(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 11.3' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 4419763, 85134] NotebookOptionsPosition[ 4363448, 84237] NotebookOutlinePosition[ 4363873, 84254] CellTagsIndexPosition[ 4363830, 84251] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell["Initialization", "Title", CellChangeTimes->{{3.749839381263875*^9, 3.7498393833691797`*^9}},ExpressionUUID->"df6838b3-416f-41aa-8feb-\ 92b063181cb8"], Cell[BoxData[ RowBox[{ RowBox[{"HaToeV", "=", "27.21138602"}], ";"}]], "Input", InitializationCell->True, CellChangeTimes->{{3.7208031947801647`*^9, 3.7208032000677156`*^9}, { 3.7208034541742477`*^9, 3.720803455246439*^9}}, CellLabel->"In[32]:=",ExpressionUUID->"f66e47c0-50bd-4108-a130-4d3b6eef42b2"], Cell[BoxData[{ RowBox[{"Needs", "[", "\"\\"", "]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"SetOptions", "[", RowBox[{"MaTeX", ",", RowBox[{"\"\\"", "\[Rule]", RowBox[{ "{", "\"\<\\\\usepackage{amssymb,amsmath,latexsym,amsfonts,amsthm,\ mathpazo,xcolor,bm,mhchem}\>\"", "}"}]}]}], "]"}], ";"}]}], "Input", InitializationCell->True, CellChangeTimes->{{3.7288240181604652`*^9, 3.728824027007351*^9}, { 3.733131339213026*^9, 3.733131352923026*^9}}, CellLabel->"In[33]:=",ExpressionUUID->"ff79391f-b0b3-409a-a00a-941dbaf24736"], Cell[BoxData[ RowBox[{ RowBox[{"PlotOptions", "=", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", "\[IndentingNewLine]", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}]}], "\[IndentingNewLine]", "}"}]}], ";"}]], "Input", CellChangeTimes->{{3.770786681935342*^9, 3.770786715824987*^9}}, CellLabel->"In[86]:=",ExpressionUUID->"fde18561-43e3-4c0a-a95a-b9d4cbabddc8"] }, Closed]], Cell[CellGroupData[{ Cell["The Hubbard dimer", "Title", CellChangeTimes->{{3.770737439801085*^9, 3.7707374871470633`*^9}, { 3.771001032942644*^9, 3.771001033744092*^9}},ExpressionUUID->"9c2617bc-7813-4cf8-b99a-\ 7080e4a61068"], Cell["\<\ These notes are based on the paper of Carrascal et al. [J. Phys.: Cond. Mat. \ 27 (2015) 393001]\ \>", "Text", CellChangeTimes->{{3.7710010355081997`*^9, 3.7710010483760157`*^9}},ExpressionUUID->"413c3c81-85ff-4454-bff8-\ cf56cbfb864e"], Cell[CellGroupData[{ Cell["The two views of the Hubbard dimer", "Section", CellChangeTimes->{{3.770738357361127*^9, 3.770738375966983*^9}, { 3.771001083122857*^9, 3.771001100772319*^9}},ExpressionUUID->"78a3f160-dbc5-42fe-84c6-\ fd027d5630f1"], Cell[CellGroupData[{ Cell["Many-body view", "Subsection", CellChangeTimes->{{3.771001087621903*^9, 3.771001090655921*^9}},ExpressionUUID->"c05480aa-12a8-42bf-9ddf-\ 40acaf6125b5"], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzs3QdgFGX6x/GQEAKCgkgXlV7tFazn2c9ylkM9y9/u2bt0sNGb2JBmR/Gs Z0EFGyAoVbCg0kUBAektJNnd33+ed3fCsiaQQNrufj/cc7tJJrO72XHf+c37 zjsNr7/74ptTU1JS7q/o/d/F13U49b77rut0STXvi3Z33X/rf+666cZz7nrg pv/cdF+b69O8by73lt3m3Snv3RcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAACKXVAhBbwKhRQuKfe+k/sDisq/QpHtyCrof9v/534etI2pFLd0 AAAAAEhsQS975bhMFvprbLMF3J0gRe20Ql4FvAxv21IgJJfxbZsKKvwzV2R8 AAAAACg2lsMCkT5Wi1+urzW3LI8FKGqXZT33luWDO2w/kW3IP2BEtgcAAACA YhKKGkOtcPzKLf8OGZ8qSEX65iMDP6Lzffg4EdkeAAAAAIpPeMy05TA3ljoU dBWdyyiqMLXDNhS0inxNvgcAAACAYhTJZF4GywpmKzOYqW2BbcrKyQpXkKIK WIGs8DYTyPS+zlROIEehnEjGj8y/BwAAAAAoHpa5LJP9unaJ3p/zoZ6c/JT6 T+iv/hMHqP8k73ZyP4oqWE3qp35f9VPfiX00YtpQTVw0Xis3rnT9926MCPke AAAAAIqNZa7NWZs1afFk3fW/u3XkoKPUpE8TNerfWI0GNlLDQQ3VcCAVl1Ua 713/hmrQp4FOHfo39R/fT3NWzlEwFMg9B4SIDwAAAADFw/L9hqyNGrtgnNqN ulTVu+2n9AfSldY+TWmd0pTaKZVKhOoYqeJ+jA5e3Z+qFj1bqPOHXTRr2WwF QuG59f3rM5DxAQAAAKDoWebasG2DPpk3Vhe/fLGqdqmqtPvSlPJAilLae/Ug VaaqfQHq/hSVu7OcUm8rp3J3lwv/XodIRS9XHM/Ptpt7U9SkR1O1/7CDZi77 Npzv/fn2yPYAAAAAUCwsc23ctlGfzv9Ul716uWo+VFMVO1RUeucKSu/iVed0 VfDuU2WouljZ+xKu9C7hqtA1/PP0u9JV/qo0lb80TWk3pin9wXRldM1QRreM yO8W33NL7+RV+wpq3relOnzSWTOXz1IgGND2a+WV9hYPAAAAAInJMtfmrE2a uPgr3freHTr48UN1YJ8Gqt//QNUfcKAO6H+AV95tv4O8OpAqC2XvyYD6uVU/ UgcO9L7fu75q3VFDlf+xlzJOrqDKl1VWrY61dZD3/jUY2FAHDjgo6j0t6jrI Vb3eB+j4oSerx4S++mHVHHdtBnfqPWPzAQAAAKDY2Kzm2wJZ+m39b/pk/liN mPGcnpkyRM9MfVZDpns17RmvhlBlqJ7x3pNn3G3ke9PD9dSUp/TQ/x7ShQ9e qAZtGqhGqxo67ILDdN2A69RvXD8N8d7TZ6c9W7zPbeoQPT3lab0y+xVN/m2K Vm1enXt9vPAs+gAAAACA4mCZy86PzsrZpvXb1uvPrX/qzy1Wq7V6K1VWy96f P7es0Wqv1mwN1+9//q5x48fp9rtvV9MWTVWnXh2deMqJ6tW/t6Z9N1PL1/5R As/Ntp1VWpO5xl2XIScnJzffR2bZowsfAAAAAIqB61N1c59Fin/x8y+0/dbG wK/4Y4XefesdXd7uMtWpVVvV9qmm1i1a6767HtCELydr7Zp1Jf4ehwfmh+8H I0W+BwAAAICiF57zLBCp8BznQVfhaKZIhaiyU1J0glYgENDmzZs1depUde3S VUcecaQqVaykCukVtd++++m0v5+uwYOf0Jw5Pygra6t7n8Pvfe7bG64ieV7R 200ocjwhvF1t/wEAAAAAoMi53GV5L+ByWDDy//Szll075Hvv/duWlaWlS5fq tdGjdeFFF6l2nTpKLZfmVXkv41dQw0YNdeNN1+uTsWO0bt1qBQI5Owb7Inxe bgq96HzP1gQAAAAAJWPHDtcd+oVJZGWbS8/BoJfZ17m++4cfflhHHnmkKleu rJSUcirnVWpqmqpVq6a/n3aqhgx5WvPm/aKtW7cq5P1ecbzBsdvN9q0JAAAA AADE8q8nn5mZqV9++UVPP/20zj77bNWuXVtpaWlevk+JVDmVTy+vhg0b6ppr /k9vvfWmli1bpuzs7B3WE10AAAAAAKBk+Fl806ZNmj59uh566CGddNJJLsfv u+++qlixotLT011ffo0aNdSiRQtddNFFGjp0qObPn++OC8Sui3wPAAAAAEDJ 8rO4zav3/fffu9x+22236dJLL1Xbtm1Vr149Ny6/WbNmOuOMM/R///d/6tSp k9544w0tXrx4h3wfvT4AAAAAAFAyovvabZz9+vXrtWjRIs2ePVvjxo3To48+ 6vryLdv/+9//1nPPPafJkyfrxx9/dPPwbdmyxZ23n9d6AQAAAABAyYgdT29Z 3a6Rl5OT4/L7iy++qHPPPVeHHXaY7rrrLk2cONEdA7BlbNn8cjz5HgAAAACA kpXf+fIrVqzQyy+/nJvv7777bk2aNMmdp1/QdQIAAAAAgNL1xx9/6KWXXtqh /76g+R4AAAAAAJQNfr7/xz/+kZvvv/rqK/I9AAAAAABxhHwPAAAAAED8I98D AAAAABD/yPcAAAAAAMQ/8j0AAAAAAPGPfA8AAAAAQPwj3wMAAAAAEP/I9wAA AAAAxD/yPQAAAAAA8Y98DwAAAABA/CPfAwAAAAAQ/8j3AAAAAADEP/I9AAAA AADxj3wPAAAAAED8I98DAAAAABD/yPcAAAAAAMQ/8j0AAAAAAPGPfA8AAAAA QPwj3wMAAAAAEP/I9wAAAAAAxD/yPQAAAAAA8Y98DwAAAABA/CPfAwAAAAAQ /8j3AAAAAADEP/I9AAAAAADxj3wPAAAAAED8I98DAAAAABD/yPcAAAAAAMQ/ 8j0AAAAAAPGPfA8AAAAAQPwj3wMAAAAAEP/I9wAAAAAAxD/yPQAAAAAA8Y98 DwAAAABA/CPfAwAAAAAQ/8j3AAAAAADEP/I9AAAAAADxj3wPAAAAAED8I98D AAAAABD/yPcAAAAAAMQ/8j0AAAAAAPGPfA8AAAAAQPwj3wMAAAAAEP/I9wAA AAAAxD/yPQAAAAAA8Y98DwAAAABA/CPfAwAAAAAQ/8j3AAAAAADEP/I9AAAA AADxj3wPAAAAAED8I98DAAAAABD/yPcAAAAAAMQ/8j0AAAAAAPGPfA8AAAAA QPwj3wMAAAAAEP/I9wAAAAAAxD/yPQAAAAAA8Y98DwAAAABA/CPfAwAAAAAQ /8j3AAAAAADEP/I9AAAAAADxj3wPAAAAAED8I98DAAAAABD/yPcAAAAAAMQ/ 8j0AAAAAAPGPfA8AAAAAQPwj3wMAAAAAEP/I9wAAAAAAxD/yPQAAAAAA8Y98 DwAAAABA/CPfAwAAAAAQ/8j3AAAAAADEP/I9AAAAAADxj3wPAAAAAED8I98D AAAAABD/yPcAAAAAAMQ/8j0AAAAAAPGPfA8AAAAAQPwj3wMAAAAAEP/I9wAA AAAAxD/yPQAAAAAA8Y98DwAAAABA/CPfAwAAAIhnodJ+AkAZQb4HAABAcbLs FXQVVCAUiCrvOxS1WxVwFQqFvFK4SntDB8oA8j0AAACKi+V6L4W5LL8tuE1b cjZrS5ZX2Vu0NWdrCVRmVHlfZ0f9LLskHp8q0rL3zLad7M3alrNFOcFsBYNe 3g+GXNYHkh35HgAAAMUlFMn2G7I2asaymXrp25c1cMJA9R7fS72/6u1Vnz2r iTuvPhP7qs9XVnZ/x3LL7OnjUyVSue+fe897a9BXA/Ta7Fc0a/lMbdq2ScEQ +R4w5HsAAAAUh5DC+T4nlKPlm1Z42X6ULnr5ErUa0FoH9DlAB/Y/cM+rXz5l PxtwULj6+1UEj0eVbg3wqu8Baj2wlS59tZ1e8TL+ys0rI+P0yfcA+R4AAADF wc/32aGAftu4XE9+M0Rtnj5eVbtUVbn25VSuU3FWarg6p26/H/3zzsX9+FSx VEevHiynal2q6aShp+jpqUO0fNMfCnrbWdBtbUByI98DAACgOPjz6uUEc/T7 +mV6cvLTOu6JNtqnwz5KuS9FKe2LsTp41dGrzikq162cUh9KVWr3VKV08b7X KfKzDsX8HKiirQcj5W07+3SsqhOHnKSnpjytZRuXke6BCPI9AAAAioPffx8I ZGv5+qV69ptndfKQU1Sja01ldKioSl0reVWxeKqbt+7ulZTxcIbSHy6v8o+U V/oj6cp4JEOVHqqovbyfVepWTI9NFU91qaiK3m1Gp4qq0b22Tht+hoZOG6bl m5bZlRlcxmcWfSQ78j0AAACKw/Z8n6UVG5dp1OxXdMlrl+rgxw9Tw/6N1fTx pmr2eJOir8HhaupV/T77a5/O+yjjvgxV6VBF9XrWUZNBjdX8iWbF89hUsVVT r5oMbqoGA5uo9eAjdPl/r9Jr37+mFZv/UCCU7TI++R7JjnwPAACA4uDne7tO +Zasjfpp1Ry99/P7en7mCxo+fbhGzhxRbDV06lD1/7S/rnvierX6dyvtfdI+ anhhQ13W6zL1GtNTI6d7y80ovseniqdGeDXMe9+en/mSPvhljH5e9bO73mIw FGR+PUDFl++ZwxIAAABhIZe/tuVs00Yv56/LXOfV2kitK5ZatmaZvp7xjR7t 9aiObnu09qlZVc0PbaH7OtynLyd9qZXrV2rt1uJ7fKq4yt9u1mtT1iZlBba5 bStyMAlIekWZ76PzvJ/vY6soxK6L4wgAAADw2b7hn3/+qU/GfKzbbr5NzRo3 U6WKlbR/3Xq66vIr9cG7H2jNn2sUyMkp7acKAEWqqPJ9bIbPL98XNvMX9HfJ /AAAADBbtmzRt99+q8cefUxtj2ur6tWqKy0tTXtV2ktHHn6EHurWXdOmTnX7 u7H7rgAQz4or3+f3s8L25e/OcQE+mwEAAJKPv4+4cuVKvf3227rs0stUp3Yd VahQQSkpKSpXrpz3dW1ddNFFGjVqlJYvX66cSB9+UY83BYDSUNTj8wOBgDZv 3uzGRNm67fN1w4YNys7O3u2x+rHL22PYcdk1a9ZoxYoVrtatW6dt27YpGGRu DQAAgGRk+4FZWVn68ccf1bdvXx3Xpo0qVqyo1NRUl++tqlSpoiOOOELdu3d3 ffx+H35xnFMKACWtKPO9n+3nzZuncePGueOmY8aMcZ+dlsV3N3vHjvvPzMzU 4sWL9eWXX+p///ufq2+++cblfDsGy2cyAABA8rFs//vvv2v06NFq166d6tWr t0O2typfvrxq1Kihf5x7rkaMGKH58+fn2Q/F/iSAeFSU+d4+U5cuXarXXntN V111lU477TRdcskl7vjp999/XyTZ244h2LGC999/X7fccovOPvtsnXPOOerU qZPL+HZ8gT58AACA5BCdxbdu3aqff/5Zzz77rC688EK1atVSderUUZUqlV2u r1SpkmrVqqUmTRp7+5BnqV+/fpo9e7brO/L3H8n2AOJZUeZ7+2xcuHChBg4c qEMPPVT77LOPGjVqpJtvvlmTJ0/OPTZqduf8e2PHCKyf3o63nnTSSe4z2uri iy/WRx995M4FsM9nAAAAJL7ofUXbF12wYIHeeustde3a1e2DnnfeuWratLH2 3ruKDjigvs4443Rdc83V6tixg15++WV3PCA23wNAvCrqfG+fqXYstGXLlsrI yFD9+vV1/fXXa9KkSX/J9wX5/IwdJ2X53uZCGTp0qNq0aaOqVau6uuCCC9y5 AOR7AACA5BG9n2jjPG0f1saTzpkzx50j+sILL3j7iee7fdKTTz5JTzzxhMaP /9Kdo79kyRJt3LjR/R599wASQXHk+/79+6tVq1ZuPpMDDjhAN954o8v3uzM+ P6/+e3vOw4YNU9u2bVWtWjXtu+++bgyW9d/bZzT5HgAAIPn4+4y2L2j7jNa3 NGHCBP3f//2fG1N67rnnunmb/DmbYsfkk+0BxLviyPcDBgxQ69at3TlOlu9v uukmNz5/d8+/zy/fH3/88eR7AAAA5Mn2Ca2P6ZprrlHjxo1dvn/vvffcdZ5i xe6jkvUBxCPyPQAAABKRjbu3/Vrrv2/YsKGbk/ndd9/VqlWr3M/z2y8l2wOI V+R7AAAAJKJd5XsASDTkewAAAMS7vPYxbZ/Q9mttfL6df2/7u3b+fUHG5wNA PCLfAwAAIBHEzpEX3X9fkHxPxgcQ78j3AAAASESx4/N3lu8BIBGQ7wEAAJCI /PH55HsAyYJ8DwAAgEREvgeQbMj3AAAASETkewDJhnwPAACARES+B5BsyPcA AABIROR7AMmGfA8AAIBERL4HkGzI9wAAAEhE5HsAyaYk8v2NN964R/k+2s7y /ZgxY7RhwwbyPQAAAMj3AJJOSeX7SZMmKTs7u0jzfdu2bfPN93v6OAAAAIhv 5HsAyWZP83302Hk/3/fv37/U+++jnxcAAACSD/keQLIpqnxvlV++39Pz76PZ OlasWKHhw4eT7wEAAJAv8j2AZFMU4/PzyvetWrVSxYoV88z3e5K7o/P9rsbn k+8BAACSF/keQLIprv77XeX73c3eefXfW/3zn/8k3wMAACAX+R5AsinK+fW2 bdumxYsX68knn9RRRx2lKlWquHx/ww03uHUW5fx6Q4cOVZs2bVzffe3atfXv f/9b48aN4/p4AAAAcMj3AJJNUeb7rKwsLV++3K3v9NNP13777af9999f1157 rSZMmOB+Hp3vdyfr2zGCZcuW6ZlnntExxxyj6tWrq0mTJrrjjjvcGIGtW7fS bw8AAADyPYCkU5T53vrW161bp48++khXX321DjzwQNWtW1dXXXWVvvjiCzd+ 38/euzt+3vL9b7/9psGDB+vII49UzZo1deyxx6pXr1768ccfi2SMAAAAAOIf +R5AsinKfG+fodZ/PmXKFN1///1q0aKFGzt/6aWX6uOPP3brjD43viDn4sf+ zI4RzJ071+X5Qw45RHXq1NHZZ5+t5557Tr/++itj8wEAAOCQ7wEkm6LM95bF rQ/f+tEfe+wxtz4bo3/eeefpjTfecJ+lsXPs7Srjx/7Mntf06dPVvn17NWvW TPXq1XPHD95++233Wui7BwAAgCHfA0g2RZnvjX2O2hz6jz/+uBs3b3Pbn3zy yXr66ac1b968Hcbo5ye/zG9f2+exzZN/3XXXufH/Nn+f3be59VavXr3D7wMA ACB5ke8BJJuizveWq22dr7/+us4//3x3frzNf3fFFVdo1KhRbn59m2d/Z7+f X7a3a999/fXX6tq1q5tbz8b+2xj9Ll26aNasWdq8efMO6wAAAEDyIt8DSDZF PT7fyq5RZ+u4++671bx5czdGv2XLlrrtttv04YcfuvnxYufSj11HNPtstuz+ ww8/uHEAZ555pltn9Ln3v//+u5tbL791AAAAILmQ7wEkm+LI95azbSz+kCFD dNZZZ6lWrVouj59wwgnq3r27xo4dqyVLlrjjAFu2bHFz8uVV9jOrNWvWaM6c OXrllVd0zTXXqHHjxtprr73cMQM7hmBz81vffuzcfQAAAEhe5HsAyaYo8n3s PHn2WWrXyZsxY4YGDhzo+tjtPHm7Vp6dk3/llVfq0Ucf1fPPP68333xT7733 nj744APXt29l9+2z13726quv6qmnntK9996rc845x2V667e3cfm33nqr3n33 XS1dujS37z76+QAAACB5ke8BJJviyPf+PPqW8e18eZtL/9RTT3W53Obbs5x/ xBFHuNz/r3/9y+V9+9y1vvlrr73W3dr5+vYzO4ff5udr2rSpqlevrho1aqh1 69ZuTj07x9/O5+ea9wAAAIhFvgeQbIp6fr1olvFt/R9//LE6dOjgcrr149tY fcvpNj+eZX27xl1s2ffteICVP77fbq3f3rL/8OHD3XX4iuJ5AgAAIPGQ7wEk m+LM99anbnPlL1++XFOnTtWLL77orlt/2WWX6fTTT9dxxx3n5t+znG/n06en p6t8+fLKyMhw/fwHHXSQe04nnXSSLrjgAv3nP//RgAED9NFHH2n+/Pnu/P1A IFAEfwUAAAAkGvI9gGRTnPneWMa3DG7z5Nkc95MnT9bo0aM1aNAgderUyY3H t6xv/fKNGjVymb5Zs2Zq06aNLr74Yt15553q0aOHRo4c6cYB2Dx7Nt+ejcm3 z2wAAAAgL+R7AMmmuPO9z59Xf/369W7ufLte/aeffurmxO/du7fuuece3Xjj je7ce+unt2va2/z79hls5/DbfPz2WWzz6vu5nnPuAQAAkB/yPYBkU1L53mef s1lZWW799tlqffpz587V7NmzNX36dDeO3+bdt3PrFy1apBUrVrhjApmZmW4c QHSmZ558AAAA5Id8DyDZlGT/fV7X0bPMbvPwWd++lWV//75935bxr2uf13oA AACAvJDvASSbksj3eWX7wv5+XusDAAAA8kO+B5BsSnp8PgAAAFASyPcAkg35 HgAAAImIfA8g2ZDvAQAAkIjI9wCSDfkeAAAAiYh8DyDZkO8BAACQiMj3AJIN +R4AAACJiHwPINmQ7wEAAJCIyPcAkg35HgAAAImIfA8g2ZDvAQAAkIjI9wCS DfkeAAAAiYh8DyDZkO8BAACQiMj3AJIN+R4AAACJiHwPINmQ7wEAAJCIyPcA kg35HgAAAImIfA8g2ZDvAQAAkIjI9wCSDfkeAAAAiYh8DyDZkO8BAACQiMj3 AJIN+R4AAACJiHwPINmQ7wEAAJCIyPcAkg35HgAAAImIfA8g2ZDvAQAAkIjI 9wCSDfkeAAAAiYh8DyDZkO8BAACQiMj3AJIN+R4AAACJiHwPINmQ7wEAAJCI yPcAkg35HgAAAImIfA8g2ZDvAQAAkIjI9wCSDfkeAAAAiYh8DyDZkO8BAACQ iMj3AJIN+R4AAACJiHwPINmQ7wEAAJCIyPcAkg35HgAAAImIfA8g2ZDvAQAA kIjI9wCSDfkeAAAAiYh8DyDZkO8BAACQiMj3AJIN+R4AAACJiHwPINmQ7wEA AJCIyPcAkg35HgAAAImIfA8g2ZDvAQAAkIjI9wCSDfkeAAAAiYh8DyDZkO8B AACQiMj3AJIN+R4AAACJiHwPINmQ7wEAAJCIyPcAkg35HgAAAImIfA8g2ZDv AQAAkIjI9wCSDfkeAAAAiYh8DyDZkO8BIPGEcv/Jlfv/8P8iXwM7YrtAIiLf A0g25HsASCzhXB9UKBS0/3dl90NB735QCmh7lgtRiVGhnVQBfz8Y2vGYUPhe 1EJAHCLfA0g25HsASCwuo4XCFfAqx8v2AZfvvbwfDH8vVPgESSVw+duLOw7k fy/y/Wj+ckC8IN8DSDbkewBIPH4OC3p5LSeS8+2+X+R7yq/cf36+j2wfud/L 4x8QL8j3AJIN+R4AEotLbSFFZfxQ7thrhQKRIuFTfvk5Pnw/Kt1v79cX+R7x iXwPINmQ7wEgsQQjFTO7XkRoh6+AWLFbhz+fQzA6+XsL+QWUZeR7AMmGfA8A icOyV04ooA3bNuq3Db9r/tp5mrd2rhasne/VQu/rBVQC1YJCVGHWNd/bXuat maclG5ZoXeZaZQW3RRJ+MLcHn4yPeEC+B5BsyPcAkDjs3PqtOVs198+5emfO /zRs5jANmfm0Rni3I2aO1HBXI1zZ11QC1LcjNdJqZt61O+scNnO4np0xVG/+ 9Ka+X/m91m9bn5vvd5i9gXyPMo58DyDZkO8BIHHkBHO0dttqfTL/I93x3p06 88UzdeqLp+isl07X2S+e7X19ts546UyvzojcUolQZ758VqTO/EsVal2R5f/+ wmn62/On6qb3btbbc97W8o3LY0bpR8bxc7oHyjjyPYBkQ74HgMSRHczWqi0r 9Np3o3Tm82epXp/9tV+v6qrdp6bq9KmjWn1qe1VLNam4rlq9vdveUV/nV329 n/ctxHrdbU3t17OGavSoqb+PPE1Dpw3T4nWLd5hvL3eUfky+L+pr522/bh/X 5cPuId8DSDbkewBIHNkBL99vWqEXpj+vNs+0UeVulZXWubzSu3nVPV3lu5dX +YfCldadipcq3y1caZHb8l0jX9vPuke+9t7n8p0it93C77n/fu90/dHrjTxW Wuc0VeiUoWOfOk6DJz+hBWsWuhwfCir3uouuJz8Uys33sVm8KDJ5Ua8PyYd8 DyDZkO8BIHFYvl+5cYWemzpSRw8+RhntKyrlgRSldPSqU6Q6R6oTFVfVMeZ+ 1NflvPc49Q7v9lav7vK+1z7q5wV9vztG3T6YovIPlNfRjx+jgRMHaf7qBeEc Hwxn/HC+D3h5O5h7An50BrdMVdR5nIyP3UG+B5BsyPcAkDjs/PvVW1frvZ/f 03VvXK+Thpyi455pqzZD26rt0ON1/DCvhrf1bql4qraxNTTyfe+9PGbIsWra uZmqXVxVlc6oqJpX11Lrnq113LPH6oQRbXWCvecFWPfxQ8Nl6247xPu9Z07Q tf+9Vq/NHq3fN/yeOxY/nLGD4crj5Hv621GWkO8BJBvyPQAkjkAooE3ZmzR7 5Wy9NPtl9Z80UL0n9VPfyf3V/+uBGuBqgFf9NZCKixoQqf5+TQ7fDvimv/pN 7qtuYx/SJY9dqoYnNVb1pvvp8AuP1A1Db9JjXzyix6cM0KDJA7z1DNjFuvtp gLdeq/6T+6nfJO/2q/566duXNH3pdK3LXBfewELhQfqW7XNycrRl61atX79B a9eu1YYNG5SZmalAIFBk+d7WZeu0ddtjrF+/Xlu9x7TH5tgBCoJ8DyDZkO8B IHFY5gkEcrTey2NLNizW3LVz9YtXc9fNi1zjfKEWrqPirex9cxW5Pz9yf86K nzR29hdq36eLDjnycNWuVU+nn3O2nnzpGU2ZO0WLvPd8kbfsop2te134mvcL bdtYG75v28r8NQu0ZP1vWuttS1mBrNz59cIn4Qe0efNmLVq0WNOnz9DkyZM1 c+ZM/f777y5/W6YqCrYuW+e3336rSZMmeY81XYsXL3b7KJb9gV0h3wNINuR7 AEgsQS+D5QQDXibbpszAVmUGM73bbdrmZTS/LK9lB6l4qSz3vnnvYc729zEz J1NLli/R6LdG6/KrrtCBBx6kvSvvo0MPPkwPdnhQX309Ues3rdO27G3Ktvc7 tvx1B7e5bSUr8v2s3O0k/D075yMYCkb1yQe9zJTj5exFeuHFF739hrtddrr3 3nv19ttvu/2KrKysItmWly1bpnfeeUft27fXFVdcoTvvvFOvvPKK5s+f77I/ sCvkewDJhnwPAIkl6Crkcr67kllkPHUwFIpUMPx9Kn7KvX8BBYKB8Nx23vu4 NXOrZn83S927d9URhx+mvffeW2lpadqvenWvTT9bL496SUuX/a6s7Kwdz5nP PXd+ewW148+Ckcdzc+gpGHNOfTjfz549S/ff/4AOPuRQ1apVS4cffrj69Omj BQsWuDH1RWHu3LlunW3atFG1atXUsmVLdezYUdOmTWM/pRSFxwkFtG3bNnec xcqO6fjnZkQvV9D1xS7rP4at138Me7zCnptBvgeQbMj3AJBYYi5JnufPOHM5 noTfsXCu9vN9UKtXr9aYj8bo6quvUt26dVWhQgWVK1dOGRkVdNjhh+qRxx7R rFmztGXLlkgeip33Lra2P57/L7+f2/Ow8fi33367GjRooIoVK6pJkyZ69NFH NW/evCLrW//pp5/08MMP6+CDD3avrX79+rrnnnv0zTffaOPGjUXyGCiY6G3H tik7jjN27Fg3nuKNN95w508sXbo0d+xGYeZgyOs6iJbl7dyML774Qq+++qpe f/11ffrpp1q4cOEOj7Er5HsAyYZ8DwBAWRfJPZFsnbkt02X3hx95WMccfbQq Vaqk1NRUpaSkuNvadWrrggsu0PPPP68lS5bkmbm2Z/zCPxd7DnZO/B133JGb 75s2bVrk+f7nn3/WI488Qr4vA6K3G8vG48aN04MPPuj2H//973+rX79+mjJl Su7+457me3t/7X1+6KGHdOGFF+rSSy9Vly5d9PnnnxdqH5V8DyDZkO8BACjb onNSdna2VqxY4fpML7roItWuXdtlX8v2Vnbf8r7lbb9NX7du3Q7r2NP57S0z +fneMpPl+2bNmhVLvrd1HnLIIbn53s7zJ9+XvOhtxuZFePnll3XWWWepatWq buzGDTfcoDFjxrjrHMQuX5jHsG3LbtesWaMPP/xQ7dq1U506ddx2Zjl/9OjR bnsuKPI9gGRDvgcAoGyLzkmWnX/55Rc9+eSTOvXUU93Y/CpVqig9Pd313Wdk ZLjMddBBB7l+1TfffNONm/ZzU17rLKzSzvfWT0y+L1nRed3GzY8cOVInnHCC e19s/gXb1iw3Wy7fk3X7ZeefvPvuu27/1I5X7bfffjrjjDPcPmv0MYRdId8D SDbkewAA4ofNXWfzx9tc9TZ23c6Btzb8wAMPdLm+VatWbiyzzTU/aNAgN57Z 2vq85j7b3YxPvk8+sfl+xIgRBc73u9rG/nreiNx6ovN9jRo18sz3u1o3+R5A siHfAwAQP2x8vmUTy742Tt3mHOvZs6eOPfZY7b///jrvvPM0fPhwffbZZ5ox Y4YWLVrksnBs//2eIN8nn5LM9/74fFsf+R5A2bCzmYsLvnRJIN8DABAf/POT LeNbhra2etWqVe6c5NNPP12NGjXStddeqwkTJrjv2zzn1t/vX1OMfI+iUNh8 X1h+vrf++3POOSff8fkFQb4HsLsiV56Rf+VhhYJRl5UJ7XCtWffNSDsb3P4b pYJ8DwBAfLLssnnzZjdW/+yzz3bznN14442aOnWq+35xPi75PnkVd7430fne ti/L93YM68UXXyTfAygRdkg86K5dE/C+yPEqEDlWbuPh7Hq14Qq53O8WVsir YPhuqfXhk+8BAIhPll2svX7rrbdcvrc582+66SbyPYoV+R5AMrDIbnndsvz2 fB/MzfWBSLnz31yoD58Hl5vvSyngk+8BAIhP5HuUBvI9gGQQGYa/fW4QG4nv 8nvQfbYEg4Fwudyf4/00x/X1B93/hxifDwAACoV8j9JAvgeQDFyid9k+kvO1 PfOHc34k67t8H4hk+8i/UNHNaVtY5HsAAOIT+R6lgXwPIDkEw+faR86rD9l1 ZrOyFNq2zatMBb3boPd10OawDUTG5od7+cN5P1Q6PfjkewAA4hP5HqWBfA8g OYTn0gsGvNtsL8N77W1w1UqFli9TaNlSBb3b4OpVCm3e5DJ+IHLuvT//njtv vxRm2SPfAwAQn8j3KA3kewDJITI+PytboVVejh//pYID+ivYob2CD9yvYLeu Cg17VqEp3yi4cUNkvL4i8+lHrplXCsj3AADEJ/I9SgP5HkCycOfgZ2ZKCxco 9PSTCp50goJ16ypYs6aCTZoodMnF0qhXFPpzVe4cfPKvl0e+BwAAhUC+R2kg 3wNIHl5Gz/TatHlzpX59FGrVQsG0NAVSUhSsVk2hv58qjRgurVwZmYMvOt+X DvI9AADxiXyP0kC+B5A8ovJ9fy/ft26pYPlIvt93X4VO+7uX70d4+X6VW5R8 DwAAdldJ5Hv/ur+xjxud7ytVquTy/WOPPUa+TwLkewDJI5Lv53v5fkA/hQ5u rWB6+e35/vTTpJEjyfcAAGCPlWS+j874eeX75s2bF0u+f+SRR8j3ZQz5HkDy iMn3hxzs5fv0v+b7VeR7AACwZ8rK+Pzi7L+3fH/wwQeT78sQ8j2A5EG+BwAA JaO08n0gENDMmTN1++23q0GDBozPTzLkewDJg3wPAABKRknm++hx+va4s2bN 0j333KMmTZpor732yjPfx563X1jR4/PT0tJcPmvfvr2mT5/OfkopKsl8b/un 5HsApYd8DwAASkZp5Xsry94PP/ywDj/8cO29997usR966CH3/S1btuT+zp6Y M2eOunfvrtatW7uMd+ihh6pHjx768ccfcx8DJa+o831e24mtx9Zn+6c2PsTP 97bPSr4HUHLI9wAAoGSU9Pz50fl+2bJlevnll3XBBRe4fNe4cWM9+OCDbty+ P3a+IPk+9riB/z07B8DGCFh/vc3dV7NmTfdYr776qtt3ycrKKpLXh4KJfi/9 fH/88cfvMt/ndf2Fgsgv3/v993nN+5gX8j2APUO+BwAAJaO0zr83lr8++eQT XXfdde68eMtOd955p77++mtt2LDBLbOz7BWb62PL8rudZ2/rbNSokQ488EBd f/31GjdunHvNlv9RcqKz9NKlS/XCCy/ob3/7m9K9/dw6derkme8LmsHzehzL 32+//bY7/97yvR1DsPujRo3aId/vCvkewJ4h3wMAgJJRmvneMrztL/hz6Fv+ vuaaa/TRRx9p5cqV7rntbr637G4Z7uOPP3a5zD9+YI81adIkZWZmuvWj5ES/ P5aN33//fV1++eVuXEW9evXUrl07tx2uXr06z9/Z1bpjv7Zt6PXXX9cZZ5zh 5new99+O79g2UZi5Fcn3APYM+R4AAJSM0jr/3ljGtvPg7fz4li1buv7VY489 1s13P3v27ALPoZ/X+Hw7t97G5vfq1Utt27ZVlSpV1KJFC3Xr1s2t2/L/np7b j4KLfY8sX9s4DbuWgc2reMABB+jCCy/U6NGjvV3cVXn+XmEfb/ny5W7/1MYI 2Ptvcy907drVza1YmPkbyfcA9gz5HgAAlIyS7r+Pzms5OTlasmSJnnrqKTfP Wo0aNVS7dm3961//cuOqrf+1sOs0lt1t3+TNN990Y74POuggN7eeHTt44okn tGDBgt3Ojdg9/jUT/L+5f2ynZ8+eOuaYY9x7ZGPnn3/+eTcvgz+2Yk/y/a+/ /qohQ4a44zv77LOPO9f/8ccf19y5c7Vt27Yd1r8z5HsAe4Z8DwAASkZpjM+P vkaejcW2rGTj8u2xLYcdeeSRrp/1888/12+//aZ169a5PGjHAyy72+9Fl33f zrW3Ptn169dr8eLF+uyzz9S5c2eX6e2YgfUP21hwO26wYsWKHZ4Hil9s/729 Z4sWLdLTTz+tU0891eX7k046SYMGDdL8+fNz5z7c3ffItpOffvrJXSvB9k2r Vq2q0047zZ3zb+f+Z2dn565/V8j3APYM+R4AAJSM0jz/3lg/quU8m0ffzr/e f//9Va1aNXe9+ksvvVQDBgzQF1984TK75Xx7Tpb17fesLNPbWG/LWraeCRMm uD76q666yq3DxgRYdrzkkktc37Blx8L03aLoROd72+788fPnnnuuO/7SqlUr N17f9iHtOE307xR0/cbWbdvJ+PHjdcstt7i5FatXr67zzz/fbec2f59/fgb5 HkDxI98DAICSUdr53h7fMrp/rrz14e7r7e/Y+dI255rNjWZ9+bafMWbMGNcv b7lt4sSJLstb9h87dqzLW3bdMzuX366BZ5nO5ky3ddk6+/Tp4x7DjgXkdb4+ il/s39xy9ocffujmvGvSpIl7vy3rP/vss/rhhx/cdmn9/IV5nyy327GBOXPm 6JlnnnHbj83N36BBA914441ue7G5GaLPFdgV8j2APVO2831en4U2zs2Ou9tn suX7u+++281NG53v82tLaVcBACh++bW3fr73ryNmc53F5vv82u2iasPtOVhf gc2bb9eqP+WUU3L7XG1OffvaxtbffPPNbv5728+wft577rnH9SncdtttLiNe dtllbi41O0Zhmc76hE8++WS3TjsGYOfzR4/LJt+XrNi/teVsOwffxuTb+2Rj Lew9u/jiizVs2DA3vt62zcJc58DWaccG7Lz7f/7zn259th3ZNjR48GD98ssv O/Tdk+8BFL/4yPfRn4eW71955RWdd955Ovzww117O3ny5HzzfV7rBAAAxSe/ Ntgfy/zOO+/k5nvL0TbHuGWl/NZT1PnYcrflpW+//daNo7e+Vhtfb/3vVv7c e5bbrZ/Xqm7duq7sezb3vi1jY/vtemu2P3LDDTe4dc2YMcOd5+/3Bce+DpSc 6L+5vef2vti4jOuuu871sduYCzs+c+WVV3q7uyPd9mD9/NHvXSzbhu18feu3 //777zVixAg3r6IdI7LtwW5tm7ZjPLaNFfa9J98D2DOJke931n+f3zoBAEDx 2Fm+txxv+d7G5/v5ftq0ae77eeX54mq3/WMN1sf62muv6c4773Tjq4866ij3 vCzT77333ipfvrxSvP2icuXKKS0tLXcsvy1jy9pxCuvjt2ut2VzpNiY/ejw2 4/NLT+w5+DYXgvXT2zx7dl6FzZVgx2z8+Rdsfv3//ve/bq5Fy9jWf2TX1bOy +7a/aedpjBs3zp1j0q9fPzfWo3Xr1u64j1130eZ1GD58uNsW7FyQ2Pee+fMB FK+ym+/9z0I7RmqfafZ5PGXKFHfulJ3vZte2sWOu9nk8dOhQd47TzJkz3Xw3 GzZscMdeAQBAyYvONNZvatcY//nnn107bu1179691aZNGzee2cY1W9+pfd/6 vhcuXOjacT8jF+fzs8ewx7Ln9sEHH7hzqG0O9AceeMCNwbcMaGOt7Zpndr0z G9dt86ZZ/68tY3nQxnbbvokdJ4g9h5t8X3pix0749+2Yjp0v/9xzz+mKK65Q ixYt3Jj6/fbbz/W92zEbe8/PPPNMd+zGzge1jG33zzrrLDcv/oknnuiWs/P4 bSyH9dvbemwMx+uvv+62YXuc2OvuFQT5HsCeKfv53sY/2THTRx991F2j1j5v rd/exs3ZdW1sfJW1u9afb+2tzZNin9slMU8PAAD4q+g8a+249Xk+9thj7px1 y0iWjWxcu/WF2znvlp0tP1k+smP2lrft+H5x53tjecrmyLf58u28fLtGns17 P3v2bJezPvnkE5f9LcPbfXstNneeLfP777+7cYX+NfV21m9Pvi9ZefWbRx/T +e6779yxGet/t/4iG6tvYzUqVKigypUru31My+12vobdWtl172ybtWVtOVve vrbft2MFdn6Gf7372GxPvgdQMspuvvdZm2nH9G+99VY1b97c7Q/Y567/uZqR keHGz9lYOevTt+Pu9plNvgcAoHREZ5q1a9e68cy33367uyaZP199ure/YePd rR23r+189hNPPEG9e/dy5zUXZ77f1XP3z7G2fQk7PmGvwcruWx+9/Wxn87CR 60tffvneH1Ni59nbuE/rx7d5E62fyO+Xt/H2lq2tL8lyvWV9227ta/u+/fzo o49210q48MIL3fyLds0FO+5j20jsvJCFmSeSfA8UVCicTWO+l9xCrkLR+f7g 2Hx/ukLPjVRo1crIXzBYgvk+/PzsfDzL63atGfsctfbfcr2dB2eVmprqsr4d //9Xu3bu8/XXX3/Nvd5ssT693GcJANhjO3yuhnI/X3dVKINsPyEUace9jPz9 99+pf/9+Lj/tW21fpaWm5bbj5bx2PCOjgurVq6t27f6l1159TUuWLMmdd7zA b3TuYxb2qeb9O37Ot+fhl31d0PMGyPela2d/e3sP7TwK28e0MRs2B75dC9Hm YXjiiSfUuXNnXX311e76CHatJsvzRxxxhBubf80116hLly568skn3Vh864Oy c0jtegm2PttOYp9HYZDvURB78rmyJ59LO/udPf28K9zvWioN/wtFPvtz9xqS +vM2GP7LePk+NM/L9/37e/n+EJfvg16+D3j5Pnj6GQp6+T64aoVbNiRra+28 soJfO2T3hNxjWNnn5OrVf7rPTzs+2qJ5c2V4ed7mukkpl+LtF5RT5cpV1KbN 8erbt19u331hrm9S2Ofm70OEIttS9D8AKArF1f4Wxe/vKrcUdlyyfVoHI8PD 7DbSOlmL4yr8WRtZLqb8+IeyZvt+VtBrxzdv3qSJE8brjttvU7MmTZWeWl6p XrZPiVTVqvvo+OOPU/9+ffXzT7/kzkuW34GcqMMHkfLHFwa3bxShPLZlDgoh RvR8+EuXLnXX0Bs/frzL+gMGDFDXrl3VsWNHdevWzV1bzzK9naNhmX758uVu rL+NByiq4zjkexS3/Nrloj4OWbzHNb22xVt/IBS+DYW0PYu5nLo9ryVXRef7 eV6+H+Dl+0MVSq/g8n3Q5fszFXruOZfvg5G9raBywlm/JJ5jMHxr57QtWrhQ w4cO1Wl//7v2rVYtnO9Tyik1LU116tRTu3aX6+2339GqlauUkxPwN6yiLX8P M7IPEQqGj0EEi+gzHQBMIn+e5LVPEYy006FgpL3OzffuyHzUvkh+H8+l3Z5S uy5p4cIFenLwYJ18wkmqXKmy68NPKZeqVO+2/v71dPWVl+m9/72jtavXehkn 0ubmsS7Xrx6K2j+N+Vn02I+/boD5/QDJLPqcDDv/wvribX4FG79vc0D5c+nb 9fMWLFjgfm59SZbri3oeSPI9ilpBt8/4GmsUbgfCldvM7Djyr9TbvdIp9z56 2Tk0f4E0YJBCh1i+9/vvq0fy/fNufL7fnxLZ2/pLm1qcFcjJ0bq1a/Xl51/o njvvVqsWrVQh3c6/T9c++1RV2zbHq8ejPTVj+kxt2bJ1e999cTwfv9coMr6A sXcAUHB55nvXPoc/T9392HFRoZ3n+9JuS6ldVfh9XrN6tcZ+8oluufkWNW3c VHtV2stl+6r7VNNJx5+kAX366ofZ32mr145H3tg815f7b4f2N1zR97bf1/Zt jqYaitoeYu4bf+y+nedp4+0tx1vmt1sbV2Lfj71GQlEi38MU5XaVmBnFz2Kh 3H0Iv0JJXu7vkOnlYS/fBwcOUvCQQ3LPv8/28n3gjDMVfO55BS3f5/7dAiX+ 97PPuuycbP366xK99MIrOu8f56l6tX3duPyGDRvpputv0scffKwVf6wInx9X 7H+3gCvyPQAUXL6fk9ZMB8LtcyCqjf5rhfKo0m9LqV3V9jnNFi9erJEjnnPt eK0aNVUhPUONGzbTbTfeqS8+Ga8NazdGstPO2uC/1vbvR+3nuSNFUZGedhp5 KGv7cOR77K6SyCSFWXd+5wAU5DnuepnwzwPBgDIDmdqcs0lbsjcrM3urV5nK zLHalpS11XvtWzev05ZfflRm/z4KHHJwbv99zr77Kvv005Q1cqgy/1iird7f bmtgi1fe3867tb9l8T23zPD7k7O9tnmPt2rtKo39bKxuuul6NTjoANWosZ+O PvZoPfLIw5o5Y7rWbVjrPa9t7rkW23PznpfbhrzK8h4rGAhGTvfj/HsAJW9n beDuzu9VkPUVFbc+L9vnZOd4n6tbtSlnszZbW+O1A/a13d+S47U5+dbWpG7H y2ZF2vCYdty+v2L1Cn087hPdcsstatSwkSpX3ltHHXWcevXoq+9mfa8tWzd7 +2i7ek8zt68zsl/iym0PmcoKZisnlJM73nD7MIAd0j7gFGYukZJAvgcKws69 z9Efm5frs0Wf6YVvn9ewacM0fNoIjZju1YzIbZLVcKuZIzRy6hCNfq+nvr63 nVY3ra9A+fIKpZRT5j6V9dtxrfTlQ9fq5S8e17Bvbfnh3u8O9WqYV8OL8bkN /0uNmDFcz3z9jDq/3kln3XaG6h5WW9UaVlXz05rp3w9fpl4f9tCzU57VcO/9 dFVcz23acA31/mavfTdKU3/7Rqs3r47qJ2C/AQAKwz4/MwNbNXfNXL3z87ve 5/dIDbU22j77Zw7z2h6vZnmfv7O8dmCW933v6xHe90fMGFYi7RG1J234sKgK t+NPTX5KXd7orH/c9Q/VO7SuKtWrrKanttCVPa5WnzG9vDbWe7/95fN9jOEa 6dbnLTdjaLimeTVluN75/h1998f3Wp+5PmouZW2fjJET8JGHnc03Fvuz4s75 5Pvkk9+2558rYmOf/LKvc68tsovloueGcH3d3u/lt1zs48YuG/2Y0evb3edW mNeQ399kU9YmTVk6RfeOuVfHPHWMWgxooWYDvXrcqplXzdVskFWz5CnvNTd9 srkOebKZzny4kfpcWFu/1Kuk7LQ0KSVV6/ZK08TmldXhynpq09v7Oz3ZUs29 32kxsLmaD2pR7H+vpoOaes8xUt795vY+DW6qhj0bqObNNVTpb5VU4agMVTmv iureX1uNBzRSsydsmebh97S4npv3+pv2a6ozhp2ugRMG6qeVPykQCuzQTwAA hVWQNjB2OZsLKr/l8mrLi3q/oCDtffRyfkXvO9g4upWZK/Tmz2+q3WuX6tDH D1Wz/s28dsZrbwY3U4snW3jVUi2eaqHmT3mf71671Wxws0jbHW4fSr09pfJs w3PLb8sHh9+zRn0bqvattVTplEoqf0S69vLa8Tod6qjxwEZq/sSu193C2zZa 2vbhbQPNvfU1t32EAc3Usm9LXfLCJXpx2otasnaJFJ3vc0+/J99j12Lz/M7O 1y9q5Hv45zPZnA9r1qzRihUr3HUcbV5H+9rmg/DngLC21OaJiF1u7dq1uddr 9Ndnv7d69eq/LGfzSvhtvu1X2OPa9SRs2VWrVrltz762uSf89tvmPrfv2Tps XbZOW27jxo3usYwtZ+u2x4heztZrj+Hva/jXqrTX4C8X/dz8a5NG/01WrfpT S5b/pv/N+p8uev4i7du1utLbpyu1Q5pSO3nVOTU5y1571zTt1T1NTe9K032n p+m7WuWVFcn3ayqW08cNy+naC1JV+4HySu2WprTOXnX0yv3dSvBv1yl8m9Yl NfzYt3u37bzn8Q/v/hXe/Xu96hr+ebE/F+/1pz6Qqha9mqvzmC6atWx2br4P ss+AuBPa4R5bcOmwdstvK60tjW4r7dpLfptqZffzWs5vU/3lrI227/ltud+m 5rVf4Le9tkz0foHf9vr7BfY4/mPa469bt8497+j9Anu+0c/N7tvztZ9F7xfY 79rPlq9Yrjm/zdHgL5/QUQOP1l6dKiutQ6St6eB9rj/g3d4Xqfvt89er9l51 3N42UGW08nh/0rp476O375F2p1eXeO+j146XuyL8vvrteFqnnb+3th/gyu53 Di9v20qFByro2IHHavD4wVrw54Lwf1w7zPEXUoixdijjyPewdtLaTbsG49ix Y921Gl988UV3+9FHH+n777937bQtZ+38zz//rI8//livvPKKXnrpJY0ePVqf fvqp5s6d69ru8LXGV2vWrFl6//339fLLL7v673//qy+//NLNi2I52tp6u+bj xIkT9cILL+jJJ5/UsGHD9Oabb+qbb77RsmXLXFtuy/72229uOVuHrcse29Zt 15ywxwq466Judteh+Oyzz9xzsuc2atQojRkzRj/88IN7Df5+g72GTz75RK++ +qp7rXYdSnsN8+bNc6/B9n0s19t10D/84EONfnW0XnjpBXV5pouO7XqcKt1T San3pyrlwRSltPeqQ6Q6JlF1iLz2Timq2DlFjW5P0d1/L6fZNVMj+T7Ny/ep +qSBl+/PTVHNe71lO0f9bkn+vTrEPKbd3peicreUU7kbvLqtnFIeiHldxfX8 bL0Phh+/ac+m6jCmo75d9q3L99tnfAbiQ3j+aX/uq7+OQ2RrLhn2t7a2csmS JW6f7q233nJtoLWV7777rqZMmeLaVMvE1r5Zm2rLvfHGG64NtLbS2lS7bpPt /9m6LDdPnTrVtY8jRozQ888/79pWf7/AsrVld2tTbf/B9gtsPf5+wbhx49x+ ge032HL+fsF7773nlondL7BjAdZGW6a35/v222/n7j/Y/a+//nqH/QJ7rXb9 6DffeFOvjHpFQ54fohv73qgG9zRU+bvTw5+z1u78x6vLvfLaoZRzvDrPq0u9 ujHy89j2gSo7ldf74n/t7XuUu99rv//j1fXe/tittk9WrmDteIc8lrFbbz+g /H3ldfTAYzRowiDNz833Cs/fGPLn1OdIJso28j2s3bVj7ZMmTXL5ulu3bnrw wQfVtWtXPf300/r8889de2t53DKvLTdkyBB16tRJ7du310MPPeTafsvk9nNb bunSpa5tHzRokDp06ODq0Ucfde20ZWZr720fw3K2PcbFF1+sE088Ue3atdPD Dz+sd955x2V1a8Nt2R9//NEdb7B1dOzY0T22rduyu+2n2GuwfY3p06e7fRB7 TvYaunTp4tZv+w/2GmzfxrZtu/7k0KFD3Wt84IEH3GOOHDnS7cvYa7BjBbYf YccKnhg8WN26dPVe64P6v/uv0cG3H6LKd1VRhQ4VVKFTBWV0yVBGV+9+Epa9 9grdMlSle4aa31VB959eXt/Vsnyf6vL92orl9WmDNN10frrqPRBeNre6ZpTu 8+/sPf9O3nvXMSN829l7Pl3C33e3XYrpcSOPkd6+glr0a6mOn3TWt8tnubn0 FQqR7xFXXE+WzR0RDF93PGR9sH75uZ8tusjldS0mayvtWLbl8Z49e7r22drL fv36uYxvWdvaNsvRlsctg/fo0cO1gZ07d9bjjz/ujntbm2rtqWV4O+5+5ZVX urb59ttvd22rtf+2X2D96tbeW5tqx9+feeYZtx573O7du+fuF1iut0xu+wXW h2CP4+8XPPLII26/YPbs2e44gbXRdl1o2wfo3bu3W8ZeQ58+fdwxC3sN0fsF doz+scceU6fOnXTPg/fo/NvP1/431FfGXRVVoaP3GX+f99l+g1fneXWCV8fa rff9c7zP4Wu8uj/8mZzRNcNVabepVOHK7X+5dryid1sx/LXtl3SusL0tz+/3 Y5exW2+/rlL7SmrzRFs9PukJLVizYHu2D27vwmeOPZR15HvYNmB91gsXLnTZ 3TKzHV+3W2uzrU/b2lK/j9yWs23mgw8+cMvZsXw7ru4ff/fHA1h2/+KLL9z2 ZMvZsf1p06a53GzZ3pZbtGiRy9nnnXee2rZtq9tuu80dz7f9Cn+fwNp76+ef MWOGW4f1MVjZuq19t355ew1+P78d97fl7DE//PBD9xrsWIHtO/hj7u1x/ddq z89/Db/++mtuH4K9hl9++UUTxo/Xxx99qP+9/44Gvfq4/jnoIjV8tLFq9aqj un3raX9XdVWvX/KVvfY6A+pr/wEH6NjOdfXwedX0U510Zbt8n6r1lcprQtOK uvey6mr1aH1v2QNVt/8Bquf9Tr1+9Ur5+XvvW7/9t1ff/VXPez2u+vlVPI9d p08d1ehZS0c/20aPTOil71b9GJ77IRji2juIK9vzfbhCwYANCgtXMMj2XAL8 c9GtXbW20sa1WY62ts3aSjtObW2q9cfbMta+WTa35SzPW/a3tnK819ZZu21t quV7azstX5999tm6/vrr3fF/v630++WtHbf9B8vk+e0XWJvr7xdYm2qPY8/L lrPHt+Pylv2trbc22p6n5X0bU+e393bf+v6tLyJ2v2Dc2HH6YMwHeu3d19Rh ZEcd1+N41Xtkf9XqXUv1enqf813rq/7dB6j+zV7dUE/1b/Larjvrqm7n2qrT q5bXJtVxbVn9vqXdJlGFrf0j7Xj9/uHaoS3fVRue2957971toG6/OqrTu7bq 9qyrM587U8OmD9fidYt3yPfB3CH6tNUo28j3sH0D6/+2Ntjed2szLYPbrX0d fZ6d3frnz0UvF3uOuz8O3tpia7etrP/c+sb98++tfbZ9jl69erm++8MPP9xd 68T2D/y23j/Pzn7HftfWYY9pZev2z8fzn5t/Xr2/XOxr8M+/j36t9lj+ctGv wfYzbP9l1So7R3+5flv2m2YumKXXpr2uvuP76dEJj6mnl816T+it3hN7qlfS lb32XurxVR/1HN9DT//3AX12+z+0slFdBcqnufnzt+69lxYe01Tvd7pEAz7s 6pbt9VVvr3rtsJ7SeO5+9Z7YO1K9dvj+9ir6x+85oace/fIxPTX1GX22+Ev9 sWml6+9UpM+TfgHEi9y5zuw8bFd+/70/Pj//30PR8N8D/5x0y+fWBlrbZu2g ZXlrK+1n/vwysctZG2i52to8/xj4c889p4suukhHHXWUrrrqKtdXbv3+/nn6 u7NfEG5TV+W249H7Bf5zs2MQdnzBnre/Prtv34udl8deg1vOa6MXLV2k8T9N 0LBJw9XrS69tGv+Yeo/vqd6fe5/zY3urz0d93NzqfT6yr3up5xc91GOi145/ 1cN9/vcuxs98qiTa8HAVrA3f8ec9XfXw2mavvuyhkdNHasrSqVq7dU1uls89 /T78Hx35HmUa+T75xM7fGD0XrbXD/ty2/n1/zpvY+Wqjl/Pb5ejlYufTjV2f tel2jP+GG25QgwYNVL9+fdePb+Pk7Zi/teN5PW7sHL55Pb/8HtN/zfmtL6/l 7PtZOVnalp2lLdu2aPWW1Vq+ydvn2OTtm2z6Qys2rtCKTeH6I8kq9zWvXqJV 33+tDb0fUtbBrRRMT1cwJUU5+1ZT5mkna+2zA7X81x+0fLP393Ll7a95f0P7 +5Xua/gjnyrmv5u3zfyx8Q+t2uLtT2/bqGxvGwtnezsHP3wePhkf8SB83XFv 283cpsAmL8t5OS/oZbiQzcXi5a9QTmCHTdkf21qS1wFOVHm15YVtK/Nq7y1H 2/g2G7ffunVr1atXT6eccooGDBjgxv/bcfTodeW3/7Cz/YK8lot+LbH7Gf78 +bGPm/savLI2elPmJq3evMprX6xt/sPd/uG1NSs2erVhxfbaGP78X25lbVKS tuHxX/m14QVty/P4HW+7+XPLn9qUvUk5wazwMffY8fjke5Rx5Pvktat9rIJc wzGv/Yvor3f2mDYW/tlnn9Wpp56qKlWqaO+999Yhhxzizpm3OX7suP/OHie/ Kshzz+s57uxv4WY9s58FlXs+KeeURvH24zV/vkKDBihw+CEKZlRw+T5YfV+F zjxdoedHKvTnyqhf4Ny1Hbixf+FxzpyvjLhiA1a3ejl+6XIFf/pZgR9/VPD7 HxTy7gd/+93L+ZvlH64K/1cf2iHjY/cUpv0rSJsZzfrM7Rz+Sy65RDVr1nTt c6NGjXTrrbe6+eysDz6vx8nv8Xb2nHb3tea1jG1m4aMEuRcx0/Y7bGsorNwL 3sd8m20JZR/5PvkUpI0vSF4u6GPEft+OtdtYQZufx/YXmjZtqrS0NKWnp6tW rVr65z//6ebbsT58f/zfrp5XQZ5rQY5N7OpYR7ii5lhR1P5qMpf1081foOCg gQocdogCFaz/vpyC+3r5/vQzpOeeU2jVqsjykX7q0Pa54pOlFLn190PD29L2 +ceDke0rd2GgjAvZ+VGLlyg4arSC97dX8NbbFLrpZoXuvU+hZ4crNOdnKSeY O/e0f1WpUO7/YXcU9Fj7rnJxNH8uHpsTz+awtXPmKlWq5NpmO/7+t7/9zc1X a+feW396QY8h5LVMQV5bfl/nvXzU9CWR28hfQHlnNO3wwVzabQNVehUrt//G 39nLY6m8fg8oS8j3yacw+X5PHyOv79t5djbfnc21a/sL1apVU7ly5VxVrFhR Bx98sJv73ua4t32N2HF7u3qsXe8H7HpMQB6/GP6ZXZ/c5bDt86y4liCUXDk1 umx/PWhzJVi+H+jl+0MPViA9nO9Dfr4fuT3fuyu8h3IiGT85/262RQfk749G 8r1/bTx/ISAOhLZsVWjmLJftA81bKVirtkLVqyvUpKlC/3edQp+PVyg7J3I+ fuTzQiLf76GdHc/e3X5yy+x2zTm7dt3555/vjrfbsffU1FR3a/uI//nPf9xc dza/jo2Nj32cgh532FN5tvn+h2vusSQpFP3N6A/WmA/l0m4TqN2totmHiBZe Z+RczbwWAOIA+R4lybY3mw/H5s+999571axZM1WoUEEpKSmubB+idu3a7np5 No++jRO0fY6yIRT1L/+2IZnktq+u/36eQgP7K3jIwbnn34fz/eku3yu3/z7k sr2SdB45e8V57G0C8WnLFmnadIVuvU3BOnVz/9sP1qih0CX/UmjsOJfvg8FQ bv9qbrcY/wWUmrxyuJ1Xb3PZ27XtrO/ejrf7x96t9vU+z8844ww3797vv//u 5reLXV+pimqQd2ybd91SJ3tbjmhsDYh/5HuUJNt/+O6779S/f3/Xd7/ffvu5 vgE/39s+hI0HPPTQQ10fvh0HsOMB0f0EKGu8djBzqzR/rjSgn0KRfB+wfXyX 70/z8v1Il+8VCuf73AvJAohvlu+nz5Buv12hutvzfahGTelf7SSX77Ndvg9F /acf8j8L2I8uFbH965bVbVydzW9rffd16tRxx9uj831GRoY7n8768O16ejb3 vZ1DF70+AEDpI9+jJNm8vF9++aXuu+8+HXvssTrooINUtWpV14dv5/jZPD7W f3/YYYfp2muvdX34dm2cstOHj78i3wNJKyrfq15dhSrE5Ptxn7p874/PF/m+ TIjN9zZn3rRp0/TYY4+5OW8bN26s6tWruz58v2228fotW7Z08+4NGzbMHQ+w a97ltT4AQOkh36MkWV+8bW99+vRx+d3m0rNxgNaPb+fh277DmWee6bZHm0f/ vffec/ne34dAWUS+B5JWAfK9yPdlTuzYfMv3M2fOdPPi3HLLLS7DH3fcca4f 347BW7/9aaedpssvv9wdnx81apQWLlzo2mY3N2jk2nfkewAofeR7lCS7pr2d U2/Xv7N+fOufv/POO914/CZNmujqq6/WiBEjNHbsWE2dOlWLFi1yc+wxPr8s I98DSYt8H3fyOvfecvrKlSvd9e0nTpzo9gNtDn0bZ9egQQNddNFFbu58G5f/ 9ddfuzn0/Tn2CjNHPwCg+JHvUZKs7bfz9Szn+/PoP/744zrxxBPdmHzbn7Bc v2bNGnc+YLY7bzPIfkOZRr4Hkhb5Pu7kle+tnbW22XK+tc1Lly7VCy+8oLPO OkutWrVy17KdMGGCOwaQV9tMvgeAsoN8j9Jkc/Ban8DJJ5/sxul37dpVs2fP dvsXPvYbyjryPZC0yPdxJ7ZNzat9tWPsr776qs455xy1bt1ad9xxh7755hvX Z7+z9dFOA0DpI9+jNMXmezvnftasWbn5nn2FeEC+B5IW+T4hWb63c+z9fH+7 9/7auPz169eX9lMDAOwC+R6laVf5HvGAfA8kLfJ9Qsor30+ePJl8DwBxgHyP 0kS+TwTkeyBpke8T0urVq8n3ABCnyPcoTeT7REC+B5IW+T4hke8BIH6R71Ga yPeJgHwPJC3yfUIi3wNA/CLfozSR7xMB+R5IWuT7hES+B4D4Rb5HaSLfJwLy PZC0yPcJiXwPAPGLfI/SRL5PBOR7IGmR7xMS+R4A4hf5HqWJfJ8I/p+984CP qtq6eAqh9yZFilKEWLBh99lAfZ/loQgq4rOhz4Yd6U0FpCM+QRFURJpYnhRF QJqIdMFOb6EqNYSEzD13fWedmTMZhklISJmZsP96fhMyd26ZzNy919nliL4X hNMW0feFEtH3giAI0YvoeyGcRKK+d13XDCG7iL4XhNMW0feFEtH3giAI0Yvo eyGchFPfWx0vWj63iL4XhNMW0feFEtH3giAI0YvoeyGcRIK+F3KL6HtBOG0R fV8oEX0vCIIQvYi+F8JJOPR9YNxeNH5eIPpeEE5bRN8XSkTfC4IgRC+i74Vw UtD63up5fu49Hg+OHTtmBn/m74K1vmj/7CD6XhBOW0TfF0pE3wuCIEQvou+F cFLQ+p6f9yNHjmDTpk1YuHAhvvrqK0yZMgUzZszAypUrsWfPHqP1ra4XfR8a 97ifTqbvm/n1vSv6XhAKF6LvCyWi7wVBEKIX0fdCOClofc9Y/bZt2zBp0iS0 a9cO11xzDS644AI0b94c3bp1M9+Fw4cPw3GcfDl+NOIGDOuRK/OozE9m+PS9 O2gglNb3znH6vrnW92Pgan2vzKtE3wtCoUH0faFE9L0gCEL0IvpeCCcFre8Z u+f+X3vtNTRt2hTly5dHkSJFcMYZZ+DOO+80/syOHTvMPIDgxa/iTW2DMvrc AR+Z55Cun3F8+n6d0ffO+ecH6PuKWt/fAoz5UOv73eZ1HK518AVBiG5E3xdK Clrf5yRXTvrnCIIgZI3oeyGcFLS+Z/49P9/8vNeqVQvFihVDbGwsSpYsiYsu ugi9evXCqlWrkJycnC/Hjz688XZqe7++18Mxw6N/9ph/u6mpcDdsgDtkiNb3 F2p9X8z4+NT3qvk/4X4wVuv7PWZWwBv7d8WrF4TCgOj7Qkk49L0drJE7dOgQ du3aZfLtOPbu3Wvm5239nGh8QRCEzBF9L4STgtT3/KyvW7cOgwYNwtVXX43S pUsjLi7O6Hs+Vq9eHW3btjU1+XtNrfjp7jO4JlJvhmtj7vzZgaMcpDseeJx0 KP2otI+v1q+HGjIU6vyL4SYUhxsTC7dCJbjNtL4fPRbYvVu/3MkYSnL0BSHq EX1fKAlHfr7tfctj/Prrr/j6668xYcIETJ48GXPnzsWGDRuMxhfbLAiCkDWi 74VwUlD6nv5AWloaVqxYgY4dOxp/hbF75uYnJCQgPj7e5Oo3a9YMI0aMwMaN G02cwL729MT1ZeJ7jKb3OuSM3zvwpKciPfkgnP374O4/4K2tX/0TnD794CRe pPV9Sa3v46DKV4S6rjnct98DNm6Cdtz09vugDujXpSRD7wji3wtCFCP6vlAS rvg9a+Nof8eNG4dnn30Wd999N1q1aoUuXbpg+vTppn5O+uMIgiBkjeh7IZwU lL6nP8Bcv88++wz33nsvatasaWruL7nkEtNj75xzzkHlypXRsGFD48fMnz9f +gj5eui5Jmbv9c1Nnr7HA2en9rHmzoEaPRru0KFwBw2C6tYVzr9awKlRC6pI UajYODglS0E1bAx13wNw3+gLd9gwqOFvwRk/Dmr5Mrjah4T4aoIQvYi+L5SE K37P486cOdMcjz7BmWeeiTp16uDaa681PXB5DuyBa9ezPX3n3wVBEDJH9L0Q TgpK3zN2/8svv6Bv376mr16ZMmXM8V566SX069fP5OXXrVsXpUqVwvXXX4+P PvoISUlJeXoO0YrJmdQulOPT9+4x7av/+hvc/gPhNrsZ6ux6UNr/UtoPUxUr QhUrBicuFk5sDJz4OKgSJaCqVIaqXQfuWWfD0b6i59774Hw8Du6Wrdr394T7 EgVBOFVE3xdK8kvfZ6XHOQ+/du1aDBkyxOh52umiRYuaXDvOv/Ncxo4da/yG 4Dp8QRAEIQPR90I4KQh9T9vPmj2ud9++fXsTo69QoYLxFUaPHo1vv/0Wb7zx Bi6++GIUL17cnAf9C9b6ne4Y79voengr8elLOVqPr18PDP8v1DXXwtHvmRMb C6WHqzU9B3+mxlfm9zFmmG2KFIGqXh2qVSu4Uz4Hdu+R+L0gRDOi7wsl+anv rR4P1OU2N3/ZsmV4+eWXTU4d++LE6M8Se+Swlo62eeDAgfjzzz/1Ryr9hP0J giAIXkTfC+GkIPQ9Y/ebNm3CmDFjcNttt5nc/Hr16uGpp54yPXv43KRJk8xz FStWNN+Dp59+Gt99953JAzxZrR+/Q5w/YLyfPYFWr16t5e96HDhwwDyXE+xc xNatW7FmzRozeH7cl41X2O0KCuOSu/CvXW967f29D2rOXDjPPgunQQM4JUue oO9VXIbmp7/vxMdDlSsP9+qr4b7xBtwVK7U2OMo3sMCuRRCEPEb0faEkv/Pz g20Y7Rv9zi+//NJfQ8d1bSpVqmR643DunTl2TzzxhMnf37dvn7HNedFHP6dr 8wmCIEQ6ou+FcFIQ+p7amLF75uI3atTI+AuXXXYZ3nzzTfzxxx9ITU01fku7 du3MmnmM7d9444149913sXnzZvN8ZtDWM45AbT979mwMHz7c5PuzN9Bvv/1m 5hay6w/YdYGo7enj9O/fHwMGDDA9A5izyPOw8wUFHbPw+uJef9z15eh7tm6H 58OPoO64E+qM6lrPxx8Xrzfann6+L7avtH+m6tWH+/jjcGfMgMt++qLtBSG6 EX1fKClofZ+iP0e///67yZ1jTxzaadpj2uoLLrjA9Mthjj59hbfeesvModNP sD33c6rxT2WNvcy2Fc0vCEKkIfpeCCd5qe8zs9G7tY789NNP0bJlS+MzUL/f csst+OCDD8zxyc8//4xXX33V6H/GCRo3bozu3btj1apVSE5O9u8/1DGp4emX vP322/jXv/6Fq666Co9rDTtDa1iu4ZvdXr/cFzX80qVL0alTJ+Pj3HDDDeY9 WbRokTmPYH1fUH7Fcfqe/+nTUAcPQy1YAPeFF+DWPweqiNevVzEZeflmjbyY OO8oWw7ulVfCfbMf3F9/gUtdIAhCdCP6vlBS0P31uN8F2p7YeXja6SuuuMLM u993333mHFiPf/bZZ5v8febx075afW81PslMt4fS9DmdEwg8jv2dIAhCpCH6 Xggn+aHvA208Y+us1bMxgSpVqqBJkyZGPy9evNjvq3DNnfHjx5u1eKpVq2b6 9T744IPmu8D5gcw0uo25cz2f9957z6yvxzgDYw6vv/76cfMDJ4Pnylz8999/ H7feeiuqVq1q4hY9e/bEypUrT4jfFyh+fZ9Rk++mHYO7eQvURx9C3X47VOXK Jlbv1fS+ERvnHQnFoOo3gHqiHdxpU+Hu2Q3XI331BCHqEX1fKClIfU/7yrw1 9rXlHDntL+vvn3zySXz88ccml44anzn7tM/M36dt5po4ofroZ1e7n2rMXxAE IdIRfS+Ek7zOzw/W96yfZ27+Cy+8YGICzPdr0aIFJkyYYHS7XeOex2PdPNff Of/8840fwXMaPHiwmR9gjD6rY+7Zs8fk1HN+gHEHvp5r9rKun8fJznkzP5Hn +txzz5lzLVGihJkneOedd4zuD5xjKFAfI8AF97nnvhi+9qtSjkItWQKnYweo xMZw4+P92h4xPm0fFwdVtjzUdddDvf0W3LW/w0315lWKpyQIUY7o+0JJQep7 2l/OYTNn7qKLLjJr4nEdG+bhswfN8uXL0bt3b2ObOe993XXXmVo41q1xXjyz 3Dr7e/q57N1Hf2D//v2mZo/2NrB+P7sE74vvB8/fI/PVgiBEEKLvhXCSn/n5 /Gxzfp+5+ffcc4+Z92dfPebOs3deSkB+uI0f2HOx27LfPuP8J4vB08bPnz/f 7LtGjRqmT9+VV15p5gdYw38y/4HPcx+ff/65mSPgPkqXLo3mzZubuQgbpwh1 nfmOzwXPyNHP0PmKPvsWfX2jRsK9/jq4xYqbde8zYvexRvOrGjXhtnkA7vSp cPf/zWZK/v0JghDFiL4vlBSkvuexWM/28MMPmzl46vu77rrLzI/v3LkT27Zt w4gRI0ztG/V9YmIiXnnlFfz444+mH21W+t725eccPNfIZa0bbfq6deuMRs9J z1qbE8g5e8YDOB/PejraeO4rp/10BUEQ8gvR90I4ya/+etam056zjx7r+Jg3 z3l/5uqzXt6ur0P4PWA/Xq6Vx975rL9nLv/tt9+OyZMnGx8jKxjfZ78f+iDM 0Wf8njF4+iDM0c+qRx/hudCHGTlypDnH6tWr47zzzkOHDh388wuZ1Rbmu9b3 +eIZifn+X3t1/sEDUAvmwX3+ObjnNIIqWcrXW8+r7d1yZeFecw3c/v2hflkD 51gqlOtAoveCUAgQfV8oyU99H5xLz7Vohw0bZmwfe+jRF+jYsaOxfayxZ7x9 2rRppmaO9ffU+LTNnPumbQ7VlyYwds85AOpx2tdnn33W5P0zL459d2zdW3Zs Ke0059qnT59uavweeeQR47Pw36zxs/kAgiAI4Ub0vRBO8kPf077SztInmDVr lompN2jQALVr10bbtm0xdepU8/kOznfnMTmnz7w/1uozz565guyHz3XvAten s6+x8HvE4zEvgPMDjP0zBs/jffPNNyaPLyuo31esWGHyE1lzT31Pv+rDDz/E li1b/Oeam95Ap8pxHnhgEN/3oI6lQ23aDPeDD+DeeSdU1TN8MXzt4xcrBrdu XbiPPgJ3xnQ4e/fA4yp4uNKeqyC+vSBEOaLvCyUFoe9tPJy98l588UUzJ855 da5Vy1p8znlznp4anPq8T58+pmaNffboL9A2c50am6Oflb7nXAHnDC6++GIz R3D//febfDnG9bPbA5d2mnUErBW49NJLjU/BeQaeK/P/RNsLghApRLa+D7L9 2bh1yt01usiv+D3j6cyZs73qqLXpO9CHYE4f9x88Z0/9Tp9mypQpxr9gHIHr 7f7nP/8xup35d8FzAoH2nPn+PPcePXqY+D/X7GV+/ejRo43tz4q9e/eaeQfm J9JnsHMDX3/99XHfxYLum2+OGXDc45vs+XL02VP4wAG4C+bDffEFqAYNoRIS vLn5ZcvCufwyOH1eh/p1DdTRFDBy75j9+Rx9QShknFafaur7FcuBZ62+L+rV 91qnua2svvecqO8h+j7bHOcGFcz7VRD5+bSn3B/nwBmbp+2jH8r4OuvdaFNp p2mbGadnvj7779E2169fH88//7zJkad+zyoGzzkC1vFTl3P+vKy2S8z1HzRo kJkf4PPZgXb6q6++MufKOgKux8N+PlzDlnF9QRCESCHS9b3rZngByvVpiYxV uoxGcH0dv4J7fAuRT37pe/oM/FxzrR1qbebzca05xuYZow/sqxM4z895Ac7z s+6+YcOGJobP17E3PuPo1g8IpbP5HHX8mDFjjK5nHII59owZcM4/s9o8m5/I Wn3mDTB2z7wBzhPkpP9+OPDqe/bST4O7dQvccWOh/sUYflWj8VW9elDtHoOa 9hXUnt1Q+n134P0e2++2IBQevALWWqnTghR9r16+EnjmOa3vaxp971p937o1 3FlztL53ZC4vD/D7PAXwXuZ3/N72lGWOfP/+/Y3eZg0d+9ZQd//xxx9+O03b yW05N2/j/OyRQzs7atQoY3dtD9xQa9NzP/Q12Iv/jjvuMMehfX/iiScwe/bs TGv4A/fHfdBO89x4rjw+fQuu1cfzYh2BIAhCpBAN+t71xQk9+tHD2J9f2/Pe z0xfx6vxfduKxo8e8is/n/1vGIdnXz3qZcYFHnroIVPDx3y8rNbHpQ3nPMC1 115r5vnZy4d99anRbU++UK+n/aeNnzNnjvEbmAPIPkGMw7Ou3+YMBMPYBK+Z fgJ9Dr7mzjvvNL5IUlJStmML4cCW5JvYiX5v3KVL4HZ6FU7jRnDKlIG65mq4 Q4fA/fN3E7vn1Tuub05A9L1QiLB5LjB5KadR7cnRVGDFT8CzL2h9f6Zf3yuj 7+8F5sz1Gu/T5O3IewLsk6lrcgpE4+eXvg+0m6xbmzlzplnjnjVtdt0Z2u7A njdW41vbzN76jJ1T53fu3NnYZjsPHup94WtpmxcsWGDmB2jTGX+nnZ04caLp vZPV/Dvh/AGPQzvNej/m2HF+gT13uD5uVmvsCIIgFDSRrO9dX2Mvc2832t6r 75WN6xs75/j0veNP+rPzAeJORD75oe+pl9nr7u233zZ+gI2Hcx35wHh4qPVy CT/7zMHjGruc56dOZw0//ZBgPyB4PT7WAbKnH+sEL7nkEvN6+kdjx441/kqw VudreD7z5s3Do48+auYhqPHZA2ju3LlR0ZOX300zw8bz3LwF7qj34NxwAxx9 P3EfuB/46ku4+/6C0n8Xxu4dI4ECm/YJQvTjj63q70G65xiS05Kx/+h+7Du6 r3CP/Ttx8MfvkfrU01DVz4RK8ObnO1Uq49g9d+HQN1Ox70gEnGdUjr+xL+Vv HDh6AEfTj8Kj0n36Pv/7uOW3vud8OOevWbvOejjqbepu5tyxx33wcQLXoW3T po2x65wLZ00b8/uZO29z9EMdk7aZa92yjx/9Dc4l0D+gPg/MzQt+nX1kfx3G +mmneVz6y+yvx77/fK8i3U4LgnB6EbH63h8Hcbw6Xit25vQ6Pq3vve26vvls 5Y+b2J9FNUQH+bE+HjU47T1tb506dcywa9GzRs6uU5uZf8Rj2zp6nhPn6Zkz yBxC9t3Pqhc+98k+uowJMDZAfU/fiGvaU6/TRwiEPoft6cfewawjYO4fe/wz PzGSY/fEm42sMnJoWIev7yeqRy+ox5+E0n9b95efofR18F7jz8v3DfmmCoUF 1zfvnJqeik0HNmPan9Px9uK3MXjRYAz6YRAGLdbjB/48pBAMfR2L9fhxKIYt GIRPPnoVP91zAw5XrghPkQQTv0+pUAp/NmuCye88rbcdgoE/DjGPdh+Dg0b4 rymCBt/bxQMx8IeBGPT9QIxZNho/bF2Mv1L2wuOkF8i9M7/r7+2astwva+mp 12+66SbjDzBOH1wLR2yPmy5duvjr7thv74033jB5/oyhZ1aDb9fLZW4A16Dl a5kzwP46zK/j9VqC98G5CM4N2Bo65vXxPWHMgOfD85LeeoIgRBIRre8Vtb3H DJOVr7W7o8U9a3hd2jjHk6EZlDd2wnW3VAHVpwm5J6/j9/w8sBaP9fLUy7TD rIF/9dVXTV19YJ1dZp8RW6vHuAJr9ajvOdf/2GOPmV4+oeIKgfB55gHSb6H/ wLl+2w84uAePrfdnnyDmGtLHadmyJT799FOzbXb7+oYLbwSe2j5dD/09TUuF 2rIVauYsqMlToPS1qT2Mq9icTOWbh/P9W/S9UEiwn+lDxw5hcdISdJ3VHTeN uglXvnMlLh95OS5/T493ryhc4/0rcd3IK/Fwtwsx+fqa2FOuONLj44GYWOwv k4BZTSviqZcTcfmoK822l7/H90K/Tr/mCo53vSPs1xFxg5+Vy3DZiMtw+X8v R8uxLfG+1vgb9m1Emod54NGv7zkPzhq0m2++GaVKlTJ2knF5xufpfwb2ywvs gcue+oy502dgjxvWwbMGzvbAzSx+Tzi/zjmFp556yhyPOf6BNfyB2wf6CZxr 4LWz7x9tOvv3U+e/++675nWRPg8vCMLpR6Tre9bXe4cyut3xpMM5uB/uzm1w dyfBOXxA/84x+oHX4oi+jyryOn5v8+Nff/11NGnSxPSwZ388HoM5+4F2OFTt vX1kXSDr6Jknz9gC90ONbvvkZvY6wvg+19NjvJ9xf/oRV1xxBQYMGGDq9ALz B+iPsEf+Aw88YL5/1PjU+pwfyMxXiTjcDH2vnHSow4e0xt8CtW4dFNcmTjnq S8UPyLEJ+E8QCgP+muLUA5i9cQ7+PfkhVOtdHWW6lkHJbiVRsqcePXIxegaM 3OwnL0fvUqjUsxSueqoE3rksAUml43HM6Ps47C0Vh0/PK4JbHi6Okr1KmW1L 6m1Ldudr+VjK+2hGBFxLJA5+brqUxPkDz0ef7/ritz2/mzz9aNb3Njd/7dq1 Jh7OOrbixYubY9h5eGv7QvXAZX6e7WHP9W1Kly5tNPrkyZP9vXWCjxcY/2ec n/VzXCeP8wM8PuP/gWvgBg6eK8+Ha9zbfj6c8+f6ejwPvk/WpguCIEQKkavv fb3yqes5j8v4H+P1WturJYuhPvwA6uOPoJb9CJV8yBfHl/h9tJGX+p421vbr YY0cP8/U1vQDqKE5d59ZPDzYpvP4nA946623jDZnH33W8Ns8QLvebuDrLTyG zQNs3bq1qQ/gnD/9I9YV0lcgtt8+18+jf8JzZUyA9YHMBYwan8Gn202WPh89 +r1JPap1fQoU4/mO48ux8c3RuUr65wuFDNvXXGl9vx/fbvgW90+8D+V6lEV8 xzjEdI5BTJdTHF316K5HrxjE9opFTA/9czff7091n3k19HmV1OdxyRMxGN40 BkllYpEWH2fi93tKxmJi4xhc/6DvfCPlnKNpdNKjYwzq9a+PnrN74pfdP2t9 n4Jo1vdWLzOOzvlz9rehzua6dxMmTDB9amhfSbC+t7aZdXJDhw7F1VdfjXLl yhnb3K9fP7PWXSiNHhj/Z50+fVzOqXN+gIO5efQb6D8E19HbtXZtTiDX5uOc wJtvvumvCcis7l8QBCFcRKy+h7dHnu3bRW3gHkuDm7QN7sdjoR55BOrxdnAn jIPas1NrCE/GfIDrW2dXiHhyqu9D9by3BK5536xZM1P7zho9xgTY9zZYk2e1 XztX8Pnnn/vr6Nn/hzX97LGTVd87k6N76JD5XrFXL/vl0Se4/fbbTV2+7QvM bZYsWWJqCbkmL2MC9HHYJ4C5i9GGWSvP3/syQ++Y1cJcWz9jK/WtfypfVCH/ yX/f267nQn2/D7M2zEQbre/Ld9f6vlMu9T11cW+t6/vEIfYNPV6L82r8cGpl ez2B+v6yWGzX+v6Y0fdx2Kv1/STq+7YxiBVtf8r6PrZjLOpT38/pgZ93r4l6 fc95bdr9cePGmZw42kZqfPaoYeze6uXM4PyAjeEzns46emp0rlnDHH3W4AWv fxs8d79s2TJ06tTJXFfFihVN3T9z7W1+XaAvQDvN8+I6t6z14/nyPaEtp53O bC0eQRCEcBLJ+t6/krDrXRNGHT4Id+UKuD26w738crhXXQW3dy+oX1ZDpST7 Y4Kum7FOnhDZ5EbfB8fPaYdpt7mWHfUyYwKcb2cfffbrOZntDc4DZJ49vxv0 a7geDmv1brnlFtMLP6t166wPwf547JPHfnmM/1966aUYOHCgyUvkNlzDj/n+ 9913n4nxsw6A9X30Uei/RBuh1bpV8Rn99DI8U9H3Qt4QmEvLeTwO+unBfn5e HIf3Bu7bHsd7DOUfh9IOYNG2BXh52gu4dOjFaDSoERoOaoiGg7MxArY7Z/A5 aKD/Xbd/XVTuXRnFO5ZA0VdLoHyPiqj1Zi3UH1T/hNcU9GgwrCEuGNwAd3Wo g4//UQG7yifgWJEiWt/HY1/pBEy/sCzaPn0mGg7V2w8JuMbAEaZzj4oxsAEa DmiIm0Y1w1s/vIU///4TqZ7UAuldkht9n9V3jfqbNp41dMyRZ+0be+TRNjJv LTt2mraZa86zlo3z59T4t956q6nnZ+4cbXNm+p7fWbu+Dv0D2ubzzz/fzLOv WLHihNcy55+5/8zF4zwC/WSup0M7zRhA4HmJvhcEIVKIbH2fEQNkPz13yya4 H3wA9/Y74Far5h0tWsAd9zHU9q0mN9/199yXtUqigdzG7wP1OOfSaYe5rp3V y+yjw7XnAu1wZgTvl367zctjDT/9ANb0d+/e3cwjcF27zOw5/X/WA9haAZuj /8ILL2Dp0qXGh6CPMWjQIFOjz3XxmHNg+wRk1aNfEITjsX47v5PUJRz8/vE+ klfrVvEY/F5Tn/B+wmPwkTW9jpNRF3bMk4Ydh7Zj/sa5GLdqLD5YORqjV75v xvurThyjV+nnV43BmJUfmDF6xQf6NR/io5/G4v3lo/HGjD5o0bMFat9WC1Wb VcUNL1yPzpM6YcSid/DRqg/xwaoPfPsYHXL/+TrW6HNdPgpfTuqF3+5vhiNV KyA9IQEqJhZHK5TFxuaXYcZ7Hcz1jf7pQ/2oh762MWbo816pf78yDOcd4YPv yegV+jOxQv975ShM+GUSlu1YgX0p++BxPAUSv8itvs+szx33O23aNLOuHW0i bSP9T9a3Z8fvtHNsNlePtW2MqVOjc80b+g92Ddzg87F2nd9b5uFxPp1+An3f hx56yNhrfr/tPYPbbtq0ycw9XH755eZceTxrp2XNe0EQIpXI1/e+cfQI3BVL 4b76KlTiuXBLloRbogS0KAS6d4P700q46WleH8ussq0gscHI51Tq70P5DtTD 7KvH+njGAtgDh7EB/psxgezY4VBzB/QDWLvPuXv6ENTh7KvD2nrO62dVz0+9 EbiWD/Pv2QuAPgTj84wVsHaAzzE/kT2AmXPI52QtXUHIPtTd/D6y3uWLL74w dTX035krc6prcQTD7yTnDPidphbhMXhv4H3n0OFDWnd555eV8iAtPRX7tRbb cTgJSYe3Y/vhbWZsSw49tidv19sl6W30OMTX7MCO5J1Yt3s9ps6bhv88/yTq JdZDzfo1cdcDd+OjKWPx6+Zf9f53ICk5ybw+s33n6ziShG1/b8LuRd8i+cnH 4NH3Xaco9X0MnMqVkHLXndg7bYq5pu3JO7zjcODgNYfp3CN48D3Zfsj7udl2 eCu2H9mBA6kHcSz9GJTjrUHMbw8nP/Q9v6e25wzj7bSnzLWjjVy1alWOvqu0 k7SltKnsoU/tzTkDfjdZYx+c3xc4OL/O2nnmELCWnuvjsH5u/Pjx5j5i6//p N6xZs8bk8rP3Le00jzd16lR/j39BEIRIJLL1ve++zPnqnUlwP50E1bIlVJWq UFxjl3mA+r6sBRfcL7+Au2e3qcN3fCtyi76PfPJK39Pvpj/P+njWyXPwszxm zBhT756ddeZC5fEyNsd4u62jpx/BeDvn87lufWZxdrsf1gWwXx77APG19Gno 2/AauQ4QfQX6JYw9UOsz55DHDN6XIAiZfxd4v2D/6+HDhxsfn6Nz584mTkgd kBffIWoTxgw//PBDo3VoM1kzzDpcW69jOkuwlkw5cLTOT3fSvUMd0yM9+0O/ JjU9FZu2bMIn4z5Bq7tbo3rVmqhcuYq+V16PwYOG4NdffsGRlCPw5GS/+TGO HIZnxXKoZ9tD1TgTqmhRo+9dfa7qntbwzJqt9dIx3/sgI7t//4zhfe9MHYiH 6wP7+plESX5+4M+MjXNem3F26mrmuzNv7Z133jFx8pz0lLX7Yl0858ip0W+8 8UaTd8/YenCPvsCf6fdu2bLFP89Af4F1dOzRR93Pfdv3gHN4jO3TTvN9eOWV V8z7ENjjXxAEIdKIZH1vYF897cOoHxfD0fdVxu4d7T944uLg6KGKF4d7QROo Tl2gliyFczSFq3CbCL7cdSOfvOqvx9x8ri/PPHquec+YAO2+tcPZIVStHn0q +gH06dlnjz4E7Tzz/tkLnzX/WcHvETWG1fGJiYnmtezlwzx/9uZn7z6uAcxc Q+oH2wdQfAdBOJFQ3wt+xxcuXGj6YDMmSN3A2lquf0HtnRffI+p33pvo3/P+ Qk3Aep2ePXuaft6pXDMCgWu4ePvC2rVdMqsH9g67bqS3SyXnBw4fPoSFC+bj ufbt0bhRYxQvVgJFixYztcb33N0Sn0+Zgt27d8F2qgGy2n8+DR5V21x35XK4 7Z/T+r4WXH2Ork/f455WcL+dBZWeZuY9zHkGXKt3PiQM5x0Fw7vmr+vtLcw4 sTKLCnn/7Ua2vg8k8PvKnjOffvopWrRo4e9/yx76XIs2u/NwdhvOBdB/YM09 +9Ly+0gbyz579Gmt3c/s/WVu3ty5c9Fef7/OOecc4/+yFw574vA8+b3l95o5 gOydw/y966+/3sxFsA8f5/bFRguCEKlEur53qXX26nvt5Mlw7mxhYvdObKzW 97HmUcVqjV+tOlTL1lCfToH6+y9vLSRE30cDuV0fz2pw9rLjejVcJ4f9elgj x7l55gJm1gcvu/unH0DtYGP49K/vvvtukwdMPyArGItn3iHjFTw36g72DOa+ uD4P90c9wvgA4wQ8VmBPMEEQjifUd4PzbOx3xd4bZcqU8a+ZxXvCtm3b8iSP lveR5cuXm/k5aolSpUoZPUG9zxx93rP88Xs9HDM88OjhBKzb6roIGhka39s3 Rpl49zZ97+Kc5T//eavp8R0XF4dYbfOKJiTg4osuRL++ffDbr7/o+4XH+1qE 2ncBDNbOrVwGpXWSqkl9XzRI338LdSzN2x8nUN+7wfr+FI+PbIzMXheO9ysb g/F5h0OpjPWD/HNGBWMb8lrf8zqoixlfZw4c+9nwcfDgwcZ+B+etZWe/PJcF CxaYvja0pdwn8+xZO8M8+8y0PeH3levpDRgwwJwH16dl/H/kyJHGb+D8Aet9 nn76aeMbs+aP+p/+sV3zXuy0IAiRSiToe2uDT/gdbcLhQ97YwGu94Vx8CZxS pbWujzHa3omjvtejbDmoyy6H6tMH7s+r4R5JPsG+Z+w19PGE8JAbfc/PB20s bTxz8zlvz88w69xZI8/8d+bm83nO5VMD5HTwdazl4zkxd69p06amL7/N0ad/ kNW6ezand9SoUSYPkHqA18mfmbNPn4Jr7jCXmD37bD8w8RsEIftYfU//m/k7 1Pfsv9G/f/881ffMB6bO4Zwc9T3n61hXY/W9sSx2XUifvufIXNtnaHz7D+p1 zvNxffAOHTqYXIESxUsYbR+rdXOcfqyl7xsPtn0A/9P3uL1795j5gFxp5FwM +PX9s3BqevPzg+P3rjk/ddx1GvuOXGp7v1Z3j9fryOjA49r/grW9HRGg50/U 9/Dqe9/w54MEvFf57cTkpb63a97bNWMZL2f8njlxXA+W/qbNp88JjKGzvw7n CNh3h3P7tNHU7KzXCc6FC7SrfI65PbxG5hPQd2DNwGuvvWZq7nlOrOXnnCF9 Cp4zv4+socvMTovNFgQhUgirvre2DMd3w7O2mTmKavsWqDHvQ932f3Crsu4+ 3mh6q++Nxk8oAlXtDKi7W8D95GO4SduMPbT79e7bG1fx+l1e+yl34vCT2/g9 7Tvr4JmHy/629O3tOnPU9/S7WU+3evXqkw4elyPwd7TzHFz/lsdgrSD9Es7l t2nTxsTc6e9kph9o720Nn+0NwPgi43H0RahDeO025y/QZxBfQRCyB7UDc22p 7/md4nerIPQ9bebx+p4EqMpT+C5zP8wLpma59tpr9b2ikondx2jNbEexYsVM bnPHjp203lhi7kFhu18w7rp8Bdxnn4XSOihY3+Pb2d48POX6damd03BzOdtu 9qMC9K/JX/fltru+OnVj9x1fPYDV9G6BaOTcEDgHgYB3qqBOO7f6PvBzzz51 7EVDO3fNNdcYG8jvDu00/U8bC88pfB19Veb8My+Oa9jSPrds2dL0wON9wfbe CaXzOS/I+wZzcrgGrs2low/M+Xb28+D50l6zPj/QTmd2rYIgCJFAOPW9d57a 2uGg+WueW1oq1JpVcDp3hpN4LlTJkt58fNbex/rq7zn4O/2cc8klcHr3htJ6 zsQLjpvTV3477z9evl+hcDJyq++5Dg7tMGvtudZOQkKCmWunT8K8WcbcWT/H Prl2cH4+s9Fbf34C/83t+/TpY37P2l67Xi/9k5tuusnU/rH2P6u+QDxH5vV2 69bNxOpLlPDG4niuppb2nntMzR/X7SXiKwhCzogsfZ872CuUsXuu7c2YYenS pREfH+/Pz+fP9j5n1vL4bIq5d2Snh2i+4NP3eOZZuDWqa32f4O+vZ/T9rNkM lmboe3V83D1Xltg3T+C43p4Fbmoa3IOH4O7fD6Xvu8rEbx3TkcdbD+AG6Htx ArIiL/rnB+bC066z5wz70JfU/hpr2mlbOZeVU+x++b3mvunD/uc//zH5cfxe UouzPo/1c8F5AYHnxfgA5/FtH33ODzBHf+jQoZgwYYLJNWDPHM7nc86ANXnM +8/qWgVBECKB8Or7wDn2jDl9E19n3dmunVBTpsC5pzWcqtW8cQFq+dh4r663 2l4PN6EoVK1acB5oC/Xll1CmP4pzgr43cX03/9eWEbJHbvS97a9DO9yqVSvT n54+MP1hrmND/4Fz77T1gYO59dkd3J559Hxkj3seo3jx4iZ+xvNlby3OL1DD Z2bfGbuwPfroK7FPD2Nw9ENsH0Dm/J2sV58gCKEJl74/MT8/d9iYIu8p1Bhc B4D1xOzjR+3B/CTWGXNukdfau3cvzJr1rakhCr++fwbQ+t4tSH0Pb98C0+tA 32fVtiSoBQvhzpgBd/lyKK1RvX5ARm2Avx5cNFmW5NX6ePzu2Rw2zpFzHp51 afz8cp1ZO68d+NrsYnP/bQ4f81343aet7tWrl9HutM2ZnR+1P30IXuddd91l 5sw4B8+8Aq6Jx7599CX4/bPr2wT36xV9LwhCJBJWfY/A2L3rm4fXuk2fk4e2 eulyuK90hEo8z8QEXK3d3FhfzX2cb+if3dgYo/td9tJvciHcrt3gLF8Gz7FU U7tm9b23t7Fv/gCi7yOB3Oh72m32v3nppZdMnIv+NvV9kSJFjAanzmecPSeD rwkcgc8x5lC0aFETP+NgHiB977Fjx5o6/8xi+DbGwH777BVM/4ZxONbx33HH HSYHIPj14isIQvYpLPqeUHOw/n7Tpk2mtojXxfsi74+8d7Rr187UHjEniLqG 8UTOIYY7Pz8s+t51fXn5DtShw3AWfA+ncxco7c+owYOhfvsVTvoxnx+QkSDo jy3kexf66CWv9D0/m2vXrjXzVdTf1PaspWPsnv1r7GfX9uALrlHLeo0B7/Y8 J+a88LvB/TOOz7p55u3bXvihzo+D31ubA8jrpMbnujZci4exe37XaafZ65L3 kmA7L7ZaEIRIJLz19yfm5vMu7NG+gLN3L9xPP4N7RwvvOrr0F4yWj/PF8H06 PybW+5x9nr30W7WG+uwzOOyl70mH45tHcLwK31f3J/o+EsiNvrdr3vOzy/w5 q8HtoP8d6ufcDLsf5tgzDs/YPv0W+uL0UzKDnzn6Mszz53Uy/k9twHjGN998 c0LsXuIBgpB9Cou+989zO47RERyMb44YMcLca6g/WOfDfuOc3+Tzdr2NsBFu fc/96vdB7dwFNX4C1O13QJ13LtTj7aDmfQcn+TA8vrw9uLZ/vxtQ/y+EIq/0 Pb+b7F/z3HPPGR+TOXBcD5ZrxLKWnd8b9s4/lcF16vl6ntPKlStNzJ19KXgM anT22Vu/fn2Wvft4npwnY79c9uhjjgxfz3kC1t3zkTX5M2bMMGv4ZXWtgiAI kUIk6HuzKm5g39gjR6H+WAv3nZFwb7sdqmFDk3uvmKNfqgxUfBFvXj61PX/m 786o5t1G39tVi7ug3h0FZ/0GePS93/HnCQSsQ5z/Vydkg9zG77n23LBhw4xO 5hrzgYOf6VA/52bY/bRt29b0y2Pfe35f6IOfzIdgr17W7zFOwN589Je45j1j dMHXKzl/gpB9CpO+D/yZg/F5aiHWGlFnca1NxkPNenyRcI8Iq77X/zvaruu/ v1q6FK62H+4FF0BVqgh10w1QI/8LZ8NaeNKPBfSgV/7cfPEEMicv9D2/d8xN Yx4+15Tl+nX8brLWnevO0faPGzfO5LCd6uDrGVunPmedHr+TPAZzXZgvx7y5 k9W+sYcO6/yYo8+8PObucQ6fWp81dOwbwO9+Vrn+Yf8eCoIgBBD++nufrVUZ /facg4eglq306vtnnoLTtg2ce++DanYLVN2zoYoV89fdqxIloeo1gLr5n1D3 3Q/3gQegnm2v9f37cFb9DA/7p9qcfDejzy7kXhwRnIq+t3bUrrlD/509ejgY 18pscB2dk42sXh847LEYG8hOfiyfYy8f1smyjzBj+fTR6fswBiH9eAXh1Cks +p4E5yAH63sbv2f8MiLuE5np+ypa37fy6ns3pL7Pff984uq/i9J2RH34IdSt t8LRx/UUKQLnrLpQ7R6F+vZrqOQD+vgen7ZXPp/AgVTqZU5e9M/nd8auMc94 OuvmWD9H3cy4OHtJMN7OnnvBgzV3wSN4G77Wvp7r5lCbU5ezjo6xd9bP8Rro Z2T1PbF9eul/UM8zF5C1fux/yxr88ePHG1vN6xEEQYgGwqvvlel76/j0PV0w 8++jKVCbNsNd+D3cqV9BffU51JTJUG/0gbruH1BlS8OJj4cTp0fFSlA3NYd6 s7/JyXe/+Fy/ZhrcRYuhtmz17sv01vX12A1YR1YIPznV98Fz5YE1eOEcJyO4 XjCwzjCz65PPqCBkj8Ki70PVGAfre94jg/V9+PPzlxt971avDsVetyH0vf9+ p1y/vg9cpT5nBKwcd0S/D2t+htuzF5R+fzwlS8ATGwOnQgU4N90EZ/QoODu2 wT2WZo6tHAWPX987p3Ds04Pc6nv+ve36c+xXxz511PbsLcv+M9TP+TG4bw7W wF100UX+9eyzWoOPuXebN28269+x7p55BjxP1vHz3Fnbb9e8FwRBiAbC3l/P lzvvK4vzxtiddLjMg9J+jbsjCe6uJK33N0B9rnV+y7uhKmq7re2Ep4jW99Wr QWmfzv3qK7hbt8BN2q7HDoD1+0cOQ3nS/XpeIaDHjhAR5HZ9vMKIaHxByBmF Rd+Hwup7W3/PeyTzh6jvCwx/D1yf+fTVshsbrs/DWbEc7rNa39eoAadoUTgx sVrfV9b6/h6t72d59X1A3bvNp7P/nUxjH7eFG/Ab2vetW6EmTIRq3RqqWjV4 EorA0fpeFS8Op1EjeJ5/Dp65c6D+/kufsnde1fGtlWucDtH3Icmtvqee5md3 +vTpZu26pk2bmhg8Y/ahYvN5OXgMjuuuu87k1rMPb1b63Pb4nzp1qv9cmQ/Q vHlzDBo0yOQghL3PhSAIQg4Ia/19Jnjn+BUNhLHfxoYfOgSl/TfVpg3cSpWg mH+nh6pZA+7DDwEL5sNNOWLWvUe6x/taJXn4kY7oe0EQckth1ves6Qm/vrd9 6u28I7WOx+TEHTuagvRVK+C0fxaqRk2t74sF6PuWwOxZpv+dXX/e1OCxz46d c89GFbw30u/bzt+MV/9NjyTDXfwDnJdegpOYCKdkCThxcVrfx3rXz9WfA4+2 LZ7Bg6DW/gHlOearCfT46vTy/62LVvJK33/33Xfo16+fqYVnzT0f27dvn6+D 5/rUU0+ZtXXYm5J9ekLVwQXC7xO/x1zHlt9p6nzG/mfOnGl68AuCIEQTkajv j8c3T88cvAULoNq2hVu5Mlxqe44za8J99GHoi+BCLDK/GmWIvhcEIbeIvs9n fGvQmfi3T5dzLRqtkpGeehSe1T9BPf88VM0zffH7GKgqVeC2bgXMne2dD/Dp c/4lMvrhZEPf+3vvusfnEDh6T3t2w/1sCpwWd8GpVNnrEzB2z8FzKFYMnnr1 4DzzFNxFC0xOnzefz2OuRcrvMye3/fUY72Zd+5YtW7B06VLMmzfP5Lkv0H7c woUL833weDwW/Qn2v+X3Nyv/kOfLdSlZ+8KefLyfsCafPor4I4IgRBvRo++P iL4vhIi+FwQht4i+zz+86fi+Nea5du3f++GsWw+1ejWclSvhWbIEzuRJJrdO VT3D1N9T3zuso7v5ZqhRo+CuXAW16ic9VsH9/Te4u3ZCpR71x++zPrZvDTxb Z8fYP+cZmK+3bCnc7t3hXHQxPMW9sXur7xnDZ46fqcNvdhPUiHfgrl8H18Ne AI5vvqBA3sKoJLf6nt85xvD5veBatlxbjvq5oAaPx8EeAOx/e7J7AM+Zdfic k+Dref28VvbFpfYXBEGIJqJK388XfV/YEH0vCEJuEX2ff5iYu0+vOSlH4fz8 O5xxE6D69oPq0QNOt+5QT/0H6orLocqWg4pPMNraU7oUPOeeD/XvR/V2r0H1 7A3VuzfckSPgLvoertZP/lL6TI9t+/O4Jt7u+vrxpqcfg7MrCe4nH0Pdfjuc qmfAo7W9h3n51PVmxJlh1tDVvo1q1w5qzmyolGSj76V7ftbk1fp41MbhGJxb 4GOoPrZZnXfga3P6ekEQhEhB9L0QTkTfC4KQW0Tf5y/ecnet1w5rbfzdPKiX XoH6x3VQiefqcR5U/QZQ2i477J1vYuhaX7PPXbnyUHXrwT33Arjn6XFxU6Dt Q3DHT4S7PSlLbW1r7r1zC64vn9675k76EX0ev6yG2/cNKG03nJIlka6PmR6n j+sbnjivvmcvAKdCRaibb4Ea+yHUrh3eNfUg+j4r8kLfh6NPbG6PG+rcxa8U BCHaEH0vhBPR94Ig5BbR9/mHyaB3fWt6phyF+mk1VL83oa75B5xKVbS2LgWH ufEJCV5tb4a3v51TRP+uWAm4JUrCpcY+vwnUcy/CmTMXzr59Rr9nprDdjBV2 /OvWm5gwawS2bIb6ZBxUq9ZwataESkjwxext/N4Xu4/19tpzSpSAatwY7nPP wWUMX2tXs78CeQejk7zW9wXlm+X22KLpBUEoDIi+F8KJ6HtBEHJLQep79v8+ ffQ9NbZj+s1zvXjl0Y/aN3CnToPzwL/hObM2PKy3p5b3a/s4bwydujou3vzb 5WOVqnD++X/wjHofns1b4GGOvW/uILTGt/re8ep7+Hr7HT4EZ9H3cF54EU6j RBO7p6Z3Y7zaXvExJs43fHo/Xh+/QgW411wLt/8AKPYAOJaWyXEFklt9H/hz Qev73L5e/EhBEKId0fdCOBF9LwhCbikofb9y5Uqj7+vUqYPSpUsbm1n49X2G xjaDfchXrYbq1B3OuU3gKVrMW/vuy4e3+t4T542jU2O71Nd1zoLz+BNwZn4L 5+CBgPXxsqHvOccAbw6BuyMJSutO55+3w1O2Ajx636Zfvx6ueczQ+abPnx3F isGtXQvuIw9BzZ4J98C+TI4rkNyujycIgiCED9H3QjgRfS8IQm5hj2yus019 X7ZsWaPx8zs/n/q+8Mfvic2Rz+iZpnbsgDNlCpz774enRg3vmnixNoYfG6Dv fVq7Qnm47GE/cgTUhvVw01L9efdZaWx/jj5zBxjDd7TW1zbD/ewzqOefg3Pn HSYnwLn+BqhzGkOVLgul9T51vsteAJWqQjW5GM7Nt8Bz++1Qre4x/fbVvLlw 9/1dQO9fdCL6XhAEIXoRfS+EE9H3giBkl+C8Xwv1/Zw5c3DvvfeiTJkyBaLv mZ/POH6HDh0Ktb63K9S7vrXqTY68Prbz2xo4fd+Ac+mlUGXLHl//7tf3MUZv q3pnw+Ua9Avnw+W6dspjNLvR91nYbP/afL5tXer7v/6Gu3wZ3P9pjT9+LJyx egwZCqd1Gzg1a0MVLerV9yVLwz23CdTT7eG8PwaecZ+YuL+aMQPO73/APXy4 QN6/aEX0vSAIQvQi+l4IJ6LvBUE4Vez9nvn5BRW/D5Wf/+uvvxZifR+g8W2v O8cDtWcnnPHj4dzZAuqMasfpe4/R9zHeeD7r46+4AmrgALh//uFd586sP+/N uT9p/N5oe4/3dY7+d9oxuFpjqr92w9m7C05SEpyly+B07QGnYaK3nx/1fbny cP9xA5wR78GzfgM8u3dD7d4Fpd9PJ/kIlEfWNM8K0feCIAjRi+h7IZyIvhcE IacE98Ci1l22bBlefPFF1KtXD5W1jWjSpAn69OmDzZs3m3Wsc0tqaiqWLFmC J598ErVq1TLHuPLKKzFkyBBs3LhRm5+0XB8jFJGk7xW8ffaM1uYadatWwnmj D5zLroBTqnRA/3pf7L54Cah6DaCeeBJq1iw4+/72rmfvevvqZV57n3F0zgE4 Nj9f+QbnF5x0OMqBR/9dnPXroPr0hWqUCLdYca++L6/1/U3NoBi333/A2xvQ ro9u1zQXdyFTRN8LgiBEL6LvhXAi+l4QhJwSrO8ZW1+7di0GDx6Ma665BtWr V8d5552H3r17Y/369UhPT8/1MamnaSsfe+wx1KhRw2j8Vq1aYfLkydi9ezc8 Wj/mB+HW9wjMzTf63uPV5p50qL/3wpn6FTz3PQCnRk1vv3zb345r5FWsBHVj c6jh78DZuBGO/jsYRW//fu7JVqF3ja53/EPrfOb2c/h0erq2+54NG6H69oPr 0/emn56p+b8Rrtao7oFDRtt79+Wa4T2++AuZIfpeEAQhehF9L4QT0feCIOSU YH3PmGxSUpLRIy1atDDau3HjxujSpYvJnc9tbJ3HYg0Aa/wffPBBnHHGGahf vz6efvpp8ztqnryoAQhFJOh72N56rjev3vXF0p20VDgrVsDTpSs8FzSBU6yo WXPe9MxPSIA6ux5UuyfgzPganr/3eXV1wD69+jqL/Hwb5+fxbB2+T9srR8Gj XKPvnY2btb4foPX9uVB+fV8Oyuj78T597wnS98o3vyA+QyhE3wuCIEQvou+F cCL6XhCE3ML7Pm3WjBkz8PDDD5v6+LPPPhvt27fHjz/+aLS53S4zG3Gy5/bs 2YMpU6bgX//6FypVquTX2suXLzdaO79sT/j1Pfxm2Mbxvf+zl77W2Tt3wPns czj33Q9VrZrpb2di+BUqQt18M9So9+Fs0vo7NQ02Jd6v6rP1lrkIrP83mlxx rgHeNfZo9zdshNv3TbiNE6GKFzdr5bFnv2reDGr8BLgHD5ma/8B1ANyT5g6c 3oi+FwRBiF5E3wvhRPS9IAh5AXXHwoULTf87rltXTWtN9tP/4osvTP48ydB2 J9qJrJ5j7v26deswbNgwo7PZw++iiy7Cm2++id9++83U5ucXEaHvs8Dl3Maa NXB794bS74kqUwaKefran1BPPwWl/yZG2zvKL6X9Gj8X5to/R8DcjA0bgL59 4SY2hlvc1t9XgNusOdwJWt8fsvo+YC0AO1chhET0vSAIQvQi+l4IJ6LvBUHI C45oG8F7R48ePdCoUSNUqFABV111ldHgq1evNvcU6vRQGj5Q2wevwcfa/QMH Dpj+/NQ4DRs2NGvwXXvttXjvvfewZcuWPKnvz4yI1/eOfk93bPfWud91N1TN mlClSkNdcTnUoAFQf/6Z0csu4G336/vcmmzq+/U+fd84Q9/D6vvx44FDB+ns +PU9RN+fFNH3giAI0YvoeyGciL4XBCEvYI+9HTt2GE1y++23m/g9B/XJW2+9 hVWrVhmdnpNe+pwPYOx/3rx5ppa/adOmqFixorGV7dq1w7fffpvjfeaUyNb3 3h55bnIy3DU/Q/UbAOeaf8BJTIRq9xjcObPg7t/v2zSf+tnlQN97zzij9l/0 feaIvhcEQYheRN8L4UT0vSAIeQFtGTUv17Dr2LEjzj//fJQqVcrk6rds2RLD hw83z7GOnvH2rGrtqdfZk2/nzp0mbt+rVy9cf/31qFq1qskL4M/M1afO5rxC ftqdiNf3HOkeuH/tg/rfNDhPPAmnVSuowYPhrlunn/PlNlh9n9dv1Un1/QSt 7w+Jvs8hou8FQRCiF6vvH3roIdOPSPS9UJCIvhcEIa+gPdu2bRvGjRtn1q5j nz1qcubr33333SZXnz34mK/PenquW8+xadMm87hhwwbze9bUr1y50tjCbt26 oXnz5qYnP/MBmjRpgueeew6zZs0y2ju/bY7V91z3L/L0vU8qOwpuylG4K1dB jXwXatAgqOnT4e7Z49fVCJGjnyeIvs8X9u3bd4K+X7x4sX4rD4X71ARBEIST QN9k0aJFpudwvXr1TF7j1KlTRd8LBQLXtHrnnXdw3XXXmX5V3bt3x5o1a0Tf C4KQI2ztPO8da9euNdqEa9VTj1epUsVo8wsuuMBodWp/zmnz+SeeeMI/mHP/ yCOPoE2bNmY+4IYbbjDr7NnXcx6Sen/27Nkmtp/fsXtCfc86f9b7n3feeeYe +eeff0aEvueVs4+9Yj97TzrUvr+h1q+D+v13uDuSoFJT9fNuRq/8EDX4uUb0 fb4QrO+5FgXzX0TfC4IgRCaBfYQY76C+p69DfX/bbbfhq6++Mvo+q37CBXi2 EH1fuAj8XAXH7+k7M7Zm15uSv6cgCDmB9wz22mMcnvqEep26uFy5ciiutV/p 0qVNDT3XsK9RowbOPPNM/6hZsyaqV69u9Hz58uVRsmRJM5gDwF59zPtn3P5k Of55cQ12BMfveY/8448/IuIe6dX3+hyUb608Jx3OsWNQnPeg3ue69YEqOkjj 50k4X/R9nhH4uQvW91yXgmtNUt+H+3MnCIIgHA/rCrkWMHUVc/x+0lrqo48+ wh133mn8G8YIWFe4YMECk6PI3sC8n+dn/6CsEX1fmGC8i3V9zIP9+eefTRys c+fOuPjii00O7eOPP45PP/3UrCnNGNWuXbtMPE7ZHE9BEISTQHuVnJyMX375 BR9++CGefvppUzNPnVK/fn2Tt09tz3XsudYdNT974nMOoLK2L9T57EfToEED k1d0xx13mLx45rZt3bo1X7V98D1y/vz5JmbP+U/OwfMeyboBe49kHgHvkeGw fd4e+F597xotr7xr0rv+1epPXGFe9H1EYteJ2Lx5s/necK3Jvvo9Zd8Hfu7u u+8+fPzxxyZHn74jfUjOo4ltFgRBCA+Bc62c82f+88iRI/FYu8dw57/uxNXX XI1atWuZXkRnVKuGppddhlv/eSv+/dC/MWjwIFOHyNfxPl7wPoTo+8IE80IY /6KvfM899+CWW24xfbDoZzNexrWnGMu/6667TLxgwoQJxp9mrytBEITsYvvt sQaINmzatGkYNWqU0Swvvvgi7r33XhMT5z2HtfXsw0f9z5x89pvt1KkTBg8e bDQNe+wxZs77V5rPzuRlDDNwPzwG+/JT07du3Rq33nqrqTHgPZJzEDxfniPv kcyZHj9+vH/OIWwEr2t//K/zF9H3p0zg547anrmc/fr1M/Up7MXEuS3mrvBz x/kufl/uvPNOU8fCnBLOL6Wmpvr3Jf6XIAhCwRHoi3C+dcWKFejduzcu0zqe sYpSpUuhaNGiiI+PR0JCAkqWKml6BDe5sAlefvll0zPV6vvAfRbQ2UP0feGB ea1ffPGF8R8YQ+PnrESJEiii/5YcNn+W8bObb77Z1Oaz95Xoe0EQcorthU8N wnxj3ku4Th7nGJm39vrrrxuNTL3y5JNPGns3YMAATJw40Z/DxvkB5rxRP9s5 7vysXeN6fLxHPvjgg0ZTBd4jaaN5j6Te4j2S2n/EiBGmN2BY9X04EX1/ygR+ hvn9mDNnjplXZ88JzicFfu6KFStmbDP7ULBWhd8dxvn53crv74QgCIIQGnvf pU6iL/D++++buirOzfLeHRsbixhtE/nI+3mFihVMjGDo0KHGxwnsI1Sw93HR 94UJrq3DvL9XXnnF9LpibmxcXJz53HHwZ/oRXMuBMTT6ufR38zMfVhCEwk3g mne8BzGnnfF45hozVs7Y/tdff230zdKlS7F+/XpT9875cNq+ULo+v2wgz49x 1A4dOpjcpqzukY8++qjJ1WcdU/hq6MKM6PtTIvgzzHoWrl3D/Bbqd/aoCPYN Gf/hvBJ7T7Luhbn81jcUfS8IglBwBN9z6QOwVo/5ij169DA1fbxn23s4B/sJ JSYmGg1G/4d5W6G0fcHcy0XfFyY8Hg927NhhdDt7OtauXdvMJ1n/gb4r41XN mjUz+X/0s239vfxtBUHIjOzYJNtTlvchan3qd/aXoY2jrubP/B2fo60M3l9+ 2z/uj+fGOc3PP/8cDzzwgKkdsDrLDt4jmd80evRo0yMnXPX3EYHo+xwT6nPM z7uN4TOnhXUg1je0/iHj91dccQUGDhxo4j6cE7C2WWy0IAhCeAi8lzN+wbo9 1lLRV7Aai4N5Wcz7o+/AtYRt3l945mhF3xc26D+zbxTXom7atKnp+2A/e/wc MieVa1Wx9x597tM2LiUIQrY5Vdt0svmAUMfIa4JtK3OeGUt97bXXcOmll5o5 98D4Pe+RTz31lKkhOO37j4q+zzGZzVMxFs85ddbFsR+lzR2x9plrS9x///1m jaX9+/ebuajg/QmCIAgFS+D9l/WEi39YjE4dO+HCJheiXNlyiI+LR/FixXFu 4rl45aWXsWDefBPXsL5D+HKwXDYGhLvwe7htHwyh7x8BFv2gjZPkcEcDnC+y 8Sn25OW6DfQhGKOiP3HddddhyJAhprYvTeZsBEHIJlnF1zOzW1nZs1D6Pjvb 5ZTgc7Z5TlxLpM39bUyeE2OpnP8sX64cbrzhRvz37f9i3dp1/jyD05a0Y8CG jUC/N+EmJh6n79HsZmDCRDo8XMjPbC76/sTPm42983PHtRtmzpxp5ti51gR7 M9E+s+8D17lh7yb2sKBtDu7JJBpfEAQhmAA/BKHr/PJyeByPieF/+fmXeOTB R3BW7bNQvGhxVKtaDffc3RKfTZqCPTt3h6ytCstIOQr3+8VwH3xY6/sqAfr+ TK3v28H9YQncdE/4zzPSRmBj4wiBPgE1/q+//mp69V5++eWmjw9jVPQnnnnm GcydO9f4GYF1r4IgCCcj+B4Y+LuTbR/8u8yeD/V6BN1r3VzYcd73aHu5DtnQ wUNx/T+uR9kyZVGmdBmcl3guXn25A5b+uATJh5PDb2PCPbS+dzduhttvgNb3 52bo+wpa3ze/Be6kT+Emp/jW8IvScdzKBHm3ZkOoQY3PGD77NrJOjnPu1PZc T5J9cRm7Z59cyccXBEE4GUrfbHmv1DZdpeGIk4wj6Yf1SEZy+hHfSDm1cSxo 6N8d0SPFk4K9B//C4mWL0b1HdzRpciHKli6L+g3q49kXnsG87+fiwOH9+jVH zPanfPxcjCPm2Mk4rM/18KF9SJk7B+ltHoCqVMWr7fVwap6J9IcewZEF83D4 6EHzXh3xjXCccziHue5jdvCzc1j/nY8i3WHfZ+snHI+16XlJdvdHH2HKlClm nTz2eaxSpYqJ3Q8bNgzr1q3z98zPzjkG+ieCIAiB5Pu9wfXFhHmfVd7586P6 3kv7lWGPMrflR44FDf27o9rubd25FZM/m4x7722NamdUQ5XKVXD9TTdg2DtD 8cf633AkNRlH04+GzUaHb3jfS+PLHDmIlLW/4dgbr0M1agxVzKvv3fIV4NH6 NOWTj3F4/x6fP3G8jbR/n/BfT/DnwXuOKT4fKEX/7piTpj9ezIdnzDwjF8HF qdm+zPQ9YR0++05yXQn2f2ANJ2P3PXv2NHUj2V0TL6/tsth4QRCiC2p7R9vp FKz9ey2+WT8Tk9dMwic/fYJP1oz3jp8n5GysyWLo5yf8PBFjV36MwbOG4MHX /o2G1zZE6RqlUevi2rjr1bvRb2o/c/zxevvxQa/N92GOORHjV/NxPMb9MhET lo/FrA97YNNt1yK1fFk48fFmpFSthA0tbsDMj3tj/Cr9funr8p7z+II950gY +prNta+eqP924zFJf4ZmrZ+FdX+v137CUe0bnGgb80MXB+8vs32zDn/ZsmXG Z+Ca91deeaXp6/PNN9+Y3tW27j6n+j47x87JtQiCEN0UhC4wx1AKaelp2Hlo J77fsgiTf/7Ua8dWj/fZpCBbHmBbxweMCXpM1LZszJIx6PpJF9z4yI2ock5l VDirIi5pcSmeefspjFjwX0zU2036eRLGh9v2hMHWGXun36OJKz/B/75+C6ue vw8HzqoJT9EEo+/TypTCzisuwPf9n8Uk/T5OsO8v/xZmjNP//iQyfQRznvpz wM/OTxPw1e/T8POuX3Aw9QAcRY0fWt/n5DNutw31WvZ0YP+8wYMHo3nz5qYH BNezYb3I9u3bs22bQ9nl3HwPc+OviC0XBKEgsfdnpfX93uQ9mLh6MtqMb4tL hzVF44GNkTjkXDQelojGb+XRGNbYO/TPjYY3Rv2hDVG9Q02U+r/SSLgwASVv KImq7auhXv8GSBx+LhJ57Lw8frYHj+299kb6PC4akogHnz8LX11aHvtKFYEn Ls6M3eUS8MUVFdDmpXo4f9h5+nXnec/XXGPjMJx3mAevfeh5aDToXPMZenDy Q9oHnIQ9h/eYvLt0PTy+EWrNJ9ptT8A2/Hfwdrb/dPB2wTY8q+0If2aNyNSp U9GpUyc8//zz+Pjjj01uYEpKynHH5c/B5xbqGkJtF3gNgecWaru89kcEQSj8 8A6haMf1OJR2CIu3/IAO0zug6fDLkDhY27EhjX12KXv3cNrdRNroYY1wVp+6 qPhIRRS9piiKNi2K8q3KoXb3WjhncCOcSxs9XL9m+Glm73zvJX0D2v3mvc7B oDvPwLoziiGtSCyg9f2hEvFY3KA0Ojx0JpoO0u/VW773dah30Edo9BZHBFzP Cdd3LhrRjvOzM+g83Dr6NoxY/C7W/aVtY1rKSW10KFsZ3Kch0AayXi5wX7aX Pnvcdu/eHU8++aTpuceaOq4xEWh7zec/C3ufE//B/33Kwf5OZu8FQRDCgdX3 juvBjsM7MOLHd3H1f/+Bcl3LI7ZDLOI6xyGuix5d83B08Y1uevTU4+U4xLeJ Q5H/0+OeeMQ9p0dXPboHbJuXx8/hucbq8yil34dr/x2HsefFYm+JGK3tvSOp TAzGXBiLqx6NR9GuRcx5x4bzfMM9eO2d9Xvwarz+DJXDNSOvwdAFQ/Hn1rXY tWM3tm3dZtZEoK5m70S7DhTtIuPpjJtzfn7r1q3mkX3waM/t+vN8ZG9G/p77 4dpM3I659lwrh/ux29l1prkvbpuUlIS//vrLaHdrz1ljzx7Qb731Fvr06WPy 9Vlzyt/b/j3clq/ha7kP7o+D+2YPX9apEh6b5xB4DTwu14a212Br/+012O1C nVtwfEMQBCEUxoZrdU99vz91P2av/xZtJtyPct3KI75jEcR2OsX7uc8Gxz4Z i9i7tT9whx6P6N+96nu+W8AIt+0pYDtHOx/bTdv9bkVQ9/l4dGgWh18rxyLV 6PtYHCgWi1l143Df3XEoo9//+G4Zr6VfZV7f1TvCfj1Bg+cUo88vRp93bMd4 E2/pMqMblqxbiqQdO7EjSdvVbSfaLQ7mztMusj8j7Z+199Trdq0FDv5MO2tt qrWVtNu0qdwn9fzYsWPNWjfjxo0zffVo82nvA/0C2t5Av8Duj9vx93Y77jfQ Lwi0vfQ/7LxB4DXY7fhz4DWE8gvsMa0vIgiCEC78+l55kHRoB975YQSuHH41 ynYuh5hXYvT93Tc659HoFDS6xCC2Qwzino5FkUdjEf8f7Ue87Nu2Sz4c/xTO NbZrDEp0jMHVbWPw0bkxWt/Ham3vHdvLxGJ0kxhc8XAMinTW5x6O84ykYf9e +m9apnMZNB3aFF0/74Zps6Zjxv++xqQJk02O3ddff23q6GgbqaNpJzdv3oyF CxeavvYTJkzAZ599ZubvmadHW057Sru5du1a8/vJkydj4sSJZrt58+aZuDuf 53a0zfQNmGs/adIks+2XX36J77//3thg2m/afOprnkv//v3RpUsXDBo0yGh8 5u3TV+A23Jb2e/Hixfjiiy/8+7PXQJtPe89r2LRpk5kv4DXw3Hits2bNMnMG nM+w2p7XwHV+ee68Vp7bDz/84D+3wHiCaHtBELLCm4PnjRkeOLoPs9Z/g/s+ aY0yXcogroPWaa9m05aG2ob/fkHbwSf0aKdtXPvYjP2F296E285pHyWhSyxq t4/BKzfGnKjv68Th3haxKKnfr9guvtd29I1If/86+c5Tn3utN2rj6fFPY/K3 k/HNjG/wxWdfGPv2v//9D4sWLTJ2i3ac+pn6duXKlZg2bZrfVk6fPh3Lly83 +p3bcVAv//jjj8b20QbSVtJer1mzxuh+6m1qZtpZzr8zV3/MmDHH+QXU6lbb //nnn+b33I/1C9gn1/oF3I5+AdfG5T55bhw8Pq+B8wa04bTRvIYVK1aY3D67 Ha9n6dKl5hp4naH8Ah6bx9y4caM5f5mbFwQhrLjMVfZg58EkvLt4JP7x9j9Q qWslFO2YgKJdi+bf6JIxinX2jU7FzKP5fX4e+6TnVgxFO3Pon3sUQzn97+v/ nYBx58Xjr5LxWtszRz8eSWXi8MGF8bjm0aIo0VVv361YxrWF8/zDPBL0+1ah SwVcNuhyPD/mBbzz/n8xsO9AdO3UFT269zA97Ghjab9pU2mnqZU5R//666+j c+fOZh2ckSNHGu1Oe0v7TC1Ne/ruu++iW7du6Nq1q1mj+YMPPsCSJUvM89yO 8/Pfffcdhg8fbrbhYHz+k08+Meve0d7TPm/YsMHYZvbR79ixoxnU+vwd/QJu Q9+B+px+CvfBeQDuz16DrQekfqdfw3gDz4nX0KNHD3MN8+fPN34B98c5DV7D qFGj0KtXL1Mb0LdvX+OT2HMLrC8UBEE4Ga6vtfmBo/sxZ/1MPDD+flTsVgHF Omqb1CkhezYpwCYf9zvawU6+xy6ZbHc6Dd+1J2h7X0qP+u2LofONRfB75Ti/ vj9YLAZz68ah7V0JKN9Rb9/d99rOvhHua8jONfr+7nVeq4OHRz2EoWMHY9jQ oXitR29j32g3qc1pt6hnGdvmHDf1POfKuQ1tJX/mXAD71nI72vw//vjD2FTa Ptpd2krqeK6NR7+A29GeU1O///775nluR5vJ3vr0CzgHT63N+QDOj9MvYD4/ bTT9B+sX8Hnqds4pcL6dx+E2HLTp48ePN/MKjCNw7oHXwD79AwYM8PsPAwcO NH4Br4HXSTvNOYZAv4DH5rkyPmDn/cWGC4IQNnz6fs/hXfhk1TjcPfZuJA5o hNr9aqLOoNp61M2fMZCjDuoOqI2zBtXBWUPOwlmDz0Zd/Vxd/n5gPh03i1Gb Y+BZ+rzq6fOqr0c91B5SH+fox9ZP18TnF5fG36b+3qvvd5YtgslNy6Llc7VQ f1AD1NHb1h2kXzvwbL2Pswr8/CNjnIVab9bBOf0bocXouzDkm6GY/f1sfDf7 O0yfOh0zps8wtpm2kTaQ9pn2kjqZdpH2nfPm1M6M59OeUmNT89Lm0/YyDs/5 dA7O+TMOwPi/zRPkfAFj5NTVdjvul/unjacNp72n1macn9txPzNmzDBx9dWr V5vnOFfAbanNqd3tuXF/9hqo622+IeMY9Ee4L27H/fEaOFdg8wntNdAf4TXS j2CvYMYL7LmJXyAIQo7w6Xv2QFu4eR6e/d8zSByYiLr9aqN2/1rG1vLe7B2Z 2T6OOuaR29EW8ue6+pF2uc7gOubxLP3vswZ67XSdQXUiwOYU8Bjofa9qDamH s7Xdv6Zrfbx5W1WsPaMo0orEGX1/qEQcFjUojvZtz0Cjfmej9uB65j09u79+ 7/rXM/5Bbd/7HvbrCRp19Xmav3l//XO/s3DV21ej29Su+GrRl/hu7hzMnP4N pn01DbO+nXWc3bJam3qfdpQ2kINz7dTPrF3jNhzU5rSptH20gbSVtKmcS7d1 b5wP51x98HaBfoGt7WPM3PoF3I621foFfN76BZxX4HHsudGmM7eA18DjcX+8 Bsb5mQ9g/QfrFzDWEHhuvH7rF3Beg3aduQA8ZnCPAEEQhIKG/fUOpx3Csu3L 8P6y9/H6nNfQbXYXdJ/bXY8e6P5dz3waPdDju+7oyTG3J3rO66Ufe5h/9/gu P48benTzje7f9UIP/R70+K43us3rjde+7Y4Phj2K1c0vwJGyJf398w9WLoNV /7wIo//7OHrP6YXuetsec/XQry/oc4+k0W12d7w2+3WMXjIGP2z8ATv27jB6 efeu3WbwZ9pm2klby0Z9TLtO+0k9TfvP7QLr6vlIDU/7y23sdpwn4O8D6+/5 Or7ebsf9cv+0y7YGkMfneXB/fJ77og9iawBtnx36LtTx9tw4uJ2t7SOZXYPN NbS1fbZuj+fM5+25cf/BufmCIAjZwqfvuS7e+n3r8OnPn+KN795Aj9nd0H2O Htqmntz29fAP+zs+9jBD2+q5PcxjT/3vnj7b3cPst+BtdbiHeb/or8zujaET OmD247diT52q8BQtYvrrpZYujo2XnI0p3Vvh9Rnd0G2u1yfoNUe/d9pX6OF/ v8N/LcGjh/n76sfZ+m88qyeGLhyKmX/OxMY9G7Dnrz3Ys0vbt50Zdiuwrp52 k3PZtI+BtpI21c5dZ2ZTrV9ge9XQFnI7vpbbUU9zu0Cbav0C/tv6BdwuM7+A ++dx7L6C/QJbp3+yawjsNWDtOIet0bfHFARBCC+swXfMevN7j+zFjkNJ2H5o O5L02G5+zp+RZMZ230g6YeTnsU9+bjv855C0ewP+mvklUu5rCadSRagiReDo kV6jGo48eC/2zv4KSfu2RNT5h+c9s9e93bx/e5P3IjktGemedHgC+syG6imf nV60edWj3v+pD7FdqP63mfUEDt4uL89NEAQhp7AOP9WTin0p+7Qd3+Gz4dtz ZY9C2eZg2x1u2xM2m/fXZuxaswSHenVFeqOGUMWLGX2vypdD2g3XYd8HI7Fj 5zpsP3iijxPuc8/W3/tgEnYd3oWDqVrbetK0Hde2yuOc1KaezFZmt/d8qP1F sl8Q3B9XEARBiGBSjgILFwEP/htu5cpwtbanxldn1oT72KPADz8Ax9J9RZCC IAiCIBR60o4BGzcB/frDTUyEW7w4XK3vUb4C0OxmYOJk4PAR8Q0EQRAEIdJI SYG74Hu4bR8Moe8fARYt8tp5seGCIAiCcHqQlgZs2Aj0fRNu42B93xyYMFHr +8NMrPC9wM1ohigIgiAIQhjw2eEj1PcLtL5ve6K+f/Rh4PvvjZ2XnCxBEARB OE2gvl+/Qev7flrfNz5O37vU9+MnAIcOsXjLbO5afe961yYWBEEQBKGgsfr+ CNz5C6BE3wuCIAiCQPz6vm9Ife+KvhcEQRCECEP0vSAIgiAIIRB9LwiCIAhR huh7QRAEQRBCIPpeEARBEKIM0feCIAiCIIRA9L0gCIIgRBmi7wVBEARBCIHo e0EQBEGIMkTfC4IgCIIQAtH3giAIghBliL4XBEEQBCEEou8FQRAEIcoQfS8I giAIQghE3wuCIAhClCH6XhAEQRCEEIi+FwRBEIQoQ/S9IAiCIAghEH0vCIIg CFGG6HtBEARBEEIg+l4QBEEQogzR94IgCIIghED0vSAIgiBEGaLvBUEQBEEI geh7QRAEQYgyRN8LgiAIghAC0feCIAiCEGWIvhcEQRAEIQSi7wVBEAQhyhB9 LwiCIAhCCETfC4IgCEKUIfpeEARBEIQQiL4XBEEQhChD9L0gCIIgCCEQfS8I giAIUYNX2fv+8+l7N1N9v1D0vSAIgiCcToi+FwRBEISogFaX1lhpG2xGcjLc efO0vn/Ar+8dDq3vldb37qKFcNNSvfpeNL4gCIIgFH5E3wuCIAhCVEBL7HBo G2xG8hGt7xm/f/C4+L1T80yt7x+F+n4hlLbzyuUrfTn9giAIgiAUXkTfC4Ig CEJUoJARv6e+V8zPnzcfqk1bqEoB+r7GmXAeegTO9wvgpKXqbZXPZovdFgRB EIRCjeh7QRAEQYgaXL8ZZv39Yah5c+C57z445St6c/P18FSvAefBf0MtmKv1 fQo8Wt8rV/S9IAiCIBR6RN8LgiAIQtRAE6ysKU5Jhvp+PjwPPwKnRi2o0mXN cOo1gPPEf6AWLfDqe+XV99JnTxAEQRAKOaLvBUEQBCFK8Npef3+9tKNQv/8K NfxtqIcfg2rd2gzniSfhvDNSP/cbVHoaHKvvxW4LgiAIQuFG9L0gCIIgRAlK m1/H9MtTfHQ83hr87duh/vgNnt9+hvPrGjh//AG1PQnukWS4ytHDG7t3Yfvs CYIgCIJQKBF9LwiCIAhRAvW9Mvre0fqeg/+mjXaV73dazyvl+GL2yrc2ns90 h/v0BUEQBEHIX6jvN1Df99P6PjFD31fQ+r65T98f9Op7b2ceXwxA9L0gCIIg FDCB+fkB+h0Zq9/ZKL3ybSf6XhAEQRBOI3z63u3bFyoxI37v+uP347W+P+jX 99ZXEH0vCIIgCOHjZBZYLLQgCIIgnH64Wt+76zdA+fS90vpeaX2vjL5vBveT T+AePOCt32O8gPl+ysYLxHsQBEEQBEEQBEEQhHBj4vFpx6A2bITTrx88iYl+ fe9UqADVXOv78T5973j1Pev5PL6+vZB1dgRBEARBEARBEAQh7Hj1fZrW9xug tL53AvS9Mvq+OdSET6AO7YdyvP16qe8dZfV9uK9AEARBEARBEARBEIT/Z+8u wGypjrUB3/tfyXXXuLsQV+JOPCHursSVuLuHOHEPMSLEXYhDXAgREuLucOh/ vw117qLT22b2nJk5fN/z9HPmzOzdvaRWVX1VtVb3Z/D8/rfdMV/7anfMIx7R 7TjT8evzd1z6Mt1RL3tpd9TPf9Yd5R08zuntz+Xd0b9rJ/w+CIIgCIIgCIIg CDYfTsw76ve/63Z85WvdMQ99eLfj9GfodpzoRMfy+3/+l27HxS/dHf3il3VH /ezn3R8n/N57d7odRx/7rrzw+yAIgiAIgiAIgiDYEkDRj/rDH7qjv3NEt2P/ F3Q79t6727Hnnt2OC16wO/rSl+mOvsMdu6PfdlB39C9/3R11tPfqOlfv2Hft HnuG/mb3IAiCIAiCIAiCIAgC/Ny++qN+8Yvu6I8f3O14wf7djqc8pdvxpCd3 O/bbr9txwKu7HV/64rFn8O04puf3Rx/7Rt3w+yAIgiAIgiAIgiDYQujfeXfU Ud2On/206779ra77xje6Yw6bXN88vDvmyCO6Y371y+4Y9fjdsfv18877IAiC IAiCIAiCINia6N9kj8P/8Y/Hv47647F77YMgCIIgCIIgCIIg2D6od9rvfLd9 cvVBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARBEARB EARBEARBEARBEARBEARBEARBEARBEARBEARBcELFMcccM/Xn9v/zvrue5w+v YPfEtPndyHmPPG08lhnjrPEgCIIgCIIg2DhM49fT+PYsPj7t51nPXsvfgu2J afK1UZwvMaNdg0XmMXMRBEEQBEEQBBuPWVx9Vq51FrcPgjHsao4XTrlrkHEO giAIgiAIgq2BVdVMx7cP5mEzeGC458ZiLeObuQiCIAiCIAiCjcGy+ftl7hsE LTaLZ0cWNw6JnwRBEARBEATB1gd//eijj+5+97vfdT/5yU+6b3/7291nP/vZ 7n3ve1930EEH9dd73vOe7hOf+ET31a9+tfvBD37Q/epXv+qOOuqohZ/h3t/6 1re6j370o91b3/rW7u1vf3v3mc98pr/XH/7whw3sXbAZIBs/+9nPui996Uvd e9/73u5tb3vbTlky9+u56j4usvTOd76z+/SnP9396Ec/6nbs2LHZXd9tUdye rvj1r3/dfe973+u+8IUvdB/+8If7OXB97GMf677xjW90v/jFL3oZSDwgCIIg CIIgCHYd+N6///3vux//+Mc9d+erH3DAAd1jH/vY7ra3vW13gxvcoLve9a7X 3frWt+4e9KAHdfvvv3/3rne9q/vc5z7Xc3PfXYRT4V642QMe8IDuute9bneT m9yke9KTntTHDHCBYPeCeA55evGLX9zd4Q536K5znev0806Wrn/966/kcq9r X/va3c1vfvPuiU98Yh+TEisKn9wYGNc//vGPfQwQr3/LW97SPfWpT+3ufve7 dze96U27G9/4xt397ne/7rWvfW0/97/97W8TbwmCINjCiL0MgiDY3hjLpeFD 3/3ud7sPfvCD3Qte8ILuoQ99aHe7292uu8xlLtOd9rSn7f77v/+7+8///M/u lKc8ZXeBC1yg52j3uc99uv32269797vf3ef6cbl58LnnPe953V577dX97//+ b3ea05ymu8UtbtHnX8UWgt0L8rtiN+I5e+yxR/fv//7v3X/8x3+s+yKL7eV3 pzvd6fp4kbhTOOXGwbj+/Oc/7z71qU/1a/mud71rv57Pfvazdyc5yUm6//mf /+l1xL777tvrE3E7uf4gCLYu+ATWtnob8bv6t362htf6Xkz/tvdrL7/33LH3 9qyqX2v5znpqjlbJlYfz4lp2Ltp7Ve3V2Nzuao5fzxz2r5WJtb53p5W9tr/t +G30+3y2K2bJXMYpCLYuWp3KTz/00EP7XNujH/3o7la3ulV3xStesbvgBS/Y ne1sZ+tOetKTdv/4j//YnehEJ+r++q//uvv7v//77r/+6796zn+e85ynu+xl L9tzKvEA9/jiF7/Y/fKXv5zqz3/zm9/snv70p3d77rln97d/+7fdv/3bv/W5 19e//vXdD3/4w+O1b14fZvVtLd9dK5a1EYt+ZszfWZUtmnafVY+N/Rtqte95 z3v2sZy/+qu/mnqRL//+xV/8Rff//t//23n5//Az9XNd/o9X7r333v0egN/8 5jdT+f20syUX+d1aMGvOFvVfNssPGXsWvv7xj3+8r+25ylWu0p3znOfsTn7y k3f/8i//0q9p8yEOqJ5Crb4Yz0bz+1ljMm2M49cFwbGompyf/vSnvY3+2te+ 1tfeuL7yla90hx9+eF97J4Y/PLNneJ/hRQ/TAUccccTO+9a/X//61/u8gr8P Of6q1ubYOUNjf/d8emqMV067j8/WtRFtB/NC58qNmAtjZ08U2zorhj3WT59X a6nm0tibA/uozG3VYO5KfVgcks/Y9m8oE8vq7PZzxk/uiAyXzH3/+9/fmQOI LTg+jIl8n/o8Y2ZODjvssJ1jlnEKgq2LWp84EG7/tKc9rbvWta7VneMc5+hO fOIT9/wdr+ej42S4fF3+f+pTn7r/m1ydvL7Pn+lMZ+rrpOXz7LV27zF72PL7 v/mbv5nJ72dxz2X479j3FuW1s/yCac+dpf/WYp9mPWetmDVWq9Td5MD5Co98 5CP7OSc7ZKiVq/pZ/p1ckQnxJNz+L//yL3veeLKTnWznZ9rvtDJ5rnOdq685 cV4EP7T1fWb1cZZMtL7d2BhOG7Ph3+Y9Yy2fWwaz1sOszw2fZUydn6HG58pX vnK//v/pn/6pr8ugM2p+xf7ueMc79vl7/lXrRy3SxmXavsyaX3S8g+CEBLxW rJ+ufvnLX9494xnP6O20i39gf5U9e3jgLAzXlHVv/eMJBx54YPfsZz+7v5/7 u5773Of2+3v83ecW0cvLYhHdULyXvRq2Y6wtxYHwHd+rM0ZW2fb6Ph5vH9Rr XvOa7ilPeUo/hmLYeLlnL9Lv+tk887Pe//73d89//vP7OaDLP/ShD/UcuOKw u0ofGkdj+OUvf7nPD5G3Zz3rWb1M8BWH8ZZhv6ahHX9yffDBB3cvfelL+3rT 5zznOX2N35FHHrlzrmMDjoUxqDOTnGVkzOy949c7e8uYZZyCYOuidJkY6Ste 8Yp+TzT+9A//8A/9dYpTnKK78IUv3F396lfv99Pe5ja36XmTy/57+fprXvOa O/ma7+BjuJZa+ze+8Y19fHiYs/PMRfj9rHYP+7AI/51nGxbV77P4x7Icbdb9 xu7Zfn699mgaV90IvsP/4IfwTeznID/kyZkOJVN+vv3tb9/vz7/hDW/Ynfe8 5+35Im6vXuSsZz1rL2++6zM+X5fvu5+6k7vc5S7dM5/5zO7zn//88fbfLyIn s8Zk1vjMuteyMrHo+K91jmati3l9LrD9YoL3v//9+/oe+fp//ud/7mOD9IX1 b57udre79X6oWN8wR9I+a9qzZ7V/Vr+WHf9FnhsEuzvoS/l1/sCNbnSj7uIX v3h3sYtdbOelLsrZJnTrkMvCtDXms/iVOp473/nO3eUvf/nuohe9aH9Pz1Ar yC6IHVRusO63UWjbic8ffvjhPd/DZd7whjf0Od5psYbiPs4det3rXtd/B1fG e4bx5FX1gS/Fp2Lv+E3iqva7iWPLey/Sz4J+6d8TnvCE7qpXvWq//5JtFTeQ o93VZxwbT3lifJ4dv+QlL9nLhPNbcPIxWVsE1W9zoi5ALINcqze9whWu0D38 4Q/v7Zj5bz9/QrcD+k8GvvOd73Qve9nLen/MWr3a1a7W1/eS+2XtdhAEuw50 Gr+bzrOPHi+Xg7c/Wg5erf0LX/jC3ta94x3v6ON2zj532WvvfLw3velN/Wf4 +fSxmIA90Pbg7rPPPv1nxPqHenM9/H6IRXjbqrDsfRfhTutty3aAGI/aQjV3 fDjyQ55amaqf+Stsys1udrM+B0w+yNQ1rnGNPqYvZ+Ez9f324p/xs9hs/sK0 /Zzr8RXmfXcRDrkIP91VmMW3p/Fl/qH9Fji8mKD4i5oKcZdXvepVvb4wx/L2 uIB63/XMw6w1vapx207rKQg2AuKw6paddWu/jZi9te2yP+/0pz99zy/p37Gz TaatwzrXR44Yd3NWSt3XM9QLqh10/k7Vm2/0eizeR5fhfng6n8VeIzEI9mTY x/oOPq3GgT3CfcQ9jJn8epvPWGX7tVGdg3iIceNrOVeWz0S/zutr2xbz4fxZ /TzVqU7Vzwf97WxU3G1WPcBGwByo+37Ri17Ux33+9V//ta8Dk3NiS9bL782J eAafllzrr3189o7xR8jc8DsnZOi/2kf+mhiQMVOfhyOIv3jv1Ql9jIJgq4KN ok/lU52JT8erf5YjlQt99atf3ddK4dp4Gf1nH1R7+R07J67s7DSxX+dr0cvu Ze/+ox71qJ5rtbW5sGp+P/z/ruD367nHvJ83Cpulk8vG8ivElYayNLwOOeSQ nblhvgz/j1zi7uR22vdKTtmmaXu918vv1/PZefKzkfx+mbYPfx7ye/OIu9Md YoJ8f7X4am75oXJ15sFc8xXH5mI9/H7a39aKzYqtBMFWQvn0j3/847uznOUs /Zknf/7nf75zjxQ9jHOJ+Yuf1jtx59lcPFkuwX3VZeH07b3Zf3nkN7/5zaP8 fhVrckxv1Ls9P/KRj3T3ute9dp4hIpdtH0F7fkt9X5/pODUOuL0YtLol54iq ZW7fE7xqfi+ewK8ybvSuuIL3G83i92PzQSdrq3isOaW/9VvtG39tM/i92gfv Yzr/+c/f14FWTF+OaGyvxCJo+b394w984AO7M5/5zL38iSHI5bNjbf1DbMCx qHceOV+HLnC2kb24avOsl4xTEGxN0N/OwFNr44xruhQvF0OXjxfDH75bbJrt Zv/YF2veO/POd77z9fxefPmWt7xlH38dnp09i9+LF7R8kJ5hZ11+9rs663XR c2BaPV9ngRoDfkfd28/t/eflfv3rc237isvU3+oZruF9h9ypPafUPet7fq5z S+vsn9ojWO1eJL7dPmOs7363njN5F8UiMQ125SEPeUjvN+H37Ip93OLG7fsT Z/Ho2htZ8YSaA/2rc3RrnNsxHpvzGndj5x7TZGfamb/D+9XzfW/Ytjqnqea5 njP2jEXHu5WteXM/dl5BOwY+qzbVurZm6Q7+Ib/dPk41ffyl6tOsuvw2h1Yy XXGBaWtm2pqs+7R9q/XYPqNd52P7OoPghIoxfl9cC/+TB7jQhS7U50G9N2Os rnm4Tv0rZm9ftXyzPDHfoPYC4g1j/H6j0LaPbrHfXJ7jSle6Ur8fzFVtGTuf lQ4Rf37EIx7R+zp/93d/153hDGfo9xcYk5bfrxL4vb1Oq+T3bCrbSn+bE+9A 2Sx+L26vvkP/qmZPnGWV/J5/Koelv2TOO1xbfp8Y7/+h+P3jHve4fsycl4sj 8On5YUEQbE04d1X8GZ/3fjoxXHvinKFBv/OxW8zLb9G/bDifX80XfcBu2K/j TB62qd3TNY3fywuI4+Jw9oGp16bzxRDpGT+rz2ZH3YNeXsQXqP1/vsM2ywOr UZBvdOYbW62+zj46ewR9Bk/ha4zV29V5MMZKzNn3tU+Nn3bLbbiH/9sLrq6O v+B3xqkdi+Kh/AwxF3WB2mF8nAOj3pkNct8619g+PM/zXOfEqJ+oc2bHoA98 FfOurtD3cTF9twfNOGir89Cdm2b8N8JPWSRe5P/syoMf/OB+n0fxe7mGIb8f fq/uZTz11Vw++clP7h72sIf1Y6muVJ1ovQPyJS95ST8OZNTfnBEwnPM6Q9b4 84nMj7XjviU7xo88kSs1mmR4eMZ0tdEckYEPfOAD/bPlFOxpPeigg/p1Yh75 OnVegTX5mMc8pq+P8VxrgpyUHI09o0Wdk6weR5/dU3vNu7aTM3NPhsgW7t76 Uy1/1i/rT82eOH7NDw7AX5dvkcdy33pnpv05Y3LZnpdsj6Xxq7lS98OXtWbI a52jPK0OoPx0/TOmnu9e2kqejSfZfuUrX9n/3Z4kuorPRy9slE8eBNsJY/xe Xa6cJ1ttvavRx4vkt62dwjSOb83SZda0s09xBDnai1zkIr3fUfZ/M/j9kFc6 RwS/d4aIveBjexD8rt4FYyzUH/j3vve9b28fNuodIcXv5WNafi9usp78/e7O 76H4PZ9iUX5/Qub4+l78ni5QRxl+HwRbH9YuDtLmR9ly9Wl0HVuxTG6wteN8 aefuOo/PPjt7dXCSww8/fC6/dwYAfq92wN4w3IsNdQ4Kv8K5AH52Bhu+w1f3 uWFtwJBDVuwBf/Ed3OTe9753X2coF+HMf/F3+Uc+hviEz+A89qLxYYY5vjpf R70BG2v8fN/+PZzSs/RP/Rc/xvk1/mZs8KzKewBbKpaAX4oF2AMnLqJtvuv+ OJPxoFfZO230PM91zg5+ikeN8RRjo63mnE9GX9vb7t76fsYznrF/lrbiRXjW Jz/5yX7MjN0qMY3fD38/xu/H8vfTgAvyU/iUzojUR7JjXu23M4bq/42dvhtv fNccGMfqd+0btS6MsZiK+eF3GH/3dfFJyC+5wh/tI+Unj+V/zIe/kY/LXe5y /bsCzIX+ahs/RPvMt3vy59hXPjH+fI973KPnzs4asN5aX2w4pmy0teZ+ajvJ kbM1tJfMm3/jY+7FKqwPvqvYSN23Xd9kSA5Ee+Xz+En1HkO+MX9dfo4PReaN l/U89HnJqXHmY4o34PTWozHlK5PrS1ziEv3+frEP8ShrkW4aO6+zzm80ppe+ 9KX779vHWedPuciCtaS/ZMHZTXx454ntan82CLYixvi9vcrWu/Vp77ezdO1R d0ZKna0D0/g9HeoMjno3Kh7JzrofXUG/z+P3s/hWW5fXvsN92mfb9lr39Ltz weXi+SL4PXugLexIW9dU7/ijp3FhY/Fnf/ZnfT/k79nNYV3QqjCN36+3Pn8R fj+sYZtW3zjt+cPvDudoGX7f3m+s9mrMp5jF770zoOX3de9hG6fJ4PAzY+2Y NQaLxhLqHu332zmYNi7z7l3rZ/i98Psg2PoY2jS6Ur4M32Sf6Dk8Q475G3Pe tTJ231Z/0JM4t3NS6AUcxbOG3BPnkEPkN7T5ez6D/CQ75nx+tgxnqPN9/EzX 8OGdjeJz/H6cb+zds3SUnCMdLv/pO85OdV++hueqr6vzv+Ug7cEzHvZ7y/NV PUPrc9S7VHE+/FCOw3kt/ALjyF/AzXAoexXoRfURuIocfp3n4j64lNwt3iRv cO5zn7vnTvaHufA/nIQtUscgtuFe/C7P1V453nrPS9t/Y872s+XqDMw5boPX 8WP03eVnbb3UpS7V52XVMsgvu+fYPo2xn1eJ9fJ7cihf6/x2Y6+P7iUuwofA J50HW3sPcUqyIb7Ez7AGyA6fin+B+9trTnZwUHWq5IXcuMwTeeIj8n3FAMRJ +MpkZ+hr8HfVuGqTfa3m2Nn/5B/fxT09z/r0HGNQ8mmfu2fg6vgp/3Rom6u+ RFxNDErsjmySI2fkkHvtdt927sV9yJjYAd7bzr1nqJsRX9Ne3689tHxcHJ8P 4PdkHj/g86o1qLVftSrqCfjIdIB+4/LGz/eqXd65xxdzbqe5t9bNaemSVveY K3EzMUtzaV0YO3FGci/OYM1ot3H0L31DP9FFvh8EJ3SM8Xs6UhyU7hRftE7F 7sUx6ZeyOWPcHuhi8dE6ixMX9rO93mL21ip9VJx6yO9n5VSrLo1OqLoscWk6 dyzWPYw7sOFilmp91BaoQ6LL6Rx5CfFTNlD9ln64r/+z1/wDeoTuo2uMD9/F 39kQeYHan7QKtPvv6Vr6cRl+347dMvX55Ufov37JRfBZ5AwWOWe/bFHNEbvi 57Y2ovg9Xc03G+P3xW3NgXlzD77AcIxn8Xs+Frmexu89x8/u7RklR0O5WyR+ VP/3bH0lQ2TDGBg//ye7s95D0f5fP42575acWyv1/do3p91kzzMrNjUNdf6E 77DJvu8+4fdBsPUx1HXF99hRe+HYblxFHFeOa9nauLHYAR0hTsCvZ//pjtIZ hSG/p2/xLfyz5aB8CT6BPQTsGU5L7/sZT8HD5ZzFEIZtr/epijXwJ+TzfAd3 Zpf9y7YZA1c9w+VnnMeePDlfNcLtGSxVD+ze7C0+gpvIsXoWnlQ8XZxdP/hG 7JcxqfPfjIOcPm7J19FXffQd8QLt8jvtxVvwR/bP74wb3lr8nt5v+X3lnuWS 8SxjZUyH/W5/pr+NkT7hRuIb5rGtN1g03rwerIrf8yHNpT2extB8qinBj/mZ /kae2K/yz8gR+8j/4cPi2Ti1OXQP68UY1piV7JgvsqOt2i0/xR8jg62/VPwe F+Vr8A/5Gri3NWnPDDkif3wu93dv7fQ5fNzv+KP64h0WbHP7Dl82m9/q+XxA 7XEv7SY7w/k3735v7smY2Jo4CJ+ouK92i03Jw7mftvCH+Zo4vjG2BoyBe5FT fXSP8rWtSfl8e07Mp3wgufb5djzbS5uNBf1AT4l/8Ltr/4Orzu/iv5knMQJr SNzAed/8RHUW+mp9+dkaNXbW8arrVIJgO2KM31t/YtXWMr2Ay9KH4pP0QbuX b4xb4SHipuJpdINaf3VO7kfP0RmVMxevbO34tJqA4kw4oXyCfTh0Ck7Ot6G7 2UOfafOwFfus89zEHdhwXJ09oMP4Itqlvottxp/5RvSpC7d3bpGYh/7Q3/Q/ +y5+r15ef9XwtbVg68UYvzemy/D7Ggf2iE9DB9P9s/i98WJz9d3Yiol6ZsVa 5/kCdH/VJ5ojYyp+XHHV8hun8Xv7qPy99heKMfudOecP1L7FWWe9TOP35Bm/ 1z/3Z1f4knwm8+xZxt3fx/asTYN2GEN+BB+MvbdXzbjpPxtmDIy1v7c8fThn oG/GR22d77qH/rN5nsHf4TMZY+0WO/f/8r2HPr3/669nWyu+o7ZTTsf33FOb 6vz88Psg2HoY0xP0FZuGQ7Or7C0uJQ++bKx5yO+rPogu9KxpZ5YN6/PxBH4D 20W/48a4Px7GhuEo6vf463zzyp2ycT5D39H9bcye7eEvyEfz+dmLyn/iuuyx +7o/LsaWyM/iy3iAvAJ9xreRi6ULa3yK31f+HgfVDzZSn4ytZ2iznLxzdvlD +GPFvelk+7XvdKc79X3C1dkcP+M9vqdd2ln9rvcK8UPYeN+pc8tbfm+82Ty2 S40yf0X/fZ99U/+gv+6vfzilvosx4FR8LvMhvs0mVY54OOcbhVXxe/6K/siR y8vIB8tTmx/5XD6li81yjgF7We99NbfGxThYJ3g9+ZTbMXYlN8bPXMlpuT9e afx8XtxG/qH1v6rOXQ2Bz/MPyT8fEddlS9UIkKuSTzKgzbg3GeOfkE9zz9fk P1SdQL0bg4/JfxGT0H7cvd6b7L7a7vKze5N7bXBf7eDzanu9Z7D20apNsabE y6wPbSePnlF7XIwJueYLGsuqLxCH4DuZS/0kk+anama0xXe1q8aUvBpTa97P 5tQ6at9/2Obv+enWorO7/Owe7k2+az2KXfHF+TYVa9sVch0EWxntO7Hopqot YgfkuMVLa0+SOh6cxTqEMR7pX/FsvNQ6tI7pUDVoniGmSVeO5e/HeD276+/s kdgC+65ddI3YKF1Jb7m32B0OW+d9Fn+qfDLuRnf6Hr1Kf9V5gvwE7XU/cUA5 BHYQtxKbYDuMAR1Df9PHdJP3B7mfuCs9OdyLtx4Mz9crfm8f4Vrq842NcZvH 742b8WZP/J3+ZC+1Rf9m+YyVV7ZvwViTI21m24tXV7xlVv6ez+RZ5lvsSTu0 nQ11VhF74O98MjI8rOWcxe9xYjLC/zW/5locWbxf3RffD18WR6izaaadvVz1 BWJHbDz/Tv2c/XRq6PSfjeMP2mfHb/N3vJ1tNY9jZw3UfkP5Bm1mI+VsfFf+ hSw7F9sZEMZFvSG54M+05wn51//VULB95tRa0VdxcDEtcX1+lnWrD8abH2Zd hN8HwdZCax8rz8W3ZSfYJ362van041ruOS3m2P5uCPyerip+z67y3/FwvJ4e xIfZSNzdJZfML7BXWEwCD8H9cFc6qLhZxffpy/IrcDt5CH6+/KN8N32oHrru j8+p4efD4NNypmwAnuW57XthW37PR9EOfeAjiE1oIx2r/TiOuLVz2fS7ar/p T33CF/k92ojn0N+eR8/KR4jFmB9j4u8+x+9i44vfi5W09fmegSPbKyD+UXUB +Jf6Ajpd293fnmtt1Hd6Hv/1ef4DW2se2ILhWckbiVXze7GQ8tvENvSTX0gG Kh8h32JO69xE/eb31Z5y3FCsxBkJvkNmjJ/LffgCxrZ8RfJpLM2BeW9zT0N+ T3asRTEB7eNf6D/fxXPIgPXCfuPnVR9ftTflZ1f9O5tvjq0vbdFvcoD/imPU fbW9znI0Jj5f+Xd+XJ2NWfst+R98NT6P/QF0iH5qizFSa+/+7l3+dZ1fYVz5 5MZJ/Eosgb9grXk2X8d6JI/tmPKVPccaqXNAzQEZqfVY/N6ciU1UzMEapk/c o87nNHf8OD4bn3KZvYpBsDujzd8Xv6/34MhLs1fWn5in8zVwPLoNxvwBukg+ lE21Ltl3OhIvoRetTXZ/LH8/9DH8Tsxezp3u1iZtYW/dl42gU7SNnaRHxfGs e7aXfax9y+yDOKM4os+LMchP1vv66LOKPap5w0ntW8JR3Zctpa/LDlfen47S Duca4V942yL2ahG0++/ZDHq6zizCO5cBP4GNo3fp+ln83hzStfSzGirPNb74 qf7Nqv8un1OuGaet+kHxavyzzl4d4/fGEr+nq/F39pJN8my2xpzzXclQ7R9h y8ouzOP35rfyF55hvsi0e5IJ8XD5DnFs7WB7xZ/EOsbOvCFbalWMCb9T/IvN NWb8LjVoVYvK7lkPfDf2z3h4vnNmxBqG+w3Mr1iB2lb3Yf/5jcaEvbUP0TiI ORkXbbbHTz6erFd8nY9g/fAvzQdZNp76ypfgV/N3rS1zoU7CZ8Pvg2BrorW5 1jq/1v5gOpJ9sr7xfXWzy95zEW4/jd+39fnaQd/i4nixeiEcxefEGl1qp/xO HZH2F/fTD9yvaqtrT56Yplgs/cpXYcv5FLiqvrKXdW8Xver3xsf3cIraC8CO 8j3wm9LlQ37PP6Bb8XO/x22q/XLrxR3rvDvn8OFmdCoeQifjdPqOq2gfW+Jf /aZrjQ2drE04oecWv2/z9/KkfCi15ew2e8UG4nzi1Wyd/taexeo728SH0we2 mC1S044T6cei9Wnrxar5vbFi03FvvNQYGwNjW/sJ8VDjZ475g2ym2BF/Q2wb 9yRT4ka+Yzxq/GqO3Fd+x5ySa7LJJnt3ZOWPit/josXvfZZ9JWd8ODbYZ1rZ lD/QJzEjsYaSTXlp+QHtqj16ch5iTOaP70yW+ab13om6b+2HdG++gDgSn5lO kItyDoPagIrt1P4ba5FfxCd3f76u/QJ8aZ83Hvy1eg+Dfvsdzs7nMZ/8FPLJ PyF35G84puaIX8Of9yxyXPlE/jn/EFp+X/l7F1/O+Feeo51v81x+YLh9EPwf v693YrHLOAlOLoaoplhNEj5AR+AX4upj8f46i47dotfYON+hh3B+NoX9Fx+c V59PZ9Il9F+dP1N556r/q6vWPrtB94uximvSb1Wv7F64FI4khl/1cLi6i71g z6uuSn2Te3jXCa7m98amvuNf/6/ns7nyqHLU7TsG1oMxfs+noYfrTJJFL/qc H7RI/t7P5ti8kQlj47NipuzUvHePeJYYRO1nYCv4eWLA/JSq9xzL38vHmG9n v+LBvl/zW/PuXzEifFmtRZ2h03Lkafl78QL3F39i6+VOxHaG9/dZ9k1uiJ9J joa+Lp9D7LtsFV+QbLftHbvkaLTf2nB/Y9qe91S1mNaeeJVxMYbiWtaiOAIf 1O/qnuUTs521x7+Nrxt/Y1l1p9VPfa/3PVaNmzbxBcPvg2DrobW5bA09wV7z sdkmekI+m4+/lvuO1SmNXS3krlt+76JT2BvcqvbEVry9zh2ts+bFael+err2 vsmR1/foNDxDvk4sgP7G7f2ufdf58CreLn+I34gh02vyjfgduzHG7+lWuhJ/ ZAfp0aoJHJ6X6l/8wndxZ/FstgmH5AvVufXt9/A2Nrx4JzurXcXvqz6/6hfM pTllK9kO7RIbkKOuGrOxvvOt8CS5Yn4RuyYXId6Bb846m3iVWDW/57+xZ+RE frjOTB87i9YawTeNqZyAuL18Nf5Z5+2MyU6dZye3bLzNT/lg5rWtLSl+X/vv zRE5kiOq8yKHMuBfv9c264TcmJ86x47MaQP5kY/A+8s3Ib/axUf0mWEf/F9s nw8sd6ff7skH4xf5DlT7rS9+jrP45bJqzyr/k8/Wvne+1ot+mVPyxJ8nX8YY 7679h2MySV75TbgEWZdrU2fQ1kUM6/PrvEzP0Cacperwx84KDr8PgvH8ffF7 vMM6lLcVv2Sv/ex3YzXFw3fL1zn84pN0AX5P57Xn643xe2uVTqbfxDHpcLFQ 32EXrHc5V7lWl5/ZU1yEnsFF8Xh9ElegH+lR+kt8nY30GXameDodg5/RVfID OJScLLtIn+t7+QZ8KHpW/EL+VBvE4HFSMf46S3e9GJ6fr/90PA5GbzuHwPPw dv/WNfy/q94VKu5SnHsRfm/e2auSCc+dx+/ZjuL3xgx/xNXn8XtygVOLU9cZ OJ5PLs0L38B4a4uxoO99Xo1d+QltXfqQ37s8S6xY23wXjy1Z8i/ZImPkoc5z wY+NdVvPyLbzD8Sv7c8gf3UWj3t4pjbj8J7j/vpBxsgN2bM+xK2sD7F641Z2 qeX3de6N75p/tQXsu2cYE8/hu2qnuTS27sVW8pvVotQeP210H23RJt+tMSDD 8jzWpTHO/vsg2HoY8nt541n8flFfd5X8nq7hs7NVuN00m8Hu64N6L3a+zuah 3+QBq0a9ziNhy+Qy8Su6rt6v5TN8GXyNHXBPf8Oh+TfupVar9uTxQ/Bx969z XIf8nn2hE+l4+cexc4WBvWRr9FX/6czak4jr1Jm0w3GrOjk+Bp/DM11Dfu+5 fCG5BnqbPZB/UONt3PElPsfYVefBqJ2zT4ztkasRH1HXYMwqzmLspt2nvXyu uNWiWDW/Z5vqjHp+XcXHx+Szzs3nC8rH+zyZ0JeSLfbS/7XFeJId40/e2NU6 i5nNZn/Ja53/M8bv+Q5yCeJK/M9pZx24h++qEWCX60x9sSH91S88XY2LswPI rzXCdtv/px1kgxyQZfKu/cZLX8TO3Mea4U/47PCMqOLT6kD4MvUeB/zeumnf lVF1tXwh/MAc8nfMidiAvDp58+xp8lPndaorqb02FXPCE8p/afk9H1Keg46Q p7NWx/aJtvUoQXBCx9j5esXl6H88D2/FU/we96q6tqF+r/O37ftiI+kJvEO+ 2e/ZI7XAlUud9n48Oo0eYi/xH9yeXcLN1OaIW9o7YD8Qvef+eLDYA7+gzo3F zcQI6XU6hf5jT+QF6lwBdoIu0y66hB1kA3xHm9ltdQzaQl/LLdDf7BPexA5r Ax+r3ufZ+jJr8a3q88P991VbUOcJiaEY33mXz4l38Ldqn5drGX4vtrxo/p5u poOX5fd1potnaq+Ys7k2J8ZYzIAM2TNOLursVHWQ4uTte4qG/L7OMGIjyDIO K56NW7s/OfSv8ZZPcU8y5/7GWqyHTYKqyyd/8un4MZkj88az7qnN1orLz3IG 1oazbHynalGtNc+vsQFyRKaK31ftJpkld9ak8TTO7i0PxJesvXHGVhvUN/Dn 6iwi/yfL2uKZvi8GwLaKqbDp9f4hzwy/D4KthWF9fp3pRkezE7gIPbNM/n5e 3mueHRvW5+Mg9L8cOZ4067l0Nu5Br9F1dW69GIW8bO0VrjPs8B360ffYKlyD 7hRvFdtmo9xPva+Ytppke5PEYOlQ8XztlG+Yxe+1RR/YnTZ2PASdK+7Np5AH YJd8z/31fdq4uZ++0MHskefxjVp+z5byXfgkdLc5ZpPYdHYGd5PDd/l5ePm9 fEzFeevsdlyRfdBnY6o+G5fl97T3HN5brllNuLE2JovyqFXze74Q2+n/+jd2 Vm3xfePMN/Uc4208jWvVdRpnvoL7mEexI7bd/LGL/D52sN4dbezMR+W4xvi9 /pkvn2vf09DKPdTeejUF7DRfVAyeX2EPAF9YO93fXgx+CTlhz/kCYlbyFXWO AHmvc4iNOW5OPvXbZc2MvR+x+H3l74vf84f4Oq3PV2dVe5axqTPxcQPxDOM4 Tx7JkfZWzK3qQ/naFUPig7b8nu/rGXyd4TsKgyD4U4zxe7qs+D29L4aHn1lf eJW4G3s+PCfeuqRXxBXlA615Oq7OoREHx1XZsPad80N+X9zJWq5cKl0mpun3 eFbFrK3zigeKUardw2N8hx2rOr/ay+bz1Sf6iy9SbWFn+Q0Vn/b52p/Eh8I3 7Reiv+kc/aSn6G8+xti78eblPWah5ffqDKrWoPYi1FXvvB272s/h9DhuxQq2 Gr/XLn4VOTTX4jZkkw02J8aZXTEXeLtxYev0Aw8mS7V/a8jvtcH4sVtq7XB7 8kIW6ix9dlAcnF9IjsSU68xWvhvfR9/JBt+ZDOH+1gu+7pxHbRAzrza7r4us ki22XI2pdVRnAohJ8WXJcK2p4vfy6cXvzR//iNxZU8ay1kC9G6/ONjB/9t6R cfJd78Tgv6ppLTn3/TpDQJ5CvkqbSk7C74Ng62BoS6xhfIueqxrv2n9Pd671 vmO/n4Uhv8c/5DnF4empWc8tfq9OruqycFz7nvD7Yd68dBx7QNfipTgNvwQf s79IvIMPQ+ep6cW76X72k24T68Z5a1/XGL+nN/kP7t2+23UI91CzKD+OG/GT 9KXOmxnrM1QeFKfRTnqXTVB/Ufze/MqHahdbY3yqzo1eNu+4nT3ozl/BE/3r 8jt/8xn2lN3jF+mbfIaYNR/DJQbN3vuO+LlagfZyH5f72xeA25GvYcxjmqxs BL/nE7KFauvG/C6/G75DvuJEfDq23j35lMYCl2T31W6KwZtPciK/pM3s4aL8 Xi6Mv1RcdEwGqg6w+D0/w9zymfgz/O/iseRI3EH9qTgAX4Asm0tjSWbkcsTo +SHmjJ/hHsP3AY2tcT6NugZyWPyevBiXIb+3FvhW4mZ8N58lu8ZK+8gbGWrl sC6/d5El3IDO0od6R3XtyTHfLb83/nwRcQ8+aNU6BkEwHdP4vbon8UNrTX6Q 3qDn8AX6nU6t92iCteaz6nOqXpnOodN9lp2mb+iDafy+dGWdk4sT0h30l1y/ /Tm172aot613XI3NppflqWsPEV+nzuKl4+ires9t7fums/G9erdYqzvcG7fj N6ihor/5C/QU36Jix7PyHmvZDzTG79m1Or9Au/276MW262/dZ1l+z0dwvsBG 8Xv2ylzzC+UmtKGtuys/jL9Dzuj6qnevOnd+Zn1uyO/dX3yG7ZS/rneutvfX dvIndk8m+Goudo+sFm/nG4hVGxN2la0i3/yY9rz99qp8Dd5ujbBp5pKNY49L RmHI7/mk7K4x9RzPH7PX5fNbu3xc4yMfwPaaT/mtyvG37bImPE/tgriGtUNO wu+DYOtgqFPoL7lU+9jECXFjsXVrfZnz84f3bn/X8unKndcZH/XZ4fvx6DZ2 GMddFb/XDv2lq+hK+Ub2vs5T8bw627T2RLFf/Ba2ss71X5Tft+9rHZ7f2oKd ZnvUGtd7uul3NnAWvx+riy5+X+fnG/Pae29M3J/tZif5NvKf4hfsq/l3+dml PS4xW3y+9pDVO43EENxb3aExdC/PNnbGsL0829+MqWfwheqMuTEZGmIj+L2Y ujg9/2We78XG1Xtu9Bc/Fw/iy+Kk8tBy49VHNpDs8JHIZJ3FvCi/5y/h2Tjz 2PuUZvF7z2D3i99DcWpt5osYR36PdeYyp2IK7L24B5/K5/gVZLrq+6xF7Rm+ Q3oZfm+98iP4v2TK2JhT64yckTdyV3LYymJdZJb8+k7FxMSv+F3aWPyezIhn FL/ni9S+kvD7IJiNWfye7mXX1D1bZ3Q83SG2iQtbg7XG6Dq8CJemW/AotlE8 Toy95XJVnz/k98Wv1O/QHXQYG8tms29sRMUzh1fZfr6OOAC+h9Pi4WyCmF/V JtEfVUvQvpdN3rb4Xgttkt9U/1/8nl4Tm8Tvl9mHtgyG/L7q89lftthebLp0 7PJ3l599zs90LxvQngm4lfg9n0pfxYXrPW8tD23bVz5tvfuHbIr1Vtyp5fcV I2YjjAdfbOzMfSg5IvNyQXJhZJVNkq/nx7KP5JBcex7Z8HlxhzbmNYRnyRvw ZcXLqh6T/eIvyavXPLT1+eS4zqsyX543Fr+uceJTqinlL/Pn3J8vVe/cad8N W/cwXnxpNRPq/aoeMfw+CLYOhnaveKn1rv6az4/38Ovp9VnvMp1379a2ewZd h+vio2IHdFnZgiG/p9vwbXFY/GDWMxfl92y3mCzbwvaK+eNjeBH7pO94Ixtt DPA0toXdYwPYeVwEv8flFuH3+kAPD2uaq+1w+HFnD3hOxWHpd3kR95w1zuyF ejT8nq2s+vyW37Nj9p/xz8SocXz5C34RH8r55er1xy422CUGzSdiL110vPg0 HwNvZh/qjJY6c3Xs8jf2Fg8sjjvWryFWze/rLHVygK8Pa/OH/2ezySwfRB0m P6DOw2HjqsacrSQ77D5fxJz6P5nkgy3L762VtfL7qs+HOgPPfFkr/HUyRlar VhbPN0f8O/JLnvBn/iIZ4L/WuYLtWT9tnKmtz5/G780FH0QugCzUuwz4J2SL THreUA6Hskkm+aa+41/+Za2Zsfy9ZxW/b8/JD4JgHPP4PdvHfrE34rb0YdW8 4xHFbd2HP6EGhz6kV9wDp6Af8Dpcrurzx/bft++ZUdvkHvgsfepz9NtYXrTl +PSCZ9KPbAi9Z+8dnwC30U42vWoJit/rkxq1sTq84vdqt1p+TyeLYw75fXHE OqtFvnTaVX8f2xdFl9Ovxe/pXLafXTQf+CaOax+Ty8/O6qnf+dclRuA+fD48 Wx6fvtxq/F67nBuk1rF8xzF/07/4L9+RT8vXYQPE4flK9Q4XfhGfovi98SNL 6i3rPPxpV+Vk+IGVU3GWAx/XXJVd95w6u7hiVFXDTxY9h5/mfvW+InMi3lIx B7Ewtrd9H/Mwf8+vklPQH3MzbR+I34s7kG/xcGOq/9ru/hV/GBvXsttqHutd W+H3QbB1MGbz2EW+OXtLp7ObbIS9xGUz13Lv0gvugYPIHbIX7F7VZ9c53GP8 nm5eJb9nJ8XpnUXm72xLvQvEd9gBthK/wF/ZA/4IjqC+Cg+iyxfl93jOPH7v Kv/I91p+r+67+P202og2f68/ZePr/XhsWcvv3R+PM864rVwG+87el+0fu+pv /nVvfbevQ/vkU3Bevk3VlLEbxtTl5/p/ncurf8Zl7KyhrcLv27bwVc0HH4Yd 1RdjWX4Heydewg9kc9W+qSHnM+G8ZIs9NEeL8nt1/uvl9+1361n8WHkl8Rnn 8BgT+Sn98t3ai1nvfKpzh8S7jLm2t3Ula+H36ln5wzi3Z/DT1dcbAzLpe9Pk cCin5NG/Yg9yHLWvsc7Xq3MzPKvqivMevCCYj3n83tphZ9TN4GtsgFymeDW+ UnwEH8Or8XJ8RZ5fTtJ5GvTRIvyeDvEseouNpme0ha1WO9Ty6Gm8THtwFLFT dog+xqVwNbyH7hh7L9sq+b1n0Pf0qHyoPYj1b/1c/8dl+UB0Kx+p9SNafq82 TB6XDmXPcXLjz27WxQ+gE/3bXj7n92KjzjSQ51j2/Pxdwe/JhFyEdrY1ZGMX G4Onkw22t+xu+ZPD+nwyx47zo8hSvcNw2v3JIR9IbFn76/1zZJysFyqWg4+b L+PGXzKf+kGWcW1z5swr/oI2iHXLJbHD1gvZmsXvtUEcXj2huR6i9ffNtblj n9lFdt/e+qpZGFtDYMzVIbCp1i+/IPw+CLYOxnQVXYer1Xu66Xd6lG7FPds1 v+z9691vuBHbTqfQiWqb2L46z3Qj+X3tq2tr8/gG+il2Ke/Al7Dfnu5iM53r p83iveIc6grZIDZ01fxe3ZbnsXdsTL1Drd1/P43ft/vvqz6/5ffGxtjqU7XL /dk6voMx4b/Nsv/D3/tZXT6/jK32ffcXA+EHqVXHF4eXv5Er+RLxhmHt4iyu tVn8Hir3RGb5GuTGPbSFL6u/uLjzauRM2Gx+KdlRr0KmfJa93lX8Xt1e8fvy a+uMaH6GWlnf45fyg6wLcXlyxEeUD7cWxbSMtTVlbTkfg29QdY5t/n7R+nz+ rfGUM7D+qjbf+lMDS7bI1DQ5HMpi/Z+c88vq3b7t+fnT+H0QBNMxb/+9NcQO qMf3O/VLfH/xTfqvuE6dWafuqc66V2dd56yyo+L/s87Xo+vqPTPypfQpPUlv 4JUt756mz+kGfkfFo9lD7WVb6nzxVfH7sfr8yv2KUbKFOBmfy9i66ENX/exf epQ+V2OpfXW/4fn5ZVvY9XqnrjEbu+g/V/lGxph9ZHPoe3Ow1fh9zQPbWWcV juWrqk6D34V7ahufzTjJY7ATY/yefRMPkAOqvSXTLu1Uo8JOVk7GfNb+sJpr 7WRzrRV98TzrRP2ZefVsXJ6NIjvG3L3w+nrPot9Py99XfX69i9k+SWtqiFoP xpbPZK7EDawhtYb2t/D1a39/+5123thUz9DuvB8vCLYWpvFE/n69Z40vX+/l oEvbeOSyz8Avar8cWyZPJw8ot9m+M3Qj+T0fhQ+iL3QRLkEn6isbhZewwzgk P4RdwavpUHre/9ke9cB076r4fYF/o2aYf6B2EQ/h2+CJra1o561smbnhA+HP +jR2fr5++IycOduN3+NheJ3+lZ2fd5VPUJ+vmjPP8Cw2nw1yyaPirO3ld/7G j+KbVB3bGKceYqP4vfoM7ZrF9fTN/JsTPgYZZsuNMf7N/+ED1z5ScmBeXLUP 0BkE8uHL8Pu11ucPz9fzHHLEB5UXkucmk8a06kC1mw4wFtYrP018iw8uJ185 8DrDh+zXOx+X5ffabKysFWuKv8/XUC/DD6p3Eywjj61Mao97DPffh98HwXKY x+/pf3qcLZc7pOfoLjFPeobu9Bl6RW6S/vZ9dlF+mp2l34b8fmz/fb0HRM0R Xon/1LntdF3x7jHO1+YbtJUdqHNGcSrnsLBNdPZG83vjyf9h6z3f52ddxkNc VZtqfzSM8Xs+k7wAmz8LQ3trbMU92FTzs1X5PT9HLGnaGXXF78snJKf0vjby O/mE4sdr4fftuGmnOIoad/Vn8jLyVvVO5oqpmyPtFcsmQ3yz8j/5A3WeU70T Wv2je5ELey78flZ9fvF7/iZ7K28y671Xxlbcrd49oe38cr4333fafsmy8aUL xJ7C74Ng62AWj8JJ5M6cOVp70eW1+fdidrPOBZn2LHq2ctPy43VOqz3JdATu U/HCjeT3te9YDZ4+0aM4mjooHBcHmnYGjt+zM87bqXdxjfH7OmNgLfze2OJo 4qJsmfGX52C7tXva/og6K1Y71CSwC0N+zx6wp3wxZwjigMbIPrZ6v9/wPUZj 8JnKs7hwwll9WhS7mt/b870svyf/cvfsoLkvv4dPaRymfdfYa7d8kxj5svn7 VfB7a8P8+4wcPV+YD8OvwccrxtLet/LffG9jQw7JC3mueH+9X6N48qL8vu7P P6Fv1BcaT+tRHEHN4ti7s9v2Feo9BmS4ztRr4w3J3wfB+rAIv7cO2VlnzovX Wc/sbL0T3Fqjp8XvcBXct/RnxfKsX/y+PV9vWJ/vc9a0WmI1xdpSa7rN3w85 fXvePb2Cc7OFuHi9Y1zsYT35e/1jW4b1+WP8Xp7Uu0rxQRzfmPje8PJ7XBCX 4kfIF9N3Lb/HJzeD3xurzeb3s/Lr5RO2+XvnsYq1L5q/Hxun+lfbKn+PI9fe CH6iv9V5dGLk6mL5c+bavNYZPeIN5k7ffZdfwAbKHVTsx9jMqs8f5u/x+7H8 fcHYWnfGxfwal+L3w3dajvF7/oz1p64v/D4Itg5mcanimNY5G02nqBuS88WL rd96F+i8972w9+LM9KcYvZovdoAOrfN16Xd+f9nK4fvxVsnv8Xd+hr7Rge6P H+IWatvrnTctat8U/uzscDq63gvSnp+PW6wlf9/+TKey1fwbep49wmPFbMVa 2zNNC/5Px/Ox2Cj9ZQs8tz1fz721DX9UP66uEffSF7abz2Lsh/Gbml/f9xw8 D/fSRnaYPLDF7TsQNhLr5fdkxF5PPpjvLsPv/d3nKmfELqpld78hP4Y604LM kd/ac8ofJRN8FHGlkomN4vd1vp651QecnD+iH/IO1ofn8mWGta3tewDx8Kr9 IGP8LfJVvvuy/L7Gx9zZg6vPYlN8HXNM5sluWyvYjq1nkT17itQj0E9yKXxp slqfWYTfz4opBcEJHYvwexc9Yy8SvWO9yePjf3QT/cwG2pcltorXiGVbnxUb H+P3Y/X5uDGdwk+gi+qdl/bQzdqPXVftRdxnn316nUzvsIn6J+9Z9Xpj/J4e bPl93XMav5+Wvxc31S+6STvEPdgyl30Nrvo/G8BO092eUe+Dg/Xk74dYC7/n T6yH36tRZysW5ff1vuGqzx/6U60uJzPkkWzoB3vE5vHZ5D20sXwK8ZPKnctr k6Uhv6+fC+yT9uLteC65ZiPtoWDvzJP7iCOJh8uX8X21wRrh24nxaI8YAB9T 3ZzaknqHZL3veFF+b81Nq88vkB3zzO5qj7Zbj/b+s+dlc8dsY9XEeUby90Gw fWDds8PskfUrx0738onFme1Xw13pHzyWHqAj24tOLt+b7Zf7Z6PpJ/qnzrqV z2ebWpuxUfweP8clxCbkL+Xdaw86nsUW6o+2tP2gy9QQ42G4nNiv+9Z5Y9pp PNbC78fyC/S1uLQ9EeV3eIa54I+wN+2YyzOYC2OsroBtV89lnPXdXovi955R 5xKJmRsjFx3teTiSvg7n0/P0ie4WF/Zd32Gj+Bu44Uby+/a+bDF/SFyi+H3V c5PbMZ7W/m499flsGu4ttmCMPRtn5z/w1SqGUrLDtvOJxfeNb53PW+/HK1+x 4kqL8Ptp/uoi/L7OzLXurEeyb11bi/yneo/wcP7rLGnyUe/65aeQab8r3l78 fni+njUzVp8P+syflk+xT4Yf43u+Y71ZMxU/GrZJzM5a4T87/8CYqQeWO+H/ 154R/MGYht8Hwdowi99XTXzpIXaCnyD3SOfRSXQuGyz+Jh9P9+Cj9AKbXDHk lt/TldPO12PT1P1b72Pn6w3rqIf8rD1fz7lr2qP2jR6sXIBnLJK/L9u9bH1+ vUPdd7Qbt6M7h5e/yT/4GScrez7k99q5Cn6vrcvw+9onUfaKTZT7Hp6ZOwR7 xq9blt+3MjH2nsIWfAI2Fl9XA0H3y+fw5ypfMuT3fC4c3XhXzmCafSDTfD3t 1n4yjzNbE+wde6ueRb6GjPE59FfMS2xDHITN9zk+RPl3+mUe5MR8bx6/r/P1 5vH76oMxk3ezno2r7/Frhufrja0f88ZXsg8n+++DYHuhrZtlM+lEa1h80HoW U5S3Y3PofHqC7a9zWul8XNT3iw/iQlVnVO8gpb/qfJTCevm9Nk3L37On7oGT 4PTsoM+IYfD/fZfu1A8XviM369lstFy9+/Jt2FEc33ede0rPr4XfDy+605iK idPTvk934lW4OruhXdpn3NkHtl2+lB22l4udrXFu+T2wH77DXrNF7u8SW5Z3 EENmb8xjnblnTIwN3a+mQ3vcX14Wv9eOYV3BKtHalrH8PX5f+fuhHR62aT38 nmw6l0dsiCybV/XqxoAvQO5rzMyRs+Fxae0zvmw02TE/fEW+KV9xyO/rvLlp /H5sv+E8fl+5fz6NGJh4Q/lvfDO22T4N8o4P13r2r7Ny5UrUrvLJ5Tf4reSF PLbvo5rG78noGL/3ndoT5FxG/SVb1pn1Zq7FT/TN3NcZkGJa6kisS7rCs8ix PIq1x+et9iR/HwTrw6L8np2xVtkK69eaw63U77E79Xtcq33v7TL8vnIQeC/+ o86ZrqOLK9Y+PB+sXd/0bMUH8HXfxfHpSs+p82J9ptoyj9+vJX/v/74jRs/f qrNaxi5/r3OAhmfKbRa/146xfRLqMtmAsRrv9rs4rX0F4rr1TlZx2nn8nk3x OXHcWfsKqzaeTPBB9YPfUPGmOnu/5fdkTp99np9Ye+jHcgZV2y+3wsaJC/D5 5MDds866ceaU8al30OH/bDCf0dySgcrZ1LySCT6XWhdrQLtWxe/rkuvhn4g3 +K46XTF1MlznDgy/U2c9qUkgE+Q85+cHwfZB2Vq6q7gjvYQP4fjqeewNYgP4 /OJ4+KiYpFguX5oOFccVE6cDfM+/9uOpSWIj6e2h3tyI/D39S8/TieLypXPp Qe3ia8hFq4ej5/XFhWc5b4e9Us/MNrAR7Ly24ffFXeQg1lqf315lz/BsvpOx 9v3KTdLv2mWsjbv/u7e+0LGex85W/r6tz4eqbfReQhzPniv3l5MVq/BMY2Cf uWcYB3X/xob/xF8xBmoZ/Q4vY8c2khstwu8rf1+fb7/bouX3y9bn19mM6g+N g3EzP/xP9XdiRLUG/MxWsrtk3jPq3fIVK+NDkOs696HN38/i92vJ3xe/r3dU ivvIKdS7o8mBuB15b9ezf61xbVAfwgdwVc6/zihqfdxhff60/H2NdZ0LULpG vMEaq/MnzC+dYly1x7/OpSK/uILP6QedYR7xCD5I8XuxlvD7IFg7FqnPL//f OpebxE3YfHbF+mOL6CPrm22iV+Sja0/YNH4/rM8vO0lfs1NsEU4mXk2v05V4 z9h6Lh0l9kpX4l2Vd6U7xDeLb43l7+UFhvX5hWX5fY3X8CpbMPx//W6o+zeT 36s/UHvF1xHz5iOyI8ao3UMwbLN2yfHjuuSBXl6U37vYf/NlHlsu2o4vf8B8 8hfIm7aJJTgjnizXmPJzi99rhxxJ7WFnj6v2sYXvub89ZGy/eTbu/GJxI74C /mwOxLrVu+kfG8W/5ce4bzun1e6qaWMz1QUsu/9+UX4vhsBfFlfnC7GLfEn1 nfU+6aFt9Ds+uthK1eGULgi/D4LtgbZ+jK3m9/O16XochS6jE/jWLr93+Zme cNGnfHyfxwnYe7yCTqa/x+Kuq+D3Pl/vX2f7i99XTRu7LffHN9EuetFz8Bzt rr5Uf1x8Ghyfr8FfodfwNLzI/dmLafyeX4APLcLvy3cxDuwc21DnrLpPjXm1 r8aavWOT5CGm7b9v6wjFztlg9lVOVn88gx1yv+EzPNfzzSlOJT6inpANW8X5 erMwi99rjxxOnXFXnx9+vzDM37Plxe/H3o/XwhhaD+rtyFjtnzBu02SHn0dG 1D2wh34ma+QTXxY/Jy9l6/msfOF5++/H+D1fZPh+PPGFlt/XmcJ8NetMjMEz tIkMsNNja9pY6aN2kUl5F21tzx0Y4/f8Q/6Guoeqsx/OSbXJ3Fbcid9N3krm 2jaVjtEe46jN4oi4h7nlW1XMYdHz88Pvg2A6FuX3LrzO7/BcvNmFf9hjbo8f velfOoE+Ld47i9/LBxS/B8+pd+1VbTR9Qw+4L24z5l/4HV9ArRJ9TIfgT2KQ 6vyKd7kqf+9vw33fY2f1FL9nW/RxFr8vjOmeaTHc4Wc3m9/Xub78FHakfBR+ kvbII4ydx8xWkSV1j8bTHPClFuX3ZM93fLdqtYZx46EPVWdF49/1zpfi0u35 etrg/j5f9Rzs83Du6ow58if/bcxrjwg/jyxot7oVnNnYaDufsM6sGYN+qNO3 70xcm/xoT52fb02187CW/fclN/qgzrb24Fs/vit2To4rRt7KZr3jyXfa/Ybh 90GwPTDkDXQh3iyvRz9a1/QffUCf2Ivcvsel9n/7O9vg3A7c3r53ugnHmnYu NpugvokepNP47/QjW1XviJvWZvafrhNjl7tnm9RFO78Eny17T6/R6XSze/M/ fF6dEV2lD/7F/Sp3zpbov1g1P8W5odon9ow7qBcuv4B+Ft/kFxgHPorcO53d ntc9zaYD+4CviTWznfS8sdCmGm/tpdO1hQ1TLyH24Hn4HXsoBlznuNZz6iwj Y+IcGPFn3zOnxoGtrXGo5+CxOL57svX2r1WMZqO5UTs25k3ehwzyy9hV/Zaz HeP3w3Ele+JL9oey9/pq/p2bSDbHatLa37FvbCKZkv8WTxmuAXUdZM/9xZdw bDX85Jr9x/n93Vji2PwQcmFNiDGQp+L3uKh6AbGUafweit+rGRAPKt/YujM2 fO5C1beqYyHT/DFt4pvV+3iqL1ULUutAbYwYHR/QeA/P47O2tJV/Wf6GmIZ1 0/L7tg/VJjLPZ+KzqZkxdrh9nWXZrs3yt8ms+ghjxu/Qr/Z8raoNIDPGRf/I sZyFccn5+UEwH8vwezaBHlNnZg37nBiydcqO+T972r43Dxatzy/UXiP2iw0U n3R/+WM6io2SI9Y+l/WOm/NDcBE2xHfofzFFMYQ661db/Cz+inPSQWyq2LZ6 dPFWOlCMofwZY+RstDqDlR2gv+lg/BT3oYv0cd4+vTEeP+3aLH5vnNgA8Vyf F1f2eTkTezLofHNAL7M1+m8+zCW/hM1VE2iMKke9CL83rvpoLrTL3+zhMsee 43l8LWNinuUCyhaLf/t7vet5yO/ZK7aG3WEXzaX2kLO6PznSB/EgsuZ75IjP quZN3Nt9PUN/1auSsRobssbGqXF3T+NS8qnd+sM/qb1wbB6/j69B1vmaFTdZ D79ni/nbnieG5v7sqX4bD+tTfYL2ufxMpvSRj131cPyF8Psg2B5obUe9jwbH p6voAvXD6oTYdnrBfmS6F5/1r//7vfXuc+pp5eXs46XzhnHv1r9m751H5rv0 pTg/ncyGzLJV7oH/yN+pNRDT50+wrWUvilvUHiI8TS5WfJ2eVp9Ap+oH24FX 08XyqT5H/9Kt9B7O5f70HN5WNVPsUb2LHodwH32ofU1l1+fZ7joXHxd1Lrgx wBPFio2vdmqv39HFYtJspvgLLsbe+KxxH75nrJ5hvPhs2oqvsh3ssu+pY/MM dRR4LF7q72rW1D6wC5XDGMuXr5IzteNSORvxDG2zr0LNNt+jOOysfKw+48Fq LvgW4hp8ITF1YzGv3eaPLPER5InE09VmkIVaA2RP3Ej8XdvIizpBc8m3NJYl m3IYavHY66rLM9/y3+w0GWRP+Y2z3k1ZtQXiBfxhMkI+yIZ1h+e2Y1NnVPFT +WF8LWtOHEr7zb2xcQ99EUPBoeW9tKVqDoZzRCb8nbz6rnbU/tsxOWx/rrgD /8g5XPQGv9Fcy8tZS9pFNvVRDEAeQQxMTEF/hmdnaw9Z5evRSSXPuIdx2eja kyDYHbAovwf/WnN0qrVa57jW+7lxJ7rGmq06+ooLLMPvKxcvRk0/4dTi0NpF d9Fb2qe+iy5my+n62v8vnikeQD/xEbS5dBo9grt6rphmxYJxUXrNffkF9Fq9 H5QuUSskluv5uI+YgDgCvYqL4oT8qKH+rHEb4/fT/rbZ/L7sSO1Bp1v1uWqk /J9fxVeqdwEYN2NBn7N/xrb2pi/K76tWnZ1SF+debIQ6N8/xr//X3i1yZL5x 4HpfUzvPLb/3WffHw82zGjvP0Fb3ldsha/w+9ZHqCMgR/k7G7JmvvLexErtn 492DTyZ/4rNsEP+QbBoX3zU25s24tfH2yt+bB/3jt5Y9X/b9eEO/05ri0/JT 2Fa+o+eSWW303oGaO88wd3wuY87X8VnxlvD7INg+GNoQ+pAuoBvZE+eq4Cy4 Hj6CV7BdfG0cxv5xXNvn5InrzJppNWoF/j19g+PjzbiHuDpdVTptWnvr/XLq zn2PfyH+zl4Na/u0A9fTH/pd/ABH9h39wCHZAlyFjvY59/Ad//cMNlXf6Ve8 k32vOD47bx+TPsglGKd63+o0u12xFPmAOk9HLYDYijbyo9hs46uduJaYKv8C txHDrrpo9o890q86/2w41vU89sgc4VViGPwl9lS7jYNn+r3cA3/K59s4xTR+ vyre1N7Ls8XQ9Z2smYPidrPe6VIoH1Ls3DiaH7EbfJ3PNa/NldshC2JRxsy4 s+HaQ3aMnTwR/kgeyb454C+SC+NpbD1XO9o9Dj4rDuBvfGlt1D/jPut9Q+TO d82T51uP4j3a5v7lz7T23e/ImrGTN7de5VvkFrRP/IIMk29riP9rHejLNDnW Dm21PnxfO/hrfMPhmVTDOa5++Jy5sF6MIRnG98midumf9WScSvbpjbFakjZO pqbGHLmPPhmXaXVEQRD8H4rfiwPz/cunH+P3YG2xp7g53iEniqfIQ9onU+8V rfePwbL8vmLUbCM9KbaNQ3kWXorn4pnykvgdrufvODe+hJuJ8dIJ4vPuX6h6 InZBLlWbh3VDOLz8Bf3su3QiO6rfFWcXE9AP8QGcEc/jmxjLWf7MMhi+H08f l+H3rc6cxu+HdeHtd6sO3TP12fi7jLMxNv78kZoD9xW7FjOoXIy5WpTfy2n7 Gc/Gu9WWu6d2eoZ/PdfzyZt/5YpwXvPcxnSH/L7Ozxd/J9t4rBhQ7b3TD/9q b+3VN7e4MHsrxl52uvbot/UNxkU/yZA2l2zW2f4VA8Cba7z833f8nU/HllUu Y4zf493z+H2h9pPydcW5xBWMsbiC+3mmdminujc/i5uIlfm88TAG0/j9qn3B IAg2FhW3LT+cfZF3pE/8i+vipf6+7HvT6p1vOIL70Zf0e51BNq9dte/J97SF vXW/ad8tnkMP80l8z3P1Qd/G3r/CxuE5+I7L89ozxGs/sWez49qBg9T5aMPn 16XtOA2fAs/iN+CP2uFvxsBztc09jZF2s1furYas9nqJEatLEOsde3/4EC1v NXfarm+eVbGNsXNmdjW0gU0jc+ZJG7V3bD/kGLS/3vdnrGuuceNFxmnsXhUf qTWgbdo4bFP5jCWfNbZt/KXqP/wN5y5OTQ5njX21RT/0S1uW+W6tZ+0WT9I+ 3ye31s8y4zu2BqtufhlU/Ml3+XvGxD3dz/zV+cfz2tOOacnMIuMSBMGxsFas Hblp9c54Ct+fnz/G7+kMsUb1NVX3rI6XbVL/K8ZGT7U1SS2/x1XxMp+XMxzj 91B5dnYOb5ZvxM3sCcSNcDVcpXie38kX45Hqf+o8IPpkuHfI/+kvsVv5YDYV /8K1aj+0HKz8Ax1V9UfGQ42jPKe4gBiFNnh+1U6Llbf7rdaD4vfiDWIo+Ka8 +Hry9/LU5he3xOmG57rVGFUOGPcXz1WbpmbDnON8vm+s8GZjb7+k+kC8XsxW u/1fm8VB1DqKKQ/5vdis/tV7a8RJzB1ZwW3lrD3PfHtmvWdeLtzcGXO1anyF Voba8/Xs8ShuLVZBntTOqUHQbvzW36tGRB/FJvBabREfJ4vDGPrhx51nLEdP NtWZkKOKD1Sf8H/9EFMgm8ZIXMAzxCtc+iJ2Tl6h+D051G5jiN/bQ0J2xzCW UzIGciZqNMUq9Bent/7qrF7xKXPl7CVrwr9ifea3zrQZy9+H4wfB9kPph3rf d13tez5Wcc9l3r1WOcRhWxZ55tj3xp67yDOqDzhX++6TWaCr5XPVJdPXYrXi sPR3vd/P8+hjfpF/+Qjsn5w2W8QvYoPsNZNrobdn5X2H/RqOfzsOW0E/r1c+ 6h7D+Vvr+/3G2rOo7NRzhzmptfZvvf0aroO2fesd30ViA/PaNCaTy9xjPTIT BCdk1D6Xej8o/oTny+viNcP1WOe74Az2L9X54s7iwPnZubF6+9rzXmeb4Dz2 oKlDGuP3pWv8DZ8R48YZ7TeyH0cbcTHtxavsd7IfWnxB/FyfxM3H8hD+r74A d8Vn8DM12zi7PQa4mHvhjZX71xb22O/YX/llfKtyy/qlfeKUs/ZbLYN6B7t7 G2NxCJxT3KHOpFkUfBU8vt4toM18CeeXiEmMvRe9HX/7x9VD4IlqGIw/Xmz+ cXJ1G+ob1EWKt4rbyANrM/7vXAZxCTy8dD6ZwI/r3bx4Jv+IX1TnP9snrxZD m3FOnFjsSQ0cPixWbiyGvlDticOHybX+ur+adHl3sQ776/RHrT5Or0/G2mfw enIkVlU1HMO6NmPGfyMTPq8mX/vkyus8Y7J0gxvcoI8zGB85HvsI1Wf6nfoD Yyh/Yyzcz73FrX1GW7S79s+r79SmMYzt8SCL8lvWsuebf+vWHgRxErEVcRTr X/xKXZ2fxXKsBWOiHkNNzjS/J/Y2CIITKtgx+xrEwKsmiv4UJ+XfyJ/QwXKq Ljoef+fT2D8lX0DX4vdsET3dnl8UBEEQBMuizpNnn9Sry6njWHKc9uAN+X3l suXw2SYc3XdwZHaJLRtyLf/HV9gz/EIOGudpzx+ZVv/meVVL5d44F46D99iz Zr+0feD2Y+GF6up8dtq704f90Ec8Ul/kVrUNnxGLwB2H742Tf8Z17LOSh8Xz 8VjnftT7+xaNu8+DXC7/wHPENPgP+KqYf3uu6hBDHgqVb5YXFyMwdurg9QMf n3VmQNXFiQPYn2ZvFllxD3UV4h32p6s30C75CmMkn6HNcubiCM4nqLNbqz7D mKlHxDmNpbxH7RcQRyIzakvwcHPuvYn2DHj/4vA8wxaeUWc+aat51RayYy+d ecL/yT05JL8+51n2iKmvbN/XMo3Hlmy7JzkiB9YPuVQfIB5ljHHndnxqzamf 0G/rQtzG7z3H54yD9tYYijnZY+kzY/M0vNqxcD/zb57EocRjrBtn6pN1vF7s pd5BZbzFZMwvXcAfDY8PgiA4Psof4jeIxdaZ9Xg722aPoditeLLaNnVs9nz5 m3iyOLD6LDFc+pYf09aLBUEQBMGyKN8fl5WjZYP493XW5hhvKO4lF4nT+A7e hxMNz9ktjo7D4xf4+QEHHNC/FxfnwSdaDtV+r62Hrj1QPu8cHzbQPXA9z5aP xedqb880vtP+33PlZvFb+U38So4ZB8LX9GV4bmhxXXEB+VX9x9P0xZgsut9p EeiLPLYxM8a4nTppef158YthX+vcd2Mnt24O5L9xyNqDUN8Z+76xIiee7R54 t/E3ZvZQmJfqe71fj89jfDzLWOG39V6Tqh839vLp5rFkAm+v+XYfXN6cmHOx DbwcP5+2r7Dur0ZDTIJca4O2iDvgseZRf+TCzb04ij7pizYZkyG3n8bxja17 +Z75Mb76Y770m6yQmYpF1Fk0VZfic/pnDWpz1f/LC1mHNYY+61717tpFroLx IE91tpC4inExR7g72TAfrS7gi5LtVheMyUYQBMEJFfQ63c9GyxHYD1bvGFTj p/5MfF681OXcIdzf3+T75e7VU9kHVTmSnA8eBEEQrBft+a/8fLHj9qzN4VU5 dVzAZ30HHxo7l6f9zvAZvt+enTmPLxTP9Bz3GT679ue0+85m8fu2L/rrPu7n 3vXek2Ffir/6O56lDdUX91nr/sVp8+Ke08ZsHoZ91u46D7Ydt7F38EwbK8+u 8W9lxe/bc4q02/j4DC7u53Z82tqA+pyr7V89z/09z+XnOu94Vr148WjzVPPa yrV7t3Nf9y85miZD08Z9bE34V9/Ifbsu2jEqOfZvvUt32nwN5XI4T2NjMDZ/ JbvuV+2rdVNjNja/i8QRgiAITkig/ypeqxZKTSOOj7fbp4XrOztWXt/l7BPn tDh3Re6+3k0vryIG7l7RqUEQBMGqsChHmObTL5tTHHvu8D5r6UNxt1nPHuP9 08ZhXts2kvOs5V5j35kW55j2mUWvWWNdf5s3F9Pa2P5+kbjJMrI3byxmjeUi n1tk3SwiK7PGZNb8TRv34efXMjfDewdBEJyQUTWK6sXsgbP3yXkpzjPF4523 6hxi78FxJq0zfJ3J6+wZ+67UrtW7+qJTgyAIgl2JZfjIsn9bFVbNr2c9Y9m/ 7W6Yxx1XFe/YiDldlN+v5X7T/rZR7R97ziLPmxf3WPQ7QRAEJ2RU3FOtGI5v L5n3wTo/xTl7ztS3t179vnNenCNjD76afnu4Dj/88OO9by0IgiAIgv9DeEcQ BEEQBLsatQ/Rvifnszo/xpkpzjBxtozzWZwVZI+9M2tqT1rtXQuCIAiCIAiC IAiCYGuhcvp15ol99a46jyV8PgiCIAiCIAiCIAiCIAiCIAiCIAiCIAi2FnKm SRAEQRAEQRAEQRBsf4TfB0EQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEHX/e53v+uOOOKI7mtf+9qfXN/4xje6n//85+u6/y9/ +cvum9/85uj9v/3tb3e//vWvV9ST7Q9z8cUvfrF72Utf2j1zv/26z3zmM5vd pIVgDg855JDuBS94QffsZz+7+8IXvrDZTVoZvv71r3dPfcpTugc84AHd+9// /u6Pf/zjZjdp22LHjh3d4Ycf3r10It/77rtvd4c73KG7z33u071g//27z3/u c91RRx212U3cbbDImtxKsr2V2hIsjszb1sGu1q/mmo94wAEH9DLw4Q9/eKX3 D4LdHb/4xS+6z3/+8/3aWetlDR599NH9/Q477LDuta99bffCF76wv171qld1 X/rSlza5l7s/jD+f62c/+1l//eY3v+n18WbjBz/4QXfggQd2D3voQ7ub3vSm 3ZWvfOWd19WudrXu+c9/fvfb3/52Tfem/1/z6ld317rmNY93372vda3u7ne/ e/fKV7yi+9a3vrXiHm0/iHXwwW93u9t1e+21V3eB85+/u/pk7A866KDNbtpU HHPMMd3nJj7Dk574xO5Wt7xld4UrXKE773nO0133OtfpPjDx83YHWLMvefGL u3Of61zdGU5/+u4ud75z9+Uvf3mzm7Ut8fvf/75761vf2t3znvfsnjLxBdmd O078z3PusUcvNze9yU269773vZvdzG2NZdbkVpLtrdSWYHFk3rYOdqV+PfLI I3sOcbe73a33ES98oQt1l7rUpbpXTPy5IAgWx2c/+9nu7pN1dJlLX3rN1zOe /vTutxM+CXTAVa961e685z1vf13h8pfvOViwsZBLuf+++3bX3nvv/uKDffeI Iza7WX3OWDs+d+ihPZe/9ERPn/h//7e/TnLiE3fXv971uk9+8pNruvdXv/rV 7g63v3130pOcZOc9T3ua0/TyfPDBB/d5/d8cJ5cnZKifePOBB/b2mJ9knC57 mct0b3vb2za7aVOBS8gVsPO3nHCJ05z61H27r3LlK3fvf9/7Nrt5K4H427Oe +cydfeMjibUGy4GsvPvd7+6uNrE7d55wgK985St9Xc+nP/3p7ra3uU13spOe tDvrWc7SPfc5z9nspm5rLLMmt5Jsb6W2BIsj87Y1sKv1649//OO+VkNtwDnO cY5+7nGJl73sZSu5fxCcUCD/fs1rXGMnP1rL9YD737/71a9+1d/vgIntP//5 zrfzb3tM1qcavmDjoC7qJS95SXeuc55z57jf5ta37vO2Wwnf/e53+/hvKzvs glrxZevu2JzXvuY1x5M11yUvcYnuTW96U//34FgYW3U6b3jDG/p43Hbg9/CH P/yh37+hDmPPi1xkt+P38OlPfaq7173u1d3iFrfodSe/KVgO9uHcd+ILnv50 p+se85jH7KwlIz/s293uetfuLne5S/exj31sqfseM+EXx2yBGqithGXW5K6S 7UXmabuusxO6DG7XedudsFH6Fcbkmz+rFvV9731vX4sZfh8Ea0P4/fbGURPu 9qEPfajPg5/8ZCfb0vxejddjH/vY48mO3Dvb/cUl91SLFdz3vvftznH2s/cx grrftSb24KMf/egG9WB7Q03Dta997W3D7wvvm3CHK13pSrslv1ffYg/J1776 1Z43JS61PMjHlSfyceYznal79rOedby/2fujjscesmVqefiXH5nYRvwi+FMs siZ3hWwvOk/bcZ1FBrfnvO1u2Aj9CvPk+ytf/nJfHxB+HwRrwxi/P91pT9tz 9IvuuedCl/04tbbtw7v97W7X74l23XLC3bYLj9gOkIv90Y9+1J9p8J73vKd7 /OMf311pr736OWvncCvye/V2T37Sk3pObk+d+nxt9fOLXvjCpc4LePvb397v /xTftR+h+i3OcUL2h2bhE5/4RHe961532/H7D3zgA91Vr3KV3ZLfB+uH2qWz nfWsvV7Z//nPX/f96KF3vvOd/T6ft7z5zSto4e6HrbAmd+d52p37FmwvrFq/ wiLyzX+1/zL8PgjWhjF+7+wte+Y/OeEDi1zqd6pmR4zVvmj7pFzOQ/nJT36y yb3cfcCvut1tb9tzerXoZz/b2fr9T8Oaiq3I78Xen/LkJ/ftvtlNb9qf86at 2n/HO96xjwEvAucHPvpRj+o56mMe/ejutpPxqH7f4PrX7z7z6U9vcE+2J8Lv g90N4sqPfcxjeh3S+5/777/ue3qvhJoiZ8cc+KY3raCVux+2wprcnedpd+5b sH2wEfoVFpHv8PsgWB/G+D3utdZ3UOHyeL2zN1yHHnpo98Mf/nDq5+3h8Q6U t7zlLf1ZKk976lP72IK4gH046rPwvrqfS212C/nsQw85ZOfftX1aTOHHPjtp U31WW53nUXDeuzMH6+90jL0H4o2HTdr56le9qs9Byx9r2xBq0L2DzDs9njnp zxOe8ITuWc96Vr/3WZ/W+36X4f6HaddW5ve45dOf9rSdutvljNRFz2FUf7/3 3nt3d7rjHbt3v+tdx7tP+P10hN8Huxvo/vvf//69bKzC/3R21D3ucY/+HEpx yHCrcWz2mtyd52l37luwvbBq/QqLynf4fRCsD6vm987ZdM7p5S9/+f5SL/2m Kev3+9//fve85z63r7FW5+98OPv1L3TBC3bXvOY1+/PWP/7xj3ePePjDd95P vO+Fg/38b37zm/sa7frMzW9+8+5dE943BpwGx6nP3mTS1rc37wl7/etf358T Wn93rgi+7zM3vOEN+7bRc9731r67Xf3Cpz75yV4Xekcbvqo/8uv+vciFL9xd 4+pX7+vp8fy1vrtud+H3b3zjG/tzGfY47nzUU5z85N297nnP7nvf+97Me4ip 7Lffft0lL3nJ/v2LX/riF5fi92JG6kuMo3eqPvQhD+ke+YhH9PsDvMNVvGka 7Bf77Gc+09erfeQjH+l/J14jRsTuPWJynyc+8YndBz/4wT/ZiybeJC7hXYFj l/XWygS7+uEPfeh4n7F/vpW5ZTHG782J+htyTzbFo173utf1MjoWvxpC/+2P fNc739m/g+9Rj3pU9/SnP7174xve0I+LMVsE5kU7vLNPjE/O4GUvfWm/D8V7 d6ZxiV05rvoi7zD2HO0W/2tBv9mv1H5OW4exR/FDes7f561Z+x214cUvfnFf u/LoyUV27UkZzpf/i2WOtdfznLmo3/Xsscv4155XOs7/h2OnnmYtWKvstP2y Fkumz3iGM/TvVGrb590cdTbMLNS733y/zvM4z7nP3T34QQ/aeS/rR/x3s8Z0 VWttUax1TbZYVLblAPTLu3joUfFfdbt0ub3XP/3pT/vPLTpPY+ewLdKW9ej4 MTg7zPtL1CI/d+LrPOqRj+zfbWPO7FtuzxZbT9/mQR/YPe8+MAY15uywM3Fe /vKX93M9xDL6ZrT/kz7pJ5vCtjx04jfxAd76lrf0eZpFzg5cZN7kVcild7OL +VceRR+90+nxj3tcP3fm1T3affzknL17xWQMHjcZC/tNzZe1vgjWM0aLyv1a sRadsRH6FZaV72n8no4VX3zaZKzIE7/lHe94x0J1wuuV5yDYTlg1v1/0fD22 5kGTde3dmWP15X53wQtcoN+fI0bQ/k1tdosXv+hF3VnOfOadf7+QXPBrXjPa PjoCP6/Pamv7Xk3v+PCOtfr7da597W6/Zzyju/GNbtSd8hSn2Pl77+4oH4wO 5QP5LB1Y+8qHl7Pk8H33oo9qT8MyKH9LfUBd/AbxkO3E73FLNkQsqNrs3Xnz 9hqySeq6bn6zm/Uy2tqAefyeP2F+fdfZfOoF1I2wD9aA+eP/sAEFOv+Qz362 P+PfWS/iSxe76EX7MWdPyJ64DTkmg2efyNblLnvZ3pa2tpkNZJO8X+aik+/v ueee/eWddeJfbHDrc7BhB3/sY318yfNufatb9TZ6PT78kN+THbExMS7xJ7Lp uvDkZ3t0njPpAz48DXwTPq85FJsRq7NWrFnfdybPwx/2sL6eZda5SHUeN71z 17vcpa93EcMT17vzPvv083vxi11slEvsynHlQ4r1ieGJL9WzjKn2DuuKzP9B Ezm3f8TnbnLjG/d+lf6SK7JMHskVmTGO7x+8R7ygD3QmWb39ZDy037iQRzFH Y+1vhx122M7v1PnGPl9t1We5E34ZOcdR+M73m6yHtk83uuEN+7lt7ydOog3m RXvFQV80kX9juizWIzv07itf+cruTne6U/+eNrJLNk51ylP24+H3dYkRf//I IxdqDzvl3a50ePmzV5+s7bqXNY+rbMaYrmqtLYr1rMllZFtbPzXxre9973v3 56TTSWIH7LcxFSvf93732+mPLDpPtRYXacuqdPwQ5PR1k/7QReyN+XPPfSZt 9H32Brf4yXH1g8v2bR5wZ59VO3ifyfi672Umel9c/OsTuym2fZGLXKTfWy0f QaaKF69F3wzBdogb8EX0X9/ENvhzZEdexzvtcWryZTyd5UYXLzJv2iq+b0+4 MdUm/pwz3o2989eNvbnUR3Pn7/rx8YMP7u9hPeOJ15jYf/sFfY7PeomLX7x7 +ETWv3n44dPHdx1jtKzcrwVr1RkboV+rPcvI9xi/N5ZiZHzFPfbYoz/z72wT n+USl7hE99SnPnWqv6J//O31yHMQbDdsBr+nv9WuW5ezctDFh88++Nyu5Pd0 215XvGL/bpC2DS2/l5O7/oRXtvx/1kVP8vUrjr4M+IPsGt+9rm9MdBIfbLvx e74we3OmM56xb/OpT3WqPuYzLQ6r7/JHl5r4zGwyH2BRfm9fhhzU+SZ24qYT +Sb35k8bvvOd7/Q2g22n79sYg894PwFbX3bOWYb3nthkcX7nRz7ogQ/snjCx DeIG5FB8RxvlRspuajuf+dWvfvXOd9T53P0mNvxHE7s33Lfh8+LYckXaLPfB D1xr3Qe0/J7/4hxMdp588wH8q2au1p61YS+KPPQQ8h0PnPSb38UPwW2OnNh5 n/3yl77UPWeyjthccXpzIociTzIEW24cr3iFK3T3nPg11pL72DNj3w7fzVkT 0961vSvH1VzSXfyw617nOjtlDm/T/+Gz+BPkTq2PMySfOHmW8dFeOSZcie4l 9+5j/NU/jUFMgi8stuD5xphf9s53vKP3f92DXpOfqfnSXvLLb5Yn8Qy61Dqo PUc1Huan8rFiq/zB73z7231Mo4X1otaDf0Xe5WOWjVOuV3aMszUr1qJOyxrU brJLf/h9Xfz33y+Ql6FLvNudHPE/3U98mZ6pe/m7/u/qMV3VWlsU61mTxmAZ 2aa/jYsxxymMLZv2swlvNrfWmYvuWmaefG7RtqxKx7dQy/PIiU2hb5800aGH HHJIP1+Vr1VvSCY8T9xETGiZvi0CddDPf97zultNOBoZ1Wa2liy5J1lRH+29 O/52/3333RlXWou+aWHsxS7wePbZOU24l/o8vhnZ8kz30UfrxBzJLYvJLjJv fV5/wtOfepystr7PMyZ+BZ6M6/M/+ZviCfrKl8Nr3zO51wMf8ID+855lrHze OivflX8yrU5jPWO0rNwvi/XojI3Qr7CsfA/5vTy/ebIG2VQ619zx28jSBSc8 nX8/pvvMlfW7VnkOgu2IMX4vLsb+yJPOuuiPof5ZhN+rjxUvbfPcuDE/wfpS LybHTff4zDAfviv5PS7uatvJRop989Ndj3vc4453fj1dQTezF3KIdCnb0t6H rmRL1pL7GoIuvsfd777t+D3Qu+359+Ko9O8Y2BK1Xca23rW6KL/nL+DuZOnu k7Fqa++0S70gX8c+ATas6rXZOraX7ann8BH4Lerp+IXfPeKInsd5x989Jzbb 38mJ+wzrbPl3fIryqeQdzN8YxDke8uAH9z7iWt4tO0TL7/k4fCr+i9o0viAf lO31Dr1ad95xbS21Pqw+WKPWp1iJ7w05nrbzqXBoYyF+YP9KC1z5eZM1gicV Rx7aZj6htVaxs2m1wLtyXH878ffkm8468Su0yXtCpr2T0fp+2MSXvNFEn5Eh IFM4lPyUekx5wVkcSM0O39sYkrc2jsAnVM9zxcl3e9038XHos3YcySUfv+ad Dz3kJNqp/pruMn4PmIzltLrLtxy3HwrHnbWfZQyrkp0CvoCH6RsboE3rgdpN c+V+s/aG7qoxXfV4zcN61+Sysu08G8+6zcTH/vpgf4u4B+6rXuBjg/W1yDwt 2pZV63i2gzxYi9ZtX4feyIbYj3iye/Tvh735zbsvTNq4TN8WgXawj2JH4rju JyZjvuj9T3z8472t9X5jnEmswlisV98A3sTeimuSp/bv2iVuLPfqHmJF6url O5y1RAYXmTf3dC/tVadd7wdms6wZvgX9YM353Jsm/dvruHZbK+ycGm3nLOG+ 5sV6E5cQd7FmcVt1/0Osd4zWKveLYJU6Y9X6FRaV79a345PzDcVtar7UzvBb 5Nr0Qbzsrne9a78fpkXNlRjXWuU5CLYjxvg9vcbuWC+zLvmGNx944PHuN4/f 0910e8uH3YuvxNfGu+gnsTW+kb3rw/z3ruT31T42SJwRL7X3jk6mA3CjG97g BscbO7l5/j574TP8PHVl/KU2VoFffHKN8dkW25nfGyN74yoXdLqJryzuMeYH swOXv9zlet+o/r4ov1cnWHv91cO1ZyrCR5p1wN8a2nTtlN+p58h9q81rbYW8 nZr/kv8x2+0z9pnJn1cefdr5FPbhki1x61XEgYb8Xgx8OA5yFWr2yXv5uXeb 2Mzam2kO/V27rSPvwx3mIwv6rj7SfdThOeegfV7F+cyLszXH8lKep8aV3Z3F 73f1uKqtJGuedY5J+9Upju0l5VuRTzLe7vsoeMdl+ZxjHMiYqNdWRysfOJZL an0w8yV+1dbwuof9nWKK9DpdMcxR9DGut76197fcx/hUPKKFucZd8IFl649W KTtjfd+V/H5XjOlGjNc8rHJNzpNtvrWaFvZ1Ws0gX57d5Ze3WJYDz2sLrELH +zvbppaIPdHuYdzH/982kQv+k3v0fd8Afl+QE7V/yf3IKl/L87TVHOBD+ilO sQp9I5+rZgHn6ts/8BHhgx/4QL8XZWcfRz4Di8wb0L9Ve0Yv86uGnFY/5fTL TzO//Idh7dbnDj20nxOfGzuHdr1jtB65n4dV64ytwu+1TyzNHLbzpb/2n4jp jMXa27kST1qLPAfBdsUYv1/0GtPL8/j9ESNcVJzc/qM2Zmbd0j/OSN/M/L2L vyPGJ17Y2gxtfPnkfufcY4+dnxWPsM9pmNeiZ+jatp3DZ68V25nf+917Jza8 +KRLXP3g4/bHFeSMHvKQh/Q+gbNvCovye+9XUA+nLgTvG9ZSe579kO4xVhdn /sT66zls4VhNd9UJ+Iz7jXEgNkpbyLWaDnnnoV11b3Ktv84EWMWe2pbfs4d8 9DH0ecfHPrY79XExl/ZcBDzfnkG+m72c/NRpMMbWQsl8W5thPo2hON+V/H4i A9PgO3sdJx+zzvLalePaxin5aeo0h+dTuferXvnKPl4knzUG+vcax+nfMf+V 73erW92q1ytqm8QVhhfZ5beeZOK79+tn773/ZP0YM+Pv79PG+6tf+Ur/7k2f kXdzBtEQ6j5xBfWty57ztSrZabFZ/B42ekw3YrxmYdVrcp5ss6Vqq/nUxka9 7XBvVp1VOIy3LsuB57UFVqHj1ZjRQebM3oZp+4H5Es5+0Wf7xNvzP1bN749s 1ohaEvvdp9XdrELf9Dz6OH9kWvtbP3DaGU2wyLzBixofcJ999vmTHC4YY3Na 8yvnP/Y+I/sDar+j/LbcwCrHaD1yPw+r1hlbhd+X7hyz172MXP3q/efsR2jP y27nSm5orfYzCLYjdjW/b2OjdYknq7MZgv55wf77b+r+e3lO9fdjcT+/e8xx 7watzzunxt5e52YPLzm8dmxwEHHc9XK37czv/z975+L/1ZT9/79jxowZZgaD omJEhTQukZRSKLlUyrWLW6lcSu65S5FKRaWiSFJSEhJyKUkShmRyN2OYB2b/ 9nP/3vvz3Z3O+/3e55z9Pu9L6/V4nMeMPud9zj5rr732WmuvC8AGI96T2HjG jp8V37Xrd6buDjKcXDLXZvO179Hd0L3QpaO10okZoa4LPRyMD7h7953irY3u p+favueGCA9aEKfRuZBziw25MqamFH4szoDs+Re+jeciegv7KjVgmMe4tZEG O9XPL7H3Mz/kl9p9/f7Cvg5doE/TPlgmvt3to8Ueix4G3PNv4l3IOfZ5Rin7 Pm+6rnDsO+MD0fq6C/iKMwdqWxXL6aNGd/dCbcw4/RVfFLXZOJvCpsA/FXfR 6wM/I/KWekXRMydiosg9RIfhLAT9MqrbunOC7sm4ozWk8cMSy/lEkbzjUgjF Oy6qad9XmqaVoFcphF6T5XgbsF6xodhDDznkEFM3w80JwL5mn43GviS1gX3G EkLGW3t0d72X8axScb58F3Z+NEYitH1P/TP4jufBp9QRLIYQ8sbUwD3nHPM+ atbNijnDYG/Hh8w9PCfaE8nCZ96AqwMOKmLfszbRwez84k8rVhMGHw33xPWE C0GjtHxfDqFlRq3Y96X645FXYOUWOstCp36SO1fQO+3+KRDUI+Ls+w5aV2Vv Q+aWumyPFxfl7HtXntiLvadYHVo3vrEa9r35e8R/a4Gehlx2x8Zv2dOQM9GL f7dx6PbiTLpY/JQv6t2+Zy/DNrL2pMlx0PouZ+6AWHzi/ciRIpfQPVNJUj/f BecX6CHURiDGjlrXth40+oTtjWThq/v52qLUaSU2hfs4L6NPi5uTwHPox8gZ cZQ/8PWjC2C7FrvYQ6N+jLj+eMWA37tfIb8Yu4RvtzHw1Kn3pTXnD9Sot/4s atzwHHddl8qVT0LTrHRNCvxM11xzjaEP65q8EfccjndRq5dzh2I16Mrpr8Sd 4mOEVuRLkkdS7sJOi9qQvH/27NlGnrG+mBPXv4FeSV3tI/QasL2LoPUKh9bY s/gryHHkjCspQvGOi2ra95WmaSXoVQqh16SPbUZ9cs7O8O3a+m/U3iJfIapb uKimfV/q24kVJneb2hz4jNOgkvY99CXvohhCyBviLi8oxH2jD1HDNOr3Qheg 3jn5AqX2opD2PeuRsZSz75EplxdkCusWnTA0jdLyfTmElhn1YN/zjeS+mudp HdI9c3TnCr0g7f4pENQj4ux71gq2AHpxqQv/YlQ+lrPv6QuHPHffVyxOChC7 1qlwRlYN+x6bDz9GHLY5+2bay63Dnxb1bt8DfObEldkYKfiG+oTo0NQ4gCfZ t6M6Z1L7/mfNZ/gNsPuw6aknhzxnjm2MVx72Pf4F7D7izrj3lFNOaar1xpqC D7HFqV8bBWuTvDn2rGIXsaHrnZxO+ztf+949w+AiVx0aMGZrq7hjLgY3DhM9 hvgL4v+n6+c0K9SnIxZyW4keO0ns+yx0TQr0IGpSWX2KHhrwKsB3MH78eKPn 0geyGErprzyf+t3owOTzLorEBySF8dkUaiETZ8QZkgX5t/QnYi3BO8TxonNS 38rKeM4tOZcjlqOYvC6FULzjopr2PagkTStBr1IIvSZ9bDPoAM2RZ3bf5Uyz RYsWhi7EGMWdYdaqfc+ehT1h7MI6s+9DyRv0Qp4DHeBD8lOifcdsrQP+Hlfv xqLa9r0buwZC0Sgt35dDaJlRz/Z9dK7oCygQ7ErIuz8e9UJsLVd70XummCwj b9X2Kwli38+Ykci+LyV/OEelh4A7Np6NnVgsDih6EfuVtXZaI9j32PHMmY2t Zq9DL9hQ6G9L7hTzHN2Pk9j37Pn427HvqIFMrhlzyD7g5t/nYd8Dvs2ekZOT wHkGdiHneNR4wSaI6y1LDazTTjvN/KbYhc3BPuoiiX3P2T+xJdxrY02ZI9c/ VkrfsqDfD74BSzdqiJv+mNr2tfkY8OrmEryahKZZ6JoGnLXY2lXIOtYzfE4e CL0ebilSV8+ilP4Kr5Prw9+InZyWMN46CsYBLYhrID+TuYD/qQtIPWf4H1lI LA36kK1BhW5u68mhe65JmZsYindcVNu+ryRNK0GvUgi9Jn1tM3xy7+n1Qm90 epXbejv4Q5BT2MnRPPZatO+Rj9gT7F3wAv2042pulkO17PtQ8gb5R11R9iBi m3gWdc/d2hJ2v+X72PeLychas+9DyuQ0fF8OoWVGPdv30bkiX08g2JWQt33P meI5hdwse3HGVSwmidh4t36dj33funVr01M0CvYdZLUbI5/FvmdPutGpx2P3 +8cee8zo9z4XeblJ+0dH0Qj2PXBjq+3ckJePPoy9Fufj97XvoRFzRa+ds88+ 29i6bnx2Nex7nkl+wP6F/q3kvBJbwNky+bjUnojjDdvLiT4OxS5yZ6P1z5LY 97yDHnLc68aaYqfYGvWlclcsjA9M6wxWb2G/xZ/C8+w6O5U+EiX6eSW179PS NQ1MjRAt36ihb/rzDB5seI2c6nP1GlzyzDMlf19Kf2W9UJMTeYXdRe/fNGc6 Ltx61OQJI/+pyUSsBnoxtbb5b3wT3GP6ECxYYHwmnDXRcyFpXT2LULzjotr2 PagUTStBr1IIvSZ9bTPAOLFlyC0ibtn2OjH5yfrbWQdunk0t2vesV+qV2XNr 6nwUyzsshWrZ9yHlDXsr9eHIO2mu7c02bdqYWEVq1ZHjPXDgQJMnRX5LKRrV mn0fWiYn5ftyCC0z6tm+j84VPtis+6dAUE/I2753a6vaK642FcD2pTerPVMo Zt9jn7s+gLicKcCZJL2o3Xr8Wex75CBny+yZ9n5yLecXiednLyF2zc1xSNo/ Og71Yt9Drzu0fc85VlxtN2jB3m97IlrfP3OA/z8uX9rHvkemEzdJ7BvXAzH9 Daph3wP64Nj+iqwVYro5D+TsI0TvRBdJ7Hs394QaQksK9d+J96NuD/9Ovh61 mEvFauO3G1yoRYxvxe7R9J2wuky5sSSlKciTru674O3p06cbOYM+W6yunkU5 /RU/pc01KNaPIQpojo8nLn+a8ZCXggxETqLrI69OP+00kyvOXLp1TdH56AHO f/ONC1LU1bMIxTsuasG+rxRNK0GvUgi9JsvxNvshfg/XFkMuE2cD3xPnR2wt dEVuuT1NatG+B9SHcfsGrvCQVeSrc46b9tvKIUn+fUh5w1zSP5m+jwMHDDD+ YuKZsLno3YKPOlojJopas+9BVhpl4ftyCC0z6tm+B+5ccWXdPwWCekLe9j17 KLXR8XHbe9B3TIyiXnvIPnQd6ltQa8R9VjH73vVZWruQGFxkkwXndc8880xT X5sQ9j14dulSEzvufgux39FaSexj7EHYnz179jQXfVx89v9ySGPfY89SvxY9 kwtdJq7We0iwh7G/H6nnCp02DuvXrdshvoM9jn51xeTy+5s2mfP9Uvb9li1b TL0o4385/HCjg0VB3dlTCnVn87Tv8ffA5+hd+OzhT+q3jknRf6wcktj3b2nd i3NvfGucQ9l6M7b+/O8KdRLIL472hXPh9stw+zxzXnF8x47m35EFN2vaFjun SGPf50lXxk1dIs4JuLpo/Yx4E3xV5eIEyumvpl5JIT+J2tfQqZROTNwFNYXQ w+LuYzyc6aDLMYfop2fpeTlPr6GNjo3h+rvIj4L+9AD8OEPtp1C8E31mSP0T m6NPQfcsJiuiqBRNK0GvUgi9JsvxNn7X+Zq+cb3PeS99rqxuYurgOHtG0nnK y77HLrB93TkvJMcp2qPTBTUaJk2atENfsjQ8WApJ7PtQ8gYdjro2xJ5T44Zc D3QiYlmo7UIMuI+fsBbt+6w0ysL35RBaZlTCvvfl7xD2vTtXXFn3T4GgnpC3 fY9MJ9cQm819J/0r6FFBrD4xrvzd6kvl7PuXYr4Bnx12NuNhvZMLR7/ePbT9 HdK+p/4x9QHdmH/yn9hjiNHFplql93zkCrLajR0gVjhaAy0N0tj31GE5qFUr ta+W2VycK1H3qZIwNXX0nnpo69YmLi8O6FjoH+RNWx2JnsTF8kiJce1fqP9a zJ/u9tBlj+L50bxIfD+cvXIPdiB1IqLj8uqdRM80rfMlsUUZr10P+NyxvR9/ 7LEgPe9dJLHv0T+oF0ZsDWcwNmYPfYj1xL/znHZt26q5c+YUzTOlVw1837IQ N/FToRcUPnLbY5g1wZkFunEc3LkxPe9K9OV2kRdded5Sx8+3p5YFxOa/Vej/ UAqmHkmhriO2Ff5CF+hm1AywdSfpMcGZRJzdRZwn8cH4NqFlsdjstx2dDjuO et+cqbnxMeg2+P3wlUI7egtNTFlXzyIU77gw8WD6e3keMmOC/o4sIAfIyhNz njVjhtfvKkHTStCrFEKvyXK8jQ8O+4++E3H9Z+FxZD8+RtaWm+uSdJ7KjQWE kPHEPY10Yg7RL4hZw6aNAnuXnDHOWLc5ZxFpebAYtiWw70PJG9YD5xfEryfN IXfhM2/Atz8eflg7v2OK1HV2a8vG2fdZaZSF78shtMwILV+BL3/j+zqvcHaD rkpcXBzcvp4m98nR1yuxfwoE9YK87XuATENmunXurE6B3sMZuLXrse/cs/44 +579i7qf6E3us/CtYqPQ/xL7lb9ju+/U/y6DfY8M4OzXnsvYizHzbs5pkLV8 qzs+5BV+wqQ6WBzS2PfR72RsnK1XEja/Hl8OvaKL9QZ27TJ0x1J5m9ispxZs 1mK6pntuBl8NGDBAbSr0scKXzhogD9bqB9YHzN4Pr/K/1jfR5PvXekvc2Sy+ d6v3+tS3Abb/n+VzU9tq8+ayv0sK177Hb14sj4QeX8Q7wL/EtH8Z0c84j6Kn IGsTHYRcyrjaCMQt0/sLvYBzSpcfieXAx8M77DpH7jAXLl3Zn6n5Y2mD3w59 Gd24XO2wvOgKjA49bJiRO3wLsTFxulsU7pmp8blE8lZYI9TzOKJQo5+6XdTr py8f9QSQ0+QHQEviLLt162Z6l5bK2fxB0w390vokOfvgTMUFPgv4A/2Qe3x6 KfsgBO+4+EDP54WFXlw8827Nr1ng5skjH7G9fizkbDJO6BQntypF09D0KoXQ a7Icb7M+sHEMHWLqC0Ivav6hExDjjS/XHUOSeSo3FhBCxnM/Z/FdCjWE2W9a avoQY8a65G/0TCBfrH+/fsZ+WRWxJdLyYDGgH1xSeB60vG3cuKI+zhDyhjNQ zsnhRXxE5DByjkrsOD5PchHwJXE28mMZ/cdn3oBbO6LYmbXlNzu/5NTEndHC x9bPhQ5JbldIGmXhex+ElBmh5Svw5W+3Nwl9PSYV6UdBjIe1Ydpq2cq5mkUl 9k+BoF5QDfsesOdQa83mqsVd+OKIz7G+yGL2PWuY/cPuA8Uu+qdT6/pwbe+H su8B8poasIxzt5h4g+jFuQ39t0v1H0qCerDv6RGAj51zLXQeclPZ2+J8pOhZ 6AecNVB/gRowceA+vqNVq1ZN30H+K791921izFz/D/fgP0Dn4ZwVnqCuDGOy ew56Cf9OTBg6azQPgL7mxBq6oPceepvtTwNvkdPqc16MzsdZEN+M7yNEXYYo 2FfhE+jPXo0N/+YbbzSdMTJH6GDE43Fmgs4Ej0bHz39DD/ZI6l7gOyMO1a2R ie5APAjnD6ZX37p1O52VcA88Z/18jAl9Gb0LPYK4GPI2ydWzcoI5xP4YOmSI idsphzzoCtDrmWv8dnzzMx5nLvyGOBqb8wwdqAsY1d2hE7ajrUuBDwFfFPIR evE+6EMfUXyGPr17iTc4Vv8O3Q45HFd3yPI8eiZzkbXPBwjFOxZubTv42tY3 TAvogK2Knc7zoDFj5SyXM7XXX3ut6LlOJWgaml7lEGpN+vA2+yZ2CP5e5i1q g5h4Av1M/CEzpk/fgZ5J5sl3nYWS8dgGjJe9zj6LPYUYY/QJzhA5t8TnvEjb q1E/ZRYejIObk43suLhMzHZWeWPqHGk+Yex8A9/KGTH2eUeto52of0cOA3H3 5GWSM0Vu4I+R9eI7b/gTRhfex32mT2lMjd0PnTw9rj7UXY3pXUpdSasLwNs8 O+qrzUKjLHzvg5AyI7R8Bb78vUzb31anx09Bn62oP4b7yP+wNgf7PHLK/RY7 Vza+LsT+KRDUA6pl37Mut+t1RB1h/K3If1t3FrmH7J89a5aJE+5ciIXjIpeW s7Eo0JOINeIsd89IDD46CvsbZyf49tx8nBD2PaAGLHl56EFuPQ/3whfM+Sm5 msicUHHCtWzfox8Rq0E+MvqOjVtkjjlrRydcumTJDvoKdKEuAfsOfemjdOJ8 mdxqYrzQK+EJ+x3sF/hP8PviAyfGC30AHy98bc/X+F70Dmx49HJoyL5gayUy PmiInQZfcc7ixpvA1+iCjI9zCHzst2r6Ea9hx4OvmG/kDNzNw42DrRGQJP48 KbBtqW2D7oWOiW5CXjq0IpaSfHv67l1aoHsxvwpA9yJ2j57Z6Kn4zNCJONej jhJnU9QOg6bEbcSdgzHn0J24O9Yn65T5g/boJfjL8OVRh6xz587Gdsa24L9X v/yykR/lkAddLTib4rzF9N8rUVcPusJX6Fwuv8CTHfQ3Q0N40p4hQCd8VOi6 yEJsQ3etw7PwNnkUpebMBX6b4VpWIS+L1bbA70M8Jv0+iWcJJa+y8g50wW+D PsjeBd9YWrBGsRlYi8x30nMYvvFVTQ/sV+aDi2eSS4UcKFW7oVI0DbHWfJF1 TWKr+PI2dg6+WPZLngvNOdfED8y3EGfFXBK/+4WWsS585sl3nfG9ixcvDirj OUOlLhDyIBp/aPP32OPi+DMLD7pgLjhHoA86uof7XefqvRP7Lq7XTFZ5w35L D1fG667NuItvwx+GnYWfBJ7wnTfO2YldZ83ZmBOu/fbbz7wbPwz7P+uSHG/O oa09bv387H348NkneB5r7Ez9W5sfyMWz0euI27C1/rPQKAvf+yKLzKikfAXl +BufC2f1Vv7Yd7c+5BCj53Luznu5j3wa1p/VK62/4PqxY03PHHeu0H1C7Z8C QT0AeUX+CjFm9kJPTRufgizFZ2CfVa4OJbIOGxCfKfKCfZZ8NvLS8dW5eX5c 2GecjcQBPzh9webOnWti0LBj6HfOM/FXsC+SY4PuZcfHWD9zcuPwa69Yvrzp 7/i+ff15+Az5Vr6ZeB9kJ71F8U1ijyI/0BFCnIO5IMbtXf1cdw6hQ6n44Oh3 QvstWs6HBjTnm/F9uOPjWq7fid0NzaJ6LjSCL+LkLXyBv/mFmGfai/e9U+Ah gM+YceDrxXds+cL2oeb9+Lfp3wPv4POBZxgHtEJ3jb6DvAzGyO9ZR6wbeHeH ceh9krngjKEU3i7YhuT9bU+5p/sA3Ys1yprHviBHGN82vhC+nTHj+/ftmw19 oBNzCc+jU1FXjppA7OF8Sykbhr/xDNY7vjzO2MmRtLGs7MvoXuhx0JL4enjK 19bMi66A9cb8o9uWsrGw8T7RPIXMWxHhF/6bPArWRPQ8BV5Gp+HMj9gKdETO s6ijQL6JTz6ABeNDtvHOUr9jXtCly/UBSIO0vANd4AvO6OLkCjm7xHhu1fpt mnNs6MHvqX1PfgdnaKyXcnK70jTNutZ8kWVNJuFtZBG+Wubw5YJ8XaRtYvZv cmTR9UvVWC83T75jQdZVQsaz52BfYhdirzBG/CDYJzwzrh+M77f5gPEgLxhf 9LuIs2APLZUbn0XeoDMRE4cfg99Q/4gYOs5/icnEvsSfTE1bznawsTj7YP34 zhs6Kv/Lfy93dBmr1+Hf4BuMjqn5lWc/F6WD1j+YI/iX58GPrv5q9BT9bNYX PBKdszQ0ysr3SZBGZlRavoJS/M1cMHfo0e570VGJ+fy08F50Q2z25yP8jV6L 3+qrmLqWofZPgUCwM9CBkFvoNvZij7E2Fr42V95gZ0V9rg8UycMB/JZn4T/H juFdSXLVQoBvsPoAcpKL/1+p2GCBH+ANdC72Bfgiujcxb+zx8A6yPnQdtlKg XxD+as4SQvVmLwe+HzpwRsBeiJ6b9t22bhC0g9ftevaFtQ2+1nNDvj/zYMfC OHlemno3edOVGNNK99hFnqEHQWv+N62OBU3LjZU54Z5K1hrKyjuVALxiZQHr wvf786BpXvSq1Jp0we/dOHp7fsvl811p5ylPsF5NPIEeI2P11Udq5duSyhts RuymK7U9j63Mb9DxsMvwoXOOQGwhNi62J3Y8MS3UrJiRsZZgtZCURln5Pika ScZmRaj9UyAQ7Aj0GmL/iPuxF3lQ1LWO6t/4uKl9aWNvuMjfWlqkhqpAUI9A H6LOzXkDB5aN4xf4Q+gqEAgE+QF/MbY9ceec3/ueiWLvU8+wWI10gUAgENQ2 sOHJx6ceppuDRY0LcnqIGyJvbfLkySavj9og9j5y88nXdvvaCwT1DPrWkLdB Pi75kKViNgX+ELoKBAJBviA2mvp59MAl1twXxNij/xELLxAIBIL6BDkwffv2 3aEuGjY+tjw1Q6kFQu0zt/4bF3la1MfLK35ZIAgJ4uLI+affDnxMLif5gNSV Oeecc3bqpyXwg9BVIBAIqg9qxJFDST1G6riVq11ETDZ1HsZed50597f16wQC gUBQfyD3h7om1C6N1rKMu/AD0HeIeqJS31JQr8AGpeZ0ixYtTE1eer/Qn4FY xoemTi3bC1gQD6GrQCAQVB/UiWuvZS+xlvRWoJYeehvn89SyJfaSvEvqolFH 7roxY0zNPWq+Ub+u2jnhAoFAIMgG4mXJiSXfir407dq1Mz1c6G+BPU9PGXpS kptP/V7qjJarQS4Q1DKo24rd6fqumjVrZs4uqEUrSAehq0AgEFQf1NGbOHGi 0d2Qw8Rg0teMPnf0JiNf6qTOnU1fVnyyg7VtT4+GUL0fBAKBQFB9IM+pn4lf F/8uvTioncfF/6eP3XsbN5oze4nJF9Q7qB9MjiFnzPQg7tKli+nTR9/dWqz7 XC8QugoEAkH1gU6HjU+fMvyr3bt1M7n49L/bb999Te5lz549zbk9fllq6Kft xSwQCASC+gH7g/hxBY0IfFSfbd1q/Fbkp9AzmR4twu/ZIHQVCASC2gE9x+h9 TG49PcvpZb5KX5zjbNiwwfxN+gULBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKB QCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQ CAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAkFjY/PmzequO+9Uo0aN Us8//7zpfZs3bL/d999/v+T1wQcfqK+//nqH3/74449q69atZX/70Ucfqe+/ /z7ouHk3/YAfnjFD3Td+vHrjjTdq4lm1iH//+9/qrbfeUlOmTFETJ05U77zz TtXfVwu8vysAun722Weml/acOXMMf0+ePFktWbJEbdy40azL//3vf9UeZibw jVu2bFHz5s0zPPXiiy9We0gl8a9//Uu9+eabavq0aeruu+5Sr65Zk8t7f/31 V/Xhhx+qGVrOjRgxQl1wwQVq2LBhaormh/Xr1qmff/45l3GkQb3NcVbsat8b B9kjBLUE4UeBQOCDX375xeh3rVq2VHvvtZcaPGiQ0bfzxnfffaeeffZZde21 16oz+/RRJ5544g5Xl5NOUucNHKjuvvtuo5O6+Oc//6nmz5+vrhw+XJ122mk7 /bbbySerQRdfbOw87PwQ4DnYjOedd5464YQTVOtDDlFdu3RRixcvruqzag3Y bOu0zn77bbep/v36qY4dO6qDDzpIndqzp1qp96Zqvq9WeL+RgQ0JHw8ePFid 3LWrOv7441X3bt1Uv759VZ8zzlAndupkrjN691Z3ap0F/129Ydu2bWru3Llq 6NChqotet20OO0x16NBBzZw5s9pD2wk//PCDenHVKnXD9ders88+W3U87jh1 yN/+ZuZlwYIFFX//Tz/9pBYtWqQuu+wyM9+zZ89WF2r7vsWBB5p1etaZZ6rl y5dXfBxJUU9zHAK72vcWg+wRglqC8KNAIPAFZykT7rtP/WnPPdVvf/Mbo1+t X78+93HY8/u3337b2LpHHnmkGQ/X73bbTZ2px/Xs0qXqvffeU998880Ov+Xc +5NPPlFr165VN910k5F99rd77rGHse1fevFFYzuEOr//9NNP1cInnzS6KXKW dx1z9NHq6aefruqzag3Y25zVoSv20/a25bPOJ56onl+xoqrvqxXeb0RAW+Il xowZo9q3b68OOOAA1b9/f3MO+PLLL5u4itdff10te/ZZdeutt6qjjjpKHajv Oeuss9T8xx9X3377bbU/wRtffvmlOUfhDJrvhJcOPvhg9fDDD1d7aDvhP//5 j3p3wwa1YP58ddGFFzbJmyMOP1w9ruleSbA2ly1bZny1g7ReiixHHiO3Bw4Y oH7/u9+p/ffbTz1w//0VHUca1NMch8Cu9r3FIHuEoJYg/CgQNDb+p9c4Vyis 1Xr25Zdfrvr27avmabsodAx7UhBHj1/S2ujNmzVTEydM8IpDeu2111Sv009v +i1662Papvg1IL0AYyHmgLiBo//+90w2echn1SL++9//Gntt1syZql3bthW1 75O+r9Z4vxHAmT22Ys+ePY299jdtF1x//fXq3XffNee3LliXX3zxhXryySfN /Xv95S+qXbt2avTo0eq9GjuXKCZ3iScnF2TF8uXqlO7da9oWgt7MAXP0xIIF TfImD/v+H//4hxqu7UXmGD8sZ1GA9Urc99AhQ0ycx+rVq5t+E3qvK4dGmOMQ 2NW+txRkjxDUEoQfBYLGBHsuZ9Gs8VDg/Pvjjz9W72/aZOyiaufBYuuO0fq9 tdHbtGljzmN9QK7gRRdd1PTbkzp3NucQlQL5xD169Ahik4d8Vi1ihbavO3Xq VHH7Psn7ao336x3YasR5H3fsseoPu++uDmrVSt1+++0m3reUj4248RdeeEGd ccYZarff/tb4Ba4aNcr4+moBPnIXfwTn0PViCxE/cXrBF5qHfc96JBdj37/+ 1fhrXRBXwFwjv+EFUIm9rhQacY6zYlf73jjIHiGoJQg/CgSNB/TjpUuXqkuG DlVPLVxY7eFUDOh3N9xww/+dwR9xhDnb9gFnRJwD2d+Se1/JmkCvvvqqOu3U U4PY5CGfVYtYuXKl8bfkZd/n/T6BUi+99JKpdYBtz8VaRBfxAXrLo48+qg5v 187MGfH61Nuo9vmEr9yljsYF559fN7bQ22+9ZeI787Lvp0+frprtv786oHlz NfnBB0vem/de16hznBW72vcKBAKBQJA3qKdOTA41kZ584olqD6di4CznRse+ P1Lb9ws87ftPtH2PjtZk33frZmyOSkHse3+Ifd/YIGeXum1//tOfmmxG8u1t HLYPjH+usH45xzfxN1WeN1+5W2+2ELVOzj7rrFzse3y2N990k8mxN/b95Mkl 7897r2vUOc6KXe17BQKBQCDIE9QiuvTSS009pKPatxf7vgjEvq9diH3f2Hju uedMHXa79uh3Qbx1EpD3+9BDD5mze56Br2Ds2LFVq7eXRO7Wmy2Up31PjYWR I0ead5Wz7/Pe6xp5jrNiV/tegUAgqDWgF23atMnUW6A34uhrr1XXa73ooalT TU9Z8iJLYfv27aY++b333GP0qXvuvtvEqb2xdq3J87A9x7/66itT/5h6SHEX NZPdPEv2dfrxuPeQZxzV16j5Q/0leuJSU9nWUmNc9NO59ZZbzLiI8WPPcXNO +HZ6RMx85BF1y803m747xNrRN60Y8n6fBbYrZwXTpk1TN914o7pRX8wROX/E p0Zh+31xpkVOKvssOa3XXH11Ez2xC90YVr4FXiBnfU2hpzHfRV7szXq8j+hx c07mgnpL3MvzyvWQo/4QNd/55gceeMCc2dGPDBucHMqs9ZAqad+TB0weqMuP 9GPieyw4h+Q3Ud6mzrPNDbWIs8mZM+iLvkxt8HHjxqnHHnvM8EzcHFfiWSCL TEjDQ/ad/Ds90eipzZndw3qNsdagc2h7O8T7fHi/WvICJJUZFmnnMA141733 3tt0dv/HP/zBjLXcvhMH+hh2LswbV+/evXfqiUmu9JuaJtDbrm/GQC1hbEfm 4jYtk8jpj65ZH6SRu8VsIeqJ4Gsi14C6gazjJUuWmL20HNLOvQ+S2vdJx8K/ 8Q5oxTxZ2bbP3nsburqylbqo0DIpzbNgV5jjpm9NuWeH/t5q7EnMM9/Ivsn+ yXjvvOMOteipp9TWrVu99BWfPSK0TAox7iRIy4ehv7vYOB7XdKjEfpeGzpWy g3zhq6/72nWC2gU8SE+Zc84+Ww0fPlzNefRR9ZTmTWQu+cc9e/QwPM+6iQLe ps7OFVdcYWoyEk+JXjxnzhzj06Z/+IgrrzT8CuAr5Dr9bQ7XOgG1jrno7fXE E0+YXEtXt2UfeGX1alM3Fx3i3P79Db8hE1iP9OohF+/iiy4ytXfoxUttXXqg UbuV5/I78vb223df83f2mzV6bQDWJXvMyfo76RvOfZz9tD/ySHXdddepjz78 sGkseb8vSmdkD3Nyvn4e9OC5xAMeduihZiz8Ldr/mfVJ3/aTTjrJ6EVWP+ra taupI8fFfs3eDR+Qpz5MzyX3H61txKlaLm7W6599tG3btma89LKdpH+D3oIM hneooXPsMceYfMxS9eigE/XooRO8hvzm/dCT38NryOKvtI2cFpW07xn/Ki1n 4ekORx1leLdXr15qqdZNLL7V9yA7x48fb/5mefxaTUPXDwCiNjnrZ6GWn/Tz a9umjan9z0WNQHra3z9xopH1cQj5rDQygX0sKQ+5PQ1szXpshiGDB6sJEyao qZp3x+p1QY9C+J25DGXfZ3kfekI53q+mvDDzkUJmZJ3DtHDj6rlaaTsJfS8N +GbO/qP1NZmzt7Sdf59el8wZdID2yB/0rWkPPaRO1nKRPurMRfPmzc280m8z qR7jK3ehtUWcLcTcYEv9vUMHdeCBB5racs30GqZn4F133VV0/abdL5LA175P OxbWyKxZswyt6FWJDONde/zxj+a3lo5cD+o1tk6PJynNs2BXmGOQZc8O+b3V 2JMYC3bdgHPPNe9kvvFrnH7aaWZvoDcAvXrwu7J/ICvw/6Of+uwRlZJJWcad FGn4sBLfXW4cyI/Q+11aOuObD2UH+cKHH11aJrHrBLWJLzV/cm5FDyJ6B1NL DHmOjKQnOHIY3maNxNWNQX5fftllZl2wF/NbfKjf6DX47LPPmlpJXNgeAJ8U ejV1kGxvHfIkr9S88oXeL6O6IvdjR+K/Y4z4x9hH+Hfjg9J6MH7c4zt2bNLn WGucBcGH6NKsufvuu8+std1//3vTX+e6MWPUc8uWmRrL3I9O/+CkSeZ++N7W Zxqvn2N9hnm/zwVrGzlBjCLrbOO776oN2nbArmSt0qeduEXqytEH3oI1TT9v 6M0c8Z5DW7c2NgNnWlz8nX7SjKe/1qOwAZmTv+6zj7rqqqvMvfSMI/aQ7+Fv 2EPYzHwHeyvv59knHH+86VEchw82bzZ9rrBBqYnNOxmr9RH2OOUUk1+JHMbO SnNuBipp35ML/L2WtXO1nMO+5x7qeeG7de+BV7DNsOnRR7mPvSZaz9u1ybHZ zj/vPGN7Q0dkL/9re0z/brfdjP13h6adO8ehn5VWJhCnmoSHRo4YYfYtwB57 Z2FdXabXEb5tYiWIhdis+QYbudMJJ5TsR58EWd7H3HIGX473qykvQBqZkWUO swB/GPuEpRF7A3ENaeDGctsYfebA+ubwi1hb8S9//rO6Qusv8EK/vn3V1fo7 x2kdEBsCvZJvZJ1zhpOkzrCv3HXPk6K2EOfAzDtjoR8IaxJeYO0xrkO1zoq9 xJlmFGn3iyTwte/TjgVdAHkDrdAlmB/ehQy7WtPG0pELucr8JqV5FuwKc5x1 zw71vdXYk5Df+C3QH/iG1/T+imz57LPPjJ2DTOc30Jl5J9aL/eCee+4x9pnP HlEJmZRl3D7xIlGk4cNKfHe5cbCvhtzvstCZ+0LZQT7w1Vksktp1gtoEc45M hLcuueSSHWI+WUPEmMDf1DJmT43Ggzw6e7aJSRug1w96sQtkLzKfs7DVWn92 wf6A7mrXDb5g5HQckDnXXnON2WPc3rbsAYyHsx9iYngWPEvPauJpWO+sNXib ++jXe0Ihv5M1Qi8x4neIm0a3Z/0wLtYsModxIWeIq63G+yx4H3IFGw2Z6K59 1hyxxTZvFT/lzJkzd9ofiVeidxT3xOUIMl7WNDoaNiH3Ydtg12BDvKr1b2Tm KC07kbfEx7GH4Q8kZgc/ayl5wfORa4yPbzFxS46Mhhbs0dAU27PvOeeod/Sz 0yBq30NbYrX+qWV6uQs6YReXy79nDnv36hVr37vgvTZ2s5x9z/7DHgC9iWlj 70GfYg+Ad+APLviN/SO6x4V6VlqZkJSH2KfhZXzQk/Qeixw5o3dvE2sb5V/2 Q3zpxG1nte+zvo8xw7/leL9a8gKklRlp5zAroJvrA+F9K1LOr+mfoWWJfRZ0 Qo/k39FTsLuszcGcoJ8Rewidtn76qbElNrzzjrpM6zf8HR6Az/ltUpSTuy5c WwifBOde+IHs/HNuxToeNmyYGRN21ZAhQ3aKCQqxX/jAx74PNRbWCbo/96Hr cw5WDEloHgKNOsch9uxQ35v3ngSwC3lnq5YtzX7h0o/n4hsn9oBn4gsm9wo/ JTVD2GN89gjeFVomZRl30nyotHwY+rt9xnF5QX6E2u9C0DmEHeQDX53FIq1d J6gtEFtiaxHB/19GYqzo54q/h78jv11dEh69bdw4I5PZ5+NiNZDj+MFYcy7w O5H7wTmjPW98osi+SJ4JthS+32JnRcTn2bNJfG740qJ1l9kzODOzOh92HGs7 6gNb5+gtxeqU5fU+fP/UiyJGCD963Fmdq/sgJ9j/ojGIvjoI5w3EDNkzXvya 7NmMmfnmm4iBcuUrdbGsXRInL/gt34SfEl6CF6K2Kf/99KJFJmaP5xh+CmTf o1ewb/Duchdy2K6HUvY9eZdna3lfzr5315ePfc+ZRnQNMufE2TM2O8f0DYvm goV6VhaZAJLyEHllxJ/zzgn33Ve0jgQxouzNWe37kO8rx/sWecqnEDIjjRzI goV6L8BGtOuOWIa0ugN6FvuSfRYXsYR278Auwd63f4POfIurE/KdxP8S42Ji LmL0HB+ktf2I80aPhc7u/MOXxJLiI+K+7lo+vezQKdR+4YNy9n3IsTSifV/L cxxqzw7xvSDvPeknTWPiFbAnzZxq+RTFCytXqi6FuI1i9wCfPSKUTAo57nII wYchvtt3HOhHofa7UHQObQf5oBw/ZrHrBLUFetgSh9FH70/wVfQsBp4irwle iMZjoJ8S98h6wYdF/FQ0vgc/Fj6ruDMm1gzvRpclhhk/VlRuw//k4rBOyK0q FiPJ+mbfZ5wXX3zxTv5fgE+VWixWlnCmFnf2xLk08ef2HI29pVrvY231799f tWzRwsQVkRMTvZgj7ILdtFziGcTMvVLI37Xw1UG2OfKYGB7yhsr5dImVO7mw t8bJC2xa5hlZSCx0sfw6fPnk08FH5CanyQUDUfsevYLxIb/LXch18qx87Ptz PO37Fgce6GXfo99gU8YBec6Z756FeHF0qmi+TKhnZZEJIAkPwQusEWLzOnXq pJbrvacY8KOfUPBLpLXvQ7+vHO9b5CmfQsiMNHIgC4hdsPp903gSnlFYsC+h e7n2PXmLVjdDHyQuwv4NmsfFOdozQ+6B323NpSRIa/uxnxL7E7ffGZ7r2tXc R67GM4sXN/0t1H7hg3L2fcixNKJ9X8tzHGrPDvG9IM89CRhfq7YBS83pp598 0nQPvgfyrOLgs0eEkkkhx10OIfgwxHf7jgNbNNR+F5LOIe0gH5Tjx6x2naB2 wPpCllOfORp7TwwU9S6wX4xftXv3nfyq+NXQMfH1HHLIISZ/xI13hS/xp8XV 5uMefm/PyDhTfC7Ca+zr6GbkaBHHVQzTHP15UBH9mT2BOtVWlpDjGhezhl+P 9cY9xXrx5PU+9jLqbnD2h3xjf4u7jtN/w45EjlDfJ3qm56uDfL5tm6kzYu1i 6p+UA/YvPvdi8sLKk913393kD5eKE4RX0Bmy5EhG7XtTF2XSJOOjLXfB3/Ba Nex7cxZbIueYObU5//De/REdN9SzssqEJDzE3st5Nvee2aePoWsxhOhXF/p9 5XjfIk/5FEJmpJEDWYA+b/MQuYiVpF5yGsC/9EFw7XvOPKxMMTql83d0wjg8 79ThR69aWaJuaDGktf1K9RJ7Xe+vlodZwwsd31yo/cIH5ez7kGNpRPu+luc4 1J4d4ntBnnsSII6ZOADup64pdVijoCcKfnLugc5Ti9hvPntEKJkUctzlEIIP Q3y37zi4Qu13Iekc0g7ygQ8/ZrHrBLULfFbw7v33329iXa4cPryphnT3GFuH +s3458h7srUpqMlA3lbUlokDtSwvuvBC83zO1OhlQT6qBTo2/Y3IZWG9FIOP /gxvjnPiNovpz6wlm6tD7jT1Jqv1PuJ6ibVGb6AGF3Fo5S5smGjvrDT2PXNJ /HI5lJMXxN6RL7z//vubfbjSqGR9PYuK2fcldDD81NSR5l58q+yLrq875LNc JJUJSXiIGmrwI/eWyj0DIez70O8Lad+Hkk8hZEYaOZAF2PI2lpGLXHzq+KQB +j+1E+yz4O+bHf721SlD8FslbD96E1E3wjxT20Ju3Geo/cIH5ez7kGPZ1ez7 as9xqD07xPfGoZJ7EiD++4ILLjD3k9+HXI7GDHCGSr1/4rlL7bch7ftyMink uMshBB+G+O5q7Heh6RzKDvKBDz9mtesEtYWfNW8SAwVfISupw8UawC6ycVNx chP9k/2Nvg62dzE+nxYtWhj/FmeIpXw8yGlitogD4bennHJKU+0Ino3uis1S TterlP4cd06a1/vQR6klinww9aSfeqokDUqhmvY99UmRv8YWEft+h78nscnd c9vomWToZ4G0MiEJD03Xa5+6x9xLzDk1l4ohhL0V+n3Vtu+j8imUzMjbvudc zo2bIeaGM4Q0MPkLQ4Y0PYu4TWoSWjSqfR9yv/BBKfs+9FjEvs93jkPt2aHt +zz2JMDZJHSGBtg39NuM9hm0ueP8PS7n3yJP+z7kuEshFB9m/e5q7Xeh6RzK DvKBDz9mtesEtQN0Tfxe8A91Ksk7Jd+CtePmNcXJTQBvvqf1M/o+ss/Dz9xP Hgt2BvtDsfwtQA8Le5ZIvUl8Xvio0NOog0H+1+cl9HDQiPa9qROlaWp1VN6Z FtWy78nlQQ4iG8jlo//o/zx7eqRFo9r3nEteWziXtHGTbo22kM/KIhOS8BBx cPiIuRf7jp6zxRDC3gr9vlqz70PJjLzte84qqMX9u0J+JHoTdX7TgDhC+g9b OjKH0Z7TjWjfh9wvfFDKvg89FrHv85vjkHt2SPs+rz0JcPZKvxn6kxD/A62p +4/NZmHfyZzTg6aYvZOnfR9y3KUQig+zfne19rtK0DmEHeQDX50lq10nqD6I T8UXSr8E6oFjI7jxHz72PUDGMtfkjRDXYWudmvyNv/1NTZwwYYd4ExesceKs 9i/0QCUvFh8tvir6XUyZPHmnWtNRNKJ9jwyBbvTrwCahd2Van1m17Hu+YZKW A9bPSQ4RuXqVRKPa99QHoz8K98bFTYZ6VlaZkISHeK/1D5+qx45tVgwh7K3Q 76s1+z6UzMjbvmfc1A2iTzDvxM7HnkujP2Bn2lxGnoNu5MZpNKp9H3K/8EEp +z70WMS+z2+OQ+7Zoez7PPckC55PDTFigZo3b67atGlj+vixp1MvdeDAgSZm evbs2SXpk6d9H3LcpRCKD7N+dzX3u9B0DmEH+cBXZwFZ7DpBdcE6IA6LmAsu dN9ozchSchPdk75arq7K7/E3zZo1y9RIQr+CV7E7ojVNXbj9xOGh8ePHG/8V /rHXSvzOohHtewAdbcyObw1nbEjyWd3c4mrG57v6tm9fa/Kb8B2mQaPa99uc uaGOzJIlS4I/K6tMAEl46BGt79k9o9yYQ9hbod9Xa/Y9CCEz8rbvwYdbtpge FvacwNRR0nOQBMSloCNSh5hnkENML1+Xjo1q34NQ+4UPyuXfhxyL2Pf5znGo PTvE9+a9J7ngPfTuZK8fOGCA8Ynfcsstxq6hPw3926P1/qLI274PNe5yCMGH Ib67mvtdaDpntYN8UI4fQ9p1guphi9anqDFVbH8G1CGlF3Gc3ETuzte/iYul wqdDTWTbk9TYWAsWFB0L+SzUbmBt4RvC5qDG5Rit47oxL8XQqPY9dtcxxxxj /kZdT+pElZIXnMtSbwT9x70POdOnoIMUm2tQCfverZ1F7RDiwqP9P1zQZ5R6 98TfpUEe9j316fpqmWttiHlz58Y+Dz4hhzGEff+WnkN8uvipOVOJ1ksK8ays MgEk4SH8wtRS417Oi+DvYv7gEPZW6PfVon0fQmZUw76nPtHjjz3WVCeLsdOn yEf+W7g9h7HxsQmjtM7TvveVuyCELRRqv/BBOfs+5FiS2PdJaB4CjTjHofbs EN+b955kwdkwuf3EJ5PnTy4XNg59dqhfQy9Anz5ledv3ocZdDiH4MMR3V2u/ qwSds9pBPijHjyHtOkH14PZBZM+Ep6N5Vs8880xT3yL4jB6SFvAivE3eJP8/ CniB3pbYEMcde6xaop9VCvjd6F1qdTNsFPQ9nzXi239q3K23NsmSMUX6S7u1 x7LY9yHehx+N+FLbt5PeMfjQ4mwS4miIqyNPh/3ZrYdObQ96hJp99qCD1MMz ZsTScVsKOQdPdC3UtjF1r5cu3emZI0eObMp7Jq7njjvuMN8dBfKRODz0enqS pgG0IU7L0r3U+XoU2N+DBw1q+m2XIn26mJehhRpeRt+cMGEnPkW+8x3kMHJf XA2WJDY5Mpe6Y/Srx2ccrXcf4llZZQJIwkPQ2/Zyxx9cqi+a+17TQ6ZE7/q8 3leO9y3ylE8hZEaSOURHgg7EEaapw+7iSz0eagTT94/5Yd94auHCkv25LJAd I6680uRfcL7Qq1cvs6dEYxq9ezJpHfJErUtmse995S7ARjrvvPPMvQe1aqWm T58ee5/b47H9kUea/lAWofYLHxA7StxoMbsr5FhMv2n9N55DbuoELW+LwZfm xNdim9OXmhgP+CcNGnGOQ+3ZIb437z3JAv/VxVpWo0tkyTP22SNCyqRQ4y6H EHwY4rvz3u8sKkXnLHaQD8rxY2i7TlAduDFN6EMDBgxQmwq9FfHhIFepn2j1 UutXRedk3vGDwQM9TjnFPCsK+JF6VvAo8SvUjygF+OZ2rdtxrsb7TP2rzZu9 vsXNq73ooovMmo+CMTNeK0uovxrn5zP1lws2AP7A8TG9MPN6H3ottin6E3/H Vjxc//9rrrnG6NOcIxPTQ47PYP0MzpvpsxmVbcYeLZxLM2724h8LeUroJ+g5 vIt4JXt+zbzdNm5cWbninonG9V1Hv8avj61sea1ly5bqfL3vM1b+Rv0rYvD6 9+tn9IFVKfRNC2wM+nVauqNXzCiiV0QBj/Yv1DjhOvaYY9TixYt3uo+5JUYA GwQ/K3lWyGXGzIUPlz2ih15ftl473x+NN3ZtcuZ4fpE4A3qecoaBTU681pcx +0mIZ2WVCfxvEh4i7gveZSz2rIgzQd7j2mXw76hRo5pkA/F46JusHfwovgj9 vnK8b5GnfAohM3znEBuJMzm+Hb2cWkdZdB3ewffR84r4RN6NPkd8TLE4C37D N5H7iF+AekfsSZxLxPXkNnWNx4xpojM1juPyGjmnsDZDuTzFYvCVu8D0rCzE BCEzJhWpW875iz0/adu2rZo3b17T30LtFz4gXtTWMSSWO9rvIORYPtB6wIWF flSs2bu13MpKc/aYs/TaxyZn/CNGjEjVW7oR5zjUnh3ie/PekwC6LbFU+JLw AU9+8EFzTkxNc+qqkYeAr3j79u2xMsaFzx4RSiaFHHc5hODDEN/tOw7881n3 uzzonMUO8kE5frR6SCi7TlAdEPPGeQf6EHNNHDF+I/j8XM1T5EKir9k9nL0L Xubf0emwo9DD9t5rL6NvRvs/mLOyIUNUOy2vsa986l6wZ6DP4UO76847d8qz igNrbfTo0U21l08//XSznqP40Inz4upD/Yq3397pPrf+MrTh2a4fK+/3ff75 58afRo1Oe+7IXoY+jazDh4Z+0qlTJxN3FHeGBu2xT6hDwrj5LfIPfym+uNf1 GNibkU+sa/uei4vYIhbIYvp62Jxm9GtqhETP25BZ8ACx7JYe8BMxe+Qs4nNF z2Ifp0d5EpvNBe9Fpncu+HqtvEf/Kte3ExrNnjXLnPfb3yK/kXXR2ERkHL1Y GDf3sQaQmfQw5aJ220itL+Kbbl/ot8496EvQx+Z9QdtLL7nEzAl6K/R+8403 mmoHfffdd2ZOiE3F54qdiK85bu8J8aysMoF5TspD8Dc5a/CO1d/ha+xb9HjW A7lt5LjanFDGh41ODAX9bJMg1Pt8eT9veWG/MYvM8J1DE++iZb/NmSdG1vb1 SQvkEOe19ARifaFHEAd4s7ab1r7+uqEnPGtzAslzpGcPa5WLMxXidePOHsD7 mzYZO8XS+fzzzzf+OBf04cJ2sbk1nF9SuyHpGYqv3AXLtNyyehdnI1dfddVO /h3uJRaU8dizJnjWjfMIsV+UA+PgvN7K87hxhBwLujn3WxsPfaNYLrkvzTlL tr5X68Mrdr5cCo06xyH27BDfW409iTGOKchs5pXvRAZhD3XU33Oipiv5C8Q5 I3uIn16pddcfIzqu7x4RSiaFGrcvsvJhqO/2GQc8m3W/y4vOaewgH/jwI/tm aLtOkD+YU/ymnF/Bo1ZfhFeRjUuXLjV7KLIWPrM2Cv4k1gP2Aj4s9kXifNGH sYWIReU3+FnhbeLVvti+3WtMNtfKJ/6W3ijEhgzXerk9j+PaT8sB4gaRCcSH YcOgi+Djtevf7hP4ltkDeC+6Iv2xz9S/RU+09/FsdH/OJ6jxnNf78FlSd5P9 jz2Odcmat7Wj7MXcMIfEWUOTOCALX12zxswRc8zF2mbcCxcuNGfPxMXSd5Mz Qfts5MC5/fubXlVvODYJ7yEmjrw8zrg5w7b800HzAmef8I/rI8VGfkrbxPj8 rG/SXoyFuGXq+KQ5S4JO6PnwDrLcnpXaq3mzZqqn1gmu0vpFNDcPW4L+2NQ7 RUbbeHqrS3L+T34lfYLWOfYWNMAPzG9svRHmpnXr1ia2ET8utIWX8RkQQ0a9 PWrzWV0IuU19JvYK9CX4hZwr+AQ7hRz507TeQmwqNQSKzW+oZ2WRCVM1DaGR Lw9ZwN88E92aPRZ7G3ryXGoTIluIlaB+bOfOnc18YH/z36u1Hbc9oe6a9X3s dz68z/rOUz5ZeWG/MY3M4NuSyAHOJ6gpxJqBhsQpb0xZF9MF8opxEUs4duxY ozeh17G20ePRCaENOhR6BmuO3kLEZUKrOH0InYxYHM4arW/HfhvPY03wPZxH 3HrLLTvMLd/HOibeJcn3lZO7nF+hz3KuaXnRjqv1IYcYfx3+SmQivh78hYzD xk1be/J6TSPi5UGI/aIY0P3QPZnz47XebJ9txzFKyz1sPRvDkWUsfDPvwk7m bNelDTREt2Ce0BPcPcOH5oBzrBM0LW1cL3NNrG1SXbrR5thF2j075PdWY0/i nS9q2cMcuuOPuxgL8hg7EruTNeKrHzHukDIp67iTIi0fhpbFPuOgN0vW/S4U f5RDEjvIB0n0dcYX2q4TVAf4XlhD+E/xQdNflHVHnjBxJexd+GuwS4hZmTlz pol34W/wOPFsxBxzXkLMDGea2MDoWextSetHIs/ZS8gv3V6GdziXRD4Sl0y8 GO+3FzFbrF3eDb9yNoZP4jnnHi72DXRs9mB4m+/ht+49PJv9mxhB6JLX+/Af uj1geDb7IfoTZ6+sQXxv5FkTr1ZObvB35oM9j/gffG/kveGn4UyMZ+NjXBYd sx7fem2TunG3hvZ6fJwlsr+79/Pf0Ii5iZ7nwG98P7YI+z/jwG5iv0cncL83 CfgdMhGZizyMfoM7Lny9LrC1iaciHys6X/ZCz4R2UV0J/Yd3Ep9FXCZ5+HwL 3876YO3w+zWvvNIU2x09A+Q+bDzmgrhCnoEvmhgo1h2/x8/tE9MQ4llpZQL7 axIecsEz4cP169eb2gD4rMlFt7GgPJv5xV7m+cSrsYbS5qRleZ8v77O+85RP UXkBksqMpHIAfuM5+B3wV6ALZY37dMHzWa/wM/km8ONVWhchBgW/CfYYcwbd qeVViq+x26DR6sJe5V7sX8gfxo6PBN/c85G5hSb45qBREpSSu4C5hReQP+77 kGPER+J/RI4ie/DfPR+ZmxV6/qH7V5EYo6z7RbH5YG3E8b7hQ83ryLkoD6QZ C9/Mu4h1QceIzhm+H+i6tUCfJDS3Y+I7yP3An8c5M+ftPrUeomikOY4izZ4d +nursSdxxktcAD4MaIqfgDgCzjSpGUheAj5zYpbw8WNDkh+HHPfdI5BXoWVS lnGnRVI+rJQsLjUO+C7rfheKP8ohiR3kgyT6eiXsOkH1gGxEfiJrmbPoXolv DN0SW4b14erUNt8YEPthfZdcVu4mAWew+Hw5swrR67ERwfpDb2A++N+4GlzF AE3tXLK3pM1xzwq+AR2A/ZvxpNGpagXQlG9hH2D9uN/C3LCX+a4D7ucZ+EW/ KsxR2nWQ5VlZZEIWWPv5a/1e6gLwDjtmxoBMCcmzeb+vWsgiM8rB8gJroJIy m3UEP1LjC10e/RDbn3fX+hxVU+5Wcu5reSw+NLfrH98EdTGK1XcP9b5KIQ+6 VnvPznNPwqbCZqOOD/5UaMr+jl8C2bPlgw+MPxE7CD8CdhM1H+kBMKNEfcVK o9rjrhVZU+lxVJrO1baDQtt1AgFr5uqrrzZ1xkPEeAoEAoFAIBAUA7o5cU7k zEf7mwh2PeA7wHYjNpnzWd8YCOw56sOlqeEQAvU67npDpeksdpCg0UC/E3Jj Tu7a1eS8pI3TFggEAoFAICgHdHViuamX8sLKlXUdRyYIA3IDqI9GvjbxyL4g xplccWJBqoF6HXe9oZJ0FjtIUO8gp4bcKfo60QeF/BryTqlVcc4555jcDoFA IBAIBIJKgFhv+mpxpkYuf4hcdUH9gzpi1DalRh91JMv1HiCOmTou1ALhXNfW OM0b9TruekMoOosdJGhEwNPUpW7RooWp/UxdG3pXEO9CHfOQ9ZkEAoFAIBAI XHBWTx0vcmRF5xBYUEuMnrb0w6F3CrXSqBXO+Sv5G9Tsg2+oC0itMfq3U1Pt IW33UROkWrnJ9TruekMoOosdJGhEUNvyqEJPcHs1a9bM+LeohSsQCAQCgUBQ SaBri10jcEGdtIkTJ5q+7eim9Nqlrx99xei9Ruz0Sdouo/cs9tlgbbvRg4W8 6WryUr2Ou94Qis5iBwkaEdSYJA8FnxV9Jrt06WL6ndBXp9brIAsEAoFAIBAI Gg/YYNhw9AXD1urerZvJtaa/2X777qsOb9dO9ezZ05zLYqMR/0Hd/mqjXsdd bwhFZ7GDBI0I+i18tnWrWrNmjenvTB9L+liID1EgEAgEAoFAUE3QU43+m+RO 0zv9hRdeUKv0RRz2hg0bzN/o2VlrqNdx1xuy0lnsIIFAIBAIBAKBQCAQCAQC gUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAg EAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCASC2gb9K7ds 2aLmzZun7rrzTvXiiy9We0iCOobwU2k0Kn3+/e9/q7feektNmTJFTZw4Ub3z zjs73bN582bzzaNGjVLPP/+8oUU5/Prrr+rDDz9UM2bMUCNGjFAXXHCBGjZs mJoyebJav26d+vnnnzPdL6hNpOEVQeUg8yHwQV588q9//Uu9+eabavq0aeru u+5Sr65ZU5H3VBLQ5rPPPjN94+fMmaPuGz9eTdb71JIlS9TGjRvV999/X9d9 4BtV13GRt1zcFWgqyI5t27apuXPnqqFDh6ouXbqoNocdpjp06KBmzpxZ7aEJ 6hDCT6XRiPRB91inbebbb7tN9e/XT3Xs2FEdfNBB6tSePdVKvde5+OWXX4wu 1qplS7X3XnupwYMGGR2mFH766Se1aNEiddlll6k79V42e/ZsdaG211sceKB5 z1lnnqmWL1+e+n5BbSINrwgqB5kPgQ8qzSc//PCDenHVKnXD9ders88+W3U8 7jh1yN/+po4//ni1YMGCYO+pNPBNLF68WA0ePFid3LWrGX/3bt1Uv759VZ8z zlAndupkrjN69zb72AcffFDtISdCI+o6cchTLu4qNBWEwZdffmn8TZxtHXDA Aeq3v/mNOvjgg9XDDz9c7aEJ6hDCT6XRiPTBvuesnH2nn7bv/7Tnnua7Op94 onp+xYod7uVcfcJ99zXdg629fv36ks9etmyZ6nLSSWqQ3jffe+89c56xdu1a NXDAAPX73/1O7b/ffuqB++9Pdb+gdpGUVwSVhcyHwAeV5pP//Oc/6t0NG9SC +fPVRRdeaGwq3nPE4Yerxx9/PNh7KgXoQ1zbmDFjVPv27Y0e0L9/f3MW+/LL L5v4t9dff10te/ZZdeutt6qjjjpKHajvOeuss9R8/X3ffvtttT/BC42o68Qh T7m4q9BUEAbEqRJTu2L5cnVK9+7CLznif1oucNUr4sYv/PR/2JXo89///tfo HbNmzlTt2rYtat+DtVp3ufzyy1Xfvn3VvLlzjf1dDP/4xz/UcL2X7fWXv6ib brrJ+Mrt+4hJGzpkiDn/WL16dar7BbWNJLwiqDySzke973F5oN5o5DPeSq5b 7ClitDj/fmLBAnX03/9eN/Y9Y2aMPXv2NH7mv+m9//rrr1fvvvuu+SYXfOcX X3yhnnzySXM/e1q7du3U6NGj1Xs1FjezK+k6cchrn6okTetNDgn8gbzgfKuR 12AtgTX6krY3kAv1iHLj39X5aVelzwptz3fq1Kmkff/jjz+qjz/+WL2/aZPx CZTKLeR5xCju+9e/qokTJuzwN85xPvroI5OHRsxmmvsFtY0kvCKoPJLMR73v cXmg3mjkO9681i3n3Keffnpd2Pf4mMkfOO7YY9Ufdt9dHdSqlbr99ttNzPWv Jewq9qoXXnhBnXHGGWq33/7W+AWuGjXK7GW1gF1V13GR9z4Vmqb1JocEyfD+ +++rC84/v6HXYK0AWb506VJ1ydCh6qmFC6s9nMTwGf+uzE+7Mn1WrlypTurc uaR9nwTTp09XzfbfXx3QvLma/OCDwe8XCAThUe97XB6oNxrV4njffustEw9d D/b9Sy+9ZGrSYNtzEUuGTegD7MdHH31UHd6unflW4vXvvvvuqscz7cq6TjUR kqa1uK4FYSFrMD+88cYbJo6HujBPPvFEtYeTGD7j35X5aVemT0j7nnOLm2+6 yeTMG3t98uSg9wsEgsqg3ve4PFBvNKrF8b799tvq7LPOqnn7nrxp6gH++U9/ ahor+fY2f8wH5J5RV43fc47PPpvVf54Vu7KuU02EpGktrmtBWMgazAfU+7r0 0ktNTZij2revu/XkO/5dlZ92dfqEtO/JPRw5cqR5lo+9nvR+gUAQHvW+x+WB eqNRrY63Xuz75557ztTHZ5xc5w0caPLEkoDc64ceesic3fMMfAVjx46tWr29 XV3XqSZC0bRW13WlQI0Lal3QN5n6lbaP4fbt203PpVtvucWsKeJAobGbZ8H6 oy/CzEceUbfcfLPpaUHcwz//+c8d3kG+DXmi1M2wF/2aPv3006Z78PcRz+Pe w0Ud6FK5o9RH4Dm894EHHjA+Q/pWUWuUfJ1i9ROK8ct3331ndHZigajrQT1P +nJ+9dVXqWm8w3g1/RjXY489psaNG2fececdd6hFTz2ltm7dWrbeA/OzadMm U7t7TaH3KXNFntPNeg4e0XOB3zMO5OPiu5o2bZq66cYb1Y36emjqVJODQjxU KTDXvJdaGvSfHH3ttep6zRf8nv7a5FpFv5MeYvhfyZ+CzuRfXXP11U1z++qr r8bGW2UZZxb6ZBl/aH5KSu8oyC96U9OQdcu6srShzil2IGv6Nr1OyHNLk5td bfpYZOEVXzAX8Ay9feg5zJn5w1peIjeRYz72PXWG4EfoAi0sGCM6G//OXJ12 6qnmWfvsvbehrSsLX3vtNWPTJ7mf94aiWdq1lWWOQvNx2v0ixLf4ohivuKj0 +o4Dzye+9llNu4kTJ6obbrhB3XPPPYZ2vJcxlUM1xm0BrzL2e/WYec89WuYQ n/mG1jHII/36669jf1dsPrLscaCSvPST/v07mqaPzp5txgCQtatWrVLjx483 fH/fffcZ2fuV1r3KIe3cV0MPyMJjWcbrs25Blr09iX2flt+zAlrfe++9TWf3 f/zDH8z8ldNZ4kC/2c6F/ZWrd+/e6s0339zhHp/5vuaaa0TXKYE0e7svv4Os dk9WmmaV1fUE5pJ+G+RrXnzRRaY+E/00qb/8zTffmFqF9E9GfpDbud+++5q/ Q981r7xinsFcQdOTTz5ZtT7kEHMffrb2Rx6prrvuOvXRhx82vY9nsq+MuPJK 1eGoo0xNzF69eqmleh4svtX3wCvsPfyNe7iu1bLP9QO44LmPzZtnxjp8+HCz ltHZ+KZjjzlG9ezRw/B/3P4Vxy/022Tf+3uHDurAAw80NauaNWtmenrcpfV6 dOss4PeskwHnnmvGO2XKFKNbnn7aaerII44w9SHpJYmvZMKECWYfxS/COmIN zNd76bArrlAnnXSSOvroo9VU/W2b9XewP7Rt29bMAf0hJ2kaWD8NgLdZu/D+ +fqbqbfNtxOfctihh5r552/F+o3ybvprnXP22Wbccx59VD2l1yW/6abnHzoj F5A/FsgGvo+xYntYG6Rr167qIj0/XMwVz846TmRDFvrEIen4Q/JTGnoDZPxb eu+7T68hapFAN9Yw40TeTXvoIdN3lp7orOnmzZubdQKfJd3rq0kfkJWnfWFr 5KNTDRk82KzLqfq7x2oZN+jii807Wbtx9j3zgY7BXDIf0JrcSfq9WCDDZs2a ZehFr722bdqYZ+3xxz+ab7G05HpQy2v8qUnu/3zbtkw0y7K20s5Rpfg4y35R aX7z4ZU813cUrHfoxZguv+wyM8/jtQ5PDmPXLl3M9183ZozaoPWKaK2lao4b MB7qkl2h+Zeaz8QJ45ebM2eOOcs5Ua9bdBN6eLljLjcfafY4O55K8NLPet19 sHmzka3oEZ1OOMHUNpuh7R6+jRpl1F5v2aKFoTP/i+xFxy3VvzrL3OelB4Ti saTj9eETF2n3dgsf+z4Nv4eEG1fP1UrbUdjeaQAfcPZvn9VG73fQJ+l877PP PqLrRJ+bYm/H/k3C7yCt3eP6DLPSNK2srkcYv4u20/EdHt+xY9Pagf743ZAB 2PrQAx8v9N/99783/SqQ488tW2b2Cu5Hz31w0iRzP3Nta2Eg/62vjJyb77/7 Ts3V8gX7nnuom4Evx4J7GBd+A2x69FXuY07j6mayj9Fng/MranLSQ/Pzzz9v 8ln2OOUUk5eK/os+HvXbRfmFPY5vQe6OGT3anNPxffA2uT+H6nUET+F7TUtz dEf4mfe+9uqrhv8+++wzI3eZB96z5x57qENbtzZngsh7fOT0CIXG/bU+31zz L/f9Vcurq666yvhYep1+uok1YY7428gRI4xfy+KV1avN+iGWFzm/8d13zV6M f4U1yjuJ78UnDw1dfKnHCC3oa0I/UnpuoSez/3zyySdmfUEjZI1bqwL5S49w aqSwpqAz38V48b9y8XfX75h2nMTcZKFPHJKOPxQ/paU3sH40/GvW7vvLn/+s rtB7PLE1/fr2VVdrmozTewHjYt9jLKxJ/LRJaqBWiz5ZeSUJkPV3FmTkZVom sg6JRSLWaLOWP/hH0aFtH1jXvme9Ew/FN7KOGQ/3nHD88aZfvQW2MPMKvZ7V 9zNH3Ef82NWaRpaWXMhB9tck9/+UcX1lWVtp56gSfJx1v6gkv/nySp7r2wW2 H/PN/o5dQFwI64DvhA73a10PnYpzEfiBuD933VZr3BbIHuxS5BS+McbDWeI3 Ws9nDVEDjMuec/vOR5o9DlSKl4h/nqLt8DP79DG6LuNBnuK/wt5i/Kxj/vsY rcdbHQt6Y6u/E9PDOuvc56UHhOKxJOP15ROLLHu7hY99n5TfQ4NzOp5v7Qp8 SvBFGrg5aDZGH7sl6XxjB4uusyOS7u2cbxCv48vvIIvd457BZ6VpWlldj+Cb OZfCz0ZMA/PH99LHmVgM+An6MzfcR8/NEwq5NMimHj16mPgQYueR9eic6EnM I2sN+rK+iF91wf29e/WKte9dEH9iYyji7HvGxPyzZtEnTXyHs14ZD7KS7/rd brupvuecs9Pe5fILMgMfGL4N+034+OD/YcOGmfgidL8hQ4YUjSUoB9YicrtV y5Zqkl5T7lrme+7QOqfdk7EZyJdATrJnQ1vGiyzHX8492BTYE/hRXtX3se5H 6fUPvyO/7BkacwyN8LEhD91za2Q+Mcc2Twp6zpw5c4exsX8xbub0kksu2SH3 ApoTX4MMoD4q9kU0N4p4Ivqc8PxS+S5Zxsk709KnHHzHH4qfstCbb2LfQ1bZ sbAGkK3EqEHXrfp96Bkb3nlHXaZ1AP7OeHgWv02KvOkDsvK0D/Ads06J4Tqj d2+j10afwT6Fj5vxRu17xoRcwtdNXCTnCOX2QmQu+onVufFjl0KS+9PSLO3a yjJHofk4635RaX7z5ZVqrG/2HnQC9mNsEvwi0RpZ6GGcA6Ab8C7o9LpeL9Uc twti1FnHA7QujF/OBbYV/hxicVa//HLTeJOsXV8ZCCrJS/Dxlg8+MOebNmeI fYIzfL5jtdbrWMvosa+88oo5S0Oft34A1oir34aY+6Q0Skuf0DzmM96kfJJV lwI+9n1Sfg8Nvt09N2SvWJGyLg1+VmSzfRa0w6bn35PMN/uy6Do7IuneTj4J OTpJdJosdo+bzxGKpklkdSOAGE7Ofvhe/DX4V6IyHBpxpm/X1/nnnWfoHe1h uc6RPfiHn3766R3/vm6dOlvzSTn7nlgOW1Mjat/zTp6LTxA/Dzwf9cXx308v WmTiNngGYypl3xOnwZrnO91v4jnEruD34L7u3bqZM7yk4AyNMyP4zvDUk0/u dM8LK1eqLgW/UrF72JcHDRpk7kEPxe/GdzFm1gLjJ47Hyi72auqTEGPD2VVc 7pFrIyD/2HfcGBV3Loj1+jISu0oPSeaBv6MXR306PuspxDjT0McHaWR6Fn7K Sm+AnsceaPdE1ivf7e4NjIvYQPJuTOxOjC5Qi/QJxSvl8KKWK+QeMRcTtP4a 59dlvMR7s69G7XsX1Bqy/tFq2PchaJZkbYWaoxB8nHW/yIvfLHx4Ja/1DV0W Llxocu44H5o4YYKp1xMHnk3eg13f5BNHZVeecskC3rxt3Dij75l5jYlJRkfk HAfeiMJnPnxlYF68tNmRtdiKnOWyPl2+h87YipzDoNNxEdtiz3RDz31eekAo HktqB/jwSYi9vZx9n5XfQ2Ch1l0Zm50D4n/T+hKwB/ke+ywu4khsjJjvfPMc 0XXikUZv9uH3UHYPCEXTXc2+h3/QDfneiy++ONaHxFkWMtuuIc78484/8e0Q w8E9+HORZy6w78/xtO9bHHhgrH3P/2e/gmeImS2Wt4I/h7wm4jaoJxCt/+Ly C74lYgbiYnaIoSKPh/uIUXtm8eLY95WC8Y/odVeKpz795JOme9gDyI2IYpuz lolnIV+lVM0SZHv//v1Nnh2xO+RkRS/8+PhudtPrmucSp/pKocYCoN8q9O6j 18QTetzReedecsb4bVzMl896CjHONPTxQRqZnoWfstIbsC8QX2PXK2s36osD 9jyBe3imrauSBHnTJxSvlAIyBZoR79epUye1XO9lxYB/+4QTTihp35tvKuht 1bDvQ9AsydoKNUch+DjrfpEHv7nw4ZW81jdnR+TwQjvyMp8uEWOLnCI/0+oS nK+wNqoxbhecVRDPi+6L3GF+o7WXOEfiHXH2lM98+MrAvHjJ5D8PGWJ+z9kY /sk4WYu9PnvWLJNby72cx3F+Zp8Rcu7z0gNC8VhSO8CHT0Ls7eXs+6z8HgLE +1obq2mOVq9O9Sy+BxvRte/JP3fPsHzmG4iuE480erMPv4eye0Aomu5q9v00 x74fVMS+Rw5RR9+uIXLw42JA8Bshv7gnrl9TCPve8tXuu+9ucv5LxaLg70Jv izt78+23QKwZcQ3cR+7OwiJ5UaVAPAv+WJ5BLULqdUXBXkssHPfw7VNj+Jxa WdTBsD4saouUAnsINQqJz0C2sa/EXcfpv/FO1hf1Jty4C2gH/cnDi8aLEV9G TQrm0vjLundP5S8LMc409PFBGpmehZ+y0ts+g7Vh1yt7Qxyed2rT4kNdWaJG SjHkTZ9QvFIK7Jt2DOSyIreKwac/HjV98SVXy74PQbMkayvUHIXg46z7RR78 5sKHV/Ja38gWZIyvju6uBXRSzg6qMe4oOKvlvIEzzUP0/ntlIY/c8gL2AHMf V9PMZz58ZWBevPSJozOTV0uObTEQc0/sr9XtqXuF3hx67vPSA0LxWFI7wHfd Zt3bfeLzs/B7CGBTES9l54DYb2rXpwE0u9mZTy5yr62M9p1vILpOPNLozT78 HsruAaFoKvb9zvY9cmGcEyNTzL5H37y8oG+Ss0WNRRch7HviL8jx33///Y08 TAtffqGXCPm3hh80vxSLHykFYoEuKMSvkTsCLaO+W/ZUaj4SHxOX2wDcdUje HH75UiD3gpqI8DE5csR/lbuwbaL9DV3g12PdUleHmKErhw9vqh/Oerf9SSx8 1lOocSaljw9Cy/Sk/JSU3sB3zwvRuz1v+lSCp6OgFhDPZwzUokJfLoZ6sO9D 0CzJ2go1RyH4OOt+kQe/uQhp32dd36y9wwtxtuhMrM1S4Dzw3P79zf3UbqO2 lXuWFmLcnEViq1Djt9iFTHLtJ3r5cMZFrLqtIUWNJfLN42r3ughp3+fFS0ns e3pFUCuZe6ENtbWIXQk993npAaHWRiXs+yjS7O0+9n0Wfg8BbHkbc81FLj51 /dKAdUyNG/ss4hKw9y1vJbHvRdeJRxq92YffQ9k9IBRNxb4PY9/zzPsj+mYI +569Cp43/oM6se/xlVLTk3Ejb+n3Ee1lYfOI+Hux3Ksk6xD5xztZN6Z+6VNP JR63C3rvEF9Gz032IepQIkuop2njYdLY9yHH2Uj2fVp6g0a170PzdDFMnzbN 1JtiDOQbbXN6zEVR6/Z9KJr5rq2QcxSCj7PsF3nxm4tasu/dOrennHKKqc9W Cm6sJfuYmycbatzELJPrjawpdpGHsd6pt4Ougpzid7YnN2ebLVq0MHstsefF zjJD2fd58lIS+5745zvuuMOMi/tt7HPouc9LD6gH+z7L3u5j32fh9xAgPoFa 5nYOyP8gpiANTM5vIdeEy8SGTJ3a9PdGte/zlBeVsu9D2T1A7Pt0qCf7nr0I fkFWkRdGz8f/Fcm1KYc87Xt8VMTBUcsG/yMyitqP8LaFzb2C5+gbESd/k6xD U5fkttuaZOK0SLxcEsAT+A+pv0PdWXLrOEdBBrk5Y2ns+5DjbBT7Pgu9QaPa 9yF5pRSIT+Psg/egp1Cvqhhq3b4PRTPftRVyjrLycdb9Ii9+c1FL9j1rlDw7 H5sF0H+L2Fk7rlGjRu1Q9ybEuKl7edppp5m88mIX+yxyyQVnpe9pu4P4c+wi 9EmeT0w650b4fuJqM4Sy7/PkpST2Pbj3nnvMGsGWQNfmjC303OelB9S6fZ91 b/ex70Fafg8B+m5R8976jLDvqLeeBsTq0Cfdzidz5vZab1T7Pk95USn7PpTd A8S+T4d6su/hF+q4WH8QvmbyJdMgT/sekGdCTQ98kc31vtmmTRvTy4FvJVdt 4MCBqrd+z+zZs4t+U5J1CK2oeUu/C2wVekWm8dmiK+BnpvYOvQ84P3Hr6Ga1 70ONEzSCfZ+V3qBR7fuQvFIK6D723ONUrYe9FtPvyaLW7ftQNPNdWyHnKCsf Z90v8uI3F7Vk31NvkPrp/J7a0zMj9XKjwE6xsd7YEeinoePzbU8sYoCLXegZ rg5pwViwaYjhJ37Z1jI3ecr6+5hrbBMXoez7PHkp8fn97beb9UHuLX2xQOi5 z0sPqGX7PsTe7mvfgzT8HgLMJT0a6S/O+7Dz2afS+BP4PtufhudQH96Np2tU +z5PeVEp+x6EsHuA2PfpUE/2PXDXu29fTfJA8GW6yNu+B/hU6R0CDQYOGKCu veYadcstt5h1TJ8t9Ja4nqcWSdfhrFmzTK1J7vetGQqt0ZHYi5An6AbEdXFh 90Trama170OM06Le7fsQ9AaNat+DULxSCo/osVldqFROGKh1+x6EoFmStRVq jkLwcdb9Ig9+c1FL9j0x2dRW4/fkVFNXOa5vjgXfPbjQPwcbJrrG85RLFugp 1IJ39RpkKnG/zC21v7Abov3hLELm3+fFS0nse7e/mGsvhp77vPSAWrXvQ+3t 5ez7rPweCh9u2WJ6rtm4AVPTTtM8CdCFmT/4j2dQR+VRbQe6tkej2vcgL3lR SfseZLV7gNj36ZCnfU+/h759+zat1Xlz5xYdk839itr3bu0O+ldde+21O/UR dUHfxklarkb7teRt3+OPI8eKeCnyrYj5RebSe5K+A8SyxfV7cJF0HS5ZskQd c8wx5n5889QlKbWOOBuhpgd2Avdt0TKa+mKlfMXUeD2lUGc3bk9i7fYprKdi z8g6zrT08YHP+EEIfgpBb5CnHp0nfUAoXikFzjuoCcQ7OPvlHcXOOerBvg9B syRrK9QcheDjrPtFHvzmopbse/iLmAcbZ3uRlk3YDsWwzrE9TO9tJwc+z3G7 wK6ar2VS3L7NmqbWt+05Tm2zBQsW7HCPz3z4ysC8eCmJfU8+7IUXXmjsMOQz dhkIPfd56QGheMx3Ti3K8Umovb2cfZ+V30MBX9Djjz3WVC+Q+cRHFBdXUwxu b3RsfPa6qH2Sp33fiLoOqKR9H8LuAaFomnRd1zt8++NRD9WuoTGjR8f6ct3+ eHH2vduX1eijEybsNLfMN3KAfEnui9ZkIDZn5MiRTfmxxBlRH4Z3RwEfEQ/F 8+jx6AI97rzzzjPPOKhVKzV9+vRY+ri9sohXeyKlvwe5fLGmL3E2afOetiVc h9CbeCbbG5N+EfgE42wVxkQsK7WJ0ImJ7XJ7XDJfpo9uJH/1mWeeaeqFQm+O VatW7fB36mX0L9TVNX79Qn/dkONMSx8f+IwfhOCnEPQG3j2C9B53ot7rsux5 edIHhOKVUsCfOKRwFoXeW6q/jzsfnU44QT333HM73cMcdS3UTTK1hJcujX2W 6Rerx8p9pm+1lo+l4Ht/CJolWVuh5igEH2fdL/LgNxc+vJLX+saHj3709w4d zDPoaT13zpyiNQzoRYQ+37JwPvlTpC9tnnLJghpP6JbkA/P/o2Ae6Z8Nfxx3 7LFqiV7PLnzmw1cG5sVLrn1PndBJJepKGvl19NGmnxq6oNXrQs99XnpAKB7z nVOLcnwSam9/2+lnGGefZOV37ELeS737tD1ALL7Uc0TuB3Uc2Ed531OaT0r1 KLVAFlOjkTw5fEy9evUy59fkk7hIYt+LrhOPNHqzr04Twu4BoWjqO4fkFeAL mDJliokZgR/rEW6uaTEfLXICeWHXEDU/4/xDptZlQS82uVyRPoo850a9/ljr 5ACRd8GahRe58OnAWz169GiqX91F69ZuXA/rm7MV/p2/s/ZbtmypztdzT+9E /kb9DXzW/fv1MzyxKobfiSXoV4glKLUH4qey/s62eo+bN29eYhrjVyP+AR0c W2Hygw8a3xwxcNSfIBYUm2L79u079F6Ogn37kqFDm/yZt+lnlvJ9IUfJgTii 0OcGnwk9b6655hojv6HB2rVrTe4LsXXdunUzNLTyw40Xg84DBgxQm957z/wN PzF7FjVarX/I+svQEZhr/tf4dApjhs/QnX8s5BGx1lhDfHOWcaaljw98xg+d Q/BTCHoDE3M5ZkzTeiX+MrovArdPrW9Pn2rSB2TlaR8QT8bvqfvLOzj35cwE +rt05NupI8UZP/cRS4ftiBx0a0u58QAm3n/Rotj3frB5s5lf+86777qr5Dh9 7w9BsyRrK9QcheDjrPtFHvzmwodX8lzfxDrQuwv+wiYgXzK2t8vnn6urr77a 7HGDBw0y5y3VHLeF1V1MD3ctX6OAh6mnCU8TP7phw4Yd/u4zH74yMC9ecu17 3nH1VVfF5rZyRs/fiJXEjthSOLu3CDn3eekBoXjMd04tyvFJqL39tVdfbao3 R95RtC59Fn7HpuFclPFjG1FDIYtNxrvYC+Eh8t14J7Y1cbvFeJrfMM/kaOMX oC4b38L8xOnGvvMNRNeJRxq92UcuhrJ7QCia+s4hOsBZWufDB8A6GzFihHqv sF7rBdB/9OjRTTFYp59+uuGXKD50You4+vTpY/wyUbi1LlmXPNv1IcIz9HnA D8U9e++1l+GRiy680FzUshqp6Yg/rn2h/zT3oJvRI9TmlMC/M6ZPNzH+dkzM FXEb5FTwfOYFeUova1fXtlim14flT/Yu9rmozwIdj5gSznysbwsdulQeWhx4 7pgCnamXwdjwdbMuOuoxnNipk4lDIt6FHhFjtLxaqXXOHyP1NNycOHwkF5eJ mQPsvfhz8avb37GHIL+Rc/hU4d9OegzE9rg+W/Z/fKjMJb9FDzi1Z08jC849 91yTX8UeYOecOWAd8+/sE9CdvQubh+/m+3kv8gk/K37k1zXPQOcs48xCn3Lw HX8IfgpBb/D+pk3GfrFr43ziLj/8cIex0KMHm8bmwTAm8s6T+kPypI9FCF4p B95BjpitIY2Oy7PxbTImZBu5ZORy2fxu5g2fADFK9KIF6Br0mrL5/DwPWRZ3 hsHZP++wOiC+0lJ5dEnuz0qzpGsrxByF4uOs+0Ue/AZ8eSXP9c39vI81TU0c 4r3JcXBz5qAP9bGhg+lNt25d7B6Z57gt0D+wL9AjWB9R+9TE6uj1yvk0POLW sPKdD18ZaGlVaV5y7XvGg0y6Weux1JXgzJgL3Zp55L3QhdpI0e8KOfd56QGh eCzJnPrwSYi9nfdxXm/lWNz+mIXfbQ0FmzNPrkC5vojlwJiJM3tA0wM5i/2I 7gs/rn39dWODQHdbI4B8bHRg2wuDs1/yFuJiEYDvfP9H/150nXgk3dt95WIo uweEoqnvHBIfYM+Y7dlNsZiBWgO1TonLGa51VXtGxbWf5n9if5B9xEMQt4E8 wa9o+cvKJnwpyB18vqxLekafqX/LmrT38Wz0YXyl1n/Mu/ExMc+2zgdrvnXr 1iaOEr8OsV7EulKDD78y9fbYf1y9C98yNV7xQdrzM3vBb+QaUEsp6sti7eP7 gZ/R2e1vWh9yiNkT8YvxG/wX+BkYh43ttPxw/dixJk7KF/A9fX2grfvOuAv5 Dw1Zu8gg5Boymjgn+tASF2HvZX2d27+/2V/fiPHLAHiVvYX1iO/U1iqxF2uA s0nqXzA30XHjD+PvrAc7PtYp+87SpUuNLsEa4jnWH0NPMWQGv0eGvrpmjbGD +C0X8wMtmGebj5VlnFnoUw7lxg+fhOKnrPRmTSzWa40zSGuXWjqwB9JfF18p Pvtbte167DHHmDga6xtmbHfpZ2+M1KKsFfqE4Glf8A5ojUy3Y2c80Btdl7hV YpGmTJ6sOnfubGLGsPf579VaH4EnibdEH3bpDH066N9y7s98ImM5P2Z/we/s 0gg6su8xV9jy0Ikryf1ZaZZ2bWWZI/bt0Hycdr/Ig9/4jQ+vwI95r2+APoeO zh6PD4R9GTuEcVEribiH3r16GblELl30/KwS8+kL9k/OkNDPWLPIKc43iUVn vJyjsmaI0/xCjyHJfFhe8d3jQB6yy7XveR7zQ94k9iT5juSx0mcdHQNbELoW i5nOOvcWldYDQvOYz3iT8EmWvR1Zznkp9D5ez5mlid0fR2m9Gb8kZ+1p+N0C +vAO6MGziWNOs+bi5h5aEdM9Vu/l2HfYYNim8BLzgz2BrYffAVugn+YrYtGx L6J1CNPMNzwvus6OSLq3J5WLWe0eENpe85VDrLcT9LNsbgTfSo5BHC/WGojD QZZQO5P4RGJV7EWcEPPO+oHGnN1jOzzn3MOFrMIHAD2gL7EL/Na9h2dDS3xB bh8QdC3mnXgN4iPIw2eeGBM8gR+R36955ZWmWNc4Xxu+GMaA/wAeuF3zKvo1 z4Iv3HdaMF6+jxwVd6zIUOKZ2Mvw98DL1FpEl3bvW6G/CZ7/qkSNpjjgV8M/ ix6Jr4tezPhz8bEie9gnz+zTx/hM8X2wbqlvCu3xccK/KyNjMfOgaY7PvFwc FfPJM9gHyMlgD2Ac1AYnTqyYfxQaIyPxi+H3oncrcpW9nJga5oX5wgdDXM/M mTNNLI0bb8OziXuZOnWqmSP8xuTJfPfdd0HGGYI+pVBq/KH5KQu9kT2sNezL KB3wgbMmuA9fG340ctDce6AffjToWav0cZGWp30BrfmG9evXm5pFd915p6lD YuO62XfRP/CVQjvOx/hefmdkrJ4LYppWROjMfyN7kXeMkecQN0UeUnTe0Img 7dYCnbiS3J+VZlnXVpo5qhQfp9kvsn6LD3x5hX2wGuvbgrWArFmu1y4xoZwD 0OOIGl3s8+jTcft0teQSQJ9AN2GtvFx4PzGE9O/CfkCni9Zv9p2P6Lmp7x4H Kim7ovX17rnnHrVRy2Dmidpb9LvnbIb6ZciSYja5i7Rz76KSekAleKzceJPy Sdq9Hf2aeYp7j9Gx9XvQk3lGGn634LfQFl8O88u+Wy5uOgl4PufR0HC+tr+h AT0VqZvHWSP2E3sr30iOR1zcbdr5Zl8UXWdHJN3b08jFLHYPqARNfeQQ9OY7 ySXhHIfYAc73fWpHCP6/X5i5g3+gpUs35ov16xs/w2+NP1XPofWV1hLY++Dt KzVf4wOBj/hueBN5vkXLd+QZchl5Dl9RK4s6kDPK1HVJCmjD+/Gx8L8+uQbM A3sTa4i5iv4GHyN055msnbh5Y77tPTbWLPQ4K4mk48+CEPTOG3nSJ4pK84q1 17/W80HNIL7T6sS8Cz0iz+8NgbzXVy2t56z7RS19SzUAryN3+H70Z2ub1Cps fR/AumXsyFaukGNPIwMrwUtx9fObZJierywyOuvc15seEHpfy2Nvz8Lv9v3I Rx+/T1qg3zMe6pyiA2OrY/vz7lrfSxtZ1wmJWrJ7ovCZQysz8aFRm65YzX7B rgtkODxOrBR+LF8/G3xPrZB6yfkQCAQCgUBQXSTpjycQCASh0Sh2Dz4J4svJ 0Xf7uAkEgPgQ6kgc2rq1iY/yBbEu5A3ZPswCgUAgEAgEpSD2vUAgqCYawe7B R0GODHXhyGWqtbhwQfVBXRPqEVIrhdol5epbEidCvi+5SPi/4vraCAQCgUAg EETh2velekkJBAJBJVDvdg85NPQmJJaA2g1ZazkJGhPUNqHXH30CqLFNTQlq l+KnIt6DuinUAqE2BLVP6OVJ7Qlq15CTVMt5jQKBQCAQCGoHH2l9gprs2Pf0 iqC+nkAgEOSFerd7OKtnfNQGCFljUtBYoJ4ENWttj2z6mtLbgf4S9LugT81J nTurjscdZ/ps0X+UWt0+9WgFAoFAIBAIAOdgxLaiW9i+TvQ7p6aVQCAQ5IFG sHsYR62MRVCbgD/gdXo1EHvSvVs3k5NCH4j99t3X9JPt2bOn8V/R+wJ/UVwP ZoFAIBAIBII40O+LfsM9evQwPZ3/pHVqrkO1jk3fc3rd0wur1uuTCwSC+obY PYJdCfSxoP8HOSb0baSf4yp9Ea9CT1T+Rs8QgUAgEAgEgiSg3xh9ndEt6APt Xi+99JJau3atiYuVMymBQJAHxO4RCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQC gUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAg EAgEAoFAIBAIBAKBQOADehxs2bJFzZs3T911553qxRdfrPaQKobNmzebbxw1 apTpK8O372podBo0+vcJ8sO///1v9dZbb6kpU6aoiRMnqnfeeafaQxIIBAKB QCAQCGKxbds2NXfuXDV06FDVpUsX1eaww1SHDh3UzJkzqz20iuCXX35R06dN U61atlR777WXGjxokNq4cWO1h5UrGp0Gjf59gsqD/tHr1q1Tt992m+rfr5/q 2LGjOvigg9SpPXuqlc8/X+3hCQQCgUAgEAgEsfjyyy/N+eawYcPUAQccoH77 m9+ogw8+WD388MPVHlpF8Ouvv6oJ992n/rTnnuZbzzrzTLV+/fpqDytXNDoN Gv37BJUH9v2HH35ofJ/9tH1veanziSeq51esqPbwBAKBQCAQCAQC9T9t93C5 +Pnnn0386Yrly9Up3bs3vH0P1r7+urr88stV37591Tytv3///fcl74+jW62j 3JiT0qDe0OjfJ6g8/vvf/6pvv/1WzZo5U7Vr21bse4FAIBAIBAJBzQAb/qUX XzR2Txze27hRDRwwYJew73/88Uf18ccfq/c3bTL6O2d1xVCObrUInzEnoUE9 otG/T5AfVmh7vlOnTmLfCwQCgUAgEAhqAsQrL126VF0ydKh6auHC2Hvef/99 dcH55+8S9r0vfOhWa6jHMQsEtYyVK1eqkzp3FvteIBAIBAKBQFATeOONN0yc csfjjlNPPvFE7D1i3+8MH7rVGupxzAJBLUPse4FAIBAIBAJBreC9995Tl156 qakjflT79mLfe8KXbrWEehyzQFDrEPteIBAIBAKBQFBt2P5O9L3bf7/9jG56 UKtW6pqrr1ZPPvmkuV599dWmumPF7PvvvvvO6Ld33323Gj16tLr11lvVkiVL 1FdffVV2DP/5z3/MefK0adPUTTfeqG7U10NTp5q8cPKjQ2D79u3q2aVL1b33 3KPGjh2r7tHjJC79jbVrTe71119/Hfu7f/3rX2rNmjWGDny7hS/dsKXJy7X/ xrV8+XL16aefNj2L3gQvvfTSDvdwrdVj++GHH2LHRb3DTXrc1ISjf/voa69V 1+vvgm7r9bio+RVF0rkuR4M40D+efHZoTQ/wG264Qd2jab5g/nxTm56c/1Lg 729qXpg+fbqhiX0mv508ebKZu9tuu0298MILRWmTFL7fl5aHyoHvYy6pwc44 7LsWLFigbr75ZvXII4+of/zjH7G/9V070JX7ojzGtXjxYvXB5s07PPfzzz83 /d3c+15++eXY9Zx2/ab57ixzEELOsO4YEzS7+6671M033aQenjFDvfvuu2Zd i30vEAgEAoFAIKgm0JenTJmiTjrpJLXP3nsb3ZT/7dq1q7rooovM9cADD6it W7ea++Ps+w8++EDdcP316u8dOqgDDzxQ7fvXv6pmzZqp9u3bq7u0DvzFF1/E vht7E/0eX8D5+pnDhw0zzyZm/LBDD1Undupk/sbz04J3vK719yuuuMLUSZ83 b57Rw+fMmWPOsE/UeviIK69U77zzTtNv0PWxJx+4/35TS/DYY44xvdOed/pZ +9KN565atcq8o8NRR6l27dqpXr16qaVLljQ969tvvjH2zfjx483fuIfrWm2z u34AC+aCsZ1z9tlq+PDhas6jj6qnnnrK0KrbySernj16GJsJeybtXPvQIAqe jw3OfZdfdpmapJ81/t57TY5/1y5dzHxeN2aM2rBhww517HjXW2++qe7T38+7 mP8jDj/cjAV7ctpDD6mT9RjpK77fvvuq5s2bm/HgP0hrUyf5vjQ8VA70LIDO 8+fPV8P0c5mTo48+Wk3V9uZmvcbw17Rt21Y1239/1eawwwwtsYfdMSVZOz/9 9JN6U9N45MiR6qgCH3KdduqpaqrmCbu+LaDr4qefVgMHDjT3ndmnj/HRUIMw 7RiyfHeWOQglZ2yN/LPPOksNGTxYTZgwwdBu7HXXqUEXX2yeeeQRR4h9LxAI BAKBQCCoGrBz6N/8qLYR0bXRTQ9t3dqcw2MPcPF3e74Vte85+0W/xdYcM3q0 OdMacO65Rj/f7be/VYdq/RkfAOdeUbyyerUaPGiQsTnQ1Te++66x/bB9sbn2 3GMPdYC25TgD5jwxDRgvtibfNmvWLPWNtqU52/5G2y/PPvusOrVnT3Nxbg04 y12m/51vwlZmDHzrCccfr5YtW5aYbpybfv/dd2qutkOw77nvcG0vPfbYY03P +uWXX8x7P/roI2PT7/HHP5r7oDP/5uLLL74wNP6bpv1Z2s548cUXzTdhy3/y ySfGzwLtsV2idfN8x4w/xocGLjZu3KiuuuoqYydjZ7322mtq27ZtZt6Y1/u1 HY2/h7iBXqefrhYtWtTEE4wfH8h1+n1t27Qx7/rLn/+srtB23J133qn69e2r rtbPHqdtMPgMGx/egp6c9Satee87x2l5yAfEdTw4aZLq36+fat6smfmev+6z j6Eh8wGNyJ3Y/fe/N38bOWKEiZGxSLp2oBG8yL2Mle/lOqN3bzNXru8AwJPw Gmu6VcuW6rZx48xz+Pe0Y8jy3VnmIIScwScBLx7fsaO67NJL/197Z/6rRXXH 4T9Eq01dGhutokZc0GqquEDUFHHF2iqXxQ3haoL7gpq6IKg11IRFiylQoVhF BLXXDSugJoJolKJU22q11kQTa2PTTuc5ec/N3LnvMjPvcH1/eJ7kTSvvvDPn nDnn5nzOdwu+DMxvfG927NiRLF60KBk/blyy1/e+p74XERERkW8d/FbPP//8 sDctGn+/9157BdvXAw88EHzJ2e9i92MPP3v27OS7e+6ZfGf33ZOZM2cOs0Pj 48reHZsp2i6rL9i34/96Sqq3eA42tmXLljU9I+jEb1esCD7oU9N9/I6cDzKa GPsbtreN6X4daAd7eWy7+P5iM26n/YqOG+Mz6bzzmur7LPgOR9/5ZvoeXYp2 R/v09/cnn3zyyeB3aLi1Tz4Z2rHnHnskN9544xB7a9E2lx0D7Pb4U9Nuzhy2 bNkyRAcCdvgFCxaEcwnmBe/99VRXxueh1zhfiHMLfYctFB9s5sff0vmD3nz7 rbeSq1Kdx/fchz7y2zKU7V/ZOVQE3gtrafXq1cG3geejDdGF+Dy8unlz0KLX p5qUMw3OMeIa6Wbt/Ourr4Ldef/99w/fnzFhQtCqzUBXz5kzJ8wV3k2Wqm2o 2u+q76COvzOciyxcuDA8P56H5K/hTAzfA+ak+l5EREREvm2q6Ht8u9FXaHfq rUXQmfjfHj1mTFMNgR354YcfDn64t99+e9M46o8++ijYb6PWQ8vmfYg7wf4d uyNnDPjUNvPdRXdjN2Tvn2dgYCBovjr0PXHvP0/1Sid9T8zxQQce2FLfZ7/H Txn7YRbq2WOT5vuLLrwwxAVXbXORMeBdr1mzJjnu2GODDfTBVDviC94MdNml l1wyOHfIF5BtP3H/2PCjbfni6dODX3VWkzHPiEcYfdhh4Zpmeq8MnfrX7Rzq BP4SM2bMCM/ffbfdgl37rW3bQj95NmuLMYhnGHWsHfzcsZPz/YHpXFq0aFHw m8/DOQ1z8O677hoS61FHG8r0u+o7qOvvzMvpPX+SrinW3a8WLGgaq886+N2q VeGMQH0vIiIiIt82VfQ9frvYm5v5R+M3Tsw01+GzvX7dusHv2J/39fUlB48a FXxi0Rv5z6ZNm0Jc7W7p3p97nDlxYvi3MmBDJvcc+3bail97Pj8Y9kRi35vp 4NCHhlauQ99fWFDfjzrooJb6fmuqufBT/mn6zMfTZ+X9qhkj4u/5fSt/5TL6 vtMYYB8lJhq7JXHUT61d2/JetJV4avzruR++H9hqI+gm8p5FfY/+/28T3Rl9 GLiGvsbcbFXo1L9u51AnPs7oS/zE77rzzqa5ESN1rB3s0fPnzQsxEGhmfNfz eexY0yuWLw9nRNlcEXW1oUy/q76DOtqJXZ55yFiNZ74ODLR8N8zlcePGqe9F RERE5Funir5vVx8P3+toIyROek0mFhxdSs4u6rOh09CqzT4npd+hdbGbkQPu qaeeKt0vbL34hKNjRo8enVzTiA2P/rXoR+x6+Vx0QP52fA96Sd+jgfk34t3z vvf46pOTjvsHv4kzzmjqe11G33caA+7Pcwa10caNLe8F2Rpi6C7sq9m+3XHH HYP6Hk3WDHLgndq4x+mnnRbyvFelyDvuZg514u8ffxzyzEWfBnIMtqOutUNN B85XeC55McnPmIW5hG8ObcvHpNfRhrL9rvIO6mhn1teBHIOs41ZYH09ERERE eoW69T31qohVDfdL9T31tSL4A++7zz7hOcRk41Pe6cM+OxtrXpQ/79wZ7HPE o8dcXuToomZbXjvn6UV9nwebJ3Hk5K/DB/maq68ezOFN22ONuSptLjIGvNdj jjkmfI8O4r23A/vqlL6+cD15BMmZF230RfV9nTqqyDvuZg51IqtzuS/+3+2o a+0QF3HTTTcFmzjx7+RlzNYuZIzJNY9/Tj6XQh1tKNvvKu+gjnaSB5Lf087L L7ss5LBshfpeRERERHqFkdL3aDnyUBNze8Lxx4d8cLsS7Hv0jbhv8gHSHmyA o0aNCr7H+JO3srv2sr7/zzffBF99anij6cmJjzahhlmMixgJfZ/NBzhx4sRk Ywf7/V9TfXRlf3+4Hp1Grv2YF75X9X03c6gTZXRunWuHe5G7Lp7NnHvuuaEO PJA/gVqNl6T93bp16y5pQ1l9X/Yd1NXOpen8PqCRi5CaeOQQbYX6XkRERER6 hZHS9+zT77nnnkH/7F9n/LN3Fdi4333nnWRe+lzqqqMrY9zv2BNOCD7txNnm 6VV9T+4x7JHULieXPHG/xCOjabLx9yOh73n/5NVrN0ZZqGdGTcWo4a+//vpB u3Gv6nuoOoc6UUbn1r12mFsxxx2+6YsXLw5x98R+zJo1K7krl1evzjaU1fdQ 5h3U1U7iBvAZCLkcp0xJdqR//1qhvhcRERGRXmGk9D36gRzr+ASzb6YGeVXb ZxnQvuz9B1L9hp9vzEEf4nkPOyy0ibroWXpR3+MfjM2emm7k4yd/XjZf/Ujr e+K2yZ3P94zjsrT97eAc4oZU00ddhgbrdf/8SJU51IkyOrfutUO+wyVLloQc +qGO5RVXhPm1atWqZEqqZZ9ev36XtaGKvoei76CudnJmEP0Fzj777BDz3wr1 vYiIiIj0CiMZf798+fKQB7tM/nN07ksvvdQ2/jUPNjzygmPvjmAD/OCDD0Ib qL+N/y52QGzh+Vzzvabv0SeLFi4MPsl80B75nOMjre/xxyevXoynJw96Pqd/ FvpzRaojw/w59NAh86cX9X23c6gTZXVu3WuHunKTzjsv3A8/9qVLl4aa97Nn zx6WV6/ONpT1W6jyDupo52/S+RnPEPARaJfjU30vIiIiIr3CG2+8EXJJszfF 93X16tVNr6tD3z/99NPJ2LFjB3Nn35lqunwu+CzUwCZX1oMPPtj2ujzo4cfS fmSfHcHGR82+WCuenHTEI2cpou+Ljhu1ui666KJw3ZijjkpWrVzZ9Dr8iGM8 e17fv//++yHHV7tnkc9+YiOffSt9X7TNRcaA+uFXp1pw90Z9scvS9uVrrWV5 c+vWUMOca0Mt823bBr/rRX3f7RzqRFl9X/faoQ/kOMTOzef0VCtPnjw51DXI 59Wrsw1l+l31HdTRTvwETjn55HAPcvVxj1Y+Gup7EREREekVyGve18hrHuyq jzzS9Lrt27cn06dPD9cdesghwd7XjGxdKfy3H8/YiNF//f39gzWnqZ+Hra3Z vhlfXGqmX3XllcGu1qweeiuol0WsLrnB+f95eB711vHfPenEE4f5I2/YsCHU y6KN7PGffeaZYfcoOm70edbMmeE66r/jO4wPcRbi0LF/U0ue66ZPm5a89957 g99na7VzDzTR/3LjsT7tA3ZYrqHt9KFqm4uMAbZVdBc11rjm6DFjkpWPPjqs XRHqJKLBDm74H/w71fSRwvXxqO2W6qc6dFSn/nU7hzrxcUl9X/faYQ4+k/aZ toeYiVTj45u/ZcuWXdqGMv2u+g7qaCfnazMb/ib4B+ArwPfNyK698ePGJQMD A8Ou4dyAOffss89WqgciIiIiIlKEoD9nzQp7U+JN0ZlfN+JV0YPYfNFy2KEn N+zQ5JVmT9wM7KLRpjYm1XzE9Ea4D/7pP2rk7kbPksebel3se3kGfsMrVqwI vtwTJkxIHlqypHRsM1oATRDqsm/aNOx7tA35s/Arx3f+7bffHvJ91nYXfHPX rq08brTlF6leRSMQKzxp0qTgL4yO4LNz586gcc4888zBfN3YUrEJRrK+99jL p06dmmx/993wHTZO9D/5xdH+Wb8J/OV5fvSbL9rmomNArTVq8+2z995BY02b Ni3cJw/+3tRU/8F++yVXzJgRfEGyfPnll8mtc+YM6vtbb721qQ0Ze23UUUVy +rWjU/+6nUOdwA+8v/EuuMc9c+cOO/fJsivWTtDas2eHuck7vDOdD810dJ1t KNPvqu+gjnYSB8D3Rx15ZLgH44PfCWstOzdZU+SKxMbPdcQFzJ8/P8QQxPyR 5MnA34l5xpknuSeq5GQUEREREekE+pD9KD66aEf2n+yDsaFiG3v9tdeCDv1D ui+Oeggtd+MNNwzzeeU66rWR7yra5+6/774hcdloPWxy2HGjbQxdynPRbNjh jjziiGT8+PHBZ7aKrQtdgO78/r77BhtcXnMG29zMmcHm/MjSpUPyb7F3p/Zb jL0lRzw15qPuLTtuaBBqdGFD5H60iXG87NJLw4fcXddde22wXx/XqLfNNWh8 nosewheeenLULOd7/PjPPuusoJOwuZILHc1w7jnnDGp37I38O7oi6oyibS46 BvTtT9u3h3uQO+CHBxyQ3HzzzUNiC3jfv7z//vBesZFue/PNYXH63OPihm8I H+qvc+6RhbqA5CCIMQzMMWKk22niVhTpXzdzqAjZ/AWsgcs7xDdA3WuHcWAM 8cfht+sL+CB024Yy/e7mHdQxVtyDWgKxTgQan99Sl5K/a7fccksyberUkNOC e3ENa5QzAXx2/vjyy4Pt5Bwh5v0njqZTPUkRERERkSqgj17dvDnsUdmb8mE/ +7MLLgg+1dTBxlbPnpz9bdRgh48eHeqZYw/D7sV1aFT8U2Ndqaghb7/ttlCz HdCP6FX0FT7W2N7iPeOZAHayNU88EXKuVwFdMHfu3GBLw3+cvmEHJMadfTn2 b2pn45/+j08/Db/hWegb9OmJY8cGW3vcr/84vQc2OvyZo42v07hhk45wb+yD +KfHfGD0+/DDD0+uu+664BPNbxg7cvDhW0y+PXLzoc3RnfhFMC5o89gufOzR 8LSLcwD6xvjFMwLqeqEjom7t1GZ0SJkxADQi+c+oF46PAe3nnIFrb051f9/k ySGPG20j5iBr++R8aN26dSHuI2ooPuhu9P7vH3ss+TR9P9hl7051VrZN2GQZ r/vS+1LXrQhl3nGVOVQENOr8efOSiel6IjY82+cpfX3hLIQcFs3YFWuHuYft m7OXVnn16mhDlX538w7qGCvuwboiFin+/WP9srY4z6JN+OYsWbw4OfXUU8M5 CXqf/974yivJp40zA+Ywa4E5y++JkSk6Z0VEREREysI+Gt/shx56KJmX7sGx hRFH/8UXXwSdyt6c2FP8oeOHGFN8ZtF22GPZI5Of/YUXXhhy3fPPPRf27f/8 7LMhz0TbcSawdu3aEI/NPh4bKnmq8T1v5yfcCfTsu+k98HEn7xztwIa+cuXK EIeLlqW/Wf8DfGj/8uGHoQ7W888/P7QP6X+Tm5u9ftb23G7c8uDL/vKGDcni RYuCXzxx+JyNcE/ai7bmWZvTMY2+vVnbNLZJdC7+EdjgFyxYELQxmpn4da7l HpwL4PO8bNmy4If8dSbOvVObq4xBhN/zvOfSeYFfM7Z2crWR84wzBTRO3taO DzS2242Nd5T98N6w4dP+zz//POjQF3JtejGda5yBkB+tCGX6V2UOFYG2Mu9f zK0TPth78W/o5Ltd59rhWsaVudkqr14dbajS7zreQbdjxZxlbm/bti3k+rvv 3ntDXkLO655L/7ZxhkD+S2L/6duOHTvC38zsXKcfPIszMNYFfw/z61JERERE pE7Y22O3RIeiLcvks+sG9r7sn3ku/9uuxloZYnw70Df28ZxB8Il6uA7KjBvX svdHx6A7sv7g9Bu9265dfIfOpw/8Pj9WPDu2hf62uteufNfci2dzb3R5nWM9 0ozUHKpKXWuHHAxVasTX2YZW1PUOum0nz+F86PP0uZ+l65f1E89DuBdtabeO 4tpk/Zc5RxERERERERERERERERERERERERERERERERERERERERERERERERER ERERERERERERERERERERERERERERERERERERERERERERERERERERERERERER ERERERERERERERERERERERERERERERERERERERERERERERERERERERERERER ERERERERERERERERERERERERERERERERERERERERERERERERERERERERERER ERERERERERERERERERERERERERERERERERERERERERERERERERERERERERGR evg/4HVs/g== "], {{0, 742}, {1016, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> ColorProfileData[CompressedData[" 1:eJyVVwdYk9caPv/IJGEFIiAj7CXKEAggI4QVQUCm4CIkIYQRQkIQcVtKFaxb RECtaFXEYqsVkDpR6yyC2zouSlGp1OLAhco9GVBrn3vvc7/nOed//+985/1G zvlzjnVmQUIWCgBQkGGXwJ/Dkcv5cxP14UuyVCERS0VCnrRIJBbJ2ZkIVNbp wQ7o1fFlsjwUWuVLi+QJkaGsaWnpLFIPIAICoAMUmPEFChknPj5GZT3y/Lu8 ug5UhOCKm4rrn+P/VQyEIoUAACQe4kyhQpAP8Y8A4GUCmbwIACIb6m3nFMlU eAbERnIYIMQyFRZrcJkKZ2pwtdomKYEL8V4AyDQ+Xy4GQLcV6lnFAjHk0b0J sbtUKJHC/FXFChJk84UQR0E8Lj+/QIWhHXDK/IRH/DfOzFFOPl88ijW5qIUc JlHI8vhz/89y/G/Jz1OO+HCAjZYtj0pQ5QzrdjO3IFqFaRD3SzNj4yA2hPiN RKi2hxilZiujkjX2qLlAwYU1A0yI3YX8sGiIzSGOkObFxmj1mVmSCB7EcIWg JZIiXpJ27jKRIjxRy1knL0iIG8FZci5HO7eJL1f7VdmfUuYmc7T8N7NFvBH+ l6XZSamamDFqsSQlFmJdiJmK3MRojQ1mV5rNjR2xkSsTVPHbQewvkkaGavix WVnyiAStvTxfMZIvtixbwovV4pqi7KQoLc9eAV8dvwnErSIpJ3mER6SYFjOS i1AUFq7JHesUSZO1+WLdsqLQBO3c57K8eK09ThXlRar0NhCbK4oTtXPxoCK4 IDX8eKysKD5JEyeemcOfHK+JBy8BMYALwgALKGHLBAUgB0g6+lv64ZtmJALw gRyIgQi4aTUjM1LVI1LYJ4JS8AdEIqAYnReqHhWBYqj/MKrV9G4gSz1arJ6R Cx5CnA+iQR58V6pnSUe9pYDfoEbyD+8CGGsebKqxf+o4UBOj1ShHeFl6I5bE cGIYMYoYQXTGzfAgPACPgX0IbJ44G/cbifYve8JDQhfhAeEaoZtwa7Zkqfyz fFhgCuiGHiK0OWd+mjPuAFm98VA8EPJDbpyJmwE3fCL0xMGDoW9vqOVqI1dl /zn333L4pOpaO4o7BaWMoYRQnD6fqeui6z3KoqrppxXSxJo5Wlfu6Mjn/rmf VFoIn9GfW2LLsAPYGewEdg47jLUAFnYMa8UuYkdUeHQV/aZeRSPeEtTx5EIe yT/88bU+VZVUuDe697m/14wViUpU30fALZDNlUvE2UUsDvzyi1g8qWD8OJan u4cfAKr/Ec1n6gVT/f+AMM//pSs8DoBfBVSK/9LxbQE49BAAxqu/dLbP4fZY DcCRToFSXqzR4aqOAKhAD+4oU2AJbIETzMcT+IAAEALCwWQQB5JAGpgFq5wN 17MczAHzwRJQDirBarAB1ICtYDvYDb4D+0ELOAxOgJ/BBdAJroHbcPX0gidg ALwCQwiCkBA6wkBMESvEHnFFPBE2EoSEIzFIApKGZCBiRIookfnIF0glshap QbYhDcgPyCHkBHIO6UJuIfeRPuQ58g7FUBpqhFqgDugElI1y0Gg0CZ2JitFC tBQtQ1ei1Wg9uhdtRk+gF9BraDf6BB3EAKaDMTFrzA1jY1wsDkvHsjA5thCr wKqweqwJa4O/8xWsG+vH3uJEnIGzcDe4gqPwZFyAF+IL8RV4Db4bb8ZP4Vfw +/gA/pFAJ5gTXAn+BB5hGkFMmEMoJ1QRdhIOEk7D3dRLeEUkEplER6Iv3I1p xBziPOIK4mbiPuJxYhexhzhIIpFMSa6kQFIciU8qIpWTNpH2ko6RLpN6SW/I OmQrsic5gpxOlpKXkqvIe8hHyZfJj8hDFH2KPcWfEkcRUuZSVlF2UNoolyi9 lCGqAdWRGkhNouZQl1CrqU3U09Q71Bc6Ojo2On46U3UkOot1qnW+1zmrc1/n Lc2Q5kLj0mbQlLSVtF2047RbtBd0Ot2BHkJPpxfRV9Ib6Cfp9+hvdBm643V5 ukLdRbq1us26l3Wf6lH07PU4erP0SvWq9A7oXdLr16foO+hz9fn6C/Vr9Q/p 39AfNGAYeBjEGeQbrDDYY3DO4LEhydDBMNxQaFhmuN3wpGEPA2PYMrgMAeML xg7GaUavEdHI0YhnlGNUafSdUYfRgLGh8UTjFOMS41rjI8bdTIzpwOQx85ir mPuZ15nvxliM4YwRjVk+pmnM5TGvTcaahJiITCpM9plcM3lnyjINN801XWPa YnrXDDdzMZtqNsdsi9lps/6xRmMDxgrGVozdP/ZXc9TcxTzBfJ75dvOL5oMW lhaRFjKLTRYnLfotmZYhljmW6y2PWvZZMayCrCRW662OWf3OMmZxWHmsatYp 1oC1uXWUtdJ6m3WH9ZCNo02yzVKbfTZ3bam2bNss2/W27bYDdlZ2U+zm2zXa /WpPsWfbZ9tvtD9j/9rB0SHV4SuHFofHjiaOPMdSx0bHO050p2CnQqd6p6vO RGe2c67zZudOF9TF2yXbpdblkivq6uMqcd3s2jWOMM5vnHRc/bgbbjQ3jlux W6Pb/fHM8THjl45vGf90gt2E9AlrJpyZ8NHd2z3PfYf7bQ9Dj8keSz3aPJ57 ungKPGs9r3rRvSK8Fnm1ej2b6DpRNHHLxJveDO8p3l95t3t/8PH1kfs0+fT5 2vlm+Nb53mAbsePZK9hn/Qh+oX6L/A77vfX38S/y3+//Z4BbQG7AnoDHkxwn iSbtmNQTaBPID9wW2B3ECsoI+iaoO9g6mB9cH/wgxDZEGLIz5BHHmZPD2ct5 GuoeKg89GPqa689dwD0ehoVFhlWEdYQbhieH14Tfi7CJEEc0RgxEekfOizwe RYiKjloTdYNnwRPwGngDk30nL5h8KpoWnRhdE/0gxiVGHtM2BZ0yecq6KXdi 7WOlsS1xII4Xty7ubrxjfGH8T1OJU+On1k59mOCRMD/hTCIjcXbinsRXSaFJ q5JuJzslK5PbU/RSZqQ0pLxODUtdm9o9bcK0BdMupJmlSdJa00npKek70wen h0/fML13hveM8hnXZzrOLJl5bpbZrLxZR2brzebPPpBByEjN2JPxnh/Hr+cP ZvIy6zIHBFzBRsETYYhwvbBPFChaK3qUFZi1NuuxOFC8TtyXHZxdld0v4Upq JM9yonK25rzOjcvdlTucl5q3L5+cn5F/SGoozZWeKrAsKCnokrnKymXdhf6F GwoH5NHynQpEMVPRWmQED+wXlU7KL5X3i4OKa4vfzEmZc6DEoERacnGuy9zl cx+VRpR+Ow+fJ5jXPt96/pL59xdwFmxbiCzMXNi+yHZR2aLexZGLdy+hLsld 8stS96Vrl778IvWLtjKLssVlPV9GftlYrlsuL7/xVcBXW5fhyyTLOpZ7Ld+0 /GOFsOJ8pXtlVeX7FYIV57/2+Lr66+GVWSs7Vvms2rKauFq6+vqa4DW71xqs LV3bs27Kuub1rPUV619umL3hXNXEqq0bqRuVG7urY6pbN9ltWr3pfU12zbXa 0Np9deZ1y+tebxZuvrwlZEvTVoutlVvffSP55ua2yG3N9Q71VduJ24u3P9yR suPMt+xvG3aa7azc+WGXdFf37oTdpxp8Gxr2mO9Z1Yg2Khv79s7Y2/ld2Het TW5N2/Yx91V+D75Xfv/7Dxk/XN8fvb/9APtA04/2P9YdZBysaEaa5zYPtGS3 dLemtXYdmnyovS2g7eBP43/addj6cO0R4yOrjlKPlh0dPlZ6bPC47Hj/CfGJ nvbZ7bdPTjt59dTUUx2no0+f/Tni55NnOGeOnQ08e/ic/7lD59nnWy74XGi+ 6H3x4C/evxzs8OlovuR7qbXTr7Ota1LX0cvBl09cCbvy81Xe1QvXYq91XU++ fvPGjBvdN4U3H9/Ku/Xs1+Jfh24vvkO4U3FX/27VPfN79f9y/te+bp/uI/fD 7l98kPjgdo+g58lvit/e95Y9pD+semT1qOGx5+PDfRF9nb9P/733iezJUH/5 HwZ/1D11evrjnyF/XhyYNtD7TP5s+PmKF6Yvdr2c+LJ9MH7w3qv8V0OvK96Y vtn9lv32zLvUd4+G5rwnva/+4Pyh7WP0xzvD+cPDMr6crz4KYLChWVkAPN8F AD0Nnh06AaBO19zz1IJo7qZqBP4T1twF1eIDwK4QeGVeDEAMPKNsgc0eYhp8 qo7qSSEA9fIabVpRZHl5arho8MZDeDM8/MICAFIbAB/kw8NDm4eHP+yAwd4C 4Hih5n6pEiK8G3zjqEK/3DEFn8u/AWYai14= "], "RGB", "XYZ"], Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{360.58203125, Automatic}, ImageSizeRaw->{1016, 742}, PlotRange->{{0, 1016}, {0, 742}}]], "Input", CellChangeTimes->{3.770738137882536*^9, 3.771001075795389*^9},ExpressionUUID->"a33c358c-7ba2-498f-8b48-\ 614f780939eb"] }, Closed]], Cell[CellGroupData[{ Cell["DFT view", "Subsection", CellChangeTimes->{ 3.771001096621883*^9},ExpressionUUID->"cab6fe9a-e87b-498f-ac4e-\ 77c3e76c081f"], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnQV8VNcSxosTQnBIgrsECG6FUoqFBPeiLV7cactrC7TQFtfiTmlxLe6E oC0QJEQJCXFP1vV751zZvRuoPngJZf68eXt3s3uy9/aXufOdmTOn0vDJvUbn fOedd6bnZ//Xa9inH0ybNuzz3kXYk76Tpo8dM2nUSO9JM0aNGTWt+fBc7MWC ud95J40dsId3QBAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE QRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE QRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE QRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE QRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE QRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAE QRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQbwGrLBarbCwR4uV /b/ShJ8Jb/njEdjPLRDN9lbF5/g4FukfP+IfsP7JmFmH/MXFM7JaxetjlV+X nwuH/NHMDkySmfGnF4sgiKxH/FMWfZzg52S/J/+t/8EH/9Qhsv9ZuD/9/bGE URQ+xML8h0XyuVmC8GW4zzOxb2CGmR2bJY8tfEeLZPK9gr9HeK/V5v9F72cR /KDVYhHeL52k5FKtwuuCn+Tvyb43AYIgXjuKuOoP3iF4IcFnWH/nrWK8ZpV8 imhZ6Ett52TN9FSOJeVoWYqYrfKb7F5UOZTsQgX/zO4TVsHEe5Xosy34o2tI EMS/FdHXWWSzmAUTfKFNv+IP3YMQv1ntXsQqvyg9sQgRoRgPivGdYtxsh6zT pThUuCYKDa+IZS0WixB3W61GdpLcTMimJ0UQhBKrPO8ox4cWSUfb5y+Fv2/m C81mZhbpZ0J89SfxEh+X+QfxM1zLmu3jmJkf5D+zSvpe8CMm9pqRvSZ6yCzx IIK/5jGykf1+E0zs2GSV5lytCn8n+DxB4Qv6XXgH+6jZKkee0hgWWcNb+MWQ bhBW8XVpvtMWgxIE8e9F0tPcd5gVflD0JX/s8azSXKEYZ5kFX2JV+mXZNzMf Kpo4rn0uNiuw539s+tzm/6R5BuV9RJ7MFV4TY0679pdzRZDOn/tWk3SOcv5I HMuWbyMI4i1BkXuSYjPRp1oc9fvvflyRj4ZSv8u5Jat9LMhzhtY/HzfLUOp3 Kc60mG3XCFb7/IM452ES7y0Wk32OmCCI7I3knxz0u5zDsRhgMmqh06qhUmcg nVmGVgONQQ8jj5/+pM7GatPvTJObtDDqVNCyMdQqFRtPC7XOCD3X8Zny77Z8 9//vKjh8aTF/ZbLNYwhzD4qYWZ7DtP+z2D8O+YpI+p2ZRTCTQ15MnB/heXuj 7XWCIP6tWITYyGTUQcP8aQb3gczUzA/qdAYYTSZxju93kPW7VYqxLEYDDDq1 6E8z+DjML+v00JtMko63x7FZq9/t9Zq22iZBt5skyzwHbLWdrUNNguwf5fy9 RZyvMCvuV3Itk+X3yhMIgviXYoW95kjpOWR/8ifVpHKtkqLO3PH9inEcas+z q9SVvq9Vrscyw54ncjSrQ95OyrVlz5MiCCITillF6e+WxX1Mb2uSQhB05xSO /rwF639YiRWr12LDjoM44fsQIbEZ0BpM+L1IyZ5qMbM4MxXxoXdx8+Q+7N68 FqtXrsK6jT/h4KlbCIhMhsYq5uFhq3/6s2rS14lYW2CFfa7yRf9nhsmgQmpi FCLDgxAcGIDAJwF4wh4DAp/gSUgowqJjkcDiar3JwEY0OY4hXWuzMFNhsr1O EMS/Ee4zjNCkRCD4zmkc+Xkzfli9CqvXrMe6bQdx9NJ9BMemQmM0/8EIcszI 9LkhDYnPHuLGiYP4ceM65k/XYv2mPTh87jYePktAus4gzg/a8lBZqWettlwV bOtRJf/6T2dp5ToGq1yPIJus37NuxQBBEFmAkCtiEZVJz+JNDTQaNdRqZhot tHoDjGbzH/oF0b/aayUtZiOL8XTQaTTiOGoNtMyvGoxmoW7U8gbod/5PWP8p xdcvels5yrbYHu1xarY8KYIgMmFRRlNS0ZBJl47EwHP4Zd00jOrxHpp61kLN 2o3Rov1QTP7+AE7fS0CKyvi7Y9orJ43QZjzHo7O7sHLyQHRp1QR1anqgybvd 8PHUNTh6PRgpzB+abPVIilTN/+n8M39rq1QBYFHUZAnzCpKPN+vTkRQVgF+v HMG+neuwbvVyrFqxDCtXLsNyFpev2rgFO4+cwRX/EEQlpUNnktcjZNbv4up5 u34nn0kQ/z54zlmHxLDrOLluOkb3bIX6tWuhtmdTNGj3EUZ+/SNO3X+ORI3p j4cRJLABJk0UnlzdhxWThqJri0bwqNUAzVr1xojP12Gv7xPEpGmEeE2sr7fa cvBZgZyrgnJ+Voqz9TzOVktxtmAqyZTHKsXPeR0Yj8lZLK1ncTqfG2XXQ6xx MivWf2Xd+RIEkQVwjWpkWj0tFnHPgxES+AiPHz/Go8AwhEYlIClDC7355fpd ylhJazyZ/2Da3aBLQ2pcJCJCniDg8SM8CghGaHgcElI00BlN9n5I2bh+XqjY svIInFc6/ZXuIFLUTvXzBPHGIGtJsa8Ff8UKozYZcfcP4eev+8PbswyKO+VB njxF4VbxA/SZuhX7bsQiMcPwu2Pa9bsBmrSn+O3gCnzZpyVqly6OfLnzoJi7 J9r1/wY7zj9GAosxjXLNkhDmZZVPlOcgRfVutmlsq7Qikx2btciIDcLdsz/i h3ljMbRXO3zQqhlaNGuCZs2bsji6JVp7dUbf0TPxzfqDOH8nFNGpOugtYs28 rZeIMCcK+/p/8pcE8S+F/91rEPfkHH6e/yG8GrjDKS/zp84lUKBiO3QcuwZ7 bzxFrOqv6Hc9TKqn8D+5Dl/1bg3PUoWQN48LSpRphI7DFmD9KX9EJKuFuA0W eX3jn1WPvj6U+l2eBzUZ9VCnJSDmWShCAh7jyaNHCHj0kNkDPH74AI/Y8SN2 /OihPx6y5w8fsvj5EYvF2fuE48AQFpPHIVGlZjG5SZwPsEpz0Mr1nQRBvB2w uEqb+hzBtw5hz7p5+GLmZEyaOAWTPv0W3288jov3IxCvMgoxl/h+2DSqvHbU 1qPJlI6k5/dw7eAWrJ77GaZPmYop077Edyt/xi++gXjO/KvJNleYXXsXWW15 IpPFxOL5VCRFheDRb9dx5eJ5nDlzRrSzZ3H+oi9u/vYEYTHJyNCza2ShXBJB vClYFblhSLGeUZuC+PuHsYfp906ebiiS9x3kyFUYJSq0RZ9pW7H/Zswf6ndx XGEmQNLvK1m82RJ1XIsgzzu5UNjVE237z8f2CwGIZ7/WYJX0vmINU1agXN9k kXqNCvrdpEFabDD8rxzBjyvmYPrw/vBu0wrNmr2L1u284NOlC7p16YA2LRvC s1ZV1KrbEK069cfwSfOwZPNhnL0TyOJqFYs3zbY6UovVSvqdIP71cL+qZfr9 PNPvA9Gxvhvy5cqBXPmLIn8Frt/XMv3+DHF/Sb8bYGb6/SHT73N6tULdEs7I maMAiro2RPuPvsWGk48QyeJLi+zLFes5swSr3K/OvrZSlxaDoFsnsGvlAsye MhFTJk7AxAkTWLw9EZMmTcbkyZMxZdJEwSZPmsRem8oep0rHkzB99tdYsvUQ Lj5iMbnOAoNZXicgzhEIfUKpnokg3iKMSIt5CL+f52LGh81Rp3IZuLmWgXu1 1mg3ZAHW/XIfYck6pmUd+2gIdfdyxaVUO24xJCDywXHs+M8I9G5cCxVLl0OZ cvXxfvdp+G77FTx8nsJ+m+O6yqyqFv2D7lNC/yW9OgVx4QF44HsCh7etwHdf zsCE8eMxetwkTGD+dvy4MRg3fjJmfrUYP/x4BGdvP0JQVBJStQahJlZeyWpf 0Uo+lSCyC6Ibc9zLjL9m0qYiwf8Y9i0YBJ9G7ijqxPR77qIoWbUj+s/ajkO3 o/+yftemPcO9Iz9gXr/3Ud+tGPK/kxdF3Bqiw6DvsPPSE0f9DmW8mRU+0apY O2oReuGbzXqo4oJx99RWLJsxBF3fa4y6nk3QoFU39Bo2A7O/XYE1GzZg09pl +Pbz8fi4e2u8W7ciKpYtjfKV6qBxu/4YO28d9l7xR1iSCjqLvHbTkkm/k28k iH8fkn4PvIQ93w6Fd8PSKMD0e26m3wtW7ojOEzbgwE2mRdW/v/6dI/gIQb8/ w6PTGzGv7/vwLOnC9Lsz0+9N4PXxImw6HYCoFI3gU+T4NMv1u5x7l/rnq2Of 4NqehRjfoxU8ypSEu3tpuFeuBY8mrfG+V1d07toDPbp1Y9YV3bt1R7fuPdGt Ww923A3du3ZD38GjMP37TTh8OwRRWqtQF2tR+tFsmxMjCOL1YEBa9H1c3fUZ JnTxQLki+ZEnd37kLVEPTXp9iZWH7yIkSW/T72LcK9Z5OvR+4n7KEI/Iu4ew ZWo/dKriikL5nJG/QCV4th2PLzdexv2IFKEmPSvX6sgrPaXdNmz/bP6W95E3 piEu6DpObFiAWQO98UH96qhZtTIqezRBw9Y+aO/lhQ/ebQDP6hVRqWpN1GnR Ht3HfomFey7hVngi0o1i/b1cjyr3hKLaeoLIHtj1u2I/CXD9nobE+79g/4LB 6NLYHcW4fs/D9Hu1juj3KdfvMUj6E/0uwvV7BNPvazGvfxs0kPR7UfdG6DD4 e+y6FIgE9guNVoVPRdbEm3LG3Wy193C28N75mgSE+B3Aqul90a5+JbiWq4m6 XsMxYcnPOOz3GEHhUYiNi0N8bDSePfkVfofXYunU7vBq6A7XIgXh5FIKVRp1 wqDZTMP/GoZooxl63kPaarb1F7GtESUI4g3mZX/DPCfM6+cvCPrdp2EZFMjN 9LtTUbhU6Yiukzbg0C2u3/8k/w5p/TvT7w+Zfp/brw08S8n6vSm8hi3G5jNP mH7Xijti2FImWajfFXWccv8QdcwjFmfPxYh2dVDGKQfyuxRDkbq8DuEbLNpx FIdPncf5c+dw/uxZnGN29pxo54Tn53Dxsh9uPwhGRGIGNGbY8u4OcSxBEG8R on733fU5JnWtjfJFmXbPw6xUPTTt/RVWHrmH0Ez6Xe73JE5zKnpsGhLw/O4R bJvaH95VXVFY0u/1mH7/atMV+Eemgnd+yro+TbJrz/zPvnbIbFAjg/nZm4dW Y86QTmhRqSSKOBdAsdJVUK99fwyZNg9fzPkKs8YMQLcWNVGppAtcihSHm2db dJ28BJvO+rPrpYXBLO/B5NgjlFwsQWQ9sh94qX73P870+6AX9Hv/T3cw/R77 N/S7mH//mul3nn/Pp9TvF5l+N4v63faFsiz3rtDvVrFfqdmggjbOH767v8FY 7/qoUqoESlRrjc6TVmLHlSeIVBlhtNi/q4X5zdTIe7i2dz4+G9IcdSsUQf5c uVCgZDU06DEF8w/egH+KHmqjUfC1vJepWa77JP1OEG84L/NdXL+rBf2+93f1 +zMk/GX9Hi7o93mCfi/0+/pd8XWyUtPae6GIc8Vcv/v+OA+jOtRB2QI54FTU HSVbDcLQxYdw6mEMopLFvfVUGRmCZTgY/xnfK4/3lLZQGEkQBP5Qv/f5kun3 u7+r323+UZ7rNCQy/X4MW6d9yPS7m02/1287DnOYfn+g1O/IOikrr/W02HrL S7OkRh1UsSG4f2YHVk4fgM6NqqF08ZIoWdETLboNw7RFW7H37HX4Xr+Gi0d2 Ye1Xn2BIh/qoXb4EirtVRM02AzBywY84cisc0Rl6Yc2nXb/LNQdZdNIEQdj4 U/3+7avU7+9na/0uVc/b8uJC7w9tMlKDzuLI0jHo2aQK3EuWR/XWQzFl9Un4 hiRAbbHnz8X5WDP06nhE3j+G3d+PQM9mleHqzHtVuaJ8k94YuWg/TgYkIFFj sNV82nsukVMkiDebP9Lv55l+H4LOvH7+f9Hvaq7fN0j63TH/vonp9+fZVL/L tV5C/l2p34uVQanWH2PYypO4FJqKFJ1Y+2SWja9vN4uPgklrmyjPThCEiKTf d76o35v8I/1+NJvrd+kMpD1GTFa5B7UFxow4RNw8jA2fDUUnz/IoW6I4XMrU R6Ne0zFvxzlcD4xGUjrfy0OF9GT23gcXcHzdDIzpWAfVi7N7Seka8OgwFlPX nsHVp8wf66W1tRZ772XyvASR9fx/9XvrbK7f5Zoocc9k7g2N6gQk3D+AXXP6 o61nZbhVbIDWH8/D+nMBQj8UuW+puGZemg81a2FIDca942vwRZ/3UKekC3Ln Yn6xbGO0HfY91px8hPAU3sNUUff0F3b3IAgiu/MP9Ptkpt9v/039fubN1+8j O9Rl+j0n8hctLeTfP1p2FOeCU5Cssziu77TfniS/bNvdM8vOiSCI7MTbqN/F /e7Mkn4XPaIZmoQg3D28GLP6NEdVdh1cXIqhZN3O6PX5Nhz4NRJxGrOt1p7H riZ1FEKu7cTKsV54v2IhFHEpgWJV26HrlHXY5ReO52l6MT7N1v32CeLtg/R7 JqzKONEq9PFLDbmEo2tmYJB3GzR9vws+mrMWxx88R4LWJOXrTbbeyuL+xkZ2 D4hH2LW9WDGiC1qUY+ecIy9cildDw+7T8fVP1xGQkM7uOMooleJRgnjzIf3+ wnfGi/r9iqTfy0j6vUTLQRjM9PuZ4FSm31/S7ViaV5VjTnFXEPKXBEFw3j79 LmtwuYeSMKfJ7jOJwb74Zfl4DGxZBSWd8qNQ8Yqo3WkcZmy8iBvPkqEySx33 hTpT9mhOR3zwZRxdPAZD3q0E9yKF4VKqFpr0moFv9lzHveg06Gz7O9NeSQSR XSD9nglb/l1S1UYtdElh8L90EBuXzMfc+Qux8dAZ+EcnI8Mo7xNvsel3s9zr w5SCiDtHsX5iL7SpXBIFcuaGS7GK8PSZgC92XMaDuFTo5LuIovcSQRBvMqTf X/jO+PP8O9fvgxYdxskHcYhJVkOt5vWd3DRQa3TQCfsSy/s1maleiSAIBW+b fret9rTvQ28xwqKLQ9j1vVgzrgtaVy4Gp3wuKFq+KTqMWYoN54PxLFkr1tnz WJX5U5MQsxqhjg/C/SNL8MXAd1HDrRBcChVDhWY98PH3P+Pk4xgkG+37e5B+ J4jsAen3TNhyPJLxPvQmHdQp8Yh+GozQkGBExsYhQ8fuBdIaeXkPOIs0Fyrk hiwZeO5/Eltm9UX7GqXgLOj3Cqgn6PcruB+XBq04WWA3giDecLKrfs86fle/ t/dEWaecYv+6Fv0xYM5O7D9/H/4PniDwyWM8CgjA4ydBCAh6hmfRSUjX8Pjb bKvlJP1OEIRIVut360vs9WLT75DWp5vFvUkenNmIOf3boJ5rQeTJXwzFa3ZE n//swP67cYhXGSDuZyr2GOH+lOfg9WnPEXZ1B5ZM7IIG5YugUEF2T6n1Hryn r8au62GI0vDYFjb9Tp6XILKerNbvO236XXakWe0ZrFJNkqTLLVK/Td4nxGSE 2WiAmT1arGbbWiCh1p6Z/BkrWBxuSUb43cNYO7UHWlctAaeceVGI1893m4l5 u2/gUUI69MKvkz6c5edNEMT/TjbS79lkatDWe56bvH/cj19jVPt6TL/nglOR kijWqCM6jpiNuQtWYc2y5Vi5dBEWLlmCRctWY9nqHfjp0GXcC4pGqtT382XX OStzYQRBZCVZqd8dPBxesvrnteDQO4nHoiYd9AmPcHP/Qkzs0gRV2DXIU7AU 3Br3wseLD+NUYBqSNSbxu9piV7GG1KCKReSd/Vg7qy9aVikh7DWXv3wjNP/4 G6w+9RChKUbh2pF+J4jsQ1bod/v+7wsF/R6v0O98DtGgTkNqXBSiwsPwNCwM YdyeSo/ysfL537CnYYoxw54qxgzHs6g4xKWqoDYYxX6esn6XNbxtnzeLw/WS zdZPnvlRXVIg7hxdgc/6t0IdNxd2LymEUpVawvuTZdhwLhDhqVrpHiDv/f46 /ysTBPH/ISv0e0Gm35s56nfpa1jMRuZPU5Ear/SnT22+8AU/+Lfs6e9/9ukz RETFIyFNA63RLO0dB6GHsTrmobh/XHtPlHPKjfzOheBcsRZqNG+Ljp26o1fP vvhw4EAMHDQAfXv3Qteu/TBg2FTMWbYFe8/dxN2nsYjP0MFgtifA5Bw/ZeUJ 4m0ki/S7FZKGNiOrcvC2LsgGNdTPruP8ppkY/EENuLvkQp4i7ijfZjAmrj8L 3wgd0vSSh7St2RQxahIQ438M274YjA7VXFG8QAHkLOGBOt1mYsGeW3gUqxX3 66T+dQSRbfh/6/cGNv3eWNDvYv28VdLvFph0aUh6+gB3zx7GoR2bsWXTRmzc tEmwTex4k/BcYRv/um1yMDamZMLzrTuw6+h5XPAPRyTT1nqL1b6uyKbPFX3m rC+aPB9q1KQg7t4p7J0/Et0bV0TJAnmQ36UsarYajEmrjuFCSDJStEZbr/vs kCMjCOJVkNX6PYDpd42k35lfZf40OeI+7l88jMM7N2Mr86MbNm4W/N9mwZ+K vlX0hX/Hn8qf2Wz/rM0ns+ebd2L34Qu4+iACMek6KVbmEwompt8f4NqPczC6 fV1Bv+fNnQe5nArAqXBRlCpfFbVbtEfn/kMwdHA/dP+gKepVLY/SZSqieqM2 8Bo5G/N2ncOVwFgka022mNsizLdCMAs5U4J4y8hC/W7N2t5F8tylWa9CWtAl nFg5Fn3e5XFnDuQpVgYV23+EKZsv4nqUEekG+YQdZzpN2iQkPD6Jn+YNQ+ea pVGC6fd3CldHjQ6TMGe7L/yfqwT9TjOkBJF9yEr93pHp991MvyfJ69/Z7zek RiPE9xC2z5mA0T284N2hPdq2a492zNq3a4t27UVry47btv371o6P0a4d2rXt wJ6zcdvy47bo0Lk7+kych2/3+uJOZIqtR6dNv2f+Z9vUSFmkyoNHA7QJoXhw eA2+HfwBGpYrgfw5C6B42cbw+vhrrD9zDyHsumlNFlt9q9wXhEQ8QbzpZJV+ bwqv4Ysy6XcL871RCL2+H7sWTMSYnj7oLPjSDsyXtkcHwaeKvrUt84N/35+2 E8YSTDgW/Wtb9rxtxx74cOwcLN3nx2K/NKGeSZyilfPvc4X8e1mu33PmxDu5 ciGnc1G41n4XXiM+xTc/bMeOzT9g0fSh6Nm8KsoVyYeCRUqghEdrtB8zHyuP 3UFgvErMesl1oIo+JJQjIoi3iSzQ73wMswm6jCTEhQfiwa+34HfNF1evXYOv 7zVck+3aKzZfX/he88PNX+/hUVg04tJ5LZIFJn0GUp6cw7GlI9GreTmmwd9B nqJMv7eT9Ptzpt/1UsSvyL9zM+uSkRR4Bvvmj0QPj7IoxfV7/sqo1nI0Zq8/ j9/C2Tmb7GsECILIerJOv4v187svBiHJpNDvaTEI9TuCnfOnYFy/rujW2Qc+ 3izu9OaP3vDx8YY3s07s2PsfmDAGG8vbuzMzH8m80aVHHwycugCLD/jh7vNU qGX9bsu3WxS5csX1UvwcJg1U8UHwP7cTa2cMQo9GNVHJvQoq1HgfPoM+w6Lt p3AzLBapJjOMtrVE9v6hpN8J4k0nq/PvTxDJ9LtZfDN06TEIu3kIPy2chvH9 eqCHT2fB93Vm5uPDze4D/5mJ4/l0kn2r9FqXvhg66WusPHgdD6Nk/S7n35l+ 3z0Po7waoIJLPjg7OcO5RHlUauqNXpMXYPnes7j+MBghTx7g1qnd2PjFcAx8 rwaquBZFgaKlUb5JVwz8fD32+QYjJt0Eg0kxz2qrkyJfShBvD1mj3016DVLC 78Hv8CYsmzMLk8Z/gtFjx+KTseMxXrBxGMdsrGBjX5F9grHjJmD6l99h9b4L uBGSgHSDCUam35MDzuDIkmHo2ayspN9Lo0K7oYJ+92P6PU2p361K/Z6C5KBz OLBgNHrVLgtXJye8k7M8qjT4CDOWn8CtkCTmZ0m/E0R24v+v34sy/Z5H0u+L sIvpd7l/HfcpJm0KEsJ+xY1fduPH9SuxeuVKrFzBH1dgFbOVK1dhxcrVzFax 45V/y1ZxW8FtlTAOf20Fs+Ur2Lhr1mHjnhM49WsYIlj8q7eIfT3k/TnsuXbI CznFfvOyyrewe0P6M4T4/YwNsweiW+PKKFeiHCrW6IhuIxfhh0O34B8ej3S9 QdqzwyL1wDOTfieIfw1Zod9dmH5vwfT7Umw6/YT5L62k362CH08K/Y3p4D34 ccMarF61yuY7V6zifnGFZH/Pl8q2QrKVzIeu4rZctBWr1mLLz8dw4bdQRAvr 8aXeIUy/a+ICcOPAYkzt/wEaVC6LipVroua73dFv5ipsOeuPgKhkqHV66PVa ZMRHIOzKz9jy2Ydoz+LKIk55kb9YJXh8MByzfmA6P1SFdJ3JtqbJKs+LUoxJ EG8RWaPfjZpUxNw9hX3fjcOANo1Ru0pFVKhUGZUrVUPVSlVQpXIlVOJW6VVa ReYzq6N+624YOncr9rN7R6LWIOj3FEG/D0eP5mVRXJl/35RJv8Nxz2Ih/y7o 91Ho7VEWbvmZfs9RDlU8h2D6kuO4GSzrd4IgsgtZp98biv3rLgUinvlUg1XM d5vNOuhUCUiMforwkEAEBQUxC0Rw8BMEBbPnwcHMQgQLZsd/10KC2GNQsDRO EAKZPQnijyEIiYhBTLLcv86+rzvX2Lb1Qop6eWHNJXuVfWuYDMlIDLmIk+um YrRXbVQtVhAlStVGy64zsGD7VfwamY40ndGm1YW94mF26GNPISdBvOlkpX5f ho2nA4X5R7PkqywmAwwZLDaLeYanYcGCv+Mm+j7uT58wfxj0j3wpt0BpnGDm owXfGsjGCuR+OxhhEVGIS1FBYzBLNe18X00T9CnheHL1J6z7eipGDeqPAUNH YfinS4Vc/W/MT6brLbaryHsy6SJu49Km2RjS2gPuBfMgR+7CcK3aHh/O2oGD t2KRoDLYe5IoplkJgnhbYNo02p/p99kv1e+rXtDv8n7msPUuUur3yL+k360w 6VRIDrmNKz+vwrfTx2Lk0IEYNHgwhgweiqFDhmLIkCEYPGQwBg9+lTaIjfkx Ppn2FRbtOo2rgXFMlxtt+v2olH//ff0urJYXNbzkLHn+PSlYyr8z/e4q6Pey TL8Pxoylv+AW6XeCyHb8nn43Mv2e4H8M+74dmEm/e6H/Zztx6E7cP9Dv70v1 80y/uzVAh0HfYQfT73EK/W61mmDhMapRJ+RfdIJpJNMJptfrX4HpBOPjaaVH ncEAvYmpaovZvv+7LUduVqx9V9Rqsu+qTo1A8J3j2LdqJib0bo3mtaqjlkcL eH84FfPXHceVhzFI1PKaeXutvGB8L2Nlb/vX/N+aIIjXzZ/p98GvSL9vfKF+ vuPHi5l+DxDr5yW9zP2XxSz7U53oT3XcpGNm+v/Bp9p9Mn/UC+PqpfH1BhZT Mn9qsoh+VDYjixUTIx7g1yuncfzgARw4/AuOXbyNO8ExiFcZhb7ytp2RzDqY U0Nw79hKfNq7GTxKFkDuHPlQxL0u2gz9GiuPP0BwkprdP6T8O/lSgngL+X39 3tSm33XiHmiyb1Gsh7RrWYtNv2+ZNgCdXtDvl+EfmQJxF3UWsZqN0PP1708D 4H/bD9euXsSVK5eYXWZ2BZclu/JKjY99Fddv38XDsCjEp2ul9e8qJD8+iyOL h6GHUr+3/QhTN13A9ecGYW7Urt/NmfT7eez/dgzT7+VE/Z6zLKrWs+t3vclC fpUgshF2/a7YAw1S/v3BL9j/HYs3m5RGMeYLcuQugpJVO6KflPdIVOh3q8OY DjtTMP0ejrtHVrN4k+8fV1Ta/70hOg75Hrsu8/w7bP3nrfKackWemmt6MRaV X3dc7/jPzWI/Z5teV44vH5ulfLlcdWQR8kgWowbqpKd45LcPmxeMxsD2jVCv Wh3Ub9QZ/ccswNr9V3CXr3fntU0We/96W786i1Tvacn6HqYEQbwKfk+/axAX eAH7vh+Kzo3KiPo9f1EUrNwBXSauw8Gb4Yh30O/Wlx4L+l0VjgenNmBu3zao K+t3N2n9+2m5f53oo8zcd0Hpz5T2v/pPR19qtop7birHF9YYWcQ5UbO0bshs YbreoIFGlYa01BSkprLHDPZcZxR6HFssFtu+xBarAVZ9DIKv7sTikW3RrFwh 5MuREwWLl0WdzqMxa9t53H6eBpUZirlVWotEEG8XBpt+n+ig3xsw/f4VVjP9 Hibod9mvWIUenxabv5KjO1m/H8Nmpt87VnNDoXwFmX6vzPT7WHzFdPD9yGRh vlCOFfkenSY+F6pRQa3OkIwfq6Fipn5NptGw38lrRc1SzM70exLT74eZfu8u 6fe8TL9XYvp92qaLuCH0r/t9/Z4cfAEHvv2E6ffycHUqwPR7GVSpNwjTlx7H TYf17wRBZB/EmFPRjY39PacJtTiHl4xE12YVmH7PiRy5CqN4+TboOWkj9lyL RHy63j6CgyZW7hNpgCY1FLcPLcN/+rRAbdciyPNOfhQr2xzeI5Zh77UQpPDW b4JbkPW7Usla8WJM/Dp8iL2uCHK9vC0uNbPvZ5LWrEvf0cR8Z2IIHl3chuWf 9kPH5jVRvmwNNHh3ACbN2Yajlx/jWXwa1EaDUIdv1+dWx19J7pAg/uVwX6JD fIgvDiwdha5NKsCZ6/d8ReBc7gN0GrUKe3xDESvMh0pzqZI3tvklq7RfhVkP Y3oo7p34AbN7t4JHyYLIyfxysbKt4TNmJbZdDEZ0qpZpYKtQ2yPq4P/PzODL 3Bk/B7v/lPS77Edtdxzpc0JALdYlWaxGvpsouxTsmhgT8PTGz1g11gvvViyM vDlywKlwKVRoMwCjVxzBpeBkpBnsNbHUf54g3jaYfo+5x/T7Z6J+Lybq93yu DdCs7xym3+9J9fO/p98V/siQhMh7x7F5+kB0rG7X755tP8GXm87hXoSo37mf YoEg5JhRXB9ksffgeC3zpI6mvEvw/eNSnpzH0WWj0LNFeZTg+8cVcWd+cjAm rT8H3wi9tP+7PF9hdlj/nhh4Fnvnj0I33n+e6/fc5VG18UeYueoUboelUP86 gsiWiH+PNv3O/Zo+A6qQyzi1ZhL6tqqGUgVzI0cOZxRzbwafUcux7XwIixN1 sMifdNDtcs05H0sHVVIAfPfMx5Tu9VG1VGHkzOmCklXbode0zTj+ayQ0Voj7 AEGO67IqE23X72KvJTEGNjMfbWLxpFBXL9S7G6FPj8KzO4fx43cj0Oe9Gqjg Xh4VPDph0KRV2HvhkZADM5pNbAjZ5CiafB9BvF0InY6QFH4bx36Yit4tq6FQ npzIk7cQCpRqgbZDFmLbhQA8T9PDpt+tL9Hv3B+ZtDCkBOD24cWY0q0xqhZ3 Qs68xVGyujf6zNqGfTefC/Oq4nKorK4nF+chmHp/iX632s5PzJuLvtZqFtfI WwX9bhYeoU9AqO/PWD6qI5qVK4w8TL/nL1wS5Vv3x6jlh3ApKMmu3+Weo+Rn CeItwoD02Pvw2/0fFmfWRUVJv+ctUQ9Nen6B5Qd/Q3CCTrGGUVFvmjnvpE9E xG9HsH5aP7SrVgou+Zl+d6mKBl4TMG/bJTx4niL2W1bod2XNqDAxYLVnxF5f zGfvQsf/ZzFokPHUF2fWT8bA96vBvWAu5HZxRelmfTFy2VGcDUlHstYEW/95 hZ80qhMQ7X8UW78chPbVXVHMyQk5nKuiZpvx+M+WK7gbSfu/E0T2xN7Twyrp d6tRA330XVz/6WuM79oIVUo4IVeOfChU0gOt+n+BJcwfBsWrxHWHEP2YvJ7b ovCRZmM6i1v9cPSHKRjcpgrKFHdBLid3VGw2AJ8sPgbfwERh7zi5Lt1s0kGT moCYp8F48uAe7t27i7t37+KeYPy5+Jpo9/6BiZ+9K9g9NvY9cfz7/ngYFIZn cclI1xnEdVJyDsvCtLug35kO598vLQohv53E/lUzMabHu2hYqybq1O+IXsPn Y+3ea3gYkQSNWV7vKet3M8WUBPFWIvrI9JjHuPLTAnzC/Gn5wnnhlK8g8hWu i2bdP8Wyw7cRlKByqAF31O9iTZBZn460Z9dwetNMDPmgFsoUyos8LmVQ6d0h GLf8F1wMSkWq1mSPT416aFPjEfc0CIEP7uM+93k2P/hP/Kejif5TGk/y04Jf vcf8aWAYIuJTkKHTS/pdNJPZCINBL66PNyvWRQn3D7OUfzeLOtxigEXzHE/O bcH8QW1Q343dP3LkRIGiZVDDaximbDiJ6+Hsd5igUO+k3wni7cIEVcIT/Hpo AT7t1xhVijshX+58yFOoBup7TcW3u6/jcaxa8DdQ5pjgqOeFNZuaGITd+AnL J3RBy8pFUdDJBU7FaqN5z8+xZN8dBMdmCJofNj9t/+fI687XSLE3pHMyaaFP uI8b+77BBJ+GqFIkP3LnK4ES1b3R9/MdOPhrNBJU4hyxVfHd+XMdj2l9d2DJ pM5oVKEwXJh+z+1aD/X7fonvD99DQCKLic0Wex9ngiCyCVbFo9SHk2lWiyYa Ydd3Y83UrmhdvQSccrK4qXBpVGnzEcavOoGrYUzrGh31u9lita+DZD/Rp0Uj 5OouLJvYBe9WLoKiBVnMyvxC037/wdJj9xCcqJc8n+hTDelxeHrzJPYs/BzT hvZF39490LNnD/Tq2Qu9mfXqJVtPxfHfsZ62z/bo1Vu0Hr3Q58PBGP7pYqw4 fBP+UWlMfzuu4RT+8bWnmliE/3YUW+ePRvfW9VCuTFXUatoLI/+zEfsvPkJ4 bCo0BoOiRkue36WmyATx9mKFMSMGoX4/YfW0rvigZmEUdXZCzvxuqPruAExZ fQI3w5JgFHwhj8nsvTns67nN0KtiWZy1C2umdcN7NVzhkicnXNxr4d1BX2Ll ifsITTdBa7avOdKlxyP81jHsX/Ip86cfon9v7vOU/rO3ZP/El/Zivrm3YHy8 PsxPc+Pjde83BCNmfI+1h28hICrd1k/Pyu4renUaUhLiEJuYjGS1DgaLvBbT LK19l+4h/CqwmNSU/BB3Dn6HyZ1ZTFo0P3LkyINCrjXRfMBsfHv4Dh4nqKCz yvrdLMy7glolE8RbhBWa5HA8PL0a84a1Rm03ZzjlyYNcThVQ670R+GLzBdyN TLfpd3E+1AS515E9j20R9gEOuLgRX49oi4blXFDAuQhcyjVDhxGLsPlMICKS tGIoJ+t9swlGA+/dqYFao4aKmVqjgYaZVqOFVqsVjl+t8XHZ7zQaYRTqlSzC 2ipzehD8T6zE531aiL0+c7OYu2xrdB63GjuvhCAmTWs7T7t+N0OTFIYHp9Zg 7rA28HAviAJMvztVbIaWfO/j808QlmYS1h7Y92IiCCJ7IGtLRX2MVeyZnBTq ixOrJ2Fgq2oomS8XnAoURdGaHdF1ygbs9QtHbIYRcn6Ix16ifpfWFUGP1Gh/ XP5RzOFXKpIfBZ2LobhHJ/SYuQkH7kQgXmu21T1y36BLisCDE1uwcHhXtK1Z juljV7i6lYK7mxtKu7nD3b003Nzd4cae/xPj47i7s2PB+DhsPFd3lK1UA57e IzFx9Un4BidCZZL76FmlcigLDLpkxD+9ihNbP8Oobg1QlX23EhWaw2vYfGw4 8RtCkjTQm+2xqDifC0m7k34niLcZK69FCmX+Y80EDG9bGWWLOiNnroIoVf0D 9Jm+EYduhSPZaBX2rhRiQ3kvNLl3hkULVdxDXNn9DSZ3b4DqroWRO6cTXGu0 Rp9PN+LwbxFIMcu9RETUSZF4eGo9lo7pjLa1KqEC85+uzOe5C/6Q+T63MtLj P/GpzB8LY5VmvtkNZdxcmZUSfLRruRpo0PFjTF9zEjdDk9l3sop98NWJiAq4 gysnjuLQ8XO4fD8UUela6OWaLYu0fkuS4GaDCurIqzi3aQoGtq4GN5fcyJG7 IIpVaYnOU9Zgq+9TPE/X2dZfWWX9Tr6WIN4qDBlxeHZ7Hzb+pz861HFFced8 yJmnJCrW744x3+7F+UexyDCK9T6ifpdz8Yrd0C16pEfdxZUf57KYtSGqFM8P 58KuKN2gK4bO2Ylf7sYgQSX1GRXqmwzQJscg4vEd+J4/hePHDuPw0cM4cvQo jh49hmPcjol2VHjtVdlxnDx3BdcfhuFZsgo6szg3atFGI9h3F5aN8UKLikWQ L7czCpWsh5YffoUlh39FYHyG0EsZyvp5qx5pUbz331xM6tYQFYs7w8mpMErW 7Ygen23G3tssztfy2N7e548giOyCGDOJ82pi7kcMgEzQJIXCn8V/80d0Yv6g GEoWKgSnkh6o12kcZq85hgu/hSImOR0qvdQ7mOdNTEboMpKRGPUIt85ux7IZ /dHeszyKF2Q+oZwnmvWeji+3X8LtZ8lQm+Se7KLp02IRfO0ots+bgk96d0YX by909OqITp2YeXVij97wYtapU6f/ybw6eTFjx15srI6d0Ll7bwyYNB+L91zD vYhUaEwWe07IrIeG1wU8vIxfdi3ArJGd8H7TOvBs2AqdBs7Agq2ncSM0Dmkm i7jvspw/g1Wh3SmgJIi3GhYbqhND8PD0Oiwd7433armjqJMTCpWoiSadx+PL Dcdw8eEzRCSkQa03wSytYef9jfXqVCRGPMK987uwfOaHaF+vHFyLFmexWS00 ZZ+ds/U87jxLgT5T6lmbFocQv4PY9e1kfNK3G7px/8l9npfsC70l+2d+1Ntm XoL5CL6a+dfOvTFowlws338ND56nCfrdbFBDE8PuCYc3YuH08fhk7FTMXroF By7fxcNnCUjO0MFgtIi999i9wGhUIzk6EA/ObcLKGd3Ruo47CjnlQf7iFeDR 7iNM/eE4LoYkI0VnEu9Yij1FSL8TxNuFxaBCRtSvuLL7K0zuWQ9VXQsiR478 KFahEdqP/Babzz1ElNoIgxDrZt5ziUdrfE+hJIT/ehgbP+uHDnXKoHDe3Cjs WhUNe07CNz9dxqM4FYsN7fWqRk0a4h5ewuGVn2Fk93Zo2ageGjRsgIaNGqGR ZA0bNnzF1gANGjVBm64DMW7Rjzh6NxJJWoO4DsmsQvyTCzj03cfo1bgsCuXN I9TMVnr/I3yy8gSuhCYh3STt9SSvzzelIzbgAvZ+PRy9G5VD8QIFkN+5NGq2 +RhT156GX1giVGb5Or3uNf0EQfwd5P4Xtv5tkOs1+fyiCsnhv+LS9q/waS/m i8oVgYuTMwq7e6Bxp+GYtHArDlzzR1BsKtPwJqHHmy4jCVGP/XD+p2WYN64X 2tarhFIFC7A4tTI82w/HjDVHcSkoHglqo7TfkL0XqNnI+91FI/LJffjf9MON a3645sftmmB+ftfhd/0G/G7cwHVmN/6Osc9d55+9fl00Ntb1a9z82Hi3cPtB IIKjkpCmMQjxprhPnB5mbTwiH5zDz8unY6hPU9SqUgV1mvlg0Ixl2HbyNgIi EpCm1Qu9UczCenmzZJaXmKTpZf/3svb6BEH8CxHXr2dE/ga/n/k6zWaoX6YQ nPM6o3iZWmjkPQwTvt2K/ZfuIjAuFRlMy5pMBhhUiYgJvokLe1Zg/vg+aFe/ MkoUKoTCxaug9vsjMGnJUVx4FI1kQccq9rmQ/Kma+9Mgf9y7fZ35QD/R7zGf et3Pl/nDa8w3Xpfs7/hT/n4/4fPc/K7z8dhrbNwbfFz2nl8fBCAkOhGpGr3g F03aFCQHXcCR5RMwsJUHalYsh5qN26DX2K+wcNc5XH0cg7h0PfQ8R2bWIj0x CL+d34ZVsz5El6aVULp4QeR2ckFpzw8wYPZaHLgZglitCTo+Njtj+V5C+p0g 3j54rwyDKhLBvsxnTPbBu1VKIn+OXChQtCJqtxuNzzeexe3IdKQb7DOc8q5D giI1aWBIeoxbhxZjRu9m8HArjDy5C6JUtXfRZepy7PQNRKzaoKhv4vo9BdH3 zuDn78ajb+t6qFWhNMqVK4fy5SuifAVm5cu/WmNj8/HLVqiMOq18MGTeZuy/ HY5EjUFckw8DMqLuwW/HbIztVAdlnHPDybkICtfuAJ+ZG7Dn1jN2DmbY18qa YVZFiWtcx/igZYUicM5XEE7FPdC873+w+NA9PIlT8ZkN6i1CENkaq4OJ05Rm oS4p6rejOLRoNIa190CVEgWQP28BFGUxZ32vARj19Q/YfuIabj8MRlhoEB7c PI+jGxdg9sc+eL9OebgVZv6gYClUbOCDATN/wB7mB/k8qN5ifeG3CnOiZhOL O/Uw6HTQ6fSi6XWS6W2mfxUmjC+Nzfspmcw2jS0oeJMK+sRHuH10BWYNbgPP CsVRuFg51P1gEKYs/Qm/3HiIwJAQhIWFIjQ0FCFKC5GPQxDK3vM0LBzPYxKQ rNIKdfbCGgN5/3ea0iSIfzl8kpJFQtokRPufwv7Fo/Fxu5pCb1DnAi4o7FYd 9dv2x5ivVmPbCT/cDmC+I/gxHt86h1+2focvRnTGB/UqoaSLMwowf1qlfifm T9dj1+VQRKRopbjS0YfL/tTE/SnzcXrB9NKjVrL/xYfK42Qel+fSDcIeHGZp PpPPXaRH3salHXMwsXND1C7FzrlgUZSv0xLth36OueuP4cz1B3gcFISwoLu4 eXYXfpgzDL3fq4HyRQvA2dkFRSp6oPWgKVi87yoeRaeB77gn74REuxsRxNsL 9wJmYxoSQ6/h9EamX7s0RW23QihWuARKV28N7xFzseSns7h8L0joq8nzNDoD 0/w6NdKTYhD+6AauH9uA5TM+hFeDynAvXhzFyniiRc+J+GIbz0MnQGUw2fIv 3OOYDCokP/OH39GtWDHvU0yfMBbjx43H+PETMX4Cs/HjX7GNE2zchEmYOXch fjh4ETfZ98rQm6Q1q2boUp8h+Mp2rJjSE21quqJU4ULI71YTdbt+gs+Yj73g H4m4VI2wh3xGYjSe3jmNg8unYVg7T1Qu7oJCxcujcpOeGDZnB47ceY7YdIO0 vtVec08+liCyG47JYNlLmQ0aaOIC8eTKz9i+cApG9u2AVk3qwrOuB6p7Nkaz jr0xeMJn+HLBYixdugjz/zMN4z7sjA7NGqCuR13Ua9gcrb37Y/isJdh4xA8P I5OhNpulnX9f/j1e556Zf31vTQgxp+b5dZzd+hkGt6+DCiVd4FKsDKo38ULf Tz7FVwuXY/nyZVi+bCmWLlmKJUu5LcGSJUpbLDyuWr0BOw6cg+/DCMSrdeIe JHJ/PGmtPEEQ/1asUg83PVQJoXh8eTd2LpyIsR92wPstGqBOrZqoVacRWnTs g0ETZuPL75Zh6eLv8O0XUzFuYBd0bFEfnnU8Ubtec7Tx6o/RMxdj07GbuB+Z jgydPa6Uf5fy+OU+7vXuTWz7HVJPeb63iD79OUJv/4LdS2ZgXJ/2+KChB+rX rYu6zTrAq98nmPz5fHy3aDGWL5yLLyYPRb+OTVCvZmVUrFIL9Zu3RfcRU/D1 loO4+CACiWpj5tkKiisJ4i1FXK9oEnpsRPqfxcGVkzDKuw483AujaOHiKF6x Hpp0Horx36zGj2du4V5oDKKioxEfEQT/K0exY/FMjOvXBs1qlYVb8RIo7uaB Jt6f4PO1x3E5IAopOgPMQv87uf8bn5c0wcj1f3IcoiPD8VTK44SGhiE0LEw6 fg3Gxg6PeI6YpDRkaI0wmcUaVj6PaTKpkBpzD9f2fY/ZA95Dw/Il4Jy/AAqX rYVmPcZg5ppDOPlrKAKDg/Dgyi/YtWAqhrWtj5puRVHApThKe7ZBj6mLse3c fYQna6A32RqxUKKJIN4ghDZ2zGeZDVpoM+LxPOwerp7diy1r5uKziQPR5f3G qFO9KqrV9ECtup7wrOeJOrVro2bNOvBs1hE+g6Zg1vw12H7oLPwehOB5Qhq0 vD+7Va7hyV4I9VRy32dw/Z4G1bOrOLlpJgZ2aIBq5d1Qive7q1gF1WrXg2f9 RmhQvwEaeNZDfU9P1GPm+YLxuY56aNrSCz1Hz8fyg7cQkJBh65nMri5VJRHE vxqxVtEi7YNuMumhSYtFXPhvuHVpP7aumY/Pxw1A9w+aok7NmqhaozY86tZH Pa5tPWqherU6qNO4HbwHTcS0b9Zh2/4L8PN/iudJKmgM4r4f2XEC0Lavu0WM dU28l4gqEVGhv8Hv1A5sZzp+xsdd0aG5JzyqV0dND3a+zJfWq1sbtWuy+0q1 GvBo1hbeQ6fhq+U7cfTqPQTGJCFFI+7xSRAEwbFVjTI/o02JQND1n7Ft/jB8 2KYWqrgWQn4nZ7i4V0XtD3pg6MzvsXzLfuzZsxcHd23Eyq8mYkhHFsuWL4ZC zoVQpGQteLYciLFf78DhW08Rla4X+95Z7P3rBf1uzfqKcqHfJ/9q0t5PfDWR QZuAqIensG/pBAx83wPlCudHnnwuKFGxIVr2mYzpi7Zi46ZNWDl3Gj7u1Bwe TLu7OBWES7m6aNp/KubuPo/bEUlQG01Svz+psQr1ciKINwO5Db3gF0SdaTJp kJYShaeBN3Dp2FYs+2IChvftii4+3ugo9IXzgZdPV3TuNRBDp3yDhdtO4tyt JwiPSxL3AZb3ChJWLGY/PyCuGZDXqENY/6+NvYebx3/AvOkjMKBPD3Tt2hnd uvqgS2cf+Hh3hk8nbt7MxF5OL+/15INufYZi9OersPnUXYQkq4ReU2LvPtFH Zr+rQRDEq0GsbWQeVFhLKMxe8hiQ+VN1WgyeBtzC5aNbWTw1BcM+7I2uPp2Z L+HmDW9v5me6D8DgCXPx/dZjOHMrCOHRqcjQmoR4DbaebdnPg4hfT9Tv/B4i 9LHjV4H51fTEp3h6/xxO716C+VM/wsCe7Dx9fIR+etyP+rDz7t57IIZP/xpL fjyBK/fDEJumBV++StKdIAglcu6F1/zwuva02Me4f5lp+CWzMGlYb3Rp/y6a Nq6POg2ao2WHXug35BOMGjUGY4YPRr8uHdCqcUM0aNQCLdr2RN+hM/HF9ztw 8II/guIymI612OqJxFhNod+l/k3WF9Yv/Z/OW96vQ6534vcXkxaqxFA8vLIP mxdMxche7fFug9qoWcMDHk3boX2vIRg0RDzvlg3qo1bNhmjYshO6j5yJrzYd xmn/Z4hR6YX99izSHntWi3IvU4IgsjWZ9LtF2jNS7IecjPhnj3Dn4i84tHsb tm/djE2bmW3Zgs1btmPrrj3Yf8oX1x8/R3SKGjqjtA4SdsueGWdF7Sf3hGbm wzKiEBngh/O/7MdPu3Zg27at2L5tM7axc97CznfL5q3MtojHLzN2XTaz92xn 1+TAqWu4HRiFRI1eqJ8X94mX9prL6lMnCOI1Ie1OznPvtvUyUjxoNkCnShL8 6a9XTuHQzz9ix9Zt2LpF4Vd27MG+E1eYP32G6GQ19AaTtJ+P0rKfB3HMv1uk fd3FOUteT69Lj0FU4C34nj6Avbu2YuvWrez+IfpMfv47ftyDQ2eu4lZgBOLS 1Pa+IdSjjiAIBaK2FvUmr/UxGzXQZMQhJoLp+FvncWLveiybMxnD+/dCF6/O 8PbuBh+frvD28YZX527oNmA0xn25Aj/8dAaXrj9EcHgsktI1LHYVeyLJ9ekW aZ9Ked7UahfQ9hpzq2Kd+Gv0U1arol7UtiZK6jfC/KsmLQ7PA3/F9WM7sX7+ NIwZ0pOdb0e06+SFTj6d4N2RmXd/DBj5Bb5eswfHrvkj4Hkikll8ajCL9yuz tDe07MfJ9xLEm4HV5hss9rk3ISZjcahBB3VGKlKSEpGYkIB4ZgmCJSIhMRnJ aSqodPZ95SyCLzCJejXLq45ehtSN1Cr6KjFfxL4zi6/1WhXSU5ORlCieY6Lt XP+6JSYmsWuSwa6JAUbuX+W5DPk+kNWnTxDEa0Pop8H9oEXqW6nwq3zvXhPv M6Lwpw7+g/uOVMl3SDkR2zyoMlbMZghzoFI8LcZ+FliU8xdmE4x6NVRp7H6R GP+iz0xKRkq6Cmqd2AtPjs+VNVIEQRCiTzBLJueJ+Z4/Bug0aUiOfYaQh3fg d+EcTh07jmNHjuEIs8N8P/VfTuL0xeu4+SAUT2NSkK7WwWSyOPpoKHWy9YXf 96JZX3s6XtolSqoHsNj2eJP3eRP6AXD/mvgczwJ+w42r7NxPHsPRY0dw5OgR YR/5X05exGU/fzwOi0FiBu+tLI8g1sparLJ2V+h3giCyOVZFv0l7vGnrYWGV VxxZ7e0t5FccfJxyntCSrfWq7btbxO9plnyi47yqRdEv/+8MrrhOVnnlu12/ EwTx78Uq+1OHGE+MkWCLwWSzyu5VchiOcaI9vjLZ35/F5/cybDUGL9QK2GNi q8K3SossM91zlPcOs/0eki3PmCCILMHWX83uR6QfSHVOJhgNeui0Wmg0mhdM q9VDb+C94KR8szKGlSM+h0BX6JDEzAR5Bwyrw7//F+L5incXxxoBW52/tAeJ XqeF9oVz5/s8GWA0STVdcJwDUASttmtBnpcgsjsKfW77J/1NO0wsyjHXH+v3 FyzrTuyPkXyzMoa063eln4b9EvzFcR30u1UxT5p9rwZBEK8E2VdaMh3L8Zc9 3nLM3Yj6HVaTLa9j98VmOMaq2QyHsNfuS23rk+RYU/Ktgtl8onSukrS3WjPf iwiCICRe2fpzybs4BKlKR6b8XUr/nVWeSY66lRG7473lr12PF8exfe7lhwRB ZGuUGh4v8U+Of80vKv4X3vIG/f3b528zz+1a/xdnJt8KFFeVIIi3AetLTHzd YW7U4ceK/LSiT90b4z9s/k766sq6LcV9xXZ+ma5NNm3NRxAEgezrf9+AewNB EMT/DfKHBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ BEEQBEEQBEEQBEEQBEEQBJHdsVqtWf0VCIIgCIIgCIIgCOKtQ6nH/0yb85/L RhAEQRAEQRAEQRBE1pBZy2fW6qTfCYIgCIIgCIIgCCJryKzJlc9fZgRBEARB EARBEARBZD2k0wmCIAiCIAiCIAgi+6PMtVssFsHMZrPwSLqeIAiCIAiCIAiC ILIepT43mUzQarXIyMhAeno61Gq18BpBEARBEARBEARBEFkP1/BGoxGxsbG4 e/curly5gosXL+L27duIjIwUND3l4QmCIAiCIAiCIAgia9Hr9Xj+/DlOnTqF RYsW4dNPP8X06dMxf/58HDhwAEFBQdBoNEI9vQzpeYIgCIIgCIIgCIJ4vWTu VxcXF4d9+/Zh2LBhaNiwIapUqYJKlSqhTp066N69O9avX4+wsDBB51OPeoIg CIIgCIIgCIJ4/cg96mTdzevmAwIC8PXXXwva3cXFBbly5RIsX758qFChAiZO nAg/Pz+kpaW98HnS8ARBEARBEARBEATx6smsv1NSUnD69Gl8/PHHKFeuHPLm zYt33nlHsBw5cqBw4cLo2rUrdu3ahYiICKGf3cv0O0EQBEEQBEEQBEEQrw6l 3uY6/PHjx/jmm2/QqFEjId+eM2dOQbdz4xqe63leTz9+/Hhcu3bNtg6edDtB EARBEARBEARBvH4MBgOio6Oxe/duIb9esmRJh7y7bFzP85r6Vq1aYcWKFUIv O+WecqThCYIgCIIgCIIgCOL1wfd3v3HjBj777DPUrFnzhbp5Of/OH3Pnzi2s g+f97c6ePSvk4GXdTnl4giAIgiAIgiAIgvhn/Jme5vXvvOf8oUOHMHDgQJQq Vcqm15UaXnlcrFgxdOjQAdu3b0d8fLwtB0/anSAIgiAIgiAIgiD+GX/WW06l Ugm591mzZgl7xBUoUMBBu7/M+Nr4atWqCevgz58/j+Tk5Cw4s39G5mtAffdE /s41eNuvFUEQBEEQBEEQxOvgj/Z248d83fvOnTvh5eUFZ2dnYa+4zDn3zCb3 on/vvfewbNkyBAcHw2w2Z+FZ/nVedg1Iw/+9eYy3/VoRBEEQBEEQBEG8al6m 3ZVr1fl+748ePRJ6znt6er5QJ/9XcvB8P3hfX18hj/8maLqXXYe3Xb/TNSAI giAIgiAIgsg+ZNZlXLsnJCTg4MGD6N27N1xdXV/oV/dHxvP0PAfftm1brFu3 DqGhoW9EDv6P6hGIF6FrRBAEQRAEQRAEkbWo1Wr4+/tj/vz5qFevHvLnz/+n mj1zDT3fT65q1apCDv7y5ctCDl7W8NlZ82XW77yHH5mj/VHdBkEQBEEQBEEQ BPF6kbUX12c893706FF89NFHKFeunG3d+981vlc83zOe96KPiIiATqfL1jlb pWbn3zU1NVXov8/7AMTExLx1xs87OtrxeWxsrNCTUKvVCvMxL9PzBEEQBEEQ BEEQby7WP3j2e+/PbK8Ppebie7bfvXsXc+fORePGjYU6+L9SM/8y43l7vmf8 lClTcOnSJUH3ZXd9xzWpXH+wZcsWfPnll5g6dapg0wSbxo6ZTZsq2tS3waRz ZsezZ8/GD2vXCvsS8PkN5f6ApN8JgiAIgiAIgnizUWhw/j9mFunxZUrHKvyz wPZmq8VhDP4z62vU8zzfvH//fvTr109Y9543b15Bv/McfJ48eQTjx5k1Pa+X 5z/j75d/Lu8H37FjR6xfvx7h4eHZeh08155cuwcFBWHTpk3o2bMnPDw8UL58 ecEqCFaBHTOrUF608v9mq5DJyqNGjRrw6uSNRYsXC/M8aWlpL+TgCYIgCIIg CIIg3kwkzc21jYXXZlth5o9W0aw2bS/rc1mjW+z6XWFWq5mZON6rlPHKnvML FixA06ZN4eTkJOhyrsMLFiyI0qVLw93dHS4uLg419fznPNfO9T6vty9SpAhy 584t/IyPwTUfz93evHlT0MeZf2920Xz8/Hmd/4EDBzBs2DBUrlxZ+P78XMhE y5cvP0qXKYsePXpi46ZNeBIYKNTSk34nCIIgCIIgCOJNh6sZWatbuO628DXD zKxm8Tl7hGBKjS5pIUH3y2Z20O5WWfK/Irh25bl3rl379++PMmXKCNpdzq1z Dd63b190794dtWrVEnStrN953t3NzQ3e3t4YMmQIGjVqZKu75zq/UKFCaN++ PTZv3izoY4frk430Hq/vP336NEaNGiVo9wIFCkh1Bkr7++sI3mTLkdnY9eD7 A/K5nD59+uCnn34S1sUTBEEQBEEQBEG86Tjodyh0uJRjt4LXk8saXtbxVlgz 5eL5+8TPWqW3yBr/1cBzqA8ePMB3332HJk2awNnZ2dZHnufeuf7ma+InT56M Zs2aCT+XNR6vma9UqRJGjx6N77//XtD5ct87WcNXr14d06ZNw507d4R6a4dr lE1yt7w3265du4R97/g5CbUHTLPL9jbqd0cdn1OwnDlyCv9NGzZsiKVLlyIk JMThOmb1f0eCIAiCIAiCIIh/ilXS72amv81mE0wmI4xGA4zs0WQWc/FWq4np ciPMJoP4M6PRbux9ZvYzB/1ukfX7/66V+Jp03nP++PHjGDFiBCpUqGDT3jzP XqVKFUGb8zXhn3/+uVBbn1m/V6xYUdgrbuvWrZg1a5aQg+d5WnmdfIkSJdCt WzdhbT3Pc/PzUl6f7KDfeY913iv/vffes60b4N89J7sW+Zzzo2CpIihctjiK lGNWtgQ7LiE+/5dZYcFKCOfIrZBbUeRzKYCcufMw/Z5b0vE5ULduXSxcuBDB wcEO1zGr/zsSBEEQBEEQBEH8M6xCzTvX6CazHlpNOtKTE5EUn4DEpBSkqvXQ mazsZwbotelIS01AQmI84hPikcjfk5CI5JRUqHQ6GOV177xfmMViq6X/X+F7 s/O8+Jw5c4Se87zeXc698z3gfHx8sGHDBpw/f154T/369YXaclm/83XRPN/O c/MnTvyXvfsAj6raGjBMCYEk9N5BBUEQQUroWAFRwa6ISpdqub9iAaUFsVds oHTFrhSv2BBU7L1eAQELCIRQhAABQrL+vfbMCZMw9CGZs/O991lPAheTzJnM mfPNKfOWzJo1S7p37y7lypXLOk9eW16Pu/euRb9p06Zs7xseDc2n/T5z5kw5 /fTT7W3yrsEXWyJOKjepLU17nyln3nmpdBp1mXQcebmcdafOZXLWyEvNx0sD n7sy5vadPfIK6TSyu7QdeI7UblVP4suWkIKFCmcdh3DKKafI/fffv0+/q2i4 PwEAAADg8GQGO3unpG74U379+G159Zkn5KHx98h9D0yQCVNfk5f/+4G88848 eW3mJHnioXvk7rvvkrvuGifj77pL7h5/r9z/8JMy+YXZsuCLH2X5PxtMy+v+ +IyI7X9PSUmRefPmSY8ePaRixYr2fHbtM93Hrj1/l/k59Frj33//vT2G/uST T852/rs2up4vr/vfP/roI/tawMMPP2z3Y+u17Ow+7OBrAXqOvJ4Hv3r16v0e R59XvOPnzzjjDLsMbL8XKijxFUpKvfOaycWTBsl1n90tN355r1z/+b1y3af3 mdGPd9u/v+6ze5yYoTrm9l3/xf3yHzPXzLpJTu3RTkrVKGePRQjt9wceeIDj 5wEAAAA4I9Dv22X98i/kzUfukH4d20rD2sdJ3bqNpXG7C+S8K/tLn17d5ZJO HaRtk0ZySqMGctJJdaXuCcdJ7VonSJ36TaVt5ytk6KjH5IUF38rv67dK2p6M 4DvJHX0ree8Zp9em033v3nXr9Hryuh99/vz5snXrVvnf//4no0aNkoYNG2b1 u3d+u17PbMiQIfLpp5/aa9QtXLjQ9ryeF+99Pb2mXYcOHeTxxx+3/ybazoMP 2++FC0mJyqWlyRVtpd+8ETJ27RRJ2jBNRiVPk5Frp8noNTpTZfTaqTLKoRm9 bpqMXT/d3NYZMmTxXdJ6SCcpe3xFKRTj9XtB+h0AAACAg7RTU2Xtbx/KS2MG SNdGtaWk6aAiMcWkaImKUq5KbTlOe752PTm54anSPLGZnNqojtSoVFqKmY6M KRInJcrXlMZnXiE3PPSKvP/LGtm8O12vaCeReBM577rrvXv3tu8P5+1/r1On jgwbNszue9dz5H/77Tfb7+H2v2u/Dx482PZ7cnKy/bcPPvhgtvPg9Rx4fY3g +eeft63sm36vYvq9u+n3N02/m24ft3mGjA42/Ojk6bZ1nZv1pt9Nuydtfk6G fna3tB7a+ZD7HQAAAAD8Szt1m6xb8qG8kjRALjillpQ2XVi4YCEpUKiYJJSp JSc1P1e697tNku5/Qp6c+KQ8+ehdcvvgHtKlRUOpXaakxJuGL1+rsZzeY4Q8 8voXsiRlu+xI16979K2r157Xc5j1vHU9P133uet7g+l16PSadnpeuPa7t//9 QP3+ySef2NcDdD788EMZN26cXH311XLJJZfIoEGD5JlnnrHXuddz7vP6ePmc DtjvV7SVvvOGy+i1U2Tsxukyav1UGbluiozU/dW6/33NFGdmlH40t3OMNvzG GTLkk/HSekhovxc44PHzAAAAAOBf2tnbTb9/JK/eNUguaVxbypoujCloWqhw cal4fDvpdu39MmXeV/LbX8mydv06WffPMvnu3RdkwvVXSuf61aR8bCGJL1lZ TmhxsQx94FVZuGyTbErbE5mfLiPDNvyqVavkyy+/tMfL63XovvnmG7svXa8V n56efsj9/u+//9re14b/+eef5d1337Xn1y9evFj+/PNPSUtLs/9/Xu9vz+lA /d44W7/PkNEO9/voYL+PtfvgZ5p+v1vamH4vR78DAAAAcJ7X7x/La8F+L2e6 sEihWCkUV0Xqtr1Kbnrsbfli2QbZtSfQsxnpafLv8q/lgyeHy4DT6stxxQtK sbhSUqn+aXLFiGfk9e/XyLrU3Qf9zgcS2s862uja8Vu2bLGjn3vHuOv/9+uv v8rIkSMPqd/trTb/7c6dO+258/p327Zts18n3PeOhoY/un53rOHpdwAAAAD5 kjbwDtPvi+XVuwZn9XtcXFkpX6+TXHjTJHn5679kzfZ0+2/1fd4lY7dkbFoh S995Qu7u3Vaa14iTuPjiUqLWqXLGgHvlqfeXyV8b047qp/K6OSNj7/vQ5exo 79+EHj+v7/t9KP2+v+8Z+v1Cv0dedzz9Tr8DAAAAyO+8fv8kW7/HJ1SQqo0v lmtGvyhv/7ZONuzWf2faPTNdMk2/Z275Q37/YJLcP+A0Sawdb/o9QYpXbyzt +46XCW//Jn9u2HFUP1W4bs6Nfj9Qu9PvUTL0OwAAAIB8SZs0LUe/F5biJarI cS2ukkH3zpWP/0iRLRn670L6fetfsnzRZLl/8JmSeHxx2+8J1U+Rtr3HyaNv /Sp/pGw/up8qTDPv78+h578fTr/vr9XD/R39HkVDvwMAAADIl7IfP39x4+Ok bOEY0+/V5PjEnjL0/nny2Z8bJNWeam76NTPDHj+fueXPQL8P8vq9uOn3RtK2 T5Lp9/8ddb8fDm//++Gc/+439Dv9DgAAACC/865ft1he2affr8nR795/ki6i /b7w2ZB+T9jb729rvx/d8fOHg36n3+l3AAAAAO7bX79X3X+/Z2q//yErFj5j +71laL/3HRfo96M8//1w0O/0O/0OAAAAwH0H7vchpt8/PUC/PxBF/X6016+L ZvQ7/Q4AAAAgv6Pf/YB+p98BAAAA5Hf0ux/Q7/Q7AAAAgPyOfvcD+p1+BwAA AJDf7X3/uLD9/kCw3723PtePGabf//0zeP26M3Jcf55+Pxbod/odAAAAQH4X 6Pe1pt9fHjdILmxcW8qY5i1eoooc1+IaGXz/PPnkrw2y1fZ7pmSG9Pty0+/3 DjxNWhwXb5o5XhKqnSxteifJI/Pz5v3j6Hf6nX4HAAAA4KpMr99/+1heGnOt dG1US0qaLowvXlFqNb1KBtwzVz7+M8X0e6YE+t2M7fc/5PcFE2V8/7bStFZR KVYsTuIrnSStrxktD/33V1mZsj3XbgP9Tr/T7wAAAABcp/2eafo9ZcWXMn/C HTKoS3tpUqeOnNyopXTo9n9y59ML5OvVmyQ1sON9b79vXSV/fjpLnh5xuVzQ oYGc1KChnNyqs1w67DGZsuh3+XtTWq7dBvqdfqffAQAAALgu0/5vp2xZu0S+ eXOGPDXqFrmhX3/TuzfLrUlT5Ln5P8iylFRJC/a7PYA+Y4/IjhRJ/m2RvD3z Xhl32yAZOGiQDB42Su6ZOk/e+2mNrE/dJZkH/e6RQb/T7/Q7AAAAANfZ/emy W3ZtWy/rfv9Bvv9ogbz/5nx5++2FsmDxz/Lj8vWSsn2n7M7Udg/2u37cvU22 bfhTVvz8qSxeOF/emj9f5n/wkXz60++ycn2qbN+1h36PIPqdfgcAAACQ32ll 75E96WmyI3WzbFqfLMlr1ppeXC/JKf/K5tQ02ZmeLhmZpsczg8fP6+xJl/Sd 2yR1S4qkrF8ja9aaWW9af8tW2bZzt6RnZNDvEUS/0+8AAAAA8rvAcfHa53sy 9ki6afWsMY2uf5dhuz1Hv2dkSoZp9Iw92v57/xttaf17+29zqeDpd/qdfgcA AADgvODx8JnetekCfxm8rp1emz5j759DGz54KH24rxf4N/R7JNHv9DsAAAAA BPbB52ztnH+XuZ9/t7+vl3vod/qdfgcAAACA6Ee/0+/0OwAAAABEP/qdfqff AQAAACD60e/0O/0OAAAAANGPfqff6XcAAAAAiH70O/1OvwMAAABA9KPf6Xf6 HQAAAACiH/1Ov9PvAAAAABD96Hf6nX4HAAAAgOhHv9Pv9DsAAAAARD/6nX6n 3wEAAAAg+tHv9Dv9DgAAAADRj36n3+l3AAAAAIh+9Dv9Tr8DAAAAQPSj3+l3 +h1AfpaZmZnXPwIAAMAhod/pd/odQH6m/R46AAAA0Yp+p9/pdyD/ytmu+bFf wy2D/LgcAABA9KPf6Xf6Hci/6NYAGh4AAPgB/U6/0+9A/rS/ZmVoeAAAEJ3o d/qdfgfyn4yMDNm1a5ekpaUxIaPLRJ8XAQAAohH9Tr/T70D+oev8TZs2yS+/ /CLvvfeevP766/Laa6/J6znmtXwyr7/2uh37uVkWb7/9tvzwww+SkpIi6enp eX13AQAAZEO/0+/0O5A/ZGZkyLbUVPn666/l/vvuk4suukhatmwpiYmJ0jI4 +nliixbSIp9MYovErNFlcd5558no0aPlww8/tK9zcPw8AACIJvQ7/U6/A24J d962/nnHju3y+7Kl8sykSdL1/K5SvXp1KVasGBMcff6rVKmSfa544P4H5Kcf f5Lt27bn0b0IAACwL/qdfqffAbeEuwabrutX/f23vPzSS9KrZ0+pU6eOxMfH SyGzPvSmYD4fXQba8fq6xsUXXyzTpk6TlStXcj48AACIGvQ7/U6/A+7J2e87 d+6Ub7/9Vm4Zdos0bNhQEhISpFChQlKogOlW87gvGHz859fRZWBfxzDLpGjR olK3bh0ZMnSIfe7TZcdx9AAAIBrQ7/Q7/Q64KXu/p8nnn38uAwYMlBo1atp1 YYGCgWYtTMObZVBIYgoWMsujkG34ylUqy1XXXC0fLPxA0ky/6/X6AQAA8hr9 Tr/T74B79t3/niZffPGFDBo0WGrWrBVcF5p+L1RQ4ksnSNWGtaXumY3lpPNa SP1zm0m9Lk2dmvo5Ptfb2OD8FlKvYxOp1uR4KV6ulBQuWDir3/W5r2fPnrJo 4SKz7HZJZgb73wEAQN6j3+l3+h1wS2i3e3/WY8C/+OJLsz4fIrVr15ZYXRfq MeNmXViubjVpPfBc6T75P2Z9OFJ6zRku17xxmxPTM9vcmvV57zm3S///jpSr n7tZTv+/C6XKybWlYCGzHgz2e/Vq1aRvr97y0aIPZRf9DgAAogT9Tr/T74Bb 9tfvX375pQwZMtT0+3G23+353uaxX+XUE+S8e/rKsO+ekHEps2R08gy7DnRl RgVn5NopgVln1uvrp8v4jS/IiP9NkkufGiy12p4kBczzQoHgOfDVq1WXfr37 yEcfmn7ftYvz3wEAQFSg3+l3+h1wy4H6fbDp91rB/e+Bfi8kVZueIN0e7CfD f3ta7tv2sozfMkuSNj/nxIzLmpmStMnM5sDcteV5uX/HqzLqzyly+eTrpHZ7 7feC2fq9j+n3D+l3AAAQReh3+p1+B9yWff974Pj5IsHj53VdWLXJcXL+/b3k 1l8fk7u3Pi9JKTNkjFkHujKj1+2dMWb9rjM2ZZrcnTpLRqx4Wi6ZNEhqt61v lkXBwDX9TL9XM/3e2/T7ItPvO+l3AAAQJeh3+p1+B9y27/HzgX6375tWqKBU bVxbzruvpwz79VG5a8tMu47I83VVBGeUztrABP5usoxOnmJu63Ny+/Kn5JKJ g6TWfvqd/e8AACCa0O/0O/0OuC3c+e85+/3crH5/zsl+H2n7fapdB3r9Pm6f ft97/jv9DgAAohH9Tr/T74Db6Hf6HQAAuIF+p9/pd8Bt9Dv9DgAA3EC/0+/0 O+A2+p1+BwAAbqDf6Xf6HXAb/U6/AwAAN9Dv9Dv9DriNfqffAQCAG+h3+p1+ B9xGv9PvAADADfQ7/U6/A26j3+l3AADgBvqdfqffAbfR7/Q7AABwA/1Ov9Pv gNvod/odAAC4gX6n3+l3wG30O/0OAADcQL/T7/Q74Db6nX4HAABuoN/pd/od cBv9Tr8DAAA30O/0O/0OuI1+p98BAIAb6Hf6nX4H3Ea/0+8AAMAN9Dv9Tr8D bqPf6XcAAOAG+p1+p98Bt9Hv9DsAAHAD/U6/0++A2+h3+h0AALiBfqff6XfA bfQ7/Q4AANxAv9Pv9DvgNvqdfgcAAG6g3+l3+h1wG/1OvwMAADfQ7/Q7/Q64 jX6n3wEAgBvod/qdfgfcRr/T7wAAwA30O/1OvwNuo9/pdwAA4Ab6nX6n3wG3 0e/0OwAAcAP9Tr/T74Db6Hf6HQAAuIF+p9/pd8Bt9Dv9DgAA3EC/0+/0O+A2 +p1+BwAAue9YbD/Q7/Q7/Q64jX6n3wEAgBvod/qdfgfcRr/T7wAAIHcc620G +p1+p98Bt9Hv9DsAAMgdus1wLLcb6Hf6nX4H3Ea/0+8AAMAN9Dv9Tr8DbqPf 6XcAAHDs2X3vGXtk9+5ddvthd/oeyYjwNgT9Tr/T74Db6Hf6HQAARMr+twky M3bLru2bZd3aVfLH36sleeMW2bErPaLfnX6n3+l3wG30O/0OAAAiIdP8L0P2 aXjd775nt+zYvEb+/PkzmT/3VZn1+nz58PsVsnbzjgMU/+HzW78fyTYU/U6/ A/kZ/U6/Azg63vWoQgeHj+UGf8sM/i/D/C7vkT27d8qO1C2yecN6SV67Sv76 /Vf5dtFceeGJcfJ/gwdI3/8bJxNe/0J+Xb0lqvv9WD8uj2SdSb/T70B+Rr/T 7wCOXLh2D53du3dLamqqbNy4UdavX8+EjC6Tbdu2SXp6erZlGbpsAb8Ifdzv SU+TrRtXy9JvP5MFc16RF6Y9IQ+O+o8MuKyznNaskRxXs540OqOn3PDku/LF ik3h9tgfsUj2e87HY+hj9GDrvgPN0aLf6XcgP6Pf6XcAR+5A26TapcnJyfLN N9/Im2++KS+//HK+n1deeSXr41tvvSU//PCDbN68eZ9lybEM8Bf9Xc0I/L6a SU/bIut+/1renvKwjLz2aune7Wxp16y+nFC5tJSIi5fCsRWkRosr5NpH35ZP l0dvv9tblsuPw0P5XvQ7/Q7kZ/Q7/Q7gyO1v2zYjI8NuG3/22Wfy8MMPy8CB A+XKK6+006NHj6zP88vobQ6dq666Sq677jp5+umn5aeffpK0tDS7zGh3+JN3 3HxGoN93bJY1//tY3njkTrnugo5yduvm0rhBHalVpayUjDf9XrSS1GjZQwZM eEc+i+L97/aWmdujj019PVKPJ4r06Nf1Hvve9zsY+p1+B/Iz+p1+B3Dkwh3z rdujGzZssOvVBx98ULp27SoNGjSQmjVr5tupVatWtqldu7bdpuzevbs888wz tuF1P7wuO/od/hPyO6vHz+/aLv+uWSLfv/+avPTEQ/Lw3UkyathA6dm1tZxc s4IkxFWRmolXyaDHtN83RnW/a1vrts7WrVvtei0lJcV+1PNfjmb0a+jo415f v9Of2y5J+p1+B3BA9Dv9DuDI5exM3QbdsmWLLF68WG677TZp2bKllC9fXooV KyYxMTH5dvR5JedoV2hLdOjQQcaNG2fPM9BGoN/hR3t/bzMkY89u2bl9s2z4 Z6Ws/N/P8vO3n8vnb02RJ4dfLh0bV5cyxStJzRZXmn5/Wz6P4n7X27N9+3ZZ vny53eaZN2+ezJ49W+bMmSNz5849qtGvofPee+/Z1+82bdpkf3b6nX4HcGD0 O/0O4Mjl7Ezdf6zbli+88IJ06dJFypQpY9cb3nYUk3207StUqGD3w+s1AvS6 dqHLlfUrfCNT9va7mT170iV99y7ZtTNNtv+bLCm/zJc5D/WVi1rWkvIlKph+ v0IGTZgf1f2u15f8+eefZdq0aTJs2DDp16+f9OnTR/r27XvUo19HR8+jeeSR R+xrnro/3tsPfyD0O/0O5Gf0O/0O4MjlfPzr+Zyr/v5bnn32WWnTpo3d767b lrpO1Y8xsUWkaIliUqx0vMSVTsh3E1u8mBQuEpNtmSQkJMi5554rL730kt0u D122rF/hH5my9z3kMrP1+J60f2Xr0nflv4/0k4tbab+XM/1+uel33f8enee/ 62Pvjz/+kEmTJsk555xjtn2qScWKFe3rbfrxaEe/jk7lypWlVatWMnLkSLst umPHjoPeRvqdfgfyM/qdfgcQOV6/Tzb93rZ1WylWNNDvOrpuLVGxlFRsVEOq t6wjNVvVlRqJ7k9NM7UST5SaLetKxQY1JL5cSdvw3ral9oX2wYsvvihr1qzJ 1fuL6+Xti2URedrvW5aYfn+4r1zcMqTfH4vufv/ll1/s19HrdxzL43D0Z+rZ s6fMnz/fvt/mwdDv9DuQn9Hv9DuAyLH9vmqVTJk8Wdq1bSdxxeLstqWuO4om xEm1JnUk8dpOctaoy6VjUnc5e/Tlcpbj03H0FdJ59JXSaVR3adbrLKnYsJbE JsTt0++6/z2v+531+aFjuR26vf3eb2+/Nw/2e5S+f5zep0uWLJF7771XEhMT 7bFEuh7zXo+M1Og2Z506dezP9MEHH9hj9g+GfqffgfyMfqffAUROoN//lsmT n5W27dpKsbjA/nfdloorXVzqn9NcLnlqsAz8YKwMWXyXDFyUJAMWjpUBixwd c9sGmds45MPxMnjheLng4f5ywuknS1yZhKjq95zvX8Uc/HUNXvs4dH7td308 vvLKK3L11VfbxtZrcZYuXdpe1+NoR7+OTvXq1aVTp07y6KOP2v39uk16MPQ7 /Q7kZ/Q7/Q4gcrL6fYrp9/ZtpFh8oN8Lm22phPIlpckV7eTa+SNl1Kpn7frU roP+mez06G0cnTzNbjf3fu1Wadi1uVkWJaKi35XXnto9+j5Weg18vRY2s3d0 mei2gnd98ENtfAT4sd+VnouuzafXlnzsscfs+0SMGTPmqGfs2LFZn9933332 ep/ff/+9fS85rl9HvwM4MPqdfgcQOdrvq02/TzH93q5dG7PtHOz3IoUl3jRr kx7tZOD7o2SM2abU9cyYDdNldMq0fWe9GzPKjN7GpE3PSVLKc9J3zh1y8oUt JaFCyajqd12X63kPev6t7gfUrtDraWkD5ffR1nr88cft+3zp/aPvsUC3Hx6/ 9ru3jajv1/7333/b/lu6dOlRz7Jly+zo5ytXrpTk5GT7PnW8fxz9DuDg6Hf6 HUDkBPp9lUydPFk6tG0r8cVCjp83/X7KlW2l/3umC8325NhNM2VU8jSzbWm2 L5ODs86bKc7MKHO7xqTMkLHrZkifN+6QBt1amX4vFRX97u131/ete/fdd+XG G2+Uli1bSv369e3xwnXr1s33o8uiffv2csstt8jChQtty+XcD48D26ffi/uj 3z16fom+bqPrt2Mxod1+KL9T9Dv9DuRn9Dv9DiByAtefXyVTnp0s7UP6XY+f jy+n/d5O+r03yjZ60sbnZPS66Wb9My3MTHVi7DbzOrNtmTJdksxt7fvGCGnY taUklPf6vWCe9rt2g14v69tvv5Xx48fb97HS97OLjY21z4VMESlatKg9X7lD hw72WGddVnqNcBp+X5nBkczMwASr3Ov3Nx/qKxcnar+XD/T7o/NNv+99//es yQy8j7zO4Zb9sej3aEO/0+9Afka/0+8AIsd7/zjt93am33XbuZB3/rvp9ybd 20n/d0fb7cgks701eu204PZkyKx1aPT2rNP972bMurX37NukYbcW9loAe/s9 Ps/6XY/Z1daZMGGCnHXWWVK2bNms62Ify/fL8sMUtFPQ/v7GxMTYa5dpLz38 8MPy66+/Zl0nnIYPygy857st7qz+Dun3396V/2br9yvC9Hum/TxDr6mYqecp pB92w9Pv9Dv9DriNfqffAUSOd/06+/5x7druPf/dbEsVN/1+6hXt5dp3Rtt1 T9KGGTJmrWPbkuHG9rueDz9Fes2+RRp0ax7S73l7/PyWLVtk8eLF9rj52rVr 277J626OlrHtXqCQ6ffAe4bpsqlWrZrZVhgiH3/8sb3WmId+DyyDjOBkuz6A BPo9dcm7Mv+hfnKp6fcKCRVMv3eXQRNC3/89M9jvmfT7QdDvIUO/A/kO/U6/ A4icrH6fsm+/J9h+b2f6fVT2fv8n79eFx3Rsv0+3/d579q059r/nbb9rvyxa tMj2jHZNVrvqPufYGClWMk6KVygpxSuVluIVdUrlgyltz2+IK5EgRWJjzfNe TNbxCBUqVJB+/frZ8+D1uvQe+t3r9ww7mRnBBpdAeWfs3CLbly+Q9yYMkMtb 1ZaKJSpIrcQeMvTJBfLlH15DB/bea69nZHhfK1MOd7HS7/Q7/Q64jX6n3wFE zv76vZB3/Hx+7Pe1Xr9Pzer34lHS77r//aOPPpKhQ4fafcvezxRTrIiUrlle 6nVqLG0HnSOn3XSBtL+pm7T7T1dp/5/zzXSVDlmfuzEdzJx2U1c57f+6SpuB XaTe2U2kVLVyElM01u6L19/jSpUqyYABA+wyC93/Dq/f9wSOm9f+zsiQPRnp skev+7Zto2xd+p68M+Fauby19nt50+/dZcgT78lnyzfK7vQ9km66e09Ghv3v MkL7n37fB/0eun6l34H8hn6n3wFEDv0ebvsyuvtdjwW/7rrrsvV70RLFpFrz 4+XM2y6U/nNHyNCPx8sgMwMWjZOBC5NkkPk42E6SmbHOzJCPxsnQD++S/rPv kDNuvkgqN6opsQnFpECw3ytXriyDBg3a5/h55Oj39N2ya9smSVm1Qpb//KP8 +OUn8tm8SfLUbZdIp1OqStn40lLl5HPk8hETZeZbi+W7H36RX5b+KX+v3yJb 00zH7/GOvc887AvT0+/0O/0OuI1+p98BRA79Hm770n/9Xqx0vNTu0EAueLSv 3L7kCRmbYjrAzMjg+wWMXufNVKdGn+OT1s+Q4b8+KRc80EdqtDjBvpbhnVNA v++fd/y8fkzf8a8kL/lc3pp4j4zo1V0uP7+LdDo9UZo3qCGVS8dJbOEiUqxU FanRMFHanNFZul54jfS/4QF5dvbX8r9/tsmOXXu4/vwB0O+h61f6Hchv6Hf6 HUDk0O/hti/92O8JcvxpDeXCCf1l+O9Pyl2bZgTuL9PwY0zfjl2vH6fb98Vz Ysxt0duTtHGmJG0yz3/LnpYLHuknNRPr0O+HKuSadbu3pcjf374t00ZcKxc3 OVHqVK0k5SqUk3Lly0rZcmWlXFmdcubz8lKhfEWpUrWRtDxrsIye+L58vXKL bNvp9fsekcN8d3j6nX6n3wG30e/0O4DIod/DbV/6r9/jSpl+b99Quj3aT25d 8rgkpUyVscnZ3xtvlH3uCGw/+32ybotpeD3O4JalT0rXh/tIzRb0+yHz3vPd 7n/fLOt++0zefGq83HLVJXJxl87SsXNnOef886XrBRfKRRea6dZVzj/3XOnS qbN06dJd+gy5V555/cvA/vfdewJXog8ej0+/Z0e/h65f6Xcgv6Hf6XcAkUO/ h9u+9He/37JkgoxNmZbV76OyJti95nnDlRmtz/Fevz/UW2o25/j5Q+O983tg Mvfskp2pmyX5rxWy5Mfv5Luvv5avzXzz7bfy3Xffyffffy/fm4/fmT9/8/U3 8s03P8hPv66QVes2SWpauuzJyJTQ/9Hv2dHvoetX+h3Ib+h3+h1A5NDv4bYv /drvgfPfb1vyuD3GfMx6PUfce77wnjNcmUC/j0meao+jv2XJE7bfazQ/nn4/ JFnv3C624YP74e058VnXlD/IBM93Dy32zOBXPhz0O/1OvwNuo9/pdwCRQ7+H 2770Y7/HB/u9z95+T9Hr1U0OPl9MC9x3eb1sIzqBfh8b7Pfz6ffD4l0vPnDN +CPZLshe7KF/OpyvRr/T7/Q74Db6nX4HEDn0e7jtS/rdH0O/H41szX3Yb/sW evz93uvgHcn2Bf1Ov9PvgNvod/odQOTQ7+G2L+l3fwz9flRC4j1Twvd3aJcf 6hwu+p1+p98Bt9Hv9DuAyKHfw21f0u/+GPr9qGTteA8e9R6mwQ+n2en3/aPf Q9ev9DuQ39Dv9DuAyKHfw21f0u/+GPr96IQcQZ+Z/Qz2vXPg/yznP6Hfw6Pf Q9ev9DuQ39Dv9DuAyKHfw21f0u/+GPrdBfQ7/U6/A26j3+l3AJFDv4fbvqTf /TH0uwvod/qdfgfcRr/T7wAih34Pt31Jv/tj6HcX0O/0O/0OuI1+p98BRA79 Hm77kn73x9DvLqDf6Xf6HXAb/U6/A4gc+j3c9iX97o+h311Av9Pv9DvgNvqd fgcQOfR7uO1L+t0fQ7+7gH6n3+l3wG30O/0OIHLo93Dbl/S7P4Z+dwH9Tr/T 74Db6Hf6HUDk0O/hti/pd38M/e4C+p1+p98Bt9Hv9DuAyKHfw21f0u/+GPrd BfQ7/U6/A26j3+l3AJFDv4fbvqTf/TH0uwvod/qdfgfcRr/T7wAih34Pt31J v/tj6HcX0O/0O/0OuI1+p98BRA79Hm77kn73x9DvLqDf6Xf6HXAb/U6/A4gc +j3c9iX97o+h311Av9Pv9DvgNvqdfgcQOfR7uO1L+t0fQ7+7gH6n3+l3wG30 O/0OIHLo93Dbl/S7P4Z+dwH9Tr/T74Db6Hf6HUDk0O/hti/pd38M/e4C+p1+ p98Bt9Hv9DuAyKHfw21f0u/+GPrdBfQ7/U6/A26j3+l3AJFDv4fbvqTf/TH0 uwvod/qdfgfcRr/T7wAih34Pt31Jv/tj6HcX0O/0O/0OuI1+p98BRA79Hm77 kn73x9DvLqDf6Xf6HXAb/U6/A4gc+j3c9iX97o+h311Av9Pv9DvgNvqdfgcQ OfR7uO1L+t0fQ7+7gH6n3+l3wG30O/0OIHLo93Dbl/S7P4Z+dwH9Tr/T74Db 6Hf6HUDk0O/hti/pd38M/e4C+p1+p98Bt9Hv9DuAyKHfw21f0u/+GPrdBfQ7 /U6/A26j3+l3AJFDv4fbvqTf/TH0uwvod/qdfgfcRr/T7wAih34Pt31Jv/tj 6HcX0O/0O/0OuI1+p98BRA79Hm77kn73x9DvLqDf6Xf6HXAb/U6/A4gc+j3c 9iX97o+h311Av9Pv9DvgNvqdfgcQOfR7uO1L+t0fQ7+7gH6n3+l3wG30u//6 3bvP1iUny/IVK2TpsmV2li373Yz5uNT8eelSZ2ZZyNg/29saMkuDYz7X5aHL JW1HmmRkZASWV67eO8jv6Pdw25f0uz+GfncB/U6/0++A2+h3f/R76PfQ7/nP P//IBws/kCnTpspTkybKUxMnysSJz8ikiZPMR/38aadmkr1Ne2dS6Dxt/k7H 3PZp06bJgvcXyKq//pKdaWm23b0BcgP9Hm77kn73x9DvLqDf6Xf6HXAb/R69 /a5fN+co3WZabLadRpvn5m7dukmnTh2lY8eO5mMn6WxG/9yp09kOTUdzuw40 5jZ37CQdzccLL7xI7rzjDvngvfdlQ0oK7Y5cR7+H276k3/0x9LsL6Hf6nX4H 3Ea/+6ff9Xv9vWqVzHvzTRl2yzBpa9qgevXqUrlSJalUsaJU0o92Kjo4lcJO 5eDo5xXN1KhRQ1q1bCU3DL1OXn35FVm5YoXsTNvJNQqQa+j3cNuX9Ls/hn53 Af1Ov9PvgNvo9+jvd+/zrVu3yiLzPf/vppukcZMmUqJkCXtfxcR4E5PvR5dH Qny81D+xnlzbt5+89eZ/ZfOmTZJhtmeA3EC/h9u+pN/9MfS7C+h3+p1+B9xG v0d/v3tff8OGDTJr1iw5//zzpULFivb5qkCBQuZjYSlYQMd8HlxX57cpGBzv zyVLlpR2bdvK0089ZXsgPT39mNxHQE70e7jtS/rdH0O/u4B+p9/pd8Bt9Ht0 9nvOdlcp69fLtGlT5eyzz5ayZcuaXjU/j2n2woVjJNY0QlyZBEmoUEISzHZx QjnXp0RwSkpc6eJSJC5WChU2z98FAx2fkJAgzZo1k0ceeURWr1ptmwrIDfR7 uO1L+t0fQ7+7gH6n3+l3wG30u4/6PSXFXl/d6/dCwX4vUjRWytQoLzUS60jd sxvJiR0bm4/uzon68axTpJ5+flZjqd2yvpSpVVFi4s1zeKECtuHpd+QV+j3c 9iX97o+h311Av9Pv9DvgNvrdX/0+ffr0bP1e2ExcqQSp3aa+tLv+POl6f2+z vdlfuj7cx8npFhz9/IJH+8kFD/SVM/9zkdTt0Mgef6C/s97+9+am3x/Vfl9N vyP30O/hti/pd38M/e4C+p1+p98Bt9Hv0dnv4Xj9ru8VFzh+voBt+BIVSskp l7aWy6deJzd+cb/c9OMjcuN3Dzg0D8qN3+6d/wQ//t8P5nZ++aBc8/zN0vyq 06VEpdL2d7aA1+/NTb8/Sr8jd9Hv4bYv6Xd/DP3uAvqdfqffAbfR7/7td++6 bSUrl5Hmfc6Qvm+NkFGmA8Ztmmm3wUY7NKOSp5kxH9fpTLN/HrvpOXP/TZNB HyRJm0HnSKkq5ez9Q78jL9Hv4bYv6Xd/DP3uAvqdfqffAbfR7/7q99Dz37Ou te71+3zT72sny12bZshY81zlyozJanjzcd1U2wL6Mcn0+5h102XwonH0O6IG /R5u+5J+98fQ7y6g3+l3+h1wG/3uSr+fLn1Mv49c86wkbZweuC2OzKi1gfso cP/svd+SNs6029Dsf0c0od/DDP3uk6HfXUC/0+/0O+A2+t2Rfu9t+v2t4XKn 6Xd9vvKa16XR+2eMed4dE3z+HRvS763pd0QJ+j3c9iX97o+h311Av9Pv9Dvg NvrdgX6vVEaa5YN+H2UbPvDcOyrY73q/DfxgrLQe2FlKVikrBcP1O+8fh1xE v4fbvqTf/TH0uwvod/qdfgfcRr/7v99L5Ox30wSht8/3E7x/7Efvdq3N0e+D TL9Xpt+R9+j3cNuX9Ls/hn53Af1Ov9PvgNvod/f6PSmk312ZUd7+95A/j9k0 w16PPtDv+zl+/hH6HbmLfg8z9LtPhn53Af1Ov9PvgNvodzf63Tv/feQ/+ajf zfOy3ncDgvvfS1Upm63fmzVrKo+Yfl9FvyMX0e9hhn73ydDvLqDf6Xf6HXAb /e5Ov/fNh/1+p+33MdJqn36Pp9+RJ+j3MEO/+2TodxfQ7/Q7/Q64jX6n3/0w 9Dv8gn4PM/S7T4Z+dwH9Tr/T74Db6Hf63Q9Dv8Mv6PcwQ7/7ZOh3F9Dv9Dv9 DriNfqff/TD0O/yCfg8z9LtPhn53Af1Ov9PvgNvod/rdD0O/wy/o9zBDv/tk 6HcX0O/0O/0OuI1+p9/9MPQ7/IJ+DzP0u0+GfncB/U6/0++A2+h3+t0PQ7/D L+j3MEO/+2TodxfQ7/Q7/Q64jX6n3/0w9Dv8gn4PM/S7T4Z+dwH9Tr/T74Db 6Hf63Q9Dv8Mv6PcwQ7/7ZOh3F9Dv9Dv9DriNfqff/TD0O/yCfg8z9LtPhn53 Af1Ov9PvgNvod/rdD0O/wy/o9zBDv/tk6HcX0O/0O/0OuI1+p9/9MPQ7/IJ+ DzP0u0+GfncB/U6/0++A2+h3+t0PQ7/DL+j3MEO/+2TodxfQ7/Q7/Q64jX6n 3/0w9Dv8gn4PM/S7T4Z+dwH9Tr/T74Db6Hf63Q9Dv8Mv6PcwQ7/7ZOh3F9Dv 9Dv9DriNfqff/TD0O/yCfg8z9LtPhn53Af1Ov9PvgNvod/rdD0O/wy/o9zBD v/tk6HcX0O/0O/0OuI1+p9/9MPQ7/IJ+DzP0u0+GfncB/U6/0++A2+h3+t0P Q7/DL+j3MEO/+2TodxfQ7/Q7/Q64jX6n3/0w9Dv8gn4PM/S7T4Z+dwH9Tr/T 74Db6Hf63Q9Dv8Mv6PcwQ7/7ZOh3F9Dv9Dv9DriNfqff/TD0O/yCfg8z9LtP hn53Af1Ov9PvgNvod/rdD0O/wy/o9zBDv/tk6HcX0O/0O/0OuI1+p9/9MPQ7 /IJ+DzP0u0+GfncB/U6/0++A2+h3+t0PQ7/DL+j3MEO/+2TodxfQ7/Q7/Q64 jX6n3/0w9Dv8gn4PM/S7T4Z+dwH9Tr/T74Db6Hf63Q9Dv8Mv6PcwQ7/7ZOh3 F9Dv9Dv9DriNfqff/TD0O/yCfg8z9LtPhn53Af1Ov9PvgNvod/rdD0O/wy/o 9zBDv/tk6HcX0O/0O/0OuI1+p9/9MPQ7/IJ+DzP0u0+GfncB/U6/0++A2+h3 +t0PQ7/DL+j3MEO/+2TodxfQ7/Q7/Q64jX6n3/0w9Dv8gn4PM/S7T4Z+dwH9 Tr/T74Db6Hf63Q9Dv8Mv6PcwQ7/7ZOh3F9Dv9Dv9DriNfqff/TD0O/yCfg8z 9LtPhn53Af1Ov9PvgNvod/rdD0O/wy/o9zBDv/tk6HcX0O/0O/0OuI1+p9/9 MPQ7/IJ+DzP0u0+GfncB/U6/R1O/e9vI+jEtLU02bdpk1/OrV6+Wf/75hwnO unXr7OMxN7sC/kW/0+9+GPodfkG/hxn63SdDv7uAfqffo63f9Xdy69atsmzZ Mlm4cKG89tpr8uKLL9p1PhOYOXPmyKeffip//vmnbNu2zS4zXXa0PMKh3+l3 Pwz9Dr+g38MM/e6Tod9dQL/T79HU7xkZGXaf+2effSb33nuvXHrppfZ+a9eu nbRv354Jjm7b9+zZU5544gn58ccf7esduuxoeIRDv9Pvfhj6HX5Bv4cZ+t0n Q7+7gH6n36Ol33X7ePv27fLTTz/Jo48+Kp06dZKKFStKfHy8FC1alAmZ4sWL S40aNeTiiy+W6dOn2/uKY+mxP/Q7/e6Hod/hF/R7mKHffTL0uwvod/o9Wvpd fxeTk5Nl7ty5dt9yrVq1JDY2NuvnYvaO/g5rx9evX19uuOEGe56BPj51GQI5 0e/0ux+Gfodf0O9hhn73ydDvLqDf6fdo6Xd9PtTvOWHCBGndurUUK1bMbqfp /ZXXvRxtUzDYGCVLlrTb+boPXq/xx/YrwqHf6Xc/DP0Ov6Dfwwz97pOh311A v+fsd93Om0y/50G/6zay/i7ec889cvLJJwfup+AUMvdX4dgiUiShqMQWL5Z/ JsH7vKgUiYuVwuZ+Cl0uug8+MTFRnnzySfnjjz/sMgRyot8n723DkH7X2zrc T/3eKz/0++TA/WPvM7OduXG6fe1F+701/Y4o4fX7ZNPvbU2/F6PfTfPu7fde wX5P8GO/r/f6fUrgNQlH+32M9vtSr99PoN99wtsWod9Nv88dbh6fgXWsbtMF +n2Ks/0+Jlu/nxO1/e79PNruRYvHSdnalaRW63pS96xGduqceXLImL9zaOqc eUpw9Laaj2ecbNevpaqWlZhY8ztcKNDveoxCy5Yt5amnnrLXoj+S7VfOmfeP I72vDtzvhbL6/eZfHrX7pF3q91FrvH6fHGj3kH4fv+V5GbH86f30e7Vc6fec X1f7XY+n2W+//3dEvuz3gWH7PSGr31cfo35n/YhwDq3fR9vf63EbZzjYgGEm R7838FO/P9JHbjf9nhSm30c7dt+N8vrd3NZbTb93pd99w7tGtU56erov+j30 Zw6dQ3Gwfu8zd4RopyelzDS/09PsMTOj1pqPa6bZhg/82YXR9au3/32GDFkc ff3+22+/yX333Wd/F73j5mNiY0y7V5RmV50mPabdIEMXjpOhi8bZ7bkBCwIz yLEZ+MFYGWBm0IIkGfrheBn83li57MkB0vC8ZhJftri9v7x+b9WqlTz99NPy 119/HfL2a+hjJ/SxxLZqdDmS9d3+vs6B+/24rH5PMv2ur8vn/foqMuu8bPvd vT/rdozZfhm/ZZYMN/1+sfZ7u5PC9HvvXOn30K/t9XvHjh2z9XtJ2+9nSL// 3iGj/pls1+F5v3wje18Fzl0LdPso87nOmE2B26nrxNYDO0tJ0+8FQ/u9ebNj 0u+ReNwh+h3KfRzu3+jv2t+m3581/d6mXTvT73E5+r299Df9rr+7SZtmmm2v aXnwmMrdGW2bcJrdju79xu2HtP89tx5jof1evXr1rJ+pWKkEOa59Q9Pv/eS2 356QsdoB5vlPX4uwHbDWtfst8Brp2PVTbQvcuuTxsP1epUoV2+8fffQR/R6l /LL/PRL9fuaZZ4bp93bBfp9u+t1styZPDz5epwdnmiMTeNyOMdtDSeun2tcY hy4eL20Hd5Zyx0V3vxcpFisV61eTM4ZdIDd99YDcs+UFuTv1RUn69zkZu3mm JAVnnCOTtPk5O2PNjNv8vNyT+rKM3/C8XPdBkiT2Ol1KVCophYscfb+HNjvb qNHrWPe7tlCVxsebfu8lN/0a7PcUV9Z9IduWwdHPR9ptzemm31+QEcsnyiUT B0tt7feY8P2+c+ex6fdwz2f76/cSlfX89zOk71u6/91sf22cGQXLN7L31cjg hN5vY4K3c5BZ/7UeeE74fn/06Ps952OM9aJbjnb9mfP3IavfJ5t+b2v6vdje fo83/d5Y+/3d0TLKdHvSpufs+ibvH2PHdkabbtfjz8eumy593xguJ3c9+Pnv ufU6Wc5+97YvvX7vZvv9SdO0+vr1jODrLXrsj2v3W6AFxiabDjBzm+33XoHz 34tHrt9Zdx57uv/9119/lTvvvNMes5yz3737cPHixXne76GfR7Lf+5p+H7Nm WmD/+zpvOyLn77sL4+1/n2qPvdR+bzO4k5Q9rkJU93uM9vtJ1eWMW0y/f/Og bffx21+ScVtnybh/n987W1yZ52xD6esT47bMknvSTL//O0uGfniXJPY5U4pX KmX6Peao+h3+cqTbN6Gv0ey33826sEqT46XL/b3k/359zPzuPR/s97xeX0V2 9vZ74Fp2o9dPk7uC+9/1+Hntdz1Xp+B++j0j49j0u/fxcPr9zjVev+f9co30 c9Te+ytwnMSYDcF+X5Bk97/vc/x8hPud1zXdlHMb8mj+e2X7/e9Av7dtm33/ u+337sF+N7+7SRufyx/739cF+z15RqDfuyWG7fcXX3wxT/s99Pj5QL83CPb7 E5K0fmaw36dKYPt/ur2GnWstYPvdPAdqv3d70PR7s8j3O+vPyAtdrtrvv/zy iwwfPlxOOumkbP2uz5H6/tvXXnutr8+BONDx802uaCv95t5u+n2K3Sc9NlmP sXxWsp0r6cgEjkk0t0uvrblppgz+ZLy0HrK33wsG7/fGjRvLgw8+GEX9XkQq 1K8mHW7uKtd/ca/dHzNGj0fT47T0fKt1gdd9dXt81Pqpvh89d0zPzdVjJfQ8 LG34MSkzZIDZfm3W2/R75dL79PvEiRMj0u+sb6NLpI+f/+qrrwL9XitHv596 vJx7v+5/fyx4/Py0PF9fRXYmB+fZvev39Xr++3MyYvmTcpnp9+Pa7r/fc/P6 dRs2bDhIv98R6Hc9/z3Pl2uEn5/sfWNmjbmf1gQ+jt0w3W5v6nlF4Y6fb3oM 9r+zHsTBBM5/XyWTp0yRdu3bS1x8fFa/x5l+PyWr36cGzn9fNzXPH2PHdPSa FWabZbQ+Xk3/9pw9QhpckCgJFQ7c77ll//0eb/r9JHv9utuXTDAdMM3u4xq9 7tnAOTx5vVyP0XrWbmea+2qYXr/u4V5SPcf+d85/j045z3/X/e933HGHNGzY cJ/975UqVZIBAwbk+f73o7Fu3Tp54YUX5KyzzsrR72Xk1CvbybXz75BxG6bb axndtWm6JG3U10un233UdvRzB2asziZze0wPJqW+KEO/uE/aXHeOlD2+YuC6 5vq4Dfb7ww8/LMuXL8/V+0mfD5cuXWr3/esxAKH9XvGkanLasG5y49f3BfZP b31exmw2z4kbptt9hbotq9t5boxen2CquW3T7P01fvuL5uNzMnCh9vsZklC5 lBSODRw/r49Xfa+9Z555xm5LHO32K9yk963+bnzzzbdy/XXXy3G1jzfrwtis fq966gnS9cG+ctuSJ+Qe8/t2l57DsSHv11kRGXM7xoWM9/fjzPrjXnNbR/0x Sbo/M1SOb9cgW7/rMZZ9+vQ12y+L7fNkbvb7jBkzpFOnTiH9XlBKVi4riX3P ste01v1beu6+M/eR9xxl133m+Tc4+rl9PwSzjh/y4V3SdnAX0+/l9vZ78QRp lthcHnt8gu0BvZ+OFPvf85+juX/1d+2ff/6RadOnS/sOHbL1u+5/P/XKDjJw QZLpwRlyd+os2/CuPV5D17G6/ytp40y7fTlm0wvS681R0uCiVqbfS2Xr93PP PVdefvllu18tN2m/63nAN9xwQ/bz30vHy/GnNZCLHu8nd6x4Ssb/+5x5/tPt /mAH6P2WNVGwrI92HRscPb5T76vbVkyUbo/2lRqJe89/LxTc/z5kyJCInDsd qf0QyL4s9fx3fd8p3f6/8MILpW7dunafe4UKFaRmzZrSwayX7r77bvnpp59k 27ZtefLz6nbn1q1b7XGFycnJsn79+sMaPb9/0qRJ9raE9nvxSqXllEtaS8+X b5YRvz8ld/45SUaYx+/ty5+07wns3jwpw83tG/HnMzLir2el/7tjpGX/s6Vs 7ezHz+t5FOPGJcnXX3912Mv6aEa3v7744gsZO3asfS0pq9+LFpHydatI2+u6 2H0wd/wx0fz8E+W2lU+adY8ZvV1OzRPmNj1hb9ft5v66c9Wz9hjfPnNukyZX tpWEiiWynf/eokULe/2mH3/80S7Dgy1n7zGknaCPaV0HeOsFRK+MjAzZsWOH bNq0yd6HB1sX5vw3+ruxYMEH0r//tWbdXiv7/vdGteWcsT3kP5/fL6P+flZG rJwYBeuro5/h+xn9/0asfFpGrZosw75/RC56tJ/UblUvW7/rtV+uuuoqefPN /5plt9Ysy9xZDy5ZskQef+IJOf2MM6RMmTJZ/a7Xn292VQfp9cowuX3Jk+b5 6pk8X77H5Dnq95Axf77DPC/fvvRJ6TtvhCT2PVtKVN67/z0+IV6aNG0id99z jz2OUJvgUJdz6ONDt0/1+BR9jOXsd9aLbgrdh5WammqfDw9lvRq6PtXfuSfM Y1VfQ48LvX5d2RJyysVtpPfrt8vwZU/JSLO9NXzF01Hw+DqGY7ah9TYO/2OS 2S57RnrMGib1z22+z/Xrzu7YUaZMmWL3G+bm9uXKlSvlrbfesvsjdd0euv+9 dtt6ct59V8tN3z5gti8n2eeG4SueMNtfTwZu0/Kns543XJkRK/V2PiM3fvOQ dBl/lVRvunf/e6Hg/vd+/frZZbZixYps68wDPUa8/0/32aelpR3Vtcuwr5zL UdddP//8s234Pn36SJcuXeyxe7rtosdRf/bZZ3ab0dvOz036fKrfW3++hQsX yvz58+Wdd9455HnvvffklVdekdtvv12aNGkiMTGB4471+T/erGPrnNFIutzV Q3q9eov0mX279HrjFun52jAztzo5vV6/1V4XtPfs4dLtsf72/KRSVcrY7VZv fXb88cfLwIEDZcaM6Xb5vfvuu4e1zI9k9Hu8/fbb9n2P9XwN/Rm8fi8cGyOl a1SQUy5tIxc9fq30NT+/Tm+9Pa/d4uAEf/9eNffVa7dJv9kjpLf5/Pz7esqJ nRpLXJm915+PjY2VBg0ayI033iizZs2yj4+D3V+6nPWjHhesraANz/o0Onnr aK/d9T0CP/30U3sfevfjge5n79/o41h/Nx5//HHp1u0C89xcxa4LtQt1XVj+ hCrS6tqOcvnkIdJn3nCzHrwtz9dVx3xdaG5j33l3SI/n/iMdbuoqlRvVtN1u t8HN6GvYnTufY54DHzLbMIHH1bFeF+rXf+XVV2XYLcOkWbNmUqJkicBrLOZ+ 0iao37mxdLn7SrnmlZul95zb83wZHrP7Jjg99fnK3M5rzPPz+Q/2tu9HFV+u ZFa/63t21a1XVwYNGSwvvPCizDe/74d6H3mPD31sfPfdd3a70ztPgm1NN4W7 b/W1G93Hs2jRItsqB1uvhv7+6HHgw4YNk5MbNZKiRYsG1h2FC0tcqQSpa7Yt z7v3GvM8brYt5w43v8vur1P1NvYy29H6sfPYK+W41vXt+7N525a6jFokJtrj fXUfvD72jvW2pbdenTt3rt3Pofspdd3ubV/GmmatckotaTvkHLly+vVm21g7 QG+L2Q57/Ra7Dsrz5RrBucZ+vMV0wG329aUrpt8gbQafI5XqVZPYuNis4+fL lSsnXbt2tcts9uzZWdvoB9v28Napeq2d1asD5zSxDj12tMt1/7buY9fW1Wth 6XaeHnP+9ddf29clj+a4tEOV87nS+7n0uVXP77355pttV+oxHYc6eq5L3759 7Xvp6jkv3vaZbZ/4olKhThVpcG4ze12wlv3OlsS+Z0qLPmeYOdNOoiMTenta 9j1LEs1tPfni1lKlUS37+qO+n7i3ji1fvry0bdtWrrnmGrv8hg4dapelvg/B 4Sz7wxnve1x99dXSpk0bu+4Iff93bdaqTY6zx0u06nu2mY7Sss9ZZs60k9fL N/Jj7qPeZ0tLM236dbIfG3ZNlIr1q0uR+GKB97nSYxNMg+nrpKeddpr07NnT 3kfestzf6DlN+vHWW2+VmTNnyrJly+zrpIg+3jpR7x89TmrOnDkyevRoez97 s7/7OfT/198Jvd8vvfRSaXRyIylZsqQ9P8r2u1kX6j6S2q3ryalXtpWW15r1 YL+zouAxELn1Xs6x/79ZD7a8tqM0u/p0qXPGyVKyapnAc0Nw+6V48eL2mjAX XniRXXa6DA/22DqSyXk/6fOVnuulx7/p8TUFguc16fOVvg/HSec3lea9T5fE /mc59RwVuE/2Tsu+wfuof0d7OxtemGhfY4lNiNt7bFaRGKlQsYK0a9dOevXq JYOHHHz9F7rc9X7V42n1fDE9z1P3G+l2B/3uptD7U18T3b59u93unTx5su1w 3Td7ONs5vfv0ljPPOlOqVK1ifxcLFCxgt6W0gyqeWNU8Z7ewv7t6nKP+Luf5 4+uYP37N41WfO8zHk7o0te9tVESb0CwXHV1GtWrVlM6dO9n1nG5fHqttypzb l9oOF198sb22kl43w9u+1PcnLmXW/ce3qy9Ne7QPPPfZ23BGoAf6nulUD4R2 QEuzLd20Rwd77ZcSFUvbfWVev+sy0mNxdZnp40KX4aFsd+g69frrr5fx48fb ntfzl7mu8rGlz1n6OqQeY6LHtej+bj3/eePGjbn2+knO50rdL6g/x1NPPSWX X3653R9Rv359u7/RGz3O+kCjv3/632i76++j97yv6xLdh1msZLyUqVFeKph1 bcV61cxUNZ9XCfzZsakQHHsbzW0ta9ategxC4aLmMRvS73qMkzbhiSeeaJef LsdDXd5HO3r+hl5zQV+n9X4evc/0GHp9T9Wyx1WyrxNWqlfd3KZqzk+lE/fe 1jK1Kkpc6YSsfe/eNSbj4+PtuUp6f3m/8wdaxt79qMfd6/W59HU6vY4u26nR xztvXY/V1P0H+rzYvn37Q3o8hv4b/Z3Qz/W4Fj2nWo/byFoXmobX92gsUamU lDuhsm1EXUfk9foq0uu90KkYXA/q62F6bk7JqmaZJBTN6nf7vpVFikjp0qWl du3ax2zdF+65zHu+0tcPAq+xBF/H1Otimcd/6ZrlA89R9au69zyl94l9Hg4Z 8/tYwfx9mdoVzPNVcSlkO2nv+k/3wevzVb0T6wWW4cmHt+z1ei96zOG4cePs sYZ6nqx3HH3o8fTwv9BtTH1NVI8/03bXY02bN2+etX15qI/fevXq2ceqnsdh 3xOhYGB7Ra8npPvgy9SqsHfbMq8fW7n6+K1qt6uLlYgz661CWf2u+2JKlCgu NWpUt8v6YNsqkRrv+e+4446zz3+BY8/27h+KTYiVkpVLSfkTKgVvw77PH3m+ bI/RfVW+ThUpUbm0fZ3F7hcK3lf6/KfLSpeZvo4d2gIHWtb6b/X6VbrPVI97 XrBggT33mddEjy1teD1+TNdrOvq591p0XtDj2fQYm+7du0utWrVsp2jX6T6J wxn9b/R30XvPmawJrk/0Wt7ah/lt9LU2e76ntruOt441y0nXb0eyrI929Ht6 5ziE3leB49IK2Z85r5dbXt9fBXIsG72/9Pf7cO8vfT1Ltz/0NfDPP/88Tx/r 2D99HVOPQdL3+NR9B9qUR/r40m7XJgx9fAXOJwqctxmTTx9f9noShfZd5+iy 0mWW2+tA7/kq23rQWwfm8+ersOu/mMNf/3mjr1frdQb0/Wn0HEI9R8XbZ0G/ uyW0HfT83Hnz5tnjNk444YQj2r7M+VgNnXy/vaLvkRN8TSPbNvcRbq9EYsI9 /3nHTBTOt89/MYF9Qjk64Gie/3SdqsfQ6nUhdD+8vk6m25fe6HoVbsn52oz2 ux7Pf9lll9lr6u3T3wzDHPHo+ln3LepxUXrdQPo9Omm/f//99/acQd1nEfoe IQzDHN14x4rqOUjPPvts1vtwsq/ILTnvT+33N998056zp9czy7nPgGGYIx99 PUyPadHrn+v7SoX2O+tU94S7roi+d4G+N33Tpk3tsRz6PKvHFR6LKZEP5oiX TYkSx2y5h/teh/P98nqZRvt9t79lrK+P6nsy6Lmf+voo+5qik14XW89r0rY4 77zzpEaNGrnzOMxHk1vrtqNdJ2ZNFCwzV+6DUqVK2eOQ+vfvb6/xqNf7yXkO PPwv5/2pr4t+9dVXMmbMGElMTDxm25d5/bjK68fwgbblcnO7kvvs6Ne3h3p/ 6fV19JjpK664wl7jUd9nkePnc0deLNtw96tut+qxbHoMvV4TQY9v0/Vsy5Yt Iz6tvGnVKjChf+fYtAy5ndmXQSs7+ywbb5m02vf/i/j9EPK9DuX75Yf7K+d9 d7BlcbB/o48h/ajnJ+k1e/S6onrdJtar0UlbQvcVLV68WJKSkuw1YY/54zAf zrFepoe6/jvYOtHldd6hrt8i9Xyk60K9Vqvug9X3mNVr/+R8zyO4IfS+1M/1 /FC9PrZeW1vPIdPtS70mTCS3MfP68ZTXj+Gc23LhPo/0Y5r77PDuq5zL/Wg7 wFunXnLJJfLQQw/Zc//0OuQ49vLqeSvcazPe9UH1eDa9roy+t4eua/UazEw+ Hb3/+R3INvqYOJzHhfdvdV/TN998Y98zWV8rY1s1+njrQz2eV68B8+OPP9rX W1gPujOH+vjV6xfq5PXP69Loctdlqu+l+fvvv2e7dh3cE7qNqfezvlazatUq e/4Y25cRnNnBMZ/PnbP/dRbrM/dGH0N6XQl9v299X0bd98D5SPmT3tf63nW6 ntXjnY71pOaY3PieDBNujtXvYWpqqh19bUy7nfORop/eP971RfV+y+vfTYZx aXbs2GG3Mb12Z33oppwN4W1f6vMg61WGidyEW6fS8DjWMoMD5DV+DwEgd7F9 6SbaAch99DsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAuC0zMzOv fwQAAAAAAHAA2u7eHM2/AQAAAAAAx87htDv9DgAAAABA7svZ5eH6nH4HAAAA ACDv5OzyQx0AAAAAAJD7tMn37NkjO3bskA0bNsg///wjq1atktWrV9uPOsnJ yZKamirp6el5/eMCAAAAAJBv7dy503b6p59+KrNnz5aXX35ZXnnllayPCxYs kOXLl8u2bdvy+kcFAAAAACBfCT0WfuvWrfLVV1/JY489JgMGDJAePXrIVVdd ZT9ec801MmbMGHn//fdl/fr1efgTAwAAAACQv23atEnmz58vgwcPllNPPVVq 1aqVNXXr1pVLLrlEZs6caffRAwAAAACAvKHnvetx81deeaVUqVJFihQpkjXF ixeX0047TZ5++mn5448/8vpHBQAAAAAg3/L6vXv37lKhQgUpUKBA1hQtWlTa tWsnTz31FP0OAAAAAEAeOli/t2/f3u5///PPP/P6RwUAAAAAIN+i3wEAAAAA iH70OwAAAAAA0Y9+BwAAAAAg+tHvAAAAAABEP/odAAAAAIDoR78DAAAAABD9 6HcAAAAAAKIf/Q4AAAAAQPSj3wEAAAAAiH70OwAAAAAA0Y9+Bw5PZmbmPgO4 LHM/nwNAXgn3XJxfB0D+klv9ntfrtmgaRLdw95H+3bZt22TFihXywQcfyCuv vCIvvfSSvPHGG/L555/LmjVrZOfOndzXyBOhv2sZGRmya9cu+/uamppqRz8P ndTg6Oc7UrfJbjOZZjLMnzNSA5O5LdVOhh39c2AygpNu/k2a/fpbZYv9uC1k An/vfX+d7WZ2mdmTuvdrhH7d/Y3+G/3vtpnZGpzUbYHJebuybl/we6alpdnl AcDfvHWcPp71cf3XX3/JokWL5NVXX5UXXnjBPh/np3nxxRft6LbI+++/L8uX L5ft27dnre/YDgH86VAft5Hu95z9smPHDvvfeutZb72T1+u+vFjX6u3X9ezS pUvtNibbldEp52NHP9c2/+2332TKlCkyaNAgOf/886VLly5y6aWXyvDhw2Xe vHmyatUqSU9Pp+GR6/T3TH/3/v33X1myZIld386dO1def/11+xqTruNzzhtm /mvmczOrZ8+VXXPmyZ45cyV9tjdzJH3OHNltx/zZjvd3cyXFfPzOfO35b7wu r5mPb7xhvm5w3pht/jz79eDHN2SumUVmlpqvmapfZ+48M3ODM2e/s8f8//rv l5mfcaH9HoHv9Xrw64a7Xfa2mX8zx/x8uhyWLVtml8uePXvy+m4CcARCn0+1 3X///XeZNWuWXHfdddK1a1fp3LmzfT4+99xzs43+nctzzjnn2Ns/cOBAefbZ Z+Xnn3+2Dc9+I8C/vMesbtPpfoh169bZvkhOTrbt6G3LHG6/e699pqSk2K+n +x1122j37t32//O+r7cPSNezzz33nF3PduvWLc/Xd3m9nr322mtl4sSJ8uOP P9r7BdEn53OdPob0911fh7ngggukVq1aUqpUKSlZsqSUL19eGjZsaH+/P/nk k/0+d/L8iWNN1+vff/+9PPjgg3LRRRdJ69at5dRTT5WmTZuGnVPNnN2smdza vLksatFKUhPbyO7EVrKreUvZ2byVpJmPO8xsb5FopqX9804d8+c08+++N383 3vz35wa/VrOmzaS5mWbm75o2axqcZnbams97mY8zmyfK3+Z77baTaL6W+bo5 Zoc3iS3Nz9PS/PuW5r9rLteYr9GyWeB77e82hU6LFi3s62uPPfaY/PDDD/a1 ZF4zBfwj3PPoxo0b7b4Q3WatW7eufS4uUaKEfT7Oj6O3v3bt2nafgu5f0G1y 9sED/uU1tDai7jd88803bUfPnz/fNrXXGYfb79ruf//9tyxcuNC+/vnaa6/J N998Y9epofse9fWBzZs3230gl112mRx//PFZzZNfR29/jRo1bMdPnjzZLkdE P93u18fQ3XffLY0aNZK4uLisx0jhwoXt/aqv0Wjf6+tkPHciL+hrs7ouv+KK K6RSpUpSrFgxiYmJkSJFioSdGDNVzVweGytzYuPk36IJsqtonOyILSbbzWzz pmgxSS2qfxf4/3aaz3eYf/eJ+XxQkVg5PuRrxu7zfWLtlDaftzHzgPlvlpvv k27++13m+SXNzI4cs12/l/4cZnYXjZffzfd9ILaotDL/fcJ+bku40eevmjVr ylVXXWWPRdDX4PQ5CoA/hHsNXNdzug+kXbt29rk3dJs1v05CQoI0btxY7rnn HrutHnqsEdsggL94xxnpsYPa7UOHDpVLLrlEbrzxRvvapT7Gvf2Keqzhwfr9 jz/+sF2iffLOO+/InXfeabcT+/TpIxMmTJBvv/1WtmzZkm2/v37tadOmSatW rez6Ja/XcdEw2n66f0pbUF9HQXTT3/m1a9fa7f/evXtL9erVbRsULFjQTqFC hWwn6X7OMWPG2MeBPu6850ueN5Fb9Hgo3f9y+umnZ/sdPdBUMnOJmdkFY+Tf grGy03zcXrCwbDMft9mP3ujfx8gOM/pv0goWkcVmri1YSGodwvcpbqaFmfvM 11ph/rt0+3UKm69X2H6/cJNm/s1u82+XmY/3mO/TzPz3RQ/he4U+NvV10zPP PNM+D/3zzz/2ODEA/rC//e8vv/yyPbZGj4XTbarY2Nh8O7r9UbVqVXsOwTPP PGPXc6HHGdHvgL9oP2t3aJv369dPmjRpYtujefPmcv3118u7775r14Pa44ey /33lypX2+MyvvvrKdkqHDh3sMTv169e3rwtMmjTJXj9Dt49C97/r99djOatV q2bXM3m9rsur0e1pvf2VK1e2+2p1ebH/PTrlPNdOj0keOXKkbfTixYuH7YSK FSva80P0mJT169dn28/Hcydyg65P9BxIXTd7/a7r8Zy/rwWypoDp9wJymfl8 jmnkLabfd5le3m5mm/l8W/DzwJ8Df7fdNr5OMdPvsdLfdHVN7+sV2Dv2exUI TAHb7wWkpZkHzOcrTZun29cAYoKvE+w724OvEWi/LzUz3nyfU81/H2umQMjX Dtft3vOXfd3APF719Qx9XWP16tX0O+Aj4fpdt0O/++47ue++++Tss8+226G6 XVWlSpVso3/n2ujt0lb3Rv+sxxjpdrpuo3z66adZ+9FyLj8A/qDH/Oq1LPQx fdJJJ9ntGN2m0/OEtEN0/+///vc/u82nx7gfqN/1WCVtc92/M336dOnYsaOU Ll3adml8fLx9XUD3w3/88cd23aq8a37ped733nuv3Qeix467ul7d37o29LlE XyvWY77uuOMOe660vr6B6BP63KfHkOi16fQYXH2+1MdQzibyjl/Tc26TkpKy XduA503kFn3dSNflV155pV3f6Ppbz+/Y3xQyUyWmsFxeJEbmxhaVrbHxsrtI vOwws81OXMjE2/8/1UxabILsLFJcPomJl4ExsVI7JkYKx+T4+ubPMYVjzBQx f46Rkubv2pi/e8g8flYWKSrpRYqZrxEn27N9j+DExtnj9vVY/d3m+y01c0+R WGkeU0iKFS5kv97e2c9tK1TIPlZ12/bqq6+2j2E9V4xr2AH+Ee74ee/YTj2H U59ve/XqZc/RvPzyy+0xod7on12b0Nvn3UZdv+k25VtvvWXPfQ99jZJ+B/zH e43y5ptvtn2t50FqZ+h2jXZI37597XHweny9Hhvco0cPuw8xZ7/rvhztd71m un49fT2gQYMGdhtJ20W/rra8rj8XLFiQrVv0GB5dz+r7bek+e22gvF7/5cW6 Vj/X5aPr2REjRthtST3GSa/vh+jjPd/p/fPLL7/I/fffb1930de+9Pc+tN+9 x4rXCtpO+l4D+rqYdz0IICftSF1X6vpRu1s/bt26Nds1RA6XrvP1NVs9hlKv R6zHl+oxIXrNxZzTLTjXXNBN7rnwQvn8oktk+8WXSfrFl8pOM2k6FwXn/9k7 D/imyq+PvzJKSym0pVBmy96yZO/KUKYMQUGmKFMFAVFQ9lRBEGQjICDgX9lL NsjeGwplFFqge9Ds5Ob33vMkN01DCwWsbdPz5XNImtzc5LY3z31+z1ni567Q kHXpCn2XbtB37oYb8nMLO3ZGf/n1tK/3Osj77GDZ73sdre/VwfJcV9lGyY9t 6tQJT+T3Msqv1XfuIr9XF3nfyZuui7yd/J6POnXDXx07YYT8WTvL1uG9jmK/ wpI5NnF88nFT3NeQIUOE752+x0pvJf5OMkzmIDn9qVybyZ9EPiOqwUT945R+ alnJ6LipfxzNsSnH1bFfJmt3hsl8kO+bfObz589H06ZN4eXlZdMdpLdJl8+e PRsnTpwQPYZIWyan3+m1FD9/9uxZMU6QDiX9r2gX8r9XrVpV9NBScn8dPweN s4cPHxavT+/xLr2M4qrp+GmNg3qI2+dIMxkP0lExMTHYsWMHevXqJbS5smaV XF0DJVaXvgujR4/GqVOnhJ7ivzHjCGl36tlx/fp10d+MekqSL+nKlSvinHPs QZhaaN5GGpXGW6q3TrGUR44cEXPc5OyIbCdku3b0KCKOHofh6AkYjx2H8fgx +fYYTEdlk39OYsdPQJLNJO87Tt4mSN7mjPx6sc8jFqP9HjlquVXeh+ysvF2w /D5q2WjfxmNHLe/zHJPk99TInyvkn6O48A8dyxF5X/R+iiV/bGQU40SxMOST Yu3OMM4DfY/Jz0xrnjRmUmxNVjXKg6WYeVrT4PGNYTI/NFehOeJRec40atQo 0WdD0R4U904anHSJoi179+4tahY76veAgACxBkD168ePH48qVaoIza5oFtL8 5FenuE37vhUK9uMsjTPpPdZlhHGW1jR4nM3YKD1mqTZjw4YNRR2sF9UmpFgU 6ifXsWNHsVZDtSX478zYQ+cDjQGkr6kHBY3N1Hvwyy+/xIIFC56pA/qyGl6p PUJjDGlWWkNKyRKst1rZDCpZ36o0ssm3ahXMlAclTJ3UqG+J1Uzy83rZ1Mo+ E6xm3XdCMu+lU9Hr6L1UwszPMcvzamEG+b5GlSDvJyHJfp9ndPz0e0jumsQw DMMwDJMRofU4qju3cOFC0QuY9LhSb4tqdpIPnmqAULwl5a9TzqS9HqF6a1Qf hPoJ//LLLyI2mPS6EkNM6wDlypUTMeEUW08anWEyO+T/pPwGWrMaMGCA6H1I 5/qL9LtSi57y4CdNmiRiVhS/H8MoNUHI707jKeXVUC8K6klINUlo3WfOnDnC D5+c7kzteyi5S4q/+XkmmSWYrCa2F69RzGx3/3mWzL6lRJNM9HnMMFk/k+2z SSbL+0lJt0/cT9L3kcz2r33BcaXi+BmGYRiGYTIKytyE/DAUW7R371588skn ok4n+QhJw5MGJ+1NtT8o3pfmjuQ7tNcjpFmo9xvVq6d8Srqv1N+m50nLU64h 9aej2r4052SYzA5pbvKDUm0cOuepx2xKcfOOMfSk4aleIfVkoNw0iknhOgcM QeMxxeBQvRHKQ6K6JFT3kNZSySgmivK2KXaDtnvZHgaKbn0ZjUorBEbI2hoW fSy0svWfLJHF8/RIcqb8S/kDWd5A3qXYF1WOM1nXDBLN+j72Zv1c4rkk72R3 XC84tBetW7B+ZxiGYRgmI2FfP5vmgJRvTTnsVAOe5otK7a38+fMLXyH52JXe WI7xwKVLlxYx9HXr1hU94JS+RKT/KZae6tKR753zuRlngda8du3aJfJCKKdE qTmfGv1ORvkl9L2aMWOG8LXSegDD0PqmkpNB60Kk2e3XhSh2g8ZhiokKDAwU PUSI1GrO5PT7C18Dqz5PxvcuKZaCbjenoOHF+4rbRKP9kHY3Wm9t+zYn3S6p WX3p9u9r1f3PXTfAs/r9ZX6PDMMwDMMw6YH9XIVyr0mP9O3bN0kPLIqnJw1P upx874o2t+9rTXm/9BrqLUe6hB4j7U6PUx856idH9ZI4RpjJ7Ci1Gqiv4o8/ /ig0Fn1H6JxPjX63X/ci3yr1dPjzzz9FLD73rcra0PiojMOffvqpWBdVeoIo az/0M/XYpLokVFP0yZMnL3XevKo+tfjaHf3TSsz683W7vYJXDMr9JHH6Zpu/ /VltnYxZRbxlLeBZ//sLPP/J/i5YuzMMwzAMk1FxnB+R/4/655AmoX7uVIte 8aFTjDxpFNLupFPs9bsyp6TnaTvledLx5HsfMWKEqPOr1FtimMyI8j0h7U69 vDZv3owPP/xQrGulJm4+pVr09B2h+mQnT55MsR88a4qsAdVTo5p1U6ZMQe3a tZPkZNiPt9SjsFq1avj6669FD4OXqSny6vrdKpeT7MMS+G7Lb09BrSen3ZP7 PMp6gAimt3eyJ6fdHTW8/fuKfb0wfJ71O8MwDMMwmYrkavlQTDD1iBw2bBgq Vqxoq2XnaI6xwI7Pkc4nHxHVstuwYYPwvbNvkclsJJcPS+tQpJm+++470QeO 4pmV70JyGv15+p3WvUijUW7KsmXLEBwcnKyWYE2RNaBxkvqQt2nTBt7e3rY6 JI4aXoltor6dVOOOcp+I550raXcOJafKM8K+GIZhGIZhnIvk5nqUBx8eHi7i ealWHcXDK/705+XyOj5PveObNWsmesopfcwZJrNhv7al3Kd+b9RPkWrPUQ06 5ftBsSd03lPcCuUsK33g7WNUqK4EPU+3yuvo8fLly2PkyJGiFr19jgnX08oa 0N+V6hdSjZBvvvkGlStXfmbt1HHspfOrTJkyYq31xIkTL+yBxucPwzAMwzBM 5ialersUH0w6gnoNk65Q8t1Tq99Jl5DvnWrWUx4nxXba1wZimMyE/XeDaoVd vnxZ1GOk2nMUx6zkslOfBYp5phqOVAuC9Jd9vXnatmzZsiJfnno6kMZXNDyt k1FN8T/++EPkP9N30PG97X9mnAPlb0nrprQuRPnsH3zwgVgXUvpvpqTflfOG enusXbtW9PZw7GHA5w7DMAzDMIzzkJJ+J7t//z4WL16MVq1aCZ+ifQ2llPS7 fc946ldMOZyUy2k/p+T5I5PZsD9nKb75t99+Q/v27UVNR6XGI9V6qF69OoYP Hy7qPZCOp/hm5XtC25Gmb9euHb766it07txZ6H3l9eS7p7UyWjM7cuQI4uLi bO/NGsz5cPybUu0RyskYM2aM6PNO50NyuUmOOp7OH1oLovPu8OHD4rxJbq2U zxmGYRiGYRjnwlEnKL2tqec76QrSJ6npiUU6n3xHVFN79+7dYj5pH3vMMJkN ez1E9R3HjRsn8t7tNRb5QUnTUy7yDz/8gEaNGol1L3udRbXmqd4dbUN1x6j+ mNKLUdkH6Xvq1UD94JPT7Pw9cg7s/44Ua0F/b4q9oH7vhQoVem5tEUejniB0 3qxYsULUT1DWS/k8YRiGYRiGyTqQ5qZ+VlRTi3zwNEdMKYbT3sj3Tn7I8ePH 48qVKyIulHN3mcwMnbd0HkdHR2P79u1ibYp86co5T9q8UqVKwne+adMm0be7 QYMGSfzvtK5Fuoz0O8U6U40yipMmTa/ESZOWJ01P+c9nzpxJUoue80+cF8ov onylyZMnPxO38SL9To9RLQVaT6K11mPHjiE2NpbHW4ZhGIZhGCclpTkePU61 6A8ePChiM5Va9I41tR3rc5FGobpev//+u63fO+t3JrNDfb0ovnns2LFJas4r dcBbt26NlStXipgVWvOqX7++zbeubEdrYKTZd+zYIfT5999/L/QarXkpGp98 9s2bNxe5K5TDQvD3x3mh8ZHGSRovKaeCYjAc896fp+GVnCXqYUDrrMuXLxfn jeO4y+cPwzCMQxdLZx0SzQ73zUnvKl09bZukotcmwzAZh+flvyv1kKkm0po1 a0Q/I8r3fV5cJ+mVWrVqYerUqbh69arQPI7vxTCZEfJpku7u1auX8Jkr5zzp +FKlSmHIkCEib516LZCGohp1jvqdvj/dunXDnj178PDhQ+Grp7Uu0mz2a2DU D37ChAkiVp9g/eWcKGMs1UOkvzfFLdn3Inxer05HPzydN7TGSnkZ5MtXatHz ecMwDGPRq8/8M1u16wvmwpnJ7A7Keox2Jv+TrKb8g3VziTU8w2RaHMcBmv9R ve3jx4/jiy++QOnSpZ+r38n3TvqEes9RDzqKOXbcN8NkFuzPWer5vm/fPgwa NEh8D0gvkSb39fUVfk/KaQ8MDBS6fOnSpaIGfXL6nfKbSb9TjXnSWeTPJ91G PnjaJ9WZqFOnDmbOnCn2l9xnYZwDk8kkxsnNmzeje/fuom6IUic0Nfrd/mc6 v6geYqdOnbBhwwaRT0959XzeMAyT1UlO50rCnEu7J5pl7VZoddvPknxfsh63 Tb1b9TvN95XHGYbJjDiOA6TBg4KCsGDBArz99ttCkzj2tVby3qmfFvXVIl1C ubuOvYgZJrOQZD1bhtaxyB8+e/ZsNGnSBN7e3iJmmeJNSINT3nFkZKSIV6HY 9xfpd1oPoG2pZhlpNz8/P7FPf39/8fP//vc/ocEY54V85BcvXrT1IiTfu30c BtVVsB9r7XU8PU7P03ZKD0LKb6LYDaqfcPLkSRH/pJy/rOMZhsmqiPFPsjfK XUKilrXqW2cxyc5Mtvsm+TnZLAcOm5te/H7k10kmYeDrBMNkauz1C8UOU2+i zz//XPSvVvJ17bUJxRR/9NFHwpfk6HtnmMwOnc/kM9+7dy9GjhyJFi1aICAg AEOHDhXnPGlt0ktU83HRokXCh56cfn///ffx999/i5pltMZF/RXnzJkjHqf1 Mbr96aefhK5T8k9Yezkf9Pekvy/16KBxk8ZPRYeTLqecCnqM6iHQz/YanjQ7 rR3R8+SzJ92uPK/UH6EYKKpf4qjf+TxiGCYrYYkhl4RuNUsWn7vNoMSMm53G lBh55Z/JahKs+t66hqH8Diwx91b9Lut7+98KwzCZE2W+Rzmat2/fxs8//4ym TZuKuaNjD2LqWfzdd9/h3Llzwq/E80TGWVBySeh7QP25du7ciYULF2L+/PnY smWL+G5otVpx3r+Mfqf4ZvLZnzhxQvSUpxh8uqWf6XHu3eC8UDzHzZs3RTwH 1TpUas6TNqc6hw0bNkTbtm1FTjudR/b+d8qxoJ7v9DytI5FmV+LuPTw8bHFQ 9mtADMMwWRGhZxUftHxNNem0MGnUwiR5HDY7oUkO901qOl75vk4v8rZM8nzC ZLbEH1j88db1DbMEjqBnmMyPfR486QmK+yUfPMVokoYnPzzNF4sXLy50CfXF evDgQbJx86w/mMyKvYYmDU/xKGFhYXjy5InwcZJ2V/T9y+h3eg1pdPLD0/eL 9km39LOjdufvj3NBf2vKnaB+BNSLUNHfpM2pFyGNs5MmTULLli3FeWOv3728 vMQ6Kmn0MWPGoEaNGqKHnKL/yXdP2p76wdN4zDAMk1UxW3WqyWSAMT4WhofB MNy5BUPQLZiCgmC6cxeSE5lJsSCyOzDKx2i8HSQf7z0YQp/AmKCCkeYe1th6 odtNVr+8Nf+dZxsMk7mx1w7kW6Q+RzTn7NOnj/DxUB0v8ru3b99e+JGojrLS s9pxPwyTGUntuUvbkT9d0e8p5b/b6/fn6fJk68oyTgGt21BNEeofSOcJrYEq +pzOEaqHOHfuXCxZsgTt2rUTjymx9Yp+J11P5xn1OujQoYOoo6jkxlMePfU4 /Pbbb3HlyhWuQ8IwTJZF6HeDHsaoCBjOnoZu/TroFi+CfuFCGBYthnHxUhiX LIVhsXOYnkw+Ht3iJbItttjCRdAt+RW6Lduhv3kLRvLHSyaYYIlLUGoC2PLh 0/uPxjDMa2GvG2gOSBr+xo0bos819SkaOHAgRowYIeLqjx49iujoaBGbwzBZ kVfR7ynBmt05ob8p1VGgXoS0DkqxSy4uLra8d4qXHzZsGLZt2yZ6wpMfnfS6 ot/JKPaJ4uZXrVoleiLQWFytWjXbfsgHTzH1dK5RHjz5+nlcZhgmM5CaNe2X 2p+s3U2hITBs3wbdt99B82EPaNu0h7Z1O+jayNa2vTDxmJOYRj4etXxs6rbt 5PuytW4r33aA5pMB0C5aDMOlizCpnsJkNlnq27HvnWGcGqWWHdXhPnTokMgD pvnj+fPnRf0uih9O/b7sNUpi3Y2sSkoVSJiMi+M8wl6/pyZ+nvV51oPWQWkN dPr06ahdu7bwlZM2p/OD8t7J307rozTGbtq0CW3atBF63V6/k7+eah2uX79e 9Bhct26dqFlH/eOUWndU04588PY1SRiGYTIyKWn014lHMyckwHTqFPQjRkFT qSrUBQtBk89HmDqft1OaSlh+YWrZNMrjpUpBLV8rdGvXwBj+BCbJKPS7SbLU COA5J8M4L+THoXxf0h9xcXGiD5Zarbb1Gk4NinZP7GkhWatjWmtgkq8oCxkd r2Qyymbp7WH5XZiE8XiacWH9zrwsNH5SzwHKW69QoYItJp70NvnQx40bh9On T4vaCqTfW7duLWrbOep36n1Aup16fdD+aD2AYj6UPHjarmTJksKXf/z4cTFm MwzDZFReRps7bve810hP42H45wg0/T6VtXtRqHPmgur/siHh/7LjqbjNJn52 LssuTC2bRjatuM0Gtac3NM1aQL9oKUzyXEWS59uSrfe7xHMShmFejNJzU7L0 3xQ9LqguJtUEjY+DFBcHcxYwOk5TbAxMcTHiuM1ajYhpMsJaW8TMvTwyKqzf mZeF/O+3bt0S9UIaNWokzhHywVO8e+fOnUXMPPU4oFwke/1uX7+OXtOsWTOx LdVPpHOOtu3Vq5eIx6f9UR28WrVqYerUqaIuycvERjEMw6QnSt1kquNKRnPD 5/nkn4ekVsFw4Ry0346HumotqPN5QZXTBQmyPZW1PN2qnchUwui4XOVbV2jk +1rZNLnkn/38oPmgOwz/+wumiEjxOxb63Wyn33lawjDMc0jsyWnpY2EyGmCi nlmXL8Fw8CCM+/bBuHcfTPv2P2v7ncfoOA1798i3e2A6cgjSzeswxcfAaDKK Hh+itwfrvAxJSvp98eLFrN+ZZKG/OfnMKf+dfONNmjQR5wrFzZPWPnnypNDu pMsV/U7x8ynpd8pnIqMcpp9++gmdOnUS+6P+c4MGDcLGjRsRGhoq5sAMwzAZ GdKTFCtEYyT1ZaW1R4ovun79Oh4+fCiumy/bV9Ws18P0IBj6Df+DdtBQaJoG QFOjJtSyqWrKer7mW9A4k9V4Sz62WrZj08o/66rLj9eqA/V7HaD9fgYMZ07D lJBg0e3kO2P9zjBMKknsTSePHbTGGh4Gw+HD0M2ZC+3IUdDJc1vdF8OgHzb8 GdM5gSUej3yMX3xhsW++hnHpYhjPnIIxOsqy5sz6PcPC+p15FcgXTvHxlJdO On7z5s2ijgjNUUm3U646afLU6nfannKZyK9/8OBBsT+qf0dx+KTdlf6GfL4x DJORobHq3r17ou7mqFGj0L17d3HN7N+/P+bMmSPWN2nMe6meGjT2Ue/zR49h PHsOBnnMNfz1p2x/Qb9xEwwbN8PoRGb4y2ri2DbC+NcmmP7cBOOmLTDsPwDj zRuQ6HdoMNKvRmh3I5RcVr5GMAzzHGiIIFkqQeTfUB1MwxFZuw8bAXXdBlCV KAmVfwmo/Us6WAlhKqc0+fjKloO26dswjJskrjOSfM0xc++nDAvrd+ZVobU5 jfz9prko+dvpfCBdT/NSes5evz8vfp62U/xRdP5R/07aHz1O+1fiTrkPIcMw GRkam2gd8sCBAxg+fLjoUUw1Oem6SbU8qE8xXVvv378vxrqX2a9kjceXtFqY 5LHRFBUlWzRM0TGQnNGiYizHJ5skTP45Wj5u+TojydcZUWdJsvrPqH4d1Vuy 1aJiGIZJAbNFuwv9TrlNMVEwbNgAbcvWUHv7QJWD8nfcoHLJnYy5OZUlkOXK jafi1hWaAoWh79Idxl1/Q4qPZ/2egWH9zrwOSo4naWx7/3hK+l3R8FS/zlG/ P29/ynOs3xmGyajQ+uXdu3exYMEC0R+zQIECohcmXTupLmfZsmXx2WefiV7F pPNfptadEidu0/GiZrCldrCzmv0x0q3JRHXmLfnu9v2fRB1pq36XzFwxmclg UE1zjRrmyEiYQ0NhDskCFmq1kBDLbXg4zCqV+F2kd4ILjR2SZDVFv//vf9C9 2w5qn4Ki5oYql7tsebKEJbjmwVNxvLmhKVgU+m4fwbTbot/FPDxd/1pMSrB+ Z16V5/3tk9PvjvXnk9PvDMMwmZWoqCjs3r1bxMr7+/uLnhzK9ZPGP6XvxsKF C4XOT3W/oyT/Evv02t9zaODrBJY0j92xS3NK/Yp5RsKkJ3bfSNs90u6mO0Ew 7twJ47JfYVy8FKYlZMuEGZdabYkTmXw8BjJZSxiWyz9v2QIpMFD8LpDOPl0a dylmx2i2+IpMqgQYj/4D7bDhUFWsgqdupGlzC1ORuTmau3OZq9WoT2etetCP nwTp3HkRP8/roRkX1u9MWvAq8fMMwzAZnefl8lBcPPneSaOTVqdrpjLm0fhH vvhy5cphxIgROHPmjC1vSNkvwzCZF0W7S2aRXm3J5aA63iEh0MtzIe2XI6Bt /x50bdpbrG0HYdp2VmvrRCaOqT20bdpA26E99IOHwrh2HaQ7dy21PKzxROny d7LG7IhYHjKDHsZ7d6Bb/RvUffpCVa8hVFQrs1ZtqGvXecY0tetCU8dJjI6l Fh1TPWiaNYf28+EwbNkKKSTUWl+E9XtGhfU7kxawfmcYxhlx1O9Kzo9KpRJx 8dSTo0KFCnBxcUky5ik+eIqp79ChA9avX4+wsDBbHjxfSxkmc2MJG0nsJ061 0UTvx5Mnof1mrKiNpi5SHOpCxaApXByaIn7yz85s8rEWKQpN0eLQ1qwF/ZDP YNy+A6bwcEuOZDrFy1hyb6h+hiVPU+Rsxsvz0EsXoV+7FroZ30M3eaow/RRH mwb9VCezydOgo+OaPQf6TZthvHXb0tvDWl+EL00ZE9bvTFrA+p1hGGckOf1O /TOod8b8+fPFuObYb0Pxv5ORrid9/8UXX+DQoUPiOsowTObH5tcV9RjkscGg hxQRAcPa36ENaAGNZ35oXNygcc0LjVs+YWo70ziRiWPKnReq3J5Qycer9vSW NXwNGKZMkvXhTZj0OkuMQjr9ncyi1qWi36mHHK21qMXfS/ieH4YIM2cBM8lm pFtZ+5mio2GiGqm0viL6cabXX4l5EazfmbSA9TvDMM6IY+w83VLPjGPHjom4 eIqPpzh5e+1ur9/JfHx8xLi4cuVK4YPn6yjDZH7Im0xeZZPZqn1k/W6Wv9/G FSuhrddA1rTu0LyRA5rsrtDkcIOaLLsbVNkttxbL7RxmPb6EHHmQQD/ndoe2 Qnnovx0D483rkGT9nl6jnhi/JUu/SZEHT/o9C/uZre30rGYW/Tgt57BRrHGw fs+YsH5n0gLW7wzDOCOO+p2umQ8fPsSqVatEXDz1i3P0vdvrd7pPtejffPNN jBkzBufOnRP6n2GYzI3Q74r/nfS7PK+RaH6zezd0H38MTdWqUBe1xM1rivrL 5idMbb21POY8ppZNVbQk1MVKQlu5CnTvd4FhxXKYQh6Iuu/pph5E/XlL/rvt 72XtR2kR8VnLlOqftv4m4vdhspg5vbIcmBfB+p1JC1i/MwzjjDjGzsfExIg4 +CFDhqBEiRK2mvP2/nZHPU/XUk9PT7Rq1QpLly7FvXv3xPyRYZjMi+hLZq1t Llk1odFghCE4GIa//oJ+9GhoP/gQ2vc/gK6rbN0+dG6jY6Rj/bAH9MO+hGHN GhgDb8KkVll1YXr9nSw+ZqN9DTvq8WeNF7dTs8/+7KQm/O5W/W4WaxmSLbeA ZV7GhPU7kxawfmcYxhmxr1mn1Wpx+fJlzJgxA/Xr1xd+dfs+mc+znDlzomTJ kqLX3K5duxBNeYcmk+09GIbJfCR6NM2Jtew0WkihITCdOQPTnr0w/b1Hvt1j ue/MRsdJtncfTCdOwhQcLHLMqW7cq/R6TK7nR0q9QF60H4uf2f71kuXW9sms ZnZ+n7zyT4mfF79LZS2D+8dlWFi/M2kB63eGYZwRZb5HYxxp7h07dqB79+4o XLiwyHtPzueenH4nnU/jYMOGDTF37lxR/47q4CU3H+XrLMNkDuyVke0BEoo0 x9FqYVapsqZpNDDL+uJl6qE51hlJaWx8FQ2f3B8syd/N8XknJ+l566jxmYwI 63cmLWD9zjCMM6LME/V6Pe7evYuFCxeiQYMGcHV1TTFmPqXHScOXLl0aw4cP xz///IP4+HhLHibrd4ZhsjDJ9flI6fHX1vAMkwlh/c6kBazfGYZxRpTYecp7 37lzJ/r27Qt/f/9n4uZT8rs71rWjPPimTZvi559/xp07d4QP3v69eE7KMExW 5UU+d4bJqrB+Z9IC1u8Mwzgr5Hu/f/++0Nz16tWzjW8p9Xx/nn6nPPjixYtj 8ODBOHr0qBgPFXieyjBMViclH3xK2zJMVoD1O5MWsH5nGMZZiYuLw/Hjx/Hl l1+K+Hel5jzlv1McPRnpckefPF1DaVs3NzfxvJIHT+NjmzZtsHr1agQHB4vx k2NCGYZhUtbvKfnlGSYrwPqdSQtYvzMM44zQ2EZ57/Pnz8fbb78t4t/p2kjj m5eXFypWrCiM+sC7uLgkuX5SfXrqMUe936nenaLh6bZUqVIYOHCg6EVH/eDt 8+D5OsswTFYjpdx20ZdPnjNSHBRpFmWsZJj04/m1/szPbJdC/Mhz9+KwLet3 Jg1g/c4wjLNB1zvS1lRrbujQoShTpozQ6IofnbT5e++9hw4dOggNT3rdPk6+ QIECaNy4Mbp27Ypq1aoJPzy9TqlFHxAQgBUrViAkJOQ/HxOf7RLE13aGYdIf e/1OPTsfP36Mmzdv4tKlS7h27RoePnwo9IjSf5Nh/k3M5qRXQ7Ptv8RHLNdP ydprEA5bJ/aTfLYXYeJmSg+/1Gp41u9MWsD6nWEYZ4OujxTfvnLlSrRv3x4+ Pj7iukj6m7Q69YAfNWoUPvvsM3H9pHFPGfNI5xcpUgRdunTB2LFjhcZ39MFX rlxZPHfq1CmoqOfSv3p9VeYRdj/aPWe2dP5F4uwh9X2eGIZh0gqlX6darRZ9 Njdv3izin2bMmIE5c+aIeeTZs2dFP0+eSzL/JpJiZrt1JMli9KCoZytMEr0R RX9Es51mh2TbxvI6a1ydTfMrzQvt9/XsanpysH5n0gLW7wzDOBMUo0m+d4pv J31eoUIFm++dctrLli0r4t9XrVqFiRMnPqPfSZ8XKlQIvXr1Evp/5syZaN68 uW0b2g/55999910sX75c+OApPvR1saz705zCYjYfgHX+oWh1mmdI1luLmcAa nmGY9MI+Zp60+/Xr14Vub9eunYhfohgnykWi/h3ffPONiIuyr/+Z3H4Y5mWg K6AJVk0trpuSxUxWPW7V2yZz4jYWza4Y9atJ1Pxm8TrFp2/ZO5C4rWWfSNVl l/U7kxawfmcYxpmgvm7ke1+2bBlatWolroVKXToazxo2bIgffvgB+/btw/ff f49atWrBw8PDNuZRbTvS59Rvbvv27di6dSs+/fRToemVsZHi6WlOSj58qo9H dfJeF6HGaW5A6/6SyaLlFd+BlNx8Q1bxZpNVy/P1nWGY/x7HvHfyre/Zs0eM mdSvg9ZDSZPQLdUgoXkm1f+kdU/WJcy/hcX/rvjXrWvfZsVfbo1cM9ubZe07 iX43WzS74sxX4vGVdfLE7RO3S80pzPqdSQtYvzMM40zEx8eLuPYxY8agSpUq yJ07t82vTnHxPXr0wF9//SXiOGfNmoW33nrrGf1O188+ffpg//79YjuK/yQ/ krIv2ob0fOfOncXYSNfi10WZe1D8gCTrd9LmSoxfkjg+23zDZNk+lTF8DMMw /zb22p3ikIKCgrBgwQK0aNFC1Am178FJcVDVq1cXcU/nz58XOfKsTZh/AxGd Jl8PTRYvfDJb0GNGcd20aXbrz8p11LYS7nBKWmLjaDtj4jVXsq4DPLv5s5+N 9TuTBrB+ZxjGmYiIiBB5l6TTfX19Rc47jWU0tlHeO+Vh3r59W9iPP/6IGjVq JLl+kjanfPnevXvj8OHDwk+0a9cu8XOxYsVsMfSUR1+7dm1Mnz5dzFlfG7Ml 547i+wxmMbNIufItzUHIRy9JiX4GVvEMw6Qj5HunsbJnz55i7LXv60FGY7G3 t7fowbl27VqhYeznlNzHg3kdJMkIve4p4mPDEf4kFCGhsj15goi4eKj0Bpgk g3ySGUVcvUXDG+00OZkeBl0CYmMi8Oix/Fr5/HwcHoXop2poDEYYJTutb32N KRXRb6zfmbSA9TvDMM5EZGSkiHunOSTFwSv6neaTdE0kbR8TE4P79++LOPqU 9Du9nvQ77Y/qJ48fP1748+n6StuRL75u3bpiH3fu3Hn9D2625L9b9LsJWoNa nodEIIzmESEPERr6CE/kuURMghpaeRyWlPw+yZozz/qdYZh0gsYjGlNJkzRq 1EiMo8pc0v6WHqdxdOrUqbh8+TI0Gs0L+8UzTGqQTFokxATj1vmD2L1xLVau XIFlv/2OjXuO4lzQY0SqNPL11T5mPjHOje7rVBEIvXUaB3b+iZUrlmPFb2ux YcchnLjxAGEqLfRW3S/Z/PGpy19j/c6kBazfGYZxJuh6d+7cOUybNk3UnatU qRLKly8v4jmnTJki4uGpZjzNNSn//Xn6nWrgkdanvkfkL+revbuow0T7o7h7 yvGksTMsLEy89+tdZ83W+s0G6NVReHT3PI7+/RfW/bYcS5cuwfLlK7Fq3Tbs OnoFtx/HQqUzWvW7Nc6e9TvDMOkAzSNpTD1x4oSoCULjo/08Uqk/oljRokVF PBOtpdLYqcwrHXU8w7wMZpMK0cFnsG/FBHz5QQDq1qiGSlXqo1W3EZi66iDO PIiC2uo3N1vXy201YyUdou6dx55lEzCgYwCqViiP6rWboG3/cZi98QRuRDyF 1qxUqldy51PjfWf9zqQNrN8ZhnEmaEyjHHjymZPmptx10u1UM4n8PXQ9pDzN e/fupajf6fqp6HeqTUc18Ujv79ixA7Nnz8akSZNEfeWDBw/iyZMntvrzr3ad TexNQ/9M+gTEB5/EodWTMKxbc9SvWgHlypVFuQrVULFWe3QdOhtrDlzHw2hN 0jz4f/OXyDAMk0qU8XHJkiWixrxST0TR6/Yx9Er9T+oL8vXXX4s8eOoXwjCv i1nSIyEsEJe2zsWUvgGo7pcfHm754FuuGTp9+Qt+P34HoWoJBiV+3narh0kd isCja/DDkLaoXTI/cuXykF/XEG0//wnLD9xEcKwGBrOSC2+GUpye+8cx6QXr d4ZhnA263pE/iPzmV69eFbqdatLTYwSNY6TfqTfci/Q7rQUQpNHJV3Tjxg1c vHhR9DemfE8aQ1/qs8FsL9mRRL9LOqgib+PyrgX4fmBL1Cvjgzw55TkwfbZs OZHN1RelanfBkOl/4MClx4jXSTBKSh85hmGYtMfeP05x80rNEfKp+/n5CQ2S knanxyinieaaFB+1cOFCkX9kP46y/515FejaalRFIurKbvxv2qdoX8MPBfPk hlvBiqjdeRRm/nkGV8N10BpN1v4t1rrzBhV0YedwfMMEDG5XDSXzuyJX3qIo 37QXhi/YgcN3YxGrNVqu0pZCebbi9KzfmfSC9TvDMM4IzSvpOkk1jsnovsgZ R+r0+0cffZREv9M1lF5HvibaH92+rHYX+3mOfjfpYhAWeACbfhqMno1Lobh3 bnE9z5Y9G7LRfFjW8PmKVEVAj4lYuPUS7kbJx2eU7HfGMAzzr2OvIez1Na1r 3rx5E5MnTxa15cn3TvrcXr87xtIrtehLlCiBAQMG4OjRo6JvvCRJ4Bx45lUR 0lqfAE3oRRz6dSI+CagCf293ZPcohjKN+2D4L7tx7E4sVHr7mvPyfEAbi7jA Pdgx5xO8X88fBd1zwKNQRTT8cAzmbjuHW3EGaIxmuzex70uXis/F+p1JA1i/ MwyT1XiRfqcayY76/V/DbL2em+0fssTjaWMf4ubhlfjps9ZoXMoL3u65kcvd A+4e7sidMwdyyGNzzjzFUKFhH3w1bzeOB8XhqZbHZIZh0g5HTW2vJ2heSHlE /fv3R+HChYUud8x3d/S/K7XoqR881aLfsGGDLQ+e9TvzSii93iU9jAmPcPPg aswa1AZ1SxWEq0teFKrQFJ1G/oJ1x4MQptbBYJasGWtGaOJCEHhwOeZ89i4a lCmIPLnk7Su3RPdxK7H9wkPEGuStbMvsievvqV01Z/3OpAWs3xmGyWqkm363 Xf8T681ZfjTBbIhH+M1D2Db3c/QJKI/i+fPBs1BpVGrcAs1bt0S9Sv7w9XBF thweKFCqId4ZNBuL91zH/Ri1yMtjGIZJa+y1Nc0fyfdOPTioNyf11LSPnU/O 7HU8af3KlStj9OjRovadUouetTvz0ih16KgejDEBEYGHsGnWYHSuUwreuXLC s3B51O46CjP+PIEbUWpoJMs12GxSI/7xJRxaPR6ft6uGsr7ecHErirJN+2Lk soM4GxwPk32LVtbvTAaB9TvDMFmNdNfvImrPOn8wUwl5Awxx93Fz3zLM6t8c DUrkQ24PHxSo1Aydho/D+BkTMLhzE7xZzAvZ3sgBN++SKNtyIL5c9DfOBEdD ZeTrO8Mw/w2Kdqexcc+ePejVq5eoKe+Y9/48/a48Tz0+27VrJ+qLUi1Q0jas 35mXxtqLBdZ6dKqwazi+YRqGtqmJUnlzIq93EZRq1AND5mzBoaAYRGsp980M SRuNsOt7sH7ax+hcuxgKeXshV/7KqP3+N/hx+2XcitJZ09wSc97Fj7CuZaXi o7F+Z9IC1u8Mw2Q1MoJ+Nyt9Y2kurFch/sEZHPp1LIY0r4Qy+VxkjV4CZQL6 4KuFf2Djjj8wd3QPvF2lKFyzvQEXdx/4vPkuuo5Zhq3nHyBcZeTsd4Zh0hR7 XU31P6ju3KJFixAQEIB8+fI9V6enVM+Oxl7qxTlx4kRRi571CvMqKL1YFDOq nuDO8Q2Y/3k7BJTOB08PT3j71cY7n87Akn03cC9aLV+BTVBF3MHFrfMxvkdT VPfNC2+vIihUsxO6T1iNHZdCEKmx6HyztVNcEktlAjzrdyYtYP3OMExWI/30 u9lW99ai4OkxPfRPQxB0dA0WjOiIZhWKwCOXBwqUa4J2w37G70euIuj2ORz4 bQKGtq2Gkvmyw83VDa4+ZVCj3RCMX3UQ5x7GQAuk2ENO6U6Xqo+o/J9kbpK6 SEGz2XGGwzCMM+BYcz4qKgq7du0S9efKlCmDnDlzJltrPiXdrhi9jvLmO3bs iFWrVok+Ia9SF5TJ2oiu7LJuNyn9VCmG/vY/2D5rAHo18INvHnfk9iiGN98Z gDHyNfN8SDR0Zg0i75/CzgUj0bNxBfjK19V8BcuiSqeR+HbtcVx5FAedZImV S06/p/Yyx/qdSQtYvzMMk9VIf/0uzzOs+t0szzMSHl/AP2smYHj7aihT2As5 8hS35N8t+Run7kVDHUv6fjXmff4umpX2gKebC7K7eMC3UnN0+XoJNp69jwi9 tcaO5Y2SmOWf0utWfm+jAXq9DlqdDjq9HnqjSeT4KTMVyZZLaLZ9ZmX+Ts+Z TEbb67Xy6w3y79NkXzvatjrB8w6Gyew45qRT/w3qnzlnzhw0adIEXl5eNp1O delIgzjmwSvja3LP586dG1WqVMFXX32FkydPij6frFmYl0Hod9B1TP5fXKf0 iH9yFaf/mIyv36+F8gU8kMfdE8Vrv4e+M/7A3ushiNNF4cHV7Vg5oTtavlkE uXPlgXfJ2mjx2RwsPnwHD2M1Yq+Kfn/lz8b6nUkDWL8zDJPVSB/9rsyBLf53 MceQHzOowvHo8g78PrkvOtYohsL5veHuVxeN+07Fgr+v4G6MDiZ9HCKDDmHH 3CHo16w0inu5IUf2nMhdqCLqdB2NHzedxrUILTRGyabWbXpd+SfiCo0w6hIQ GxmCe0E3cfXKFVy9fhOBwY/xOEYFtcEEo3V9gbYXuYRKXKKs+yWTHtqEGISH 3sOtwGu4fO0art++i5DwaDzVGmA02W0PS9whwzCZG8ea8OR7379/P4YOHSp8 766urjZfOsXRFyxYUGh6+tlew5N2p7GWct5pjKXX0eM05vr6+qJz586iFn1o aCjPNZmXwqLfrT3dRR68EfqnTxB6fjNWT+iJdlULwzdfHuQpXgcB/b7Hin1X ERwahMs7F2DKRw1Qo0huuHoUgl+drhg8dzMO3o1FjMaYmPf+Op+N9TuTBrB+ Zxgmq5Fe+l2y+q8lRRdLesSFXMOxNTMxslN9VPD1hleBUqjQYoDoVfvPrXDE G0hL66CNvougQ8swb3hb1C/nA49c2ZHd1RvFqr6DD8cuwx+n7uFxgl7W34p2 T+xxa7b50w1IiAzC+X2/Yc6EYfj4ow/Rp/8QfD5hEX7dcR6BT+JlDa9ocMn2 WcXnlbW78ams+89uw7q532LEoN7o2ecTfP7ND1ix/RSuP1GLvrq2+vo852AY p0HE3kiSrd87+d6VvHfSHDR2+vj4oEGDBkJ7kF+e+sM51psnPzvFytNrixcv btP4uXLlQtWqVTFmzBgcP34cCQkJ4v0YJjUocWN0zgj9TuvN+gQkPLqAw7+N w5B3K6FkgbzI7lEaVVt9julrDuPshZPYv+xbDGpaHiXdc8C9QDlU6zAKM/88 jVsxemgMSgza63021u9MWsD6nWGYrEZ6xc9Ldhpe+Kj1sQi9tAerv+uL9lX9 4OXhBc8SddBiwI9YtOc27kVqhD+c9LhJG4On9w5g58LP0bVRafjmzYn/eyMn PApVQK0uIzFl/TFcDVNBbbK+U7L63YinT67h2B/TMaxLPVQuIuv/4mVRpn53 9J+0DvuuhCJaY7TV5knU7/J9gwbq0PM4/vtkDO9YH9X8C6JQsfKo2eJjjFu+ F2dC1XiqkyxzHclsMZ52MIxToNScj4uLw4EDB0Tee8mSJW36m3zr5Ivv06cP xo8fjx49egg/vH2uO/nbmzZtiq+//hqDBw9GrVq1ROy84p8nHzxp+7Vr1+Lx 48dirYBhUgNdJU1J9DutOeugj3+AK3uWYEq/ZvI1ywc5chVE6VrvY+jM1fhz 83r8OrEf2r/pDx+X3PAp3RCth87D2n+CEK6VYFAax7F+ZzIgrN8ZhslqpJd+ N9v74E1aaKNu4+L2BZjYIwA1i+RDHq/CKFanI/pO+wM7L0chUtSVt/rTjSoY Y67j3LZZGPVhA1Qqmhc5sr2BXHl94Vf/fXwycwP2XA9HlMaU6H+Hna/f2htX G3MPV/9eiCl9mqBWETd4enjBvXAdvN1nKn7ddx3BMVpLxp8t791iBnUMnlze jQ1TP8Z71f1RwNUFeQrK+r3tMMzYcBw3onUi/t7Sv0di/c4wTgTpIsp7v3v3 LpYtW4bmzZuL+SLpdjLS4eR7nzBhAn755Rf069dP6HFH/U6vo3H3xx9/RJcu XUQsveK/p31Ur15d1KK/cOGCGHtZuzCpwWzzv8v3JCXXwwSjLh6PLu3B75M+ Rlv5uuXl4o6C/rUQ8MEX+HLUUAzuWg+VixeEq3txlGvSF18t3oNT92KgM5nF vsS6d4qVYVP52Vi/M2kA63eGYbIa6RU/r+TAQ8wrohBycQfWTuyL92qWQkG3 3PAu+iYa9RiLOZtO41akBhqhh60mGWDWx+Hx1X1YP/1TdKxbCvndssHFNQ88 ilVH017jMG/bRQRFJMBS3d6URH8rfnSTPhZPAg9g06yB6NmwBIp45kXO3EVQ rlk/jFh6ECeDY6EV7nPJ+t6kxXXQRN/BxZ3zMZn8GH4+yJXTE4WqtMIH3/6K reeCEas3wihvZzZrRe0g82vW/GEYJmNAYxaNmREREdixYwc+/fRTlCpVyqa7 KS6eYuE//vhjMZdcv349evfunax+p7j5BQsWYN++fZg+fTqqVasGd3d3m3Yh n32HDh2wYsUKMUbznJNJFWaLbqd1JklKrNUgGXWIf3ARh1aMx8CWb6JkPld4 5vdD6eoBePvtRmhSsyh8fbyQq2A11PvgO8zbcQl3o7XW67S9fuf6dUzGgvU7 wzBZjfTU72JOQL732Nu4sH0uJvRohOrFvJHLxRPFZD3c89sV2Hb2AWK0RhEP CGvdOUsNOSPUYYE4/eePGNGlPsoVcIOrSy7kzFMY5Zp+hGHztuP47XCoTdYa dErfG6qXJ6rzWuryPg2/Ie9jBsZ0q4MKBT3hmsND1uJt8MH4Ddhx+THiJLPt vYU/3fAU8Q9PY/+vX2Hgu+XhXzAfsufxR4Xmn2DsqkO4EBIPI31GUN3oePmd 1NZ343kHw2R2SD9Qv/egoCD8/PPPaNSokS23neaLHh4eqFu3rhhPT58+jS1b tojx0zF+nnLcKX5+6dKluHLlCv7880+0b98+yXbkg69UqZKoRX/u3Dnh82eY F2JOmvNl6YNiFtdMfcx9XP17Gab1b4G6/l7wzOMFb9+SKFmiGEoUyoO8nvnh U7El3huxCH+cuoswtVHZobUGLOt3JuPB+p1hmKxGuvWPg2U936iJQsSt/dgy 9zP0bFQWfvllDZ2/LKq3HoyJKw7iQnAcdEbJqr8pj90ojOYSRlU47p78Cwu+ 6oYWlX3hldsFOVzyoED5xujwxRysOXwTIfF66CVFvyv96hT9boImPhR3j63B wpGd0bRcYXhS31u/OmjefxZWHJRfL89fDJRDaK1hb1SH4fHlrVg3+SN0qumL Qt6ecCvyFhr3moxFe67ifiz526lWb4K8fZx8PyX9zvMQhslskH7QaDS4du2a iG0nfe3m5mYbL4sVKyby3Tdu3Chq223dujXZ/HfS71TXbsmSJWK7EydOYOTI kahYsaItj558+UWLFhW+/GPHjkGtVqf34TOZhMReK0ofU1hzz57iyc0j2PjD UPSoVwaF3d3gmtMVrvL5SOvfebz8UbXVp/h66d84FRwJlcnaM86cuA7O+p3J aLB+Zxgmq5Eu+t3Wh8aAp+G3cGbTTxj3UVNUK+INT48CKFy9HT78biW2n7uP KI3Rmn9u1y9eqUdn0iI25CKOrvkOX3asitI+ueGSPQdy5i2K8k16YNi8bTh0 OwpP9UbL3IXq8Eoma18dS4yhSRcP1aNTOLx6HAa8Uw3++fPAJa8fKr/dH2N/ PYAzIQlQ6xX9boAqMhCXts/CxJ4NUd3XHV75fFCkVmf0nLIBf197jFg9HRf5 6nWyaeX31SmrBUn6yCsd5i2/j3/n18owTNpDfnDS3NOmTUsS8063tWvXxqxZ s3D79m2EhIRg8+bN6N69e7L6vXHjxli0aJHw5VONunXr1om5J/nzKY+etvH3 9xf17U6dOiXWDRjm1aELjRGqiNu4tPVnTOrdDDWKeyKvW075Wp8Tudzzo0il ALw/cj7WHL2D4FiNvLWU2H+V9TuTQWH9zjBMViPd/O8Ux66NRPCF7Vg5vjc6 1CwOX08vFCjxFt7uNxFzt11AYFgCDDbtDjsNb51LyKZPsPS1XTupN9rX8ENB dxe8kd0V+fyqo2HP7/DDxlO4HvYUaqM1B16yxhMK/Q7Rt86sfYyg4+sx97MO aFimINxzeaBIuUboNOxnrD58CyFxWuGDl3QxeHR5D/6Y0g/davvB18MDXsXf RAP5fb7fdA7Xn8RDR/sV+fYGqxnFmkNi/XuI94Zk9WtwZD3DZCpozAwPD8ee PXvw7bffitpzVIuua9eumDJliq3nG21D+v3DDz8UtelS0u80/tKaAPn0qd4d 5cu3atUK7dq1w+effy5y6IODg3nOyfwLmGFMCEfYpW1YN3MgPmheHW9WKAl/ /xIoU6UOGnf9AhNWHcCpByrE6ky2K5StfsxrXq1YvzNpAet3hmGyGulWf57y 1yNu4szm2fimW31U9c0NL58iKNv4A3w25y8cuh2JaK0pUbdDcVtb4u4V/W42 qKEJD8TZP3/Ct+/XQ5VCHsjxf28gZx5fFK7RAT0nr8b2K48RoTYkxhIq9XzM Fq1NfvLI28ew5cch6FanJArkygHPgqVQvc0QjFtxABcfPUWC3gB9HOUOLsHU Hs1Qu1AeuOcrgEJvtcVHU1Zj66XHCEvQ29XLs8vVt76XmP3YXO/W42ANzzCZ Cvo+k+6IjIwUeel//PGHyGOnHPaLFy8iOjpazCfp+dTo9/v374t9kj4JDAwU dfGoZh31jjty5Ijw45PvnbUL829g1idA9egyTm5fgh/GDcXAT3qJa3y/AcPx zY8rsPFEIIITTNBKyqXKFo3/2tcp1u9MWsD6nWGYrEZ61a+j2PfIO8exbd4X +LB+WRSSNbN3kfKo/+HXmLX5NG7HaOT5Q2Kd+iTa176enKyRTbooPDj9F5aP 7ITmZX2Rh679OfIgT9GaCBgwE4sP3cb9GK2tl7vNjw+lHo8E1eNrOLZ2HAa3 rgR/jzfg4eULv7rv45Pv/8L+W7GIUumgCruMo+smY3DLaiiVJyfcffxRtvUA jF51EKcfaRCvT8zTT9TlSu4hEtcgzNZjgKWevmVbhmEyOknW/yR53FCpEBYW hocPH4pbylGXJEteTFRUVKr0O/nWCXod1cYj/R8aGoonT56IMZfGaNYtzL+D WcScGVSReHzvKs6eOIh9e3dj585d2LPvEI6du447T2Lw1CDBKEl2NfBev/a8 eHfW70wawPqdYZisxn+r36163KiFJvouLu5ajCkft0CdEgXg7uoN/+pt0GfS amy7ECry3k1Wwav0fbcGvFv2ITSy1c9t0iDuwVkcWjEWQ955E2Xy5UCuHC5w yVsU5QL64It5O/FPYAQSDGa7XHpLFTslItCQ8Bi3j/+OeV++h+YVfFDAMz+8 SzTEO4Nm49eDt3HvSSTCrvyNP6b1Q7vqJeCV0xU+fjXQ8pPpWLbvGh48NUAr Jep3k0k+RlWcPBeXXxcRgbDwCITL8/tI+X6sPA/RyPMWkzWGwHJMDMNkdJ6J 4ZG/8zSGkg6hW0W7Ey+r35X9K/tU9seahfn3sFw7TZIBer0WanUCEhKeCm1M OR9qjRZ6o8l6nVTiyKz63UyaxwTOf2cyGqzfGYbJavx3+j3RC23UxCDi5n5s mj0EH9QriWKe7nD1LocabYdh+rrjuPJYDS3VnLfFzitr/yZhoo68UkVe5LTL 8+enIbh1dDXmfvYumpbJh7y5siO7Sx54lpI1+IBZWHngFh7G07xF6V1nsmp4 q3/cpEbU/dPYu2g0BreshJL5vZEnX1lUb/MFJq09jAu3biNw3yrM/aS5WG+g nu9+Vd5F/wlrsOdSKJ4aTNbVAPlTGTVIiH6AoKuncOTgbuzYuQNbt+3Atq3b sFuehxw9fwm3Hss6XqeHkWrbiwN9/b8lwzBpj6OGT86IV9Hvz3sPhnl9lLVr CUmz2ZV6LFYfu6gRk5gDJllj3Vi/MxkR1u8Mw2Q1/hv9bh9BLkET8xCBB3/F T0Nbo66/N/K5uQud/e4g6vl2C48SjLKuTfS7m21+d5MtNp20uwmJvgHJGI8n tw7hr1kD0L1hCRT2cEHO7LJ5lkbVd4Zi4qpjuBiihs6Y+DmUWnhW1Q1V5F1c 3ToX03o1RrXC3vDI7YvSDSgffwMOnD6JoxtmY0yHt1CpkBdyuPuhfJN++GbR Xpy7Fwe98L0bRWyiNi4Ud8/vxp/LZuC7r4Zi4KBB6P/JQHzS/xMM/WI4JsxZ gg2Hz+FGWKylNj7rd4bJNKSkq9NKv7MPnvn3sF77nslmNzv0RzHbeq4m3uP6 dUzGhPU7wzBZjTTT70rsuy32zjIvkHRxeHLjIDbOHoKeTcqIfu9585dD9dZD 8e3SfTh9JxIqo6VWu92OYK//7ecWNuFLvd2ignB131LM+rwdGpcvIPrBZ3PJ h0IVA9Bp+C9Yc+Q2QhIMQmsDFu1uEmbZmz4hHE8ubsHvE3uibZUi8PXIiwLl m6DtoAmYt3QBFk7sjw/q+sO/gA+8SzfBu4PIr38dD+P0ln3pVUh4EohLf/+G +WPlbds2R5OmLfBO+/fRpWt3fNitMzp1bIPWHbvioxHTMW/LSVx9FCvqBPG0 hGGci9fR7wrse2f+M5RLrMOPjvZab8H6nUkDWL8zDJPV+K/0u5Jzrou5hyt7 FmFS3wDUKuYOL8+CKFyxDbp9tQx/nrqPR/E6UZr95aFe7nGIuX8Ke5aPxYDW VVCqQG5kfyM7cvuUwpvvDMKY5ftxOiQe8XqrD99ev1NLN/1TqB+dweFVYzGw eUWU9PGAm28FVAnohv4D+mFA14aoV8YLvgWKoXTDXhg8ayuO3ApDgsmynqBX ReLRxd1YP30QOjesAv8SlVGp0fvo9fl3GD91Jn6Y/h2+HtYLndu1QMv3B2DE /G3457b8egmveMwMw2RU/g39zjDOBOt3Ji1g/c4wTFYj7fS70uctUbubJQ1i g09h79JR6BtQAUXdsyNffj9UaPYJvpy3HUduP8KTWEsdnVeypzGIDruN0zsW YVK/Zqjp7wXXN/4POd18UKhKa3QfuwIbz4TgyVOdxXtvtjfKgdfCEH8HV3f/ gskUQ+/nDRePQvAtUwsNGtZDk5olUMo3L3wKlcdbHUdj8rrTuP74KehKQHH9 2vhHuP3P75jzRSfUKVca+fzqo+6H4zDzt7+x7/g5XDx7GPu3LsWcyV9ixDcT 8ePvB3E2OApqDp9nGKeD9TvDJIX1O5MWsH5nGCarkVb6XWTX2fLLqcacDmZN CIKOrcacz9qgYVkfuMn7z+NZHOXrdsJHw6bghyXL8Otvv2G1bL+9oq1asRRz ZX08oEMdVC2aD7mzUS85V3gULI867w3H5N+O4FJIDLTmxNx6M+WXSqThjTDp Y/Hk+j788f1AdKxdGj653ZEnb355/u0D3/x54OnpjaIVm6HLyIVYd+IBHsXp rL3tZP3+9Anun/ofFo/+AE0qlIaX75uo2Lw/Pp/xKzbsP43LQUG4E3QFl84e w7ETZ3HxdijCn2pgNL9+XiHDMBkL1u8MkxTW70xawPqdYZisRtrpd2svJKt+ lwxPoQk7i39+/w6D3qmMkt6u8viaA7lc86OQXxVUr9cMzVu/izZtWqOtPP62 fiVrizby7btN66NuxeIo6umKXLJ+z/ZGNrjk9kKxaq3x0bcrsO3iA0TqTNa8 fJNVv1ty7iXJAFXYDZz830wMb1sD5fLlgFvO7GIukT17Nrh5FkW5Jh9hxPzt OH4vDrG6xFh8gyYGkYGHsX3eKPQLqIkyhf1RqORbaNyhN76YOh+/bv4b+4+d xOnzNxB4NwwRcVroDEZbjx72wjOM88D6nWGSwvqdSQtYvzMMk9VIS/0uWfU7 xZbr1ZF4dG0nfp/ZHx1q+aNwPjfkcnGDm6sH8np4wzt/ARQoWAAFyeS5boFX soLyawuikHzNL5DPAx65XeGay0V+n1xwc/dE/hJ10LzPJCz8+zKCYrQwkm4W NeNNwv9utubrG+JDcOvgCszu/zYal8gDL/dccHFxgUuu3Mjv9yYadh+LOZvO 4E6UFhqTdX2C8ugNGmgi7uDant8wf2RPdGxYE5XLVUSNuk3RtvunGDJ6PMZP +wE/zFuN37edwvmgSEQn6GCy1pfmmQnDOA+s3xkmKazfmbSA9TvDMFmNNNPv trxyS534+JhwnNz3FyZ/2Q/N69ZEpbLlUK5seZQrJ9+WK4+yZcnKoUyZsrKV sbt9SStbVt5vWVSw3paVrUw5+b6so8tXrofmXYZg8opdOHU3AgkmI0zC923t d6vocH0cwgIPY+v8ERjYsR5qVCmL0mVKo2yFqmjQuic+n/UH/r70CLFao6h/ J/IEyH9P+9MlIO7xXdw4tR+7/liBXxf+jF/m/YyfZ8/ExK8GoXenVgho1gqt PhyJsQt34Z/rjxGnNdnV22cYxhlg/c4wSWH9zqQFrN8ZhslqvEi/0/XzZfV7 kv7I1n8JCfG4euEM1v+2AjOnTcfE8ZMwedJk2SZhkmwT5fsTJ06y2sRXt0kW myzbJKtNVPY/YRpmzVuOjfvO4OajGKhNltrzZiT2u7Xk6uuhph71Z3bhr9/m Yub0SZgwcQImTp2Jucs2YPvJm7gXpYHBlOizpxh4o0GDhJgQ3L91AWdOHsfx k2dw4co13Lh5DVfOHMLWZVMx4oOmqFHaDwVLNkbLj2dh5d4bCIk3iH73DMM4 D6zfGSYprN+ZtID1O8MwWQH7nsKp0e89e/ZMot/tr6GO11N77Q4k6ncaX1Wq BERGROBR6COEhoQiNPQ/Nvk9Hz8JR3RcAtR6I4xm+562SbvcSiY9tKo4REeG yfML6+sfPcaTiGjEqrTQG6XErYX/3gidOgIPb+zF9rWzMGPadHy/eAM2H7mI q7fu4G7QVZzY+StmfvYeGpTzg2f+qqjbcRzmbb2EOzEGGFi/M4xTwfqdYZLC +p1JC1i/MwzjjCTxhzvYq+r31FjWwgB13D1cPbgQs0a8h3cCmiKg86cYOmk+ Fq1cg/W/r8SCmV+hf8f6qOBXCN7F6qJF3x+xan8gQp+a2P/OME5GavX7/fv3 0/ujMsx/Aut3Ji1g/c4wTFbjVfR7SmRd7Q5RB0+reox7F7Zh/dyRGNi9Ld5t 2RLvtu+MDz7qid69e6Drey3RtGEN1KjbCC27j8DEZXtx4lYE4nWW/vMMwzgP pN+3bNnC+p1hrLB+Z9IC1u8MwzgjopacJIkxi0yy1jsnXlW/0+tpzKTX062y v6yr3+n3q0Z81EPcOrcPW36djglDuuGDts3wTqsWaN6qJZq3eFvW8++h9xff Ytbav3HsVhgiVQaYJFE+j2GYTI792Kfo9+7du3P8PMOA9TuTNrB+ZxjGGaGx TaPRIC4uThjdp8eIV42f1+v14ueYmBgkJCSI63BWvraK6ndmk/x71UP7NAyP Ao/jn01L8evcKfjh+2mYNnM6pn8/A3N+WYi12/bj1K1QRKj11rx37h3HMM6A /fol63eGSQrrdyYtYP3OMIwzQWMU6esLFy5g/fr1+Omnn/Djjz+KMez8+fPi OdLhqdXviva/c+cOdu7cifnz5+OHH37AkiVLcODAATx8+BBarTa9DztdsFWv lzW8ZNJCnxCBiOAbuHXlLC5ePIfzF88Lu3ztGoIePEbkUzV0Jmv/OdbvDJPp ccwfIv2+ceNGdOvWLVn93qhRIyxcuJDj55ksA+t3Ji1g/c4wjDOhVqtx48YN /PLLL+jQoQMqV66M8uXLo3379kJ703Okx2n++P3337+wfxzp/bCwMGzbtg0D Bw4U29P+GjZsiFGjRmHfvn1izpoVETX2Qf3ojLKGN8JsMsCo10KnVcu/Y7X4 PQvTyo8Z9DCaKI/BZNH7MIMFPMNkPF7ma5mcft+6dSt69+6N0qVLw9PT02YF CxbEO++8g2XLlrH/nckysH5n0gLW7wzDOBOkt/fv349BgwbBz88PLi4uQpOX KlVK6O+DBw+K2Pfn6Xdvb2+h32lbmo/evn0bc+bMQb169eDq6iq28fLyQsuW LcU1+MGDB+l92OmCZNXvEmTtLut3WZxbk9oTO9TZbw3yu0vkr5d4TsIw/znm xJsU+khaYmrEtxWpUfKO+p3ilWjdc+zYsUKr05hZv359cUux8zQGk3/+8ePH //rRMUxGhPU7kxawfmcYxpmIjIzE9u3bhf728fGxjWfk/2nSpAl+/vlnBAYG 4tatWyKuvmbNmsn633v16iXmoaTNd+/ejX79+on1AGV/7u7uYk46a9Ys3L17 N70PO12gWYWkzPjNVu1uVp5xnHOYbc+bOXqeYf5TzGLNzCSM1s+EiW+uVXtb jbYzWe1ls1xoP5RLRL51GjvXrVuHlStXYtWqVcJWr16NXbt2ifGX1lAZJivA +p1JC1i/MwzjTJD/nWLayc/j7++PnDlzirGM/PAlSpTAp59+KuaQly5dwuzZ s/HWW2/Bw8PjGf1O8Z/kf79y5QrmzZsnfEg0PtI22bJlE/735s2bi1xOjgVl GCbjYrbqdspzMVhurZEzZiRqd6HfJdLuJhipLqVNw6fyXaw9P6i+iEqlEnNG Go/tjfSITqcT2zFMVoD1O5MWsH5nGMaZoHkjafNp06ahdu3aNm1O41q+fPlE TOfSpUtx/Phx4TtPSb/36dMHe/fuxeHDh0WeO60F0LVVWQugn2kbyvUMDw9P 78NmGIZJFpHnYrbWmRT6XS9uTVSLgvJZrGa2GtWoMAn9Tq9TYulfjGMsPcMw rN+ZtIH1O8MwzgRdG0lPk66mmHfKeydNTuMa1T8uV64cBg8ejLVr12Lq1KnC r066XhnzSJsXLlwYffv2xZo1a0St+RYtWti2of1QfnxAQIDIiad6eFQzj2EY JiNC+pu0uKg7IWmh18QgOjwUIcH3Re7P3fvBCA4LR2SCCjqj0arllTj7l/O/ p3Y71iRMVoH1O5MWsH5nGMaZoGsdxWdev35dxMdTzSTyr1PMOxmNcaS9J02a hNGjR6NBgwYiN96+x1Hx4sVF/vyMGTPQo0cPWx085fpasmRJDBgwAHv27BHj Io2jPCdlGCYjIupUUHi8ZIRJF42Ih5dx6sB2/LluDVasWIkVa9Zh/a6DOHb9 PsLitTCYLPqdtjebUx9B7zj+pTQe8ljJZCVYvzNpAet3hmGcDfIfRUREiJ5v 1Me9WLFiIg+exja6PlasWBEff/yx8M9T/LyS167434sUKYJ27dphyJAhol8x 6X96Hb2e6s9TXD7VviPfO60VcNwowzAZFaWapGTUQBN9E5cOr8bPk75E/48+ wHsdO6JTt57oPWwKZq85gPN3ovBUZ6lzJ79AfqEJqe0ol5x+T25s5LGSyUqw fmfSAtbvDMM4G4oP/tq1a0JnU915in8n/zuNb1R7jvrCV6lSBb6+vjbfunL9 pHGP4u6rVasmtLyi/SkOn/LeSfdTDbzo6Gj2vTMMk3Gw6w2XtA+ECTp1GO6e /QsrpnyMzs1qolyJ4mJ8K1q8FEpVbIJ2/SZi4fZzuBWRAKpwJzS80lfiVT5K CtqdYbISrN+ZtID1O8Mwzghd86h3O9Wi/+yzz1C2bFm4ubnZfPB0n0zR5sqY p9SXpzh6++fpNZT3/u6774rrLvWfozrL7HtnGCa9McPe1620alTEvBkmXTwi go5jx+Kv8WnraihX2Au5XXMhl4sLXHK6wiWXD/yqtkbP75Zj8+m7CFcbYZDI 9y4htf73ZD8Xj41MFof1O5MWsH5nGMZZIX398OFDLFu2DC1btkzSD55un2fK NspYSFqe4u6/+uornDp1CnFxcc/Eh/J1lmGY/x6zpR8c9XeXzBYzmxP7t5sl aKPu4/ruxZj2SUvUKuEFrzxucMvjLs/xciN3jhzI8UYOuHqVRrV3hmLCysM4 F6KCSq/EzvO4xjCvCut3Ji1g/c4wjLNC1734+HgcOHAAgwYNEnXnHH3t9LMS V+/4nL3RNZV878uXLxdrAnQNVt6D9TvDMOmH2VJnjmrO0a0ws6gdL2rOQ4vY 4DM4sHg0PmleCUW9ciOPd34UKlMWZcqWRvF8HnDPLo+BOb1RpHIbfDTpd2y5 FIYotYGVO8O8JqzfmbSA9TvDMM6KkgcfGBiIX375RdSdV/Lg7fW7o8/d8Weq WUf58iNGjBD94Mn3TjXy7N+H9TvDMOlFom5PzFsXGt6khy7+IQKPrMH8L97D 2+ULwtPTB74V66Flj4/Rv39PtKtTAf5ebvK46Ip8RauhYc/x+GHzWdwIT4A2 tc3fGYZJFtbvTFrA+p1hGGeFrns0xpHePnTokC0PnnLaU6vfSesXKFAA7du3 x6pVqxAcHCzi8h3fh/U7wzDphhnWmHn7unMSTPqniLl7HLsXj0a/gIrwz+uC PAVKo8q7gzFu8f+w8c9fMXVQG9QrnR8538gGV49CKF6nC/pNX4/dN8MQqWMB zzCvA+t3Ji1g/c4wjDNir6lp3Lp9+zbmz58v+sGTPz0l/W7/GN2nmvOlS5fG 0KFDceTIEahUqiS+d8f3YhiG+c9x1O8S3Rph0ITjwbmNWP7thwioWAQe2V3g Wbw2Aj6ZjdUHruDm5cNYN+MTtKvphzzZ/g8uuTyQz682Wg6YgWWHbiE4Vv/i 92YYJkVYvzNpAet3hnEezE5i/8rvwiEvXalFP3jwYNEbzl7Dp2RKzflWrVph 0aJFCAoKsvWLs38fhmGY9IZq1Yl8d9LuknzfoEL844s4vmEaRneth8pFfeCW tzjKNu6Jz+ZswdFbYYh6HIiTf/2I0d3qo7KvG/K4usE1X3FUCuiFL+dtxT83 w5FggLzfpO/07GhtFvn3Rr0OWq0Gao0GGp0eOqP8mDl14zrF/psM8mvk12vk 12vl1+vl15uS9MNjmMwF63cmLWD9zjCZheer2/TW3Gmt4V/2Cuao3ykP/u7d u+KaSXqcrpEv0u9Uc75cuXIYPnw4jh07Zqs57/g+DMMw6QmNQqSxJbv68/qE MIRe2ITV43ugQ7XCKOLthXylG6HFwO+x7MBl3I/TwKCJQujlXVg3pRe61C4M 37yuyJEzN7z9a6FlvylYtucq7seboDcp45xkMbP1VqlxD1mna58iNjwE9+7c wvUbgbh1JxjB4bGI1hhgkMzPjO2J4z0JdPk9NPGICnuAe0E3cTMwEEHBIXgU nYAEvVnW8Em2ZphMA+t3Ji1g/c4wmQGzmC9ZOgLZugIlMclJzHZMDgf4ulcw ugbSGLZr1y7069cPxYoVSzZe3t5oPGzQoAHmzJmDBw8eiPGSYRgmoyHGT/K5 S9a1S1lPqyODcHXnz5jSuwmqF/KAd76C8KvfDf1++B/2BoYi1kj95rSIf3wF J9aMw1fvVUHZAu5wyZYdLnn9UPntjzFm2X6cepAAtcGSM0Sx+WYYhd6GuC9Z YvahR0JUMK6d/Bv/W70c8+YtwKKV67Fh/zmcDY5GrM4IWzc665qqWG8Qlzb5 9YYExIRew+n9f+L3X3/Bgv9n7yzApCq7ACyx3cvusnQs3Z3SIggKiISISAg2 oWIgKKKEgogoYIMgBogojRKS0t2xxLLEdk7H+997JxcLlf1Z9bxwnpmdnZm9 c7+p937nO2fOh8xbvJINB89xMcuC0er4hND+nrPHvSD8ExB/F/ID8XdB+Cfg 6A9k8+oNZHd+h9HiX/nv5ufXq3PwJ06cYObMmbRu3ZqQkJA8veO83/t8fX21 uXd13fv69eu1PnSCIAgFEc1sFQ92zL9bsRrSSDz0I19PfoS+zSpSMiKCqPIN aTP4Nd5esZ9jSVkYnJ5vzLpMwo4v+HTMfbSvGUu4fxEK+4YSW60194x6h083 nuRihhGTDc3VrXZnr3m7d786M9lJp9i94mMmjxrEfZ07cneP+7l/+GSmL9rK ocQMcizO9/Y8/e2ULTDryblylN3LP2DKqIH06XoHd3Xry+DnpjNv3UHOZJrR W5xz/d61RkRrhH8A4u9CfiD+Lgj/BBzfe1zfd37h79dPVv/DQ3us2jfL35mb /wuo329zcnLYuHEjQ4cOpXz58lp9uusdXg21z1yHDh2YN2+e9lnr6vcuCIJQ 0HAc31XXitu0nnGG5FPs/X4mL/VpRd3YYEIiSlK6WR8enrqEH06kkKyzuN9f 1Rr1+it72LTgZYZ1qkX5SH8KFypCQFR5qnQaxjMfrmXnhUyyTI73ZYv3sWS1 57zNcV6feo5DK+fw6oPtaFI2nJKxZShVszO9n32fpXsvci3X4vF39zy6DZM+ lYT9y1kwYTB3N6hMSeW9N7ZiQ9o9OIEP1xwkIdc1/+7+wHMduBaEAo/4u5Af iL8Lwj8DuyOF3rHs8BfKe+ud+2aH+jDVdxvXd8ybNQevOvyxY8cYP348devW xc/PT/N3b4dXz5csWZIBAwZorq/2i5PPUEEQCiTam6LT39X5cbOOtNPbWDVz JA80r0wJ/yIExVSkRrcRvPLVNg4nG7S5cPdqLJsRmy6R4xvnMXFIO+qXCaOo 6hJBUUTU6Urvl+ez/OA1knOtjmOpdtccutPdbY75dGvOVRJ2fMUHI7vQoVIw ESEh+EXVoHm/sbz3w1Hi043gdXTW8S5vwpBzgSMbPmLKox2pXzYKv9v8KFah BV2Hz+KbHfFkKu5uUfP13Xn7tr9+EFcQ/s+Ivwv5gfi7IBR8XIpuv05g1ZNf zE3/S+K3Hpfr8r9DcnIy33//Pf3799c8XXV4b3cPDAx0r3tX+85dXwtPEASh wOD8gNBy0q169Cmn2L9iFhMHdaBphWiCA8MpVbcDvcZ+yNe74rmms2j15Jyz 4Fruu92SQ4ri/MtnPs2DbatTKsQHX/8g/GNr0rj3aCZ9/TMHLmWit9k8ufM2 Rx69zbWmy5xNWvx21s4eydD2lSkbGYZvYEkqtx7EqDnr2HEuHaPrb7rquJiz yLy4gw2fPMcTnasTFxOOf3BZarYbzIsf/sDuC+mY7Bblb+iUyFX+jlH8XfhH If4u5Afi74JQ8HH7q/L6s+t02NX39KxsbEpYnWH7F4bdK7TLcnVYlc8+K/a/ NQevzqertejnzJmjve+pefRqvry6Hj46OpratWszcuRItmzZ4q45L/4uCEKB RfuAsGLKvkzC3qXMHz+Qbg3KUSoinLBStWl5/2imLtnG4avZWi66y90d/m3R esWbMhM5tekL3hnRjXZVixER4IePfzglanfkvufm8MXWk1zKNijub9H83eYK p5GrxwF06ec5vv5jpj/VheZxsYT5hxFVqR33jFBuv+0sVwxWzK4kMjV3Xvmb 57Z9wUeje9C5ejFiIyKJiGtN1yfe5ostJ7mcbVL+hlmJHKx25bPObnD0t3cf 0PbeAYJQ8BB/F/ID8XdBKPg4vpop35OyMrHGn8V66DDWA4ewHjyM7eARJQ7/ q8LqPu94bOpjtSinllNnsaVlaPmav7ev/nB/Kp+Hubm5HD58mPfee0/7rGzU qBF16tShXbt2PP3006xYsYIrV65o73ny+SkIQkHC85bknZ2kJz1xHxvnvsxT XRpQsVgoISGxVGrRhyfeWsxPJxLJMrvmyx1z6FrNO7vT563K7RP2smneC4zs WpO4iEB8C/vgG1qOam0H8fT7q9kSn0qu2aIdQ3WEcy2884iA1ZRJzqXtrJ/7 AoPa16BsRBABERWpe9fjvPz5FvZcNjhr2avbayLz8iG2fP4qI+6uT6XwQMLC SxLXbghPzVrLjvgUcq3q/ZqVbTUo7m7Eos3F269bMmZzz8nLO7VQ0BB/F/ID 8XdB+AdgUb4lpSuvv717MX02D9Mbb2KerMSUaZjfeMtxOmXqvyimaWGZ4nhs pslvKI9ZuezDuVi378CWmoZd+QzUvq256hh5rSm4kU879b1PnVvfs2cPH374 IS+//DIvvvgib775JitXruT8+fMYDAb57BQE4dbjfmOze62n8l5lpJxa0rh8 bDXzJzzE3fVLExEcSmjx6tze7wXe/m43p5OyHblLXv7uWL/urIuq/FaffoHT Gz7kncfupHmZCEKKFuG2IqFEV2nLPc/OYeH2syTlmjDbHbVJrFpNVef9qZfY DNj05zm87n1e7nc7tUuE4udfjLL172HgpEWsOJxMht7i2AZLNlePr2fR5MHc 26gMEf5BhMZUo0m/l5j83T5OKNtr1o4NOPIDrK76fN51XG3OGnp2i7OGn8vt 5X1bKBiIvwv5gfi7IBRw1J7jGZlYf96F6c230N9/P7p27TG0vcMZHTEqp47o 8I8Pz2NyhHpe36Y9+nbK47uvD+bXJmL9aRO2lBQtJyFPLyF73r5zv4XrNur7 X2pqKkeOHGHr1q1s2rSJ3bt3c+HCBXQ6nfR7FwShYOBVBMVRw93u9HdXDzcT hrTT7F8zm1cGt6d+2XDCI0tSvlE3Bk+Yy/L950nKNjjnqa3ufqQ2m6uviaOG vEWXSori1MveHsGA26tSLsyfIrf5Eqx4db3uIxi/YCMHLmWRY3JUn/uFv2NW HD6DC/uX8eHoXnSoXpwQv0CiKzSm3bA3mLXmCOfSDRiV75LmrAStZt6bj3Sk WflQgkKKEVurI71e+ogvd10gMcvgnN/3rLPP238l77EI7997JugF4dYi/i7k B+LvglDAMZrgzDmsb7+HoUVbsmNLkh0WiS4sGl1oFPrQYs6I/JdEMeWxqaE+ NkfkKudzw5XLYktgaNIU0yvjsRw+is1ZF/7v9ANW3wP1er3WV079rFS9XV0f b3PWVBYEQbjl2PF6n/McpdRq1ql565ZsrpxYz6Jpj9CzWSWiAwKIKlOPtgNf 490V+zmdmoPB4qrf7jjuabU7/NtRCV6bTcdmNWJUvfqn+Ux/sgvNK0YTcFsh fPwjiK7Whp7PzebrnQlczjI7cuZdtevsnvPYLWRc2MsPHzzLwHZVKBlchNCo MsS1G8hTs1ex9WIm6XoDWQl7WT93LIPa1aCMcp2Q4hWp3X0Er3yxhf1Xc8k2 efrLu938V3eNPU8/ecf1XHkJgnBrEX8X8gPxd0Eo4Cjfc+xHT2AdMx5jucrk +viTW8SP3KLBSgShKxKIvkiAFrp/QxQNUB5XoPI4lcelnNdr54PI8VEu91N+ Ll0W4yNPYNm1B5vBqO0i54zUTd3t3p+Z8vkpCMKtxGnrTj92rPd2OKvaE9OM JfcyJ3/6jGmPdaKJ4tx+RUMpWb0j/ccvYNmBK6QbzJoDu+beXf5usavZ6TaH vzvnsm2WXJJObGTJ1GH0bFCOqCK3UbSoP4ExVWnWdwxTlx7kxLVc7XZaDoDN 7snBd+YHGFLPsm/FdF7o15Qaxf0ICYumWO27uO/l+Xx7KInEjGySjq1j0ZTB 3FW3DGFFChNZrg7tH5vCxz8dJ1FnweQuc+d4nL+bU4X3MQQb9j/MwhKE/w/i 70J+IP4uCAUcowlb/Hks787G2LodupgS6ILC0AdFKqeuiHBG5D8/gtWIQK+E QTuNJDe4GLkhEeTGxGJo2hzzqxOxHjmO3WTWdlF+fFMTfxcEoaDgnnH/hb/b MBvSSDu7hTXvP8/DHWpRISqMgIhK1Ov0GOM/28i+S1noLdY8c+Su26rrya3O 2nO45rptJnKuHuXnxW/wXM8m1Ir2x9/HB9/gWCo2u59hk5aw5uAl0gwW5zEB r/lvZ184iy6Z83uX8vG4vnSpH0t0RCTBpRvTZvBkZv9whOMXL3LipwXMeLwz TSvG4O8bTpm6nRn42gJWHU4kw+LICFDv22rSkZ2SwLmTB9m7+2e2b9/G1m1b 2bZtGzt27eHgiXgSkjPIVj4rLTarl78Lwq1H/F3ID8TfBaGAo9YHzsjEsnkL xpfGolMcXl+xKsbylTFUqIxeiypKVP3XhEF5PCblcRkrKo8rrho65fHq4pTf NWuOacRIrKtWY7+W5KhdRP74+/XIZ6ggCLcKLSPc7pl/d6w3V9//TOSmnuTI mpm8MbQ9jctGERYYTkzVDvR8+n2+2X5G6/dusTsyyrUp7evWjbu8HldfdrVO nD6FhP3Lmf/KA9xTvwQRgb4U8QkkqHg9mvccy7TFuzl2TYfJavPKX3dVpVfn 441kJh7i569eZfR99akUHUFQcBlqdRjKmI9WsGXvVtbPf43hd9aiUkwEPmFV qNVpJK/O387BxBxMNmdWlc2EPvUcp7Z/w4KZ43j2qSEMGvQQAwY8qMQAhj4+ ipff/pTFmw5yMimTbJNXfXpBKACIvwv5gfi7IBRw1O8i6nrsS4mYV67G+MoE jA8/imnwUCUexjhkqBLD/jVhUsKshEU9//AwDMpjNQxSL38E0wtjMC9ejO1c PHa93p03770k9K+4/PX93a//vJTe74Ig3Eoc/u6oFY/N4+9Yc0g9t421c4Yz tEMlSoWFEBBQiqq3D+SZ99aw82wKBht4V6p3rCd31ISzu+p8aHPWntx6u81A RsJ+Nn32Ek91rU35CH98ixSlsH8JKjTqw2NvLmXDsSRyzFbnjLvd3VHO1dvd kJnA2U0f8faTHWlQJoLQgDDKNerGkNc/4puVi1jw5hP0alBW61EfVK45bYZM 46N1p7iQadVy++1WdV1AEpcOrGHJjJE83K0pdaqWo1y5cpRVolzZssRVrU3T Lg/y2BvzWbzrLBcyDFptfHmnFgoK4u9CfiD+LggFH+07lloP/dwFLJu2Ylm2 Asv3y5T43nm6HOu/LZY5wqLGd8scl63fgPXUKWw52disFsd32usyJWXVoyAI /zZc67u1fu02h3+rPdMMGRc4vGEubz7RhdsrRxEZXpzYyu3o8eR05m84xoU0 ncfb3XF9vTlnTn6ea1oV/07kzI5FfDj2AbrUK0PxYH8KFwkislwTOgyeyKzl +zmdokdvsbnuNU+NPYsuheTjq1n05sN0a1iW2LBgouKa0uGBkbz06vM8O6gT zeKiiYkuTbnm9zNkyjf8cOQq6UbHMQazPo2UU1tY+8krDO/bnoZ1alO9QSs6 dutN33796X//fdzXoyt39ejNA89N5b1V+zl2LRuT/ebXQxGEv4r4u5AfiL8L wj8BZ59btd56dg525bX4n4p052mW4u0Gg/L91eqZe7/VQyMIgpDvuPzd6lyz rtaK15N85meWvjuK3q2qER0YQHhMVerfPZzx89axPyGZTINR84W/EkZDFhnX jrPt2+m82LcZtUuF4luoML6hJSnXtDdDJ3/DmsMppORavHKh7DiXxGM369Cn HGPHkjd59t5GVI0NIyCsLOWqt6R1m+a0qF+OUtERFCtdl+b3v8LUJfs5eSUH izZ/bkaXEc/xHz/gzce70LBmVaKqdeCOoZOY/c06Nu3Yzd7tG1j77VxmTh3P y9Nm88nafRy/luXl7/LpINx6xN+F/ED8XRAEQRAEoeCirS+3Kd5uc/U5N2M1 pRG/61veHdWdppVjKFrYj4iSdWj94FimL9nMwXMXSbxyhauKK1y5fMURV248 rl69zOWEU+xa9SmTH+lEs4rFCCxyG4V9Qggv24xOQ6fx8Q8nuZiqc2ZC2bzW GqlT+so26q9xettXzBh+N03jYvBTbhscGkts8WhiigUq5yOJqtKOu0e+z+db L3I5w+TM9TeRm3aKg8veYtwDLahYvgIh1e/mnuc+Zenuc1zJ0GHUZZF2JZ5j +7awZft2dp+6yLUcnaMuvri7UEAQfxfyA/F3QRAEQRCEgovHix157xZjDlmX 97Np4Ws8dXd94qKDlO9sPgSFl6Fa8670fnQ0L702kUmTJjF54iQmqTHpz8Xk yertJvDCUwPp2aY2cTEh+BW+jUKFfQkIL0/N9g/z7Lsr2HbyqqdXO4569loN OTVnzJxL8qktfD/jKfo2j6O4vw/+Pv74+fnh56tsb2RZqrQdxIiZK9l0Kp10 vWtdlBlD9mXO71jCpy8P5u6W9SlfrSmNuw7lmUlz+GzJGtZt2s7W7TvY9vNO 9hw5ybmkdK0GvdV5HEEQCgLi70J+IP4uCIIgCIJQkPH0jVPr1xmykojfuYgP x/SmQ41YIvwLK9/ZClG4iB/+wRFExpSgZKnSlC79d6MUJYpHERkSqHh3EQpr 3w0LUcQvlIiKzek0bApz1x/hYoZRy+t3+Lsjx1+ttWe3WjAkn+TAd9MYe199 6kQVIcCnsPI9Uw1fIkrXpe2g15m16iDn0g0Yra4a9lYsplyyr5xi34pPmPZk bzo3rUW1qjVp1LIj9/R9mEeHP8dzL73GhLc+Zf6KHRw4n0qG3uyp0y8IBQDx dyE/EH8XBEEQBEEoyKjubnXWmbOTmXKJzUveZVSfllQuHopv4dvc39v+H6HO wRcJLkutDkN4ee4G9idkYVLr6jn93WJ3zsGrp7mJnN82j/eebEubiv4E+6nH GpQoHERstTb0eelTlu5NIN1odvaTt3rW+isOnxa/n21fvc2kEQ/Qp2tHutzZ ic53dKD97U1p2rg5zTv2Z9DYj1i4+STn03RarzzJnxcKCuLvQn4g/i4IgiAI glCAcfdrdxSHy05PYcf675k+4TkG9+9Hz3t7cO+992rR896eSjjO39tTjZ7u 3/3pUG+v3XcPeijntdAuv48evQcw7LkpfLh8J0evZGF0+rvm8GqNPVePOnMm qed+ZsPCybw2qj/9+zrvt3d/hj07kVnfbefApQz0FoujR57zsdpsFqwWPbmp l7hweBtbVn/DN198xoK5n/DRe9N4/Zkh9L2jKXVqNKRu2yE8OeVb1h26RLpR uZ04j1BAEH8X8gPxd0EQBEEQhAKMPW/PN4Nez4Vz8fy8bRtr16xh5coVrFy1 klWrVrF61WrtdJXz578aK9VYvUq735WrVrBi9UqWKz+vcP5u+erVrN28nb2n Eriapcds93QFccy9W51hxpibytVzh9n383p+XKNu63JWrf2RTTsPcPxSCmkG ExZnbT7HY7RgNmWScfUUJ/dvZcvG9Wzaso1dew9w8NBBDuzdyuqF03npoTto VKk8xcu1ptOQt1nw03ESc03aHLwgFATE34X8QPxdEARBEAShIOPVwV35b7Pa MBqMyvf7HDIzM5XIcJ7mV2SQoZxmeF2mnVf8IkfZDpPV5tWzze7ZZudadHUe 3mwyoMvNJkvbViWyssjJ1WM0W5z59p769WAkN/00B3/4gLdH96d3927cN/BJ nnt9BrM+/Ji5H77DGy88TO92NalYojgxVdrT4+n3WbLzHMkGde7/Vo2TIORF /F3ID8TfBUEQBEEQ/pl4atPfgvhb25vnUvL2azeSk3aCfSvf4fWhHWlRO47y cdWp1aQt7Tt1oUvn9rRpUoPK5YoTXSqOWncO5tk5K9l2Jpkc5WuqTZRHKCCI vwv5gfi7IAiCIAiCUHAwY8hJJH7fKhbPGsuoQd3p3LYlzZq1oMXtbWh1e0ta NG1I46bNad21H8NencMXm48Sn5qLyY5UrxMKDOLvQn4g/i4IgiAIgiAUFNSZ fYvFiD4njeSEExzdtZZViz7m41kzeG/Gu8ycMZOZ78xg9ocf89Xydfx85BxX 0nMwmC2Otfe3+gEIghPxdyE/EH8XBEEQBEEQCgqqsdgcy+ex28yYdWmkXjnH +dMnOHXiJCfVOHmCM/HxXE5KJVtvwmpz1b5z1OgXhIKA+LuQH4i/C4IgCIIg CAUFh78769irHelsFixmEyajAaPR6A6TEmaL2ePuNkffeM3hZRZeKACIvwv5 gfi7IAiCIAiCUHBw9Z9T8+E9feFR+8Jr/+yO+Xmb43o2HL3nbMrPWu95XPXw BeHWIv4u5Afi74IgCIIgCELBQZuBV1fBe9xc9XTN5a1Of7drTm9zOb36s81x udi7UFAQfxfyg9/yd5fDu/x94cKFpKeni78LgiAIgiAI+Ywjd95l44617Vbn qd1xmXM2XpuR9+pLJ8YjFBTE34X84Nf8vXDhwm6HV59Xbdq0EX8XBEEQBEEQ biG/5jLiN0LBRfxdyA9uxN9d+fPe/i7PJ0EQBEEQBEEQhF9H/F3ID1R/V738 22+/pXPnzr/r77L+XRAEQRAEQRAE4Y8Rfxfyg1/zd6lfJwiCIAiCIAiC8NcR fxfyA9Xf09LSfuHvLocPCQlx169Tryf+LgiCIAiCIAiC8PuIvwv5gervmZmZ 2vNkyJAh1K1bl0qVKmkRFxdHnTp16N+/P8uWLdOup15fEARBEARBEARB+G3E 34X8wGazodPpOHDgALNmzeLpp5/m8ccf1+Kxxx5j1KhRzJgxg927d2vXU6/v Qp5TgiAIgiAIgiAIv0T8XcgvXHPw8fHxHDp0SHP5gwcPaqfqz2fOnNHWyKvX cz2PPH025XklCIIgCIIgCILgjfi7kJ+ozw/Vz9X17deHern3vLsgCIIgCIIg CILw24i/C4IgCIIgCIIgCELBR/xdKGjIc0oQBEEQBEEQBOGXiL8L/w/keSII giAIgiAIgvD3EH8X8puCWZPO7hWCIAiCIAiCIAgFH/H3GyOv6f3S++w4/fTX tPC/sYvy8Fed/f/j+er929yhjd1vXtMuli8IgiAIgiAIQoFA/P3GcBmfw+es jrD/httpF6oe6v3z/29bhT/C5hlD7bztlwZvUy6xqb+xOa8lQygIgiAIgiAI wq1F/P3G0PzdrobicnarFlY1rGZMRgMGnQ6dErlK6JWfTWp/NKff4z0vL9xS HIdWHP5us5mxmA0Y9erY5Wpjp9MrY2lSLrfatN522jir1/2dOXpBEARBEARB EIT/B+LvN4gzr9umzsmqXmeza+5uyM0g5UoCF86c4ezpM5w+e5bzyv5Lyc7F aLY6XFEJ/iv7qQDjzprXjsNYFXfXkZ2WxJXz54g/c4rTp09z9kICiSkZZBlM WLTZd4tyO4vm+45bC4IgCIIgCIIg3BrE328Qzd8VF7cpTm5zOLlJl0bi6V1s WPEV896fw5xZc5j9wUfM/3Y1Px04x9UMveKJ4u8FBZe/qyZutejISTnLkZ/X 8u2CT/hwzizee28WH332FUs37uVYYjq5VruWY4ErJIteEARBEARBEIRbiPj7 DaL5u9UdWHWkXdjPxq+n8/KIh+h5dxe63KXEPT3o8/BoXp69jI1HEkk3WLDa xPsKAp6qdVb0GQmc3vENc994lmH330u3rnfRuXNnuvUayGNj3mX+Dwc5nWpA b1bd3Xncxi7jKAiCIAiCIAjCrUP8/cZwuJ+z0pnVgDX7Iic2zmXq451pWbM0 EeFhhIWFER5RjKjy9WjS81kmfbmVA5dz0JltYn0FBNXBbZYcrp3azLKZwxl4 R20qFC9GpHP8IqLKUblBdwa9soCluxO5lmXAZnMcs7HJKnhBEARBEARBEG4h 4u83hsffbZhyU0g6tIIlUx6mZ9MKFA/1pVDhwhQuVIgihQpTxDeMmCptuOfJ d5i7/gQXMo2YHIXsPN3I8vSZ++3idtd3qfv16/6ys92ve+Z/rOe53XPiesQ2 i5Hca0fYuXQqY/q3oG7pEPx9ilKkcBFl7NTx8yUoohK12j/O6HfX8vPpZLJN FneN+j+75345fr+4MM8W5j3329f79Z8FQRAEQRAEQfg3I/5+o9idPd5N5CSf 5MDSN3itfxPqlo0gMCSQAHXuPTSUUF9f/AoVJSiyAtXaDePZ2WvZcTGTTLMN 1z9HTTu7V9jy+KHd/S9v3zrvnuVuQ9dq29u8bkWe+/B2Rm3u2dUNzf7vdL9f HBKxe3eIs2M2ZHD50Aq+mjyAbk3LER3uj39oCKHhEUQEBBJcuDB+fhGEl2lD l6Ez+HzTGRKzTM6xv96Y7e66BvY8cf2/666f507y3srTkf76XH2v8XePndTU EwRBEARBEIT/EuLvN4rDmaymdJJObeC7t4byYIsylI4JI7hkGcrXrkv9OjWp quZiFy2Mf2AxoqvdyX3Pf8TivZe4nGPSupBpWdjO/nOu2vR25882t2u6+pN7 +ZzzenbX7dzHE2yO9dl299EBR9ivO06gXE2tm2+1W9x/+5/m8K7H8rvXAbdr az3c1f1idx61sBnJTT/HgVWzmDikNQ3jogiKiCQqrhq1GjSkfsVylAv0JcAn kKLBcdS98yle/2I7hxOzsdidf9/rb7h83G73HB9wWbg7nGNAnsBz3ut+1PF3 dKV3jCSuMbK77tNVS891/xb380QQBEEQBEEQhH8/4u83hnP2ltyk4+xZ+hZj +rWkdolgIqNiKdukK72eeJ5xLzzBQx3rUz3KnwC/QAKLVaFR91GKA27jUGIm RtXP7Hanxzv6x3v827nG2umbeVzddR6nizrvx+byeLdDOn3R5vJGjz/aXH7o un/ndW7E3/PmCty68b6RbbA7r2dz5TW4jmEo/0y5SSQeXMHCiYPp2bgMpaPC CS5bj8Y9hjHypZd4fnA37qweQ7EgfwoVDaFkzQ70H/cxy/ddJN2M4vBes+t5 lNzruItzvFw16+3XH0ex5/V679DG3uZ9bOe632nhGkvn80Kbg/9vvAYFQRAE QRAE4b+O+PuNoc1z2rJJOrmBJW8Oo0eT8oT7+xEeW40G9z3P+E++Z/nSj5n6 1D20qRROqL8vPv7FKNugG4NeW8jaw5fIMKv+jNvftd7izvlUbK55eNd8bV4X dPs79jz+bnM7Hh4/tDkv987m9nJ4rYe9/ddytAsef+X5pd7E5n08Q9svFnKT T3NgxQzGD2hFndgQwkOLUbxeN/q8+CELv/+exe+N5tE7q1G2WCCFCxUhpERV bn/geWau2MvpDAsGqyt/3ZZnbYPN+ffcrm7zzJP/MpveMe5aRoB2fc8xAO12 Novj2IrN7jXf78kjcMzROx+fXWriC4IgCIIgCMJ/CfH3G8NuM2HVJXBqy3ze evwumlQohq9/OLHVO9B99Mcs2HycQ/vXs2T6YzzQsjwlw/zx8Q0grHxD2g+Z wJw1+zmTZsBodXmYZ57V4++u9fF2zd/UuVirzaKFzW5xZd87cqy9/N32q/7u HVbHvK4WNi9/L/hj91eeX6pPW+02dx66q+Z88pntrJ49ikHtqlEyJJiwqDhq dxnBmE828PPBA+xZNYtJQ9tSv3wx/IsUxjekOFVb9WbEzO/YcCqNdL3Zc7zF vbYBr2MoHn93hfc4uLLjvfPePeNmd97G4+95x9Br/h3vOXjxd0EQBEEQBEH4 ryD+fmNYjTlkxu/gxw9eZEj7GpQN9ycwujINuo/itS+3ceCq4odXz3DshzlM e/wOmlWMINS/KEUDY6jYpBtDJy9g1aEE0oxmzb1/tYad28NV3zRjMurRGXTk GgzoTUZMVos2c2vDywm91sLb3Ln0qjeasFgMGJX70Kv3o9zeoNyn2enwrpzy gj567qXieOKPbuHttlregbLfTBkXObFuLm8/0plWytiEhcVQok5n+o77lCV7 L3Ip+RqppzewctZwBrSpSqlQXwoXDSCyXF1aDxjHW9/u4kRSNgaby5ddK9Kd x0Lca+3V/auMscWI0eTY93pl/Awmdd8717XjPdb2PGslHONqwWo1Ka9F5XbO 8dObTRjV+gWu4zx27/H+Z9UxEARBEARBEAThryH+fiPYMGYncX7bIj4a3Yv2 1UoQ5hdAdJWW9Hh2Not3xpNismPQpZF26ke+m/EofZqXo2SoD4UK+RJeujat H3pZy8M+m6F3OKDXnHve9dBq6rXiatnJXL14giOH9rBz7152HzzKsQtXuJKt OJ3Fep2/u+rWOb3OqvhediKXzh3h8P5d7N23l33HznD6ahrpBpPmkR7v/yNu 9fja87j7H5uq97p3xz61Kh6cdWEvP30ylifuqE1cqB+hMXHUuvtJXl64kQPX csg26LBknebI2lm8/lBr6pUO1XoB+oeWoHzT3gybsoj1J66RbnT6uzM/3+bt 79qcuQWzKZvMlAvEnzqo7Pvd7Ny9l4PHznI+KYsso8XLu109ASxafr/DyxXP N6WTnhTP2eP72b9/D7sPHORI/EUuZ+nQW1x5Gl7+fsvHSBAEQRAEQRD+Pbi/ X+fpGeV97pd2kvca9uuk5eZ9Xxd//yOU0bPoyEg8zJbPJ/HcvY2pWSKKwOBS VG3zIKPnrGDHuRSMas62cj196jF2fTeVF/o2pVapEHwKFSIgvBSVW/dn+Dvf sfF0CqkGiztv3lP5zGs+3qIn59ppDm1eysIP32LSpElMePMdZn+5inWHLige p8fi5e82d+15R06+MfsqFw6vY/nC93hr0ngmTZnKjLnfsWLXac5neo4fuBz+ t1HM0pRLVsoVLp07w6njxzmhxPF8jxOcOB3P+ctJpOY41hxcPw//u+PldTzE ZrNodevO71zK3DH96FK7DMUCQyhe9Xa6jHibzzafIDHXrOU22C1pXD68koXj H6RL3dKE+hTG1z+MsHLN6PjwJD768QhnU/VaHTt33wDnMROPv5sx6pJJPLGN H7/9mBnTJvPqqxOZNms+i9bv59iVDHQ2Rw0CRyu4vHnyFlMW6ZcPsmfdl3z2 7hu8MXkSE99+n3nLN7PvYgqZJm9/v5ExFARBEARBEAThRnFVrLJp8612L2dz fOt2173y6u1t97I63Ouj7Z6aVq7LbsL3dvF3b36lvrgyeqasS5zd+iWzRvSg faVixEQUI7RyWzoPn8kXW0+RmG10zoVasBjTuXRoFQteH8hd9UsT7nMbPj6B hJWqS+uB43lr5UGOJ+dgdmVfezm4ew7eZiAz8Qjbvp7GS4PuokX9WlSvWZdW 3R/m+Vnfs+3sNXK0Nd5etcmdVfHsdgMp8btYOecFhtxzO7WqVKZOw1Z0HvIq 05bs4nhKjuLvOHuS/d7crXq5hcwrp9i17BPeGTOcR/s/wIAH+tNfiQcfVE5d 0f9mxgM8MGAgg558gfGzl7B630WuZhnx3trfe8Zprx33GnS1318WmZd2sf7T sTzRsQ5VikfgG1WZql2e4MV5G9h1MROdxfn6VNxbd+0Yu7+ZwtM9G1GpmA8B vr74BEZTsUVPhr21iB+OXyHD4qjj7+okkLdevBVjThIX9izjs9cf497WTahZ WRmDZp3pO+ptPt9yjASj8pyyefrIeWrkW8lNPcfhHz9m2lP3cWf9mtRRxr1e +/4Mm7iQH48lkm72rJVwr+8XfxcEQRAEQRCEm4LL37Xv+5qDu/o+eXJvbW5/ 9/JHl604a5HjrmlldfbwttyU2lXi79549r9nDbWRrMsH2fb5BEZ2qU9ciC9h 4SUo2+Yhhs1cydazKeRYXDnwau66iazEg/ykXP/Ru+pSIawovkWUCC5OhbYD eHT2ajbHp5Brs3u5e94+Yo5a6Wc5uGwmrz3UljqlwggJDCS6Sgu6jZrJV7vO ctWEuye56/ljV/zTbk7n/O7vmDWqBy0qReNTNJCIMg1oNWAiM5YdIj5Nh9nl jX/o72aSz+5h5cznGXpHI2qWKknZkqUpVao0pUsrp6VLaac3NUqWpFTZClSs 1457npzKRz8c53yKzvH6sFv/MOffu4af+noxZV8lYc9iPnmxDx0rxxAVEkJA XHNuf2waH248yYUsKxZXPT811z73Kud3LuLdp++hdeUwwgOKUriIH2EVG9P+ ial8svkECbmqf7vqEFzv7zYs+nRSjq7j2zcfo0fDCkQH+uAfUZ7anR7n1a+2 cCDVSK7FVcPe+9idibSE/fz48Rhlf9eiTFAgISGxlGlyPw9P/pbNp6+RY7M7 3zusTn8XexcEQRAEQRCEm4m73piWN+vt747v/xaLHl1OOmkp17h27SpXrypx LYmU1Eyyc42YLVbN37E5altZ7GoNNFctbPH3m4VrLbGnj7pZcbFkLuxbzmcv D+CeumUoFhBMVJm6tBw0nqnL93MiORuTu9+bo4a4MfMSx376nOlP3UPbKlGE +xfFxz+EiBrt6fLsbBZuP01ijtmdA5+3frxjG8zZ17i8Zynzxz1Ap5qxRAX5 Exhbg6Z9XuStZfs4nmrGaHXNvztN3GrAknGGAyveY0zf5lSPDaZoYDRlG3Tn wfELWbonkeQcg5bjrbm+swb6b+wN1Pn3tISj/LTgLcYO7kXXNm1o17odbdq0 pU1bJdq1oa1yelND+Rtt2nWkY4+HePy1j1m89SyJ6Qbn8Qkrrp5qvzOIznFQ rm8xkJFwiJ+/nMQL9zWlZozi4+GxlGvZm0FTF7P66BXSTGg9/dx1/M3ZpJ79 mVWzn2HondWoGBXkOP4SFUfNu59k7IKf2H0pm2yT1Vm7ztXjz+PvNrMO49VD 7Px6MiO7NaBylL8y/so4NLyXIVOXsPpkKml6C54q9s4egeYMLh1ey/wJA+la vzQRgSGEx9aiae8xTFy0i6NXMxXDV8fNpI2fze7y93/Pa1AQBEEQBEEQbj2u 3t6OuXOrs++3Iw/eSK7ie2eObGXj2qUs+WYRixYt4psly1izficHT18lLcek +YjDEZy9xNy3F3+/Gbh6eTuczOrYz6Zcci7tY/OC8TzRqS6Vw/0IDCtJxZYP 8OTM71l/JpVUncmzlt3p41bFG9MuHmDLgld5pntDKhcLwN/Hl6KhFajeYSjP ffwjOy5koLfa8tQQ9+RRqx6Zg/7aQbZ+PoGnOtUiLkpx8YCSVGjSj8enreCn 42nojFa3v6vbbjFkkXVqI6tnPsn9zSsQG+xDcInqtHzgJWYs38NJxYP1Fr1y 7xnK7TK0XHvHLX99j2hrB3QZJF84yZE9O9m2aQubN21l0+YtbNqymc1bt7Bl S37EVrbu2MP+E+dJSM1BZ3I95y3uffTbA+npxWbLucL57V8zZ0R3OlYpRmRI BOFlm3DHw5N5f80RziTnarkIeTJe1Pz3zMsk7FzE3LH307FGKSL8ilLIJ5To qm24+5lZfLb1DIk5Rm0dvNbn3eacf9fWtKvH2RTHNqUQv3sJs57tTqvKUfgX DiCiTCNaDZnKu2tOcDFDr/Vxd/eTV+vNp8dzZM0cXnvodhqUDiQ4LJYyqvO/ 8TWrTiSRpDco185xjJ1N5+w15+48cJNfEYIgCIIgCILwX+U6f3eet1mNGNIT OLN7OV/NeZnnnxxA//t7K37chz73P8zjT09h5vz17DxxlUyDResdhau3tFe9 8r+D+LsDb393zKeaMetSuLTvOxa80o9ONUoSXrQIISVq0OyBscxYuY8zWSbN wV3O6Mildni8MTORc9s+571R93B7xXDCVAcsEkrxah3oOeYTFu+5QKrR4nBA dycyq8fF1P5vukSOr/+ENwa3pVHZSHyV28dWas99z3zEku0XtH7krnlj9ZbG nGQu7VC88/metK9anDAfP6Irt+De0XNYuucc6cq2Wuyqv6cpt0nX/N1RR+G3 9olNq/9mNZswGQ0YDI7QO0P72aj2qDPenFDuz+i+X+Vn5blotiqvGZvrdWP5 w2NW7toRVjP6y0fZ9cUknulSn6phPpoPl27Yk6GTvmbd8WRtDtyzmtx17EQZ DVOOcts9bJo3jqHtalA2zE95/hclKLoytbs/zbiFWzl8LQed1eHvmke7c/Zd tSkMJJ3dytLpj9GrSXmifIoSGlWR6ncN56V5mzl6NUureeiuZW82knvpAFvn v8KTd9YkLqwIwcr1a9w1gvFfbONwqoEci1o1IUsZuzTlT+Qqf9ri7lsn/i4I giAIgiAINwtntSm7JyyKI2ReO82RnxYzb/IoHrnvDtq2aEyTZi1o3rw5TRo0 oVnzu7hv0Eu88fFKNh+6wJUMnTuX3jNn+/e2TPzdgcuiba48bYuO7KRj7Pp2 GuP6taBu6WIEBURQtkFnHpwwl2UHL5Jmtjn925k37V4LbcdiyCD19CaWzRzB g63itH7xRQr5KP5fk8a9n2fioq0cVBwux2Qhr787j82o65vNmVw+tIYvXxtE 9waKA/oFUKxkHW7vO463l+zidEqO1k9M83erkexrJ9m7ZDqvPtCSuqWiCPQr RsUmPXnq7e/YdjpJ8UX10ZmU+85WbqPO45r+2N/teeP63mz5H86cBrurPt8f +7uaO2E1pHN5/xq+enUIPZR9FxPoT7GytWnR9wXeXPQzx67p0Fm81kt41/9X 9qU15yLH1n3KpMEdaFQuHL/ChfANiSG2fjf6vTyP7/Zd5EqOyZ0/7+j7bnOu j1G3z0rOtePs+OYNnlNz96MCiIiIpWTDHgx87XN+PHqZNIPVWcJOeT/QpXHl wBq+nvgwPRuUIybAj2LlG9Lu4Tf5aN1xLuWaMdrUHIRcZV8oDm8zuGv03Yw6 GIIgCIIgCIIguLA7HcTpQDYTOalnObz+U95+ujd31q9G5bJVqduiK72HjmDk yMcY3KMtLaqVo3KlmjS44yFGTPmSH/efJ82Zr+3qX8Vv5j/f4JaJv2t4aolZ nT6VROLBZXw2fgB31ylFichwQsrUpdWAl5i5YjcnU3TOPmKeGvDuOVitb5kJ Q1YCR378hDeH3Unz8or/FyqET0AkMTU60OO5WSxQ18Fn6J3zvrY8f187bzOj T1GcfNkMXuzVklpRQYSGl6Rsw14Mef0rVh+5SrLO7Mh016dy5dBqvn59EL0b laZUZAQBUTVo1usF3lm+X3F9ndffcOWi/379BNcxCavd3ekc3JF/4+7upOhV E8DmWmtu++M1I+qxF2OKeuzlLZ7r1YKapSLxDylBpRa9eHzaIn48coUMvcVR v99t8K4K/o4aE3arjuRTW/luuroWIY7i/oq/+/gTUCyOel2fYNxnG9l7MQ2D V/83q7avrJ5aeIZUEg+vZoHyHOpetwTFIyIILF6LFn1e5J3v9nE6KdexJ616 9Mkn2PfddMb3a0m9MsXw8y9GuUbdeOTNxaw/do1cs3p8wKo9J2x2k7OGwd97 7QuCIAiCIAiC8CvYvf1d+Y6vuKFaE23e+EH0aFSFSmVq0qit4uivfcLiNZvY snkdaxfOYMpj3ehUvyLly1ahUddhjJ37A7tVZ1D7YjmdT+rP3zxc/b+w6clM PMCWL15n1L1NqBoTTmRMRWp0HMKoWcvYcvIq2SZb3v5f7pp3rvXoynibc0iL 38EPH73EI53qExcZgI+PH/6R5ajacRAjZy1n65lkcsyuOvJ2Z10Eq/v+bMY0 Lh1Yyfyx/bi7diyRwWGElahLq/7jmL58L8eTsjCrc71Jp9jz3duM7Xs7daKD iYwoSanGvXno9a9Ze0Sd63XO83vPF/9R3rX7uq4qaW6z5v8z3+upCWDz8mS7 3dWXwTtcm2TDmH2VC7uW8Om4B+lUuywxYRFEV7ldq2c/f8NhLmYYMVu9butl 8a5ej9o6+IyLHNswT6tD2KZKNOEBfhTxCaFYlZZ0feotPtt0nIvZFsw2r/UT Nquzrpz6XDCSdfUYO758jRfuq0fVkuH4BxajfKMePDL5a9YdvUKW8nQz5qZw 5cgqvpo0hJ71y1IyIpSg0vVo8eA4ZipjfDolF4t7jb3rGNGvvfadO+H6fSNz 84IgCIIgCIJw4zjrYTv83YIx9TT7ls3g+V4tqRFTgorV7+T+Zz5k8ebTXE7N Ijc7ncxLB9ixeCpjeregTulIStRU/ONF5Tp7L2g9oC2uuUOpX3fTcJSRVzzJ mMzF/cv4dOyDdFFrzodEEBPXnK5PTufTjae4kKbTapZ73QhHHTJPPXjNeNX6 9TmXOLV1ITOGd6d1lRiCfItS1D+UiMqt6PLU23y+9SyXc6xefuqob+B2a8UB 0y/u46dPXuCJTjUoGx5EUEgsldv256lZK9gSf40cq57k+O0sf3c4/VpUItrX n4iYqjToPYYJ3+zl2LUsjDbHNrr83W5z1r3/7b2BmgOu1mgw67PRZSrPybQ0 0tPTlUhzRnr+RWYWmbl69Mrz0WLz1AbM4/A2u6dendvhTWRePsrWLybybM8m VC0eSUhISWq0fYjn5qxm59lk9NZfW3fiyk7wHB+wW7JJUfbrmg+eY1jHWpQN C8SnsA++EeWp2WkoL83byK6EHGUbPb3fHWNndXZ3s2LIusKFbZ/x/ugutKwS TWiAP5EVGtPpsanM23SSBJ2NzNQLHFv/AZOH3kGDEmGEB4dTvEEX+oyfz/ID F0k1eOpVetbM/NpxFGcVB696ipJbLwiCIAiCIAh/Es3fnV6n5s4n7uenuWMZ 2KYWJcJLUbXlgzz97lq2n8lCp83rWhQNSeLC3m/54Ln7aFOtOJFl69Bs0CTm rDtOos6u+Jjzrv/2pom/u1G1zWLEmHKS/StmMrZ/G+qUCtXqnlVodC+PTV3C ulMZpOmteW/kdibvXG/numRbFtdO/cS3U5/g/maViAn0xcfHH9+oajTs/gxv LNrNsat6zDbP+nkt3DXFbehSz3Fk9SwmDm5HvZKhhAaFElO3E73UddgHzpOs T+PC4eXMfbk3d9QsTqBPMMXKNaHzyHf5ZNt5ErMM2LxW+LvyBH5/6Bz948y6 VNIuHOPUnm3s3LSJzZs3s3nLZrZs3aSdaj/f7NiylS079rH35AUupOU6csfd 9QVcx8Hs7rXfnh58yqMzZXD56I98MWkI9zYuQ3RYOMHRNWnTbxyzVx4mXltH 8FuP2JnT4joWgJnc1DMcWvUeEwe2p15sOIGFi1DIrxil6t3NgAlfsmK/Ixff Nd6O4yI2V3dIrRd8+qkf+P6dR+nZrALFQ/wIiKlCw57PMmXJHo4kG7iWcISf v5rAqO71KR8WTEhoLFU7DOTpD9ew43wKOvfjtGr1BC1mIwaDDp1O2Te5ztDp tJqCJuX1a7VaPcc5pDa9IAiCIAiCIPxp3Bm6Vh0ppzYqPvcwdzeMI7pENZr1 Gc1by/ZyIs3R09vhgzqSz27nu7eH06dJJUrGVKZO51G8/tUu5XoWrfaW617/ 1naJv3uwW7R+7wlqzfnXBnBP44pEBQUTWaourRX/m/n9Hk6nG50153GmKjvn f93/PM7kyI9QHDD5JAdXzOS1gW1pUCqEED8fCvtFUKpOJ+5/aS7f7rpIssGK yWZ156t7+5dZn0rSibUsmT6Mvi3KUqpYCAEl6tLygVd4b+UeTlw8zb7Vsxn/ QHPqlAjEL7gE5Zr244mZy9kYn0G6wey1yts5J/uH87LqLcxkJB7n5yVzmDb6 UQb16U3f3n3p3bcPffr2oo/yc58+fW5u9Fbut28/+g8dxZgZX7Js93muZHr6 v1s1f7e7fd1d307LezeTc+0oP3/zJs/0akH1mCDCIkpSrmEvhr2+iHVHr5Gq t/zuI3bU/sdxLEbd97oUko/9yNJpT9C3aQVKhvhyW2F/QkvWpmnP0UxauIXD l7PJMTtH3+4JLUXAojh1xhkOrJnFKwNaUbt0GL6BxanYpDdPTF/K+mMXOXVg PYsmDuG+BqUpFhxBWMlGtB84iTmrj3BWzZ13PU6LHlNmAheP72DjD9+z6Osv WbjwCyW+5IsvF/P9mo3sOhbPlYxsjDZHTsf/b62DIAiCIAiCIPybcOYjW7JI PPA98166l7a1ShNdoT53PjaRuVtPkGCwa/2oXXOfGQmH2PDJOB5pU5MK4eWo 2nwwoz/YwO7LBsf6a3dNsb/+/Vz83QtnHbFdS97gxT6NqFUqAl/fKMrUupuH XlnIyv2JZJgsmkM65Izr3N1Vk8BRV9B1iXpM4NqxlXw9+SF6NixB8RAfChUq QlDxqjS4V3HARTs5kmLU5pk9NfA8+dI2iw596hF2fzeJF/rWp2qpcIoElaF6 u8GM+Wglm3dtZs3HYxnSuiplg4oSWLw69XuNZep3+ziVYUJncaynd3mu6uVo oW7nb89Gq8/B1POH+PGTiTzdrwttmjSmSeOmNG7cRDltpJwq0agRjW5mNGxI oybNadnxPgaNeY/PfzpJQppOq+tnc2eluzzbsXbBMSdvwWbO4PKR1Xz++gA6 1y9LiI8vESVq0rz3OKYu3sPJpFwM1t/2Wdcryl03T/1J2femtNPsX/YO4+5v Tp2SIfgUKqw4eDQla9/Fg2Pn8v2+y1zLMbuP3Dj83XWIRNlaa7a2XQteuZ8O NUvgXziY2LjbufeZ91i4cQfbf1jAtEfuomXZUELDShBbpycDXvmalQeSSM6x OLbHasSYkcDlg6tY8ekEnh/+EL173cs99/Sge7ce9OjRm4FPjGbKJ9+w7uAZ rmQ7cjrE3wVBEARBEAThz+LyDcUxTOmc37mI2SM70axqLFFxjeg6fCpf7jzN VUWpLHbPbbIuH2frggkMv6MulcJKEVf/fh6fsZJNF3LIMLhqz4u/3xwcNdxT T6zj22mP0qdZGUpFhhIQUY0GnUcyYf5WDlzKwWT1zpV33O6X/u7xJi2bwppL btIBtn/9KqN71qeG4oC+RQpRNKg4pRvdx5Ap37D6aLLiaiat/xg27/XLdm1N t1l3iVPb5jJjRCeaVC6On28kZet1YdCr7/P5os/4ePwgutQqSzHfAKIrt6Lr 0x/w5c/nSTbanB7nXEOO2vNcr/yshpnf93crWdfOsW/tl3zwxlieHfkUI4aP UmIkI4ePUE6HazH8ZsZTT/HUiKd5eszrTJu7jA2HLpKcrfast2jb7llZ4L32 3Tk3nR7PobXvM2FwG+qUjcDHN4LSNe+k35i5fLMrgaRcM1b3Y/sl7pFz1zBQ 95lFqyF4ce/3fDq2L3fVKU2EbxF8fIIIjq1Nq37jmLF0Pyeu5Gh17NyZ8951 9tRjcRd3s/b9kfRrUZkoHz+iStWi1YNjeGPeV3z9yURGdG9C9cgAwotXpuZd Ixjz6WZ2J+jINjmeR2p/uaQTm9k472XGDGpPqyY1qFKtGlWr16Jm9RpKVKdB 8zbc+9iLTF20kd0X0sgxW7CLvwuCIAiCIAjCn8SVS23Rekqd3fwFMx7pQOO4 GKLjmnD38LcUfz/DlTz+DjlXT7Hzq8mMvqs+1cKKU7F2Nwa/8Q1rT6trsH87 D/hPbZn4O45EeAPZV4+we8k0XnqgFbVKRRIRUYa4pn155LWv+GHfRdJ0Fm1e 9U/7kDMvP+nYWr57+0keaFWV0qE+FPUJILSkOj/8AhMXbufAxUzHugjnvLLH 321YTVkkn9zEdzOG07d5ZWKDAokqU5tmdw/i0ccHMbRHI2qVjiYouCzV2wzh xQ/XsftchrtXgadOvtr/PUcLlPO/139Q/dsmfQ5pl89z6ugB9u7Zze7de9iz S4ndu7XYnS+h3P/+wxw7m8DV9BwMJnOemvl5c9QdxxlMOde4vH85X0x8mG6N KlI8NJTwMvVpP+AV3lu+i5Opuegttj9YMeAZWc95u1ZHPjflBHtWvcurgzvQ pFw4IX6++AZFU67+PTw0dh7f77pAks7qyO3H2a9ey6FwvPb1aec4sGoW4x+4 nQYxAcrrqBTlm3Tn3kGP8/jge2hfrxwxIeGUrNqWHqNms3DzWS5nmzFpTzgT GYmH2fTFFJ65vw0NalenVouu9Bo2mlcmT+PNKROZOHYkjw+9n75DHuPpmd+w /KDac8DsrHvwb3iNCoIgCIIgCML/Cy9/16dweuPnvDWkPY0rOvy96/DpLFT8 /bIJba2ri5xrp9m9eAovdG1AjbBoKtbszMBJX7HqRBqpOgt/RSV/sWX/aX93 LWJXLMeUxuWja/la7eHVtBzFQsIIi65Ji14v8Oai7Ry5kIxOr8eghF4NgzO0 ywxa6F2/8wqD6za5meRcPcbeZe8ytl8r6pQIxrdIYfyCoihdtzsPvjSfFfsS SHHVxnPNK+Osy2Y1oUs6rvU0f6FXU2oVDyI0LJYScQ1o2LAOjarFEBMZQVBs A27vN4EPVh/lfJrRsxrf5e92l7/nOvPof6cCvbpEQO2bYDFjNpkwGo3/xzBh MiuvF2dNAFctdVd9OPcaeBz5CdlJJ9j77TRe7teCGiUiCfSLpEzdrgyc8Bkr 98eTnKsnVx0nwx+Ee+wMzlDHT4c+5yrnD6/i84mD6dm4LDFBvvgU9SdI7efe 8wXe+mY3x68ZMFldfQQsznDk0lv0qSTsX8GCsX3oXieK6IgIQmJrUqV2UxrX i6N8iXCCQktSqVl/Rry9ki0n08g1ubINcrl66ie+nDyMTg3LE1aiKnXuGcWr 81az/ehpTpw8xtF9G1m26H2mvzOdd75cx0/Hksg0ir8LgiAIgiAIwp/H1VfM jFWXzCnF36c5/T2mkuLvI6bzueLviSZHXzhXYfCcJMXfl7zBC3c3oGZYlOLv nRg48UtWn0hV/N0s/v5XyVNzTnVCxU0z4jmy7iOth1fT8qEE+YcQGlOb23s9 zYRPv2PNlp/Zt28ve/fsZY8Su/fuUWK38vMe7TLH6W7ld7uUUE/3aOH5vXLd HetZ/tlUnru/DfXKhOGn+HsRnyDFuRvSut94Zq/cz5kUneam7nrjzn5mdrXu eO5lzv78JbOe6U57xdfDA0MIDImmWFQkUREBBCvPkWjlOdLzuY9ZujuBZJ1z 3Tte9fDt6vNGrQdn1NaU/66/u9z/F9f5fzqhcx2Ca8xUf3f2YnStg7eZ1Rr/ m1n61uP0b1me2LBgivpEU75eVx4a+x4LVv3Ejn372bNXGYc/CueY7XGOsxrq 5fv27mDTmi94f9xA7mtagRLBvhQtXJQiASWJa9qPJ6d9z8ZjyWQbrVhtdq9e Ag5/V2sYpJ3fzcaPR/PkXdUoF6WMf0AUoRHFiY4MISQ4iMCY6jTo9ixTvtzF 0SuOYwGOEchR/H0jX73xCF0bVySydDVqdRvJ2E9XsvlYPGcuXuJSYjxHj+xk 09ZNbD1wmvhrORjU/HnpHycIgiAIgiAIfwpX7W+1H7jq7yc3zOfNIW1pWDFa 8/duir9/oc2/K/5uc+VP28lNOsOeJVMVf29EjdBoKtboxKDXv2D1sVRSxN// PJoKuuZvbVicdc8s5gySFT/6/t2neKBVFUoFFcWniC++ATGUqFSPRu060fme bnTv3p1u3br9Irprof7uN36v3K57jx706NaVzm2bUb9yKaJD/ChaqBCFCikO 6BdFXOMePD51ERuOXyHHanf0SHOvo3auXbfmkhK/gx/eH82wdjUoFxyAv7Kd RX2U7fX1JziqEnW6PsmYTzew90I6eovd/bA9O8BTX+8f6XV255p0NXAcnzCk n+fw2g+YMLAdDUoGEuzrQ6HCQYRGVaRaw9a0u0sZg3vvpYcyDmp0/61wjqVn 7Lq7o3v3btx9VwfaNqxGldgwgn2KUPi2QtxWOIDIcg3pMHgis1cd5Gy6EYPF Vb/A67iDsr369Iuc2fQp7w6/i5blIwnz9aVIUXUe3wdf/3CK1+hAz9FzWLwz nmt6R46B473DRObV42xfMpNxD91J02oVKVetAfXv6MWDI8czafYCPv92Od+v Xce6n/dz7GIy6Xqz8l5idR6z+QeOsyAIgiAIgiDcItzzmDaLc/59AVOHtqWR 6u8VG9Ptqbf44mfF342KP3vVM8+9pvj74qk836UR1UNjFH/vwuCJX7PWmT/v qLX1N7ftv+bvzj7rFiXMqsPbTBhyLnNk03zeeLITTeOKEVD4NsXNCisOqLiV XyABwSEEh6gRrO2P344Qr7juspBQQpX7CAkKJNBPud8iyv1r+1VxwEI+RJSp xx0Pv8ZH6w5xMUftI+ia+fbqRaf4am7yGQ4vm8GEvi2pExlAUOFCjvHxCSas XBM6PjaND9ef5EKaDus/VNF/H2cOgd2MzVmNPvn8AZbNfo6+raoS7V8YH22f FFHc2B//gBCCQsIICQ0lRBkPV/z+OP5KqGOn3jbQnwDF3YsWus09fn5hpah0 +4OMeGcZm8+kkW6wuI/BefoL2rQadGkn1rL0zSH0qhdLbEAh7faFlPH3DSpB ldbKfby3gu3xyVrPd1fndnUO35ibxqXDm1gxexxP925Hi3o1qVStHvVvv4uu fQbx0MOP8cQz43ht9tes2H2GhEwjJqtr/b0gCIIgCIIgCDeKa9bTpvq7Po34 rV/x7pN30rxycaLKN+DORyYzd9NJLurQ+se5XC378nG2fz6RER3rUym0BHF1 e/KYmqcbn6U4ghVnm+q/t23/NX+3u/zdMb9p+R979wEgVXX+//8XvxpT/rHF GGNvGHtLjIotsURpihrsiT32LlXU2Fss2LsgqNhoYsPeKCIQUEREBAEBBSlS l93l+Z/P2TnL3WFmd8rZwu77ZU6A3Zk7d2459zynlpXYT3Om2oevPG4dz2xp zXff1jbbdBPbdNNNfdps081ss83ip7D9kLbeaW87+J8d7Y4+g+3zWUts4bJk /J5qg9fsc/Nn2NQhz9uTXU62tntuZztsualtsonb3212sl0PPtHO+2/FXPaz Fi5LxY71fdBj8yvy+fi9Yk25Uvt2/HB78vbL7ciD/mJb+HO2aR2cv4pzuIm7 Vjbbakfbef929u/rn7KXR06zmT+VVJkfvzzVl6Ks5CdbPH2EDX72Omvfbm/b a4fNK87dZlvZNjs2txZnXGN3Dxhh479fYJqdMqxlpy45ZaUltmD2tzZhyMvW 5/5r7coLz7RT/nmKnXjyqXbicf+w1ofsb/s1P9AOO/4i6/zAy/bWZzPsx0XL KtaOr+9TBgAAAKxiKprjXCl+2U82fdRAe6rrsXbwTpva2n/Ywf58Qme7/eUx Nm5OuS0ts1TMtsRmTx5mr953uZ2w7x/t9+tubn/c93Tr+Oi79un0pan1343+ 83ny8ZQLiJZrbLHmZi9bZvPmz7Hhwz60Rx+42665qqt16NjBOnZqb506KnW0 jh07+9Spk1KnAlJH6+yS/uzottGhcxfr2Nlts3PF7zp16GCdrvyP3XTvk/bi B2Psy1mLU2vBV6TysPab2/eyZQtswcyxNurtZ+3Ju6+3a7t2sg7tO1iXq6+3 2x7ubQOGfmnfzF1qi0sr3luxCHnjoctN9S5lqXqN8vIymzrlGxvQt7fdfNON dkX7ThXnyp23zu48dnGps/t7p46dijh/K5LOX8dOV7pz18U66Hz6a+VKu+q6 O+yB3oPsg3Ez7PuFJRVj81Nz7FWM1XepvMRKl3xv07541159+m677Yau1r6D 3t/Frrn5Tnu079s2dOJsm704tU5ear6+cJ0uWTTX5nw/1aZM+MK+GDPKRo4Y 4a7bj+ytfk9at44n2lHNt7PttvuL7d2mg133xAf22XfzbVFp4zr/AAAAQO1b MVdaedlSmzNxsA2850Jrt/e2tv56m9l2h5xuVzz6lg2ZvMAWLyv3641ZyQ82 ZWRfe6zzsXbQDhvaehv+0f50VEe7o+9I+3peWWps83Li9zz5tkw/r3pF/K74 b/HSJfbdjBk2evQYGzr0ExsyZIj7c3BFGjLU/XuYS5+4fw9zaWhBadjQIf7P IW4bQ4ZVpKHD9Dv3c/d5Q9znfvq/z238lO9tlov/1Pe5vMqaaRV/lpUvs2VL 59mPM7+xr8aOtE8/cdsaPNiGDR9hY8ZPsmk//mQLXey+LDVOwBrZ/GWVfVkq 5/grt3k/zbevvv7aPvl0hH08eGjleRrmjmtIFeeh8PO3Ig3z58qfQ38+3blz 18iwT0bY/778xibPmm8/LVtWUb9QudbdinNZVr7UFv3kYvhvxtrokW47g4f4 bX46+jP7auoMm+3O/ZKyivkZfOyuOpzyJTb/+/E26t2XrNejD9r9Dz9lL77y tn04zH3myGH23sAe1q3Dcdb6T5vYJhs3sz8eeK5d8cDb9um0+bagtPGcewAA AKAuVMxel/qvvNQWzhxrH/e+wc4/fHfbat3f2ha7HmYnd33c+g//1vd5LStd aqWzx9uYl++2q0/Yx3bZ6P+z3221ux163n+t5wdf2Q9Lyn18VtGoX+S+NcX4 vXI+9uUV7dvunCxbVuLXClu0aJEtXLTQ/ZmeFtViWug+c1HF+nQlJVZaVpoW u5enYr9SPydZqfa3tMSWav067e/Civ1bsnSp+3nFmmulqdhxeXnx10hDVLke nnrQu++r775o0eLUsair81Y1qR5oqdba0zqRvo//irqXijn3yirmTXTnd1mJ 1qarOHcV5969t2SZ+12Z/z4Vbe/LU/H7PPtu3Jv27G3n23GHNrc/732Qtf3X Bdb+qpvstltvtqvbn2sntfyL7bzF+rbhljvbXsddaTe/MNy+mOX2qay+zxQA AACwavFjX/1/FWX5knmT7fNBD9v1Jx9of9pwbdto813swJO6WLd+w2zCj1qn eqHNHf+RvXHPpXbqAc1s07V+aRvvcKCd+J/u9uqYabbAt8+VEb8XwPdpDmui La9Y+736NurQ4lub3zMxU53fnzKfQvvt8lQbrubKL/N/ZhrXntrPMFd9Zfxe y7teT8J5DHO8ZZpjf3lq9fMVP4+17l227VScxYo7XfMPlKRid8XgFX/6vv8r lois6EuQShV95cNryysuTb23bK5NGzvIet54lrXZa2v7/Xpr2wYbb2nNtt/F dtt1V9tx261s4w3Wtd+svZ5tuttBdtyVD1rvoRNtxsISo/kdAAAAyE95aqat Mt8e52KwpXNsxrj3bcA97e2cv+9uu2y5hf1xtwOszZkd7Lr7u9uT3Z+0B69z v2u1r+259Ra2dbM97fB/ufi+z2D7YsZ8K/FxQFkqNiiugN7U4veV1RTXxYz7 su9DReSXOh/LK2LQFSuvr5jHrrxyLfTs+1n5X10u017Hllu2MxN+kr5yfd2d x+WpO355qg4h1BOtWE2g6t5Wxu/J+qRU3Zx/h+8//7WNeudF63FnZ7vi7OPt hH+0tbZt29pRR2ldwjbWulVra3vCaXbhtd2s+6BhNnbGHFtYuqxKDQYAAACA moVoIvSjVbvc4rnf2cQhfa3HNWfasfv80bbdeAPbeOvtbbd9D7ZDDj7Y9t91 B9vm9xva5pvvbge2vdiue+R1GzJ+hs1fumxFa36qjbaYmIT4HagN8eoK/GoU pSW2aP4s+2HSaBvz8Ss28KVe9nTP7tajRw+fnnqqlz0/4HV7/3/jbdKsebbI vV79NZan1RcAAAAAqF5lq6jv21zq178qX7bQFs4YZ6P6P2i3n93KDttlY9v4 t7+xddf9ra3vYuT11lrLfvu7LWzX/Y+3i27oZa9/Mtlmzlvs2939+1Pte76v NfE70Pgp/yhdbEsW/mg/zppuM2d+Z9NnfGffTZ/u/pxh3/84x+YvXmol5aWp NfZKV2rvBwAAAJCL1HzZ5al28/JlVrZ4nv04abQNf/1p63HP9XZNp0vt0ksu sksuVrrUOna9ye5+rK8NGvqVTflhoS0pSY2LTY1vLrbt3e8V8TvQwJVX3vcV qWLORc1nWFYWkuY3TI2vsNRrfCJ+BwAAAPJXMba1vLxibaiyVCxfWrLIFsz7 3r6bMsHGfTHG/ve/kfa/kSPsf6NG2+fjJtrk7+bY3AUlVlJaUT5fXjmfWWoN LeJ3oFEL8XiI3Zcn5jes+F1qToTEfxXr1qXq+LhHAQAAgDyF+L0sFb8v93ND V8xHrTWllllJyVJbqjWoligtdf8udT+viNXDHORhzjqtX16eKr8XtVfE70CD ttzKV8x1sbzUpWVm5eHfYc2BFfPxa0RNRfy+PDEfIgAAAICchfWqE/3fK2L3 5Yk5xVfMXl3lZ6m2tLAeeMW60KmyOe3vWEVx7eRmeWVesGJe+/LKMTSpue1T 7fLlfqWLxBoFHGIAAAAgf6F/a+VaUn41+MpVrpYn4vvK/ypj94o2+lBerxK/ s34cVlEr6qBQk8p6vET9XpX2dd+nvtS9UmnF+nMAAAAACrOiOSys+hxGq4bf V/2v4n+J9vjUW0PRPEbxnPgddSH9Okn2LanudaiQvOfTUwXlJ2UW8hWCdwAA AKDxIX5HXUrG7MkYnrb4GDh+AAAAQGNG/I76VDEXYznxOwAAAADUgPgdtUHX hdYkX7p0qS1ZssQWL15cmfTvkpIS/3vF7sTvAAAAAFAz4nfUhtLSUpszZ45N nDjRPv/8cxszZox99tlnPo0dO9a+/fZbf/0ohqcPPQAAAADUjPgdsemamD9/ vg0ePNjuu+8+69q1q11xxRXWvn17nzp37myPPfaYj+sXLVpU+R6uJQAAAADI jvgdsalNfebMmda9e3dr06aNNWvWzDbccEOfNtpoI9t8883t+OOPt1dffdV+ /PHHld7PNQUAAAAAKyN+R2yK36dPn24PPvig7bvvvrb22mtXXkOrrbaa/eIX v7DDDjvM+vbta7Nmzarv3QUAAACAVQLxO2JT/D5jxgx/De2///62zjrrVInf f/WrX1nLli2tf//+Nnv27PreXQAAAABYJRC/IzbNJ6/4/ZFHHrEDDjigSvyu a0jXlPrVDxgwIGP/eQAAAADAyojfEVsyfj/wwANXit9/85vf2BFHHGEvv/wy 8TsAAAAA5Ij4HbERvwMAAABAfMTviI34HQAAAADiI35HbMTvAAAAABAf8Tti I34HAAAAgPiI3xEb8TsAAAAAxEf8jtiI3wEAAAAgPuJ3xEb8DgAAAADxEb8j NuJ3AAAAAIiP+B2xEb8DAAAAQHzE74iN+B0AAAAA4iN+R2zE7wAAAAAQH/E7 YiN+BwAAAID4iN8RG/E7AAAAAMRH/I7YiN8BAAAAID7id8RG/A4AAAAA8RG/ IzbidwAAAACIj/gdsRG/AwAAAEB8xO+IjfgdAAAAAOIjfkdsxO8AAAAAEB/x O2IjfgcAAACA+IjfERvxOwAAAADER/yO2IjfAQAAACA+4nfERvwOAAAAAPER vyM24ncAAAAAiI/4HbERvwMAAABAfMTviI34HQAAAADiI35HbMTvAAAAABAf 8TtiI34HAAAAgPiI3xEb8TsAAAAAxEf8jtiI3wEAAAAgPuJ3xEb8DgAAAADx Eb8jNuJ3AAAAAIiP+B2xEb8DAAAAQHzE74iN+B0AAAAA4iN+R2zE7wAAAAAQ H/E7YiN+BwAAAID4iN8RG/E7AAAAAMRH/I7YiN8BAAAAID7id8RG/A4AAAAA 8RG/IzbidwAAAACIj/gdsRG/AwAAAEB8xO+IjfgdAAAAAOIjfkdsxO8AAAAA EB/xO2IjfgcAAACA+IjfERvxOwAAAADER/yO2IjfAQAAACA+4nfERvwOAAAA APERvyM24ncAAAAAiI/4HbERvwMAAABAfMTviI34HQAAAADiI35HbMTvAAAA ABAf8TtiI34HAAAAgPiI3xEb8TsAAAAAxEf8jtiI3wEAAAAgPuJ3xEb8DgAA AADxEb8jNuJ3AAAAAIiP+B2xEb8DAAAAQHzE74iN+B0AAAAA4iN+R2zE7wAA AAAQH/E7YiN+BwAAAID4iN8RG/E7AAAAAMRH/I7YiN8BAAAAID7id8RG/A4A AAAA8RG/IzbidwAAAACIj/gdsRG/AwAAAEB8xO+IjfgdAAAAAOIjfkdsxO8A AAAAEB/xO2IjfgcAAACA+IjfERvxOwAAAADER/yO2IjfAQAAACA+4nfERvwO AAAAAPERvyM24ncAAAAAiI/4HbERvwMAAABAfMTviI34HQAAAADiI35HbMTv AAAAABAf8TtiI34HAAAAgPiI3xEb8TsAAAAAxEf8jtiI3wEAAAAgPuJ3xEb8 DgAAAADxEb8jNuJ3AAAAAIiP+B2xEb8DAAAAQHzE74iN+B0AAAAA4iN+R2zE 7wAAAAAQH/E7YiN+BwAAAID4iN8RG/E7AAAAAMRH/I7YiN8BAAAAID7id8RG /A4AAAAA8RG/IzbidwAAAACIj/gdsRG/AwAAAEB8xO+IjfgdAAAAAOIjfkds xO8AAAAAEB/xO2IjfgcAAACA+IjfERvxOwAAAADER/yO2IjfAQAAACA+4nfE RvwOAAAAAPERvyM24ncAAAAAiI/4HbERvwMAAABAfMTviI34HQAAAADiI35H bMTvAAAAABAf8TtiI34HAAAAgPiI3xEb8TsAAAAAxEf8jtiI3wEAAAAgPuJ3 xEb8DgAAAADxEb8jNuJ3AAAAAIiP+B2xEb8DAAAAQHzE74iN+B0AAAAA4iN+ R2zE7wAAAAAQH/E7YiN+BwAAAID4iN8RG/E7AAAAAMRH/I586ZzrOlmwYIGP v2fNmmXz5s2zpUuX+ti9rKws7/hd71m0aJHNmTPHZs+e7f/Uv/VzrjEAAAAA IH5HzXSOQ1J8rmtk6tSpNmjQIHv44Yft7rvvthdeeMHGjRvnY+7S0tK84ndt U38OHTrUevToYffee691797dBg8e7GN5bQ8AAAAAmjrid2STjNtDWrJkiU2Z MsVefPFFO//88+2QQw6x/fbbz04++WR78MEHbezYsbZ48WKbOXOmPfroozXG 74rP586dax9++KH95z//sVatWtkBBxxgrVu3ti5dutgbb7xh33//feXnAwAA AEBTRfyObDLF7+on/9FHH9nll19u2223nY/Ff/3rX9uWW25pxx13nG+HV0yu +P2xxx6zv/71r7buuutWuYZ0TYX4/YcffrAJEyZYt27dfNy+9tpr+9/rOttr r73s2muv9XUCaqPnWgMAAADQlBG/I5v02F00Ll3n/rTTTrMNNtig8tpYa621 bO+997b//ve/Ph6fNm2aPf744z5+z9T+fuSRR9rAgQN9P3v1m7/00kttm222 qXzdGmus4esELrjgAhsxYgTxOwAAAIAmj/gd2WSK33XOhw8fbldffbXtsssu 9qtf/cpfG2uuuaZtscUWdvrpp/u4XG3mIX5Pb39X/N62bVvr37+/jRkzxo91 P/zww/21FV6jmH///ff39QHjx48nfgcAAADQ5BG/I5swX10yhi8pKbHp06fb s88+a0cddZT9/ve/99fGz372M3+tqA3+pptusvfee8/PX3fQQQdVxu96ja4h 9ZE/+uij7bnnnvOxvtre1da++uqrV9YFbLXVVnbOOefYm2++6fvjp9cjAAAA AEBTQ/yObDLF72EOu48//tj3bVecnd7n/cwzz/TxveaRP/TQQyvb1RW/K0Zf b7317JhjjrEnn3zS7r//ft8WH16jpGtujz32sFtuucX3xde6dJn6AgAAAABA U0L8jmyyxcuK6SdPnuznl//73//u29N1bay22mr+75qH7sorr7ROnTr5/vOK 15Pxu66hFi1a+Pnm1ca+6667+jnwwjW2+eab26mnnlq5vlxYA57YHQAAAEBT RvyOfOmca533IUOG2MUXX2zbbrut/eIXv6jsH7/ZZpv5deDUxr777rv7ue2S 8btifF1bxx57rF97bv311/dt9/r9L3/5Sz/vvOajV9u72vqJ3QEAAACA+B2F URv8xIkT/fxyzZs39zG62t91nWh+umbNmtkOO+xgG220UWVsr9/pNfr3Jpts YjvuuKP/UzG7fq6ksfJt2rSxPn36+HXhaXsHAAAAgArE7yiU1pJ7++237cIL L/TxuuLyMA5e8bzmkNf89GpzD/F7aKPXz/V79ZsPfe/1frXXq1/9qFGj/Fx5 6dcX1xsAAACApor4HYXStRLWeQ/zzCs+V1I8HuLy8LNwHWX6vWL83/3ud9au XTvf9q514TNdW7TDAwAAAGiqiN9RKPWhX7Bggb3xxht+vjmNew/xeLhmQrye /rP0pPZ49bdv3769DR061F9bmRC/AwAAAGiqiN9RqLAe/FdffWX33XefHXjg gf56CePgQ+yejOGTKbxGr9c4+eOOO86eeeYZmzJlir8Ow2dkSgAAAADQ1BC/ o1Bhffj58+fbO++849d919pvGv+eHr9niuHDzzV/nca9X3fddTZy5Ejfph+u K2J3AAAAAKhA/I5ChXhabfBjx461m2++2fbee28/J12m/vKZ4ne1vWvc+xFH HGFPP/20v/ZC2zsAAAAAYAXidxQjtMHPnDnTBg4c6Nvgt9hiC1tzzTUzxu/J OF6xu9red9ttN+vatasNGzbMryuv7QEAAAAAqiJ+RzFCG/zixYtt/Pjx/rpp 0aKFbbDBBhnnsUv+XTG+5rz75z//aX379s065zwAAAAAgPgdhUuOSQ9z0Q8Z MsQ6d+5sO+20kx8Hn2xzT+9Dr/XmNOfd3XffbRMmTPD98AEAAAAAmRG/o1Dp c8rp2pk8ebI99thjduihh9o666yz0lz0Iela2nTTTf26c+p3/+OPP3ItAQAA AEA1iN/rzvIMacVvittuvr+JIX1eeLXBz5s3z95991276KKL/Hruv/jFLzK2 vf/mN7+x5s2b2+23326ff/65LVy4kPnlAQAAAKAaTT1+z3X/M71qeeLPmraS KXavSKm/hfXSKrdV9W81bjf8X9Uf5LBnxUmP4cvKymzSpEn2+OOPW+vWrW39 9de31VdffaV569T2fsopp9hrr73m158rLS1ljTgAANAoUJYBUFuaYvxeyJri leFxpmTpMffKqVxpeSr5f5v7+4p90Yb0Sv9zRfXLyypS4r/M0X/FNiu2U16x Ub/h8kQMX7vSj9/cuXPt/fff923w22yzjW+DT/ah13W0yy672A033GCfffaZ j93Vdh/a8InhgXi4n1ZWyDMAAHKVS97SVPOfbN+3KR4LoFBNLX5P9vXOO+9M NJUXFL8nflL59+Urwuy0qNyn8tTfqvuvsl4gURewYsN1b+nSpTZx4kR7+OGH /Vz0G264ob92wpzzG2+8sR1//PHWp08fP+d8+rlY1a4poCHLdF9xjxHDA6gd 5CX5Ix8G8tMU43fFiyEVuv/lZlXi8Zz6uOezn5Zsj6+uZmDFa8oSr61POqbq E//RRx/ZlVdeaXvvvbf9/ve/t/XWW88233xzO+yww+yOO+7wbe9ad44yNFB7 MsWp3GsVOCYAYiIfKUx6HswxBKrXlOP3Yva9zFbEyyFl/UwrPK5Oj+GzxfPJ +L0h0HU0bdo069evn11yySXWqlUrPyd9u3btfL959a+fNWuWPw8BZWggvuri 96Z4r6V/56Z8LADEQ15SuKb+XALy1ZTi9/TYXeOuZ8+ebSNHjrRXX33VXnrp JXvxxRf9n+npxT5KfWxQn772RZ9+Nq9vfyvzqZ+V9u3rk/5eVvnzqmmRS9+4 977vttFf23OpT2Xq41PF57zoP+uVl/rap33624y+A6zEpfLEtkrTUz/3834D 3O8GuH8PsB/cfgx3nzPQf5+Vv8tK3y31nXUMRo0aZT/88EPRa7HrGKttXf3o Bw0aZM8884w99dRT9sILL/g14nWNqZ89MQVQN7i/MuO4AIgtvUyj8tDUqVNt 6NChNmDAgKxlzaaQXn75ZV8OnDJlii1ZsqSw8axAE9cU4/eQR2j/hw0bZrfe equdeOKJvo24ZcuW/s9kaulSi1Q6u1Ube6Z1W/u2zVFWdsTRtqxNWytpc0Qq HelSW1uaSP73Rxxls9zrX219hHVw22iX2qa23brlitTKfXaLVi1camknu8+5 s/VR9mmbo22B+5wyt42Kz2pb5TOWKLnflRx5tJW615W4NNr97PZWre0kba9F y4zfqfK7+de08H/qGNx22202ePBgvx57sm28EHq/6gF0nOfMmeO3qbnttFac rjNid6DupN9nuj+1XkRTTsm+muQ9AGJJ5rVqK1K5Wm0kXbt29WXo6spljS3p u4ak8uaxxx5rXbp0sYEDB9r06dN9OZE8GMhPU4vfw/6q7Dp58uTKdc7+8Ic/ 2DrrrGNrrbWWrb322lXSWom059rr2C1rr2fj1lnfStdd30rW+a0tdf9esva6 ttilRWlpiU+/te9cesK97nC3jU1T2/LbXyuZ1nI/r0jN3Oec414/aO31ba5L pWvrcyo+I/k5C91rFq7jPn/d37p9Wd8Wu/See+0Z7v3NtL1USv9Old8t8XvN K6djoXnnJkyY4K+FGMe6ptcQvwN1I8TturcXLVrk69KU9PemkpLfOZQbASCm ZJlG+c2nn35q1113ne27775+Tt/qymWNLa2VKIsqqbzdvHlzu/baa23EiBG2 YMECyn9AkZLx+1577ZU1fn/jjTdWufg9SW0vyjc6duxoO+ywg1+jXPOjh++a Le34/1az63+2un3xfz+30tV/YUtW/6Ut/j+lX9ii/1vTpZ9XSYuVVv+5TV19 TXtotTXsgJ/9n63jtvH/fMr+eRu5dPrPVrPX3Xvmuu0uc9tfsprblkuLVqvY 9kL384Xu50qL3faXuLTIpbfd7050n7Oh337N3ykkrfO27bbb2sUXX+z7Jahf 06p6fgFUpTagmTNn2scff+zHsmgOyVtuucX3P2qKSd+/Z8+evh/n999/748P AMQSYlKN01Sfea27s8EGG9gaa6yRc7msMSZ9f8XwJ510ku9LrzGb6ccMQG7C PRPi9wcffLDG+D3Uma2KVFZTOfbss8+2LbbYIqfYvSJ+/5nd4GLjL/5vDVvm YuXFq//Kxcy/9jH8IhfPL0rF0CEppl68xpo21aUH3Hv2c+9d+//9X07x+xnu 94NWW93mum0sU12B4nRfR5BK7mcL3ecvXP2X/rP0OQtdemv1NewE9zm/r+Ez suWpp5xyin3wwQeVc8MDWLWF8UIae6k2D80lueOOO1qzZs2abNppp53s8MMP 9/NpfvLJJ6t0fTSAhieUq1Vv+uyzz/q1d375y1/aaqutVu8xdH0mfX+1w6u/ Z+/evX0f+vRjRl4M1Cx5vyTj9+r6zzeW9vcrrrjCtttuO9/+nkva2aUbXPrC xcjL1vi5i5l/bovWWDP158ppSSopfr9/9Z/bvu696+bwOZu6dIZLb7jPmeve r89asnpFW75S2P6CVAqftdDF4INcOt699w85fqeQfvWrX/ly7UUXXUT7O9CI qM+8ykgqQ7Zp08bn42uuuWZe+UNjS+pvpHUtjzrqKHv++ed9GZv8DkAxMo0J DO3vWn9n/fXXb/J5789//nP73e9+Z8cdd5w/LqH9nflIgNxlG/8e4vdf//rX jTJ+V3lW5bVXXnnFOnfubMccc8xK82xUmXOjZQufznZ/f6Zla/u2VRsra3WE La1MbRJ/X5FKfGpjs1x6uWUru8y9/xi/rcPddltYyxYtrVWLVv5PzevRosXh Pp3kfndnq5Y23O3TgtRnLUttL2x7iUuL3e8WtWrt/t7a/V770NpGuc+52b3/ +NQ+Z/tOyflE9KeeLToWyk+19pvqOACs+sJ8H8rX99lnH1+GyrXPUWNN+v6K 4ffbbz979NFH7dtvvy16zk4ATVum2FN9Gb/88kvr0aOHXXDBBb7OsKK8tyLV VE5rDCl8V33/888/35588kl/XDQXCfMgAflJv0/Ur1zrcvfp08fPR7799tv7 8TqqK9P8ZorpO3To4NtnV9X+1ck5QVXvp++i79urVy8/LjRb6vFUD+vv/hzd 82mb1+tZK+/V28pcKnV/z5bKfHrGFvV62r7s2dNe6/mUPZPa1lMu9erR06Ve 1tP9WfE5FT9/wb3u4149bZrbpxL3/uX6vJ5uWz2rbr/Ep6dtmUul7nWlbt9m uM/50L3/ebedHtV8n8rv1aOH/1PreuhYqF4jrO0GYNUX2t/VzqwxmFtvvbVv e1a+3lST5pBSfyONwVTeN2PGDOJ3AEXJFH8qX1GMqjpUjU187rnnaiyXNdak 8qaeQ++9955NmjTJH5f09eMoewK5SV9TSLGb5h9XPHvuuef6MTuHHHKItW3b 1q99obZ3lXVWxfbZ9HxB30H5h9Y3Ux8n1V1Ul+a4tGjWbCud/aMtr5Jmp/17 RSqfrdfPtsUuzXXvn53Y3myfZvuU/JwfXVowe5aVuPeUp7ZtGT+n4vdKZamk 9/yU2kZN36fKd3PHQMciua4SgFVbyNs1Hmb8+PHWvXt3O+ecc3x7yMEHH+zz 9qaW9L31/dUGpOecjouODwAUI9uaOmF8quaN0lq6+ZTNGlvS99dxCOsIh+OT PH4AcpeM4RXHqUzTr18/u//+++2ee+6xxx57zN555x3fv14x/qqo6Dq+5Sv+ SE/VvUWtOmWpP5M/T39vpm1Vt/3kNsoTqZjcjzpQoPFI5usa8/TFF19Y//79 fV/6bt26+by9qSV9b31/zX2s59yqPBcrgIaDNXELkzxOHDegcCrrqUyj/j6f ffaZjRkzxsaNG1fZt3pV7WdYdN66PBEzL88vfk+PrZfbyrF2dfF7ps+oWoew PEoMT94JNB7JvE5jhubPn+/Hen/++ec2evToJpv0/adMmeKfc6tiXzIADQ/x O4D6phi9pKTE9yvUWHfF7Sr/NdX8KMTIFf/lFrunv7+6H1bd1op/5RK/V1Qs VN3D5UW1wgNobEI7vPothny9qSZ9fx2HMPYSAGIhfgcAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAEBjtnTpUps+fbpNmDCh2vT111/71y1evLigz1m0 aJFNnTq1xs/JJU2cONFmz55ts2bNirK9kKZNm1bw94tBx/iebt3sqquusvff f9+WLVtWb/sC1AauceRr4cKFNnr0aHvyySft4YcftrFjx9b3LiEHdXmvL1iw wP73v/9Zz6eesnvvuceGf/JJrX1WY1ReXm6TJk2yXr162ZVXXmnnn3++derU yZ584gn7/LPP6rVcBKyq5s+fb59//rl9/PHHBadvvvnGysrKfNzz4osvWvfu 3X167rnnbNy4cfX9FZuEUvfsWlZSUt+7sRLFwa+88opdffXV9s+TT7Y2bdpk TEe4dPRRR9lJJ55o5593nl3jXn/fvffaC88/b5+5/H3JkiXVfs53333nr72O HTrYse3aZf2cXNKxxx5rjz/2mD3iynLFbCc9ad9GjRpVR0e+Kt2fKnv8aY89 7I/bbmuXXHyxffnll/WyL0Bt4BpHrpYvX+6fK3fdeaeddeaZ1qJFC9vzz3+2 4487zj5wsSAatrq419Um8PFHH9nNN91kp512mrU4/HDb6y9/sZYtW1r//v2j flZjpjacV1991dq3b2/dunXzccEFLn7ffbfd/D136imn2I033FDfuwmsclSn ePlll9mhhxxScLr/vvtsscvrdI8eeeSRtueee/qk/E7xF+IrLS31bbqPP/64 XXzRRT42Vrrowgvtlptvttdff91+/PHH+t5NKykp8bH1aHedqd66+T772EZ/ +INPzbbZxk479VT/HVTf8+CDD9rtt99uHVyce/zxx9uBBxzgX9+6VSu79NJL beDAgTZnzpyMn6P62ylTptjw4cOt65VX+md6+Jw9dt/dX+NqX3mqR4/K1MMl xen3uev3P9dcY0cffbR/3zZbb+3riDt36uTfv+kmm/j9OOuss+zKLl38s+bW W2+1M125b8cddqj8HNVB6Njf7JK2d5nb5zatW/vvqd+3dn9/55136vgMVFD9 90Pu+G691VZ+X/TMVL0d0FhwjSNXit/VHqg6X+Xj4ZpRHv7+e+/V9+6hBnVx r6tMMe6LL6x/v3524QUXVJYpVC7p27dv1M9qrHSfvf3229bWxQUXX3yxjR8/ 3n766ScbOXKknXP22b5stdOOO/pjCiA/aj8/xsUtIQYpJF3VtavvX/SSexaq fjL8fLddd/UxE+KaMWOGPfLIIz7e/POf/mRbbbmlbbzRRj5tucUWPj/864EH 2qWXXGLvubLIkgbSN+kL9yxUWSlcH8qze/fu7fNzXT/z5s2zH374wSZPnuzr lfr06WPnnnOO/z6KqfV6xdQjPv3U179noufFW2+95dtTwuf845hjfP86fYb6 SiaTPlt1Auq7/79Ro/y1rOu2/RVX+KRjq/4AH3zwQWUf+JkzZ/r9VF+w5s2b V36OYnudm++//95vT99D/TK73X237eted/jhh9ugQYPq+KivMHLECF83csYZ Z/h7Vd8dWJUsd+V2pWy4xpEr1S3rmdP72Wdt//32a9Txe033TUNU3/e66gjU dqxyw4D+/X1bFfF7ftSmojLbts2a+TaPUG7TvafYQ20cl7hy6gP331/Pewqs eojfVy0ak612bPU72mTjjas9L2r31bl97dVXG8SzWzFth/btK/evVcuWvm42 G/WZV8ysvP2A/ff379nuj3+0k08+2d52MXq2GF5x+L/++c/Kz1HdvPpK1kTP 62HDhvn3qk+D6j/atWvn75FMnzVgwIDK/VK64YYbMr5O8f51117ry4bqo1Jf dDy//fZbm/DVV77cqroOYFWh+rbB7l5UuT0brnHkS3Xc6hvVWOP3XO6bhqah 3esj3H6ceOKJxO950r2lPog7bL+9PfzQQ1V+p/4NauPQ+FuNswSQn0zxu+I+ xeGKTXJJGtOisUIaN3beuef69k6lM884w1577bX6/oqNhuJLjbvS8yM9Vldc q37iaqdO/lzt8aqfrq9x10lql+7SpUvlvuXSn1zPZOXtjz36qG/D1vvUJq5x iu9nGaeo+Yd07VXG76eemnPfurlz59oN11/v2/0vu+wyu/HGG/21nUmu8bu+ g/r+q7/YAMbNAXlT3vfmm2/6cTCvuHsJiEV9q4484ohGGb+vivdNQ9znMaNH +3YA4vf89OzZ03beaSfbdZdd7InHH6/v3QEalUzx+1Ft2/px658OH55TUh8Z xS2qA/3qq698rKSk+UQawhjsxkJ9szW2e7NNN60ytlv9H9QePXjwYOvbp4+d ftppPm4Pr9l+u+3snnvuqfe5mNXn/Mo84/fke++84w7bZeed/Xs17k3921V/ m0799M9K9NPPJ35X2UHzMKrPguatea5376yvzTV+F33+TW57fV56Kaf9ALCC 6h9VD6k5VV529x0QS2OO31fF+6Yh7vOYMWP8XD3E77lTu8dtt97qx7j7+P2J J+p7l4BGJVP8rnyqkDVUFKsrTtHcFErK8xR3VUfjYLQOiOYo13wk6huuugPF /pqjTX2k1L8mbFNJ86EF6k+uutHwO+13tjqD2Xqt26fwWu1rer8dtRFr7HV4 jfpva2yAj+vcfj7/3HN291132RtvvJFxTnSNl1L8+JKL0zQf2x0u5nzooYes X79+/jsVE0MrPk+eq80328yucDGs6k/KU/3j9fnvuphY/R+S51TjjBT/16di 4ne1Yeu4/vussyrfrzEETz311EoxczHxe6BzrutO10M2+cTvepZNctur73MA rGo055HyOc0fddDf/tZgyvRoHBpr/L4q3jcNdZ+J3/OnsnnXrl39MSN+B+KL Gb9rLLP6GGmeLqUTTzjBxzjZaFyw+kW3+8c/fByktmSNmddc38e4+FPzkn/y ySd+vu+wTdXJdk+MqVe/ZK0XFn5/+umn+/nLMlFf/hOOP77ytae4fX3j9der vEb5subKDK/R3BuK5/U6jbvWvikvuv6663x/g0Bxm+ZVU36ltcLU11vfR+3F +nO/fff166P997//9XF8eQHj0XUswzw7IX7t1bPnSuO+tF/XXnttlXN68kkn +XHh9amY+F1UN6F56nU89X7V62peeq37nlRI/K5xdLo+8onz84nf86Xxf2qH ePnll1dKWltAdUlJupc0fiX5uiFDhqxUl6V6Cd1T+r3qpqqj8WnaB9WR3HrL LXaLSz3c8deYxPS6K/1bZZxM+6vP0zqVui7DZ2dKWmsyXMs6jvp38veam0Dj G5LHSPmXrgn9mW2cQz5Uv6Zr4a033/RrQWstAa1PoDmIdW3oM3OlOSc036H6 gj7q8jn159B6VdqW+o3UNCdFPu9XvZDGGiaP17vvvuvfH6iuUnWA6cdd9ZSZ jt1Sd07Huu+sOkut6yA6jx999JE98MADfn9UR6n458ccxi+qPlb9szRPitZt 1pwQN914o7+mtAZwSdr6l2GNL41j0RyWusc0X6fWdgj7rv1Kn7cqn2s8xvnW a5S3qq+ojm/Yrt6vMqvG4NzpztuHH35Y4zWqPFL7ojVd9D6toak+xKNUl+yO Xbb1N/Ll1xvNUJesc5B+Hgr+jDzPd1LMYxr2RfXcyjvVRqB2wad79fJ5jO6T WPF77HumkOuz0PsmyCffTyrmnNXFvV7M9ZhP/F7b93BN96i+p1KxCrn2kuUA XQcqb4fxnTq3yefOp668rPOXr4aUrwD1KWb8ns/8dbr/rnF5s2JQxWHp47n1 s3323tuPgVI9QPJ3WqMr0DpgyTW8NB/4Cy+8kPEzn376aR97h9dqX5999tkq r3n0kUeqjCE/7thj/fxpmtNsi803r/x5JxfXh1hC97/KBXqt8inNA59pPjnN N6d4XtvSPOT5xnrPPPOMXzMzbO/vhx5qr2eYX0D5139vv73KZ6t8km28eF0p Nn6XoUOH+vqasA3NjaLyV1Ih8bvKU9dff72PgXJVm/G76ipUb6T6oIMOOsj2 d5+jpOeh6q+SfVBEZQJdC+ecc45/3Sn/+pd/zipm1jNV31/XtsbgH/b3v/t6 tmzXg8pSuj9V13Teeef5OizNwa+6M9Vf6ZjrdxpnEIT5ZPX6sK8q56gtRc9p lQn1PFRZq0vnzlW+k9Y91LMzuT3Vb2kfVHen/VWdmtb7U1k40DNW7/3Lnnv6 +qn06yBfuj61Hzo2mmdRdYu695UHaUyRvrfmRtD1VdNcScobNFZC69x2dt9X 21UMrvUd9X2UV6i8ka0Mn+/79XrFCLq/Dk4d25PcMXkzsd7BPPcaHX/FEfpd OP6q6wtxvuI61Q0pr9Saylq78fDDDvP1hHomXH3VVX4eZtWhKd/Vn4ccfLAv Z1e3/rKuV11/Gtuj76M+VupzpetIzx99H63ltTixVobOh54fWpNU+WooBx51 1FF2oTsOSjom2na+13ix51ufpzUxH3THUp+ne0PXu/ZHdWZ6Lqm+Vs83Hadd 3HNH+6RycKbyu7avObI6duzo59RW/y1dz3qW6R5SnbDObSHPZZWRx7tzoz5j j7jP13b07FVeGqgOVGtpKt9U0n5qfbVCFXK+Yx/TIMwxr3KN5iRVfzjlocpb NE+p8jat11Jo/F5b90yh12c+901SIfl+rHNW2/d6IddjUi7xe23cw4pVdR/q 3tX+65xobh9tM9MzSMdF8az6W+qzC43jC7329BzSmkI6X1prSO1WYR4mXRvh XCqpfW5mnv0RG1K+AtS3+ojfVQemOuidU2OZs6UQ7+6S9rq6jN+V/2iedK1/ kdyHZPyudk7NTZqM76tLyssUX6ksnQ+1uSlG0xx2Soo5v585c6XXpcfJSor7 FEfVpxjxe/oc9ioLKa5Lyjd+V0x499135x0D1mb8rmei7hPtj+bqC5+heFXn Mb3tTJ+r8SHqF/KnPfbwcwWoTV5lV82NoLKq7nPN/aftVDf3/zBXrlc5VHUH +vwvx43zx1SxoJ5/2obuI9XHz0xdf9pf3Q965qndRJ+h+1ZtXWH8iZLaTzQH f2jvUj2dzufUKVN8nUWSnsEqJ6msq+e12meSx1fz4STLeopLC6Vy9NVXX+2f 27pGdYzVpq3vp++v9Rr/9re/+bahk9y9ru+QrWyksrzmOtA9d9ddd/k1BMOa g2rLUP2TvrfyFsUR6fX8hbxfx+Undx2/6PI+xe86Jro2tQZjoNfoXCgfUcwe 5shQGT3MI6ExI0+6cpvyJ80ZrN9r/iHVG6j9RNeN7i39W/WHYRvKg1W2G5vh PpudWjND9Sy6F/XM0bWi86u4UW2S+gyVq5LzVancpbLr866MpnK9Pkd1uvfe e6+v21LS79VPM99rvNjzHepLdM+HMqrmfe3oyu2az1Vl7Gvc9u9w5Upduzo+ qtfVuVHenV72Vtuh7gN9T5V/tX3Vic115Uf1J1MeoBTadHOlPER5rMq6ik2V N6hvsuqQ1e9CvnDPeh0D9VfWOde4LPUf0/OykDm9Cz3fsY+pqLyv97Zs0cLP l6Jntc6z+qJo3J7yEMXbxaz/Xhv3TDHXZ673TXpbeiH5fqxzVpv3eqHXY1Iu 8Xtt3MN6v7ar9mrVPWk/Nf+R5gFO9kUL1I6kuqKtXRlWdQaF1MEVc+2pXKJj qvOl7xzmEVaeozrDcC6V9MxZWk1/jnQNKV8BGoJM8ftuu+3my4iaQ6S6pHs8 mRflGr9/7O4lrV2ebKdW7Ktnp54Nt912my9fKH8I65rXV/yuZ21yLjjtp+aD Ux2nYiOl22+/3ecH4TVhfnS1ZyjGU36nMQLJ7Sg/03qYyfbEmij+UT65LNX3 UX9Pz1v070FvvOHz3uQxO//88zPO9VaXYsTvivHU9zFsQ88p5cFJ6fG78nPF dun9hlU/rjpgPedUVtD111Di92Cxi83UXrSTey7pMzSvgcqgmehaUh+Cf7p7 R89H0XWiMqzqL9SPT3XM1ZV31MdUcySq3l3PvGQ9gcoSKh+0dO/199o++/j7 JxnXKBYIx151Xupvl36Naj91DnWf6N6+6qqrsvajeyU1Pkb1Aun94lSXpdhe 9Xz6c6A7p4XQdak8R/mNygWKl9PPo+rpVeeosoPyAB2fERnqw5Qf6Dvr2Og4 6tgnv7/qL1TOUBlM+33G6adXKb8X+37FZKqHyhS/J6lvbOinmozftf1vJk70 bRihjkXxnNoTdf2ozVblSZULNZ5BcaHywxCzaN/T4wKVt3UP6lxffvnlVeaU 0Hd79ZVXfOyoz1EZLzkuSdSX95+p9SAzjYnN9xqPcb71mSoX6j7T8dPn6Zyo HVd9MHXvfDdtmi9z6p5o78r1+r22pe+YXvZWf2vVe53t4qSv08bGqHyqehq1 FQ/Ncu9no3tTdZ4qg1/hjr3qfXTdKEbTcVafXt2L6uur86Sf6/mn1/3nP//J a7xIUOj5jn1Mte+PuWewjmuo90yvc1M8qGd5qHsvJH6Pfc/Eyo9qum+SCs33 Y5+z2Pe6FJv/SC7xe23cwyrz6b2qb9J+hutL5e9MfTfUf0Jt2/ouKtdrDb58 xHwWKt9RjBzqqvQML0ZDyVeAhiJT/K77Q894PcOrS+ll5lzidz1TNf9bMt7V tlTm13NO96TyEMVgKleEsc71Fb+H/VMdveqCNUZa/XaVP+v5pTFhobwcjp3q 4RVj6bmu1yheUd8ulSGSdRG+TTzP9pTqKA9Tfnv2v/9dWS8d8k7te3r7Zl2L Eb/rO6q8E+bg13WqeCb5jEmP38N6iKG/sE/77efbmP7snv+KM3VeMvXFr05d xO+iPnknpdae3dXdU6pzyDR2WudezyeNncjUD1DHulWqDJapvKMypPoy7OeO jdp/M43/Sj6TdQ70HE32w9Q2FAuofkrnRjHDzLQ+Iv5Z++qr/lmr7fi5GVL1 DUm6XnWuVSeeqa+K+rapfKIYVflYIX3dwtp+f/vrX33eoDVqs90nuufVnz20 92vMXXL+S5W1lD+o/UN5qsoFmerXtLaB8k5tx/d1SsXfxb5f1EfhNHe8aorf NRZH+XN6/F75XV28Eco6Kg+pXUl97JP7o/1VuVbtF6GeVXlaevtS8rPUrzR9 ztDBiWeQ6iM0Jjkpnzikpms85vkW5fG670MeoPVTVYZOxj86TurnGZ6N6eV7 xUfqL6PnTLa+b6qXUR6ua6IQui/1PNU50jNVc0aMc/mk+pSqrVD3qPZTz2vF ltoXtXEWMha+2PMd45hKaCfQvmhu3Exjt3U9aJyKYtJC4/cgxj0T8/rM9b6J ke/HOmcx7/Wg2OtRaorf6+Ie1j2qfp/ahzZZ2hq0HxqbqetYz9V81g2OnTfG jt8bSr4CNBSZ4vdck89f84zfp02d6sv0ye2oHkxtocm6ceUlum8uvOCCem1/ V1IZQPXPig+S8Zn28Rm3zeSYdJWNNFYovdyjZ6Tyw+S+Zvr8Qmm/VGeguDXU 7YekeoNM8VFdixG/y/0Z4vfkfIDp8bvqXhTz6rmm86jxUr793V2v+rnqxHXe Gmr8nqzzUvlAfRzVXpKka1Fr3em5lRzznKR7/ejUvZ6pvKMyx1lnneWPhfrB qN4gPan9SP0VNnbHXdtR27h+lqTyr45lOMfvZjjHX40fb+eec45/jfr0qj04 ndoXLnbfVePsss21pOOte63Q467jqPGKqms/9NBDfWycjZ7zurfDPZx+vSgG Vpld21JfXbXtZaJ8RNeg+gK+594f2jiLfb8ofj89x/g95FuZ4ncdF42h1O/V J1jxT6Z+hCrf6bpTXZhe6+fU7NWrymu0Poi+l/pU6Z5JH/uh60fjFvX+TP1L 8ynT13SNxzzfonxdc3yFPEDl2Exzk4a2I71G3zVZH6VrV/MwKU/TvaDzmj7v ZJj7MVNskQt/Pi+7rOJ5dtRR/rrQHE4aox3Kwfq+3e6+28eeYb3mQvqOFnu+ YxxT3Tt6n/LMbHlQoHPayj0jio3fY9wzMa/PXO+bGPl+jHOWzz5LTfd6UOz1 6LdRQ/xeF/ewysdaB1j3p+qbNNYgE431Dv1jM/UlyCZ23hg7fm8I+QrQkNR1 /P5ZIh8MSbGW1g1Jp/tT48rqc/y72mbVPz5TnbR+dmtqfcvwej2TNX+l5gJP T2oXTR4f9adXnW2x42sU2/RzzxP10U/2a1BSHz49A6ubN7auxOo/r/MR6nQy jXvONv5dx1n5tZ61ehZqWzp2mo9HfSjVDtIQ43d5LxETq+1V8VuS+q2or1cn 9/xNb+8ONN9qWFcwU3nHr2/gvo/azvX80nMyU9K6DIr9dH9rfqHX0uZQ1HlW P1yV9XR+VK5Jf9Ym+xSozKP9Tl+rT3V66ps3oBbHoKnO6x/uvqkskybm9Mok udZU+twLoTy5mStfKV+obu4g5R2Kw5P3ZbHvl1jx+9REPavyX40Fykb9PnSe 9Fr1+9Ec+cnzpX3U9lUfk16e1DnXPELhPtK5SB8fkk+ZvqZrPOb5Dt/t1sR4 npsTz6Yk9b86IrUdzcX4QdpcW2rzUX9UPUv22msvP7412d9b+ZbOebb5tWqS PC4aS6UxXUrJ9Qn83CKp8rbGi2dbx6UmxZ7vGMc0mb+oP5zui2xirR8X456J eX3met/EyPdj3Qcx7/XkvhVzPUou/edr+x4W1fNofrXtVT/00EMZX6O57tSH Pt+x27Hzxtjxe0PIV4CGJFP8frCLD3Rta7xOdSmsYxTkEr8n7/mQVHbP1vc1 2c+2PuJ3/xpX1s1EeUaXtHni9N69Xd6tuS/Sk34e5skJSfNIFdOvXXWmmuNK fRiS8+epXVrPNJXf8xljX5tixO+q01a9ctiGxq0/99xzVV6T7/x1esZpfUDN 7dpQ43e1kWk8qmJdXUPqc5Bsd9V9pTmD1Y6dbR9qKu+oL4Lqq3S/aXyb+qPV lFROTo+79fk6J7p3VM/y77POqlI/p/KM+u8e6K7ZMAZb5ebk3P+6VlQfofUB tYZNbVH94wGuPKZ9UHl/VGpOr2zUdqLvE+rfNOdNqMPv5/JDzY+juQpUlshX se+X+ojfNQe+5tjWa3W+dX9WN25a/SV0Pyp+VH9drUcQ5v/W9RnW9Qlilulj nm/JtUxYU4w4edIk376ptjUdQ/Wh0jxYGj8SY96S51Jjc/WsVCzm5wVzxzX5 XdTOFObKPCdiv9F8z3eMY5osN2jeuPQ1RnPdTj5i3DMxr89c75sY+X6s+6A2 4vd0+V6Pkkv8Xtv3sOj60OerjkDHOL2OV2O11favMrKeofluO2beGDt+T1cf +QrQkGSK39XfWn1PNKdUdUl1icn8I5f4XX2YNQdr8vOuu+66jGvRivqHtk61 O9ZH/K78QPUUmWhOTtU9JPct35Scxz4fyic1nkr99VQOT44xUBu8+sMpHmoo sbvEiN811+9FF11UuQ3NqZPeTlTI+nHaruZy+Lyadpp0dRm/63yrPj08X7Xe geZeENX/qA+C2tVUzsimuvKOtq95AFXvo/HXr6a17+dLfTLD3LPqk/JCoq9f mGNHcaP6iav9SWUdzUcU8hPVgWssgNa7ypY3xJCcx61du3ZV1tTKJDn+R/ec rudwj6m8rnKwtldI/F3s+6U+4ndd81q/YZNU39rOWfI0rbOlPpBaT1plLfX/ VByg/FV9uusifo95viVWmVDXvb6nxpSG54/K6Lvvvru/D9SXtdB2Oz2n1WdJ cYWelYrRFX+k993QtaL6UL1OfUuL7bNV6PmOcUx7uvO8c2rOT83bPaOadarq I37Pds/EvD5zuW9i5furQvxe6PUoucTvtXkPB8mxafoO6e3Qan/QHLaaoynf Pmux88bait/rM18BGpK6Xj9Oc3do/cjk52nthmz5msbyps+lXnD83qtX3vF7 dc+Q9LZgJW1feUi2PmjpSWts5htj69mv2FzvD+tnhaTy1+233ebrRut7vrp0 MeJ3vT7Mg6ukMdSKvZMKid/9Oi+u/JRpnEQ2dRm/i2IsjQcP95auHT2j1Z9M Y1tvzzJvXVBdeUdlD4370O/UF+6ptL5w+dJ+aKye6pLUL0RzzOt+0bx7mqdX 48p072kcgMqNev5rPhmNZQhz4KnM80na2PrYknV6uZQBtRaQ1m0O51zfS+1m Ou8qB6u8pu+r9WgzzTGYTbHvD+ojfhedrzC3ue6D9DoX9dNW257GqGh+X5Uz dT0ofkiOW6zt+D3W+Q5ilgmVB2mddvWlVowQ6mRVv6U6b9XpZJsToToTEvOq 6X7UPOMqW6d/tq4/taP9xT0Xn8nS5yxXxZzvGMdU8/KpHkK/03yumlsum/qI 3yXTPRPz+szlvomV7zf0+L2Y61Fyid+ltu7hQO1q+g7apsoCyTkEdf1p/grN W1HIuhGx88baiN/rO18BGpK6jt8VR53uyuXJz6tubbNnE+XMXOL3vV38qvl0 0ynOUVtesv96sfG7YpRbEvNhhPtdZWbFVLkkjVXOJ+bT91AdyIknnFDlu6is ovHvfd1nq19bpnk56lux8bvyX/X7bNasWWUZSXl5+lyBhcTvhajr+N3PB+Hu J81Br3Kf2pX0zNY48X+7MqrWDaxOdeUdXVeaX1HXlK4lzT1dbFtBcn5gjetW XqPxHpqDRnMGaj2l5LxamvdWY911/tSGobXss81bF4vqD/S5lflBDXGLr7NL 9XtVmUxlX91rOn6azyesZaD2tHzmwy/2/UG9tb/fdZffbz8fxf33r7Qt5ZOa p0tz46sMmqxbrMv4Pdb5DmKXCbVtle/fcfutvrhhvmU/ptbtr+7RbGstZqNj EOZjCmvGpD8fkvehniM1tb1Vp9jzHeOYKk4Kz/Hjtc5LhvWtctlOvt+72Hsm 5vWZy30TK99vyPF7sdej5Bq/S23cw4Hv15Yq26jvuvqyic6Zyr133HFHQWu+ S+y8MXb83hDyFaAhqev4XfVn6fPPZ5qPSxTbXtW1a2U9eqb4XfF3Mr73fU9d DJ5O/YzUryjZz7zY+F15leo6k/O9a0xvvyz97VXXrfbd5BiEfNfnUfukngnJ 2F3Pf8VDGr9YSL1rXSk2fldbbBifqTYL9c9WrJeuscbvklzfW+3WmkNa17XG YWSbty6oqbyj57/mztXvc513VXGf+uplGl+q/VH/Nt1zui81H7PuDdU9afy7 6iOSc1SqDKD1WPVvfcd8598phOIUzdWj76y2R/Vdqa6/vr7vJZdc4l+vcoTa LAKV6ZLrUL2Xw3NfY4zHp9bxLfb9Uh/xe3JdnvSyrcqVeq/6kCo9mmFtjrqM 32Oeb4lRJtRzQfFzci45HSPN+6B7Uv3VlN9lW5+vOrp/dD9pPnS/nqN7dmTK J/zciam+p5e7OD59TotcxTjfMY6p1oUJcZPaPdPn2Mx1O/mIcc/EvD5zvW9i 5PsNNX6PcT1KTfF7bd7DScnxgxrnqrnmVQ7V+gqaH1nfpdAySOy8MWb83lDy FaAhqev4PbShbptqQw11d76vrHtuKB9UmUPlB837kdxepvg9WWeopPm9NKY2 2T9Q+Znm5AxtELHid3nrzTf9HO/J76J+Pelzbqn+QH0FNC/IcS4GVVI+nEsZ PVBsrv0L5ZLwedqOxm0rjwsxUXryxzVRN6q87jaXPyteUlJeVtvzbBYTvytO 0bMgXDcaU6Hzkqn+Q/H7mXUUv+9fx/G76nw0T4zqb5TaunKBvqvmfq3ps2sq 7/i5KVJjVVQnpPWiq1t/RuMNNPeRnsuZXqf9UR2+nu0qu+jZqnNx7rnn+r4n QfK5q/OqZ6fWyPs20pw/1VE+obbuMA5V4/LT1+ZLSq6fkb72usqzmq9Wv1M/ Zc1Nmb5GbZLaTh5zZZIwZ2Kx7xfl22ek5h3QXHjKkzNRXhTGOhYbv6tO8YLU Op/a1qTEeBZf3nTHtLp2K80T3C4173GmcpfWvvxXqkxfU9tXTdd4zPMtMcqE yre1fkhyLZdA97vm1gzPaD8fS//+Wfc3na4fjU/T91WMpnqzTPmEYgz1n9Z9 r/mv9LzQc0P5az51aDHOd4xjqrZPzaGv3+mZobwsW5tnfcTv2e6ZmNdnrvdN jHw/VmwU816XGNej1BS/1+Y9nJRcI+JY98zUs1NjvxVrq19NMX3mYueNMeP3 hpKvAA1JXcfvKgsk21FD0tolWp9EfenVL1i/D+X+6uL3wRn2X+UUxdDaH+Wn Gkuq9V23dLFu7PhdManm30u2h2sMkdrD1a9Z9awfuXK5nonKt5Pt/1o/Jp+4 0retnX56lW2oT5ba7HS81K6ZLWldz+R6rZqrRPMR7+DyVSWVNzR/WG1Kn+8v l/hddcs6RnoOhHUE1e7c2523bGWM5No8oZ5a5YLYfHtpag1fJcVb+fanyJfu nzcTdUZbuetOfef1nWvi555ItbH59aHcdpL0rL7clT/DGr9aM0Hl+kzlXvUP VH9v1ZUp7sw2XiNZ7lE5WjGl+g8m+73pPKoOSXVvfvztnnv6Z31N89bp96qr 0VzTyq8KmedOcYryCPUB0j7uv99+9uILL2Qdez5w4EB/H++RagNYmpjjS9d3 10R/IeUvmqMqOUYxUP2e+gKq3DUjVddY7PsluQa1LzO5Y50ef6keUO8L61Vo DgnFE0nJWETzgD1WzXx6qhvVesE6b6oXSJ6H5BrN2h+/JnbasfXvd/e0XqPr U9dpkubyOCs1z7Fv50lbXz6ppms85vmWnNck0rxTriyYqUyoPlkaL6s1JTLN v6H7T+sW67rQfV/TOJmkZHtmtrZVXQ+qy9X9F553up9Vn6vvn0+frhjnO8Yx VX3Upam2QT0v1f6pfCqT5P60duWEfOdkCWLcMzGvz1zvmxj5foxzls8+S033 usS4HmVMokyRKX6szXs4SWOqrknNuaS6Xs29rnZ3XUOFjLdKip03+r627jrR tnaoZr27XDSUfAVoSOo6fhflbxqLnpxLLjxnVX5Xm3KI29UOlWyrT4/fVeZV m67KHsntqB5Z816rfVRxn36vuHylteGKjN/1/FK9X2g/DEn7rM9Xe6LyQ33X 5D4qdlYddnqeV51k/9p8k57Jym+zfU/tm+Y/q03JOtTKY5uhvlrURqRxXOr7 qfoH5dm6LlTnrDHS1c3Zn1zHVEn9Qj/O8EwuVvp8iKoj0Ziw2ubrQTp18te5 7g+VvXOZdy/ZJuX7lLq4N0nPb/W3PjA1x73iO813r3XrNMe/8gT139daVOo3 d8wxx/h1JKsby7fIlf1Vrgn1W5nqUhRfql+9ygt6TS5rz4rqo85xsaf2V3NU ZWo3yYXaKLX+jI6lylfapsqR6dTvWGvaqSyi/gET0ubE0jWrtvC2qfk5lYft sccefl4+HSf9TvPqq11O4zvUD+GjRBm42PeLrgPlj7o2VLd3sjveitn0GiXd Uyr76D4K83Pr89TmkJSMRXQdqMyYqXyoNhb9Tm35igHS55JM9q3Q9zn77LPt q9Ragmor0vNHcx2EOUwOcvmU8gTFM/ou+jM5Nlt5luoelqTamXSedD2FdQtq usZjnm/x/aCvv74yD8jWB0ftb6Fsmd5WqO+pcr+/7jPM16j7Q/Ox6dmosRGZ xgxlo3Y+1Znp2Os5mSnfTObLGreidaM0XlxjslUGTl+jqjoxzneMY6p6VOVT +6bqV3WuVa7R5ye3pWtL826FMobq/lVnpvqxfMeixbpnYl2fud43MfL9GOcs n32WXO71GNejfDp8uC+H6DUqgyXXU5HavIeTdE1qbQjth8Y/KR/XHEDp81EW KmbeOPHrr/2xDfef+vUUqqHkK0BDUh/xu4S5MquLR9UvXn3LQn1gpvhdebn6 f4V8PFvSnOWarzM5XjlG/C7KHzTnvfZz4wz9BdKT6tw1d011a9qkS+b/q2L8 rvZWre+RPJcqM+mcqC5adflq91Acp3pazXGmPlCqg1ffDJ1f9Q9Qe2518aLy aLXdaoxU8jrUmI2Yc6GpzKVxosm5GdR2ozrg2m6D1zNH4ztVB6S6/DdyqMvX e9TnIoy9UL2D6u7Ty+Z6Live3iN1/BQH6pmoe1HPMn2e7ln1nVD9Uy7jZNVf 4DD3Pj3rdc9n6uM34auvfJyq61v9WXJZk0F5y/Zum9pPzUGhuLQQurf0+Sqv qkyk+j71pUj2Kddx0fWn76+2J41XydTer2uzV8+ePmYK14Xusz3dPa+8RPeh rmmVRdRvID1GKPb9+i5aA0qv03vDvXPhBRf4pLm8NP+42iH+llofW69RDK/r IYxnTcYiKi8pDlI9kcaxqN1DSePudZx0baitU/2D0q8nlSuT9auKWdRXSPeO +o3o/te8R6FsrO+qtlL9XOMp9f10vSimUh2Q9kWfp3Ol9hO1aY1wsabqJnK9 xmOe73DdhnN1nvpCp80fpfWOVOcSxivouaP7N/SL0PNDZWadBx3H9PKyb0u+ 9FJfv6VrI9c+ssqHtAaE6j31PVUXmqmfTLJtsYW7VlSu1XF9xT0v8p1nK8b5 jnFMRedQz7RQx6oYQnmY5uRQLKF8Ruvcq39CKIdov3Wtqw+L+vblI9Y9E+v6 zPW+CdsrJt+Pdc5i3+sxrkd9ntpOQp6sZ42un+Txrq17OJ3KUbqmtB+6Lq5L XRex5omJmTcm56/VuQzz7RaiIeUrQENRX/G78sQf3DNAbakaZ6N+OGHuZeWB it2e693bjyk6ItWXRUltSsq/klTWV2yqsulWaX3k9cxWnajiQvVn/3tiLbpY 8buonl1tWCobhLlg0pP6BGjuEo0JVh6YT57g+/6kzXW/KsTv+p6aK0vjIrQP yfMTygg694rrVeep8qPWN1X/JbXVqr5UbQOqd/frj2U5ZsqH1YdLc7Kq3KTr JHnNaF0C9cvTGkmFjoVXXwnVFemZpWsq9OdPxln6DqoH1vFN75Mck/rLqx6/ fZb5qAIdM8X3egarL0g4LjrfB7tjrrYnxdehnK77Us9KlY1036XXF6nsovxB Y+1y7WugeqrO7r7Q/ZltbiSVS1Rvo74SqjfP5d7QWguh3K11E7UuXaFUHlR/ P60brdhY9XwqC+j4XOvKMmrvVtukym06r9XNNaA2DM3LofOT3ncojK3RvBfZ YqNi36/zovYx3VdhziSdR90D6p+va0d5geqb9D3VBqh7VLFEqA9IxiI65/r+ qlNTmUn97VWvqnOl8pnKrZrPIFM7rX6mfhG6ZkIfDF17qoNQ2UrXnj5LxzXM A6r8X/0pNJ9SmA9luLtuFGfpvUo6Doo59T1UtsznGo9xvjXm4/XXX/d9IJJ9 cPTMUxlRdZUaW6V2NvVvTe6X2jd17BVb67ip7K95o/XcUD6o76m2PPWJ1eer rUnzw6i/zyy3zVypDTmMpaiu/3hyHiod+3/961/+HiykP24x51vnUOczxjEV 5WX6LM3xqfxaZQHdD/o8xSY61moLUL3GEUcc4etDFc/r30OHDPHlk3zEumck Rn5U032TrM8uNN+PeR/kss/53uvFXI+KP9XGr+Ot9p9wTEK9guZWVh2qxhTU 1j2c6bpQnKp91TNV5z72WkPFXHs67uojpvoWxRW655LPLh0DXQc6tvnUDTak fAVoKPSM1vwX6iMSksp3haxvoXK66gPCdrLNS52kfE+xl/rr6Z7Ws0DjTRRj 6dmQHNOipHtXbXjpVO5U+fPFF1+0O10+qrWn1K9I21NdhJ5VymcVP4T9075O Txtbqv5b7737buVrVIbMdS5e1UHq++p7q6+Z8hKtj6m6TM3Fp2ef8oh813sX 5ZGqx0+ep3zSsLTvkf49dey/qYV4c7E7v+pbpX6Y+ozq9lG/Vx2IjrmuSdVh KzbNZR17nV8dWx37bNv/0G1b7feF9nHXOdD5Vf/85LFL/w76roWe51zpvtF9 onEB1cWSOnZT3bnW/aWYL7mv+rfmZ9B3Sq8/172nY6XyiepFVDZR+4bmcVa/ tVz66wfaP51TfWZ179M9r+dwTfPoByoHaX/U30J9J38oolwU6Jwpv9B8vrqH VRevuQHVD1nlSn1GLnULal/R/HLqi6fxonfddZePC9QfVfldTdd0se9XHYCu Da2PoT6oGgev9+pcqyykcrDOh+YiCX2Fk98rfS4u5V9fuvtRx0HHW2tXq11D 95TK/dVdg/ouuh+ef/5537YW8mWV/VQvqc/V/qgOQXm36lR1DpYkxhbpulEd nuZf07FQG5byCJ2vQq9xKfR8q21beajivPQ8QPmDzpH2X89XPU/fT9svjS3X 80r92XU+xrt7SnnfkNT21IdCzzKNQ1bZU9+9ujnFMgnPRG1P4+Cz5Uc6fjpG us8V6+rv+X5WUqHnW/sX65gG+ixtV3mL2gLu6dbNz/8ZxqPo2lVfKvUB0/v1 jNWzpJD2tpj3TFBsflTdfZNJvvl+zPsgl30u5F4v9HpUGVjnKdNn6drRZynv 1DZq6x5Op33VuVDZ8mtXrqrNdYILufZ03HXMNN5CxyL9mlDZSMfhu2nT8p6v piHlK0BTpGeW8jCV0UNSXB3uv7CWcqB7cI9EX2i/PlyWeWH0Pm1HZVfVJehz 8hm7F4u+Q8gPlJcp6e+13a8aTYvGBRa7RntNdP/o+ad7Sn8WMkec6H6oaV9V NtNr8imT6D3z3X2eSx1PPrQPKkfqe+veDflTvnT8FA/86Laj8mC++VEx71de G+ot0/PCmuYWzzSXtl6r46zjoeMS+pbmQu/VuVXdmfYl/TrSdvT9tF0d90z7 pe8TXpPPZ+ci1vku5vOT8yBoX3SslOpiX3Q+dH/HOq4xzndMldeu25/Z7n7Q Z4f4WfumY1zs9459zyQVc30Wct/EyvcLFfter4vrsa7uYcWRuoZrM3ZPqu+8 Mamh5StAU6J7T3X86lsTkvrrqS9sen206sXUtzM5xlj9q9/MMM8oACCOfNbC AsA9AwBovBSja0x8mPs4jGPRXBgae6K+ORr7+cQTT/ixaMkxxhrHqfF8seba BACsjFgEyA/3DACgMdP4qjPOOKPKHGOK4fXM0/ycmi9D81Ik51dT0nxMmoMu l3FjAIDC5LOWNQDuGQBA46bxM5pL8kwXw+eyHprifK0/pbk762J9bQBoyiZP muTn9VX+qznwNRcXgOy4ZwAAjZ3mdNF6DBoLr3Ud9t9/f7++mtbmULyu55/W htLYeM0Zq3kimf8RAGqX5gDS/Mph3U7lx1q7WGsKAVgZ9wwAoKnQ3JCaK1Lr P2gtDq03obnplPR3rfU23sX4anOnzzwA1C6tk6P15o499li/Vu7WW2/t0z77 7OPXMNa61VpPp67mPgYaOu4ZAEBTp5ieNR8AoO6prlTr83744Yf2vos5kklj nrSur+YPJY8GKnDPAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAADqw9dff233dOtmV111lV8zZ9myZfW2L/rsb775xl566SW/Tx9//HG9 7cuCBQv8ukI9n3rK7r3nHhv+ySc1vkdrBE+aNMl69eplV155pZ1//vnWqVMn e/KJJ+zzzz6z0tLSKPtWVlZm47/80nr37m13/Pe/dvlll9m///1v/+cD999v Y8aM8a8p9rsVcgxq08KFC2306NH25JNP2sMPP2xjx47N+b26tmbOnGkTJkyo Nk2cONHmzJlT5b1Lliyx7777rsb3Tp482X766afYX9t//hdffGFPu+vqwQce sFGjRtXrdhqyYq6R2vqshpTHYtVTV8+VVRX3V/6a0jWlstCsWbNqfH7nk6ZN m2aLFy+u/IyGVHYF0PgpX1Ns9qc99rA/brutXXLxxfaliwvr2owZM+zFF1+0 y1z82bZtW9u3eXM7+OCD7dlnn63T/Vi0aJF9/NFHdvNNN9lpp51mLQ4/3Pb6 y1+sZcuW1r9//2rfu3TpUnv11Vetffv21s3l388995xd4J6Ju++2m+355z/b qaecYu+++27R+zh79mx75umnrWOHDtbdxQ1ao/jlAQPsogsv9OdRn3fiCSfY oDfeKOi7FXMMaoPWXf7MlSfuuvNOO+vMM61Fixb+eB5/3HH2gSur5Wr+/Pn2 1ltv2bXXXmun/Otf1qZNmyqp7ZFH2rnnnGP33nuvr7NI+v77761fv37WpXNn O8Ed2/T3HnP00XbxRRf5OE7P9li0LcWF5557rrVq1cr23msvO8rdH6+//nq9 bKehinWN1MZnNZQ8FqumunqurKq4v/JXG9fUG+5ZcuMNN9hll15qF15wwUqp g/usxx9/3Ne1pNOzWfvTpUsXu9CVY5Lv69ypk7333ntFfd958+bZI+75l/7c Liap/KX674ZSdgXQtKgO9qEHH7Stt9rKNvrDH3y+/fnnn9f5figmVb256n93 3XVXvy977rmnPe3i1Lqk+tRxX3xh/V2spmeHygPalwMPOMD69u2b9X0q07/9 9ts+BrzYlR/Gjx/v22FHjhxp55x9tm26ySa204472qOPPFLU/qkN+M477vDx otrZ9exQPXloV9UzZZutt7YtNt/crnNxqp6L+X63Qo9BbdGxVTuBnpFnungp XKtHuGfo+3k810P7u/omKJb961//6rejtMnGG9sp7tp/6803/bmbO3dulffq +E6dOtWfz1tvvdWXFcN7t9pySx+7D/74Y992H7P9XXX8A19+2Zetwnn4+6GH 2muvvVYv22moYl0jtfFZDSWPxaqnrp4rqzLur/zU1jU1dcoU+3T4cLv9ttt8 ff+WW2zhU7NttrF/nnyy9e3Tx8aNG1elTBKUlJTYt99+a+++845/lm7brJl/ n86l2iZU7imGnvuqB9D1oe/XfJ997KyzzrIru3TxdQ56pisv33GHHSqf68rP b7n5ZrvZpf9cc42vl2jTurXfL/2+tfv7O25/G0rZFUDDt9w9r5RiGTlihHVw cd8ZZ5xhL7kyaW30/62JYlD1RX3v3Xet3T/+UW95oMoCqptWv/EB/fvboYcc klPsOsU9u/R80HNHz4LQd13PJfWjUt5/ySWX2NChQwveN21TMcN+++7rn7uK J9N/r768qgfW/qp/tL5Lvt+t0GNQm3QcVYfe+9lnbf/99is6NlM/d7XThGf1 LjvvbA8/9FBO/S4//fRTO+nEEyvfq+PS56WX/HGLTfuj8o7a/sN5KCTujrWd hiz2NRLzsxpCHotVT108V1YFNZV5uL9yV5vXlK8beOsta9miReXzsVXLljZw 4EDfr68mKgf27NnT9th9dzvs73/3bQjJPuqFUv11+yuu8HXt5593nn3wwQeV feAV2//www9+HEHz5s0r91uxvdpH1Pdu+vTpvsyg8lW3u+/2beyHH364DRo0 qMGUXQE0bMon1M6n51UsaltU3eeEr77yZVLlwfVFY7pVB9wQ8sAR7hifmIrT aopd1b9LdbM7bL+9jwOT9PxR3q+xUbk8w7JR3fV5557r64jVxztTvKhnsNoG FWNWV2ed63fL5xjUBR1n1XsXG5splr3+uusqn9X77ruvrxvJhc6j+viF9x55 xBG+/r02DRs2zI499tii4+5Y22nIYl0jMT+rIeWxWHXUxXOloculzMP9lbva vqb0TDn4oIN8nrjZppvaVV27rjSfTHUUv++2667WqWNHP2Y9hm/dd7r0kkus Xbt2vo4i09xAAwYMsAP237/yuX7DDTdkfJ3iffVtVH6vPv9BQyq7AmhYFK+9 +eabfo6yVwYOrO/dqRWqE1X9aEPIA8eMHu37b+USu+qZs/NOO9muu+xiTzz+ eK3sj/qfqd/XX9xxeeaZZ4raVq7fLZ9jUBdUb654udjYTGUT9YurbEM/8EDf Np0LtV+ojSK8V2MZanuumuHDh9sJxx9fdNwdazsNWaxrpKF9FpqeuniuNGRN ocxT12rzmlK9ieaA2X677SrLcGrXzrU+Rc/l0P++e/fu0fq0acy9+iXeeOON Weslco3f9V3Un0Cx+oDEfEANqewKoGHRXBnqH6b5xDQmqDFqSHmgxkmfduqp Ncaueh7cduutflyVfyY+8UT0fVHfQfWH33LLLX1/Xc1xWoxcv1uur6srseIl tTPckojf/+ri9/45xu8a56fyZGX8fswxfg7B2kT8njvidzQGdfFcaeiaQpmn LtX2NaV2ds0Pq/lklCeqP/nQIUNyfr/mj7ngggui14lrjL/m432ud++sr8k1 fhfNr3CT216fRDmsIZVdATQcyn+uuOIKP/fUQX/7W6N9ljWkPDDX2FV9vLp2 7epfV1vlrJ/mz7cbrr/eNt5oI/+M6dOnT1HbI34nfid+X7U+C01LXTxXGrKm UuapS7V9TSXLC0o6fxpbnqvQt/+Kyy/3485j0RgMjQmobpv5xO+qB5nktqfx 8UFDKrti1aI5FL766is/d4fWHtT4jJtuvNF6dO/u13LUuNjq6B7T3Mv333ef 72Ny3733+v5K/z97ZwJ9VVX2//q3apW1eqv1VitLrSzNckDAWSvDCUTBASec QEEcGUzFACecFRBHnEAGGQTNEQccUBwIFSdQUEQtfTXDyrK09HX/92e/d//a HM65Z59z9jn33t/v+a51Vsnv3HP22fuZ97Of55nFi82ZInt+5b333lNPPPGE uuOOO2Iv+t+6OS/IC3pRufdwBpMzShbUyuJsL3k21L6wNaQYE+dLLr7oIjMm 8n7gETcXh++mV8iM6dNN3g29MMi3SuP9RrwT4DcQU54yZYq64Pzz1fn6Yo04 28UZrihsryJyf6gJimzo2qWLqYdp5xOb3K3XwrdAC5znXVTr18130fvrQj1e cq/JAXZBrTLu5Xlp/a/YC6buB9987bXXmrgmvZTwfzg7VaS2XpIM5LwytjLn vs866yx18cUXm9oh0GM9FOGLer4ra8XfmS9oxPpEP9lwQ7NWLr1zFp35zYPX X3vN9GWZPHmy2r92bpnaLvS5jfIe+ge/nvWlHi/9Uqi3kvXb8txnkZW+48Ca QZ/0NqPnPPsF9CuHX+lp0+z+OzodO8RdG8YNz1hQs9b0/YusITWA4/L74vxu ZAPzxJrAD2PGjDHrj2xKmutQz7EoqnfyyCr73rJpJPS7fGRsq+gli7zr54Oq bJpGjC0JWfUKYwgta/B1ntW0wPutXGOd2XPE32Mux2p9v2DBAu8z0llshjw2 D8hiw/A9nJeHPuhFwlmqyzWdMB6+kzlIQxnzlIY8467KVgH0OMFO4Pnk0MN7 ST5wHBgf+YVXXHFFpt+FQBb/PQ6hbVcQwp5KQ6vyQnsBdaro9dC/Xz916qmn qtk33aTuuusuQyfkoWD3o1/j6jgiK6lRdcopp5j6neTlIv9nz55tYmf0OaQO I345gLehRepf/1zz6Q6a3rnoSwT9QweuTQHt/m7hQlPvEr4eOGCAoRP6M9Gj ivM39K0m5saZF+ph8jdqOfJMfsNZHWp28Xf4Y5H2/wFyH57YW38j/Yy5j7oX O/7yl4b38H1cQE9Vv9OdZ3Qta3KMfh7zwXPJC+NMM2Phb+QPucAG4TxRr169 jLy1cnevvfb6vz6Z+kIfohuhA87wUveD+3fW9jlniFZouYJ9sb2Wi4yX2pnX 6d+g/+AvaIezPNT75KxzvVpczBM5Q8wTtAZv8n7mk99Da8iX97TNkAdxMpA5 Qd/v1K2b6tSpk6m7sskmm6gdd9xRXart6aQaJ0X4AtTzXZmHmTNnmvmn7wg1 4bmPfimsqV0bLnqevuPEabNggeY1eJPeZtAi76BuLD4D8zRo0CDTB4Vv5Ht2 2mknQ5f4+PDunQlnBkP773npOwpb05t3Um9mwoQJpsc9PV7oK8Mz8bWb2X+H Nh599FEjN6njg3zs27evmqd1dtt36nuwNa+88krzNytHyT10bW+LqN+NnGZt oQtoj/r5XNTho687sZs4vgj1HJCXv7DVs8oqty9AVTQS4l3YWGkyttX0UtH1 80GVNk1WFNUr9ZBVrxDrCSFroNPnnn3WnNGCTnkX9IZux8+YMnmy2lvbHPQG h/423XRTQ8vY+2lxkKw2g6/Nwzr48FcUPJ8xcB89yaFPerEi05F50Dy5bvRj jZ7bLnOe0pB33FXZKvA4/rrt47dzxvwuZC2yqnv37iZWWjXK8N/z2q6h7Kk0 tCovtBes0uvPngA1rQ7XNgZnRuBXdAf9paAd9ChzG1f/A5pj3ZCV8Di/JXb8 Fz2/999/vzpg//3Nhd0H2FuHz27SOsv2ISKn9zdaf/xJ00JUT3M/fiKxF8bI 3g5yGr8e24PYtdtr4qiBA03sDT2L/YIcv+qqq8w5GmpZ4rtATw8+8IA6bdQo cz+21PXXXWfuhz54DrYLdOjGekx8tuJ3WhDDoF8VuUvYEsu03oUn0LPQPn0t yGci9kV9Swt4hHrizDdrxHu22XprY6s9q3mHi7+zz8p4Bmj5jP3NmhD/PO20 08y99LsiB43v4W/YovgrfAc2B+/n2fT6oDdoHF5dscKc+cH+HzdunHmn7b1B TGa/Pn3MuSr0AzZunjhbVAYSc2eM2ErUC4fWmX9omu/YRssy5CT7IS6K8gWo 57tC5zyH+YdPjjziCHMfuX6n6zHbteHCtv4oZ6yUvRP2Im7V72Z+7V4EfERc lj0UbFX6rpIXw55XF/137sN2vz0h5zC0/56Xvl1gj42v8Sa9Xvge9rKZA+rP 4N/03H33IL29y/Tf0fmcd5ij/QVbhzd65oF7kEfQBnY0thT3Qfv8WxSu3826 0ocA/Qq/onv5X9vXnbOH+HeXaB6NznWo5xThL/Jis8iqkSNGtPUMrpJGir6L 9WUPPU3GtppeKrJ+PqjapsmCEHqlHrLqFdY0hKyxMUd8Fuvf0ef6lJNPNjzA OE7X6ztG+wzoYuxx1pZ3kmuRVJ8sj83ga/Pg+/jwlwvyU6BTeIOYB/vN8DRj gvavueYa41ux7w8dk/Pi2hZlzVMaioy7KluFd5D3buUXsQJkhS+IpzG2gVqO peVPlIHQ/nte2xWEsKfS0Kq80J6A/EJXMC8nRs6MMD9z77rL6NL11l3X8Kqb tw5umjXL+ANHaZrAJnGBTkKmss8QrUGB/MVmsDqaWGq0H7UFsZgzzzjDyHDb UxI6YCzk1pFTwnNYf3Jn8EGgX3ouone4jzqPyGXuQXfSA4l8EvwXaI4YAWMi jgstMSboh/i0RSPeCXgfNgz2MfTuxjiwK4g19qi9h9jajBkz1uBpfLVDDjnE 3BN3FozxIj/wr7DHuQ+7EpsS2+3JRYuMHKCXB7xE3h+5EsSuySskRlZP9/F8 cmoYH9+CbevyH3OB7cKcYvcf0b+/WqqfnRWuDPzR+uub+B82rJ1z4nbohOHD h6vvr7ee0f1Dhw5dY8+yKF8AX98VmkFmcR8yivhiaCC7sZd5B3ta7CXFwT2P i5ysYv89BH2Tf3Wd9gmQRYccfLDRJdF7sNfY22PdQ/vv8C85an/Uuivtghfx e9POv0OzB/ftG2tTu+C9Nk/Ux3+3+RfwNXl08AN2MfYuMgqa50KuQScun4Z6 ThH+yiqr0PXQVJU0EuJdjBk5mSZjW00v5V0/XzTKpqlibFmQRa8UlTWsD/Y4 PpzVv9AhcU1yX6GPt7SOJX7xovazTjrpJPN3aJ/v5LdRFLUZ0mweX/6ygCfg J76f2AuyLuqfYasSI4Ov+DZ442nN++47Q89TGkKM26JMWwUdSBzFzImm/9Gj R2faw7nn7rtN/BKaCJUbngUh/fcitmsIeyoNrcoL7Q2cLyO+ztyRK7YqkrdM 30zLU8hHV4dDC2PHjDF0hI0el08G7RH3ZC1csK/OeRn2cNL2+jjvjm4hHhUX hydnx+75EOdhLzFKS9A4+xB2vx/7GX6J9pd4wfE36tVnquqdyCHOLpNPSBw6 Tp65MhX6xi6I9u5O02UWxKU522D3z/D50ImMmfXmm8jLcXnnwQcfbLMH43Qf v+WbyLeAlqCFaOyM/7577lyTJ8RzDD0V9N/JmYPPGfP/Rs7HkbuJfct9+2r/ 6YmILVaELyxa0X/HzzjowAPb/Pc8uQVZ7gtF39TIIPeXNePsflItCPIw0Vmh /Xf0LXoHmki72HO1tFXPfydvop/2X9JsapdWff134vlRmmbuidcwPjvX9Llz zx+Hek4I/soqq6qkkdDvSpOxFq2kl/LoGh80yqYpe2xZkUWvhJI1+NT4LVa2 QVusoetDsL6cGbDnueLiJCFsBl+bB6Txl+35hZ3KviV9z6k1EQe+hVx/a4NQ 1yC6zqHmKQ2hx12mrTKrFjcz+89du6ppU6d677Ei4xgL9FKvRnyZCOm/57Vd Q9lT9dCqvNAeQX9mcsUO1XIO+ovGufGdbd2raM4YtEnOHjTQpXNnk98RralA DJWzU3F6CNrk3dgQ5GSxHx9dW9aNcxC9e/UyZ8Li+Bl6RZYwxhNOOCH2/Cf7 IdCOpRH2KeJi+uwpkxtu9yaS+mRX9U7sB84ncx6ZXBdynaMXa4Q99t1azw1y yn5XO9do4avL3nZ4mxwb6hil1dIhB3Dvms0Rp/vQ8awzcTPySJPO7BBf5Bwg dMSZTZ+6F1G4MhCaZL8gjmbMmPfay9xH/s+9kfNSRfii7Rkt6L9DT9j9Vfnv IegbeoLPyL3q2bOnekjbYklgX2/3ml8Z0n9HN8ED+CNpF+vAGvj47/09berN O3Xy9t/R/bck9A8kPkpc/Ye1nG5sY5cGQj0nBH9lkVVV0kgZ70qTsRatpJfy 6BofNNKmKXNsWZHVfw8ha/AfyOWwtAWdxfXgtnkI3MP32tqFFiFshiz+exp/ EXukHgLjMeey585NfBZryjlgy4fso8LnZcxTGkKPu0xbhfPY5J3wbGyzLPEx crapjcDew1MxeQNVIKT/ntd2DeUv1EOr8kJ7BHOHrOQsQzRXi9wuaglYmtx3 333X2KckJoJuJ1691VZbmXPsbq4g60AMKK4WC/fwe7v/wH7NgxG5ibyg9gLn PpLOwkxxbJbBCTYLdETt3TbeGj06NmeEOBR6g3vq9ceo6p3IBGrFsKcC7aL3 467d9N/Qq8TGqdMSzRvw1WXUHqGmkPVJqC2RBnwP4oBJus/qRnKiOFdZL1cH WkEn581/8u3BQR6P66dG88SL8gUQ/z39vhD07Y75sEMPNbZoEsrqH2fqbF13 ndlTTLugFeRZo/z3XVJ0LnNrz8JCj9c49BjqOSH4K4usqpJGynhXmoy1aCW9 lEfX+KCRNk3ZY8uChvnvWsdb2sKHiAP14fas0T17M49E6sWFsBmy+O9p/MU6 sB5t/k7tHGcSXL7GlyKu5iLUPKUh9LjLtFWof2fngzh3lj1ho5e0705ueaNq m5VVfz6KerZrKH+hHlqVFzoCiH9zHojaA+Rf/ObUU9vq4+4bY2dSl5ZYDnEz W4eGmiGcW4qzI6Og/uHxxx1nns9+Bf0N3P4TrP3BBx9saiAl5Wj42CzIf2p2 pdksyKeTa/KJsx3UJW3kO8mHJE8V/cNZEvLr0i7sx2jPnzz+O2tJ7mca0nQf +T6co9x4442NfVImfGUgPYA4l2rmQ8tAznLUQ1a+AKH9d/aBsCOJcSVdrHPc mclm9d9D0Dd1Ufg976hXRwO0Uv/3Uv33Ovra1AGq0Qr7kOhWGw8P9Zwo8vBX FllVJY2U8a6Q/nuz6KU8uiYPqrZpyhxbFjSz/55G9yFshpD+O/bBz2t9zdCP 2A/1QG4GvZK4n9xSanC5si/UPKUh9LjL9N+tb0YuDvHFLDUv6BHBuhEjTtIx ZaMq/72e7RrKX6iHZuSFIrZxe8DHmlfI7cJ/RodQg4h1xSa1uRpx+gS9z7xw xoEzoNxH3HrzzTc357fYn6kXp0Z/kSdCvgi/7dOnz2o16rAZsBepe5mEsmyW 6J5R1e+ExqnDyNlAzvVQ2yYvGum/U2sYmWJswBbz3/PyBQjtv+M7wWesX9JF ruGSmLoBzei/h6LvqVp+UJOVd5Dv+3ad/jXiv6f73e6+Kxd1R+zeVqjnWBTh ryyyqkoaKeNdjfbfy9BLZfvvjbJpyhxbFrSy/x7CZgjpv7t1+1wbNQlvOrXU iQFRn9ut3VSV/x563GX679YHIB+XGpK+IP+C3PvevXvX9RPKRqP995D+Qj00 Iy8UsY1bHeh4YjXYZdT443wC8QzowT2PlaRP8MGXL1umxo0da2x01sjG0bDx kL9J55cAvoXdp6G/IX0N2Wvn/B21FZj3ej0l26v/zr30zePfyTuZEsk7yYJG +e/IL2QK9g/nZZCzn5YYHw3pvxfli9D+OzWxyBGDR5Iu6kSz1lE0o/8eir7J u7Xn5shLX1Gnd4z47+l+NzFq+kRxr81ftXZIqOeAovyVRVZVSSNlvKuZ/PdQ fFum/95om6bMsfmiVf33UDZDSP8dO4IzJGn8Z0GvQeKVdh5GjRq12tn8qvz3 0OMu03+3fTioV8i+sC/M/q6Ws8dq/y10fkwWNNp/D+kv1EMz8kIR27iVQW4f MWDqPVJ/FPvMzVP31SfoHvQZeQrkntkapeYM2ZZbmhqFbl68C9aP/LGNa30N OTNIbJpYGj0HJk2cWJcP2qv/Tu0K5o3eOtiD9ILMG/dvlP/ON1C/glg6a3tq yeeTQvnvIfgitP9ue20sWLAg8cIOo55nFM3ov4eib2xpu092gLaJ69WvEf89 3e+GzujXyb3R/NVQzwnBX1lkVZU0Usa7msl/D8W3ZfnvzWDTlD02H7Sq/x7K Zgjpv1Mjz/ZKYu1nJNQ1tiAeQz1mG/PBr2pE/nzocZfpv9u5SNJhScBvZm7o ARii/mVeNNp/D+kv1EMz8kIR27hVwdqSp0ReGBd2R5T+6+kTdD61CF0bgd+z bz5z5kzT25VcDmQwNl+9Wqpu/1H05JVXXmn24YmZPJVSg7W9+u+AebR5Rb41 F5F90Kt77rKR+fP4bG6PpPkeOojeEOx/ZEUI/70oX1hI/br0+0LQ93S9xta2 TvMpxX9Pn6O3HRlADZz77rsv6HNC8VcWWVUljZTxrmby30EIvi3Df28mmyb0 2LKiVf13EMJmCOm/kyNMrS7+zhleeiXUO5/NvAyp9W4gVhO1Q6ry30OPuwr/ fcSIEd5+FvG1s8480/DMAj1XjUSj/XcQyl+oh1blhfaGlStXmvo69Wxwag32 qdUajOoT9NGt+jdxucfEpelrYHuZGvv2ttsSx8IZFurDoMeJb2PvURdxtLYt 0ni5Pfvv2Ly77LKL+Rs1ei/UdF6vBgNxKGpYIFfd+4hNHVrTZfX8rTL8d2QD 9SL5OzUKyamN9gl0Qe9HanlH+0z4IIQMLMoXFuK/p98Xgr7ZH+vRvbt5Bns2 PCNpX6yV/Hfqvx1xxBHmHmo53TxnTuzzkEX2PFoI//05LSvIgSKGz96XW9sm xHNC8VcWWVUljZTxrmbz30PwbRn+ezPZNKHHlhVZ9EooWRPKFg9hM/jaPCCN v2wfpO/Vem5RK504TxJecPRetC89qMpnCT3uMm0VO0bOlPicTWG/mVqh9FAb OXJkw+rOW9ja743030P5C/XQqrzQ3uD2vIQX0Z/Rc0b33nuvqYXAPXtFejLi c3M+7LxzzzX/Pwr0HX39sN9223VXdZ9+Vj0QK6LnqY3rYB/+9pZbYnsguvDt mUPdQ0sjoxN63ro1l4r67yHeCV9QA8D2asSnIsYWZw8i88g7o14A+s/NUeGM 0IBaDUgTA5s2Lfa73s5hU0ETe9Vq7mC33j9v3hrPRL7aM6Hk3FxyySWx/UHY 5yC/kJge/YGzAj1+9NFHm/d07dJFTZ06NfY+108lF+h2JzZflC8sOAPC+Y80 +wHaIT+T+zinM2HChMzfnQZTC7xmn/n67+iGOxPq+vl+W9p9IegbG9L2qWZf jD0y/h4Hd91Mv8o6vbnrgfGRn2Z5u96eVRQmHj14cNtveyeMl7kZNnTof2wl TRdRWcg5MnjFnh08etAg09Mjiix+N/4LNELPdtbflSMhnhOKv7LIqipppIx3 pclYi1bSS3l0TRqazaYJObasyKJXQska715Q2vbeQ9vgSbZ4CJvB1+YBafxF fAs/CVnGPTtsv72ao3Vo0rl8enoR3+lcy7P4KFK3M9Q8pSH0uMu0VWzOkjk/ q32+NGDr0WeOeo/0BvepO4+PylpzNjdLzXUfmJwRre/smhJzypLPH8J2DeUv 1EOr8kJ7g5urRSzlqKOOUi/XeqwTh0bfUNPP2gM21oOuR7cRu0HPmR6A+llR IP+p5YMvTm4We4D1AI2NGzfO7FnwPlP7Z8WK1O9wzxsmxYIYL2O1NELN17h4 E7rA2l7Er65M6Elb1TvhFfyCX9T6NaA76d1wxhlnGBmEX8bZg1mzZpkcFfby bpg0aQ1+Nfq5tufHuNF1H9bOxqDniFXzLnJo7N4g6zZ2zJjU+Im73xTXE5oY JHFx/BRLa507d1bHaFnFWPkbvR3JLWSPGBn2aAZ54sL1U6kBfV1C7Vri7XYf ZXstf+g/YlGUL6wtzLmPgw480NxDLiB9hePwqqZxnmf3Gi679NLM350GN5eQ nsYzZsyIvW8R316LoUXnxYXvt6XdF4K+0ZH8fbua7mQOifOyTm78Gx6gdoqV L+SZYRPCf249FR+g++kLbXkbfTstQd9G4eZCcLF/cM8996xxH7TEHj8+IDlJ 9NEkxglfcNFLHh9gP02rtt45PPZITB6h63cz17cm5Aos13TOHiFzyfmlVZF9 kBDPCcVfWWRVlTRSxrvSZKxFK+mlPLomDc1m04QcW5Z+WiCLXgkla8iVJJ/D 0lbSHiR5DDZOEbffHcJm8LV5gA9/sf9Pjz/mkrjCoEGDzHOieOedd9Tpp59u /FvitK/E1K8MNU8+CDnuMm0V4vzQX6dOnYzOSNoPhgc574Gfypph4/nk21Nn gj1t1he/l3PYeWtQxoH4kK3rxnXKKaeYs9++CGG7hvIX0tCqvNCeQB4Etfzp zcuckBfF/jc6lXqOxLagcWt/IwPZS+Df4QNsWNZwww02MHo+un5mH2LoUBOf wbb1qaWATCa2Qjz+0vHjU+NX6NuzzjqrLZfjoIMOMvQZxWtO7hrXoQkxPmoN 2e9lXnh2NA5f9TvhAfYEiF/ZPR10PDIIOmYfAN+oZ8+eJhcmLq7I3GMbUtuC cfNbeJpYF/sJT+sxoPvcsy2854SU3Bj4jH4SNnaK/KIWYTQfE/kADZCbZ+cD eiJPiLNpxAmJkWPfkBOV1Z+yIA5r9TBy5fTTTltDD/Cd9Oshpm/3ftBD1j4q yheMnXcQj7XfG32HC/bcWEdrp8BLvmeRfOHu6+AvXHTRRWvwI3qRM4K2/zA2 +/gYHvT9Nt/7QtA3z+CbrP5Er/BbfBPeCU8N0vYyMQx7rpL1xcdi3ylLvVto G124Zy0WbPUktmJa3R3mfNbMmaudk0O34TNE80NNfuBddxne4D7kLLR9/HHH mYvaaCNHjDCx6x1r/ca5B5sXHnRpCB6mhwv0xdzA188+80xb7Sz6ucD75Eay D4UfyB5Y1J8K8ZwQ/AWyyqoqaSTku3xlbKvppazr54NmtGlCjS2rTsyiV0LJ mldeftn42Ja2jjnmGOP7u6B3Hn63zcNHD1MzIipritoMvjaPL38xPr6PZ1AD YNNNNjF7rK7Mhyeoowbtm35V2s+M0/kh5ykNIcddpq2CjWLrS8BfrBNyydof fMe7775rYsbEzqAB+sT75mnac9i2lwTnVNJ6n/mCszHwsc0X4SKfim/y3YMP YbuCEPZUGlqVF9oTkE/EctgbQMZZPY1MRGfMmzfP8Cb0AZ1Ymc2+OHSPrcY5 OvYNyKXAFsEOJYeP3xBfpl8qcak/ab7zgT0jlpa3SFyL3LVTtT20nZOz8jO9 vsTxWGvyUbAd8SGIGVp6trqTWBd6kXey10Df3sP0b7Gn7X08G5uL2A+5AFW/ kzM98Cy6Hx2Dz0Ds395reZg1JEc1Kd4HnT+5aJFZI9aYCz3FuMlvIdZ+ybhx pp8jfpt9Njpt4IABhg+fcWxB3oNsgmfZPyRmb+mnm6YF9pWgHzeuh39C7Upk r91zshdjId+TOjVZY4EAfideiT2IrWyfu/VWWxl/A3+L56IPsEGgLytrrW4/ 95xzTL53Eb6AZonlU3e7h5aVdq3sO0aNHGlsDeQcsSp0FLFUd8zMBXyDbuJ5 eebDgn1QzjaxZ2r35ZDn6Ed8LL4Fu4f9eWwa9Cc1Qu2Yf6nHTO1Q/An4nTGn fRt07XOfjX2HoG+ewZqQc2ZpgPexLugX5BP7S/Sy2HPPPc1+Of4T/73wiSfU ux46DF685eabjXxCJ9n5tBc6jNyF07TejZ5bJe9w8g03mDg18RGbg2rnhfFw VpNeSS84vhTfS3yc39i6WczP1ltvbfJLn9P0Cv9Cz8QE2JOgxhT7E649iw3B GpMrjd2LXKLGCPLoBM135CzSf4XcSM7xJ81ziOcU1Tt8WxZZVSWNhHyXr4yF 31pJL+ET51k/HzSjTRNqbHE1CqJAV+TVK0VkDfKNHCL2wd09SNYU2xxZgO9F vgLvd+kZWcgz2XNdFqlZW8RmSLN50MFZbRh8fb4V/iBuwDwQb+Fe9B25ANRh Zg05WxDdR8QfK2Oe0lBk3EVoKgv4LWtJTGDLLbYw+hR/lvWiNxx8gM/NnCAn 0MXIH18fjnnlW5lH6JuzFVnn0QV54Jw3xzdFxjNelz6xD9gzQd5ee801sefa QEjbFYSwp3zQqrzQnkCMkvkhpkOskr6kzCnzzbkEeAM5h5wmv428W3Iw+Bv6 BP+AHCrqrpDPQAx3zpw55swFMpIcJd+6CAAaRFZz7u7dOvqR/R50Hfmc5FLx bnuRh4aNwHvZL2C/Af33oHMPF7oUu4b8DfiDb+G37j08Gx3AvgC6vep3ur1l eDY8jO/DvhZ2BnFizqCShxd3Xs8Ff2c9btB+BOcUiG1zlobvYu+GZz+i5fQD 0THr8RE7c3ONzPzr8bFHg8x17+e/mSPmKhpvg974fmxAZBbjwGZFRiHH3O/N AuaT+eccjzsWdAp5i8gZxoK8wv94OPKd8/WcYzO+V9sDzcsXrCmyM25ezLrq ecE+Zrzcx/4Y/BOdc85osVZv1cadF9DMi3pc9MeMjoV5YY3gY/KbmZfoWObX xkwsFd/N59t85+DDyDmoovTNmkDLS5YsMWevyd/hnK/Nt2RM+Cf4OtA58TjW wVf/Q5v8nrmErqJr5tI+8+UCX5rayNBnVCbYC5pkzaM6FRuWd068/nqTA8rZ VPjFrh10yO85+2Bzr+O+iXvx4eB58nJ5DnF68oGhY55BLDxtny/Ec4ronayy ykXZNBLyXb4yFn5rJb1UZP180Gw2Taix+QBdUUSv5JU16AboYmFtztyLeUS3 8w3EfYgDPByhZ2iBOAC0ETdneW2GejZPXhsG8HvW5SGtB8hFJkY2efJkU88Q HsF2jZMZZc6TD/KMuyhNZQHfDo3hFyMviQP379/f5KdQl558QGKQ8FCaPRAF 9Is8wt/ku7H3fPkqDvij0AfrNj8id137k/lhvMx9HELbrhZF7SlftCovtBcw t8hI6IM1j8uDRacj21lzdy3s+SgAPfN3nsNl9VEWEFMjDsVeQJbajR0JyCF4 hvXgf7PITObUrqXN824E+AbkFjKH8fjsLVSNInwhyI8i9A1YB2yzP+t1Iy7B GllZwrOQS42i+7xg/PALfg206PIL34QuzEJ//IbnsIf4Xk0W5JG3RZ7TSP6q kkbaIz3GoSjfhkQz2TQhx1YFQsuaUMhrM5Rp8/As1ohn42eEoI8q0Ozjtv4q MSLiaVz4yvwbsjTvWC1vQUcdxb+oSi43O00JygVxGmodUNe0I+dECAQCgUAg EAgEAoFA0Kyg9wDnMegFwfm3vHnUAoFAIBAIBAKBQCAQCMKA3ArOfNGPht4H nG3gPB51KjjrwlkagUAgEAgEAoFAIBAIBI0Fvjs1dzfffHNT05Yak/SCoN4r NZqL1JQQCAQCgUAgEAgEAoFAEAbUQ/xVrYeovTbZZBN1ztlnmxqWAoFAIBAI BAKBQCAQCBoP+iHQz4+9d3r99e7d2/RRodZke6jDKxAIBAKBQCAQCAQCQXsA fRv+56231KJFi0zfWXr40XNAeg0IBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKB QCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQ CAQCgUAgEAgEAoFAIBAI2jvor/n++++bSyAQCAQCgUAgEAgEAkFz4pFHHlH9 +/dXZ599tvqf//mfRg9HIBAIBAKBQNBCWLFihbp0/Hg1atQo9fDDD6t///vf jR6SoMlQJY38/e9/V88++6yaOmWKuuzSS9WTixaV9i7wwQcfqOeee05NmjRJ XX311Wrp0qVr3JPn+9ljfe2119S0adPUiBEj1LHHHquGDx+uJk2cqJa88IL6 +OOPC90vaE289957auTIkeorX/mK2nTTTdXs2bMbPaRUtLKOYKwrV65UN998 s/mGxx57rNFDardoNjr58MMP1Ysvvqhu1DL1qiuvVM8880yh51Wtm/Lgk08+ UW+++aa655571AUXXKBu/e1v1b/+9a9GD6tp4KPvQ6KV5M/f/vY3Y4O88sor da833njD8ILFX//6V/Xqq68m3v/666+bZ9cDuWhPPvmkmjFjhrr8ssvUlZpf 77jjDjN3Vo7wnMcff1xi3jnRbPJZUAzIenRRl86d1YYbbKCGDB6sli1b1uhh CZoIVdDIP/7xD/XYo4+q8849V/Xr10913203tdWWW6oePXqo2267Lei7wKef fqpe0D7xuLFj1YAjj1Tdu3dXW3Ttqg7Yf3/1iJZrLvJ8/0cffaTmzp2rTjrp JDVey8tZs2ap47Q/vnmnTuY9hx92mHrooYdy3y9oXcybN09tu+226jOf+Yz6 4he/aOI0b731VqOHlYhW1RFvv/22mjNnjho2bJjq3bu32k7Pebdu3Yx9KAiP ZqITfAZ8s6OPPlrtvvvuauuttlJ7aRrAp82KqnVTXvzhD39Q06dPVydqet9n 773VL37+c7Xxxhurs0ePVv/85z8bPbyGIou+D4VWlD/wDXENxrzPPvuoPfbY Y7WL+Trl5JPVjTfeaPxqi5deekldf/316pJLLlnt/v31/Sdrm2bK5Mnm2XEg xgZ/Yfvstuuu6he/+IXaZeedVbdf/Ur9Uv9/+Ja/XXH55Ya2B59wgvHzBdnQ TPJZEAbs+U246iq1/g9/qNb+zneMn7BkyZJGD0vQRKiCRrAvXnrxRXXbrbeq 4487zsgX3oUN8tvf/jbouwD6nDgz+vVIrc/tt+2pdc7D8+evdm/W7+fZDzzw gOrdq5carGXk8uXLTex58eLFatBRR6l1vvc9tfHPfqauveaaXPcLWhfsvZ9+ +ulqww03VGuvvbbx4dmDhw6bFa2qI1atWmX2GMhh2WyzzczYt9hiC2N7CsKj meiE/ec777jDxECtLsEnuPvuuzM/q2rdlBd//OMf1YIFC9RY7aPuuOOOZoxc yBvx3/31fSi0ovxhT5199CeeeEL9+sQT1Q9/8IM2OtpM66mzzjxTPf3UU2Yu yWOwYO+c3+EPcu96665r7JnJN9ygnn76aePrx+2/41Pee889at999lGbbrKJ OvCAA9SM6dPV4489Zs6YzZk9W52q5+9Xmp7Zy/iJ1pu79+hhYuCCbGgm+SwI h8Wav04++WR1xBFHqJu1fEvLc/lU0wGXIB6tOD9pY85KI1mBbGEPGv1x+223 qZ132ql0G4mcQvK+Zs6YoXbYfvu6+jzL9//+9783OmeDH//Y5C+io+z7yJ0b NnSoGjJkiFq4cGGu+wWtC+wOaOi0005Tffv2VZ/97GfNHvxx2i9o5pzAsvm/ DHDeBBtz/kMPqT777tsS9nOro1nohLxQfIpbtc9tdUle/70RuikPoHdyBfCj TtS+l/jvqyOLvs+KOPupleUPNE/u+o6//GUbHZHT8bhH7j8+/8ABA9Sjjz6a yv/sUfTv1099f7311AHad8dnh4YBMRf4jryS2TfdZPbhv/fd76qf77BDU/Fd K0F8vfYH8lc4z/LKyy8b+QbfJAF5BA9DB4I10Yrz4zPmLDRSFMRrDzrooMps pPlaf/fs2bOuPs/y/TxvD/28n260kbp6woTV/oYdxRku4tFWT2W9X9CaYO/9 jDPOUMcff7zJJSTf8Afa1mEPnv0Zzkc2K6rk/9BYvmyZyWNpJfu5VdFsdPK7 3/1O7bfffoX8dxdV66Y8IHZx8cUXi/+eAB99nwVp9lOryp8nHn/c7ItbOuLc AbmBSXh1xQp199y56gSt36gvkFZzAb+Q2j7YPfj8F5x/vpEfcSB2RiyuR/fu Jv+bPHBBdoiv13FBTI79I86g3HXnnY0eTtOhFeenGcf8vJb95PZUZSMR8+21 557B9PnUqVPVJhtvbPLNJmofLfT9gtbE/fffb+LekydPNnszL2sdesghh7TM HnyrgljJsccc03L2s6A4OCdLTm4o/71q3ZQX1KgS/z0eIfW9j/3UqvLnqaee UgceeGAbHR09aNBqZ95dsEd+zjnnmPPq1AP0qbX7l7/8RZ155pnqu2uvrTb6 yU9Mbnc9vK/9zSuuuMLkTlDbTlAemtEvEBQDtVuxP6nfcsfttzd6OE2HVpyf Zhzz888/r/odfnhL+u/skV94wQXmzLrxxydODHq/oDXx5z//uW3vnXwKwP5E K+3Btypa1X4WFEdw/71i3ZQX4r8nI6S+97GfWlX+4L/bXBOuY44+2px7jwJ9 ds7ZZxu/mr1xe/4vDZzzoJ6EPS8/+qyzUnMMn3v2WXVE//7GZmp0bk97RjP6 BYL8IG/m17/+tandQi0JWdPV0Yrz06xjbmX//U9/+pPpDWbrvaT541nvF7Qm onvvFu4e/Je+9CXj31O3WBAOrWo/C4pD/Hfx36MIpe997adWlT8+/jvfRi+y 7bfbzuzVZuEv9uz5jX0+a0GPnXp++T8++EBdfNFFZq9fzhOWg2b1CzoC3n33 XXX/vHmm1wI0Th9F8h+eWbzYnHlgHygOnC9ZtGiRqVnh9nmwfTfoJ0ENbPis a5cu6gytE7iXCx0ZVwcBnUEcZ8qUKeZsy/n6oh4l5ymSzrlkwUf6GUuXLFE3 zZrV1k+CmjXUzSC/hn4vV111lZHX761alfo8zo1xNoT5o/fMeeedpy7X80jd Weo0uvU2Gz0/jOVZ/Vtyr+mHacfPOPEBWXvq0FKPNirn8o45iUaisLnB1MfA jqBm6bl6PHwbfczTzkWVYSMxJurE0T+Ivr3Eb+kJTN8TdIaPPk/6ftaKMfPv rIe1F6mVyhzbOeVCJ+KzZ7nf7bNqkZd2oBHWhjq8i2q9i5EZ9EG68MILTf8h 5inU+4rQaRI4N0d9afK7rr32WsPn9AWCT9kLSKu3UrZcigKZS56gu/duEd2D 79Spk7rllltyvYdaP1xJgAd88hqT4Mv/eXWQL7I+P8l+RlegGy7Tvz/rrLPM meH77rvP1ClIQx5d4cqJ6MW8Mh7OJNo5jruQV9a+ZZ+L/3b/znlv8lItyuC/ NPjQSVXjivPfmT9kHHqFNR8zZozhOWpnp/F/Ft1UVA+CvLKunv9ODjTzEEdf zPc777yTOq7Q3xuaHkLo+yRktZ/KkD9V6LA0/521wc/bZpttTK165taHpi1Y c+iZ/Hme/6P11ze17KjT+78JdM3cQ7+8q4guA3lkeHT8VctWFx3J12vvYO6p rXLKKaeY+oLkYSKnZs+ebXiMXowjfvMbczbFgnmF1uhLRX2NXXfZxZztetjp hwmN0A+yV69exr+wfsZee+1l7FEu9Irbv5ixIMeRR8douUVtbeQXuRjbal6n Vhd/I38mKz7W/EGdDGQg/Qt77r676Rk5TfMQ33baqFGmPmznzTdXP/vpT83/ 7tStm6HBer0O+U54ju+nX+V1+puuvOIKEx+k7iVjpo/qiy++uFp8sMr5Yb3I H7rqyivNenE/NgTPR+bTY3Nv/V76mvLt9KViTZFNLi9nGbMPjbjgN9yLHD71 1FNN3dC77rrLfA/1S/ffbz/jO9bbDwjtv9uaszxz6JAhasKECeoG/f3kfNFL lLnn3FacPvf5fuzlmTNnmnmjNw2xaJ71g+9/36yRnVMufDXoMMv97zj7sXlo BxuPdaH+y3AtH1j3nbUte4OWryu0/MbO2n777c0ZfHrUQvvoobzvC0WncWCu b9Gyjb5Q0Bc8y3OpmcMzoC/0Rly8rky5VA9Je+8WxLsPPvhg47/77sGzPiu0 HCTuMm7cOPM9e2v+4h1x+xfP6vVAD/Tv39/YtL62Txb+z6ODsiDv8+PsZ9YY 2xHdQMyEGkqbbLKJ6bt1qbb3ibElIa+usP0kWKsddtjBXPAFY8dWRiZi52Fb /UbT9q9+9au2+w7R9ME7XdrExoWekWOsi+nXpNefPmJl8V8SfOikTLmQhKj/ Ds3cqW3cw/TYkLv0rOLaTv9/1u4a/a56a++rm0LowSKyrp7/zlzjN9JTG9ra XdtQI0aMMPY5NItfmRV5vrcseiii732Q1eYLKX+q1GFJ/jv2BH/jv7fackt1 kpZf2DS+efMWyC/0F/Xk7TvowbPvvvsamc46Js1Bkn/vi7wyvBEyLIqO4ut1 JCAjoEPmHt8A2Y+98BdNM9iPB+y/v7nsPjUxmAf0vyPTkK+2zyO9FelFbcG6 w7M3aXnMs7lnm623NjFDbEIu/u7GWH63cKHxrckLhq6WvfSS4YN5991naId3 kStMvCtrrJfYGzUrDzv0UCPzGA9+BzqNuBHjp04m/42+xifiHngJ3lwa0+8Q 2UM/J2gaukc2YT8zNsZ+jaZ55Coxqb5ans2dO7fN/q1yflhTcgvO1mtmfb4f /+hH6hTNw+O1vj5S+win6+8Yo/kFPco3E9vspu1A5KSVQ75jRof40IjFKn0/ se4ttY46XOtObFXGjM4mVwp9xVrB2/VqYoT035E1zA11S9Ez9DVlbenNiv9D vThiQHH9YH15BF+K72Pe4DXWgfvIP8J2snPKxZ4J8css939UkHbwD6+/7jrD F9iqtl4MNM+aQ9PkSa27zjrmbyO1LWdtuDzvC0WnURC3O1fTEPY4Pis1bnmn jUPv16ePqSPAO7HXojHvMuVSEurtvVsgp6/T6/N9Lat89+DZZ2cPAh6G1775 zW+qz3/+8+pYbevH7d8Qu+F8/VprraUGDBhgaD8NvvRvkVUHZUXe50ftZ2K5 fBO0x5lLZNZRAwca2QQdsp+EjR0X4yiiK6Brxowtx74G44EfeT9zjU3KhXzg d3aPEJrmu//w+9+vkV+BbEU+4gfwPeyfINvK4L8k+NJJWXKhHlz/nV5Y+BzY 54wN+5X/tf3c6U2FP3KJli1J/O+jm0LowaKyrp7//r81/+vQQw4xc0uOInYR cgP6yuob5f3eMuihiL73RVabL6T8qVKHxfnvfAv7yfAOPipyaXkO392CWCPr j99u30MvOeiBb2T/tug+exRFZHgjZFgUHcXX60gghxyb4Cg9Z1HbDDmKjCf2 uFDLM4DPgawjJkPeBbxYzzYjN4JzmtxT70wEOUvY//A3dG738QA0xt5PD/0O nkN8ZsaMGZn4E9tm5auvmliutW+ofcEePN9B7g30DZ2RS0gsGF/F+vnkx7j0 hz4kbxheRfegJ6OyCL2GjkM/IVv4tqc1z1c9P9wLr8JHVh/gcxFLJn+G5731 5ptGn764dKmJr/N3xowOd/MqfcaclUaQEeho5BX9Z5HNFsituXfdZd7DejGe pPhqKP+d/Cb8IviC/SvkdJTWiFGw/8wcRfV51u8H1A9HltuYEbZ6PWS5Py/t MM/wBPOI7crfsV/4VmLOTy5aZGTvKC2D0TnoGZ6d932h6RTwDfAu72FMrIur C5EL2Ik8BzucGjdurK5suZQE6IS9d3Id6j0vugd/gpbV9fQdNjY2OzxG/J39 Q37LHjw+XBToVHgdH/8Xeh1Y7zRkpf+sOigr8j7ftZ/J0WRPgDrG9B7GbiPG wvwPHz7c0CB+0dChQ03esotQugKaJ5Zm95ug66hdR/yMnF/sH+QpZ0zjztEA fCL8OWQHtFwG/9WDL51UPS7g+u/MNTYDMg+/gDVnDbFX6THHPHNRh4u9rDhb 20c3FdWDRWUdqOe/42/hYwzWdrfN1y7iV+T93tD0UFTfZ4WvzRdK/lStw6L+ O3RGLgOyhu9gf4wci7y+O0CPMT/kzWKf23fZPQZyingncaAQKCrDGyHDougo vl5HAXM1dswYw/folrj8RGQFcRTmOYoHH3zQrGXRNcUvJn+PXFxix3FnPlx/ BbpG3rv5GL5Y4chE9ALxKOSdq4eQDehbYmJWN6PLbVyKe8mlIy5PjIje20nn R+ET8thsTgnnulY5eWtVzg/6m/ifGxclh8XlH76dHDb2E7gnjtd9+RT40Ahn pztttpm5h7yeVZG8PnpJEv+zuoD9wziE8t8f07SOP8OY6E0Sdw4HGiBHEflS T5/7fD8oy38PQTvEtLDZ7F4TPgR2H7SCDIF/oCN0TIj3haJT7uG8JudioB9k WNTe5L/pPcs+JM8xcrBm01Ypl1wwj5xrpC9cXN1eF3F78L50zziP1nPL79i7 QW9GgVwjP3bbbbdV3bt3b6t94Is0+i+qg9JQ5Pmu/Yzsxo6C1t19RuiHHAV8 N+6j7/ETThwgpK6AHjmzyL4vfMjZ0Wisxvg9mp6Ryzzn4L59jc0YBWPA1yPu Fl3TUPyXBT5ysspxRf139jujegl5wNqyL2v5f5j2n+LqgPjopiJ6sKiss4jz 3/kdOp+zGfhLTwc6m1pU74eih5D63gd5/Pe88qcROizqv2+udRLzZnNayX9l f6xobjT+M+fQ8dPZp7bn4W3uETXt0W8PallSr75LGkLK8EbIVtARfb32Dugf ec0cQevk40RzKG1dnDifiXynvWvytciaQkvkZnLmnHwJ9EP0Yk+cMxrf1XYL zyKWx79lBboVHWvlCPI6LoYMf86aOdOc6zX5S127qmnTprU9gzMkxMY4D4xO TAJ8yRkZfCyeQwzV3cOqcn7gHWpEWNmBbInLebNxce7h/FnUvsviv/vQCL1x iaOQl3e7fpYrywDfwTh4Rr082hD+O3F25oXcpp6slZZbSWAdd6/Zbkn63Of7 QVn+ewjaedt5F/t6F114YWK9mRDvC0Wn5J1DV/ApOZFJZwPZx2A/APk3X6+p rT9TpVxa7bs0jVDfIG3v3SLrHrwFfIYO/cIXvqDWX3998744wG/Q8JAhQzKf xUuj/6I6KA1Fnu/az/yWGjtxusJ84157mfvIrbzXiYOE1BUAGcO/8/ck+fSy pgd6LrvjjoJcUGJynNWM1hUKxX9Z4CMnqxyX67/jG92S0J/R5DtoefjDWl41 vnFcbruPbiqiB4vKOouo/07uBvY8NhN5tOTjRMeVF0X1fgh6CK3vfZDHf88r fxqhw6L+Ozl72NF8g/03zv8QE4uLdWUB84E8n6/XgnOuPNe+g4v9fuQJda6S 8jbTEFKGN0K2go7o63UEEOch34O4zFZbbaV+UzvXYe1Gm28ZVy+F2onE+4qu KbKbeijsK0CzyPO4azf9N2J5xEmpjZCnpwv5NOxbWBnC+d4kkCNDjof1W6jf irwgvkmtjDbaWriw7jvdviPQLfGnRsyPkR0XXNAmO+CfOFCbYs/aeMlDeiRS cyqL/+5DI4wL+wObMipjyamj9oWtVcK8P5GQRxvCf0d+9K3pHmolxOUUW/j0 k/H5flCW/x6CdqiDR/06G1OmBksSQrwvFJ1anbPuuuua59XzhZFx2Lbu3kuV cskiy967BbEUeGQ9bV/gw2+uZYwv7XNm79vf/rb6+te/burFxIFzEcQHZs2a lfmMqw/9F9FBPsj7fN/+TeRIWpnBPtCdjv8WUlcA8jg5M4htAy9ik0X9HleG Ya/Bu25uMuDsBLrt9pizlaH4Lwt89URV41qj/nwdmx1+Z92tLL4mRhb76KYi erCorLNw/XdqSlFTm3M85I6zB1gk5znk99rfF6WH0PreB3n897zypxE6LOq/ 99FrR44Ae7tba/lr/533cdYnRN9TdCC0RK4177PnHKwM5Mw5fJknDz2kDG+E bLXoaL5eR8Dr2kYk1kEuuT07Qg0CcuuS6iZZhFpTamWTo8bfOT9C3lTahdyN 2iQ+yOK/U5+VfDHuZW6oXUG8mnzSn2sdzL8jN+m7UA/EswYOGGDuJ4eIGhXW Dq5yfnxlR5qeCu2/R4Es5swNvgX7g+Tt2bqvPMv23IgihP/u5p5Sy7De+alW 8N9D0I7rvyMfyFlJQoj3haJTbAb09sYbb2xswayoUi5ZkKfG3jv1XLOc+cIG 7tu3b9sePHurPnvwnNfdaKON1Oc+9zmjz6PvJEZveFD/LY+d5UP/RXSQD/I+ 39d+Rv5zbtbIQ20/ox8sQuoKgP9EHIXcSr6Fe8m/sGD9yKOgVoHt5QNvzHd4 gxgAe6uclSX/NIpQ/JcFIf33EOPK0v+dPaUja3UJ8BUYYzTOlUc3ZdGDRWWd heu/k3fAfi5xIuR/CD+rHrLq/RD0EFrf+yC0/15P/jRCh0X9d3KBqD3FM6kh QW0za1N37drV1G9zZVgRkC9CjYozzjhjtf1+zht169bNxKKzxqBDyvBQMgy9 zDxzNiDpgs7cuFhH8/U6AtD3zDtnNsg1Ye6Jz7CHw5kj4s5J+x4h1hS6hn/h L85uUbOkTGTx37GVLrnkEjM2G48mfkcek7WN+vTpY2rf1cObzjvhG2pX2jrd Vc5Ps/vv9Pgjp44ekOhu6gPBu+wB2Pywsv33qXptbT0UesjUs1ma3X8PRTu+ /nuo94WiU3gbXQGvZrVpq5ZLANkyevToTHvvFnF78Nj0aaAOFWff+Q016KP7 E/gt1NKBbvP03vGh/yI6yAd5nx/Cfg6pKyyMv1jrPUFeKvsqFpylpGcB4yaP mrwxeJb6QzY2w94O381+VFwutPjv2fx3zmaSB27HRZ3w6N52pv7vOfRgEVnn wvXfkXs2h5d9U/pmldGPOq/eD0EPofW9D6ry3xuhw0C9/u/vaj8Mv8314aEt 6kCGAnY7PIlN5PaYY0+eXmVZYwUhZXgoGYZ8Qp9BP0kX8n+JU9+io/l6HQXY ftQWJT8c3WLrQKD70V3og7jzVCHWFJoaq9/L38k1mRLJFwyNLP47oF4QNA7N UXcCewc5Sh0L3z1l+jOg0y3PUhPYnjurcn6a2X+nLgtyHZsJf4EzQ8QY4Xn3 HFzZ/ju54cQneQa9Wah3mIRm999D0Y6v/x7qfSHoFB2OroB30dvkhn+awf+s Wi4BaD7P3rtF3B58WtyavNtddtnF/Ibe1u55RGwuZB55j9Ez0r7wpf+8OsgX eZ4fwn8PqSsssLHo9cyZXWibe0wtcE3f1BhGVpJHyjln7CS+FRuaelG2Bh72 2qKEM4Xiv2fz39njotcj99r89Wieua9uyqMHi8o6F67/zpl39ua23HJLY/+Q 0wpNFe2hXfR7LULQQ2h974Oq/PdG6DBQz38H5P8w79aHh7bIW0nqk+EC2Yec 9okjkT/Lfq+t7ce1Uw6/MaQMDyXDqLl44IEHmhpeSRcxXmjNRUfy9ToSkJes G3kX5FjYuqDmrISW39RcjPJXiDXl7B3PpsYFcpQaKUX2WtKQef993DhD4+SQ kfsD0GHUouQZzM2M6dPrvhN9ZPPw4RNo2Dd/PuT8NKv/zpoQe6dGYL9+/Yzt 5Nb3rNJ/R37Z2OQB2qZ4KtLDyUWz+++haMfXfw/1vhB0ylioI8OeFPxL7kyW 2mtVyyV8gLx77xboZnJP7R58586dU/fgqfGxj6ZP7ueMH/WpAPYR+23kIb5S x6ZNQ5b8mzw6KAuyPj+E/x5SV7hw6wFz7pk4DLEX9oHpAQQNmVqtw4aZexgD Z91ZX/ZfqB2VFJMR/z2b/07OypmaT7g3KX/dRzfl1YNFZZ2LaP06Yj7IAJ5N bICzqUlxn6woqvdD0ENofe+Dqvz3qnWYRZr/DogrU0PN9iTjQjamjY8878k3 3OB1DhOQT8H+N/EB3rFJjvMlIWV4KBlme9EtWLAg8aKWQ5yM7yi+XnsH8RB0 vNsvEhuQM3EzZ840PZ+JjUX7p1mEOhPBu+xZFd9ai/AxNJq1v2MW/93t9eDq XPJnqGPBv3O+hXrc9WqyMlZqNxs5rOWVK4ernJ9m9N/hX9aAHB4uZGu0tnmV /vt0vTZWnqXZbc3uv4MQtJPl/HuI94WiU9bf7fcz38PeokYT8elQ3+ILu/eO z1yk1yln77Cd7B48cqfeHjw24qGHHmrup7YyMt72osJ+51uK1KxKo/+iOigN RZ4fwn8PqStcUNuAXGPGTW4nPEms5qADDzTn33kH1yRNT+g57Ej6DPPf9JS7 LaZunYX479n897cd+Ui+OWdSokjTTUX1YFFZZxH139k3xA+gZjR8gh9PXu6r BftZhdD7IeghtL73QZXn36vUYRY+/jugrw212O35BWotUFezXq835Dj1O8l3 8YlRocuQhzb/Pc1+iUNIGd4I2Qo6oq/X3oEMvVXLfZffLYi/0IfC9t+kjgg6 34XPmhIjOrS2pkk+FfqOHE7uYZ+bmpT1ej0QeyIvBp8la0+ILP47sWf2w6Bp 5OhrK1eaf8d3IsZtz8Vz3rBeH4wXHN0d7bla5fyEkh0+Y7ZIo5GVek6pG1Pv WdT/7FOr/1m2/05Mskf37uYZ2CrMddKeXyv47yFoJ4v/HuJ9oegUmU/tVv5O rjE6P9pj2AVnh+mlbvu9VCWXuJc4IefPV9ZkTF7YPXjyeO0efFRuu0Ae0l+W e6nvw5zBb+T8Uduu6HlXn/hdER2UhiLPD2E/h9QVLoipsA+EfcizsYUO1/fT 73iZ45O5PhD2MfwyZPBg9UadekXiv2fz35/T+pDa5ewpsdZx8bI03VRUDxaV dRZx/d+RKfCJ7XNPLjE1ud6r8/w0hND7IeghtL73ga/9FEL+VGlbW/j678QP 8c3YH4em4B9ojPr5STFs1oY4JP5hvRikC3xG8rUZCzGum5x6IT4IKcMb5b93 RF+vvQPbjHMQ5517bqydxroSH4Ovdtt1V3Xfvfeu9nf6gu5Vqy+CDLx/3rw1 nsF+0IBaLUYTi6r1UHcBL5yofWrb748eGPBcnBwl74NcMWLA6KysZ7Fc/524 33V1cmnu1d9Lv0d6LnBWw8bckC3wAb1eeQ7na+ZoWzfpzBnyCJ7oXIszf+TU tqlyfrx7V9BjWMuMJNnhM2aLNBpx+0rih+IbRufRrMNOO5l7eBbPjMPzTr+/ vP47+mRoLXZK3Ia4JPMYB3dc6J0HY3rH+vAIIC5KLhP3cXZpwoQJdcfpe38I 2nk7g/8e4n2h6JRxE6u35xvJDaMeJbVtoiAOTS4nsXX2BUJ9iw/YK4Ofiu69 W7h78GuttZapM86ZwzgwbvYKuHd7LcfGjRtn7HbOpNaz/32RRv9FdVAaijwf Hwd/mLF37dJFTZ06NfYdbg8qk6fu7DuE1BVRuD4hvgf1x8lPdPevsHmwd8kf Ze8IXXZ1Qt06i1D8lwU+crLKcWXx37GLqSPIGt+p1zqO99N0U1E9WFTWWcT5 74BcROzoLWt9D6C1aVrvx/Wg80EIvR+CHkLrex/42k8h5E+VtrUF+9V9avvV XKauQEK+Bu8g/sW3cS9nNKCLeZr/4/K+uP+KK64w8m7AkUcaGVgPyF/O2tsz EszT4pT68XHPCCXDGyFbQUf09do7WEfW0/Q0jDnTRGwL2kfv9+/Xr+1spIUb u0zqkeqewYOH0Bkf1nQC603MBpq+5ZZbjF6zPEy/Bs5d3X///abeLjxH3xxs Tc5r3jBpUq6zkK7/zntOP+202DwcYm78jbwb6C26L4ZtS48TYt3Q/KBBg8z3 REGeI3oQH4t9j+hZ0irnx5wHGD26TXaw5xcnI4nFWT0VF2vzGbP1Q9JoxN0f Ir7JXuDLtfqg2A7oec5rouPd+DL2J/Tr2qFPaZuL/FEbZ52dMc4K2GtgHrHH 7F4GNjLjcOeKOWCPEj3CfeQEYS9hG7n1pnx4BJCPyHfad3I2rB5872cditIO PHNibb2RBWPHjEmMe4d4Xyg65TfsL/XWNpmlL/aj2Q/gnfyNWtzk4GALYCs9 6uiJEN+SBvwr+r3TjxU5Q12yohf1q8iF/8IXvmD88i7a9rs9IUeTsQ4fPtzc 9x30qbZRLrroomC5amn0X1QHpaHI89067/VivexN2L0LYiDkgLoIpSvW+DYt Z7DJOE/Iu9mDQ/ZGv4+8elvDyad/cSj+ywIfOVnluFz/Hf5PqiNBLWv2kdEX 8N6qhBqLabqpqB7kniKyDvD/id/Z+eUMr2vrYxPZs/CcleWsAPt00bx3H4TQ +yHoIbS+94Gv/RRC/lShw6J4wOFlK5eos5IE4o3UZ7f3c9aHevSMLy6ejV/I fj17CdA3vJpkj/Be8pKIzeBTXnvNNZnXC4SS4Y2QraAj+nrtHawpNLnhBhuY GGSUHk1scuhQo/unTZ26Wq0BaI6+CvbsEPxE3maU3/gNcg4bAzlNfJC1Iu5E vOfpp54yegO6xxaxeS7wG7Kb+6FfYkLovZ49e5o4cN5+gK7/zniQ2xdqOiM+ SDyNizNh5J/xbuaF81/R74LeX3n5ZfMtm3fqZHLx+Y3bR5Fvom8PYze9HPRz ovseVc4P4z2mFs/lopdGNK+JXi7oeHteiDg+Z8Rc+eg7Zh8awSZw64vw3gP2 39/4iwMHDjQ1tKn/YW0f5AIxcv6dfDIri3kfexrsC9h9YnzaevtMSWCu8WFs zVFkNnPMeVOeib81SNsbnPWxZw4ZP7REzV56VgJfHgFuPSrmFLqr50Nlub8o 7bjnv/jtCSn5Y0XfF4pOAXIf2WXpwtIQ+Yjk4BH/Ra9jS9ILOKrby5ZL7L3v qMfx5S9/Wa2tn72OpqMQ1ze+8Q3T0z1tDx59il3Kfd/61rdMDIFzQz55iWnw of8iOsgHRZ7/gLYnrM2CzUY8N5rDh9whHxP6S5I7oXRFHNin2lX/BntxvJbJ sX3wavyEbYbsivajS7o/BP/5wFdOVjku5Bt2ArIV+Y/Me/aZZ9pyG5hD5CJn mNiXYp+NPfC49/jophB6sKisYwwn185kcXF2EP/U/Q7OuNo8Amxv4oTY2llz W0N8byh6CKXvfeFrP4WSP1XZ1oC9MOL7yCO7LtSZ5wx62lksez8Xc8N5EPZm qQfnwu5vcx9yHRrhPpf/mGP2jIlTMSesLX5zPbulHkLJ8Kplq0VH9PXaO1jT MZrXiCWSG4J8IkZDrjgygJgofWaId/2pZvvBS+QRQbucpyMOa+UZezfYgtgU Nl4CzT25aJF5Nvdwsf7oAPjQ1kdkXZHp0An5ItgaLj/Dg8RFyU+L8nMWuP47 zyQWTc1edMfRgwaZ80b0HIWOoHfOEibltELX5DHTQxSdSK9JZAlzQD1ank2t IOYSmzguzlbF/CDz77nnHiPLrI7igh+RJfRZxbYn5nax1mPuuqKjyRVjb8Ge q0wbM7LAl0aYW+LHjN3uI3Efdga6mvtYM+aQb7Qym5ws7CfsKPYVmO8ees3s vFj5MWrkSGOrZOk9xVzzTnK68FvR5zyP9yK74ZXztUyiFtSee+5pctvQ7/z3 wieeMLLR5/vRN4wd+Ub8nPfYtWE+4T3WA1+dueLKcr/7PXloh++g/wK5cJxV culm4IABRlc9E5OLlvd9oenUgtg5NWSJK9v9E3feqNeNHx0X4y1bLjHer371 q8Z/LvNiX2ZeTM4b/Aedfu1rX2vrjVs0Ty2Ljsijg7Igz/Oxp9jrsrxv15o+ xegO9gkYO7mb5EJCdzZv2cqdc885x+RMW4TQFXFAhpyq/QxqZyfVAsLn5HwN eo09zCQ7sCz+S4IvnSCLqxwXYF8WX5U6/fi92JrsN7MfeoKWF5x3p38TZ5h4 fxzvQ3u+uqmoHrQ2Sh5Zxx4h+5LUz7Q2NRd15Xg+tjq6gDkmb9ies7fzix+L 3YQfWa9/uosi3wvNYGeEooei+v7djP5Fmv2EXAkpf6qwrfFVqYkA3W1VO2Nh n8/Y8AtZO85JuD36WAPO/JxV67/oXqwVfhzPxJ+1vjd+OX1SkaPIPniROBK1 Elh/aJxeqKwbeQvIPWI+rHER3VZEhlctW6PoiL5eewcyFHuNWgnUCiFHg96I c+bMMfEs5pycBzfmhy3wB81H1KhAD/Abe/Hf5LLAJ27cCdrhOcTgyM8ivsOZ nbh9AN6FXEKvEdOG5tAfnD8jv6poPaVo/Tr6my7Tuok8MM4F0hsXXl+g5wQa 87Gj+A7yPh7SfhOxaGTNZM0XPBN6hi/rxc7Knh9sEWTfwtoauxfrjr3KPhyx U/KNHo6s6yPaBiEHgVoSPmPOSiPE7ZBb6H/id5y9RdbZfsW2zsn06dNNbJfe xsw3f4OGWae4d5EzyLvYQ8h6To938i1Lliwx5xs5F4h+srmIvJMzFZwTYn7I 30A+8Tvf72cOeQ75QvBgdG3QU8zxW1pn2HrSWe4vSjusN/fzfdF3seeAzq4X F8n6vjLo1AIa4zwheWnYRtAs9he2EM+tV/M2z7f4ArrhmdjcZV7QS5xtDb2y N2hjlUVqzVtk4f88OigL8jwfPsZf4cydO3biYuQevlnjL2wLfLyHI/wxX8sH 4lpx9b2K6oooWC/8N95bjwaRY9ha7H0koUz+i4MvnbDXWuW4LKAdeAa9RtwD P4N9I/JM0UU8m/20pHzcrLqpiB50kVXWva9pn/eiP6LzSx45f2PueC7vt/QW vQ9ZlkUO5v1eeCg0PRTR93lQz34qS/6UaVszFs6xx9kl9uJ7zPo5spY14N/g kaTf8Uzmw/qJ8Aw6C55iLqAh7mOvllofI0aMMPEAYlLovqQ+anmRR4ZXLVuj 6Ii+XkcAsRAbk8IWYM7gRS4rQ0OAZ8N/xIfRd2lxMOiNNed+/jdPHnQc4urP W58L3vEdXxz4DfPHM3hWlvlrlvnJgqxjrgfmCX0O3cHX0e/h2fZdzHEouvQZ l6ENPS7ONjIG6+MwRta41epqVE07zUCr7ljQ5dg2Nv8j6++b5VtCAZ4jR61R dFy2DqpKx2UdU15dEQW/TTtXgAzjnlaTVc0C+By9xN7UezV9FyLWFUVIPVhU 1lWBZtP7Ver7kPZTFrS6DsMXZtzRHG9onTgL/j3/yz1l0nxIGV4FOpqvJ2h/ yNI/TiAQCAQCgUAgEAgEAkFjIP67QCAQCAQCgUAgEAgEzY8s/d8FAoFAIBAI BAKBQCAQNAavv/aaqW+K/059VurXCQQCgUAgEAgEAoFAIGgeUEeBWqL0LMB/ px8CPQ+pYSkQCAQCgUAgEAgEAoGg8aD3wkUXXqj2228/05Nw/fXXN9c222xj eh/SP4keDVKfVyAQCAQCgUAgEAgEgsaBHgn0JaQHJf0y3evxxx83PbXpOdHM /R8EAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgE AoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAjaI+j3 +P7775tLIBAIBAKBQCAQCAQCQXPikUceUf3791dnn3226f8oEAgEAoFAIBAI BKGwYsUKden48WrUqFGm9/y///3v0t7197//3fS8nzplirrs0kvVk4sWlfYu 8MEHH6jnnntOTZo0SV199dVq6dKla9yT5/vZY33ttdfUtGnT1IgRI9Sxxx6r hg8friZNnKiWvPCC+vjjjwvdL2hNvPfee2rkyJHqK1/5itp0003V7NmzGz2k UlClzGjmMbQSfGRhEXzyySfqT3/6k3rllVeCXW+++ab65z//aZ7P+q5cuVLd fPPNZt0fe+yxoOMXtD7KpvFmRdXfHZIXGynHOyq9VIGqbX2BoKMBmwv+6tK5 s9pwgw3UkMGD1bJly4K+4x//+Id67NFH1Xnnnqv69eunuu+2m9pqyy1Vjx49 1G233Rb0XeDTTz9VL2ifeNzYsWrAkUeq7t27qy26dlUH7L+/ekTrBxd5vv+j jz5Sc+fOVSeddJIar/XOrFmz1HHaH9+8UyfznsMPO0w99NBDue8XtC7mzZun tt12W/WZz3xGffGLXzRxmrfeeqvRwwqKKmRGK4yhFZBFFhbFX//6V3WNtoH3 2GOPYNcpJ5+s7rnnHjVnzhw1bNgw1bt3b7Wd5q9u3bqpGTNmBB2/oDVRJY03 Exrx3W+//XZQXmyEHO+o9FIFqrb1BYKODPaFJ1x1lVr/hz9Ua3/nO8aXXLJk SdB3sH/y0osvqttuvVUdf9xxRk7zrl/8/Ofqt7/9bdB3AeQze93omSO1fLbf tqe2Bx+eP3+1e7N+P89+4IEHVO9evdRgrWuWL1+u/va3v6nFixerQUcdpdb5 3vfUxj/7mbr2mmty3S9oXbD3fvrpp6sNN9xQrb322saHZw8eOmxPqEJmtMIY WgFZZGFRvPPOO+rU4cPN85Fr226zjRowYIAa8ZvfqHPOPltdcMEFZgw/++lP zT12HOefd546T19naN4ZNnSo2qNnT/XjH/3I/L2n/v/ksLAvR77SZpttZv59 iy22UDfeeGPQ8QtaE1XSeDOhEd+9atWqoLzYCDneUemlClRt6wsEWfCpljdc rYS0MS9++ml18sknqyOOOELdrGUa/mVIIKPZgyaf5vbbblM777RT6Tz9r3/9 y+wHzZwxQ+2w/fZ15XOW7//9739vbNQNfvxjY48SP7bvI4cM+3PIkCFq4cKF ue4XtC7Ye4eGTjvtNNW3b1/12c9+1uzBH6f1WHs7B1+2zGiVMbQCssjCIiDX /aRf/1r98Ac/UMcec4ypA2Fz4PHt3333XXN+iPwU67/j27On98c//tHwyOuv v27yWcdfconZ29ttt91M7hJ5rvMfekj12Xdf8d8Fa6AqGm82lPXdSTYj5/xC 82Ij5HhHpZey0QhbXyDwAXLrce1zIW9aBT5j/vDDD9Ubb7yhXnn5ZSPTiE+W haf1OA466KDKeHq+lsfs4dSTz1m+n+exP/TTjTZSV0+YsNrfiD1if3IujDyi PPcLWhPsvZ9xxhnq+OOPNz7L9ddfr36g/Rj24Nmn4Jxge0KVMqOZx9BK8JGF RfCGlmVDhwxRffr0MbFJG6t0cfvtt6uf77BDm/9Ojce4+/D3zzrzTDNO/Hew fNkyk7Mk/rsgCWXTeLMi5Hf72IwhebGRcryj0ksVqNrWFwiSQFyJ/bUThw1T d915Z6OH44VmHPPzzz1ncqSq4mn2gHrtuWcw+Tx16lS1ycYbq8023VRN1D5a 6PsFrYn777/f7B9MnjzZ7FG8rG2RQw45pF3vwQtaC6FlYRTUoeJc7DnnnJMY j/T137Hh79Q6Cx/h9tq5SeJi7OuL/y5IQtk03qwI9d2+NmN74cWOSi9VoGpb XyBIwjPPPGPsc+ox3KFtkFZAM475+eefV/0OP7wl/Xds0gsvuMCc7TT++MSJ Qe8XtCb+/Oc/t+29k08ByM9r73vwgtZC2bYqtT2oWzRr5szEe3z9d8A52HP1 826p8U178RkE5aGj+mOhvtvXZmwvvNhR6aUKVG3rCwRxwC759a9/bWox/GrH HZvGF66HZh1zK/vv9EaiNxjP8vHHs94vaE1E994t3D34L33pS8a/56yvQNAI lG2rknfLWSDOsichi/9O/PM1/TzLM+3FZxCUh47qj4X47iw2Y3vhxY5KL1VA /PeOi48+/FAtXbJE3TRrlnryySfNv73//vvq0UcfVVdeeaWJ81911VWG/95b tSr1efSU5IzN/fPmmT6P1Lu9/PLLTZ1E4vzYHlHYPhPkBFIjHDrs2qWLqZN7 xx13mIuxxdXb4GwzscwpU6aoC84/X52vr8k33GDOFHHepx4Yy7P6t+ReP/74 423jZ5z4gOQnjh07Vi1YsGCNPMW8Y6bexKJFi8zfkc1JsLnB1BmhZydnFM/V 4+Hb6GPOvmM9lMHTjIk6cfQZos8ke943TpumXnrpJdOXzUc+J30/a8WY+XfW 48ADDjDP+smGG5o5tnPK9dRTTxmfPcv9vDeKvLQDjbA21FVdVOu1Sc0o+nZc eOGFavr06WaeQr2vCJ0mgZo51Lsih+/aa681fE6fF/iUve202pFF+C4P2Hs/ U/OAu/duEd2D79Spk7rllltyvYeaMFxJgAfc2EEV8JUZ0CBy9wotb6GJyy+7 zORmPrN4sTnzyByWPYYyaDUJVfOhixCysExk8d+jSPIZsAuwAy7TdHXWWWep iy++WN13332mJkUaqpAXRei/6PiKytM8dlMUoXmvKhovauu0ynfnsRlD86KP HM8rV6ugl9D+ShHaC013eWVQVlu/TDtBUD4+1jT26ooVRhbQB7Ln7rur3Xbd VU3TdLh06VJ12qhRpp5h5803Nz1o+N+dunUzcqZez0joArrlLMbJJ52krtN6 7MorrjBnfPbq3dvUFzt79Gj14osvrlY7g99NmjRJ9erVy/hf1g/ba6+9jL3O hU50+zvze/gOuXWMlm/UHkfOkY9EPx3exd9effXV1cYIHzz37LPqKs3rnPnj fmie5yP7pkyerPbW76VPJd9OX6pdd9nF6FSXrrOMmXfC0/Qu4508jzl6OKEH Jr/h3v79+qlTTz1Vzb7pJnXXXXeZ79ln773V/vvtZ2Qr/J6E0P67rSHKM6md NGHCBHWD/n76FQ0+4QQz97/8xS9i5bPP9//lL39RM2fONPNGr5Htt9vOPOsH 3/++WSM7p1z4atBhlvvfcfZj89AO9hfrcqu2p4afcopZ95133lndoOXrCq0H kfvbb7+9OYNPPWdoH1me932h6DQOzDW5sscde6yhL3iW556g54pnQF/ojTj9 l5fviiJp792CPY2DDz7Y+O++e/CsD2eJsUvGjRtnvmdvzV+8I662z7N6Pdg3 6d+/v7FRyvTjs8gMxkoNm1M0XVJfmPMD2Ev0A2O89Pem/jiyvYwxlEmra3xr xXwYhyKysCqE9t+ZE2xj7ADiY9QJ3WSTTdSOO+6oLtW2OvHUOFQhL4rQf4jx FZGnIK/dBMrivapoPK+t04rfncfODcGLPnK8iFwte97K8lfy0F4ZdFdUBvna +mXZCYJqQe7dJK0vDjv0UMP7rDt8ib4hNrh7jx5qgPaJ+O9dNA/jE3EP9IhO WRrTNxI+oZ8TtAoNsOeJ/Ux922UvvaSu0XyCfCHu2Pegg0ytW2v/whP0ibxJ 8w9yg3dts/XWJraIzczF390Y1O8WLjS8TN40NMg70G/z7rvP8BW9dcilJo7N GCzQtcTqsGesz0cP3FM0PY8fP14dqX2E0/V3jNH8Al/zzd9de23V7Ve/Mna+ 1Z++Y0aWPqB9D+QYMoFxcS9zTL/yKFbp+4ldbqll9eGaJ6kvzJiRIX/4wx+M 3Gat4O16dU9C+u/IOeamR/fupm/RE088YdaWHqX4P9SLQ6bG9fck3uvz/egC vo95w1djHbiPHDN6fds55WI/gxh1lvs/Kkg7+IfXX3ed4YtNta6EJjb6yU8M zbPm0DS5cOuus47528gRI0xcOO/7QtFpFOhBzrqSr4DPSg8p23OKmOx+ffqY OgK8E/0bjRvn5bsiqLf3bkGc/Dq9Pt/Xssp3D559dvYG4GF47Zvf/Kb6/Oc/ r47VdnjcPga2Defr11prLdNvG9ovA748Y4GNh92PHCKmBe0wH3/R8wZvHLD/ /uay+xWhx1AWrcahaj6MoogsrBIh/XfsYOiAtRt91llGPx01cKDRQ8zxNtrG xLaOi2dVIS+K0H/R8RWVp0XsJlAG71VF40VsnVb87jx2blFe9JXjReRq2fNW hr+Sl/bKoLuiMsjX1i/DThBUD3yfla++amJLNqdlvXXXNTEtcinokc1aI0t+ 97vfmdgUvGz5hrwuV8agq8irQcfAC+iwqK2APUxeC/zy/fXWM/G/p7WuckHu COdYeU+9c0Hk6CA/eAa85MYBoUf2xnponuY5xK9mzJjRJs+4F7pFVlq5iEwi NkguCc976803DX+/uHSpOknTO39nzPiF/DbLmHkf8o34J3NLXK6eLY6sRWbA 8yeeeOJqZxzh/bl33WXew3oxHuKecQjlv5MjhF9EntchBx9s7IuonUaMgvgs cxSVz1m/H1A/HHloZTCxy3rIcn9e2mGe4QnmkT0R/o4+4lvZK3ly0SIje0dp GYzcRlbz7LzvC02ngG+Ad3kPY2JdXH2CXEBv8Zzvffe76oj+/VfTfUX4rgig E/be2Quo97zoHvwJJ5xQ1yegBjD2NDxGLHo7rY/5LXvw5DlGgU6F1/Hxf6HX gfUuA1l5hlxC+PMoreujMQXsEfwG9kAWaruqjDGUQatJqJoPXRSVhVUilP/+ o/XXN/s/V+i5Xbx4sbHLiafBa8OHDzffiX86dOhQkz/uoip5kZf+i46vqDwN YTeF5r0qabyIrdPK3+1r54KivOgrx/PK1SrmLbS/AvLSXmi6CyEjfW39MuwE QeOwwpEN0CmxGfje1UHYuNAHcSVonYtYs43R2P4zO/7ylyZGRO/tpPOj0Aw5 ZjZviHMmq5ycMh+5Bh+S30ouD3HvuHMlrj8H78Cfbk4SQCZg01j75pijjzY5 LC7/8O3k1Gy15Zbmnji6zyKLH3zwQSM369ninC3qtNlm5h5yXFZFcu7oF0oc lb9jD7B/GIdQ/vtjWqbgzzCmCdqOiDuHAw2QP4h8qSeffb4flOW/h6AddMTg wYPN37HJiPtik0EryFv4BzpCTod4Xyg65Z67777b5JlBP+iKaCyY/7577lyT e8ZzoB9rb4biu6xgHjnfR1845r4e4vbgfemecR6t55bfsYeB3owCuca5wW23 3VZ179697WygBfOHnseeItfN5t2hb7Gz7H5FFqTxDN88dswYY7eZ9YrJfcPW Yw+FNc8DX74NRas+qJoPQUhZWDZC+e/oaexO5vN/nTPcfCf5KDvoOeW+fffZ x+y7WVQlL/LSf9HxFZWnIe0mEIr3qqTxELZOK353Xv89Ly9a+MjxLHK16nkL 4a9YFKW9EHQXSkb62PpV2AmCakHsZ9jQoWbdyUuB/+LyO9Ar9Krh3IvJ4+na VU2bNq3tGZynIL7EeRn0VRKgbc7N4GPxHGKJ7h6Wj1yD7shd5YwL+SSc54he xOA4z/FdLX94Fjls/JsLeIcaEZb/0ImuTLSwcTru4TxM1GbPIovJ0dm7JhOS 5Ce9HJFLh+pnYoO58gDwHYyDZ9TLdQnhvxM3ZV7ID+rJWmn5nwTWcffdd68r n32+H5Tlv4egnbedd5HXdNGFFybWOAnxvlB0St45dAWfkuOWdF4VP5MzYOSW zddrausmheK7rIBGqG+QtvdukXUP3gI+Q4d+4QtfUOuvv755XxzgN2h4yJAh q51nQw6i+8hNI16+7777qv01fyIbmS+ebWvcZEEaz+CTUXcH3d6lc2ezbtHc f2IK0ENSrK/oGCxC0aoPqubD0LKwbITy36Ep6inF2QWGLvbay9xH/ve9Tsyr KnmRl/6Ljq+oPA1pN4EQvFc1jYewdVrxu/P673l5cbV7UuR4Frla9byF8Fcs itJeCLoLJSN9bP0q7ARBteCcx69PPNGsO2deOP+SBHK7yPGwfE1tVXiHOB+2 ahttLVxY951uHwnolviThY9cg9d20HYJ55zhC/gv7tpN/23zTp1MjI36IMTK XRj+u+CCNv6Df+JAjY89a+PtrW3zRyK1m7LIYux3YqP15CfjwjbgXFw0N54c H+pkWLuMeY+Ls4IQ/jvyg3NPPIOzR3E5xRY+/UF8vh+U5b+HoB3q4FHfxcbD qWOShBDvC0WnVnevu+665nn1fGHiwNidbiw9FN9lQZa9dwtsDXhkPW0X48Nv rmWML+1z1vTb3/62+vrXv27qxcSBvEHiA7NmzWrT18TDOZ+/1VZbmTP63IO9 wj3s6W+o6YQ9+zx96X14hhg/+bXE1hnDb2rnaO0a23MC9epdFh0DCEWrPqia D0PLwrJRRv35KMjjtnPC+c47nXOiVcqLPPRfdHxF5WlIuwmE4L2qaTyErdOK 353Xf8/LixY+cjyLXK163kL4KxZFaS8E3YWSkb62ftl2gqBaZOEHaqdS55F7 yUmhrgWxZPJJf65phn+Hl+lBUA/EdgYOGGDup84EdR6sHewj16glvsGPf2z+ zrkw8lzSLuRMtFeuL/+lyZ3Q/nsU+COcXcK3YA/vN6ee2lbHk2cl7emF8N+p lcM38Qxqg0AvSWgF/z0E7bj6jTNWxICTEOJ9oeiU/DrqrWy88cZGN2VFKL7L AvL92HunZm+Wc7Ho5L59+7btwZMP6LMHTx3WjTbaSH3uc58zui36TuLVhgf1 39za9vZ3+2jaxm5w63Ji01BTlrp3fEdW+PDM66+9ZmL05BTaukPkAXDuL6ne X+gxgFC06oOq+TC0LCwbVfjv6HrOvBrdp30GbAGLKuVFHvovOr6i8jSk3QRC 8F6jaTyPrdOK312G/16PFy2y+u9pcrXqeQvhryQhK+2FoLtQMtLX1i/bThBU iyz8gO6/5JJLzJkY7qfHAftj5PPYXpZ9+vQxtSTq4U3nndAQNVftudA0uYa+ osYjY+DcGTUm8qLZ/Xd6ZpDjQw9IZAk1S+Fd+sHaPKmy/fepem2p/8Ez6AlS rx9Xs/vvoWjHV7+Fel8oOoW30RXwalZ7MyTf+QLZMnr06Ex77xZxe/DY22mg fy5n3/kNNeijtWaIe1OPBrq1tjPvwjci737QoEFrnKPjPvLd6DlHb5+s8OEZ 4gXIIc7IUuOIe4mx892c3SM3t0hMvZX991C0G1oWlo1G+u9Vy4us9B9ifEXk KQhpN4EQvNcoGi9i67Tid7cX/73qeQvhr0SRl/aK0l1IGelr65dtJwiqRRZ+ AFdcfrlZb2gOe4AzI8gT6q/47inTq4AeGJbuR40a1RYXS5Nr0N/YsWPN38kh mxLJIcuCZvbfqclBPI66G/gL5OKy92d9AXsup2z/ndwpYnU8gx4l1A9JQrP7 76Fox1e/hXpfCDpFl6Er4F3OW5Ib/mnMWa0khOQ7X0DzefbeLeL24NP29siJ 3WWXXcxvDjvsMHPezoIYAjKPM+7UrrFAdlHvlt+Q5xZ3fhediO9elv8OiCMs 199MniD8jo3Pb8gdpKcOPkbSGd1QY2hG/z0U7YaWhWWjkf57I+RFFvovOr6i 8hSEtJtACN5rBI0XtXVa8bvbi/9e9byF8FdcFKG9onQXUkZmsfXLtBME1SJz PGvcOLPenIuhpwSgNgs1VHkGdRZnTJ9e953wh81rgWagYd/8ec6vUKeVvhbI DXpa5o0XNav/zpoQC6TmRr9+/UzdDLcubZX+O7xs43QHaBn3VKTfn4tm999D 0Y6vfgv1vhB0yliof8R+EfxLLNqtvZaGkHznA86j5d17t0BPkQtn9+A7d+6c ugdP7js58NzPmTf6xQHOhE2cOFGdccYZxp5ygVykBxQxAs7Nswdvf+eC3xFT yIosOTvIUXTvg/oe8uRsfV1z3k3LZtaQfsBljaEZ/fdQtBtaFpaNRvrvVcsL C1/6Lzq+ovIUhLSbQAjeq5rGQ9g6rfjd7cV/bwS9FPVX3GcVob2idBdSRma1 9cuyEwTVIgs/uP0SXBoh74v6K/w757KoVxmNc7ngnAW1m4080rzjyiMfuTZz 5kxTP5F7fGsX884FCxasdj6nGf13+Jc1IJ+FC/kYrf1Zpf8+Xa+N5W1ic/Vq CzW7/w5C0E4W/RbifaHolPV3+7fM99Cf9DpZXvM5Q/GdD+zeOz5zkf7xnBk9 6KCD2vbgkTv19uCxlQ499FBzP7Vy0em2TxR9e/iWOB+Ic/qcZeV3//3f/21i APhPrg7kd77+k4s0nmF+yBNwe28jM9544w2zZvTyZf8hqY9OiDFYNKP/DkLQ bmhZWDYaff69KnmRl/6Ljq+oPA1pN4EQvFcljYeydVrtu0F78d+rnrcQ/goI QXsh6C6UjPSx9auwEwTVIgs/0M+Y/TDWF3ny2sqV5t/xnYg/23Mm1F92806j eMGhNbcfKnj22WdNvcV6dMgZVXJcuYe42oWah6L1I11w5oU6Efh07n2hbE2f MVukyc+Vek6pA1LvWdTB7FOrW1u2/058rkf37uYZ7DUw10lxuVbw30PQThb9 FuJ9oegUmU/9U/5OvxfqpUfParuglym91G2folB8lwbuRe9y/nxlTcbkhd2D p0a03YOnNnwSkIf0aOXebt26mTmD38hVpUZdXH9WgK2AXdWlSxfz27XWWktt ouUpOXnIh7i+Mr7wifndqnk7zl6DV+kjZPvYUo+n3vfnHYNFs/rvIWg3tCws G7a2caP896rkRV76Lzq+ovI0pN0EQvBelTQeytZpte8GWWzGZvbfq563EP4K CEF7IegulIz0sfWrsBME1cLlB+pQXFenDsu9995r+pTSf4CzGjZWTFwHmthJ 27s8Z4ftt1dztK2bdB6MvhbQR+da3Osjp6cK+2UDajVWTYw50rMRoONO1GO2 /RDplUH8KE5ukCPCN9GfFX2bJ98MfttD812S3PEZs8Wjjz5q+j9wL3Lv/nnz Vvu7258TP9T0t4zMo1mHnXYy9/AsnhmH553+GXn9d2J9Q2sxf+QgMTrmMQ7u uHruvrvZk8z6/RbECMnr4T7T53PChLrj9L0/BO28nUG/hXhfKDpl3CNHjmw7 r0aeFPVd6H0WBTFZcsvYE6IfbKhv8QH7WPBT0b13C3cPHr966NCh6t133429 l3Gzx8W922s5Nm7cOLPvzhm5erY5sH2eqUX1X//1X+qzn/2s2YtHZk6dOnW1 WlNZkMYzxBQ4y3beuefGxhdYH/rUsu677bqruk/zaegxWISiVR9UzYehZSH2 F/N6//33F+rRkASzP1zrf8yFf5nUxzkKfE36HvK7rl26GPqNg9s/ilzw2519 xKrkRV76Lzq+ovI0pN0EQvBeaBqvh1C2Tqt9N8hiM4bgRQsfOZ5FrlY9byH8 FRCC9kLQXSgZ6WPrV2EnCKqFyw/UYTn9tNNiz3ERK+Zv1EuF3qL7Yti29Fwg Ds36cwYUGRUFPZywh/GxhgwevMZZUuh52LBhZjycq0HffVg7E8LziFvCN7fc couhUztuclc5m4ottHTpUrV48WLTexlbnFzWGyZNWoMnTH7N6NGp+xPEpSwf x8UsfcZs/RA3XmnyjebOXe1Zbs4OcXn2Al9evtz8jfgZcofakcgcN86KbIIn XRn11JNPqoMOPNDcR54fvR+zAnuPedyuZgeyvsT5GIc7V8wBe5TEYLmPnCBs GewWt8ZO2vdbvLpihflO+87LUup++d7POhSlHXjmxNp6k/c4dsyY1fqKhn5f KDrlN+z99NY61tIX+9HHaNuAd/I3epUS0x5w5JHGZnjU0RMhviUN+DT0e6c3 KXLG1nwrclFbilx46sPjl7NHHmfbAMY6fPhwc9930Kfatr7ooou883nhUc6+ czaVuf1//+//mff+VPMrsYC0GEAc0ngGvkcnmx7SMbXzoE3qDEGr/fv1iz2b X3QMFqFo1QdV82FIWcg5S/bRmEtsbegldM0gfAJbH43rFG2Tc4baB8zHkUcc kWonsydl92yId918881tf6tCXoC89F90fEXlKQhlN4EQvBda39dDKFun1b7b PsfXZgzBixY+cjyLXK163kL5KyFoLwTdhZKRPrZ+FXaCoFq4/AAdw4fUYuKc FvEoLs5rEbvHziDWRj/j6L4Ya//Kyy8butu8UyeT28Jv3J6C6KDLL7vMxHaI IS3Rz4me94J34GtqOjAe3skziW0RG3r6qaeM/uNZxJKIRdvYH7zG/fAI74CO e/bsafJN4vY3GO8xtbgmFz2ao7Wy6C2B/rV9Xoixc+bHlWe+Y4a36Rljzwth W5Hb684lcoe+MOuus465h/cesP/+Rp4OHDjQ1NDG1rO8iuwn5sm/Yw9aWcj7 iMHRn9bGUfFp652vSwJzjQ9jbUFkNHNMrw2eib81SMs/znPZ84CMH1oaNnSo 6VkJfL7fgtgs77B0Cd3V86Gy3F+Udtxzi/z2hJS8x6LvC0WnALk/berUNrqw NEReHufwiP+yH4Buo7drVLeG4Lt6YO99Rz2OL3/5y2pt/ex1NB2FuL7xjW+Y nu5pe/DEBrEzuO9b3/qW0f3k4SXZL3HgXvwk9O/h2pahph1+/M/02kD/WXIK fHgGvYwPsOEGGxi6j9r/Zo9Efy/7e6x91ho5Wfg2JK2moWo+tM8IIQvtWWZb +5c8zbT+YVmAvYrOsHvDds+LPSWfPfgHNO1aO59nYAtH8zrRMfRaYv2SdEzZ 8gIUof+i4ysqT0PZTSAU74Wi8TSEsnVa7buBr80IQvGirxzPI1ermrdQ/koI 2gtJd0VkkK+tX7adIKgeLj+w7sSJTz7pJEPLRw8aZM6N0AMROmLtqZ+cZH8i H8hjpick+oraOdA/9vCZWjbx7IP79jW0hU0cF6uCrp9ctMjwOrzFhVwgN4T8 Mdu3CZqFB5FH5KQQM7J8ZL+FOOCdd9yxxp4Dsu+ee+4x8XB3fwK5Bj/S9xHb nvjTxVou7brLLqYuo42PYQexr2drSaeNGb7AbkKmuM/iPvb3mJ958+YZW4C5 JY7K2JHt9j5sAGQH97FmzCHfyN/hR3p3IHfJ0SXmz3z30Gtm58XqiFEjRxo7 IsteD3PNO8nbQq4jn3ke78XmIP/vfK13Jk2cqPbcc0+T44W85r8XPvGEkRM+ 30/eFmNHhxFH5j12bZhP+lOyHvjqzBVXlvvd78lDO3wH9UzJj+askks3AwcM MDYWZ9Di5i/P+0LTqQV7PuR5E2O18XB33gafcILxo+P2wYrwnQ8Y71e/+lXj P5d5sT8xLyZ3EP6DTr/2ta8Zfbx8+fLUXF70ZJxPxL9BM+yzkEf/+c9/3tS5 9amnz9z5ygz08pgxY8yeBryIHCLOTs4gcoK9BXiB/dg/JZwbKDqGsmg1DlXz YfQZRWThuzXbi7lARvPt/J5c2jy9CVyQT815Snw8xoYv6H4fNij7QOwrXavt dnRwFNAm+3v22+xvt95qK2MnEJNivTlvSe4o62ZjBFbHnHvOOSafM9Scp6EI /YcYXxF5CoraTaF5LxSNp6GorcO8t+J3Ax87NxQvkgfiI8epnZZXrlY1b6H8 lSK0x1yyRiHpLo8MQu5lsfXLshMEjUO0HsTll1+ulmn7iNoF1EigfyLxpgWP PGJozKf+DT4keR8Pab+JvA/iT5M1jfBMZBa0XW+vBTojf+iGG24wOafEgjjb E3d+FN2F/IJOORMGfRJTpA4m+TBx5zywq4knIjvIZXEvalYgN9mHIy+HflKc V3HveUTzDDE9akn4jJlcyT/o99FbY37kWfw3dR5ZBxsvszm4xFOJ0XL2Fj2F 7mZczB0xgenTp5vcphkzZpj55m/IJdYp7l3Icd5FztKHkbNzaeCdfMuSJUtM DYxLx49XYy6+uC1PkHey58OZGeaHeCg6iN/5fj9zyHPIF6LmR3RtOH/EHL+l bR3miivL/UVph/Xmfr4v+i5iyOyL1IuLZH1fGXRqAY1xro7cLmwEaBZ9ik3A c90+KiG+xRfQDc/EHi7zgl6IF0UBvRLLtrrfR94x1+jzOD+ff4M+bU86cgvQ uWnIIjPgeeIMfNMTNVqZq79xzpw55iwdY4MPstQEyzqGMmk1iqr5MIoistCC NeNd+GzoR+zirDI5CmiV9WC+5+txROeGi1gmchH9EqdPGSfxEc5XRn9HzuWb NVmKHUkN7Ycja8B7+Zb3IudEypIXIAT9Fx1fUXkK8tpNZfBeCBr3QRFbp5W/ G6TZuaF4kXoMPnIc+sorV6uat5D+Sl7a4zvL0HVZZVBWW78sO0HQOMTVc7Q+ F/RHjJNckTz1k/kNNMczeJblCR/Ad8QWfd8PbcJX3M//5skTL4qsY64H5gn5 gmyGn6Lfw7Ptu5jjPPoj77gMbehxrdKynDFYGckYWeMi390IVE07zUCr7ljQ o9jbNv8j6++b5VtCAZ4jR82XjrG1OTOPTo4D82vP1Nua9qHBWO144UdkAt/B lUXudiQUpd2istDKcOgjT1/BVkRZ8iIU/RcdX1F5ar8lr90UGlXo+2a0daqy c0LajM2AsucttL/SjLRXpk0ldkL7QpZ+DAKBQCBYHcTLOZs2evTo2Fo6xPPJ m+cMPOfhiYkLBAKBQCDwh/grAsF/IPwgEAgE+cFZTM6frb/++uqcc85ZrW4i OZ7k31G7jn7w/H/fHl4CgUAgEAj+D+KvCAT/QZZ+igKBQCBYHZwpo+8Tfel6 9eql9t13X1MDhzP0xx9/vOnB3b17d3N+Lk//OIFAIBAIOjrEXxEI/oPXX3vN 2JrwA7VTqQchEAgEAj9wbo4z7baGL/VpZ8+erSZOnGgu6uFRF8b2zhAIBAKB QJAN4q8IBP8H6hhQp5CeBfADPQ7o/0ddS4FAIBCkAzlq6yHb/6aGDnvt1Jht DzX9BAKBQCBoFMRfEQj+D9RKvujCC9V+++1nehhydpNrm222MX0Ayf2kz0Gr 18MUCAQCgUAgEAgErQfxVwSC/4B+AeR0kvdJ30j3evzxx03PYnoLSj8BgUAg EAgEAoFAUDXEXxEIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAg EAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAgE AoFAIBAI8uODDz5Qzz33nJo0aZK6+uqr1dKlSxs9pMrx73//W61cuVLdfPPN 6tLx49Vjjz3W6CGVhhUrVphvHDVqlOnxwrd3NMgcVAt6/7722mtq2rRpasSI EerYY49Vw4cPV5MmTlRLXnhBffzxx7me+8knn6jly5apmTNnqjEXX6xOHDZM DRw40PzvlVdcoZ5//nlzj6A8vP93peY/8al68lnpDyUQCAQCgUBQFujF+YK2 m8eNHasGHHmk6t69u9qia1d1wP77q0e0P9NR8Pbbb6s5c+aoYdre7927t9pu 221Vt27d1IwZMxo9tFKALzN1yhTVpXNnteEGG6ghgwerZdr/6UiQOagWH330 kZo7d6466aST1Pjx49WsWbPUcdp/37xTJyNzDj/sMPXQQw9lfu6qVavU9Btv VKecfLK6YdIk02v4jttvVyccf7xZW55/0IEHqvvuvTf8RwnU3z5Qat4jn6rj RnyidtjrE3X5pP9t9JAEAoFAIBAI2i3w39kPw3c9Uvvv6//wh2rt73xH7bnH Hurh+fMbPbzKgA/A/it7gZtttpmZgy222ELdqP2C9gj2QSdcdVXbeuM7LVmy pNHDqhQyB9UBOfPAAw+o3r16qcGDB6vly5erv/3tb2rx4sVq0FFHqXW+9z21 8c9+pq695v+3d+7PVlRXHv8DZqqm5oepmooTH+MrEiX4qIAjqEREEMQHLxN8 Ex6iAlclUeQhoCjIQwGVSURRGAEFFR+IgIpAFBCVGAFFERFUxCexEk0hd8/+ 7Nx93ffcPn27T/c5HPD7qTqVyOnbZ/fuvbvXd6+11/pDqvN+9NFHZtLEiabr BRc4PzvrcPjwv/32W7Nx40an6Y84/HBz6CGHmNGjRpndu3eX6Qp/fHxjdfvz q2rNwOHfm5advjf/2WKP+fdme8zYqdLvQgghhBDl5B//+If5+uuvzdw5c0yb 1q1z0++1Vh/xqTai2oXNz/6B5S++aLp363bA63d4/bXXzO+svundu7dZMH++ 01NxVOv9jKOpNqftA1EaH374obnxhhvMUUceacaNG1cfy86zhz0q19bUmMGD B5vVq1cnPifnYN2x9SmnuDWB7du3N/qe/UDE1Jx26qnm3nvucTEAIjtvvVNr Hpi319z74F5z1dC95shT9ph/OUL6XQghhBCikiy3er1z58656He08MvWLkcf VRNNtYs9tPgDfwz6HR/ltm3bzLubN7v1G3ykxajW+xlHkjan6QNROjxbzrHP lmbHHGP+d/r0Bt/9/e9/Nx988IHLO/G3v/0t8Tk3bdpkBlx5pfl5s2Zm6tSp Lp6iENYHiC9at26d89WLfPjiS/us3FJrPthuzMo1taZn/++l34UQQgghKsyK FSvMuV26ZNbv2NFLly51uaOeefrpnFtZOkna9e6775qrBgz4Uej3pFTr/Yxj f2zzgcysWbPMcccea37RvLm5f8aMXM75+GOPmf85+WTzSztPH3744VzOKdLz 0SfGDBy+V/pdCCGEEKLC5KXf33jjDReP3LFDB5dHqlpI0i7p98ZU6/2MY39s 84EKPvXx48a5Pe5Ov99/f+ZzsieCePjDDjvM7fmhXoTYN3yyy5iakdLvQggh hBCVJg/9Tl6q66+/3uXz/lXbtlWjnZK2S/q9IdV6P+PYH9t8IPPZZ5+ZYcOG uTmVl37/6+7d5pYxY8xBP/mJObVNG/PYY4/l0FJRCtLvQgghRDz4HXbs2OFi Q//4xz+a28aOdbW/Fj7xhNtD2FR+Keobs99zmf17anzfdtttZtq0ae7vyb3M ntGm/n7z5s0ub9DatWvdv+3atcssXLjQjB8/3sUxkquo1OND2BeJH+2hhx4y 426/3dxuPw/OnOn2s7JvNQ5+g2u8217brbfeaqZNneriaN94/XW31/XLL79s 9Dff2XNusH3wyLx55tVXX3X/Rr7iVatWmXvuucf19b333ut07heffx77+/7a s/Q1cMx62wfEn1IXyZ+Xv8cO5tom2fu/cuXKRHtHydNGfy9evNhMnTLF+cX+ b/Zst5eU2k2l6ndfh45cUeSR5hwnnXiiuXnkSPPUU0+5D31aLD9YHn2VR7uK 6XfGAfedfbajR482EyZMMEuWLDFffPFFk23IMo6TUsp4h2+++cbNS/qBa/ck 7Te0Mnub/b/xYRzxjPKQ29/V9AqO4UPu8bgxy1jl2UFeOWq0kz98rL02+o5a 4extDil1DBbrgyiqbU6Xet+TUur1Mq6puU6fcp2/vvBCdz9+dvTR7v6E44C9 6dyDJHywdat5zj67HnzwQdOzRw93zhOOP94MHz680fh68sknna7nHUOdgT/Y 9pPPLg7GEO9R/m7ixIlurt91551m0TPPuP3zxd6v5L3Pex6U+u6sxPOmwbVL vwshhBBF+eqrr8xjCxa4mrk33nijs/XQ8NS5Pat9e2fP8J4upi159/M31En6 3ZAh5j77t9TcYY/o+eed5/IL4dOg7k6YxwmbBdvlCWuz3fD735tzzz3XnHnm mWam/a33rL2LXd26dWu3v5G62dQA2mZtoKTH0w5slfrfs7+N3YJGGmC1FHmL 0VTEwrLfkXby3ZYtWxpdI3/7mrVTfm9/l7zSxFViRz366KPOJ3eO1aU3DR1q NmzY4I7fY393y3vvOZ1G/efOnTqZDmedZWZbm5NjRli78Mx27ZyNSJ4k/rfd GWc4TRBXK7rUvgZsrD+vX+/iQ8mlxnWTP5l7jV58yNquF5x/vquZTJuaN2/u 7j/2dZy97nPMX37ZZaZm8GAzffp0Vy/51ltuMYMGDnR9fPppp5Wk37neB+y5 uNfY6N5WP9+28xo7PvnQ/qgcUln6Ku92Rel3xhlrN9z3Fi1auBxcxx13nGnb tq2ZMmWK8y9GkWUcJyXteAfGF9qLecr4YuzQ99TPS9tvnJf1LX7jjF/9yrRp 08b06tXLLF2ypP5cX9vnFvqDNTC+4xg+o+xzINQ3IdwP2nfF5Ze7Z92jjzxi nrEaiv6iVhjPOnQNWqWUe52kDwqppjldyn1PS5br5V01d+5c1+fUpSRHPPfj sEMPddfu7wefGTNmmJ1W/yZh5YoV7povtW1q+ctfunOS0551R+ZW//79TZ8+ fdy4YYy0s8/uVi1buuc2ffJ0TC4E5jGauF/fvm7MMZZYG6d2PM9F6lLwjrjD ameendwbNDtrGFxvHvMg7bs2fHdW4nkThfS7EEIIEQ0ac6zVEPgxJk+e7PwI O3furPe/9Oje3e0vxE5CkxWu56M1R4wY4WxCbAx8HvgMOMfbmzaZP1g7Fj2C 36rXb35jFi1a5PxfgI9txn33mT7WDmtudQsxi8f87GfufPgjOZ441YN/+lP3 Hf+NHyjp8cNuuqlBXd41q1c7O4mYS2xS2oeNiC2E7fvfhx3m4jDxBdH+EPQX tiZ2D/YjdhV+uq+sDbxs2TJzYc+e7uP96+Q8fsDaqJdeconTZdiD2EasieAn 6nT22e46+O/21o7C/uQYbGzs2A0R9aKz9DV4W/AWq6u93XvkEUe4WsZ33XWX +W3v3makPf9Ea4thp9IW+hG7Ed9MlMbFJuRvz+7Y0Qyx9v0rr7zi2oRP6D07 tsgpxdpFqfXf0SfkeX7E6iz6nnOc3KqVu9/rrW7hw/eF/p+sfZV3uwr1O+s0 rG/Qz2NGj3YxC9j3jBH6/GRrF6Pxo9qUZRwnJe14x8/5vP13rgkdTBu4VsY5 9bnT9hvahVjm+VY3Mv44rjCemTpe/C5+TbSKn0P0M/9WyOdWR9HP5CW77LLL XH0xrgutTo0w1lLof3RJmJsuaZvRaUn6IKTa5nTa+56WrNeLpuRe0ee0h+vj mtnTMNLOKX8/+DAGvkvoF+Z5RYzFE48/7t55PsYCXzk+Z3zZrGuss9fNMw4/ 9Yn2e45re/rpzicfBeOTtW90OuOSv2ecfPzxx25NhOcm94OxwphivYCxQywC 6y+M8TzmQdp3bfjurMTzJgrpdyGEEKIx+E2xE1hD533t4vgCe454UGxa3un/ ddBBpvcVVzTQlWh87BhsLexhtL+vv+vBBiE2HJv50EMOcT6X16zN5n8fe/Fx azPhd8HmQOeh8fDHvLp2rbMXhlu7AdsT3zV1uJIej33qfQjEA3KN/D72buiX xz4l7vtsa2dzTvpjzpw5DexGYt+x5/pZewVdGoL9z9oGvubV1rbzfff+li3O l+djxw85+GDng2cNgnrEXDt2/5o1a5xfBnvK63zuS6hJs/Y1cM3Y49i2Xkty b7EtiZGlXz7ascPpnI0bNpgh1o7ne86FbczfhqCx7rM2If1y8UUXOVu8UG9i q+Lb4RxZ9r9jQ1988cXuHE3tPc6jr/JuV6jfjzj8cOezutuOWXQB+gVfKDb2 DTfc4NrDmllNTU0jP3LWcZyUtOOddvD8wPfM+MbfG6ddk/Yb/XNRr16RuiWE mF4f215Mv6Ot0ebok+uuu858+umn9d/x3COWmbYwTxnvPJ/StDltH1TjnE57 39OQ97xEA7NO4dc98VtnBV2KxuWc+KHR2FGEOT3Q1cX872hcxtyJJ5zgnpXh XGR83Tl5cv36Luucs2fPdr501n/DfRxZ50Had61/d1bqeROF9LsQQgjREOog Pfvssy6Gm/V+3s2Fvhj++9lFi1x8L+9n4qO9fuc7bBZ8D6y9U3v3u+++i/wt 7EBi833cKXtNPw9i8dGwgwYNct+zToD9xO/QRmwENAzxe97WTHs8Oph9jcQH EmsQtScwtAWxb7Hvfewz55w0caLTVK4PImJHsa/wY9CPDa490G3oAnxbtC/s a9rNnk58SWgLPsRDeB9Xnn0NrC3gr+MYPtQ6pr9C24w2EVvsY0mj7Pk/2Wu9 wI6dFr/4hdsHGrUHkrazNwPbrhL6Pe++yqtdoX7nt9BOjIOwtjRtJ76VvNcc 161rV+fr82Qdx0nJMt7hhRdecJo1D/2OT/Ryqyea0i3EJzMO4/R7eAyx4YX3 mpruPAv5nrVKcjeU0uYkfVCNczrrfY+jHPNyX+p31iqJf/f6PaqWIL5/YtpY h3Dj5amnGh1D3P55dTEdxY6BvOZBmndnpZ43xZB+F0IIIRrCex0tiW1B3HOx vbb4BdkfStzp8hdfrM8rxLo8+wX5e/bRofOLgQ3JfjpsLN7z+B5Z6/d8EtgA xOKxD7Awh1RI2uOxQ9m7yF5FYvyIgyz84ANnf+dB1qbhvMRQ8m+Aj4g8V9gn +FHoi8L8Yvg38JsU2vz007U1Ne6c+FnQuVFx6Niy8+bOdTaji7E+6STni8m7 rwG7jPxD3tbHPg51pMf7KzmGPZ8+1xEwXvg7YnU78xtWrxSD3+/UqVNF9Hve fZVXu0L9zhjCTxY1DojpZr8yxxFjTE4tT9ZxnJQs473+Gup0cB76/YqEuuX4 Fi1i9fubf/6ze+ZdYn+XeOdQ2wL95HOXRcWIp9HvTfVBNc7prPc9jnLMy32p 35lrxJzH6Xe08PVWz8aNlx3bt9cfg+5mb3wUec2DNO/OSj1viiH9LoQQQjTE 25cHH3ywGTduXGzMG+vu6PjQv4pfsFu3bj+8s1evjv29MN4Qe4B1fQ85hsip 4/0t5GKKI+3x2Ork82GPJLYr9nvUp4P9DtsHO4rcVMQnePBbEdOJb6ply5Zm aN3eTd9v2Mr0U5j3CrYH9hn7DtmDWAziSYlT9LYVOY7QeHn2NThb395zb+tj m0VBzq0udefBR7QiyMEV2q/s8ce+TNKecuv3vPsqr3YlrR9HrHCoC8K43DzG cVJKHe9ALmxiB6pNvzPu+Xf2YBfGxhNLT843fsPFPtgx9EpBjHga/d5UH1Tj nIYs9z2OcszLatfv7KMgjoNjyHVHjs9CWLdlTwHHMH5nllm/p3l3VvJ5E4X0 uxBCCNEQ4nTJd3Tsscc6uzUtxPmdeuqpzg7AjqGuUBz4a/r26eOOJ78O+ZS8 fyi0KdgDjo86jrTHk4eYXMLY3OytJE62qQ/2Wbg/lvpC+BmIgfe5f8jxxD71 KK3gSaPfye9PXnqO5TfILUS8Q559DUlt/TjdTV4p+pPvyMHHdRajkvo9777K q11J9TvtJZeAO5/VBWE8bR7jOCmljneoVv1eCH5HNBY504gPHnrjjfV1Emi/ r8GWts1J+qAa5zRkue9xlGNeVrt+Zx/AVXX7AMh5QS68wpgP1mepNUEsO3lM i2nfcuj3pt6dlXzeRCH9LoQQQjQEHcm7mVw3pej3ME9O9+7dXT62OMI4QexC cg/7/Lbl1O/YfORhxj5irz85qkoB/xP2O/syscX4bXxUxx9/vPOxEA8a5ZNK o9+JX73zzjtdWzmeOj3sQ8yzryEPW3+WbRN59viOmnGfxNRpqqR+z7uv8mpX Vv2e1zhOSqnjHapdv1PbkVh66lej2ckrj+6g9rjfu1Bu/V6Nc9r1TYb7Hkc5 5mW163fiFJizvGe5hiv7929UY83nLeD7qJwLnkrr90o/b6KQfhdCCCF+AJ3I uxm7jP2I1G6tTeFzBPQHeYjibPQQ6g9RM8vbl8OHD6/fS19O/Y49OmnSpPo4 zIdSxkeH4K8j/z1x7dRYxubyse74TlgHKcwjkEa/w93Tprn7gt2EXYe/Js++ hjxsfeIu8dHxHXXPyNNXjErq97z7Kq92ZdXveY7jpJQy3qGa9Tt7kvElkh+S XOzsq2aPN3ol3P9ebv1ejXPaU+p9j6Mc87La9Tu+dfZEkZeUnALMW2pOoNk9 fswxnvitYmsjldbv++J5U4j0uxBCCPED2BXkB/J+Afy87G9PAzntyCXM+518 xnOs3RAHNrKPDccOxDaoRPw810quY2rloDepzVyK/8hDm7FdX7D2J3GmPtev 2y9q+4HfohavJ7X/ffJkd0/Ym0hdH8izryEPWx8b3vvnLrRaaF1M7bVK6ve8 +yqvdmXV73mP46SkHe9QrfqduYjPndyQ5PImP12YA72S+r0a53RIKfc9jnLM y2rX78D4It8ftSCbN29uTjnlFFcjkvHKnv7+/fubi+x8nzdvXuw7uNL6fV89 b0Kk34UQQoiGUAc2rOm1PIGmYj8ffhkg/pE8RPw9+xPJY1u4ty8EO2Lw4MH/ 1C/Wfg71S7n3v8+dO9flU+b4wpzLce1duXKls/nxRZA/OazFjY9q27Zt7tzU 08VfXlj3DdLo97AGFH4v7hHk2deQh63/sD2nt+nj9m02dZ6kJNVOefdVXu3K Y/971nGclCzjHapRv6M9mHvEgfNh/akw73Yl9Xs1zums9z2OcszL/UG/A334 tJ3HjOP+/fqZUTffbO644w6nj6mtuX79+kb5FAvZF/vfK/W8KYb0uxBCCNEQ 3rG+7iw1wEaNGhVb+5qasPdZ+9fX8cF2wm/v92pfc801zvYrxl/efNPVFObY sI48lFu/L1myxLRv394dj197vLVz4+wl9pyTuwd7kOOw/Z+wWjqqNi8+KGp8 +brR5L9auHBh/fdp9Dt7I6+++mpnH2N7bX3/fffvefY15GHr45c7u2NH9x1x HPRpMX9cHvodG/eSOu0Urm0Ukndf5dWuPPR71nGclCzjHZLo96T9Rg2r3r17 u+PIt7lg/vzI44jv9furo3TL+3YukWcx7vfIkd69Lkd6lH5P2uYkfVCNczrr fY+jHPNyf9Dv+LE5lr0I5FlgnxHrIdRhp046ewKi6kgWktc8SPPurNTzphjS 70IIIURDyDc2bNiw+j3MxDSSOw2bohDsDeJO8ZlQPxbw1WDntTvjDPf3bVq3 NvOtrVNsHz11sLD5TqjzfX0X1KL7JKUeT3s8duJ1VkP7GrXYW/gWovQmMaPs LRhy/fVujcPXS8L+um3sWPf/C+E81F6mLzucdZZZ8txz9d+F+p18b/fF5Ap8 zv4dtZGp34Qd5v1TefY1JK41ZW37c6yNH2XrYxfW1PnHWG/AN0d/Fb2udu3c sZ07dTIvxNSKLwZ5nfrU5aN2/rjZsyOPy7uv8moX619XXnmlO+6kE080s2bN ijwu1AXEGz8Z+HizjuOkZBnvsGrVKldHijayxrNs6dJG50jab1zztTU1P2i0 6dMb6R00EM8mcnlwXFSesLAeO+fhmVE4JsJxSvu5jlLanKQPqnFOZ73vcZRj Xrr66nZ8c75mxxxjptuxkRV08m/rdHJS/c4629MRax7w5ptvmoEDB7r487Q5 A0Lymgdp3p2Vet4U4+NPjRk0Ir1+Z+2A+bds2bLccuELIYQQ1QB7rfGln2d1 F+9m/CInnHCCGWA1BjVo+Y5awfiL8UegPVYVvJfx11N3Cf89Nh17+aLy5+7c udOMHDnS2ViDBw1yvsgQNO51115bH1s5aeLEWJ9E2uOxHYk3PK2ufhH2DbWM br75ZveOx2Z7/fXX3R5EYja7du3q+sDbKdiy2LSubvGaNY3Oz2+Tz422EOOI Dydsq9fv/O7IESMi9zniS+I7fCfYTO/X+d7z7mtwcfpjxtTb+sTsMx4Kwd/m 9UyhD5GYUPoLG9fHcOAnQyeF58IGJPcUPnqOIx6TdSLWhNLkiXP2a909Z989 duq3dfsx6Qd8o75GdZ59lVe7Ql0Qt46D39b7OFtbjbNgwYL677KO46RkGe8Q xma4vRWLFpXcb7TldqtFWSNi7zV7hYnj5TnEBz8mGqRHjx719RB4puFnDglj 43nW9evXz2x+5x33HX5nxi0519FGYewDa2i0gf9NMwaT9EG1zems970p8p6X W957z90z//yZOmVKqvZEEe6RaNmypZkTUbMd1jKeevaMnKce/NHUjOM6WN+8 f8YM59NmLwF57diLxjrorl273PpLHHnNgzTvzko9b4rx7lZjel/3T/3+b0fv MWMm7zVNhSqQb4DYJuYc65/kTciybiKEEEJUG7xnZ8+a5eLxvN2HXUp8L/s7 WW/Hz4TdS73vQr3Fe//dzZvd+5w9d8SHE4cfxuxhi02bOtX5a1ibf+svf2m0 7zHcG4l9MrCJ2Mq0x/t24FvCn+P/Dluddzx2LO0jH0Dnzp1dDGC4bo/thN15 9FFHOZ9zoc3pfNE1Nc6nRH+GeX5C/Y5uQO+Ot3Y/uQTwPfHBjqPfaAvnZ6+j 1wF59zVwngF1vmA+A4jVt/ZfCDW2WLvxsZjEZ7DnPbT1+D32cfq80tjQ9CU1 ubClR48e7fZ7Yg/7XAvkYaYP8CVRLzgp9Cm6n3xK9CN9RV/gZ8Qn+Nq6dfVr S3n2VV7tet7au17PoV1YqymMMeU4Ymzpa+8fox/DdmUZx0nJMt7RjNQK87kR GBvUVy8cz0n7jXtJ7SqeRZyPNtGP11x9tfuQO3HYTTc533Nb+8zyx6Bd+F2/ D5f1MWqQMf44hnF9odVfaJm+ffuaQVYnYuv/5te/rn8Oorn4d/QAz76kbU7a B9U2p7Pc9yTkPS+J42HM+2crbc667zqMwWDNkedb4XVyHeQ+ID7Ax5ZTz6Uw nwLze4x9BtI2xgzvUv4GbdnRjuFz7BxlDxv7LKgdN2bMGLPipZfq14QKfzOP eZD23VmJ500UDMlnX6w1bc7/3un3fz1yj7lq6F6zc1f83/m8Cb5mAvthmqpV KIQQQuxv4BMhNzD+FO8j9R/szkEDB7rcdsXW1LFViWOkHjg6n9w62MD4XMnT g+/+ol69nA4hli/0CWEfkm+desDYQP53sXv79unj7Dj2A5d6fAh2NTY8djVx o/gewmtFK+E/Jg6S3Mch2LX4UfAdE/+JHsVPRYw714UvD/uLeNrPdjU0MEL9 zm/QH78bMsRpB+Ib2aNIzWlsIWznt62WL7Tz8+hrwJ5cvHixi6Xwmtv3H7Y/ 9a/xBeFXm2Dt1rPat3e+Hu97IfZ9ij3323U5DOlTro9YcGxC9Du2KnYj9jl9 hc/ogfvvN126dHFx4+h5/nv1K6+YXSlsPezXV9eudX2PBuPDNVx26aUu1jas yZRHX+XVLuJn8bX7/vF93qplSzcu8GMxtzgO25s+9ntavEYce+utrl657/NS x3FSShnv/BbaBz0Wjhv64wx7Dvp96dKl9c+RNPeTc+PXQ/v4/Glcd6tWrdwe IHyZ/A19x30mfoU8XqyD+TVH5hSxDfQNWsq3DU2FRqdtjGWujz70+ofaiNj/ /H1TbUY7pOmDPMZpnnM6y3MuKVmvl74jLow1E+JUwjnF9dM+rhNtn8YP/M47 77h92+Tl83U1GGesVbDHnvvGWMI/z1oNazvkxffz9HQ7T8mX/3IQf8SY+dOq VW58hO2M+jBG8NPzHmBNJWr/QpZ5QK7BUt6dlXjehGz9sNbMeWKvGT5+r2nX 83vzH8ftcfqdz1Gt95grrv3eTJi+1zzzfK3ZFZGuh7HOOGJs00fsd/HvKyGE EOJAAv8C+3OJrURrTLbveTQW2gIfTlhjqRi7d+928XQvWruJeDr8PNTHIccR Ni/v1cI4PeIL0S34HIjjDD/YQfhewti3tMdHgb3LOYgnYF8l9ir+CfKnE08b ZTdhh2HfEYtIjit+D1/I/Pnz3X5AbKZiOYQL89dNmzbNvL1pk+sX7EXqvePf W2nPjZ2UREeW0teAfwhfy+q6awg/XBf3mjhO4vuxBdkbGx5Dv2MLch88/A7t eeutt1zuqyl33WUmTphQvweDa2IvAHtl+XviDtBmSXI2FcK9oZ9nzpzpxig+ QPah8vt591Ve7eJaWXdiT2jYl+gLYpTRMvgXsX3RBi8VjO3ltg+xq78oyC1Z yjhOSinjnWfEdju2qCO4vGDc8N/oB+ZC6EtNcz9ZZ0QLEYNM3Dr7f3k++foQ aGd+i7hmvzej8L7ynEPHEuOAH5068GhfdCLjnuM5D5qHuGJipxk7YWxzXJtL 6QNPNczpLM+5tJR6vfQdzxTitmln4TWz75k2flQ3r5LCNW207WGMhefjGcY8 9ePsc/t+YZ4W/jbzlPuLvzpsN/5o4jpYB2d+TrDPRuJAiBVg7Zb1iksvucT5 idHl6GHWEIr5jEudB1nfneV83oT89Rvi5mvN2vW15vlVtWbx8h8+z71Ua1au qTXrN9SabTvsfI7YckAf0B7WhxhTPDub2psghBBC7M/w7kNvoBXwXRTzA8fh 871hZ2Azeru42uDasCFpJ//blK3n9xkCGptrRHPxibvGqPzzHIutT//w+9hY peT7qaa+rr8m2x/YuIwfvxZB39K2PHIacU7Onbbfyt1XpbYrK2nHcVJKHe9p SdNvHMvzCZ2BngifT1w3WrapdvE9Op7r4ByF/cXv+/ZwzVHnK+e93tdzulL3 Pfy9anmG5Q1rEGjcoVavk1+B+cnYZc0Onf3+li1ubz9rJqxlsO5DDj7qT8yO yY2YxzwolXI9b/LEz2H6qNS4KiGEEEL8eElTP04IIcT+D7oa7c4+BPzvSf3T 6HlyDxarTyGEEEIIIcqL9LsQQvy4IJ6e/HQnt2rl9h4khRh89u8Tty+EEEII ISpPmvrvQggh9n/I+Ueef3Igkk+tqbzsxHyTQ4Q68fjto2qMCiGEEEKI8vPB 1q0uv7WvR0T+OiGEEAcu5P2jjhs54qm7Qa468vbjXydfIjn4yC1ILjzyAt4y ZozLaUcOP/IRHig5AIQQQggh9ifwqRAHSd0d9Dt1m6ifTP4iIYQQBybklqO+ CLXRefZTk46akdTv431AzdBzu3QxHTt0cLU1qVlO/Y486mEIIYQQQoj0UJOJ +j49evRwdYkPt/Ybn5OtPUcdZWq9U8unUnnKhRBCVAY0OBqe+mzExHfr2tXt hac+3M+bNXP12Xv27On87tRkIwd9mnr1QgghhBAiX6i3RB1i6n5T0zv8vPzy y65+MTGU8rUIIcSBCfXVqAnP3nbqyPM+WGU/xNFv3LjRfUe9NyGEEEIIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQ QgghhBBCCCGEEEIIIYQQQgghhBBCCCGEEEIIIYQQQhyY/D/EIBVR "], {{0, 1036}, { 1008, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> ColorProfileData[CompressedData[" 1:eJyVVwdYk9caPv/IJGEFIiAj7CXKEAggI4QVQUCm4CIkIYQRQkIQcVtKFaxb RECtaFXEYqsVkDpR6yyC2zouSlGp1OLAhco9GVBrn3vvc7/nOed//+985/1G zvlzjnVmQUIWCgBQkGGXwJ/Dkcv5cxP14UuyVCERS0VCnrRIJBbJ2ZkIVNbp wQ7o1fFlsjwUWuVLi+QJkaGsaWnpLFIPIAICoAMUmPEFChknPj5GZT3y/Lu8 ug5UhOCKm4rrn+P/VQyEIoUAACQe4kyhQpAP8Y8A4GUCmbwIACIb6m3nFMlU eAbERnIYIMQyFRZrcJkKZ2pwtdomKYEL8V4AyDQ+Xy4GQLcV6lnFAjHk0b0J sbtUKJHC/FXFChJk84UQR0E8Lj+/QIWhHXDK/IRH/DfOzFFOPl88ijW5qIUc JlHI8vhz/89y/G/Jz1OO+HCAjZYtj0pQ5QzrdjO3IFqFaRD3SzNj4yA2hPiN RKi2hxilZiujkjX2qLlAwYU1A0yI3YX8sGiIzSGOkObFxmj1mVmSCB7EcIWg JZIiXpJ27jKRIjxRy1knL0iIG8FZci5HO7eJL1f7VdmfUuYmc7T8N7NFvBH+ l6XZSamamDFqsSQlFmJdiJmK3MRojQ1mV5rNjR2xkSsTVPHbQewvkkaGavix WVnyiAStvTxfMZIvtixbwovV4pqi7KQoLc9eAV8dvwnErSIpJ3mER6SYFjOS i1AUFq7JHesUSZO1+WLdsqLQBO3c57K8eK09ThXlRar0NhCbK4oTtXPxoCK4 IDX8eKysKD5JEyeemcOfHK+JBy8BMYALwgALKGHLBAUgB0g6+lv64ZtmJALw gRyIgQi4aTUjM1LVI1LYJ4JS8AdEIqAYnReqHhWBYqj/MKrV9G4gSz1arJ6R Cx5CnA+iQR58V6pnSUe9pYDfoEbyD+8CGGsebKqxf+o4UBOj1ShHeFl6I5bE cGIYMYoYQXTGzfAgPACPgX0IbJ44G/cbifYve8JDQhfhAeEaoZtwa7Zkqfyz fFhgCuiGHiK0OWd+mjPuAFm98VA8EPJDbpyJmwE3fCL0xMGDoW9vqOVqI1dl /zn333L4pOpaO4o7BaWMoYRQnD6fqeui6z3KoqrppxXSxJo5Wlfu6Mjn/rmf VFoIn9GfW2LLsAPYGewEdg47jLUAFnYMa8UuYkdUeHQV/aZeRSPeEtTx5EIe yT/88bU+VZVUuDe697m/14wViUpU30fALZDNlUvE2UUsDvzyi1g8qWD8OJan u4cfAKr/Ec1n6gVT/f+AMM//pSs8DoBfBVSK/9LxbQE49BAAxqu/dLbP4fZY DcCRToFSXqzR4aqOAKhAD+4oU2AJbIETzMcT+IAAEALCwWQQB5JAGpgFq5wN 17MczAHzwRJQDirBarAB1ICtYDvYDb4D+0ELOAxOgJ/BBdAJroHbcPX0gidg ALwCQwiCkBA6wkBMESvEHnFFPBE2EoSEIzFIApKGZCBiRIookfnIF0glshap QbYhDcgPyCHkBHIO6UJuIfeRPuQ58g7FUBpqhFqgDugElI1y0Gg0CZ2JitFC tBQtQ1ei1Wg9uhdtRk+gF9BraDf6BB3EAKaDMTFrzA1jY1wsDkvHsjA5thCr wKqweqwJa4O/8xWsG+vH3uJEnIGzcDe4gqPwZFyAF+IL8RV4Db4bb8ZP4Vfw +/gA/pFAJ5gTXAn+BB5hGkFMmEMoJ1QRdhIOEk7D3dRLeEUkEplER6Iv3I1p xBziPOIK4mbiPuJxYhexhzhIIpFMSa6kQFIciU8qIpWTNpH2ko6RLpN6SW/I OmQrsic5gpxOlpKXkqvIe8hHyZfJj8hDFH2KPcWfEkcRUuZSVlF2UNoolyi9 lCGqAdWRGkhNouZQl1CrqU3U09Q71Bc6Ojo2On46U3UkOot1qnW+1zmrc1/n Lc2Q5kLj0mbQlLSVtF2047RbtBd0Ot2BHkJPpxfRV9Ib6Cfp9+hvdBm643V5 ukLdRbq1us26l3Wf6lH07PU4erP0SvWq9A7oXdLr16foO+hz9fn6C/Vr9Q/p 39AfNGAYeBjEGeQbrDDYY3DO4LEhydDBMNxQaFhmuN3wpGEPA2PYMrgMAeML xg7GaUavEdHI0YhnlGNUafSdUYfRgLGh8UTjFOMS41rjI8bdTIzpwOQx85ir mPuZ15nvxliM4YwRjVk+pmnM5TGvTcaahJiITCpM9plcM3lnyjINN801XWPa YnrXDDdzMZtqNsdsi9lps/6xRmMDxgrGVozdP/ZXc9TcxTzBfJ75dvOL5oMW lhaRFjKLTRYnLfotmZYhljmW6y2PWvZZMayCrCRW662OWf3OMmZxWHmsatYp 1oC1uXWUtdJ6m3WH9ZCNo02yzVKbfTZ3bam2bNss2/W27bYDdlZ2U+zm2zXa /WpPsWfbZ9tvtD9j/9rB0SHV4SuHFofHjiaOPMdSx0bHO050p2CnQqd6p6vO RGe2c67zZudOF9TF2yXbpdblkivq6uMqcd3s2jWOMM5vnHRc/bgbbjQ3jlux W6Pb/fHM8THjl45vGf90gt2E9AlrJpyZ8NHd2z3PfYf7bQ9Dj8keSz3aPJ57 ungKPGs9r3rRvSK8Fnm1ej2b6DpRNHHLxJveDO8p3l95t3t/8PH1kfs0+fT5 2vlm+Nb53mAbsePZK9hn/Qh+oX6L/A77vfX38S/y3+//Z4BbQG7AnoDHkxwn iSbtmNQTaBPID9wW2B3ECsoI+iaoO9g6mB9cH/wgxDZEGLIz5BHHmZPD2ct5 GuoeKg89GPqa689dwD0ehoVFhlWEdYQbhieH14Tfi7CJEEc0RgxEekfOizwe RYiKjloTdYNnwRPwGngDk30nL5h8KpoWnRhdE/0gxiVGHtM2BZ0yecq6KXdi 7WOlsS1xII4Xty7ubrxjfGH8T1OJU+On1k59mOCRMD/hTCIjcXbinsRXSaFJ q5JuJzslK5PbU/RSZqQ0pLxODUtdm9o9bcK0BdMupJmlSdJa00npKek70wen h0/fML13hveM8hnXZzrOLJl5bpbZrLxZR2brzebPPpBByEjN2JPxnh/Hr+cP ZvIy6zIHBFzBRsETYYhwvbBPFChaK3qUFZi1NuuxOFC8TtyXHZxdld0v4Upq JM9yonK25rzOjcvdlTucl5q3L5+cn5F/SGoozZWeKrAsKCnokrnKymXdhf6F GwoH5NHynQpEMVPRWmQED+wXlU7KL5X3i4OKa4vfzEmZc6DEoERacnGuy9zl cx+VRpR+Ow+fJ5jXPt96/pL59xdwFmxbiCzMXNi+yHZR2aLexZGLdy+hLsld 8stS96Vrl778IvWLtjKLssVlPV9GftlYrlsuL7/xVcBXW5fhyyTLOpZ7Ld+0 /GOFsOJ8pXtlVeX7FYIV57/2+Lr66+GVWSs7Vvms2rKauFq6+vqa4DW71xqs LV3bs27Kuub1rPUV619umL3hXNXEqq0bqRuVG7urY6pbN9ltWr3pfU12zbXa 0Np9deZ1y+tebxZuvrwlZEvTVoutlVvffSP55ua2yG3N9Q71VduJ24u3P9yR suPMt+xvG3aa7azc+WGXdFf37oTdpxp8Gxr2mO9Z1Yg2Khv79s7Y2/ld2Het TW5N2/Yx91V+D75Xfv/7Dxk/XN8fvb/9APtA04/2P9YdZBysaEaa5zYPtGS3 dLemtXYdmnyovS2g7eBP43/addj6cO0R4yOrjlKPlh0dPlZ6bPC47Hj/CfGJ nvbZ7bdPTjt59dTUUx2no0+f/Tni55NnOGeOnQ08e/ic/7lD59nnWy74XGi+ 6H3x4C/evxzs8OlovuR7qbXTr7Ota1LX0cvBl09cCbvy81Xe1QvXYq91XU++ fvPGjBvdN4U3H9/Ku/Xs1+Jfh24vvkO4U3FX/27VPfN79f9y/te+bp/uI/fD 7l98kPjgdo+g58lvit/e95Y9pD+semT1qOGx5+PDfRF9nb9P/733iezJUH/5 HwZ/1D11evrjnyF/XhyYNtD7TP5s+PmKF6Yvdr2c+LJ9MH7w3qv8V0OvK96Y vtn9lv32zLvUd4+G5rwnva/+4Pyh7WP0xzvD+cPDMr6crz4KYLChWVkAPN8F AD0Nnh06AaBO19zz1IJo7qZqBP4T1twF1eIDwK4QeGVeDEAMPKNsgc0eYhp8 qo7qSSEA9fIabVpRZHl5arho8MZDeDM8/MICAFIbAB/kw8NDm4eHP+yAwd4C 4Hih5n6pEiK8G3zjqEK/3DEFn8u/AWYai14= "], "RGB", "XYZ"], Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{253.3828125, Automatic}, ImageSizeRaw->{1008, 1036}, PlotRange->{{0, 1008}, {0, 1036}}]], "Input",ExpressionUUID->"45745601-6db0-\ 4b70-9341-555e7abea2c4"] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["The two-site Hubbard model", "Section", CellChangeTimes->{{3.770740437444803*^9, 3.770740445816039*^9}},ExpressionUUID->"3294b450-814c-4252-b8db-\ ce6dbf524a45"], Cell[CellGroupData[{ Cell["Notations", "Subsection", CellChangeTimes->{{3.770738378880746*^9, 3.7707383816827793`*^9}},ExpressionUUID->"8a627e6a-7231-48ee-864d-\ 8b72abff9de8"], Cell[BoxData[ GraphicsBox[ TagBox[RasterBox[CompressedData[" 1:eJzsnWe0VFW27+947364Y/SXvnd0376tbbqmVgERUbJIzjnnnJEcJIMkyVmy IlkkRwWVIBkRRBElGBFUDG3oVtvW9dZv9ln1NptdtXfVqToH6PkfY0Odqh3W XmHO/wxrrdtad6/d/v/827/9W+//sP/UbtW/VK9erQbU+a39o1633p06dGvX tlK3Pu06tOtVuPX/tV/utf/8lz3/3+1no1AoFAqFQqFQKBQKhUKhUCgUCoVC oVAoFAqFQqFQBODXX381P/74o7l06ZL59NNPzVdffWX++te/mh9++EG+z43y 8OwvvvjCfP3117ly/59//tl8++238rv34Lu//e1v8ru90ZXXfPPNFdf4j++/ /978/e9/N99/913ouRy0RbreK+x63o3rP/vsM3Px4kXznS1jMvjHP/5h/vKX v8g9+Jyuc69VZLovZwf/sP31O18fpH//9NNP8jv/B/XdX339Pgi//PKL+SGr L9HGqZ6TbqTaHkHX/Sv033TjWqwz5O/7779v3n333bjH6dOnRV5GBePstL3u o48+kjEQD4y3c+fOmQ8++CBpWRwP9OPz58+bixcuxMZ6dsH4YFy88sorZuKE CebJsWPNM888YzZt2mS2bt1q3njjjbQ8JxlQd/v27jXDhw83c2bPzpX7f/nl l+aVl182C+bPl3qZNXOmWb58uVm/fr3ZvWuXef3oUfPee+9Jf/jVykPw+eef S53NnTPHTJo40cy29+aaFfZYvmyZWbJ4sfy2ds0a6XerV6+W+y6y9f3sokVm 9lNPmcmTJsk5nPv0woVmxvTpZrNtiyiyOzv1hkyn/Dt37jSL7bOn2+f279fP PLdyZVJcEvnAu4y1/Yg6TNe51yoy3ZezA+wF+vLCBQukjz81a5Z58YUXRMbQ 3z768EOz0rb/zBkzzJTJk80zTz9tDh48GKk/IPN2795tnhgxQuRJquekG6m2 R9B1/wr9N924Fuvs1VdfNWVKlza33Xpr3OPOO+4wffv2jXzPjRs3mtv/939N 3bp1zVGrS+LhpZdeMg8/9JCpXKmS2b59e7bfBfuVMd+wQQPTtUsX4UDpAFxr xYoVpnr16qL33nrzTdGF7dq2NVUqVxY+4S3D3xJwp3QBfTbLyrQihQub3r16 5dr94ZejRo40t9x8s2ncuLF5accO8+KLL5p58+aZ9u3aSVvMt5/ft3wCbs1x 6tQp0717d3PH7bebjh06SB/ct2+f/L9l82YzZPBg071bN7NxwwbToX1707lz 539yDdsG/J3nvvtML1sm6p3nNGnSxHSz51P36XqvIMj4fvZZ0Rc/Wr6KPwIu 0atnT/Pxxx9Hvg8cd+qUKebx/v3NJ598ctlv/v6T6NzrBZnuy9kF5Rs/bpy5 8YYbTLNmzS5ra/rzgQMHTM2aNc0D+fObadOmiS0TBfg1J9u+VNi+97ChQ1M+ J91ItT2CrvtX6L8Oqcr+62HMHz582DRq2NAUK1bMFC1SRGT0DX/8o/nf224z BR98UL5/pEQJM3r06CuuhY9jo/ntwPXr1pk/3XijqWH17muvvRY71w+4Q/77 7zdly5QxL1iOH3T/KDYmbfChtQv27NkjOofxXqd2bdH36cA777wj+qt1q1bm Kw8/fNPef8iQIWbZ0qXyNz77kydPmpetjZ4ToG7rWa6WKdkb5f6MAfwIcM1h w4Zd9htcev78+SJXWrZsKf4F2hP/xFNPPWXy5skjvgU/8I9t2bJFfAxz586N +cLQ4xPGjzcFCxaU+zpg/+GziDqGU603bK2uXbuabdu2xb5DZ+CritJPvWDc +H2W8fpP0LnXGzLdl7MD2nbNmjXm1ltuMX379Lnid3yqPXr0MKUefVRsqGSw 3/LnmjVqJOQIUc5JN1Jtj6Dr/hX6b6qy/3oZ88jBC5b/EIPATsRnD4+oWKGC yHK+53D+FcYU/itiEW+eOCH+hnfsdfBmZw86HlG9WjXxyX1g9cLbtq7OnDkj 9/kly8cdj0e4MuFP4BmMU66LV6/YA3CWe/78Z3PTTTdJ+dPJI44dO2bq1atn 6tvjXcspfskqB+XctWuX2Mn0B8qLLu3Xr5/oFqfXXB4BehA/qd9eoT6oU87h HfmfPAx/nNXlaFAXHNjvlMs7ZqM8i3LhL6W9XLzXcbaw+/vB84hJBPEIgM2O LXd/vnxm0MCB8iyeDT8I4hGUidgg59Ff4LkO8XgEfY82iscjoryXy3ug3jm8 +RaufeBLVatUEZ8JdctBmbinq+cobcn/xNxcG7h6DOo/Qef634n7f/PNN5f9 HrVPAe7Pu3xJDN4+98cQezpRH0tnXw5ry6D3pmzfZOXf0IbufJe74PpIonEQ hHVr14pvljiWH8Tu8EmVLlXKbLZ9I2oZwP79+4UjDLX2iLyXrVPqNdlzwtol 7J3T0R5B18Xrv5SFuuH5lJvPXM95Toe6vkNdOp3h7plorEZt12TGSKJ+l6rs z80xn0lQbuJa6GGvL8ELZDzxQHQ//Bx/9r333it+gKP2fMrreATjauCAAaZ8 +fIS58C/gQ8cXgKCeATvjF8c/yF+Qu5P7IPr4BP+vD3w+uuvSxyjaZMmpoy9 V7p5BHKiT+/e5j77nj26dxdO5PoudYY/j35CnB7dyDjCfjlhORDt/vbbb0uc f+nSpRLj3LFjRywfhL6ELwUdRcz9rNWdq557zjzxxBPCT1y+En2EZyBTuA/+ dWKy6DU3ZsOeRZ/jWfxOnAB/Cn558gxc7mCi+wchjEeAI5YLwCmJX726Z09c HkHfwfezI06MKx6PSIQo9UYu3eeW78B5iVtNsmVaa/UG7QoYj8hHfBGFHn5Y 4r/UH/ciZk4cE74TpS0Z35QH3xnjSPp01rv5+w/cKOhc7kHZ+J4yzJkzxyyz z6QM1G3UPgVod57D9UuXLBHf2gFbV/GQqI+lsy8HIey9AXJz08aNZsqUKeaF bdvkGsYvz5k6darktiQaB/HyGpLhEVHK4EAd1LAcgfcmtkf/Hm7HETKUOop6 Tm6M/bB2jNfX+Z78EsrCNehSfHyMO+k3Z89KfTEGx44ZYxYsWCB2q1ybYKwm 067JjJGwfpeq7M+tMZ9phPEI5Dz+F/zU6I0Klh80qF9f+MFNf/qT6HL6pOMR cADs0JKPPGJKFC9u7r7rLvEZkDNEHft5BHVFLiP+QXgH8ZRKFSuafHnzyrWD Bw0y31mZHg9c/5ytu3TzCNqI98ZHQzkqWX24atUqkReOJ8Mz8d+gK4nVw5Vo O3IwH3vsMYlx0s95zyaNG5t1to4A3HLhwoVSp9wf/YisadWypcglcvgAzyKH a6TtF/QXxuGoUaOkPG6shz2L+AB6j37LWCcW0LJFC/HVvvXWW6H3j1c3YTwC mdDTylniZugpxyPgZUOHDpXnISfgEPS/wYMHB94nFR4RVm/0ab4nj5Oxjkxb tGiRKVe2rBn35JPSrrwj7QlfoE1W2nGJrDt86JDwZOfPjtKW8HDkHnk1cCvn bwnqP9RJ0Ln46qZPmyY5IshK/DEzrPxG1yAzaOcofQrgT6Q+Dh44IHzp+eef l3PjIVEfS2dfDkLYe7u8anQMMmXA44/L34xRfEjFihY1Y6xeSjQOuGcQ4BHY TV2sveR8tO4g7kDc0/GIKGVwQAdXq1pVyjHC8lN8drVq1hS+ShmRp1HOyY2x H9aO8fo6djl6nrw8xhltSnnwtzCWOnXsKNzhaXvvcePGiZ5hLIaNVeKhUds1 al+N0u/wC6Qi+3NrzGcaYTyCcbphwwYpF3Y5cR3kKbyAa8ip42/HI+695x6J 6dFmZ06flms4jzFw/PjxK3gEPnDyMMhvwI/H+CHPBF4PJ6loOQVxhHjIFI8A 6BL8LeQFkkNyvy03+g7fu/MtEV/h3QZZvuOAHdveyhjqDVmCrde4USMZew7U I7kX+FNcDhdyiP6A7ct7kSNOXqfXloGbMhbdWI/yrGOvvy7xGdoKrgufY7xH uX+8egnjEa5d4YPkKDoegX2HDOhmx1pHKzvgpMjGXnGelyyPiFJvvD/2AjyH Mcx43GvrEflDebArgCszbeLuxXhAnnn1R1hbAuTvePseXjkBgvqP/1z6Gu3L efR1B9qyZ48e0u+RM1HKAbZt3WqaNW0q74xcQxZj88ZDWB9LV1/2I+p7g0OW 39W2fzsd7sqAbnE6PGgcJJozBo/AVsIe4nneg3chj8zbD6KUASDjkGvwE/d8 bFL6HtyB3J8o5+T02I/ajvH6OnnXnEMuxSlrswP+b9umjaldq1ZsDhzy9bGu XUXuUtawsZpMu0YZI1H7XaqyPzfGfKYRJa6B7IQb0bfhovgIypUrJ9e4/AHH I8paHUGMAtDvVltbB05f2vYzeJifR8CL6RM333STzI1AV8BLB1ibDx0k9uyy ZXHLn0ke4QAPJEcQHwu8u3nz5jH5FdQnkM0S97B9A76OH4N2xaZwIC+lrR2P jEkXL3ntyJF/5iv17m0u2evh2+TDIucdJKfJE4uM8qw3LH/jPsgkh6j3D0IU HkF/GWG5ZoEHHpD+FS+uwZhHNuEbDUKyPCLKeyGLnrTnMGYpCwfX9OvbV8Ye MTMQxCMY38t8PCKsLQG8mudE4RH+c+FkYywn4zx0iQNtj21WxI6RJUuWRCoH wB/BPBvkML5l+k+i+dJhfSxdfdmPqO8NoujwoHGQCC6uwTwjlwvgDvoI90mV R/hzKLkn/no4Nb7wKOfk9NiPel28vg4PwE+AzqO8AF8DeQLoWj4DbHTkP3Oy jth+FDZWk2nXKGMkar9LVfbnxpjPNMJ4hNjkVu7AsdAB6AU4ADo1iEfgc/HO +9xuOQW8objl7uh7P4+AT9JfuJb4B/XjParYMUi9xUMmeAQ8Ev3mja+hP+Ca 8OY/3323+OPc/C9/n+A6ODW+LGJXxLbgyvjDHQLb3zMeJf5q/8duRCc7+Mds lGcFjbOo9w9CFB6B/xFfJe3MfNlEeZbwNHh1EJLlEVHei/rif+SXN5fLj2zx iIiyNYpMIWcZ+Uvfc74SB2IrD9m6Ye5hlHIAYhlrrI2H77hwoUJiF+A7jFcX YX0sXX3Zj6jvDTLJI6LkR0QtAwjiCMgSYtvEi/HNRzknp8d+1OuS5RHMdfTy COxq9C7lRl+EjdVs8whf+aP2u1Rlf26M+UwjjEdgu+GTIe5A3gJjhrgD9RPE IxhXxARd/ilxHOIT+LLpE34egZ8Gvk9uBDlt6BN0ED4u9Db+u0Tz9MN4hFt7 jnhW1DWq4Hy0Hc/2P4tcKmIc+JK470HXJ7L4Jn0djgwXZP0ax8Ow/5LhEXDy x6088vr7/OdEfVbQOIty/3gI4xGMJdZ5eLRkSYkVwgUS8YhESJZHRHkv4nDE Vcjr9a+1Rtz5m6w1BHOCR/j7T9C58KyRI0ea8uXKXZaPyhijP1IW8qyiypS/ 23EAlzhu7RzijtQtOdPYQH5E6WPp6MtBiPrewOnwx68CHpGoDCCII8g72TGD jMWPH3YOdm5Oj/2o16WTR5CjGDZW080jova7VGV/boz5TCOMR8CtyKWEC9BO rJfBeMHW5Br8J8wBdTwCnwJ9jevQw+gRvsfnwHd+HoGeIH7OeK1bp84/uZjt b8RAiJGRw/NmAh9DGI+gntFD5Lq+6eN1ie6Jv5d29q4tRhuyjha+FXJk6Mci O+y4QtZwHXyFdZKw9cjT5Dtiz3Wy5Itbe4Oc3tatW0v7M18F4MOjDpBPxAVn Z8VS6C9wIK6DyxL/Yc0mzpkf4VnkpcCJO3fqFJsLRDnD7h9vjSfJEViyRHjE UI+cc3OQ4H+8G+VwMS70FrnWcDDyoqIC3Ub+9oMFCkgbhiHKe2FLEYskp5c4 HfUId6StWS/CrY8mY8M+Ex5BLrB7d/yJpew4dmuRhbUlEJ/0xIkS26bPOPj7 j+S7X7p02bmUDT5OeadNnRprF77nHRmDyK8o5WCNUXi640WUi9ws5BdxZz+4 D/wtUR+TGG02+3JQX4v63sD5cokdw2N5BjIEOYw8jjcO4oH3ej4rJtvH6j7/ +Y6LPvrooxLHjloG4OZi4NN0QAcstrYZ9gm2Vdg52Dlh7ZLusR/1OmR6UF8n FkJdNvHE8uEO/S2PaGR5hJufwW8DrextaLkB14eN1WTaNcoYidrvUpX9OT3m AZyGucPEXDKxRkUYj4AXkT/LOoTMxWS9QrgO8Y2bsnIaKLfjEaxlhcxH1+Iz vcWOQ+J5rHlGHQbN+4Q7wOPvuvNO8dmRX8T8T3L7WVOTHJR4COMRyHp8HeRK IReiAv1H/iy8Eh5O/eNrIn8WveLuBcdp0by55EyQ6wGnYv1m3h0/Dt8x9rHN 27RpYz7MWg+csUdb4yOEmyN36HvMlyWGhK8DfYwtw3jiN2QX96KOuI7xQ79N 9Cz6Njqjsn0X8lDQy/RJ2iLs/vC+oHWTZB6D1e1wPzgmsoCxf85eD1eGY5I7 RU47z+EacqzIl6CNsT+QA2FrUSKneEeeQSyJHFfq5ecE10V5L9bGgheQy8Oc YfyDW628nzd3rvgf3Jwc7B/6PvXJ/Cy3jwDnk4MPn2DshrUl74puYM1Onof9 6nxj/v6DrKUP+c+lzMgFcrEZb5QDm5DYMfyMc8LKgQzmvVh/lDmEX2TNR8fu po7fDogt0VdZhzxeH+O96F/Z7ctBfQ2EvbfzdXM9egw7D7my1+oYcsGL2naS HA37rkHjIAj0109t25PrjR+W9dQueNbc5/24v5u3NnPmzNi+AInKQF0D+AZ6 k/eij/FOyF34tcupCzsnrF0yMfajXMf8K2Jk/v7LvbDjyJ2kr9DvqUc4aBfb 91gblPdjjGH7YafVsroWe/5la7vFG6v4xpNp1yhjhPeM0u9Skf28X06Ped4H +Yw9jX/LzRtOJ+C4xNywrx7Liiv4+w7vzdpt5ORysK4CYwfd39SWn/g3Zec3 5kJh39AvilvdDb9CF3+bNXcTns17o2cYZ4B3h7d1snwS/oXOx6eHn8ebzxME 2pMxS/mxA+jDXjDXAz8gbbY9yzaOAuZpEAuEP8ONeV/6BpzX6RTAfCbmJMHB aHPeifriPHgpecaMe3KD4CXENdG75I4yTvDxMecHHQyfY34p/Yb6RFbAZ/D5 8Q7cE/sffxUxbcY04yzRs7A9Z2TN7+ZZcFwX28SfEnZ/fyyIPsj7t7N8kjqn nYhLUUf0Ufoq/cGtwwD4zJyvFnaccw3zoIiLhO3fQt+n3htYWwM/XhvLu+GF nwf4372I8l60G+MVXUCfo5+yLq2bK8Y9aEtsTmx11tWiLhnP5Hght8jzwucW 1pbkIrB3CH1e+vXkyTHby99/WM8TTu4/l3GIzKZt6ZfYZuQj0xasIcV9ovQp N5+ZuuQerHVAzh71Fc+WS9SfyQVjr5V09OWguGPYezsgQ/AVEmclhor9R5/j f8Yt+7/EGwd+UJfEoCkj/RWfOXFct78GMgnZRJvha0BuMmcBvZ2oDM42h7+x vkEHq1Ph47wTepF6crwoyjlhcibdYz/KdYxPbCx//6VOGQfoO8YzHJzYEH0d 2YxtSruiO7FF4ATUI2MDeRlvrPI+ybRrlDEC54nS71KR/YyDnB7zvA/3IbZC O7mYUm7A7UcWdQ8R+Al6wvlaoj6D+8Mxw9bXyzTgCc5+YOxgg6PXgsaW7M/H HqCeMru1ybxrTdDuqfiUnB3MPdED/rrJ7rPC7n+tIsp7ufyZqPsjZAJB/ScR 6I+s1f5Liv5J5BNr+zA2v4x4n3T15+z0tSjv7crFvSlblP1X0o2oZZA1MLPW cY2HsHNya+znhszIrbGaqN+lKvtzY8zzvER9TaFQKBQKhUKhUCgUCoVCoVAo FAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqF QqHIFGRdtW++kTXM9NBDj2vjYL1Kjtwuhx566JGZg3Wmc2Pd1lTAmtDsC8Ne Inrooce1cbCvA+vz53Y59NBDj8wc7F/FHnHXAtinln0/7r3nHj300OMaOdiX lD17crsceuihR2YO9r1kn7hrAey59fyqVbLPnR566HFtHOyFyP5/uV0OPfTQ IzPH0iVLQvfFVigUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQ KBQKhUKhUCgUCoVCoVAovGBd7G+//dZ8/fXXlx1897e//U1+N7/+mq1n/Gqv 516s9fnZZ5/JmhXfffdd0vf5xz/+IWuFch8+Z/c8heJaRU6M23QjneNSx7hC cfWANfpfeflls2D+fDNxwgQza+ZMs3z5crN+/Xqze9cu8/rRo+a9994T+fTr L78kff9f7DWff/652blzp1m8eLGZPn266d+vn3lu5Urz448/JnUvZMazixaZ sWPHSrmze55Cca0i0+M2E0jnuNQxrlBcXcA/MGrkSHPLzTebxo0bm5d27DAv vviimTdvnmnfrp1p2KCBmW8/v2/lUrLcX8b7s8+aKZMnmx9/+EH8EXCJXj17 yt4eSZXzwgUzdcoU83j//uaTTz6Jfc9eJthgYecpFNcTMjluM1LebIxLHeMK xdUNxujyZcvMnXfcYYYNG3bZb3D9+dbmKVK4sGnZsqU5ffq0xCmiYt/evaZr 165m27Ztse9+sHwCH2wy93HAv+GVifhvT548aV62tlmi8xSK6w2ZHLeZQirj Use4QnH1g3G6YvnyQHkE8CGMHzfO3J8vnxk0cKD4SoHLe7h06ZIcf/3rX2PX MMa///57kXNVq1QxWzZvNl999ZUc+CiQc/AJ77ncF7nA/9yP77yyj88//fST 5FYgQyn3u+++K2Xu16+fcBPK4z/Pez2xFJ7N/dkv3b8va9SyKBS5jUyMWwfG D2P1S/YvtuPqx6yx6q53v7tx5PQ544d7u7Hncja4Jmhccj7P5zveh3txT/7m /GTHuCtfonGuY1yhSD/C5BE4cviwqV6tmqlcqZJ5dc8e8w97zedWTu3evdvM nj3bTJo0yaxdu1ZyIQBj89VXXxVfRKGHHzbDhw+X+C0xDuK5xDUP23vy7A8/ /FD4BvkTZ8+cMauee8488cQTZsWKFSI3AOMd/sH+ZytXrjTnzp2Tv2dMn27y 5slj6tWrZ9asWWOOHTt2xXnuesrG95Rhzpw5Zpl9JmVwOZ9Ry6JQXA3IxLgF 6GnGEeODvYKWLV1qDuzfL7+hg+EPR44ckfE8c+ZMs2jRIvP222/LdYyf1atX y29vvvmmxDCX2LGEjvaPS3Q7+xA9Z8fYEvsc7rHYjs3h9l24hngF+j3qGAdh 41zHuEKRGUSRR+Rs9ezZ0xQtUsQstXKFsbjomWfkM/YCsqRc2bJm3JNPip+B e3700UfCF0qXKmVW2jF69uxZc/jQITNwwABT6tFHzcaNG8VmWLhwofhfK1ao IL7YqVOnyl7mXEc+JiA3G3lXpXJlkYvIBZ6zZcsWkZHdunWT533wwQdXnAcu XLhgpk+bZnr16iXy7dNPP5U9E2vUqCHyA9smalkUiqsBmRi34OjRo2bUqFHm 4IEDYg88//zzMg4A44ZrGEt8fuONN0zrVq1MmzZtzGuvvSY2AjofHyS5ny1b tDB9+/SRZ/nHJWNy3LhxJs9995myZcqYCePHmxHW3mjUsKEp+OCD4kPBpxJ1 jIOwcU5OiY5xhSL9iCKPGM+jR482+fLmNU9aboDNgXxiTDM29776qsiMBvXr mxMnTsg18P+5c+fKeGW+BkBfI8MYs5s3b5bviH0ii5o2aRLLvcRe4jr8GA7Y JuOtrPHKjgNW1tWqWdMMGjQo7nnYPRs2bJDzsH0csGN69uhh6tSuLTInmbIo FLmNTI3bbVu3mmZNm8pvcAt8Bvv27ZNxtNGOo26PPWbOWDseMMbxCfS2evud d94xx15/3dSvV09yPBlfxBecvy9o/MJZGH/NmzUTDgCwN+AM5cuVM9u3b480 xkHUca5jXKFIP6LII8b4iBEjTIEHHhC/45PWfmEMu73SsWf69e0r4/B1K0tA EI9grC/z8YhTp06Ztm3bmnb2cLHa144cMfXq1jW9e/eOlQF/Ac8K4xH+85Cl Y6ws5Tx8og7ISGyrItZWw6+aTFkUitxGpsYtup35H3AL8qOJE8D/se1Hjxpl OnXseEXe0S9Z+RFvHD8u/oQunTtfUZag8ct4hHM8ZrmJA7EJfCD4DJAfUcY4 iDrOdYwrFOlHFHmEXxL5gf8RvyH2B3lPvySYm54tHvHaaxIP5TkOqfKID6w9 hW+1dq1aMZvLgdjKQwULmmn2nZIpi0KR28jUuCWWsWb1alOhfHlTuFAhM9iO rTOnT8u9enTvLv6IePMk0sEjAH4IykzMISqPiDrOdYwrFOlHmDzCN7lp0ybz aMmSMt4PHToksqRZs2biG/WCXKtv/vIX+ZwTPOKgkzEDB8Y9Dztq5MiR4ifd YeWTA3bUJitfKAs5V8mURaHIbWRq3P79p5+ESxy3Oh7eUNDq386WFzDWiIk0 adzYfPzRR7Fr3fwI7pEuHrE1KyeCvKooYxxEHec6xhWK9ENyFpYsEXk0dOjQ 2PdufhTzLlq3bi3xRda5wc9JbPKREiXMM08/LTmQ+A4Z26wXsT1rDMMjyJeG R7zyyiuxZ+FbLGXHNDIOkKfN/RnXPA+QD163Th1Zr8qB+0+aONFUq1pVZCLg f+wP1sjERpJ5HZcuXXYeZSPHivJOs/aN88nyPXIFf6bz6UYti0KR28jEuGXt S/wOjvfzGz4B9DW5EXwuXqyYmTN7tvzGGIeTEAvBB3Dc8gh4QedOna6YQxk0 fh2P6NKli8wlAZQJGdGoUSPz1ltvRRrj7roo41zHuEKRXsTmVYwZY2679VbT 1Y5ncrrJPzp39qzwePyibdu0Mfv37YvNA2ft3bJly5oyZcqIrxD7Yd7cueJ/ IAcKWYZ8IR8be4j5Woxn5mtxfrGiRUVWMI7xWzKGye06f/682DasOVO+fHnT vn17kXeU871z58yQwYPlmfgykKPkTbVo3tw0twcyh5ywd6y94T+PdXiQEeRl IzMoB7nmxIuZ/0Z5eUaUsugcc0VuI5PjlnUxyaX4ImvthXVr18r9yU9k/ie6 u3jx4pJTwfxMxjhzLPFhwD8qV64suZvkKzhdHm/8wiPIw2hsOQP6nWsYn8zD pEyUOeoYB2HjnPN0jCsU6QXjDB3frl078RHUrFHDdO/e3QwcONAMszYOc7G2 bt162fxygP5n/CID4P/IFtapxbcI8HHutTYOflRsGdbDwc5hbJPXhaxBDh08 eFDmd9ey9gb508znQg5i71SqVEnkAWMcGbd+3TqRi5Rx8uTJknPOXHbmsdWo Xl3kx+ZNmwLPQy6QB05eGXPCsMcWLFgg7+7W2OFeUcqia+gpchuZGreME/p4 G2uvM0Ze2LbNPGPHF/4MfsMWwLeIXnfXs4YEvgZyOpljyZxPxg++ATcHg7EV NC4djyDmgK+E6/EzsP7ED55xGWWMu/InGuc6xhWKqw/we9Zu+cGz3l1OAxuK 5/8YsQxwnK+s3PtFZYXiXxSJxi26mBgDnOPLOOOE6+Eybo3MVOHNj/ghS8/7 16cEyY5xoONcoVAoFIrrG6w3gT+CdW81lqBQKBQKhSIqyJlg/acqWfkU5FMF +SIUCoVCoVAo/GCfD/Y1J5+Cda/IiSDvUaFQKBQKhSIM+CO+/+47mTvKwVoO 6o9QKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUVxtY38XtsaOHHnro oYceeuT+wbpr18q6qqxpt3//ftlXVw899Lg2ji1btpgXXngh18uhhx56ZOZg bRX2m7kW8P5778n+ux3at9dDDz2ukaNnjx5mwIABuV4OPfTQIzPH6FGjZI86 hUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKh UCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQhEM9v9kr7GvvvrK fPrpp+bzzz4zf/nLX2J7kP31r3/N7SLGwF5olO2LL75IeV+0n3/+2Xz77bey X5n34Dvel9/Nr79eec0331xxjf/4/vvvzd///nfz/XffhZ7LcTXVrUKhUCgU yYJ9Sk+fPm02b95s5s+fb8aPG2emTplilixebDZt2mTWr19vduzYkdvFjAH+ 8OyiRWbs2LHmyy+/TOkeXPfKyy+bBfZ9J06YYGbNnGmWL18u77p71y7z+tGj 5r333hNe8avlWODzzz83W7duNXPnzDGTJk40s2fPlmtW2GP5smVSX/y2ds0a qc/Vq1fLfRc984yUd/ZTT8neaJzDuU8vXGhmTJ9uNts6/tXHWRQKhUKhuBbw ndWT26xubN68uWnWtKlZu3atOXvmjDn97ruiI+vVrWuKFC5snrI68GrBxQsX hOc83r+/+eSTT1K/z8WLZtTIkeaWm282jRs3Ni9ZrvTiiy+aefPmmfbt2pmG DRqY+fYze6Pi9+A4deqU6d69u7nj9ttNxw4dzKuvvmr27dsn/2+xPGzI4MGm e7duZuOGDbJ3W+fOnf/JNVaskL/z3Hef6dWrl/AzntOkSRPTzZ6P/0KhUCgU imsJP/74o9lg7e8SxYuLTvz4448v+x0b+ai1y9GF06dNy6VSBoM4TKoxDQd0 N36EO++4wwwbNuyy3/BX4JuBQ7Vs2VL8C9QH/gk4Vd48ecS34Mf7779vtmzZ Ij6GuXPnClcB+FAmjB9vChYsKPd1OHjwoPgsiKUoFAqFQnEtgT3OWzRvbsqU KWO2bdsWeA76DTsdv7wD+pTvL126JIc/vo+OJ0cAnYuu53/O4zuv/z7RfVy+ xnfffSf63uUucA3HTz/9FPvNez++J8eD+33zzTcJuQb5DsQkgngE+OyzzyTG c3++fGbQwIHyfJ4JPwjiEZSFvA3OO3PmjDl8+HDst3g8glyUY8eOKY9QKBQK xTUFdOiqVavMrbfcYtq0bi16Oh7Q7y4P4R/2OnIwd+/eLfkBk6wuJRZC7oC7 74cffih2/uLFiyVGsuq558wTTzwhvn33nET3QR9zD/ILiAnAd6ZPny45BXAR dPKePXvMypUrzblz5+R+8A74w5EjR+SameQlWO7z9ttv/zNnMk4dJOIR4Ijl AtWrVTOVK1Uyr9pnxuMRcJh33nnH7Ni+PfA+8XiEQqFQKBTXIuAFkydPltyA 3r17X5Hn5/wIn168aC588on45+EA5AqQN7hs6VLz7rvvip+iXNmy5sknn5R8 Te67cOFCiQdUrFBBdOa0qVNN61atTOlSpcxzVvfzLHhCvPsQG5g4caLo6qpV qojfv1XLlqZf375yLnyD79HvzubHroc3EH/h8xtvvGFaW37Upk0bc/78+cA6 iMIjyLXs2bOnKVqkiJTV8Yh777nHDB0yxHzwwQdSXvImyKMcPHhw4H2URygU CoXiesJHH31kBgwYYO7585/NmNGjr/gdDoHNP3LkSNHh5AauWbNGdHXPHj1E f8ItyC9s2aKFadCggTlx4oRce/LkSeENTZs0Meezci7wO8Arhg8fLnkZ+BoS 3Qdff/169STXEZ8D16DDATGL8VYnOx6B/4K8xm6PPSbxBMC5cBY4En6CIETh EcQ2Rtv6yZc3r5lieZfjEbfdeqvwHnIkO3XsKOUuXKiQ1FMQlEcoFAqF4noC 8xzQnXffdZfEHIJArIA8TPQs8xfQ5/gL0N/49DnG2b/79+tnRlh+8Prrr8t1 2OZt27Y17ezhch5eO3JE5n6g1+ENYfd54/hx06hhQ9Olc+cryiW+FHuN4xH4 H0aPGmU6dep0Rb7EL9nIjwAXLlwwI0aMMAUeeMDMmT07blwDnsNcD+IpQVAe oVAoFIrrCeQDovOIa3Tt0kXyE4Owfft20aHY3dj6va29TXzhl6w1FYIQyCNe e83Uq1dPro9yn2R4BPfr0b27+COSmcMRhUcQR8HfULZMGVk7IlGeJXwGX0wQ lEcoFAqF4noCtvpLL71kChUqZGrVrGmOW70dBPIGHyxQQHjE2bNn5f9mzZrF 5jM6MN8AbgLCeESU+yTDI8hh6NWzp2nSuLHEa7zviJ8g3lyIMB7Btazz8GjJ ksJR4AKJeEQiKI9QKBQKxfUGYv/kWhLXHzp0qOhnv38AX/0D+fPL2krMpUAX lihRwjz99NOi711u5d69e2NzFZgjQY4jPIL5FYB5FHXr1BF9H+U+8BpyIzp3 6nRFDijnsZ5ktapVzaFDh+TvqVOnmuLFisncD6fviUnAX1zehh/4YJYuWSI8 gvd3cPNWydngPerUrm2223oA5I3wDNaTYh3MZOp6zJgxwsnmzJkT+TqFQqFQ KK5mkOfImo41qlc3E6xexJdA7gQ+euZUMI+iWNGikkOBPidfkvxC1pxgHgZr Ls2z9jk2OvmP2PgHDhwwdSxnaNq0qcyVwK7H91G+XDnTvn178/VXX8na0/Hu w/N37txpKleuLLmX6GCX98D9ydNg3UiuxV/A/Xkm/onixYtLLidzTseNG2ee ffZZ+d0P7oPvYqzV7eRMEtv50NYFa3HhL9m0caNwmLZt2pj9+/fLu3MNvg/y Je66807Tv39/4Sxha1HCV+BFPOPPd99tBg8aJHNfdA1LhUKhUFwPwO+P3sbn gA9h+LBh4i/o16+ffPfMM8/E1rrETmf9Z+YnlHzkEdHd+ALgHYA1HFg7onat WrLO9rq1a805q5exwVmDgXkcL7/8sqwRFe8++BFmzphhqlatKvdYuWKFfOfu v37dOombEI+ZMmWK8B38Ga+88oppYXnHIyVKiK+C+aLx9t9A/zN/lPxR5qNy rx49esh6U/L+llORD+HWxQB8Zm0KuA3XMB+FNTH8sRk/qDvKgn+lTOnSwk1Y 75L1MxQKhUKhuJ6A7Y7eYx3ooDiHAzY2NjX6OztI132896PcxB8UCoVCoVAo FAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqF QqFQKBQKhUKhUCgUCoXiegBrs3/7zTeydhsH68v695+54vxvv73s/ER79eYU KAPr6LKuLOVKJ6gP1rX74tIlWf82N+Hqn7X9L164ENtv6Gp8bm7VG3s0s8cS z01mv2aFQqFQJA/2sGEfu4ULFsja9WtWr064div75zy9cKHsTcs1B/bvD9xv JqfBPnrssTNi+HBZdz+dQGey3x/77MyZPTut904Gsh/PuXNmw/r1ss5/7969 zcYNGxLyvtx8bm7VG1ySfZzY6yjePgaKqx+sJc3eEexbxR5YHOxZwXdemYMN wT7gtDUHdkRUmeT20EzlWoVC8U8wjthr5sknnzQ33nCD7HW3PWufXT+wLdkP hj3l8uXNK3Iau+9qAPvosDdO4cKFzTDPXrvpAHLrqaeeMkXsvXv36pXWeycD 5OlTs2YJT+Iz+way32Gm5V6qz82tesNfwl6NAx5/XPZodGAfQ3xWimsD9DX2 7+7Zs6fsofnII4+Y7t27y3dwCgd0/+bNm0WG0Uf57P09EeAQ7OGNXKOvTps2 zRw9ejRTr6RQXNdg7N19113mvnvvNQMHDAjcn+bdd981j1vZXOjhh2XvOnwX VxP279tnataokXYeAZA19erWzVUewX6EzZs1k72MAT77nNjjNzvPza16gx97 Yxr4VN566y15F8XVC9qJPTe98VU4QYcOHWSfTccLXcyMc5FLXbp0MY8++qg5 fPiwXBu1f3If+DCcd8aMGeb+++8XnqJQKJLHyy+9JHvaVqpY0VStUkXiFV4w vre/+KLpaMczY5Y9ddetW3fFOcRE8CvjI/RyEec/5HfkO/8TUyEewVh21xJH 58BPyfecyznYHGG25H5bZnjE0CFDRDZQDp7hv87JIMqI/MCn4pc7Tr5wDvd5 9dVXTb169WL6MNXyut+5hudSDp7j7sN3/M29uN59x/Hss8/KvsDPr1oVu39Y vYYhUV3wjvGem+h+ierNncM9KCcHdedF1HfC7039uJwY1984h984n3fhPdA1 8Mt+ffvG3iEdfY5zuY97Lp81JyN14Fdcs2aNWblyZWxPbmKpjz32mKlhxzZt Dehf7J+9ZMkS2ZcbmVSnTh1pt1SBLQUXUR6hUKQGeESP7t1lf3tiFqNHjzZ/ t7LYgT178RlOnTrV9O/X7woege44efKkWb16tVm2dKmcS3wEOY1sRRYsW7bM LLY66cyZM2bVc8+Jb3zFihXmayvDnVzg+bNmzTKvHTkSs02wIefPn2+OHz+e 8B3gEciaXlZn7du7V/I9hg8bJuVEDwFkPLmCu3fvFv04d+5cKdehQ4dieSHo MeTVvn375F0oM3kB8CunD1MtL7rphRdekNgAeSbsg4y9tWDBAvluuS3L+++/ b36y9Xns9dfN/HnzzLq1a6Uu8ek+WKCAGThwoMja1+3vYfWaCGF1QR0EPffE iROB94tSb9SRPHPXLjN79mwzadIks9beEw7jfo/yTuj3Y8eOyXlLrS7hebQ/ 70QZeCd0EXXL3zOmTzd58+QRTrM26x2y0+fgLIwJfOBvv/229H/a7eCBA+ad U6eUS6QI+CN9sWjRohKnBEE8gnYjhjnE2gxvvvlmQh7h9Z/RR+NxPeURCkX2 AI8YNXKkyPfixYubOrVrm7fs+ASMvT179pjxVs8ha4N4xBtvvCFjffLkyTJm 0ZVNGjeWc5DXC63OJE5esUIFkc/Er1u3aiV27nNW3mPLofv5neuIjbpnv2TL NszyASdD4gE9gk8FvUW+5aBBg0ztWrUkDjPR6gp0DzbO9GnThGsgfz6z9g/+ TGQUego7Fs7xjJUlI63uohznz583o0eNkriP04epltf9XszKyc6dOon+Qfbx POqH/FUHdBjl5jnoLGK3JWzbuDwFdGRYvSZCWF3AJYKeG28+TFi9UWfkyS2y 90Hv4yMgH5KcHGLbzi8S5Z3Q36PsvQ8ePCjlfP7554Xj4j9Za3kXfaB6tWri 5+a+W7dsMZUrVTLdunWLvUN22pCy9+rZ0zxUsKD0edoKzkq7trJlDeurivig beEEnTt3ljby8wh4AH3xYTuu4bnwtyAewXjnWvoIvJF+AC+FY9Lf/VxCeYRC kT0Ij7ByGdk/dOhQU8Dan+gPxiyy/TlrE6Ij0ANBPAL/dYf27c2GDRtEzqLT GzVsKDoF4KtAFzRt0sSct7oJMJ6R4eTzA2QEerRC+fJmix3TANtw06ZNZsni xaHvwDMrVqxoulj54+TJcWuzNqhfX/gFZaR8tWrWlPdxQB/37NFDuBPnv2g5 ULu2bc3OnTtj58CjyPXy+udTLS/6ihzAhg0aiFwD6DvyCPr07i3yztXhvHnz pA3gN0ut7kWXbs56VtR6DQJcL6wukLXxnusHMjms3uBM+Ku4P/L94sWL0iYt W7QwDWxdOD9HlHfaZu3RZk2bmr32euqL++EHAfCZ8ePHx3gEOHDggLwr3NKL VNvwZ1t/Ky3Xor/RRjt27JD8i8GDB8v74HNRpAbGRFvbj+rbceva1ssj4IDw ztKlS0sfDeIRjB/pR61bm5tvvln8WUesDQRnvvPOO+VezgfmoDxCocgeHI9g /KEP8GM3btTIvPfeezL+sPXOnj0bl0cw3hmXyHC4yKpVq0TuDxo4UH4/deqU yAb0jIuH49uQHDyrOx3QK9iN/ewzOA+fMeP6nXfeEV1FHJsyuQOb2s0bcPkR 3jxLOBC+c3wSxA3GjB4t+gSfuLfs2MVFihQR23KclVFwIOSTg+QL+uL8YeWN B3gBvvXyVnfhk//V1jk2GLoUWchn3nPbtm0x3R1Pn0etVz/Qc2F1Qew5Ko+4 ZNs+rN7gDch/9Du6m4Nr6E/4j4jTRH0n6qhx48bCEeEUvM9PWXE42px7R+ER qbYhz2O+EvyDWA/9EL3VqVMnM2DAgKtiTZVrFdQt8QryKpElfh7Bd7RVbct1 kTfx/BFwZdqxYMGCEiOh/9LXuVf16tWlP3qhPEKhyB4cjwDoZ3g7upe48nrL F2bOnBnzS8fLjzhz+rTE8onxE+PE3mbuBwjUDQG6mbE9cuRI8R/s2rVL7Fli 179YDoEdwr3r22vcgbwhxwAE8Qi4B5ym4IMPSo5d3z59JNbhj/Fv3LhRfNTY yrw7tq7L84pX1rDyJgJxIOxWclKQm3AG/OGUjTmWyDvkmbNrk+IRccrqxQdW 9obVBTGPqDzC9ZlE9Yadyf+0QyI9G+Wd0Bfob/R44UKFhB/QD2jvZHlEKm2I HdzG2rrwpqO2bIBr+XuR5WGK1IEsgcNWsHYIfh4vj4A3wDebNWsmc8foR/F4 BP0QTodvlT5MjI74UyNrHxEz8fdB5REKRfZAPBhZCuDxcATy0pjfSb6isxWD eATjkd+xFZmDjb3t7MVkeQRchbKUL1dO8vvgMFuz5hv+lMVViIm6Az3h1rAI 4hHcDx8181BmWS5EDgj33uFZI0POsboTXUl+KfIJ/Yqud4inmxOVNxHgRHC0 GtYuIpeSmBH36Wt1bAvLL4jxe9fTSjePIC8+rC4WL14cmUcQqwmrN/xZ5Ceg A/y2ILFs145R3olysQ4regEuBu9BN5DjEcQjDjoekeUf8yLZNuR8eDd5HfjL 6e+MGXJKiAeRp5rptcGud9AH+lieS24v9YmfB/8EviJyZppavoqfFMTjEcik WrY/4veDR4IXX3xR+Alyyg/lEQpF6kDmsTYAtpqTf4xj5Dg5csSk3dw2Z8fC L/DNA3Ks0YXYhuS5YxMSq0amOpvBxSq5p1tTGTlQ14598tW8QCch7/Pff79w m6ixZjdfg3mfDughfCPE2ykDMW3KTpzG5XDjy0dn4jfHppxtZQw8ifkC6Cvq BDmEL7S71YP+OaKplpdnkQ+IX4W5G/AkyvfwQw+JvvTGGygHNlopK+fwFzgg V6PWqxe8c1hdIIfjPdcPcgrC6g37kLyFEvaZyGo37xW9z7qXjs+EvZPLc9z5 yivyGzEg3gHeQL6ExLImThT/AjoI8D8cB384/ZPDq+uTacMfLOchV7SKbTt8 FwBeRE5p2zZtZI0D6kOROmgfuCNrUHXs2FFiGMTaxowZI5wCP4VrvyAe4WRa /vz5hY/Qv+mT5PCWLFlSYll+rqc8QqFIDYwv/H3ED1u2bCnyFNmOfUhOPWPT 5c3hbzxs5XEre95DVtfhf0cXkC+PHsS/TF4lPl90CboH3y+5e9yDe2FHEN/k Xs4GbN++vdzHjWv0BDFv7D1y9aMCuYPPEl2DzsIHynfMeViVlUuI7xv/O+9w xNqqnIP9TNyetZvhS+gi9DtxGcqIPx4uQmwEvz1/e3O9Uy0vnAzfDnkRb2bN jaG8TbL8OE63u/mZ6EpiTdhjstaOlYvo6aj16kdYXfD8oOcGxSR4Rli98Tzm +lNP5F5SV8j6eXPnypxTnk/9h70TvAE9wvwIrnFzNLpaXfLmiRPS34YMHizP wBeF/qB+iSOxnhaf6fM/eeY1J9OG+ORoH8ri5q7AfXj+Y127ynzdN0LmKCui AV7A3K/KlSvLPE/8CX6OFsQjkF/EpgpZmURfAfA7l1cRNO9IeYRCkRrQt+gH cirx+060dpybQ+DWg3C6g/EK3+A8ZDp2ArEF5DyyGb8yPkP0OHMAyKFDr5DP x14c2IPoE3Iozp09a+bMmSP5bfgKnB/DAVuceabM2YoKcrDIW2StrLFjx0pc AD8J93a6D33Hs7k3Nj/nUDZ8Ky5fExmEvCIuU8mWj/ciVsJcCvQT+tKrg1It L/fAP46P1ZUPvYjdj05zQE8iS5GVlIe5HvAN5CL5IsnUqxdhdRHvufHWZopS b3AA5kXAnfBd4EOApxBnAfwe9k4vWb2AboCjUmbKyP88G18EcQniIvRT+it6 n/uSP0rci3d1cztSaUN8dbwX8zQc4C7ME+1kx8TeAFtXkTzc/hq0FZyyrOV4 xEv9+2sE8QjydfiOWJjbY4U8oCZNmsi98E+9lpXX4qA8QqHIfbg1BJ1OxK+B /E52TR7Ox+9IPkMq+yHIWkJZfpJEcOtFxsunk70qLTfhvbhnvP0kslNe/54P 6B++y+m9gsLqIhlEqTd+865BmSxk3Ul7b7fHUpRy0y/d+qF+ZLfPgUR9RJE8 4H+sz0aOJfqdeBgxDewecm0cgngEdk2PHj1ia1kBYmHESeCw8GuNaygU1xf+ kTUfA38z9h5rEbK+wdWKa628iiuhbXh9wMsjwmwHuF487gqPIHdCeYRCcW0C ec68AGwF5j+STxVv3cSrAddaeRVXQtvw+oCbF8qaYPgh/Hv7JILbS4U8IHJ5 ihUrdtk8KYVCce0AO4JcSOLX/fv3T7gG0NWAa628iiuhbXh9gLkyrB/HvCDW 4mWNdGIYUQCHYJ4Xe70QByFPe0uEedsKheLqhNtr8VrJUbvWyqu4EtqGCoVC oVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCobia wFrBrAPM+jveg30ymQvHei7e79kjJ8rav+5a1kdmveWcAs+lfOxT8enFi/Js 3oV3dOXOrbJlEqzTx3oIrKdz8cKF2D6ZV+NzY/Vv2ygn65/5newZwnOTXatd kbNgbXjGJ/tpsXcJ62CzTjb9zL/GFDKMMc76UxzIqajrk3OtW1s92WsVCsU/ gX5lj0f255w8aZKZPm2aWbF8uexXyD7Wp95+O/bbgvnzzQvbtsk+lWFgXLPf 0RNPPCF7LOUE0E/IAfaUnDBhgnkya68u9r1ibRneM7fKlkmgy9+zsnbD+vVm 5owZpnfv3mbjhg0ZXxMh1ecit9knnP3o2Vc0p4BeYq+usWPGxPZuUlydYA86 1hqlT5UvX94UL17cdO3aVfZG868XxphnTWv2qWW88xnuEQX0RfbrWm5lHvvl TbPyj73AFApFcmAsLVu2zNyfL58pW6aM2Wa5gttrizHK/uCPlixpZlhdwfgO 2jfaD2Q2e0EXKVxYZEFOAH6wYsUKWdeO9eneeust2Tezfbt2pkrlymaT5RO5 VbZMApuNNkKG8nncuHHCkTJtV6X6XPZrRGZL/ffqldEyeoG/hD3B2beUfuzg 3ytNcXUAPur27WSvT/ZmD+Kobn8N9tg6fPiwyDPaNOoz6K/0SeTb/fffr/tr KBQp4sCBA6aC5f0N6tc3p0+flu8YX+zZyx7Jz61cmbQv+LUjR0y9unVzTFdj p3Ro3172lv7KY2+y5v7QIUPMMmvf5FbZMgn2LmzerFlsPV/aKaocza3nYgNK /ecgjwBwYG8/xqcC3+RdFFcHXPwJfrBr1y7TzPaxokWLmu3bt0tsA53v7WdB +32mAt3vU6HIHg4dPGgqV6pkGjZoID5BYpBwiCdGjDDPr1oVuC+zi3PjI2Zs M/a941t0Rb16oquR1/xO3gL2gteucDFK4uzIEP7nPGRCMr75Y8eOmfr2eRxw CqcvKCPyaOWKFUmXzcX/8WH49/9xcVl+/zlrD2vO42+nr/hM3ZBXksiP4/YL Il+Asrj9rfnbfcfflM3t8c13HOwvVLpUKWkn/Ef8np06DWtXV19Bz010T8rP Pakj9uiW+vfwCPdulJODuvXWddT3YU9y6ofnePcm5zy3tz3vw3uwDwM8uV/f vnIu9+Vw9e7yhFz7hL2ntz25v3sunzUnIxzUE/KHeCP7XbBfBntesH/W4sWL JXYxduxYc+jQoZjfK4xHePkt/SheWyiPUCiyBy+POHHihNhngwYOlD1vgvQf 45Ccp927d4s+IU5AbITx7fbudbqaMU6eBbHpkSNHmlVW77j4NGOa/fq4ljyM M2fOyN5J+MeJUXydRB4ePtA+lhfcd++9pkf37uaktTOdLkK+oBMdopQNOXXy 5EmzevVq8WXgv8cmcrzh/PnzZrWtH66FtxAPmjRpktQHeWGUZ+3atRKPJ7eE 94wH9NMLL7wgsYGnFy4UnxDydMGCBfLdcls/yEtyVo69/rqZP2+eWWfvTXm6 23d9sEABM9C215o1a8zr9vdU6zRKu6Kfg55LvwkC/Ydr4KXUI2Uin6JqlSox HkF9ynMt3yMmRT2utfekzZLpI+h4+CTnLl2yRJ7HPky8F2XgvdgfnLrl7xnT p5u8efJIX+B58M2tW7dKfs2sWbPEb8Xz4YGMifm2HY8fPx63/uAs7ENOjB0/ PH2Idjt44IB559Qp5RIhoK7g9vXr15fxQ/ypX79+pnLlyhI7Y2xOnDjRVLKy inZ11wTxCPoC/YZcKPombUPfoQ/go/S3hfIIhSJ7cDyiWtWqZsrkyeJLxCaI J/cuXLggOZm9rB5gTH726acSX6xRo4bIduw+dHXdunXlnnPtvZDL7dq2NY+U KBHbmxe5sNDqTWLlFStUEDlNDJvYBLYu8ZSoQN4j67nP3XfdJbIGXoDd6udC UcpGXib7EbOXIPYMer5J48Zm3bp1YquSm1WmdGlTrmxZM93qo1kzZ4ptW8rK ok4dOwoHQCbBA4gZYUvF8wVQvpdeeskUK1rUdO7USfQPMvEZez11Q56rA3ps otVz+/buFZ1FbliJ4sVjeQroyFTrNEq7wmWCnhtvz23qn/cYafU+58G/Ro8a JW0Ej6BO8FcvsvdB7+MjgJtRr9QZuiTq+6C/R9l7ozvgPfDgqfZc/CdwOrhL 9WrVJI6OXtm6ZYv0+27duknZaFfqlefQ1nznbZ9hw4YJ/4jXhpS9V8+e5qGC BaXf0FbD7TW0K3uTx7tW8U8wtu61dgDtDvw8ApBHXdj2BbgD8imIR9AW2ACt W7c2N998s3DOI5YT0q/vvPNO6c9euwIoj1AosgfHI7DlixcrZh7In190on+s AXTqhg0bTK2aNc1z1i50QH/17NHD1KldW3QQuprPbdu0EV0C8GejH/r06RO7 Tsa7lbFNmzQx561+AtgMyHJy+pMBXOKofW7HDh1Mnvvuk7ypQYMGiR3ij7mE lY2/ybfgXZFL2D+NGjYUfQjet/YSepA4Pz4NwP/cs3atWuZE1vwQnv1Y165S Jv+cNS+Qk+QA4hPiGoC+4/74WbjWlYO8dd4VvU5eO/oUOZidOo3ariDec/1A zr9o+RccbefOnbHv9+zZY8qUKSP1B2fC58MzsB/ZB5q6b9mihWmQ5R+L+j7k 1TZr2tTstddTX9wPPwigncePHx/jEYC8IN6XPuKAroe3wf22ZL0b/ohNmzaZ JYsXx31X8LOtQ+JnFStWlDbasWOH5F8MHjxY3gefiyI+4Kp33HFHbB5VEI+g zUqWLCl2ANw1nj+C/gwnKGg53ZQpU6Sf4qvCNiAXm37mhfIIhSJ7cDwCew3b GtmKTcXcSf8cOWThmNGj5RzGpQNyGzuySJEiZsmSJZflIDhwPrqhS+fOse9O nTpl2lo9g65xcQhvHiTfYf8mOj63ZfrJM0/gU2tH4x9nngl2b/PmzS/zu0cp G+8Dj0L/YEPj20BvEe8B6Ki+lnOIbrO/A+xq5F7jRo3kMxB+MGCAaWLP+zhL BwYBXoBvnXlu+OR/tZwB+5oyISP5jL1M/MTp7nj6PKxOgxC1XRM9149Ltv7G WdsS/vW+Z75wrP4tj0CeY3+i39HfHFzT39bjCMsRiNNEfR/qqHHjxpIvDKfg nSgroB9z7zAeAeAxjAfakucRo0C/+OccBtUhcSw4CLEe/DtwoE6dOkkfiDLX 6V8Z5Ow++OCDZsSIETIe/DyC+sMvSN5l//79xZcVj0dQ99R5gQIFpK8y9vAP kW/R2Y5xf1soj1AosgdvfgS+WXy7taxNjf/Q+YUdWD8C/Sk2ty8mzloN8A98 40G6mnUp0CmhPMKjZ9Aj2OOJDp5H/Nk75xB7BH2AHf3nu++WORsuThOlbNzr zOnTkodAfgL5AtTPQCubpB7i8IjHrXzz8gjkF9yDexPzTQRiKdit5Hegk+AM +MOpa+ZYot+Rc86uTYpHeOo0CFHbNdFz/eB98SXjI0CuO3jLgu+F/8l1jKdn o74PegT9jR4vXKiQ8ANyTWj3ZHgE3IZ8GeJe5EzgPyH2FZRv7AX+mjatW0tb 4xcDXM/fiywXUyQGXIHcyqa2v9DXaXf8g/AIco4Yc+SukD9BnALE4xHIDWQY vJx2Bi+++KKpYG0B5h37oTxCocge/PM1kLvo4GpW5hLbJd/O5dlh64+yMrZ8 uXJmx/btsXtgG7BGA7qF3Op08Qg4DPI50YHNRy4gcXEveA/80cQ48Iu7GH5Y 2dBnyCF+R+ZIvCTL1s0kj6B85P7VqF5dcinJKyAu39fq2BaWXxDjd/kbIJ08 Imq7JnquH+iFxx9/XLiJWwfMXxb0A/kJ5OT4fc3kytH+Ud+Hcn37zTdid8LF 4D7YnuR5BPGIg45HZPmYvO9MvVMX5JOuX7dOcikSgWtettcQGyMeT5+By+Kr h8vSPzO9Ntj1APoAOTCMPbhbmzZtTOnSpcUPQbxj9OjRsfgaCOIR1DO+jfz5 8wsPoR3oG+TZEBNBtvnbQnmEQpE9IE/x2TNnEn8EYNwxdks+8ojkTJArD5fA z00MmJxEfBUu74Dv0TP4mtHBLpexl0fOI9/hKsh2kzWO8RmTD4WOcOsqY2vU tXKBnLUogC9guzN3wBuHcfqA8qOr3Jy9sLJRDvQ4di25m9yfODv6AL0Iz5D5 IVZGeeMVcAf8rfhOnR+f3yhXwwg8AmC/El+iLZi7QbyG+n74oYdEZ3pjDrQR sQZyOzdmrbOVap1GbddEz/WDvILZlofRh+g/XEebYB8So+5u2wQ/BXkLJexz keFu3ivtyLqXcJoo7/NrVp7jzldekb+JAfEe8AbyJbjfpIkTxceATgf8D8fB d04bczj9AgeCX+S//37xTYTlNvxg+xa5olVs2+G/AOhEckrJmcFHT30owkEb 0F70LXIiH3jgAeGtjCm/zyqIRzDO4SCFChWSHBXgYiS17RgOygtWHqFQpAY3 L5/xSswRnx95cW7ePHkHyPgbb7hB1qbFN4s8JXcMHdyqZUtzxNp25BBgbxLn Zq1jYgLoX/Rwu3btYusfOB3JdcgJdBU6BRmALxO7nvOcLdi+fXu5Noodh8+S dSvx/7v1apAxzCsg743cfcAzw8r2kb1+4YIF4hsnrxL7Bz2I3sRvjc8Gm5bc SXQZv3MP6gWZVtPauHAV9CG5l3AY7F70sFtXIB6IL5AbQF6Es7u4V5MsX4jT 726OJrqy0MMPiw0na/lZXZ1qnRIDSNSubl2MoOcGxSR4BjqceoWjUQbiGMSI Cj74oMQ7eCY5+Njx5F4yFwNbct7cueIHQxdHeR+ej85gfgTldnM0utr2ePPE CWmzIYMHyzPwUcFpqF/iSKynxWc4n8un4H7kWFAuyhQG+hztQ3mcjoL/8Hzy bJmv+0aCOaOK/w/agDZkjOGHwocAjw/aXyOIR7h1MPFXObuCWB2cnz4Ef3wt K+7koDxCoUgN8Hby1YhJsvYs/nR8stjm6LuzVubDI8pZeY0PG5sUPz8+/XNn z5rx48aJjYyvHb1LniAyHtnPeVWt7YecxlfANegi7MMWzZuLjIankHuATYhO IReB++K/JM5CLML5A8JAPJqyEGsg3s08TOxI/AtrssoFopYNu59r4VbYvMxh IP8PnUguHfYR+gc/A5+RXevXr5fr8SUw7xMdic5CL5P7Bw8Lm/uHDMU/Thmd bkamwvUolwN6En8R8pI5rsz1QDZid6Vap+j9RO2a6Lnx1mfiezgeMSHOp06Z C0ReC3odnoHvgLkRcCd8F7QDPIVYi8yxjfA+9NdX7P/wPMpNGfmfZ6NLiE2g k+Bz5O+j97k3OaQ1rc3L+7q5HQ70AerCHy8LArEX3ot5Gg5wF+aKMg94b4Av XREM+jA+MGJK8D5sGPgZbU49exHEI+CErGNFOzvgq+ppxzF9jP6icQ2F4uqB W18xLAct08BOcX5jyoTv0mtfpgK3/qHT5zyDd830ekL+PR+QeXyXk3sRprtd 3R6r1Ck6P+hd+M27BmWykLUns9YWhTtEKTtt69YP9cLlCMFHs7P/Rrx3VaQH Xh7hcrjigbaI17fgEfg9lEcoFAqFIlXAHeAx8E/sXta+ZE0NxdULfImsCUHs Ej+Ef/36RHDrnRMvIdbG+tvePGaFQqFQKJIBHIIYFb5v5tuOGTMm7jqdiqsD xClZO5S8XeKz5EG5XPEwwCFY1421ZoiDkB+9JWRejkKhUCgU8YBfnL07yJdg 3k3YulMKhUKhUCgUXrj9PTUnUqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQK hUKhUCgUCoVCoVAoFAqFQqFQKBQ5DdaJZS0W1tpxB2tLu7Wk3TrF3oM1h6PM ieMctxYy6ytnEqxtzNrFPOtqXjfIldNfp25fNOrL3xZR1lTOybqmz7DOAmsA XrxwIbb/Zm6BOZrs+fHFpUsZX688CG7NctqL+k91TW/F/4erU/pWoiOn1huP UhbGcHbW4E8Et3Z7vGd5f89kORSKIKBz9uzeLXsxTRg/XvbKZL9P9lRkLLPv 5XMrV5oZ06ebyZMmmWeeflr2LIoyfunPnMu+X+yvk0nAhXbv2mVGDB9+Va9r C4dg/0z2DqU+p0+bZlYsXy77QLI/OHuDut8WzJ9vXmAPsaz9xxMhp+oaDvHe uXNmw/r1ZuaMGaZ3795m44YNubrWArqbvbbYO827Z3xOAR1z+t13zVxb7+wR 7vZWV6QO6pT9cdhjjf26VqxYIetMsp/r9u3bZS8M9s1j/5OgfWbTCWQdY5Yy 8Fz2f2Mf2SVLlph169bJ3/zPOpqclwnAD+hXq1atkvVWqYuzZ8/Gfkf+8Ttl YK9A9tRVKHISlz7/XPY0ZG/wZs2ayd4CDth37NnMHokP5M8ve3BHtQGQ7+z7 XKRwYdE3mQT7QrK3X2H7LPZcvJqBTFi2bJm5P18+U7ZMGdlv1MlCbFq43KMl S5oZVk+z72EUOZlTdY1sp3xwNT6Ps/0G7pKT+1D59zDDJ8K+3uw7Sn3lNPDN sO85+4yy/+ire/bkeBmuN8BLsXHY8/U3v/mNyZMnj5kwYYLoUcYO+9hXqVLF dOvWLeNlYR8w1jYtXbq0GT16tJlubapatWqZ3/3ud6Zly5ZmvuX7HTp0kD2+ vHu9Jno3eL/bUzAK6PM7d+6U/Uj/53/+xwwcOFD2APb+Dudib1TKxN7DCkVO gn7Nvtq33nKL7LntB3sfs/Z8KduH2bs6GbAnOXuNZ5pHgP379sl6xlc7jwBw swrly8te4uwtDtDF7FtN+fEBJeujz4m6Zr9l9kp3exBQRmRYTgF/yFtvvSXl 8AKulRsxDQd0wsyZM5VHpBG0KT6H3//+96ZNmzZX9LMjtr/nhO+RveNpW2f/ s39b06ZNTYECBczWrVvlO+x/9gllXIeBmAPjnHdLBuwjMmDAAHPXXXeZRYsW XfYbfR8/TefOnWW/EIUiN7Bu7Vpz2623mv79+l3xG9y2V8+epnSpUuLXc3Ax eXzJn3/+ucSo/WP9tddeM/Xq1RPdhg7gHHi0P8eCz9iY/MYBX3dAnnA+dh/j hf85B1+e9x6MH3jE0CFDRCdjo3Oef8/nRM9yz+M77u/i3ugJrnP35X35LlUd eujgQdE5DRs0EJ5GPSJbnhgxwjxvba6g/a7D6jtqXUetTy/c/dgTkX5AGakX rqUesB1djgd15PI7XN0n80x3D/ee3J9rKAP7L8Gz+vXtG7s/57v93f3tEVZn UcvlckJo+6D9JPkNP43yiPSBPsU+aTfddJP4JQBtQltw0E6Og2cSFy5cMCdO nIj9jV/ggQceMFWrVhWfHKBfwSWi5GbRZ5Gjs2x/SQb0OfYTu/HGG8Uf4wX+ 2KeeespMnDhR13NX5BqS5RHIXPLsdu/eLboFnzr+xkOHDolMdXC6rUuXLhL7 J449cuRI8U+6WDYyQe61a5eMk0mTJpm1a9aI3Oc39gXm3uQNMFbZRwlfOvHK rz05hfCIGpZH9OrVy+zbu1fyPYYPGyaxS+cDTPQsgI758MMPzerVq83y5ctl H2JiObwj/vM9VkcsXLhQ8hrIKdlrn0P5kCPJwMsjkFHY14MGDpT4ZlAcI0p9 R63rqPXpBfoTe6d79+7mQWuH4VfFh4U/f9PGjWbK5MkSn6Gc9BdiuFOnTDE7 7e/JPJN3/8qWFVuT37ADsb3etu+DrCRPJ2+ePPKetBu2ImWjXtjjG04Wtc6i lgtOc/LkSekTy+x7YQNTF95+rjwi/aDOGzZsaAoVKiS6G6Cn4ZK5kQcD6DPk ReAjYa/yVHR2qjwCMOZuuOEGGYcOyCxyNAYPHhzjNQpFbgAeQVyjS+fOklvp PbCTO7RvfxmPgKOjS9HZ6NrPkPEzZogeRwa7fGF0W926dU01y93JQ2PstGvb 1jxSooTIY8YhenuR/YyMRkag/8qVLSucm3g3epu4f8UKFSQWSSy8datWUh78 /w7wCJ5TtUoVybccNGiQqV2rlin08MNm4oQJMn4TPQu+j+8QTo+u4j6zrB5r 1bKl1Au5j506dhSddvjwYZFx+fLmNR07dBAdmgwcj6C86GDyUsiPjOebj1Lf YXUNkL9R69MLckDJm4FTlShePJYfgVxHT5PnQX4CgAtssf2keLFiYk8m80y4 AryBd+UzeWutW7cWvzZ+5a1btki9ERfn+fAAct5oq+rVqkm7RK0z2jpKuSgD OoO9qZ3MbtK4sfBTB+UR6cdLL71k7rvvPlOuXDnhlfge4IphOVqMc/oqnDLK QT+JOr+BPgmHvv3226W/pILs8AjyTO+9917Z39yVmXFBzgY2iEKRm4BH3PSn P4mO6Nmz52UHugid4HgEsnTDhg2Se+mN8TEme/boYerUri1yG6Db+Lut1QPO J0CONbq7T58+Ig+w87gOnYBs5/eWLVqYBlm2OnYJsr1pkybmfFYOKLoL2T/c 8gUHeETFihVF5+OXBsetvUoOArqVa8KeBbBx61t718UcKCM2LFyqT+/eMV85 Ni7v4XIFkoHjEfdZmUDdksOKv975RbyIWt9hde0QtT79QG7hZ/DHt6ib2va5 jke4+6Hb4RFRn8l7Mvejm9XZLt+cdkSfE6thD2+X8wtHdOBdx48ffxmPiFpn UcpFHdL23A+ORD9rZDnkyCeeiN1XeUR6QV8j3+C3v/2tKVKkiPBG+B++Cbhg ItCm6Hr4Z5QDGwL7IgqQDdVsPytu5ST9PgzICpe74w76NHlmvIf3e46wnGr6 N7mU5JjCleAk8FnyP/3xWYUip+HiGvjLsB+9B/OJ0M1Of+ArHmP7LTKaceUg utXakox7fH/AG7N34Br0NvdElzOO0QHY+xzj7N/EV/Ap8GzymtpaLgOfcWMl KKfQ5Ud48ywpP7ELfBJjx44NfRZgDiZ6gvJdVmbLR9q3axdbL4EcK57nck8p G2M70fG5rTtse8cj0LWS/23r8qGCBc2Ttox+n23U+g6ra4eo9elHdnhElGdi 6zFvslOnTpflMIgszvLTBPEI6ou29PKIqHUWpVxcA7+DrzAfmjgRPIM4lIPy iPSCeob73nPPPRJ3AnBLfFXMb84N0A8Z83feeaf4Ir1xrXhAVlBucoPdwTjF F0Ef9n7PwdyQRL4WuHTz5s1NiRIlZNzRt5mnFoXTKBSZRjL5EaxnwLwOYgbe /COATkUf4k8GQbrNq6cZY7179ZK8uXhcPFDWu/vaax2CeAQcH7lf8MEHxQ4N e5a/fA7EV9BxjRs1ktwLcsDwbaDzKB+Ah+CvSHRgg1Cf3vwI4ivck7lkzFsl p8ybbxG1vsPqOtn69CPtPML3TPpCD8tj8UfEi+9E5RFR6yxKuZDrZ06fljGy 3Oo0/FC028ABA2L3VB6RXhDHIJ7BXEvXfvBMxliY3U3fwU4PWzfKHfDEKHOr uSc5VX/4wx8S+u28oH+Ro4Q/xR3MqcCnwRxO7/ccxGwS5Thgd+FryZ8/v6yr ga+NMrk8DcYo+ULEapBZzuaJ971CkU4kwyMYz6Ps2Chvx/mO7dtj59GXybnj PPo4CNNtxPYYP+QHMEa8YNyiT7PDI6RMmzaZShUryhoZYc/yl897H/zgfS0H QT+5dWj2eHQG13NOogO/Ou/gn6+B7MN/jnwpVrSo5AQ6eydqfec2j3g8mzzC 9TNyD7yy1M3foI0OOh7h8QUE8YiodRZWLvQLuos6JR+ePLujR4+axraMyiMy A9qIGNItt9xiWrRokfTaJOhLxhK+gygH/dfFQROBWCg5zPny5ZPxnyqykx9B HyX3+LbbbpN1IvBFuDVT3Jxo8qyIczBXn3rEtxf0vc7rUKQTyEpydMizxJfo 71+i662NCH+m/8HfV65YIfl72M7OB833yGZ8wi5G4HL/enn003Gr29Cf8HL8 xcyrwE9HPBRd7ObpMRcCHUBeI3FMZL3j0dgrdevUEb3j4OZrMO/TgXGH/UgM HH9o2LMuK1+nTpfxfHQU1/FOxCh471THIvoQ3zh5GPgj3DPI4Sv5yCOSM8Ec AvRT1PoOq2uTVdao9ekH5YM7+dcREb1rn4u/B5nPgZxEh2OLUUdRnkk78H68 OzYW+gD5jg3FM7BLhbPUqmX6Wb7rYsqshz1p4kTJgXH+3ah1FlYuvps/b56s 9cGcGp5H3nGdLN7E2OH93PoR8FU4lCJ10OfJaf3jH/8oschkQa4D/RQ9HeWA E8A7w4B8QXaUt30hO/NNs8Mj6Gv4V5kvUspyYdaudEAmkTdM7AeZQh0iC5Df Qd/n5NpxiusbcFhsc3gt61mSc+jNX6avoWPJDSA2wFrIjHP6I32RuQxHrH4l dkxeO/kHc6wOQL4iu5G9yOB27dqJ3uZ+u3btEluVa9EBzMEkF5D8IfLlyVuc Z+1xbHLKhi+7jpXrrP1C3JR7kMuNnmrfvr3cl/GFriGPGfnPO1AmvmOuBvP5 OAcZH+9ZnO/WjatcubLUBXF2viNuSV5dx44dZe4Va8dRL/B8ch6iroHk1itA DxctWtRUsFyCdcjd2gvci5xB2oJcLsY+ZeA5ieqbOgmra/Q07xK1Pr1wcyjR yeSakKvOe/A+xCO6d+smfgLmrVAvzJ3Er4Idz3OjPpPzqmflseE7RuezZiZc kGvw6dAurIXFZ9rlnVOnzJDBg6VN8T25vousT1RnnBdWLr5jfm/hQoWk/Xkm /A4uxfqV2KhwHf6nvHzPfFTdYyM1OL5OTg95CIxL//ovOQ3GDPYOZfnP//xP sVWQS6nuYZEdHgGQPQ/bMYhv1NvP8JNhB7LuJ/KFA+6DzAv6Pkp+h0IRBcT5 8fN2zsqjJP6PnHT7axBnhr8SL0BH4ZfAl0//PWd5LrEC/L/MA0TeIkMdz2Ws 4QtmvRZkPzoGeYsMR1e0aN7cbNu6VXQI8wSRHdji/Ia+wkagfMSksUGbWVlP /IXn4qPDh4yfwdmJ2K9LrR3CPEzsGMqELcnvLv6J7ov3LAD/gCtRZp6HTct3 HNi82MroR/QK+hS9gf+c36MAGUIe39ChQ01Zy2dqVK8uOhe/AZzurNXJ8AiJ Ddv2wG6mDqm3RPUdta7hKVHr0wvaCF8Jft1K9jxyIeBovI/TvfUt10T/8htr b7D2Hv4Irov6TPoVa1Lgz8aXgI+Bubcu95T+QJ4k/ZF6QB6vX7dOYhPwGPiw y72n/yaqs6h9i7ZhfMD54KjEpMnPlXnBVhcwVjZb/sI8Geqa/M6cWB/pegR1 ybxr7H5yhdB/cOjcBPwZ/wYyI2/evJLHRB9Ida2G7PII+AJc2L+PCxyZ3AnG HvIOeYKfDM4Q9L3mSCiuJjAukMlBazAmA7e3aHZtORknVu8l4tvJPMvZ3PgT 8ZsTx0e3YMvim0B3vZDk+hHZQbrqO92gLikX9Z/d9bJpH7hDUBu6vQ2T8ctm t87cepmOj7p3zc21uBXXJug78G7/2tZRQT+E2/iBvw1ZxHwOYnPwfNabwL8T 9L3uwaFQ5Bzg7vg1mEvg1mh2+xqjS7ADsBEUCoUiDHBReIB37dV0AJlEDhh+ E3LZmMNPvmm87xUKRc6BmAV+bGIQ5CvB7/G18j9rwJDfoDlLCoXiagD2DflW /rms8b5XKBSZh8TZre3A+tXk95G7QIyUvTuIc6hvW6FQKBQKRRS4PCXl9AqF QqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAo4sGtkcra jomO7z1r+WUXzKNkTTfWsWYdJ0X64dbJou2o5+yuEcrcVtbGZj8UneeqyDSQ NazJkmi/b9ZCSHWPi9yAG5Nh+5hnei2aKGXIjbp169R6y8E6tE7eUH+UKdn9 3hWZB/vPsHcuewqwn9Xsp54yK5Yvl4P12JcsXmzm2t/YkyBd+7rQR1lfjX0l eK4i/UBWnH73XWm70aNGXbEWf7KAi7CvxdgxY2J7XSgUmQI6gr0A2YeCPdrY z4L9qVhPevv27bLXFGvSHzt2LLeLGhmMSfbk4D3Yf27FihWyTyBrVPNOvCvv yVqTmdKPcBTW3+XZPI+9b9jvlP1DWFOPv/mf/Z85LyfBet88kz2lafPVq1fL Ot5O3rg+we/UE+t7R9nvXZF5wPVOnTola6XecfvtpkOHDrJfI3sj05/p50OG DJH9HD9OcV8aP9BJ7J1XpHBh2Q9SkX7A+djvij0p2XPq1T17kroemefdZ/Hi hQuyPyp7cH3yySfpLq5CcRmQS+zlyv7w//7v/x7b+xb9hg4ePHiwqVatmuzp da0Aexr/K/sC/uY3vzF58uSRPTjZt2fZsmWy91aVKlVMNytrMwXqtH///qZ0 6dJm9OjRZvr06bKm3u9+9zvTsmVL2ccXHVCyZEkzb968jJUjCMgc9i1q1aqV +Y//+A9pX9b5c3LI6apOnTqZRx55RPYyzs4ePor0Ap3DXpF5bb+ePGnSFb/T 9+AT5z/+OG3PZM9L9rJUHpE5EK+aOXNm0jyCWBfrfrPXpRfYSBrTUOQUsDXR uX/4wx/MqFGjLvsNnyb7DmObXktgDGFL//73vzdt2rS5Qg9if7MvbaaA/waZ cPbsWfkbvdy0aVNToEAB8UsD9iR8+umnZR/CnMbHVsf07NnT3HXXXYH7mGGD 4sPGl624usB4xT8QxCPQKfCMv3z9tfmbHbvEpeDUHFyHnwx9xd/8Bud24DO/ 45cifuL2uAL4pOrVqyc8gmcQe2e/Ov893PPpP9zHH+dnXHIN53Bv/uc+lC2o LNzHlcU/hjkH7sv1HMiqqEj0ru53yu5+5339z+ddeCZld7kN3Cfe99wzUZmF H86aFcgj4tUr3+M7HDZ0qOnXt688i/u72KQrQ7LvFaWN4tVrvPdL5r5h90lU v/H6jatDNx64B+dTFu7l6k6RGliLHts4f/78EscA1C39kDb49NNPY3vEXyug n4wZM8bcdNNNwpEAfYa+xEHfzOSe8+wVdOLEidjfO3fuNA888ICpWrVqbB90 xjBcgv6b00AvVKhQQfwl3nI6nDx50owfP95sy8H9lRXRkIhH0Lfg/fQtzsPP BB/EH7dl82bpb/ga8YEdOnhQxgJANn9ldQv8mlgcHBh++fbbb8s5jkd06dLF nLLfEXsfOXKk+PhcPAz5Tb8hTrZs6VLh6cQRXZ4G9/nggw/EJ7j42Wf/ube3 5fpwVZ75dVYOp/Mn8h7sszV92jSzcMECid9wPe/GvdiDb/euXWb27Nlmkq0H ckLQHWEIe1dkn9x7926J+1HXlJm6dO+CXEQm8q7kpbz55ptmmi0ndgHv5f8e 3y46NFGZ4/GIRPWKvpwxfbr0BdpnbVYMmu8p/8qVK2P7FEZ5r6htFIREbZLM fRPdJ169U79ur/F4/YZ6wIZjLMyy9YyPzeUt48vBR4yfVpEaqOeiRYuaypUr i0+UcYwepE6vVX82465hw4amUKFCosMB+hruntN5R/RV8iLwjTz22GOhnD7T 4Pnwxdtuu01iLEH5psRqBw4cqLHVqxCOR9x7zz1m6JAhIiM/sOMW2bzU6plh w4bFdBP/s19VMTu+kbeci7xcYA+v7YWtgC5F9vKZ/JnWrVuLL+/8+fPCI+rW rWuqWR5MLiByuF3btuaREiVifj2uoX9Pts9DbpAD1KRxY8kDAow75Dt5FhUt h6UcxPBbt2plSpcqZZ6zOs+9H+OlU8eOotvZp5OxnC9vXtPR2jvoAnTJIvtc 9CpjGl5TrmxZiVmGzXUIe1dkH7/16tVL9NRn9pwZM2aYGjVqiM7Dvrp48aLE etHfVatUMbMsF2llxxLvQpv4v+/bp4+8R6Iyx+MRieqV67Zu2SLXEKeFR9LG 5GLx/OrVqslzQZT3itpGfiBTErUJciTKfcPug34Kqnd8Mfh+E/UbYn37rK7j +dSfs+fgleQDMm7gX4rkAUfF///f//3fprGtWzgbbUC/yom4PbIMHzvPjXIw FqLMb6Bf3HfffbLXH3YHvge4ObI0p/cMRlahk2+//XYZP7kN7CJ8NDfeeKNw cz+QVcihQYMG5TrnUVwJxyNuu/VWka/kVHbt0sW0aN7cPFqypMhMr12O/6BD +/amQf36Isu51ps3S3tv3LDBdLO6Ci7inoFsJ47xzjvvCI+oU7u2aWt1Lb48 QF4nz+9jdaT7m+cQA0U279+/3zSycnykJzYGv0d3NG3SJJa/gX2MbB8+fHjs HO7Txz7b+eGxn3kWuoDxiz3as0cP0ZnodJ7dskUL06BBg0D/WtR3Rb9S/lo1 a4pcdED28DzqgHMAdn/9evVMQ/tMfqdc3Cvoe/RTWJnj8YiweiUuSnkZrw60 Ef5ExyN476jvFaWN/IjSJlHuG+U+8eo9rN8A2gEfXoXy5cU/B/BHbNq0SeY6 KVID9Yp/8r/+679MJdt/ya0rb+u4lOWItCe2NBwV7gZXd/E/dDm+J3imi2+5 Oct8xwE/4BqeEU8f0fboWOyBKAecNCzGQtnwL/72t781RYoUEZ4O58Y3Af9O BPceYQd1EFXH0u/JZSSHFR8i4HrkBuOEA36UaG5+OssFb2/Xrp0pWLCgzGnx g7JQf/gKve3P924/dMpO27o+ocg5xItr0O74audb/u90PaANX9i2zRQvVkzk L+d4Ac9lriFj3x9L/yUgP8KBfo1s79K5s/yN3Ia/8Gz6BTEPdMQgO74dyBNq 27at+DJczNufwyn3tZynve2jcF6AD6KmHcP40RgvyAF0JO/PMc7+3b9fPzPC 6iPmTDIWGE/vvfde7KD/fmh1U6J3RaaNGT1a9K13jproJGsXI0+wecEbx4+L Pnfv7xD0fZQyx+MRYfUaxCMYszzD8Yhk3itKG/kR5f2i3DfKfeLVe1i/cYCX UMfMLaAc2M3IO/iyIjXAQZEPxayMgecC6vXZrBgWHIB+i/+7WbNmwmnxIcAD x44dK3MSmHNGe+CDwsc5YsQIyU2AHzBe4cU5GR9hrGEj3XPPPRKPA7wLvkzm wccDsofxSu5z2EGfixKLRT7Rl++8807xsbk4JDKN+B5jBj/dgAEDxFecE+Wi veA03lwNL44ePSp+Cri/zEO3faG+HZ+MdXystDVxj/aW+7ewdgKxWkXOIVF+ BLE7+jr9zMspGa+0H/oHe9ybU8j5Pbp3Fxs9Xn5/EI/wy3PswjOnT5t1a9ea 5Xbc0W+wGQfavu0QqEvcvXv1kr+xQdD1jRs1Ej80fACbBlnC9ZSXc/Flx5u3 TT1QBniTO5gPS75PonclPkQMonatWlf4NdBFD1nuTWwg6P3j1Yur47AyJ8qP SFSvUXhEMu8VpY38iPJ+Ue4b5T7x6j2s3zjAVbCdidExF418CmTvL3H6viIc 6AD0LXrC5fu53AjGmct5IhcJ3UMfxt6Ha+Cjd2swoF/IwULOOD3GdcQROnbs GHf9AZ4BLwlbrymZNZGIYxDP8OYQYnPBZRPldGNXM6bwX4Qd6H3nK0sE3o1c IebCeH2C8LFGtr9Tj8gJct/gXS7vLZPl4l633nqrjC9/XfJ8fHzM93XxH3gH nIPvHPAJEbOtaeWXrnGYs0jEIxzoM/Bp2pN2xH9M/IO5x/iIsc8d+NyrZ8/L YsbA5b7Th8N4BP2I8cXvzEnlufBRYqXJ8giei33T1+oSdJ9bd2VPlm7Fn0Zf x65BJ3hBWfGJ/pSle5Fv7kCfYrMmelfqYpTVMeWt/Njh4cf8vsmOG2L5i7P8 38nwiChlDuIRUer1oOMRHr+Pn0cg/6K+Vyo8Isr7RblvlPvEq/ewfuM9j7g3 dcE6LOvXrZMcE0VqYNwsWLBAdJyXyzrQZ9ER9EnyW8jPQQ4hk2gj9A2Af2BT Ew/x57uSl8B5tH8QsHfhItjsUQ7iAonWRKKPoKNvueUWsZVzOhfCD2J88Kt8 +fJJnbkywpPhOrwT74NMI981XWsQxgPPxkdz8803m3Hjxl3xO7EoYj/ILAfk EHLLOycY7o9fEBmQ3TV8FcmBPgI3hUdMCuARyFviVegk+j+y9emFC2Xs4Ft8 9NFHxZfoZDnjm3wZ4h7clzFJn8SeQM7DxV2eZS+PHmGsYxd3tvIcjk88hbgz ue/YB/BP4u6PP/54zDcCbyY+iS5xvmd4f906dUS/A+wU+hy+Zp5Ln8Sf6Xwr 2CkTxo83JUqUkHOQLW4uI2NoRwL/WNi78tyVK1ZI/ijnOT8q90fP4oN3a03G 3t/ycW8sMej7KGV260dUqlhRZCyIUq/wCPwMjEcX32Q97ElWJmNz0+48K+p7 RWkjP6K8X5T7RrlPvHoP6zdeIG/hXfnvv198E8R9FKmBuoSP4Y/Ax+4FbULu AjqHfguIe1SvXl3sfOaSOb8gvvTmzZuLTnH9w8HF9ePF7LFr4Yz4laIc6GK4 dTwgY8lr/uMf/yiyMrdBnTEm4Fjeeab/j737DLarOPOF/4UPfLXLmClTxYVh DAYjkglCIgkQGYkgZCQRhISEQCQJEUQSGCGCEEEiI5JAiJwzGESymcKe6wGP BzBgwFwYM7cc5t47Vfet1+96+9dWn1narL332icfqf9Vu6Sz91q9unt19/N/ QvdjLrBHOIeKL0ib+uPMmHSuxmabbRZ5RPmZ3jm7r/XJu09Icc98WCn2xZpD fmQe0b+wLvJRsG1t/oMfRBsWrmoum0vswo8//njkrmRS2p+RzrN2L7v+Xnvt Ffl2Ov+BbXzMqhgeZZMtxgf7ozlFhpFl4mqs7fgJm7CYefHyn4dn22M3fKed Yvwf7mJ/36jAWZzRqB7kteccHuSGs1TYS5STdEN+MmX/7pNPYhnsmM7SxYnI EH67r8N6T78hZ8XPaYe4fza4W2+5JdppyrEhjWjXVvUxT/El7XonjH3lsbfy Qd4cuIc55D3YB2aPG/sOOeS7Zt97bqs6m//6SH30mX2O5pU+wwFb9as6etYx QYf3O53v/aD7X3D++fFZ9Dhzu0679G2dd1R13kOr9rEt1ClXHVqVY+2p6l/Q 7lbjprzWec5zQYfznOtWnQuQ0Tm8Q/uHxEU4N8JeBuuQcSnOgTzBHb2Tst7C 7uAsJXs50r4JdjZxhK4fyPj+xEfFfolHMO4G6lwRYxu3VodvfetbMc7TXEp9 ZkyTxeJO7CvhI8DH+iOPBR2AXYmNgZ3XnDY/cR6xLI3nUulT9ceFxL344BrO usw8on8R9ywG3mkt3ivwee8RLxCHxjZsbaXP0vmcx04POPnkk+N8Njfd72xV 66fv31kVc+kdinlhw6Oz0mPtqTPnjVv2Kb4t5SvLOkH2kMf2iViTjSXc0rkk 9Et8VYxc3J8XdABcg3+f7nx0qD9//8cffRQ5Dlu+WH58hR5Jl2YzsF+VDN1p xx2j7GSbZzvAf8Tbm+u7h3GoHvTsVjpGQqu2gn5SrysDt9CneD6ORLYn+6Y6 XL9kSewTbaHr+67Z99Cqzn8JMvTpIO/th/G9mMikd+AG7fpVrKR4QvX13tnq +RD4O6655pq4ttdpF/tznXdUpfO0al8n5bYqp1X/+rfduCnDeNUXrWLmMlqD H4oswAnE7ZMH/Er0GPbLHXbYIdrd7UcH8i/l6uG7srfDGmRs8nv5ToxFJ2fK 9TbIQzyH/j98+PAYa4mLDgTwZHYWc2HYsGFxvTf/6Y3JZw10AmvB1ltvHW06 rXSp3oLnszGRRc4HZ2cQ+8AvqY6NvqDs11h7kM4Q6K5/LZ2hmPiwsUGG1LW1 uS+eUfTgg9EeL16B7Y4uS8ckE58vnY3mefyq3RmDddqazjbqzRi87tS5Xb+m 3Ht1/bh90a5yXbv7TrpbTqfjRr/xp+OP+QzL/oE+Z+fGX3GJpJ+ycZKXZJ8c EvRVvzWek1vOJZnxNx+gMZ5iRpIvhn6f9oX2B8xPc89cYwtp9EklqBMfTCOP wDvxiDwPM3oLYgTEA7CxpLOqU/5eco8dnv0zI6OMOuOGbMJL2LvovmzwQy3f w1AFTqjP6cziV7wb8oY9aosttoh2cO+JrKHf0lHZ49ig2EPF1oh56ev4waEE /cJWoT/xMPY2dmN5s/rDHtEJ8EB5Uvkj035r3J/vi0+TfbHRXpiR0V0YS2z2 Y8eMiWdmWfvZFP3r/MYXnn9+wGOnMwYf6owb53eyr7MRW2v5ZwciJ8HaCHon X8GkSZO64nXwPVxOHIy4S3FdeAJ/P1kjVwd/Fh3bfpB0blzG34CH6T+8S8w4 jsa3kPJ3DSbgNWI8xNbyt7Kj4BJia/ixvP86+18zMuog+vA//jie5S1ukG+V T/CiefOirpLtmhlVqDNuyCg5PcSRWG/zuVODF8lewR6R/ebVSPY2/aOv+Dnq nPWdkbE2Ie0f6I/Y44w1B63GTbv9gxkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZ GRkZGRkZGRkZGRkZGRkZGRkZGRkZGWsnxKHbd23fe6vP/y6dfdhTiG23t0hO q5zbNSMjI6P7cP6Nc6PyWpoxULBH2DkjzoG7auHC4qYbbyxW3Hdf/Mi1d8+y ZcUt4Tc5E3rr7DfnhaQz8VO+r4yMjIyMzuC8B3msTj/99HhWe8rpk5HRn7D3 3fmy8vT+wyabxDPf5DSUL0W+AGeCXXDBBcVpp55a/P7zz3vlmewQziLbefjw 4owzzuiVMjMyMjLWJrAPO/vMWZ1yDTtX1Tmd+ZytjIEAO4Nz1IdtuWVx9aJF 3/hd/mR84ovf/77XnvmLd94pjhg3LvOIjIyMjG6AP1oeObnInOP+2muvFRdf fHHOF5QxIJD3kX2gikeIn8Az/vynPxX/+X/+TzwvlR/Ox318c8azv/1WPtfP //3O1sZ/kvIdgRw5crLhEZ4hx5wz0xvLSM9nw1BOI9fGyd3jmnRWsXLUraou ykl1YRMswzVyxLnfp06u4Xb3dFK/ZuUow9/uUWfxKurvnnbtSv2X3ply0hmM ylNWzouXkdF7SLlE+/rcXDER8sWlfJjmtZxx8tf3J3Lu1AxoxSPkpX/99dej nHed3AJiGhYuXFg88/TTMdfNQw89VNx6663FP779dhxTYA79Mcj9d955p1ix YkVx/fXXF3fddVfMs+eaxCNmzpxZ/Gv47u7w2yWXXBL5dfLxkY/yAj/88MPF 8nvvjfmBX3zxxa44DeV8+umnxfLly4tld9/9tzzPDzwQ4y4880+r4o7MLzJU O+RcWnzddcXtS5dG/437tU1Z5uVrK1fGHDWLQj+ICSGbm6HdPXXr16ocnOCz zz6LfSBe5b333iuuC/VftmxZV67uVu3Sl+JfvC95d9iBUmztT3/60+K2226L OW4yMgYTrB/mPxnZ7IMTD7b8DynnpHWqUacwl/F9a6rcLR999FGc2+Z+lX5k 7ro2yWffpdwXVe0v/16nb6qe0Z26soWsDGsXu3V/o7FPfMqcxtqvH9Jvrs15 EfoGiUdssfnmxYUXXBBl0KdhTJB78hnOmzevSzb6V+6ikSNGRHnmWrJoafiU 9Vr5cPAGss3/8eYpU6YUU6dOLb744ovII8aNG1ccfNBBMY6TjJt2/PHFbrvu GvkCuOeUU06J+fmMa7ncJk2cGPMtgjlAfoqz2G/ffWM9rrv22mLKcccVe44a VTxw//1d7ZMP98QZMyKPkbPxyCOPLLYaNqyYccIJUc6aI3eF5+Ir1gG8ZvTe exeXX355pb/R+Gx3T536tSvH3JTXEMc76MADixsCHztu8uTirDPPjHO7Vbue e+65WP5bgVd4vr77fFWMi7n08ssvx3drvcjIGEwwf8yFp4Oucnfg4A8E/v3C Cy/EMUtGP/nkk8UjgWv3t+7dDng9XeCcc875hrySo9R6yga7zz77xJiGk08+ OepgjTneyDzlTJgwoWsfhu/kLqVrKYev2RqQYJ3zO71OrtN2+UyrntGdupIB 9BTyoL9tEtpMTjzxxBNxnNC36K5JF03jyO/GELnjnozeR+IRG2+0UZRfYipP njmzOPaYY4o9dt89yqSyXs5+cML06cWPx4+PctK95XdD5j8Z3tupgQOksex3 ctO4NA69z8MPO6w4PvCKlNteXKfnz5kzp+tvzzEGzElxyROCnLwk6PMJ7BXk 8lGTJnXFb/ATkpsXXXRR1zXKmROenfacGnOeZS7Se4y/WaefHufEV199FZ89 +dhjY+zSu++++40+q3tPu/rVKcdaOf6II4ojw990A/foz3btSsAT2Jn2DesB GxKwR8i3bD9ORsZgA3mEQ4shXGeddaIco5eQkWxx559/fnHwwQdHjj1YYA5a o2bPnh11nmbXfPLJJ9EOu3eYp/h/VY43Mp5cPuSQQ7pkonX11VdfLfbYY4/i 7/7u74pzzz23a+1Mv+Na8qZPDrqG57RC1TO6U1fvyhpGR8Q/+hPazJ56XFhj 11133Tgm2MyTTpv2EZx44onFbrvtFu0mjf7sjN5BM7+GMcMOflvgoOXxyi7+ fNB1dxk5Mso315TB/nDp/Pnx3ZXfmfL+WhEfkUBekp0zTzop/k0u4i+ezYaB h5O/54X5k2CMyD/PlpHsiI0xnLHcwHmmT5vW5Utkg5DvmV5DdtP9x4QxqP0+ V4S/zw5r2MVB1uP4jah7T7v61Snnn8M8wZ9Sv6zWXy3aVQZucsD++8d1WT2s CXfccUfOdZ0xaGFduvbaa4v111+/mB/WkzKMYf48OsZggTnI5jgtzEc8vQzy jJ8RNyLLjj766GLEiBHRtsIemXyY5bKqZLz1Yu7cucWmm24aeVXjM5R3Ulgn 8Jk69a16Rqd1BTYBawtbcn/nvhUTMmvWrMo+AXoUX/xPSvpnRu+jVXyEODw2 BTEJbAJpjNCLyUFyne2hbM9y/emnnRbtEc3sXFU8olFe0rt/++GHxWOPPlrc t3x51LXp5OeGeZRQKadT2UEvABwZr5k4YUK08bPh4c94jvvV17V8BXV9Z3Xv aVe/OuU04xHt2lWG9Uf8CT+StcEazJf01xwblTFIYY2xD32bbbbp4sXWE/5u coy+Qq4NFuD85Jm9l2XQu7SFLHPOw4UXXhh9CSODHsa2Qo+47LLLoh5tzYNm Mp5uxRexwQYbxPvK0B/23bHR1JHlVc/oTl2BfFAvvuv+Pg/LerpvkEN77rln pe2Y3fbKK6+Mft6MvkMrHpGAX7MJGGfGD9s8/8ehhx4abfBlG5r/zw7zqeyP h7S3gM2pHY8gU81Lv5sbnms/08RQZqc8wnPFJ54ZZPWZc+YUjwZeIq6ALAU+ xlNDW/Bu8rYMdcXNG1H3nnb1q1NOMx7Rrl2N1/It7zN6dDwr5PHHHiueLfk+ MjIGG8QL04MPOOCAqBsbw2L62LEHm23aukbOWp/KMQug7tax8ePHx7UR/6e7 a5f1kQwn+/fff/8uO0Irn4O4kO9973txHiek+DH+ns9rnvNT9Yzu1DWBTMAj rEP9BWMCx9x4442jL6fMbRJeeeWV6APqb5/L2obEJfGIRRU8gjzjd7sx6K/e E9l1x+23R07K18Bfh6MmOWmssUfyeyiXXQlXsQaQoThjirOcvUrWg/WBvYFd LtoIb701+vTtK6CHOBtLTEWKYTKG2OeNXXI62fbF2Yw7/PDIZYD+IgaRHd9z 2cHMu8TZ2ekWBr666667xmvI7hQnaS176cUXv9Ende9pV7865XT1y4knrqZn tGtXI6wDfELbbL11tE2Ivc7IGIww38XFffe7342ymY5sLtnnJNavJ7CemSvK rPOxbrXb+0BfoL+nmKwE65SYji222KLLftAom4GsGz58eIxF0PZWPOKll16K 5bETpHrhLosXL47PqovGZ3S3rgmu5TuwftfZM98b0Aayhn1GrGcjrId4zXnn ndfv/pa1CfrZXDH+N//BDyJvE+9nzLAZsruL/TVm7N1M+zPSedbu5cMQ28NX mc5/+PnPfx59/uKjlI2rX3HFFdE3gbfgBjgCXyLZiZ+wt9uTYD/C5+HZ9jAO 32mnGFeJu9g7OSpwlqlBLqsHbuI5hweZfNRRR0V7iXKS3j19+vS/+fkCr1bG jBkzIpfHicjoX//618XXQZaydeDS4hO1w54KcYq33nJLtNOUY0MStLHdPcpt Vz97P+33bFaOuSm2yjxm9yH7ky5Gd2jVrkafknXiuWefjc/ynIyMwQq6B677 7W9/O+q+fHX2DYwaNSr67syttGfRvGIvNb7JVXPEvGk8oyWBnds6h9/X+ZCp rfwn6kL+mufmXxnkqXXzH/7hH7rWzCrZbJ3Yfffdo24V8xm14BF0B2vFgWGt xIfwInvYnEfVifxufEZ365qg/8kK5eEarZDOsGn3KfvSq4A/kSHbb799XP8a gQPSs8if8pjxvfYqnzwyhnzIi7wvtHPE/Zl33hnl3F577hn9FHiBOD92d7Jr //32i/q0PVjOQrD/J+0pdD8eTDb5/p1VMZd0amPp2HC/vZz88vYseo/s93wV B4XvlK8svODmm26K3MM+EfJOHCFuy/dFd6efiEGM+x9vuCFyDXETh4U6Hx3q L47i4zCuzAExhfZJ4Cvm2qKrror2EftVcZOddtwxcpL5Ya0ypswpexnEee6+ 226xHniu9jVDu3v4CevUzxrYrBx1u37JkthXyrg/6GO+A/+2a1cj9OmVgc/J b5KRMVhBb+D745dP9nP2iLtXncOCZ7CFsmXzCdJhyFN6Ddvo2WefHe2X6Tyb voT1hY0U52i0q1sj7Yv60Y9+FM+aVJ9G2Uxu8Unw4ai3e1rxCLHRx4Q1kg2T TdicllvD/ztB4zO6W9cy6DBiWvC0ZvIfP2CHdW27j7a2OsPHO6arWh+r/Dl8 4ewUbODGjPHDZ8N3IzYUlyCn6HRklTj1Kt9IxsCCfmCMdjfHl/v/VynXKH5C Ptfdp+y+eP5TWHPMMz4/fgKcmg5v/j1fir/xPBy7kzPqu3NPT8vptF2gz+zb wOfyGZYZgxn2Bmy++eZxzU86b4qNMI7T2XL0Z3KEfDB/cA32UuO8Gdxv/Lc6 46r8aXd2kfMJxDiRTVVxG+SbeEW6GpnPB2JvO9lMn07nL2hr0sNa8Qh6GDkt /pSeTb/iP+7Ubl/1jO7UtQzrkFhTNtJmazS9SUyDPmv3sTflmRZxXMrZaKON or2q8R3hQXiRmJHEDfAOnMN3CWxNzinSDzlnakYVjFlxFmws6Vxu8818N2Zw 0qF4Hn3ddvneOkxnsibcf//9g2qvXEZGI6z59jzY78mv3QjywRgn+/j2xFix o/Iz8oWTHa1AL8Uz6J51Pnh6q7OL8Azn6JBDeEwVyH78BtdgS3XWgv0FdHv2 ST4JNpiEVjwi+R9SbCGdIcUQ4lLah3P5LsVkVX3fam9pJ3VNIMfxP2fh4TZ9 Desd+/iGG24YfeaNsOYtWbIk2r4T+ITE25T3ESebC/tXznGWUQXzhi9k7Jgx ca4bR+xl/uVTfCHMjaFox6rbLhzCuXR8Js5qWbBgwWo+zYyMwQY6sb0I7BHO gi+DPBTfQH7QLYHfY0yYB2QdOdfOVkn/tK+JjKzzwU1a+TdBnDN7PrnVzC7g e/KaDj127Nhi2223jXMTF2rUpVvxCOWwQ6633noxXkRMAuBX1oAk68V90hno FlXf40atnlG3rgnWFZxm0qRJlTFlvQ31wFc222yzyCPK79044S/nbzJeEtKZ v3wy+IOPfYH855lHZDSD+cBn6izvY44+uhg9enTUXS6aNy/qGUM1t0zddvEn yenhbCpzJ587lTGYgfvSe8VFsNuzn5H77On8B2SDOAR28/L+MHsRt9tuu7iX YyBybrAJihMTt1B1NiSoF/lKltkLLlYRF6rKWdHurEkxhTvuuGPc853upX/T KZzFpK/kE5i9am951ffKbfaMTuqawM/Bv9DT/TSdwDOte2wM/DBiJXED3NKZ EY3nUmkPXiRml07lg2s46zLziIw6wF9x9jUtHrddu1JsdN73lDHYQeZZ13EC MfjWdrLSfjH7A3bYYYfImenGQN6JGbbfULylvR1ky0CMdb4S8XrJPtAI8k08 w2mr9reJ63A9O0HjuXHteASfpX0k5bN2fSeWQfwCO4IPecrfU/U9/0WzZ3RS V8D/vBNxFf2Zr8u6h994rv0rdCWxD2Ir2Coabc3Zr5GRkZGRkYAbs1k7ixmX SLqmfYADcTaKZzp/R1xBT32l7XgEn0RjG8VEib/kC0q6BTsJzlD1vftbPaMT iPm+4IILKs9w6A+Q/+ogzpzNNcWFNIKt1rkbjTwCV8Ujcvx5RkZGxtoBdgh6 sfgF5wOkvZL0ZecosWmLxexv26M4Q3p7T2O32/GIKvBDiE/gW2GTEbPhzCr8 qup7sZK9wSPwOXsq+JqqzqUeLMCftNvek5RnKOV5987s48Ap1jR7dUZGRkbG N2G9FxMhps/+DLyCji2egh1e3CX/Qn/rl2JE6eTsEj2RR2ScOAOyv+5eRFyK XUZMtTOG+ST4Wpp9351nVMH5DmJD2CMGs+8Uz3K2n3hcMR/2EOsD8Tj2sRoz 4k+HYtx9RkZGRsaagbT30TlOzWzrdWCPhdgHcq1Tn717k67d6vuePKMMviU8 ok6O0YyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyM jIyMjIyMjIyMjPZIZ5vJsdLq879Lubt7CnuM7TOSfy7naR38MEbk6XD+3Vdf ftmj/WzNYEzY6+8ZciIZkz0dbyn/qfFrrOUzb4cOvHv7+Fvl87aHcSByafQ2 tNXYLLfNXEg5coxj7aybx7wZ3Gt+mRPK1H/OxnYWx5///Od8/lJGt+EMEblx nQN31cKFxU033lisuO+++HGO6j3LlhW3hN8efeSRKEt6A8ZvOhPfczMGL3CI Tz7+uHji8ceL65csiWf+PvnEE7163oz10nrmGXIrnHLyycXNN90Uz7n1/O7C evnhBx/E8Xvp/Pmr5SLIGNwgK50z+PTTTxd33313zJUgN9XLL78cz2eQI+KR sCbJzTTU4YxrZ1o7x0FbH3744XjuZDpjMvWF3/WD8yhb5TGvgrlgnb/wwgtj Pi/cwZld8mrJTeFML+eD9mS+Zay9sIYbP844+4dNNom5b998882Y+8SZZ847 dU7ZaaeeWvz+88975Zl0Q+eK7Tx8eJRLGYMXzue78YYbYg4D/5efF//rzTPf 2B/wBufeHz91arHfvvsWWw0bVkw57riY07S7wHtfeeWVYuqUKcUB++9fvPH6 671WZ7A25/P4+wbWJfmenF+8zjrrxDxRcjc+9NBDMX+UXEwHH3xwlH9DHcaR sxWPC+N93XXXje2SByKNrbRGk/nyUq5cuTLe0wnMXRzd+i5/qn6T8/Kwww6L +dC++93vxvOx8ZWMjO7AenvjjTcWw7bcsrh60aJv/G4+4xNfBB7bW/hF4NtH jBuXecQgx09/+tOYl9z7B2tap2tYKygPZ2WXSvYu69y5c+cWO+6wQ+QwPQH/ yPXXX9/rPILe9utf/zr2T0bfgM597bXXFuuvv/5qeZWATfP18D7p6GsC2Ahm zZpVbLrppt/IdQ10L3MEh+8O6IbyoSrj1Vdfjed2mxvwySefxHyq/+2//beo J2RkdAfmK/tAFY9IvvE//+lPxX+GucvHJqbBx330UuPR334r27v93+/sc/wn rks+P7Y5+dXwCM/gn3P+eWMZ6fnmkXIafdx8eu5xjbL9qxx1q6qLclJdGuVh 8tG738da1Q7t7umkfs3KUYa/3ZP8/ervnnbtSv2X3plyUh5x5SmrSqdO74Sd dc9Ro4qHHnxwtWtTjEt6t64tP7dVnctwn5xGjbmIyefdg+514QUX9Kj/I0cO XKSRR7S7r9XY1Tf0tnkXXlicdeaZXf3S7j2166864wT4yr1L79wz1tS4D7Yo +vM222wT/Rigb7Rf37Fj4ZxrAqyH++67b8z9UJXrytnTco8999xzHZetr+65 555o52DL4FOWo6sMesLmm28e7dIZGd1BKx7BHob3W/dcx96G08pF88zTT0cf NlujfC//GMZn8q9ZF/8Y1kx+vhUrVkSdEM/+zW9+E69JPAIP/tfw3d3ht0su uaR4MMir5Be0jps//IXL77032tb5RpPeqpxPP/20WL58ebEsyDt1efCBByJn 98w/rYrhtA5bd7Xj9ttvLxZfd11x+9KlkaO7X9uUJQbptTDPbrrppsjXxYRY 85uh3T1169eqHGuAtVIfiFdJOfrYdsmudu3Sl/yi3pfciOxAKbaWrL7tttui TbURZJS+tq78aLvtYt5h/mhrnLU81ve11yLPMHa00djwblrVuVHmNbNv6ItD Dzkk6qPd7X+o4hHt7ms3dvXNksWL43wxht2LCzVrM27Rqr/qjhPwzsUEuPbe IBvMizU1r4FxPGLEiJifkU3UPP7yyy/jeO1Nm9hAQ7vwpI033riYPHlypc+Q f84cFNfQKZJPQ05L46cqNtVc33XXXeManJHRHSQesUXgo/Q/a9qnYd5az+4N 69S8efO61lj/XnP11cXIML+tk64li5aGT1mvpStYe8k2/xdHNGXKlGLq1KnF F198EXnEuHHjioMPOijGwZFx044/vtgtjGV8AdxzyimnFFeH51k35GWbNHFi 8dhjj8XfyUjyU5wFn7p6XBfkDr86HfqB++/vah8+fuKMGVEWyKN75JFHRh/8 jKDvkLNkwF3hudZluiZeM3rvvYvLL7+8Ut8z99vdU6d+7cqxfvJlklkHHXhg cUOQaceFtYYe/NFHH7VsF91F+W+F9djz9d3nq2JcyEoxa94tudiI/xvWMrZW 73jXXXbpio+g/1rLvdfZs2dHefmH8H6XLFlSjB07Nsq95H+tqrOx0A7eNW56 2KGHRv2pCnX6Hxp5RJ372o1d1zwb9DdlnnrqqbFf2FOq2nxmaDO536q/xJjW GceAr7Dx0ym1TT+14lpDFfilmEJ++4lh3LJNGOP6i87SE1injG1l1vkY7325 L4QdyjvcYIMNIt9vhPnw6KOPFuedd1634pvxMbGUzfpN+fju7rvvHmNZMzK6 g8QjNt5oo7ieiqk8eebM4thjjin2CGOLTCrreOwHJwRu++Px4+P6595y/LBx Kab/1MABcJH0DOshP8b7778fecThhx0W4+rYb0Fcp+fPmTOn62/P4QMl9+hd E4KcvKTkI2SvsN4eNWlSV/wGvc96fNFFF3Vdo5w54dnJvkwv9Cz2PPyfHjnr 9NMjL7Kue/bkY4+NuXar7Ix172lXvzrlkEPjg957ZPjbuuYe/dmuXQl4AjvT vvvsE21IwB4h37L9OM1g7cQjybKnV93n3XofbAXW+QT10gbvlKxsVuc6IJfV 94og15vFc9bt/0Ye0e6+fwpyut3YhZ///OexD6ztCVVtZi+q0191xjE8Fzjv 0UEmvBnq7H1rg/iSNQ3GLN3429/+drF/eHdiDMUFjgpj0ftjw8HTjRXcLu0T NmbZfujtVT4h0Nd0e9ywzge/bOc/Sb7Cdh91bKwTfWDatGkx3rFKjuMxd9xx R5T15Xb7PuXvNM71g095D2fZp1FldwS6ivykxnKOG87oLpr5NYx3dvDbAo9N sh6M5eeDrrvLyJFx3XRNGXQ4++zM/bL9UXl/rYiPSLAOW8tnnnRS/Ns6ib94 tvnB52FdPS+sAQn0QLnk2TKSj7sxhjOWGzjP9DBX09kHbBCHBH2QPZEssVaM CXNN+5MMO/uss4qLwxpetV+w7j3t6lennH8O8x9/Sv2yWn+1aFcZZCVZKv5d Peh21qYkF6tQxSOs0QsuvTTKxfKeu8hhgg6/8847x3WrWZ3bQd3wm8svuyyu k81Qt/8beUS7+8jpdmMXqnhEVZvr9ledcQzsEfRz711dlb8mnKHQCNzK+jAy rDHJb2PM3r3K74NnWA/4AcQP4mpkIH52WRg7Z599duRX/bGPET+wTom7bfcx 3xp9peppP8pBBx3UZS8swztnp8CNtVsfjA/v37hgKzNe+D34LY4NfNgakPg3 u8vcuXMjT6kaJ9YN/YhX/b4X4+gz1j60io9gxzZvrcdlLm2+GsfkOv3t/y2t sa4//bTTok5X/r6MKh7RuA6bC7/98MPisUcfLe5bvjzOH7qeWP6EyvU3lT17 dvybbkI2TJwwIdr46Yh0GrLC/errWnb3umex1L2nXf3qlNNMJrdrVxnkJ/2O H4mvQEwFX9Jfm7wfqOIR/F1nzpkTfQ6NdhrcZYegU7Hhd4dHkNtiEm4NY/E3 QWdshbr938gj2t1XZ+xCXR5Rt7/qjGMwV8WpsC0N32mn+PwPwxxpVdehCP56 cX/kpTUIUmyEtqaYJ7ErZLC1wXjFNfiF8OZmcD/O0eqMq/Kn3blPbCHeJR9X uw+ZXrYVgns32mijOG8bn4MH4dX2uSZugHfgHL5LYC/hA7Z3s3y2n2vTPo1G 6C+/8xvjIxkZPUErHpFgrrAJGNfGM5sr/8ehYX1kE7Z3KMH/Z8+atZo/HlIM vDncjkeYT3RKv9uT6rlJF+uUR3gu/Yav2prO10gHfH1V3B27ojluvpG3Zagr O2Ej6t7Trn51ymkmk9u1q/Fa8RD7jB4dYycff+yx6ONvhSoewdY0P/AR5bwU 1vpy+U+F9dC17K+d8oi0B0LsS9n+muLzG1G3/xt5RLv72AzajV14O/GIkm2s qs11+6suj9AX/xHmoj7Cd/CQk8Lz/lAj7mSoQD8vXbo07vcs87QEY4WsZN9n kxd3Yh2yJpkD5G4r0OnxDHp7nY942E7PfaoL40DM7IYbbli555KNQCyNNTBB HJR1sLwXlk7B1mi8pNggvNz8xTkabap+498RE/xOyZ6c1veMjE5hrRW3jkcs quAR1k5+O+uxMUZ23XH77XF+sYntscce0ZaY1j/zW9wQv4dyzVvzkD5hbaSX pTjL2aU10trI3mBdpAfwp9C77CtI5wzwJ4s9TrYR+gcfpvU32fbNi3GHHx7l AVh7zT12fM81N9PZsMDOuPDKK2O8smvIoBQnKUapvP4n1L2nXf3qlNPVL0Ff KftW27WrEeQiubfN1ltH2wSbeCsoHy8ZFd5v8pOo2/0rVsR4WO842f59Tx6y w1uzmtW5CtYu9l77D3CdtEfVuKFr68Pu9n86P2L//faLcqbdfeIg2o1dMPbZ GKzdyff930O7G9tct7/qjOP/L4x5XOvVV16Jf+sjZfLRvNlC/x5qME5xXfYI cq4MY5L8I3tTXAi/x5gxY+KeSXp3O9sM3d24Zo+r88FN6sQHdwfWMXEzm222 WeQR5bprq1hp692/lOxzKZ6a7wZ/8DGGrJtlHpF8GuKDy9wgnX1Cd6QfGONp 37hxmG0TGZ3CusZHIZZr8x/8IPrJxG6Zy+YbO+/jjz8e92daj9P+jGQncy+9 aK+99oo+ynT+A7uv9Y3NUdnWTPOE/RFvwQ1wBH47a7lxzt4u1l2c++fh2fYw st2Kq8Rd7Ikj05xPqB7Wd885PKy14pHZS5ST9G7+QmX/7pNPYhkzZsyINmGc iMwwl74OstS8ImPEJ2qHWHm2R/Z1c60cG5Kgje3uUW67+tnTZ/9hs3KsEc6N sfeN3Sedjw90sVbtalxPrVl86p51XZsY/7S3k5zaaccd4zv3bpVBtuN/3tM7 YU3TVmuPuAPnUlrHmtW56jl8V3gNHQsfjZ8FC4oLzj+/uGjevOJnFXGEdfpf 2caJ8Wfc2J+JE7e6z1raauym9dh41DZndPm/eaD/q9rcrr/IizrjWN+/9NJL sU+U4TsyTkx0FdcaitBu+7LERTg3wtnN1iHvEYciV/EtY76st9grs91228U9 CUMtXgRfZE8x/tnDvH/zHj9yZkTjuVR4hL0+4k4XhHnig2s467LMI/As4wkf TjAnjBU2zP0Ct8Yz0oedzjg1dzMyOkHc43bnnXG87RX4vPGMF4g7Y0+1JtLl 6Em4Kz3g5JNP7tpT6P7FixfHddn3yUZmLIv9EfdDF+OXtxfOnGdPZqdjb1O+ sqwT1lTrt30i5J05hWM7n4VOhreLiYv76oKegGuIm6AXimEXR/HxRx9FjsOO Lf4dX8HLF4V1ho5pvypuQjaSLWzOX67KPWUvgzhP5x+pBxnaSg9pdw99sU79 6MzNylE3eS30lTLotin+0L/t2tUIfXplkIn2DbYCGWU9xx/Fy88N6xR9nBz2 3rVDOcaIPaE4HzlNDrSqcyNwSnv5xNmw8Zc/5Lw48mZ5wdr1/19CG55+6qm4 J8hv4h3J9Hb3tRq7Cd6tOEkxrfpAXEqzNrfrr7rjBC99JfyLRyvD+/Ev/tKb +U4GEvxOZCJOYP8CuUjmGYfslzvssEMxOnAr9nrAGVKuHr4qY9UaNJT6w3tN Mv/AsLaxM4h9INeteY1+hjp+De3nk3HWNn9wgnltj92PfvSjYtiwYat9ttpq q+hH7isfTkZGd2GeW3+7m+PL/f+rlGvUHLHu1o0rc1881+fBB6MtWuwGmzv9 jw5/zTXXxL0n5ed1ekZgd+7paTmdtgv0Gb8wmdhb+7vSWVit4jX7Gt3t/3b3 tRu7KU9jJ/7knvZX3F8Y5A4upG4D2e8DDeOZvR+XwiWSns7G2c5nNxhhLJnT 5jA/XzP+bL7LRdPII/AtPCKdrUpfU86adGZXRsZAgK4vzoKNJZ1tnPJJW8/Z l8t8faigbrt8T1ayyYjlYydeU3ISZKy9wPGMZ3ZJcS7GPrnLhrPFFltEf0Dk a2tYLmy2C74t/rO0h/uvq+Jm+L/Yw3CKNa3dGRkDCbZlvpCxY8ZEex6dRfyA f+0NeOH554dkfHLdduEQbMBs+GycfKlpH11GxlAFWSkmYtKkSXF/Bl6BT+PJ /GHiLsV1rWnnKomLEccjptT+HjZIXIKPyx5Z7aYnDMU1LSNjsCL6pj/+OJ7l LSaOb1UMiFg19sGhuu++brvY5OVq4Mfnd2117lRGRkZGRkZGc7D1sQuuaTa/ du1KZ/YOpdizjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyM jIyMjIyMjIyMjIyMjIyMjIyMtRH2Azp32tlE7T7/p8k5rT1FOofRM+Sd6+n5 0v2N3q6/d+Ic/P+5KtdURsbaBnuYnaXkjMpmH+cvDaacXNaAVvUd6Dqnc9zL 9XFOV1pjrGPqln5z7Zq2Rz6jb+AM9ocfeijmXJCvS+6hm268sbh60aLilptv Lu5ZtizmCF+yeHE8N64vziAw/z784IP4vEvnz485cIcServ+uIj3IOdlOTdU RsbaAjLMWc9yA8qzKl+VfGRyoL744osxj708MvLODQbgPM6il3NOnZ0vKRer /OTOl/W3fx8Ka+1A5eWmL3q28y71qdxycpqlNSb1ud/1t7x8OWdXRh2QeSdM n17MPOmk4r777ovzYMYJJxRb/vCHMTch7iBntPNn5Z+rk/PFNZ2cR+vMRfkV 5TGU3/CN11/vSZP6HT2tf2N/ffXllzGftRybzv/NyFjbQEf+3e9+F3NIrLPO OjGHu/zZ5LA87vJhHnzwwfFs7MEAdXVerPOqL7300pgD2fmy3/nOd4rJkyfH NfSEsK7uvvvuMbd5d0GPY9NwBninsM44R9v5+Ouuu27sP2ffprVHn8tZcuKJ J8Yc5CtXrsw5vjJqAZ+/9ZZbol0C6MILr7wy5uw19hPk06uTJ9K5ivI8yHPc CcyL60P5Q5FHQHfr36y/2BOzTyNjbQZdWD739ddff7XclkCWvh7m2WDJOWcd Nf/lPQfyWB5w+c/l7wa5POUUk8+zu+B3kGOcvaA7kK9v1qxZxaabbhp5WSOs /3KdycOekVEXxhXbVkIzHvFv//ZvXTlh2L/Ywr7++uvox0+clUxkF5t34YXF WWeeGeMFEu/wG71d+e5tjCHw24033FBLDuPk7IipDinfZfn3ZnUEMlo7rFMp rkEZ7mv1m4/2yJXj47p29W/V7mb9lfyUqQ6dtItf0/P0h3/VUznt/FGt2tZJ 2a3Kade33ql+Su+03LbUj3I4+ignnfed4nvWtJxMazvkj6HDb7PNNtGPAd63 uWFsWJM+++yzAa7l3yBv3rvvvtv196uvvlpsu+22Mf/m559/Hr8zX3GJnuTJ M8b5TeQ57Q74Kvbdd99oNynXN0EedrlSn3vuuW7XMSOjGY8Ac/gPf/hD8dpr r0X/mrxzy5cvj7axJCvFUQzbcsviiCOOKB595JE4VskH45M/bvm99xZ33nln 9HG6J6EujyCL/hjkKO7DB0MHwKt/85vfRFnTro7WH2uPuvDjvPfee8V1110X baV+b/YbGRrLXbmyuOmmm4pFixbF9pF5zerfrt1V/UWv8b36y11oLa3T99r+ 6aefxu+Whd+tV/Jz0Sv005+C7G0G97ZqW92yW5XTqt+tjbgB/VLu0sXh+9uX Li3efPPN+FzrL+5Er1u4cGFcQ38R3r/n4RtsOcYqnpux5sD7HzFiRMyRzW+A N5LX3vNgtrcbl+Ii1ltvveKUU07p1ZiynvAI9cDHNt544+hrqcoJyj977rnn Zn9qRo/QikeYw9b42bNnRznwh6APLFmypBg7dmyUJ9b0Z595JspSsRR4OO4t tsd8uvrqq+P8F3M0aeLEGHeUUJdH0EHwBvXwf2VPmTKlmDp1avHFF1+0rSNZ xqdKdh904IHRV3NcmFPsAdanqt/OnDMn5uMWh4oPsCGIgxy9997F5ZdfHm0E VfVv1273NfYXuSk+y/PHHHxwfG6dvueXIoN3Hj682C/oG96dGIspxx1X7Dlq VPFA4CRVsLbok1ZtI8Pbld2uHHKgWb+zBVt3T5wxI/JBbT7yyCOLrYYNi7E6 dCPlvxXkiufrw6Tj4ZVi7+bNmxfHbsaaAbyZ7f673/1uMTG8b3za2DDWq+IL 0h4n8s+HndV6YExUyXHy2DXKrfMx/+rus7AukcWbbLJJpS7WST2r6t1dHkEX 4ifaYIMNIh9vhDXK2nPeeed12fp6UteMtRfNeIQxxhd56CGHrOabM8dmnX56 cfhhh0X5xvfnGmMx4Y033oixnO637v/sZz8rJgQ5cUnJB1eHR6jDk6GMU4Ns phMDmzY5dsYZZ8Tn16kjnX980P+P/PGP4294eYpLrvpNn9CjlUHOk9naNPnY Y4sfh+vYXKrqX6fdVf3FH8C2mHhE3b5n+yDbj5o0qfgizHlgvyB7L7rooso+ 1b52bYN2Zdcpp1m/K1s/zQnvMPlu2FxwkGcCzyqPTfuI9t1nn+KZsJYC7ioW 2L6ijDUH3vUll1xSfPvb3y72D3NK7N8+4b2PCrzVOCuDfMdb2fsuvvjiYsGC BVGOu8c8qrJdGHOuoYPU+eDCdX0oxrkYRrGh7IXdrWfys5Ln6WO+sCnQIcrf +7Tbo4mvT5s2La7t9r40AlcSv8FG2J0+zchIaMYj2KsXXHpplGXlvVZxzQ96 58477xx1yiq56Bq2bfIRn33wwQej/DkvjMuEOjwCz7ev0lhujBv46yq7f506 /vOvfhXluT0qjaj6jUy0jpDr5JjPFeHvs886q7g4yFB7XqrqX6fdVf1F//eM xCPqtkts1/HHH19MC58Ul8D+f8S4cZFnVaFO26Bd2XXKadbv2vTj8eOL6WGN +9+rzijhwzhk7Nguv3gCbqKPxfGrBx3V2vf+++9Xti9jaAIv5usbOXJk5N/g Xd+9yq+WQHay+82cOTOOw+SL4yfjN5sxY0a/7l20Fhm73//+96NNLfkwu1NP c0FbxWGnj/gGtgjrRfl7Hza/Kl9FgvhM3KYcs1HGL3/5y2inYJcdTH2aMfTQ jEd8GsYo+/5hhx76jfgca/0O4Xp29yq5aGz/9sMPi8cefbS4b/nyuBbQSc+d O7frmjo8wpw6/bTToj2iai9D3Tp2yiM81x5YNvhmnL9ZfES7dtfhEXXbVSnr w7pjPVb/Zn3arm3Qruw65TTrdzZT/HDihAnRd2G9onPii55bBr5CTz04rIX2 pYmpsK7+Ne9tWaMgjmjzzTcvxgd+meISU2yEuZ9ic/3GX8ZW0Rgf82GYe2xV bPONUAYfQbtzozo9k0mZYoPsMSnbALtTT2PfWOfzTJ+Twtxh69hjjz1W+96H jK/iBwnWio022ijOq8a2iOlQB/tp6Wvd6dOMjIRW+zXmhzG9z+jRxUthjieY y0+F8clPzh72dpKLq3Ru45UuitfeeOONcbzivXyenfKITz75pJg9a9Zq/vFU BzLb73Xq2CmPYA80T48++uiu/bEJ1g1zqrH+ddvd2F/QyCPq9n13eESdtkG7 suuU06zftYP+eWbgIPhSOr/n9Ypx4FrxEPritMApH3/ssRhjkrHmwFxeunRp lMVlfp1gLuGa5gk71DHHHBPHYbJlJSQff5Uv3zrHtsV2UOfDP1FHB+fTo8dv tdVWcRwndLeejehufISyxUlvuOGGxRVXXPGN38U+8JVYq3qrrhlrL6INfcGC 4kfbbRf3ESfg4/evWFHstuuuMVYn+RV8T4axb5Ob5hu9md3ZeOO/dj4Fn7a4 et+xr/Hpn3POOVHeGpPp/IX999sv+t2rYN3w7F1Gjoyc31pgbtNTyDQyt04d cWx2gZMCL2+cD1W/sevhVruGctnQycQUfyimnGxvrL/5d9utt7Ztd2N/+TgP e1HQB+jcfq/b9+y+fLlkfZr/9rWMO/zwyL+qUKdt0K7sOuU063e+WO/Ofd6j NU0bm61VOCTetc3WW0d9zZjNWHPg/eKI7BH29pRhrIhtIBPNJ9ycfm5sdiLb xDrgquRxnQ9OgM+3Ax+MOUCXp7sndLeejeguj7DeiK3abLPNIo8o23P1qVhm 65K+7a26ZqydMJ6s9ScHPv2DMN7OD7oAe1ySW+aF/QLi7N8J6z6/Pz8av/jN Qa4bq/RKsXXHBL3U/98PeqzzoofvtFOML/SdvYOj9tgjnv+Iv+MC/mUH9L29 glU5KoxpfoAxq2KYXE+Omhd8BvSYdnVUrr3d9pKpJxmU2uffqt88FzcQ97fX XnvFvQri//Aj+y+tL43191znibdqtzWhsb/4OPXZBeefH5/Fhui9tGuXa/TN 4UGuO/9GPIb+SLr79OnTo2xvXBfatc1z6H/tyrb3037PZuXwXTTrd23WR/yu zjoWA4Z78Pl+Ha5r9GEZZ88FHdGzPCdjzYFxZV+TuAjnRtj7TOabL+L+yDvy zVhhF2MnYwPj/2g886Q/YSzj0sb6t771rbiPil0u7fHorXr2ZL8G3u+MTTZR MUnmsXmJ+4idTOdSDZY+zRiaoAfaj0dn3GvPPYvjp04tng5y7OtV+h6Z8/FH HxVXBrnNli2W1z5/cjPF97A3iv0TI+caOgP5yK/n/BO6K14sBi/u/wvzwXj2 HM/DEcQUlrl8GXiAPc7HBllEP6ezq3M6I75dHdkurl+yJMYaHR1kIj3fd9Dq Nzq4PQL2Huy+226xnmwDOMRfgnyuqn+7duNPjf1ljWCr50Pg77jmmmviOtqu XcoRg8G2oe5iMlzPpsTXYq9Fsos0olXb0jutUzabTLNy2vU7+ws708gRIyL3 2mnHHSPn4s9J15VhHdQXzlnNWHPAP0Yvdg4k3yrbOn8XX8G4ceOKHXbYoRgd uOu9994br8dznUNN/2fTKvNk/Lech6ovgRezbxj7w4YNi/LafE/+196qZ094 hOdYj+kCB4Y1yDne4iH4I9U1reGDpU8z1nyks4Oq4ttSXrly7HA6nzHF9/jd /d0dj8rDHcpnWXVSx+7Cc9lo6ub0rNPuqv5qhb5oV6prJ23rjXK0PZ5r9eCD 0YcjxoVNjP2DbQKPer7hbD19x7dd55z2jDUf9GyykW8Qf8db2QL44vjJWq0R /YneqKc5xQ5YdaZ1XSjDnDPHxEI0xkD0Vl0zMjIy+gNsGOJI7MNJ55unPOy4 Et8Nf63vcRM2M3ZX9u7BklshY2BBRxYfROY5R5sNzNlvYjXLe0QHGr1RT7yb 7SOdczuY65qRkZHRH+Cz4OsZO2ZMPDOTHVVchH+d+/nC889HOw0OwZbNbixf oVjgnuQpyFjzgH/SrenOPbWp9SWGSj1hKNU1IyNj7USM+wi61TVB1xFryvfN t3zRvHnRz5H8P+yocnqII+HXzedOZWRkZGRkZJTBZsue2uy8n7x3PSMjIyMj IyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjY6hAbLwz Ae3FL3+cqy4u3p7h8vfOCrKfX9y8fA1ySvXXGakD8cz+Qjp7SR/LP9bTvdpr cl9lrNkwD9rl8bY+pdwVa3M9B0MdMjJwCGcGyiElV/Xi664rVtx3X8zx/H8D X/jX3/ym67elt90Wzyj+9He/i7JOXojLFizoym3R1xiIZ/YXrAcffvBBzGl2 6fz58Sy5nmBN7quMNRd0FOvRihUrYh4JObtSHnnnkvnbvw899FC8bm2u52Co Q0ZGAs4qD+/WW21V7L3XXjGnXtrDTz++8YYbij123z3mp5cfzm9fffllzLU4 95xz4ne9DXK1MXdCXz9zIOGcJfnH5AKV++qN11/v6P7G/lqT+ypjzYXcr84Z 23PPPWOuqMWLF8dzyb7zne8UkydPLm4LuoxzmncP69Gtt966VtdzMNQhI6MM OVv23Wef4sfjx3fl2sR35Yebd+GFxQP331+Zv7kvbObOInI2shySjeirZw4G 8Bldf/31HfOIZv21JvdVxpoJeVzNAXk/QS4V+aLk/3z22Wfjd/I73HHHHXHN WpvrORjqkJFRxj++/XaUX3KGO6eYfx6H+MnFFxcPPfjgN3JL8uenXJZ04QSy i32Dfk2G+VceWteVzyH0f/qz33xSnnsy8YMPPojc5awzz4z2kKRnN3um73Ee 9vuvv/66K99TK7S7J8WGpN/FGjS2U51TXVLsiPta/das3aCv2H4aeYQ+8Rtf hfqUYyea9VervmrVrk7eYbN+bda+no6NOn3vneqn9E7LbUv9KP+XT4oBUhdl lcdaxsBAvpV333236+9XX3212HbbbWO++ZSD25glHwcyv8pgqOdgqENGRhll HmFs0m3PO/fc6FtrPKfYumutfu2112LexZR7zjr96aefRh+JmIqYD/qBB4qf /OQn0Yf3p7B2p+vkrHtt5cripptuKhYtWlQ8+sgjce1X7pLFi4thW25ZHHHE EfF79Wn2THX7Y5CJ8tx6Bn4up678tp5ThXb3eFasX3jW3aEdt9xyS2yTfA/k ENn02WefFQ8//HBx3333Fe+9915x3XXXFcuWLYu/N/uNDG3WbqjiEeTiv/zL v8Tylt97b3HnnXcWL774Ylfe3qr+oqdU9VW7dnXyDqvQ6r32xtiAZn2vPXw5 r4d+k+9LnM/tS5cWb775Znyu9RR3oqctXLiwuCH08y/C+/c8fMN4ZweWszxj cMC74etfb731ilNOOWXQnoc+GOo5GOqQkZF4xMGBy8qZdPTRRxc333xzpV5v TRbPc9CBBxZjDj445mYE67Q1fOfhw4v99t03rst89FOOO67Yc9So6BsxvsmB u4I8JBfp0uIBR++9d3H55ZdH3vzsM8/Eupx66qmRV/uu2TPlocMByA3/F080 ZcqUYurUqcUXX3xR2dZ29+D5fps9e3aUU38I14gNGTt2bJR56n/VVVdF2a0+ NwQectzkydEeQA5V/XbmnDmxzs3azUZQxSPUzbogZy8ZKnZq0sSJMX4K3NfY X+RmVV+1axf7RZ13WIV271WMRk/HhrZ+9dVXlf0786STYizwiTNmRD6ozUce eWSx1bBhxYwTTogxP8p/K/AKz9eHSWfDK19++eVi3rx5kX9lDA6Ym+cGXWaT TTaJ46UnYGeScx6nrvMxV+rucejNenYXg6EOGRmJR/xwiy2KXUaOLLbdZpto K096YCPYm6+88srV5BTQncmGoyZNKr4I8xbov9buiy66KOrXdMlZp58e5R25 8MYbbxSTjz025oRme+DLO/SQQ4rzzjuv5TPJ1SefeKI4NchZ+i2wT5NJZ5xx RmVOyHb3kK9PhN89/4GgLydYW9T58MMOi9fQ+ccH/T/5gbRLOVD1G/nUrt1V PMI1J0yfHutE3v3sZz8rJgT5eEnQ4xOq+quqr+q0q847rEKd99obY6NZ/7Kp 6Kc54R0m3w0bBQ7yTOBZCd4DviEW6Jmnn47fsUc89dRTxT3LllW2LWNg4D0f HMbvLrvsEt9vQtrTjJv64Af4v3fbTA839shZ+kKdD96K0/akns2QfGntPuZ7 XbtCszoow7piLvngR39sYVPMyOgJEo+g48W43yBvdth+++Lyyy6r3DfoO+tx I48Q63P88ccX08In+bXZj48YNy7KaWPZHHWf+32uCH+ffdZZxcVBltjv2IxH ND4TB7dH8sQTT/xGDEBjPEdCu3vY1Bdceml8vrmZEOVS0I133nnnaD+0L5Y8 pwc3ouq3Ou2u4hGei8vhBdbKBx98MMpdPqeEqv5q7Ku67arzDqtQp329MTaa 9a82iRGePm1a9B8BH4Y8408++eRqdcVN9PFZoVz1YL8Qi5ZzkQ8emI/e3/e/ //1oV0p+NzYCdir+vYsvvrhYsGBB5AfmM97cGOszUPVsBvzAfBYX3e5jPDbT 4+rWAW/g/zOv2PHmzp0bfXoZGX2BcnyEecr+aw/R8OHDi2uvvTby/zI64hG/ +EX03Z8xe3a0AfiXD6BZfui6PEJZp592WrQt1N2X0O4eZ2PwQRwW2l6OYQLy CLfiG+iUR9Rpd7P4iN9++GHx2KOPFvctXx51bO/o3LAetOqvxr6q2y5o9w6b 9Wu79vXG2GjWv/RS/HDihAlx7NK52DbIF88tA1+55JJLog9v5cqVMabC2tqM e2b0P/ghxMesv/76XTYwY4Kfb+bMmZF3JhnrXYuRmTFjRpdNsBHmujLbndmU Pvh1qzHYqp6twPZlvvFBtvuQ+WVbWnfqwAY5IcwJXNlaIt4N72oWO5aR0RM0 7tcw7+htbGUjR4yIMXllnttdHmGPkjki/sJ6Xob5gK+8neRiSeeueuYnn3xS zJ41azVfN6S4/arY+3b3+H1+kDH7jB5dvPTii6v9/lSY/3z5YiY75RF12t3I I6xjdHBr5o033hjn/i9/+ctiYqh7mUdU9VeV7aZOu+q8wyrUaV9vjI1m/asd /DJnBg6CL6XzeF6v2D/rWvEQ+uK0wCkff+yxGGOSMXjAr4UvbLXVVvFdgjgp OvU+++zzjXhYe9X5phr1nQQ+D+sZvb3Oh2+gGSdpV8/+RrM6GOe49OgwzrVJ e6x5Yo/b2U0yMroDsoi9nN+ZPQLYEMX17b7bbjFmQpx9Gn/k1KIwp+l0ZX8c 3su/SFYk+7J9EeMOPzzKbzrEwiuvLHbddddoSzbv0z5E45uMUx69md05+QrN icZn+putRN3wcWuFucKWRz416t2p3q3uIXPvX7Gi2C3Uz3XJTqqO5CwbPNlu HcO5Tgr6bqMPs+q3Ou1O50fsv99+MW5A/912663Rl28/gX6wF1cswznnnNPl P63qL+dhl/vKs+q0q847rEKd9vXG2GjWv8aqd+c+75HPXBub+Zetp3jXNltv HW0T/D4ZgwfigIwDnCGdZ8POf8wxx0TemcZPQoo5aPa+xTrglexOdT7kMe7d nXr2N1rVwVxhj3AWFV+QNuUzZTJ6G2lPP1vbiBEjin0Dl3ghcIe0t/7rsL7y O27wve/FGB77HMjcD8KcvuD884u99tor6gHWcfoyG/vhQS44D4U/n46fdL/p 06fH/X329Il/c6+Yfba7W2+5Jdo8xAHQK8XWHRP0Uv8nE/4z1IedpPxMZXve mFXxRWx6ZOIVV1wR7f9+b4Q2tbvHXLSnwT6Ad4JsUif2VD7GmwP3INvs1T7g gANiPcmgJJf9W/Wb5+IGzdptftMr1GfUHnvEvY6ee8fttxfDd9opxlXqC1zO 7869dD09vbG/nHP3ftD9G99Pu3YZC3XeIfneuF63ax/7Qm+MjWb9q836iG37 kdB3L7zwQuQe/MzGcNUZas8FHc2zPCdjcMC7xCe9729961txL5GxY/yyxbGP 4qIDva+xVT0HUx2Me/qB8y1/+MMfxr1f+Fgdn01GRl2QQ2LdLrzwwmLvsKaO HTMm7unHY8mUj37728gj2MbYvumtZK61nY2aPf2aa66JfJ+fkg+fbnx0kBV8 +h9/9FHcP8pWL1afXk3vFisvBp+tg0ynIyf+rxyxf2Lk2Lvp4L5jf258Jpnu POljg0yha9O/7QVslVOi3T3WKPW+MrTT8/F4ZxGQ7WQfHnX9kiXxvBftpOf7 Dlr9hq81a/dfgmx+Osj746dOjd+LiST38YKTTjop8js6u70WYg/jnsegN7Gl NPaXs/ar+qpdu1Lf13mHVTpNq/b11tho1r8+7C/sTPxwuNdOO+4YORd/TnoH ZYjN1Bdvv/12D2ZQRm8CL2Q38P6HDRsWY7SMefYjfjE+r/Hjx3/jbLLBVM/B Ugfrd5rXOLj1Yuutt442HX9nZKwJwJv5PKtyW+LLvq+yKTQrCw/oxO9X5x48 iwzszRi8Vu1udj2+kHQI96lTWZZ32l990a5yfTtpX0/L0PZ4rtWDD0YfjhgX PJj9g20Cj5JfrowU/4M/5jMshwbIPnkk2O/5sMo2CTLTe8w2+/8CW4V5kGJG rHPOodkt8PM6+1MzMjIy1hawYYgjsQ8nnW+e8rDjSnw3bOK+x034yei2zvoU z54xdCCehl9MLBB7HTsVW77YG3ExOX7wv6Bf2CvEDLFdsMmJ1z7uuOOyPSIj IyOjBOsjXw+fnDMz6ariIvzr3E/xPuw0OMS9994b7cDWUmcP5LwDQwvsDvz9 eIRclnxedOylS5d2nSuX8TfwM+LKeJeYcn4N+UFTDq+MjIyMjL8hxn18/HE8 z12sqVgevuKL5s2L9ttk66aryukhjsR6ms+dGrrwzslJ9oie+M/WZCSbnP7R V/wc/RkHmpGRkTEUkfacNItHb7c/MCMjIyMjIyMjIyMjIyMjIyMjIyMjIyMj IyMjIyMjIyMjIyMjIyMjIyMjIyMjI6M3ILbdfjj76Msf5/nUzZ070BB/78w2 uanqnGeX9kNppzxdQ3HfWG+2odP+y8joK6RzWcs5vMvnVBr39i52mt+7P+vs zO7y/sry742/DQSGah87A6ZVrvfB0LdrK5wLLVeSfBlXLVxY3HTjjTFnwcMP PVS8+MILMb+DMwEH8z45clR+icsWLGiZVyOB/P3wgw+KW26+ubh0/vyuPJdD Cb3Zhk77LyOjr+D8d+ePOmdU3jx5r51hmcYlmSYfsd/lknCGZZ383n0JMsz8 cy67c87klvvoo4+6flc/vz8U1tTHH398wM/LGop9nOokd5A6q5dcfGTXiy++ GPNMOgNfzpyM/gd+8Onvflecc/bZxSZ///fF9GnTipUrV0YuIS/z3nvtFXMZ /dtXX3VULjnXV3kLGsv+6ssvY87GueecU/yP//E/2t7P/iJPl5yZckS98frr fVLPvkRP2tDT/svI6CsYm3JCOG903XXXjfk9nSWWxiud2ZnmJ4a1SZ4Ia1XK tTuQdZaDdo899ij+7u/+rjj33HNXO3fa72SeHLbybsr/MpAYin2sTnL6Osd0 nXXW6co9jZvJ13z++efHdlx11VUDWs+1Gfi0/ATyysrtmfD7zz8vzgtzYuut tiquveaa2jYJvhLnEsvf2NtoVja7Vyc2eX6b66+/fsjyCOhOG3qr/zIy+gry n8yaNavYdNNNo6xoBPuZPLHyEg8WyGUxd+7cyjqbV3RmeXt/9rOfDVANV8dQ 7GM2Eeegr7/++sX8+fNX+41P4/WwBuZ8OQMH72Dpbbd9g0eQOexHG264YbRN 8E/hEmxMbGDOWeVXL3NV97A/zbvwwuKsM8+M/vvEc93r/7i6Tzn3LzmGz9Cz zTv/usbYSfylWdnJn+faxroox5xQ33IMge9vvOGGWjJY+dqe2pxyQTVe06pf tE97Ux1TDEqz75XXqr9ataFZuzvtv7rtavfeWvVrT8ZD3XJa9a/3qp/Se01t S33Ip+ejjHQWprLK4zqjd8GOvu+++xZ77rln8e67737j93/5l3+J69RzDTlc BxLmiBwWG2ywQXH55Zev9puzu+XHoisPFv/wUOxjZ9/LqbLNNttEPwaYj9Yu 81Y/f/bZZwNcy7UXzXiENfbee+4p/n7jjYszZs+Oc0XeuNdeey36qG655ZZi +fLl0SaW8uxZk5csXlwM23LL4ogjjigefeSROE6ty/HelSvjfFu0aFH8zfrt t08//TSWtSyUG3NAB/6CC69YsaL4U1jHm5XNH+Z7dZKTxlhLdTcX+P6W33tv ceedd0adINWzLo8gh/4YZCj/obrQ//F3+QXVG4zlVv1ijBvf6nLffffFmJPr rrsu5uHT1sbv2enI0Gb9lVDVhlbt7qT/6rSr7nurQm+Mh3blNOt3/ZvyptNh 5PZaHL6/fenS4s0334zP1g/yGS1cuDDmN/pFeP+ehWuw5dwW5gvbcEbvgpwl IzYOaw4fgPHcCP48voPB5oPjn//e975XnHbaaV3fGYPPP/98tLt//vnnA1i7 /8JQ7WNzc8SIEcUBBxwQfRzaIUefeTjQfpeMEo/YYovisssu64qLJf/POOOM YvfddovxQ96Z9XZ24BTW5D8E/rdkyZJi7NixcX3HC3GNZ595Jsq2U089Nc4d 67X1/K4g08g2OrG4vtF77x25u7FqLd95+PBiv8CRrdH89VOOO67Yc9So4oEg 36CqbGv+o48+Whx04IHFmIMPjjkeQRzRKaecEnMBprk8aeLEmP8R6vIIHBdv 0G7/V+6UKVOKqVOnFl988UW8pl2/aDtdhPxWzxsCFzkuzF/tu/CCC77x/Zlz 5sR2NOuvZF+oakOrdnfSf3XaxZZb5701wvzvjfHQrhxrTVW/s8WIg5NT+cQZ MyIn1O4jjzyy2GrYsGJG0HnEyr0V1i3P139JBuCVYrvmzZsX+VdG78K6w3ZN r8fhGmFMG6/nnXdet3V7HJJdH1es8zEP6uwDeOmll4otwho6YcKEruuNs8WB u/PjDxb0Rx/3Nug0bOPf/e53i4lhPnov5q116NZbbx3o6mUU/8UjNtt008il f/7zn0ddDB+VG5Eeyq7N93ToIYfE95ngfc46/fTi8MMOi7IG3O864xDwEjqh 68gt8ueNN94oJh97bMzhjK/QocmJoyZNKr4Icxzowdbxiy66qOt5jWUDWzY7 SlkOKv+E6dNjna39/JITgpy4ZJW/rw6PMJ+eDPefGuRyirFm0ybH8Cv5Il1T p1/o/eOPOKI4MrTXb/pEWVXfk0/t+qtZG9q1u27/1W1X3fdWRm+NhzrlNOt3 5eunOeE9Jt8NmwsOgkOA93D1okXFvvvsUzzz9NPxO/aIp556qrhn2bLKtmX0 DOTutGnTiu233z7GJjaCTGfHW7aq/9OeZdzTBz/A7727ZjLQu7e20QfqfHDS OvZyc0cs5YGBs6oHvoK/X3rppd/wSXYHya/W7mPet5L/nfQxG5y1H4/2vXYo 39qjn330f7u8eD2ts/d5ySWXFN/+9reL/cN6JwZ0nzAvRwW9whpQrqc6JZ8x PsdeaWzU8bVmdB+JR9ivwd5N5zSO+MZSbLF3sSDMB3KlvLcmrr9BB9x5552j fgeNssr6bi6SU9ZlnyvC32efdVZxcZAJ9kSJDz7++OOLaeGT5hxb8hHjxkWZ nVAlB40fZZbloHqxbZORxpU9WWSQuFGowyPYH+ypNGbLdjNj8a+r4iPq9ss/ /+pXUZ7PPOmk1Z5R9X2d/mrWhnbtrtt/ddtV972V0VvjoU45zfpdm348fnzc n0Q/A9wZb06+V8BL9K84cfWgA5kbOed43+Ctt96KsfgHHXRQpR/gl7/8ZdSh cUQygg2K7+7iiy8uFixYEPmB+YoX97et25g45phjil133TX6/oyxa665Jv6/ pyBrzWsx0u0+6lH2fzaikz6Oe8IDvx4f5op5x95pHvB7TA88/NjA2c2bKt9I b9aZzkI2jRw5sitW1Vy8e5XfUz2tdfw0Rx99dNSB8Di6Axv72WefHdudfNEZ vY9m8RFl2BvK3n7YoYd+Iy7HurtD4LZs4NAoq7xn8RXsyc14a6Xc+MUv4thx b0JdOWhc//bDD4vHHn20uG/58jje6KTnzp0bf6/DI9T79NNOi/aIZnsZ6vZL JzyiTn81a0O7dtftv7rtqvveGvu1N8ZDnXKa9Tv9BEecOGFC9F/wvdFryCDP TsBV6EEHhzXX/jfxFOIl/tpkPGT0DMbWRhttFN9D4zslA9iCxBqQEWTazJkz o3xLMsh7FAMzY8aMpmcemMvub3WmUflT9xwmYwWPEQdIl2fHE7PTGzow/Vrf 8Ee2+9g3kmxqVajbx4kbkL84h+8S2Gf4Tw8Ja8kfm8RB9WadxXhtvvnmkc+I cYYUG+F96mP1EL+GI1n38Excg1+UPpDRt6jDI+jm88N6us/o0cVL4Z0meH9P hbHCb51sjW8nWbVKB2ZHM1bwxK8azqEwn9nF6sqjxrKhUQ6aG3RR64s4aXMD x+ZX64RHsMXMnjVrNf94arM5pu51+6UTHlGnv6raUKfddfqvk/fdHR7RW+Oh TjnN+l076DhnBg6CL/EHs6+83jAWXCceQj/w+T3+2GMxxiSjbyDW1/6wK664 4hu/8RWwlRrbZInYF7btxnjXDwOPJgvTPGkE3ZVcoUfX+bAn1DmHyTglx1L8 IltEilMk0zyX7PNdsoE1+76vYDyLX67TxwnWBGtIea+lurLRmY99fR6wtXbp 0qVxv2dZ/0mwzuEQ1jExUeK5Dg36Dz+oeW0sZPQ9zBF7hcUIVY0tMFacTbXb rrvGGJ1kM/Q9ecLenOzt5h091jjDFa3xymXvYxM2v9NeQjG45BTeyBdJbqS5 ZI/EuMMPj7I8obFsH+c5LwprCp3R7+k8DH5tsfWuwan59M8555wob9XBnN9/ v/3ieKuC+mnrLiNHRr3CfNdX5jyZRk+v2y/WOnYB+2fL+knV93SrhYHPteov SOdHpDbUaTce0a7/Onnfdd9bGXXaV6fcOuU063frt/XRfd6l9VMbq3THz1ed o7LN1ltH2wSfT0bfgE1os802i+tF2QboffGzGsfiG5IPgRxrlL3JJ9/MDkCX xhnZlep8yCK8uh08j219vfXWi357Z1dCOrPFGitW4vTTT492d+Ot6vu+9OFb A9hJ6vRxQopB5htIcSjmvvMw+oNHmH84PHuEfVdlqLO64kbWOuD3GDNmTNzT qm/zuTh9D2P8k48/jmcK/MMmm0QbMW5X5VvE83E9Me/vhLHFB8+2yEd9c5Cz yUZGzxPrdkzQE/3fvH35pZdiDJs4JLH3bFjO4hbDiWewtx8eZMRRRx0V/fo4 aNID+eHIiKRDlsvGP98PuusF558fy8Y9yZE7br+9GL7TTjG+0HX2D47aY494 /iOfmXVIvJ7v7BOsmguep170dLYy15Oh5h+7WbL7tesXZTvvzn4ldSeH9G86 B6/xe8/FC5r117+vyoMhtrDcBt+3arfr1a9d/6VY83btcl3d99bYr63aV3c8 GG+tyrHeVfUvaLc+Yv+2X0+8Ge5hXf86XFdeezznuaCXeo5nZPQdcEW6JP1X fIF37z2SDWyl6cwkdjbnF+Kagyl2zjjacccdo50rrSk4qv1H6i6ew14q84o9 rer7qliD3kTdPk7AI+zRYvsRg+KDazjrsq95hLLtORMXwV/EXkWeWMv0Gd5j DJjHyW5p/Wer2m677eJejpxzo++R4lPSnjrrrXW1at+w+fpxGPvOyWZbFt9k zz0ZVh77eIhYPDFrrsMT6Qxi3sXR20dKNtNz8XzX8+XTk48OcoNv33NwSTZ7 dUv6dWPZzltna2YDZ69nSzTOyEh82Vkr9FccXAye/X/k4EOhzcdPnRrrIZ6Q zKyCcSymSDwR3ZzObv9gOQ9Fu35hv7h+yZLoY9Q+er7vmn0PrfoL/hLk6NNB 5je2oVW76Vafh76p03912tXJe2tEb42HVuW06l//ssGwNY0cMSJyr53C+o9z 8eek6xKst/rh7bff7mR6ZXQIeo31An+074EOzC/Pf2Usp3WG34s/i7+8N/ZC 9BbwG+tLOd+N7+bMmRNjF8UL+JDZOHDV9+mMm75C3T5OGEi/Bq6Fs+AE9pd4 Ho4mLmbcuHHFDjvsUIwOuoVzCQBnMEedNWN82NuBNw0mrpnxX0jn+DSLN0s5 5RrHpPfMt9mTsdes7EakMxqTncQ96twdO5eycId2c7xdv3TnuZ32V7t21+2/ Mnq7XeW69nQ8dFqO9sezrQKX5McRB8P/wQaCQ+NSz5fO8dNv/On4Yz7Dsn/g PXpH3gnbYaPvgm2ML4COTM6V5QQ5Wc5f2Z8w7xr9Xmx44i/Z5I29dJ4ZzlD1 fV/HSCS06+MEc8SZGI08gjwn1wfLnPC++TjoO7hEsqPY45p9kRkZGb0Ja7U4 Entx0hnnKQ87rmTdtwbhJWzSdF/21Hx2/+ACPZNOTS9mi2OD4hMTWyPmpa/1 +rrAeXBT8RzqrG7OrDLGqr4f6DxeZeA26sQ3mPY+4zx8CvyLbH04xUDnFadH mKdsrmKezGe8KMX98ddEPWiA65mRkbFmgM+Cr2fsmDHRP209FxfhX+cGvfD8 8/HsTrZS/hJ5EfmE036zjMEBMo7/gHyTd4E/S4yB2P6Bzs1dBplGPzaW5AQV M8i+1ez7wQQcSKyRmEW+T3Y7XELMAp+SeEb8uq9jOtoBlxETMWnSpK4YLzoC /i92Sj3FvQ4W20lGRsbQRoz7+Pjj4pogc8Sb8q+KO7to3rxow015weT0EEfC f5zPnRq8SLone0Rf7x3oCdi7kj5f5/uMjIyMjMGP5JeuWsPb7R/MyMjIyMjI yMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjI6BRpL1Ld WHXX2XMl51M5j6x4d7kQ/ueqnBDtIG7eHl/ndffFfv1O65PR/32W31Hz+ZSR 0ZfIe5MyegvGkrPBnC9SJ18u2L8tz5G8UXI4JeAD8jlctmDBajkpmsHzXlu5 srg4lON8095Gp/XJ6P8+y++o+XzKyOgrxNy/Ye7J25VzW2X0FOwB9yxbFnMe ybFYB3I4y1m/8/DhMadTwldffhlzJM4955zK3F+NcJaMs2KHh3LkIO0p2FXK Z5h1Wp+1DY39Bf3dZz19XlUbhhqazaeMjL6CMymfffbZmDtMbrGMjJ7A2emn nnJKsc3WW0dZXpebOh/+iHHjvrHu8VV0Yp/+2VtvxXMEe8ojnC/kvGO5IXtS n7UFzfoL+rvPuvu8Vm0Yamg2nzIy+grOjHe2uJxc+XzNjO7COvzTl1+OOd0n TphQHHLIITFnchX4P3BYtmf2MGfDy/9WXvdck/JP0hPLz3H2sPvcXz7PVh48 POLCCy6I5bvGOe9VOmazcnyPD+EiZ515Zoy1cH+z+pTbQhdM+Ztaoc49yc+d ruH3Lz/XXGXD1oZ0HrO2ql/yVda5pvw87fS7T2NO5WZ1btZfrd5hb7StWb9W Pa9dee3aUKdfjKPUL43Pdk+qk7Jdk9rRajzX7Yc68ykjoy9hrMp5K5eGeZCR 0R2wIy9fvrxYsWJFzHezw/bbRz+DdbIM481aJ4/98nvvLZbdfXdx/ZIlxUEH Hti17iV/22uvvRbzpchpANZK+V0ffvjheK84iBdffLErPx8eId/r7FDOW2++ WSy88sqY+0AOJetvQqtyPHfJ4sXFsC23jGvxo2Fu4ENV9dGWP4a1W8497b7+ +uuLu+66K+YNbGx3uf3t7tF++Wo97+7QP/Ld6Fs5HNTRdZ9++mn8Tv/FXNYP PFD85Cc/iWX+6Y9/rHVNgmvj81auLG666aZi0aJFsd1pPWhVZ/6kxv569913 m77D3mhbFZo9r055Ve9cG9r1C/ktlvH111+PebsWX3ddcXsY++ITPNN1n332 WRxncjy/9957xXXhmmXLlnXlX282Duv2Q535tDYg5bTHu9KnnAM8ccz0m2t7 W29Oz2jM1eF77/Tzzz+vjH1VR/c0WzP6Cz3tQz6NuXPnFk8++WSP6qFs865R 92jVhxlDH8aSdYxdy9r59s9/Xuy/337FpIkT41pYBnl+5x13FJeE9dCYEJtz 6fz5xWabbtq17tFPH3300bgWirWQTxHkZT7llFPic4wxueM8A08APOLggw6K 94m3PO+884rDDj202GnHHYurFi7s0jFblWNuPPvMM8UB++9fnHrqqbGO2lBV HzKUPCU//F+57DFTp06N7apCnXvYCP2OD5E9ckguCbIBRyJD5Dgmt/jA99t3 3+K2226LcQFTjjuu2HPUqOKBIEfppu2uAfOTrLsryDByiF4uVnH03nsXl19+ eeyPVnX+6KOPvtFfdO5m77A32laFZs+r0w9V79xa1a5f2AXuueee4sQZMyKn 8swjjzyy2GrYsGLGCSdEXiCXIH6iXjcE/nXc5MnR5pH6sdk4rPv+6syntQHe hf4U442f4mZ4b4q39b68Q78/EPgY30/dWPA6IGs9C//0nDLI3ldffTXOl4Vh HWKPKoN85FOT020g84X1pA/TOnLppZcW559/frc5kXkg1uLCCy+Ma0VCuz7M GPqwhj8W1nC6GFgjF4TxNHLEiDgekw3WXJNbedrxx8cxkUCfk6O1vO5ZH+V+ L8sE9toTpk+P4xh3wRsmhHXbGgr+3i/wl5knndQ1vn/13/978ePx4yO/kGu3 Tjk/Dzzo0EMOiTykWX2M9yfD/eJBUq5hz7S+n3HGGZV5Huvc4xr18nxzNYF+ Pev004vDDzssyl96LJly1KRJxRe//328hi5O5ojVhzrX0ImtF8rGl8hx/TP5 2GNjXuJ/CjpGuzpX9VezPuuttlWhaszU7YfGNrTrF/JCucbRnNAPyVdjvOMa zwReAmxZ4484ojgy3KOdyk1js904bFfvTubTmg5jS25qudrXXXfd4uAwBti4 ku6gr+wlO/HEE4vddtutWLly5Wr6bk/g3eNv7ExyxlflwjY27gh8b0RYE5Pe Uwb5zDbn/fZWvTpFd/tQ++kOxp01YXoY0zhFd4ALn3POOTGfe2M/tOvDjKEN a6W9ds8FHmnN/d3vfhf11y1/+MOolyU+++9ff11cEXQ5a6VrEmJcWIM/1z1X L1q0mkwwjtg7yAvz9sEHH4xr6nnnnht/T/ER5ThL5bBHs0mk/aDtyqmSi431 wZXofeZUo/3tr03iI+rcw56Hgx3aEF8SZVTo05133jnqwOYzXyQZknz2vwi6 Q4yvC3MZ6lxDPtKvtUv7fLyjs886K9p0vNN2dW7GIxr7rDfbVoWqMVO3Hxrb 0K5f/umf/im2AUedPm1atMUCXcoYTLbdfw7rsvGO2zai3ThsV+9O5tPagN8H rjVr1qxi0003jetPI/h/br755ugb6k0oly/3kksuabnfxxgbM2ZMceaZZ1bq 694bfd6/A3UeQ6d9mHx7eDN7onmB4/p/d8AnePTRR8f+rEK7PswYmsC9cUN2 6ZNPPjnqrT5Tp0wpdhk5Mtpgn3rqqXjtJ598Eu3ZRx911Go2q7o8wrN+++GH 0fZx3/LlUfej5507d278vYpH4NDW5+1/9KNoV65TTh0eQTc//bTTYlvr7g+o c8+nQR6cOWdO9MfQecsgm8Sd8AtUypiGfqxzjTr5P1t7lb+4Tp3r8ojebFsV OuIRDeU1tqFdv4CYIBxLXLF4HOspGwbO5ZnQike0G4ft6t3JfFoboN37Bh62 5557fmN8AfsOe9Vzzz3Xa88ky9iT6PDt9jx6R3Tt/fffP767RuCixgDf2kCd f9JpH7JDPPTQQzFmiq/BBwfAc6vsMq1AT6FHsIPwr1ShXR9mDE1Yb28J/LRx v1w6S4JNwlrs72SzIkfK46QOj7CW47rGp/3x5q95O3HixJY8Al/GY8RrWOPr lPN2kimr9MKq+sQ1PPB2/mztKj/P/KnSS+rcw2YxP+g1+4weXbz04ourtyPI WryM/bS3eIT4BusWHYAO3vgO6dzt6lzVX1V91pttq0JPeERjG9r1C1+eevPD 0I3wI/EZ1kH23YRmPKLOOGxX707m05oO7wIX3XjjjYvJkydXyrBXXnmlODe8 3948y8Q7OPvss6Mtv50+4Z2TuSODfsX/UQW+AvUfCLt9d/qQ34O9t9ynbArz 5s3rinWuizSe9WUz306dPswYWogxMc88E8dM1VnUYnTGjhlTHHjAAXFs4ao3 hTVz9912i3HlYmeM3WSrOi2s22n8RH/EVVfFuAZjFVe/7dZbi3332SdyFnNW bCefurFnfHnG2FX7PhOsvzg+P7NxXaccMsXafNZZZ8Xf416Af//31eqjftde e220uYjlZ+/j98aXreNVXL7OPWzd969YUey2667x2tQfvidj2bTJH3F9Yh3J mGRT19/jDj88yn2ocw27un0tu4bn8T2Sj2lPpv4UB9Guzvqjsb+818Z32Jtt q0Lj8xLqlNfYBtzhiiuuaNoveJDxi6/4XV+wCSd/cQJ/MxvDSSeeuNr3dcZh jI9oUe9O5tOaDv1jTG2wwQYxDq8R+gHPY2/qTZ8BuX9QGG909DrAFXG8mTNn Vp6vI95SLCHfQitegssab9a0Oh/ztd15Pt3pw+jfbLDX4cTWiE7tEebVUUcd Vdwa5kUrtOvDjKEDY8qYPz+MqQvOP/8bsc/mgBg882HzH/wgXsMPLI5I7Lq1 1ZmX7BnkPL8D+6y/jT9j3z3ixdgTrN933H57MXynnWIcGj3Q2jlqjz2iD0Vc hri1CRMmxDXWvPE867u9Gg+uiutTz3blvBNkg3i6Y4Iu6ne+5/eDbliujzrG 9Trovrvsskv0CZKFZI/2VM2hrjW+zT0ffvhhtFeL7VcX7aBv8tc769jcUc7h QZ6Yd3zr7tWfdH18nrxnn2l1DdloDfBOxAZqmz0BfJ233nJLjPvCM9rVWR+V +8v69p+BvzW+Q/XujbYlW0AZ1q6q5/m+TnnvBT5UboM4sZdfeqlpv6i3cWEM zZgxI+6df+GFF+JaaF58/Yc/RN4h/vGAwKOVXd7L1m4caot7W9WbH8WYbzef 1oaz09iPpk2bVmy//fbxPTTCeoDvGbvGhPUk7W/Bx8wD48U7olunMzpSzhbf +Rjb7jG//E6u7rDDDnFvTR24l/1q7zCuvPNGGFMnnXRS1Ic8oxlwTHYBPLPO x/xqF/vYSR/2Nso+Ddy7Fdr1YcbQAfliLxq9hz+4rP+BuSlGTzw6ezX5TpZb f41R9ls+LnOGH0LMOxnwZlgX2b8ff+yxaNNla3YOhTlgzLie/w5XEPMvzizu qbvhhuh/vzeMRbGdl112WYyrpPPR98qcuV05n4dnifvjI2EbfvrppyvrQ06w 8x0bZAQdmx4sBqOVb7POPdanj8OcvjLIas/XDnthnF1AlpAf/On0Z7KCf931 4p/sXWR7eeThh2NftLom6cH0kGdCG+1DoNviDPQS76FOndWn3F/0at9V9Vlv tC3Vu4xmz6tbnnHZ2IZ2/WJdZf9gq7E3CScQz4sL8N/8MnDYeJZD6C/PZosp xzG0GofiUfVLu3qTd+3m09qgs3lfeK6+LvvfEuiwdGz2M/JZzBTbPb+V+Ab6 Pe5m3eCnUB5bpn0UxujFF19cLFiwIMpu6x37g/FKpm6xxRbxnI928AzlktXs 8t5lI/AUPJuMrNrz1ZfopA97G9rt7Al902q81unDjLUHMSdhmM9JZ6xrA0vn FSZeoByyoixXlPeXoEOk86m6U046k6VOvZRFprZ6XnfvMW/Uq9kekN6EOvFP NdvD3qrOnfRXQn+2rQ6ataGqX1wbz4YK8giHFvtCj2L7YJvAY56vEc9XZzzX QXfn05oCfv2NNtooyvgqOzv7lHMNUr+wMYgNJDfvXuUT4v+iG7HxKIOdjO1c DEs6e8y7cZYYG5T/089/+MMfxnPGWsFYZ19yL//+McccE2MzG+Oo2Dzo2nsE LtpKLzc+3Fs+M6rVp865W532Yfq+N2w7aZ9GK15Qtw8zMjIyhgKsl2xd9rKk M8Ktleyz5AsZlHMW9R+cYbrhhhtGf1sjyCtnnYlnLYMPge5/6KGHRt8eH0Xa W4Y3OkNsn332+YY855tzHZkodnvbbbdt6dcg51566aXoE8RR8HB2rVGjRnWd aZPAhia+ly+syiaQkM4/t8+4zgfXbXXulrHLptJpH/aGbcf/fc8OIj6qp32Y kZGRMRTAP8EHIY6YDBFvKS7Cv2LtnQ+1ttkEBhLk+WabbRZlYNmWQy+2R1Hs qpiCRogh4pu1z5EunO7lU6DviudLMa4JSbf2r5gUfilnklaB/PT80wLfxFMS yES+C3sdyrE+OAqbvZiYxlwuZeAb4gn4Yet8PDv546rAhsCv1p0+7KltR/+L oxNfWjVnOu3DjIyMjKGAGOcRdK5rgvwQmzl69Oio18rnQvdbG2IbBxPsY9H/ 4kTsVWYvZzvHE8QyVJ2pBGzy7A7bbbdd3CeQfPNsSWL+xCi2klF8W+Sbs3Ma 3zmZKF8KXV1sbtlX4D6+EfUt54swdsQh8Yv1N7rbh9AT244zsMUg2Q/WiO70 YUZGRsZQg7WNnzjnSx446H/2c3r8gQceGO3pfPl8BPTsKj0XZ2ATdzYjm7w4 VbIUb3B2h+/Gjx/f0i6gDOcYkGWN5yWQrWz29ko0Pl+8Ah+/Z9DZgU+MLYte 3uwcpr5Ed/qwjO7YdswZcezNzvHqtA8zMjIyMjJ6ArKFnirelfxqlFsJZBwb Pb88LsEfZa8ln4L4QPt3nFFNh/Zb2SZB3pbzYIqx5QsQP1COxcUL+PGb7T9Q Bv8YfV356k1vdx7kQNrp6/ZhI7pj28EjnNWScgs1opM+zMjIyMjI6A+QSewN 4gbstyDbyEo6tD2cbPjs5HwMdHNnk7G/iy8g8/j+nUtT3rfEjkFvdk+ncTHp zDb7fNj2h+L+g96w7WRkZGRkZAwF8PnTmydNmtR1Xpk9N/Z8OHOMbf7xxx+P PMH+ATxC/kn7A8RTshek3LcJ5CV+Yc+D85w6Af2f7u+ZQ5FD9KZtJyMjIyMj Y01DslewRzQ7WyXB7zhJJ0hniAzFPQd9YdvJyMjIyMjIWDvQF7adjIyMjIyM jIwqdGLbycjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjI yFgbMRT3uGZkZGRkZGQMPJw5Jd+4PGDNzrvOWDvgHLL/+Mtf4rnmPvbytOKY 8fr/+I/Vru9OXiPPsF/IOOyLHG9d5f/7v+cccr0A7927bvVxVm531pM0ppyZ 99WXX9bOA9BfML6dkdwXbc/IGKowJ5599tlizpw5lbm5MtYeOOv0pRdfLG5f urRYeOWVxSMPP9zyTLJPP/20uOP224urFy2K9/z8Zz/r+Bx6sO6mc9ydmdbb sLa/+eabxUUXXVTcXJHHNqMzyGG0YsWKmNPv+eefj/mE77nnnpjX0N/+lbOv 0/yGOMQnH39cPPH448X1S5YUZ5xxRvHkE08MKnspPvrBBx/Ett99990xZ+IL L7xQvPzyyzEX8pNPPhlzKsjRnJGxNkFuLedQzZ8/P+fJXYvh3RsL8rlu8L3v FaP33juujVWwnt53333Fpt//frHVsGHFZQsWFH/+859rP0vOt3TuPDuEPPQ7 Dx8eZUdv4+uvvy5uvPHGv5U/e3bteg0W9Hed2j2PrJRH2Pn6ixcvLg499NDi O9/5TjF58uTitttui2fb7b777jE/YCf4/PPPixtvuCGe6e//8i3ilt3hpn0F 9lt5j53ht8466xS77LJLcdddd0XetGzZspiTWR5E5wFmZKxNID9w6OOPPz6u uRlrN+ham226afHDLbYozp07t/KMMjrZOeecU+y0447FbrvuGm0XdUHv/PWv f1389Kc/7fruF++8Uxwxblyf8IhY/i9+8bfyW/CIqnoNNPq7TnWeh/elvEXO 4XfGvrzC7JrgTFzn8stT1Ak885ijjy6eeeaZ+DeZXZV3eKAhb4IzgNdff/2o e5XBtvb6668XTzzxxADVLiNj4MCnMTfIDLpGxtqNn778cnHwQQcV+++3X3HQ gQdGf0UZZM2LL7xQzAh658yZM4vdd9st2rLLYIum0/KV+KTcsu7FQeZdeGFx 1plnxrgK10U5f8QRkUe4hm3DfY0xGinWQU5enNd1VbLGdfRY15F7b7zxxt/K b8IjmtWrk2dW1aGqD8hH7RKr4UMuqasz7P2d2tysTni/stynHr53b7qHL0qb 1beRA5b7RVvcl/LyteqDZnj11VeLbbfdtjgojBc2BNA/uIT76yC9b36CPUeN Kh568MFaba3zbtL9+iTFdegbf/tN2/0/9UUde+zHH38cbS7bbLNN13qpHDER nu184M8++6xW2zNaQ3/2VSxOb2Koxs2ot3kmHsm8KH/faXvMReOenZJdznyr gns9r3ENbVaXcvnmqnWmWZybMqwFrsn5RgcWeMTpp51WLFy4MPosjIv/pzRe fv/730fbM53s7LPO+gaPMH6MhddWrixuuummYtGiRcWjjzwS12rjY8nixcWw LbeMct337777bhePwEv+9Te/Ke6+667ikksuKR4MMsW4AOMilvvaa1Hm8IXI 6SvvXDmOw1jynLfeeqtYfu+9xbJwLX87TtSMRzSrV91nNqJVH5CJ7hcLoo+f efrpKHfZxvkC/vHtt+P9VXXC983Vhx9+OPqV3nvvveK6666LNnUyVK5fv2m3 d8QvleqpX/4Y+vKdd96J8Q3XX399tMnLz9fsefqgVRvFRay33nrFKaec0u04 Bs9Vz9PCmPvRdtsV5557brSPtmor7tDu3aif+PGHQ78aT++//37x3HPPxXfh ejYVsR7iO/jllt52W4z5aQexNiNGjCgOOOCA6OPQbv7AX/3qV4PSfjJUQY6J semLWJzexlCNm7EWvfLKK8XssC6WfXGdtsccwPHZ4uiC06dPr+TS5ge75YVB VzFn6tQlAWeht0ydOjWum1U5WHEU6+2ECRNyTP0AA4+YH2Q4Gcj/e/hhhxW/ Dms4kEXGypVXXBF9EY08InHSu4IMI8uMRWu4WAtxF8bas888Uxyw//7Fqaee Gnmj7/CIcePGRTvILUG+ylk77fjjo8+EPATjbnGQI8YZmfKHoPctCfxg7Nix ca1J3Jjuf+cddxSX/OQnsXyy5NL586OvphmPMG+q6lX3mWW06wPPwieuufrq YmSQR2Qj+SW2gCxLNoCqOvEjmGNkPV50Q+ACx02eHO0H5jd5LtbJfLXOTpo4 sevd0JPxBu3xf2vvlClT4rzUR836oBmUQeZvsskmse5lkPF4jdyBPrinZ+AM jXzj/wZ54Xf9sGsYbyk+olVbPbvdu3EN/vH/s/eeUVtV1973l3w43zKOH8wY yWOSo48dxCgKSO9Vem/Se5depQuKIE2KKKBUaYIgxdCDBY1dIyLYjprkxJwk J+MZed/XZ73rN3PPK/ve7H3tfd29zP8Y14D7unZZdc7/LGutxo0aSduTy8Ez 8Lc0bNDADR82TM4mJAZDLkbzZs2kf7LxIeqFTL3++utdT9+2+CbgYbwvKh8k l3Yw5AccbcqUKcWSi1PUKK95M8wRzgG/8cYbRQ4ocqkP4xidTTySecAZoOS0 8/8wmNfEw+m3MOeOK0sQyCjmKzw+7AMH8AjkSPv27TP2p6F0IDzC613kHbyR 2Dd9g31H3yBH0dPoyjCPwIbAfhw/bpzoRs6jJ6bQ76GHXLdu3cS+JW7ewffz jBkzMu+ER8BXBvnxAw8A3If8Zy0RY46YM/fxfgVynHdxL7qE8X/M6084CNxV AffhzNts+RHhcqV9Zxhp2gDgdxnqeXu3rl3dpk2bxJ6Gk2crE8AG6Nqli+vu n0VZeB/38Q6eR5nhexcuXHA9uncXPkVdWPswxvMMPdOXe3bt3Cn2A7Z63Pvi QDmQJcgYfAAKuBXcCT4wd+5ct8jb+vCN4cOHi5yIstm553nPuYhrYAMl1TVt 31y9ckX6nNwY2lvbnXHW0euk9/LsWNpk9KhREqvLdmYh+h8/2XXXXedaer5F nZp5/tHQl3tPKEeoIO1g+Bfoe3xmxZGLUxwor3kzyAnGb1h3p60Ptgb8gr7C R8AHfo5cCedI48vr06eP/J5LWYKgrzm7fJK3J8KxE+MRZQfKI9BF6GR8zT17 9BAfMD5xxhZzO4pHoDOx6dp6/cJ6UD5L/N9cN9dzVLhqHI/Q/AgFcgS9O3LE CPFfL/I2CfcFfYPIfGz9WrVqib/zj97O533oT/j0Nc/PgUekfWcYadoAMAeO vvyyq1O7tuhK/DtJZQLvvvOO1I92CUL9HPAwOCAxoRbNm7sZXnfB9fHJoMOC +gtb4odAHDEtj+A+ZPnNN9/suvuyBGMn+DmIT9GXmreNvcL8HjZs2DVcCcTx iLi6pu0beNwkz0N79+olbQIYt9hZjGn1vWInkR/Wy1+HzyAOcBPGUW3fZxfy 8obwR+D7VX5WmHYw/Av4m4JxtaLIxSlOlJe8Gc0pQk4wLslvxucT1t1p64MN QawQf5sCvjBnzhx5hoJ7mJPYHhqHSluWIBgX+DTg8eikIIxHlB0ojwD0E35j 1mUQOz/g+QK8U333YR7BnEZX43uOy1lLyyOCOuRzzwnQB2JDhmL2jPH7qlcX H7eWt4+3W4Lxt4LwiLTvDCNNGyiYZ9QZfY+/IJwblAuPgPt/eumS279vn9u+ bZvoNux41txQJnJe8Edkyz9KyyOIvRCHxFbBh6lAnuPrxEYnXyCIS75shw4d ilwfnCuPSNs3cTxi6pQp+XgE3AG+xbvCsikIYke3336769q1a0Z3aW4E7cq8 0FhxQdrBEI2iysUpTpSHvBnkEfoaTkZciDmMzVOjRo1rdHfa+ogtEpJz9Jfm jys0pkHuBPfnUpZwHfB/wOWRGUFE8YiyOFYqA8ilwXcL6G84AjFqchXYn0rt 6SgegZ+C2Dq+K+zyINA9yM7XVFd5ua1I4hFwX3I2mjVtKntlKRgjh9jPwOsf 4nY6VtEvwdyrNDwiXK607wwjTRsA5hg5gmP9tcR9iXuEdVhUW0XpVuYW/UL7 sVcG85g8RWL48AjhV+PHS76E2nJaF8qhORlR74sC+hlb+6677pLcNwXxkb59 +0pbh/ei5F2qa8PIlUek7Zui5BG0E/5YuFMUz6LN8TcgvwraDoZoxOXiFCT/ hLHOdXD4NB90Z9I6i/KSN/NdXg4RMQHGuchwPxd+/OMfX5MfkUt90gBeQlxK 709bligg2zQvP9g3YR5R1Pt18zxsBPN1ZAdjmHwZ5KSOZ+KS5BuQp4jtqTEp tQnhF+T2A/glXKOu/464JXNF1+UxjpD5+MHQ8/iW6Rc+b7zxhuRZTgjoeXgv 9vQIr0N4xk4/hnkXcRXlw3yPviD+jR4lNveU16NwG9ZpMHaoh8bU0NlxtkG4 XIxJ8vSS3hlGmjZA7+MjZz9Q3ksMokGDBm7x4sWZ9aFRZeLztn+ntMvw4Zk+ oqwb/fwkVxDfINexXoU8AXgVfsPly5dLDAXez9zCXkBGwrHUpo96X5Rcw6dP /bC3sa8VzG/8luRv5iIP6SfsTfIfg2vPM2MgUFftgzTjATuK/JpgvELlFTnd GvviN/RU9yw8Av7FmhL8EYyLcPlZK8N6Edq9oO1giEZULk5B80/oJ66jb9J8 sJGT4hHFnTej3DPpg1yJG2/8Tj4DcpYcbMWJEyfEHgjq7lzqkwbBmIb67tKW JQrwAvhHkyZN8uWohXlEUe7XTdvC+chjI5fdEA36GnmKviEfGrmJXIa/s+6g U6dOmdxF+ucNP5/Jn7/vvvtkH0L0JeMDG5v8SPIan/QyHl6ywbc97Y8+o9+x vdlziP/DdVmPhw4cPHiwPIfnnz59WvL0eQdjgrkHz+Dvi5538Cx8Dsxz9rvW OXT+3Dm5D/2DbwWfPj7+6vfeK/EO/o7y7YfLRVuwJ1PSO8OgDNnaAB+Frs/Q fcBpA+IOXM/8Uhs2qq1Yf4Wvke91HTacAE5Ss0YNyavkWngUenmgl4XoS9ZU tc2TxfBB9C3rFGgb9T9GtUGYx/Mu6vHv//7vsjaC+ug1cE78MPj9g3woG3T9 JnyA+BntQv0pE+MtXFcF/CVb31Am+BG5k5392KU+PJM+xY5B1sChGOPkXuJD whcD/4ha+w53wpdKvHjnzp2iW+hHxiXjF51D3gP1Lkg7GKIRlYtT1vJPijNv hvnBdYzbpA9+sLi9JLH/WWcBHwiWifKGcxLS1idczjgfi+YfId+Zl7mUJQz0 EVydZ1G+4FkKUXGNotqvm/di79JH5I0YokF7I8Px9yJPie9qH+u+BHoWF3oJ vsF1+JZpW2LHuncJeyKQI4lfAN2FjmDsAOYMuXDtvQ4izsA6ZHzx5E+hL5DJ yGd0Afc+1Leve9nLEXTIZ5cvy5pT7oPPc64HvpBgHI7+Rtfij4NL489grd9E P29n+bELz4jycYXLxVhFhqV5ZxjZ2oD3YLeOGjVK6so7+J51bXAPvr+Yl3MZ LhN9IHth+LaCE2GTax4Ic5+6Nm/eXGIY+CXJ75Q1k57noWfhEg/5NsaOZ40t 6yCDPrqoNggD3Uu9qlatKvEY3qOxEt7BGj3kA3MuaBuhm+mbMIdD9mCTIFvp r2lTp8o74ExxdQVJfUNdGFtwIvQPcRN8DQcOHJAxRW4rcQrNV4CPsHaG9W1R ++BQRtYKVK9eXWQs9hBlxqaCSzf180DjtQVpB0M0onJxCpN/QrvzzKT9rfQD z0zSP8WZN4OPFR8dPDfpg67W/WDDQJbDdeHlwVziKN2dtj6KJB8LNiG8WnV+ LmUJgn7DtoArkCNB7LB///6ZuGwUjyjK/bqRC9THeETJgbHFGIxaR0ff8n1B z05g3KAnfsgii/UMUcqB7E7zrmzlSvPOMLK1QVrk0la8D3tG5R73UeagzuIa 5ljcPlqF7Rs4EHFQYiPIRjgSPgvsGfhBtv27CoqC9E1xozTaoSIiKhenMPkn ur8tPo40H+Io2Xwb5SVvBg6NXq/n7RrGnyKsu3OpD0jysaC/8V9iD2gcOG1Z gmCOE/eAS9J/zB9sM2ItnPMI4tZrRO3XTTvjK2ROxn14RtAHajzCYCgZIGeQ F+hP5htzHb8isinOJ1oRYe1QNIjKxSlM/gnxKGL1+OjSfOAu6kuNQnnJm8Ge YR9Iyol/B76gMVjWZcBv0Jm0T9r66HOz+VjIq+R5cAO1TdKWRYG+x3fLc4J5 3fAKciRYd8r9ces1ovbr5vnk3XB93AefB/FUhfEIg6FkofMaGVwYf0x5h7VD wYCcx7aNysUpK/kn9CfxrvKQN4PfgHwx1lUSgyP+QXnQ4zfccIPEGOABfJ+2 PiDJx4LvAL8c78mlLPytfmTiLOTsMRaCMSb4OGUhhq1nEwV5RLb9uvlNc8vi PnrGj8J4hMFgMJQfYAfiN4jKxSkr+Ses8WY9VHnJm0H3k8dNDhVlQ/+OGzdO Yg/kV5AfR/nT1gdk87Fojiw5DOH1EkllYd0ZnJFcPPItyJ8Ox1rhcfgM4Gbw lSCPQOdn26+bdoZT4NOI+xCbDJ7jYTzCYDAYKg7Ka/5JWSg3fAVfD3oZ/lIY P1k2Hwu2PHXDZxG3DjepLNxHm8Tt/8D95IDidwjyCDhetv26KRttT/5L3Ic+ UR8L18NhiY2Qq27rsAwGg6F8o7zmn5TXcsehtH0sQQR5hJ7tm7Rfd1rAb7if PA94RLazkA0Gg8FQflBe80/Ka7mjUBZ8LAAfAXmd5GuQH5Fmv26DwWAwGAyl i7LiYyEGQjnIuyjv3MxgMBgMhsqGiuRjMRgMBoPBYDAYDAaDwWAwGAwGg8Fg MBgMBoPBYDAYDAaDwVB+UNLncRgMBoPBYKgYYB8n9mT++uuvY/d1NBjKAlgD /Ne//EX2F9U9RrNxYLn+r3/Nd31434804B16xjf7oRc1Ms//4x+L5fmVDXqu OP2tn+CedbQ3sk5/49qCjAsdX5yz8O0331xzBlBpgzqxn02wHcIf9sUxuW8o LBhnnFMxceLEa86pMBjKEtjf9MTx427T00+7x5YudXv37Mm6DxlnwD2zaZN7 YtkyuefVCxcKtE8Yspbz4+fNm+fWrVtXmCpEAnnOfqac0bIucOacoWBgP7h3 331X9nrZsmWL2+PHCfvZ6Tm98AbOBuR3zlViPzvuyQVwiCuffeZePHDArV61 SvbEP+ifV5Z8u1rPl156SdqBuh47dkzOMeR8woMHD7q9e/fK2cQGQ2HBGRLs 7bRgwYIC8XKDoSTA2GSscq7az376U9e0SRORh1FAhnI2/S033+zuqlrVLV60 yP33f/936nex7xg2LMAPwXmwtWrWFH1R1OAMmLVr1/7z+RMmpC5XWUFJlynp ffzO+cKc4fdv//ZvctYfZ9roPfglOLtn+PDhrl69eu706dOxZ/TEgfNw1q5Z 45599ln5/5IlS4RnlqX9bKknZxGyh9+PfvQjV6dOHbd582Y5G2jr1q1yng9t 8/jjj5d2UQ0VAMhneCnnYSLTDIayDOyrW2+5xd15xx1u+rRpkfuSYYdxXm6N ++939erWFd9FWmBrfvDBB3IurOJNb8926dy5WHiEPN/bxPL8LDwiqlyljZIu U9r3ffXVV278+PHuFj9O0J1hwA3xLaH7CwLe37dPHznzF6Czc+UiJQH8LOwB /JOf/ETsxCDws509e1b8MgZDUYCYxjQvk/F1GQxlGb9+5RX3YJs2rmWLFq5N 69YSrwgCXXP82DE3bOhQOZe+vrc59+/fn+8a/M/Yp8RK+OgZq9wLB5kze7ab PGmS5FVwnej5Ll2ER3ANvg3uC+doaK4DPnQ4OddF6Reuw3blOnQaZ9PL82N4 RFy5cnlnVBmi2gCdSL3I1eCj58Zwri1/a53jyoRdwrO4j3LwPffqPcSiqDPl DXPAYLtQF+7TvIZsbRAG/dW8eXPXqFGjyHPvPvzwQ7d06VI5cy8XaN8TJ2jU sKF7YffuVPVO00d6P+3De2hn2om/+Y124P/aLml8x5wbyHkCd999d0a28xxy Ing/+wN/8cUXObWB4Z8oqTyc4gTloczk+DDWgt/nmltDfRlLnK2Jr4sxHAXu 5X1R4z+qLPpsxj6+v7gcMu5nfnFNSZ3faSi/gEeMGzvWPfbYYxKzYNz+P4Hx jC2Kvxk7bMrkydfwCMY3Y/XM6dPuqaeekrNb9+3dK/KZ8btq5UpXtUoV0et8 jx5SHgEv+fijj9wWb+POnz/f7fZ6ROPujF157pkzomeIhWzbtk186sE8DsY7 7/nNb37jtj3/vNvqryXGDieK4xFx5Ur7zjCytQF6kPux12njwy+9JGfZ4A/n rLrXX3tN7o8qE/YIsoScBOJK77//vpyTix8d3Yn+5jfqTR8Rl9Jy0i7f+7Yk l2HHjh1u9erV4kvgTL6490VxBGQOOvM//uM/XL9+/SJjDSdPnnTTp0/Pd2Zv GlAGyjzWj79777lHnrE3od7I26Q+on7kuu/xbczY+t3vfpc5V5h7Ll++7K5c ueL27dsnMbqnN26U/J8kkHfzwAMPuFatWkmMg7YhNkjcpyz6T8oTSiIPp7hB eZgLE7zcCca3cs2tYVzBm/FvYWsNGTIkkp8y5sjHnO1tAcZhmrIA+MqpU6fk TGxkEjw6DPgJsqxHjx6Wr25IBDxigdfh6EBivp06dnQfeLkN0EWM5aVLlkgs IswjlDNv9joMXcZcQW6Ta0HeBXPhyOHDrlXLlm7MmDHCbfkOGdC5c2fxg6z3 +nXNmjVu8KBBEjNBHwLmxUqvO5gH6JHfe1tvlecH7dq1E72o3B3b/9lnnnHz 582T56M/Fi5YILGaOB7BvI4qV9p3BpHUBrwLPrH8iSdcba+D0IforI1ed6G/ 1AcQVSbyDpAB6Hp40RrPBfp7XY7/APkzevRoycVCnhw9etT16tkz0zfYxvAG 6sP/kdEDBgwQ2UEbxbVBGMgTOOTPfvYzkTlh8G708YwZM3LOi/yH5yTwVNqk rh97mh8RV+9Jvt7I2qQ+Qu7BPxo3aiT9sNLzJZ6B76VhgwZu+LBhcjbhM37c kIvRvFkz6ats5YdjIv+vv/5619O3M74JOBnvhA8aCoeSyMMpbjDP8MvdeOON Ms8UueTWMAYZv8T4GFucZ0nOOP8Pg7lCvBkfWbgt4sqiYP4z/uHFYf8yYN4z L9u3b5/hcgZDHIRHeL2LboHX3uPtQsYPNh3jB9mJnkZXhnkEtil2w/hx40Q3 cgY9MYV+Dz3kunXrJvbtq6++6jr4sYieUcAj4CuD/PiGBwDuQ+az1ok5gd3B fbxfgezmXdyLDmF+HvP6Ew4Cv1bAfRo3bpw1PyJcrrTvDCNNGwD8LkO9XdGt a1e3adMmsaPD9lRUW6E3u3bp4rr7Z1EW3sd9vIPnUWb43oULF1yP7t2FT1EX 1juM8TxDz/Hlnl07d4p9g30e974wsN0HDx7sqlevLjZUGHAv5BHyENAn+Erw TfCBJzC28D1E6Wn0/vOefxHXwF7LVm/ka9o+unrlivQ/eTK0vfYBY65jhw7u Pc+rAO0zetQoidtlO7OQ8uMzu+6661xLz73QZ808/2joy70nIl8o13YwFH8e TkmAeciYCOvutLk1cHn4Bf5D/AR84LzM27AvEP9Ynz595PdcyqJg/rdt21b4 eThuYjzCkAuUR6CL0Mn4l3v26CF+X/yKjH10SRSPQGdix7X1XJr1oHyW+L+5 bq7n0HDpOB6h+REK9AZ6d+SIEeK3XrRwodwXXEeHnMfWr1WrlnvuuefcH72d z/vQn/D9a56fA49I+84w0rQBYJ4effllV6d2bdGP+HeSygTe9TYa9aNdglA/ BzwM/URMqEXz5m7G9Olii+CTQdcF7RT01w+BWGcaHkG8CPupTZs2Yv+EQQwC PwV8CU6APwa/wty5c92iRYskVkE5sI2i7Mc4HhFV71z6CE43yXPS3r16SfsA xjA2IeNb/cTUiVy2Xv469Fgc4CeMqdq+/y7k5RDhj8BPrVwtWKdc28FQfHk4 xQnN1WEeMh/JGab8Yd2dNrcGHwzxt2CMEL4wZ84ceYaCexjr+DHezePEacui wAbAnwEvRt4HYTzCkAuURwDGEv5i1mUQOz/g+QK8WH33YR6B/ERX42ePy3lK yyOCeuNzzwnQAWI3huQJc/A+bxvj29by9undO198sCA8Iu07w0jTBgrkAHVG 3+MvCOcv5cIjsE0+vXTJ7d+3z23ftk30GbY7a24oEzkv+COy5Uil4RHU/Ze/ /KXowHD94EaHDh0Svyz+Z+QZOS/UUdeq4UNAHg0bNiwynp0Lj8ilj+J4xNQp U/LxCLgD3It3hWVpEMSRbr/9dte1a9dM/EdzI2hjzf+kjQrSDpUdxZmHU1yg r+lffKHEKcknwKaoUaPGNbo7bW6NjqEgmGean63QmAa5E9yfS1mC5cf3ATdm DgZhPMKQC8j1wV8LGI9wBOLS5CqwP5Xa01E8Aj8FsXV8a9jlQaBX8Ou+prrK z39FEo+Am5Oz0axpU9krS8EcO+RlDToHP7rOJfSKcvJ8z8/CI8LlSvvOMNK0 AUAGkBs41l/bwZeXuEdYb0W1VZQ+Zf7TL7Qfe2UgZ/ALELeHRwi/Gj9e8iWC PgRdv6Ex56j3hbFz507385//XPIIwkAHk5tAGdCtxHfx9SMbg7jk+Q58I2rP kVx4RC59VJQ8gjbDd4xPOopz0f7wBORtQduhsqM483AUjHv6Gz6f5oOez7Y/ 6Xd5uTnEBRg7IiP9+Prxj398TX5EUefWwEt6e/tJ709bljCQG5rzHqxrHI+w mJwhDMYE+TzBuUkuE/kG5CmS36NxM7UF4Rfk9gP4L1yjrv+OGDnyUdfjMc6R 9fjp0PP4k5lPfN544w3Js5wQ0PPIXOzpEV5v8Iydfo7xLmSL8nW+R08Q80aP Ejt8yuswuA3rNJgH1EPjfujsOB9yuFzMG3Lzkt4ZRpo2QO/jF2c/UN5LDKJB gwZu8eLFmfWhUWXi87Z/p7TL8OGZPqKsG738ID8Q3yXXEX8gPwBehV9z+fLl EkPBLiGujD2DXIRjqS0f9b6wnCD2f+uttwqPCPo2aGv8y7wPfzM5F3379hWZ FN7TmmdGPVufg3+W/MfgOvnMeAjUO+24ANh85NoE4xUqW8lB1zgYv2Hjds/C I+BirCnBH8EYCZef+rNmhD4oaDtUdhR3Hg6gn+hr8o3TfLDn49bx8n7yGZBj 5DgrTpw44e666658ujvX3JokBGMa6g9LW5YwaDO4R5MmTfLlf0XxiKI894Nn wbnN11G+wVhk7qFv8CMiK5HHcHbWHXTq1CmTu4g99obXOeTM33fffbL3IHOY sYCNTX4keY1PetkOL9mwfr3kEaLPGJvY3uwzxP/h4ugfdCByg+fwfPKvyc3n HYwt4svwDP6+6HkHz8LnwNxmv2t0M/Li/Llzch86B98KPn18/NXvvVfiHfwd 5dsPl4u2YE+mpHeGQRmytQE+Cl2fofuA0wbEHbie+a/6JqqtkKn4Qvle14nD CeAkNWvUkLxKroVHoYsHevmHjsQHTM4GuQ3wQeQvXIC2Uf9oVBuE5QM5MvhP sKPISUCGILfJESBWrflw2DXINeRvWj2p62zhBMTSaCPagvIx9sL1Btj0SX0E 94UrkTvZ2Y9j6sYz6V/sLmQjfIrxTu4l/iT8MnCQqHX61BXfL7Ft/DPoFvqU McpYps7EK+CEBWkHQ/Hn4RQ1sP+J58EHgvkxjJVwTkIuuTUgiSPxNzk9yE/a IpeyBIGsp915DmULnlMQxSOK6twP5ij1Qj6y3sxQfgG/R27j40WG4ovVMaj7 EuhZXOgl+AbX4VNGZhIv1r1V2BOBHEn8Augu9AJjG+DvJQeufbt2EmdgnTR+ cOQFOgI5jExGB3DvQ96We9mPVWTBZ95GYc0p9yEzONcDX0gwTshcQNei5+D6 +DNY3zfx4YfdLD+34BlR3DlcLuYTczTNO8PI1ga8B1t11KhRUlfewfesRYR7 8P3FvJzLcJnoA9kLw7cVnAhbXPNAkE3Ulbw0Yhj4TcnvlHWSnuehX+ESD/k2 xn5njS1rH4P8P6oNwkCv8j0+1Nb+2djzyCx0L+/UdsGPRWyH/IGgjyUbkJXY T+h2+m7a1Kmi3+FPcfVO00fUi3EGP8LPQNwEX8OBAwdkfJHnSpxC4wxwEtbR wInCe/YAysg6Jmxl9AH2G2XG/oNXN/VzQuPLBWkHQ/Hn4QD0M/dn2w8q+Mm2 1xWyEq4I1w3m50bp7rS5NSANR2I+MsZU7+dSFgXtAFenzciRwIfGmluNecbF NYri3A/egU+aviL31GBQMP6ZI1Fr53SvuoKel8C4Q078EOFXUOgZopQDuZPm XdnKleadYWRrg7TIpa14HzJT5zP3UeZw/AE5ELePVtr3cQ3yipgRvvuwzx7e wh5m2ETIiKAtTn8E9yYsKhSkj4obpdEOFQHFnYcDdK9bbOo0H+J+cZwEXqp7 WcB9FWHdnUtuTZocXf4PZ4VjawwvbVkUjEFiHvgpaQ9kA3YPcRbOUARxPKKo zv2gL+BFxiMMBkMQ+FXwW5BvgUzH70JcBx8u8i3bnqAVCdYOuaO483AA8Sjy CvDXpfmQ16l+1TDgM8RZ8DOQgwRf0Bgn6zIoI74D3pk2tyYNR+J6YhpwA+X+ acvCd/jIaE/KRP0U8ApyJFhzynXZ1muEz/3Q5zLG4z48IxhvMh5hMBiigG2F jYT+RD5g4+ADxR6LigNXVFg75I7izMMpDmCXk4/FukriWuREEdNCj99www0S Y4AL8H3a3Jo0HEnXafCeXMrC37yDGAv5cOQmBOMSjEvKQfvruT9x6zXC537A D+gzro/7EDshz0lhPMJgMGSD2jPYcoWJ8ZR3WDukR3Hm4RQXeD950uQokSeD Dh43bpz4/Ck3+Wfk0qTNrUniSHxHvIU8hnCeY1JZWNcFdyHfgpzkcByT8Ymu p22JdUTxiLhzP/he87/jPnr2nsJ4hMFgMBiKA2UxDycJvJNcAXQzZSgoZ0zi SOhhYgS0S9yalGxl4R5ianFrNrmXPEq4QphHZDv3g/aGTxAbifvgbwqeB2Y8 wmAwGAylhYqaf1KWOFKYR2Q794Ny0QfkpcZ96BvlhPAh1vbib2I9GZzJ1kgb DAaDoaRQkfNPygpHQrezVyb5Gvgh0p77kQb4SLiXXFF4BLkVduaMwWAwGEoa FTH/pKxwJPQ65SDngrZNe+6HwWAwGAyG0kdF5EgGg8FgMBgMBoPBYDAYDAaD wWAwGAwGg8FgMBgMBoPBYDAYDAZDZQFreNg/hP1Fgh/dE4Qc4eD37DuSZn2P 3st+Zaw7LinwXsrHXi7fffutvJu6UEctd2mVLRvKQpnY24YzEv/Lt52ec8S6 L/qdcpVUvni4HAaDwWAou0C/ckbt1i1b3BPLlrmVTz7pdmzf7t595x33D693 P/7oo8xvT2/c6I6+/LL7/OrVxOeiuzl7dt68eW7dunXFXxH3r33fT548Kefe Pbp4sXv22WflPDr2caWepVW2JJSFMsEVtmze7BYvWpQ5l+/SJ5+49b48Cxcs yJxPXNLlMFRuwP8526mscH6DwXAtWJ/MmbXV7rrLNWncWM6f071G0Mtr16xx DerXd6tWrZJ9zML7kEQBXcBZcrVq1pQ9U0sC6GL2eW/btq2ccffBBx+4l48c cUMGD3atW7Vyh/LOty2NsiWhLJTp22++cU+uWOGmTZ0q/cyeeXCygQMGuFYt W7pzZ89mroVjwEFLohyGygvGGWd9ctbU8uXLjVcaDGUYnIfTvFkz161rV9mH FWAHcPbenNmz3a6dO3P2Mb958aLr0rlzielFzq0ZOmSIG9C/v/s+IG/ef/99 N3vWLLct7zy90ihbGpSFMsERg/1MHIu99IM8gv3r4GicHVhS5TBUPjAGmNPs 6VinTh3XrVs32c+xsu7HxLzDJ8NZWJynXtrnnBoMYbz+2muiK7r7uco+6cxV OMS8uXPdC7t3ux8iZLrG9LEROFuOmHZwf3T2geeMXPQic4DfyVvA/xE8jwV5 wXfYv+gO/uU69lrN5dwW9mfv6t/HB/mjeogynj592u3csSPnsvEb5cFfQD2D MoxyM5f5neu4l+v4W/Ug/6dt0MdJfpzSLhPv4AxA2l37kWvxRymP4JmcOwy3 nDxpkvir1C+RNB7S9nVUOZLqnfbZhvIDxuduL3s4s4rzJ8+cOePmenkUPiu7 MoCxDX/YtGmTnNPNXtn79++vtJzKUDYR5BHvvfee2Jozpk+Xs92i9B9ympgl c3vLli3ikyc2wjkueoaM6sWRI0dKngUx7/nz54tsUP8kuuHzzz+Xe8nDYO/4 3bt2SZ4AMYo/5xATvXLlipvodfCdd9zhxo0d6z70NrNydnQJuk2Rpmz4Yz78 8EO3Z88e8WWQa3H8+PGMjsYm2OPbh3vhLcSDOMOG9rh8+bKUZ9++fRLnJ7eE emZDaZaJ/kQ/0587d+7MnLkT5hFcs2rlSle1ShUp6769e2W8pBkPafo6rhzZ 6l3U48hQ+oA/cn4245d+hQfy+eqrr8ReKM9AFjGuGaNpP/j/mLeb/bxmTk2d OtW1aNFC/h8GXJq5SBvSZshAzvgiRgi3TxOXNhgKAuURD7Zp45Y/8YTr06eP 5PvF+ZaxD8jJnDBhgsQNfv/dd5I/0a5dO5Hb2JPoxc6dO8szydVb4/XR4EGD XL26dUUPAPQjHJu8gBbNm7uNXrcRGyc20ahhQ4mnpAW6BP7Dc2695RbX0tcH HYxNGp47acpGXubo0aPlfBzm5NGjR12vnj3FDsC/uH37dte4USPXtEkTt9Lr 1jWrV4ud3rBBAzd82DDxwT7zzDNuyZIlEjN69NFHs9rFpVkm5Atyqk3r1q7t gw/KecUgzCOwf44cPix/jxkzRs79xSeRZjyk6eu4cmSrd1GPI0PpA53HWOUc yMWLF8vcrghgriGj6tWr56pVq+YeeOABV79+/ayf2rVru1atWrnnPX9WOXbq 1Ck5g1PHv4K5ceTIETfbz3k4F+0IHx8+fLicH/r4448LP6so7WkoW1AegS1f x4/bX919t+ifoA2vYKxy/luH9u3dLm/zKeDY48eNc506dhRdgl7k/4MGDhRd Ds6dOyc6buLEiZn7sDOR97179XJf+7EPsEfRB4888khO9WB+vOXfO2zoUFfl zjtlrs6YMUM4fTjmklQ2/ibfgroyf8n36tG9u5vvbVxw1dv2D3u9SU4D/gPA vzyzY4cO7r289SG8e/SoUVKmbH7I0i4T71y6dGlWHgHIpaHvaVeQdjyk7euo ciTVO+2zDeUD6Fv0IXp2wYIFpV2cIgVnf/f0HPiGG25wgwcPlvzRuA+8mRxT Yp1wdaBchO91DZoCXo+vgrgHcRB4QzNvL3T0c7B69eru+uuvd+39PCU2mRbq 0yDOZDBkg/II7EDsWHTCfX7csXYynCONz2zRwoVyTdDHiD7Cn16rVi333HPP 5Yv3K7iefKmRI0ZkvoMfD/J2N7a3xiGCOYd8B7fO9vmDL9M/AvtacD4eazZY Z4JvAu6O/12RpmzUBx6FXiNegG8DnUS8B+BvneT1u+gt/ztg7pIX1rNHD/k/ YG5PmzbN9fLXfZWn36JQ2mWin1nfmyuPSDse0vR1XDmS6p322YbyAbgifYw9 DnesSMA3R/zt9ttvd3PmzJG/48A4hjPsDPjTmJN79+4Vf1/Yz3r+/PmMLxmf BTFN1f/ENImZ/uIXvxB/ZC7lJVcuaCMYDFEI5kfAVX/jx2MHb7/WrFnTrVix QvzNCvaPQFeJfRvQzYC9GuAf+Lij9CL7UmBHJvIIvdfb1uxbQN5Dtg/v+51/ TnCPLOxk7Fjs4dtuvVXWbGicJk3ZeNanly65/fv2ue1+3hP3p32me/0r7RCj s6dOmZJPZ6On0Xc8m7kch9IuU0F5RNrxkKav48qRVO+0zzaUDxCjI55BDgB5 PdjE+Borij9efRINGzaMzfegzvjx4ODqi0Cmsc8MMQ7iiUHwG9c+6OcNeeVc p35ABfvowF/Gjh2buqzkUb/00ksSZ80V9FfQDwzv4TvL0aiYCK/XQN+igxmT tR94QPLmNKcNW3/B/PmuWdOm7sTx45lnMO7Zo4F49NatW4uMR8BhmA/ZPvi0 yTli7gRBPQ4dOiQxDnzeOveSysY4h7/w+9q1a/8ZL3nrLZn7pcUjirtMaXnE a8oj8nwBacdDmr6OKkeaeqd9tqF8AD07YMAA8fuTN3jVc1XkEXM8zX66ZR3Y +HCBbD4JxjD7t6gvQvaF81wa/wS8QvdwUZ2sMQ3Wc/B91DPJTa5bt67kb6dF QXgEcpd5TH8Rg1T+Rw71xYsXpT8NFQ/oBvzErJnU2BnjkHy2+vXqSc4EefDo FXzMrKEk/w9fhfJNvkdf4EdG7mve4ISADH/H60W4ygh4RF7OYUZmePmPzACM tc6dOrkJ48enKj/jltzu6V63BeMw6LJXXnlFyk9eoK5RTCob5di4YYPkIjJv eT6+PXwbzFXmrqwP8To7GBtAT0/xOruH19k6V/iNcnVPwSNKs0y027LHH5c8 T80D1/0jWnq7kFwDwG/4HoiVUAbKRX5n0nhI29fhcqSpN/1cFOPIUDaATx4b Bv87nJGxSq5TkyZNpJ9zBfOeMY+NlOaDns4WbygKYPswJ6N8EkFfBLmSzCly IcgfRs7h9zvreT08QzkzMQ1yKTf4uRIFnsF8JFZ07Nix1OUsCI9ATxCPatSo kWvdunVGFmEXdPLzEXlkqDjQNff4n8lpau65xDHPHfR8DfIOyHn72U9/KnvB sO6IeDjrkNB3/fv1cxf92CBuzTgn/3/dU0+JzYDMR/ZjU+BT4Dv8beRgcJ/u vYyfnLHFHMCG5jp0P/Yt3Jp706z/Z26wbyX2M7qTeDp688knnxT/KGtYAe9M KtuXrNV++mlXs0YNyeVjTsOjWPfA/o7IGuYEeYroKX7nGbQLMUhymeAF6FLy HOEw2PDo0yjfbGmXie+4f9bMma5x48biw2EM4N8gR5F3sMaT63huv4cecn37 9JH/IyOSxoP6M5P6GnslXA7GyTObNsXWmzKylq6oxpGhdME4wVZnnQJz98CB AzK+yLdEL9H/jCd0FesZ+aD3s+2bjc6Gi8Az03wYt+q7iwNjCU6b9FGeG0bQ J8EcC/KWsC8CWUbeJVyqatWq8qEtWHsFgjENbI8oIAvZf4N4ZNxetJRT95nR D3ML/UA+RlTd4kB9WHMDb8EnAfAHU2b8Ibn2oaHsgvFELhrrhOD67dq2lTX3 jEXm8+VPPxUe0dTLYvzT2Jb4lpHdn12+7JZ6ewGfMesS0XHoGuQ344Lr2nib Ep2j68DRKfirH+rbV/ashqcQ78a+7ePlP/FvnkueEL50YhFqgyaBdRqUBb8+ c4U1j4xXbPm9eeUCacuGjcC9cCvsWfKMlnj5gl5n/wVkALoUm57/Y9cj87gf vw5zCD8kuhD9yl6h8DB0ZRilXSbWbxzYv1/iAnALZBY2z0v+OtZ6UAZyKbmX uU7+ZPt27aS98Q0gf7KNByDrUhP6eu+ePbLuM1gO5Dm6I67e2ElwrKIaR4bS BXYK8uhXv/qV+Lmwx9kLpZ8fr8SysHvQOfyGvmdNAjnDBYnfFxSMI3Q7/Cbp Q9mj1r2BoE9C9T9zifvUF5EGcHnaABskyo9Cm5G3CpfKluvNdbpfhX6wPWhb ZGq4bnCTbHEm5AzrRXg3oB3I0YAjlXYfGsoW4CLoiKg9L0sS2Mqam0yZiBcy Zwrjn9R9FZV3847v8/ZLKi2UhTLxbt4bJUOKazyUhXobih/wV3Ja8EehwwBx DvTRvLx1vvjM0b/EOBiD+BrRkXF5mIwRxiV6Ms2HsZXN1kbOYKPj00v6oB/R nVGI8kmEfRFpAJfXdRpR7+B31pCG14mGQY4Rtlew/PB3/BwNGjS4pm74i5Cz caDfOO8IXwZ9Q39iJ+ha8Vz60GAwGAyGNCAXsEaNGm7SpEmiU+AArJMk7opv Df3Ovqb4SNljAm6JLiM/QHPBw8AHSJ4m16f5kJfDc0sC+CTwHxKnwCehvgjN k04COhkugi8zfCYvv/F87H5yhRS0a9p81cKs1yDW2LVrV4lJ4V8l9oy/A59L rn1oMBgMBkMSsJ2Jn7PniOYC4gvHVifHCR1LjB19iy1L7J0YGmuGsvmliI2h m9GFaT7YzDyzJIA+p2z4JMgbpt65+CI0pjFw4MB83EDP02OtHTwALsWH9sQH kOSbUBSGR8BryPlmXyx8E/hFFLn2ocFgMBgMSSAfgHVA7F1DngRA57GPHHsy sq6bD/oGHUXOxJ133il7ppOHUF73JVCfxI033ij5Aml9EQDdTG4x++4paB/a DZ8O/AueoR/iEeREo9fToDA8grwm9jYnr4mcr2C+aUXrQ4PBYDCUPlhzzppA zvgMfoeO4YwJ4hr4LNTuZl0Q+o11DHAN3U++vIH6aOyGtZ1pofuH9+/fP985 qKxN4ryZe++9N7O+Qz933XWX7MWSNm5TGB7BHmKs3WUtatDXEIyrVJQ+NBgM BkPZhJ5Hr3oPvzw+cd1jl3g6OYScfRV1/mV5AfEJ1nmrHyYNsN1Z64UdH9w3 sihB27N+mnVduQLOR/+E4xUVtQ8NBoPBUPaB3iSfgDwKdC7rB1kzjU1utmzR A65CO7OvS1HB+tBgMBgMpQXWZZKHqDkB+MSJheDfN5QPWB8aDAaDobRAnAMf Pv529BE+8uLew9pQtLA+NBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAY DAaDwWAwGAwGg8FgMBgMBoPBYDAYih7sVcb+6ZyhF/z8/e9/z+xHG/z+L3/5 S6rzZvVezpf7/vvvS6Am/3ov5WNPtO++/VbeTV2oo5a7tMpW1qFjgXahr4sa mXb3fVOZ2509gtkPmHZIc76hrrWnT+gb2tBgMBjKCtAbnB+7dcsW98SyZW7l k0+6Hdu3u3ffecf9w+vdjz/6KPPb0xs3uqMvv+w+v3o18bnobs7lmzdvnlu3 bl3xV8T9U94ia0+ePOkee+wx9+jixXIe7cGDB93hw4cz5+SWRtnKAzi/4Mzp 027uI49IuxU12G/m/Pnzcgb0usDZhJUNcIEtmze7xYsWuT/96U+J18MhLn3y iVvvx+rCBQvkjERD+QayCjmEXVZWUR7KaCg7QL5z1ly1u+5yTRo3lvNd9exW 9PLaNWtcg/r13apVq+Rc3zTnuiIrOfe+Vs2acrZcSYAxv2PHDte2bVvZa/WD Dz5wLx854oYMHuxat2rlDnk+UVplKw/47rvv3PLly11N3y5zZs8u8uezZx17 6Eu7T5hQ5M8vDNDVcOqSePa333zjnlyxwk2bOlXmUxI4wwhuPHDAANeqZUt3 7uzZYimnoeTA3o2c971r167SLkosykMZDWULr776qmverJnr1rWru3TpknxH HIBxhE7ZtXNnKh9sEG9evOi6dO5cYrqaM++GDhniBvTv774P2Hnvv/++mz1r ltv2/POlVrbyggu+v9u3a1csPAK8+eab/2z3MsQjOMMYzvnrX/+6xJ4NF89l PmETrl69utLwCNoteH4l7cV3aWyY4kZRlK0wZ3GXVNuUhzIayhZef+01kVHd u3WTc92IwcIh5s2d617Yvdv9ECHzNN6NbxZbk5hvcOyIzujSRXQ1Y4jfyVvA /8G9CsYW3+n5svzLdfjZg9cl4e2333Zd/fv4wClUTlNGzuPduWNHzmXjN8qD D4N6BmPTlBsfCL9zHfdyHX+rnuD/tA16IM0cSmrTtG3F/5ED/MaHcqbBhQsX hEfAu+CR1If7w7Z6UjmD1/EcruNZ586d+2e7ex6hbUuuhOaxcD31oj74wuJ8 BNr2XMdzaN+4dshWTu795JNPhDdNnjQp3zuztWGafoh7Nr9j63FtuCxxY43v 8QtWdB5BW1J3zo5mLNImgDa56Ln/1RQx1fJQtoLo6JJum/JQRkPZQpBHvPfe e2I/zZg+3b3wwguR+o/xwnmvZ86ccVu2bJE4AbERxg8yD6iuHjlypORZEBOe P3++2+15icaFGWeff/653Esexqeffup279oluQvEKP6cQz7elStX3ETPC+68 4w43buxY96G3A1X2I7PRI4o0ZUP/ffjhh27Pnj3iyyBn4Pjx4xne8PXXX7s9 vn24F95CPGjZsmXSHpcvX5by7Nu3T+Lg5JZQz2xIatO0bcV18hzPnYjvUKZ9 e/fmq38cmPvtPI+Y4PX8b86fd48tXeoemTPH7d+/P3Oeb5q+B4wb5Ad8lPaj zKtXrXJtWrcWHkE7c74fuSzIKnxEygkYfxt9m73zzjvXlBHde9W3LT4yzh7+ yPcRz57jy7l161aJFSgfSSon5Vu1cqWrWqWKjAfaifGfrQ3T9kPUs+G6fE+Z OO9Qz2LONtZAZeER1PPFF190jRo1cq39OPnqq6/k+zfeeMN16tRJzoRkXHEd Z0/z4czpbHm76EOeQ1un+fC8qDOj0pQtLQqio9O8n7HJvPryyy+lHsg/bS/k FR+4dBqbpiTKSHnUxqLNmXPM3yAf17xkvufDM7mPeZSLnWkofiiPeLBNG7f8 iSdcnz59JAcxzvfKGCUnE31D3OD3330n+RPoIGQpYwJd3blzZ3kmOWKMx8GD Brl6detm8vgYT5s2bZKYeYvmzUV3EDsmNtGoYUPRFWnB+ET/8Jxbb7nFtfT1 gReg/8LzJk3ZyMscPXq0e8K3B7rr6NGjrlfPnqJTkVvbt293jf18adqkiVvp 9cWa1avF9mzYoIEbPmyYe/rpp90zzzzjlixZIjGjRx99NOu4T2pTZGZSW/H8 L774wm32dUAfYQ/Dcygj70/K9YdH0CboevItZ8yY4Tp26OBq3H+/e9zre2RL mr4HtPuzvv7zvX5VmUGeIH0Dj6CscBXqQrtyDaCvXnnlFeEFyIqodqJNq3j9 TD4PXAe/Wc8ePVz1e+910z3//YuXO2nKSXscOXxYxv6YMWOkDPRttjZElqUZ s1HPhn/ALWnftg8+KPI1aayBysIjAP3C3Klfv76MR4Avh7kE16dfmXv0xeOP P+6mTZuWVdfBzxgTAwYMSPXhufR/QcoWBca5+if1g54k/5vxGPyeTzYdn/R+ yeH13LZr167ia2VcwSXIrxkyZIh76KGHhLuH19yVdBmRy/369RM9A+9ArsDh Fi9eLFwD2wN5zrOYf8jkuX6OL/I2GX05fPhwt9TP+ygfqKH0oDwCW75O7dru V3ffLToxyoal7+j7Du3b58vBYRyMHzfOderYUeQ2upr/Dxo4MGPL4tdGHk+c ODFzH/McGdy7Vy/3dR5/xV5DRpPbnwsYe2/59w4bOtRVufNOV61aNdGF2Izh mEtS2fibfAvqyrxhTvTo3l30IsAmRh8S78enAfiXZ6J738tbH8K7R48aJWWK 0+Np2zSprZAP2LTcg86Ce1CPfl5+dMvzNWUDdWzRooUbOWKEyBHwjrehyZuB X/CsNOVE1hzzuhBudurUqcx1Z70ObOx1v+ZHIFNYCwTPOuxtH4B9cujQIffc 1q2x5XzrrbfkXX29HEKvAHxA6OtmTZvK+pw05QTkBnEd4wSkacO0Yzb8bMB4 QwYGeUTSWKtMPALQ/838mEDfAOQQfYo+pI16eM74kZ9r9BU+U3SL+tBLs2xR IP6FDCBPRj/IH7gP4yL4PR98/9nW1ie9Hx3cxs/VmTNnZu6BF8FT2/uxGOW7 Keky4l8g36dOnTrCe+AL9CecnLkAmAfwIHzGcCLVRZT/SW8fDPO2msooQ9mA 8gjsJGxrZN991avL2snw2jR8T4sWLpRr8NMq0JHYbbVq1RJ/czAHQcH1yGL0 lOLjjz92g7y+QedoHCKYB8l3+LKyff7gy/SPwLhm7QH+aNaZYP/27ds3nw5N Uzbqw9hF7mNLMyfQE8R7ADpmkuccokv874D5OnnyZLGN1abBDsVm6uWvUz9f GGnbNKmt0HnYU+go9DOfJf7vKb5M+BdYM4iOZy4Sd9EPuhi5oPkRwTxL+h+/ Pj4J/ABpyvlH3268F10YjIlm2j2QZ4ncYOzRbtQJeYLtQqwoDrybGByyUUG9 0Cn4CYgxpCknCOv6NG2Y1A+KKB5Be/LMII9IGmuVjUfAPVl3hS0MP2Dc4MdB 38DxmnquiF2NHmF+sZ44GFMLgnGBvYuuTPOhL7LZ23Fli7ONGSvY4XBc/Yzw MuZB3/8NGjTI9z0fdKT65gryfsZUz5493YIFCzL34ENjfjH3omyZki4jQC7g K+zgbS44OL/DPxT4MPA3wUfC8U3WAnAtfMRQdhDMj8CPhL+Z/mUN4IoVK/L1 F/tHoD/F5g7Zt/jB4B/4k6N0NftSoFsSeURA3yC3yXvI9uF9v/PPCXJkxiw6 CtvztltvldxBjdOkKRvP+tSP1/1+fG/ftk14M+0z3XMCaYcYHjF1ypR8PALu gD7g2ejsKKRt06S2wqbgX/L64mQh85P6aE4qn1m+bZibUTyCNkOvETPguWnK ST2REX169874C8JlVaC3kWH4O8iHxWeBHRSV26uI4hGAnAJiHfgS0pQThHV9 mjZM6gdFWh6RNNYqG4+g3fDNowuZZ8eOHZN+AegU/BH4zfF3YzNkW/ui+b3w jjQf8mey2bnZypYWhVkLkfR+xlR3L2uID2hOATIUXhDHI0q6jArkDXyDfIpw HB07AvuPMsPvgtD8J8uPKFsIr9egj5h78NHaDzwgOWrK95m3C7zcx398wstt BX3KHg3EiMl3KyoeAYfBB53tg5+Z+c/+UkFQD3grMQ780LpPY1LZ0B/MPX5n zwOJl7z1lvD84uARads0qa3Ut0/cEf0cBHKBtvxHns5C5+oH2cNvUTxCyuDb sGWLFpIDkqac2CpTp04VPa77f4XLGryXfAieOXbsWHdg/37JK8iGOB6h+Qjk K6QpJ3hNdX2e7Z+mDdPyiPCzQZhHpBlrlY1H0B7474YOHSq2Lb56BXOa34mv 3+nnNWMAnRPH+ZiH+J7Qh2k+2MXMx4KULS0Ko6OT3s+YIgcIO558Aj7MxXr1 6pUYj0jbRswFfA733HOP27BhQ778VuYA+oecFeML5QPIO/yo2Kb4IwB9Sr5X fT/+yJkgNx15xjhkDSU5ifgq1FfF98hmfLuMI81lnBCQq9gSyH+4scsbG/ix GSvIZOWdrBHq3KmTmzB+fKryI1tYL0GcNBiHUR1F+dENuqYvqWyUY6Mf18Tt yd3k+cwFfBvMSWSWrA/xPCIYr0BmYQdgL6k/n98oV/csPCJtmya1Fb5x8g7r +ucQG0Dn6bpHfL9BnRoFXa+B70aBnsQ+hofB19KUkxyHp7xOZOxszYt/0hfY KdgfY31fBH2c8A507d3VqolvgjhPNiiPIHaqcXHKgL6AwyGD0pQTwD/hO/h9 6We4A/GbbG2YdsyGn82H/bCXedmJ/4Xf04w1jSfD5fABV3RgG5AT2NzLJOZ1 cC2t+hyJAaHjyIHCbtU8p9IqWy4ojI5Oen9B4holXUaATNB9heHs5MUzh/Ra uDrf49dIu27dUDrQdfD4eh944AHpd/LjdC0/eQfkhP3spz+VnJjNmzeLjCfX Bh3c39sEF/24ZQ5jdxJXZs9j5joyEdk4ePBgkYN8h9+aHAzuQy4j39EtrAnq 3bu32PVcp/YpOcbcm2au4jtj30rsNvQ5OhVdTiyP3EFi54B3JpXtS3//pqef djVr1JBcN+YF+pC1GOwriM+G+UruJLqD33kG7YJuI58JrsKcJfcSDoNdiu6K ywcjrpCtTZl3SW3FmkPWKpIvSj4jdjn5TRvWrxefUpKspcxwIHQh8Qiu5zvW auzOy1dMKidjiv46f+6ctCf6njLi14SPEB8h3sHf6sfkHvYepdyUOQlv5+V+ 4uNh3SdjkrIgk6gr709TTkDfkUNJzib/Z+y8cuJEbBvCM9KO2fCzGY/E32bN nCnPxs/DPHhm06asYw17m/xNvmP9aEU/YwOfEFwOGzXo62ZOw/c1zopdwxoX bG04WWmWLRcURkcnvZ92YA6HecSkSZOER6Tdt7U4y8h32CTEpeAS6kNBHqsN wXxduHCh+FX4PbyvD+UraPsbihb0Bflhs2fPdk283GznbUVkMXOVvrrsZT08 grwmfMHYcfhe8el/5sfKUj9W8OMyHtC7yDhkKrKW68gbRo7CSbkH+Y0/9yFv P6A34CnEg7HZ0C3Eh3kusTJ8uNjAaqMlgXUalIVYA/FofPDYtvgX9uaVC6Qt G7qKe+FW6FXy/sm3QzeyJ8Tzzz8v+gE/A//H13DgwAG5H78Oa580Hwhdht6D h0WtZQTMk2xtKmtNU7QVvgDWPpAzij+AOmGTZ/PVKijb896mhx8tzjufBFuZ 56reTSpncGzB7bCNsDVoS+Il5LOgR+EZQT8m7c0zw7GpKCiPYEzifyGfi1xQ zoZRHZu2nLQruZfEc7gOXwDcOq4N0/aD5rMGn41cJm5DTAReyT7k8Ba4Q9xY g/ewFxzrgCgH+aO652xFBeNC9/gKgrmLzwk/EfoGrstc7u/bvKT8EXFlywWM UXgn8qAo34/MPuE5cCtvT2neMvMWHzP8FpmX9myD4iojv+FrgJ/Qj8xT5hvz 54477hB9w7yhjPgn4OrUhTHP/GMM4A/EvonLrTWUP6AvpN9LmRsy7vVMGcqE r5yYQtSeMmmh+w7qvOMd1LW4eXBRtCllJx+kILar7Aflbb6keZqmnHq2KuUJ +qWD0HwcuF8aeymYH6F9km0teVI56V+eEy5bYdow6dlhlNZYK09A37B/F7qF 9VjoIuKI5EeWJ9DH8CDdh6yoAJfCZ0beIlwVexAuQXya+AAxRdbNpjmzubjK CI8hJ4J4MDYW4x65Tb/io6OM2GPMWeQFPlx4BLkWcHn8T9houea2GgyGigf0 Izoarod9ghxBxqXB21624I8YNWqU5WBVIugZ6nAsOAVxjsLYCYbyAfVZ4I+o 6DE9g8GQHnAI4kHEDvBLk1eu62myARuFHBB8t8Sl8HPavnYGg8FgMFQuEDMh d5PcAXzT2fadCgIblH3vWO/A3tHsca3rbg0Gg8FgMFQeFGQ/GTlb9W9/k1wC PsR/zR9hMBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDIaSADlvrNNl PxPW07F/kOyRnWL/s8oOcgV1zyX2DyoN0H/sGcwZDkW1f5Gu2WdNJnWz9dsG g8FgCEP3+WDPc867Y684zlTgTAH2B2Z/7LT7sldWwLf03Bn2eC0NoOfZh5l9 u4PnlRUGcIhLn3zi1vs6LVywIHO+lcFQEcC+jaxBZp9F3Q/XYDDkDuxn1vJz NsSsWbOET+CT4PxHzhyUcyiOHCk1LoEuK+s8Bh3OnrS1atbMdx55SeLbb76R c6Wm+T5DLhYFkLEnT56UM6Mqy7nVhvID/G6FWfeLXOGMHc430bP8DNFgzTX2 CWcOcLaJnt+BjGAPFz7IQXQH58bwN3trsw8l/2fvF9vnvWICP/XePXvkLMFH 5sy5Rl9zhtWUyZPlzOLjx4+X+Dhg7HKOJmcflXVw5hlnmZUWjwDM66LuI+w0 zq02HmEoS8CPin7ivJU0Z0/FgXPmx48fL2fKG+Ih/s4tW+SsDmQc5+fCJbAz OAeMs8L5nXPzOA933Lhxco4af3N24mOPPZZqz1pD+QNnuXD+MmfBRZ21yPzk 3Maa3s7mXNevPBdFr+DD0PPFOfeF8cEnzEPgAfBVxiBcNhhf13PL9Ww4/oXL sr8Qz+VezqrjnMjJkyZlni/nSKUoA8/nd54r+xf5d1EO/lZ9y//hyTwvSRbp e6iH3hPU2ZxBx9m8zDHeR64C9eG9wb2W+D9l5Dc+lDHYJgUtM8/V856CNlpS ubP1EeA3zmNPwyOS3qV5JPo7bRQsq9Zf60B/8gzuy/ZbEpLaPNs4zOU5ceXT dqGNtV203tr+jOfgmKYsPCtqXhn+eW7Xpk2b5AwnxhPthu2LLYy9zL86B/md 37QdaXsdg2fOnJGzWoxHJIPzcNEVM2fOzHxHO3NmXvv27WX8Ym9ydm3wzHHO 69y/f7+0t6FiAbnHOcY33XijG+r5ZJyswh9AbKNxo0Zuq+ebhw4edMufeEL8 gcg6zszmrIQVy5e7U56bKpCbxEj27NnjtvnfObuZMaY6El/Htm3b5Jmc30Zs hfwC9jr+sx+PyNxVK1e6qlWqiH7mzOf33ntP5EJSGXg+tsqeF16QnAH2XeZa zpeGM1++fFnuIR+EfIKnN26U8mRrq++93OEsW8qHfc6Zupxhy7uA8oiRI0e6 j/33vJezy3fv3p3JV+BafH2cEUEeCuWhXsyvwpSZNqC9kImceaXn9CWVO1sf KdLyiKR3UUapuy8j9SEORP+//vrr8g5kOzKJsmzfvl3O037yySdFvvN73G9J uZ9JbZ40DtM8J1vZ9bzRs77t0Hsr/fecYX7+/Hl5N33FmZXYa8he/FrKlfHD sQ84fL+ygHHEuIQnxH3gDMyHsWPHugceeEBsHezjuXPnunbt2rlHHnlEdBtz gfPZ6cs5c+aI7cw4ZMzr2dX0IzqwpHlE2noW91lkuZTjjTfecD179nQLFizI 3E8MlTM5kX3MxdN+fnTs2FF8EYCxDBdGBqqsNFQcYOuQE/jLX/xC7P04XL16 1U30Nnb1e+91GzdsED3QpHFjicMDxiH5mHVq15bzlhTMa+YyZ70iZzm/ljMR 4KWMKWQq+QQtPHdFVhLbH9C/v2vUsKHb5ec/Y/LI4cOiv8aMGSNxOfWLJZUB uY08h/s0bdLErfR8hHOp8W0Qwxk+bJicP4scWbJkiWverJl79NFHY21bbBl0 IjqA/1O3AQMGuIEDB2bOd4BHdO7cWc5+IC8ROTV40CBXr25d0c88G12z2f8f nY2vBb5A+Xg3a2QKWmbsLvhFm9atXdsHH5T5nqbc2fpIkZZHJL0LG5HfJkyY IHr29/4afJ7IfeQ8bcOZwvBG6kHd+/frJ2MTPRr3G++KQ1KbIwOTxmGa5zBH 4sqHvnvuueek/+BU9E337t3dXVWrumHelj7sx/hvPKfg/bQ941zH9CuvvCL6 D45YWcC8p31f8vMZvrnL8zp4Am0Bxz3obYi9nr+9+uqrIr9oS7gBH+ZZE98n jBfGBWdTw2fpA3ga+k/PaGHMA56Dr7WkeUTaehK3KSvl0LHLmTjMHT7kXpNf EuQRzGnmBXOeuBHPrExcuDLhO6+3Fnh7+bZbb5V/44B+m+d5/u233SY6GvsR vqk6HKDXkZ9BHnHu3Dnxc3AeNDKRvE1iKPO9rQewCZDXvXv1cl9/9VXmOchT 7AnAHO/gbQXia0GkKcNVb7s/7HUWOQv4BwD/DvJ6rWOHDu49r+cANujoUaNE pkfZtujXg74OY7y+1XPv4WDoGGIYesYUPKKTLxPPx2eibYCumThxonB+7NXx 48aJHUq78ju+Hs69xNdSmDLzzqVLl2Z4RJpyJ/URSMMjkt4Fb+Ad9CUyRYEt TnvQblyDrOrq5VF33x78RpvxHJDttzikafM04zDNc+LKx/NpY7i4xnWQ14wL OASAJzzh7WK4IXwY4I9ADz5Xyfzt8AF4GTbuj370I1enTh3hp+RBouvxqT/o x/jChQvz8QiAX6mDnyfYG7Q1Yxd/6oEDByR2wTPpJ/Qg3BWgBxmjJc0j0tYT flpWyoFcgSM08+MUOcuHXPx69erl4xFwOWwq5BG5E9gT7+bJLkPFAj4BOPn/ vukmNzOkp4PAPpo+bZqrVq2a2MhpeQRjCu6PfsMexb+PbJ4xfbr8/vHHH7tB 3l7HZtc4czhXsTA8Ank/yetv0Q95PgNsSuZLzx495P9av2m+fr38dV/l6ZEg sGtY8zh8+PBr8g5+iMmPUCCz0DMjPV9H98DR0fPoDD5L/N/ksc71+gp5Vpgy S3/6ZyqPSFPupD4CaXhE0ruIByzycp++DNpXolO9zKpVq5bY7O/m5evQXmFk +y0Oado8zThM85y48skY6NrVDfE2Lz5iQByDs06x9RTwEtqYvqYc+C7wPaU9 C7UiAf61YsUK95Of/CSfDx3QNsSIGKvExuAR6i8P8gjhsZ6zwgVpQ/QgbUtf wSnwuzM++RsfWWnkR6SpJ/y7rJSjIHENfKXMAXIkDBUPxLt2bN8ucQ38UnHr p5CzyEA4J77ztDwCe+xT8mv8Pdv9/MYGw1aDk+hzr5Hfqov9vAbFwSOmelsk qJPRw+hNdAD5B2FgX48bO1Zs7WxrIaJ4RFC38Bzqha87LqezMGUO84g05U7q I5CGRyS963Nv71Av8al42z0IdOl91atLzKOoeUSaNk8zDtM8J658yFk4Fv1H /IKYG74NOBfvVsBVyKchLoYsRnYTG/shy5irqMCfQ/7k3XffneFajCtkFnIK 3so16H7WBjAv0IUbNmxwrVq1Ep5Nn033cwQdx5gjd4LcJfgZsSLibfyfWB7/ x7dR0vH7NPXUOV8WyoHc7eHHcZhHTPLzgvlCLhBjFy4XzLM0VGxgAzWoX1/s pSi+iMzkmpZehyAj8RGqDp+aRYdzn/oL4aXMT+JkcNlceMRryiMC9jFIU4ai 4hF8N2H8+Hyxa6A5+JqfmsQjiNGS59GnTx/RGUHwDHh7UfKIpHJjGyf1EUjD I5Lexe/Ezpo1bepOHD+e73dyZslFQCcUNY9I0+ZpxmGa58SVjzoSs0HW0rdw cXwvZ0NtyXXEpGkj8gfJgT6SF/eobCAHlfxJOAE+d9qGWDsx9qC9g52Bzxy/ Kv+HK6DDyE/Gx4Y/Bz88uRFwtN69e0vsjvlBX+IrxEaBR2CPl3QeStp6loVy IB9OnDgh16jPDDlPbgWxC9ZxIL+IITX08xk5bPvfVg4wb4hVwCXIRwqu2WAs MReZX4wxcvz4TmRs584SK0ZH8CFHB/nHXNX9McnJJN5LzjncljVDnfJ0P+NP 4tJeBiC/1d9Lrn9nb1+gk4DwBS8XGLeaS5W2DJIf6uV20PePHiY2Cqfmd8Bv 2C3dY3gE+pk2IIeTPH3aDNuHeUY51L7WPMsJeboHMA+x7/H3ED94bOlSV7du XZFv6B5dA8k8Rr8Wpsw8Z9njj4s9S7sllRuOltRHtKPuH8EeInC1KCS9C7m9 c8cOyTnlOpVN1B/+QF/CaTLt5W31cM5r1G/INl1LGeUHSdPm2KRJ4zDNc+LK rnnu3Edb0HfUPyqnFw4GP7y7WjUZx8SDKhvoR+IR119/vXBabGX6iHwG/A1B 6PrwOJ2rNjVjWfez03bne/qba5L8ENxHv1GWNB/GfdI6i1zqWZxIWw50AXGk Ro0aCe9mvMMl8Oewp0Tbtm0lf3Vp3jyBdwf9bYaKDWwt4gPoLvK+mAPITbgl Ywkb69HFizNcHX/hWD9G8BPA+5GjrJOr7bkGti0yFh3yzKZNrmaNGpKzhz3G ujrWHbA3ImP11KlT4pPERsD2hguoPQa/5Tnvex1NLltfbzvwDOYy8zOpDMh3 9Dt5iOgD7uX5+FPwbbLOC5mOLiCPcUzes9BlYZmC3MHWwc4nB4l4K7qPNRPE AXguMgpdjE4m95uy8z0+Pnwk5O5z7gVrBsmva9y4sawLoL3Zf5z5iZ1b0DLz HW06a+ZMeTb5edybrdz0Z7Y+ov/pR/7lXr5nnWOUjZGmjfB3wbFoi4teryKX yL0i72Cd5x48lzGBvUOfo0NVP/Bv1G+MB/T77NmzI21JygX3ydbmlDtpHKKH sj0H325c2eF+tO+wYcMk751ceMYr/foHf12Q//Ae9o7lPbyjMoJ+hENdd911 4gcl/kNeHzYu8aDSADYPvB2+mebDmE6KRxSmnrq/SNJHbYHiKofBEARyjxxd 9Ae2M3FgfH3IPmLnQd2hchYOiqyFg7Bekbw/xqOuOUQv8Sz2JMGug/OSmyax h4ULZQ09voY+Xn7zjs88nyFGif+c/Hn0MrqGPDxy0vAxYy+nKQOyGpkN/8Bm Z28J7HZ8buz/TV49/hV0GzoX3UZshzaI0kfUn7Xn7NmGTY3Nz9o+3RcCfURs AN+e7CPuuQ36F/2IbuWd6Ad0Evn4+FPr16snv2GfE38kbl7QMsOr8INjJ8At WDOPHEsqd7Y+Ir6JXn3Jv4v1IpSVfovLl0p6F/KMPl7quQV9yRo9xgDchP6E v65etUrakDGB/4LvQNxvcGDsd7ijxoHCwObM1ubkhSSNQz3DLu45SWXHT4Sv Bp4Lb6tx//3Cy4j16HUKctJoo6h94SoDGJPElGr79iIGAbCPt+Tt7xGGnk+n 6xDhlrpHc5o9ykoLudZTQX2x8+ChSR/yS5P2fipoOQyGOMC74aOs8SRv/9jR o7H7U6E3kMO6x1CUb1H3V9TcNL0nl72buZf70DUFKUNRgvqgF4P7NBX0OeSU l1T8MFu5i6KP0r5LoXszFTaHUNdRpumPomrzXJ5Dm8reVrt3S6wJXog/GB8I nBG+d9RzTgVtTj7SmlCMsTKBPQtuv/12sRF0vxiN1WtcMxibID4PJyU3gpg8 fgNkGP71opIHvJf+yLZXU/DD2EjaHzeXegZBnJFcSPyRSR/sqsMJOTYFLYfB EAfGC7KO/HLsJ2Ll5B1gc/3dzw/bj8xgSA9kPjkorGXRPcL1LHZ4FHEd/HfI b+xo4snswVgSa/3KIrAV8Lmx/jC8Rgsgf2g3eCp6mvYj5oc/Su1ufmcvUXyp SfuLpAW+Dfgd63XTfOCM2d6dSz2LE2WlHIaKCbg38WDmKHFj8qGZR/gNC3Mm jsFQmYBdR5yoXdu2sm8mnAF/M/+yZyj+Pvb1JIZFvKR///5iU1fW84zIM2Wt CvYxccog8D3gL2WPCOKbtBF7QhDLD++VqLE/4h1FAWKErLEh1pfmw5qcbPus 5lLP4kRZKYeh4oPxpPubIgNLcj2SwVCeITkhn30mZ8GQ99K0aVNZl8jZutis ei4YZ3qQA8S6nMq47xTANib3nzg9+xjgl0F/k2dE7IKcI3IY8TOwToB26tu3 r8T2dZ2NQvMQy6I/nphHLvWs6OUwGAwGQzrgx8NPHOXPK8t6r6RAzizrje+5 5x5XvXp14QfsuYFPlPXU9913n/AwfDcAu4b9mtF15andcq1nRS+HwWAwGAyl AXJJ2EuK/ECzlw0Gg8FgMOQC1oRzVhf5EeSbBH0S+H3I8SromiODwWAwGAwV H+w7Sh44+92SW0luI3u5sP8Be7YVdn22wWAwGAyGigv8DuznCo/gnCn2BWNt GWsZbQ8lg8FgMBgMaaBn+uCPsLOhDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAaD wWAwGAwGg8FgMFRUkDPJHtnsD/Hdt9/KOVHsM8V+EFFn/rJHBGdicT1rPjlT i+v/b2jfUNZ2cFYa53Jk+3AmB+tFk67j8/fQftz6HsoTvI73cr4A0PNigx9y RNPsycleqLQDdcx2Bkva64oSevbuf/l+oM8MBoPBYChpoIvQeydPnnSPPfaY e3TxYjkTnHOyOf+a8z2D16J/OfOHM9ifeuop97i/Z8P69e7wSy+5y59+mu/s dc4D5SzOdevWyXVPrV0rZ1Pt8B/+fW7rVrfe/8aH/3N2+2b/7i2bN8u1Tyxb lvntmU2b3KqVK+UssLD+R4eePXPGbXr6affY0qVu7Zo1ch7b119/Ldd++cUX btfOnXI/z3z2mWfca6+9FsmRwoCfnDl92s195BFpl8JeV5SgL86fP+8e8e9c 5/vCYDAYDIaSBn6EHTt2uLZt2wovgCO87HX/kMGDXetWrdwhzycU3//pT27X rl3uob593axZs+RsSnwSFy5ckHMj+j30kNyrXAK/BXtpc77l/77pJjds6FA5 w5izLPkXnsJzmjdv7nr16uVGjhjxT57hy8O1Ve680z08YYJwh40bN8o1Y8aM iTy38I+esyxdssT97Kc/lb27ORNeQTleffVV16F9e/eru++WM87TcAjAutbl y5e7mjVrujmzZxf6uqIEPG2t51u1/DtpJ4PBYDAYShqc4Tl0yBA3oH9/4QmK 999/3832On5b3plR/8dzgz0vvOAa1K8vZ6cG/Q6AMys5O7Vlixbu+PHjmf2x iVeg66pWqSK+gDCuXr0q+1ihg4mRAGID+BU4ywr+oMCHgM8i/G6A3wEfyS9/ 8Qs3aeLEa37nDNhx48a5hg0aiK8lF1zwvIezYZP4QdrrihLsIdqlc2fjEQaD wWAoFbz99tuua5cu8oFTqP4n7n769Gm3c8cO+fudd95x3bt3dw+2aSP6PAz0 OPwB23jw4MEZToC/f/369ZE8Ar8CuRH4LF69cCHzfRyPwOanHFE8Auzft8/9 xy9/6aZMnnzNb1euXHETxo93jRo2dC+99JJ8p/kbmg+ieSKaQ6Hvwd8CP4BX 8Tvlww8TLkfa63gv/Irf/+S5W3AfL/IsKAvtRvtorofGcrSM3Mf9+HU4N9R4 hMFgMBhKA+jXiQ8/7O684w43buxY9+EHH2TO8kSX4TtHtx3Yv9/ddOON4ruI 0+PEOfr16+caN2rkjhw+nHlGFI9AH8JbTnjuEUYcj0hCrjwCHU/cZvkTT7iX X35ZOBTXcW73iuXL3amTJ+U6+EE7zw8meF39m/PnpWz4ZPb7NuEZijTXwQFo pz179oivh1wK+Be8At7wxRdfyG/Ed/AJEYPZunWrcA36gbYhLsS9W7dscatX rXJtWrc2HmEwGAyGUgG28a9//WvXonlzd+stt7iWLVu63bt3i977IW/9BVyA XEliBpMnTYp9FjEKOEn1e+91GzdsyNwLj7jj9tvFTif+wXX4IMilnDlz5jXP KQyPoIzkWZBbGfyge+FAQR4Bzpw545o0buymTZ0qf1Nnckbr1K7tFi1aJN/B D/DDoK/Jo5wxY4br2KGDq3H//ZI/GvRbJF1H3uro0aMllgNvOHr0qOvVs6dw DXw4jz/+uHAunkEMp7/nZbQ5vhj6hBzR+fPmuS+//FLySBcuWCD9ZjzCYDAY DKUFuMRbb76ZyW2sVq2a6EDO3ULXocMWzJ/vbrv1Vvk3DujBeXPnuttvuy2j g5VH4Cdo2qSJ5EkOHzbMdevWzdWsUUNs9zAKwyNu+F//y9WtU8eNHz8+32fw oEHCDcI84vXXX3cdO3bM8AgAt0CPB3lEixYthJ9QH/DO22+7bl275ovzpLmO OAR85sUXXxTOwj09uncXbgA0ztTdtw85HfgveBa+EtagUI9Tp05lynr27FnX 2PMg4xEGg8FgKG3AF1izQS4lNm7fvn3de++9J/kD5EHedNNNbqbnF3HARkYf V7vrLrfyySflu7i4Bvrx2LFjbrW3ucMobFyD9SHkDwQ/nFGKfi8ojwjnT/LM Zb4++Bp0nWea64hPECvCt4A/Ad8PvqAZ06fL9e++847wCsoaBOtRljz6qPyG P0cheZaWH2EwGAyGUgD2MPo8uAYS/wM2cyevW/E/aM4g6z2JGYzw+k33dwqD WAU5lvXq1XP7vE4H2fIs4S3kCoRRUvkRoKA8Av8AHIAYzpo8LpTmOtry00uX pKzbt21zW7ZsEd/D9GnT5Po4HiHl91yhT+/e7ptvvsl8bzzCYDAYDKUFbGP8 DeH1F+g+9mwgxsF6UNYMkDdI/mTXrl3dJa8Hw4CTwD9atWzpevToIftQgGw8 Ig6lwSOm5sgjyBOljVjnSl5kmute8HwCv8jDDz8sa2ElnvTWW65nz56JPAJf D2Uk3yK4N5jxCIPBYDCUFuALrFOYPn26+N8V6L5XXnlF8gnIZyA/kNgGMQ/2 X1gd2sOB6/HTE/uo7e9h70ldp8g6BO6Dk5BrmAa///3vRYffe889kt+ZBvCY F154QXwmEydOvGbPy8uXL7sxo0e7Br785CYodP+F8ePGZXwz8IxmTZu6+fPn y3N0HQa+GQVrWvAlwLPIYwBJ18HZyD9t3qyZ5LbS/uR/dsrjMdThbc8z8E+M GD48Xx1Y+0leav169WSdBj4hfmd/LfYQGxuzP5fBYDAYDMUJchTYt5K9pFlz SOye+DvrDckZRDcr0JesryBvgr0o8a9zPWswdu7cKXY1MXzlJNjb+AHmzp3r brn5ZtmnCl9DNn2HfmSPiFEjR0pchXwM/CHZ7uE95HjCY9jPkn01KZvGX+AG 7B9NviPxBdZKwm/Qw+SSooPZ6xJOxXXz5s1ztR94QPwG7G8B18DHgj+D58KZ +A5etHvXrkw5kq7DNwPHIr+UvErWdcIJ4GYDBwyQslCGVr4/qAN8SutNWc+f Oyd+EngGPI/r4SjUiXgHf+v+HwaDwWAwlARYp4FPnD0gWaNBDB87nDwI9ocM 7x+NXwJugW2PzwAbmT0SuB9uEcydgGOwDwI6kXhC7169ZM9r3aMqCuxnTRnQ lcRRBg0c6F46dMj9wevUOFAm9oEYkZdH2dPrcvSznq/xed6emcQc8AVQdtY5 qP8BnUy8Bh8EeRKUedq0adIOb7zxhnCf5597TtazLM47fwS/Aj6FHwJnk6W5 Du5AOdkLHL5B3gncC35APATO0aZNG+EF7AEWzIXABwTvg6+xPpfncA9rbWd5 fgfPiMtdMRgMBoOhOECOBD5zgJ4iDo8uT9JH6EX8DvgbsNnLO2gH+Ai+DWz6 KP+H7H+ZdzZpNiRdR9vim1Buoe9O60uQMz49Z+E5vCvtWSEGg8FgMBgMBoPB YDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAaDwWAwGAwGg8FgMBgMBoPBYDAY DAaDwWAwGAwGg8FgMBgMBoPBwD6o7I/KeS7sOc9ep5wP938De7ZXFFBX9s/9 L1/XynSWTFmoN+9lXAXPaMwVnFPA/Zwd9N1338leyj9UwHFqMBgM5QHI5P/5 n/9xH3zwgZyFw7m6nM+yYf16d/ill9zlTz8tlMwvi4Ajbdm82S1etCjfGcUV HaVZ7x88f0Dff/D++27fvn1yRnFBAA+B57544ICcbzx61Ci3zo9Zzhdkf3+D wWAwlCy+9/qEc94e6tvXzZo1y3344Yfik+D8euQ05+O9fORIueYSnHMTLP+3 33zjnlyxQs7T+8///M9SLFluCNcjV8TVu7DPTQPOCTpx/LiMM85B5hzDggD/ A7yBM5E5f7FF8+burqpV3YD+/eUsaYPBYDCUHP6P1x17XnjBNahfX87bDeuS zz//3E2ZMsW1bNHCHfc6oDzGALBR8bVwXm4Q+MHLU33i6pErwvUuqucmQc8F 3Pb88+6BWrUKxCMoN36MdevWZc4v/OKLL9z0adPc/ffd59auWVPUxTaUAoJn XDJe9dzL8vJ8g6Ey4Z133nHdu3d3D7Zp41577bVrfifmAX+oVbOmGzx4sPiT 9XvOh8U3/oc//EH81eF5GHeNnGPr/8/ZtJJ/kXfdn//8Z/kol2F+8zs5G3oP fhL+5p4g+B29gp7ifegs/f6TTz5xc2bPdpMnTco8n/v1vNzwmbz8xv1abvIJ gtdQLuJAvI/68G9UuXg+daRMvFfLFIe4OmSrRxSyvTdc72zP1RwE6saHvkj7 njjwTGJnBeUR9MVbb73lPv7443zfw4Hq16vnZs+alfMzDWUHjDdsF2TRe++9 J2OKeNWZM2fc+++/X2hdX9zPNxgqG9CHB/bvdzfdeKMbOmRIrF4iztGvXz/X uFEjd+TwYbmPWMjFixfdjh073OrVq93mzZvdRx99lIlPZ7sGLnLo4EG3/Ikn 3Msvvyxz98qVK+55b6euWL7cnTp5UnTcVf/drp073XPPPec+8mXYumWLmzNn jtu6dav45FVnw0Eo4549e8TWffbZZ4X7qE5etXKlq1qliuvSpYvb53XY22+/ Ld8jO3b65wd94ZSF3D1+2+Lft379erdt2zb3+uuvy/OoH3KI7ygPMmj3rl1u 3rx5Us8/e70KaEvew3XP+/JTLuJEcchWBxBVD+RgGNneS93C9Y57LvWUdjh9 WvJlli1bJr/BqwpSP0VheUTQjgyCcnZo396tWLEi52caygaQGcyBAQMGuJ// /Ocyp5AfEyZMcDfffLNr166djD/GALw11/yetM9n7MOP8XN9/fXX1/Bng8Hw L2CT4h/+5S9+IbZoHK5eveomPvywq37vvW7jhg0Sn4YTrHzySfn/u+++K3Nz 4MCBMu9A0jXosiaNG0ucHjDHyemsU7u2W7Rokfvmm2/ckiVLXBWv37jusaVL 3by5c13PHj2kHNOnTxf/BODZo0ePdk94XoKOOXr0qOvVs6fb7zkS9gbcp1XL lm7MmDHuyy+/FB5Anl+b1q1d2wcfdG+88UamrryXMiNbsE9+78u+atUqkTHw BDjQpk2bxD9DXH7jxo2Sb0BsvlHDhsJ7ADbzggULxO6BC7zwwgtZdVy2OoCo eiBLw8j2Xmz5cL2jnqsydLPnMvAD/BXkZjZt0sQ9+uijck+u9VMUlkdEgfbi /R07dHCnPZ8wlF/Ql88884yrXr26W+5tipe8TICvMjfatm0r9gMf+D1zpaif j2xi7DPHh3jbaujQoRk5YjAYrgX6fcH8+e62W2+Vf+OA7kSH337bbW6u//fg iy+6MX7eYYsD+Aj682HPNX73u9/JXE26Bvu+Y8eOGR4B4BboOHgEQFd18tf0 7dNH9Du4fPmy6LtmTZuKvQ7OnTsn/pQX/TvhI9jFPbp3d/O9vQFeffVVsVVn zJiReRd++qWemwR5BOXmGVxL3qkCu338uHFSFriF2DSeN/Tu1ct9/dVXmbLD Kx555BH5m7zUPr17u/O+bMgguEu29QlJdYirRxhJ742qd/i5+Ebwi1Bn7qf/ KR/5tt26dRN/Ra71UxQHj4D7PLFsmVviOQ5lN5RfMM+nTZvm7rnnHvFPfuXn F7FXcmpHjBghvgHG7bBhw0THF/Xz4eZweGwgZBR55i1atJD/GwyGa4HdCSe/ 6aab3Mwsugk5jb6vdtddbsb06W6ht0OHDx+ez7+MfvghL7YIP0m6Jg2PwE7o 7vUWtoICnya2J/4AbBKAHsMfiY7Enti9e7fodMoKovQvPlF0T1Cf4sdftHCh XMu7FTwfe7yW133EWIjNDxo0yA32H/V5vnnxouvSubPwJAAH6tmzp+vWtavo XJ5NPkEckuoQV48wkt4bVe/wc+EN+B24hmtVR0+ZPNnN9Tzpt7/9bc71UxQ1 j6D9Dx065B5dvDjDNQ3lF4ytDh06uGbNmsm4BMeOHXPN/VxYu3at/E0sDi5c EB6R9HzmIHaO7kVy6tQp17dv34xf0GAw5AdxQOxu4hpw8Tg9gN4kx7JevXoy f8eNHSu+hricJHwQSdcUlEcA/BDEOtSPjg366aVLbv++fW77tm2S18B95PCD tDzi86tX3aSJE8U/Hs49OHjwoLuvenWJeUTyiDfflPyChydMkL/xv6Avm3t5 VbNGDXn3JV/GuPZIqkNcPcJIem8aHkH/UQ9iXXF7O+VaP0VR8gg4KvFt9jkh f8ZQvsHYOHz4sLv77rvdRD8P6V9kEjGG+vXri0+MawrKI9I+P3g9+bvjxo2T uKPBYIjGb86fl/zJrt6uRA+EgR5hfhE/x/dHfuSE8eMldo+fQqFrLsi/I2cy 6RrlEVMLwCM0nr9zxw4pHzYGfgDsCbiR2sqqg19TPRmw7aP0qcZ5iJmcyIuZ aLmpN/kP5Him4RHIp7/+5S/iM4VTwUHgauRbRLVxUh3i6hFG0nuj6h1+rsaO +vTpk1mfo6DvyLPIpX5BFBWP0HUm2ImUQQGPSeMXMZQ9MLbWrFnjanheeuLE CfmOXIjJkyeLrNCcoDCP4D7iE/ijonJwc32+grwfxir5UbZXqsEQD2Ib5OM3 bNBA1lQE12wg8/GzE/uoXbu2e8bzdvQQfgDyIbmPOY1tyhxGl2LHp7lG9G7n zhKDh1vwIecJHT7f63LerTxi5MiRmXUg+P+JLZBvSZ4C6y/J/cQuxnbQ/QU6 5XEU5j96Eh8D8oLfZd2Cr9eyxx+X9a4a++TZcJN6detK+VUm8T38gfKi71lz Qs4oPIL3A+zizp06CX/ineg41p1oG/M8dDf5BGGkqQPtIdwrVI989lOK99I3 4XqHnwt3IMe1rm8HctLgDboO9rznnceOHs2pfkFQXnIv4BGs9QiD9zBO4HRx e1PyPb5n1om88sor8n5dfwoXpn8M5Q/YH8x1+LiuxUBW9OrVy/Xu3VvGKXIj zCOYe9zDnAyvBy7I8wFznxxiciii8pkNBkN+kEc4c+ZMiQPi90OOEyckd471 gdjFxMeZe+gB/ODojDp16kheIToWvYMvHj6Q5hp852O9zYsdzNpP9BPrsNjn ELsc3QWPIP5OviF+a2LwF70NzXX4snkP/AR+g2+dnETyIFmPCS8a6OUKdeAe cgTJ1+R31p/8zsubWb7OjRs3lvi62rDoIdZq9O/XT+6DR+HTJF+APRS5jrp1 8pwB2UMuA/VBn8GByPFGp2HvsK8X9+s6iVFehkXpuDR1gN/xfbAe2GBB2xu+ ke296F/6Olzv8HPJV3/FP4f1GVzHehTGBW1OTgr9kEv9FLyf62nHe++9V+y8 v+XtwaHAt0Ab0geaoxsE1xL/gWsyLhcvXvzPz6JFUi/KdKGA+20bSheMPWII 2C0K+Op4z83J74VjR8U1mI+tWrUS3oucKezz4RDIAf5WHwfzz3wSBkN2oPvI XySngbjCU2vXikwmXwAdEtRX2IwnvS36kNc92O7YtmtWr863njvpGtW9xFPQ v+RJ4Ocmlxodgc9deQTxBNZ9onfYx2CHvy64Dgv5gE+dXCn8AeR8wHuIkeDH /NLrRfIk27drJ3EH/B7sm0FsAh6DXEF3AuTIZ5cvu6We83At+zhsevpp2TuB MtNO5C9gv7NegXwGrmf9LLEW1nGgg9GzcADuJ/+bf8nnCu+flbYOcA3eHaxH eH0Ezz7pZV/ce7k/qt5Rz8VHwjpc5Cv7O8EJ8TngJ0h6Txzoe9qeOAi+F3xR 8EddvwuI57AOpr0vH/ushoGvmfW35KAyLoIfOA/ridRHZKgYgH/qfEeXE3/A 7kG2EFfkO7g2voPjgXhkQZ4PZ8BuYD039g3+irNnz4oss30kDIZ0YE4i7/EB YmdmA9yCa3WvpIJcw/xFj+m+tMH4ZjA/Qq+Li3/qHo1qM+j1auvyPd/lsi4Q G4Rn/JCQOxgF9On/5+uETqP+aZ6RVIc09SjIe7M9lzJF7VVZ0PckgefiZ4G3 nT1zpkieaag4YBzCPdmHBh6BjGDOwH3xnRb2jBj8sPDratWquapVq8qnUaNG Et8zGAzlD2//9rfijxg1alRWO9dQcQBvId7NPhq2F4QhDeCxxCdsryiDwRAE /gn2OibuSeye3L9sudiGigH8L8SJjEMYDAaDoTDAv0iMkrwK1o8SE9c9tw0G g8FgMBiyAX/E//ztbxL75EOOk/kjDAaDwWAwGAwGg8FgMBgMBoPBYDAYDAaD wWAwGAwGg8FgMJQU2N+IHEb2GUr6/L2Y9gjUfWj1/J2yvAacvZrY54ZyltU9 98lPZc8v9q7+9ptvct7bsTz1h6FiArnEPGPsMv7C+1H/v3n7n/HhurhzWAwG Q/GDPRnYe5j9qjc/+6zsjcx+2JwHuX7dOvfc1q1y7sOqlSvlLIbi2AtK9rL/ 5BN538IFC+QcrLIKOBd7Wsx95BHZB7qsAXl65bPP3IsHDrjVq1bJOSUHX3wx p34rT/1hqJhgDxH2rGRv+CNHjggnVsApkFvsxc5a8FOnTsle7QaDoXSAjhg6 ZIgbOWKEnG3BvBw2dKircuedcs4C3IE9HDgPj3Ok06y71DNt0gLbmb3rOauB 8ynOnT1bmCoVK5BX7Jlbs2ZNN2f27NIuzjXg3IG1a9YIx+H/nIvGmWa57OlU 3P2R6/gwVD7gZzh48KCcMXzrrbfK2X4KPSeGc3buvvtut2HDhqz78pd1UB/W tAfPmDEYyhPYm54zHOH3AD8252FVr15d+IOC83PXhM4UjwL28AcffCDn5OUC 5hBnlpd1HgE4S5LzrMoij6DdObOTc9VA+LyStCiu/ijo+DBUPnAuLfvhX3fd dXIeOL5ABT6JvXv3umHDhpVrDgHYB56zQfC9GAzlEZyHxFkGijgegR3Oec7w ZuKV7GfPfpOc46V6Ch3BHvfo18mTJkl8XXmHxux5PveGY+78hh2dpLeQH9gq f807a5p/OYcaGQOv5z3oQOwVysp32OKa46Hl4Tn8zv0aa6Vs/M1v+mzqyPOC 8dkLFy4Ij5g9a5Y8m/soQ5hj8W6+4zc+4bMCtQyUXfMReFdcDILvs7U9f2O3 ce7lC7t356tv3PPiyhfXH0l10mtoFy0ndaI948ZHtnbIVue0Y0KBvGZcaG6L 5X2UbaBbOZe2TZs27v7775ezgRX0Iz43zosvaQS5OWNPzxcsKJgDnIHLmb5l oTwGQ2ERxyMAY5M45ZkzZ0RfrV+/3m3bts29/vrrGY5AHkXVKlVcly5d5LxG ztxFp3z44Yduz549btvzz8v852zfoB2RhkcwPzgbmHdu9e//9NNP3f/P3ntG aVWled9f5/N8mLWc7lFHFyJIUEDJOVTR5FDEAgHJORZSJJEgItASBRoQgUKS xCYJj2QMoI2NkpF2VBrbXt1Dd8/M6mce3/3u3zW17zl1POc+5654V3H91zqL 4twn7L3P3vv6X2Hva6fl8Njt8cf82c4tyI+DBw6YXy5dKjl/KTN5S8kn/OYv f2lOfvCBPIf9tYkLIR7k+vXrci12Uup1+/ZtuWfPnj3mtQULzHrbDrzXAR7R yfKIieTXPndO2ov86nv37pX3u7JKW506Zd566y15Nu2BLASMe/J10yb4k8gZ vmzZMrN58+ZA+Ran7WnTcePGmdq1apnc3FzR12j/sLZMVr6g7xF1D2Ae+5OV +XBTvgk2jU22ja9evSpc1N8/yBEe1g5wi2R1jtsnAHM1tjeu27pli/RDvqMi PUF/x6ZGP95iv9cTTzwhfzt5SX+i/zFuSwv0IfoatlnGFeOU/kb/pN8WVnYX lkeUVHkUiqIiGY+4d++eWW7neOQn/fR75MKKFSJTmbPRIQ/bsY/sIZYC/zx6 3+effy55v5da2c48QHwU+TKQuw5xeAQ66YYNG0z9evVMZkaGlG/Zm2+aQQMH ig6+Y/t2uY5x1KplSzPt5Zfl/8i2Q3acNmrY0CywvABdBpnVskUL07pVK7Pc yjZ8NujJzZs1MyOGDzfr16+XPMHEF2S0aWMWLlyY0G2RP+T8aN+uncRbTp8+ 3XTt0sXUtTrT4jfekPGNbCRuFXmFDg5f4V08h/GOH2nx4sUiU3kO7x84YIDo 6UExY1FtT/thW0IGN27UKBEfEbSmhHpElc//PeLcAyg7vIGy8jffHps0OZ7h Z/7+ce3atcB2mGLbAbmfrM4uH32cPgFfmTdvnsy51G2X5ZBv2usU6Qm4Kdyf b0sMF7n6WrduLZwfEFvJuEuWb4dxyJjAPxLnYIzRp4LAHIIuRF9+9NFHhafC lemblSpVkj7p5dOpoDA8oiTLo1AUFWE8AvlPHucunTsX8OMx/iaMH2+6de0q c/2HH34o1zDGHc6ePSuxnNxP/0cO9+7Vy8y1fd8hrl9Dxo6VEdl9+5pv7RwB 4A3IkFesTAfoq11teRyPcNcgp+AR4O5XX0kcaVb37uaa1W0A/w628g5O8Fsr /wD8fszo0RJ76mQl5c/MzJTYVOezvWxlHvnN4Re8C/2adkFfgDPQBuQs7dmz Z8JGgJzsYfXyXvYc7YjdxusDTrXtmQOZe5GfzEth4D1R5fN/jzj3UE7Whoy1 nJF2A9QHWc66EWRAUP8Iage4Xpw6x+0TRw4fNv2ys805W2a+I3XAbq5IT8A/ 4ZeMZXxZ2B6eeuopsW/Rz9FBsE8kW4dEv+AaZG2cAz4MVw4D/RvdgrmRWGvG GH0XHaljx44yJrABwN3ht0GgvM5v6g7GCDGlcGTveQ7/etdUy4O9jrFEveBc QX5IhaK4EcYjsC8vmD9f5nX6qgNzMnpp/fr1xf4YJCe4Bm6MzZ++vHPnTpnj p9sx7hCXR6C/4jMdYg83Ji5ZHg4fQFaBODwCOTJl8uT/kT35Og1jLScnx/Tp 3Tsxn6AzT5s2TdarfJMvo1x8hDfOknmDuQ6bBD5b5qSOHTrI+lmO1+3/p9pn Y79w6yg/v3xZ+BR8JBnitn1cHsH8ElU+//eIcw/2B9aJjhgxokAMg8yd+TbW oP4R1A5x6xy3T2CP6NOnj3C9I/nrCMN0T0XZgv5y7NgxGXduDQP2h9q1awtn hR9g8+IoTWCvoEy1atWSccZ8QMxYbztfjLR9F7n/3Xffif8N22sQiOOBYxNr 7I5Lly6JLYIx4T3Pcffu3dC1VlHlgUMwj2HTGWr1uGFWF4J/aVyQoqQRxiN+ Z/szcld0dZ/PHS79vL0eG3SQnGAc3Lp50+zds8dsy8sTXze6Z64dAw5F4hF2 HOJvx74AisIjXp46tQCPYGzCd5BzxEyAIB7BHAI/qmPnOvRlyoKPIpk+EZdH xG37uDyCeSyqfP7vEecerhk/bpzYI8J8s3F5RNw6gzh9Ap2PeBF8VPXq1pX3 37R9Un3I6Qfs/NigZs+enTjHOJxs+8Nzzz0nNiY4u5dfBsG7l1WcI2i/Ky/g yl1sf2xj+xD9GMB3MqxOtHr1annXJ598ImtIkNlBoK/OnTtX/HruQOZ3sPy8 WbNmBc5z4KdElylMebDj4EOGbzEnvmznQ+yo/K1QlCSSrdeYZ/t/m9atzfH3 30+cR3cgrhHZRWzcR05O5NsaGJf0d/RC+jYc2emGJc0jXi5FHiHtcPCgaWvH 6aLXX5c5oF+/fon1tA7MNYxvEJdHxG37uDyCOIWo8vm/R5x7aJ+JEyZI7It3 7nPrN7jO3z/C2iFunUGcPkHb/MXqtuhrcB14CPP397p/UdoB3xU2fq8/i3kE XRrff82aNYVjRK1BZy7D98Y+VnEO5o0gvyKg3xH3yX4V8BnsbfQpdP2mTZvK e7iGdy6y82cYjwhCYeIj4pQHmxu+RMeNsOn079+/QFyaQlESEHuylbXE/K9Z syZxHq6+/d13TZPGjSU+zdmtOc98jg0ZviAy3HJk/APoA9gl2Z8CPZA9AziH X7pbvpynjzMm3H4FyGFkfhiI08aXicxw+z0TX9S9WzeRYUBkiC0PdgHkFwfj FJmELsD7sBcy/rz+CrjDVMsjsAvyO+A3fKy9fDyiU/66TwfkF3YW/PTE8sHF Gtu2wn+JjHVrF9mjz8lFZBp2mZEjRiT188Zte+YRbP3EiqKzhwEfU1T5/N8j zj38TfmIZ2U9B3Mq8zL2V74JdgV//+D4jS27vx3i1jlOn6CPERfKWh2Av5hn 4qMhXkKRPuD709+YG7Dre8F3Rv945JFHxMcWBcYz4wH5HOdgfVbYvpjIeq6p W7euOX78uJzDh0E/RmdxMc2lxSPilseBdmX+HW/nxM/zY78UipIAcgjZNnrU KPN05cpmxvTp0hfdHI4dmHhg4ukvfvKJxDvQJxnTa6zcYL4m9o3YO/ZC4u/r Vldkf2VsycRVco71ecg69kvELoCs4V/slZxnPWCQDw9bBva7blY+ZGdnix0B jsC6cjgCPkDkGz6UcVZ3Ru9lXRhyjnjmhg0aiF0EeYdMI3YSWUOZeA7z1ihb 9872PuQeZSD2cmz+s5BblIHf4BrIKGQk7cA51mqw5tDNhaxlaNmypawfQHeA T+E75XraFP2AOHTaC/6WbL+oqLbnXp6BfCRGA1sSMjXIThtVPuZS//dg3oqq E8/l+yCfGzVqJPcj81nzAseijf39A90TW2xQO8Tpb3H6BLyBuZa1uTyDPoLM oJ9fzY+xVaQH4K/Y8vmecHmv34k+yN6VcFns9aUJdAjmBmxcLoaSOQQ9hH4H P2YOKC0eEbc8DtgX8eth50nmu1Eoigp0b9bdoRuyJpK1C78+eND8IX9ve+TE ndu3xW6PvZi1hRvWrxc542KBmLOJg8PuzzXYHpAX2JDx2yF7sVcSoyfr/OzY Ye7nPbwPGUR8HTLED1mvmZcn+iyx98RbUB7sJtjfsQXAuRmXyJEePXqILCFO gnWexCRhj0BuMaaQZdgZ8AUwLvft22de7N9f1g6w7pMy4KtAjhGfh5+ReYKD PQjgIcRU0g6/svMb73ZjFBnOWlPiwpo2aSL1QsY7fQf+Qf4L9tihLujenAtD VNs7XyhzS1vbFtSZeSTM9pusfA/ss4K+R1SdANyLPbVftJwAWwLrV+hTbq7z 9w/WgIS1Q9z+FtUnTlgOAY+At/IM2ol/6QclkS9GUXjg84Sjt7NzA2PW+QAd iD8ghjHZes+SAHMYujzrIhywcU2w8xnjgbFfmn6NuOUB8HJspMxz6ZpbUPFw gr7PHP5jQJwashR54o0zxtaB3cHJWX7n/pKMc3PvcPu7FWZ/6GSQvTPzYwnC QL2Le+/EZG2fKgpTvjj3uL0dgtomqH9Eoah1Zk79f/n7llKu4mg7RemDfkDf Sxf+xxzgHQeF4RHcj95THOtP/OWRnHtWB4BXwM9dbhu1SSgUCoVCkV5ANhOX MGPGDLHHuX3549yHPw8fX3ECzoAfEB8n/l38HmfOnBF7oe4joVAoFApFegE7 ALFY7N0Kj2BdanHbQFMBsdH4PVjfUr16dTlatGghcdIKhUKhUCgUCoVCoVAo FAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoWi4oN9H9l3 kjwE5HVkfzbZT6UC7n9GXdl394+2rmWVP5p9alh3ThnYrzFOudizjn0i2bvm 9/fuyR6NQecUiooCt0+j5nlXKNIXyDNkD7mqyD1BvkbyTpGHiZwKt2/diszT W94ARyLXw2sLFiTyP5Q2aHP2riGnFbmnosrFfPrVnTtm/759kpeCvGN78nNK eM8d2L8/bfYOViiKAvox+W/IQeHNR69QKNILf7LyivxZ5KmaOXOm+fLLL8Um QY5scviSi/HI4cPlmku4veUd0NvJW0lOK3LulgXYc2716tWmfr16kosqqlzM o6tXrZI8U/xNLk1yWnK99xz5TVPJX6FQpCuwh7K3c40aNSRHF1xaoVCkF/7L ytbdu3aZZk2bSm5lP1cgh/TUqVNN28xM8/7775dL2yJzD7YW8tV4wd72ZV0f 8nJmde+e4BEgrFyUnzyl5OwGXMPe+f5zZbkfr0JRXMAWQV4IbGz169eX/PLF nYdCoVAUHZcvX5b82eR4Jr+sH4xl+AM685AhQyRuwp1H58X2jl794MGDn8i+ sGskV6b9m5gAl8+G68jlx+G4DPKU34nZcPdgJ+H/fru9ixHAL8D7XN47zpNT d/asWSZnypTE87nf5SH1y10Xt+DKTbyC9xrKhU+C91Ef/g0rV1B7ujahrGfP njVZWVkJHhFULupAGd555x3Tonlzs2vnTrmXsnnPedvOPYv/UzYOb34eb9vy Hu6lfbkn6r64dY/qI8neo1DQH+DO69evF7tdlSpVJGeE2iQUivQBMmHf3r3m ySeeMMOGDg31W+DnGDBggGnZooU5bPVe7sMXcvHiRfPuu++alStXSt7bq1ev JsZ4smvgIgcPHDC/XLpU9GlkCz7QrVu3mjftPHHygw9Ett2153Zs3262bNli rtoybLYyc/bs2Wbz5s1i83dyC1lFGXfv3m3y7DOw8cN9HK9YsXy5qV6tmsjr Pe+9Jzl0OH/69Gmz3T7fq+NQFuIV+Q0ZvXbtWpOXl2c+/vhjeR71w0bDOcpz 69Yts3PHDvElUM8/58dLhrU37z1//ryUk/uJaWjfrp3wCN4dVC7OUZ9x48aZ 2rVqmdzcXGnLNWvWFDhHbAv6G6CcUo9TpyTeZcmSJVJ35Dlt+/XXX0t7bdu2 zVy5csUsW7ZM2hWOEHZfKnWP6iPJyqdQMLbpl26sf/rpp2KPiGOT8Nrk6If0 tbKwO6ZLOfxI13IpyifQIZFFjz/2mOjqYbh7966ZPGmSqVO7tvnVunXm/v37 IhOWW9nD3+SnHTRokOS6+/bbb+WeqGuQla1atpQ4AEB/JqazUcOGZsGCBebe vXvi669m5T/XvbFokXl1zhzTp3dvKQdyE/0W8OwxY8aI/5TxcfToUdO3Tx+z 13Ik7Apwn1+0bWvGjh0rMQTIQuITkd8dO3Qwn3zySaKuvJcyT7RynXnse1v2 FVbWd+rUSeQhHGjDhg1in8nMyBDfLfEJgwYOFLsAvCcM6Nxvb9xo5lq5Szlo h/nz5pnKTz0lPAKbQ1C5/m550jfffCOyvnGjRsKTbt++LdzJe45nYldgDoYn bLLn4CvYY4jdbN2qlVm4cKF8z8WLFwu34l2rrIwfaHnilMmT5Z1h9zGfx617 su9PXZKVz9mSFA8vnC1ie36fYq5atWqV2CTetH0uSO6hBzG2savCp+lHcF3m GsZyacnKdClHeSmXonyD+X3e3Lnm6cqV5d8wIDuR4VWeftrMsf+yHmCsldv0 QcAYR4bgx7x+/brI8qhr0O+7du2a4BGA/oxcg0cAdJBu9hr8/8h3gPyED7Rp 3Vp0dIBvAHvKfvtO+Ajxob179RJ5DT788EPTpXNnM3369MS7kOmLLDfxymvK zTO4lrhTB/SfCePHS1kYb8hvZGd2377mWysTXdmRray9CAJj9JjlN0MGDzYn T55MnD9z5oxpaXmS82sElQvg68Beg7wmdj3sHMA+g62BMjNv8P1oI+Jle/bs KXMINpkeWVmml/0/9eMe7B5R98Wpe9T3h1NEvUfx8MJvi3Aglqit1Qfa2TkC +6UXjHvpm5arPvroo2IjwxaGPlCpUiXRA8JsXchXuC3jIM7BXMTYC0JRylGS SNdyKco/iE/A3/jkk0+aGR4Z6wd6LvK+Zo0aZnpurujQI0aMKBAzwNj/MZ/P wk+ironDI5B1yDlsDQ7I4127dolOjM8BwKsZA8hgdPydO3eKXKOsIIhH4LNf umRJAXmNnX3B/PlyLe924Pnoy8R64WO5du2aGWz5AJzA+fQv2TEp8ZJWTgbh B1u+162uDb/BHuAgcZae+IigcoFUeARyGb2eZ/AsDt49NSfHzLGy/rPPPjOf X74sZRk1cmRK98Wpe9T3j/MexcMLvy3CIcomQV/buHGjqVOnjsxrjAnGMfNH x44dE7FdfiBfsW8iY+Mc9F3saWGIUw58Ccy/PIc5Kyo2iLFDfaMO+EJYjFac cvEMbJpltRZeUf5AX0bvxq8x0sqTMI6N7CDGskmTJqIrjx83TnTNMDsYOmjU NYXlEQA7BL4O5hKALn3r5k2zd88esy0vT+IauC932jT5PS6P+J2V79j2u3bp 8hOd+MCBA+Z5O/6w0wfKUh8f8AP9Ce7fLzs7YVsJuq84eATtz/PwVf0YsodY EI+Ic1+cukd9/zjvUTycQAaytgq+7nykXiSzSTCuptkxX6tWLRkX2BiII+/d u7fMb6XV16LKwbwLf8BHyLrtYcOGJXywQWAMoSfRLlEHtt4wu0JUuXgP9h/0 M3zECkVcnD93TuIne/ToYW5aWewHYw+bM/EF9DfiIydOmCDxB959YVxsPjZC kZkR1zge8XIheISLd9j+7rtSPvRXdGFiuhmj+EP62Hc7HvGR4xH59gkQJK+d nwefyfF8n4krN/VGXmNrLQyPoB2oKxwFu75DSfAI5/vp16/fT3Qw2p44jCAe Eee+OHWP+v7YrKPeo3g4QZ/64IMPJBYpCNgkiNmtWrWqxAZ5eSrzQBc7vtq0 aSO6Azh27JjJyMiQuSEMPIN+R4xxnAN5n4yTRJWD/k0MF/FDzIPMC5mZmfJ3 EIgDQ49hzEQd8AS3BjzVctEGzDnDhw8XbqNQxAW2NeLlmzdrJuPTv24QXwE2 sIYNG5qNlj8j57ADEA/JffjUGdtwXeQJenyca9y+CfjIkS0cyEJk+Fwry3m3 4xGjRo1KrANhDKOrEG+JPZJxTexnhh0b2EKZE1gP0S2fozDe4RHI75ycnIT9 j32nlyxeLOtd3fjl2XCTJo0bS/mdTZ7z8AfKy1hkzQH2TWSp24MaX2P3bt1E fgaBueAtO1abNmkiax3gANSR8YxNcZydA3gfbeUvF+B66s13Yk4JOwfQR4hL bWzrgR2TecutY2X/TDiSrPe1bTtyxIiEHTTOfXHqHvX9kRNR71E8fIiyRTjQ 35C77e0YcT5C7kV+Pvvss2by5Mkylhgf6PxNmzYVXSjM3u/WXx8+fDjWwbik P4fVIaoc+E+xGzguQrxU//79xSZRUojbPrQFNmflEYpUQezQjBkzpC/T15jv kSnEwOGjRLfHf808n5B9Vl9u1KiRxNYhY1lbgT8BPhDnGmzbyE7sBKz9RH4Q +9OwQQOxLSBb4BE9e/QQvZl1n4y/i5Yvcx17dvMexjP8pl7duhJXKfFZ9h3I 1pesvKMO3EMMH/Ga/M7cc93q1TNtnYlxPHjwYMKng00G/wPrF7gPHoX9AJ8o e1dzHXXrZuVmdna2zHfU58SJE8KBsFNS9qC9FM7ZsYq9BfnN9bQB7cH6E/wd zC28318utxYV2Vz3hRdknQS8BF3eew657vyj2HZY/8BzWFPBd6XNsFliu2Tu Yg0d7cKzmVei7uN9ceue7PvDVZO9hzZXPHzAFoF+zBoy+lHYQb9jPBIfuHz5 8oQ9gdiJunYeOH78uDyPfo7ugN3TrWUKAj4GuAv3xzlYU4XtMgiploOxgv4z 3upTXjtlcSNuuZRHKIoC7BLEL+LTxq+A7sz+lsQLMMd7YyfQHdEpX7QyCN0d 3Zm1g97YnKhrnPzBn4IMIk6CvQywy2GPwL7meAR2e/RX1l+yz8C79jqvLxFu gH8P+xw6MTEf8B5Z02jHzr/ZeYI4yc6dOontHbsH+2Zgn4fHYG9xcVOMa/JV LLIyj2tZT7lh/XrZ24Ay007EYGDfQPbvzc9vwdyHr4W1DM4u4gdjmXkSXoaP lzKzPxZrauEO8Aa+gb9czg6KXYb7aCvalrUl3nPo+s6eBKdgHS3rH7CBINPh HMx/8ETZt8J+E+qADcbFbCS7L5W6R33/ZO9RPJzARoYOwcE4T3Zge3/kkUdM B9tv0BXwpTEW8K+5Pobds2/fvsJ5sSEwPkoaqZaDPWnY94W5rSTjN+KWS3mE ojhAX6af0e+i/NRwC65lLBT2GuQN8sntheKN7/fGR7jrwvZ8dntAurHornfy nPOcSyXvBDKZZ/wYEitaWEiOTzteKTP1LslcGLwDPSPVPRkKe1/Qc5J9/+J6 j6L8A72iQYMGpnr16rEPfILoBegS6PRwbwf2JZlg9Qq4Kvy2NHLXpVIO5jL2 ciDGKcxWUtrlUh6hqGj4zWefiT1i9OjRmr9SoVCkDJdzvKzhLwccAh8m8htb oMsjWNrrl/zlUh6hqEigf7NnsvPh45vX/FMKhaK8g3mMWAhimogNw7/AfnT4 AcsyxwwchjgJYuXwR7rcRwpFeQVxnowz/OqsH2QdWLIYboVCoSgPYG7Dv1Cz Zs2Ef6ZFixaydqksgV2CeHf2rodH4FdW3U1RnoE94m9//avEPHDAjbVPKxQK hUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKh qKhgbeVfHjyQPVk5yHmQbN8Ruf4vfylwfWnvv1YYsDc2e3yT4zMo70V5fVcY +Iay97YtA/t6R5XLfVfydf3+3r1EHs+w8wqFQqFQAPIqkqOZPFTkwXpv9+6k uTLIh0NuzaVLlsg9H164UKK5IYoL7PVKnq7XFiwokEusvL8rDMh79pMhzyY5 SpOVC67w1Z07Zv++fZK7ixxJB/bvl706gs7r/naK0obbu7mseLlCoQgHtgT2 dicH78/++Z8lj/P7llcEgXFMPs6nKlUyNapXF3kUlcerrOD2qndAlyY3NTkx yZVbXt8VF+yXt3r1alO/Xj3JWZqsXOyDu3rVKslryt/k9iYvOznNg86XB96o qDiAt5IzkFxc9EOFQpGeYIxWfuop80zVqiZ32rTAvDbkhnvZyqC6L7wgeaCx XaQj0F2++OILyX/jBZypuPWZ0nxXqiAHcFb37gkeAYLKRdn79+snueEBv5OD M+i87ieqKG2wjy3749eoUcMsXbpUxpxCoUg//J8TJySPRdvMTNO+XTvxV3jB 2H3/2DEzfNgwyWHftEkTs3fv3p9cg08E+zl2cz8XQa9Al+V39OUHDx4UkEvI OOzxPAOZxb/4XdgT229L5//YAPidw+W2oQzwndmzZpmcKVMkhoPruN7lFXfv 5P/EDvgPysVvUfVK5V2uzNzLM6g/thy/XE6lDfxw7cvzKevZs2dNVlZWgkf4 y0X5KcM777xjWjRvbnbt3Cl14J1B553NJaztvXXgnHsP99Km3Jfs3lS/v6ur 60tefhRVRkX5AN+RHFb41OrXry85++7cuVPWxVIoFAGAR4wfN8688cYb4rOY P3+++b8eWfrNN9+IffvNN980U3NyfsIjmNO//PJLs3v3bpO3datci3/ExVow HyCjyWm3YcMGs3zZMomvwIdPzAVyj3/z8vLMZiu/sKnv3LFD7Ojk5/pzfqwg QP4R90cu0LfeesssWbLE7HnvPZEnPGfF8uWmerVqIkM5T64Zzp8+fdps3749 MQ/duH7drF2zRp7PeXLkkC93ky373bt3I+uVyruQcVJmex75vHbtWqnrxx9/ nGgj6hW3DfxABvPe8+fPSzm5n5gGOCE8gvf7y8X/qcs4+91r16plcnNzzXu2 DidPngw8z3yerO0BvOHrr7+W9sIHduXKFbPMfuvNmzcLRwi7N5W6U9c/Wf5w 8eJF+W3lypVm06ZN5urVq/KcqDIqyg/gf9jF1tu5Aj9dlSpVJL+V2iQUivQD PGLe3Lky9zZq1Mh069rVfGFlAGDeRv4vev11c8nO3UE8ghy4Y8aMEbsjsuTo 0aOSo9Ndg065ZcsWM2L4cJnvP/nkE9OrVy/hLNg4kB/wC/z5mRkZYsfElz9o 4EDRiXdY2QfgI8gpZD3yEnsAsYPEdRDjge57+NAh84u2bc3YsWPFn4p82rNn j8jUjh06yLvBRx99ZJYsXiycgWvgCA2szoPcdXGIyeqFbSHuu4hBgTtNtM9G tn5//75ZYeV8p06dRBZiJ+CdcdogCOjcb1seNNfKXcpBXtT58+aJr4r6YF/w l+vvliPBD5Hzje03d3EQlC3oPDwwWdvTHuR2X2zbFG7Fu1ZZGT9wwAAzZfJk eWfYvcRrxK37fVs+eAPtyd98o0GDBkmOQsodVUZF+QBjnbECB6V/fPrpp2KP iGOT8PrgmL/gHd51ZWXlo0vXcgWhPJVVkR4QHmHlDvJn1qxZppbVQ5Ej9B3k 2w6rGyKnmKODeAQ29GFDh5r9+/dLX7tw4YLpbXkCcg2g0/P75EmTEvZ99HLm d+d/5xrkRnbfvuZbKw8A+jNyhXUHAPsAuu6E8eNFZiO3ePeAF180PXv2FJ35 ww8/NF06dzbTp09PlA85i63BK9vRWeE0lJf5ivJ17dLFfGTvj1uvOO9irHE/ 19GODsyF1APOdiWfs8VpAz8Yz8csvxkyeLDYEhzgfi1btkz4NYLaAP6y1cpb ZDUxMg5B5+O0PcAm0yMry/Sy56ij82VF3Run7rQla0bGWm6HzQLAUeEZ2L7h FHHKqEh/MPfw7bBFAHxX2EufstzYnQsC45Q5i7kM4N+iH3C/+53+WNoxm+la riCUp7Iq0geOR9A/Dhw4YJ6uXFn0yB/+8Adz+fJl4RTM82E8gn6GXIYfYItE 94UjTM/Nld+xQXe2uveIESMSsQdHjhwRmbY7P17z2rVrZrCVhchD58/G/tGd WEErIwC2aWwIPJuYBA78MX169zZDhwyReSdItjMmWKvqlaHessNpateuLXLW 64uPqlecd4n8fv11qf9nVqfyPhsdvGGDBmKTiNsGfrj3ObntIHGWnviIoDZI hUfEaXvwue0vcK1RI0cmnhfn3jh1pz++vnCh2LC8MSz/X378aNwyKtIbzp+x 3WeDgzOuWrVK/Bv4WP0xw4zTNWvWmDp16oi9Dx2Fb96vXz/pR8ePHxd+zXh/ 4YUXCvR5L5jr8Odh54pzYOtibgxDYcoFj3I2QOR5VIwP8xbtEXUwxyeLtSpM WXkutuCyWueuSA84HgFYY4X9nXUZ+P/3Wb6AD9r5FMLiI27dvGn2Wjm7LS9P +hhyjbUfALskdnbm8/Pnzsn4gD/AK5AfIFCO+GQhOih/Ix/C9r9KhUeg38Jn 2rRubSZOmCAc24uoesV51+/u3hW7PrYOvz4MZ3vejlds9HHbwA/3vfplZ4v/ xKG4eUSctgdBPCLOvXG/P7wAe0TQepi4ZVSkL5hnWAOFH9Tpw17QJ9q2bWva tWsnfd8L9OPx48eLTrBr1y7h8NjoMjIyRN5/8MEHohfMnDnTZGZmJmxaJY1U y4U/jrkWPWPo0KFmmOXNzpcaBMehabeo4/r160ljhVIt6007PzK/E/OF/1fx 8OKE5RFz586Vv5Gt9Fl83KzvZH+qzz77TH4L4hHM1/yOzkgsFDwaX2afPn0S 8tb5OqfY+R2Zil7PPAGvdYgjR27fvi2xCHBj7GxeoN8TB/CRk+35NgMQJEMp E34N5F0XK+PdGhW37jFOveK8Cx8+sSdwleOevTl4/0HLI5DV+IDjtoEfjHvW 48JTsOs7FDePiNP2IIhHxLk3Tt2FM1m+R4yK16bq1m/Qx+KUUZG+4Nsjq5yN zg9sEug1VatWFTupl08St4y8Q74xFviN2KsnnnhCYnaZ2+Dyva0+M2TIkNB4 Te6jvxAbHOdAvifjramWi7FKLBZxQNzL+OZe/g4C/gZ0Evp+1DHNzl3Ol1wc ZeV7MJ8MHz5c+I7i4QRzMP0KndrZu5jTmc+J08M37cab063hF8TAA8bRr9at Mxlt2ogtkn7HugH8/vR/xhdzPH2NNRHIBuLh6I9e+xoyHb7Le93+y/hDunfr JrIDwKPhNY3t+3kWcsGtpWTtB3KacYBMzbF8x9ny2AsaezdrW91YZA0AcYDE la6z5XfzADo94ydOveARUe+ifNvtnEibYYt1sUmchz+wx4PjaXHawA/mkLcs z4HbsdYBDkC7Yivp2LGjGWfnDt6JrcXfBlwLn2verJnMQw5B5+O0PcAPhs1m 5IgRie8b5944ded62rBRw4ayFoM6MY/xzehXyJ84ZVSkJ6JsEQ70C+Rce9uX 3doqxuO+ffvMM888I3MZ/0dvJt6roe0vfH+AXb6NHdP0ozD7vls3ffjw4VgH 44l+GITClIvfsRu4OQl7QP/+/X+y1r64Udg2pL3wCSuPeDiBfEGms5ZqwIAB ouMx78LFiXfvZudwF7snXMCOF+Imnn/+ednrkHmadYvslV2vbl2JP5QYayvP kEEvWblAvNs1KyP4Dc7KGsJjx45Jn2TO+IPtp8gt5B7vy87OljmE92EnQY/H tse76NfE3uH/JoaQmH440Lq1a8Wuhg2O9xNXxx5K/M08c93yopkzZsg9Bw8e FDnF2saWLVqYF+34xB96P3+dwhE7L2yx8p15IapeFy03inoXdcP2h++BtruY HzMBV8Gvyr7VLh46ThsE7aVwzs55rI9AfnM99lp8MHVq1xZ/B3MSZfCWC72P OYK5AB8WayRoF/pE0Hk4UlTbcy/9hZh62oXnOL6Y7F5sB3HrLvyoQwfhf3Bc uBh7bVJf+m1UGRXpC/okcwP+eb532EH/YOxUqlTJLF++PLHfCGt869rxeurU KXkeYwy9Gfnm9kyhn8Az6RfwyyA7AnZXuAyxGHEO7KvMH0Eoarno8+gx+Bq8 9saSQGHLip6gPOLhBXoccoK4BezzrNlzPkO3b4LLxYWMhG9wHXM7nABZ7OzJ I0eOFHsYuiPrEoiHk7V/dpwhw9CF0SOJK0Q2I6OQydj8v7R8gvgDdHvkHvEI d27flvmEdZXE8TubAOU59OtfS/w9OjgyBZnnxjGxF6z1I64Rezh2eWI8sJlT duqAPkO5KB/l5W9iQdhTiv8jZ0FUvf7NzjdR72JOYi6gPsRbch1rKdk/A5uO 22eacsdtAz+Qn8y/+FzwHVNm6sL6GLgD9cHX6S0Xtklsp+wrxj3sl41OTzsG nXd23mRtT3+SfSusnkgdsMO4mI1k96ZSd3gudocXLU/BxoN9BbuSi/GKKqMi fYEtCz8iB/Is2cH888gjj5gO9vvC6YkpYO0v352YP8Yc/bi1navwSwJ45Jw5 c4RjYmejH5X0XhRFLReyHd2LmMeSjvkpbFnRF5RHKIoDbq9E19eZ75EPcFjZ V2jnTrH/4eNmvkCvZHwg044eOVKo99HXg2KPKAPniyMXRFi9nDxP9V3IY+7/ sQT2zZYcn3/8o5SZeaikcmEka/uSvNf/HLhDWF654nqPovSA/amB1TOqV68e +8B3B39nvTF7vSBvAeMTOUesDHvFAGQgnBJ+TPxFaexzWpRyMXdyDbFK9OV0 Lav6NRQlDfz3xBkQZ+/2L4bnMkaQp9jNPvWsh1QoFIqSgssdmm7wl4v5ETsu djhsei4fYDqsQ/KXVXmEoqTBGMAX0MnqDaxjIt6SuAj+JW6IPZQ0h6RCoVD8 D+AM6Ff4nFmXjg+StW34ENItVwy8hri6GTNmiK+R8kXlAlIoUoXEBty5Y365 dKnEI+JrY53lK7Nni5+jrPNiKhQKRTqBuEX8vTVr1kz4b1q0aCFrkNIN2CWI mSeuAh6Bb0T3y1aUJIL2aVcoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQ KBQKhUKhUCgUCoVCoVAoFAqFQqFQ/BTs5cAe0Ox9Su4k9imTfUVKcZ0mZSAX D3kzdW+Jgki1bdy+oeypy7dMx338FAqFQlH+gbwhvxH7TJLzgpzMi994Q/Ik kvPo9q1bsidraQB5R+6r1xYsSOReUvwPUm0b2Vv3xg2zds0aM3/evER+coVC oVAoihN/sjKJXJbk0J45c6bk+sQmceHCBfPyyy9LDmjyaZcGl/j9vXuS75k8 k999912B39we8+mCkixP0LOTtU0QyGHFXrrkOSdv5tkzZ0qkrAqFQqF4ePFf Vlbt3rXLNGvaVPaq9ssucvJOnTrVtM3MlDzhpeFrYL9L/3vYBxN7CXlr0gEl WZ5kzw5qm2QgN9rKlSuVRyjKDej/3r2Vi3sf3JJ+vkLxsIEc3r169TId2rdP 5Ib1Ap8H/KF+vXpmyJAhEjfBeMMPgr6LTONf7BfEVsTN0UJeZ/J9Yqv35nfm fper2411xviNGzfM7FmzTM6UKXK94ztcz9+8nyMqjw1l5xqez3ORs0Fl52/K hP+A/e6JS4hTnqgyRbVdVF39bePKw3NoS8rrjYPg/OpVq37CI8LaX6EoKzAe 6L/k3cEWSr8G9NGLFy+au3fvpvXzFYqHEci0fXv3miefeMIMGzo01EaPn2PA gAGmZYsWko8eG0VeXp7Z/M475tatW2bnjh3m1VdflXz0f7ayKQq8h3wuPGPr li0mb+tWGdeMc8b06dOnzfbt2yW/F+DciuXLTfVq1UxWVpbZ8957kgOPeeD7 7783p0+dkpiOJUuWyG/I/SAge+9+9ZXZYZ+9xb73qq0XdZg9e7bZvHmz+AqQ 1ZRDnmvL8Y79fe3atVJW5h8nr4PKA5KVid+i2i7s2WFtQ65Uvs/u3bulHd9+ +23hfZQTBPGIsPZXKMoS9NX9+/dLTqp27dqZb775Rs6TG7hbt25iF03n5ysU DyPQa9esWWMef+wx0X3DAE+fPGmSqVO7tuQAJ/839onMjAzJbYvPftDAgaZF 8+Yio6Pw6aefmnnz5on9g7G9a9cu86Z9Bjr/nj17THs7xjt26CDjG6ArHz50 SGTh2LFjJU8tuvTXX39tNlm5iRxEhycGsXWrVmahLWOQfi05zF9/3VSzMrpV y5bmjUWLzKtz5pg+vXtL3XJzc80DWwauW75smZk4caK5cuWK+f7+fbNixQrT qVMnkffYMPzlQaeHgyQrEzwlqu2C6sqzw9qG/MJjxowxS5cuFZ509OhR07dP H8nJDoJ4RFj7KxRlDexk69evN02bNk1wW/o/uS7nzp0rfJr/FzYGO+r5cH03 t3z77bdpl6dboUg33LfycZ4dO09Xriz/hgFfBvK2ytNPmwULFoj+i+zL7tvX fJvP6dGTkY2vvPJK5HuJ2eyXnW3OnT0rchMd/fz58/IbNv5FVr57ZSX48MMP TZfOnc306dPl/+jh6OATxo+X+ynjWfs8YkJ79uyZsA/4gQzt1rWr5DCHL4Db t2+LzG7TurU5ZGU4OgvvIvbUAf2fd3Ev3MJfnrhlitN2Qc8Oaxuejy2JMmNf Ym7s3auXmfvqq/J7EI9I1v4KRVnj4MGDpk2bNmbnzp3yf2x5jMsTJ04IF8c+ CG8uiefDH+D6Q+2YGjZsmPBx9fkpFOGAd5Pn/sknnzQzfDLLC3Ri1gjUrFFD 9PRr166ZwYMHmyH2cHz90sWLJqt7dzNp0iT5P3oDz//qq68SB3IbWYss72N1 5p49eohMww+AngDQM5YuWRLJI5DR6Phcx/Uc2Eqm5uSYOVYeh61xxJ7fy8p0 dHgHyopOjp0AH8OC+fPlXVzrwFyCbaF+/friEwmS9XHKFKftwnhEUNtQLuZB OAb6E3MjnGR6bq78HmaPCGt/haKscfLkSdOxY0exAWIfuHTpktjisAPS74cP Hy4yvrifj98Qe94mO87xYbJWLTMzU/5WKBTBYAyhc+PXGDlyZKgsQfYRY9mk SRMZb4Gy0I5F/PmTJk6U/2Mr3JaXZ3rYc+5gTenNmzfFn8I+FRlWJ6hXt67I S867OKg4PILYAt6FPyaVOOsgHgGIKcDXgS1hyuTJpmuXLj+xaRAb8nydOsKl gmR9nDLFabtUeAS87JZtu732u9DexHNQv9xp0+T3IB6RrP0VirIG/b+H5bj4 3rCVHTt2TMYWQNZjkysKjwh7Pnz8+vXribEL3+jfv3/CR6hQKIJx/tw5iZ9k XCFL/GBMYTtHDvXu3VvWI8aRhX/Pl2/IZ3cg+/Dzw1f+YnUL1oqMHzdOZDM8 hjiEMB7xkZOt+Xq280X069dP7ABeEEfIe4IQxiNcTALxCvh48HEct2V2IPbh oOURxDEQk+kvT9wyxWm7oGcDf9vwbbBxYMdYvXq18EJna0jGI5K1v0JR1qBP 9+3bV7gCstzrcwviEYwtYiaxd3rXMRXm+Q6Md9Zdj7d6BTFICoUiHPgeWFfQ vFkz2WfAv34Rezm+j4YNG5qNGzbIuatXr5pBgwaJLGQNI2DdVPdu3czECROS vo89tok/PPnBB4n3E+OHbMRfj6xcsnixrEP12hP5GxtBTk6O6M3IaWImGzdu LDFSyGi3TvOc5UZeDuCF4xGjRo1KrPviPnwVxFsih7e/+65pYp9Ludy8xDXw B/wPzEP+8rg1HsRuJitTnLYLejbt7m8b7v/VunViV2DO4zrmRGI4sMnCMygD 35X9P4jDiGp/haKsQfzRiy++aDIyMsyRI0cKrMcO4hGMH3g44wqeXpTnO8C/ sdnh+9B9JRSKaBBDOGPGDLHhEW8Er8fGh82PNYbot/j5kWPIXuyCrJPKzs4W nzy2dWKU0OGJT0J2he0jwZg8fvy47HkFR3HrEEZbuX7lt7+Vssy0ZWnZsqXE QzlfC2OfeEXiI/mbeKgT9jmsheBa7AiUnb28icPi2UGARxAXQCwi6z6R/Ret bk9cBPdSbuwyrNUYOGCA/Maz0EmIfVhjORd18JcHfYh2QFaHlQnuE6ftaAf/ s//zP/7jJ23D94Db4ZsgrpJrWU8KJ2QPS67HTkv8JudYQ4oNJKz94TgKRVkD ux46wjrLkf2+tiAewZj6xS9+Ifwdrl+U5wN0B9Yybd26VfyzCoUiHtBLiTUc O2aMrMl4a/VqkTXECiALnTznOvzw6MvE/OOXv2PHJetHsZ2zFsHpxkFATn9g f0fOsdcBcU38i48Such+Ftj9setjB4EvuPcS59i5Uyex/6N3o4+T/4O1EE2b NBGdGt36fhL7vOMR+CewHaBvsMfDu9u2FdgLizotsnMN76J8G9avFzmM3A8r D0hWprhth3z3P5t7g9oG7oBPAt0KewbxLnA+1ofCe3bt3GkGv/SSlIP4UXhF WPvH3UNMoShJiN8tf582P4J4BP0WnQe5/36IHTLu8yUnjdUjGIfOT4KNVm0S CkV8MF6Q56yvCIsxKCpkr6f//m+Rubzrx5jxfZQNWe9kuQPzQtw9Gb3xEVyP fE7mU2UO4ZqgMoaVJ9UyBSHZs4PeReykm+tcvZJxucK0v0JRlqB/s3YM2yl+ CclFbPsyYwSuje20KPlumAewO7KvC/4O4qzPnDkjOWp0HwmFQuHwm88+E3vE 6NGjVf9WKMoR4MfEGb300kvCI9AJkP1wYWJ+irrPA75c7Hw1a9Y01atXl4O9 L4l1UigUCkBsB/tV40sl/oB4hTjx3QqFQqFQKBToG9gsWe/A3tHscU2so0Kh UCgUCkUUsEf87a9/lVgCDnyeao9QKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQK hUKhUCgUCoVCoVAoFAqFQlGSYP9D1jGwLzN7K7AHrewZV4p7wlIG9tH8oy2D 5rEuiFTbhn22WI/Cvpp8y6Lu06NQPIxgHLFnbEUbP8wh1MnlKwwD+96Sh4i5 hLZAJiAfvvvuO5mPymrPcMrD+5FX3v18FWUD+gZ9hZzg5Lgj/+fiN96Q/FLk irh961aR9ptNBcg7cku8tmCB7FOn+F+k2jaSK+DGDbN2zRozf948yVOqUKQ7 3J7w5MDwHsiKOPvEFyeQtYw19shmz8yKBNqUOZ+cO2EciTnk8OHDZtasWZIv EO7A/uMjRoyQXIOLFy+WHKtRXKS48eDBA8nzunPnTvPOO+9I3kLKoev4yw5/ suOE/E4v9u9vZs6cab788kvheBcuXJD80+z9eMT2pdLgEr+/d0/yZE6z76XP euFy5qQLSrI8Qc9O1jZBYJ4gNwA5ucgDdvbMmRIpq0JRnKDfksMzLy+vwEEe QfbCLi2gX7FPHTlEyQFWkhzG6fnIx9IE3IhcxOQpDpLB5DNBBpAXjbyA8IY2 bdqYrl27mjp16ph/+qd/Mp07dy5VjkU7bdu2TXjM2bNn5f98I/JSX7p0SfMd lAH+y8qq3XZ8NmvaVPJ7+mUXefSmTp1q2mZmSi690vA1oI/43wPfhTuThy8d UJLlSfbsoLZJBuallStXKo9QlBugw6BnMu94j9l2fkI3Li1g/1u/fr2ZO3du iesv+E3INYY+V9pA9s6fPz9QBpPPpF+/fpKT+OTJk5Ib2XEdcjmOGjXKPPbY Y5KHvbRATne4y+TJkxO+DObLAQMGmCFDhpRYfklFOC5fvmx69eole0Xzffyg X8Ef6terJ98IvxjfDj+Iy73Lv85HFZcLMm7ISclY9ebFdL5InuX4MXIVvjt7 1iyTM2WKXO/GNdfzN+/niMrLR9m5hufzXMZEUNn5mzJh02Q/bfpmnPJElSmq 7aLq6m8bVx6eQ1tSXq+NkvOrV62KxSPCnuPiZvheHK4+rvzec1F1d23v4jZo f9fuyerhno1OyO98E+7161Cp9gdF+oF+4P2u9BvOlab/m/ft37/fDBw40Hz6 6aclXj767K9//Wuzyo7VwpS1KOVhPsI3MHbs2AL+Up65ZcsW06FDB3Pq1CmR D1euXClw76FDh0yVKlXMuHHjUi53YcD89/bbb5tatWpJXgMH5mfyydezcoqy KkoP9LN9e/eaJ594wgwbOjSUc+PngOu1bNHCHDhwQGwU2Bk3275369Yts9Ny 6FdffVW+65+tTIkC78E+yTO22n6at3Wr+FCQS8gIbGz44O7cuSPXc27F8uWm erVqJisry+x57z3xVzJWiP8h9xYxHXBlfkPGBIFxcddy6B322YyPq7Ze1AE9 B7sYvgLJqW3LIc+15WB8YfejrB9//HFCzgWVByQrE79FtV3Ys8PaBrnK99m9 e7e0I2MM3kc5QVwekew5yPsTJ05IXVasWCHtQDtx/ujRo6KrMNcmqzttj12U 52OTZD5atmyZtLvLj56sHrwPvkIe5w0bNpjl9t4NVldEX6JNmUdS7Q+K9IKL RaB/MR84nzv9Hl/43bt3S60s2POxgQy186Kz/5Vk+QrDI4qzPMhe5vi9Vh44 OJ/G0HzZgAz3gzHauHFjsdmUBpijp1j9qm7dugX4Am3BXP3444+b5Xb+VJQe 0AuRAY8/9pjovmGgP06eNMnUqV3bvL5woczj2CcyMzIk7xU++0GWt7do3lxk dBSQOfPmzRN+i5zA7/mmfQayYM+ePaZ9u3amo+XAn3zyiVyPnDlseS+yEM5M /0amIJc2WXmD3EGHJwaxdatWZqEtY1Dc0L1798T+Vs3K6FYtW5o3LH99dc4c 06d3b6lbbm6ueWDLwHXIqYkTJ4q8+/7+fZGfnTp1EnmPHuwvDzIVWZesTIyB qLYLqivPDmubzz//3IwZM8YsXbpUZDVynRxkbj6IyyOinkOMJryma5cuCc7k bFXTbbsxdyWrO30I3yr8iDqsWrnSDLTzFv3uvm3fqPfTV+F+I4YPN1evXpX6 Y0erUb26GT5smNi7U+0PivQCfRUbALm629k+Qlwf4Ft369ZN5HoYkHNcD7+O czDGg+SiAzKqffv2ouMWR/miUBgeUZzlwS9APvYJEyYkeBMcnRiEdevWBd7D OEUPaNq0qTl27FjS5xfX9yGWsm/fvqZZs2ZiS/cCHeRf/uVfhPsoSg/M3/Ms j3y6cmX5Nwz4MpC3VZ5+2ixYsED0RmRftv2e3+b3XfRkZOMrr7wS+V5iNvvZ /nnu7FmZ39En8Q0CbNGMXa+sBMRddenc2UyfPl3+j/5Kv5kwfrzcTxmJuSEm tGfPnglZ5wccplvXrqZ/v37SV8Ht27dFZrdp3VrsdIxN3uX1VdK3eRf3wi38 5YlbpjhtF/TssLbh+diSKDP2JfSS3la+zn31Vfk9Lo+Ieg5yHA6ETcq1C+dO HD8uPDBO3bFB9bBcpJf9P+3JPTwjzvtpN36HzzqfE/oHPIFvVtj+oEgvIDuI SUA20QcAPHrjxo1JdV76B3rAoEGDYh1wS3hnGODszz//vPT5VMuHHOZc2Joq +q+Lc3IH4wBbL/qK9zxHMv9EVHmwUTidi5jRMD8fPH/kyJGiK6ETeH0afnnt vWeOlQvMU1HxI8X1fdA3iI2AO8F9vEDn+PnPfy76iKL0QP/65S9/aZ588kkz wyezvEAnZo1AzRo1RE+HEw4ePNgMsYfrl5cuXjRZ3bubSXaeB/R/nk8sjjuQ 28z3yHJia3v26CGcAlu0456MvaVLlkTyCOQEfY3ruJ4DW8nUnBwzx8rjsDWO yDLkmLevUVZkIXYCfAwL5s+Xd3ljw0VuWf22fv36Mr6CZH2cMsVpuzAeEdQ2 lAu7PRyDeYL4NDgJNgIQl0dEPQdctO+knNhpmDdYL/butm0y3uPU/XM7H8EN Rtn5KtX38y3oL0OHDBF/LsAG0dnOe8y/he0PivQDa/hYE0AfAPQLuCJrj0oD yG307KpVq4oPMpXycS92R3yh2NaCQP/Fp4kcdAcxjtgiGPPe8xzI62RrRcLK gy+SsQkXwjfBmgtkbZBtDlsB47qV5eWMa/4/bdo0iYkLsgtQB94HN3B2kNIA fAQ7ZPPmzYVTeMGeBdgjiL9UlB7gquiW+DXgomF2PmQf/alJkybC0wNloR0H 2L0n2b4I4MTb7BhE/3QHa0pv3rwp3JtvnmH7fr26dWXscN75++LwCMYh78Iu nkp8UxCPANjn8XWgz06x/dBrv3dAXj1fp45wqSBZH6dMcdouFR7B/HLLtt1e +11ob3R06pdr5wCQSnxEsucAZDz7iiC7sXleOH9euFXcuifjEVHvZ25mDwx8 UOftu+Go2B9Yx06bFrY/KNIPrAvo2LGj6ObMUYwP5p1kewMwd8BtkW9xDmRp WD/hPejzzzzzjMTypFI+ysDYHD58uMjtINBfsRVgA3UH8y+6P/Z673kO4ojQ 5VJtL+wK+Ac32TFKDAX2/szMTPnbDxd3wPuZI7EPu3Uafri1JfAkvywPQ3F9 H2yNo0ePNg0bNpR50gEbD9+K+Aj0CUXpgjkZW3UPq+shy/3gW2IfRg71tnM4 /DiOLPx7vlxAPruD8YWfn374lwcPxF42ftw4kc2MI+IQwnjER0625uunzhdB X0cX9YL+Grb2J4xHuJgE4hXw8eDjOG7L7EA/PWh5BHEM6Cr+8sQtU5y2C3o2 8LcN3wY9GzvG6tWrZQ5xtp5UeESc57g2QOdibU+O1fPhVR/m21Lj1D2MR8R5 P+/Gn8RcB89jnsQudCa/ToXtD4r0A/KB+YgYKuQGvnd4YjIgM5mnsFHFOZCl zqcWBDjqc8899xO/RpzyURb8j2E8IghFWa8RVh7sEtgWnDyGb/Tv379ALKUD dgvGzy9+8QuxHbNfBvEhfjseXAmbADKbWE4Hxmwym0lxfR84BuvYa9euXaAe nCe+8tlnnxX7jKJ0gV5HbHtzy0P5Pv71i+ig+D7gfxvtmOIccW74sJCFzsZM n+rerZuZOGFC0vexxzYxcCfzbZS8nxhLZCPxEsjKJYsXi6zy8mb+xkaA/ILb IiuImSRWGN0BOeHWaaIrezmAF45HsO7ZxTdzHzIJXRf5tf3dd00T+1zK5XQg roE/YNdnbPnL49Z4ELuZrExx2i7o2bS7v224/1fr1oldh70muA49gRgOdA/m D8rAd2X/D+IwghDnOW5tJvMUOv8Lzz9vVlr9x/UX5qyoussaY9v2I0eMKLDG Ns77maPgTjwb3oUt1e3TG/f9ivIBxhexdMhhZJ+LnUoG5CBjGDkc54CHEh8W BnwCGRkZgb6JqPKVNo+I016ME8bW+PHjA20I6JDYnImr5G98GsRdermB29cG nw1lpZ5uDTbzWjLbRHF+H+qBH4c2dhwJ3w8xovCp0vSzKP4XxLzNmDFDuCp+ NeIY6BvIDNYYohfia2ZOpi/Bf4kHps/hy6avMe7Q4fHDMYeH7SPBdz9+/Ljs eQVHcesQRlu5fuW3v5WyzLRladmypfBK52tBFyVmjvhI/qZfEuNHnB3XYkeg 7OzlTT/n2UFwfnb0YtZ9Ivvx+xMXwb2Um3GEr5D1BPzGsxgj2MvWWM5FHfzl oe/SDsjqsDLBfeK0He3gf/Z//sd//KRt+B5wO3xDxCNyLetJ4YTsYcn16CPE b3KONZBBvlF4f7Ln0A8cX0B2o6sRu+Bdm0O7Jas7dlPmOPQd6ub264/7/mt2 nuI37MX4xNC54AfMa3+wz6JfJnt/WH9QpB/4/i/aPoIcP3LkSJnsT4g+z54I 2ND9+75Fla+0eUSc9sIuybjB9xHkL0Av4RnojPAQ5if0SwfaAK6APRDfCDzD HdgxmC8Z36UB2hd+xzpV5jh86LQd5XcxIoqyAXYBYg3HjhkjazLeWr1aZD02 ZOZjJ8+5Dv81+jJrLvBn37l9W/xo2M5Zi+B0yiCIbdz+jnxgjwD8d/yLXEAu sp8Fdn/s+vRpF7PLe/HF45vH/k9fR48l/wfx+E2bNBGbBjaEZHqG4xH4J9Bf GVfsM0C8oHcvLOq06PXX5V2Uj70KkMOOnweVByQrU9y2Q+b5n829QW3DHIJP iDkEewbxLnA+1lbCe3bZcTXY6hWUg/jRIN8VSPYc5javjZFr0fn98dTJ6g43 xX6BrZS6Y/Nx62XivJ9yY4tp1LChadiggXCOui+8IFwDPxTPKkx/UKQf8FFh a2S9YVnl6mO+w7aPDuX2aolbvtLmEVHlga+zxp76IHODfsdHgP0BmyF+Bf/+ W+g3+HjwJ1SvXr3AUaNGDfFJJvMTFTeYe6gvvgzKDq8gJlbza6QH4KrIc3xk JeVTlr2erP7IvM+7fow5V7j8PX4/HGPeuydmMnjjI7ge+Zys7zG+uSaojGHl SbVMQUj27KB3efPduXqlOgfHfQ66f7J6FbbuYe/n+8ieXZYToTfRN5nvsO2g Y8Gpjlo9rKjvV6QHJH4qf7/XsgT9DPmMruHtS1HlKwyP4PnYJTflxy2ngmTl kVx9loOjn8C1XSyoG2PMxYwt9nZh/ajzGWPHLA8ymfkCW2d5KKui4uA3n30m 9gjslZrPpXyAfb+InyAml79dvAhzBzwDn5N/72KFojhA7BL2WfhrHE6PfGZt BX5i7OzEUseZZ7gPX5/f9lEUMD4YG+x3h7+D9WfEJRMr7cqFHudyPKdTDkSF Il0hPvRTpxI+eni38tj0h+xDunCh6dSxo9hWibckLoJ/sWkeO3q01PNJKx4O uLhybOb4D6KAXYG4HXwE8Ajsn2U1xxDjhq2uZs2aCR8E+zfhk3Rlxaa3b98+ 5RAKRUwwruDmrHdgz2X2uCbWUZHekHgVq6f9culSiT1t3bq16dKli8TvoCeW tf1bUfGBzC3tnN4lDedHVLusQhEf2CP+ZsfNX/MPbHtqjyhfKIvcjwqFQqFQ KBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAUBayfYx0D+zKz twL7ssl+JaUYG08Z2Efzj7YMup6vIFJtG7dXE3s78i1T2d+Re7med7HXU5z3 s46CffXYT+f3+ftUB51TKFKB2z9V5wOFIn2BzGB+Z28ft7fZ4jfekBxH5Cu4 fetWqe1Tgrwjt8RrCxbIXmuK/0WqbSN74t64YdauWWPmz5v3kxzAyUB/YD8d cnytyc/Xk+z9zPVf3blj9u/bJ3k02G9/T37+EO+5A/v363p1RWzQV9ifmtwT 7BOpUCjSE3+yMoG8SC/2729mzpwp+eWxSVy4cEHyNrP345HDh0uFS6Czkqtx mn0v+6Z74faGTxeUZHmCnp2sbYKAHYA9cMmJRh6ws2fOxH4/e3atXr3a1K9X T3KFRb2fOX71qlWS04y/yUtA/lKu954jr6ruPamIC+yh7B1HLihyMcFXFQpF euG/rKzavWuXada0qewP6Jdd5GyeOnWqaZuZad5///1SsS2yx1BQbijsJeSb SQeUZHmSPTuobZKBPfhWrlyZMo8Aly5dMlnduyd4RLL3U1b2miQ3LOAa9vT3 n9N9vxRxgS2CnBDYserXry/72Rdn/gmFQlE8IG9ir169ZK9ocsv6wViGP6CX DhkyROImkCXYvV2OOf7FfpHKHqvsyYrfHVu5Nzcj97v9Wp3MQa7euHHDzJ41 y+RMmSLXO77D9fzN+znQX5KBsnMNz+e5yNmgsrv4AOz36ObEBcQpT1SZotou qq7+tnHl4Tm0JeX1xkFwHjtBHB7B87EV8AyedfbsWZOVlZXgEWHfhrZ55513 JBc7ecq5lzbznku1jdw3cvEdfCfuKUrbhtWVsrr8X3HKpygd0ObwU/JQYhur UqWK5ItQm4RCkT5g3t23d6958oknzLChQ0Nt9Pg5BgwYYFq2aGEOHDggNgry 1my2ckLyOe/YIfZq8lX8OT8mLxl4D/lreMbWLVtM3tat4kNhHkcGnT592mzf vj2he3BuxfLlpnq1aiLX9rz3nugpzCfE75F7i5iOJUuWyG/IhSAgk+5+9ZXZ YZ+9xb73qq0XdZg9e7bZvHmz2Oolp7kthzzXlgNZuHbtWikruRycvA4qD0hW Jn6LaruwZ4e1DbKQ77N7925pR3wI8D7KCeLyCPoCzz9//rw8h/IR09C+XTvh Ecm+De8bN26cqV2rlsnNzZXcx2vWrClw7r2YbcQ3+vrrr6U+27ZtM1euXDHL li2T7wNHKErbeuuKL49cjvyGvYYyk4+J56TarxTFD8Yh396NS/K5Yo+Isknw 7bwcuyz2UU+HMgQhXculKN9AT2O+f/yxx0T3DcPdu3fN5EmTTJ3atSXvIjkX sU9kZmSI7xIf+KCBA0X3REZHgTlh3rx5Yv9Azu3atcu8aZ+BXktsHrKrY4cO ks8RoF8fPnRIZOHYsWPF144tA3mzycpN5B46PDGArVu1MgttGYPWJkjeyNdf N9WsjG7VsqV5Y9Ei8+qcOaZP795SN+TdA1sGrltuZddEKz+Zy76/f9+ssDK1 U6dOInfQXf3lQWdm7ktWJubDqLYLqivPDmsb8gKPGTNGfMfMEUePHpUcZOTB BHF5BDr32xs3mrlW7vJO8pcRm1n5qaeER4S9/++Wx3zzzTci6xs3aiQ8hryI cBvvubhtRF9bvHix8CjetcrK+IGWw06ZPFneWZS2dbhvvye8gW/M37ThoEGD JEcjdUm1XymKH84WsT3/uzFXrbL9GJsEc4Xft8b/sS3B9dFJnM0CngtfpF+V NNKhDOWpXIqKAebQeXPnmqcrV5Z/w4AvA3lb5emnzYIFC0RGMD9n9+1rvrXz LkBPZf4mvj8KxGz2y842586elXkZPRI9GCDPFln57pVVgPy2XTp3NtOnT5f/ o4ejs04YP17up4zY4YkJ7dmzZ0L39QMO061rV/HbwxcAcg+Z3aZ1a/Hl79+/ X95F7KkDOhDv4l64hb88ccsUp+2Cnh3WNjwfWxJlRq9gnujdq5fwARCHRzDP kHt7yODB5uTJk4nzZ+z1LS3fcn6NsG+Dr2OrlbnIa+Lqw87FbSNsVT2yskwv +3/anXuY84qjbeFarBkZa7kXNguAjIJn4IeHUxSmXymKD35bhAPxOm1tP25n +SVrOLygnzMGyIvN79/kf3/6abdu3STGKwjYRrmWfhbnYM6gbwehsGUoaaRr uRQVA+j0+BuffPJJM8Mns7xAlyRGv2aNGqLDXbt2zQy2Mge54/zGlyyvlZg8 OxcDZBPPZ7y7gzGITECW97E6c88ePYRTYEN2YxPevHTJkkgewfyOfsh1XM+B rWRqTo6ZY2VG2BpHZBTyCR3egbJiE0GXxQ6+YP58eRfXOsB30EuJ98InEiTr 45QpTtuF8YigtqFc2NuR8dgQdu7cKXJzem6u/B6HR/xg76ec8A+vbiJxlp74 iLBvkwqPiNNGn1++LGUZNXJksbct3Bk7y4gRIwrYeJFdP9p+UNh+pSg++G0R DlE2CfocsRRNmzYVPg2wgW3EzhaiJ8E9sUNij4pz0DewV4UhqgzYApwtlfEa FXfj/KxRBzpEsti0qHLxDP6va+0VqYI+jc6NX2OknbPDeDbzMzGWTZo0Edt2 4Hztkzn0yW15eaJXuoM1pTdv3pT5AH95Rps2pl7duiIvOe/sb3F4BLok78If k4p/L4hHAHz8+DrQQ7Ghd+3S5Se6J7Ehz9epI1wqSNbHKVOctkuFR8DLbtm2 22u/C+1NPAf1y502TX6PwyPgePhwsBE5G01QuYqDR8RpoyAeUVxty3PGjxsn 9oigdSeF7VeK4gGykLVKcHXkrB/JbBLg4MGDpo2dV+DTAI6NjZH1z6WFsDKc OHFC+AP+N9ZEDxs2TPyPYb4y+if30h5Rx/Xr1yPjd5KVC7sPcWD4RxWKVHH+ 3DmJn+zRo4fIcj+YS7HrIod69+4tfTbOfP33fPmGfHYHsgc/OzLmLw8eyFoR 5nRkMzyGOIQwWfWRk635erbzRfTr1090SC+wVfKeIITxCBeTgE8dHw8+juO2 zA7Mbwctj0AuYm/1lydumeK0XdCzgb9t+Dbox+jaxLPDC52tJxUegb2JfULg Ttj1HUqCR8RpoyAeUVxtK5xpwgSJIfHua+TWb2BPL0y/UhQP+G7IfOKQgoAO Qlxs1apVJf7GzwXxy3Xs2FHimRgPfH90n7D1xtzPdyWGN86BzI/il2FlwDdH /BKxOcQqMOYyMzPl7yAQh4XuQn+MOqbZ8e7WV6daLt7DeB4+fLhwG4UiVWBj Iya9ebNmMj79a/Owl+P7aNiwodloeTTniGvHxsd87fY5Jl6ne7duMkcnA3ts E7t2Ml8/4P3YKJFNxEsgq5YsXizrUL3ji7+Rczk5OTL2meOJmWzcuLHY5pjf 3TpN9mH0cgAvHI8YNWpUIt6I+9B/iLdEDm+3c1gT+1zK5eYfroE/YCNHdvvL 49Z4ELuZrExx2i7o2bS7v224/1fr1oldBzsw1xFnQgwHcxTzHWXgu7L/B7EC QWAeecvykKZNmshaBzgA78Muwrwzzs5TtAPzYNC34Xrajz7EvBd2DqADRbWR rEW232jkiBEJW22c++K0LdfzXRvZ/ky/p07IJuwwzKvIsKj3KEoGUbYIB74p 8re97Yf+GEH6LDoRcdzEtxw7diwRBxMEt7758OHDsQ76Pf0lGcLKQB/GbuB4 CHK9f//+iZjokkaytqEdiH1SHqEoLIgfmjFjhvRpOC1zKn2evoaPEv0WHzFz KbKX/kh8TnZ2tox39DhsY+jw2OuYe8N8dYyh48ePy55XcBS3DmC0letXfvtb KctMWxbi+7DDOV8LeiKxbsRH8jf2wRP2OcTRcy12BMrOXt7Y53h2EOARxGWg 77LuE9l/0XJx4iK4l3Jjl8HOzzoBfuNZ6On4Rtkjmjr4y0PsEu2ArA4rE9wn TtvRDv5n/6fV0/xtw/eA2+EbIq5SYtMsD0B2s4cl1zNvEWPIOdYuBtlQqTMc jvURyG/Kw/yCj4R1LPg7eA7t4v82jj8hm+u+8IKsk4CXUFfvOeS68+EmayPs q8yvrO+jDXg2HCbqvrhtm+BHlrc2atRI2gZ+CCelvvDoZO8J61eKogNbBLKN NWR8q7CDb8tYrFSpklm+fHkBmwQcv2/fviIP6UcufjsMzCPwFuIu4hzMVcTY JEOcMtAP4f7jx48vYAMsSSQrl/IIRXEAuwCxhviNWZOBfoqsJ1aAedTJc67D D4++jHzZm59DgbGP7Zx4eacbB4Hx84H9HTnHekDsfPzL/IFcZD8LbNPY9bGD uJgm3kucY+dOncRGzRhANpH/gzh6dGlkA7Ir2Th3PAJ7O3onNj72B3h327YC e2FRp0VWtvAuyrdh/XqRw25P56DygGRlitt2yCr/s7k3qG3gDviEMjIyROcm 3gXOBydgrmUPqMEvvSTlIH40yHcFkJ98Azgj/meeyV5YrPeFO8Ab6B/+9zOv 8w2x73Af8bjo9MSHe8+h6ztbV7I2gsPKvhVW16SNsA25mI3iaFv6Jd+ZMr5o eQp2J+wrrC91MWaF6VeKogM7FD46DsZksgMb/COPPGI62G+DvuPAeOC7Mh7Y T7UscrnEKQP+RmLEmH9KKw4nWbmURyiKE/Rp5lP8yCXlC5YY5P/+b5mvedeP Mfd5pmzIAH9+BjiOd0/MZPDGR3A98ifZXs3IPq4JKmNYeVItUxCSPTvoXdha 3Xzk6lWYPcwlx6edU3gmtqeSzIVR2DYqatt6n0P/c3t2ldR7FPGA7ahBgwam evXqsQ/8bv74G2xL69atK7P8oFFlYL5h7xzih+hf6VAu5REKRXz85rPPxB4x evRozTupUFQwSAx3/r7o6VgGycF786bYxrCzuXx8pWGTSFYu5REKRTygX7PX sfO941PXvFEKhaI0wFxDLATxQvgVWFfOXm/42MoyfwschrVLxMjh96AsqmMp FMEgdpQxjD+cdX+sLUsWF65QKBTFBeYf4opq1qyZ8MuwxyTrgsoS+O1Yi8S+ 8PAIfL+qXykUwcAe8be//lViCTjg3TpeFAqFQqFQKBQKhUKhUCgUCoVCoVAo FAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBQKhUKhUJRnsD8q+yiwx7v3 IO8F+5mxzxl7LPh/8z+Dc3/84QfZH5K9VsjLwV6vHBUxNwF1po7UOe7+u7Qn e1XQhuxBm0q7cK/kvbDvI29GVBnYJ4P9b8mV+ft79xLfLOy8QpHOoN/S/8ty r2uFQhEM5ND5c+fM2xs3miWLF5ulS5bI359++qmMWTgEf5ObesXy5ZJPkTza Lv8zcujLL7+UPJirV62SPJPk8c3bulXyPR6wB/dXNMADyMf52oIFiRyRUZB9 9W/cMGvXrDHz582THL5xQTuz3xw5rslbnqwMzLlf3blj9u/bJ3kzyZ3Id+D9 Qed1/1tFOoP+Sc5AcnGxd7NCoUg/IIPYl7XuCy+YKk8/bebNnVuA97Nv9Dwr 99hH+vTp04l94Llv544dpk/v3mbEiBHm/fffl/H+xRdfmLVr15rWrVrJcciT i68k4fLdlMaz0eWXvfmm5MP+7rvvYj0DOwD76JMvnTzWZ8+cif1+bDyrV682 9evVkzziycrAXAunI9c5f5Pf79VXXzW3bt0KPF+S+TwViqKC+Ya97GvUqGGW Ll0qPFmhUKQfsEv8at06U71aNTNgwIAE7yc/HHrwwtdeMx9//HHiesb29nff NQ0bNDBTp05N2Nod4CHkoeljucfePXtKvPzMLfAXcuiV1rOxyaRqZ33w4IFZ uXJlyjwCXLp0yWR1757gEWFloJz9+/Uzhw4dkv/zO98x6LzuCa5IZ2CLIJcV trP69etLfr07d+6UdbEUCkUI7t69a6bm5JgXnn/eLFmyRPRn5OeyZcvMwQMH Etcxtj/55BPTuVMn07lz51C/BXaMLVu2iH8jDC7+ghgN5DVy9ocffpD/e+3t Lj4AG4iLv3AykPtu3LhhZs+aZXKmTJH4A6/tgHv5P8/l8ObV4/34DFwuXf71 vj/s2fyGbOY6vyx2MQj4HSivNw6C89gE4vAI3oGtgGfwrLNnz5qsrKwEj/CX gffSLu+8845p0by52bVzp5SXdwadd22UrH3838jFd/CduK8obRtWV74vz/fy o6gyKiom+M7w3/Xr14s9rkqVKpLnSm0SCkV6grn6448+klyYbVq3Fl/HmjVr JDbCO6cju4h/ePyxx8yECRNCxzTP+8P335tbN28G/o5MuvvVV2bH9u3CN65+ +aXZbGXd7NmzzebNm8VWzzN4N3GB+FSQhfhM8vLyxD7i5DWxG9hSkLPEaqDD AMom9546Zd566y3hR/yOrOK33/3ud/Is3ovdHz8Ntn7ygP75T38KfDa58DhP ebbbsnv1I2Qh8SK7d++WNsKHgL+HcoK4PAIZzDvOnz8vz6F8xDS0b9dOeARt 4i8D/+dd48aNM7Vr1TK5ubnmPVvekydPBp6njZK1j/tGX3/9tdRn27Zt5sqV K8Ir+T5whKK0rbeuf7L84eLFi/Ib9ppNmzaZq1evynOiyqiomGDs09/cXIC+ gj0iyiZBf/Fye/oX5/i3PKKi1ScKD1t9KyLQ+ZBLzz33nHm2Zk2R6U4GOjB/ E0/5TNWqZtHrrxf6Xffu3RMffTUro1u1bGneWLTIvDpnjsRb1KldW+TdA6tH c91yK7smWvnJvPL9/ftmhZWpnTp1ErmD7nr40CGRzWPHjhWfDDoz8xAycJOV 5chi7ArEJRKzsdCWn7lpg+VIxBxkZmSID5Z4g0EDB4reDr/BluB/NvJxz549 ItM7duggthmHzz//3IwZM0b8uIyFo0ePSlzJ3r175fe4PAKdm3jXuVbu8k5s O8RmVn7qKeER2Bf8Zfi75TDffPONyPnGjRol4iBor6Dz+KKStQ91Z/3N4sWL hUfxrlVWxg8cMMBMmTxZ3lmUtnW4b8sHb+Ab8zdtOGjQIMlhTLmjyqiomHC2 iO35fQU71io7drBJvGn7kt+fx/+xZ6FfXLhwIaHfwK/hqNhbyxMqWn2i8LDV t6KDuXrkyJGm2jPPmFmzZomc9oLvOXnSJFOzRg2RDUUBOka3rl3Fbw9fALdv 3xaZjU0EXz5+kS6dO5sdVp91QB+ZMH683Au3+PDDD+Wa6dOnJ67BNoAezXXI fmQivoEBL75oevbsKfo4tgNkW3bfvuZbK7MAOj6yj7URIOjZyPlFlvf4eQTP HzZ0qJQZ/sx46N2rl/ABEIdHMJ6OWf4xZPBgsSU4nLHXt7R8y/k1gsqArWir lbfI6l974luDzsdpH4D9pUdWlullz9Hu3MfYLo62hWuxZmSs5V7YLADyAp6B TxxOEaeMiooFvy3CgRihtnbstLOclphuLxhbjLsWLVrI79/k9znGRrdu3SSO q6SBHsZ7GSdxDuY8xmYQ0qE+pYmHrb4VGcgIZBdrCpo1bWqaNGki+oDXzkTf Rw48XbmyrOMoCpBRyCd0eAfk6K5du0SXxQ6+YP58keNc64Aeil5K7BU+kSBZ j8xBZ0XOsp6VAzsKMSBzbPlZd3nt2jUz2MprZLbzuV+y3FfiGa0cA0HPhjfz PD+PoFzYa5Dx2BB27twpcnN6bq78HodH/JBv74F/eDm4xFl64iOCypAKj4jT PuDzy5elLKMstyzutsX+gJ2F9T7ePiZ7l9h+ELeMiooFvy3CIcomQT8nlqKp nbvg8ADbJD7auXPnio7LuHE2PnQk+D734TuDs7j4Hbc/C+c4kGvcA4cOWysN d8aOij0tzkHfxt4WhrKsD892Nkuui4pJcu+IOtyeAYWprytXSX5D7uGdcdfz KwqC78O8jK9ht5Xj71k9sFatWqa7nfcvW1ni2h2/+Ppf/co89uijYjcoSsx/ EI8A+PPxdaCHYkPv2qXLT3TPAwcOmOfr1BF7eJCsR79F5hIfGeZbC5R1Pnmd Co+AhxEPwhoV9tognoP65U6bJr/H4RHoWfhw+mVnJ2w0QeUqKo+I0z4giEcU V9vynPHjxok9ImjtS9wyKioOmGeI70Y/YM73I5lNAhw8eNC0adNGODyA12PX ZM018oPzrEnr16+f6L/YELANvPbaa6LzEpNEf8Uuiw9wzpw5ZsGCBcIP4LvY AEtznVNZ1IexBn/ANzl06FAzbNgw8c2G+REZu5SL7xZ1XL9+PWlsU7L6gpL8 htQbvkEMHr5pRWqg/fAn4EPfYPkg/QIZhr0B/wb6I98PMM6PHTsm8RPdu3WT eLgwuDWHYQjjES4mAb8J+1ng4zhuuYUDZWANCXIR2+dHTtbn6/3A+Ufoa+i1 XtDv4KlxZF3Qs4NkOG0ID6OtiC2Hl+G3Ye1rKjwCnv3yyy8Ld8Ku71DcPCJO +4AgHlFcbSucacIEiSHx7jHk1m9g245TRkXFAX0FmUHsUxDQNYnFrVq1qsxX fv6JPbVjx44SQ8UYpM8RS+TkBn2G+xs1aiQ8n7HBHEYMDz4zxjHjbtSoUTKW ncxDN+d9w4cPlzIEgbLQL9G14hzI5Sh+XBb14ZnEdhG3RLwC81FmZmaBtf9e YBNAr2OsRh3T7Fzo1p4Xpr4l+Q35dsyl/A53UsQHczZzNPsswue87ftZfvwC a0HhaG6tIHoCPgfiIYmN5Pv412kyTpA3HGFwPILv7eJqGFvoIsRbIofZp6JJ 48Zix3R9iWvgD9jIkd30b+RuTk5Own6GjYvYzcb2Xuxi9D23dpQ9MeAl9D3s i8g6t0c0MT3wI+QbCHo2e1Gz/ydrW9zY4n724MiwXBqbLNfBi2k/xiF92/X/ tnZMEisQBMbkW5aHNG3SRNY6MEZoT+wijK9x+TYgeJ2/DFxL2zVv1kzGtUPQ ecZWVPsAbFF8o5GWx7tvHOfeOG3L9XzXRg0byloM6kT/g8MyfyBP4pRRUTEQ ZYtwoB8h19rbvu+Pv2Oc9OjRQ3QgYmrQeVzsjQP3YPPrYsc14xA5hR4MsGkT W4xOTN/34ubNm3JdGH9167MPHz4c62DchnGSsqwP4xu7geM4yPb+/fsn4sVL EnHqC0ryG2KvUB4RH8gXfEas7yQe7tSpUwn7AX2I/oR952f//M9iE0CX5Rvx 2xdWVxxu2xr/P3oxcoOxj10IPZPvj6/rZsi6TwCP6Gn7DPou6z6R/ey7DUdZ Z3kL8wr3019YJ8BvxB7ANfEtskc0ZUFvJfaOeE3+pk7os/QvYvuJT8S2AQ/m uXAiuBN9lhie7OxsKTv3nDhxQuqKPY++duW3vy3wbPrvdatrz5wxQ55Ln3T7 OLBGtl7duhJXKXFilgcgu4k3we7G2CS2hHOsXQyyE1Lnc3YuYn0E8pvyMI7g 3fA2/B08h3bxlgE9jvZDLrM3Kdwc+Q3nCDoPz0nWPrQz9zKHsNaONuA5nKOM xdG2CX7UoYPoFrQN/BDfGvWFt0aVUVFxQB9m3mA+on+EHfQnxn+lSpVkH36v TQK9oq+dy5AD9F24fBDwv8PLievjfe4ZjC1kJnYzf/4Z53MP863jC4ADEcMR 50D2ESOUDGVZH3cNetH48eML2EdLCnHrC0qizsojUgfjEf2Y+b6XleX4kr7L 1wOYw9EJZ82cKfZw4hWIv2ced3YJ5ArrE+EB2KbRu7FPsM6DGKmoWBXHI3g+ eie2LPYHeHfbtoSM5XvfuX1b1phiD6eM+F6Qw25PZ+whxF2yNxbXuL5HH2Jf bmL70e+RV8hTxi73EMOArQHZTEwD76E/4negrowfZJX32XCpfZaXY7PH38G+ OC5WCu7AWpcMy63QuVljQlwgnIB5jz2gBr/0kpSD+NEwjkX7Mp/iE8EXzDPZ C4t1MnAHeAOxqN4yED+CLRLbDvewXzbfj7oGnXf217D2AdgFZN8Kq/fRRtiG XMxGcbQt45nvjN3hRctTsDthX2F9qes7UWVUVBygO2KH5mAeSHZge37kkUdM B9sf0FsdGIP0JcYge+qGyQv6FzorMWDr1q1L6E/YQHkmtrR0yD1T1vXBF8t+ M8zNpRGjFLe+oCTqrDyi7IBPAtsFPgy+Q9z+5o2PQJ4gf5LFMCH7uObHgJg8 3skzgvJF0L+woxR2v4Fkzw56F7YJ1wauXoXJVSg5Pm178kzauKRyYRSlfYra tt7nMC/49ysp7vco0hfYqxo0aGCqV68e+0Af9cYCMQdhz0KuhI05+tJHH30k dk9ib+DX+EqQOcT1cA7bejrsm1qW9WEu5rnEVjH2SgNx6gtKqs7KI8offvPZ Z2KPGD16dFpwf4VCUb6BfHF7sQeB86zPxK6JHCKujj3thgwZIvZV7I/z588X 3zq/eecluDy6TGnmLy+t+rjc7O53yU9886bYDbFBulyFJW2TiKpvSdYZKI8o X+Abstex873jU9e8UQqFoqSAjEJXJTaBuF0XD46/jfUfyA9sh8Q/EtdDbDWy FB8a8xMxYPgEw2xmpY3iqg+2BmIK8H8S5808TCwEsVT4FvCZsg8e/seyttGU VJ0BHIl1YzNmzBDfSlnXVREN/CD0U/zhxFawzitZjLZCoVAUBcSA408njs/F RyNDiOUijhcfyb59+4QnEO+HDEIvJR6HeHPixoPWDpQViqs+yEvimln7QKw9 czMxVzVr1kz4j4hlRG6XNUqqzgDbBOvA2JMfHqH75aY/sEf87a9/lVgCDr6r 2iMUCkW6wOm66LIVIS4nWX3Qz1k7FZa/ubziYayzQqFQKBSlDfR84t4fpji1 h7HOCoVCoVAoFAqFQqFQKBQKhUKhUCgUCoVCoVAoFAqFQqFQKBSK0gNrL1lz yfoXd7AW1+1T7vYi9h6sodH4VoVCoVAoFOz7deb0acl7RZ6s1atWmWNHj8p+ UHCFf/v6a7Nj+3azYvlyyelJTi72IS2pPA8KhUKhKBzQC5nTyRvIHF5R9mOs qPWqSPjhD3+QXJrkBie3CTm3HdiDnH06yCn53LPPmmXLlhULh3B7tSsUCoWi 6GBPZ+Tshg0bzNChQ2UPx71795bZ/lkud0VRc5GkW70UwcDuQF7Yxx97zEyZ PPknv9+5c0dyzzdv1swcOHCgyO+jf33xxReS/0WhUCgcXF5dfKfu8ObFYq7C 1+p+49rSyGUdB8VRdneNk5HcyzPCrpc9gfOfx36Nhw4dMps2bZLcEi+//LLJ zMyUv0sb1OOrr76SPKzkqygK/v3f/11yYATVi/ahXWiHKNBG5PDy75lMWfHt k2tYUTTs3bPH/Ovjj5upOTk/+Y3+MHHCBNOiefMC+Xn5duxhTn40voGfH9Ln sT/xjfh2xFZgm7px44aZPWuWyZkyRc65HHL+a4nT4BtzcA053DiCbFpxrknl HspDv3N55/iXayifNzYk6r1R9cK2Q/uxn73Lj+NtW9qLg2dwPWVx8Sxqz1FU NNC3yQ+1f/9+yX2we/duyQXt5njmGOYPft+xY4fkW+KedEBRy87Y5lpyOnAd YOyT74HrDx8+LHLQgbmFvFPIWHIToQtiO3Zc4+TJk6Z///6iu5c2mK/InVSj Rg3JaRFHzoeBuZF8WkH1Yo5EJ+X3ZPYJ5lXab5aVO+Qu9YI253uRf0NRNKTK I5B/5G1lrORt3Sr5W99///1EHjy+G7Yoft+2bZu5cuWK+ET4VuRYqV6tmsnK yjJ7bN9nb/Ogazdv3pzgkOQFfeutt8ySJUvkHvqWA3006ho/kt3Db7/73e9M Xl6e2Wz7FzlddtpxTJ57xuuf7diO896wNqBecACJTTlzRux1y+15YlSYM3g3 NiD6/RtvvCF57S7Z+Yj3wTWw4zBGL1++XGzfX6FIBzBm6NcDBw40//AP/2A6 dOggeqfjzMhacj2OGDHCNGnSRPIrpUtOnqKUHR0Bvz9zw1Y7nzrfMfMfNuCG DRuaypUri7xz4B7mEOadZ5991qxbty4x//Ib8wR2ZLhNXHAfHMDlvywMeAZc aNKkSaZ+/fqSz5n5rDgQVC8419q1a83p06dD+wI2EewY+ES819DO8LratWtL znFF0QCPwK8xauRIia30HufPnzfDhg4twCP4hmPGjBGuyXeBE5Oz03FfeLLj C+3btTOrVq40AwcMMOPGjZOx8Iu2bc3YsWPl+zK2gq7Fx0Lu+E2Wo8BV6C/v bNpkWrdqZRYuXJjIG4+sTnaNH1H3sOc6sr1+vXomMyNDZPYyy38G2fmBNiDu NM57w9oAO8zt27fNli1bzIjhwyWPLfXs1auXqVG9uhlu+zr2yfOWU/B+2tXZ BuHkJ06cMLNnzxY7hkJR0UB81gSrtzz11FNiy/aDfk+OaHh9uqGwZec8eSjn zp37EzsjMnj06NHmH//xH82gQYMK2DCYD7BDDLfziDeXOX9zfsWKFSn5ffCp MN9j/ygs4CHIeuqzevVqU6VKFckdWhSbhENYvbDtzJ8/X/4NWkuIfkbsH2Vy gNfBdyZOnCh2E+URRQc84l9+/nPTuFEjGQfeY8jgwaaR5cNeHnH27FnhFnA5 vueFCxdMbysH53rGB/lPemRlmV49e8pYgPsxBlzc5vTp05Ney9hCl59guSc6 OnKZ9w548UXT015HH+C6qGv8iHMPthZ4Q3bfvubb/LhT+C5y/ZVXXon93rA2 4Pm032TL2en38A74FTwEDgGoP2tkMtq0MYfy2x09gVy5W6zeolBURCALMuw4 I0910Phl7CxatMgcOXKkDEqXHIUpO/KVeRQ7RlDeSeT6YDsHt2/f3rzwwgui Rzhgj8AW/NprryXOodexpg67Bv7PVACHYY7HBloYMJdhd8Wugj5GfbBHxLFJ INedrQCZQrt4YzST1Qu7DfMnuqk/zoH70NmwD3ltM8STMIfD3bp37648ohjg /BrYC/gO3oMc7tgpvDwCuYf9npgA7HE7d+4UGTs9NzfxzM8vXxZuwb1eBPGI oGuRzej2He33R55yvG7/j+9ljpXllCvONX7EuQcbCWMXDuViHvAtZNn+hr0u 7nvD2gB+0bNHDzPU9l3GAMCP0blTpwKxrHATbDc59rmUA9vFxo0bxR+oUFQ0 IIfo///6r/9qBgwYELg27IMPPjC5dp5BTqUTClt2bI1Tp06VtQj+tQ38H72C e5CFTzzxhPzt5C3zAX4Nx0s4f/PmTbEHEAfg1sXFtUkUlUc4W8T27dvl/+hM PAubBD7toLUbvBNdDI4A90K24EtGb4OTOH4RVS/8RLS7Px7E+TRoX9dulPPY sWNin8AWrDyieFCY+Ihb9rty37a8POGC6Ny506Yl7isqj6AvTZo4UfwAYeMg zjWFuSeQR1hdg5gO7o373rA2YB6ZP2+e6dO7t/gv0CvgxvhOebcDfAW+3MHq IowT4ikYlz8WcS2VQpGOgFMjb372s59JbJAfyIE9ds5h7ijKXnjIIHwQ6Mhx DmSX25uvuMvOuMbWgJ3CD3Q19G/8rOgm6PWtW7dO6BHEHPI8dDmej76NHxZe gUxmvoC7xN1voSg8wm+LcGDebGt1oXbt2oks8YK5U2y/gwaZRx99VPw9xKbi a6hUqZLpZPUqnhWnXsRbvvTSS2JD9/IVfBrZ2dkSPwKwcxC3wv/pA8S0KI8o HqTCI/j29Gn0cvxffBfsV3369InFIz5yPCLCdkEMAXYq/FrI0/+fvfsMtqs6 84T/pT/013HN4HEYgxNuggCDQCRJgIQQGSQhQCJKCEQSApNzEBkRhMAmGkQW SeQgNxgMmDYZD2BjaGHwYAxd43G76616q173ftdvWevO1mafc/a999yre6X1 r9ol3XP22XvF5/k/Ya1VhvFuPVCTe6po8ptOPKLpe1u1QZpzJwQeIg+EfGFv mB/V+/gxJwTZwVe0JHDtx5fHPTIyVjWYV+T5yJEjo71YBX3OH0dXkTv8pexN n5unZJMYOr3qMg/reD7dxa6nv5pcfI/yobpV9jLM/U033TRyhSroTzlW9J66 8D3IvVi4cGHkNWxv9SAncA55CBtuuGExYsSIeImveGcd/Ebb0Lnp4j/gU5F/ UP7c1clOq/oiEjr5JPAfZdRuyk/H8NfKv9ttt91iGzSp17Jly4ojgpzFPVLu WDmmgS+oc8qhT/GhzCO6A+Pj3nvvjXmWxwedVuX5UWeGPt1mm21iHA/vviFw OXF748a4EMObPGlS9B95nmfoHz6KI4KNXX6mOTFpzz2jrz6N0TcCL6nea17Y Y3P06NFxzJhHfF5kB4659OmnG91TRZPf8BeSH3hEijvgyVMmT46cqul7W7UB GcCf5rf4CV5szNfZWOQkzrVRmEd8E+W1XxkZqxLIka233jra53X7DrBX2Pps UrqCH3Tq1KnRpqFv6DJ2Kh/2gQceGGOFg7X3bm/KnkBW4hXrrrtu1G1lkAX4 yCnBNkvrJ/gfrC2Qg4ULyeWsy+dsAnKNX5Udny6yiM7n4yh/7qKnW7WlsrqH zsbfqmjnk8Cv1HHjjTeOvpfkI9h3330jL2jqZ/Y7fozx48f3+Gt85tk4Apmr Hfl9rZuTY0Fuix3jHsaL7/P+Vr0HTs+exvfsZylPsOzDM27oRbH8kWH8Lgw8 1ffiSpuPGhXzKqMvK8xn+1TNDLoX39Mfxjw/nGeW9/9wv88OCLa8//Mbmi/V e41NMTK5h+PGjYtrJsQKr7/uurjOR25Gk3uq6PQb7SH2MjlwBv4w80I7JL8A GWXtp/We7d6rDq3awJzUdvKs5R+rv3Y2Fz8P95U5u3n0RJCH3nVVXuOcsQqD LbzWWmvF+F7dnktyjE8//fQefUZ309s+S+A3YMvuscceMV5Yh/L+Tk2uJvtd 9bbskGzx9dZbL64NL0P5rJuwNiuBXmTr/fCHP4z53vwTbPe+gM+VXcKvmi56 m+3OZix/7qJ7W+0plfibdfF14JPgQ8GXPKcs3/i29wx25YRgl5K7QB7KV+Xv bgrxD/5dZU9r4o0PPmNrZMDzrf3UdnwuLrkp1s1uueWWUXaTwxm9g3n2SBj/ RyzPoxSvxwnS+RofBX1nbaf8P/4Hfgm+d/zSb/Q1+9x4l2cY1zcGPmsdJM5h ju8fdPHdYXyl/T+80xpJzxQjwA9b3WsOW6uAf48dMybmNfKNybVNaHJPFe1+ o3xyPvhMlEfM58MPPohjUc6jdRz8MLhSu/eqQ6t6+Xf+ZZfFdTBbhfGLk43a bLPIxeaFuV3dK4WssHe5XKSMjFUVfOLi5BeHsV4FHUrul3ULn5546rx583o+ o0/4OsUgW9mWfBnsUP6KJhcfarv9rshK/oTelD2B/MMLqnEN9pXflNdg4idi GXIH+PlxjG7uR9eX/IhOvogE/lz7UJKH7Kj0W/YXPY4f4VVsWG0xduzY2EdN 82DwR3yH3YbveBb/hvelvHc+ITkUypEue3P89//+34tvfvObxaRJk2IeRsbg QX+bW4l7m7N0cJP91NMesk19junc0XY+pyb3dOM3/X2Guse9rRYvjvKJnw9/ xpX5JviGniytC9Oe5pP9J/IelhmrMuhU+y3RxWU5Yo7JsRM35c9PSPuusCnx BxedwcZpxyPoHHqPvmxyyWFoZ5eY0/R9b8qewM/JHmOvJSSfqd/Q0WWIueJO X/va12LeRjfRFx6R1j6ws8QJWl04hvLiQAsWLOjxCXnXqGBHLV26ND4v8UA6 HR9ounbVeg7xCz5kZUoxDbyhnZ4RD2ML5vyIjOEEfgz5JXOPOSb+33wiN/Bn PMy4Jh/NH3OB/5GdJjclI2NVBpuVj5ue5IOje+gV+9NYz1DNBTBPxLb5xC+4 4IJ40b32i2zHI4ZC2RPYFHKo7TWV8hnJAf5/sVW2e5mX0L3WGsjNsv9fN9EX HsEGkp/iEmdpd4nj4j9iJ+LfbKgjjzwy9lXa90H+yPTp0yMfYGfxfTeBe+U4 sMNATMMz7DXcDplHZAxHiFmIAe2+227Rf0cWsjn8y2fp3PY/BduHT874tj8N +djbPWUyMoYb5BEk+S8nj59BTgF/NXu/alf2Na4xFMqewF9hrquHWAZbmm0u z9Bz5E1U152pN/9FuzhCX9BbHsH+UVa5BWktRZPLOgzvkR9nj+uk+0FM3NpN sk/8uElcgw1GdvI94AV+Ix7Vam+vMrxPXoWciYyM4QJjnLy4IsgBuabWg7Nj zj7rrJ4z7Kxdc6aHHBLyKO87lbE6Ie1FJNZn7Kc1U1WYL/RtlUfQC3jEyogD Ni17Gexy8RD5EE24j3qxK/qzh0YdvFucpa9rQLqFdOZ4E2gD7W19rPz/tJ5V vrz2Hyrnr2RkDBTS/q91ueDpfM9uy4qMjFUB5g1bWF5d2u/VPGJfWlMlvw6n GCrnineCuAi/I240WGtVq9BW1pV161ytgQbZKB4ir0z8IuePZWRkZGQ0hbXV 1unZk8ieceL0uIScAXtK8J3LKVpZOrm3oBPlUFr3Yc+ejM7gs+D3WbJkSeYQ GRkZGRkZxd91Y3/O7V6dkNYMZp9tRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZG RkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGxt/3hLP+1h6r6bJ2 2bpcSGdZli/7vA739brqrZ7Vun2prqXzTPsLbWZtuDOLncOTkZGRMdgg+8gf Z546n8PeXasKVuW6DWVo8+efe6646cYbi0svuaS49ppr4jlR+oDe+zj0xz13 311cvWBBcfn8+cVPb765ePnll4fNHnGt8Pnnn8dzXJx1e9mllxY/vvba4q47 74yXc3FuW7SouC5898D998ezLroBY1rbnXvuufG9GRkZGYMJNhEd63xAe4cf dthh8XyrwTzPbKCwKtdtOOCLoFMvufji4htf/3qx//77x7OqE5zvYN/RPffY o/jhRhvFs2y7wSGcnbIy9zFVL+dxO6/3e9/9bhxzL7zwQjyv7xe/+EXx2GOP FWeccUZxzJw5xScff9yVd/JD2Md3i803j2fsZmRkZAwmnBtq33DncDnHwxnr EydOjP9fWUhncpXPRu8LhmLdVifwOzjnZK011yxOOP74L33vzBZnu267zTbF ww8/3O/3GTfOyXYm7MoEP8O1115bjFh//ehrqWLZsmWRT/yhxKv6i1dfeaXY a8qUzCMyMtqAbcleEUNtdfHvpfjrcIF60ZnlerCnkg4li9Upfefealw13VO2 s/3ec1r9hsz13UcffVS88cYbPe327LPPFgcccEC021cG1MVZp84Q/7if9hof s/M9U93LddM+2kU7tIM2ck5ZOiNUO/HZOzuUHTjcxttg48EHHii+vdZaxUkn nvil7/TzccceW2y37baxvxP0CV2sfZ25VvUf6U9zXf6FfpFvoE+cx3fWmWcW J55wQvzM+K+7V/6CceZyj3N5XHUxryb3VOFd/AN1PCLV7f+EcpBnxqExpvwu v/W5Mvq7nDPiX99pE2PbPUlOvPrqq/E8YzzCO3Bo5a3LOWnXvtrLb3yfzhn3 nOpe86ksnpHKUneObl/ar91vmpavyXPajYtWdUttl/rLM9L5qSkfKJ/rM3Rh rJMT5M2tt95a3HPPPcVTTz0Vz7R++umnoz3D9qEThxOMvbfeeiueH6Ze9913 Xzzn0/yGVG/fqzN54TcJxq9733777XhfgjHOn+o34rV0YUI6Q5utftddd0X9 +tlnn8X5wJZjIyrTyoB5ecMNNxQbbLBBcfnll3fU801RrRtZwHbFM1rFOcgO bXdm0E3i+mQKX7w49yWXXBJ98XzVTc6BX13RWx5Bfr/zzjtxHtxx++3FT3/6 0zi/Uy6BPhGr8r1++PWvfx374corr4znxNPd9Kn8g9dee6323kWLFvXww+d+ /vN4Luz8oO/9Rh8nGHud7qlDOx6BGz///PNRz6d7+cfkNVx66aXFY6EdnHl/ 7733Ftdff33xLy+/3HP+9/8O85xsMGcXLlwY/WzO8fN94hFHHnlk8V747Nbw 3XnnnVcsXry4R5Z0al/PYVc4F3BRkEXKsTjID3kX3vnn5Tmc5lLMfwn1EDNc ENpUHgx54/epbn1pv3a/aVq+Ts9pNYaMCxygXd340MgEfXXNNddEP1DKrSVf yC7nQ2YMTdCX/IHOA/+Hf/iHYuutt47zyHzT/6effnqx6667RlkynGBMG3cH H3xw8Y//+I+xDuRK4rQp3nr44YcXY8aMKX4e5kXixuYz/ab+tweZUI4vk5O4 1VZbbVX84Ac/iBwlIckBc2ujjTaK8oocceFiV199da9yyT2P/u/vWWKegw+x qbbYYot4/nu3ziuvqxveRd4/99xztbYUmS8WIsbtvHlj66CDDoq/I5v5rvfc c88VbOmMFYFHiGscecQRMbeyfMkZOOzQQ1fgETje0UcfHTmkPsF1p0+b1uMf w38TX9hl552La4I+PTj0iXwEY3ynHXcs5syZE/vOvKm7V4zlV7/6VXFL0KF0 qf6kd7cfP7646KKLIq80Fumadve0QuIR666zTnHmGWdE/fNRkF30nnl61lln raBL/f+KUN+tttwy6jP300c3hivJATyfvKPX/F87zZgxo5g5c2aUAXjElClT il132SXmcdJxsw45pBgzenTkCgnt2teYpjvlWUzcYYdYhqsCP5sRZJM+kheb 6nfbbbcVh8+eHXmMttxnn32KDUaMKGaHufLEE0/0qf06/cYcbFK+Ts+hR+rG BT+Wc5Xb1U086sXAKbxfuyWfKZnCptW3/BgZQxfGL7vjq1/9ajFv3rwVvqPH cEh2+3CD/LNjg1229tprR1lRhXHJXsG7q5/fGLgyu6POl0YHH3XUUcVXvvKV KHPKfgzjnl6dHeYLHUumyPkm5/jmegO+fTqB76M/0Ic4vTrR0esEOXzFFVf0 2yfRrm7k7/nnnx//rfpF2SDyA5WH34GcVp4EnAevOL4m9p/xd+AR/+Ob3yxG B95vjJcvem7rwHPLPEI74xbmsTH60ksvFfsGOX5eaezzOU4Ntvc+e+8dxzj+ bGynvM3TTjut7b3mDVv02Llzo87GTbz3oAMPLPYO9+lX93W6pxUSj+CHobvk VB515JHFgQccUGwzdmzUR1WbnA9BvfeeOjXqSr9P89X4fTi0x5yg/3GR9A56 E+fmUzN+J0+aVBwSeAUffmpL7y+Pz07ty1dBL+83fXpP/gaeTW+effbZPfd4 xvHh3WnNKQ7nXfQs9KX9mvymSfmaPKfVGGpSN+OHn2mHCROi/wjYUI888khc j5MxtKG/2YZs6JSXxV6nx8w1PB0PHW4gA3YI82C77barnV/GNj86np9At5IF /Bj8t3Wg2w8JsnqXYKNsttlmkS8n8EewUy688MLYdu+//37U4Z9++mlPzntT n4R76QE2UF9hzvIv8q2wO9SJP6KTT0L/J1+C8mqXcn5mp7rx25ATbNiy/9d9 7BL+ITYcWbX99ttHmZzkO25CLlX5Xcb/RYpr8Bdo3/L1+uuvRz9FmUeQ23Qs XcjO5penI0479dSeZ7715ptR9/ltGXU8ou5eeoVdulvoW/rAdXH4W+zlnKCL lKvTPeIL5pDYTLqMr6SP6uIaxjg/+A3XX9+j6xOM2yfD/Mar6Df3JZBr5we7 iU+y7DfzvL/V5Eck0JXGZ7nundqXD4fMwPFSPkE1hzM+N/CdQ2fN6onp8fXv sfvuPXK5SRtX0eQ3TcrX5DmtxlCTugFewvfFP64cfBc333xz5HQZQxvswy23 3DLqFr4p88jcFReo80sPB6iD8fntb3872rZ1a9+eeeaZ4tQwz+nXBP60k046 Ka5nrFvX4DP82e/ow+985zvx/6mdjHtxDe+mJ/kI8RQ8hl/HO5vutdANHpF8 EXeXfKeexyfBB1Wto3eyNehyZSYf2Wr0PT6S+EWTuokVaftybmmKaWhfz8Fl xJ433njj6DPCV/GPA4ONQ39l1KMv+RG/C7zP7+68447YxmzGU085ped3/eUR xsmPjjsu+rFbceVO9/BrKR+dny7rOXHWdvkRfufZfICeW/aBGWN0Ib3O/5DG vPvnBh7GH9FqDVMdj6ire6f2rdXT6dmhPYAcwmum7btv9PHjU+x/PMfvm7Zx b9u8afmaPKfVGGpSN8BV+IHFkcgPcoW8+ls/15hlDCzMH37zNdZYo5g2bVqc c3Sh/Brx/cEC/SUO4f1NLjynXU4/zktPfuMb34i5O1XQYQ+EOU82lmWOscvP wE9RBzYHPz4fKf6Ne7GnE1+WW+mZvuOr33DDDYsRI0bEi18Et+5Nm/SHR1R9 EQnkw46B8++8885R5ySQDdG/OWNG8a1vfSv6A9iHxwXZ8f3vf7/YPdgO6h/j zg3qJt9SnJmvPclpnHW//fbrGVvsRW02duzY4rvf/W6xR9BX4sytfEEZf0dv eIR+NR7pQnEtba59zfcmPOLlxCM6+C7EwPmfxKzogzKMZXmCne75/E9/ivpY jmK6xNL9th2PSOAH5w9IMTv6HQcWA5Fzwwefxnxqp3I8HtK6AuVpwiOatG8T PZ3m6wlBT8s1IZ/YKnRpb9q4iia/aVK+Js9pNYaa1C3dx787IchUvrYlwQZ5 fHncI2PoQkwK/xPrp1vwwwkTJhTbBhmEL4J5wV9qrtHfxpm5g/ubsy7PcbnH 3+aze+h6+b30WN0aogT6i11PhzW5+NfaxVqM+VmzZhUjR46M60+qUA96b1El 7mZ8b7rpppEn1IEdLpdIzqZ5w/cg/0Ket7qyvdWjt/sQR19qaC/6Nl3ai19D DmP5c1cTW6Tqi0ho55PAr7SLdsMV6CE+Sbp9t912+5L8aAe+rSOCPME/jI1y TKOce00G4bL4yNe+9rUou8jh4eoLG2joe3nQ8izFg6pjLcr70F/bbLNNjNHh 1Hz+4s7Gg/4WmxP35xtK9rs+YUMfEWRA+ZnG+qSgg/ma0/h7I+jN6r34pT02 R48eHceQ+cGfRXbgj0sDJ2hyTyuQN9YI4BHza3iEcWSu2+MzrcWgu24Oc1kd xBq0iZijueGdxr+Yh+cao+YG2UCH8rOlPMvjlutS6GknujLUvUn7Jn5OTye/ Po4+ZfLkyGWA/MCZtIv3sqvMgXJf9KX9mvyG7dipfE2e02oMNalbAh2Cs24U 7BS6qbwmLmNowjwjt60/kBsExtSty9f/gPnl76lTp0bOTZeah/zY/NN80Gx0 Fz82vkp+mdd8B+atWIG51a31hp3gXdae8C3U7ZdAT/FTlPMmzHe8Yt11141r oKow5smpU4KNkdZQsKU32WSTGC8lK/jm63I6O8Hc1d5s+HSZb/Q9/0b5cxcd 3W6fQmV1H72N11XRyidBhqqfOIP+NN/Jhn333TfKzd6sN/Fb8nf8+PHRX+Nv z8bvki+JLFGWCy64IOb4ytP5+te/Hve1yj6JL8P8weVwPPtZsq/LvjljgkwX ix4ZxuXCwEF9L6d181GjYt5f9FGF+WyfqplBd4hjGc/GMv+aZ5b39nC/zw4I 89r/zWnzoHqvMRfzXUJ/jxs3Lub8iwFef9110Y8gd6DJPXVIMTA5f+v80z9F rq7c5jZ7wtxZsmRJjJHJnU5rGcXe0p7WcX+uYON6L/mUckjF+8kKzzb/L774 4ijv8Ba8AD8wZulN7Rt9lmHeWItAh7oPV2nVvt6rbScHncwXZz56TrK7yVDP Xhbmod/L0ZarrY31pXnMT4Of9KX9Ov3GeNIOncpn7rd7Dlux1RgirzrVLcF7 nnj88fge78gY+uA3ZJfiCCnnPuVGpHHropfpZOtAE8xfdipftHiXscYuNyfN Q7INJzGX5c+0Q3l/pyZX3R5QZbDj11prrehfqdsrSg6wupR1cbLF11tvvbj+ uYpkN1uDlEA3sgl/+MMfRjnETurLXhv8irg3v2G66G22Oxuq/LnLOrZ2+0kl nic+VQcyVF/hTJ6V5jH/LP8vn1TKTzDn5avy2fYG5Ao/pvJrE2MIxyyfVUD+ i3vgG8aZ3De+Jn2HU+S9Z1aEefZIGNtHLM+jFG+ms9L5GtZBWnsof43+45fg O8bV/EY/si+NYzlycX1e4KrW8OEc5vj+QZfcHcYNOZDeaX2fZ/Jx81O2utfc lGuPV48dMybqaDa/fk1ock8VcX3mT38a9dy47baLYxQnENdRJnprx8A92dPG mTKzBayrSuslPWPBggVRP/mcvU2OmCdsIWs5xeWtV8QP6FdjXj0933Nwk5/8 +MexzNaJ0HfkCe7Qqn0vOP/8uFcCn472EpP68IMP4jyQU2idBL5Clsy/7LLo H7FWFS8ZtdlmkY/MC7KhN21cRbvfaCs5HZ3Kl/b2avUc5Ws1LvzbpG4J5IW9 3+VpZQxt0KHsFOs9yzlUCeksJnOKT0q8r7wulJ7g6+TPSOuW8U46wTzHXcUJ 6OxO4PPANeTwNrn4KcvrLcsgM8gQMX62RRXmq1hBnV4kI3GCurgGu8Lvyusw cRSxDPkD8gVwjG7pvr7mR3TyRSSQo+x+8z7l17IvrNvBjfAqXFBbyF/QP72J 1+CZOA/7hM+Df8O7yjnl5JPP+JUT3Iv/sXn4eDK6A33519J5mOas+d1kn/S0 P2zTszrSuaPt9oNocs9gQVmSb6E/z+hP+8b9nxYvjrLNHGDL4fLsd/6nJ0vr ytL7ett+3Wrz3jynt3XTXmQNPpftiKEP9qxcFv6Iqv1tnJDh9DF+n/YNEZ/A H1z0AQ5e5hEgPiKWLvcOp20yj+gceo/ObHLhJ634t3FL19snCo8ov1+92BXi lnU6ii+PTcGmKyP5Bv2Oji6DzwXHEttnS3cLfeURfBF8CNqej6jVhWMoLw7E Tkt5E6OCrbB06dL4rMQVJ02aFMdLb/bAkGPPH8yG9H8xDXmXZV2kfvbGYtMk jkL2ioXph7zeK2N1gLiSHAs+lrQvt/mAy5sPYsnDNc7XpG70C9nCxuObldM1 HPcsWt1AlttzTV4E+1O/0eX8dnycdK28G/Esekk/y5fj7xbLdtGp9oKs8gi8 Xi6iGLu8/JVxVgJbm0+EfucjozPpRBzHWoxWOQx4M27F75n4R9w7N4x3/n8x RLZ7mZvQ9+op/0ibdgt95RG4vjwWlzhLu0v/4j/iJ2Kb4sv6M+35IH9k+vTp kQuwJfjHm8L9/MXsDVzUM8p+B+APdo/9OvAU73UvfwTekc/ZyFgdwK8vDrJ7 sL/4/8hb9op/+TudDT9cz35vUrc/BZuQv1K8hCygX3q7b1/G4ENONx5A18vN pzvEsukR+cnWLFjPqG+haVyD3BfTsmZQLFwuH53e2/UL/YWYTNJdcgn5UeRD 8LPzVbSak8qvzmkNLOBR7HO5hp7Fd1NdX6V9+DDaxRF6i77wCO2srPYDSWsy m1z8R3wAzsko7y2JU8pfML/FIJr2I1uDjOB/wGvEour29sLH8A3v1T98Us7d UJZPunhuY0bGUIZ5Rd7Yx1s+K9nLDjr7rLPi/OjvGb0rE03qJp7kTA85OGR1 9kOumtDf9GiVR+AeeEQ6S1OswH6OuETyYfBtr6y1O2kfJbE4Y7PJ2U/id+Ih ciGaxhHVH3/uJl/ybnGWvqz/6CbSeeNNoQ20OZ+U/BvjQs6a9m+1ltPnxpP4 R39i1BkZwx1p/9jerI0aLmhXt3S+52DbnBmDA/3OxpUvl/YrNQ7YqtYEpTw9 eQJsZ2se/nP5umoxemsCxBLEBobL3OBD4VvDn1aWP1Fb4V/dOlNrMKDfxSbk T4lh5DypjIyMjAxrkq0PljdpzzN+alxCLoD1onzi+AJftFi69RniA3Jq5F3I u3eP9d3DRa/Qh3iRPFMxoIxm4Lfg+xlOfZ2RkZGRkTFQoBf7e2736oS09i37 JjMyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIy MjIyMjKGE6yHsa+JNdmf/fGPcW8Wa7GttU37ndjTx76r/xbu6fZ+iOl8BHuv OWNvKJy11Vv0tn26VWfP8VvP0G9DCQM5ZjIyVjeQxc4BS2eS5StfA3UZZ032 WU2gh+gy511feumlxUUXXhj3kH344Yfjea3OPQJ6ynnfF15wQc95Kd0Cffr+ b39bXPeTnxTnz5u3whmuwwW9bZ9u1RnfS2cH2HdnKGEgx0xGxuoGsvjUU0+N 52fnK18Dedm/zd5dTUEP3XXXXXFvN3uGOvPoiccfLw6dNavYeaedikcCn4A/ fvppcdWVVxannHxy5CvdhL3L8ZiZM2YUO+24Y/GL55/v6vO7DRygui9ab9un W3Wmq+3rt8Xmm8ez9IYSBnLMZGSsTuDPcyaVPcDZd/nK10Bezll11m5TOKfk sEMPLWYcfHDxv0s2o7NTzzzjjOKO5Wfrgb3VB8o/bX+2hQsXDnkeYV9/XMuc rqK37dOtOr/6yivFXlOmDDkeAQM5ZjIyVhfw59nzu5tngGdkdAtvvPFGMXWv veKFUySZL+b+85//vLj7rrvi3+IfaX/R8vlo9IQ4Cvs6nbUoz6K6D2nKwWA/ f/7551GHlp/jd9dec82XdKrfsf0908V/0g7K4x7vp/O9p6484HvvVSbztJyj UH5OymOQf+AcoLPOPLM48YQT4mfJL9GqfVK9PT/VO7Vxt+r86quvxvMN8Qh1 kpPgd/qlWueUT5HK495qf3Zqv6ZtXNcm3RovrdCp7Xrz/lbPqRsbyuc3ncqd xpyxlPKQ0plinlceUxkZCc6qdC4I+ZORMdTgPNrjg/5Zb911i7nHHFO8E2zt JDPJNbKQjCMXn3vuuTiW01lvZOJHH30Uz41ZdOutcaw7r1msXqzkz8vz/shJ MvP5oCtvuummYsFVVxU33Xhj8cILL8Tf02V1OtXznS33XOAzYi7z588vHrj/ /limOpDXy0J97glldGb8u++8E8t11llnFYsWLYq+9aQryHrnCd93333R5yIn 5Omnn47l8Bw+Hd/deeed0TdzVSjzlVdeGc+dHbH++lFvK8vbb7/dsn3oGz4e 5/RpD74H5+06ayfpk/7WGRKPOPLII4v3wrPlJJx33nnF4sWLV8hLUM747FDO W0O7iIfoO+cHpnp3aj+8oEkb17VJN8dLHTq1XdP3t3tOq7Gh7vR/p3Lrj8cf fzzmIjmHki8pcTE+rhtuuCGeOZWRUQYZYmxkjjm4MDfNaXP+D3/4Q0ebbjih m3XzLPJr4g47FD9Ye+1ix6DT6B82WDpPl/x74IEHil123rnYbdddi1/96lfx czKRvBSb93vjXDxcjGS7bbeNugbwETrn8Nmzow71+3322afYYMSIYvZhhxVP PPHEl3QqXaJ+twT9Ts/j4fTj9uPHFxdddFHt+oZPP/20uPjii4v1g54fP25c cekllxTnnnNOMW3ffYuRm2wSc5TS+TZylo4++uji8ssvj7qBv3D6tGnFgw8+ GM+lT3xBna8J+v/ggw4qjgk8i/5Vxjlz5hQff/xxtB9btY+cV7yBPvF/75wx Y0Yxc+bM2G/dqDPgEVOmTCl23WWXmLdJP8065JBizOjRkR+V20dZjjvuuKj/ /hTKdPXVVxe777571KN0Xaf247Nq0sZ1bdLN8VJFk7Zr8v5Oz3EWdd3Y4J9y BmOncnv+i4FXeL/xZgyBufazn/0s8jH8KyOjjJdeemnI5VGv6jAnyQIyw1n0 h4U5TD8Mx/WEVQxE3XCJ14IuIuvWX2+9YsMNNyxOO+20aK8lnyxecUnQGWU9 CWx6cni/6dOLP3zySfyMDUpOnn322T33yMHg90h+dfqYbJbTAVWdyl/A5jt2 7tyo3+j2X/ziF8VBBx5Y7L333tEPUIfXXnutmDxpUnHA/vtHvQnkO70/Yfvt o88BPEuZHnroodim5um+QeafF2xTSPGefcK72NLKQ7/JYd1zjz1i+5RRbR/t 9nB49pzAVbQj+D1dJf5AH3erzniEOh8S+IlypPppX7m3oDzqquz3BBs8Qd28 z+9xiybt17SN68ZMt8ZLFU3brtP7mzyn1dhoWm484fL584sdJkwoHnv00fgZ 7uVs69sWLaqtX8bqC/LZGLz55ptXdlFWK7CF2JdsQT7bk08+uZg4cWL8/8qC sUCu9DfnbCDrxmbmx91m7NjomzjggAN65C9bjuyr8oj33nuvOCTYvuzf5Bep 5v2Ru3tPnRrXgKQ1qXy7ewQ7+OHl60GqOpX8Zv95n/e6Lg5/n3TiicU5Qd63 WifpXeQ7X0OCNr/33nujHcqXD/qCn5qu4xvgg6FLTgv2NLz15puRVxx5xBEr PL8Vj6i2j7a0nvPwww//Ur7E31rkR/S1zuX8iHI70Hup/Pz0F5x/fiy77xKi rgtjaYsttoi2dJP2a9rGdWOmW+OliqZt1+n9TZ7Tamz0ptz0gn6Xf68c/Bf0 BH65OsNc0XbtLu0lvra6AO80jhI/LyPlIJXtSJ9pI2NZnJHOSL7l/sAzzGk+ tLIe83/xFn2jHNV30X2p79zn74FEp/pX6+FS7mq56AfzMf3WGgY6kd2+MqBe 8hAeDbZH8mP2Fd2sm2ewpdJeU2Aek3HszX/6wQ/img3t3CsekfTaccfFv/Ul ncr3zacrJsPmo2P9Hqo6lQ3v9/zFvZkDdToOzEF+eDkOoM6/e//94sEHHiju vOOOaDf63amnnBK/7y+PUH75JvwRrbhjt+pcxyOq5f9o2bLihOOPLybtueeX /Bp03KYjR8aYR5P2a9rGjXlEH8ZLFU3brtP7mzyn1djoTbnJODksYlHymeVU iEf9bTVe22JOiv2JsZGV7CWxMfyWfPO3f/HVtK/N6oD3g5zSJnx+ZSS5bD6n /EufGYdykoy7/fbbL8bhjL/+6m88gJ25bxjf5T3v/F8OED8nvsNmSTCHjHV9 pw70FRtroNCk/tV6kMPW4NGrrfz6dLj4/9y5c1fa2COvxGI32GCDGI/vFh/r b920mTFoH6My9AUfqxgHH7AcgP7wCOXkMz8hyGa6LMmG50trFKo6NfnJ999/ /zgOy8BpW+XatdJxjz/2WHy29SfGNruS3r322mv/Htd57bVi2rRpHXnEy4lH LPdbJFTbB2887thjV4iBp7YgL9WhW3VuwiPM3XlBb4k7LC3ZNcpjjxD5AXIF m7Rfk3vq2gS6NV6qaNp2nd7f5DmtxkZvyu1e+RD6Q97NkqAfH28Rs1ldIPfk pJNOKrbbbrvi/PPPLxYsWFDsGXjvf/2v/7U46KCDogwVxx07dmxx/fXXr+zi 9gnRH9lL34C5o75le89z+FHN2dtvv73nO3FGenPChAnFpGALjgz2wRprrFHs EWRWf9d60L9yij2rnL/tc7bIVlttVfwg2J5ssnI56Wq5yhtttFGsB7k3UGhS /7p6+I4fVYyzbl2YMt9///0xn6wbvp3eQjvS1WQ83/FOO+3Uk8/fX/S3bviC 3C+5ceVxkWTc1mFckKnkp+/nh/5hP5VjKPyxcgfJ5eTLlVs8ZfLkqEeB381c 4Lclsz/55JPYV+V1dmkvhR0nTox9ye8ih2/06NHxd+R3ypXDfZfW+Pgg6Thr FxJf8zvynJ0ohq2cN4TxLD6Nh2mHF198MfpgxIm05RuBZ3jOEYHTlsup7mx6 /ujkE/N9tX38zS7Xhrgv36QYunGuDYyJbtU55Vket1wPg5z/WH66bnmsnn6X e6lcaa74nCzi18etmrRfk3ugbsx0a7xU0bTtOr2/yXN62rYyNnpbbvwSH91o ww2jb6Jsx62OMK7Mh2R343zsyY033jjaucBfpH17s9feUIHxgc/3tp/lbpEh ZZAnN954Yxw3aQ0HWcTep7NTPjl7xjxdc801Y350f9CKRwCddtRRRxVf+cpX 4vwi6xLIU3pq9uzZA8ohmta/VT3MWfzVv+U5aw6ztfE1NvXKAJuHrtLnbN91 1lmnuOKKK/rtk+hW3Z566qm4byW7WP4mOcou0M7yLvgQldU4OeP004tx48ZF X4U54XPzeXKQweY7fowXJztLHig5bJ2g/EXjyHjyTjKZL+nzMKc8S06bPLdt t9kmrrEzN+hWOWreKa9ertr1gTPijSmfsIoUo2YvWpNozr4SZLu1fX5rfBjj N990U7H5qFGxXGxI6wC92/6SZBV+hfPJr/OMpHfd6zM5hv5PV/w/oY+r7aMd tA1bfOutt451o6+NZXzdWO5GnZXL+MKJZs2aFdvbu/nKrSewlsBcUW/+UVzD Z9rE8/ix5AP8JMipyJ8atF+Te+rGjLnQjfFSFyfyzk5t12S8WvtpvWer5/CZ klV1Y8O86U25tbe9Y73rquWxoNUZOHY55qadf/jDHxa7BB6afHrGh/m5suR5 X2Fu4wNs5bo97FrB2OLPkg+XYBzLmT744IOjHzWB3U8nkEtlGL/0Dr9Xf9CO R7DD+Pn01WabbRbnVLlc1o3Za3kg0bT+7fwqZDPbOX0ezy8IclOfGZ9pL+PB 9EkkP2daV6/PyZ8mPgkyp7x3j7GT5FA362adBn8uP6yYv3VsOC47liwkZ/UP v6txwqePB+EcPpdbwD7fP8hluQYfBlvC+iT+bTERZaRr2aVs86223DLq71Fh rNGffO2/CXbHo0HPWG9A78oHVD/9Kp9dvuDYMWPid2zpdvG1pOP46dmVfDX4 6V133rlC7Eu/qOMOO+wQ7VCxPfl0dK99pi679NI4J9SLHZ/WJaizvES5c9rN /GnVPt5n7+sDg77hB2CXa19j9C9BHnajznzv+Kmy0mv4D36CF/jtgQccEHWV 8WM86p9LApdRdnPb/gYPLO/npu3X5J66NvG7boyX1BdVdGq7puOVLdPqOd69 MNS3bmz4t7fl1ib6oxpbXN1hvPJv/bf/9t9i/KydL2qog2ymV3cOsmX7wFf5 /ZruA8GuowfL3AOnEv/Be6v5jnX5p/KW+NfI9f6glf71XmXk19Zn3/nOd+L/ k/7iAyQf6tZrdxNN69+OD7G/xNDk4Sg/O0s8TdlxXJyOTB/MfSSSL+Lu0rp4 uVS4EblUZ1cZX/QAuaLc5DL+zdai+/zdzbp5XvIBebcxSo53Kx8at4n7/Sxe HH3b/Ez8wuxCPIV+ebLD+FIW9keTta3l2L376Y5W+yCmvRYT/0r3d1pT4373 luOVncpvvPbGp9ebOvcFac+kal5fk/brTRv3FoM9Xrr1nL6U2ziT04xb5v2F VgTORhd997vfjbKuL9CmZBmbrcmF5w3EOhBjQbyU3B8/fnysT9N1Oe6z35ln JERfY+Cx1lR3gnnJjpVTwj/WH7TSv7gOv7i9CHAkdjK+lOrIr8RG5f8bbNTV vx2P4Du0v8+xwbZko5m39kEYMWJEvOTuDOb626ovIkHsxV5PuGl5bABZFNe3 z5hRfOtb34p+YrFbvujvf//7cb8g9VzZdesNcBS5CNYupD2h05nZ9A9OVPbN 9RfyGtjKYnXD2YZZWWjSfgPZxoM9XrqFpuX2OW5Cv4n/szH4qDNWBK666/KY YMqtIR9xcfLdRe+X1w1UQZbiIuRpk0t8r9PZRGmv1k6Xsqa54V/2Ot3aSk63 sqXVXTytzNPl72666aZRb3eCWNs555wT9XiZq/alHq30r7EtXqOs4k58D2uv vXbMdVEntr1+aCcr+lKeJqirfzse4X5+arq2L/vBdbseVV9EQiefhPFirMkz xResfzKn2H7O5KzmkA91xD0mw/zcPZTduJeHhgv51/h66sknG9v1ncAXKrad Ytfaqlt28uqAJu030G08mOOlm2habhyC7SZmIr59wQUXDLtY/0CDfJVXyXay H2jy42ljtjl9T2+dcsopUZYOFshqtrd+7XSxxdN+7PxZYmds4vJat1RX9WNf 8itX51J1H0v6h2267rrrxv3d24G+5B+jwz9Zvudaf+pRp3+Vn52vL5Jfm/9h k002iWMcl5PbUc7v6Fa7dkKr+rfjEe5jt/Mb9XYvl27XQ9u6V6yozpfTzidh rugTOcrkjXrxj1rriietjDUn/UGMyX/4YXHF5ZfH3ESc3Fqus886K/LXbp4F qV/4DOUhWG9pvfLK8KUNVzRpv4Fu48EcL91E03LTGc70kF8jxr267ztVB3aj 9Qlf/epXe/Y4BX4bclC8HSeTA05HtMpZL++P1OSq20OpDHrS+kZ5eJ0uMjzt YcrHYW3+1KlTe3Rt9Zly2q1VLOcIsuVxi/I6ymRnrrfeepFTtYLfyt2yz0B1 T4C+1qNO/2pfuWX2c0+gs+yjK0dW//FPlPe+61a7tkO7+rfjEWIH1m1vs802 vT7nptv14IuQr3DX8nX0VfBJ8PnglOpTlo3iS+SPMZXWNuF78gHl0w1npHzR geJCcd+00LZ/XX7ph+yPaI4m7TeYbTzQ42Wg0KncyfeZ4271kB9mrZ79dvjw QVvZ0ws/46sw9uRyWQ/TKu+IX1r+ifubXPheeb1it+C51mXzraczYRPsWyB/ xno+epcPPsU35IhY5yQfogzt4N5WcQ3zkR8AzxAXTzAm++PLq9O/uLM86/Je +8Y9Hxx/kvg7jjGY+T+d6t+OR+B89Dx/a3/3jOwPOvkiEtQPB5UvIyaTfouj 2K8Dn9MexpTxwidmTmTZk5GRsSqDL19+PVvKGqaE5JclC601omfb+afoBHJY 7KPJhbN0e69F8nrJkiVxDTHffvUc+QR7Zthja9ttt+3RffwufNLVnA1rP9iV bO0q6Er6R06FmDgulc6w97z+7MVY1b9prbUcUu8sw7vs6/e1r30txqEGC03q 345HGG/Wz1sXvjLP9vRu/gMxLTknrS4cQ/vibPZtSz4443nUqFHF0qVL4/P4 Wex5ZG+udL5kRkZGxqoG+pW8pwP+y3/5LzHXTf5Nss/JSP5a6/L49eWMlc8I GIqgD9jrZDpOgyPUcR+f4RtsSHpZjMWaPXqkGrexLsheCPKcq+s+6Up+eTYq 33m62Nji/nIX+oqy/rUfixxXf9uPhS1cLgtdZu9KfNCe2IOBpvVvxyP4jqzT l5u4MoEz27vSJS7U7rJfDb4mL5kvL+29ZY/eVD/rOqdPnx75kTrKrcjIyMhY 1WBPL7pWfp51aOK7/OXsp7JPng5jb/GZO1uo1Z50QwFsRrkefCj+reZHlEEX 4wbWqMiLaHVWOF7FT8HeL+9D5F1813Ic01q+dIkR0Un9iduU9a8cCLYu/5A8 PzGE6r79ckr5TAYrR61p/VvxCDxWPMa6z5V5fgs/j7bdcsstv1SPdpd1GHww cmzk45S5kPiZtazmlvUfOa6RkZGxuoGfgo2WdJWcCDpqzJgxK/Uc5yZgmzfx I/Or0AN8EmxMORt4VR3YnPbG5esYqD1mqmhnx9ch1Xuo6axW6074eawDkqsy 1MrcDaQzxzMyMjJWR4hv0KnWKvBbWNcm79za2aHsj+gt+F7437/3ve/FHDk5 ca0gRmLdMB41GGuhe8sjhirq8jz8K9+VzyjvCZeRkZGx6oHstxeP+C5ZL65h 3Ww6v2tVAZ0mn8C5mXLw28UE3CsfwD4S1TPFBwJyPeQ8iCW12/9rqKNaDza6 tZHyUzKHyMjIyFg1kfYGJfNxCnGOgdjDeihAbr19F+SRNtkvpXy2wUBC+8tz tY/HcPaPV+uRzkdYFWMZGRkZGRmrH9KeZnItMzIyMjIyMjIyMjIyMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMsA+OfaXsndR+bIWwXq8uD90TU69NQ32 p/q3L74YsufBVjGQZU5rW7SdsyWG89qKVuhL+9nnyzjSJq32BVsd2i4jIyNj VYW9gJ75538ubrzhhuLSSy4prlm4MO63bF2/My9ff+214l8//DDyiv8snalB 3t96yy3FhRdcMGz2RxrIMtOD7//2t8V1P/lJcf68eXGN46qGvrSftZ3PhXF0 ztlnx3Pe6rA6tF1GRkbGqgz7Vs4777xizW99q5g+bVrxs6VL47mH9g06dNas Yp999imuv+66yCeSHfrHTz8trrryyuKUk0+Oey8MBwxkmfl0nnnmmWLmjBnF TjvuWPxiFVw/2pf2c5arMyc233zz4qwzz6y9Z3Vou4yMjIxVGezBO++4o/j+ 975XnHXWWSt8x+684YYbii232KI46MAD49lDae8gPuvhEtNIGMgy89ksXLhw ldaFfWm/l158sdhj991b8ghYHdouIyMjY1WFHIi77ryzlkeAszUuufjiYsMN NihOO/XU4t/FOAKXSHsS4iEJ9Iw9kNmYnmsfTP5wfycd5P/2xqQ7yuePe6ZY urM7XJ5Thns9z+/Tc9xX3RdRuey9nGLyKd7eqsw+dw/OpFxyAMrfN323z669 5pov6cJO9WpX5k7flaFcyuNeV3pPKm/5s5QX45nqXX5m6sPUTilfplX7dXqe M1TxiDPPOCOeSeIe7VDeD3ug2i4jIyMjY+DRiUfAK7/6VbHbrrtGOf/ss89G mf3cc8/F8zfSOdqe42yK++69N8bRf/Ob3xRPPPFEMX/+/OLWW2+N51E4M/OB Bx6IMXY5GR999FHPb/EVsXRnefjNA/ffH/V6+t69zrVYFJ7lnMjF99xTnHvu ucVdd91V/Hn52RN0zhtvvBHvu/2224o7br896jG6tK7MPo/vDZ8r43XXXRd/ 6xwuuq03767ThZ3q1a7Mnb6rgg792c9+Ft/hTFJ1oId97vwQ56G/9tprUZe/ 8847xX333RefJ2/h6aefjuXHD37/+9/H7+TJOA/b+Vq3hP4Uy6i2H7R7Hijv 7oFHOAvtxRdeiHk4Z4dx5rzwdN7bQLRdRkZGRsbgoAmPoP+PPfbYGN9w5icu sMvOO0du8avAMYBNSPeM2267Yvvx44sFCxbEvE3+7G232aY4fPbseD6080Od v73DhAnFRRddFHUd3XVL0D/0gNgJHuIZvk++gptuuqnYYvPNi4k77BBjLWL1 Mw4+uNhu222Le4JuA3py3rx5xcsvvxx1072B01wZ7uNjqCuzM0wXBD1Jx9GZ f/rss6iD6T0cga3b9N1VXdikXu3K3Om7OshR3GuvvYpJe+5ZvP322/Ez5aDX +ZLU5a233orniDgDHm/AMeTF0OtyZZzjPWL99WNb6b+DDzqoOPzww2PfVdsP 2j0P6PVdd9kl/la+5WmnnRbLN2qzzYrLLr00coGBaLuMjIyMjMFBEx7BLjz/ /POLDUaMKK4I+oIdeUmwK6s6ZVngGz8KOnmvKVOK9959N37m30Nmzvy7bgs6 B9j0Rx91VDH7sMOijmfLHjt3brT76TJnd8vH2HvvvXv0IZuX7t5v+vTiD598 Ej9jH9PtztiCJx5/vNh/v/2KF8Lv6RrPe/HFF+N31TLTec6N2nOPPYp77rmn pw5sbWWZPGlS5BZN313Vhez0JvVqV+Z239VBzAHnweVSnXwmd5aOBWU47NBD Y93FMOj5fffZpzjv3HPj9+z7qYGL7BPKqC3UwzNa9Xmn5/l74sSJxZFHHBGf A2+Gd+w9dWrkF4kDdLvtMjIyMjIGB014BLv9nHPOKTb+4Q+Ln/z4x9GuvXz+ /C/pFHL8hOOP/7u+XX7+NrvyxBNPLKbtu2/8P3z88cfFKaecUkwP973yyivR xvQsz3RdHP4+KfyG/ZrWAb733nvFIYccUswKV4qTvxp+i7P86Ec/in+zT6cF W5iOomPwn3RGabXMvrsgcCM8gu5MoI/YvltssUVx2223NX53VRfSfU3q1a7M 7b5rBTEo5eJjYeuLL+nf1PbqJzaAF+ijxYsXRz7EXwFvvflm5AH0fhmt+rzT 81J+RDnP0rPEKfgkxEEGou0yMjIyMgYHTXgEv7K4xPhx44rHg7zuLY84+aST VuARnwSbnp6hr/jc+TBOPOGEFfIuq6jV5a++Gv34fg/s3fvvvz/GTDYfNSr6 0N9///2YB1Et80fLlsWylmMACQ8//HCx6ciRMebR9N1VXcjn0qRe7crc7rtW oM/FC+juF154Ia6XwIsS2Pq/C8948IEH4jodeSF8D6cGXge95RGdnlfHI5Qf 3xi5ySYxdjIQbZeRkZGRMTjoxCPoiUceeaTYZuzYYs7RR/fk5HeLRyxdurSY M2dOsf/++0c7tAz2tLgHNNHlbFHrSd4MunDuMcdELnBE0IfyHqpltreBfTMm bL99sTRwmQSx+UcCj5D7sGjRosbvrupCeaVN6tWqzMrXrj6toPz2YxAz4AfC iX65PPeQTmbL86HIc9H3yabvC49o8rw6HhHbOIypHSdOjPGLbrddu/bJyMjI yOguyGK57njEmSVZn9Y6ikvPmDEj5gs8/dRT8bvol77ssqirrAtIWBZs/OMD jxCv+GR5HgHucFLgEfsGHuF78N2pgUfY48rv5fCPHj065mDSESm3kj2ddPy7 774by0GXKxeIiUyZPLk47thjY3n5TZ4NOhTkfcq5o/fEz6tl9o6777qrGBPe 6760ltHn+IPYQPKfd3o3pD0Q6Ea5E3z9ner1n23KTJ+2q0874HNs+c023bRY ePXVPWsslf2G66+P9vs///M/R7tdPoG+Pfnkk2MbvhHqzJ9wxOGHr7Cetq7P mzxPXXdfvu4zARfjt5Bz8uHy/VK72Xad2icjIyMjoztgP8pVsA7z22utVRx1 5JHF74MOoufZhOxy+kSeJLuSXvEbsv+M008vxo0bF+1KXMTn4gNyJ+lXOYp8 Gf/zf/7P4sjw3D322CPa8PSB3Ev2ptyE18Jn//yzn8VcfM+zFuKxxx6Le2ha h8lP79m//OUvi8nhufvtt1/0dXi2dY78CYceemjUI3wb1hT6TVqjoU6/DuWq KzMfuDwCaxLkFfid9Qdi8/JA6MEm76bf6G45l9amWJ9Id9OJ7erl+a3KrN1a fffu8hzWVsCJ2PnyFNJ6EhAHuPmmm2IMQB6kPrKWVZntJymeYK3uTjvtFHMa 5Rt4Vqs+7/Q8bYKH4pD4ljwbdTEOxF6sn8U9ut12ndonIyMjI6M7EKMge+1/ zY9Pr8+dOzfGHMjnS4Oslw9RXrNPXy958MHo53e/fY/5HHwuVn3A/vtHP8Pt t98e14s6q+PAAw6IawCsHaS76SG6W36cvQn8/rFHH425+GPHjIk2Jdvys+X+ 6bim9I47Yi6D/Hyx+A8Dz7EnAl84u9aaBHqF/pK7Z/2hf+3xTc/XlRkv8hz7 bIlPuP+mUEa6DFdo+m5rHMUP8C1ll7+pnuz1dvWKMYhgx9eVmX5t9d1/1pyd VgWdzpZPsaTy53z/OwSOQbdb1yGH0bpMsQf6fZdddol15a+h+1v1eafnXXPN NTEPhb8Lv7zwwgtjHfgw+C9wgb8E/f9oGA/dbLsm7ZORkZGRseqBjdufPQnp j/9v+T6auMPfepFvxwamL3vzm6ZoV692Ze5PffgQWrVj8iWkHEb3qXtf8xOb PE95cIa0P1Vvnt2XtsvIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjI yMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIWNUQ 9/T6y1/i/lztrv8o7Q02XGEvM3ue/9sXXwypc1yHSrmMBXu72cP+j59+2nP+ T4K92uzhZu9ie8MNFQyV9svIyMhYHWGfevvV25vdPuY/vvbaeGav685w3bZo UXFd+M7+7r3dP3Sogf5z7r0zgOxZOlQwFMqFQ/zrhx8WDy1ZEs/jc+7uww89 tMK+8M7Ee/nll4tzzz03jpehgqHQfhmrDthLzrLAo1td5oL9kavwXTpLytxx n3Om/9f/+l+R6w53Wywjow7sN2fZH3PMMcX3vvvd4rDDDovnoDpr1blozjQ7 44wzimPmzCk++fjjlV3cfoGN7Zy2U04+Oc7roYJ25SKP0hm7AwlnLF57zTXx XBn/v/jiiyNfSGcDAX3tbLstNt888oyhgqHarxnDE3xuzn9+9NFH41nSznly 1pLzNJ9++ul4/pXzv954440Vfmeussmcde58UmPx7rvvLg4//PB4Ludll10W ZS3OnpGxqoGf4dprry1GrL9+cfn8+V/6ftmyZZFP/CHMjeEO9sBQ9H3XlYu8 cVavc+gGGt7hXET9DMpCLlbx6iuvFHtNmTKkeAQM1X7NGH4wjsi8E088sfiH f/iHYuutt45ngN57773FokWLitNPP73YddddIy8oA/8+OXBZtpizJ30/YcKE YtKkScXIkSOLNdZYI55VjqN0Al9G9l1kDCc4F42dWccjUsz8//z5z9E2Nbb5 7nxmvvnXWeueUT0b1d9sad+7+PgSPMfffkdfycGQp+E3Lu9i/4q7+DzptFQe 8XmXZ8Qz1kJZPMtzWtnv7kvnwJV1ZG/qVG4X5SqXQZlTPkkqQ5Nn15XL88kb 5+aeeMIJKzzTvd6rfZqcRZjyGvj8tSf/avk9/mZ3Oaf53sWL27bhq6++Wuy1 116RR6Tfqo86ltuq3TvrxkBqz2rbNLmnv/3abrxlrJ4wRpwJ/dWvfrWYN2/e Ct8Zj88//3zx0EMPrfA5P+7+gYuL+T377LPF/CBLjSVwXvmRRx5ZrLnmmtHX 1w7GsrOoxUcyMoYL2vEIHNucoQfI8Y8++qi44447ikVB7/zud78rFt9zT/R/ 33XXXcWfS7l37jUPnvv5z4sf//jHcU7JsSCnyWh8/b777os5GM6Lv+qqqyLX T2fleudNN91ULAif33TjjXGOeveHH34YfYeXXnppPEuefZz0C5v6hhtuKN58 880v1ZEeoSeee+656Gv0nFTOpnUqgz565OGHiysuv7x44okn4vPJittvv724 8oorimefeabRs1uVy2dXL1gQ+4Te1nZvv/12bB/+VM+8/bbbijvC+1566aWW fev5sR/C83EF/ey3//Iv/xL1qvfw1YprbbLxxsWpp54afbbeVYfEI8jE9959 N+YlnHfeecXiwD9SbkKnd4IxsCy01z2hzreFerz7zjuxjc4666w4DviEydNO 92jj/vQrDtFuvBn3GSsXyTYfTPvcOOJX2GijjWIcA4xrY9LYpefJsASfGaP8 FD8PMk8eEblWBl/fOuusE+daK5jf5jNfxmD4ITMyuoXEI9YNY/zMM86I8vOj Zcui7KUXyW36n54ga8XHJ+6wQ9TZ4tIzDj442rLkPZj35tgtP/1p1HPsavpm +/Hji4suuij6DM0TOnKXnXcurlm4sDj4oIOi3f3BBx/E+Xj47NnFu0FP/epX vyr22WefYoMRI4rZYV6biy8GGe/906dNizwHyBjxS2WlV6qgDx544IH4vt3C XPdcaFqnOtBd48eNi3H5VIbHHn202HqrrYoLluf8dXp2q3Kx5R8Pdd1pxx2L OXPmxHryE7z22mvRPiKn6GS+VnZTK3z66adRNx533HFRrv0pyL+rr7662H33 3aM+9QyxXDxu9NZb9+RHeFcd8IgpU6YUu+6yS8y/xeVmHXJIMWb06PjbJu8k i93DLls/jAFteOkllxTnnnNOMW3ffYuRm2wS+cxvfvObjvcoa3/61dhvN95w xIzBRzlH0fgkk+rm9UABj9xyyy2LnXbaKcor5TFm2Sh1vqoU0zj00EMjF6jL wcTXR4d5gnfXwe/IsJ3DWN5+++2L119/fVByozIyuoHEI7691lpR18upPCrY mwcecECxzdixUZ7iEfBOsAnJ4v2mT+/Jl6BPyeqzzz47/s1HzNdw7Ny5cf6T BXI2DzrwwGLvvfeOti6bemqwa/cJf+P+fqMcnn9YmIvH/+hHPb5xNq1ypdg9 ecJvssOECVFvA3/EI488EteXtAIfwiVBF5X1TdM61YF9LfaZeET6HZ2GRzR9 dqty/fKXvyz23GOP4rTTTuv57InHHy/232+/4oXQntpG+8qJrQN5x/fqGXLF ErS3vpkcyk7Pk3n4Iv366PL2bAU8wu8OmTkzlhv0rf45/vjjG78TcCJ/y8sg owGPxJsmBDlK7ja5pz/92mS8ZQwu+JL4mvgB2B245I033li88sorX7qXnsUz jK8mlzFUp+PL4HcwduUzTAu2it/hmDjw9ddfX/sbvEMuZavvzQs+tLFBnsrZ rAN/Ji7CZzE+jD/cF5fOyBgOaBXXIFfFDW4IcyPpDPnGhwT7kw2a8h2quXd4 g/lPrnue6+Lw90knnlicE+Q3nv1W4PX7BrvvyCOOWKEs+MXeU6cWh86a1bN/ gTjGHsGWTf5FoLvY6nKhlMM8v/nmm9vOOzaqslT1TZM61aEJj2jy7FblquMR 9CrZpo1wCvGDVnLRdxecf358Rjm3POrKW24ptthii2iL95ZHpPyIhNhngQ/q y6bvTL/DI48++uie+8hwPhZ+BGOyyT396dem4y1jcKBv33///bjm4aijjoq+ gHbAA/mlZsyY0egil8rxiDqwU/gMvvKVrxQ7BhljvYV8yW3D/GAfVVGOadTF VEE9zjnnnDiX2+Vv4a58EWRZRsZwQrv8CP5t8Q3+b357+vpLsjnpluOOi3+7 3//FKVrFNFvxCHbI+fPmRd+1+IXYtblrLtMLCbiKuc6/Lh4pvs3H/rc2Ofu9 0jeVOtWhzzyi8uze8Ah9JX+BL2bzUaPid+Ru3VoFsakTjj++mLTnnl/Kd6Aj Nx05MsYf+ssjyn3Z9J1QxxGAj0EcQ7ymyT396dem4y1jcGBeW2c+ZsyYqFP5 D/TvYK6V5C8zRrbaaque3CNy79bleTZV8IeccsopxazARVvtKSF/CN/5pM2a N1xbjiafRXkcZ2QMB7TjEQniBn/4wx/iHOskm5PfWe4yuVAGLi4noBWPwMm9 44TAQegjsW9cH0+o3ieWyLctb2nJgw/GfIJ2GCgecfIA8YiXE48I8ieBnPr3 0Bfsnrmh3vTyEfwAn332pfLJBZsXuJY2Whr0brnt5IjiDXyt3eQRTd8JrThC ygu5+667Gt3Tn35tOt4yBgd8QdZITp06NcYzXGIMrfYXw5/JlHZ7RpUvurpT viaOKragDClPKOVGeF9aU5YgrpjWaVRhbvn+8ssvL95666227+UnmTt3bnxv WueRkTFcwNdgTQUeMb+GR5inYnr2KTIX+AfJ5uQHFrecMnlycdyxx8a/5VLI iZNTxD+HN6Q1gOKI9Is5ST8cEey+8pw07+gCvyPz8fe0N1wVcpvo2I023DD6 Jjqtk/L++ZddFn0YOEACW6NTneoQddKUKTHuL7/DRQ/TocqjzE2e3apckacE u17sJu3nIG5jLQiwndnj9Kd8iSq0OT0rB9J9KT/M53S5sosxaXO6c9tttuno y095lseV+FVPXwYe0fSdkDiCtR/J3nSfsvAP8Fk3uac//dqb8ZYx8LC+Zrvt tov7pjSBGIQYJ/7R5DI+2E2tYA7LxbDes+wHTDAGzbvEa4wVHHyXMPbSuE7w nfFpTVo5t8Mzyvu7JSibueW9Va6SkTGUYazLI5J3ts4//VP0vcndo6PxY368 JUuWRDm+cOHC6GufHOSwnCL+CfMh+QXkKqe9X9nlctXGjRsX8+T5KK+/7rro 9+BLtr5aLrTcy7SPLIgjnnfuucXs2bOj/x5/wT3Ilc/DfWX/vffIEfCeq9qs WQBzVz3POP30WCY5mXSIz5vUqW5Oaxs5qXwG8vqV07rCrbbcMtrrZE2nZ5OD deUCdrL2kWPo//qDHX72WWfFfJW01kNOLJ1ZBzEPOt96mFeCvvQ7XFCc+CeB O2p37U/nj9pss5jbRefW2WzutRZNTIUP1/vVR1yJD8Y71Nn6nHbvTM9OuQl8 GdZ0Kof7taGxos073ZPGb1/71brSpuMtY+CBR7DH6/RsHcwJnFJMs8llvnxW 47tLIPf4N/kj6P8yjCu8QBlTbnOKacycOXOFMqc95Mg7toV5nvYnMVervglj nZw1hu15lfcwyRhOMKeszyRrxwU7YM9g//KXy4nk+6XHdpw4Mdp0jwYZfWeY Q2xkawYeDHPyww8+iP48Pma58fQM2UsXWUsh/27smDHRZqarvI+P0BkOOLzn sF9TLr5/2ZbWTtLHcgDoN7Yyf3m6L4GeueTii+M6yHZgQ4h98HPT+1dccUWU QT5vWqcqkl4i9+gmeRJkD7nCH/Hkk092fPb9990XZVu1XKnMchPl/OkLdtcz oSwzg41tjaXn+5fua2W7+Nw7tZFnuN/+CPajUH661HPwRDll6sAur8sFE6Oy 76l+My5wJ5wTN9C/1vfgdVG3t3lnue9wBLEO/itrQ/nDnO2S9tbqdE9/+5Ue 6M14yxhYmAtkEX2e9nlr5z/oJownc0FehH0j7EdiLBnjuLHxzr+Fc6Y4GT6h vPy5CWQFriBWNjHITvIgXeK9ODY7qgzPM7ZHhfGHF/FfZA6bkfF34PBN9lwE dmrcL2jx4ujjsw6Kz5xdyVakI54srec3z+hW+0+szHXWSZ+xQVrtJ91XaBPP T/o37t0Z3oOnsf3b5ZVWkfb46s1v+ot27yznPqQ2rLZdk3v6it6Ot4yBh9wq uQRsDjpdzisbYTB8/N4t12njjTeOORryaHABHFu8YdNNN41rKcQxQJnESg4O nNQ6qgTc3N4lm2yySTFixIgVrg022CD6KqvcyG9wETmW/s35ERkZfYO5Y40p f4j/p5wmeoP+4AsUy8ZL2JHy6NgM1f1pM4YH3nj99ehrsL6vlZ5ock9f0WS8 lfVDxuAAvzPH+S6Hsk2unHx0cpa6wW1x7lb7v2VkZDRD3OPwoouK3XfbLfJ5 nEGM0b8PPvhg8VSwT6xLYA+Il7ADrIvIc2/4ge/GnukpR4Y8rsriJvf0B03G W9M4fUZGRkbGykeM5X/4YTyzQm4hH6J8DXmF/M7prCXnJMgZOOmkk/J+b8MU 8s3kdFpjYX9zewXKheztPf1Bk/GWkZGRkTE8wWfIHq1bN5DO98zrooYv9O1/ /PWvMU7skmdW54/odE+30G68ZWRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRk ZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkZGRkDBasdbOmzl5O6bK3XzorKu1r Xb7sydxkzaU1dPZocz5Nq72imtzTbSi7PZb/7Ysv4r6F7aB89iJSxnT5bdpb wLO0UfrOvdW1g+617633DaU9CYZKuYxB+4I4g+uPn37aczZnQk9/hTHSqb8G E0Ol/TIGDmlf+vLZ4+Z5df53Opfcd+k8Qr+xhtm+as4sTGcbZmQMV5DLzz/3 XDxHyTlIzga3j5/9foz3j3//++Keu+8url6woLh8/vzipzffHPe7b7LPH35i P8Jzzj47ntXU13u6DXPamY7OOP1J6XydVvc6c8dZWPcuXhzP7nMGQ+I82sFe Rr535ra9lKt6kP5z3taFF1zQc97wUMBQKBcO8a+h/R5asiSe3ebsgYcfemgF nkrmGnPO+HTO1lDBUGi/jIEF+WRO23v/1ltvjed9OEMr9Tfe4Awv399zzz3x jLvq2Rm4g3M4zjzzzLifP+5gP//DDz88nvF12WWXxT3+zYWMjOGKLz7/PJ7N +I2vf73Yf//941hPwLudW+QsxR9utFFx1VVXNd4r2P74zjrafPPNi7PCHOrr Pd2GfRKdW7lFeKfzKNuBDHBW8LFz5xbfXmut4sADDyxef/31njbQPs56cr6P syV/+dJLX5IHbGznmjtLkwwZKmhXLvUejLPPnOuIu+KQ/n9xGIf4QnmM0dfO X479FXjGUMFQ7deM7sE8YDfYg/8f//Efi1133TXudZrmhvmPA+AEY8aMKX4e bKLqXmnGNflw2GGHxfND8YYJEyYUkyZNiueBrbHGGsUeQb7iI+2AW2e/RcZQ hfHpfMO11lyzOOH447/0PXt7btCjzlJmc/cGL734YtzDuh1HaHJPt8Fu2GvK lI48ApzDYK/krbfeOp4NWQWfzqJFi+L+yq1g/g9F33ddufAg50w4V3ug4R32 pH7sscfi363OS3012ICxv4YQj4Ch2q8Z3QO76thjjy3WXnvt4pZbbvnS93gu Pxn+Wwe+T/aZe5wX7tz7dJ6nM2adJ7pmkL04dCuInbC5xEYyMoYqHnzggWhv n3TiiV/6zlg/Lsyj7bbdNvr16RnzgP7kc8ZD2I8pf6Jsx74U7HMc4cwzzoj3 mHNffPFFr+9JSLF09/Atls8jJ9OVh1+RLkq5HsqXyug3fuu8cecCN+ER/JrT 9t033s/2qIIdwb/xzDPP1P4+xVBTucrlFQNRn3R2iHq7r1X+SdO2b/LsunJ5 vvrgdCeecMIKz3Sv96Zclk5nwae8Bm3OByQOXH6Pv/mKjSsxo+rYKSPyPv0V eET6rfpUc3XavbPc7mmcpPastk2Te/rbr6nvtKeyesdA7fs93KDNy22R9sJf Gfa4sbfDDjsU2223XfH2229/6Xv+yksuuaR4ouaMeXW47bbboh+Dr0J87te/ /vUK9+DQ66yzTnHMMcfUvt+cICP5MQaD22dk9BW94RFk4iMPPxztb3PH/HaP czivvOKK4tmSPjX+dw8c4bigr18MvFwOBtveeYqe0/QeIHPNWTHKO8K7+MKf fvrpKKfNVz5D3915551xrorB8BPQB2T1iy++GH+3KOgusfhddt65I48gv55+ 6qli1KhR0SeT8k/L8NyLLrww5k1VoW28+7nnnosxUb4dICc/+uij4o477ojl ERtx/hibxnlUf26RT9ik7Zs8u1W5fCYXZsT660e9/cD990fZSZa98cYb8Zm3 B7moHfVbK3g+28nzcQVxCb/lE048UN+RnZtsvHFx6qmnRp9YnZyGxCPYbu+9 +27MSzjvvPOifyjFqju9E4yTZaG95PyQ7++G8aSNzgrjzVgRn9DHne7Rxv3p V+Mq5iY9/3w8a3RBGKtylNiufo//rI7Q9nKzxFLx9wRtLZ7INziY0E98sN/+ 9reLgw46qDamy34wfutiWymmceihh8Y5VCc/zIPRo0fH8VyF3/zsZz8rdg6y yjly2mAw4o0ZGX0BHiGuceQRR8TcyvJFTx4W5kHiEUB+jh83LsaGgZ3wWPhu 6622imd5J9A1zmuks+VSnnbaaTGPYNRmmxWXXXppD9fudA+QK0cffXRxedCh 9MGTTz4Zz4HEN+hwfJ3+85xrFi4sDg7znk3NRy8/9Lwgy81rcur8efOKH6y9 dkcegYPceMMNUdf9uCYnk9544vHHI4+o8yHQBw+EtlWm3YJN4kxqoPvoDzH/ icHWca6lWPuMgw+O7UyHtUKntm/y7FblYss/HuyjnXbcsZgzZ05sL36C1157 rZgX2ow9RSffe++9xZXhma1A3tONuCFO57z3qwN3wxfpU8/gL8b1Rm+9dU9+ RKs1O3jElClT4ji57ic/Ka655ppi1iGHFGOC/E35uZ3eSYbHs8IvvrhYP4wT bYiznnvOOdHfNHKTTaI+cIZsp3uUtT/9yjeBoxw+e3bM4/X7ffbZp9hgxIhi 9mGH1dq2qwPoYu1Lb18Y5hQkm36rML6Nu1YgJ4wpnK7JZSzU6fUy+JWM8298 4xvFpUEWVaFsxgGZVTf/8UK5lNdff33t8/0eNx07dmzM1a6CjYCH8FeMHz8+ jqd8xnHGUAUe8T+++c0o08UCyxd5TUeVeQQbT55Q0mVAv5GrVR4xceLEyE9S HvObwa7de+rUqBPopSb3gFgEPiM3mu70u32D7D1veVySvTw12Kz77L13lBNs B/rS+hN1EJtMYAeOCzqiE49gG54QuIjy8UtWIWbJHr2vjXzjQ+D3LOsb4Fuh X/abPr34w/LcVm1I/1hL0gpN2r7Js1uVK+XVko0JuNL+QR6+EPoA19Au+GUd yEZ95Bly2BP0iXzVyaHs9DwZzo9SHletgEf43SEzZ/b4qIyH7YNsPf744xu/ E3Aif8vLSPbtBx98EHnThGDzsQ+b3NOffnWPsXz8j37UE4vhQ1GflCuyOsK8 5mOSs7hkyZL42bJly6Ifih6tiysmaFMcZMaMGY2uiy66KPow20Gfz5o1K+ZD 1ul5Y+PmYKPgAlWUYxpyNeugbucEjmqu1fkZjA3jgS/CezIyhjJSXIOfmU1V vvjS6Pi+8ohqDqVnyjXib2BLNrkHyFpxZPKbT4G8IZtPC7ID3gpzFa9Q1gRr US4O8sLn5mxCT7y9A4+wxkvZ6JM6vyU/vNwINmUrqIs1s1V9QyYeEvgNjsPv EcvVIJ+wSds3eXarctXxCHp12rRpkdvhFOIHrWw5311w/vnxGbhdQtSVt9xS bLHFFlG+9pZHpPyIBM/eO3BG/d30nel3uCbfVoKYCFuXH0E8pMk9/enXN5bz 5EODjkrrhK0NNNZ6m8u8KgHvZ/dbz/D+++/HNtcuG220UYwrdPIfdBu4svzq XYI9wwdVhXmhvHXxOL6RU045JfKQunLrdzIM9ymvkSvD+JWfyV9RHmMZGUMR vcmPgP7wCLLB/OEjFn9ocg/wL/wuyBZlvfOOO6L9RtafGuYq1PGIWPbAFdjS 5dhqUx4RcyMCl+FbrNtfaunSpdEH3k6+9UrfNChXn3lE5dm94RH8RPIXdgjy ffNRo+J3Sc5X8VHga9b9iE1V5SsduWmw7cQf+ssjyv3d9J1QxxGAj0Ecgx+7 yT396VecVGxNrEROkFwJuT3WD7azuVd1yPHVdjgDe56/z74LndYzgLHIpi/v GdXuarVnVBnGzlpBLuqX6r1imo888khx+umn1+ZN4CBpnUYVxr7vxWjLeSBV 8JfIy5oaOGda45GRMVTRVx5xch94BF+d+bfjxIlRdja5xxzmF6FH2P/mcLKR 2/GIlOdEv5TnaxN9rQxin2UuU0byadatBStjoHhEu7bvD494OfGI5X4eIPf+ Pcgx/tm5xxwT9fIR/ABBzldB9s8777zo/18a9G65PeWIGkf8wN3kEU3fCa04 QsoLufuuuxrd059+VS5xFjEz/Mc44y8Rb1udEcdxsP3lRtDN5rgYhDxnY6Td PrppHRb/RZPLPKruGVWGd8mX/da3vlXLYfgQ5N+QR1XgQMa2upBb1e/EYOSD 83cmkGlVPqKM8oJS/kWTfYQzMlYG6Gj+WnmWYs3VsRrjwkGebrPNNjEGDWn/ BbFnY99lnpPj8o7TM9JaDGs6E8hWvgQxZPHrJvewH264/vpoD1v7xPbA5ycv 16fq8EaYr2T/EcF2SO/H4X8c5vnYMWNi/jzd5Ts292677VYcM2dOy7V2nqm+ ckbk9ZXtEb+xNoIvnV3eDjFGc9llMdeDXEgQCyEj6Zvk2yZXpkyeHHlbKzRp +ybPblWuyFMC7zoxcMq0n4PcrrQOh+3MHqc/5UtUwc6jZ+VAui+1r8/pcmUn W/UF3dlkX5KUZ3lciV/hNLG/A49o+k5IHEHMPe0Z5j5l4R8g45vc059+VXfc Aw9VNzop7Zm8OoPPy9oF8kgba285KfKT8K52+6Kz3d1vrja5cLfPanhwgvku 1+YHP/hB5BFl35v+kwtL9ihnFSmmMXPmzBW4QdqbRVzMnMV90rpf46Zs6xgL ckTkcbFV8rrgjKEK49paB3tK2s/yoAMPXCGP2RyQcyyWyy63XlKu/fu//W3U wexW88k91rZtteWW0WZM69bIyH2D3CU/PVdug8+sw1i8PB+uyT3shptvuin6 1OVVkil4AR00M8hs6+uUY6eddop1KO9lT9ex1ekFa6jci6Ooj3iHv1vtJURX eT6b1zu1lUv57MNYty9VtX3xoDNOPz3KAz4WbetzXGZy0C3yueV7aGvlwwes E9OGdXpFedu1Pf3W6dlkV125QD21oZwQ/yef2eHW4uqbtNbjqKBjW+WF4FZ0 vjUzrwR96XdkpNw2e5HrG31E54sbyUOnc+v8zO7FHXFIsWbvVx95r/rVO9SZ T7zdO9OzU24CX4Y1ncrhfm14fZDv2rzTPcrUn361rtQ4nj17dtSdcvj0Ix3z eXjX6rq3Fft/0003jTlRfAZ8kdOnT4/7PbI3yvb7YMD79gycmt/TmNCfYlLK Ise2lS+SjaP/y2u89Kn5kvK28Yx04UrGbjkXnC3F38EXgx8py+o6LjKGNvB7 ft8jludRsrXo53S+hrizGJ64AznOL8H3ihuTjeJ25KNYPT+dOcEmTn5e+sp+ A9ay8VWSD/wK9EKS603uATpNOe0Jg3OwFeRQ0iViIngHPyJuwDZN+RBipuQ0 WbDjjjvGZ7hfrjw9gGe0ym+gF+iPo486KupVMW22id85B6LTHuHad8mDD0Y/ N72Pr9HLPpfjwe5XXnGlDz/4IMZS+c35YZLfpYqkl1q1vfWwnZ59f5DPuEC1 XKnMchP1OT88X/EzoSz4lL7xfP9q01b2s8+9037rnuF++yPYjyKto/Ec9r4+ UQfcrC5nHW/jO9a3+A3uZL0IbsAncuABB8Tcz6jb27wzIXEE492aTrJaTu9d oQ3T3lqd7ulvv7JX+TKsg8L/8GN8Ci8WnxnsfRKGCtjomwR+b1yIafCF0rt4 hO8Gex8q8z9xAns4nHTSSTEfgt4nf+rmv7GPA9lLWx0SjHlrgtVvxIgRK1wb bLBBtAHKcRb34yFyLP2b8yMyVlUkmWq+tdrTGOKegGFepP2A+npP2j8wyZP0 /iY8PZ0ZmezGpueEpN9a75FkW4p7r0w0bfu+IJ1zmNoo7icY3sNnwPb/Wy/s ItxAOXvzm/6i3TvLuQ+pDatt1+SevkLbxv2pFi+O8RD5R/xe/Bh8EzjJk6vp /hFpb9byGTWDddZLOxgD+kwfifFVz+IrQ//ivu7r75hR78E6BzkjIyMjoxnk 0fA1HHXUUS39KU3u6SvYlfxt8lX9Hwf0DjoHXxGLKduxGRkZGRkZGUMD7Fzn 1Kc8GnZj1WZsck9/EPfUvOiiYvfddot+bjFAeRH+tTerfdN64yvLyMjIyMjI GBzIi5fTaY2FPdXtly0XqLf39Acxd+TDD+MZKXJu7FUol08eqzhHzqXLyMjI yMgYmuBr+I+//jXm2LjkudT5Izrd0y2IpXvfyjjHMiMjIyMjIyMjIyMjIyMj IyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjY+AgV9z+kfZMK1/2x2ly ru5Awvq4uAflF1+scD6PdXH2jPV5dY1cqo/zEP746ac9+861+rwd2r1nZWKo lKtTm/b037/9W9vzlQYbQ6X9MjIyMlYF2OPYWQ3OHnI+hbMxnU1x3733Fk8/ 9VTPGXsr4xxCesnZRWeffXY8SyGBXnL+w4UXXBDLn0Cv/euHHxYPLVkSzxOz X70zMKzZq/u8U51avWdlYyiUq1Vbl9vUesmXX345nm3lfImhgqHQfhnDE8Y9 bpz5Z0bG/0U6i+vkk04qvvud7xSHzpoVz1HEJZy/PX7cuHju0Wd//GOvntuN PfHtB+R8pi023zyeu5TA9r3qyivj2U7O3kv4+OOP4xmczmfyf+dp0WH2xa/7 vNOega3es7LRqlyDeQ5Bq7Yutyl97Xzk2H+BZwwVDNV+zRjaICudheK8MGO+ m2AzpTOK07vwcHupGqP8Z3mPkYyhDGPYfv/rrbdePAs34ZMwV0479dRiww02 KK684orGPgmc3T6/zjXsL5wBudeUKSvwCDCnqjaB99kf8LHHHot/+96ZXHWf N91XqO49QwHVcnWzzZugaZu++sorf++/IcQjYKj2a8bQBb1un1NnczoDuXyW WH9g3jgf9Mwzz4x7phuXuMPdd99dHB5sOWeNXnbZZcV7773XtXdmZHQb5seN YX5UeYQx62zcb33rW9E3wdZMMW/+YP4CPLmsP/zmt7/9bTyX+8QTToi5Fr2x kT3fezyfPevM6r322msFHuGedO6nd3unctx6663xnOd7Fy+O7xW7r/u8aXmq 7wH6B+/ybPPdv1988UW8pxXPiueY/uUvMT6krVMdUy5KuTxNnl9X/3Zt7l7v 1p6+S2djt6t3qz5u1dat2jTyQP0XeET6rfqoY7m9Oo2r1DbaT71Tm1bbpsk9 df3am75N/ac9ldU7Bmq/y4yhAX3+9ttvx3G8xRZbxLNX7G3eDfBtnHzyycVh hx0WxxEugTdMmDChmDRpUjFy5MhijTXWiGenm+edypn9FhkrA614BFl5+223 Fd/59rejHifn+d6ee+65qEf4rO+44454JkA665tsvXrBgmLE+utH/fHA/ffH +dcExr/fv/jii8Udt99eLArvEHvfZeede3gE+e4eZcDXzWV/P/3008UxxxxT bLLxxsWpp54az19+9tlnaz9vUp6699BLH330UayzssWznwPP4s93BsOfW+QS 0kWPPPxwPE/hiSeeiM/mH7091JGf59lnnon3NXl+q/q3anP63RnYnqkvtetL L73Utt7t+rhVW7dq08QjjjzyyOK9d9+NeQnnnXdePDM75SZ0eieQr8tCm90T 6nxbqMe777wT2+iss84qFi1aFO033KDTPdq42n5N2x7IaZzs+eefj2dsLbjq quKmG2+MeTx+j/9krHogI/ngbgx9Lda6zjrrxPPdu+EfMHb233//+Gxzgdya P39+5KdAVpg/a665ZowftoLx/9lnn8W5lJEx2OjhEeuuW1x44YWRP7DLEv8e O2ZM1Hl4Mrl5XNDp8i//FMbs1UHP77777lHWGse4xuOPPVbstOOOxZw5cyLX Zq82AX3705tvLs4LstvvnI10/rx5xQ/WXruHR5DTDzzwQOQWu+26azwj8f8N 5f3kk0+Kq0LZRm+9dU/MXvnqPm9Snrr30Ht0h3j/xB12iD5OcfYZBx8cbXP6 qxXoLbkmYvKAMz326KPF1lttVVxwwQXxsybPrytXuzZ3/vS80IbyHenke++9 t7gyPLMVOvWxZ/SmTfGIKVOmxDOvrvvJT4prrrmmmHXIIcWY0aPjb5u807iK Z2QGGbp+4Era8dLAd88955xi2r77FiM32STymd/85jcd71HWavs1bXvgm8BR Dp89u3g38CK/32effYoNRowoZgd7Ek/M6DvwNLrUmE7+zzLSeSSDXSbjMnFR c4o/opNPQjmr/q7qWSq+N552DWPRefE4qrnqfWWIH+Iu+Hsd2AvsA36MwYpt ZmSUkXgEfW2c/vKXv4zxOnJ3jyDL2Yfk7EMPPVTsucceMdaRYB4dO3duMXnS pJ6x7/fuO+200xqXgexwXjIdg48nsPvGBZ1QjmvgG/wmZT1A1+A6ZL48qIRW nzdB3XveCTYu3bLf9OnFH4I+BRyB7rGupBXY1nyUiUek39FniUc0fX5duVq1 +ROhH/ffb7/ihV/8IspmNjN/Tx3ItCZ93Js2xSP87pCZM2O5Qaxq+/Hji+OP P77xO4H89re8DLwCPvjgg8idJmy/ffSTNLmnrv2atr17Djv00OL4wK9TLIYP RX1SrkhG36E933///TiunnnmmRVicHgF29z3g4nki7i7xCXxYXodJ6/m2fib vDTn6fbEe/jBXnnllWLZsmU996aYxqFhTJkLKaerCuN2dODefHlV4BDW3O0c ZImzY19//fVBy7fOyEhIPMJ6DT5otuDNN98cbSvzFvjKLjj//Cjv+ckTohy9 5ZYYM8SroS884ovPPy8uvuiiYt9g25XnWU98vcQjzNHL588fcB5R9x65TocE roPvaLdYxga5hE15RJPn15WrVZvTq9OmTSv2njo1cgr9WCenoGkf95ZHpPyI BM/ee++9iyOPOKJX48r3+4TfHX300T33kbt8LPwI+G6Te+rar2nbx7KHtrSu Ke2XgXPj2w8//HDbtsjoDH55a4Q3D31l3KZ+gDfffLM49thjix+X1oAn0Jv8 ZPhnkwvHbDUPyqj6IhKM6x133DHq7iQjE/jscOPtttsufv/Jck5qrE2ePLk4 6aSTeu4V05BHef3117csA37h/WPHji2eeuqpL33v/bgIXjM+8Fm+NL65jIzB RKv8iDKsDT0h2I+T9tzzS7Fw8nPTkSOjbxr6wiPMBX5ttnOyI2FY8IiaMlbR Lx5ReX5veATbSf7CDhMmFJuPGhW/Z8/VrVVo2sf95RFvBX2AL+IRvRlXdRwB 2GriGGzDJvf0ikdU2p4uEWsTK3kx6AB+6Pvuuy/m1ft9Rv9Bb2tP6xcS6FL+ ADEkPqEqfMZ/OmPGjEbXRcFm+f3vf9+xLFVfREInn4Q5It+B7k/5SGJ/7LPk UyjHNHCkVmBXnXPOOXHu1vkZcB2+ML4Iz8/IWBlowiPYCfPC+OcbXhpkcoIx LIeQTsGZ4eWk08K8bork36NPxAkTVjUecfIA8YhWba7+//6Xv0Q5NfeYY6Je PoIfIPRnFU37uJs8ojfjqhVHSLkh9jxpck9/eESyT0844YTIf+Ra0AXibxnd wdKlS6PdLjcGtLnY1Omnnx5zZgdrTzzvsZZa/8rVqqKdTwIeeeSRuOZCTjFY 20PfP7M8r5qf4pRTTilmzZrV0jfC5+X3OFLya1TBd8eHg7OUx3NGxmACtzYO 11133Zb5wMYqGSw/Dv9O+UM+J+f5fsXlIOrMwAdOPPHEyNNTzC+tk6uzheUm 20tTTqd8efebx+zs3XbbrThmzpyed9ID8y+7LObueRe433zfdpttVvAvt/o8 5e23Kk+r98itY8/QNcmvLeY5Jci94449tmUbp30wxPzFeV10MP3JPkmyscnz 68pV1+Yu68TSehC2s76jP+VL9LWPW7Vpq3rLszyuxLFwGroen+nNuEocQe56 ijm7T1n4B9ikTe6pa7+mba/uZDW7T93IdmVeGfu9rorQvvJd6d9ko5NPeOtR Rx3VMjfCWGer67cmV5M9/3FJOj/xmSqUa+HChVFuyjuuyhF5XmSXOLGxaLzg nWmMy1OyTqPVXq/awj32qijbVlXwq8wNcmXq1Kk9azwyMgYTaX9jew9877vf jfsP0Dd16+HNYfrg4IMOKl4JslS+mvHNR2jf6jQv2WsHHXhgzHXz/xS3lD/P V0l/V0EO023sc3pA3pC1d3LY5NqLd/ib/vWsM4JtIv8S5zffxdnpoVGbbRbj g2SFOtR9rpzK1K482qXuPXgNW0lMk42iPMqKD8iVsp6iTqcoOy7EZyDvRFzU msKtttwy2up+552dnq+s1XKRN3VtTlay7c4ONpy+Sms9jgo6ls6sQ6c+btem VbiXT1hMhc3l/epjv1T97B10Oq7TZFyl3AS+DGs6lcP92tG+7tq90z3KVNd+ Tdpe+a0rtZ5o9uzZMV4kXq0v2a2fh3flva36B+2OC4tfGFcph5BfXzu3Qtpr Rq5Kkwt/xANaoZMvIgHPnDhxYrFL4KTlvC4wnuh266XkNxsr5AAYh7iR3yWe XIbvcd4777wzviPBOK3uw6suuLq4h3JnTpsx2DD/+M3S+ja6iHys2y/Y+Pzw gw/iPtn8vNbtWTtvv4Ly2MZD5MjJPXMfTs0vyedOZ7aal2SGuSa/ir+QvYrf yI0n9/EMfvAlDz4Y/c90sjXc4upPPvlktEH9Tg4C7u/eus+9p1N51KH6Hjrq zjvuiHY/XvNg0Mnagz3BZ64N6c06XZJ0ErlCLykLGcGvyR/BxvXOTs+//777 Ihcol4s9Utfm+uuZUJ6ZwcbWV9rCv9q4lazp1Md0aas2rcKevtbak5XGFf5E nuIGfCIHHnBAzP2Mur3BuEocwTjFAdl51tnfFdox5fV3uqeuX1P7Nelb/Iwv w3pdHFDOCT7FNyM+U87tyeg9+CAODm1tXhhrYn9ireU1XHXQh3S+nIUmlzn0 WU1sL4HNYJ7of+VodZEd+O73v//9YsGCBSvMffxg+vTpcX8p5S+vk0oxjZkz Z36JF6S9aeUE81mS0cl3iv+XfRPm65IlSyInviXM/7wnWsZwAr1B9v6thf3F hkxrwCGtkUv7CrVDOiMy2YmdzsHoC3pTnm4i6TL16s3+3E1QbXOI6/HDu9h2 bP9W/VWHTn08EGj3znLuQ2rHavs1uaev0L5xf6rAu9mAYuL0HrsT98ZJnsz7 R/QLuJo8Ir58OpQ/sttnWTSBfmVjuPDQdhff1Ne+9rWYL4knJ/ALHhj48w47 7BA5dJm74xT8XtW1J2QCriD/hp8D10iXtcv8dmVOhe/gyqMCn8Wj+C6yTywj IyOjHm8E+46vQZy8lT+lyT19BVvPOTTyVf2fvPYOPAVfYSdaZ5vRd9CR/BHy T9jkK0Mn6lPxwC233LIYMWJE40suRDnvmM9Tvpk1neV6eL7YinpWxwsfh/yQ TTbZ5EvPd64HXlOOx7gfF5Fj6d+cH5GRkZFRD/6b537+87iHoBiJmEnVz9Dk nv4g7ql50UXF7kFfkPViUXSdfx988MG4j9pA+M4yhifiWqnlZ7WUwa9lbNrj oRvjkw+v6Z7BGRkZGasrxIbldFpjMX3atJhDX81raXJPfxBzRz78MJ6TIp/V ev0999wz5rGKc2R/ckZGRkZGxtAEX8N//PWv0afrEheu80d0uqdbqDsrISMj IyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMj 4/9v7zycrCrSBf5fbJVVrr7C7GJpAS6IYCANCDLknEHyEJQMK9GRKMiACgJK BomCoASRHESUIKiAgooIsvVeubuvyhd8/fr3OT11OJw0987cO8x8v6oumHtP 6O7b3V/or7sVRVEURVEURVEUJVuwBp4919gPzZvYb/U///WvorOX08WdZ/H3 GzdkD+FskmpeslUG9jfi9+C9mdrrKKiscflwbYkzNn++elXO9Aj6TFHKA7Rt +ojuP6ZUdDi7iXMoOVN55owZZv68eXLu4do1a8zWLVtkz9/rJXAeMvKDc38n TJgg5z1mk1Tzkq0ycGYZZ3m+mp8vv1cmCCprVD7c+fPvb95s5hUUyDkAGwvP zPR+tuX99/VcY6XMwr5itG3OBosa82jDnNPGeRolcY5Y3Hvpj4zD7KvGu9lj jb21OZcZ3V73Q1OyCe2PvX5Hjhxp/u3uu03nzp3Nnj17zDbbP8aNHSvnLw8d OtScP38+rfewZzFnSD9Ro4acDZ1NUs1LtsqAHf/6nDlyRrf/PHfGlaAzu9Ml qKxR+WD8e2P+fDnzm/9zPlHv3r3leu9nkyZN0jMolDIL8przrtq3bx/pc0SO swc7Z2dxNmm6ftuo99LHOdfr5ZdflvPG6XtrrJ3Xr18/OTN05syZ5quvviox 37GipAK+Oc6uf/CBB8yUKVOKPkfPxY7k87+NG5e2T+Kzzz4zrVu1yroekU5e slUG9D1//TNucE4UZy2XBkFlDcoHkAfOnNi2bZv8zTWclez/rLT2qVaUkgB5 /vrrr5tmzZqF+v7wB5w+fVr8a0888YScC4ctVlrvRQcfZXX3Pn36mO+//170 hgYNGsj56tWqVTN/+tOf5L5vvvkmrTwoSjpgHy5buvQWPQKQAXzevVu3m9o3 fQk7+MaNG5LQz/1wDc/mPnziBw4cMK1btxa5hAzkjFt0b+5117r4DK+N7X0O drI7s9n/rqj8ROUliqT3Rb0f2cs44c7+41+u4QwIr4+f8wGpD95DHaDfuWfz Hdc7OUz9MW6MtzbKiOHD5XqeS+IZ3nrlndzrr9filjUsH+ibS237wXe17r33 5F5+J+9nQb9pVH3xt3sP9/Kbc09J1LO/rEFtKkn7VsofSfQI2gJ686JFi8Rn 99BDD5nZs2en5Q+Iei/zi/iJ33rrLTlXfdasWUXngzO3MmDAAHP33XeLv09R skWYHsE4ynz4PZUqmbyBA4ti5OgvzNVxRjO+ONr1xg0bZDx2MKYjTw4dOmRW rlghz8e30aRxY5FLjM3EX3B2InYrYzh9YoW9do7tk5/s2VP0nH+3/er48eNy fuO8efPEd3Lu3LmifhuXn7i8hJH0vqj3893ly5fNypUr5f4LFy6Y99auFf8+ 5fmPQh8mdf3FF1/IdSuWL5f3HT58WOqFPOzbt098mc7u4bOCuXPNI5Uri6zn fXvt+/F/ziDOZf5885mtM6evMe7hhz158mRKZY3Kx86dO83gwYNN1SpVzJgx Y+T3YczzfrbB5g8bLq6+0BuwudavX29WrVplzpw5I+PrsmXLiuaI06nnJG0q SftWMgu/GeNUafvu4/QI9EvaJO2R+YUTJ06IPyKJT8Lrj3PnvDndNey9XL/c jgfPP/+89O+jR4/K+71g66HL0N8UJVs4PeKB++8348aNExn/05Ur5uPdu03P Hj3Mc40aiU0J9CPG+XffeUfkDTYxukb9evXM1KlTi2xonvHOkiVmsh3H8ctx fvMrVkfhHU4GI5Pq1a0r8+1A3yIuo9aTT5r8/Hz57Nq1azLGz7V9jP+fOnXK 9LB56tmzpzwzSX6S5CWIJPfFvZ+xZvHixRJn0DAnR2Q5MQM9uncXW514VmA8 QodjnMCOXrdunZljr8PWJ14Red7UjiXEvQLl2m7HD36bQYMGSf7wQRyytgvv 4dxsF/9FvRJLO378eJH7qZQ1LB//ZdsOc7aMgbVr1ZJYiIsXL5qzZ8/e9BnP xK8QV1+XLl0Svy36Ee8i7hdf2PBhw+Sd6dZzXJuiLEnat5IZ3BohZDQ6MDKU tlpaxOkRzhexprA94etCZ0eO01+D5vywEdBx6dvo0rQh9FzGP8rDPWHvdXMa xBrxHPyBftDja9eubSZPnlyCNaEoxcPpEZUqVTLt2rYVH0G3rl1l7MQPQXt3 /YNrsRWHDhkifYOYYfzfXN/W3ks/4dodH31kXujVS/xwjv3795u6Vm9wMvjY sWMyx+f0COBdyA/0CHRx4vsH5eVJvwP6LTKBucmvv/46Nj/Y+Eny4idpGZLU BzIVedapY0dzxcopV07kHesh4MPt203nTp3MQXsv4wzPwjcAjJvTp0+/SX7D kSNHTHM77owdO7boM/SE16z9nNOggehkgD9i69atZrm1odIpa1g+GNvwIyGv Pyh8Z9BnSeuL36xN69bSFpEf3EO5SqKe49oUOkXce5TMgP6LTsf8GLJ6x44d 4l9CXvrXDyNj0QFpL0nS1atXA2VylB7h90U4iCNqZPX5xnbcwqfqL4O0S6un 3nXXXZJ//GAv2j513333mdzcXPFzhb2XOQ1iKRcuXBhYR7Rn8vP0009L/ShK tnB6xH333msGW9t2ZeH4n9u0qcgyry+RcRW7DFmCvCJNs3+PHDHCTLRj9eef f25u2H7BZ+3btRP70iFxe5759jg9AlsRm5i4ZG98Hv3590K9Ji4/O23fSpIX P0nLkKQ+iKXuZWU0ctrNszPnIDGMVnYB/ogOHTqYtm3aiE6BX92Nc4wrPDeJ HgHIPfwUI2weeB/++iVLlojelU5Zw/JRHD0iSX2dsnYneRnQv3+x7ktSz3Ft Ksl7lMzAb1VQUCCy1/WF960OiKx1OrYDWc38GfI6SeI3RkfxE6VH+H0Rjjif BO2M/kdMJHEU9Ad05Tyryza1YyxtLui93jmNsPlI+uvEiRNlDCiNdVuKkhR/ fAT9gvbL3HaXLl1E/rg4NWw45AqxfWFrltHJ0bexr9H7HcXVI3jXkMGDxXYM WysSl5+keUn1viT1ESjffM+hzokhwI9Qo3p1GRdYa0u5i6tHMC5hsz3fpInM qeJXYJz7PaQOk5a1JPSIJPUVpEeUVD3Htakk71FKH36bzZs3y/iDju1Aj6hT p455r3CetaQJ0yMY/1gbxbjInJ+fKJ8EfWr06NGmih1P6RP4TdALWOPZ37Zx Fx/sfy/Xcd8LL7wQ6juhHtCffiz0vylKtkCPWOqLs6Tt57/yinns0UdlXEU2 AXPfzMcTP+w+c6APM5fp5vRaNG8ufmJHmB4xKkSPEPk2dOhNc/3gYu15X1x+ 8EMmyYufpGVIUh9J5BvjxD9+/VXGF+Tc49Z2YYy5bm2yMPl91OkRdhzxQv0Q D9Ggfn2Jvdq8aZPEUoSRtKwloUckqa8gPaKk6jmuTdFe4t6jlD7UPXY2v6fz G9GmWCNRo0YNad9e0Dv4fZCtSRJzh0F6YpgeQXtiXx3icoPADiBe9+GHH5b7 vToqPqzmtm+xVhPdH5iDyMnJkfUeYe/F5+LWafihLvievSu8fVZRsgX9jxi1 +++/X/qu46tz50yf3r1NtapVzfRp02Senbm8GdOnS1wPvjrGVfokbZ+5vF07 d8p1b9r+8fRTT4mfgzbPOE0fwo/H3Aljw/FCnzNz0YzhJGQO8g97mjlx/ITE XRI3z9/0V3Qc5ANz1XH5Ya47SV78JC1DkvpgXgFfKvLNzetS9lYtW4pMYzwj ns+tUSFeknIjr4mX4FmzZs4U/wK6l0P0MDs+MX/BuEVyfiNkJPoFeiB1yTxJ GEnLSv0H5YPrsdOefeYZs2XLltDPIEl9oUsRG9G/X7+i8pREPQPXR7UpZEXc e5TSh9+CuFfkpAObe/jw4aal/T39+6C5dcqsV0qSaL/87n6C5HmcL8JBW2vY sKFpYvuHmx/kXtZTPPbYY2bYsGHSj+gbjLfENJBnrvG/l+vQw3mWfy6N75jH YT0T73Qw/6x7vCnZQNbL2TY/yeoPd/35zzJvTJ+krSLf0HmZa2fcpe0Ta7fn 448lBpMYPGLi6Sfsq73AJr6nXyD/8CsgD7Ad8Bfj80AnwX/O319b+xEZhU3N 2k/GaeZCn6xZU+azGcNFlll5WqtWLYmVI6aIddI8iz7Du/BhhOUH+ZkkL0H7 USS5j3qKej92FWVg7CNeinGIfDt/AXHY6A27du0yE8aPl/pzayMGDhhgzlhd ibgw9gHj+cRLOh8ntjPxf+z1xP8ZZ913/HbEWZAv8hRFkrIyt8U8iz8f1Bt1 jGyu/te/yjoJ9BLK7f2McZI8xf1eyAdiPVlHR9m8ewGnW8/Ua5F+FNKm0Kmj 3lOaawWUP3CyFx2WuQ2gnTFHRwyRs+G9EOuAnGf+LkmifxF/4SdIj8AXgf8A vwBtKCzR5oi7IH5y7ty5RT4S3le9enXp40AbR/fHF+vWMfnf6+Y00KW8uoHb e462iM3FWO32a0GPVt+Ekg1ogxuszd7Ltld80Mgk5tycTxdbjDlJdIkO7duL X482zloA4texYRmTkRnefkn/oe/R75k3xEfPnknDrH6ALEJusb6Rcb5NmzYy 1hMngY5N/8GGxnfO+7ERu1qZ8pS1EbGFWQvo9TnSB6PykyQvQfOPSe+Lej86 AueV4DdAHm8qPHOCMYk6ZX3Bbju+MMawxpY1kh999JH8y7spJ/MS+HfRt4jT cvFhPJs1ic1yc8Vv7489I5YLPxLrzeKIKyt6A2tR/flg/CS/7IXDffyG/F60 Ge9n2JcuDiyqvvALyL4V9nemvtbY9uZiNtKtZ2LkGNvj2lRce1JKF34f1idU tTosbY7flvkoZDOxAG4PptIgSI/AP4ZdQ2IvkajUt29fc8cdd0hsJOt93D5R zK255+FH7dixo+i7+EXoG/730pf5/k3POT60XXQFfDL4PRgnXWIujhgn73or RbkdQIZ6910MQs6MtLoK14b53biGscLtyxI0z8D99C90j1TzkyQv6dyXpD7C kH0n7bMZTyhnWEykH2x83ufPE/WIzxT5WJw47lTrKBVSra906tn/nKg2VVLv UYqHi9chfgC7Bd8BPi32/OD3KE388px+iY5fs2ZN88gjjyRO+FLwF+AnHDJk iOjdDuYwObMIPRXd1j+vQf9j7qW71X29Mabo7PiE0a/87+OcD/ScoLkaRVGU pKA7MM7iLyLmkPVp+AUU5XYC+xy/F7ERbq/4TK1pTLIvdkngzhwPei9zZ/iD mUvU82gURckk6BDEZmHnYMuw5qW07TdFKUlcbARxLsyXZZpM6RFl5b2Koihe 8M9zpgTxEpwDH7bvlKKUVfA/EBtEDGLQPlGlDTGVxGawb0XUueHl5b2Koih+ 3Pme/vMtFeV2gBhK4ryJqczGPmDMI7DOkvnATMbFZOu9iqIoilIeUT1YURRF URRFURRFURRFURRFURRFURRFURRFURRFURRFUZTyCuuQWNOscdOKoiiKohQH dAf2VWYts+7XriiK8se+8+w7iX2lKEo07GW/fNkyOeeQ8zgrIvhjMrWnf3lE 609JF+wZ9rdkbyp/om1lyleK/sAZWZyfu3LlSjkrVlGUaDiPblBennns0Ufl 7OigM7XLM5yh8+WXX8pZfErx0fpTSgLGnbNnz5rly5ffkvbt25exM6zQIbZu 3Spn2d97771m0aJFGXmvotyuIAM+3r3b9OjRw3Ro317OjUEPD8Kdxcc5t97z lXkGZz3wHcnFWaDXM0/CtdgT7HvLd1z7P4VnZvMs/uY7ruf/v/zyi9gg3n1y 07mXvPB+ztUjef2UPAs9Cv1pxPDht+SV/DN+8Tll49lx5QzC+zzeyXPIC397 7SxXl5SN83v8e+YG5Ytn8Yyoe9Opv6g6DKu/uHqPK4tS8aC9oi+MHj36loRf IFP2DfmgH3D+heoRihLPTz/9JH109erV0l8er1bNzJ49W+SDF+SB8/OtsPbB yhUrzOHDh+U7ZNb27dvNjBkzzPz5881nx48XyUps1LffflvOBr5y5YpZv26d Wfruu3Km1IcffmhmzZplli5dai5evGi+++47s3HjRvNqfr5ZZO+5fPmyPJ9n pXPv9evXzb69e82bb74p92zcsEHGCUCWFsydax6pXNm0bt1avjtx4oScGbR+ /XqzatUqc+bMGTmbb86cOWbTpk2R5Tx58uQtdYyMvGTzt3bNGrGtzlmba5nN 9/jx482yZcvkN0B2/vbbb2KP8V7ql/OLdu7cKfLdPScoXzwDGyrs3nTqL64O g+rv9OnTsfUeVRY9b6Big35JX/CPQZmE/shZumVBjygL9aEoYdA+Dx06ZF57 7TUZ348eOWIaNWxoOnbocJMcAWTrlClTzNGjR0U2rbMyCbkK9LlDBw+ahjk5 cu8PP/xQ9HziLZCXFy5cEHlRt04dU79ePTmXZ/68eWLHPvvMM6Zf377SX5cs WWKmTZtmcho0MFOnTpVnY/unei+y6l0rU5Gt2M3IUZ7B98gr0vZt28xzjRqZ QYMGSd6JOZ05c6bIxiaNG8u7unfrZoYNGyayNqqcyFU/V69elXxVts+rV7eu mTF9upk0caL4f6pVrWrGjBkjusipU6dMXl6e/B7IWc5R5j3oLvDzzz8H5gs/ ADpD2L3p1F9cHeJD8Ncf74ur96iyXLt2rTSbvVJGcXEJ3377rejj6Jb4sbJB WdAjylJ9KEoYtNFNVi4uLuwnjN/5r7xinqxZU+xUr3/5w+3bTedOnczBAwdE DqBnoIM4kJ+vWZsTGbTtgw/kM2Qj84zEcAI2+Usvvmhat2plvjp3Tj7j3149 e5oWzZub01aOAjpH3sCBpm+fPkW2aSr3Uj7s3aFDhkh+kV0HbP67de1q2rZt K3YzHLH6U/NmzczYsWOLyoPvpY21r9vZ6+jH2AP435OUMwj0sJYtWpgunTuL XgH4AZC9DerXFz2AvPXp3VvWzaCb4O9p366dmTxpUmy+4u5Nte55flwd+usv yT1RZVEqHrRZdE/GHXx9O3bsMJNs2508ebLMwYWBn/THH3+U9pMk0feSzI9k W49ItT4UJdMwjuPHRkdgvL906ZJ519qNlf/yF5EjzFc4kIMdrH3btk0buR6f tb8/IiuwS0eMGCHz3uesnMLGxY8OvGO4tek7dewofnagr3A9tjn/B2xa5kQ7 2usYI1K99/jx42L/sg4F2U+aZv8eae+ZOGGCnNsLQXrEKav/I4cH9O9/S73F lTOsrpGX+Awc2Bv4dZ6oUcMsWLCgaF4Wm4Mycp4yvo+xY8bE5ivu3lTrHh0g rg799Zfknrg6VioW2DAFBQUiK924gk5MvJbXXvHDXB7+POK7kiTapWvrURRX j3BxUnEJ/SBJ/E+q9aEomQTbD593bm6uGWjtT9ZrkHravlbrySdNnWefFRvb gZ24YcMGscNrVK8uMuP8+fPSNxzID/Tl55s0MXv37jX79+8XXfr3wmvCZNmo kSNvkmXIL+QfMoZ5+1TvxcbHBsdX7o8b9FJcPSKunEEE6RFAHpnrYI6I3+SC rVN8RKtWrhRbhHvGWLkel6+4e1Ote/wTcXXor78k98TVsVJxYAzZvHmz6dKl i9grDuRmnTp1RCfONMXRI8g/OjxrluIStoaLEYp6XlmrD0UJgrF+wVtv3bJW z+0lgU8COeBi79GJ//HrrzJPN2TwYInH7G/H/+ueuWz6HnEC+OkH22s2Wz2F uXNHpvWIXbt2ybxB586dRfb7y8m8Bxx1cjCB3Z+knEGE6REutoD4Bez0l156 ybzxxhsSU+V8QHF6BLI67t5U697NvUTVob/+ktwTV8dKxYE2MnHiRNOrV6+i tZ2MN8jvGjVqRO5pg8ylTeHrT5Lw20Xpto7i6BHMa27ZskXafFzC17ctZqxI pz4UJVPQNpFfxAUSJ+eH+YDcpk1N4+eeMwcPHjT/Z/sdsXKfFO7HQhwd9jN+ a+IlvOAXR56wFwU2O/MfDuZNiFX0zlcgv0ZaWdbeyjK+B77DV9nOo0ekcu+x Y8ckprF27doy74D8YhxhvoZy7dq5U+7hOmIE8PE7/+MXVi4j9/v36xfoh4wq ZxBOjxgwYEBR3DV5Yf0GcvzTTz81by9cKP4edDvygP+SmIpRo0YV+UPR4/z5 YnyMu5d6TKXusZ3i6tBff4yDxGvG1XtQWZSKB2u5evbsKTHCDtrhcGvHtGzZ UtYzhUG8EvOMrBdLkmirSWJwshkfkU59KEomQIfAvzZu7Fjzt3HjbulTyAF8 b0OHDjUPPfigXMOcO3E+E6zewf+RC6xbGGhl4rnCmD0HMov4CWLzXy9czwHI TuLriLtoZfsCscf44skLspV5P/oP8ob4P3R3bFzsbD5L5d4T9jP2xiAvdevW lfxgCyxcsEDiEVzsM88jBpAYSP5PPBblfc7qUXyOjuDfAyesnGGgRxBbgv3N uk+eedzqDsx/kh/WwCxZvFjmjIiNJB+sDWU9BXNN+BOwez755JNb8sVvGHUv 5UFPSaXu/9vaQazpj6pDf/2hn+zetSvyHvIdVBalYoG8pm00tXYLvnxgDGK+ EH8a/rUoaGvo4swrJkmMW0nWA5EvnnvPPffIeu5MkW59KEomwL6kX9BO+1k7 EP3cC7IK+UjsPzES2Kpr1qyRWAlkEvsSsKaQf5G1QXYkMnO6tUdZI+rAh0F8 BbIGWxddH3uXvtK1SxeJ20fvJ+aCd7EGELlL3CdzMKneyzjDugrWCTz91FPi Q8GX4h1LyBvrEpvl5sq8PmsN5hUUyH52rFFZs3p10RqLuHKG4fQI6hT7nhgq 9lRYvWpV0ZoUZDBzRTk5OeZFq8etXbtW4hNlXaQdA/EJheUr6l5iaamzVOoP ew9/R1Qd+usPX0jcPeQ7SR0r5RvaPvs9Va1aVWKOaUu0TdYmu/XQmcbtfcK6 5DvvvNO8+uqrko//jYh/KinKYn0oSkkh8ciF+yDinw6LKaSv4WdkP4CydN4C 84vePTj94F9w6xyTUNxyeuMjeA/jQ5D9TT7xL7g5XHdtkjEsnXuTEFWHYfUX V+9KxYb5Qebe0H/ZCw9/AXYOOmzQnGsmwF+GDO9m9ekqVaqY7t27yxkbmchP WawPRckEyCnaOHN47OGE/4LY4vJGOuUk3gIbn7UxGgugKH/AfBrxhMQCuH33 y5L9kWm0PpSKCrIVXzk+bHT3/Pz8cqk7p1pO/KTsD+1iAYhD1FgARTES+0js IHOlFR0XG6H1oVREiBF8b+1amR8n/j9qP6bbmVTL6WJS2G+CvarxV7q1l4pS kWEvhBYtWiTaG6q8g/+BuDOtD6Wi4vZzK+8++1TKKedr/vOfErtAYg9M9Uco ipF1wMQQJtnTobxDDCV6ldaHoiiKoiSnvNsexUXrQ1EURVEURVEURVEURVEU RVEURVEURVEURVEURVEURVEURVGUdHDnfrM3iyZNmm6P5PYwyHY+NGnSVDqJ /Unc2fRlHfZoYw9H9mnTpEnT7ZE474W9nbOdD02aNJVO2rRpk/nxhx+yrSIk 4uTJk6ZTx47mnkqVNGnSdJukx6tVM/Xq1s16PjRp0lQ6KbdpU7N3795sqwiJ uHz5sikoKDCD8vI0adJ0myTOhZgwfnzW86FJk6bSSTOmTzfnzp7NtoqgKIqi KIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqi KIqiKIqiKIqiKIqiKIqiKIqiKCXC/wNcMfbZ "], {{0, 964}, {530, 0}}, {0, 255}, ColorFunction->RGBColor], BoxForm`ImageTag["Byte", ColorSpace -> ColorProfileData[CompressedData[" 1:eJyVVwdYk9caPv/IJGEFIiAj7CXKEAggI4QVQUCm4CIkIYQRQkIQcVtKFaxb RECtaFXEYqsVkDpR6yyC2zouSlGp1OLAhco9GVBrn3vvc7/nOed//+985/1G zvlzjnVmQUIWCgBQkGGXwJ/Dkcv5cxP14UuyVCERS0VCnrRIJBbJ2ZkIVNbp wQ7o1fFlsjwUWuVLi+QJkaGsaWnpLFIPIAICoAMUmPEFChknPj5GZT3y/Lu8 ug5UhOCKm4rrn+P/VQyEIoUAACQe4kyhQpAP8Y8A4GUCmbwIACIb6m3nFMlU eAbERnIYIMQyFRZrcJkKZ2pwtdomKYEL8V4AyDQ+Xy4GQLcV6lnFAjHk0b0J sbtUKJHC/FXFChJk84UQR0E8Lj+/QIWhHXDK/IRH/DfOzFFOPl88ijW5qIUc JlHI8vhz/89y/G/Jz1OO+HCAjZYtj0pQ5QzrdjO3IFqFaRD3SzNj4yA2hPiN RKi2hxilZiujkjX2qLlAwYU1A0yI3YX8sGiIzSGOkObFxmj1mVmSCB7EcIWg JZIiXpJ27jKRIjxRy1knL0iIG8FZci5HO7eJL1f7VdmfUuYmc7T8N7NFvBH+ l6XZSamamDFqsSQlFmJdiJmK3MRojQ1mV5rNjR2xkSsTVPHbQewvkkaGavix WVnyiAStvTxfMZIvtixbwovV4pqi7KQoLc9eAV8dvwnErSIpJ3mER6SYFjOS i1AUFq7JHesUSZO1+WLdsqLQBO3c57K8eK09ThXlRar0NhCbK4oTtXPxoCK4 IDX8eKysKD5JEyeemcOfHK+JBy8BMYALwgALKGHLBAUgB0g6+lv64ZtmJALw gRyIgQi4aTUjM1LVI1LYJ4JS8AdEIqAYnReqHhWBYqj/MKrV9G4gSz1arJ6R Cx5CnA+iQR58V6pnSUe9pYDfoEbyD+8CGGsebKqxf+o4UBOj1ShHeFl6I5bE cGIYMYoYQXTGzfAgPACPgX0IbJ44G/cbifYve8JDQhfhAeEaoZtwa7Zkqfyz fFhgCuiGHiK0OWd+mjPuAFm98VA8EPJDbpyJmwE3fCL0xMGDoW9vqOVqI1dl /zn333L4pOpaO4o7BaWMoYRQnD6fqeui6z3KoqrppxXSxJo5Wlfu6Mjn/rmf VFoIn9GfW2LLsAPYGewEdg47jLUAFnYMa8UuYkdUeHQV/aZeRSPeEtTx5EIe yT/88bU+VZVUuDe697m/14wViUpU30fALZDNlUvE2UUsDvzyi1g8qWD8OJan u4cfAKr/Ec1n6gVT/f+AMM//pSs8DoBfBVSK/9LxbQE49BAAxqu/dLbP4fZY DcCRToFSXqzR4aqOAKhAD+4oU2AJbIETzMcT+IAAEALCwWQQB5JAGpgFq5wN 17MczAHzwRJQDirBarAB1ICtYDvYDb4D+0ELOAxOgJ/BBdAJroHbcPX0gidg ALwCQwiCkBA6wkBMESvEHnFFPBE2EoSEIzFIApKGZCBiRIookfnIF0glshap QbYhDcgPyCHkBHIO6UJuIfeRPuQ58g7FUBpqhFqgDugElI1y0Gg0CZ2JitFC tBQtQ1ei1Wg9uhdtRk+gF9BraDf6BB3EAKaDMTFrzA1jY1wsDkvHsjA5thCr wKqweqwJa4O/8xWsG+vH3uJEnIGzcDe4gqPwZFyAF+IL8RV4Db4bb8ZP4Vfw +/gA/pFAJ5gTXAn+BB5hGkFMmEMoJ1QRdhIOEk7D3dRLeEUkEplER6Iv3I1p xBziPOIK4mbiPuJxYhexhzhIIpFMSa6kQFIciU8qIpWTNpH2ko6RLpN6SW/I OmQrsic5gpxOlpKXkqvIe8hHyZfJj8hDFH2KPcWfEkcRUuZSVlF2UNoolyi9 lCGqAdWRGkhNouZQl1CrqU3U09Q71Bc6Ojo2On46U3UkOot1qnW+1zmrc1/n Lc2Q5kLj0mbQlLSVtF2047RbtBd0Ot2BHkJPpxfRV9Ib6Cfp9+hvdBm643V5 ukLdRbq1us26l3Wf6lH07PU4erP0SvWq9A7oXdLr16foO+hz9fn6C/Vr9Q/p 39AfNGAYeBjEGeQbrDDYY3DO4LEhydDBMNxQaFhmuN3wpGEPA2PYMrgMAeML xg7GaUavEdHI0YhnlGNUafSdUYfRgLGh8UTjFOMS41rjI8bdTIzpwOQx85ir mPuZ15nvxliM4YwRjVk+pmnM5TGvTcaahJiITCpM9plcM3lnyjINN801XWPa YnrXDDdzMZtqNsdsi9lps/6xRmMDxgrGVozdP/ZXc9TcxTzBfJ75dvOL5oMW lhaRFjKLTRYnLfotmZYhljmW6y2PWvZZMayCrCRW662OWf3OMmZxWHmsatYp 1oC1uXWUtdJ6m3WH9ZCNo02yzVKbfTZ3bam2bNss2/W27bYDdlZ2U+zm2zXa /WpPsWfbZ9tvtD9j/9rB0SHV4SuHFofHjiaOPMdSx0bHO050p2CnQqd6p6vO RGe2c67zZudOF9TF2yXbpdblkivq6uMqcd3s2jWOMM5vnHRc/bgbbjQ3jlux W6Pb/fHM8THjl45vGf90gt2E9AlrJpyZ8NHd2z3PfYf7bQ9Dj8keSz3aPJ57 ungKPGs9r3rRvSK8Fnm1ej2b6DpRNHHLxJveDO8p3l95t3t/8PH1kfs0+fT5 2vlm+Nb53mAbsePZK9hn/Qh+oX6L/A77vfX38S/y3+//Z4BbQG7AnoDHkxwn iSbtmNQTaBPID9wW2B3ECsoI+iaoO9g6mB9cH/wgxDZEGLIz5BHHmZPD2ct5 GuoeKg89GPqa689dwD0ehoVFhlWEdYQbhieH14Tfi7CJEEc0RgxEekfOizwe RYiKjloTdYNnwRPwGngDk30nL5h8KpoWnRhdE/0gxiVGHtM2BZ0yecq6KXdi 7WOlsS1xII4Xty7ubrxjfGH8T1OJU+On1k59mOCRMD/hTCIjcXbinsRXSaFJ q5JuJzslK5PbU/RSZqQ0pLxODUtdm9o9bcK0BdMupJmlSdJa00npKek70wen h0/fML13hveM8hnXZzrOLJl5bpbZrLxZR2brzebPPpBByEjN2JPxnh/Hr+cP ZvIy6zIHBFzBRsETYYhwvbBPFChaK3qUFZi1NuuxOFC8TtyXHZxdld0v4Upq JM9yonK25rzOjcvdlTucl5q3L5+cn5F/SGoozZWeKrAsKCnokrnKymXdhf6F GwoH5NHynQpEMVPRWmQED+wXlU7KL5X3i4OKa4vfzEmZc6DEoERacnGuy9zl cx+VRpR+Ow+fJ5jXPt96/pL59xdwFmxbiCzMXNi+yHZR2aLexZGLdy+hLsld 8stS96Vrl778IvWLtjKLssVlPV9GftlYrlsuL7/xVcBXW5fhyyTLOpZ7Ld+0 /GOFsOJ8pXtlVeX7FYIV57/2+Lr66+GVWSs7Vvms2rKauFq6+vqa4DW71xqs LV3bs27Kuub1rPUV619umL3hXNXEqq0bqRuVG7urY6pbN9ltWr3pfU12zbXa 0Np9deZ1y+tebxZuvrwlZEvTVoutlVvffSP55ua2yG3N9Q71VduJ24u3P9yR suPMt+xvG3aa7azc+WGXdFf37oTdpxp8Gxr2mO9Z1Yg2Khv79s7Y2/ld2Het TW5N2/Yx91V+D75Xfv/7Dxk/XN8fvb/9APtA04/2P9YdZBysaEaa5zYPtGS3 dLemtXYdmnyovS2g7eBP43/addj6cO0R4yOrjlKPlh0dPlZ6bPC47Hj/CfGJ nvbZ7bdPTjt59dTUUx2no0+f/Tni55NnOGeOnQ08e/ic/7lD59nnWy74XGi+ 6H3x4C/evxzs8OlovuR7qbXTr7Ota1LX0cvBl09cCbvy81Xe1QvXYq91XU++ fvPGjBvdN4U3H9/Ku/Xs1+Jfh24vvkO4U3FX/27VPfN79f9y/te+bp/uI/fD 7l98kPjgdo+g58lvit/e95Y9pD+semT1qOGx5+PDfRF9nb9P/733iezJUH/5 HwZ/1D11evrjnyF/XhyYNtD7TP5s+PmKF6Yvdr2c+LJ9MH7w3qv8V0OvK96Y vtn9lv32zLvUd4+G5rwnva/+4Pyh7WP0xzvD+cPDMr6crz4KYLChWVkAPN8F AD0Nnh06AaBO19zz1IJo7qZqBP4T1twF1eIDwK4QeGVeDEAMPKNsgc0eYhp8 qo7qSSEA9fIabVpRZHl5arho8MZDeDM8/MICAFIbAB/kw8NDm4eHP+yAwd4C 4Hih5n6pEiK8G3zjqEK/3DEFn8u/AWYai14= "], "RGB", "XYZ"], Interleaving -> True], Selectable->False], DefaultBaseStyle->"ImageGraphics", ImageSize->{414.87109375, Automatic}, ImageSizeRaw->{530, 964}, PlotRange->{{0, 530}, {0, 964}}]], "Input",ExpressionUUID->"21f0b41d-04fa-\ 43c7-b2fc-a17549826a12"] }, Closed]], Cell[CellGroupData[{ Cell["Exact treatment", "Subsection", CellChangeTimes->{{3.7707878201412277`*^9, 3.770787832131055*^9}},ExpressionUUID->"ad1bf883-f9e0-409f-913b-\ f1973489bf37"], Cell[TextData[{ "This is the exact Hamiltonian of the system expanded in the basis ", Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"\[LeftBracketingBar]", "12"}], "\[RightAngleBracket]"}], ",", RowBox[{"\[LeftBracketingBar]", "21"}]}], "\[RightAngleBracket]"}], ",", RowBox[{"\[LeftBracketingBar]", "11"}]}], "\[RightAngleBracket]"}], ",", RowBox[{"\[LeftBracketingBar]", "22"}]}], "\[RightAngleBracket]"}]], CellChangeTimes->{{3.769841802182992*^9, 3.769841846847291*^9}, { 3.7698420472232018`*^9, 3.76984206210172*^9}},ExpressionUUID-> "8ecdae40-8c41-4db4-b4fb-85df26e477fd"] }], "Text", CellChangeTimes->{{3.770740430119977*^9, 3.7707404571595163`*^9}, { 3.77074049021978*^9, 3.770740512901065*^9}},ExpressionUUID->"4459c1e2-9521-4527-9764-\ 2f8dbbbb58c6"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"2", SubscriptBox["v", "1"]}], "+", "U"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{ RowBox[{"2", " ", SubscriptBox["v", "2"]}], "+", "U"}]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ SubscriptBox["v", "1"], "+", SubscriptBox["v", "2"]}], ")"}], RowBox[{"(", "\[NoBreak]", GridBox[{ {"1", "0", "0", "0"}, {"0", "1", "0", "0"}, {"0", "0", "1", "0"}, {"0", "0", "0", "1"} }], "\[NoBreak]", ")"}]}], "+", TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], "+", "U"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{"\[CapitalDelta]v", "+", "U"}]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]]}]}], "/.", RowBox[{"\[CapitalDelta]v", "\[Rule]", RowBox[{ SubscriptBox["v", "2"], "-", SubscriptBox["v", "1"]}]}]}], "/.", RowBox[{ SubscriptBox["v", "2"], "\[Rule]", RowBox[{"-", SubscriptBox["v", "1"]}]}]}], "//", "Simplify"}]], "Input", CellChangeTimes->{{3.743416199862018*^9, 3.7434163097907667`*^9}}, CellLabel->"In[1]:=",ExpressionUUID->"fc5e52d4-dd9a-4ca1-9e17-f8a5864a3c7a"], Cell[BoxData["True"], "Output", CellChangeTimes->{{3.743416246611562*^9, 3.743416310233811*^9}, 3.7707405607436647`*^9}, CellLabel->"Out[1]=",ExpressionUUID->"0b127627-1c73-48f9-ab29-e3a88449cea4"] }, Open ]], Cell["The eigenstates are three singlets and a triplet state", "Text", CellChangeTimes->{ 3.7707405575543537`*^9},ExpressionUUID->"f0ec1282-5519-4bc3-bbc2-\ 15b58bc40878"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], "+", "U"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{ RowBox[{"+", "\[CapitalDelta]v"}], "+", "U"}]} }], "\[NoBreak]", ")"}], "]"}], "//", "Simplify"}]], "Input", CellChangeTimes->{{3.742143591891686*^9, 3.742143643098735*^9}, { 3.742143711162705*^9, 3.742143751790244*^9}, {3.74214386049477*^9, 3.742143894702511*^9}, 3.742143948530085*^9, {3.7421439959342003`*^9, 3.742144010929385*^9}, {3.742144054542838*^9, 3.742144128761544*^9}, { 3.742144158981474*^9, 3.7421441745085487`*^9}, {3.7421443156919107`*^9, 3.7421443369873333`*^9}, {3.74214537586954*^9, 3.742145378154189*^9}, { 3.742145437080453*^9, 3.742145438731703*^9}, {3.770740842549999*^9, 3.7707408980277147`*^9}}, CellLabel->"In[49]:=",ExpressionUUID->"e8bc24ca-d63e-4317-8f56-29725dd33e93"], Cell[BoxData[ RowBox[{"{", RowBox[{"0", ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "2"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "3"}], "]"}]}], "}"}]], "Output", CellChangeTimes->{{3.7421436335555153`*^9, 3.742143643535049*^9}, { 3.7421437146159077`*^9, 3.742143752177957*^9}, 3.74214386265313*^9, 3.7421438951046343`*^9, 3.742143949458157*^9, {3.7421439966919127`*^9, 3.742144011399296*^9}, {3.742144056385276*^9, 3.742144129259364*^9}, { 3.74214416072604*^9, 3.742144175107827*^9}, {3.742144316172858*^9, 3.742144337356167*^9}, 3.742145378624712*^9, 3.742145439207842*^9, { 3.770740846565579*^9, 3.770740854990718*^9}, {3.770740887727563*^9, 3.770740898513172*^9}, 3.771089812958826*^9}, CellLabel->"Out[49]=",ExpressionUUID->"7325c05a-1fb2-453d-a7a2-02fd26c61e7f"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"All", ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10"}], ",", "0"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Top"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.7707865286047983`*^9, 3.770786618520667*^9}, { 3.7707867224301043`*^9, 3.770786753714794*^9}, {3.770786784417961*^9, 3.7707869790649548`*^9}, {3.770789893124645*^9, 3.77078996083567*^9}}, CellLabel-> "In[153]:=",ExpressionUUID->"0c9257e5-9766-4e50-b0f4-e8be9fba566e"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwdhwk01AkcgCdTvCiLahIZM44Uk+2QaqTfP7OyzQq7sXqeKNGkQyJHSm0b xWY7dNBWmNpS6JiiIvr9K5J7GEWLqNHxxvznRkyx7X7vfe97Hzti1y9RBjQa LfCb//XSgQjDhZEXVjJ6W/deH5RjtYTlG8zaCz2hj4Qvvv3488eHWaxMIAsl jHlDcjTNvn/HuDMbjiDZUfftL5F/2k5inQfeRK93RcNy5Cgjj48L8sGAt2Bx 42c59pjmjX3puAx3a1Ofzx+Vo8O1ye6j+qvA3OOe06KX4w7PhJ3DtjfAv/tg vuirHO+19/2t45WA1dbznZJxOY5u9+1WC27D8pRurrsBhQUTujOHvUXw6mJl VedECn9oOuU41HEX6u7VBj8yovBTrs8TXXQp/OF2bazHmMKsyK+hWn0ZOERa FxKmFEr0W8+obMuh6kRYQ80MChNrmQuUogpIv+bB+TSLQqvT7Q0UrxJS1zSv 5zMpjHAm6AMCBMdFW182OVFooE9p0e0nYaxjE13JobC9L8hG5/0EaEVDD/0X UZhcYlKu6XgKQ83MnS2eFPKzPxhqCp5BY/1ZLwWPwtnJTwLV0dUwfXPsWl8+ hSQvSaXU10Dzw6TCmmAKjbreOVG2dTAW7VVelEBhJ1mVIP9UB/HMnVlkKoVF 13KfDYjqwcez6fn0IxT6xfmFy3iN0FIiHknKofDc5IpzHwUtwHVd+sGxisLS JH5cvKUYck6HHHGppfCibOks7X4xDIuWZsa0UhgjthBovFuhOmaJY8kHCi0u vjBQd7TBQFPbsQnTFag3vX8jdoUEmtgzbRS2Cuw/dCVAVSCB1VbpnQyOAu8L DuQpo9vh+02VdrO9FRiy2I2r0L+EdQd2cNR7FSisz989YPsaVrCvUhcUCtTl ljn3Zr2GqLzoGRnjClwtaJC2jbyGYyYVWx6YKVFOHw6qkPwDeUuC4t4sVuIy Tz9u5tFuWL2E2LM6VYni218MnJS9YJ//qZtpqkILmBw21bUPnrb6wSVLFXrM OcM9GtkHh7Qxb7n2Kjyuu6FNae2D/O1hPMkyFbqdehkVUfwWMkID6HuiVHiw nsNfGC6Fn8YY1QHVKrwuejCn+KwU5l8ZKLwtVmFbrhfdsVEKJV8t5rr0qNBB sL7Scnk/lEg3rk0aUmE9Pc2VNu09rPIPDwx3ViPDs8ui5fkHEK+b4OGTo8Zb tzO7drjKQBgFtdw0DcosZFn8TTKYp7+kbMzWoFMif+XcMzIwF7nPjRdqsGCF iVA6IgN23m/L9Y81mF2XtSWkZgDuNvtQg6MaTJSeUPuEUhA/zyghMVGL+SYN h829VWBXLQgVpehQAK3n5XFaiDHqffPlzhDGvJ8nLb01AgXzzzDbjunRmJ3m 1LuMRhiqK45aX6eRx80anIUb6YTLvSXcOal0MqIrEOmNhsQh9ndNHoWG5O6a tIhdTsbEtn2v0s+1TSZFsVPWWa6ZSpwPcCmf2zqFFO7bLlsQbEb4ik1HhkzM yN/zv/ysk5sTjJkbpjHOmZM0SR9RmTKNSDsR7OxrNY2cs2dLcqDzDGLtszJ/ 6yfTyf7BnF9NqhgE58fZl5t9GST//bbU7N2WxCIjVs/T0ZmkX/9JFybTisjQ tgTcFc4iZc8ifntx05rod9uQjBxr0tX8lQ0v3IZI/xyb+eL1bNIYBjd1a5mE evh44c1tTNKHChm2C2IRuQpD/8emLLLzaeSEEA6bcCw/VbWhn0WWZVSHsQbZ BPujV3F9MZvcMimhr7nZjljFNsixT7MjN8ftK5vylz3hayA56elnTzpNKS59 5OtA0P7HgfwXYoPCLQ== "]]}, Annotation[#, "Charting`Private`Tag$30863#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwdxws0lAkfx/HJbLNuibFJrkPuWhXewsb/2ZW8aztO69JtRSSTlEqvJFG7 2cVm7ea1llahLbvKrqaiw1H/xzWMu8ltVFPPM2MaNDNmCKP19u7vnO/5nY9N zImQw1oMBoP7vv//tYwY1ubYX/12yTZulbdR2DLI2bmHkwr3GN73lt57ue3x JQ4nB2725tnaP6HQIL/2ru5IPqz68kb2kfe+Rv5gvZJTDIvtG8Vt771BHpu3 zC0F9wY/b6KdwmcG1/9eGr4BupTNd4L3tqvQ2bKouQVxpindlzooPOabfPyt dSXoBjgaBXdSeF8guqn2rwLtwLhQDz6Fiwk7x5Xcakh6eq/Qo4vCshXjOW8D eOB3cOhZcDeF27uv2M8N34OwKdr12x4KpUWBjer4B9A3uS1zqJfC3Nh3ESpN DUSys2Sf9VM4qDlSoLCug7lOlvKYgMIzT6w2yXn1wApeLnYZotDsvwL+tH8D zHJPxDBHKIxxIZiTXASWOCaONU6hluZcr/o8CU55M1WbnlMoEIVbqgMa4Xi7 kfMZEYVnq/TqZoabYIjlLgwRUxiUL2HNlDWDb84FK9kEhRZnG8OU8S2QMKHm lcgoJP1TFHJNK+wSayShCgo/FL5ynLbuAK1A/yN67ygcIR8lT0k7IMikQieD QePtiqLmSV4n6Lt966v/AY3BScFRMv8uMK1RfJOmR2OhTn3hBLcXcpnnrleY 0/ggJSjptGkf6C68nJyzprFEtnWd6nwfXG0dszpkR2NiH5s7E9APLWMth378 mEZ2SbuWcngAtoQ31Xt9SqPGoLby5LZB0Bb5ZsbvoJH++rddirJB4CfM/lz7 BY213Izr8ngBhNU3Prm1m8b9Hp4+bzRP4TvuWenocRrLO0tPTVqPwtOHasmt chrVRTUuL3JHIcPBpcK7ksYdXD41sDAKR+96NMjv0jjFfBtePzgGGWQb0UzS 6OUb7JOTNQ7E1ham7isa+6qXtBzlL8CAze52dhUjG3QiV7mJgH1QsXXaU4yf OBT4ZMWKgPxqIFLgJ8Y8daXqXL8IDJNf+hmEitHzytPDMXdeQktAncg9XYwX OjcEbY6iwCStvDRsRIx/8B463PmZgvOt2vORtBgHij5j2ndRkBrx1eU8hRjt uHsbTL1pSJRebDqgI8FOZqYbw1gMQ2v9V+E2CZr4Ctm9bRLw9OQUlN+W4F/V OcJjbjIodJL8/vVvEyhjy3KDomXAC3k0DPcn0PFMkJ9TgQxmrpoPcJonsGyb Xjm1IIO97s4HvqAmML8jN25/6yQ8+iHeZ7u9FM9QPyoDI6bhgOvU0d5qKZbq 8S8ZBSggc0Xj3PcvXqOfb1rExUgFsIPT9tWqXuN4ouu/5CkKKLkTkLNSW4am A5clXbcVQCTeD129WYZXinZ+nm2oBIOCX/L7MmV4yb7HYFmohHE3vpG2xyRy ob94KkkFRh2xBetvTyHjxly98LIKbv577ZqApiks+sBivPOmCuz8/t6cPTaF 7R1xVpVDKnBX1314Wm8ancKWbhz2UcNI6sr00cRplB5xrHq+YhZmWsPlY5+8 waP56Y/7fpqDtbDdwv6NHBPFztSDvxbAPbfwtfOwEkWRo9qNHQtgwrcLOSVV YuhItls3vQAtxVfI9gUlevEnUsVmixDyfcG+3y1mkMm7ZWiStQhtH+vY2hya waLzNn4pURpoueajo56ZwUbjdcXehu9goGA8KN1Sjbo2mY4vvBjEmz6+8e7i Ocwz5LuUH2QS2Wu2KDL+0GCMMAyZXSxisN8y70I7gzzVmhlzwlGXkO6rKsvu Z5K8k/qhpp+vIuZXR5R41LPI8rQE2aY9hoSZjmCvq0KH/KZ06Uv1lBHx/GS/ MXNBn2QMioiGc8bEad06M838atLhP3Fnw1zWEBTIHj4pNSLp2V926z0yIfQX H6fKnIzJIPHR9PxTpgRJZLlXCj4ig+mfXK2szAivhtQqYaoJKWuOudj+pznh RUozCpimpJvRkKV/lCVhnMSKTqheR+rCbPS4yoqQRAl2RIM5GTi9/61tOIdw uPzy03ClBTnSFLti/wYb4lWGsP/Zr1ZkTXZLJGfWhoiaM6hkr+GQcSuTRT09 tkQwz1zoMM0hDyWl1ehfXU9Yjt1XaT+0ITdyXXt2RtsRLOGyxjDdluxlb9BL 9rYnkud581ph68k9B+oddkvsCcY/syP/BwdGaW8= "]]}, Annotation[#, "Charting`Private`Tag$30863#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwdxw0804sex/GxcotyhOTIDHkK6UEnpfL7d4TIUYl01akIC90elCZ6pMIN ReqQQjq6KT2o9KDy+9OTIYTCf2Njs9ZMG4Ywuu79vl6f1/f1Ngve7xuqTqPR kib7318/EayxOCTHRSJXZR+Np/Btk6l3gOlReD533D5h0j/flyeYmiYD7XtU d96ktTOePtRszQBnj8dv6id9nUxlTjXNhgW566t0Eyi0l4ek/WTlgVRNXbln 0u3auROqlgI4afzZo3HSFremLxsdK4SkZaq3Pmco3Ls6+l/DzCI4vPLr3o5J P24W/K10LYbccpc1p89SOBrpzetjPQB7NZGr0zkK89V4ycNuJfDoh+IILZHC tR/TLYdaHkHuluc83qQlWR4VyvAnsPfiO3ZtEoUpIePbB8ZK4ZqE51WfTGHT 2J5MBfMFXHUOKNROofDIB5NF8pIysDLY6bg+lUKjS801va6v4Lu0TCMnjcJg W4Lew0IIs7FLPZxOofpYbL3yGAlLbhavm8igsFngz1C6VYB06/bAnEwKY4q1 XvS3VIJQcfnSL1kUemWINfrz34BCtuWdOJtC45gKv77wt6AR9yToUw6FpCtb IR97B2sb7PoEeRT+g9tl3cvkQOzu4TnS2xS2kq+jZRIOXJEMef55l8I7t7Le 9JRUg3GEi5HoHoU+UT47pa61sOcc57H9YwqvTC+78pVVD4b8zDt3yil8wvaK OmTYAA/Xqt97WUHhNanTrwPHGqDArv+C4C2F+xp0Wf1un2BxfbNxWA2Futeq 1PtaGkES8zM0qI3CMe2nRQdWNcFVN5cTuu0Uik7f3KjIb4KXHFpVi4DCp6wT ufLwZmhmqzPyJBQGOi51/j72GSb4HH3zEQpvVOcd7GG2ge25V2ummHBRmVVq y09pA+nHG5si5nHRnVUjbBxpA/acRN1vNlyU0Yf9y5ooeCUOUC5aysXlq32c kxN5cH+6Z5hsPRcbHqjUreV86F9y+bLFKS7qwvQdMx0EMCOn5iAzkYsrrTKd E0ME8Pni1G1L07iYpiwaiP0kgCzm22fF17i4NP1zaPDdTsi9tiiUKuPiyWp7 r8U7hSB6s3b2GhUXb5c8s7p7WQgPLMzNv03hYWPW73TLWiHEd4z1F8/koQVr 6yvDFSKovv77tiQmD6vpZxxoet3w9Dy7NH0tDw1Wc3Xr34tB0y7FUyuTh4RF mHzduBguMPRfn8jlYbhWX02l41f4EDVbS6eIh6/aNM4+zf8K5Ro5nJRyHgYf WTJ8PVYCMdbLZP1SHt5/kMzd6yAF1hB8v+TZjlJdaYpXkBRmE32Kef7taH3E y8UmUwrsAh2zhl3tmL9K64ZwRArMtJrLx2PaMYOTEhb4rgfimJeeLSpqxyPC C30e23tB1ajQNtTpwEfuigLLC71wWuvUcByjA+VFG/3olb3gk5wcNGHbgXsO zHpWbv0dDL/c/+dO9w4MHM849tvAd/izPn/dlRMdmKdVkzDLTQFTTssuqJQd 6LI6bvupHQoYPRoq2jaFj7x9dr/J2QpgC65u4+nx0bDxvLj2jgKqadyQNY58 TM/y9kzS6YNAG+bn/EN8TLCs0/7J7YNzC+4Vt4/ykQWfsmVRAxBf2HZnY4YA aQVDZdzzA7Dk0Bo37WsCzJpizKv+ewCMugNedBQKsIoTZlL0ZQDsswfTn78Q oI2fqiDUWQmVsqoK3y4BSvZYF3eoDYJX6sd1Tk6dGJFxvLzh4hAkSWx+RCs6 UX2wgI9FQxCiuh5IqjrxakAV7UHlEPg0uzeZTu/CamM911TlEARzNx+0MO9C u//c/uC5dRiCOXM9Vvh3oexlU0Ml8wdEbFDFP8Qu3Nc9X/jk/ghkRLJ2p9wS omBH27QKzgi4q/LYhs+EuLk1yeGjaAR+6C/fVvlBiMtrvh7tNhqFL/l6Mw98 EyK9pFDHIHEUXkbdZS9zEGHWMTMX9s4xCOVYnkt+LcIKvV+zV+iMw+iyu4Wa ym5cmlpV7mY3DnwsNEiaJsZbGjGiTe7j4KB265EVQ4wpI18WRhwbh7Su5vIP 7mLcws98f1UyDiV2m/xycsQovaOjHCMnIN9w/rqs9V9R0+yMNX85jfDeIDH5 450Eq1alLzzhRiMab1pTYTwJntua68TwpRE3gh1EuQMSVL/43GNbJI2ICKlX hJt/w9EJGavlOo3Iv/TYZu/pb9jD879dr65G+JSuYJu5SbE2y3o+WatGbE98 +MZZ2INpOjW2N3bRiar4pGGdGDm+cGKU+uyjE5uu2DYwsuUo2rEfVHF0Qp/T abu+TI4r7+n5BfxFJyLZT/s1xuUo8dx+fGYdnWAwNN//XKNA14Te+qMrpxDP u+d1ymoU+GPwl2hfg6nE4fEujkVPHwZz/ZBeq0H4zly422CzEg++OxO831qT MG8f++ibNoIlB2ZsNvScSRhE3Z0a0j6BN+IipYsCdIjOBXM3iKPVyfg81Sal bBZx32RvlH7QVJLWJCBexeoRMb4JSzd6TyOtDofF+NnOJlr8oSopXosUDf61 Reu1AWFlqdZ0MFmb9OqOOJ5x0JBw8RCnv+/RIX1EF+1MTIwIojLTNTJVl5S+ CT5VdW8ucThul1O8vj7pMOsLw3Ungzic1/xRq3w2qQmDQbwBE4L3Iaqb8J5D evQGDpv7mxImLrl/3FQZkq2VIWqB9mYEuXxFqqjQiCxNervDdNCMiDV2nmbr aEyGTY0W1NWZE9prc2aHdDHI3VFxpTOuziOc82oiwqOZ5EKWXZ13kAXROhwe EnnKlKzXtdeKXmFJ9Dq+jtUJMCNf3o/PsadbEQYHkvRPMs3JODXbjbXtVsS/ i87KWn+Yk5q82HX7nlgT2tE5dlvq5pFGvYrWLWJrgvb/WZD/BTiihAk= "]]}, Annotation[#, "Charting`Private`Tag$30863#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwd0nk41G0XwPFhrGMbIx5J1lARLXpIy32XKEseCQkpIilpL6S0eF5LlKQS 2UpKWRIqUzmjpN8szFgbS5YGyZJd2d9533Nd5zrX57/zx1fb54STnyiJRKoX 7v9u6mUfiTW+KVsOpMfZxmQTUFGnZb9XKwTFkdQuxAq9UFl2XUsrGm31SJlN EFo+4fVLCj8BnVBWbUkVOpURpymu9QBJNSXT8oQ2GvK9ueCfjuQT1z5mCP1N Pm1+9usjVBY8GssXelm29N/TM09Q8dwId1zowM3njv/WzEGabfaByk8JKKrv yBq3zEUSaro+FkJPH7NvHfEvQLGTSYWHhM4QaY3+bVWIts03ut8WenvVbb3J r69QhAjF65PQvUk7yscDitE3lUPvpoSO9Z3zHJspQWdT/jpj+oyAupkjicOa pWiadWn0tdDnv2isHiqkow93C+jzQqvdqWcPWr5HN6ib22xzCPBZicn9/oBu BiebDwstOhPKHQ9joIc82ZM2zwmo73BZOm5VjvgFmmJPhQ7OlSkd/foRZail WJ54QYBtQo/EaMYnNH2aGGoSWj243HkkoAK1DmpO78wlgGF5YXho5jOi2UkY muYRINny3WBQk4nsrhRSUAEBfMaHcwO9TBSYRSvhCP08O+lTfyEL0V2vlHu9 JMDhtMOBPksOYs9WiMYXEnBPmn7vhz8X2XsyzAyKCSi+YHv6jCoPRaWZkvlC P+wzWzwWxkN0ifz1cSUEBPFo/qNWNegyhNeKvSGA9pAQHflai7LubyWtoBMw I/865+SmOqSlfUh1Tuiuq48dhzPq0NnDKakN7wh47X85bSigHgUo5Y3e+UCA +zpTi18zDSjYuKndqpyATFb6qX7NJvSX4qoH4UwCxpNKVrbHNqG1LjenX7EI sPZnC2qnmtA4909mP5uAAfJvF3pdM/JalE0EVhNgvtnBIjqyFfWW/krLryOA VzArajDUjkJf5vDWtAv/RdJecsYdKObKtB29g4CN+okWkb4dyNpltcHO7wTc HM8ZC63pQMuo2WJnuwkwvd3g5/OiEy3qfx4vO0BAOMvIds0BAQofzn6+bZqA Z4Vv9F/cFSB9o2p5nVkCapO2kfU4AkQ96jQmMS/s19/tveqGLlSwL9y6U4QJ LHKEMUmpG72W3u3Kl2aCyuYWGreyB/newha1akzIL4huCTTuQ6t3HbguuZUJ fbS+WFvvPsRzsRs4YckEg/O2W5Yn9qFEPfXAb1ZMyNgkkymY6kMF/hz6F1sm JDBjD7t/7kcLezzbmpyZcF5wa2SH5yD6PryQORnAhHQZ9nVFq2FUn+sXoZ/E hC2bL3pe8RpGZYVLrc1SmNAaZLh+6MIw+nkVLu1KY4Jq7Y0ezvNh1LzL0zMm iwm3k+xtoqgj6O62z2bWhUy4rlctv9Ayghbpkv9lspngj2oeDJweQ4WxG3tV xVlAejRJb7kxhijxz65xpFiQJKbeysoaQxL3i2r/lWUBwTyskdM4hnIjxLOk F7FgufPsIz+LcWQuNhruqsuC3iMGuW0iEygteGuTlCULjiZcKuPFTyLj0VMp Q/9hgejEo3bImUSFJbwgnxssSN5LkAo+TqIKEbOYllssYKkrWcaNTyKJmqy8 jiQWGD599sXG7TfSCa0xN3vBgoF3dbyPmn+Q+4Orcmo1LAjqXiEozp9Czb8r Vdq02dDh1SRVzpxCS5VOetw3YMMefpRxVdcU6rgk0+q2ig3m7B8h3WrTwr4r CsfN2UAufEJViZxG93Y53o93ZENSmPaWCwdm0KYOTzh4lQ3lSosfbKDOoai3 DbGZP9lgGkeUWRnOIdXiZS5nhtmQLRHctdt6DiV8sbns8JsNsVONJkfD5lBG jZe6tjgHXNsTK5N759Bfj0ZzzbU50PecOj7DmEdtVSo3LDw4QNGOMGg3J+Hv f49+4zdygNh02+SyFQkfNNs+7t3Ggf+4pZktdSJh4x9mF8a7OSAa/3aHxzGh PQ4Nrp/gwPT8gP/XVBKezLj0xXBRFfS3ujzjiopgzx92Xwf2VAEnyWAFgyOC N72PfKrcUgUxxaZrDjSJ4KPRx+y+C6pgJ2/rhvluEeyYqN9QOlAFFZKeNpsW RLDP3ER19HwVvD8fH/B2jSh2sBypzdephjznqZyX90TxSpcs3cXHq+Emlb0y 8yAZW49jt3oKF0rNlpY4BJFxWUBk1YQyF7q8TqDZi2RMsdKz0NfmwsY8Jee9 98l4y+X7u4rNuNBr43lJrpqME3Z/LIr044Ll9UFuyEYxvFyt8r1GBRf+TCic c1IRx8H71obxrXmgu9RnYUFXHDNqR/ODdvHAYXtxdN4acbw3fIYv58yDJwlu aVK7xLEar3KnvzcPnEwyv5RdF8eV5ftVosJ4kHdkrZrhiDi+zS79EFfMA58W ZyBzJHDkQoBA0agGKCmdx081SWClfUqpZetq4JV7kHp7jwTuLVzCO7exBsjN kSF0EUm8LKhaQLargSw+fd0pM0n8cP2tOxlHa6CnQetZ2yNJzBqjK/a/qIGj vIH40hApPPRs31tLs1qgxYcgg0gpHDn/rtcb1wL9H4lfiYlS2HnC+HusTS3I cDXtThZI4b1k1whpz1rIrXISN+iWwtsX7WtJv1oLv1hvQxIdpbGFkQPVmVsL pz5H+JwwoGD13/PcS+fqQKPLWmJyHQWP7il0fBJeB2xR6edhmII11DwimqPr QA/HjUTvo2CfHaKeQWl10ES/eyXrBgWrhlzbsIWog60vs9OahihYLTHnYYJG PSimEM2Wb2WwZ1u7++vGeigrjbnMqpDByyQTisu/18Mxvr3O7hoZnF/QXf3t Vz18Vq4J8OqTwf3q64p2SjZASHzTn2B1Wbw9P9RqwLwBOv/tU8m/Iotbejvj rqc3QOFJ2T2qNnI4xHL/ms+hjcBJVgrJc5XDU32Q6hbTCD0VaunbfOVwx+k9 m8SSG0Ft8Yr+wHA5PCPX9SGrtBEiyq2ul5fI4eb4giyF6UZwpYUXHdWRx3xS UWJx+FeYLhpR+jAjjyMhcVFUOh8Wtf3Z4CStgD1I5q0XX/HBWIp08IeKAqac 9fsW95kPhzzlcxXXKuAM/0gfuQE+cMQMtx8+ooD9+4t8r1g0QZqL71mFBgXM sLF6ffhbE2RePNa3ei8Vk9/EkIlNLbCaIf0ncj8VV5+jnfdzagGG2DPx9kNU /GqFIEH3SAt0xHVpxZ2k4iwJsSTRxBbQyNi/92c0FWtIWp/ZPdgCyRX/VGS+ p+JgusuSg9mtkCBnmkbTUcRRCj5Vr9e1gY5T7YuA5Yp4Nf8si7urDQrvnSxl GCtibVaaDvVIG/A08+qDNipix+pH5ZKpbSC/Vl+G7ayIFQQCFl+qHWJcVYOv Rypi/TCTx2t72+Fa+uzu8QFFLOKhm54l6ADH1W9PGY4p4umRn4pyYx2gUX7m ts+UIj59ed/7G6KdQP/ex+OJ03DygWp1jnYnjOo1/ZOnQcNvPRYqPbw7wSe3 ZNdhRxr+mLOwidPVCVtLg2z4RTRsQZM9c2/uO8jbrgxQoNPwtPia7eMKAmht 7o6yZtCw/dpxk2M6Agie9SSKOTQcKnr8adYOAbxEdjtud9PwlTenNuy8IwCt SgMr27+U8MvPuSY+Jl1AquvA70OVcFZqSb/zxW6I+FmWGXpVCW9N39nHTegG aVKq6IYoJfxry1XW0efdQFu1r6LkrhI2rxXzIzV3g15kzY6Cl0rYucPePdei B2w3fnR41KOEm7WD3KiiP+DO48eeUU6LMMnK5Pz6nF7QP3s42HmlMm6en2Le cRuAVRbte9JXK2MNgV7d3LkBMCW5mfT9rYxJss391+4MwLZYm55wS2VseXpA pq16ALyyjJxfeCrjnJRj6xutB+Fe/aiJ6C1lHEO1yirb+AvE14f/KBhTxkaf Ft87rT4MXRP3XWU+qGArXZHAss2jYNt99FLCKVXMjZwM6vb7DQ5d8YYaGmq4 fkn7YtmZWej75HOFyFuCfaw+jN7ZIiJMo3Gp5YGlmE4bDnzlKsagoAnv1jEN fM/ZnW5vJ8nYMej+W8dFC/d0vvo5fYPC4H/0FXE30samq/xf5FXKMUqiKry0 JrRxz9Za5i9/KuOw+LmO6mod7Hf1uFieAo1x6PTFEtlkXXzeoDJQIVWJYeJv WG3vvQy3+wapDuoqM7g0I5lzG/SwfLbTglqVCuNd/rUUI7I+3nbIsoPhrsq4 KLLSkfNNH/P+euF7laLGoLSG7gwqNsA30ybkJIqWMLqztRPTw5bjN6detp9H SxmJyxeLlbqswKNpn9LrBzUY8cmHv3hrrcTt5VI1k0iL4Z64v1r2x0q8oSPy xlpxbcaf7U+m0ssMcXZI5bB7izZD0L0t+GOkEV58vMV652MdxqPNa5ZUea/C E3e832qG6TKcW5sU9vWswqT/zzLGfwHlj8r4 "]]}, Annotation[#, "Charting`Private`Tag$30863#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwd1nk41N37B/CxpKJ6bCHEjJlSstUUkfrcqRSppye0IEWWFtlKoaSSUBSy ZQuJdipkxnJ/xr7v+xLZGypbKlTf+f3OP+d6/XHuc65zve/rumk2zoft+CkU ihYfhfJ/e/x1G6GNtrE7Un7fKz56nIXFTVTjo1RPQrP928ljPP8tLfClUgOJ s79FN5nzvCIsO0O4PYxInPime4LneDJYcRH1EfEmKNjLmmfVb7b3/zo8JmYF xibsee5ZkfBnoS2ZsO5bmnCBZ0bqUq25+aeEk8D4TXeeHbe7X/ih+Jygpj6M u87z++a+lJldrwjR4wJfA3ieO2/cPemQTtgK7rgcznMiX3fgjz1vicYRgy1J PO+uCV0z2/aOeBZD25DO82j0Xs7M2UyiVqTxaAHPQba/LafnswjOTcvcWp6b 5s+ETyiyCKqxuPI0z5fLFDS/vWUTqQN7NRabs1D2YXPVl115hK6Qo5M8zzYq IDDmgMSCVnSoEc/88151M9dIInnPa/fTPDf3ma2e2cMh9vVVhnjz7PFKhDXV VkgE+Gx3zOLZKGxYaCqxiLiln6zaxLO8B8d08mwxYbRCgzHFM7nrysS3+RKC yz+Yw7Rg4eKufuUvihXE+PkSzxKe28l89/HRCmKrrNvMOM8vUqOLxt5WEnK7 I1NXWrLwoNvBk9xd1UTY/otvz/EcuZQdOeJQR9zf0mZDP8HCzCtGbhdl6olK 2/AYU57juNqrpq/VEww/dWF/np3qxR2m9jQQDn2bQr/xLB5Xzj/Z1kiEGVKh zoqF8yuyn7voNRHb++y3Cp9k4eDNJ4cmEpuI9slFZw14zna4nvDtbDNh0BN6 sZBnc+Zm3a/zLcTW5EaNilMsTKp87Dqm2EFEUF6YiZ1m4Ux0lkpvUAfxq/OM nz3PBg5VA42/OoiP1zLX5PM8LvDDjN3USVyrs8txsmXh1u0HdQP9u4mUOvf1 A3YsrE9f4Ff+1ksw7ogcETvLey+x1Gq5eh8hs1c53pvnbWvDdf1t+4jsH61H xni+P/N82quhjwii+ClVnWPh5tAWO5uXnwgj8W2KcY4s9KlUNdp4coCYc06r 93Vh4bO3H9a+jBggmCv0TBa7srAxWl9gTfUAISb92SiIZ4bDsTwZnUFCuHNH TIwbCysFbqtTJIYIDZXW/PJLLJTa3iVeVzpMyNwG/fOeLHyTHtjlqM4lqr37 Uyt9WcgV5wYZWXOJY2VKxq63Wah82WjHunAuofTWQm+VHy/feiJJA7+4xEl7 7z+Od1gYVhFkb14yRpy7QfmHEcjL68CDyb2WX4jrhqb36++z8LFIla/YngnC dOSdHyOWhTu2X7W8YTVBfLXwnJzhudtpw5ZvVyaIHIpqemkcC2Ua7w1Xv5gg wqL+pTklsDA02tgwQHSS0HS4OlKdxELfNbUr/nZNErLdipsrn7HQgWh4NO42 TZxRj31R8oGFlORZdte9aUKvnjmYm8PCaEH57sqUaWJ0qvvcexYLyyvsFZ63 ThOCl31OpeaycJ3pQrKd7gwhZTU9E4u8/jyj/Ooj33dCa6OVQGkZC8+FeRfU h8wSLka7GqU7eP31PbkXn88SHsqPYGsnC2OOllPSC2cJnSJcZN7F+295iV3B M7PEurSmiKQeFm5Ie1ZmeOwHkRji3Qr9vPzkNtUXKv4k5vz91pJjvHwPrR/I fPOLyLSTuV78l4V9Vh1LOBW/iOWSfamqfGw0aQ9Qrxn8RVBvPHKJ5Gfj1qoR zyHZOWJC4OOo0yI2Crx9KirlP0dc12V5MUXYGH2NtuPKyXnC/oVupIg0GzkS qx7piP4mqv67fHpeg43CtNvKvVspIH235fAvezaW64VqXN9DgeSHxR/enGHj nWMJ2qsPU2Dxe5VndufYyB+Ss9fiPAXEO4LU2i+wce7PuENbPAXe+il01l1i 41i32bM6fj6QIuW3CvuysTpaeT1ZzQeSIbmS6YlsvC9apZJ0SgA8JBdqu/rY yNJenXXQSQA2PzxMXzvAxkErZ2LhqgD8A7QrbkNs3PZawvRolADQt5RSxbhs HDW09F5eKwCDSmSE/TQbd/l+qfPcJggLTqatbkK5+PP7P+6HpRZBdssVB2n1 XLTpMkWBaiGQnAsUqvTNReHYTxdcO4RgWZRB8/07ufjO3Em+d1gI5j5+rzUL zEWBTn9PNt9ikM568S/3fi6mtLOZrtqLIXuGnqAWk4vDLdRnH5MXwx3JBReF t7l4rn48hOW5BPR/G+u97ctF15LbNs7KwjBqliPfb5CHCoMGQrNMYdi+qFaM 3ygPq/iXvrgGwqDUxt7EOJCHayB4MvC4MGQ9bVtwMsnDDnbEjZR7wpDS86BJ 4VQe7sxITej4Jgx+gs4xo555KBZb3rkrRwT4zJwN1dLz8K3LMhMZw+UQc3NQ r4Saj9UxEp6vjywH9QSuayUjH4eLZR/r2y6HZXwPHjWuy0fZVevHHH2WQ/UD t/IxzXy8zdnjy8laDuKyFl07d+bjEXGf9+eUVgDDzTXsuk0+zr2flMifXwGS Hwce70vLx6Sr57maR0XhumEcPtItwFuPF/6bGReD/q33utdcQjykmeO6YVoM Ek7GhpzyRFTgXAy1+SUGX/b4lCRcR2T3c+vrF4nDX4eF3DWBiFNrOv59rSAO ugd/060SEG1eZR2wPyQOaxQ7VK5WIO5kORm2vxeHyPGpG3piJFKa+iDPSwIY R/MyxF1IvP25IMnrpgQcb3aIdbpI4lJKPL9OgATkKPkK1lwmUVzteHFWhAS8 +PnEPNSbxDX+DXvTMyRg3N3KZOs9Eo22FR5MHpaAN3Pi9nxpJD588sQy4LAk qHmZKoT0kbj2kr2HqcpKSJ4/rqJiyUE13V6Tx5orYU5dr3fqJAc3U45pcLVW QqLMr/0FpzmoH2Q47LNrJTj7RB45cZ6DVimqpi8tV4JHgMilPC8ORjZPafA/ WAmRc4I/KDEcXLTFZyR9mlfvfeDPzE4ODn6POiKSLwVUypYXNnaFmLyTebGn SApsPSnCh84V4sng2gfplVKwMDt/YadzIXYyFlWYtEtBrAHTRNOzEBtM3LbF TUvBiuGCJURwIRa8NaaqqUjDXtWBQXp2IUZd4OMejJKGKH+tOhWRIjQaOucd 5ioD3Wt2biOKitDAm/5qt4cMRP3+IKtVUYT6K7s7Z6/LQMlN7eWb6opQd8+B rRZBMuCeRdHX6SpClaca0/Q0GbjTZHfPb7oIRexmzmR1y0DkOxrKrinG6kFv 0/a9q0BvxfpQm6BiPDgYskFBQRaGqy859TqWYPWGwWZLhiwEu1pr11wswf0X ta/HqsiCpEbeCOlVgvv4P9bLaMtCFTVzFTugBPWpGy5LHJKFuP0vb86klOAW yxJyyS1ZiGl3uvrgYwnKN/8ymx6ShcN9hTKhR0oxRu7A343jsrCNU5dqaFWK q04nPnOZkoXBzMAlS+1LUWrKYP7LH1kwigx3iHMvRVHR8MRRaTkYHMzykooo RQFj9bEeQzlIih4zPdlSitwimxvlr+Ugsjci5qZFGSqGtp+7nykHcga+nX22 ZWhqddDMNFcOnhfOXDR0KsOCnzoqfeVyIJP3ZUjrZhmGqYk1/xiQg08Claq3 08pwWxQqK8vKw730V8XT38sw6Jx8nd8deRBdrT3uH1OOHO0w1v5geThl6Ruk +rQcZwWXpIiFy4PWaN7e7vRyPPV42iM+SR6E/AcOnCgpx83NlUpZefIw65hy dGSiHHu2e14enJKHm/XJWeuNKlBdrHX1rpOr4Q9ZEdC3qBKHg4dvRditBv0r lPM6YpUYL/xjZOT8alD0UO6Pl6/EZYIy74I8VkN55Pm6QGYlcmePG7SGroa5 fWOO36wr8Wl3j9PZ4tVw6VmEEYVTifLPhvDBegXo3Ozq9D6gCpsZs4x+DQUo uCy9ITGiCu8lCd3drKUAJkf5PsQkV+FcjLJph74CLNZ2CWLlVWF78NlRJUsF MD6oZ5s4WYUPL34Rzb6vAHMZnGmGVTUKE9+tu6cVIFB7uCVZvwY9dq5bkj3H O68C4RmHa3B4l8WbB3yKkOgcXNdgU4OF+zhz+v8oAltGW+9f3xr0Ohz88LmK Itw+tvyyTkkNjtmtKblsrQiXDCZujRrXYnWQ2TqxOkU4pWpGpjnWoe6DgFpu iyKsTUhKc/Cpw2ehuZeKuxWhxaTQnwirw9uRNM4VriKEZPm2aOfUoUL9rOo3 fiqY+i2PSuOvx9aOwhIzBSqIBySJKh6ux71fzH8omVFhSdNCm+p8PSZI+jb5 HKPCbd83zgJCDTiz7WV6twUVKhYizEdFGzDx7rxDpA0VpFaLB/esbcA55bj2 pS5U0PpTw/AwacBXNj2sibtUkJ9PLr6d3oCi7SevFZC8+0UXZedebET7v/7H 5Iqp4FMx6hlyoxHz1mZs9iijgofiqeVXghvxrDvly8ZaKoSoWdK80hqxUDzp xNMuKtC3KftYdDfipQP9O4JmqZB7b/dYmmETthfa8pmr0sD0qnuQBbMZJ3Z2 ynpr0GDmP7p1ys5mXMz5d3PiJhrY+K29TznUjFqo6zC8lQbCZRFu047NGJ4r WuO2hwY554fmStOa8d/MvOh7VjSoPtzmqE9rwdKnkpr5ITT4t5979SajFT8y 7hr2PaSB98uQtR5bWvH7k782AlE0UNpZ9/iOQSsykrkRhvE0+Gs9Fjt2phVv JZDzLc9p8GPPJpnON624I8qx7GshDSwzSqsdiTbMCii2on6ngcuhRKuwS+34 zKhKxv8nDcYDh4MC77ZjzLLGxi/zNLiWc2zpk8R2vBHSa5DLrwS2sqqd22va 0Th6Tv2IqBJcuwhnV63rwP40zb/3NiiBR8i7B/GDHbiiLO7xD2slGLw7VhLq 1YV8gU+OW9kpgeayG6lGEV04Y/RCouSMEnw8ksBWy+jCjtoP/mHOSmB6ucD/ 4nAXprQ2Oqt5K8Em9pzgIrNu1B1eAqejleDPiprTXro9aL/Iva+2VgkC3kjE BqzrRVnFirb5BiVIaWjv6TPoxdqtq+vWtSjB9OdQsLPrRS3HkvxbXUqQusGc mOaNqkJNK2O1RpXgzcp3QitF+/BpYrZZAh8dFnQc+6JD+3Bw28/KC5vp8MbF 4cbd1E8YbWZcGKNNh59fPQNf5nxCY+dEVpkuHYZN3jYPVX7CzOR9z2g76bx5 7HBw6rdPeHvpI7+WA3QQc7v/21y3HxltOrDdgQ7xHX/Lkpv78bTb1axlMXT4 0pKRqr16ELU2fcxaH0+HvLgdaXqbBlF4CrINEulwzERri+XeQcxwFfpwI5UO Wu371MZcB3HBJTRn5h0d3h2LHDYsH8RI57Tc7io62KteV5L0GsIKxybOq990 iBMsF5SaGsY4Va3CCgoDspdzmD7CI+gyHl04LMAAS/HPfQL0EZRytCqiCjNg t6Uf+6TpCNqc/1wcLsUAp6/bLlvnjODC2b9l1zQYsP+QJi3IbxQ1HDbUGlsz 4JmX1xWbzVz8eFbR+bUtr/7MfZnww1wMcpQQXXGGAeWfG22GXLj42XX+vzon Buj/95E9/JqLT65Vtfx3jQG6bitabdaPoXTY+Z4jUQzgmmxU2LR2HP/mvRw/ VcMAuTmp9CStr1gnririrrMGxEs/FSYdmcTcN7diVQXWwtjXwfVZ/LN4lU/l UHXPWoh/6ez/5PE8Cnd77XPKVIYbopNlvGmJHEqlhT++tg6u6tQ0i0YLkOHr VgmyzNaDaLro3GmOEBkSY19mTVWBnzProq9ylpLm4Sdql42owF2+gcZ69jLy 5+6nvx4XbACFEdeNFfP/kAND+h6F/qrw7vfi4wO3xcjk7RvlaqzVQDJryZMC dQnytZ+7mIOaOnS7zM915UuS/man9wt8V4eXQXei9AykyC3dSc/9azTgVjW/ fvOENBm9PvZ1zX5NyI60OMXyWUX6kMHR+1maINyH0i815cgDcmZPKxkbITX+ lK9Rpzy506nMQixwI7g9kJPmOCiQj+VtGNXfNwJ9QNThgQiVZBSlRR602ATX TtzIkGyhkiFqhSqNBZvgj87NmeIYGmk/LdhQocKEmesjj065KpE2b6eogQ+Y sG+731ieDp10vGWyYBTKBIE077Jt2+mku0lm27KHTBCd1n7KBjoZ8N39fkgk E244fLXL2Usn3+j8mo+KZwL/iX0L783o5C/O39bUl0zovdN79aUrnQxpXBZc XMYE08gtZOxzOhnz5MKZOxVMiEtMbJR9TSefXKrdta+KCZVXMoYfZdDJbKmQ uapaJgRL5kpEf6CT3eYSZ5pamCDee/pmeAmdVB5Ytat/gAmj53a/CP5EJzUz vRRShpgQ5hDRumyITur6df2yG2GCTIS3YNAonTRWjs/4zGUCoSlqd/cbnXQ7 T1WYnGRC/x5lHf/fdPLTq8/SGtNMoPz/YpD/A2+Vxj0= "]]}, Annotation[#, "Charting`Private`Tag$30863#5"]& ]}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.99}], ImageScaled[{1, 1}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"E\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-10., FormBox[ RowBox[{"-", "10"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-8., FormBox[ RowBox[{"-", "8"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-6., FormBox[ RowBox[{"-", "6"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-4., FormBox[ RowBox[{"-", "4"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {5., FormBox["5", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {15., FormBox["15", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {20., FormBox["20", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, {-10, 0}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwdhwk01AkcgCdTvCiLahIZM44Uk+2QaqTfP7OyzQq7sXqeKNGkQyJHSm0b xWY7dNBWmNpS6JiiIvr9K5J7GEWLqNHxxvznRkyx7X7vfe97Hzti1y9RBjQa LfCb//XSgQjDhZEXVjJ6W/deH5RjtYTlG8zaCz2hj4Qvvv3488eHWaxMIAsl jHlDcjTNvn/HuDMbjiDZUfftL5F/2k5inQfeRK93RcNy5Cgjj48L8sGAt2Bx 42c59pjmjX3puAx3a1Ofzx+Vo8O1ye6j+qvA3OOe06KX4w7PhJ3DtjfAv/tg vuirHO+19/2t45WA1dbznZJxOY5u9+1WC27D8pRurrsBhQUTujOHvUXw6mJl VedECn9oOuU41HEX6u7VBj8yovBTrs8TXXQp/OF2bazHmMKsyK+hWn0ZOERa FxKmFEr0W8+obMuh6kRYQ80MChNrmQuUogpIv+bB+TSLQqvT7Q0UrxJS1zSv 5zMpjHAm6AMCBMdFW182OVFooE9p0e0nYaxjE13JobC9L8hG5/0EaEVDD/0X UZhcYlKu6XgKQ83MnS2eFPKzPxhqCp5BY/1ZLwWPwtnJTwLV0dUwfXPsWl8+ hSQvSaXU10Dzw6TCmmAKjbreOVG2dTAW7VVelEBhJ1mVIP9UB/HMnVlkKoVF 13KfDYjqwcez6fn0IxT6xfmFy3iN0FIiHknKofDc5IpzHwUtwHVd+sGxisLS JH5cvKUYck6HHHGppfCibOks7X4xDIuWZsa0UhgjthBovFuhOmaJY8kHCi0u vjBQd7TBQFPbsQnTFag3vX8jdoUEmtgzbRS2Cuw/dCVAVSCB1VbpnQyOAu8L DuQpo9vh+02VdrO9FRiy2I2r0L+EdQd2cNR7FSisz989YPsaVrCvUhcUCtTl ljn3Zr2GqLzoGRnjClwtaJC2jbyGYyYVWx6YKVFOHw6qkPwDeUuC4t4sVuIy Tz9u5tFuWL2E2LM6VYni218MnJS9YJ//qZtpqkILmBw21bUPnrb6wSVLFXrM OcM9GtkHh7Qxb7n2Kjyuu6FNae2D/O1hPMkyFbqdehkVUfwWMkID6HuiVHiw nsNfGC6Fn8YY1QHVKrwuejCn+KwU5l8ZKLwtVmFbrhfdsVEKJV8t5rr0qNBB sL7Scnk/lEg3rk0aUmE9Pc2VNu09rPIPDwx3ViPDs8ui5fkHEK+b4OGTo8Zb tzO7drjKQBgFtdw0DcosZFn8TTKYp7+kbMzWoFMif+XcMzIwF7nPjRdqsGCF iVA6IgN23m/L9Y81mF2XtSWkZgDuNvtQg6MaTJSeUPuEUhA/zyghMVGL+SYN h829VWBXLQgVpehQAK3n5XFaiDHqffPlzhDGvJ8nLb01AgXzzzDbjunRmJ3m 1LuMRhiqK45aX6eRx80anIUb6YTLvSXcOal0MqIrEOmNhsQh9ndNHoWG5O6a tIhdTsbEtn2v0s+1TSZFsVPWWa6ZSpwPcCmf2zqFFO7bLlsQbEb4ik1HhkzM yN/zv/ysk5sTjJkbpjHOmZM0SR9RmTKNSDsR7OxrNY2cs2dLcqDzDGLtszJ/ 6yfTyf7BnF9NqhgE58fZl5t9GST//bbU7N2WxCIjVs/T0ZmkX/9JFybTisjQ tgTcFc4iZc8ifntx05rod9uQjBxr0tX8lQ0v3IZI/xyb+eL1bNIYBjd1a5mE evh44c1tTNKHChm2C2IRuQpD/8emLLLzaeSEEA6bcCw/VbWhn0WWZVSHsQbZ BPujV3F9MZvcMimhr7nZjljFNsixT7MjN8ftK5vylz3hayA56elnTzpNKS59 5OtA0P7HgfwXYoPCLQ== "]]}, "Charting`Private`Tag$30863#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwdxws0lAkfx/HJbLNuibFJrkPuWhXewsb/2ZW8aztO69JtRSSTlEqvJFG7 2cVm7ea1llahLbvKrqaiw1H/xzWMu8ltVFPPM2MaNDNmCKP19u7vnO/5nY9N zImQw1oMBoP7vv//tYwY1ubYX/12yTZulbdR2DLI2bmHkwr3GN73lt57ue3x JQ4nB2725tnaP6HQIL/2ru5IPqz68kb2kfe+Rv5gvZJTDIvtG8Vt771BHpu3 zC0F9wY/b6KdwmcG1/9eGr4BupTNd4L3tqvQ2bKouQVxpindlzooPOabfPyt dSXoBjgaBXdSeF8guqn2rwLtwLhQDz6Fiwk7x5Xcakh6eq/Qo4vCshXjOW8D eOB3cOhZcDeF27uv2M8N34OwKdr12x4KpUWBjer4B9A3uS1zqJfC3Nh3ESpN DUSys2Sf9VM4qDlSoLCug7lOlvKYgMIzT6w2yXn1wApeLnYZotDsvwL+tH8D zHJPxDBHKIxxIZiTXASWOCaONU6hluZcr/o8CU55M1WbnlMoEIVbqgMa4Xi7 kfMZEYVnq/TqZoabYIjlLgwRUxiUL2HNlDWDb84FK9kEhRZnG8OU8S2QMKHm lcgoJP1TFHJNK+wSayShCgo/FL5ynLbuAK1A/yN67ygcIR8lT0k7IMikQieD QePtiqLmSV4n6Lt966v/AY3BScFRMv8uMK1RfJOmR2OhTn3hBLcXcpnnrleY 0/ggJSjptGkf6C68nJyzprFEtnWd6nwfXG0dszpkR2NiH5s7E9APLWMth378 mEZ2SbuWcngAtoQ31Xt9SqPGoLby5LZB0Bb5ZsbvoJH++rddirJB4CfM/lz7 BY213Izr8ngBhNU3Prm1m8b9Hp4+bzRP4TvuWenocRrLO0tPTVqPwtOHasmt chrVRTUuL3JHIcPBpcK7ksYdXD41sDAKR+96NMjv0jjFfBtePzgGGWQb0UzS 6OUb7JOTNQ7E1ham7isa+6qXtBzlL8CAze52dhUjG3QiV7mJgH1QsXXaU4yf OBT4ZMWKgPxqIFLgJ8Y8daXqXL8IDJNf+hmEitHzytPDMXdeQktAncg9XYwX OjcEbY6iwCStvDRsRIx/8B463PmZgvOt2vORtBgHij5j2ndRkBrx1eU8hRjt uHsbTL1pSJRebDqgI8FOZqYbw1gMQ2v9V+E2CZr4Ctm9bRLw9OQUlN+W4F/V OcJjbjIodJL8/vVvEyhjy3KDomXAC3k0DPcn0PFMkJ9TgQxmrpoPcJonsGyb Xjm1IIO97s4HvqAmML8jN25/6yQ8+iHeZ7u9FM9QPyoDI6bhgOvU0d5qKZbq 8S8ZBSggc0Xj3PcvXqOfb1rExUgFsIPT9tWqXuN4ouu/5CkKKLkTkLNSW4am A5clXbcVQCTeD129WYZXinZ+nm2oBIOCX/L7MmV4yb7HYFmohHE3vpG2xyRy ob94KkkFRh2xBetvTyHjxly98LIKbv577ZqApiks+sBivPOmCuz8/t6cPTaF 7R1xVpVDKnBX1314Wm8ancKWbhz2UcNI6sr00cRplB5xrHq+YhZmWsPlY5+8 waP56Y/7fpqDtbDdwv6NHBPFztSDvxbAPbfwtfOwEkWRo9qNHQtgwrcLOSVV YuhItls3vQAtxVfI9gUlevEnUsVmixDyfcG+3y1mkMm7ZWiStQhtH+vY2hya waLzNn4pURpoueajo56ZwUbjdcXehu9goGA8KN1Sjbo2mY4vvBjEmz6+8e7i Ocwz5LuUH2QS2Wu2KDL+0GCMMAyZXSxisN8y70I7gzzVmhlzwlGXkO6rKsvu Z5K8k/qhpp+vIuZXR5R41LPI8rQE2aY9hoSZjmCvq0KH/KZ06Uv1lBHx/GS/ MXNBn2QMioiGc8bEad06M838atLhP3Fnw1zWEBTIHj4pNSLp2V926z0yIfQX H6fKnIzJIPHR9PxTpgRJZLlXCj4ig+mfXK2szAivhtQqYaoJKWuOudj+pznh RUozCpimpJvRkKV/lCVhnMSKTqheR+rCbPS4yoqQRAl2RIM5GTi9/61tOIdw uPzy03ClBTnSFLti/wYb4lWGsP/Zr1ZkTXZLJGfWhoiaM6hkr+GQcSuTRT09 tkQwz1zoMM0hDyWl1ehfXU9Yjt1XaT+0ITdyXXt2RtsRLOGyxjDdluxlb9BL 9rYnkud581ph68k9B+oddkvsCcY/syP/BwdGaW8= "]]}, "Charting`Private`Tag$30863#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwdxw0804sex/GxcotyhOTIDHkK6UEnpfL7d4TIUYl01akIC90elCZ6pMIN ReqQQjq6KT2o9KDy+9OTIYTCf2Njs9ZMG4Ywuu79vl6f1/f1Ngve7xuqTqPR kib7318/EayxOCTHRSJXZR+Np/Btk6l3gOlReD533D5h0j/flyeYmiYD7XtU d96ktTOePtRszQBnj8dv6id9nUxlTjXNhgW566t0Eyi0l4ek/WTlgVRNXbln 0u3auROqlgI4afzZo3HSFremLxsdK4SkZaq3Pmco3Ls6+l/DzCI4vPLr3o5J P24W/K10LYbccpc1p89SOBrpzetjPQB7NZGr0zkK89V4ycNuJfDoh+IILZHC tR/TLYdaHkHuluc83qQlWR4VyvAnsPfiO3ZtEoUpIePbB8ZK4ZqE51WfTGHT 2J5MBfMFXHUOKNROofDIB5NF8pIysDLY6bg+lUKjS801va6v4Lu0TCMnjcJg W4Lew0IIs7FLPZxOofpYbL3yGAlLbhavm8igsFngz1C6VYB06/bAnEwKY4q1 XvS3VIJQcfnSL1kUemWINfrz34BCtuWdOJtC45gKv77wt6AR9yToUw6FpCtb IR97B2sb7PoEeRT+g9tl3cvkQOzu4TnS2xS2kq+jZRIOXJEMef55l8I7t7Le 9JRUg3GEi5HoHoU+UT47pa61sOcc57H9YwqvTC+78pVVD4b8zDt3yil8wvaK OmTYAA/Xqt97WUHhNanTrwPHGqDArv+C4C2F+xp0Wf1un2BxfbNxWA2Futeq 1PtaGkES8zM0qI3CMe2nRQdWNcFVN5cTuu0Uik7f3KjIb4KXHFpVi4DCp6wT ufLwZmhmqzPyJBQGOi51/j72GSb4HH3zEQpvVOcd7GG2ge25V2ummHBRmVVq y09pA+nHG5si5nHRnVUjbBxpA/acRN1vNlyU0Yf9y5ooeCUOUC5aysXlq32c kxN5cH+6Z5hsPRcbHqjUreV86F9y+bLFKS7qwvQdMx0EMCOn5iAzkYsrrTKd E0ME8Pni1G1L07iYpiwaiP0kgCzm22fF17i4NP1zaPDdTsi9tiiUKuPiyWp7 r8U7hSB6s3b2GhUXb5c8s7p7WQgPLMzNv03hYWPW73TLWiHEd4z1F8/koQVr 6yvDFSKovv77tiQmD6vpZxxoet3w9Dy7NH0tDw1Wc3Xr34tB0y7FUyuTh4RF mHzduBguMPRfn8jlYbhWX02l41f4EDVbS6eIh6/aNM4+zf8K5Ro5nJRyHgYf WTJ8PVYCMdbLZP1SHt5/kMzd6yAF1hB8v+TZjlJdaYpXkBRmE32Kef7taH3E y8UmUwrsAh2zhl3tmL9K64ZwRArMtJrLx2PaMYOTEhb4rgfimJeeLSpqxyPC C30e23tB1ajQNtTpwEfuigLLC71wWuvUcByjA+VFG/3olb3gk5wcNGHbgXsO zHpWbv0dDL/c/+dO9w4MHM849tvAd/izPn/dlRMdmKdVkzDLTQFTTssuqJQd 6LI6bvupHQoYPRoq2jaFj7x9dr/J2QpgC65u4+nx0bDxvLj2jgKqadyQNY58 TM/y9kzS6YNAG+bn/EN8TLCs0/7J7YNzC+4Vt4/ykQWfsmVRAxBf2HZnY4YA aQVDZdzzA7Dk0Bo37WsCzJpizKv+ewCMugNedBQKsIoTZlL0ZQDsswfTn78Q oI2fqiDUWQmVsqoK3y4BSvZYF3eoDYJX6sd1Tk6dGJFxvLzh4hAkSWx+RCs6 UX2wgI9FQxCiuh5IqjrxakAV7UHlEPg0uzeZTu/CamM911TlEARzNx+0MO9C u//c/uC5dRiCOXM9Vvh3oexlU0Ml8wdEbFDFP8Qu3Nc9X/jk/ghkRLJ2p9wS omBH27QKzgi4q/LYhs+EuLk1yeGjaAR+6C/fVvlBiMtrvh7tNhqFL/l6Mw98 EyK9pFDHIHEUXkbdZS9zEGHWMTMX9s4xCOVYnkt+LcIKvV+zV+iMw+iyu4Wa ym5cmlpV7mY3DnwsNEiaJsZbGjGiTe7j4KB265EVQ4wpI18WRhwbh7Su5vIP 7mLcws98f1UyDiV2m/xycsQovaOjHCMnIN9w/rqs9V9R0+yMNX85jfDeIDH5 450Eq1alLzzhRiMab1pTYTwJntua68TwpRE3gh1EuQMSVL/43GNbJI2ICKlX hJt/w9EJGavlOo3Iv/TYZu/pb9jD879dr65G+JSuYJu5SbE2y3o+WatGbE98 +MZZ2INpOjW2N3bRiar4pGGdGDm+cGKU+uyjE5uu2DYwsuUo2rEfVHF0Qp/T abu+TI4r7+n5BfxFJyLZT/s1xuUo8dx+fGYdnWAwNN//XKNA14Te+qMrpxDP u+d1ymoU+GPwl2hfg6nE4fEujkVPHwZz/ZBeq0H4zly422CzEg++OxO831qT MG8f++ibNoIlB2ZsNvScSRhE3Z0a0j6BN+IipYsCdIjOBXM3iKPVyfg81Sal bBZx32RvlH7QVJLWJCBexeoRMb4JSzd6TyOtDofF+NnOJlr8oSopXosUDf61 Reu1AWFlqdZ0MFmb9OqOOJ5x0JBw8RCnv+/RIX1EF+1MTIwIojLTNTJVl5S+ CT5VdW8ucThul1O8vj7pMOsLw3Ungzic1/xRq3w2qQmDQbwBE4L3Iaqb8J5D evQGDpv7mxImLrl/3FQZkq2VIWqB9mYEuXxFqqjQiCxNervDdNCMiDV2nmbr aEyGTY0W1NWZE9prc2aHdDHI3VFxpTOuziOc82oiwqOZ5EKWXZ13kAXROhwe EnnKlKzXtdeKXmFJ9Dq+jtUJMCNf3o/PsadbEQYHkvRPMs3JODXbjbXtVsS/ i87KWn+Yk5q82HX7nlgT2tE5dlvq5pFGvYrWLWJrgvb/WZD/BTiihAk= "]]}, "Charting`Private`Tag$30863#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwd0nk41G0XwPFhrGMbIx5J1lARLXpIy32XKEseCQkpIilpL6S0eF5LlKQS 2UpKWRIqUzmjpN8szFgbS5YGyZJd2d9533Nd5zrX57/zx1fb54STnyiJRKoX 7v9u6mUfiTW+KVsOpMfZxmQTUFGnZb9XKwTFkdQuxAq9UFl2XUsrGm31SJlN EFo+4fVLCj8BnVBWbUkVOpURpymu9QBJNSXT8oQ2GvK9ueCfjuQT1z5mCP1N Pm1+9usjVBY8GssXelm29N/TM09Q8dwId1zowM3njv/WzEGabfaByk8JKKrv yBq3zEUSaro+FkJPH7NvHfEvQLGTSYWHhM4QaY3+bVWIts03ut8WenvVbb3J r69QhAjF65PQvUk7yscDitE3lUPvpoSO9Z3zHJspQWdT/jpj+oyAupkjicOa pWiadWn0tdDnv2isHiqkow93C+jzQqvdqWcPWr5HN6ib22xzCPBZicn9/oBu BiebDwstOhPKHQ9joIc82ZM2zwmo73BZOm5VjvgFmmJPhQ7OlSkd/foRZail WJ54QYBtQo/EaMYnNH2aGGoSWj243HkkoAK1DmpO78wlgGF5YXho5jOi2UkY muYRINny3WBQk4nsrhRSUAEBfMaHcwO9TBSYRSvhCP08O+lTfyEL0V2vlHu9 JMDhtMOBPksOYs9WiMYXEnBPmn7vhz8X2XsyzAyKCSi+YHv6jCoPRaWZkvlC P+wzWzwWxkN0ifz1cSUEBPFo/qNWNegyhNeKvSGA9pAQHflai7LubyWtoBMw I/865+SmOqSlfUh1Tuiuq48dhzPq0NnDKakN7wh47X85bSigHgUo5Y3e+UCA +zpTi18zDSjYuKndqpyATFb6qX7NJvSX4qoH4UwCxpNKVrbHNqG1LjenX7EI sPZnC2qnmtA4909mP5uAAfJvF3pdM/JalE0EVhNgvtnBIjqyFfWW/krLryOA VzArajDUjkJf5vDWtAv/RdJecsYdKObKtB29g4CN+okWkb4dyNpltcHO7wTc HM8ZC63pQMuo2WJnuwkwvd3g5/OiEy3qfx4vO0BAOMvIds0BAQofzn6+bZqA Z4Vv9F/cFSB9o2p5nVkCapO2kfU4AkQ96jQmMS/s19/tveqGLlSwL9y6U4QJ LHKEMUmpG72W3u3Kl2aCyuYWGreyB/newha1akzIL4huCTTuQ6t3HbguuZUJ fbS+WFvvPsRzsRs4YckEg/O2W5Yn9qFEPfXAb1ZMyNgkkymY6kMF/hz6F1sm JDBjD7t/7kcLezzbmpyZcF5wa2SH5yD6PryQORnAhHQZ9nVFq2FUn+sXoZ/E hC2bL3pe8RpGZYVLrc1SmNAaZLh+6MIw+nkVLu1KY4Jq7Y0ezvNh1LzL0zMm iwm3k+xtoqgj6O62z2bWhUy4rlctv9Ayghbpkv9lspngj2oeDJweQ4WxG3tV xVlAejRJb7kxhijxz65xpFiQJKbeysoaQxL3i2r/lWUBwTyskdM4hnIjxLOk F7FgufPsIz+LcWQuNhruqsuC3iMGuW0iEygteGuTlCULjiZcKuPFTyLj0VMp Q/9hgejEo3bImUSFJbwgnxssSN5LkAo+TqIKEbOYllssYKkrWcaNTyKJmqy8 jiQWGD599sXG7TfSCa0xN3vBgoF3dbyPmn+Q+4Orcmo1LAjqXiEozp9Czb8r Vdq02dDh1SRVzpxCS5VOetw3YMMefpRxVdcU6rgk0+q2ig3m7B8h3WrTwr4r CsfN2UAufEJViZxG93Y53o93ZENSmPaWCwdm0KYOTzh4lQ3lSosfbKDOoai3 DbGZP9lgGkeUWRnOIdXiZS5nhtmQLRHctdt6DiV8sbns8JsNsVONJkfD5lBG jZe6tjgHXNsTK5N759Bfj0ZzzbU50PecOj7DmEdtVSo3LDw4QNGOMGg3J+Hv f49+4zdygNh02+SyFQkfNNs+7t3Ggf+4pZktdSJh4x9mF8a7OSAa/3aHxzGh PQ4Nrp/gwPT8gP/XVBKezLj0xXBRFfS3ujzjiopgzx92Xwf2VAEnyWAFgyOC N72PfKrcUgUxxaZrDjSJ4KPRx+y+C6pgJ2/rhvluEeyYqN9QOlAFFZKeNpsW RLDP3ER19HwVvD8fH/B2jSh2sBypzdephjznqZyX90TxSpcs3cXHq+Emlb0y 8yAZW49jt3oKF0rNlpY4BJFxWUBk1YQyF7q8TqDZi2RMsdKz0NfmwsY8Jee9 98l4y+X7u4rNuNBr43lJrpqME3Z/LIr044Ll9UFuyEYxvFyt8r1GBRf+TCic c1IRx8H71obxrXmgu9RnYUFXHDNqR/ODdvHAYXtxdN4acbw3fIYv58yDJwlu aVK7xLEar3KnvzcPnEwyv5RdF8eV5ftVosJ4kHdkrZrhiDi+zS79EFfMA58W ZyBzJHDkQoBA0agGKCmdx081SWClfUqpZetq4JV7kHp7jwTuLVzCO7exBsjN kSF0EUm8LKhaQLargSw+fd0pM0n8cP2tOxlHa6CnQetZ2yNJzBqjK/a/qIGj vIH40hApPPRs31tLs1qgxYcgg0gpHDn/rtcb1wL9H4lfiYlS2HnC+HusTS3I cDXtThZI4b1k1whpz1rIrXISN+iWwtsX7WtJv1oLv1hvQxIdpbGFkQPVmVsL pz5H+JwwoGD13/PcS+fqQKPLWmJyHQWP7il0fBJeB2xR6edhmII11DwimqPr QA/HjUTvo2CfHaKeQWl10ES/eyXrBgWrhlzbsIWog60vs9OahihYLTHnYYJG PSimEM2Wb2WwZ1u7++vGeigrjbnMqpDByyQTisu/18Mxvr3O7hoZnF/QXf3t Vz18Vq4J8OqTwf3q64p2SjZASHzTn2B1Wbw9P9RqwLwBOv/tU8m/Iotbejvj rqc3QOFJ2T2qNnI4xHL/ms+hjcBJVgrJc5XDU32Q6hbTCD0VaunbfOVwx+k9 m8SSG0Ft8Yr+wHA5PCPX9SGrtBEiyq2ul5fI4eb4giyF6UZwpYUXHdWRx3xS UWJx+FeYLhpR+jAjjyMhcVFUOh8Wtf3Z4CStgD1I5q0XX/HBWIp08IeKAqac 9fsW95kPhzzlcxXXKuAM/0gfuQE+cMQMtx8+ooD9+4t8r1g0QZqL71mFBgXM sLF6ffhbE2RePNa3ei8Vk9/EkIlNLbCaIf0ncj8VV5+jnfdzagGG2DPx9kNU /GqFIEH3SAt0xHVpxZ2k4iwJsSTRxBbQyNi/92c0FWtIWp/ZPdgCyRX/VGS+ p+JgusuSg9mtkCBnmkbTUcRRCj5Vr9e1gY5T7YuA5Yp4Nf8si7urDQrvnSxl GCtibVaaDvVIG/A08+qDNipix+pH5ZKpbSC/Vl+G7ayIFQQCFl+qHWJcVYOv Rypi/TCTx2t72+Fa+uzu8QFFLOKhm54l6ADH1W9PGY4p4umRn4pyYx2gUX7m ts+UIj59ed/7G6KdQP/ex+OJ03DygWp1jnYnjOo1/ZOnQcNvPRYqPbw7wSe3 ZNdhRxr+mLOwidPVCVtLg2z4RTRsQZM9c2/uO8jbrgxQoNPwtPia7eMKAmht 7o6yZtCw/dpxk2M6Agie9SSKOTQcKnr8adYOAbxEdjtud9PwlTenNuy8IwCt SgMr27+U8MvPuSY+Jl1AquvA70OVcFZqSb/zxW6I+FmWGXpVCW9N39nHTegG aVKq6IYoJfxry1XW0efdQFu1r6LkrhI2rxXzIzV3g15kzY6Cl0rYucPePdei B2w3fnR41KOEm7WD3KiiP+DO48eeUU6LMMnK5Pz6nF7QP3s42HmlMm6en2Le cRuAVRbte9JXK2MNgV7d3LkBMCW5mfT9rYxJss391+4MwLZYm55wS2VseXpA pq16ALyyjJxfeCrjnJRj6xutB+Fe/aiJ6C1lHEO1yirb+AvE14f/KBhTxkaf Ft87rT4MXRP3XWU+qGArXZHAss2jYNt99FLCKVXMjZwM6vb7DQ5d8YYaGmq4 fkn7YtmZWej75HOFyFuCfaw+jN7ZIiJMo3Gp5YGlmE4bDnzlKsagoAnv1jEN fM/ZnW5vJ8nYMej+W8dFC/d0vvo5fYPC4H/0FXE30samq/xf5FXKMUqiKry0 JrRxz9Za5i9/KuOw+LmO6mod7Hf1uFieAo1x6PTFEtlkXXzeoDJQIVWJYeJv WG3vvQy3+wapDuoqM7g0I5lzG/SwfLbTglqVCuNd/rUUI7I+3nbIsoPhrsq4 KLLSkfNNH/P+euF7laLGoLSG7gwqNsA30ybkJIqWMLqztRPTw5bjN6detp9H SxmJyxeLlbqswKNpn9LrBzUY8cmHv3hrrcTt5VI1k0iL4Z64v1r2x0q8oSPy xlpxbcaf7U+m0ssMcXZI5bB7izZD0L0t+GOkEV58vMV652MdxqPNa5ZUea/C E3e832qG6TKcW5sU9vWswqT/zzLGfwHlj8r4 "]]}, "Charting`Private`Tag$30863#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwd1nk41N37B/CxpKJ6bCHEjJlSstUUkfrcqRSppye0IEWWFtlKoaSSUBSy ZQuJdipkxnJ/xr7v+xLZGypbKlTf+f3OP+d6/XHuc65zve/rumk2zoft+CkU ihYfhfJ/e/x1G6GNtrE7Un7fKz56nIXFTVTjo1RPQrP928ljPP8tLfClUgOJ s79FN5nzvCIsO0O4PYxInPime4LneDJYcRH1EfEmKNjLmmfVb7b3/zo8JmYF xibsee5ZkfBnoS2ZsO5bmnCBZ0bqUq25+aeEk8D4TXeeHbe7X/ih+Jygpj6M u87z++a+lJldrwjR4wJfA3ieO2/cPemQTtgK7rgcznMiX3fgjz1vicYRgy1J PO+uCV0z2/aOeBZD25DO82j0Xs7M2UyiVqTxaAHPQba/LafnswjOTcvcWp6b 5s+ETyiyCKqxuPI0z5fLFDS/vWUTqQN7NRabs1D2YXPVl115hK6Qo5M8zzYq IDDmgMSCVnSoEc/88151M9dIInnPa/fTPDf3ma2e2cMh9vVVhnjz7PFKhDXV VkgE+Gx3zOLZKGxYaCqxiLiln6zaxLO8B8d08mwxYbRCgzHFM7nrysS3+RKC yz+Yw7Rg4eKufuUvihXE+PkSzxKe28l89/HRCmKrrNvMOM8vUqOLxt5WEnK7 I1NXWrLwoNvBk9xd1UTY/otvz/EcuZQdOeJQR9zf0mZDP8HCzCtGbhdl6olK 2/AYU57juNqrpq/VEww/dWF/np3qxR2m9jQQDn2bQr/xLB5Xzj/Z1kiEGVKh zoqF8yuyn7voNRHb++y3Cp9k4eDNJ4cmEpuI9slFZw14zna4nvDtbDNh0BN6 sZBnc+Zm3a/zLcTW5EaNilMsTKp87Dqm2EFEUF6YiZ1m4Ux0lkpvUAfxq/OM nz3PBg5VA42/OoiP1zLX5PM8LvDDjN3USVyrs8txsmXh1u0HdQP9u4mUOvf1 A3YsrE9f4Ff+1ksw7ogcETvLey+x1Gq5eh8hs1c53pvnbWvDdf1t+4jsH61H xni+P/N82quhjwii+ClVnWPh5tAWO5uXnwgj8W2KcY4s9KlUNdp4coCYc06r 93Vh4bO3H9a+jBggmCv0TBa7srAxWl9gTfUAISb92SiIZ4bDsTwZnUFCuHNH TIwbCysFbqtTJIYIDZXW/PJLLJTa3iVeVzpMyNwG/fOeLHyTHtjlqM4lqr37 Uyt9WcgV5wYZWXOJY2VKxq63Wah82WjHunAuofTWQm+VHy/feiJJA7+4xEl7 7z+Od1gYVhFkb14yRpy7QfmHEcjL68CDyb2WX4jrhqb36++z8LFIla/YngnC dOSdHyOWhTu2X7W8YTVBfLXwnJzhudtpw5ZvVyaIHIpqemkcC2Ua7w1Xv5gg wqL+pTklsDA02tgwQHSS0HS4OlKdxELfNbUr/nZNErLdipsrn7HQgWh4NO42 TZxRj31R8oGFlORZdte9aUKvnjmYm8PCaEH57sqUaWJ0qvvcexYLyyvsFZ63 ThOCl31OpeaycJ3pQrKd7gwhZTU9E4u8/jyj/Ooj33dCa6OVQGkZC8+FeRfU h8wSLka7GqU7eP31PbkXn88SHsqPYGsnC2OOllPSC2cJnSJcZN7F+295iV3B M7PEurSmiKQeFm5Ie1ZmeOwHkRji3Qr9vPzkNtUXKv4k5vz91pJjvHwPrR/I fPOLyLSTuV78l4V9Vh1LOBW/iOWSfamqfGw0aQ9Qrxn8RVBvPHKJ5Gfj1qoR zyHZOWJC4OOo0yI2Crx9KirlP0dc12V5MUXYGH2NtuPKyXnC/oVupIg0GzkS qx7piP4mqv67fHpeg43CtNvKvVspIH235fAvezaW64VqXN9DgeSHxR/enGHj nWMJ2qsPU2Dxe5VndufYyB+Ss9fiPAXEO4LU2i+wce7PuENbPAXe+il01l1i 41i32bM6fj6QIuW3CvuysTpaeT1ZzQeSIbmS6YlsvC9apZJ0SgA8JBdqu/rY yNJenXXQSQA2PzxMXzvAxkErZ2LhqgD8A7QrbkNs3PZawvRolADQt5RSxbhs HDW09F5eKwCDSmSE/TQbd/l+qfPcJggLTqatbkK5+PP7P+6HpRZBdssVB2n1 XLTpMkWBaiGQnAsUqvTNReHYTxdcO4RgWZRB8/07ufjO3Em+d1gI5j5+rzUL zEWBTn9PNt9ikM568S/3fi6mtLOZrtqLIXuGnqAWk4vDLdRnH5MXwx3JBReF t7l4rn48hOW5BPR/G+u97ctF15LbNs7KwjBqliPfb5CHCoMGQrNMYdi+qFaM 3ygPq/iXvrgGwqDUxt7EOJCHayB4MvC4MGQ9bVtwMsnDDnbEjZR7wpDS86BJ 4VQe7sxITej4Jgx+gs4xo555KBZb3rkrRwT4zJwN1dLz8K3LMhMZw+UQc3NQ r4Saj9UxEp6vjywH9QSuayUjH4eLZR/r2y6HZXwPHjWuy0fZVevHHH2WQ/UD t/IxzXy8zdnjy8laDuKyFl07d+bjEXGf9+eUVgDDzTXsuk0+zr2flMifXwGS Hwce70vLx6Sr57maR0XhumEcPtItwFuPF/6bGReD/q33utdcQjykmeO6YVoM Ek7GhpzyRFTgXAy1+SUGX/b4lCRcR2T3c+vrF4nDX4eF3DWBiFNrOv59rSAO ugd/060SEG1eZR2wPyQOaxQ7VK5WIO5kORm2vxeHyPGpG3piJFKa+iDPSwIY R/MyxF1IvP25IMnrpgQcb3aIdbpI4lJKPL9OgATkKPkK1lwmUVzteHFWhAS8 +PnEPNSbxDX+DXvTMyRg3N3KZOs9Eo22FR5MHpaAN3Pi9nxpJD588sQy4LAk qHmZKoT0kbj2kr2HqcpKSJ4/rqJiyUE13V6Tx5orYU5dr3fqJAc3U45pcLVW QqLMr/0FpzmoH2Q47LNrJTj7RB45cZ6DVimqpi8tV4JHgMilPC8ORjZPafA/ WAmRc4I/KDEcXLTFZyR9mlfvfeDPzE4ODn6POiKSLwVUypYXNnaFmLyTebGn SApsPSnCh84V4sng2gfplVKwMDt/YadzIXYyFlWYtEtBrAHTRNOzEBtM3LbF TUvBiuGCJURwIRa8NaaqqUjDXtWBQXp2IUZd4OMejJKGKH+tOhWRIjQaOucd 5ioD3Wt2biOKitDAm/5qt4cMRP3+IKtVUYT6K7s7Z6/LQMlN7eWb6opQd8+B rRZBMuCeRdHX6SpClaca0/Q0GbjTZHfPb7oIRexmzmR1y0DkOxrKrinG6kFv 0/a9q0BvxfpQm6BiPDgYskFBQRaGqy859TqWYPWGwWZLhiwEu1pr11wswf0X ta/HqsiCpEbeCOlVgvv4P9bLaMtCFTVzFTugBPWpGy5LHJKFuP0vb86klOAW yxJyyS1ZiGl3uvrgYwnKN/8ymx6ShcN9hTKhR0oxRu7A343jsrCNU5dqaFWK q04nPnOZkoXBzMAlS+1LUWrKYP7LH1kwigx3iHMvRVHR8MRRaTkYHMzykooo RQFj9bEeQzlIih4zPdlSitwimxvlr+Ugsjci5qZFGSqGtp+7nykHcga+nX22 ZWhqddDMNFcOnhfOXDR0KsOCnzoqfeVyIJP3ZUjrZhmGqYk1/xiQg08Claq3 08pwWxQqK8vKw730V8XT38sw6Jx8nd8deRBdrT3uH1OOHO0w1v5geThl6Ruk +rQcZwWXpIiFy4PWaN7e7vRyPPV42iM+SR6E/AcOnCgpx83NlUpZefIw65hy dGSiHHu2e14enJKHm/XJWeuNKlBdrHX1rpOr4Q9ZEdC3qBKHg4dvRditBv0r lPM6YpUYL/xjZOT8alD0UO6Pl6/EZYIy74I8VkN55Pm6QGYlcmePG7SGroa5 fWOO36wr8Wl3j9PZ4tVw6VmEEYVTifLPhvDBegXo3Ozq9D6gCpsZs4x+DQUo uCy9ITGiCu8lCd3drKUAJkf5PsQkV+FcjLJph74CLNZ2CWLlVWF78NlRJUsF MD6oZ5s4WYUPL34Rzb6vAHMZnGmGVTUKE9+tu6cVIFB7uCVZvwY9dq5bkj3H O68C4RmHa3B4l8WbB3yKkOgcXNdgU4OF+zhz+v8oAltGW+9f3xr0Ohz88LmK Itw+tvyyTkkNjtmtKblsrQiXDCZujRrXYnWQ2TqxOkU4pWpGpjnWoe6DgFpu iyKsTUhKc/Cpw2ehuZeKuxWhxaTQnwirw9uRNM4VriKEZPm2aOfUoUL9rOo3 fiqY+i2PSuOvx9aOwhIzBSqIBySJKh6ux71fzH8omVFhSdNCm+p8PSZI+jb5 HKPCbd83zgJCDTiz7WV6twUVKhYizEdFGzDx7rxDpA0VpFaLB/esbcA55bj2 pS5U0PpTw/AwacBXNj2sibtUkJ9PLr6d3oCi7SevFZC8+0UXZedebET7v/7H 5Iqp4FMx6hlyoxHz1mZs9iijgofiqeVXghvxrDvly8ZaKoSoWdK80hqxUDzp xNMuKtC3KftYdDfipQP9O4JmqZB7b/dYmmETthfa8pmr0sD0qnuQBbMZJ3Z2 ynpr0GDmP7p1ys5mXMz5d3PiJhrY+K29TznUjFqo6zC8lQbCZRFu047NGJ4r WuO2hwY554fmStOa8d/MvOh7VjSoPtzmqE9rwdKnkpr5ITT4t5979SajFT8y 7hr2PaSB98uQtR5bWvH7k782AlE0UNpZ9/iOQSsykrkRhvE0+Gs9Fjt2phVv JZDzLc9p8GPPJpnON624I8qx7GshDSwzSqsdiTbMCii2on6ngcuhRKuwS+34 zKhKxv8nDcYDh4MC77ZjzLLGxi/zNLiWc2zpk8R2vBHSa5DLrwS2sqqd22va 0Th6Tv2IqBJcuwhnV63rwP40zb/3NiiBR8i7B/GDHbiiLO7xD2slGLw7VhLq 1YV8gU+OW9kpgeayG6lGEV04Y/RCouSMEnw8ksBWy+jCjtoP/mHOSmB6ucD/ 4nAXprQ2Oqt5K8Em9pzgIrNu1B1eAqejleDPiprTXro9aL/Iva+2VgkC3kjE BqzrRVnFirb5BiVIaWjv6TPoxdqtq+vWtSjB9OdQsLPrRS3HkvxbXUqQusGc mOaNqkJNK2O1RpXgzcp3QitF+/BpYrZZAh8dFnQc+6JD+3Bw28/KC5vp8MbF 4cbd1E8YbWZcGKNNh59fPQNf5nxCY+dEVpkuHYZN3jYPVX7CzOR9z2g76bx5 7HBw6rdPeHvpI7+WA3QQc7v/21y3HxltOrDdgQ7xHX/Lkpv78bTb1axlMXT4 0pKRqr16ELU2fcxaH0+HvLgdaXqbBlF4CrINEulwzERri+XeQcxwFfpwI5UO Wu371MZcB3HBJTRn5h0d3h2LHDYsH8RI57Tc7io62KteV5L0GsIKxybOq990 iBMsF5SaGsY4Va3CCgoDspdzmD7CI+gyHl04LMAAS/HPfQL0EZRytCqiCjNg t6Uf+6TpCNqc/1wcLsUAp6/bLlvnjODC2b9l1zQYsP+QJi3IbxQ1HDbUGlsz 4JmX1xWbzVz8eFbR+bUtr/7MfZnww1wMcpQQXXGGAeWfG22GXLj42XX+vzon Buj/95E9/JqLT65Vtfx3jQG6bitabdaPoXTY+Z4jUQzgmmxU2LR2HP/mvRw/ VcMAuTmp9CStr1gnririrrMGxEs/FSYdmcTcN7diVQXWwtjXwfVZ/LN4lU/l UHXPWoh/6ez/5PE8Cnd77XPKVIYbopNlvGmJHEqlhT++tg6u6tQ0i0YLkOHr VgmyzNaDaLro3GmOEBkSY19mTVWBnzProq9ylpLm4Sdql42owF2+gcZ69jLy 5+6nvx4XbACFEdeNFfP/kAND+h6F/qrw7vfi4wO3xcjk7RvlaqzVQDJryZMC dQnytZ+7mIOaOnS7zM915UuS/man9wt8V4eXQXei9AykyC3dSc/9azTgVjW/ fvOENBm9PvZ1zX5NyI60OMXyWUX6kMHR+1maINyH0i815cgDcmZPKxkbITX+ lK9Rpzy506nMQixwI7g9kJPmOCiQj+VtGNXfNwJ9QNThgQiVZBSlRR602ATX TtzIkGyhkiFqhSqNBZvgj87NmeIYGmk/LdhQocKEmesjj065KpE2b6eogQ+Y sG+731ieDp10vGWyYBTKBIE077Jt2+mku0lm27KHTBCd1n7KBjoZ8N39fkgk E244fLXL2Usn3+j8mo+KZwL/iX0L783o5C/O39bUl0zovdN79aUrnQxpXBZc XMYE08gtZOxzOhnz5MKZOxVMiEtMbJR9TSefXKrdta+KCZVXMoYfZdDJbKmQ uapaJgRL5kpEf6CT3eYSZ5pamCDee/pmeAmdVB5Ytat/gAmj53a/CP5EJzUz vRRShpgQ5hDRumyITur6df2yG2GCTIS3YNAonTRWjs/4zGUCoSlqd/cbnXQ7 T1WYnGRC/x5lHf/fdPLTq8/SGtNMoPz/YpD/A2+Vxj0= "]]}, "Charting`Private`Tag$30863#5"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"E", None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {All, {-10, 0}}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, {Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Right, Top}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.770786608999598*^9, 3.7707866190752363`*^9}, { 3.770786725541378*^9, 3.7707867548573513`*^9}, {3.770786785017281*^9, 3.7707869366691103`*^9}, 3.7707869798282413`*^9, {3.770789906968954*^9, 3.7707899613480473`*^9}}, CellLabel-> "Out[153]=",ExpressionUUID->"2bff8305-057b-48ab-b1e8-07cfccf6869a"] }, Open ]], Cell["\<\ Their exact energies is complicated but can be obtained in closed form (see \ Appendix A)\ \>", "Text", CellChangeTimes->{{3.770773600858186*^9, 3.7707736255557413`*^9}},ExpressionUUID->"22b2083c-b560-418d-951c-\ 765afd1b6a38"], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"\[Epsilon]", "\[Equal]", FractionBox["\[CapitalEpsilon]", RowBox[{"2", "t"}]]}], ";", "\t", RowBox[{"\[Nu]", "\[Equal]", " ", FractionBox["\[CapitalDelta]v", RowBox[{"2", "t"}]]}], ";", "\t", RowBox[{"u", "\[Equal]", FractionBox["U", RowBox[{"2", "t"}]]}], ";"}], "\t"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"\[Epsilon]", "\[Equal]", RowBox[{ FractionBox["2", "3"], RowBox[{"(", RowBox[{"u", "-", RowBox[{"w", " ", RowBox[{"Sin", "[", RowBox[{"\[Theta]", "+", FractionBox["\[Pi]", "6"]}], "]"}]}]}], ")"}]}]}], ";", "\t", RowBox[{"w", "\[Equal]", SqrtBox[ RowBox[{ RowBox[{"3", RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Nu]", "2"]}], ")"}]}], "+", SuperscriptBox["u", "2"]}]]}], ";", "\t", RowBox[{ RowBox[{"Cos", "[", RowBox[{"3", "\[Theta]"}], "]"}], "\[Equal]", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"9", RowBox[{"(", RowBox[{ SuperscriptBox["\[Nu]", "2"], "-", FractionBox["1", "2"]}], ")"}]}], "-", SuperscriptBox["u", "2"]}], ")"}], FractionBox["u", SuperscriptBox["w", "3"]]}]}], ";"}]}], "Input", CellChangeTimes->{{3.7423040482182827`*^9, 3.742304365438295*^9}, { 3.7423045681999693`*^9, 3.742304572760474*^9}, {3.742304932827557*^9, 3.74230509409687*^9}, {3.742305151167214*^9, 3.742305156244795*^9}, 3.742305295539606*^9, {3.742306731669509*^9, 3.742306751738092*^9}, { 3.742306782129854*^9, 3.742306792570657*^9}, 3.742306876282045*^9, 3.742315693414629*^9, {3.770741043756151*^9, 3.770741066817071*^9}, { 3.770773763976019*^9, 3.770773791825453*^9}, {3.770787223567017*^9, 3.770787226548905*^9}, {3.770787568733348*^9, 3.770787631673558*^9}, { 3.770787677613637*^9, 3.770787680580389*^9}, {3.7773470004982023`*^9, 3.777347000722836*^9}},ExpressionUUID->"304058af-372f-46d3-8990-\ 35bbe8a5fcf0"], Cell[BoxData[ FrameBox[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"\[LeftBracketingBar]", "\[Psi]"}], "\[RightAngleBracket]"}], "\[Equal]", RowBox[{"\[Alpha]", RowBox[{"(", RowBox[{"\[LeftBracketingBar]", "12"}]}]}]}], "\[RightAngleBracket]"}], "+", RowBox[{"\[LeftBracketingBar]", "21"}]}], "\[RightAngleBracket]"}], ")"}], "+", RowBox[{ SubscriptBox["\[Beta]", "1"], RowBox[{"\[LeftBracketingBar]", "11"}]}]}], "\[RightAngleBracket]"}], "+", RowBox[{ SubscriptBox["\[Beta]", "2"], RowBox[{"\[LeftBracketingBar]", "22"}]}]}], "\[RightAngleBracket]"}], ";", "\t", RowBox[{ RowBox[{ RowBox[{"2", SuperscriptBox["\[Alpha]", "2"]}], "+", SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "\[Equal]", "1"}]}]]], "Input",\ CellChangeTimes->{{3.769841802182992*^9, 3.769841846847291*^9}, { 3.7698420472232018`*^9, 3.76984206210172*^9}, 3.7707876946275673`*^9},ExpressionUUID->"971084cf-62a0-43db-aa6f-\ 7e6c17a43b0a"], Cell[BoxData[ RowBox[{ RowBox[{"\[Alpha]", "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"1", "-", FractionBox["u", "\[Epsilon]"]}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["\[Beta]", "1"], "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"u", "-", "\[Epsilon]", "+", "\[Nu]"}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["\[Beta]", "2"], "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"u", "-", "\[Epsilon]", "-", "\[Nu]"}], ")"}]}]}], ";"}]], "Input", CellChangeTimes->{{3.769856907491734*^9, 3.769856957206769*^9}},ExpressionUUID->"227afb56-178f-4bea-b36d-\ 6bdaf2eb91d9"], Cell[BoxData[ RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"4", SuperscriptBox["c", "2"], "\[Nu]", RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}]}]}], ";", "\t", RowBox[{ SuperscriptBox["c", RowBox[{"-", "2"}]], "\[Equal]", RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Nu]", "2"], "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Epsilon]", RowBox[{"-", "2"}]]}], ")"}]}]}], ")"}]}]}]}]], "Input", CellChangeTimes->{{3.7697492821883307`*^9, 3.76974929981513*^9}, { 3.769749592277866*^9, 3.769749608405692*^9}, {3.769842070462558*^9, 3.769842073438758*^9}, {3.770787703634163*^9, 3.770787726089631*^9}},ExpressionUUID->"e479baef-6cfa-4814-bea8-\ 7e485d5c874f"], Cell[BoxData[ RowBox[{ RowBox[{"T", "\[Equal]", RowBox[{ RowBox[{"-", "4"}], "t", " ", "\[Alpha]", RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", SubscriptBox["\[Beta]", "2"]}], ")"}]}], "\[Equal]", FractionBox[ RowBox[{"4", SuperscriptBox["c", "2"], SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"]}], "\[Epsilon]"]}], ";", "\t", RowBox[{ SubscriptBox["V", "ee"], "\[Equal]", RowBox[{"U", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}], "\[Equal]", RowBox[{"4", SuperscriptBox["c", "2"], "t", " ", "u", RowBox[{"(", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], "+", SuperscriptBox["\[Nu]", "2"]}], ")"}]}]}], ";", "\t", RowBox[{"V", "\[Equal]", RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}], "\[Equal]", FractionBox[ RowBox[{"\[CapitalDelta]v", " ", "\[CapitalDelta]n"}], "2"]}], ";", "\t", RowBox[{"\[CapitalEpsilon]", "\[Equal]", RowBox[{"T", "+", SubscriptBox["V", "ee"], "+", "V"}]}], ";"}]], "Input", CellChangeTimes->{{3.76984184954419*^9, 3.7698419288661757`*^9}, { 3.769842024390863*^9, 3.7698420690548353`*^9}, {3.770787735657688*^9, 3.7707878004617043`*^9}},ExpressionUUID->"090a6ff9-5f7a-43eb-b4ab-\ d74d1d2db662"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"Abs", "[", RowBox[{"4", SuperscriptBox["c", "2"], "\[Nu]", RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}]}], "]"}], "/.", RowBox[{"c", "\[Rule]", SuperscriptBox[ RowBox[{"(", RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Nu]", "2"], "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Epsilon]", RowBox[{"-", "2"}]]}], ")"}]}]}], ")"}]}], ")"}], RowBox[{ RowBox[{"-", "1"}], "/", "2"}]]}]}], "/.", RowBox[{"\[Epsilon]", "\[Rule]", FractionBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], RowBox[{"2", "t"}]]}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", FractionBox["U", RowBox[{"2", "t"}]]}], ",", RowBox[{"\[Nu]", "\[Rule]", FractionBox["\[CapitalDelta]v", RowBox[{"2", "t"}]]}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\[CapitalDelta]v\>\"", ",", "\"\<|\[CapitalDelta]n|\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.770787282569746*^9, 3.770787447191267*^9}, { 3.770787478182867*^9, 3.770787536221547*^9}, {3.770789864338099*^9, 3.7707898831575127`*^9}, {3.77108976532802*^9, 3.771089782974641*^9}, 3.771089818471983*^9, {3.771090245716796*^9, 3.771090298011766*^9}, 3.771090598536594*^9, 3.771208864580591*^9}, CellLabel->"In[18]:=",ExpressionUUID->"f7b3d1c9-0446-4aff-b152-c4559f8aaacd"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0nk41GsbB3Bryc5kTUgxGbtJSLnvCC2SLClpU7KVIsqeQ8KJyKEkJUsi iYqKU7IlsoZTSCmMZczMrwyKyPt7/3iu5/pczz/f+3s/a9zPOHjw8fDw/CbP /+/bke7LDE7cMl95f71JlMN184ZuVVsX1RCgKe3TnQgJhKXG6hhV1QSwcH/Y cSPkEtyuSVIRVL0JDuobMjnBaXBqS9DpnypFEPfwinjG+Xzo/u2V9l2lEgJL FM54ni6H5Z+GqGyVZng9pZkxtL0BemteBbHGm6HGVcxscawBHhRk1E8+fgfT e/uD2y6/AbsAuyNMy1aY6uZXv1zfCNdXVF0f8+yA+kvBZ5RMm0E6q4nvx8cu eP9IiU+I0g4577L9J1X6IK82VGGhshumMypog4l9sFdqKl1kRQ9Ye7YMd831 wX3xdV/fufQAi/+nc1V3P9zM0Wl2mu4Bky12mxLiBiBGytstVPMDdJYu8FGJ QThYsPIpxPTCxXfaOw2ODMONm6M2bsQAFD5+rlGcPgzeDSnnmg0/Q1eGBb96 6zCssfw3tiPoM6zz3P9S3nQEjNRjpvLnP8M7/ku6PBQGbM02Mju19AVkt3yS 7mgchf7TxJWs0K/wqDTh0yldJhgu09PK3T4ETGlm4s5jTDC4/8Xj57EhoJ7f ab4+jQmia2WlVcKG4O5mkZzhOSbI6ehpjj4cgtTmxJOubyYhbEXz5X3iw3B+ OPmHjRsbSltvTXxuGoYn1t9z1ZPZ4JSNXt6Dw0AU2Tvx17Hh7geb9OaZYfA6 K/W8msoBwT89ZUJqI+C6mBpuxOXAha3HVscFj0C2SEuMlNV30KZ9+Vm2mgHm W8Lcog5/h4RnrOA7BgwY8NMyIi58hyla/ZfjVgyQ77oy2vrgO+S2m2+5cIoB 1zJsd8RL/oDSRZPsxhcMiFFvF1/69APc2BqUzTtHwRPe32QFcGG1uPwxfYcx 4Mmdrfp0hQufw89GWhwbgwwBpYF3+VyYfPHE1+jsGDQ1n1Qu+sCF113lOdVJ Y7DeaSHXY9M0PPU1Hj/xdgzGvagPv/DOwPEa6KIbjUNUi21bm+IMvIzO3eVn MQ7yugGcl3TStq/oSXvGYTv3pf4tjxm4YmJtEOI9DkURDhUuzTPwSituQSJr HHxSI6o7U2bhb8nRbq+FceCbyR18XTQLNy2rZAWEJiDTpYmntG4Wvjks6MZR JuCdEsUyaXoWEk5fKbWiTYDW/cK3O/b/BMeKrqSifRPA+re7s07lF0QUlmeZ FE+AH0NzuPzRHOQcePO6dhsTvh7uE6ptnoOkuOaKC3ZMcOyN120bmYO33Z6a 8vuZYNIyFsJQnAevwWQ3BV8m8D++JykbNw8C1TfvqKUwISN8jfmFI7+hmvvo XPgHJgjPdh6PCf0Nuuv4JKa+MCHiTFRCcvpv0NatA+cxJri7D/bcb/kNPFtm 5Bg/maC9/bZvr/ECfHqxKl5PfhJqKQo3TSUXoe1Du0668yRsSGqqttJahISy 6ru/3CahYFnwyF7rRRDL3ORge2ISEuc+6PmEL4Je1Jzom4BJ2DeY1pg5vggd 3D+SPMmTwHwgOf275g+YO8T+87JhEoTXXKIOmvAgY4fIe3MNFjRtvqYXacWD 32qofFe1WHB5/x3j1Q48GKhZq9qtzwK+lBc2B315EDpEosGMBfN/WJ4fb/Og g7L8zrw9LJgccC7s4ONF+cRIRtF5FrRmUDVrWnnxmajiMaxmwd/lGwyO9PGi ZfnxyqA6Fmzv3Gr6h8GLoR6JIXmNLGhY7rZj8xIvZgUmBo63s+Dl+RTvFwZ8 6LLn2RrFQRaUOM0VlV3nwz1vn5vQ/rDgqmQLLecoPx4/Enz3hDEbKo1XV9j5 8eOCufk9UTM2jBw+Awth/BhrEvCtxJwNZiUUJ5cb/HjN+p75gBUbxne4RYi1 8yP79GsTpiMbLGPYHSFmApj+/L1Yrx8bfs1IBDnICqKBoe8T17tsWLvafWlp rSCypeTlrPLYYLetPKHEQBBjrfEorYAN91L33xHaLYgbFBZbGcVscNDLeVsd I4inhp5tW/OcDSVehopaPwSRqXZl9mkrG9w/Ob3mb12GkRI7DyVNs0H41rfT /n3LMEiskvZ5lg1PXP2UBkeXoVD/442ac2zg748LqeJdjt53N2o+W2RDfm8V 3d94OWbH03bnL+PA6H+qhV9yl+OXQdr8RzkO+HSyUipDhHDPtqgXrcYckE4J AWqcEL4yrxN+YsqBqj3LOGlpQqj86VlAmhkHRDpUdp0tFULLQ3cz7YEDD9sc BKkMIRS+MDxWYM0BzrsXIWn2K3BPC5h2OnHA/80l9zNUYYzrrLU0PcMB5RHr ZbN0YYzf9i267CwHWvhWPAhHYRytLqxXD+CAOib9SDggjOtPqewXDuJAX1V6 VP4VYQw5naP9MpQDW8sK7vQRwhi48sKpN7EckLrV1G/5QgTv/DbSuZTJgerK vyPfNYjg4cS6wdpbHPDttVXb+14En9SWzS5mceCNzHvvw0wRFFc45+afzYGQ lL5fwUqiKPLh/l6rfA58i2XKPooSxb4TB9XySzjw+Kyoo/wOMezIzHKye82B 1kxKSMk+MbTTROPAGrLPBsVsixNiWPhVLiWjlgOKCpqTpy6KYXGxZOlAPQcu 1VrF1FaIYfJC4aRDEwf2SV986qMmjs6nn92c6+TA/NMflFe/xdFulHUVv3Fg 5Zdfpg4rJHDc0Itn0xAHdIV4jo7JSmAmp4JuOMyB427iD6UMJZDrLziuzCDz CGhtO+klgat9N9ZMjHPgjvOJQIn/JDC8rW7M+jsHcsJ8mfoukmhgfZKi/YcD +jUrfsUdkkRZhwu7uaRrBAoFB49LYnGI+b3KJQ58TRpRTToriR9DaE8teQlQ vnvIZSJBEtVF00/tFiAgs2FPQ85LSVxJiJ0xESYgVWzDHWk1KXy/b044SIYA NYeuYu/1UihW7OaqJkvA4+tnK2t0pfCBhwa7nXSnSkmPn5kURvUqfVOXJ0Dc UEOkxUkK79dEqrQoEvD3PvngmDgpTB1J/chVISA6e2HvNEsKN8fFjzdoEmCv /8JfiyuF2+p1rx2gkflqz11zn5PCEm5hDpt01RCzs1NQGh31ty9StAmYUu/b U6IsjS40w4oDugS4P6zYfdJeGr9YJXQ3GxKwtdJvR+9TaZQ03jSx1YzMs5Pm LVEljX+HlS41kB7oZ8Rb10jj/CfldJvNBAQvuDWVt0pjpXcs7NpCQBnssrnG kMavN33ybYEA1Uaq1U45Cp59I21mYkkAT/dXfBlKwfRjIW3PdhJwaaI6J/Qv Ch7qv9C2YRcBK3hu85nGU7ArmLvrCWlpnQMNFekUHExUeltsS4B63Hub0jIK qjdKNGfYEbDTrM4ud5SCfGUPrx50IOCfvDy3eIeVGFFiHhN/gACNwJPBTjQZ PP6nkffuSQJ0Ng06ZuvLYHKodMtv0ht49usxN8pgE3PKwsWTAIvEHaMXLWVw 6SoHxLwIOJyv7VTsJoPz/rIhQd4EXO+Z0uNLlsG1V7NNjE8RIGh0cayUK4OE i8S+aH8CRmZu7BN5JYtGF5O6tocRkLuVfu5zvSx6mo1RbpI+ktSeXPpOFq0O GIlNkO5fJ9js2CuL5uH8mvHhBLx3DDDL4sqiQtJt8foIAqof26rq0ORQXITV pxVFwI3TvEy7G3K4WVIrs+USOT/DJyLVXx7P+LU9cEwiwDpi7cNtwfJYE+RM +Ye0hcxA/2ykPEaIV9t0kd5ktdvkYKI86ktSZOyvEkC7p8dde18ebZOYNjuS CRDxmPaqGJDHe9O7zQ2vEdA6EuHUa6OAD7JMBgfTCLAbSdFSVlbE8QqevPJb 5LvWSI/bOkUcKnKRZZDedc448hZNEX3u9p6UySJgO9+XTnljRdw0NZAdRNpC Ves8xV4R3YxigzbcJsDI7U2NULQiNhyOaym+Q4BSz5wzl6GIJRUHFv7KIYBZ 7x7VVLIK82wUOrsKCFC51utztXwV7tZImvxD2umwnbPTv6tQ8Wj0KO0+2dcv U9rXplV49a8zYdGkU3Wken4Or0J937p1+oUEmN14TaUqKiHrLKTEFhGQ6KPU EXtZCZdFdmQqPCRAV+rDassjq5G6XOMaq4wAYZg5NsBVxk57+5GhFwTYsF1/ qjmrosO94UGzGgJ6607wumqvwZqxpgKPRgIq4hsOq86swRm3lvKjLQScFAz6 2t6uhh9jfP1kOgk4HhBWIZq5Fl8HJIdyugnQ89Rqtz22DsMj1+dafSSgQ1pb JMhUHXuMKleF9xPw76PoW9r8Gth8MUKO+pmAMF6afetnDSxTFDjwcpDMNxC6 3a+cinM8j/J5hghgFKxJyw5fj6mFCunjwwSkrVcQqHTWxJXnJcXeMghIyTz5 9pgqDSMlBb8fHCPANe1Qu+gYDbv2p7s1jhPwa9u9uexqLRQNO3FWh0nAMMMi uC5OG7UHDaaPTJL/eYvBqrZjOrhGcP52CouAktggKU8dXfSZ1yDS2QTEOR/f xT+ji3JH+ouiOeR+B3KK4tr0kJko1n+GICBD81ZJ2y59rLZMyN38nYCLNUkZ uyr1kdp9Y6vwDwJ2r3K+926dAfq3NZi+Ib3V7+1BqQQD9LxZkOo5RUC2kvu6 1hkDNFqjWyDCJWBd/f3rdgcNMfyyzPVM0ik6dbSuakO0VdAiVk+T/XMF3jfT 6Nj73NUvj7T74ynVhGQ6bti7f7P8DAGnoh0Xdl6j42PJHiNF0kGO5R9F/6Fj aXGjrhLp+JmgqynX6Wi/SUpFlfQj07nfN27Tcb/q1jkq6bnapQ8FxXRk/NyY Zkw6pUs0qeEtHXWy2jz2kc7MO+11uZmOchoxdvtJ5wW2W25voeNMasVGV9LP ZFPmW9rpONh5TfAw6QFXilf3f3TU/qV924M0dVjBcmiYjmmXZcsDSeuXhyrn M+iYJVSWdp70pthPcx5jdIzb2xwYTNqWertsgklHM04YPZx0gK+q8o8fdJza MfoghnT45r/mnnDpmDAfHRdLOlZsqCdwhpxn4O7xONIZpXlXfv2io+3YUcUr pHOjBDyr5uko68M/k0i6eK+HRfgCHY++p3ZcJV2u1rja/A8dO3e0F6aQruZq zC0t0ZGzNPtXKun/ATkGn0c= "]]}, Annotation[#, "Charting`Private`Tag$6579#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1nk0ld33AHBzMsQ1Z7pX1C0zt0m87V0ylCGJSoOiyFCKUkR4k7jpipKk 8CWK0CB6pRIiY+hNRUSvrtl9nmTI7Pf8/jjrrM86Z5219z77rHU03E85egjw 8fER1Pj/OTXMXcTo2N3NR6XV1e3+ubS56hPDdi8jGLS+fkzV0HGDxfdlkQwG G0zmxXXkdPwhtZxDF2bcgbVXHri66fwNJ/4KPPmHngvjZj5nvuomwKdZr8Rf 9JdwNEBtsNE4A5Z09DB59DroimyaD9rxDDLq0/2H6e0QG/5ix7nsCnj8hN1x Qn8IXpqcXz5W8gmOw8c7IwFj4LqBf0lkTxfwZU6WdsSOwa6w6H2PJbshWUi1 sz5rDEZHXQZrNnZDbZ2neu6XMchKFgx6F9cNq53mMj02jUN3o5tGn+oPGPBi 5nfxT0BUOtHyqfoH+Ny4WNYSPwldHxq9T0v2gMBEZvfb3El4/8hR20OjB1L2 1vI9qZyEE3t2T1qv64F6VVlzzvgkDNoUcTsP9oDOw5ya7fv+wKbXg68N83pg 5NWnlkr6FBRmnSk4su0n+PWu+Vn0eBq6jNVi249z4Ydru2hF3TTMpJnKd1zg wu62GP0P3GnI8AjwfcfhwsaG/uBe5RlYMq6qZv2cC4LPsqUVomfgfLK7JX2e C8mhGpvPH56FhDyfgMnYXqiQXX7HRHoe9mcJ68on9cFaTm2Zhc48lFXUJLVn 98EDkSDuLst5sEvarna5uA+uTX8x8AmdB6sdEvmxrX2wpzvxfcrAPBQ6mpl7 0vph6JH0+Gz5Ahif5bjvvdIPYhqXmd0b+XBssBBfHRqAWrMEgzALPmy4a8R/ 3XsAruxL26DmyIdhHCbbPnAABOJLrA748iFtJtM+4doAzCyMHP+ayoetTmv3 rC4dgOFO55xmAX4Ui/VcU0gbhMZk5pryRn5k7OLeHyochKtFa40Ot/Mj11Ar wuv1IFi3bDFZ6OXHkDse7p+rB6FqycHtZov8OPy/ZdmhbYPw+ly8d4mRAPaL eioKzQ9CgdN07tMkAfwwWwrLzIcgTrpBO+OIIFYWOCXUvaP6aoNasb2fIHKP 2LLnG4aA63oK5kIE8Zy2m79G6xCYFsg67b0tiHUnxRJMuEMwsP3gRckmQTQy GQt/LDgM5pG85mBTIXQ9P73iPQyD3yPYz9wuhIGflzxdYjUMKR8TuK17hDB8 2EzR1H4YftHXTxsECGHqYu7A+YPDkPY6bEVfjhAam/i8sQ0ahqkJqUBHBWFc G+ZSFVIwDJpq7ouLmsLYJ+5tNvB8GOy3FbELjIRRIrbIxrp0GLJv7EsTtRPG y1L1yT/fD4OjQUZNWaQwKkwKlbO7h6HAy1hZZ1QYx25+2vxo2Qi4dzi9FWwU wcWMDIOeYyMgdve/k/7tInji5hWbdu8RKNzvp9rdJ4KbjNO21viNgOC36OBS /iW4wMyVigkagay2Upb/hiVocsfUJD12BPo+M3K6Mpeg8ID8IOvpCPi0jMS/ DBZFFQ/1nlNjIyATHwzMaFGcWjU5fuzPCJTuFCESE0Wx81Kg0O7ZERBvptuc fiKKElo2TsqCPMj/4CjM7BVFfvpu270yPCDqS4ITHZaiqfPd70kGPPCvvux+ iimGU4vu9jEePFDnWopMssRw/pBlcoQXDxoElj4KRTHMdP6pf9aXByuRM8p2 EcNL/Hs97fx50F56KyIrVgwV9V0ma0N5sOXpg7R2Ugx1Ct/QR27wgHa39pt5 iTiunVFaqfKaB2Uvr4bVV4nj8zjl1ZwyHvi22a7Y9VEcPSeyzs2W86Ba/qO3 65A4dihM0j5U8yA4vn0qSFUCJw/VL25r5sF/UUMKjyMk8OPvXyGc/3jw7LTE bqXtktjxe5NzviABjSmywQV7JFHFqqK7W5iAvirl9K3HJHF7veeElCgBysvX DJ8Il8SVbkrfPSQIuFxhEVlRLIlKV4X2DcoRsEcm/LnPimV4JsTsrtNKAmae j8q+mV2GHR3M4D5zAuS6pkwcl0qhaND+gH8sCNAX5TvSryCFnsSJoigrAo4e XJZPM5bCd7w0prINFY+QzjZPLyncbFu1R9ORgDTnY2elPkvhQAdP6dVhAjJC fIcM90rjgEmJMiOYAMPypVPRh6TReo7MYl8goFwoR7j7qDTKrwi1Hw0h4AeH y+CclsbcdWYSr8IIUP/fob2DbGnUpT1gb7xMQErVzqqM19JYZuFj3BVHwA3J tWkyK2hY+Uhs80AmASsc/83zXk3Dn4Smh0oWAc+STr8s16ehh9MnYbtsAlro Ba1+pjQc72h/k/eQgGXGq8QbnGgY3VFuuzefgKt7lIIio2lIDqROeRUTcCl9 btf4CA1HLhhsuPKeAAfDEn+dMRpGPovsiq6h4qs4k+A+TcNgx3uOMbUElPYM tbQIy+BUckBOVD0Bv1e27yxQl0EXfte/ApoIcM8vtvN0kMFTv1qS5L4QsOWl 3/a25zKowlxfyuZS8ezQ9pYqlcGn1uG2Xr0EdH7rjbEsp847duCHRR8BQXMH a4saZfCzyEOZhX4CnoKNVUKvDNbGjte5DxPAeM+02KEoi+VnvcsWRgng+/QD X1+QRTlOs9LVBaofBssyLvwti1LG60YOLBKwlC9VwCRGFkMUiWpdPhJk9Fyq im/JoqaDy40GfhJWRn+0evJUFsNeni+ZFyJhh2mlfWafLP5vo2joOnESbt6/ fzDGUQ7fGjv4zimQoFT69xtLFzks5K1/+0yRhHsth9WFj8gh72jUNk8lEh7M q/z4+6QcxmioDzQuJ6Fkb+LRkBg5XCO7uihelYRO8SgfvzI51KlffmRMg4RV Zz2DnLTlcUdz9X1dXRL0NnXvTjeUx4dW8P4t5bV8+wyG1svjC3aJo6MeCVuv be8LN6dcUZ0fqE+Ca5auU95Becz1r7pQbEhCUutvA4Hr8sguUFulvI4E4XXh /U/G5HH4seur0L9IkJj9UzkzLY+3StkxC5RlKk6nWfApIDfX6Uv4ZhIYdu7O HRIKuKnEeTICSDDzsHgnskoBbzamulzcQsLZW+Lph/YpoDvr5/rDFiRwJ27v EX+jgCrFN70abEnI3MI68/0dtb/FTtHajoTDnKbrT+oV0NHB3LKK8jct4brd bQpornKN+cqehI+7A0zvjSngTqulYvcdSCh7ZsvQ01bEDURb1wEnEm6f5B+y v62IDHqF7LkD1P30+ly84a+EL3aEL/p6kWB5UTN/W5AScr/ppTRQ3irf+W0y TAlLImo6tL1J2GRht/HANSWs/uXnPEBZO9tgTPOhEioq7dQ/7EuCuMe4V3Gn EtZq7vrXzI+ERu5Fpzar5cjwWppVeoYEe268jrq6Mr4aF8hpvUit63BbD2op I8vZ/4tKGAk2ZzaE3dVWRj6mWYM7ZWuBrhalDcrIcOoU/UV5K0PnnKyDMn6s G/y2JIKEdQery0UvKaOW2c5lepdIUG2ddh7rVcY6wQDznVdIGHrnHlFboIKn /2tiL3BIoCe0+cQVqaCdscf4X3EkOLnaOzu9UkH3e7naFymXTZlo/6hVwcoB +uwM5Rt6tNY/P1XwqtCA0fh1Ekxvv2UylVXx1zk683sCCdd8VJujrqhioIL1 /au3SNCnfVEzP6yGytJXMlzvkdDH6bt0y0MNHfVFFa9TThX709/vq4b2y6O9 31KWEFIqvBakhkr/8D2gp1LxTrpYfklQQwfdiIguytmd3/28q9TwRopym3M6 lV9O79vra9TxRYo/TyeTBDGYcOscU0dJLVHV0IckBG1ZLfpiRh21733WyqHc Z37g8XV+Ojr9IyXZSrnSumJmqxQdUXx7qE4OCRccOTdztekovmFrexvlYY+V 1efc6MhJPJqj94i6n2vOq2nNdFwfeutEeT4JVrz9f1Y4M9CO9fVB/DMS2iqP 8e/X1cAf7FnnnpckFMdUuTImNHDtHgOMLCfBUzjwR1PTCgyREOUrfE9S//KQ YokUTcyQ1qh52kCCwXGdJls3LeTzeegy20xCs4yueKDJSgw43XaO1krCq8eX 7uoKrkI3y5uqfl9JCOHXdmj8vgpf1JLrcr5R+XdesPYrYuJWs10G57+T0PtA IzE9dDUu23jFqrmbhMTVy4VeOq9BvvipR4o9JMSneNa4MbSRkXd5UoBLwv7E Q00S/dpo+XpoTUkvCVPbsqfTy3SQcMnv9uwn4Wfv1qDKaF3MzTkf1zpAvce/ jFQ+uOlh6T15/c1DJBREBdKO6+ljzPGz7QHDJEQ7H7URnNDHo3lfgT1C9Wdn Rm70BwOc5kQspPFISF5zt+CDjSHmljo1cwgSwss5yTYvDdFqNOtRKEmCnYpz dr2WEX4/4iDi/IuELX41B2hsIzRMIUylR0lIV3XXapwwwl3P1ZoaKWu9e5hk f8AYQ4/HcU7/pvLTq9T+t8wYRU0VbomMUfUfE/pYp81Cq7m29DTK7s9+M9jX WThykW2tOU7CiUu753YksPD6nY6olZQDdxd9lbjJwnexsZVMyjETgXHxSSyU GxDepEv5scn07O1UFrKZvhrrKE9XLH55kMfC26m6/1pSjv9XglNVw8K4SN03 3pRT7p/0ulLHwv6sgj5fyvfPNplbN7BwQDRRyo/yC4X4mYYmFq4PTzgcQLlz v6zXp88sPOXrPHWBMvPncvOenyycV2dJXqNsWHRBPauXhblGmnpxlDdFdUx7 9LNwh1yobTxlW2bq08EhFuqv8WYnUg7wZaiPjrJQ7dH6uXuUQ83+ni4cY2Gt 8xnFdMpRkj2tZydYaBunbJxBOfnJ/dipKRa6X8r1yKacGSF0vHSGhXN5CWEP Keft8tgaOsfC4M29SbmUi1a8V9u8wMK001mP8yiXja2aXlyk6hXcXF1A+f8A McEbCQ== "]]}, Annotation[#, "Charting`Private`Tag$6579#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV03c81e8XAHB7Z++tcI2srmiocxChZEQKkZVSiUpRNKhQZFRSioxKVioa KpFR9i4i2eNy7yd79u33+f31vN6v87xezxnPUfI8ae/DwsTExMfMxPT/89FF Tw4975TtB50jk6vu+m2vbFPc7aQYAqJfOO9ze1nAv+rSCEXFaKhS9Ty76Lkf HpXFKrAr3gevwnNs/l5H4Pi2oBMLCs9ho2yoW7pPMLStHLnzR+E9FEjaVqf6 RwFn9wCFrlADwx4RJysSkyG9Ni1wQqEL3Gf4dncqP4fZ5GKN3zFdcN6WQilK fg7mvnWDrUtdkDJitWecLwcmWRccS9p+gnPuWK/PfA5s2rZnS3RkD3CJ7xto b8iD5herLBTiN2QrH3i1vLMQLtWut9JzHwTponPZ/gZFkP3yrWru3UG4lmfg EXWuCFqTTVhV6geBbdY9ePxdESj77v8ouXkIemq5zK8ZFUMt61VtJpFhuJz4 XcFo5xsQ39Yt3FQ9Al6GomP+x95BwYvo7uPaNDCM67m+c+4j0IRpMVYeNFiR CaxiNfoElLNW29Xu0KDToj5TIuITPDbiTR9cogFfIOyxFC6FxJqYw85VE8Cn ylM1rv8Zzg7GTe10pYOLd93+4aoySOOtixAy+wNd4ayThSYVsH3bBdfLbn8g w5fGY368Anr8NTcS5/6Ah8iYiEhSBUi23hypz/kDu6R+Oe2jVUBC8m7LKMEp cDh45u3Nu5UQodLI/697CnLCdG4wLVSBL7Tcnzw1A5M5MXTPsW/AlDFf0n1z Blq+xd58IlkDyWyyPbVZM3A+cUcFxbIGvtUcln/+fQaCDENmJ3JqQM1hNcNn yyx8b9WvDAmshbEjlLxe5jkQMXS73cVTD36JYaXN8fOAclr51SebwH9YfbCo YAk29exfVg5vgz63Lq7ymiUIGxtf7/SkDfZ2Rmk3DC3Bcbspz4JvbbCpbjRk WHoZpgj18VqBdmB9+URQPHIZiibSLIrT2iE5VGn7OfcVmFwJbuOv7oByEan7 mwX/Qh7Dy2CvRifwKF2l/N7EhCuUptncjb/gm1GCzkUzJryVbPZQzPUXXN+f aihnz4TaJlcSI8J/AUv8u50ux5hQ0TVFya/pFyz/N+n74xET+l2hvLI72gsT PY7ZTSzMGGjlrsT96DfUJ1PUy+qZMe+AqBUXUz/cKNLXc+9ixn1d+ZdmhPvB otl483/DzGjf2F/+Q6UfKjldLY3+MeNhQarzjV398PFs/NF3eiyYWN8ZEp/U D/kOS88Lk1gw/Gqw9ajGANwSrNNIP8SKw8p5k5K7BuG9oVzxHn9W7K3wK1d2 G4Qht5OweoEV35iytigEDsLWfBEHp3usKEi7XDKQNAhjlq5haxpZMaTU/8Xd /kEwjaA3hWxlw4PzJQsRp4dgcU4gyF6cHafjO6U9o4ZhnZznv3/r2FH3SLXK 3+Rh2LOjKDpfjx15yhduhz8fhieJ+1O5rNmxQi/BZnftMNjrpH8tjWDH4lXP c108I5B/ZIO05hQ7lrQvPWmKHAHPbofPrPUceDJId4wzcBR4UvpPBHZxoJyd ikTqxVF45ewv+3uEAwXiO//Jx4wC68/IkBJmTnyetaLc/3QUsjpLqIGGnJha sp/u2z0KIx2K2b0ZnGh5W7fiBo6BX/Nk/PsQLrzpdHMgeWUMhONDgBLJhXH3 uXIzOMahxIaDcecOF86pD+26LzQOvE0KuwJecOH8Ib5T1pRxyGuwZ6cMc2EQ e353m904MGrfhdyx5caFBV95/8xxCKy66nmSwoNlCZfsIjfTQH7InGOeyoNP M3/yVhrToI6FOycUedDKw6Vl2pIGKhg7FX2ABxcbjVtVnWnQVXL3ctZNHnQ6 e2iZFkID48KnqV0ED3rvLbSaf0MDoZRvP03f8WLOB6kdOZQJKH1/42JtJS9u kzpYa6s9Acc6d6+1a+HFsMUlxoT+BFSJtRx1o/GilfwnDyaTCQiJ71oMluXD KyMu/FkuE9B/jSZecJkPG/CU2WjMBLwM4NsrabkG72drRvaOTkD9A5GQ/H1r UK43pKaQPgEjldJpJt5rsN5Z1CV4ZgKkpdQnjl9agxZhauWj/03A1XKziPLi NajfMD5oKTYJ+4QvvfZby4+HPx49ooWTsPx6SuTTCj9O+c3aL92aBNHexc32 3AKo/yqS7+HtSdDmYjo0Ki6AtiZi5w2SJ8HLlT9PaIMAshnkFNmnT0I9m+aO w0cEMOL+jhCN15OQ6uh9RqBDAMPXUjx8OiYh/cIxmq6TIGZllG04LUoH3TLu xciDglhSwP1xQoIOZWzZ7L+9BPHx9rxcNxk69MUOKcYGCOL68dAx6lo6yD8+ 6DQeLYjDRjp/H+rQ4UGlTWX6R0HkYNw6e8qSDolr9FOF1wrh2m18n06E0GGt fWvuUTUhdEk6pmkeSoeXSQHvy7SFsG7xsrb0JTo0K+S3+28VQin1JpHiq3Tg 36DKW+cghDmnnbe/jaPDjX2SwRGRQrijuXBxJosO4WmrdrOTQjhfPf03vJ4O trrvAjVnhFBC6DNbSyOZX/npBM8lIbTT8cmXaaFDyQCtuZldGJ07bVafdtBh WqXLJl9eGNd1BBkk9dLBM6/Y+rCtMGaYH1LuIehg/N7fsvO1MN6yOd+vKcgA fiuNowIlwlhY7zorKcyAnp/DUeZlwuj308WBVZQBwauu34rqhTH6mB9/swQD CmHXzoRhYXSQ+T1hqcAAxWqKmZWECMqpWRpWaDGAqa0PP54XwdZ1I8/GLRhw dbw0/fwVEQym7lzJtWIAN9Mjls1RIuho3lx6bDcDhLUOVBbfFcE3k6zPB20Y oBLZsvNFoQhae/nfKN7HAKutX/ZkjIjg05o5n2EvBtzOzHSNshdF9r6CusRQ BkiWXPlkfkAU3e7IX+K9yICHze7y7IdE8e/UF9XwSwx4+lem78oJUfwviM3j aDgD3jnd8boQJYonoq2GFKLIenmv+fmXimKtfYCK7m0GqJ45HOygIYaPO05r zj5jgNaW33vTdMUwuzAjXfY5A/SZ9uvQDMQwzsIx2zSHASYxliOXTMXwWKlt QGweA9yy1jvkuorhaw5WdcGXDEhqn9ZhiRPDVYmVte3vGcC+8dLoixkxlN9L feBdywC+lYUvy0ti+LO/z8CrjuxHeUCqGZM4hp5czjpUT/bX2tOxm08c1/Wn rjo1MsDIx6yCQ1Uco09srNvUyoAzd3nTDu4XxwNuEb6VXQwYmru3j/eTOM53 +fALjDEgw5h6+leFOHZzlFz/S9o9tjHuRa04pnj4dNLGGfBTmb1mb6c4trPz C3yZYEDL3lNbH86IY0PA6oonwYDSl7sVtTQk0Mlp2iVgngH3TjDT9tyTwNdu RE0lKwEO7x9yKKVKoF+u47sENgKE2Tetm8mSQN5TrkUH2Qm49dDf9d4rCVSL F+ye5iDgal134+8GCbTZP8gjzENAgPqb1wFskvhmaKeGiiABVsN+YYmBkvh0 PCL5mQwB5mHr8nYES2J2kkmKoywBJmI9P+cvSmJvvUcPixwBW8ysN7nESGL1 ooy8izwBGk90ZtY9k8TYnJhPLEoE8PrMHinuIeOO5ft0VAmoHwpz6NwphRFb I8bZdAn4FmoQcWOPFP7wEX31kHSlKPHSyFEKOfeFdVL1CPi445BAuqcUVvEc MDm0gYC8LJPao2FSyMN9LuOlPgGx3py48koKRa8n2hluJmDPULymvLw0Bv66 vabdmHxPc6jdVVka09lLNtqaELDrtOHFFA1plOaaGqkjbcHS2yxpKI2c8gMj 5aZkfYqaZ0VspZFQaTuebUbARteqMq5waaxcMOA/ZEmAbPuS48ywNLmP2ofD bAmgVXhe/pYvg3y292g3DxKgkNDpd6tIBuNuPHszT9rBbY+jwwcZjOJylfFw I6B0cbNG3zcZbKN/KNR3JyBRS6h9YVAGZS1OSf04RMDWe58pFGlZ3GDJZ8ft TUCMn2zTteuySFf6l6XqR4C20Hc5U3c5ZJVN4z4YRMBI7Ej4XR85VFZlmcol /YhnYXT0mBwWuYsnLZPmY5N8FRMsh+lbzkrfO0vmO3/A/HuCHLayL4k0nCPg Sc8v/6OVcvimaJlT6zxZX/bw5zh1eXz22q+59CIBPDDn0TMjj6IBH/IMIwkI NlbjerMsjxpyv73DSI+YuhTEMSugud25/i+kv1iUL5sIKCC/saC6dRQB5+1j bz/XIOPNsktu0QRM+KhUnfVQwDmb7R3nbpLziXFUE2pSwILpDt3LcQTspDsv rHVUxH2zplyLSQSkika0XdqviE7ZCQU69wiY3Zr7osdFEad71dV9ST++seKb 5KmI8ccYKR2klykPO7kDyPuPckMLk8n/4vnr/Z8bimiU5mzn9oAAwU730NIy RVSlxpxMeURA5xdvZuf1Svj98RmprEwC/hj/lA7TUcK0QhamJtKc5Tb6jzco 4dePy9+WSBt83uI7skkJF2zvsNhkEXDng2DDKTMlFItwklgkbVP0MfmmmxI6 V67p3fGUgOonorqf4pWw+dr3hJpsAoqjKt0U55SQan3y69V8Ag6zB/U1Nq7F q61T4zFvCPA6daGY78E6/HF5bsvbTwTo+Go27vZQxr79hQbVFQQ0Ca/nDdqs gm8vGmsE1RDwoSA8ZT2rKv7p4s8UaiTgArOGbf0vVYwurLcIaCXn13Pewr+I gjJp0TwbvhMw/FTpTlqoGm5SMJLf3UXmrybF9t5RHa1f52RZ9hAQ/+DwVw9F DTTS7lz3tZcA5zsHG/lGNdDujOTzpT4CFnc8WUor1cTQoHI7hUECBodNgr9E rscmkXwfxhABGdv0ZBo8tPD++DJL8QgB+deChHy1tFEoqdfDYIyASEevXaxz 2mjK3d8QN07uV0/688gGHeSbvOcwQiMgWT0lv2GXLjYmWqvyThJwqSw2edd7 XZztsvTTphNgLeP4pFZZD/26lDr0GQQY+391EYrWQ6NgrBUnCEiT9VSun9PD ai1LxyXSyhXPkva4bMBIJjOtT3/I+rS+aLSWbsAvglsGTk6R/Z9ha6nRoKJw n5up8jQBni+nFaPjqHiNyY6nnPTx8L2rVglU3DrwsKCCdNDeoh98t6moVCpv X006ai7oVnwSFYufVCXVkS7YvLRy7xEVy2ayxb+TXir/9/1pLhVbOHmnaKTj W/liK79S8crCIWHRGQIeZJ44cr2GimnNbKnipDPPNJpa1FHRyWtMTYr0G/H4 5bpGKsYMnjSSJ93jLHKkrYOK3VFRzmqkKYNSpgODVOz7qHTaiLRu0Xn5rGEq jpsPTW8nveVa95LPKBV/6U0EGpPeTXlUOE6j4gmbryfMSZ86pig/NUXF25ll rrakQ42uLL2aoaKbbsF3e9LX1gy0n5mjInoP2DiSTn6ReXNxkYof+hXQmXTG ZTbfkmUqGnxQf+tKOtfOxyR0lczX5YKWO+mitdVy2/+j4kEesUwP0qUzqkv/ /lFRUmBBwpv0/wB87/yN "]]}, Annotation[#, "Charting`Private`Tag$6579#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1nc41t8bB3CbUNbXXo8tKzwaUu4bLaWhUBkpUqKMbyl8iaJISHZkUzYN imRl75GyQlY8PM8niYzK7/n9da7XH/d9rnOfc67rLWPnetKBiYGBwYiRgeH/ a9JtOzati4n6VY66feEKu/Trekkmp0lecJTXxcdRUQg2GioDSKQHIDE6v8VI URGSqsOkWUlPQPttua2F4g64utfj2i/pHIg+aaCyongAetcdo79Ll4Eap8ZI zlYLYB8aV6JKN4OFU+qlEJ1LkNaS4j4nPQBGBr+2Xjh/EwqLHgxd1aBApodh 8l/ZYKDwU0IPX6BAvnzsVjWLYFC6eVhfOZoCvMNfM64/CIbUPVxpE6sU+JuY c9r0ezBENodesqyfg7vixk7Hqh7AzYlHCwetqRAYuyv0nt1DSOFqDeDb/x1Y 7U6x5VSFw2XofjL/7yIcJocGzS9EAkP6cvnQw0VIvxd+RosnCuJZJIZbMhch MDGD/6FaFDQ1X5LK+bQIwussI76Xo0DZ7He6w+6fIE+EyziMRMGMo1L+COMS lATpR9l0RYNTpG9lV8QyPO2eYZBoiAWmpfTRqpxlmF1oajg6HQsJp5sYimqX 4RPL9YYnbHHQIiFgFPZzGSYj1TXuHIwD1efZjcZnfoHTgnRbZEsczL/r7aqV XoHJ9eMJc33x4DK1deJ14Sp0UbQUPjElwti5AY6a5lVwOf4gq3xrIpzqD9Zo n1yFDPOZmPoTibCr9ZvXlNgaeAeGzR5PSQTmF1m8QkFrUFvgf1Vf/ynE+8jo 37Jdh8GUncL1AUlQIyD6RJf3D1DcBHp6hVNBJ6ypcr/qH6jy041eUU+FZ2ye k6YH/oBdmFDq9n2pELr6aZuTzx/Yynr7yKpbKliMRjckzPyB9oYMxvzWVKDk 8v5cr/4LBZYq0TP30oBTJlBpdBcDKgj2TkrxZEDTnsfbbu9nwMCxI4+XFTPg /pnknZInGfBl7czSjH4GMEW8PWjlzIDjz/5kSLlmwNrf+cufkxjw34ai9p6u DJgbNs/uZGLE/+5zH3vwJBPa4pW2VrcxYtBJimCCwTMIea2jZTvAiB+UrQZU bJ7BoS4D3b9TjKhUpTc/7PkM6titjfdsMOLNbB1aVvEzqLgZceWtFhPG/TL5 0y3zHArMVnOKY5lQcMw4oYkzG8J5W1XSzjOjgm7b8/WVHCjbKVlyzIUZlXba t0yL58LkOVf4/R8zinN4jjNBLugVCJidjmPGUUO/G533cmHG2Np3cwczsqcl fqoTzAOjAGqnlx4LZsb8WPeEfFhZ4vE4KcSKBn4b9b8qCkFO0m5jQ44Vc/xo Jm3ThXBs3+sHBVqs+OHttM8obxFkRZ5J5jjKiu3Tph0fHIrg5La0xsoAVixk chY23lQMBY7aYqoLrPi3UyHBuqIY7IbMqpjb2NBqE4dtwN6XwJn49Zr7ABve kxN57WDxEl5aukiMTrPhZFz+ZxfXl8A8GORVzsiOCqcvVC+nvYTM/nKy+052 XGD1KJnieAXTfaTskXR25JW+rRc08gqcuuYjyrw4cGHw3AedvBLgj/ACpSAO 1GHrSY5qLoHy42y06GgONIm7biQ/UwJcndJH3Io48E2nveewQinkt59kVZri wOqY0YJXGaVAa3nrFX1iEwahRMeZnDfgXh9o56rEiWIrJh73RstAavIA2zKZ E+PT+n45MpVDK9OmXB/kxOOsScyBCuWggGELD85y4iZvsVN2V8thoDzGP/Mh Jzptcdzb+rscDIqfJQ8QnMhU+3c4T7kC+BKbBo3ecmH4wfSHZUWVUFkWcrul jgtNT1d/tRusBOd+E1nTbi6syD+3aMpaBfWC3VfOUbgwwTJiL7N1FXhFDKx4 SnDjHPm4zHm2avh6jyJU6M+N0VO87pyV1fDCjfuUiPFmnJc9oTxzuBbaEgS8 Ciw241PLYxbHL9fCdJ1YiuHFzVg4Z+g+G1ALYqJb5676bcbKyldf3ryvhcCa /QE1JZvxb9S5okbyB7Dg93vlJLsFWdLS+FhV6mDt1YLA+/UtmMl8UzPCoAH+ GVnRPbmJB0mBrbe4HBpAg4Ph/DchHqy79TO4PrgB7K235PNp8+D5+833f3U1 QBuL6r5LjjxY8H3qtM3FRkg2v3iDp49ef8/1+d24Jkj7z5mieZoXSXOMuUVa raBZvWklyIYXS2ndmo2WrVDNks06as+LWtLOwtKBrTAWNkkKc+NFEwnG9YjP rSCVanN69gEvKoyF5gTcaYOEuuN1aRX0+pynVX1f2yFys04yvywfVtrvkXzn 1AWyJ3vyrijzoVk9k/ztgC54EetWVq3Bhw4t8bwXn3ZBl3TBRxc9PhwoTXkf 39EFW7QVuVrN+DCrypb0TKcbQixEPAOC+NDoh4vtKfYeuJvy2/TnPB9Kq7vd b2/ohROab91VF/nQ3CJSzGKiF6Rqrj+2W+VDPEuS39johfJxSlcXKz+qDVbL vNT9CD8UBo4XSPGjqvYcxhd+BLv8kqOXTvCjUPkm7X3JfWBQ5mLc/4ofIwjH 9oaoz8DQO4YV3gK4eOx3yULjECjeuORppiKIGppq/qTccVDfPXoqRVMQqUkX dM++GwcdhjPbKDsEcc2dcyGobRwMQ42n/YwEsf198YMG2jicy1Qzy7MWRMox raZa7QmI/fhjG9MjQXx+bpgz7O0EsG73+1a0KIgxfWVue8ongXv9V+3aqiCO BW9eHG6eBP4at+T9DEIYEpNv4jIwCaSjduZD3ELoFq0naL8yCXsc9n9gUxRC 86PDApHbp+BGDFeKzRkh/NGzJrKQPwWTS3EWXO+FMFbx3K3tj6Yh3YB8/csH IfQ0pQzMJU2DbVjHo6IWIRTu910Ny5+GQXnW5lP9Qmjzw9Yipnkauk/9q/d0 UQhNPU1Yipm+QeULE5K6ijDeOSZWKuD+DeKuMVKOxQljClemSqH+DJiVPWWT SRZGiZNG0iOHZ4CfdZfcYqYwRtpdv7hmMQPhT12s414Ko8UgVXTFZQYCW4c6 RtuFsYht+9Cm5Blw21r6yo1FBO3fq56IWZmBw1NOvpHuIvjxcc5wd8osHPCV y9/nKYJvJBuu++fMgqHg8ODybRFMvuV0WerVLOzef3SXVagItlM+v1NumAWV rG2Lcs9F8FujVaDX3CxwOfx0LBkWwcj13F3SZAq0Tfqa9R8UxaLI3ZribyjQ 5LMjIOSYKP7jc1X6ayUF6v4hXuwxF8WJHX1GTxooULHvPE+anSi+2VweNNZH zz2Zhi1XfEWxk9fVq32RAmEX2XH9pShWbLGq11Gfg2OTEapSUmJ4MSDbozd2 DtpUJz9ay4vh5cGAg6lP5+DI9Z23E1XE0HD8qpd9+hwcYhrpEtkphvmZKdBe MAeGJNWbAifEcIdcLkmzbg62W9dXc9wVwxdLrEcMiDmQ+LhqvjglhvdDXkT/ 0Z+HBPGjG1rzYqi14r3w2mgeRO1Ts91+iOGeHWNxFw/Ng9CPA+vUv2IYsrq+ km86D7y80akzwuJ4/6Zw6IT9PDCbaMx9MRZHj9MtuYv354Hywc6/qUAc1weN /640zoP0436n8NfieNDfelGhbR7Mzh0zN3snjq48ccVHuuahckVXZaxJHI9e yaq40z8Pkep8H39NiCPJ5k/mk5l50IurUlISk8Bbn2PyAtmpEOok0XnvvgQa 3M9sS0Mq1OyMLDsSJoEKQ+G3GPdRYZmFI5MvWgLfnDe8Y3WQCudTFj2T0iRw LcXyy9+jVND52CJbUiGBS95Zs8xWVPiy1+vm5A8JHOQej+K9QQUNvk+SRraS OK/9X59XOhWmw6bvxjhI4t0Max/OLCokcf769s1ZEhMPhpvEPacCN4vIy1BP SWS3jg/MyqcCZfnsgU+PJbHT7wB/TCkVsoa/uFypk0RG7f1uDc1UkMieqnq0 VQo7xzZ+J1Gp8FF+WX58mxQ+srbYV01Q4WEaW4jODin0ZrjgPbpAhbUEJbMB QynMfK/W9M8yFfrDrszIWkuhRLmfn9VfKkRdp/KWhkuhoC//uM0WGnDC0oXh RSnUnNgRf0aNBp4Gyhyla1JoNMEcfUiDBtNGVoWPGKXRx3Aud7smDWoP1awZ 8kgj6+ubwK5DA++TYVE5KtJYbMcWF6xHgzkHhfqbF6TxJ8dWT47DNGgLNVfm 65RG0b2SaVIONNj9KLiD0ieNrddPxb27RIPsx+9u1A1Lo1yxMlo40ug5Xabm FkUaZe3kywOdaSDVtaxGMJEwNOFFdYM7DT4N1NabS5GwjTs0aNyXBgeplr9k zUnoFp4zHBlNg+R/Anr9zpCwsT1I71sMDX7q5RUNW5HwyK7CHt04GqSGrF+O tSPhre3DJQNPaLCm9LR/kxsJGfbmp7Ok0CDf7kvZ9xAS+q0kJGzKoQFvv61P ZTUJN/Y9ZJ94R4NLG0FnxOtIuEOLPMD8ngYVisU6no0ktLGd3SVXSYMrHgxU rQ4SuuTO5NlU0+fFn2aTNURCYhtPWk0dDW4cHdcPXSZhi5N79cF2GvTXXmS0 VJPB7uuqFVZfaPDdYFDMd5sMTpdpsxuO0IC95rhOqrYMhtS8Oqw0SoMdVbsv T++SQRd15RraGA2i3/G2/7tfBmNznGPcJ2lw/HVF/MNzMsiYGiR9aI4GDVn/ aL6PkME3YYVWhis0GJEPMR6LkkHKhbPunKs0WMrYsGOOk8E5Voa8brrl0ykx xkkyGHVJ7JHNOg3uJlev9+XIoH0xyx7nvzTQj7vaSKul1/uqadiyEFASXHeO tCSDyVte6r3gISD7cKtI0Aq9H8/CaxdeAhK4e3qo6zJY6PPbTJWPAP+I0QPv mGRRv917Szo/ASbxaxoWvLIYGZ394J4gAePPNTceqspiUv2RQgVxArY0Pk35 dUEWj6TVFvcoEMD4IOPsOQdZfLOl49AtRQJ+Hs4VqHeURY1TTariSgQMdLwJ inSVxYb48E/nlQnI/NTjqu4ri9lGikMTKgTsnuZA+3hZXKqT8WreRsAlVo+x jg5ZdLi/z0tUlwAx6ebP692y2Pk7930K3R27JDuV+2RR8lOor8JuAnZcrX9/ d0gWX0c5/rtNjwC2XsHEHTOyKCjSZbh3LwFZqaXmyYxymHI7ZrOBAQGTeist 13TkUPnm2UjqIQLs//2vhDtBDleYdItXLej9tEdKtibJYSKJwe7CaQI4f2Dp gVQ5FJ11KG2iu9id7Y3/Mzm0N/pwKPYMAb/dHr/9+VIORfwSpdUtCYh1ff5u uFUONaT8fxjbENB8tbcm/48cGn38+dPQnoBtl1U7TC7I44W8e7QDLgSMXJF2 Lbgoj67OQtZpdIdeFeDd4iiPb/M23Vqne9Z93bTTRR4Nv6SVFroSkOHT2mfq I4+bV/EynzsBwpHOXyzi5NF7d8HXxusEbFTkzZ9vl0eX7J3v1j0J6ORX4/LQ VcD3gdpXHt8lQP/atdnEPQr4z8Finj66CxsLG2vpKVyS2dRfJICAcB+tQN4D CujBP1ydTLfJ9I4/eScV8NJ99frsQAJaygyIcWcF5Mu9zfnqPgH150/3nkhW QNGC5V9pIQS8K7ybqMasiNe82nl+Pqbfh4m5WBybIh7YreatGUmA6azSE0ZO RTRn9nl1le5vcu2xn3gV8X5zVdQk3QJPhCP9pRTx5aI/b08UAc4B+cEfdRVR R89MKTOGAPEznzx83BTxSdspkuITAv5jVDnR9kURc6IdVPNSCJjex9Wv+FUR FfZ9GBmi+0TwvO2dSUVsyMu6xp1KgDxPkeuOOUUMsA2WukZ3m4TOo9QVRVRf yelSSyNAapd+xw0BJfyTvRydlU5ArctJE0ljJVz5zhzim0V/D8Peh1xeK2H+ ofpNHbkETD2TiU7xUcZdpArnsFcERCuLspSZb0URswMsT98REJFwqfECSQWX bF5FcdYSYBlt08H9TQW7vsp63W0kYGVf1mpKpSr6W1p15rYRMDFl6FkbpIaD foa/RroISN+rJd5+QR2vSZ1yG/1IQME9D77L6ho4EMgop9pPQJC5/RHmJQ10 zrolzz1EwPbhtJyg9m3YOybD3feFgPitiQXtRzSxRmjCUnmMAL/qsPgjZZoY vunWY+dxAo6Km2e1yGvhdyq/pdMkAQYujVZ8D7Rwbedsleg0ASkSdvJtS1oY LhN1tfYbfX4fnsces9JG4YcpZNVZ+vnUa1V6KrXx7GduA1cK/f8usnQ3q5CR 7bKW2Ys5Auxe/CA9eETG6O8iSvXzBFy9e+r34cdk7KLeq2um2+PU68/cUWRk zzt8voPu4CWP8IhYMlo+Gon8THeh7up6XBIZd3IdmJyle7Vm49OzPDJuZNbu 2kKl79/DHVbXSMaLjN0F5nQnZFxzvN9MRvHEEmFLujNudBgdaiUjtwOn/zm6 S4Ui1lo7yNjnxW5yme5hSwHH3j4yBpMudnvSrTQhajQ+QUbBJuPIRLo1X3tL ZU6R8U1O8EQK3bvvDa06fCOjyBEjcibdJkpJxbMUMh5P1+jIp/tfZ5LUwgIZ B20XFt7T7bPnzurLRTKWb8jsrKX73ubxjzeWyCiw0evdQHd8UcbDlRUymk1W /umgO92f5XL5GhmN1Vf39NKdZ+pg6PObjD2Jb7w/0/1atkFS/y8ZvcfWSofo rlxUXN3YIKNV3oeFUbr/B8tgqOg= "]]}, Annotation[#, "Charting`Private`Tag$6579#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Xk4FNz3AHBLqaSyZWfGGDOMwWgUess52mQriUqRkKUsLSiJ9MqSJLJE IXsliqgkskf2smRJm+xmKSJL79dvfn/d5/Oc+9xzz3nOc6+y0xkrFwE+Pj4P fj6+/1/TrjgJ6ZxMMfzR0P8p94+wYX0X0fww8RJUmawRbawYN1xuqLxGJEZC b9fL1ISKecO06mjCSuJdWOz8khBRsRo8t/t5/SHkwcyfS33PKmSga8k94Seh DKKNhAg33qjBqk9DVDahCT7Pn98lWKMPmc3p56YI/cAoG/i62L4XnhZGfvLU moQ355ap8fJHwQ0+3GWdn4FDVKddj4udwXtE/cfzpwtw/rNaqEXcaRBWDqV+ 1efDYGc/qoT5Obgl2kLLPCGIX796FmS6+IHTJ+sqwVYhFP7QJvzHNgDOvQ11 OkMVxrCma7LhP4Lh2VmRgzIm6/Dso2qH5MkQyLzsMck4LIq2pXPnu4rCgVG9 Zj7CXhTPEzOub6kOh+oVj1Z+dRbFt5Kjojkd4fAtepgYfVYUZy4b597nhINS hv3hiUhRnK7dKymhGQH36vfXZ1aI4u15Ia5AQQTErdO9L04Sw7IknyTL4usQ kv73wG+WGO6TzLVy+XEDLBmvzmnMiGFX4QjJffYGKNX43HZaEEN9L3dx/1VR 8Hpo8v37leK4pqciokojCqZV+/c/URLH0CDjYxzfKHAqeGHhaimOoqbTx/vW 3ASjMm+TvhJxfBAtfs3YMBr4ur5hRYAENgXMxZB6YiB0ojIz4F8J9K/0O1XH ioE1fGkCBtclkLlnp8U2gVgQ17Stf5EogetL85iicrGgGvHBuLBIAo2Hnujp msaC6T+1+7JGJfBfcf5T/gWxEJ+dbXfdShKveDj37L90Gyi+rv7WtI3Y5v7i o49ePGhu/XownbERw3RGI3F3POjyHdGe3LIRFWRLj8sejIcdN01Gg3duxNCe A4+43vFwPIdunW+3ESfonfaMh/Fwp3taWyBmIy55v36yQS4BVm4OHiuc2YhC VL5LL9YkgsjSn9rFhY1YTdqQT5ZNBPGas/d380mh/49TgllqiUC0cLL5JCKF XLa4d6NxImxz2V0nRJHCP/xhpKrwRPBNXJtuf0QKYzcnKJxfdQeGZ5MOrX0j hVu2kQY9JZMgy4jp87lOCis6qjhbqUngEN0eU9gsheKudcEKW5NggLyy6WCf FAbOxd+QO5EEHw6e/yd1RgrbX+Sar3ySBJXPzImaNGm0tBE49dQ0GZK8+Cf3 JUljrkKqD/HOXbAuSxVSvi+Nt54XCCTl3wXxlfoqMznSaNe69IlccxdupXrb JRVLY10m32w46y6Etnxq/9omjUXVh6+577oHZ9VflpxdIYMvRwncqvl7YDpy OijunAzqXWbK1fumwp4glYJd/jLos/N3ztzNVNixcXBg7ooMrqf+pu/KTYWt uy30j92UwaH+2m7Gx1Sg5WrPqDyUwUhGyYy1QRqsdfnt/mJQBh84dH5lrbgP rcNB1n3Gsngns6rmVnE6vAvccu3GPlm8u7V4jW97OtRLcp9ts5FFz2aJoUuT 6VCx68SGTCdZvJ28XchXLAMKcnY0nwqSxauxBlN5phkQfXIVLhXLojL5gp9Z dQbsG47VUFKSw2hQukgpy4RWjeFuO7IcrhfpdjB8lwlmPnpXUmhyOLv1zWW3 3kzYK/DlvYyeHEoqRJawZzNhB1HjgoSlHN4fj1toZWbBZru31atD5HBVcCGd U5wFCt0LNjMjcohuIlnBVdlwT95iWYclhwfe82+YeZ8Nss4Zj85OyyHT2g4u D2WD1PSeJfb/5PBY1KbTzStzQFQ0IWNcWh73qDb7ulnkgKC51tRnE3nUx9Sw sm85MFnndPXdE3lU6iqpLZF5AITbfadvPZfHi40O0uVaD8D6+D4b63J51K7U V/q26wFUzhvQvr2Tx5wV8xtCzz2AOE2x7j8/5NFh2tDAoPUB/JNURaXKKaBg VVdRRMRDuHlaoSMsXAEdBc7P7ZLOgxq9uDKzaAVUHS4z99bJg7kVq3PEEhQw v1/4XoVZHpxIn/FPy1TA2PJ1Kk1X80C3u5n0okIBgwfaLPJYefB5+6ULw9MK +FEupKu25TFoiX1U3OmgiB3Rlycc8gpgNHo0JNFFEe9aUkpTGgogTfjP2JiH IuqNJI4u/ygAkRUyxTf9FdGi/ErIDsITmJyz3fPxtiKGSM2cf5X0BHIHP3uf qldEX2ql5sPYp6DwaKQqRl0JxyJ64bBVEXST58hD2kq4Dtvd652LICpT6Ibu FiUs27qjyNSvCBbvUa37dyih3ol8i+zkIuiLPjVOslPC/h778shvRRDvwxZ9 eUsJ9zUmHLL2ewbCMOs4OKOEWvNis/88LwZ/I7XVLxeVsOJszuep5mIY3Xns aQw/Ae2GD5VUfy+G2r01izs2ENAqU9d0YEMJBFhFx+fRCGhfwLe7x6sEplxU 315wJGDa1t4ATZ3n0HrTRk2sg4D7FBU3ZPW+gK0x19snewgoppFvHTnzAh7d LvetHyTgdtLvyfQNLyH0jnLNxUkCvhKVC7fb+xKU3s/RuQJEVDwwv1qp4iV8 7K99a6NExIvRA16yT0rBmH30D8mGiP9xVp78WFoG9yWvdQUfIfLmSSC4rb8M fv+TXzh4jIj0Nf0ay0tlkHFjye2OExGTd75dI2n0GhapqX1rzhLx5mLSE9H2 11Dg9Lns5w0irjQwpVTNlINon0NgZTURBzo92zzOVYLrcsQR+Xoi0n4eaMtN qYQKSpGufyMRH2aUhtAaKuGUHx9bp52IMazUfVIKVVArnmmf+4mIVn5mjhEt VeBrMWR4c46IfP+LW5OXWg19tSf5j9KV8QhHnepKq4WfRgNyQdrK+G+SH/3v jlpYVbNfN2OTMv5coWJYfqwWtlRtdRvVV8YNNc9SXkTXQkK5aNv53cooqBjx PWumFvY/r0iOOq6M39qMfNIa66AhV5LxJlYZ7+30NBGJewtfyDdMvsUr4/f5 5u37it7CbPayk2CSMppc/WVS2/4WyFmTiSZpyqifKN1lJNIAIferl3rylNFB yKvlQWQDGCZ5NnJqlRHNpExMbjXCi+v1x4mzyrhttW3Ar+omeGTaIhMxr4wn L5E6KRNNcE+ks5O9pIzsQLHSTLFmuBr7dU+5AAkjwuSCTzk3g3nyotYhURLO 02K3mQq3wNBDxnKUBglXLxwzSHJphfWNqel/HEkYTd5cesy6A/gjs22Pu5BQ kd+K3RPWAb9NH0u8dSfhiICR+f3SDuhvL42IO0NCfqaRzLr17yHnY+cZzSAS CmSYuTv6voeto6vROZmE9ayBv/57P4DrSr9v7e0k/OolNHljfRfIEZp6lz6Q 8Mn2n5930rqgXV+xQ62HhKdD3ygS9nTBFs+3b0I+kZAl0K677UoXCHVtTNky TkLr1QHH1//sgtyMlzb3+VVw8rDP2GJ/Nwz/M9/spauCU8ah7eNvP4Lz+csv RO6p4EGW4JWYnwOg7abRbu5IxoJlPcP23u/w5RThzJOTZKx30Oq9PfkdbnpK iK53J6MlTeyYxX/fYeLc0oEObzLeW4pffkwaguzAlp4DgWRMbc8bmfccAuk4 j8+Hksi4McdpLGt5CJYr8lkn2sj4Vyxq9JL8MDytSo+ueU/G1Vpphyrow2BX G69F6ibj3v+4ZO72YShrvHz2xwAZL5m70lRPDINPp9lvl3EyRvDn6rZnD8PY 2NTSaUFV1GG0R05TR6BDnL7Wz0AV48cNpvJJo2Do5TWRsk0VC6gKSS8Zo/C0 8WljLaiiy0/ZK0WGo3ArUCdUdI8qckkGXeeOjoL56Jb/8q1Usc7wXZL67VFo LjPiDnmo4pYSzVi3pVF4e+Jwl+V9Vby7KOwoUjcGuuXJzy5mqmJuj2jcbPsY 5GwciLmfo4olrXWtbQNjENpsZ856rIrHz5QEmE2PwQ5dp7cRpap4EstiAonj UL3Kq7TyvSouP3gc++bSOJQ/DUmhC1Kw2bszai1xAoTMbeSShChoaZw7UkGb gAMT1Lv8whT0/ZYibrd5AsZU2u58FKWg0XSe3knTCZC4Kx13VYmCSs29c2k+ E+BxreB6twEFzyWKMZtrJ0D+yEe/wLMU1H3VkJ1jPQmus49+j/pQUGVPCvMf +0l4FnfZ58BFCmY/nvOqdZkE4zbiOcoVCg6NG+/IvjAJPjs8PN9H8fY3vFvz LGkSWuh8zuSHFDxutFNUvHcSLvPTLFs/U9B2Y51CrNkUjO5a20f5TkEXB/VN plZTYHmd5fDvMAXX9JbbzB+ZAvKGwjNbpigYLeihoOM6Ba0KujEZ87x4huGc 1NUpUNI3bPeVoOLhv878Dc+moNbbylzRhIrd1UT/7etYQC9mdl80p+KFtWOl GeIsuDMrade5n4oLy9evLEqzwCOw1yPiEBV7HtuN3yaxQPKGXdQvZyrKiHAJ VnoscM11bX57hYrb6bv2UR1YIDwYsNf7ORVDtWP3Jj9iwZaLeetiSqlolJT6 LquABY7ifZ2Fr6no87ej40ERC17t3Wz/q5qK+3UKslJe8c57wT3n20bF2pja +wbvWFBz62RKwCgVpxPNOi1HWbz/bB8nXEYNGWHSdD0lNuQMBpY8lFdD8uSt wQhlNnRczPd/p6SGI925rl1kNlCerhYUVlXDIqqC5jENNnTJ1UlH66hh7Ilt YVr6bND6rWcUb6qGRtJhW1mWbBh5oJyQHqiG+y5WSC9fYQMr9PuC4FU1VMmf /zT3LxumnTId3K+pYVi2c9tEKBv4CMoaOjfUsEFyl33NDTbIJRFra5PUsFDI lql/hw2WEYSfI8VqWPbBLcq8gA0Vborm9Ak1HMw4Xmfaw4a63Z+fxbLUUK5X f+5VLxuaVdKkZ7m8+1OdHVQG2ND7VeHHmzk13PDT/RfrCy//YYWA/SvUMWqd 9sDBcTao7ZV/dJ6gjtWfZt9cWGRDgprsijIbdbwdrjm5XYEDdscpD38cUcf8 A3aFikocICcwTdfbqeO7TPu+RQIHni9bxDo7qaNMeqvbExUOdH8MUVh/Rh2N iCrzMzQOSISxdJ2vq6O71niGsAEH4r5XuawrV8eWNJ2AgIMcOCrdtlq/Uh2L XUU61ttwgGQxkO9Uo45qN/pXZR7iQPGr379KG9WxMu4os8qWA50x6lecutXx aPVU55ADB8QM4++UstXRNfIopdmDA7H3XBsdiTRM6G9z1Q7hwMULIT6BKjR8 GVrQGXyNA8et7hOSKDQMOq+U3B7KAbrwx4utdBreWa2+1S2CA02XdqvpGdCw Q6ORFHaTAwK25EgRKxrKH8SXfnc44Cc9ZFp6jYamTIOgrXm8/sz8N/chnIaD j5U6jz7mwK4O2WxWJC++JrDlUj4HxCMOLCnH0rB423hJyRMOPJ2rzr+ZSsOT 2a8TpIs5MN6TLuL0goYxI4LWma95/UiwbxcZo2GmWhV/czMHFEqE5T0maWii R6rtbeHA1w+lbk1sGsp+eKc93MqBkxvE+cN/03A+/ZD8QjsHvG80MJf5NfDY 2XYviS4OhFzVvvtLQQP9VTY3rP3EgTxP/pMfrTRwyre3WGaSA55RT4t0D2lg QhSRvcyz1uNj/8XZaqD+UxOx0Sle/8de3Nl/gmcCS7GQzYEKp9NN77w0MMP6 zgXdXxx4f6RLq/y6BvLrDdxcN8+B+V25C+mVGjhy7de04EouBJanX6uv0cAl y2nZSp75Nt1bN1GvgUIZKf4XhbiwihCjvKlFA7XEt30fW8UFqQV/k/peDZwU vh9UJcwF5hPzu+M/NXCDxYVWU1EueG/8ra+jQsfAPZtK++S4MB3FqbWh0PF8 aUvLZXku+AlMmAeo0zFqJkhPSYGXn/v5RJ02HT2FSqQdFbkQ1dR43WYbL/6z XOIrgQuPglL6LtnQsSUn61UFmQs/Rnb410bQUcKY7rxCiws70tuzaFF0/KVs x5/Bc8aRo21xt+j46rrpn63aXDjeco7knEjHtTUbON4MLgwUZbQKZtOREH+f 2LGJC52X/0fcXUnH/EW2wzk9LtSKvW5q/E1Hrcws+k7kQtZ2Hfk2R008HODU t8eSF98nfG3ppCbG267vecnzkMOPSXV3TVy1kXCKcoALKiGJr8O9NXGTnIft Cisu5DQs2OJlTezZ4e5efpALuftrk0sSNLHM3i9f6jCvPseDUvcaNVFX++1/ ofZceBLmJ+amqYUVs9LBR05xgbXNPiSMoYUXvSLEi3im/941k83Uwm9U2WOr TnPhsZNkzzcDLUy1/SXygudHUJJ8dI8WjsYE/RXx5OVf+EnY56CFaUZfDxR6 c+Gel6fW5ttauGyZPVflw4UIG2czwVktfHXbcoIYxKt3/6Cdy7wWvhtZJ+fN c4WJjXfjkhaqPc9fVc7z9Hbj21EC2iip/FrO+goX7CgavRKi2qhccFLtWjAX Nv2ZdiJraGN/91NSz79c+JIcErDbURuvbowMNQ3nwubBzLyINm1MjdxpG3mL C6Ja7vOF77URckOf1/HMCtYy7uvSRgNljx//8ZyjUj6sNqCNu8X6K87FcEHS o5vQPKqNX78LOB+O5cJioKCZEB8DAx8wsuTiuNC/dkvNXlkGwpfQ9SGJXEhW T3nSZsbAvpyrUp9TuPB7Zk/uNQsGyp7RyxVL5cL+yulUg/0MXPNHZu0enoUO mt7MtWJg4YyA/VOe/QIXTgfZMnBEYU4xKI0LVh2H1TTdGEhpatWTSOeCiJ9k 9s0QBsZJFg+SsrgQXB2dbFbGQHe3oq+9D7kw+bk6YeE1A1NF9iYLPOLCoaWZ 2IcVDLwupbVJk2f6lqORgtUMDPWyFQ7huS+fElDewMCaw1b7aXm8fiZVHdPo ZqB2UeQuv8dcGPX6pbSWy0Aa2qfMFnDBQt4mt5msg2ue2cflPuOCkXfjMbFI HTz9j5CfaxkX0hWcyK2zOugokxqYWM0Fct3DO/uObcKjlpsnbBu4EKtZS+us 3ISt0xNo3MIF15kVH5poTLRkt6hOd3DB6dk0MTKGiSt7m/bUd3HBM+TgX9Pb TJR6bGfWzbPfwee9IvFMvOZoYjzM8/VZv1uxd5hobmCiuqKbC08NFpaS0ph4 OvBWwE6eF2qWPz7IZ+Ie8aCYap5jO0Wi6xuZqN658+bzHt58Znu5hzcxcfxo XkQdz9m+7Tv3tvDyJ5Evd/L8Uip2saWdiYOW501/8jx4VMK9q4eJvR9WRGl8 5AL1h+zOoR9MXPWsITmDZ8bzAKWcESY6bpaSKeR5a9inBZcxJm4Y/RDzhmdz alrRxCQT777Lch/g+bwHUenXLyaGX95WLdHLe5+2/btQPMPEaI9gQRLPYeuG un1nmfhm7RFg8JxcmB01P89EaP6SYc5z1tUVbq8XmRggmdRwlOf8Ay47Av8y 8bnrwrA7z89JDYqG/2OiYKvw3ws8V85QFpaXmbjZ7P3aMJ7/D/qqlm0= "]]}, Annotation[#, "Charting`Private`Tag$6579#5"]& ]}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"|\[CapitalDelta]n|\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.2, FormBox[ TagBox[ InterpretationBox["\"0.2\"", 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.4, FormBox[ TagBox[ InterpretationBox["\"0.4\"", 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.6, FormBox[ TagBox[ InterpretationBox["\"0.6\"", 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.8, FormBox[ TagBox[ InterpretationBox["\"0.8\"", 0.8, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {5., FormBox["5", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {15., FormBox["15", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {20., FormBox["20", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 20}, {0., 0.9987270868659814}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0nk41GsbB3Bryc5kTUgxGbtJSLnvCC2SLClpU7KVIsqeQ8KJyKEkJUsi iYqKU7IlsoZTSCmMZczMrwyKyPt7/3iu5/pczz/f+3s/a9zPOHjw8fDw/CbP /+/bke7LDE7cMl95f71JlMN184ZuVVsX1RCgKe3TnQgJhKXG6hhV1QSwcH/Y cSPkEtyuSVIRVL0JDuobMjnBaXBqS9DpnypFEPfwinjG+Xzo/u2V9l2lEgJL FM54ni6H5Z+GqGyVZng9pZkxtL0BemteBbHGm6HGVcxscawBHhRk1E8+fgfT e/uD2y6/AbsAuyNMy1aY6uZXv1zfCNdXVF0f8+yA+kvBZ5RMm0E6q4nvx8cu eP9IiU+I0g4577L9J1X6IK82VGGhshumMypog4l9sFdqKl1kRQ9Ye7YMd831 wX3xdV/fufQAi/+nc1V3P9zM0Wl2mu4Bky12mxLiBiBGytstVPMDdJYu8FGJ QThYsPIpxPTCxXfaOw2ODMONm6M2bsQAFD5+rlGcPgzeDSnnmg0/Q1eGBb96 6zCssfw3tiPoM6zz3P9S3nQEjNRjpvLnP8M7/ku6PBQGbM02Mju19AVkt3yS 7mgchf7TxJWs0K/wqDTh0yldJhgu09PK3T4ETGlm4s5jTDC4/8Xj57EhoJ7f ab4+jQmia2WlVcKG4O5mkZzhOSbI6ehpjj4cgtTmxJOubyYhbEXz5X3iw3B+ OPmHjRsbSltvTXxuGoYn1t9z1ZPZ4JSNXt6Dw0AU2Tvx17Hh7geb9OaZYfA6 K/W8msoBwT89ZUJqI+C6mBpuxOXAha3HVscFj0C2SEuMlNV30KZ9+Vm2mgHm W8Lcog5/h4RnrOA7BgwY8NMyIi58hyla/ZfjVgyQ77oy2vrgO+S2m2+5cIoB 1zJsd8RL/oDSRZPsxhcMiFFvF1/69APc2BqUzTtHwRPe32QFcGG1uPwxfYcx 4Mmdrfp0hQufw89GWhwbgwwBpYF3+VyYfPHE1+jsGDQ1n1Qu+sCF113lOdVJ Y7DeaSHXY9M0PPU1Hj/xdgzGvagPv/DOwPEa6KIbjUNUi21bm+IMvIzO3eVn MQ7yugGcl3TStq/oSXvGYTv3pf4tjxm4YmJtEOI9DkURDhUuzTPwSituQSJr HHxSI6o7U2bhb8nRbq+FceCbyR18XTQLNy2rZAWEJiDTpYmntG4Wvjks6MZR JuCdEsUyaXoWEk5fKbWiTYDW/cK3O/b/BMeKrqSifRPA+re7s07lF0QUlmeZ FE+AH0NzuPzRHOQcePO6dhsTvh7uE6ptnoOkuOaKC3ZMcOyN120bmYO33Z6a 8vuZYNIyFsJQnAevwWQ3BV8m8D++JykbNw8C1TfvqKUwISN8jfmFI7+hmvvo XPgHJgjPdh6PCf0Nuuv4JKa+MCHiTFRCcvpv0NatA+cxJri7D/bcb/kNPFtm 5Bg/maC9/bZvr/ECfHqxKl5PfhJqKQo3TSUXoe1Du0668yRsSGqqttJahISy 6ru/3CahYFnwyF7rRRDL3ORge2ISEuc+6PmEL4Je1Jzom4BJ2DeY1pg5vggd 3D+SPMmTwHwgOf275g+YO8T+87JhEoTXXKIOmvAgY4fIe3MNFjRtvqYXacWD 32qofFe1WHB5/x3j1Q48GKhZq9qtzwK+lBc2B315EDpEosGMBfN/WJ4fb/Og g7L8zrw9LJgccC7s4ONF+cRIRtF5FrRmUDVrWnnxmajiMaxmwd/lGwyO9PGi ZfnxyqA6Fmzv3Gr6h8GLoR6JIXmNLGhY7rZj8xIvZgUmBo63s+Dl+RTvFwZ8 6LLn2RrFQRaUOM0VlV3nwz1vn5vQ/rDgqmQLLecoPx4/Enz3hDEbKo1XV9j5 8eOCufk9UTM2jBw+Awth/BhrEvCtxJwNZiUUJ5cb/HjN+p75gBUbxne4RYi1 8yP79GsTpiMbLGPYHSFmApj+/L1Yrx8bfs1IBDnICqKBoe8T17tsWLvafWlp rSCypeTlrPLYYLetPKHEQBBjrfEorYAN91L33xHaLYgbFBZbGcVscNDLeVsd I4inhp5tW/OcDSVehopaPwSRqXZl9mkrG9w/Ob3mb12GkRI7DyVNs0H41rfT /n3LMEiskvZ5lg1PXP2UBkeXoVD/442ac2zg748LqeJdjt53N2o+W2RDfm8V 3d94OWbH03bnL+PA6H+qhV9yl+OXQdr8RzkO+HSyUipDhHDPtqgXrcYckE4J AWqcEL4yrxN+YsqBqj3LOGlpQqj86VlAmhkHRDpUdp0tFULLQ3cz7YEDD9sc BKkMIRS+MDxWYM0BzrsXIWn2K3BPC5h2OnHA/80l9zNUYYzrrLU0PcMB5RHr ZbN0YYzf9i267CwHWvhWPAhHYRytLqxXD+CAOib9SDggjOtPqewXDuJAX1V6 VP4VYQw5naP9MpQDW8sK7vQRwhi48sKpN7EckLrV1G/5QgTv/DbSuZTJgerK vyPfNYjg4cS6wdpbHPDttVXb+14En9SWzS5mceCNzHvvw0wRFFc45+afzYGQ lL5fwUqiKPLh/l6rfA58i2XKPooSxb4TB9XySzjw+Kyoo/wOMezIzHKye82B 1kxKSMk+MbTTROPAGrLPBsVsixNiWPhVLiWjlgOKCpqTpy6KYXGxZOlAPQcu 1VrF1FaIYfJC4aRDEwf2SV986qMmjs6nn92c6+TA/NMflFe/xdFulHUVv3Fg 5Zdfpg4rJHDc0Itn0xAHdIV4jo7JSmAmp4JuOMyB427iD6UMJZDrLziuzCDz CGhtO+klgat9N9ZMjHPgjvOJQIn/JDC8rW7M+jsHcsJ8mfoukmhgfZKi/YcD +jUrfsUdkkRZhwu7uaRrBAoFB49LYnGI+b3KJQ58TRpRTToriR9DaE8teQlQ vnvIZSJBEtVF00/tFiAgs2FPQ85LSVxJiJ0xESYgVWzDHWk1KXy/b044SIYA NYeuYu/1UihW7OaqJkvA4+tnK2t0pfCBhwa7nXSnSkmPn5kURvUqfVOXJ0Dc UEOkxUkK79dEqrQoEvD3PvngmDgpTB1J/chVISA6e2HvNEsKN8fFjzdoEmCv /8JfiyuF2+p1rx2gkflqz11zn5PCEm5hDpt01RCzs1NQGh31ty9StAmYUu/b U6IsjS40w4oDugS4P6zYfdJeGr9YJXQ3GxKwtdJvR+9TaZQ03jSx1YzMs5Pm LVEljX+HlS41kB7oZ8Rb10jj/CfldJvNBAQvuDWVt0pjpXcs7NpCQBnssrnG kMavN33ybYEA1Uaq1U45Cp59I21mYkkAT/dXfBlKwfRjIW3PdhJwaaI6J/Qv Ch7qv9C2YRcBK3hu85nGU7ArmLvrCWlpnQMNFekUHExUeltsS4B63Hub0jIK qjdKNGfYEbDTrM4ud5SCfGUPrx50IOCfvDy3eIeVGFFiHhN/gACNwJPBTjQZ PP6nkffuSQJ0Ng06ZuvLYHKodMtv0ht49usxN8pgE3PKwsWTAIvEHaMXLWVw 6SoHxLwIOJyv7VTsJoPz/rIhQd4EXO+Z0uNLlsG1V7NNjE8RIGh0cayUK4OE i8S+aH8CRmZu7BN5JYtGF5O6tocRkLuVfu5zvSx6mo1RbpI+ktSeXPpOFq0O GIlNkO5fJ9js2CuL5uH8mvHhBLx3DDDL4sqiQtJt8foIAqof26rq0ORQXITV pxVFwI3TvEy7G3K4WVIrs+USOT/DJyLVXx7P+LU9cEwiwDpi7cNtwfJYE+RM +Ye0hcxA/2ykPEaIV9t0kd5ktdvkYKI86ktSZOyvEkC7p8dde18ebZOYNjuS CRDxmPaqGJDHe9O7zQ2vEdA6EuHUa6OAD7JMBgfTCLAbSdFSVlbE8QqevPJb 5LvWSI/bOkUcKnKRZZDedc448hZNEX3u9p6UySJgO9+XTnljRdw0NZAdRNpC Ves8xV4R3YxigzbcJsDI7U2NULQiNhyOaym+Q4BSz5wzl6GIJRUHFv7KIYBZ 7x7VVLIK82wUOrsKCFC51utztXwV7tZImvxD2umwnbPTv6tQ8Wj0KO0+2dcv U9rXplV49a8zYdGkU3Wken4Or0J937p1+oUEmN14TaUqKiHrLKTEFhGQ6KPU EXtZCZdFdmQqPCRAV+rDassjq5G6XOMaq4wAYZg5NsBVxk57+5GhFwTYsF1/ qjmrosO94UGzGgJ6607wumqvwZqxpgKPRgIq4hsOq86swRm3lvKjLQScFAz6 2t6uhh9jfP1kOgk4HhBWIZq5Fl8HJIdyugnQ89Rqtz22DsMj1+dafSSgQ1pb JMhUHXuMKleF9xPw76PoW9r8Gth8MUKO+pmAMF6afetnDSxTFDjwcpDMNxC6 3a+cinM8j/J5hghgFKxJyw5fj6mFCunjwwSkrVcQqHTWxJXnJcXeMghIyTz5 9pgqDSMlBb8fHCPANe1Qu+gYDbv2p7s1jhPwa9u9uexqLRQNO3FWh0nAMMMi uC5OG7UHDaaPTJL/eYvBqrZjOrhGcP52CouAktggKU8dXfSZ1yDS2QTEOR/f xT+ji3JH+ouiOeR+B3KK4tr0kJko1n+GICBD81ZJ2y59rLZMyN38nYCLNUkZ uyr1kdp9Y6vwDwJ2r3K+926dAfq3NZi+Ib3V7+1BqQQD9LxZkOo5RUC2kvu6 1hkDNFqjWyDCJWBd/f3rdgcNMfyyzPVM0ik6dbSuakO0VdAiVk+T/XMF3jfT 6Nj73NUvj7T74ynVhGQ6bti7f7P8DAGnoh0Xdl6j42PJHiNF0kGO5R9F/6Fj aXGjrhLp+JmgqynX6Wi/SUpFlfQj07nfN27Tcb/q1jkq6bnapQ8FxXRk/NyY Zkw6pUs0qeEtHXWy2jz2kc7MO+11uZmOchoxdvtJ5wW2W25voeNMasVGV9LP ZFPmW9rpONh5TfAw6QFXilf3f3TU/qV924M0dVjBcmiYjmmXZcsDSeuXhyrn M+iYJVSWdp70pthPcx5jdIzb2xwYTNqWertsgklHM04YPZx0gK+q8o8fdJza MfoghnT45r/mnnDpmDAfHRdLOlZsqCdwhpxn4O7xONIZpXlXfv2io+3YUcUr pHOjBDyr5uko68M/k0i6eK+HRfgCHY++p3ZcJV2u1rja/A8dO3e0F6aQruZq zC0t0ZGzNPtXKun/ATkGn0c= "]]}, "Charting`Private`Tag$6579#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1nk0ld33AHBzMsQ1Z7pX1C0zt0m87V0ylCGJSoOiyFCKUkR4k7jpipKk 8CWK0CB6pRIiY+hNRUSvrtl9nmTI7Pf8/jjrrM86Z5219z77rHU03E85egjw 8fER1Pj/OTXMXcTo2N3NR6XV1e3+ubS56hPDdi8jGLS+fkzV0HGDxfdlkQwG G0zmxXXkdPwhtZxDF2bcgbVXHri66fwNJ/4KPPmHngvjZj5nvuomwKdZr8Rf 9JdwNEBtsNE4A5Z09DB59DroimyaD9rxDDLq0/2H6e0QG/5ix7nsCnj8hN1x Qn8IXpqcXz5W8gmOw8c7IwFj4LqBf0lkTxfwZU6WdsSOwa6w6H2PJbshWUi1 sz5rDEZHXQZrNnZDbZ2neu6XMchKFgx6F9cNq53mMj02jUN3o5tGn+oPGPBi 5nfxT0BUOtHyqfoH+Ny4WNYSPwldHxq9T0v2gMBEZvfb3El4/8hR20OjB1L2 1vI9qZyEE3t2T1qv64F6VVlzzvgkDNoUcTsP9oDOw5ya7fv+wKbXg68N83pg 5NWnlkr6FBRmnSk4su0n+PWu+Vn0eBq6jNVi249z4Ydru2hF3TTMpJnKd1zg wu62GP0P3GnI8AjwfcfhwsaG/uBe5RlYMq6qZv2cC4LPsqUVomfgfLK7JX2e C8mhGpvPH56FhDyfgMnYXqiQXX7HRHoe9mcJ68on9cFaTm2Zhc48lFXUJLVn 98EDkSDuLst5sEvarna5uA+uTX8x8AmdB6sdEvmxrX2wpzvxfcrAPBQ6mpl7 0vph6JH0+Gz5Ahif5bjvvdIPYhqXmd0b+XBssBBfHRqAWrMEgzALPmy4a8R/ 3XsAruxL26DmyIdhHCbbPnAABOJLrA748iFtJtM+4doAzCyMHP+ayoetTmv3 rC4dgOFO55xmAX4Ui/VcU0gbhMZk5pryRn5k7OLeHyochKtFa40Ot/Mj11Ar wuv1IFi3bDFZ6OXHkDse7p+rB6FqycHtZov8OPy/ZdmhbYPw+ly8d4mRAPaL eioKzQ9CgdN07tMkAfwwWwrLzIcgTrpBO+OIIFYWOCXUvaP6aoNasb2fIHKP 2LLnG4aA63oK5kIE8Zy2m79G6xCYFsg67b0tiHUnxRJMuEMwsP3gRckmQTQy GQt/LDgM5pG85mBTIXQ9P73iPQyD3yPYz9wuhIGflzxdYjUMKR8TuK17hDB8 2EzR1H4YftHXTxsECGHqYu7A+YPDkPY6bEVfjhAam/i8sQ0ahqkJqUBHBWFc G+ZSFVIwDJpq7ouLmsLYJ+5tNvB8GOy3FbELjIRRIrbIxrp0GLJv7EsTtRPG y1L1yT/fD4OjQUZNWaQwKkwKlbO7h6HAy1hZZ1QYx25+2vxo2Qi4dzi9FWwU wcWMDIOeYyMgdve/k/7tInji5hWbdu8RKNzvp9rdJ4KbjNO21viNgOC36OBS /iW4wMyVigkagay2Upb/hiVocsfUJD12BPo+M3K6Mpeg8ID8IOvpCPi0jMS/ DBZFFQ/1nlNjIyATHwzMaFGcWjU5fuzPCJTuFCESE0Wx81Kg0O7ZERBvptuc fiKKElo2TsqCPMj/4CjM7BVFfvpu270yPCDqS4ITHZaiqfPd70kGPPCvvux+ iimGU4vu9jEePFDnWopMssRw/pBlcoQXDxoElj4KRTHMdP6pf9aXByuRM8p2 EcNL/Hs97fx50F56KyIrVgwV9V0ma0N5sOXpg7R2Ugx1Ct/QR27wgHa39pt5 iTiunVFaqfKaB2Uvr4bVV4nj8zjl1ZwyHvi22a7Y9VEcPSeyzs2W86Ba/qO3 65A4dihM0j5U8yA4vn0qSFUCJw/VL25r5sF/UUMKjyMk8OPvXyGc/3jw7LTE bqXtktjxe5NzviABjSmywQV7JFHFqqK7W5iAvirl9K3HJHF7veeElCgBysvX DJ8Il8SVbkrfPSQIuFxhEVlRLIlKV4X2DcoRsEcm/LnPimV4JsTsrtNKAmae j8q+mV2GHR3M4D5zAuS6pkwcl0qhaND+gH8sCNAX5TvSryCFnsSJoigrAo4e XJZPM5bCd7w0prINFY+QzjZPLyncbFu1R9ORgDTnY2elPkvhQAdP6dVhAjJC fIcM90rjgEmJMiOYAMPypVPRh6TReo7MYl8goFwoR7j7qDTKrwi1Hw0h4AeH y+CclsbcdWYSr8IIUP/fob2DbGnUpT1gb7xMQErVzqqM19JYZuFj3BVHwA3J tWkyK2hY+Uhs80AmASsc/83zXk3Dn4Smh0oWAc+STr8s16ehh9MnYbtsAlro Ba1+pjQc72h/k/eQgGXGq8QbnGgY3VFuuzefgKt7lIIio2lIDqROeRUTcCl9 btf4CA1HLhhsuPKeAAfDEn+dMRpGPovsiq6h4qs4k+A+TcNgx3uOMbUElPYM tbQIy+BUckBOVD0Bv1e27yxQl0EXfte/ApoIcM8vtvN0kMFTv1qS5L4QsOWl 3/a25zKowlxfyuZS8ezQ9pYqlcGn1uG2Xr0EdH7rjbEsp847duCHRR8BQXMH a4saZfCzyEOZhX4CnoKNVUKvDNbGjte5DxPAeM+02KEoi+VnvcsWRgng+/QD X1+QRTlOs9LVBaofBssyLvwti1LG60YOLBKwlC9VwCRGFkMUiWpdPhJk9Fyq im/JoqaDy40GfhJWRn+0evJUFsNeni+ZFyJhh2mlfWafLP5vo2joOnESbt6/ fzDGUQ7fGjv4zimQoFT69xtLFzks5K1/+0yRhHsth9WFj8gh72jUNk8lEh7M q/z4+6QcxmioDzQuJ6Fkb+LRkBg5XCO7uihelYRO8SgfvzI51KlffmRMg4RV Zz2DnLTlcUdz9X1dXRL0NnXvTjeUx4dW8P4t5bV8+wyG1svjC3aJo6MeCVuv be8LN6dcUZ0fqE+Ca5auU95Becz1r7pQbEhCUutvA4Hr8sguUFulvI4E4XXh /U/G5HH4seur0L9IkJj9UzkzLY+3StkxC5RlKk6nWfApIDfX6Uv4ZhIYdu7O HRIKuKnEeTICSDDzsHgnskoBbzamulzcQsLZW+Lph/YpoDvr5/rDFiRwJ27v EX+jgCrFN70abEnI3MI68/0dtb/FTtHajoTDnKbrT+oV0NHB3LKK8jct4brd bQpornKN+cqehI+7A0zvjSngTqulYvcdSCh7ZsvQ01bEDURb1wEnEm6f5B+y v62IDHqF7LkD1P30+ly84a+EL3aEL/p6kWB5UTN/W5AScr/ppTRQ3irf+W0y TAlLImo6tL1J2GRht/HANSWs/uXnPEBZO9tgTPOhEioq7dQ/7EuCuMe4V3Gn EtZq7vrXzI+ERu5Fpzar5cjwWppVeoYEe268jrq6Mr4aF8hpvUit63BbD2op I8vZ/4tKGAk2ZzaE3dVWRj6mWYM7ZWuBrhalDcrIcOoU/UV5K0PnnKyDMn6s G/y2JIKEdQery0UvKaOW2c5lepdIUG2ddh7rVcY6wQDznVdIGHrnHlFboIKn /2tiL3BIoCe0+cQVqaCdscf4X3EkOLnaOzu9UkH3e7naFymXTZlo/6hVwcoB +uwM5Rt6tNY/P1XwqtCA0fh1Ekxvv2UylVXx1zk683sCCdd8VJujrqhioIL1 /au3SNCnfVEzP6yGytJXMlzvkdDH6bt0y0MNHfVFFa9TThX709/vq4b2y6O9 31KWEFIqvBakhkr/8D2gp1LxTrpYfklQQwfdiIguytmd3/28q9TwRopym3M6 lV9O79vra9TxRYo/TyeTBDGYcOscU0dJLVHV0IckBG1ZLfpiRh21733WyqHc Z37g8XV+Ojr9IyXZSrnSumJmqxQdUXx7qE4OCRccOTdztekovmFrexvlYY+V 1efc6MhJPJqj94i6n2vOq2nNdFwfeutEeT4JVrz9f1Y4M9CO9fVB/DMS2iqP 8e/X1cAf7FnnnpckFMdUuTImNHDtHgOMLCfBUzjwR1PTCgyREOUrfE9S//KQ YokUTcyQ1qh52kCCwXGdJls3LeTzeegy20xCs4yueKDJSgw43XaO1krCq8eX 7uoKrkI3y5uqfl9JCOHXdmj8vgpf1JLrcr5R+XdesPYrYuJWs10G57+T0PtA IzE9dDUu23jFqrmbhMTVy4VeOq9BvvipR4o9JMSneNa4MbSRkXd5UoBLwv7E Q00S/dpo+XpoTUkvCVPbsqfTy3SQcMnv9uwn4Wfv1qDKaF3MzTkf1zpAvce/ jFQ+uOlh6T15/c1DJBREBdKO6+ljzPGz7QHDJEQ7H7URnNDHo3lfgT1C9Wdn Rm70BwOc5kQspPFISF5zt+CDjSHmljo1cwgSwss5yTYvDdFqNOtRKEmCnYpz dr2WEX4/4iDi/IuELX41B2hsIzRMIUylR0lIV3XXapwwwl3P1ZoaKWu9e5hk f8AYQ4/HcU7/pvLTq9T+t8wYRU0VbomMUfUfE/pYp81Cq7m29DTK7s9+M9jX WThykW2tOU7CiUu753YksPD6nY6olZQDdxd9lbjJwnexsZVMyjETgXHxSSyU GxDepEv5scn07O1UFrKZvhrrKE9XLH55kMfC26m6/1pSjv9XglNVw8K4SN03 3pRT7p/0ulLHwv6sgj5fyvfPNplbN7BwQDRRyo/yC4X4mYYmFq4PTzgcQLlz v6zXp88sPOXrPHWBMvPncvOenyycV2dJXqNsWHRBPauXhblGmnpxlDdFdUx7 9LNwh1yobTxlW2bq08EhFuqv8WYnUg7wZaiPjrJQ7dH6uXuUQ83+ni4cY2Gt 8xnFdMpRkj2tZydYaBunbJxBOfnJ/dipKRa6X8r1yKacGSF0vHSGhXN5CWEP Keft8tgaOsfC4M29SbmUi1a8V9u8wMK001mP8yiXja2aXlyk6hXcXF1A+f8A McEbCQ== "]]}, "Charting`Private`Tag$6579#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV03c81e8XAHB7Z++tcI2srmiocxChZEQKkZVSiUpRNKhQZFRSioxKVioa KpFR9i4i2eNy7yd79u33+f31vN6v87xezxnPUfI8ae/DwsTExMfMxPT/89FF Tw4975TtB50jk6vu+m2vbFPc7aQYAqJfOO9ze1nAv+rSCEXFaKhS9Ty76Lkf HpXFKrAr3gevwnNs/l5H4Pi2oBMLCs9ho2yoW7pPMLStHLnzR+E9FEjaVqf6 RwFn9wCFrlADwx4RJysSkyG9Ni1wQqEL3Gf4dncqP4fZ5GKN3zFdcN6WQilK fg7mvnWDrUtdkDJitWecLwcmWRccS9p+gnPuWK/PfA5s2rZnS3RkD3CJ7xto b8iD5herLBTiN2QrH3i1vLMQLtWut9JzHwTponPZ/gZFkP3yrWru3UG4lmfg EXWuCFqTTVhV6geBbdY9ePxdESj77v8ouXkIemq5zK8ZFUMt61VtJpFhuJz4 XcFo5xsQ39Yt3FQ9Al6GomP+x95BwYvo7uPaNDCM67m+c+4j0IRpMVYeNFiR CaxiNfoElLNW29Xu0KDToj5TIuITPDbiTR9cogFfIOyxFC6FxJqYw85VE8Cn ylM1rv8Zzg7GTe10pYOLd93+4aoySOOtixAy+wNd4ayThSYVsH3bBdfLbn8g w5fGY368Anr8NTcS5/6Ah8iYiEhSBUi23hypz/kDu6R+Oe2jVUBC8m7LKMEp cDh45u3Nu5UQodLI/697CnLCdG4wLVSBL7Tcnzw1A5M5MXTPsW/AlDFf0n1z Blq+xd58IlkDyWyyPbVZM3A+cUcFxbIGvtUcln/+fQaCDENmJ3JqQM1hNcNn yyx8b9WvDAmshbEjlLxe5jkQMXS73cVTD36JYaXN8fOAclr51SebwH9YfbCo YAk29exfVg5vgz63Lq7ymiUIGxtf7/SkDfZ2Rmk3DC3Bcbspz4JvbbCpbjRk WHoZpgj18VqBdmB9+URQPHIZiibSLIrT2iE5VGn7OfcVmFwJbuOv7oByEan7 mwX/Qh7Dy2CvRifwKF2l/N7EhCuUptncjb/gm1GCzkUzJryVbPZQzPUXXN+f aihnz4TaJlcSI8J/AUv8u50ux5hQ0TVFya/pFyz/N+n74xET+l2hvLI72gsT PY7ZTSzMGGjlrsT96DfUJ1PUy+qZMe+AqBUXUz/cKNLXc+9ixn1d+ZdmhPvB otl483/DzGjf2F/+Q6UfKjldLY3+MeNhQarzjV398PFs/NF3eiyYWN8ZEp/U D/kOS88Lk1gw/Gqw9ajGANwSrNNIP8SKw8p5k5K7BuG9oVzxHn9W7K3wK1d2 G4Qht5OweoEV35iytigEDsLWfBEHp3usKEi7XDKQNAhjlq5haxpZMaTU/8Xd /kEwjaA3hWxlw4PzJQsRp4dgcU4gyF6cHafjO6U9o4ZhnZznv3/r2FH3SLXK 3+Rh2LOjKDpfjx15yhduhz8fhieJ+1O5rNmxQi/BZnftMNjrpH8tjWDH4lXP c108I5B/ZIO05hQ7lrQvPWmKHAHPbofPrPUceDJId4wzcBR4UvpPBHZxoJyd ikTqxVF45ewv+3uEAwXiO//Jx4wC68/IkBJmTnyetaLc/3QUsjpLqIGGnJha sp/u2z0KIx2K2b0ZnGh5W7fiBo6BX/Nk/PsQLrzpdHMgeWUMhONDgBLJhXH3 uXIzOMahxIaDcecOF86pD+26LzQOvE0KuwJecOH8Ib5T1pRxyGuwZ6cMc2EQ e353m904MGrfhdyx5caFBV95/8xxCKy66nmSwoNlCZfsIjfTQH7InGOeyoNP M3/yVhrToI6FOycUedDKw6Vl2pIGKhg7FX2ABxcbjVtVnWnQVXL3ctZNHnQ6 e2iZFkID48KnqV0ED3rvLbSaf0MDoZRvP03f8WLOB6kdOZQJKH1/42JtJS9u kzpYa6s9Acc6d6+1a+HFsMUlxoT+BFSJtRx1o/GilfwnDyaTCQiJ71oMluXD KyMu/FkuE9B/jSZecJkPG/CU2WjMBLwM4NsrabkG72drRvaOTkD9A5GQ/H1r UK43pKaQPgEjldJpJt5rsN5Z1CV4ZgKkpdQnjl9agxZhauWj/03A1XKziPLi NajfMD5oKTYJ+4QvvfZby4+HPx49ooWTsPx6SuTTCj9O+c3aL92aBNHexc32 3AKo/yqS7+HtSdDmYjo0Ki6AtiZi5w2SJ8HLlT9PaIMAshnkFNmnT0I9m+aO w0cEMOL+jhCN15OQ6uh9RqBDAMPXUjx8OiYh/cIxmq6TIGZllG04LUoH3TLu xciDglhSwP1xQoIOZWzZ7L+9BPHx9rxcNxk69MUOKcYGCOL68dAx6lo6yD8+ 6DQeLYjDRjp/H+rQ4UGlTWX6R0HkYNw6e8qSDolr9FOF1wrh2m18n06E0GGt fWvuUTUhdEk6pmkeSoeXSQHvy7SFsG7xsrb0JTo0K+S3+28VQin1JpHiq3Tg 36DKW+cghDmnnbe/jaPDjX2SwRGRQrijuXBxJosO4WmrdrOTQjhfPf03vJ4O trrvAjVnhFBC6DNbSyOZX/npBM8lIbTT8cmXaaFDyQCtuZldGJ07bVafdtBh WqXLJl9eGNd1BBkk9dLBM6/Y+rCtMGaYH1LuIehg/N7fsvO1MN6yOd+vKcgA fiuNowIlwlhY7zorKcyAnp/DUeZlwuj308WBVZQBwauu34rqhTH6mB9/swQD CmHXzoRhYXSQ+T1hqcAAxWqKmZWECMqpWRpWaDGAqa0PP54XwdZ1I8/GLRhw dbw0/fwVEQym7lzJtWIAN9Mjls1RIuho3lx6bDcDhLUOVBbfFcE3k6zPB20Y oBLZsvNFoQhae/nfKN7HAKutX/ZkjIjg05o5n2EvBtzOzHSNshdF9r6CusRQ BkiWXPlkfkAU3e7IX+K9yICHze7y7IdE8e/UF9XwSwx4+lem78oJUfwviM3j aDgD3jnd8boQJYonoq2GFKLIenmv+fmXimKtfYCK7m0GqJ45HOygIYaPO05r zj5jgNaW33vTdMUwuzAjXfY5A/SZ9uvQDMQwzsIx2zSHASYxliOXTMXwWKlt QGweA9yy1jvkuorhaw5WdcGXDEhqn9ZhiRPDVYmVte3vGcC+8dLoixkxlN9L feBdywC+lYUvy0ti+LO/z8CrjuxHeUCqGZM4hp5czjpUT/bX2tOxm08c1/Wn rjo1MsDIx6yCQ1Uco09srNvUyoAzd3nTDu4XxwNuEb6VXQwYmru3j/eTOM53 +fALjDEgw5h6+leFOHZzlFz/S9o9tjHuRa04pnj4dNLGGfBTmb1mb6c4trPz C3yZYEDL3lNbH86IY0PA6oonwYDSl7sVtTQk0Mlp2iVgngH3TjDT9tyTwNdu RE0lKwEO7x9yKKVKoF+u47sENgKE2Tetm8mSQN5TrkUH2Qm49dDf9d4rCVSL F+ye5iDgal134+8GCbTZP8gjzENAgPqb1wFskvhmaKeGiiABVsN+YYmBkvh0 PCL5mQwB5mHr8nYES2J2kkmKoywBJmI9P+cvSmJvvUcPixwBW8ysN7nESGL1 ooy8izwBGk90ZtY9k8TYnJhPLEoE8PrMHinuIeOO5ft0VAmoHwpz6NwphRFb I8bZdAn4FmoQcWOPFP7wEX31kHSlKPHSyFEKOfeFdVL1CPi445BAuqcUVvEc MDm0gYC8LJPao2FSyMN9LuOlPgGx3py48koKRa8n2hluJmDPULymvLw0Bv66 vabdmHxPc6jdVVka09lLNtqaELDrtOHFFA1plOaaGqkjbcHS2yxpKI2c8gMj 5aZkfYqaZ0VspZFQaTuebUbARteqMq5waaxcMOA/ZEmAbPuS48ywNLmP2ofD bAmgVXhe/pYvg3y292g3DxKgkNDpd6tIBuNuPHszT9rBbY+jwwcZjOJylfFw I6B0cbNG3zcZbKN/KNR3JyBRS6h9YVAGZS1OSf04RMDWe58pFGlZ3GDJZ8ft TUCMn2zTteuySFf6l6XqR4C20Hc5U3c5ZJVN4z4YRMBI7Ej4XR85VFZlmcol /YhnYXT0mBwWuYsnLZPmY5N8FRMsh+lbzkrfO0vmO3/A/HuCHLayL4k0nCPg Sc8v/6OVcvimaJlT6zxZX/bw5zh1eXz22q+59CIBPDDn0TMjj6IBH/IMIwkI NlbjerMsjxpyv73DSI+YuhTEMSugud25/i+kv1iUL5sIKCC/saC6dRQB5+1j bz/XIOPNsktu0QRM+KhUnfVQwDmb7R3nbpLziXFUE2pSwILpDt3LcQTspDsv rHVUxH2zplyLSQSkika0XdqviE7ZCQU69wiY3Zr7osdFEad71dV9ST++seKb 5KmI8ccYKR2klykPO7kDyPuPckMLk8n/4vnr/Z8bimiU5mzn9oAAwU730NIy RVSlxpxMeURA5xdvZuf1Svj98RmprEwC/hj/lA7TUcK0QhamJtKc5Tb6jzco 4dePy9+WSBt83uI7skkJF2zvsNhkEXDng2DDKTMlFItwklgkbVP0MfmmmxI6 V67p3fGUgOonorqf4pWw+dr3hJpsAoqjKt0U55SQan3y69V8Ag6zB/U1Nq7F q61T4zFvCPA6daGY78E6/HF5bsvbTwTo+Go27vZQxr79hQbVFQQ0Ca/nDdqs gm8vGmsE1RDwoSA8ZT2rKv7p4s8UaiTgArOGbf0vVYwurLcIaCXn13Pewr+I gjJp0TwbvhMw/FTpTlqoGm5SMJLf3UXmrybF9t5RHa1f52RZ9hAQ/+DwVw9F DTTS7lz3tZcA5zsHG/lGNdDujOTzpT4CFnc8WUor1cTQoHI7hUECBodNgr9E rscmkXwfxhABGdv0ZBo8tPD++DJL8QgB+deChHy1tFEoqdfDYIyASEevXaxz 2mjK3d8QN07uV0/688gGHeSbvOcwQiMgWT0lv2GXLjYmWqvyThJwqSw2edd7 XZztsvTTphNgLeP4pFZZD/26lDr0GQQY+391EYrWQ6NgrBUnCEiT9VSun9PD ai1LxyXSyhXPkva4bMBIJjOtT3/I+rS+aLSWbsAvglsGTk6R/Z9ha6nRoKJw n5up8jQBni+nFaPjqHiNyY6nnPTx8L2rVglU3DrwsKCCdNDeoh98t6moVCpv X006ai7oVnwSFYufVCXVkS7YvLRy7xEVy2ayxb+TXir/9/1pLhVbOHmnaKTj W/liK79S8crCIWHRGQIeZJ44cr2GimnNbKnipDPPNJpa1FHRyWtMTYr0G/H4 5bpGKsYMnjSSJ93jLHKkrYOK3VFRzmqkKYNSpgODVOz7qHTaiLRu0Xn5rGEq jpsPTW8nveVa95LPKBV/6U0EGpPeTXlUOE6j4gmbryfMSZ86pig/NUXF25ll rrakQ42uLL2aoaKbbsF3e9LX1gy0n5mjInoP2DiSTn6ReXNxkYof+hXQmXTG ZTbfkmUqGnxQf+tKOtfOxyR0lczX5YKWO+mitdVy2/+j4kEesUwP0qUzqkv/ /lFRUmBBwpv0/wB87/yN "]]}, "Charting`Private`Tag$6579#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1nc41t8bB3CbUNbXXo8tKzwaUu4bLaWhUBkpUqKMbyl8iaJISHZkUzYN imRl75GyQlY8PM8niYzK7/n9da7XH/d9rnOfc67rLWPnetKBiYGBwYiRgeH/ a9JtOzati4n6VY66feEKu/Trekkmp0lecJTXxcdRUQg2GioDSKQHIDE6v8VI URGSqsOkWUlPQPttua2F4g64utfj2i/pHIg+aaCyongAetcdo79Ll4Eap8ZI zlYLYB8aV6JKN4OFU+qlEJ1LkNaS4j4nPQBGBr+2Xjh/EwqLHgxd1aBApodh 8l/ZYKDwU0IPX6BAvnzsVjWLYFC6eVhfOZoCvMNfM64/CIbUPVxpE6sU+JuY c9r0ezBENodesqyfg7vixk7Hqh7AzYlHCwetqRAYuyv0nt1DSOFqDeDb/x1Y 7U6x5VSFw2XofjL/7yIcJocGzS9EAkP6cvnQw0VIvxd+RosnCuJZJIZbMhch MDGD/6FaFDQ1X5LK+bQIwussI76Xo0DZ7He6w+6fIE+EyziMRMGMo1L+COMS lATpR9l0RYNTpG9lV8QyPO2eYZBoiAWmpfTRqpxlmF1oajg6HQsJp5sYimqX 4RPL9YYnbHHQIiFgFPZzGSYj1TXuHIwD1efZjcZnfoHTgnRbZEsczL/r7aqV XoHJ9eMJc33x4DK1deJ14Sp0UbQUPjElwti5AY6a5lVwOf4gq3xrIpzqD9Zo n1yFDPOZmPoTibCr9ZvXlNgaeAeGzR5PSQTmF1m8QkFrUFvgf1Vf/ynE+8jo 37Jdh8GUncL1AUlQIyD6RJf3D1DcBHp6hVNBJ6ypcr/qH6jy041eUU+FZ2ye k6YH/oBdmFDq9n2pELr6aZuTzx/Yynr7yKpbKliMRjckzPyB9oYMxvzWVKDk 8v5cr/4LBZYq0TP30oBTJlBpdBcDKgj2TkrxZEDTnsfbbu9nwMCxI4+XFTPg /pnknZInGfBl7czSjH4GMEW8PWjlzIDjz/5kSLlmwNrf+cufkxjw34ai9p6u DJgbNs/uZGLE/+5zH3vwJBPa4pW2VrcxYtBJimCCwTMIea2jZTvAiB+UrQZU bJ7BoS4D3b9TjKhUpTc/7PkM6titjfdsMOLNbB1aVvEzqLgZceWtFhPG/TL5 0y3zHArMVnOKY5lQcMw4oYkzG8J5W1XSzjOjgm7b8/WVHCjbKVlyzIUZlXba t0yL58LkOVf4/R8zinN4jjNBLugVCJidjmPGUUO/G533cmHG2Np3cwczsqcl fqoTzAOjAGqnlx4LZsb8WPeEfFhZ4vE4KcSKBn4b9b8qCkFO0m5jQ44Vc/xo Jm3ThXBs3+sHBVqs+OHttM8obxFkRZ5J5jjKiu3Tph0fHIrg5La0xsoAVixk chY23lQMBY7aYqoLrPi3UyHBuqIY7IbMqpjb2NBqE4dtwN6XwJn49Zr7ABve kxN57WDxEl5aukiMTrPhZFz+ZxfXl8A8GORVzsiOCqcvVC+nvYTM/nKy+052 XGD1KJnieAXTfaTskXR25JW+rRc08gqcuuYjyrw4cGHw3AedvBLgj/ACpSAO 1GHrSY5qLoHy42y06GgONIm7biQ/UwJcndJH3Io48E2nveewQinkt59kVZri wOqY0YJXGaVAa3nrFX1iEwahRMeZnDfgXh9o56rEiWIrJh73RstAavIA2zKZ E+PT+n45MpVDK9OmXB/kxOOsScyBCuWggGELD85y4iZvsVN2V8thoDzGP/Mh Jzptcdzb+rscDIqfJQ8QnMhU+3c4T7kC+BKbBo3ecmH4wfSHZUWVUFkWcrul jgtNT1d/tRusBOd+E1nTbi6syD+3aMpaBfWC3VfOUbgwwTJiL7N1FXhFDKx4 SnDjHPm4zHm2avh6jyJU6M+N0VO87pyV1fDCjfuUiPFmnJc9oTxzuBbaEgS8 Ciw241PLYxbHL9fCdJ1YiuHFzVg4Z+g+G1ALYqJb5676bcbKyldf3ryvhcCa /QE1JZvxb9S5okbyB7Dg93vlJLsFWdLS+FhV6mDt1YLA+/UtmMl8UzPCoAH+ GVnRPbmJB0mBrbe4HBpAg4Ph/DchHqy79TO4PrgB7K235PNp8+D5+833f3U1 QBuL6r5LjjxY8H3qtM3FRkg2v3iDp49ef8/1+d24Jkj7z5mieZoXSXOMuUVa raBZvWklyIYXS2ndmo2WrVDNks06as+LWtLOwtKBrTAWNkkKc+NFEwnG9YjP rSCVanN69gEvKoyF5gTcaYOEuuN1aRX0+pynVX1f2yFys04yvywfVtrvkXzn 1AWyJ3vyrijzoVk9k/ztgC54EetWVq3Bhw4t8bwXn3ZBl3TBRxc9PhwoTXkf 39EFW7QVuVrN+DCrypb0TKcbQixEPAOC+NDoh4vtKfYeuJvy2/TnPB9Kq7vd b2/ohROab91VF/nQ3CJSzGKiF6Rqrj+2W+VDPEuS39johfJxSlcXKz+qDVbL vNT9CD8UBo4XSPGjqvYcxhd+BLv8kqOXTvCjUPkm7X3JfWBQ5mLc/4ofIwjH 9oaoz8DQO4YV3gK4eOx3yULjECjeuORppiKIGppq/qTccVDfPXoqRVMQqUkX dM++GwcdhjPbKDsEcc2dcyGobRwMQ42n/YwEsf198YMG2jicy1Qzy7MWRMox raZa7QmI/fhjG9MjQXx+bpgz7O0EsG73+1a0KIgxfWVue8ongXv9V+3aqiCO BW9eHG6eBP4at+T9DEIYEpNv4jIwCaSjduZD3ELoFq0naL8yCXsc9n9gUxRC 86PDApHbp+BGDFeKzRkh/NGzJrKQPwWTS3EWXO+FMFbx3K3tj6Yh3YB8/csH IfQ0pQzMJU2DbVjHo6IWIRTu910Ny5+GQXnW5lP9Qmjzw9Yipnkauk/9q/d0 UQhNPU1Yipm+QeULE5K6ijDeOSZWKuD+DeKuMVKOxQljClemSqH+DJiVPWWT SRZGiZNG0iOHZ4CfdZfcYqYwRtpdv7hmMQPhT12s414Ko8UgVXTFZQYCW4c6 RtuFsYht+9Cm5Blw21r6yo1FBO3fq56IWZmBw1NOvpHuIvjxcc5wd8osHPCV y9/nKYJvJBuu++fMgqHg8ODybRFMvuV0WerVLOzef3SXVagItlM+v1NumAWV rG2Lcs9F8FujVaDX3CxwOfx0LBkWwcj13F3SZAq0Tfqa9R8UxaLI3ZribyjQ 5LMjIOSYKP7jc1X6ayUF6v4hXuwxF8WJHX1GTxooULHvPE+anSi+2VweNNZH zz2Zhi1XfEWxk9fVq32RAmEX2XH9pShWbLGq11Gfg2OTEapSUmJ4MSDbozd2 DtpUJz9ay4vh5cGAg6lP5+DI9Z23E1XE0HD8qpd9+hwcYhrpEtkphvmZKdBe MAeGJNWbAifEcIdcLkmzbg62W9dXc9wVwxdLrEcMiDmQ+LhqvjglhvdDXkT/ 0Z+HBPGjG1rzYqi14r3w2mgeRO1Ts91+iOGeHWNxFw/Ng9CPA+vUv2IYsrq+ km86D7y80akzwuJ4/6Zw6IT9PDCbaMx9MRZHj9MtuYv354Hywc6/qUAc1weN /640zoP0436n8NfieNDfelGhbR7Mzh0zN3snjq48ccVHuuahckVXZaxJHI9e yaq40z8Pkep8H39NiCPJ5k/mk5l50IurUlISk8Bbn2PyAtmpEOok0XnvvgQa 3M9sS0Mq1OyMLDsSJoEKQ+G3GPdRYZmFI5MvWgLfnDe8Y3WQCudTFj2T0iRw LcXyy9+jVND52CJbUiGBS95Zs8xWVPiy1+vm5A8JHOQej+K9QQUNvk+SRraS OK/9X59XOhWmw6bvxjhI4t0Max/OLCokcf769s1ZEhMPhpvEPacCN4vIy1BP SWS3jg/MyqcCZfnsgU+PJbHT7wB/TCkVsoa/uFypk0RG7f1uDc1UkMieqnq0 VQo7xzZ+J1Gp8FF+WX58mxQ+srbYV01Q4WEaW4jODin0ZrjgPbpAhbUEJbMB QynMfK/W9M8yFfrDrszIWkuhRLmfn9VfKkRdp/KWhkuhoC//uM0WGnDC0oXh RSnUnNgRf0aNBp4Gyhyla1JoNMEcfUiDBtNGVoWPGKXRx3Aud7smDWoP1awZ 8kgj6+ubwK5DA++TYVE5KtJYbMcWF6xHgzkHhfqbF6TxJ8dWT47DNGgLNVfm 65RG0b2SaVIONNj9KLiD0ieNrddPxb27RIPsx+9u1A1Lo1yxMlo40ug5Xabm FkUaZe3kywOdaSDVtaxGMJEwNOFFdYM7DT4N1NabS5GwjTs0aNyXBgeplr9k zUnoFp4zHBlNg+R/Anr9zpCwsT1I71sMDX7q5RUNW5HwyK7CHt04GqSGrF+O tSPhre3DJQNPaLCm9LR/kxsJGfbmp7Ok0CDf7kvZ9xAS+q0kJGzKoQFvv61P ZTUJN/Y9ZJ94R4NLG0FnxOtIuEOLPMD8ngYVisU6no0ktLGd3SVXSYMrHgxU rQ4SuuTO5NlU0+fFn2aTNURCYhtPWk0dDW4cHdcPXSZhi5N79cF2GvTXXmS0 VJPB7uuqFVZfaPDdYFDMd5sMTpdpsxuO0IC95rhOqrYMhtS8Oqw0SoMdVbsv T++SQRd15RraGA2i3/G2/7tfBmNznGPcJ2lw/HVF/MNzMsiYGiR9aI4GDVn/ aL6PkME3YYVWhis0GJEPMR6LkkHKhbPunKs0WMrYsGOOk8E5Voa8brrl0ykx xkkyGHVJ7JHNOg3uJlev9+XIoH0xyx7nvzTQj7vaSKul1/uqadiyEFASXHeO tCSDyVte6r3gISD7cKtI0Aq9H8/CaxdeAhK4e3qo6zJY6PPbTJWPAP+I0QPv mGRRv917Szo/ASbxaxoWvLIYGZ394J4gAePPNTceqspiUv2RQgVxArY0Pk35 dUEWj6TVFvcoEMD4IOPsOQdZfLOl49AtRQJ+Hs4VqHeURY1TTariSgQMdLwJ inSVxYb48E/nlQnI/NTjqu4ri9lGikMTKgTsnuZA+3hZXKqT8WreRsAlVo+x jg5ZdLi/z0tUlwAx6ebP692y2Pk7930K3R27JDuV+2RR8lOor8JuAnZcrX9/ d0gWX0c5/rtNjwC2XsHEHTOyKCjSZbh3LwFZqaXmyYxymHI7ZrOBAQGTeist 13TkUPnm2UjqIQLs//2vhDtBDleYdItXLej9tEdKtibJYSKJwe7CaQI4f2Dp gVQ5FJ11KG2iu9id7Y3/Mzm0N/pwKPYMAb/dHr/9+VIORfwSpdUtCYh1ff5u uFUONaT8fxjbENB8tbcm/48cGn38+dPQnoBtl1U7TC7I44W8e7QDLgSMXJF2 Lbgoj67OQtZpdIdeFeDd4iiPb/M23Vqne9Z93bTTRR4Nv6SVFroSkOHT2mfq I4+bV/EynzsBwpHOXyzi5NF7d8HXxusEbFTkzZ9vl0eX7J3v1j0J6ORX4/LQ VcD3gdpXHt8lQP/atdnEPQr4z8Finj66CxsLG2vpKVyS2dRfJICAcB+tQN4D CujBP1ydTLfJ9I4/eScV8NJ99frsQAJaygyIcWcF5Mu9zfnqPgH150/3nkhW QNGC5V9pIQS8K7ybqMasiNe82nl+Pqbfh4m5WBybIh7YreatGUmA6azSE0ZO RTRn9nl1le5vcu2xn3gV8X5zVdQk3QJPhCP9pRTx5aI/b08UAc4B+cEfdRVR R89MKTOGAPEznzx83BTxSdspkuITAv5jVDnR9kURc6IdVPNSCJjex9Wv+FUR FfZ9GBmi+0TwvO2dSUVsyMu6xp1KgDxPkeuOOUUMsA2WukZ3m4TOo9QVRVRf yelSSyNAapd+xw0BJfyTvRydlU5ArctJE0ljJVz5zhzim0V/D8Peh1xeK2H+ ofpNHbkETD2TiU7xUcZdpArnsFcERCuLspSZb0URswMsT98REJFwqfECSQWX bF5FcdYSYBlt08H9TQW7vsp63W0kYGVf1mpKpSr6W1p15rYRMDFl6FkbpIaD foa/RroISN+rJd5+QR2vSZ1yG/1IQME9D77L6ho4EMgop9pPQJC5/RHmJQ10 zrolzz1EwPbhtJyg9m3YOybD3feFgPitiQXtRzSxRmjCUnmMAL/qsPgjZZoY vunWY+dxAo6Km2e1yGvhdyq/pdMkAQYujVZ8D7Rwbedsleg0ASkSdvJtS1oY LhN1tfYbfX4fnsces9JG4YcpZNVZ+vnUa1V6KrXx7GduA1cK/f8usnQ3q5CR 7bKW2Ys5Auxe/CA9eETG6O8iSvXzBFy9e+r34cdk7KLeq2um2+PU68/cUWRk zzt8voPu4CWP8IhYMlo+Gon8THeh7up6XBIZd3IdmJyle7Vm49OzPDJuZNbu 2kKl79/DHVbXSMaLjN0F5nQnZFxzvN9MRvHEEmFLujNudBgdaiUjtwOn/zm6 S4Ui1lo7yNjnxW5yme5hSwHH3j4yBpMudnvSrTQhajQ+QUbBJuPIRLo1X3tL ZU6R8U1O8EQK3bvvDa06fCOjyBEjcibdJkpJxbMUMh5P1+jIp/tfZ5LUwgIZ B20XFt7T7bPnzurLRTKWb8jsrKX73ubxjzeWyCiw0evdQHd8UcbDlRUymk1W /umgO92f5XL5GhmN1Vf39NKdZ+pg6PObjD2Jb7w/0/1atkFS/y8ZvcfWSofo rlxUXN3YIKNV3oeFUbr/B8tgqOg= "]]}, "Charting`Private`Tag$6579#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1Xk4FNz3AHBLqaSyZWfGGDOMwWgUess52mQriUqRkKUsLSiJ9MqSJLJE IXsliqgkskf2smRJm+xmKSJL79dvfn/d5/Oc+9xzz3nOc6+y0xkrFwE+Pj4P fj6+/1/TrjgJ6ZxMMfzR0P8p94+wYX0X0fww8RJUmawRbawYN1xuqLxGJEZC b9fL1ISKecO06mjCSuJdWOz8khBRsRo8t/t5/SHkwcyfS33PKmSga8k94Seh DKKNhAg33qjBqk9DVDahCT7Pn98lWKMPmc3p56YI/cAoG/i62L4XnhZGfvLU moQ355ap8fJHwQ0+3GWdn4FDVKddj4udwXtE/cfzpwtw/rNaqEXcaRBWDqV+ 1efDYGc/qoT5Obgl2kLLPCGIX796FmS6+IHTJ+sqwVYhFP7QJvzHNgDOvQ11 OkMVxrCma7LhP4Lh2VmRgzIm6/Dso2qH5MkQyLzsMck4LIq2pXPnu4rCgVG9 Zj7CXhTPEzOub6kOh+oVj1Z+dRbFt5Kjojkd4fAtepgYfVYUZy4b597nhINS hv3hiUhRnK7dKymhGQH36vfXZ1aI4u15Ia5AQQTErdO9L04Sw7IknyTL4usQ kv73wG+WGO6TzLVy+XEDLBmvzmnMiGFX4QjJffYGKNX43HZaEEN9L3dx/1VR 8Hpo8v37leK4pqciokojCqZV+/c/URLH0CDjYxzfKHAqeGHhaimOoqbTx/vW 3ASjMm+TvhJxfBAtfs3YMBr4ur5hRYAENgXMxZB6YiB0ojIz4F8J9K/0O1XH ioE1fGkCBtclkLlnp8U2gVgQ17Stf5EogetL85iicrGgGvHBuLBIAo2Hnujp msaC6T+1+7JGJfBfcf5T/gWxEJ+dbXfdShKveDj37L90Gyi+rv7WtI3Y5v7i o49ePGhu/XownbERw3RGI3F3POjyHdGe3LIRFWRLj8sejIcdN01Gg3duxNCe A4+43vFwPIdunW+3ESfonfaMh/Fwp3taWyBmIy55v36yQS4BVm4OHiuc2YhC VL5LL9YkgsjSn9rFhY1YTdqQT5ZNBPGas/d380mh/49TgllqiUC0cLL5JCKF XLa4d6NxImxz2V0nRJHCP/xhpKrwRPBNXJtuf0QKYzcnKJxfdQeGZ5MOrX0j hVu2kQY9JZMgy4jp87lOCis6qjhbqUngEN0eU9gsheKudcEKW5NggLyy6WCf FAbOxd+QO5EEHw6e/yd1RgrbX+Sar3ySBJXPzImaNGm0tBE49dQ0GZK8+Cf3 JUljrkKqD/HOXbAuSxVSvi+Nt54XCCTl3wXxlfoqMznSaNe69IlccxdupXrb JRVLY10m32w46y6Etnxq/9omjUXVh6+577oHZ9VflpxdIYMvRwncqvl7YDpy OijunAzqXWbK1fumwp4glYJd/jLos/N3ztzNVNixcXBg7ooMrqf+pu/KTYWt uy30j92UwaH+2m7Gx1Sg5WrPqDyUwUhGyYy1QRqsdfnt/mJQBh84dH5lrbgP rcNB1n3Gsngns6rmVnE6vAvccu3GPlm8u7V4jW97OtRLcp9ts5FFz2aJoUuT 6VCx68SGTCdZvJ28XchXLAMKcnY0nwqSxauxBlN5phkQfXIVLhXLojL5gp9Z dQbsG47VUFKSw2hQukgpy4RWjeFuO7IcrhfpdjB8lwlmPnpXUmhyOLv1zWW3 3kzYK/DlvYyeHEoqRJawZzNhB1HjgoSlHN4fj1toZWbBZru31atD5HBVcCGd U5wFCt0LNjMjcohuIlnBVdlwT95iWYclhwfe82+YeZ8Nss4Zj85OyyHT2g4u D2WD1PSeJfb/5PBY1KbTzStzQFQ0IWNcWh73qDb7ulnkgKC51tRnE3nUx9Sw sm85MFnndPXdE3lU6iqpLZF5AITbfadvPZfHi40O0uVaD8D6+D4b63J51K7U V/q26wFUzhvQvr2Tx5wV8xtCzz2AOE2x7j8/5NFh2tDAoPUB/JNURaXKKaBg VVdRRMRDuHlaoSMsXAEdBc7P7ZLOgxq9uDKzaAVUHS4z99bJg7kVq3PEEhQw v1/4XoVZHpxIn/FPy1TA2PJ1Kk1X80C3u5n0okIBgwfaLPJYefB5+6ULw9MK +FEupKu25TFoiX1U3OmgiB3Rlycc8gpgNHo0JNFFEe9aUkpTGgogTfjP2JiH IuqNJI4u/ygAkRUyxTf9FdGi/ErIDsITmJyz3fPxtiKGSM2cf5X0BHIHP3uf qldEX2ql5sPYp6DwaKQqRl0JxyJ64bBVEXST58hD2kq4Dtvd652LICpT6Ibu FiUs27qjyNSvCBbvUa37dyih3ol8i+zkIuiLPjVOslPC/h778shvRRDvwxZ9 eUsJ9zUmHLL2ewbCMOs4OKOEWvNis/88LwZ/I7XVLxeVsOJszuep5mIY3Xns aQw/Ae2GD5VUfy+G2r01izs2ENAqU9d0YEMJBFhFx+fRCGhfwLe7x6sEplxU 315wJGDa1t4ATZ3n0HrTRk2sg4D7FBU3ZPW+gK0x19snewgoppFvHTnzAh7d LvetHyTgdtLvyfQNLyH0jnLNxUkCvhKVC7fb+xKU3s/RuQJEVDwwv1qp4iV8 7K99a6NExIvRA16yT0rBmH30D8mGiP9xVp78WFoG9yWvdQUfIfLmSSC4rb8M fv+TXzh4jIj0Nf0ay0tlkHFjye2OExGTd75dI2n0GhapqX1rzhLx5mLSE9H2 11Dg9Lns5w0irjQwpVTNlINon0NgZTURBzo92zzOVYLrcsQR+Xoi0n4eaMtN qYQKSpGufyMRH2aUhtAaKuGUHx9bp52IMazUfVIKVVArnmmf+4mIVn5mjhEt VeBrMWR4c46IfP+LW5OXWg19tSf5j9KV8QhHnepKq4WfRgNyQdrK+G+SH/3v jlpYVbNfN2OTMv5coWJYfqwWtlRtdRvVV8YNNc9SXkTXQkK5aNv53cooqBjx PWumFvY/r0iOOq6M39qMfNIa66AhV5LxJlYZ7+30NBGJewtfyDdMvsUr4/f5 5u37it7CbPayk2CSMppc/WVS2/4WyFmTiSZpyqifKN1lJNIAIferl3rylNFB yKvlQWQDGCZ5NnJqlRHNpExMbjXCi+v1x4mzyrhttW3Ar+omeGTaIhMxr4wn L5E6KRNNcE+ks5O9pIzsQLHSTLFmuBr7dU+5AAkjwuSCTzk3g3nyotYhURLO 02K3mQq3wNBDxnKUBglXLxwzSHJphfWNqel/HEkYTd5cesy6A/gjs22Pu5BQ kd+K3RPWAb9NH0u8dSfhiICR+f3SDuhvL42IO0NCfqaRzLr17yHnY+cZzSAS CmSYuTv6voeto6vROZmE9ayBv/57P4DrSr9v7e0k/OolNHljfRfIEZp6lz6Q 8Mn2n5930rqgXV+xQ62HhKdD3ygS9nTBFs+3b0I+kZAl0K677UoXCHVtTNky TkLr1QHH1//sgtyMlzb3+VVw8rDP2GJ/Nwz/M9/spauCU8ah7eNvP4Lz+csv RO6p4EGW4JWYnwOg7abRbu5IxoJlPcP23u/w5RThzJOTZKx30Oq9PfkdbnpK iK53J6MlTeyYxX/fYeLc0oEObzLeW4pffkwaguzAlp4DgWRMbc8bmfccAuk4 j8+Hksi4McdpLGt5CJYr8lkn2sj4Vyxq9JL8MDytSo+ueU/G1Vpphyrow2BX G69F6ibj3v+4ZO72YShrvHz2xwAZL5m70lRPDINPp9lvl3EyRvDn6rZnD8PY 2NTSaUFV1GG0R05TR6BDnL7Wz0AV48cNpvJJo2Do5TWRsk0VC6gKSS8Zo/C0 8WljLaiiy0/ZK0WGo3ArUCdUdI8qckkGXeeOjoL56Jb/8q1Usc7wXZL67VFo LjPiDnmo4pYSzVi3pVF4e+Jwl+V9Vby7KOwoUjcGuuXJzy5mqmJuj2jcbPsY 5GwciLmfo4olrXWtbQNjENpsZ856rIrHz5QEmE2PwQ5dp7cRpap4EstiAonj UL3Kq7TyvSouP3gc++bSOJQ/DUmhC1Kw2bszai1xAoTMbeSShChoaZw7UkGb gAMT1Lv8whT0/ZYibrd5AsZU2u58FKWg0XSe3knTCZC4Kx13VYmCSs29c2k+ E+BxreB6twEFzyWKMZtrJ0D+yEe/wLMU1H3VkJ1jPQmus49+j/pQUGVPCvMf +0l4FnfZ58BFCmY/nvOqdZkE4zbiOcoVCg6NG+/IvjAJPjs8PN9H8fY3vFvz LGkSWuh8zuSHFDxutFNUvHcSLvPTLFs/U9B2Y51CrNkUjO5a20f5TkEXB/VN plZTYHmd5fDvMAXX9JbbzB+ZAvKGwjNbpigYLeihoOM6Ba0KujEZ87x4huGc 1NUpUNI3bPeVoOLhv878Dc+moNbbylzRhIrd1UT/7etYQC9mdl80p+KFtWOl GeIsuDMrade5n4oLy9evLEqzwCOw1yPiEBV7HtuN3yaxQPKGXdQvZyrKiHAJ VnoscM11bX57hYrb6bv2UR1YIDwYsNf7ORVDtWP3Jj9iwZaLeetiSqlolJT6 LquABY7ifZ2Fr6no87ej40ERC17t3Wz/q5qK+3UKslJe8c57wT3n20bF2pja +wbvWFBz62RKwCgVpxPNOi1HWbz/bB8nXEYNGWHSdD0lNuQMBpY8lFdD8uSt wQhlNnRczPd/p6SGI925rl1kNlCerhYUVlXDIqqC5jENNnTJ1UlH66hh7Ilt YVr6bND6rWcUb6qGRtJhW1mWbBh5oJyQHqiG+y5WSC9fYQMr9PuC4FU1VMmf /zT3LxumnTId3K+pYVi2c9tEKBv4CMoaOjfUsEFyl33NDTbIJRFra5PUsFDI lql/hw2WEYSfI8VqWPbBLcq8gA0Vborm9Ak1HMw4Xmfaw4a63Z+fxbLUUK5X f+5VLxuaVdKkZ7m8+1OdHVQG2ND7VeHHmzk13PDT/RfrCy//YYWA/SvUMWqd 9sDBcTao7ZV/dJ6gjtWfZt9cWGRDgprsijIbdbwdrjm5XYEDdscpD38cUcf8 A3aFikocICcwTdfbqeO7TPu+RQIHni9bxDo7qaNMeqvbExUOdH8MUVh/Rh2N iCrzMzQOSISxdJ2vq6O71niGsAEH4r5XuawrV8eWNJ2AgIMcOCrdtlq/Uh2L XUU61ttwgGQxkO9Uo45qN/pXZR7iQPGr379KG9WxMu4os8qWA50x6lecutXx aPVU55ADB8QM4++UstXRNfIopdmDA7H3XBsdiTRM6G9z1Q7hwMULIT6BKjR8 GVrQGXyNA8et7hOSKDQMOq+U3B7KAbrwx4utdBreWa2+1S2CA02XdqvpGdCw Q6ORFHaTAwK25EgRKxrKH8SXfnc44Cc9ZFp6jYamTIOgrXm8/sz8N/chnIaD j5U6jz7mwK4O2WxWJC++JrDlUj4HxCMOLCnH0rB423hJyRMOPJ2rzr+ZSsOT 2a8TpIs5MN6TLuL0goYxI4LWma95/UiwbxcZo2GmWhV/czMHFEqE5T0maWii R6rtbeHA1w+lbk1sGsp+eKc93MqBkxvE+cN/03A+/ZD8QjsHvG80MJf5NfDY 2XYviS4OhFzVvvtLQQP9VTY3rP3EgTxP/pMfrTRwyre3WGaSA55RT4t0D2lg QhSRvcyz1uNj/8XZaqD+UxOx0Sle/8de3Nl/gmcCS7GQzYEKp9NN77w0MMP6 zgXdXxx4f6RLq/y6BvLrDdxcN8+B+V25C+mVGjhy7de04EouBJanX6uv0cAl y2nZSp75Nt1bN1GvgUIZKf4XhbiwihCjvKlFA7XEt30fW8UFqQV/k/peDZwU vh9UJcwF5hPzu+M/NXCDxYVWU1EueG/8ra+jQsfAPZtK++S4MB3FqbWh0PF8 aUvLZXku+AlMmAeo0zFqJkhPSYGXn/v5RJ02HT2FSqQdFbkQ1dR43WYbL/6z XOIrgQuPglL6LtnQsSUn61UFmQs/Rnb410bQUcKY7rxCiws70tuzaFF0/KVs x5/Bc8aRo21xt+j46rrpn63aXDjeco7knEjHtTUbON4MLgwUZbQKZtOREH+f 2LGJC52X/0fcXUnH/EW2wzk9LtSKvW5q/E1Hrcws+k7kQtZ2Hfk2R008HODU t8eSF98nfG3ppCbG267vecnzkMOPSXV3TVy1kXCKcoALKiGJr8O9NXGTnIft Cisu5DQs2OJlTezZ4e5efpALuftrk0sSNLHM3i9f6jCvPseDUvcaNVFX++1/ ofZceBLmJ+amqYUVs9LBR05xgbXNPiSMoYUXvSLEi3im/941k83Uwm9U2WOr TnPhsZNkzzcDLUy1/SXygudHUJJ8dI8WjsYE/RXx5OVf+EnY56CFaUZfDxR6 c+Gel6fW5ttauGyZPVflw4UIG2czwVktfHXbcoIYxKt3/6Cdy7wWvhtZJ+fN c4WJjXfjkhaqPc9fVc7z9Hbj21EC2iip/FrO+goX7CgavRKi2qhccFLtWjAX Nv2ZdiJraGN/91NSz79c+JIcErDbURuvbowMNQ3nwubBzLyINm1MjdxpG3mL C6Ja7vOF77URckOf1/HMCtYy7uvSRgNljx//8ZyjUj6sNqCNu8X6K87FcEHS o5vQPKqNX78LOB+O5cJioKCZEB8DAx8wsuTiuNC/dkvNXlkGwpfQ9SGJXEhW T3nSZsbAvpyrUp9TuPB7Zk/uNQsGyp7RyxVL5cL+yulUg/0MXPNHZu0enoUO mt7MtWJg4YyA/VOe/QIXTgfZMnBEYU4xKI0LVh2H1TTdGEhpatWTSOeCiJ9k 9s0QBsZJFg+SsrgQXB2dbFbGQHe3oq+9D7kw+bk6YeE1A1NF9iYLPOLCoaWZ 2IcVDLwupbVJk2f6lqORgtUMDPWyFQ7huS+fElDewMCaw1b7aXm8fiZVHdPo ZqB2UeQuv8dcGPX6pbSWy0Aa2qfMFnDBQt4mt5msg2ue2cflPuOCkXfjMbFI HTz9j5CfaxkX0hWcyK2zOugokxqYWM0Fct3DO/uObcKjlpsnbBu4EKtZS+us 3ISt0xNo3MIF15kVH5poTLRkt6hOd3DB6dk0MTKGiSt7m/bUd3HBM+TgX9Pb TJR6bGfWzbPfwee9IvFMvOZoYjzM8/VZv1uxd5hobmCiuqKbC08NFpaS0ph4 OvBWwE6eF2qWPz7IZ+Ie8aCYap5jO0Wi6xuZqN658+bzHt58Znu5hzcxcfxo XkQdz9m+7Tv3tvDyJ5Evd/L8Uip2saWdiYOW501/8jx4VMK9q4eJvR9WRGl8 5AL1h+zOoR9MXPWsITmDZ8bzAKWcESY6bpaSKeR5a9inBZcxJm4Y/RDzhmdz alrRxCQT777Lch/g+bwHUenXLyaGX95WLdHLe5+2/btQPMPEaI9gQRLPYeuG un1nmfhm7RFg8JxcmB01P89EaP6SYc5z1tUVbq8XmRggmdRwlOf8Ay47Av8y 8bnrwrA7z89JDYqG/2OiYKvw3ws8V85QFpaXmbjZ7P3aMJ7/D/qqlm0= "]]}, "Charting`Private`Tag$6579#5"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"|\[CapitalDelta]n|", None}, { "\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 20}, {0., 0.9987270868659814}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{ 3.7707898843075237`*^9, {3.771089769927909*^9, 3.771089784078691*^9}, 3.771089819823944*^9, {3.7710902762868032`*^9, 3.7710902994867477`*^9}, 3.7710906003280087`*^9, 3.7712088657880163`*^9}, CellLabel->"Out[18]=",ExpressionUUID->"59445f38-e32b-4a57-8b16-6f3ff68215fb"] }, Open ]], Cell[TextData[StyleBox["There\[CloseCurlyQuote]s a problem here as the curves \ reach 1 and not 2 as depicted in the review!", FontColor->RGBColor[1, 0, 0]]], "Text", CellChangeTimes->{{3.771208868759223*^9, 3.771208891765534*^9}},ExpressionUUID->"37633d4a-ef6d-4b02-b125-\ d807d25aec95"] }, Closed]], Cell[CellGroupData[{ Cell["Non-interacting treatment", "Subsection", CellChangeTimes->{{3.770787885186795*^9, 3.770787893499827*^9}, { 3.770788009848486*^9, 3.770788013864541*^9}},ExpressionUUID->"5980089a-4796-4e89-ad09-\ eb2ed79c7425"], Cell["\<\ When U = 0, we have the simple tight-binding result, for which energies are\ \>", "Text", CellChangeTimes->{{3.770740575334587*^9, 3.770740597073794*^9}},ExpressionUUID->"953be7ff-41e4-45b1-a015-\ d0df66d05f83"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{"-", "\[CapitalDelta]v"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{"+", "\[CapitalDelta]v"}]} }], "\[NoBreak]", ")"}], "]"}], "\[Equal]", RowBox[{"{", RowBox[{"0", ",", "0", ",", RowBox[{"-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}]]}], ",", RowBox[{"+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}]]}]}], "}"}]}], "//", "Simplify"}]], "Input", CellChangeTimes->{{3.7421431528776817`*^9, 3.742143200699237*^9}, { 3.74214328556668*^9, 3.742143453855689*^9}, {3.742144066709931*^9, 3.742144076949285*^9}, {3.742145318134115*^9, 3.7421453694344797`*^9}, 3.742146574252227*^9, {3.7707411007063723`*^9, 3.770741143925096*^9}}, CellLabel->"In[14]:=",ExpressionUUID->"e10914c2-dd3a-4e3d-a7ba-72128c1b66c6"], Cell[BoxData["True"], "Output", CellChangeTimes->{ 3.742143196025653*^9, {3.7421432979738417`*^9, 3.74214333198641*^9}, { 3.742143399596036*^9, 3.74214345442161*^9}, {3.7421440699989443`*^9, 3.742144077284531*^9}, {3.742145321437675*^9, 3.742145369956195*^9}, 3.742146575233191*^9, 3.770741011788808*^9, {3.770741120138961*^9, 3.770741144665256*^9}}, CellLabel->"Out[14]=",ExpressionUUID->"fc20dc24-2f5b-4cd2-9bcf-5f2517830577"] }, Open ]], Cell["The difference in site occupation is given by", "Text", CellChangeTimes->{{3.770788410364839*^9, 3.7707884207271767`*^9}},ExpressionUUID->"0aa98ec7-45ee-4f15-aaba-\ dd950dc870f4"], Cell[BoxData[ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{ RowBox[{"-", "2"}], FractionBox["\[CapitalDelta]v", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}]]]}]}]], "Input", CellChangeTimes->{{3.770788032678022*^9, 3.770788040281501*^9}, { 3.770788404194002*^9, 3.77078840821852*^9}},ExpressionUUID->"809c61c9-1ba6-4e7b-b63a-\ 0ed86b799897"] }, Closed]], Cell[CellGroupData[{ Cell["Hartree-Fock treatment", "Subsection", CellChangeTimes->{{3.770787885186795*^9, 3.770787893499827*^9}},ExpressionUUID->"420a5ce7-27cf-4527-9e92-\ 4daed855756e"], Cell["The RHF energy (paramagnetic state) is ", "Text", CellChangeTimes->{{3.770789474989027*^9, 3.770789486630363*^9}},ExpressionUUID->"557c8ba6-1d1d-4cf7-a468-\ 5e8c31f78047"], Cell[BoxData[ RowBox[{ SubscriptBox["E", "HF"], "\[Equal]", RowBox[{ RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}], "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], "\[CapitalDelta]n"}]}], ")"}], "2"]}]]}]}]], "Input", CellChangeTimes->{{3.770789489201922*^9, 3.77078949380336*^9}, 3.771001311288274*^9},ExpressionUUID->"4542e745-01ed-4ef4-889f-\ c6a0d5a4929d"], Cell["\<\ The equation giving the occupation difference for the RHF case is\ \>", "Text", CellChangeTimes->{{3.770789450190783*^9, 3.770789464345006*^9}, { 3.771054784720263*^9, 3.771054785407435*^9}},ExpressionUUID->"ffd9111f-fa01-4727-a27f-\ ab4f269ba6dc"], Cell[BoxData[ RowBox[{"\[CapitalDelta]n", "\[Equal]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "\[CapitalDelta]v"}], "-", RowBox[{"U", " ", "\[CapitalDelta]n"}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", RowBox[{"\[CapitalDelta]n", "/", "2"}]}]}], ")"}], "2"]}]]]}]], "Input",ExpressionUUID->"a36bfff4-4fe9-42b8-923d-\ de65e596948c"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", "1"}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}], "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], "\[CapitalDelta]n"}]}], ")"}], "2"]}]]}], "/.", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "\[CapitalDelta]v"}], "-", RowBox[{"U", " ", "\[CapitalDelta]n"}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", RowBox[{"\[CapitalDelta]n", "/", "2"}]}]}], ")"}], "2"]}]]]}], ",", "\[CapitalDelta]n"}], "]"}], "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"All", ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10"}], ",", "5"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}]}], "]"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", "1"}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Top"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.770787929775593*^9, 3.7707879772481327`*^9}, { 3.770788738939043*^9, 3.770788782918985*^9}, {3.770788821172515*^9, 3.770788890847322*^9}, {3.770788951660322*^9, 3.770789034255199*^9}, { 3.770789103904619*^9, 3.7707891844838867`*^9}, {3.770789316345889*^9, 3.77078931659569*^9}, {3.77078939220636*^9, 3.770789425072637*^9}, { 3.770789698839904*^9, 3.770789788941246*^9}}, CellLabel->"In[11]:=",ExpressionUUID->"997027d9-afe0-4319-bbe3-96bac538d02b"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwd0Xs41PkeB/DfGFa5hUWOjEvj0sU6uiB26/PLnZWykZrHImRcasOGNiWd 7XGJI3RBe2Iq22lcEieKY3y/So4kYuQ6JosUuZtBS7/fmXM+z/N+3s/r3/fH OPj0DyfkCIKIkuV/fcyl6vVOSRDY36zpDg+jUKFbsAXnUAQcSe87Gykz3dzw q5FROjzd3+B0RWa13JpHSn25oKmyTu+JzA/OpKzyjQrA7I7yuFRmi9nQLJpb BOWfiq66cCnULr5NrfXehfwnZn/lyyz5UOZ58cvvkKDyfo0VTqGTe+NOLRvy Idr0y+5imb8MfTOixC4DcfWAv00Ehf6M8hTNcytgZ23PxLjMPIYofdm5EvoP NLHvRVLI6XWO6VJvFfi0/MslJopCH/NdGyURj+GqTaq390kKZYZ+8V9crYao D4qOjqcoJFwNvz5nWAuJqK7b/zSF4v9jYDVbWQex6vKxl6MppHet+9W0Yz1U rd86J4ih0N1UJlvxDwTF9iuGb89QKEo1KbFdiqHpk7y6IJ5C3cO+LIlzI/y4 afXvRxIo5DAzz2dYPgfhSDzfPZFCHrnjXy3wnsPawWdBTucppH+20Wc+ogmI 0Sc8lSQKYceEudnVFxBC5KV1XaKQ4uCI+bThSzjfG12+6wqF+rAgburjS+js rvM7mynzjNmLT5Wt0NoWXN+eRSGvWK/AScc2UNBv+eejaxRqsKyMbeZ2QNON CVu3Qgp9++9ziTbTHWD/+7oCcx6FrOKPhtjefgNdW3UuSIop9NMbTe6Ccyds 3D/64k8+hYz1rlhJe7sg4mm3eXMNhVbVavjR3wnB5vIFnkkdhcYu3Ts0xxOC 1s79tdcFFKrhJhXORnQDb03syW+iEGfXbvuZ1bfQynGJuyekUB2jOemiUT8s 3KQHhiSy/+dXb3uX2Q/02vRq6WfZHrFrNzPUBuD1wC+F6TSFppjLvnXCAUj7 IJi4u45Ge/Z62aeniqA0TqukgkUjFz/5AXrpHZgxKk9IvqeRIqwPULUchh6W YX+eN42UbO15YSHD8Gb8m8BCPxplXOI6PUgfhvNepVfk/WmUJeEvnuscBm46 rLiG0ohYFnGDS/+A7w4pMZ2SaHSx1cJjR+AoWOcklwxW02jr+JRp6Y1R4BS8 7TAR0Kgr34Fp2jYKjjMjn5ObaGTCPVqvazcGaHe5VayQRlqbNDpzFsfAdvuh juZpGhV3WU93NI9DfZaWHe8vBPbY6Oetkf4Rzuxo8WzcR+CHFemDJy0noaqi 3Sf5OIEnNSczPY5PAvtaZfnKCQKHltX5BBXJLC7z/SWKwEyHXjffwUnwONtd 3h1N4B8i+h4rd36C+rk2512pBLZaKnzgQUzBP+jfBCUZBI4fvTrv6j8N21Wt F7LLCBwm8mIbOs/Bjb6ulDWKwPv2JvonB8xBQdgaz1+egQ96JUbOJsxBHKug uHk9A1vMZIy3lcxBeWP4iQotBs7J93RPU58Hcf+dTuE2Bv7VtF2NHpwH4tZz 7ZCjDKy/S06b/34BNqqx7uvlMXB92QY76c+L8Kx1uuLxUwYm7i7VDWYsgkbP z+6ZDQycL68vai1eBI8tqb+VNDFwy8swA37PIuCqWZfPbxhYNTozLtxeAmcH RWLxBAN/DDcvEzOkcD9oT0Sjvhy+b5sWo7smhRbH9ESHQDlcURb5Vi9nCYaS c4PFKXJYa4NBYULtCmh7MyVlJkz80/uto48ffobt3hxbQSQTKxlfNn+3hyDz zBW6FvMUcJb6q213gpjkDpZZVO2QIg4e9EHMtq/I8WcXKvJTlHDMi8vBp82V SL1O5ZDv3VVxZbTKYV13VZKciGAfXNqAodBOettenZSrqtCxCdLAKR5QIzqq TjoV/Zjde04DbzkQlSrwVyd3G4X1HE7SwH8rWvOWTGmQ2Wcu9cmPa+IGa8Mc 6bIGKVbhuGnOaWJCOEzWn/ua9Jm1Ugvy1sKew97bmtja5Kmq2JXWAW2snmH7 qsdcmwzgVKlki7XxdV+Hka+9tcnJA+xIAwUd3BIXoFh6TJt8ZFQnNFfVwWPS vCPKAh2yum22g3dsI/Z4H3khN0aXFCjk+F2X6mKvseztBgZ6ZNaIrtpKph6e fB6c3FK+iTTlud1iKetjS40elmMgi9TRPGzNK2VhJZAeFy0akK5Rwmm5nYbY dZqzvNnXiCx5WJXvdMoI9z0LZXAsjMnXIqx2eJ8xrk5rCjCSGpO+QVvshhib cZhC3HB7+2Zy2O/bGU7PZhwSm1itcotN7lfMrTe7zcZmhhGdsxSbJP5/Jvi/ QY91TQ== "]]}, Annotation[#, "Charting`Private`Tag$1761#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwd0Xk41PseB/BhirLOWEqMYSxHJDmObsnR5/eQlFsOsqUee4a2I/sxp1XH EimSpnuzlm4TkcK9afn+HGuILAdFmbKccqzNDN+Zsdy59/M87+f9vP59f1gh P3sek6dQKDGy/K8tknfz37EMQRM/umlCwWgy8sPnJ7xfQKjOXlWQebX5VbKh YTqsOKODujKr5dQ+VhrMgYDeK1b2Mj+ITZHyDG8Dw2XWPlJmy9mwrFV2IWRV Fobek7nzY/7K0kAJlPlV/ntKZuGf5QfOL5dCztaiYEc5jE46xJ1aNOBBgESj 557Myx+2flYyLofMsuI1NHmMJCcODM+zK+FbTFxytsxFcsPpi85VUM7bnKtH xWjPm2zThYEnEKHx9vUTmb9wXeqFkdXQMKhj4rsGo8yw5aMCaQ34iR6UrFuL Ua80InfO4BnkMTSVbyhgFN/CtJ6tqoMFI23hCUWMdG/0tU87vQDrxIpVj3UY laRSjRU/IcgPdOflKWF0QvUcp1NEwkOfiu4lZYz6+N76Qud6qK58dvaUCkaO M/M8OasGWKmO6TukjpFrzoTCt6IG2K+SNaVMw4iRWO81H9kI9SNd2J+OEemU MDcrbQKbFqUIQy2MFIc+m00bvAZG0tWMfboYDZIv46a+vAZ+osshgZ7MM981 /VXVBmFNQTZl+hi5RbsFTjp1AAf32DiyMHplVRXdzO6Cn7QKO1XMMbJ/nsT5 23QXVB0xzT1lgZF1vF/ojvy3YH74ovbCVoxOv9Vgf3PuBrvQVDrve4xYules RQM9wG/f0Kdtj5FUrZYX9WMvXKj7EJ/tgNHYxbvuc0W9sEld206XwKiWfa5g NrIPvITiZk9njPx/sN01I/0DPLpt+YHuGNXJNZ87b/gOohLj06cjZP/n1liM ZL6D8JdHrnJOyvaIXsrLUHsPA+ube3qiMJqiLnrX9b4Hpird4VoCRjsd3Hal pw5DeFCT2+ZUjPb6rnm/ujACDzqaGy7xZHvB+gBVKz5MCCKZ1Y8wUtqxqyg8 lA9JZWZZ255glHGRvedBOh8uHD75LK4GoywhT5DUzQcVobv1necYURaH2SFl n8DmmH4d7sTofJul6/eBo2B5t8jgHMbIfGLKtOzmKAjXcqvnlzHq4TpSTTtG 4aR3IyOWKkYmbL8XOnZjsG3Kyq9UTYy09Ojd2YIx8DScmA8zEqN7Pdunu5on IPmp790SHzFy3ejrQU//AvHMsqKuLDGqqEwfOmk1Ce154cXBDWI0qTGZ6Ro8 CQbSpz6WbWIUVl7nFVQ4CaH3x6TpPWJEdRzY5z00CXmKVeaP34uRZ+RgtXL3 X7DXiFnTuCRG1gsFD1wpU1DQn2/PpUpQ/Oi1eZej08DxDS0Y2S5B4cNuxgbO c+DW5ny+tFqCdjtwjl4ImIOqm0EfBC8k6Cc3zvHZhDlY3SB55dkkQZYzGRMd D+fAorbN2rZfgrK5B/an0eZhimnnmoIlKNm0U211aB42aa3vDQEpYvwgr80b /wYliTdGC4ul6EW5up0oRgAWl7eeduyXIkrJQt1QhgBKIi37YkekiLuGMdx2 TwAzdUXyOl+lqPV1OJPXLwAN5eAt55ekSDUqMy5ilxBa71b8vdt4CX2JMCv/ KCeCM90ttxJjl9D9HWlndJZEYGHLE5V+XEKV5cf/0M1egDy5I+6j+stIS51Z kPAMQ2Ltcedr+ivo9Lj5aHWFGOJTh95oXFtB/IB36+pfi+Gb0481+++soEOD aVZvxsRQ6x63msFbQTvb//xlXFcCHO6dIpvGFUStKqVtSJXAlfFjnoqSFcT9 lbU7IVAKXVPWHq3sVVSvuem2HW0Z8h1s7jw3pZBKrMtmIzspBOJkf5LqyJFZ tHaL4iAqMWRy2/s7OpUMGfJC1A4FgiNlmChFryXPNF0O+dlMibh3kNFXLFEk q6JUDunsVyWKNhtMpHGUSCiwE+XvohFBb6x35rJUyRRXqB32oxG7bz0u3+al Sm4+eCL15VEa8XzjYdtP/qrkpcIlD+EUnVC7+R9GjwKNfLXdIFu0SCcWY6zZ V2k0ktLLJ14kaRIdc0laueF08gDfw6LRWJsgzyb8OjauQdIydrT3m2kT3rYD Lde/apC53o6fNT20ib7Y4qdu6ppka1yAYtlhbaK13tZp60ZNckx0y0f55Qbi TNfF354d1SJdx4+fzTmjQ4T0/XPs/rw26TZ2fQuTqUuopgRyvZM3kpMNIRda H+kRPvfrAuWWdUgrer++U6A+wW+jl7Jv65JKIAoeFjCJIGp19W8MBuky7b9o 5G1IfIyKa5H/XZ8c/D1Mzt+SRYTEfPW9HmxA1qQ1BhiKWIRcQ/65fTGGZPja OH5npxHRYe+5p20viwyN5tSo/MOYeJiid7tFxYjcxt7SeSDYhFDbtP3SwS4j skvDUjnOzpRY86/H/qjEmGQ5myoXck0Jyv/PhPwv+9K15A== "]]}, Annotation[#, "Charting`Private`Tag$1761#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwd0Xs81PkaB/AZpDBE0rrPDKGE2q3cSs+vpIukJVQ4RDIp3SxpU4hyiQqH bTbHJZuOKWWnMoT6/iwpl1zLJVONW0mG78wY5LJ2znler+f1vN7/fV6fhxl4 2v2oHIVCiZLt/655/BZBD5MBlqGEDoWC0UjIh/7HnF9hNvI6LJJ5oe5FPIOR DO3JbhWaMqtl8P5U7s4A//viQAuZi8ITZjmM36G9ebnQVWaL8aAbC6w8uG2k tCdK5uaPOX/PdRVA1ubQa1yZJ74Uu8TMF8JN5tkGkcyhDhEnp+gc2HH+j7xN VIzmP1j2KxsXw4vNfymmyjxzwoUvYpXA/MeHZkKZ86n85CknLggC0ngechht f5NuMtn1GJqcvjDrZB5m76yeCHkK+u7skK3yGKUGzftKZkshVjHxep3MHbPH MjH9GXAW8kLGFDA698pw3Ti3ArZ/uMpMX4SR7r/fNgodqyA7k1HqoIhRQaK8 8eI+BJePsj1FizE6oRod1SwlYWLZdtrfSzB6K/A0mHCqhgmeT5a7EkbbxkQc qlUN8OhkZowKRs4ZnxXF+TUQ5z9apkTDSP98tYcopBbSvrQZLVLFiHSMxOOz L+Fg7P4EnaUYLe7tNxPS6+HaeqdL5ZoYdZPPI0aH64GS/6p7ernMY6Yvv3Eb IDzpLM1xBUauYa7+I45N4DE9NTOhjdELK25YHasFBk7vedRsiNGmygtR1sIW oLAGsrvoGK07d/CITU4rcD8qjkcbYXSqdRlL7NQGq2w77HeYYMTUvbZO2tUO W3hbBrwtMJpV43HObO6A+NjgK7ZWGA1e/uNnnN8Bbz3KVRjrMOKxonPHQ96C 3PVLN2kbMPJev8F+bPYdyEXf8/PZjFEFtS46htEDa5IdPDpcZf9nl5p/Su2B A+HJjFg3WR9hc7+lqL2HgsaiS7UeGI3KT3lWdLwHfnLd5c5DGNk6uNonJ/Ih pZe7O+soRjsOKLxfmPwEZ7I1n5yPkfUFSn6qVgLwaflJtSAOI2Ub+/zgIwIw 7dx7RD4Bo5TLrO1FyQIoj+rPi0rC6MYER3KhTQC0fV+30a9jRJniswIf9EHR nUleZTZGMQ0Wzj/6D0AP79M77UqMVn8eNXmQNQBlpVYNNgijdvY2eZOmAWjd a2oUWIPRStbBKm27QUi0VpjubsRouZ5GW7pkEO79ZuPe8B6ju+0bhS11n4FW d93JV06EnH844KaRPAzRIGhVsBShRyXJvaFWIyDgDEdiDxEaWTaS6hwwAoeU rS31vEUoqLjC43DeCMTZjPeePyxC8tu6dnn2joDLvwZRcbAIuYd0P1Vp+waV DR0ld2JFaN1kbpEzZRQQpeBi51UROjdwU7TTVwjBjF02a4tFKJjvakx3wrCk cD7eVFWMtjhE+cb6YTja5+11RVOM9rlGHR+PxGCvz3UY1xEji7GUz033MYSc tnzSZypG6WyX3UnqIphyL2m02ypG8SbNagu9IvB6p9n3NFKM9NfLaXGGxLB9 l9qp6Boxqipeaif9RQK1tyrKdUbFsliTFb0pEqBv6LhqLREjtoI+v+GuBBRT BXoPZsTodX2wIadTAlqtc74lShKkeiY14pj9BDyUmA2tXCVBw8fMij9SpSDO vOVSFSxB92ySzmrPSSGD9nk27JkElRQff6ebPgmdfeli3ogELV9qmBv5bBp2 PT6TFv9kAp0aWj3w9NF3iOk97H6fJkUCv54l1fXfoV5ad1L3Byna351k9Wbw O7AftmRlMqXItvHLr0O6MxB624vyX2spkucWqq9InAF347gxxwApYl9kbon0 nwUX7/J8n3IpqtbU+d1OfR6aP8X6Ck9OImXmFbNPthSif28t+iqdQnfDDX4M cKIQOrpi7zfUaZRwMNfGwJ1C/HTAfyVWnUZyaeU7fU5QCLrzoucrTKfRzN+j rK4cCuHJPLG21msafeN7FrXIUYlat+ysnGfT6OLNuTmyiUqc4xjwra9+RzfU G83vHJYnBq/sr/ZYP4sCez2QfJMiwUuNLR6yW0BnX14JPG2mTGgG0PXT2qgk 9wxtv/ZuVUJIvzh0TFWBhFw7aY69OrGpTqs9I1KRTHAGHv+gOrG8bJxfU6hI rtp7IvG5rzph2FeaM/NAkYzLm3ObGNUgqrwK+7daKpEvNtLTpVMaxIabdy9l gRJJ6RAQVRc0iQuSWps/a1RIF4Gbea2xFqE81KqumqtGqqfYNHaaaREFrUFc WqEamem5rV/TTYsYipSfYwvVyNcRfosfHNIi7jzPSK2cUyMHpbe8VJ6vIMr+ E6N7skyddB46finjrDZxOByLn8Ay0nUwbY2hoS6x9H7YwupXmuRITWDs64d6 RM/gvak+Wy3SSqPTwNHfgAjc95VBa15BKoM0gC8xJIKIWXx+jza5U+g9ZeTJ IHrjOUMV33TI7r+CqN4WTKIzQa3rW4IeWZpU68eQMgkf8zfaoUsMyOBFEYLm ZiPCYmPZW9NiQ/JIWFQp7bYxcVuFnl+pyyDXstY0uwSsJDSCqtl6fAbZssxC JcLOhOBaUL+EP2KSlY/isi3kTYn79fsUbH8xIqOo5j83fTAlejtNhSO7jEmH HL3hF2wzgvL/WUn+A+lO+1w= "]]}, Annotation[#, "Charting`Private`Tag$1761#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0X1Q03UABvARJBcEJx6nhObmIUE01ihzZuJjyFDQBhKcy0NBJecETTgF ZeZLKgxBjGE2LXEH1DHkEkxRkQgiYCjKqwLbj993vEhrg72wCepAWn8899zn 3+dZtuub2K/fYDAYEY7830Gn12oHlrFwgL2xZW6OQC8eHL6pPIqs82862Rye a6k/zWLlgpUo0nU77CmrqXLrl+Hg8Ld5VxwuP5RtV7IuI6WpVb7JYbYpuWBO dA2qO8c+HHtN8Ji++nqmrwSirlTuPodt/1RuPjH7C3hB3Li+WYLU0MP7p5lK KFiR33Mcnh0MHnbzq8SttrOtGTMEr1I2UxbRDUgNL/+S2wkUTlTuNL8aQn6m e+UrgvBHhf5TfTcRw2tWlb8k0Mk3NNrEtyA3G18VvCDIT55NsNpvQ3iZUbJj mqDHvveimXkPUp5XdK2NIKN1KddUXQv5tuD4CCuBb1Hvw4n1dShXpXTetxCU 5Dj7uQ79CXFpgqFvgiDF47jk8fMGCDJSLqUZCHq18e/a+I1IOsKMrdIThBkt SidOE7IP8dU1zwiiZGPzJhVN2HvU4iIZJVhypDHOIv4b0vYXH6wZJmhYn2k2 2ZvR+aROkzVI4KoZDphgtsF8xrP5326C/oY/Do/r2iAMTAnw6HTY+F6zofoB dgWLGb6PCATpgkT9+nbMF1kWmlsI6jnV6S2iDpRdH9tTcI/gs/tZkpUTHZhn FCVx7xBwM4S7eVc70cwcFi6tJjjQuUA0ye+C6u6xhU0VBMt8z3Gf93WjTBNU ceEKgd2zRnlwTQ902+nbUZcIRk+VxpgVPdibFO5hKiSoER0vNol74cPnB9qk BNs+XrHaaH8Cxt1ib/NhglqnluMnWAMIi0z78ddNjv/lt4NI/gBUAfdXZvMd e6TPXMrzVEOmUOe5rSUYd56Or+1RI6bbwNv/EcGqUMHq3BwKqrRozplFBBFb XdRzUwQqm2cOm6Lhird2eHC0CIw8oBjvpeHGW63Ys1sLQ+OLYPYjGnmnROHl uVoc2n528XetNApsSmtWlxYNkoscuo4GY5oS7bo+hBUB+UT4E40TD9hRIYkj kNpkxq++pPH+2Lj/9R9GcPKhLGQkkka3PMzZv30Eq2YPuseuo7FcJKzz+XQU 81/2Z2vZNLwXe3UVWkfBuuciOOdGo6z7k4mOljFI1pmGzt8YRNSirVu8cnVY kmyVxXwxiN9u5GpSOXrcvViXuNNCQb9Anx+1U4+GZulQ5jMKyZW1cUnX9GAX Rbs+eErBOaxvY7xGj5DUBKtERSFW3H/LvcsA+8/14/J8Ctyp4vIoxjimwssF RScpZIxcsGxImIBuC9PPNZDCHkrgx+SboXdN9b6zQYO1oZKEkzvM0J3ldU6v 0iBaINlnyjRjpspU/E6QBmxj3lh7hRmlblqrz9saFMo3R0rnW9BgVz516VDj tP9jzzmNBVWLP/cpilEjx0PYFtE+CYY4IPrZ7wP4D6z5V0g= "]], LineBox[CompressedData[" 1:eJwBUQOu/CFib1JlAgAAADQAAAACAAAAHSO5j6LT+D8I914wUwjVP+Be2QjB yfk/sFboCoYr1D9T2IguzeT5P6AzMz7BEtQ/OMvneeUa+j8Y/y4d6+DTPwOx pRAWh/o/QPMO4gx80z+YfCE+d1/7P6CH/baJrdI/wRMZmTkQ/T9ArGRbcv3Q PwohhCffOABAsPhCT6aiyj+kdB0xYUUAQEQoLzNOaco/hlieNx1SAEDQpU9y wC7KPwKQuEdbawBA4NEMdiu6yT/6/uxn150AQKAvinn0zsg/69xVqM8CAUCg mQrvVPDGP3yP/PzAzAFAMN5qu18Swz+OEMsqoWADQGCkKePOqLU/YttUvwPM BkAAL3KnZKqyv3HFhGJvJwpAxG2qQhAQ0L+xcAxTGEkNQBCXsz1W/tu/P545 9Z06EEDWfEL2863kv4ZKP7bcWBBArM/tuxku5b8oTWuHvVwQQBWKwNbxP+W/ gp/8UfTsEUA4cedMinHsv741H5H19xFA3UEkthGo7L8A0+BAvHoTQMmLQ+9E EvK/TOBRKsQjFUBLNH6pPHj2vxCLN8vWJxVA5PDyuwaD9r+UVULiE1EVQOTM A2KB9va/yHVeB6tZFUCnkpvvpA73v+T1l1YLvRZAI8IMiT71+r9K5Wp9knEY QC/4p+5YAADATuSQKx4eGkARnTTT9ZcCwOrDYoDIrRtABVcMt4gaBcAuEdYd Q18dQK/UEtc/6gfACj/1YdzzHkDQP5Ufr5wKwEftWvciVSBA0lFE4lKaDcDY wmQBWiwhQP2Gv1uRTBDAtYjEXiD1IUDVtl2w+bcRwGYFdeDOziJAwcY3y0RH E8Bjcnu1DJojQMoS4htIwBTAL2crzkxhJECjary0PDUWwM8SLAt1OSVAGJBr qAbNF8C7roKbLAMmQOoYknsgTBnAewEqUMzdJkDPBEf/te0awArcekhutCdA 14O7w7qJHMDlpiGUn3woQKMQLjCcCx7AlCgZBLlVKUBfYMyVkq8fwJCaZsdh ICpAx1C/eWmcIMBalF3ODOcqQK+1HcOqXSHA+ESl+Z++K0Bwm//Z3C8iwOPl QnjChyxAKdMCimP0IsCiPTEbzWEtQFps+HnUySPACISyDgyZLUAAAAAAAAAk wIRrhlA= "]], LineBox[{{1.191565343157371, 0.39878488150615715`}, { 1.2045888267255784`, 0.39654764420048677`}, {1.2277325246834945`, 0.39257190727945135`}, {1.239907377963947, 0.3904355873365346}, { 1.2642597762815087`, 0.3860998028763036}, {1.3129564976466614`, 0.377179272101102}, {1.4107401179888055`, 0.35825959258702766`}, { 1.4164427505305075`, 0.35711494463689375`}, {1.4225301771707337`, 0.3558878608797813}, {1.4344941351914176`, 0.35346088174630497`}, { 1.4480021488237615`, 0.3506863878022179}, {1.459616828385415, 0.3482978884958381}, {1.4630990093043108`, 0.34756476518996804`}, { 1.507756861303157, 0.33816269423128087`}, {1.5389136004840542`, 0.3314289679361315}}]}, Annotation[#, "Charting`Private`Tag$1761#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Hs4FHgXB/CZYedXNr1od7vaYV8ia5Xddost57wrLFGu8UbaPAmRWoQi lN5k6UIIm8xKbwm5ZZ6SXCoybrmteyiXNMSMGSZmZH/9cZ7zfP4953yPpsdx e08Wg8HwpvWp60WbDPVoakBCar1saYmgwOfVm+KcU/A/1VUan7xUWxGtoREL Y5EWPDn1ykReoVJ3Injd+Tb9A/XdoAuyHI00sOKGds9Q608fvrzklQmRM0GB E9TNAxkf5V1ZMPF9r/cbasnbPOvIxdswtjGwpIvab+fJY1JODlyz3ujZQF3S MZQtMc0DUxdlvyfUC77W/SKvAtAd4jTnU3OZ/bFSsyKIYLvH3aDe1ZSgPddV DGtFL27FUo+nWlRLfB6AH//A6pPU8YcX3cSyUogo54y5U7fLvJOEnEfw1SPd 5O+og198vWW6qAx4BidOqlGvu9bR8N60HGyujxTOfiSYFaPwb/K6EioSUS2f 2lc5Iqx5tgpYsxbmUdQdQ07qErNq4PaGGwRQ/zIlymEaPIMAuxm7L6mtEsfY M9xnMH7mC6uPiwQ3hFY7inyeg3ncgnsHdZVpiHBaVgNhSvvSw6hJ3xud9xw+ mMQ5OfPkBLurnpycHOdDQ1aCIOqTpzbWTBTVw2L/Urcl9Z6APQcFpo0g3R3y olNGMGV5Wcpbr5ewJOwR9C8QfBBiFRC4pgX08h86p1PfEGxbKw5vgW82NXP2 Ufu3qHnNmLVCXllmdd08Qc11f2yZ7WoD3ljGr+kfCMpW8nJO7GiHs95JiVbU I2dv2Qq57eCvHrx1XkqQ5xVxc9qnAxwapmPtqPf/sNV4SvY37MpqCZuaJVjG rI2I1OgB86f5g90zdP+ppXqD8T1wIOlS6BHqDQHylLiVvZC7q+pxr4jgpILU qay9F3zUzncxqbfv3GMcG9MPlVN1uz+fJnjmtcaVHbxB2Hlqy+blEwRvPf3z tLLBEISqayVvFhD8eWOScczhIXh393H5n+8IXpbkiE+3DkHnvD76jxPcmvC3 p0fua3AdLVgnHyUYWa9vZXhwGFqTMjmPhwhuGpvUzk0ehpjBgb1K1G2pvyho Nw6DuntLgvMgQS0vl/I1RiMgejFqNfmK4BfrVVsTxCPA3eDKO9pHMLvtx/cv a8cgvmz+99oOuv/VznaqseOga2+6Pr2J4P2C2D4/AwFENxtxh2tp3tQE8VaH BPADS1GgSH3ZVFn5eZAAxKXJjIIagkKuwxVj1gQI7fXvbH9GMJEff2R/zQSk VC+2VVTS+x2+IrJwew+coCxXg4cEMz9viFY1E0LwKklk/R2CJjvD3KLchXBA Z7m09P8EDe8fay8OFcKj/xyyvX6b4Jq2uLHGe0Kol5SY+d8imJBqbXlRRQT2 i9Na0psEo7WbVy71iUBXyff7h8kEvaA1bTJADOvDNt+QniXIyJor64sTgzlr N78kimCq4ob++mwx1PBZ//WPJFjHP/J1TqcYjHfbcwfCCeo6yrM8jSUgwKrm 3BCaV2+dvAHmLEy6HMj/4EfwaOKZiparc6B1LfaC2z6CrNmswcqcOSiaGlgx 6kgw3bmOUfB0DlK1DOd8Heg/2raXUyieA5ZD8epztgSf1qy3UfxWCnpG/bbf 2RDUOPfqX7oeUjB8x/6jy5KgvWXEHu1oKXiUzCw2WRAMUjRgXdX8AHeY98I+ M6F5GN00/OD+PKSo7XWz0SI45N6zrJo/D0eeGSlEfEPQofuiQdPIPCQdvfc8 T4PeZ8PbU6PrFmCmcMt1RXWCCkW3Vb6KWYCgbuewjC/pPMI1TUIOysCjzXlX EJtg9aq1aUYqi+C4/4S8dIyNSprndQa3M9DdY4dh3F9szA5SNzxkxsBt2cFp /plsvOByc5u6PQMvLmtMMM9gI+vqQwtXXwbWvuG7ylLZuPBx0qsrg4Fy70J9 u6tsnOh3uvuSxcTcZWm1+RFsDL8il1c1MtG2wrlTbz8bL6s06P31mwJyy2ce /LSCjR59jpUKjWxkHnzc9Mj6M/y95rzHcR0lfKuaWd0doIhFJ1Y4rLFUxtOB 7ueVLykg3DSazTBWwV85BRKXWBYaTf0W1bdXBR2Dm1ovhLFQ18Y35ombCiYF eHdqBbLwXKbcTjKpinXH7x0tdmHiCqmg7JhIFS+NNG72dGLiP2lVIek= "]], LineBox[{{4.498525251835517, 2.161981989158206}, {5.272131143113654, 1.851223221396275}, {5.2920932793337165`, 1.843179536806098}, { 5.331192688138356, 1.8261864598186284`}}], LineBox[CompressedData[" 1:eJwB0QIu/SFib1JlAgAAACwAAAACAAAAcWd52TNgFUAWQpXgPiH9P0rlan2S cRhA/Ed6NBNm9z9O5JArHh4aQJx2qGpm9/M/6sNigMitG0DGo5afNJPwPy4R 1h1DXx1AiOjCqali6T8KP/Vh3PMeQCxtAmw9w+E/R+1a9yJVIECoazy67DTS P9jCZAFaLCFAAPTfqC2xej+1iMReIPUhQIie0B0L3NC/ZgV14M7OIkAYrtlm PCfiv2Nye7UMmiNAvKY4o9uN678vZyvOTGEkQMLtNDyBh/K/zxIsC3U5JUB9 3Rw4cdb3v7uugpssAyZAOEYn/SPt/L97ASpQzN0mQEb4W4IISgHACtx6SG60 J0COegKFoyAEwOWmIZSffChAGMm0drPTBsCUKBkEuVUpQIptN8dNzgnAkJpm x2EgKkDAJB78T6EMwFqUXc4M5ypAlPyksWRvD8D4RKX5n74rQLhb0KnqQRHA 4+VCeMKHLECFR3Jpj7USwKI9MRvNYS1AlTk3CxlMFMCthXURZy0uQEr5VOu2 yhXAh1VjSwP1LkC4mqwlSkQXwDXcoamHzS9ATRTvyD/gGMCYKZutzUswQObm EfO0YhrAf8CNmEu5MEDJuv0uXwccwE0bVaXKJDFAhaEh0AamHcBBbsdbEYkx QNn19nkgKh/AnxxiJMz1MUCDD+7eF2ggwCTDp5ZOWzJAGXtlBKAtIcCQLcIq 0r4yQLFlcJqz7yHAZvME0ckqM0DW9kfEsMIiwGKx8iCJjzNApFK1UO2HI8Bs glP8SpEzQDlKoL1eiyPAdVO01wyTM0DRBKww0I4jwIj1dY6QljNAzQ0aKbOV I8CuOfn7l50zQO7b/mJ5oyPA+cH/1qarM0BFf2T4Br8jwJDSDI3ExzNAkgDC lSb2I8Cao21ohskzQDX7OcGY+SPAo3TOQ0jLM0CLTnjyCv0jwKwXaUvKzDNA AAAAAAAAJMBT00n5 "]]}, Annotation[#, "Charting`Private`Tag$1761#5"]& ], {}}, {{}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}}, {{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}}}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVx3k41FsDwPEZKtdWURclZhJDQ8LRTcI5RZukRUq4LcK0yEWkKG1iPFS2 NCnJWpJ9eUtyDpFsY2tRpqgJ3SmFMWTpN9f7x/f5Pp+lHv/s8pKh0WgxM/3/ KWEec0w9b9tcVdExT/ejcG0n02Ev8wzMl3ho585Y+qLqMpMZBQ1twgR1M54b X16o0BUPW1bv8B2ZcQq5ypjNvAVzDqd0mvhT2Oin5zUpJxX6nlZVujjjD3Pv UtNv0yHb005dOGPdbPm/JqeyYKZj4eieAAr7WAedGGfkQMadpxmCGZe86s0c tX0Eq4dKlgWepPDkcQfBMKcAupq3ntQKpPA9uiBqfEMRbEwyTOiasV1LnN7Y 22LYndh6ISuIwl95m6pHj5bC1N85a8NPUTjG87e7eKoMuvyKqwkMpnDn1JHE IcYTeIDpvzL6DIVP1Wub/CyqgNpx91SLQii8OOFV06BtJaSWO1Z+DaWwBxvJ fuNg2H4pzv1qGIVlpkJaR88SyA/I2D55nsKvep21RjdUQxfKUObMRQqffqT4 ZORtDeQo8lJywylsH98/Z+Teczj10erSgQgKLzldvXv4aC2Mle/W0uNSmNgG D/2cqoP2VRF+fdEUluv+rD/IaIBOkywry0QKd5FnQd+/NsB9kbVxoUkUfpjN e/6tqBG+61WM4vMo7BjgeEBk2wzP0G125KRQOEm+ImmA0wqNNjb0mT6gcGmw fcBJjTaovvjHoPQhhe+IVi8Sn22Dq9Lw2Z48Cvu2qXJGNrRDB7f1jM4SCqve eSkz/LYD5h8Q/RFDKDw1tzzHz6oT2u017+p7TuEvFzN2DN3rhIpLspR31lO4 nBN29+fRV5A8WXLLjU9hV2Bu+WPqNVwlflCIPlA4rTHV/xvjHTxmkXJ9I0Xh UV4ZuyfmHbwuH5G9UFaKN3KahB0T7+Caloq2MTkp/i477lzR+R4af7i/blxF ii2sHS2jIgVwz2P5mgGWFLcVTMvo/+yBln9vs7+wW4pVofx+ZeNeWCt+Pxjt KsVrWYmWkZ698OqrXctyD0rxtdEccUh7LzxmbcHUPSHF5nGvvTxyP0GJGctD GiHF5xuN7E0PCGF5mdWzXVVS/KDof6zcG0Los71KK6FOijt462X1moVw7ZG0 U/3NUqzLcanUWPMFMhimX+u6pbhRNtyYtqAPhnFjM70npVjNulu19UU/TLz1 WD5Bi0byC6K6fYxF8Pht106WF42IVEUx9odE8PxDi+zkozSif8rexiBRBA2i nRlqvjRyz0oxTTghgq1jGkPLgmkkviHG27XuG1zf63YuOYpGTgmvD29yH4Rt OrS6HwU0kqrYdFllwxAc+N5kPE+GTmysQ90v7B+C1ZVtxSfk6ETga7jqZ/AQ LH44z7xTiU40OqL7mx8OwX43J40SdTqJ4zls4c4fhgwFA37dCjq5rMefK+0e hsmfF2iaudEJB7bf+h4ghj0vd+6TVtAJLX2sojtaDNX0p3gLqumEN2uJoDFT DLdaFPWtqKeTlw3e2jlvxFDHZ3VcYCedGOyeTveyHIWRFsdStnynk69H9B99 pEtgR9OcEWWGDDkWf66qLXYMpoeGSN5zZYhv33Jhaf4EvLlNJcDbR5YoLA3X 77GgIbjNYbaEN5tcm9/ETjsoi2yby8tdPsoRj+7dWLZ5DnrhXunwK0KB+NeF e/yjr4C4JV8DI7YokyI/JSeNLcrIp78nJ2hsHkkLPS4y2TsfZSdYXvM4o0Iu pU7vHP2ugrgvNB2U+1UJrbMXVYYsQDaR6r+8di4krEDv07vZf6Iwv53en3v/ JF8kN/coPlNDrAKDhox96sS+79i5eH8NxB1rD0mSaBDHL7GG2tqL0ZbY4XsT MYuJ6LnHhZd5mmhtsHeLtuISYqzyRsv2gBbafitQKy1XiyhAySGBWBsdxvx0 WTMG2TToOq7jzERa8x98tDvBJF01nnRXo6XIzu/xBiebpaSMW7ufKVmKanOD vT7QdYj37KBePl8H7WvMVHF7o0MOB4SWKSUvQ2dect+xUpaRlRxDvsMhXeRu 62R/8KAuaVU1Ugxao4d6Nt+XO2+uR57mX7ptJMtCU3Jeck8m9Ugonb2j+QML DeJvDq/bWURBELLZt1QfhWsaDazP0id92UsTU88aoPBUV8+cYwYk0WDRrCfO y5F1YcP2QbScxCZ71x9istHt1VZsTXk2cU38m680wEY1Dgbi0BY2+WWXNZFa ZYg0A2/QHqcbEmHf+tM1kUao/Ir2vqajRiTd2lSz5dAKFFg/vrti3QqSdyVI hbPCGG2y4gqCFY1JpPPhrbISYzSiPpu4tBuTVYK0nMiWlWi4tI+/8MFKwlt+ O69lqwlSWh4t3WJhQs6Tq7ytT0zQ1jhexHimCdmm6ZzVqGuK1ilf0iydZ0rW +da7qUSZovdzs9q3nTQlqUs8dJslpujOnb+uOfeYEt3n95Mc3czQ9bEQZws7 MxK7oobdUWWG8v6NFevdNyPe4lntDWyAskyXNV1UBcSjaIQZdR0gvSb1xrJT gPhccpq2jwNoh4RlF3QakCCn0rdKCQA9qsmoMg8BhCsJuhabBNAf7X2lJecA yV8zMXUzBSBhODe7KByQiWrpm+xcgNwLje/mxQMS26F0tbYeIDk/8DErH5Dk jBNHIhoASkqv8vIqBCQjkG+7uQkgf0HJoG4xIOVqsZNNfICsJd1URhkgAtcF RzpfA5Rwn8FKrwREX7jI9rMQIOUEd+7dRkBMSkO0M/sAslMLVdvfDIjlle4J rwGApj/Rs7T4gDjopxT+KwIo8sum53faAQk4ztQeHgYoL6F41u0uQM5aXZwo FgNk6DI/yfU9IFeUP78KlADEiXqtv1gACK8gI/rXL4B+195wuNUDSPqFWZyK SYDe8WJ7XD4BkrvTa/3ZaYDCfEYCNISAlOq80LKhAKrVfTqn6wsgVWLWhFQK UHy2KPlmPyD/ASzWdWM= "]]}, Annotation[#, "Charting`Private`Tag$1937#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVz3s41GkfBnBMlFNrWDnlLMOQw/zawuJ5NpVWcSmpd62I1YyWbImyDq2U UysJaWwHx1jnaGrLG8+DUo45lRwqGdRKDEP8ZoZ55/3je93X57ruP+6vYeBv B4/LSElJZUru/3n7fKCcbdBN57hh/y490Qp62m+w/4jB7+DU+Q+FJhKLWxsv GhikgqRhKePtEm/MfHhP4U0mmIhvdPeS+Da+oi9rkAsag3SMYyW2nAtKF7Py QNeQZtE9id9uvLMmGiwEaVmPungSm5TIbxcI74KdxaJCx9UVFOoUeXJZvwx0 xnw0ypb4/sBY8aJLJXCainFfllgQsn90nlUDtik0GDHXVlC+9Gjq8u5aoMKq LhyTeFfXtS1fB+vAcJ9XF1O8gj6xXZsWT3DA+qjawhWJ04JWffnCB0DU12GU I0WifmFwNk//MVDe4ma8KE2is8/1bOZq68He64+KODIk0s4a6Pji8gRQS1e6 4ykkCqRDymcWAkezZE0dZUkkI4x+uRiLQeDKuwMWciQaGPPWXdzdBAYUi8xM 15MoqlLx8cJgM6i5ITfoLE8it8wpuYX8FtBuzqn2VSDR5qimQ/MnnoLZrGDb JEUSYZdzvDnhM3A1h2InUibR+pFx2hf9NhCr89otQo1Eb3BD5MynNpBicyVm 7lsSlZewWz7XtoPOyuQjZzeRyCPcw3/apRP4dgdRS7VIlCNfn/OR9RIcJi5f yTYgEeecW/gZzR4w5krTOmlEolvTO7T4sT1AMwJ4HjAhUViPKmthdy9o3buC Hc1IpHrrhcz8YB/o0dKqyrMhkXDjw7JTjv1Ab6Pe9VcMEk1cKPLk5fcDpdwm M43vSPSQdf7O3IkBsMtv5mCDPYl8iG0Os8JX4JjLeN11FxIVtOed/qw/BPbW bc87+xOJFtkP6O/ThoBnhYdGqS+J9rA6uH3kEIg7H7ln0p9EM5Rl7/r+YVC3 o7ztMpNEdk4eDqnJo0Dtp6MB0REk6qkRydDm3oNfdm178jlTshfI+ylbjQHY cp+9nEOi702zHZKDxkC7M51OvUmi9MUyfnTvGOh/ohVysohE2669Oh5Y8QGU NOr5tXNI9Ee7pZutPxc82u7cqj5Mor9r/zGtuM4F5brsHtE7EvWxd1K2dHLB sTOtl+e5JDJh/eeJpv0ECLbrVFo3S6J2yiUrKbVJYNVWZd8lI0CbnEZUX7ZO gbfLhx/NWQlQdU3qSKjVNJg4Umx36poATatOp7kFTINTtMTTN28IEO2sm7NZ 9jQwtU6/2HdbgPIdFQu45DQQPNthHVQuQJltaUyfZ5+Bxw/JKepPBegs9+q8 q+8XQDNWcK8hBShPseMidTcPdOWGWTw8KUTOTjG+8X48IPe8eIdPpBCNhll8 N3eOB5hT3gvycUKk2ffnVGc5D9zjqoempQnRNfb+H1NU5gFPZ9FJt1KILm7p 3igemQetFcfKQ78IEQv05s6E80FzeEv2/SgRkir8Wj/yJx8MKS/X37wgQux1 m0fbi/nAejRwMP2yCL1oY+qVveaD3OU7n67fEiGzQ6LC4w6LwJhqZUxrEqFP wbTKd9JLwFHlTLaX0ir6NTOusSfjK9Bw3YFQ+SoKmzTncqpJ0FlS1kpbL0Zj fkMbmtpI0Kbv+rBGTYy83qRYdU2QoCCYl+RiIEZ2HR9/n9QWAPVO8wfp9mJE qb2rsilZAAaUy0rrQsWIHWvofM5fCDbPXB21eCVGTWpaufYqqyBDI6Pb94gU VjC8RHtvJwWzbzV/PfmDNE5X6aAXHKNAh95EvTULCg4cOYQonXIwpEm8cyhB Fp9+dinwN5oCpDM8ta1kN+DaU0pemj8qw/D8aDorQQEXxIRM2xxRgTOeLj+V eyvjhDzRgcUZKvy9053vukEFS/WPwSfRarDu2IhDNouKTSOYUYfo6nCcW/hz 3Iwqnli6cVixYRMMW1UK23b0W+w2+Wtc5mlNmLPjmfnqvDr2mMiw0NPThsOy H+5lXdTA0y2B8S+qdKCRrHSb9aomtqK+1nXx14XH2LJyl3O1sQJYChjl68FD CvkK+Zs3Y9cvPstG3gbwTumj55uadfGb5iBpH0tDWKxm3p0XoI8fpDz1M1gy hA2qJUUeZwwwUzZyrLvbCFbZlOm83GOIfwmPeaD0lzHUeeuS0KFkhK1ZFt37 A0ygR/B7judLI/xS1VIx0n4LTGLuW2gqNMb/rU64aUkxhTCgoT0k2ATHSNM9 O9+aQve6D2dEzluwwmj03jAODX7j2ps4RzXFkyWG2XmxZlAzX0M0+9oUZ5tp rXvsbQ7pfY8muippOOMv5vMAAzo0ft/rVhJhhn2yj3YrfaTDNhv5W/V25nhl 110yr9ECHizZPluuTMfcyZ1RzcmW8DBz/O+4AToudLLV6QrYCh3ix8ItKy1w VWIklbXVCs6+NV6oi7TEyd6/7KMsWcHpDQXSgd9vxd+NFpQld1lD6tRn+gzV CrPNb1Z17bOB3cEb3OGwFf4DX2Hve2wDx7NPm566b43ddbzvtpvYwtvpl+QC dtngH8Ke/0xNtYWzKr/d/7fUBudtDjTpXLKF/VpzDmNqttikpTTH42cGhLPz cpwoW5yxtZne18iASeH/jGeN2GImf11vG52AK/QT+MMeBg6sXTBIvUrAtDN/ J8lXMHBogpfI7RoBeaWDHS8qGTjSizOolEVABTKBmlLNwClLkekZOQRkMt3v yNUxcLU9Kbxxm4AZRVUNlMcMTDaJX5dUELAzPk5trZWBM/qUrjx9TkBpeqg2 f5yB/yo6GZzURkC9rNGwugkGLorodtnbQcBtQ09bTk8x8MNNGYKObgLmnBOF 8f5l4FEfteD+VwT85Leu4wuPgWlcLZdxrqSv7JP7aY2BbTjResWTBGzutVsq lSKwQ+IIefwjAReOXznAkiHwftrte/9OE/B8zA3FKVkCh4cY6M3PE3Ct1yKR q0TgWMcLZB1f8m/qg4nCjQROVB4fiFgi4P5vOLsCVQjMrin6c2WFgBoy38h9 UCNwYfw6Vr2AgEnWIax8dQJXHDi+M1ZEwIDy79v8NQjMMWrVdV4j4IuD8Rb6 WgRu5JuSYjEBJzbYp7/TJvD/AOTYsuk= "]]}, Annotation[#, "Charting`Private`Tag$1937#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVyXk81PkDx/Fh1FYiUnIb5RznzHRI+Hw2WUI2RbWyQjK6bUVC6RBZspI0 FQmlREorOcrng8q45ZYpaogG6/h+B8PIb35/vB+vx/Px1vE7ueuQNIVCyZLs /0274LeY4X/PNvGH+aaxDwR610pz2Us7B8I4E7cmJV74UH6FRosFf1r+LBBL LJ9U9GJZVxKY7fKKk6smUBq+rr2IdgesAqpr9SQ2GfNPWGCng539diF2En+W v/9T3JkJxFMTMYES62Yv3Tg79wh8+MNmb7LEx2yCj09r54CwrG39HyT+t63v IWmXB+K1jM0pXALNHnXhTbCfg5dcFUso8QMpXuy0fQE4sstqIVribQ039KY6 X4I9WhVRbRIPcRwqyMOFoAjyuYY1BIr3n/ci5l6B7As9dVckbp0LTB7XLgFV H3eucK0lUEi1lsVYQSko/eK5863Eajfb6kbt3gA1obsbq45AfnRIHWYjoJYe kMyqJ5D0XFgTGYEB7R+LzrcSt/V5aJL2FUAF/N7j2kCg0DzZksnOSuDZvdbo aiOBnJK+L558UAVe+Dw/TW8ikEZohfvE4XdgTy+41CExtjs7Pjb3HqjJ/D64 9SOBfun5ZjCqXQOK0vaNHmsjUBd+GzwyVAN4imu8HdsJ9DSbUzVcUAvcpZVT 6B0Ecj3lekBgVw9kCCdvaheBUpaWpgyym8CL2WrfxTwCFZ51OnVapRkoK2do qXwmUKpgkyoR0QxO7dF4YvGFQCeaV7In7T8C+Y0U3ZA+Aq1M5UpPdLaAvuSc 9l0DBJqTL8oJsm4F79weyN37TqD+S1k7xx+0AtqNMhXBIIGK2Bfujx1uA0F/ CHNTBQTyZK23+m+uHSjPRvXtHidQRm36X8Pa3SC1lucjO08gkvOK3hvfDf6z /+H//SeBfmPX8VtE3WDx19xLNRQSjVCnPUpbP4HoMgfZJzIksrRxtYqN4YGq F7WxH5aTqPm5WNpgrBf8+8nw/t9aJFoJlnrLmfUB6aBFI4M0Em3RT7aK8e8D Pvtnj+1YR6IEMocI+9gHrIeiVzAMSbT+Rvshv9yvYEs0V3Y/k0SRtSZOjAN8 4DQuTNniSKInBa/1c2/xAe/Zy3kNZxK1cLZS9er5YDLV8fViVxLpsve9Udnc D5hB6cbEbhLVUqPMKEoDIOmF9x4LHxIp2/SsbPrwHUR1n8+3CSNR/vPYnmNm AkA7M0h7VUgiwUpBvJOvAJwZCvvdr5hEBiFOtobJAsCtWEVd84ZED6xlM/gi AZCvXCZ9u4pESTXxAZ7vh4F+gnvqRAuJQvj/TDh4jYKeI6XrlQgSpcvWXVG0 HwdQLkG4ZrMQ2dqEe130HgfLNZLXldoIEe+E8Yaxs+OgRF2V5r9ViFRa4r7X Px0HycbWCU3OQnSD47L9msIE8CpgX5Y5IERX9BrlF3omQEfVrh9D0ULEBh/v jJwigL6pqDqPJ0SUzKnSnjgCZH96rMv4JkQcGQ1e7UMCcNNpO94OChG3JkAr p4MAaq0Zy0YnhcjQXZx5yIoEirfUQp8unUJDgQZ5X6SEQJOpopFuOYWOJJ0v b06cAqEu5Q6RqVNIWpjZi3KmwNEtzyKlsqbQ3b1cyvPKKTBu+6k2LmcK1Woo 2V0np0D9w2NZxUVTyPjxk+rt+6bBDxs/zumPU2ikrLW5UnsGnKYjn6Al0+jE gBG/MF8ENPdU7bgZMY36vLuXVNSIQGjZuXwUNY12d10za+gXgZAdh7uF8dPI sm7w3IDaLNjJr0iJTJtG1IJHCsoxs+ByV8nwEjSNOBE6tmcPzIHSr+aNJHUG VSip3tmsMA/877LTbG/NoGU6UQa9lhR4kVN1YbhdhLjWN8wv2FNgtnl3d1+v CEXvu79JcxcFRh/KXNT7Q4SkE4sd9h+lwAgrpWbhvAjN/hxhd6ZR4Iwxff11 /Vk0zPN40iQtBQOfJtoePDeL6jkGRrheCr65Wj/zVG8OJSjU0TN8qHDIYdPx KI4YlWzSfOV6ggplxC9PP38kRv3eJ4E4nArvea5P7X8pRlueKbnvvU2F6ht9 nY43iNHQdq/zco1U2Lyi+tO09DyyuzLadG6LDPQJePtw7OQ8mhGuCN6lvAj+ tronYY/bT+TX446o9YthzK5RfpYKBf/1PsrvpMEyaNagF/FeVxoXBC3frbJd Dt7foJ1Ybi+DM8KPCiz2KkCXNy2stOrF+HK62I0cUYQaDt0HH9svxZTWPvgm TAlKHQwx2tQmi/XPBIS601fDCHlqt3OhPO4X3t4j+1YZvvIZ32FZpoCdBo6c T/pLBSoIrtU4bV2JXfsTjbW01OCq14k1Iq4SFlT5XeQ+U4fZ1Wl5LKvV2Eyx Q9PugCZs/uwetdCojJcBoS+P0ILlgh6+mYsKdhj1nF7rQYPWptTcX0dUcVel v5SniQ4sxtsfu8Wo41fX3nnThDowJWqeXbZEEwcsCu5rbFwLmdxHcv55Wvjg qfBXy++ug6a+nYJWNRo2Zxs3uvjqQrfwc+vMeTTctNJENnizHkwxigyPytfB ZfmX75lQ9eF/GnFl206vxeFS9J31n/Vhpb/6JqHjOryMF+Z4otAAjuw1tdNT 18UD2TrJ6RGGMC/3nuzlXl2cbKgqU+JhBIMMjmZXFurhxLsB1b40OhxzjlRS jtDHnsl/Ni4fpMNQejG9EBjgmW2PROnlxjCPaqVjscoQ8we2hlbGmMDT1s7G Dz4Z4kwbhnqDrym8M/TX2dECI/zsarAi29QMWrbHdtDC6TjG46AzVWgGxxlZ lKvQGG/gZeTENJjDmyrM6HfKJphjdO9Zg7MFFD8Jju/6YoIj8XWOc4kFLK7t 2cd9bYp3qHs8qtVlwMnNW5z74s3wryeq9yvGMqBb8Uw82m2O0zX8dOuFDLhN NKb6drUF1q16nOK6nwlL6saXhIdZ4ETTSnpLORMeeHnp62+fLXAAIfOxhs6C r9sdIy46MrBfwSQt9h8WPLjN4k5KHgMfu7xb7HRD8geuSvLIZ+Dg3YWdy2+y YHL833GrXjDwNWFwQmIKC97XN7mY9C8D528Wzd1OY8GoCRCUUMrAooqFjuxc FlSLjjoazWXgxJbl199Vs+BJY8+GkH4Gvpt1PDC6hgVHF5l0bfjOwFlnGu0c 61hQNe1vPjnIwEXKibN1jSzo9+fo3KlhBuZ5KgW2trNgYN421slJBjbgq9p9 47PgmVHlN2wKE1sUhmk9HGDBjaEZTfrSTGx1tUd0aJAFPTcW8QeoTOxikPbi h4AFr+Wdl/P/hYlPHaVpTUywYNzai2wfeSaOsL4kekmwYMePvZHaCkx8Ve5b 2xkhC+Y8Kr79RZGJOc+z4mZmWDDTa1Wt12omzrwowy6dZUHukhX96muYONft 0NYIMQtGyCb9/KTCxIVrP2ja/mRBH5s01btqTFxO6IsWFljQ7KzFhj80mPh/ nYtHVQ== "]]}, Annotation[#, "Charting`Private`Tag$1937#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0nk01O8XB/CxRbYspZJlSIRMGC0Uz1NIJCK+FUrWocVX+iKlUip8oy9S 2XeiInuRPB9LWbPLkpDlM2MMBmPffvP74zn3vM49597nnvOWc/zb0oWTQCC0 st//a8IDxy0aznF6MmsPXTVv46img2h6gegHrFrK6GS2N79XBBKJIQDWWvge ZVs4siSPvycSHP1sJAjZTsDCZHmIMeDupZRsE7YPTDu/2KQkAUVDF/OLbP8W TtxY604Flktx625sK2RuPbyymgH4OsyL/Nm+oet9c1E2G1jtCrv9ku3CzqF0 lv4HYDXlcCyH7ZXrpv0zlI/A4MqAQAPbyRz9IYuG+eA/q+1j42wb/IjYt9Bd AEaTd9YK/oMjWrRRJcu9CBgsrOdrsh3qvG43t1oM5CcGMmzZ7lh1i2LKloKB B0tZJWz71MqoT+eXgexy9880tiVfdjZO6pcD4Z5TbdLeOHJUgVwTFASC8xpk I9jmXL3bwvLHQMCBUusWtjuHrKVZhpVAkTvtlYgPju58ECid7a4CfjuEtOLZ NonEt8wmV4MCzdFInG2pO5VWM+41gO+28xrZF0eYvi9zevUbmFqTZ3azzftr WGlSth787rC6auCHox7sqzeDVg/anRUk37L9LjO6eiK/AZgWnh8SvIsjMy8z e7p+EyiabY38w/brrWWvqZQWUPXvhzcf/XFU5GvidXtXK+gz6viich9H8fQj u+f8W0Gowr9TWWx7tIpRZg3bAKVwNCD3AY7E4us4Z7rbAeGNveNAAI5WhUuy PY93gAEHQW6vRzgafZR2jpncASL5WCV8j3FUQnmQOO3eCZLRpAUIxJENWUtn arULvAg8Q2l7iqOUhqRbE7K9IC9B4EbIcxyxootVBkN7gchsEo99KI5OURpH 2pd7wX8xkiePhuGIwbVoXdbRB3aW6mfOv8DRUV0znZCgfuBs/lgtPhJHrR/X OJWmB8Gdlftt0bHs/4KtV4RIQyC4VZWeFYejY4pROkHOQ8B6cT2vPB5HL1jZ c3fbhsB2Iz3T6UQcaUV0uTi+/wN8ssRaA9Jw9LDhgImG/Qhw19L9YZ2Do6z8 T4rvX40AYHlTLSUXR+3RJ7n2NY2AeEdkzPzIzi/lYvku7VHQFviuLKYARw1c T0gE8TFgtuEYs/szjiR0f4m1fMfB6ZIBjeZqHOV+DPl1g0QHOyaKU8QGcEQX o4eaONCBoNZXv9JBHCn5mOjtj6ID3zhiodMfdr6PC6SMLNPB9pMWZlWjOIqs D3W1+TYBwNBBw6wJdl5H/psxspsEfeo7ybtWcJQk0BgoasgE534L3wvfTUV6 uvfsAq4wQXxQdHXGHirq91A9NO3LBO6vXkdVSFPRrvbneNM7Joj8c6trRY6K IqJNjYNFZoDnzy/LCSpUFLivWXjz1wzgDbYXCj9ORRTQFsPwmgPCA7njak5U REhdKPv1fA4Ei+pbv3Ohomhuqf6G9Dngc4jfWsWNiurqXWWyf86Bsr6InYdu UtF+q7VUFx0WeE4p6PL2pSKam9KHAY55sONB4tuMUCq6Fnm/ojV8AUSX135s KKUizvnUQZS9ALbb7aKWl1NR7IU6wseqBfDKx45egKioQUpcP4y1AHIkHe3e faMi1bdZtcYXF8EN++sKtW1UxPjS0VoluwROvbu+XkqnIo8x5ZGi3GWgd9Vs /0tZGhq60stXWb8Mbtp2B5zdS0Pne4JJP0aXAT1YO0lQiYaONlL9xiRXQHDi Vu0YEg1x5WeISAStgBqnI5oMXRqK9pfT87VfBerRfe33LtNQpfjuGG2RdSDx 86jThWQa0gqrqzBUXQcmn/Za56XTUOaWO6MWp9YB/vmtp3A2DYUu/zx4zX8d aEYJaPbl09Bfg1HfY2nrYI/Ffr28ahqivxNhrWIbYIpxOOQSjYb45Z4oDR4l QLinGZQdGkd1xyMOPjAkwGdeFFt3nXH07GLiEWlLArQcqbCVBuOIM/yzke11 ArQIerQz6vQ4WtlgULoTCHCFS+Rnue04mui3zmrh5IC5hcxzG4/HUVO0kjLW xAFDP+jxX+oaR/8WaWnY93LAa2tOx973jaPTrSe0N8Y44CzYgjiHxlENr53x 8U0O2BB8u6mSPo7KfcLdP2twQs3adEoAgY5yrJaz815zQtw6dZxTjY5eiDSq pFzlgnYy8TpH/6Wj0iPSxWYeXDDIs9byazgdjV75G6zd44Ie9pZ6xm/o6FiO uNWFN1xwta4i3TudjmjGdveFmrngNsM8AzlER/qBky1+x7jh6e/mEXXzdLQ0 v83bUoIHRh9UCXngNoH2Sjtubu7lgX01aRW0vyeQmUFRSI4GD7zWtnnPxncC ZUReTOQ7ywNL2j0yrZ5NIMuDKbUVgTzwZ0KPU3r6BMpx05RUneGBx/ls/pQM TyDHX1aIq2kLbN3juKfTmYH44/7cvNW7Bdr5GYhvv8lABTYeUoP4Flhl6i5q 581AXH1BfmUcvJCWvKrN/YyB0nvKyLeO8MK0e4vTxW8ZCO8iZg2k8kL68RuJ 6QwGutbKCC/144PKZz+9/O0/iW59e+L4txI/HFbSPar/eQrJjJ7askDmh8Uq hGGeqinUyLn1nT/kh1Lj3wTbGqfQPhg2E3KJH/p/Et8IGJxCvWWvAtKf80PX kCfrRrzT6EReZmLvNLvP7UfzvTiNROPq+vQ/C0CsW3P8G4GJ8j0Fz+8yFoJk JuHP4icmaooV98v5SwjOuBQYPa1gIrxGMumksxB04H+StusbE0nuVp648VAI up+qPmPRzkRPKg0DK4uF4IK7bzf/JBP9Jfaw8Jq8MGTd/JKWuncGrRTOiH9d FYYSuZSrga9mUMq963T1CyKQUyvn8GroLFLHti4FXRaBrPfDcfFRswjjzuIZ dBKB2wWBnEH8LBoKGyWGeYpAT9exmIz3s0gm+fKF8RARuEBtSy5omEWxNeY1 KeUicEVddmpx6xyKFNJKFJMXhayBI7anwubQ46Q1CxZDFA7kNhxOfstC59Q/ 31KdE4XXOqPmC/NYSKbydoTjsijMJBRbNpeyUNkwvbWVRwxGSpfNSDSx0Oy+ XvMcGTHIj/S2LDFZyPFD8VnXc2JQsFX79eqxeXSi1MO4p1AMum7ONuzsnkeE jiFYflcc5uadYmyTX0SK/7jesVLZAU1PGvGsWKyg0fk3fwl8lYBiaSpHtGvW kcnYtfuRt3bBsemYwK4NAmY2Gq4qIyMJobJXgK0JF0avdgyoy9kDiyIbi1/G 8GAk0Z/S+vbSUFhflzZ+gg/jB/MO/XMy8AV9tb+tjx8zmrRZlLcmwheTm8D5 mxDWU+XMYXNADmYFoTfltiJYcXDNFeK8HJQ0beflrRbFXHm8h5qb5aFzqOyg lrk45uR1r1gwdi+8H3KHj/R9O3aQotps6qAATx+S3FmgLYG1iB0Q8NbeBxk1 DT9sW3diX3Ifxx3gUoSfTGWJBWa7sXscKueafitCnSvbqe+nJTH+/runPYqU 4Mh8kyR8LoWNZcpFJfnvhxsTulfaBWWwqP27uUutlWFRS4dzUJ4sFh7rWutA VIELIRZ3muKJmE3U5WZBqgokulh8X70shy0ZZCwnVajCKSu9MBl1eWxk7OSd qqADkKEoNB/DksdSdTX2/HBQg5SztcocDXuxnKfeohQ1EtQJ1/4RH6GABVk7 neGaJ8HRmsWl19b7sEP9KdlBPw7C7Wm/B7xUFLFo5bicH2fU4daWkleXZhSx h1hY9JlSdaiRF3yYWK+End1jndGgoAFzfpAzSQn7sRMetbaiIRpwBzGPW9VJ GUuSclRomteAUZod3Vw6KphC9dvXZraa8KprSM9XTlUsXK1Kpb1CE16W4q3O qFXFXOe42+pVyNBE/Hy2W8IBzDF/lhjyHxkO25VErjmrYTcen18ziSBD3OHy vK+bGuZ9vqhb8CUZVl9fuzR3XQ0Lnvd+Ef6aDD3rZZXpXmpYrvby6psEMiRe oQ10B6hhy5WbPzPfk2HrE+rbwng1LLxdMKymlj2fb+TdjU41LDbtptuzejLU cNE+Q+tWw9L+adY/3UiGdTpek06/1LASifCVxmYyXCoKPmI7rIb124i7dXSR 4dr7w8PGTDVMaWS3/vAIGWp28EQoCZIw9aK7MuljZJi8ecg8bRsJ03n6a9mF SoYGVnrbZMVJmKlSQt44nQwlGJ1REpIkzOs6UWZmhgw3ZflKePaTMP/jj5YL 5tj7uqiPH6mSsKdCw53/zJNh+NtYi3USCYv+mPZ8aYkMm6V8WaxDJCw1gJtS tkKGKCCpzlObhL23cDnpv8a+LyA6kXGchBXJf5fW2yBDsQcOPm6QhFXMKS5v bpKhT++y+ag+CfsfT73FQQ== "]]}, Annotation[#, "Charting`Private`Tag$1937#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0nk4lOsfBnAMKlSWOBqDGTOSJUvjKKTnQbIcaUMdOkSWVpUWlOqkRUpi chBCIqSyhKJ4XqHs+/LOmLKNbSzR2Kl+7++P7/W9Pv/d93XdNM+zB7xFhISE Bon7/3963VPcwCthJ0x+aHf/BY4q26j2h6hBgJST2/F///5cdotKDQNFd6QD wgmvYxXlSuAsUBz2WvcR4afYQ1Ux6hPw0vveCouwzneviN++ycBrdWpvLOGv 65J+rXSlAtH0Zc5TwowXa4yWltPBSH7MWBrh02aXzsyrZoFXExdlXxN+296b NmP5Cmx1ittbRHjplD132jcHpGwhPccIpwhzw+at8sDh3++k6gnvaohSn+vK B1KxxeE44ZE46/KZEwUgT0ySPkQ43OvnEcFyIbibktM0Q7ht+Xj0lGoxMBQT Pi2fgaPLX1T0v+eVgLVNha4ahMmP2+smLD8ChaoGDxPCnlqQNOaLgIW6Sd4x wiLLV5pmgjEgnh+3FES4vddJecaqHMBcP5cowoGvJIt/dH0CXkZx/1QQtmMN if9IqQDjpAWhb4QpgeWO0ycqgV7jcMkiYcwyYOr7chXA2ln+hpk4WtXdrzGh WgOyxIemiwjjWOml8ZEaULPtsR2H8MsXcRVjebXg0/51Jb8IO/g7uPMt64GN PeurXRaOYtaUxAz7NoGSPO62KcIFAXb+FxSbwVSyiA3lJY4S+ds2CoKbgV+o 1Vlbwn7Nsr4/rFrA/QEHUgZh2cRqkemuVpBm9c7ibDaOltcVZZ3b0QaOsyTW phHm3Xy+byqlDRxR7J5kEy7yvZ70/UQ7yJfSXLR5hSMXpqHJ5HIHmPx7RdPw NY6e1SafH1NlgxeeN9eAHBzNxBVq9YSzwZqWQpsHhHf71g20LrJB7tbQFpzw OGneqaSNA/SGXbCAXBxtN3MwCQvlAgraL1+Vh6PmnBURje89YPmmQv7TAiIv WOO2VrcXeOmdi/lF2HRTtEmoVy+Y7FyqOlqIo4iZLMGVll4w5yC/SrMIR4ZR Hd6e2X2AgT3eUPMORzdqdewM3AeAxL6nAdYfcJSZ925T9n8DgKrMVC4l3Bpn QVKvHwB1K5PrDT8S+/U9/FHRmAemnh77ql6Ko1rSbV0huUEgm0ilbEQ4UjDr lm36PATar+nZ7qzA0ZucsO7TunxgLG0UeLseR3xZfridBx/omzme3diAI43L djs3R/NBhcn+hzmEU3ZIPhtY5AMJ5Zs7expxxKoJ93GpGgOFmctB9i3EXgce TVsfmQC8uxcD3TpxlCxZd0vGagrgzQ4fPfpwtNPs6pF/3aaAc7l7j1I/jrh+ 2n9+D5gCXom5ul2EFVsfDNW/nAIqwm0H9vNwFBVnb3tPehqsvPMvOjiMo1vq jet+d08DftKoQtQEjnxBy5NxfwFwZ3Ozvy/hSCh1rqT7gQDwObYH6pZxFCdK 4damCYCu7mvVzBUcVdf4qGR1CoDEWaa+9y8cbXZcSfU2mQENvw7pTgiz0chx jVffhGfBJ6y52XANG51kXStrjpwDoot2e9IU2UhkNrUHZc2Bz3Rjy/SNbBR/ qFoo59McSHKO980gs1EtRc7y4cwcyEwo2ZFDYSPtjMwvtofnQav2C9UGKhuN f2hr/qS6AF4md4pYaLKR36DmQMGbRSDWaKMua8pGvW7s1eU1i6Dg5rlbB3aw 0UH8nm4DbxF0JnTtjTZjo+11w0GD5CUgfWLYkALZiJSXLq0QugRetSETMys2 igum7QxwXwbc2qDwyr1sVC638Ymx9E9Aca0gj3mzkQTttkbPdiF4WdackhvD RtU7ovSuWwnB/rANLGYcG909nLRN+YAQVPz2t/v7J0TfyPfWrqeEYBHsEf6c yEZLv8Z9u54KwTeXz/lPp7LRGNcps0lEGEr+GHcPy2Gj+jgNTaxeGEpZjl7E atgoQrpO69lRErzcyoHeIhxUvE250MGPBPsrdsidFOUgnttZsHKVBE++FUo8 J85Bpq/lHA/FkqCMsWtbiAQHjdgeuba2kQR5E8bjH2Q5yPLWRFOQqSiMNOp2 v0nnoIXZ9ZcOKIjBCHGWmdtuDvLsdkSkenHojJ7nhkVxkERC35nzbHE4zv2x e+4xB+W7+FF6hsRhd3BIvlcMB5E4oUElwqugVtozKesEDkrDS5jnt62CgTlo gJbOQUMd1MxvqavgqrfruvSLOehk83hkcdBq6DaYVF3cz0Hnq257ntWQgCHQ 0valaTfKOyd1UNF2LTSVrVEiLXSjZ1dP8fUPSUPrt9kjIqNcFJK8sn9mXAa2 cRqWk6a/IqG2Xvjxihy8w7PvUKX2oE0XfQIdteThEadAmev7ehFvNtZZslQB 7jv2o+MRvQ+lmjMvfK1QgC35TnF+Gn3I/WHjo5xaBShvXrdqn3Yf4jDEag7i CnDXG485MrMPtRz0N00UKECFioE9LRZ9qCzPnrpF6w84qpVQW+7Zh2LPCPMd Yv+A1y9ksMrT+pDd4MlrrPOK8IOAV4cZ9KPd1+ivdgUqwkiarZ21UT+ykOdy 5q4rwmrNL1PNJv3IxGrPdtdwRXiS6oZNWPYjrXQ9AT1DEf7nlZ6/x7kfSXrP HC/kKsLxxliDrKv9qJ53zRG33giTlY/+11fdjxx4kdoqKmR4NntGYvHMAKrX 5rUfYZDh4MKaXSIXBtBfF7ZdT9Aiw8/uct/WBQ4gG5FvzYrbyJAX9Q5sDRlA FlTty3L7yNC8pUI0NWYA/XmkClsdQoY2N+WWNLABRGlfdBIMkuHdqfbtffI8 xK/w/Lf6tRKMv6Gx8Kaeh1Sj8JMRBUowZO23pM1tPOTo5uDk+EEJOkcZ0TLY PFS2YKzVW60EM1Rma/KHeIi1RaZ9fkAJpolnMMSEB5FpLNLQIFOgiVJy+xOj QRR+ktJ05y4Fqng+eJ2aPoh0ZTqVLd2Vod/veVOz6CE09HAo5D9vZSg1yLwd njCEnkrMDw+fUoZvpBM39KUOISlRxfzwQGX4eX+EanzeEOLP/b27M0oZ6sht cLFvGkLp3K9+JyqVobBllEOh5DCiZA6iR5oqsEjM5WjxvWEkAWY9uAIVyOeV 98dGj6BA882ri5ZUYPOpoF3kpBE0ZOn65pGwKnxRWWydljGCPtmUL1msV4UR t2UcmkpG0JUDDx9naanCsvCxjSF9I2jMW73qsocqpEaPlR7VH0X14U6bZZpU oYm6SBWzfRRZT7jMqzlRoc/jj70Nf46hpA232m4cpkLWDXsNU/MxNGOancN1 pcLM3hlWnv0YSrm/7BvjSYXP4dx88bExtKSRiK85R4XisccbjVlj6JXn1+Kp +1To9+u7z8rUGJLG3YPLMCo8Qy9prSgcR/gnL2EXHRqcKT1uRHabRFPmHPI1 PRrc/bUyT+XUJFpVvtcwZSsNenctf9MJnERGyMR3aDsNSku0nvBhTaLoD9IN /lY06MjV/unwZRLtLfgY98CNBqP4H1eWt35Hn9M36JdG0uCP/TY7l1ZPocJ7 lW7UWRos2vcxaGx+CmXa1SmGLtBgagnNyldoGsVLtbZOLNPgq+QDZaOrp9G/ kT27P4iowYDWB7Ui5GlkH7ek6yytBuPN5Evv7JhG/Rn6vx9oq0H4MTWuNWQa rfuSmDzvoQaZq2XWpW34gXzELvU2NqpBzq850tIeASKr1nQtt6hBVlgqJeqQ ADVuV27a3KEGj+791qnrIUBGp6tKQ7rVIGPRwuT6RQESb5NPMBpRgzHS/qQz CQKUnlLklCRMhy329M/hfAHimS7UnjGkw4LsQ7aDD2fQMf+rhVLxdHg30Ur5 1Ogs0vPVbrT3YEDyFnppxuACapLVkbxkrA4VRHb/DEheQR/ehCTokDbB4sob 69/vEsKuCmvtq/+6Cbr0uBpmx4tgEtwrNn4FGrAdlCxFyYthgy9o0cnBm6F/ yjmGc9gqLHrzRtFiJ024dKOfXLFfAouM9/niQdWCwYdzLbtF1mIu0f80Sg1r wfdWejFR79djC7vSF5PLtOHbhsYF3hEZbGDQIvBTqA68eKn5H7FaWSzVzECp wWMLnPWK8/Zx3YC9vnNJxneLLtxtZJ4X3CmPhTod+4s0qwstXP14gXv+wP7k PssKbdCDZXTVUMdhRSxOM+F1w1/68MiEztje42TsBvYw7q9ifXigbc+TCkkK tkfJKb2WYQCB6xT/VpYyZu73xVUmzAAKVWuGz+moYskUT0b9rAEsjZ0x33GC ijEqMmIcXLdCPvNCWqQuDYvc8kmrtWwrpJzfln11iob5CERbarSYsN/Y87lT hRrmmfeDGvaICYMlvGoC7tGx0yEHV+yimLBsh3P9yAM6dulgQZfUYyaM9q3p +PsRHbs3eykiMoYJI46qr5jG0LE3xovLsU+ZkOJ3KEYojY4tlv/ufJHNhB2s Lz/vIzoW2Sr1sPILE6Zoe4ekzdGx+Odnjt+tYUJlFYO9Ckt07PnFRkubOiZM 5P+hdu8nHStSiFyqa2RCFq7JOSXKwLgucsfbOphQa2TNY6YsA9MY2GjZP8CE Eg6K6pVbGJh+wRWVtEEmrLfWOGBkwMBM7nQveg8zYaQS7U6mIQOz13iaO8pn Qm50zUq4KQPzP0VVmZ5mQkW5xK3OtgwseMfNxXwBE4puyI2otmdgd9b2t1+c ZcKYjNgpk30MLC7n+YOFBSKfeGeV6iEGlvqvqG/JEhO+UNAwZrkwsOz93hbB K0wYYgHzRd0YWIHaZ+Wdv5hQIU/FIMCDgZUJNi3+/s2Eag9Q4agXA/sfRNRj dA== "]]}, Annotation[#, "Charting`Private`Tag$1937#5"]& ]}, {}}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.99}], ImageScaled[{1, 1}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{Automatic, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"E\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-10., FormBox[ TagBox[ InterpretationBox["\"-10.0\"", -10., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-7.5, FormBox[ TagBox[ InterpretationBox["\"-7.5\"", -7.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-5., FormBox[ TagBox[ InterpretationBox["\"-5.0\"", -5., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-2.5, FormBox[ TagBox[ InterpretationBox["\"-2.5\"", -2.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2.5, FormBox[ TagBox[ InterpretationBox["\"2.5\"", 2.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {5., FormBox[ TagBox[ InterpretationBox["\"5.0\"", 5., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {5., FormBox["5", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {15., FormBox["15", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {20., FormBox["20", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, {-10, 5}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwd0Xs41PkeB/DfGFa5hUWOjEvj0sU6uiB26/PLnZWykZrHImRcasOGNiWd 7XGJI3RBe2Iq22lcEieKY3y/So4kYuQ6JosUuZtBS7/fmXM+z/N+3s/r3/fH OPj0DyfkCIKIkuV/fcyl6vVOSRDY36zpDg+jUKFbsAXnUAQcSe87Gykz3dzw q5FROjzd3+B0RWa13JpHSn25oKmyTu+JzA/OpKzyjQrA7I7yuFRmi9nQLJpb BOWfiq66cCnULr5NrfXehfwnZn/lyyz5UOZ58cvvkKDyfo0VTqGTe+NOLRvy Idr0y+5imb8MfTOixC4DcfWAv00Ehf6M8hTNcytgZ23PxLjMPIYofdm5EvoP NLHvRVLI6XWO6VJvFfi0/MslJopCH/NdGyURj+GqTaq390kKZYZ+8V9crYao D4qOjqcoJFwNvz5nWAuJqK7b/zSF4v9jYDVbWQex6vKxl6MppHet+9W0Yz1U rd86J4ih0N1UJlvxDwTF9iuGb89QKEo1KbFdiqHpk7y6IJ5C3cO+LIlzI/y4 afXvRxIo5DAzz2dYPgfhSDzfPZFCHrnjXy3wnsPawWdBTucppH+20Wc+ogmI 0Sc8lSQKYceEudnVFxBC5KV1XaKQ4uCI+bThSzjfG12+6wqF+rAgburjS+js rvM7mynzjNmLT5Wt0NoWXN+eRSGvWK/AScc2UNBv+eejaxRqsKyMbeZ2QNON CVu3Qgp9++9ziTbTHWD/+7oCcx6FrOKPhtjefgNdW3UuSIop9NMbTe6Ccyds 3D/64k8+hYz1rlhJe7sg4mm3eXMNhVbVavjR3wnB5vIFnkkdhcYu3Ts0xxOC 1s79tdcFFKrhJhXORnQDb03syW+iEGfXbvuZ1bfQynGJuyekUB2jOemiUT8s 3KQHhiSy/+dXb3uX2Q/02vRq6WfZHrFrNzPUBuD1wC+F6TSFppjLvnXCAUj7 IJi4u45Ge/Z62aeniqA0TqukgkUjFz/5AXrpHZgxKk9IvqeRIqwPULUchh6W YX+eN42UbO15YSHD8Gb8m8BCPxplXOI6PUgfhvNepVfk/WmUJeEvnuscBm46 rLiG0ohYFnGDS/+A7w4pMZ2SaHSx1cJjR+AoWOcklwxW02jr+JRp6Y1R4BS8 7TAR0Kgr34Fp2jYKjjMjn5ObaGTCPVqvazcGaHe5VayQRlqbNDpzFsfAdvuh juZpGhV3WU93NI9DfZaWHe8vBPbY6Oetkf4Rzuxo8WzcR+CHFemDJy0noaqi 3Sf5OIEnNSczPY5PAvtaZfnKCQKHltX5BBXJLC7z/SWKwEyHXjffwUnwONtd 3h1N4B8i+h4rd36C+rk2512pBLZaKnzgQUzBP+jfBCUZBI4fvTrv6j8N21Wt F7LLCBwm8mIbOs/Bjb6ulDWKwPv2JvonB8xBQdgaz1+egQ96JUbOJsxBHKug uHk9A1vMZIy3lcxBeWP4iQotBs7J93RPU58Hcf+dTuE2Bv7VtF2NHpwH4tZz 7ZCjDKy/S06b/34BNqqx7uvlMXB92QY76c+L8Kx1uuLxUwYm7i7VDWYsgkbP z+6ZDQycL68vai1eBI8tqb+VNDFwy8swA37PIuCqWZfPbxhYNTozLtxeAmcH RWLxBAN/DDcvEzOkcD9oT0Sjvhy+b5sWo7smhRbH9ESHQDlcURb5Vi9nCYaS c4PFKXJYa4NBYULtCmh7MyVlJkz80/uto48ffobt3hxbQSQTKxlfNn+3hyDz zBW6FvMUcJb6q213gpjkDpZZVO2QIg4e9EHMtq/I8WcXKvJTlHDMi8vBp82V SL1O5ZDv3VVxZbTKYV13VZKciGAfXNqAodBOettenZSrqtCxCdLAKR5QIzqq TjoV/Zjde04DbzkQlSrwVyd3G4X1HE7SwH8rWvOWTGmQ2Wcu9cmPa+IGa8Mc 6bIGKVbhuGnOaWJCOEzWn/ua9Jm1Ugvy1sKew97bmtja5Kmq2JXWAW2snmH7 qsdcmwzgVKlki7XxdV+Hka+9tcnJA+xIAwUd3BIXoFh6TJt8ZFQnNFfVwWPS vCPKAh2yum22g3dsI/Z4H3khN0aXFCjk+F2X6mKvseztBgZ6ZNaIrtpKph6e fB6c3FK+iTTlud1iKetjS40elmMgi9TRPGzNK2VhJZAeFy0akK5Rwmm5nYbY dZqzvNnXiCx5WJXvdMoI9z0LZXAsjMnXIqx2eJ8xrk5rCjCSGpO+QVvshhib cZhC3HB7+2Zy2O/bGU7PZhwSm1itcotN7lfMrTe7zcZmhhGdsxSbJP5/Jvi/ QY91TQ== "]]}, "Charting`Private`Tag$1761#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwd0Xk41PseB/BhirLOWEqMYSxHJDmObsnR5/eQlFsOsqUee4a2I/sxp1XH EimSpnuzlm4TkcK9afn+HGuILAdFmbKccqzNDN+Zsdy59/M87+f9vP59f1gh P3sek6dQKDGy/K8tknfz37EMQRM/umlCwWgy8sPnJ7xfQKjOXlWQebX5VbKh YTqsOKODujKr5dQ+VhrMgYDeK1b2Mj+ITZHyDG8Dw2XWPlJmy9mwrFV2IWRV Fobek7nzY/7K0kAJlPlV/ntKZuGf5QfOL5dCztaiYEc5jE46xJ1aNOBBgESj 557Myx+2flYyLofMsuI1NHmMJCcODM+zK+FbTFxytsxFcsPpi85VUM7bnKtH xWjPm2zThYEnEKHx9vUTmb9wXeqFkdXQMKhj4rsGo8yw5aMCaQ34iR6UrFuL Ua80InfO4BnkMTSVbyhgFN/CtJ6tqoMFI23hCUWMdG/0tU87vQDrxIpVj3UY laRSjRU/IcgPdOflKWF0QvUcp1NEwkOfiu4lZYz6+N76Qud6qK58dvaUCkaO M/M8OasGWKmO6TukjpFrzoTCt6IG2K+SNaVMw4iRWO81H9kI9SNd2J+OEemU MDcrbQKbFqUIQy2MFIc+m00bvAZG0tWMfboYDZIv46a+vAZ+osshgZ7MM981 /VXVBmFNQTZl+hi5RbsFTjp1AAf32DiyMHplVRXdzO6Cn7QKO1XMMbJ/nsT5 23QXVB0xzT1lgZF1vF/ojvy3YH74ovbCVoxOv9Vgf3PuBrvQVDrve4xYules RQM9wG/f0Kdtj5FUrZYX9WMvXKj7EJ/tgNHYxbvuc0W9sEld206XwKiWfa5g NrIPvITiZk9njPx/sN01I/0DPLpt+YHuGNXJNZ87b/gOohLj06cjZP/n1liM ZL6D8JdHrnJOyvaIXsrLUHsPA+ube3qiMJqiLnrX9b4Hpird4VoCRjsd3Hal pw5DeFCT2+ZUjPb6rnm/ujACDzqaGy7xZHvB+gBVKz5MCCKZ1Y8wUtqxqyg8 lA9JZWZZ255glHGRvedBOh8uHD75LK4GoywhT5DUzQcVobv1necYURaH2SFl n8DmmH4d7sTofJul6/eBo2B5t8jgHMbIfGLKtOzmKAjXcqvnlzHq4TpSTTtG 4aR3IyOWKkYmbL8XOnZjsG3Kyq9UTYy09Ojd2YIx8DScmA8zEqN7Pdunu5on IPmp790SHzFy3ejrQU//AvHMsqKuLDGqqEwfOmk1Ce154cXBDWI0qTGZ6Ro8 CQbSpz6WbWIUVl7nFVQ4CaH3x6TpPWJEdRzY5z00CXmKVeaP34uRZ+RgtXL3 X7DXiFnTuCRG1gsFD1wpU1DQn2/PpUpQ/Oi1eZej08DxDS0Y2S5B4cNuxgbO c+DW5ny+tFqCdjtwjl4ImIOqm0EfBC8k6Cc3zvHZhDlY3SB55dkkQZYzGRMd D+fAorbN2rZfgrK5B/an0eZhimnnmoIlKNm0U211aB42aa3vDQEpYvwgr80b /wYliTdGC4ul6EW5up0oRgAWl7eeduyXIkrJQt1QhgBKIi37YkekiLuGMdx2 TwAzdUXyOl+lqPV1OJPXLwAN5eAt55ekSDUqMy5ilxBa71b8vdt4CX2JMCv/ KCeCM90ttxJjl9D9HWlndJZEYGHLE5V+XEKV5cf/0M1egDy5I+6j+stIS51Z kPAMQ2Ltcedr+ivo9Lj5aHWFGOJTh95oXFtB/IB36+pfi+Gb0481+++soEOD aVZvxsRQ6x63msFbQTvb//xlXFcCHO6dIpvGFUStKqVtSJXAlfFjnoqSFcT9 lbU7IVAKXVPWHq3sVVSvuem2HW0Z8h1s7jw3pZBKrMtmIzspBOJkf5LqyJFZ tHaL4iAqMWRy2/s7OpUMGfJC1A4FgiNlmChFryXPNF0O+dlMibh3kNFXLFEk q6JUDunsVyWKNhtMpHGUSCiwE+XvohFBb6x35rJUyRRXqB32oxG7bz0u3+al Sm4+eCL15VEa8XzjYdtP/qrkpcIlD+EUnVC7+R9GjwKNfLXdIFu0SCcWY6zZ V2k0ktLLJ14kaRIdc0laueF08gDfw6LRWJsgzyb8OjauQdIydrT3m2kT3rYD Lde/apC53o6fNT20ib7Y4qdu6ppka1yAYtlhbaK13tZp60ZNckx0y0f55Qbi TNfF354d1SJdx4+fzTmjQ4T0/XPs/rw26TZ2fQuTqUuopgRyvZM3kpMNIRda H+kRPvfrAuWWdUgrer++U6A+wW+jl7Jv65JKIAoeFjCJIGp19W8MBuky7b9o 5G1IfIyKa5H/XZ8c/D1Mzt+SRYTEfPW9HmxA1qQ1BhiKWIRcQ/65fTGGZPja OH5npxHRYe+5p20viwyN5tSo/MOYeJiid7tFxYjcxt7SeSDYhFDbtP3SwS4j skvDUjnOzpRY86/H/qjEmGQ5myoXck0Jyv/PhPwv+9K15A== "]]}, "Charting`Private`Tag$1761#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwd0Xs81PkaB/AZpDBE0rrPDKGE2q3cSs+vpIukJVQ4RDIp3SxpU4hyiQqH bTbHJZuOKWWnMoT6/iwpl1zLJVONW0mG78wY5LJ2znler+f1vN7/fV6fhxl4 2v2oHIVCiZLt/655/BZBD5MBlqGEDoWC0UjIh/7HnF9hNvI6LJJ5oe5FPIOR DO3JbhWaMqtl8P5U7s4A//viQAuZi8ITZjmM36G9ebnQVWaL8aAbC6w8uG2k tCdK5uaPOX/PdRVA1ubQa1yZJ74Uu8TMF8JN5tkGkcyhDhEnp+gc2HH+j7xN VIzmP1j2KxsXw4vNfymmyjxzwoUvYpXA/MeHZkKZ86n85CknLggC0ngechht f5NuMtn1GJqcvjDrZB5m76yeCHkK+u7skK3yGKUGzftKZkshVjHxep3MHbPH MjH9GXAW8kLGFDA698pw3Ti3ArZ/uMpMX4SR7r/fNgodqyA7k1HqoIhRQaK8 8eI+BJePsj1FizE6oRod1SwlYWLZdtrfSzB6K/A0mHCqhgmeT5a7EkbbxkQc qlUN8OhkZowKRs4ZnxXF+TUQ5z9apkTDSP98tYcopBbSvrQZLVLFiHSMxOOz L+Fg7P4EnaUYLe7tNxPS6+HaeqdL5ZoYdZPPI0aH64GS/6p7ernMY6Yvv3Eb IDzpLM1xBUauYa7+I45N4DE9NTOhjdELK25YHasFBk7vedRsiNGmygtR1sIW oLAGsrvoGK07d/CITU4rcD8qjkcbYXSqdRlL7NQGq2w77HeYYMTUvbZO2tUO W3hbBrwtMJpV43HObO6A+NjgK7ZWGA1e/uNnnN8Bbz3KVRjrMOKxonPHQ96C 3PVLN2kbMPJev8F+bPYdyEXf8/PZjFEFtS46htEDa5IdPDpcZf9nl5p/Su2B A+HJjFg3WR9hc7+lqL2HgsaiS7UeGI3KT3lWdLwHfnLd5c5DGNk6uNonJ/Ih pZe7O+soRjsOKLxfmPwEZ7I1n5yPkfUFSn6qVgLwaflJtSAOI2Ub+/zgIwIw 7dx7RD4Bo5TLrO1FyQIoj+rPi0rC6MYER3KhTQC0fV+30a9jRJniswIf9EHR nUleZTZGMQ0Wzj/6D0AP79M77UqMVn8eNXmQNQBlpVYNNgijdvY2eZOmAWjd a2oUWIPRStbBKm27QUi0VpjubsRouZ5GW7pkEO79ZuPe8B6ju+0bhS11n4FW d93JV06EnH844KaRPAzRIGhVsBShRyXJvaFWIyDgDEdiDxEaWTaS6hwwAoeU rS31vEUoqLjC43DeCMTZjPeePyxC8tu6dnn2joDLvwZRcbAIuYd0P1Vp+waV DR0ld2JFaN1kbpEzZRQQpeBi51UROjdwU7TTVwjBjF02a4tFKJjvakx3wrCk cD7eVFWMtjhE+cb6YTja5+11RVOM9rlGHR+PxGCvz3UY1xEji7GUz033MYSc tnzSZypG6WyX3UnqIphyL2m02ypG8SbNagu9IvB6p9n3NFKM9NfLaXGGxLB9 l9qp6Boxqipeaif9RQK1tyrKdUbFsliTFb0pEqBv6LhqLREjtoI+v+GuBBRT BXoPZsTodX2wIadTAlqtc74lShKkeiY14pj9BDyUmA2tXCVBw8fMij9SpSDO vOVSFSxB92ySzmrPSSGD9nk27JkElRQff6ebPgmdfeli3ogELV9qmBv5bBp2 PT6TFv9kAp0aWj3w9NF3iOk97H6fJkUCv54l1fXfoV5ad1L3Byna351k9Wbw O7AftmRlMqXItvHLr0O6MxB624vyX2spkucWqq9InAF347gxxwApYl9kbon0 nwUX7/J8n3IpqtbU+d1OfR6aP8X6Ck9OImXmFbNPthSif28t+iqdQnfDDX4M cKIQOrpi7zfUaZRwMNfGwJ1C/HTAfyVWnUZyaeU7fU5QCLrzoucrTKfRzN+j rK4cCuHJPLG21msafeN7FrXIUYlat+ysnGfT6OLNuTmyiUqc4xjwra9+RzfU G83vHJYnBq/sr/ZYP4sCez2QfJMiwUuNLR6yW0BnX14JPG2mTGgG0PXT2qgk 9wxtv/ZuVUJIvzh0TFWBhFw7aY69OrGpTqs9I1KRTHAGHv+gOrG8bJxfU6hI rtp7IvG5rzph2FeaM/NAkYzLm3ObGNUgqrwK+7daKpEvNtLTpVMaxIabdy9l gRJJ6RAQVRc0iQuSWps/a1RIF4Gbea2xFqE81KqumqtGqqfYNHaaaREFrUFc WqEamem5rV/TTYsYipSfYwvVyNcRfosfHNIi7jzPSK2cUyMHpbe8VJ6vIMr+ E6N7skyddB46finjrDZxOByLn8Ay0nUwbY2hoS6x9H7YwupXmuRITWDs64d6 RM/gvak+Wy3SSqPTwNHfgAjc95VBa15BKoM0gC8xJIKIWXx+jza5U+g9ZeTJ IHrjOUMV33TI7r+CqN4WTKIzQa3rW4IeWZpU68eQMgkf8zfaoUsMyOBFEYLm ZiPCYmPZW9NiQ/JIWFQp7bYxcVuFnl+pyyDXstY0uwSsJDSCqtl6fAbZssxC JcLOhOBaUL+EP2KSlY/isi3kTYn79fsUbH8xIqOo5j83fTAlejtNhSO7jEmH HL3hF2wzgvL/WUn+A+lO+1w= "]]}, "Charting`Private`Tag$1761#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwV0X1Q03UABvARJBcEJx6nhObmIUE01ihzZuJjyFDQBhKcy0NBJecETTgF ZeZLKgxBjGE2LXEH1DHkEkxRkQgiYCjKqwLbj993vEhrg72wCepAWn8899zn 3+dZtuub2K/fYDAYEY7830Gn12oHlrFwgL2xZW6OQC8eHL6pPIqs82862Rye a6k/zWLlgpUo0nU77CmrqXLrl+Hg8Ld5VxwuP5RtV7IuI6WpVb7JYbYpuWBO dA2qO8c+HHtN8Ji++nqmrwSirlTuPodt/1RuPjH7C3hB3Li+WYLU0MP7p5lK KFiR33Mcnh0MHnbzq8SttrOtGTMEr1I2UxbRDUgNL/+S2wkUTlTuNL8aQn6m e+UrgvBHhf5TfTcRw2tWlb8k0Mk3NNrEtyA3G18VvCDIT55NsNpvQ3iZUbJj mqDHvveimXkPUp5XdK2NIKN1KddUXQv5tuD4CCuBb1Hvw4n1dShXpXTetxCU 5Dj7uQ79CXFpgqFvgiDF47jk8fMGCDJSLqUZCHq18e/a+I1IOsKMrdIThBkt SidOE7IP8dU1zwiiZGPzJhVN2HvU4iIZJVhypDHOIv4b0vYXH6wZJmhYn2k2 2ZvR+aROkzVI4KoZDphgtsF8xrP5326C/oY/Do/r2iAMTAnw6HTY+F6zofoB dgWLGb6PCATpgkT9+nbMF1kWmlsI6jnV6S2iDpRdH9tTcI/gs/tZkpUTHZhn FCVx7xBwM4S7eVc70cwcFi6tJjjQuUA0ye+C6u6xhU0VBMt8z3Gf93WjTBNU ceEKgd2zRnlwTQ902+nbUZcIRk+VxpgVPdibFO5hKiSoER0vNol74cPnB9qk BNs+XrHaaH8Cxt1ib/NhglqnluMnWAMIi0z78ddNjv/lt4NI/gBUAfdXZvMd e6TPXMrzVEOmUOe5rSUYd56Or+1RI6bbwNv/EcGqUMHq3BwKqrRozplFBBFb XdRzUwQqm2cOm6Lhird2eHC0CIw8oBjvpeHGW63Ys1sLQ+OLYPYjGnmnROHl uVoc2n528XetNApsSmtWlxYNkoscuo4GY5oS7bo+hBUB+UT4E40TD9hRIYkj kNpkxq++pPH+2Lj/9R9GcPKhLGQkkka3PMzZv30Eq2YPuseuo7FcJKzz+XQU 81/2Z2vZNLwXe3UVWkfBuuciOOdGo6z7k4mOljFI1pmGzt8YRNSirVu8cnVY kmyVxXwxiN9u5GpSOXrcvViXuNNCQb9Anx+1U4+GZulQ5jMKyZW1cUnX9GAX Rbs+eErBOaxvY7xGj5DUBKtERSFW3H/LvcsA+8/14/J8Ctyp4vIoxjimwssF RScpZIxcsGxImIBuC9PPNZDCHkrgx+SboXdN9b6zQYO1oZKEkzvM0J3ldU6v 0iBaINlnyjRjpspU/E6QBmxj3lh7hRmlblqrz9saFMo3R0rnW9BgVz516VDj tP9jzzmNBVWLP/cpilEjx0PYFtE+CYY4IPrZ7wP4D6z5V0g= "]], Line[CompressedData[" 1:eJwBUQOu/CFib1JlAgAAADQAAAACAAAAHSO5j6LT+D8I914wUwjVP+Be2QjB yfk/sFboCoYr1D9T2IguzeT5P6AzMz7BEtQ/OMvneeUa+j8Y/y4d6+DTPwOx pRAWh/o/QPMO4gx80z+YfCE+d1/7P6CH/baJrdI/wRMZmTkQ/T9ArGRbcv3Q PwohhCffOABAsPhCT6aiyj+kdB0xYUUAQEQoLzNOaco/hlieNx1SAEDQpU9y wC7KPwKQuEdbawBA4NEMdiu6yT/6/uxn150AQKAvinn0zsg/69xVqM8CAUCg mQrvVPDGP3yP/PzAzAFAMN5qu18Swz+OEMsqoWADQGCkKePOqLU/YttUvwPM BkAAL3KnZKqyv3HFhGJvJwpAxG2qQhAQ0L+xcAxTGEkNQBCXsz1W/tu/P545 9Z06EEDWfEL2863kv4ZKP7bcWBBArM/tuxku5b8oTWuHvVwQQBWKwNbxP+W/ gp/8UfTsEUA4cedMinHsv741H5H19xFA3UEkthGo7L8A0+BAvHoTQMmLQ+9E EvK/TOBRKsQjFUBLNH6pPHj2vxCLN8vWJxVA5PDyuwaD9r+UVULiE1EVQOTM A2KB9va/yHVeB6tZFUCnkpvvpA73v+T1l1YLvRZAI8IMiT71+r9K5Wp9knEY QC/4p+5YAADATuSQKx4eGkARnTTT9ZcCwOrDYoDIrRtABVcMt4gaBcAuEdYd Q18dQK/UEtc/6gfACj/1YdzzHkDQP5Ufr5wKwEftWvciVSBA0lFE4lKaDcDY wmQBWiwhQP2Gv1uRTBDAtYjEXiD1IUDVtl2w+bcRwGYFdeDOziJAwcY3y0RH E8Bjcnu1DJojQMoS4htIwBTAL2crzkxhJECjary0PDUWwM8SLAt1OSVAGJBr qAbNF8C7roKbLAMmQOoYknsgTBnAewEqUMzdJkDPBEf/te0awArcekhutCdA 14O7w7qJHMDlpiGUn3woQKMQLjCcCx7AlCgZBLlVKUBfYMyVkq8fwJCaZsdh ICpAx1C/eWmcIMBalF3ODOcqQK+1HcOqXSHA+ESl+Z++K0Bwm//Z3C8iwOPl QnjChyxAKdMCimP0IsCiPTEbzWEtQFps+HnUySPACISyDgyZLUAAAAAAAAAk wIRrhlA= "]], Line[{{1.191565343157371, 0.39878488150615715`}, { 1.2045888267255784`, 0.39654764420048677`}, {1.2277325246834945`, 0.39257190727945135`}, {1.239907377963947, 0.3904355873365346}, { 1.2642597762815087`, 0.3860998028763036}, {1.3129564976466614`, 0.377179272101102}, {1.4107401179888055`, 0.35825959258702766`}, { 1.4164427505305075`, 0.35711494463689375`}, {1.4225301771707337`, 0.3558878608797813}, {1.4344941351914176`, 0.35346088174630497`}, {1.4480021488237615`, 0.3506863878022179}, {1.459616828385415, 0.3482978884958381}, { 1.4630990093043108`, 0.34756476518996804`}, {1.507756861303157, 0.33816269423128087`}, {1.5389136004840542`, 0.3314289679361315}}]}, "Charting`Private`Tag$1761#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwV1Hs4FHgXB/CZYedXNr1od7vaYV8ia5Xddost57wrLFGu8UbaPAmRWoQi lN5k6UIIm8xKbwm5ZZ6SXCoybrmteyiXNMSMGSZmZH/9cZ7zfP4953yPpsdx e08Wg8HwpvWp60WbDPVoakBCar1saYmgwOfVm+KcU/A/1VUan7xUWxGtoREL Y5EWPDn1ykReoVJ3Injd+Tb9A/XdoAuyHI00sOKGds9Q608fvrzklQmRM0GB E9TNAxkf5V1ZMPF9r/cbasnbPOvIxdswtjGwpIvab+fJY1JODlyz3ujZQF3S MZQtMc0DUxdlvyfUC77W/SKvAtAd4jTnU3OZ/bFSsyKIYLvH3aDe1ZSgPddV DGtFL27FUo+nWlRLfB6AH//A6pPU8YcX3cSyUogo54y5U7fLvJOEnEfw1SPd 5O+og198vWW6qAx4BidOqlGvu9bR8N60HGyujxTOfiSYFaPwb/K6EioSUS2f 2lc5Iqx5tgpYsxbmUdQdQ07qErNq4PaGGwRQ/zIlymEaPIMAuxm7L6mtEsfY M9xnMH7mC6uPiwQ3hFY7inyeg3ncgnsHdZVpiHBaVgNhSvvSw6hJ3xud9xw+ mMQ5OfPkBLurnpycHOdDQ1aCIOqTpzbWTBTVw2L/Urcl9Z6APQcFpo0g3R3y olNGMGV5Wcpbr5ewJOwR9C8QfBBiFRC4pgX08h86p1PfEGxbKw5vgW82NXP2 Ufu3qHnNmLVCXllmdd08Qc11f2yZ7WoD3ljGr+kfCMpW8nJO7GiHs95JiVbU I2dv2Qq57eCvHrx1XkqQ5xVxc9qnAxwapmPtqPf/sNV4SvY37MpqCZuaJVjG rI2I1OgB86f5g90zdP+ppXqD8T1wIOlS6BHqDQHylLiVvZC7q+pxr4jgpILU qay9F3zUzncxqbfv3GMcG9MPlVN1uz+fJnjmtcaVHbxB2Hlqy+blEwRvPf3z tLLBEISqayVvFhD8eWOScczhIXh393H5n+8IXpbkiE+3DkHnvD76jxPcmvC3 p0fua3AdLVgnHyUYWa9vZXhwGFqTMjmPhwhuGpvUzk0ehpjBgb1K1G2pvyho Nw6DuntLgvMgQS0vl/I1RiMgejFqNfmK4BfrVVsTxCPA3eDKO9pHMLvtx/cv a8cgvmz+99oOuv/VznaqseOga2+6Pr2J4P2C2D4/AwFENxtxh2tp3tQE8VaH BPADS1GgSH3ZVFn5eZAAxKXJjIIagkKuwxVj1gQI7fXvbH9GMJEff2R/zQSk VC+2VVTS+x2+IrJwew+coCxXg4cEMz9viFY1E0LwKklk/R2CJjvD3KLchXBA Z7m09P8EDe8fay8OFcKj/xyyvX6b4Jq2uLHGe0Kol5SY+d8imJBqbXlRRQT2 i9Na0psEo7WbVy71iUBXyff7h8kEvaA1bTJADOvDNt+QniXIyJor64sTgzlr N78kimCq4ob++mwx1PBZ//WPJFjHP/J1TqcYjHfbcwfCCeo6yrM8jSUgwKrm 3BCaV2+dvAHmLEy6HMj/4EfwaOKZiparc6B1LfaC2z6CrNmswcqcOSiaGlgx 6kgw3bmOUfB0DlK1DOd8Heg/2raXUyieA5ZD8epztgSf1qy3UfxWCnpG/bbf 2RDUOPfqX7oeUjB8x/6jy5KgvWXEHu1oKXiUzCw2WRAMUjRgXdX8AHeY98I+ M6F5GN00/OD+PKSo7XWz0SI45N6zrJo/D0eeGSlEfEPQofuiQdPIPCQdvfc8 T4PeZ8PbU6PrFmCmcMt1RXWCCkW3Vb6KWYCgbuewjC/pPMI1TUIOysCjzXlX EJtg9aq1aUYqi+C4/4S8dIyNSprndQa3M9DdY4dh3F9szA5SNzxkxsBt2cFp /plsvOByc5u6PQMvLmtMMM9gI+vqQwtXXwbWvuG7ylLZuPBx0qsrg4Fy70J9 u6tsnOh3uvuSxcTcZWm1+RFsDL8il1c1MtG2wrlTbz8bL6s06P31mwJyy2ce /LSCjR59jpUKjWxkHnzc9Mj6M/y95rzHcR0lfKuaWd0doIhFJ1Y4rLFUxtOB 7ueVLykg3DSazTBWwV85BRKXWBYaTf0W1bdXBR2Dm1ovhLFQ18Y35ombCiYF eHdqBbLwXKbcTjKpinXH7x0tdmHiCqmg7JhIFS+NNG72dGLiP2lVIek= "]], Line[{{4.498525251835517, 2.161981989158206}, {5.272131143113654, 1.851223221396275}, {5.2920932793337165`, 1.843179536806098}, { 5.331192688138356, 1.8261864598186284`}}], Line[CompressedData[" 1:eJwB0QIu/SFib1JlAgAAACwAAAACAAAAcWd52TNgFUAWQpXgPiH9P0rlan2S cRhA/Ed6NBNm9z9O5JArHh4aQJx2qGpm9/M/6sNigMitG0DGo5afNJPwPy4R 1h1DXx1AiOjCqali6T8KP/Vh3PMeQCxtAmw9w+E/R+1a9yJVIECoazy67DTS P9jCZAFaLCFAAPTfqC2xej+1iMReIPUhQIie0B0L3NC/ZgV14M7OIkAYrtlm PCfiv2Nye7UMmiNAvKY4o9uN678vZyvOTGEkQMLtNDyBh/K/zxIsC3U5JUB9 3Rw4cdb3v7uugpssAyZAOEYn/SPt/L97ASpQzN0mQEb4W4IISgHACtx6SG60 J0COegKFoyAEwOWmIZSffChAGMm0drPTBsCUKBkEuVUpQIptN8dNzgnAkJpm x2EgKkDAJB78T6EMwFqUXc4M5ypAlPyksWRvD8D4RKX5n74rQLhb0KnqQRHA 4+VCeMKHLECFR3Jpj7USwKI9MRvNYS1AlTk3CxlMFMCthXURZy0uQEr5VOu2 yhXAh1VjSwP1LkC4mqwlSkQXwDXcoamHzS9ATRTvyD/gGMCYKZutzUswQObm EfO0YhrAf8CNmEu5MEDJuv0uXwccwE0bVaXKJDFAhaEh0AamHcBBbsdbEYkx QNn19nkgKh/AnxxiJMz1MUCDD+7eF2ggwCTDp5ZOWzJAGXtlBKAtIcCQLcIq 0r4yQLFlcJqz7yHAZvME0ckqM0DW9kfEsMIiwGKx8iCJjzNApFK1UO2HI8Bs glP8SpEzQDlKoL1eiyPAdVO01wyTM0DRBKww0I4jwIj1dY6QljNAzQ0aKbOV I8CuOfn7l50zQO7b/mJ5oyPA+cH/1qarM0BFf2T4Br8jwJDSDI3ExzNAkgDC lSb2I8Cao21ohskzQDX7OcGY+SPAo3TOQ0jLM0CLTnjyCv0jwKwXaUvKzDNA AAAAAAAAJMBT00n5 "]]}, "Charting`Private`Tag$1761#5"], {}}, {{}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}}, \ {{}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, \ {}, {}, {}, {}, {}, {}, {}}}, {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVx3k41FsDwPEZKtdWURclZhJDQ8LRTcI5RZukRUq4LcK0yEWkKG1iPFS2 NCnJWpJ9eUtyDpFsY2tRpqgJ3SmFMWTpN9f7x/f5Pp+lHv/s8pKh0WgxM/3/ KWEec0w9b9tcVdExT/ejcG0n02Ev8wzMl3ho585Y+qLqMpMZBQ1twgR1M54b X16o0BUPW1bv8B2ZcQq5ypjNvAVzDqd0mvhT2Oin5zUpJxX6nlZVujjjD3Pv UtNv0yHb005dOGPdbPm/JqeyYKZj4eieAAr7WAedGGfkQMadpxmCGZe86s0c tX0Eq4dKlgWepPDkcQfBMKcAupq3ntQKpPA9uiBqfEMRbEwyTOiasV1LnN7Y 22LYndh6ISuIwl95m6pHj5bC1N85a8NPUTjG87e7eKoMuvyKqwkMpnDn1JHE IcYTeIDpvzL6DIVP1Wub/CyqgNpx91SLQii8OOFV06BtJaSWO1Z+DaWwBxvJ fuNg2H4pzv1qGIVlpkJaR88SyA/I2D55nsKvep21RjdUQxfKUObMRQqffqT4 ZORtDeQo8lJywylsH98/Z+Teczj10erSgQgKLzldvXv4aC2Mle/W0uNSmNgG D/2cqoP2VRF+fdEUluv+rD/IaIBOkywry0QKd5FnQd+/NsB9kbVxoUkUfpjN e/6tqBG+61WM4vMo7BjgeEBk2wzP0G125KRQOEm+ImmA0wqNNjb0mT6gcGmw fcBJjTaovvjHoPQhhe+IVi8Sn22Dq9Lw2Z48Cvu2qXJGNrRDB7f1jM4SCqve eSkz/LYD5h8Q/RFDKDw1tzzHz6oT2u017+p7TuEvFzN2DN3rhIpLspR31lO4 nBN29+fRV5A8WXLLjU9hV2Bu+WPqNVwlflCIPlA4rTHV/xvjHTxmkXJ9I0Xh UV4ZuyfmHbwuH5G9UFaKN3KahB0T7+Caloq2MTkp/i477lzR+R4af7i/blxF ii2sHS2jIgVwz2P5mgGWFLcVTMvo/+yBln9vs7+wW4pVofx+ZeNeWCt+Pxjt KsVrWYmWkZ698OqrXctyD0rxtdEccUh7LzxmbcHUPSHF5nGvvTxyP0GJGctD GiHF5xuN7E0PCGF5mdWzXVVS/KDof6zcG0Los71KK6FOijt462X1moVw7ZG0 U/3NUqzLcanUWPMFMhimX+u6pbhRNtyYtqAPhnFjM70npVjNulu19UU/TLz1 WD5Bi0byC6K6fYxF8Pht106WF42IVEUx9odE8PxDi+zkozSif8rexiBRBA2i nRlqvjRyz0oxTTghgq1jGkPLgmkkviHG27XuG1zf63YuOYpGTgmvD29yH4Rt OrS6HwU0kqrYdFllwxAc+N5kPE+GTmysQ90v7B+C1ZVtxSfk6ETga7jqZ/AQ LH44z7xTiU40OqL7mx8OwX43J40SdTqJ4zls4c4fhgwFA37dCjq5rMefK+0e hsmfF2iaudEJB7bf+h4ghj0vd+6TVtAJLX2sojtaDNX0p3gLqumEN2uJoDFT DLdaFPWtqKeTlw3e2jlvxFDHZ3VcYCedGOyeTveyHIWRFsdStnynk69H9B99 pEtgR9OcEWWGDDkWf66qLXYMpoeGSN5zZYhv33Jhaf4EvLlNJcDbR5YoLA3X 77GgIbjNYbaEN5tcm9/ETjsoi2yby8tdPsoRj+7dWLZ5DnrhXunwK0KB+NeF e/yjr4C4JV8DI7YokyI/JSeNLcrIp78nJ2hsHkkLPS4y2TsfZSdYXvM4o0Iu pU7vHP2ugrgvNB2U+1UJrbMXVYYsQDaR6r+8di4krEDv07vZf6Iwv53en3v/ JF8kN/coPlNDrAKDhox96sS+79i5eH8NxB1rD0mSaBDHL7GG2tqL0ZbY4XsT MYuJ6LnHhZd5mmhtsHeLtuISYqzyRsv2gBbafitQKy1XiyhAySGBWBsdxvx0 WTMG2TToOq7jzERa8x98tDvBJF01nnRXo6XIzu/xBiebpaSMW7ufKVmKanOD vT7QdYj37KBePl8H7WvMVHF7o0MOB4SWKSUvQ2dect+xUpaRlRxDvsMhXeRu 62R/8KAuaVU1Ugxao4d6Nt+XO2+uR57mX7ptJMtCU3Jeck8m9Ugonb2j+QML DeJvDq/bWURBELLZt1QfhWsaDazP0id92UsTU88aoPBUV8+cYwYk0WDRrCfO y5F1YcP2QbScxCZ71x9istHt1VZsTXk2cU38m680wEY1Dgbi0BY2+WWXNZFa ZYg0A2/QHqcbEmHf+tM1kUao/Ir2vqajRiTd2lSz5dAKFFg/vrti3QqSdyVI hbPCGG2y4gqCFY1JpPPhrbISYzSiPpu4tBuTVYK0nMiWlWi4tI+/8MFKwlt+ O69lqwlSWh4t3WJhQs6Tq7ytT0zQ1jhexHimCdmm6ZzVqGuK1ilf0iydZ0rW +da7qUSZovdzs9q3nTQlqUs8dJslpujOnb+uOfeYEt3n95Mc3czQ9bEQZws7 MxK7oobdUWWG8v6NFevdNyPe4lntDWyAskyXNV1UBcSjaIQZdR0gvSb1xrJT gPhccpq2jwNoh4RlF3QakCCn0rdKCQA9qsmoMg8BhCsJuhabBNAf7X2lJecA yV8zMXUzBSBhODe7KByQiWrpm+xcgNwLje/mxQMS26F0tbYeIDk/8DErH5Dk jBNHIhoASkqv8vIqBCQjkG+7uQkgf0HJoG4xIOVqsZNNfICsJd1URhkgAtcF RzpfA5Rwn8FKrwREX7jI9rMQIOUEd+7dRkBMSkO0M/sAslMLVdvfDIjlle4J rwGApj/Rs7T4gDjopxT+KwIo8sum53faAQk4ztQeHgYoL6F41u0uQM5aXZwo FgNk6DI/yfU9IFeUP78KlADEiXqtv1gACK8gI/rXL4B+195wuNUDSPqFWZyK SYDe8WJ7XD4BkrvTa/3ZaYDCfEYCNISAlOq80LKhAKrVfTqn6wsgVWLWhFQK UHy2KPlmPyD/ASzWdWM= "]]}, "Charting`Private`Tag$1937#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVz3s41GkfBnBMlFNrWDnlLMOQw/zawuJ5NpVWcSmpd62I1YyWbImyDq2U UysJaWwHx1jnaGrLG8+DUo45lRwqGdRKDEP8ZoZ55/3je93X57ruP+6vYeBv B4/LSElJZUru/3n7fKCcbdBN57hh/y490Qp62m+w/4jB7+DU+Q+FJhKLWxsv GhikgqRhKePtEm/MfHhP4U0mmIhvdPeS+Da+oi9rkAsag3SMYyW2nAtKF7Py QNeQZtE9id9uvLMmGiwEaVmPungSm5TIbxcI74KdxaJCx9UVFOoUeXJZvwx0 xnw0ypb4/sBY8aJLJXCainFfllgQsn90nlUDtik0GDHXVlC+9Gjq8u5aoMKq LhyTeFfXtS1fB+vAcJ9XF1O8gj6xXZsWT3DA+qjawhWJ04JWffnCB0DU12GU I0WifmFwNk//MVDe4ma8KE2is8/1bOZq68He64+KODIk0s4a6Pji8gRQS1e6 4ykkCqRDymcWAkezZE0dZUkkI4x+uRiLQeDKuwMWciQaGPPWXdzdBAYUi8xM 15MoqlLx8cJgM6i5ITfoLE8it8wpuYX8FtBuzqn2VSDR5qimQ/MnnoLZrGDb JEUSYZdzvDnhM3A1h2InUibR+pFx2hf9NhCr89otQo1Eb3BD5MynNpBicyVm 7lsSlZewWz7XtoPOyuQjZzeRyCPcw3/apRP4dgdRS7VIlCNfn/OR9RIcJi5f yTYgEeecW/gZzR4w5krTOmlEolvTO7T4sT1AMwJ4HjAhUViPKmthdy9o3buC Hc1IpHrrhcz8YB/o0dKqyrMhkXDjw7JTjv1Ab6Pe9VcMEk1cKPLk5fcDpdwm M43vSPSQdf7O3IkBsMtv5mCDPYl8iG0Os8JX4JjLeN11FxIVtOed/qw/BPbW bc87+xOJFtkP6O/ThoBnhYdGqS+J9rA6uH3kEIg7H7ln0p9EM5Rl7/r+YVC3 o7ztMpNEdk4eDqnJo0Dtp6MB0REk6qkRydDm3oNfdm178jlTshfI+ylbjQHY cp+9nEOi702zHZKDxkC7M51OvUmi9MUyfnTvGOh/ohVysohE2669Oh5Y8QGU NOr5tXNI9Ee7pZutPxc82u7cqj5Mor9r/zGtuM4F5brsHtE7EvWxd1K2dHLB sTOtl+e5JDJh/eeJpv0ECLbrVFo3S6J2yiUrKbVJYNVWZd8lI0CbnEZUX7ZO gbfLhx/NWQlQdU3qSKjVNJg4Umx36poATatOp7kFTINTtMTTN28IEO2sm7NZ 9jQwtU6/2HdbgPIdFQu45DQQPNthHVQuQJltaUyfZ5+Bxw/JKepPBegs9+q8 q+8XQDNWcK8hBShPseMidTcPdOWGWTw8KUTOTjG+8X48IPe8eIdPpBCNhll8 N3eOB5hT3gvycUKk2ffnVGc5D9zjqoempQnRNfb+H1NU5gFPZ9FJt1KILm7p 3igemQetFcfKQ78IEQv05s6E80FzeEv2/SgRkir8Wj/yJx8MKS/X37wgQux1 m0fbi/nAejRwMP2yCL1oY+qVveaD3OU7n67fEiGzQ6LC4w6LwJhqZUxrEqFP wbTKd9JLwFHlTLaX0ir6NTOusSfjK9Bw3YFQ+SoKmzTncqpJ0FlS1kpbL0Zj fkMbmtpI0Kbv+rBGTYy83qRYdU2QoCCYl+RiIEZ2HR9/n9QWAPVO8wfp9mJE qb2rsilZAAaUy0rrQsWIHWvofM5fCDbPXB21eCVGTWpaufYqqyBDI6Pb94gU VjC8RHtvJwWzbzV/PfmDNE5X6aAXHKNAh95EvTULCg4cOYQonXIwpEm8cyhB Fp9+dinwN5oCpDM8ta1kN+DaU0pemj8qw/D8aDorQQEXxIRM2xxRgTOeLj+V eyvjhDzRgcUZKvy9053vukEFS/WPwSfRarDu2IhDNouKTSOYUYfo6nCcW/hz 3Iwqnli6cVixYRMMW1UK23b0W+w2+Wtc5mlNmLPjmfnqvDr2mMiw0NPThsOy H+5lXdTA0y2B8S+qdKCRrHSb9aomtqK+1nXx14XH2LJyl3O1sQJYChjl68FD CvkK+Zs3Y9cvPstG3gbwTumj55uadfGb5iBpH0tDWKxm3p0XoI8fpDz1M1gy hA2qJUUeZwwwUzZyrLvbCFbZlOm83GOIfwmPeaD0lzHUeeuS0KFkhK1ZFt37 A0ygR/B7judLI/xS1VIx0n4LTGLuW2gqNMb/rU64aUkxhTCgoT0k2ATHSNM9 O9+aQve6D2dEzluwwmj03jAODX7j2ps4RzXFkyWG2XmxZlAzX0M0+9oUZ5tp rXvsbQ7pfY8muippOOMv5vMAAzo0ft/rVhJhhn2yj3YrfaTDNhv5W/V25nhl 110yr9ECHizZPluuTMfcyZ1RzcmW8DBz/O+4AToudLLV6QrYCh3ix8ItKy1w VWIklbXVCs6+NV6oi7TEyd6/7KMsWcHpDQXSgd9vxd+NFpQld1lD6tRn+gzV CrPNb1Z17bOB3cEb3OGwFf4DX2Hve2wDx7NPm566b43ddbzvtpvYwtvpl+QC dtngH8Ke/0xNtYWzKr/d/7fUBudtDjTpXLKF/VpzDmNqttikpTTH42cGhLPz cpwoW5yxtZne18iASeH/jGeN2GImf11vG52AK/QT+MMeBg6sXTBIvUrAtDN/ J8lXMHBogpfI7RoBeaWDHS8qGTjSizOolEVABTKBmlLNwClLkekZOQRkMt3v yNUxcLU9Kbxxm4AZRVUNlMcMTDaJX5dUELAzPk5trZWBM/qUrjx9TkBpeqg2 f5yB/yo6GZzURkC9rNGwugkGLorodtnbQcBtQ09bTk8x8MNNGYKObgLmnBOF 8f5l4FEfteD+VwT85Leu4wuPgWlcLZdxrqSv7JP7aY2BbTjResWTBGzutVsq lSKwQ+IIefwjAReOXznAkiHwftrte/9OE/B8zA3FKVkCh4cY6M3PE3Ct1yKR q0TgWMcLZB1f8m/qg4nCjQROVB4fiFgi4P5vOLsCVQjMrin6c2WFgBoy38h9 UCNwYfw6Vr2AgEnWIax8dQJXHDi+M1ZEwIDy79v8NQjMMWrVdV4j4IuD8Rb6 WgRu5JuSYjEBJzbYp7/TJvD/AOTYsuk= "]]}, "Charting`Private`Tag$1937#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVyXk81PkDx/Fh1FYiUnIb5RznzHRI+Hw2WUI2RbWyQjK6bUVC6RBZspI0 FQmlREorOcrng8q45ZYpaogG6/h+B8PIb35/vB+vx/Px1vE7ueuQNIVCyZLs /0274LeY4X/PNvGH+aaxDwR610pz2Us7B8I4E7cmJV74UH6FRosFf1r+LBBL LJ9U9GJZVxKY7fKKk6smUBq+rr2IdgesAqpr9SQ2GfNPWGCng539diF2En+W v/9T3JkJxFMTMYES62Yv3Tg79wh8+MNmb7LEx2yCj09r54CwrG39HyT+t63v IWmXB+K1jM0pXALNHnXhTbCfg5dcFUso8QMpXuy0fQE4sstqIVribQ039KY6 X4I9WhVRbRIPcRwqyMOFoAjyuYY1BIr3n/ci5l6B7As9dVckbp0LTB7XLgFV H3eucK0lUEi1lsVYQSko/eK5863Eajfb6kbt3gA1obsbq45AfnRIHWYjoJYe kMyqJ5D0XFgTGYEB7R+LzrcSt/V5aJL2FUAF/N7j2kCg0DzZksnOSuDZvdbo aiOBnJK+L558UAVe+Dw/TW8ikEZohfvE4XdgTy+41CExtjs7Pjb3HqjJ/D64 9SOBfun5ZjCqXQOK0vaNHmsjUBd+GzwyVAN4imu8HdsJ9DSbUzVcUAvcpZVT 6B0Ecj3lekBgVw9kCCdvaheBUpaWpgyym8CL2WrfxTwCFZ51OnVapRkoK2do qXwmUKpgkyoR0QxO7dF4YvGFQCeaV7In7T8C+Y0U3ZA+Aq1M5UpPdLaAvuSc 9l0DBJqTL8oJsm4F79weyN37TqD+S1k7xx+0AtqNMhXBIIGK2Bfujx1uA0F/ CHNTBQTyZK23+m+uHSjPRvXtHidQRm36X8Pa3SC1lucjO08gkvOK3hvfDf6z /+H//SeBfmPX8VtE3WDx19xLNRQSjVCnPUpbP4HoMgfZJzIksrRxtYqN4YGq F7WxH5aTqPm5WNpgrBf8+8nw/t9aJFoJlnrLmfUB6aBFI4M0Em3RT7aK8e8D Pvtnj+1YR6IEMocI+9gHrIeiVzAMSbT+Rvshv9yvYEs0V3Y/k0SRtSZOjAN8 4DQuTNniSKInBa/1c2/xAe/Zy3kNZxK1cLZS9er5YDLV8fViVxLpsve9Udnc D5hB6cbEbhLVUqPMKEoDIOmF9x4LHxIp2/SsbPrwHUR1n8+3CSNR/vPYnmNm AkA7M0h7VUgiwUpBvJOvAJwZCvvdr5hEBiFOtobJAsCtWEVd84ZED6xlM/gi AZCvXCZ9u4pESTXxAZ7vh4F+gnvqRAuJQvj/TDh4jYKeI6XrlQgSpcvWXVG0 HwdQLkG4ZrMQ2dqEe130HgfLNZLXldoIEe+E8Yaxs+OgRF2V5r9ViFRa4r7X Px0HycbWCU3OQnSD47L9msIE8CpgX5Y5IERX9BrlF3omQEfVrh9D0ULEBh/v jJwigL6pqDqPJ0SUzKnSnjgCZH96rMv4JkQcGQ1e7UMCcNNpO94OChG3JkAr p4MAaq0Zy0YnhcjQXZx5yIoEirfUQp8unUJDgQZ5X6SEQJOpopFuOYWOJJ0v b06cAqEu5Q6RqVNIWpjZi3KmwNEtzyKlsqbQ3b1cyvPKKTBu+6k2LmcK1Woo 2V0np0D9w2NZxUVTyPjxk+rt+6bBDxs/zumPU2ikrLW5UnsGnKYjn6Al0+jE gBG/MF8ENPdU7bgZMY36vLuXVNSIQGjZuXwUNY12d10za+gXgZAdh7uF8dPI sm7w3IDaLNjJr0iJTJtG1IJHCsoxs+ByV8nwEjSNOBE6tmcPzIHSr+aNJHUG VSip3tmsMA/877LTbG/NoGU6UQa9lhR4kVN1YbhdhLjWN8wv2FNgtnl3d1+v CEXvu79JcxcFRh/KXNT7Q4SkE4sd9h+lwAgrpWbhvAjN/hxhd6ZR4Iwxff11 /Vk0zPN40iQtBQOfJtoePDeL6jkGRrheCr65Wj/zVG8OJSjU0TN8qHDIYdPx KI4YlWzSfOV6ggplxC9PP38kRv3eJ4E4nArvea5P7X8pRlueKbnvvU2F6ht9 nY43iNHQdq/zco1U2Lyi+tO09DyyuzLadG6LDPQJePtw7OQ8mhGuCN6lvAj+ tronYY/bT+TX446o9YthzK5RfpYKBf/1PsrvpMEyaNagF/FeVxoXBC3frbJd Dt7foJ1Ybi+DM8KPCiz2KkCXNy2stOrF+HK62I0cUYQaDt0HH9svxZTWPvgm TAlKHQwx2tQmi/XPBIS601fDCHlqt3OhPO4X3t4j+1YZvvIZ32FZpoCdBo6c T/pLBSoIrtU4bV2JXfsTjbW01OCq14k1Iq4SFlT5XeQ+U4fZ1Wl5LKvV2Eyx Q9PugCZs/uwetdCojJcBoS+P0ILlgh6+mYsKdhj1nF7rQYPWptTcX0dUcVel v5SniQ4sxtsfu8Wo41fX3nnThDowJWqeXbZEEwcsCu5rbFwLmdxHcv55Wvjg qfBXy++ug6a+nYJWNRo2Zxs3uvjqQrfwc+vMeTTctNJENnizHkwxigyPytfB ZfmX75lQ9eF/GnFl206vxeFS9J31n/Vhpb/6JqHjOryMF+Z4otAAjuw1tdNT 18UD2TrJ6RGGMC/3nuzlXl2cbKgqU+JhBIMMjmZXFurhxLsB1b40OhxzjlRS jtDHnsl/Ni4fpMNQejG9EBjgmW2PROnlxjCPaqVjscoQ8we2hlbGmMDT1s7G Dz4Z4kwbhnqDrym8M/TX2dECI/zsarAi29QMWrbHdtDC6TjG46AzVWgGxxlZ lKvQGG/gZeTENJjDmyrM6HfKJphjdO9Zg7MFFD8Jju/6YoIj8XWOc4kFLK7t 2cd9bYp3qHs8qtVlwMnNW5z74s3wryeq9yvGMqBb8Uw82m2O0zX8dOuFDLhN NKb6drUF1q16nOK6nwlL6saXhIdZ4ETTSnpLORMeeHnp62+fLXAAIfOxhs6C r9sdIy46MrBfwSQt9h8WPLjN4k5KHgMfu7xb7HRD8geuSvLIZ+Dg3YWdy2+y YHL833GrXjDwNWFwQmIKC97XN7mY9C8D528Wzd1OY8GoCRCUUMrAooqFjuxc FlSLjjoazWXgxJbl199Vs+BJY8+GkH4Gvpt1PDC6hgVHF5l0bfjOwFlnGu0c 61hQNe1vPjnIwEXKibN1jSzo9+fo3KlhBuZ5KgW2trNgYN421slJBjbgq9p9 47PgmVHlN2wKE1sUhmk9HGDBjaEZTfrSTGx1tUd0aJAFPTcW8QeoTOxikPbi h4AFr+Wdl/P/hYlPHaVpTUywYNzai2wfeSaOsL4kekmwYMePvZHaCkx8Ve5b 2xkhC+Y8Kr79RZGJOc+z4mZmWDDTa1Wt12omzrwowy6dZUHukhX96muYONft 0NYIMQtGyCb9/KTCxIVrP2ja/mRBH5s01btqTFxO6IsWFljQ7KzFhj80mPh/ nYtHVQ== "]]}, "Charting`Private`Tag$1937#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0nk01O8XB/CxRbYspZJlSIRMGC0Uz1NIJCK+FUrWocVX+iKlUip8oy9S 2XeiInuRPB9LWbPLkpDlM2MMBmPffvP74zn3vM49597nnvOWc/zb0oWTQCC0 st//a8IDxy0aznF6MmsPXTVv46img2h6gegHrFrK6GS2N79XBBKJIQDWWvge ZVs4siSPvycSHP1sJAjZTsDCZHmIMeDupZRsE7YPTDu/2KQkAUVDF/OLbP8W TtxY604Flktx625sK2RuPbyymgH4OsyL/Nm+oet9c1E2G1jtCrv9ku3CzqF0 lv4HYDXlcCyH7ZXrpv0zlI/A4MqAQAPbyRz9IYuG+eA/q+1j42wb/IjYt9Bd AEaTd9YK/oMjWrRRJcu9CBgsrOdrsh3qvG43t1oM5CcGMmzZ7lh1i2LKloKB B0tZJWz71MqoT+eXgexy9880tiVfdjZO6pcD4Z5TbdLeOHJUgVwTFASC8xpk I9jmXL3bwvLHQMCBUusWtjuHrKVZhpVAkTvtlYgPju58ECid7a4CfjuEtOLZ NonEt8wmV4MCzdFInG2pO5VWM+41gO+28xrZF0eYvi9zevUbmFqTZ3azzftr WGlSth787rC6auCHox7sqzeDVg/anRUk37L9LjO6eiK/AZgWnh8SvIsjMy8z e7p+EyiabY38w/brrWWvqZQWUPXvhzcf/XFU5GvidXtXK+gz6viich9H8fQj u+f8W0Gowr9TWWx7tIpRZg3bAKVwNCD3AY7E4us4Z7rbAeGNveNAAI5WhUuy PY93gAEHQW6vRzgafZR2jpncASL5WCV8j3FUQnmQOO3eCZLRpAUIxJENWUtn arULvAg8Q2l7iqOUhqRbE7K9IC9B4EbIcxyxootVBkN7gchsEo99KI5OURpH 2pd7wX8xkiePhuGIwbVoXdbRB3aW6mfOv8DRUV0znZCgfuBs/lgtPhJHrR/X OJWmB8Gdlftt0bHs/4KtV4RIQyC4VZWeFYejY4pROkHOQ8B6cT2vPB5HL1jZ c3fbhsB2Iz3T6UQcaUV0uTi+/wN8ssRaA9Jw9LDhgImG/Qhw19L9YZ2Do6z8 T4rvX40AYHlTLSUXR+3RJ7n2NY2AeEdkzPzIzi/lYvku7VHQFviuLKYARw1c T0gE8TFgtuEYs/szjiR0f4m1fMfB6ZIBjeZqHOV+DPl1g0QHOyaKU8QGcEQX o4eaONCBoNZXv9JBHCn5mOjtj6ID3zhiodMfdr6PC6SMLNPB9pMWZlWjOIqs D3W1+TYBwNBBw6wJdl5H/psxspsEfeo7ybtWcJQk0BgoasgE534L3wvfTUV6 uvfsAq4wQXxQdHXGHirq91A9NO3LBO6vXkdVSFPRrvbneNM7Joj8c6trRY6K IqJNjYNFZoDnzy/LCSpUFLivWXjz1wzgDbYXCj9ORRTQFsPwmgPCA7njak5U REhdKPv1fA4Ei+pbv3Ohomhuqf6G9Dngc4jfWsWNiurqXWWyf86Bsr6InYdu UtF+q7VUFx0WeE4p6PL2pSKam9KHAY55sONB4tuMUCq6Fnm/ojV8AUSX135s KKUizvnUQZS9ALbb7aKWl1NR7IU6wseqBfDKx45egKioQUpcP4y1AHIkHe3e faMi1bdZtcYXF8EN++sKtW1UxPjS0VoluwROvbu+XkqnIo8x5ZGi3GWgd9Vs /0tZGhq60stXWb8Mbtp2B5zdS0Pne4JJP0aXAT1YO0lQiYaONlL9xiRXQHDi Vu0YEg1x5WeISAStgBqnI5oMXRqK9pfT87VfBerRfe33LtNQpfjuGG2RdSDx 86jThWQa0gqrqzBUXQcmn/Za56XTUOaWO6MWp9YB/vmtp3A2DYUu/zx4zX8d aEYJaPbl09Bfg1HfY2nrYI/Ffr28ahqivxNhrWIbYIpxOOQSjYb45Z4oDR4l QLinGZQdGkd1xyMOPjAkwGdeFFt3nXH07GLiEWlLArQcqbCVBuOIM/yzke11 ArQIerQz6vQ4WtlgULoTCHCFS+Rnue04mui3zmrh5IC5hcxzG4/HUVO0kjLW xAFDP+jxX+oaR/8WaWnY93LAa2tOx973jaPTrSe0N8Y44CzYgjiHxlENr53x 8U0O2BB8u6mSPo7KfcLdP2twQs3adEoAgY5yrJaz815zQtw6dZxTjY5eiDSq pFzlgnYy8TpH/6Wj0iPSxWYeXDDIs9byazgdjV75G6zd44Ie9pZ6xm/o6FiO uNWFN1xwta4i3TudjmjGdveFmrngNsM8AzlER/qBky1+x7jh6e/mEXXzdLQ0 v83bUoIHRh9UCXngNoH2Sjtubu7lgX01aRW0vyeQmUFRSI4GD7zWtnnPxncC ZUReTOQ7ywNL2j0yrZ5NIMuDKbUVgTzwZ0KPU3r6BMpx05RUneGBx/ls/pQM TyDHX1aIq2kLbN3juKfTmYH44/7cvNW7Bdr5GYhvv8lABTYeUoP4Flhl6i5q 581AXH1BfmUcvJCWvKrN/YyB0nvKyLeO8MK0e4vTxW8ZCO8iZg2k8kL68RuJ 6QwGutbKCC/144PKZz+9/O0/iW59e+L4txI/HFbSPar/eQrJjJ7askDmh8Uq hGGeqinUyLn1nT/kh1Lj3wTbGqfQPhg2E3KJH/p/Et8IGJxCvWWvAtKf80PX kCfrRrzT6EReZmLvNLvP7UfzvTiNROPq+vQ/C0CsW3P8G4GJ8j0Fz+8yFoJk JuHP4icmaooV98v5SwjOuBQYPa1gIrxGMumksxB04H+StusbE0nuVp648VAI up+qPmPRzkRPKg0DK4uF4IK7bzf/JBP9Jfaw8Jq8MGTd/JKWuncGrRTOiH9d FYYSuZSrga9mUMq963T1CyKQUyvn8GroLFLHti4FXRaBrPfDcfFRswjjzuIZ dBKB2wWBnEH8LBoKGyWGeYpAT9exmIz3s0gm+fKF8RARuEBtSy5omEWxNeY1 KeUicEVddmpx6xyKFNJKFJMXhayBI7anwubQ46Q1CxZDFA7kNhxOfstC59Q/ 31KdE4XXOqPmC/NYSKbydoTjsijMJBRbNpeyUNkwvbWVRwxGSpfNSDSx0Oy+ XvMcGTHIj/S2LDFZyPFD8VnXc2JQsFX79eqxeXSi1MO4p1AMum7ONuzsnkeE jiFYflcc5uadYmyTX0SK/7jesVLZAU1PGvGsWKyg0fk3fwl8lYBiaSpHtGvW kcnYtfuRt3bBsemYwK4NAmY2Gq4qIyMJobJXgK0JF0avdgyoy9kDiyIbi1/G 8GAk0Z/S+vbSUFhflzZ+gg/jB/MO/XMy8AV9tb+tjx8zmrRZlLcmwheTm8D5 mxDWU+XMYXNADmYFoTfltiJYcXDNFeK8HJQ0beflrRbFXHm8h5qb5aFzqOyg lrk45uR1r1gwdi+8H3KHj/R9O3aQotps6qAATx+S3FmgLYG1iB0Q8NbeBxk1 DT9sW3diX3Ifxx3gUoSfTGWJBWa7sXscKueafitCnSvbqe+nJTH+/runPYqU 4Mh8kyR8LoWNZcpFJfnvhxsTulfaBWWwqP27uUutlWFRS4dzUJ4sFh7rWutA VIELIRZ3muKJmE3U5WZBqgokulh8X70shy0ZZCwnVajCKSu9MBl1eWxk7OSd qqADkKEoNB/DksdSdTX2/HBQg5SztcocDXuxnKfeohQ1EtQJ1/4RH6GABVk7 neGaJ8HRmsWl19b7sEP9KdlBPw7C7Wm/B7xUFLFo5bicH2fU4daWkleXZhSx h1hY9JlSdaiRF3yYWK+End1jndGgoAFzfpAzSQn7sRMetbaiIRpwBzGPW9VJ GUuSclRomteAUZod3Vw6KphC9dvXZraa8KprSM9XTlUsXK1Kpb1CE16W4q3O qFXFXOe42+pVyNBE/Hy2W8IBzDF/lhjyHxkO25VErjmrYTcen18ziSBD3OHy vK+bGuZ9vqhb8CUZVl9fuzR3XQ0Lnvd+Ef6aDD3rZZXpXmpYrvby6psEMiRe oQ10B6hhy5WbPzPfk2HrE+rbwng1LLxdMKymlj2fb+TdjU41LDbtptuzejLU cNE+Q+tWw9L+adY/3UiGdTpek06/1LASifCVxmYyXCoKPmI7rIb124i7dXSR 4dr7w8PGTDVMaWS3/vAIGWp28EQoCZIw9aK7MuljZJi8ecg8bRsJ03n6a9mF SoYGVnrbZMVJmKlSQt44nQwlGJ1REpIkzOs6UWZmhgw3ZflKePaTMP/jj5YL 5tj7uqiPH6mSsKdCw53/zJNh+NtYi3USCYv+mPZ8aYkMm6V8WaxDJCw1gJtS tkKGKCCpzlObhL23cDnpv8a+LyA6kXGchBXJf5fW2yBDsQcOPm6QhFXMKS5v bpKhT++y+ag+CfsfT73FQQ== "]]}, "Charting`Private`Tag$1937#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0nk4lOsfBnAMKlSWOBqDGTOSJUvjKKTnQbIcaUMdOkSWVpUWlOqkRUpi chBCIqSyhKJ4XqHs+/LOmLKNbSzR2Kl+7++P7/W9Pv/d93XdNM+zB7xFhISE Bon7/3963VPcwCthJ0x+aHf/BY4q26j2h6hBgJST2/F///5cdotKDQNFd6QD wgmvYxXlSuAsUBz2WvcR4afYQ1Ux6hPw0vveCouwzneviN++ycBrdWpvLOGv 65J+rXSlAtH0Zc5TwowXa4yWltPBSH7MWBrh02aXzsyrZoFXExdlXxN+296b NmP5Cmx1ittbRHjplD132jcHpGwhPccIpwhzw+at8sDh3++k6gnvaohSn+vK B1KxxeE44ZE46/KZEwUgT0ySPkQ43OvnEcFyIbibktM0Q7ht+Xj0lGoxMBQT Pi2fgaPLX1T0v+eVgLVNha4ahMmP2+smLD8ChaoGDxPCnlqQNOaLgIW6Sd4x wiLLV5pmgjEgnh+3FES4vddJecaqHMBcP5cowoGvJIt/dH0CXkZx/1QQtmMN if9IqQDjpAWhb4QpgeWO0ycqgV7jcMkiYcwyYOr7chXA2ln+hpk4WtXdrzGh WgOyxIemiwjjWOml8ZEaULPtsR2H8MsXcRVjebXg0/51Jb8IO/g7uPMt64GN PeurXRaOYtaUxAz7NoGSPO62KcIFAXb+FxSbwVSyiA3lJY4S+ds2CoKbgV+o 1Vlbwn7Nsr4/rFrA/QEHUgZh2cRqkemuVpBm9c7ibDaOltcVZZ3b0QaOsyTW phHm3Xy+byqlDRxR7J5kEy7yvZ70/UQ7yJfSXLR5hSMXpqHJ5HIHmPx7RdPw NY6e1SafH1NlgxeeN9eAHBzNxBVq9YSzwZqWQpsHhHf71g20LrJB7tbQFpzw OGneqaSNA/SGXbCAXBxtN3MwCQvlAgraL1+Vh6PmnBURje89YPmmQv7TAiIv WOO2VrcXeOmdi/lF2HRTtEmoVy+Y7FyqOlqIo4iZLMGVll4w5yC/SrMIR4ZR Hd6e2X2AgT3eUPMORzdqdewM3AeAxL6nAdYfcJSZ925T9n8DgKrMVC4l3Bpn QVKvHwB1K5PrDT8S+/U9/FHRmAemnh77ql6Ko1rSbV0huUEgm0ilbEQ4UjDr lm36PATar+nZ7qzA0ZucsO7TunxgLG0UeLseR3xZfridBx/omzme3diAI43L djs3R/NBhcn+hzmEU3ZIPhtY5AMJ5Zs7expxxKoJ93GpGgOFmctB9i3EXgce TVsfmQC8uxcD3TpxlCxZd0vGagrgzQ4fPfpwtNPs6pF/3aaAc7l7j1I/jrh+ 2n9+D5gCXom5ul2EFVsfDNW/nAIqwm0H9vNwFBVnb3tPehqsvPMvOjiMo1vq jet+d08DftKoQtQEjnxBy5NxfwFwZ3Ozvy/hSCh1rqT7gQDwObYH6pZxFCdK 4damCYCu7mvVzBUcVdf4qGR1CoDEWaa+9y8cbXZcSfU2mQENvw7pTgiz0chx jVffhGfBJ6y52XANG51kXStrjpwDoot2e9IU2UhkNrUHZc2Bz3Rjy/SNbBR/ qFoo59McSHKO980gs1EtRc7y4cwcyEwo2ZFDYSPtjMwvtofnQav2C9UGKhuN f2hr/qS6AF4md4pYaLKR36DmQMGbRSDWaKMua8pGvW7s1eU1i6Dg5rlbB3aw 0UH8nm4DbxF0JnTtjTZjo+11w0GD5CUgfWLYkALZiJSXLq0QugRetSETMys2 igum7QxwXwbc2qDwyr1sVC638Ymx9E9Aca0gj3mzkQTttkbPdiF4WdackhvD RtU7ovSuWwnB/rANLGYcG909nLRN+YAQVPz2t/v7J0TfyPfWrqeEYBHsEf6c yEZLv8Z9u54KwTeXz/lPp7LRGNcps0lEGEr+GHcPy2Gj+jgNTaxeGEpZjl7E atgoQrpO69lRErzcyoHeIhxUvE250MGPBPsrdsidFOUgnttZsHKVBE++FUo8 J85Bpq/lHA/FkqCMsWtbiAQHjdgeuba2kQR5E8bjH2Q5yPLWRFOQqSiMNOp2 v0nnoIXZ9ZcOKIjBCHGWmdtuDvLsdkSkenHojJ7nhkVxkERC35nzbHE4zv2x e+4xB+W7+FF6hsRhd3BIvlcMB5E4oUElwqugVtozKesEDkrDS5jnt62CgTlo gJbOQUMd1MxvqavgqrfruvSLOehk83hkcdBq6DaYVF3cz0Hnq257ntWQgCHQ 0valaTfKOyd1UNF2LTSVrVEiLXSjZ1dP8fUPSUPrt9kjIqNcFJK8sn9mXAa2 cRqWk6a/IqG2Xvjxihy8w7PvUKX2oE0XfQIdteThEadAmev7ehFvNtZZslQB 7jv2o+MRvQ+lmjMvfK1QgC35TnF+Gn3I/WHjo5xaBShvXrdqn3Yf4jDEag7i CnDXG485MrMPtRz0N00UKECFioE9LRZ9qCzPnrpF6w84qpVQW+7Zh2LPCPMd Yv+A1y9ksMrT+pDd4MlrrPOK8IOAV4cZ9KPd1+ivdgUqwkiarZ21UT+ykOdy 5q4rwmrNL1PNJv3IxGrPdtdwRXiS6oZNWPYjrXQ9AT1DEf7nlZ6/x7kfSXrP HC/kKsLxxliDrKv9qJ53zRG33giTlY/+11fdjxx4kdoqKmR4NntGYvHMAKrX 5rUfYZDh4MKaXSIXBtBfF7ZdT9Aiw8/uct/WBQ4gG5FvzYrbyJAX9Q5sDRlA FlTty3L7yNC8pUI0NWYA/XmkClsdQoY2N+WWNLABRGlfdBIMkuHdqfbtffI8 xK/w/Lf6tRKMv6Gx8Kaeh1Sj8JMRBUowZO23pM1tPOTo5uDk+EEJOkcZ0TLY PFS2YKzVW60EM1Rma/KHeIi1RaZ9fkAJpolnMMSEB5FpLNLQIFOgiVJy+xOj QRR+ktJ05y4Fqng+eJ2aPoh0ZTqVLd2Vod/veVOz6CE09HAo5D9vZSg1yLwd njCEnkrMDw+fUoZvpBM39KUOISlRxfzwQGX4eX+EanzeEOLP/b27M0oZ6sht cLFvGkLp3K9+JyqVobBllEOh5DCiZA6iR5oqsEjM5WjxvWEkAWY9uAIVyOeV 98dGj6BA882ri5ZUYPOpoF3kpBE0ZOn65pGwKnxRWWydljGCPtmUL1msV4UR t2UcmkpG0JUDDx9naanCsvCxjSF9I2jMW73qsocqpEaPlR7VH0X14U6bZZpU oYm6SBWzfRRZT7jMqzlRoc/jj70Nf46hpA232m4cpkLWDXsNU/MxNGOancN1 pcLM3hlWnv0YSrm/7BvjSYXP4dx88bExtKSRiK85R4XisccbjVlj6JXn1+Kp +1To9+u7z8rUGJLG3YPLMCo8Qy9prSgcR/gnL2EXHRqcKT1uRHabRFPmHPI1 PRrc/bUyT+XUJFpVvtcwZSsNenctf9MJnERGyMR3aDsNSku0nvBhTaLoD9IN /lY06MjV/unwZRLtLfgY98CNBqP4H1eWt35Hn9M36JdG0uCP/TY7l1ZPocJ7 lW7UWRos2vcxaGx+CmXa1SmGLtBgagnNyldoGsVLtbZOLNPgq+QDZaOrp9G/ kT27P4iowYDWB7Ui5GlkH7ek6yytBuPN5Evv7JhG/Rn6vx9oq0H4MTWuNWQa rfuSmDzvoQaZq2XWpW34gXzELvU2NqpBzq850tIeASKr1nQtt6hBVlgqJeqQ ADVuV27a3KEGj+791qnrIUBGp6tKQ7rVIGPRwuT6RQESb5NPMBpRgzHS/qQz CQKUnlLklCRMhy329M/hfAHimS7UnjGkw4LsQ7aDD2fQMf+rhVLxdHg30Ur5 1Ogs0vPVbrT3YEDyFnppxuACapLVkbxkrA4VRHb/DEheQR/ehCTokDbB4sob 69/vEsKuCmvtq/+6Cbr0uBpmx4tgEtwrNn4FGrAdlCxFyYthgy9o0cnBm6F/ yjmGc9gqLHrzRtFiJ024dKOfXLFfAouM9/niQdWCwYdzLbtF1mIu0f80Sg1r wfdWejFR79djC7vSF5PLtOHbhsYF3hEZbGDQIvBTqA68eKn5H7FaWSzVzECp wWMLnPWK8/Zx3YC9vnNJxneLLtxtZJ4X3CmPhTod+4s0qwstXP14gXv+wP7k PssKbdCDZXTVUMdhRSxOM+F1w1/68MiEztje42TsBvYw7q9ifXigbc+TCkkK tkfJKb2WYQCB6xT/VpYyZu73xVUmzAAKVWuGz+moYskUT0b9rAEsjZ0x33GC ijEqMmIcXLdCPvNCWqQuDYvc8kmrtWwrpJzfln11iob5CERbarSYsN/Y87lT hRrmmfeDGvaICYMlvGoC7tGx0yEHV+yimLBsh3P9yAM6dulgQZfUYyaM9q3p +PsRHbs3eykiMoYJI46qr5jG0LE3xovLsU+ZkOJ3KEYojY4tlv/ufJHNhB2s Lz/vIzoW2Sr1sPILE6Zoe4ekzdGx+Odnjt+tYUJlFYO9Ckt07PnFRkubOiZM 5P+hdu8nHStSiFyqa2RCFq7JOSXKwLgucsfbOphQa2TNY6YsA9MY2GjZP8CE Eg6K6pVbGJh+wRWVtEEmrLfWOGBkwMBM7nQveg8zYaQS7U6mIQOz13iaO8pn Qm50zUq4KQPzP0VVmZ5mQkW5xK3OtgwseMfNxXwBE4puyI2otmdgd9b2t1+c ZcKYjNgpk30MLC7n+YOFBSKfeGeV6iEGlvqvqG/JEhO+UNAwZrkwsOz93hbB K0wYYgHzRd0YWIHaZ+Wdv5hQIU/FIMCDgZUJNi3+/s2Eag9Q4agXA/sfRNRj dA== "]]}, "Charting`Private`Tag$1937#5"]}}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {Automatic, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"E", None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {All, {-10, 5}}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, {Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Right, Top}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.770789779060873*^9, 3.770789790256908*^9}, 3.783833770564898*^9}, CellLabel->"Out[11]=",ExpressionUUID->"acd72116-bdea-4f1b-9f9e-26c8407d320e"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Correlation energy", "Subsection", CellChangeTimes->{{3.770789550727325*^9, 3.770789554192442*^9}},ExpressionUUID->"0862c07f-daa4-4812-932b-\ 3ce330901d36"], Cell["\<\ This is the good, usual definition of the correlation energy.\ \>", "Text", CellChangeTimes->{{3.7707898207170753`*^9, 3.7707898322370462`*^9}},ExpressionUUID->"1a3a041f-de38-457a-87bb-\ 117432cae34a"], Cell[BoxData[ RowBox[{ SubscriptBox["E", "c"], "=", RowBox[{"E", "-", SuperscriptBox["E", "HF"]}]}]], "Input", CellChangeTimes->{{3.77078983576519*^9, 3.770789849358802*^9}, { 3.771001320212771*^9, 3.771001323092678*^9}},ExpressionUUID->"b51e004f-dc0f-43f7-b593-\ 78f2b9132979"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], "-", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}], "+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], "\[CapitalDelta]n"}]}], ")"}], "2"]}]]}], "/.", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "\[CapitalDelta]v"}], "-", RowBox[{"U", " ", "\[CapitalDelta]n"}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", RowBox[{"\[CapitalDelta]n", "/", "2"}]}]}], ")"}], "2"]}]]]}], ",", "\[CapitalDelta]n"}], "]"}], "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.770789565059409*^9, 3.770789648843005*^9}, { 3.7707896878322563`*^9, 3.77078968806187*^9}, {3.770789799121162*^9, 3.770789805779669*^9}}, CellLabel-> "In[147]:=",ExpressionUUID->"bda7b5be-1178-40e5-a42d-56cdb2173a50"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwt1nc8lf0bwPFjPqJkRdmr7KgkUd13VnbISEmIzGxFUacISVHZskrFk0Jo GNfXyk6yHqRpJAlZWeV37vv8/uH1fn2u6/u9zzkvQ8LJx8KFkUKhKNC+EN/9 2471OIirYtTVMb3eM4HIQfKKiY14CLbj4FhaCM2qvMezBMWiMbZ1a5ohXoGI 98pIQs/4bcy/R7kwxiMQ/XG95bO1Nw17bbi7aatrIFKccr655pqFUVYYMxuc A1F05HvFIv1cLKDNr+m+fSCalZ/151jLxbo7b4zePkFzXlmqfeUjrG65a+3L 0UBkte5gZ7DjYyw78GTcHotA5MngdqItqhAbz4xzczcIREkbz+OhW4sx4YW1 tWqtQGTxizPqr3EJFjHd/PbwnkA0lnKoZs69FKMKFOgsqgSiWOc/drMrZRhl f5mnpUwgOr075Kvk1ldYwoa5ml7uQKTE2LShAZVjdcWh8vdYApHgne7Wn9qV GNVSSfDXUgDqrcxF3bLVmMrmrsLR3gBkFbrl9FxoNWZxI3NltCMAdX+2EpnT rcGoDiVzEzUBSGTZtnC4qQabbB+Mcn0RgHYLSBlQbOowLfnhcx7JAag8OMq7 OLYO45bm6P52OwCZobi0Q1vrMb3yewlFVwNQWmipNg9HA2ZqGxoVZhuA/nn/ VeanWDNGGV+ySGUPQH3VVUETY80YNSq5QHjeH02frf1pYdSCXYxpGLIc90fR memTv1zasPFD5jccn/gjQw1f7ZwJmo8p2Ahn+CO+/SmZal/fYFrMdpF+l/wR 5cgOgXMWb7FhIVxk3sIf/R6Z33Xgdyc2m0aV3uzrh67m1t07tq8LW7Yp2+pk 54eOrp7/szunC1t/PfqXDuaHBLZYpE25d2N2zuv6rJn90DnDR0hOowdL2OQU bfXaFylM31gqKu7BgkbbBuRzfFHH+Mtp9z89WCvPmQHNGF8kgFUJ8JT3YvtT 7+5yM/VFOS1Zfj/E+jFKTERxqIAPmkspk/8US7OSb82VDm+k59o61LlEc09h zvZr3miC6bdVedcARqHUqSctnUEi5rXVvlcGsT39oq/aBrzQlxP//lvWPojN vrOdy3jkhYLydw90TX3ENK/f26Wx1xPpNYw0eZh8wk5f3VNqseyBvjePmYfy fsbE543Pd7h5oKcjxZrVl4cwgWgRhVdfXdBGaZYdnXeHsH02e/5Rq3ZBnSla TFvbhmj3f3zPHeGC1B5POwVoDGOfXptaaCw5I/b4X8z7YRhbec11wMPaGbUw RWyn8I5glMUPpc9+nkL8+9/zvG0YxShsWt+Mxh1Ru7ysS1XDd2w3c0F0XtAJ pLHp+5uzEuPYphpDi+VSO2QofUZnzHEc82L2eB282w5ZKpW943Yaxw6c4Y3f RvPM6x3/cgyPY5/Tfva/3X8cHRPOsTyv+AOLWcvhGXxxDN1ujj197PUPjDIY 1smabYsMi2wiN7BNYA+zvqoxbbdF5v6je5D8BNYbs0m+bOYoOjsU9+uQ3U+M 0rTHwHfMGkV4DXv2xf7E1D2q2BpSrdFUvpklUy2t5024P9SxRm6+3C9AZhKj DGvK9eRaoWN/bofunqV537LBlK8lyuJoDefWncYoXEz2j9UskEf1eTuq/TSW tP/AUMSsORr0Vtg9dY7WFzMVtIvNkU+oyaX//p3Ghr2ObjJWNke3UowNorl+ YZR4ZoH1amYofGs759p7mqlCFSy9xkjS5uK3M/M0fx7uOulhjKqjt1cPcs5g lOAYCk4xRtKqw7nPxGYwtYi+R2EVRmhg9Y5w+cEZTJOl7+oVFSPErxSlK5A0 gxlX75u6OGqANOdvdgc9msFu8cdOxd4zQDK39SPnRWexlruHlGR/H0KblYV+ dlvOYhx+7JHn1Q6hCZmnJhahs9jZNV3+sHw9xPT7tznhVabfrIRTmIUHW3Jn aa9/2mxGUg81NZ8Wze+lWdyp7uFlXSRruXrPRWMOoxzN7vhirIPsnI9v13KY wyYnR21CBrXRNHOcbZ3nHKZYwvriQbk2iv54S0YykzafIjBZLaeNFD1NpRrf zWEbZWtmetO10M6Oc7GOLPPY0NVOZnZOLURtNX7zRnCeNu+fj/ccRJu3+09W 7qKZqughmXAQ6c9WqqS70BzvkPia7yDKD7Mos2mmWfYeriiBI4/bYdARv4BR sqnvDRr3oUtz9z6h/AWMr7ar5cDJfSjNpolSWEvrRc5GNYuaqEWYV/vGHM3V bN9tVDSRwqO8RoOjv2mv/+Y7peK9KG3Dqujb07+xqE7pgLMX9iI7r9l1sjG0 nn3rzKZldRS744Axa+Vv4rweL311JFjCUOzHv4j9feQpkc23B104N2RQpbKI vZZ+EL+/Sg0JXxblzTFfpO2/arxgoYZY7jpEcJ5ZxLwbyhY/ruxGvnruVpfC F7FYH6lEhrLd6EnH337Nb7R5s2nOqShV5D0iN1T6dIn2fnQ/jXDciT7b97PV NNNs9k9Av9BOdKQvevubYZrxNRHT/3Yg9dZvISOCy7TXl8AVYb4DZZ+8yb7V dRnLM/Rw/5Khgsr4fW41X1zG5nZxCm0/rYKOres/3fxwGWsK5P4hzKGChL0H lHQLlzFpkRjfa9PKqD3p1CO9Wdp54mVVFxq3IxdOJZsGhxUscmvCNQ9GJZQj euRU+PkVTMVl5czmu4oozId6LS5xhfa8nLUGOxXR/RT1wPzWFaxoUmmi8JQC UtTP8Ozbs0r7/fTj0kS/HKrh3ZK6l+sP7eejeuvqBhmkeqMJdBUIC4tVlG9D D1mDh831CNubN7ttQ7FLvcoeoTRTqhYqm7Yi608JDWljNFMP57knSyN/K52J h0x/MfZmdSF2U2mkY5d3t0fqL8aZfsXXY1EKib+2ONFq+Zc2X4hKg6XQ+L9c cyvVhOPWuXpKIjvp6i1sgzRXm+vmy0uitxk+GN9vwmv2P8YlkOG9BsNJ8TWs ODs6byJGAs1lWrVt2beGvcir1rlpIoEunY2VOJG6RjuP9eh1qjhil4iQ+aRO +1Gn5r4wzhBBRRtTq7l0Kbi9ZcFPRi0RFHk0c4+IBa1TKpjyvggjUZW84mhP Cs6SkRC+Tl4YmbwsEey/RcGHgiL9CsSFaP+f7HUdyKDgQcOKUdFvBJGN6ami imIKzqxc5Rl+WBCV6XzD59gZ8AVHxsjpLZtRqX/ciiknA66yqdWWh3Uz8r/o l64hzIDHrL3rrSsRQMNGMU1Guxlo959U2iAlgPaLNI80uDLgh9WzRvw5+JF0 brKcUQADzlaiI1TUsQm1pcjIVbfR5qm2n3TY+FBAS8iAah8DPvi0T93qHS/S 7zi49+8I0deHrYvnRbBb7Nb8bwb87KWVIzX7eFHl2Xj3lzsYafep44YaPOiJ 5VJ+URLN1GfXQtK5kJcv67PD94neuvmxBxeSj+Utnywkum3YZQ0u1NEj93V7 MyNeMj22T+DlRpS502k8b4WYHzXjNuFEN7la5XMcmGjeK5H9hAO92iNSZupN +HvFpA0HGrb3wVYvED5+2IeJA2k+4bW0SSbceXr2BDsaamRNMG1nwg+WPnBX EFuH8hlY9eN+M+GjEXPDPVps6BB/ZKKyBjM+vsfv6/JHVlTg91zkgg4z3mhf 2z3xLys6tpr3q8uaGd/okHG//jArarC/PHLpFDOe+jV3nxkPK5oWU1tS9mem 3Yd/5WtlQZmVFyVH8whjdRZtzGhxfmOQBT8LzfWh+xcYkZSI09qaFOF789PA iDBjP9S1gwW/NOa1syWKET24fTSTzYTou8+fEmFEXrK6TAW2LLi/UmPcl58M iEfz5fcHgSz47vQ2yfPRDGjv+FINhLPgoeY7BMsPM6D1PTqxos9Y8DQpy5Ab TynoidtOQYVfxHlHT/Q/XIO+uIjcvr+EW1w1TNaA+UXv9sj1rDQXtNTO/YWD JjfGv8qw4ixh/R7bD/0Ftnt1Xsn2RJds115ahYtBWjLF2az4SblbSX7hK2DJ l2WyqYUVV+VvLbFLXYaXdlUGYf2seF7appZQvWV4dsxb+NMosZ8mMra2BEwD USHlDP/QPPNuIHAJcvvKd/ntIXy6/K3bIizMdzqG5v6DB+7tUbLzWYCbiU+s jYuIvm3HRc0FULPSYCmvInzv8j6GBYjqPuKU2Ec4VKb95jzIdkUKG3Oy0cw2 xfhsDuakPtjWhbDhE5F3tJP5Z4EnPgSTiSK6xsO1kRkoP8w6mZBAWFSjt2wG ON6KGfkWEoYGFZsZKHhjwSIzQrie0zX7F0y2vAxJMFtHc0qGkdE0TP7Usvp4 Yh0+vbPj5QGpaThg2Nnr40l06XtZ81MQ1/xjl1EkYXUjo6NToNIkOslQSdjX Skl2Ei6eeZyULcuOx1l0GeV9/wGiw3qsC7vYic+jJrvoB7Qyrvs3FCecdwv3 /wGpAxu2D9uy43f8rj6pnh+H/vJEau51okdTD60bh4NFDzP7pwiL6zgZjMFk u5uWwyphdZefvGNw+4s+YyIrBz7hodX7duwbGKBN+1/ycOAVFtrJcs+/wbx8 odKcBAdtPnCm4ew3yH/wopLTkrADY1TBKHCnNw1ovyTs+yxdeQTgVczFlnrC 6s82M46AZ5+xpPk7wvV9bD3D0OYpWPZ9hAP3vT8VzxY7DAtV1Yp/lzjwDukv oyF6wxAS378YLLyeNs8l3/12CL5cHed/SiUc25of8xWKfdcf2WywgXh957UO fYa2NN6QJ9aE9bcJS32G0XrBLC1nwtVb8v9+gjhriy6JwA146cWbquYFnyA0 VHXc69IGPJ9jw/5yv0/QgM1wFt3YgLt28tf9lvsEETW64TVlxL6sgL3DR7Dm uVTiIclJcwfv5xOD4Lsvsn9NmbDvfR/xQUhc7tyQuJ8TV00bEL879B5QeboR Okp0inKD53uQPfVyiDeO3JeQDx+A5ZJfvFUrnPj02lRMVVsf8H1c3GuxbiPx +ayzTOmD0uCd0s58G/FUGQmbf7z7oJ/JxrVaeSPe9CqN6zNrH6h24iq7TTbi PFvWnx9J+w+sZ5xKPNw24k+rJ+tO7fkP7vwN27YleSMeGJv9VT+pFzKtnAM3 9hDn+yb4VfdAzgXPcRUbLpo/d2lIdcH5W9/+XD3BhQeWjPFrr3VCNXMey6dT RDeTuPq+E6zF3vL6+XLhfHonePITO0HN5OzM1Sgu3Muz/EXl5k7Iis4LORDH hb/NuX3dYvodpNUfrs+pJPazZ+ZZ38HIA7v2xVoufGyLy+H0bx3wyiT20+Fm sv+KaOqAvt6m5T89hMVHJK93AP/3gzuOTRGm5J3l7QB8b01LhiQ3HjaI6pSP t4OkRedjd1luWqfqi8u1Q3GS76vq7YQd+rtm3sBd2f2Ko3u5cVn9z5duJrwB peu6f1ssuXG5y+5jzs/bIEvW6X65Bzd+dkzYdDd7G8RYbw4OjyL28b06sq1w JWvVfG6CcPWvvdZNcDiWekH1Fzf+MTpSgEGjCURrAm45LRE9O5CZuQnKv453 dLDwEM+/dXNJI8S0pNS7CfLgfN9eu2xTaYQX2uFmT0R5cM1XL7yZNjVCTeDu +I8yPHilX0m95ocGcCooMzltRu6LGH17DSr7/c5kWBP+7PCl9jU8DL19M8+W Bw+NCVtWLn4NX3j0j/m78+AMhf8M61q/BiYlltVdV3hwyT9xnoda6+HgK2+D vhJiv7qEpaYOOA3l3TeWE8bLOrLrYHBgJFqvmjyff4BaB8Grdk2lbeR8+4OD dRDN1u755RsP7qUsfZSvohbEG2R0DQV4iX68tb8G3nWtris+z4sHJqSzpspV Q0KCEmPPJV6cOUiPNYOvGtZRMhj3RhPzuNv2EQQ8Srb1ZYmEqTW6IQi2Rr07 VFhEmLJKfQhgqFlrem+U7EeO8FVB1uG7hQ4/aef3DRq0DVXCEbeLXGJzZL/x oKQS7BI1OtMZ+IjzrwdZVoL31DOrRGHSNQFpFXDn/n27aAvC1bt27SmHzeWX q/RsCVMVTNeXw92Ok6IsDqRzKr+8god/hD5fPkPub7l14xW8tEk4dSGatCTz 95fwsZj6NAT4cL3CkFTNpy9gW+DpYEv5TcT5o3w+ZaCk8elIlgrpPYmHy6Ct z/rRuNomvFxT19pQpQy0Yg1GL2kTncp7cqYUqkoNfCvsNuGB+qpVFcGlkNQ9 o8wYR3bEEF8CLLsvfSucJUz59/eXYli/8rt2eYkwfjixqRje2cX9cKDw423S ctd/PS0GcRMnq/fr+Yn7/b3DimGfi24d6zbClFMRQsUQmMiRdeIo2ZP3nyyC 4flka44qwlS+EpancO/groAPdeS8FUf/Ezh5oz2usIXs5c8KnsCANEvzkT6y +05YPoF3R/w1786S5l/OKwAoNhZXkhegP6/9Y0g+wzBumkz6buzfPLB8dZdV IpMw1St/IA94WNSlZnPJ/pjpRR7cvOttl/yM7LHevnkQ0fq+/dMbsndxjT4C X7nnJb7Mmwnvkxx8CIYjHmG3/UhvvDKdC3phUgU6wYSp4StduaC1aXBg4SLZ ze6/yAUNXRP147Gk00Mv5YL8A+VZqUfk/E1j7lzgcJlzKxsku+GW/ffh/ETn D4x/C25Yy5l3x/0etA2HWfYd2kJ0L+2SHGgKVQuPMSVMFZpIz4F6vqnifVak r76KyIFTqnkbc5y24A4JG0JqrHOgIFerxT2M3H95cTUb3J8XXPz0bAsetF/n bYdpNiRF63+oEhPERy89yxdanwltCsPddtKCxHzknV8ZEP44LHNSSRDniQ05 vrkiAxbYd2q3qQriy2atkuoJGbA+8qNNwD5B/LluZsAp9wwAf9vVnzqC+KDk u4cKGhmgJa5wlteMPM9sy+pdGJ31Hva8JIh3p3W/Y/+TDuI23rYmWYL4VW/j TUbH00G4e8lqdoScZxhYSIU0IZO1HROkYxv7UkHzodEf0QVBvOBoUatjfirw z+it/PxL9rzoS6nAxZWQPSYgRNi8nj0VmIy3//hgQDrgnmwKjNc5UZuekNY0 pyaB2K0+j5ulpG/1OCeBpb2plWUF6dXLBklgyK479ahVCN93xf+XK1sSmG5b SRX7JIQvKNm+7alIhNtK3N2/h8j5vMa8RNBMRjIygsKEd3UMJECsh/Dbq5Gk 3+TZ3oGaPbdfGd0gXV2mdQcWmNlyuRNIqw4p3AGHrNngjBzSnZl/b4Nqd4tk WSVp6TsPbsOH/SFnh2dIH9BeugXbuXtFtE+KEO4+8zweRm+MXkl0Ie3unxsP Gey/v33zJC1+83Y8rGfe/Cw2mLQ9u088jC/Y6vXeIu3CIxcPDwY/eLvXk9aP 0ooD4bwRFCcnSvhiutYN6JZekP6qTHpiUuoGXM9hjVFVI93ixnIDltNkLPu1 SM+0N8VC3w33MUk7+ry9eSzcCfjJ9fwmaS979+vAjs07Ds6SvhlYcg2CD8qy PV+mey3pGoxqH38axyBGvj9F569BrX7NstZG0imXta7BeYsbd/LlSV/82BUN P1y2vj7rSJrZ7E8UtMVayXK/Jb052z0SNOKi28d7SFueM4+EvFsVgfWDpJ+d 2RsJEUkSNefGSYu/WBcJoh0LilOM4oQfvnh8FXr7a19biZLeqT8fAYd+Hvst aUW6NDQjHDL5wrsuHSVtp30tHOY0HxcOHie9KBkUDtkxK65JTqS9FE3CYVnm bt86X9K+zn+vQIHTh1fTMaQ/G7pcAa6+k6FQTfouh85lOL0WdVSonrR44c7L ULmtSDW4kXSoq8RlcA+i/NzRTjqQf40KtTw5Jx68Jz3hXkGFQJOvB2IXSEe0 76FCX60zwzFFCcJNuWEXYfrggGCYMmm3cseL8E/NYdXsnaTjJ3UvghrScB1V J832jPMiJFRwvfHXJa2SkxMGh0srU67bk45eawuFhgd8KlXx9H2kfgE+SscY fL5DerOD+AWYv7/mxJRMv1+Q7QJI3xtPNMggvfjhv/NwJbN6pSeffl9K8Hk4 kOzVOFlLOgVBCJRF19uLz9P7uhPBkGfYujlqkbTZqG4wpK3v7Py5Qrrjw/Zg oMZ/0qtglCSMCzEEg3HK8nZrLtLBrQ/PwddHKmvXFUg3DS+cBc7Gu1m/HUm7 bckPAoZr923tXUjrUxKDYM7wX97XbqR9/1CDoL/9RdRtH3rXsA2C3N5OH6Uw 0p/L2YNAY5QNP5VCejPyC4TTLEGf29vp3nI4AATFmv9beUc3HAiAdnWRt7I9 pPMCtgeAmtfrqivv6c/PxRkArF2b0tXGSHNtaPeHB9nPrTIZpAhnM5v7w7Dm YssZVdJ9nk5+kGJlXJu2h7Tb2hE/MPbJftWoQVo/R9cPSu/p50kcJN2xUc4P ItalXu0xIT2WOO0L0v/txfe7klZRv+ILp/wvlK1Po8932vuA2s6PZXIZ9Pvf 6foA+wz+XC+btNmYog8U+bG+oD4k/dluxRtWfW+9nHtGuvpkqjck+TyqGGwl zfW8/ww0e3XVFPwh7fvbwwvuKqrVNlOkyf1qSy/wnUipHWUizZV1wAv4vezr xNlJO6TyeIGT5/f6BH7S8eEVnrDqvtYYqkxaRYjbE5RdFdqNHen7tS3u8NFd zOeJM92mZe4Q68XLxelGP28qyx2++62Yv/Umne0X5A73Q1t7zEPp3V/CHQRu e36wTqb7cJgbrFU+nnB4Q7qoR9sV3vIocgTt3UqY6vyPCxw4c+Z7+j7S8c9/ O8PTxqeNtRjpbP4xZ7gZuiOCS4/eKc3OYDyq9uexBenpkOvO0PLq4NRXT9L4 Ao8zvHaw6TLLpO+XKZyCiqdX0hWZthEWj7jsCKzGVoLJrKQpnwMcwfy7TCoD O+ki/dOO8E3qTVIvF2kV3MgReFMFblNFSeOvNzmCZ3hBdPdeehd54gBCR3uD Qn3p5x9pPgkXGOTN2j6Q/iz23Q5GdTj6tn0h7dDdZQdm0RMnLw/T778LdiC9 sdBH7QfdpxLsoE1YNS57kX7eW9wORNUPtAfyypD3b8w4DrXeFsYiBqQ/Fzkd A/bB8/repaQd6kSPgtq5/A1xL+hu4DwKjjx9nYXlpMV7/9rAS/3dJ35V088T +mQDp8um/ALf0L0v2wZqbjqnnx8lnf1G2ob298h0MnKzLOlPatYw8lAiISuU 7uBQS5iI+LLERCWN7/G2hBmnnJNu4fTO4GAJFDEJhR0x9F6ubQmCyeK1tcmk P7/gsASzKLHpkWf0+fcZR6DSVcRY8TtpyvkWC0iQ3cL8ykqO/v5pmYOd/bZH Q0dJZ//ZYw7SCbsMOe1IiysrmUPpmkn8KSfS+L8C5tDde0WY04feGX6aAe/V CdVT0fR9hVQzuP0FuWyoIF0dMXkY4tNONzqKy5P3b71tAufOXgkIlaL7ItUE 7C0yxZK3kaYOeZuAInvvuTZFeu82MoHmEF3ZPXvp3YjVBBhtpa+ttyBdHRVm DEECXw1fhNP7r0AjOJZwon39N9J4yFUDEC5hF/Icp897BhnAp3cvXJt/0s/3 cDEA5408DJFz9B6jawDeMQ271hgUyG7HagBXqMqpv4RJU3fG6EO+F4NzrwW9 e6YdgkWdB0tZQBqfG9CF0Iqs8Poaeo9o1wXKzrQN3+vpFq7VhX/E4iR2ttLP c8nXBf6lYIP6/+g+EawLu54Yp45Nk67uF9AF701z6jukFMn9fjsdGBrRCq6N Ik1N/6MF9/bvEHrjqET6nQMOT64GcbsqbSfnTe/vgyirU0ZM86SpR1T2wu7B nPyoN8pkL/i7G1Lk0p+8MVIhfcJvF1yqvpFi9Iru/dw7wETI6kGL9A7STRLb 4aB343Hua3QbjshDlrCTdNs83ZF9MiBd9yjJ9PhO0rkntkK8Uq18J9B9V0MK Ts8yv2uW30U6YYcEOBXPiF+Lo3uVQwy8rhxZNbz1f/8RhaAjpf+tv0M387Qo RM8H3YxPolu6WxSe7l1aSc6gu/6uKCzVrPU+fEy3g7IoxHeuv1HfSDffMRFI u3/GLbKZ7kVjEbgf2K6t30r3BCYCz/njl1vb6e7bKgKDx3jdunro5poRBpmh Ldpfh/5/33VhUCk9L5o7QrfwJWHQuPp+yeUb3cH+wmAsk1H0fZxuHVth8PcU F/31i25FGWEI3Xd56dks3ZWCwnB1w9fuwHm6jTmFIaXw/vXFRboj5oXgHpXZ tXyZbtnvQvDY3EUrdJXu7kEhKJVsEDnw9//zHUIAs9uW1tbo3lcvBP8DNDjr gw== "]]}, Annotation[#, "Charting`Private`Tag$30145#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwl1nc8VW8cwPErIyGzhGSHyqoQknOoZCchSTJSVpIVISLjJzt779Gwlfk8 VvZeSSRbSGSP8rvn9A+v9+vzfb7PdV/H615uk8daZgcIBIIQ8Qf2m7Lj4esP jvFyapXPy10uAGjE46V+i8sFsbd/VXWNaHGmO8lsnP5IZffbxmpJAJm8piMG 5sORuz9Pvi6WAPDPw7DHJwfjENPjvklj5wEU+nU/eP9hMrJ8lNkj5hyA/r5f hQqUMpBL32iMlUUBXD29ake9n4HUOdXyfRAhOqc01rAqGzmQ6xgqLASgziH5 Xmfjt8gX1wzX14IAWpGY3233y0doYsVyungBjKJ7hrqdLETufzsyeJ4LQK0V Wr+/asUI76c8vz+sAM7FXKtdsyhBjBgs5gKYAQy8/8dgdbcUQUX/7qowAPhA wmWC52Q5ImgxKx9MDqDwgebDjbACaVx9fnD0bzVke93f9vNyFVJ23Zjafqsa DlZlwH7BGkTy1VcLzulqqOPG+mDNrQbxjaOZ7xivhv3fdU6sXa1FbLXHJT2+ VMMTO7fzp5prkf7ncCilrxpKHONVJtyqR94+EaFvqa2GFc5+NoWB9QiB8Vax AqyGmjAk7trJBiSBn+Dw+WM1jHMrucxI3YgElcQ0zSRVw4NfJwR+crYgXDxu vqNPquFQTbXj4lwLYvRGW+6ZWTVcdqr7qaXaiijcb7ore68aejG8Uiy71oaI fJWuyteohu6Vo5fYq9oR+Yoaof8kqmEzEO0Yi+1CQFaY3m9CNax2eDGWx9KN 5NucvPN0vQqGXLFs5ortRrJdnCotxqugTTfjw99XexBUWtCg+lMV3JxePy+3 2YugDJ0ny1yroE9GfZq+bB8i4OcBjR9XQb29Z38kUvsQc+7ZTeq7VfAYq1bc L4t+hNFcpyXyQhV8qpINT8kMIOKz9waraavgmeWg7YLCAUTwKG+/6mYl7J4v W7b4M4BQKaYGWs5VwmNI9THGikEkSMppZwNWwtTW5CcLnF8QJY2rp/VkK+Fa TOnpscAvSI1zwuR/vJVQ8WHbZO/2F+S75pT9A6pKuEi6qVPRN4xw3Sm7wPe5 Ap64UVdj6zWCHGvKp1h6VAHH7755U9o5glTnhvYr6ldAx1yJ4b5f3xBxMj4d vfZyqNg43WypPob4PlYX3ikuhz9a5m64MX1HZhPuHK10KYd504UXa15MIgqt WvGb7h8hHR/52d6ESYQj1Q1aPfoIe2MUSE+2TyJG8SuNDzQ/Qsm3yyb2MlNI wKru0VM0HyFV6ArZJTCFZOeFnLAr/wBbSV+KEJimEQKL0JLcyw+Q+dJXxq7G GYRl23tz1aoUdp4WNKtu/IFovHvxn6NNMZQ5+qPDiXseGTqfqnPlXDFU4Xt0 Zc54HgHdLBQcB4uhtnBpD4PJPLL4POL8AaJ/fzr7hnpqHpG1LXnyIb8I6rOn aj8TWkC8EhI2aDyKYHhL4AP9TwuIkekB0lssRVCl4JbvYcpFxK6e50zOQiG8 YTdzAZ5eRLLJHCQs+wuh02TIyjWDn4jUyHpf5cFCmEzd5s1wdRkRszSOjv7+ HlrWPDPwNFxG5EpW4kiT38MRmzMSv54uI6EZH46k3X0PH7upe3x+s4zMlbin G399B8Ni1JT96VcQI9lsoe4vb6H3yU7a/a8rSMGnI60CE7lQC87e0HJbRRDe awOLR7LgLcct3B5aXLhjyNhHWjNWkZr3/9mMVGTC5pYHHLmDq0hK+TFmTvVM KKi9l2Yms4YQzKi9cxwz4Lnup4HG5OtIzNLDCpHuNOjZptbRwbaOfG85IHMo Mw2yiNgtVZ1fR2wrFYOF7NOg0mqVWLwZsas92fOhT4O57lqlt1rWEXqd5u8B 11OhZbg76A7dQIweHWsgB8nQYy1tDOZuIGc0a3mFzJJh3K1mQn7dBoJOVdgd PpwMW9mZLgetbSCe8Y1ZhHtJ8Ex2TpOy3iZidPDlQiZ1ItTWzm9h/bGJ6DKF rglKxcNw4ZH5B1xbSJQHp+6wTxyMS/Na2BffQkR0JF0NVeKgzfSpyZK8bcST fac2+mAU/G74hbK2hei1ijuDMBLeHPIX6ZjaRtD/PD+POkdCqbZZl2m2HYTw jHpa4WcETLkXTHXy4Q5Sr7nqsSMSAWlMA0SPh+4gOS+HfqGtr6EmW1Z44dwO MsJoITixGw7NaIVvNRrtIp9VRv87ORUGUzlumno/20UybmY6X34bBt0fe/4X ErmLEK7mXjtrGwbTY6Qcctt2EcFyc23uvVAopJRoNXRhDyG4T3QpsIfCWibW WGn6P4hnLeGk6FYgFA9qBlfPEP3lT+znyECYReE8dUPxD0IQOedYIR4IA7cH RS3diH3C6Smv0yuoOxbRGDdH7O08t0QPBsD5N/RruzV/Ec98Feqoe37QgK+G lXKE6EyNPk86P9iV+Bg5skm0rX6NU40vVElrVFni2kc8nzvsLSv5wrUknXZW 2X0kbLw/yWDPB3o4BXLfjSV2bRtx792XkIr7pcCYFAElnKE1Rwa8YAFdbA39 VQLKIJBzYyzOC/rqJV04oUXs4qbWp+56QQ6xnEJ/KwL6pq1/+drsC6heVsz2 JYyA3s/lvyMi+4L4eSj9cDiRgD6u050Lp3gBb2mYFlQWElDXKoJfToknLL0y i65RkaC5siWCNAHPYYldyK4GLQlazXz1F6Ptc2j3/Em8DDsJ2pi7GO1I9hxO qQY0q0qQoAT2k28WFN3hpRMt040PSdCA8gjpws+ukC8j+pSqPQnK99h6lT/A FbbHCJyqaSfOVxR/HhV1gfatLsPiQySoruneGv+sM1Tqlpf+O03sd1+x54U6 QyDBGba+SYJKbb2wVOVxhlVOoRZlZw+ghN7ySuU2J/heezu3IIpo2qEZz3QH aG1LUXQ9negdDoMXJg7wdCBTxVI+0XzC9/V5HGD3wKkJkZYDqHXqQdoXGfYw 6ZzJfM4usT9i4IsvsoPB9G2nU41IUYIGuaTYqi0sv3CiVMOGaGnz4eMVtnDK 8DGy50o09d+0gRe28OJ7Ju1b0UQbUi5nM9nCySaKCI1OUvS0W8Yfbg8bmEtC oRSySYoy2i/f89V/BK8x+0aKypChMya0PCsvrOC7Jx9OuF4hQzcY00/9lLWC +ns5K326ZKgyZbYNb4MlbDR8Me1hSobWrvnoNdlZwmVOyW1ROzKU8C480eWI JUyqes4zk0N0lsjz6npzuLVO56jFTI4SQB1Dut4DyHvCZH+fl2jzHk5K+gcQ UXsC+86So6o1lrrvmsxgZrheEqU6sc8ZXpGRNYPWgldJ390mRzNELo0d/3sf Ml4s+5HpQI4+vX3C/qXLfSg9v10LvMlRU5ZUKU3R+5Bm4EogRxE5WrzMvRF7 1xS+Nz/HdmaFuE/KK9UVNYFDIS8zhv4SfX9S1ILCBJJ9HBTxpaFACeiyF2+H MZRXD5qfEKBAf7s+o1s0MIaUafXW0YbEPpJokutjBJ87KggUplCgf52nVc8K 3YPaR5LVj7ZSoHnmcTOnCYawzKBa2f0LBfp1wZ3LOOouLNK3YR+bIZ7XnNy0 kb0LSYf9XCpIDqIE23fsXq8MYMZQxfknF4h2Zj716sIduLHea+yWcRBt3DgS WlChB4Mj3+uqFRA7gR9566IHJXVkyCuqiRY70lUmpgf9+m+aRA4RLQhf56Xe goJ9vuxqtJQooeyzUWawLlzjHb1d70KJkp+93FIXpg0ZQ12I312InX60bk9H G1Zcp1iKiCB6jr+lm00bUndxqtrmE10jswGybsJ3HVrkAtNEm9dnmzdpwaXW MpcIzUPE94vlTtmpG3Dpp4LOt7uH0L2PzzQebWtCOZXewcdWxN7t0lTZTPy2 17JwXtWXaKWE4yKWmlCsmWOJpIromvlFSfPr8Pmjt1EpglRoPL/tRGy1GuSY UqTYOE+FEgo2JWSfqcG2A4feuKFEe+o1ZIipwdjhwyJTt6nQrj9G+pRJqvBL RaRnxiti/26zHuKvAuULspK+/CK6pk3q83MluNRprmC0R3RoX+MCqgTDx5UO RFJQo1nxey+o6JSgMjx6qYyRGq37NnPFv/8aXD+dL7zGTY0SUkwtdF9dg7mZ H6totTELjmWmKUKG+Obhy2VE14T9SPh1BYLygOetDUSLHXj6s/IKtBpS47nR Q7Tt0l63/xXYbsVW+mOaGp02duM9I3kFblTXCP3dpkZj0NWljNnL0CX0y5Yz Ow1KMNJ40G18GY77zDPneRL9/Rhr5bo8DM54VyEeRHT3GwabVnkIxDRVUuJo 0DOkEcnRCfIwkrCa2VxE7KE/RrVV5aGy66745BTR9KbPzuegsNCW5iaL8mGU wOXWV78oB9vjmFze62I+MjeYKAdnGtiSFe4T7Tmg13ddDoboavVxOxxGDTVn 8i5uXIJubuLz1h6HUZYrKkpuHy7BRuQ3bUHQYTT59Ru/j+aX4Mvaq961pcTz RtLyssGyUJfRo9iSh5b4vNoPU5jJQFtZ3y/7okSnnOu5wysDI3d6D0deokXJ tjM1bCakIayIV4V6WDfrrzeRhoKmZZNMIUR7mm4tWEnBneIVpupdWnTrXtSm fJIkPPJtS1rrEB3x+UsWv/9QEpY4n+O7f4QOTeWLpD9zURJ+Ib31sEaUDp3Y orf37pKA4r2omIQ6HUpWopQpe08C6v42KbY0p0MNGaoNOjbF4eu/7vys0XQo czDvwfgb4jBJ574D3QBxf0p0DInjeZjqajUvdoue6KXxr+1i8FnY7B+fu/Ro nYS2UlGOGKwhyyEfMyV21OJ2x0sxqMvZxfTElh5N83eibJATg5LqTr99/OhR b0oKlkVvUZjsn+MiF0KPrtMrjL88LwrjGq43pFYRzxO0HA3vC8PpTIPOrTp6 1ODVbpcjvzAsVw8cu95C7J530k/+EIJDg807fwaIrqnnVLYVgsw/5M/q/8Lu 92ix9TkDUena1kQeBpQtfLhf79MpyKPV+9ZCkIF4vmC6LeIULIyyLa8RIZqQ 5XvW6BRMELwkNCPNgNaz9LGRkZ+Cwq+u/m3VZkCTwt7GdYgIwmRBk/QKSwaU X6OWafw/ARigy+Ls7YftS3F+WsgPvZL3bqwtEl1DG/Cagg9eD/R0FV9hQCu8 BF9wLfJCjlr7MJNtYkcR0vByXlgxMd/dTc5InLfTW3zECwNaYxrM2RjRQ+7U rJOrPPDjZW/N9xyMqPjGSlXMMA+sdZAI/SbAiM4Zq15czOKBJu9K1R9oEs8T qFDmem4odunJo0RdzHn9L1K5YZZbeHDObUY0cWuaRCKMG44zKunbWTCiYwEM V4IucUNSYfK9816M6LrW1x4GwAXly22Uh4qx88KGYVGckFbltAVdBea7V44Z cMKR4Wl/xRqiPSkb2Xk4ofOeQXNJO+bGjNR8DuhP2Wk1PsuIqviRZhdXnYBc jQJXVY4xEbtbDqcgO+zp2ztU+IwJrdEz3AgSZIUREcIHBjyY0JDfS9qRpKzw ECHxgLQ/cZ6gPVrQxAIZhW83lEZi5uAcM2eBJ/16ruUXYF6AkgXHoMrFOo20 GczCKrM3mGHy9YR8o59M6DSp70iPADO8af6cnnMN61SSbH+PQoNImd54kiNE f/CqeXsU2vwq0olkx8y3pEx9FL5OTzfw18K80/1qmAmyVLyoVryNzx+ZK2WC Cd33OMiNMFvdjAhjgll/jn9/8QhzaeoXZSZYdivC1NUf8wH2A4ARfiv0zHMB R1AFv8d/V4sZIL/DA2ft00eJPY76byYdFJYZu5kshnk48MMTOtg+pJs9L3kU veRPGtBziQ4qBCrPeFzGOoe6wmdaWF2ibFtpcBQ9WOcloUhLC6P6f4seCMH6 m8DwEBpILuExm7+KeaOLtO8QpNndrNvZxpyTtZx7CPYYhCwYEZhRJ09zcjfP Q5BL3UTnKw0zsbfb+YgdgrJmV+sp+DEfyIfhlNAhkjr5rh5mA35w/yCcWo/W pa7G56sGZMhhmvx5+9F6zN0dIcfI4b2gzpD8Vsx8T0LWyOAwH3nLzSHMSpsG +WSw56bdxYRVzHpHuQTJIChU4xI+fYxoINpwkhRGPyKZ14jGzD9XoU4CtcsT KLiTMCsyMpwjgYzkUryrGZj1W+KZSWBwgo1BdBHmQEb17wT4su1r51gHZodK RicCtD31odiWjIXoqadROvtAZdrSPfwJZmcWPes9oOjO++6KM+YSvbvye0Dh 6MjwxnPMXJP5zHtA5qq61J1AzDU6MnW74HSm6CpvNuYctz72XUBttmZeOoK5 vTVsbBs8W+xdQJhZ0XtyR+fbM7dA+5S79tA1VmJf+3EnehM0u0l6B2hg5hr8 6bAJGo78KpTVwWwUUqm1CUzFc+hSTVjRI2+O+1PSbYJ3GQqtFu5YL6u8E7AB LD68ez5WxIoWWg85HwxcB1H+SqPVnGyo55nNVtG8VdB+ZqrfgI+NOB9zhyR+ FXi/dU9aEmZDN8+9asiyXwUbVOcut4uzoYJaqqORt1YBje+3W/aybGhpurpS sdQqAHa3935eYUN/fExTesu8ChS4zjgxaWL73hUu/fgNZlZtpqw82NC8tfyJ j+d+A65bNrfVk9nQYzffyErBFcDev62zOo3NG90YqlkGccfV988uYt6bcH27 DC5mqf7h2GBDvyaPsQ39twyYfyvu/vyLdX9rQetlQE8fkTJ37DjRzeccWZcB qZrIwqgyZsGjCatLYL7exLP5PeaCyFMpi4AzbMgyuARzjFCDyyLQNtTQ0a7E u0DCzUWgQnX1V3bbcfS7Uox+19YC0ODfjeUcO45yNDfbCgQvgHBhhv7NSWze Py3BfgFcjIYCAmzs2H2l2TrzINCSvcvHF3P3z+sKc6D2Qni5ahDm5Zw2njmw QUaZwRCBOUfKmXQOGCWvOiemYmZxNvk0C8T7W3lKqzDTU9upzoLRSy5OU78x i+mJG80AEYbBE5fvncCer7ITb6bATNCMV6QZZiPfnrApkEi1OTtrhdnWMttl CtCQsRQFOmPWiylTngLzG7cVB8Mw+7+2XJgEmSOjNhYNmD2DvolPAvacaRhy igP7/2PP+jYO+vk2+CZEMaNRUq3j4FUqRYC4JGbnXzOl42AnTkD7iwIH/jxG BY2DoSCLOR4DzJ6fZOXGwWv7n/QfgvH5g54Z3wEVsm48soqZKzTs4Bhwlhek /LCD+budyMQ3MHP5Tl4ICSfWT5BUfwN1SrU7CnSYu40V7b+BZ1pBr3NPYzYi uzYxChbMTn5yMsbsGTDQMgLaA3UEGbowfw9YqhoGMiH+nfMDuGPSEodBTlil Q8MIZvoHXs+Hwcso7tqn83jnaUCHAUf3htCvA1zY3+ul1PQFDH6p+6TDgfsO 68gQuPZTf5NHB3PKZRbezyDpiHefhx5mege5Q5/B2sW3+SN3MIud9Ps1CFIC dh9GmWBePu9RNQh2BBKGDtni8/JkeoPgnclo+XIAbnGJyAFAP3TPDdRg7j45 yt8PHuz76R1vwEwI/03fD6r4C8Sdm3C78O32AQtHws+znZg1aUa7+kAdY+rd zK+YPTMTnvUBB/UJucAN/H7PswO9YKjuPom+EDf2+juTEnvAsvwwm7soZi4z icAecLD2unjKOcyhQd+f9QBJKPNwRgozPa+DXg+IqKTvsLuKuVsn6EgPuF5S FfPKELMmpW1oN2jMPCJWHYrZiPKFUBf4xheg/P01ZkKqFW0XWE/fNyGNxu9b cl7uBHxp85HKiZhrFndKOoFXUs3uQC5m1CEa6QRy0dZNS3X4/APqOx2g1L/B kGsd38dflNsGclTaWPy2MHu6PQpqA3E0vb0/d/FuoPqkDXiGjilWHuDB9q8+ km4DajE7Irr0uGWU21rBRLbY/qszmAmDIustgLYpIXnTGO+9z4yaAcl/6bcN zTCjFCJKzWBN5Q3TJ3N8/uxf0WbwpfOjX/hj3B1r+00gY7D3sbA7Zs8mydQm IDNDiZrG4PtWFuYawQNyx++dnXg3Ywn8BNg4Wz7v9uD7o186fwKdUie6BAfw ffQUZp+ApPWnaq+v+LyFktwnQNF3NF5yDnd/00oDyEz5oJNEwoud74wzaABT F7daH4ljrmmfQOtBjI5aXdwFzJ7ejaL1QO1xSnmTDG6rKo56UJKmlMMtj5+3 /7ZXB14eivUZUMe9vlVeB/g+S6OXHmImVDhcqAOmdq6lNHH4frp1uVogee5b 6alEfL4fFasFVL/RD4op+HxsPHctKHhC8dEzC79v2J2sFuzZhpWtFeHzWqut NSDqcXblSBve98P1a0CLdV/tuz/4eR8TSggShCTrWgh8WH/lvASA7WJM3Qwp ZoJjTj8AzNaG9VxUuD10UgEwsfrREMGMzwuMXwRgz2K/yU0Ut3KmYzUQfXim U80Ytzz7biX4ZsH5+P19/LzQtYlKEGjNRE9rjtspsKUS/Hiye6PLBneGWUwl SHdrG7jhhvuHxoVKcCzcalQ3+t/94y4VYL/q7aJRB+6/5xjKQR5MDqrtxu8j 2OyWAYO61yI8/XhPh9NloLzJ1XZyGLd+VkUZsO9VXTObw+fTnpuVgdnZhV1L 0pOYH1yGH0EXoxC1ozTuKCuvD0Du0aMf8bK4KUJsP4C8prymOgS3Tb3hBxDs dvYlvSJmwpDhxQ9AbUbyz1st3IcN10tBa7n8rwkrfJ7OxroUfDK61aeZhPfE 2w9KgHhlTOHTVNw3XXRLQMbR4ZCkDHy+L1uxBLxsNVBbfIN7VUygBCiIm3zy +4jPr63MFYOag48+gm68a3M/LgaVeV7xQqT8WL/X7lMEKNR02KIpcE84OxWB Gz8EYkmoMHu+Fn9YBGZ5O6IG6XFf/KJUBJhij4V7cuDzVQM0RcDK+51/vzTu 9MDoQnBcb9DRzRZ3qcfHAuBKclqzfRR3q7ZsHpi5Qj3EP45bu4ovD2j6L957 MYV7QfpwHuCjy38suYD7q9O396CdXTwkZQv3hfUX7wGHlFynA5MAZtdf7e9A nY2W2gll3KOydm8B1cgzJZsS3Eey13OA5NPcwyEfcVcJTuUAY8ah3vwK3PTl vTmgTEni7koN7iDyghzwoPTXE4cO3NfUrHJAbfD9+GczuH1eTmUTPy81lnxZ BDHfkB/PAtNZ3BHJbrgNTpJkgsWX49uknrh5ylYywG+T1Hvm3rhd9SYyAIGT +8zZANzvauszAFs0V11dNG4fcb8MoOnHuTxdhPtSKH0GqHp4Qk3oB26VBqF0 ECHISlaucwqzlJ1/KjAw5M+e1MPdNeSWCvgizqvQGuCOUXqSCkr21UNNTXDH X9ZPBf2DXuy0j3G7ZwmlAiafRXFTf9y2LH0pIHwcmh2uxD3uwJ8CQuMeNBlz ncac09OaCJ46edm78eJ+zl6WCAy1kjij+XE/cMxMBEJUg0/bhXCjNzwTQYvL VcEL0rjL8iUTwYHbfP/RaOEW+5OZAByPTah89P63zz84HuhH3O2kmcVdtf4y FrAXUx23msftzOoQC8Z6Pj5s+Yk7VMU0FtynYyTxXcMd1S8fC2wCGs/vk5zB XOC7HwO8PEVjV9hxB+u5x4Bca5L7g1q4w429osHWlcztZIB7Pi0/ErhVJns3 1OLmKUyLBIRzcYd/NOBOaY6MBAc5Q7jPteGWYnKLBMzbzsoNn3FLMitHgvPv 1WLnlnGXtU9FAJuja1JneYUwWzfzRIDJaQXnOj/cGY4fw4FCcmfa6Ve4vxe9 DQcpevod4cG497aSw4Fh2xMe00jcKcn+4WC4IKWdNB33kI5+OOh1/ct1FeA2 vLcfBuoYKlqa1nBfKb4eBtIunT3eYSyMGQwdDAV1GlTeu/dx89n/CQET9ybn T5njlpJfCAG8XpEVvja4Qw80hYCMxu3bqCvufhaPEJB5vS6mOAK32quVYJBj fJM5rgn38tWxIPDex5HhobAIfv+JkVfAT8dUlXQdN/3bu/5AYiQ1169DFO+M Aj4g5lT8+w5VMcz+PHFewKMmKEa1HPcIv5wnUD+uk9nKdxY/P+jvBuRtmu4w /IcbTb3jApLZTfja13EX3DZ2Anz12VEad87h71fRlj0IFa473QtwE8Znn4AH q2Q9LafP46affgxMCn9z/ReC+/tMoTWw9rq5pxKGG/XOsAaON0s+07zGzSUQ bQ381x2DQ6P+nfdxswZ50tu70Yn/etw1a7Bduz+Y9fbfPt4xKxDaSxPU0PRv XzSTFYhLf2Tu2/Kvsx60AukOnZeV2nCnpO9Ygg/MoTttnf/cNm4JRvSZzPsG /s0/KrAEApOslycm/+3b1LAEYiXPODKm/3lGwRLI+HzdNpvFbTQiaQnUBBIL fsz/e30jHJbAzoqLY2Xln0//sgBusi+2i1b/WWPSAvgcnuh3WP+3z/mzBYjJ T3+1tfXv9XyHFiDNk+xhxc6/zlFiAd7eMFNw2/vXTXIsQAlP4wm5v//6+wQL AFb5t/f3/+3/G2oB/gfbpI9S "]]}, Annotation[#, "Charting`Private`Tag$30145#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwBkQJu/SFib1JlAgAAACgAAAACAAAACM1nk7Z1mz5Jv/yZeYLav2Aigk1X IHk/G+rG3miC2r80E1ufGh+IPwU/R7E6gtq/E4LllNXqkj/FRZGV4YHav/1n kW8l1po/VXks60SB2r8s72SO/2efP8jwC2TXgNq/iIbbLLBIpD/Vhfyvu3/a v/Mq83IL/6Q/rpn2Xop/2r/zqLWZXrynP7SQFROxftq/VQlB0nhhqz/FBZ8a fH3av2sBaF3Mh68/TlJANeN72r+WD3pAfCWxP1BYjGetetq/UvEOh/5Msz/j mMbcl3jav+iYR8H0abQ/tn9opG932r+MZP1c8/u1P5SZJGasddq/ZjV54iIl uT8bs/O+unHavy0CyA3Gv7o/VpL4dnpv2r8ak9TL7UO8P27b6hFSbdq/1ryk v9QowD9Eoh45z2bav1V8GWb0fMA/NqltzrBl2r/U4FUd9EXBP2xbfz7jYtq/ HfpZr+TIwT8z/9aU52DavzUXI0kAV8M/X1y9FuBa2r+6eIdusYzDP+zM3HcF Wtq/UL+PmkclxD8GnmeZglfav5p8tEMSC8Y/2NZRfA5P2r8H2+In7R/JP77a R1O+P9q/2MC9dezoyT8SJ0IlhTvav/B2wu1SS8o/OrTQwGM52r+CEYtGuEfL P9II85S7M9q/fbvdPRy8zD9vPGVeHyvav8i+L83fmc8/aNSL4RAZ2r+9dIHf rhjQP/7Am40cFdq/j0RqyCCZ0D/5t4/YMA7av27QEmfyRdE/BDMTop8E2r/3 5fUzPvfSP2rBix/n6tm/haTDolo80z9fXdFymebZv1j8ev01odM/+yrcXDHg 2b8XGVKa72nUPx+q42IR09m/5lDgJQX41D9LL6LQecnZv/+zXTE= "]], LineBox[{{0.34054248340486104`, -0.40202202329405495`}, { 0.39257322403060796`, -0.3980582041009718}, { 0.39922312899433554`, -0.3975127099991431}, { 0.40587303395806307`, -0.3969584938579592}, { 0.41917284388551823`, -0.395823985066311}, { 0.4429685219864758, -0.39370593745123567`}}], LineBox[CompressedData[" 1:eJwd0nc41W8YBvAjI9krSbJDMiNEdb4kIUpW+EkiUUZIIYrsyo6UrEqolBFl vg9SZGWEE4VsmkJZ6fd9/eX6XPdzP897ziHmcM7UaR2FQpmmo1Dw34AmPo0Q jU/UjBq9saGtH4CHusGOXWGIGhuo/PNpGw20pJI0I08NUd3umkwdf0WD2LlH s5c6hqgOHd7PLPJpoJrQ7eTw5DM1VmFqNTeQBs/GirRqro5Q/905rhHCQQNO SUblzrQRKq9wvvjwehp03tah39YyQpWrN/Des9ILak9+OpzXHKXa+H5yzxvq BZb4GYa9aJTqPTxS2oZ6oYk+TIHCO0aNupC7bcOjXuDf28/z7s04VemyYuVO lV5ok5Vxqn4zRX0SO/yo90gPaG6car0oNk31dDoUuKzaA4aS7rqTJ6epreXt dgxiPWAuX9rB7TBNZZ4QDfoj2gO/Xis/Zh2dpvpEpYe0/OkGG6F75pfkvlAb 33T1hA11Q+Lb6NM2r79Qo32aD4oXdINh4bEIduavVDv5AtrE7W446j2uDrJf qU3F7TPHYrrh4kjczEHbb9SdO+auhUt3QyZrcyj3gZ/Ui2WpoavM70FS1vvW F+9Zql6OLi0itQOkN+nl87LNUYv1iyY0tnaAx9j2kZJni9SV93+Dh+jewpDd B+bat4vUvCezx5a7G8GMFqXQOrpItXrDviD1uBE0mif8xwSXqKKrnWrPTRsh 60QsyzbnJeq17HdW3LQGKOU/l/D2yhJ19tDTMZbiBjAJiUEsT5eovhrBYY4u DXBN+Wu9A/0yNSuGYZfK4Bv4/HvO47L9MvVO8bLkgUNvoJZ3853dXH+pQgcy QkWKX4FqTCM6sOMvlZK9aeONa68gh8lv9KjeX6p++Oo7wZOvIHqxR/Fs4F+q fY5Cfx7XK7AcTHqTOvmXGl3IlB7jVQfTj7nmlmtWqQu1WrPjmrXAIhYmPahB IRba+hlefaqGQs47NVwHKEQEXbChaUY1RFhlqG81pRAmytl0r22qQVgpryjK lUK4Xgoc1KJVQV9KiSwtnUJsLzSom/1QCXqmnyUmZynEd6JTwmBXBchtdx14 s46OGE89KZH6tRz8NEpGZNnpiCIWsxu21eXQclt6e00LHfHz4su9cZYv4HyT f58qjY6YadC2P7rtBei3a+9eHaMjsjh26rhPlwLaJZIw/4eOaHxlMBWaUQpV F+PPlCmvI4ZYDqmPPSuBp+aLjwpvrSMmJ3PLPwo/h1iuZtl79vRE3ovRmGnd QihX31p62IO01thQC38hjNqdo64E0BOedb4TOzsLQOspr/mxFHqi5kR75eDW AhhpYEo63EZP1Ou4a4VWP4VHdEz6cX/oiQd3tz2KfJUPB/kjkhU1GQj2pO/b mxSfQL7Xi60BugzEiqd5Vu3sY7BZyZvpsmQgzH59MuK//hje2F0dC3JkIIYL 24PsdB7DTxG1RUVvBsKTqbh4749HkFF1RXw8j4GgGM3dKKnLg4V5zgum/IxE sNIZY6GYHJDY6vDvnwQjYb/3OV+OQQ5QjbygS5mREC3ZGSjHlAMPE60ymI0Z iZpq4rlv6ENwkzlAn2/NSKhtfiaRq/8QeLTKph76MBKUdzsktjZnw+7pxVoU ykg4hEgb94dlA1u3brRwMSPB1Cmx/nrFA3jqslNwxwwjwcWfY+Wfex9ocWHZ tFVGQil8n3uhx31geNmjEMHGRNjv9wmJVLsP2sYx08PSTATN/h87S+M9YL7/ yi3FjokwCdSKOfMrC65c0JEuymIipNLinBTpssCcL9N4YxMTwa+A0ve/z4Ay 22qDyx+YiJ/HWfsbXTKg2MZDaHCcichq/Y+Nnz0D6Psi/Svo1hOUNJ6F7Vbp kE2rUPFSX08QUtxhV5buwu/5zpOB2euJUUXFqvOn7kBs8lNLo8L1RHD//oXj ondAzUKTsaKa7Mtpqg103YbI92YOybT1RNb6Kzev7b0NMl0RQkYczISovPBZ oy0pMCfxyfqVPzOxs5/utcNqEvDE+1OlI8m8ZzjnGkqCiiNM35OSmIlg+9QT B4KSgPWdyCHPAmaipv/a4uq6JMhvNWWUHmMmCBt3I23em/C9qcw/yWQDMfT+ 2yMdiwT4/k3HYuD4BuJXgoIju1gC7DPs7DnnSuase4McvsZD3NsvKociNhA1 N6P8WSLiQalR+Dtd1QaCeD3s43U1Dq64P7mVJcNCiMR7+B5LiwbhUT2m3yos BHG3vl7CLBqa1214HEiwEBQOk7/b6aPhTh+7wqg1C6HX63Wp3fEGfKhIDs6+ wUIEX/v8QEXtOmgX5mR8+EH2dzq7EP8i4Xubi479CgtRs16rg1IVCYmf9dcl M7ESZaJPtXrDI8EANu4t42ElNvtcFDXTi4R52QL5OTFWgmj8OzTwOwIePXxZ xWHOSlB0b270WwoH7ruNffvLyPxE5GiARBig8utXmurJPGTsVNaXUHClGYkf 7SD9Ztu3MyWh0OIqWDo1xkrsDjAeUP4vFH5X18itLrISXc/2T4czhYJ//IcF PyE2gjL54Pr+iyHwOXya/1kwGxHMX8q++UcwxGbnV6jGsBFEZ+LFkppgQEom hlmp5LyBL9+9uGBIpsw+bCwm58023yjVCAaDgGXVkVHSXephMhuDoMiTzUzA gJ0ITvVWlLsRCC2pvP5PLUnrX0xPVQ+E8XrBTJ1TpAVdBXnHAiDO0rRLzIed 8M9v53SPCIDAQNVptyB2gvuRaT7f/gB4Q/3FURjDTvQHmx2RnrkEYbUHQmtL 2QlKvYjEX5ZLYMkT9PysOAdB0Sgyz2jwBc89ER/+KZJeOSewI9QXkpc62ZP3 chAsTwUH46i+ABV3D4EVmcteWOituAgyjmUjvHEcRDBFJpen8gIsPZ/hrV7m IHzo79rNDJ4HvoGF3aYbOIlg9S98DbnnocRvp+QpPk6i6szD1rhL5+ED/THn GkVOYpNtE18+23loYdihe9qFnD9rYGCt7A0tfKr1igFknhN4b+6bF3C3qQfc o3ESUfV3E2syPGHLutMVvsOcBCO8rjO+7Aldj7xrdv/E/ZvjvEc8gSGIYCpm 5CJ/70jvb9PnQKPrsOlHUdKlEme1EjzgXoDrtNIx0vtOlk2yu8GlhIm/4ce5 iHfI0mTwjSvUMOQxDjqSubjkwvlgV7AUecfr5clFqF5eIY7+OQtqxhd/hUdy EaN8nboT9GchMyrPf18cF0H9sK5juPQMpNYfqb9XRfZfNJSWzzvD2EPbtoU6 LmJ+6ORRhQpnKDeOHjzylszlaKUGQc5A62lc+ttN+nLFkjurM/BPaSvb/CAt MW69a8dpIHbXNqWLcxPO9zicPoScAnHTzidnZLgJyo6AbimLU1B0y7O8RoH0 t+eipRKnIE1mr9z4bm7C2MXGSqHNEeRvHFhtMucmFPbMb2RkcoRMGYcHFWe5 ic6DP/PV3B3guqWAX2gk2W+qzHuefRJCMleOzn0lvW9JKcvNDo5EBweoznAT AZGcA6t77EC49nyCwyKZ1/HKsA0fh4rh6fZ2Rh6CsnQk2cDmOFxvul3vIshD RCT92CwXbAsv94eaPBXmIQYPnr+0YGoLtT674gekeYgTVRrDx//8Bw75pcan Tch+MH+cv6MNKO31ck+3JM3x7tBRGRvICUyMzbPmIboGXklks9rAZx59G+8z PARfwYcjL/2sgV6ecUUlhIfIbmk50XnHCrTLPQxoz8k+23Wr13OWwGEoe4az gnTggT/2dZbwsW8sSq+GtAAdU2C8Jfit2DaWtJDWjf0kq2AJUcxtrp8neIjP dBZaEXYWIPpG+oDhJl6CIlXZqb/eHDq6VjYUXeIluASSWS5GHIWkJPl13UG8 hMjGIoY556OwgZK+bncUOV+oFpuidhR45K3rS5NJ207EPpg0gW2RHQcLCkn7 vJ8LOGoChlp1h++Pk84LNbE/exgyj6QV2H/jJYL6LJtDpQ6DmcsVLpE5Mq8q Fzs2Ygy2yZqdd+n4CAot2oXxhDF4/Ci2SBYibTI5YWBnBDcfPLCNMiX9M66x 85IhCFRcrdazJm2baMatbQhp7SeEGe1J21+JGl5vCDl/twxddScdfOO0WooB lB1LcgyIIl1z1Ni3Sh8GioKf+SM+gjfw9GilyEGQ8jntZy67kaAwPDZ/oq0L 8pqDZplKpH3UbfYK6kILzTJ3Wm0jsf75Ty2p2f2gE20wHrSfzM2v7mLJ2Q/V JQaelbYbiSvvUn5d4dwPt97/UlwXR+bMon6zv7QhPdWV1TiZ9FycRkW7NmTb j46n3CVdcuxU6zNtKP7anS6fR1rj1mK3qza0MZSzWteSzqv2+m+KAMZdQRMF s6Qb8weUR6jAtvynbmkRz39XzcqlQodt3Bd7Cj/hwqQukORKBVFjB4t+Nn6C QiF05//sgz1OB14xSZEu453J5tsHPsmsmcetSMsslt06tQdG51MsWatJC5QL 8hzbDfe1Vc5/ekVa366jZdtuOBHTFlfQRNp+n+LCnAb0STK+NaORjjI2TkvS gA4zb620WdJD0q+WaOqAioxE5WU3ke/X8Re9oAaBfyf2/FMiXSa15GCoBrsN Qq071Em3fyIYRdWgZKg88cIB0jW6h51adsFjTmlGZE9aI+uA//ZdkOJON304 hbSfBZfMnAqYl6cxiWWQpt1vW2xTAR5GDYnZbLyvUX3rYxWITfOwTSnG991p FidVIKy5v22wlbSLgKdf107w3P7iuSeDAPl5E0b7XiuD4djZy4lepIkRXv8q RdC7LJGv60e65jrT6zBF0Nn4se/3FdJcvRfDjBVB84Cxxn/ReN7jmvWQAsg+ VJyVyCUtOihBZVUAVqc5l9KPpD2jwvkvyMHgnoMnnEYEiAYxhW+KunLAkOz0 ZvM0mce7+UbzysFKfY/ElT+kC1nVY57vgMCvnV+o/JuJ2s44p+hPstAyetmc dnAz+Z7mr+6J26ExUC30+mHS9r09+s7boZ7vR9EeC9IUwxH/PdvBUTWP857D ZiJStdS4f0IG8rN1ms5cJvN4jmMROjJw5kX+lcHizcSVJc+/l9dLw60o/U/V IoKEz92HVjeRJLTsGH1vKylIvn9K2TBXEkKfXM74Li9IDBy0ikjylYTfLDv3 t6gKEu0ZBpBsIQlsEQPHzu8RJEzrSu/uU5IE5G298k1XkHgn/PKg+HpJ0BHd cZHXhNz3M33fpg4JGJ/1GHUNEiRcfrve+T4nDqLHPKyNMwWJj24cz71dxUHo /aLF7Bg5X9N26vseMUjdYvxP+SvuS295KSEGWjmH/gr/FiTSm+dTOVZEgf+X 3vK3VTJXuuLL/0EUuLiSsiY3bSH76xKnfUWB3kjhyycD0kNeCxGXRGD6lUNw 41PS9oZ7FN8KgUgC7WxsCfbMR9Z0ITC3O2xhXonnrT5peAmBIcuBH7nNW4gn VqhFeIMQHJZaviMyuIXYEkhVE4jbAony3O//jOB7nZoVnltAKwWkpQWFyN/D /zV1hyBEnxV6Fx5BeoiyHP5+E9SqJ5YfisF5dPH+ok3wm4E5mzuJdPCCOzV2 E9hnzvql38P5x8Xv+ptA9X2TeGkVaUJ1XLSWHz7t9b84+ot0zbl7zlUbQYG7 Z+v+E1vJ/d7p3v28MB4zHpLsRJrwr5mt4YV0lj8TE66k7UdmM3J4gY1BoDja jzSl85i3Ny9M/7bW60nAffEmBjZeePjxk8eZemwV+tt6PCCUNwZx24XJ+Tss N3u54L3kb8lhRdLBB7haarngxj2m66pqpImeNKl8LlhKlTb/oEPa/qAt9SoX 0GLOTIrbks7SYFmU44Kb579xvYjF/f2pL/g4gYU6f/LjLHb9gzcv2MBPW4b5 xRLed31XfRwbjO//71kcnQj5eZOmKGfYoE6/dkmHkzRxemiXEBtcMo25+UgW 5+LHroazwhenba8vnsQ+9EvLkQVaoi1kuN+Rpsj/stFnBs24qLbpbtLBG/3O yDBDXkKlT/1HPB/A95iZGcJuidX6TuO8clvN2/Ug3P5b7sc6UfLe4Oiuw+uh 50Pdawth7OGV5RNMcPCbzR9xC9I1j969yGaADL7QriArnDtHDV5ngDmtJwUf /8O5QLeCFwNkXV92vuUgin9fEWIfAyxJp9E2eJIOVjks1UcP+Q6fyn9ex33F g28F6IGLdiIQ1eBckaW+gA5O/4u02lKP99XpHUylgyqpQlW/Brxv66OpMDo4 c4HyTbkN52wcN2zooI7n3vGH/bhf9FJzPR34GA/vi/6N8+pKsdMUoNWdorOR EyPzxZpwr1X0U7tP8LIiduQNiskqWl97RDVrJ/bvU7kKq0gNNJ3HNUhTdmv4 ff2Lkiq5Wr0P4HxZQuTsX3SkpOr2DTvswgwD9xX05iGfUnU8npfNdkxYQgOS 1w2GbmLHBY77LKH5B/8c6FPwfNa7GKslJHl/OtkgHefy7AaiSygko2a5+xHO mzjcihbRvhS3hu912GeT1PoWUGlUvZ3oPHaJSYjuH5Rn2CwQuYD7KkbSsn9Q Kltn57dlnH/58YPzDwqOH9SrXCdOOsjkS/9vZHR7ScGSizQlzyPswm80nKv0 78YOnLuIchfMI46GtMw/J7F7jyhqziG6aw+s7ZywM1dGJObQnOFj3tcuuK/G +IJ9Dn1oexmZeA7nPheLPs+i7J7Oc/KXcX6Wnu7GLNIcZyYcb2Obcn0a/oVO M14YamvD8yYsZ3NmkKDI297lDpy7VpYnzaA2ja3vZLqx/dOEQ2eQmtvr6pB+ PF/oJ20/g5i6Nt5Vm8S+4Lpzywx6mPXCIoNOgvT9E3zJP9Go1kKTuyppirJE ssIPdNvCqC5VHVuXspHrBzI6l1XeoIkdG1k28x2V3NfPE9PG1us6U/odhW24 E95tjN0n6bnvO5Ls3U3sdcZeah62/IYcvQNK2VKxWWyls74gtZ0DpdvTsV87 6kd8QSy/iBd6WdgJjhFuX1ChF9PL4Bxsl1Kr3V/QimdC2Vwxtkac6ftpdOtc buXHZuwX+wI4p9Fbt67a/L/YIdb5dyZRmpxa3VuKJOlGJ+nQSeT59XbdOD22 0+ZKt0nE72b3SpQFm7q4g5hEDq5T9Un82MkaSpMTaOXMv4ZARez7O/L2TCBF 5x1tRiexX5he/z2GBs6InHt6CvtBrtrnMRTtxsvF4YJdULvcPIamvJaPvvPA 1oR398bQg8Dm7qOB2F26dw+PoU2Jrp8sU7Av78vOH0X/qp58tW/Fjp166D+C nkFmTG07dmujvPMIsq27qSD+HvtoWpP5CCpvCPAc6cOeKtRRGkHnOw/NOU1i xyRvnxxGExNfls/Sb8Pf56+K/4bROx451gu7sZfFdh/9jPa5u0/d3bPm3n06 n9GzhmcNdVRsBg5zlc8oNlA5jEsPe6ggf+NnZDSu9veJKfbwa77+IdRUrv1j 2BV73q3QZQi9tj/WZZKBHauusXUQqVbeLvK9h53PPbhuEGVv7IvLyMZ2y8ya HEBhTbZGXx9j81mdLxlAOqoOryNfYjt0mxkPoJr17i9RO/Z90/HQT6jyWchd OXop0gsLofQfEZORhWAKEzZLp8V0Pzo6JX2HjgVbtlanox9NSLTe6uHC5rF1 z+xHvHc2JQYLY9/vpdvbj1xD86Pe78Z2UGe93Ie2WPVcCPTEjnd4xfkBnZ7P mxs/j73aV75IQ0WJAeeP+mIT4Q0jNHSwVdRL6sra/lXpMho6r+Pq1n4DO9Vt 6SQNNctRHCVzsQ13tpb3ogA6WZOWT9i68V7+PWhcl5Um9Xnt3mGf0z3IJOrr iauj2Po61816kCRnwTm1L9hKHj/ke1CLkGpc1gL2C+e0kW4krLGvzYdXmvSl UnfTblTnYWq01QCbT9Nm73vE8vGSvkcJtgAnv24nUvN9xB73ElvutK5aJzrJ Q+ssqMCe1A6S6URl+ruOz9Rgi5sJsnei06U/vHxasafdR3s6UG3sqbuXxrEr DKrdOpCf9uHvEQIypAd6Ze+1o7EcsaTMQGw5ln7zNvQ17PMifTC2bszgnjb0 y+HeCZfQtfz1kmQbooiI7VC+jp034zPfigRTROvqUrADwy+ktCKTSJGfY8XY ShaJgy2oynmrkdwUdk3kraBmlCSzmaHcYjv+/+RkWGpEtnZSuSNW2Gy6epON SDJJxZDDFpsrIaWnEZX8M453dMDWUHd+3oje94QIcZzDdttc7t6IeMO/qjpG Yaf5CI41oMTP4MReiU0MeQ68QfGppxtOisrie2NRC/XI92LI+UAJ7Lk29+l6 ZGeaIZIihS3Hb/exHsmx9Pi2yK35pn1NPXrrf0BGfTf2bbGvUfVonbXkNTZT bA0vPqF6dGHTsOHLUOx6fUfDV8gm6Xgb2wS2ff94fS0Ses6yxXUa29bTpqwW DXa8dH77DTvwAe1JLTrFyUMXMYcdVj6XWIs8rr9R+Ue3g3RZ6OOTtSgkWPHO jBB24X16ulr0yI3uVI8ptgyT9MEatKD7cDETYcdrWg9Uo8DKzND6WmyrUxbN 1YiyM5V9qh47mMu+rBqtF4kT29mMLfAyK7Ea8S/6GdT3YhODrQerkcpTozuT P7GZ01tKqpDHxjkNZQk5bC2mO5VoZEzHry4Sm+YyGlmOdDLb7svewG5/2n6x HGVZ2bQmxmJzZTc5lSO7Zi9xx2RsfdeJ/eWorzCrhf4B9hDLK0o56gxYFT2A sE1y/wSWoTruircNc2v9Krqgl+j+XuUtrSflSfuBUG4pqjvMErp8ClumjjG1 FA2fGJne7oLtSV2ILkUSIckVER7YZbGL3qUo+82iNRGAzXXXjVqKHh6pu/08 Cbv9NntfCco7acaf2oCt8YmRvwQ9Db/A7SyvgN9nuye3GEVaOB6in1/zCrNi Idr18d6jyFZF/F7u4IEn6Pb2u09bDynh+1snzfNQUE3M7UPl2PaH4/kfIuMt Fg+bJJXx/Kqu032k7dHwH/c1bC5BN2oWyhRykGyZx645/DwoDUm+yr11+L+d pEWDZg3uoHj5OtlOhE0IfIi5hU7PMnS8lVXB+wtOLN1EDkW/RK/FYWcl/hpO QG4hZiuGCdiUfo2+BHTBrKSX7eZarh3WkYCi5i/Ext9a65vK1iSgZ7sXl1PS 1+Z5nqcnoMXafz05T7AJlRLrBBTfyRZT34AtGna8Ox6lPnB3iXiLPXSLaI1H D3za9us3Ywcfk3kdj17wxy81t631RxhL49FHG16Xru61++ULSfFIemTz/uGR tX0RFRbxSKnkknD22Np9oQnjeKQZ3r/oNLGW6wroxSMj6fTCqWnsmvlItXjk 7SoqPDOztr8pbVM8CtxzdbF4du09m75xxqNw9uH3PvNr96q0mePR7YIHNxYW 1vYH/pyJQ/eDGZwrltb6QiXDcejJUSedwJW197sFd8WhEvE3W/etrt0LsKiP Q2hWavHfv7V5BZXSOPQ/9vrVRQ== "]]}, Annotation[#, "Charting`Private`Tag$30145#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwd0Hs0lXkXB/BzIrlE0iQjUSLX0U0xJ7XPm9tIRTISjSlTzqTBK0PplRpZ uU5FFycTEmmkiNBlXrYj5J7L6y53Qy7jHAfH83vI+8z8sdd3fdZea6/13Zs8 /ZzOLGOxWDxm/k7ZOt7twsDf9u3POmLX+AWNJ7XDDh3bGAzDP2pY1zM2XeOe oq4VCabSzaJyxiG6A9PeD+6CX9EjwTPG9jePX97vfB8SOaG6DxkXcxWFCY9T YSRDcNyfsWNZaaWSVBr0CSyMPBmXb08bUV14DGp2GqF7GW94pJnL2pgJC1vS /6XMOCc5b2bS4DnM16YH166hkZw72C3i5cA+FpWdxvghuztKYp0LjtKc46cZ O4mUIj4ffAk/N2rKyjEe5dsKZs7mQ0TMs7vNKjTGnl48IaYL4AtroV7Y3070 uyPUegPVH9G0bjWNT5d2tEut/wOoAHW1w4zHHtxpv2n5X9AmIxwWY/Md+V7e wQgT0zExa5VpZLdJW8b5l8D1gaFDGatoVH32SlPBXwAL2auGlpRobA5ilSlM lEK2c6E3pUhjn4t2WF7aO0jXl3E5z1jjosBZdLYMLGTxSedKGhND8i1VFCpg qTjkZIQCjSu6BvQmtaqguS/MXSBLY3tJUeDEaBV8k3j91OIKGoVBpZNO9tXg MaN+OZFx2OoYm9e2NdAjXlt9W4ZGBd/3e+pyamGXk6mTynIajV9wNe9a14PL yuj3llI03pN7e2+E9wFuLK9tn2cz//JocQ9Qa4AZR4vn0oxdPA7piEMa4G3Z T/+RZ9H4/ZX0U4/KG+Cw+sLS4SWCvg0qvGnrRnBpnVwh/ZmgyoPKZaK2JjCV aunPpgiq/eBcYPV1MzzO7Cq/PU/wZXiUDKY2w8Y0hzffSQgW8kKTp87+Dxz6 HfyoGYLvbdp3XipogW1JHd3vhQQbxl4Lzy62gFmX6umeKYLroGidyttWsP3h abnZJMHU6hT/ca0O6OHJ5SYMEZzhFxj2xnZA4afcrdMDBG14NYNNVAfsiO5P tu4nOCEl+fZtcydEizoc2j4SNN97mBMV0Q1KECmV0UpQKcb1ndlUL3in6yUL K5g+IOehaNIHrkXG/M4ygnu23OFEnO6DtlDtXUWlBG/MZIovNfaBcUSag08x QdO4ljOeWf3w7w+OysEFBLOHc/eU/DII9i/dJWkPCa7SWb696cEgrOSFRp1K IdjE3y+lW8v4gJKDYRLB3VlCzwDOEFxRdD4/mkBQ/pZIem/xEBTXNe/0jSNY LRVuwlozDHKCykzLXwmq7u1S+VDxJ3xOscqLCCJYb6h/pqjiEwTslmN32hHk rP1UF7RpDE4qDBfFWxE8oONjNXpqDK75rFtI5BJ0/qqgcbXnGOyb2uDDZzxd vv2pwtAYcNjRSd+ZE3TTSHW+ZDwOsaMD9S92EoyvivVyKx8HGemFvwQGzL0X x64ryk7AuDiy2UKX4JHzf5qh4QQkbG0QD2gTDBq8KbI9MQlLyUYxJkoEUxRq rq22FkK77NWhq00UepdcOnHVQwiu9oYD8fUUdvsa7Zq6IAQPk/Ce5GoK/UIO XWl7KoQtNa900kopjOMftItUFsHSxy/rf8yj8JpuvdJSlwg8fvvKv/EWhU44 csQpRAwG/KOVfrYUHguc/8cXUx3/MV9ao7s6XQxtXVa/UEBhZZWXZmarGAZ0 Xpnn7aZQ33nh0RnODHwT/yawdzOFzzVP5AyzZyFQQeKmvziP3vGXixtuzYGs UeuOa1nz6DtsMJifTYGfmdGGixIJ9nl0yAqqKND+PSuRCCV4tD3SpG6IgozN nIygMQma14wED6sTUGIP/+T+UYIPv78hr8sjcGHlrdqsagkWqPrFVYUSeFJo E95XJkHHsF+L5Z8TOLA1keP8RoJR2yfKPKVoWL8p8GpOmgT752Z8L5+kIcDe Zc41VoKCNV/e/1p5EXoNF3y81ktQflO4Xq85i8t9bZRrt2UOX6y6X6JszeL+ VR3XL6M1h9ddk802OLG4Lju3hVqsm0PNbb/nRp5jcd+NXuj7vGIOOxPyDduT WNzo8aNN9z7Noo1T/+ZRMYur3/istDh/Fo0NzvVULGNz3X5udUvKmsWL5vmD hopsrped7m25x7NYy9czKKllc0Mz81QERrPo/rpwaHiM2T/hG1mozeL/Afns ek0= "]], LineBox[{{2.252451401427962, -1.3142655361157185`}, { 2.288501476144168, -1.3016158950431314`}, { 2.4100163241570103`, -1.2589774477041735`}, { 2.6624075685589377`, -1.1704156714337697`}}], LineBox[CompressedData[" 1:eJwl1nk0lW0XBvCDeIXKPMcJmckUKulJEkIylaFMiSKklIREmUMlpAwZSilT JNGzkeiY5xAlhGSehXzPfb6/rN+6rr3vfc5aZy27HDxMnGhJJFIeDYmE/rZk vckrO0+PMYRGx196PgfJRoW2QzxM2GBxVkZsySRMfgz4FCXBhMlz6VRppExC jVTXVec1JuzDmVaTEzITUODJYsqrtw0bzg6q+CoyBs9uuo4rnGLFFOJ9766T ByEodf3kwgQbpmRTyfmzqAdORAXeVJllw2jmM06eSOoBocor9x1W2TBMc8pK x7kHPgyOt7TQs2NjDvPR2/l7IKIusdqFnx2znLpjs/NJN5QcCTZ+I0SY9tn7 psBuqLy6N/a7BDt2Z4Puyna9bnB4XWx43pgd80zUctQ0/QqHS931ut+yY2nf Tqmc2NYJ2/WlL+z4wI5FRftFTv3ugL7eX2E6FezYyq7Smdc1HeCzbvOlqIEd e710KzU0sAPCGJtcf46yYw9Navh4f7cDuUbiqD4PB0Z6bzm4d6QNWtvXtxb4 cmB0M8uTAwMtEBcnR9t5iwPzeRAVyF3bAltJybT7wjgw3sqXc1LJLcAuZ1ld /IgDayHv/GBh1QK7Q1uP5eVzYKwV1hfs3zSD/oEqo/QRDsxuW+w/Ul4jPMzI sAkz4cQUbrf1mi1QgPfD7Y86lpzYcF0KQ2oZBZ622ArR23Fisa2Fj7WCKfB8 Q2Dg9iVOLJuF6794Dgq8PxXneDOME1v5507jrv4FvhcE5t7AObFMxaiwiAc1 IH71vI+ZNBemEG0uzxLxCeT2/zBNVeDCvtSf5vS0/QQN3RYvxlW5MBEljlaB vZ9AK0pv5NYRLixzN6ne5mcVfCzS8yyz4cJSdltyT2tUQXzH3B7aGC5Mm7mM Z5O2EpKTXJkNHxEO7h5Y7auATLvhkYQnXBj5lJOURkkFFE50JstlE/ukH++N d6uApi2lzJaVXJiPhXO/YjEA/d5bo3nzXBjjz90qaqEfgWVtuervKmGVNpW+ Ix+h1Sbmjx2JG5PdzVM2tlkOZEMH828s3Fj+w8N2k37loOF09BODODfmI8by bNS3DK4+Yk49c5obY53+upMhphSGFxMsmD9yY8b0XyaPcryD9MPKV/o/cWMz 1z1Gub8Vg+29ppi8Om7Mbhm3dMsohl4xeoppNzdWYcrP8WxvMbSaeh14Os+N kU9Ev+O1KwK8wIAsJ82DKeTrml1vKAS/jVGNTQUejJTczCr2tBD26QVbtqrx YIGeB0Z13AqhaKD0gfdRHixtxt7oz7ZCeLVDgh6348EwpQ72eIsCSLhEM26U QPS1uWusVvPArPQpw64UHsyOvOtz+vM8YKdXF53PJMzY2PDBLA+in7rbJBQS 84tuPGZvc+FO/bemH42Ec2T61268AU+pd289t/Bidokl8y9kckD/10X/B5d5 MXKAwAdurheg4y/6WtuHFxv4EJFztPc5aHH19S4FEA5LLGBOew77jxqqW0fx YqTNbu9Tcs9BOmvPvOgLXgwz2yyqNcoCZqcFl+I+Yj/JWe1nTgb80Dhm6zTE i/l38+2YvZEBWx451fCNE/0Xg5/sdTNgvbpLNGCZF0t7vOvar5F08Jto+3OI mw87s9Jh7b4jHRqG/c26j/FhJAf/MpGaNPjipxocYUSYfrW08EkaVHNOF2iY E+6UIRVeTgNHlewdzxz4MNVtzHR/hdLgdaZW3QV/PgxLuvZSdCMFLrx7HfCj kA/7V3muVTzjKcSH6fZ/FObH7mYd2nznkggNMsMdNmL8GCntrMEzzUQIzvFP mZLjx/qqo1xhLAGWmJSONKjwYz3fe0Tf5SQAS8j3U1c0+LGNXbZrWy8kAO5l uT6pzY9Fv9WVaBFOAC2yzDUOY34M43E1vQfxYFWPTRQE8WNP3T/YKIs+gqIM 3ovHwvixwFCVhvTlONA81/tLL5ofS0rE7ZQpcRDOcyM+7Qk/llk5LfDBMQ4U 9qonbi3ix06b9maK5z0EwY5V8/lfxL3yZjJJJg8gScBwU3GC8Onm2G+SD+DA 8+MbQkv8mLVp9rGA0fvAPaezNvmPyAM5JOly7wMra1zaGI8AFij+OTlrx32g M5D/068nQOR1w9qUGBj/5BD45Q3hKhPy/ZRIEL7ffTG6iPDlmPZN60gwO2tk blZGuMJeSIg/EvSZjk6/qBfA7C6ymzwPiAAj8bXHwj8EsH2VOuztlHB4IMfW sTxE9GvoBNufhsOBBJCQ4BfESBSO/5o/hYLnub3sk2TC5U9qbSND4bliznqh BGEhrkN3TEOBtSG+VXMv4YXy9du/QmCY5H7Twphw5hH93awhEHVRsPluCOHG 6uyPAXegUu1B6fF7hLHWgA6jO7C0hTGTLY7w98vxzsJ3wC513if5GeGXymob lcGg0lEnUlxOWG/lcyVLMPQfvHFteI7wV8d/CSW3QZ6ta+cR250YSazcoqko AEbujQQ9ciJM4lIiXQ2AZKbl0VFXwjUpMfXKAcCyhbcwyofw+Zj3ksX+ML5k qdN1H7lrvg33g6y+fvcL1YT/UrSzJnzBxnKqvayOcEO1S0WRL3B2/VPf3ko4 +4bLWX9fCGoWpnvbT1jEvWUnqy/YVdknrC8RfnWyM+TADRDM/gUxUkIYqZqG fjb7OnSILYkN7iGswFGa5XMdIp8xRKioEpb05KnTvQ5/kyTMerQIB9p6nRm/ Bt33LoyJ2BA2e/c0VukaPLwyyfoumvB+15LDXVeB6dCifd88YZI/u/A5L/A5 LMn47i/hqwID3RpeMHLEOjeGRhgjeT52n+Pygirdyr9aOwiXezVjlMvga3Lv 4UtpwppTOntULsMfp92fr9kTNjCXuM3vCVYup12NXQgrHHsRPusBXy5Gskl7 oJxlozDXAzI9Zs/0+xH28Z4ZlvYAmxsfl44kEm5Z2JMo7Q4NUeaSbM2E30fk 9h11g/0xYU3jnYRtJoqrmd0g+37Z1eo+wom5W1TbXOFO/K7K6+OEebO/59q5 glDLkuw0LZn4/QjItAdfhK6eqs/mQoTTfhbATxc4Nmm1LGJOOCy07/W8E6Rw BrffOk043+AwF8UJFg7k5PVZEy43P9af4gRpEWvO8Q6EO+Ruhh13gr8ST7u3 ehJWvz2u+PIcvHboL52JIMx7l8zi7Qi0EfTxhtGEJ2Se0Rk7wukCOa9X9wkb OI8byDgCPSlA+lwi4czevNZBBzibLPTkaxbhPsZL0eYOwNpt64dXENZtCpfX s4fzm6GnBaoJr/dpj0naQ7l4vopPLWFjHp4xRnu44E2aVGwizEo+VUKxgyr2 Z2eyvqG+PW2QkR1cNRzUjFoi3M20du3LWeiuOkdjJbuL+P54/1r7WMPM4V5+ /z2Eddv3Hde3hv8qT6ikKRHOliqNE7QGVdjvPKKO+qpWylVWEFfG2uh1lLBd em04mxWcKCpPjDxL2NPAZAlOQ00Wp8LHWMI+V0o3LSzgu1iE3sBDwt1HbbqU LGAxY9OBLoGw+t2U2e0WIJY+/kgvGVmjaL7WHIJSKtY6XxI23mrOfdAcNBPc aqeqCM/c17RWNoPisOqz5EXCZBVOUwMTyNav5w1dIaxAL2oiZwJJLG1tk2vo HtHF6O0mEBj7Q6eMVoTY960IWk+CQeJfeQtWwhXmL6esTsLgC4XNSBnCM4em tvsYQ+cFtdI5ecKxSwE5NsbwRUbziqUSYexFvv9hY3iTd3xUfB/hwHC+SmZj 8Ck531ypQ5i8et796AnYXvs0ddmeMMnFZ+2tIdCEZ1iedSKc9vqKf7AhLOi/ 4vjsgrxYbWNqCD1NJaEPPNA9vmoKCwaQ2dXmIedP2I7nIud+A9g/wog5JqJ+ wWPJLn04T+890NSE3mNku6+vC/zClK9rrSi/tN4rrgtN6jubJTtR/mregU4X VN0+fwz6hqzOJ/PxGDC0cz1RHUP7Z7fEKB+DrLR35ik0osT84ICmjA4MH1ip u6SCLPnq4BFtSDQ3qEpSI4xpOV8S1wYDj7TS2v2EyRsvGrdqQ1G6bvauw6hv oSnUegTubH18t9OQsF1g/qL9ERD7ug876EyYZFC6J0oLHL1uFrMkIUc9DCEd BlWl78VSyWg+vD/uNwZMc9g7nTTCFd4DtW0Y5F9mKAl8jt73oHuShcG65/33 C4WEBwL8pgwwiPd4UdZXj3KDVlHtQ0Bxa698vYGsb61N0YCnsqpVFJIY4R/q yRka4DmRWDVCRzgwNE4hQAO43c5+IjOh3FOMXkUDHFx/V8dxE64Yc7FKPwDr FzZr/fag/kGFs+H7YY+zTJOBPXJ2uFqAOny/IOzx5hzqqzwJtlGHKDcO1u0u aF9uC8MBdfh9ee1kszvqazMWrKhBhl9950k/wqTaW+HX1IDngWu/RQLy0ZX5 m6qwWZ4zYdeI+iJhojkqkAup9ypb0H4PLClGBWyqHsqLdKCcJlPjqgqU1t70 HOpF7zXI0WmqwJW24wtOY2hfQXF0uzKMjv5Zu0i3m8j3TdkwKEMzuyyz9z5k 3bQfYYqgeenS7ycayMWp+BVFyK3Nra06RLgifbHsrCJE+yneYdUhTFr+xrpX EQxGVDdyTAgHFksIDSlAXenh6UFX1L8X+1RbAT7bnWo3TkH9zgNtavKgUpZY cP0Z6qfv9+SUh0yu3piUTJR/fXZoVg7u1NkYTLxCecHFyzlyoKXi8Dm0BOWF RrwiclDx36USvAW50kuBVxbKcoOeyNKJE/0jptG7pYHBwJw/gQH5kJoBvTSc /C3xmIaJMInj8b5fUjAq2hjfxYpy2ofPsqSA4zHPg0AhlCvmJEtKgWvw67CO fcgGxbRqkiBwusvbzxP1/+u5dUUczi9mL4xcQXkK/uS0OBQ8uHnl5HWUK/B/ PygOxxrJl8UDUF6l0skoDle0XN1aIpEbBULSdkO9LMlR7AXyutHHLjG4SSNt 3NCPTPkyYSMKI9rM3eI/kYf8GnVEwThswvb2MPKYY4OCKIjtyPNQ/UPtM4vR i0KDoEpM2grynuS9eSIgpK7ZdJVDgrhH/2UpowhUuZsY7NRDZijjbCGDbKFy x3UD5IwTTh/JEL/IadN2gjDJpKTpFRlc/b66hlqgfLvzn7tk4IywiZx1RHmR pO5BMpzPOl/3OQB5ced3O2Fg6vPVdS+izvesGe0E1esvt8WUIJ/tc1bcCfbs 3W15H5BJD5c5dsJ73b1nZiuQpUxv9wjC+eLpy1cbkT1K1c8LQmX0uSe+I8gZ UywhAsT/I0ZTIbyShDtKGL/zQWaf39sXAsgNSzHVfNB8PcfnixDyMfW9OXwg nstIx7QbGRfq8eGDdv5PPPcUkWWYg7j4QH5B7fBDfeSR0r1mvPDr+a64VD/k ISeBEW6YuPNzlS4QuVHtYBM3zDk8s3UJRi5s9nvHDSThXTKKEcjsWWah3MCf QK6qSkD+q+kgzQ3GocIzvwqp73e3eHNBufNOA9nfyNK+I2RO+HS0vyB2Ajkp zIuFE+pEk3kWp5F1fXhWOODrD8Ghj0vU+9xzmjlg7pSg74ktUoTfTy7f4gBJ XYFsL2Hk5Qj6X+wQJ8m3pdQcmbaXtYINbM6Kvxg6jaw6lJHHBmJxyvrbbZB1 yHqpbFC0aRjr6IBs0E0JYIOOriDB7R7ILiXPNNmA4+6EimMYco11QiUrPPgJ TtvKkHuNtmTvACueRkZ1HHnMxT5yB4gY9uY4VCKfi+h33wGF7xdmS2qR7Y4p qe6AthipAIcOZEZPvZrtwKb5ML5kEpnVcdvENohNOl9rT5YmXN0xacAC168F XfETRU4UdFBhgbMmKcIJ4sisI9MCLCDL1HW9QRY5P+jUH2ag3DgqqbYP2eee aSQz0FqKhbOYIC/UDDczgTfPoH5JMLLGWPrFrWAzv7HUGoLcULzdfCtoN/Nl TIQjx12PPbQV2ENPru2Kpd7j0cm5FXKXKnKinlL3OzpUMMJYZyqLQzFyoKGX ACNYxZ1pYhlF1k6qGGAAwbdMAq7jyJxxOxsY4EdriTNlEpmxP7aEAc7tYKcJ WaD2J0qjGcA9okZ5k0YG/b6W2TUZIChwz+NZQeQ0EiWNHl660ZzrMkGeCYv2 3gJukbn5KhbIxn9uO24B+VfWGw8skcsdw05ugcLR4vgTdsgN6k1yW6Dc4SLl yyXk6t/7R+mg5XS7fFkYMvn2nTN0sKKdtZqKI7fkHDpFC35lqcHVlcjvM27o 0gJJKWnb72pq/qNyHy38JxyzS6keOX/YT5AWuFd99Kq/IgeeezJIA8pvDB6P zSDHPnW7TAPuXAvqiqKyhLPHlhJJMBc5VWUujsza8i2SBN60vw18pZBnhBsD SOA33W/3aQ+yZ1XHORJEUmrDzDWQAxOuKZIg2/9J9w1z5Iqq2ceb+NAvLZ+q UGo/UoPvH66V2pQuHYl8+vzq5gaedtqq8UE08pc3zSMb+Nn6yyKOj5DJzF+K NvDe/LQGugzq+zXDJzfwtpv/yEdx5LS1oth1vIrtA6V2gbq/aVJ4DU8/qCjQ aC+H7vcQvrWCVxkxBa+dQ575XuC2gg/aDo1LuSCTp82sVnDRoEcfQtyRv7xq 2LuCZ9asWmI3kbtfBU4u41knqhLfxiGvTP6xXcaz7U25k2qpebyN8RL+5q43 m7OcPPr+dQ1sFvAJjTNBdxWQwy61Gy7gsgva8xnKyJK/zx9awF85cHYO7ENm LSoUWcCzD71NtNJBttPu+z2PZ67OCBvZUvt9br7zeNIlN/m996l9euXMOTzU 3PE43SJ1/9wCzyyefqLPxmkF+f2tA8yzeLmeuXvtGvLYhXv/ZvC5g8fuR9Lu QZ9vt+mvGdxGXOYrByvy2Py5tzO40vKcg5gMcmx3wskZ/HtikO9Re+SK8R6Z aXxv37OXoY3IJAkhnwmcVd5lJa8FOU2dxWkCn7glf6y7HXkgeavJBJ4pWjYs 2Uu1lJLsBM7p2iFcN0Ld91795x/8rx/dcQaSAvp9XN5h9AfvYVat1OVDzj90 R2kcT5R68qbxOLKnboXoGL4wr5MVbEh1aQP7GH4Cn3u67wRyhdcozRjOYKof lWWCnBZybGAU9/ZbvehviWz3Jj95FDdpPiUp50ydpxUQGMVZvDkzooKQY2Xm hUfwWxX3Eo+XUu+p+Ws0jI/3V8StfqBa9+rhYdxibT72RTl1/vGK8jAuq2oV TldBnQ/cxTeMd+eI+5bVIM8cnx8awpUSwFqmAznwYPTNIXzk0qwQ8zT13t6z hYO4oYB5Vp2YIpoX99b4iScOy1dYiyMrKPIq/cSH3zB+m5BAZn1XJfET98PK WXfIIJO55Dl+4q+dRP1MFZE9fc+MD+BM+bMmfQeRjW/xJQ3gtdrRpCkL5ECR 0o0f+GH3Wmu2cGS79Iz3/fjf7t861RHI2K7OrH686AiL0vUoZNIY58N+XJzv JGN/DLUvAJf6cZbq3qLseOq+9+Wi/Xg339Q2LBN54N/JB32452fOCneg9j/F 3viGpwo6iDUsUve7/7rUg+9XlpF3WKY639y2B+/QW1BbWaH2F5qNe3DG6yHH xdapucOgcg/u2frKy49WCXnR/283joXMV8juoJo/PLwbH5y+c+aeJDK5pzT3 Ky726UW8kTUyiW6aowuPlauSbsOpjrU53o6fn9/SSpFWRu8tppe34A4Fc+Tw GORAC1XXRtwtyHRd/z4yFuJv1Yh7mxZ9ZXmITBJq0WvEwxa9o2PjqX3HBMlG PHff6lpCMjXXeTPSgK9WbnY9z6HOZ0yda8Bj21juVddSLR55oR5PyrjkEkJB rnCWt6rHM642HdGtp+b/vunX4++4Y//WN1H3MVvI1uN9Vhwu7Z3UvLJ6ug6X GOI7MjhEdc5dnzpcochXKPMX1cF1F+rw/Xe/rTqNUu9T4rOuww0kkvN/j1P3 LbcfrMO9XMlCs7NUa+F0dbifxu3Vwnmq140XKfjdbYMdVxep9xlPjlDwxLyM yJUVav5Kq46Cpwducf7wl/pe2loZBc856aTlt059jwN/Q8GLRGp2av77/77w VAqOz4uvbm5SbWJ7n4L/D/e+2aQ= "]]}, Annotation[#, "Charting`Private`Tag$30145#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV03k4lfsWB/DNlgzxvtknVMZuZpFLHRTrjQwRZYqDs822yJBDmdJ4k66c SEJmEtU5cg335CQ/xGkbIjLFwW1zZEumbcvQ4/7OH+tZz+eP9az1fJ9nKfuG OwYI0mi0n3D93fMSfYX1/B+aftGV8goIIFG6a5GQq1IsRMrUffHHrk4vrhxQ SAY3emeeH/bPD26FEQb3gK01a+qDnYfuKG5Tyobq3MQfmNja8/6pW6wCiIn3 DnTH9tW9+OyqcAlYS+80dcHeXyZ6eH3jEThuZ4ydwj5nEh26qlgBSu851iew 76//2Uhffgr7um3umWGvh5wcXWRVQtlYVIIRdqHAaPKqRRUs2h6yOIh9vCtN hT/4H2B1WRxQxf6UZdXEO1sD566WGezFTvH/5rm8UQuSya4exN/OCc9YUHwB 7vufCq/4k+jJ1j+H6Ht/h6DQ2KSP2L73+jvmzF+CzZ/HdAexv0U8EZ5lNcLr Zbn+WuyL7ZO2KwkIHIzWBkqw30+4yPMsmsAu3PTrXeyYZ+IvlgabgZP5OCsI 2yb9L+GlwhZweD4o44QtF9PkvHj2NXjHuNcdxc5JqDGXEm+DYNVeF3Hs7SMf 1eYU2XBq1WyrxI9EQ6gh+vMnNqjEk7FJ2E/Kslpmq9rhNkNfKhjbPtLei2ve Cb7TMcXa2Jmi9ZnTrG64Hb3zyGNfnAez3+Mn2R6YH8iuvI59hmm3fzmhByJO B5p7YXtdLvUpbu0BR2+Zr+bYYT1SrCWLd3CgXYXNwJbKfSO4ONgLfnXvTkb6 kCi7WDA//GgfOFqmvbTCrr6RLNxY1AdLKy++7MWuYyXmz599D701+m3N3iRy 1zcw/rLRD2ncc4e2YRe1F5yfVRyGKi5/xYtJIl5WreZ4yjBU9Kql7sO2ZHVw eteG4aUbU2HyRxJ9pq+61Pd9gFe/j6v6Yxua2BsnJ43C++/shlw9SdRTuSmo Nj8Ox4TKGyTc8b0gypTQmQAd2ZKBxh9IdEQ1wzjJfwI+hVRPR2Cn8iqW495N ANtEdqnbjUQGaf0Bvk//B0wbqfKrriS63K5to+fFAZ5jb3a1M4k0VLW3Cu5z QP2VgLULdm+WGV2lkwOltVV/rDiRiO8qIjAnOAnXJc1UMrCNdXPWq0wm4fn+ Pj8t7Hb6DR0aYwo+1AXfL3EgkbTJiFR3218Q9CAnz8GeRG811QMa2magWU+h kG2F53fNdF1Q5kJU/PeyQtiCeaTDzHEutDYmaldbkkjtgo2pegYXxtr99NYs 8D8cFS/irHHhfmrorDB2Ojsl0L11FgY0wrJlzEl0gfPzopXnHOgcTRyTABIV iHdc32mxAHUPbGXtD5PI1CTe8wpzAQoLEuPrD5FoNEzr0PzFBXBzE1tTwQ5P sLs8+GQB3K1L6ev6JErLOnniFrkIsSNbjCw9El1XeSu5NbIISsf0K8q1ScSC d9mfI5dhpWvfc/l9JKIV8+tH/r0MlcFdwxHKJMoSkhttL10GZ98N1RYlEr1h BypUDCyD+uiMVoAiidSdN4sDjHnA5J2cyJcj0S8KnpVTAiug2fnm1SdpEgWn X3rVc5cPToezxwbFcD4rxeONFXzorBK8RGDnuL6hVTbzIYg0AktRnL8cw/wO jw8Po6R1q7aTSOtx+R8n3FaBH/3hZYIQiZydK9m7Z1ZBpjlQInyLQOkHRrmB Sl8h44rYW/YGgXKKr81uGXyFoe9mPX9cJ1DYlAan5tc1eGuXG202QaAJ5rBI E3sNUt0s1p3GCOQ0dEuna3IN/pV1NdZvlECGHdOxU3vW4eDpd6yEIQLRqx6R 0knrENeaL5TZg/d590eleG3Aniu3cwMRgZoYu7ONyG9w/Ly2XHI+gcSUb6iN G9IoHw9ZXoMzgUIVONYHzGmUDXLv++hIoJtu+d/LO9Io9SN5PgdPE0jw7m9W HiE0KtRme+dDWwKFt9Euj+XRKF6es6WnGYFmR13KuwUFKJO8RJk7ugTqzFLT QJ0CVIPt4PRDEQKlkh2aRd50qrD1zOu4WklUz7O/l5QmRMlbRbT4hUmiO+RA c+l/hajHrszOKwGSyHfEuZHeKUx52EUGec9IIP/bFDyKF6FsFOyk+qMk0FxD YkuKmhglH1LjYCsggdo0BqJYG2LUcH3bjV/RDlQVscNJ9oQEpRB7t7B/xw5U FB/CPehKUjEiRvSoKTF0rWDTgfd5J7U5dW2hvFYUKZtyxYvEGJRxZcpNwy4R ZJTJ0a6PY1DP9hgq0CNFEOeUUNdGIYOaSckN9T4tgmbDN5TSVhkU7+YzghIS QapRgTHOmruomdbVfyTzhdHkyoMz4g3SFH+te7ksbhuymQq+lH5elrrVej57 pIWO2n/J3/UbsZuSmt8sNVWgo/8DlshrEw== "]], LineBox[{{6.2781057659984025`, -2.383014585452856}, { 6.919710165050654, -2.029451847583738}, { 6.931735900596162, -2.0225772237325215`}, { 6.939936507521942, -2.0178892703218465`}}], LineBox[CompressedData[" 1:eJwd0Hc81W8bB/CDklE5RWSPM2wZmUlfSkaU8UNmVih7RUj2yEgRUqEQRUgq qy4rsjOKSqWU6FEhRCrPfffXeb1fn891Xff3iDr7mh1nJJFINgwkEv51CE/w SR7iJ7YG2q4c2E5qZtu35DT+Q4hgUK97IdywAnpfbX6KWYgQlr9ani0lLcJY qyuDjYwoMSfJPkLxnoP7Se0OIkuihKPvsssZnxlw2xg80d8vRuTHRdslsXwA PuGu0bVBMWJxtdq279t76FcTHJB4LkYoHlxdFnv+HlS8njyKeS1GNFp1B5Ju vAfm4R1XVKbFiF9STYWJmu+hpPCBRT4DhajuPGT7LmgCPu5Z6fbeTSGCfsox f556A7kWRq15qhSCZaibjanuDRj5FtZ3alCIpLIGRr3kN1B7Q79MVJtC9D44 cV5P5g3EsV6Of25MIRhdPlnJB40DdVSd2OtOIU5KrDF2sb8Gl4Dw+5vzKITG u2BvLdsxUFF8e1/yGoXwu+cdGak4BmwLxIODhRRijhw+PsM6BtX+zA+jbqL9 Urw/dOpH4bffhbrFGgqRy74vlYFvFLJ9SxvHe1BOW9bumHwOXV7DLRV/KMTs tudfl3OH4aqMSmsXiUqk5l4y6QkeBr/Z3NYpJipR19lN9JkNA7eXQ5sIG5XY OWH1znrLMDh7zrRncVOJpplX0dlxQ/D7xHpnxC4q8W1lUSU/fBB2uUv3GzlR CRbN7TdTeAbg7Qlh3zuuaP7n3ZyLo/2Q6sVJ3uqBLFUyzZjbDzP+a6YDPlSi GqpnhPj6oSii57lpBJV4uj7YoUXpA56Lnm8sc6jEyumED1/0e6Aj61jkwzwq QeQOXvXm6IGgHHPhnflUIu7022mLF90weHWP08tiKvH7hN0my+PdkFLK/sm2 hkpostoAe1IXrDeVzzr2oe9dErRhmuiESihIa3lGJZphpLCuohPsWjPlxEbQ +7LZuftPd0J9Z7jf5Cv0vZbuG3fu6ITAoUOLx6fR99WMsAmadMDnz/9bO8lE I0xUlCcyRtthYLsMe7A6jXCc5wrll2wFLW/vmSuaNMJP2UmrhqkVKjsrO1v3 0Yjpm/0PM962QHqEQhz5II1QM0/VoFxqAaMplT/lZjRC5KZUdebGFuiu1/7+ wRO5dzozewpAgyu2j9WXRhR+Fz9rXwxw26e9XD4A+chO+1JngGSKnkdkKI2Y UB7ua554DPppRu9542kE8elB6uKHR/DE0WrYJJ9GzCWeEKz+2wi7G3PvhlxH +Z9N6vrtjVC849X5/GIaEaVR1WF5rhHiuu2MZm/TCPJvksgITyPo7HZ+kviQ RjxTkFXVUGuA5k3eDx8/oxHN/D7dLOl10FgZc0WGiU5kyHd5BSTdB2YjC74c Zjoh8iK0ucDqPpjOiF9mYKMTjnVqhKb4ffhM6ct+QaYTxK5PKtBZC5yXeS5G CdEJ8ndL15EtteAZW5E0ok4norJo18Pu1MADkbOb9u1F+7oDUxVja4DhsWnC LQL5Ut3SIesayFlZjo3UQ/dvlpEKmWugzVv7rIQFnSCFxQQ+OH4X+I++CI7w oxPP1BS6Z3dXg9tS2eJUIJ0orP8WbU+uhrsXwwNNQ9C90/2JB8eqQK9PxJ8e SSea/XxmLQyqIFDH0+tZCsotxjJllSqhR4bkQi1F75eTE4yjVkA4g5RJ7xuU t6lk+AeVwdQB9jH6e3Tf3iDxi1YZmCTNHov+iO4pPeh8y1oGVI4qX5X/ob5o advu66XQK7D7fOEK+n8SzCJCn98EITWt/iBOcWSVu0HmJZAULmw5wC1OEFOv nSi0Elh4THorySdOkPaVDWn+LIZO3bavb0XEiahZDoGKq8XgZ66/xUAO5X2S w06zRdDqY2YkaID2aSbG2uXfAJkapZEQI+QOiZ96p25A9hKX3dARcUKE36/y /OEb4Bkx6ploifYtM6TKk24A1zm7lHkXlKtnThW6Xwe3ErfuJ5HoPYFf+ZIP FgLbeJi+Ty26R+dZDIy8Cioht7acf4g8KNXmcvAqOG0fG6pqQPvcnWg9W69C nb6y/Xwzys1/JPwuvAJu97/7B/WhvFw4qK87D1rSXa+ETSEblFQbKV2GWclM xyszqO+mO67FeBl2PmmhNc0i8xmIXR7MBZ81oeo/C6ifre0e458LAh4v26PW US6WR+d4kAOh2oe/JeyUIKL+ftc1M82G4vGIe6X8EgTprlOgAz0bBkLKQ58K IQt93/tk7RLQK1mY2GjITRfPFZRegmG+Np40BWTRslh/pksgt6iqnWmI/Ksk 6mN3Jny6KZpVEIH2+3bk0LMuwGzc+1WmKJQr5ova+l2ABefrxzxiUR55x27C 6AKQhEWlFc4hi6R9fMl8AfhyRFpbc5A9nmcGRWaASaLw3KcaNJ9U8df0ZzpY HX9nYfgAmWCiUuvTwWF/QWNlPXL8a6Xo8HTwXBdKDGlGHt/w5QVDOiSECAmx 9iO3mxF9XGnQ5C5oJDOD7LGbY8QsBdp039zNmEVus3JtFkiBbso1nqXvyE5h DtTP52D0ncDko2Xkxysjh8+cgwUrgbAjGyQJ0tl9HhxVySChz18WIIxsylPy n3gSZEnwbqi3QN5sXyXgGg92DvTSyaPIkTNJLXvjgZqlZLjVDtmJ+uMeTzzU rhtnuDgjG7QMR/bGwciLGIGtvsgvyzLy1OOAM352t0sS8m1zIXvRWHjVsDqa loLs8jg/fT0Gbswxh9elI19naWF6GwOKdqItWy4hC7IXPrgSA2ZKlsZ115EL bBh38cXAxfdwfEsj8vhvszmxaLDh6WNRe4zMf7+dd2M0iBm/KnduQTYJ2Bv5 OQpq6hbnH3Yib9itt1wRBUPnJSOdR5AXj227pBEF27Qysx9+Rc5QjNdrjoSM PLdOJxEpgvSUc+D1jXAIORUTGEFBdr6jwh0cDg5m+cI5dORXrWaleuEgw/Yi pFcGWcV/tPtrGHSd1pVQVUcOotxj0goDRmtq8mYz5Ku7ym5+DYVgng+GD2OR s9e3GMWfArsff5YHE5ADTKL5nU7BgQHeotlk5LdC47J7T8H2RNM10QxkzUc0 3uVgqFxuLk+9irzy4ejayWCYfl6w2fk+snxVYIRjENhk2fdv/owstGbCHxIA AvfY+D2/IDuoKE1aBcC7wYfuXV+RqzWFp9UCwJVjO0PCIvLFE4yla/7gc65D aZ1BmiBViNd/ifWHmKhdl+cFkKdPvuMv8INbXgyuL8yQNSfPvln1Bq+Uyurd ltib/o499Qa527Z/Llojq50rUcj1hprP97OPOCKzeFv/VPWGJueTXU+9kQuJ HRDuBc+ODss1JiFzBSZe4fSElQMlqwWPkZ95jjWc9YCIxoLY9hZkk79rF2w9 gKSYt2WmHblM1rdU1QM2CZ8XVexBrvvrlDLnDtyroQbto8g7NaKkjruD0h2j y9Nz2I/WHa3dwGfHopoCRQbZmLnhpCsspHxrtaAjZ6zJxRq7QjDjjFGYJHJZ tPkZeVeI+P7GsW0X8tFEQaafLpDS1ZlkoYnMEvvIMMEFys5cGTttgRz68lnE HWeY/KQT2pqI7NiWSxNwAp2C/htSKcgT+uyejE5QeNSm72I68nTUyptpR3Do 8RdzuYRMYh01fOAIr6oLe5mKkPXVxlXMHWEo/K+I7mPkav3YnVLHoHVbQ1fn IjLZve2zlx2I9ugu7lpBJhYSU/fbQVTcoFDuGr4vvy+Uzw60fk4HejDKEiSR W3ZiXbbQMM4jxEpGJrcG1UjaQk1pcIChNLLJhheHf1rDjb0K/H1OyM/+KnC3 WEHrYbbYNVfkQo/E0etW8OHY5BdJD+SoiKCuGCugxFxqSPBB9mN5tFfXCoo7 Vq2JcOSM8GaHXksoOdKaey8LmdgVqDFpAWVO5tx5nbhffVtV4T94GiAT+bQb 7/Ob8OP5D6ZjN04t9yHLb+Ea/GMOEjcf3jcfwffl3Tf2mMOtL/wWW94jO7af VnE3h9uBHzOjfiE3zwxF3zSDO/HB29xl5dD+faTt+0xhVtM+Jl4ee9ZeQMoU ZBYP/ChSQs64s3pghyncduZ6PqGOTPhQ5v5nAmX77uXaHEQu5B0vyzOB4tU5 4cPHcE6M/Ph1BPK8veSULyBP/IypqzSGV9T/CsyzcH5/vjTFGHjH95ADcpBJ ZUVPPYwh15B9ofIa7ptnXqUYwyXx2/clbiM7ipMTrhhBxvvPmgJt2C1NAlmH INHC5RDTEu73czncNIAbR8btjq9gu330SDCAJgMLn841vF9buMjNABb26l1I YdyF8u2ZxeIGYEeXHuUkIzf/1zhUrg+KPxecqdLIhTx7c5v04G1uTJiuE85n +zr+6MLqxbWUUlfkKI1tspO6wJUWdI3VA5n4dq/+qS4YRLs19/ngeb+dulm6 UHvCkNkyAs/rRQrK6sI5je0X3XKQHfdoFhw/AMrj128l9uE8j2w6pwNkOY+V qmfYjAwpr3Vg9qyc3tgwNo/4RIcOFFMaP0q8wvef+L6+pgNcniPC3VP43kDM NmMd+BXBdIiZJI/66Zutq7XhJbtKiz4vsuPjReNkAjp2X54e50MmlT4vCiGg 1v43h78AskjNAbIbARlVrQ6XhXG+TV9mPwH65kd+z9DwPrfcV7/3QV2eh2qK IjLhG/ZtXgtyJa/c6TuEc9apW780YfHHwZJYYzyfVLH2UhOOPF64qn4E9/uS T9drArO5YWqJGe6fDV4J1YTgiNWTZ6xxfqVkbXUPmA1YSci6Y1ekvmHaA5uD uYpSY7CVKqyU1cFjX3OeThy2YVQVrzq0sXpdXInH90bLpP+qQVh+W7RrMrYu X0anGsx0BjhqZuB704lMdmrQwTcoOHsNz59ndUtRhbPNabmH6rFzrj9kVIEv b5qzVhvwvBJr0f+UwXLtR0ZpE87T/MpHlEFGxSaZqRk79dL2UmUYK6eHNXbg vsMtZWNlUMwBW+kRbA278vzdMOU9L8T+HTvTUddCCUxTqPz1c9h/BmO1laCp zIrHfQHvGwp5JasEmZOPONqWkKMERgeYlYCwPkcK/437v2RG6xUh7wDlwxdW BfQ9TrJ7qIpgzG9R0k1Fjjr7OoxVAXI/yjXb0pFJsUeLV+Xh4x2W17PiONc5 +25GHiKIJjKHNHaYz7lueag4TokwV8AusqlOlQe26nmz8b3Y8ZslueSh80A6 6Zsl3jfQE+AgB9u3evCfPYrz42bjOnLgMKqtQrbBueJXF3E5WD6x5Kloj83Q 2TsnC/TzdqOnXHDfb5YULwtxL6Uq131xbvdgqEYGtH06bbcl43wth0qRhl9j Mwfbz2HbPGJilYba/ZsVQ1KxF7gZvksBndeU5c15PO/XbtEoBZvbX9WWZWO3 ljhbSMEY77ctRDH2doXpdEnwe8LV7APYPP1XuCVASl61XLQF71tR+bkuDpN5 1tkjrdgH5b1mxMHSL99LowP3PxrfaBIHTX4JXuY+nItl7XEVBxb/PQHXXuH8 2KeNdXQoEHCm9i5hP9so4k8DDSVpOeef2Hv+PHKgwYjBourKCvapjz5GNGAJ SThE/Y0dJ84qQQO/wdsBEYyKyDR2wQkqEAk/mmU4sCM2VJlT4cP3OPs0CWz/ /M96FIhgPuxOkcLe8qRelQLcgjz+9dLY3ZpXxSlgaHgr7pMcNtvwhU0UqCnu K9+rjF2XuPepGMRac//6qo39tzfBSAyobaXZh22xjXNcHEWhX2aleNwOe/qQ q5kohGbr3zvpgB2THnBAFHpOzAwkOGEnRj2UEIUAsjQruGNv9ns/LwJgXxm+ Kwi7+kxZggjYrNQ6ktOwJ8y0AoVhg/NG3/x07JOdJ22EobLH4oxMBnZQb6W2 MDAULF/Wz8QeFz5DFoYyXbXhqMvYdrzyVUKwdLFRd77kn2VezglChmyr1NBj 7JG3qXECUKZmyxrTjF2mc9VLAGD/4meF1n//52DbfwLwzZpecuHJv3t/bWgC cCjhnLBpL3Zv9M1OfmB+Z8b17CW2JVsemR/CMyb/9C1iN7ip3+MFtx8bBruk lJAZfVaVecDh9oF+O5l/Zkqm8oClU1zPd1lsLVsJTh44OMDUsUMBm5kze44b 6OWMjU6q2C+GpCu44ZMzqWR1PzbdW5HODa5Da6GS9tgmj7RoO8D57oJI8nns w3UUI07wijH/bXgBW2M+TZMTgs1rRzdnYssc2STLCUlLwekZ2dihyuJbOaFS fXUt5xr22wHewe2w2rL+4mb5v/eUNFpvh4yhzWntndiRHtHB2yCvyNsjoQu7 ObPafRsUBfXv1+/5996pWett8IA741dPP7ZQd6rWNhi34fQYfo49+92dZRuI T/Lu/zCJ/dTwbD4Z5GvDhIo/YVfsC7tABo3416vHP2P3hkXHkcFI/Fr1zBfs hrTak2QI8BQRmp/H/lhVrkqGCM3o1Zof2B3HNkmTIX7Lh5GgJeys//kIkSG3 qihlZQWbxcVpIxluRG1wb/j17/6JsXkOKDc9rhPxG1vAYeNLDqgV6xDU+vtv PtmgmQMe/6Cvrq9jjwwVl3LA/wFiwZNB "]]}, Annotation[#, "Charting`Private`Tag$30145#5"]& ], {}}, {{}, {}, {}, {}, {}, {}, \ {}}}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"E\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-4., FormBox[ RowBox[{"-", "4"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-3., FormBox[ RowBox[{"-", "3"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {5., FormBox["5", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {15., FormBox["15", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {20., FormBox["20", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwt1nc8lf0bwPFjPqJkRdmr7KgkUd13VnbISEmIzGxFUacISVHZskrFk0Jo GNfXyk6yHqRpJAlZWeV37vv8/uH1fn2u6/u9zzkvQ8LJx8KFkUKhKNC+EN/9 2471OIirYtTVMb3eM4HIQfKKiY14CLbj4FhaCM2qvMezBMWiMbZ1a5ohXoGI 98pIQs/4bcy/R7kwxiMQ/XG95bO1Nw17bbi7aatrIFKccr655pqFUVYYMxuc A1F05HvFIv1cLKDNr+m+fSCalZ/151jLxbo7b4zePkFzXlmqfeUjrG65a+3L 0UBkte5gZ7DjYyw78GTcHotA5MngdqItqhAbz4xzczcIREkbz+OhW4sx4YW1 tWqtQGTxizPqr3EJFjHd/PbwnkA0lnKoZs69FKMKFOgsqgSiWOc/drMrZRhl f5mnpUwgOr075Kvk1ldYwoa5ml7uQKTE2LShAZVjdcWh8vdYApHgne7Wn9qV GNVSSfDXUgDqrcxF3bLVmMrmrsLR3gBkFbrl9FxoNWZxI3NltCMAdX+2EpnT rcGoDiVzEzUBSGTZtnC4qQabbB+Mcn0RgHYLSBlQbOowLfnhcx7JAag8OMq7 OLYO45bm6P52OwCZobi0Q1vrMb3yewlFVwNQWmipNg9HA2ZqGxoVZhuA/nn/ VeanWDNGGV+ySGUPQH3VVUETY80YNSq5QHjeH02frf1pYdSCXYxpGLIc90fR memTv1zasPFD5jccn/gjQw1f7ZwJmo8p2Ahn+CO+/SmZal/fYFrMdpF+l/wR 5cgOgXMWb7FhIVxk3sIf/R6Z33Xgdyc2m0aV3uzrh67m1t07tq8LW7Yp2+pk 54eOrp7/szunC1t/PfqXDuaHBLZYpE25d2N2zuv6rJn90DnDR0hOowdL2OQU bfXaFylM31gqKu7BgkbbBuRzfFHH+Mtp9z89WCvPmQHNGF8kgFUJ8JT3YvtT 7+5yM/VFOS1Zfj/E+jFKTERxqIAPmkspk/8US7OSb82VDm+k59o61LlEc09h zvZr3miC6bdVedcARqHUqSctnUEi5rXVvlcGsT39oq/aBrzQlxP//lvWPojN vrOdy3jkhYLydw90TX3ENK/f26Wx1xPpNYw0eZh8wk5f3VNqseyBvjePmYfy fsbE543Pd7h5oKcjxZrVl4cwgWgRhVdfXdBGaZYdnXeHsH02e/5Rq3ZBnSla TFvbhmj3f3zPHeGC1B5POwVoDGOfXptaaCw5I/b4X8z7YRhbec11wMPaGbUw RWyn8I5glMUPpc9+nkL8+9/zvG0YxShsWt+Mxh1Ru7ysS1XDd2w3c0F0XtAJ pLHp+5uzEuPYphpDi+VSO2QofUZnzHEc82L2eB282w5ZKpW943Yaxw6c4Y3f RvPM6x3/cgyPY5/Tfva/3X8cHRPOsTyv+AOLWcvhGXxxDN1ujj197PUPjDIY 1smabYsMi2wiN7BNYA+zvqoxbbdF5v6je5D8BNYbs0m+bOYoOjsU9+uQ3U+M 0rTHwHfMGkV4DXv2xf7E1D2q2BpSrdFUvpklUy2t5024P9SxRm6+3C9AZhKj DGvK9eRaoWN/bofunqV537LBlK8lyuJoDefWncYoXEz2j9UskEf1eTuq/TSW tP/AUMSsORr0Vtg9dY7WFzMVtIvNkU+oyaX//p3Ghr2ObjJWNke3UowNorl+ YZR4ZoH1amYofGs759p7mqlCFSy9xkjS5uK3M/M0fx7uOulhjKqjt1cPcs5g lOAYCk4xRtKqw7nPxGYwtYi+R2EVRmhg9Y5w+cEZTJOl7+oVFSPErxSlK5A0 gxlX75u6OGqANOdvdgc9msFu8cdOxd4zQDK39SPnRWexlruHlGR/H0KblYV+ dlvOYhx+7JHn1Q6hCZmnJhahs9jZNV3+sHw9xPT7tznhVabfrIRTmIUHW3Jn aa9/2mxGUg81NZ8Wze+lWdyp7uFlXSRruXrPRWMOoxzN7vhirIPsnI9v13KY wyYnR21CBrXRNHOcbZ3nHKZYwvriQbk2iv54S0YykzafIjBZLaeNFD1NpRrf zWEbZWtmetO10M6Oc7GOLPPY0NVOZnZOLURtNX7zRnCeNu+fj/ccRJu3+09W 7qKZqughmXAQ6c9WqqS70BzvkPia7yDKD7Mos2mmWfYeriiBI4/bYdARv4BR sqnvDRr3oUtz9z6h/AWMr7ar5cDJfSjNpolSWEvrRc5GNYuaqEWYV/vGHM3V bN9tVDSRwqO8RoOjv2mv/+Y7peK9KG3Dqujb07+xqE7pgLMX9iI7r9l1sjG0 nn3rzKZldRS744Axa+Vv4rweL311JFjCUOzHv4j9feQpkc23B104N2RQpbKI vZZ+EL+/Sg0JXxblzTFfpO2/arxgoYZY7jpEcJ5ZxLwbyhY/ruxGvnruVpfC F7FYH6lEhrLd6EnH337Nb7R5s2nOqShV5D0iN1T6dIn2fnQ/jXDciT7b97PV NNNs9k9Av9BOdKQvevubYZrxNRHT/3Yg9dZvISOCy7TXl8AVYb4DZZ+8yb7V dRnLM/Rw/5Khgsr4fW41X1zG5nZxCm0/rYKOres/3fxwGWsK5P4hzKGChL0H lHQLlzFpkRjfa9PKqD3p1CO9Wdp54mVVFxq3IxdOJZsGhxUscmvCNQ9GJZQj euRU+PkVTMVl5czmu4oozId6LS5xhfa8nLUGOxXR/RT1wPzWFaxoUmmi8JQC UtTP8Ozbs0r7/fTj0kS/HKrh3ZK6l+sP7eejeuvqBhmkeqMJdBUIC4tVlG9D D1mDh831CNubN7ttQ7FLvcoeoTRTqhYqm7Yi608JDWljNFMP57knSyN/K52J h0x/MfZmdSF2U2mkY5d3t0fqL8aZfsXXY1EKib+2ONFq+Zc2X4hKg6XQ+L9c cyvVhOPWuXpKIjvp6i1sgzRXm+vmy0uitxk+GN9vwmv2P8YlkOG9BsNJ8TWs ODs6byJGAs1lWrVt2beGvcir1rlpIoEunY2VOJG6RjuP9eh1qjhil4iQ+aRO +1Gn5r4wzhBBRRtTq7l0Kbi9ZcFPRi0RFHk0c4+IBa1TKpjyvggjUZW84mhP Cs6SkRC+Tl4YmbwsEey/RcGHgiL9CsSFaP+f7HUdyKDgQcOKUdFvBJGN6ami imIKzqxc5Rl+WBCV6XzD59gZ8AVHxsjpLZtRqX/ciiknA66yqdWWh3Uz8r/o l64hzIDHrL3rrSsRQMNGMU1Guxlo959U2iAlgPaLNI80uDLgh9WzRvw5+JF0 brKcUQADzlaiI1TUsQm1pcjIVbfR5qm2n3TY+FBAS8iAah8DPvi0T93qHS/S 7zi49+8I0deHrYvnRbBb7Nb8bwb87KWVIzX7eFHl2Xj3lzsYafep44YaPOiJ 5VJ+URLN1GfXQtK5kJcv67PD94neuvmxBxeSj+Utnywkum3YZQ0u1NEj93V7 MyNeMj22T+DlRpS502k8b4WYHzXjNuFEN7la5XMcmGjeK5H9hAO92iNSZupN +HvFpA0HGrb3wVYvED5+2IeJA2k+4bW0SSbceXr2BDsaamRNMG1nwg+WPnBX EFuH8hlY9eN+M+GjEXPDPVps6BB/ZKKyBjM+vsfv6/JHVlTg91zkgg4z3mhf 2z3xLys6tpr3q8uaGd/okHG//jArarC/PHLpFDOe+jV3nxkPK5oWU1tS9mem 3Yd/5WtlQZmVFyVH8whjdRZtzGhxfmOQBT8LzfWh+xcYkZSI09qaFOF789PA iDBjP9S1gwW/NOa1syWKET24fTSTzYTou8+fEmFEXrK6TAW2LLi/UmPcl58M iEfz5fcHgSz47vQ2yfPRDGjv+FINhLPgoeY7BMsPM6D1PTqxos9Y8DQpy5Ab TynoidtOQYVfxHlHT/Q/XIO+uIjcvr+EW1w1TNaA+UXv9sj1rDQXtNTO/YWD JjfGv8qw4ixh/R7bD/0Ftnt1Xsn2RJds115ahYtBWjLF2az4SblbSX7hK2DJ l2WyqYUVV+VvLbFLXYaXdlUGYf2seF7appZQvWV4dsxb+NMosZ8mMra2BEwD USHlDP/QPPNuIHAJcvvKd/ntIXy6/K3bIizMdzqG5v6DB+7tUbLzWYCbiU+s jYuIvm3HRc0FULPSYCmvInzv8j6GBYjqPuKU2Ec4VKb95jzIdkUKG3Oy0cw2 xfhsDuakPtjWhbDhE5F3tJP5Z4EnPgSTiSK6xsO1kRkoP8w6mZBAWFSjt2wG ON6KGfkWEoYGFZsZKHhjwSIzQrie0zX7F0y2vAxJMFtHc0qGkdE0TP7Usvp4 Yh0+vbPj5QGpaThg2Nnr40l06XtZ81MQ1/xjl1EkYXUjo6NToNIkOslQSdjX Skl2Ei6eeZyULcuOx1l0GeV9/wGiw3qsC7vYic+jJrvoB7Qyrvs3FCecdwv3 /wGpAxu2D9uy43f8rj6pnh+H/vJEau51okdTD60bh4NFDzP7pwiL6zgZjMFk u5uWwyphdZefvGNw+4s+YyIrBz7hodX7duwbGKBN+1/ycOAVFtrJcs+/wbx8 odKcBAdtPnCm4ew3yH/wopLTkrADY1TBKHCnNw1ovyTs+yxdeQTgVczFlnrC 6s82M46AZ5+xpPk7wvV9bD3D0OYpWPZ9hAP3vT8VzxY7DAtV1Yp/lzjwDukv oyF6wxAS378YLLyeNs8l3/12CL5cHed/SiUc25of8xWKfdcf2WywgXh957UO fYa2NN6QJ9aE9bcJS32G0XrBLC1nwtVb8v9+gjhriy6JwA146cWbquYFnyA0 VHXc69IGPJ9jw/5yv0/QgM1wFt3YgLt28tf9lvsEETW64TVlxL6sgL3DR7Dm uVTiIclJcwfv5xOD4Lsvsn9NmbDvfR/xQUhc7tyQuJ8TV00bEL879B5QeboR Okp0inKD53uQPfVyiDeO3JeQDx+A5ZJfvFUrnPj02lRMVVsf8H1c3GuxbiPx +ayzTOmD0uCd0s58G/FUGQmbf7z7oJ/JxrVaeSPe9CqN6zNrH6h24iq7TTbi PFvWnx9J+w+sZ5xKPNw24k+rJ+tO7fkP7vwN27YleSMeGJv9VT+pFzKtnAM3 9hDn+yb4VfdAzgXPcRUbLpo/d2lIdcH5W9/+XD3BhQeWjPFrr3VCNXMey6dT RDeTuPq+E6zF3vL6+XLhfHonePITO0HN5OzM1Sgu3Muz/EXl5k7Iis4LORDH hb/NuX3dYvodpNUfrs+pJPazZ+ZZ38HIA7v2xVoufGyLy+H0bx3wyiT20+Fm sv+KaOqAvt6m5T89hMVHJK93AP/3gzuOTRGm5J3l7QB8b01LhiQ3HjaI6pSP t4OkRedjd1luWqfqi8u1Q3GS76vq7YQd+rtm3sBd2f2Ko3u5cVn9z5duJrwB peu6f1ssuXG5y+5jzs/bIEvW6X65Bzd+dkzYdDd7G8RYbw4OjyL28b06sq1w JWvVfG6CcPWvvdZNcDiWekH1Fzf+MTpSgEGjCURrAm45LRE9O5CZuQnKv453 dLDwEM+/dXNJI8S0pNS7CfLgfN9eu2xTaYQX2uFmT0R5cM1XL7yZNjVCTeDu +I8yPHilX0m95ocGcCooMzltRu6LGH17DSr7/c5kWBP+7PCl9jU8DL19M8+W Bw+NCVtWLn4NX3j0j/m78+AMhf8M61q/BiYlltVdV3hwyT9xnoda6+HgK2+D vhJiv7qEpaYOOA3l3TeWE8bLOrLrYHBgJFqvmjyff4BaB8Grdk2lbeR8+4OD dRDN1u755RsP7qUsfZSvohbEG2R0DQV4iX68tb8G3nWtris+z4sHJqSzpspV Q0KCEmPPJV6cOUiPNYOvGtZRMhj3RhPzuNv2EQQ8Srb1ZYmEqTW6IQi2Rr07 VFhEmLJKfQhgqFlrem+U7EeO8FVB1uG7hQ4/aef3DRq0DVXCEbeLXGJzZL/x oKQS7BI1OtMZ+IjzrwdZVoL31DOrRGHSNQFpFXDn/n27aAvC1bt27SmHzeWX q/RsCVMVTNeXw92Ok6IsDqRzKr+8god/hD5fPkPub7l14xW8tEk4dSGatCTz 95fwsZj6NAT4cL3CkFTNpy9gW+DpYEv5TcT5o3w+ZaCk8elIlgrpPYmHy6Ct z/rRuNomvFxT19pQpQy0Yg1GL2kTncp7cqYUqkoNfCvsNuGB+qpVFcGlkNQ9 o8wYR3bEEF8CLLsvfSucJUz59/eXYli/8rt2eYkwfjixqRje2cX9cKDw423S ctd/PS0GcRMnq/fr+Yn7/b3DimGfi24d6zbClFMRQsUQmMiRdeIo2ZP3nyyC 4flka44qwlS+EpancO/groAPdeS8FUf/Ezh5oz2usIXs5c8KnsCANEvzkT6y +05YPoF3R/w1786S5l/OKwAoNhZXkhegP6/9Y0g+wzBumkz6buzfPLB8dZdV IpMw1St/IA94WNSlZnPJ/pjpRR7cvOttl/yM7LHevnkQ0fq+/dMbsndxjT4C X7nnJb7Mmwnvkxx8CIYjHmG3/UhvvDKdC3phUgU6wYSp4StduaC1aXBg4SLZ ze6/yAUNXRP147Gk00Mv5YL8A+VZqUfk/E1j7lzgcJlzKxsku+GW/ffh/ETn D4x/C25Yy5l3x/0etA2HWfYd2kJ0L+2SHGgKVQuPMSVMFZpIz4F6vqnifVak r76KyIFTqnkbc5y24A4JG0JqrHOgIFerxT2M3H95cTUb3J8XXPz0bAsetF/n bYdpNiRF63+oEhPERy89yxdanwltCsPddtKCxHzknV8ZEP44LHNSSRDniQ05 vrkiAxbYd2q3qQriy2atkuoJGbA+8qNNwD5B/LluZsAp9wwAf9vVnzqC+KDk u4cKGhmgJa5wlteMPM9sy+pdGJ31Hva8JIh3p3W/Y/+TDuI23rYmWYL4VW/j TUbH00G4e8lqdoScZxhYSIU0IZO1HROkYxv7UkHzodEf0QVBvOBoUatjfirw z+it/PxL9rzoS6nAxZWQPSYgRNi8nj0VmIy3//hgQDrgnmwKjNc5UZuekNY0 pyaB2K0+j5ulpG/1OCeBpb2plWUF6dXLBklgyK479ahVCN93xf+XK1sSmG5b SRX7JIQvKNm+7alIhNtK3N2/h8j5vMa8RNBMRjIygsKEd3UMJECsh/Dbq5Gk 3+TZ3oGaPbdfGd0gXV2mdQcWmNlyuRNIqw4p3AGHrNngjBzSnZl/b4Nqd4tk WSVp6TsPbsOH/SFnh2dIH9BeugXbuXtFtE+KEO4+8zweRm+MXkl0Ie3unxsP Gey/v33zJC1+83Y8rGfe/Cw2mLQ9u088jC/Y6vXeIu3CIxcPDwY/eLvXk9aP 0ooD4bwRFCcnSvhiutYN6JZekP6qTHpiUuoGXM9hjVFVI93ixnIDltNkLPu1 SM+0N8VC3w33MUk7+ry9eSzcCfjJ9fwmaS979+vAjs07Ds6SvhlYcg2CD8qy PV+mey3pGoxqH38axyBGvj9F569BrX7NstZG0imXta7BeYsbd/LlSV/82BUN P1y2vj7rSJrZ7E8UtMVayXK/Jb052z0SNOKi28d7SFueM4+EvFsVgfWDpJ+d 2RsJEUkSNefGSYu/WBcJoh0LilOM4oQfvnh8FXr7a19biZLeqT8fAYd+Hvst aUW6NDQjHDL5wrsuHSVtp30tHOY0HxcOHie9KBkUDtkxK65JTqS9FE3CYVnm bt86X9K+zn+vQIHTh1fTMaQ/G7pcAa6+k6FQTfouh85lOL0WdVSonrR44c7L ULmtSDW4kXSoq8RlcA+i/NzRTjqQf40KtTw5Jx68Jz3hXkGFQJOvB2IXSEe0 76FCX60zwzFFCcJNuWEXYfrggGCYMmm3cseL8E/NYdXsnaTjJ3UvghrScB1V J832jPMiJFRwvfHXJa2SkxMGh0srU67bk45eawuFhgd8KlXx9H2kfgE+SscY fL5DerOD+AWYv7/mxJRMv1+Q7QJI3xtPNMggvfjhv/NwJbN6pSeffl9K8Hk4 kOzVOFlLOgVBCJRF19uLz9P7uhPBkGfYujlqkbTZqG4wpK3v7Py5Qrrjw/Zg oMZ/0qtglCSMCzEEg3HK8nZrLtLBrQ/PwddHKmvXFUg3DS+cBc7Gu1m/HUm7 bckPAoZr923tXUjrUxKDYM7wX97XbqR9/1CDoL/9RdRtH3rXsA2C3N5OH6Uw 0p/L2YNAY5QNP5VCejPyC4TTLEGf29vp3nI4AATFmv9beUc3HAiAdnWRt7I9 pPMCtgeAmtfrqivv6c/PxRkArF2b0tXGSHNtaPeHB9nPrTIZpAhnM5v7w7Dm YssZVdJ9nk5+kGJlXJu2h7Tb2hE/MPbJftWoQVo/R9cPSu/p50kcJN2xUc4P ItalXu0xIT2WOO0L0v/txfe7klZRv+ILp/wvlK1Po8932vuA2s6PZXIZ9Pvf 6foA+wz+XC+btNmYog8U+bG+oD4k/dluxRtWfW+9nHtGuvpkqjck+TyqGGwl zfW8/ww0e3XVFPwh7fvbwwvuKqrVNlOkyf1qSy/wnUipHWUizZV1wAv4vezr xNlJO6TyeIGT5/f6BH7S8eEVnrDqvtYYqkxaRYjbE5RdFdqNHen7tS3u8NFd zOeJM92mZe4Q68XLxelGP28qyx2++62Yv/Umne0X5A73Q1t7zEPp3V/CHQRu e36wTqb7cJgbrFU+nnB4Q7qoR9sV3vIocgTt3UqY6vyPCxw4c+Z7+j7S8c9/ O8PTxqeNtRjpbP4xZ7gZuiOCS4/eKc3OYDyq9uexBenpkOvO0PLq4NRXT9L4 Ao8zvHaw6TLLpO+XKZyCiqdX0hWZthEWj7jsCKzGVoLJrKQpnwMcwfy7TCoD O+ki/dOO8E3qTVIvF2kV3MgReFMFblNFSeOvNzmCZ3hBdPdeehd54gBCR3uD Qn3p5x9pPgkXGOTN2j6Q/iz23Q5GdTj6tn0h7dDdZQdm0RMnLw/T778LdiC9 sdBH7QfdpxLsoE1YNS57kX7eW9wORNUPtAfyypD3b8w4DrXeFsYiBqQ/Fzkd A/bB8/repaQd6kSPgtq5/A1xL+hu4DwKjjx9nYXlpMV7/9rAS/3dJ35V088T +mQDp8um/ALf0L0v2wZqbjqnnx8lnf1G2ob298h0MnKzLOlPatYw8lAiISuU 7uBQS5iI+LLERCWN7/G2hBmnnJNu4fTO4GAJFDEJhR0x9F6ubQmCyeK1tcmk P7/gsASzKLHpkWf0+fcZR6DSVcRY8TtpyvkWC0iQ3cL8ykqO/v5pmYOd/bZH Q0dJZ//ZYw7SCbsMOe1IiysrmUPpmkn8KSfS+L8C5tDde0WY04feGX6aAe/V CdVT0fR9hVQzuP0FuWyoIF0dMXkY4tNONzqKy5P3b71tAufOXgkIlaL7ItUE 7C0yxZK3kaYOeZuAInvvuTZFeu82MoHmEF3ZPXvp3YjVBBhtpa+ttyBdHRVm DEECXw1fhNP7r0AjOJZwon39N9J4yFUDEC5hF/Icp897BhnAp3cvXJt/0s/3 cDEA5408DJFz9B6jawDeMQ271hgUyG7HagBXqMqpv4RJU3fG6EO+F4NzrwW9 e6YdgkWdB0tZQBqfG9CF0Iqs8Poaeo9o1wXKzrQN3+vpFq7VhX/E4iR2ttLP c8nXBf6lYIP6/+g+EawLu54Yp45Nk67uF9AF701z6jukFMn9fjsdGBrRCq6N Ik1N/6MF9/bvEHrjqET6nQMOT64GcbsqbSfnTe/vgyirU0ZM86SpR1T2wu7B nPyoN8pkL/i7G1Lk0p+8MVIhfcJvF1yqvpFi9Iru/dw7wETI6kGL9A7STRLb 4aB343Hua3QbjshDlrCTdNs83ZF9MiBd9yjJ9PhO0rkntkK8Uq18J9B9V0MK Ts8yv2uW30U6YYcEOBXPiF+Lo3uVQwy8rhxZNbz1f/8RhaAjpf+tv0M387Qo RM8H3YxPolu6WxSe7l1aSc6gu/6uKCzVrPU+fEy3g7IoxHeuv1HfSDffMRFI u3/GLbKZ7kVjEbgf2K6t30r3BCYCz/njl1vb6e7bKgKDx3jdunro5poRBpmh Ldpfh/5/33VhUCk9L5o7QrfwJWHQuPp+yeUb3cH+wmAsk1H0fZxuHVth8PcU F/31i25FGWEI3Xd56dks3ZWCwnB1w9fuwHm6jTmFIaXw/vXFRboj5oXgHpXZ tXyZbtnvQvDY3EUrdJXu7kEhKJVsEDnw9//zHUIAs9uW1tbo3lcvBP8DNDjr gw== "]]}, "Charting`Private`Tag$30145#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwl1nc8VW8cwPErIyGzhGSHyqoQknOoZCchSTJSVpIVISLjJzt779Gwlfk8 VvZeSSRbSGSP8rvn9A+v9+vzfb7PdV/H615uk8daZgcIBIIQ8Qf2m7Lj4esP jvFyapXPy10uAGjE46V+i8sFsbd/VXWNaHGmO8lsnP5IZffbxmpJAJm8piMG 5sORuz9Pvi6WAPDPw7DHJwfjENPjvklj5wEU+nU/eP9hMrJ8lNkj5hyA/r5f hQqUMpBL32iMlUUBXD29ake9n4HUOdXyfRAhOqc01rAqGzmQ6xgqLASgziH5 Xmfjt8gX1wzX14IAWpGY3233y0doYsVyungBjKJ7hrqdLETufzsyeJ4LQK0V Wr+/asUI76c8vz+sAM7FXKtdsyhBjBgs5gKYAQy8/8dgdbcUQUX/7qowAPhA wmWC52Q5ImgxKx9MDqDwgebDjbACaVx9fnD0bzVke93f9vNyFVJ23Zjafqsa DlZlwH7BGkTy1VcLzulqqOPG+mDNrQbxjaOZ7xivhv3fdU6sXa1FbLXHJT2+ VMMTO7fzp5prkf7ncCilrxpKHONVJtyqR94+EaFvqa2GFc5+NoWB9QiB8Vax AqyGmjAk7trJBiSBn+Dw+WM1jHMrucxI3YgElcQ0zSRVw4NfJwR+crYgXDxu vqNPquFQTbXj4lwLYvRGW+6ZWTVcdqr7qaXaiijcb7ore68aejG8Uiy71oaI fJWuyteohu6Vo5fYq9oR+Yoaof8kqmEzEO0Yi+1CQFaY3m9CNax2eDGWx9KN 5NucvPN0vQqGXLFs5ortRrJdnCotxqugTTfjw99XexBUWtCg+lMV3JxePy+3 2YugDJ0ny1yroE9GfZq+bB8i4OcBjR9XQb29Z38kUvsQc+7ZTeq7VfAYq1bc L4t+hNFcpyXyQhV8qpINT8kMIOKz9waraavgmeWg7YLCAUTwKG+/6mYl7J4v W7b4M4BQKaYGWs5VwmNI9THGikEkSMppZwNWwtTW5CcLnF8QJY2rp/VkK+Fa TOnpscAvSI1zwuR/vJVQ8WHbZO/2F+S75pT9A6pKuEi6qVPRN4xw3Sm7wPe5 Ap64UVdj6zWCHGvKp1h6VAHH7755U9o5glTnhvYr6ldAx1yJ4b5f3xBxMj4d vfZyqNg43WypPob4PlYX3ikuhz9a5m64MX1HZhPuHK10KYd504UXa15MIgqt WvGb7h8hHR/52d6ESYQj1Q1aPfoIe2MUSE+2TyJG8SuNDzQ/Qsm3yyb2MlNI wKru0VM0HyFV6ArZJTCFZOeFnLAr/wBbSV+KEJimEQKL0JLcyw+Q+dJXxq7G GYRl23tz1aoUdp4WNKtu/IFovHvxn6NNMZQ5+qPDiXseGTqfqnPlXDFU4Xt0 Zc54HgHdLBQcB4uhtnBpD4PJPLL4POL8AaJ/fzr7hnpqHpG1LXnyIb8I6rOn aj8TWkC8EhI2aDyKYHhL4AP9TwuIkekB0lssRVCl4JbvYcpFxK6e50zOQiG8 YTdzAZ5eRLLJHCQs+wuh02TIyjWDn4jUyHpf5cFCmEzd5s1wdRkRszSOjv7+ HlrWPDPwNFxG5EpW4kiT38MRmzMSv54uI6EZH46k3X0PH7upe3x+s4zMlbin G399B8Ni1JT96VcQI9lsoe4vb6H3yU7a/a8rSMGnI60CE7lQC87e0HJbRRDe awOLR7LgLcct3B5aXLhjyNhHWjNWkZr3/9mMVGTC5pYHHLmDq0hK+TFmTvVM KKi9l2Yms4YQzKi9cxwz4Lnup4HG5OtIzNLDCpHuNOjZptbRwbaOfG85IHMo Mw2yiNgtVZ1fR2wrFYOF7NOg0mqVWLwZsas92fOhT4O57lqlt1rWEXqd5u8B 11OhZbg76A7dQIweHWsgB8nQYy1tDOZuIGc0a3mFzJJh3K1mQn7dBoJOVdgd PpwMW9mZLgetbSCe8Y1ZhHtJ8Ex2TpOy3iZidPDlQiZ1ItTWzm9h/bGJ6DKF rglKxcNw4ZH5B1xbSJQHp+6wTxyMS/Na2BffQkR0JF0NVeKgzfSpyZK8bcST fac2+mAU/G74hbK2hei1ijuDMBLeHPIX6ZjaRtD/PD+POkdCqbZZl2m2HYTw jHpa4WcETLkXTHXy4Q5Sr7nqsSMSAWlMA0SPh+4gOS+HfqGtr6EmW1Z44dwO MsJoITixGw7NaIVvNRrtIp9VRv87ORUGUzlumno/20UybmY6X34bBt0fe/4X ErmLEK7mXjtrGwbTY6Qcctt2EcFyc23uvVAopJRoNXRhDyG4T3QpsIfCWibW WGn6P4hnLeGk6FYgFA9qBlfPEP3lT+znyECYReE8dUPxD0IQOedYIR4IA7cH RS3diH3C6Smv0yuoOxbRGDdH7O08t0QPBsD5N/RruzV/Ec98Feqoe37QgK+G lXKE6EyNPk86P9iV+Bg5skm0rX6NU40vVElrVFni2kc8nzvsLSv5wrUknXZW 2X0kbLw/yWDPB3o4BXLfjSV2bRtx792XkIr7pcCYFAElnKE1Rwa8YAFdbA39 VQLKIJBzYyzOC/rqJV04oUXs4qbWp+56QQ6xnEJ/KwL6pq1/+drsC6heVsz2 JYyA3s/lvyMi+4L4eSj9cDiRgD6u050Lp3gBb2mYFlQWElDXKoJfToknLL0y i65RkaC5siWCNAHPYYldyK4GLQlazXz1F6Ptc2j3/Em8DDsJ2pi7GO1I9hxO qQY0q0qQoAT2k28WFN3hpRMt040PSdCA8gjpws+ukC8j+pSqPQnK99h6lT/A FbbHCJyqaSfOVxR/HhV1gfatLsPiQySoruneGv+sM1Tqlpf+O03sd1+x54U6 QyDBGba+SYJKbb2wVOVxhlVOoRZlZw+ghN7ySuU2J/heezu3IIpo2qEZz3QH aG1LUXQ9negdDoMXJg7wdCBTxVI+0XzC9/V5HGD3wKkJkZYDqHXqQdoXGfYw 6ZzJfM4usT9i4IsvsoPB9G2nU41IUYIGuaTYqi0sv3CiVMOGaGnz4eMVtnDK 8DGy50o09d+0gRe28OJ7Ju1b0UQbUi5nM9nCySaKCI1OUvS0W8Yfbg8bmEtC oRSySYoy2i/f89V/BK8x+0aKypChMya0PCsvrOC7Jx9OuF4hQzcY00/9lLWC +ns5K326ZKgyZbYNb4MlbDR8Me1hSobWrvnoNdlZwmVOyW1ROzKU8C480eWI JUyqes4zk0N0lsjz6npzuLVO56jFTI4SQB1Dut4DyHvCZH+fl2jzHk5K+gcQ UXsC+86So6o1lrrvmsxgZrheEqU6sc8ZXpGRNYPWgldJ390mRzNELo0d/3sf Ml4s+5HpQI4+vX3C/qXLfSg9v10LvMlRU5ZUKU3R+5Bm4EogRxE5WrzMvRF7 1xS+Nz/HdmaFuE/KK9UVNYFDIS8zhv4SfX9S1ILCBJJ9HBTxpaFACeiyF2+H MZRXD5qfEKBAf7s+o1s0MIaUafXW0YbEPpJokutjBJ87KggUplCgf52nVc8K 3YPaR5LVj7ZSoHnmcTOnCYawzKBa2f0LBfp1wZ3LOOouLNK3YR+bIZ7XnNy0 kb0LSYf9XCpIDqIE23fsXq8MYMZQxfknF4h2Zj716sIduLHea+yWcRBt3DgS WlChB4Mj3+uqFRA7gR9566IHJXVkyCuqiRY70lUmpgf9+m+aRA4RLQhf56Xe goJ9vuxqtJQooeyzUWawLlzjHb1d70KJkp+93FIXpg0ZQ12I312InX60bk9H G1Zcp1iKiCB6jr+lm00bUndxqtrmE10jswGybsJ3HVrkAtNEm9dnmzdpwaXW MpcIzUPE94vlTtmpG3Dpp4LOt7uH0L2PzzQebWtCOZXewcdWxN7t0lTZTPy2 17JwXtWXaKWE4yKWmlCsmWOJpIromvlFSfPr8Pmjt1EpglRoPL/tRGy1GuSY UqTYOE+FEgo2JWSfqcG2A4feuKFEe+o1ZIipwdjhwyJTt6nQrj9G+pRJqvBL RaRnxiti/26zHuKvAuULspK+/CK6pk3q83MluNRprmC0R3RoX+MCqgTDx5UO RFJQo1nxey+o6JSgMjx6qYyRGq37NnPFv/8aXD+dL7zGTY0SUkwtdF9dg7mZ H6totTELjmWmKUKG+Obhy2VE14T9SPh1BYLygOetDUSLHXj6s/IKtBpS47nR Q7Tt0l63/xXYbsVW+mOaGp02duM9I3kFblTXCP3dpkZj0NWljNnL0CX0y5Yz Ow1KMNJ40G18GY77zDPneRL9/Rhr5bo8DM54VyEeRHT3GwabVnkIxDRVUuJo 0DOkEcnRCfIwkrCa2VxE7KE/RrVV5aGy66745BTR9KbPzuegsNCW5iaL8mGU wOXWV78oB9vjmFze62I+MjeYKAdnGtiSFe4T7Tmg13ddDoboavVxOxxGDTVn 8i5uXIJubuLz1h6HUZYrKkpuHy7BRuQ3bUHQYTT59Ru/j+aX4Mvaq961pcTz RtLyssGyUJfRo9iSh5b4vNoPU5jJQFtZ3y/7okSnnOu5wysDI3d6D0deokXJ tjM1bCakIayIV4V6WDfrrzeRhoKmZZNMIUR7mm4tWEnBneIVpupdWnTrXtSm fJIkPPJtS1rrEB3x+UsWv/9QEpY4n+O7f4QOTeWLpD9zURJ+Ib31sEaUDp3Y orf37pKA4r2omIQ6HUpWopQpe08C6v42KbY0p0MNGaoNOjbF4eu/7vys0XQo czDvwfgb4jBJ574D3QBxf0p0DInjeZjqajUvdoue6KXxr+1i8FnY7B+fu/Ro nYS2UlGOGKwhyyEfMyV21OJ2x0sxqMvZxfTElh5N83eibJATg5LqTr99/OhR b0oKlkVvUZjsn+MiF0KPrtMrjL88LwrjGq43pFYRzxO0HA3vC8PpTIPOrTp6 1ODVbpcjvzAsVw8cu95C7J530k/+EIJDg807fwaIrqnnVLYVgsw/5M/q/8Lu 92ix9TkDUena1kQeBpQtfLhf79MpyKPV+9ZCkIF4vmC6LeIULIyyLa8RIZqQ 5XvW6BRMELwkNCPNgNaz9LGRkZ+Cwq+u/m3VZkCTwt7GdYgIwmRBk/QKSwaU X6OWafw/ARigy+Ls7YftS3F+WsgPvZL3bqwtEl1DG/Cagg9eD/R0FV9hQCu8 BF9wLfJCjlr7MJNtYkcR0vByXlgxMd/dTc5InLfTW3zECwNaYxrM2RjRQ+7U rJOrPPDjZW/N9xyMqPjGSlXMMA+sdZAI/SbAiM4Zq15czOKBJu9K1R9oEs8T qFDmem4odunJo0RdzHn9L1K5YZZbeHDObUY0cWuaRCKMG44zKunbWTCiYwEM V4IucUNSYfK9816M6LrW1x4GwAXly22Uh4qx88KGYVGckFbltAVdBea7V44Z cMKR4Wl/xRqiPSkb2Xk4ofOeQXNJO+bGjNR8DuhP2Wk1PsuIqviRZhdXnYBc jQJXVY4xEbtbDqcgO+zp2ztU+IwJrdEz3AgSZIUREcIHBjyY0JDfS9qRpKzw ECHxgLQ/cZ6gPVrQxAIZhW83lEZi5uAcM2eBJ/16ruUXYF6AkgXHoMrFOo20 GczCKrM3mGHy9YR8o59M6DSp70iPADO8af6cnnMN61SSbH+PQoNImd54kiNE f/CqeXsU2vwq0olkx8y3pEx9FL5OTzfw18K80/1qmAmyVLyoVryNzx+ZK2WC Cd33OMiNMFvdjAhjgll/jn9/8QhzaeoXZSZYdivC1NUf8wH2A4ARfiv0zHMB R1AFv8d/V4sZIL/DA2ft00eJPY76byYdFJYZu5kshnk48MMTOtg+pJs9L3kU veRPGtBziQ4qBCrPeFzGOoe6wmdaWF2ibFtpcBQ9WOcloUhLC6P6f4seCMH6 m8DwEBpILuExm7+KeaOLtO8QpNndrNvZxpyTtZx7CPYYhCwYEZhRJ09zcjfP Q5BL3UTnKw0zsbfb+YgdgrJmV+sp+DEfyIfhlNAhkjr5rh5mA35w/yCcWo/W pa7G56sGZMhhmvx5+9F6zN0dIcfI4b2gzpD8Vsx8T0LWyOAwH3nLzSHMSpsG +WSw56bdxYRVzHpHuQTJIChU4xI+fYxoINpwkhRGPyKZ14jGzD9XoU4CtcsT KLiTMCsyMpwjgYzkUryrGZj1W+KZSWBwgo1BdBHmQEb17wT4su1r51gHZodK RicCtD31odiWjIXoqadROvtAZdrSPfwJZmcWPes9oOjO++6KM+YSvbvye0Dh 6MjwxnPMXJP5zHtA5qq61J1AzDU6MnW74HSm6CpvNuYctz72XUBttmZeOoK5 vTVsbBs8W+xdQJhZ0XtyR+fbM7dA+5S79tA1VmJf+3EnehM0u0l6B2hg5hr8 6bAJGo78KpTVwWwUUqm1CUzFc+hSTVjRI2+O+1PSbYJ3GQqtFu5YL6u8E7AB LD68ez5WxIoWWg85HwxcB1H+SqPVnGyo55nNVtG8VdB+ZqrfgI+NOB9zhyR+ FXi/dU9aEmZDN8+9asiyXwUbVOcut4uzoYJaqqORt1YBje+3W/aybGhpurpS sdQqAHa3935eYUN/fExTesu8ChS4zjgxaWL73hUu/fgNZlZtpqw82NC8tfyJ j+d+A65bNrfVk9nQYzffyErBFcDev62zOo3NG90YqlkGccfV988uYt6bcH27 DC5mqf7h2GBDvyaPsQ39twyYfyvu/vyLdX9rQetlQE8fkTJ37DjRzeccWZcB qZrIwqgyZsGjCatLYL7exLP5PeaCyFMpi4AzbMgyuARzjFCDyyLQNtTQ0a7E u0DCzUWgQnX1V3bbcfS7Uox+19YC0ODfjeUcO45yNDfbCgQvgHBhhv7NSWze Py3BfgFcjIYCAmzs2H2l2TrzINCSvcvHF3P3z+sKc6D2Qni5ahDm5Zw2njmw QUaZwRCBOUfKmXQOGCWvOiemYmZxNvk0C8T7W3lKqzDTU9upzoLRSy5OU78x i+mJG80AEYbBE5fvncCer7ITb6bATNCMV6QZZiPfnrApkEi1OTtrhdnWMttl CtCQsRQFOmPWiylTngLzG7cVB8Mw+7+2XJgEmSOjNhYNmD2DvolPAvacaRhy igP7/2PP+jYO+vk2+CZEMaNRUq3j4FUqRYC4JGbnXzOl42AnTkD7iwIH/jxG BY2DoSCLOR4DzJ6fZOXGwWv7n/QfgvH5g54Z3wEVsm48soqZKzTs4Bhwlhek /LCD+budyMQ3MHP5Tl4ICSfWT5BUfwN1SrU7CnSYu40V7b+BZ1pBr3NPYzYi uzYxChbMTn5yMsbsGTDQMgLaA3UEGbowfw9YqhoGMiH+nfMDuGPSEodBTlil Q8MIZvoHXs+Hwcso7tqn83jnaUCHAUf3htCvA1zY3+ul1PQFDH6p+6TDgfsO 68gQuPZTf5NHB3PKZRbezyDpiHefhx5mege5Q5/B2sW3+SN3MIud9Ps1CFIC dh9GmWBePu9RNQh2BBKGDtni8/JkeoPgnclo+XIAbnGJyAFAP3TPDdRg7j45 yt8PHuz76R1vwEwI/03fD6r4C8Sdm3C78O32AQtHws+znZg1aUa7+kAdY+rd zK+YPTMTnvUBB/UJucAN/H7PswO9YKjuPom+EDf2+juTEnvAsvwwm7soZi4z icAecLD2unjKOcyhQd+f9QBJKPNwRgozPa+DXg+IqKTvsLuKuVsn6EgPuF5S FfPKELMmpW1oN2jMPCJWHYrZiPKFUBf4xheg/P01ZkKqFW0XWE/fNyGNxu9b cl7uBHxp85HKiZhrFndKOoFXUs3uQC5m1CEa6QRy0dZNS3X4/APqOx2g1L/B kGsd38dflNsGclTaWPy2MHu6PQpqA3E0vb0/d/FuoPqkDXiGjilWHuDB9q8+ km4DajE7Irr0uGWU21rBRLbY/qszmAmDIustgLYpIXnTGO+9z4yaAcl/6bcN zTCjFCJKzWBN5Q3TJ3N8/uxf0WbwpfOjX/hj3B1r+00gY7D3sbA7Zs8mydQm IDNDiZrG4PtWFuYawQNyx++dnXg3Ywn8BNg4Wz7v9uD7o186fwKdUie6BAfw ffQUZp+ApPWnaq+v+LyFktwnQNF3NF5yDnd/00oDyEz5oJNEwoud74wzaABT F7daH4ljrmmfQOtBjI5aXdwFzJ7ejaL1QO1xSnmTDG6rKo56UJKmlMMtj5+3 /7ZXB14eivUZUMe9vlVeB/g+S6OXHmImVDhcqAOmdq6lNHH4frp1uVogee5b 6alEfL4fFasFVL/RD4op+HxsPHctKHhC8dEzC79v2J2sFuzZhpWtFeHzWqut NSDqcXblSBve98P1a0CLdV/tuz/4eR8TSggShCTrWgh8WH/lvASA7WJM3Qwp ZoJjTj8AzNaG9VxUuD10UgEwsfrREMGMzwuMXwRgz2K/yU0Ut3KmYzUQfXim U80Ytzz7biX4ZsH5+P19/LzQtYlKEGjNRE9rjtspsKUS/Hiye6PLBneGWUwl SHdrG7jhhvuHxoVKcCzcalQ3+t/94y4VYL/q7aJRB+6/5xjKQR5MDqrtxu8j 2OyWAYO61yI8/XhPh9NloLzJ1XZyGLd+VkUZsO9VXTObw+fTnpuVgdnZhV1L 0pOYH1yGH0EXoxC1ozTuKCuvD0Du0aMf8bK4KUJsP4C8prymOgS3Tb3hBxDs dvYlvSJmwpDhxQ9AbUbyz1st3IcN10tBa7n8rwkrfJ7OxroUfDK61aeZhPfE 2w9KgHhlTOHTVNw3XXRLQMbR4ZCkDHy+L1uxBLxsNVBbfIN7VUygBCiIm3zy +4jPr63MFYOag48+gm68a3M/LgaVeV7xQqT8WL/X7lMEKNR02KIpcE84OxWB Gz8EYkmoMHu+Fn9YBGZ5O6IG6XFf/KJUBJhij4V7cuDzVQM0RcDK+51/vzTu 9MDoQnBcb9DRzRZ3qcfHAuBKclqzfRR3q7ZsHpi5Qj3EP45bu4ovD2j6L957 MYV7QfpwHuCjy38suYD7q9O396CdXTwkZQv3hfUX7wGHlFynA5MAZtdf7e9A nY2W2gll3KOydm8B1cgzJZsS3Eey13OA5NPcwyEfcVcJTuUAY8ah3vwK3PTl vTmgTEni7koN7iDyghzwoPTXE4cO3NfUrHJAbfD9+GczuH1eTmUTPy81lnxZ BDHfkB/PAtNZ3BHJbrgNTpJkgsWX49uknrh5ylYywG+T1Hvm3rhd9SYyAIGT +8zZANzvauszAFs0V11dNG4fcb8MoOnHuTxdhPtSKH0GqHp4Qk3oB26VBqF0 ECHISlaucwqzlJ1/KjAw5M+e1MPdNeSWCvgizqvQGuCOUXqSCkr21UNNTXDH X9ZPBf2DXuy0j3G7ZwmlAiafRXFTf9y2LH0pIHwcmh2uxD3uwJ8CQuMeNBlz ncac09OaCJ46edm78eJ+zl6WCAy1kjij+XE/cMxMBEJUg0/bhXCjNzwTQYvL VcEL0rjL8iUTwYHbfP/RaOEW+5OZAByPTah89P63zz84HuhH3O2kmcVdtf4y FrAXUx23msftzOoQC8Z6Pj5s+Yk7VMU0FtynYyTxXcMd1S8fC2wCGs/vk5zB XOC7HwO8PEVjV9hxB+u5x4Bca5L7g1q4w429osHWlcztZIB7Pi0/ErhVJns3 1OLmKUyLBIRzcYd/NOBOaY6MBAc5Q7jPteGWYnKLBMzbzsoNn3FLMitHgvPv 1WLnlnGXtU9FAJuja1JneYUwWzfzRIDJaQXnOj/cGY4fw4FCcmfa6Ve4vxe9 DQcpevod4cG497aSw4Fh2xMe00jcKcn+4WC4IKWdNB33kI5+OOh1/ct1FeA2 vLcfBuoYKlqa1nBfKb4eBtIunT3eYSyMGQwdDAV1GlTeu/dx89n/CQET9ybn T5njlpJfCAG8XpEVvja4Qw80hYCMxu3bqCvufhaPEJB5vS6mOAK32quVYJBj fJM5rgn38tWxIPDex5HhobAIfv+JkVfAT8dUlXQdN/3bu/5AYiQ1169DFO+M Aj4g5lT8+w5VMcz+PHFewKMmKEa1HPcIv5wnUD+uk9nKdxY/P+jvBuRtmu4w /IcbTb3jApLZTfja13EX3DZ2Anz12VEad87h71fRlj0IFa473QtwE8Znn4AH q2Q9LafP46affgxMCn9z/ReC+/tMoTWw9rq5pxKGG/XOsAaON0s+07zGzSUQ bQ381x2DQ6P+nfdxswZ50tu70Yn/etw1a7Bduz+Y9fbfPt4xKxDaSxPU0PRv XzSTFYhLf2Tu2/Kvsx60AukOnZeV2nCnpO9Ygg/MoTttnf/cNm4JRvSZzPsG /s0/KrAEApOslycm/+3b1LAEYiXPODKm/3lGwRLI+HzdNpvFbTQiaQnUBBIL fsz/e30jHJbAzoqLY2Xln0//sgBusi+2i1b/WWPSAvgcnuh3WP+3z/mzBYjJ T3+1tfXv9XyHFiDNk+xhxc6/zlFiAd7eMFNw2/vXTXIsQAlP4wm5v//6+wQL AFb5t/f3/+3/G2oB/gfbpI9S "]]}, "Charting`Private`Tag$30145#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwBkQJu/SFib1JlAgAAACgAAAACAAAACM1nk7Z1mz5Jv/yZeYLav2Aigk1X IHk/G+rG3miC2r80E1ufGh+IPwU/R7E6gtq/E4LllNXqkj/FRZGV4YHav/1n kW8l1po/VXks60SB2r8s72SO/2efP8jwC2TXgNq/iIbbLLBIpD/Vhfyvu3/a v/Mq83IL/6Q/rpn2Xop/2r/zqLWZXrynP7SQFROxftq/VQlB0nhhqz/FBZ8a fH3av2sBaF3Mh68/TlJANeN72r+WD3pAfCWxP1BYjGetetq/UvEOh/5Msz/j mMbcl3jav+iYR8H0abQ/tn9opG932r+MZP1c8/u1P5SZJGasddq/ZjV54iIl uT8bs/O+unHavy0CyA3Gv7o/VpL4dnpv2r8ak9TL7UO8P27b6hFSbdq/1ryk v9QowD9Eoh45z2bav1V8GWb0fMA/NqltzrBl2r/U4FUd9EXBP2xbfz7jYtq/ HfpZr+TIwT8z/9aU52DavzUXI0kAV8M/X1y9FuBa2r+6eIdusYzDP+zM3HcF Wtq/UL+PmkclxD8GnmeZglfav5p8tEMSC8Y/2NZRfA5P2r8H2+In7R/JP77a R1O+P9q/2MC9dezoyT8SJ0IlhTvav/B2wu1SS8o/OrTQwGM52r+CEYtGuEfL P9II85S7M9q/fbvdPRy8zD9vPGVeHyvav8i+L83fmc8/aNSL4RAZ2r+9dIHf rhjQP/7Am40cFdq/j0RqyCCZ0D/5t4/YMA7av27QEmfyRdE/BDMTop8E2r/3 5fUzPvfSP2rBix/n6tm/haTDolo80z9fXdFymebZv1j8ev01odM/+yrcXDHg 2b8XGVKa72nUPx+q42IR09m/5lDgJQX41D9LL6LQecnZv/+zXTE= "]], Line[{{0.34054248340486104`, -0.40202202329405495`}, { 0.39257322403060796`, -0.3980582041009718}, { 0.39922312899433554`, -0.3975127099991431}, { 0.40587303395806307`, -0.3969584938579592}, { 0.41917284388551823`, -0.395823985066311}, { 0.4429685219864758, -0.39370593745123567`}}], Line[CompressedData[" 1:eJwd0nc41W8YBvAjI9krSbJDMiNEdb4kIUpW+EkiUUZIIYrsyo6UrEqolBFl vg9SZGWEE4VsmkJZ6fd9/eX6XPdzP897ziHmcM7UaR2FQpmmo1Dw34AmPo0Q jU/UjBq9saGtH4CHusGOXWGIGhuo/PNpGw20pJI0I08NUd3umkwdf0WD2LlH s5c6hqgOHd7PLPJpoJrQ7eTw5DM1VmFqNTeQBs/GirRqro5Q/905rhHCQQNO SUblzrQRKq9wvvjwehp03tah39YyQpWrN/Des9ILak9+OpzXHKXa+H5yzxvq BZb4GYa9aJTqPTxS2oZ6oYk+TIHCO0aNupC7bcOjXuDf28/z7s04VemyYuVO lV5ok5Vxqn4zRX0SO/yo90gPaG6car0oNk31dDoUuKzaA4aS7rqTJ6epreXt dgxiPWAuX9rB7TBNZZ4QDfoj2gO/Xis/Zh2dpvpEpYe0/OkGG6F75pfkvlAb 33T1hA11Q+Lb6NM2r79Qo32aD4oXdINh4bEIduavVDv5AtrE7W446j2uDrJf qU3F7TPHYrrh4kjczEHbb9SdO+auhUt3QyZrcyj3gZ/Ui2WpoavM70FS1vvW F+9Zql6OLi0itQOkN+nl87LNUYv1iyY0tnaAx9j2kZJni9SV93+Dh+jewpDd B+bat4vUvCezx5a7G8GMFqXQOrpItXrDviD1uBE0mif8xwSXqKKrnWrPTRsh 60QsyzbnJeq17HdW3LQGKOU/l/D2yhJ19tDTMZbiBjAJiUEsT5eovhrBYY4u DXBN+Wu9A/0yNSuGYZfK4Bv4/HvO47L9MvVO8bLkgUNvoJZ3853dXH+pQgcy QkWKX4FqTCM6sOMvlZK9aeONa68gh8lv9KjeX6p++Oo7wZOvIHqxR/Fs4F+q fY5Cfx7XK7AcTHqTOvmXGl3IlB7jVQfTj7nmlmtWqQu1WrPjmrXAIhYmPahB IRba+hlefaqGQs47NVwHKEQEXbChaUY1RFhlqG81pRAmytl0r22qQVgpryjK lUK4Xgoc1KJVQV9KiSwtnUJsLzSom/1QCXqmnyUmZynEd6JTwmBXBchtdx14 s46OGE89KZH6tRz8NEpGZNnpiCIWsxu21eXQclt6e00LHfHz4su9cZYv4HyT f58qjY6YadC2P7rtBei3a+9eHaMjsjh26rhPlwLaJZIw/4eOaHxlMBWaUQpV F+PPlCmvI4ZYDqmPPSuBp+aLjwpvrSMmJ3PLPwo/h1iuZtl79vRE3ovRmGnd QihX31p62IO01thQC38hjNqdo64E0BOedb4TOzsLQOspr/mxFHqi5kR75eDW AhhpYEo63EZP1Ou4a4VWP4VHdEz6cX/oiQd3tz2KfJUPB/kjkhU1GQj2pO/b mxSfQL7Xi60BugzEiqd5Vu3sY7BZyZvpsmQgzH59MuK//hje2F0dC3JkIIYL 24PsdB7DTxG1RUVvBsKTqbh4749HkFF1RXw8j4GgGM3dKKnLg4V5zgum/IxE sNIZY6GYHJDY6vDvnwQjYb/3OV+OQQ5QjbygS5mREC3ZGSjHlAMPE60ymI0Z iZpq4rlv6ENwkzlAn2/NSKhtfiaRq/8QeLTKph76MBKUdzsktjZnw+7pxVoU ykg4hEgb94dlA1u3brRwMSPB1Cmx/nrFA3jqslNwxwwjwcWfY+Wfex9ocWHZ tFVGQil8n3uhx31geNmjEMHGRNjv9wmJVLsP2sYx08PSTATN/h87S+M9YL7/ yi3FjokwCdSKOfMrC65c0JEuymIipNLinBTpssCcL9N4YxMTwa+A0ve/z4Ay 22qDyx+YiJ/HWfsbXTKg2MZDaHCcichq/Y+Nnz0D6Psi/Svo1hOUNJ6F7Vbp kE2rUPFSX08QUtxhV5buwu/5zpOB2euJUUXFqvOn7kBs8lNLo8L1RHD//oXj ondAzUKTsaKa7Mtpqg103YbI92YOybT1RNb6Kzev7b0NMl0RQkYczISovPBZ oy0pMCfxyfqVPzOxs5/utcNqEvDE+1OlI8m8ZzjnGkqCiiNM35OSmIlg+9QT B4KSgPWdyCHPAmaipv/a4uq6JMhvNWWUHmMmCBt3I23em/C9qcw/yWQDMfT+ 2yMdiwT4/k3HYuD4BuJXgoIju1gC7DPs7DnnSuase4McvsZD3NsvKociNhA1 N6P8WSLiQalR+Dtd1QaCeD3s43U1Dq64P7mVJcNCiMR7+B5LiwbhUT2m3yos BHG3vl7CLBqa1214HEiwEBQOk7/b6aPhTh+7wqg1C6HX63Wp3fEGfKhIDs6+ wUIEX/v8QEXtOmgX5mR8+EH2dzq7EP8i4Xubi479CgtRs16rg1IVCYmf9dcl M7ESZaJPtXrDI8EANu4t42ElNvtcFDXTi4R52QL5OTFWgmj8OzTwOwIePXxZ xWHOSlB0b270WwoH7ruNffvLyPxE5GiARBig8utXmurJPGTsVNaXUHClGYkf 7SD9Ztu3MyWh0OIqWDo1xkrsDjAeUP4vFH5X18itLrISXc/2T4czhYJ//IcF PyE2gjL54Pr+iyHwOXya/1kwGxHMX8q++UcwxGbnV6jGsBFEZ+LFkppgQEom hlmp5LyBL9+9uGBIpsw+bCwm58023yjVCAaDgGXVkVHSXephMhuDoMiTzUzA gJ0ITvVWlLsRCC2pvP5PLUnrX0xPVQ+E8XrBTJ1TpAVdBXnHAiDO0rRLzIed 8M9v53SPCIDAQNVptyB2gvuRaT7f/gB4Q/3FURjDTvQHmx2RnrkEYbUHQmtL 2QlKvYjEX5ZLYMkT9PysOAdB0Sgyz2jwBc89ER/+KZJeOSewI9QXkpc62ZP3 chAsTwUH46i+ABV3D4EVmcteWOituAgyjmUjvHEcRDBFJpen8gIsPZ/hrV7m IHzo79rNDJ4HvoGF3aYbOIlg9S98DbnnocRvp+QpPk6i6szD1rhL5+ED/THn GkVOYpNtE18+23loYdihe9qFnD9rYGCt7A0tfKr1igFknhN4b+6bF3C3qQfc o3ESUfV3E2syPGHLutMVvsOcBCO8rjO+7Aldj7xrdv/E/ZvjvEc8gSGIYCpm 5CJ/70jvb9PnQKPrsOlHUdKlEme1EjzgXoDrtNIx0vtOlk2yu8GlhIm/4ce5 iHfI0mTwjSvUMOQxDjqSubjkwvlgV7AUecfr5clFqF5eIY7+OQtqxhd/hUdy EaN8nboT9GchMyrPf18cF0H9sK5juPQMpNYfqb9XRfZfNJSWzzvD2EPbtoU6 LmJ+6ORRhQpnKDeOHjzylszlaKUGQc5A62lc+ttN+nLFkjurM/BPaSvb/CAt MW69a8dpIHbXNqWLcxPO9zicPoScAnHTzidnZLgJyo6AbimLU1B0y7O8RoH0 t+eipRKnIE1mr9z4bm7C2MXGSqHNEeRvHFhtMucmFPbMb2RkcoRMGYcHFWe5 ic6DP/PV3B3guqWAX2gk2W+qzHuefRJCMleOzn0lvW9JKcvNDo5EBweoznAT AZGcA6t77EC49nyCwyKZ1/HKsA0fh4rh6fZ2Rh6CsnQk2cDmOFxvul3vIshD RCT92CwXbAsv94eaPBXmIQYPnr+0YGoLtT674gekeYgTVRrDx//8Bw75pcan Tch+MH+cv6MNKO31ck+3JM3x7tBRGRvICUyMzbPmIboGXklks9rAZx59G+8z PARfwYcjL/2sgV6ecUUlhIfIbmk50XnHCrTLPQxoz8k+23Wr13OWwGEoe4az gnTggT/2dZbwsW8sSq+GtAAdU2C8Jfit2DaWtJDWjf0kq2AJUcxtrp8neIjP dBZaEXYWIPpG+oDhJl6CIlXZqb/eHDq6VjYUXeIluASSWS5GHIWkJPl13UG8 hMjGIoY556OwgZK+bncUOV+oFpuidhR45K3rS5NJ207EPpg0gW2RHQcLCkn7 vJ8LOGoChlp1h++Pk84LNbE/exgyj6QV2H/jJYL6LJtDpQ6DmcsVLpE5Mq8q Fzs2Ygy2yZqdd+n4CAot2oXxhDF4/Ci2SBYibTI5YWBnBDcfPLCNMiX9M66x 85IhCFRcrdazJm2baMatbQhp7SeEGe1J21+JGl5vCDl/twxddScdfOO0WooB lB1LcgyIIl1z1Ni3Sh8GioKf+SM+gjfw9GilyEGQ8jntZy67kaAwPDZ/oq0L 8pqDZplKpH3UbfYK6kILzTJ3Wm0jsf75Ty2p2f2gE20wHrSfzM2v7mLJ2Q/V JQaelbYbiSvvUn5d4dwPt97/UlwXR+bMon6zv7QhPdWV1TiZ9FycRkW7NmTb j46n3CVdcuxU6zNtKP7anS6fR1rj1mK3qza0MZSzWteSzqv2+m+KAMZdQRMF s6Qb8weUR6jAtvynbmkRz39XzcqlQodt3Bd7Cj/hwqQukORKBVFjB4t+Nn6C QiF05//sgz1OB14xSZEu453J5tsHPsmsmcetSMsslt06tQdG51MsWatJC5QL 8hzbDfe1Vc5/ekVa366jZdtuOBHTFlfQRNp+n+LCnAb0STK+NaORjjI2TkvS gA4zb620WdJD0q+WaOqAioxE5WU3ke/X8Re9oAaBfyf2/FMiXSa15GCoBrsN Qq071Em3fyIYRdWgZKg88cIB0jW6h51adsFjTmlGZE9aI+uA//ZdkOJON304 hbSfBZfMnAqYl6cxiWWQpt1vW2xTAR5GDYnZbLyvUX3rYxWITfOwTSnG991p FidVIKy5v22wlbSLgKdf107w3P7iuSeDAPl5E0b7XiuD4djZy4lepIkRXv8q RdC7LJGv60e65jrT6zBF0Nn4se/3FdJcvRfDjBVB84Cxxn/ReN7jmvWQAsg+ VJyVyCUtOihBZVUAVqc5l9KPpD2jwvkvyMHgnoMnnEYEiAYxhW+KunLAkOz0 ZvM0mce7+UbzysFKfY/ElT+kC1nVY57vgMCvnV+o/JuJ2s44p+hPstAyetmc dnAz+Z7mr+6J26ExUC30+mHS9r09+s7boZ7vR9EeC9IUwxH/PdvBUTWP857D ZiJStdS4f0IG8rN1ms5cJvN4jmMROjJw5kX+lcHizcSVJc+/l9dLw60o/U/V IoKEz92HVjeRJLTsGH1vKylIvn9K2TBXEkKfXM74Li9IDBy0ikjylYTfLDv3 t6gKEu0ZBpBsIQlsEQPHzu8RJEzrSu/uU5IE5G298k1XkHgn/PKg+HpJ0BHd cZHXhNz3M33fpg4JGJ/1GHUNEiRcfrve+T4nDqLHPKyNMwWJj24cz71dxUHo /aLF7Bg5X9N26vseMUjdYvxP+SvuS295KSEGWjmH/gr/FiTSm+dTOVZEgf+X 3vK3VTJXuuLL/0EUuLiSsiY3bSH76xKnfUWB3kjhyycD0kNeCxGXRGD6lUNw 41PS9oZ7FN8KgUgC7WxsCfbMR9Z0ITC3O2xhXonnrT5peAmBIcuBH7nNW4gn VqhFeIMQHJZaviMyuIXYEkhVE4jbAony3O//jOB7nZoVnltAKwWkpQWFyN/D /zV1hyBEnxV6Fx5BeoiyHP5+E9SqJ5YfisF5dPH+ok3wm4E5mzuJdPCCOzV2 E9hnzvql38P5x8Xv+ptA9X2TeGkVaUJ1XLSWHz7t9b84+ot0zbl7zlUbQYG7 Z+v+E1vJ/d7p3v28MB4zHpLsRJrwr5mt4YV0lj8TE66k7UdmM3J4gY1BoDja jzSl85i3Ny9M/7bW60nAffEmBjZeePjxk8eZemwV+tt6PCCUNwZx24XJ+Tss N3u54L3kb8lhRdLBB7haarngxj2m66pqpImeNKl8LlhKlTb/oEPa/qAt9SoX 0GLOTIrbks7SYFmU44Kb579xvYjF/f2pL/g4gYU6f/LjLHb9gzcv2MBPW4b5 xRLed31XfRwbjO//71kcnQj5eZOmKGfYoE6/dkmHkzRxemiXEBtcMo25+UgW 5+LHroazwhenba8vnsQ+9EvLkQVaoi1kuN+Rpsj/stFnBs24qLbpbtLBG/3O yDBDXkKlT/1HPB/A95iZGcJuidX6TuO8clvN2/Ug3P5b7sc6UfLe4Oiuw+uh 50Pdawth7OGV5RNMcPCbzR9xC9I1j969yGaADL7QriArnDtHDV5ngDmtJwUf /8O5QLeCFwNkXV92vuUgin9fEWIfAyxJp9E2eJIOVjks1UcP+Q6fyn9ex33F g28F6IGLdiIQ1eBckaW+gA5O/4u02lKP99XpHUylgyqpQlW/Brxv66OpMDo4 c4HyTbkN52wcN2zooI7n3vGH/bhf9FJzPR34GA/vi/6N8+pKsdMUoNWdorOR EyPzxZpwr1X0U7tP8LIiduQNiskqWl97RDVrJ/bvU7kKq0gNNJ3HNUhTdmv4 ff2Lkiq5Wr0P4HxZQuTsX3SkpOr2DTvswgwD9xX05iGfUnU8npfNdkxYQgOS 1w2GbmLHBY77LKH5B/8c6FPwfNa7GKslJHl/OtkgHefy7AaiSygko2a5+xHO mzjcihbRvhS3hu912GeT1PoWUGlUvZ3oPHaJSYjuH5Rn2CwQuYD7KkbSsn9Q Kltn57dlnH/58YPzDwqOH9SrXCdOOsjkS/9vZHR7ScGSizQlzyPswm80nKv0 78YOnLuIchfMI46GtMw/J7F7jyhqziG6aw+s7ZywM1dGJObQnOFj3tcuuK/G +IJ9Dn1oexmZeA7nPheLPs+i7J7Oc/KXcX6Wnu7GLNIcZyYcb2Obcn0a/oVO M14YamvD8yYsZ3NmkKDI297lDpy7VpYnzaA2ja3vZLqx/dOEQ2eQmtvr6pB+ PF/oJ20/g5i6Nt5Vm8S+4Lpzywx6mPXCIoNOgvT9E3zJP9Go1kKTuyppirJE ssIPdNvCqC5VHVuXspHrBzI6l1XeoIkdG1k28x2V3NfPE9PG1us6U/odhW24 E95tjN0n6bnvO5Ls3U3sdcZeah62/IYcvQNK2VKxWWyls74gtZ0DpdvTsV87 6kd8QSy/iBd6WdgJjhFuX1ChF9PL4Bxsl1Kr3V/QimdC2Vwxtkac6ftpdOtc buXHZuwX+wI4p9Fbt67a/L/YIdb5dyZRmpxa3VuKJOlGJ+nQSeT59XbdOD22 0+ZKt0nE72b3SpQFm7q4g5hEDq5T9Un82MkaSpMTaOXMv4ZARez7O/L2TCBF 5x1tRiexX5he/z2GBs6InHt6CvtBrtrnMRTtxsvF4YJdULvcPIamvJaPvvPA 1oR398bQg8Dm7qOB2F26dw+PoU2Jrp8sU7Av78vOH0X/qp58tW/Fjp166D+C nkFmTG07dmujvPMIsq27qSD+HvtoWpP5CCpvCPAc6cOeKtRRGkHnOw/NOU1i xyRvnxxGExNfls/Sb8Pf56+K/4bROx451gu7sZfFdh/9jPa5u0/d3bPm3n06 n9GzhmcNdVRsBg5zlc8oNlA5jEsPe6ggf+NnZDSu9veJKfbwa77+IdRUrv1j 2BV73q3QZQi9tj/WZZKBHauusXUQqVbeLvK9h53PPbhuEGVv7IvLyMZ2y8ya HEBhTbZGXx9j81mdLxlAOqoOryNfYjt0mxkPoJr17i9RO/Z90/HQT6jyWchd OXop0gsLofQfEZORhWAKEzZLp8V0Pzo6JX2HjgVbtlanox9NSLTe6uHC5rF1 z+xHvHc2JQYLY9/vpdvbj1xD86Pe78Z2UGe93Ie2WPVcCPTEjnd4xfkBnZ7P mxs/j73aV75IQ0WJAeeP+mIT4Q0jNHSwVdRL6sra/lXpMho6r+Pq1n4DO9Vt 6SQNNctRHCVzsQ13tpb3ogA6WZOWT9i68V7+PWhcl5Um9Xnt3mGf0z3IJOrr iauj2Po61816kCRnwTm1L9hKHj/ke1CLkGpc1gL2C+e0kW4krLGvzYdXmvSl UnfTblTnYWq01QCbT9Nm73vE8vGSvkcJtgAnv24nUvN9xB73ElvutK5aJzrJ Q+ssqMCe1A6S6URl+ruOz9Rgi5sJsnei06U/vHxasafdR3s6UG3sqbuXxrEr DKrdOpCf9uHvEQIypAd6Ze+1o7EcsaTMQGw5ln7zNvQ17PMifTC2bszgnjb0 y+HeCZfQtfz1kmQbooiI7VC+jp034zPfigRTROvqUrADwy+ktCKTSJGfY8XY ShaJgy2oynmrkdwUdk3kraBmlCSzmaHcYjv+/+RkWGpEtnZSuSNW2Gy6epON SDJJxZDDFpsrIaWnEZX8M453dMDWUHd+3oje94QIcZzDdttc7t6IeMO/qjpG Yaf5CI41oMTP4MReiU0MeQ68QfGppxtOisrie2NRC/XI92LI+UAJ7Lk29+l6 ZGeaIZIihS3Hb/exHsmx9Pi2yK35pn1NPXrrf0BGfTf2bbGvUfVonbXkNTZT bA0vPqF6dGHTsOHLUOx6fUfDV8gm6Xgb2wS2ff94fS0Ses6yxXUa29bTpqwW DXa8dH77DTvwAe1JLTrFyUMXMYcdVj6XWIs8rr9R+Ue3g3RZ6OOTtSgkWPHO jBB24X16ulr0yI3uVI8ptgyT9MEatKD7cDETYcdrWg9Uo8DKzND6WmyrUxbN 1YiyM5V9qh47mMu+rBqtF4kT29mMLfAyK7Ea8S/6GdT3YhODrQerkcpTozuT P7GZ01tKqpDHxjkNZQk5bC2mO5VoZEzHry4Sm+YyGlmOdDLb7svewG5/2n6x HGVZ2bQmxmJzZTc5lSO7Zi9xx2RsfdeJ/eWorzCrhf4B9hDLK0o56gxYFT2A sE1y/wSWoTruircNc2v9Krqgl+j+XuUtrSflSfuBUG4pqjvMErp8ClumjjG1 FA2fGJne7oLtSV2ILkUSIckVER7YZbGL3qUo+82iNRGAzXXXjVqKHh6pu/08 Cbv9NntfCco7acaf2oCt8YmRvwQ9Db/A7SyvgN9nuye3GEVaOB6in1/zCrNi Idr18d6jyFZF/F7u4IEn6Pb2u09bDynh+1snzfNQUE3M7UPl2PaH4/kfIuMt Fg+bJJXx/Kqu032k7dHwH/c1bC5BN2oWyhRykGyZx645/DwoDUm+yr11+L+d pEWDZg3uoHj5OtlOhE0IfIi5hU7PMnS8lVXB+wtOLN1EDkW/RK/FYWcl/hpO QG4hZiuGCdiUfo2+BHTBrKSX7eZarh3WkYCi5i/Ext9a65vK1iSgZ7sXl1PS 1+Z5nqcnoMXafz05T7AJlRLrBBTfyRZT34AtGna8Ox6lPnB3iXiLPXSLaI1H D3za9us3Ywcfk3kdj17wxy81t631RxhL49FHG16Xru61++ULSfFIemTz/uGR tX0RFRbxSKnkknD22Np9oQnjeKQZ3r/oNLGW6wroxSMj6fTCqWnsmvlItXjk 7SoqPDOztr8pbVM8CtxzdbF4du09m75xxqNw9uH3PvNr96q0mePR7YIHNxYW 1vYH/pyJQ/eDGZwrltb6QiXDcejJUSedwJW197sFd8WhEvE3W/etrt0LsKiP Q2hWavHfv7V5BZXSOPQ/9vrVRQ== "]]}, "Charting`Private`Tag$30145#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwd0Hs0lXkXB/BzIrlE0iQjUSLX0U0xJ7XPm9tIRTISjSlTzqTBK0PplRpZ uU5FFycTEmmkiNBlXrYj5J7L6y53Qy7jHAfH83vI+8z8sdd3fdZea6/13Zs8 /ZzOLGOxWDxm/k7ZOt7twsDf9u3POmLX+AWNJ7XDDh3bGAzDP2pY1zM2XeOe oq4VCabSzaJyxiG6A9PeD+6CX9EjwTPG9jePX97vfB8SOaG6DxkXcxWFCY9T YSRDcNyfsWNZaaWSVBr0CSyMPBmXb08bUV14DGp2GqF7GW94pJnL2pgJC1vS /6XMOCc5b2bS4DnM16YH166hkZw72C3i5cA+FpWdxvghuztKYp0LjtKc46cZ O4mUIj4ffAk/N2rKyjEe5dsKZs7mQ0TMs7vNKjTGnl48IaYL4AtroV7Y3070 uyPUegPVH9G0bjWNT5d2tEut/wOoAHW1w4zHHtxpv2n5X9AmIxwWY/Md+V7e wQgT0zExa5VpZLdJW8b5l8D1gaFDGatoVH32SlPBXwAL2auGlpRobA5ilSlM lEK2c6E3pUhjn4t2WF7aO0jXl3E5z1jjosBZdLYMLGTxSedKGhND8i1VFCpg qTjkZIQCjSu6BvQmtaqguS/MXSBLY3tJUeDEaBV8k3j91OIKGoVBpZNO9tXg MaN+OZFx2OoYm9e2NdAjXlt9W4ZGBd/3e+pyamGXk6mTynIajV9wNe9a14PL yuj3llI03pN7e2+E9wFuLK9tn2cz//JocQ9Qa4AZR4vn0oxdPA7piEMa4G3Z T/+RZ9H4/ZX0U4/KG+Cw+sLS4SWCvg0qvGnrRnBpnVwh/ZmgyoPKZaK2JjCV aunPpgiq/eBcYPV1MzzO7Cq/PU/wZXiUDKY2w8Y0hzffSQgW8kKTp87+Dxz6 HfyoGYLvbdp3XipogW1JHd3vhQQbxl4Lzy62gFmX6umeKYLroGidyttWsP3h abnZJMHU6hT/ca0O6OHJ5SYMEZzhFxj2xnZA4afcrdMDBG14NYNNVAfsiO5P tu4nOCEl+fZtcydEizoc2j4SNN97mBMV0Q1KECmV0UpQKcb1ndlUL3in6yUL K5g+IOehaNIHrkXG/M4ygnu23OFEnO6DtlDtXUWlBG/MZIovNfaBcUSag08x QdO4ljOeWf3w7w+OysEFBLOHc/eU/DII9i/dJWkPCa7SWb696cEgrOSFRp1K IdjE3y+lW8v4gJKDYRLB3VlCzwDOEFxRdD4/mkBQ/pZIem/xEBTXNe/0jSNY LRVuwlozDHKCykzLXwmq7u1S+VDxJ3xOscqLCCJYb6h/pqjiEwTslmN32hHk rP1UF7RpDE4qDBfFWxE8oONjNXpqDK75rFtI5BJ0/qqgcbXnGOyb2uDDZzxd vv2pwtAYcNjRSd+ZE3TTSHW+ZDwOsaMD9S92EoyvivVyKx8HGemFvwQGzL0X x64ryk7AuDiy2UKX4JHzf5qh4QQkbG0QD2gTDBq8KbI9MQlLyUYxJkoEUxRq rq22FkK77NWhq00UepdcOnHVQwiu9oYD8fUUdvsa7Zq6IAQPk/Ce5GoK/UIO XWl7KoQtNa900kopjOMftItUFsHSxy/rf8yj8JpuvdJSlwg8fvvKv/EWhU44 csQpRAwG/KOVfrYUHguc/8cXUx3/MV9ao7s6XQxtXVa/UEBhZZWXZmarGAZ0 Xpnn7aZQ33nh0RnODHwT/yawdzOFzzVP5AyzZyFQQeKmvziP3vGXixtuzYGs UeuOa1nz6DtsMJifTYGfmdGGixIJ9nl0yAqqKND+PSuRCCV4tD3SpG6IgozN nIygMQma14wED6sTUGIP/+T+UYIPv78hr8sjcGHlrdqsagkWqPrFVYUSeFJo E95XJkHHsF+L5Z8TOLA1keP8RoJR2yfKPKVoWL8p8GpOmgT752Z8L5+kIcDe Zc41VoKCNV/e/1p5EXoNF3y81ktQflO4Xq85i8t9bZRrt2UOX6y6X6JszeL+ VR3XL6M1h9ddk802OLG4Lju3hVqsm0PNbb/nRp5jcd+NXuj7vGIOOxPyDduT WNzo8aNN9z7Noo1T/+ZRMYur3/istDh/Fo0NzvVULGNz3X5udUvKmsWL5vmD hopsrped7m25x7NYy9czKKllc0Mz81QERrPo/rpwaHiM2T/hG1mozeL/Afns ek0= "]], Line[{{2.252451401427962, -1.3142655361157185`}, { 2.288501476144168, -1.3016158950431314`}, { 2.4100163241570103`, -1.2589774477041735`}, { 2.6624075685589377`, -1.1704156714337697`}}], Line[CompressedData[" 1:eJwl1nk0lW0XBvCDeIXKPMcJmckUKulJEkIylaFMiSKklIREmUMlpAwZSilT JNGzkeiY5xAlhGSehXzPfb6/rN+6rr3vfc5aZy27HDxMnGhJJFIeDYmE/rZk vckrO0+PMYRGx196PgfJRoW2QzxM2GBxVkZsySRMfgz4FCXBhMlz6VRppExC jVTXVec1JuzDmVaTEzITUODJYsqrtw0bzg6q+CoyBs9uuo4rnGLFFOJ9766T ByEodf3kwgQbpmRTyfmzqAdORAXeVJllw2jmM06eSOoBocor9x1W2TBMc8pK x7kHPgyOt7TQs2NjDvPR2/l7IKIusdqFnx2znLpjs/NJN5QcCTZ+I0SY9tn7 psBuqLy6N/a7BDt2Z4Puyna9bnB4XWx43pgd80zUctQ0/QqHS931ut+yY2nf Tqmc2NYJ2/WlL+z4wI5FRftFTv3ugL7eX2E6FezYyq7Smdc1HeCzbvOlqIEd e710KzU0sAPCGJtcf46yYw9Navh4f7cDuUbiqD4PB0Z6bzm4d6QNWtvXtxb4 cmB0M8uTAwMtEBcnR9t5iwPzeRAVyF3bAltJybT7wjgw3sqXc1LJLcAuZ1ld /IgDayHv/GBh1QK7Q1uP5eVzYKwV1hfs3zSD/oEqo/QRDsxuW+w/Ul4jPMzI sAkz4cQUbrf1mi1QgPfD7Y86lpzYcF0KQ2oZBZ622ArR23Fisa2Fj7WCKfB8 Q2Dg9iVOLJuF6794Dgq8PxXneDOME1v5507jrv4FvhcE5t7AObFMxaiwiAc1 IH71vI+ZNBemEG0uzxLxCeT2/zBNVeDCvtSf5vS0/QQN3RYvxlW5MBEljlaB vZ9AK0pv5NYRLixzN6ne5mcVfCzS8yyz4cJSdltyT2tUQXzH3B7aGC5Mm7mM Z5O2EpKTXJkNHxEO7h5Y7auATLvhkYQnXBj5lJOURkkFFE50JstlE/ukH++N d6uApi2lzJaVXJiPhXO/YjEA/d5bo3nzXBjjz90qaqEfgWVtuervKmGVNpW+ Ix+h1Sbmjx2JG5PdzVM2tlkOZEMH828s3Fj+w8N2k37loOF09BODODfmI8by bNS3DK4+Yk49c5obY53+upMhphSGFxMsmD9yY8b0XyaPcryD9MPKV/o/cWMz 1z1Gub8Vg+29ppi8Om7Mbhm3dMsohl4xeoppNzdWYcrP8WxvMbSaeh14Os+N kU9Ev+O1KwK8wIAsJ82DKeTrml1vKAS/jVGNTQUejJTczCr2tBD26QVbtqrx YIGeB0Z13AqhaKD0gfdRHixtxt7oz7ZCeLVDgh6348EwpQ72eIsCSLhEM26U QPS1uWusVvPArPQpw64UHsyOvOtz+vM8YKdXF53PJMzY2PDBLA+in7rbJBQS 84tuPGZvc+FO/bemH42Ec2T61268AU+pd289t/Bidokl8y9kckD/10X/B5d5 MXKAwAdurheg4y/6WtuHFxv4EJFztPc5aHH19S4FEA5LLGBOew77jxqqW0fx YqTNbu9Tcs9BOmvPvOgLXgwz2yyqNcoCZqcFl+I+Yj/JWe1nTgb80Dhm6zTE i/l38+2YvZEBWx451fCNE/0Xg5/sdTNgvbpLNGCZF0t7vOvar5F08Jto+3OI mw87s9Jh7b4jHRqG/c26j/FhJAf/MpGaNPjipxocYUSYfrW08EkaVHNOF2iY E+6UIRVeTgNHlewdzxz4MNVtzHR/hdLgdaZW3QV/PgxLuvZSdCMFLrx7HfCj kA/7V3muVTzjKcSH6fZ/FObH7mYd2nznkggNMsMdNmL8GCntrMEzzUQIzvFP mZLjx/qqo1xhLAGWmJSONKjwYz3fe0Tf5SQAS8j3U1c0+LGNXbZrWy8kAO5l uT6pzY9Fv9WVaBFOAC2yzDUOY34M43E1vQfxYFWPTRQE8WNP3T/YKIs+gqIM 3ovHwvixwFCVhvTlONA81/tLL5ofS0rE7ZQpcRDOcyM+7Qk/llk5LfDBMQ4U 9qonbi3ix06b9maK5z0EwY5V8/lfxL3yZjJJJg8gScBwU3GC8Onm2G+SD+DA 8+MbQkv8mLVp9rGA0fvAPaezNvmPyAM5JOly7wMra1zaGI8AFij+OTlrx32g M5D/068nQOR1w9qUGBj/5BD45Q3hKhPy/ZRIEL7ffTG6iPDlmPZN60gwO2tk blZGuMJeSIg/EvSZjk6/qBfA7C6ymzwPiAAj8bXHwj8EsH2VOuztlHB4IMfW sTxE9GvoBNufhsOBBJCQ4BfESBSO/5o/hYLnub3sk2TC5U9qbSND4bliznqh BGEhrkN3TEOBtSG+VXMv4YXy9du/QmCY5H7Twphw5hH93awhEHVRsPluCOHG 6uyPAXegUu1B6fF7hLHWgA6jO7C0hTGTLY7w98vxzsJ3wC513if5GeGXymob lcGg0lEnUlxOWG/lcyVLMPQfvHFteI7wV8d/CSW3QZ6ta+cR250YSazcoqko AEbujQQ9ciJM4lIiXQ2AZKbl0VFXwjUpMfXKAcCyhbcwyofw+Zj3ksX+ML5k qdN1H7lrvg33g6y+fvcL1YT/UrSzJnzBxnKqvayOcEO1S0WRL3B2/VPf3ko4 +4bLWX9fCGoWpnvbT1jEvWUnqy/YVdknrC8RfnWyM+TADRDM/gUxUkIYqZqG fjb7OnSILYkN7iGswFGa5XMdIp8xRKioEpb05KnTvQ5/kyTMerQIB9p6nRm/ Bt33LoyJ2BA2e/c0VukaPLwyyfoumvB+15LDXVeB6dCifd88YZI/u/A5L/A5 LMn47i/hqwID3RpeMHLEOjeGRhgjeT52n+Pygirdyr9aOwiXezVjlMvga3Lv 4UtpwppTOntULsMfp92fr9kTNjCXuM3vCVYup12NXQgrHHsRPusBXy5Gskl7 oJxlozDXAzI9Zs/0+xH28Z4ZlvYAmxsfl44kEm5Z2JMo7Q4NUeaSbM2E30fk 9h11g/0xYU3jnYRtJoqrmd0g+37Z1eo+wom5W1TbXOFO/K7K6+OEebO/59q5 glDLkuw0LZn4/QjItAdfhK6eqs/mQoTTfhbATxc4Nmm1LGJOOCy07/W8E6Rw BrffOk043+AwF8UJFg7k5PVZEy43P9af4gRpEWvO8Q6EO+Ruhh13gr8ST7u3 ehJWvz2u+PIcvHboL52JIMx7l8zi7Qi0EfTxhtGEJ2Se0Rk7wukCOa9X9wkb OI8byDgCPSlA+lwi4czevNZBBzibLPTkaxbhPsZL0eYOwNpt64dXENZtCpfX s4fzm6GnBaoJr/dpj0naQ7l4vopPLWFjHp4xRnu44E2aVGwizEo+VUKxgyr2 Z2eyvqG+PW2QkR1cNRzUjFoi3M20du3LWeiuOkdjJbuL+P54/1r7WMPM4V5+ /z2Eddv3Hde3hv8qT6ikKRHOliqNE7QGVdjvPKKO+qpWylVWEFfG2uh1lLBd em04mxWcKCpPjDxL2NPAZAlOQ00Wp8LHWMI+V0o3LSzgu1iE3sBDwt1HbbqU LGAxY9OBLoGw+t2U2e0WIJY+/kgvGVmjaL7WHIJSKtY6XxI23mrOfdAcNBPc aqeqCM/c17RWNoPisOqz5EXCZBVOUwMTyNav5w1dIaxAL2oiZwJJLG1tk2vo HtHF6O0mEBj7Q6eMVoTY960IWk+CQeJfeQtWwhXmL6esTsLgC4XNSBnCM4em tvsYQ+cFtdI5ecKxSwE5NsbwRUbziqUSYexFvv9hY3iTd3xUfB/hwHC+SmZj 8Ck531ypQ5i8et796AnYXvs0ddmeMMnFZ+2tIdCEZ1iedSKc9vqKf7AhLOi/ 4vjsgrxYbWNqCD1NJaEPPNA9vmoKCwaQ2dXmIedP2I7nIud+A9g/wog5JqJ+ wWPJLn04T+890NSE3mNku6+vC/zClK9rrSi/tN4rrgtN6jubJTtR/mregU4X VN0+fwz6hqzOJ/PxGDC0cz1RHUP7Z7fEKB+DrLR35ik0osT84ICmjA4MH1ip u6SCLPnq4BFtSDQ3qEpSI4xpOV8S1wYDj7TS2v2EyRsvGrdqQ1G6bvauw6hv oSnUegTubH18t9OQsF1g/qL9ERD7ug876EyYZFC6J0oLHL1uFrMkIUc9DCEd BlWl78VSyWg+vD/uNwZMc9g7nTTCFd4DtW0Y5F9mKAl8jt73oHuShcG65/33 C4WEBwL8pgwwiPd4UdZXj3KDVlHtQ0Bxa698vYGsb61N0YCnsqpVFJIY4R/q yRka4DmRWDVCRzgwNE4hQAO43c5+IjOh3FOMXkUDHFx/V8dxE64Yc7FKPwDr FzZr/fag/kGFs+H7YY+zTJOBPXJ2uFqAOny/IOzx5hzqqzwJtlGHKDcO1u0u aF9uC8MBdfh9ee1kszvqazMWrKhBhl9950k/wqTaW+HX1IDngWu/RQLy0ZX5 m6qwWZ4zYdeI+iJhojkqkAup9ypb0H4PLClGBWyqHsqLdKCcJlPjqgqU1t70 HOpF7zXI0WmqwJW24wtOY2hfQXF0uzKMjv5Zu0i3m8j3TdkwKEMzuyyz9z5k 3bQfYYqgeenS7ycayMWp+BVFyK3Nra06RLgifbHsrCJE+yneYdUhTFr+xrpX EQxGVDdyTAgHFksIDSlAXenh6UFX1L8X+1RbAT7bnWo3TkH9zgNtavKgUpZY cP0Z6qfv9+SUh0yu3piUTJR/fXZoVg7u1NkYTLxCecHFyzlyoKXi8Dm0BOWF RrwiclDx36USvAW50kuBVxbKcoOeyNKJE/0jptG7pYHBwJw/gQH5kJoBvTSc /C3xmIaJMInj8b5fUjAq2hjfxYpy2ofPsqSA4zHPg0AhlCvmJEtKgWvw67CO fcgGxbRqkiBwusvbzxP1/+u5dUUczi9mL4xcQXkK/uS0OBQ8uHnl5HWUK/B/ PygOxxrJl8UDUF6l0skoDle0XN1aIpEbBULSdkO9LMlR7AXyutHHLjG4SSNt 3NCPTPkyYSMKI9rM3eI/kYf8GnVEwThswvb2MPKYY4OCKIjtyPNQ/UPtM4vR i0KDoEpM2grynuS9eSIgpK7ZdJVDgrhH/2UpowhUuZsY7NRDZijjbCGDbKFy x3UD5IwTTh/JEL/IadN2gjDJpKTpFRlc/b66hlqgfLvzn7tk4IywiZx1RHmR pO5BMpzPOl/3OQB5ced3O2Fg6vPVdS+izvesGe0E1esvt8WUIJ/tc1bcCfbs 3W15H5BJD5c5dsJ73b1nZiuQpUxv9wjC+eLpy1cbkT1K1c8LQmX0uSe+I8gZ UywhAsT/I0ZTIbyShDtKGL/zQWaf39sXAsgNSzHVfNB8PcfnixDyMfW9OXwg nstIx7QbGRfq8eGDdv5PPPcUkWWYg7j4QH5B7fBDfeSR0r1mvPDr+a64VD/k ISeBEW6YuPNzlS4QuVHtYBM3zDk8s3UJRi5s9nvHDSThXTKKEcjsWWah3MCf QK6qSkD+q+kgzQ3GocIzvwqp73e3eHNBufNOA9nfyNK+I2RO+HS0vyB2Ajkp zIuFE+pEk3kWp5F1fXhWOODrD8Ghj0vU+9xzmjlg7pSg74ktUoTfTy7f4gBJ XYFsL2Hk5Qj6X+wQJ8m3pdQcmbaXtYINbM6Kvxg6jaw6lJHHBmJxyvrbbZB1 yHqpbFC0aRjr6IBs0E0JYIOOriDB7R7ILiXPNNmA4+6EimMYco11QiUrPPgJ TtvKkHuNtmTvACueRkZ1HHnMxT5yB4gY9uY4VCKfi+h33wGF7xdmS2qR7Y4p qe6AthipAIcOZEZPvZrtwKb5ML5kEpnVcdvENohNOl9rT5YmXN0xacAC168F XfETRU4UdFBhgbMmKcIJ4sisI9MCLCDL1HW9QRY5P+jUH2ag3DgqqbYP2eee aSQz0FqKhbOYIC/UDDczgTfPoH5JMLLGWPrFrWAzv7HUGoLcULzdfCtoN/Nl TIQjx12PPbQV2ENPru2Kpd7j0cm5FXKXKnKinlL3OzpUMMJYZyqLQzFyoKGX ACNYxZ1pYhlF1k6qGGAAwbdMAq7jyJxxOxsY4EdriTNlEpmxP7aEAc7tYKcJ WaD2J0qjGcA9okZ5k0YG/b6W2TUZIChwz+NZQeQ0EiWNHl660ZzrMkGeCYv2 3gJukbn5KhbIxn9uO24B+VfWGw8skcsdw05ugcLR4vgTdsgN6k1yW6Dc4SLl yyXk6t/7R+mg5XS7fFkYMvn2nTN0sKKdtZqKI7fkHDpFC35lqcHVlcjvM27o 0gJJKWnb72pq/qNyHy38JxyzS6keOX/YT5AWuFd99Kq/IgeeezJIA8pvDB6P zSDHPnW7TAPuXAvqiqKyhLPHlhJJMBc5VWUujsza8i2SBN60vw18pZBnhBsD SOA33W/3aQ+yZ1XHORJEUmrDzDWQAxOuKZIg2/9J9w1z5Iqq2ceb+NAvLZ+q UGo/UoPvH66V2pQuHYl8+vzq5gaedtqq8UE08pc3zSMb+Nn6yyKOj5DJzF+K NvDe/LQGugzq+zXDJzfwtpv/yEdx5LS1oth1vIrtA6V2gbq/aVJ4DU8/qCjQ aC+H7vcQvrWCVxkxBa+dQ575XuC2gg/aDo1LuSCTp82sVnDRoEcfQtyRv7xq 2LuCZ9asWmI3kbtfBU4u41knqhLfxiGvTP6xXcaz7U25k2qpebyN8RL+5q43 m7OcPPr+dQ1sFvAJjTNBdxWQwy61Gy7gsgva8xnKyJK/zx9awF85cHYO7ENm LSoUWcCzD71NtNJBttPu+z2PZ67OCBvZUvt9br7zeNIlN/m996l9euXMOTzU 3PE43SJ1/9wCzyyefqLPxmkF+f2tA8yzeLmeuXvtGvLYhXv/ZvC5g8fuR9Lu QZ9vt+mvGdxGXOYrByvy2Py5tzO40vKcg5gMcmx3wskZ/HtikO9Re+SK8R6Z aXxv37OXoY3IJAkhnwmcVd5lJa8FOU2dxWkCn7glf6y7HXkgeavJBJ4pWjYs 2Uu1lJLsBM7p2iFcN0Ld91795x/8rx/dcQaSAvp9XN5h9AfvYVat1OVDzj90 R2kcT5R68qbxOLKnboXoGL4wr5MVbEh1aQP7GH4Cn3u67wRyhdcozRjOYKof lWWCnBZybGAU9/ZbvehviWz3Jj95FDdpPiUp50ydpxUQGMVZvDkzooKQY2Xm hUfwWxX3Eo+XUu+p+Ws0jI/3V8StfqBa9+rhYdxibT72RTl1/vGK8jAuq2oV TldBnQ/cxTeMd+eI+5bVIM8cnx8awpUSwFqmAznwYPTNIXzk0qwQ8zT13t6z hYO4oYB5Vp2YIpoX99b4iScOy1dYiyMrKPIq/cSH3zB+m5BAZn1XJfET98PK WXfIIJO55Dl+4q+dRP1MFZE9fc+MD+BM+bMmfQeRjW/xJQ3gtdrRpCkL5ECR 0o0f+GH3Wmu2cGS79Iz3/fjf7t861RHI2K7OrH686AiL0vUoZNIY58N+XJzv JGN/DLUvAJf6cZbq3qLseOq+9+Wi/Xg339Q2LBN54N/JB32452fOCneg9j/F 3viGpwo6iDUsUve7/7rUg+9XlpF3WKY639y2B+/QW1BbWaH2F5qNe3DG6yHH xdapucOgcg/u2frKy49WCXnR/283joXMV8juoJo/PLwbH5y+c+aeJDK5pzT3 Ky726UW8kTUyiW6aowuPlauSbsOpjrU53o6fn9/SSpFWRu8tppe34A4Fc+Tw GORAC1XXRtwtyHRd/z4yFuJv1Yh7mxZ9ZXmITBJq0WvEwxa9o2PjqX3HBMlG PHff6lpCMjXXeTPSgK9WbnY9z6HOZ0yda8Bj21juVddSLR55oR5PyrjkEkJB rnCWt6rHM642HdGtp+b/vunX4++4Y//WN1H3MVvI1uN9Vhwu7Z3UvLJ6ug6X GOI7MjhEdc5dnzpcochXKPMX1cF1F+rw/Xe/rTqNUu9T4rOuww0kkvN/j1P3 LbcfrMO9XMlCs7NUa+F0dbifxu3Vwnmq140XKfjdbYMdVxep9xlPjlDwxLyM yJUVav5Kq46Cpwducf7wl/pe2loZBc856aTlt059jwN/Q8GLRGp2av77/77w VAqOz4uvbm5SbWJ7n4L/D/e+2aQ= "]]}, "Charting`Private`Tag$30145#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV03k4lfsWB/DNlgzxvtknVMZuZpFLHRTrjQwRZYqDs822yJBDmdJ4k66c SEJmEtU5cg335CQ/xGkbIjLFwW1zZEumbcvQ4/7OH+tZz+eP9az1fJ9nKfuG OwYI0mi0n3D93fMSfYX1/B+aftGV8goIIFG6a5GQq1IsRMrUffHHrk4vrhxQ SAY3emeeH/bPD26FEQb3gK01a+qDnYfuKG5Tyobq3MQfmNja8/6pW6wCiIn3 DnTH9tW9+OyqcAlYS+80dcHeXyZ6eH3jEThuZ4ydwj5nEh26qlgBSu851iew 76//2Uhffgr7um3umWGvh5wcXWRVQtlYVIIRdqHAaPKqRRUs2h6yOIh9vCtN hT/4H2B1WRxQxf6UZdXEO1sD566WGezFTvH/5rm8UQuSya4exN/OCc9YUHwB 7vufCq/4k+jJ1j+H6Ht/h6DQ2KSP2L73+jvmzF+CzZ/HdAexv0U8EZ5lNcLr Zbn+WuyL7ZO2KwkIHIzWBkqw30+4yPMsmsAu3PTrXeyYZ+IvlgabgZP5OCsI 2yb9L+GlwhZweD4o44QtF9PkvHj2NXjHuNcdxc5JqDGXEm+DYNVeF3Hs7SMf 1eYU2XBq1WyrxI9EQ6gh+vMnNqjEk7FJ2E/Kslpmq9rhNkNfKhjbPtLei2ve Cb7TMcXa2Jmi9ZnTrG64Hb3zyGNfnAez3+Mn2R6YH8iuvI59hmm3fzmhByJO B5p7YXtdLvUpbu0BR2+Zr+bYYT1SrCWLd3CgXYXNwJbKfSO4ONgLfnXvTkb6 kCi7WDA//GgfOFqmvbTCrr6RLNxY1AdLKy++7MWuYyXmz599D701+m3N3iRy 1zcw/rLRD2ncc4e2YRe1F5yfVRyGKi5/xYtJIl5WreZ4yjBU9Kql7sO2ZHVw eteG4aUbU2HyRxJ9pq+61Pd9gFe/j6v6Yxua2BsnJ43C++/shlw9SdRTuSmo Nj8Ox4TKGyTc8b0gypTQmQAd2ZKBxh9IdEQ1wzjJfwI+hVRPR2Cn8iqW495N ANtEdqnbjUQGaf0Bvk//B0wbqfKrriS63K5to+fFAZ5jb3a1M4k0VLW3Cu5z QP2VgLULdm+WGV2lkwOltVV/rDiRiO8qIjAnOAnXJc1UMrCNdXPWq0wm4fn+ Pj8t7Hb6DR0aYwo+1AXfL3EgkbTJiFR3218Q9CAnz8GeRG811QMa2magWU+h kG2F53fNdF1Q5kJU/PeyQtiCeaTDzHEutDYmaldbkkjtgo2pegYXxtr99NYs 8D8cFS/irHHhfmrorDB2Ojsl0L11FgY0wrJlzEl0gfPzopXnHOgcTRyTABIV iHdc32mxAHUPbGXtD5PI1CTe8wpzAQoLEuPrD5FoNEzr0PzFBXBzE1tTwQ5P sLs8+GQB3K1L6ev6JErLOnniFrkIsSNbjCw9El1XeSu5NbIISsf0K8q1ScSC d9mfI5dhpWvfc/l9JKIV8+tH/r0MlcFdwxHKJMoSkhttL10GZ98N1RYlEr1h BypUDCyD+uiMVoAiidSdN4sDjHnA5J2cyJcj0S8KnpVTAiug2fnm1SdpEgWn X3rVc5cPToezxwbFcD4rxeONFXzorBK8RGDnuL6hVTbzIYg0AktRnL8cw/wO jw8Po6R1q7aTSOtx+R8n3FaBH/3hZYIQiZydK9m7Z1ZBpjlQInyLQOkHRrmB Sl8h44rYW/YGgXKKr81uGXyFoe9mPX9cJ1DYlAan5tc1eGuXG202QaAJ5rBI E3sNUt0s1p3GCOQ0dEuna3IN/pV1NdZvlECGHdOxU3vW4eDpd6yEIQLRqx6R 0knrENeaL5TZg/d590eleG3Aniu3cwMRgZoYu7ONyG9w/Ly2XHI+gcSUb6iN G9IoHw9ZXoMzgUIVONYHzGmUDXLv++hIoJtu+d/LO9Io9SN5PgdPE0jw7m9W HiE0KtRme+dDWwKFt9Euj+XRKF6es6WnGYFmR13KuwUFKJO8RJk7ugTqzFLT QJ0CVIPt4PRDEQKlkh2aRd50qrD1zOu4WklUz7O/l5QmRMlbRbT4hUmiO+RA c+l/hajHrszOKwGSyHfEuZHeKUx52EUGec9IIP/bFDyKF6FsFOyk+qMk0FxD YkuKmhglH1LjYCsggdo0BqJYG2LUcH3bjV/RDlQVscNJ9oQEpRB7t7B/xw5U FB/CPehKUjEiRvSoKTF0rWDTgfd5J7U5dW2hvFYUKZtyxYvEGJRxZcpNwy4R ZJTJ0a6PY1DP9hgq0CNFEOeUUNdGIYOaSckN9T4tgmbDN5TSVhkU7+YzghIS QapRgTHOmruomdbVfyTzhdHkyoMz4g3SFH+te7ksbhuymQq+lH5elrrVej57 pIWO2n/J3/UbsZuSmt8sNVWgo/8DlshrEw== "]], Line[{{6.2781057659984025`, -2.383014585452856}, { 6.919710165050654, -2.029451847583738}, { 6.931735900596162, -2.0225772237325215`}, { 6.939936507521942, -2.0178892703218465`}}], Line[CompressedData[" 1:eJwd0Hc81W8bB/CDklE5RWSPM2wZmUlfSkaU8UNmVih7RUj2yEgRUqEQRUgq qy4rsjOKSqWU6FEhRCrPfffXeb1fn891Xff3iDr7mh1nJJFINgwkEv51CE/w SR7iJ7YG2q4c2E5qZtu35DT+Q4hgUK97IdywAnpfbX6KWYgQlr9ani0lLcJY qyuDjYwoMSfJPkLxnoP7Se0OIkuihKPvsssZnxlw2xg80d8vRuTHRdslsXwA PuGu0bVBMWJxtdq279t76FcTHJB4LkYoHlxdFnv+HlS8njyKeS1GNFp1B5Ju vAfm4R1XVKbFiF9STYWJmu+hpPCBRT4DhajuPGT7LmgCPu5Z6fbeTSGCfsox f556A7kWRq15qhSCZaibjanuDRj5FtZ3alCIpLIGRr3kN1B7Q79MVJtC9D44 cV5P5g3EsV6Of25MIRhdPlnJB40DdVSd2OtOIU5KrDF2sb8Gl4Dw+5vzKITG u2BvLdsxUFF8e1/yGoXwu+cdGak4BmwLxIODhRRijhw+PsM6BtX+zA+jbqL9 Urw/dOpH4bffhbrFGgqRy74vlYFvFLJ9SxvHe1BOW9bumHwOXV7DLRV/KMTs tudfl3OH4aqMSmsXiUqk5l4y6QkeBr/Z3NYpJipR19lN9JkNA7eXQ5sIG5XY OWH1znrLMDh7zrRncVOJpplX0dlxQ/D7xHpnxC4q8W1lUSU/fBB2uUv3GzlR CRbN7TdTeAbg7Qlh3zuuaP7n3ZyLo/2Q6sVJ3uqBLFUyzZjbDzP+a6YDPlSi GqpnhPj6oSii57lpBJV4uj7YoUXpA56Lnm8sc6jEyumED1/0e6Aj61jkwzwq QeQOXvXm6IGgHHPhnflUIu7022mLF90weHWP08tiKvH7hN0my+PdkFLK/sm2 hkpostoAe1IXrDeVzzr2oe9dErRhmuiESihIa3lGJZphpLCuohPsWjPlxEbQ +7LZuftPd0J9Z7jf5Cv0vZbuG3fu6ITAoUOLx6fR99WMsAmadMDnz/9bO8lE I0xUlCcyRtthYLsMe7A6jXCc5wrll2wFLW/vmSuaNMJP2UmrhqkVKjsrO1v3 0Yjpm/0PM962QHqEQhz5II1QM0/VoFxqAaMplT/lZjRC5KZUdebGFuiu1/7+ wRO5dzozewpAgyu2j9WXRhR+Fz9rXwxw26e9XD4A+chO+1JngGSKnkdkKI2Y UB7ua554DPppRu9542kE8elB6uKHR/DE0WrYJJ9GzCWeEKz+2wi7G3PvhlxH +Z9N6vrtjVC849X5/GIaEaVR1WF5rhHiuu2MZm/TCPJvksgITyPo7HZ+kviQ RjxTkFXVUGuA5k3eDx8/oxHN/D7dLOl10FgZc0WGiU5kyHd5BSTdB2YjC74c Zjoh8iK0ucDqPpjOiF9mYKMTjnVqhKb4ffhM6ct+QaYTxK5PKtBZC5yXeS5G CdEJ8ndL15EtteAZW5E0ok4norJo18Pu1MADkbOb9u1F+7oDUxVja4DhsWnC LQL5Ut3SIesayFlZjo3UQ/dvlpEKmWugzVv7rIQFnSCFxQQ+OH4X+I++CI7w oxPP1BS6Z3dXg9tS2eJUIJ0orP8WbU+uhrsXwwNNQ9C90/2JB8eqQK9PxJ8e SSea/XxmLQyqIFDH0+tZCsotxjJllSqhR4bkQi1F75eTE4yjVkA4g5RJ7xuU t6lk+AeVwdQB9jH6e3Tf3iDxi1YZmCTNHov+iO4pPeh8y1oGVI4qX5X/ob5o advu66XQK7D7fOEK+n8SzCJCn98EITWt/iBOcWSVu0HmJZAULmw5wC1OEFOv nSi0Elh4THorySdOkPaVDWn+LIZO3bavb0XEiahZDoGKq8XgZ66/xUAO5X2S w06zRdDqY2YkaID2aSbG2uXfAJkapZEQI+QOiZ96p25A9hKX3dARcUKE36/y /OEb4Bkx6ploifYtM6TKk24A1zm7lHkXlKtnThW6Xwe3ErfuJ5HoPYFf+ZIP FgLbeJi+Ty26R+dZDIy8Cioht7acf4g8KNXmcvAqOG0fG6pqQPvcnWg9W69C nb6y/Xwzys1/JPwuvAJu97/7B/WhvFw4qK87D1rSXa+ETSEblFQbKV2GWclM xyszqO+mO67FeBl2PmmhNc0i8xmIXR7MBZ81oeo/C6ifre0e458LAh4v26PW US6WR+d4kAOh2oe/JeyUIKL+ftc1M82G4vGIe6X8EgTprlOgAz0bBkLKQ58K IQt93/tk7RLQK1mY2GjITRfPFZRegmG+Np40BWTRslh/pksgt6iqnWmI/Ksk 6mN3Jny6KZpVEIH2+3bk0LMuwGzc+1WmKJQr5ova+l2ABefrxzxiUR55x27C 6AKQhEWlFc4hi6R9fMl8AfhyRFpbc5A9nmcGRWaASaLw3KcaNJ9U8df0ZzpY HX9nYfgAmWCiUuvTwWF/QWNlPXL8a6Xo8HTwXBdKDGlGHt/w5QVDOiSECAmx 9iO3mxF9XGnQ5C5oJDOD7LGbY8QsBdp039zNmEVus3JtFkiBbso1nqXvyE5h DtTP52D0ncDko2Xkxysjh8+cgwUrgbAjGyQJ0tl9HhxVySChz18WIIxsylPy n3gSZEnwbqi3QN5sXyXgGg92DvTSyaPIkTNJLXvjgZqlZLjVDtmJ+uMeTzzU rhtnuDgjG7QMR/bGwciLGIGtvsgvyzLy1OOAM352t0sS8m1zIXvRWHjVsDqa loLs8jg/fT0Gbswxh9elI19naWF6GwOKdqItWy4hC7IXPrgSA2ZKlsZ115EL bBh38cXAxfdwfEsj8vhvszmxaLDh6WNRe4zMf7+dd2M0iBm/KnduQTYJ2Bv5 OQpq6hbnH3Yib9itt1wRBUPnJSOdR5AXj227pBEF27Qysx9+Rc5QjNdrjoSM PLdOJxEpgvSUc+D1jXAIORUTGEFBdr6jwh0cDg5m+cI5dORXrWaleuEgw/Yi pFcGWcV/tPtrGHSd1pVQVUcOotxj0goDRmtq8mYz5Ku7ym5+DYVgng+GD2OR s9e3GMWfArsff5YHE5ADTKL5nU7BgQHeotlk5LdC47J7T8H2RNM10QxkzUc0 3uVgqFxuLk+9irzy4ejayWCYfl6w2fk+snxVYIRjENhk2fdv/owstGbCHxIA AvfY+D2/IDuoKE1aBcC7wYfuXV+RqzWFp9UCwJVjO0PCIvLFE4yla/7gc65D aZ1BmiBViNd/ifWHmKhdl+cFkKdPvuMv8INbXgyuL8yQNSfPvln1Bq+Uyurd ltib/o499Qa527Z/Llojq50rUcj1hprP97OPOCKzeFv/VPWGJueTXU+9kQuJ HRDuBc+ODss1JiFzBSZe4fSElQMlqwWPkZ95jjWc9YCIxoLY9hZkk79rF2w9 gKSYt2WmHblM1rdU1QM2CZ8XVexBrvvrlDLnDtyroQbto8g7NaKkjruD0h2j y9Nz2I/WHa3dwGfHopoCRQbZmLnhpCsspHxrtaAjZ6zJxRq7QjDjjFGYJHJZ tPkZeVeI+P7GsW0X8tFEQaafLpDS1ZlkoYnMEvvIMMEFys5cGTttgRz68lnE HWeY/KQT2pqI7NiWSxNwAp2C/htSKcgT+uyejE5QeNSm72I68nTUyptpR3Do 8RdzuYRMYh01fOAIr6oLe5mKkPXVxlXMHWEo/K+I7mPkav3YnVLHoHVbQ1fn IjLZve2zlx2I9ugu7lpBJhYSU/fbQVTcoFDuGr4vvy+Uzw60fk4HejDKEiSR W3ZiXbbQMM4jxEpGJrcG1UjaQk1pcIChNLLJhheHf1rDjb0K/H1OyM/+KnC3 WEHrYbbYNVfkQo/E0etW8OHY5BdJD+SoiKCuGCugxFxqSPBB9mN5tFfXCoo7 Vq2JcOSM8GaHXksoOdKaey8LmdgVqDFpAWVO5tx5nbhffVtV4T94GiAT+bQb 7/Ob8OP5D6ZjN04t9yHLb+Ea/GMOEjcf3jcfwffl3Tf2mMOtL/wWW94jO7af VnE3h9uBHzOjfiE3zwxF3zSDO/HB29xl5dD+faTt+0xhVtM+Jl4ee9ZeQMoU ZBYP/ChSQs64s3pghyncduZ6PqGOTPhQ5v5nAmX77uXaHEQu5B0vyzOB4tU5 4cPHcE6M/Ph1BPK8veSULyBP/IypqzSGV9T/CsyzcH5/vjTFGHjH95ADcpBJ ZUVPPYwh15B9ofIa7ptnXqUYwyXx2/clbiM7ipMTrhhBxvvPmgJt2C1NAlmH INHC5RDTEu73czncNIAbR8btjq9gu330SDCAJgMLn841vF9buMjNABb26l1I YdyF8u2ZxeIGYEeXHuUkIzf/1zhUrg+KPxecqdLIhTx7c5v04G1uTJiuE85n +zr+6MLqxbWUUlfkKI1tspO6wJUWdI3VA5n4dq/+qS4YRLs19/ngeb+dulm6 UHvCkNkyAs/rRQrK6sI5je0X3XKQHfdoFhw/AMrj128l9uE8j2w6pwNkOY+V qmfYjAwpr3Vg9qyc3tgwNo/4RIcOFFMaP0q8wvef+L6+pgNcniPC3VP43kDM NmMd+BXBdIiZJI/66Zutq7XhJbtKiz4vsuPjReNkAjp2X54e50MmlT4vCiGg 1v43h78AskjNAbIbARlVrQ6XhXG+TV9mPwH65kd+z9DwPrfcV7/3QV2eh2qK IjLhG/ZtXgtyJa/c6TuEc9apW780YfHHwZJYYzyfVLH2UhOOPF64qn4E9/uS T9drArO5YWqJGe6fDV4J1YTgiNWTZ6xxfqVkbXUPmA1YSci6Y1ekvmHaA5uD uYpSY7CVKqyU1cFjX3OeThy2YVQVrzq0sXpdXInH90bLpP+qQVh+W7RrMrYu X0anGsx0BjhqZuB704lMdmrQwTcoOHsNz59ndUtRhbPNabmH6rFzrj9kVIEv b5qzVhvwvBJr0f+UwXLtR0ZpE87T/MpHlEFGxSaZqRk79dL2UmUYK6eHNXbg vsMtZWNlUMwBW+kRbA278vzdMOU9L8T+HTvTUddCCUxTqPz1c9h/BmO1laCp zIrHfQHvGwp5JasEmZOPONqWkKMERgeYlYCwPkcK/437v2RG6xUh7wDlwxdW BfQ9TrJ7qIpgzG9R0k1Fjjr7OoxVAXI/yjXb0pFJsUeLV+Xh4x2W17PiONc5 +25GHiKIJjKHNHaYz7lueag4TokwV8AusqlOlQe26nmz8b3Y8ZslueSh80A6 6Zsl3jfQE+AgB9u3evCfPYrz42bjOnLgMKqtQrbBueJXF3E5WD6x5Kloj83Q 2TsnC/TzdqOnXHDfb5YULwtxL6Uq131xbvdgqEYGtH06bbcl43wth0qRhl9j Mwfbz2HbPGJilYba/ZsVQ1KxF7gZvksBndeU5c15PO/XbtEoBZvbX9WWZWO3 ljhbSMEY77ctRDH2doXpdEnwe8LV7APYPP1XuCVASl61XLQF71tR+bkuDpN5 1tkjrdgH5b1mxMHSL99LowP3PxrfaBIHTX4JXuY+nItl7XEVBxb/PQHXXuH8 2KeNdXQoEHCm9i5hP9so4k8DDSVpOeef2Hv+PHKgwYjBourKCvapjz5GNGAJ SThE/Y0dJ84qQQO/wdsBEYyKyDR2wQkqEAk/mmU4sCM2VJlT4cP3OPs0CWz/ /M96FIhgPuxOkcLe8qRelQLcgjz+9dLY3ZpXxSlgaHgr7pMcNtvwhU0UqCnu K9+rjF2XuPepGMRac//6qo39tzfBSAyobaXZh22xjXNcHEWhX2aleNwOe/qQ q5kohGbr3zvpgB2THnBAFHpOzAwkOGEnRj2UEIUAsjQruGNv9ns/LwJgXxm+ Kwi7+kxZggjYrNQ6ktOwJ8y0AoVhg/NG3/x07JOdJ22EobLH4oxMBnZQb6W2 MDAULF/Wz8QeFz5DFoYyXbXhqMvYdrzyVUKwdLFRd77kn2VezglChmyr1NBj 7JG3qXECUKZmyxrTjF2mc9VLAGD/4meF1n//52DbfwLwzZpecuHJv3t/bWgC cCjhnLBpL3Zv9M1OfmB+Z8b17CW2JVsemR/CMyb/9C1iN7ip3+MFtx8bBruk lJAZfVaVecDh9oF+O5l/Zkqm8oClU1zPd1lsLVsJTh44OMDUsUMBm5kze44b 6OWMjU6q2C+GpCu44ZMzqWR1PzbdW5HODa5Da6GS9tgmj7RoO8D57oJI8nns w3UUI07wijH/bXgBW2M+TZMTgs1rRzdnYssc2STLCUlLwekZ2dihyuJbOaFS fXUt5xr22wHewe2w2rL+4mb5v/eUNFpvh4yhzWntndiRHtHB2yCvyNsjoQu7 ObPafRsUBfXv1+/5996pWett8IA741dPP7ZQd6rWNhi34fQYfo49+92dZRuI T/Lu/zCJ/dTwbD4Z5GvDhIo/YVfsC7tABo3416vHP2P3hkXHkcFI/Fr1zBfs hrTak2QI8BQRmp/H/lhVrkqGCM3o1Zof2B3HNkmTIX7Lh5GgJeys//kIkSG3 qihlZQWbxcVpIxluRG1wb/j17/6JsXkOKDc9rhPxG1vAYeNLDqgV6xDU+vtv PtmgmQMe/6Cvrq9jjwwVl3LA/wFiwZNB "]]}, "Charting`Private`Tag$30145#5"], {}}, {{}, {}, {}, {}, {}, {}, {}}}, \ {}, {}}, {DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"E", None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, { Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.770789570215705*^9, 3.770789651007647*^9}, 3.77078969071492*^9, 3.770789808659437*^9, 3.770789861169787*^9}, CellLabel-> "Out[147]=",ExpressionUUID->"2d60aed5-45ac-4352-94b2-563ed063b894"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["Kohn-Sham density-functional theory", "Section", CellChangeTimes->{{3.7708291545263443`*^9, 3.770829159881905*^9}, { 3.770909865543729*^9, 3.770909869725779*^9}, 3.7709102322360973`*^9},ExpressionUUID->"9f4be37b-e6e0-4921-a71b-\ a9f742d754e3"], Cell[CellGroupData[{ Cell["Generalities", "Subsection", CellChangeTimes->{{3.771000835887121*^9, 3.771000838424327*^9}},ExpressionUUID->"c4a8ead7-0b01-451c-930e-\ 3ebdda71579a"], Cell[TextData[StyleBox["Euler equation", FontWeight->"Bold"]], "Text", CellChangeTimes->{{3.770910344408897*^9, 3.7709103783131723`*^9}},ExpressionUUID->"43ee682f-30bb-4b4e-8cf5-\ 95bc6e56dbf4"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ FractionBox[ RowBox[{"\[DifferentialD]", RowBox[{"F", "[", SubscriptBox["n", "1"], "]"}]}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]], "-", FractionBox["\[CapitalDelta]v", "2"]}], "\[Equal]", "0"}], "\t", "\[Implies]", "\t", RowBox[{ RowBox[{ SubscriptBox["n", "1"], "[", "\[CapitalDelta]v", "]"}], "\t", "\[Implies]", "\t", RowBox[{ RowBox[{"E", "[", "\[CapitalDelta]v", "]"}], "\[Equal]", RowBox[{ RowBox[{"F", "[", RowBox[{ SubscriptBox["n", "1"], ",", "\[CapitalDelta]v"}], "]"}], "+", FractionBox[ RowBox[{"\[CapitalDelta]v", " ", "\[CapitalDelta]n"}], "2"]}]}]}]}]], "Input", CellChangeTimes->{{3.7709103494121647`*^9, 3.770910419006526*^9}, { 3.770910639089604*^9, 3.7709106433917513`*^9}},ExpressionUUID->"d95c5275-4764-4c06-bd04-\ 5f4d569aa907"], Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["U", "H"], "[", "\[CapitalDelta]n", "]"}], "\[Equal]", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SubsuperscriptBox["n", "2", "2"]}], ")"}], "\t", RowBox[{ SubscriptBox["E", "x"], "[", "\[CapitalDelta]n", "]"}]}], "\[Equal]", RowBox[{ RowBox[{"-", FractionBox["U", "4"]}], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SubsuperscriptBox["n", "2", "2"]}], ")"}], "\t", RowBox[{ SubscriptBox["E", "Hx"], "[", "\[CapitalDelta]n", "]"}]}], "\[Equal]", RowBox[{ FractionBox["U", "4"], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SubsuperscriptBox["n", "2", "2"]}], ")"}]}], "\[Equal]", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}]}]], "Input", CellChangeTimes->{{3.770910470096383*^9, 3.770910547262266*^9}, 3.770910640271102*^9},ExpressionUUID->"c21529df-2611-4475-8d6d-\ 6fdd48f339e9"], Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["T", "s"], "[", SubscriptBox["n", "1"], "]"}], "\[Equal]", RowBox[{ RowBox[{"-", "2"}], "t", " ", SqrtBox[ RowBox[{ SubscriptBox["n", "1"], SubscriptBox["n", "2"]}]], "\t", RowBox[{ SubscriptBox["E", "c"], "[", SubscriptBox["n", "1"], "]"}]}], "\[Equal]", RowBox[{ RowBox[{"F", "[", SubscriptBox["n", "1"], "]"}], "-", RowBox[{ SubscriptBox["T", "s"], "[", SubscriptBox["n", "1"], "]"}], "-", RowBox[{ SubscriptBox["E", "Hx"], "[", SubscriptBox["n", "1"], "]"}]}]}]], "Input", CellChangeTimes->{{3.7709105621090813`*^9, 3.770910601506102*^9}, { 3.770910635098526*^9, 3.770910636137825*^9}},ExpressionUUID->"5ebe9b84-c77f-456e-be78-\ 14624dd0d391"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ SubscriptBox["\[CapitalDelta]v", "s"], "[", "\[CapitalDelta]n", "]"}], "\[Equal]", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", FractionBox["\[CapitalDelta]n", "2"]}], "+", RowBox[{ RowBox[{ SubscriptBox["\[CapitalDelta]v", "c"], "[", "\[CapitalDelta]n", "]"}], "\t", RowBox[{ SubscriptBox["\[CapitalDelta]v", "c"], "[", SubscriptBox["n", "1"], "]"}]}]}]}], "=", RowBox[{ RowBox[{"-", "2"}], FractionBox[ RowBox[{"\[DifferentialD]", RowBox[{ SubscriptBox["E", "c"], "[", SubscriptBox["n", "1"], "]"}]}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]]}]}]], "Input", CellChangeTimes->{{3.770910619599556*^9, 3.7709106851962748`*^9}},ExpressionUUID->"4341c551-840d-4b3a-90da-\ 2f3ebcada409"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ FractionBox[ RowBox[{"\[DifferentialD]", RowBox[{"F", "[", SubscriptBox["n", "1"], "]"}]}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]], "-", FractionBox["\[CapitalDelta]v", "2"]}], "\[Equal]", "0"}], "\t", "\[Implies]", "\t", RowBox[{ RowBox[{"F", "[", SubscriptBox["n", "1"], "]"}], "\[Equal]", RowBox[{ FractionBox["1", "2"], RowBox[{"\[Integral]", RowBox[{ RowBox[{"\[CapitalDelta]v", "[", SubscriptBox["n", "1"], "]"}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]}]}]}]}]}]], "Input", CellChangeTimes->{{3.770910748093687*^9, 3.770910769704262*^9}},ExpressionUUID->"c9ad7c3d-87e2-4c67-8ebd-\ e78ec6a0e597"] }, Closed]], Cell[CellGroupData[{ Cell["Exact functional via Levy-Lieb constraint search ", "Subsection", CellChangeTimes->{{3.771000795146031*^9, 3.771000825350608*^9}},ExpressionUUID->"b9942fac-b310-40fc-a252-\ 5af154a937f3"], Cell[BoxData[ RowBox[{ RowBox[{"\[Epsilon]", "\[Equal]", FractionBox["\[CapitalEpsilon]", RowBox[{"2", "t"}]]}], " ", ";", "\t", RowBox[{"u", "\[Equal]", FractionBox["U", RowBox[{"2", "t"}]]}], ";", "\t", RowBox[{"\[Nu]", "\[Equal]", FractionBox["\[CapitalDelta]v", RowBox[{"2", "t"}]]}]}]], "Input", CellChangeTimes->{{3.769749264184759*^9, 3.7697492744393377`*^9}, { 3.769749388966833*^9, 3.76974942347818*^9}, {3.769749480470373*^9, 3.76974953147082*^9}, {3.76974991852349*^9, 3.769749927723466*^9}},ExpressionUUID->"e5e46080-a532-4fe1-9b12-\ 79ad30ce7b76"], Cell[BoxData[ RowBox[{ RowBox[{"\[Alpha]", "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"1", "-", FractionBox["u", "\[Epsilon]"]}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["\[Beta]", "1"], "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"u", "-", "\[Epsilon]", "+", "\[Nu]"}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["\[Beta]", "2"], "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"u", "-", "\[Epsilon]", "-", "\[Nu]"}], ")"}]}]}], ";"}]], "Input", CellChangeTimes->{{3.769856907491734*^9, 3.769856957206769*^9}},ExpressionUUID->"b6225627-e2b5-4862-8fee-\ a5ea25b96f89"], Cell[BoxData[ RowBox[{ RowBox[{"\[Rho]", "\[Equal]", FractionBox[ RowBox[{"Abs", "[", "\[CapitalDelta]n", "]"}], "2"]}], ";", "\t", RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"4", SuperscriptBox["c", "2"], "\[Nu]", RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}]}]}], ";", "\t", RowBox[{ SuperscriptBox["c", RowBox[{"-", "2"}]], "\[Equal]", RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Nu]", "2"], "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Epsilon]", RowBox[{"-", "2"}]]}], ")"}]}]}], ")"}]}]}]}]], "Input", CellChangeTimes->{{3.7697492821883307`*^9, 3.76974929981513*^9}, { 3.769749592277866*^9, 3.769749608405692*^9}, {3.769842070462558*^9, 3.769842073438758*^9}},ExpressionUUID->"f9e3bdb2-6a80-4fe1-a0b9-\ bb1078d87028"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"\[LeftBracketingBar]", "\[Psi]"}], "\[RightAngleBracket]"}], "\[Equal]", RowBox[{"\[Alpha]", RowBox[{"(", RowBox[{"\[LeftBracketingBar]", "12"}]}]}]}], "\[RightAngleBracket]"}], "+", RowBox[{"\[LeftBracketingBar]", "21"}]}], "\[RightAngleBracket]"}], ")"}], "+", RowBox[{ SubscriptBox["\[Beta]", "1"], RowBox[{"\[LeftBracketingBar]", "11"}]}]}], "\[RightAngleBracket]"}], "+", RowBox[{ SubscriptBox["\[Beta]", "2"], RowBox[{"\[LeftBracketingBar]", "22"}]}]}], "\[RightAngleBracket]"}], ";", "\t", RowBox[{ RowBox[{ RowBox[{"2", SuperscriptBox["\[Alpha]", "2"]}], "+", SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "\[Equal]", "1"}]}]], "Input", CellChangeTimes->{{3.769841802182992*^9, 3.769841846847291*^9}, { 3.7698420472232018`*^9, 3.76984206210172*^9}},ExpressionUUID->"b1a83f2d-55e0-4f5e-b2de-\ c28734917f10"], Cell[BoxData[ RowBox[{ RowBox[{"T", "\[Equal]", RowBox[{ RowBox[{"-", "4"}], "t", " ", "\[Alpha]", RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", SubscriptBox["\[Beta]", "2"]}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["V", "ee"], "\[Equal]", RowBox[{"U", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], ";", "\t", RowBox[{"V", "\[Equal]", RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], ";", "\t", RowBox[{"\[CapitalEpsilon]", "\[Equal]", RowBox[{"T", "+", SubscriptBox["V", "ee"], "+", "V"}]}], ";"}]], "Input", CellChangeTimes->{{3.76984184954419*^9, 3.7698419288661757`*^9}, { 3.769842024390863*^9, 3.7698420690548353`*^9}},ExpressionUUID->"47790058-3d54-4086-948d-\ a404883e0cf2"], Cell[BoxData[ RowBox[{"\[CapitalEpsilon]", "\[Equal]", RowBox[{ UnderscriptBox["Min", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}]], RowBox[{"\[CapitalEpsilon]", "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.769842098165579*^9, 3.7698421461091003`*^9}, { 3.7698424077719917`*^9, 3.769842410283205*^9}},ExpressionUUID->"96037672-4cc5-4d58-b59c-\ d498cb67eeee"], Cell[BoxData[ RowBox[{ RowBox[{"F", "[", "\[CapitalDelta]n", "]"}], "=", RowBox[{ UnderscriptBox["Min", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}]], RowBox[{"(", RowBox[{ RowBox[{"T", "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "]"}], "+", RowBox[{ SubscriptBox["V", "ee"], "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "]"}]}], ")"}]}]}]], "Input", CellChangeTimes->{{3.769842225590481*^9, 3.769842252260337*^9}},ExpressionUUID->"e9207388-c781-435c-a3e7-\ d2dd7c1af9e6"], Cell[BoxData[ FrameBox[ RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"2", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], ";", "\t", RowBox[{ RowBox[{ RowBox[{"2", SuperscriptBox["\[Alpha]", "2"]}], "+", SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "\[Equal]", "1"}]}]]], "Input",\ CellChangeTimes->{{3.7698422009081163`*^9, 3.769842212245055*^9}, { 3.769842404899975*^9, 3.769842420122011*^9}},ExpressionUUID->"21121967-f922-420a-8f58-\ d15289c6a536"], Cell[BoxData[ RowBox[{ RowBox[{"F", "[", "\[CapitalDelta]n", "]"}], "=", RowBox[{ UnderscriptBox["Min", RowBox[{ RowBox[{ SuperscriptBox["\[Alpha]", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "=", RowBox[{ FractionBox["1", "2"], RowBox[{"(", RowBox[{"1", "+", FractionBox[ RowBox[{ "\[LeftBracketingBar]", "\[CapitalDelta]n", "\[RightBracketingBar]"}], "2"]}], ")"}]}]}]], RowBox[{"(", RowBox[{ RowBox[{"T", "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "2"], ",", "\[CapitalDelta]n"}], "]"}], "+", RowBox[{ SubscriptBox["V", "ee"], "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "2"], ",", "\[CapitalDelta]n"}], "]"}]}], ")"}]}]}]], "Input", CellChangeTimes->{{3.769842225590481*^9, 3.769842252260337*^9}, { 3.771209048467911*^9, 3.771209083201171*^9}, 3.771209123094339*^9},ExpressionUUID->"271e0136-a935-404f-8672-\ a7b2270cd2af"], Cell[BoxData[ RowBox[{ RowBox[{"g", "\[Equal]", RowBox[{"2", "\[Alpha]", SuperscriptBox[ RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", "\[Beta]"}], ")"}], "2"], "\t", "\[Rho]"}]}], "=", FractionBox[ RowBox[{ "\[LeftBracketingBar]", "\[CapitalDelta]n", "\[RightBracketingBar]"}], "2"]}]], "Input", CellChangeTimes->{{3.771209100643957*^9, 3.771209119919911*^9}},ExpressionUUID->"01c7c3a6-1c6d-4d4a-9b48-\ 30f99a9cf3db"], Cell[BoxData[ RowBox[{ RowBox[{"F", "[", "\[Rho]", "]"}], "\[Equal]", RowBox[{ UnderscriptBox["Min", "g"], " ", RowBox[{"f", "[", RowBox[{"\[Rho]", ",", "g"}], "]"}], "\t", RowBox[{"f", "[", RowBox[{"\[Rho]", ",", "g"}], "]"}]}], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g"}], "+", RowBox[{"U", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}]}]], "Input", CellChangeTimes->{{3.771209093404483*^9, 3.7712090952441273`*^9}, { 3.7712091298137293`*^9, 3.771209168744396*^9}},ExpressionUUID->"cd4179ae-9f5c-4029-baf1-\ 3a429e44cc0b"], Cell[CellGroupData[{ Cell["Exact functional", "Subsubsection", CellChangeTimes->{{3.771208676637597*^9, 3.7712086788630247`*^9}},ExpressionUUID->"d5ff460b-3d7e-463e-8e87-\ adcf8aa3c4df"], Cell["The exact KS functional is defined as such", "Text", CellChangeTimes->{{3.770913783232986*^9, 3.7709137922481413`*^9}},ExpressionUUID->"30f99f9e-c2ef-4d85-99b7-\ 051a6f1d4ed0"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"gmin", "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]n_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"\[Rho]", ",", "g"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"\[Rho]", "=", FractionBox[ RowBox[{"Abs", "[", "\[CapitalDelta]n", "]"}], "2"]}], ";", "\t", RowBox[{"Return", "[", RowBox[{"g", "/.", RowBox[{ RowBox[{"N", "[", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g"}], "+", RowBox[{"U", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}], ",", "g"}], "]"}], ",", "15"}], "]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], "]"}], ";"}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", InitializationCell->True, CellChangeTimes->{{3.770910938237562*^9, 3.770910963904215*^9}, { 3.770911644837036*^9, 3.770911666838966*^9}, {3.7709117649469757`*^9, 3.770911826117735*^9}, {3.770911937685664*^9, 3.770912059132182*^9}, { 3.770912196070654*^9, 3.77091219947856*^9}, {3.770913662599965*^9, 3.770913674800186*^9}, {3.7709143116453238`*^9, 3.770914312001725*^9}, { 3.7713450875894337`*^9, 3.7713451041886473`*^9}}, CellLabel->"In[35]:=",ExpressionUUID->"4af9f5f0-e6ae-4f5e-b1cf-86451b81b862"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"F", "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]n_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"\[Rho]", ",", "g"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"\[Rho]", "=", FractionBox[ RowBox[{"Abs", "[", "\[CapitalDelta]n", "]"}], "2"]}], ";", "\t", RowBox[{"Return", "[", RowBox[{ RowBox[{"N", "[", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g"}], "+", RowBox[{"U", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}], ",", "g"}], "]"}], ",", "15"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "]"}], ";"}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", InitializationCell->True, CellChangeTimes->{{3.770910938237562*^9, 3.770910963904215*^9}, { 3.770911644837036*^9, 3.770911666838966*^9}, {3.7709117649469757`*^9, 3.770911826117735*^9}, {3.770911937685664*^9, 3.770912059132182*^9}, { 3.770912196070654*^9, 3.77091219947856*^9}, {3.770913662599965*^9, 3.770913674800186*^9}, {3.7709143116453238`*^9, 3.770914312001725*^9}}, CellLabel->"In[36]:=",ExpressionUUID->"b2cb20b3-cf66-43df-b9e4-85c66b517b43"], Cell["\<\ We will also need its derivatives wrt \[CapitalDelta]n in order to derive the \ potential \[CapitalDelta]v\ \>", "Text", CellChangeTimes->{{3.7710032954869633`*^9, 3.7710033166357307`*^9}},ExpressionUUID->"1aac2966-d99c-46a8-8598-\ d9e0ccb22d52"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"dFd\[CapitalDelta]n", "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]n_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"\[Rho]", ",", "g0"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"\[Rho]", "=", FractionBox[ RowBox[{"Abs", "[", "\[CapitalDelta]n", "]"}], "2"]}], ";", "\t", RowBox[{"g0", "=", RowBox[{ RowBox[{"N", "[", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g"}], "+", RowBox[{"U", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}], ",", "g"}], "]"}], ",", "15"}], "]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", RowBox[{ RowBox[{ FractionBox["1", "2"], RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g0"}], "+", RowBox[{"U", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g0", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g0", "2"], "-", SuperscriptBox["r", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["r", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g0", "2"], "+", SuperscriptBox["r", "2"]}], ")"}]}]]}]}], ",", "r"}], "]"}]}], "/.", RowBox[{"r", "\[Rule]", FractionBox["\[CapitalDelta]n", "2"]}]}], "]"}], ";"}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", InitializationCell->True, CellChangeTimes->{{3.770910938237562*^9, 3.770910963904215*^9}, { 3.770911644837036*^9, 3.770911666838966*^9}, {3.7709117649469757`*^9, 3.770911826117735*^9}, {3.770911937685664*^9, 3.770912059132182*^9}, { 3.770912196070654*^9, 3.77091219947856*^9}, {3.770913662599965*^9, 3.770913674800186*^9}, {3.7709143116453238`*^9, 3.770914312001725*^9}, { 3.77100259437897*^9, 3.771002683055785*^9}, {3.771002808146741*^9, 3.7710028941956053`*^9}, {3.771003007313732*^9, 3.771003007585121*^9}, { 3.772527053920323*^9, 3.772527062319755*^9}, {3.772527224618574*^9, 3.772527226128652*^9}, {3.77252725642633*^9, 3.7725272995058193`*^9}}, CellLabel->"In[37]:=",ExpressionUUID->"94db21b7-fcd6-4e0a-b9a5-6d344f8611f3"], Cell["How does the exact functional looks like?", "Text", CellChangeTimes->{{3.770829318600712*^9, 3.7708293305408382`*^9}, { 3.771002558778617*^9, 3.771002559419485*^9}, {3.7725260660099983`*^9, 3.772526066814123*^9}, {3.772528461552346*^9, 3.77252846223978*^9}},ExpressionUUID->"04bacc0e-7ab7-4450-b4ac-\ b0b10e0f7e8c"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"F", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{ FractionBox["2", "10"], ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "10"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Center", ",", "Top"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.7708293389097977`*^9, 3.770829435798418*^9}, { 3.7708294677529383`*^9, 3.770829470055784*^9}, {3.7708866341259117`*^9, 3.770886707252499*^9}, {3.770886896058104*^9, 3.770886978298769*^9}, { 3.770887032916217*^9, 3.77088703556113*^9}, {3.770887183627761*^9, 3.7708871840273848`*^9}, {3.7708872511860847`*^9, 3.770887283452026*^9}, { 3.77091210571548*^9, 3.770912182558971*^9}, {3.7709122738489637`*^9, 3.7709122938885403`*^9}, {3.770913739931123*^9, 3.770913742345282*^9}, { 3.770914841583518*^9, 3.770914845144764*^9}}, CellLabel->"In[6]:=",ExpressionUUID->"268b8e5a-eb2a-40c1-af3d-47e7345ef184"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVkms4lAkbgBkSQsvW1pBQE+3uJCEqjadCu6VITiVJRorty7BCJMsihxDG KTk2hHKoDDromcyQnHLaT0po0piZ942sU31b2b4f93X/vq/r1vPyP3yKIiMj c+Eb//f+U+JenuSUpc8Th2c7rz6DY8pZow9lt0FZgpasoagV5K00WaNUa6g6 3WQvo9kCH+KFjy1z94N/vslBvUgBmBTmXL9HdYJFbe8Z6Q4+yMwGq0GaG7SF bqkeOdgM42toUSH6HsAU/t2d0P4E/I/13W5kMeEoS3fB6REPbLsG7+ZTvUH6 0dHlUgYPTtGYRdboA7xJvsEMhQe0K9qlizq+4Nqy77UZBeHzfmb2Sf1zIJBO f01Sb4LQpk2qXncDYXrnvl6NzAfg6r3QlE4NAnpiaXVUwX0QWGk28K8HQ43q Srq5WiNY5XS5e3WFwoxWWscXfj0YrWfUzupcgPBn3Fy3jHpI3MxX7ZEPg3Ty 6aexlfVgnlITpll0ET5l/o+uUF4HisLoEhf9S2BSyVLS6LsH9SeH0r53j4aW 2Fg764Ja+MHsslUyNQaW1lnsmR6sgjZ7K+MwjVhIbkpYiKDeBnbhat6GY7Fg yz9rvzH7FhSF0O4kNsaB90qehfe2ChAucOb2ayXArLXWLzE7SqE1kO+QEJQA zzuzXWRrOJBSpbHRQT8FHp+PXrcar0HRSvu4RCob0mTsW88bOmBjVqv8Bk82 XOSye0+ImRjelS1wecCGk8eNmXWGAegSO0ZZfywTgtYnrro8FoGhct4dZ8oz QUg1rfQko1BlLiDy4fUsiPNrbfZ0T8KsWkpW0PocWE3kpa94z0bZYaOY9rs5 oHrJvysxMxtDB9ihpE4uFEXnxxTn5aJXT9YtyfJrYLFJg3oa89Eh46WfnX4B +JTvslstuomt96+5LbUpgRfx8sLprXcxSvGeQQKVA6v01IvXd3KR4nrgRt0m Dtio+dKHPnDxxb0jKQ9+54D3ox2XLVn12BfrL3n1lAN8ZS+1FYoNSJOj3zIM LoVVjG6ffstGbP3CMRzoK4Pw+fiNNfkPUGUma6vOlQoYrmqqiNJHzHkdZsX9 Wg0XXdft7Ofzcfeao5wR5xrYM7mY+IecAKVu5ksUq2rgV687Z/v2CHAteYFZ takW9v52M86XJ0B/X7MNMsO1cPmEmXdiQwtqeNeUl267C/LakfZlWU/xyNHi mg/TdZDYsf+Qt04HTr1yUi7R5ILRkdzBrYc7MM5D8ZSjFRfkwpqc+2M68B7T X7OezYUZUeyZIEkHqp1jxIabf/tu3rfxeG0ntkQPuSlENAAzzuGVxdZuNL6t rrBG8QE0eUSWUVN7cNlilPsvaxG2T2srme/qxxxfVw/6XgS9ZV3PbJ36kTZA 91Q/h5Bk3Lj28Jl+tKwYZL5qQijoS5eYXO3H+xVZ3AZDHhQWlNTajfbje0fy kW03D6rOG16aCxtA5/Lsjt9Vm2GLjZFjQflfuMFhUsxPEkByXdii25tBZFTW f+iwboNXAaaB/7x4iSHd2yFn9hlg/Dttgy3DuKpOfURW9jnQclwLgxtHsV5o 1fl8Zx8cirZ3skh9g81++VpHyQHYXCZRfqzyFuf0Gcur/jMI8gy9NwMHx5Hy 6dZ3WhtewjvRu8N18e9QqXlWYVXxMFQELNH4KVmEZoue9Y7VwxAsmn+dmS7C zhjT7tafRkG9cOopI3ICda4Snyomx2DwDXz8+bQYiYXRkb+MhHC9gMlo+1GC HOnDdrWUt7DyJK3fWSRBNe2bU+Pj47BvieX98QQpXvHl+hTRRFDIXkqR+Y7A +V23xs9ETsD2uTCF5SkEPuIQeSExE5Bms5HBSyUwWpHuGJcwAcuU6ExWGoFq Pbef3MiYAF3FioguNoH6J6oLRm5OwBu/9KmwPAJdIu4cceqZAJ/SwtGScgK5 9xs6QU8MQ2MVNQbNBAYZC+p+4ItByWboofLfBPqY6haltYkhPblYL3uGwCNm F5NUusUgremzWzdHoMUOUy/KkBiOdr9dNP1IIGUPZ/nkpBjEJhK0/UpgqkOM X4umBIQszx5LZRIrWda6QYESYLONZi30SLweWLRsKkQCwyy7iOJ1JCYHfZ73 jZDAztjdvUtoJLJC67pOxEtgkKP6sl2fRPM/aOG2BRIQyMoH7qWTKEiV/++6 dgnYJln1ypmTOFotSOrVkwKFGTKfbUtiz3t50thACje2OzN6D5DIo9scYNOl 0LVxxXElOxKLKltUXM2loN2ZYBB8iESvstbk4QNSiD9dIN3tTKIovy11IkQK V0sDLUo8SHx/pTPjS5cUFpdYZsSxSBzpUJn16JeC+vR57bwAEruVDzrxXkih Z17hz+pAEqvju1b8+VYKo79FjPUGfeuJ6c5U/CQFueF6kfIFEmfDe7K/pxGQ OyzdvDeKxH/8BvJ+DCPgc4D7JuFVEp3MjqcZRhJgfqx8S3MaibdlRXEmMQTs raZuL04n0SNnIYCRQgBjW6GDO5vEJy2avzqUEPDzNLuyNZvEy7onZ0PbCXB6 N6VwtoDESwvCkr4XBNgztj15VETiv+Ux6p8= "]], LineBox[CompressedData[" 1:eJwV1ns4VdkbB/CDQjS5xM9vikqi00VKZKYx55VLZyRGhThNmmEKkyGXNCqZ GnIdhRIVQiXRhSREm1IzzpCiybg0ilzSOnuvfSJdXObtj/3s5/M869l7v3ut 9X6XoU/w5p2KAoHgFF6f7oJja9Id+l6D+jiI/fIJ0xA4ZdW6iEBQx4X6yBLC RChpGXWvILDEKL1j9AphOlZavOdsCUxrO2Pbe50wuUn7L+jtJjAr+IBicgVh lq1Tmdx1G8ev0og2qifM9cvFi/+pI0BYJ9NWtIWO6ybHBwROSyJvRt8ljPVg 5vlljwnM3962pf0eYVx+X+pEBwiUH7vd+MsDwoR2OGdGassg5P7Tgpi/CPPW Vl4/rCcDj2LR2wVNhDlQkvF6m4EMPhTbGtWgY6J7RCKhDCzniT/jmgmTYRzS ryiSwVYPj4XiR4SpCjlhnhwgA+Nm3rPuCWFEXV98NxEkgyXOF702/E2Yu/bP YoPCZbB6f4plG1qqZ9LhGi0DfS2D6BdPCdNdeyta96QMlPyMJfQfwgjUuppy 6mTwfbqFVXs3YcT5hn6leiwMmfbfa+zDejNnmTzQZ8Ej5VK88CVhFqR8fNlp yILdbqVvj6I/RP7tM205C9P3nngu6ifMlU0J3lttWFDOKtM7P0CY2Qq8+4Q/ Cz/7m3SKXuH7xp7paAex8MrtZvXvaEKkbSZhLOTkCbO70A/+Ob/JNYoF35xm v/BhwkRe93QuSGWhtv2ozunXhOnZUWfvWM3CV2qWLTdlhGlyv6LkzbAgt5a3 jKArnU7fDW1godO3tdWcJUyaVbjN2YcsiNfN6ClGO2gIrbleFo5Ov6qVxhHG fLruR6UhFoxVnxs1oud9VKj+v4yFsBGXL6bQ7wa6rGzHWGjYx/n5U8IU3zm2 +qQ6B7+kJvWu4AmTWX5QXqTJQX3JqLI3OuZyQOkdXQ7KDG6YJqO9M+zMhuZz 4LrU/Eg/WitobOlXFhxsmYgRJ8sJM+n78tW3X3IQZfXw0A30sNfjSz+KOAgo iarsQDc4FJukfMPB8St6q43eEGafwY6FL77jIEwa7HAZ7eO60qP7Bw6sfexH /0S7/KaQ2L6LA8PKn0oH0CavCvjmPRxM6ytzmT9CGG39vcaNezkYq2o3W4ue cFnv1bCfg7eb3Qzc0E/Kh+qqYzjws5EYxKLrBqtGbiZwYGA2YHYWXTwnSVia wsFOnRaXMvSRX02PF2ZyUOpfU9qFDroxeS8/mwNPtXujLNproGUsO5+DJyrL 1iuMEmblxtAdJ0o4EMoWzjRC60fbpR8r5UDzXPlhc7RKmc4fiRUcsPbFSuvQ 8pf9H2JvcyA/p5Lmgv5X79aKw3X4/EDp8m1o6YZ4n4P3Odi9eaRtF/pmlFfG PikHSXxsXAj63PWl0tAWDpZ0RYsPoJP7Pk78/ISDO+m9s2PQv/yveVVABwc9 aVdJEtrXMWfnj/9yYGr38nEa2uVgcNaOPg4kijH3MtFrr9k0S4Y4WGaYUp+N NunVUvCQcRDZp9iUh9bS7bPYJOfA5Nfe3vPocXG5/8YxDiwMTZUL0UP7Y8+K xzm42tdreQk97LHMP09AobRdKfSTv6ezFecrUfhZcLz60/inCeNnzk6nIHSL 07iIdjLqt5yjSsGq5tWeAnRdTXPLKTUKAt1b/+ai13hUBOh+RmHSlPM8gy7h cpTSNSjUNKb2nEQvTIjL1tSm0J6dE3oMnblwj1WKDo7frKsdj55V4/lYXY/C SMxobTQ6xn3d7oTPKSTeFUVEoN+zS6ar6FPI+52uDUQHxWvnxsyjsHKb2swf 0C8NP36haEjh6/SkV27oR25NgRPGFMzz6xu/RK9ny5UPCCnsU93btBRdE5d9 7t1SCtxYctccdGF10JM3ZhQ6FQfnvcP1o++2NSjEnILh+sVb+tFpMlDlLCis 9/kz/TH60AIt6+EvKfgPCNcWokeq3v/tZ03h4qyB3OPon7b0BveLKNgdn9KK RLsfvVHw3I5CdqrtXDF6OXFXb3emAO699e24XyrdNjKJrhQ0V91nK9B2tbZh oi0UKie7x0+gJSlmXRc8KXT15Nc4oxNWzigO96VwsFssLcX9qpM15S3cRWFg ME0Qjz6n8Fa725+CnnxKbzu6srV3v10QBZvVlsNK6IHwmg3akRRqpTVz7bE/ hD4rm7x/gMLOkj8lWugJh6KyyEM4v5/37H+G/UdHL2POi98oOB2Z5x2KtqsK Hr6WQqFwWfz1FOxX5yYWJjqfp1Cw/NHhVOyHy3d9LlIoxP+3ub1lI/rWQw15 eRHWk1QyqYx+mDvupX+NQmD+tcl9BN+37umS11VYj2VW3Ebst5KjCY3xLTjf nQ2VzBB+LxsdZd1KQZq7TysAHbI1YhV9QmFDa9EGLXS80DdrayfaPcLbe5Aw FVLrAJN+ChWXNNVfYz7M1qCqDR8oeDXqhD3sJUxrbWKc4wSFdyE+7YHotEBj 5ZYpChEZ4zZqaG2pRKlzGg/rTgkW2b5Ax96f4Gbx4G1TIrzYQxjNj6flc414 OLkgcTFgfj0qsgzJM+ahzvnts+Yuwhz3fMSZCHlQyNuUtQ2tUTFdtsqUhw9h NfPCO3G9h+wZFFvxIGu46puFeThz0KE7zImHv0bWPCrHfG06+Vzy3pmH3+4e bl2NTrY/0HHIlQeDRa4dpW2EUc+//jTBnYfUPyQjl1sJo7Z97uPcHTxo7pLs SMW8Vm2j9/8K42HWop8UzTDfpzFnrhmd5SFKVcXhCp4fOq3tv+nJ4UFdIHWc wvPFtWry/HQeD0OJb4xd0ZKKr7W1C3k4ar3xR5YhTOmVnnBBGQ9rbjeN6ddi vpw1WvvsDx4e5CUF297C9RVZ3JDxhofYBQ8cr14mTMrYlu2b3/JAow4adRVh f9s7PvrZex6qGEGbctGn+p0Xx07y0Lpp7Q1JIWF2+nMJYTPk0HXhecRIAZ4X VHari2bKIU68TTwb/R8gJXH0 "]], LineBox[CompressedData[" 1:eJwVknk81HkYxydydYyM7iXLGtWqWEuReLZCzgqVKFd02ZBJiYQuyYpJg5JE ju1QslFEPeNIqbaGUY5QpEEzk5pxa37fnf3jeT2v9+v1/uN5Pq+P7q5Qt90K NBotXD7/72w+51SEhgRCeiqig3JF+KdpZZuakwQYtrW5yski5PLeFpW7SOCQ xv58xnkRzgn+Frt3swT2WLw4o50kQixgGjzdKoHy/Jheo0QRas5js+L8JMBN FqpviBdh5Xjg9NHDEvC8ETwLYkQ4HelWvTkSqH996I+twSK87bAr58mIBA6r /7R9rr0ITZfpWsO4BOJXprd+tRPhE/rH9zgpAeECb896WxHy+N7zqmlSOGuV sIO1XoRD3p7JtdOkkLpkr98TaxFaszZHP18khVuWhTsNzOR+pvX2JjspNBvv yTbTFeGwcOEsQboU0keaFV1GhMi52vcs67IU/l1PkuuHhPj7ptJY9ywp6Bjk 9VlLhRj2j8sgN1cK2j4C2rJvQhQfjXt9pUgKjYGWvNEBIX5WEiS51kjBzavh +dZOIb7VKVF7LJZCm/+Hzb/WCrHMfYMix2YIEpPWt6z4S4ix9meulQqGwPdz 6PQjc4So2+nYmndmGI5zmnK+s7/g6lWnOQtMRsCHDKU5iQdw56I341P4I9BU ebrNaO0ADr8433PwxCiE7uGOeBzsx0tTfcLd9MfgN2PNnmUZfajZVXZdoW4M dF7s16QXCbB7r3NMRcsYLFbYwBj7S4BKx09ssQgbB7+Ggt/1Uz8j7aZPcQ9j AtItFrftDu1FVmbxeUbNBHy6zDxUxviEjw0TVDVCJuFVo+3za2ndqOHIWnaS /gMU9rWGVah9xI7lPH5k1Q84WapFRW3swINh7v39oz8g88MjteZ37XgvG/R7 fWQgvRDPHHRqRWmUVMXfXwaT2stsZ1u24kqPv4WdATKoMSmvNPq1FSvV1e+3 7JOBw6uj0Q6qrVgf17X2JUvu7/v4VbmuBd/vOu77T7wMyo58tMm2aEHlxZWZ cXdlUHx+3KlT6x16F6/U0KZkkDD+PYXO5eMDrzE6j0aBcluhaf4tPtKVH804 pUiBzeCag0vT+MjdaaU6oEpBFFH+TSGIj3rTbEipJgUB3bWBAww+CgJdxc5L KXBm+50I82/CkIUHGqK3UMBJ+9yx+xsP658uf2bkQQFzil33zVYe6oQN1vV4 UmBx9eW9Vi4Pec9YXHtfCi7Ms/k6zOahyeHIh7ODKFhhv8d/qTEPR9/EFxTF UjDuNpqV2Pwa487knui4RYFi30+pzhkvcWaEiqP/HQocrl4/ArtfYua+YIag mIIcZ3E8MXmJ950s8gZLKXiaESHr/fcFCjQa6xSQAnaKeajZlBfolE1TXcqn YIbvYotA7+c496Fv8uFJCo4xBq/T+uow78bTbRMy+T+qea9c7tShcaahTiyN wP7wgbFNh+rQ4fhocYISgUXdATNDqVqMXp/SeEWdwHENi8SxWbXY8+bJ7Jpf CGgf6NbQM6jGO/3aV+jOBCLTZ2xXn/EIE66e8evaSGBEuHra/IMVGOgmZt51 JTB1RdrPXU3lqFVVdc/Fg0BI3IX8U5yHmJiyoz5pFwGmCT3XQaUMl1T5T0yL JJAUoY7GNsVoI6Q9bD9GwFE700rr/R1MXRf357kYAl63vy/ojynCd2rmKo6n CcQJczdqJtxE2853WudSCBxdXa8fczYPUwxeTTvEIXA7eDwluSQHG8QxQwZp BJxVLS0qHXJQ7/Rse5VCAgp+tL55JolImUfPbLlBYMW590N6tqcws2+NleJt ApdcDOdP3DyG9AWO3tvkHBh7l9mmFoVJyhUNXkUEhvXjOGbvw5Htcd/broSA u43mhstXXCEqM1IjS8526Q6rWF3bQbU0zPl0lfxeZoFghgcbHPszeuc/ITAk trRYm5EK7R8qzLciARbL06vakwMPOLqUfg2Bwv3aW1aGXYIPc6WrUp7J89gx 60G8cw5EbbLqo/PkfmBlQoLp39DRmJKtyCdQ9e2bKPzKTRhfIjRqk/Mbg/D2 jdtuQXn8aAD/LQG9TZNiI40iyJZJnjJaCciCpcOHF9wFjqXv0jw5B8SK5ypl 3YVcfkDclw4Cm2pyDMe2l4BTwYrSdV0Etv7BMd0oKwEDr/RIRjcBNivC0Dzo PiioU9Y9n+R55lUVfukrhaCkn2XnBghU6xSFtTPLIbYyt0ZLSOBhd36ajl4F 1LhfPFkk52uuHSVLoisgfblZiqtI3qeF+6ee+1QBYT1ZW3QHCTCK1S5GPKsE j2uxrqLvBJq+aw6KGx/DEucDH7hDBMrmxK9Um8mFvcyF7JAReb/W2bEvNnJh 6pTmfPYoAZ+Qbax126rhY5llkN+EvB+vE82ZHTUQnrVB4D5JYEuBu9KNs7VQ FZRnZCwjkGwosFncUgcZOtOHCSGwp9q1YQ27Af4DKGzhQQ== "]]}, Annotation[#, "Charting`Private`Tag$2565#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVy304FAYAx3GOmSfvluqO8jTntjbkobEpfq2jlpqbZt7XE+dU8paEEYWO 0DwrnCvnJZ1qXvN2xMOZw0juYp7kLffgONyLyssqau2P7/P567s7MOIEg6Ci ovL9x/7XlSEd7FhgOBV0MVoebCrht4U11ar6Lax16Y3tPymhTiVFThGd8XY+ QLh1QoHla9PtTrdc8UNrQbl+gwK2xWxOPdEDI6KbOHZKAZWVGF3c8IXWJw5z UZ8rMGtCTo6lnMTcvTHaXhUFIvyGKpsj6djYJI2bP5Lj2MBIXSExCHX5Qu+z 1XIwyPQSZ34wHFrIPXuuyUG+vrPsg+lZkDbW9YUMOTZc6fkBlHBUbEpqeGZy xLVZ6gTWRUGLmskJEMrgFbTedpMYjeYaJ/mJKhm6qKQmAScGocNGlKOxMlDZ A/6BA3GwmhHHMV1lsDZzfLhi+huM3qUUyakyZO4V6DxVj8dFp0GvIRsZ7LNr 4kkll3Doa+X5lyoyaE6nlHpSktA3p7W7Z2YJvIDRG5/5p4C9v69jImoJ2+zS qb8Tr8LTK3xdy34JvTSqTbwhE/tS1wZ1dywht3hHh7kfE9xi6RhBbwklseTa zOY0uMVanu6cXcT0OnfV1TgDGudCYj0KF9ETJXDPiM7A4c6DguScRWRXGX7p TslG8vFa22q9RZQY0dIyibl4Pii4TDdYQDOrR938VC6C6GaMX9QXkDCQ3+XZ kgvFUQvl/ddSeDLFBDO/PBArvT1oz6SIUwvqP/MgD0+IBxhxvVJor56/3Mph gb0R5sDjSMF6SGBFm7HxxneJRvGRQnXC+urjOjYsD7v4/nrw4z+cGyczvYXG tcTIJEspAp+yKhb0bmO7e/erJA0p3HPGQtwoRcgJ3WV30X8ePY9u+37qUorI LMsX+0LnkKxZ/0UGkQtDTtvWvGkJCF7H7zZYctFknh6oNinB83rv7JYLXNjp cD1q+iQYYkYsjP/NhcMzk51FdRKQ1SwqrGLKIKoV6dFSJejZ5FoND92DrUZL cSZFAu3XrG9Mr/8Jw4H2H+svzII9GU9tfF+NyXKkBpNn4O1zp2b5ZQOuvK0k hvWKoRz32FJKakRQt3vHRJMYaSc1GT9TGyF5t9bhc1+MenoEiZfbiJhqb2pC mhi64Y7MBHselKV/5Hm7iNGdMuqrkdgEEu3ukb8yp2BTaaBhotmCUY8sje6C SWh9SPY/sosPt9MWa6XrozB3V0gFWV04Z1GhxUz+B47lvOV+515UG17qng4W Ilb4HdgrfbCbEO7Zf+UxtjcYvFBVFeFD4uRUej8fvGnqE9GBIWzqc1p1GWXo DCk09pENgzRZICIMlPBXKY56VWEjeC9hmAleNfMJbyr0jc3H4Pzv4PqZoS5+ 2ld3tnFZEyiaVxZpD/bz/wPyvwD2 "]], LineBox[CompressedData[" 1:eJwV13k4VN0fAHBLu5eypZQKJbRJpIRvWUqhaLNUKturkr2UlAqVJaUiiQiJ RlGWhBz7W7Jnyc69tma7d4YwiX7n98c883yeO8+ce879blfRweOws4iQkFAd /vz/O8LWdDKU0Q2idg0rGhbVotpgrfpq9T5gnP88FWfbhFY/ZAkyuP0Q/Ofz 4OLsFsSa7Ott1SDgR9+HrPlR7SiVWVQjEUnChuUnFBd6dCIJhdfU4OAgOF3z Glk2240izuW5JK0dhh6WgQJ3XR+a2M0YdA0cAd0805jjCf3IV7Myd2nFKHRp uHRvuzyAXLTWJEV9GYW2ZFdG3NUBZLM9IPyf+lH42VKw7m/AANqlq+Ug0jEK x3sr5MuCBpCIYepiLncUZjYK/1GNGkAPrILPV8n/BO1q/b33GAPojafxGl/v nxA4z2/f7d4B1PeuMrxJkQkldxL/s9AnUCNnDltzPROai/P3Ld5NoNKNJuZP NjJBR1vBs96QQElvqv6x1mHCrTqjAhNTAjmkVd/vNmcCr2hIftkRAg0nfHkw 4scE5yUZjWauBOJE1D6eqWNCXLeiFvshgXq//TNu/50J3zhCgrOPCVS/yOJo 6Q8mjKm727ZGE+jdvTqZIJIJzEgbVm4cgTyD66MXCJiQka5pap1KoPFrjU+l 17LgOm9LhOpHAk2fb3mu5s+C349sPH93Eujo9lNRmwNZoFE7Scx0EyhTePjO tmAW0AZXtf/2Esg+dtJLP5IFOYs6r0wTBCqrkje1SmZBgLy8ZyeTQHfXnB2/ UsOCG1ulOrb+JpB0G8f8izwbQq3k7I3lSOT28rJh3Wo2fOu9sUV0OYkq3f7q NK9lQ83mnDYkT6LLopLK3ZvZIMbf90pzFYk6NLQElCEbysYe686uJVFiuP8r uQtsQMXNwps0SbRhz/xZlyI2MGYjOMMHSJT9hrH+Rykbzv/UvxdoTiItGUur /dVsqFSzjJA9SCK9kdjUDU1sqFBWa9hpRaKD99XN6GE2+IfnaDtak8i7wyL2 qhQHTLrDdHY6kmjCkF/GlONAj+C3froTia5lxrBOKHDAWnpHuowLiYID+wwM VDkQfqcsbciVRDHrvIZEDDiwLLzc0NWdRJ+8nmhGnOPAgPP5t9QVEhl07Tg5 486BZk/Dr1r+JCo37glx9+XAhS2FRn7XSFQjp9JhGciBwg0WR8avk6j788dA 2WgOGD70b6m/TSKhRV21L0o5cKrIduXcCBLtS1b8970cFzpybL/4xuP9xkqo VK/kwgWfRrNjCSRaEzk92KnIha6n4QHbXpDo99VWhzkbufDnydyh0UQSvbUK tbfezQW3C4m1OikkkhbmHZtx5ULU1rRa5wy83mSPjJQ7F54dKBRXfEMiNrvm u4oPF1xDlAQd2NU/Uq0sr3MhlWtUb5xJoqvZNhYpUVzgDGlfnH1Hor7Tpcb7 C7mQ4dZsJ5xLotpjb0XtERckyuQ2P8UuMIsr967kQoC2foZ6Hoke6fjujq/n QrxZQsyBfBKZLFbVowguOMwIHXAvIJHmXNlp0VEunAt5ZMPDXjUtXLiMwwUb p2lx708kmhru0jGc5IL8tx9uboUkYpQ82BYtRsHM27uTxsUkis0N4GcsoaA5 PXpnHnbwm3PvS2QpUNR5oqj8mUT2MUZbRldT8IgvICaxJd0n1XdpUWBZmqYa gkg06zj489BOCpa7+D4lsJm2TelOBhR8T3dn6JfieDZhqESaUjARHFXOxvZT OK00cJKCLkMzxuZyEjlYahzvPktBZI5Eox/2wSDhsHYXCp6ebssuwVb5mcKr 86RAslIjzaSCRFIrL637eokC7cmUwhDsmYN7bSv9KYg40R1Wgd2SO1paGEyB 1UVH+x2VJCod+TSeF0rB3KqYsx7YDPlw1feRFHQn26xJxb59c9PD17EU5Itb N86rIpF7zmxFcgIFTv4BZVrYtsMNkwnJ+Hw2irifwdYw9z79JJOCy7y5gmzs lYFGjx+8p+Clgld7K/b8DzL/heVTUFyx1GsKmz849DukiAKRSm7VsmoS9cp9 3HyrlIK4O7zW7dg1B+45BFRRkDkt9/Iwdt512xi/GgquPD+x3g07KVu9xruB Am+XfNcg7AhyeuZiCz7/ISXnWOwrS+u2nuugQFktfiUD23H/C2enXgrOflN4 UIR9MMDj2WmSAgEnpfgrtm7W7jq7UXx914ZXrdgqhKTwcQ4FCcPZpn3YkrKk lhWfAguG5uth7D/7cl3NJynIrntXysIe9Q+J3/eHgiz5tdFcbObxDa4vhWjo G4laS2GfoaVFVovScFt6yp2D3Rb653n8XBrC5lj7/sQ2Ux7Sll9Aw+M3WVok dmlxXcPTRTSMXBfN7sTefjz/nKw4Dd6BR4cbsDOpF6KPF9NQtuNVezm2Uujd hCVSNIwXTQXlYMcqeepEytCQn3KY9RJbotimSUyOBk3pj+KR2MHH9lwIXU6D UL46yw9bwFWbO38lDatKPwSdxna/J5UYvIqGFs7RdmPsQcXpHSKKNKQFyQ2v x248Wus2s44Gq+Tl2iP4ee7l5s67pkrDg5Oulyqwi+8mJE2p03Bj4JdnAvbr QveWsS00KATznh34f3wctXb30qRBWtLnPwXsRxxYQGnRILLPLpuL4+/GGkk9 5k4aCk7eyQ3FHv8kaP1Xj4abQ0TDEezzRwiPIQMaaNeWtBXYx+7kpPQb0eBx jXE3Fcf7RvYxsXYLvD6ncOlznC8FR81RmCX+f13JDnNso8+GPgZHaEh93kNP l5HILnJL1ysbGjas11Q8jB2qsZDh60jD4G7nu704f2We/bVXdaGhSExkyh87 SXhCqtuVhh9POktksAuaCX8jdxqu7Mg6tLuERMO+xQekrtKgH7Xmlh+uH949 H2arrtEwoNSYNluE89Mk48PVGzTEnHmnHIQtIxcjPxBEw+Xo68rBuB4ZffJg ZkXS8PCiHrjg+pU0oxRmkUpD4+zaBYwcvD+X5QbCr2nQ6+O/n4/9sX4xPzeD BgcN27yzH0hUn/jHdmUWDdenkr6Kv8fr7WlTY33C8Xhm1aa9uN7a3Qn9eq+B ho1HJxbuSMf3yw28rtdMg3Cmn+P51yTysr68lW6hIV0mZXlcGonuqTo+s+6k IcCpOZ6XSqL8Gr1zKkM0qI1nzrn1EveDxfSCyt94vc2y9xXjSNT8Oezu/hkc T8tE3XWf4efrtm5ew18aDOaKzrOKxfWqxk60cw4PIjwWnPSLwQ6pmqEkeMBM 5rxKf0SiJdNx/BXKPPhb+Lw/IYxE/4yYdPuY8WC7QPZ2C+6PtdH9dgILHuwV d3qf6ofz3/haxw1LHqQfEk70vkwiseTsttBjPKh4oZY/35dEi06taEo8zYN5 bSZdSz1ItOA7XfXNhwdWymd1v+J+PQc9z1KO50GUgKl2E/f/Tj1j074XPGiW FJP6ieeDrEJ2f9xLHlQ25Z46ZIbPL19fSuo1D36br1CUMSXR+7d9vkIfeKAq csvhxh7cH+KVdXv+48HmX0rKbdtwfFxlVMaM8cBOv2Zv9FISRU4eOXV4ggdS N6VPMGRwfbr055e4gAell1X6SqRwvnpZrA+ZxfcHhjt6JUjk7EqF+izkg09y 6M7Zefi8rLcdslzNBwvXj80VEwS6oFXUsdCMD2fOLNzl2oLnycbWzAILPhzX HAjWaSaQ7EU68F9LPnjldzrMaSQQerVOpeoYH+a/q+6O+YbnL7mH3jfP8OGw btT3F+UEKhI4iU1e4sMF8bh1u7IJJIYk9AeT+LA7plcpPZRAjP0OSSUTfOhH +9E5bQJpbVQ0AAEfPCOGtzVpEqhEor8LTfPBeNQgZbsGnne/n5IrExqDsw+d fabV8Xx5yjayYtEYSLSeJNzWEMjA2zLgy6oxOK2waw+1CP8+zsCmee8YfBjo 3OKL5+dfLPklwzFjwAiS73gQOIDyjuwTfWI8DkUG7aGbnvajQNOQxNzhceDb FN/J1+tDij0HfqSE/AL1ZpHQcvkepKsT/GS55gTE+vw6ER7WiU6uahAIf5+A lwXcAVFWO/pVc5/wvDUJ6om6e081t6DYOfa+h9dOQdjTTVRmdhOS7s1LFqmc grevAyr/Vtciods65Stbp6BcOd2xHb+//A9qfDK0 "]], LineBox[CompressedData[" 1:eJwV0mlQk3cQBvAoKocam3ghgwVUkFSttHjggY+14EGiFsRjQDwQqiKgKNZC ERDEgkbDCIoCxomJihWMlohFA8EUqkGnXJUaRAgBcvAmeBTBBvP+m37Y2fnN 82F3dtYj8mBI9EgGg8G11f9duX730i1tHyE/eJma1PRMwbi1Q6plW7C6qFqV IXuoOFwoPctWWhDxjU/Wtn0iRdWcbAdW/DCWNGf4Xv9dAlbQ4bkZzE/QtV/t aBNWoX1eY0uS/BM0v66NPMqpx6GETQbD0CfU+NQXW+P+xF0hZvXssKL45yBe prEZEdJFrOm0FV2n8xnb1qpREfaR2cigcegt54IyWg3mmIfjMu1oNG0zr1+R qUbNdn8HowONE+57b+6vVmOGUwCRTaThHByQkLewDbqoYDOPQ+N2pQv/u9mv EO8Sq0oJpTFCH7c/cdprpGeJTrT/QmMCI3xyiEiD8cfsg3aX0eDukvFu3tOg cF8cWyelcWqOs8BRqUE5d4n4jYzGYHhVzQetBjpWU+1IBQ159OKGQ55d4AoZ DpwWGjlLJfKJZV2Y8mDnuaPDNOIGF/Vwn2ohLqnbYrHSiOIcz7zQpoVP4Ry3 NAZBMvl8+XuTFuuOD0mzRxPEiO3H61jdSPlW0FQ0gUDS2+Gs2N4NbUP1JOVM Ap/Lr++kDHajzDC9iMkjOMsNZKmX9yL7Staujg0Evk7bNbLQXkSFmD3vBBPM 3difXBnbC1e5/O76rQQzRXn9K6/04rQg/A9+JEFg3czZ3zN08JbvtjglEVhr eVFujToEUIwHbT8RfJ068NVkSofzq9IP5KQSND7PbHUcrUero5990EkCFfvS kR/89Qh83eqaI7Dtn1I/drpUD4HXc6cj+bZ5rvzzvj16qMypA14XCBRuktBn lB4zTk5aa3+D4MOCSxK3awbQfinj/y4hGHIbu2Cl0oBC/XJ/u9sEzFF302Jf GcCcFhSxxeYV485cm99pgNrc3XzD5seXZ2hbtAbwx1SqwkoJ2AbdrNmUAblb yyNW3yOwE1jeHvA0IrkwiVVs8xdah4J8jhEOsgTeSTlBpEdD8sR7RgQZCnqc qwlyKWlgfp0RbZ2VfpsVBAJY6aIXRlTke9CzlATjNoQEqCxGdE75Z7HgCQEd 737+UkAfkjf665mNBF188WhBTR/amwRCuxaCqY/JkVKqD/96U/PVNo+o4DaU fuzDb6eG9rS8sN1T9vLx8akUhNb3deyXBE+FTxbmLaOQv2wnR2zz5nbOOlEA BVHLnvS+doIlgWH8Z3wK3OtfylZ1EHAk897/KKbgFXYxid1FcGOY5XvuBYWR E+gV2m6C8A2bPaocTYjhu1tzjAT339UG/pRsQtojkdKVIigrnpKcVWyCclNe RqnN8Y8+K7hdYsLFeQsFwSYCby9kCytMSNAWh3q8Ibg25lZqwZAJW6+mBZve ERxrFh4N8zfDmxfbWTNAMOgX49J92oy9ni658YO2/3ueXl5ebcaoEX9JcocI Et0ZZ+50maG5vyxml8WWq3Ywr6/pR2LxGt2mYYKL8tYBp8R+yGPE832sBD19 xqk99f0ocBv7gRCCotrohyXWN/gPFid9aw== "]]}, Annotation[#, "Charting`Private`Tag$2565#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVxXtQ0wUAB3Be4Q6BIZC0gXHKNi0DERPmKX6DQV2jwxvgwLHjdIBXcTEE xAX54LHJc0qOMRARaaCBAQ15hDzjkafMB9ClEU+1IFGQgOG232/VH5/7bBWJ w+ItzMzM9v/n/7nxc4965+MPbukLCBsjTYi2UU7dNmdjk9pbMFVrghWHnjRF C0Kq12TU+QQTlnJnuw+WceGsXc5p4Zuw56qqopkWAfbcxln3nSaYraTZo1iA 7Kd3I5U2JjxzY2SeYsWAsXg498I6CXH0yM32pFj0NDpaToyQCNH+prlCi8Px qn2p72tJxDNiq4J6jkOzU3ehvZ0Eo3BLjcn9CzxfriYEtSSM3NjSY6xE1Psr u7RZJCRdnnYiTTLMfe3/kkWQiIzTdX1LSwUxWXC6LJDEAIfe1l+RBtn0xJAT kwRHpRWKtBL0vogsybYl4e3h37Ti/jWKeeyE5xQS+bv67R5apSM3qlOXYiLg J29Mp1d9g+HE/OAXTwlQZrOq+awz0D0r3/FolEDrsSfFTsIs/DrPJEcVBDb7 nucU0XLguMRVnUwhcOcQxyfdUYoCZk44RURAcfWdXma0FLJzrQuvhQS41LoD 3RUyuMQ4vlz+mEDVKcaP+e0yHDgSd8k1mMCsTr3Kdc3D3rrhn6+7ERhK7ufl pebhZNJ0hJ0LAfkPjjt4LDmElTLn0XtGVL19SJZPUyBmhs0bZBvRrhyyYh5V INmBN8nabUSGtnSA36GANd3GL2G7EXzptIVHdAlCtvX1BG42QmIZd+/zGyW4 P+nQwLQ3wnb1xNnbFUpEfRRz+MyKAcomC2Wqhwp1f3f7NQwbYP6Hd85djQoi W1WQU7cBkjGFZMG9DH1IyV7RGCB6qKyfp5aj86Xr5b7LBvAu/f5lKKsSmrHO 5XJfA4Z+KhdsCK4GxddpT3iNHpmU5u15NDWK9jHP0sP0sIj87LtbnmoYx0td m0P1eNwcJe9IUaPQ07lxNlCPEal4fvwXNWzk4QsDH+rBsPyg3iutBj76vol+ Fz2GCLXX2EgtQl6V7m+afAPbf5R73Qu/B/+rXMac+A1UE+mcFrIBDxLW37t2 ZR1RR641Lr2+hbHAyt2ddB0WxyNsqukt0NMrkwxUHWQxlPhwTguo8scpAW/p 0BwrprcqWvCgJODczOIa7BP9pRl+rWiMKxoVD65hMOuJwPp0GwRba8VtJ9bg c3OTtRulA1OSjG0X769ioylT+Mm7PdgwIhxcU66AyXs1118wADteaPWnR5fB zqA6/LnrDhLppTPUqSX8C/jC0HA= "]], LineBox[CompressedData[" 1:eJwVlXk8lPsXxxGX0lVG0uImFUoqiVQ/OUWuJnUvJWVJRYkKEbkUQ7jSok1S UWhPWbIkS0dlz1IYM89jTQwxM88zk7JFv+f+8X19X+9/zvmccz7n+9V28915 WE5GRuY9c/67LYh9n7Idq4DWs1tlWU+DRq5qh6xsA4iTczfrhAkhv9uytsGs EWSetPZevdYP744mz3cUNoOuXV7ibaoHvutunPHCmwcB367Frcn/DHKj6TPn 65CQ+m1up1JZG6z9dSB/V0Yb5C7ktrvwW6A2yri+Qr8TiEmd9cZ/fQKtK4Oj T8VdwPbhfv6mXwmDw50dXMNuYN1I2jqkUggPBopqVOK+QMSKsNknVW+Ayh+P qZ6eHsh+4f02rSEdL3rleaQsEUD/3Qe7dVLe4I9N6T2enD7wGEomPuRUYoBR We7s9/0QM5Ky8XJLPXZmlF34pD0AaRmLsne2NeJHkbzQSG8ArvQfeN7V34il Blbb4w0GIEb5abPH90ZMeVY+fY/pAHyv6Et0VmlCt0cVl9q2D0BHW6aHAJpQ kFx1uS9oALxjKvPPpDah6GLt9Ym6ARiTllbFuDbj+NHmO8tCBiEgL3ak/Q0X 7dfuu7qSMwixkt6GW1VcfC4r+HdN1CAkcg3u7GjkomvisN/GuEGQSfo2nNTL xbfl87bapQ3C1FZfI1K5BWMWHhz6p2YQukhffrVDC6q1iLZXzRPCubyCRQ6C FjyeesqiTksIFpqJSQpUC5Yd/2XauEQIVRuW7Ho+3IKnpqgublspBD9W275O JR4ShsajlIUQwjrLN7bq8/DehZCHGseEYLnBL2+JNw+Xb1ac9CgSwpRIacen AR5mPUvX45cKwdM1pnNSykPjWbZ27AohZLxflrpwnIdmfYkPln8SgnWOtZWF Mh//uqRvQwuEIL8nVGtCn4/+xI7EYJYIUusmw9iefPxhIX07oCEC9uGvnDe+ fDz9PGHQ+Q8RJH+xzNcL4mMUp9PcfKkILta+vdcSzccEHb9eOXMRyHodPf4w jY+v/eKNLnqJgDW1cfYvgo/mretcJnxE4H3Fxzyni4/vtrRH+wSIILx45nTn Pj7WaOgSthwRbMhiB0YP8bGt5BVH/YYIHM5mnN2iQqDMtNbau6UiuBW5/b47 EGidpn0kW0MMqpsfre67SaBxoopuhaYYIMfk4ZMkAhfGjfeQ2mJIb2O7uKYS OBbMdZM3EMPX32cEP3pG4Au7WNc9m8RQ0TP07EkxgWqykt0TnmKYZL0b8elg 8g23z2L5iEHC7fP26yZQKKxp0j0phlSVg4VHBARW8B/Y2YaKYemsWFwlJjA4 a++O+1fFoFdZXmUwQWDn/tIt7EIxrFIs8uXOIbF294sprigGQXi7N0uTxAKb 2+/8y8QQMqfzs4UWiddMAzYl1YuhuVhZPUyHRKsZS82objFkW+xX2beaRCMF 9fEp/WIoZx/WNjEmccG4bOEckRgC2MocGVMSRwStphbDTDyiTcHPjMT0N5fX 3FCmYC9H61XBnyQm5p6RPp1JQYm1cbw+m8SoZ17Zb9QpeCc398ZlGxJdEyxX 9WtRoFPkRBvZkqjqM6z/P2MK1B2CrnfsJXHSvefr3+spWJmxXv2rE4kDjp+e HDKnoMdwLFHgQmKZVbpu3FYKBmJ0bhYeIDHoj/2LPrtQEM3qVqw4QqKbraFD 20EK5IpqNA94kfhXpOx5ngcF6wq/3BIdJVH3631J3QkKmpXp0m5vElmagTrV gRRcqYLD23xJnPjrT8eyEAocpgd7PDxBYnNuf2lhFAWDuk6BJidJLO17PZQX S8Hf/8wKOxrA1D/vwtLsOArsbrYT1wJJPBu+4srjRApCwt9GlASR6JMz+T4t mQL/wafV+A+JjoKG4eQ0CqY9N3PJCybRcLv//vjnFARRck4hp0nU5Fhev5xN gSj5/Vv2GRIVX86qPJ9PQcEatvf0UBKlPb1j0UUUhLM0nN8x3KHxamVEKQXp mtWxx8JIrNl2zu1MOQXL69RGFDkk5oU6JgTVUJCzo+zBTYZTsvRr/Bso2HKh NG5eOIkXv4xPeDdToM9WzLvC8D+z61Z7ERRYGWXNHmPYnX338KEOCrL6B186 RDD9PON7a/8XCsrV5GMfMbwhc1OdUz8FnsedE78yrNutKusgouBlpXeX1llm vupfjO2kFLRpfTzAZvinda7n9mEKOHcM53ow3B8SnWT9kwK96w5TTzE84LDc M1WGhgU3Fq0OZvgArSanNYWGpCNxV3wZbon9eSdJgYYVU1/oOTJss7jXZJ4S DQczn/0wYbi0uK7h5jQauO9rJxQYXuuQ76X+Ow3hnX4bqxl9z6m7U67PoMGs TDWfw/Ci2JjkmSwa3thv9FzGcOKiE6Zxs2h4ff6ufQVTv0rx3k/KGjR4Hhs5 7cBw1O7Nx2Ln0nBoTLeTYPo5Kl6moKhJQ5W+FseWYZ9zrHtRC2h4VS92KWTm 0aM9vk5OmwaT6OJgDYY/2tcen9ChQXWlZ2A6M98/xbm/nV5KQ/0DlT3dzPyL Y5JTRvQZfYpbQqcz/LjQp/nbKhqq9UaTNzB+0bTf4+NnREOUoXySOeOnayJQ ooxp0AvL7TVh/Ba2UNVsYD0Ns2cuPjTJ+HPo9Sj3iBkNLx8uT25g/Ht0V7dv rzkN01u99eP9Sdz9b879LksaqD0mNsOM/w2Eu5V5O2i47TQk0mH2pcB+O563 paGxYL6pryeJliUWJ8130dCxD7KeepDoFLeq9eFeGi79PGghdSMx1nBqeoA7 Dc6rBM6NzP7OuvXLdakHo+/4wK2HzH6nyP5gtXnSQP6Rp3/UgYnf2B1i6UOD O6G9t9KOREFA8TZWMNP/S4ITjdYk+re/nCw/TQOmCBoNrZj9tHr6MjiMBitN 7+xwCya+RsK8z5E0rPXjjQ0x75Hla9+BzDimf/E/3A2Z9yxlYtH5HQ9o2JZy TnZkNlOfx1xz2cc0RDp1KvqpkfiqfoY09ykNoXImdOsMEuvv/XTUzKRhYfnv kTFKTL7NLcsGX9NwJyg3ZO0ogU7/xlafa6Bh9RIXozEegQIxJ9Ss8T/9btXx TQT67Tm1mm6m4WZmQqF2A4Hnlrrf2kPSYH4i6gOrgsD8GjMv3V4aOCWjsTtz mP9gBq1UNkZD3JzrmX9fILCx5HwMe4IGOYNn6d7/EnjtuM5vDb9oOPz3wnXh EQSyapymkPISODZPYUFkEMPR5ROUigT6O7M/y7gTOHP8tnT+YglEahwJ7DYl cHqfVdtJGwlYf7xe4sv8j7U3upxGd0ggK0QmYkUTHy9uOU2E2UrglV59QVct H5XTslpid0tgp6VZml4pH6ftm//p3n4JZBQPLFn3iI9KTXT5h5MSsI0wX3r0 BB/l8U7m4iQJ6MxPSLKc4CFptmVr510JuG2qqpv/nYeZhcKu26mM3uKPD/qF PHTK38hiPZaAs8bUIwfaeJj9ojNA5qUEbILNVlQX8tA1afGG9koJdF99ZBwT yMOC4PSyhG8SWPH7E3equwWPGRcRU22k8GdfPmvZPS6WfuQ+L9ghBf8M9ruk eC6qe9OcI7ZSKLpasl/xPBfxoY5u+W4pCOWbQ98GcFFN44p/+AEpTHj1DVez uVg0ekh5OFAKHM9r9qulzaiMKht7UqRAOmvkRZo1YzrbLeXNDykklV0V+BY0 4vfBeTMFCd/A5uRnjqNeA+btsp4Sv2UI5iittp0WUYmcrdH3cgVD8CFPIQ3s EbXbt/HvR3+H3B616oXRL3CDaVT8XKMfYJR64sNI71VwWdAwKtv0A2zc5pqt u/AKvtdc6j4RMQyl0re8RzkVkCjvGrBzyQi4zlrbm1f4EdQ68tLkykbA5tHl DBXLFlAIjbBf7zcKvckaXyIut4HMU9fMbtYYEEWNFqf3fQb/25mXWO/GQCA5 PZja1QMly88pqfqMw+yA47YHI/tBdZu/wVmVn2AxJ/JYu4YQ2lZ8bAou/gmx Fk+Uz8+n4fIFc4Pt33+CbajFTAHj+/8DQy2s7w== "]], LineBox[CompressedData[" 1:eJwV0n001XccB/CLNk/R4eiejFsI00ycjdKMt0nMU0UhHHFjhPVwT92zSR5q UeR0ba6HyYhrjqM8NOZhlLlo62HzFMoxpMJCD54u9/5+3+/u/vic93n98fm8 //mYHjsV8JUqh8NxUc7/6R98vCJdzqC22b6pYfItwut26fEIC6GDuvadsGWk pZddGKsmGLPT/ChIRQadb9S9+TUEj6INjZa0ZSg6fkJ/uo7gb+7pqnyuDA0+ eyRvGgkquzaPv7OWYVqvv1u1g2ClT79BHiSDTwlHY8cgAa+UaxlbKwO3OeKa UEHwp0qLh0/UGiRVPUFyliDpKD/+5ck12BVZb0vlUFwws7LPPLcGr2RZ3ZX3 KDpD3Nxff7+G83tF/dc3UZxIjTvwSecapnrvGki3UxT8uI/bY7qOmlnedV1f iq6BgvlT8+u48lN65Ph+iu5dzdYminVEByxY1PpT2Js0rLzQlMO4vb3eL5hi oN7TsPZDObJEYfeyj1Gclg75+0XLYdXOl2slKn1ZIPaeksN9jtM8mkTR68p3 zlqU4we3tITMFIoQW/GilaoCw5qO6t6XKAIGrJ20zBXY98+wcaaIokJ/a8Ry rAIiy0daZ8QUromfDYdcVuD+QsqyZR6F2bem/JGrCphdMvhSvZKCTW59clOm AHE8rzNSRRFsE9j2nRaDopnPndVuKvtup8/AkIGuoXd4kNIBEteaM0YMni48 H6hUWmVVeDSPxyD7/db7obcodr/V1BaYMcgJbgj3uK3cl+mKBe4MzhUl6hUr XdK2vWvUg4FGo8D3UjsFv7haEZPHwHu24MWWuxTXqoRejmUMRidaHQM7KHJD jhQKqxk0iU2JuZTCYjWoaqiDwQR3abfoD4rxlxmLRq+U9w84z+j2UewPM6rP sGMx1i8qURuk6B+ZTNngxWLdas72qdIk+eDQkYMsWjJkUYNDFJmBqh+38FmU sIs9+k8oChN+qSVCFmKniB0SpXeW37DfnMSibDAq7dUYxZhNU0yChIXPzzsb 3cYpKh/kHt5Sz8IyND9R/xlF7LNI8vohC9VNxGXqOYVUJ7prYJZFfLYJm/kv xUXJPcGgJUFqW5nUeI4i3MBgNG4PgfRQ7sVbSpebXzXb6EqQb+Mg8p+n+Iss 6lR7Egimig+bvqHwdYphluIJgktT/effUbgUlApLcgisfL+e+H2ZQl2jsMzh N4JYiw9yTq5SLLj19T4YItig8rgiR0bhdCOrO26WYPJXp/hIOcUdv40PP91K cbbYc/qQgiKRN6cW6kDRHi+xtWMp3NL4Z8uVf1qwTXuFUgpe5xcBjwnFfzra EP8= "]]}, Annotation[#, "Charting`Private`Tag$2565#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 4.999714070858953}, { 3.5154535402747886`*^-6, 4.999247369599134}, {0.0001152118573926528, 4.984244694733099}}], LineBox[CompressedData[" 1:eJwVknk4lPsbxu1CmBkiZcla2nRE0uJ5HZUsiRbF6SCdspzsilBSlJF0DiXZ kqWSPVuWfMWYeUPkWFLEObJMmHlfS9bG/Pz+eK77uq/7vq7788ej7upz4qKQ gIBAyer9Xzk+PygnWNngb5y3w5hKw7SEt+ftvJoDkWvvsodEaRiTl72z65/n MNKtYR9JULG1M4mGarG5kNDOuJfRSMWSvoaYla8UQkdI70KxNxU76/CsiJwq g82jCQ3HP1AwKX7EOXNVBONMaaXXbrKYth2X3XiPAVaJzbSbLtJYUJsxJM2+ B/6Nd19Cj0hhimXUAUHBdvh5aX1bqKsEVjFk1tp+4B9A7HApmUviWINn2kaH yS5omGuS+XpTFPuhc1C2wOsThL2sDHNlCWNCi3mUjdpfYNi06Td8RhDbw3ep OFnYDz0OHdT1FgJYa6RBG3PrIPjNBa9zceaB2l8Ti7ncf0GvNiI1emkRJuYH B7p3DQHdlBkKQ3OQPV7TLBP3DbouKFxZTpkBGZUXxPDwMNRNhwMzhIRYj/JL GVqjcGbhjUX60QmYw/KG3cPHIPuqW1bIiREI1GeUKTSyoT9dR4/OGYTBQsa9 DvVx0Imaoib0dsGyZ1eKbsgEdB4/5lVxqAm2mYqvXKqZhMeG1duD7qVD8au8 zb31k6tqq1dimwoG8rZ2FsxJCITKaRPFZDgwlpS9rWMSbveeOOPy8hHY3N9q RY5Owlh/o7BMBR38Px9LukbjwLUMevVZrh+q8nuoH+vBAVO2kua4QBYy6dt7 jufNgfmigq3yYtmo4dDXKO9ADgReMbngJJmDmhV1PtuGc0DX/H6hJeUF6n9b Gb7uEQdErJOum1HzkIBkX2t6PQequuUXWv1LkHmmuluJIheKcnLl9g+9QQZJ MjpMZS44mlzuf2tdhTbFLQ9/UeeCRJZlTEVFFVq61u0qsp0LxR5iWsL0alRg R3c6g3Fhx0M37y86tUhOcOo0z50Lz9XeeXIOIyQw/1We5s0FY6HF48vPEZqc bO7UCeCCIJp9Vixcj5i92Xa217nwt8e3gwoX6tG14rPHsv7mQm/FvndI5R0a dK4/ZFHNBXnDZ+yAiAbUerpA2AlxoTWbrqWb34DeWCU3+DO4YHa8peBKTwOK NwrEUtu4kNnC9G/TbUSHZbccIIa4ELaz3d2upRHpi65bFmZzoeUMOZ4w3YhU lwWr13O4cHFZ291FiYEWRvuMfp3nwsfYU4sPLjJQXt2D3Y+kCGgP7GuXW2Cg pLKw6VwKAaINU0zfjU0o8pVHSd06Agw3f+eZmzQhp0QzPbYaAVzTOPq5W02I 6j2/db8BAWO7tJ0HhZlo5cLw9+PGBLiL2Yy1azDRuEPHyz9MCDD+oPD7FlMm YhzO04k7SkChPeiKhzFRkIqzxn/nCLB9PjhtMM5Erra77PvPr/KkSRxJE2Yh m9uCMZ8uEWD+9/kMZ2UW0vmeNfXBl4Bh1lcDthUL0ZSvaL+/QsDeujnLXFcW 4tkccWCEEOCxQU2jOpiFusrY9dWRBNSz71TVZ7JQ/VjVbDmdgLrmZpuSChbK 23BvS0kcAZsFCbux9yx06+aOv14kEeCluyNQictC3qUrjZlpBND3D92n8FnI YbR9Pi2TAEiykDGTxdEua3/nh/kEuPRpFdjuwJFyuFnCgxICjvcd1968H0fi r+VZMRUEzLkN1OgdxdH08MhSVA0BCjUK1u6ncDSgWLkzop6Arsw2Vpszjpot o13DmggYkMwzPu+Jo/LrDolBzQTEiPzOUgnEUUbx1mb/dgL6HvaUCl3HUey3 ZZ5XFwGWhn7nZaJwFKzw4RePzwTcKuWfhFgcXbBIv/jHwCrvEkP/YTyObMJ8 njh/I8DR2qJZKglH+4qwD45sAlSficvkpOJIZ4gqaM9ZzZU5Ss4ZOKKu+2Zg N03AMiVnt3EWjn6al7lbz6/yP85v0c/BETskKtX8JwGPwnRvWD3H0bj9Nvdn AiT4GkbI3V71LqSckJowCc1uBTc/r/Z76D9TUkVJ0K+2HrPJxpGV5ojhhjUk 7Hnq8+jbMxzV135ofyxJAodQF01Kx9Ee+wqPddIkLBuV9l1OxlE+kS6cIEuC f2I92/URjjTod9MoNBJ6hUS0Qx/gKEnD1yhOnoSLCZziimgcydSe7ZBSJCFL Zm2nQgSOIk+b/klXIkH6ieVcajCOFrm6ouLKJNQVSby09MGRdzTtaaQqCYO9 SonqF3E0rL68V0idBDwyPVbTEUcfT7Ve5mmTcN9d1qbYFEdHuGVioVtIGHBc awgGOKq9m5axsJUEqTvqZwV1cPSi2rtrRo8EUzzea4v46n+cOuPtp09CWnb3 uvg5FornwBrCgIRyZsv5vSMsdGMT9cC4MQnv7ca7D9Wz0GzVYrfbARJC3mtL FeezkOfJIZ8RExIcQt8snU9iodN3SrP+NSMh/mPK2WwvFto+eVrq0zESgt0+ BE7IstCbU9YoxpYE52x53fxZJjJ7+2uAyUkSJK6YWeX1MpFjnF5fzlkSrAR/ 5PqlMxF9l0Re4AUSIlotQ66qM9FoYK0l7RoJFlydkwviTcj/6+uVplASYtg6 wpJDDMQ7nPv62g0S6iU7D0TXMJC8YuKG/26TkBHOpHRdZiCzKp/xojgSNALE 3ozjjSiDpxFzLJsENZX7vXPuDWj7JSUTwRckZDvXjfTta0CVbbLTZbkkiJcN T9msbUBtT386KBeRMOt8qH+k4B3imfboTlSt7i9blYpM1iPHO/T30e0kDEXL Kxe+qkNysuQaxhIJYkPk+rvNleiftzF3LXgkSHpJHCSdKlH8ZW2xdj4J1wLq 9/ZOVyBas6PwF5Ep8HbrOLVVadVHNfEImSnY4pmwhudchijLydMbNadAWdp1 Q/CnYrR27HB/gNUUxEq+26E9kYlEUEqRZuoUTMu1qp6OeAJ/GtR8lrCaBu5R K9ijz4Q8C9eMurlpkBBp6ZOy64YfExsoo4kzEOtXXLXLdxDKT5oLPzw0C0cO 2/pGBI1A+NGop2Wjs5Ai/aeKpuQEqH+17M2K+gH0DknF0/Yk7DOKfKikPwf5 59qe+4XOwDnV9kXBzjkI+CWr1OHGHPxovj/kGzEP0j0BC8k9i5Ak4hR4QmsB DgoxGPw1PJAbKM8UYiwACG36FqwqgIlejzhl7LcIXrs7iW0jgphArlPREG0J QkMsnxx5LIz5JxfdpzUsweNN2ypngkWxt9ui11C9l+HtI7UgEydxjGrpv/2W zE/oDokec9CTwPp3fOy8VvsTzhQRgZ5GUlhxOmgNO/HAszHOiNgpjf1etIeq ssKD8sNX0WV9Wexm1LOI/lcroNEf5XmzgYJJB4lbni9YgSIV5QRRFgVLdvei jRatwCTbxy22hYKVWhlnEWUrIN42pfW0i4KNUjsYQmgF3t28HfB5lIJZpQus 0e1cgf0/TAtypKiYQqVz3JXlFRCLX2pl2FOxrJdN9ku8FaiwDRuh/0bFdiVv UwsX4MORGV0vOxcqZnF9vihalA/hv9RNjnlQsTCzBx0psnyo0VfN332dig21 18k3aPKBc7BwziabihWwVVJkrPlQLsKtmJilYtFpUS4DNnzYbMQcKlyiYn+c 4GgX2vHBVyJiX5AADVOurS0+doYPJ/RbviuupWExD35jxrryQef27flUTRpm 3mNt4n2VD2PDikmbbWjY/wCsDruf "]], LineBox[{{1.9745531734228603`, 4.649378282507097}, { 1.9787207152144783`, 4.688968638921458}, {1.9792511360269374`, 4.694142791945341}, {1.9792511360269374`, 4.694142791945341}}], LineBox[{{0.026089082519384507`, 4.643426699248538}, { 0.0350451422846122, 4.563699048671788}}], LineBox[{{1.9868583233326689`, 4.772943344200311}, { 1.9890171235866694`, 4.797458534241166}, {1.9892207977123333`, 4.799856510591933}, {1.9897035508114822`, 4.805540249315465}, { 1.9897226630575817`, 4.805767510647624}}], LineBox[{{0.024757010178608062`, 4.655811556755268}, { 0.024813572315302873`, 4.65528237367648}}], LineBox[{{0.012429306800578199`, 4.780894961442156}, { 0.019260257456407852`, 4.70885120020252}}], LineBox[{{1.9690305277058797`, 4.599293706707131}, { 1.9725428701911636`, 4.630868154968042}, {1.9732763460878604`, 4.637581867096684}}], LineBox[{{0.02178799830232559, 4.684037266938557}, { 0.023481499974526428`, 4.667826769861331}}], LineBox[{{1.980216524766344, 4.70364882914409}, {1.9820111257845565`, 4.721766014417481}, {1.9828868521843874`, 4.730606808150189}}], LineBox[{{1.9920574042582282`, 4.834598073398284}, { 1.9924490109655175`, 4.839675697973514}, {1.9931356869355459`, 4.848784908686777}, {1.9942627197136527`, 4.8644016643989705`}}], LineBox[{{0.006990001109958442, 4.847096681042143}, { 0.008905112612481055, 4.822558619487021}, {0.009176606110972044, 4.819080010450934}}], LineBox[{{1.9972083674759915`, 4.911386949666069}, { 1.9979406775092352`, 4.925567796660892}, {1.998627104734048, 4.940756955418829}, {1.9988593097021097`, 4.947104757793234}, { 1.9993135319588609`, 4.959521861285812}, {1.9999999591836735`, 4.999714070858953}}], LineBox[{{0.020535767660489486`, 4.6962310800431135`}, { 0.020535767660489486`, 4.6962310800431135`}}], LineBox[{{0.010452116315053678`, 4.80369386704174}, { 0.011559858235370032`, 4.790789973148399}, {0.011621333053202478`, 4.790073863636}}], LineBox[{{1.9907818940541464`, 4.8185696688279345`}, { 1.9907818940541464`, 4.8185696688279345`}}], LineBox[{{1.984177992585372, 4.744041629198055}, { 1.9848985602377929`, 4.751667213499759}, {1.985582813128587, 4.759002897196128}}], LineBox[{{1.9955382299177344`, 4.88336593492148}, { 1.9957562021944761`, 4.886798882417726}, {1.995881395834797, 4.8887706157065205`}, {1.9959328572719097`, 4.889594299287434}}], LineBox[{{0.003414505701098769, 4.9003808557299955`}, { 0.003926895446503668, 4.8918576959088655`}}], LineBox[{{0.0006134358411192535, 4.961912265358487}, { 0.0006134358411192535, 4.961912265358487}}], LineBox[{{1.9676892402150108`, 4.587464994417945}, { 1.967755017501798, 4.58804234719392}}], LineBox[{{0.0052024056505853, 4.872161629878583}, { 0.006055244663775441, 4.859902071495707}, {0.006055244663775441, 4.859902071495707}}], LineBox[{{0.0014494803728095128`, 4.938934254158318}, { 0.0021349490647419255`, 4.924030259708196}}], LineBox[{{0.03632065248869384, 4.552760967172578}, { 0.03941120618234885, 4.526612975144091}}]}, Annotation[#, "Charting`Private`Tag$2565#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 9.999712116189258}, { 4.081632653061224*^-8, 9.999712116189258}}], LineBox[CompressedData[" 1:eJwVkGk8lPsfhu0pZWtVluaZKFs6JVLy/RVFtpOKOicRlaNU5DgUOpbsCdXQ ZMsaskwyxhB+Kgc5mJRUKjQcEc3zWEq2mX//F/fnfnG9uK/PTXP3PnRGQkxM jPEz/29dew9Nebl4yAguvJNzho6yVv4aFafCgG0VxtcHjOgoqP1Oo1MNA4yv IX/jrXTkFNkvQT+eDHWUa+ZNfTpa+u1SyOP0FHDXuc08uoGOLncxLo9p3IUn xlYddGU6crjdc85eKxOUO7b1MQQECpOt2Birkgcf3Q+pSjwgkI7lzZhHPnkw MD/J/CufQC8jvUfeN+dBess8bzSLQBsk9Yo3++eDR7GzXv8dAjUt5G3uenkf DlXmzQ5FEmjpZMp2jfgisFifFuXmTiDmx0DzSmEZhMYWxTxTJdCx37JZ1Dgb vAtuXn6eTENyojBnS3UMjqfXj7Fz1yNNB8Hws+uNsOTe2UmtqxoooMMEmFPP 4cql8Z3lTDW0mq3UKy7OAyrXvKnw4zrE4Zu38UxfAkf0t9Q96bXo6bmMdb+N dQHwp8OMdq9B37R2K5ReeAPqv3wuU7y7CknMFCuu0+wBXvd+T+U3K5CR6CTn cNkHWNBoWUMZL0dtEYYdTTp94BVs9vLPfCWkkTQ6UyToh7kVhmanRhXQ6HRf 7+stfDhzS1Hse8dSlPflcat8wgAkN+U2KAQuRvJqBeTg4CDsfeW2txlkUPzZ So+sDUNw91WVY42lJPqOigc9Qz5D0/1dHstUxZDf1kb2qmfDcC9gy3HBH7PQ V9Z4vZP2Bb7V1ZW6mU3B3LmuNO3AUWBJbTwPtWOgu2eR0OPxGFg6C574buWD ZQ7tj/LVAsADHJ0bMh1gyJTXalIVAGll3Bju3Q7rE+YGe2gCgKSkzn/ftsHs ldfuUnoCqAnTVztR8i+UOsS6HEUC8Jt3XJl19DksFx93XPAUQG/3mWg+boQ+ 1waLAzUCSJvwTDJproI2x1JJFywAerDPBQs2B7g2qU99GwWwOzfj7aWcSrhl 7IfSOwQwHRXdZRdeAfsUNpmSfAFYB71IS84ug+L6xG3JciSoLrGdd8XpwGQH TxQpkhC4wQ9HtTIh4sHZ8vqVJFgU9QrcPjDAJcXcYFiDBDW+n8GMdhwoXZzW 2WVIQkLqNcsecTccoOZKfHImIU46n5s3kondD25x+uD2k5s5N+gS2dj+mnjc Gw8SHFrib8m15mCtkdzxdh8SJqxYhwNl7+Mu9nBDTQQJ19fJtU7sKMENn6un KmNJYBSc+su3ohQXr72+qTyBBCwXKjLRYuHwUP2kAiYJZeo+obEzD/EWW19X RgkJaRfS49ISKrBqiPntxHISdvGci9habLzo0YrmOA4J70vT6V+4bNy7umpz WAMJnDwkY9RaiVutY9yD/yGh6POyayFWHFx59beUgFYS7B9+mrDGHJz1UKfV l0eCUYaPmvrmKhw/MLdwoYuEeINUmwBGFb68qv2Xs+9IUB/Vg47xKnzqQOaZ 070knH8ZOpy8j4vtg73vug6QYPCiWAESuXgnC7X/PkyCrXqhhmkHF2vxlcSd vpKQGCO7SUaiGiutHDB0mCBho8yeaUKnGs9bsj1tp0lw8to/qLu/Gg8HRqZb zpPAM3WJ6XKsxl+cdD2zxShws3L2pI5V45PUcgkNSQpubFKJ8v+1GnfHzqel S1MQ5H9DI9ykGtvQ/9u+VpaCxGUpvgdXV+OG2nbenSUUaC9TEe4a4WIjJ87Z lcso6CkM0uOwuLiEzJS8rUCB/p/DfsiLi4nY6AxFZQomV359c0aVi5mEj3HC CgpWXXOwqXxWheVrj3XKraZgQbHMsc6tCkc47vGKVaHAMaS5R3aag2cE2tKL VCngTFpOqUZw8MUY5XsR6hQEGlI5AYs5eJA2t0OCRoFxF6InRlfiF0fazi9o UmBq3VGX783G+wVsmaBNFBjlT4id66nAtdEZWT90KHjNilX1hwpcUHOxa9Lg 5950plXuTDn+e72S6RcTChT7vhdc9SrDU9Uzr/8wpSBOLbz/yVQJPneY7/2f GQUeDX73g/2LsWNURW6/OQVVBU+oktOFWG/MUe6NHQVvl0jtpk9lY+4RWxx3 8Kef+oNmCc0sbF6390+zwxQ41G1v0L2Xjn9PMHiff4wCC6P6ugeayTh2y+Ji v1MUbC00SHhX74+H/Gqtla9QUKxf0mY4kwpZC0ScXd7Pv6+UB+84zYXlCpRs 4ywF8gVhjdo3eSCF01j09HGo6X6+qLL9E3gZPn632GYCRicfJdVbfoXiA+5Z 9d8nYKfvGO9E+BR8G12rOJQyCUeEebe06LNQedhSkmExBeq29toCAzEUYhV5 jz00Bbp2L5gtWpKI9tH6bW7kN5jbN+UzoiKDdhpHMFS2focDz08MVB9bjJzV eTPir75DV6pd5+DZpehb6w2+T9g0FByLC/BvVkBMKRe/Qxt+wFT/9Zc4UAkt 763MkWj8AQ52kU93yi9H0lfDjphcmoF3dQ45X1tWILEiFxZfeRZ6c2vo4l6r kG8q64by01nwKnt1onr7GlSnGyOrdHEOnNn/ZDoIVZCSta9euPw8BHOHjwSX rUMf9F+8ulI7D3UnY2+J4tTQw0zYMOiyABdWm+39fFADnWAZKakJF6Av7HPW xfj1KDQyO+zDAyGE7/cJyomnoWUBi6zdSoXgu3bPXf8kGkr1vKA8xBKCsUfK DRsGDVXYmOSSbCE0yuZJ/EijoSGlzkYJLASfsVCX48U0ZJMpJqv9SgifzDOk 7VtpaFWVa8Jfc0Jgho3tmJYlUG7hP06zC0L4UbDNY3Qpgbak6mqEiIngdebI v/2KBDpwdZoVIy2CI9LSh3hrCBRsntiZpiACv25+y+NNBOLz6lc8pYsgfaqr pduKQKXDamnytiK41dKZi+IIFJMRebLXXgRRDCabn0Cg04e+apY5iKCt/b1z 9G0CqdbWPrQ7KgJlfdlHb9MJFJd4vCneXQQ9lnmWGSwCeRrdHV9yRQT3v9Yk 4tcEshgVq+oJEsGCe5cYo4dAGlmewQ/+FoGTkZnH+T4CdS/escg6QgQWhlpJ 2iME2vexWzU2UQSbpa4efzdPoOiAd9IvskXgUjKaF6NGR/8DsQuiew== "]], LineBox[{{1.9782805368779057`, 9.576292014112154}, { 1.9787207152144783`, 9.58275622033167}, {1.9787373661730594`, 9.583001189402085}}], LineBox[{{0.0030108407854104445`, 9.892376078842013}, { 0.003680410965082868, 9.877516137832176}, {0.004907201014668314, 9.852042536219962}, {0.005520596039461038, 9.839936553449645}, { 0.00613399106425376, 9.82815862914752}, {0.0064993113705575055`, 9.821279730289257}}], LineBox[{{1.9800128763771412`, 9.601866383795702}, { 1.9807799968889164`, 9.61331211652743}, {1.9835257057881674`, 9.65497416698419}, {1.98421213301298, 9.665580276184528}, { 1.9848985602377929`, 9.676272362821956}, {1.9862714146874185`, 9.697938522964193}, {1.9870007938086784`, 9.70961775482989}}], LineBox[{{1.9940018470218308`, 9.830741245283441}, { 1.9951949686099844`, 9.854094993741498}, {1.995881395834797, 9.86819292087512}, {1.9965678230596096`, 9.882930207813676}, { 1.9967957936989889`, 9.8879980721517}}], LineBox[{{0.0110579818347774, 9.741364463588466}, { 0.01226794131218099, 9.721457131389384}, {0.012417451027480158`, 9.719025404530045}}], LineBox[{{1.9921026341762598`, 9.79573625105898}, {1.992449259710733, 9.801965000050838}, {1.992726336817749, 9.806990855065493}}], LineBox[{{0.007360781113839206, 9.80540598872822}, { 0.007360781113839206, 9.80540598872822}}], LineBox[{{0.0007605691408016996, 9.953402035035154}, { 0.0014028610741234132`, 9.933027332556621}}], LineBox[{{1.9898585528143742`, 9.756742069491871}, { 1.990389978036295, 9.765791155721368}, {1.990827123972178, 9.773315077409297}}], LineBox[{{1.9983017898491244`, 9.924772946641887}, { 1.9983017898491244`, 9.924772946641887}}], LineBox[{{0.0018402258907046993`, 9.92096947507125}, { 0.0018402258907046993`, 9.92096947507125}}], LineBox[{{1.9994970648041506`, 9.963260137583521}, { 1.9999999591836735`, 9.999712116189258}}]}, Annotation[#, "Charting`Private`Tag$2565#5"]& ], {}}, {{}, {}, {}, {}, {}, {}, \ {}}}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.5, 0.99}], ImageScaled[{0.5, 1}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"F(U,\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\))\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {4., FormBox["4", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {6., FormBox["6", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {8., FormBox["8", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {-1, 10}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVkms4lAkbgBkSQsvW1pBQE+3uJCEqjadCu6VITiVJRorty7BCJMsihxDG KTk2hHKoDDromcyQnHLaT0po0piZ942sU31b2b4f93X/vq/r1vPyP3yKIiMj c+Eb//f+U+JenuSUpc8Th2c7rz6DY8pZow9lt0FZgpasoagV5K00WaNUa6g6 3WQvo9kCH+KFjy1z94N/vslBvUgBmBTmXL9HdYJFbe8Z6Q4+yMwGq0GaG7SF bqkeOdgM42toUSH6HsAU/t2d0P4E/I/13W5kMeEoS3fB6REPbLsG7+ZTvUH6 0dHlUgYPTtGYRdboA7xJvsEMhQe0K9qlizq+4Nqy77UZBeHzfmb2Sf1zIJBO f01Sb4LQpk2qXncDYXrnvl6NzAfg6r3QlE4NAnpiaXVUwX0QWGk28K8HQ43q Srq5WiNY5XS5e3WFwoxWWscXfj0YrWfUzupcgPBn3Fy3jHpI3MxX7ZEPg3Ty 6aexlfVgnlITpll0ET5l/o+uUF4HisLoEhf9S2BSyVLS6LsH9SeH0r53j4aW 2Fg764Ja+MHsslUyNQaW1lnsmR6sgjZ7K+MwjVhIbkpYiKDeBnbhat6GY7Fg yz9rvzH7FhSF0O4kNsaB90qehfe2ChAucOb2ayXArLXWLzE7SqE1kO+QEJQA zzuzXWRrOJBSpbHRQT8FHp+PXrcar0HRSvu4RCob0mTsW88bOmBjVqv8Bk82 XOSye0+ImRjelS1wecCGk8eNmXWGAegSO0ZZfywTgtYnrro8FoGhct4dZ8oz QUg1rfQko1BlLiDy4fUsiPNrbfZ0T8KsWkpW0PocWE3kpa94z0bZYaOY9rs5 oHrJvysxMxtDB9ihpE4uFEXnxxTn5aJXT9YtyfJrYLFJg3oa89Eh46WfnX4B +JTvslstuomt96+5LbUpgRfx8sLprXcxSvGeQQKVA6v01IvXd3KR4nrgRt0m Dtio+dKHPnDxxb0jKQ9+54D3ox2XLVn12BfrL3n1lAN8ZS+1FYoNSJOj3zIM LoVVjG6ffstGbP3CMRzoK4Pw+fiNNfkPUGUma6vOlQoYrmqqiNJHzHkdZsX9 Wg0XXdft7Ofzcfeao5wR5xrYM7mY+IecAKVu5ksUq2rgV687Z/v2CHAteYFZ takW9v52M86XJ0B/X7MNMsO1cPmEmXdiQwtqeNeUl267C/LakfZlWU/xyNHi mg/TdZDYsf+Qt04HTr1yUi7R5ILRkdzBrYc7MM5D8ZSjFRfkwpqc+2M68B7T X7OezYUZUeyZIEkHqp1jxIabf/tu3rfxeG0ntkQPuSlENAAzzuGVxdZuNL6t rrBG8QE0eUSWUVN7cNlilPsvaxG2T2srme/qxxxfVw/6XgS9ZV3PbJ36kTZA 91Q/h5Bk3Lj28Jl+tKwYZL5qQijoS5eYXO3H+xVZ3AZDHhQWlNTajfbje0fy kW03D6rOG16aCxtA5/Lsjt9Vm2GLjZFjQflfuMFhUsxPEkByXdii25tBZFTW f+iwboNXAaaB/7x4iSHd2yFn9hlg/Dttgy3DuKpOfURW9jnQclwLgxtHsV5o 1fl8Zx8cirZ3skh9g81++VpHyQHYXCZRfqzyFuf0Gcur/jMI8gy9NwMHx5Hy 6dZ3WhtewjvRu8N18e9QqXlWYVXxMFQELNH4KVmEZoue9Y7VwxAsmn+dmS7C zhjT7tafRkG9cOopI3ICda4Snyomx2DwDXz8+bQYiYXRkb+MhHC9gMlo+1GC HOnDdrWUt7DyJK3fWSRBNe2bU+Pj47BvieX98QQpXvHl+hTRRFDIXkqR+Y7A +V23xs9ETsD2uTCF5SkEPuIQeSExE5Bms5HBSyUwWpHuGJcwAcuU6ExWGoFq Pbef3MiYAF3FioguNoH6J6oLRm5OwBu/9KmwPAJdIu4cceqZAJ/SwtGScgK5 9xs6QU8MQ2MVNQbNBAYZC+p+4ItByWboofLfBPqY6haltYkhPblYL3uGwCNm F5NUusUgremzWzdHoMUOUy/KkBiOdr9dNP1IIGUPZ/nkpBjEJhK0/UpgqkOM X4umBIQszx5LZRIrWda6QYESYLONZi30SLweWLRsKkQCwyy7iOJ1JCYHfZ73 jZDAztjdvUtoJLJC67pOxEtgkKP6sl2fRPM/aOG2BRIQyMoH7qWTKEiV/++6 dgnYJln1ypmTOFotSOrVkwKFGTKfbUtiz3t50thACje2OzN6D5DIo9scYNOl 0LVxxXElOxKLKltUXM2loN2ZYBB8iESvstbk4QNSiD9dIN3tTKIovy11IkQK V0sDLUo8SHx/pTPjS5cUFpdYZsSxSBzpUJn16JeC+vR57bwAEruVDzrxXkih Z17hz+pAEqvju1b8+VYKo79FjPUGfeuJ6c5U/CQFueF6kfIFEmfDe7K/pxGQ OyzdvDeKxH/8BvJ+DCPgc4D7JuFVEp3MjqcZRhJgfqx8S3MaibdlRXEmMQTs raZuL04n0SNnIYCRQgBjW6GDO5vEJy2avzqUEPDzNLuyNZvEy7onZ0PbCXB6 N6VwtoDESwvCkr4XBNgztj15VETiv+Ux6p8= "]], Line[CompressedData[" 1:eJwV1ns4VdkbB/CDQjS5xM9vikqi00VKZKYx55VLZyRGhThNmmEKkyGXNCqZ GnIdhRIVQiXRhSREm1IzzpCiybg0ilzSOnuvfSJdXObtj/3s5/M869l7v3ut 9X6XoU/w5p2KAoHgFF6f7oJja9Id+l6D+jiI/fIJ0xA4ZdW6iEBQx4X6yBLC RChpGXWvILDEKL1j9AphOlZavOdsCUxrO2Pbe50wuUn7L+jtJjAr+IBicgVh lq1Tmdx1G8ev0og2qifM9cvFi/+pI0BYJ9NWtIWO6ybHBwROSyJvRt8ljPVg 5vlljwnM3962pf0eYVx+X+pEBwiUH7vd+MsDwoR2OGdGassg5P7Tgpi/CPPW Vl4/rCcDj2LR2wVNhDlQkvF6m4EMPhTbGtWgY6J7RCKhDCzniT/jmgmTYRzS ryiSwVYPj4XiR4SpCjlhnhwgA+Nm3rPuCWFEXV98NxEkgyXOF702/E2Yu/bP YoPCZbB6f4plG1qqZ9LhGi0DfS2D6BdPCdNdeyta96QMlPyMJfQfwgjUuppy 6mTwfbqFVXs3YcT5hn6leiwMmfbfa+zDejNnmTzQZ8Ej5VK88CVhFqR8fNlp yILdbqVvj6I/RP7tM205C9P3nngu6ifMlU0J3lttWFDOKtM7P0CY2Qq8+4Q/ Cz/7m3SKXuH7xp7paAex8MrtZvXvaEKkbSZhLOTkCbO70A/+Ob/JNYoF35xm v/BhwkRe93QuSGWhtv2ozunXhOnZUWfvWM3CV2qWLTdlhGlyv6LkzbAgt5a3 jKArnU7fDW1godO3tdWcJUyaVbjN2YcsiNfN6ClGO2gIrbleFo5Ov6qVxhHG fLruR6UhFoxVnxs1oud9VKj+v4yFsBGXL6bQ7wa6rGzHWGjYx/n5U8IU3zm2 +qQ6B7+kJvWu4AmTWX5QXqTJQX3JqLI3OuZyQOkdXQ7KDG6YJqO9M+zMhuZz 4LrU/Eg/WitobOlXFhxsmYgRJ8sJM+n78tW3X3IQZfXw0A30sNfjSz+KOAgo iarsQDc4FJukfMPB8St6q43eEGafwY6FL77jIEwa7HAZ7eO60qP7Bw6sfexH /0S7/KaQ2L6LA8PKn0oH0CavCvjmPRxM6ytzmT9CGG39vcaNezkYq2o3W4ue cFnv1bCfg7eb3Qzc0E/Kh+qqYzjws5EYxKLrBqtGbiZwYGA2YHYWXTwnSVia wsFOnRaXMvSRX02PF2ZyUOpfU9qFDroxeS8/mwNPtXujLNproGUsO5+DJyrL 1iuMEmblxtAdJ0o4EMoWzjRC60fbpR8r5UDzXPlhc7RKmc4fiRUcsPbFSuvQ 8pf9H2JvcyA/p5Lmgv5X79aKw3X4/EDp8m1o6YZ4n4P3Odi9eaRtF/pmlFfG PikHSXxsXAj63PWl0tAWDpZ0RYsPoJP7Pk78/ISDO+m9s2PQv/yveVVABwc9 aVdJEtrXMWfnj/9yYGr38nEa2uVgcNaOPg4kijH3MtFrr9k0S4Y4WGaYUp+N NunVUvCQcRDZp9iUh9bS7bPYJOfA5Nfe3vPocXG5/8YxDiwMTZUL0UP7Y8+K xzm42tdreQk97LHMP09AobRdKfSTv6ezFecrUfhZcLz60/inCeNnzk6nIHSL 07iIdjLqt5yjSsGq5tWeAnRdTXPLKTUKAt1b/+ai13hUBOh+RmHSlPM8gy7h cpTSNSjUNKb2nEQvTIjL1tSm0J6dE3oMnblwj1WKDo7frKsdj55V4/lYXY/C SMxobTQ6xn3d7oTPKSTeFUVEoN+zS6ar6FPI+52uDUQHxWvnxsyjsHKb2swf 0C8NP36haEjh6/SkV27oR25NgRPGFMzz6xu/RK9ny5UPCCnsU93btBRdE5d9 7t1SCtxYctccdGF10JM3ZhQ6FQfnvcP1o++2NSjEnILh+sVb+tFpMlDlLCis 9/kz/TH60AIt6+EvKfgPCNcWokeq3v/tZ03h4qyB3OPon7b0BveLKNgdn9KK RLsfvVHw3I5CdqrtXDF6OXFXb3emAO699e24XyrdNjKJrhQ0V91nK9B2tbZh oi0UKie7x0+gJSlmXRc8KXT15Nc4oxNWzigO96VwsFssLcX9qpM15S3cRWFg ME0Qjz6n8Fa725+CnnxKbzu6srV3v10QBZvVlsNK6IHwmg3akRRqpTVz7bE/ hD4rm7x/gMLOkj8lWugJh6KyyEM4v5/37H+G/UdHL2POi98oOB2Z5x2KtqsK Hr6WQqFwWfz1FOxX5yYWJjqfp1Cw/NHhVOyHy3d9LlIoxP+3ub1lI/rWQw15 eRHWk1QyqYx+mDvupX+NQmD+tcl9BN+37umS11VYj2VW3Ebst5KjCY3xLTjf nQ2VzBB+LxsdZd1KQZq7TysAHbI1YhV9QmFDa9EGLXS80DdrayfaPcLbe5Aw FVLrAJN+ChWXNNVfYz7M1qCqDR8oeDXqhD3sJUxrbWKc4wSFdyE+7YHotEBj 5ZYpChEZ4zZqaG2pRKlzGg/rTgkW2b5Ax96f4Gbx4G1TIrzYQxjNj6flc414 OLkgcTFgfj0qsgzJM+ahzvnts+Yuwhz3fMSZCHlQyNuUtQ2tUTFdtsqUhw9h NfPCO3G9h+wZFFvxIGu46puFeThz0KE7zImHv0bWPCrHfG06+Vzy3pmH3+4e bl2NTrY/0HHIlQeDRa4dpW2EUc+//jTBnYfUPyQjl1sJo7Z97uPcHTxo7pLs SMW8Vm2j9/8K42HWop8UzTDfpzFnrhmd5SFKVcXhCp4fOq3tv+nJ4UFdIHWc wvPFtWry/HQeD0OJb4xd0ZKKr7W1C3k4ar3xR5YhTOmVnnBBGQ9rbjeN6ddi vpw1WvvsDx4e5CUF297C9RVZ3JDxhofYBQ8cr14mTMrYlu2b3/JAow4adRVh f9s7PvrZex6qGEGbctGn+p0Xx07y0Lpp7Q1JIWF2+nMJYTPk0HXhecRIAZ4X VHari2bKIU68TTwb/R8gJXH0 "]], Line[CompressedData[" 1:eJwVknk81HkYxydydYyM7iXLGtWqWEuReLZCzgqVKFd02ZBJiYQuyYpJg5JE ju1QslFEPeNIqbaGUY5QpEEzk5pxa37fnf3jeT2v9+v1/uN5Pq+P7q5Qt90K NBotXD7/72w+51SEhgRCeiqig3JF+KdpZZuakwQYtrW5yski5PLeFpW7SOCQ xv58xnkRzgn+Frt3swT2WLw4o50kQixgGjzdKoHy/Jheo0QRas5js+L8JMBN FqpviBdh5Xjg9NHDEvC8ETwLYkQ4HelWvTkSqH996I+twSK87bAr58mIBA6r /7R9rr0ITZfpWsO4BOJXprd+tRPhE/rH9zgpAeECb896WxHy+N7zqmlSOGuV sIO1XoRD3p7JtdOkkLpkr98TaxFaszZHP18khVuWhTsNzOR+pvX2JjspNBvv yTbTFeGwcOEsQboU0keaFV1GhMi52vcs67IU/l1PkuuHhPj7ptJY9ywp6Bjk 9VlLhRj2j8sgN1cK2j4C2rJvQhQfjXt9pUgKjYGWvNEBIX5WEiS51kjBzavh +dZOIb7VKVF7LJZCm/+Hzb/WCrHMfYMix2YIEpPWt6z4S4ix9meulQqGwPdz 6PQjc4So2+nYmndmGI5zmnK+s7/g6lWnOQtMRsCHDKU5iQdw56I341P4I9BU ebrNaO0ADr8433PwxCiE7uGOeBzsx0tTfcLd9MfgN2PNnmUZfajZVXZdoW4M dF7s16QXCbB7r3NMRcsYLFbYwBj7S4BKx09ssQgbB7+Ggt/1Uz8j7aZPcQ9j AtItFrftDu1FVmbxeUbNBHy6zDxUxviEjw0TVDVCJuFVo+3za2ndqOHIWnaS /gMU9rWGVah9xI7lPH5k1Q84WapFRW3swINh7v39oz8g88MjteZ37XgvG/R7 fWQgvRDPHHRqRWmUVMXfXwaT2stsZ1u24kqPv4WdATKoMSmvNPq1FSvV1e+3 7JOBw6uj0Q6qrVgf17X2JUvu7/v4VbmuBd/vOu77T7wMyo58tMm2aEHlxZWZ cXdlUHx+3KlT6x16F6/U0KZkkDD+PYXO5eMDrzE6j0aBcluhaf4tPtKVH804 pUiBzeCag0vT+MjdaaU6oEpBFFH+TSGIj3rTbEipJgUB3bWBAww+CgJdxc5L KXBm+50I82/CkIUHGqK3UMBJ+9yx+xsP658uf2bkQQFzil33zVYe6oQN1vV4 UmBx9eW9Vi4Pec9YXHtfCi7Ms/k6zOahyeHIh7ODKFhhv8d/qTEPR9/EFxTF UjDuNpqV2Pwa487knui4RYFi30+pzhkvcWaEiqP/HQocrl4/ArtfYua+YIag mIIcZ3E8MXmJ950s8gZLKXiaESHr/fcFCjQa6xSQAnaKeajZlBfolE1TXcqn YIbvYotA7+c496Fv8uFJCo4xBq/T+uow78bTbRMy+T+qea9c7tShcaahTiyN wP7wgbFNh+rQ4fhocYISgUXdATNDqVqMXp/SeEWdwHENi8SxWbXY8+bJ7Jpf CGgf6NbQM6jGO/3aV+jOBCLTZ2xXn/EIE66e8evaSGBEuHra/IMVGOgmZt51 JTB1RdrPXU3lqFVVdc/Fg0BI3IX8U5yHmJiyoz5pFwGmCT3XQaUMl1T5T0yL JJAUoY7GNsVoI6Q9bD9GwFE700rr/R1MXRf357kYAl63vy/ojynCd2rmKo6n CcQJczdqJtxE2853WudSCBxdXa8fczYPUwxeTTvEIXA7eDwluSQHG8QxQwZp BJxVLS0qHXJQ7/Rse5VCAgp+tL55JolImUfPbLlBYMW590N6tqcws2+NleJt ApdcDOdP3DyG9AWO3tvkHBh7l9mmFoVJyhUNXkUEhvXjOGbvw5Htcd/broSA u43mhstXXCEqM1IjS8526Q6rWF3bQbU0zPl0lfxeZoFghgcbHPszeuc/ITAk trRYm5EK7R8qzLciARbL06vakwMPOLqUfg2Bwv3aW1aGXYIPc6WrUp7J89gx 60G8cw5EbbLqo/PkfmBlQoLp39DRmJKtyCdQ9e2bKPzKTRhfIjRqk/Mbg/D2 jdtuQXn8aAD/LQG9TZNiI40iyJZJnjJaCciCpcOHF9wFjqXv0jw5B8SK5ypl 3YVcfkDclw4Cm2pyDMe2l4BTwYrSdV0Etv7BMd0oKwEDr/RIRjcBNivC0Dzo PiioU9Y9n+R55lUVfukrhaCkn2XnBghU6xSFtTPLIbYyt0ZLSOBhd36ajl4F 1LhfPFkk52uuHSVLoisgfblZiqtI3qeF+6ee+1QBYT1ZW3QHCTCK1S5GPKsE j2uxrqLvBJq+aw6KGx/DEucDH7hDBMrmxK9Um8mFvcyF7JAReb/W2bEvNnJh 6pTmfPYoAZ+Qbax126rhY5llkN+EvB+vE82ZHTUQnrVB4D5JYEuBu9KNs7VQ FZRnZCwjkGwosFncUgcZOtOHCSGwp9q1YQ27Af4DKGzhQQ== "]]}, "Charting`Private`Tag$2565#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVy304FAYAx3GOmSfvluqO8jTntjbkobEpfq2jlpqbZt7XE+dU8paEEYWO 0DwrnCvnJZ1qXvN2xMOZw0juYp7kLffgONyLyssqau2P7/P567s7MOIEg6Ci ovL9x/7XlSEd7FhgOBV0MVoebCrht4U11ar6Lax16Y3tPymhTiVFThGd8XY+ QLh1QoHla9PtTrdc8UNrQbl+gwK2xWxOPdEDI6KbOHZKAZWVGF3c8IXWJw5z UZ8rMGtCTo6lnMTcvTHaXhUFIvyGKpsj6djYJI2bP5Lj2MBIXSExCHX5Qu+z 1XIwyPQSZ34wHFrIPXuuyUG+vrPsg+lZkDbW9YUMOTZc6fkBlHBUbEpqeGZy xLVZ6gTWRUGLmskJEMrgFbTedpMYjeYaJ/mJKhm6qKQmAScGocNGlKOxMlDZ A/6BA3GwmhHHMV1lsDZzfLhi+huM3qUUyakyZO4V6DxVj8dFp0GvIRsZ7LNr 4kkll3Doa+X5lyoyaE6nlHpSktA3p7W7Z2YJvIDRG5/5p4C9v69jImoJ2+zS qb8Tr8LTK3xdy34JvTSqTbwhE/tS1wZ1dywht3hHh7kfE9xi6RhBbwklseTa zOY0uMVanu6cXcT0OnfV1TgDGudCYj0KF9ETJXDPiM7A4c6DguScRWRXGX7p TslG8vFa22q9RZQY0dIyibl4Pii4TDdYQDOrR938VC6C6GaMX9QXkDCQ3+XZ kgvFUQvl/ddSeDLFBDO/PBArvT1oz6SIUwvqP/MgD0+IBxhxvVJor56/3Mph gb0R5sDjSMF6SGBFm7HxxneJRvGRQnXC+urjOjYsD7v4/nrw4z+cGyczvYXG tcTIJEspAp+yKhb0bmO7e/erJA0p3HPGQtwoRcgJ3WV30X8ePY9u+37qUorI LMsX+0LnkKxZ/0UGkQtDTtvWvGkJCF7H7zZYctFknh6oNinB83rv7JYLXNjp cD1q+iQYYkYsjP/NhcMzk51FdRKQ1SwqrGLKIKoV6dFSJejZ5FoND92DrUZL cSZFAu3XrG9Mr/8Jw4H2H+svzII9GU9tfF+NyXKkBpNn4O1zp2b5ZQOuvK0k hvWKoRz32FJKakRQt3vHRJMYaSc1GT9TGyF5t9bhc1+MenoEiZfbiJhqb2pC mhi64Y7MBHselKV/5Hm7iNGdMuqrkdgEEu3ukb8yp2BTaaBhotmCUY8sje6C SWh9SPY/sosPt9MWa6XrozB3V0gFWV04Z1GhxUz+B47lvOV+515UG17qng4W Ilb4HdgrfbCbEO7Zf+UxtjcYvFBVFeFD4uRUej8fvGnqE9GBIWzqc1p1GWXo DCk09pENgzRZICIMlPBXKY56VWEjeC9hmAleNfMJbyr0jc3H4Pzv4PqZoS5+ 2ld3tnFZEyiaVxZpD/bz/wPyvwD2 "]], Line[CompressedData[" 1:eJwV13k4VN0fAHBLu5eypZQKJbRJpIRvWUqhaLNUKturkr2UlAqVJaUiiQiJ RlGWhBz7W7Jnyc69tma7d4YwiX7n98c883yeO8+ce879blfRweOws4iQkFAd /vz/O8LWdDKU0Q2idg0rGhbVotpgrfpq9T5gnP88FWfbhFY/ZAkyuP0Q/Ofz 4OLsFsSa7Ott1SDgR9+HrPlR7SiVWVQjEUnChuUnFBd6dCIJhdfU4OAgOF3z Glk2240izuW5JK0dhh6WgQJ3XR+a2M0YdA0cAd0805jjCf3IV7Myd2nFKHRp uHRvuzyAXLTWJEV9GYW2ZFdG3NUBZLM9IPyf+lH42VKw7m/AANqlq+Ug0jEK x3sr5MuCBpCIYepiLncUZjYK/1GNGkAPrILPV8n/BO1q/b33GAPojafxGl/v nxA4z2/f7d4B1PeuMrxJkQkldxL/s9AnUCNnDltzPROai/P3Ld5NoNKNJuZP NjJBR1vBs96QQElvqv6x1mHCrTqjAhNTAjmkVd/vNmcCr2hIftkRAg0nfHkw 4scE5yUZjWauBOJE1D6eqWNCXLeiFvshgXq//TNu/50J3zhCgrOPCVS/yOJo 6Q8mjKm727ZGE+jdvTqZIJIJzEgbVm4cgTyD66MXCJiQka5pap1KoPFrjU+l 17LgOm9LhOpHAk2fb3mu5s+C349sPH93Eujo9lNRmwNZoFE7Scx0EyhTePjO tmAW0AZXtf/2Esg+dtJLP5IFOYs6r0wTBCqrkje1SmZBgLy8ZyeTQHfXnB2/ UsOCG1ulOrb+JpB0G8f8izwbQq3k7I3lSOT28rJh3Wo2fOu9sUV0OYkq3f7q NK9lQ83mnDYkT6LLopLK3ZvZIMbf90pzFYk6NLQElCEbysYe686uJVFiuP8r uQtsQMXNwps0SbRhz/xZlyI2MGYjOMMHSJT9hrH+Rykbzv/UvxdoTiItGUur /dVsqFSzjJA9SCK9kdjUDU1sqFBWa9hpRaKD99XN6GE2+IfnaDtak8i7wyL2 qhQHTLrDdHY6kmjCkF/GlONAj+C3froTia5lxrBOKHDAWnpHuowLiYID+wwM VDkQfqcsbciVRDHrvIZEDDiwLLzc0NWdRJ+8nmhGnOPAgPP5t9QVEhl07Tg5 486BZk/Dr1r+JCo37glx9+XAhS2FRn7XSFQjp9JhGciBwg0WR8avk6j788dA 2WgOGD70b6m/TSKhRV21L0o5cKrIduXcCBLtS1b8970cFzpybL/4xuP9xkqo VK/kwgWfRrNjCSRaEzk92KnIha6n4QHbXpDo99VWhzkbufDnydyh0UQSvbUK tbfezQW3C4m1OikkkhbmHZtx5ULU1rRa5wy83mSPjJQ7F54dKBRXfEMiNrvm u4oPF1xDlAQd2NU/Uq0sr3MhlWtUb5xJoqvZNhYpUVzgDGlfnH1Hor7Tpcb7 C7mQ4dZsJ5xLotpjb0XtERckyuQ2P8UuMIsr967kQoC2foZ6Hoke6fjujq/n QrxZQsyBfBKZLFbVowguOMwIHXAvIJHmXNlp0VEunAt5ZMPDXjUtXLiMwwUb p2lx708kmhru0jGc5IL8tx9uboUkYpQ82BYtRsHM27uTxsUkis0N4GcsoaA5 PXpnHnbwm3PvS2QpUNR5oqj8mUT2MUZbRldT8IgvICaxJd0n1XdpUWBZmqYa gkg06zj489BOCpa7+D4lsJm2TelOBhR8T3dn6JfieDZhqESaUjARHFXOxvZT OK00cJKCLkMzxuZyEjlYahzvPktBZI5Eox/2wSDhsHYXCp6ebssuwVb5mcKr 86RAslIjzaSCRFIrL637eokC7cmUwhDsmYN7bSv9KYg40R1Wgd2SO1paGEyB 1UVH+x2VJCod+TSeF0rB3KqYsx7YDPlw1feRFHQn26xJxb59c9PD17EU5Itb N86rIpF7zmxFcgIFTv4BZVrYtsMNkwnJ+Hw2irifwdYw9z79JJOCy7y5gmzs lYFGjx+8p+Clgld7K/b8DzL/heVTUFyx1GsKmz849DukiAKRSm7VsmoS9cp9 3HyrlIK4O7zW7dg1B+45BFRRkDkt9/Iwdt512xi/GgquPD+x3g07KVu9xruB Am+XfNcg7AhyeuZiCz7/ISXnWOwrS+u2nuugQFktfiUD23H/C2enXgrOflN4 UIR9MMDj2WmSAgEnpfgrtm7W7jq7UXx914ZXrdgqhKTwcQ4FCcPZpn3YkrKk lhWfAguG5uth7D/7cl3NJynIrntXysIe9Q+J3/eHgiz5tdFcbObxDa4vhWjo G4laS2GfoaVFVovScFt6yp2D3Rb653n8XBrC5lj7/sQ2Ux7Sll9Aw+M3WVok dmlxXcPTRTSMXBfN7sTefjz/nKw4Dd6BR4cbsDOpF6KPF9NQtuNVezm2Uujd hCVSNIwXTQXlYMcqeepEytCQn3KY9RJbotimSUyOBk3pj+KR2MHH9lwIXU6D UL46yw9bwFWbO38lDatKPwSdxna/J5UYvIqGFs7RdmPsQcXpHSKKNKQFyQ2v x248Wus2s44Gq+Tl2iP4ee7l5s67pkrDg5Oulyqwi+8mJE2p03Bj4JdnAvbr QveWsS00KATznh34f3wctXb30qRBWtLnPwXsRxxYQGnRILLPLpuL4+/GGkk9 5k4aCk7eyQ3FHv8kaP1Xj4abQ0TDEezzRwiPIQMaaNeWtBXYx+7kpPQb0eBx jXE3Fcf7RvYxsXYLvD6ncOlznC8FR81RmCX+f13JDnNso8+GPgZHaEh93kNP l5HILnJL1ysbGjas11Q8jB2qsZDh60jD4G7nu704f2We/bVXdaGhSExkyh87 SXhCqtuVhh9POktksAuaCX8jdxqu7Mg6tLuERMO+xQekrtKgH7Xmlh+uH949 H2arrtEwoNSYNluE89Mk48PVGzTEnHmnHIQtIxcjPxBEw+Xo68rBuB4ZffJg ZkXS8PCiHrjg+pU0oxRmkUpD4+zaBYwcvD+X5QbCr2nQ6+O/n4/9sX4xPzeD BgcN27yzH0hUn/jHdmUWDdenkr6Kv8fr7WlTY33C8Xhm1aa9uN7a3Qn9eq+B ho1HJxbuSMf3yw28rtdMg3Cmn+P51yTysr68lW6hIV0mZXlcGonuqTo+s+6k IcCpOZ6XSqL8Gr1zKkM0qI1nzrn1EveDxfSCyt94vc2y9xXjSNT8Oezu/hkc T8tE3XWf4efrtm5ew18aDOaKzrOKxfWqxk60cw4PIjwWnPSLwQ6pmqEkeMBM 5rxKf0SiJdNx/BXKPPhb+Lw/IYxE/4yYdPuY8WC7QPZ2C+6PtdH9dgILHuwV d3qf6ofz3/haxw1LHqQfEk70vkwiseTsttBjPKh4oZY/35dEi06taEo8zYN5 bSZdSz1ItOA7XfXNhwdWymd1v+J+PQc9z1KO50GUgKl2E/f/Tj1j074XPGiW FJP6ieeDrEJ2f9xLHlQ25Z46ZIbPL19fSuo1D36br1CUMSXR+7d9vkIfeKAq csvhxh7cH+KVdXv+48HmX0rKbdtwfFxlVMaM8cBOv2Zv9FISRU4eOXV4ggdS N6VPMGRwfbr055e4gAell1X6SqRwvnpZrA+ZxfcHhjt6JUjk7EqF+izkg09y 6M7Zefi8rLcdslzNBwvXj80VEwS6oFXUsdCMD2fOLNzl2oLnycbWzAILPhzX HAjWaSaQ7EU68F9LPnjldzrMaSQQerVOpeoYH+a/q+6O+YbnL7mH3jfP8OGw btT3F+UEKhI4iU1e4sMF8bh1u7IJJIYk9AeT+LA7plcpPZRAjP0OSSUTfOhH +9E5bQJpbVQ0AAEfPCOGtzVpEqhEor8LTfPBeNQgZbsGnne/n5IrExqDsw+d fabV8Xx5yjayYtEYSLSeJNzWEMjA2zLgy6oxOK2waw+1CP8+zsCmee8YfBjo 3OKL5+dfLPklwzFjwAiS73gQOIDyjuwTfWI8DkUG7aGbnvajQNOQxNzhceDb FN/J1+tDij0HfqSE/AL1ZpHQcvkepKsT/GS55gTE+vw6ER7WiU6uahAIf5+A lwXcAVFWO/pVc5/wvDUJ6om6e081t6DYOfa+h9dOQdjTTVRmdhOS7s1LFqmc grevAyr/Vtciods65Stbp6BcOd2xHb+//A9qfDK0 "]], Line[CompressedData[" 1:eJwV0mlQk3cQBvAoKocam3ghgwVUkFSttHjggY+14EGiFsRjQDwQqiKgKNZC ERDEgkbDCIoCxomJihWMlohFA8EUqkGnXJUaRAgBcvAmeBTBBvP+m37Y2fnN 82F3dtYj8mBI9EgGg8G11f9duX730i1tHyE/eJma1PRMwbi1Q6plW7C6qFqV IXuoOFwoPctWWhDxjU/Wtn0iRdWcbAdW/DCWNGf4Xv9dAlbQ4bkZzE/QtV/t aBNWoX1eY0uS/BM0v66NPMqpx6GETQbD0CfU+NQXW+P+xF0hZvXssKL45yBe prEZEdJFrOm0FV2n8xnb1qpREfaR2cigcegt54IyWg3mmIfjMu1oNG0zr1+R qUbNdn8HowONE+57b+6vVmOGUwCRTaThHByQkLewDbqoYDOPQ+N2pQv/u9mv EO8Sq0oJpTFCH7c/cdprpGeJTrT/QmMCI3xyiEiD8cfsg3aX0eDukvFu3tOg cF8cWyelcWqOs8BRqUE5d4n4jYzGYHhVzQetBjpWU+1IBQ159OKGQ55d4AoZ DpwWGjlLJfKJZV2Y8mDnuaPDNOIGF/Vwn2ohLqnbYrHSiOIcz7zQpoVP4Ry3 NAZBMvl8+XuTFuuOD0mzRxPEiO3H61jdSPlW0FQ0gUDS2+Gs2N4NbUP1JOVM Ap/Lr++kDHajzDC9iMkjOMsNZKmX9yL7Staujg0Evk7bNbLQXkSFmD3vBBPM 3difXBnbC1e5/O76rQQzRXn9K6/04rQg/A9+JEFg3czZ3zN08JbvtjglEVhr eVFujToEUIwHbT8RfJ068NVkSofzq9IP5KQSND7PbHUcrUero5990EkCFfvS kR/89Qh83eqaI7Dtn1I/drpUD4HXc6cj+bZ5rvzzvj16qMypA14XCBRuktBn lB4zTk5aa3+D4MOCSxK3awbQfinj/y4hGHIbu2Cl0oBC/XJ/u9sEzFF302Jf GcCcFhSxxeYV485cm99pgNrc3XzD5seXZ2hbtAbwx1SqwkoJ2AbdrNmUAblb yyNW3yOwE1jeHvA0IrkwiVVs8xdah4J8jhEOsgTeSTlBpEdD8sR7RgQZCnqc qwlyKWlgfp0RbZ2VfpsVBAJY6aIXRlTke9CzlATjNoQEqCxGdE75Z7HgCQEd 737+UkAfkjf665mNBF188WhBTR/amwRCuxaCqY/JkVKqD/96U/PVNo+o4DaU fuzDb6eG9rS8sN1T9vLx8akUhNb3deyXBE+FTxbmLaOQv2wnR2zz5nbOOlEA BVHLnvS+doIlgWH8Z3wK3OtfylZ1EHAk897/KKbgFXYxid1FcGOY5XvuBYWR E+gV2m6C8A2bPaocTYjhu1tzjAT339UG/pRsQtojkdKVIigrnpKcVWyCclNe RqnN8Y8+K7hdYsLFeQsFwSYCby9kCytMSNAWh3q8Ibg25lZqwZAJW6+mBZve ERxrFh4N8zfDmxfbWTNAMOgX49J92oy9ni658YO2/3ueXl5ebcaoEX9JcocI Et0ZZ+50maG5vyxml8WWq3Ywr6/pR2LxGt2mYYKL8tYBp8R+yGPE832sBD19 xqk99f0ocBv7gRCCotrohyXWN/gPFid9aw== "]]}, "Charting`Private`Tag$2565#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVxXtQ0wUAB3Be4Q6BIZC0gXHKNi0DERPmKX6DQV2jwxvgwLHjdIBXcTEE xAX54LHJc0qOMRARaaCBAQ15hDzjkafMB9ClEU+1IFGQgOG232/VH5/7bBWJ w+ItzMzM9v/n/7nxc4965+MPbukLCBsjTYi2UU7dNmdjk9pbMFVrghWHnjRF C0Kq12TU+QQTlnJnuw+WceGsXc5p4Zuw56qqopkWAfbcxln3nSaYraTZo1iA 7Kd3I5U2JjxzY2SeYsWAsXg498I6CXH0yM32pFj0NDpaToyQCNH+prlCi8Px qn2p72tJxDNiq4J6jkOzU3ehvZ0Eo3BLjcn9CzxfriYEtSSM3NjSY6xE1Psr u7RZJCRdnnYiTTLMfe3/kkWQiIzTdX1LSwUxWXC6LJDEAIfe1l+RBtn0xJAT kwRHpRWKtBL0vogsybYl4e3h37Ti/jWKeeyE5xQS+bv67R5apSM3qlOXYiLg J29Mp1d9g+HE/OAXTwlQZrOq+awz0D0r3/FolEDrsSfFTsIs/DrPJEcVBDb7 nucU0XLguMRVnUwhcOcQxyfdUYoCZk44RURAcfWdXma0FLJzrQuvhQS41LoD 3RUyuMQ4vlz+mEDVKcaP+e0yHDgSd8k1mMCsTr3Kdc3D3rrhn6+7ERhK7ufl pebhZNJ0hJ0LAfkPjjt4LDmElTLn0XtGVL19SJZPUyBmhs0bZBvRrhyyYh5V INmBN8nabUSGtnSA36GANd3GL2G7EXzptIVHdAlCtvX1BG42QmIZd+/zGyW4 P+nQwLQ3wnb1xNnbFUpEfRRz+MyKAcomC2Wqhwp1f3f7NQwbYP6Hd85djQoi W1WQU7cBkjGFZMG9DH1IyV7RGCB6qKyfp5aj86Xr5b7LBvAu/f5lKKsSmrHO 5XJfA4Z+KhdsCK4GxddpT3iNHpmU5u15NDWK9jHP0sP0sIj87LtbnmoYx0td m0P1eNwcJe9IUaPQ07lxNlCPEal4fvwXNWzk4QsDH+rBsPyg3iutBj76vol+ Fz2GCLXX2EgtQl6V7m+afAPbf5R73Qu/B/+rXMac+A1UE+mcFrIBDxLW37t2 ZR1RR641Lr2+hbHAyt2ddB0WxyNsqukt0NMrkwxUHWQxlPhwTguo8scpAW/p 0BwrprcqWvCgJODczOIa7BP9pRl+rWiMKxoVD65hMOuJwPp0GwRba8VtJ9bg c3OTtRulA1OSjG0X769ioylT+Mm7PdgwIhxcU66AyXs1118wADteaPWnR5fB zqA6/LnrDhLppTPUqSX8C/jC0HA= "]], Line[CompressedData[" 1:eJwVlXk8lPsXxxGX0lVG0uImFUoqiVQ/OUWuJnUvJWVJRYkKEbkUQ7jSok1S UWhPWbIkS0dlz1IYM89jTQwxM88zk7JFv+f+8X19X+9/zvmccz7n+9V28915 WE5GRuY9c/67LYh9n7Idq4DWs1tlWU+DRq5qh6xsA4iTczfrhAkhv9uytsGs EWSetPZevdYP744mz3cUNoOuXV7ibaoHvutunPHCmwcB367Frcn/DHKj6TPn 65CQ+m1up1JZG6z9dSB/V0Yb5C7ktrvwW6A2yri+Qr8TiEmd9cZ/fQKtK4Oj T8VdwPbhfv6mXwmDw50dXMNuYN1I2jqkUggPBopqVOK+QMSKsNknVW+Ayh+P qZ6eHsh+4f02rSEdL3rleaQsEUD/3Qe7dVLe4I9N6T2enD7wGEomPuRUYoBR We7s9/0QM5Ky8XJLPXZmlF34pD0AaRmLsne2NeJHkbzQSG8ArvQfeN7V34il Blbb4w0GIEb5abPH90ZMeVY+fY/pAHyv6Et0VmlCt0cVl9q2D0BHW6aHAJpQ kFx1uS9oALxjKvPPpDah6GLt9Ym6ARiTllbFuDbj+NHmO8tCBiEgL3ak/Q0X 7dfuu7qSMwixkt6GW1VcfC4r+HdN1CAkcg3u7GjkomvisN/GuEGQSfo2nNTL xbfl87bapQ3C1FZfI1K5BWMWHhz6p2YQukhffrVDC6q1iLZXzRPCubyCRQ6C FjyeesqiTksIFpqJSQpUC5Yd/2XauEQIVRuW7Ho+3IKnpqgublspBD9W275O JR4ShsajlIUQwjrLN7bq8/DehZCHGseEYLnBL2+JNw+Xb1ac9CgSwpRIacen AR5mPUvX45cKwdM1pnNSykPjWbZ27AohZLxflrpwnIdmfYkPln8SgnWOtZWF Mh//uqRvQwuEIL8nVGtCn4/+xI7EYJYIUusmw9iefPxhIX07oCEC9uGvnDe+ fDz9PGHQ+Q8RJH+xzNcL4mMUp9PcfKkILta+vdcSzccEHb9eOXMRyHodPf4w jY+v/eKNLnqJgDW1cfYvgo/mretcJnxE4H3Fxzyni4/vtrRH+wSIILx45nTn Pj7WaOgSthwRbMhiB0YP8bGt5BVH/YYIHM5mnN2iQqDMtNbau6UiuBW5/b47 EGidpn0kW0MMqpsfre67SaBxoopuhaYYIMfk4ZMkAhfGjfeQ2mJIb2O7uKYS OBbMdZM3EMPX32cEP3pG4Au7WNc9m8RQ0TP07EkxgWqykt0TnmKYZL0b8elg 8g23z2L5iEHC7fP26yZQKKxp0j0phlSVg4VHBARW8B/Y2YaKYemsWFwlJjA4 a++O+1fFoFdZXmUwQWDn/tIt7EIxrFIs8uXOIbF294sprigGQXi7N0uTxAKb 2+/8y8QQMqfzs4UWiddMAzYl1YuhuVhZPUyHRKsZS82objFkW+xX2beaRCMF 9fEp/WIoZx/WNjEmccG4bOEckRgC2MocGVMSRwStphbDTDyiTcHPjMT0N5fX 3FCmYC9H61XBnyQm5p6RPp1JQYm1cbw+m8SoZ17Zb9QpeCc398ZlGxJdEyxX 9WtRoFPkRBvZkqjqM6z/P2MK1B2CrnfsJXHSvefr3+spWJmxXv2rE4kDjp+e HDKnoMdwLFHgQmKZVbpu3FYKBmJ0bhYeIDHoj/2LPrtQEM3qVqw4QqKbraFD 20EK5IpqNA94kfhXpOx5ngcF6wq/3BIdJVH3631J3QkKmpXp0m5vElmagTrV gRRcqYLD23xJnPjrT8eyEAocpgd7PDxBYnNuf2lhFAWDuk6BJidJLO17PZQX S8Hf/8wKOxrA1D/vwtLsOArsbrYT1wJJPBu+4srjRApCwt9GlASR6JMz+T4t mQL/wafV+A+JjoKG4eQ0CqY9N3PJCybRcLv//vjnFARRck4hp0nU5Fhev5xN gSj5/Vv2GRIVX86qPJ9PQcEatvf0UBKlPb1j0UUUhLM0nN8x3KHxamVEKQXp mtWxx8JIrNl2zu1MOQXL69RGFDkk5oU6JgTVUJCzo+zBTYZTsvRr/Bso2HKh NG5eOIkXv4xPeDdToM9WzLvC8D+z61Z7ERRYGWXNHmPYnX338KEOCrL6B186 RDD9PON7a/8XCsrV5GMfMbwhc1OdUz8FnsedE78yrNutKusgouBlpXeX1llm vupfjO2kFLRpfTzAZvinda7n9mEKOHcM53ow3B8SnWT9kwK96w5TTzE84LDc M1WGhgU3Fq0OZvgArSanNYWGpCNxV3wZbon9eSdJgYYVU1/oOTJss7jXZJ4S DQczn/0wYbi0uK7h5jQauO9rJxQYXuuQ76X+Ow3hnX4bqxl9z6m7U67PoMGs TDWfw/Ci2JjkmSwa3thv9FzGcOKiE6Zxs2h4ff6ufQVTv0rx3k/KGjR4Hhs5 7cBw1O7Nx2Ln0nBoTLeTYPo5Kl6moKhJQ5W+FseWYZ9zrHtRC2h4VS92KWTm 0aM9vk5OmwaT6OJgDYY/2tcen9ChQXWlZ2A6M98/xbm/nV5KQ/0DlT3dzPyL Y5JTRvQZfYpbQqcz/LjQp/nbKhqq9UaTNzB+0bTf4+NnREOUoXySOeOnayJQ ooxp0AvL7TVh/Ba2UNVsYD0Ns2cuPjTJ+HPo9Sj3iBkNLx8uT25g/Ht0V7dv rzkN01u99eP9Sdz9b879LksaqD0mNsOM/w2Eu5V5O2i47TQk0mH2pcB+O563 paGxYL6pryeJliUWJ8130dCxD7KeepDoFLeq9eFeGi79PGghdSMx1nBqeoA7 Dc6rBM6NzP7OuvXLdakHo+/4wK2HzH6nyP5gtXnSQP6Rp3/UgYnf2B1i6UOD O6G9t9KOREFA8TZWMNP/S4ITjdYk+re/nCw/TQOmCBoNrZj9tHr6MjiMBitN 7+xwCya+RsK8z5E0rPXjjQ0x75Hla9+BzDimf/E/3A2Z9yxlYtH5HQ9o2JZy TnZkNlOfx1xz2cc0RDp1KvqpkfiqfoY09ykNoXImdOsMEuvv/XTUzKRhYfnv kTFKTL7NLcsGX9NwJyg3ZO0ogU7/xlafa6Bh9RIXozEegQIxJ9Ss8T/9btXx TQT67Tm1mm6m4WZmQqF2A4Hnlrrf2kPSYH4i6gOrgsD8GjMv3V4aOCWjsTtz mP9gBq1UNkZD3JzrmX9fILCx5HwMe4IGOYNn6d7/EnjtuM5vDb9oOPz3wnXh EQSyapymkPISODZPYUFkEMPR5ROUigT6O7M/y7gTOHP8tnT+YglEahwJ7DYl cHqfVdtJGwlYf7xe4sv8j7U3upxGd0ggK0QmYkUTHy9uOU2E2UrglV59QVct H5XTslpid0tgp6VZml4pH6ftm//p3n4JZBQPLFn3iI9KTXT5h5MSsI0wX3r0 BB/l8U7m4iQJ6MxPSLKc4CFptmVr510JuG2qqpv/nYeZhcKu26mM3uKPD/qF PHTK38hiPZaAs8bUIwfaeJj9ojNA5qUEbILNVlQX8tA1afGG9koJdF99ZBwT yMOC4PSyhG8SWPH7E3equwWPGRcRU22k8GdfPmvZPS6WfuQ+L9ghBf8M9ruk eC6qe9OcI7ZSKLpasl/xPBfxoY5u+W4pCOWbQ98GcFFN44p/+AEpTHj1DVez uVg0ekh5OFAKHM9r9qulzaiMKht7UqRAOmvkRZo1YzrbLeXNDykklV0V+BY0 4vfBeTMFCd/A5uRnjqNeA+btsp4Sv2UI5iittp0WUYmcrdH3cgVD8CFPIQ3s EbXbt/HvR3+H3B616oXRL3CDaVT8XKMfYJR64sNI71VwWdAwKtv0A2zc5pqt u/AKvtdc6j4RMQyl0re8RzkVkCjvGrBzyQi4zlrbm1f4EdQ68tLkykbA5tHl DBXLFlAIjbBf7zcKvckaXyIut4HMU9fMbtYYEEWNFqf3fQb/25mXWO/GQCA5 PZja1QMly88pqfqMw+yA47YHI/tBdZu/wVmVn2AxJ/JYu4YQ2lZ8bAou/gmx Fk+Uz8+n4fIFc4Pt33+CbajFTAHj+/8DQy2s7w== "]], Line[CompressedData[" 1:eJwV0n001XccB/CLNk/R4eiejFsI00ycjdKMt0nMU0UhHHFjhPVwT92zSR5q UeR0ba6HyYhrjqM8NOZhlLlo62HzFMoxpMJCD54u9/5+3+/u/vic93n98fm8 //mYHjsV8JUqh8NxUc7/6R98vCJdzqC22b6pYfItwut26fEIC6GDuvadsGWk pZddGKsmGLPT/ChIRQadb9S9+TUEj6INjZa0ZSg6fkJ/uo7gb+7pqnyuDA0+ eyRvGgkquzaPv7OWYVqvv1u1g2ClT79BHiSDTwlHY8cgAa+UaxlbKwO3OeKa UEHwp0qLh0/UGiRVPUFyliDpKD/+5ck12BVZb0vlUFwws7LPPLcGr2RZ3ZX3 KDpD3Nxff7+G83tF/dc3UZxIjTvwSecapnrvGki3UxT8uI/bY7qOmlnedV1f iq6BgvlT8+u48lN65Ph+iu5dzdYminVEByxY1PpT2Js0rLzQlMO4vb3eL5hi oN7TsPZDObJEYfeyj1Gclg75+0XLYdXOl2slKn1ZIPaeksN9jtM8mkTR68p3 zlqU4we3tITMFIoQW/GilaoCw5qO6t6XKAIGrJ20zBXY98+wcaaIokJ/a8Ry rAIiy0daZ8QUromfDYdcVuD+QsqyZR6F2bem/JGrCphdMvhSvZKCTW59clOm AHE8rzNSRRFsE9j2nRaDopnPndVuKvtup8/AkIGuoXd4kNIBEteaM0YMni48 H6hUWmVVeDSPxyD7/db7obcodr/V1BaYMcgJbgj3uK3cl+mKBe4MzhUl6hUr XdK2vWvUg4FGo8D3UjsFv7haEZPHwHu24MWWuxTXqoRejmUMRidaHQM7KHJD jhQKqxk0iU2JuZTCYjWoaqiDwQR3abfoD4rxlxmLRq+U9w84z+j2UewPM6rP sGMx1i8qURuk6B+ZTNngxWLdas72qdIk+eDQkYMsWjJkUYNDFJmBqh+38FmU sIs9+k8oChN+qSVCFmKniB0SpXeW37DfnMSibDAq7dUYxZhNU0yChIXPzzsb 3cYpKh/kHt5Sz8IyND9R/xlF7LNI8vohC9VNxGXqOYVUJ7prYJZFfLYJm/kv xUXJPcGgJUFqW5nUeI4i3MBgNG4PgfRQ7sVbSpebXzXb6EqQb+Mg8p+n+Iss 6lR7Egimig+bvqHwdYphluIJgktT/effUbgUlApLcgisfL+e+H2ZQl2jsMzh N4JYiw9yTq5SLLj19T4YItig8rgiR0bhdCOrO26WYPJXp/hIOcUdv40PP91K cbbYc/qQgiKRN6cW6kDRHi+xtWMp3NL4Z8uVf1qwTXuFUgpe5xcBjwnFfzra EP8= "]]}, "Charting`Private`Tag$2565#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 4.999714070858953}, { 3.5154535402747886`*^-6, 4.999247369599134}, { 0.0001152118573926528, 4.984244694733099}}], Line[CompressedData[" 1:eJwVknk4lPsbxu1CmBkiZcla2nRE0uJ5HZUsiRbF6SCdspzsilBSlJF0DiXZ kqWSPVuWfMWYeUPkWFLEObJMmHlfS9bG/Pz+eK77uq/7vq7788ej7upz4qKQ gIBAyer9Xzk+PygnWNngb5y3w5hKw7SEt+ftvJoDkWvvsodEaRiTl72z65/n MNKtYR9JULG1M4mGarG5kNDOuJfRSMWSvoaYla8UQkdI70KxNxU76/CsiJwq g82jCQ3HP1AwKX7EOXNVBONMaaXXbrKYth2X3XiPAVaJzbSbLtJYUJsxJM2+ B/6Nd19Cj0hhimXUAUHBdvh5aX1bqKsEVjFk1tp+4B9A7HApmUviWINn2kaH yS5omGuS+XpTFPuhc1C2wOsThL2sDHNlCWNCi3mUjdpfYNi06Td8RhDbw3ep OFnYDz0OHdT1FgJYa6RBG3PrIPjNBa9zceaB2l8Ti7ncf0GvNiI1emkRJuYH B7p3DQHdlBkKQ3OQPV7TLBP3DbouKFxZTpkBGZUXxPDwMNRNhwMzhIRYj/JL GVqjcGbhjUX60QmYw/KG3cPHIPuqW1bIiREI1GeUKTSyoT9dR4/OGYTBQsa9 DvVx0Imaoib0dsGyZ1eKbsgEdB4/5lVxqAm2mYqvXKqZhMeG1duD7qVD8au8 zb31k6tqq1dimwoG8rZ2FsxJCITKaRPFZDgwlpS9rWMSbveeOOPy8hHY3N9q RY5Owlh/o7BMBR38Px9LukbjwLUMevVZrh+q8nuoH+vBAVO2kua4QBYy6dt7 jufNgfmigq3yYtmo4dDXKO9ADgReMbngJJmDmhV1PtuGc0DX/H6hJeUF6n9b Gb7uEQdErJOum1HzkIBkX2t6PQequuUXWv1LkHmmuluJIheKcnLl9g+9QQZJ MjpMZS44mlzuf2tdhTbFLQ9/UeeCRJZlTEVFFVq61u0qsp0LxR5iWsL0alRg R3c6g3Fhx0M37y86tUhOcOo0z50Lz9XeeXIOIyQw/1We5s0FY6HF48vPEZqc bO7UCeCCIJp9Vixcj5i92Xa217nwt8e3gwoX6tG14rPHsv7mQm/FvndI5R0a dK4/ZFHNBXnDZ+yAiAbUerpA2AlxoTWbrqWb34DeWCU3+DO4YHa8peBKTwOK NwrEUtu4kNnC9G/TbUSHZbccIIa4ELaz3d2upRHpi65bFmZzoeUMOZ4w3YhU lwWr13O4cHFZ291FiYEWRvuMfp3nwsfYU4sPLjJQXt2D3Y+kCGgP7GuXW2Cg pLKw6VwKAaINU0zfjU0o8pVHSd06Agw3f+eZmzQhp0QzPbYaAVzTOPq5W02I 6j2/db8BAWO7tJ0HhZlo5cLw9+PGBLiL2Yy1azDRuEPHyz9MCDD+oPD7FlMm YhzO04k7SkChPeiKhzFRkIqzxn/nCLB9PjhtMM5Erra77PvPr/KkSRxJE2Yh m9uCMZ8uEWD+9/kMZ2UW0vmeNfXBl4Bh1lcDthUL0ZSvaL+/QsDeujnLXFcW 4tkccWCEEOCxQU2jOpiFusrY9dWRBNSz71TVZ7JQ/VjVbDmdgLrmZpuSChbK 23BvS0kcAZsFCbux9yx06+aOv14kEeCluyNQictC3qUrjZlpBND3D92n8FnI YbR9Pi2TAEiykDGTxdEua3/nh/kEuPRpFdjuwJFyuFnCgxICjvcd1968H0fi r+VZMRUEzLkN1OgdxdH08MhSVA0BCjUK1u6ncDSgWLkzop6Arsw2Vpszjpot o13DmggYkMwzPu+Jo/LrDolBzQTEiPzOUgnEUUbx1mb/dgL6HvaUCl3HUey3 ZZ5XFwGWhn7nZaJwFKzw4RePzwTcKuWfhFgcXbBIv/jHwCrvEkP/YTyObMJ8 njh/I8DR2qJZKglH+4qwD45sAlSficvkpOJIZ4gqaM9ZzZU5Ss4ZOKKu+2Zg N03AMiVnt3EWjn6al7lbz6/yP85v0c/BETskKtX8JwGPwnRvWD3H0bj9Nvdn AiT4GkbI3V71LqSckJowCc1uBTc/r/Z76D9TUkVJ0K+2HrPJxpGV5ojhhjUk 7Hnq8+jbMxzV135ofyxJAodQF01Kx9Ee+wqPddIkLBuV9l1OxlE+kS6cIEuC f2I92/URjjTod9MoNBJ6hUS0Qx/gKEnD1yhOnoSLCZziimgcydSe7ZBSJCFL Zm2nQgSOIk+b/klXIkH6ieVcajCOFrm6ouLKJNQVSby09MGRdzTtaaQqCYO9 SonqF3E0rL68V0idBDwyPVbTEUcfT7Ve5mmTcN9d1qbYFEdHuGVioVtIGHBc awgGOKq9m5axsJUEqTvqZwV1cPSi2rtrRo8EUzzea4v46n+cOuPtp09CWnb3 uvg5FornwBrCgIRyZsv5vSMsdGMT9cC4MQnv7ca7D9Wz0GzVYrfbARJC3mtL FeezkOfJIZ8RExIcQt8snU9iodN3SrP+NSMh/mPK2WwvFto+eVrq0zESgt0+ BE7IstCbU9YoxpYE52x53fxZJjJ7+2uAyUkSJK6YWeX1MpFjnF5fzlkSrAR/ 5PqlMxF9l0Re4AUSIlotQ66qM9FoYK0l7RoJFlydkwviTcj/6+uVplASYtg6 wpJDDMQ7nPv62g0S6iU7D0TXMJC8YuKG/26TkBHOpHRdZiCzKp/xojgSNALE 3ozjjSiDpxFzLJsENZX7vXPuDWj7JSUTwRckZDvXjfTta0CVbbLTZbkkiJcN T9msbUBtT386KBeRMOt8qH+k4B3imfboTlSt7i9blYpM1iPHO/T30e0kDEXL Kxe+qkNysuQaxhIJYkPk+rvNleiftzF3LXgkSHpJHCSdKlH8ZW2xdj4J1wLq 9/ZOVyBas6PwF5Ep8HbrOLVVadVHNfEImSnY4pmwhudchijLydMbNadAWdp1 Q/CnYrR27HB/gNUUxEq+26E9kYlEUEqRZuoUTMu1qp6OeAJ/GtR8lrCaBu5R K9ijz4Q8C9eMurlpkBBp6ZOy64YfExsoo4kzEOtXXLXLdxDKT5oLPzw0C0cO 2/pGBI1A+NGop2Wjs5Ai/aeKpuQEqH+17M2K+gH0DknF0/Yk7DOKfKikPwf5 59qe+4XOwDnV9kXBzjkI+CWr1OHGHPxovj/kGzEP0j0BC8k9i5Ak4hR4QmsB DgoxGPw1PJAbKM8UYiwACG36FqwqgIlejzhl7LcIXrs7iW0jgphArlPREG0J QkMsnxx5LIz5JxfdpzUsweNN2ypngkWxt9ui11C9l+HtI7UgEydxjGrpv/2W zE/oDokec9CTwPp3fOy8VvsTzhQRgZ5GUlhxOmgNO/HAszHOiNgpjf1etIeq ssKD8sNX0WV9Wexm1LOI/lcroNEf5XmzgYJJB4lbni9YgSIV5QRRFgVLdvei jRatwCTbxy22hYKVWhlnEWUrIN42pfW0i4KNUjsYQmgF3t28HfB5lIJZpQus 0e1cgf0/TAtypKiYQqVz3JXlFRCLX2pl2FOxrJdN9ku8FaiwDRuh/0bFdiVv UwsX4MORGV0vOxcqZnF9vihalA/hv9RNjnlQsTCzBx0psnyo0VfN332dig21 18k3aPKBc7BwziabihWwVVJkrPlQLsKtmJilYtFpUS4DNnzYbMQcKlyiYn+c 4GgX2vHBVyJiX5AADVOurS0+doYPJ/RbviuupWExD35jxrryQef27flUTRpm 3mNt4n2VD2PDikmbbWjY/wCsDruf "]], Line[{{1.9745531734228603`, 4.649378282507097}, { 1.9787207152144783`, 4.688968638921458}, {1.9792511360269374`, 4.694142791945341}, {1.9792511360269374`, 4.694142791945341}}], Line[{{0.026089082519384507`, 4.643426699248538}, { 0.0350451422846122, 4.563699048671788}}], Line[{{1.9868583233326689`, 4.772943344200311}, { 1.9890171235866694`, 4.797458534241166}, {1.9892207977123333`, 4.799856510591933}, {1.9897035508114822`, 4.805540249315465}, { 1.9897226630575817`, 4.805767510647624}}], Line[{{0.024757010178608062`, 4.655811556755268}, { 0.024813572315302873`, 4.65528237367648}}], Line[{{0.012429306800578199`, 4.780894961442156}, { 0.019260257456407852`, 4.70885120020252}}], Line[{{1.9690305277058797`, 4.599293706707131}, { 1.9725428701911636`, 4.630868154968042}, {1.9732763460878604`, 4.637581867096684}}], Line[{{0.02178799830232559, 4.684037266938557}, { 0.023481499974526428`, 4.667826769861331}}], Line[{{1.980216524766344, 4.70364882914409}, {1.9820111257845565`, 4.721766014417481}, {1.9828868521843874`, 4.730606808150189}}], Line[{{1.9920574042582282`, 4.834598073398284}, { 1.9924490109655175`, 4.839675697973514}, {1.9931356869355459`, 4.848784908686777}, {1.9942627197136527`, 4.8644016643989705`}}], Line[{{0.006990001109958442, 4.847096681042143}, { 0.008905112612481055, 4.822558619487021}, {0.009176606110972044, 4.819080010450934}}], Line[{{1.9972083674759915`, 4.911386949666069}, { 1.9979406775092352`, 4.925567796660892}, {1.998627104734048, 4.940756955418829}, {1.9988593097021097`, 4.947104757793234}, { 1.9993135319588609`, 4.959521861285812}, {1.9999999591836735`, 4.999714070858953}}], Line[{{0.020535767660489486`, 4.6962310800431135`}, { 0.020535767660489486`, 4.6962310800431135`}}], Line[{{0.010452116315053678`, 4.80369386704174}, { 0.011559858235370032`, 4.790789973148399}, {0.011621333053202478`, 4.790073863636}}], Line[{{1.9907818940541464`, 4.8185696688279345`}, { 1.9907818940541464`, 4.8185696688279345`}}], Line[{{1.984177992585372, 4.744041629198055}, {1.9848985602377929`, 4.751667213499759}, {1.985582813128587, 4.759002897196128}}], Line[{{1.9955382299177344`, 4.88336593492148}, {1.9957562021944761`, 4.886798882417726}, {1.995881395834797, 4.8887706157065205`}, { 1.9959328572719097`, 4.889594299287434}}], Line[{{0.003414505701098769, 4.9003808557299955`}, { 0.003926895446503668, 4.8918576959088655`}}], Line[{{0.0006134358411192535, 4.961912265358487}, { 0.0006134358411192535, 4.961912265358487}}], Line[{{1.9676892402150108`, 4.587464994417945}, {1.967755017501798, 4.58804234719392}}], Line[{{0.0052024056505853, 4.872161629878583}, { 0.006055244663775441, 4.859902071495707}, {0.006055244663775441, 4.859902071495707}}], Line[{{0.0014494803728095128`, 4.938934254158318}, { 0.0021349490647419255`, 4.924030259708196}}], Line[{{0.03632065248869384, 4.552760967172578}, { 0.03941120618234885, 4.526612975144091}}]}, "Charting`Private`Tag$2565#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 9.999712116189258}, { 4.081632653061224*^-8, 9.999712116189258}}], Line[CompressedData[" 1:eJwVkGk8lPsfhu0pZWtVluaZKFs6JVLy/RVFtpOKOicRlaNU5DgUOpbsCdXQ ZMsaskwyxhB+Kgc5mJRUKjQcEc3zWEq2mX//F/fnfnG9uK/PTXP3PnRGQkxM jPEz/29dew9Nebl4yAguvJNzho6yVv4aFafCgG0VxtcHjOgoqP1Oo1MNA4yv IX/jrXTkFNkvQT+eDHWUa+ZNfTpa+u1SyOP0FHDXuc08uoGOLncxLo9p3IUn xlYddGU6crjdc85eKxOUO7b1MQQECpOt2Birkgcf3Q+pSjwgkI7lzZhHPnkw MD/J/CufQC8jvUfeN+dBess8bzSLQBsk9Yo3++eDR7GzXv8dAjUt5G3uenkf DlXmzQ5FEmjpZMp2jfgisFifFuXmTiDmx0DzSmEZhMYWxTxTJdCx37JZ1Dgb vAtuXn6eTENyojBnS3UMjqfXj7Fz1yNNB8Hws+uNsOTe2UmtqxoooMMEmFPP 4cql8Z3lTDW0mq3UKy7OAyrXvKnw4zrE4Zu38UxfAkf0t9Q96bXo6bmMdb+N dQHwp8OMdq9B37R2K5ReeAPqv3wuU7y7CknMFCuu0+wBXvd+T+U3K5CR6CTn cNkHWNBoWUMZL0dtEYYdTTp94BVs9vLPfCWkkTQ6UyToh7kVhmanRhXQ6HRf 7+stfDhzS1Hse8dSlPflcat8wgAkN+U2KAQuRvJqBeTg4CDsfeW2txlkUPzZ So+sDUNw91WVY42lJPqOigc9Qz5D0/1dHstUxZDf1kb2qmfDcC9gy3HBH7PQ V9Z4vZP2Bb7V1ZW6mU3B3LmuNO3AUWBJbTwPtWOgu2eR0OPxGFg6C574buWD ZQ7tj/LVAsADHJ0bMh1gyJTXalIVAGll3Bju3Q7rE+YGe2gCgKSkzn/ftsHs ldfuUnoCqAnTVztR8i+UOsS6HEUC8Jt3XJl19DksFx93XPAUQG/3mWg+boQ+ 1waLAzUCSJvwTDJproI2x1JJFywAerDPBQs2B7g2qU99GwWwOzfj7aWcSrhl 7IfSOwQwHRXdZRdeAfsUNpmSfAFYB71IS84ug+L6xG3JciSoLrGdd8XpwGQH TxQpkhC4wQ9HtTIh4sHZ8vqVJFgU9QrcPjDAJcXcYFiDBDW+n8GMdhwoXZzW 2WVIQkLqNcsecTccoOZKfHImIU46n5s3kondD25x+uD2k5s5N+gS2dj+mnjc Gw8SHFrib8m15mCtkdzxdh8SJqxYhwNl7+Mu9nBDTQQJ19fJtU7sKMENn6un KmNJYBSc+su3ohQXr72+qTyBBCwXKjLRYuHwUP2kAiYJZeo+obEzD/EWW19X RgkJaRfS49ISKrBqiPntxHISdvGci9habLzo0YrmOA4J70vT6V+4bNy7umpz WAMJnDwkY9RaiVutY9yD/yGh6POyayFWHFx59beUgFYS7B9+mrDGHJz1UKfV l0eCUYaPmvrmKhw/MLdwoYuEeINUmwBGFb68qv2Xs+9IUB/Vg47xKnzqQOaZ 070knH8ZOpy8j4vtg73vug6QYPCiWAESuXgnC7X/PkyCrXqhhmkHF2vxlcSd vpKQGCO7SUaiGiutHDB0mCBho8yeaUKnGs9bsj1tp0lw8to/qLu/Gg8HRqZb zpPAM3WJ6XKsxl+cdD2zxShws3L2pI5V45PUcgkNSQpubFKJ8v+1GnfHzqel S1MQ5H9DI9ykGtvQ/9u+VpaCxGUpvgdXV+OG2nbenSUUaC9TEe4a4WIjJ87Z lcso6CkM0uOwuLiEzJS8rUCB/p/DfsiLi4nY6AxFZQomV359c0aVi5mEj3HC CgpWXXOwqXxWheVrj3XKraZgQbHMsc6tCkc47vGKVaHAMaS5R3aag2cE2tKL VCngTFpOqUZw8MUY5XsR6hQEGlI5AYs5eJA2t0OCRoFxF6InRlfiF0fazi9o UmBq3VGX783G+wVsmaBNFBjlT4id66nAtdEZWT90KHjNilX1hwpcUHOxa9Lg 5950plXuTDn+e72S6RcTChT7vhdc9SrDU9Uzr/8wpSBOLbz/yVQJPneY7/2f GQUeDX73g/2LsWNURW6/OQVVBU+oktOFWG/MUe6NHQVvl0jtpk9lY+4RWxx3 8Kef+oNmCc0sbF6390+zwxQ41G1v0L2Xjn9PMHiff4wCC6P6ugeayTh2y+Ji v1MUbC00SHhX74+H/Gqtla9QUKxf0mY4kwpZC0ScXd7Pv6+UB+84zYXlCpRs 4ywF8gVhjdo3eSCF01j09HGo6X6+qLL9E3gZPn632GYCRicfJdVbfoXiA+5Z 9d8nYKfvGO9E+BR8G12rOJQyCUeEebe06LNQedhSkmExBeq29toCAzEUYhV5 jz00Bbp2L5gtWpKI9tH6bW7kN5jbN+UzoiKDdhpHMFS2focDz08MVB9bjJzV eTPir75DV6pd5+DZpehb6w2+T9g0FByLC/BvVkBMKRe/Qxt+wFT/9Zc4UAkt 763MkWj8AQ52kU93yi9H0lfDjphcmoF3dQ45X1tWILEiFxZfeRZ6c2vo4l6r kG8q64by01nwKnt1onr7GlSnGyOrdHEOnNn/ZDoIVZCSta9euPw8BHOHjwSX rUMf9F+8ulI7D3UnY2+J4tTQw0zYMOiyABdWm+39fFADnWAZKakJF6Av7HPW xfj1KDQyO+zDAyGE7/cJyomnoWUBi6zdSoXgu3bPXf8kGkr1vKA8xBKCsUfK DRsGDVXYmOSSbCE0yuZJ/EijoSGlzkYJLASfsVCX48U0ZJMpJqv9SgifzDOk 7VtpaFWVa8Jfc0Jgho3tmJYlUG7hP06zC0L4UbDNY3Qpgbak6mqEiIngdebI v/2KBDpwdZoVIy2CI9LSh3hrCBRsntiZpiACv25+y+NNBOLz6lc8pYsgfaqr pduKQKXDamnytiK41dKZi+IIFJMRebLXXgRRDCabn0Cg04e+apY5iKCt/b1z 9G0CqdbWPrQ7KgJlfdlHb9MJFJd4vCneXQQ9lnmWGSwCeRrdHV9yRQT3v9Yk 4tcEshgVq+oJEsGCe5cYo4dAGlmewQ/+FoGTkZnH+T4CdS/escg6QgQWhlpJ 2iME2vexWzU2UQSbpa4efzdPoOiAd9IvskXgUjKaF6NGR/8DsQuiew== "]], Line[{{1.9782805368779057`, 9.576292014112154}, { 1.9787207152144783`, 9.58275622033167}, {1.9787373661730594`, 9.583001189402085}}], Line[{{0.0030108407854104445`, 9.892376078842013}, { 0.003680410965082868, 9.877516137832176}, {0.004907201014668314, 9.852042536219962}, {0.005520596039461038, 9.839936553449645}, { 0.00613399106425376, 9.82815862914752}, {0.0064993113705575055`, 9.821279730289257}}], Line[{{1.9800128763771412`, 9.601866383795702}, { 1.9807799968889164`, 9.61331211652743}, {1.9835257057881674`, 9.65497416698419}, {1.98421213301298, 9.665580276184528}, { 1.9848985602377929`, 9.676272362821956}, {1.9862714146874185`, 9.697938522964193}, {1.9870007938086784`, 9.70961775482989}}], Line[{{1.9940018470218308`, 9.830741245283441}, { 1.9951949686099844`, 9.854094993741498}, {1.995881395834797, 9.86819292087512}, {1.9965678230596096`, 9.882930207813676}, { 1.9967957936989889`, 9.8879980721517}}], Line[{{0.0110579818347774, 9.741364463588466}, {0.01226794131218099, 9.721457131389384}, {0.012417451027480158`, 9.719025404530045}}], Line[{{1.9921026341762598`, 9.79573625105898}, {1.992449259710733, 9.801965000050838}, {1.992726336817749, 9.806990855065493}}], Line[{{0.007360781113839206, 9.80540598872822}, { 0.007360781113839206, 9.80540598872822}}], Line[{{0.0007605691408016996, 9.953402035035154}, { 0.0014028610741234132`, 9.933027332556621}}], Line[{{1.9898585528143742`, 9.756742069491871}, {1.990389978036295, 9.765791155721368}, {1.990827123972178, 9.773315077409297}}], Line[{{1.9983017898491244`, 9.924772946641887}, { 1.9983017898491244`, 9.924772946641887}}], Line[{{0.0018402258907046993`, 9.92096947507125}, { 0.0018402258907046993`, 9.92096947507125}}], Line[{{1.9994970648041506`, 9.963260137583521}, { 1.9999999591836735`, 9.999712116189258}}]}, "Charting`Private`Tag$2565#5"], {}}, {{}, {}, {}, {}, {}, {}, {}}}, \ {}, {}}, {DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{0, 0}, {0, 0}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"F(U,\!\(\*SubscriptBox[\(n\), \(1\)]\))", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {-1, 10}}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, {Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Center, Top}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{ 3.770886564884124*^9, {3.7708866352019043`*^9, 3.770886708604892*^9}, 3.770886979026722*^9, 3.770887036377323*^9, 3.77088718769751*^9, { 3.770887255549761*^9, 3.770887284400783*^9}, {3.770912123404723*^9, 3.7709121512264423`*^9}, {3.770912184393393*^9, 3.770912203264988*^9}, 3.770912295878501*^9, 3.770913744321866*^9, 3.77091496281671*^9, 3.771208436231336*^9}, CellLabel->"Out[6]=",ExpressionUUID->"a3311dbe-77bc-4e50-8c68-84225301dd58"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Correlation part", "Subsubsection", CellChangeTimes->{{3.771208684265621*^9, 3.771208686382888*^9}},ExpressionUUID->"64aab028-6769-4d68-8f66-\ 0174c0ae5c5d"], Cell["The correlation part looks like this", "Text", CellChangeTimes->{{3.7712086099894114`*^9, 3.771208618996855*^9}},ExpressionUUID->"685f89e8-3ebd-4a92-a93a-\ 10bd0a374974"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"F", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], "+", RowBox[{"2", "t", " ", SqrtBox[ RowBox[{ SubscriptBox["n", "1"], RowBox[{"(", RowBox[{"2", "-", SubscriptBox["n", "1"]}], ")"}]}]]}], "-", RowBox[{ FractionBox["U", "4"], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"2", "-", SubscriptBox["n", "1"]}], ")"}], "2"]}], ")"}]}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{ FractionBox["2", "10"], ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.770914789329821*^9, 3.7709148373439407`*^9}, { 3.770914879000749*^9, 3.770914936003223*^9}}, CellLabel->"In[68]:=",ExpressionUUID->"513ca180-6193-499b-b046-820a3ded2d4c"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0gk8VVkcB/BrGakRKpkYWcpSDc8jY4vOKy2a1FgSGpmXrUh5POmhhvTC kKXwqChrlmxZnv2cl60sz9KYsST7+qyhITHNcT+f+7mf7+f3/5//PfceBXt3 cyd+giAS8L35/MVpsoMz5XSU2LwOHDas8AoRtBrUAULJP8MR67HqbjVeoo/H SRDDJXnNRgtCYXNyRcmGFZhZU5nuWlCBZ7ldhYlSjgB3D+i1HYNOig5JJ5Az CD3uq6711hiW/+PTfbvVDSRU3LS0OHsR8piddVdYHriec2GddwUW6Gxorkt6 AYb/xYK/F67BOiPp0toE7831wsgVNGgUz7W15zJABinDT0jyFkzgp2Yppfrh POCWc5AfFDuv7xj64C6wVHeTeA4CoNeOgPszV/1BYGtCme9SIFxyXBUYkbwH +Mn9JuLXg+EpwbBzq0L3ATkrxbDSIwJKagcbhUsxweftIew5l0fw3a9Gmr47 H4BStpSkfXw0/EUs2wAmBOF5unrj5+KgAZX26upgEFDPctp6lS8enpqoGJyX +xPkZVkqxRg8h252doXBV0JxvfjK2vZkmPvi/BpjVxgoG/ORFtBKgY01T/a9 XH8Ixpdsxzzj0mGNfjorJSYCGJSmIk5MJtRuZn7yTYoEX/bbWa8VZEP51eUW xQtRIPhRROrCQA7U0lYNt2E9wuvzQhssX0N21A22mdxjYLJIg7/lFsLjeeXv vw48BiRtKQo3uRgm7f41KFQqBtcrh07sKoNlrAZBJWoM0FXjk4mcLIMMAcfm a5mxwNCiM4PyuQqKfPbwr0xgbdaPKUlw4ERORXWwYRw2N9lL8w08oxhJ+74q Dixy8qMzZWpgbxzT2P/yE9BEaYQ2ZvXQ4uFHdhnnCa53usuUbYB1jgaW+zee AOaK2tTIiwY4WlTqsTf1Gc59CcbZJphQnnHacz0BBMbrbvkjjQvNontdzys/ x/m+Pb1G7ZCpQo1TLngOrEnC7DPr7VBYwG1i/OoLQAS8EPNf7YAu3ttYLvQk 0LfSm2+t3Al3H4wiWbOScf8918DXXVDXr3mLykgyCDUZzO0u6IYLg91uijop uF/F621rD2yOV3i10IVNlEZKb+mD58U+nWD6pYJlW6ag1a1+yG9lklqslgbM U6sex4QPwu4i64gKehrwU/euPCQ9BN8/cJ/68DYNEBSOyETDEFQUUH1F8k7H PtpurTcCGzbSSJ3vX2LbbN8wHYfuBvcjNw5mbO4v8qnCBNzjd2VB+R42Jf9a 2L8T0GV1b6GPeiYgOMM1d3KnoMgS62e5h1nYJm/IprOwROMWy3gEOyDv3LrR HLSjWax46Gdvrmd6wmAe5s+KlddNblrAmZS4AM0nQwxcT+bg/qiYePYijP/o a1TyXx7unzJOtF6Bx2Rs0vot83F9ZpbnygrkXdL5TjgXm1LFzIxfhbIzPg65 agWAkG9WNBz+At1dtJWIPmxq0QeDx+twp2N+ZrpuIc4XyGGH+ZDzfVkbfUfs qP1t9iw+VJkSvrUtEjvgnDRjjQ85Dl13XR3HJtRe2jXwoxK7A6pnY4sAQePz U78hiKxtkvMXPhXj+Wvm3itb0PyHC9tSpEuwI6vCnYVRkJ2wk4URtmnTkdp/ hFGRg7s0OwY76aeLoRVbkehNwwd+Omzs+sexkd+j+sCeS0J3S/H8v7S/uYsh 2+/CS0rTN63Dr/pJDC0GU8RdWrFph2uhnjiSD8+ob5YrA0TBUYl31eLoTtwt 8qMa7MxjdbBlB9LM2SEkI1wBiO4LVVQhCdRIqqdyydhlBwbIphKI+ppR+YcN NqNmPPapBApnD9CGsrHjw9TkNHajSU7uh5fnKvH/6NLSdJJEz/8+81ojugp/ L+lhr6k96Ptv92xPyyI8L29AwUEWxbtY2amewmZwry9WyyLFTlXqjpub/iRq KSWHjmZ1OXyoxuYk/9XeIYfKs1glpSQOIIw9xzvS5NGsxUzV2VbszO0d1EP7 kGVmXDN9ew0gmIHfQt2UUMLlQBNnBWyaqZZsqhIa3nmDa/0z9uB13lqPEnK/ e7zN8DJ22VJvlLEy+tN89v2WXOxlop50UAVVrx/vfWZSi8/DrS6N1QNIyWxu sjasDhCOl6aNuKpI2v+0/tVk7HVbn5s71ZB4blLYtlLsa3Uy81ZqaE3YgmQ2 jF13NmhxRA21c0rp/br1gLDev5WPUEe+5Hv/rY5huxU+k04jo1YxCQkS5S3e X4WgjchhdC+z58he8XdAs+B05f00LXS7VQ/ELzcCIoj+X/BvukiUVDLWKNwE iBDOXM4DXZQWTn74VQa7LLr3c74u6jBR6bE7iS39O3NJUA/91CxBV2Jh79zQ SyzQQwNv518W6jQDgm1flyJ6BJ1+ky7K9W0BRI5Pr86YIfqheEc/H18bIGSn 2JobxxB72KilzeA9IHYHJ9Z6n0E1rok/2sx04nxL9515U/RZ2VAs90YXPp+N ciEnLBH/l1fiPyr1ggAbFlPG8hLaWrMs9ENyHxASdjBp0f0daX+jsi3y+kBA turTHvPfUQtTq7Xh0ACglG/IDZHtkVzU9JesuUFAqdOKXF1zRNMrA/1/k4dB wKh+QnzMVZTGq2wSjRgBAacObDO2dkWiezPmR0dHAXEISn1dckMPXUqckxTH AUVptogC3NG/lFej1/wnQPs6bd+nOhry0qwrlqydBAFU1sU9FR7IWUs+6dE7 7PUg8LXaA1lr3wkTaZ0ENMZQy4c3HuiIvpY9f88kPh9lbbGNHoj/eJrY3BzO vS+bz3Z7oEgzpmu99BSgnDLWOLjigbJpJ+S9PKfweXz6qlnDEw3k1YV1KPDA ArW4lfHCE7XPCs5oqvBAwMefJHJSPBFH9aRJjCoPmJrPNvWle6Kk7HoRKx0e aFfVC9HO8UT2LxvC+0x4gNCIUGou80Tjie8iJ27jfn/WNkaHJ5p92BK9wcUG Rak9BB31N4ss2/2FHeagUi5AR63bzl3gdPMA7fPRjVghOsoL4UrcH8HvY9z0 7LQIHdGYrbHCX3iAM5QRGvoDHS37tcftUpwGAbd5ThFqdPTVtfPZQd9psFCc sBhsRUcXtC8/IvlPA05oxvNRGzrK4RsPOszEeWTex6O2dGQXv+JhGIFzBdGd M1Q6elMvbWyWMg2ScmuPHXSlo2D5K8uMJlxvXK1KukNHf6wMp7zvxr4yEsII pKP/AZQDyqA= "]], LineBox[CompressedData[" 1:eJwV1ns4VFsbAPBBUkS5HSeXIpec0klR6qRZckkII7coFLlFE/ZKLonzHWQk OimHIpPq9ImIJFTWnFJHUi65lGspkcbMHorcv/f7Y555fs9617ve9e69195a vsf3+YszGIxM+P3/n5GxNdPq41fErWT4M85QpC50waRVh49o9/bxyAKKRErI a/f8Cl4qtyL5b4q8MzSeEprzEa8kUTe5hCL5Z2NuqoTwkdmuQGvZWoqs3yU1 H/CQjxJs2wqMuily93bR2rc8iD9clqfcSxFjJZaTzXOIZxlmfuujiOlQ9o31 LXzEepsTUjhAEYdz6+zozxBvN88TfKFIxDv77GiFUaRJ+0cNTVJkwnzsnxGV UcTdqt+ePUWR2OKsrwc0RlEY9bO29QxFEuP7mUx9GO/ac/7yPEWydMMHxZmj iKWUxlWXxKQ6/OLmtOBRRIuLa52Tx4TZve3gHBviW4SOsoqYPLHsTWLjUdT8 LTswVQmTBhW9d6z4UcT4SccxVgWTnscP4pUvQT0TySITDUwY0t2NV3ngBW1V dX1MrAu0AstUBIjxZ+dg2g5MjLPl9J6rCxAtYZKcZYqJZvrMpy4tAUroqw/K 24nJdHS77yIDAeJVOY8XIEzuOHG83c1gPv+D8jkLTBTFRK5zQQLUHOi5r9cW 1pvsVVJgg/sGxmvsMOHzG97oUQIUlrX9zaW9mDx/e8OJFSdAZtkuthYOmETf 3W9//U9YL+J3xTgnTPp9eJY2NZD/jmdfiDsmja53JLwJzH/x1ExjPyZVdpef RNRBvJVf70vwBRNslvsa1qNi6zQ9MbFarm8qHID8nlWWhQcx2SypPCMxLECs hEjK0guTVTNiNT+PChBXk9/VA/7xudvEfBLyce2dJX0wKarNMLokI0RmxVaD xocxya44NVa4Qoh4M8rt1eDE28FltcpCxAreN7vDFxPvLIuNw6th3CqaNvHD RJ49uW6HsRBxOzNC5Pwxmff79MVxO+SzaFSIA494tPz3CFOIGBpe9DC4zqpI L32PEIXdXLCvCsDkpIbPmg8HIf+c7PktQZj4sgzdeg4LkWZN5KY0sMMfYqmd AULUHKCq8x6s9+W66FWYECVcuD8bH4yJgvoJ3RcnYP2IhIGX4DmH3R51MWDJ DSuVj2LSVjHMq0mE+VZdUflg3lD1t/scqM+54tp7cJHqWf2ydKindY3a6hBM /pOw4fytbKhnbdRCJph9b/5pQR6MH2QebQB7fG6azCuA/fDcdefBhnsjfC4W Q7yyXZpXKCbq8RaZGWWQ/4j0Ng5Yqlzp39RKmJ8/ZFQOHvs0OJ30EPrn1hn/ Ftyn8uDX33kw/va12iy4wTbF99Qz2L9RnZTGMUzux3lknWyAfFtLLHaAuXfX NUQ0ganEJjdw2seZuWNtkG8LKjoOjvrp1abgdzD/fGdHEtjP5qr/kT7ol5P1 vhyww6njOT4foR9SHI3b4N9KzV55DkO/FmVvqwLrDciLuY3CftzDrj8Fyyt/ NHYag/2+lvNuBM9aVwTtnYR8M2FBreDhmKRc61lYz/DSk3bwiNv6oGsMGjFi Y0I7wIdoRfHVEuBizYA2cAdn9kquJI1YrimlTWA77cEtqktoZFZfvqcezHv0 qukvaRqFKRZsqgVvdasMVpalkaa0x9EycLHwqkTmcpi/s3vsGngN50zeCgWI nzN4mQHOXhNmkq5EI/qA83gMWO7R/hYZFRg3cAnxAye67grhrKRR8/wWIxvw lOAXSSl1GvF0GHYGYHaKQn7iKhol3K0pXwb+pDWzTVwL1jvBPjoC16fZpTF0 ThfqKRl+kQfeLahYHKsP9Z+pC6fAj87kcX+sg3yH6oJ3g2/VsNvGN0L8Kj/b T3C/qLu4s8M3Qz/8NYxKwRdG0RKhMeSP3Bx6EnxaU950ZDvUN13UtAD357fq qfZAU9hPy6ZpAj7qPHB8kAn1bXc9EQd2Tb53/b0Fjbi1xIuG+9+A7yrTaQ/x jzyn7sPzUuWyl6SyoJ7cAw4eYIvH5hTTGfJrrIudCsTEM31j9839kG+i5KAh mGO4tAj7gf+WtoiC51UpZ8FbPwD8XdtTHMwVm1DoCYL51dq2nCOQv3UgxoIN /a2MvH8OzoPP+JGtQjTUs1iyNgzOj4je8vlnsRBvPsj9cAieT6vC8ujTYIaU tyNYSSVL9cMf0L8NzYFacB5ZVB8fKU0H687U5sN5xp1bk2p/A/Jf0CmShPPR IGAlU+wWWHvA1tINkwevl49VFEL//L3q410xeZ0/66FeCvWKn/cadYb1dnX8 8rUajI1/FLBgv8mcFylNkF/V3iDKBuoVxMeZtkK95ofqE/dgEu4euYlug/rU KnanW2OSou+X494F9vb9+pcVJpUNpsF6g9DfV6LepF3wPlhOL6mbhus7P3Gv cRsmrY9Tz9jMQb9tnG0emsD1DdVd3LQA62s8Mbi1Fc6rBk+JrkUixDit2B9p DE56NieUEyFWtcv0942YrJi5PKamLUJ0qqMLpYfJsiGrHspOhMyWyy4+Bu/H xkvvPafsRYi7mSm5eAU8/5ax706zwPIdXrlymMgU3O3guIpQ2NpO9X9kMJH2 UmvJ94F8xRd7R+B9u+QN/ewlBXbRrCfwvl5ErpRq54qQpsJlj4h+inSZWu7p vwr1sa+oX4Dvg9Ia/vvL1yA+2udNCXw/eFbuVFC4BeNllav6OylSdqcfM8rB cWeZas0U8c7V/q33X8j3JmCLOI8iVdFFdVnjItTc0l+fkUeR9Elnr30TsJ+0 eJbjFYr4nZj9LjsF1mEMyORQRC7cfm3SvAglpBfqnrpIEf8gIYdaOgbzpy23 n6VIj1SIDHPZGDK7PeTdlkKR/wEXH7zx "]], LineBox[CompressedData[" 1:eJwd0ns4VNsbB/CdCOU6RJQQJkoS/eRyWEgY967jkjvxUC4jqU6YlAghHIkK SaUSoSRaCylCpykpFElIZyJ3JrR/a/fHfvbzed7vu9Z6197KPqF7/PkIgsjB D/W+1pF1JkpyEozbuvc6nY1Awdtru4VtJ0GYsdGKDscIVM/pvPfYfhKwlQwy zewj0Ooj47EBTpOg3i3do9QmAqFiNfrz/ZOgoO5y5aldEUhKNp3F9poEHN+w kF+GEaiW57dqLhL3e8JBlloEWoXEjAcLJoFT88gP93kWusvwKYCzk4C4+3bU MZuFtmsqmwDeJFDii+TYZbIQFOv/iBZw/WUX2yqdhTgd7rINxBRwCjF20Eti oWl3l9RnK7ENhSt50SxkwnI61bJ+Cpjy8/mu8cf5XBPnt5bYlwyP1G5joRmu vMRwNs67XYlvbQpHD/daLc+ymAYFqvolYjAMxVrH51cNTwPT7KqIGWYoUu61 6SqKnwH9eYvqE5JHkOGOs1lyOrOA3ZKoczMiCB1c/5q3rGMWFGyrvb0wEoBm Wi8MhJ2eA6Zng67+XOOPcvg9ju5RnQdsW/7ptmM+SKrv4XW+JuyumkPt7z3R lwC7mJoP86B9ZRKpaeSJBKJP7zMI5wGCdismKtYVESUeZQO0X4AoXHbdv2k/ YuWWXaA1Yn+UG7Pn242ebk4UkgxZAERund5YNgNJ2rA048QWAcGphmGl5qig QXyVoSR2i6rTzYvmSNug9PuEFLZWj+bPSHPkoD5y01sO+wsaemJijpJWeCib qWIHr1AxemOG+J8xZAhD7Jq3a4d4pmjWSJmI8cf26YlUrDJBn7ZwOk7UYXcl 9djf10f5XMno5Qh7+92L7Wf0kU/JXvqFBuzFsFuhLvrou+qH4wUvsA+dEFcR 0Eeza/sUmjnYljceAI8dSHLljwDpIezrJwSZsnpoXcPUPoH5RWAy4zgOprYj y2HBxfuiS4BI0b2lXayLhG8wivUlsAnTMkasLmr3TnZopFH17vkEF120t1es sFMW28Ik8KiYLvJ6t9pyURm77oCz6Ekd9HejSjpDD9tH08zCeRsqvwZUBz2w ywWtON5aaOrklKC3N7ZTj1SVkhbSY97i9vpij4dd6f+8BdWKi1d+CMSez+BJ eW5BL9h9Zm0sbBGphEEvTfTRJ9qz4hx2e3X0NtYmtGJjbS77Pjb/oGF2Gx0x lofGLJVj10cZ5mbSUcrnDT4nK7HVaw99c6MjyZwkjaOPsdkbrdxH1dA6YdfH AY3YEic1qqXUkA53vtPhPXa61ccNISrIvUxPUuE39l+vrVtdlNAj13kxDvEb 18uP8ehKSGzFE5Ezy7ETVzUsjiii+oPGQt+FsFvoqTRlRbRhpQVZJYVdXtJu cVkBDfvtHrXTwB7pFqwokUcmElJccjM2+2U9dJBHl2rfjVRoYfcH5UZOyyFr mvPgmu3YSgumX8zk0B3k8XHQBHu8UqN0UBaFyB9+eWofNpG6d4GxGr14vqV5 KxNbSCU+jyeNFMN/Ng24YDvTG7+WSCNOM6ve2hO7/mFdsIg00ok8US0dRNlF dn83Dc29Pld8LxbbKyfLP0MCseMLT3+6g12QfH8tIYxEowRtvEupeRRWZaYL odzAI7ThMmzTS3SVDUKo0tag6GcVZbIp2VoQDUu+aeJD1DwWh8KvCyDba4SQ Rgc2x4i5PokPdaUd4pR2Uo7pGN7Mh/xOt+fodFH7H+1H/y5DMX45Gn/1UvP5 uhXKLkPlm7RtHb9R9/HDZsNhEspUe6ZGLlD5iFAtm1+w6PbzA7+WqHkm9hiX 8aB27mbFWILE9xvY5CzDg4zoubJEAWxT1pmy/+bgqZ1pb/LEsesd71TcnYHC /5u5rETDVlrtsqg0A7Ppbj7F0thER4hlzjQsE944dV8OuwDu7kyZggOvoXSj CpXXMiq7MAFDG1R7LemUpdNe0SbgYkVScZs6ttfair7L43B19gG9zi3UfpIW N9x+QuuDY8yRHdT6nLKMbi4sHVHIE7OjLHEsJmkIJl6N9+pzoDyyOFM7CP32 jKrd303NszJqbuIrXFdXV27PpNZTfxATPACT0txepPhQ+TS+1o2fof7a4wkx fiTgL5UROWjUB815m3ZrBlL1BbV7Zz9BtcH5ee0jJJj4MZA+YN0D1eu8f608 QYIe0bPhjQGd0IJLVPf8TeVnZI7vfwczzNnB52NIYDG4zj6N2QEza7IYQfEk 2GYXnOMxxoEVML9dLoE6n/AxC3cOTI0QzPh+nupn+ZgP/wsPXQ9nslNJ0B5y TEFdoh3uqxrjHr9IgsrbugSP0QoXLW/eUv+HytvQN2m3wKrySJ2WXMoGyYT2 c/joTasG7SoJXrXMuXoIN8Fg+V1PAwqout6OuqBGOGCc6JteTIJNhaGvuqTr oRTLVcTnNp5PuM2ppP4pTFlR89L1HgkOw7Dku2lPYDqz0t3yAdXvLKfY+wge d/QSEa0iwVpL9uClsSpo3RA3MvSIqh+uyBSthCJM350jT0jgdHvWIzK/HPZ8 rtHfj6j6u+ZEzXvwUZbyb9VGytJqXFACMxjnn003UV5DNz5zEzZVPLB61kyC 1uZ78qWzRbA9royr+pIEnTt3dfK1X4dJ5eaVCW34vCqREVlfCqBaYL2U3yuq f1xB5cU1KF8d7bmeQ4Kob+o1/h9yIU+du7W7gwRxU9nzqb//gY/Pzfl2dFJ5 L1ZaXia8tjT5nNZFgr4wZ8dnahfhSD73Rn8vCdy7ivP+MkmAtsVaVeZ9f/63 pasXz0G6a/YJ2hfKpt7vteMgn/hvk4GvlAktnZpT8HXYtEfREAkiR4llNZeP w6AUpaXz30lQlF2a/eBoGIytLWxcxyXB1K0rDN2KYDhRde6/tlESuMgwP/kv +kJmfuzuHxMkOJAc42mQvw+q2x3+XD/9Z/3ggXQrGKAmnx4yi79fXJhEjYcp PHrFanjvAgkEhg1H3+msgXVBRVu1l/7kveRfzT29pLhqhiT/mCBMjI3/Dyvh ufY= "]]}, Annotation[#, "Charting`Private`Tag$16209#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0wk0lGsYB/DvJjWVLGWpiags3e4kuUXc4RWhrqUscw0xZzASEZqSJSFb xWRpGuZeyTL2pkR2fY+1TZZUl1KaVhLhaiF073u/c77znd95nvd53/d/zrfB K8jRZxFBEDH4/f/7u8/Iw+YPPqbE/48n71bD8bOLXSSGSC3Uw0uPrkcObB29 HB5iiXKW1iWNE/tJiqNeQ/WCC1KRG5+ykoSQNl39lZfXchBefT+ZfZ700fTO 3QOHUFPNxOikVQZZ/3f4wMnuAKQYO/Cyh5FLjsY/bvcUhOD+4LdfVMvICsMF /Xnl44ib9Vl9XKWSbLeg1rZlh+L6mhnGL3WkRVaXu1dXGLrnxrM87U6S2YvY pVoFkbjuzIhoaiPl7I055xOiULn5lqlh+h3yuEJM3JhvNPrEvXLoPqWTnObM SL1RjkXag97pAlEvabU42W5mSRySrvzoQD3/hFQ2SLLgrY1HB1bfrfyXP0De 3W+hH7EqAclO3I+sEg6Sv8uV0cnsRLzfdb+V7hKSzg4u95UkovE1FdYR/RLS arhBMqF+Domd54+Gr39HBrBYlUme53H/iT8t2odJ8RX772Grk9Fc5SDTiPGB vNcq3Fg0n4JauDabbk2Ok63GhYJ8/gW0icnbEvfvJGnQGT8VkZuKNloWS40G /ENqzHx+oOmchjYr+nUZvZ8mdxjQeK6CdETEcH/sePCNrEkLrHFQz0Bl6iO5 bVmzpPm1+r65lxlI3bkgOsNgnsxV2p94fi0fn+fgiwu+BNQJbi/WYvPRrGxF 1fRnAsKkOJ2HSy6hQK8KSZtICmS+hEQ3Zgvw/Je0xlZpGL7acCvJJBMRZpkD WfSlsE8zNXhFUybaz6p+pBlCgWeZ8XujPYToyOtud4diGXBKeVFT1yzE64PK jG6uhHYOnbFpQYikKzJU4zxk4W1VbYhawV+IkBxa4cJXgOz6Yutj89mo+Zmz lGrLanC4+MzfXjsHn9c80iVPCeJ12JnaFTlIWd+zSi1NGShSAcPvfa8ggk2j G/2tAn6hywV+3Fw0+1Wz1reQCko/p+kyBXmIyA3OX/KrOuyK7Fyq8yYPUQOP i5eZaMCkZCBA0zAf38cvfXJaAzqzNpRP9mOzrV91sjaCvdzUnvjIAlSZJ6L/ OboJFrnYFtzcKkLMBZZGu1ALBqqYFxq4IjS6W/h1o6029CUEfRi8I8LzDjJl dHRAU4pWrhtaiPf/eKxqbjPcXhDpPu4rQsSBiG9PXtEgiB6XuvBzMe4f8Noy shXWRHpOasdiN+9KL57WBb8ZtcrwbSU4vzz9NTw9kJkW7FRPKcXzvpoueqQP 1dtPCPa+wQ5uoSoe+RVYwU7fQozLsLVOdknvgOvjcvXtI9h1e5KQxU5wHDlL 97e8igh57w/uQ4aQ9SLCovrHNUSEveWbZZrAblVX0RDjOs67faHFzRRG3Qyl KWLsydi45RsQrB8L9xZvrUCEhuW7OTczCPIz0CKeYx/2la8nzGEV53pJ4a5K 3N/L0UyzhENx612NOdgSpaXRFCtozOct60nFztYT7TtjBZxXR/xn3mM7Pzq3 PcIaqlmbaTaXqnD+cgJW5D5guuZdn5y6iYiSjMKGNjuYGHRenk+txnk4mz3c Zw+JLIqPkwU2s3T39of2UOUdRK3hYxPWpj1v9oPsUZOESMMaRMjoZVvLOEDH maduS6JqETHPKDVhO4G7NK+6thA7rcBOLHaCf5LM5P26sU9RJe1zTqDBK+7o VK9DxF5a0pjQGU5lntBLb8Wu4LZsHGKA/lWFJaqUBkT0LlM5kMiEe7od7C49 7FPmo45DTGDfCGs87YrdXWNFGLoCr+Zl8Ksy7LuDugdHXWGkWTxYZNeI72dU ouR6EHKe7Lux/WITIjSvEY1/sGDFv7Hu1usBEbssA7r9vCDLz4VFs8K2cyiK u+IFmo9pbIWj2DnUnJQnXmBa2u89eAt79sKU0Nwb6ksF1bW6zYiwurO3QIMD 405jTTbd2C8SdcPHfIBRktnJXdmKiIGvnwLa/CDb44ztoQ3Y8drscil/eL0q sIu5EztxG990jz8ERZn3mHhgd5kf9L7tD+ccx/uWirEpj74XdR+BW/Pmz/6y bUOESLqOOhEIWg6fRtqS23F+L+KGDUOAGm1t7JuH/dsfTgnsEJAX5yYvr8Uu 2W3JOBcC3ylOug6vsR/a85MHQ6C3uZY7tKsDEYw3XxzOHIMIvdgfM+86UIzt DmOrp1zollNU1DW7gwhqh++Dq6EQW/L0NzX5u0iFbe8SmhIGJ7uNUNbne/h/ qU2XHz0FsrrV7+5R7iPiYpN/4booEPH0UuZUsR1binzsouChrc5TluV9FNNT Qj98Iwp+6VTkagmwf0Slnog8DS/vTBRVGnYiM7eViv0rYsC6pVC2K+IBIm70 3UZ1saByU2Hop596ULNlBMfTIQHcU+ac3yr3IGJcfrXCsQTI57zrvE3D9baP uU8zEoCmVF+fzOxBMeMpttWPE8A8lH1JqQLXZ/tjBK6JYJDtUsTf1ovM1tD0 F3yTwJNV5FEy1IuIHZXzZpnnoOa1xYMeeh+KeX4WakwvQKv/5XWuY4+R2UUb N44xH75om8iJA/tRjLKFmrVQCItmy+XXaT1Dk6nzszaLcyFxS56ySPAcaXw/ fKJWpwD+A2Pm1Sw= "]], LineBox[CompressedData[" 1:eJwVlnlYTG0bwBuFyNamVCgpSehNZEl3iyWKt7TIVqE3RVKJFlIoLZIQ0kIq 2ixFaZk55x5USCshpJIk08ycM4lKxfd8f5zrXL/r3PvyPEdrz6Et/42RkpLi kef/7/ht1gOxBa1geCivJMwqC2sjjeur9dtBc5HrolX3b+PsxN6hPHEH8ANL TY5fzMfegfa2N4ad0HF0/YP/nO5htoBbMyXhC/ScX7vjHBThlJk5TFdXF7QM rZr+wvYhxnuXeGbM7Qbh8Jf5rotL8Jd5QZdX+DewnqJ/LH5eKQYaVRZPf9oD qt2iAb+OMmy/V3m2SUsAMR6pnqfPV2CjSEZoNE8A7LPpzfmXK5BvsNY2yUAA ejIWrvWpFZiRXzVpq4kApD6rl0/IrcA9t6vPtdoKYJBnpWHPr8Du9OfnvwUJ IIKJWTKbrUBRfO2l0ToBTNuxKD7dlottLyf1u74WQE+n6hSLLVysn7jJkd8i ANmLA4YdW7l4L6ZO6fQXAWj+Xr5Rfi8X/SLrL8sOCSA5LdbNLISL/ccaryrO 7YXligzFz+bi8P7m1PmhveAyzKLNIBcdl+26sCi8FzRVTy4eO8rFO5zuM0si e8E6QMWrgsND1+QB/9UJvZBsba+nKsfDx1Vq1vaZvfC8XuFCxkweRmvu7g+u 6QXVxgtenRY8VHwrsn2uJiT1z0pVjuahz82jlnWzhdDT7eZveZaHlT5/TV7N FYLL2xMP9p/n4VFpee3WRUKQNbh64O5VHr43NB5iLIn+79D9wzk8vHE29JbK ASHkphxZUPqMhwssxv/x5AohePrc2ynSFBbmF8xr4RM+aJ14fDyFxkp29huq hZCRyBa5yFFo+i05e0ET8eeMCX8VKNx8Tt+G7RZCSxDlMH4OhQHvNyWHKIhA dt90yxEzCn9Z9j0WqBAONZ8bYUnhsTtXenfMFEFZt4vcn7UURoa3m5npiUDq nFHrN1sKr+j4fx1jJoKIzCDjw9spLPdPMor3FoGXi4aBZyCFZh+X7xz1Jfaa 4oZigih8suZTlG+gCMxvrUi/FUphjYrue7twERhaWO6sjaCwlSoNV74sAs1C N5+GeAqlJn6svc4Xgbt164m8LArXZ2rtK1IRQ/KIbVlqLck3eYputYYY3C8s yq6tp1AzYbjrg5YYvMJ8ewcaKfwd8maPjIEY2IfSUavfUHjXPtZ1q7kYDA2s iiM/UajIkTiNeokhUbopgSMi/gY+KSn4ioHvd9HznZhCobDmte5hIs87FZ7D Uljdkm1vFyaGsqDfvsv6KQwpdNmUdUEMPXnR6lOHKWx346/ZUCEGc/e6w/nj aax1uivtimIo3PWjWHsCjWU2KU8CKsWQOzlU6+pEGi+aBJqn1ZN8St8E+Uym ce1UPVOmUwyNH6SGGhVoNBqrPCzdIwbVknWB6ko0zhrmVKiKiLwryrsr0zjY /dHEckAMwY1y99+p0FhAn19yWY6BQdNDzhEaNCYXH+/Lm8aAX0hMdepMGiPz vYtoZQY0Hd/aFc2i0fWK1eKe2QyUOfgU1mjSKO87oL/KmIHnYtXTj+bS+Gdv 1/d/VzAgxbO9k6lDo2BbU66HGQPuDcKeGF0aK9cW6CZYM9DxbP81Kz0ag2a6 zfm8kwHrlxZP/RfQuMfO0Ll1NwPLRwrq9A1o3HyaE/fOk4HGMfpabYR1v2dJ 6vwYMPTVuLlkEY0KGkd0Xhwh/hpCat8QHt28bltlKAPTOJRZwGIam4t7+BWR DETUDP28Zkgj/1t5f0kskQ/mrNT5h+SvdlavKIHkryP3NJ/wqYiFiTnJJP/v hzOzjWj0ffjnaWY6yX/XuEHVJTRu624YSM9kgD3PuRBN2NA2wC3pDgMu7rVn HYxp1Ai3unS+iNir6RcWEh7/QOlZ3CPi74JJouxSGvu6vv6O4jLQ8tr2yHbC bSqli07yGSjcJ0m9TbhmY8ye41WkXs3d0iLCJWHbrgTVEHmnH3cWLqMxo1C/ JqCB1OvT5ytehOO/DI8ebCb+5U89TiccPL3uH+/3DMj+m2tQR3jvhuv/ebSR ePIWtvwivPn4oWtuXxjoETJP1UxoXHnfvG57D6lPShOznLBupzzHWUT0ReU7 7AnLK38xtu8j9t8ljfcgPLK+2Mt2gIFgGYcffoR7QqPS1o+QerV8nxVMWOC8 wOumFAsdhxziQgi7s4pjZkuz4JWRsPQI4bexI6lpY1kIHryueYCwjfbXpWqy LPhhvM0OwnxeXcPViSxY//R4tJbwMudH3sqTWXi+ZcVufcJ3mOvSl6ayMG2D pu0EwnNio9OnKbCwnLM0qJPklzzHzyRBifDOq50lhKfwXJrkVFhI7DuQcJpw pJPFgdgZxJ9ia6gN4SHx/LHjNUi8lcq5kwn7xijciJzFQswTm+k1pP5dWsPL x2gR/bCSqgjCjY61PqM6LEQcnfG9lfR3nbh43DE9FqTUU3adIsyLTs8Y1GfB znqH0hzCORW+zT8Ws+Be2L7BjsyLhuNWX38j4q9184s2Ml8XyVHHGLNQdtg5 fh/hE5rypoIVLGiaVbTtI/PYXz70Zp8pCz1133zbyfzud+g89NWM6IfZrbEn 7HTmYVaHFQv8VXl8bTLvBkInuXebiP4W58mRZF/KHG0xzo4F2YZL6jTZLyvK 8rCZAwuNuSf9JPo0bk9Y/PGWC/k+L1piNZ/GWMMJBYF7iT+fjfuSyf4qXfvr qufJgvkC5nEa2e8Mzi+FVi/SvxK1/SnaxP6rzlArXxKP2/fbJ7Vo7A7kbVQI YYGV/i3+S86TgE8P/lQdI/q/V7+qVyf7uTbvQcgJFgxD/eWuqhH7KlfUPp9m oWWbfaSiKomv/JDgfgLp97r+Ih45zzJG58RtyiYcx9NsGkfy85xhxskh82Fy bnjpWBpL66f2FeeReCaVWiRJ01h/Y2Sbxn3S30qL6auliD+Lt/N7y0l/sgom mQ9RuP1M7IuYBjKPSlG3Jgko7BaHh5m+YiF3t9SwbA+F/luP/sM2k36ZzX73 5yuFMXp7r239QOp1vV3/3WcKH9WYeut+JfMXV3V05XtyH0xlZSt/s6B3oNCj rprCV1Rc9IZRMn9C76T4Sgov+uiMa/hL4vOwWr3uCYUKNdulP8hIIHh8EieP IhxVNcpMkcDzJ0tiDIopnDac0qeuLQGX+VOXLcygcNK3ta2HbSSwPHJAVZvc j7WXO7YPbZKA14My46X+FMavOfb+hB2xVxQ+0dKXQrnMwrexThLg12iJbLwo nLhLvemGG/l+MbRecyeFsq/ZqpeHJWDu/XJCE7mvZTD1vnaaBHqUGsx3TqLw g+ka6/brxL9L+q4wWQrvVwg7Um4S9jHNTpYh9Xu0WkEhRwJ2sct41AgPi+62 B0o9kEDH7g+BT4Tk/ydNe+WnZxJoyUrhlL/kYVlIQeWVHxJILrnHBETx8IAx 9/0Emz5wd4uZ1N3DRX7jmztlmwjPHJxQ/YWLygfZ8H12fWB+7bb1zTYu4i0d 3SqnPohZeSl5QzMXFVUSAyLcifzRCsFu5CJ3yENu4Egf6DllpxUncVEOp6zu yuiD5HXnE0dWcbFgw54M+lcfWHeOGe0Nq8CfvWrTuq/8gMa9B7Nm95dhicN6 6aQ1/RBs5F1+SL0Uw62jbhR390NMzs9Vc9aUoNanjS1ZUT8huLJ/o8DjIa40 iUyaYfQLpJzyo286FuHOWQ1DnNe/wN3xTKXaq3v4s+Zcp9/JAfDzd2xWoPIx WcY1cMvcQZi2u56Wn5qDim0lmWMqB8HObLj+1fUslDpl8kTjzSDwFVc+PEn+ 1/8HIohJ8Q== "]], LineBox[CompressedData[" 1:eJwd1Xs0VOsbB/App1Buo6mDXBohl5T8Iqm8LiWTUuSHKHfRlEtSqMHkuIeK rnQkEvVzC1HRfoZcT1rN+aFEJjlyabpJh8Gwz7vPH3vt9VnP+3zfdz97r7WZ vqFOAYtpNFo8vqh70z4fc5c+ERq8NhBWv64QaPc9K4YUZ1G+hlUab2sOhOdU ZCg2zSLLzW+Dox2vwDODFCl6yByitfezTwRkgmn3ry+zwuYQj2yN+GCVCZWc 4suMU3PIUnk+jq2eCQUvW1WUouYQV/zq/uM3GZASusRQIx7XH/Fqd9lngFN1 vKPhNdy/tOAXHdN0GDWPyWEReP051Tml1WlA3xO+Pl5OjCwzGLxEzSTIb5Rf bk4XI+5WYlHyoiQw2lo2PrECe0bzef5gIjjojt3zURYj2mqpLrXbiZC21JNp pYXdbZJsoZYIvzxnraKZY3/u01dTT4CpbUxabIAY8XK/swKM4+GdIb8rugHn LQtoDrePgdtCeowEYN9j2IQpx4Dv/YM6GY3YpaLcm6McGNd6E5XfivMm/EZD EzgwtVqg1sbHdSenjQa8c0Bf9jmQ8RHXk7QqBegsqDZOOi8RiVFixI6kp2NR YDsiKS6XnUfcBMF+O+9IkL7LKjJTmEe0R14JLf+JhE6fCw5Niti0kq4QyUg4 OCB3p+dX7H7UtqviDHh3r7QVM7E7Tq1ZsugMnGtae4llivOOKRz5ozQCKvOQ 1rAndhZDP1w7HCbPTkr6+GDX1LVuIU+CqWuxcMAPe7qNv+7tSaiXl69+E4Tz nrTqJ2echFauwOpFODapP2QtCoN+3xivqiTs9cEqHv8LhaXr6nO45diRijbp 3seBJREaO1+Jrc7dVa5+HNLfa/qercZeSGnUGmAD/UaaXsRj6nke0uU92KAq 7f44sAk773x0r/sxMBaKehxeY4fT9beyA+FIhSldbQF7xDKE1u4Hte4iOT5t Ac8z9ePPC34gt/SpzG8S2Lq91fYH/IB3eIfUuBT21CBzTZ8vaC7bSdaswN6W 2en7wwdG/B2/7NXDZi/vsjbxBguFFULSADur0bl0wQuu13ePVW3AVtnZdzXb C+wU3YaVNmPbFXyoBE94AJ79wxbYnLXSEswjEKJyooPjjJ35UGFa0h1aWwzb Nrpi17IkzUsOgcbJb81Dh7AF0WE7WIeA3xbOs/PCNpX5nJDhBsano+sYbOzh gVt0DVeYfpVUVBpH7a++TxTgDNzEO+ffPcC+8mZSTmI/yEZK7vEpw1bY7pDI cYCcoGDFkQrqfO8GLab3QbX91sJvNdiXVn2L/r4XRuh/Ni8GbCU9dYkfe8A+ jyal14U9SGiJjHZD78Wj/LIean7lh9mELfif77xh3IvdbqiktM8WYv1v6G0f wHbLm1gbsgsq9Y3s949id3qXfiFsYFWdV+bpOeywTR2tOZZQWNLiMjuP/b04 vnSbJRjlGGjE0Uh8HnF4Sj0CVsx0RcoSbLeBYVl7C+DYXPwzVx7bzvdOetI2 kDb5++YaRezvnSmO/eZwTcfDt4iBbTa4JdTYHCqk102WK2MrZE+Uj5rB0CuC 0bQWu0S+gRFiCqH4K7PVofLtvkb0mIC4Kq3ohS62bu4RJjKBlddcTHsMsblX t7spbwa7w19dx7ZQeRoXZcc3QdmYWq7cXmp//XzRqAGk/J7oLXDArhQM1vyl D/5OX7TLHannsbnzflgPVBsaKve5Unmxt4Km10HaRY/WdF9smuvMzcNaYLY6 KjnWn0QaEo4hxq1rwXpG33F9EK5berP6yjVBe1gkMgomkb1xeq/Qigm6DT6z y6JJdDzHMMvERhV2Cml1feeo/NNyXkMqkGXNPZ4aSyKHP4g4m1xlyH5yhcVO JNHXl6mv6bGroIq43amcTOVPrdrZtBIyT0lmjadir/l/YEMWA44WnHTlZpKo ZdLF+PNTRXCu+SqMukwibd2zHgey6SC2vVese5XqV7kRs1kBaipPG7fnUPsz G8rPycBl1W+ihrskGk7u05TasxQWzDiyb0pwnWd798y4BHAW8dvdS0l06AKs n5NdDJdcq4/YPqT63We0N5FE1H5vGdkaEt0M7i7e9ruYsGuMH/tYS9Wf8QeU ZwkZVz+bsackevCpwJJ4PUX0vX9i9l+g6haZ5sGTRO0V5oJWE2VS47dTE0QW K/X5z2Zq3q872jd9I5qrHu5+3kYixnWXY6heSHTGVwi1Okg0pKqb7aT1iUir tK5OfkEi0ahZFT9plNAO4q3wf0n1K28p4HwkZnSFG992kchccMowdVxAPE6a 9uvqoep7nD3z+om8+R8tir34/PY2pRtNe4mx28K7gwMksrvxM+JRIp+wL9pQ Yy2g1teutJXlEzru16IVP1A+kL9D1EEsll+wGPqL8t65sSvNxKuwn56FH/H7 q9exHnvQSLDT18ynjpOIUJUJPNBeR8TV32lSFeJ5b8G/O/kaYqIm6dOLLyTK u+R5YUahjHC9Hef4eYJEgsjDwmrrPEJ374n3vJ9UPs2Kc/QyEaitcilkikQl pkXZQSiFiLi1e+TgHIk25DCvzxr4Eg3swo1G8/+u3+6vYE1c11j+N0n+axpX IePZPxhVD64= "]]}, Annotation[#, "Charting`Private`Tag$16209#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVz3s41OkeAPDf0mJ1cYk5dNwqKvuYOcxiHOF1qeQS6xZKdjCDseVyWBHW bVDjfmkokx13yaXcid/XMtIe0a7H4pAiW6aiWHl2TlHnPX+8z/t+nu/7vR0M jHBnSxEEwcHn/7cjW/zb4Cu2FX4SBYcfWfbFXN3lvchAWdOc3Ce+ruQs9fWt +KiTiPZzeWFa4yVSzt2wr3PHG0n099mGrBeQTuMzbbfUWQinr14ebiDZukHC ExCMXDa/kG9RvUf2TsfPXp64iDQ10lP7vyXJ19wpUQA/Cv8f9KdQHpJ3GTv0 bUoMqq7opKgKfiVFdge6hwWxOM7MW6JMk3Zl436B43FotsNhIb92nhRIMW/r VSfgeLj98RdLpIKLOYuXkYTcj5tceyD1goxRSklfDUlGaorm7/cHiMlNlkR6 mZKKerdW/xSsrJGndmWfkciko6PKCQFOdpskxTTLLledi54rHpP759st8qGr Hf2KcgZ6IpybSSmUkI4KjRakIBP361h8ILtDWjAj74QsZiJjv3oTk6c75KmV vsV32teQyoTPrYEaKbjo79+WFcBDRIrkgs3bXdD8k8uHuP3ZiJv439keexn4 ZejGobrtHKRh7+luYikPQ+a1/KqSPLSvvHaF070XTMe4G1eE+ajI0H1TR0UR dCTvH+l6FiCG31NtzbNKYGxqkOvLL8Tz8KmbdSrQVXCpy027CLk3fvzxLJUC ti29kx+fFaHgzz2tjiw1EKq6ZvLUS/B/as7GCQ3o4T/YpccsQZ9MW8YX6JoQ J80aC224jpKlH5dI5nRgz1ZU8n0BHxFCpL4mPAQrTX0DWZalOD+jpfLJYXDQ zY/c3V+K9oxOVHxe0IW5Uu7p5As30M5IJl3mu2PgkbPQ1TN4A++/yj5lpQ8i loXX4Z0bSG1m+GX5v/Xhj/buKM3qclzvL1fqEBUEvfX2/9oWoCjVJta9O4bg VjwX5nKkAhGLAiMbBh24R5mlR+5WoEPfiJ0dP9JBTvriysuQnxChsze0T8YY OLHyfE60EIULW5Qk7qagql9A8+FX4ngWPesrczBLGJM9ulyJpk72shP3H4f1 xdmLuowqRFgradVaWMBY2cE76zPYwjS20TUrcFHYOMFNqEahoR6aPK41SHk7 V3dQa9CwcQxNcckGZtt98vqia9Blo/HEl5G2MJkR8Wp+tAYRcpOT1gftQFfa 4A4tthbXF7eZ3jwBD3ZqaFOTdYgocOM199lDhEV6/o5+Pe5nsJmfcxrUEgLW j6Ri91ztYAY6AEei2Rb/jwZEhBa8m1V3gj2bfBPtnNs4P/jv0T0u0Gn0A//0 MnYKkf63Rlfwj/T4K8q8EfdLPbLo+i20rin0isTYD1WLS5zcwF181SLsZBMi mG+oLuc9oGzhil3npxZEnBYUf7ngDTYavjVPvVoR4czcyIr1gdfnGF/KNWOv O8VrKfuC1mp8UDP1Lp6X/Sbb9RxEcEz1iCfYZpWQtuwHyqzWhlqzNkR8ePjM wywAgtO1fM1Z2Ge9P61eD4D7VblfPc7HFhnRSt8HAGvp+zDJS+zQYgedzkDo 9D9m4HS9He+zMqNgxwIf38rW9Y0ORNAKz7QXhcC7eU/5qgOdiIijjx39EAKZ /nJsDztsyvWv8wNDoT0o4kBXCTYtL5dhyoF94ZYZCYwuvO/N1i1xGIyk/eec TFI3Iv7wZ5xPDAd6k5KMhlwfIjy3gw7RouEX2ghz3BB7UjvVJioamPfi7v/o i90m8lvoiIbcrmeRS43YmdyabMsYEA82z9eduY/nre8Vef4AFb873DMq7kcE ONr23bwMuz+n+tlrASJW/8wwzEiEMo63v8Ep7MkpYdh0IuhOGTCVwrFzZUmt Y0lgdXsmaH4A+4WO8dajJOi9ze/spg0i4nxTrJ9GMqx5rPY7TWB3JaYqvEoB r4bSsei9QyhlWiRYfJQOggtpzsEHsc96yurvpMNz5UvjPiZDiHg/oNVK5UJE ku1jywvYavWsmHwuXHNfm5Rtxj431r/slQED27Zz5c7DiDDIW/F5mwl6bm/F w9ki3F9s0HGGBweS7c1DKrGtvHwTeDxQbBZmy3eLUMp3CQXZozz4IOdBc3uO 4z70r7Nss+HXwe7op2YjiCh/7vXmeA5cMUz9JHkxglJ2O9dxLPJgQkFFhWY9 ilLosVV65oWQGE8/z/g4iqzLGtmql4rgf/SsHUw= "]], LineBox[CompressedData[" 1:eJwV1Xk8VdsXAPArpV6jMQ0qhIRKnijJMlSKjAn1dCsaVDLlFTJVKkleA0KG G6KSMj+U1s0TPTIkce+p8ITEdc+5Mmbot39/nM/5fD9rf/Y6a++191Fy9bI/ NoPFYjWQ5//vq61hCuKqbyFMx/qccsEdzLipHTWhUANhy60VW9bG4fs9a/js HTXAldztZOIXh5q1smdV42qA1W3rGjf3HrZX05n5+rVgfOPOSYNt8Wj++uHC usB3EDYaqnisLBHlC6XaxMQawFg8wFliLgddoiYcuhY3ANfGsWSvMgfTjnbX VmkRd2c9KTDgoJZcaekNZ+LgINPs0xw0PXc4Vi63ATh9ckoB9RzUS3LKjNnQ CId5Lx5E33uAR9iZBx+1NYLxvMF98frpWNxp9q7BsAkU1213pp5lYsWp5OX7 Bc1gPCJige0zHFbbtijnTCvcsupJYesU4IzxbMnlqhR435htu1WuBPV+HS7e ++wz2LIip5OWlOO7cN36Ko12GKu49HOD7mtcdat//LGwA7x1U86tsqjE/tH2 to/ancDp35IndKzGjL4XNQujv8JYpvmO+3U1uHBFFt3V1QW8pNjo6L31GHWy 6DhHpQc8h4M8N7c24ohxdpd76DdoTnNU98huQj+dysLF//RC1DN3tcUHmrH9 WeWN90p94K+Ro7JgaQtOnGq+vzawH9rKko4+eNKKDnoHb68P7Yf4xTamy3Jb 8alYz9Xfw/shYlM4/6+iVmTHj/psi+4n6xe60ofbiq/fLNtll9YPhWHcE/Na WvGa4pEh/5p+UJjfOz+RxUOZloE9b5cJIBASVUbteejx4Jxp3SoBTEtpqEw6 8bDS45d+k4oAHhVxladceHhOXGr15/UCKOk3nPnjOA/52rrjtKkAeFs/Pc4J 5GHqjcCH8qcFsP1ByLjzAx5qmsyePv5CAEs0u04d6Odh7pPsNTyuAGZ2VEj+ zvBQV9bWbneVACRqsuZLDPPQ8Ft8huZ7AYQlNn5NnOah9U0NS6ZHALd6QpeH SvHRl28VHyA9ALv8A6bX6vGx1CdGJ+rkAKhl/VxVG8hHo0+bXaY8B0DxZR77 SwgfK7Z/ueLpNwA1EQkfey/xsUZejW8bOgD+mbfM+yP5+Ln871C52AEYe6K8 LTmRj6y5n96lcAeAczDWP6eEj+ZpSify5IVQmTYlAJqPuvEL1aoUhOC+3sNO Z5CPitETXZSSEJ6e5zatGObjz4CPrjO1hJBx9eeijp98zLG7znYyFsL6Q+w8 SQkKZcRE+6bchTApwUQrLKeQNfpFVtpTCPG1H68kr6BQIKj5oHZWCNsLK7Xk FSms4mXY2QYLIelJk/eQCoUBuc5W6beFoKWIKx3XU9h+iLt9d5kQovx5ablA 4bt9OeJsFMKunR8fl5pQWGKZWOFbKQSu86fpMjMK7+j7GSfVC6GG7x2UaU7h jkXqhnQnyV++U1PRhkKdWXIT4r1CULnwaHa/LYUrJ8TKlgwIIdEnUeKZPYVj PZ/0TUeFIClb5qTgSGH2q79+j51HA0v61YsEFwrjC4MGH0vS4OA4qajKpjD8 ycm8V3I0rH/79uKjQxSy48w29K6iYcng1Op7rhRKeY5qbNUlfjjuLeNO4bRb 13ebLTT0JBhtZp+ksG//+0dHjWiwqJXjc05RWLkjWy16Fw35w/LxC85QeH7F IeX/XGjQTsrOCPeh0NVW2/HzERpahjxyI3wptL4sFtl6nIaR4aTa8LMUqn1P F9V5k/Fm4SrH/qRQWuFP1X//pMHI7LbL7nMUTlnv3F8ZSMP25yXxqucpbC7s 5ZaF0xCVOCld5U8h91vpUNF1Gg6/Ud0TGUDqX3ZDPS+ahtyZl0N3BlJ4KWzd rax4GuanD9VmXqDQs2D6n7RkGhRfvO+wCKJwf0/DaHIaDcocv289xNp7fA/F PKXhFuthhUQIhQqhZnf/yqPJffLibiTx7HzZ6shiMv+TJzYSoRQOdnX/vPKC hj1FP4YCiNvk/15/kUuDYMHGS93ENRYRrkFvaFDPkxvZFUZhUfD+uPM1NGid OGOTQczJ1ajxbaDBladwc5Q46uvE1JlmGuw5Ss9ML1Lov7hu40k+yc++k3eF 2G13yrGjbTR4v02J4xJbB3klHPpKQ0f+Xy4/iA2eG9cd6KWBUa6esfISWd9O KTHHAbKejtwIY2Ipua+6doM0BL1bJDxAPGle6L5nlIZwazedM8S9gVeSzCdp kB26uO88cZ+jpvsDFgN+a/Y4BRAfZmRmrBJnoCLrhf5Z4pbrk/eTZjFgeP3r yFFiy9Xdm5bNYUBBl4mxJua+rGu4N5cBlyNrpLWJ9RyLT8otYMB5ca/nb8RP 6RTxu4sYkE15kk2R71e+fi1ZUpoBi4usf9OJ45W99aNlGYgJiqk+SrzwpfP7 efIMTPppPFpBHL7P5PT1pQzkn0o9XU/Wb1y4dtZsBQYOnPoufZ7YM0I6NXwl A95B8qnyxF1KE5tnKDGw+a6dVC7Zn0aHdx5TqgwczZ2V85bs705hocQFdQZY vpb8XcQvryVzxjQYUAnVFXGDKcwq82z+sYGBOdzYvnjSLwoOTp4+OgzsdElu GCP9dWcA5tC6pB7+8Sxb4hBFKcO+LQz0yZ3Q7yX9OVQ6/vGEIalPa+DHGuJT ezu9uo0Y0Ij4kH2I9PO+qwXpHWYMuN9wlf+b9L+WYN+8VisGLtXOUJMg56XE YQ9G2jLQEqEnoMn5Mis3PWu0l4FHZW4ujd4UHoje8OmhM8kvn2HxpyeF17V/ y/ZzY+AWpfDRhpxf2YRfbPXjDGTYZBymT5D+ExuR/uzOQFnu0tIrx8n8TZ2B Zp4MVNqc6opzo7DH76WFdACZL7yzwPIghb5f8qffXCD7LWe/Ke0Pcj53PM4P CGGAx0/PofeT+eXjlv13mQGJXR8TvMh9ZFbq1fc8mgGPmKUSM8l9xplSjrTK YMBTEJQVbkTqO77USCyLgVwsP2dlSOHf9YsGCx8zsESjI22BAYX1qZP7FZ6T 8dlK6/02kXwmLWv7SxlotB6kKE1S79Xr/0Y0MDCkmicvJ0++VxgabNjEgH9J qYaTLIU+Tuc2Ms0M9HpelLktRWGEuluCE0XqY4dcFcyjsLjG8KRaNwPawdIt pizyP1jEzKn8ycBc9WsH/b7xsak88truKbLetqtMvbr4eMdDVaLhFwNdVooh bv/xUbrmgDg1UwQOF92XbP5EfOXNFL1QBI8SPO7fqeej5ETi4PLVIpiTsFNG ppCP87/t+HzWUgRdlllL/cj/8V1sx4FxKxEk2t/iZp3jY9T2C/wQWzLeJD3j oy8f56XltlzfJ4LFZXomiqf5OPfg8veph0Tw6rJbnM8ffJzzgXlTe1YE0le1 pudu5eNMvP98dZIISqoMiixGeEgZbt/VniICXq96+1kRD5+XCToSH4hgz+wd tvcEPDxQvE1aOksE8xkpzbpOHubltPux8kVg+N948XA9D9lJqw2+VJO4nWmB SSYPSwKyK+N+iMB7o9cmlh0PT+u+4P9mOQjFXq7dLfGtmL3blfNqZBAqFhTL bpRoweH+ZZI9cT9gzLK9of1MMxbtNReP2T4Ebz8Pd3WnNmHoriuphT1DEG41 N1+mrxGVvljw0q8Mw+f7f7yrCK5HA/3wmKU6I7DZYZ32VlENuqxsGBf7MAIZ aUvq3MqrcbjmZqf3xVFwf+qwxtKjEuNnsv3sVcbAO1Xv9J3Q1yjTVpQ2o3IM DrNvGFlzynFW8EWHLT7jYKtgHzVgVIKsx+znndI/4fAKjjcnuwB9E5/flK74 CWFPa7N5vs+wXDNijpTnBCieSc4qrM1EvWb5ujveExBm45ugl5eJuUFZt2XP TgDrVwJVHZeJaXVVy5b4k/grbdslrpkY4TVr3apLE2Ccqb/OZ/wh2hdcslsX NwEdiur14poP8ZtBcOLuV2T8JjGTooR0lLLw1bq0cBLCRlpXXnvIQc7rRfMM pCbB2NzLfzqKg9pbcr6LZIgVqdURfhy0Vu/NPLJ0Ejo+uPo1mXEwUoKtZKIy CazyvTpXq1Jx5j+7F7MMyHztBSkalik4slWJFXKMxK3eh8/2vo+f1zV+CHhJ 4pohna7qcZjaLxUsjsR/OFdriseh6+O9ajdfE5tOf5Nti8XvKq3+nCqSf9H5 NvOYWBxZ3raiupHEq/yztWfEotRcwQnZ7kngGk0uXNh1F7d+aot3Hyb5/t2m UCl+F/8Hbm31yQ== "]], LineBox[CompressedData[" 1:eJwdzns01GkYB/BpRHKNlHYiKdUoYW2LLrzCjlFJQ0VKDGKO7tEaxSBRZhy3 dJMVaWjbymC21Ey/Z9IoRUtF2YpU0mQSFYUav31/+8d73vM53+/znMc6YnfA NjqNRovGj/o1Fbom58Z+II9S11HGzQJo5orW1ptqEO2zyEiWnA+BnUZl7ebY nK5hzfJ8CG+bxvphrUGpoeoanRt5cLB+bp6vM/aCYYYPPxckJcimZyvuOwgC DatF8OXAl0lcLnbwopZXCSJwDqpUd0bi/rdGqyF3EciMjWuf8rCl5S6PHgjh TmrXyqZ92H+la8d/zILnEclhNZl4/rSu3prlR0Fngawo9Qp2fID3Mq0M8NXa LdBIsL05m5UPD0P2yzkRB2qxbVb1iUoPg8kpoW18Hd7nkhL+2P0wWEwOqYup xzm7eIWXIB2c1CPta59gt80cPKd7CEKrnE0sx7FzFnSmnhDA1ZARo1baOKLZ Czc2LxeAkc4Ng3QtbA89g8pXyaDY4qb7Xhc7WNU32SEZ5uh5k9Kp2FNCK9Nb D0JvFKd/jS02Y3ODi30iuE+ZqiYXYfdZDu56wYeTsjZVjT12m53rEhEf2KbB PTOWYFugFl5fAlyErc973LF76h8lVP0Ouxg77iWtx85GExnr4+FOw+K7DkHY R7s/MPXjwWrvgPL1JmyX4mxlfRy03t2nYIdhWyqzy36JA6f9idfMYrHvu8kH Zu6Dby2Z4ksp2HMCjRp09kBqRlnai4vYNk/TJmTxwDBh0iruZexdFwu8rHlQ xNtp2luF7Wo+EHcjBmpXLy0fkGIrhLklA9HQa/JQSQfs0soIs23bYHUJTdf2 MXa40NInKQI6cqNbL7djD/n/vXZuBESlNZ9y6sA+RPfxaOKCIOqU7YpObMnZ Od2WXJAsdFzt/47qu5mYFYfB9GthOfu/Y9e9qThQGwLlFxo2jmmwVVpDB2eF gGPRIqsUGoloPGkaS7QJfJO/VR3Vxl6XF7IkNhiSvHIfnjHGDl7ICnXbCK9b CLP6udh8/6V2rgGw+5ZNJ2s+tq5Fbzhw4EeNUNzExGYXbuWwOTDtxEbn9sXY EnonN2wdsLd8DFK5UPNC6SpvP7issjxjtAZbcZ1x/DMLjv6REd61Frtbu2PY mgVRAf3zrnCwU6MZyRt+Awu5XOIXRN0ntvvU6AXC3M13siOwG4fDJr/yANeZ /COCKBLxNetuxcV4gOfoQo4dD+eluWXdegjm9YyMOO4k0bk9k0aZshXAlHPH 9BJJdCzf2FBb7ALeatq1Zwdx37FNrjnsDAWeqduzBCTaca09sjjxVzh2vdA3 NoNEfoMM5/gPTlBDnG3+6Qh1X5i5X4AT5MRNKnifhT04n94c/DNEn9sblJpD Itl1cYLTBQdYL/2o5ueTyErJvxejWAw/WBWVzOO470H6ByYtAqlkv1NjEfbs sYRny5iQbzEwIj9Poka2z9UEk7kw7ppk+PQCld8pIcysIWlCa2PIJRLRl5mE +OpbQV5QbSirmrpH3G+hYgDfP9zAUEoi1o4vL81lM4B965Dq7VWc06TKrqLp YBAU6aW6QSKfK0NGOk+mwrOX1103AJXLH3z6OAWuFlqP29RT+wribARGUOCb dXtISblwjMfRB2VNtc/tuyQqKpwdEBisC82HqtQ290i04B9rA60xHRBKPGuP NJGoZOUZ+9y6iTCPp5ga9YDav0xj95UOo0y1w7+PSWR3/mu6Iv47UZf5LfJx O5WP9LYeHyFKNJ8bTDtI5CwyFw8WDROqs+rz3Z0kmqgt5ryt7idWi+2lnl1U XyAt6fxAzA85kWj6inJjut6edwTdeNz99RvKrttnVbwmWvYMbS1/S6JqVcfO 7/rdRGz2bE3WexJ5h8GfspvtRIqsrN5CTaLTGY3eGdxHxCdpZl9TP4k6hnJs fRT3iaCzKZwPn0gkLa5NuTVLTjDX7HipGKL2zx6NZEuImHmMvF1fSTSjdqZn prKCiC/26Q38TqKcTd5+g+vTCHlsuYOjhurT6Iy9XOKklf4wSf5vWimz2e0/ b2o1Dw== "]]}, Annotation[#, "Charting`Private`Tag$16209#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, -1.0776619596697401`*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}}], LineBox[CompressedData[" 1:eJwV1Hk4VlsXAPAThVRmDa4GJaVRKlRuS3NChYrcyJShL7MGiigzSZJcU0Ih GTJPtczdzIlmKoQM7zkkvOdF3+6v8/yevfbaa+2z95Yzd9A7x0dR1JJZFPXn +z7XMLTEJRko6o3SnX5zlOffkL7p0iOgxPIuXp9zDmunkze1tT4GSi2m96Go DTqo37w9rZgCVMuVie8fbXDxVTNGwfuPf61JT7NF28mlOW6bU4H6Khn0Qvd/ OP9n5PblIWlAMcflNzfYY/6Wi5GHu4m/eqon5jqgiaP+hNPOJ0AlZF0/fswR s4ZFi6v7if9TXJMETqjXH6B+/sBToDQcV6dud8GoDvd9+TOZQK34tSjt8mXc I3s6ufNkFsnPv4pP6AoOGKnOEcogDltipRh9BZcNuVlkbMwGSv2WcU+VGzrY qqymPhNXn1q7eOM1lLDMSn2klgOUn42IbboXGp5+mMWM5AG17qbcPF8/pD+d EE6UyQdqfO/Gkm4/9DMROqe/jzg0Pkl1nz/mWjjIFEQQv7i/J352AIrY/+17 VbUAqJLqQ0vvBGLNjQ9GAh6FQBn948ltCUHlp+ICskIlQEV2DNiM38FXm2pM G5WIM/mtUDkcTZ9dKfU8TexiccvTIRxvFXxx/PaE+OdFAdWBcOwvz/j0WKcU qDj5pDs9dzG+XfPZlrtlQJmu2fZr6B7O++195tAyBGr9WF2GdjRG2RqYbDhI fM6NrygiGuXbNpiK2xMHPK9d0xGNu9PeWXx6Tvzg8gI1hxgsTovML9xUDpSz nqpsVCwO6w+VaTURf7b9MjEVjydT79e7LKgEL4N5C8PmJmKs8Q1tKzlijb/W /tyaiF0Sdo2G2yuB8jE5HmiSiA4ee5v/NibjtV6DR/MSMVBvuFUwgzi4+gaY J+Hzqb0fY7SrgMq2ait8mYyrdTn9VcHV4KU4VChWnIIy1w/ttH5YDZTqpu6Z 4RQUy0gIFi4kXiRpq7gqFVkh/U26XSR+2abgraGp2FJe6NKpVgPU6RF9Wes0 dFfynpn8Thw4b9ce+XRsEpWS2qTxEry+P5L9Vp+Jl5t2QNTYK9AoW3rjpE0u imzK//5KqA4oQ/dR6YBcTL6lFMKTrQONpI5KJiUXX2uv+WByoA68psdu/urL xfX1Ui6rI+sgIe1JwC7bPPzykn6co1oPGq8uJxQ75uOhikcije4NUM6X1uJx txAX5Yl3zprVDKZhyr+XrS3DMyG8Ez0Lm+Hrxe1vM3TLMNHye33thmYo74bY f66W4Qbp4uJgw2agtqT/lGwuw72XTO9JZzfDis51VROXn6NKrMHjiM0tYJrU cCW4+QWamTw2Tu1sAaZUvoyuK8eCrn0NzeqtsOJ/ZhlBWIWV5+P+Oj3UBivW ly8Zgzr8pfC3aIbdOwjzaFFWD29BPm662F+rP4JG4J4e2Yo2VPltWqCf+RnW /ogINZH4gA0+25pq132Bw5Gh6vWZHbg8bJCbxvkK6ijzNDHkGw5OfOlsV+qC sFiZE877ejB5oLROJLQbGrYV2wVb9aHI0hS6p6cHTgiK6Lk8GcAQ23yrBPle sPS7X/3t8zCOa6T32Fzvgysyiq5fyxh0Va7OW1jVD/lqg++S3UfxS2Z18Gu5 AWjZo1H40HoMeefbYhTdB6FWaERioc44rt8jOGNVOgRz3f4nJSQwidlP0te8 Lx+CwIBGY80Fk7hN6riuZu0QdGk3rQiQmkT1vqjk9a+H4IjT6h/TKyfx6K11 WkzvEIS1th1/BZPo/EEnyk1iGEy05M62X5nEYqcI5RDbYbiX/1eBdf8k7v6k dmbafhh27srR0KAnsXJ/h6+96zDIqGGE1Pgk1i1S+HD8+jC8zTfXz+bn4ufn hdel7w2DaWutUs4yLlLCnxriy4fhs7O/f5M+Fw8lylk/W8Qh/QdZNRVzcVuU iEKtLAeGlIZlbyMXV4Tyej7KceDSyMs4zRousm7t5rM3cEDiVtX99BYuZugG mhhocODmNWfPFX1clJw1cnLahgOpy+e350mwSE10SEnYcyDES3Nm9mIWh4bq 3ii4cODUDTspnaUs1r5P1j3uwYF1P2Pdqtew6JZtqJN0hwO9i/+T1VZn8cvZ 8v2aJRwYLSqojLFgseFkBr8JcuA394WLoQ2LRVrRlc7VHHh//4i7sB2L4aqu GrFNHLBp31Khc4nFA6Jr1ekuDlTn6gVpBbCoPEeax9/PAZ/KrL0ZISwu480q WTzMASPZHY/57rA42ftJde8EBypr3G/6/8ti+ovbW+/No6HpSfa30TQWo/Ku jaaJ0aCzsfHgYAaLPk9sn72QpmH3gqSz7c9YNInct7l/OQ2GMapRHsUsittP rNu1jYZWmwadhf+xOGPR8+PYDhrOdzXdiKhnceD061TL3TRYCavJ8TWzWH0g XSH0MA2R0UrGT9pZvLz07MpvZ2h4ON+9b3UXi+bHlU59NqMhatePYcHvLB69 OSvonRUNlbLNAe/6WFT4kTTS6EjDfxX7tu8eZlFC9uLqVxdpcLU/lthGszh9 9ODpancajB4I/2MwymJbXn95iQ8NxfGalismWCzvKx7LD6TB2f+CqBWX9C8T vPZZKA2Z696WRvJYvOG1MSwliobghJrWwt8s2ufOVCXG0aARFxebMouHp3ub J+ISaTBZ3qbgzc9DJW3nsxFPaXi0/19NRoCHstf33b39jIb3dcY6vkI8FMyR ehlUQIPZjGs/nzAPR3u+s76lNLipHXprM4+HnYsKN3mX0yDWINJeMJ+HdUcC zK/V0DB3YvnjoQU8zPc4HXm5jgaFm0oiwqI8TMheV+fcTEPf2fh2ETEehnTz pu3aaAhwzvuPJb6ysHGL7QcaBFuHChvFeWihGX/OspOGnQmbr/hL8PDoNYd/ z3bToPRsQfcaSR7uzNJoNOqnoUZl/G0msUKX+KxTwzSEZVmpykrxUFy6e5vu KA161lLDDsRTh/JstCdo+PeHSG8acb+7b+yhKRpGv3yUriMeOLXe5iHFwEfa 52ILsSkjybecn4Fj2k/5nxO/DZyKiZ3DwO1mn+rbxFqrvm+XEWLgfkRLxWHi 8rLG5vvCDJivey3cT+pROVVgK72AgWtxSnl2xE/peP67ogxI53W9+0D6WRno HycmwUDM25mIDcRRKx1VQ6UYCFW7K2pF+hcpM3w9bxEDRQNOjn5kf3xO7vlf 4BIG6sIme26R/eRyFOcIyjLQ6PUm/poID+0DJB74LGNgyZLnb/TI/vfI8dT4 5BgIkd35XIz8n5YTDRemVzOQLKv7aP9cHh7k5AlcXcvAiRm7NaWCPCzzj0uY XMeAoXGEpQw5Dykl9m0/NzNgevDs1gg+cj5OGNg7KTMQkF3xTxbFw/BhEKK3 MRAhtOpC3gyLnivE1Qd2kH5pwZseLItjxdx2a3UGLshtXr93ksXz+l0O33eT /Hs3zIz8YvGkX27S130MeKxPtJcaYXHD0Ml573QYyNLT8LPrJe/HCW0MOs5A pU/6x5PdLO57vtdltz4DO7+XF6/9yqJR6OZPjwwZWBbPl3P7A4uBSnPTXS0Y yB7Z4WVH7m+va9kRCTcG9jXuDS9NZ9G5I2em5ioDv3pj291SyH07kJbj5slA t80W67VJLEotipT5dpOBpbU3MwyiyXrFDgNZoQykPEoYFyDvU8L0yiCdZAZY SZl3PaakXqslu2elMBA7x9Dg1T8sFjaJjualMXB6W8yJxFMsNj2YOi2bxcC2 8G8JytpkvT1vFQeLGbAoHlNtVSH1+wW+CmhmoLxt5pKqMIuSooxQNcvA3uY9 TNETLrY+D/LXnGbA7+al7uFkLoZfWC3Q/JuBFwOSa5Y+4KJEnRH/x9kjoG3h xD1/l9i3ZpoWGQH17HjF2qtcFONFj/61agSkLbQvhWhxcX7fgc8uWiMwLjaW 2943ibMxJmtV7AjkLu0ucFw4if/bVvphrtYoUPHjGoYq45iuaZ7wYnwUfOOy Iim9Mfw1KCPWG/kTiop8i4puj2K+/iH+iP1jUGKUZwrPGLx+2PdBXu8YrFhy wNZ2FgflOo68T/L9BZucbI1lWwdwp6pPxBLlcQiZEnFZ79+HZ5Y1c2e9GQfq 7aCu3YMe/FV3q8vRewIC5hc6tD35hlGzTVz15Cch6oeSp7FyJ0p25ifyVU9C eVrvlRz/DzjHw/vEDicupLJ+cv09bUilmWR1SbDQ0ru/5A23BZ2js25JVLLw 1TO43tG4Dp+vDxASt+eB12+ctfJ9Faq0LWoMd+SBUu1Y1q2KKsy+lnJHyoUH 1JFnmgLpVZjYWCuz+AoPGP0Ve5Z5VmGAw5yNy2/w4Kv/Ec0f8lWol3tDd2Mk mV9jKDTkWol9Oz2iNV/wwFGO/8LjZRUofsR5ww2RKaCOyXJ5W55jQoXovJ3i U1C+6+3i+ULPUWlHxo8RySkwHfu3YmdnGR5d2//YbMkUaHydn/0zqAyDBEzk 9siT+FVv57d9L8XZVZoLqZ0kvnW73LGHJTi+S47yPEfyC11S2LK5CD9vbHnj VjYFXih+5tnjXHwwKO7Bj2Rc4PeCp365aJ6mr3CrguQ7fMqmwioXf8i/u5JQ S9aL4Uqrr8nF8b86l75sIQ5N03NKy0Fx4SFrqe8kn9MStU85z/Bgr+BU5oJp 8NozMH0qNwvnJms+UhObBqqxY/CXWxY2mAUfrZQglg5ZVqeRhfodIg/bFxHT HsckmjPRtE364JQcsahngxwnA69WrgrTVCH57FWC1FWeYnY8yPeYEKdebTfi pOJP95+CZmbEeon+D8pSUcUgZbDDgszX7z+6KDgVS0VFc9/ZELfPW5ywNhVr vTr31DuT+HvyzgutUvCTucfZHD/irUIr7g08QoE1pdFemSReb750y5Ik1OR3 8JzOJuO9WvmunEQM+bLS3D33T73cHdpViSgeFaToWkT8N7f/rl0iys41KrKu /NPftce+1Q9ReXCy/ejbP/O7WpirCWicpSK+dIaM/yfYky4XiwVGkyIt1AxQ rlS+6esYFBEomX+Tn7gzKDnEOwbLz/wt9EOIWHC8QrM7GlcK7/+dJ0l88PdK w6f/Yq+l7rC2IrHmr9AXJ+6jvcyFV9dOEMcdqHedCcfamo0vNxsQS25Tmi4L x+VOdHXXaeIxDOddDceWl87lh88SF0vLG/HuoPJFt0Kp88T9v1XifofhRLPf o6fXiY/aKpqph6KX70Pvz0+IVwYUGFv544LLgkfMMog3HBD0FvTHaBs7id4s 4vmKb+zT/DBXa0cSnUdcF3shjfbFXvHX1XxILCB1476vD2rFU0KKb/7031St /s4b39+2asloJ65u+8j18UZL74Yo5ffEu509rm/1Rk/LKEX1DuIGgY7ucC/M XqekdayP2Mdlq0yBJy4sPBt6kUcc9uKFl5w7JqXWnGKniYc8Yn7cc0Ol6PXL r1O/gSo3L+ic54aaHhNZAXOIy1r3X5i6jNf23X4dI0qsXlkrzFzEruYXUpWr iC2lrSk5Z3SokO84qEDc1hdEZTrhVE7Qo/q1xBd8svzUnVA68pRK+0Ziyn7j KhNHPHyGY9CvSry4vm65tR1m9C+NEdEmvgK82zrWGBDna9p5lNimxGzghhVa 6g2vztT949ERXuk5lC0ry9YxIFYyKfp7hyUabLeo/2ZG3HJuV26gGf4fRSdE ag== "]], LineBox[{{0.018527738344276564`, -0.00041773003312695067`}, { 0.019628681609693666`, -0.0004756134233865339}, { 0.019628681609693666`, -0.0004756134233865339}}], LineBox[{{1.9730157104597952`, -0.0009689507773460448}, { 1.9752885790904147`, -0.0007964286977211188}, { 1.97771928062301, -0.0006332386697170053}, { 1.9787207152144783`, -0.0005700720622687783}, { 1.9787348917843108`, -0.000569226280091628}}], LineBox[{{1.9878216550560006`, -0.00016158173214630978`}, { 1.9892207977123333`, -0.00012246897415714203`}, { 1.9897035508114822`, -0.00011015535555269906`}, { 1.9897035508114822`, -0.00011015535555269906`}}], LineBox[{{0.004330457838550809, -0.000014846056192396873`}, { 0.005417489561734625, -0.000025033090059523033`}}], LineBox[{{0.014153764658858663`, -0.00022737018734630965`}, { 0.014805055429162054`, -0.0002517715721639391}}], LineBox[{{0.03276828218404136, -0.0014909980158881453`}, { 0.03877345108030803, -0.0021617249938721272`}}], LineBox[{{0.0015835426096924678`, -1.374905672868465*^-6}, { 0.002498553563646729, -4.068215166519451*^-6}}], LineBox[{{0.02178799830232559, -0.0006010566950802598}, { 0.022614659439428423`, -0.0006558439288847928}, { 0.024392215195720882`, -0.0007736520106362832}}], LineBox[{{1.980216524766344, -0.00048407907265257677`}, { 1.9808195907502975`, -0.00045155375610930976`}}], LineBox[{{1.9914196500123493`, -0.00007251247711881348}, { 1.9924419094414973`, -0.00005415336285371146}, { 1.9931356869355459`, -0.00004334729392674319}, { 1.9933221566670647`, -0.0000406716808871721}}], LineBox[{{0.02634958893945713, -0.0009189416682389151}, { 0.026844438154139595`, -0.0009585319036565408}, { 0.027669001512152964`, -0.00102450080184191}}], LineBox[{{0.01625108857998861, -0.0003110981792965951}, { 0.017175101510522775`, -0.0003521572669962225}, { 0.01725222814019493, -0.0003557330701013939}}], LineBox[{{1.9972083674759915`, -5.2885490990917106`*^-6}, { 1.9979406775092352`, -2.5714605200732876`*^-6}, { 1.9988593097021097`, -7.088262592358363*^-7}, { 1.9993135319588609`, -1.8397797596492182`*^-7}, { 1.9999999591836735`, -1.0776584069560613`*^-8}}], LineBox[{{0.010452116315053678`, -0.00011400153348795072`}, { 0.011449102014118605`, -0.0001403706337654853}}], LineBox[{{0.03060659187613595, -0.0012818095295781262`}, { 0.03149277197995973, -0.0013655199136426432`}}], LineBox[{{1.9626724852278754`, -0.001988084649893196}, { 1.9635202768839841`, -0.0018898709802890323`}}], LineBox[{{1.9837694148334848`, -0.0003099548666902763}, { 1.9848985602377929`, -0.0002633268495948471}, { 1.9855849874626057`, -0.0002369950434770729}, { 1.9859329599986912`, -0.00022422324607074273`}}], LineBox[{{1.9955382299177344`, -0.00001592013712414797}, { 1.9956089530489183`, -0.000015364263362110715`}}], LineBox[{{1.9824060028682993`, -0.00037186035634391115`}, { 1.982493904629403, -0.0003676419219766913}}], LineBox[{{1.9707098218150039`, -0.0011626808300713165`}, { 1.9711700157415382`, -0.001122502377022272}, { 1.9716526097143128`, -0.0010811816135953833`}}], LineBox[{{0.007984504445927354, -0.00006199057244988531}, { 0.00918978315958251, -0.00008489074555839693}, { 0.00918978315958251, -0.00008489074555839693}}], LineBox[{{1.9676892402150108`, -0.0014453103320670735`}, { 1.967755017501798, -0.0014388043978863507`}}], LineBox[{{0.02514923683282817, -0.0008282485598813949}, { 0.02514923683282817, -0.0008282485598813949}}], LineBox[{{0.012881336336973713`, -0.00018358894598602404`}, { 0.012881336336973713`, -0.00018358894598602404`}}], LineBox[{{1.9871838999539597`, -0.00018148180278032555`}, { 1.9871838999539597`, -0.00018148180278032555`}}], LineBox[{{0.0066929997658162575`, -0.000040885619287500674`}, { 0.006747386089046483, -0.00004165844332337798}}]}, Annotation[#, "Charting`Private`Tag$16209#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0Hs01HkYBvAvbTVbrei0uyWiRc5KcxApxTs12dGSk2uZSkQs5Voh3Ui2 Oq4dreTS0hpC00z0G8k475BmMnLJUWJqZJpQDaattmixv/3jPc/5nOf56111 IMb7oC4h5Ff6/k+7F4W2JnaFQPQTO0zOHEB1XX2c8V9FQFgZ2j5JKHrlDUR6 rr4GpPtWDmtOBFq7m1UZymjn+pucMI9ExpzDI8Phf9I9+2qwxyHc3zBzG31L gbxM9t0sjMLvf85l7s4vA+IWedMhNA5TGXWWF5eXAylQNHBWJqIV59KF2lja ScHx5Z8SsSc95o1CRpuREEUeJ6H5HOsaZgIPiHAd915eMkqny5m9PRVAYrnz vbefxkUf8h1MMquAPDtZM+6UhpTtsXy3V7QXDT/vkqZhYKzP5zinaiCaaHm9 7zkUjC1uaB2lLZTvKElIR+/RC5sjXW/SPVv8sOc8FrxIZlMzt4AYsfrfaDJx i1FAudJPAGR0V2/g1Sx8y3Wcy+DTzu0pHORk40rN8RD+WiH9v5aiuTU5GBOx 3oI8p21j7/1p2yVcEiq4wdtQC0Spc8LS7zLuDigTaN/fAVJdM3RmUxFOKHwX XDekgHiGHG2uLsLfAxkHfdi0o3mct4bFWBcSYyi6TDuM+/f76WLUi3ZOP+Eo ArL1irGi8xo+ONvPnXeqHkjvR1MDzzK0u2kwz4hxD8imZio+nodtzAdBHTa0 R34T/3GXh0G3kxpPB9Deu9Fl7SwPs0SDsUPVtPeEtDVkVeCohK+o2NEIZAUj b7uwEq892X7bNk8M5BurSLeF1bhwNnUvZyUC6TjZ9GqZAAsidgVa/0JbdPfL x0MCNO+1DjKIpm1tQCWgAF2q+kIUTbRdzg6+XifEhqp8qp4pAbIle5NSKcQx H43YvVMCKTGKyn1Qi343rrQf+a4FiNSXKrOisHjfWY+wVbRdBGEOeyhULYnq 2O1Ae81P53UyKYw5tbXLeR9t0DFkj1N40XusZz6f9nF+5SFKhE3/bh0o8rgP KX4t/j6ed9HCa3z0fkYrpHzbp0mrbkTDMxyn8LJWICWqvUPDjajPL81YUE/7 B9uAVDMxTjF8mF4q2oy4qQslYuyW1B9RbngAKfHpk6LLTZhskzrz5TXtoyX8 7BzEzsVLlzJZMkjZrza7qmjGxM6NUPCxDUjwsWn7cCnqManXbQw5SA4vGzPP kGJ5lk3mVyM5EI/RYVuBFB97WPYHusqhlLVz8vpnKa5pX3rEIp/eGz0tHLoo w0HZREWtYzuYFtsNdNc9RE4zT68j+RGYwunQRON2/PGOgVJHpwtexlm6vjfr RpGK/ahrcw+wYOdy93NPsSWyZEWAphdY/TLT7K4X+Gm182J+VB9InNu4Ya0q 1J2s0V9hMQBujof9zY6O4PrZIJHPrefAmuCWOLlr8NE5+06p1SCotV672GIt muS+m6wafwlaxg3d2Icf8N3nQeUTGxUYTb1TzT77B8vfNsr1sl9BkuOwdjx8 CvWMKyfUajVo5boB/atmMDOCCis1H4Y7Qds2xo0QyYTsq3+w/Qh8cZ1WszN1 Jf8BbuxWYA== "]], LineBox[CompressedData[" 1:eJwV0Hs802scB/ClQmo0qU5KLklTFPKSFL92wsvtSJcXJbctJEINldxGOK6t m14z14iKZju5dqy+s1hOxEpm0VTqLKXrUa6/cZ798bye1/v1eZ7v9/s8hrTo AyEqBALBDy3lLqmpD/or5Cc25aR4vzdPRZDiklHWIP+JTZfcvpGNEwSGMjdp ZcYvzMQcn3TeNwd2O9KvrbGawPLmyYKl+TPgt753ekHfBCa4WXN4NWUSfj3J HzmVOom1vHPcFP9pHFiLAmIPGE9hFta9BtaqP2DFcGOFSvsURk603jjY8xkW J6Ue2nl6GpNq9fhjxR+AcCeAO6I9gy3/HkeNsX0HdDY3X1s4gwneL6IUf5fB gy1Z6qSoWczLrvjOaJkESG50szRNHFvupLuKc18M5W1aS+1IOEYwG7qlVSEG i52cjz9W4JiXtYR4IUcMnuTRauoaHDPgj3gXHxVDjmqAIcUYx8p/GgksFb2w 6JHrKoIdjgneDHTEMHtgYpchITkEnZeHBto+7YJX5uK+eD5yU8HpTo4IysZI SQsBx/bUMw/nZouAduegSX4b6q8aXhgRIoKPxgPnykWoXtMZcrqeCCbWDus9 FiO3NMevZHYASePzcZ1/cYyhW9nXcrYdnOVqeB1RgRF0n6YtCBTCkpuuVbbL FZgg1Dcq2kEI3dRcT6E2yt+e4s7oCeGgTPNG/2qUTwRZnpC1QdCLlc64Icpd Nmyt9m+DBOGGS642yEm8/rJjAuCVYsbvAxQYY4Io1V/6AMbPj6tRqSj3XU+n P+eDjc+tMdkx5DmRn6KQD61aWvUDYchXFxjyTfkgYgxTuujoPsfXS+beCkO0 pMB7mSj/NMPmsO+D6qZWNqMOeSsuSKE1gevC6GQFDxmvEg9aNEHeayPa+Xpk P1WdqPlGILFyTGNbkE0jLe1LGmHdEt+W40JU/2peddJQA1iNTfV7SlC+mhyR SasHf64NSW8O5d2XNevYPGjyndIUE+YwwpfZ2lMneaCp+veyCwvnMIY/yz7O gQcCP3v1j+ooJ4hOZIm4YKThON+wAtmNd/K/wDqQB+//4mGKvIOoklBbC1G6 J/9JPIQMy17YVVWDqMP88TYf5NtRtduPVIP+6W/tI0eQTdwecYnVIH5MF7gE IueUsi3PVYFVXHyzTjjyw3dmRw/ehMnezKq7KciNOg8xowpgZNxIfVWjnMfe 08KxGIhn1dyoHORDczGdL4qAHRapLecih89F7A0tgnr3nZXfGpA3Uy6/zWWD nPSsXQWQB7Ol/LcscC8lqJv2Idds637dXABSZqiY048cxJAXexdAcGo3y0qK PDLO3TVxDZKDWaa7Zcr5Xyv0bK8Bb7OF+74PyJLU7TGiK7CqOfBi3Czy+tIj HsRLUHm7w3tGgfw5dL11LBMs2Fv0UwjzGKHbY/Gl3ovgmjTJzVqM3DkSk5Wb D4l7mc+KtJCDtknjfsuFkd6HOsINyOLKVq3MTIhuM5Y5myBLnxmzZjMAv5dT 1UVGtjB1ldEzYOV1b5t+c+RYyt3i0HRw8fvqM7oDuSVF/oGWBpxRvSJND2Qv 3GXALwmySjKChj2V9b5erwlJhOADXzbW7Ucmv8zuoCfAOj6f94cPcnmwQU9h POQwj4ryaMp5DN5orD0DoY6Pcv1CkAWj7rhTHPw+vXm/WZjyPc1GZnGxME2b GeqKVPZjSShv6BBmU/hDIx55D2OT/fNocBwjNA8mIDMcSu5HRIF+eVhiTbKy X7esiBgJkiW2am7pyv/482x6eDg4ySTrspnKnFqelhUCBlccRg5fUfol70lw MODO1bfIBci8jCe+rseggRdn1clWmpxL2UIFns3gboMKZANP33JLf/gfUcLy UQ== "]], LineBox[{{0.015412559489574392`, -0.0007538933711259688}, { 0.017175101510522775`, -0.0009542148904220227}, { 0.019628681609693666`, -0.0012748064025327466`}, { 0.020242076634486388`, -0.00136260853436454}, { 0.02085547165927911, -0.0014534903081528938`}, { 0.022082261708864556`, -0.0016445256083876814`}, { 0.024306314482584017`, -0.002022546512982615}}], LineBox[{{1.9800128763771412`, -0.0013257407364459795`}, { 1.9814664241137292`, -0.0011256811534625655`}, { 1.982152851338542, -0.001037174693307108}, { 1.9835257057881674`, -0.0008715812575506021}, { 1.98421213301298, -0.0007944642775559174}, { 1.9848985602377929`, -0.0007211124235908528}, { 1.9855849874626057`, -0.0006515082860669708}, { 1.9862714146874185`, -0.0005856334224869642}, { 1.9869578419122313`, -0.0005234681989403356}, { 1.9869578419122313`, -0.0005234681989403356}}], LineBox[{{1.9943344794172735`, -0.000082576573063875}, { 1.9951949686099844`, -0.00005703755724084658}, { 1.995881395834797, -0.000040282819549375404`}, { 1.9965678230596091`, -0.00002664657123752079}}], LineBox[{{1.9921023879292483`, -0.00017322672835895503`}, { 1.992449259710733, -0.0001567772939274903}, { 1.9930589692131917`, -0.000129988979438167}}], LineBox[{{1.9972542502844224`, -0.000016023220485550382`}, { 1.9972542502844224`, -0.000016023220485550382`}}], LineBox[{{0.010420226732736583`, -0.00031976651892584584`}, { 0.012181771315412964`, -0.0004507551156933687}}], LineBox[{{1.9898585528143742`, -0.00030121668343419117`}, { 1.990389978036295, -0.0002674899389472074}, { 1.9908268777251665`, -0.00024135893325372137`}}], LineBox[{{0.004929362547335268, -0.00006041294353664739}, { 0.00613399106425376, -0.00009864821185168182}, { 0.006747386089046483, -0.00012204352097100468`}, { 0.0070541304580072385`, -0.00013475443285848598`}}], LineBox[{{0.0030108407854104445`, -0.00001977638964945072}, { 0.0036538523432536356`, -0.00003071556145073373}}], LineBox[{{0.013457281519494598`, -0.0005606209773443283}, { 0.014331664319664934`, -0.0006433109866108566}}], LineBox[{{0.00012281403876088337`, -5.976158234943796*^-9}, { 0.0015077563834993003`, -4.027595128519579*^-6}}], LineBox[{{1.9783570357250508`, -0.0015746948049599752`}, { 1.9787373661730594`, -0.00151552089466378}}], LineBox[{{0.007974176138631928, -0.00017697659990112413`}, { 0.008094635367353508, -0.0001829635680810071}}], LineBox[{{1.9994970648041506`, -3.033113635808604*^-7}, { 1.9999999591836735`, -1.7613646505765246`*^-6}}]}, Annotation[#, "Charting`Private`Tag$16209#5"]& ], {}}, {{}, {}, {}, {}, {}, {}, \ {}}}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*SubscriptBox[\\(E\\), \\(c\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-2., FormBox[ TagBox[ InterpretationBox["\"-2.0\"", -2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-1.5, FormBox[ TagBox[ InterpretationBox["\"-1.5\"", -1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-1., FormBox[ TagBox[ InterpretationBox["\"-1.0\"", -1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-0.5, FormBox[ TagBox[ InterpretationBox["\"-0.5\"", -0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {-2.318488873461998, 5.122036128568652*^-11}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0gk8VVkcB/BrGakRKpkYWcpSDc8jY4vOKy2a1FgSGpmXrUh5POmhhvTC kKXwqChrlmxZnv2cl60sz9KYsST7+qyhITHNcT+f+7mf7+f3/5//PfceBXt3 cyd+giAS8L35/MVpsoMz5XSU2LwOHDas8AoRtBrUAULJP8MR67HqbjVeoo/H SRDDJXnNRgtCYXNyRcmGFZhZU5nuWlCBZ7ldhYlSjgB3D+i1HYNOig5JJ5Az CD3uq6711hiW/+PTfbvVDSRU3LS0OHsR8piddVdYHriec2GddwUW6Gxorkt6 AYb/xYK/F67BOiPp0toE7831wsgVNGgUz7W15zJABinDT0jyFkzgp2Yppfrh POCWc5AfFDuv7xj64C6wVHeTeA4CoNeOgPszV/1BYGtCme9SIFxyXBUYkbwH +Mn9JuLXg+EpwbBzq0L3ATkrxbDSIwJKagcbhUsxweftIew5l0fw3a9Gmr47 H4BStpSkfXw0/EUs2wAmBOF5unrj5+KgAZX26upgEFDPctp6lS8enpqoGJyX +xPkZVkqxRg8h252doXBV0JxvfjK2vZkmPvi/BpjVxgoG/ORFtBKgY01T/a9 XH8Ixpdsxzzj0mGNfjorJSYCGJSmIk5MJtRuZn7yTYoEX/bbWa8VZEP51eUW xQtRIPhRROrCQA7U0lYNt2E9wuvzQhssX0N21A22mdxjYLJIg7/lFsLjeeXv vw48BiRtKQo3uRgm7f41KFQqBtcrh07sKoNlrAZBJWoM0FXjk4mcLIMMAcfm a5mxwNCiM4PyuQqKfPbwr0xgbdaPKUlw4ERORXWwYRw2N9lL8w08oxhJ+74q Dixy8qMzZWpgbxzT2P/yE9BEaYQ2ZvXQ4uFHdhnnCa53usuUbYB1jgaW+zee AOaK2tTIiwY4WlTqsTf1Gc59CcbZJphQnnHacz0BBMbrbvkjjQvNontdzys/ x/m+Pb1G7ZCpQo1TLngOrEnC7DPr7VBYwG1i/OoLQAS8EPNf7YAu3ttYLvQk 0LfSm2+t3Al3H4wiWbOScf8918DXXVDXr3mLykgyCDUZzO0u6IYLg91uijop uF/F621rD2yOV3i10IVNlEZKb+mD58U+nWD6pYJlW6ag1a1+yG9lklqslgbM U6sex4QPwu4i64gKehrwU/euPCQ9BN8/cJ/68DYNEBSOyETDEFQUUH1F8k7H PtpurTcCGzbSSJ3vX2LbbN8wHYfuBvcjNw5mbO4v8qnCBNzjd2VB+R42Jf9a 2L8T0GV1b6GPeiYgOMM1d3KnoMgS62e5h1nYJm/IprOwROMWy3gEOyDv3LrR HLSjWax46Gdvrmd6wmAe5s+KlddNblrAmZS4AM0nQwxcT+bg/qiYePYijP/o a1TyXx7unzJOtF6Bx2Rs0vot83F9ZpbnygrkXdL5TjgXm1LFzIxfhbIzPg65 agWAkG9WNBz+At1dtJWIPmxq0QeDx+twp2N+ZrpuIc4XyGGH+ZDzfVkbfUfs qP1t9iw+VJkSvrUtEjvgnDRjjQ85Dl13XR3HJtRe2jXwoxK7A6pnY4sAQePz U78hiKxtkvMXPhXj+Wvm3itb0PyHC9tSpEuwI6vCnYVRkJ2wk4URtmnTkdp/ hFGRg7s0OwY76aeLoRVbkehNwwd+Omzs+sexkd+j+sCeS0J3S/H8v7S/uYsh 2+/CS0rTN63Dr/pJDC0GU8RdWrFph2uhnjiSD8+ob5YrA0TBUYl31eLoTtwt 8qMa7MxjdbBlB9LM2SEkI1wBiO4LVVQhCdRIqqdyydhlBwbIphKI+ppR+YcN NqNmPPapBApnD9CGsrHjw9TkNHajSU7uh5fnKvH/6NLSdJJEz/8+81ojugp/ L+lhr6k96Ptv92xPyyI8L29AwUEWxbtY2amewmZwry9WyyLFTlXqjpub/iRq KSWHjmZ1OXyoxuYk/9XeIYfKs1glpSQOIIw9xzvS5NGsxUzV2VbszO0d1EP7 kGVmXDN9ew0gmIHfQt2UUMLlQBNnBWyaqZZsqhIa3nmDa/0z9uB13lqPEnK/ e7zN8DJ22VJvlLEy+tN89v2WXOxlop50UAVVrx/vfWZSi8/DrS6N1QNIyWxu sjasDhCOl6aNuKpI2v+0/tVk7HVbn5s71ZB4blLYtlLsa3Uy81ZqaE3YgmQ2 jF13NmhxRA21c0rp/br1gLDev5WPUEe+5Hv/rY5huxU+k04jo1YxCQkS5S3e X4WgjchhdC+z58he8XdAs+B05f00LXS7VQ/ELzcCIoj+X/BvukiUVDLWKNwE iBDOXM4DXZQWTn74VQa7LLr3c74u6jBR6bE7iS39O3NJUA/91CxBV2Jh79zQ SyzQQwNv518W6jQDgm1flyJ6BJ1+ky7K9W0BRI5Pr86YIfqheEc/H18bIGSn 2JobxxB72KilzeA9IHYHJ9Z6n0E1rok/2sx04nxL9515U/RZ2VAs90YXPp+N ciEnLBH/l1fiPyr1ggAbFlPG8hLaWrMs9ENyHxASdjBp0f0daX+jsi3y+kBA turTHvPfUQtTq7Xh0ACglG/IDZHtkVzU9JesuUFAqdOKXF1zRNMrA/1/k4dB wKh+QnzMVZTGq2wSjRgBAacObDO2dkWiezPmR0dHAXEISn1dckMPXUqckxTH AUVptogC3NG/lFej1/wnQPs6bd+nOhry0qwrlqydBAFU1sU9FR7IWUs+6dE7 7PUg8LXaA1lr3wkTaZ0ENMZQy4c3HuiIvpY9f88kPh9lbbGNHoj/eJrY3BzO vS+bz3Z7oEgzpmu99BSgnDLWOLjigbJpJ+S9PKfweXz6qlnDEw3k1YV1KPDA ArW4lfHCE7XPCs5oqvBAwMefJHJSPBFH9aRJjCoPmJrPNvWle6Kk7HoRKx0e aFfVC9HO8UT2LxvC+0x4gNCIUGou80Tjie8iJ27jfn/WNkaHJ5p92BK9wcUG Rak9BB31N4ss2/2FHeagUi5AR63bzl3gdPMA7fPRjVghOsoL4UrcH8HvY9z0 7LQIHdGYrbHCX3iAM5QRGvoDHS37tcftUpwGAbd5ThFqdPTVtfPZQd9psFCc sBhsRUcXtC8/IvlPA05oxvNRGzrK4RsPOszEeWTex6O2dGQXv+JhGIFzBdGd M1Q6elMvbWyWMg2ScmuPHXSlo2D5K8uMJlxvXK1KukNHf6wMp7zvxr4yEsII pKP/AZQDyqA= "]], Line[CompressedData[" 1:eJwV1ns4VFsbAPBBUkS5HSeXIpec0klR6qRZckkII7coFLlFE/ZKLonzHWQk OimHIpPq9ImIJFTWnFJHUi65lGspkcbMHorcv/f7Y555fs9617ve9e69195a vsf3+YszGIxM+P3/n5GxNdPq41fErWT4M85QpC50waRVh49o9/bxyAKKRErI a/f8Cl4qtyL5b4q8MzSeEprzEa8kUTe5hCL5Z2NuqoTwkdmuQGvZWoqs3yU1 H/CQjxJs2wqMuily93bR2rc8iD9clqfcSxFjJZaTzXOIZxlmfuujiOlQ9o31 LXzEepsTUjhAEYdz6+zozxBvN88TfKFIxDv77GiFUaRJ+0cNTVJkwnzsnxGV UcTdqt+ePUWR2OKsrwc0RlEY9bO29QxFEuP7mUx9GO/ac/7yPEWydMMHxZmj iKWUxlWXxKQ6/OLmtOBRRIuLa52Tx4TZve3gHBviW4SOsoqYPLHsTWLjUdT8 LTswVQmTBhW9d6z4UcT4SccxVgWTnscP4pUvQT0TySITDUwY0t2NV3ngBW1V dX1MrAu0AstUBIjxZ+dg2g5MjLPl9J6rCxAtYZKcZYqJZvrMpy4tAUroqw/K 24nJdHS77yIDAeJVOY8XIEzuOHG83c1gPv+D8jkLTBTFRK5zQQLUHOi5r9cW 1pvsVVJgg/sGxmvsMOHzG97oUQIUlrX9zaW9mDx/e8OJFSdAZtkuthYOmETf 3W9//U9YL+J3xTgnTPp9eJY2NZD/jmdfiDsmja53JLwJzH/x1ExjPyZVdpef RNRBvJVf70vwBRNslvsa1qNi6zQ9MbFarm8qHID8nlWWhQcx2SypPCMxLECs hEjK0guTVTNiNT+PChBXk9/VA/7xudvEfBLyce2dJX0wKarNMLokI0RmxVaD xocxya44NVa4Qoh4M8rt1eDE28FltcpCxAreN7vDFxPvLIuNw6th3CqaNvHD RJ49uW6HsRBxOzNC5Pwxmff79MVxO+SzaFSIA494tPz3CFOIGBpe9DC4zqpI L32PEIXdXLCvCsDkpIbPmg8HIf+c7PktQZj4sgzdeg4LkWZN5KY0sMMfYqmd AULUHKCq8x6s9+W66FWYECVcuD8bH4yJgvoJ3RcnYP2IhIGX4DmH3R51MWDJ DSuVj2LSVjHMq0mE+VZdUflg3lD1t/scqM+54tp7cJHqWf2ydKindY3a6hBM /pOw4fytbKhnbdRCJph9b/5pQR6MH2QebQB7fG6azCuA/fDcdefBhnsjfC4W Q7yyXZpXKCbq8RaZGWWQ/4j0Ng5Yqlzp39RKmJ8/ZFQOHvs0OJ30EPrn1hn/ Ftyn8uDX33kw/va12iy4wTbF99Qz2L9RnZTGMUzux3lknWyAfFtLLHaAuXfX NUQ0ganEJjdw2seZuWNtkG8LKjoOjvrp1abgdzD/fGdHEtjP5qr/kT7ol5P1 vhyww6njOT4foR9SHI3b4N9KzV55DkO/FmVvqwLrDciLuY3CftzDrj8Fyyt/ NHYag/2+lvNuBM9aVwTtnYR8M2FBreDhmKRc61lYz/DSk3bwiNv6oGsMGjFi Y0I7wIdoRfHVEuBizYA2cAdn9kquJI1YrimlTWA77cEtqktoZFZfvqcezHv0 qukvaRqFKRZsqgVvdasMVpalkaa0x9EycLHwqkTmcpi/s3vsGngN50zeCgWI nzN4mQHOXhNmkq5EI/qA83gMWO7R/hYZFRg3cAnxAye67grhrKRR8/wWIxvw lOAXSSl1GvF0GHYGYHaKQn7iKhol3K0pXwb+pDWzTVwL1jvBPjoC16fZpTF0 ThfqKRl+kQfeLahYHKsP9Z+pC6fAj87kcX+sg3yH6oJ3g2/VsNvGN0L8Kj/b T3C/qLu4s8M3Qz/8NYxKwRdG0RKhMeSP3Bx6EnxaU950ZDvUN13UtAD357fq qfZAU9hPy6ZpAj7qPHB8kAn1bXc9EQd2Tb53/b0Fjbi1xIuG+9+A7yrTaQ/x jzyn7sPzUuWyl6SyoJ7cAw4eYIvH5hTTGfJrrIudCsTEM31j9839kG+i5KAh mGO4tAj7gf+WtoiC51UpZ8FbPwD8XdtTHMwVm1DoCYL51dq2nCOQv3UgxoIN /a2MvH8OzoPP+JGtQjTUs1iyNgzOj4je8vlnsRBvPsj9cAieT6vC8ujTYIaU tyNYSSVL9cMf0L8NzYFacB5ZVB8fKU0H687U5sN5xp1bk2p/A/Jf0CmShPPR IGAlU+wWWHvA1tINkwevl49VFEL//L3q410xeZ0/66FeCvWKn/cadYb1dnX8 8rUajI1/FLBgv8mcFylNkF/V3iDKBuoVxMeZtkK95ofqE/dgEu4euYlug/rU KnanW2OSou+X494F9vb9+pcVJpUNpsF6g9DfV6LepF3wPlhOL6mbhus7P3Gv cRsmrY9Tz9jMQb9tnG0emsD1DdVd3LQA62s8Mbi1Fc6rBk+JrkUixDit2B9p DE56NieUEyFWtcv0942YrJi5PKamLUJ0qqMLpYfJsiGrHspOhMyWyy4+Bu/H xkvvPafsRYi7mSm5eAU8/5ax706zwPIdXrlymMgU3O3guIpQ2NpO9X9kMJH2 UmvJ94F8xRd7R+B9u+QN/ewlBXbRrCfwvl5ErpRq54qQpsJlj4h+inSZWu7p vwr1sa+oX4Dvg9Ia/vvL1yA+2udNCXw/eFbuVFC4BeNllav6OylSdqcfM8rB cWeZas0U8c7V/q33X8j3JmCLOI8iVdFFdVnjItTc0l+fkUeR9Elnr30TsJ+0 eJbjFYr4nZj9LjsF1mEMyORQRC7cfm3SvAglpBfqnrpIEf8gIYdaOgbzpy23 n6VIj1SIDHPZGDK7PeTdlkKR/wEXH7zx "]], Line[CompressedData[" 1:eJwd0ns4VNsbB/CdCOU6RJQQJkoS/eRyWEgY967jkjvxUC4jqU6YlAghHIkK SaUSoSRaCylCpykpFElIZyJ3JrR/a/fHfvbzed7vu9Z6197KPqF7/PkIgsjB D/W+1pF1JkpyEozbuvc6nY1Awdtru4VtJ0GYsdGKDscIVM/pvPfYfhKwlQwy zewj0Ooj47EBTpOg3i3do9QmAqFiNfrz/ZOgoO5y5aldEUhKNp3F9poEHN+w kF+GEaiW57dqLhL3e8JBlloEWoXEjAcLJoFT88gP93kWusvwKYCzk4C4+3bU MZuFtmsqmwDeJFDii+TYZbIQFOv/iBZw/WUX2yqdhTgd7rINxBRwCjF20Eti oWl3l9RnK7ENhSt50SxkwnI61bJ+Cpjy8/mu8cf5XBPnt5bYlwyP1G5joRmu vMRwNs67XYlvbQpHD/daLc+ymAYFqvolYjAMxVrH51cNTwPT7KqIGWYoUu61 6SqKnwH9eYvqE5JHkOGOs1lyOrOA3ZKoczMiCB1c/5q3rGMWFGyrvb0wEoBm Wi8MhJ2eA6Zng67+XOOPcvg9ju5RnQdsW/7ptmM+SKrv4XW+JuyumkPt7z3R lwC7mJoP86B9ZRKpaeSJBKJP7zMI5wGCdismKtYVESUeZQO0X4AoXHbdv2k/ YuWWXaA1Yn+UG7Pn242ebk4UkgxZAERund5YNgNJ2rA048QWAcGphmGl5qig QXyVoSR2i6rTzYvmSNug9PuEFLZWj+bPSHPkoD5y01sO+wsaemJijpJWeCib qWIHr1AxemOG+J8xZAhD7Jq3a4d4pmjWSJmI8cf26YlUrDJBn7ZwOk7UYXcl 9djf10f5XMno5Qh7+92L7Wf0kU/JXvqFBuzFsFuhLvrou+qH4wUvsA+dEFcR 0Eeza/sUmjnYljceAI8dSHLljwDpIezrJwSZsnpoXcPUPoH5RWAy4zgOprYj y2HBxfuiS4BI0b2lXayLhG8wivUlsAnTMkasLmr3TnZopFH17vkEF120t1es sFMW28Ik8KiYLvJ6t9pyURm77oCz6Ekd9HejSjpDD9tH08zCeRsqvwZUBz2w ywWtON5aaOrklKC3N7ZTj1SVkhbSY97i9vpij4dd6f+8BdWKi1d+CMSez+BJ eW5BL9h9Zm0sbBGphEEvTfTRJ9qz4hx2e3X0NtYmtGJjbS77Pjb/oGF2Gx0x lofGLJVj10cZ5mbSUcrnDT4nK7HVaw99c6MjyZwkjaOPsdkbrdxH1dA6YdfH AY3YEic1qqXUkA53vtPhPXa61ccNISrIvUxPUuE39l+vrVtdlNAj13kxDvEb 18uP8ehKSGzFE5Ezy7ETVzUsjiii+oPGQt+FsFvoqTRlRbRhpQVZJYVdXtJu cVkBDfvtHrXTwB7pFqwokUcmElJccjM2+2U9dJBHl2rfjVRoYfcH5UZOyyFr mvPgmu3YSgumX8zk0B3k8XHQBHu8UqN0UBaFyB9+eWofNpG6d4GxGr14vqV5 KxNbSCU+jyeNFMN/Ng24YDvTG7+WSCNOM6ve2hO7/mFdsIg00ok8US0dRNlF dn83Dc29Pld8LxbbKyfLP0MCseMLT3+6g12QfH8tIYxEowRtvEupeRRWZaYL odzAI7ThMmzTS3SVDUKo0tag6GcVZbIp2VoQDUu+aeJD1DwWh8KvCyDba4SQ Rgc2x4i5PokPdaUd4pR2Uo7pGN7Mh/xOt+fodFH7H+1H/y5DMX45Gn/1UvP5 uhXKLkPlm7RtHb9R9/HDZsNhEspUe6ZGLlD5iFAtm1+w6PbzA7+WqHkm9hiX 8aB27mbFWILE9xvY5CzDg4zoubJEAWxT1pmy/+bgqZ1pb/LEsesd71TcnYHC /5u5rETDVlrtsqg0A7Ppbj7F0thER4hlzjQsE944dV8OuwDu7kyZggOvoXSj CpXXMiq7MAFDG1R7LemUpdNe0SbgYkVScZs6ttfair7L43B19gG9zi3UfpIW N9x+QuuDY8yRHdT6nLKMbi4sHVHIE7OjLHEsJmkIJl6N9+pzoDyyOFM7CP32 jKrd303NszJqbuIrXFdXV27PpNZTfxATPACT0txepPhQ+TS+1o2fof7a4wkx fiTgL5UROWjUB815m3ZrBlL1BbV7Zz9BtcH5ee0jJJj4MZA+YN0D1eu8f608 QYIe0bPhjQGd0IJLVPf8TeVnZI7vfwczzNnB52NIYDG4zj6N2QEza7IYQfEk 2GYXnOMxxoEVML9dLoE6n/AxC3cOTI0QzPh+nupn+ZgP/wsPXQ9nslNJ0B5y TEFdoh3uqxrjHr9IgsrbugSP0QoXLW/eUv+HytvQN2m3wKrySJ2WXMoGyYT2 c/joTasG7SoJXrXMuXoIN8Fg+V1PAwqout6OuqBGOGCc6JteTIJNhaGvuqTr oRTLVcTnNp5PuM2ppP4pTFlR89L1HgkOw7Dku2lPYDqz0t3yAdXvLKfY+wge d/QSEa0iwVpL9uClsSpo3RA3MvSIqh+uyBSthCJM350jT0jgdHvWIzK/HPZ8 rtHfj6j6u+ZEzXvwUZbyb9VGytJqXFACMxjnn003UV5DNz5zEzZVPLB61kyC 1uZ78qWzRbA9royr+pIEnTt3dfK1X4dJ5eaVCW34vCqREVlfCqBaYL2U3yuq f1xB5cU1KF8d7bmeQ4Kob+o1/h9yIU+du7W7gwRxU9nzqb//gY/Pzfl2dFJ5 L1ZaXia8tjT5nNZFgr4wZ8dnahfhSD73Rn8vCdy7ivP+MkmAtsVaVeZ9f/63 pasXz0G6a/YJ2hfKpt7vteMgn/hvk4GvlAktnZpT8HXYtEfREAkiR4llNZeP w6AUpaXz30lQlF2a/eBoGIytLWxcxyXB1K0rDN2KYDhRde6/tlESuMgwP/kv +kJmfuzuHxMkOJAc42mQvw+q2x3+XD/9Z/3ggXQrGKAmnx4yi79fXJhEjYcp PHrFanjvAgkEhg1H3+msgXVBRVu1l/7kveRfzT29pLhqhiT/mCBMjI3/Dyvh ufY= "]]}, "Charting`Private`Tag$16209#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0wk0lGsYB/DvJjWVLGWpiags3e4kuUXc4RWhrqUscw0xZzASEZqSJSFb xWRpGuZeyTL2pkR2fY+1TZZUl1KaVhLhaiF073u/c77znd95nvd53/d/zrfB K8jRZxFBEDH4/f/7u8/Iw+YPPqbE/48n71bD8bOLXSSGSC3Uw0uPrkcObB29 HB5iiXKW1iWNE/tJiqNeQ/WCC1KRG5+ykoSQNl39lZfXchBefT+ZfZ700fTO 3QOHUFPNxOikVQZZ/3f4wMnuAKQYO/Cyh5FLjsY/bvcUhOD+4LdfVMvICsMF /Xnl44ib9Vl9XKWSbLeg1rZlh+L6mhnGL3WkRVaXu1dXGLrnxrM87U6S2YvY pVoFkbjuzIhoaiPl7I055xOiULn5lqlh+h3yuEJM3JhvNPrEvXLoPqWTnObM SL1RjkXag97pAlEvabU42W5mSRySrvzoQD3/hFQ2SLLgrY1HB1bfrfyXP0De 3W+hH7EqAclO3I+sEg6Sv8uV0cnsRLzfdb+V7hKSzg4u95UkovE1FdYR/RLS arhBMqF+Domd54+Gr39HBrBYlUme53H/iT8t2odJ8RX772Grk9Fc5SDTiPGB vNcq3Fg0n4JauDabbk2Ok63GhYJ8/gW0icnbEvfvJGnQGT8VkZuKNloWS40G /ENqzHx+oOmchjYr+nUZvZ8mdxjQeK6CdETEcH/sePCNrEkLrHFQz0Bl6iO5 bVmzpPm1+r65lxlI3bkgOsNgnsxV2p94fi0fn+fgiwu+BNQJbi/WYvPRrGxF 1fRnAsKkOJ2HSy6hQK8KSZtICmS+hEQ3Zgvw/Je0xlZpGL7acCvJJBMRZpkD WfSlsE8zNXhFUybaz6p+pBlCgWeZ8XujPYToyOtud4diGXBKeVFT1yzE64PK jG6uhHYOnbFpQYikKzJU4zxk4W1VbYhawV+IkBxa4cJXgOz6Yutj89mo+Zmz lGrLanC4+MzfXjsHn9c80iVPCeJ12JnaFTlIWd+zSi1NGShSAcPvfa8ggk2j G/2tAn6hywV+3Fw0+1Wz1reQCko/p+kyBXmIyA3OX/KrOuyK7Fyq8yYPUQOP i5eZaMCkZCBA0zAf38cvfXJaAzqzNpRP9mOzrV91sjaCvdzUnvjIAlSZJ6L/ OboJFrnYFtzcKkLMBZZGu1ALBqqYFxq4IjS6W/h1o6029CUEfRi8I8LzDjJl dHRAU4pWrhtaiPf/eKxqbjPcXhDpPu4rQsSBiG9PXtEgiB6XuvBzMe4f8Noy shXWRHpOasdiN+9KL57WBb8ZtcrwbSU4vzz9NTw9kJkW7FRPKcXzvpoueqQP 1dtPCPa+wQ5uoSoe+RVYwU7fQozLsLVOdknvgOvjcvXtI9h1e5KQxU5wHDlL 97e8igh57w/uQ4aQ9SLCovrHNUSEveWbZZrAblVX0RDjOs67faHFzRRG3Qyl KWLsydi45RsQrB8L9xZvrUCEhuW7OTczCPIz0CKeYx/2la8nzGEV53pJ4a5K 3N/L0UyzhENx612NOdgSpaXRFCtozOct60nFztYT7TtjBZxXR/xn3mM7Pzq3 PcIaqlmbaTaXqnD+cgJW5D5guuZdn5y6iYiSjMKGNjuYGHRenk+txnk4mz3c Zw+JLIqPkwU2s3T39of2UOUdRK3hYxPWpj1v9oPsUZOESMMaRMjoZVvLOEDH maduS6JqETHPKDVhO4G7NK+6thA7rcBOLHaCf5LM5P26sU9RJe1zTqDBK+7o VK9DxF5a0pjQGU5lntBLb8Wu4LZsHGKA/lWFJaqUBkT0LlM5kMiEe7od7C49 7FPmo45DTGDfCGs87YrdXWNFGLoCr+Zl8Ksy7LuDugdHXWGkWTxYZNeI72dU ouR6EHKe7Lux/WITIjSvEY1/sGDFv7Hu1usBEbssA7r9vCDLz4VFs8K2cyiK u+IFmo9pbIWj2DnUnJQnXmBa2u89eAt79sKU0Nwb6ksF1bW6zYiwurO3QIMD 405jTTbd2C8SdcPHfIBRktnJXdmKiIGvnwLa/CDb44ztoQ3Y8drscil/eL0q sIu5EztxG990jz8ERZn3mHhgd5kf9L7tD+ccx/uWirEpj74XdR+BW/Pmz/6y bUOESLqOOhEIWg6fRtqS23F+L+KGDUOAGm1t7JuH/dsfTgnsEJAX5yYvr8Uu 2W3JOBcC3ylOug6vsR/a85MHQ6C3uZY7tKsDEYw3XxzOHIMIvdgfM+86UIzt DmOrp1zollNU1DW7gwhqh++Dq6EQW/L0NzX5u0iFbe8SmhIGJ7uNUNbne/h/ qU2XHz0FsrrV7+5R7iPiYpN/4booEPH0UuZUsR1binzsouChrc5TluV9FNNT Qj98Iwp+6VTkagmwf0Slnog8DS/vTBRVGnYiM7eViv0rYsC6pVC2K+IBIm70 3UZ1saByU2Hop596ULNlBMfTIQHcU+ac3yr3IGJcfrXCsQTI57zrvE3D9baP uU8zEoCmVF+fzOxBMeMpttWPE8A8lH1JqQLXZ/tjBK6JYJDtUsTf1ovM1tD0 F3yTwJNV5FEy1IuIHZXzZpnnoOa1xYMeeh+KeX4WakwvQKv/5XWuY4+R2UUb N44xH75om8iJA/tRjLKFmrVQCItmy+XXaT1Dk6nzszaLcyFxS56ySPAcaXw/ fKJWpwD+A2Pm1Sw= "]], Line[CompressedData[" 1:eJwVlnlYTG0bwBuFyNamVCgpSehNZEl3iyWKt7TIVqE3RVKJFlIoLZIQ0kIq 2ixFaZk55x5USCshpJIk08ycM4lKxfd8f5zrXL/r3PvyPEdrz6Et/42RkpLi kef/7/ht1gOxBa1geCivJMwqC2sjjeur9dtBc5HrolX3b+PsxN6hPHEH8ANL TY5fzMfegfa2N4ad0HF0/YP/nO5htoBbMyXhC/ScX7vjHBThlJk5TFdXF7QM rZr+wvYhxnuXeGbM7Qbh8Jf5rotL8Jd5QZdX+DewnqJ/LH5eKQYaVRZPf9oD qt2iAb+OMmy/V3m2SUsAMR6pnqfPV2CjSEZoNE8A7LPpzfmXK5BvsNY2yUAA ejIWrvWpFZiRXzVpq4kApD6rl0/IrcA9t6vPtdoKYJBnpWHPr8Du9OfnvwUJ IIKJWTKbrUBRfO2l0ToBTNuxKD7dlottLyf1u74WQE+n6hSLLVysn7jJkd8i ANmLA4YdW7l4L6ZO6fQXAWj+Xr5Rfi8X/SLrL8sOCSA5LdbNLISL/ccaryrO 7YXligzFz+bi8P7m1PmhveAyzKLNIBcdl+26sCi8FzRVTy4eO8rFO5zuM0si e8E6QMWrgsND1+QB/9UJvZBsba+nKsfDx1Vq1vaZvfC8XuFCxkweRmvu7g+u 6QXVxgtenRY8VHwrsn2uJiT1z0pVjuahz82jlnWzhdDT7eZveZaHlT5/TV7N FYLL2xMP9p/n4VFpee3WRUKQNbh64O5VHr43NB5iLIn+79D9wzk8vHE29JbK ASHkphxZUPqMhwssxv/x5AohePrc2ynSFBbmF8xr4RM+aJ14fDyFxkp29huq hZCRyBa5yFFo+i05e0ET8eeMCX8VKNx8Tt+G7RZCSxDlMH4OhQHvNyWHKIhA dt90yxEzCn9Z9j0WqBAONZ8bYUnhsTtXenfMFEFZt4vcn7UURoa3m5npiUDq nFHrN1sKr+j4fx1jJoKIzCDjw9spLPdPMor3FoGXi4aBZyCFZh+X7xz1Jfaa 4oZigih8suZTlG+gCMxvrUi/FUphjYrue7twERhaWO6sjaCwlSoNV74sAs1C N5+GeAqlJn6svc4Xgbt164m8LArXZ2rtK1IRQ/KIbVlqLck3eYputYYY3C8s yq6tp1AzYbjrg5YYvMJ8ewcaKfwd8maPjIEY2IfSUavfUHjXPtZ1q7kYDA2s iiM/UajIkTiNeokhUbopgSMi/gY+KSn4ioHvd9HznZhCobDmte5hIs87FZ7D Uljdkm1vFyaGsqDfvsv6KQwpdNmUdUEMPXnR6lOHKWx346/ZUCEGc/e6w/nj aax1uivtimIo3PWjWHsCjWU2KU8CKsWQOzlU6+pEGi+aBJqn1ZN8St8E+Uym ce1UPVOmUwyNH6SGGhVoNBqrPCzdIwbVknWB6ko0zhrmVKiKiLwryrsr0zjY /dHEckAMwY1y99+p0FhAn19yWY6BQdNDzhEaNCYXH+/Lm8aAX0hMdepMGiPz vYtoZQY0Hd/aFc2i0fWK1eKe2QyUOfgU1mjSKO87oL/KmIHnYtXTj+bS+Gdv 1/d/VzAgxbO9k6lDo2BbU66HGQPuDcKeGF0aK9cW6CZYM9DxbP81Kz0ag2a6 zfm8kwHrlxZP/RfQuMfO0Ll1NwPLRwrq9A1o3HyaE/fOk4HGMfpabYR1v2dJ 6vwYMPTVuLlkEY0KGkd0Xhwh/hpCat8QHt28bltlKAPTOJRZwGIam4t7+BWR DETUDP28Zkgj/1t5f0kskQ/mrNT5h+SvdlavKIHkryP3NJ/wqYiFiTnJJP/v hzOzjWj0ffjnaWY6yX/XuEHVJTRu624YSM9kgD3PuRBN2NA2wC3pDgMu7rVn HYxp1Ai3unS+iNir6RcWEh7/QOlZ3CPi74JJouxSGvu6vv6O4jLQ8tr2yHbC bSqli07yGSjcJ0m9TbhmY8ye41WkXs3d0iLCJWHbrgTVEHmnH3cWLqMxo1C/ JqCB1OvT5ytehOO/DI8ebCb+5U89TiccPL3uH+/3DMj+m2tQR3jvhuv/ebSR ePIWtvwivPn4oWtuXxjoETJP1UxoXHnfvG57D6lPShOznLBupzzHWUT0ReU7 7AnLK38xtu8j9t8ljfcgPLK+2Mt2gIFgGYcffoR7QqPS1o+QerV8nxVMWOC8 wOumFAsdhxziQgi7s4pjZkuz4JWRsPQI4bexI6lpY1kIHryueYCwjfbXpWqy LPhhvM0OwnxeXcPViSxY//R4tJbwMudH3sqTWXi+ZcVufcJ3mOvSl6ayMG2D pu0EwnNio9OnKbCwnLM0qJPklzzHzyRBifDOq50lhKfwXJrkVFhI7DuQcJpw pJPFgdgZxJ9ia6gN4SHx/LHjNUi8lcq5kwn7xijciJzFQswTm+k1pP5dWsPL x2gR/bCSqgjCjY61PqM6LEQcnfG9lfR3nbh43DE9FqTUU3adIsyLTs8Y1GfB znqH0hzCORW+zT8Ws+Be2L7BjsyLhuNWX38j4q9184s2Ml8XyVHHGLNQdtg5 fh/hE5rypoIVLGiaVbTtI/PYXz70Zp8pCz1133zbyfzud+g89NWM6IfZrbEn 7HTmYVaHFQv8VXl8bTLvBkInuXebiP4W58mRZF/KHG0xzo4F2YZL6jTZLyvK 8rCZAwuNuSf9JPo0bk9Y/PGWC/k+L1piNZ/GWMMJBYF7iT+fjfuSyf4qXfvr qufJgvkC5nEa2e8Mzi+FVi/SvxK1/SnaxP6rzlArXxKP2/fbJ7Vo7A7kbVQI YYGV/i3+S86TgE8P/lQdI/q/V7+qVyf7uTbvQcgJFgxD/eWuqhH7KlfUPp9m oWWbfaSiKomv/JDgfgLp97r+Ih45zzJG58RtyiYcx9NsGkfy85xhxskh82Fy bnjpWBpL66f2FeeReCaVWiRJ01h/Y2Sbxn3S30qL6auliD+Lt/N7y0l/sgom mQ9RuP1M7IuYBjKPSlG3Jgko7BaHh5m+YiF3t9SwbA+F/luP/sM2k36ZzX73 5yuFMXp7r239QOp1vV3/3WcKH9WYeut+JfMXV3V05XtyH0xlZSt/s6B3oNCj rprCV1Rc9IZRMn9C76T4Sgov+uiMa/hL4vOwWr3uCYUKNdulP8hIIHh8EieP IhxVNcpMkcDzJ0tiDIopnDac0qeuLQGX+VOXLcygcNK3ta2HbSSwPHJAVZvc j7WXO7YPbZKA14My46X+FMavOfb+hB2xVxQ+0dKXQrnMwrexThLg12iJbLwo nLhLvemGG/l+MbRecyeFsq/ZqpeHJWDu/XJCE7mvZTD1vnaaBHqUGsx3TqLw g+ka6/brxL9L+q4wWQrvVwg7Um4S9jHNTpYh9Xu0WkEhRwJ2sct41AgPi+62 B0o9kEDH7g+BT4Tk/ydNe+WnZxJoyUrhlL/kYVlIQeWVHxJILrnHBETx8IAx 9/0Emz5wd4uZ1N3DRX7jmztlmwjPHJxQ/YWLygfZ8H12fWB+7bb1zTYu4i0d 3SqnPohZeSl5QzMXFVUSAyLcifzRCsFu5CJ3yENu4Egf6DllpxUncVEOp6zu yuiD5HXnE0dWcbFgw54M+lcfWHeOGe0Nq8CfvWrTuq/8gMa9B7Nm95dhicN6 6aQ1/RBs5F1+SL0Uw62jbhR390NMzs9Vc9aUoNanjS1ZUT8huLJ/o8DjIa40 iUyaYfQLpJzyo286FuHOWQ1DnNe/wN3xTKXaq3v4s+Zcp9/JAfDzd2xWoPIx WcY1cMvcQZi2u56Wn5qDim0lmWMqB8HObLj+1fUslDpl8kTjzSDwFVc+PEn+ 1/8HIohJ8Q== "]], Line[CompressedData[" 1:eJwd1Xs0VOsbB/App1Buo6mDXBohl5T8Iqm8LiWTUuSHKHfRlEtSqMHkuIeK rnQkEvVzC1HRfoZcT1rN+aFEJjlyabpJh8Gwz7vPH3vt9VnP+3zfdz97r7WZ vqFOAYtpNFo8vqh70z4fc5c+ERq8NhBWv64QaPc9K4YUZ1G+hlUab2sOhOdU ZCg2zSLLzW+Dox2vwDODFCl6yByitfezTwRkgmn3ry+zwuYQj2yN+GCVCZWc 4suMU3PIUnk+jq2eCQUvW1WUouYQV/zq/uM3GZASusRQIx7XH/Fqd9lngFN1 vKPhNdy/tOAXHdN0GDWPyWEReP051Tml1WlA3xO+Pl5OjCwzGLxEzSTIb5Rf bk4XI+5WYlHyoiQw2lo2PrECe0bzef5gIjjojt3zURYj2mqpLrXbiZC21JNp pYXdbZJsoZYIvzxnraKZY3/u01dTT4CpbUxabIAY8XK/swKM4+GdIb8rugHn LQtoDrePgdtCeowEYN9j2IQpx4Dv/YM6GY3YpaLcm6McGNd6E5XfivMm/EZD EzgwtVqg1sbHdSenjQa8c0Bf9jmQ8RHXk7QqBegsqDZOOi8RiVFixI6kp2NR YDsiKS6XnUfcBMF+O+9IkL7LKjJTmEe0R14JLf+JhE6fCw5Niti0kq4QyUg4 OCB3p+dX7H7UtqviDHh3r7QVM7E7Tq1ZsugMnGtae4llivOOKRz5ozQCKvOQ 1rAndhZDP1w7HCbPTkr6+GDX1LVuIU+CqWuxcMAPe7qNv+7tSaiXl69+E4Tz nrTqJ2echFauwOpFODapP2QtCoN+3xivqiTs9cEqHv8LhaXr6nO45diRijbp 3seBJREaO1+Jrc7dVa5+HNLfa/qercZeSGnUGmAD/UaaXsRj6nke0uU92KAq 7f44sAk773x0r/sxMBaKehxeY4fT9beyA+FIhSldbQF7xDKE1u4Hte4iOT5t Ac8z9ePPC34gt/SpzG8S2Lq91fYH/IB3eIfUuBT21CBzTZ8vaC7bSdaswN6W 2en7wwdG/B2/7NXDZi/vsjbxBguFFULSADur0bl0wQuu13ePVW3AVtnZdzXb C+wU3YaVNmPbFXyoBE94AJ79wxbYnLXSEswjEKJyooPjjJ35UGFa0h1aWwzb Nrpi17IkzUsOgcbJb81Dh7AF0WE7WIeA3xbOs/PCNpX5nJDhBsano+sYbOzh gVt0DVeYfpVUVBpH7a++TxTgDNzEO+ffPcC+8mZSTmI/yEZK7vEpw1bY7pDI cYCcoGDFkQrqfO8GLab3QbX91sJvNdiXVn2L/r4XRuh/Ni8GbCU9dYkfe8A+ jyal14U9SGiJjHZD78Wj/LIean7lh9mELfif77xh3IvdbqiktM8WYv1v6G0f wHbLm1gbsgsq9Y3s949id3qXfiFsYFWdV+bpOeywTR2tOZZQWNLiMjuP/b04 vnSbJRjlGGjE0Uh8HnF4Sj0CVsx0RcoSbLeBYVl7C+DYXPwzVx7bzvdOetI2 kDb5++YaRezvnSmO/eZwTcfDt4iBbTa4JdTYHCqk102WK2MrZE+Uj5rB0CuC 0bQWu0S+gRFiCqH4K7PVofLtvkb0mIC4Kq3ohS62bu4RJjKBlddcTHsMsblX t7spbwa7w19dx7ZQeRoXZcc3QdmYWq7cXmp//XzRqAGk/J7oLXDArhQM1vyl D/5OX7TLHannsbnzflgPVBsaKve5Unmxt4Km10HaRY/WdF9smuvMzcNaYLY6 KjnWn0QaEo4hxq1rwXpG33F9EK5berP6yjVBe1gkMgomkb1xeq/Qigm6DT6z y6JJdDzHMMvERhV2Cml1feeo/NNyXkMqkGXNPZ4aSyKHP4g4m1xlyH5yhcVO JNHXl6mv6bGroIq43amcTOVPrdrZtBIyT0lmjadir/l/YEMWA44WnHTlZpKo ZdLF+PNTRXCu+SqMukwibd2zHgey6SC2vVese5XqV7kRs1kBaipPG7fnUPsz G8rPycBl1W+ihrskGk7u05TasxQWzDiyb0pwnWd798y4BHAW8dvdS0l06AKs n5NdDJdcq4/YPqT63We0N5FE1H5vGdkaEt0M7i7e9ruYsGuMH/tYS9Wf8QeU ZwkZVz+bsackevCpwJJ4PUX0vX9i9l+g6haZ5sGTRO0V5oJWE2VS47dTE0QW K/X5z2Zq3q872jd9I5qrHu5+3kYixnWXY6heSHTGVwi1Okg0pKqb7aT1iUir tK5OfkEi0ahZFT9plNAO4q3wf0n1K28p4HwkZnSFG992kchccMowdVxAPE6a 9uvqoep7nD3z+om8+R8tir34/PY2pRtNe4mx28K7gwMksrvxM+JRIp+wL9pQ Yy2g1teutJXlEzru16IVP1A+kL9D1EEsll+wGPqL8t65sSvNxKuwn56FH/H7 q9exHnvQSLDT18ynjpOIUJUJPNBeR8TV32lSFeJ5b8G/O/kaYqIm6dOLLyTK u+R5YUahjHC9Hef4eYJEgsjDwmrrPEJ374n3vJ9UPs2Kc/QyEaitcilkikQl pkXZQSiFiLi1e+TgHIk25DCvzxr4Eg3swo1G8/+u3+6vYE1c11j+N0n+axpX IePZPxhVD64= "]]}, "Charting`Private`Tag$16209#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVz3s41OkeAPDf0mJ1cYk5dNwqKvuYOcxiHOF1qeQS6xZKdjCDseVyWBHW bVDjfmkokx13yaXcid/XMtIe0a7H4pAiW6aiWHl2TlHnPX+8z/t+nu/7vR0M jHBnSxEEwcHn/7cjW/zb4Cu2FX4SBYcfWfbFXN3lvchAWdOc3Ce+ruQs9fWt +KiTiPZzeWFa4yVSzt2wr3PHG0n099mGrBeQTuMzbbfUWQinr14ebiDZukHC ExCMXDa/kG9RvUf2TsfPXp64iDQ10lP7vyXJ19wpUQA/Cv8f9KdQHpJ3GTv0 bUoMqq7opKgKfiVFdge6hwWxOM7MW6JMk3Zl436B43FotsNhIb92nhRIMW/r VSfgeLj98RdLpIKLOYuXkYTcj5tceyD1goxRSklfDUlGaorm7/cHiMlNlkR6 mZKKerdW/xSsrJGndmWfkciko6PKCQFOdpskxTTLLledi54rHpP759st8qGr Hf2KcgZ6IpybSSmUkI4KjRakIBP361h8ILtDWjAj74QsZiJjv3oTk6c75KmV vsV32teQyoTPrYEaKbjo79+WFcBDRIrkgs3bXdD8k8uHuP3ZiJv439keexn4 ZejGobrtHKRh7+luYikPQ+a1/KqSPLSvvHaF070XTMe4G1eE+ajI0H1TR0UR dCTvH+l6FiCG31NtzbNKYGxqkOvLL8Tz8KmbdSrQVXCpy027CLk3fvzxLJUC ti29kx+fFaHgzz2tjiw1EKq6ZvLUS/B/as7GCQ3o4T/YpccsQZ9MW8YX6JoQ J80aC224jpKlH5dI5nRgz1ZU8n0BHxFCpL4mPAQrTX0DWZalOD+jpfLJYXDQ zY/c3V+K9oxOVHxe0IW5Uu7p5As30M5IJl3mu2PgkbPQ1TN4A++/yj5lpQ8i loXX4Z0bSG1m+GX5v/Xhj/buKM3qclzvL1fqEBUEvfX2/9oWoCjVJta9O4bg VjwX5nKkAhGLAiMbBh24R5mlR+5WoEPfiJ0dP9JBTvriysuQnxChsze0T8YY OLHyfE60EIULW5Qk7qagql9A8+FX4ngWPesrczBLGJM9ulyJpk72shP3H4f1 xdmLuowqRFgradVaWMBY2cE76zPYwjS20TUrcFHYOMFNqEahoR6aPK41SHk7 V3dQa9CwcQxNcckGZtt98vqia9Blo/HEl5G2MJkR8Wp+tAYRcpOT1gftQFfa 4A4tthbXF7eZ3jwBD3ZqaFOTdYgocOM199lDhEV6/o5+Pe5nsJmfcxrUEgLW j6Ri91ztYAY6AEei2Rb/jwZEhBa8m1V3gj2bfBPtnNs4P/jv0T0u0Gn0A//0 MnYKkf63Rlfwj/T4K8q8EfdLPbLo+i20rin0isTYD1WLS5zcwF181SLsZBMi mG+oLuc9oGzhil3npxZEnBYUf7ngDTYavjVPvVoR4czcyIr1gdfnGF/KNWOv O8VrKfuC1mp8UDP1Lp6X/Sbb9RxEcEz1iCfYZpWQtuwHyqzWhlqzNkR8ePjM wywAgtO1fM1Z2Ge9P61eD4D7VblfPc7HFhnRSt8HAGvp+zDJS+zQYgedzkDo 9D9m4HS9He+zMqNgxwIf38rW9Y0ORNAKz7QXhcC7eU/5qgOdiIijjx39EAKZ /nJsDztsyvWv8wNDoT0o4kBXCTYtL5dhyoF94ZYZCYwuvO/N1i1xGIyk/eec TFI3Iv7wZ5xPDAd6k5KMhlwfIjy3gw7RouEX2ghz3BB7UjvVJioamPfi7v/o i90m8lvoiIbcrmeRS43YmdyabMsYEA82z9eduY/nre8Vef4AFb873DMq7kcE ONr23bwMuz+n+tlrASJW/8wwzEiEMo63v8Ep7MkpYdh0IuhOGTCVwrFzZUmt Y0lgdXsmaH4A+4WO8dajJOi9ze/spg0i4nxTrJ9GMqx5rPY7TWB3JaYqvEoB r4bSsei9QyhlWiRYfJQOggtpzsEHsc96yurvpMNz5UvjPiZDiHg/oNVK5UJE ku1jywvYavWsmHwuXHNfm5Rtxj431r/slQED27Zz5c7DiDDIW/F5mwl6bm/F w9ki3F9s0HGGBweS7c1DKrGtvHwTeDxQbBZmy3eLUMp3CQXZozz4IOdBc3uO 4z70r7Nss+HXwe7op2YjiCh/7vXmeA5cMUz9JHkxglJ2O9dxLPJgQkFFhWY9 ilLosVV65oWQGE8/z/g4iqzLGtmql4rgf/SsHUw= "]], Line[CompressedData[" 1:eJwV1Xk8VdsXAPArpV6jMQ0qhIRKnijJMlSKjAn1dCsaVDLlFTJVKkleA0KG G6KSMj+U1s0TPTIkce+p8ITEdc+5Mmbot39/nM/5fD9rf/Y6a++191Fy9bI/ NoPFYjWQ5//vq61hCuKqbyFMx/qccsEdzLipHTWhUANhy60VW9bG4fs9a/js HTXAldztZOIXh5q1smdV42qA1W3rGjf3HrZX05n5+rVgfOPOSYNt8Wj++uHC usB3EDYaqnisLBHlC6XaxMQawFg8wFliLgddoiYcuhY3ANfGsWSvMgfTjnbX VmkRd2c9KTDgoJZcaekNZ+LgINPs0xw0PXc4Vi63ATh9ckoB9RzUS3LKjNnQ CId5Lx5E33uAR9iZBx+1NYLxvMF98frpWNxp9q7BsAkU1213pp5lYsWp5OX7 Bc1gPCJige0zHFbbtijnTCvcsupJYesU4IzxbMnlqhR435htu1WuBPV+HS7e ++wz2LIip5OWlOO7cN36Ko12GKu49HOD7mtcdat//LGwA7x1U86tsqjE/tH2 to/ancDp35IndKzGjL4XNQujv8JYpvmO+3U1uHBFFt3V1QW8pNjo6L31GHWy 6DhHpQc8h4M8N7c24ohxdpd76DdoTnNU98huQj+dysLF//RC1DN3tcUHmrH9 WeWN90p94K+Ro7JgaQtOnGq+vzawH9rKko4+eNKKDnoHb68P7Yf4xTamy3Jb 8alYz9Xfw/shYlM4/6+iVmTHj/psi+4n6xe60ofbiq/fLNtll9YPhWHcE/Na WvGa4pEh/5p+UJjfOz+RxUOZloE9b5cJIBASVUbteejx4Jxp3SoBTEtpqEw6 8bDS45d+k4oAHhVxladceHhOXGr15/UCKOk3nPnjOA/52rrjtKkAeFs/Pc4J 5GHqjcCH8qcFsP1ByLjzAx5qmsyePv5CAEs0u04d6Odh7pPsNTyuAGZ2VEj+ zvBQV9bWbneVACRqsuZLDPPQ8Ft8huZ7AYQlNn5NnOah9U0NS6ZHALd6QpeH SvHRl28VHyA9ALv8A6bX6vGx1CdGJ+rkAKhl/VxVG8hHo0+bXaY8B0DxZR77 SwgfK7Z/ueLpNwA1EQkfey/xsUZejW8bOgD+mbfM+yP5+Ln871C52AEYe6K8 LTmRj6y5n96lcAeAczDWP6eEj+ZpSify5IVQmTYlAJqPuvEL1aoUhOC+3sNO Z5CPitETXZSSEJ6e5zatGObjz4CPrjO1hJBx9eeijp98zLG7znYyFsL6Q+w8 SQkKZcRE+6bchTApwUQrLKeQNfpFVtpTCPG1H68kr6BQIKj5oHZWCNsLK7Xk FSms4mXY2QYLIelJk/eQCoUBuc5W6beFoKWIKx3XU9h+iLt9d5kQovx5ablA 4bt9OeJsFMKunR8fl5pQWGKZWOFbKQSu86fpMjMK7+j7GSfVC6GG7x2UaU7h jkXqhnQnyV++U1PRhkKdWXIT4r1CULnwaHa/LYUrJ8TKlgwIIdEnUeKZPYVj PZ/0TUeFIClb5qTgSGH2q79+j51HA0v61YsEFwrjC4MGH0vS4OA4qajKpjD8 ycm8V3I0rH/79uKjQxSy48w29K6iYcng1Op7rhRKeY5qbNUlfjjuLeNO4bRb 13ebLTT0JBhtZp+ksG//+0dHjWiwqJXjc05RWLkjWy16Fw35w/LxC85QeH7F IeX/XGjQTsrOCPeh0NVW2/HzERpahjxyI3wptL4sFtl6nIaR4aTa8LMUqn1P F9V5k/Fm4SrH/qRQWuFP1X//pMHI7LbL7nMUTlnv3F8ZSMP25yXxqucpbC7s 5ZaF0xCVOCld5U8h91vpUNF1Gg6/Ud0TGUDqX3ZDPS+ahtyZl0N3BlJ4KWzd rax4GuanD9VmXqDQs2D6n7RkGhRfvO+wCKJwf0/DaHIaDcocv289xNp7fA/F PKXhFuthhUQIhQqhZnf/yqPJffLibiTx7HzZ6shiMv+TJzYSoRQOdnX/vPKC hj1FP4YCiNvk/15/kUuDYMHGS93ENRYRrkFvaFDPkxvZFUZhUfD+uPM1NGid OGOTQczJ1ajxbaDBladwc5Q46uvE1JlmGuw5Ss9ML1Lov7hu40k+yc++k3eF 2G13yrGjbTR4v02J4xJbB3klHPpKQ0f+Xy4/iA2eG9cd6KWBUa6esfISWd9O KTHHAbKejtwIY2Ipua+6doM0BL1bJDxAPGle6L5nlIZwazedM8S9gVeSzCdp kB26uO88cZ+jpvsDFgN+a/Y4BRAfZmRmrBJnoCLrhf5Z4pbrk/eTZjFgeP3r yFFiy9Xdm5bNYUBBl4mxJua+rGu4N5cBlyNrpLWJ9RyLT8otYMB5ca/nb8RP 6RTxu4sYkE15kk2R71e+fi1ZUpoBi4usf9OJ45W99aNlGYgJiqk+SrzwpfP7 efIMTPppPFpBHL7P5PT1pQzkn0o9XU/Wb1y4dtZsBQYOnPoufZ7YM0I6NXwl A95B8qnyxF1KE5tnKDGw+a6dVC7Zn0aHdx5TqgwczZ2V85bs705hocQFdQZY vpb8XcQvryVzxjQYUAnVFXGDKcwq82z+sYGBOdzYvnjSLwoOTp4+OgzsdElu GCP9dWcA5tC6pB7+8Sxb4hBFKcO+LQz0yZ3Q7yX9OVQ6/vGEIalPa+DHGuJT ezu9uo0Y0Ij4kH2I9PO+qwXpHWYMuN9wlf+b9L+WYN+8VisGLtXOUJMg56XE YQ9G2jLQEqEnoMn5Mis3PWu0l4FHZW4ujd4UHoje8OmhM8kvn2HxpyeF17V/ y/ZzY+AWpfDRhpxf2YRfbPXjDGTYZBymT5D+ExuR/uzOQFnu0tIrx8n8TZ2B Zp4MVNqc6opzo7DH76WFdACZL7yzwPIghb5f8qffXCD7LWe/Ke0Pcj53PM4P CGGAx0/PofeT+eXjlv13mQGJXR8TvMh9ZFbq1fc8mgGPmKUSM8l9xplSjrTK YMBTEJQVbkTqO77USCyLgVwsP2dlSOHf9YsGCx8zsESjI22BAYX1qZP7FZ6T 8dlK6/02kXwmLWv7SxlotB6kKE1S79Xr/0Y0MDCkmicvJ0++VxgabNjEgH9J qYaTLIU+Tuc2Ms0M9HpelLktRWGEuluCE0XqY4dcFcyjsLjG8KRaNwPawdIt pizyP1jEzKn8ycBc9WsH/b7xsak88truKbLetqtMvbr4eMdDVaLhFwNdVooh bv/xUbrmgDg1UwQOF92XbP5EfOXNFL1QBI8SPO7fqeej5ETi4PLVIpiTsFNG ppCP87/t+HzWUgRdlllL/cj/8V1sx4FxKxEk2t/iZp3jY9T2C/wQWzLeJD3j oy8f56XltlzfJ4LFZXomiqf5OPfg8veph0Tw6rJbnM8ffJzzgXlTe1YE0le1 pudu5eNMvP98dZIISqoMiixGeEgZbt/VniICXq96+1kRD5+XCToSH4hgz+wd tvcEPDxQvE1aOksE8xkpzbpOHubltPux8kVg+N948XA9D9lJqw2+VJO4nWmB SSYPSwKyK+N+iMB7o9cmlh0PT+u+4P9mOQjFXq7dLfGtmL3blfNqZBAqFhTL bpRoweH+ZZI9cT9gzLK9of1MMxbtNReP2T4Ebz8Pd3WnNmHoriuphT1DEG41 N1+mrxGVvljw0q8Mw+f7f7yrCK5HA/3wmKU6I7DZYZ32VlENuqxsGBf7MAIZ aUvq3MqrcbjmZqf3xVFwf+qwxtKjEuNnsv3sVcbAO1Xv9J3Q1yjTVpQ2o3IM DrNvGFlzynFW8EWHLT7jYKtgHzVgVIKsx+znndI/4fAKjjcnuwB9E5/flK74 CWFPa7N5vs+wXDNijpTnBCieSc4qrM1EvWb5ujveExBm45ugl5eJuUFZt2XP TgDrVwJVHZeJaXVVy5b4k/grbdslrpkY4TVr3apLE2Ccqb/OZ/wh2hdcslsX NwEdiur14poP8ZtBcOLuV2T8JjGTooR0lLLw1bq0cBLCRlpXXnvIQc7rRfMM pCbB2NzLfzqKg9pbcr6LZIgVqdURfhy0Vu/NPLJ0Ejo+uPo1mXEwUoKtZKIy CazyvTpXq1Jx5j+7F7MMyHztBSkalik4slWJFXKMxK3eh8/2vo+f1zV+CHhJ 4pohna7qcZjaLxUsjsR/OFdriseh6+O9ajdfE5tOf5Nti8XvKq3+nCqSf9H5 NvOYWBxZ3raiupHEq/yztWfEotRcwQnZ7kngGk0uXNh1F7d+aot3Hyb5/t2m UCl+F/8Hbm31yQ== "]], Line[CompressedData[" 1:eJwdzns01GkYB/BpRHKNlHYiKdUoYW2LLrzCjlFJQ0VKDGKO7tEaxSBRZhy3 dJMVaWjbymC21Ey/Z9IoRUtF2YpU0mQSFYUav31/+8d73vM53+/znMc6YnfA NjqNRovGj/o1Fbom58Z+II9S11HGzQJo5orW1ptqEO2zyEiWnA+BnUZl7ebY nK5hzfJ8CG+bxvphrUGpoeoanRt5cLB+bp6vM/aCYYYPPxckJcimZyvuOwgC DatF8OXAl0lcLnbwopZXCSJwDqpUd0bi/rdGqyF3EciMjWuf8rCl5S6PHgjh TmrXyqZ92H+la8d/zILnEclhNZl4/rSu3prlR0Fngawo9Qp2fID3Mq0M8NXa LdBIsL05m5UPD0P2yzkRB2qxbVb1iUoPg8kpoW18Hd7nkhL+2P0wWEwOqYup xzm7eIWXIB2c1CPta59gt80cPKd7CEKrnE0sx7FzFnSmnhDA1ZARo1baOKLZ Czc2LxeAkc4Ng3QtbA89g8pXyaDY4qb7Xhc7WNU32SEZ5uh5k9Kp2FNCK9Nb D0JvFKd/jS02Y3ODi30iuE+ZqiYXYfdZDu56wYeTsjZVjT12m53rEhEf2KbB PTOWYFugFl5fAlyErc973LF76h8lVP0Ouxg77iWtx85GExnr4+FOw+K7DkHY R7s/MPXjwWrvgPL1JmyX4mxlfRy03t2nYIdhWyqzy36JA6f9idfMYrHvu8kH Zu6Dby2Z4ksp2HMCjRp09kBqRlnai4vYNk/TJmTxwDBh0iruZexdFwu8rHlQ xNtp2luF7Wo+EHcjBmpXLy0fkGIrhLklA9HQa/JQSQfs0soIs23bYHUJTdf2 MXa40NInKQI6cqNbL7djD/n/vXZuBESlNZ9y6sA+RPfxaOKCIOqU7YpObMnZ Od2WXJAsdFzt/47qu5mYFYfB9GthOfu/Y9e9qThQGwLlFxo2jmmwVVpDB2eF gGPRIqsUGoloPGkaS7QJfJO/VR3Vxl6XF7IkNhiSvHIfnjHGDl7ICnXbCK9b CLP6udh8/6V2rgGw+5ZNJ2s+tq5Fbzhw4EeNUNzExGYXbuWwOTDtxEbn9sXY EnonN2wdsLd8DFK5UPNC6SpvP7issjxjtAZbcZ1x/DMLjv6REd61Frtbu2PY mgVRAf3zrnCwU6MZyRt+Awu5XOIXRN0ntvvU6AXC3M13siOwG4fDJr/yANeZ /COCKBLxNetuxcV4gOfoQo4dD+eluWXdegjm9YyMOO4k0bk9k0aZshXAlHPH 9BJJdCzf2FBb7ALeatq1Zwdx37FNrjnsDAWeqduzBCTaca09sjjxVzh2vdA3 NoNEfoMM5/gPTlBDnG3+6Qh1X5i5X4AT5MRNKnifhT04n94c/DNEn9sblJpD Itl1cYLTBQdYL/2o5ueTyErJvxejWAw/WBWVzOO470H6ByYtAqlkv1NjEfbs sYRny5iQbzEwIj9Poka2z9UEk7kw7ppk+PQCld8pIcysIWlCa2PIJRLRl5mE +OpbQV5QbSirmrpH3G+hYgDfP9zAUEoi1o4vL81lM4B965Dq7VWc06TKrqLp YBAU6aW6QSKfK0NGOk+mwrOX1103AJXLH3z6OAWuFlqP29RT+wribARGUOCb dXtISblwjMfRB2VNtc/tuyQqKpwdEBisC82HqtQ290i04B9rA60xHRBKPGuP NJGoZOUZ+9y6iTCPp5ga9YDav0xj95UOo0y1w7+PSWR3/mu6Iv47UZf5LfJx O5WP9LYeHyFKNJ8bTDtI5CwyFw8WDROqs+rz3Z0kmqgt5ryt7idWi+2lnl1U XyAt6fxAzA85kWj6inJjut6edwTdeNz99RvKrttnVbwmWvYMbS1/S6JqVcfO 7/rdRGz2bE3WexJ5h8GfspvtRIqsrN5CTaLTGY3eGdxHxCdpZl9TP4k6hnJs fRT3iaCzKZwPn0gkLa5NuTVLTjDX7HipGKL2zx6NZEuImHmMvF1fSTSjdqZn prKCiC/26Q38TqKcTd5+g+vTCHlsuYOjhurT6Iy9XOKklf4wSf5vWimz2e0/ b2o1Dw== "]]}, "Charting`Private`Tag$16209#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, -1.0776619596697401`*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}}], Line[CompressedData[" 1:eJwV1Hk4VlsXAPAThVRmDa4GJaVRKlRuS3NChYrcyJShL7MGiigzSZJcU0Ih GTJPtczdzIlmKoQM7zkkvOdF3+6v8/yevfbaa+2z95Yzd9A7x0dR1JJZFPXn +z7XMLTEJRko6o3SnX5zlOffkL7p0iOgxPIuXp9zDmunkze1tT4GSi2m96Go DTqo37w9rZgCVMuVie8fbXDxVTNGwfuPf61JT7NF28mlOW6bU4H6Khn0Qvd/ OP9n5PblIWlAMcflNzfYY/6Wi5GHu4m/eqon5jqgiaP+hNPOJ0AlZF0/fswR s4ZFi6v7if9TXJMETqjXH6B+/sBToDQcV6dud8GoDvd9+TOZQK34tSjt8mXc I3s6ufNkFsnPv4pP6AoOGKnOEcogDltipRh9BZcNuVlkbMwGSv2WcU+VGzrY qqymPhNXn1q7eOM1lLDMSn2klgOUn42IbboXGp5+mMWM5AG17qbcPF8/pD+d EE6UyQdqfO/Gkm4/9DMROqe/jzg0Pkl1nz/mWjjIFEQQv7i/J352AIrY/+17 VbUAqJLqQ0vvBGLNjQ9GAh6FQBn948ltCUHlp+ICskIlQEV2DNiM38FXm2pM G5WIM/mtUDkcTZ9dKfU8TexiccvTIRxvFXxx/PaE+OdFAdWBcOwvz/j0WKcU qDj5pDs9dzG+XfPZlrtlQJmu2fZr6B7O++195tAyBGr9WF2GdjRG2RqYbDhI fM6NrygiGuXbNpiK2xMHPK9d0xGNu9PeWXx6Tvzg8gI1hxgsTovML9xUDpSz nqpsVCwO6w+VaTURf7b9MjEVjydT79e7LKgEL4N5C8PmJmKs8Q1tKzlijb/W /tyaiF0Sdo2G2yuB8jE5HmiSiA4ee5v/NibjtV6DR/MSMVBvuFUwgzi4+gaY J+Hzqb0fY7SrgMq2ait8mYyrdTn9VcHV4KU4VChWnIIy1w/ttH5YDZTqpu6Z 4RQUy0gIFi4kXiRpq7gqFVkh/U26XSR+2abgraGp2FJe6NKpVgPU6RF9Wes0 dFfynpn8Thw4b9ce+XRsEpWS2qTxEry+P5L9Vp+Jl5t2QNTYK9AoW3rjpE0u imzK//5KqA4oQ/dR6YBcTL6lFMKTrQONpI5KJiUXX2uv+WByoA68psdu/urL xfX1Ui6rI+sgIe1JwC7bPPzykn6co1oPGq8uJxQ75uOhikcije4NUM6X1uJx txAX5Yl3zprVDKZhyr+XrS3DMyG8Ez0Lm+Hrxe1vM3TLMNHye33thmYo74bY f66W4Qbp4uJgw2agtqT/lGwuw72XTO9JZzfDis51VROXn6NKrMHjiM0tYJrU cCW4+QWamTw2Tu1sAaZUvoyuK8eCrn0NzeqtsOJ/ZhlBWIWV5+P+Oj3UBivW ly8Zgzr8pfC3aIbdOwjzaFFWD29BPm662F+rP4JG4J4e2Yo2VPltWqCf+RnW /ogINZH4gA0+25pq132Bw5Gh6vWZHbg8bJCbxvkK6ijzNDHkGw5OfOlsV+qC sFiZE877ejB5oLROJLQbGrYV2wVb9aHI0hS6p6cHTgiK6Lk8GcAQ23yrBPle sPS7X/3t8zCOa6T32Fzvgysyiq5fyxh0Va7OW1jVD/lqg++S3UfxS2Z18Gu5 AWjZo1H40HoMeefbYhTdB6FWaERioc44rt8jOGNVOgRz3f4nJSQwidlP0te8 Lx+CwIBGY80Fk7hN6riuZu0QdGk3rQiQmkT1vqjk9a+H4IjT6h/TKyfx6K11 WkzvEIS1th1/BZPo/EEnyk1iGEy05M62X5nEYqcI5RDbYbiX/1eBdf8k7v6k dmbafhh27srR0KAnsXJ/h6+96zDIqGGE1Pgk1i1S+HD8+jC8zTfXz+bn4ufn hdel7w2DaWutUs4yLlLCnxriy4fhs7O/f5M+Fw8lylk/W8Qh/QdZNRVzcVuU iEKtLAeGlIZlbyMXV4Tyej7KceDSyMs4zRousm7t5rM3cEDiVtX99BYuZugG mhhocODmNWfPFX1clJw1cnLahgOpy+e350mwSE10SEnYcyDES3Nm9mIWh4bq 3ii4cODUDTspnaUs1r5P1j3uwYF1P2Pdqtew6JZtqJN0hwO9i/+T1VZn8cvZ 8v2aJRwYLSqojLFgseFkBr8JcuA394WLoQ2LRVrRlc7VHHh//4i7sB2L4aqu GrFNHLBp31Khc4nFA6Jr1ekuDlTn6gVpBbCoPEeax9/PAZ/KrL0ZISwu480q WTzMASPZHY/57rA42ftJde8EBypr3G/6/8ti+ovbW+/No6HpSfa30TQWo/Ku jaaJ0aCzsfHgYAaLPk9sn72QpmH3gqSz7c9YNInct7l/OQ2GMapRHsUsittP rNu1jYZWmwadhf+xOGPR8+PYDhrOdzXdiKhnceD061TL3TRYCavJ8TWzWH0g XSH0MA2R0UrGT9pZvLz07MpvZ2h4ON+9b3UXi+bHlU59NqMhatePYcHvLB69 OSvonRUNlbLNAe/6WFT4kTTS6EjDfxX7tu8eZlFC9uLqVxdpcLU/lthGszh9 9ODpancajB4I/2MwymJbXn95iQ8NxfGalismWCzvKx7LD6TB2f+CqBWX9C8T vPZZKA2Z696WRvJYvOG1MSwliobghJrWwt8s2ufOVCXG0aARFxebMouHp3ub J+ISaTBZ3qbgzc9DJW3nsxFPaXi0/19NRoCHstf33b39jIb3dcY6vkI8FMyR ehlUQIPZjGs/nzAPR3u+s76lNLipHXprM4+HnYsKN3mX0yDWINJeMJ+HdUcC zK/V0DB3YvnjoQU8zPc4HXm5jgaFm0oiwqI8TMheV+fcTEPf2fh2ETEehnTz pu3aaAhwzvuPJb6ysHGL7QcaBFuHChvFeWihGX/OspOGnQmbr/hL8PDoNYd/ z3bToPRsQfcaSR7uzNJoNOqnoUZl/G0msUKX+KxTwzSEZVmpykrxUFy6e5vu KA161lLDDsRTh/JstCdo+PeHSG8acb+7b+yhKRpGv3yUriMeOLXe5iHFwEfa 52ILsSkjybecn4Fj2k/5nxO/DZyKiZ3DwO1mn+rbxFqrvm+XEWLgfkRLxWHi 8rLG5vvCDJivey3cT+pROVVgK72AgWtxSnl2xE/peP67ogxI53W9+0D6WRno HycmwUDM25mIDcRRKx1VQ6UYCFW7K2pF+hcpM3w9bxEDRQNOjn5kf3xO7vlf 4BIG6sIme26R/eRyFOcIyjLQ6PUm/poID+0DJB74LGNgyZLnb/TI/vfI8dT4 5BgIkd35XIz8n5YTDRemVzOQLKv7aP9cHh7k5AlcXcvAiRm7NaWCPCzzj0uY XMeAoXGEpQw5Dykl9m0/NzNgevDs1gg+cj5OGNg7KTMQkF3xTxbFw/BhEKK3 MRAhtOpC3gyLnivE1Qd2kH5pwZseLItjxdx2a3UGLshtXr93ksXz+l0O33eT /Hs3zIz8YvGkX27S130MeKxPtJcaYXHD0Ml573QYyNLT8LPrJe/HCW0MOs5A pU/6x5PdLO57vtdltz4DO7+XF6/9yqJR6OZPjwwZWBbPl3P7A4uBSnPTXS0Y yB7Z4WVH7m+va9kRCTcG9jXuDS9NZ9G5I2em5ioDv3pj291SyH07kJbj5slA t80W67VJLEotipT5dpOBpbU3MwyiyXrFDgNZoQykPEoYFyDvU8L0yiCdZAZY SZl3PaakXqslu2elMBA7x9Dg1T8sFjaJjualMXB6W8yJxFMsNj2YOi2bxcC2 8G8JytpkvT1vFQeLGbAoHlNtVSH1+wW+CmhmoLxt5pKqMIuSooxQNcvA3uY9 TNETLrY+D/LXnGbA7+al7uFkLoZfWC3Q/JuBFwOSa5Y+4KJEnRH/x9kjoG3h xD1/l9i3ZpoWGQH17HjF2qtcFONFj/61agSkLbQvhWhxcX7fgc8uWiMwLjaW 2943ibMxJmtV7AjkLu0ucFw4if/bVvphrtYoUPHjGoYq45iuaZ7wYnwUfOOy Iim9Mfw1KCPWG/kTiop8i4puj2K+/iH+iP1jUGKUZwrPGLx+2PdBXu8YrFhy wNZ2FgflOo68T/L9BZucbI1lWwdwp6pPxBLlcQiZEnFZ79+HZ5Y1c2e9GQfq 7aCu3YMe/FV3q8vRewIC5hc6tD35hlGzTVz15Cch6oeSp7FyJ0p25ifyVU9C eVrvlRz/DzjHw/vEDicupLJ+cv09bUilmWR1SbDQ0ru/5A23BZ2js25JVLLw 1TO43tG4Dp+vDxASt+eB12+ctfJ9Faq0LWoMd+SBUu1Y1q2KKsy+lnJHyoUH 1JFnmgLpVZjYWCuz+AoPGP0Ve5Z5VmGAw5yNy2/w4Kv/Ec0f8lWol3tDd2Mk mV9jKDTkWol9Oz2iNV/wwFGO/8LjZRUofsR5ww2RKaCOyXJ5W55jQoXovJ3i U1C+6+3i+ULPUWlHxo8RySkwHfu3YmdnGR5d2//YbMkUaHydn/0zqAyDBEzk 9siT+FVv57d9L8XZVZoLqZ0kvnW73LGHJTi+S47yPEfyC11S2LK5CD9vbHnj VjYFXih+5tnjXHwwKO7Bj2Rc4PeCp365aJ6mr3CrguQ7fMqmwioXf8i/u5JQ S9aL4Uqrr8nF8b86l75sIQ5N03NKy0Fx4SFrqe8kn9MStU85z/Bgr+BU5oJp 8NozMH0qNwvnJms+UhObBqqxY/CXWxY2mAUfrZQglg5ZVqeRhfodIg/bFxHT HsckmjPRtE364JQcsahngxwnA69WrgrTVCH57FWC1FWeYnY8yPeYEKdebTfi pOJP95+CZmbEeon+D8pSUcUgZbDDgszX7z+6KDgVS0VFc9/ZELfPW5ywNhVr vTr31DuT+HvyzgutUvCTucfZHD/irUIr7g08QoE1pdFemSReb750y5Ik1OR3 8JzOJuO9WvmunEQM+bLS3D33T73cHdpViSgeFaToWkT8N7f/rl0iys41KrKu /NPftce+1Q9ReXCy/ejbP/O7WpirCWicpSK+dIaM/yfYky4XiwVGkyIt1AxQ rlS+6esYFBEomX+Tn7gzKDnEOwbLz/wt9EOIWHC8QrM7GlcK7/+dJ0l88PdK w6f/Yq+l7rC2IrHmr9AXJ+6jvcyFV9dOEMcdqHedCcfamo0vNxsQS25Tmi4L x+VOdHXXaeIxDOddDceWl87lh88SF0vLG/HuoPJFt0Kp88T9v1XifofhRLPf o6fXiY/aKpqph6KX70Pvz0+IVwYUGFv544LLgkfMMog3HBD0FvTHaBs7id4s 4vmKb+zT/DBXa0cSnUdcF3shjfbFXvHX1XxILCB1476vD2rFU0KKb/7031St /s4b39+2asloJ65u+8j18UZL74Yo5ffEu509rm/1Rk/LKEX1DuIGgY7ucC/M XqekdayP2Mdlq0yBJy4sPBt6kUcc9uKFl5w7JqXWnGKniYc8Yn7cc0Ol6PXL r1O/gSo3L+ic54aaHhNZAXOIy1r3X5i6jNf23X4dI0qsXlkrzFzEruYXUpWr iC2lrSk5Z3SokO84qEDc1hdEZTrhVE7Qo/q1xBd8svzUnVA68pRK+0Ziyn7j KhNHPHyGY9CvSry4vm65tR1m9C+NEdEmvgK82zrWGBDna9p5lNimxGzghhVa 6g2vztT949ERXuk5lC0ry9YxIFYyKfp7hyUabLeo/2ZG3HJuV26gGf4fRSdE ag== "]], Line[{{0.018527738344276564`, -0.00041773003312695067`}, { 0.019628681609693666`, -0.0004756134233865339}, { 0.019628681609693666`, -0.0004756134233865339}}], Line[{{1.9730157104597952`, -0.0009689507773460448}, { 1.9752885790904147`, -0.0007964286977211188}, { 1.97771928062301, -0.0006332386697170053}, { 1.9787207152144783`, -0.0005700720622687783}, { 1.9787348917843108`, -0.000569226280091628}}], Line[{{1.9878216550560006`, -0.00016158173214630978`}, { 1.9892207977123333`, -0.00012246897415714203`}, { 1.9897035508114822`, -0.00011015535555269906`}, { 1.9897035508114822`, -0.00011015535555269906`}}], Line[{{0.004330457838550809, -0.000014846056192396873`}, { 0.005417489561734625, -0.000025033090059523033`}}], Line[{{0.014153764658858663`, -0.00022737018734630965`}, { 0.014805055429162054`, -0.0002517715721639391}}], Line[{{0.03276828218404136, -0.0014909980158881453`}, { 0.03877345108030803, -0.0021617249938721272`}}], Line[{{0.0015835426096924678`, -1.374905672868465*^-6}, { 0.002498553563646729, -4.068215166519451*^-6}}], Line[{{0.02178799830232559, -0.0006010566950802598}, { 0.022614659439428423`, -0.0006558439288847928}, { 0.024392215195720882`, -0.0007736520106362832}}], Line[{{1.980216524766344, -0.00048407907265257677`}, { 1.9808195907502975`, -0.00045155375610930976`}}], Line[{{1.9914196500123493`, -0.00007251247711881348}, { 1.9924419094414973`, -0.00005415336285371146}, { 1.9931356869355459`, -0.00004334729392674319}, { 1.9933221566670647`, -0.0000406716808871721}}], Line[{{0.02634958893945713, -0.0009189416682389151}, { 0.026844438154139595`, -0.0009585319036565408}, { 0.027669001512152964`, -0.00102450080184191}}], Line[{{0.01625108857998861, -0.0003110981792965951}, { 0.017175101510522775`, -0.0003521572669962225}, { 0.01725222814019493, -0.0003557330701013939}}], Line[{{1.9972083674759915`, -5.2885490990917106`*^-6}, { 1.9979406775092352`, -2.5714605200732876`*^-6}, { 1.9988593097021097`, -7.088262592358363*^-7}, { 1.9993135319588609`, -1.8397797596492182`*^-7}, { 1.9999999591836735`, -1.0776584069560613`*^-8}}], Line[{{0.010452116315053678`, -0.00011400153348795072`}, { 0.011449102014118605`, -0.0001403706337654853}}], Line[{{0.03060659187613595, -0.0012818095295781262`}, { 0.03149277197995973, -0.0013655199136426432`}}], Line[{{1.9626724852278754`, -0.001988084649893196}, { 1.9635202768839841`, -0.0018898709802890323`}}], Line[{{1.9837694148334848`, -0.0003099548666902763}, { 1.9848985602377929`, -0.0002633268495948471}, { 1.9855849874626057`, -0.0002369950434770729}, { 1.9859329599986912`, -0.00022422324607074273`}}], Line[{{1.9955382299177344`, -0.00001592013712414797}, { 1.9956089530489183`, -0.000015364263362110715`}}], Line[{{1.9824060028682993`, -0.00037186035634391115`}, { 1.982493904629403, -0.0003676419219766913}}], Line[{{1.9707098218150039`, -0.0011626808300713165`}, { 1.9711700157415382`, -0.001122502377022272}, { 1.9716526097143128`, -0.0010811816135953833`}}], Line[{{0.007984504445927354, -0.00006199057244988531}, { 0.00918978315958251, -0.00008489074555839693}, { 0.00918978315958251, -0.00008489074555839693}}], Line[{{1.9676892402150108`, -0.0014453103320670735`}, { 1.967755017501798, -0.0014388043978863507`}}], Line[{{0.02514923683282817, -0.0008282485598813949}, { 0.02514923683282817, -0.0008282485598813949}}], Line[{{0.012881336336973713`, -0.00018358894598602404`}, { 0.012881336336973713`, -0.00018358894598602404`}}], Line[{{1.9871838999539597`, -0.00018148180278032555`}, { 1.9871838999539597`, -0.00018148180278032555`}}], Line[{{0.0066929997658162575`, -0.000040885619287500674`}, { 0.006747386089046483, -0.00004165844332337798}}]}, "Charting`Private`Tag$16209#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0Hs01HkYBvAvbTVbrei0uyWiRc5KcxApxTs12dGSk2uZSkQs5Voh3Ui2 Oq4dreTS0hpC00z0G8k475BmMnLJUWJqZJpQDaattmixv/3jPc/5nOf56111 IMb7oC4h5Ff6/k+7F4W2JnaFQPQTO0zOHEB1XX2c8V9FQFgZ2j5JKHrlDUR6 rr4GpPtWDmtOBFq7m1UZymjn+pucMI9ExpzDI8Phf9I9+2qwxyHc3zBzG31L gbxM9t0sjMLvf85l7s4vA+IWedMhNA5TGXWWF5eXAylQNHBWJqIV59KF2lja ScHx5Z8SsSc95o1CRpuREEUeJ6H5HOsaZgIPiHAd915eMkqny5m9PRVAYrnz vbefxkUf8h1MMquAPDtZM+6UhpTtsXy3V7QXDT/vkqZhYKzP5zinaiCaaHm9 7zkUjC1uaB2lLZTvKElIR+/RC5sjXW/SPVv8sOc8FrxIZlMzt4AYsfrfaDJx i1FAudJPAGR0V2/g1Sx8y3Wcy+DTzu0pHORk40rN8RD+WiH9v5aiuTU5GBOx 3oI8p21j7/1p2yVcEiq4wdtQC0Spc8LS7zLuDigTaN/fAVJdM3RmUxFOKHwX XDekgHiGHG2uLsLfAxkHfdi0o3mct4bFWBcSYyi6TDuM+/f76WLUi3ZOP+Eo ArL1irGi8xo+ONvPnXeqHkjvR1MDzzK0u2kwz4hxD8imZio+nodtzAdBHTa0 R34T/3GXh0G3kxpPB9Deu9Fl7SwPs0SDsUPVtPeEtDVkVeCohK+o2NEIZAUj b7uwEq892X7bNk8M5BurSLeF1bhwNnUvZyUC6TjZ9GqZAAsidgVa/0JbdPfL x0MCNO+1DjKIpm1tQCWgAF2q+kIUTbRdzg6+XifEhqp8qp4pAbIle5NSKcQx H43YvVMCKTGKyn1Qi343rrQf+a4FiNSXKrOisHjfWY+wVbRdBGEOeyhULYnq 2O1Ae81P53UyKYw5tbXLeR9t0DFkj1N40XusZz6f9nF+5SFKhE3/bh0o8rgP KX4t/j6ed9HCa3z0fkYrpHzbp0mrbkTDMxyn8LJWICWqvUPDjajPL81YUE/7 B9uAVDMxTjF8mF4q2oy4qQslYuyW1B9RbngAKfHpk6LLTZhskzrz5TXtoyX8 7BzEzsVLlzJZMkjZrza7qmjGxM6NUPCxDUjwsWn7cCnqManXbQw5SA4vGzPP kGJ5lk3mVyM5EI/RYVuBFB97WPYHusqhlLVz8vpnKa5pX3rEIp/eGz0tHLoo w0HZREWtYzuYFtsNdNc9RE4zT68j+RGYwunQRON2/PGOgVJHpwtexlm6vjfr RpGK/ahrcw+wYOdy93NPsSWyZEWAphdY/TLT7K4X+Gm182J+VB9InNu4Ya0q 1J2s0V9hMQBujof9zY6O4PrZIJHPrefAmuCWOLlr8NE5+06p1SCotV672GIt muS+m6wafwlaxg3d2Icf8N3nQeUTGxUYTb1TzT77B8vfNsr1sl9BkuOwdjx8 CvWMKyfUajVo5boB/atmMDOCCis1H4Y7Qds2xo0QyYTsq3+w/Qh8cZ1WszN1 Jf8BbuxWYA== "]], Line[CompressedData[" 1:eJwV0Hs802scB/ClQmo0qU5KLklTFPKSFL92wsvtSJcXJbctJEINldxGOK6t m14z14iKZju5dqy+s1hOxEpm0VTqLKXrUa6/cZ798bye1/v1eZ7v9/s8hrTo AyEqBALBDy3lLqmpD/or5Cc25aR4vzdPRZDiklHWIP+JTZfcvpGNEwSGMjdp ZcYvzMQcn3TeNwd2O9KvrbGawPLmyYKl+TPgt753ekHfBCa4WXN4NWUSfj3J HzmVOom1vHPcFP9pHFiLAmIPGE9hFta9BtaqP2DFcGOFSvsURk603jjY8xkW J6Ue2nl6GpNq9fhjxR+AcCeAO6I9gy3/HkeNsX0HdDY3X1s4gwneL6IUf5fB gy1Z6qSoWczLrvjOaJkESG50szRNHFvupLuKc18M5W1aS+1IOEYwG7qlVSEG i52cjz9W4JiXtYR4IUcMnuTRauoaHDPgj3gXHxVDjmqAIcUYx8p/GgksFb2w 6JHrKoIdjgneDHTEMHtgYpchITkEnZeHBto+7YJX5uK+eD5yU8HpTo4IysZI SQsBx/bUMw/nZouAduegSX4b6q8aXhgRIoKPxgPnykWoXtMZcrqeCCbWDus9 FiO3NMevZHYASePzcZ1/cYyhW9nXcrYdnOVqeB1RgRF0n6YtCBTCkpuuVbbL FZgg1Dcq2kEI3dRcT6E2yt+e4s7oCeGgTPNG/2qUTwRZnpC1QdCLlc64Icpd Nmyt9m+DBOGGS642yEm8/rJjAuCVYsbvAxQYY4Io1V/6AMbPj6tRqSj3XU+n P+eDjc+tMdkx5DmRn6KQD61aWvUDYchXFxjyTfkgYgxTuujoPsfXS+beCkO0 pMB7mSj/NMPmsO+D6qZWNqMOeSsuSKE1gevC6GQFDxmvEg9aNEHeayPa+Xpk P1WdqPlGILFyTGNbkE0jLe1LGmHdEt+W40JU/2peddJQA1iNTfV7SlC+mhyR SasHf64NSW8O5d2XNevYPGjyndIUE+YwwpfZ2lMneaCp+veyCwvnMIY/yz7O gQcCP3v1j+ooJ4hOZIm4YKThON+wAtmNd/K/wDqQB+//4mGKvIOoklBbC1G6 J/9JPIQMy17YVVWDqMP88TYf5NtRtduPVIP+6W/tI0eQTdwecYnVIH5MF7gE IueUsi3PVYFVXHyzTjjyw3dmRw/ehMnezKq7KciNOg8xowpgZNxIfVWjnMfe 08KxGIhn1dyoHORDczGdL4qAHRapLecih89F7A0tgnr3nZXfGpA3Uy6/zWWD nPSsXQWQB7Ol/LcscC8lqJv2Idds637dXABSZqiY048cxJAXexdAcGo3y0qK PDLO3TVxDZKDWaa7Zcr5Xyv0bK8Bb7OF+74PyJLU7TGiK7CqOfBi3Czy+tIj HsRLUHm7w3tGgfw5dL11LBMs2Fv0UwjzGKHbY/Gl3ovgmjTJzVqM3DkSk5Wb D4l7mc+KtJCDtknjfsuFkd6HOsINyOLKVq3MTIhuM5Y5myBLnxmzZjMAv5dT 1UVGtjB1ldEzYOV1b5t+c+RYyt3i0HRw8fvqM7oDuSVF/oGWBpxRvSJND2Qv 3GXALwmySjKChj2V9b5erwlJhOADXzbW7Ucmv8zuoCfAOj6f94cPcnmwQU9h POQwj4ryaMp5DN5orD0DoY6Pcv1CkAWj7rhTHPw+vXm/WZjyPc1GZnGxME2b GeqKVPZjSShv6BBmU/hDIx55D2OT/fNocBwjNA8mIDMcSu5HRIF+eVhiTbKy X7esiBgJkiW2am7pyv/482x6eDg4ySTrspnKnFqelhUCBlccRg5fUfol70lw MODO1bfIBci8jCe+rseggRdn1clWmpxL2UIFns3gboMKZANP33JLf/gfUcLy UQ== "]], Line[{{0.015412559489574392`, -0.0007538933711259688}, { 0.017175101510522775`, -0.0009542148904220227}, { 0.019628681609693666`, -0.0012748064025327466`}, { 0.020242076634486388`, -0.00136260853436454}, { 0.02085547165927911, -0.0014534903081528938`}, { 0.022082261708864556`, -0.0016445256083876814`}, { 0.024306314482584017`, -0.002022546512982615}}], Line[{{1.9800128763771412`, -0.0013257407364459795`}, { 1.9814664241137292`, -0.0011256811534625655`}, { 1.982152851338542, -0.001037174693307108}, { 1.9835257057881674`, -0.0008715812575506021}, { 1.98421213301298, -0.0007944642775559174}, { 1.9848985602377929`, -0.0007211124235908528}, { 1.9855849874626057`, -0.0006515082860669708}, { 1.9862714146874185`, -0.0005856334224869642}, { 1.9869578419122313`, -0.0005234681989403356}, { 1.9869578419122313`, -0.0005234681989403356}}], Line[{{1.9943344794172735`, -0.000082576573063875}, { 1.9951949686099844`, -0.00005703755724084658}, { 1.995881395834797, -0.000040282819549375404`}, { 1.9965678230596091`, -0.00002664657123752079}}], Line[{{1.9921023879292483`, -0.00017322672835895503`}, { 1.992449259710733, -0.0001567772939274903}, { 1.9930589692131917`, -0.000129988979438167}}], Line[{{1.9972542502844224`, -0.000016023220485550382`}, { 1.9972542502844224`, -0.000016023220485550382`}}], Line[{{0.010420226732736583`, -0.00031976651892584584`}, { 0.012181771315412964`, -0.0004507551156933687}}], Line[{{1.9898585528143742`, -0.00030121668343419117`}, { 1.990389978036295, -0.0002674899389472074}, { 1.9908268777251665`, -0.00024135893325372137`}}], Line[{{0.004929362547335268, -0.00006041294353664739}, { 0.00613399106425376, -0.00009864821185168182}, { 0.006747386089046483, -0.00012204352097100468`}, { 0.0070541304580072385`, -0.00013475443285848598`}}], Line[{{0.0030108407854104445`, -0.00001977638964945072}, { 0.0036538523432536356`, -0.00003071556145073373}}], Line[{{0.013457281519494598`, -0.0005606209773443283}, { 0.014331664319664934`, -0.0006433109866108566}}], Line[{{0.00012281403876088337`, -5.976158234943796*^-9}, { 0.0015077563834993003`, -4.027595128519579*^-6}}], Line[{{1.9783570357250508`, -0.0015746948049599752`}, { 1.9787373661730594`, -0.00151552089466378}}], Line[{{0.007974176138631928, -0.00017697659990112413`}, { 0.008094635367353508, -0.0001829635680810071}}], Line[{{1.9994970648041506`, -3.033113635808604*^-7}, { 1.9999999591836735`, -1.7613646505765246`*^-6}}]}, "Charting`Private`Tag$16209#5"], {}}, {{}, {}, {}, {}, {}, {}, {}}}, \ {}, {}}, {DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"\!\(\*SubscriptBox[\(E\), \(c\)]\)", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {-2.318488873461998, 5.122036128568652*^-11}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.77091487170299*^9, 3.770914937943899*^9}}, CellLabel->"Out[68]=",ExpressionUUID->"bbeae9d4-e664-4b4d-8dec-cf4e71f98c57"] }, Open ]], Cell["The two limiting forms of the correlation energy are", "Text", CellChangeTimes->{{3.7709150225158453`*^9, 3.77091506026794*^9}},ExpressionUUID->"acef0eb6-59f8-4a4c-87a3-\ f3ce45fa858c"], Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["E", "c"], "~", RowBox[{"-", FractionBox[ SuperscriptBox["U", "2"], "8"]}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", RowBox[{ SubscriptBox["n", "1"], "-", "1"}], ")"}], "2"]}], ")"}], RowBox[{"5", "/", "2"}]], "\t", RowBox[{"(", RowBox[{"U", "\[LessLess]", " ", RowBox[{"2", "t"}]}], ")"}], "\t\t", RowBox[{ SubscriptBox["E", "c"], "~", RowBox[{"-", FractionBox["U", "2"]}]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", RowBox[{"\[LeftBracketingBar]", RowBox[{ SubscriptBox["n", "1"], "-", "1"}], "\[RightBracketingBar]"}]}], ")"}], "2"], "\t", RowBox[{"(", RowBox[{"U", "\[GreaterGreater]", RowBox[{"2", "t"}]}], ")"}]}]], "Input", CellChangeTimes->{{3.770915036310934*^9, 3.770915234050701*^9}, { 3.770915306794395*^9, 3.7709153144780273`*^9}, {3.7709162969391603`*^9, 3.770916319126707*^9}},ExpressionUUID->"74c0177f-05fb-4684-8eda-\ 6933d1fbb8bc"] }, Closed]], Cell[CellGroupData[{ Cell["KS potential", "Subsubsection", CellChangeTimes->{{3.771208715433119*^9, 3.771208718059854*^9}},ExpressionUUID->"279fd5b3-b101-4014-a2cd-\ a2312d797303"], Cell["How does the exact KS potential looks like?", "Text", CellChangeTimes->{{3.7710033552531023`*^9, 3.7710033601046057`*^9}},ExpressionUUID->"1cb50b86-d0d1-4d84-9129-\ 9468853babf7"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"dFd\[CapitalDelta]n", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{ FractionBox["2", "10"], ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "10"}], "}"}]}], "}"}]}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*FractionBox[\(\[Delta]F\), \(\[Delta]\[CapitalDelta]n\)]\)\ \>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Center", ",", "Top"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.7710033337865047`*^9, 3.771003340226116*^9}, { 3.771003372977234*^9, 3.771003402583377*^9}, {3.7725252273620987`*^9, 3.772525231339006*^9}},ExpressionUUID->"6be25bb8-7d9e-4ec4-ba5f-\ fccb3c01d363"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 0.008193159324289823}, { 0.0005827660898796174, 4.221706916573377}, {0.0012068952428188247`, 10.}}], LineBox[CompressedData[" 1:eJwdV3c81f/3N0PKlqJCpEhIRUM93y0yGiKriCJEoVRWog8ZGYWQNGSlMpK9 M0uoRGTWtTPutcm99/31+73+OY/X4zzOOY/H6/E6zyF90emMDRsLC4shKwvL /8U/a5Jehz4zBMv/H1mif72s7205Czz2Un6kdFac0G1sy362zhoH0/T2PR5Y T8iGbEgmJe3B5IyNOvN7HUHXuRRjJXcNXsoFRw8mixF//VqqraJd4CzMtlNp RJQwtp4vjVjnCvGIjU2r/xMhqo+I51fF38LP0B2VR8yECRWZA1kzku645HPB ReCCEBHPZpm2OdETLzgb97bdFyS4KfdeGcl5w39av3FzvQBR9Lu5scrQB7ft 0kofywgQzqetdc5H++LRZ9b4Qxv5CbmK2dqZtnvIk17RcEWYj+hWDjgSus4P Brf3Kf6RXk1EvVhbsfmcP+70vtLpObaK0OF/o1EWfx+HDKIMzbx4CZa7+wuN egIgdiP1VE/lSiJvomE3VTIIPzU41lwSW0k4WlhkB1gFg+YyLLTXjYfY1ERV kkp8gFSfz7JzfdxEWLrQVn25MEQKiy4GtnERxzYkJY3YhiN82mCjuzkX4V0b J/DR8CHIPe03bv1dQexSUww1jX4EyzgvGq/YCoJ/wvXLZvUIWLf3+YTnchJ/ k0t5ptoisLJoD++kCSfxUvTU/eB1UbBWzXlZ/Y6D8GyMqTYqikKE/GrtkPMc hJH/bzaZc4+RY7DCqIOfg1g163K3OD4aFK3BslU+7MTQu6LSgAMxmNmMMl8N dqLSmp1u0BODsHsJC/FLbIRbS5TbmOQTXA3t1pXwZSMMQrrzCiqegOZoLa+q xUYoHZWb9bOKg5NHAosRPxvR/yHfZUPiU0xLhQXrJbMS+pEdV07KPcdJy7R3 WwdYCEVdmTTxuucweaQoU1fAQnCzOw4N2r7AjgYVhbxQFuJCIfN9ueFL7BGu HTi6n4UQlX+oZBKdgP3T8n+UtEiw+eecKBtMwI+GkGotFhK03+2Osuqv4Kfp aKlUzMSXWOm3tLZXUFU/80hMjQlf7g9bgtYlIWhGX8r9IAMKWo8Cs52TkFh/ WVaDpKPZ32mksy4JMxVHpP0/0iHLrvhW6VYyTuV0sTno0FHLSFJqaU5B4IQl B5vjEpw0/gtnyKfiCvvlSHv1Jaz1tKLJ+aaC811mwQT7EuwXNmS7K7+GTfu4 v/zLf1g1Hb1bMiQNmvEdvVb9i8jdcTP6eF8aHDT6qNn5i7BwNph32fcGAXxC oV0PFpE5zl9YPfwGbDneXM/VFnFmOFDjyrF3cOMtcVB4vIDYbo8jucwMzOjW Gxa6zOPQetOknrOZKLpq1NV/ah5/zdQ5udMzsaFsJ1+M0jw2jrlfSt+ehbZr P3R8x+fgZK+2maUrCyoGFrKCLnMQss58nbwnG/EK702ehMzi8n8bTfdZZyNp 5ydKpcssil+F8nwNz0ZkZnGbpvEsrP84XFkYzIb2r7i+szKzyLXYqqj7+AP2 aUXIniufgYlpQiZtMgfGO1+r+XPOgNppuPKVeC7GpJQspmnTuG/BbWNwJBc2 7ySCn3RN48MlJ/G8qFyse+TwIyhnGnzXDvh7qudBY3VGR8/ladTc+2W24k4+ WAMDciJbpnCeMzQ3Pzkf7CFtAcJVU5gKIATsm/Lh2fMxpvT9FKRCU2u+SBZg suzV69DwKXjF3FR5VFkAiek9q3hPTEH1neCK9dxFaNXXfz/VNInPSjWWjSpF SJ/0nKovn4Tle7dib9MibNt9mV6VNYnQvF7nP2+KULh6h/uayEkMV6R3ppwo BjXQiVfFdBLPW7Xf74gsgWZWWFfLXxp4Sd/zWhvL8aTssNxxaRpi7Y0tFDXL McbnVPlOlAbZFkVLwWvlYPPoebt5JW0ZR9sudZaWQ2PGoTllkIrCtOjcfKUK CMVfK1AOpWLcYKxEt6kCbSaWH2T/TODs65gvN1ZXYmfHxdvNCeOIN7+nd1m6 EvJZtgNdYeOgCF1tNNldifTTx9zZvcbhdOfw1wPmlRh7crgv0WgcQWfGm7nS K0H7teaD/OpxlNIPdzzVq8LO/IBDq+6OYbP+xHDVg2rYdfO13nQdhfhdrX22 CdUwPGyZv+3SKATSXz5YmV8Nxx37Xi/qj+Ift4GSPqUa/E2mZV3Ko/hWkX+j Z08NpsN4FQrH/sJDxZe5MFAD/blY0SdX/qKJX0REiahDx6Y2yZCbI6g6cNXm +9k6bFXWfN5xeQQFDrV5rg51+K3j0b7PZASJdW6mxdF1kDvT06O8fwRud7uf Hx+vw+B1gcEh1hFsoqbIX4r7BE39L4xrEcO43bQXsTOf0eKwr2G4bAh8SrkD n7nrod5M92b7MISkUJWQpfX18Dk9s7AldQjf9bb8sjhWD9aId8OPw4ew7YvI jc3R9Uh5YXFqyXIIvXXUlGz1L/A+x5f7i3MIWh+T+Ro9GsAhxPA4ZzwIsRzB HlbWr0iIPCdRLDqA8yFLhv1rvmKVqqC8Pe8AXlkPfKlV/Ioyt/GNUqwDUBQt LHxg8hWGXer+r8f6cfiW5WPRrK/w9SUjpKv7oRZvnBKl/A15G5/2prr2w8oi xfx1zzeIZ8rbJ3f2IY9ypOGrRjPsrhotVpVR8PO472SoVjMCbUKfXc2jYC6j bI3emWaku5xjrM+gQN1zr9Un22ZMdB5sCnlGQYGw8lxFRDNSW0ybMr0oKDwq LpU93Iyg+lJN+n4KSlJoN6KifuCecq2SR9kfVF55JmE61gKp7uMTYd9/Y1bu AH/61TZo+DVqc/zXA7bFtwISmzvwZbozmt2nE2qkZZ5BRhfIcu55t9l2NPjt aqpV6EUAxd//9JufkHw4upg28RsbBGhiO8xaMDrf29OqQkGobU1ypEEzkv4W 1/OF9cHIqdJHDt/AtyGV2t/fD+8h45spTxoQYp97+aXsIPIq13vclviMOeJt v93dIYT+e7jjl3MNXFWrc9ZUDePnLt5bt9ZXojej+sF36b9gE0458UKhFEtX Wp7Ke4zCJluqW8c8D9sOcTEvF4+h6uz1lHXiWdB6JW37XmwCP0cSpBvLX2FX LJ9c7foJOHi2vy4KfQWpsKX+DukJRFE69qSde4V/7q0XORQncMSr3zZoPgHp +kEWxsQEau6HZZ9VToAw6+RZht0EIkLySLWDL9B7oeKodtEEtmRKez5kxqLh bDq7RfkEBI2vfH4VF4sC3bjK69UTcLtFuuapxSJC3ZWIb5pAqGN+459rMTjG v1WDSpnAt17xEa3ex3hbFr7zMS8V2ufvDulVROD2hgub/pynYk5JZq/ciiBc PK1i1GVFxQkFPXa3w4E4+R9rcNtlKsYknMS+eAdAbiRxstGZih3ZC9Ou8/5o yRmuKPKjonTwkdnP4XtQ0bt+IeodFVvkjO6Hxrhj/d0jkeHvqWA6CceeFnAD V7ZIXXAeFfTU3zSRoFvoEctX8q2gQpwnRDbB4wZC+pYYV1uoiDvfGh9cfAVu axp32P+iIsO9KVkq3RaXtJ/bWPdQUdP3Hy3/uTX2ZRKNZsNU3Jlkav9gN4cc RZDVaJyKFjf721xDRhAU7dulP7WMi++4uzTqT4OulWOnN0+F95M47UGzYxj2 8I/XolNRMpzwL/WwKv4abbNLYKEhd5dmzMTHtbCkCbNJstMQt/VC3IvEg/gZ RH8az7l893sZc/GBLnRlBnaLc9NAv6vo6EkxQEVJ49eYZZw+9LA4TpM0hZpR nr3oahqCPTUf8/BZYlNQwDMBIRqe86zvble4jNhNzuphIjRY7BVXObzXHnwl Jt95xWgwu9b1652WIxYn5Dm51tMQ3fTX4YiqC74ZNjgyNtMwLOfCIX/qNhTH zvK2naBhV1NPVtefABQY6pUHn6bBtTm+SzYvEEdKD984aEDDJ4WZyGvBQTAL U+5MNqEt80lqx4qdDxCkwvPW9RINYaHdGnp+YRh0LdERcqfhZu1nZlxkBF4y NgWfSFquT+51d1F/AmF+Gnf1PxqyJMlh2cOJ4Ch/mikTP4mHavwsfYWZcNhV /ItHdwpGz+4F/sjIw1vtiy/L5qawZ/7ijRy3UsyOigsMRk9jD+NDqczsR+Qa aLFHHZ2B4onQsvcBNbh73P9FzuAMbnn/ixCb/QTpbp32RP9ZbHjwQDjFsQH7 1P2i1qnO4WCBwu8yhW84v/HrIuuPOWwVf9ZqJtyM2fpQirPvPG6+vS+ldbgF sRwWrmdkF6CSt0Zly7WfEO7JfcVWvYCJkYN7m/LawXnH13CvyyJ+CBee+WfX CZY0i0yK0D/wSbU8sFPpwfW4zFChyn8QGHmUxln/G6XbArkFry3ruD8rV+gs 46dai1hjhPMS/vJv4RZaxtcsr9RHIjeWcN8kn7+3hoJXjbXia92WYG43qxPY SkGgE+d2yXtLOMgqob52loIzH+7pb49egl/Ed41du/swtO9OnHbZEkQivHMi CvsgqHNd8R4fHXbfAuMaW/rx8iM/7z5BOgK2+cn87umHyt70kUlhOgR3qKkt Dffj5NbhFKt1dEw7/dypy+hH8AoL6UOydBDmobsN5QbAUaW9hmUfHQcX3yyK eQxgbr80i7cNHd5Z+pxdWwfh/6GsZ7cdHWOfho9J7hqEyLbzpeNX6KhTXK12 FYPYKR7jYe5Mx3ODtpvyRoNwXlg1q+FJx6HTqrmb/QYxkrMwsvSQjtbfS4ug DKJr+7cf7iV0TBgvOjxf5s8Xo4J32MvpeNzhlRa0zK8X0wzkQpd1tEhi6Fef 8iGMyLa5vayl46avpGpk2xDmJHo21H1bznt6DetwD0Nw5ZityAAdXEnn3ks4 DkNzkIuesZqBHxpbHJgHRsCTpJ28R4ABHzfTjljdETRYPThZKcRAv3xb4mHT ERh08yW0ijHQXn+kvtp1BJYtopp0aQY6U1dIBLwbgWelzENtNQbObn/RuUny L7KeQ7bfgoFtrZF36wRHMe0xzWVlxcBTRxs2TelRqBmnjnZfYuDfwsp17Sqj KObn/9BmtzxPM6dY/fQoan16Dn25zsC4Gx/f3/BRdF68cyH7PgNTR55VaQqP YcWW4jifDAasco11bLaNQ5vdyZuRxYCrgLlh6YFxhPRuuujxgQFv5fFNKqfH IRgbLO9awEAH7irZ3hzHeh6zAttKBhizC9IyH8ehOrrQevInA8e9c0zFLCZg nqkmuIHJQD1lpPF8FhV5Zgt831iYYPs4tSr2ExV8K4pW/cfOhFvL+assf6io OH+Ae4SbCY7cGM/tPDRsWnmUzBFmIrKfXSdpPw2D1vrjevJM5Ow6VXQieVmP CgiPktuYGIrsu7eUTUNMcctwthIT7rayljUVNBwXMulfu4uJ/uTBxYwuGt6U W3T2H2TCAz0hA6KTuCbu+NnLkImx8SZerbBJ1NZsr1M2ZiKQy7x19NkkJF2o 1RRTJoLNNfVz0ifxre56xfELTMybZKVlN05C9aZ7vsiV5fk+GfE3+acw//V+ 8ru7TEgNjhelxE3Bxz/Bt+sNE85xf9N2tU5j9W0uHat0JiRcwj9qjUwjzu6q 0GAmE0rcvLaPGMv+QndvIjWHiXIZh9sNcjMYFPxezVbOhFeDEBuL1wx0n7Nw y/9gwuGoQoa96izawy9/S29lYhPrhISLzrLf8W2IVW1ngqIbd6Tq4iy8rWPl NbqZyFDIkj8ZNYssBRXdU0NMbJ/bvrR9aRZr8i+E3Vxiwme//ofKX3NIfF1j 9I/BRGrRDmOD+TmoxG2TvLvsW1NmW7ecEp2H9p35zEBOEu6JR+kRZ+bhdST8 +1N+ElNx8nFPm+fBs3v2iZQQiS7uy+qt0/OIljt3MVmERMl/WRwRogvI5Nky nbGOxI5f92wSzRZA+VomUilDQmVm5tnD0QU4fZTt1pQjESitfPSk4CLo2cHJ X7aSEODwss9UX4RotJFa6/ZlH60tG+d0fxHHz08YD6uTaBaK1fVU/If04Q1P +fRIXC8MKlR9uYTAZ/6WPSdJ1G0dDR5uX4L1mfHNGfok9H5NdE8J0bG+pCTr hDEJyYr6nQce0BEcfq425CIJuukd/YthDFw+WvXgvA2JUpuNui4/GDi8qKCv aEdCY+etFnNxJhYv/uv8cpWEtc+8s0IGE3ZqTyZXupMoaC3Za08jcXSUJb/D kwS0r80+kWEhJF/aeb3xJnHJvyTG8jQL8ZNnD5eOH4n2325rrTJYiOyyFw3r AkhMy7Kn1vayEGE3uCJGgkh8iU1VGxBiJY51/1wfFE5iJjLzWJE3KyEVcZBi EkHieGjy8fR8VoKumZK69TGJ+71+A81TrERO1k3VT3EkbmeJ7D7tzEY8tOme j3lG4o+KSQwzm41wED9WavuSROLP1dOhC2zEJj+R41wpJM7d0ixSDWUnmHu8 Vre9Xq43VX70uYud+DXe15zydvn9fuwU11ThIB4afzDXfE9ixQYf9VP9HITj KgmZNTkkjq2lmqUe4ySOf7w3PJBHYjijTs7nHSdBKpy54V9CYuWO2qqZkBVE R2/hnrPlJKR27Nk9xMVF5EVJM2UrSXweltUTeMBFRGgHVc1Uk6i41SZiK8ZN XGPSAqvrSAQIrdRdncFN6HwwORlVT2Jn+kMj09M8xGa7CmHrxuX+6witPpKH YNmw9dfObyR6LuTNPS5bSXR9D3/O/oME5ZzBUk0YL1Fwf/7Sj1YSce/LO07f WEVE7b8gn9hO4hS3puEnp9WEM6124noniRAXvxeZgXyEbrJSzuEeEvvkWfe3 VPETcmbR7kJ/SNhWXBKzjxIg2PiZByl9JIxq1hRTLQWJniobjuzB5f1YLNIN PClEFLk1fvYdWd6nY+Xi+22Fiejtu8P1x0gsBYdzjDULEy6UeENpKolvRwWP dpqvIfRiOMQnJ5f/n/hbpd/ua4mteo69FTMkHG4EyvKclSA4WFuSHs6TaPzj eqGNtoH4nbv/iuW/5Xwmm+p95U1EyZVEZRUGibvBJdc8i8WIGEneWZIkYbm3 fl9knQ/+B6M5h/w= "]]}, Annotation[#, "Charting`Private`Tag$26110#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwdV3c41e//PseWbCoSEVqSfKTSuN+lstoklezQEqWSpIjMUrJCRtkyMrNl VmalRYgk85xjr3PO++v3e/55/fFcz/U8z+u+7+t+3fJWV0+c56BQKPpUCuX/ qmb50vBwdX1Q/n8pElkRsdRTkUaQK+qSKuRYQ/TJKHrcUjbDr+mhQRcJecKg 6XvOCykbFB3iPb9kpSyhGLgqkZS7gBDH4Ou/2dIEU9863FLZAerp9vnJglLE kFdbjWWYE6xO9/s/NVtOnLKZKQuWckZZ4/NLA9LLiPPePzoj3W5CZDCveeOY BKG2Znf2pNxtTB8c9uKaFid275dtZXregcWxzNy7K8UJu7iaO/cOumMhT43H 0kSMKP79uana6D5yFA7rMfNFCcdjNvqmYR5oi58kGpVECeXKqbrJ7564u8tp n06MCNG52Uf7kZQXKIVDmVprRYiQ2BWVSme9oc02Pyp2TZjQF07bVR79EKkF scsMU4QIyr2dRcZdPpDak7rGiCZIFNAat9Ll/PBx8oLKSQgSl83Mcnws/VG8 Lmeb5MulhEIzXXX1qwD4PqBZKQktJR5niK07rvwYxflfUlWpAsSBVQkJg3ZB 4H0S8EXbewnhXhcp8s7oCYiRrK224kuI0+5/jjyaeoJr/gPh3Qn8RGOiW7V1 zFN8EOgZ3K/FTwjTnBuUtgXDt5yP/3onHzGUWMY//j0Yv/v6eNzu8xG153h0 y12ewdEp6MuwMh8RJ3n0ob9UCGQnPR92fOYl7jSF1xgXh8C0KnVFmCcvYez9 m2PN2VBoPFeq8NnKSyydcrpXEh2G368vpjxK5CH+vS4u89kdjlH1DLEMSx6i yoaTadgVjoJbthva5HgIl7YQlxG55xj60uGqm8hNGAZ2FrytfI62VY2/l1zi JlT3K095WUaiqN98ol2dm+jLLXRa9SoK05JG6irvuYjjz9ovHlGOwect9u1l PFyEisGaVOn6GBissape0s5J8HFe/tdvF4srq1V9UjI5CfMi9psKozi01u4P DT3LSUiuf6JqEhYPK6UxakoVB8HhnXe4vD8er7avFv0bw0Ewfv+4rLjtJU5o yuzid+MgGiLk0xnfX2LNQobu7+0chAdf7lo/qQR4LAy++1FCJTboPPXNcUzA mtaDu/qjqMRn76uDHfUJ2B6dOVHgRiUUOVXSVW8m4rHiG/EHBJWoYyWotn1O Qrxc2nvOVgpxddeDINb6ZETW6jicz6cQK+5YMpQ9kvFaQHC5cRSFuDC7Kuf2 5hQMWKoeabWnEEsnwrbKBabCtOHLsxR+CpG/5UaY7p9UaDus30vtJ2HmaDjj pJWGH7Pv9fyLSGSNChfVDKQhclVOsYA1iRMDvrsuHniNoxt0LWQq2IjodNXO Z2dCq/lff3UYC3tlTid0ncyCiFjqsKEzC0NntnHzZWSBX1fy38UTLMiO3LbO 2JSNNBvzcDkRFq5e0FSi/MoG4bO0VOcpE2I2WSmJ23PQdvGJumDKAmwfyJ7W ssnBTy1vz9jABZS8fMTfEpSDf3c/3w50WoBNz6WLs/056C1w2uWwawH5ZutU DEJz8SWBO3rlt3mYnI7PYozlgc0RS41bPg96h9GSl9L5WOEYJO/FMY+HZnzn DbXz8StBwDFudA651lelC0LyceRhoevdmjkIOez2vrOtAFb/tfVnOM+h1vPn GZ67hZjXiI1f3TULU+5H+YWJhXD1+vRpReMsxn0IkQvNhXiZ0GSxs3gWqx8l 1zbIvcWOgrA2Ztgs3MJvqD2teouSsg4vsxOzUH8tyiPDVwx30S0eEq0z+KBa a9GkVoz3+yBsVzkDizcuJe6ni2GkmeTRnj2DRwXdjj1pxYhZ+na1QvAMBioz OpIOl8CNy1V9rfEMYr7qvdnyrBRnuD1ik/9MQ4D0MNWRrYCtT7tur+g0Ii6c MlM5WIGBfdGP6rinodimYiHqUIHQ+9vUKuamsCf1u3VHWQU+kzFPRnqmUJQa ll+oWonqy9e4t+ROYdRwpNSguRKDjKDdqqencDIlvOG6YBVs0lwanr2ZRPQ5 z0O28lWgHeo4EJk8iV6xK00mW6sQPHnsV+aLSVy9u69l97kqmH1j11D9J+F3 YvQzb0YVvAPlbutbT6KMua896lA1GvVbKnRXTELpOG2gOqAGcQoin1cGTED6 no6WXXwNZrWcZGkeExDJiAtYUliDOfmGG40uE5jnM1Q93luDao6p969tJ9Ba WXi9a3st2Iq8ObP7JuCq5sGe/VuLFT63LiWwxtEsLCGhStTjoN0Lr1DXcdxq 3oGIyQ8I5dlXvu7xGIRU8/9+4PuIwmXL7+f7jCHhkVrggsxHuNhekNX1GMOn Q2t/mh34iGFjiWp35zFsbJC4rhT2EXsnhpzVzo6hu56elLOtAcvWmq6MXj8G nXeJQk2ujfAv6+s88pGB5XmiXVRqC4gwXk9IMWAauGDUt6wFyfuTi33FGXhp 87ehTqUF62b+nPwmyICKZFFRgEkLzpzNDnHnYGDfTYtQyewW1BFiBVw/6NCM PpUUsrkVHZVsavw9OizNks6ldLWCuoYv4nUbDQW92o0tuz5j+Ls7af5sFFUX X6w8PdKGph3Cr9aaDmNKebdwxpXvmB5tuWb4YBAcc+kiK5Xa8Wfw0f2WjH/Q JC0KDDN/4dj89/njEv1o9NJortvQjbT4nWZFoX2QezI8l0r7DV7Xed6nXH8w PNPd9VWtFxpDfIc6QnuQMFTyUejxHxhH7GacFPgNoVXJ9L6+PjiYBzzzWdqJ wAv5tnGK/dBRn/P/tbEd00R6n/29f1DgFkldOvcNzuo1ecuqB7CiRMnh9Z8v 6M6sCfgkP4Sq0OSnkxdbsXCxLWq96zAcXbZubC36gI17edm2JSNQTLkq5d1W BZ2X8nZvltPQ981WS2FrATQihJTrZGgY9OM9HzOfj9WPF/ra5Wnwf6UdLFmZ j/nbX624VGjYzUmXn9LPR8ZxP7NTBA03ozeccrXIgzh17CTLngYTfgejZP8c dJtX7tcrpmF/xt6BysIMNJ7M4DSroIE2ulMkZW8G3hpEVl2rocGCR8fAt+E1 grc5E9HNNLjMaFprdKfjgPC6XfReGrg0xZm7edKQXh70X6gAHRf9tyirGibh 1ipzhR5TOl795yjr+fkFrI6pGf+ypOOovm518mA0jjyg+n+3pSOhY1VqHSUa yoOvxpoc6ciVbBYcU41EW95AZbEXHesoR6TZ/mFQO3TNPOQ1HULX3WjHvB5D 5p72s6A3dLjVprZNvwkEb45EvX8BHS/kdrFDu/3RtbxQ1aOSjgVJztZ3Wj4I /LPAutJGh/LNo9UFPffgsqxpy4WfdPwaLU/P3OUGa72Y8zZddDzN9WLEhrtA K4toOjNAh8oVKtPpsBOUe0WpxqN0lOqUjqccuwRRyT8ax8fp2B6bcd+OxwZM nTz7QzN0fBhyf7PP5TQGXL2jdZh0aK9Iq7eoP4Ah44328RQGmLG9jWt8NsGC Ic4hx8kAv22di8uBE/jmx4yK5mbgbFqzJNcVi0Wf/7tVmo8BDaqYmG6hHSpL m1rClzBQQ9vp+pB6FZrGBRckF3WWrlTY0KV0HQp+Pi9ExBhw3bfgz+voiggF x22PJRiI0xXjFpd0h1CpySeB5QzwfDhQINB5H3O09dy8MgyIPC9q4PT0QqtR 42WWEgMjKWsLCxoCoDJyUuD7YQaOplnpZd2MxlujQxX+xxjwP3mb7+j1F9Au 23d9j+GirvO73/RfjcGZx5s7Ek0Y2PMi+bS7Rhz81PjTna0ZsPIQ5TTb9BL9 zqX6YrcZsFfm91OWTUIcS8H/cAID+7+WOE/NZ0BcmMFXM8+AgqBDvXFTAbgq orLWRI9B9oWnVHRQFS5plPzkNxjHycwbNWdFPyJdzyqufHocFs7vhH2DWzE1 LC3SHzaBl55BNavLvyDfUIczZP8kFF7mnQ8V/I57ut6xef2TMEuqenNKoB3y nfo/XnlPoT1oi4nFwC9obfMKkVKfhnrcCE/0TDdMZVvmqF+mQXs/Qj1i14Op j496HT1mUMeKymdP9CKCy8z5hOIs5uu+qb290gfxrvyXHDWzuG60p0d25C+4 73oY7XCaQ5JxkrZf7D9QUs2yesXmMZAvx11yfBDXIrMeiVXNoyrgL+Wc4TDK NvryiTosoNU/ZGml3yg025Y3BTsu4OlrdWZo8Ciy3ZKfSlxfWMwXh2sdo0bx sqlOeoXLAvRuPKJszRiF71XuTXKeC3iXtrN/tnUUJ3I9j28KW4BpY8yEsxQN /7TuRuqVL6A9bWjfjUwaRPWvqXgKMdF82+TjwyE64t4JC2iJMpF2P+l37hQd ajsyBsfEmVBUdM10XuTtkXUDSZZSTDze9KenQGCRBzxm8nsVmXhm8nXBQYEB rmq9ZRQtJs50m9LzFnkyvVOe4n6eiaqiyrAv2Qx455Z3bbVnQn+TpB+lkAGJ jaZloxeZUA+fqFUvY+A/6XDXc46L+5eMdJM/MOA4u3Rq1x0mMivLQj71MjCY Nzu48IQJf/XiTxrLxvBrU+uX26VMSJ3JOeO76G+xw6J3OSuYKJbaWM9e9D+r VEPlR++YOLKlZPWdRX8cVPzuElfHhNtHoY/eUWOYXtm1qr6ViacjPAf68scg umTETuIvE5I7bta1Do/hYD8vM1OQhXb34OY603HwJ+glbl+cA6331KhL2Iyj 0TLgSJUYC48POu+9cGkchp1C8V+Xs1B9c0v8hkV/tmiTPMiUZyHK8Kbe0ohx 3Kla80RPkwXXE0//nfk6juwYKPaZsdAvF9OYaTyBCdcJXktLFuz/CWcNm01A 81TycKc1CycD28+p202gRFg497s9C9ciJN07b02g7n7X3oZrLOR5Rl3IeD6B Dqu75jkPWWAEPqfqd0+AZ21J5P1MFvi4gnp2XJ+EHudVd1Y2C9Lj9ip9bpMI 7Fawcs1lwYanuifq4SREI/zXO79lIefmplUakZOQ4T/z1q5q8b13P40KVE1C fXj265FvLExP5YTckZjCuSxN0VVsFm5cVLEOrp1CwZlZoVYKG8Z21iFan6cg xFO89AEnG+ukL9vPdU2h0nQ33yAfGwKf0lVKZ6egsGQ/mSfOxuUnb3vMNk2j 3+b46KH1bPiaWAvYRE1jj4j4MLmRvXhubfaL1GmEl7QN5KiyQbux12OicBq6 YiZ9KzTYiK77z2CqbRppFWYdfXvYWG2649I5kRk4SF/+4GbEhgxzucjaR4u6 rd1Uv/kUG1YqT8xPv5iBnBO9pvc0G4J2D+9lZcygtf5apa45G1rl290+NM9A /cbtQomLbHC4/re1VmwWMy0PE1/fY+OwhjIcXs7ivne8x680NjbYvlXi75+D 4C1efcsMNvj0O/MT5ucQaX9FrD+LDencOeZN4XnkGux4Rc9jI09Lobl6xzz6 RT/VcCzmEpn6f90yT+dhEEPhW/+FDXUNJ/V2gwX8CLJtzfjKxusgTfplm8X8 4NEYof6DjbfpDyP07y7A3SZi/a5ONpaGuMqMZi0ge4OawdF/bIzk30xmr2Bi WaH54xsLi/89dtyBymTiVUqt8TyLjZD5Xz2rpVlQi9wod49Comq0tzJ9Owt6 d2eyfLlJhKkXOwndYsFNO+hTlDCJf67bf5+aY4F/69Tz1WIkngRzmCqsZCNM +axVogSJFfkThx13s5HFv3YiU4rE0NHzzQkP2OhtKZeoWkNC5H1oaccyElff KXYeVCbRFrY/SGU3CWaOf2LDOhIJ8dmb5W1ISIYZa37dREL5tb4Ofx4JXVPa qYFtJCL9O09qqFKIjIFVUUKHSLgxh2QvD1EI3xfeFl1HSGyfwAEZXiphc2JU KfM4CYNrR4ZvKlIJmdLS7MOnSIyua2zVsaQS/kFn6wKtSGzrv8rS6KMStvur A0zPkxAM7/wkzstB7JvbcFzFnoTlaofCng0cxJzVfEfDFRJTFcR6lxschL3m 87Elt0kY19n5LiznJPYPUwrb75D4GcCRVazNScjF2buluZPo3zF0o8ORk/jG v51X34tES+QVg6ctnEROeWyjlM9iLq3YJXSCykU8vs4bPOhHQsh8SK1Rg4s4 0PlNxi+IxOHkiwGn47mI1cF7ek2CSUQ4JRuktnMRzINJyetCSVgvWSOksoyb yMu+of4+kkTdvpoRmxBu4sn5zpnwFySopRvLnb5zE5ekD5TZxZEYe8+MMF/F Qyh4SejyJpGo5Wfx7c7hIdjb3QS/p5Bw8mBGF3HwEj9H/3xOSieRc+4KO8KY l3hyKvfcwTck2Ja1LTYCfISqCL/yeC4JYSUqT6ctH6H7znPgbwEJldva6mfb +Ahyw4nr3qUkxMxfxYXn8xPt3UXbT1aQMHK6MUxTW0IUhMizFatI9JScu2qY s4QI1vOrnqwhER8TQ0nYI0A4sBm+NfUkSqdf+Wp9EyD0c02OhHwkUR/qoLPg upRQsq8Ut2kiUZRWHzu6QZCgrFr387/WRbzL/cZe/RUkfn0KiuH8stgvc/vt nvlCxNuHM9ZfvpJYf6ng/PNYYSJkp/n6Vz9IyN4dC7hlIEI4Mupo1zoWeUgq Xh1oFyEEU2UKZbtIjKc4cpk4ihI2xik3NXtI5BlK19/YLEZwCLP39P4hkRbo ey5xRozoqj7PldNPwmr3SwPJDnGi2KXpg8fgIh6s3u5vbAlCeqtoKP/I4n0X ahpLVJYRTr3RRvL0RTxSe/qSWpcTh8K5pMfGSGgz+Bz2iEkT6w5d7q6cXNTJ odDp2FEZoo6rKvnyDIlZzfdZMgZyxAbFD98k5knwfxV7cV1egfgfmbko8Q== "]]}, Annotation[#, "Charting`Private`Tag$26110#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{0.000030710567566166756`, 1.8258385324487965`}, { 0.0005393820480729804, 10.}}], LineBox[CompressedData[" 1:eJwdl3c01u//x29um+yWiCQqQip8Sj2vShpoUUayUmmS0FIaZGSUIhklMzs7 IpIoMiplZSRE1m2v+77fX7/f9c91Xud1net1rut1zus8HitsHQ6f5KTRaKc5 aLT/26VeJp7d4W0C2v8vBeKoLnLYP9YCrvkFQ4168sRzp21lULMdXmavcH7q JUsU/GTiKNkzSHpVVUc7JkOY+048tVG8iCW5j4qV5JeRB+VB/dqulzDQmp72 zXcpMbGbKgpa6oxJt08jJ7iXkLKdUnkfIlxx8vlkikHfIqK+cuvrcdlr0Hik rX9sfCGJ4LROXBVzAzlhSiMOSxeSxJXbP6/juYWgHgOP4NOSxPK/075nvW7D 5Ty9sjtcgkSpcec5xt8BZ15qjqSUBFEsmSgfb7iLsrSGFbNh4qRVzWun/1IP yHdG7xJbKU7q5YMX1Et5wnXb6ovtn8XIPpEknXcR99HVocnFd1CM0Ny35B9t 8wJMrZd9HxUli1KFRZYQH/wyj/4s9ESUnLe0zPSy8cWmQsEvSw1FiXzNsKpc zAPIe6Y4LKGLkleWHdti6/2wejBuctdtERKQKr76kGIAnJ5YWN6YFia7ZGJj +04HQo/zOxl0Eya3ysNE3xs/BNfNghFFAWFiduvPfv+Jh9i9eSakJHwB2aip 4m8W8gjb2z81uG9aQESGnKtWaQVBXPbMgoxvQkTK09KVpzcIq/U6XKLPC5GP x3n2vLv6GB5dfaUXZYSIvR1Zk7j+Ccp1tO+OvxUkN6qflh0teIJ3l6sXpl0R JEc9OzhXHguGc+OF0J1rBcn6rWu2D88Fg0Q8kLPoECBCE5fc30aE4Mmt/36b PBMgf1MKiry2PsXMGbuQJ0cEiHm9kYZlz1Ps67F2LRUVIJHSBpvl3ENB6tfv Xf+Dn4jqdqdNKj2DSu6R6w+D+YmRX2vum5JnmEkRS846zk9UdRUnPGzC0OK0 ViJhFT/hZ17ccIgzHGyZ73GsIT7SlZV3SSYmHOOJ+pX3CvhI8Tna676dETjT mB3/xIuPaDx+plAyEAEVpfWTTUZ8xLXlkcpdz0hcTMhQu6fIRw49bj67X/E5 IlbNyGhO8xIV/ZWJUhXPkbxu+YR+FS/ho5//23P6BV5xyYbeecFLrPLZGcXG UXC1D+imGfCShWseqpqGvMS3Ywfvm2XyEE7PbMN3PS+hEJQiYhLAQxgdjecV tKIxW7PR7OI5HlIVuiKZ0RCNJIvoNx+UeMgdviwln6WxWM3PWimWxE3W7n7k nekYi4kT6x/0+XCTb54OfS0VseBL2BTkeZabKNBVklVd47AxiS7eu46blLNi Veu/xeOVXJNVZCEXcdC5F8hakwBDVeXAkpdcZMkNG4binQR0pIT/dPPiImem ZTKvqb1CyaMGhBhzEaGxkE2yfonQG9HhyBunk5z1LiF7/iRCRDb5ZXsrnVg6 Gk1d2pyEcjlpS+cKOkkfFMkv602Cim6w4c9wOjnc661zdlcKuNL/8SnspZPQ 1us7c9hpKJz6F+afxUm2S5vFth1JR9BJVYM10ZykKcnl9YmMdNSM2WSpPuQk lV8EspZwvobjjeTrcrc5yfKBaydS173GLwEf6wcOnMThjOYq2q/XiJmduu6k xknE7dJfxWlnwil4QfvdfA5y6t5ys812mUjhbLKISeYgb6P9+WsDM/Flx6/w gUgOYvf73Nnpnkyktp4+LHKPg+RYrlbRD86C9+GiRzsPcBBTs5fpjJFs1L+P Dq0YopHhFmOBaKkc/NNSKxXropH7lnwnjXbm4EjLnuJbTTSSdcJBKvdJDtTU fkfHltGI8MWtnje0cuGoNvdTJYJGPt5tMue5mYcVd3OHKg/QiAW3f05eXB40 D/3jjdWjkVEvInqmJg8Hgz+dC9pKI3L+CR+rZN9Aslrleaoyjbg9dVF/VPoG ARM1DvV8NKKRIsYjzVcAl9jPT7b5U/is+tG6Wr0AE77HvxjepGCdcfXtLbMC WF08K3zrAgX/3HbH30kFuPXf6SLsp9BbktoSb/gWxckecZvFKDz/sTdj/eNC iGxbti01gg1B6o7F7uXFEBSUjvpTzkLoGRNLFb1ibKM4a30KWFCoV7EWu1gM pUZVF900FrYlNpxoKSqGk1qT0mQwC/mJITl5qiV4k8B5SvcUC4NGA4X6NSWo 9s7wNhNg4cirp1WXF5TC6GFwENuSiYjjdw1OrSiFm1Bb3GdjJjrFL1SbbirF 2uY/PdH7mHC4uaN26/FSiHK2mbprMuFzePAbb2oppD9E/GsRZqKIuaM53OAD JNQLBrhK57Dq0FDvhwdl4DJ4oKK9fg5S7rs3n35ZhoU9jnxflOYgmhr1QCCv DE23t7DOLZ/DLJ+R6qHOMkQEbsmuFZxDXUne5Tbtj9jivom+8u8srqvfYU93 f8Qdnd4f7S9mUSMiKalKKtBgxlowt2QWV2r+Q+j4Z+jf/9k1rTADYdWc7s98 laCtsTc2XD6DWH91vznpSsjF28UkLJ7BVwOlJstdlfB5+DbjgsAMlKskL68K qcR+da0j2xjTaK8Yjs/UqsK7HhZ6C6ex+32ccPX1L8jbVm60xHwai7PF2jg4 atEYnKrCET0FC785465FtRhcuGT3gogpRNt1V5Wr1GKgUKZEJmQKKgvz8x+Y 1mL7Eo40fd8p7HC1Dl74uhYH5c5GNjtNQTPCJP6JWh2U1VOV3ulOwcYy/vir tjqoPanbcrZ/ErmdO7/U6nxD/JkU2+kdkyg9G7nMbKAexrULZu8snsCE4laR 1AsNyBFP+WG6bBycM8miy1Y1g4demMyzfAyalHWuUdovlL49JSa+bRRfPDbW lK9th3v57EDkmRHIPuyfSRzqwFBZXWHyfQb6p9rbfqh3IpnD+BNlN4zYf28r hQP+wPjh30fZgYMQlkkY7urqQvNBcz6z1/3wO5NzKkqhB8Itf/oWNfRhkiR3 2bv/xS5KkJuk/IWzRln2og+9CCl71dHg0I32tLIHX1f8Q/kdT3bU607Mna0P X3O9H4+/jXf3S7TDWPP4I1X3fixepPXccLYNKRw99zd49CNpoZ/O8442WIZO Xdoa0A+r0sjfgqlteP9Ras+h6H5MP+L7tGhXG7zkbMavVvajxiT8Z/OlVkj8 HDT4JDWAnpaoP2FFLVDezss+9XYAzUr7FCSlGvE6KVmpsWQAWeTbadGZBmyU PHhob/kArl7Suj3W0ACdv6Gxyl8HcIJjbf+F4Abs91+rz+gZQJPJwl/rRRrg 1GQYek18EG+4Nv3qZf1A/qUnGn5nBqHzRkT5XcV37I5ecTpj8RBirNIPHVpS g42hworl0kNITPU6cbOmGnIBc13NK4bg1jZpctOjGrPXfthyqQzBRyjKf2b4 C1IP+ViakCFk9CUI9JZVQYJj5AjLfgh7tLTffz71Ge1WJbp7C4bg3BBdb+VX hi9HUumWxUP40bzJ++rWMrzRDyt1KhvCviaD0AtDHxCk5UwiaoagQUs0GTrw AbtEVusMdw4h6JTtrSNipUh+F7ghWHAY/KurQzZIF+OKjJX8b4vh+bnyUye2 Oxu2B9WP/rIZhqzmSa/+ndnYf4/Dt+HUMLSuhVkIRWdBsS9mpNpxGBs4FZa1 H89EfXZvSYHHMFRiLNZ9TUiHuoGT1ZOUYdzjaU6RdYmDtPvOx4EZwyhMoqWP rYsFb6ZkhW/uMO7uSd0R1RONtsV5qndKhjFy8fmon0kU/P7MsS7UD8Na4JbH mEMIri6qXn+maRjXQmsk09sf48Te5yft2oZhvPHW/Z0HHmFzOqk2752vl//T bJGFNxQ7xTiODg6Dq1Vq8OHmexBb+GfjodFhNJ5LWFu13g3M3dn2BlPDkF9t 2aYzdAm91z0jdjOHsc/p32eVJEv8O6ps/5LGQEDxn6qUz7qwZkhwytIZ8L46 5tOZfwY/fZjhEdwM5Ld8CnwsdwX6K7s3SfExsJs/T4Yr8zZKCqtrnwowsKFo x/3I757QPJp7ZuECBoYaRXsEJ3wh7+MVKSrOgOb5CyEvwoMQKu+oFSDJgE6s 1NSUcjCEC02/Ci5mgDnlnKZYOM91Q2u4eaUZ2HRfbslYSwTqjL+cZ61iIPus 7jpLvxioDBwRbDBk4POXrrvc41l4Y2xQ7HuQgeLzD2R9Y7Kxs2jH5W1GDIS1 x2Z3HM6BeYBaS5wpA8+cD25gv86Fjzp/svMJBpYPyWnXn81Hj3PhPvFr8/UD HXzLv79DFEve1zCWgfgn+2K188sgIcLgK5tlwMJ02aNXDTX4VuTrtZfFwBkf K8YBuVoEnV/FU0sxkDu2XLPKvhbileb0Zq4RiPuMTevMzMeeH1nDwiOok5VS 4Parg+hc2OiylSNY276GFhH/FUJ/d/26rD+CFolvNu8rv4OrODx9ZcQIVhQf Mt1Y24BmHd097c9HYLvhWaAbowHpBQMdYS9H4HzysFWyWCPMc7eKiyeMgG3R J1xk1IiM1HZnWuYIpNatTcv82QjLiJWbWytG0PjLs3iqoQlvriWXhYyNgLX/ wsvrn1pwbuPbJn79UeyrDuQ0P9WOkrofKW8MR2Eke63U4U47Fl5guJ8+OApF gfJTThHtKI5bpfjxyCiGly/M3fatHRKLHzrdth5Fyb1NjOvLO/B2xk5wymUU jVYdXVe9OiBYLLy1K2oUzVdGdX8d/o3kvbZR7yZHMWOgMOf9tRMT/VKiPSFj eHiv6uY9o27kGO2mP9Edx7KCLU/DCv7CfY/ni+yecfC9mi5Oe9+HFa37GmM8 J+Cxbr952LN+bNbyeLJUYxJ8OqzcPrdBWCyvneH4PomYTcoOVqrDmKj073S8 MwW2v6ia+k0GQrksnQ8rTCPN9pfXeqMRSLTlRHOWTcOkJmrkr9IouG/eMf7v 0gzK3VwMdy0aAy3RMr1TfBaKpbeXFtHG4RSW7i9eOotCyayQBvEJFCl784ld nMNX3zLvvq2TENvnpHJ3niMajLhrbrtNIeq9iOBmMSY+yzetNb47BfX/UvtG JJhYsW5zrrL3FPav7o23WTrPHTSNK38fT8GXx3LFdgUmtkjV3QhKngLXh72L aJuZ6NbeGVHUMoXJLStot04ywcV/pzIW0/DMete2yZ6J0BcD2sJ605BUtiga PMuE6IDiiJvBNDZIPb1+3JEJ3SRf+7Nm03CcFprQuTHPRQUh4fcvT6Mve7pv 7iETR6+oZle/msavdXXfrxUyIXPjmMS/eb540S92k17MhFC3ufSzef6wTTRS 9H/PRPQj+4X7V82gT6HhalQ5E6YdIryVGjOYXNYmU1HHxMqUnVsE989ATGDg tGQ3E/aP3fuLPGeg18PLTFvAgmxXoJTu7Az4Y/fGaYuycDh5OruSYxZfbB7s LxVnQdXmHc2MfxZGrcIvfyxmodO5athvno+s6xfqMVewUOHPL2KsNYsbpSsf 7tVk4Qn9zDIH11m8fg6FLksWspLf/radm8XY9TFeGxsWBPprJxvpc9A0Sehv PcHCVjOLP6ZCc3grIpLVYM+CV/Dil64ycyi/3ba9yokFu55JIxUyhxbbm1aZ 91lY+HlrXYjXHHiU3obdnufUyql+jnWyTOylO9xivWahuGOFpvgaJvza5W2v Z7EQ2OTXzbWBCbFQ3zXOb1hI5eHaI7GbCWl+8zenS1m4QUlrNzowodE//WP/ Txaab1sHrSpj4ni6ppgMmwU56f/W8V5jIdd8WriOxsap/ET6qCcLwjwFQvfo bGi5Gz4bC2KhxGIrXx8fG54v9mnppLIgL6BLZUuw8Tu5lT7QyUKP3aFBgzVs jPTWQsyIjW2iEv2UMhuJogU3Am3YePq2vjdTlY0mK3uetY5s7BE37VqykY1X S26k5PizkVRs2dK1jY2o4xkbN1SycVHq/Gc3YzauvPWrVd1Lofzjugo1EzZs lUfFXplRkL00XNZpxgadrXxg11kKdRVOJXus2Fj5aIJ76AEFDZdreZJn5+PK I4T/K4Wp2vtxKe7z92auo91cTyO3PV/e+ZXERrOLya+4HzSy4ArvPptUNswi NOMWd9BImP0F8Z50NmgXvkS8/DfvS/r/xQxns/Flmr5EksZBesS+lnEWs2Ea f87OSIWD6D+n8a35zsYf81f6rb4cpDHwVF3qDzbI+L9og6fz/nbnS6hGIxs7 nBSDfsdwkFt2oWt0Wtk419Wb6l7EQV6vVdc/8JcNZkJAQeQoB1mUZxXgMseG XqSrsc1JThLz6uPRWRYbIUUuOY+dOYl6mLKsO43C7nCLPbwenGTvzal0b24K lnzJi3xjOInbzsCv4SIUJEMc64y6OQn/polncuIURh1sSm0nOUmI4jHbOEkK TFfqeRbvvA/zK42lLaXg2HBYW16ZTjpr30mWrqTw7UrnMWsXOnF4r9Cqp0hh GzMoK8ObTpiZvnFVqykYRwrp2EbQiXcs48JBZQpDB7YHWLymkzWdAZcn1lGQ p70vT/hIJ9FehWwzdQo3Yp91mTbRieo1+Yo2DQpbD6rDeohO9lgMmfRqUYjY u+FB4FIuktorEy5sQEFI8NiAZgMX8Y70tG6b98BPln3c0uNcxO7w4Kq0QxSi 5wpMksW4iXRh4WtDEwpSgiGRf/dzE9/AY+V+thTydT6dC//GTVbvyQjQPklh /4RRF3uMm+yYWXtIxZ6C85L6p1VLeciM7WxL1bx3GpoKhtXb8RB7zWcjAtco cObtLNrOx0t0+2l5zTcoiLRdXb9sIy+RjbJ3S7o1n1ejm4fY8JKf/Nq8+zwo OD3VufCwhJdkvnvxZakXBcX7/NEfRnlJwGXeoD6fec81zF2up8hHdrX+lPYJ nH+fw89/po/5iFzQtk7TIAoFnt88FlXzEaZefMLqYArkXuO7Jj5+kv3aReNT GIWydvUMVS9+8vBk69TTSAptIYSdWMlPzkntKjodRcHjXV0lt5gA0atNuasV M9+/q/JHbMwFiLyH5B7e+PnzUlMfX8QLEF1dvUXnXlGwCPdnTv8TIBlr6oWM k+f/v7xDdsF2QTL6/HhwWBoFnlqv1PgEQfLQJOu4XgYF85YfYgk0IaIqyq84 mkXhvHGW/LSFENnz/m5vdy4Ffl9tJf3PQkTB9V9qTj6FkN/vtztoLSDvVYmr TSGFO6r3bFfELyCVAjdOxhZTSPsZ5sa1SZho+O+aPl9K4WDtuV2Wb4RJ0F6f D+NlFMQV9/QmaYuQi2yGd1kFBXW1ukG+OhEilKd3yLGSgqvdqebIjaJklX2J hF01hWYrv8XJj0SJ3urR3xW1FALWmtiF/RYlv74GPqd/p/D7PNfyJlMx8ub+ 1InvPyh03J7c5VEpRr5pXVKsaKRwKlpDP+6AOHFklA85tczPHe2Ygyd/ihP9 ONXsHW0UJh0U74+4SJDe4x5uQx0Utgu1nZxYJkmUynVdCv9Q856ncMC9W5L8 D4eT3oo= "]], LineBox[{{1.995231006039287, 6.082865242004943}, {1.9959157171960376`, 6.503980587974624}, {1.9965678230596096`, 6.989855881557991}, { 1.9972199289231818`, 7.605465098057605}, {1.9979784310066, 8.689933032930753}, {1.998488169062255, 10.}}], LineBox[{{1.9995237429707817`, 10.}, {1.9999656378224329`, 3.9443263873701473`}}]}, Annotation[#, "Charting`Private`Tag$26110#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 0.018395679504112472`}, { 0.0003968027918627924, 10.}}], LineBox[CompressedData[" 1:eJwVV3c81e8Xv651P+a1EipbQlKkCOeJNJQdUiIZlZDZwJcUIUQlKSoZIXuP MjJLSBqyV7Y7kH0vv/v763md13POed7nPOc5z3lLXr5h5oTH4XADTDjc/9f9 ycb07fwB0OY3UHhtQRTJ7jyp/P1BIPRYNJ7ZOCKKqoa72hvO3oUN8Q9NLYUi yMPE0cAmPhjE94/hO3eIIGc9L8HU5/dg2VfjSUjBdjSwL0wvWiQEpgxMRjJ2 bEdxb7bXyV4IhYXT5g6KecJIVAXrzIp6AMcd/uzPNhRGUUnCq4cpYSByqzox YnIbmmh3S2FWiYAGxU1e4yfbkKutbVGY/UPwkp7hCNDfhqQ6KMoSqZHAQq44 eW9DCN0Ogq6YxiioXn56JPWjENp1esntkeUjmLc85dbjIoT0d6alTV+JgZd3 DIYb1YVQYPNL4qezsVAgFy/tQRNE1oFjRtFLsbCWfmDHsWZBpKauFG0d/xg8 9J4XCz8RREM8P235dj+BthL6s0UnQYQ3eLd6tPkJ7Nh13OLcIUF0sd0y8PPd p3B1H/FKGbMgShYyfvBQJA66HdeLD/QJIP/2542WVXGQNE5mXS4SQJahw3jp C89ghiqeMhUpgPZr7zlK2XgGfD2FQyxXBBDXkmfQh6R4KKQF8+rqCaDJnKrq MO3nMKW5Q6dPQgDVOzLTzAefg13RY3d9nADStuWwX7FNAI2qH9iXCX6EpB+I cR5+AXppX64mV/Mj86iBsoq6F7AQsXsqL40fKR+TWwqxfwmsNftNvMP5EUZz VzXFJ4JOSKbWlis/+ltc7rkzNRGmROMNY8z4Ue11XMG0XhI8eeSiwazBj15K nyKX/k2Cer52O00JfnSz77HSvdBXYEEV2q9K4EemT3tdjOReg096RiidyoeU Tktniba8BluucAmLXj7k8VSssN/uDRx0Wbj6rokP6TzD59kSkkFjgYm2PY8P 2VVuFtaeTQbnpTOBIS/5kNCeWOVz8W+Bx3FIVcmQD+FDSwxrJt4Cd50rP/EI Hwo32ZOqDCnASns4VLWbDw1q0SMfhqVAiDQX9+ntfOhrgmQ2tTsF4OOodSA7 H6r4p99qKZ8KR0d8LKVWiOidicv0x9upEIZ2aYtNElFcziOC9JdUuC/fzxLd TUTBhOLdESJpwP95W9rBz0R0ZMVswNI1Dfxjjzz/VUFEj5quxhv0pEGt2cis RDoR+TcaGrCKp8P77rKAvgQiEjB3sXzolw55NW9iWSKIqO0oB9e59nSQ3H9m nsmfiBw75bYPyL+DNzaEp93XiWhXbXP7e/93oKJzbTLMlohKDcd69nW/A1+P uUZuEyK6oXU/hr4nA5i7j3jv0yOi7f72VLngDLjEJTe5epCIRkUa1hO+ZcCX dlgxViCi/B+1vnkKmeAtz/qKfScROXu2PlCPzITEc9fvHOMloqym7eLyo5kQ mdpFEmMmIoeSip9LalnAo3tGIprCi7gW4w+KR2UBXnVbnMAfXtQ8oj47N5gF lxJDH8vX8yJbD/MVT833IPh9Isv1PS/KJ/FWNk69B0ejp/J+gbzIbCpcy0U/ ByyNXtQIK/KihAE/vdLNPHAl5kUrxfGgozus0wYt8sGrRO9Ayj0eNHP+ECsh Nx9EG0pC7D15UPqp7qpfW/nAwn0lRtueBwkJimj07SuAMlW8U4sRD/LinBbQ tS4Aar+MmhDwoGaFc42/QwrAxRr/7psyDxI1aPG5XlAAHmx9z6t28aAb19Rl cf0FMKVFiJ3i4UGN4em/4tgLwUfAl2i8xY3o4gtsxRqFoJWrY51F4kauLffV a2wLgTqD/107zI3KeZ58vBtVCHcfB6TyfOdGgmyXn0+WFgKjU17GN3AjK1/e xe7xQugoV7zFVMyNao6hVSJ3EbR90tdne8eNsCijwB+aRZCw+YpH9jk3cr6/ y1rTsQg2VdRXuyK40YeUaOxbTBFoGn3LZQngRlJeNTyE8iL4U6o+XXaDGzmO XHdZnWDYs80FDlziRmSihIgfazFk7n+2EWrFjbgkDL5K6hTDw/SAeJvj3OgS VPqXXSsGudjeDWsNblRqK690+lkxHCgdpwYrcSMBy1W2oppiWNX4/shXghtx OBwWGZksBoPV20EvBLlR1l9BgUOiJWC5mr92io0bsfX/Jb3SK4GCP5O7Mta5 0Dnrt/nU+RJQpo4lb7ZyIUrfWY4U0VIoCH25sreOCz2wJTiZ65XCcCyMB5Vy oWKHG6JlcaWw6ZTk5ZDMhQwmpHyvVJeCUhY7OyGeCw1f/f1t+0Qp1A9/olRH cqFbsxEKrTxlMLecoRYTzIV43LVD/Q+VgSiZ8O32LS6UTqUOKV0qg3Xvjvpg Ny4UVadczPSYsZ/39liGPRf6sWT1LKawDHwGKHu/WXMhl9ucVNRbBv1iUnG7 TLgQ00aNwQK+HDyIyVnBx7lQwn9e6amK5fAzp41tS4sLKePkcBZny4GDYzgg UpULeVLKAuh+5SBfK7Scp8CFChLyn9ZllAON/wrVT4ILLYQh4rWOcgi4+KGq RZgLRXD8cxFdKQe/RuuUbB4uJBGd0fRVvAIsBVNuZrFyIYeAw7o+xyvgieTt Tnk6J/r2vvMx540K8OKtu3f2HydypG3V4JMqwCYzzT95hhN1KiTwvGysgGOS PnZLI5xIQHRPpO5sBXSusOxp6OFEllgV+yxfJbjHcX9M/s6J4oqKduXpVMKf +z2DRp85UfdbvURLp0rIc/ItNqzjRM30Qo3liEpwmXd5+LWCE7FkvDepLKuE 31RXwaJ8TnQgh49tB6EK1Dge29u84URflJsutatUAX+fb/bx55zoUuHtD4HW VeDMe0PsZAwnii4b8hh5XwULMhU1XkGcaKout++d4QfwC1guCr/EiV7/OlW4 /+lHUOgwvBQoy4k4t4JtTuyqBX0Nlr2ilRwo+2FP+d5jtRBCnHwiU8yB+Irf sxE9aqGCOBJgmMOBCnXwl5ef1cKHkV3hru84kE5Wt0NfdS2YzMRdPJnMgSqz 4kvLleugv2pDUDCcA5HM5z6e7qiDeGsnkps1B7LIfP7Vm7se2ETrAl3wHEjW XW/NWaIeMsvwZgF0DFnjcyTOqdeDbOtg77cVDMl/tjI6faoelMwCCygLGFqN Zg7QsakHrhZX4+1kDO2Vck3d51UPKXUs+PtTGKJNCn+XCq0HinbBifIxDOm+ wpsJvaiHry1i4YWDGIowI3Wx59bDmtxnv6IeDI3Kn8/dqKmHT70OzBq/MLSt uv7n3M964Nx5+WLLNwyN33PHD0/Wg+7iQLbYVwyl7k74/Z1WD9pW2aSVJgzN 9N+zaiQ2QMVDlhzhTxhSeeL2p0ymAQxqOJbhI4ZunjhnnXW4AbInJQVvlGNI bS54b6JhA2x5n910KsIQS9HeC48uNQDufr3/QC6GDK5s77/r0wC0wy6tO7Mw FLuD+aJ3eANwvgwRdkzDUPd30oBTUgMwzeqbFbzBUMbzF5zW+Q0Q5hN+WDsR Q45aDUMGjQ3wR+LEufPxGJp/lzCyb64BhMP/nheNxtBhm/uXpXCN8GDK3jUk HEOBfO5jgoKNENcnwbl4H0OcAXrja0cawU5kH/ewH4ZkTclTDZGNUCvSd5B+ FUOJGLOeWXIj5DRpcN5wxBAxNzmSo7wRpi4Req7bYWidYK5sOtoImQv9lEUL DFHVc4L+rTRC/+U742DKwNd76nMOTxOklYsctzqDod4ntlJHpJsAZ/tYe/YE hjrryr0HDzeBbM6Fg6f0MNREJjYFGzUBy7yQZo4OhqrYF1mMnZvgRSmsJGtg qMCg4crnO00g/gSnG3IQQzLkSwV3Yxn65S/0alUw9PKdLwdvehPUUixFvZUY +fzZcaGoqgk6/a0NF3ZjKBQvn2vR2QTo3aDOTWkMraU3LXFPNoFEN6WyZReG btj2GidtNAE71+iXGFEG/ijVt8DXDI/vnAyS3oah81VRC6NyzXAT/zS0mg9D xlPjeg+0miHzbTO3DTeGjm2DZ3vMmmFmWOTbJgFDmscSJtquNAMJN6+ZycLA T8tBFwKaAZvlUovCYUgq8sct7WfNcNAmx+LlBgGJdKT2lmU2w9AbhfDaFQLi odEUz9c0AxFMs/wXCYhFwfI/+g+GP+4TMVoUAlqzyu9Inm6GuuQX6UyzBEQO JUgc22oGPkfpu20TBOSos9OvS6AFeLV7jTtHCeic1VblG8UWCN+0K9YYJKAO XkFBZdQCih2eZ473EtCtDg1I+PcFVGezbdsvMs5XLh3/QmiFiHcvgpzOE1Ba tErUxo5WUJlYiMNZEdD3M7t7bPVbYfpR7n0wISDFr4LesvGt8FAg4c+QLgEN tVDeFR36CieMpV+kyxPQiU/pPO1+beCU77IkucyOhEv4BpmYvoH882P4yefs qGxUr+2bVhd45TmkVI6xoXqXV2LWcz8h3P3at0un2NCSnDZvrls32DUnZ/9s ZkX4tWyimGwvXOP7m4LXY0XqW5fKzPP6oTnYsLKpnQW1hah1NCsMwZPt+sId F1mQeOzsWhZ5GHgORr5RHWdGsytDg79URmFYnS3ptDczSpv50MrzaAzQ3+6j RYt4xLMzg/L371+46xzwSuoGHkVdK3VOlpkAPa+AXs9pJrSMsv9eDZqEX7FI nf8kE/qYNpt4K2QSajUprI/0mdA9gpL5g4hJkFQR9SXoMSGezpxPqU8nIXtL bM+aNhOSs8t7PZgxCQKKTllfVJmQ5X+F5852TkK6UTAmK86ESivL20ByCiZn /U+W/MMhnwONJdsapkB1XPBK4kscclaTSH78eQqQeW3R9ec4dE49IJKrYwpO h/NHasTh0BFNtcv4nil4/Xm+oz0ah/C6abxk8hQMeH/c+ecuDsWYhrg0iU6D 4Hvy3RvOOPTe45iEj9c03Lmos3R/Hw4leSVzUm5Nw/Q+k84NRRyK9qEtX/tv Gpa8+sI95HHI43ZJu134NDg6BN42kcShQ3dl/E+/ngY3RE2Y5sehxhiW31Kt 06Blf7JoaWYLhvIaI79LzkBZbfTalxtb0ElimTuwewa2WfgeXb+yBXVK+mfi lGZgeL9nmtSlLUh+38RldWgG1Pdn+14w2YLL75qj+8/MwLnlOuPrKlsw8epz zOStGVgc1w5eJG8CKartKb19Bt72Jetvc9qEwa9c/2x/zMA7ekWFtM0mdHAY nq37MwO+301T5Mw3IS+8XfD+2Aw8GPP15Dq6CR4hHc8IazPQwe8obLFjE/75 dz4XkJkFhywHYn0nHTZcfibu8ZsFufc9i/tV6HBW/eJj5aBZeFYc5HRNjg45 TBMPVENmQeVMuUrcDjrYJqx4aj+aBeU4A9MGAh0+NYmeNE2ZBVeSO2/IMA3C JOz/3W6dBXl38SiPaBoI/Cad+Sw6Bw1sHy6P9G2A69ubuu3ic0DR+8p6pHMD Gl23DnXJzAF/HGnsXuMG3GTmk+5XnoNHAyzB/Tkb0KOitkbRnYMPtD0XCwM2 4E2kX7rw9TmIa67OzN++AYpH2TedP8xBcgKuQwOtQ8H77N1/6uagzXLvi1yV dVATNDE91TwHB3cMReAl10FrMiFN8fscbOoaCRkxrYNRtMJp6sQcvDm4d9K2 bg28egwT7vCTIPdr9eLKoTVY1l34NCNMAkMXiw49uTXwz4mfvbCTBCEKibFX BdcgJGhIR0eeBGFmk1aa1FWIl/Ucx+uQoN6ZnYWUvgqVnnEHoq6RIKksSGmR sAo6fYdt6O4kGHtvYRzwbwXqjw2EuvuQALcj5VvX0Aq0Csv1mASR4E7RQde/ pSvQX10eJPSMBE/z6A/u2q0AjqOv7XUdQ9+84s/HjGUI8Q5a5m0mgVKO2/2M mGXABqQlgr+SoJ/4dc7o1jLwF7h6O/wmwYWG1tEO/WWQsdwUkZ8jQexT4X63 oSU4kSJ5pVCYDFKb/PMDzEuglsAj17yDId9oSOye+gcSjzb+9kqSIcks7GRw +z9Yv/PrMosSGQpu93sOPvsHuaYRtlaIDFdEFSyeSP0DAaZ5C/pVMggivKCx wiLgVgYE+d3JMJw2YnIbW4S5udYfct5k0O+Vz1GdWoDmP2mmJv+RIeDg7zCr tAW4U3DOMPUxGeqnh0WIwgswZFd37FQVGby6AvkWx6jQZpHLbFtLBtOhlQLs AxUqTr+s92okQ/HvQ5cfPKbCk0M+KKmDDAdIUilpWlTQ55XXooySwbN2qkJu GwUOsAptME+RoYrinbRYSYZdG0xV20lkoNaRmsxtyLA60XdId4XMqLeRbflJ JMiuiVF9xkkBifuK8v845iChJGAhi0gBNbuR14GMug95f62wRogCHWt21jaH Z8E2Xm/flDgFeOrNH1BtZ4DPfUXhiBoFqhXtjZ7FT8GtnXZSIzYU0Myt37GV +Rcum6hY9ttTQMG0dvCjzF8wus/0sNuZAv1PsuM8Xo+B3HTqfLsHBYjpmso5 kaPws2SqriqEAndk0jKQ4TDjXXrZxeVQwObgDt/rA79hR5De05hCCuzXu8MW EfcL2IsEWx6WUUB1vfaazMmfMChcrhxcR4Ht38fX7dO/Q9TYBt3tJwU8V0/a a9/5DLe3te+/1kOBi3O9y24VTeBw6rWT4yAFyl7dknuwWA+a+aj9/BQFolci BitqqkBulI/JkkQB/YX2YC2pUuATGlMzXaDA0OlfZw4x5wPtRMnVMysM+xRy 1p8PqTDlF5p0gkYBUZLLJ5mRWJixVLz6FkeFkp7OEfzYTbhEFcCLM1MhzLX7 5X3TJPgdQUtMYqVCnNsm0cIrC05Ljx8UJVDB8synRo8LRVD3sf3bcw4q6LoX ioitl4O6Zdk1IW4qOIdXu22LqwapiLBXRH4qhN52GZw93widZ9tc6bJUmLD3 uddP/QnHySVs/vJU6Hr/xSfwyG/4GPYqeVWBCtcvb5d/dK8bMqrcfy7uowJl /BbzA9ZeCJTg05rRoMJlMSHTwP5BUJqz4Ow2pELn5kBiwegYVJw9U/vQhApq Lo1DCt5/Qa9a11vHnArq5wJeHWUah/OP9vWln6PCLE6p02bbBESoYNk+DlQ4 G0U9ul12CgRfbNnKO1MhSZEZ6aROQTLTMn//VSqIUV9ng/g0VHSN+um5U2G5 oEhwgzgDEz4fDfjvUKEsQU70Sv8seA0UbTb5U4GmF1N3x2AO6PpZRXcCqaCZ eei/srI5EBSOFx25T4W+Sme3XxEk0Ku8MZP/iAqyReS+UjEKJNOlHhqmUWHP 7euVq+tUUHIW0WHKoIJb+c5PAbLzUN7Bu1CSRYUlS5m9Nsbz0PGGZr0jnwrT ip/7j7ydB/rR33tmK6mwgpf3GNZegPMPIr6Ef6PCeAnzYNjFRZggB/2n1UWF i628vEZBi+BpdXM/9Sfj3T5yH01OXoRweYcXVr1UEIkRVlkeWYSyVq1rcuMM +xZm5WQ7Rn/hpRIaGbgSuG1FPp9cgq7qh2Gn6FS4deYLKfzyEjxxlWX7tkWF fO97gUwBS8Dfep65l2UeAll+8IvnMeTQJjqFZx4ykC9hH+8yEDdeLohJz4Of T99iStMydGYd9HzLiLPKsq3TrW8ZYs91UuTk52FMx/QQfn4ZeMtYSfv3zsPp G7dQpNgK8Hh6TJ44NA/qewkP1N1XgGtSv9/79DzwGf3+nsaxCm3Phs+vGc6D YeZu1es7VyHqmH9PoMk8MJ+Oj2RXWQXOlILfERbzsNM5oKjx7CpwXBT7/sZu HgqvEAQvJ60C4Qe16av3PJSw+9EyZdaApTYxXzppHlQeJ37v27EOvVrHTg69 ngdTFwOXZKV1yK+aG37JuIcCvsRmfa11OF+mzc+fwfA/8jJS7cI6FOYO+eCK 5sHDd0w07/k62CZJaw60MPyTZf67xrkBFXeyG+MX5+HOfqcL14Y34NGK+UWz 5Xk4xTR3iz63AQ6+tCXutXk4rqYr/N/aBiN+w92hm/MwaLezD/hp4HSVEuGN LUAIMt3dq0sDfitVYxPxBVDYNJaPS6bBdbUPPdjpBbDjapy5b0yHus5fORWG CyBVMiv0yZoOQm7UoCsmC6BRuiuC6kCH2nRZuSaLBbhpwd4jd5sOAsKxXncv LcDqmZ20f2/o8GHNkXPFdwF0RnLeqZHowFnLo/03eQGEc7wLhII2IfvU5eSa 5QVoCzb/8Sd0C9SUJHVgjfHvEIKimKK3oIZnuK92YwFiRBvKpOMY89uPi8Kf cIsQfJDw9GzKFvy7aP2ogWMR1hF/17WaLdDxMgn4vGsRAkcOa7gtMfRf6pzr Or4IflPac08Z8+XSrChxIn4RtJqufvn6GIfiXk22JL1YhJiP2+dXGPOrqnFJ kHnSIojKkHIlE3DIs8iQUvd2EWJviq25vcYh0u27HYk5i8AT12868x6Hxlkn okzrFyFV0K3dtwGHfokXYtWkRThQ57C6uIBDpeYnmOOO/QORH2n7zM4woaCT oW9KJv5Bfw/1s+kYE5IcMPiTGroEupkNT1uu4pHmoZA4kQPL4PVY+lUkGY9s dn1bY/qxDBVhb5IjHJnRUmv0qEfwCjhL9VKlhplRAoutj5nMKjwi7VOhmrIg gcHSFHzjKhyRRU0S9SyI9b/gsxqea2C2L856WYcV4bJs80f518GkxegnSyUr 8nqZH81fvw7UcyVfV46zoWrFcAKf+wZ03et/JT7ChvgMvJTu8dAgS0JLtSCE HSV/4uXU5KPB2nTw3ZwwdqSikTs9L0CDkqPjUe8fsiMj+al39iI0kOUtic+N ZUcP2Wwlj8rQ4IWNcm17EjtiaTi1DadJgz+ipb53StnR8hFJXKATDXi9MfuX U+wotLhm8OBVGqh2a2Kjs+xIUNGmmuRCgzr6HyslCjtSFX3ud9GDBrW8nfgv S+zIY5VrScufBnHb+GSkmQloumR1eiOWBmzcU352uwiof2/njzsfaUAe/BIs xeCPb2b5/mOupYFWBptKFINfXs4yl4v+RIP9ElaOqwz+OS3TfTu5mQZNNwqP 9zkS0LLY4M6WThoYn29ZafQiID6OuSuC4zRg+dExqxJDQD9b9vK9nqQBKy6k p/0JASWE3qjaPUMDTFUh0y2egC7oFToUztHA/z+9EeJLAtrFtMh1hEIDBde4 qPJXBDRao1bWOE+DI9NWhfZvCSg94Kad0T8a/PIfsORNJ6CrmhWEP8s04AyN CKnLJKBTJ03Uj64x8tGg+lE/h4C6nMZ/c9JooBtm/MymgICKvP9j8d1k5NM9 OWK6mIBu7q/N3cTRQVklSDqrnIA0KDircGY6jN4S6Lr+gYBoObo4fjY6xHBE xR2oJaBUUWXZjwzeUMHa/UW5gYDuyzebyXLS4S/x9Pu2ZgI6PsFOy+Omw7sY TtrrVgLC0k6lHybSYYqYIuPbQUBt9pFG9fx0GDF0VzLuIiDzAZ63v4Tp0Nos t8HD4PuXfgodp0nSwffH2bXqaQKSeWJFCZWhQ37snrclJAKaNH6RwLubwXsy 9Pvy5gnI/euOWSklOhg//0zOWyMg/3rp2FPqdOjfPe/zF8OQzl0njR+H6eAu 3d9A48YQXidj1OYIHejMQ36i/BgKr1Q46IHo8Jvpzz17UQydueU6uKbLsA/V pz/chaGFv1bMafqM/NSqTlCkMNS1QFHhPkkHx2yxW2Q5DMUX7O+NN6ADNqT+ RU4RQwW2N4m1Zxj45KO/1iljSJtQ9D2E0Scp3Sa7nVUx1PAi2fSsGR1SMRkT qcMYSs04HFR9loE/XYKuroUhZyc/+RNWdChBZh7hCEMK0h+/dzL6qkBI7ejA MQyRhul+523o0JMYfu7wKQy1k59lNtjSgXaX2mhniKH/Ae7ZL4U= "]], LineBox[CompressedData[" 1:eJwVkns41fkWxvejkcvvsvdIkTA7SUc6kglDmrWUJNNMm5BrKBWOS5zIbVey QyaacikURpIxbk0XlT1qJORWSSa3zDHonClF06TC9zv7/LGe9c96n+d9389a uivCZY+SQCDYq5j/71rjr0NcbQlkP20YMLNgsOL2zoHRLwkMOQ/KMmwZDNcJ vZ/oSsA0WvfgaCKDk14/qyS7ExjdXHXLMJlBaUqRs7IXgdJrn53XyGQwVvdy Y44PAaViab9BLoMPW6LuOPoRaNLgHKoKGWzzla3pC1Dcz9kdGCljMEn/XX11 IIHe1UKV+bUM9t+vuxmwj4Djiyu5XTcYfFXU99AzROHPfLL8ZCOD6eJ111pC CTzrcpcVtzF47PpWI48IAt88az1n9pjByoyKaecoAppLJFnWQwy+sTJbNy+a wNr5U26B4wxOdNpVZh0kEBTie3rNawZLM69YBscTcFj2Q9b8DwwWGt679CGR QONq4ZZPlFicfpBysfIwgZAQydhxhkVJguMFv6MEbLfqZRgvZLHcSP17jWME Epscfh/VZ9FLmnEuNp3AuPaep2fMWZSvzM6yzyFgb3ZAYuPNomav26npMwT6 t+hbFu5hsT23ZUlnPgFBoyFW7WexeVXfCd/zBCrfSqR341lMnHDS+ryYgKr0 wnE+hcWYZJ+0uyUE8jeV7PD+jsUHpvopMRcJfFG8ulRSwOI/+oeTjcsJzNYn Pg4qY/HIse+TBisINDeIrPMus8gdVHEKqCJgEJQWayJnMT8oTGO8RtHPv36T 9TazqMEXnHf6ScFjw5zWgkcsXvnK+sLrqwRCB9LzkgZZXDW119S1TqHPLHGf HGexw1R57YebBPSlFhEFb1jUs22015MTeNNaWW08yyJfYQcbbyt4urpudFfn MGqeVUbqLwT+qF+67ydNDunbc25sE4GHPk9mtog5jM1v+21/s+I/lsQ5/NuE Q+2nQeML7xP42F9TP2bF4SlpbmR8u4J3+57lLhs5dFAJuwpdBE4o+xX9KOGw oTIfSh8ScFnOdLr5cGjl0tqm+pjAoTkdD+0gDl8OFHJdTxT5fCPJZDSHgUkd Z82fEqhNP1w2m8ThVJR5QF0/AZ2rspj/ZHJ4KPCsse2Qgmfk2PSTAg7V3cnU nWECZ8dmfNV+4PD2cM/alBFFnjLfvut1HBpatx1tGyVwQLdcNnCXw6aYoLSI 5wTCz8axX3ZzuF43d0HP/xT8t+s17R7msI2bHfB4ScA8okNn1wSH7jSgdOgV ActzYXe+neHw98mW0F1TBI6yTlffqfHok/vXdPOfBGQ58YJGLR5F4g6bE+8I eIgb/MgKHo/f+3Bv8r2in1cXJywseVxU55cZPUNAe2r6rusmHvc16RblzRHo CBsx2ufCo1m+yWeHBRQkqt4FGwJ5lH976vm8eRTiN2hbqh/gcYt0uiZNmUKj f6xcVcZjb7hvLKdKITAlMwqyeUx//3l9tzqF8redOvvLeHztbKymxVEI7eou i7vG43cnW3i5kMKJG35rnVp4VLP4K0+sQaFba0V31a88NjS0D45pUnCM8Trz /A8eDbR/WblSi4J9QY95/0ceUyOvx4YvpiBmHS59wghRsvne++26FLy2Lb7C iYXY+vJN8g19xb14zPH6GiEu/liTPSimoKsdY1lrJ8SRBw2ajcso6NsdL6vb IURmE/PjxeUU2k4bd3ruFaL/6tJfQ40psAPLhoUyIaaVToZJTCgIZMPbVmQJ cWGuu+WTf1LwCfbsKb4kxJJUOfE0o6BkM3khUi5E0ziDlmfmFPxXekeXPBJi fUjayd0WFGarV3RZPxeiuEk6dMmKwqE72lWCGYW/pZOegzYU3AVKlTWMCM8v 213ssp5Catqtmz2LRPjKTHw5Bii02izcWS8WYbxBStyMHYW8F2o5slUiHE5I aAF7Cj3+OeFeViLMVnZRV96s0AcX3R60F2HVf/UK+K0U1t1PaV+wU4Rd5duC o76hsGSn2lxwiAgDXSaWVztTMPnqyK2UBBGiitsLqSuFfv+XHk3pItSVy2u/ 3qHg90h3/fZ8Eb7fbxij50Wh19toxLlChJ8aFH7xqS+FReL13kfqRVjd/6fg Zz8Kwggjr6h2EZ4uXNA9G0AhoTK1Yl2fCP8GF377cA== "]], LineBox[CompressedData[" 1:eJwBYQGe/iFib1JlAgAAABUAAAACAAAAJB2lTiWN/z8hq7F6PicSQEXd1hyJ j/8/1xLtTvw+EkAgkj7iWJL/P8v3lUvXWxJAgE6CreCU/z9tuz1+3XYSQBb4 H2ocmP8/l5LKaciaEkC0sHUyyJr/P7/8JN90uRJAUmnL+nOd/z/M3khqrNkS QJDRi/NBoP8/mA1yMaP8EkCEy75/W6P/PzQXcXFLJRNAIoQUSAem/z9ZFaHe 4UkTQP44fA3XqP8/T47PU/ZxE0AX6vXPyqv/P3ED0d2anhNAtKJLmHau/z+p 03jLwsgTQJBXs11Gsf8/6SCjwnT3E0BsDBsjFrT/PzR1mXKBKBRASMGC6OW2 /z8RKZkWdlwUQP8qUnOFvP8/dkfOtVLNFECc46c7Mb//P8wAAck1CBVAtpQh /iTC/z9FauuonU0VQJJJicP0xP8/i63vl62UFUDyBc2OfMf/P0CXsnUW2BVA vmam6w== "]], LineBox[{{1.8752313690556592`, 3.324454307709893}, { 1.8758574006209332`, 3.3275137819792517`}, {1.8765163812159587`, 3.33075927893219}, {1.877175361810984, 3.334027984389449}, { 1.8778343424060093`, 3.3373171655010787`}, {1.8784933230010348`, 3.3406293918005194`}, {1.8798112841910855`, 3.3473196621072323`}, { 1.8804702647861107`, 3.3507042848463935`}, {1.8811292453811361`, 3.3541150052986515`}, {1.8824472065711868`, 3.360999930030049}, { 1.883106187166212, 3.3644820682007714`}, {1.8837651677612375`, 3.367990216951321}, {1.8850831289512882`, 3.3750856047349393`}, { 1.8857091605165621`, 3.378491906035958}, {1.8864010901413388`, 3.3822914407949645`}, {1.8870600707363643`, 3.3859335346116257`}, { 1.8876861023016382`, 3.3894194177109553`}}], LineBox[{{1.9636536376298386`, 4.2695045811084285`}, { 1.9643057434934106`, 4.287254382593547}, {1.9649921707182232`, 4.306472143581553}, {1.965678597943036, 4.326223659262931}, { 1.9663307038066082`, 4.345618268052938}, {1.9670514523926617`, 4.367521961911652}, {1.9677378796174745`, 4.389083669987059}, { 1.9684586282035277`, 4.41254510762932}, {1.9691107340670997`, 4.434337815207852}, {1.969762839930672, 4.4568615794185416`}}], LineBox[{{1.988443956853951, 5.74486881546689}, {1.9890857663091506`, 5.840923083961666}, {1.9897035508114822`, 5.941914727762441}, { 1.990389978036295, 6.065415054419916}, {1.9910764052611079`, 6.204030344898224}, {1.9917628324859205`, 6.3572726721338855`}, { 1.9923806169882519`, 6.516490465587311}, {1.9931356869355459`, 6.730062115328113}, {1.9937534714378775`, 6.936502947229884}, { 1.9945085413851715`, 7.238123177524316}, {1.9951949686099844`, 7.5617734506625265`}, {1.9958127531123158`, 7.933531765856147}}], LineBox[{{0.002172844823760044, 10.}, {0.002422951164257786, 9.61447829861332}, {0.0030976856915297816`, 8.775478560247642}, { 0.003680410965082868, 8.274800873271605}, {0.004263136238635955, 7.8856910463285645`}, {0.004842794537065078, 7.542344545994966}}], LineBox[{{1.9995191414543783`, 10.}, {1.9999999591836735`, 0.018395679504112472`}}]}, Annotation[#, "Charting`Private`Tag$26110#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzX881HccwHFx6+fQZOvz+Ra5dX7s5leXulh6v6cVoUepxypN2DmimbLI ijXkoWPz6CdqrJrcdXec+/E9Sjwwk3lcIr+KWKsLu2oq0g8bWvvj9Xj9+eSK 9m6JNjczM/v0bf8/crBqqcuNi7BP/YPAoZ3BjNmscw4tBZH3tsVHGxjk+5+Q 6PaVQoBT0dJADYPjQ2MnefWlEPyCGzKnhMFQseFCrbMUwjpU8QePMcizcC1z PyCFpO/jJP0ZDHJ1nWzeZSmMBz6I6TnAYHK6KT6DJ4ObQ4lNdWIG7eubbyhT ZaDfUR8t28bgbVXMkW/bZNDt7svJ3MDgxoE3Q3rBJYh8yW997s0gSf3ymVPG JVg8PfF4xI3BjrgZsvGuS5C5y6ZQzmVwR0DYrp7lcohVsKPqBQzaCCdtLmbL weDhOdkzi8GryXf2t/4hB4HJ6dgv/1K8wstI+3iJAgoyH7fLxij2GUOEgrMK qHI5L7YzUqxcllwQ8EAB08MR3UG9FMP3bX2V6KMEkfFu7VQrxYURz8shTwl+ nyQYYhopqkesq5tMSnBxDHk0WkXx0I+Jv60UloG91XFzfxXF9esT1gSfLIM2 Tu9l/xKKZyZM2cVjZRArjLPvLKC4xSRZvWddOYj9ugROeRTdheVF6cfKoZh1 NMmzKJZGr5uufUt2Kxyctx6keFzM16V4q4CvTBGcT6T4wjijwbpEBU11sQ6L Yiie495z8J5QwWp/r/u/hr31I+syRJsrYLXENvfEVorLIy6usCuoAJ/CpwsD gylmvcq0NDysANtlhp0Vaykuqe35Jz9cDVbMcMSgkOKjncJ3ZqvUcOvVuYn3 PCkaWueyxFwD7k+CN5x2pvi+LfXu99DAI4e77FV7it/Me7jAL1QD+tcpVn0f UGzm72i6laWBzhwXuxorikzg70lfaTTQYpGeeH4mxb1xKx3NBjRw6ylnpHKa YJNE2nN6lhaSLLNPDb0kSOS22R8t18JPRee8+E8JNgyPDW/J1YLscR+Zd4+g 7UxR4V+VWrhiwcuT9hKMc+zwT7uvhZsthne3dxCs+wxfz7fUQdqifnOugaCN WC2XrtLB/BQuO9VIMOaIfaiPWAeeRqHydQ1Bxdh1Pf+0Dp6NGBIi9QTnN05W R9XoIEt7/cyKCoIHTrjVFxt1cKhdtYmRE3Svin5z14sFH8l+t9wighYBDy9s QhaKObNzOs8SjITq1Ko4Fq4Q6yjpKYKV4S6uQfksfBh7eNQjj+Dcw4UDfzaw sNlSt7Ejm+Dn16SikicsRLZdG/RNJ6irTfadQ/TQGP+3IOQQwZkDgyM/r9VD wJqgIY8kglFd+hbO13qQtXsZdicQlPmJeC+K9bBqyve7rt0EOT6CN1806+Hw 9tvJriKCe+ZEcfJH9OAgXtl5J4zgf1jt2PU= "]], LineBox[CompressedData[" 1:eJwVWHc8lf8XR5TN5T7PLamQGW3RkHNQCSkzURlRaVGSSgmFKKOQJDuRSmmg ZO+9Z0Tf7HmvEcm9+t3fP8/zel6fz+d9xvuc8znnkT7lbHKai4ODw4L9+P/7 Es/6a51mebDb/NKBtFM0TJ/9NOV9Kw/4PUT079vQUOCf9wndtflw39rJ0sOE hpHnLKxVDuTD67vtLyyP0FC2RcWW4pQPoQPph3YdoqFmart9V24+7AlQyl9x gIbV4mmnCwbyYUvHwfPz2jQ8lahb0MZRADFbnFa0IQ1H+kbvl6wuAO17uXr5 GjT8mhqRkbWpAIxUg8z7d9GQw8Zb7bV2AXwRFm4dUqPhAerFrOijBSC1xoJg bKdhYOXRnSHnC2BftIHm4hYayqvctrxzj71uYr7XaCMNJVRVdruGFkD+tag4 aWUatneYC59JKYBrt+c1CUUaJsdyalhmF8B3GyOqhRwN3RzSzh2qLQDlqe3K cTI0XL5ycda5vwB4Hb3uGa+joWMMnN78pwAWzot/85GkYcHVt7CevxCqCiQV llbRcIXS0wJibSFcd/xns4VGw8M93lq82wqhuLtf4yyVhuFhF4v+7i8EnpRI zyQKDb8ftNCZsCyE+v8q2/qFaSjyI/98j3Mh7N6/RP9PgC3vk8r+Ju9CuL/1 veFlPhq+c6SVlTwphMgYv9ns5TScXcOlm5VaCI1mb434uGm4p3m8PDW3EJb9 R9w+wUnDNdkSR2LrCkHUFc5J/COxYm9RZfBAIfRd7d8swiRReOatvvdCIbgc f3D30gKJ5q+eVl8VKoJri7IKjXMkyjnpLJyRKoIMzzZT81kSXZ5yZx5SLYKf 8ZmtBVMkxmVFJOjrF0Gx28mhkUkSnT206/eeLAL95bsKbo2TGGAy0bQirQiu Nz42t/1FYi5T+/vzQ8VAbutyKqtj4xtPDhc/LAGdzb06dakkSobnGeyNKwGV 8dLIFykkiqbFP+TPKgGls/sz/yWR6Hc6YyCyugToygrWuYkkut95KnemrwQM 464+kY4nkaH21nN2vgSedHYzfsWQeIZe0HlXsBSecZyISnlOohXvi1VGsqXw qDT2LPmMxIaCrKs9O0vhUiJR1BvBxtvivfRngL2+fjQo1Ydtj/X3I9GLpaC+ 8lyh010Sz1dHthbyl8EvlQZ6jxeJnZsbR+YVyiD6UM5onweJR4YHdPw0ymA7 4bGx9haJsvH6AeJhZeA5NPJF4iqJdSJU6iYsh0erbzfKnyJxX4WiU45ZOfj5 ZazaZEvilwtlma4XykEsrPsIlzWJ756t413pXQ7nU6jK08dJXCtev1E2uhzW jm1vtrMkMfJ342vrt+XwOlxD8bsFiULPnGfI4nKILkhsyDQn8Z6xj+HLdrY8 TcQqUxJveP6IPTjB3n++bWWZMYmX0tQYY1wVENbnM1h0hMRTXSFaISsroF/T J6LIkMRjfCOh2zZVACNry79iAxJr3vp1je6rADvPwcl3eiRqn36+46ZlBYDc h4VaXRJ3hs36STpXwI4pIbPW/SRuLDTsyPepgCcWlpE9OiTK0JOV7KMq4PHr 2vBRLbb+Kd/uTb2rgFCO+i0UJFHQwLImtbQC/hhIFa3QJHE+WcCZwagApd6M jSq72fraSFXe4amE+dxDN6x2kviLK4+iLlkJGrqdLy3V2PpZX/7soVsJIqIc UUHbSCwKrOSRPlkJMxmk2estJGZly1iUuFTCRq94lYpNJL4dvvXqrH8lPOUI 3jOiQmIi2brAH1sJLS+Nq/iVSVxZP2L67GMl9L0zNT2gRGKgy/1o48pKSM8w nDJTIJFLOXqu9wd7/9u1U2FyJBr4VTtdm6mER7rblPPWk6hhuceuhq8KFGse fOmUJjEpaEvgomQVuDDDFPdIse0tksvasKUKnkaYH45ZS2LjIYVO6/1VkH/7 8rE2SRJ3e0tyBx+rglWFDml7VpO4JLBWvuhSFfB/ng64vood3yhuPOVVBV9T g/J7aSS2rFnkJ59UwWK5cosqyc4Hc/KJ5Zsq6LjK+m1NZfP5QKDAP68KjCV2 KlWLkTg54ncmu6kKZLae/rGeQqKvHpfQ+GAVOLmLhXiIkBiqMIbknyp4LLVa dqUwiR95FyyPiFQDx2iI4A5BEnvL6ckf1athjZzl8mleEt0ULhj2G1SD0bcN VNMVbPvuD84QttUQEHXU/TMPibsO/MCb/tWQUedte5uLnX8vjw29jq6GdP67 b//jYNvD0xLUnV4N/zbuDj/4j8Cwkqrv0FkNshY/30kwCdwge8D7ykQ1eMom yPr+JbDgXqHCC84aSHG9IDL1h8CjfRp1LUQNGDRz+FvPEzih/cV1+YYaWFrS nKz5TaBP4vbVOzVrIGZy7zqNWQIluN4XnjOpAd8XHFZp0wSm221wfH6mBt6u mTq+borAa+PKD+pv1cAOpwLbO3QCe6SkM5aCa+DCm0/DyycJdPWKPr7lRQ1M 0Scv3x4nkP8njetUVg2Qf+jSM6MEJkDYq7DqGthqfij+/AiBO+OEj5T21sCa 2dnkviEC65YCfs/N1ADc9vxwcpDAxVwvbSvJWqgrvCZs3kdg6Brm8MMttVA1 Hq7c/B+Bih7XQ3L31UKOWMAR458Emms4dUtdqgUOZdlrxj8IHH8+ctfEuxbe PotJbu4i8O6ig5LPE/b+MNvwo98JfJ993G0otxa2SNf/sWkn8IBEu+Sqplow 8XPNGmglsPumSbH+YC1EmR7ddqmFQJfO2nO3/9aC3vvOmdkmAtUd6h+mi9TB qGv/9QuNBMZHlmT2ytTBaafsSt4GAtX+wEmKeh0oWxstD68jsMbi2zIdgzoI tbvGI1VLoH2W2mtXmzpokTY7kFZNIO0zpYeTsx5ydhh47C4gUK7LeUcNUQ9p HZGcZXkEJjoMVJep1MPruCeqyrkEqhBfvz48Vg/aHyoFpLIJ1HazfUKk10NM eFgo+ZktP9oiOXxzA3A7GrSrviLQzjr55KueBni40/+9ymM2//qrnz0baQD7 yZWjxSEEJqs9ankw2wCfK03qjwez/SfsbnCJvxHctj9tD35IoPDipJ810QgC 2n8eKD0gcOuQfdERqUaoO7KmusSfQLPmDhYqN0JQLp+n3X0CdfXiHNvUG2HH pKFJpS+Bz94Uua7XaoQ/xuZN0T4E5jxVT6ceagTLBPegPfcI5LwsrTBv1wi1 oq75t7wIDJT6Tc0JaoTXQsKSy28RmPlLp6ZeowkqhR2SX59my4tJcubWbYId Lsn3rjgQOPcujzxk0gTCDkuRK+3Z/NzaZVdxtgn2xi3TCrAl8Iv45rmC0Cbo wBeBLscJ/LpPQurjcBMk6blLOhgT+P21xf7LM03wj3uftJwRgX9Fn5zftNQE XP66xYOHCdz9QyTjtXgzjGnd6r5wiMDsazz6LzSbwUVLVNJDl21PMuNqeHgz XK9+NPNtLzt+BDc9M4lrBpk5tWN+GgTeWXsQo143g/xxuyStPQRKdr7qq/vc DHar3pZL7iZwLwzyBuU3Q7N+WcPwTgLz2rtifEeboUTL68BaVXa+7V1VrPO7 Gah3T/wb30bg0oujw5wcLeC8LPdEzlYCNS83brtDtIDhw4LLJzYTmM9bXu6G LbC2TCw6cQOBP524J1QNWkBph3z0NSUCOVq1xGbMWyC0rer3QUUCMSHnhPOF FkiPL5WfkmPLO76GI+laC0ze0J1skSXQ65J6yphXC+gMWB9+vp5db3Z9nDob 0QLDX0f36Eqz8ePopHxCC1TKj/OtlWLjL9+o0f+mBYTNLp7/vZZAqYvn7RIz W+CzYtBizRoCtZpS/GwLWyBDKFnxpSSBp3YOvFlb0wJPSqWaPFaz8zVWprG7 rQUO3a6cPSrBjn9u27mo/1pAo7ogbcsqAldPRdl0jreAgVPoBJNG4KeRCxes 51qg+ot39R+SwCTH3d/sOVphj+lZnyGCwPAhXoFz/K3guqXqfBuVQN8z7VZO 1FbY+M26r1ScQLeBl6+vrm2FM7JfUjLECDzj4Pr3hmIrCJh+rXtJIdCiT1v/ zrZWyPfn04wQZdezYeGeZXtbYaXqn7ibIgTu+q93xP9AK+y+NPLwhjCB9wbf eAgbt0Jzq8zTE0JsfXtvB4RZtcIq9e1aJwQJFLQ26Ix0aIWimKTXhwUIZHWv Uop1aoXyzf4uWvwETh4fvvHiRivUHjwcqcpHYL2l78p3ga3Qb627uHoF2/8d po6fIlrh+p216qLL2fXaQubLl/hWkF6X+I6bh10vzfMtij+3gtAqDxE6F/s+ MF6I6OhuhbFzjiXlS1TsPniJWLaxDcIpQf4Bc1R01dKU9ldrgyej6VaPflMx 7wB/hpBWGww5Bup5zFIxbl+K2UrzNtDwf27uMk3FU/hf2EaPNugpYWnaTlJx WN1c7FhtG7jnd43qD1Lxt/xekbRL7RBvMGh2rI2Kmr+0yx/caIdutV+qB1qp 6Bdz0NPxXjvYylSdUW2hIkk1o69/1g5L0ce/UpqoqMZ5oT6qpB0Srx7ib6il 4o2uyBD/1R2webqsz6qUisyQWRGHyg44+/hdxcvPVORaeCO6Wu47vL+3Pet3 GPv8P9tM03fdMHHPya/nGBVrfFTryjb0Air9YtpJUXHdo7GF1Mmf8OqfjOuN PnEcm+/tad3yC2gntJK6U8UxafRblXBwH0SxUvvUz4mj8JoUen9/P7zq8gwd kRPHwHMZZ+JlByHx16n2jv/EcA7f9Dt6DoFUYtu0XYgY5iSNPb/uMwR3ZChM WrAY3uVVMfULGIKy0xv0awPFULjhbeGLsCF4xlBL3/FADOVt3sX2pAyB9OF+ b5aPGB71+HDMrGEIoHNa1tFdDDO+si9T6WFQ/CSnEu8ghq7bSj6TxcPQcHHq tq6aGJ5RlYp/XDEM350TlV6oiuExtdsPBeuGQbq02Ze1TQz37FY9xdU5DGH8 VtrvNoshl3aSyOTkMKgZ0r3/KYphiLHP+VKJEdiwUvCz9WoxfH15n5Srywj4 bPRctbhEwWiXeAH69RHY+329vAKLgkGuzLlzHiOQLVrtZbxIwcs3Ptfa+I+A 6vY4SsI8BdW9ZG8ZxI5AZY7vLmUGBUtCuNtkqkZgUssFhn9SsPddycNG6VGQ W7IIHSqgYMME9/g2hVE4tcFEqTePggUq+w+Fq4zC5Oeppy05FIx/XSpooT4K Mh6yw1++UPBUcllQ96FRyM2bLTmTTsHBmIqQoeuj8E5zMdckjoITgTVhrNpR CLjrcFD7FgV7qgVnrZtHYY3nydaRGxSs4zc0K+gYBcc9N9yC3Sj4zr+Weq9v FBS9StvqrrDt8al7wrswCvW8sTuUHSk4e6vhqbjsGPx3/ckeAzMKLp5vea7k Pgbap/crDitR0Ezt5ONNnmMgtUNT3FiBgm85B/22+4xBy3Xn85myFLSOnL+y N3gMODIXd7ito2BhqcRB48Qx+GfSKFtJpeB9KbvZG1VjIN/xYObjkiiKt00c qpAYB6MDN49p1YvixQQ37dp14+ApSDhK14hiycV/6k2y48BwyTvMrBBFt2WU 9d2bxkGk08AmsUgUO7eoLtC1x2H15rPv0zJEMe6h+0vahXFYPPBY/EOUKCpr rVg6820c1jVEzLXbiGL66zcKHQXjgDUH4p8eF0VVqpGxXtk4/GoZmTO0EEWN ocgk5cZxEJQjKbGHRfFw0AYDxuA4UBXvPC7XEGX3R4aRN8Um4MiRiMOraKI4 pz1dOEqbAN9js/mbxUTx1tuIseNrJuCBujDXbiFR9PHs1dRUnAB6u8BKpWWi GCF3ZYBLcwIEDPI2tnWL4Ncr4dsCz03A5py+rgc+IqjZtfMEy2kCbvJEpM/d EMGifT98nVwn4G1me4LWJRGsosl3GnlOQECP+EYXcxHszs3yJJ5MQDrva8oG WRHk4O+qiS2YAK8VnsU62cLoc9VzTqRsArClKmH/W2Hk+7Feyrt6Aiq11HFV rDCKpV+8at82AWqm589t9RZG2aNLqxTHJyCjnFOMZ78w6iZKn/1Am4Sza99b iRcJoWqksHyZ5CQ87L7tXvJBCKWCF/u/S09CT/ul7l0JQvj3ZuspbpVJiCgQ 1b3gKYRpxgHWFjgJpysfpGTvFMIoXbc1F/dPglKfuJStvBD67bXv9tKfhMmQ br4ccSG0Vdpr9dpsElj6hxaDJwRRnHPKnOU4CV7nZDbbxwgix/wPqpjTJKzh lAm44y+I4+NVzfJXJ0FLnvVs71VBLOtIMjbymATbXr6w57qCeDP9mOGLx5Ps evwz3WtMAHttCvbpZU/CfmEvqzxJAawxT1tmnT8JflLzR105BPCLQVSRS8kk bN81sze4jx9D1V0xum4ScnvjpdpS+HG/iKIG/dckNE5sIpYU+HEbD7G4bHgS srz9KWuW8+PaRc7slRNs+5K4TM/28eGfwS517flJKOf5vtryOR++yQvZ/kSA DryRtxMe/+PFyM+3p1NF6TBlYf1xopUXfV6f+5BH0CElmXZt9RtetI7Q2Ty8 jg4THenW6ca8aBC4ZZIpSwfhmmWr5mV4cefdNWmUDXSo8gj0qJtegRSn+Q17 VOngPiLF9V/QClyy7x85sosOnG0yNlPHVuCoZeMrB006vJQyi9KQWYEl+9/I Bx+kw9CH6wKr3y/H62tsZP47QQede11E3DsePGW05Wi3HR081f5wJZzjwcP3 OB+0n6FDVqFuxLA0D8qPvJiqvUyHnJxp1aAAbhSTvCZXeY0OGXZvR7x3ciPr 8AHLEnc6DO41ShvtW4Ytn4cLsn3o4Phsb6zw5mVYMPR1NiOADgOD9zh21HHh G4mHih+C6SAYLe+V5MiFd702PkqJZMs/u2G6N4gTnT4tFSfG0KGyz/lfC40T LQfr52MS6XDt4Mp39s85cMshF5vwt3QojtpDPSzxDyQ9dcJCPtChLqXezWSW BSs+UssfZNLhaKre2vwcJkz3D/z1/UaHUO/xvzIui9BDy9rkXUCHP2ZE1rzY X6jS9z91u5QODR5LmSkxfyDDwzLiehUdfiMvRIrOQ2DfIutSCx2evTmksCZ1 Bm6QtVvPddKhO4N7YmXNFNjrxZ526KGD9oO8/J9JdNj9HmuthumQ+CzQ+oL4 EMj/onAenWD7X6Po73v3X0Ah+lSNp+kQH6xQ88mxC5i6nx0PzdOBo3aZrG5Y Iwy7+0brMumgaHP626dteTB6VNkxgYMBv25FVEV4JIEtQ5xr3TIGdOrPnDmo VwltAczn0TwMOKXUP/34SRsYrB/YIcHLgNRNEjJnZX9CQU5t/VN+BjgX67Hb 2n5QO5p5jhBiQOtNx9QXpiMgE3A/RlSMAfcs9nwXamNApMxl9WAqA9YKvbio UDgNwjnHGgVoDJC14RMYC5kFH3OtCwGrGCBy96moqc4cLEwq8ayQZIDDsOlc evc8OPmLxfmsZYBWdIXR/ZML0C+9uJNLmgG3Hr36fan8LzSY1VxkyTFAKOrY +ooTLDgw+Xn5LUUGJDWJJBx4uAQ592Pi/2xg49e2C/e++gcp2U4tM5sZYMf3 4suuLg6UNLNwurKNAT2PxF1PmnFi6ATw0lUZsFtMMtCqnBPvSFE0RncxoPQ0 X9fbaC6c/brQelaDAY0jU8r1/7jwvOkv5wFNBnBscs45Y70Mzf0+vfipw4Bx sxV/t4two8q4uUC7IQNEQzUdQw/w4BezQ/kPjBhgYbr8zrdQHtTJ1b6qacqA ZOMYt5ouHrQK3tz18hgD+iM/qDqdXo6Dc3IhlscZ8CxE48Ox5OXoYiOpI2TN gKpH9ka9/csxYAvfG1d7BgSqn1M5cnwFUp/9s1Y8w4Clc19Sb4StwHjOObFu RwZM3WgyzK9cgV+afrnrOLF5eSIZL7CVFwddc/TFbjIg3/5zhtgEL7r8+LhU eosB99Nk5FNW8iFrf+rHm3cYkJXSrL+kzYdUWoTEf/cYYC0c6rA5nA91vjqP vg9mgMBw1/PlG/ixTvpMrP1jNv4DmJU25EerBydMaOEMGK1yv2nrzI8ux/Wy 7zxj6198rOX8B36MZ8k8MExiwJzx+ZxwFQFUObNKkzOFAfWLmx3T9AQwq05k +nMqAwSr352VOyOAdXFMS8n3DJDi7ffWjxFAllab0thXBrgfcI5d5BZE/9c1 P2JzGOBzWuPVizWCSBUvfmySz4ArPWlRTTsEUaX//cLXEgb40z/91+IgiFZ+ AZX+9QwIHdVbX58riIOTnh4aTQx4NanCFG8WxCsWblsZLQw4n+o59XeIja9o /8ziO9vfPUmq2aJCmFmlcU5+gAEF+V1y+62FUFyEwVvylwFygz/eXh8Twqbc B/f1WOzzF7/5/fgrhKEX5ZbX/2MAdfhAqTA/+z6tslr2nXsK3pVuM+xQYH/7 lrLowlPwmu/3ZQU7YRRdjJpevX4Kutzt1Z5VC2ND6o4rCXJT0P/v8i/VDmF8 dKyBLq84BbI3UiPe9AujSCbPxNaNU6DqeI2ykSWMwlcuD+mqT0EY9RJnuIoI Cg7t775qMAXBkRK8Xr4iWPPkp9WC4RSsqHgZtPqRCAbuu9V5x2gKxCX7J59H iaBAYnpbgPkUDHMXbDd8L4L8J1c3xtlMQSoqpt5pF0HeZkZp9dUpKNpu+CGX Iorc+c/fr49mn9fqZG04KorfNfYd7I2dgoenX/+8ZSWK77PHf0YlTMHXm9XG xdaiaJW5V0wsZQrKLn5wUzsrih/Sel05Pk5Berht8YfromgdvX73j/Ip2BEx 9GXVU1H8cvNNScTMFJSO77K50SCKwfOmJ03mpmDnl+xb7c2iaH+N+VtoYQp6 DetebWkXZdtvqOC7NAX6dmt8Gn+I4mlHesBVvmmwvuplUT8qimIW248YrZuG fTbqa6qXUfCC6rdOPoNp8H71xHHrNna/3dD69ovhNBhfSbAdVKUgcYnhedZo GpJURW49Vadg/ks5+VLzaWDEZGhPalBQnPbIxct2GlaPeOx31qXgtwUHgflr 0xCp39FZfpyCAvnCe/vjp6G7tVRY7C4FbY8riYa9mIY1Um4ZJ30omDGv06eV PA2Jpd1Pk/0oaLPlZkDcm2lQv2emvOUhBT8l9LVaZU5DHzX44PpwCh73+eLU WD0NxRTaVPBLCr7ROxWfNzcNeiOmj5PKKKiqIq0JC9NQGpK3wbuCgnnCP7vy F6ch+4TE3+NV7Pmi+SStkGMGNsg/1hOsY/fzJy2Di/lnQHLpJeVYKwU1XYxu V6ydgZkgqkVcH3t/lOaxpgMzsHU66sSyfxT8PSYhOhgxA0pB60Rzt4pheMxQ efSzGZD56Jxss10Mtx/57GkaPQMpt/IYHDvE8MpHQ3pBwgwk8Fu8gZ1iOHHD q+752xngfSLGStMUwwGewUDjohlYUJaTNTIQw9Z1H/hyJ2bgscb9sa/27HnP VHdZ+L5ZcIrcpRzyWAw9D/rGfR6chRdkyNavPWIo/UO/44Xvb9h+TvDEOxlx 3K3uE75q2xxo/kxY//yMOJ5YW7/A2TwHgV22ug6J4vi7KujXZe958GnZsXLk pzhGclu7msj+gZ8nqX4OElQU78lI5Cr5AxyBFUf+mVCRx8PbbNeVBRg69SRm 7DEVOVKt3/9i3/vBg1kHHeqp6BL1Pkis6C+k2seotpAE5ir781KcFmGj3VLF cQcCKfouKneFmRAdlFkemklgfKGIwG4KE6q574eJfSFwy660kSlxJoykrVgI +0rgYcXhZLtVTHi/3tbxWQ6BD5ZbS2vJMuF7icOuD0UErrqz+O+PPBNkw+8G 7yoh8NXvyJ50JSY8N9p2v7iUwPL+5udSm5lAH4sz/V5BIHexHsmxmwnbxj6S ZD2BYbuHZrM0mKB09FZDSgOBMh99mp2BCVr3ixp2NxH4QUnmo4I2E+4Hx96q b/7//7D8R737mMCM3d7n0Epg/cqTzk91mSAi5vznbxuB1o/+Gh7RZ4Ljl4+8 YR0ETq6IVFlhyATqvfNjyt8JfPPnaNt/R5jw8V1Z4fcuAgXnm0bcTJjAxSf0 3e4HgdFOlys2mTNh9QtGOquHQOVBoZRBCybwi7q+iv5JYPbJN76xVkwQzB2e 2POLQL3Wgw5HT7L7suE4RncfgR2HBrWFbZmww8/i2J0BAs+W3JMuO8XWv1Fh ucwQgbIZ2tXxp5kQ931TVNcwgb6f8np2ODLh9b89jAujBFKVT+ROnGdCcG8o io8T6KbU0XD3EhNa89UxeYLA7RJP3U9eZsKJ2J0Wp+kEhq8UD552YUJuiMS7 RQaBJnxN6rXXmNDl0/8qd5rA/7ycSd8bTIi0E42/MEvg5T+CvzVuMWHgyqsl iTkCG+f8eZs8mKDp98ohY57AHNtzHvVeTHi8fMIubIHANTYDjxzuMSFtYGvw 1kUCeStLeU75MSFM3+qsGIvAPYelDrf4M4FMbf8ZvURgVWmuSuBDJuyFTaQ5 B4lWe48L7AtmwvqxIF5hLhJpmyQy1j5mwlf+8YTeZSTeUImo+BTGhKv27T98 eUjkTdqeciGCCTc6/qrqrCBxj1Iw/UckEx7uUK5q5SVRPszJoes5E9q6dKuL +UnM4BfUCYtlQkixRp6fIIn77qZKGyQwwVjVxFhfmMRTV/p7spOZ4J9ge7ud QuLUsHeuSyoTkmhROvHiJHrZrove8JYJnKFBnBcIEuOOWFlGfWCC78mnN7lX kdi9saH5Jrvv7j/84a2BFIk5exw5+/KYMO/icHpcmo2faiofVMgEJ2aG6bf1 JI7Itt+IL2NCiYYrfbMCiXOre9aUNzChOLRbd+MmErM715UbNTNh1H/jWcZm EqOGsma/tjKB0Mm6GruVxPU8hk98Opgwm5194PF2ErnFB4omvjPh1audp3R2 kEjhHz9LHWBC9rja86saJB7kvS8jOcTmU8NWZnAviZG+ztkKo0zYOuSrQyCJ azlnBPfQmVCKA1vzdEj8laeaWTLFBPlWvsAn+0l8edvN5vAsm2+F0ionXRJV /ix8sFtg69fL6SFnQCI9Y8/xsUUmrPp0zXOZIYkfr3pwX1tiwgua7ZG+wySm N17IzOVgwV9s+PbEiMRddA4L/2UsOBfMyntlQiLzrTaH2HIW9B68OBFsRuIL iU1yObwskA5eUgk5SuI9xTITOQEWiOBZO5tjJAoeOD5DF2JBVLR7+G0rEvmS 9F7uFGXBK/5PYeonSKyxe3i4SIwFL2rXCylYk/hoXe28AcECj0nZTJotiaY/ hBNaaSzQ/UA7w3+KRPK5kb6NBAsmPR9U/rMn8fux0JlhSRaszajtmj9NYgzZ Eu2yjgUXCoCDcZZED9mLVV3SbPys4L+N50hcoc15IVmWBYYDnwW5LpI4dORZ pIgCC/yqtW4PXyKx/OTWshtKLKjb3yhc70xiYNzreg4VFlwxJC43XmHHW0cz /+wmFphKBhxTdmXznzyjen0rCwK5FEs2uZH4hfvXYP52FiyGBEZx3yDR2qVW 4LwaC+ZibytucCdR0+v0ruadLPBepr557W0S1wWzzmjsYcEDvWVXqXfY+bS6 70qqJgs69drv//Qi0f/rhh2XkQWrhU1/Hr1L4qHrF3sWtFlwUvabu5MPidP9 FsuS9rPnlGsHYxL9SGyapm8ROsiCppy7MUn+JEakb/0eoc8CJyurzsIHJFo6 Xb0nZciCI95Y3BdI4tEaux3njrCA+VyYbAgmseDx1scWJizwfak8pfeYxHMr At2WzNh8llZ1PAwj8cxpd0VdCxbsGUq8eecJiRvW5zQ2WLKgg7WL+eYpiRM/ We5W7LlJRSfTresZO55iQbbfmgWUnK5IwWgSZ9xnVtjZsWBC+9uMWiyJahYp Yz/s2XPxQbluu3gSv4mIfGp3ZAGk9BYUJpFYIuMwSL3AAqGPe6/kJJOIFW7u jZdY0HYp8N2GVHa8JW2wPnyZBZeGJJj2b0jk0N87zX+VBVkcTzM60tj152So 3MFrLFgp1Oj74z2Ju7UtG+SusyDHMSch6AOJyu5KpXbuLFhTo0G585nEhqm0 hrzbLAjZ7auWkkli1ykPm49+LDhh303/nk/icoVvUV7vWODcl9LrP0iiyG7R utx0FiT3SPXVDZN488E3K4tPLJgOAOlrYyQmr0zMWJnJggXz7jy9SRLfMb9y hn9hgfv7H586GCSauWoKTWWz4GDa6RN6M2y+jKYZl3JZ4HZkMuu/3yR2qiS3 jOaz4PC962c8/rD9pzaM5UUsEL00puG9SKLNgFB0fwkLjNdXmOSzSOQ5GZqi Vc6Cy+2J01ocNPwfljN0vw== "]], LineBox[{{1.863029491341594, 5.758359630287889}, {1.8636065072088668`, 5.760877453873766}, {1.8642138923323122`, 5.763534175183468}, { 1.8648212774557575`, 5.766204861442007}, {1.8745394394308825`, 5.811198951909488}, {1.8750995729366542`, 5.813924140388442}, { 1.8758574006209332`, 5.817638293328431}, {1.8764834321862074`, 5.82073675688588}, {1.877175361810984, 5.8241837196780155`}, { 1.8777354953167555`, 5.826979037303793}, {1.8784933230010348`, 5.830808578772156}, {1.8791523035960602`, 5.8341479350529495`}, { 1.8797783351613342`, 5.83735169094816}}], LineBox[CompressedData[" 1:eJwBcQKO/SFib1JlAgAAACYAAAACAAAAYHImcrQJjT8Cf6cZ1agfQB5L9W2O Vo4/oCI8+FplH0BFHaSk6WePPxaEZftBMR9AFjbrRstckD+aRvJRcPMeQFl+ 406N9ZA//ocM3RbAHkD8hB0weK6RPwBsax4thB5AD+50yyU3kj9yYegWw1oe QIIVDkD835I/xgLuxvwpHkDFXQZIvniTP2zyGaFv/x1AOIWfvJQhlD+8Aw2W +tIdQHvNl8RWupQ/9BBgmCOsHUBWheACI1uVP8TPG8NThR1Amc3YCuXzlT+I 2lMFVWIdQAz1cX+7nJY/8GxgYW48HUBPPWqHfTWXPwyhfBI5HB1AwmQD/FPe lz82qQCAaPkcQAWt+wMWd5g/6O6JaWnbHEB41JR47B+ZP0jvMaqZuhxAU4zd trjAmT/aKyKPr50cQP5khYhwUZo/YmbNu0+EHEBRRGc7E5ubP5RwQpsfTRxA 5LO3cR2jmz+gZ49eukscQCf8r3nfO5w/gAYUg2szHEDUFNvORNycPxDRBf1X GhxAAvlta2SWnT+wwShyef4bQOkCK6FYLp4/PlxcwZ7oG0AsSyOpGseeP9Ab XYUZ0xtACANs5+Znnz+6YiPCSL0bQHJd2pJZBKA/5FJ1fvunG0Bfuf6xv1Sg P65jqfw/kxtAgN36tSChoD/mOTxN+n8bQGpQ6FygBaE/bF4/76pnG0AozWsP 8kWhP05m5nqGWBtAFSmQLliWoT8YZsmxtEUbQDZNjDK54qE/bhFDW3w0G0CI UCmjLj+iP65W3MVOIBtA3jz9i4qHoj8y4mgy1RAbQDMp0XTmz6I/ft2V340B G0DUMA2A "]], LineBox[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAAnnlFU3C/tT8a0rsedEEYQOBo1s8Y 5rU/zoMMD448GEB364kqyg62PxjvZYh1NxhADm49hXs3tj/+P6u1ZjIYQFFd zgEkXrY/9lsRiaItGEA8c6Q63oi2P5z1da1zKBhA0/VXlY+xtj9elHQthSMY QGp4C/BA2rY/EAbjK6weGEAB+75K8gK3P5ayftjWGRhAmH1ypaMrtz+YKJ8S ERUYQIbZ4ENDULc/2IZPgdAQGEDBPEH1IIO3P6IzLBD1ChhAXAWNtbeltz/c xf1LAgcYQEph+1NXyrc/jNTyAN4CGEAI8jFUPfm3PzzL9riY/RdAdCDKo9Qh uD9G7ZsFF/kXQLcPWyB9SLg/8jwHys70F0BOkg57LnG4P9aEPpVl8BdAQTQV f7OPuD8OKUYUG+0XQHyXdTCRwrg/mn4qQaHnF0C/hgatOem4PwZfg5+F4xdA plZEgA4auT+Qco8sX94XQEAfkEClPLk/xIaRT8HaF0B/yIhXaGm5P1pHUtEd 1hdAbiT39QeOuT94RZVXWtIXQASnqlC5trk/XPaWUzXOF0BHljvNYd25P457 ujlJyhdAMqwRBhwIuj+WisQGAcYXQMkuxWDNMLo/LHvaY/PBF0BgsXi7flm6 P/xnDiznvRdA9jMsFjCCuj+alLcV9LkXQDXdJC3zrro/JA6eHpu1F0AkOZPL ktO6P9xye+UTshdADk9pBE3+uj+ozl5c/a0XQFE++oD1JLs/zgFQMlOqF0BA mmgflUm7Px5bbWfgphdAJ2qm8ml6uz9UKJfMUaIXQBbGFJEJn7s/No3YTeye F0CsSMjruse7P/LYkjItmxdAQ8t7Rmzwuz/qJSFUdJcXQN6TxwYDE7w/aCZs kFKUF0Bw0OL7zkG8PyWk1d4bkBdAC5kuvGVkvD97xPPeBY0XQPa1YLKDjrw/ Z8BNJ0aJF0Dfk1YAIL68P/z6Gc0WhRdAdAH2IqbovD8chGu8YIEXQGJdZMFF Db0/lZEh2zV+F0D53xcc9zW9Py2lmJi0ehdAkGLLdqhevT+1VcyDNncXQCor Fzc/gb0/pH4fJkd0F0BljnfoHLS9PwR51Mf8bxdAVOrlhrzYvT+ODtW062wX QEvShPAm8b0/Fh8SC+NqF0A5yHmV "]], LineBox[CompressedData[" 1:eJwV0GssFQAYBmCKMglr5jtSi5pLiInazMn3mbZkFp1ZRXbcbyGXcqsJ6Tax WIqawlzLSRg1haVc4uS6mntH0llW0kW59un049374/n1vob+UaKgdUpKSmaK /O9xf415G0PG2vTaYgwHSvoYOVy8i1GqLq5OOw3kMj2nJjNmXJjQbB+JBZIH Hp113c2o5aF70zgeaHLZXzxhzljlLTGuSALKe/72c50l4/U/l9wzk4G+B9+W B1kzvkqNVnFJAyo3UYuxt2Us2Wyl5XgZqKhZb0q6n9Eia0Youwa0FDomu2DH ePhk2pfaTCCRzr0JayHjm6WWnsxsILV3mqEbkdEzLPpASS7QunCDkTxHxidj 0+HifKC/SntdTA8yDoekm28vAOpVrj8XdIhRXbqULy8C0ogMGqw5zFhuFZnj XgoUKDDpD3BlVIkwmvKpBNIfyfeyc2OMuLP8oUICpBv1UNp1lPH9H7FTTg2Q tmqT0MuDkXzN9NLqFftVHSLzjjPWjccHZjQC7YiZa5vyZDwievAVmoESt9W+ vOXNWPCjbLdPK1B/Z+wLZx/G7IFU16p2INMzti0rfozHSq/orXUByWzKnQcC GU8ETAbn9gKNdj1t9AtR+HzG67ZBoG+FI/2epxgXf6/1PRwCyjCwb+iMYBTE yHsaxoAcP0jwXhSjQZ+LW9wkkDChpWZPrMJX7Eu6p4Fyd6ZWT55lnFbdlxI2 AzTb4yi5mcBYL1KJ0/4GZGH3a70sidFBbKmv8RPIy82o1SGZMZ+2zi0uAC30 XSmTpDA6P+uZd1oFcj/vXOJzkXF/geaG7coCqjRWL95yWeEBCR2rqgJSHpTe b7+q+FfUpSJXF5BXclZBYgaj8MIQj2oJqM7U7a55FqO3TrfhJx0BPWrx3dR0 g7GjUJ7wWE9A/wCW60Lm "]], LineBox[{{0.004932955366877961, 10.}, {0.006127857114005835, 9.477971000197552}, {0.006195330566733033, 9.455353059994295}, { 0.006747386089046483, 9.265434676050392}, {0.007054083601442844, 9.16746374278539}, {0.008004845889871565, 8.906856507238734}, { 0.008587571163424651, 8.76998116944216}, {0.0091396266857381, 8.65300897251224}, {0.009814361213010098, 8.522018583820275}, { 0.010335746984083911`, 8.43024679490685}, {0.011041151262595545`, 8.314859218032487}, {0.011654546287388268`, 8.22562890121353}, { 0.012237271560941353`, 8.144611694213141}}], LineBox[{{1.9121342823770786`, 6.040735615655608}, { 1.9127603139423528`, 6.045636729988301}, {1.9134192945373782`, 6.050834807997143}, {1.9141112241621547`, 6.056362018318026}, { 1.9147372557274287`, 6.061411735408438}, {1.9153962363224541`, 6.066735359380093}, {1.9160552169174796`, 6.072207349075745}, { 1.9166812484827536`, 6.077392613564944}}]}, Annotation[#, "Charting`Private`Tag$26110#5"]& ]}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.5, 0.99}], ImageScaled[{0.5, 1}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*FractionBox[\\(\[PartialD]F\\), \\(\[PartialD]\ \[CapitalDelta]n\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {4., FormBox["4", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {6., FormBox["6", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {8., FormBox["8", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {-1, 10}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 0.008193159324289823}, { 0.0005827660898796174, 4.221706916573377}, {0.0012068952428188247`, 10.}}], Line[CompressedData[" 1:eJwdV3c81f/3N0PKlqJCpEhIRUM93y0yGiKriCJEoVRWog8ZGYWQNGSlMpK9 M0uoRGTWtTPutcm99/31+73+OY/X4zzOOY/H6/E6zyF90emMDRsLC4shKwvL /8U/a5Jehz4zBMv/H1mif72s7205Czz2Un6kdFac0G1sy362zhoH0/T2PR5Y T8iGbEgmJe3B5IyNOvN7HUHXuRRjJXcNXsoFRw8mixF//VqqraJd4CzMtlNp RJQwtp4vjVjnCvGIjU2r/xMhqo+I51fF38LP0B2VR8yECRWZA1kzku645HPB ReCCEBHPZpm2OdETLzgb97bdFyS4KfdeGcl5w39av3FzvQBR9Lu5scrQB7ft 0kofywgQzqetdc5H++LRZ9b4Qxv5CbmK2dqZtnvIk17RcEWYj+hWDjgSus4P Brf3Kf6RXk1EvVhbsfmcP+70vtLpObaK0OF/o1EWfx+HDKIMzbx4CZa7+wuN egIgdiP1VE/lSiJvomE3VTIIPzU41lwSW0k4WlhkB1gFg+YyLLTXjYfY1ERV kkp8gFSfz7JzfdxEWLrQVn25MEQKiy4GtnERxzYkJY3YhiN82mCjuzkX4V0b J/DR8CHIPe03bv1dQexSUww1jX4EyzgvGq/YCoJ/wvXLZvUIWLf3+YTnchJ/ k0t5ptoisLJoD++kCSfxUvTU/eB1UbBWzXlZ/Y6D8GyMqTYqikKE/GrtkPMc hJH/bzaZc4+RY7DCqIOfg1g163K3OD4aFK3BslU+7MTQu6LSgAMxmNmMMl8N dqLSmp1u0BODsHsJC/FLbIRbS5TbmOQTXA3t1pXwZSMMQrrzCiqegOZoLa+q xUYoHZWb9bOKg5NHAosRPxvR/yHfZUPiU0xLhQXrJbMS+pEdV07KPcdJy7R3 WwdYCEVdmTTxuucweaQoU1fAQnCzOw4N2r7AjgYVhbxQFuJCIfN9ueFL7BGu HTi6n4UQlX+oZBKdgP3T8n+UtEiw+eecKBtMwI+GkGotFhK03+2Osuqv4Kfp aKlUzMSXWOm3tLZXUFU/80hMjQlf7g9bgtYlIWhGX8r9IAMKWo8Cs52TkFh/ WVaDpKPZ32mksy4JMxVHpP0/0iHLrvhW6VYyTuV0sTno0FHLSFJqaU5B4IQl B5vjEpw0/gtnyKfiCvvlSHv1Jaz1tKLJ+aaC811mwQT7EuwXNmS7K7+GTfu4 v/zLf1g1Hb1bMiQNmvEdvVb9i8jdcTP6eF8aHDT6qNn5i7BwNph32fcGAXxC oV0PFpE5zl9YPfwGbDneXM/VFnFmOFDjyrF3cOMtcVB4vIDYbo8jucwMzOjW Gxa6zOPQetOknrOZKLpq1NV/ah5/zdQ5udMzsaFsJ1+M0jw2jrlfSt+ehbZr P3R8x+fgZK+2maUrCyoGFrKCLnMQss58nbwnG/EK702ehMzi8n8bTfdZZyNp 5ydKpcssil+F8nwNz0ZkZnGbpvEsrP84XFkYzIb2r7i+szKzyLXYqqj7+AP2 aUXIniufgYlpQiZtMgfGO1+r+XPOgNppuPKVeC7GpJQspmnTuG/BbWNwJBc2 7ySCn3RN48MlJ/G8qFyse+TwIyhnGnzXDvh7qudBY3VGR8/ladTc+2W24k4+ WAMDciJbpnCeMzQ3Pzkf7CFtAcJVU5gKIATsm/Lh2fMxpvT9FKRCU2u+SBZg suzV69DwKXjF3FR5VFkAiek9q3hPTEH1neCK9dxFaNXXfz/VNInPSjWWjSpF SJ/0nKovn4Tle7dib9MibNt9mV6VNYnQvF7nP2+KULh6h/uayEkMV6R3ppwo BjXQiVfFdBLPW7Xf74gsgWZWWFfLXxp4Sd/zWhvL8aTssNxxaRpi7Y0tFDXL McbnVPlOlAbZFkVLwWvlYPPoebt5JW0ZR9sudZaWQ2PGoTllkIrCtOjcfKUK CMVfK1AOpWLcYKxEt6kCbSaWH2T/TODs65gvN1ZXYmfHxdvNCeOIN7+nd1m6 EvJZtgNdYeOgCF1tNNldifTTx9zZvcbhdOfw1wPmlRh7crgv0WgcQWfGm7nS K0H7teaD/OpxlNIPdzzVq8LO/IBDq+6OYbP+xHDVg2rYdfO13nQdhfhdrX22 CdUwPGyZv+3SKATSXz5YmV8Nxx37Xi/qj+Ift4GSPqUa/E2mZV3Ko/hWkX+j Z08NpsN4FQrH/sJDxZe5MFAD/blY0SdX/qKJX0REiahDx6Y2yZCbI6g6cNXm +9k6bFXWfN5xeQQFDrV5rg51+K3j0b7PZASJdW6mxdF1kDvT06O8fwRud7uf Hx+vw+B1gcEh1hFsoqbIX4r7BE39L4xrEcO43bQXsTOf0eKwr2G4bAh8SrkD n7nrod5M92b7MISkUJWQpfX18Dk9s7AldQjf9bb8sjhWD9aId8OPw4ew7YvI jc3R9Uh5YXFqyXIIvXXUlGz1L/A+x5f7i3MIWh+T+Ro9GsAhxPA4ZzwIsRzB HlbWr0iIPCdRLDqA8yFLhv1rvmKVqqC8Pe8AXlkPfKlV/Ioyt/GNUqwDUBQt LHxg8hWGXer+r8f6cfiW5WPRrK/w9SUjpKv7oRZvnBKl/A15G5/2prr2w8oi xfx1zzeIZ8rbJ3f2IY9ypOGrRjPsrhotVpVR8PO472SoVjMCbUKfXc2jYC6j bI3emWaku5xjrM+gQN1zr9Un22ZMdB5sCnlGQYGw8lxFRDNSW0ybMr0oKDwq LpU93Iyg+lJN+n4KSlJoN6KifuCecq2SR9kfVF55JmE61gKp7uMTYd9/Y1bu AH/61TZo+DVqc/zXA7bFtwISmzvwZbozmt2nE2qkZZ5BRhfIcu55t9l2NPjt aqpV6EUAxd//9JufkHw4upg28RsbBGhiO8xaMDrf29OqQkGobU1ypEEzkv4W 1/OF9cHIqdJHDt/AtyGV2t/fD+8h45spTxoQYp97+aXsIPIq13vclviMOeJt v93dIYT+e7jjl3MNXFWrc9ZUDePnLt5bt9ZXojej+sF36b9gE0458UKhFEtX Wp7Ke4zCJluqW8c8D9sOcTEvF4+h6uz1lHXiWdB6JW37XmwCP0cSpBvLX2FX LJ9c7foJOHi2vy4KfQWpsKX+DukJRFE69qSde4V/7q0XORQncMSr3zZoPgHp +kEWxsQEau6HZZ9VToAw6+RZht0EIkLySLWDL9B7oeKodtEEtmRKez5kxqLh bDq7RfkEBI2vfH4VF4sC3bjK69UTcLtFuuapxSJC3ZWIb5pAqGN+459rMTjG v1WDSpnAt17xEa3ex3hbFr7zMS8V2ufvDulVROD2hgub/pynYk5JZq/ciiBc PK1i1GVFxQkFPXa3w4E4+R9rcNtlKsYknMS+eAdAbiRxstGZih3ZC9Ou8/5o yRmuKPKjonTwkdnP4XtQ0bt+IeodFVvkjO6Hxrhj/d0jkeHvqWA6CceeFnAD V7ZIXXAeFfTU3zSRoFvoEctX8q2gQpwnRDbB4wZC+pYYV1uoiDvfGh9cfAVu axp32P+iIsO9KVkq3RaXtJ/bWPdQUdP3Hy3/uTX2ZRKNZsNU3Jlkav9gN4cc RZDVaJyKFjf721xDRhAU7dulP7WMi++4uzTqT4OulWOnN0+F95M47UGzYxj2 8I/XolNRMpzwL/WwKv4abbNLYKEhd5dmzMTHtbCkCbNJstMQt/VC3IvEg/gZ RH8az7l893sZc/GBLnRlBnaLc9NAv6vo6EkxQEVJ49eYZZw+9LA4TpM0hZpR nr3oahqCPTUf8/BZYlNQwDMBIRqe86zvble4jNhNzuphIjRY7BVXObzXHnwl Jt95xWgwu9b1652WIxYn5Dm51tMQ3fTX4YiqC74ZNjgyNtMwLOfCIX/qNhTH zvK2naBhV1NPVtefABQY6pUHn6bBtTm+SzYvEEdKD984aEDDJ4WZyGvBQTAL U+5MNqEt80lqx4qdDxCkwvPW9RINYaHdGnp+YRh0LdERcqfhZu1nZlxkBF4y NgWfSFquT+51d1F/AmF+Gnf1PxqyJMlh2cOJ4Ch/mikTP4mHavwsfYWZcNhV /ItHdwpGz+4F/sjIw1vtiy/L5qawZ/7ijRy3UsyOigsMRk9jD+NDqczsR+Qa aLFHHZ2B4onQsvcBNbh73P9FzuAMbnn/ixCb/QTpbp32RP9ZbHjwQDjFsQH7 1P2i1qnO4WCBwu8yhW84v/HrIuuPOWwVf9ZqJtyM2fpQirPvPG6+vS+ldbgF sRwWrmdkF6CSt0Zly7WfEO7JfcVWvYCJkYN7m/LawXnH13CvyyJ+CBee+WfX CZY0i0yK0D/wSbU8sFPpwfW4zFChyn8QGHmUxln/G6XbArkFry3ruD8rV+gs 46dai1hjhPMS/vJv4RZaxtcsr9RHIjeWcN8kn7+3hoJXjbXia92WYG43qxPY SkGgE+d2yXtLOMgqob52loIzH+7pb49egl/Ed41du/swtO9OnHbZEkQivHMi CvsgqHNd8R4fHXbfAuMaW/rx8iM/7z5BOgK2+cn87umHyt70kUlhOgR3qKkt Dffj5NbhFKt1dEw7/dypy+hH8AoL6UOydBDmobsN5QbAUaW9hmUfHQcX3yyK eQxgbr80i7cNHd5Z+pxdWwfh/6GsZ7cdHWOfho9J7hqEyLbzpeNX6KhTXK12 FYPYKR7jYe5Mx3ODtpvyRoNwXlg1q+FJx6HTqrmb/QYxkrMwsvSQjtbfS4ug DKJr+7cf7iV0TBgvOjxf5s8Xo4J32MvpeNzhlRa0zK8X0wzkQpd1tEhi6Fef 8iGMyLa5vayl46avpGpk2xDmJHo21H1bznt6DetwD0Nw5ZityAAdXEnn3ks4 DkNzkIuesZqBHxpbHJgHRsCTpJ28R4ABHzfTjljdETRYPThZKcRAv3xb4mHT ERh08yW0ijHQXn+kvtp1BJYtopp0aQY6U1dIBLwbgWelzENtNQbObn/RuUny L7KeQ7bfgoFtrZF36wRHMe0xzWVlxcBTRxs2TelRqBmnjnZfYuDfwsp17Sqj KObn/9BmtzxPM6dY/fQoan16Dn25zsC4Gx/f3/BRdF68cyH7PgNTR55VaQqP YcWW4jifDAasco11bLaNQ5vdyZuRxYCrgLlh6YFxhPRuuujxgQFv5fFNKqfH IRgbLO9awEAH7irZ3hzHeh6zAttKBhizC9IyH8ehOrrQevInA8e9c0zFLCZg nqkmuIHJQD1lpPF8FhV5Zgt831iYYPs4tSr2ExV8K4pW/cfOhFvL+assf6io OH+Ae4SbCY7cGM/tPDRsWnmUzBFmIrKfXSdpPw2D1vrjevJM5Ow6VXQieVmP CgiPktuYGIrsu7eUTUNMcctwthIT7rayljUVNBwXMulfu4uJ/uTBxYwuGt6U W3T2H2TCAz0hA6KTuCbu+NnLkImx8SZerbBJ1NZsr1M2ZiKQy7x19NkkJF2o 1RRTJoLNNfVz0ifxre56xfELTMybZKVlN05C9aZ7vsiV5fk+GfE3+acw//V+ 8ru7TEgNjhelxE3Bxz/Bt+sNE85xf9N2tU5j9W0uHat0JiRcwj9qjUwjzu6q 0GAmE0rcvLaPGMv+QndvIjWHiXIZh9sNcjMYFPxezVbOhFeDEBuL1wx0n7Nw y/9gwuGoQoa96izawy9/S29lYhPrhISLzrLf8W2IVW1ngqIbd6Tq4iy8rWPl NbqZyFDIkj8ZNYssBRXdU0NMbJ/bvrR9aRZr8i+E3Vxiwme//ofKX3NIfF1j 9I/BRGrRDmOD+TmoxG2TvLvsW1NmW7ecEp2H9p35zEBOEu6JR+kRZ+bhdST8 +1N+ElNx8nFPm+fBs3v2iZQQiS7uy+qt0/OIljt3MVmERMl/WRwRogvI5Nky nbGOxI5f92wSzRZA+VomUilDQmVm5tnD0QU4fZTt1pQjESitfPSk4CLo2cHJ X7aSEODwss9UX4RotJFa6/ZlH60tG+d0fxHHz08YD6uTaBaK1fVU/If04Q1P +fRIXC8MKlR9uYTAZ/6WPSdJ1G0dDR5uX4L1mfHNGfok9H5NdE8J0bG+pCTr hDEJyYr6nQce0BEcfq425CIJuukd/YthDFw+WvXgvA2JUpuNui4/GDi8qKCv aEdCY+etFnNxJhYv/uv8cpWEtc+8s0IGE3ZqTyZXupMoaC3Za08jcXSUJb/D kwS0r80+kWEhJF/aeb3xJnHJvyTG8jQL8ZNnD5eOH4n2325rrTJYiOyyFw3r AkhMy7Kn1vayEGE3uCJGgkh8iU1VGxBiJY51/1wfFE5iJjLzWJE3KyEVcZBi EkHieGjy8fR8VoKumZK69TGJ+71+A81TrERO1k3VT3EkbmeJ7D7tzEY8tOme j3lG4o+KSQwzm41wED9WavuSROLP1dOhC2zEJj+R41wpJM7d0ixSDWUnmHu8 Vre9Xq43VX70uYud+DXe15zydvn9fuwU11ThIB4afzDXfE9ixQYf9VP9HITj KgmZNTkkjq2lmqUe4ySOf7w3PJBHYjijTs7nHSdBKpy54V9CYuWO2qqZkBVE R2/hnrPlJKR27Nk9xMVF5EVJM2UrSXweltUTeMBFRGgHVc1Uk6i41SZiK8ZN XGPSAqvrSAQIrdRdncFN6HwwORlVT2Jn+kMj09M8xGa7CmHrxuX+6witPpKH YNmw9dfObyR6LuTNPS5bSXR9D3/O/oME5ZzBUk0YL1Fwf/7Sj1YSce/LO07f WEVE7b8gn9hO4hS3puEnp9WEM6124noniRAXvxeZgXyEbrJSzuEeEvvkWfe3 VPETcmbR7kJ/SNhWXBKzjxIg2PiZByl9JIxq1hRTLQWJniobjuzB5f1YLNIN PClEFLk1fvYdWd6nY+Xi+22Fiejtu8P1x0gsBYdzjDULEy6UeENpKolvRwWP dpqvIfRiOMQnJ5f/n/hbpd/ua4mteo69FTMkHG4EyvKclSA4WFuSHs6TaPzj eqGNtoH4nbv/iuW/5Xwmm+p95U1EyZVEZRUGibvBJdc8i8WIGEneWZIkYbm3 fl9knQ/+B6M5h/w= "]]}, "Charting`Private`Tag$26110#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwdV3c41e//PseWbCoSEVqSfKTSuN+lstoklezQEqWSpIjMUrJCRtkyMrNl VmalRYgk85xjr3PO++v3e/55/fFcz/U8z+u+7+t+3fJWV0+c56BQKPpUCuX/ qmb50vBwdX1Q/n8pElkRsdRTkUaQK+qSKuRYQ/TJKHrcUjbDr+mhQRcJecKg 6XvOCykbFB3iPb9kpSyhGLgqkZS7gBDH4Ou/2dIEU9863FLZAerp9vnJglLE kFdbjWWYE6xO9/s/NVtOnLKZKQuWckZZ4/NLA9LLiPPePzoj3W5CZDCveeOY BKG2Znf2pNxtTB8c9uKaFid275dtZXregcWxzNy7K8UJu7iaO/cOumMhT43H 0kSMKP79uana6D5yFA7rMfNFCcdjNvqmYR5oi58kGpVECeXKqbrJ7564u8tp n06MCNG52Uf7kZQXKIVDmVprRYiQ2BWVSme9oc02Pyp2TZjQF07bVR79EKkF scsMU4QIyr2dRcZdPpDak7rGiCZIFNAat9Ll/PBx8oLKSQgSl83Mcnws/VG8 Lmeb5MulhEIzXXX1qwD4PqBZKQktJR5niK07rvwYxflfUlWpAsSBVQkJg3ZB 4H0S8EXbewnhXhcp8s7oCYiRrK224kuI0+5/jjyaeoJr/gPh3Qn8RGOiW7V1 zFN8EOgZ3K/FTwjTnBuUtgXDt5yP/3onHzGUWMY//j0Yv/v6eNzu8xG153h0 y12ewdEp6MuwMh8RJ3n0ob9UCGQnPR92fOYl7jSF1xgXh8C0KnVFmCcvYez9 m2PN2VBoPFeq8NnKSyydcrpXEh2G368vpjxK5CH+vS4u89kdjlH1DLEMSx6i yoaTadgVjoJbthva5HgIl7YQlxG55xj60uGqm8hNGAZ2FrytfI62VY2/l1zi JlT3K095WUaiqN98ol2dm+jLLXRa9SoK05JG6irvuYjjz9ovHlGOwect9u1l PFyEisGaVOn6GBissape0s5J8HFe/tdvF4srq1V9UjI5CfMi9psKozi01u4P DT3LSUiuf6JqEhYPK6UxakoVB8HhnXe4vD8er7avFv0bw0Ewfv+4rLjtJU5o yuzid+MgGiLk0xnfX2LNQobu7+0chAdf7lo/qQR4LAy++1FCJTboPPXNcUzA mtaDu/qjqMRn76uDHfUJ2B6dOVHgRiUUOVXSVW8m4rHiG/EHBJWoYyWotn1O Qrxc2nvOVgpxddeDINb6ZETW6jicz6cQK+5YMpQ9kvFaQHC5cRSFuDC7Kuf2 5hQMWKoeabWnEEsnwrbKBabCtOHLsxR+CpG/5UaY7p9UaDus30vtJ2HmaDjj pJWGH7Pv9fyLSGSNChfVDKQhclVOsYA1iRMDvrsuHniNoxt0LWQq2IjodNXO Z2dCq/lff3UYC3tlTid0ncyCiFjqsKEzC0NntnHzZWSBX1fy38UTLMiO3LbO 2JSNNBvzcDkRFq5e0FSi/MoG4bO0VOcpE2I2WSmJ23PQdvGJumDKAmwfyJ7W ssnBTy1vz9jABZS8fMTfEpSDf3c/3w50WoBNz6WLs/056C1w2uWwawH5ZutU DEJz8SWBO3rlt3mYnI7PYozlgc0RS41bPg96h9GSl9L5WOEYJO/FMY+HZnzn DbXz8StBwDFudA651lelC0LyceRhoevdmjkIOez2vrOtAFb/tfVnOM+h1vPn GZ67hZjXiI1f3TULU+5H+YWJhXD1+vRpReMsxn0IkQvNhXiZ0GSxs3gWqx8l 1zbIvcWOgrA2Ztgs3MJvqD2teouSsg4vsxOzUH8tyiPDVwx30S0eEq0z+KBa a9GkVoz3+yBsVzkDizcuJe6ni2GkmeTRnj2DRwXdjj1pxYhZ+na1QvAMBioz OpIOl8CNy1V9rfEMYr7qvdnyrBRnuD1ik/9MQ4D0MNWRrYCtT7tur+g0Ii6c MlM5WIGBfdGP6rinodimYiHqUIHQ+9vUKuamsCf1u3VHWQU+kzFPRnqmUJQa ll+oWonqy9e4t+ROYdRwpNSguRKDjKDdqqencDIlvOG6YBVs0lwanr2ZRPQ5 z0O28lWgHeo4EJk8iV6xK00mW6sQPHnsV+aLSVy9u69l97kqmH1j11D9J+F3 YvQzb0YVvAPlbutbT6KMua896lA1GvVbKnRXTELpOG2gOqAGcQoin1cGTED6 no6WXXwNZrWcZGkeExDJiAtYUliDOfmGG40uE5jnM1Q93luDao6p969tJ9Ba WXi9a3st2Iq8ObP7JuCq5sGe/VuLFT63LiWwxtEsLCGhStTjoN0Lr1DXcdxq 3oGIyQ8I5dlXvu7xGIRU8/9+4PuIwmXL7+f7jCHhkVrggsxHuNhekNX1GMOn Q2t/mh34iGFjiWp35zFsbJC4rhT2EXsnhpzVzo6hu56elLOtAcvWmq6MXj8G nXeJQk2ujfAv6+s88pGB5XmiXVRqC4gwXk9IMWAauGDUt6wFyfuTi33FGXhp 87ehTqUF62b+nPwmyICKZFFRgEkLzpzNDnHnYGDfTYtQyewW1BFiBVw/6NCM PpUUsrkVHZVsavw9OizNks6ldLWCuoYv4nUbDQW92o0tuz5j+Ls7af5sFFUX X6w8PdKGph3Cr9aaDmNKebdwxpXvmB5tuWb4YBAcc+kiK5Xa8Wfw0f2WjH/Q JC0KDDN/4dj89/njEv1o9NJortvQjbT4nWZFoX2QezI8l0r7DV7Xed6nXH8w PNPd9VWtFxpDfIc6QnuQMFTyUejxHxhH7GacFPgNoVXJ9L6+PjiYBzzzWdqJ wAv5tnGK/dBRn/P/tbEd00R6n/29f1DgFkldOvcNzuo1ecuqB7CiRMnh9Z8v 6M6sCfgkP4Sq0OSnkxdbsXCxLWq96zAcXbZubC36gI17edm2JSNQTLkq5d1W BZ2X8nZvltPQ981WS2FrATQihJTrZGgY9OM9HzOfj9WPF/ra5Wnwf6UdLFmZ j/nbX624VGjYzUmXn9LPR8ZxP7NTBA03ozeccrXIgzh17CTLngYTfgejZP8c dJtX7tcrpmF/xt6BysIMNJ7M4DSroIE2ulMkZW8G3hpEVl2rocGCR8fAt+E1 grc5E9HNNLjMaFprdKfjgPC6XfReGrg0xZm7edKQXh70X6gAHRf9tyirGibh 1ipzhR5TOl795yjr+fkFrI6pGf+ypOOovm518mA0jjyg+n+3pSOhY1VqHSUa yoOvxpoc6ciVbBYcU41EW95AZbEXHesoR6TZ/mFQO3TNPOQ1HULX3WjHvB5D 5p72s6A3dLjVprZNvwkEb45EvX8BHS/kdrFDu/3RtbxQ1aOSjgVJztZ3Wj4I /LPAutJGh/LNo9UFPffgsqxpy4WfdPwaLU/P3OUGa72Y8zZddDzN9WLEhrtA K4toOjNAh8oVKtPpsBOUe0WpxqN0lOqUjqccuwRRyT8ax8fp2B6bcd+OxwZM nTz7QzN0fBhyf7PP5TQGXL2jdZh0aK9Iq7eoP4Ah44328RQGmLG9jWt8NsGC Ic4hx8kAv22di8uBE/jmx4yK5mbgbFqzJNcVi0Wf/7tVmo8BDaqYmG6hHSpL m1rClzBQQ9vp+pB6FZrGBRckF3WWrlTY0KV0HQp+Pi9ExBhw3bfgz+voiggF x22PJRiI0xXjFpd0h1CpySeB5QzwfDhQINB5H3O09dy8MgyIPC9q4PT0QqtR 42WWEgMjKWsLCxoCoDJyUuD7YQaOplnpZd2MxlujQxX+xxjwP3mb7+j1F9Au 23d9j+GirvO73/RfjcGZx5s7Ek0Y2PMi+bS7Rhz81PjTna0ZsPIQ5TTb9BL9 zqX6YrcZsFfm91OWTUIcS8H/cAID+7+WOE/NZ0BcmMFXM8+AgqBDvXFTAbgq orLWRI9B9oWnVHRQFS5plPzkNxjHycwbNWdFPyJdzyqufHocFs7vhH2DWzE1 LC3SHzaBl55BNavLvyDfUIczZP8kFF7mnQ8V/I57ut6xef2TMEuqenNKoB3y nfo/XnlPoT1oi4nFwC9obfMKkVKfhnrcCE/0TDdMZVvmqF+mQXs/Qj1i14Op j496HT1mUMeKymdP9CKCy8z5hOIs5uu+qb290gfxrvyXHDWzuG60p0d25C+4 73oY7XCaQ5JxkrZf7D9QUs2yesXmMZAvx11yfBDXIrMeiVXNoyrgL+Wc4TDK NvryiTosoNU/ZGml3yg025Y3BTsu4OlrdWZo8Ciy3ZKfSlxfWMwXh2sdo0bx sqlOeoXLAvRuPKJszRiF71XuTXKeC3iXtrN/tnUUJ3I9j28KW4BpY8yEsxQN /7TuRuqVL6A9bWjfjUwaRPWvqXgKMdF82+TjwyE64t4JC2iJMpF2P+l37hQd ajsyBsfEmVBUdM10XuTtkXUDSZZSTDze9KenQGCRBzxm8nsVmXhm8nXBQYEB rmq9ZRQtJs50m9LzFnkyvVOe4n6eiaqiyrAv2Qx455Z3bbVnQn+TpB+lkAGJ jaZloxeZUA+fqFUvY+A/6XDXc46L+5eMdJM/MOA4u3Rq1x0mMivLQj71MjCY Nzu48IQJf/XiTxrLxvBrU+uX26VMSJ3JOeO76G+xw6J3OSuYKJbaWM9e9D+r VEPlR++YOLKlZPWdRX8cVPzuElfHhNtHoY/eUWOYXtm1qr6ViacjPAf68scg umTETuIvE5I7bta1Do/hYD8vM1OQhXb34OY603HwJ+glbl+cA6331KhL2Iyj 0TLgSJUYC48POu+9cGkchp1C8V+Xs1B9c0v8hkV/tmiTPMiUZyHK8Kbe0ohx 3Kla80RPkwXXE0//nfk6juwYKPaZsdAvF9OYaTyBCdcJXktLFuz/CWcNm01A 81TycKc1CycD28+p202gRFg497s9C9ciJN07b02g7n7X3oZrLOR5Rl3IeD6B Dqu75jkPWWAEPqfqd0+AZ21J5P1MFvi4gnp2XJ+EHudVd1Y2C9Lj9ip9bpMI 7Fawcs1lwYanuifq4SREI/zXO79lIefmplUakZOQ4T/z1q5q8b13P40KVE1C fXj265FvLExP5YTckZjCuSxN0VVsFm5cVLEOrp1CwZlZoVYKG8Z21iFan6cg xFO89AEnG+ukL9vPdU2h0nQ33yAfGwKf0lVKZ6egsGQ/mSfOxuUnb3vMNk2j 3+b46KH1bPiaWAvYRE1jj4j4MLmRvXhubfaL1GmEl7QN5KiyQbux12OicBq6 YiZ9KzTYiK77z2CqbRppFWYdfXvYWG2649I5kRk4SF/+4GbEhgxzucjaR4u6 rd1Uv/kUG1YqT8xPv5iBnBO9pvc0G4J2D+9lZcygtf5apa45G1rl290+NM9A /cbtQomLbHC4/re1VmwWMy0PE1/fY+OwhjIcXs7ivne8x680NjbYvlXi75+D 4C1efcsMNvj0O/MT5ucQaX9FrD+LDencOeZN4XnkGux4Rc9jI09Lobl6xzz6 RT/VcCzmEpn6f90yT+dhEEPhW/+FDXUNJ/V2gwX8CLJtzfjKxusgTfplm8X8 4NEYof6DjbfpDyP07y7A3SZi/a5ONpaGuMqMZi0ge4OawdF/bIzk30xmr2Bi WaH54xsLi/89dtyBymTiVUqt8TyLjZD5Xz2rpVlQi9wod49Comq0tzJ9Owt6 d2eyfLlJhKkXOwndYsFNO+hTlDCJf67bf5+aY4F/69Tz1WIkngRzmCqsZCNM +axVogSJFfkThx13s5HFv3YiU4rE0NHzzQkP2OhtKZeoWkNC5H1oaccyElff KXYeVCbRFrY/SGU3CWaOf2LDOhIJ8dmb5W1ISIYZa37dREL5tb4Ofx4JXVPa qYFtJCL9O09qqFKIjIFVUUKHSLgxh2QvD1EI3xfeFl1HSGyfwAEZXiphc2JU KfM4CYNrR4ZvKlIJmdLS7MOnSIyua2zVsaQS/kFn6wKtSGzrv8rS6KMStvur A0zPkxAM7/wkzstB7JvbcFzFnoTlaofCng0cxJzVfEfDFRJTFcR6lxschL3m 87Elt0kY19n5LiznJPYPUwrb75D4GcCRVazNScjF2buluZPo3zF0o8ORk/jG v51X34tES+QVg6ctnEROeWyjlM9iLq3YJXSCykU8vs4bPOhHQsh8SK1Rg4s4 0PlNxi+IxOHkiwGn47mI1cF7ek2CSUQ4JRuktnMRzINJyetCSVgvWSOksoyb yMu+of4+kkTdvpoRmxBu4sn5zpnwFySopRvLnb5zE5ekD5TZxZEYe8+MMF/F Qyh4SejyJpGo5Wfx7c7hIdjb3QS/p5Bw8mBGF3HwEj9H/3xOSieRc+4KO8KY l3hyKvfcwTck2Ja1LTYCfISqCL/yeC4JYSUqT6ctH6H7znPgbwEJldva6mfb +Ahyw4nr3qUkxMxfxYXn8xPt3UXbT1aQMHK6MUxTW0IUhMizFatI9JScu2qY s4QI1vOrnqwhER8TQ0nYI0A4sBm+NfUkSqdf+Wp9EyD0c02OhHwkUR/qoLPg upRQsq8Ut2kiUZRWHzu6QZCgrFr387/WRbzL/cZe/RUkfn0KiuH8stgvc/vt nvlCxNuHM9ZfvpJYf6ng/PNYYSJkp/n6Vz9IyN4dC7hlIEI4Mupo1zoWeUgq Xh1oFyEEU2UKZbtIjKc4cpk4ihI2xik3NXtI5BlK19/YLEZwCLP39P4hkRbo ey5xRozoqj7PldNPwmr3SwPJDnGi2KXpg8fgIh6s3u5vbAlCeqtoKP/I4n0X ahpLVJYRTr3RRvL0RTxSe/qSWpcTh8K5pMfGSGgz+Bz2iEkT6w5d7q6cXNTJ odDp2FEZoo6rKvnyDIlZzfdZMgZyxAbFD98k5knwfxV7cV1egfgfmbko8Q== "]]}, "Charting`Private`Tag$26110#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[{{0.000030710567566166756`, 1.8258385324487965`}, { 0.0005393820480729804, 10.}}], Line[CompressedData[" 1:eJwdl3c01u//x29um+yWiCQqQip8Sj2vShpoUUayUmmS0FIaZGSUIhklMzs7 IpIoMiplZSRE1m2v+77fX7/f9c91Xud1net1rut1zus8HitsHQ6f5KTRaKc5 aLT/26VeJp7d4W0C2v8vBeKoLnLYP9YCrvkFQ4168sRzp21lULMdXmavcH7q JUsU/GTiKNkzSHpVVUc7JkOY+048tVG8iCW5j4qV5JeRB+VB/dqulzDQmp72 zXcpMbGbKgpa6oxJt08jJ7iXkLKdUnkfIlxx8vlkikHfIqK+cuvrcdlr0Hik rX9sfCGJ4LROXBVzAzlhSiMOSxeSxJXbP6/juYWgHgOP4NOSxPK/075nvW7D 5Ty9sjtcgkSpcec5xt8BZ15qjqSUBFEsmSgfb7iLsrSGFbNh4qRVzWun/1IP yHdG7xJbKU7q5YMX1Et5wnXb6ovtn8XIPpEknXcR99HVocnFd1CM0Ny35B9t 8wJMrZd9HxUli1KFRZYQH/wyj/4s9ESUnLe0zPSy8cWmQsEvSw1FiXzNsKpc zAPIe6Y4LKGLkleWHdti6/2wejBuctdtERKQKr76kGIAnJ5YWN6YFia7ZGJj +04HQo/zOxl0Eya3ysNE3xs/BNfNghFFAWFiduvPfv+Jh9i9eSakJHwB2aip 4m8W8gjb2z81uG9aQESGnKtWaQVBXPbMgoxvQkTK09KVpzcIq/U6XKLPC5GP x3n2vLv6GB5dfaUXZYSIvR1Zk7j+Ccp1tO+OvxUkN6qflh0teIJ3l6sXpl0R JEc9OzhXHguGc+OF0J1rBcn6rWu2D88Fg0Q8kLPoECBCE5fc30aE4Mmt/36b PBMgf1MKiry2PsXMGbuQJ0cEiHm9kYZlz1Ps67F2LRUVIJHSBpvl3ENB6tfv Xf+Dn4jqdqdNKj2DSu6R6w+D+YmRX2vum5JnmEkRS846zk9UdRUnPGzC0OK0 ViJhFT/hZ17ccIgzHGyZ73GsIT7SlZV3SSYmHOOJ+pX3CvhI8Tna676dETjT mB3/xIuPaDx+plAyEAEVpfWTTUZ8xLXlkcpdz0hcTMhQu6fIRw49bj67X/E5 IlbNyGhO8xIV/ZWJUhXPkbxu+YR+FS/ho5//23P6BV5xyYbeecFLrPLZGcXG UXC1D+imGfCShWseqpqGvMS3Ywfvm2XyEE7PbMN3PS+hEJQiYhLAQxgdjecV tKIxW7PR7OI5HlIVuiKZ0RCNJIvoNx+UeMgdviwln6WxWM3PWimWxE3W7n7k nekYi4kT6x/0+XCTb54OfS0VseBL2BTkeZabKNBVklVd47AxiS7eu46blLNi Veu/xeOVXJNVZCEXcdC5F8hakwBDVeXAkpdcZMkNG4binQR0pIT/dPPiImem ZTKvqb1CyaMGhBhzEaGxkE2yfonQG9HhyBunk5z1LiF7/iRCRDb5ZXsrnVg6 Gk1d2pyEcjlpS+cKOkkfFMkv602Cim6w4c9wOjnc661zdlcKuNL/8SnspZPQ 1us7c9hpKJz6F+afxUm2S5vFth1JR9BJVYM10ZykKcnl9YmMdNSM2WSpPuQk lV8EspZwvobjjeTrcrc5yfKBaydS173GLwEf6wcOnMThjOYq2q/XiJmduu6k xknE7dJfxWlnwil4QfvdfA5y6t5ys812mUjhbLKISeYgb6P9+WsDM/Flx6/w gUgOYvf73Nnpnkyktp4+LHKPg+RYrlbRD86C9+GiRzsPcBBTs5fpjJFs1L+P Dq0YopHhFmOBaKkc/NNSKxXropH7lnwnjXbm4EjLnuJbTTSSdcJBKvdJDtTU fkfHltGI8MWtnje0cuGoNvdTJYJGPt5tMue5mYcVd3OHKg/QiAW3f05eXB40 D/3jjdWjkVEvInqmJg8Hgz+dC9pKI3L+CR+rZN9Aslrleaoyjbg9dVF/VPoG ARM1DvV8NKKRIsYjzVcAl9jPT7b5U/is+tG6Wr0AE77HvxjepGCdcfXtLbMC WF08K3zrAgX/3HbH30kFuPXf6SLsp9BbktoSb/gWxckecZvFKDz/sTdj/eNC iGxbti01gg1B6o7F7uXFEBSUjvpTzkLoGRNLFb1ibKM4a30KWFCoV7EWu1gM pUZVF900FrYlNpxoKSqGk1qT0mQwC/mJITl5qiV4k8B5SvcUC4NGA4X6NSWo 9s7wNhNg4cirp1WXF5TC6GFwENuSiYjjdw1OrSiFm1Bb3GdjJjrFL1SbbirF 2uY/PdH7mHC4uaN26/FSiHK2mbprMuFzePAbb2oppD9E/GsRZqKIuaM53OAD JNQLBrhK57Dq0FDvhwdl4DJ4oKK9fg5S7rs3n35ZhoU9jnxflOYgmhr1QCCv DE23t7DOLZ/DLJ+R6qHOMkQEbsmuFZxDXUne5Tbtj9jivom+8u8srqvfYU93 f8Qdnd4f7S9mUSMiKalKKtBgxlowt2QWV2r+Q+j4Z+jf/9k1rTADYdWc7s98 laCtsTc2XD6DWH91vznpSsjF28UkLJ7BVwOlJstdlfB5+DbjgsAMlKskL68K qcR+da0j2xjTaK8Yjs/UqsK7HhZ6C6ex+32ccPX1L8jbVm60xHwai7PF2jg4 atEYnKrCET0FC785465FtRhcuGT3gogpRNt1V5Wr1GKgUKZEJmQKKgvz8x+Y 1mL7Eo40fd8p7HC1Dl74uhYH5c5GNjtNQTPCJP6JWh2U1VOV3ulOwcYy/vir tjqoPanbcrZ/ErmdO7/U6nxD/JkU2+kdkyg9G7nMbKAexrULZu8snsCE4laR 1AsNyBFP+WG6bBycM8miy1Y1g4demMyzfAyalHWuUdovlL49JSa+bRRfPDbW lK9th3v57EDkmRHIPuyfSRzqwFBZXWHyfQb6p9rbfqh3IpnD+BNlN4zYf28r hQP+wPjh30fZgYMQlkkY7urqQvNBcz6z1/3wO5NzKkqhB8Itf/oWNfRhkiR3 2bv/xS5KkJuk/IWzRln2og+9CCl71dHg0I32tLIHX1f8Q/kdT3bU607Mna0P X3O9H4+/jXf3S7TDWPP4I1X3fixepPXccLYNKRw99zd49CNpoZ/O8442WIZO Xdoa0A+r0sjfgqlteP9Ras+h6H5MP+L7tGhXG7zkbMavVvajxiT8Z/OlVkj8 HDT4JDWAnpaoP2FFLVDezss+9XYAzUr7FCSlGvE6KVmpsWQAWeTbadGZBmyU PHhob/kArl7Suj3W0ACdv6Gxyl8HcIJjbf+F4Abs91+rz+gZQJPJwl/rRRrg 1GQYek18EG+4Nv3qZf1A/qUnGn5nBqHzRkT5XcV37I5ecTpj8RBirNIPHVpS g42hworl0kNITPU6cbOmGnIBc13NK4bg1jZpctOjGrPXfthyqQzBRyjKf2b4 C1IP+ViakCFk9CUI9JZVQYJj5AjLfgh7tLTffz71Ge1WJbp7C4bg3BBdb+VX hi9HUumWxUP40bzJ++rWMrzRDyt1KhvCviaD0AtDHxCk5UwiaoagQUs0GTrw AbtEVusMdw4h6JTtrSNipUh+F7ghWHAY/KurQzZIF+OKjJX8b4vh+bnyUye2 Oxu2B9WP/rIZhqzmSa/+ndnYf4/Dt+HUMLSuhVkIRWdBsS9mpNpxGBs4FZa1 H89EfXZvSYHHMFRiLNZ9TUiHuoGT1ZOUYdzjaU6RdYmDtPvOx4EZwyhMoqWP rYsFb6ZkhW/uMO7uSd0R1RONtsV5qndKhjFy8fmon0kU/P7MsS7UD8Na4JbH mEMIri6qXn+maRjXQmsk09sf48Te5yft2oZhvPHW/Z0HHmFzOqk2752vl//T bJGFNxQ7xTiODg6Dq1Vq8OHmexBb+GfjodFhNJ5LWFu13g3M3dn2BlPDkF9t 2aYzdAm91z0jdjOHsc/p32eVJEv8O6ps/5LGQEDxn6qUz7qwZkhwytIZ8L46 5tOZfwY/fZjhEdwM5Ld8CnwsdwX6K7s3SfExsJs/T4Yr8zZKCqtrnwowsKFo x/3I757QPJp7ZuECBoYaRXsEJ3wh7+MVKSrOgOb5CyEvwoMQKu+oFSDJgE6s 1NSUcjCEC02/Ci5mgDnlnKZYOM91Q2u4eaUZ2HRfbslYSwTqjL+cZ61iIPus 7jpLvxioDBwRbDBk4POXrrvc41l4Y2xQ7HuQgeLzD2R9Y7Kxs2jH5W1GDIS1 x2Z3HM6BeYBaS5wpA8+cD25gv86Fjzp/svMJBpYPyWnXn81Hj3PhPvFr8/UD HXzLv79DFEve1zCWgfgn+2K188sgIcLgK5tlwMJ02aNXDTX4VuTrtZfFwBkf K8YBuVoEnV/FU0sxkDu2XLPKvhbileb0Zq4RiPuMTevMzMeeH1nDwiOok5VS 4Parg+hc2OiylSNY276GFhH/FUJ/d/26rD+CFolvNu8rv4OrODx9ZcQIVhQf Mt1Y24BmHd097c9HYLvhWaAbowHpBQMdYS9H4HzysFWyWCPMc7eKiyeMgG3R J1xk1IiM1HZnWuYIpNatTcv82QjLiJWbWytG0PjLs3iqoQlvriWXhYyNgLX/ wsvrn1pwbuPbJn79UeyrDuQ0P9WOkrofKW8MR2Eke63U4U47Fl5guJ8+OApF gfJTThHtKI5bpfjxyCiGly/M3fatHRKLHzrdth5Fyb1NjOvLO/B2xk5wymUU jVYdXVe9OiBYLLy1K2oUzVdGdX8d/o3kvbZR7yZHMWOgMOf9tRMT/VKiPSFj eHiv6uY9o27kGO2mP9Edx7KCLU/DCv7CfY/ni+yecfC9mi5Oe9+HFa37GmM8 J+Cxbr952LN+bNbyeLJUYxJ8OqzcPrdBWCyvneH4PomYTcoOVqrDmKj073S8 MwW2v6ia+k0GQrksnQ8rTCPN9pfXeqMRSLTlRHOWTcOkJmrkr9IouG/eMf7v 0gzK3VwMdy0aAy3RMr1TfBaKpbeXFtHG4RSW7i9eOotCyayQBvEJFCl784ld nMNX3zLvvq2TENvnpHJ3niMajLhrbrtNIeq9iOBmMSY+yzetNb47BfX/UvtG JJhYsW5zrrL3FPav7o23WTrPHTSNK38fT8GXx3LFdgUmtkjV3QhKngLXh72L aJuZ6NbeGVHUMoXJLStot04ywcV/pzIW0/DMete2yZ6J0BcD2sJ605BUtiga PMuE6IDiiJvBNDZIPb1+3JEJ3SRf+7Nm03CcFprQuTHPRQUh4fcvT6Mve7pv 7iETR6+oZle/msavdXXfrxUyIXPjmMS/eb540S92k17MhFC3ufSzef6wTTRS 9H/PRPQj+4X7V82gT6HhalQ5E6YdIryVGjOYXNYmU1HHxMqUnVsE989ATGDg tGQ3E/aP3fuLPGeg18PLTFvAgmxXoJTu7Az4Y/fGaYuycDh5OruSYxZfbB7s LxVnQdXmHc2MfxZGrcIvfyxmodO5athvno+s6xfqMVewUOHPL2KsNYsbpSsf 7tVk4Qn9zDIH11m8fg6FLksWspLf/radm8XY9TFeGxsWBPprJxvpc9A0Sehv PcHCVjOLP6ZCc3grIpLVYM+CV/Dil64ycyi/3ba9yokFu55JIxUyhxbbm1aZ 91lY+HlrXYjXHHiU3obdnufUyql+jnWyTOylO9xivWahuGOFpvgaJvza5W2v Z7EQ2OTXzbWBCbFQ3zXOb1hI5eHaI7GbCWl+8zenS1m4QUlrNzowodE//WP/ Txaab1sHrSpj4ni6ppgMmwU56f/W8V5jIdd8WriOxsap/ET6qCcLwjwFQvfo bGi5Gz4bC2KhxGIrXx8fG54v9mnppLIgL6BLZUuw8Tu5lT7QyUKP3aFBgzVs jPTWQsyIjW2iEv2UMhuJogU3Am3YePq2vjdTlY0mK3uetY5s7BE37VqykY1X S26k5PizkVRs2dK1jY2o4xkbN1SycVHq/Gc3YzauvPWrVd1Lofzjugo1EzZs lUfFXplRkL00XNZpxgadrXxg11kKdRVOJXus2Fj5aIJ76AEFDZdreZJn5+PK I4T/K4Wp2vtxKe7z92auo91cTyO3PV/e+ZXERrOLya+4HzSy4ArvPptUNswi NOMWd9BImP0F8Z50NmgXvkS8/DfvS/r/xQxns/Flmr5EksZBesS+lnEWs2Ea f87OSIWD6D+n8a35zsYf81f6rb4cpDHwVF3qDzbI+L9og6fz/nbnS6hGIxs7 nBSDfsdwkFt2oWt0Wtk419Wb6l7EQV6vVdc/8JcNZkJAQeQoB1mUZxXgMseG XqSrsc1JThLz6uPRWRYbIUUuOY+dOYl6mLKsO43C7nCLPbwenGTvzal0b24K lnzJi3xjOInbzsCv4SIUJEMc64y6OQn/polncuIURh1sSm0nOUmI4jHbOEkK TFfqeRbvvA/zK42lLaXg2HBYW16ZTjpr30mWrqTw7UrnMWsXOnF4r9Cqp0hh GzMoK8ObTpiZvnFVqykYRwrp2EbQiXcs48JBZQpDB7YHWLymkzWdAZcn1lGQ p70vT/hIJ9FehWwzdQo3Yp91mTbRieo1+Yo2DQpbD6rDeohO9lgMmfRqUYjY u+FB4FIuktorEy5sQEFI8NiAZgMX8Y70tG6b98BPln3c0uNcxO7w4Kq0QxSi 5wpMksW4iXRh4WtDEwpSgiGRf/dzE9/AY+V+thTydT6dC//GTVbvyQjQPklh /4RRF3uMm+yYWXtIxZ6C85L6p1VLeciM7WxL1bx3GpoKhtXb8RB7zWcjAtco cObtLNrOx0t0+2l5zTcoiLRdXb9sIy+RjbJ3S7o1n1ejm4fY8JKf/Nq8+zwo OD3VufCwhJdkvnvxZakXBcX7/NEfRnlJwGXeoD6fec81zF2up8hHdrX+lPYJ nH+fw89/po/5iFzQtk7TIAoFnt88FlXzEaZefMLqYArkXuO7Jj5+kv3aReNT GIWydvUMVS9+8vBk69TTSAptIYSdWMlPzkntKjodRcHjXV0lt5gA0atNuasV M9+/q/JHbMwFiLyH5B7e+PnzUlMfX8QLEF1dvUXnXlGwCPdnTv8TIBlr6oWM k+f/v7xDdsF2QTL6/HhwWBoFnlqv1PgEQfLQJOu4XgYF85YfYgk0IaIqyq84 mkXhvHGW/LSFENnz/m5vdy4Ffl9tJf3PQkTB9V9qTj6FkN/vtztoLSDvVYmr TSGFO6r3bFfELyCVAjdOxhZTSPsZ5sa1SZho+O+aPl9K4WDtuV2Wb4RJ0F6f D+NlFMQV9/QmaYuQi2yGd1kFBXW1ukG+OhEilKd3yLGSgqvdqebIjaJklX2J hF01hWYrv8XJj0SJ3urR3xW1FALWmtiF/RYlv74GPqd/p/D7PNfyJlMx8ub+ 1InvPyh03J7c5VEpRr5pXVKsaKRwKlpDP+6AOHFklA85tczPHe2Ygyd/ihP9 ONXsHW0UJh0U74+4SJDe4x5uQx0Utgu1nZxYJkmUynVdCv9Q856ncMC9W5L8 D4eT3oo= "]], Line[{{1.995231006039287, 6.082865242004943}, {1.9959157171960376`, 6.503980587974624}, {1.9965678230596096`, 6.989855881557991}, { 1.9972199289231818`, 7.605465098057605}, {1.9979784310066, 8.689933032930753}, {1.998488169062255, 10.}}], Line[{{1.9995237429707817`, 10.}, {1.9999656378224329`, 3.9443263873701473`}}]}, "Charting`Private`Tag$26110#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 0.018395679504112472`}, { 0.0003968027918627924, 10.}}], Line[CompressedData[" 1:eJwVV3c81e8Xv651P+a1EipbQlKkCOeJNJQdUiIZlZDZwJcUIUQlKSoZIXuP MjJLSBqyV7Y7kH0vv/v763md13POed7nPOc5z3lLXr5h5oTH4XADTDjc/9f9 ycb07fwB0OY3UHhtQRTJ7jyp/P1BIPRYNJ7ZOCKKqoa72hvO3oUN8Q9NLYUi yMPE0cAmPhjE94/hO3eIIGc9L8HU5/dg2VfjSUjBdjSwL0wvWiQEpgxMRjJ2 bEdxb7bXyV4IhYXT5g6KecJIVAXrzIp6AMcd/uzPNhRGUUnCq4cpYSByqzox YnIbmmh3S2FWiYAGxU1e4yfbkKutbVGY/UPwkp7hCNDfhqQ6KMoSqZHAQq44 eW9DCN0Ogq6YxiioXn56JPWjENp1esntkeUjmLc85dbjIoT0d6alTV+JgZd3 DIYb1YVQYPNL4qezsVAgFy/tQRNE1oFjRtFLsbCWfmDHsWZBpKauFG0d/xg8 9J4XCz8RREM8P235dj+BthL6s0UnQYQ3eLd6tPkJ7Nh13OLcIUF0sd0y8PPd p3B1H/FKGbMgShYyfvBQJA66HdeLD/QJIP/2542WVXGQNE5mXS4SQJahw3jp C89ghiqeMhUpgPZr7zlK2XgGfD2FQyxXBBDXkmfQh6R4KKQF8+rqCaDJnKrq MO3nMKW5Q6dPQgDVOzLTzAefg13RY3d9nADStuWwX7FNAI2qH9iXCX6EpB+I cR5+AXppX64mV/Mj86iBsoq6F7AQsXsqL40fKR+TWwqxfwmsNftNvMP5EUZz VzXFJ4JOSKbWlis/+ltc7rkzNRGmROMNY8z4Ue11XMG0XhI8eeSiwazBj15K nyKX/k2Cer52O00JfnSz77HSvdBXYEEV2q9K4EemT3tdjOReg096RiidyoeU Tktniba8BluucAmLXj7k8VSssN/uDRx0Wbj6rokP6TzD59kSkkFjgYm2PY8P 2VVuFtaeTQbnpTOBIS/5kNCeWOVz8W+Bx3FIVcmQD+FDSwxrJt4Cd50rP/EI Hwo32ZOqDCnASns4VLWbDw1q0SMfhqVAiDQX9+ntfOhrgmQ2tTsF4OOodSA7 H6r4p99qKZ8KR0d8LKVWiOidicv0x9upEIZ2aYtNElFcziOC9JdUuC/fzxLd TUTBhOLdESJpwP95W9rBz0R0ZMVswNI1Dfxjjzz/VUFEj5quxhv0pEGt2cis RDoR+TcaGrCKp8P77rKAvgQiEjB3sXzolw55NW9iWSKIqO0oB9e59nSQ3H9m nsmfiBw75bYPyL+DNzaEp93XiWhXbXP7e/93oKJzbTLMlohKDcd69nW/A1+P uUZuEyK6oXU/hr4nA5i7j3jv0yOi7f72VLngDLjEJTe5epCIRkUa1hO+ZcCX dlgxViCi/B+1vnkKmeAtz/qKfScROXu2PlCPzITEc9fvHOMloqym7eLyo5kQ mdpFEmMmIoeSip9LalnAo3tGIprCi7gW4w+KR2UBXnVbnMAfXtQ8oj47N5gF lxJDH8vX8yJbD/MVT833IPh9Isv1PS/KJ/FWNk69B0ejp/J+gbzIbCpcy0U/ ByyNXtQIK/KihAE/vdLNPHAl5kUrxfGgozus0wYt8sGrRO9Ayj0eNHP+ECsh Nx9EG0pC7D15UPqp7qpfW/nAwn0lRtueBwkJimj07SuAMlW8U4sRD/LinBbQ tS4Aar+MmhDwoGaFc42/QwrAxRr/7psyDxI1aPG5XlAAHmx9z6t28aAb19Rl cf0FMKVFiJ3i4UGN4em/4tgLwUfAl2i8xY3o4gtsxRqFoJWrY51F4kauLffV a2wLgTqD/107zI3KeZ58vBtVCHcfB6TyfOdGgmyXn0+WFgKjU17GN3AjK1/e xe7xQugoV7zFVMyNao6hVSJ3EbR90tdne8eNsCijwB+aRZCw+YpH9jk3cr6/ y1rTsQg2VdRXuyK40YeUaOxbTBFoGn3LZQngRlJeNTyE8iL4U6o+XXaDGzmO XHdZnWDYs80FDlziRmSihIgfazFk7n+2EWrFjbgkDL5K6hTDw/SAeJvj3OgS VPqXXSsGudjeDWsNblRqK690+lkxHCgdpwYrcSMBy1W2oppiWNX4/shXghtx OBwWGZksBoPV20EvBLlR1l9BgUOiJWC5mr92io0bsfX/Jb3SK4GCP5O7Mta5 0Dnrt/nU+RJQpo4lb7ZyIUrfWY4U0VIoCH25sreOCz2wJTiZ65XCcCyMB5Vy oWKHG6JlcaWw6ZTk5ZDMhQwmpHyvVJeCUhY7OyGeCw1f/f1t+0Qp1A9/olRH cqFbsxEKrTxlMLecoRYTzIV43LVD/Q+VgSiZ8O32LS6UTqUOKV0qg3Xvjvpg Ny4UVadczPSYsZ/39liGPRf6sWT1LKawDHwGKHu/WXMhl9ucVNRbBv1iUnG7 TLgQ00aNwQK+HDyIyVnBx7lQwn9e6amK5fAzp41tS4sLKePkcBZny4GDYzgg UpULeVLKAuh+5SBfK7Scp8CFChLyn9ZllAON/wrVT4ILLYQh4rWOcgi4+KGq RZgLRXD8cxFdKQe/RuuUbB4uJBGd0fRVvAIsBVNuZrFyIYeAw7o+xyvgieTt Tnk6J/r2vvMx540K8OKtu3f2HydypG3V4JMqwCYzzT95hhN1KiTwvGysgGOS PnZLI5xIQHRPpO5sBXSusOxp6OFEllgV+yxfJbjHcX9M/s6J4oqKduXpVMKf +z2DRp85UfdbvURLp0rIc/ItNqzjRM30Qo3liEpwmXd5+LWCE7FkvDepLKuE 31RXwaJ8TnQgh49tB6EK1Dge29u84URflJsutatUAX+fb/bx55zoUuHtD4HW VeDMe0PsZAwnii4b8hh5XwULMhU1XkGcaKout++d4QfwC1guCr/EiV7/OlW4 /+lHUOgwvBQoy4k4t4JtTuyqBX0Nlr2ilRwo+2FP+d5jtRBCnHwiU8yB+Irf sxE9aqGCOBJgmMOBCnXwl5ef1cKHkV3hru84kE5Wt0NfdS2YzMRdPJnMgSqz 4kvLleugv2pDUDCcA5HM5z6e7qiDeGsnkps1B7LIfP7Vm7se2ETrAl3wHEjW XW/NWaIeMsvwZgF0DFnjcyTOqdeDbOtg77cVDMl/tjI6faoelMwCCygLGFqN Zg7QsakHrhZX4+1kDO2Vck3d51UPKXUs+PtTGKJNCn+XCq0HinbBifIxDOm+ wpsJvaiHry1i4YWDGIowI3Wx59bDmtxnv6IeDI3Kn8/dqKmHT70OzBq/MLSt uv7n3M964Nx5+WLLNwyN33PHD0/Wg+7iQLbYVwyl7k74/Z1WD9pW2aSVJgzN 9N+zaiQ2QMVDlhzhTxhSeeL2p0ymAQxqOJbhI4ZunjhnnXW4AbInJQVvlGNI bS54b6JhA2x5n910KsIQS9HeC48uNQDufr3/QC6GDK5s77/r0wC0wy6tO7Mw FLuD+aJ3eANwvgwRdkzDUPd30oBTUgMwzeqbFbzBUMbzF5zW+Q0Q5hN+WDsR Q45aDUMGjQ3wR+LEufPxGJp/lzCyb64BhMP/nheNxtBhm/uXpXCN8GDK3jUk HEOBfO5jgoKNENcnwbl4H0OcAXrja0cawU5kH/ewH4ZkTclTDZGNUCvSd5B+ FUOJGLOeWXIj5DRpcN5wxBAxNzmSo7wRpi4Req7bYWidYK5sOtoImQv9lEUL DFHVc4L+rTRC/+U742DKwNd76nMOTxOklYsctzqDod4ntlJHpJsAZ/tYe/YE hjrryr0HDzeBbM6Fg6f0MNREJjYFGzUBy7yQZo4OhqrYF1mMnZvgRSmsJGtg qMCg4crnO00g/gSnG3IQQzLkSwV3Yxn65S/0alUw9PKdLwdvehPUUixFvZUY +fzZcaGoqgk6/a0NF3ZjKBQvn2vR2QTo3aDOTWkMraU3LXFPNoFEN6WyZReG btj2GidtNAE71+iXGFEG/ijVt8DXDI/vnAyS3oah81VRC6NyzXAT/zS0mg9D xlPjeg+0miHzbTO3DTeGjm2DZ3vMmmFmWOTbJgFDmscSJtquNAMJN6+ZycLA T8tBFwKaAZvlUovCYUgq8sct7WfNcNAmx+LlBgGJdKT2lmU2w9AbhfDaFQLi odEUz9c0AxFMs/wXCYhFwfI/+g+GP+4TMVoUAlqzyu9Inm6GuuQX6UyzBEQO JUgc22oGPkfpu20TBOSos9OvS6AFeLV7jTtHCeic1VblG8UWCN+0K9YYJKAO XkFBZdQCih2eZ473EtCtDg1I+PcFVGezbdsvMs5XLh3/QmiFiHcvgpzOE1Ba tErUxo5WUJlYiMNZEdD3M7t7bPVbYfpR7n0wISDFr4LesvGt8FAg4c+QLgEN tVDeFR36CieMpV+kyxPQiU/pPO1+beCU77IkucyOhEv4BpmYvoH882P4yefs qGxUr+2bVhd45TmkVI6xoXqXV2LWcz8h3P3at0un2NCSnDZvrls32DUnZ/9s ZkX4tWyimGwvXOP7m4LXY0XqW5fKzPP6oTnYsLKpnQW1hah1NCsMwZPt+sId F1mQeOzsWhZ5GHgORr5RHWdGsytDg79URmFYnS3ptDczSpv50MrzaAzQ3+6j RYt4xLMzg/L371+46xzwSuoGHkVdK3VOlpkAPa+AXs9pJrSMsv9eDZqEX7FI nf8kE/qYNpt4K2QSajUprI/0mdA9gpL5g4hJkFQR9SXoMSGezpxPqU8nIXtL bM+aNhOSs8t7PZgxCQKKTllfVJmQ5X+F5852TkK6UTAmK86ESivL20ByCiZn /U+W/MMhnwONJdsapkB1XPBK4kscclaTSH78eQqQeW3R9ec4dE49IJKrYwpO h/NHasTh0BFNtcv4nil4/Xm+oz0ah/C6abxk8hQMeH/c+ecuDsWYhrg0iU6D 4Hvy3RvOOPTe45iEj9c03Lmos3R/Hw4leSVzUm5Nw/Q+k84NRRyK9qEtX/tv Gpa8+sI95HHI43ZJu134NDg6BN42kcShQ3dl/E+/ngY3RE2Y5sehxhiW31Kt 06Blf7JoaWYLhvIaI79LzkBZbfTalxtb0ElimTuwewa2WfgeXb+yBXVK+mfi lGZgeL9nmtSlLUh+38RldWgG1Pdn+14w2YLL75qj+8/MwLnlOuPrKlsw8epz zOStGVgc1w5eJG8CKartKb19Bt72Jetvc9qEwa9c/2x/zMA7ekWFtM0mdHAY nq37MwO+301T5Mw3IS+8XfD+2Aw8GPP15Dq6CR4hHc8IazPQwe8obLFjE/75 dz4XkJkFhywHYn0nHTZcfibu8ZsFufc9i/tV6HBW/eJj5aBZeFYc5HRNjg45 TBMPVENmQeVMuUrcDjrYJqx4aj+aBeU4A9MGAh0+NYmeNE2ZBVeSO2/IMA3C JOz/3W6dBXl38SiPaBoI/Cad+Sw6Bw1sHy6P9G2A69ubuu3ic0DR+8p6pHMD Gl23DnXJzAF/HGnsXuMG3GTmk+5XnoNHAyzB/Tkb0KOitkbRnYMPtD0XCwM2 4E2kX7rw9TmIa67OzN++AYpH2TedP8xBcgKuQwOtQ8H77N1/6uagzXLvi1yV dVATNDE91TwHB3cMReAl10FrMiFN8fscbOoaCRkxrYNRtMJp6sQcvDm4d9K2 bg28egwT7vCTIPdr9eLKoTVY1l34NCNMAkMXiw49uTXwz4mfvbCTBCEKibFX BdcgJGhIR0eeBGFmk1aa1FWIl/Ucx+uQoN6ZnYWUvgqVnnEHoq6RIKksSGmR sAo6fYdt6O4kGHtvYRzwbwXqjw2EuvuQALcj5VvX0Aq0Csv1mASR4E7RQde/ pSvQX10eJPSMBE/z6A/u2q0AjqOv7XUdQ9+84s/HjGUI8Q5a5m0mgVKO2/2M mGXABqQlgr+SoJ/4dc7o1jLwF7h6O/wmwYWG1tEO/WWQsdwUkZ8jQexT4X63 oSU4kSJ5pVCYDFKb/PMDzEuglsAj17yDId9oSOye+gcSjzb+9kqSIcks7GRw +z9Yv/PrMosSGQpu93sOPvsHuaYRtlaIDFdEFSyeSP0DAaZ5C/pVMggivKCx wiLgVgYE+d3JMJw2YnIbW4S5udYfct5k0O+Vz1GdWoDmP2mmJv+RIeDg7zCr tAW4U3DOMPUxGeqnh0WIwgswZFd37FQVGby6AvkWx6jQZpHLbFtLBtOhlQLs AxUqTr+s92okQ/HvQ5cfPKbCk0M+KKmDDAdIUilpWlTQ55XXooySwbN2qkJu GwUOsAptME+RoYrinbRYSYZdG0xV20lkoNaRmsxtyLA60XdId4XMqLeRbflJ JMiuiVF9xkkBifuK8v845iChJGAhi0gBNbuR14GMug95f62wRogCHWt21jaH Z8E2Xm/flDgFeOrNH1BtZ4DPfUXhiBoFqhXtjZ7FT8GtnXZSIzYU0Myt37GV +Rcum6hY9ttTQMG0dvCjzF8wus/0sNuZAv1PsuM8Xo+B3HTqfLsHBYjpmso5 kaPws2SqriqEAndk0jKQ4TDjXXrZxeVQwObgDt/rA79hR5De05hCCuzXu8MW EfcL2IsEWx6WUUB1vfaazMmfMChcrhxcR4Ht38fX7dO/Q9TYBt3tJwU8V0/a a9/5DLe3te+/1kOBi3O9y24VTeBw6rWT4yAFyl7dknuwWA+a+aj9/BQFolci BitqqkBulI/JkkQB/YX2YC2pUuATGlMzXaDA0OlfZw4x5wPtRMnVMysM+xRy 1p8PqTDlF5p0gkYBUZLLJ5mRWJixVLz6FkeFkp7OEfzYTbhEFcCLM1MhzLX7 5X3TJPgdQUtMYqVCnNsm0cIrC05Ljx8UJVDB8synRo8LRVD3sf3bcw4q6LoX ioitl4O6Zdk1IW4qOIdXu22LqwapiLBXRH4qhN52GZw93widZ9tc6bJUmLD3 uddP/QnHySVs/vJU6Hr/xSfwyG/4GPYqeVWBCtcvb5d/dK8bMqrcfy7uowJl /BbzA9ZeCJTg05rRoMJlMSHTwP5BUJqz4Ow2pELn5kBiwegYVJw9U/vQhApq Lo1DCt5/Qa9a11vHnArq5wJeHWUah/OP9vWln6PCLE6p02bbBESoYNk+DlQ4 G0U9ul12CgRfbNnKO1MhSZEZ6aROQTLTMn//VSqIUV9ng/g0VHSN+um5U2G5 oEhwgzgDEz4fDfjvUKEsQU70Sv8seA0UbTb5U4GmF1N3x2AO6PpZRXcCqaCZ eei/srI5EBSOFx25T4W+Sme3XxEk0Ku8MZP/iAqyReS+UjEKJNOlHhqmUWHP 7euVq+tUUHIW0WHKoIJb+c5PAbLzUN7Bu1CSRYUlS5m9Nsbz0PGGZr0jnwrT ip/7j7ydB/rR33tmK6mwgpf3GNZegPMPIr6Ef6PCeAnzYNjFRZggB/2n1UWF i628vEZBi+BpdXM/9Sfj3T5yH01OXoRweYcXVr1UEIkRVlkeWYSyVq1rcuMM +xZm5WQ7Rn/hpRIaGbgSuG1FPp9cgq7qh2Gn6FS4deYLKfzyEjxxlWX7tkWF fO97gUwBS8Dfep65l2UeAll+8IvnMeTQJjqFZx4ykC9hH+8yEDdeLohJz4Of T99iStMydGYd9HzLiLPKsq3TrW8ZYs91UuTk52FMx/QQfn4ZeMtYSfv3zsPp G7dQpNgK8Hh6TJ44NA/qewkP1N1XgGtSv9/79DzwGf3+nsaxCm3Phs+vGc6D YeZu1es7VyHqmH9PoMk8MJ+Oj2RXWQXOlILfERbzsNM5oKjx7CpwXBT7/sZu HgqvEAQvJ60C4Qe16av3PJSw+9EyZdaApTYxXzppHlQeJ37v27EOvVrHTg69 ngdTFwOXZKV1yK+aG37JuIcCvsRmfa11OF+mzc+fwfA/8jJS7cI6FOYO+eCK 5sHDd0w07/k62CZJaw60MPyTZf67xrkBFXeyG+MX5+HOfqcL14Y34NGK+UWz 5Xk4xTR3iz63AQ6+tCXutXk4rqYr/N/aBiN+w92hm/MwaLezD/hp4HSVEuGN LUAIMt3dq0sDfitVYxPxBVDYNJaPS6bBdbUPPdjpBbDjapy5b0yHus5fORWG CyBVMiv0yZoOQm7UoCsmC6BRuiuC6kCH2nRZuSaLBbhpwd4jd5sOAsKxXncv LcDqmZ20f2/o8GHNkXPFdwF0RnLeqZHowFnLo/03eQGEc7wLhII2IfvU5eSa 5QVoCzb/8Sd0C9SUJHVgjfHvEIKimKK3oIZnuK92YwFiRBvKpOMY89uPi8Kf cIsQfJDw9GzKFvy7aP2ogWMR1hF/17WaLdDxMgn4vGsRAkcOa7gtMfRf6pzr Or4IflPac08Z8+XSrChxIn4RtJqufvn6GIfiXk22JL1YhJiP2+dXGPOrqnFJ kHnSIojKkHIlE3DIs8iQUvd2EWJviq25vcYh0u27HYk5i8AT12868x6Hxlkn okzrFyFV0K3dtwGHfokXYtWkRThQ57C6uIBDpeYnmOOO/QORH2n7zM4woaCT oW9KJv5Bfw/1s+kYE5IcMPiTGroEupkNT1uu4pHmoZA4kQPL4PVY+lUkGY9s dn1bY/qxDBVhb5IjHJnRUmv0qEfwCjhL9VKlhplRAoutj5nMKjwi7VOhmrIg gcHSFHzjKhyRRU0S9SyI9b/gsxqea2C2L856WYcV4bJs80f518GkxegnSyUr 8nqZH81fvw7UcyVfV46zoWrFcAKf+wZ03et/JT7ChvgMvJTu8dAgS0JLtSCE HSV/4uXU5KPB2nTw3ZwwdqSikTs9L0CDkqPjUe8fsiMj+al39iI0kOUtic+N ZUcP2Wwlj8rQ4IWNcm17EjtiaTi1DadJgz+ipb53StnR8hFJXKATDXi9MfuX U+wotLhm8OBVGqh2a2Kjs+xIUNGmmuRCgzr6HyslCjtSFX3ud9GDBrW8nfgv S+zIY5VrScufBnHb+GSkmQloumR1eiOWBmzcU352uwiof2/njzsfaUAe/BIs xeCPb2b5/mOupYFWBptKFINfXs4yl4v+RIP9ElaOqwz+OS3TfTu5mQZNNwqP 9zkS0LLY4M6WThoYn29ZafQiID6OuSuC4zRg+dExqxJDQD9b9vK9nqQBKy6k p/0JASWE3qjaPUMDTFUh0y2egC7oFToUztHA/z+9EeJLAtrFtMh1hEIDBde4 qPJXBDRao1bWOE+DI9NWhfZvCSg94Kad0T8a/PIfsORNJ6CrmhWEP8s04AyN CKnLJKBTJ03Uj64x8tGg+lE/h4C6nMZ/c9JooBtm/MymgICKvP9j8d1k5NM9 OWK6mIBu7q/N3cTRQVklSDqrnIA0KDircGY6jN4S6Lr+gYBoObo4fjY6xHBE xR2oJaBUUWXZjwzeUMHa/UW5gYDuyzebyXLS4S/x9Pu2ZgI6PsFOy+Omw7sY TtrrVgLC0k6lHybSYYqYIuPbQUBt9pFG9fx0GDF0VzLuIiDzAZ63v4Tp0Nos t8HD4PuXfgodp0nSwffH2bXqaQKSeWJFCZWhQ37snrclJAKaNH6RwLubwXsy 9Pvy5gnI/euOWSklOhg//0zOWyMg/3rp2FPqdOjfPe/zF8OQzl0njR+H6eAu 3d9A48YQXidj1OYIHejMQ36i/BgKr1Q46IHo8Jvpzz17UQydueU6uKbLsA/V pz/chaGFv1bMafqM/NSqTlCkMNS1QFHhPkkHx2yxW2Q5DMUX7O+NN6ADNqT+ RU4RQwW2N4m1Zxj45KO/1iljSJtQ9D2E0Scp3Sa7nVUx1PAi2fSsGR1SMRkT qcMYSs04HFR9loE/XYKuroUhZyc/+RNWdChBZh7hCEMK0h+/dzL6qkBI7ejA MQyRhul+523o0JMYfu7wKQy1k59lNtjSgXaX2mhniKH/Ae7ZL4U= "]], Line[CompressedData[" 1:eJwVkns41fkWxvejkcvvsvdIkTA7SUc6kglDmrWUJNNMm5BrKBWOS5zIbVey QyaacikURpIxbk0XlT1qJORWSSa3zDHonClF06TC9zv7/LGe9c96n+d9389a uivCZY+SQCDYq5j/71rjr0NcbQlkP20YMLNgsOL2zoHRLwkMOQ/KMmwZDNcJ vZ/oSsA0WvfgaCKDk14/qyS7ExjdXHXLMJlBaUqRs7IXgdJrn53XyGQwVvdy Y44PAaViab9BLoMPW6LuOPoRaNLgHKoKGWzzla3pC1Dcz9kdGCljMEn/XX11 IIHe1UKV+bUM9t+vuxmwj4Djiyu5XTcYfFXU99AzROHPfLL8ZCOD6eJ111pC CTzrcpcVtzF47PpWI48IAt88az1n9pjByoyKaecoAppLJFnWQwy+sTJbNy+a wNr5U26B4wxOdNpVZh0kEBTie3rNawZLM69YBscTcFj2Q9b8DwwWGt679CGR QONq4ZZPlFicfpBysfIwgZAQydhxhkVJguMFv6MEbLfqZRgvZLHcSP17jWME Epscfh/VZ9FLmnEuNp3AuPaep2fMWZSvzM6yzyFgb3ZAYuPNomav26npMwT6 t+hbFu5hsT23ZUlnPgFBoyFW7WexeVXfCd/zBCrfSqR341lMnHDS+ryYgKr0 wnE+hcWYZJ+0uyUE8jeV7PD+jsUHpvopMRcJfFG8ulRSwOI/+oeTjcsJzNYn Pg4qY/HIse+TBisINDeIrPMus8gdVHEKqCJgEJQWayJnMT8oTGO8RtHPv36T 9TazqMEXnHf6ScFjw5zWgkcsXvnK+sLrqwRCB9LzkgZZXDW119S1TqHPLHGf HGexw1R57YebBPSlFhEFb1jUs22015MTeNNaWW08yyJfYQcbbyt4urpudFfn MGqeVUbqLwT+qF+67ydNDunbc25sE4GHPk9mtog5jM1v+21/s+I/lsQ5/NuE Q+2nQeML7xP42F9TP2bF4SlpbmR8u4J3+57lLhs5dFAJuwpdBE4o+xX9KOGw oTIfSh8ScFnOdLr5cGjl0tqm+pjAoTkdD+0gDl8OFHJdTxT5fCPJZDSHgUkd Z82fEqhNP1w2m8ThVJR5QF0/AZ2rspj/ZHJ4KPCsse2Qgmfk2PSTAg7V3cnU nWECZ8dmfNV+4PD2cM/alBFFnjLfvut1HBpatx1tGyVwQLdcNnCXw6aYoLSI 5wTCz8axX3ZzuF43d0HP/xT8t+s17R7msI2bHfB4ScA8okNn1wSH7jSgdOgV ActzYXe+neHw98mW0F1TBI6yTlffqfHok/vXdPOfBGQ58YJGLR5F4g6bE+8I eIgb/MgKHo/f+3Bv8r2in1cXJywseVxU55cZPUNAe2r6rusmHvc16RblzRHo CBsx2ufCo1m+yWeHBRQkqt4FGwJ5lH976vm8eRTiN2hbqh/gcYt0uiZNmUKj f6xcVcZjb7hvLKdKITAlMwqyeUx//3l9tzqF8redOvvLeHztbKymxVEI7eou i7vG43cnW3i5kMKJG35rnVp4VLP4K0+sQaFba0V31a88NjS0D45pUnCM8Trz /A8eDbR/WblSi4J9QY95/0ceUyOvx4YvpiBmHS59wghRsvne++26FLy2Lb7C iYXY+vJN8g19xb14zPH6GiEu/liTPSimoKsdY1lrJ8SRBw2ajcso6NsdL6vb IURmE/PjxeUU2k4bd3ruFaL/6tJfQ40psAPLhoUyIaaVToZJTCgIZMPbVmQJ cWGuu+WTf1LwCfbsKb4kxJJUOfE0o6BkM3khUi5E0ziDlmfmFPxXekeXPBJi fUjayd0WFGarV3RZPxeiuEk6dMmKwqE72lWCGYW/pZOegzYU3AVKlTWMCM8v 213ssp5Catqtmz2LRPjKTHw5Bii02izcWS8WYbxBStyMHYW8F2o5slUiHE5I aAF7Cj3+OeFeViLMVnZRV96s0AcX3R60F2HVf/UK+K0U1t1PaV+wU4Rd5duC o76hsGSn2lxwiAgDXSaWVztTMPnqyK2UBBGiitsLqSuFfv+XHk3pItSVy2u/ 3qHg90h3/fZ8Eb7fbxij50Wh19toxLlChJ8aFH7xqS+FReL13kfqRVjd/6fg Zz8Kwggjr6h2EZ4uXNA9G0AhoTK1Yl2fCP8GF377cA== "]], Line[CompressedData[" 1:eJwBYQGe/iFib1JlAgAAABUAAAACAAAAJB2lTiWN/z8hq7F6PicSQEXd1hyJ j/8/1xLtTvw+EkAgkj7iWJL/P8v3lUvXWxJAgE6CreCU/z9tuz1+3XYSQBb4 H2ocmP8/l5LKaciaEkC0sHUyyJr/P7/8JN90uRJAUmnL+nOd/z/M3khqrNkS QJDRi/NBoP8/mA1yMaP8EkCEy75/W6P/PzQXcXFLJRNAIoQUSAem/z9ZFaHe 4UkTQP44fA3XqP8/T47PU/ZxE0AX6vXPyqv/P3ED0d2anhNAtKJLmHau/z+p 03jLwsgTQJBXs11Gsf8/6SCjwnT3E0BsDBsjFrT/PzR1mXKBKBRASMGC6OW2 /z8RKZkWdlwUQP8qUnOFvP8/dkfOtVLNFECc46c7Mb//P8wAAck1CBVAtpQh /iTC/z9FauuonU0VQJJJicP0xP8/i63vl62UFUDyBc2OfMf/P0CXsnUW2BVA vmam6w== "]], Line[{{1.8752313690556592`, 3.324454307709893}, { 1.8758574006209332`, 3.3275137819792517`}, {1.8765163812159587`, 3.33075927893219}, {1.877175361810984, 3.334027984389449}, { 1.8778343424060093`, 3.3373171655010787`}, {1.8784933230010348`, 3.3406293918005194`}, {1.8798112841910855`, 3.3473196621072323`}, { 1.8804702647861107`, 3.3507042848463935`}, {1.8811292453811361`, 3.3541150052986515`}, {1.8824472065711868`, 3.360999930030049}, { 1.883106187166212, 3.3644820682007714`}, {1.8837651677612375`, 3.367990216951321}, {1.8850831289512882`, 3.3750856047349393`}, { 1.8857091605165621`, 3.378491906035958}, {1.8864010901413388`, 3.3822914407949645`}, {1.8870600707363643`, 3.3859335346116257`}, { 1.8876861023016382`, 3.3894194177109553`}}], Line[{{1.9636536376298386`, 4.2695045811084285`}, { 1.9643057434934106`, 4.287254382593547}, {1.9649921707182232`, 4.306472143581553}, {1.965678597943036, 4.326223659262931}, { 1.9663307038066082`, 4.345618268052938}, {1.9670514523926617`, 4.367521961911652}, {1.9677378796174745`, 4.389083669987059}, { 1.9684586282035277`, 4.41254510762932}, {1.9691107340670997`, 4.434337815207852}, {1.969762839930672, 4.4568615794185416`}}], Line[{{1.988443956853951, 5.74486881546689}, {1.9890857663091506`, 5.840923083961666}, {1.9897035508114822`, 5.941914727762441}, { 1.990389978036295, 6.065415054419916}, {1.9910764052611079`, 6.204030344898224}, {1.9917628324859205`, 6.3572726721338855`}, { 1.9923806169882519`, 6.516490465587311}, {1.9931356869355459`, 6.730062115328113}, {1.9937534714378775`, 6.936502947229884}, { 1.9945085413851715`, 7.238123177524316}, {1.9951949686099844`, 7.5617734506625265`}, {1.9958127531123158`, 7.933531765856147}}], Line[{{0.002172844823760044, 10.}, {0.002422951164257786, 9.61447829861332}, {0.0030976856915297816`, 8.775478560247642}, { 0.003680410965082868, 8.274800873271605}, {0.004263136238635955, 7.8856910463285645`}, {0.004842794537065078, 7.542344545994966}}], Line[{{1.9995191414543783`, 10.}, {1.9999999591836735`, 0.018395679504112472`}}]}, "Charting`Private`Tag$26110#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwVzX881HccwHFx6+fQZOvz+Ra5dX7s5leXulh6v6cVoUepxypN2DmimbLI ijXkoWPz6CdqrJrcdXec+/E9Sjwwk3lcIr+KWKsLu2oq0g8bWvvj9Xj9+eSK 9m6JNjczM/v0bf8/crBqqcuNi7BP/YPAoZ3BjNmscw4tBZH3tsVHGxjk+5+Q 6PaVQoBT0dJADYPjQ2MnefWlEPyCGzKnhMFQseFCrbMUwjpU8QePMcizcC1z PyCFpO/jJP0ZDHJ1nWzeZSmMBz6I6TnAYHK6KT6DJ4ObQ4lNdWIG7eubbyhT ZaDfUR8t28bgbVXMkW/bZNDt7svJ3MDgxoE3Q3rBJYh8yW997s0gSf3ymVPG JVg8PfF4xI3BjrgZsvGuS5C5y6ZQzmVwR0DYrp7lcohVsKPqBQzaCCdtLmbL weDhOdkzi8GryXf2t/4hB4HJ6dgv/1K8wstI+3iJAgoyH7fLxij2GUOEgrMK qHI5L7YzUqxcllwQ8EAB08MR3UG9FMP3bX2V6KMEkfFu7VQrxYURz8shTwl+ nyQYYhopqkesq5tMSnBxDHk0WkXx0I+Jv60UloG91XFzfxXF9esT1gSfLIM2 Tu9l/xKKZyZM2cVjZRArjLPvLKC4xSRZvWddOYj9ugROeRTdheVF6cfKoZh1 NMmzKJZGr5uufUt2Kxyctx6keFzM16V4q4CvTBGcT6T4wjijwbpEBU11sQ6L Yiie495z8J5QwWp/r/u/hr31I+syRJsrYLXENvfEVorLIy6usCuoAJ/CpwsD gylmvcq0NDysANtlhp0Vaykuqe35Jz9cDVbMcMSgkOKjncJ3ZqvUcOvVuYn3 PCkaWueyxFwD7k+CN5x2pvi+LfXu99DAI4e77FV7it/Me7jAL1QD+tcpVn0f UGzm72i6laWBzhwXuxorikzg70lfaTTQYpGeeH4mxb1xKx3NBjRw6ylnpHKa YJNE2nN6lhaSLLNPDb0kSOS22R8t18JPRee8+E8JNgyPDW/J1YLscR+Zd4+g 7UxR4V+VWrhiwcuT9hKMc+zwT7uvhZsthne3dxCs+wxfz7fUQdqifnOugaCN WC2XrtLB/BQuO9VIMOaIfaiPWAeeRqHydQ1Bxdh1Pf+0Dp6NGBIi9QTnN05W R9XoIEt7/cyKCoIHTrjVFxt1cKhdtYmRE3Svin5z14sFH8l+t9wighYBDy9s QhaKObNzOs8SjITq1Ko4Fq4Q6yjpKYKV4S6uQfksfBh7eNQjj+Dcw4UDfzaw sNlSt7Ejm+Dn16SikicsRLZdG/RNJ6irTfadQ/TQGP+3IOQQwZkDgyM/r9VD wJqgIY8kglFd+hbO13qQtXsZdicQlPmJeC+K9bBqyve7rt0EOT6CN1806+Hw 9tvJriKCe+ZEcfJH9OAgXtl5J4zgf1jt2PU= "]], Line[CompressedData[" 1:eJwVWHc8lf8XR5TN5T7PLamQGW3RkHNQCSkzURlRaVGSSgmFKKOQJDuRSmmg ZO+9Z0Tf7HmvEcm9+t3fP8/zel6fz+d9xvuc8znnkT7lbHKai4ODw4L9+P/7 Es/6a51mebDb/NKBtFM0TJ/9NOV9Kw/4PUT079vQUOCf9wndtflw39rJ0sOE hpHnLKxVDuTD67vtLyyP0FC2RcWW4pQPoQPph3YdoqFmart9V24+7AlQyl9x gIbV4mmnCwbyYUvHwfPz2jQ8lahb0MZRADFbnFa0IQ1H+kbvl6wuAO17uXr5 GjT8mhqRkbWpAIxUg8z7d9GQw8Zb7bV2AXwRFm4dUqPhAerFrOijBSC1xoJg bKdhYOXRnSHnC2BftIHm4hYayqvctrxzj71uYr7XaCMNJVRVdruGFkD+tag4 aWUatneYC59JKYBrt+c1CUUaJsdyalhmF8B3GyOqhRwN3RzSzh2qLQDlqe3K cTI0XL5ycda5vwB4Hb3uGa+joWMMnN78pwAWzot/85GkYcHVt7CevxCqCiQV llbRcIXS0wJibSFcd/xns4VGw8M93lq82wqhuLtf4yyVhuFhF4v+7i8EnpRI zyQKDb8ftNCZsCyE+v8q2/qFaSjyI/98j3Mh7N6/RP9PgC3vk8r+Ju9CuL/1 veFlPhq+c6SVlTwphMgYv9ns5TScXcOlm5VaCI1mb434uGm4p3m8PDW3EJb9 R9w+wUnDNdkSR2LrCkHUFc5J/COxYm9RZfBAIfRd7d8swiRReOatvvdCIbgc f3D30gKJ5q+eVl8VKoJri7IKjXMkyjnpLJyRKoIMzzZT81kSXZ5yZx5SLYKf 8ZmtBVMkxmVFJOjrF0Gx28mhkUkSnT206/eeLAL95bsKbo2TGGAy0bQirQiu Nz42t/1FYi5T+/vzQ8VAbutyKqtj4xtPDhc/LAGdzb06dakkSobnGeyNKwGV 8dLIFykkiqbFP+TPKgGls/sz/yWR6Hc6YyCyugToygrWuYkkut95KnemrwQM 464+kY4nkaH21nN2vgSedHYzfsWQeIZe0HlXsBSecZyISnlOohXvi1VGsqXw qDT2LPmMxIaCrKs9O0vhUiJR1BvBxtvivfRngL2+fjQo1Ydtj/X3I9GLpaC+ 8lyh010Sz1dHthbyl8EvlQZ6jxeJnZsbR+YVyiD6UM5onweJR4YHdPw0ymA7 4bGx9haJsvH6AeJhZeA5NPJF4iqJdSJU6iYsh0erbzfKnyJxX4WiU45ZOfj5 ZazaZEvilwtlma4XykEsrPsIlzWJ756t413pXQ7nU6jK08dJXCtev1E2uhzW jm1vtrMkMfJ342vrt+XwOlxD8bsFiULPnGfI4nKILkhsyDQn8Z6xj+HLdrY8 TcQqUxJveP6IPTjB3n++bWWZMYmX0tQYY1wVENbnM1h0hMRTXSFaISsroF/T J6LIkMRjfCOh2zZVACNry79iAxJr3vp1je6rADvPwcl3eiRqn36+46ZlBYDc h4VaXRJ3hs36STpXwI4pIbPW/SRuLDTsyPepgCcWlpE9OiTK0JOV7KMq4PHr 2vBRLbb+Kd/uTb2rgFCO+i0UJFHQwLImtbQC/hhIFa3QJHE+WcCZwagApd6M jSq72fraSFXe4amE+dxDN6x2kviLK4+iLlkJGrqdLy3V2PpZX/7soVsJIqIc UUHbSCwKrOSRPlkJMxmk2estJGZly1iUuFTCRq94lYpNJL4dvvXqrH8lPOUI 3jOiQmIi2brAH1sJLS+Nq/iVSVxZP2L67GMl9L0zNT2gRGKgy/1o48pKSM8w nDJTIJFLOXqu9wd7/9u1U2FyJBr4VTtdm6mER7rblPPWk6hhuceuhq8KFGse fOmUJjEpaEvgomQVuDDDFPdIse0tksvasKUKnkaYH45ZS2LjIYVO6/1VkH/7 8rE2SRJ3e0tyBx+rglWFDml7VpO4JLBWvuhSFfB/ng64vood3yhuPOVVBV9T g/J7aSS2rFnkJ59UwWK5cosqyc4Hc/KJ5Zsq6LjK+m1NZfP5QKDAP68KjCV2 KlWLkTg54ncmu6kKZLae/rGeQqKvHpfQ+GAVOLmLhXiIkBiqMIbknyp4LLVa dqUwiR95FyyPiFQDx2iI4A5BEnvL6ckf1athjZzl8mleEt0ULhj2G1SD0bcN VNMVbPvuD84QttUQEHXU/TMPibsO/MCb/tWQUedte5uLnX8vjw29jq6GdP67 b//jYNvD0xLUnV4N/zbuDj/4j8Cwkqrv0FkNshY/30kwCdwge8D7ykQ1eMom yPr+JbDgXqHCC84aSHG9IDL1h8CjfRp1LUQNGDRz+FvPEzih/cV1+YYaWFrS nKz5TaBP4vbVOzVrIGZy7zqNWQIluN4XnjOpAd8XHFZp0wSm221wfH6mBt6u mTq+borAa+PKD+pv1cAOpwLbO3QCe6SkM5aCa+DCm0/DyycJdPWKPr7lRQ1M 0Scv3x4nkP8njetUVg2Qf+jSM6MEJkDYq7DqGthqfij+/AiBO+OEj5T21sCa 2dnkviEC65YCfs/N1ADc9vxwcpDAxVwvbSvJWqgrvCZs3kdg6Brm8MMttVA1 Hq7c/B+Bih7XQ3L31UKOWMAR458Emms4dUtdqgUOZdlrxj8IHH8+ctfEuxbe PotJbu4i8O6ig5LPE/b+MNvwo98JfJ993G0otxa2SNf/sWkn8IBEu+Sqplow 8XPNGmglsPumSbH+YC1EmR7ddqmFQJfO2nO3/9aC3vvOmdkmAtUd6h+mi9TB qGv/9QuNBMZHlmT2ytTBaafsSt4GAtX+wEmKeh0oWxstD68jsMbi2zIdgzoI tbvGI1VLoH2W2mtXmzpokTY7kFZNIO0zpYeTsx5ydhh47C4gUK7LeUcNUQ9p HZGcZXkEJjoMVJep1MPruCeqyrkEqhBfvz48Vg/aHyoFpLIJ1HazfUKk10NM eFgo+ZktP9oiOXxzA3A7GrSrviLQzjr55KueBni40/+9ymM2//qrnz0baQD7 yZWjxSEEJqs9ankw2wCfK03qjwez/SfsbnCJvxHctj9tD35IoPDipJ810QgC 2n8eKD0gcOuQfdERqUaoO7KmusSfQLPmDhYqN0JQLp+n3X0CdfXiHNvUG2HH pKFJpS+Bz94Uua7XaoQ/xuZN0T4E5jxVT6ceagTLBPegPfcI5LwsrTBv1wi1 oq75t7wIDJT6Tc0JaoTXQsKSy28RmPlLp6ZeowkqhR2SX59my4tJcubWbYId Lsn3rjgQOPcujzxk0gTCDkuRK+3Z/NzaZVdxtgn2xi3TCrAl8Iv45rmC0Cbo wBeBLscJ/LpPQurjcBMk6blLOhgT+P21xf7LM03wj3uftJwRgX9Fn5zftNQE XP66xYOHCdz9QyTjtXgzjGnd6r5wiMDsazz6LzSbwUVLVNJDl21PMuNqeHgz XK9+NPNtLzt+BDc9M4lrBpk5tWN+GgTeWXsQo143g/xxuyStPQRKdr7qq/vc DHar3pZL7iZwLwzyBuU3Q7N+WcPwTgLz2rtifEeboUTL68BaVXa+7V1VrPO7 Gah3T/wb30bg0oujw5wcLeC8LPdEzlYCNS83brtDtIDhw4LLJzYTmM9bXu6G LbC2TCw6cQOBP524J1QNWkBph3z0NSUCOVq1xGbMWyC0rer3QUUCMSHnhPOF FkiPL5WfkmPLO76GI+laC0ze0J1skSXQ65J6yphXC+gMWB9+vp5db3Z9nDob 0QLDX0f36Eqz8ePopHxCC1TKj/OtlWLjL9+o0f+mBYTNLp7/vZZAqYvn7RIz W+CzYtBizRoCtZpS/GwLWyBDKFnxpSSBp3YOvFlb0wJPSqWaPFaz8zVWprG7 rQUO3a6cPSrBjn9u27mo/1pAo7ogbcsqAldPRdl0jreAgVPoBJNG4KeRCxes 51qg+ot39R+SwCTH3d/sOVphj+lZnyGCwPAhXoFz/K3guqXqfBuVQN8z7VZO 1FbY+M26r1ScQLeBl6+vrm2FM7JfUjLECDzj4Pr3hmIrCJh+rXtJIdCiT1v/ zrZWyPfn04wQZdezYeGeZXtbYaXqn7ibIgTu+q93xP9AK+y+NPLwhjCB9wbf eAgbt0Jzq8zTE0JsfXtvB4RZtcIq9e1aJwQJFLQ26Ix0aIWimKTXhwUIZHWv Uop1aoXyzf4uWvwETh4fvvHiRivUHjwcqcpHYL2l78p3ga3Qb627uHoF2/8d po6fIlrh+p216qLL2fXaQubLl/hWkF6X+I6bh10vzfMtij+3gtAqDxE6F/s+ MF6I6OhuhbFzjiXlS1TsPniJWLaxDcIpQf4Bc1R01dKU9ldrgyej6VaPflMx 7wB/hpBWGww5Bup5zFIxbl+K2UrzNtDwf27uMk3FU/hf2EaPNugpYWnaTlJx WN1c7FhtG7jnd43qD1Lxt/xekbRL7RBvMGh2rI2Kmr+0yx/caIdutV+qB1qp 6Bdz0NPxXjvYylSdUW2hIkk1o69/1g5L0ce/UpqoqMZ5oT6qpB0Srx7ib6il 4o2uyBD/1R2webqsz6qUisyQWRGHyg44+/hdxcvPVORaeCO6Wu47vL+3Pet3 GPv8P9tM03fdMHHPya/nGBVrfFTryjb0Air9YtpJUXHdo7GF1Mmf8OqfjOuN PnEcm+/tad3yC2gntJK6U8UxafRblXBwH0SxUvvUz4mj8JoUen9/P7zq8gwd kRPHwHMZZ+JlByHx16n2jv/EcA7f9Dt6DoFUYtu0XYgY5iSNPb/uMwR3ZChM WrAY3uVVMfULGIKy0xv0awPFULjhbeGLsCF4xlBL3/FADOVt3sX2pAyB9OF+ b5aPGB71+HDMrGEIoHNa1tFdDDO+si9T6WFQ/CSnEu8ghq7bSj6TxcPQcHHq tq6aGJ5RlYp/XDEM350TlV6oiuExtdsPBeuGQbq02Ze1TQz37FY9xdU5DGH8 VtrvNoshl3aSyOTkMKgZ0r3/KYphiLHP+VKJEdiwUvCz9WoxfH15n5Srywj4 bPRctbhEwWiXeAH69RHY+329vAKLgkGuzLlzHiOQLVrtZbxIwcs3Ptfa+I+A 6vY4SsI8BdW9ZG8ZxI5AZY7vLmUGBUtCuNtkqkZgUssFhn9SsPddycNG6VGQ W7IIHSqgYMME9/g2hVE4tcFEqTePggUq+w+Fq4zC5Oeppy05FIx/XSpooT4K Mh6yw1++UPBUcllQ96FRyM2bLTmTTsHBmIqQoeuj8E5zMdckjoITgTVhrNpR CLjrcFD7FgV7qgVnrZtHYY3nydaRGxSs4zc0K+gYBcc9N9yC3Sj4zr+Weq9v FBS9StvqrrDt8al7wrswCvW8sTuUHSk4e6vhqbjsGPx3/ckeAzMKLp5vea7k Pgbap/crDitR0Ezt5ONNnmMgtUNT3FiBgm85B/22+4xBy3Xn85myFLSOnL+y N3gMODIXd7ito2BhqcRB48Qx+GfSKFtJpeB9KbvZG1VjIN/xYObjkiiKt00c qpAYB6MDN49p1YvixQQ37dp14+ApSDhK14hiycV/6k2y48BwyTvMrBBFt2WU 9d2bxkGk08AmsUgUO7eoLtC1x2H15rPv0zJEMe6h+0vahXFYPPBY/EOUKCpr rVg6820c1jVEzLXbiGL66zcKHQXjgDUH4p8eF0VVqpGxXtk4/GoZmTO0EEWN ocgk5cZxEJQjKbGHRfFw0AYDxuA4UBXvPC7XEGX3R4aRN8Um4MiRiMOraKI4 pz1dOEqbAN9js/mbxUTx1tuIseNrJuCBujDXbiFR9PHs1dRUnAB6u8BKpWWi GCF3ZYBLcwIEDPI2tnWL4Ncr4dsCz03A5py+rgc+IqjZtfMEy2kCbvJEpM/d EMGifT98nVwn4G1me4LWJRGsosl3GnlOQECP+EYXcxHszs3yJJ5MQDrva8oG WRHk4O+qiS2YAK8VnsU62cLoc9VzTqRsArClKmH/W2Hk+7Feyrt6Aiq11HFV rDCKpV+8at82AWqm589t9RZG2aNLqxTHJyCjnFOMZ78w6iZKn/1Am4Sza99b iRcJoWqksHyZ5CQ87L7tXvJBCKWCF/u/S09CT/ul7l0JQvj3ZuspbpVJiCgQ 1b3gKYRpxgHWFjgJpysfpGTvFMIoXbc1F/dPglKfuJStvBD67bXv9tKfhMmQ br4ccSG0Vdpr9dpsElj6hxaDJwRRnHPKnOU4CV7nZDbbxwgix/wPqpjTJKzh lAm44y+I4+NVzfJXJ0FLnvVs71VBLOtIMjbymATbXr6w57qCeDP9mOGLx5Ps evwz3WtMAHttCvbpZU/CfmEvqzxJAawxT1tmnT8JflLzR105BPCLQVSRS8kk bN81sze4jx9D1V0xum4ScnvjpdpS+HG/iKIG/dckNE5sIpYU+HEbD7G4bHgS srz9KWuW8+PaRc7slRNs+5K4TM/28eGfwS517flJKOf5vtryOR++yQvZ/kSA DryRtxMe/+PFyM+3p1NF6TBlYf1xopUXfV6f+5BH0CElmXZt9RtetI7Q2Ty8 jg4THenW6ca8aBC4ZZIpSwfhmmWr5mV4cefdNWmUDXSo8gj0qJtegRSn+Q17 VOngPiLF9V/QClyy7x85sosOnG0yNlPHVuCoZeMrB006vJQyi9KQWYEl+9/I Bx+kw9CH6wKr3y/H62tsZP47QQede11E3DsePGW05Wi3HR081f5wJZzjwcP3 OB+0n6FDVqFuxLA0D8qPvJiqvUyHnJxp1aAAbhSTvCZXeY0OGXZvR7x3ciPr 8AHLEnc6DO41ShvtW4Ytn4cLsn3o4Phsb6zw5mVYMPR1NiOADgOD9zh21HHh G4mHih+C6SAYLe+V5MiFd702PkqJZMs/u2G6N4gTnT4tFSfG0KGyz/lfC40T LQfr52MS6XDt4Mp39s85cMshF5vwt3QojtpDPSzxDyQ9dcJCPtChLqXezWSW BSs+UssfZNLhaKre2vwcJkz3D/z1/UaHUO/xvzIui9BDy9rkXUCHP2ZE1rzY X6jS9z91u5QODR5LmSkxfyDDwzLiehUdfiMvRIrOQ2DfIutSCx2evTmksCZ1 Bm6QtVvPddKhO4N7YmXNFNjrxZ526KGD9oO8/J9JdNj9HmuthumQ+CzQ+oL4 EMj/onAenWD7X6Po73v3X0Ah+lSNp+kQH6xQ88mxC5i6nx0PzdOBo3aZrG5Y Iwy7+0brMumgaHP626dteTB6VNkxgYMBv25FVEV4JIEtQ5xr3TIGdOrPnDmo VwltAczn0TwMOKXUP/34SRsYrB/YIcHLgNRNEjJnZX9CQU5t/VN+BjgX67Hb 2n5QO5p5jhBiQOtNx9QXpiMgE3A/RlSMAfcs9nwXamNApMxl9WAqA9YKvbio UDgNwjnHGgVoDJC14RMYC5kFH3OtCwGrGCBy96moqc4cLEwq8ayQZIDDsOlc evc8OPmLxfmsZYBWdIXR/ZML0C+9uJNLmgG3Hr36fan8LzSY1VxkyTFAKOrY +ooTLDgw+Xn5LUUGJDWJJBx4uAQ592Pi/2xg49e2C/e++gcp2U4tM5sZYMf3 4suuLg6UNLNwurKNAT2PxF1PmnFi6ATw0lUZsFtMMtCqnBPvSFE0RncxoPQ0 X9fbaC6c/brQelaDAY0jU8r1/7jwvOkv5wFNBnBscs45Y70Mzf0+vfipw4Bx sxV/t4two8q4uUC7IQNEQzUdQw/w4BezQ/kPjBhgYbr8zrdQHtTJ1b6qacqA ZOMYt5ouHrQK3tz18hgD+iM/qDqdXo6Dc3IhlscZ8CxE48Ox5OXoYiOpI2TN gKpH9ka9/csxYAvfG1d7BgSqn1M5cnwFUp/9s1Y8w4Clc19Sb4StwHjOObFu RwZM3WgyzK9cgV+afrnrOLF5eSIZL7CVFwddc/TFbjIg3/5zhtgEL7r8+LhU eosB99Nk5FNW8iFrf+rHm3cYkJXSrL+kzYdUWoTEf/cYYC0c6rA5nA91vjqP vg9mgMBw1/PlG/ixTvpMrP1jNv4DmJU25EerBydMaOEMGK1yv2nrzI8ux/Wy 7zxj6198rOX8B36MZ8k8MExiwJzx+ZxwFQFUObNKkzOFAfWLmx3T9AQwq05k +nMqAwSr352VOyOAdXFMS8n3DJDi7ffWjxFAllab0thXBrgfcI5d5BZE/9c1 P2JzGOBzWuPVizWCSBUvfmySz4ArPWlRTTsEUaX//cLXEgb40z/91+IgiFZ+ AZX+9QwIHdVbX58riIOTnh4aTQx4NanCFG8WxCsWblsZLQw4n+o59XeIja9o /8ziO9vfPUmq2aJCmFmlcU5+gAEF+V1y+62FUFyEwVvylwFygz/eXh8Twqbc B/f1WOzzF7/5/fgrhKEX5ZbX/2MAdfhAqTA/+z6tslr2nXsK3pVuM+xQYH/7 lrLowlPwmu/3ZQU7YRRdjJpevX4Kutzt1Z5VC2ND6o4rCXJT0P/v8i/VDmF8 dKyBLq84BbI3UiPe9AujSCbPxNaNU6DqeI2ykSWMwlcuD+mqT0EY9RJnuIoI Cg7t775qMAXBkRK8Xr4iWPPkp9WC4RSsqHgZtPqRCAbuu9V5x2gKxCX7J59H iaBAYnpbgPkUDHMXbDd8L4L8J1c3xtlMQSoqpt5pF0HeZkZp9dUpKNpu+CGX Iorc+c/fr49mn9fqZG04KorfNfYd7I2dgoenX/+8ZSWK77PHf0YlTMHXm9XG xdaiaJW5V0wsZQrKLn5wUzsrih/Sel05Pk5Berht8YfromgdvX73j/Ip2BEx 9GXVU1H8cvNNScTMFJSO77K50SCKwfOmJ03mpmDnl+xb7c2iaH+N+VtoYQp6 DetebWkXZdtvqOC7NAX6dmt8Gn+I4mlHesBVvmmwvuplUT8qimIW248YrZuG fTbqa6qXUfCC6rdOPoNp8H71xHHrNna/3dD69ovhNBhfSbAdVKUgcYnhedZo GpJURW49Vadg/ks5+VLzaWDEZGhPalBQnPbIxct2GlaPeOx31qXgtwUHgflr 0xCp39FZfpyCAvnCe/vjp6G7tVRY7C4FbY8riYa9mIY1Um4ZJ30omDGv06eV PA2Jpd1Pk/0oaLPlZkDcm2lQv2emvOUhBT8l9LVaZU5DHzX44PpwCh73+eLU WD0NxRTaVPBLCr7ROxWfNzcNeiOmj5PKKKiqIq0JC9NQGpK3wbuCgnnCP7vy F6ch+4TE3+NV7Pmi+SStkGMGNsg/1hOsY/fzJy2Di/lnQHLpJeVYKwU1XYxu V6ydgZkgqkVcH3t/lOaxpgMzsHU66sSyfxT8PSYhOhgxA0pB60Rzt4pheMxQ efSzGZD56Jxss10Mtx/57GkaPQMpt/IYHDvE8MpHQ3pBwgwk8Fu8gZ1iOHHD q+752xngfSLGStMUwwGewUDjohlYUJaTNTIQw9Z1H/hyJ2bgscb9sa/27HnP VHdZ+L5ZcIrcpRzyWAw9D/rGfR6chRdkyNavPWIo/UO/44Xvb9h+TvDEOxlx 3K3uE75q2xxo/kxY//yMOJ5YW7/A2TwHgV22ug6J4vi7KujXZe958GnZsXLk pzhGclu7msj+gZ8nqX4OElQU78lI5Cr5AxyBFUf+mVCRx8PbbNeVBRg69SRm 7DEVOVKt3/9i3/vBg1kHHeqp6BL1Pkis6C+k2seotpAE5ir781KcFmGj3VLF cQcCKfouKneFmRAdlFkemklgfKGIwG4KE6q574eJfSFwy660kSlxJoykrVgI +0rgYcXhZLtVTHi/3tbxWQ6BD5ZbS2vJMuF7icOuD0UErrqz+O+PPBNkw+8G 7yoh8NXvyJ50JSY8N9p2v7iUwPL+5udSm5lAH4sz/V5BIHexHsmxmwnbxj6S ZD2BYbuHZrM0mKB09FZDSgOBMh99mp2BCVr3ixp2NxH4QUnmo4I2E+4Hx96q b/7//7D8R737mMCM3d7n0Epg/cqTzk91mSAi5vznbxuB1o/+Gh7RZ4Ljl4+8 YR0ETq6IVFlhyATqvfNjyt8JfPPnaNt/R5jw8V1Z4fcuAgXnm0bcTJjAxSf0 3e4HgdFOlys2mTNh9QtGOquHQOVBoZRBCybwi7q+iv5JYPbJN76xVkwQzB2e 2POLQL3Wgw5HT7L7suE4RncfgR2HBrWFbZmww8/i2J0BAs+W3JMuO8XWv1Fh ucwQgbIZ2tXxp5kQ931TVNcwgb6f8np2ODLh9b89jAujBFKVT+ROnGdCcG8o io8T6KbU0XD3EhNa89UxeYLA7RJP3U9eZsKJ2J0Wp+kEhq8UD552YUJuiMS7 RQaBJnxN6rXXmNDl0/8qd5rA/7ycSd8bTIi0E42/MEvg5T+CvzVuMWHgyqsl iTkCG+f8eZs8mKDp98ohY57AHNtzHvVeTHi8fMIubIHANTYDjxzuMSFtYGvw 1kUCeStLeU75MSFM3+qsGIvAPYelDrf4M4FMbf8ZvURgVWmuSuBDJuyFTaQ5 B4lWe48L7AtmwvqxIF5hLhJpmyQy1j5mwlf+8YTeZSTeUImo+BTGhKv27T98 eUjkTdqeciGCCTc6/qrqrCBxj1Iw/UckEx7uUK5q5SVRPszJoes5E9q6dKuL +UnM4BfUCYtlQkixRp6fIIn77qZKGyQwwVjVxFhfmMRTV/p7spOZ4J9ge7ud QuLUsHeuSyoTkmhROvHiJHrZrove8JYJnKFBnBcIEuOOWFlGfWCC78mnN7lX kdi9saH5Jrvv7j/84a2BFIk5exw5+/KYMO/icHpcmo2faiofVMgEJ2aG6bf1 JI7Itt+IL2NCiYYrfbMCiXOre9aUNzChOLRbd+MmErM715UbNTNh1H/jWcZm EqOGsma/tjKB0Mm6GruVxPU8hk98Opgwm5194PF2ErnFB4omvjPh1audp3R2 kEjhHz9LHWBC9rja86saJB7kvS8jOcTmU8NWZnAviZG+ztkKo0zYOuSrQyCJ azlnBPfQmVCKA1vzdEj8laeaWTLFBPlWvsAn+0l8edvN5vAsm2+F0ionXRJV /ix8sFtg69fL6SFnQCI9Y8/xsUUmrPp0zXOZIYkfr3pwX1tiwgua7ZG+wySm N17IzOVgwV9s+PbEiMRddA4L/2UsOBfMyntlQiLzrTaH2HIW9B68OBFsRuIL iU1yObwskA5eUgk5SuI9xTITOQEWiOBZO5tjJAoeOD5DF2JBVLR7+G0rEvmS 9F7uFGXBK/5PYeonSKyxe3i4SIwFL2rXCylYk/hoXe28AcECj0nZTJotiaY/ hBNaaSzQ/UA7w3+KRPK5kb6NBAsmPR9U/rMn8fux0JlhSRaszajtmj9NYgzZ Eu2yjgUXCoCDcZZED9mLVV3SbPys4L+N50hcoc15IVmWBYYDnwW5LpI4dORZ pIgCC/yqtW4PXyKx/OTWshtKLKjb3yhc70xiYNzreg4VFlwxJC43XmHHW0cz /+wmFphKBhxTdmXznzyjen0rCwK5FEs2uZH4hfvXYP52FiyGBEZx3yDR2qVW 4LwaC+ZibytucCdR0+v0ruadLPBepr557W0S1wWzzmjsYcEDvWVXqXfY+bS6 70qqJgs69drv//Qi0f/rhh2XkQWrhU1/Hr1L4qHrF3sWtFlwUvabu5MPidP9 FsuS9rPnlGsHYxL9SGyapm8ROsiCppy7MUn+JEakb/0eoc8CJyurzsIHJFo6 Xb0nZciCI95Y3BdI4tEaux3njrCA+VyYbAgmseDx1scWJizwfak8pfeYxHMr At2WzNh8llZ1PAwj8cxpd0VdCxbsGUq8eecJiRvW5zQ2WLKgg7WL+eYpiRM/ We5W7LlJRSfTresZO55iQbbfmgWUnK5IwWgSZ9xnVtjZsWBC+9uMWiyJahYp Yz/s2XPxQbluu3gSv4mIfGp3ZAGk9BYUJpFYIuMwSL3AAqGPe6/kJJOIFW7u jZdY0HYp8N2GVHa8JW2wPnyZBZeGJJj2b0jk0N87zX+VBVkcTzM60tj152So 3MFrLFgp1Oj74z2Ju7UtG+SusyDHMSch6AOJyu5KpXbuLFhTo0G585nEhqm0 hrzbLAjZ7auWkkli1ykPm49+LDhh303/nk/icoVvUV7vWODcl9LrP0iiyG7R utx0FiT3SPXVDZN488E3K4tPLJgOAOlrYyQmr0zMWJnJggXz7jy9SRLfMb9y hn9hgfv7H586GCSauWoKTWWz4GDa6RN6M2y+jKYZl3JZ4HZkMuu/3yR2qiS3 jOaz4PC962c8/rD9pzaM5UUsEL00puG9SKLNgFB0fwkLjNdXmOSzSOQ5GZqi Vc6Cy+2J01ocNPwfljN0vw== "]], Line[{{1.863029491341594, 5.758359630287889}, {1.8636065072088668`, 5.760877453873766}, {1.8642138923323122`, 5.763534175183468}, { 1.8648212774557575`, 5.766204861442007}, {1.8745394394308825`, 5.811198951909488}, {1.8750995729366542`, 5.813924140388442}, { 1.8758574006209332`, 5.817638293328431}, {1.8764834321862074`, 5.82073675688588}, {1.877175361810984, 5.8241837196780155`}, { 1.8777354953167555`, 5.826979037303793}, {1.8784933230010348`, 5.830808578772156}, {1.8791523035960602`, 5.8341479350529495`}, { 1.8797783351613342`, 5.83735169094816}}], Line[CompressedData[" 1:eJwBcQKO/SFib1JlAgAAACYAAAACAAAAYHImcrQJjT8Cf6cZ1agfQB5L9W2O Vo4/oCI8+FplH0BFHaSk6WePPxaEZftBMR9AFjbrRstckD+aRvJRcPMeQFl+ 406N9ZA//ocM3RbAHkD8hB0weK6RPwBsax4thB5AD+50yyU3kj9yYegWw1oe QIIVDkD835I/xgLuxvwpHkDFXQZIvniTP2zyGaFv/x1AOIWfvJQhlD+8Aw2W +tIdQHvNl8RWupQ/9BBgmCOsHUBWheACI1uVP8TPG8NThR1Amc3YCuXzlT+I 2lMFVWIdQAz1cX+7nJY/8GxgYW48HUBPPWqHfTWXPwyhfBI5HB1AwmQD/FPe lz82qQCAaPkcQAWt+wMWd5g/6O6JaWnbHEB41JR47B+ZP0jvMaqZuhxAU4zd trjAmT/aKyKPr50cQP5khYhwUZo/YmbNu0+EHEBRRGc7E5ubP5RwQpsfTRxA 5LO3cR2jmz+gZ49eukscQCf8r3nfO5w/gAYUg2szHEDUFNvORNycPxDRBf1X GhxAAvlta2SWnT+wwShyef4bQOkCK6FYLp4/PlxcwZ7oG0AsSyOpGseeP9Ab XYUZ0xtACANs5+Znnz+6YiPCSL0bQHJd2pJZBKA/5FJ1fvunG0Bfuf6xv1Sg P65jqfw/kxtAgN36tSChoD/mOTxN+n8bQGpQ6FygBaE/bF4/76pnG0AozWsP 8kWhP05m5nqGWBtAFSmQLliWoT8YZsmxtEUbQDZNjDK54qE/bhFDW3w0G0CI UCmjLj+iP65W3MVOIBtA3jz9i4qHoj8y4mgy1RAbQDMp0XTmz6I/ft2V340B G0DUMA2A "]], Line[CompressedData[" 1:eJwBYQOe/CFib1JlAgAAADUAAAACAAAAnnlFU3C/tT8a0rsedEEYQOBo1s8Y 5rU/zoMMD448GEB364kqyg62PxjvZYh1NxhADm49hXs3tj/+P6u1ZjIYQFFd zgEkXrY/9lsRiaItGEA8c6Q63oi2P5z1da1zKBhA0/VXlY+xtj9elHQthSMY QGp4C/BA2rY/EAbjK6weGEAB+75K8gK3P5ayftjWGRhAmH1ypaMrtz+YKJ8S ERUYQIbZ4ENDULc/2IZPgdAQGEDBPEH1IIO3P6IzLBD1ChhAXAWNtbeltz/c xf1LAgcYQEph+1NXyrc/jNTyAN4CGEAI8jFUPfm3PzzL9riY/RdAdCDKo9Qh uD9G7ZsFF/kXQLcPWyB9SLg/8jwHys70F0BOkg57LnG4P9aEPpVl8BdAQTQV f7OPuD8OKUYUG+0XQHyXdTCRwrg/mn4qQaHnF0C/hgatOem4PwZfg5+F4xdA plZEgA4auT+Qco8sX94XQEAfkEClPLk/xIaRT8HaF0B/yIhXaGm5P1pHUtEd 1hdAbiT39QeOuT94RZVXWtIXQASnqlC5trk/XPaWUzXOF0BHljvNYd25P457 ujlJyhdAMqwRBhwIuj+WisQGAcYXQMkuxWDNMLo/LHvaY/PBF0BgsXi7flm6 P/xnDiznvRdA9jMsFjCCuj+alLcV9LkXQDXdJC3zrro/JA6eHpu1F0AkOZPL ktO6P9xye+UTshdADk9pBE3+uj+ozl5c/a0XQFE++oD1JLs/zgFQMlOqF0BA mmgflUm7Px5bbWfgphdAJ2qm8ml6uz9UKJfMUaIXQBbGFJEJn7s/No3YTeye F0CsSMjruse7P/LYkjItmxdAQ8t7Rmzwuz/qJSFUdJcXQN6TxwYDE7w/aCZs kFKUF0Bw0OL7zkG8PyWk1d4bkBdAC5kuvGVkvD97xPPeBY0XQPa1YLKDjrw/ Z8BNJ0aJF0Dfk1YAIL68P/z6Gc0WhRdAdAH2IqbovD8chGu8YIEXQGJdZMFF Db0/lZEh2zV+F0D53xcc9zW9Py2lmJi0ehdAkGLLdqhevT+1VcyDNncXQCor Fzc/gb0/pH4fJkd0F0BljnfoHLS9PwR51Mf8bxdAVOrlhrzYvT+ODtW062wX QEvShPAm8b0/Fh8SC+NqF0A5yHmV "]], Line[CompressedData[" 1:eJwV0GssFQAYBmCKMglr5jtSi5pLiInazMn3mbZkFp1ZRXbcbyGXcqsJ6Tax WIqawlzLSRg1haVc4uS6mntH0llW0kW59un049374/n1vob+UaKgdUpKSmaK /O9xf415G0PG2vTaYgwHSvoYOVy8i1GqLq5OOw3kMj2nJjNmXJjQbB+JBZIH Hp113c2o5aF70zgeaHLZXzxhzljlLTGuSALKe/72c50l4/U/l9wzk4G+B9+W B1kzvkqNVnFJAyo3UYuxt2Us2Wyl5XgZqKhZb0q6n9Eia0Youwa0FDomu2DH ePhk2pfaTCCRzr0JayHjm6WWnsxsILV3mqEbkdEzLPpASS7QunCDkTxHxidj 0+HifKC/SntdTA8yDoekm28vAOpVrj8XdIhRXbqULy8C0ogMGqw5zFhuFZnj XgoUKDDpD3BlVIkwmvKpBNIfyfeyc2OMuLP8oUICpBv1UNp1lPH9H7FTTg2Q tmqT0MuDkXzN9NLqFftVHSLzjjPWjccHZjQC7YiZa5vyZDwievAVmoESt9W+ vOXNWPCjbLdPK1B/Z+wLZx/G7IFU16p2INMzti0rfozHSq/orXUByWzKnQcC GU8ETAbn9gKNdj1t9AtR+HzG67ZBoG+FI/2epxgXf6/1PRwCyjCwb+iMYBTE yHsaxoAcP0jwXhSjQZ+LW9wkkDChpWZPrMJX7Eu6p4Fyd6ZWT55lnFbdlxI2 AzTb4yi5mcBYL1KJ0/4GZGH3a70sidFBbKmv8RPIy82o1SGZMZ+2zi0uAC30 XSmTpDA6P+uZd1oFcj/vXOJzkXF/geaG7coCqjRWL95yWeEBCR2rqgJSHpTe b7+q+FfUpSJXF5BXclZBYgaj8MIQj2oJqM7U7a55FqO3TrfhJx0BPWrx3dR0 g7GjUJ7wWE9A/wCW60Lm "]], Line[{{0.004932955366877961, 10.}, {0.006127857114005835, 9.477971000197552}, {0.006195330566733033, 9.455353059994295}, { 0.006747386089046483, 9.265434676050392}, {0.007054083601442844, 9.16746374278539}, {0.008004845889871565, 8.906856507238734}, { 0.008587571163424651, 8.76998116944216}, {0.0091396266857381, 8.65300897251224}, {0.009814361213010098, 8.522018583820275}, { 0.010335746984083911`, 8.43024679490685}, {0.011041151262595545`, 8.314859218032487}, {0.011654546287388268`, 8.22562890121353}, { 0.012237271560941353`, 8.144611694213141}}], Line[{{1.9121342823770786`, 6.040735615655608}, { 1.9127603139423528`, 6.045636729988301}, {1.9134192945373782`, 6.050834807997143}, {1.9141112241621547`, 6.056362018318026}, { 1.9147372557274287`, 6.061411735408438}, {1.9153962363224541`, 6.066735359380093}, {1.9160552169174796`, 6.072207349075745}, { 1.9166812484827536`, 6.077392613564944}}]}, "Charting`Private`Tag$26110#5"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{0, 0}, {0, 0}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{ "\!\(\*FractionBox[\(\[PartialD]F\), \(\[PartialD]\[CapitalDelta]n\)]\ \)", None}, {"\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {-1, 10}}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, {Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Center, Top}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{ 3.771003351575511*^9, {3.771003390873476*^9, 3.771003410684228*^9}}, CellLabel-> "Out[190]=",ExpressionUUID->"75397e57-f897-4ca7-acdd-706ff9cd20b6"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Small-U limit of the correlation part", "Subsubsection", CellChangeTimes->{{3.77120862490454*^9, 3.771208627505728*^9}, { 3.771208728290947*^9, 3.7712087314258947`*^9}},ExpressionUUID->"4019d2a7-2eff-42eb-998c-\ bb5c25641bc0"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"F", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], "+", RowBox[{"2", "t", " ", SqrtBox[ RowBox[{ SubscriptBox["n", "1"], RowBox[{"(", RowBox[{"2", "-", SubscriptBox["n", "1"]}], ")"}]}]]}], "-", RowBox[{ FractionBox["U", "4"], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"2", "-", SubscriptBox["n", "1"]}], ")"}], "2"]}], ")"}]}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{ FractionBox["2", "10"], ",", FractionBox["1", "2"], ",", "1"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"-", FractionBox[ SuperscriptBox["U", "2"], "8"]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", RowBox[{ SubscriptBox["n", "1"], "-", "1"}], ")"}], "2"]}], ")"}], RowBox[{"5", "/", "2"}]], RowBox[{"(", RowBox[{"1", "-", RowBox[{ FractionBox["U", RowBox[{"2", "t"}]], SuperscriptBox[ RowBox[{"(", RowBox[{ SubscriptBox["n", "1"], "-", "1"}], ")"}], "2"], SqrtBox[ RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", RowBox[{ SubscriptBox["n", "1"], "-", "1"}], ")"}], "2"]}]]}]}], ")"}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{ FractionBox["2", "10"], ",", FractionBox["1", "2"], ",", "1"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.771208499299416*^9, 3.771208583003454*^9}, { 3.7712096025155487`*^9, 3.771209647598443*^9}}, CellLabel->"In[19]:=",ExpressionUUID->"f53f57af-3ae0-4740-b122-7ccce7283087"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwd0gk4VN0bAPBLpdEnFC0mGcrQMqaxZMlylRaV/p9Q0SJ70WIYlaIMTcgS FcMnylp2ZRn7OYNB2an+lsqWBiNrfCTqf+Z/n+c+9/k97/ue95xzXyUHdwtn UQzD/kGv8HvMeaSdO+pshAmfHZqGK02I9D65gzhSf8fP6UrNF7HxBXJWQpe0 WsqBIXll/1sqtkL7hjurg+PNnfkJck5C9+m17gfKYVvT/pBchbavFP8bLB1z jLFXuY7MvEG6Zg0ErA88e7YHMtdqSWAPzjjNVz6R8xLG5eUWLgOeCbG4Jv6m sD6UVkYHtO2Gr2dJt4X5DhfLboB4UbsMcorP/9dzCfQBhMGA5NMq95DN86tk /EFZf0dzjRUTOTFQ/z0L0M2djp1n+yNP6TWseghUuHN1s50ByLQwl7xw8GVP kEm4HAs5mDPh+hhEvdjMJZ97gGy3zU0/ChyTyjQA8YHIunr8EzEA89MvPd0b hBypLpMSBzgTTXsnSQ+RL298YvAcXLW1zQ+yD0GWnl9cmwS2tUxSFVNCkbNt HZRSwKOc9TtOqjxCNoM45xU4tDU1dfRSBHLUvIJeJrhXFyddZRUp7PcxcDAb aGlTwm3Yj5EFIXWn3gCpCa9Gss4T4f246/DzgSCtUnymU2jlQ7TQQpC44e/A ELkoZJWQYZkS4NMcwztdJnTAJd2FUnD6Qb/o9nPRyL6G2jPlQGLOw688ni3M /0aW5YLh7LLKIMMY5OYkL40qUO20YsmyV2hyNul8NfD+EOX9nfSPMN5N6OAB y7AvnBKu0M53WQp1gHpQZY5lH4d81KfzZj0YKij22JryDPkO5n28AZx82uP2 H5XnyNs295i0Acrx7RnEeqHF+X+I7YCw4uow/9ILHGO+kPJbaAcXS3+/gVaJ yLyy8rr3YMPOSKo1Ownl+7sFvOkEog8KTwA+MnN11tuKLjDV33VVWScZWdWr vqUbNMYqZU11ImPFEcTVn4E/oUD1oVwqjnGzHBWd+8GuI4+D8+nIxrWXp2UG QMcD99FP9UJzJYbrBoDyCkoW9WYaslGbtd5XULecSv3Q8RLZZu2yOR+4G9yP WN75SnieiDilYbDZx35KxR/ZOO9y6L/DwHVha/7tPemo32C1b84okPjB3ksK y0A2q6KZj4Mi9Rts06/IzNwTSyYTwJZuOe+xL1O4nvlBg0mQNy5VyhsReoUL NWEKWIwEG7gdykb1kVGxnBkQ++WOSdHvXFQ/appgPQ/2y9uk9p7KQ/npGZ7z 80BwVmcVIQfZuIKVHrsAFL7fdsxRe41jio3KhoM/gburNhn7jGxX8MngyRJY 75SXnqabj+JTtFBNEehyX8FmnxNy5PZWB7YILE8OF2+NQGaeIHovikCngStu C3xkTO2lbZ0oLLLdQTkeXYBjdBGfPddWQmubpLyp6ULUf9Hi5vxqOPnJak0y sQg5oiLchQADbQnOlibI5g36Nf8lwAJHdyInCjlx9+mQMnEoed3wgY8OB7n2 SXTEX7A2oPus2N1i1P+99h93KXh+VXhRcZrQOqKUaSk4E2Qs7dqCTNesAXrS UDH8VW0jqQTHXhvJvq2Uhr4xN2iPq5HT9/NA0zqokb1OTJ5QhmNdVhV2YrLw HbXWrpmGXLKjj2YuC+3eeJffs0H2ruZHx8nCcE4ffSATOTZUjaS+AY5wcz69 PFGO/kenlobzRvj849E36k8r0H0RB71GN8O//vifP6IAUb/cPiVHBRjresaW chjZu/nKTKUCVP5AsVt3XehpyVNyJGiU0en4qRKZm/S+rZ0ESzPYRcVULo6Z evLbUxXhuOX3iuMtyOlr2+12bYOn0mMaGWurcYwV8CfkKhnGXwgwc1FCpptr KaSQ4eD6a83We5H7rwgWu8nQ/e6BVsMLyCU/eiJNVeBDi/GO1TnIs1gtdacq rFw60PPMrAbNw41O9YUdkHxyYqQmlIdjTmfHTJopkOh3ZN+lJOSl87evr1eD 0jmJoWuKkS/z5CfPqMFFgiX15CAy73jgzFc12MYtZvTq1uKY9XZxEWwPvEPz /73wDflq/jNiKg22SMnKUo3r0fnKVtpIaMJbLXp47Ow7HAtk/A46pwslqUXf 3hEacCyYO5H9QBemhtPCfskjlzztmcvThe1mqt22h5CJF1k/VurB3Y2yDDIb ef2yXsJrPdhXP/kyX6cRxzgOvGRJfXikKk2y+U4TjmXf7tH5Zgg3Fa7rFRFp xTGFUY7G8n7IGTRpajXowLENQQk1N4/CareELTbfP6D46i7fSXM4p2IolXOt E83jO1LwwVNQ9GeW9BZyD860YbPkT52F4tWzYpuSPuNiBEezJt2LUPuPHccy 9zPOzKTEdVtchE0srZa6XX24cekyaYDmAEmRYz8zJvpxY55WxMKiExyb7+v9 SBvEmUP74mOjLsFUQXmD5KOvOPPwjjWm1m5QcuuryaGhIRzbBeR+/bgKZTjB b1av4+N7M632HtjiDsNci1wSlfm4MXm8wBh3h/8aZw1d9hvG25bo26Z5dOil wSvcWDOCM+3YpzeXeUAXLcXEx2+RlwLxX5Ue0FrbN1SiZQSnew80farygPr7 tBxEu0fQfJS0Rr/zgKIHUqUmJlD85gWL8S4PGHGS5VZLHMWND5uq75z3gJn0 g4penqNoHuOyGtU9YV8uL7RdSYBP2RW2eL/whG3jK79rqApw5pfdstnJnpBL OWQWRRHg5hbjDZ/TPGFiZq3EGR0B3kbRC9bO9oQOL+vCP5sJcEz9EbmxxBPy E95GDN9C9X7sNd7tnnA8rOnpcjMyXpDSjTFgb6PErO175FBH1dIVDNiy5oQV t0uA0+eMlqPFGDA3uFn2/le0H9OGZ0ckGJDOaokm/BTg3IFXISGbGHDWpy1G RnkMZ94SOD9SY8Bfbh+e7bwzhk8Vxs8EnWFAK+0Lj6l+Yzg35NXzIRsGzBbh B2qyUDwi94vReQa0jZ33MHyE4kqS67/bMWBVLdH0ZPIYnphTs3+nGwMGKdrP ejegfNNKCtWXAe/NDyZ3dCHbfw32DmDA/wGxaotk "]], LineBox[CompressedData[" 1:eJwV1ns4VFsbAPBBUkS5HSeXIpec0klR6qRZckkII7coFLlFE/ZKLonzHWQk OimHIpPq9ImIJFTWnFJHUi65lGspkcbMHorcv/f7Y555fs9617ve9e69195a vsf3+YszGIxM+P3/n5GxNdPq41fErWT4M85QpC50waRVh49o9/bxyAKKRErI a/f8Cl4qtyL5b4q8MzSeEprzEa8kUTe5hCL5Z2NuqoTwkdmuQGvZWoqs3yU1 H/CQjxJs2wqMuily93bR2rc8iD9clqfcSxFjJZaTzXOIZxlmfuujiOlQ9o31 LXzEepsTUjhAEYdz6+zozxBvN88TfKFIxDv77GiFUaRJ+0cNTVJkwnzsnxGV UcTdqt+ePUWR2OKsrwc0RlEY9bO29QxFEuP7mUx9GO/ac/7yPEWydMMHxZmj iKWUxlWXxKQ6/OLmtOBRRIuLa52Tx4TZve3gHBviW4SOsoqYPLHsTWLjUdT8 LTswVQmTBhW9d6z4UcT4SccxVgWTnscP4pUvQT0TySITDUwY0t2NV3ngBW1V dX1MrAu0AstUBIjxZ+dg2g5MjLPl9J6rCxAtYZKcZYqJZvrMpy4tAUroqw/K 24nJdHS77yIDAeJVOY8XIEzuOHG83c1gPv+D8jkLTBTFRK5zQQLUHOi5r9cW 1pvsVVJgg/sGxmvsMOHzG97oUQIUlrX9zaW9mDx/e8OJFSdAZtkuthYOmETf 3W9//U9YL+J3xTgnTPp9eJY2NZD/jmdfiDsmja53JLwJzH/x1ExjPyZVdpef RNRBvJVf70vwBRNslvsa1qNi6zQ9MbFarm8qHID8nlWWhQcx2SypPCMxLECs hEjK0guTVTNiNT+PChBXk9/VA/7xudvEfBLyce2dJX0wKarNMLokI0RmxVaD xocxya44NVa4Qoh4M8rt1eDE28FltcpCxAreN7vDFxPvLIuNw6th3CqaNvHD RJ49uW6HsRBxOzNC5Pwxmff79MVxO+SzaFSIA494tPz3CFOIGBpe9DC4zqpI L32PEIXdXLCvCsDkpIbPmg8HIf+c7PktQZj4sgzdeg4LkWZN5KY0sMMfYqmd AULUHKCq8x6s9+W66FWYECVcuD8bH4yJgvoJ3RcnYP2IhIGX4DmH3R51MWDJ DSuVj2LSVjHMq0mE+VZdUflg3lD1t/scqM+54tp7cJHqWf2ydKindY3a6hBM /pOw4fytbKhnbdRCJph9b/5pQR6MH2QebQB7fG6azCuA/fDcdefBhnsjfC4W Q7yyXZpXKCbq8RaZGWWQ/4j0Ng5Yqlzp39RKmJ8/ZFQOHvs0OJ30EPrn1hn/ Ftyn8uDX33kw/va12iy4wTbF99Qz2L9RnZTGMUzux3lknWyAfFtLLHaAuXfX NUQ0ganEJjdw2seZuWNtkG8LKjoOjvrp1abgdzD/fGdHEtjP5qr/kT7ol5P1 vhyww6njOT4foR9SHI3b4N9KzV55DkO/FmVvqwLrDciLuY3CftzDrj8Fyyt/ NHYag/2+lvNuBM9aVwTtnYR8M2FBreDhmKRc61lYz/DSk3bwiNv6oGsMGjFi Y0I7wIdoRfHVEuBizYA2cAdn9kquJI1YrimlTWA77cEtqktoZFZfvqcezHv0 qukvaRqFKRZsqgVvdasMVpalkaa0x9EycLHwqkTmcpi/s3vsGngN50zeCgWI nzN4mQHOXhNmkq5EI/qA83gMWO7R/hYZFRg3cAnxAye67grhrKRR8/wWIxvw lOAXSSl1GvF0GHYGYHaKQn7iKhol3K0pXwb+pDWzTVwL1jvBPjoC16fZpTF0 ThfqKRl+kQfeLahYHKsP9Z+pC6fAj87kcX+sg3yH6oJ3g2/VsNvGN0L8Kj/b T3C/qLu4s8M3Qz/8NYxKwRdG0RKhMeSP3Bx6EnxaU950ZDvUN13UtAD357fq qfZAU9hPy6ZpAj7qPHB8kAn1bXc9EQd2Tb53/b0Fjbi1xIuG+9+A7yrTaQ/x jzyn7sPzUuWyl6SyoJ7cAw4eYIvH5hTTGfJrrIudCsTEM31j9839kG+i5KAh mGO4tAj7gf+WtoiC51UpZ8FbPwD8XdtTHMwVm1DoCYL51dq2nCOQv3UgxoIN /a2MvH8OzoPP+JGtQjTUs1iyNgzOj4je8vlnsRBvPsj9cAieT6vC8ujTYIaU tyNYSSVL9cMf0L8NzYFacB5ZVB8fKU0H687U5sN5xp1bk2p/A/Jf0CmShPPR IGAlU+wWWHvA1tINkwevl49VFEL//L3q410xeZ0/66FeCvWKn/cadYb1dnX8 8rUajI1/FLBgv8mcFylNkF/V3iDKBuoVxMeZtkK95ofqE/dgEu4euYlug/rU KnanW2OSou+X494F9vb9+pcVJpUNpsF6g9DfV6LepF3wPlhOL6mbhus7P3Gv cRsmrY9Tz9jMQb9tnG0emsD1DdVd3LQA62s8Mbi1Fc6rBk+JrkUixDit2B9p DE56NieUEyFWtcv0942YrJi5PKamLUJ0qqMLpYfJsiGrHspOhMyWyy4+Bu/H xkvvPafsRYi7mSm5eAU8/5ax706zwPIdXrlymMgU3O3guIpQ2NpO9X9kMJH2 UmvJ94F8xRd7R+B9u+QN/ewlBXbRrCfwvl5ErpRq54qQpsJlj4h+inSZWu7p vwr1sa+oX4Dvg9Ia/vvL1yA+2udNCXw/eFbuVFC4BeNllav6OylSdqcfM8rB cWeZas0U8c7V/q33X8j3JmCLOI8iVdFFdVnjItTc0l+fkUeR9Elnr30TsJ+0 eJbjFYr4nZj9LjsF1mEMyORQRC7cfm3SvAglpBfqnrpIEf8gIYdaOgbzpy23 n6VIj1SIDHPZGDK7PeTdlkKR/wEXH7zx "]], LineBox[CompressedData[" 1:eJwd0nk0VO8fB/AbylYyiPCVESaERCHi4ifZ04rsk+1IaCZtX1tFiYrwRSpp oVSMUBQ9j5C9b1MTWbKENP20IBOD8n2e+eOee17n876f57yfc9XokbuChAiC yEEPfudzss4co0yRE04+/W6JTHhwU02PuNMUGWVhvoyzgwnr2J0Pq12myATq lkxrFyZcdWgiPsRtiqzzSvctcWRCWKhJe7l3iiyovVIRs40JZRXSGQn+UyT7 QFTEnBkT1vADJWei0fd+YJShyYSSUMpitGCKdGvmfvWZZcAHDvQC8GuKJB68 /bYjmwE36apZkvwpkioUzXbOZEAgNdQH59G8tTthezoDsjk+Ci+In6RbhIWr cQoDTvt4XmqQQDYTr+DHMqAlwy2mZc1P0kpE6MDqIJTPs/R4a4ecY3aoZiMD 8saVpMeyUd7rWlJb42H4ePd24SzbabJAw7RYCkTBePukG5Vj06RVdiWT5x4J dcyOj/BmpskRamv0y9WRUK3fsft2Eo8curqgNUk5BM1MErMUDX+RCS3JhkXM MOi95jV/CecXWbCx5t48NwTy2i4OR52aIa0Sw67/WB0Ec0V8j+zSmCUTnESm 24/SoezA41tCjcjdT4M7uvzgxxDnuKfvZ8kOiZRFXXM/uDT21J4th/kkIXM3 7lj8fkgU+7KGZeZI4uaSW0GNeyEjj3VRph65T/G7i9BO+Hx9shglYp4k8mqN v2c7QIojQ/e01AJJsKtAVIkNLHixUtKMgtyi4VZ02QYabCn5MimLrN+r+yPa BrpqcYsCFJE/wk/PLG1gyjJfNWsN5IPL1M3fWEORBgd5wgz56VvlT3wr+Mtc jYgLQqb3RqtWWsIPemzOiVrk7pRel1JTeGOcEisMkTc9uNxxxhTSi3fTLr5A Xoi6G+lpCr9ovD9e0IQcfGKl+lJT+Et5QKWZjWx35xHpawIpEl9D5D4h3zoh 6q5gDO3GRBdKV/wmiQtGdw0KjaD4HYdCU2lkworlEG8EOwJSXetl8Lxn9pyn EdzdL3WzUwHZ1jL0iJQR9H+3ym5BDbl2n8eKk4bw73r1dAdjZLquta3HRliW T2qM+iKXiW5nB+jDnyd/igYEILv1ylZS9aGx+93x/gPIE1HXhgb1YM3KlRXv Q5FnM/iyfnqwKWHAup2BvFz23Ki/Luyjx/qVn0XuqIrdyNCBy9bV5CWUIouM mmW306CDcGTc7zLkumNmeZk0eGFwLf1kBbJWTfBnLxqk5KZoH6lGTli33eeb JvxLfH91SD2y9EntKllNaDg+2+nahZy+vW9thDr0YRlTVP4gb31t3+ZJhU/2 z0qxiT9oXnaUT6NCqWXPlp8RRk6WfLHAVYV13hZiX8SQW2iXZNRU4VoJ28VK WeSy4g7bKypwLHDnN2dtZG6PaHmxErSUlh1fXI+c0FoHXJVgTs07brk+8lBY XvS0IrSX8RhdvQmZOm/10VoR3oe+faOWyBMV2iWjCjBCKbw1Zg8ycWn3vMMq 2PRSr3mDO7KYetJVvhxUPfyjcdgT2YNWP1IsB9nNjDp7P+S6x7UHl8tBw+gT VXJh2J4Ke3tk4Mzrs4UP45H9c7OCMqRhQtLNUx/uIxeklioT4nDFMVHHgBLc R0UyM10M5oUekhljIVvl0NTXisEKpy23f1RiLzam2ovCMcqbRiGI+9gGH761 FDrlE2LaHGS2ufuaFCHYnRbMLunEjuOMrReCgac6cg278flHhuC/S2BcYK72 1n7c74DXTYUlsEzHwGnHZ3wfXx3Xhi8C+Sq/S9HzOM+M1HecA7fvvdw39xv3 mdxlweIDg7z1qvHEIrrf0EYPeT5wiJ1hJS9FtmKcYf1/BsT8L+3N1ZXIdTvu lz/gAfHNvCtUGWTqKs8FKg9k07zohXLIBCfCLncasMTX/SxVRC4AOzsv/ATD r4FcvTrO65uzLk6CyBca/XY0bLm0VzKTYKE8pbBdC9lfuXzgygRYlb3PuFMP n0exveP1A9h7f3fnmuD9bFZGzzgo4apclXLGlj4al/IJJF9P8h9wxeYu8GpG QeCub5qlO3EfiWMzkyPgr9raMhd3vE/rUdzBYZCS5tV0gY7zaUJt6wZBsG1D qncQzi9u/fymH9jwdXbqhuL5vObDxA+AT5/raz+E3eo0JdwLQo2vTEqcwPnw tpchncB2nKjq/RvPefLH974DqgWhMffjsIOD9zpxQJe4qahjIs4bCbvseAPK wY0OxXPY4kdtfdjgElM048t5nGfQbcb+Bdv6u/46n4Yd0HoqvB1QMyyHPTKw 5Uxrm1rBgl3RXa1/sB1pOgYtoLIs2rAlD3tLKmHwEqQH9c/kXMde0yXf1AAO Km17HlKAbWxSG1YP1ibK2YsWYU9PSwAI/pjGrHh/D9ubk+/9HPR8G3lb9EDw /QhXvgaku1f42D3C9lBU7X8Cwpcrq8tXYhd02XIrgf2L09xPT7DDyzNXVIBF nV3MpFps3UlhRxboHXxquhdiv2tO1n0InmSp/dGoF/TRHCeLQYbD+YbpRuzV NIszRSDiz0RyYzP2Vo/zvNvAscLDNatNsN/47T83gWZonWzgK+wJFfWmfECo aPUYsbHvsSKr88CHN2n5whzs44P7iBxQfXbmAKcT25+RdjUTZJn7ad/uxq7b XH0uHURNNH1n9GEnmD9ITAVOhfqVNgOC/+v39ctnAW1/9gmZj9hWAV0Gp4HQ yj+WwyPYhL7h0xgw0BAkUj4m2J/LUjkKnh1/1Xrqi2C/icPpKJCttzlt51eB 5ZPLQ8Dh4Wt71H4ITHmyzh8454goTU4K9ilTkvcALefwwbppgQ8Op28HIkve 3UmfEVh6wzITMPTYPMx/TmB2fAMV1Ibd3mDwW2B/pVczz3NUJXmLiwIThKWF xX/TKo7k "]]}, Annotation[#, "Charting`Private`Tag$7550#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0gk01F8bB/BftFD+Gt4oSnZRTEqZ6qUrkqJUKEuahqa8I1sREhqytCBk 60+SqEFarCH3GUtaMMmfV5aQJMmW5dVC3jv3nHvu+Zzvc+7z/H7nKjt7Wp0S oSjqMtnC0/zU4Dv+11M7KeHaq2q40ETeq0duNyJS0mpYjfXupKQVytkIzd7G NcH9a9RC/DSYQnvsLHLAFo1tBbfl2ELrDZicwWpRCtnzihyhT2gW+eFZ85PJ ThoexPyetNuheCispdYp6SwxN8zT+Dq2Zc9Uxsv5ECvptk/H41oT+dKaNF9i WqTA8RbWVTV8MqV4gdgrjnsuA6eJsHLU710k5k1rC7KwWF9o5lGNYGF9wOTL HFze29xYY8MV9js3e+ox9jrENndMChHOEynZVoA1+NN1U22hxIEu41Yl+MPG SJNouTDi3uy9WuU44c4qvvqxcGJNu3RHjM2X5xrgtAhiCcEjvypMXfp32dHu SOIrP4e/1+CS0YatY4pXidmqmul12I3JLIh0ukbsY+sT9BqrCMboSveuE7+Z 64xtwDH50pqHNWKI/3t1Lu8dNlXIyvrqcoPY0lsQ8Q8OrvubVmUTS+w2mxzU irfoa0fbJ8URq7S28dvx8lGfenVGPPEkb51kFx7KrhSfaBO6OVD1QjfOkDkY cU0uAVFccZf2lo/4YmNy7dFyYorZuXDbJ3w0vFdE9Vgi8Vz769x+LDF99lJF WhKxs3gbfMFfHpZXRhomC7+308/5K65mi85adwvddeOkzDfs35LgP6x4i9x/ Tbn64Si2jvpQ8oxPTH34U713HNN3a0yHOf1N8tTTqSbfcX9h6VmFe6kk/7J0 1moSH77Z4WqpkY4ovrRxcMcM1rZQzZF/Scx1C0uR/onFRN2+DLjcIfUDN59Z /8Inyv48BZsMkme6WXyfxTJasXS7pLuIMmr0KT+wAETCiw7gAWJ+h91zSREY 733vpsbIRFTG/KvgFhGoT1HOG28jVlK/5+SxEELECtddlcsirlh6omsJrDeL u1LgRczfyu9uE4PmcM+vnS+JuSGLt7SLg5qodh7dN5v0k2sPHlkGdXNZ9Jbm +4h6Ynu7mE4DT4PLN+a0HpD8gASjlgarLjqNa4QQ095tqHKUAs4PhYILG3lk njCLuSRpkJhM2qoYlUP69WWf05WB4k3nk/Z+ImZ9u5XcLQNML+uZsztyyXxz /j03ZOHxyPKy2kFiowVK/b9XgtXgFQNX04ekXjT2X7/kIeVDgEnxn0fkf/lr Vb5Sgl1r7LO6jzwm9QuT4rYrw5ADY5FYPvGhL3v+eqgMa4cvnMzXeUL6i+6Y T1QBT46+OtVFzFKpHwlSA2n2Y172tgJE8dyHh9I14fTltfY72MQsvbqy9VpQ kRkt/vYG8X8UaLueaQH74xnXHwMFwvf1LPD9eihmampbJBYiyj9wskpHB+zs 7z4e/16EKLvqaRXZTTDWabM0U76Y5IxpN/YmiGCKnbI2IZ7yfx9YuAkKT3rK lyQQ77fkjllvBkkPw/CLjBJEDQbEa6brwYvQdofFQaWI6nUx1rTTB8dF0cWl 2cRqWtkTBfowEWlE4wiELrKIlGSAUvSDF/WKzxC1kOZAe8WAwOTzunHVxId8 RXi7t8Pmh1KL14iVIyrWoXUt2wBe01+wGnWJeRNevHoDYD31rwi2F+aPquf1 DCG6pMfrYy5xi8reVUt2wiA/v/P+gQpEaZ4eni5BkN667+mmm88RpXKmtTZ9 FyybD3E0WwuI2l00HuNtCikcW6b2HmLHVbtohaag1qLNkvIgLpfL/t+EKezM aTvZWUm8Gd5PeO+Bspyk4lI6H1EJmVtyA8xgxHr4uYWAWHKxxNrUfXCEl1zv /Vc1ol7pLbHVtIS046H7TysTJ9Ddo30soU/avdFuK3H89lGtKkvwDDJ+a3ic uG+zVeKxg3DVaqR5ST6xhOiiVPNDUDlr3JG6vwZR9JCPTdGHQf3w6GDN9VpE mblXJe6wAflLZjtc7hJ3aPt2udoALT/j+tJS4h86B0+k2sAvMWv64T7i+DwX uTkbaOKXendve4Eojvk8s+YIBOiG/PnxmdjPukbnmC0Ilq9YQTd6iShX/bHq UgfwE2xHKVOvERWUrtEh5QSS9OLPr8XeIO7MiOeRjU6QFa0b9XvNG0TF3bUd 2u8E7/ava2eaEitNTLKuOMGG+hXe6knEtod+cSln6Hk5dr+AUY8o6amxK9PO YFaVLdkY0IC4I2Ub0ibYsLJIqnvBgreI+h1n0sTggGPUb5t+WWLnaEEskwOZ 7M/1ddrEKXlSHuEc0JYpK7tu9xZxZVXvBf/DAWNfVqLME5IzWGozXq6gn2Z7 P2FjE+Iq1yxBT8+AE/P+cV53E3nPts6TezygpM+k4a1BM6KiciOv9Z2Fatfb q+2HW5CRo5Kve48fTGsYLs93b0Nc3gGtz6uDQeRnHm21egfqrTZuicGhIF49 tXjl3S4ku6DPstMhAvTnWSXWj7oQZdi4ZZVHBDSEbRHUre9BRhs+FtcwroFi 7LefOaO9iNp2R6fifAx8m+npbtXtQ6zbGXd0DeMga6jijWTMJxQ7v2bFes5N kFR4MNbf34+UsmUvdQUngtUQc7tg2QBqMt7nOchIhv8DmbfOJg== "]], LineBox[CompressedData[" 1:eJwVlnk4lOsbx0erECLpyKmhSFpI06KDRyEpaoSKsjRKkn2LFCqESirJMvO+ 0h5F5bRQ3VMhZC2UJVTIMmbGEEdSv/v3x1xzfa57/d7P8j4aHL8dByYxGIxX +Pv/f/2Jh0s2zOkmyRftp2paXoER05xOz6jvhFFAYmxN0yHYoLhgzpse4qZg tm5TSwZ4sJhZF8p6iDg/bXrjlwzYvebYGbnqHpK1XNuY05MB/6xncSY19ZCO utoavx8ZMGnjdQWhsIcwNQctXBUy4bxtjFeJWi8xtW2VO7cxE+76mzODA3uJ /7ekH4o3M6H9fvGZOo0+wiS0ldY+LtQOTBEYLO4j+Xv1o2gPLvCXWVinLOsj WUU26SreXMi6WyK3ay3aT78N+BHKBc7N0nOt1n1E8bVh4KmzXOjmlZ3/fqSP sHmZdxofc2HgbOWliSqMP/fuj5U0D9reyQ27fED/Yp6d0UweVMvY2PM/9aH+ I2a6Sjy4H181+9S3PuI/kiL8bx4P/GOqL0uP9RG3aXJr9unxYDii9oryon4i Vm3K2ePAg3Gv+swlR/uJ25PxK708Htivcb6wIqqf+Mtw1jGyeZAr1R23KgZ5 4Vil0k0euKSNBhgn9RNmqlPl0vs8eFWittk2u5+Y/uaOLnvJg9PMfcNhFf2k NoOV7fWZB8qNA9ZlagJiqjx6tWwuBd5XQzdWLRAQpnN2pZM6BcXef9a+XyTA 9VlZ1LOAgtDJsxa2rkB/Pfu2UW0KmvRZY6KNApKl7a7yjUUBfeboDdXDAuJ2 InKWYDsFSzdM/+1RJCAdNh97X56kIP9uzuJPfAFRtFgwRzqOAtZstq1VqYDw q5fPsU6gwOh72vWldRivfPhM8XkKtp3T3SruFpDksOMLjnApCGyySQtXGiAd PpbUlwIKRjZKXvWpDhBmf57txycUROSm9u/5e4CYEvVXbwspiIlqNzHRQXv8 vuo0PgWpWgFdk0wGCOP4u4jxdxQ8C0gxOHsI7e9ch159ocCkZd3eCd8B4jbT 6Q2nk4LX5p9jfYPRXi0x/N1NQYWqdhM7aoDo+46raAkoaH3xJErl8gBRpOo9 DEYoYMi0VFL8ASJepu26ZQYNltkaBx+oCglDolpxcCkNrDR57VJ1IRHHPjJc v5wGZtJ4Z7OGkHSsq+uYrkfDz/AGzpRlQuJfFvM+xYCGe7YJLrtMhYRp/WlF iCENylKDDhOeyI/n6m7fRANj9PNsJV8hUdy/tbDekgaBoOKDdpCQJL++H+pg RUPpp+u27OOY70R4wGZrGsLzd9tcuyAkWXL3nYdtaWh35ZtbFQqJm92TM+57 aah0uDfZBTBf/anUTGcanm7NeB1YLCSmpaziahcaLq4NNuVWY79n1sVp76PB QkHHSPQV7Z/6UjMP0GAwVWV8cg/yC9HdXA8a5o9LFc4dQP/K0c9PD9LwX3fL 2o2jQsKX30y/PkRDzsvzqy7LikgWtJzM9KEhreCY5I6iiPjPbzsZ60tDzN1D D16qiEhyXxzl5UeDS6qZXs8CEWEMmy/WDqBhlu+o7j8sETGtXBvMCabht3tn 73ZDjJdaZKkVQkOfY93t/SYi0mHWbvANudgiRztps4hEM6Ls2EdoOPK3q+aX vRhvPJEvCqeBw9bf2bpPRGrLRkn8URq2nZJK/OiB/rd3z1GPoEG799pglb+I sA33pK0+RoOSeohWeYiIuD2INytCnti2ybH4qIiIZVmrjY7TUF/Qwy+MQXZd 2a8XSQP/+7PhfxPQ/9H8vGzkHLUzOg+SUD+P/1QxioaT0cuTb6Vh/r2+3DZk 30e/32TzUP9CrVCTaBocu2tGedmo52B3SjqyvnWga0ou+pcOZW04QYN6lNml 8w9ERD/g57kk5OkPZ79NfIz1iqKhEVnS2fUztgj11XiuVjtJQ5vqkxUn+CLC r0oV7Uau2BLPOVaC8y0XD1xE/ve4Y+qRCrSXu+iXIWfl61YE1mC/VRWP/0M+ +218wqdeRPJLmCcWnaIhbE7VykNNGJ++7fxWZHcr6sD+NuxX0/yLD/K2Y37p rt+QVw2FnkFen2da5dSD8Re2s68ja3+dJbVzAPOPbPN5ijwLbxVbCdZX6q16 i/zLssDTehTXN1E18D1yz9FYruUvtI82OH5C7tu51PMqQ0w6ejVim5DdxMqT FkwWE0bXz6EG5MaEX5ncqWKSzOHcrELeurBrtZq0mLjV7eHykfnPq2quyKD/ ZUHDfeQ1Ox8fUpmJ/tPU7dKQc0XU5EsKYqIYPKR8HFkz4TRPUUlM8pmRc52R 0zT91ybNFhO2ebnbOmT557vrZFXFJFquUyCPHOOw4XDCX2jPaH/egfMbEy6Z Ol0d802rqb2H7BuvRMfMF5Nap7c6ocidGuPrJmmICTO9vdgQuda+0ntCCzmz ofwhrucmYcG0CB3Mr91v4In8/DQv6z9dMcnSTe6Yi3yr0Ld+SA/15cyU8cb9 om6/yzfAAOMvLI+TR744QKRFLDExfX3YMhf3WyRzllGfIerf8T29Cffn8LOx hoNGYuL/JGLpIWQvu69+XSbYb0jrpGHc3w5xj651mKH+8NJT47j/lwkcZD/a YLzxpPo6PD9P7a0hkY16JyqzVyCbvdgYZGInJmKy51ssnjenJL2WG7uR2+SK FobRkKA/IyfYHeNVDlSr43mdnf7HRccD+6eaWDZ4vrOkRpRaPbH+HYFCWBDm f//1qJkv8rMkrRd4H3QHP9+iFI75Souap+D9Efj54e+SCJwHT0YijffLhMWd h+GROC/XyBPTvTG/aqral1OoL75CZhjvI7Nnfn15SRh/wawhEe+zrAnNRJvr YqI/2Fqctwf1efxlInUL9QSVU3ucaHhSrSApuIPc2DUm5UhDNf3LUT0P52th s8ZkJ9bb0Lik/xmuZ8rr5mA26o1LKI+vwXl1sgJbzLBfYdRxo/e4v1R1H+lt pCFgV+hKcb2Y8G+PRUea0hCv456+qxn70/UplTWm4XGF0SHtLuzfWk2xazV+ DxTE0sU/Ud+lFM4lbRrev0g8bTWB8xDpuz9ahOvrrTWt5g/qebPsQbUm3lcV TpObpwySjjjfdaPzkWNLJkTygyQ547GMoioNiuMZknkLBwnjgW/4vmk0yH23 aA3aivYY38IE/D5WXu5wGrMZJPzO28oq7RScNY9oimQPEvbNlR8zWymQzc5v THBA//WWVzM/UiDjPK+Odh0ktZmXXfZXUSD9QVzyLmiQMH/rec97SsEUyMxb yEXWX3VtcSIFzUbmm9sp7K+sye0Lvg/yCgUdGVcHSfSnfd2XT1Hg9NhYSekW 5pf22i46RsGDe+3BjIeDxG2qVqm7HwUu3IXrP7/F/kGxwN6OgqfhOcWpQ1h/ IiyEo0pB0qid846RQZIf4OcVpkyBe8ivHzPHsJ6VjkuCAgXyATaLY38PEsVN 26y40yk44ClKCJohIfn3WzhxozxQ2rVqO3uBhLB3GNv4NPLgMKuoacZWCTG1 fFh4KZkH/NqG3Kc2EuLWzAzTPMsDFR9x1EG2hIg/XKFzT/MAbmhplzhIiL91 CutRJL6/VJMDo92QHVvvJ3jzoGhsv+xoCHJ5811nSx7IgrxxZxbWm+O7OX+M CzlWnKyXI5i/0SQo3JYLrGUaJmQM7Wp513ZYc+GlfEcLjEtIctI8to4lvnc/ OKu+YgwRxpZLi8qNuDDs7Jj0RmaIRH9pHuxYzAWTQPaxsvlDRLHtZY3XRCbU Zpjsfr9piOgP5+76cSMTfvSrKXanDhGmqN5650AG/GtnOTnFfJh08F+ub2Wl Q9TmWLqge5jU9swxN/O/Alb27osdfwwT07zxVLC4Av8DQuluFQ== "]], LineBox[CompressedData[" 1:eJwdz3k4VHsYB/CDkX1kuZXKtTRpUJIiKUaKbHfKUhQxROFKltuqNChpEVdC KinX0qIRcwvxe5GlSBGia0kq8YiIGPv9/fxxnvN8nu97vu971DyP2HsLUxQV gR/yllKNuRM/Ocraxem0Pm+QBEYbzyUo6Y2xKHrPzfawa+D6+9sJoUZsw5AN U2F/w6+amO7A8HGWqXnljifpVyGZ5vaXPUPA4nZVx++6ewkUOv+9J1whYJkm Rp8wr4+CT4dswwpbBKyuZysbTPZHgeiZcMdNQRMsjsct+7sdEUDdd+N1y0+y uP0pTxY3h0FwCi9GvnySZar6qNBt8jiUaEeLywVMsSjefmGniSCQsw5eHUGf ZlF6heufrfWDtDJZKSO5aRa3QYZ5W9wPdDfl9A0rYC+jnO988gU2szfTQwnP t7ZcEFzzhUsL3NS2MnA+Xjg0O+EDtBdWiygjbMUQWc/aQzC2WY0K88bzNGZ0 bqQ3tK+pbzxZjK3GfFpm4wF3+uXOiAB2jLC3qI4HeN530Igpw/YqEngu9IA+ RsuJtCpsIVrHn80cGFvWqVxdj/slMib5HA7ISX4/pPgV53muA2yBG1j0iE0/ lplhUWZRXPMYF5D4xyrDcCF2ubCvvbMLvPa4zC6Xx46Lbb22wgUcOuh3mxdj PxC48Yv2AafpN4tpNey7VKR//14ILV8RZ2WAvTQ1p3iPM+Smshhf3LAFGhMj jrth5NSImIcH9g619PBVu8HAKau/4wD27aOaZpOO8FxWNr/FB7tfqsElzRGq uJ1ba4OxbzTxhgcdoM3zjHteFPaHyNDs6/awYNXzFO5jbMvxzG0Su8BK5EjY TC7Zf7bSpWInXPmo7nkqH9tk7+j1YztBLvmS5l8F2I/afTe3s2G5xL6CQ+XY 353MrR/9AXr9gmb2e2wvwcUQdxvYzzOQU57FLqDbV8ntgKf7BPR6apZFWRx9 U1RjAfQFRdKRIti6FyZWnrOAUldj8T5x7Kb7ahyBOahLbp/jK2AXJNA9e7ZD j5fdgK0mtiu7MKbVDEwWKvTPaWO/G4r6mmwGSc+bevN0sIdeDeTtNQNLeecv SzZg00LWP27fCg/Are2LCXZy+hZGrykELPV/ddoRm9HKHdE0garKNdVrnbCj jRpMC41BJehHRfdebNt09jErY6ivDi61dCf3Gg8m+28BvaMnnyn6Ya92cH5a YgTjb6MyHp3F5mjrLru8Ebjn74a3P8Duyubdrl8HMsfFrD1ysEtFRsUj1kGK z2H5Hh62M83XYMM6yLfZlP6Dj52gk/8+RRd65BoqhAFbNcLNslsHbFIpcc1G 7N6xe46RWtAae7A+p5n87/EpxqwmeIW/TtZrJc5XPXJKE8K8kjW3dGAvzG05 fJwJuVq6Nju/kfsuxM1FaMCiZ+5Xj06RvGcAPqpDenblnskZbO6B1W+C1EE3 RVvlLDXHogIf0q1E1cHqzDgvWhQ7N1QqXFcNTm+Lbbgpi502HIPWqoCE/q8b qvLY1AH9QL/fIVHDxTNDEdv0QXZ/ljLwJFaNPFbC7mLyNmovh+63SLF8BckP lvTaK8GRMkaHhQbxzLGc9CUwnXcpo5ZJ+u7laI0vht8S9xg0r8He1WxnnrkI LF0HnXo3Yg8Zvi1gKEJOr/JNui02t9S/xlQWom+f53SyyffW3dwldPCyH1j5 2I70B15NGpOG5cXFuX84YXNa6ioqJeFSrEvVFU9sVdMr63gL4OD2F5ddvUlf vM1MgSiYTWjZrfYhuUjb55c0mPCcbKs9TP5H+l7bpDD4GNwYljxJ5pPsqmzn 0PZ+6tl/odil7HffYAappPmcfhBG9juIpZpMo/cShmLW58h9U3aBbhMoD915 rXSBzKcw3OfG0dUQsfi+i2Seoxz9cAyZd7xffjGW5JuTmStHkWq8SbdzPMkr mwJ+/kTTFplZzOtkv+q9KzXDiJ97VO9lCrEC+7X+D6R+TtFSLJM4arVq8Dc0 a3hapiWb7Kc3avO/og8Dn99lPiT+c0ZV8guKc8rfb/GEOOLWy6Eu5C+9bMUi PjFTelDoI7Isi+j9+pS43lnGsh3NadmHnC8mzhJx3taC/vtYaLgbiMPy9403 oacJarOM8vm+n3Vv3qF4q4svRiuIDZXlXtWjgNmh6Ipq4tyF0zV1yDrfmZ1Q Qxyn32BRg1b6lCp41REH522hVSNKmflhfT1xRWWtUAVqb4hNFWkkji+YNi5D BVHjBxqbif2lQgNKUMJmd830VmLO9aaWAhQ4VDUY3EZcPJDI5yObDB2+Wef8 PdtXCT1BGvsST8p/Ig4cCgl5iIRlZ026PxO/zEjmZ6DOF960vB7i3qxNJWmo 6ETdq/A+YmrmvPgNlLhGP9bu+/z9vgNzf6Og7luOaj+IuT06SdHINom2dHiY 2PSNkP1ZxLT1/1g6Om9OCS0Y0YSa/okbn58vY2d5oK5/N/txJuf7U6VrrVCx X/pa3Zl5ix/0UkdJKlK/5ubmTVEF643/By8N+UQ= "]]}, Annotation[#, "Charting`Private`Tag$7550#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0w00VPkbB/AbW02lqH+KiaiY2nZ20qsSfpPXCm0aZNDsyEgjhWwlUoOQ UGgatLa8h1IihuQ+5K3yFmlVIiklEb3YEtX/cc+5557P+T73Oef3Pfcu2u29 w12BoqhjeE88t7r3tVS8dTemJi7XmPJfTJk+z9XNCCr2KW8jvfpSYnKhut2E y4qnu9GvNHSCj7AEE57l/+EobdXYXvCPumjC96OEp2mdaM3Mn1pitHbSwicy enyrW4Ir6wA6/+S1nlS6/2RbtavMF+3zakQjl94p+lIer/4X2r9ssWYBXW3K lFclH0arfbX/rYTWW2KU/1nr6MS86hdzoJMVhDm66YFoO/uA21U0oyckzYF1 HK2hK/e4S9/qbm2sspOgk+P7chppn+2irS6yYHR85lhVC82qGKn93B6CTskx VXxEd66IMI1RP4m+W/BT+piWXlKr0HUOQwvkloHP6K3KuYZ0cjj6unimSzdN ndhY6tAVgd7TlJ/VQxe/b1g7pBWJvj3Ff2Ev7SUQFES4nkYfumBa/YZe3DTE 0U6PQl/lv0vsp8/kzVlmyzqD3uylKB6mzTUzMt56nEXHKitofKSP115QqbSL JZSE2/D1zSd6zTp2DF8Wh/b7sabhC638/q96Xf14nI/LZfWO0v2Z5dM+tqMl lJ5YbZxOUf0j/LS6FHPnzjMeFAQ2JlQ73EJLMnnSnEngENatsMT5PObvDZxH FUBpxPdEWbIM8+fssjuT4c3VW+URRgmE4iY8TjScCndEiuO8rgkbWVdWM8C/ Teo/oJWE84NpBykl4EV3FpdUTNg7d8PNmcAxY42cdL2A++tb6w4rw6tCua9m +t+E6t4zY6d0Ntiee+q5jXURc5PAnamqwLZaksOsQ3M3G3bL5wFD0evNa49L hBKyDTf8Ox/+LP1xA+xS8H1z1ZjlTFD9NZbjKEslVIpP2pTVWqAQdtOGfj3h dS3XzLRhuPuxl45+Gu4Txw1/0ob6xEVXhtvRQssX9YLFEMwoXBqpnkGoB6lD 3nt0Ybll3KkCH7Q2FBEzFrSGeb/tqENznR2Vli4FHUX2Fc7hTNz/7mDh2DKo /Z7BaWvNItT2gC+PXrDB2zD07PdfL+P8493L+34HtUDXYVYwumJ93OVPHBB/ 1Sw4uiIb+0ldpRajB0qfZGu1onNw33/GCg9XQdHKQ7LNL9E+lcy5+1aDwIf3 xdcgF617pHHyGrg+qFxa3YcuMYsgpmthR98pQ0/zq4RScXvr0qUPiZ0BpkU/ rhHK/5WUm2AEmzT4GV3217Hf6u+VTsbQ76Q/mZGHHg4Onb6IwMKBo255v+fj ec17x5y44C1ep0s9Q+/1UCmlTGCO6Hp25voCnH8g0ok1hz2hC/kGInS36tQT DAsoS4uZ1nwWnayXsSXEAkQv9nl+fY22exi5MsASigTL2FbnC7FvZZkgcAs4 8lOvD3+4Sajs+MxbVTYw1GE3PY1ZhH3YcVu2bINwAcOdZ4p2zNm0smUbFLp5 M4ulaMrSuPnlHzDrgFFYoH4xoZT0ki2VbKEm5InTlCA5ocbtc4yEPHCZHFMk z0THptvk5fHgYwRXRdyEPsbsrh7jgXbM5Zp6rRJCbWZHDCTZwbGEQ3pxd9D5 fpWLu+xh1dXZUzQYt/B7mDZ/e7gj3OPUCBv10MdM+nd0OYLwhn/ZcT66qdiC 0udDTPFznxe56LsdHOd+PvRV5HVk2ZTh+TZkq/Kd4eKjLTdWnrtNKJ1rVJmD AGb8DHaxXAiEWm/u1STeDYninQK2BdrGNiv00m7QaWMLZx9AX2RejH60G4xz 2t06ytGjZz4kmbhBaY6sSM6pIJRF3eZ0bREM8gZuWzWhO8M5RwfcwT47od5v 5h1CPf7vvVeVGJJ3hVjvWYQ+yRJeUfSEnjn7Gx3XosNXSI3NPME7yKTZaBe6 0cTZrdYTIncMtk7NQzMefstq2gfl4yZP/7auIlTG5BLm0H7QtX3fVxVVjf11 hr7R9wXmCUsDj1T0RgdemNAXVPJSoqbL0dmbzO0jfeEbg8ex7UG3bJNGdfjC gwq5X9f6GkLZvxyxDTkIAXrBP7721hCJ9RoDiyd+0KQ8dy6HW0coZo1Hw9XD cKRpA0n8fA//D3mcSv8xmMUp6r3HuE+oc7c9MxcEQUaMXvSYBnpHZZa7TRC0 WC99IjC/TyTN2YZ7bwTBb/Vz/XRl6B9BZw8FHofndUNZBfr1hOs0c277DAlY VmbOagxoINSN1lpSEgzzb87umjSpmVSYB4hcbcPAJXrM7tW8ZkINqvxv9sEw SBP11teyMa96l/IkPgzYqqWlUY7NRDIYbV3UFgYmh4XnVfMxH22XyPjhsC55 Z5Z0xQPCVWOv+u4RAa6CrF3ZXQ8ItaZgnJsQCcU9pg3Nhq1E8uwUFBufgTue /yzgD7QR7jkrJ5GBFEZYRsp5+9uJZJ6ppmVSEiiMXlFZoPuUDJ8dH7X6JQXC l6fOy5A9I9rf9h6SL02H/wMHc5Zs "]], LineBox[CompressedData[" 1:eJwVlnlYTG0bwBuFyNamVCgpSehNZEl3iyWKt7TIVqE3RVKJFlIoLZIQ0kIq 2ixFaZk55x5USCshpJIk08ycM4lKxfd8f5zrXL/r3PvyPEdrz6Et/42RkpLi kef/7/ht1gOxBa1geCivJMwqC2sjjeur9dtBc5HrolX3b+PsxN6hPHEH8ANL TY5fzMfegfa2N4ad0HF0/YP/nO5htoBbMyXhC/ScX7vjHBThlJk5TFdXF7QM rZr+wvYhxnuXeGbM7Qbh8Jf5rotL8Jd5QZdX+DewnqJ/LH5eKQYaVRZPf9oD qt2iAb+OMmy/V3m2SUsAMR6pnqfPV2CjSEZoNE8A7LPpzfmXK5BvsNY2yUAA ejIWrvWpFZiRXzVpq4kApD6rl0/IrcA9t6vPtdoKYJBnpWHPr8Du9OfnvwUJ IIKJWTKbrUBRfO2l0ToBTNuxKD7dlottLyf1u74WQE+n6hSLLVysn7jJkd8i ANmLA4YdW7l4L6ZO6fQXAWj+Xr5Rfi8X/SLrL8sOCSA5LdbNLISL/ccaryrO 7YXligzFz+bi8P7m1PmhveAyzKLNIBcdl+26sCi8FzRVTy4eO8rFO5zuM0si e8E6QMWrgsND1+QB/9UJvZBsba+nKsfDx1Vq1vaZvfC8XuFCxkweRmvu7g+u 6QXVxgtenRY8VHwrsn2uJiT1z0pVjuahz82jlnWzhdDT7eZveZaHlT5/TV7N FYLL2xMP9p/n4VFpee3WRUKQNbh64O5VHr43NB5iLIn+79D9wzk8vHE29JbK ASHkphxZUPqMhwssxv/x5AohePrc2ynSFBbmF8xr4RM+aJ14fDyFxkp29huq hZCRyBa5yFFo+i05e0ET8eeMCX8VKNx8Tt+G7RZCSxDlMH4OhQHvNyWHKIhA dt90yxEzCn9Z9j0WqBAONZ8bYUnhsTtXenfMFEFZt4vcn7UURoa3m5npiUDq nFHrN1sKr+j4fx1jJoKIzCDjw9spLPdPMor3FoGXi4aBZyCFZh+X7xz1Jfaa 4oZigih8suZTlG+gCMxvrUi/FUphjYrue7twERhaWO6sjaCwlSoNV74sAs1C N5+GeAqlJn6svc4Xgbt164m8LArXZ2rtK1IRQ/KIbVlqLck3eYputYYY3C8s yq6tp1AzYbjrg5YYvMJ8ewcaKfwd8maPjIEY2IfSUavfUHjXPtZ1q7kYDA2s iiM/UajIkTiNeokhUbopgSMi/gY+KSn4ioHvd9HznZhCobDmte5hIs87FZ7D Uljdkm1vFyaGsqDfvsv6KQwpdNmUdUEMPXnR6lOHKWx346/ZUCEGc/e6w/nj aax1uivtimIo3PWjWHsCjWU2KU8CKsWQOzlU6+pEGi+aBJqn1ZN8St8E+Uym ce1UPVOmUwyNH6SGGhVoNBqrPCzdIwbVknWB6ko0zhrmVKiKiLwryrsr0zjY /dHEckAMwY1y99+p0FhAn19yWY6BQdNDzhEaNCYXH+/Lm8aAX0hMdepMGiPz vYtoZQY0Hd/aFc2i0fWK1eKe2QyUOfgU1mjSKO87oL/KmIHnYtXTj+bS+Gdv 1/d/VzAgxbO9k6lDo2BbU66HGQPuDcKeGF0aK9cW6CZYM9DxbP81Kz0ag2a6 zfm8kwHrlxZP/RfQuMfO0Ll1NwPLRwrq9A1o3HyaE/fOk4HGMfpabYR1v2dJ 6vwYMPTVuLlkEY0KGkd0Xhwh/hpCat8QHt28bltlKAPTOJRZwGIam4t7+BWR DETUDP28Zkgj/1t5f0kskQ/mrNT5h+SvdlavKIHkryP3NJ/wqYiFiTnJJP/v hzOzjWj0ffjnaWY6yX/XuEHVJTRu624YSM9kgD3PuRBN2NA2wC3pDgMu7rVn HYxp1Ai3unS+iNir6RcWEh7/QOlZ3CPi74JJouxSGvu6vv6O4jLQ8tr2yHbC bSqli07yGSjcJ0m9TbhmY8ye41WkXs3d0iLCJWHbrgTVEHmnH3cWLqMxo1C/ JqCB1OvT5ytehOO/DI8ebCb+5U89TiccPL3uH+/3DMj+m2tQR3jvhuv/ebSR ePIWtvwivPn4oWtuXxjoETJP1UxoXHnfvG57D6lPShOznLBupzzHWUT0ReU7 7AnLK38xtu8j9t8ljfcgPLK+2Mt2gIFgGYcffoR7QqPS1o+QerV8nxVMWOC8 wOumFAsdhxziQgi7s4pjZkuz4JWRsPQI4bexI6lpY1kIHryueYCwjfbXpWqy LPhhvM0OwnxeXcPViSxY//R4tJbwMudH3sqTWXi+ZcVufcJ3mOvSl6ayMG2D pu0EwnNio9OnKbCwnLM0qJPklzzHzyRBifDOq50lhKfwXJrkVFhI7DuQcJpw pJPFgdgZxJ9ia6gN4SHx/LHjNUi8lcq5kwn7xijciJzFQswTm+k1pP5dWsPL x2gR/bCSqgjCjY61PqM6LEQcnfG9lfR3nbh43DE9FqTUU3adIsyLTs8Y1GfB znqH0hzCORW+zT8Ws+Be2L7BjsyLhuNWX38j4q9184s2Ml8XyVHHGLNQdtg5 fh/hE5rypoIVLGiaVbTtI/PYXz70Zp8pCz1133zbyfzud+g89NWM6IfZrbEn 7HTmYVaHFQv8VXl8bTLvBkInuXebiP4W58mRZF/KHG0xzo4F2YZL6jTZLyvK 8rCZAwuNuSf9JPo0bk9Y/PGWC/k+L1piNZ/GWMMJBYF7iT+fjfuSyf4qXfvr qufJgvkC5nEa2e8Mzi+FVi/SvxK1/SnaxP6rzlArXxKP2/fbJ7Vo7A7kbVQI YYGV/i3+S86TgE8P/lQdI/q/V7+qVyf7uTbvQcgJFgxD/eWuqhH7KlfUPp9m oWWbfaSiKomv/JDgfgLp97r+Ih45zzJG58RtyiYcx9NsGkfy85xhxskh82Fy bnjpWBpL66f2FeeReCaVWiRJ01h/Y2Sbxn3S30qL6auliD+Lt/N7y0l/sgom mQ9RuP1M7IuYBjKPSlG3Jgko7BaHh5m+YiF3t9SwbA+F/luP/sM2k36ZzX73 5yuFMXp7r239QOp1vV3/3WcKH9WYeut+JfMXV3V05XtyH0xlZSt/s6B3oNCj rprCV1Rc9IZRMn9C76T4Sgov+uiMa/hL4vOwWr3uCYUKNdulP8hIIHh8EieP IhxVNcpMkcDzJ0tiDIopnDac0qeuLQGX+VOXLcygcNK3ta2HbSSwPHJAVZvc j7WXO7YPbZKA14My46X+FMavOfb+hB2xVxQ+0dKXQrnMwrexThLg12iJbLwo nLhLvemGG/l+MbRecyeFsq/ZqpeHJWDu/XJCE7mvZTD1vnaaBHqUGsx3TqLw g+ka6/brxL9L+q4wWQrvVwg7Um4S9jHNTpYh9Xu0WkEhRwJ2sct41AgPi+62 B0o9kEDH7g+BT4Tk/ydNe+WnZxJoyUrhlL/kYVlIQeWVHxJILrnHBETx8IAx 9/0Emz5wd4uZ1N3DRX7jmztlmwjPHJxQ/YWLygfZ8H12fWB+7bb1zTYu4i0d 3SqnPohZeSl5QzMXFVUSAyLcifzRCsFu5CJ3yENu4Egf6DllpxUncVEOp6zu yuiD5HXnE0dWcbFgw54M+lcfWHeOGe0Nq8CfvWrTuq/8gMa9B7Nm95dhicN6 6aQ1/RBs5F1+SL0Uw62jbhR390NMzs9Vc9aUoNanjS1ZUT8huLJ/o8DjIa40 iUyaYfQLpJzyo286FuHOWQ1DnNe/wN3xTKXaq3v4s+Zcp9/JAfDzd2xWoPIx WcY1cMvcQZi2u56Wn5qDim0lmWMqB8HObLj+1fUslDpl8kTjzSDwFVc+PEn+ 1/8HIohJ8Q== "]], LineBox[CompressedData[" 1:eJwd0nk4lGsfB/ApylKW0eQgjEG2cpIXWcpYyjtjK443shtEKjQlqaEhhCwd SUWvRFEdoQgden5jyXLSm5IU0SRZXgqnxTbMuW9/PNdzfa7v7/7e9/1cD40V 4Rq8mkQicdGD301OAeb7++bo/NyByHrtYiDd9a0YklugF1Kt03hmecDOq8iQ a1qgWxm9OxrjkgNPtqSIk8MX6aT2/rAjwZlg8vqX59mRi3SesPXER+tMqOSU /k45vki3Ulw6G6aaCUXPW5UUTi3SuYIXd+t6MyAlYo0+NQHlj3g1exwywLUq wUU/F61fWySqZZIOo+axeUwCzZ9RXlTYlAZke/bWBGkB3SqDwktST4bCRpl1 5mQBnWtGrDq/KhkMzO6Pz2xAnldvLuQngbPOWEmAooBO2iTerXIjCdLW+tKs NZFfG5+3VEkC0WamPMkcebJPT0U1EX5a0EhxwQI6L3+aGWyYAO/1u7pjGlCf ZHAL2yEWbkyQY0UAuYRiG6kYC6y7v2llNCKXzeVfG+XAuGbvqcJW1DcTOBqR yIGfmwZV2rpQ7uq6bQvvDJAlJ0Mon1GerFk5SD8NdiNignKpJTo3cXAvwz8a JG4xb5vKLtFJj/wSn/4rGjoDLjg3ySGT7nSHi0XDbwPSN3t+Qe6nt+2pOAn+ rzfaCWjIHcfV1qw6CWeaNC4yTVDfIVmfv8pOQGUBXXPYFzmbosfezIZvp7+J BQQgV9e27hAeAxP30omBQOTZti7td8egXkamqjcU9T1u1TufcQxauYPWz9jI Qr0hm7lI6GfF+j1MRt56VMnrjwhYq12fxy1HjpazTfc/DEyRiLilSmRV7p5y 1cOQ/kGddboKeTmlUXMgDMhX03RP1OH7PCDLeIWBsoRnXUgTckF8zFvPQ2A4 Mdfj/AaZTdYzCwsBnwoTssoy8ohVOKk9EGo856S7SMvo+6V+/n4hEKTX/rn+ nAiyztsqh32BwPPeJT4ujvyTT1PrY4G65G5h9QZki8xO1t8BMBLk8sVRFzls XbeNsT9Yym6YEG5Bzm50K1v2gyv1r8ce/oqstLvv8iU/YMh5DCsYITOKPlaC L9wD3/5hS2SOhoQIzQfClY50cNyQMx/Izop5QutT/bZt7sg1TDHzOweAemyq ZegA8mBM5C7mAehqY/MYfsgm6ycTMzzAMCqmlhKGPDxwnUx1h9kXybfLzuL9 VZ3mgt2Am3Qz/v095Jzeb9Iie0EqWsw+4D6y7E7nJI4z5IUelRupwOd7z7ec dYIqB7PiqWrki/JTMdOOMEJ+2bIakBV0VUX+tgeHApK4bjcyn9CcM/g3vM06 2HW/B3+/cu8wwg6C4juvGr5FbtdXUHCyg7igq7o7B5A9CmY0wvdApZ6Bw95R 5E7/si+ELcjX+mVGLSJHbu9ozbOC4jtP9y8sIU+XJpRZWIFB3hbqWZIQnUfA TqmnAzN2tiJlDbLHwLCUgyVwbLNe5ssgM1g305MtQML4xzU1OeTpzhSXfnPI 1fJi3aYgm/J3RBiaQ4WE9rdyRWTZSzPlo6Yw9IKgNGkg35FpoISbQAT6y+y0 cD/j64keYxA8TLv9TAdZJ9+HRjeGjbn7TXr0kbmXd3ooGgHD+6v72A7cR82S Gt8O98dU8qUd8f56hXOjWyDlv0n+g87IlYP86k96EOT6ZXO5C76P7c0Pw7qg 3NBQ6eSO++Kuh85qQ1qWV2s6C5nkPn/NWxMO7m6+4B2MbPUgXPmcBtjM67ls DcX2Z/aVq8M8a6H/2VHcn2c0uZEGoSbXZiRjkHkxfDNbZdg9QartO4P7o6T9 hpSAWhjKuReH+5Udzl1QhDcSpmL2iXhe+L/kRXl4SNzoVDyP+3/K727aCJnH xbLHU5HVXoU0ZFNgz8Ab5dQs3FdSf3mfHKhlWw55ZCP7e5x4uYsMAruSUp3L eL3S1VgjWaiujDJsz8PztIbyM+tBPZHCECvBPriQylkDy6Ycqd47eH+7WyfH ReDdl0+vSv7A6z3IYyGr4aJ7lY/dAzzvOb95u5A4sn6Thnw1Pr+n+rMcAcFo TBj7XIPzJ10DiguEUM/1eFIDzlkFack/iL4Pj03/Azi3zDQ/+o2oyaEtazZh C6nnjs8Q2czU5u8teP5NR/v2KSJ8eTqlpQ37/5JVjycI+yoP55y/sE14lbFj xOZQ3oag59iKO4o4n4n3L7MKRLqxjaKKtPhEXfJsYHcPtr2bb0E/kWPhp1v8 diU/7OLVS0ROt35l92OLXmfEdxMOt3+tthnErtloJ9VFaHnmxsh9xN5XuGuu g1gts2w59AnbcXEsp4UYbA4WfTiCzWPWvQLiz1PPO+LHsbkWj/triVx94yyX SWyGg6rRA+LY0HU32hT29DqfS6WE4xVRpZkZbCu6G62A0HE88oH3HZtkzTn4 OyG66vWti7MrfeQ8ajzBf2QR5r+wkpdStQ8RDWHF2wyWVrwzSNaGuEJd90Mo XDGJK5vx5B+QPuGz "]]}, Annotation[#, "Charting`Private`Tag$7550#3"]& ], {}}, {{}, {}, {}, {}, {}}}, {}, \ {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw12Xc8le/7AHAjWX3IjuyVShIyKi5RSUaKrIrIrqxzSltkpqKys4qIyB4Z zy2z7BkSSvY6x84453yf3x+/v57X+3U/436e+7qu+3q9Hgl7j4uODHR0dBg9 Hd3/Hc85TnVWTztqhdg78O++31CxQ1fIc0TwFDyqOirxamOxSjk5NqFQ0AzY JCRlDpsKYmPC0n4+sjag7JEtMOVwBDNo7StIFHQAdLuUZNF2EpN+LvKBJuYK ycMbo13M57Htc9dj7GTdwTlksuzCDUtsJqCnzi7aC558zX7mPW2HWTisV70W JEJ/pKD4x1UXrE5XqLQ24Q405keJXi7zxBSlNPNWxO6BldtNjcrS21gCw7VM mdQHcJbr7XCl/wOMZdT/vbnsY+A2ZzbQ5/LDyn93tdaaPYGcAWxusz0A8zRx OHcl2g/umvaFx9KHYrLVqw0rff6QyD8ewp/1Ahs6HKz7QjAAkqq8MpKcXmGR yXuqZS4HgirzSr+5WiR2jjPrBJYQBLK8tqpLZ2MwOt/jX8yHg2FO+26caGI8 VrLQcpQkFgqTWZpZ948mYTdtbAqC7Z7BDHeSfzPrO0yyjaQgnhoGgXuWkh4I p2Ivc7jlLsi+hPEb0JOVm4GdFklLm3YOh9RvPrkRR7Kwxw3xu7+aRcCJ03uy JgayMRVV+RdW0a8g3ipMV9MkH+NcIDbLqL0GY3b91O2RAmzmQxXrUt9rkHld vf9oQBGWwnc+6JlgJGQ5Zv0+wV6GPWiNqTMvj4QuRz+NxIUvmHngbwapy1GQ 94hLOW6yAtu16uVbkRANjkVzGuX/VWOT2eVVwZoxYHaXXfjmwa9YjQPjtulw DIxV9Vl7mtVgd3si786JxUGGEu/g3Lc6zPT5UElZdRwsJxzZfsfbgCmckl0N sIsHPi7u01I3G7GxwlIvkdS38CpFNIyi1YRdePPTzVg2CaKntD4+P96ByRtI ZQo1JsERIrOoKHcnxsJ4c3LCORkanr4SZSB1YrZfqPnILAVoNwTclyu6Mb79 EQqW0e9gSKlVqTm1D2MILDLCJt5Bj8bmU53P/Rj5d/9NabX3kKBc5OyGBrDm WIlP5L73cP6X1rn11UHMj6VwX6hgGphV6LZEWf/GDui9CinwTINOisVoJ8sf rCvQY3qwMQ1upvvoH6r4g0kzyn9SuPMBwp7/sbSW/4s1UNIUerrSIXZhVFTp 5ATmceJpOGV/BtByn+/l4JrE9jywI8v6ZYCpiV6I2vgk5vpPpODe4Y8Q3lPI FhI/je1ajj4q9jwTnnls+eVpzGPFR25Hn/2bCZWrtm6h8guYjafputexLDix J+ZyvxQJy53n/FI3lQU7XtrHroaTsYtTISfcTmdD/vUsI6WMJSx26L5uMfUz 3D/yZofaqXXspLBV2vClXPBdE7p3ZXQdm7FWY2LJyYXBh1Ytw/7/MNG5e9dz DuWBeXTNHfrmDczDVVWG7lce1GcfVlj02ca4HXI/flAvgO4VyrMtSXrk9FTU 6phDAeRsWDteDaRHFe9fsLaHF4Dy7QqGrSl65PDnhtu/iQLg7JL3mitkQMU2 cvIGUYUw9TtqrsJyB7K0epdLXiyCFP8dsqnDzIg0aMb2XqgYBoVimw8bsaAg GxZHU91iOO5l9KO/kgUVXvcQKokshoxdiut+yayIw10z8IFaCQxOyLBperOj ev8B652PSkEx+f2uEiNOdIXpRXHph1LoR7xGmm2caClYe7drWykwdCV1LO/b jcRfZNQ3i5UBj6vPQ9NPu9HDmNuKr2rKIHniuPh8GRdSyubaKcxSDu8E7qR/ JvGg7wr111oVy2FWr0dZTIMXXcu/W/HYqhzCFH1/Sz3lRS9KRjz/ZJUD3S9l mZk9fGiqOmcw3agC5vxt+d0N+FFSr37+kTeVYHP69WWPlj2IneZ3RU8UQeFN zWP8IIpiXS1s5M8g+M4kd5EQJ4qke+SvcbkjyPH9vmC3Ioq0MvuuD1YhGEzS XFv+JIa+ZEYXlypUg5Qpu/dahDiaN52rNGirBqaxk2tJvJLo0seYZsJ/NTBK EwvvvCiDEq76GzpJ1IAmY062VKgMGuW+1Wp5tAZsNkQkEJJBHo902jWv1oDo +nWerkOyKPTifBdzTg0Qq+qUXf7bh6q2dX6+NayFU+YnfS79lEMyFxamasPq QHd8ne3gJ3kk5Kt3zPldHSSInE5kJ8uj3TkpYWyldWA0UKalc/QQ2mQxVbgw Wgf9Xr9j8qsPoY7qUsKwej0sX5FeiRlUQPcV/aj/xuvhz8FvEViEImrj5OVV 0G6Em3R3VErWlJBPmwbErnwHC0E/w/ST6ohDoXj8O0sTfPv+ZzrnhjpKe6H4 fEu4CayYVHIGotRRp+G+AZvTTdBbORCcOKOODjbzEmSimyDlaH1Zb5QGGmkk pReoNcPXEWtF+uVjSO/rB47W+y3Qa3zele2bJhIo4hqmp2+HJ8IJGV7zJ1HJ qG5L+4ku+PVs955vTvqoxi1xr9VcDzxK2tllMG2CVmU1OXNu9UGu9HneiZOX EMPGp917ZX7Cj0Vs4rSlNVKlXSsx/fwLrFNVc8au2KKWAJW2hgMjcPDZo4Ay DXskFjG7kbnwG4L7+u9Isjii2fWR4V7FUZA1zpDM+OCM0mYqmjhe/oVG/WJJ wVtuiEMkgzQ2NgaSVz5KN7HfQs9di51SpCfgXOjvG3utPNCa9qcxF99JGG42 dArv8kREpboi/topKFPz3Ev3zQs5qYinvPo2Be0DXLF/m72QperDsF1tU6Dd OFdY1+6Fjh9TsWcYmILgDuM63z4vxKCTxrmwMAUr2WTpgQkvFH4hwK1eaBoo GwmdAkzeKMvzlDjRexr2XFKxqwRvNPK5LqxTYgZfn0Ngl+ONOuZ3zCntmwHH sSKWyDxvVC1/2jBSfgbMhC5r1xV6o5Ss+l0WajPA8ZNjTbjcG9mnN7z4ZTgD YU+DbHMbvNFE4rfwSZ8Z2PmWbGIx4o3mn7e8obTOgH2zAFsOBwENN+9aseme gbyziRVhXATUxmZkVt0/A3cyRKqceQnoc0gr79O/MzCT6ZctIERAngFtUSwb M5DFICdtIUNAKw86YnikZ8F1QKPI9DgBbbn1vN1/fxbOzZ9213QkIDPVq68U fGfhUamoVJwzAWXTTwQpB8zCxbUx1yVXArKJXffSfDkLnWW5WYnuBPS1Xujs hfezkPskYfKHDwEFi9ut3G3CryeSartDCYjnx7zhN6E5yPx7smvpEwHdfHdH p1VsDhQyXaNpOQRUd5Om1iU9BxFm3gOseQR0h5FL6pfCHLyrWRzgLyKgAUWV DZLOHJTV2hRzVxJQctj9DwI35kBIYvDqq2YCOniSmepUMQcXN1/3p08RUF7W p3391XNQx6SYHzxDQCq8Jhf0G+ag13UywHGOgE5MxqYd7JwDC5Uze/eQCcj4 xQED8sQciN+9tmy5TkDeA0ax97jnoTGWv/MsExGt6Sx9nRGYh+q/KvwbO4no QXb07GWReVDQszNKZyGiAN8RLS25eWjZXxu+zk5E0TJe4wxa8xAXu3HpNjcR ffGKVHruOg+E7t7bQ6JEpDWofoXiPg8PStYSr4gTUc2poUB34jzcE+bO65cg oiYB2QET33k41XIpolGaiH5VlfryRc0DhzafypMDRETHNtiSVD0PelndqVeO EpHeewnnfIEFsLeWVUZniUgllkO2QXgBLjj17PqmT0TiL7fGfkoswPdm8wNt 54ho816v/Q75BeBJLTncZUhEORdCbSy0F4CLUezKFxMi4qFfvERxWYCRuRUa oyX+vPUhXm73BfBR9V37jXturqlblrAAbjs/y1dYEVFDf9oFk0cLoDrPbOF8 mYju5Vkapb5agIv+WolJNkQ0Ylt9Sr98AYIONGAhDkTUcimH0QYtQNjfiUgN RyIqM4iv8a5bAMskyJjE/VqNqJ3QtgA36/p9jzsT0WlOuROk0QUYvP1666sr ESkx8W0xTi3AqL/55ytuRCS6RV++Zx4/f3D87QrufxODajrrC9CahckK3ySi T1i4chQ7Cfg959f03YkotujhUuZu3LJvH7ThDshyzcf4SGCf0K9h4kFENtG6 h6fESEB9R7A38CQiLvf1A8dV8HGBG9fEvYmIen1s+rwGCXYTunJe4p6x6vzo oEWCiVNIeRN33elPsi/PksD7e8HUNwIR+YjYSv65QoKp9YXlU7eJyN5E0fyX HQk+/Isxfovb+Cn9sz4n/H6J77YXcMtOpy62epKg+Pzjiy/vEBG38G2Z77dJ kDIuuzmAm2J8xqruPgnSFAZXJH2IqKdoqro8gAR3vwr+zcZdPfllpTiUBEF6 vj/mcX8SCpPLf0kClY10Yfm7ROT/5FBERiwJ5hW3UlJwuxdSa98n4u/3kWXk B26rifb1xPckuKQQ78F2j4gUDb1tI7NJcFKSJ8QVt7Cv7pvwfHxc7Q9nFG7m At7GZyUkkMqkm6nCvTQ2vhlYQQLhSCf+MdzDAqUKftUk8GlmiWK+j8f3uRD7 h/X4fAaGHOVwFz+yivZpIoEk9VfIGdwpeQeavNtJ8PMIlWKH+/nfLcqtHhI0 Sh6rv4/7Ln/rEdcBEsipPhuOwH1dP8nRYRj/fiFT+mm4jR96xNn+JYHT7Hnm YtzHcrVbradIMDldwV+LW3aUi958ngQKdXJ323Bz8f1VubBEgiyvNwf7cG/r FbkYrpMgI2VDcQj31P3ABL1tEpwpsQr5jXvG/KDLOzoyhLcVHPmD+xqZh0GM kQzWlTsOjeD+Ebr9NoGJDLasJvd/4jaQGj8qxEIGlbUowW7c1ZWt7TFsZNC7 38/2HbeqeYkr339k+KUrZFyJO5uUxPiGkwzCZTZ/s3FLhgYn7uYmA20psyke d6ykp9pLXjJYNdLtCMLNUWnZyS5Ahm7MJdwdd8ClkzdCBclAEpy6aYZ7Y2E/ E7MwGbbbAxPUcLuHcCcHiJJBNFxfdA/uMYktdQYJMuhXHl9axderw6zlJkWG DAFBHRGZuM8sFO18IEcGT9/gy764K4MTU/4dwOeXFHX3Iu6Mcvee5cNkGBie zCTj8SNsZuHupYSb+wxWgfv1PLCQVMhwI+KwTADux+JcJ2Y0yMDi9HtmF+6V Lxu9zifIkBzYqN+Kx6ub6ajHuBYZ/jy6t/UM96WgwtTfumTIvBZoQcXjX37u EnufERnSyy1X6vB8KTMzRM9MyGBz+L8oF9y6VToELVMycNzg282K2/rl4cEP lmQ4zxkfpU0kolBF1k/E62QQUN/4E4rnK28czUbOiQz9+5oseXGn0K9x/3Ih g7fqZtZbL/z+XaP3dd3x+QnuHk3B68EEsfIc9z0yaLLfTsYLN/IeKqDWP8C/ t0j86totPD9PZxbce0yGqWoXOUfcvALRQn+ekiEkvVxaHa9Hul88ZnJfkoH7 tcejMryepVAknxmlkeFzp+EvSbw+yjsJatFnkGGU6z2v/XUiKm3jXCrKJMPH tCX5JHsiakvethLOJUPci4fUXXb4807+2D/7hQz/BvfL11/F3zco9HtIOxmG 17vnks3x+S74PjrRRYZCnk7dnEtE5GVx5wi5B4+/I/y+pWZEFCJ3Pc7iJxk8 WnJSay4SUUnTCVfZcTIQnmM5hcb4fsBJZqnbJANqX/+P/gwRdVU9C9ankIHf EdzJp/D1vSmzs51Ghos/pEWHdPF61WTN+HPHIkwOrd36fBJ3YD2FxLEIDJFi PxQ1iWj3VvzSXqlFOF9zkKNYmYh2TZ7+RTBYhMqRFs8qfH9sifptvWG0CJo9 RQ4WInj+n3ow8NhkERIb2QsX9hIR+/u8H6GXFqHZ79U1PkEiYru6tzPZdhH2 vSGz6vIQEUs3ub6ZsAhtTBSSGDMR7UBvc6USFuHnLRp1FN//f544dXYkaRHU P06NMc4SUG753O/4d4sw/JsTSUwTkHWJJjd3xiJI8gdcNBsnoPycESJdwSK4 5cszRw3h/U+C1LGhxkWwYt1QDmwloLJ7n+qilxeh201KSQbvb16um169uLYI hgnmw+MfCej67e3V/zYWoS6Y+iY1nYA4vIz2BVIXITzjjSj/ewJydCGFEliX gOevVX1fLAFxWyifNxFbAtrRDLq2QAK6oVIxwGqwBMdNxOLDrhJQdUdvdpnR EjCLaR/YsiYgvltkX2eTJfBdtVl3tiQg9EFGtv7SEgSMNRhomOL9l0CE95Nr S6CRXr1cfpaAKjYc2NdvL4G5yMH1Y8oExI44NMdSlkAzI+yz8k4C+qRvn4Kt LcHCA9McjTRvpCIvoQUbS5DQVLuu+s4bYRy/B9HWElju2vOfUhLe73ZfFfhK twz7fLLfSsR6o5WrVi9r2ZbhkpOT7USYN9LyNnn4TXQZWnL2HGMm4OfHa1l2 nVkGTGZEMhvvn1dnhXZPRC9DA1LvLezyQsWmeoyRp1ZA4lxPX2azJ/I9G5hc NLECjQVC2aNeHkhi6Fx/auAqlGwdjh3efwsdUwuIFFRagwHj0Yq4EDd0RbR9 g757DVZP3TJ9uumMVptejHr6rcOYjtNzPVlHFLvDhnhR+h/sZkrx43xij3iG i98z1P2D8opYhrg/tojpkZ+ZhtcGDPban+nzt0Z0mTa5o9ybUDKoKn6q5hLy js99wV2zCYbfKFty2yao6mAIC5f7FuTEWZzeCNJHXOe85f05tqEx1FbnaaIO SvnKyX6MaxseSz7XQ346SFEjZ3qRZxsirsl943DSQcZyU+l2gtsw0cVmOaWg g57ttJE4Kb0Nu4B6J+jrSbSjVp+f7tg2SBVylxFntNHacQm6x47b0KNYJRce rYV+Herovle5DeziZzqUItVR8izXI0a0DZkWbwfaXNWRfaap7Iuv27Bfz/1m OKijaem+uykN2/CJnWD4eFYNre0dFmns2IYiHr9antNqiIttzpl3fBv6GPm+ StGOojMTzNuf/6MA/fuQRaZwZcSapv9BfTcF/NN0rLVdlVGLXZhxDTcFoOGH YIquMjId4njXK0CB3yS7gvZ/SuhaD9+ZbQkK6MdE/iA5KKEHNVIR+qoUeMBx XUD91BGUlwTSYzYUSMZW3di1FNDy/WVmOzsKuAiImCpTDiFVi4zZoesU2G/4 Zy218hCq4OQs7HOhwG4phkDbE4dQw5Phk83eFAj2mTihDfJo0P6RbUEQBdjP 3nn76eIBtHNfRfyTzxTwrnunopkni/QZPR5T8ijQ2Tu15X9XFj0fkbS/X0gB IVXrJq6Tsogr9tl+YhkFYsXU77N1yyBhVusy5xoK5OxIZnXZlEZKs/96jX9Q wCPNyr7LXApdzVXlEqFSIKCo/ZzRGXFUYv2Po4OOCkEXpaIqecQRx87yXU8Z qXA2eEckQ60Yqr6iyTLNQgWRZZ4Evm1RJMl2ilbEQ4Ucke/nj90RQRMOF+YN 91NhvtXvo9szIaS1m2eWdpAKFs7/CHOHhVBMRc9UgQIVtP20EwV+CKKz3JZj e1SosCfG7Y2rtCDKQjaDY1pU0LnyPvvfNwHkLnTz+0MzKrRrWPGnH+FDDfWH Gg9bUKGvvc/58x9eJOZFqhu1osL4S47pq695UUejd/VZWyrETtZ056/yIKXb 90p53ahACs4Lk6vjRuvtQR+yfakQQVirlXuyGz0JfOf3K4sKHvJ1tynjLOg/ H+ZzdjlUqFR6G0rnw4LiXW5xT+RS4bjGySIhVhZUaKCRSiqiwtW5GZ/Xisxo gquzjgFRQUhE8pH/cyZkkETHsr+bCpQgoaoVHwbUH+7UkdNLBZ+BCz4KQgzI wa8lVqmfCteeMIn6VNGjxw6x+08MUSGSb3FUiZke5R1QNDg/SYUbWcKuwcY0 jL/U9uXtLSrsl88xeKS0iaV+rDffpFBBUVBU+njsBqYYf1DMl44GN+5suTLQ bWD6j9ZzQ5ho8CQk/3FG7zr2UDe88y0nDWaeJHtKxq1irEdX48S5aRBn9uQB A+cqFi172f4DLw2sPNnnR4JWsFzWfcufBWlgc0Q17vnDZWy0HeOtkaKB5b/k sce+i5jHV+mhM7I0+MwKQsJMi9h2wbMPzXI0yFLl08t8Tsb4os1Vew/RgO76 fMEeXRJ29sqCxZQaDQqfHnd9WjeL5UyJvOUwpEHLdN+464NxLCQx8NqwMQ0G z6fpJ+aMYQ4X52U+X6BBDa/AK7Oxv5hwZWWekQUNtD8bhB21HcWehV9ueG5P A5ljzOm8vCOY06nasCuONOiIDbIxQkOYzsaBC/IuNHj4Sp9VivAL27DfHGy+ RYOrpanHb6wMYC6qcYts92jwZshbv+lyL3Zqlq705wMafI1L99U714OJpbg8 zHpMA5cq4+AJ7W7sB6s687kAGuwi7us4c6YTK8CSWwSDaTB6ZTV53KwDe0lg fj0dSoNN8lB+zY827PTQD+HQcHx8Vv+pkW0zJv5aa9TyNQ0cla2PRZd/x7bP pGfIRdGg9bugI6PMN6wo77bSt3gaKJtf/pktW49FOA6txyTi8+Pb6IupqsVu CJ2uck6hQe+HwsQd12swyQDes8zpNGjcLmG+lY8wqvrD//o+0mDvYxG50xeq sIH5v13pn2jwbhNzqdxVgUVYFF49k0+DCN9RG/beEuzmrr1S/EU0OHrjBlH0 TxF29qv/1HgJDdy0X+/XYy7EaAcuEgIracBV8tHdQTsX+znyRf0SogGHxGCe knQ2VhIpQZWuwddHZSQOU8/EXuuH1q7U0eBxRy2r8KN0zJ1KDqlrpMF8AKuJ BTkVO1doaRzZRIN0w4I04qt3mIxLNY9DKw3+nCCLj2BJGJ2I3IByBw0kj3P5 EwvisV+d4UmM3TTwbMt/dm8rGisLWr/e3UsD0dPy1h9j3mCRx233p/bTYGok kjU1IALzJDcseA/i8cp6LW7UNwwz+KBQpDOMWzr/3NaLIEzWOvoe9x8a3FK9 xS+t4I8xcFK1Rv/SoCBA+u754ofYcK3jjoIJfD00XidsCd3Byu+2fvebpgFk 6hg+fOKJRR86Gn5hjgamgtOrOnnOmNdogpkEiQYpRwgH7GSvYYYxO4QWF2mg R/tSkB5khskZ3hypXqHBTuJhy8hwPWwHfU9axDqeD5m1JhpMatjv4uNu1zZp YPbmRQJzrThW6ZZ6WJFCAxHDb9NtLetVMWLsqzQaDf7/f97/ADgkcFg= "]]}, Annotation[#, "Charting`Private`Tag$7620#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwt2Xk0Vd/bAHBDylBkjhQyhCSVaJCnDJUhJbMyq1CZVVJJoVSGzIV7ZCpR ZIx0tlnIkAwh9JV5uPcime7wO+9a719nfdY5++yzn72fvZ+1jrST54XLbCws LK2sLCz/dzW4PPm9auqy1sm/lJnVyPnPG3TEvYbFdOG12hrXStN2/CCWlFIk ZgY5VJemvfd08FEJ2eBb8nZQaq+Ws+GDDW7Y2luYKuYCGdinRt9j13DZ5zuy mJJuoNcq7MiWewunGTgnOsp7wPZScVWO+If4dEhXnWOCN/iJXznddvAZbumy /CVGzA+S9/qKaE/H4HU64mW1KTdh9wwp6LrhS1xV5njBX8kA4PP8srDhShqe wuaQI5cRCKLDN88PVmbinCMP0y3k74ORXCI5rSAHr/jd2Vpr9gC4dTdEmZzO x73OuxhcSggGqQkbT+PaQly+aqnhb+9DiOTLZSwcKcUH9z3WiRALgYK7HXny 3BV4HLatSu5iKLhEXku/qI7jBnzvNPGUMJCN5nP0c6jGWYKOlVsMPQat5zoc G3tq8VLyt0MUyXAoSI+48O9uA37dzq7wseNTOMf6zMrYognf1UZRkcp4Bl3L m69tcf6GR74XUDCRjwSbjgefzkR8x/V2ZGZOXY0C7j8fpOKdf+D3G15trTaL hn3Da95u5t24mrpyhHXCC/h0TYFiHtGH85H9WuQ0YoBveWS/ZtcAPp31hWuh Nwa0jlwbO3V4CE8TPhf2VCwOZE+67M3I+w8PbE2ss6iIA6+LxU8CeP7gFqG/ 2WQuxkNkitL+VwGj+OYl76DPKQnQ0Pwu6nLIBD6RV/Hl8fFEOJW1S81Zegqv cWGnmQ4lQibSFTdpm8Zvd8XdnpV8CWiSMphkRcZNnw+Wfqp6CfWiE1skt1Nx FV35pRDHV7D30maNQwLz+GhRmfeOjGQQX/Fn9xVbxE1i+92N5UkQUKVTwRe5 jCsbyuSIN5Kg49y5ql9VKzgn+/WJ8asY2KD+Gm/aKm5fzviIzNIgsUC4dV8k DRdWjFaxSngNrjZg8pWXFbGFFp/Fx1/DjTdN+8S/sSLq75/XZTXSIUg0Po4z kg21JEnnUnvT4cnRjq4uyQ0omLNod7hYJsRwvtPsD9yElE6/eFLolQnmfJY8 vD6cqDPUc2qgMRNcqzcETtzgQrLsyrkqN7NgMfTZ+pubPKiBnqnS1ZkNMnLH h6Vb+ZCn5qMouuIbeCnNwZJxeyvaFuhIlQ9+A93xZsIZW/iR28qOwoB9byHq 4sbBgBMCaPNiwiHJ5zmgzy3G2tskhEr2+yec+ZMDq/e3f/rgK4zsvEyXvY++ A7ECPpPnUiIof46vvG7yHeyp89N0eSSKLkw+0XTXywOlazlHO2+Io6TBOzol jA+QqKv9gHpNCp2UsM4cMs+HL5WyZm/6pNC0jQYH5/t8oKiJCC6dkUY7ZwOc 3+8tgET5sgpr5V3I001djuVXASz0b/lyeaMsEnDJf5t1uBBYWIoCbnAqoCuP dlofdSmEVO68Cb5oBfQ5PYKrPaoQVn7+NLEWU0Qu/11zXxkvBCWxKx9HVZVQ iZ2CsmF8EcyeN5X656uMrKxf51PniyGzhS3ZPksVUQbMuNPFS4Dtsuz4gXlV FGbHedlUpwTuFnScrTu+HxU5e4qXxpXAU72Tb3f17Ue8HsdDAzVKIeRL3/fu bQdR/cM+m433ykBGxSrbvPIQusQRUVKWVQZpPcLWe4XU0cLjE1vd2sqgp7k4 o/G6OpKKeFPfIvkJVoRnOPSkNNDdRH/VFzWfIFhiK8Mt+jA6kMe/UYKzAu5u kyXFxB9DTSr1Dq2qFTD/8afwx9VjyOHj7c/3rSuAd92ZGm+niSJKh73+e1cB h1Zjc4uUjqPJqvcD2Wc/g8axRUW9b1qI1K3/cX9sJdiLddJuip9EPMzgS6d3 IjAUHC/ratNFSW6WdsqnEKDUxIOwWQ/Jdik78HsgaJIx/M1joIe0cnqdB74g mOs6J/qtQQ+V5ySUlKlUAadzy9pU3Sk0ZzpbadhWBbnBOjPvfpxB5m8TW3y3 1MB7b2OlwmNnUYrtQ6Mr0jVw/4r96UehZ9GIwI1Wq0M1MLnjv4hP7WeR5z3t 9uO2NcAsO9187rIxCr8w17npfQ0Y3ku5dCD+HPpC0+5PNqqFNRuzHVPsJkjO hDxZ+6wO4v21bzinmCLxoNNHr76uA4/yCwZ6LaZo6/u0Z9xldaBSKtDrtGaK 1jhNVUxG6oAJiwIm1maoo6rMd+hwPVgjj/g1MXN0RzWYsTJWDxTnB/6h2Rao jU9ISOVEIwQY2ybFzFqjW21HIOlvE1g7xBkEJDggXpWSsSbOZuh5fnSPdZED yoxQfb4u0Qy7bUMOmXY4oO9Gu/vs9Jph6tDWunhuR7SnRchXLqEZhLoOFZo9 cETDjZTsQo0W8BrVX//k5YROV2fxtt75BhwWeTcFLrsg0WL+IVbWdpjUZy96 neyKLj1fNxsVaQf67yX+5WpXlO4y1tKg3A6+Lj0J7pOuSFm4vPyZVTvc+13K mnfIDWnfdIgXLmgHeb6Do4nf3ZB6imV23L4OMGx3ovDxXUOOdtm2b4c6QNk/ 6ptd2g1UOqLzrV2zEyJ03diTI7xRjXvqduvZLnjH3/CmOvYWWpI/zvf+Ri/A 4KNnL6fuIbbV3K3b5fph75Z1uyuVD5E606HU9MMvGBookRMMD0PfQtTaGpSG YSLiq3qF31MkGT2zmkP+DfcOpZYv9UeimeXhoW7VEXh4i+tXw8MXKHP6czNv 5B8w2FO4slQdi3h3vKGMjo7CgZTbbc0T8ei5W8mVNNlxaGXJDyjpSET/TuSO ugZNwInAtoCyLy+R34G6YpHaSWg2NW/eZpuMrqhJpb34Ogmd5TtDip2TkZX6 3Web2yaBNf+ku5F7Mjp2VM2JrW8SZOsuf/S6lYzYtDP5yORJeGiuMvr0RTKK MglxrxefAhWD2Lfs9cnonZeulJ/PFPBGctotKaSg4Q91z75LT8MDlpcjpqMp qGNuw+yB3dPwavROcutUCqpS1jOKU54Gn3h5AR1KCkp7V7/ZUmMarOLfqkqv pSCn7IaIX0bTIMFlsJrDl4rGU79GTdyahhcKJUszR1LR3PNvsfTWaUjhif0h 8ywVDbVs/mv3YxrGHPPd+aNTURv3WbOqn9OQm80SvBaXij48aRV69Gcash4O yCBSKvIKaYvnXJ2G8glWPoHCVPQ3sCNRUHYGqprYx371pqJ1965kxTszRD1F 0ViTJCEzddsXKkEzEG26L5tLloTyWMfDDobMgNzcoxUhBRKyS1r2Ph45A8LZ 23QlVUmoul78jEk60V6VbsJ2goQeSzn+vd08A88t7sqx2pOQYM+c0VfxWajl dPz58yUJXX99U7tVchaabg0YO6WSUN11pkan7Cw43rgePJFGQjfZ+WV+qcyC x/e9ImNvSKhPVW2Vok3cJzEH80pICHt2J0v02iwcEaZP3eggoT0nNzGufJ4F 43pFiw9sGCp4l7v7Z9UsKG6pCJ/jwJCa0HkT/YZZELWUf7GbC0OaE0mZe77P gldFtMhzPgwZRygZUsdnYe/q5j4RCQz59J1NChCYg0JODZUDahj6p71QPS06 B08M3bbs1MBQYF7CzMUdc+Aqafl+w1EMhQQNa2kpzMHY2B+lGsBQgpz3GJvW HJDD3tLpBhgq94478NxtDh4LVvPddsCQ1sDhS3SPObCEolt8zhiq0R0M9fCb g9jVU1GvL2OoWVS+73zQHBzWNmsqccfQry9lQcLxc2CbHnyW5IchFu6Bb6Sq OXhLaa7yeIyh0+nSVz+KksHW+pDwphxivEm88g0SZLjFv/lw5zsMSUWuj/ZL k0HzWmZaUh6G1gK6nTYokyF2/OMJ0QIMvTcJt7M8QYb89arcgVIMCbLOm9Nd yfCShf7hQS3R3/KgkIAHGRY8tkwx6zA0O9v8Q96XDKE+q/Z3GjDU8DPT5Pw9 MkTtdGZzbMJQQIHV2YwXZBD/3c6z1IahYfsqXf0KMjQa/vuq0Yehb+bv2e0Q GaR4VxPd+zH0yfBVjU8dGfDpyJSkAQzFaPidSGkjw793/brjgxjS41PQpIyQ YfqhxKYzIxg6wCG8zj5JBmFqzy2zPxjauc5asW2ODCy6EtsvjWJoZXxAQ3uZ DGUPR5YvjWMoF486GM9DATP2JRa5aQwlFd9dyNlKAeeRGBr3DDF/79w+4sIU WJnYrjBL2C5BZ9+kJAXEkvAtaXMY4vdYVjqmRoHQOCOeNiqGGM6jU+eOUOCz ptb9iHkMTVt/f+uiRYEGttGdZxYwVKeXKx95hgL+j89NfljE0K0d9rv+u0QB LHd7vPY/DDmdV7X45UiBjqzYOz8JGz9ifdp7hQJhPRsq3ZYxJD+VMd/qRYGP FiIX7q9gSEDCX67JnwLb913KZl3FEN34lHXdHQqInh83f0C4q3iyqiKEAsr7 ZRo81zBUNVH+tyScAn+xx2G/CeeKP1P4GEmBzuLY10brGHr4YG/0myQKmI6K TIjQMORRxKhNT6WAUbchvz9h6/H25dR0CuwSy4xvI6xq5GMfl0eMh2GQ50vH kESQTmzURwo8x5y1EOFNhUKNT0spgGIOKm1kYGhhdGwt9DPxvVkZnmcID4mW qQRXUYBFkcQbRrjZ4InT3XoKHPrHuwkRLrlnnXCrmQJktz9Wi4TTCpSafdop 8OMK9wYZJoae/1mn3+gi2pv7cRoTvi3Sut+tjwLiuwSv+BF21idddhmiwJmT /RIJhI3ver60/0OBo7m4chHho/knWm0mKbB3qDS+hbD8CD+rxRwF1gcrLIcJ 8wv/UTNZoACnWp0PmTDtdLGr0TIFLCmt4yuEJ++EppymUeBBZlcRg/C0xR7X 1yxUqLjR08ck7EAVZJNkp8LAdKcVjXBPOC05hYMKZ0+2qP4lbCgzdkickwq7 JGocJwhXVba2J3JTgZb7eaabsLpFqZvwFiqIvfnShgjnUUjssXxUMNFv584i vCv8cepWASpsNVvFQgkn7fLSiBSiwjneU5GOhHkrrb7ziFIhQbe6+zDhEPOT 18LFqLB25vZNHsKrZEWOTRJU4FoM8Ooj4uvxRAAL2UmFXqynNp3wqPT6YTZp KkzvT/O6SrjD7Nt1uhwV5PY09YwQ83uKXLwxUIEKNxZMo18SrnycmraiRAV5 +/QMQ8JvKjy6FvdRoTljvvc1sV4kzCw9vA9Q4eRGpVU9wjFzwElRI56Xifcb I9bffSl+zekjVFCzeXRHhPDf8tXuq5pUWN5twPGWWK/upiOeY1pUMBBtmVYj bB5WlPFbhwoBt2MbThDrXXnWnKf3LBXYZCrrpYh8+WRmhJ6ep4Jp6LcbD4h8 0vmi7atlSoVyx1asfwlDNpH7BrKsqDA5+zr9/l8Mhaty5fo5U4E9V3hPKJG/ Qi+ZdgpXqOAaKq5UTuR3Gus/gV+uVHh2TL9kgkK8v3Pkjo4HFa60uHqrkTE0 7ldpIBBAhd8dHE+fE/uJz2Ahoz6QCsWqaYtxU0R+6uUUBtynwmUu2dnESeL9 ogni/z2iQlml57MIYj/SKfeczo+kgq7byUgNYj9Lo+96ejaTiL/t2obHP4nx XRHTYn1DBUUH56jDvRgqa+NbKM6hwlH/hvzRbgy1YTRriXwq+JIfFyv/IPo7 2aM4U060F/v6K7CVGG9YeNOTdiqISz6XE60mvpccdE+zkwozm66Z+CAMeVve 3E/tosKdVVeJr18w9ETB+aVlPxUCk01jnCswVNqs6SY/RgWOxgtbbYqI84CP ylm3RoXMA6oUvUwMdX55+lifToWCYyION9KJ+b0ut7GdSQXu1xl7otOI/arZ hr1/wzz4zat1N6YQDq2nU3jnIcqdJ4QZh6Gt668WtsvMA13m6mh0CIY2T+j9 8jWch9JtMdgJ4nz8Fv/bZvXsPHR6ln7qsiXyXzew7/75eZA64KfjchFDPOkF PeHm89B9k+WjvwWGuG23f8fs50FHJJrdyQhDnD+o9S2+87D1yE49R+K83oCS 82VS5uHTP/V7LNwY6tfUPTNMmgeFsQCtuo0Yyq+Y/f3q9TwEzjY2PmQn4ld6 XEDgzTyoaqVrUGkk9PH9sB9L4Txkjz8reE4h6p8UmaODjfNgbvphX+sPEvoU kFuXsDgPlfxzfDeTSChy2dT2wr95uDRy1yc+joSc/WlLW1bn4XFVW1N+NAnx ep/dHcqYh3ORPy51PyGhy66UcF+uBbhh8hRGb5OQgOXBc+clF4AcftpSwIqE rql97uMyXAArhuz+zwIkVNXRnffp7AKoV+8xNeElIeEb1KCr5xdgwO5IywgX CaEsOfl68wWIUBWuW2Yh6i/RaJ8HDgswJ/Bn0zQ5FX1edeFZ9l8A4x5ui/mm VMSDeI+Ppi3AzWp7i8S7qShX3ykN/7cAvvImSW+7UpCasrQWrC7AedsfBcHt KQjn/T2A1hfg6dbIXZbNRL37w1a0mmURBhtcti2jFPTX1jqylnsRvrcP3uXJ TUFaPufvft25CGM/f2c/fkA8/0rLqvPUIiTr27ztI+rnpRnxreMJi8C5Vr5P 3zMZlZieZo/T/Qut+oHS2wpfoqAzoVjx+F9w8HcIcxxLRNKDBj8zQpfg7iSc JbEkoKMaIXFiB/7BrZrQ67Y/Y9Glne2rrD/+wR2lUwxywwu01Bwx4hW8DPT6 cwcyuKNQ0gY7vwuyKxB81NBceuQpEhwqSWerW4HvJCmlZ+QwxHEv2OyI9yoc ZGmvtfr1ELHk2OWPCKyBXiF5JjX7PvJ5lR8hULMG2UmULaz5t9CXPU84+T3W YVbbqco90xupd4m2xnitg/v0ILod5Y0K7r55IeS7Dmrt8t9i7nij9NYG8W23 10Hh06DIzHlv9MSTY6/kw3U4ZkKpV2Z4oQtFD032JqxDmpoZ27KNF5o4eu+V Pr4Oisl7DH2PeSB+Ax/lh7w0KEr9PrAS7YbSqvl4jvLToJHj0IuT7m5I9cj7 qXlBGjS4Vq280XFDxgqT2Y5iNJjlOENp/eeKnm60kz4pSwPbUyNz9+1c0YZa fRGWozR4FKuafvvgVfTvmDTL/cs0EBwTTvmz6IJCi/ChQ640OBKb1jzV4YKE 9lz6MudOg+sWg9t4P7igg+KJd2y9aEDzDd/50dUFea1sXtIMpMFLxm0Bx2Fn NFW8MrUeTYP3HC8i3Tud0K+9HT8CKmnQkvMVU213QNgM/z12RAMT6WmOrYUO yCnHVD6imgbBu8MGueId0JRs7+20Bhoc65r7Y3TRAf3bPrSjsYMG5c7MSqlO e8TPPXtVaIwGp+YzRsQF7dCp8U20D1vocDff16Km0gZxZepnHd5Kh7yMhpyd 4Tbom+Mz4xoBOhjelBvLN7dBpoO8r7tF6VBtfZ7Pm2KNHLqET9Gk6RCf/x+P h5w1CqyRidZXp8P4gWJ1k2RLVEAC2VE7OnDbJaXkfTBDi3cWNzk60uHXg4vn Qh6aIXXLNzODznRgb++LjrQwQ5/5+Ip6XekAnm0fjzJNUcODoZMtPnRQqvjE Pn/BFA043bMvDKODX3zp1U72C2jj7s+vHnygQxtpQDFa5BzSZ/e8Ty+gg0Zg VmhnszF6PrzL6U4RHVjZf7TdDjJG/ElPFf0+0cHaP3yFOnUWSXDZfLpaQwdT FjODyFojdGBmpdu4hw6DLOcdvMMNkG2+Ov8OBh12e71Y8rU/hUptVng7WBhA eWM5/Fn8FOLdWLH5ETsD7vM/1bjVo4eqLh3nnOJkgNygfe/pc3poF7cus1iQ AYZCJdrGp3TRuIvJnJEiAyYUNhn162sjra2CM8w9DFCv2dNwdrM2SvzcNVmo wgCGe+POg+0n0RkBq9Ftagz4vk+afsHiJHqH7AZGtRiQP7fbetTtBPIQv950 14wBu3quFVw1Oo4a6vc27rNkAFuNrqHnsCaS9KbUjVgzID7m9LiFrybqaPSp OmPPgCynIeH61GPogH9AmZA7Aw7GyLOJ0I+g5fawrLwgBpRWy7cajamjB6Gv g3+9Y8CJiJ+PV633oy23Nhk4vmfATx7upeEt+9Er1xsC4/lE/4p/5h/UqKIi wyMZlGIGYKZm7vN7VdE4//c6NsSA2IVreZu2qyBDEgun4g8GPPrQ8uDckCL6 GXWl4303A3ry631lbBWRS/C3pAM/GWBMeXvYaVAB3XdJUtQcZMD5V6eddozs RgVKqobnJhjA0RQ55k+TQyJl9pH+6wyYX2sc4/DbhTLe1lus0Yn264I2e7l2 IdVXeySDWJgQLfRGpwiTRvr3lvOfcDDhUqAKV2+HFLqrE/U9mY8JvS+OPWkJ 24m4Di29lBJgwvHW7NKOhh0oQf6iU5YQE9426YaFcO1A+Vy7Fz+IMUGxbdWH mrAdjbTjQjUyTPCmWdLTv29DntWyg6fkmVBNmeofl9+GaIVPs1oUmKB32jK4 6b4oEk6wUO/ey4T2ytoyJ3URdOYS2XJSgwkJmyy43tYJoveTO5J5jZjQWBBa u1bKi56khjoMGTMhWVlZzTZ+C3K5MCf3wYQJvmsC4lMBm5FEZWXBWUsm8N7z CbI350ZPoy42PHdiAvV1egnZbCO6olv77NJlJsSk/P1Y78yBtFeVTJRdmaBc broUdnsDWnVaG2i5wQTXHJ3+rCI25Kr+cp47gAmvaYtBxUMMXHeGpaw/kAmC 03QrQWs6LpnmevfdfSa4fWCmFg2t4z1chzcZhDCh25LmeZVnFS/EsW9ij5lw YI7zsknhMh7puylmKpwJvw43Rii6/MP1BnskwqOYkGR0RMhochGXitEasYph wskE7WXXigWcdir7jUI8EzwmNvOKJc7jxQX+B76+YoLzv8uxGcNkfFeI0JlN 2UxYrYoZL9WYwBmH727pfcsE7oqLFxKDxvC+uT+d2blM8PLJW1vu/4NHWxbZ nvrIhJSetWqDlt/49c3bZUSKiXgV1JcGoyH8TPXDybFSJuw4LTF5b8svnKl0 wTe0kgkfPsbyPBPpxfuHyw+bIybINBVbP+rowkvjpBmyNUzQJSW3Wr/vxGP0 w2v/1jFh91Grz/55HbgHg/qkrpEJxryXWr1fteIGRVbGcc1MCLu9V42xoxmX c60SdGllQtuIhuOxkQacZYdC38EOJoRuUJJqGKvFf32PIrH/YMLVvV7Syrur 8U9hy84/upnws+nq4W79L3jcMXvFjJ9MiFy75tNX8Qn3ojaQfQaY4N867CNI KsYNs1SKtYeYUHXraCQHtQCXt0kIEPiPCesrMVdYbXJxNj6G1sgfJnTJC+7T TM/Ch2ovbygcZ0LhzbAej4I0vOJ2a1PwFBOezFw55LechCfsPRRlMssE24/9 uNzSC9x7JMVMmsKE/ZLywo+ePsGNEjeIz88zYcxPHA/WDcIVjK4PV/0l7kuU fXnA8MY3sHZlRi8zYft8LEdJuiP+u+SYu8MaEwwvdHJENOjjle4Z+1TpRPzq t5756rQLT5TkWWIyifXw//8v/wcTezJ+ "]]}, Annotation[#, "Charting`Private`Tag$7620#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw12Xk4Vd33AHClECEyN8iQIkklGmRVJPNLpvSaZ8msMpUMGUslCS8pYyqR MdNZZkUoEZEhU+Z7Scl07+98//j9dZ/P8+xnr7PXXmvvc58jYu120W4jAwPD 1w0MDP/71bCb+Fw9aafEdiA32DCGq3KTspD7oKAKPEz0ljTSPEUcTU1ILhQ0 AN5KlpJOmjUxulM86IaEOeiqjV0+/82X0GztLkgRtIUrijlOvRBFiN/dlUkX doJvuy87fy2OJ9Y0bJ5YSbgC49VQ/qya58RUaGe9VbwHLNnMCf8YzSGMbZeq YgW94YaUQ3YH9S1RryxUWpd8HTzVjS22TJYSsmKn8xeFfcFs1SHm9zhBJG+0 zNmb7g+VTu/iqvzqCJbh4DQjiVtg8OvQU33O90T5UEdrncFtiDPvLRo/1kq4 69pqmMYHwRrLxR4H38+ERPXvxsXuYGCRO7rCmdlJ9B8KV74nGApb673SO4V7 iLhUgeq9/96B2Rc+h4On+wgNzpeKRHIY+BeaPR/bNEQwBJ4qMxoIh/fyUdF7 lYaJkrmPxyjCkbBi59umnDZKXDU3Lwi3ioIpU62U5cM/CdE2isye9GgoFL57 aGl2kojJ5d6vJxEDijKpGVazFOL8royMSYf7EGn3ZoExcZ641Zi0rcbgAbyx ae0uuviLkJOXvmcS/xAePehLOc++RHDOebfsVYgF9nxf1RyOZWIqs2rLQncs cO+0Sfbcv0o84/0nLEowDgxSNjuJZtEJ/9Yn9UblcZDw0bBIcfMGNLoztFHs 38dwS1atkE1lI2797RFYkRwPqW8T+5d/bsKfr8urwk8/AfNDOa/VtZmw1pZx TX/gCXzv8jN5iszo0xnnMyOcCLy3dLvetLCi/t3+knfVicDxp2z3Y7utKKMi 8TvUKglEBq21urZy4Ghhqceu9P8gsujKw56abaj3qPeKjsRTeBByKtM5igel NcVyhJqeQpzz75/v7/EiC+PVn+MOqbCzdEOPYAIfWpTR3qLBM2AICY8srhFA XskHMpfin4NFT374M6dduPFOkTYx/hyMwoJ3OmXuRupQz1VxhTSI/VFMN5sQ xpYEkVfU7jQ45SI5unBWBINYCvdFCmaAWVFgBOsWcZS68DCiwD0DfjKKyfd8 EceOO26TfU0ZYFrL+eZv2l4UZ5R+JXM9E6JN9Y1BZx82rmfIdHZkgVn1gOjp b1Lophhyf10yG76/YFZebTyAAv5WVImgbEhyjJTcWyaNTn93FfgeegG7VBJy ml7K4NZf8ceE7+bAUWvGQ81Wh7H48LV4tZEceMbatH5r6jCau+sveZx8CcUC p697XzuCebOcZfUTL+GXjZWtROxRvDgRoXjl/GvYWx584f34MUzo91Mupr2B tKaP5Sy0k3h2p0nGgGEe5G21OW/06hROXVbYzJKbB5J22t//XFbE3TO+NrkH 82Ftm7zTsZrT6OYkv5fhez6MDRglDhucQW7bvBeZxwvA8+LpY6zXldE+ZLfJ SdsC8AjvORw+qIwVafe2tN8vgEI+v55jGipo+8P5yt/xAuAaYtglJXYei833 S2s+LoT6iFq1gBFVvGTyPI86XwQQ+I752FMNpPQZsKYJFYMnfUz/Hbcmhpmz 2OkrF4O1EYWqFaGJhTZuQiVxxZC0pvPu1XUt5HA9fcdfoQRGlDxQw1IHG4K/ XWa6WQrO9jfyi47q4ZHXXEw7WcrBlWP41uYMQ/wg02DZKlsOI1vU02sohmj5 1qfilkk5lJfxbGdXNMJ7JYPuP16WQ2a0fuHFr0Y4UZ3bl6VdARoxSbypXJfw aZf628OPKkE/5RHVJf0ystGDTC/sRjgzcnK5UsgSE5yMzaVVEdrCz1v1qlmi eKe0JZcrgsyGI/vO3LBEpZxum74qBPUsuTNjnZZYlhNfXCpTDcpRLV8SHlnh rP5MpWZbNVx0cdyHu23Q8MWTFi/2WtjZ62L17ao9JpsFa9mL1MJxGb3uUxn2 OMzt0nrpWC38G+/mNNVnj243z7WfNquFD2fPmEtrOWDkxdkO5txacNCUoKrK OmLV2rne/7TqYMzpCNsC0xXcqzc3URddD9wx+3rX5lxQKPDCSYfn9XDoWFfa i2OuuC33WTRraT1wOlunFQS44gqLvozecD30SMdM/mBzw0/VpV4DxxsgduUJ iwm/O/rJBtH+jjXASO2Sxm5lD2zj5OGROdMEUrL5LlvRC+tOu9h9NmwChvoL 5i4TXvjOubHE27kJ3rq+WaJzeWN6k49JRXwTPJroulZu540+gf1P1WabIG4H doZxXkNRSpakTdJ7kPDJz4+5eh1vtJ2AhMUPMNh++POYli9yyBSPfWBphlXV AEMPX1/MuCd7d3VnM4yIFoNUli9+1tr3zfx8M9TXjYaIM/jhgRYer73xzdAc muKnWOKHg02UrAKFFtBuXPBhPhCAF2oyOVr9PoLPbC6Tp0Ig8hdxDWzY0A4D J4ePG1OC0fTuqsEoXzu4L3smDbKHYJrtWEujdDvseOCfGyodgtK8ZWXRl9ph 60jR5r1XQvDcdcvHvPntMPt1sxaOh6B8snFW3KFPEOnw3NlyLBStzLPMXgx8 go2GwR9D/oZhybDyx3bFDnjxpu/FwxvR+FUtaP7ehQ7gatE73ZgcjX/eEHxa FzvA6ndcG39tNCr4n7B679ABb24s/+Jiv4vvth/6Ux3bATctH6dYZ9zFMhWh PQUTHZDAVd1yo+ceVmZRveLivoDvuQ67MwceYO2VlB0mM51QesFbS7wrFn9L nObMdemGGwMSqdmOCbhx+dW2HXt7QeJfg+R4vVSUp1uW6L/5Dr/98rUnz6bj x1C5tkapQUgc5izT4MtG4QfTyzlzQ2DVLxZaHPwKp5cGB7pkhyHy41OGq+15 mDFV0cwRMwJb7A3CpS8UIMeubMro6CiMVvWpCiQU4V2nYvtn4uPAtpJ/MiK/ BP+ceTXqGPgT6n5v73rU9Q69j9QX8dVNgImOmyT/y3K0l9vz7OH7CcjapbMp /m05XpIPiN7aNgE+8iLft5WV46mTctYbv02AkUiw90pTOW48l8E5NzcBaSJP x5LHyvG+XuiVBqFJ2KNrWL5jTwW+dFfZ4+05CfL9v7gnH1bg4Jv66M8iUxDu WtHE7FiJn2Y3zRzZNwWdOv95artWYrX0ea046SlIzfD1ivGuxGcvG7YaK0xB VXSm88agSrTOarz3XWsKKkWMx94mVuJ4yvv7P29MwY2ehiDp5kqcvfvx0Xrr FKzvm5oM2FeFAy1bF82/TEED/9TIvoNV2MaqbVDdMwXMIaF9rUeq8E1EK0/I yBScZGYvY1WqQvfQtscsy1Pw4l746AWDKlz0//Rku/g0BO42r2oNrMLVK53/ SfpNQ2VTNvV3RxUayJs9lAmchkvy5kmZ3VX4esN42NHQafjvBzVN93sVmics eZyOmQbKboEPCWNVWNMgpKaXNg0PFj7JzS9VYfgeq0Wf5mloXGObrt5B4Pav s1rvhWag+8CN0+0WBF59fv1cqzBpvviTP20IrL9KV+gQnwFvh3CzFQcCrzNy iX2XmYEMZeDgdifwm6zcMuXcDND6N84y3SYwNdovk995BrhOH5ffnErggbPM NPuKGUheauBS/0Zg/stX+3qqZ6CKOOjA3k+gHI+unnrjDCwlara1DBGo+DMh 48DnGTi8279ZfoJAnXtSmtTxGdBl3aje8IdAz2/aCb7cs/BSqaq3lhvxz7mF min+Wchhp/ju40P0fx0//e+uWbB+accZJogYGjiopLR/FoY6XvAd3oMYv9dj bKPSLNTjdyelg4hlHnFH7jrNAg+LRJOcKqJS33HTdddZMO25zXFcHbFWpf+O q/cscAjFHD2mhdjML/FNN3AW1s5u4Np1EfF7VWkg7+NZCMgrnU8zQ2Rg7fv4 tHoWVtX8+cO8EC+kiTi85Z8D5Xd5f58lIcolcEg07pyD9xylT0uTEffErI72 isxBYvWH9++fIq74dllvkp6DcK/EzN40xFy9SHPjM3NwKHznlcqXiNs3zBuu O84B0cPjeKOMjLfUz8PtOgeXB+9NH6tAnJlp/iLhNQeGr5TG5yoRG3sy9HRv zoFAro2SbjWib/4l7fSHc/BAYaP9p0bEQYtqFfVycnzF1bWGDsSPhrmM5kg+ 3+Ct5wc6Ed9pJtV61s+BrvuFwuguxFgF7zPJbXNgrZYrdKoH8TznfkXK8Bwc 1pCcNOpHPLKZd5VxYg7eDZ0avT+AuHt1Q7nA7BxQPmRcqBtE/Dvep3BuaQ68 pK6fFxxGfEXcP/qYjQL6rCGcweOICUUBCznbKBD2Ih1ifpL799LpLcFLgQ00 3c64CUTzeOVDE8IUcGxOlHw4hcjluiR1So4C++gWPqpziDSb0cl/TlDg+bRe zV4K4pTJ5xe2ShTImEtxppOuP/9KIkaNAkufu4efzyPe2GUh+sOUAuVtlhfT FxGtdWWNvltRQFf7qNTF34g6IRuiuu0pwFHYkbBKWmIyfb7VnULWs8MJpSVE 7p3X9n64RgGtI31Xukmv66ia1PtRYM9WviPOfxE7iyaqy0PJ+O6/bwcvI1b/ LFssjqSAxtB+FqYVcv1C0fvfxlDgRNlZ8VDSwbcPPshOoID3QxMh91VE10Ja XVoKBbQ3Lv/qJ20y3r6UkkaBQiSsVNcQZbU8LeJeU4BlP98y0zrizkDlR/ff UoC500TUgjRzAU9TVAkFhtr2Db4lvTA6tnKnggJP4s0P0UkP8JfKBFVTIKBv gPsCjaxvjQjrgAYKnLkdHRlJuvimSfyNZgowJqk/aiT9LF+q2bOdAubuDLI0 0ndHVtddOingcjPRQpaO6MPXetjpGwXGXRhEzUjbqD+1sx2gAI+I2I1Q0joB bokWIxSYfjFvnkX6ZN6Z1ssTFNikYf6tlrTEMNcGo1kKVPqbjX8jzcU7Iqe3 QAH+ibE706TXLhQ5ai1RYNSZWrpEesLvTvKFNQpk8/kE0EhPGR1wfM5AhSIp vy900pbU7RuFGakgvOtP5Srpr5Fr/yVvpkLV49njC6Q1xcaOCbFQQc7N9sII 6erK1vYnrFQYKLGcaCMtb1TixMtO+vXUjmLSrylPGR9xUmFb/dbhx6RFI8NT tnFTgTnty0kP0gmi7goxPFTYJKwjcYE0R+Wlz2z8VFg8fy+Dn3So4VnnSEEq 2BtkFA+T+Vuek9zMvJMKvuUvTF6Qdo3gTg3dTYVBoYIHjqRHRVaPbxShwgeN 3stipD8ZfLy6vpcKQleWX0SQ+6c6V8Tkv58Ks3SZg0dJV4anPPsrRYX1twzn e8j6yC537fx1iAoeQ+yy3KR3Ghi7ehwhx8clMmaT9RQ7CywUOSpkdlk5y5O+ tYdLceoEFe48tPyrQtbjYtlyl4MiFea//N1VT9bvFf1htzElKizJPuw5Tdow rDB9SJkK/VMp7CJkvUvPGLJ1a1NBcyn9ZhbZL+8MtDBKlwoy75avTZP9pVx1 zktJnwqfT5/dJkX6csyhvsxLVDh1XlA6bgExUnbLK28bKvxpqGbbSfYrTyLd fL89FQzmrXfLkP39bMMf7u+OVNBnOvj1xCw5f8ewn7IrFS6HsSsoTSOOe1dq cPtSgbDwbVkhzxPP/gJagz8VzkkiT+8Y2Z/ncwp8b1EhL02cuXCUnJ8/XuhH CBUejoVM6pHnkXKZ21ReDBXo8m+LlMnz7Nm6aJR2BhUcEh5Rlj6T67MXVNqQ TYWwZO3tnp8QS9s4F4pyqBBgZDI11obYlrpmsjOPCs3X/i0ubyHjnf0qOV1G xk9w7BRoINcbFvkhop0K19atp7NLyOedC7yp2EGFT/PS6VVFiB7G1w9TO6mg 1uazo7UAMWK/TaJxL5mfyxp6394gljQrOkmMUSHjkMNMVhZ5H3BSWepXqOT/ +xaC/zFiR1VUuPo6ub/hLdHzseT+Xt3L1E4n95dn8HfDA/K8ar7M2LtpHt5o 9WaY3yV9p2GdwjEPW4e+hv8TgrhtNWlhh9g8qDt/lZd1R9z68/x3L815oNo1 6C+eJ++Hx0OXl7XnYd9MxisxZbL/Vfy/3dKdB9mQ5BrtM4hsaflfIw3nQUE3 TDr2JCKr2Y7PqRbk+MoU4e8yiCxfqA0tXvNg/Sb37jXyvt6E/+WJJc9DMEfo 7aYfBPYqqqgNPp0H4+CAYKYBAvPKZ4aSns+DqWdYBPQSeLnkNDd39jwMGIm9 SO0g8G3uoDdDwf/mc3cSqCPQPFnsZH/TPNxjEEuZTSPwne+r+vhf8yCk/jBN zpzAmCV9s4t/5iFZ/M9EqQmBNtfWfrMvk/GlnL2OGRLI4aG97w5tHm5oKZkJ axFo50iJ9NqyAJ8EpWvfnCCQ2/joP7rCC6Cgz9ZUtZ1AZ7mKb1s0F2DdjWnp dV0VVn/qev1OewEEzASuPSaqkNeFGuiguwCaLA5FPmVViJl7JRoMF6BkROH2 obwq3M7/wPO25QLMfX1y3zypCiuWbdmWri2A86LH63q3KmRDjtOjzxbAjOHD P7V8VfhK3foZ8WcBxHJ82fmMKlFOWkQJlhdgqC6TWVa3EgmOoT5cXQC1HyWb VDXI990vZvw1DL9gY/LqNnulSlw0M4mpY/0F/0pFFV2XqEQlT92A97t/Qcu6 1ZnvvyvwU5LSpQ7VX0DTu+7/gXx//j0ttG08/he8DtgQWkaUY7H+BcY4lUWo VR6zin7/DgPV7qQWjS/CcPOjadumEhTp1+hJv/MbhlSD0kQKi/CkQmic4JE/ EHfZOXWHRQGa7m5f3vDlD3R01mctyeTj7+Z7w+5BS9BQM9h/qfAVJmwy974o /hcCT9yT7gvOxu0DxWkb6/9C5a5ng4Xp6bj5ZpDBCY9l8FE3Ed19LxUZcszz hrlXYCRnls2JOxE9k/LucdeuQHOBypXcmVgsXUsKr61fgS5Jv2eOX2NxzTws yLNpBXSibnofqY7FcDGzax0fV0Bzx+bl+UexmPya1Sy2ewV+GF8L36MYiw2E nTT37Ao8X2U4qnj/IQqM7GjhElgFLoWEG25nHmDVgQgWLtdVYE0SjbBLiUb5 Tv7WWPdVcAnfnJHjF435AdkPebxWIT92K53pUjSmtTYKCfiswn9P+hzYt0dj hNvmg8LBqyDVPFKiFhWFFwuD9Q7Gr0LcXFLB9ZuR+PPkzSR1YhX2bMurTLge jlwantLBHGtQftColaswBJ/VcLKd5FoD2HOKQzQuBGVP5E7Ob1+DRFWXOp1r IaizfyLLSnANxgfFXNcVQjCKyVzkrPga3FhqX35DBOOmOnU+hpNrEB7kb2/6 OQj/nBJhuGW3BgvFMiM5bLfxTiExcMxxDWxWT9R7DQUizwHTqtkra7AypPe2 OScQjwo98TNzXwOWUEaeXacD0f3v1t+K/muQspzNfdH+Fk4W/Z1cfbAGWSzn XGdrA/D7wU9ffCvX4OMZ0VdOGb6YOs11kxHXADvCvK7d8EXrHH2JezVrwJ5R sytPwxcnxbt9njWuwbeOiJ5X8z74Z8fArqZPa7B4akDqw1kf5GKdceAZW4OK 3SfO3Jm6jqrjzGtv2NfhCqP81Ydm3rglQz3z+LZ1YN+/6dBJeW/8aBWtU8u9 Dt/OujVzcHqjfj/H8y7+dXgVo6V2qsYLLTt5VddE1mFW7m506j4v9K8Ve6Au vw6mP9MDw9Y8MP8piI+ar4Oo4dLh/Ltu+MvvF7OV1TronPtIY9NwQ3nj7Ol+ m3WwVVlkesfshhWcnIXdjuuQXT2jzhDqio23B862eK6DatG0sM5tF+yzvmlR ELYOvjXqKnXhzsi0ryLp9pt1GC89YSX/2QHVGd1ureevQ8N/xeqmCQ54d1DU 2q9wHVoaft5ss3BAroQoSe9367Ba8Vn7CcUed265/M6hdh02n9x3sJTbHo9M /+3S+boOtQ9K9vA62KJZnjzXLto6ZFKYkq9fsMKSy385PjHQYEbg6P3R7VbI wVS+NYSRBsFPLUayhyyx2vQ0yyQLDYJoQjtk/C1RlFWFXrSdBotvDCKdHC1w 3FZvVkuSBlEBObf4rpqi0rbt0/QDNMi7FWsWwGmKTyo6JwpkaLBlKsMvovBf VOO+NCogR4Mj1XuMYtcv40s07xtVokGFjzLFNtEEXYWufggwoIG/3BO9DxQj bGw42HTImAYuuRpJnilGKOxBqR82oUHNwv7uKk0j/NTkWa1mQQNqS6/oiZeG eOSabynPFRoc831WX+FqgEvtYZmvA2mwcJd3pZT3It6+8zzo+0vS3J0eiYWa yH6DWcMqlwbm1WFFdUqamOTowj2eR4NLRmuSK80aWKh5Ip1SRIPrf1p3R42r 4zjX5/qNSIOqzU90D0ipoeZTBhbJL2R+Kg0Ydo6oYM99+0+5XTQ4Y0Lv772l grZBHxOO9NCgK3DyXeoOFbxlmyCp2E+DjPe83ScuKWO+lKzmPz9p8Kl+sSqj /yzylVrEXFulAdO5Wsnlw0qY/qLBaGWdBvm9TP3dkadRNumAcCADHdQmJZqL RxRR/eZSXsRmOngqFW24mnIKA5Tvf/6Pkw5hfnS7l/tP4HA7wVMrRodrrFF3 clPk0K1GvF9Vgg7tDDUCgrxyuFYQldmynw4sXdd7r8UcRd54I/mug3SIG7Dl o4cdQTXTOeMJBTrgmWPrcvdlMXdi138cWnQ48bD7XMwfSYxIuWM5oEMHfcU8 qgyrJNpenN37Ro8O4gfesgWI7sedlZX52sZ0sBpuHGG3ksCo+/823rWmQ4tq j9FrXjG0V6mLNrWjQwxr605tHVE8tyylJ+1Ihy1inpSAaBFctl7pa3GhA33G Std3+x50lE+cZ/Ul4x1IGuouEEKVaYbSXn86iD4+bi94VRCFnzkGvLxFh8OC af8clhHAr1uOM2uE0sEk6P7Vio+8WECkfhQMp0Pa1wgHgRwejPFijp2MpEM4 VVxbJGY7nu//ujPyPh12/8hMYfHkwj2xSsOXYukg6GW11Oa+DddUs7L3P6aD 0Eu93aJUDizKv3bkfRIdFNhq7bKBDUVDedSYs+jQRPi73c3chLTjAezdL+jw 8yiHX80+Rvw2O9KR9YoOB2S3L9LLNuAD40Iz1bd0sNESceXbSSOubt0hxldE Bx1XhQSh1FVCrSZ4YqyEDg+GCl2Zzi4TdKmLXncq6cAX7GVyfmiR6B0sO26I dLjYoDI3/n2BKIkToYnXkus1UXm+dYlKxKpH1i3W06Fvvupepukc4UqjRtQ3 0UHv7XeX55umCY3CSzpxzWT+KBPvZcd+Ensdq7fbttLh2HHTT87ro8T3z/ef Mn6hw72JzyFb0gaJd2FLNl+66JDof/ZrMk8fEXfKQjK9hw6cj4NSZOe+Eu7U xjnPPjowu2jsvSz9hdDMlCk6N0AHrTuso1sS2wmJy/G+3D/IfPXu4e978oHY yElTGh6hQ12vgIn8P/XEQJ3dpoJxOoRurBiz8ECi3Kf1Q9AkHYz7xPuTk0qJ +IPH7uvN0OHFS/w4zPqW8BhONhChkP1gHBpabZ1NaD3ZJDQ/T4eEb9JyZrMp xH6tq4PVi3RwC7oSYKPzkNi0oTPjwRJZvzxWAtXsQcRQ8akrlit08P4qdTqO 14movJJ+SHadzP9jIcPtrOeIJ8Jsv+l0Ovz/99T/A8rbna0= "]]}, Annotation[#, "Charting`Private`Tag$7620#3"]& ]}, {}, {}}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=0.5\"","\"U=1\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*SubscriptBox[\\(E\\), \\(c\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-0.1, FormBox[ TagBox[ InterpretationBox["\"-0.100\"", -0.1, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 3}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-0.075, FormBox[ TagBox[ InterpretationBox["\"-0.075\"", -0.075, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 3}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-0.05, FormBox[ TagBox[ InterpretationBox["\"-0.050\"", -0.05, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 3}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-0.025, FormBox[ TagBox[ InterpretationBox["\"-0.025\"", -0.025, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 3}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {-0.11803397776696967`, 1.0388911952929902`*^-13}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwd0gk4VN0bAPBLpdEnFC0mGcrQMqaxZMlylRaV/p9Q0SJ70WIYlaIMTcgS FcMnylp2ZRn7OYNB2an+lsqWBiNrfCTqf+Z/n+c+9/k97/ue95xzXyUHdwtn UQzD/kGv8HvMeaSdO+pshAmfHZqGK02I9D65gzhSf8fP6UrNF7HxBXJWQpe0 WsqBIXll/1sqtkL7hjurg+PNnfkJck5C9+m17gfKYVvT/pBchbavFP8bLB1z jLFXuY7MvEG6Zg0ErA88e7YHMtdqSWAPzjjNVz6R8xLG5eUWLgOeCbG4Jv6m sD6UVkYHtO2Gr2dJt4X5DhfLboB4UbsMcorP/9dzCfQBhMGA5NMq95DN86tk /EFZf0dzjRUTOTFQ/z0L0M2djp1n+yNP6TWseghUuHN1s50ByLQwl7xw8GVP kEm4HAs5mDPh+hhEvdjMJZ97gGy3zU0/ChyTyjQA8YHIunr8EzEA89MvPd0b hBypLpMSBzgTTXsnSQ+RL298YvAcXLW1zQ+yD0GWnl9cmwS2tUxSFVNCkbNt HZRSwKOc9TtOqjxCNoM45xU4tDU1dfRSBHLUvIJeJrhXFyddZRUp7PcxcDAb aGlTwm3Yj5EFIXWn3gCpCa9Gss4T4f246/DzgSCtUnymU2jlQ7TQQpC44e/A ELkoZJWQYZkS4NMcwztdJnTAJd2FUnD6Qb/o9nPRyL6G2jPlQGLOw688ni3M /0aW5YLh7LLKIMMY5OYkL40qUO20YsmyV2hyNul8NfD+EOX9nfSPMN5N6OAB y7AvnBKu0M53WQp1gHpQZY5lH4d81KfzZj0YKij22JryDPkO5n28AZx82uP2 H5XnyNs295i0Acrx7RnEeqHF+X+I7YCw4uow/9ILHGO+kPJbaAcXS3+/gVaJ yLyy8rr3YMPOSKo1Ownl+7sFvOkEog8KTwA+MnN11tuKLjDV33VVWScZWdWr vqUbNMYqZU11ImPFEcTVn4E/oUD1oVwqjnGzHBWd+8GuI4+D8+nIxrWXp2UG QMcD99FP9UJzJYbrBoDyCkoW9WYaslGbtd5XULecSv3Q8RLZZu2yOR+4G9yP WN75SnieiDilYbDZx35KxR/ZOO9y6L/DwHVha/7tPemo32C1b84okPjB3ksK y0A2q6KZj4Mi9Rts06/IzNwTSyYTwJZuOe+xL1O4nvlBg0mQNy5VyhsReoUL NWEKWIwEG7gdykb1kVGxnBkQ++WOSdHvXFQ/appgPQ/2y9uk9p7KQ/npGZ7z 80BwVmcVIQfZuIKVHrsAFL7fdsxRe41jio3KhoM/gburNhn7jGxX8MngyRJY 75SXnqabj+JTtFBNEehyX8FmnxNy5PZWB7YILE8OF2+NQGaeIHovikCngStu C3xkTO2lbZ0oLLLdQTkeXYBjdBGfPddWQmubpLyp6ULUf9Hi5vxqOPnJak0y sQg5oiLchQADbQnOlibI5g36Nf8lwAJHdyInCjlx9+mQMnEoed3wgY8OB7n2 SXTEX7A2oPus2N1i1P+99h93KXh+VXhRcZrQOqKUaSk4E2Qs7dqCTNesAXrS UDH8VW0jqQTHXhvJvq2Uhr4xN2iPq5HT9/NA0zqokb1OTJ5QhmNdVhV2YrLw HbXWrpmGXLKjj2YuC+3eeJffs0H2ruZHx8nCcE4ffSATOTZUjaS+AY5wcz69 PFGO/kenlobzRvj849E36k8r0H0RB71GN8O//vifP6IAUb/cPiVHBRjresaW chjZu/nKTKUCVP5AsVt3XehpyVNyJGiU0en4qRKZm/S+rZ0ESzPYRcVULo6Z evLbUxXhuOX3iuMtyOlr2+12bYOn0mMaGWurcYwV8CfkKhnGXwgwc1FCpptr KaSQ4eD6a83We5H7rwgWu8nQ/e6BVsMLyCU/eiJNVeBDi/GO1TnIs1gtdacq rFw60PPMrAbNw41O9YUdkHxyYqQmlIdjTmfHTJopkOh3ZN+lJOSl87evr1eD 0jmJoWuKkS/z5CfPqMFFgiX15CAy73jgzFc12MYtZvTq1uKY9XZxEWwPvEPz /73wDflq/jNiKg22SMnKUo3r0fnKVtpIaMJbLXp47Ow7HAtk/A46pwslqUXf 3hEacCyYO5H9QBemhtPCfskjlzztmcvThe1mqt22h5CJF1k/VurB3Y2yDDIb ef2yXsJrPdhXP/kyX6cRxzgOvGRJfXikKk2y+U4TjmXf7tH5Zgg3Fa7rFRFp xTGFUY7G8n7IGTRpajXowLENQQk1N4/CareELTbfP6D46i7fSXM4p2IolXOt E83jO1LwwVNQ9GeW9BZyD860YbPkT52F4tWzYpuSPuNiBEezJt2LUPuPHccy 9zPOzKTEdVtchE0srZa6XX24cekyaYDmAEmRYz8zJvpxY55WxMKiExyb7+v9 SBvEmUP74mOjLsFUQXmD5KOvOPPwjjWm1m5QcuuryaGhIRzbBeR+/bgKZTjB b1av4+N7M632HtjiDsNci1wSlfm4MXm8wBh3h/8aZw1d9hvG25bo26Z5dOil wSvcWDOCM+3YpzeXeUAXLcXEx2+RlwLxX5Ue0FrbN1SiZQSnew80farygPr7 tBxEu0fQfJS0Rr/zgKIHUqUmJlD85gWL8S4PGHGS5VZLHMWND5uq75z3gJn0 g4penqNoHuOyGtU9YV8uL7RdSYBP2RW2eL/whG3jK79rqApw5pfdstnJnpBL OWQWRRHg5hbjDZ/TPGFiZq3EGR0B3kbRC9bO9oQOL+vCP5sJcEz9EbmxxBPy E95GDN9C9X7sNd7tnnA8rOnpcjMyXpDSjTFgb6PErO175FBH1dIVDNiy5oQV t0uA0+eMlqPFGDA3uFn2/le0H9OGZ0ckGJDOaokm/BTg3IFXISGbGHDWpy1G RnkMZ94SOD9SY8Bfbh+e7bwzhk8Vxs8EnWFAK+0Lj6l+Yzg35NXzIRsGzBbh B2qyUDwi94vReQa0jZ33MHyE4kqS67/bMWBVLdH0ZPIYnphTs3+nGwMGKdrP ejegfNNKCtWXAe/NDyZ3dCHbfw32DmDA/wGxaotk "]], Line[CompressedData[" 1:eJwV1ns4VFsbAPBBUkS5HSeXIpec0klR6qRZckkII7coFLlFE/ZKLonzHWQk OimHIpPq9ImIJFTWnFJHUi65lGspkcbMHorcv/f7Y555fs9617ve9e69195a vsf3+YszGIxM+P3/n5GxNdPq41fErWT4M85QpC50waRVh49o9/bxyAKKRErI a/f8Cl4qtyL5b4q8MzSeEprzEa8kUTe5hCL5Z2NuqoTwkdmuQGvZWoqs3yU1 H/CQjxJs2wqMuily93bR2rc8iD9clqfcSxFjJZaTzXOIZxlmfuujiOlQ9o31 LXzEepsTUjhAEYdz6+zozxBvN88TfKFIxDv77GiFUaRJ+0cNTVJkwnzsnxGV UcTdqt+ePUWR2OKsrwc0RlEY9bO29QxFEuP7mUx9GO/ac/7yPEWydMMHxZmj iKWUxlWXxKQ6/OLmtOBRRIuLa52Tx4TZve3gHBviW4SOsoqYPLHsTWLjUdT8 LTswVQmTBhW9d6z4UcT4SccxVgWTnscP4pUvQT0TySITDUwY0t2NV3ngBW1V dX1MrAu0AstUBIjxZ+dg2g5MjLPl9J6rCxAtYZKcZYqJZvrMpy4tAUroqw/K 24nJdHS77yIDAeJVOY8XIEzuOHG83c1gPv+D8jkLTBTFRK5zQQLUHOi5r9cW 1pvsVVJgg/sGxmvsMOHzG97oUQIUlrX9zaW9mDx/e8OJFSdAZtkuthYOmETf 3W9//U9YL+J3xTgnTPp9eJY2NZD/jmdfiDsmja53JLwJzH/x1ExjPyZVdpef RNRBvJVf70vwBRNslvsa1qNi6zQ9MbFarm8qHID8nlWWhQcx2SypPCMxLECs hEjK0guTVTNiNT+PChBXk9/VA/7xudvEfBLyce2dJX0wKarNMLokI0RmxVaD xocxya44NVa4Qoh4M8rt1eDE28FltcpCxAreN7vDFxPvLIuNw6th3CqaNvHD RJ49uW6HsRBxOzNC5Pwxmff79MVxO+SzaFSIA494tPz3CFOIGBpe9DC4zqpI L32PEIXdXLCvCsDkpIbPmg8HIf+c7PktQZj4sgzdeg4LkWZN5KY0sMMfYqmd AULUHKCq8x6s9+W66FWYECVcuD8bH4yJgvoJ3RcnYP2IhIGX4DmH3R51MWDJ DSuVj2LSVjHMq0mE+VZdUflg3lD1t/scqM+54tp7cJHqWf2ydKindY3a6hBM /pOw4fytbKhnbdRCJph9b/5pQR6MH2QebQB7fG6azCuA/fDcdefBhnsjfC4W Q7yyXZpXKCbq8RaZGWWQ/4j0Ng5Yqlzp39RKmJ8/ZFQOHvs0OJ30EPrn1hn/ Ftyn8uDX33kw/va12iy4wTbF99Qz2L9RnZTGMUzux3lknWyAfFtLLHaAuXfX NUQ0ganEJjdw2seZuWNtkG8LKjoOjvrp1abgdzD/fGdHEtjP5qr/kT7ol5P1 vhyww6njOT4foR9SHI3b4N9KzV55DkO/FmVvqwLrDciLuY3CftzDrj8Fyyt/ NHYag/2+lvNuBM9aVwTtnYR8M2FBreDhmKRc61lYz/DSk3bwiNv6oGsMGjFi Y0I7wIdoRfHVEuBizYA2cAdn9kquJI1YrimlTWA77cEtqktoZFZfvqcezHv0 qukvaRqFKRZsqgVvdasMVpalkaa0x9EycLHwqkTmcpi/s3vsGngN50zeCgWI nzN4mQHOXhNmkq5EI/qA83gMWO7R/hYZFRg3cAnxAye67grhrKRR8/wWIxvw lOAXSSl1GvF0GHYGYHaKQn7iKhol3K0pXwb+pDWzTVwL1jvBPjoC16fZpTF0 ThfqKRl+kQfeLahYHKsP9Z+pC6fAj87kcX+sg3yH6oJ3g2/VsNvGN0L8Kj/b T3C/qLu4s8M3Qz/8NYxKwRdG0RKhMeSP3Bx6EnxaU950ZDvUN13UtAD357fq qfZAU9hPy6ZpAj7qPHB8kAn1bXc9EQd2Tb53/b0Fjbi1xIuG+9+A7yrTaQ/x jzyn7sPzUuWyl6SyoJ7cAw4eYIvH5hTTGfJrrIudCsTEM31j9839kG+i5KAh mGO4tAj7gf+WtoiC51UpZ8FbPwD8XdtTHMwVm1DoCYL51dq2nCOQv3UgxoIN /a2MvH8OzoPP+JGtQjTUs1iyNgzOj4je8vlnsRBvPsj9cAieT6vC8ujTYIaU tyNYSSVL9cMf0L8NzYFacB5ZVB8fKU0H687U5sN5xp1bk2p/A/Jf0CmShPPR IGAlU+wWWHvA1tINkwevl49VFEL//L3q410xeZ0/66FeCvWKn/cadYb1dnX8 8rUajI1/FLBgv8mcFylNkF/V3iDKBuoVxMeZtkK95ofqE/dgEu4euYlug/rU KnanW2OSou+X494F9vb9+pcVJpUNpsF6g9DfV6LepF3wPlhOL6mbhus7P3Gv cRsmrY9Tz9jMQb9tnG0emsD1DdVd3LQA62s8Mbi1Fc6rBk+JrkUixDit2B9p DE56NieUEyFWtcv0942YrJi5PKamLUJ0qqMLpYfJsiGrHspOhMyWyy4+Bu/H xkvvPafsRYi7mSm5eAU8/5ax706zwPIdXrlymMgU3O3guIpQ2NpO9X9kMJH2 UmvJ94F8xRd7R+B9u+QN/ewlBXbRrCfwvl5ErpRq54qQpsJlj4h+inSZWu7p vwr1sa+oX4Dvg9Ia/vvL1yA+2udNCXw/eFbuVFC4BeNllav6OylSdqcfM8rB cWeZas0U8c7V/q33X8j3JmCLOI8iVdFFdVnjItTc0l+fkUeR9Elnr30TsJ+0 eJbjFYr4nZj9LjsF1mEMyORQRC7cfm3SvAglpBfqnrpIEf8gIYdaOgbzpy23 n6VIj1SIDHPZGDK7PeTdlkKR/wEXH7zx "]], Line[CompressedData[" 1:eJwd0nk0VO8fB/AbylYyiPCVESaERCHi4ifZ04rsk+1IaCZtX1tFiYrwRSpp oVSMUBQ9j5C9b1MTWbKENP20IBOD8n2e+eOee17n876f57yfc9XokbuChAiC yEEPfudzss4co0yRE04+/W6JTHhwU02PuNMUGWVhvoyzgwnr2J0Pq12myATq lkxrFyZcdWgiPsRtiqzzSvctcWRCWKhJe7l3iiyovVIRs40JZRXSGQn+UyT7 QFTEnBkT1vADJWei0fd+YJShyYSSUMpitGCKdGvmfvWZZcAHDvQC8GuKJB68 /bYjmwE36apZkvwpkioUzXbOZEAgNdQH59G8tTthezoDsjk+Ci+In6RbhIWr cQoDTvt4XmqQQDYTr+DHMqAlwy2mZc1P0kpE6MDqIJTPs/R4a4ecY3aoZiMD 8saVpMeyUd7rWlJb42H4ePd24SzbabJAw7RYCkTBePukG5Vj06RVdiWT5x4J dcyOj/BmpskRamv0y9WRUK3fsft2Eo8curqgNUk5BM1MErMUDX+RCS3JhkXM MOi95jV/CecXWbCx5t48NwTy2i4OR52aIa0Sw67/WB0Ec0V8j+zSmCUTnESm 24/SoezA41tCjcjdT4M7uvzgxxDnuKfvZ8kOiZRFXXM/uDT21J4th/kkIXM3 7lj8fkgU+7KGZeZI4uaSW0GNeyEjj3VRph65T/G7i9BO+Hx9shglYp4k8mqN v2c7QIojQ/e01AJJsKtAVIkNLHixUtKMgtyi4VZ02QYabCn5MimLrN+r+yPa BrpqcYsCFJE/wk/PLG1gyjJfNWsN5IPL1M3fWEORBgd5wgz56VvlT3wr+Mtc jYgLQqb3RqtWWsIPemzOiVrk7pRel1JTeGOcEisMkTc9uNxxxhTSi3fTLr5A Xoi6G+lpCr9ovD9e0IQcfGKl+lJT+Et5QKWZjWx35xHpawIpEl9D5D4h3zoh 6q5gDO3GRBdKV/wmiQtGdw0KjaD4HYdCU2lkworlEG8EOwJSXetl8Lxn9pyn EdzdL3WzUwHZ1jL0iJQR9H+3ym5BDbl2n8eKk4bw73r1dAdjZLquta3HRliW T2qM+iKXiW5nB+jDnyd/igYEILv1ylZS9aGx+93x/gPIE1HXhgb1YM3KlRXv Q5FnM/iyfnqwKWHAup2BvFz23Ki/Luyjx/qVn0XuqIrdyNCBy9bV5CWUIouM mmW306CDcGTc7zLkumNmeZk0eGFwLf1kBbJWTfBnLxqk5KZoH6lGTli33eeb JvxLfH91SD2y9EntKllNaDg+2+nahZy+vW9thDr0YRlTVP4gb31t3+ZJhU/2 z0qxiT9oXnaUT6NCqWXPlp8RRk6WfLHAVYV13hZiX8SQW2iXZNRU4VoJ28VK WeSy4g7bKypwLHDnN2dtZG6PaHmxErSUlh1fXI+c0FoHXJVgTs07brk+8lBY XvS0IrSX8RhdvQmZOm/10VoR3oe+faOWyBMV2iWjCjBCKbw1Zg8ycWn3vMMq 2PRSr3mDO7KYetJVvhxUPfyjcdgT2YNWP1IsB9nNjDp7P+S6x7UHl8tBw+gT VXJh2J4Ke3tk4Mzrs4UP45H9c7OCMqRhQtLNUx/uIxeklioT4nDFMVHHgBLc R0UyM10M5oUekhljIVvl0NTXisEKpy23f1RiLzam2ovCMcqbRiGI+9gGH761 FDrlE2LaHGS2ufuaFCHYnRbMLunEjuOMrReCgac6cg278flHhuC/S2BcYK72 1n7c74DXTYUlsEzHwGnHZ3wfXx3Xhi8C+Sq/S9HzOM+M1HecA7fvvdw39xv3 mdxlweIDg7z1qvHEIrrf0EYPeT5wiJ1hJS9FtmKcYf1/BsT8L+3N1ZXIdTvu lz/gAfHNvCtUGWTqKs8FKg9k07zohXLIBCfCLncasMTX/SxVRC4AOzsv/ATD r4FcvTrO65uzLk6CyBca/XY0bLm0VzKTYKE8pbBdC9lfuXzgygRYlb3PuFMP n0exveP1A9h7f3fnmuD9bFZGzzgo4apclXLGlj4al/IJJF9P8h9wxeYu8GpG QeCub5qlO3EfiWMzkyPgr9raMhd3vE/rUdzBYZCS5tV0gY7zaUJt6wZBsG1D qncQzi9u/fymH9jwdXbqhuL5vObDxA+AT5/raz+E3eo0JdwLQo2vTEqcwPnw tpchncB2nKjq/RvPefLH974DqgWhMffjsIOD9zpxQJe4qahjIs4bCbvseAPK wY0OxXPY4kdtfdjgElM048t5nGfQbcb+Bdv6u/46n4Yd0HoqvB1QMyyHPTKw 5Uxrm1rBgl3RXa1/sB1pOgYtoLIs2rAlD3tLKmHwEqQH9c/kXMde0yXf1AAO Km17HlKAbWxSG1YP1ibK2YsWYU9PSwAI/pjGrHh/D9ubk+/9HPR8G3lb9EDw /QhXvgaku1f42D3C9lBU7X8Cwpcrq8tXYhd02XIrgf2L09xPT7DDyzNXVIBF nV3MpFps3UlhRxboHXxquhdiv2tO1n0InmSp/dGoF/TRHCeLQYbD+YbpRuzV NIszRSDiz0RyYzP2Vo/zvNvAscLDNatNsN/47T83gWZonWzgK+wJFfWmfECo aPUYsbHvsSKr88CHN2n5whzs44P7iBxQfXbmAKcT25+RdjUTZJn7ad/uxq7b XH0uHURNNH1n9GEnmD9ITAVOhfqVNgOC/+v39ctnAW1/9gmZj9hWAV0Gp4HQ yj+WwyPYhL7h0xgw0BAkUj4m2J/LUjkKnh1/1Xrqi2C/icPpKJCttzlt51eB 5ZPLQ8Dh4Wt71H4ITHmyzh8454goTU4K9ilTkvcALefwwbppgQ8Op28HIkve 3UmfEVh6wzITMPTYPMx/TmB2fAMV1Ibd3mDwW2B/pVczz3NUJXmLiwIThKWF xX/TKo7k "]]}, "Charting`Private`Tag$7550#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0gk01F8bB/BftFD+Gt4oSnZRTEqZ6qUrkqJUKEuahqa8I1sREhqytCBk 60+SqEFarCH3GUtaMMmfV5aQJMmW5dVC3jv3nHvu+Zzvc+7z/H7nKjt7Wp0S oSjqMtnC0/zU4Dv+11M7KeHaq2q40ETeq0duNyJS0mpYjfXupKQVytkIzd7G NcH9a9RC/DSYQnvsLHLAFo1tBbfl2ELrDZicwWpRCtnzihyhT2gW+eFZ85PJ ThoexPyetNuheCispdYp6SwxN8zT+Dq2Zc9Uxsv5ECvptk/H41oT+dKaNF9i WqTA8RbWVTV8MqV4gdgrjnsuA6eJsHLU710k5k1rC7KwWF9o5lGNYGF9wOTL HFze29xYY8MV9js3e+ox9jrENndMChHOEynZVoA1+NN1U22hxIEu41Yl+MPG SJNouTDi3uy9WuU44c4qvvqxcGJNu3RHjM2X5xrgtAhiCcEjvypMXfp32dHu SOIrP4e/1+CS0YatY4pXidmqmul12I3JLIh0ukbsY+sT9BqrCMboSveuE7+Z 64xtwDH50pqHNWKI/3t1Lu8dNlXIyvrqcoPY0lsQ8Q8OrvubVmUTS+w2mxzU irfoa0fbJ8URq7S28dvx8lGfenVGPPEkb51kFx7KrhSfaBO6OVD1QjfOkDkY cU0uAVFccZf2lo/4YmNy7dFyYorZuXDbJ3w0vFdE9Vgi8Vz769x+LDF99lJF WhKxs3gbfMFfHpZXRhomC7+308/5K65mi85adwvddeOkzDfs35LgP6x4i9x/ Tbn64Si2jvpQ8oxPTH34U713HNN3a0yHOf1N8tTTqSbfcX9h6VmFe6kk/7J0 1moSH77Z4WqpkY4ovrRxcMcM1rZQzZF/Scx1C0uR/onFRN2+DLjcIfUDN59Z /8Inyv48BZsMkme6WXyfxTJasXS7pLuIMmr0KT+wAETCiw7gAWJ+h91zSREY 733vpsbIRFTG/KvgFhGoT1HOG28jVlK/5+SxEELECtddlcsirlh6omsJrDeL u1LgRczfyu9uE4PmcM+vnS+JuSGLt7SLg5qodh7dN5v0k2sPHlkGdXNZ9Jbm +4h6Ynu7mE4DT4PLN+a0HpD8gASjlgarLjqNa4QQ095tqHKUAs4PhYILG3lk njCLuSRpkJhM2qoYlUP69WWf05WB4k3nk/Z+ImZ9u5XcLQNML+uZsztyyXxz /j03ZOHxyPKy2kFiowVK/b9XgtXgFQNX04ekXjT2X7/kIeVDgEnxn0fkf/lr Vb5Sgl1r7LO6jzwm9QuT4rYrw5ADY5FYPvGhL3v+eqgMa4cvnMzXeUL6i+6Y T1QBT46+OtVFzFKpHwlSA2n2Y172tgJE8dyHh9I14fTltfY72MQsvbqy9VpQ kRkt/vYG8X8UaLueaQH74xnXHwMFwvf1LPD9eihmampbJBYiyj9wskpHB+zs 7z4e/16EKLvqaRXZTTDWabM0U76Y5IxpN/YmiGCKnbI2IZ7yfx9YuAkKT3rK lyQQ77fkjllvBkkPw/CLjBJEDQbEa6brwYvQdofFQaWI6nUx1rTTB8dF0cWl 2cRqWtkTBfowEWlE4wiELrKIlGSAUvSDF/WKzxC1kOZAe8WAwOTzunHVxId8 RXi7t8Pmh1KL14iVIyrWoXUt2wBe01+wGnWJeRNevHoDYD31rwi2F+aPquf1 DCG6pMfrYy5xi8reVUt2wiA/v/P+gQpEaZ4eni5BkN667+mmm88RpXKmtTZ9 FyybD3E0WwuI2l00HuNtCikcW6b2HmLHVbtohaag1qLNkvIgLpfL/t+EKezM aTvZWUm8Gd5PeO+Bspyk4lI6H1EJmVtyA8xgxHr4uYWAWHKxxNrUfXCEl1zv /Vc1ol7pLbHVtIS046H7TysTJ9Ddo30soU/avdFuK3H89lGtKkvwDDJ+a3ic uG+zVeKxg3DVaqR5ST6xhOiiVPNDUDlr3JG6vwZR9JCPTdGHQf3w6GDN9VpE mblXJe6wAflLZjtc7hJ3aPt2udoALT/j+tJS4h86B0+k2sAvMWv64T7i+DwX uTkbaOKXendve4Eojvk8s+YIBOiG/PnxmdjPukbnmC0Ilq9YQTd6iShX/bHq UgfwE2xHKVOvERWUrtEh5QSS9OLPr8XeIO7MiOeRjU6QFa0b9XvNG0TF3bUd 2u8E7/ava2eaEitNTLKuOMGG+hXe6knEtod+cSln6Hk5dr+AUY8o6amxK9PO YFaVLdkY0IC4I2Ub0ibYsLJIqnvBgreI+h1n0sTggGPUb5t+WWLnaEEskwOZ 7M/1ddrEKXlSHuEc0JYpK7tu9xZxZVXvBf/DAWNfVqLME5IzWGozXq6gn2Z7 P2FjE+Iq1yxBT8+AE/P+cV53E3nPts6TezygpM+k4a1BM6KiciOv9Z2Fatfb q+2HW5CRo5Kve48fTGsYLs93b0Nc3gGtz6uDQeRnHm21egfqrTZuicGhIF49 tXjl3S4ku6DPstMhAvTnWSXWj7oQZdi4ZZVHBDSEbRHUre9BRhs+FtcwroFi 7LefOaO9iNp2R6fifAx8m+npbtXtQ6zbGXd0DeMga6jijWTMJxQ7v2bFes5N kFR4MNbf34+UsmUvdQUngtUQc7tg2QBqMt7nOchIhv8DmbfOJg== "]], Line[CompressedData[" 1:eJwVlnk4lOsbx0erECLpyKmhSFpI06KDRyEpaoSKsjRKkn2LFCqESirJMvO+ 0h5F5bRQ3VMhZC2UJVTIMmbGEEdSv/v3x1xzfa57/d7P8j4aHL8dByYxGIxX +Pv/f/2Jh0s2zOkmyRftp2paXoER05xOz6jvhFFAYmxN0yHYoLhgzpse4qZg tm5TSwZ4sJhZF8p6iDg/bXrjlwzYvebYGbnqHpK1XNuY05MB/6xncSY19ZCO utoavx8ZMGnjdQWhsIcwNQctXBUy4bxtjFeJWi8xtW2VO7cxE+76mzODA3uJ /7ekH4o3M6H9fvGZOo0+wiS0ldY+LtQOTBEYLO4j+Xv1o2gPLvCXWVinLOsj WUU26SreXMi6WyK3ay3aT78N+BHKBc7N0nOt1n1E8bVh4KmzXOjmlZ3/fqSP sHmZdxofc2HgbOWliSqMP/fuj5U0D9reyQ27fED/Yp6d0UweVMvY2PM/9aH+ I2a6Sjy4H181+9S3PuI/kiL8bx4P/GOqL0uP9RG3aXJr9unxYDii9oryon4i Vm3K2ePAg3Gv+swlR/uJ25PxK708Htivcb6wIqqf+Mtw1jGyeZAr1R23KgZ5 4Vil0k0euKSNBhgn9RNmqlPl0vs8eFWittk2u5+Y/uaOLnvJg9PMfcNhFf2k NoOV7fWZB8qNA9ZlagJiqjx6tWwuBd5XQzdWLRAQpnN2pZM6BcXef9a+XyTA 9VlZ1LOAgtDJsxa2rkB/Pfu2UW0KmvRZY6KNApKl7a7yjUUBfeboDdXDAuJ2 InKWYDsFSzdM/+1RJCAdNh97X56kIP9uzuJPfAFRtFgwRzqOAtZstq1VqYDw q5fPsU6gwOh72vWldRivfPhM8XkKtp3T3SruFpDksOMLjnApCGyySQtXGiAd PpbUlwIKRjZKXvWpDhBmf57txycUROSm9u/5e4CYEvVXbwspiIlqNzHRQXv8 vuo0PgWpWgFdk0wGCOP4u4jxdxQ8C0gxOHsI7e9ch159ocCkZd3eCd8B4jbT 6Q2nk4LX5p9jfYPRXi0x/N1NQYWqdhM7aoDo+46raAkoaH3xJErl8gBRpOo9 DEYoYMi0VFL8ASJepu26ZQYNltkaBx+oCglDolpxcCkNrDR57VJ1IRHHPjJc v5wGZtJ4Z7OGkHSsq+uYrkfDz/AGzpRlQuJfFvM+xYCGe7YJLrtMhYRp/WlF iCENylKDDhOeyI/n6m7fRANj9PNsJV8hUdy/tbDekgaBoOKDdpCQJL++H+pg RUPpp+u27OOY70R4wGZrGsLzd9tcuyAkWXL3nYdtaWh35ZtbFQqJm92TM+57 aah0uDfZBTBf/anUTGcanm7NeB1YLCSmpaziahcaLq4NNuVWY79n1sVp76PB QkHHSPQV7Z/6UjMP0GAwVWV8cg/yC9HdXA8a5o9LFc4dQP/K0c9PD9LwX3fL 2o2jQsKX30y/PkRDzsvzqy7LikgWtJzM9KEhreCY5I6iiPjPbzsZ60tDzN1D D16qiEhyXxzl5UeDS6qZXs8CEWEMmy/WDqBhlu+o7j8sETGtXBvMCabht3tn 73ZDjJdaZKkVQkOfY93t/SYi0mHWbvANudgiRztps4hEM6Ls2EdoOPK3q+aX vRhvPJEvCqeBw9bf2bpPRGrLRkn8URq2nZJK/OiB/rd3z1GPoEG799pglb+I sA33pK0+RoOSeohWeYiIuD2INytCnti2ybH4qIiIZVmrjY7TUF/Qwy+MQXZd 2a8XSQP/+7PhfxPQ/9H8vGzkHLUzOg+SUD+P/1QxioaT0cuTb6Vh/r2+3DZk 30e/32TzUP9CrVCTaBocu2tGedmo52B3SjqyvnWga0ou+pcOZW04QYN6lNml 8w9ERD/g57kk5OkPZ79NfIz1iqKhEVnS2fUztgj11XiuVjtJQ5vqkxUn+CLC r0oV7Uau2BLPOVaC8y0XD1xE/ve4Y+qRCrSXu+iXIWfl61YE1mC/VRWP/0M+ +218wqdeRPJLmCcWnaIhbE7VykNNGJ++7fxWZHcr6sD+NuxX0/yLD/K2Y37p rt+QVw2FnkFen2da5dSD8Re2s68ja3+dJbVzAPOPbPN5ijwLbxVbCdZX6q16 i/zLssDTehTXN1E18D1yz9FYruUvtI82OH5C7tu51PMqQ0w6ejVim5DdxMqT FkwWE0bXz6EG5MaEX5ncqWKSzOHcrELeurBrtZq0mLjV7eHykfnPq2quyKD/ ZUHDfeQ1Ox8fUpmJ/tPU7dKQc0XU5EsKYqIYPKR8HFkz4TRPUUlM8pmRc52R 0zT91ybNFhO2ebnbOmT557vrZFXFJFquUyCPHOOw4XDCX2jPaH/egfMbEy6Z Ol0d802rqb2H7BuvRMfMF5Nap7c6ocidGuPrJmmICTO9vdgQuda+0ntCCzmz ofwhrucmYcG0CB3Mr91v4In8/DQv6z9dMcnSTe6Yi3yr0Ld+SA/15cyU8cb9 om6/yzfAAOMvLI+TR744QKRFLDExfX3YMhf3WyRzllGfIerf8T29Cffn8LOx hoNGYuL/JGLpIWQvu69+XSbYb0jrpGHc3w5xj651mKH+8NJT47j/lwkcZD/a YLzxpPo6PD9P7a0hkY16JyqzVyCbvdgYZGInJmKy51ssnjenJL2WG7uR2+SK FobRkKA/IyfYHeNVDlSr43mdnf7HRccD+6eaWDZ4vrOkRpRaPbH+HYFCWBDm f//1qJkv8rMkrRd4H3QHP9+iFI75Souap+D9Efj54e+SCJwHT0YijffLhMWd h+GROC/XyBPTvTG/aqral1OoL75CZhjvI7Nnfn15SRh/wawhEe+zrAnNRJvr YqI/2Fqctwf1efxlInUL9QSVU3ucaHhSrSApuIPc2DUm5UhDNf3LUT0P52th s8ZkJ9bb0Lik/xmuZ8rr5mA26o1LKI+vwXl1sgJbzLBfYdRxo/e4v1R1H+lt pCFgV+hKcb2Y8G+PRUea0hCv456+qxn70/UplTWm4XGF0SHtLuzfWk2xazV+ DxTE0sU/Ud+lFM4lbRrev0g8bTWB8xDpuz9ahOvrrTWt5g/qebPsQbUm3lcV TpObpwySjjjfdaPzkWNLJkTygyQ547GMoioNiuMZknkLBwnjgW/4vmk0yH23 aA3aivYY38IE/D5WXu5wGrMZJPzO28oq7RScNY9oimQPEvbNlR8zWymQzc5v THBA//WWVzM/UiDjPK+Odh0ktZmXXfZXUSD9QVzyLmiQMH/rec97SsEUyMxb yEXWX3VtcSIFzUbmm9sp7K+sye0Lvg/yCgUdGVcHSfSnfd2XT1Hg9NhYSekW 5pf22i46RsGDe+3BjIeDxG2qVqm7HwUu3IXrP7/F/kGxwN6OgqfhOcWpQ1h/ IiyEo0pB0qid846RQZIf4OcVpkyBe8ivHzPHsJ6VjkuCAgXyATaLY38PEsVN 26y40yk44ClKCJohIfn3WzhxozxQ2rVqO3uBhLB3GNv4NPLgMKuoacZWCTG1 fFh4KZkH/NqG3Kc2EuLWzAzTPMsDFR9x1EG2hIg/XKFzT/MAbmhplzhIiL91 CutRJL6/VJMDo92QHVvvJ3jzoGhsv+xoCHJ5811nSx7IgrxxZxbWm+O7OX+M CzlWnKyXI5i/0SQo3JYLrGUaJmQM7Wp513ZYc+GlfEcLjEtIctI8to4lvnc/ OKu+YgwRxpZLi8qNuDDs7Jj0RmaIRH9pHuxYzAWTQPaxsvlDRLHtZY3XRCbU Zpjsfr9piOgP5+76cSMTfvSrKXanDhGmqN5650AG/GtnOTnFfJh08F+ub2Wl Q9TmWLqge5jU9swxN/O/Alb27osdfwwT07zxVLC4Av8DQuluFQ== "]], Line[CompressedData[" 1:eJwdz3k4VHsYB/CDkX1kuZXKtTRpUJIiKUaKbHfKUhQxROFKltuqNChpEVdC KinX0qIRcwvxe5GlSBGia0kq8YiIGPv9/fxxnvN8nu97vu971DyP2HsLUxQV gR/yllKNuRM/Ocraxem0Pm+QBEYbzyUo6Y2xKHrPzfawa+D6+9sJoUZsw5AN U2F/w6+amO7A8HGWqXnljifpVyGZ5vaXPUPA4nZVx++6ewkUOv+9J1whYJkm Rp8wr4+CT4dswwpbBKyuZysbTPZHgeiZcMdNQRMsjsct+7sdEUDdd+N1y0+y uP0pTxY3h0FwCi9GvnySZar6qNBt8jiUaEeLywVMsSjefmGniSCQsw5eHUGf ZlF6heufrfWDtDJZKSO5aRa3QYZ5W9wPdDfl9A0rYC+jnO988gU2szfTQwnP t7ZcEFzzhUsL3NS2MnA+Xjg0O+EDtBdWiygjbMUQWc/aQzC2WY0K88bzNGZ0 bqQ3tK+pbzxZjK3GfFpm4wF3+uXOiAB2jLC3qI4HeN530Igpw/YqEngu9IA+ RsuJtCpsIVrHn80cGFvWqVxdj/slMib5HA7ISX4/pPgV53muA2yBG1j0iE0/ lplhUWZRXPMYF5D4xyrDcCF2ubCvvbMLvPa4zC6Xx46Lbb22wgUcOuh3mxdj PxC48Yv2AafpN4tpNey7VKR//14ILV8RZ2WAvTQ1p3iPM+Smshhf3LAFGhMj jrth5NSImIcH9g619PBVu8HAKau/4wD27aOaZpOO8FxWNr/FB7tfqsElzRGq uJ1ba4OxbzTxhgcdoM3zjHteFPaHyNDs6/awYNXzFO5jbMvxzG0Su8BK5EjY TC7Zf7bSpWInXPmo7nkqH9tk7+j1YztBLvmS5l8F2I/afTe3s2G5xL6CQ+XY 353MrR/9AXr9gmb2e2wvwcUQdxvYzzOQU57FLqDbV8ntgKf7BPR6apZFWRx9 U1RjAfQFRdKRIti6FyZWnrOAUldj8T5x7Kb7ahyBOahLbp/jK2AXJNA9e7ZD j5fdgK0mtiu7MKbVDEwWKvTPaWO/G4r6mmwGSc+bevN0sIdeDeTtNQNLeecv SzZg00LWP27fCg/Are2LCXZy+hZGrykELPV/ddoRm9HKHdE0garKNdVrnbCj jRpMC41BJehHRfdebNt09jErY6ivDi61dCf3Gg8m+28BvaMnnyn6Ya92cH5a YgTjb6MyHp3F5mjrLru8Ebjn74a3P8Duyubdrl8HMsfFrD1ysEtFRsUj1kGK z2H5Hh62M83XYMM6yLfZlP6Dj52gk/8+RRd65BoqhAFbNcLNslsHbFIpcc1G 7N6xe46RWtAae7A+p5n87/EpxqwmeIW/TtZrJc5XPXJKE8K8kjW3dGAvzG05 fJwJuVq6Nju/kfsuxM1FaMCiZ+5Xj06RvGcAPqpDenblnskZbO6B1W+C1EE3 RVvlLDXHogIf0q1E1cHqzDgvWhQ7N1QqXFcNTm+Lbbgpi502HIPWqoCE/q8b qvLY1AH9QL/fIVHDxTNDEdv0QXZ/ljLwJFaNPFbC7mLyNmovh+63SLF8BckP lvTaK8GRMkaHhQbxzLGc9CUwnXcpo5ZJ+u7laI0vht8S9xg0r8He1WxnnrkI LF0HnXo3Yg8Zvi1gKEJOr/JNui02t9S/xlQWom+f53SyyffW3dwldPCyH1j5 2I70B15NGpOG5cXFuX84YXNa6ioqJeFSrEvVFU9sVdMr63gL4OD2F5ddvUlf vM1MgSiYTWjZrfYhuUjb55c0mPCcbKs9TP5H+l7bpDD4GNwYljxJ5pPsqmzn 0PZ+6tl/odil7HffYAappPmcfhBG9juIpZpMo/cShmLW58h9U3aBbhMoD915 rXSBzKcw3OfG0dUQsfi+i2Seoxz9cAyZd7xffjGW5JuTmStHkWq8SbdzPMkr mwJ+/kTTFplZzOtkv+q9KzXDiJ97VO9lCrEC+7X+D6R+TtFSLJM4arVq8Dc0 a3hapiWb7Kc3avO/og8Dn99lPiT+c0ZV8guKc8rfb/GEOOLWy6Eu5C+9bMUi PjFTelDoI7Isi+j9+pS43lnGsh3NadmHnC8mzhJx3taC/vtYaLgbiMPy9403 oacJarOM8vm+n3Vv3qF4q4svRiuIDZXlXtWjgNmh6Ipq4tyF0zV1yDrfmZ1Q Qxyn32BRg1b6lCp41REH522hVSNKmflhfT1xRWWtUAVqb4hNFWkkji+YNi5D BVHjBxqbif2lQgNKUMJmd830VmLO9aaWAhQ4VDUY3EZcPJDI5yObDB2+Wef8 PdtXCT1BGvsST8p/Ig4cCgl5iIRlZ026PxO/zEjmZ6DOF960vB7i3qxNJWmo 6ETdq/A+YmrmvPgNlLhGP9bu+/z9vgNzf6Og7luOaj+IuT06SdHINom2dHiY 2PSNkP1ZxLT1/1g6Om9OCS0Y0YSa/okbn58vY2d5oK5/N/txJuf7U6VrrVCx X/pa3Zl5ix/0UkdJKlK/5ubmTVEF643/By8N+UQ= "]]}, "Charting`Private`Tag$7550#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0w00VPkbB/AbW02lqH+KiaiY2nZ20qsSfpPXCm0aZNDsyEgjhWwlUoOQ UGgatLa8h1IihuQ+5K3yFmlVIiklEb3YEtX/cc+5557P+T73Oef3Pfcu2u29 w12BoqhjeE88t7r3tVS8dTemJi7XmPJfTJk+z9XNCCr2KW8jvfpSYnKhut2E y4qnu9GvNHSCj7AEE57l/+EobdXYXvCPumjC96OEp2mdaM3Mn1pitHbSwicy enyrW4Ir6wA6/+S1nlS6/2RbtavMF+3zakQjl94p+lIer/4X2r9ssWYBXW3K lFclH0arfbX/rYTWW2KU/1nr6MS86hdzoJMVhDm66YFoO/uA21U0oyckzYF1 HK2hK/e4S9/qbm2sspOgk+P7chppn+2irS6yYHR85lhVC82qGKn93B6CTskx VXxEd66IMI1RP4m+W/BT+piWXlKr0HUOQwvkloHP6K3KuYZ0cjj6unimSzdN ndhY6tAVgd7TlJ/VQxe/b1g7pBWJvj3Ff2Ev7SUQFES4nkYfumBa/YZe3DTE 0U6PQl/lv0vsp8/kzVlmyzqD3uylKB6mzTUzMt56nEXHKitofKSP115QqbSL JZSE2/D1zSd6zTp2DF8Wh/b7sabhC638/q96Xf14nI/LZfWO0v2Z5dM+tqMl lJ5YbZxOUf0j/LS6FHPnzjMeFAQ2JlQ73EJLMnnSnEngENatsMT5PObvDZxH FUBpxPdEWbIM8+fssjuT4c3VW+URRgmE4iY8TjScCndEiuO8rgkbWVdWM8C/ Teo/oJWE84NpBykl4EV3FpdUTNg7d8PNmcAxY42cdL2A++tb6w4rw6tCua9m +t+E6t4zY6d0Ntiee+q5jXURc5PAnamqwLZaksOsQ3M3G3bL5wFD0evNa49L hBKyDTf8Ox/+LP1xA+xS8H1z1ZjlTFD9NZbjKEslVIpP2pTVWqAQdtOGfj3h dS3XzLRhuPuxl45+Gu4Txw1/0ob6xEVXhtvRQssX9YLFEMwoXBqpnkGoB6lD 3nt0Ybll3KkCH7Q2FBEzFrSGeb/tqENznR2Vli4FHUX2Fc7hTNz/7mDh2DKo /Z7BaWvNItT2gC+PXrDB2zD07PdfL+P8493L+34HtUDXYVYwumJ93OVPHBB/ 1Sw4uiIb+0ldpRajB0qfZGu1onNw33/GCg9XQdHKQ7LNL9E+lcy5+1aDwIf3 xdcgF617pHHyGrg+qFxa3YcuMYsgpmthR98pQ0/zq4RScXvr0qUPiZ0BpkU/ rhHK/5WUm2AEmzT4GV3217Hf6u+VTsbQ76Q/mZGHHg4Onb6IwMKBo255v+fj ec17x5y44C1ep0s9Q+/1UCmlTGCO6Hp25voCnH8g0ok1hz2hC/kGInS36tQT DAsoS4uZ1nwWnayXsSXEAkQv9nl+fY22exi5MsASigTL2FbnC7FvZZkgcAs4 8lOvD3+4Sajs+MxbVTYw1GE3PY1ZhH3YcVu2bINwAcOdZ4p2zNm0smUbFLp5 M4ulaMrSuPnlHzDrgFFYoH4xoZT0ki2VbKEm5InTlCA5ocbtc4yEPHCZHFMk z0THptvk5fHgYwRXRdyEPsbsrh7jgXbM5Zp6rRJCbWZHDCTZwbGEQ3pxd9D5 fpWLu+xh1dXZUzQYt/B7mDZ/e7gj3OPUCBv10MdM+nd0OYLwhn/ZcT66qdiC 0udDTPFznxe56LsdHOd+PvRV5HVk2ZTh+TZkq/Kd4eKjLTdWnrtNKJ1rVJmD AGb8DHaxXAiEWm/u1STeDYninQK2BdrGNiv00m7QaWMLZx9AX2RejH60G4xz 2t06ytGjZz4kmbhBaY6sSM6pIJRF3eZ0bREM8gZuWzWhO8M5RwfcwT47od5v 5h1CPf7vvVeVGJJ3hVjvWYQ+yRJeUfSEnjn7Gx3XosNXSI3NPME7yKTZaBe6 0cTZrdYTIncMtk7NQzMefstq2gfl4yZP/7auIlTG5BLm0H7QtX3fVxVVjf11 hr7R9wXmCUsDj1T0RgdemNAXVPJSoqbL0dmbzO0jfeEbg8ex7UG3bJNGdfjC gwq5X9f6GkLZvxyxDTkIAXrBP7721hCJ9RoDiyd+0KQ8dy6HW0coZo1Hw9XD cKRpA0n8fA//D3mcSv8xmMUp6r3HuE+oc7c9MxcEQUaMXvSYBnpHZZa7TRC0 WC99IjC/TyTN2YZ7bwTBb/Vz/XRl6B9BZw8FHofndUNZBfr1hOs0c277DAlY VmbOagxoINSN1lpSEgzzb87umjSpmVSYB4hcbcPAJXrM7tW8ZkINqvxv9sEw SBP11teyMa96l/IkPgzYqqWlUY7NRDIYbV3UFgYmh4XnVfMxH22XyPjhsC55 Z5Z0xQPCVWOv+u4RAa6CrF3ZXQ8ItaZgnJsQCcU9pg3Nhq1E8uwUFBufgTue /yzgD7QR7jkrJ5GBFEZYRsp5+9uJZJ6ppmVSEiiMXlFZoPuUDJ8dH7X6JQXC l6fOy5A9I9rf9h6SL02H/wMHc5Zs "]], Line[CompressedData[" 1:eJwVlnlYTG0bwBuFyNamVCgpSehNZEl3iyWKt7TIVqE3RVKJFlIoLZIQ0kIq 2ixFaZk55x5USCshpJIk08ycM4lKxfd8f5zrXL/r3PvyPEdrz6Et/42RkpLi kef/7/ht1gOxBa1geCivJMwqC2sjjeur9dtBc5HrolX3b+PsxN6hPHEH8ANL TY5fzMfegfa2N4ad0HF0/YP/nO5htoBbMyXhC/ScX7vjHBThlJk5TFdXF7QM rZr+wvYhxnuXeGbM7Qbh8Jf5rotL8Jd5QZdX+DewnqJ/LH5eKQYaVRZPf9oD qt2iAb+OMmy/V3m2SUsAMR6pnqfPV2CjSEZoNE8A7LPpzfmXK5BvsNY2yUAA ejIWrvWpFZiRXzVpq4kApD6rl0/IrcA9t6vPtdoKYJBnpWHPr8Du9OfnvwUJ IIKJWTKbrUBRfO2l0ToBTNuxKD7dlottLyf1u74WQE+n6hSLLVysn7jJkd8i ANmLA4YdW7l4L6ZO6fQXAWj+Xr5Rfi8X/SLrL8sOCSA5LdbNLISL/ccaryrO 7YXligzFz+bi8P7m1PmhveAyzKLNIBcdl+26sCi8FzRVTy4eO8rFO5zuM0si e8E6QMWrgsND1+QB/9UJvZBsba+nKsfDx1Vq1vaZvfC8XuFCxkweRmvu7g+u 6QXVxgtenRY8VHwrsn2uJiT1z0pVjuahz82jlnWzhdDT7eZveZaHlT5/TV7N FYLL2xMP9p/n4VFpee3WRUKQNbh64O5VHr43NB5iLIn+79D9wzk8vHE29JbK ASHkphxZUPqMhwssxv/x5AohePrc2ynSFBbmF8xr4RM+aJ14fDyFxkp29huq hZCRyBa5yFFo+i05e0ET8eeMCX8VKNx8Tt+G7RZCSxDlMH4OhQHvNyWHKIhA dt90yxEzCn9Z9j0WqBAONZ8bYUnhsTtXenfMFEFZt4vcn7UURoa3m5npiUDq nFHrN1sKr+j4fx1jJoKIzCDjw9spLPdPMor3FoGXi4aBZyCFZh+X7xz1Jfaa 4oZigih8suZTlG+gCMxvrUi/FUphjYrue7twERhaWO6sjaCwlSoNV74sAs1C N5+GeAqlJn6svc4Xgbt164m8LArXZ2rtK1IRQ/KIbVlqLck3eYputYYY3C8s yq6tp1AzYbjrg5YYvMJ8ewcaKfwd8maPjIEY2IfSUavfUHjXPtZ1q7kYDA2s iiM/UajIkTiNeokhUbopgSMi/gY+KSn4ioHvd9HznZhCobDmte5hIs87FZ7D Uljdkm1vFyaGsqDfvsv6KQwpdNmUdUEMPXnR6lOHKWx346/ZUCEGc/e6w/nj aax1uivtimIo3PWjWHsCjWU2KU8CKsWQOzlU6+pEGi+aBJqn1ZN8St8E+Uym ce1UPVOmUwyNH6SGGhVoNBqrPCzdIwbVknWB6ko0zhrmVKiKiLwryrsr0zjY /dHEckAMwY1y99+p0FhAn19yWY6BQdNDzhEaNCYXH+/Lm8aAX0hMdepMGiPz vYtoZQY0Hd/aFc2i0fWK1eKe2QyUOfgU1mjSKO87oL/KmIHnYtXTj+bS+Gdv 1/d/VzAgxbO9k6lDo2BbU66HGQPuDcKeGF0aK9cW6CZYM9DxbP81Kz0ag2a6 zfm8kwHrlxZP/RfQuMfO0Ll1NwPLRwrq9A1o3HyaE/fOk4HGMfpabYR1v2dJ 6vwYMPTVuLlkEY0KGkd0Xhwh/hpCat8QHt28bltlKAPTOJRZwGIam4t7+BWR DETUDP28Zkgj/1t5f0kskQ/mrNT5h+SvdlavKIHkryP3NJ/wqYiFiTnJJP/v hzOzjWj0ffjnaWY6yX/XuEHVJTRu624YSM9kgD3PuRBN2NA2wC3pDgMu7rVn HYxp1Ai3unS+iNir6RcWEh7/QOlZ3CPi74JJouxSGvu6vv6O4jLQ8tr2yHbC bSqli07yGSjcJ0m9TbhmY8ye41WkXs3d0iLCJWHbrgTVEHmnH3cWLqMxo1C/ JqCB1OvT5ytehOO/DI8ebCb+5U89TiccPL3uH+/3DMj+m2tQR3jvhuv/ebSR ePIWtvwivPn4oWtuXxjoETJP1UxoXHnfvG57D6lPShOznLBupzzHWUT0ReU7 7AnLK38xtu8j9t8ljfcgPLK+2Mt2gIFgGYcffoR7QqPS1o+QerV8nxVMWOC8 wOumFAsdhxziQgi7s4pjZkuz4JWRsPQI4bexI6lpY1kIHryueYCwjfbXpWqy LPhhvM0OwnxeXcPViSxY//R4tJbwMudH3sqTWXi+ZcVufcJ3mOvSl6ayMG2D pu0EwnNio9OnKbCwnLM0qJPklzzHzyRBifDOq50lhKfwXJrkVFhI7DuQcJpw pJPFgdgZxJ9ia6gN4SHx/LHjNUi8lcq5kwn7xijciJzFQswTm+k1pP5dWsPL x2gR/bCSqgjCjY61PqM6LEQcnfG9lfR3nbh43DE9FqTUU3adIsyLTs8Y1GfB znqH0hzCORW+zT8Ws+Be2L7BjsyLhuNWX38j4q9184s2Ml8XyVHHGLNQdtg5 fh/hE5rypoIVLGiaVbTtI/PYXz70Zp8pCz1133zbyfzud+g89NWM6IfZrbEn 7HTmYVaHFQv8VXl8bTLvBkInuXebiP4W58mRZF/KHG0xzo4F2YZL6jTZLyvK 8rCZAwuNuSf9JPo0bk9Y/PGWC/k+L1piNZ/GWMMJBYF7iT+fjfuSyf4qXfvr qufJgvkC5nEa2e8Mzi+FVi/SvxK1/SnaxP6rzlArXxKP2/fbJ7Vo7A7kbVQI YYGV/i3+S86TgE8P/lQdI/q/V7+qVyf7uTbvQcgJFgxD/eWuqhH7KlfUPp9m oWWbfaSiKomv/JDgfgLp97r+Ih45zzJG58RtyiYcx9NsGkfy85xhxskh82Fy bnjpWBpL66f2FeeReCaVWiRJ01h/Y2Sbxn3S30qL6auliD+Lt/N7y0l/sgom mQ9RuP1M7IuYBjKPSlG3Jgko7BaHh5m+YiF3t9SwbA+F/luP/sM2k36ZzX73 5yuFMXp7r239QOp1vV3/3WcKH9WYeut+JfMXV3V05XtyH0xlZSt/s6B3oNCj rprCV1Rc9IZRMn9C76T4Sgov+uiMa/hL4vOwWr3uCYUKNdulP8hIIHh8EieP IhxVNcpMkcDzJ0tiDIopnDac0qeuLQGX+VOXLcygcNK3ta2HbSSwPHJAVZvc j7WXO7YPbZKA14My46X+FMavOfb+hB2xVxQ+0dKXQrnMwrexThLg12iJbLwo nLhLvemGG/l+MbRecyeFsq/ZqpeHJWDu/XJCE7mvZTD1vnaaBHqUGsx3TqLw g+ka6/brxL9L+q4wWQrvVwg7Um4S9jHNTpYh9Xu0WkEhRwJ2sct41AgPi+62 B0o9kEDH7g+BT4Tk/ydNe+WnZxJoyUrhlL/kYVlIQeWVHxJILrnHBETx8IAx 9/0Emz5wd4uZ1N3DRX7jmztlmwjPHJxQ/YWLygfZ8H12fWB+7bb1zTYu4i0d 3SqnPohZeSl5QzMXFVUSAyLcifzRCsFu5CJ3yENu4Egf6DllpxUncVEOp6zu yuiD5HXnE0dWcbFgw54M+lcfWHeOGe0Nq8CfvWrTuq/8gMa9B7Nm95dhicN6 6aQ1/RBs5F1+SL0Uw62jbhR390NMzs9Vc9aUoNanjS1ZUT8huLJ/o8DjIa40 iUyaYfQLpJzyo286FuHOWQ1DnNe/wN3xTKXaq3v4s+Zcp9/JAfDzd2xWoPIx WcY1cMvcQZi2u56Wn5qDim0lmWMqB8HObLj+1fUslDpl8kTjzSDwFVc+PEn+ 1/8HIohJ8Q== "]], Line[CompressedData[" 1:eJwd0nk4lGsfB/ApylKW0eQgjEG2cpIXWcpYyjtjK443shtEKjQlqaEhhCwd SUWvRFEdoQgden5jyXLSm5IU0SRZXgqnxTbMuW9/PNdzfa7v7/7e9/1cD40V 4Rq8mkQicdGD301OAeb7++bo/NyByHrtYiDd9a0YklugF1Kt03hmecDOq8iQ a1qgWxm9OxrjkgNPtqSIk8MX6aT2/rAjwZlg8vqX59mRi3SesPXER+tMqOSU /k45vki3Ulw6G6aaCUXPW5UUTi3SuYIXd+t6MyAlYo0+NQHlj3g1exwywLUq wUU/F61fWySqZZIOo+axeUwCzZ9RXlTYlAZke/bWBGkB3SqDwktST4bCRpl1 5mQBnWtGrDq/KhkMzO6Pz2xAnldvLuQngbPOWEmAooBO2iTerXIjCdLW+tKs NZFfG5+3VEkC0WamPMkcebJPT0U1EX5a0EhxwQI6L3+aGWyYAO/1u7pjGlCf ZHAL2yEWbkyQY0UAuYRiG6kYC6y7v2llNCKXzeVfG+XAuGbvqcJW1DcTOBqR yIGfmwZV2rpQ7uq6bQvvDJAlJ0Mon1GerFk5SD8NdiNignKpJTo3cXAvwz8a JG4xb5vKLtFJj/wSn/4rGjoDLjg3ySGT7nSHi0XDbwPSN3t+Qe6nt+2pOAn+ rzfaCWjIHcfV1qw6CWeaNC4yTVDfIVmfv8pOQGUBXXPYFzmbosfezIZvp7+J BQQgV9e27hAeAxP30omBQOTZti7td8egXkamqjcU9T1u1TufcQxauYPWz9jI Qr0hm7lI6GfF+j1MRt56VMnrjwhYq12fxy1HjpazTfc/DEyRiLilSmRV7p5y 1cOQ/kGddboKeTmlUXMgDMhX03RP1OH7PCDLeIWBsoRnXUgTckF8zFvPQ2A4 Mdfj/AaZTdYzCwsBnwoTssoy8ohVOKk9EGo856S7SMvo+6V+/n4hEKTX/rn+ nAiyztsqh32BwPPeJT4ujvyTT1PrY4G65G5h9QZki8xO1t8BMBLk8sVRFzls XbeNsT9Yym6YEG5Bzm50K1v2gyv1r8ce/oqstLvv8iU/YMh5DCsYITOKPlaC L9wD3/5hS2SOhoQIzQfClY50cNyQMx/Izop5QutT/bZt7sg1TDHzOweAemyq ZegA8mBM5C7mAehqY/MYfsgm6ycTMzzAMCqmlhKGPDxwnUx1h9kXybfLzuL9 VZ3mgt2Am3Qz/v095Jzeb9Iie0EqWsw+4D6y7E7nJI4z5IUelRupwOd7z7ec dYIqB7PiqWrki/JTMdOOMEJ+2bIakBV0VUX+tgeHApK4bjcyn9CcM/g3vM06 2HW/B3+/cu8wwg6C4juvGr5FbtdXUHCyg7igq7o7B5A9CmY0wvdApZ6Bw95R 5E7/si+ELcjX+mVGLSJHbu9ozbOC4jtP9y8sIU+XJpRZWIFB3hbqWZIQnUfA TqmnAzN2tiJlDbLHwLCUgyVwbLNe5ssgM1g305MtQML4xzU1OeTpzhSXfnPI 1fJi3aYgm/J3RBiaQ4WE9rdyRWTZSzPlo6Yw9IKgNGkg35FpoISbQAT6y+y0 cD/j64keYxA8TLv9TAdZJ9+HRjeGjbn7TXr0kbmXd3ooGgHD+6v72A7cR82S Gt8O98dU8qUd8f56hXOjWyDlv0n+g87IlYP86k96EOT6ZXO5C76P7c0Pw7qg 3NBQ6eSO++Kuh85qQ1qWV2s6C5nkPn/NWxMO7m6+4B2MbPUgXPmcBtjM67ls DcX2Z/aVq8M8a6H/2VHcn2c0uZEGoSbXZiRjkHkxfDNbZdg9QartO4P7o6T9 hpSAWhjKuReH+5Udzl1QhDcSpmL2iXhe+L/kRXl4SNzoVDyP+3/K727aCJnH xbLHU5HVXoU0ZFNgz8Ab5dQs3FdSf3mfHKhlWw55ZCP7e5x4uYsMAruSUp3L eL3S1VgjWaiujDJsz8PztIbyM+tBPZHCECvBPriQylkDy6Ycqd47eH+7WyfH ReDdl0+vSv7A6z3IYyGr4aJ7lY/dAzzvOb95u5A4sn6Thnw1Pr+n+rMcAcFo TBj7XIPzJ10DiguEUM/1eFIDzlkFack/iL4Pj03/Azi3zDQ/+o2oyaEtazZh C6nnjs8Q2czU5u8teP5NR/v2KSJ8eTqlpQ37/5JVjycI+yoP55y/sE14lbFj xOZQ3oag59iKO4o4n4n3L7MKRLqxjaKKtPhEXfJsYHcPtr2bb0E/kWPhp1v8 diU/7OLVS0ROt35l92OLXmfEdxMOt3+tthnErtloJ9VFaHnmxsh9xN5XuGuu g1gts2w59AnbcXEsp4UYbA4WfTiCzWPWvQLiz1PPO+LHsbkWj/triVx94yyX SWyGg6rRA+LY0HU32hT29DqfS6WE4xVRpZkZbCu6G62A0HE88oH3HZtkzTn4 OyG66vWti7MrfeQ8ajzBf2QR5r+wkpdStQ8RDWHF2wyWVrwzSNaGuEJd90Mo XDGJK5vx5B+QPuGz "]]}, "Charting`Private`Tag$7550#3"], {}}, {{}, {}, {}, {}, {}}}, {}, \ {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12Xc8le/7AHAjWX3IjuyVShIyKi5RSUaKrIrIrqxzSltkpqKys4qIyB4Z zy2z7BkSSvY6x84453yf3x+/v57X+3U/436e+7qu+3q9Hgl7j4uODHR0dBg9 Hd3/Hc85TnVWTztqhdg78O++31CxQ1fIc0TwFDyqOirxamOxSjk5NqFQ0AzY JCRlDpsKYmPC0n4+sjag7JEtMOVwBDNo7StIFHQAdLuUZNF2EpN+LvKBJuYK ycMbo13M57Htc9dj7GTdwTlksuzCDUtsJqCnzi7aC558zX7mPW2HWTisV70W JEJ/pKD4x1UXrE5XqLQ24Q405keJXi7zxBSlNPNWxO6BldtNjcrS21gCw7VM mdQHcJbr7XCl/wOMZdT/vbnsY+A2ZzbQ5/LDyn93tdaaPYGcAWxusz0A8zRx OHcl2g/umvaFx9KHYrLVqw0rff6QyD8ewp/1Ahs6HKz7QjAAkqq8MpKcXmGR yXuqZS4HgirzSr+5WiR2jjPrBJYQBLK8tqpLZ2MwOt/jX8yHg2FO+26caGI8 VrLQcpQkFgqTWZpZ948mYTdtbAqC7Z7BDHeSfzPrO0yyjaQgnhoGgXuWkh4I p2Ivc7jlLsi+hPEb0JOVm4GdFklLm3YOh9RvPrkRR7Kwxw3xu7+aRcCJ03uy JgayMRVV+RdW0a8g3ipMV9MkH+NcIDbLqL0GY3b91O2RAmzmQxXrUt9rkHld vf9oQBGWwnc+6JlgJGQ5Zv0+wV6GPWiNqTMvj4QuRz+NxIUvmHngbwapy1GQ 94hLOW6yAtu16uVbkRANjkVzGuX/VWOT2eVVwZoxYHaXXfjmwa9YjQPjtulw DIxV9Vl7mtVgd3si786JxUGGEu/g3Lc6zPT5UElZdRwsJxzZfsfbgCmckl0N sIsHPi7u01I3G7GxwlIvkdS38CpFNIyi1YRdePPTzVg2CaKntD4+P96ByRtI ZQo1JsERIrOoKHcnxsJ4c3LCORkanr4SZSB1YrZfqPnILAVoNwTclyu6Mb79 EQqW0e9gSKlVqTm1D2MILDLCJt5Bj8bmU53P/Rj5d/9NabX3kKBc5OyGBrDm WIlP5L73cP6X1rn11UHMj6VwX6hgGphV6LZEWf/GDui9CinwTINOisVoJ8sf rCvQY3qwMQ1upvvoH6r4g0kzyn9SuPMBwp7/sbSW/4s1UNIUerrSIXZhVFTp 5ATmceJpOGV/BtByn+/l4JrE9jywI8v6ZYCpiV6I2vgk5vpPpODe4Y8Q3lPI FhI/je1ajj4q9jwTnnls+eVpzGPFR25Hn/2bCZWrtm6h8guYjafputexLDix J+ZyvxQJy53n/FI3lQU7XtrHroaTsYtTISfcTmdD/vUsI6WMJSx26L5uMfUz 3D/yZofaqXXspLBV2vClXPBdE7p3ZXQdm7FWY2LJyYXBh1Ytw/7/MNG5e9dz DuWBeXTNHfrmDczDVVWG7lce1GcfVlj02ca4HXI/flAvgO4VyrMtSXrk9FTU 6phDAeRsWDteDaRHFe9fsLaHF4Dy7QqGrSl65PDnhtu/iQLg7JL3mitkQMU2 cvIGUYUw9TtqrsJyB7K0epdLXiyCFP8dsqnDzIg0aMb2XqgYBoVimw8bsaAg GxZHU91iOO5l9KO/kgUVXvcQKokshoxdiut+yayIw10z8IFaCQxOyLBperOj ev8B652PSkEx+f2uEiNOdIXpRXHph1LoR7xGmm2caClYe7drWykwdCV1LO/b jcRfZNQ3i5UBj6vPQ9NPu9HDmNuKr2rKIHniuPh8GRdSyubaKcxSDu8E7qR/ JvGg7wr111oVy2FWr0dZTIMXXcu/W/HYqhzCFH1/Sz3lRS9KRjz/ZJUD3S9l mZk9fGiqOmcw3agC5vxt+d0N+FFSr37+kTeVYHP69WWPlj2IneZ3RU8UQeFN zWP8IIpiXS1s5M8g+M4kd5EQJ4qke+SvcbkjyPH9vmC3Ioq0MvuuD1YhGEzS XFv+JIa+ZEYXlypUg5Qpu/dahDiaN52rNGirBqaxk2tJvJLo0seYZsJ/NTBK EwvvvCiDEq76GzpJ1IAmY062VKgMGuW+1Wp5tAZsNkQkEJJBHo902jWv1oDo +nWerkOyKPTifBdzTg0Qq+qUXf7bh6q2dX6+NayFU+YnfS79lEMyFxamasPq QHd8ne3gJ3kk5Kt3zPldHSSInE5kJ8uj3TkpYWyldWA0UKalc/QQ2mQxVbgw Wgf9Xr9j8qsPoY7qUsKwej0sX5FeiRlUQPcV/aj/xuvhz8FvEViEImrj5OVV 0G6Em3R3VErWlJBPmwbErnwHC0E/w/ST6ohDoXj8O0sTfPv+ZzrnhjpKe6H4 fEu4CayYVHIGotRRp+G+AZvTTdBbORCcOKOODjbzEmSimyDlaH1Zb5QGGmkk pReoNcPXEWtF+uVjSO/rB47W+y3Qa3zele2bJhIo4hqmp2+HJ8IJGV7zJ1HJ qG5L+4ku+PVs955vTvqoxi1xr9VcDzxK2tllMG2CVmU1OXNu9UGu9HneiZOX EMPGp917ZX7Cj0Vs4rSlNVKlXSsx/fwLrFNVc8au2KKWAJW2hgMjcPDZo4Ay DXskFjG7kbnwG4L7+u9Isjii2fWR4V7FUZA1zpDM+OCM0mYqmjhe/oVG/WJJ wVtuiEMkgzQ2NgaSVz5KN7HfQs9di51SpCfgXOjvG3utPNCa9qcxF99JGG42 dArv8kREpboi/topKFPz3Ev3zQs5qYinvPo2Be0DXLF/m72QperDsF1tU6Dd OFdY1+6Fjh9TsWcYmILgDuM63z4vxKCTxrmwMAUr2WTpgQkvFH4hwK1eaBoo GwmdAkzeKMvzlDjRexr2XFKxqwRvNPK5LqxTYgZfn0Ngl+ONOuZ3zCntmwHH sSKWyDxvVC1/2jBSfgbMhC5r1xV6o5Ss+l0WajPA8ZNjTbjcG9mnN7z4ZTgD YU+DbHMbvNFE4rfwSZ8Z2PmWbGIx4o3mn7e8obTOgH2zAFsOBwENN+9aseme gbyziRVhXATUxmZkVt0/A3cyRKqceQnoc0gr79O/MzCT6ZctIERAngFtUSwb M5DFICdtIUNAKw86YnikZ8F1QKPI9DgBbbn1vN1/fxbOzZ9213QkIDPVq68U fGfhUamoVJwzAWXTTwQpB8zCxbUx1yVXArKJXffSfDkLnWW5WYnuBPS1Xujs hfezkPskYfKHDwEFi9ut3G3CryeSartDCYjnx7zhN6E5yPx7smvpEwHdfHdH p1VsDhQyXaNpOQRUd5Om1iU9BxFm3gOseQR0h5FL6pfCHLyrWRzgLyKgAUWV DZLOHJTV2hRzVxJQctj9DwI35kBIYvDqq2YCOniSmepUMQcXN1/3p08RUF7W p3391XNQx6SYHzxDQCq8Jhf0G+ag13UywHGOgE5MxqYd7JwDC5Uze/eQCcj4 xQED8sQciN+9tmy5TkDeA0ax97jnoTGWv/MsExGt6Sx9nRGYh+q/KvwbO4no QXb07GWReVDQszNKZyGiAN8RLS25eWjZXxu+zk5E0TJe4wxa8xAXu3HpNjcR ffGKVHruOg+E7t7bQ6JEpDWofoXiPg8PStYSr4gTUc2poUB34jzcE+bO65cg oiYB2QET33k41XIpolGaiH5VlfryRc0DhzafypMDRETHNtiSVD0PelndqVeO EpHeewnnfIEFsLeWVUZniUgllkO2QXgBLjj17PqmT0TiL7fGfkoswPdm8wNt 54ho816v/Q75BeBJLTncZUhEORdCbSy0F4CLUezKFxMi4qFfvERxWYCRuRUa oyX+vPUhXm73BfBR9V37jXturqlblrAAbjs/y1dYEVFDf9oFk0cLoDrPbOF8 mYju5Vkapb5agIv+WolJNkQ0Ylt9Sr98AYIONGAhDkTUcimH0QYtQNjfiUgN RyIqM4iv8a5bAMskyJjE/VqNqJ3QtgA36/p9jzsT0WlOuROk0QUYvP1666sr ESkx8W0xTi3AqL/55ytuRCS6RV++Zx4/f3D87QrufxODajrrC9CahckK3ySi T1i4chQ7Cfg959f03YkotujhUuZu3LJvH7ThDshyzcf4SGCf0K9h4kFENtG6 h6fESEB9R7A38CQiLvf1A8dV8HGBG9fEvYmIen1s+rwGCXYTunJe4p6x6vzo oEWCiVNIeRN33elPsi/PksD7e8HUNwIR+YjYSv65QoKp9YXlU7eJyN5E0fyX HQk+/Isxfovb+Cn9sz4n/H6J77YXcMtOpy62epKg+Pzjiy/vEBG38G2Z77dJ kDIuuzmAm2J8xqruPgnSFAZXJH2IqKdoqro8gAR3vwr+zcZdPfllpTiUBEF6 vj/mcX8SCpPLf0kClY10Yfm7ROT/5FBERiwJ5hW3UlJwuxdSa98n4u/3kWXk B26rifb1xPckuKQQ78F2j4gUDb1tI7NJcFKSJ8QVt7Cv7pvwfHxc7Q9nFG7m At7GZyUkkMqkm6nCvTQ2vhlYQQLhSCf+MdzDAqUKftUk8GlmiWK+j8f3uRD7 h/X4fAaGHOVwFz+yivZpIoEk9VfIGdwpeQeavNtJ8PMIlWKH+/nfLcqtHhI0 Sh6rv4/7Ln/rEdcBEsipPhuOwH1dP8nRYRj/fiFT+mm4jR96xNn+JYHT7Hnm YtzHcrVbradIMDldwV+LW3aUi958ngQKdXJ323Bz8f1VubBEgiyvNwf7cG/r FbkYrpMgI2VDcQj31P3ABL1tEpwpsQr5jXvG/KDLOzoyhLcVHPmD+xqZh0GM kQzWlTsOjeD+Ebr9NoGJDLasJvd/4jaQGj8qxEIGlbUowW7c1ZWt7TFsZNC7 38/2HbeqeYkr339k+KUrZFyJO5uUxPiGkwzCZTZ/s3FLhgYn7uYmA20psyke d6ykp9pLXjJYNdLtCMLNUWnZyS5Ahm7MJdwdd8ClkzdCBclAEpy6aYZ7Y2E/ E7MwGbbbAxPUcLuHcCcHiJJBNFxfdA/uMYktdQYJMuhXHl9axderw6zlJkWG DAFBHRGZuM8sFO18IEcGT9/gy764K4MTU/4dwOeXFHX3Iu6Mcvee5cNkGBie zCTj8SNsZuHupYSb+wxWgfv1PLCQVMhwI+KwTADux+JcJ2Y0yMDi9HtmF+6V Lxu9zifIkBzYqN+Kx6ub6ajHuBYZ/jy6t/UM96WgwtTfumTIvBZoQcXjX37u EnufERnSyy1X6vB8KTMzRM9MyGBz+L8oF9y6VToELVMycNzg282K2/rl4cEP lmQ4zxkfpU0kolBF1k/E62QQUN/4E4rnK28czUbOiQz9+5oseXGn0K9x/3Ih g7fqZtZbL/z+XaP3dd3x+QnuHk3B68EEsfIc9z0yaLLfTsYLN/IeKqDWP8C/ t0j86totPD9PZxbce0yGqWoXOUfcvALRQn+ekiEkvVxaHa9Hul88ZnJfkoH7 tcejMryepVAknxmlkeFzp+EvSbw+yjsJatFnkGGU6z2v/XUiKm3jXCrKJMPH tCX5JHsiakvethLOJUPci4fUXXb4807+2D/7hQz/BvfL11/F3zco9HtIOxmG 17vnks3x+S74PjrRRYZCnk7dnEtE5GVx5wi5B4+/I/y+pWZEFCJ3Pc7iJxk8 WnJSay4SUUnTCVfZcTIQnmM5hcb4fsBJZqnbJANqX/+P/gwRdVU9C9ankIHf EdzJp/D1vSmzs51Ghos/pEWHdPF61WTN+HPHIkwOrd36fBJ3YD2FxLEIDJFi PxQ1iWj3VvzSXqlFOF9zkKNYmYh2TZ7+RTBYhMqRFs8qfH9sifptvWG0CJo9 RQ4WInj+n3ow8NhkERIb2QsX9hIR+/u8H6GXFqHZ79U1PkEiYru6tzPZdhH2 vSGz6vIQEUs3ub6ZsAhtTBSSGDMR7UBvc6USFuHnLRp1FN//f544dXYkaRHU P06NMc4SUG753O/4d4sw/JsTSUwTkHWJJjd3xiJI8gdcNBsnoPycESJdwSK4 5cszRw3h/U+C1LGhxkWwYt1QDmwloLJ7n+qilxeh201KSQbvb16um169uLYI hgnmw+MfCej67e3V/zYWoS6Y+iY1nYA4vIz2BVIXITzjjSj/ewJydCGFEliX gOevVX1fLAFxWyifNxFbAtrRDLq2QAK6oVIxwGqwBMdNxOLDrhJQdUdvdpnR EjCLaR/YsiYgvltkX2eTJfBdtVl3tiQg9EFGtv7SEgSMNRhomOL9l0CE95Nr S6CRXr1cfpaAKjYc2NdvL4G5yMH1Y8oExI44NMdSlkAzI+yz8k4C+qRvn4Kt LcHCA9McjTRvpCIvoQUbS5DQVLuu+s4bYRy/B9HWElju2vOfUhLe73ZfFfhK twz7fLLfSsR6o5WrVi9r2ZbhkpOT7USYN9LyNnn4TXQZWnL2HGMm4OfHa1l2 nVkGTGZEMhvvn1dnhXZPRC9DA1LvLezyQsWmeoyRp1ZA4lxPX2azJ/I9G5hc NLECjQVC2aNeHkhi6Fx/auAqlGwdjh3efwsdUwuIFFRagwHj0Yq4EDd0RbR9 g757DVZP3TJ9uumMVptejHr6rcOYjtNzPVlHFLvDhnhR+h/sZkrx43xij3iG i98z1P2D8opYhrg/tojpkZ+ZhtcGDPban+nzt0Z0mTa5o9ybUDKoKn6q5hLy js99wV2zCYbfKFty2yao6mAIC5f7FuTEWZzeCNJHXOe85f05tqEx1FbnaaIO SvnKyX6MaxseSz7XQ346SFEjZ3qRZxsirsl943DSQcZyU+l2gtsw0cVmOaWg g57ttJE4Kb0Nu4B6J+jrSbSjVp+f7tg2SBVylxFntNHacQm6x47b0KNYJRce rYV+Herovle5DeziZzqUItVR8izXI0a0DZkWbwfaXNWRfaap7Iuv27Bfz/1m OKijaem+uykN2/CJnWD4eFYNre0dFmns2IYiHr9antNqiIttzpl3fBv6GPm+ StGOojMTzNuf/6MA/fuQRaZwZcSapv9BfTcF/NN0rLVdlVGLXZhxDTcFoOGH YIquMjId4njXK0CB3yS7gvZ/SuhaD9+ZbQkK6MdE/iA5KKEHNVIR+qoUeMBx XUD91BGUlwTSYzYUSMZW3di1FNDy/WVmOzsKuAiImCpTDiFVi4zZoesU2G/4 Zy218hCq4OQs7HOhwG4phkDbE4dQw5Phk83eFAj2mTihDfJo0P6RbUEQBdjP 3nn76eIBtHNfRfyTzxTwrnunopkni/QZPR5T8ijQ2Tu15X9XFj0fkbS/X0gB IVXrJq6Tsogr9tl+YhkFYsXU77N1yyBhVusy5xoK5OxIZnXZlEZKs/96jX9Q wCPNyr7LXApdzVXlEqFSIKCo/ZzRGXFUYv2Po4OOCkEXpaIqecQRx87yXU8Z qXA2eEckQ60Yqr6iyTLNQgWRZZ4Evm1RJMl2ilbEQ4Ucke/nj90RQRMOF+YN 91NhvtXvo9szIaS1m2eWdpAKFs7/CHOHhVBMRc9UgQIVtP20EwV+CKKz3JZj e1SosCfG7Y2rtCDKQjaDY1pU0LnyPvvfNwHkLnTz+0MzKrRrWPGnH+FDDfWH Gg9bUKGvvc/58x9eJOZFqhu1osL4S47pq695UUejd/VZWyrETtZ056/yIKXb 90p53ahACs4Lk6vjRuvtQR+yfakQQVirlXuyGz0JfOf3K4sKHvJ1tynjLOg/ H+ZzdjlUqFR6G0rnw4LiXW5xT+RS4bjGySIhVhZUaKCRSiqiwtW5GZ/Xisxo gquzjgFRQUhE8pH/cyZkkETHsr+bCpQgoaoVHwbUH+7UkdNLBZ+BCz4KQgzI wa8lVqmfCteeMIn6VNGjxw6x+08MUSGSb3FUiZke5R1QNDg/SYUbWcKuwcY0 jL/U9uXtLSrsl88xeKS0iaV+rDffpFBBUVBU+njsBqYYf1DMl44GN+5suTLQ bWD6j9ZzQ5ho8CQk/3FG7zr2UDe88y0nDWaeJHtKxq1irEdX48S5aRBn9uQB A+cqFi172f4DLw2sPNnnR4JWsFzWfcufBWlgc0Q17vnDZWy0HeOtkaKB5b/k sce+i5jHV+mhM7I0+MwKQsJMi9h2wbMPzXI0yFLl08t8Tsb4os1Vew/RgO76 fMEeXRJ29sqCxZQaDQqfHnd9WjeL5UyJvOUwpEHLdN+464NxLCQx8NqwMQ0G z6fpJ+aMYQ4X52U+X6BBDa/AK7Oxv5hwZWWekQUNtD8bhB21HcWehV9ueG5P A5ljzOm8vCOY06nasCuONOiIDbIxQkOYzsaBC/IuNHj4Sp9VivAL27DfHGy+ RYOrpanHb6wMYC6qcYts92jwZshbv+lyL3Zqlq705wMafI1L99U714OJpbg8 zHpMA5cq4+AJ7W7sB6s687kAGuwi7us4c6YTK8CSWwSDaTB6ZTV53KwDe0lg fj0dSoNN8lB+zY827PTQD+HQcHx8Vv+pkW0zJv5aa9TyNQ0cla2PRZd/x7bP pGfIRdGg9bugI6PMN6wo77bSt3gaKJtf/pktW49FOA6txyTi8+Pb6IupqsVu CJ2uck6hQe+HwsQd12swyQDes8zpNGjcLmG+lY8wqvrD//o+0mDvYxG50xeq sIH5v13pn2jwbhNzqdxVgUVYFF49k0+DCN9RG/beEuzmrr1S/EU0OHrjBlH0 TxF29qv/1HgJDdy0X+/XYy7EaAcuEgIracBV8tHdQTsX+znyRf0SogGHxGCe knQ2VhIpQZWuwddHZSQOU8/EXuuH1q7U0eBxRy2r8KN0zJ1KDqlrpMF8AKuJ BTkVO1doaRzZRIN0w4I04qt3mIxLNY9DKw3+nCCLj2BJGJ2I3IByBw0kj3P5 EwvisV+d4UmM3TTwbMt/dm8rGisLWr/e3UsD0dPy1h9j3mCRx233p/bTYGok kjU1IALzJDcseA/i8cp6LW7UNwwz+KBQpDOMWzr/3NaLIEzWOvoe9x8a3FK9 xS+t4I8xcFK1Rv/SoCBA+u754ofYcK3jjoIJfD00XidsCd3Byu+2fvebpgFk 6hg+fOKJRR86Gn5hjgamgtOrOnnOmNdogpkEiQYpRwgH7GSvYYYxO4QWF2mg R/tSkB5khskZ3hypXqHBTuJhy8hwPWwHfU9axDqeD5m1JhpMatjv4uNu1zZp YPbmRQJzrThW6ZZ6WJFCAxHDb9NtLetVMWLsqzQaDf7/f97/ADgkcFg= "]]}, "Charting`Private`Tag$7620#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwt2Xk0Vd/bAHBDylBkjhQyhCSVaJCnDJUhJbMyq1CZVVJJoVSGzIV7ZCpR ZIx0tlnIkAwh9JV5uPcime7wO+9a719nfdY5++yzn72fvZ+1jrST54XLbCws LK2sLCz/dzW4PPm9auqy1sm/lJnVyPnPG3TEvYbFdOG12hrXStN2/CCWlFIk ZgY5VJemvfd08FEJ2eBb8nZQaq+Ws+GDDW7Y2luYKuYCGdinRt9j13DZ5zuy mJJuoNcq7MiWewunGTgnOsp7wPZScVWO+If4dEhXnWOCN/iJXznddvAZbumy /CVGzA+S9/qKaE/H4HU64mW1KTdh9wwp6LrhS1xV5njBX8kA4PP8srDhShqe wuaQI5cRCKLDN88PVmbinCMP0y3k74ORXCI5rSAHr/jd2Vpr9gC4dTdEmZzO x73OuxhcSggGqQkbT+PaQly+aqnhb+9DiOTLZSwcKcUH9z3WiRALgYK7HXny 3BV4HLatSu5iKLhEXku/qI7jBnzvNPGUMJCN5nP0c6jGWYKOlVsMPQat5zoc G3tq8VLyt0MUyXAoSI+48O9uA37dzq7wseNTOMf6zMrYognf1UZRkcp4Bl3L m69tcf6GR74XUDCRjwSbjgefzkR8x/V2ZGZOXY0C7j8fpOKdf+D3G15trTaL hn3Da95u5t24mrpyhHXCC/h0TYFiHtGH85H9WuQ0YoBveWS/ZtcAPp31hWuh Nwa0jlwbO3V4CE8TPhf2VCwOZE+67M3I+w8PbE2ss6iIA6+LxU8CeP7gFqG/ 2WQuxkNkitL+VwGj+OYl76DPKQnQ0Pwu6nLIBD6RV/Hl8fFEOJW1S81Zegqv cWGnmQ4lQibSFTdpm8Zvd8XdnpV8CWiSMphkRcZNnw+Wfqp6CfWiE1skt1Nx FV35pRDHV7D30maNQwLz+GhRmfeOjGQQX/Fn9xVbxE1i+92N5UkQUKVTwRe5 jCsbyuSIN5Kg49y5ql9VKzgn+/WJ8asY2KD+Gm/aKm5fzviIzNIgsUC4dV8k DRdWjFaxSngNrjZg8pWXFbGFFp/Fx1/DjTdN+8S/sSLq75/XZTXSIUg0Po4z kg21JEnnUnvT4cnRjq4uyQ0omLNod7hYJsRwvtPsD9yElE6/eFLolQnmfJY8 vD6cqDPUc2qgMRNcqzcETtzgQrLsyrkqN7NgMfTZ+pubPKiBnqnS1ZkNMnLH h6Vb+ZCn5qMouuIbeCnNwZJxeyvaFuhIlQ9+A93xZsIZW/iR28qOwoB9byHq 4sbBgBMCaPNiwiHJ5zmgzy3G2tskhEr2+yec+ZMDq/e3f/rgK4zsvEyXvY++ A7ECPpPnUiIof46vvG7yHeyp89N0eSSKLkw+0XTXywOlazlHO2+Io6TBOzol jA+QqKv9gHpNCp2UsM4cMs+HL5WyZm/6pNC0jQYH5/t8oKiJCC6dkUY7ZwOc 3+8tgET5sgpr5V3I001djuVXASz0b/lyeaMsEnDJf5t1uBBYWIoCbnAqoCuP dlofdSmEVO68Cb5oBfQ5PYKrPaoQVn7+NLEWU0Qu/11zXxkvBCWxKx9HVZVQ iZ2CsmF8EcyeN5X656uMrKxf51PniyGzhS3ZPksVUQbMuNPFS4Dtsuz4gXlV FGbHedlUpwTuFnScrTu+HxU5e4qXxpXAU72Tb3f17Ue8HsdDAzVKIeRL3/fu bQdR/cM+m433ykBGxSrbvPIQusQRUVKWVQZpPcLWe4XU0cLjE1vd2sqgp7k4 o/G6OpKKeFPfIvkJVoRnOPSkNNDdRH/VFzWfIFhiK8Mt+jA6kMe/UYKzAu5u kyXFxB9DTSr1Dq2qFTD/8afwx9VjyOHj7c/3rSuAd92ZGm+niSJKh73+e1cB h1Zjc4uUjqPJqvcD2Wc/g8axRUW9b1qI1K3/cX9sJdiLddJuip9EPMzgS6d3 IjAUHC/ratNFSW6WdsqnEKDUxIOwWQ/Jdik78HsgaJIx/M1joIe0cnqdB74g mOs6J/qtQQ+V5ySUlKlUAadzy9pU3Sk0ZzpbadhWBbnBOjPvfpxB5m8TW3y3 1MB7b2OlwmNnUYrtQ6Mr0jVw/4r96UehZ9GIwI1Wq0M1MLnjv4hP7WeR5z3t 9uO2NcAsO9187rIxCr8w17npfQ0Y3ku5dCD+HPpC0+5PNqqFNRuzHVPsJkjO hDxZ+6wO4v21bzinmCLxoNNHr76uA4/yCwZ6LaZo6/u0Z9xldaBSKtDrtGaK 1jhNVUxG6oAJiwIm1maoo6rMd+hwPVgjj/g1MXN0RzWYsTJWDxTnB/6h2Rao jU9ISOVEIwQY2ybFzFqjW21HIOlvE1g7xBkEJDggXpWSsSbOZuh5fnSPdZED yoxQfb4u0Qy7bUMOmXY4oO9Gu/vs9Jph6tDWunhuR7SnRchXLqEZhLoOFZo9 cETDjZTsQo0W8BrVX//k5YROV2fxtt75BhwWeTcFLrsg0WL+IVbWdpjUZy96 neyKLj1fNxsVaQf67yX+5WpXlO4y1tKg3A6+Lj0J7pOuSFm4vPyZVTvc+13K mnfIDWnfdIgXLmgHeb6Do4nf3ZB6imV23L4OMGx3ovDxXUOOdtm2b4c6QNk/ 6ptd2g1UOqLzrV2zEyJ03diTI7xRjXvqduvZLnjH3/CmOvYWWpI/zvf+Ri/A 4KNnL6fuIbbV3K3b5fph75Z1uyuVD5E606HU9MMvGBookRMMD0PfQtTaGpSG YSLiq3qF31MkGT2zmkP+DfcOpZYv9UeimeXhoW7VEXh4i+tXw8MXKHP6czNv 5B8w2FO4slQdi3h3vKGMjo7CgZTbbc0T8ei5W8mVNNlxaGXJDyjpSET/TuSO ugZNwInAtoCyLy+R34G6YpHaSWg2NW/eZpuMrqhJpb34Ogmd5TtDip2TkZX6 3Web2yaBNf+ku5F7Mjp2VM2JrW8SZOsuf/S6lYzYtDP5yORJeGiuMvr0RTKK MglxrxefAhWD2Lfs9cnonZeulJ/PFPBGctotKaSg4Q91z75LT8MDlpcjpqMp qGNuw+yB3dPwavROcutUCqpS1jOKU54Gn3h5AR1KCkp7V7/ZUmMarOLfqkqv pSCn7IaIX0bTIMFlsJrDl4rGU79GTdyahhcKJUszR1LR3PNvsfTWaUjhif0h 8ywVDbVs/mv3YxrGHPPd+aNTURv3WbOqn9OQm80SvBaXij48aRV69Gcash4O yCBSKvIKaYvnXJ2G8glWPoHCVPQ3sCNRUHYGqprYx371pqJ1965kxTszRD1F 0ViTJCEzddsXKkEzEG26L5tLloTyWMfDDobMgNzcoxUhBRKyS1r2Ph45A8LZ 23QlVUmoul78jEk60V6VbsJ2goQeSzn+vd08A88t7sqx2pOQYM+c0VfxWajl dPz58yUJXX99U7tVchaabg0YO6WSUN11pkan7Cw43rgePJFGQjfZ+WV+qcyC x/e9ImNvSKhPVW2Vok3cJzEH80pICHt2J0v02iwcEaZP3eggoT0nNzGufJ4F 43pFiw9sGCp4l7v7Z9UsKG6pCJ/jwJCa0HkT/YZZELWUf7GbC0OaE0mZe77P gldFtMhzPgwZRygZUsdnYe/q5j4RCQz59J1NChCYg0JODZUDahj6p71QPS06 B08M3bbs1MBQYF7CzMUdc+Aqafl+w1EMhQQNa2kpzMHY2B+lGsBQgpz3GJvW HJDD3tLpBhgq94478NxtDh4LVvPddsCQ1sDhS3SPObCEolt8zhiq0R0M9fCb g9jVU1GvL2OoWVS+73zQHBzWNmsqccfQry9lQcLxc2CbHnyW5IchFu6Bb6Sq OXhLaa7yeIyh0+nSVz+KksHW+pDwphxivEm88g0SZLjFv/lw5zsMSUWuj/ZL k0HzWmZaUh6G1gK6nTYokyF2/OMJ0QIMvTcJt7M8QYb89arcgVIMCbLOm9Nd yfCShf7hQS3R3/KgkIAHGRY8tkwx6zA0O9v8Q96XDKE+q/Z3GjDU8DPT5Pw9 MkTtdGZzbMJQQIHV2YwXZBD/3c6z1IahYfsqXf0KMjQa/vuq0Yehb+bv2e0Q GaR4VxPd+zH0yfBVjU8dGfDpyJSkAQzFaPidSGkjw793/brjgxjS41PQpIyQ YfqhxKYzIxg6wCG8zj5JBmFqzy2zPxjauc5asW2ODCy6EtsvjWJoZXxAQ3uZ DGUPR5YvjWMoF486GM9DATP2JRa5aQwlFd9dyNlKAeeRGBr3DDF/79w+4sIU WJnYrjBL2C5BZ9+kJAXEkvAtaXMY4vdYVjqmRoHQOCOeNiqGGM6jU+eOUOCz ptb9iHkMTVt/f+uiRYEGttGdZxYwVKeXKx95hgL+j89NfljE0K0d9rv+u0QB LHd7vPY/DDmdV7X45UiBjqzYOz8JGz9ifdp7hQJhPRsq3ZYxJD+VMd/qRYGP FiIX7q9gSEDCX67JnwLb913KZl3FEN34lHXdHQqInh83f0C4q3iyqiKEAsr7 ZRo81zBUNVH+tyScAn+xx2G/CeeKP1P4GEmBzuLY10brGHr4YG/0myQKmI6K TIjQMORRxKhNT6WAUbchvz9h6/H25dR0CuwSy4xvI6xq5GMfl0eMh2GQ50vH kESQTmzURwo8x5y1EOFNhUKNT0spgGIOKm1kYGhhdGwt9DPxvVkZnmcID4mW qQRXUYBFkcQbRrjZ4InT3XoKHPrHuwkRLrlnnXCrmQJktz9Wi4TTCpSafdop 8OMK9wYZJoae/1mn3+gi2pv7cRoTvi3Sut+tjwLiuwSv+BF21idddhmiwJmT /RIJhI3ver60/0OBo7m4chHho/knWm0mKbB3qDS+hbD8CD+rxRwF1gcrLIcJ 8wv/UTNZoACnWp0PmTDtdLGr0TIFLCmt4yuEJ++EppymUeBBZlcRg/C0xR7X 1yxUqLjR08ck7EAVZJNkp8LAdKcVjXBPOC05hYMKZ0+2qP4lbCgzdkickwq7 JGocJwhXVba2J3JTgZb7eaabsLpFqZvwFiqIvfnShgjnUUjssXxUMNFv584i vCv8cepWASpsNVvFQgkn7fLSiBSiwjneU5GOhHkrrb7ziFIhQbe6+zDhEPOT 18LFqLB25vZNHsKrZEWOTRJU4FoM8Ooj4uvxRAAL2UmFXqynNp3wqPT6YTZp KkzvT/O6SrjD7Nt1uhwV5PY09YwQ83uKXLwxUIEKNxZMo18SrnycmraiRAV5 +/QMQ8JvKjy6FvdRoTljvvc1sV4kzCw9vA9Q4eRGpVU9wjFzwElRI56Xifcb I9bffSl+zekjVFCzeXRHhPDf8tXuq5pUWN5twPGWWK/upiOeY1pUMBBtmVYj bB5WlPFbhwoBt2MbThDrXXnWnKf3LBXYZCrrpYh8+WRmhJ6ep4Jp6LcbD4h8 0vmi7atlSoVyx1asfwlDNpH7BrKsqDA5+zr9/l8Mhaty5fo5U4E9V3hPKJG/ Qi+ZdgpXqOAaKq5UTuR3Gus/gV+uVHh2TL9kgkK8v3Pkjo4HFa60uHqrkTE0 7ldpIBBAhd8dHE+fE/uJz2Ahoz6QCsWqaYtxU0R+6uUUBtynwmUu2dnESeL9 ogni/z2iQlml57MIYj/SKfeczo+kgq7byUgNYj9Lo+96ejaTiL/t2obHP4nx XRHTYn1DBUUH56jDvRgqa+NbKM6hwlH/hvzRbgy1YTRriXwq+JIfFyv/IPo7 2aM4U060F/v6K7CVGG9YeNOTdiqISz6XE60mvpccdE+zkwozm66Z+CAMeVve 3E/tosKdVVeJr18w9ETB+aVlPxUCk01jnCswVNqs6SY/RgWOxgtbbYqI84CP ylm3RoXMA6oUvUwMdX55+lifToWCYyION9KJ+b0ut7GdSQXu1xl7otOI/arZ hr1/wzz4zat1N6YQDq2nU3jnIcqdJ4QZh6Gt668WtsvMA13m6mh0CIY2T+j9 8jWch9JtMdgJ4nz8Fv/bZvXsPHR6ln7qsiXyXzew7/75eZA64KfjchFDPOkF PeHm89B9k+WjvwWGuG23f8fs50FHJJrdyQhDnD+o9S2+87D1yE49R+K83oCS 82VS5uHTP/V7LNwY6tfUPTNMmgeFsQCtuo0Yyq+Y/f3q9TwEzjY2PmQn4ld6 XEDgzTyoaqVrUGkk9PH9sB9L4Txkjz8reE4h6p8UmaODjfNgbvphX+sPEvoU kFuXsDgPlfxzfDeTSChy2dT2wr95uDRy1yc+joSc/WlLW1bn4XFVW1N+NAnx ep/dHcqYh3ORPy51PyGhy66UcF+uBbhh8hRGb5OQgOXBc+clF4AcftpSwIqE rql97uMyXAArhuz+zwIkVNXRnffp7AKoV+8xNeElIeEb1KCr5xdgwO5IywgX CaEsOfl68wWIUBWuW2Yh6i/RaJ8HDgswJ/Bn0zQ5FX1edeFZ9l8A4x5ui/mm VMSDeI+Ppi3AzWp7i8S7qShX3ykN/7cAvvImSW+7UpCasrQWrC7AedsfBcHt KQjn/T2A1hfg6dbIXZbNRL37w1a0mmURBhtcti2jFPTX1jqylnsRvrcP3uXJ TUFaPufvft25CGM/f2c/fkA8/0rLqvPUIiTr27ztI+rnpRnxreMJi8C5Vr5P 3zMZlZieZo/T/Qut+oHS2wpfoqAzoVjx+F9w8HcIcxxLRNKDBj8zQpfg7iSc JbEkoKMaIXFiB/7BrZrQ67Y/Y9Glne2rrD/+wR2lUwxywwu01Bwx4hW8DPT6 cwcyuKNQ0gY7vwuyKxB81NBceuQpEhwqSWerW4HvJCmlZ+QwxHEv2OyI9yoc ZGmvtfr1ELHk2OWPCKyBXiF5JjX7PvJ5lR8hULMG2UmULaz5t9CXPU84+T3W YVbbqco90xupd4m2xnitg/v0ILod5Y0K7r55IeS7Dmrt8t9i7nij9NYG8W23 10Hh06DIzHlv9MSTY6/kw3U4ZkKpV2Z4oQtFD032JqxDmpoZ27KNF5o4eu+V Pr4Oisl7DH2PeSB+Ax/lh7w0KEr9PrAS7YbSqvl4jvLToJHj0IuT7m5I9cj7 qXlBGjS4Vq280XFDxgqT2Y5iNJjlOENp/eeKnm60kz4pSwPbUyNz9+1c0YZa fRGWozR4FKuafvvgVfTvmDTL/cs0EBwTTvmz6IJCi/ChQ640OBKb1jzV4YKE 9lz6MudOg+sWg9t4P7igg+KJd2y9aEDzDd/50dUFea1sXtIMpMFLxm0Bx2Fn NFW8MrUeTYP3HC8i3Tud0K+9HT8CKmnQkvMVU213QNgM/z12RAMT6WmOrYUO yCnHVD6imgbBu8MGueId0JRs7+20Bhoc65r7Y3TRAf3bPrSjsYMG5c7MSqlO e8TPPXtVaIwGp+YzRsQF7dCp8U20D1vocDff16Km0gZxZepnHd5Kh7yMhpyd 4Tbom+Mz4xoBOhjelBvLN7dBpoO8r7tF6VBtfZ7Pm2KNHLqET9Gk6RCf/x+P h5w1CqyRidZXp8P4gWJ1k2RLVEAC2VE7OnDbJaXkfTBDi3cWNzk60uHXg4vn Qh6aIXXLNzODznRgb++LjrQwQ5/5+Ip6XekAnm0fjzJNUcODoZMtPnRQqvjE Pn/BFA043bMvDKODX3zp1U72C2jj7s+vHnygQxtpQDFa5BzSZ/e8Ty+gg0Zg VmhnszF6PrzL6U4RHVjZf7TdDjJG/ElPFf0+0cHaP3yFOnUWSXDZfLpaQwdT FjODyFojdGBmpdu4hw6DLOcdvMMNkG2+Ov8OBh12e71Y8rU/hUptVng7WBhA eWM5/Fn8FOLdWLH5ETsD7vM/1bjVo4eqLh3nnOJkgNygfe/pc3poF7cus1iQ AYZCJdrGp3TRuIvJnJEiAyYUNhn162sjra2CM8w9DFCv2dNwdrM2SvzcNVmo wgCGe+POg+0n0RkBq9Ftagz4vk+afsHiJHqH7AZGtRiQP7fbetTtBPIQv950 14wBu3quFVw1Oo4a6vc27rNkAFuNrqHnsCaS9KbUjVgzID7m9LiFrybqaPSp OmPPgCynIeH61GPogH9AmZA7Aw7GyLOJ0I+g5fawrLwgBpRWy7cajamjB6Gv g3+9Y8CJiJ+PV633oy23Nhk4vmfATx7upeEt+9Er1xsC4/lE/4p/5h/UqKIi wyMZlGIGYKZm7vN7VdE4//c6NsSA2IVreZu2qyBDEgun4g8GPPrQ8uDckCL6 GXWl4303A3ry631lbBWRS/C3pAM/GWBMeXvYaVAB3XdJUtQcZMD5V6eddozs RgVKqobnJhjA0RQ55k+TQyJl9pH+6wyYX2sc4/DbhTLe1lus0Yn264I2e7l2 IdVXeySDWJgQLfRGpwiTRvr3lvOfcDDhUqAKV2+HFLqrE/U9mY8JvS+OPWkJ 24m4Di29lBJgwvHW7NKOhh0oQf6iU5YQE9426YaFcO1A+Vy7Fz+IMUGxbdWH mrAdjbTjQjUyTPCmWdLTv29DntWyg6fkmVBNmeofl9+GaIVPs1oUmKB32jK4 6b4oEk6wUO/ey4T2ytoyJ3URdOYS2XJSgwkJmyy43tYJoveTO5J5jZjQWBBa u1bKi56khjoMGTMhWVlZzTZ+C3K5MCf3wYQJvmsC4lMBm5FEZWXBWUsm8N7z CbI350ZPoy42PHdiAvV1egnZbCO6olv77NJlJsSk/P1Y78yBtFeVTJRdmaBc broUdnsDWnVaG2i5wQTXHJ3+rCI25Kr+cp47gAmvaYtBxUMMXHeGpaw/kAmC 03QrQWs6LpnmevfdfSa4fWCmFg2t4z1chzcZhDCh25LmeZVnFS/EsW9ij5lw YI7zsknhMh7puylmKpwJvw43Rii6/MP1BnskwqOYkGR0RMhochGXitEasYph wskE7WXXigWcdir7jUI8EzwmNvOKJc7jxQX+B76+YoLzv8uxGcNkfFeI0JlN 2UxYrYoZL9WYwBmH727pfcsE7oqLFxKDxvC+uT+d2blM8PLJW1vu/4NHWxbZ nvrIhJSetWqDlt/49c3bZUSKiXgV1JcGoyH8TPXDybFSJuw4LTF5b8svnKl0 wTe0kgkfPsbyPBPpxfuHyw+bIybINBVbP+rowkvjpBmyNUzQJSW3Wr/vxGP0 w2v/1jFh91Grz/55HbgHg/qkrpEJxryXWr1fteIGRVbGcc1MCLu9V42xoxmX c60SdGllQtuIhuOxkQacZYdC38EOJoRuUJJqGKvFf32PIrH/YMLVvV7Syrur 8U9hy84/upnws+nq4W79L3jcMXvFjJ9MiFy75tNX8Qn3ojaQfQaY4N867CNI KsYNs1SKtYeYUHXraCQHtQCXt0kIEPiPCesrMVdYbXJxNj6G1sgfJnTJC+7T TM/Ch2ovbygcZ0LhzbAej4I0vOJ2a1PwFBOezFw55LechCfsPRRlMssE24/9 uNzSC9x7JMVMmsKE/ZLywo+ePsGNEjeIz88zYcxPHA/WDcIVjK4PV/0l7kuU fXnA8MY3sHZlRi8zYft8LEdJuiP+u+SYu8MaEwwvdHJENOjjle4Z+1TpRPzq t5756rQLT5TkWWIyifXw//8v/wcTezJ+ "]]}, "Charting`Private`Tag$7620#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12Xk4Vd33AHClECEyN8iQIkklGmRVJPNLpvSaZ8msMpUMGUslCS8pYyqR MdNZZkUoEZEhU+Z7Scl07+98//j9dZ/P8+xnr7PXXmvvc58jYu120W4jAwPD 1w0MDP/71bCb+Fw9aafEdiA32DCGq3KTspD7oKAKPEz0ljTSPEUcTU1ILhQ0 AN5KlpJOmjUxulM86IaEOeiqjV0+/82X0GztLkgRtIUrijlOvRBFiN/dlUkX doJvuy87fy2OJ9Y0bJ5YSbgC49VQ/qya58RUaGe9VbwHLNnMCf8YzSGMbZeq YgW94YaUQ3YH9S1RryxUWpd8HTzVjS22TJYSsmKn8xeFfcFs1SHm9zhBJG+0 zNmb7g+VTu/iqvzqCJbh4DQjiVtg8OvQU33O90T5UEdrncFtiDPvLRo/1kq4 69pqmMYHwRrLxR4H38+ERPXvxsXuYGCRO7rCmdlJ9B8KV74nGApb673SO4V7 iLhUgeq9/96B2Rc+h4On+wgNzpeKRHIY+BeaPR/bNEQwBJ4qMxoIh/fyUdF7 lYaJkrmPxyjCkbBi59umnDZKXDU3Lwi3ioIpU62U5cM/CdE2isye9GgoFL57 aGl2kojJ5d6vJxEDijKpGVazFOL8royMSYf7EGn3ZoExcZ641Zi0rcbgAbyx ae0uuviLkJOXvmcS/xAePehLOc++RHDOebfsVYgF9nxf1RyOZWIqs2rLQncs cO+0Sfbcv0o84/0nLEowDgxSNjuJZtEJ/9Yn9UblcZDw0bBIcfMGNLoztFHs 38dwS1atkE1lI2797RFYkRwPqW8T+5d/bsKfr8urwk8/AfNDOa/VtZmw1pZx TX/gCXzv8jN5iszo0xnnMyOcCLy3dLvetLCi/t3+knfVicDxp2z3Y7utKKMi 8TvUKglEBq21urZy4Ghhqceu9P8gsujKw56abaj3qPeKjsRTeBByKtM5igel NcVyhJqeQpzz75/v7/EiC+PVn+MOqbCzdEOPYAIfWpTR3qLBM2AICY8srhFA XskHMpfin4NFT374M6dduPFOkTYx/hyMwoJ3OmXuRupQz1VxhTSI/VFMN5sQ xpYEkVfU7jQ45SI5unBWBINYCvdFCmaAWVFgBOsWcZS68DCiwD0DfjKKyfd8 EceOO26TfU0ZYFrL+eZv2l4UZ5R+JXM9E6JN9Y1BZx82rmfIdHZkgVn1gOjp b1Lophhyf10yG76/YFZebTyAAv5WVImgbEhyjJTcWyaNTn93FfgeegG7VBJy ml7K4NZf8ceE7+bAUWvGQ81Wh7H48LV4tZEceMbatH5r6jCau+sveZx8CcUC p697XzuCebOcZfUTL+GXjZWtROxRvDgRoXjl/GvYWx584f34MUzo91Mupr2B tKaP5Sy0k3h2p0nGgGEe5G21OW/06hROXVbYzJKbB5J22t//XFbE3TO+NrkH 82Ftm7zTsZrT6OYkv5fhez6MDRglDhucQW7bvBeZxwvA8+LpY6zXldE+ZLfJ SdsC8AjvORw+qIwVafe2tN8vgEI+v55jGipo+8P5yt/xAuAaYtglJXYei833 S2s+LoT6iFq1gBFVvGTyPI86XwQQ+I752FMNpPQZsKYJFYMnfUz/Hbcmhpmz 2OkrF4O1EYWqFaGJhTZuQiVxxZC0pvPu1XUt5HA9fcdfoQRGlDxQw1IHG4K/ XWa6WQrO9jfyi47q4ZHXXEw7WcrBlWP41uYMQ/wg02DZKlsOI1vU02sohmj5 1qfilkk5lJfxbGdXNMJ7JYPuP16WQ2a0fuHFr0Y4UZ3bl6VdARoxSbypXJfw aZf628OPKkE/5RHVJf0ystGDTC/sRjgzcnK5UsgSE5yMzaVVEdrCz1v1qlmi eKe0JZcrgsyGI/vO3LBEpZxum74qBPUsuTNjnZZYlhNfXCpTDcpRLV8SHlnh rP5MpWZbNVx0cdyHu23Q8MWTFi/2WtjZ62L17ao9JpsFa9mL1MJxGb3uUxn2 OMzt0nrpWC38G+/mNNVnj243z7WfNquFD2fPmEtrOWDkxdkO5txacNCUoKrK OmLV2rne/7TqYMzpCNsC0xXcqzc3URddD9wx+3rX5lxQKPDCSYfn9XDoWFfa i2OuuC33WTRraT1wOlunFQS44gqLvozecD30SMdM/mBzw0/VpV4DxxsgduUJ iwm/O/rJBtH+jjXASO2Sxm5lD2zj5OGROdMEUrL5LlvRC+tOu9h9NmwChvoL 5i4TXvjOubHE27kJ3rq+WaJzeWN6k49JRXwTPJroulZu540+gf1P1WabIG4H doZxXkNRSpakTdJ7kPDJz4+5eh1vtJ2AhMUPMNh++POYli9yyBSPfWBphlXV AEMPX1/MuCd7d3VnM4yIFoNUli9+1tr3zfx8M9TXjYaIM/jhgRYer73xzdAc muKnWOKHg02UrAKFFtBuXPBhPhCAF2oyOVr9PoLPbC6Tp0Ig8hdxDWzY0A4D J4ePG1OC0fTuqsEoXzu4L3smDbKHYJrtWEujdDvseOCfGyodgtK8ZWXRl9ph 60jR5r1XQvDcdcvHvPntMPt1sxaOh6B8snFW3KFPEOnw3NlyLBStzLPMXgx8 go2GwR9D/oZhybDyx3bFDnjxpu/FwxvR+FUtaP7ehQ7gatE73ZgcjX/eEHxa FzvA6ndcG39tNCr4n7B679ABb24s/+Jiv4vvth/6Ux3bATctH6dYZ9zFMhWh PQUTHZDAVd1yo+ceVmZRveLivoDvuQ67MwceYO2VlB0mM51QesFbS7wrFn9L nObMdemGGwMSqdmOCbhx+dW2HXt7QeJfg+R4vVSUp1uW6L/5Dr/98rUnz6bj x1C5tkapQUgc5izT4MtG4QfTyzlzQ2DVLxZaHPwKp5cGB7pkhyHy41OGq+15 mDFV0cwRMwJb7A3CpS8UIMeubMro6CiMVvWpCiQU4V2nYvtn4uPAtpJ/MiK/ BP+ceTXqGPgT6n5v73rU9Q69j9QX8dVNgImOmyT/y3K0l9vz7OH7CcjapbMp /m05XpIPiN7aNgE+8iLft5WV46mTctYbv02AkUiw90pTOW48l8E5NzcBaSJP x5LHyvG+XuiVBqFJ2KNrWL5jTwW+dFfZ4+05CfL9v7gnH1bg4Jv66M8iUxDu WtHE7FiJn2Y3zRzZNwWdOv95artWYrX0ea046SlIzfD1ivGuxGcvG7YaK0xB VXSm88agSrTOarz3XWsKKkWMx94mVuJ4yvv7P29MwY2ehiDp5kqcvfvx0Xrr FKzvm5oM2FeFAy1bF82/TEED/9TIvoNV2MaqbVDdMwXMIaF9rUeq8E1EK0/I yBScZGYvY1WqQvfQtscsy1Pw4l746AWDKlz0//Rku/g0BO42r2oNrMLVK53/ SfpNQ2VTNvV3RxUayJs9lAmchkvy5kmZ3VX4esN42NHQafjvBzVN93sVmics eZyOmQbKboEPCWNVWNMgpKaXNg0PFj7JzS9VYfgeq0Wf5mloXGObrt5B4Pav s1rvhWag+8CN0+0WBF59fv1cqzBpvviTP20IrL9KV+gQnwFvh3CzFQcCrzNy iX2XmYEMZeDgdifwm6zcMuXcDND6N84y3SYwNdovk995BrhOH5ffnErggbPM NPuKGUheauBS/0Zg/stX+3qqZ6CKOOjA3k+gHI+unnrjDCwlara1DBGo+DMh 48DnGTi8279ZfoJAnXtSmtTxGdBl3aje8IdAz2/aCb7cs/BSqaq3lhvxz7mF min+Wchhp/ju40P0fx0//e+uWbB+accZJogYGjiopLR/FoY6XvAd3oMYv9dj bKPSLNTjdyelg4hlHnFH7jrNAg+LRJOcKqJS33HTdddZMO25zXFcHbFWpf+O q/cscAjFHD2mhdjML/FNN3AW1s5u4Np1EfF7VWkg7+NZCMgrnU8zQ2Rg7fv4 tHoWVtX8+cO8EC+kiTi85Z8D5Xd5f58lIcolcEg07pyD9xylT0uTEffErI72 isxBYvWH9++fIq74dllvkp6DcK/EzN40xFy9SHPjM3NwKHznlcqXiNs3zBuu O84B0cPjeKOMjLfUz8PtOgeXB+9NH6tAnJlp/iLhNQeGr5TG5yoRG3sy9HRv zoFAro2SbjWib/4l7fSHc/BAYaP9p0bEQYtqFfVycnzF1bWGDsSPhrmM5kg+ 3+Ct5wc6Ed9pJtV61s+BrvuFwuguxFgF7zPJbXNgrZYrdKoH8TznfkXK8Bwc 1pCcNOpHPLKZd5VxYg7eDZ0avT+AuHt1Q7nA7BxQPmRcqBtE/Dvep3BuaQ68 pK6fFxxGfEXcP/qYjQL6rCGcweOICUUBCznbKBD2Ih1ifpL799LpLcFLgQ00 3c64CUTzeOVDE8IUcGxOlHw4hcjluiR1So4C++gWPqpziDSb0cl/TlDg+bRe zV4K4pTJ5xe2ShTImEtxppOuP/9KIkaNAkufu4efzyPe2GUh+sOUAuVtlhfT FxGtdWWNvltRQFf7qNTF34g6IRuiuu0pwFHYkbBKWmIyfb7VnULWs8MJpSVE 7p3X9n64RgGtI31Xukmv66ia1PtRYM9WviPOfxE7iyaqy0PJ+O6/bwcvI1b/ LFssjqSAxtB+FqYVcv1C0fvfxlDgRNlZ8VDSwbcPPshOoID3QxMh91VE10Ja XVoKBbQ3Lv/qJ20y3r6UkkaBQiSsVNcQZbU8LeJeU4BlP98y0zrizkDlR/ff UoC500TUgjRzAU9TVAkFhtr2Db4lvTA6tnKnggJP4s0P0UkP8JfKBFVTIKBv gPsCjaxvjQjrgAYKnLkdHRlJuvimSfyNZgowJqk/aiT9LF+q2bOdAubuDLI0 0ndHVtddOingcjPRQpaO6MPXetjpGwXGXRhEzUjbqD+1sx2gAI+I2I1Q0joB bokWIxSYfjFvnkX6ZN6Z1ssTFNikYf6tlrTEMNcGo1kKVPqbjX8jzcU7Iqe3 QAH+ibE706TXLhQ5ai1RYNSZWrpEesLvTvKFNQpk8/kE0EhPGR1wfM5AhSIp vy900pbU7RuFGakgvOtP5Srpr5Fr/yVvpkLV49njC6Q1xcaOCbFQQc7N9sII 6erK1vYnrFQYKLGcaCMtb1TixMtO+vXUjmLSrylPGR9xUmFb/dbhx6RFI8NT tnFTgTnty0kP0gmi7goxPFTYJKwjcYE0R+Wlz2z8VFg8fy+Dn3So4VnnSEEq 2BtkFA+T+Vuek9zMvJMKvuUvTF6Qdo3gTg3dTYVBoYIHjqRHRVaPbxShwgeN 3stipD8ZfLy6vpcKQleWX0SQ+6c6V8Tkv58Ks3SZg0dJV4anPPsrRYX1twzn e8j6yC537fx1iAoeQ+yy3KR3Ghi7ehwhx8clMmaT9RQ7CywUOSpkdlk5y5O+ tYdLceoEFe48tPyrQtbjYtlyl4MiFea//N1VT9bvFf1htzElKizJPuw5Tdow rDB9SJkK/VMp7CJkvUvPGLJ1a1NBcyn9ZhbZL+8MtDBKlwoy75avTZP9pVx1 zktJnwqfT5/dJkX6csyhvsxLVDh1XlA6bgExUnbLK28bKvxpqGbbSfYrTyLd fL89FQzmrXfLkP39bMMf7u+OVNBnOvj1xCw5f8ewn7IrFS6HsSsoTSOOe1dq cPtSgbDwbVkhzxPP/gJagz8VzkkiT+8Y2Z/ncwp8b1EhL02cuXCUnJ8/XuhH CBUejoVM6pHnkXKZ21ReDBXo8m+LlMnz7Nm6aJR2BhUcEh5Rlj6T67MXVNqQ TYWwZO3tnp8QS9s4F4pyqBBgZDI11obYlrpmsjOPCs3X/i0ubyHjnf0qOV1G xk9w7BRoINcbFvkhop0K19atp7NLyOedC7yp2EGFT/PS6VVFiB7G1w9TO6mg 1uazo7UAMWK/TaJxL5mfyxp6394gljQrOkmMUSHjkMNMVhZ5H3BSWepXqOT/ +xaC/zFiR1VUuPo6ub/hLdHzseT+Xt3L1E4n95dn8HfDA/K8ar7M2LtpHt5o 9WaY3yV9p2GdwjEPW4e+hv8TgrhtNWlhh9g8qDt/lZd1R9z68/x3L815oNo1 6C+eJ++Hx0OXl7XnYd9MxisxZbL/Vfy/3dKdB9mQ5BrtM4hsaflfIw3nQUE3 TDr2JCKr2Y7PqRbk+MoU4e8yiCxfqA0tXvNg/Sb37jXyvt6E/+WJJc9DMEfo 7aYfBPYqqqgNPp0H4+CAYKYBAvPKZ4aSns+DqWdYBPQSeLnkNDd39jwMGIm9 SO0g8G3uoDdDwf/mc3cSqCPQPFnsZH/TPNxjEEuZTSPwne+r+vhf8yCk/jBN zpzAmCV9s4t/5iFZ/M9EqQmBNtfWfrMvk/GlnL2OGRLI4aG97w5tHm5oKZkJ axFo50iJ9NqyAJ8EpWvfnCCQ2/joP7rCC6Cgz9ZUtZ1AZ7mKb1s0F2DdjWnp dV0VVn/qev1OewEEzASuPSaqkNeFGuiguwCaLA5FPmVViJl7JRoMF6BkROH2 obwq3M7/wPO25QLMfX1y3zypCiuWbdmWri2A86LH63q3KmRDjtOjzxbAjOHD P7V8VfhK3foZ8WcBxHJ82fmMKlFOWkQJlhdgqC6TWVa3EgmOoT5cXQC1HyWb VDXI990vZvw1DL9gY/LqNnulSlw0M4mpY/0F/0pFFV2XqEQlT92A97t/Qcu6 1ZnvvyvwU5LSpQ7VX0DTu+7/gXx//j0ttG08/he8DtgQWkaUY7H+BcY4lUWo VR6zin7/DgPV7qQWjS/CcPOjadumEhTp1+hJv/MbhlSD0kQKi/CkQmic4JE/ EHfZOXWHRQGa7m5f3vDlD3R01mctyeTj7+Z7w+5BS9BQM9h/qfAVJmwy974o /hcCT9yT7gvOxu0DxWkb6/9C5a5ng4Xp6bj5ZpDBCY9l8FE3Ed19LxUZcszz hrlXYCRnls2JOxE9k/LucdeuQHOBypXcmVgsXUsKr61fgS5Jv2eOX2NxzTws yLNpBXSibnofqY7FcDGzax0fV0Bzx+bl+UexmPya1Sy2ewV+GF8L36MYiw2E nTT37Ao8X2U4qnj/IQqM7GjhElgFLoWEG25nHmDVgQgWLtdVYE0SjbBLiUb5 Tv7WWPdVcAnfnJHjF435AdkPebxWIT92K53pUjSmtTYKCfiswn9P+hzYt0dj hNvmg8LBqyDVPFKiFhWFFwuD9Q7Gr0LcXFLB9ZuR+PPkzSR1YhX2bMurTLge jlwantLBHGtQftColaswBJ/VcLKd5FoD2HOKQzQuBGVP5E7Ob1+DRFWXOp1r IaizfyLLSnANxgfFXNcVQjCKyVzkrPga3FhqX35DBOOmOnU+hpNrEB7kb2/6 OQj/nBJhuGW3BgvFMiM5bLfxTiExcMxxDWxWT9R7DQUizwHTqtkra7AypPe2 OScQjwo98TNzXwOWUEaeXacD0f3v1t+K/muQspzNfdH+Fk4W/Z1cfbAGWSzn XGdrA/D7wU9ffCvX4OMZ0VdOGb6YOs11kxHXADvCvK7d8EXrHH2JezVrwJ5R sytPwxcnxbt9njWuwbeOiJ5X8z74Z8fArqZPa7B4akDqw1kf5GKdceAZW4OK 3SfO3Jm6jqrjzGtv2NfhCqP81Ydm3rglQz3z+LZ1YN+/6dBJeW/8aBWtU8u9 Dt/OujVzcHqjfj/H8y7+dXgVo6V2qsYLLTt5VddE1mFW7m506j4v9K8Ve6Au vw6mP9MDw9Y8MP8piI+ar4Oo4dLh/Ltu+MvvF7OV1TronPtIY9NwQ3nj7Ol+ m3WwVVlkesfshhWcnIXdjuuQXT2jzhDqio23B862eK6DatG0sM5tF+yzvmlR ELYOvjXqKnXhzsi0ryLp9pt1GC89YSX/2QHVGd1ureevQ8N/xeqmCQ54d1DU 2q9wHVoaft5ss3BAroQoSe9367Ba8Vn7CcUed265/M6hdh02n9x3sJTbHo9M /+3S+boOtQ9K9vA62KJZnjzXLto6ZFKYkq9fsMKSy385PjHQYEbg6P3R7VbI wVS+NYSRBsFPLUayhyyx2vQ0yyQLDYJoQjtk/C1RlFWFXrSdBotvDCKdHC1w 3FZvVkuSBlEBObf4rpqi0rbt0/QDNMi7FWsWwGmKTyo6JwpkaLBlKsMvovBf VOO+NCogR4Mj1XuMYtcv40s07xtVokGFjzLFNtEEXYWufggwoIG/3BO9DxQj bGw42HTImAYuuRpJnilGKOxBqR82oUHNwv7uKk0j/NTkWa1mQQNqS6/oiZeG eOSabynPFRoc831WX+FqgEvtYZmvA2mwcJd3pZT3It6+8zzo+0vS3J0eiYWa yH6DWcMqlwbm1WFFdUqamOTowj2eR4NLRmuSK80aWKh5Ip1SRIPrf1p3R42r 4zjX5/qNSIOqzU90D0ipoeZTBhbJL2R+Kg0Ydo6oYM99+0+5XTQ4Y0Lv772l grZBHxOO9NCgK3DyXeoOFbxlmyCp2E+DjPe83ScuKWO+lKzmPz9p8Kl+sSqj /yzylVrEXFulAdO5Wsnlw0qY/qLBaGWdBvm9TP3dkadRNumAcCADHdQmJZqL RxRR/eZSXsRmOngqFW24mnIKA5Tvf/6Pkw5hfnS7l/tP4HA7wVMrRodrrFF3 clPk0K1GvF9Vgg7tDDUCgrxyuFYQldmynw4sXdd7r8UcRd54I/mug3SIG7Dl o4cdQTXTOeMJBTrgmWPrcvdlMXdi138cWnQ48bD7XMwfSYxIuWM5oEMHfcU8 qgyrJNpenN37Ro8O4gfesgWI7sedlZX52sZ0sBpuHGG3ksCo+/823rWmQ4tq j9FrXjG0V6mLNrWjQwxr605tHVE8tyylJ+1Ihy1inpSAaBFctl7pa3GhA33G Std3+x50lE+cZ/Ul4x1IGuouEEKVaYbSXn86iD4+bi94VRCFnzkGvLxFh8OC af8clhHAr1uOM2uE0sEk6P7Vio+8WECkfhQMp0Pa1wgHgRwejPFijp2MpEM4 VVxbJGY7nu//ujPyPh12/8hMYfHkwj2xSsOXYukg6GW11Oa+DddUs7L3P6aD 0Eu93aJUDizKv3bkfRIdFNhq7bKBDUVDedSYs+jQRPi73c3chLTjAezdL+jw 8yiHX80+Rvw2O9KR9YoOB2S3L9LLNuAD40Iz1bd0sNESceXbSSOubt0hxldE Bx1XhQSh1FVCrSZ4YqyEDg+GCl2Zzi4TdKmLXncq6cAX7GVyfmiR6B0sO26I dLjYoDI3/n2BKIkToYnXkus1UXm+dYlKxKpH1i3W06Fvvupepukc4UqjRtQ3 0UHv7XeX55umCY3CSzpxzWT+KBPvZcd+Ensdq7fbttLh2HHTT87ro8T3z/ef Mn6hw72JzyFb0gaJd2FLNl+66JDof/ZrMk8fEXfKQjK9hw6cj4NSZOe+Eu7U xjnPPjowu2jsvSz9hdDMlCk6N0AHrTuso1sS2wmJy/G+3D/IfPXu4e978oHY yElTGh6hQ12vgIn8P/XEQJ3dpoJxOoRurBiz8ECi3Kf1Q9AkHYz7xPuTk0qJ +IPH7uvN0OHFS/w4zPqW8BhONhChkP1gHBpabZ1NaD3ZJDQ/T4eEb9JyZrMp xH6tq4PVi3RwC7oSYKPzkNi0oTPjwRJZvzxWAtXsQcRQ8akrlit08P4qdTqO 14movJJ+SHadzP9jIcPtrOeIJ8Jsv+l0Ovz/99T/A8rbna0= "]]}, "Charting`Private`Tag$7620#3"]}}, {}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"\!\(\*SubscriptBox[\(E\), \(c\)]\)", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {-0.11803397776696967`, 1.0388911952929902`*^-13}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=0.5", "U=1"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.771208520121052*^9, 3.7712085847780857`*^9}, 3.771209649069304*^9}, CellLabel->"Out[19]=",ExpressionUUID->"8fa879dd-0c88-476d-be23-26d0455a8cc8"] }, Open ]], Cell[BoxData[""], "Input", CellChangeTimes->{{3.7713444163314133`*^9, 3.7713444368750753`*^9}},ExpressionUUID->"bde5b5a1-664f-4792-98d8-\ 71c368e1a3a2"] }, Closed]], Cell[CellGroupData[{ Cell["Large-U limit of the correlation part", "Subsubsection", CellChangeTimes->{{3.77120862490454*^9, 3.771208627505728*^9}, { 3.771208728290947*^9, 3.7712087410467873`*^9}},ExpressionUUID->"b006a78f-5c2a-4a56-8ed5-\ 681ac1bd5cea"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"F", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], "+", RowBox[{"2", "t", " ", SqrtBox[ RowBox[{ SubscriptBox["n", "1"], RowBox[{"(", RowBox[{"2", "-", SubscriptBox["n", "1"]}], ")"}]}]]}], "-", RowBox[{ FractionBox["U", "4"], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"2", "-", SubscriptBox["n", "1"]}], ")"}], "2"]}], ")"}]}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"5", ",", "10", ",", "20"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{"-", FractionBox["U", "2"]}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", RowBox[{"Abs", "[", RowBox[{ SubscriptBox["n", "1"], "-", "1"}], "]"}]}], ")"}], "2"]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"5", ",", "10", ",", "20"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.771208499299416*^9, 3.771208583003454*^9}, { 3.771208750652349*^9, 3.771208799922451*^9}}, CellLabel->"In[17]:=",ExpressionUUID->"dfff4665-dc22-4fa9-a94f-99a2ce1ada81"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, -1.0776619596697401`*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}}], LineBox[CompressedData[" 1:eJwV1Hk4VlsXAPAThVRmDa4GJaVRKlRuS3NChYrcyJShL7MGiigzSZJcU0Ih GTJPtczdzIlmKoQM7zkkvOdF3+6v8/yevfbaa+2z95Yzd9A7x0dR1JJZFPXn +z7XMLTEJRko6o3SnX5zlOffkL7p0iOgxPIuXp9zDmunkze1tT4GSi2m96Go DTqo37w9rZgCVMuVie8fbXDxVTNGwfuPf61JT7NF28mlOW6bU4H6Khn0Qvd/ OP9n5PblIWlAMcflNzfYY/6Wi5GHu4m/eqon5jqgiaP+hNPOJ0AlZF0/fswR s4ZFi6v7if9TXJMETqjXH6B+/sBToDQcV6dud8GoDvd9+TOZQK34tSjt8mXc I3s6ufNkFsnPv4pP6AoOGKnOEcogDltipRh9BZcNuVlkbMwGSv2WcU+VGzrY qqymPhNXn1q7eOM1lLDMSn2klgOUn42IbboXGp5+mMWM5AG17qbcPF8/pD+d EE6UyQdqfO/Gkm4/9DMROqe/jzg0Pkl1nz/mWjjIFEQQv7i/J352AIrY/+17 VbUAqJLqQ0vvBGLNjQ9GAh6FQBn948ltCUHlp+ICskIlQEV2DNiM38FXm2pM G5WIM/mtUDkcTZ9dKfU8TexiccvTIRxvFXxx/PaE+OdFAdWBcOwvz/j0WKcU qDj5pDs9dzG+XfPZlrtlQJmu2fZr6B7O++195tAyBGr9WF2GdjRG2RqYbDhI fM6NrygiGuXbNpiK2xMHPK9d0xGNu9PeWXx6Tvzg8gI1hxgsTovML9xUDpSz nqpsVCwO6w+VaTURf7b9MjEVjydT79e7LKgEL4N5C8PmJmKs8Q1tKzlijb/W /tyaiF0Sdo2G2yuB8jE5HmiSiA4ee5v/NibjtV6DR/MSMVBvuFUwgzi4+gaY J+Hzqb0fY7SrgMq2ait8mYyrdTn9VcHV4KU4VChWnIIy1w/ttH5YDZTqpu6Z 4RQUy0gIFi4kXiRpq7gqFVkh/U26XSR+2abgraGp2FJe6NKpVgPU6RF9Wes0 dFfynpn8Thw4b9ce+XRsEpWS2qTxEry+P5L9Vp+Jl5t2QNTYK9AoW3rjpE0u imzK//5KqA4oQ/dR6YBcTL6lFMKTrQONpI5KJiUXX2uv+WByoA68psdu/urL xfX1Ui6rI+sgIe1JwC7bPPzykn6co1oPGq8uJxQ75uOhikcije4NUM6X1uJx txAX5Yl3zprVDKZhyr+XrS3DMyG8Ez0Lm+Hrxe1vM3TLMNHye33thmYo74bY f66W4Qbp4uJgw2agtqT/lGwuw72XTO9JZzfDis51VROXn6NKrMHjiM0tYJrU cCW4+QWamTw2Tu1sAaZUvoyuK8eCrn0NzeqtsOJ/ZhlBWIWV5+P+Oj3UBivW ly8Zgzr8pfC3aIbdOwjzaFFWD29BPm662F+rP4JG4J4e2Yo2VPltWqCf+RnW /ogINZH4gA0+25pq132Bw5Gh6vWZHbg8bJCbxvkK6ijzNDHkGw5OfOlsV+qC sFiZE877ejB5oLROJLQbGrYV2wVb9aHI0hS6p6cHTgiK6Lk8GcAQ23yrBPle sPS7X/3t8zCOa6T32Fzvgysyiq5fyxh0Va7OW1jVD/lqg++S3UfxS2Z18Gu5 AWjZo1H40HoMeefbYhTdB6FWaERioc44rt8jOGNVOgRz3f4nJSQwidlP0te8 Lx+CwIBGY80Fk7hN6riuZu0QdGk3rQiQmkT1vqjk9a+H4IjT6h/TKyfx6K11 WkzvEIS1th1/BZPo/EEnyk1iGEy05M62X5nEYqcI5RDbYbiX/1eBdf8k7v6k dmbafhh27srR0KAnsXJ/h6+96zDIqGGE1Pgk1i1S+HD8+jC8zTfXz+bn4ufn hdel7w2DaWutUs4yLlLCnxriy4fhs7O/f5M+Fw8lylk/W8Qh/QdZNRVzcVuU iEKtLAeGlIZlbyMXV4Tyej7KceDSyMs4zRousm7t5rM3cEDiVtX99BYuZugG mhhocODmNWfPFX1clJw1cnLahgOpy+e350mwSE10SEnYcyDES3Nm9mIWh4bq 3ii4cODUDTspnaUs1r5P1j3uwYF1P2Pdqtew6JZtqJN0hwO9i/+T1VZn8cvZ 8v2aJRwYLSqojLFgseFkBr8JcuA394WLoQ2LRVrRlc7VHHh//4i7sB2L4aqu GrFNHLBp31Khc4nFA6Jr1ekuDlTn6gVpBbCoPEeax9/PAZ/KrL0ZISwu480q WTzMASPZHY/57rA42ftJde8EBypr3G/6/8ti+ovbW+/No6HpSfa30TQWo/Ku jaaJ0aCzsfHgYAaLPk9sn72QpmH3gqSz7c9YNInct7l/OQ2GMapRHsUsittP rNu1jYZWmwadhf+xOGPR8+PYDhrOdzXdiKhnceD061TL3TRYCavJ8TWzWH0g XSH0MA2R0UrGT9pZvLz07MpvZ2h4ON+9b3UXi+bHlU59NqMhatePYcHvLB69 OSvonRUNlbLNAe/6WFT4kTTS6EjDfxX7tu8eZlFC9uLqVxdpcLU/lthGszh9 9ODpancajB4I/2MwymJbXn95iQ8NxfGalismWCzvKx7LD6TB2f+CqBWX9C8T vPZZKA2Z696WRvJYvOG1MSwliobghJrWwt8s2ufOVCXG0aARFxebMouHp3ub J+ISaTBZ3qbgzc9DJW3nsxFPaXi0/19NRoCHstf33b39jIb3dcY6vkI8FMyR ehlUQIPZjGs/nzAPR3u+s76lNLipHXprM4+HnYsKN3mX0yDWINJeMJ+HdUcC zK/V0DB3YvnjoQU8zPc4HXm5jgaFm0oiwqI8TMheV+fcTEPf2fh2ETEehnTz pu3aaAhwzvuPJb6ysHGL7QcaBFuHChvFeWihGX/OspOGnQmbr/hL8PDoNYd/ z3bToPRsQfcaSR7uzNJoNOqnoUZl/G0msUKX+KxTwzSEZVmpykrxUFy6e5vu KA161lLDDsRTh/JstCdo+PeHSG8acb+7b+yhKRpGv3yUriMeOLXe5iHFwEfa 52ILsSkjybecn4Fj2k/5nxO/DZyKiZ3DwO1mn+rbxFqrvm+XEWLgfkRLxWHi 8rLG5vvCDJivey3cT+pROVVgK72AgWtxSnl2xE/peP67ogxI53W9+0D6WRno HycmwUDM25mIDcRRKx1VQ6UYCFW7K2pF+hcpM3w9bxEDRQNOjn5kf3xO7vlf 4BIG6sIme26R/eRyFOcIyjLQ6PUm/poID+0DJB74LGNgyZLnb/TI/vfI8dT4 5BgIkd35XIz8n5YTDRemVzOQLKv7aP9cHh7k5AlcXcvAiRm7NaWCPCzzj0uY XMeAoXGEpQw5Dykl9m0/NzNgevDs1gg+cj5OGNg7KTMQkF3xTxbFw/BhEKK3 MRAhtOpC3gyLnivE1Qd2kH5pwZseLItjxdx2a3UGLshtXr93ksXz+l0O33eT /Hs3zIz8YvGkX27S130MeKxPtJcaYXHD0Ml573QYyNLT8LPrJe/HCW0MOs5A pU/6x5PdLO57vtdltz4DO7+XF6/9yqJR6OZPjwwZWBbPl3P7A4uBSnPTXS0Y yB7Z4WVH7m+va9kRCTcG9jXuDS9NZ9G5I2em5ioDv3pj291SyH07kJbj5slA t80W67VJLEotipT5dpOBpbU3MwyiyXrFDgNZoQykPEoYFyDvU8L0yiCdZAZY SZl3PaakXqslu2elMBA7x9Dg1T8sFjaJjualMXB6W8yJxFMsNj2YOi2bxcC2 8G8JytpkvT1vFQeLGbAoHlNtVSH1+wW+CmhmoLxt5pKqMIuSooxQNcvA3uY9 TNETLrY+D/LXnGbA7+al7uFkLoZfWC3Q/JuBFwOSa5Y+4KJEnRH/x9kjoG3h xD1/l9i3ZpoWGQH17HjF2qtcFONFj/61agSkLbQvhWhxcX7fgc8uWiMwLjaW 2943ibMxJmtV7AjkLu0ucFw4if/bVvphrtYoUPHjGoYq45iuaZ7wYnwUfOOy Iim9Mfw1KCPWG/kTiop8i4puj2K+/iH+iP1jUGKUZwrPGLx+2PdBXu8YrFhy wNZ2FgflOo68T/L9BZucbI1lWwdwp6pPxBLlcQiZEnFZ79+HZ5Y1c2e9GQfq 7aCu3YMe/FV3q8vRewIC5hc6tD35hlGzTVz15Cch6oeSp7FyJ0p25ifyVU9C eVrvlRz/DzjHw/vEDicupLJ+cv09bUilmWR1SbDQ0ru/5A23BZ2js25JVLLw 1TO43tG4Dp+vDxASt+eB12+ctfJ9Faq0LWoMd+SBUu1Y1q2KKsy+lnJHyoUH 1JFnmgLpVZjYWCuz+AoPGP0Ve5Z5VmGAw5yNy2/w4Kv/Ec0f8lWol3tDd2Mk mV9jKDTkWol9Oz2iNV/wwFGO/8LjZRUofsR5ww2RKaCOyXJ5W55jQoXovJ3i U1C+6+3i+ULPUWlHxo8RySkwHfu3YmdnGR5d2//YbMkUaHydn/0zqAyDBEzk 9siT+FVv57d9L8XZVZoLqZ0kvnW73LGHJTi+S47yPEfyC11S2LK5CD9vbHnj VjYFXih+5tnjXHwwKO7Bj2Rc4PeCp365aJ6mr3CrguQ7fMqmwioXf8i/u5JQ S9aL4Uqrr8nF8b86l75sIQ5N03NKy0Fx4SFrqe8kn9MStU85z/Bgr+BU5oJp 8NozMH0qNwvnJms+UhObBqqxY/CXWxY2mAUfrZQglg5ZVqeRhfodIg/bFxHT HsckmjPRtE364JQcsahngxwnA69WrgrTVCH57FWC1FWeYnY8yPeYEKdebTfi pOJP95+CZmbEeon+D8pSUcUgZbDDgszX7z+6KDgVS0VFc9/ZELfPW5ywNhVr vTr31DuT+HvyzgutUvCTucfZHD/irUIr7g08QoE1pdFemSReb750y5Ik1OR3 8JzOJuO9WvmunEQM+bLS3D33T73cHdpViSgeFaToWkT8N7f/rl0iys41KrKu /NPftce+1Q9ReXCy/ejbP/O7WpirCWicpSK+dIaM/yfYky4XiwVGkyIt1AxQ rlS+6esYFBEomX+Tn7gzKDnEOwbLz/wt9EOIWHC8QrM7GlcK7/+dJ0l88PdK w6f/Yq+l7rC2IrHmr9AXJ+6jvcyFV9dOEMcdqHedCcfamo0vNxsQS25Tmi4L x+VOdHXXaeIxDOddDceWl87lh88SF0vLG/HuoPJFt0Kp88T9v1XifofhRLPf o6fXiY/aKpqph6KX70Pvz0+IVwYUGFv544LLgkfMMog3HBD0FvTHaBs7id4s 4vmKb+zT/DBXa0cSnUdcF3shjfbFXvHX1XxILCB1476vD2rFU0KKb/7031St /s4b39+2asloJ65u+8j18UZL74Yo5ffEu509rm/1Rk/LKEX1DuIGgY7ucC/M XqekdayP2Mdlq0yBJy4sPBt6kUcc9uKFl5w7JqXWnGKniYc8Yn7cc0Ol6PXL r1O/gSo3L+ic54aaHhNZAXOIy1r3X5i6jNf23X4dI0qsXlkrzFzEruYXUpWr iC2lrSk5Z3SokO84qEDc1hdEZTrhVE7Qo/q1xBd8svzUnVA68pRK+0Ziyn7j KhNHPHyGY9CvSry4vm65tR1m9C+NEdEmvgK82zrWGBDna9p5lNimxGzghhVa 6g2vztT949ERXuk5lC0ry9YxIFYyKfp7hyUabLeo/2ZG3HJuV26gGf4fRSdE ag== "]], LineBox[{{0.018527738344276564`, -0.00041773003312695067`}, { 0.019628681609693666`, -0.0004756134233865339}, { 0.019628681609693666`, -0.0004756134233865339}}], LineBox[{{1.9730157104597952`, -0.0009689507773460448}, { 1.9752885790904147`, -0.0007964286977211188}, { 1.97771928062301, -0.0006332386697170053}, { 1.978481016556227, -0.0005851913233574493}, { 1.9787348917843108`, -0.000569226280091628}}], LineBox[{{1.9878216550560006`, -0.00016158173214630978`}, { 1.9892207977123333`, -0.00012246897415714203`}, { 1.989537286670859, -0.00011439626714672443`}, { 1.9897035508114822`, -0.00011015535555269906`}}], LineBox[{{0.004330457838550809, -0.000014846056192396873`}, { 0.005417489561734625, -0.000025033090059523033`}}], LineBox[{{0.014153764658858663`, -0.00022737018734630965`}, { 0.014805055429162054`, -0.0002517715721639391}}], LineBox[{{0.03276828218404136, -0.0014909980158881453`}, { 0.03877345108030803, -0.0021617249938721272`}}], LineBox[{{0.0018348523391296006`, -2.114628926688358*^-6}, { 0.002498553563646729, -4.068215166519451*^-6}}], LineBox[{{0.02178799830232559, -0.0006010566950802598}, { 0.022614659439428423`, -0.0006558439288847928}, { 0.024392215195720882`, -0.0007736520106362832}}], LineBox[{{1.9802174233346599`, -0.0004840306099309272}, { 1.9808195907502975`, -0.00045155375610930976`}}], LineBox[{{1.9914196500123493`, -0.00007251247711881348}, { 1.9928298177828574`, -0.00004811141956492034}, { 1.9931356869355459`, -0.00004334729392674319}, { 1.9933221566670647`, -0.0000406716808871721}}], LineBox[{{0.02634958893945713, -0.0009189416682389151}, { 0.026844438154139595`, -0.0009585319036565408}, { 0.027669001512152964`, -0.00102450080184191}}], LineBox[{{0.01625108857998861, -0.0003110981792965951}, { 0.017175101510522775`, -0.0003521572669962225}, { 0.01725222814019493, -0.0003557330701013939}}], LineBox[{{1.9972084509362389`, -5.2882394366889156`*^-6}, { 1.9979406775092352`, -2.5714605200732876`*^-6}, { 1.9988593097021097`, -7.088262592358363*^-7}, { 1.9993113835822163`, -1.8646039900140092`*^-7}, { 1.9999999591836735`, -1.0776584069560613`*^-8}}], LineBox[{{0.010452116315053678`, -0.00011400153348795072`}, { 0.010872106510641771`, -0.00012510978067086496`}, { 0.011449102014118605`, -0.0001403706337654853}}], LineBox[{{0.03060659187613595, -0.0012818095295781262`}, { 0.03149277197995973, -0.0013655199136426432`}}], LineBox[{{1.9626724852278754`, -0.001988084649893196}, { 1.9635202768839841`, -0.0018898709802890323`}}], LineBox[{{1.9837694148334848`, -0.0003099548666902763}, { 1.9848985602377929`, -0.0002633268495948471}, { 1.9855849874626057`, -0.0002369950434770729}, { 1.9859329599986912`, -0.00022422324607074273`}}], LineBox[{{1.9955463639725046`, -0.00001585620460942677}, { 1.9956089530489183`, -0.000015364263362110715`}}], LineBox[{{1.9824060028682993`, -0.00037186035634391115`}, { 1.982493904629403, -0.0003676419219766913}}], LineBox[{{1.9707098218150039`, -0.0011626808300713165`}, { 1.9711700157415382`, -0.001122502377022272}, { 1.9716526097143128`, -0.0010811816135953833`}}], LineBox[{{0.007984504445927354, -0.00006199057244988531}, { 0.00918978315958251, -0.00008489074555839693}, { 0.00918978315958251, -0.00008489074555839693}}], LineBox[{{1.9676892402150108`, -0.0014453103320670735`}, { 1.967755017501798, -0.0014388043978863507`}}], LineBox[{{0.02514923683282817, -0.0008282485598813949}, { 0.02514923683282817, -0.0008282485598813949}}], LineBox[{{0.012881336336973713`, -0.00018358894598602404`}, { 0.012881336336973713`, -0.00018358894598602404`}}], LineBox[{{1.9871838999539597`, -0.00018148180278032555`}, { 1.9871838999539597`, -0.00018148180278032555`}}], LineBox[{{0.0066929997658162575`, -0.000040885619287500674`}, { 0.006731228919568916, -0.00004142885161387505}}]}, Annotation[#, "Charting`Private`Tag$6421#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Xk4Vd0XB/CDihL3KA2vyFyURIlSbKIk8ipFZCaJogyJFIoyq5f8ZEpC Rbq3cg1RaydRMlVChJJ0i9xLRbj02/44z3k+z3eftdda/xx5V999hwUpihoh z+x7Q3e6puyGdETRQY2yYa7Q/7DspMzNDEQZxPHasTvsTe70sliVjaiWe0kG QkdBzUzxjlQd8WVr2TNKXiAidOzrwJHrJDe65mLuDU4VM/dhfw6iPobs38Y6 DktUL6sfTL2BqF1edze5n4QIkYerY/7JQ1RaV4XJyiBYY3Il+sEJ4tMufnm/ g+BNlO+3rjpikVPHqdenQUlIrUj9VD6iWBvtHiWHQO10nnrrmwJEnbAT3md6 Dhb+TN0kG38HUR2hRcO6F4CtGZi66zPxwoEPzbUXwPGE1fhJ3UJEDfnUl+2P BOYPRkUNh5hVvyfrVBTs40Rv89pxl+RGVS/eXIK07hAj9sw9REkbvP82FA+G 0rZ5PQeYiOLYtDpeS4DvdjpzRYqJL79J7zVJhJVDwW7F61hkf9UZc4uSwPeo tjL1gVhDa99v4yuwyJ15O3/zA0T1CJxZfSAFDtreYPJGShBVWPQpbGsGcLv2 L8iVYiPKwi3gaWEGXHQUOWxlROyTb/JdKhMeuvlKlaYQe9iNjkxngriPXtQZ nVJEbf+fTFdTNjw//95u3tkyRLX+kpOwuAEb7krMkxZ5hKitT9l+fvnwUv25 c6MG8VfPqqvl+eB8/3TlOVti+y366/7mQ0Jp74lPhcSH3F5WJBQABxd3Feyp RNQKkWRT1i3Ifmd6XzO5ClFz1njtEi0E0b8R9iYrAVGNoY8/L2dC2lEbR7Wd xKXlf355M0GpVc1ZwodYTYJ9Cpigf6fdresxsf753i8bWVBxJ5Vdpo4RZZi4 taeHBT+shqrMmjAK9+265YAewIHb/3vlL1aNqNr97Btr2JDpcN7cQ55Yn+mx 6RAb+hYdbzy4iXitwiWBeDb4nt3erOdAjASkjIbZELPvxxvhYuLg4lve7FJ4 zN/emWH+DIUfqLa2sigH5b3DnGdxNSh8fvvQhcJKkAoz0T1yowZRWX32nwYq gS7OiVtQRrxU0zZCsQomRazU9/YRi5ycjM6qghZc5t+z+TkK94uaKE15DCEa ETN/vhAHZBUnJgE0MSQl1Q3qULhTv+K1rqcQ1LQFpf16iSiXwGmtI7Ugrs7+ 8lKkHuFjy38oxdVCXoJG/JR0PaLMOQOazFp4bb76veOOepRjYDmRO14La19J +iunkvPSbemfYuqgt45b8EDnFZLL3NDZ8vAFmDzNF28MaUBy6Jx7kMwrWFYi 0SMg0Iw+nly9Y0SxBUr7jBqat71BBsjyH7PINqj2ylphO9SKDN7XySU2d8Pv VXqM4uPtCOu9tPOo6QPBiSJ6hXIn2qVzzFox4Cto/3Uutbr3ARlw7bJ0zYag IVKrqXZNL+rn7bUxquKB7OXBiTvDHxFP5LbgiRc/YXC8t+edRh+Snhzs+9sx BnnfK+vFEz+j0zoDvOEjkyAuc4vb39+PePWCtu/lZyD+KNsjR2kAlTgbbzn5 lcJjBkX9nmFf0evuC4X+lBAO2FBTsvQZB432P8vnL5yLe+/VxL2W/45Ycuyc rkPCeMqrNUM1ZBAtiDfgij2Yj9caCs94VA6hJ3pRK/s5otgkV/7I/WXDSFek LDfLRBxrpYmvqpUeRqHLGUq6luJYLnGqv1N+GFX8PlLw9qA4ngx+5zpHbRg9 MMfO00fFcfHeGEcbA5IfYPipxovjxQIjB6Y9h9G/QUusW5rFca8TNjZ9NIx0 bJlfUqwYuOFAsZAjDKMP/dM+1w8xcLlZerVfzTCqrh5dcdONgf/TCTDIbBpG zOJRyav+DLyDobKN2zeMPIfawmSSGbjoSdLGq6JclGdbrB/dwsBpJaGjd2gu 8jzkvU+kg4EjC4/ef7KEiwQ77Tad7WVgx1Sj9RxZLlKawJ1Gwwws4TO+ZqsW F9n3KltmzqVxkIyTwid7LuKINv6rLE9jV0sN6w8uXCS67kuOgxKNLS4IxLZ7 kPpeTYz41TRe9e3mSOMJLqJ+lZ17uY7GrSUc/CiSi7YXfXYo30Jj/LXiFzuG i5jL115I3kbjIqk4lfuJXFRhpmjqjGh8Pnzd5VtpXBQoWZfxypjGGuZ+Til3 uQio/3jNFjSWDjNKTrrPRVdDkwVl99JY+IFkXWwpF6Flv1NtrGjcs6xMPQJz 0eDbnafCbGhcvzvaNfQ5F017Rid429KYfdY2Naiei968u/RY9xCNc1hr6v2a ueh6h5vMoD2N4z9PTR9v5aLvH1BBiCONTy9t1Dz6noskFyrqfHWisZtp9mH3 Hi4yKWvKUHch84f6XnP6zEXSqm7/s3ClsS7ToNGOw0XaKP6nsRvZR5+EgPUP LjLfGp3CcKexxJLPWntHuSjly+Urd4n5JiWe5uNcFCEqaCl1mMackKhMEz4X SYFBtg3xd+u1njcoHjqwx7nejdiZt1hQVoiH1i33ZOkTt8XwMzLn8pCjkOVj Dqlnpvhlk5QID12IYgy4EuOqxub/LeAhxrbclHukH23r0qNLxHgotfp+YiPp 9y43WyiZwUNjr6Q6n5J5FGIuZdGLeEjrWm9ugjON0xRO6CRK8pCJdbvSRjK/ eNXB16LLeOiSn3R6iQONIw8Yesf8w0OVtL66JNnfxLDqXGFpHlo8mPvbyo7G PtGLrkeu5CGx5RacwIM07pef2iwoz0MqTM3eM9Y0btnfcGxamYf+7NDO1t1H 453DJfPOqPCQxrKpkLF/aVx1KSvnzxoeKuhbHJ25h8a3Hvm0/lzPQ1dkeSp3 d9H4nJzEtu9beGhyxzvdcT0aqw0dEG3fw0Nvdy+a4inTuHy/OcRa8pCzqlhE kAKNjR5v99e34qFg2pU5upLGdonru/IP8pD3enfBl8toHKMxvyjAjYfCkPhz gfk0Hgio2r0omId2PzEW+fKWgXOmFWL35PFQnRJHf8aCgRczeCI1kzykVuHp uUpTHM+BDKZi5ggynPCcvjkjir21Kt/PNxtF3l9qumKvzsdFpq45T8ZG0SHn HYO5hsL496AUPZD6E71N/jkyrTwXs61MhFKMf6F4zrmW7lFBHLYr6nrJwC80 kXX7RgyfwvLduztuRv1Gq9bxx3f+OwO6OpEp/2wYQ/F/VbBowiTYr2yeEHg7 hnBe4cFlhuPwuz6h70TEOCr/bLw6+PtPSJvjGLBP6Q/S0GqW05o3Aot72LmC NX+QSqiWcmfTEMw9G7F/y8kJ1MFockCZX4G648jsWzSJaF6gi//mz+CXzkxY VD2JcP8cw0xeNzxeGy0i4TOFLHUz73Cut4HEbj+18+J8RO+QWlpc0QI5Txmi uhJ88j/vusXIbQGNLcXfRhbzkaVWm9iF2BawUOEUuPzDR3JVfdaZh1ogdp6j vKESH+X8UsCa080w55npUkqXj/DH9uf+SU0wtlWeOneYnB/wcNrc+Ao+rGt5 G1xFXHr15IviWrg+KHFWCPjI4GHSwbiYWnC9Y7Uq4Sm5f57XNe/DtfBNqf10 Ti2pV3pKJVKmFsZW9MjUtRCXlwUvSXoOEguGjkh+4aNwqZtvy4NqYOeAMP+e 2DSipBrPCzhVw/w80/zN9DTCHnY+vvrV0OASZ1G9iOSfTjAnZarBqlv8xrtl JB9z1jza/RScW5fs5MuTfJeieoHDUzhTrXjZVJv4LOvddTcMrGyk1O84jcLH xDpkRR/Dz5Cfwi4uJLdb6ef3pgq0bW4NdrsRz9TaT1+rgkoG42G7J3GygHyV ahXUhvcYvvIj3xfbWXabVUKX61mnBxdJ/n0yvTi9AuatrkwPv0eszsdhrqVg KuR7bppFzM9v6dQohfheBdeQh8T28yR9/rJBIi1WNaCcWPW4pl4WG6Tn25Uf qSb1k+MLznaVwIbBP+8s2ki+TMX7outDcGBqS8jMkLzhivi9dBaU2v0Rb6Fm EPVjqujEMRaIz3u08ILQDAp3SNML1GcBttcT+SZCcqr2aHQtExQWGP8tWUy8 m3Vs1OkeDLjv/WGuSqwjJnimqAh8pI69DN1PDAtbdfMLoPb5urr1NsS3fYo2 2haA7EluTZ8t8ardz5hiBdBS54d3ORHHZqdrns6HDYHBZZJexE8+qx2yyoPx 5ov5d8OI2ZJPkEIuhEfdiPhQONuPnoWGcSaIBQnvdikm3j/j/6I1A9I9jy8a YBJ7zXgbeWTAQ7MtN7klxGsMr3yKS4cBidc1gkDcGdNR9SkNzLIpEdW3xIXr G3rLrkJHkkdL8Tti5/CBTOur4B7RkLahg7jvJ3PrWAqcc09T3dY923/vtMzm FGCt0TD79ytxW8RG/9r/YGmZU2LgFPHKbFtzsctw8/Zz68lp4iGPlVoBSaCR vlY2jPqLqAbzuZebE8H07Dgzei7xiz7/6LgECDVKep3BIHZe3xG4PA76mp9I VisSt9ysZFy8CL5Plbp3riLueK2UNhUF/Aex+a9UiDVUTbv9omBJqrX2u3XE AYZ3Mz0iYZf9sA1Hh7g8bOCr63ko5shkiJsTW/J3tdufheisKOcei9l6w6mF h0PBfd8P5Xt7iVXexzz3OwPSVVWsPTbEOe5yTdeCITbpUG2862w/ch8XrDgF HsbP4uwPE2OOGX9HIGyfWLNXzXN2njIFtcAAmHCd7Hp1fPa+tDbDj37gqX1t ZEEwsUH4ar03vmA8SJV1niEO18+q8PYB2RzP0MJzs/c1dGeIHYe2+ZuFd0fO 7uNSUKSXF+zobpOOSZrNXXLORx8Guf/0+w7+N+v3rHp3d+DvLLilcpWYFVVv Z+oGJazADS/SZ60SZ7jWBVjandvkconlLOxyNB3g/zqMigA= "]], LineBox[{{0.015412559489574392`, -0.0007538933711259688}, { 0.017175101510522775`, -0.0009542148904220227}, { 0.019628681609693666`, -0.0012748064025327466`}, { 0.020242076634486388`, -0.00136260853436454}, { 0.02085547165927911, -0.0014534903081528938`}, { 0.022082261708864556`, -0.0016445256083876814`}, { 0.024247277921402417`, -0.0020125121043904483`}}], LineBox[{{1.9800128763771412`, -0.0013257407364459795`}, { 1.980963633416411, -0.0011948829379663996`}, { 1.9814664241137292`, -0.0011256811534625655`}, { 1.982152851338542, -0.001037174693307108}, { 1.9835257057881674`, -0.0008715812575506021}, { 1.98421213301298, -0.0007944642775559174}, { 1.9848985602377929`, -0.0007211124235908528}, { 1.9855849874626057`, -0.0006515082860669708}, { 1.9862714146874185`, -0.0005856334224869642}, { 1.9869578419122313`, -0.0005234681989403356}, { 1.9869578419122313`, -0.0005234681989403356}}], LineBox[{{1.9946263552267767`, -0.00007391380195600209}, { 1.9951949686099844`, -0.00005703755724084658}, { 1.995881395834797, -0.000040282819549375404`}, { 1.9965678230596091`, -0.00002664657123752079}}], LineBox[{{1.9921023879292483`, -0.00017322672835895503`}, { 1.992449259710733, -0.0001567772939274903}, { 1.9930589692131917`, -0.000129988979438167}}], LineBox[{{1.9972542502844224`, -0.000016023220485550382`}, { 1.9972542502844224`, -0.000016023220485550382`}}], LineBox[{{0.010742476990142448`, -0.0003437290739702572}, { 0.012181771315412964`, -0.0004507551156933687}}], LineBox[{{1.9898585528143742`, -0.00030121668343419117`}, { 1.9907162405767167`, -0.00024797615004216306`}, { 1.9908268777251665`, -0.00024135893325372137`}}], LineBox[{{0.004929362547335268, -0.00006041294353664739}, { 0.00613399106425376, -0.00009864821185168182}, { 0.006747386089046483, -0.00012204352097100468`}, { 0.0070541304580072385`, -0.00013475443285848598`}}], LineBox[{{0.0030108407854104445`, -0.00001977638964945072}, { 0.0036538523432536356`, -0.00003071556145073373}}], LineBox[{{0.013457281519494598`, -0.0005606209773443283}, { 0.014165798916080448`, -0.0006276251659877544}}], LineBox[{{0.00012281403876088337`, -5.976158234943796*^-9}, { 0.0015077563834993003`, -4.027595128519579*^-6}}], LineBox[{{1.9787319017434, -0.0015163710807905688`}, { 1.9787373661730594`, -0.00151552089466378}}], LineBox[{{0.008032276164941007, -0.0001798642409100732}, { 0.008094635367353508, -0.0001829635680810071}}], LineBox[{{1.9994970648041506`, -3.033113635808604*^-7}, { 1.9999999591836735`, -1.7613646505765246`*^-6}}]}, Annotation[#, "Charting`Private`Tag$6421#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 0.0001254916798991701}, { 0.0005432615057210687, -1.1332214420178843`*^-6}}], LineBox[CompressedData[" 1:eJwV1nk0Vd0bB/BjnuoaIhFxbijC623Q8FNbpcGQDCm8QjeFUtSrOboqlSG8 JW4ZIlPIkK4h5NnmkqkQEaGSkHvLEIV+uz/OOuuzvs/z7Gevdf44NMvb5pAg RVHfyPPnHX7sSHKcVQSiqKQbTwxdYbWh7k2HqP8QZWx35X9zLEhQ2H0tWCkS Ua50ipaWJ1xoiK7aW0zMXhdU3HIE9gb2Ci795w6iEk67RoV7wbyJE5dKYqMQ lSubpqrkA2dbI8+OqN0lXiX4TtYXbEO7C4owMf/SRzHmKdA30Zq4euAeoiIc WJ7rT8PHJ4UnVJNiyD7tQa1+Z8H6ducRS614cv7kzfP7/UDXfGm6ci2xFY2u pPmDuJDX5wH3+2Re4ZXGqUvg8nTuMexJQJSH5aq79gGgoB2hbx+ViKhe/sIM o6sQIP5kWZBSMtmnZ1aQGww6O/67kedDvHxzpGNqCLwO9P7SVUss81FZIC4U NIR0M/VPp5D9AldvjA6Dmtlk/dbXqWQf1/3Y5T+YNxa1Ri00HVHijNxXvDuQ //epqJ0fiEdOhNwOiQJnH9sfJzZkEOfnsrWjIeer9NOqQWIrt6TuoxywGbxh dGTbI3J+r3OaZAxwus9vzZ/LRpTlsgtW9gmwWcUhuccuB1FRHt5RhQkw5LhW RDyLWJnFGlNMhCUj5w5m6eUiKrLn5veuRPD2NNSk3hEL7/sodiIJ5NxyHqas y0OUv/dIbFMq2Dsk5vC/cRH10L26zTkbeF17JB8o5yNq8M3Y8Y5suOYsfsh2 K3Hj/eEZmxx4ctBbuSCSWHdh1gXNXGAc3xh4YW0BomqrI1YtfQzVl986ivoV IqpKpTB2zRNY+UhWVEW8GFFZJ3WOFxTCC/1q1wYDYpl3jWGCReD6+GyJvwPx 13Eznd1FcLPgvU9fBvG8vLZXX4pgEGd1pe4qQVTa0JUPGsUQ32b6+O/bpYhy p+8tyCsFqd8BTjuWAGKbxfb+I18OHM99zrrbAVFvUfOazeWg0arrKnucWDb7 q9nxctiU3n6w6xmp3x+Wr/WiHJ6mR+UX6mPEjjW9lRxQAV9tR0rNG4mzNm8q nq0Eu4fRL/+dX4GodXKvbZi1ELv/ssVhmtjdhRG5txb65Y412K+pQGxuZ4RM SC14+21p2rif5A6NR0rGayHI5utrsSziE4FXOuqew7OZLZ0xFpWIvX79c4PL daBpPTpYGVKFKG6Y8X7VRlC+tGODeyLxhYZCJedGkMlKCJEsJB6NFVC53wg/ xW31rfuJGROM73QTNOPCf3vWVSN8R1v6pEIznDcImJv6RLz6zv/4Gq+gUVpe Xt+4FlGVMr5LnFvgTON6xBl/gdQtHfvM1ncAQz//0wvxOtQb43Y7xaUDkm8a hP5SqUOU1NP8Jdc64JXFsrfO2+oQ7j1o7tXSASteyv+rGVWHXK+VlPh6v4X3 tbzUvLUvkbq1W8GGrE7YUZ7CaDhfj6h/RrRjUDcocmV7BASaEH+wKO6NSx8U 9G+tbzJ6jZr1qtvytAah4kjcYoeRVqQ+MuZX84EHE1obpbOOtaPliwVV8yXG QXA6U2axZidafrGqM52aBsPfrgW22e8Qh079ZELPQf3V1Y01Ou/Ro4ca37sb BbBaxPB0+mgvqr8euNBWUgQP/3jf02bQj1Ry20f8zcVx8lBJHSPsA9opWywd Lz8PM1TTeB8/fkQTtXsPU2IyONQz/3CCxgAyMi8adp+TxZPGmR89Ln1Ga7hX Ju2RPPZdWcVdWDmI8KoXd0VOL8Tvs6tCXtFDyPbAPFez6UX415HWGO3zw8im MLN2XuhivGKz2NzhkhG0OJatoyG2BO94QLs/VhxFP3+oHQ1jqePVHIZWjcoo qg6u88p2V8fqYb8+dtKjyDe3a2mjlzr+ea6NJaw7ivRd/OPmnVHHWdZBzvuM R1Fx9LhmYIg6XiDwzW7WYxQhm4JNLlx1/N4Fm5gWj6IFbYzVl0VoXG+XJeQM o2gWx1mESNK4yPxexcmqUZSqwJW6LU3jW2t9jWMbR9H78TUm8Uo03ia93IjX P4r4tZ+HE/VonFkWvuqOFA/1D3YqWtrR+IyqC7PPiYdeu1RM+T2gMcvKYO+7 Azy0M9byq0IajS2vCAS3H+Yh59zJoIeZNNb6kvStwYeHytX1rpZyadzKHcTF V3nIXNP8+J0aGuPPT8fzg3jo+74jT6bqyHnKIcsfh/FQxuMuJ9smGl9m60Wk cXiopi/WeaSdxgYWJ10iH/GQYflKFD1IY5VLW2+HP+ahSoFIkYQRGovlydcG F/CQgMVUGodP4x7FQv0AzEM/y3Se2EzRuM7sButiNQ+ZWIyNSc/QON/PIepM HQ/96uBHc3/TOPTDr9ljrTy07KC+faooE59d2PC351se2iO8K2RIgokPmsYf cuvhobsb5IuE5jOx5UXvuy4feGhod07NF2km3pBj3OA4yEOtjSvEbskxsVa/ rMDerzzkJewoNyrPxLIKH1Zbf+ehPtYL46GFTDyzg+th8YOHDP66p+m1iIkH zwfG7pjhISmmxVFbJSYe2rvCI5HiozcSAjJXiF35CwTVhPjI/LBayRipfxM0 ExMrwkcGvhPTTxWZ2HzppzXK4nzkYS1/dFKBiXFpQ1O0JB+JGKt31ixgYsO9 BZ4K8/moVNJm6RZZJn7Eixe6LU364+ZLn2MwMTPoepyMHB9pfNowdUaKiTlM n7Vh8nykxdGkd4ozMaPU/pWUIh81jTkn8IWZeHpUW0RMhY+iD53LeD9L4+Y9 9V6zmnwUKhc1nzNK4+2jXNELy/loyOE1I3qIxqXX4xKmdPjI56BO+rUBGqcV H28d+4uPgsyyyox6aOyvLms0tJ6Pkt3K1dUbaKw7YifVvouPPiv+CLVPJ9/v HgsItuKj3JIoN5dkGm99tuXfTbZ8JLz7Lw3X+zR2DPurK8WejxZr78qyukPj IAOJTN+DZB+Nh10TbBoP+JaayZ3jo7Z7ngqX99E4YZYZvCuZjx7ln/2cJEjj BdJ88aqffFQppeBpaKeOhSEmZ2nsN3RZxYHVpLYEH11d8lbC/DsqUmdVHPNa jDNNWQllk99Ru9O7sph3i/DEsLLMQNQYurXLqkr9v4U433aHUKTJOHo2QTML DeTxpZ2B97kD42jT29QkYQU5THebdSQFTqBl0m/zt6rJ4A1rr0YqrZxEe/oS UzWN5mGnJU3TAi2TyN5PVJNZLI4n6m72+wT8QBoXZ9tO6ItgjrCzr43GFMrt m3lgrCqIF/TkPxCsmkLG7BIoejQHIn4Be9afmEa91n7HtFZMA5XunNMv9xMt Ck+7kHF1HE7ey7kpV/ET5a445uMpxIdnK26Iyx7/hSLGy94KmwyCrNlJ3cuM GURtnDPW/N0HCeXSUhtkiTUu/hYZ6AOD9Vlfvi2YQXiN4sGp+j6wXD6YekBp BrHd2pXkYvogWNSZ3qxB8pbG7Urr+kC40nQhtWEG5W5c+/D0qV6Y/B9N+R+a Qa72IuFdP7vhnV5zy7lSMn/34unYqx1wf1jWTwhI/+bmU/z9HcBKt9W6WT6D Eq47FLDWdsAXjfazCTUk9y67nDTUDpOLe1Rrm0n/y+AdUTbtICs54i7/iewj qHfKePkb2D4gNpM9fxaxdU9/SB1qAYlk05R1MrPI+FZlyevaFqg/EGJZITdL /mcC7FRTWsC2m5HYpkjq17yrZ7i2gGurwvYZmuTeJbWs9tdwoWJphKnhLMI2 V141vnwFufFI46MzyS1dHLyim2Ds/JjYgQPEto5amY5NYLgvbbj7IJlnXCSm uaQJSqSln7R7kPzZItG6lEaoYfdsfnmS5KJnBjoKG6CL5eeSd43kjyTfSnx+ CaLLSu6xs4lLyizyTzwHUyFv/9lc4gCzejuj5xD6nsk6/4T0H5ey/lvsOchy grV9i/7sW+5+N64WVCQci9wrSL56wVO9hhpYOTzVZvmGeJnZ/sNrq2F/jqGs 6hypd7xeJ7euAgocpxjN1Byi5PIE9UQrgCFaPO+KELHJCCe0tRyw00bxL+LE 5cpdi0+WA1PS5Dd3wRxiq6yKOp+LYcDN+quFNsmV7fO8fcvguLLXi4t7iP+R uGQl9BRqqvVq/9pHfI0T0J5bBGoneFX9DsSdFoODzkXQXHsS73Qh7r7WmlFa CCtPnSuUP0K8xbcmw78AfjRdS3l0iTjftCNahQvswMSAdxnE9UIb5dk5MP+M mNmBLOK5TAkn0Ry453FMbiCHODJ9+PbNbHhivj6JxyXm6ja0xGfBgOyrKkEg Prx//u36TDCPp8S1W4gfuViK2T2EjvDDzVltxBa31CyG0sAtoJ6zsoPY6I4X m50G/m4cbaNuYrzKsjAnFXJ1DMx3fyaerJlwUkqBhYUuYad+EVPKx/yUHkDS w+q9P2eJQ20DuM8SweDeCrVL1G9ENf/e1clKBFO/Hzk3RIh91rV/y0mAi1vD X8VIE9/w0InPiIf+pjL5iqXEVt02nnfvgne5Rvd2LWKNsm0Jvzkwkxec8nI5 cWzjwzx3DihE7TVs0yN2clvhuTEadjqN7htc+6ef07vodyRkDarGMCyIx89u c+6KgBtxga49lsS+wbc+W0WAm81XzWxr4p33Wy/8Fw4qpaW5u/YRc46qJ/rf hODwf2pCWcTiw1GSEUFw2KQyxOkQ8bo2oe77N2DLtI61rsef+5hcNeFeh2nW z66Xx/7k1YNNQ4HgYXj3m+Q5YpkqujLsMpgMU4WdF/7M/6GrXRkAagkeFzP8 idmKwktm2PBGYp2Y2VXi3Of1rj/8YVv3G5Wg8D/O2vGUdQ7Ub23qt79FHCEX +z/5szCzPTVt+Z0/91WSf9l4Gri5p1Y+v0fcyygVc/EFnnS6ok0SsXGZfjvf B/4Pcj6B8Q== "]], LineBox[{{0.00452245720771621, -0.00013391647778959737`}, { 0.005202492636691967, -0.00018143102566625657`}}], LineBox[{{1.9798784262276996`, -0.0032340100881427247`}, { 1.9814664241137292`, -0.0027211487292397862`}, { 1.982152851338542, -0.002513540224871491}, { 1.9835257057881674`, -0.0021237362621668865`}, { 1.98421213301298, -0.0019415066366939016`}, { 1.9848985602377929`, -0.0017676999589291142`}, { 1.9862714146874185`, -0.0014452748876649935`}, { 1.9863203252447044`, -0.001434405860763377}}], LineBox[{{1.9901429611325627`, -0.0007153893479987516}, { 1.9910764052611079`, -0.0005786047973366237}, { 1.9917628324859205`, -0.0004876183318600624}, { 1.992449259710733, -0.00040471447276857475`}, { 1.9926983404603376`, -0.0003766204870814249}}], LineBox[{{0.006478002840773599, -0.00029121158449285645`}, { 0.007366645677244187, -0.0003838488278873342}}], LineBox[{{1.9974703545401464`, -0.0000375508725518614}, { 1.9979406775092352`, -0.000023823608412243402`}, { 1.998627104734048, -9.637352953006939*^-6}, { 1.9986439433475665`, -9.389294085337951*^-6}}], LineBox[{{0.0012268308659119764`, -7.455414351653644*^-6}, { 0.001347697871437399, -9.247871915363248*^-6}}], LineBox[{{0.010591421511127732`, -0.0008336368522989801}, { 0.011275757186808948`, -0.0009522998043429709}}], LineBox[{{1.9948449131579624`, -0.00017787226610010975`}, { 1.9961948443360646`, -0.00009195658108396287}}], LineBox[{{0.012551267390890582`, -0.0011954085106928858`}, { 0.014657014629731107`, -0.0016596526210399531`}}], LineBox[{{0.00864215588132582, -0.0005403200491045368}, { 0.008826094622145337, -0.0005651876843550951}}], LineBox[{{1.9875958354487862`, -0.001165910554068006}, { 1.988867450928481, -0.0009267906064138742}}], LineBox[{{1.9786487215148834`, -0.0036624957723532248`}, { 1.9786487215148834`, -0.0036624957723532248`}}], LineBox[{{0.0032469470036345775`, -0.00006500762486894018}, { 0.0032469470036345775`, -0.00006500762486894018}}], LineBox[{{1.9938221141603587`, -0.00026293668237897805`}, { 1.9938221141603587`, -0.00026293668237897805`}}]}, Annotation[#, "Charting`Private`Tag$6421#3"]& ], {}}, {{}, {}, {}, {}, {}}}, {}, \ {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw1WGlUjYvfrY5mmunWLWnUJAmJ4ocoDYbmQdKEJBpwCSHiKo2kUqGZSvPo lH5PnQalNKhcjRqkpM5JGp1znr/3w/tpr/1hr7X32l/22vJuPpanuDg4OKQ4 OTj+D01PTXQQk6f2UJkK1T01P6tWGUr7DkkdAC4bp1Ch6PzqrS/ik4qlrOEa 2T4WHNVWPSajFHRFxRlYjPZZ7ZrharPWT0XPpDwgof+62N4oerVSmGwGKXcW om4nHH75aqmaaeoe56pyATIkSQXJGk78HtxV5xrrB7sDtwU4qvOhncfi20dS l0DY73yWbJQw1hlKl9OS/oHI5S4H7WVx1FbcXfBLLgAqOObfR7/6C5O4XLKU 067Dl7Z1Glt7ZJFv5E6qrcpNEN/6TF+gRh6pXzpbada3oX5483/SPUroe8zD 1Ck2CLgvGZ4zU1fFgc3/GoZLBcPZ/dOXVkdtxpgXfxHKx+9BBtZc/tC+BU2F sw2qk+5D/9HDr1WWt2LZTMt2ulwIJNcrC/77Sg+9nZ2L/nUNBa0c/62Rm/VR 4QNda0PaQwjm4rDb2LMbI3LFVC1UImCBa6aRUrMPD8qmp0+eiYRDDk86Xxoa 4s2GBJEa6yi4OdHfK95zALfpaoY7xEZDbKH5mKH6IUxee/R+qFQMCM7k9VKi juL11rg6W2oMVHFrTl58dwxt733hUjz+BMYK2keb2i1w9bzfrcqkWLBwCu2W X7bCq10xV3/IPYUffJgd9MoercIGyiqIp6B9XeKZ+IQDah1QmQ92TYB0/l0R IZuP41hxuZ9sWiK43pj3lu85gRaPe72OqDyH+L51ERw1rqhpppgl3fgcHHnu 3HG47YZ8FO9v42dewHWw+Sfd0B1PvmEXonUynO7f6iTS44Fr1aK07GNToIro 2LBX3ROD+Io3hkilw/ZtUeFkpA+qG0c/KPJNhzOrz0nwWvpi5z2fyb7GdFCP FJk8OeiLShTNHK1/MuCGkftGHrYfNrDStbo6M+Hb9Y1LSg6XcPVc7Ha5sCxY 4tT4nnMzAEu3XI49NJoFW1gLL99vuobOvlaLfruyQTqk/ofB0DXMnxZ+UzeR DbctvQQlTG6g5cQDA6+Dr0HkdWdSjN4tjB+4ZljKzoNdu4Uf+NDu4D4Zh/RB m3xwRP4XDzfdxe+OO7j5cvOhO+ReQHv8XVz/I8A9d1MBRC9yBHT5B6PPWV1l jv4C8NblTa3fdh/FPPJfZegVQeE+iyRzRgjaO6TkM2ZLwKhxOn5BIRrpfdYC qdKl8HtIKqL1VDTed+Y7ZWVYCnG7bYeVs6Kx2N1HuiymFK42kimOWx6h0IXd 967vKAPtdevCuowfY/2dz448geWw/PwoRSD8Ceq8FuWR4aPCWueFwOtXE7BJ q96lVZsKb8Q1tt98n4AuhVcrbzpQ4aCQrymXXCKGlw35DmdTQaJTPTKiMREn iNy+zMOVEBDjHlS+/hk+7zYp3PK4CqirRvjMvr5AQTLIyXg9gpsJv2XVZCrG n7Vz1jRCKDcs++YgnYZKXZouohcQRH2Us7abpeGerE/ufW8RuB1M81/mpuGb rNjSci0CwgLy3l2+nI7TVj+qzD4Q4Dc9tJkqkok2r+LeX1xTC+eTv7WNXs7C pBN3zE/L10JyVe+AUV4Wjoidb7XfXgs9/FGSE+NZ6BO4v233iVp4sGOf0Ff7 bAyxnO7kza2Fe0Nv+ZogB98y9/cmmtPA3m2Dzk6pXFS2mJmgPayDeKmDGicC C1D6lvGuMyl14MQpNameXIAiuckPBcrrIDVtbpcsrQBX+Ky0LEbq4LHk2wQf /kJsJ8ovDurVg/HbZNP3cYV4TTuIvfS1HsrI7HPOlUX4QVhCQmtvI8y6vC+a ky3FKx92QvyvJkiK0bfpPUZFIa3Sr018zcAcItcPBFAxPVw77LdMM/yk5NaR qVTsMN/42flgM7R016Slz1NR473EReXYZlid0l3gnVSJQ430zKId7yGtO4Nn gV6FxjUZQq3XWsCofCJ5Og9RskR0kJOzDXS1mMZ6DbVYNmLY0mbQCTccGu3U mE1Y6/Xsb4cfXXDM2MS4Q6oD51V2C+ee/wTVEVmfJny7kWs5R+Rv5V5Yv0G3 Nqa4F3VJlzKrvH7YH82WYYl8wZbgbR8a1Idg3efha4ylEZSLmlrOmvkCnezE FYHT4zi1ODTYrT0CON/ZJd47ienfK5uFIkaBoiB/Z2xoGoVkX9LHxsYg39DV PH3NLIadLT2drDQO0oVPJFU3zuHC3pwxz1vfoMXmSJxX9Dxe0qkrWUebAL2h aaOnc4s4lFf3sEP+O5wT/XRs8PUK/vbqSlS7NgXr58LeLASyUGMfL/t05Q+w LV15nCnHQRinyp8plJyBfTXpfR/yOYlt8UIqDTIz0BRj4fKulJPYEPF7rFd+ Bmpa1L7VVnISKwHdbqs0Z0DQy+k3tZGTyLUIcbbbOwNLDs27y4c4CXHOWRuW 5wzsEW5S/yLMRQydJA6YUGfgeptFxpwvF9Fik0txxhkw3XLOZ80VLqLCLKHW v24GQhfz9VUDuYhHOy7tTfowAx6Flb0uIVzEQWFVA/rIDPj19ukMpnAROdWR W58I0mGBE8z4P3IRV2RPKgw70SE/M0pGXpdCuB3Ttu13pcMrk9k+fQMKceQu Z+in03QIFrn42G4/hVCZTJtt9aXDN/7e79FHKERXyQRBDabD0Zzt+mJnKIS2 uf/JmNd0KHyl6LYvnkLI3DJ8HFlIh76Q2LRzzykEb5FEY2gZHSYi1Adi0ynE oGS5VhBBh5xVZXqMAgoRNvqbdb6LDj3PHaPzmijE1XWtW85+poP0i57HX9oo hLvJ81Meg3TYQ7sYId5DIXbl7211nKDD1iui3jdG/vgbEeW0naYDF6/Y0aIJ CiG6dnSbxU86FFO3qk/OUAimcYmn+SIdjB/9w9owTyEmrt1LMmbSAcN73zn8 phDfbTU8UzgYELJy/643m0K4MMS55CgMCNiTunvrEoXoCWEmJnEz4HDmIH1l lkKYKX7dLs3HAB4dgwTaFIUgqlrb4gQYkDpMNQj/SiF0bcvOrl3DALlSx092 QxRCIeTfZyJiDKhtZP2id1KIeAXfHRESDJjg4bz6toVCCFXZdwhKMuDnWeW5 hw0UYnlGjZtXhgH5iR0dGlQK0W7d4s1SZkBLbrn2lRQKofnDRvDTYQZoevDU AFCICmtzDD3GABfnpekXehTC8O3+i3usGEBJYezh1KEQjhGb+zLsGRBFzpk3 KlGIEG3+nEvuDKiTN5JyFaAQ45eqTMUCGJC1InnxfTcXkcxSCD2czoDjbD+N 6+e5CHFhBl/dyh9+mMwzSuYkVmFivmLSLHh8z+QK3MRBnNtW+Znf7CfE7jhe pnSchTkmbsnVCz9BzGNyITN8BeenpEXGY+dAqlQchkSWsNTKmBJz4Bf4mjg0 FwfN461D916UjP/h9qS4Hcyh/IDpf2n35sFhIM/x7sZZ3LUjOEZKZwHEjOZu Mfhn0Gl92zLnxwWwNt9/Pfzod5xvDh/xDVqEnruhP+3DxjF+lfMlS6UlaH5X wMlhPorig6WpXHVLIN1/bO1nxy/IHRhkvdNvGZpSAzJjv/QiR5Zz/ojYCpza HN+wa64b/RPyw8VqV8BzwXPaU7MD32o84BO98Bv02mbcLP9uRlFTf807QkzY puPoNutDw+QaYcFdokyY6sgJ1rKhofbO3MlZcSYIZn2Su7mLhkdUJzJdpZhQ yXpLWHPTMJTHWX6fEhP+3Vv/eiixFlfRTNZx7GICVaN6k3dLDS7oy3PcPMWE 6XiHjyf1Cezf1P4xoIoJVknnHd1TqPhiSjSQgkxwHjSp5r9KRbcsK5XwGiY8 Mbht036EipNKn64mNzDhn8O/ZauZb3Dh70HZxnYmnKhRl5RxfIOiAj/OSHz9 o5+9kD0sXYFG47zMvDUsuOcfZv24pBT5000y9ERYILHrteLeyFJscX14pFaM Ba2yKiprvErRakAopVuSBRU7Vet5N5SiS9daI6Y8C17TTp27FV6C12sVo0x0 WdAs12B/9UIxFjwHpTFnFqgv/10edagQ567N8bq6siAu/a3e1MZC1LV7OTXg zoJ1+1pee/AWYqWwcPEnTxY4HNb2LmkowIbbg/ve+7Mgr0j8UKNRAfa5BZ4s us+CYtfIiUtP85BnY2XC7TwWTM6/M8gdykYTis9NVgELTkQf6lufmY1hQwpu 14pZsCSU6vzBOxtF40PVLlWwoKhgRPzbShbK8DtWnKllwbvwBD1SKgt1ppa6 j/SwYChvzKvZ/SWeyNcVlWWzoC5sxL9FOR3LHJeE2jnYIBAlplBLT0MhHurq uxQ2FP3j/pqDmoaE026+ST42fJg+Y2l/NA0VBA6QJeJsoN/9PeoXmIrjHhbT 5mpsMDx6WPbIt2S8IO3ddMOaDcfqdDtsRhOxoX5T42Y7Noi9aFu8EpKIcn70 uhEHNljvze7S0E7E9kZ/4tBJNvT1KBUeupWAOpcDyiW82OBvtXneVukpLrbd z3h9iw3JoU+z6kNi8fa9lKD+bDYkzdbSpmqicc0VXlPXXDZkya9vFbgVjQme 58XG89mwOyO07JXBn31otjONXsIG8Zdxaq5vonBctKOOC9kwo0aRD/GLRLPn HHxqH9mwd5s6Lfv5Q/wv8nR7bjcbdLkF/6tTfYgeQS3xOv+xwTNQKLe/OBRv esSrGQywId4tMI67NQQL1LXNjn5jwzLn7/MGgg9wXfnJiMu/2cB4dFl+T3kw pr2qt11hsYHWdVtvm0UwaidoyN3iICHtbZ6w6o+7aBK4mP+Am4SyYH82n/Jd vGEY2ZEoTILtt6cD+alBONJWLVGrSIIlu+2AYmIg+tQoDRipkFDorn+lceYG MotCM96rkqAp+UPtzIEbuDbWVrd7EwnlnrIiT+ev4SGnGbuJHSR0luBQg89V zJ2QTRQyJ8HzJ1eYKe0iPnh2z2XwCAlxofWXvVUuoofltHKeBQmnXoS94wnz R5mqqoLDdiSEgmpWurMfhkYebwhzIyG5RD1XwPACnj5Ae+h0igSeokWRbu3z uH9Z3ULTkwTprFajKEVvXHZb6Xt/noTc4BjVz5Je6Kn7dFYggIQX9PC6Ev3T eGCKo7z3Ogk3qKkV3BanUC7Z80b2TRLsbxE3jc95YA+/Hq9pMAmN8+uCnuW5 4cGBHpmQSBIom05WqQw744ZHe0bsH5Gg7fxXfbfjCWQaZb5UfUKC1p1Rv9OD x7Gk4LLOuwQSjNPzyzUpDqgQLHGIN5OE9xZyv8xpVsjWu7Hm0ysSHGQ9ZfnD LPHz9GhnZg4JBf213zOdLTDKrviEUSEJXF5Oo0KGR9B79d+K60r+5E0KtI1R NMdDNXcmvpb98VdSKzogaYqkuuXFe1UkqCdWuFToG2Hv0Bs9GyQBPc/+Mj13 AMti5NlKtSSckdnTnpy3Hy+wGQ/qGkkY8ckkNIf3oGmx/ZGYZhLSYaOa96A+ KnsS4h6tJAwO0OV1KDuxvyPyOeUjCWFB9nUWtK1YcX/R/WM3CTL/Lp3Pcd6C Mfon1dL+I+FoCXFU0lALfRkNM/59JDjNy42NSaqjWYZWyf5BEvI6hZ6ivgqq OMYGiA2TUG0afuFlngJyCbP3jIyS8LVCt0lveD0O0k6tKhonQU/Mf8GAIoXU q61NQZMkXElp8ThOE8fYTdsjLX6QsL81TFXVUAj9RpKs5ekkCDVU83/Q50Hz uFXSs7MkJFk59x4bZlermnsPEb9ICJ6uzLhAm6texdmVHrX4p69qzanv+uPV X0r1vVxWSLBLKdv4hPaxusorbbM2iwTuGBnNEVpxdZyc4DxJkvD//8v/AM08 GpA= "]]}, Annotation[#, "Charting`Private`Tag$6491#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw1WGk0lYvfNSRTGc4Rl0syZkpSyUX9KkWGBvOQZKokEo2SpOhGpkoIlbmQ eSrT7zFnyhC6GTNUJM6REJ1znn/vh/fTXvvDXmvvtb/stWVcvM1PcbCxsYmz s7H9Hxqfmuompk/tqWDI1vTXclSv0Ze4MCp+ADisHMIEHmDN9ufxScXilnCd 7JoMjh6tmZSUD7qq6AhMete8Ru18jUnHh6Kn4m6QMORP2RtN1siHS2WQ0mch +lbC4RcveZBh7BrnrHgeMsRIWbFaYfwW3NvgHOsDuwN2+Nmr/IU2bsvVD8Uv gaCPV5ZUtDQ26EuU1yddgaiVXjuNFTnUkNtd8FPaD16zLbY9eKmESRxOWQpp /vCpU1R1e/8W5Bm/nWqteBOo25/q8tVuw4pPPR31lregcWzrfxL9O/DCMTdj h9gg4Lqkf85ERRuHt/6rHyEeDGf3z15aFw0Y8/wvQuF4CGRg7eV3XfvQWDBb rybpLgwdPfxKcUUfy+bad9KkQyG5UYH/35eH0NPRsehf5zBQz/HdHrXVBGXf 0dQ3pd2HYA42m839hzEyl6JkphgJSxxzzZy1ZnhQKj19+kwUHLJ73PNC3wJv NiUI1VpGw82poQFqvyXu0FKLsIt9ALGFppP6KraYvOHo3TDxGOCfyxvgjD6J /h1xDdYVMVDFpTZ98a0TWod84pA7/hgmC7omWrqccd2iT2BlUiyYOYT1yay4 4rXemGvfpZ/Adx7MDnrpjhbhw2WviSeg4S/ylDp1FtUPKC4GOydAOq9OZOjW czhZXO4jlZYIzjcWPWX6vdDs0YDHEcVnED8oGslW64NqJnJZEs3PwH7t7dt2 t3yRh9Pz65czz8EfrK6k61/Ek29YhWiZDKeHtjsI9V/CDcrR6raxKVBFdG/a q3INg3iKN4eKp8POHdERZFQgqhg+uFd0IR3OrDsnwm1+C3tCvKcHm9NBJUpo +uTILZTnVMtRv5IBNwxcN69lBWETM129tycTvvpv/iVvF4zrFmJ3SodnwS92 1W85N0OxdNvl2EMTWbCNufSibUsYOl6wWPbRyQaJ0MbveqNhmD8r+KZhKhtu mXvwixiFo/nUPT2Pg69A6FVPUox2FMYPX9cvZeWBzm7Be971D3GfpF36iFU+ 2CPv8/tbHuE3+11cPLn50Bca4tcV/wg3fvdzzd1SAA+W2fx6fWPQ+6yWAttQ AXhqcac27ohFilv+ywztIijcZ5ZkSn+CtnYp+fT5EjBono1fkk1B2qAlX6pE KfweFY/sOJWCdx15Tlnol0LcbusxhawULHb1liiLKYVrzWSK/bZUFDi/O8R/ VxloiIqG9xqmYePtj/ZrA8ph5dlRTr6IDNR8JbxWkqcCNjguBfhfy8YW9Uan Do0KeENV3XmzLRudCq9V3rSrgIMCF4w5pHMwomz0wlh2BYj0qERFNufgFJE7 mHm4EvxiXIPKN+bisz6jwm2PqqBizTiPyed85CeDHAw3IrgY8ZpXTRdh/Fkb RzUDhHL9sq92EsUo36vmJHweQdhbIWunSTHuyfrgOliNwGVnnP8itxjfZMWW lqsTEO6X9/by5RKctfheZfKOAJ/Z0a0VQmVo9TKu7eL6OvBK/to5cfkNJp24 bXpapg6SqwaGDfLe4DjFq8N2Zx3080aLTX15g94B+zt3n6iDe7v2CXy2rcBQ 89ke7tw6CBmt5mmBSqxm7B9INK0HW5dNmv+IV6OC2dxU/f0GiBc/qHoigECJ QEOdMykN4MAuPq2STKBQbvJ9vvIGSE1b0JGqJ3CVx0LdbLwBHolVJ3jz1mIX UX5xRLsRDKuTjdviavG6RhDr1+dGKCOzzzlW1uE7QRER9b3NMO/UVrQg1YhX 3/0D8T9bIClG12rgWCsKqJd+buFpBcYouXHYrxXTIzTCf0u2wg/O3AYytRW7 TTd/dDzYCu19tWnpi62o2iZyUSG2Fdal9BV4JrXhaDMts2hXG6T1ZaxdorWj YW2GQMf1djAon0qezetEsRLhEXb2TtBSZxhqN/Vg2bh+e6deD9ywa7ZRZnzE Oo+nf9t974VjhkaG3eJjuKi4WzDX6wPURGZ9mLrwGTlWcoT+VhiAjZu06mKK v6EW6VRmkTcE+x+wJJlCdGwP3vGuSWUURD+OXaf/+oHS0TMrWXOfoIeVuMp3 eglnlkdH+jTGARd7eqkDK5j+rbJVIHICOGVlbk+OMlFA6gVtcnIS8vWdTdPX sxPhZ0tPJ8t/AYnCx2JKmzmJpb05k+6BX6Hd6kicxwMu4pJmQ4lo/RRoj84a PFngJkbzGu53y3yDc8Ifjo284iN+e/QmKl+fgY0L4W+WAtYTqvu4Wacrv4N1 6eqjTGkhwjBV5kyh2Bzsq00ffJcvTOyIF1BskpyDlhgzp7elwsSmyN+TAzJz UNuu/LWuUphY9etzWaM2B/weDr8rmoWJXLNQR5u9c/DLrnV3+agwQWWft2K6 z8EewRaVT4IUYvQkccCoYg78O80yFi5QiHarXE5HnAPjbee811+lEK9NEup8 G+YgbDlfVymAQjzcdWlv0rs5cCusHHAKpRAHBZX0aONz4DMwqDmSQiFyaqK2 P+anwRI7mPC+pxBXpU7KjjnQID8zWlJGi0q4HNOwHnKmwUuj+UFdPSpx5A57 2IfTNAgWuvjIZj+VUJxOm++4QIOvvAPfHhyhEr0lU0RFMA2O5uzUpZyhEhqm vidjXtGg8KWcy754KiEZqP8oqpAGg6GxaeeeUQnuIpHmsDIaTEWqDMemU4kR sXL1IIIGOWvKtOkFVCJ84jfTq5cG/c/sH+S1UIlroh3bzn6kgcTz/kefOqmE q9GzU24jNNhTfzGS2k8ldPL3dthP0WD7VWHPG+N//I0Ls1vP0oCDm3K0aIpK CG+Y2GH2gwbFFdtVpueoBMOwxN10mQaGD68wNy1SianrIUmGDBpgxMBbu99U 4pu1qnsKGx1CV+/e8WRRCSc6lUOakw5+e1J3b/9FJfpDGYlJXHQ4nDlCW52n EiZyn3dK8NBhraZeQv0MlSCqOjrj+OiQOlahF/GZSmhZl53dsJ4O0qX2H2xG qYRs6L9PhSh0qGtm/qT1UIl42Qu7IkXoMLWW/Vp1O5UQqLLt5hejw4+zCgv3 m6jEypwyF7ckHfITu7tVK6hEl2W7J1OBDu255RpXU6iE2ncr/g+H6aDmtrYW gEq8tjTFsGN0cHL8Nftcm0roV++/uMeCDpwp9D3smlTCPnLrYIYtHaLJBdNm eSoRqsGbc8mVDg0yBuLOfFTiy6UqY4ofHbJWxS629VGIZKZs2OF0Ohxn+aj6 e1EIqiCdp2H1Dz9M5hkkCxNrMDFfLmke3L5lcgRsESLO7aj8yGvyA2J3HS+T P76eyDFySa5Z+gEUt+mlzAg+YnFGQuhL7AKIl1JhVIiHKLUw5Iw58BMuGNm1 FgdxEYGHQp6XfPnDbUmqDXASMsPG/6WFLILdcJ79nc3shM6u4BhxzSWgGCwE 0nlZ6LCxc4X9/RJYmu73jzi6ioutEeMXgpah/07YD9vwJYxf43jJXP4XtL4t YGczXUDqSGkqR8MvkBg6tuGjPR25AoIs//FZgZZUv8zYT9+QLcsxf5yyCqe2 xjfpLHxG34T8CErdKrgvuc+6q41hteo9HuHzv0G7c87F/O8BFDb2VbstwIAd mvYu897vMblWkF9HmAEz3TnB6lbvUeOf3Ol5KgP4sz5I39R5j0eUpjKdxRlQ yawmLLneY9haR5l98gz4d2/jq9HEHlxTbyTKpsOACtWaLZ7t3bikK8N28xQD ZuPt3p/U7cKhLV3v/aoYYJHkZe+a0orPZ4QDOJEBjiNGNbzXWtEly0IxopYB j/VuWXUdacVp+Q/XkpsYcOXwb6kaRgsu/T0i1dzFgBO1KmKS9i0ozPf9jMjn P/r589ljEm/R4As3I289E0J8wy0flTQib7pRhrYQE0R0XsntjWrEduf7R+oo TOiQUlRc79GIFsMCKX1iTHj9j1Ij96ZGdOrdYMCQYcKr+lPnAiMa0L9OLtpI iwmt0k22187XY8EzkJ90ZILKyt/l0YdqceH6ArezMxPi0qu1ZzbXopbNi5lh VyaI7mt/5cZdi5WCgsUf3Jlgd1jDs6SJwKZbI/vafJmQV0Q91GxA4KBLwMmi u0wodo6auvSkBtdurky4lceE6cW3ermjFWjE6X2TWcCEEw8ODW7MrMDwUVmX 68VM+CWQ6vjOswKF48OUL71mQlHBOPXr6huU5LV/faaOCW8jErRJ8TeoOfOr 70g/E0bzJj1aXcvxRL6WsBSLCQ3h477tCiVYZv9LoIuNBXzRFNk6WjEKrK1Y d4eTBUVXXF+xVRQj4bCbZ5qHBe9mz5jbHi1GWb4DZAmVBbQ7vyd8Aorwi5vZ rKkyC/SPHpY68rUAz0t4ttywZMGxBq1uq4kcbGrc0rzVhgWU553LV0NzUNqH 1jBuxwLLvdm9qho52NXsSxw6yYLBfvnCQ4HZqHnZr1zEgwW+FlsXreWzcLnz bsarQBYkhz3JagzNxFshKUFD2SxImq+rn6lNwfVXuY2dc1mQJbOxgy8wBRPc vShf8lmwOyOs7KXen31o8k8arYQF1Bdxys5vkvGLcHcDB7JgTplTJtTnOZo8 Y+NRfs+CvTtU6rOfJeJ/Uae7cvtYoMXF/1+DUiK6BbXHa/7HAvcAgdyh4gS8 6RavrDfMgniXgDiujidYoKJhcvQrC1bYf3vp8cejaPnJyMu/WUB/eFlmT3kM pr1stF5lsqC+95b2DrMY1EhQlQ5kIyGtOk9Q6fsjNApYzr/HRUJZsC+LR+ER 3tCP6k4UJMH665Ph/NQHON5ZI1InR4I5q/OAXGIEetfKDxsoklDoqnu1eS4c GUVhGW1KJKiJfVc+cyAcN8Raa/VtIaHcXUroyWIYHnKYs5naRUJPCY42ed/D 3CmpRAFTEtx/cIQb19/Be09DnEaOkBAX1njZU/EOupnPKuSZkXDqefjbteG3 UbKqquCwDQlhoJSV7hiEYVHHm8JdSEguUcnl07+Jpw/U33c4RcLaomWhPo0A 3L+iYqbmToJEVodBtNwNXHFZHWzzIiE3OEbpo9h1dNd6Ms/nR8JzWkRDie4V PDDDVj7gT8KNitTXXGaXUTrZ/Ub2TRJsA4mbhucuYT+vNrdxMAnNi6JBT/N8 8eBwv2RoFAmcW05WKY6dx00P94zbPiRBw/Gvxj57L2QYZL5QekyC+u0Jn9Mj 57Ck4LLm2wQSDNPzy9U4z6JssMgh7kwS2sykf5rWuyJL+8b6Dy9JsJNyl+IN d8GPsxM9mTkkFAzVfct0dMZom+ITBoUkcHg4TAjoO6Lnur/lREv+5E0KsI6R c8BDtbenPpf98VdSJzwsZo+kivnFkCoSVBJfO73WtcaB0TfaVkgCup/9aXzO EstiZFjydSSckdzTlZxnjudZ9HsNzSSMe2cSamNH0LjY9khMKwnpsFnZc8QE FdwJqlsHCSPDNBlNTiMc6o56xvmehPAg2wazen18fXfZ9X0fCZL//vLKcdyH MbonldP+I+FoCXFUTH8PXqA3zfkOkuCwKD05KaaDJhnqJftHSMjrEXiCulqo aB/rRxkjocY44vyLPE3kEGTtGZ8g4fNrrRbtMXUcqT+1pugLCdoU3yU9TmWs uNbREjRNwtWUdrfj9XIYu2VnlNl3EvZ3hCsp6W9En/EkSxkaCQJNNbzvdEXR NG6NxPw8CUkWjgPHxgRQydRzlPhJQvBsZcb5ek5cw96bHr38p68atZlvuks1 n0p1PZxWSbBJKdv8uH6ipsojbasGkwSuGEm18fr6mjhp/kWSJOH//5f/ASzU GzE= "]]}, Annotation[#, "Charting`Private`Tag$6491#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw1WHdYzY//bWjTpk99Sm630pKERPFClIaRdpIWkmjgQ1JEobSQSkKbpL1o vd51G1oaKjQ1UFL3Jk333vfX74/fX+c5f5znOec5/5znUFy8jp7k4uDgkObk 4Pg/NDk53kFMnNxVxlSo6qkWr1xhIOM9JL0PuKwcwoTvt1Vtfh6fWChtCVfJ 9rHgaHrVmKxi0GVlR2Ax2me0qjnRtPVjwVNpN0jo9xffHS2CiuFy6aT8GYi+ kXDwxct/kGniGuesfB7SpUgFqWoK/gjuqnWO9YGdAVv87NVU0MZtofKB9EUQ 8TmXKRe9EWsNZEppif9B1FKXndbSZtSi7sz7Le8Hbzjmmu+/1MVELqdMpVR/ +NK2Rn1zz07kH7mZYq0cCBKbn+oJVu/Bsi+drTTLG1A3vPGTTM8+9D7iZuIQ GwQ8Fw3OmqodwIGNdwwipIPhzN6piyujD2PM838IpWMhkI7Vl963m6OJyCv9 qsTb0H/44GvlJQssmW7ZSpcPhaQ6JaE7L23R09Gx4I5zGGhm+W6O2ngMFd7T Ndel3oNgLg6b9T3HMTJbXMVcORLmuaYbuKudcb9cWtrE6Sg4YPeo84WBKwbW J4hWW0ZD4Hh/r0SPG27R0Yiwi70PsflmYwZq7pi0+vDtMOkYEJrO6eWO9kL/ 1rha67IYqODRmLjwzhutQ75wUY89grG89tHGdh9cOedzvTwxFswdwropSxfw SlfMlZ/yj+EnP74KenkFLcIHSt4Qj0HLX/KpxLgfau5Tngt2ToA0gR2RoRv9 cayw1Ecu9Qk4X5vzpPQEoPnDXo9Dys8gvm9NJEd1EGqYUjNlGp6BPe/Nm3Y3 biI/t+f3b6efgz9Y/ZdmcAtPvGXno2USnOrf7CDaE4yrVaM1bWOToYLoWLdb 7S4G8ReuD5VOg61boiPIqChUM7p/t8A7DU6vPCvJdzQaO0O8Jvoa0kAtSnTi xGA0KnJrZGn+lw7XDF3X87LvYz0rTbOrMwO++69fVLSLwZWzsVvlwzNhkVP9 R1bgYyzedCn2wGgmbGLNv2jekICO3hYLPjtegUxo3U/9oQTMnRJ5Wzv+Cm4c 9RCSNE7Eo+N39T32vwbR152JMbrPMX7gqkExOwd27BS560VLwT2ydmmDVrlg jwLP721IxR/223j4s3OhOzTErz0+Fdf+9HPN3pAH9xc4/Lp809DrjI4SR38e eOrwpdRtyUBxt9yX6boFkL/HPNGMkYm2dsm5jJkiMGyYip9XyEd6n6Vgikwx /BmSjmw9mY+3HflPWhgUQ9xO62GlzHwsdPWSKYkphisNZLL9pgIUPr8zxH9b CWitWRPeZVSIdTc/2/MGlMLSs8PcghHFqP1ajFeWvwxWO84H+F8pw0bNOqdW rTJ4K6G+NbC5DJ3yr5QH2pXBfmFvEy75cowoGfIeflUGkp1qUZEN5ThOZPdl HCwHvxjXoNK1lfis2zh/08MKKFsxwm/6FVGIDHIwWovgYixwtGKiBuPP2Dhq GCKUGpR8t5OhoWKXhpPYeQQxL6XMraY03JX50bWvEoHHziT3RTYN32bGFpdq EhDul/Pu0qVanLL4WWH6ngCfqaGNZaL1aPUyrvnCqho4l/S9bfRSIyYev2l2 ilIDSRW9A4Y5jTgifq7VdmsN9AhES41/a0SvgL1tO4/XwN1te4S/2jZh6NGp Tr7sGggZquRvhGasZO7tfWJGA1uXddrbpVtRyXx6nHavFuKl96sfD2hHmetG O04n14IDp/SEWlI7imYn3RMsrYWU1NkdcrR2XOa30DQfqYWHUpUJXgId2E6U XhjUrQOjyiST5rgOvKoVxF78Wgcl5KuzjuWd+F5EUlJzdwPMODUXzMp14+X3 2yH+dyMkxuhZ9R7pRWHN4q+N/E3AHCLXDvj1YlqEVvgf2Sb4xZ1dS6b0YofZ +s+O+5ugpbs6NW2uF9WbJS8oxTbByuTuPM/EPhxqoGcUbGuG1O503nl6PxpV pwu3Xm0Bw9LxpKmcIZQqEhvk5GwDHU2mkW79CJaMGLS06XfCNbsGG1XmBNZ4 PP3X7mcXHDEyNuqQnsE55Z0i2ec+QlVk5sdx7znkWsoS/VepF9au06mJKVxG HdKpxCKnH/beZ8uyRDmIluAt7+vVhmDN5+GrjEUuQj56cilz+gt0sp8sC57i JSYXhga7tUYA5zq7JHoFiLQf5U3CkaPArUC5OTa0ihCWe0EfGxuDXANns7RV YkT4meJTSYrfQCb/kZTKeglifnfWmPv179BidSjO4/5q4qJ2bdEa2jjoDk0Z Pp6VIoZyau91UH7AWbGPRwZfyxB/PLqeqF6dhLWz4W/nA+QI9T187FPlP8G6 ePlhhvw6wiiFcjpfahr2VKf1vc+lEFvihZXrZaehMcbc6V0xhVgX+WeslzIN 1S2q32vKKcSyX7fLCo1pEPJw+FPWQCGyzUMdbXZPw6Jd087SIQohwTljxXKf hl0ijWpfRBSIoRPEPuOyafBvM0+f9VYgWqyyuR1xGkw2nfVadVmBeGOaUONb Ow1hC7l6KgEKxINtF3cnvp8Gt/zyXqdQBWK/iIo+fWQafHr7tAeTFYisqqjN j4ToMM8JpgIfFIjLcicUhh3okJsRLUvRoRIuR7Ss+53p8NJ4pk9Pn0ocusUZ 9vEUHYJFLzy02UsllCdSZ1q96fBdoPfH/UNUoqtonCgLpsPhrK164qephJaZ 74mY13TIf0l12RNPJWSvGzyMyqdDX2hs6tlnVIKvQLIhrIQO45FqA7FpVGJQ qlQziKBD1ooSXUYelQgf/cM610WHnmf293MaqcSVNa2bznymg8zznodf2qiE q/Gzk26DdNhFuxAp0UMlduTubrUfp8Pmy2Ke10b++hsR47SeogMXn/jhgnEq IbZ6dIv5LzoUlm1Wm5imEkyjInezBToYPfiPtW6OSoxfDUk0YtIBI3rf2f2h Ej+s1d2TORgQunz7liebSjgxJLjkuRngtytl5+ZFKtETynySyMOAgxmD9OUZ KmFK/bpVhp8BvNr6CbRJKkFUtLbFCTIgZbhMP+IrldCxLjmzehUD5IvtP9oM UQmF0DtPRcUZUNPA+k3vpBLxCt7bIiUZMM7LeaWyhUoIV9h2CEkx4NcZpdl7 9VRiaVqVh0+WAblPOjrUy6hEu2WLJ0uJAS3ZpVqXk6mExk8roY8HGaDhxlsN QCXeWJph2BEGODkuTj3XpRIGlXsv7LJgAHcyYxenNpWwj9zYl27LgGhy1qxB kUqEaglkXXRlQC3FUNpZkEp8u1hhIu7HgMxlqQvN3QpEEksh7GAaA46xfdT9 zykQEiIM/trlv/wgmWOYRCFW4JNcauIMuP3I4ArYsI44u6X8s4DpL4jddqxE 8ZgckWXsklQ1/wvE3SbmMyJkiLlJGdFvsbMgXSwBQ6L/EMUWRtwx+36Dt7Fd U2HQauL6gZDnRd/+cltSwgYkCMqAyafUkDmwG8ixv7VejNixLThGWnsexA1n rzMEhAmHtW1LnB/mwdJsr3/EYUFirilixDtoAXpuhf2yDecl4lc4XjyquAhN 7/I4Ocy4CYnB4hSu2kWQ6T+y+rM9B8ETEGS53WcJGlP8MmK/LCNHpmPuiPgy nNwYX79jdg59E3IjxGuWwX3efcpdYwYr1e/yi53/A7pt0y5H//2BYia+GjeF mbBF295lxmsUk6pFhHaIMWGyIytY02oUtbZnT8xIMEEo86N84I5RPKQynuEs zYRyViVhyTOKYbyOlD2KTLizu+710JMRXEEzXsOxgwll6lUbPFuGcV6PwhF4 kglT8XYfTuh9wf4N7R/8KphgkXjO3jW5F59PigVwIxMcB42rBK70okumhXJE NRMe6d+waj/UixOKH68k1TPhv4N/5KqYn3H+30G5hnYmHK9Wk5K1/4xigj9P S379q585/2pY5hMafuNj5qxiQYhvuOXDom4USDNO1xVlgeSO19TdUd3Y4nzv UI04C1rllJVXeXSjxYBwcrcUC95sV6njW9eNTl2rDZkUFrymnTx7PaIL/Wuo 0cY6LGiSr7e9cv4D5j0DxTFHFqgt/VsafaADZ6/O8jk7syAurVJ3cn0H6ti8 mBxwZcGaPS2v3fg6sFxEpPCjOwvsDmp5FtW3Y/2NwT3NvizIKZA40GDYjn0u AScKbrOg0Dlq/OLj98i7vjzhRg4LJube6WcPNaExt1cgK48Fx+8f6Fub0YTh QwouVwtZsCic4vjeswnF4sNUL75hQUHeiMT35UaUFbB/c7qGBe8iEnRJ6UbU nlzsPtTDgqGcMY8m1wY8nqsjJsdmQW34iG+LUi2W2C8Kt3OwQTBaXKGGTkNh 3rKVt7jZUPCf62uOMhoSDjv5J/jZ8H7q9FHbwzRUENxHFkmwgX7rz6hPQA1+ czOfMlNlg8Hhg3KHvhN4Xsaz8ZolG47U6nRYjZZjfd2Gho02bBB/3rZwObQc 5X3otSN2bLDc/apLXasc2xt8iQMn2NDXo5h/4HoZal/yK5X0YIOvxcY5a8W3 uNB2O/31dTYkhT3OrAstwRshyUH9r9iQOFNDm6zOx1WX+Uycs9mQSVnbKng9 HxPcz4l/y2XDzvSwkpf6f/eh6fZUehEbJF7EqTq/zcNvYh21XMiGaVVuSqhP Lpo+4+BX/cCG3VvUaK+eZeGnqFPt2d1s0OER+lSrkoVuQS3x2p/Y4B4gnN1f +AoD3eJV9QfYEO8SEMfTmol5alqmh7+zYYnzzzl9oZe4pvRE5KU/bGA8uETZ VZqGqS/rrJdZbKB13dDdYp6GWgnq8tc5SEitzBFR+ZmKxgELuXd5SCgJ9mXz K6XiNYOojiciJFh/fzyQm5KMI21VkjVUEo6y2/ZRnzxFr2rFAUNlEvJd9S43 TCcisyAsvVmFBA2pn6qn9yXi6lhrne4NJJS6y4k+nkvAAw7TNuPbSOgswqF6 r3jMHpd7ImxGgvsvrnAT2kO8+zTEafAQCXFhdZc8lR+i29EppRxzEk4+D3/H G/4AZSsq8g7akBAGKplpjvcxLOpYfbgLCUlFatmCBpF4ah/tnsNJEngLFkS7 tSJw75KauYY7CTKZrYbR1HBcclnuaz5HQnZwjMpnqTB013k8I+hHwnN6RG2R 3m3cN8lR2utPwrWylDc85iEon+R+7VUgCbbXiUCjs8HYI6DLZxJMQsPcmqCn OTdx/0CPbGgUCdwbTlQoDwfiuge7RmwfkKDl+E9dt30AMg0zXqg8IkHz5qjP qUF/LMq7pP0ugQSjtNxSDW4/VAiWPMCXQUKzufxvM9oFZOteW/XxJQl2cu5y AuG++HlqtDMji4S8/pofGY4+GG1TeNwwnwQuD4dRYYPz6LnyX+qaor95EwOs Y6ieeKD65vjXkr/+imrEBqQ8kFQ7eiGkggS1J2+c3uidwt6ht7pWSAK6n/lt ctYNS2IobMUaEk7L7mpPynHB82zG3doGEka8MgiNYUc0KbQ9FNNEQhqsV/Uc PIZK7oSEWysJgwN0ija3HfZ3RD3j/kBCeJBtrTnNAt/cXnD90E2C7J3Fc1mO 5hijd0I19RMJh4uIw1IGh9CbUT/t20eCw5z82JiUCZqmaxbtHSQhp1P4MeoZ orJ9rJ/4MAlVJhHnX+TsRS4R9q6RURK+vtFp1B3ehYO0kysKvpGgK+47r8+9 HcuutDYGTZBwObnF7RhtM8Zu2Bpl/pOEva3hKioGmugzkmhJoZMgXF8l8F5P Gc3iVsjMzJCQaOHYe2R4LaqYeQ4Rv0kInipPP0+TwBWcXWnRC3/7qtKY/KHH i1+K9TyclkmwSS5Z/4g2W1XhkbpRi0UCT4ysxgjtQ1WcvNAcSZLw///L/wBy hh/O "]]}, Annotation[#, "Charting`Private`Tag$6491#3"]& ]}, {}, {}}}, InsetBox[ TemplateBox[{"\"U=5\"","\"U=10\"","\"U=20\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*SubscriptBox[\\(E\\), \\(c\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-8., FormBox[ RowBox[{"-", "8"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-6., FormBox[ RowBox[{"-", "6"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-4., FormBox[ RowBox[{"-", "4"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {-9.04982805264164, 0.0001254916798991701}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, -1.0776619596697401`*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}, { 0.00036432384925595316`, -3.949198301711476*^-8}}], Line[CompressedData[" 1:eJwV1Hk4VlsXAPAThVRmDa4GJaVRKlRuS3NChYrcyJShL7MGiigzSZJcU0Ih GTJPtczdzIlmKoQM7zkkvOdF3+6v8/yevfbaa+2z95Yzd9A7x0dR1JJZFPXn +z7XMLTEJRko6o3SnX5zlOffkL7p0iOgxPIuXp9zDmunkze1tT4GSi2m96Go DTqo37w9rZgCVMuVie8fbXDxVTNGwfuPf61JT7NF28mlOW6bU4H6Khn0Qvd/ OP9n5PblIWlAMcflNzfYY/6Wi5GHu4m/eqon5jqgiaP+hNPOJ0AlZF0/fswR s4ZFi6v7if9TXJMETqjXH6B+/sBToDQcV6dud8GoDvd9+TOZQK34tSjt8mXc I3s6ufNkFsnPv4pP6AoOGKnOEcogDltipRh9BZcNuVlkbMwGSv2WcU+VGzrY qqymPhNXn1q7eOM1lLDMSn2klgOUn42IbboXGp5+mMWM5AG17qbcPF8/pD+d EE6UyQdqfO/Gkm4/9DMROqe/jzg0Pkl1nz/mWjjIFEQQv7i/J352AIrY/+17 VbUAqJLqQ0vvBGLNjQ9GAh6FQBn948ltCUHlp+ICskIlQEV2DNiM38FXm2pM G5WIM/mtUDkcTZ9dKfU8TexiccvTIRxvFXxx/PaE+OdFAdWBcOwvz/j0WKcU qDj5pDs9dzG+XfPZlrtlQJmu2fZr6B7O++195tAyBGr9WF2GdjRG2RqYbDhI fM6NrygiGuXbNpiK2xMHPK9d0xGNu9PeWXx6Tvzg8gI1hxgsTovML9xUDpSz nqpsVCwO6w+VaTURf7b9MjEVjydT79e7LKgEL4N5C8PmJmKs8Q1tKzlijb/W /tyaiF0Sdo2G2yuB8jE5HmiSiA4ee5v/NibjtV6DR/MSMVBvuFUwgzi4+gaY J+Hzqb0fY7SrgMq2ait8mYyrdTn9VcHV4KU4VChWnIIy1w/ttH5YDZTqpu6Z 4RQUy0gIFi4kXiRpq7gqFVkh/U26XSR+2abgraGp2FJe6NKpVgPU6RF9Wes0 dFfynpn8Thw4b9ce+XRsEpWS2qTxEry+P5L9Vp+Jl5t2QNTYK9AoW3rjpE0u imzK//5KqA4oQ/dR6YBcTL6lFMKTrQONpI5KJiUXX2uv+WByoA68psdu/urL xfX1Ui6rI+sgIe1JwC7bPPzykn6co1oPGq8uJxQ75uOhikcije4NUM6X1uJx txAX5Yl3zprVDKZhyr+XrS3DMyG8Ez0Lm+Hrxe1vM3TLMNHye33thmYo74bY f66W4Qbp4uJgw2agtqT/lGwuw72XTO9JZzfDis51VROXn6NKrMHjiM0tYJrU cCW4+QWamTw2Tu1sAaZUvoyuK8eCrn0NzeqtsOJ/ZhlBWIWV5+P+Oj3UBivW ly8Zgzr8pfC3aIbdOwjzaFFWD29BPm662F+rP4JG4J4e2Yo2VPltWqCf+RnW /ogINZH4gA0+25pq132Bw5Gh6vWZHbg8bJCbxvkK6ijzNDHkGw5OfOlsV+qC sFiZE877ejB5oLROJLQbGrYV2wVb9aHI0hS6p6cHTgiK6Lk8GcAQ23yrBPle sPS7X/3t8zCOa6T32Fzvgysyiq5fyxh0Va7OW1jVD/lqg++S3UfxS2Z18Gu5 AWjZo1H40HoMeefbYhTdB6FWaERioc44rt8jOGNVOgRz3f4nJSQwidlP0te8 Lx+CwIBGY80Fk7hN6riuZu0QdGk3rQiQmkT1vqjk9a+H4IjT6h/TKyfx6K11 WkzvEIS1th1/BZPo/EEnyk1iGEy05M62X5nEYqcI5RDbYbiX/1eBdf8k7v6k dmbafhh27srR0KAnsXJ/h6+96zDIqGGE1Pgk1i1S+HD8+jC8zTfXz+bn4ufn hdel7w2DaWutUs4yLlLCnxriy4fhs7O/f5M+Fw8lylk/W8Qh/QdZNRVzcVuU iEKtLAeGlIZlbyMXV4Tyej7KceDSyMs4zRousm7t5rM3cEDiVtX99BYuZugG mhhocODmNWfPFX1clJw1cnLahgOpy+e350mwSE10SEnYcyDES3Nm9mIWh4bq 3ii4cODUDTspnaUs1r5P1j3uwYF1P2Pdqtew6JZtqJN0hwO9i/+T1VZn8cvZ 8v2aJRwYLSqojLFgseFkBr8JcuA394WLoQ2LRVrRlc7VHHh//4i7sB2L4aqu GrFNHLBp31Khc4nFA6Jr1ekuDlTn6gVpBbCoPEeax9/PAZ/KrL0ZISwu480q WTzMASPZHY/57rA42ftJde8EBypr3G/6/8ti+ovbW+/No6HpSfa30TQWo/Ku jaaJ0aCzsfHgYAaLPk9sn72QpmH3gqSz7c9YNInct7l/OQ2GMapRHsUsittP rNu1jYZWmwadhf+xOGPR8+PYDhrOdzXdiKhnceD061TL3TRYCavJ8TWzWH0g XSH0MA2R0UrGT9pZvLz07MpvZ2h4ON+9b3UXi+bHlU59NqMhatePYcHvLB69 OSvonRUNlbLNAe/6WFT4kTTS6EjDfxX7tu8eZlFC9uLqVxdpcLU/lthGszh9 9ODpancajB4I/2MwymJbXn95iQ8NxfGalismWCzvKx7LD6TB2f+CqBWX9C8T vPZZKA2Z696WRvJYvOG1MSwliobghJrWwt8s2ufOVCXG0aARFxebMouHp3ub J+ISaTBZ3qbgzc9DJW3nsxFPaXi0/19NRoCHstf33b39jIb3dcY6vkI8FMyR ehlUQIPZjGs/nzAPR3u+s76lNLipHXprM4+HnYsKN3mX0yDWINJeMJ+HdUcC zK/V0DB3YvnjoQU8zPc4HXm5jgaFm0oiwqI8TMheV+fcTEPf2fh2ETEehnTz pu3aaAhwzvuPJb6ysHGL7QcaBFuHChvFeWihGX/OspOGnQmbr/hL8PDoNYd/ z3bToPRsQfcaSR7uzNJoNOqnoUZl/G0msUKX+KxTwzSEZVmpykrxUFy6e5vu KA161lLDDsRTh/JstCdo+PeHSG8acb+7b+yhKRpGv3yUriMeOLXe5iHFwEfa 52ILsSkjybecn4Fj2k/5nxO/DZyKiZ3DwO1mn+rbxFqrvm+XEWLgfkRLxWHi 8rLG5vvCDJivey3cT+pROVVgK72AgWtxSnl2xE/peP67ogxI53W9+0D6WRno HycmwUDM25mIDcRRKx1VQ6UYCFW7K2pF+hcpM3w9bxEDRQNOjn5kf3xO7vlf 4BIG6sIme26R/eRyFOcIyjLQ6PUm/poID+0DJB74LGNgyZLnb/TI/vfI8dT4 5BgIkd35XIz8n5YTDRemVzOQLKv7aP9cHh7k5AlcXcvAiRm7NaWCPCzzj0uY XMeAoXGEpQw5Dykl9m0/NzNgevDs1gg+cj5OGNg7KTMQkF3xTxbFw/BhEKK3 MRAhtOpC3gyLnivE1Qd2kH5pwZseLItjxdx2a3UGLshtXr93ksXz+l0O33eT /Hs3zIz8YvGkX27S130MeKxPtJcaYXHD0Ml573QYyNLT8LPrJe/HCW0MOs5A pU/6x5PdLO57vtdltz4DO7+XF6/9yqJR6OZPjwwZWBbPl3P7A4uBSnPTXS0Y yB7Z4WVH7m+va9kRCTcG9jXuDS9NZ9G5I2em5ioDv3pj291SyH07kJbj5slA t80W67VJLEotipT5dpOBpbU3MwyiyXrFDgNZoQykPEoYFyDvU8L0yiCdZAZY SZl3PaakXqslu2elMBA7x9Dg1T8sFjaJjualMXB6W8yJxFMsNj2YOi2bxcC2 8G8JytpkvT1vFQeLGbAoHlNtVSH1+wW+CmhmoLxt5pKqMIuSooxQNcvA3uY9 TNETLrY+D/LXnGbA7+al7uFkLoZfWC3Q/JuBFwOSa5Y+4KJEnRH/x9kjoG3h xD1/l9i3ZpoWGQH17HjF2qtcFONFj/61agSkLbQvhWhxcX7fgc8uWiMwLjaW 2943ibMxJmtV7AjkLu0ucFw4if/bVvphrtYoUPHjGoYq45iuaZ7wYnwUfOOy Iim9Mfw1KCPWG/kTiop8i4puj2K+/iH+iP1jUGKUZwrPGLx+2PdBXu8YrFhy wNZ2FgflOo68T/L9BZucbI1lWwdwp6pPxBLlcQiZEnFZ79+HZ5Y1c2e9GQfq 7aCu3YMe/FV3q8vRewIC5hc6tD35hlGzTVz15Cch6oeSp7FyJ0p25ifyVU9C eVrvlRz/DzjHw/vEDicupLJ+cv09bUilmWR1SbDQ0ru/5A23BZ2js25JVLLw 1TO43tG4Dp+vDxASt+eB12+ctfJ9Faq0LWoMd+SBUu1Y1q2KKsy+lnJHyoUH 1JFnmgLpVZjYWCuz+AoPGP0Ve5Z5VmGAw5yNy2/w4Kv/Ec0f8lWol3tDd2Mk mV9jKDTkWol9Oz2iNV/wwFGO/8LjZRUofsR5ww2RKaCOyXJ5W55jQoXovJ3i U1C+6+3i+ULPUWlHxo8RySkwHfu3YmdnGR5d2//YbMkUaHydn/0zqAyDBEzk 9siT+FVv57d9L8XZVZoLqZ0kvnW73LGHJTi+S47yPEfyC11S2LK5CD9vbHnj VjYFXih+5tnjXHwwKO7Bj2Rc4PeCp365aJ6mr3CrguQ7fMqmwioXf8i/u5JQ S9aL4Uqrr8nF8b86l75sIQ5N03NKy0Fx4SFrqe8kn9MStU85z/Bgr+BU5oJp 8NozMH0qNwvnJms+UhObBqqxY/CXWxY2mAUfrZQglg5ZVqeRhfodIg/bFxHT HsckmjPRtE364JQcsahngxwnA69WrgrTVCH57FWC1FWeYnY8yPeYEKdebTfi pOJP95+CZmbEeon+D8pSUcUgZbDDgszX7z+6KDgVS0VFc9/ZELfPW5ywNhVr vTr31DuT+HvyzgutUvCTucfZHD/irUIr7g08QoE1pdFemSReb750y5Ik1OR3 8JzOJuO9WvmunEQM+bLS3D33T73cHdpViSgeFaToWkT8N7f/rl0iys41KrKu /NPftce+1Q9ReXCy/ejbP/O7WpirCWicpSK+dIaM/yfYky4XiwVGkyIt1AxQ rlS+6esYFBEomX+Tn7gzKDnEOwbLz/wt9EOIWHC8QrM7GlcK7/+dJ0l88PdK w6f/Yq+l7rC2IrHmr9AXJ+6jvcyFV9dOEMcdqHedCcfamo0vNxsQS25Tmi4L x+VOdHXXaeIxDOddDceWl87lh88SF0vLG/HuoPJFt0Kp88T9v1XifofhRLPf o6fXiY/aKpqph6KX70Pvz0+IVwYUGFv544LLgkfMMog3HBD0FvTHaBs7id4s 4vmKb+zT/DBXa0cSnUdcF3shjfbFXvHX1XxILCB1476vD2rFU0KKb/7031St /s4b39+2asloJ65u+8j18UZL74Yo5ffEu509rm/1Rk/LKEX1DuIGgY7ucC/M XqekdayP2Mdlq0yBJy4sPBt6kUcc9uKFl5w7JqXWnGKniYc8Yn7cc0Ol6PXL r1O/gSo3L+ic54aaHhNZAXOIy1r3X5i6jNf23X4dI0qsXlkrzFzEruYXUpWr iC2lrSk5Z3SokO84qEDc1hdEZTrhVE7Qo/q1xBd8svzUnVA68pRK+0Ziyn7j KhNHPHyGY9CvSry4vm65tR1m9C+NEdEmvgK82zrWGBDna9p5lNimxGzghhVa 6g2vztT949ERXuk5lC0ry9YxIFYyKfp7hyUabLeo/2ZG3HJuV26gGf4fRSdE ag== "]], Line[{{0.018527738344276564`, -0.00041773003312695067`}, { 0.019628681609693666`, -0.0004756134233865339}, { 0.019628681609693666`, -0.0004756134233865339}}], Line[{{1.9730157104597952`, -0.0009689507773460448}, { 1.9752885790904147`, -0.0007964286977211188}, { 1.97771928062301, -0.0006332386697170053}, { 1.978481016556227, -0.0005851913233574493}, { 1.9787348917843108`, -0.000569226280091628}}], Line[{{1.9878216550560006`, -0.00016158173214630978`}, { 1.9892207977123333`, -0.00012246897415714203`}, { 1.989537286670859, -0.00011439626714672443`}, { 1.9897035508114822`, -0.00011015535555269906`}}], Line[{{0.004330457838550809, -0.000014846056192396873`}, { 0.005417489561734625, -0.000025033090059523033`}}], Line[{{0.014153764658858663`, -0.00022737018734630965`}, { 0.014805055429162054`, -0.0002517715721639391}}], Line[{{0.03276828218404136, -0.0014909980158881453`}, { 0.03877345108030803, -0.0021617249938721272`}}], Line[{{0.0018348523391296006`, -2.114628926688358*^-6}, { 0.002498553563646729, -4.068215166519451*^-6}}], Line[{{0.02178799830232559, -0.0006010566950802598}, { 0.022614659439428423`, -0.0006558439288847928}, { 0.024392215195720882`, -0.0007736520106362832}}], Line[{{1.9802174233346599`, -0.0004840306099309272}, { 1.9808195907502975`, -0.00045155375610930976`}}], Line[{{1.9914196500123493`, -0.00007251247711881348}, { 1.9928298177828574`, -0.00004811141956492034}, { 1.9931356869355459`, -0.00004334729392674319}, { 1.9933221566670647`, -0.0000406716808871721}}], Line[{{0.02634958893945713, -0.0009189416682389151}, { 0.026844438154139595`, -0.0009585319036565408}, { 0.027669001512152964`, -0.00102450080184191}}], Line[{{0.01625108857998861, -0.0003110981792965951}, { 0.017175101510522775`, -0.0003521572669962225}, { 0.01725222814019493, -0.0003557330701013939}}], Line[{{1.9972084509362389`, -5.2882394366889156`*^-6}, { 1.9979406775092352`, -2.5714605200732876`*^-6}, { 1.9988593097021097`, -7.088262592358363*^-7}, { 1.9993113835822163`, -1.8646039900140092`*^-7}, { 1.9999999591836735`, -1.0776584069560613`*^-8}}], Line[{{0.010452116315053678`, -0.00011400153348795072`}, { 0.010872106510641771`, -0.00012510978067086496`}, { 0.011449102014118605`, -0.0001403706337654853}}], Line[{{0.03060659187613595, -0.0012818095295781262`}, { 0.03149277197995973, -0.0013655199136426432`}}], Line[{{1.9626724852278754`, -0.001988084649893196}, { 1.9635202768839841`, -0.0018898709802890323`}}], Line[{{1.9837694148334848`, -0.0003099548666902763}, { 1.9848985602377929`, -0.0002633268495948471}, { 1.9855849874626057`, -0.0002369950434770729}, { 1.9859329599986912`, -0.00022422324607074273`}}], Line[{{1.9955463639725046`, -0.00001585620460942677}, { 1.9956089530489183`, -0.000015364263362110715`}}], Line[{{1.9824060028682993`, -0.00037186035634391115`}, { 1.982493904629403, -0.0003676419219766913}}], Line[{{1.9707098218150039`, -0.0011626808300713165`}, { 1.9711700157415382`, -0.001122502377022272}, { 1.9716526097143128`, -0.0010811816135953833`}}], Line[{{0.007984504445927354, -0.00006199057244988531}, { 0.00918978315958251, -0.00008489074555839693}, { 0.00918978315958251, -0.00008489074555839693}}], Line[{{1.9676892402150108`, -0.0014453103320670735`}, { 1.967755017501798, -0.0014388043978863507`}}], Line[{{0.02514923683282817, -0.0008282485598813949}, { 0.02514923683282817, -0.0008282485598813949}}], Line[{{0.012881336336973713`, -0.00018358894598602404`}, { 0.012881336336973713`, -0.00018358894598602404`}}], Line[{{1.9871838999539597`, -0.00018148180278032555`}, { 1.9871838999539597`, -0.00018148180278032555`}}], Line[{{0.0066929997658162575`, -0.000040885619287500674`}, { 0.006731228919568916, -0.00004142885161387505}}]}, "Charting`Private`Tag$6421#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1Xk4Vd0XB/CDihL3KA2vyFyURIlSbKIk8ipFZCaJogyJFIoyq5f8ZEpC Rbq3cg1RaydRMlVChJJ0i9xLRbj02/44z3k+z3eftdda/xx5V999hwUpihoh z+x7Q3e6puyGdETRQY2yYa7Q/7DspMzNDEQZxPHasTvsTe70sliVjaiWe0kG QkdBzUzxjlQd8WVr2TNKXiAidOzrwJHrJDe65mLuDU4VM/dhfw6iPobs38Y6 DktUL6sfTL2BqF1edze5n4QIkYerY/7JQ1RaV4XJyiBYY3Il+sEJ4tMufnm/ g+BNlO+3rjpikVPHqdenQUlIrUj9VD6iWBvtHiWHQO10nnrrmwJEnbAT3md6 Dhb+TN0kG38HUR2hRcO6F4CtGZi66zPxwoEPzbUXwPGE1fhJ3UJEDfnUl+2P BOYPRkUNh5hVvyfrVBTs40Rv89pxl+RGVS/eXIK07hAj9sw9REkbvP82FA+G 0rZ5PQeYiOLYtDpeS4DvdjpzRYqJL79J7zVJhJVDwW7F61hkf9UZc4uSwPeo tjL1gVhDa99v4yuwyJ15O3/zA0T1CJxZfSAFDtreYPJGShBVWPQpbGsGcLv2 L8iVYiPKwi3gaWEGXHQUOWxlROyTb/JdKhMeuvlKlaYQe9iNjkxngriPXtQZ nVJEbf+fTFdTNjw//95u3tkyRLX+kpOwuAEb7krMkxZ5hKitT9l+fvnwUv25 c6MG8VfPqqvl+eB8/3TlOVti+y366/7mQ0Jp74lPhcSH3F5WJBQABxd3Feyp RNQKkWRT1i3Ifmd6XzO5ClFz1njtEi0E0b8R9iYrAVGNoY8/L2dC2lEbR7Wd xKXlf355M0GpVc1ZwodYTYJ9Cpigf6fdresxsf753i8bWVBxJ5Vdpo4RZZi4 taeHBT+shqrMmjAK9+265YAewIHb/3vlL1aNqNr97Btr2JDpcN7cQ55Yn+mx 6RAb+hYdbzy4iXitwiWBeDb4nt3erOdAjASkjIbZELPvxxvhYuLg4lve7FJ4 zN/emWH+DIUfqLa2sigH5b3DnGdxNSh8fvvQhcJKkAoz0T1yowZRWX32nwYq gS7OiVtQRrxU0zZCsQomRazU9/YRi5ycjM6qghZc5t+z+TkK94uaKE15DCEa ETN/vhAHZBUnJgE0MSQl1Q3qULhTv+K1rqcQ1LQFpf16iSiXwGmtI7Ugrs7+ 8lKkHuFjy38oxdVCXoJG/JR0PaLMOQOazFp4bb76veOOepRjYDmRO14La19J +iunkvPSbemfYuqgt45b8EDnFZLL3NDZ8vAFmDzNF28MaUBy6Jx7kMwrWFYi 0SMg0Iw+nly9Y0SxBUr7jBqat71BBsjyH7PINqj2ylphO9SKDN7XySU2d8Pv VXqM4uPtCOu9tPOo6QPBiSJ6hXIn2qVzzFox4Cto/3Uutbr3ARlw7bJ0zYag IVKrqXZNL+rn7bUxquKB7OXBiTvDHxFP5LbgiRc/YXC8t+edRh+Snhzs+9sx BnnfK+vFEz+j0zoDvOEjkyAuc4vb39+PePWCtu/lZyD+KNsjR2kAlTgbbzn5 lcJjBkX9nmFf0evuC4X+lBAO2FBTsvQZB432P8vnL5yLe+/VxL2W/45Ycuyc rkPCeMqrNUM1ZBAtiDfgij2Yj9caCs94VA6hJ3pRK/s5otgkV/7I/WXDSFek LDfLRBxrpYmvqpUeRqHLGUq6luJYLnGqv1N+GFX8PlLw9qA4ngx+5zpHbRg9 MMfO00fFcfHeGEcbA5IfYPipxovjxQIjB6Y9h9G/QUusW5rFca8TNjZ9NIx0 bJlfUqwYuOFAsZAjDKMP/dM+1w8xcLlZerVfzTCqrh5dcdONgf/TCTDIbBpG zOJRyav+DLyDobKN2zeMPIfawmSSGbjoSdLGq6JclGdbrB/dwsBpJaGjd2gu 8jzkvU+kg4EjC4/ef7KEiwQ77Tad7WVgx1Sj9RxZLlKawJ1Gwwws4TO+ZqsW F9n3KltmzqVxkIyTwid7LuKINv6rLE9jV0sN6w8uXCS67kuOgxKNLS4IxLZ7 kPpeTYz41TRe9e3mSOMJLqJ+lZ17uY7GrSUc/CiSi7YXfXYo30Jj/LXiFzuG i5jL115I3kbjIqk4lfuJXFRhpmjqjGh8Pnzd5VtpXBQoWZfxypjGGuZ+Til3 uQio/3jNFjSWDjNKTrrPRVdDkwVl99JY+IFkXWwpF6Flv1NtrGjcs6xMPQJz 0eDbnafCbGhcvzvaNfQ5F017Rid429KYfdY2Naiei968u/RY9xCNc1hr6v2a ueh6h5vMoD2N4z9PTR9v5aLvH1BBiCONTy9t1Dz6noskFyrqfHWisZtp9mH3 Hi4yKWvKUHch84f6XnP6zEXSqm7/s3ClsS7ToNGOw0XaKP6nsRvZR5+EgPUP LjLfGp3CcKexxJLPWntHuSjly+Urd4n5JiWe5uNcFCEqaCl1mMackKhMEz4X SYFBtg3xd+u1njcoHjqwx7nejdiZt1hQVoiH1i33ZOkTt8XwMzLn8pCjkOVj Dqlnpvhlk5QID12IYgy4EuOqxub/LeAhxrbclHukH23r0qNLxHgotfp+YiPp 9y43WyiZwUNjr6Q6n5J5FGIuZdGLeEjrWm9ugjON0xRO6CRK8pCJdbvSRjK/ eNXB16LLeOiSn3R6iQONIw8Yesf8w0OVtL66JNnfxLDqXGFpHlo8mPvbyo7G PtGLrkeu5CGx5RacwIM07pef2iwoz0MqTM3eM9Y0btnfcGxamYf+7NDO1t1H 453DJfPOqPCQxrKpkLF/aVx1KSvnzxoeKuhbHJ25h8a3Hvm0/lzPQ1dkeSp3 d9H4nJzEtu9beGhyxzvdcT0aqw0dEG3fw0Nvdy+a4inTuHy/OcRa8pCzqlhE kAKNjR5v99e34qFg2pU5upLGdonru/IP8pD3enfBl8toHKMxvyjAjYfCkPhz gfk0Hgio2r0omId2PzEW+fKWgXOmFWL35PFQnRJHf8aCgRczeCI1kzykVuHp uUpTHM+BDKZi5ggynPCcvjkjir21Kt/PNxtF3l9qumKvzsdFpq45T8ZG0SHn HYO5hsL496AUPZD6E71N/jkyrTwXs61MhFKMf6F4zrmW7lFBHLYr6nrJwC80 kXX7RgyfwvLduztuRv1Gq9bxx3f+OwO6OpEp/2wYQ/F/VbBowiTYr2yeEHg7 hnBe4cFlhuPwuz6h70TEOCr/bLw6+PtPSJvjGLBP6Q/S0GqW05o3Aot72LmC NX+QSqiWcmfTEMw9G7F/y8kJ1MFockCZX4G648jsWzSJaF6gi//mz+CXzkxY VD2JcP8cw0xeNzxeGy0i4TOFLHUz73Cut4HEbj+18+J8RO+QWlpc0QI5Txmi uhJ88j/vusXIbQGNLcXfRhbzkaVWm9iF2BawUOEUuPzDR3JVfdaZh1ogdp6j vKESH+X8UsCa080w55npUkqXj/DH9uf+SU0wtlWeOneYnB/wcNrc+Ao+rGt5 G1xFXHr15IviWrg+KHFWCPjI4GHSwbiYWnC9Y7Uq4Sm5f57XNe/DtfBNqf10 Ti2pV3pKJVKmFsZW9MjUtRCXlwUvSXoOEguGjkh+4aNwqZtvy4NqYOeAMP+e 2DSipBrPCzhVw/w80/zN9DTCHnY+vvrV0OASZ1G9iOSfTjAnZarBqlv8xrtl JB9z1jza/RScW5fs5MuTfJeieoHDUzhTrXjZVJv4LOvddTcMrGyk1O84jcLH xDpkRR/Dz5Cfwi4uJLdb6ef3pgq0bW4NdrsRz9TaT1+rgkoG42G7J3GygHyV ahXUhvcYvvIj3xfbWXabVUKX61mnBxdJ/n0yvTi9AuatrkwPv0eszsdhrqVg KuR7bppFzM9v6dQohfheBdeQh8T28yR9/rJBIi1WNaCcWPW4pl4WG6Tn25Uf qSb1k+MLznaVwIbBP+8s2ki+TMX7outDcGBqS8jMkLzhivi9dBaU2v0Rb6Fm EPVjqujEMRaIz3u08ILQDAp3SNML1GcBttcT+SZCcqr2aHQtExQWGP8tWUy8 m3Vs1OkeDLjv/WGuSqwjJnimqAh8pI69DN1PDAtbdfMLoPb5urr1NsS3fYo2 2haA7EluTZ8t8ardz5hiBdBS54d3ORHHZqdrns6HDYHBZZJexE8+qx2yyoPx 5ov5d8OI2ZJPkEIuhEfdiPhQONuPnoWGcSaIBQnvdikm3j/j/6I1A9I9jy8a YBJ7zXgbeWTAQ7MtN7klxGsMr3yKS4cBidc1gkDcGdNR9SkNzLIpEdW3xIXr G3rLrkJHkkdL8Tti5/CBTOur4B7RkLahg7jvJ3PrWAqcc09T3dY923/vtMzm FGCt0TD79ytxW8RG/9r/YGmZU2LgFPHKbFtzsctw8/Zz68lp4iGPlVoBSaCR vlY2jPqLqAbzuZebE8H07Dgzei7xiz7/6LgECDVKep3BIHZe3xG4PA76mp9I VisSt9ysZFy8CL5Plbp3riLueK2UNhUF/Aex+a9UiDVUTbv9omBJqrX2u3XE AYZ3Mz0iYZf9sA1Hh7g8bOCr63ko5shkiJsTW/J3tdufheisKOcei9l6w6mF h0PBfd8P5Xt7iVXexzz3OwPSVVWsPTbEOe5yTdeCITbpUG2862w/ch8XrDgF HsbP4uwPE2OOGX9HIGyfWLNXzXN2njIFtcAAmHCd7Hp1fPa+tDbDj37gqX1t ZEEwsUH4ar03vmA8SJV1niEO18+q8PYB2RzP0MJzs/c1dGeIHYe2+ZuFd0fO 7uNSUKSXF+zobpOOSZrNXXLORx8Guf/0+w7+N+v3rHp3d+DvLLilcpWYFVVv Z+oGJazADS/SZ60SZ7jWBVjandvkconlLOxyNB3g/zqMigA= "]], Line[{{0.015412559489574392`, -0.0007538933711259688}, { 0.017175101510522775`, -0.0009542148904220227}, { 0.019628681609693666`, -0.0012748064025327466`}, { 0.020242076634486388`, -0.00136260853436454}, { 0.02085547165927911, -0.0014534903081528938`}, { 0.022082261708864556`, -0.0016445256083876814`}, { 0.024247277921402417`, -0.0020125121043904483`}}], Line[{{1.9800128763771412`, -0.0013257407364459795`}, { 1.980963633416411, -0.0011948829379663996`}, { 1.9814664241137292`, -0.0011256811534625655`}, { 1.982152851338542, -0.001037174693307108}, { 1.9835257057881674`, -0.0008715812575506021}, { 1.98421213301298, -0.0007944642775559174}, { 1.9848985602377929`, -0.0007211124235908528}, { 1.9855849874626057`, -0.0006515082860669708}, { 1.9862714146874185`, -0.0005856334224869642}, { 1.9869578419122313`, -0.0005234681989403356}, { 1.9869578419122313`, -0.0005234681989403356}}], Line[{{1.9946263552267767`, -0.00007391380195600209}, { 1.9951949686099844`, -0.00005703755724084658}, { 1.995881395834797, -0.000040282819549375404`}, { 1.9965678230596091`, -0.00002664657123752079}}], Line[{{1.9921023879292483`, -0.00017322672835895503`}, { 1.992449259710733, -0.0001567772939274903}, { 1.9930589692131917`, -0.000129988979438167}}], Line[{{1.9972542502844224`, -0.000016023220485550382`}, { 1.9972542502844224`, -0.000016023220485550382`}}], Line[{{0.010742476990142448`, -0.0003437290739702572}, { 0.012181771315412964`, -0.0004507551156933687}}], Line[{{1.9898585528143742`, -0.00030121668343419117`}, { 1.9907162405767167`, -0.00024797615004216306`}, { 1.9908268777251665`, -0.00024135893325372137`}}], Line[{{0.004929362547335268, -0.00006041294353664739}, { 0.00613399106425376, -0.00009864821185168182}, { 0.006747386089046483, -0.00012204352097100468`}, { 0.0070541304580072385`, -0.00013475443285848598`}}], Line[{{0.0030108407854104445`, -0.00001977638964945072}, { 0.0036538523432536356`, -0.00003071556145073373}}], Line[{{0.013457281519494598`, -0.0005606209773443283}, { 0.014165798916080448`, -0.0006276251659877544}}], Line[{{0.00012281403876088337`, -5.976158234943796*^-9}, { 0.0015077563834993003`, -4.027595128519579*^-6}}], Line[{{1.9787319017434, -0.0015163710807905688`}, { 1.9787373661730594`, -0.00151552089466378}}], Line[{{0.008032276164941007, -0.0001798642409100732}, { 0.008094635367353508, -0.0001829635680810071}}], Line[{{1.9994970648041506`, -3.033113635808604*^-7}, { 1.9999999591836735`, -1.7613646505765246`*^-6}}]}, "Charting`Private`Tag$6421#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 0.0001254916798991701}, { 0.0005432615057210687, -1.1332214420178843`*^-6}}], Line[CompressedData[" 1:eJwV1nk0Vd0bB/BjnuoaIhFxbijC623Q8FNbpcGQDCm8QjeFUtSrOboqlSG8 JW4ZIlPIkK4h5NnmkqkQEaGSkHvLEIV+uz/OOuuzvs/z7Gevdf44NMvb5pAg RVHfyPPnHX7sSHKcVQSiqKQbTwxdYbWh7k2HqP8QZWx35X9zLEhQ2H0tWCkS Ua50ipaWJ1xoiK7aW0zMXhdU3HIE9gb2Ci795w6iEk67RoV7wbyJE5dKYqMQ lSubpqrkA2dbI8+OqN0lXiX4TtYXbEO7C4owMf/SRzHmKdA30Zq4euAeoiIc WJ7rT8PHJ4UnVJNiyD7tQa1+Z8H6ducRS614cv7kzfP7/UDXfGm6ci2xFY2u pPmDuJDX5wH3+2Re4ZXGqUvg8nTuMexJQJSH5aq79gGgoB2hbx+ViKhe/sIM o6sQIP5kWZBSMtmnZ1aQGww6O/67kedDvHxzpGNqCLwO9P7SVUss81FZIC4U NIR0M/VPp5D9AldvjA6Dmtlk/dbXqWQf1/3Y5T+YNxa1Ri00HVHijNxXvDuQ //epqJ0fiEdOhNwOiQJnH9sfJzZkEOfnsrWjIeer9NOqQWIrt6TuoxywGbxh dGTbI3J+r3OaZAxwus9vzZ/LRpTlsgtW9gmwWcUhuccuB1FRHt5RhQkw5LhW RDyLWJnFGlNMhCUj5w5m6eUiKrLn5veuRPD2NNSk3hEL7/sodiIJ5NxyHqas y0OUv/dIbFMq2Dsk5vC/cRH10L26zTkbeF17JB8o5yNq8M3Y8Y5suOYsfsh2 K3Hj/eEZmxx4ctBbuSCSWHdh1gXNXGAc3xh4YW0BomqrI1YtfQzVl986ivoV IqpKpTB2zRNY+UhWVEW8GFFZJ3WOFxTCC/1q1wYDYpl3jWGCReD6+GyJvwPx 13Eznd1FcLPgvU9fBvG8vLZXX4pgEGd1pe4qQVTa0JUPGsUQ32b6+O/bpYhy p+8tyCsFqd8BTjuWAGKbxfb+I18OHM99zrrbAVFvUfOazeWg0arrKnucWDb7 q9nxctiU3n6w6xmp3x+Wr/WiHJ6mR+UX6mPEjjW9lRxQAV9tR0rNG4mzNm8q nq0Eu4fRL/+dX4GodXKvbZi1ELv/ssVhmtjdhRG5txb65Y412K+pQGxuZ4RM SC14+21p2rif5A6NR0rGayHI5utrsSziE4FXOuqew7OZLZ0xFpWIvX79c4PL daBpPTpYGVKFKG6Y8X7VRlC+tGODeyLxhYZCJedGkMlKCJEsJB6NFVC53wg/ xW31rfuJGROM73QTNOPCf3vWVSN8R1v6pEIznDcImJv6RLz6zv/4Gq+gUVpe Xt+4FlGVMr5LnFvgTON6xBl/gdQtHfvM1ncAQz//0wvxOtQb43Y7xaUDkm8a hP5SqUOU1NP8Jdc64JXFsrfO2+oQ7j1o7tXSASteyv+rGVWHXK+VlPh6v4X3 tbzUvLUvkbq1W8GGrE7YUZ7CaDhfj6h/RrRjUDcocmV7BASaEH+wKO6NSx8U 9G+tbzJ6jZr1qtvytAah4kjcYoeRVqQ+MuZX84EHE1obpbOOtaPliwVV8yXG QXA6U2axZidafrGqM52aBsPfrgW22e8Qh079ZELPQf3V1Y01Ou/Ro4ca37sb BbBaxPB0+mgvqr8euNBWUgQP/3jf02bQj1Ry20f8zcVx8lBJHSPsA9opWywd Lz8PM1TTeB8/fkQTtXsPU2IyONQz/3CCxgAyMi8adp+TxZPGmR89Ln1Ga7hX Ju2RPPZdWcVdWDmI8KoXd0VOL8Tvs6tCXtFDyPbAPFez6UX415HWGO3zw8im MLN2XuhivGKz2NzhkhG0OJatoyG2BO94QLs/VhxFP3+oHQ1jqePVHIZWjcoo qg6u88p2V8fqYb8+dtKjyDe3a2mjlzr+ea6NJaw7ivRd/OPmnVHHWdZBzvuM R1Fx9LhmYIg6XiDwzW7WYxQhm4JNLlx1/N4Fm5gWj6IFbYzVl0VoXG+XJeQM o2gWx1mESNK4yPxexcmqUZSqwJW6LU3jW2t9jWMbR9H78TUm8Uo03ia93IjX P4r4tZ+HE/VonFkWvuqOFA/1D3YqWtrR+IyqC7PPiYdeu1RM+T2gMcvKYO+7 Azy0M9byq0IajS2vCAS3H+Yh59zJoIeZNNb6kvStwYeHytX1rpZyadzKHcTF V3nIXNP8+J0aGuPPT8fzg3jo+74jT6bqyHnKIcsfh/FQxuMuJ9smGl9m60Wk cXiopi/WeaSdxgYWJ10iH/GQYflKFD1IY5VLW2+HP+ahSoFIkYQRGovlydcG F/CQgMVUGodP4x7FQv0AzEM/y3Se2EzRuM7sButiNQ+ZWIyNSc/QON/PIepM HQ/96uBHc3/TOPTDr9ljrTy07KC+faooE59d2PC351se2iO8K2RIgokPmsYf cuvhobsb5IuE5jOx5UXvuy4feGhod07NF2km3pBj3OA4yEOtjSvEbskxsVa/ rMDerzzkJewoNyrPxLIKH1Zbf+ehPtYL46GFTDyzg+th8YOHDP66p+m1iIkH zwfG7pjhISmmxVFbJSYe2rvCI5HiozcSAjJXiF35CwTVhPjI/LBayRipfxM0 ExMrwkcGvhPTTxWZ2HzppzXK4nzkYS1/dFKBiXFpQ1O0JB+JGKt31ixgYsO9 BZ4K8/moVNJm6RZZJn7Eixe6LU364+ZLn2MwMTPoepyMHB9pfNowdUaKiTlM n7Vh8nykxdGkd4ozMaPU/pWUIh81jTkn8IWZeHpUW0RMhY+iD53LeD9L4+Y9 9V6zmnwUKhc1nzNK4+2jXNELy/loyOE1I3qIxqXX4xKmdPjI56BO+rUBGqcV H28d+4uPgsyyyox6aOyvLms0tJ6Pkt3K1dUbaKw7YifVvouPPiv+CLVPJ9/v HgsItuKj3JIoN5dkGm99tuXfTbZ8JLz7Lw3X+zR2DPurK8WejxZr78qyukPj IAOJTN+DZB+Nh10TbBoP+JaayZ3jo7Z7ngqX99E4YZYZvCuZjx7ln/2cJEjj BdJ88aqffFQppeBpaKeOhSEmZ2nsN3RZxYHVpLYEH11d8lbC/DsqUmdVHPNa jDNNWQllk99Ru9O7sph3i/DEsLLMQNQYurXLqkr9v4U433aHUKTJOHo2QTML DeTxpZ2B97kD42jT29QkYQU5THebdSQFTqBl0m/zt6rJ4A1rr0YqrZxEe/oS UzWN5mGnJU3TAi2TyN5PVJNZLI4n6m72+wT8QBoXZ9tO6ItgjrCzr43GFMrt m3lgrCqIF/TkPxCsmkLG7BIoejQHIn4Be9afmEa91n7HtFZMA5XunNMv9xMt Ck+7kHF1HE7ey7kpV/ET5a445uMpxIdnK26Iyx7/hSLGy94KmwyCrNlJ3cuM GURtnDPW/N0HCeXSUhtkiTUu/hYZ6AOD9Vlfvi2YQXiN4sGp+j6wXD6YekBp BrHd2pXkYvogWNSZ3qxB8pbG7Urr+kC40nQhtWEG5W5c+/D0qV6Y/B9N+R+a Qa72IuFdP7vhnV5zy7lSMn/34unYqx1wf1jWTwhI/+bmU/z9HcBKt9W6WT6D Eq47FLDWdsAXjfazCTUk9y67nDTUDpOLe1Rrm0n/y+AdUTbtICs54i7/iewj qHfKePkb2D4gNpM9fxaxdU9/SB1qAYlk05R1MrPI+FZlyevaFqg/EGJZITdL /mcC7FRTWsC2m5HYpkjq17yrZ7i2gGurwvYZmuTeJbWs9tdwoWJphKnhLMI2 V141vnwFufFI46MzyS1dHLyim2Ds/JjYgQPEto5amY5NYLgvbbj7IJlnXCSm uaQJSqSln7R7kPzZItG6lEaoYfdsfnmS5KJnBjoKG6CL5eeSd43kjyTfSnx+ CaLLSu6xs4lLyizyTzwHUyFv/9lc4gCzejuj5xD6nsk6/4T0H5ey/lvsOchy grV9i/7sW+5+N64WVCQci9wrSL56wVO9hhpYOTzVZvmGeJnZ/sNrq2F/jqGs 6hypd7xeJ7euAgocpxjN1Byi5PIE9UQrgCFaPO+KELHJCCe0tRyw00bxL+LE 5cpdi0+WA1PS5Dd3wRxiq6yKOp+LYcDN+quFNsmV7fO8fcvguLLXi4t7iP+R uGQl9BRqqvVq/9pHfI0T0J5bBGoneFX9DsSdFoODzkXQXHsS73Qh7r7WmlFa CCtPnSuUP0K8xbcmw78AfjRdS3l0iTjftCNahQvswMSAdxnE9UIb5dk5MP+M mNmBLOK5TAkn0Ry453FMbiCHODJ9+PbNbHhivj6JxyXm6ja0xGfBgOyrKkEg Prx//u36TDCPp8S1W4gfuViK2T2EjvDDzVltxBa31CyG0sAtoJ6zsoPY6I4X m50G/m4cbaNuYrzKsjAnFXJ1DMx3fyaerJlwUkqBhYUuYad+EVPKx/yUHkDS w+q9P2eJQ20DuM8SweDeCrVL1G9ENf/e1clKBFO/Hzk3RIh91rV/y0mAi1vD X8VIE9/w0InPiIf+pjL5iqXEVt02nnfvgne5Rvd2LWKNsm0Jvzkwkxec8nI5 cWzjwzx3DihE7TVs0yN2clvhuTEadjqN7htc+6ef07vodyRkDarGMCyIx89u c+6KgBtxga49lsS+wbc+W0WAm81XzWxr4p33Wy/8Fw4qpaW5u/YRc46qJ/rf hODwf2pCWcTiw1GSEUFw2KQyxOkQ8bo2oe77N2DLtI61rsef+5hcNeFeh2nW z66Xx/7k1YNNQ4HgYXj3m+Q5YpkqujLsMpgMU4WdF/7M/6GrXRkAagkeFzP8 idmKwktm2PBGYp2Y2VXi3Of1rj/8YVv3G5Wg8D/O2vGUdQ7Ub23qt79FHCEX +z/5szCzPTVt+Z0/91WSf9l4Gri5p1Y+v0fcyygVc/EFnnS6ok0SsXGZfjvf B/4Pcj6B8Q== "]], Line[{{0.00452245720771621, -0.00013391647778959737`}, { 0.005202492636691967, -0.00018143102566625657`}}], Line[{{1.9798784262276996`, -0.0032340100881427247`}, { 1.9814664241137292`, -0.0027211487292397862`}, { 1.982152851338542, -0.002513540224871491}, { 1.9835257057881674`, -0.0021237362621668865`}, { 1.98421213301298, -0.0019415066366939016`}, { 1.9848985602377929`, -0.0017676999589291142`}, { 1.9862714146874185`, -0.0014452748876649935`}, { 1.9863203252447044`, -0.001434405860763377}}], Line[{{1.9901429611325627`, -0.0007153893479987516}, { 1.9910764052611079`, -0.0005786047973366237}, { 1.9917628324859205`, -0.0004876183318600624}, { 1.992449259710733, -0.00040471447276857475`}, { 1.9926983404603376`, -0.0003766204870814249}}], Line[{{0.006478002840773599, -0.00029121158449285645`}, { 0.007366645677244187, -0.0003838488278873342}}], Line[{{1.9974703545401464`, -0.0000375508725518614}, { 1.9979406775092352`, -0.000023823608412243402`}, { 1.998627104734048, -9.637352953006939*^-6}, { 1.9986439433475665`, -9.389294085337951*^-6}}], Line[{{0.0012268308659119764`, -7.455414351653644*^-6}, { 0.001347697871437399, -9.247871915363248*^-6}}], Line[{{0.010591421511127732`, -0.0008336368522989801}, { 0.011275757186808948`, -0.0009522998043429709}}], Line[{{1.9948449131579624`, -0.00017787226610010975`}, { 1.9961948443360646`, -0.00009195658108396287}}], Line[{{0.012551267390890582`, -0.0011954085106928858`}, { 0.014657014629731107`, -0.0016596526210399531`}}], Line[{{0.00864215588132582, -0.0005403200491045368}, { 0.008826094622145337, -0.0005651876843550951}}], Line[{{1.9875958354487862`, -0.001165910554068006}, { 1.988867450928481, -0.0009267906064138742}}], Line[{{1.9786487215148834`, -0.0036624957723532248`}, { 1.9786487215148834`, -0.0036624957723532248`}}], Line[{{0.0032469470036345775`, -0.00006500762486894018}, { 0.0032469470036345775`, -0.00006500762486894018}}], Line[{{1.9938221141603587`, -0.00026293668237897805`}, { 1.9938221141603587`, -0.00026293668237897805`}}]}, "Charting`Private`Tag$6421#3"], {}}, {{}, {}, {}, {}, {}}}, {}, \ {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw1WGlUjYvfrY5mmunWLWnUJAmJ4ocoDYbmQdKEJBpwCSHiKo2kUqGZSvPo lH5PnQalNKhcjRqkpM5JGp1znr/3w/tpr/1hr7X32l/22vJuPpanuDg4OKQ4 OTj+D01PTXQQk6f2UJkK1T01P6tWGUr7DkkdAC4bp1Ch6PzqrS/ik4qlrOEa 2T4WHNVWPSajFHRFxRlYjPZZ7ZrharPWT0XPpDwgof+62N4oerVSmGwGKXcW om4nHH75aqmaaeoe56pyATIkSQXJGk78HtxV5xrrB7sDtwU4qvOhncfi20dS l0DY73yWbJQw1hlKl9OS/oHI5S4H7WVx1FbcXfBLLgAqOObfR7/6C5O4XLKU 067Dl7Z1Glt7ZJFv5E6qrcpNEN/6TF+gRh6pXzpbada3oX5483/SPUroe8zD 1Ck2CLgvGZ4zU1fFgc3/GoZLBcPZ/dOXVkdtxpgXfxHKx+9BBtZc/tC+BU2F sw2qk+5D/9HDr1WWt2LZTMt2ulwIJNcrC/77Sg+9nZ2L/nUNBa0c/62Rm/VR 4QNda0PaQwjm4rDb2LMbI3LFVC1UImCBa6aRUrMPD8qmp0+eiYRDDk86Xxoa 4s2GBJEa6yi4OdHfK95zALfpaoY7xEZDbKH5mKH6IUxee/R+qFQMCM7k9VKi juL11rg6W2oMVHFrTl58dwxt733hUjz+BMYK2keb2i1w9bzfrcqkWLBwCu2W X7bCq10xV3/IPYUffJgd9MoercIGyiqIp6B9XeKZ+IQDah1QmQ92TYB0/l0R IZuP41hxuZ9sWiK43pj3lu85gRaPe72OqDyH+L51ERw1rqhpppgl3fgcHHnu 3HG47YZ8FO9v42dewHWw+Sfd0B1PvmEXonUynO7f6iTS44Fr1aK07GNToIro 2LBX3ROD+Io3hkilw/ZtUeFkpA+qG0c/KPJNhzOrz0nwWvpi5z2fyb7GdFCP FJk8OeiLShTNHK1/MuCGkftGHrYfNrDStbo6M+Hb9Y1LSg6XcPVc7Ha5sCxY 4tT4nnMzAEu3XI49NJoFW1gLL99vuobOvlaLfruyQTqk/ofB0DXMnxZ+UzeR DbctvQQlTG6g5cQDA6+Dr0HkdWdSjN4tjB+4ZljKzoNdu4Uf+NDu4D4Zh/RB m3xwRP4XDzfdxe+OO7j5cvOhO+ReQHv8XVz/I8A9d1MBRC9yBHT5B6PPWV1l jv4C8NblTa3fdh/FPPJfZegVQeE+iyRzRgjaO6TkM2ZLwKhxOn5BIRrpfdYC qdKl8HtIKqL1VDTed+Y7ZWVYCnG7bYeVs6Kx2N1HuiymFK42kimOWx6h0IXd 967vKAPtdevCuowfY/2dz448geWw/PwoRSD8Ceq8FuWR4aPCWueFwOtXE7BJ q96lVZsKb8Q1tt98n4AuhVcrbzpQ4aCQrymXXCKGlw35DmdTQaJTPTKiMREn iNy+zMOVEBDjHlS+/hk+7zYp3PK4CqirRvjMvr5AQTLIyXg9gpsJv2XVZCrG n7Vz1jRCKDcs++YgnYZKXZouohcQRH2Us7abpeGerE/ufW8RuB1M81/mpuGb rNjSci0CwgLy3l2+nI7TVj+qzD4Q4Dc9tJkqkok2r+LeX1xTC+eTv7WNXs7C pBN3zE/L10JyVe+AUV4Wjoidb7XfXgs9/FGSE+NZ6BO4v233iVp4sGOf0Ff7 bAyxnO7kza2Fe0Nv+ZogB98y9/cmmtPA3m2Dzk6pXFS2mJmgPayDeKmDGicC C1D6lvGuMyl14MQpNameXIAiuckPBcrrIDVtbpcsrQBX+Ky0LEbq4LHk2wQf /kJsJ8ovDurVg/HbZNP3cYV4TTuIvfS1HsrI7HPOlUX4QVhCQmtvI8y6vC+a ky3FKx92QvyvJkiK0bfpPUZFIa3Sr018zcAcItcPBFAxPVw77LdMM/yk5NaR qVTsMN/42flgM7R016Slz1NR473EReXYZlid0l3gnVSJQ430zKId7yGtO4Nn gV6FxjUZQq3XWsCofCJ5Og9RskR0kJOzDXS1mMZ6DbVYNmLY0mbQCTccGu3U mE1Y6/Xsb4cfXXDM2MS4Q6oD51V2C+ee/wTVEVmfJny7kWs5R+Rv5V5Yv0G3 Nqa4F3VJlzKrvH7YH82WYYl8wZbgbR8a1Idg3efha4ylEZSLmlrOmvkCnezE FYHT4zi1ODTYrT0CON/ZJd47ienfK5uFIkaBoiB/Z2xoGoVkX9LHxsYg39DV PH3NLIadLT2drDQO0oVPJFU3zuHC3pwxz1vfoMXmSJxX9Dxe0qkrWUebAL2h aaOnc4s4lFf3sEP+O5wT/XRs8PUK/vbqSlS7NgXr58LeLASyUGMfL/t05Q+w LV15nCnHQRinyp8plJyBfTXpfR/yOYlt8UIqDTIz0BRj4fKulJPYEPF7rFd+ Bmpa1L7VVnISKwHdbqs0Z0DQy+k3tZGTyLUIcbbbOwNLDs27y4c4CXHOWRuW 5wzsEW5S/yLMRQydJA6YUGfgeptFxpwvF9Fik0txxhkw3XLOZ80VLqLCLKHW v24GQhfz9VUDuYhHOy7tTfowAx6Flb0uIVzEQWFVA/rIDPj19ukMpnAROdWR W58I0mGBE8z4P3IRV2RPKgw70SE/M0pGXpdCuB3Ttu13pcMrk9k+fQMKceQu Z+in03QIFrn42G4/hVCZTJtt9aXDN/7e79FHKERXyQRBDabD0Zzt+mJnKIS2 uf/JmNd0KHyl6LYvnkLI3DJ8HFlIh76Q2LRzzykEb5FEY2gZHSYi1Adi0ynE oGS5VhBBh5xVZXqMAgoRNvqbdb6LDj3PHaPzmijE1XWtW85+poP0i57HX9oo hLvJ81Meg3TYQ7sYId5DIXbl7211nKDD1iui3jdG/vgbEeW0naYDF6/Y0aIJ CiG6dnSbxU86FFO3qk/OUAimcYmn+SIdjB/9w9owTyEmrt1LMmbSAcN73zn8 phDfbTU8UzgYELJy/643m0K4MMS55CgMCNiTunvrEoXoCWEmJnEz4HDmIH1l lkKYKX7dLs3HAB4dgwTaFIUgqlrb4gQYkDpMNQj/SiF0bcvOrl3DALlSx092 QxRCIeTfZyJiDKhtZP2id1KIeAXfHRESDJjg4bz6toVCCFXZdwhKMuDnWeW5 hw0UYnlGjZtXhgH5iR0dGlQK0W7d4s1SZkBLbrn2lRQKofnDRvDTYQZoevDU AFCICmtzDD3GABfnpekXehTC8O3+i3usGEBJYezh1KEQjhGb+zLsGRBFzpk3 KlGIEG3+nEvuDKiTN5JyFaAQ45eqTMUCGJC1InnxfTcXkcxSCD2czoDjbD+N 6+e5CHFhBl/dyh9+mMwzSuYkVmFivmLSLHh8z+QK3MRBnNtW+Znf7CfE7jhe pnSchTkmbsnVCz9BzGNyITN8BeenpEXGY+dAqlQchkSWsNTKmBJz4Bf4mjg0 FwfN461D916UjP/h9qS4Hcyh/IDpf2n35sFhIM/x7sZZ3LUjOEZKZwHEjOZu Mfhn0Gl92zLnxwWwNt9/Pfzod5xvDh/xDVqEnruhP+3DxjF+lfMlS6UlaH5X wMlhPorig6WpXHVLIN1/bO1nxy/IHRhkvdNvGZpSAzJjv/QiR5Zz/ojYCpza HN+wa64b/RPyw8VqV8BzwXPaU7MD32o84BO98Bv02mbcLP9uRlFTf807QkzY puPoNutDw+QaYcFdokyY6sgJ1rKhofbO3MlZcSYIZn2Su7mLhkdUJzJdpZhQ yXpLWHPTMJTHWX6fEhP+3Vv/eiixFlfRTNZx7GICVaN6k3dLDS7oy3PcPMWE 6XiHjyf1Cezf1P4xoIoJVknnHd1TqPhiSjSQgkxwHjSp5r9KRbcsK5XwGiY8 Mbht036EipNKn64mNzDhn8O/ZauZb3Dh70HZxnYmnKhRl5RxfIOiAj/OSHz9 o5+9kD0sXYFG47zMvDUsuOcfZv24pBT5000y9ERYILHrteLeyFJscX14pFaM Ba2yKiprvErRakAopVuSBRU7Vet5N5SiS9daI6Y8C17TTp27FV6C12sVo0x0 WdAs12B/9UIxFjwHpTFnFqgv/10edagQ567N8bq6siAu/a3e1MZC1LV7OTXg zoJ1+1pee/AWYqWwcPEnTxY4HNb2LmkowIbbg/ve+7Mgr0j8UKNRAfa5BZ4s us+CYtfIiUtP85BnY2XC7TwWTM6/M8gdykYTis9NVgELTkQf6lufmY1hQwpu 14pZsCSU6vzBOxtF40PVLlWwoKhgRPzbShbK8DtWnKllwbvwBD1SKgt1ppa6 j/SwYChvzKvZ/SWeyNcVlWWzoC5sxL9FOR3LHJeE2jnYIBAlplBLT0MhHurq uxQ2FP3j/pqDmoaE026+ST42fJg+Y2l/NA0VBA6QJeJsoN/9PeoXmIrjHhbT 5mpsMDx6WPbIt2S8IO3ddMOaDcfqdDtsRhOxoX5T42Y7Noi9aFu8EpKIcn70 uhEHNljvze7S0E7E9kZ/4tBJNvT1KBUeupWAOpcDyiW82OBvtXneVukpLrbd z3h9iw3JoU+z6kNi8fa9lKD+bDYkzdbSpmqicc0VXlPXXDZkya9vFbgVjQme 58XG89mwOyO07JXBn31otjONXsIG8Zdxaq5vonBctKOOC9kwo0aRD/GLRLPn HHxqH9mwd5s6Lfv5Q/wv8nR7bjcbdLkF/6tTfYgeQS3xOv+xwTNQKLe/OBRv esSrGQywId4tMI67NQQL1LXNjn5jwzLn7/MGgg9wXfnJiMu/2cB4dFl+T3kw pr2qt11hsYHWdVtvm0UwaidoyN3iICHtbZ6w6o+7aBK4mP+Am4SyYH82n/Jd vGEY2ZEoTILtt6cD+alBONJWLVGrSIIlu+2AYmIg+tQoDRipkFDorn+lceYG MotCM96rkqAp+UPtzIEbuDbWVrd7EwnlnrIiT+ev4SGnGbuJHSR0luBQg89V zJ2QTRQyJ8HzJ1eYKe0iPnh2z2XwCAlxofWXvVUuoofltHKeBQmnXoS94wnz R5mqqoLDdiSEgmpWurMfhkYebwhzIyG5RD1XwPACnj5Ae+h0igSeokWRbu3z uH9Z3ULTkwTprFajKEVvXHZb6Xt/noTc4BjVz5Je6Kn7dFYggIQX9PC6Ev3T eGCKo7z3Ogk3qKkV3BanUC7Z80b2TRLsbxE3jc95YA+/Hq9pMAmN8+uCnuW5 4cGBHpmQSBIom05WqQw744ZHe0bsH5Gg7fxXfbfjCWQaZb5UfUKC1p1Rv9OD x7Gk4LLOuwQSjNPzyzUpDqgQLHGIN5OE9xZyv8xpVsjWu7Hm0ysSHGQ9ZfnD LPHz9GhnZg4JBf213zOdLTDKrviEUSEJXF5Oo0KGR9B79d+K60r+5E0KtI1R NMdDNXcmvpb98VdSKzogaYqkuuXFe1UkqCdWuFToG2Hv0Bs9GyQBPc/+Mj13 AMti5NlKtSSckdnTnpy3Hy+wGQ/qGkkY8ckkNIf3oGmx/ZGYZhLSYaOa96A+ KnsS4h6tJAwO0OV1KDuxvyPyOeUjCWFB9nUWtK1YcX/R/WM3CTL/Lp3Pcd6C Mfon1dL+I+FoCXFU0lALfRkNM/59JDjNy42NSaqjWYZWyf5BEvI6hZ6ivgqq OMYGiA2TUG0afuFlngJyCbP3jIyS8LVCt0lveD0O0k6tKhonQU/Mf8GAIoXU q61NQZMkXElp8ThOE8fYTdsjLX6QsL81TFXVUAj9RpKs5ekkCDVU83/Q50Hz uFXSs7MkJFk59x4bZlermnsPEb9ICJ6uzLhAm6texdmVHrX4p69qzanv+uPV X0r1vVxWSLBLKdv4hPaxusorbbM2iwTuGBnNEVpxdZyc4DxJkvD//8v/AM08 GpA= "]]}, "Charting`Private`Tag$6491#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw1WGk0lYvfNSRTGc4Rl0syZkpSyUX9KkWGBvOQZKokEo2SpOhGpkoIlbmQ eSrT7zFnyhC6GTNUJM6REJ1znn/vh/fTXvvDXmvvtb/stWVcvM1PcbCxsYmz s7H9Hxqfmuompk/tqWDI1vTXclSv0Ze4MCp+ADisHMIEHmDN9ufxScXilnCd 7JoMjh6tmZSUD7qq6AhMete8Ru18jUnHh6Kn4m6QMORP2RtN1siHS2WQ0mch +lbC4RcveZBh7BrnrHgeMsRIWbFaYfwW3NvgHOsDuwN2+Nmr/IU2bsvVD8Uv gaCPV5ZUtDQ26EuU1yddgaiVXjuNFTnUkNtd8FPaD16zLbY9eKmESRxOWQpp /vCpU1R1e/8W5Bm/nWqteBOo25/q8tVuw4pPPR31lregcWzrfxL9O/DCMTdj h9gg4Lqkf85ERRuHt/6rHyEeDGf3z15aFw0Y8/wvQuF4CGRg7eV3XfvQWDBb rybpLgwdPfxKcUUfy+bad9KkQyG5UYH/35eH0NPRsehf5zBQz/HdHrXVBGXf 0dQ3pd2HYA42m839hzEyl6JkphgJSxxzzZy1ZnhQKj19+kwUHLJ73PNC3wJv NiUI1VpGw82poQFqvyXu0FKLsIt9ALGFppP6KraYvOHo3TDxGOCfyxvgjD6J /h1xDdYVMVDFpTZ98a0TWod84pA7/hgmC7omWrqccd2iT2BlUiyYOYT1yay4 4rXemGvfpZ/Adx7MDnrpjhbhw2WviSeg4S/ylDp1FtUPKC4GOydAOq9OZOjW czhZXO4jlZYIzjcWPWX6vdDs0YDHEcVnED8oGslW64NqJnJZEs3PwH7t7dt2 t3yRh9Pz65czz8EfrK6k61/Ek29YhWiZDKeHtjsI9V/CDcrR6raxKVBFdG/a q3INg3iKN4eKp8POHdERZFQgqhg+uFd0IR3OrDsnwm1+C3tCvKcHm9NBJUpo +uTILZTnVMtRv5IBNwxcN69lBWETM129tycTvvpv/iVvF4zrFmJ3SodnwS92 1W85N0OxdNvl2EMTWbCNufSibUsYOl6wWPbRyQaJ0MbveqNhmD8r+KZhKhtu mXvwixiFo/nUPT2Pg69A6FVPUox2FMYPX9cvZeWBzm7Be971D3GfpF36iFU+ 2CPv8/tbHuE3+11cPLn50Bca4tcV/wg3fvdzzd1SAA+W2fx6fWPQ+6yWAttQ AXhqcac27ohFilv+ywztIijcZ5ZkSn+CtnYp+fT5EjBono1fkk1B2qAlX6pE KfweFY/sOJWCdx15Tlnol0LcbusxhawULHb1liiLKYVrzWSK/bZUFDi/O8R/ VxloiIqG9xqmYePtj/ZrA8ph5dlRTr6IDNR8JbxWkqcCNjguBfhfy8YW9Uan Do0KeENV3XmzLRudCq9V3rSrgIMCF4w5pHMwomz0wlh2BYj0qERFNufgFJE7 mHm4EvxiXIPKN+bisz6jwm2PqqBizTiPyed85CeDHAw3IrgY8ZpXTRdh/Fkb RzUDhHL9sq92EsUo36vmJHweQdhbIWunSTHuyfrgOliNwGVnnP8itxjfZMWW lqsTEO6X9/by5RKctfheZfKOAJ/Z0a0VQmVo9TKu7eL6OvBK/to5cfkNJp24 bXpapg6SqwaGDfLe4DjFq8N2Zx3080aLTX15g94B+zt3n6iDe7v2CXy2rcBQ 89ke7tw6CBmt5mmBSqxm7B9INK0HW5dNmv+IV6OC2dxU/f0GiBc/qHoigECJ QEOdMykN4MAuPq2STKBQbvJ9vvIGSE1b0JGqJ3CVx0LdbLwBHolVJ3jz1mIX UX5xRLsRDKuTjdviavG6RhDr1+dGKCOzzzlW1uE7QRER9b3NMO/UVrQg1YhX 3/0D8T9bIClG12rgWCsKqJd+buFpBcYouXHYrxXTIzTCf0u2wg/O3AYytRW7 TTd/dDzYCu19tWnpi62o2iZyUSG2Fdal9BV4JrXhaDMts2hXG6T1ZaxdorWj YW2GQMf1djAon0qezetEsRLhEXb2TtBSZxhqN/Vg2bh+e6deD9ywa7ZRZnzE Oo+nf9t974VjhkaG3eJjuKi4WzDX6wPURGZ9mLrwGTlWcoT+VhiAjZu06mKK v6EW6VRmkTcE+x+wJJlCdGwP3vGuSWUURD+OXaf/+oHS0TMrWXOfoIeVuMp3 eglnlkdH+jTGARd7eqkDK5j+rbJVIHICOGVlbk+OMlFA6gVtcnIS8vWdTdPX sxPhZ0tPJ8t/AYnCx2JKmzmJpb05k+6BX6Hd6kicxwMu4pJmQ4lo/RRoj84a PFngJkbzGu53y3yDc8Ifjo284iN+e/QmKl+fgY0L4W+WAtYTqvu4Wacrv4N1 6eqjTGkhwjBV5kyh2Bzsq00ffJcvTOyIF1BskpyDlhgzp7elwsSmyN+TAzJz UNuu/LWuUphY9etzWaM2B/weDr8rmoWJXLNQR5u9c/DLrnV3+agwQWWft2K6 z8EewRaVT4IUYvQkccCoYg78O80yFi5QiHarXE5HnAPjbee811+lEK9NEup8 G+YgbDlfVymAQjzcdWlv0rs5cCusHHAKpRAHBZX0aONz4DMwqDmSQiFyaqK2 P+anwRI7mPC+pxBXpU7KjjnQID8zWlJGi0q4HNOwHnKmwUuj+UFdPSpx5A57 2IfTNAgWuvjIZj+VUJxOm++4QIOvvAPfHhyhEr0lU0RFMA2O5uzUpZyhEhqm vidjXtGg8KWcy754KiEZqP8oqpAGg6GxaeeeUQnuIpHmsDIaTEWqDMemU4kR sXL1IIIGOWvKtOkFVCJ84jfTq5cG/c/sH+S1UIlroh3bzn6kgcTz/kefOqmE q9GzU24jNNhTfzGS2k8ldPL3dthP0WD7VWHPG+N//I0Ls1vP0oCDm3K0aIpK CG+Y2GH2gwbFFdtVpueoBMOwxN10mQaGD68wNy1SianrIUmGDBpgxMBbu99U 4pu1qnsKGx1CV+/e8WRRCSc6lUOakw5+e1J3b/9FJfpDGYlJXHQ4nDlCW52n EiZyn3dK8NBhraZeQv0MlSCqOjrj+OiQOlahF/GZSmhZl53dsJ4O0qX2H2xG qYRs6L9PhSh0qGtm/qT1UIl42Qu7IkXoMLWW/Vp1O5UQqLLt5hejw4+zCgv3 m6jEypwyF7ckHfITu7tVK6hEl2W7J1OBDu255RpXU6iE2ncr/g+H6aDmtrYW gEq8tjTFsGN0cHL8Nftcm0roV++/uMeCDpwp9D3smlTCPnLrYIYtHaLJBdNm eSoRqsGbc8mVDg0yBuLOfFTiy6UqY4ofHbJWxS629VGIZKZs2OF0Ohxn+aj6 e1EIqiCdp2H1Dz9M5hkkCxNrMDFfLmke3L5lcgRsESLO7aj8yGvyA2J3HS+T P76eyDFySa5Z+gEUt+mlzAg+YnFGQuhL7AKIl1JhVIiHKLUw5Iw58BMuGNm1 FgdxEYGHQp6XfPnDbUmqDXASMsPG/6WFLILdcJ79nc3shM6u4BhxzSWgGCwE 0nlZ6LCxc4X9/RJYmu73jzi6ioutEeMXgpah/07YD9vwJYxf43jJXP4XtL4t YGczXUDqSGkqR8MvkBg6tuGjPR25AoIs//FZgZZUv8zYT9+QLcsxf5yyCqe2 xjfpLHxG34T8CErdKrgvuc+6q41hteo9HuHzv0G7c87F/O8BFDb2VbstwIAd mvYu897vMblWkF9HmAEz3TnB6lbvUeOf3Ol5KgP4sz5I39R5j0eUpjKdxRlQ yawmLLneY9haR5l98gz4d2/jq9HEHlxTbyTKpsOACtWaLZ7t3bikK8N28xQD ZuPt3p/U7cKhLV3v/aoYYJHkZe+a0orPZ4QDOJEBjiNGNbzXWtEly0IxopYB j/VuWXUdacVp+Q/XkpsYcOXwb6kaRgsu/T0i1dzFgBO1KmKS9i0ozPf9jMjn P/r589ljEm/R4As3I289E0J8wy0flTQib7pRhrYQE0R0XsntjWrEduf7R+oo TOiQUlRc79GIFsMCKX1iTHj9j1Ij96ZGdOrdYMCQYcKr+lPnAiMa0L9OLtpI iwmt0k22187XY8EzkJ90ZILKyt/l0YdqceH6ArezMxPi0qu1ZzbXopbNi5lh VyaI7mt/5cZdi5WCgsUf3Jlgd1jDs6SJwKZbI/vafJmQV0Q91GxA4KBLwMmi u0wodo6auvSkBtdurky4lceE6cW3ermjFWjE6X2TWcCEEw8ODW7MrMDwUVmX 68VM+CWQ6vjOswKF48OUL71mQlHBOPXr6huU5LV/faaOCW8jErRJ8TeoOfOr 70g/E0bzJj1aXcvxRL6WsBSLCQ3h477tCiVYZv9LoIuNBXzRFNk6WjEKrK1Y d4eTBUVXXF+xVRQj4bCbZ5qHBe9mz5jbHi1GWb4DZAmVBbQ7vyd8Aorwi5vZ rKkyC/SPHpY68rUAz0t4ttywZMGxBq1uq4kcbGrc0rzVhgWU553LV0NzUNqH 1jBuxwLLvdm9qho52NXsSxw6yYLBfvnCQ4HZqHnZr1zEgwW+FlsXreWzcLnz bsarQBYkhz3JagzNxFshKUFD2SxImq+rn6lNwfVXuY2dc1mQJbOxgy8wBRPc vShf8lmwOyOs7KXen31o8k8arYQF1Bdxys5vkvGLcHcDB7JgTplTJtTnOZo8 Y+NRfs+CvTtU6rOfJeJ/Uae7cvtYoMXF/1+DUiK6BbXHa/7HAvcAgdyh4gS8 6RavrDfMgniXgDiujidYoKJhcvQrC1bYf3vp8cejaPnJyMu/WUB/eFlmT3kM pr1stF5lsqC+95b2DrMY1EhQlQ5kIyGtOk9Q6fsjNApYzr/HRUJZsC+LR+ER 3tCP6k4UJMH665Ph/NQHON5ZI1InR4I5q/OAXGIEetfKDxsoklDoqnu1eS4c GUVhGW1KJKiJfVc+cyAcN8Raa/VtIaHcXUroyWIYHnKYs5naRUJPCY42ed/D 3CmpRAFTEtx/cIQb19/Be09DnEaOkBAX1njZU/EOupnPKuSZkXDqefjbteG3 UbKqquCwDQlhoJSV7hiEYVHHm8JdSEguUcnl07+Jpw/U33c4RcLaomWhPo0A 3L+iYqbmToJEVodBtNwNXHFZHWzzIiE3OEbpo9h1dNd6Ms/nR8JzWkRDie4V PDDDVj7gT8KNitTXXGaXUTrZ/Ub2TRJsA4mbhucuYT+vNrdxMAnNi6JBT/N8 8eBwv2RoFAmcW05WKY6dx00P94zbPiRBw/Gvxj57L2QYZL5QekyC+u0Jn9Mj 57Ck4LLm2wQSDNPzy9U4z6JssMgh7kwS2sykf5rWuyJL+8b6Dy9JsJNyl+IN d8GPsxM9mTkkFAzVfct0dMZom+ITBoUkcHg4TAjoO6Lnur/lREv+5E0KsI6R c8BDtbenPpf98VdSJzwsZo+kivnFkCoSVBJfO73WtcaB0TfaVkgCup/9aXzO EstiZFjydSSckdzTlZxnjudZ9HsNzSSMe2cSamNH0LjY9khMKwnpsFnZc8QE FdwJqlsHCSPDNBlNTiMc6o56xvmehPAg2wazen18fXfZ9X0fCZL//vLKcdyH MbonldP+I+FoCXFUTH8PXqA3zfkOkuCwKD05KaaDJhnqJftHSMjrEXiCulqo aB/rRxkjocY44vyLPE3kEGTtGZ8g4fNrrRbtMXUcqT+1pugLCdoU3yU9TmWs uNbREjRNwtWUdrfj9XIYu2VnlNl3EvZ3hCsp6W9En/EkSxkaCQJNNbzvdEXR NG6NxPw8CUkWjgPHxgRQydRzlPhJQvBsZcb5ek5cw96bHr38p68atZlvuks1 n0p1PZxWSbBJKdv8uH6ipsojbasGkwSuGEm18fr6mjhp/kWSJOH//5f/ASzU GzE= "]]}, "Charting`Private`Tag$6491#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw1WHdYzY//bWjTpk99Sm630pKERPFClIaRdpIWkmjgQ1JEobSQSkKbpL1o vd51G1oaKjQ1UFL3Jk333vfX74/fX+c5f5znOec5/5znUFy8jp7k4uDgkObk 4Pg/NDk53kFMnNxVxlSo6qkWr1xhIOM9JL0PuKwcwoTvt1Vtfh6fWChtCVfJ 9rHgaHrVmKxi0GVlR2Ax2me0qjnRtPVjwVNpN0jo9xffHS2CiuFy6aT8GYi+ kXDwxct/kGniGuesfB7SpUgFqWoK/gjuqnWO9YGdAVv87NVU0MZtofKB9EUQ 8TmXKRe9EWsNZEppif9B1FKXndbSZtSi7sz7Le8Hbzjmmu+/1MVELqdMpVR/ +NK2Rn1zz07kH7mZYq0cCBKbn+oJVu/Bsi+drTTLG1A3vPGTTM8+9D7iZuIQ GwQ8Fw3OmqodwIGNdwwipIPhzN6piyujD2PM838IpWMhkI7Vl963m6OJyCv9 qsTb0H/44GvlJQssmW7ZSpcPhaQ6JaE7L23R09Gx4I5zGGhm+W6O2ngMFd7T Ndel3oNgLg6b9T3HMTJbXMVcORLmuaYbuKudcb9cWtrE6Sg4YPeo84WBKwbW J4hWW0ZD4Hh/r0SPG27R0Yiwi70PsflmYwZq7pi0+vDtMOkYEJrO6eWO9kL/ 1rha67IYqODRmLjwzhutQ75wUY89grG89tHGdh9cOedzvTwxFswdwropSxfw SlfMlZ/yj+EnP74KenkFLcIHSt4Qj0HLX/KpxLgfau5Tngt2ToA0gR2RoRv9 cayw1Ecu9Qk4X5vzpPQEoPnDXo9Dys8gvm9NJEd1EGqYUjNlGp6BPe/Nm3Y3 biI/t+f3b6efgz9Y/ZdmcAtPvGXno2USnOrf7CDaE4yrVaM1bWOToYLoWLdb 7S4G8ReuD5VOg61boiPIqChUM7p/t8A7DU6vPCvJdzQaO0O8Jvoa0kAtSnTi xGA0KnJrZGn+lw7XDF3X87LvYz0rTbOrMwO++69fVLSLwZWzsVvlwzNhkVP9 R1bgYyzedCn2wGgmbGLNv2jekICO3hYLPjtegUxo3U/9oQTMnRJ5Wzv+Cm4c 9RCSNE7Eo+N39T32vwbR152JMbrPMX7gqkExOwd27BS560VLwT2ydmmDVrlg jwLP721IxR/223j4s3OhOzTErz0+Fdf+9HPN3pAH9xc4/Lp809DrjI4SR38e eOrwpdRtyUBxt9yX6boFkL/HPNGMkYm2dsm5jJkiMGyYip9XyEd6n6Vgikwx /BmSjmw9mY+3HflPWhgUQ9xO62GlzHwsdPWSKYkphisNZLL9pgIUPr8zxH9b CWitWRPeZVSIdTc/2/MGlMLSs8PcghHFqP1ajFeWvwxWO84H+F8pw0bNOqdW rTJ4K6G+NbC5DJ3yr5QH2pXBfmFvEy75cowoGfIeflUGkp1qUZEN5ThOZPdl HCwHvxjXoNK1lfis2zh/08MKKFsxwm/6FVGIDHIwWovgYixwtGKiBuPP2Dhq GCKUGpR8t5OhoWKXhpPYeQQxL6XMraY03JX50bWvEoHHziT3RTYN32bGFpdq EhDul/Pu0qVanLL4WWH6ngCfqaGNZaL1aPUyrvnCqho4l/S9bfRSIyYev2l2 ilIDSRW9A4Y5jTgifq7VdmsN9AhES41/a0SvgL1tO4/XwN1te4S/2jZh6NGp Tr7sGggZquRvhGasZO7tfWJGA1uXddrbpVtRyXx6nHavFuKl96sfD2hHmetG O04n14IDp/SEWlI7imYn3RMsrYWU1NkdcrR2XOa30DQfqYWHUpUJXgId2E6U XhjUrQOjyiST5rgOvKoVxF78Wgcl5KuzjuWd+F5EUlJzdwPMODUXzMp14+X3 2yH+dyMkxuhZ9R7pRWHN4q+N/E3AHCLXDvj1YlqEVvgf2Sb4xZ1dS6b0YofZ +s+O+5ugpbs6NW2uF9WbJS8oxTbByuTuPM/EPhxqoGcUbGuG1O503nl6PxpV pwu3Xm0Bw9LxpKmcIZQqEhvk5GwDHU2mkW79CJaMGLS06XfCNbsGG1XmBNZ4 PP3X7mcXHDEyNuqQnsE55Z0i2ec+QlVk5sdx7znkWsoS/VepF9au06mJKVxG HdKpxCKnH/beZ8uyRDmIluAt7+vVhmDN5+GrjEUuQj56cilz+gt0sp8sC57i JSYXhga7tUYA5zq7JHoFiLQf5U3CkaPArUC5OTa0ihCWe0EfGxuDXANns7RV YkT4meJTSYrfQCb/kZTKeglifnfWmPv179BidSjO4/5q4qJ2bdEa2jjoDk0Z Pp6VIoZyau91UH7AWbGPRwZfyxB/PLqeqF6dhLWz4W/nA+QI9T187FPlP8G6 ePlhhvw6wiiFcjpfahr2VKf1vc+lEFvihZXrZaehMcbc6V0xhVgX+WeslzIN 1S2q32vKKcSyX7fLCo1pEPJw+FPWQCGyzUMdbXZPw6Jd087SIQohwTljxXKf hl0ijWpfRBSIoRPEPuOyafBvM0+f9VYgWqyyuR1xGkw2nfVadVmBeGOaUONb Ow1hC7l6KgEKxINtF3cnvp8Gt/zyXqdQBWK/iIo+fWQafHr7tAeTFYisqqjN j4ToMM8JpgIfFIjLcicUhh3okJsRLUvRoRIuR7Ss+53p8NJ4pk9Pn0ocusUZ 9vEUHYJFLzy02UsllCdSZ1q96fBdoPfH/UNUoqtonCgLpsPhrK164qephJaZ 74mY13TIf0l12RNPJWSvGzyMyqdDX2hs6tlnVIKvQLIhrIQO45FqA7FpVGJQ qlQziKBD1ooSXUYelQgf/cM610WHnmf293MaqcSVNa2bznymg8zznodf2qiE q/Gzk26DdNhFuxAp0UMlduTubrUfp8Pmy2Ke10b++hsR47SeogMXn/jhgnEq IbZ6dIv5LzoUlm1Wm5imEkyjInezBToYPfiPtW6OSoxfDUk0YtIBI3rf2f2h Ej+s1d2TORgQunz7liebSjgxJLjkuRngtytl5+ZFKtETynySyMOAgxmD9OUZ KmFK/bpVhp8BvNr6CbRJKkFUtLbFCTIgZbhMP+IrldCxLjmzehUD5IvtP9oM UQmF0DtPRcUZUNPA+k3vpBLxCt7bIiUZMM7LeaWyhUoIV9h2CEkx4NcZpdl7 9VRiaVqVh0+WAblPOjrUy6hEu2WLJ0uJAS3ZpVqXk6mExk8roY8HGaDhxlsN QCXeWJph2BEGODkuTj3XpRIGlXsv7LJgAHcyYxenNpWwj9zYl27LgGhy1qxB kUqEaglkXXRlQC3FUNpZkEp8u1hhIu7HgMxlqQvN3QpEEksh7GAaA46xfdT9 zykQEiIM/trlv/wgmWOYRCFW4JNcauIMuP3I4ArYsI44u6X8s4DpL4jddqxE 8ZgckWXsklQ1/wvE3SbmMyJkiLlJGdFvsbMgXSwBQ6L/EMUWRtwx+36Dt7Fd U2HQauL6gZDnRd/+cltSwgYkCMqAyafUkDmwG8ixv7VejNixLThGWnsexA1n rzMEhAmHtW1LnB/mwdJsr3/EYUFirilixDtoAXpuhf2yDecl4lc4XjyquAhN 7/I4Ocy4CYnB4hSu2kWQ6T+y+rM9B8ETEGS53WcJGlP8MmK/LCNHpmPuiPgy nNwYX79jdg59E3IjxGuWwX3efcpdYwYr1e/yi53/A7pt0y5H//2BYia+GjeF mbBF295lxmsUk6pFhHaIMWGyIytY02oUtbZnT8xIMEEo86N84I5RPKQynuEs zYRyViVhyTOKYbyOlD2KTLizu+710JMRXEEzXsOxgwll6lUbPFuGcV6PwhF4 kglT8XYfTuh9wf4N7R/8KphgkXjO3jW5F59PigVwIxMcB42rBK70okumhXJE NRMe6d+waj/UixOKH68k1TPhv4N/5KqYn3H+30G5hnYmHK9Wk5K1/4xigj9P S379q585/2pY5hMafuNj5qxiQYhvuOXDom4USDNO1xVlgeSO19TdUd3Y4nzv UI04C1rllJVXeXSjxYBwcrcUC95sV6njW9eNTl2rDZkUFrymnTx7PaIL/Wuo 0cY6LGiSr7e9cv4D5j0DxTFHFqgt/VsafaADZ6/O8jk7syAurVJ3cn0H6ti8 mBxwZcGaPS2v3fg6sFxEpPCjOwvsDmp5FtW3Y/2NwT3NvizIKZA40GDYjn0u AScKbrOg0Dlq/OLj98i7vjzhRg4LJube6WcPNaExt1cgK48Fx+8f6Fub0YTh QwouVwtZsCic4vjeswnF4sNUL75hQUHeiMT35UaUFbB/c7qGBe8iEnRJ6UbU nlzsPtTDgqGcMY8m1wY8nqsjJsdmQW34iG+LUi2W2C8Kt3OwQTBaXKGGTkNh 3rKVt7jZUPCf62uOMhoSDjv5J/jZ8H7q9FHbwzRUENxHFkmwgX7rz6hPQA1+ czOfMlNlg8Hhg3KHvhN4Xsaz8ZolG47U6nRYjZZjfd2Gho02bBB/3rZwObQc 5X3otSN2bLDc/apLXasc2xt8iQMn2NDXo5h/4HoZal/yK5X0YIOvxcY5a8W3 uNB2O/31dTYkhT3OrAstwRshyUH9r9iQOFNDm6zOx1WX+Uycs9mQSVnbKng9 HxPcz4l/y2XDzvSwkpf6f/eh6fZUehEbJF7EqTq/zcNvYh21XMiGaVVuSqhP Lpo+4+BX/cCG3VvUaK+eZeGnqFPt2d1s0OER+lSrkoVuQS3x2p/Y4B4gnN1f +AoD3eJV9QfYEO8SEMfTmol5alqmh7+zYYnzzzl9oZe4pvRE5KU/bGA8uETZ VZqGqS/rrJdZbKB13dDdYp6GWgnq8tc5SEitzBFR+ZmKxgELuXd5SCgJ9mXz K6XiNYOojiciJFh/fzyQm5KMI21VkjVUEo6y2/ZRnzxFr2rFAUNlEvJd9S43 TCcisyAsvVmFBA2pn6qn9yXi6lhrne4NJJS6y4k+nkvAAw7TNuPbSOgswqF6 r3jMHpd7ImxGgvsvrnAT2kO8+zTEafAQCXFhdZc8lR+i29EppRxzEk4+D3/H G/4AZSsq8g7akBAGKplpjvcxLOpYfbgLCUlFatmCBpF4ah/tnsNJEngLFkS7 tSJw75KauYY7CTKZrYbR1HBcclnuaz5HQnZwjMpnqTB013k8I+hHwnN6RG2R 3m3cN8lR2utPwrWylDc85iEon+R+7VUgCbbXiUCjs8HYI6DLZxJMQsPcmqCn OTdx/0CPbGgUCdwbTlQoDwfiuge7RmwfkKDl+E9dt30AMg0zXqg8IkHz5qjP qUF/LMq7pP0ugQSjtNxSDW4/VAiWPMCXQUKzufxvM9oFZOteW/XxJQl2cu5y AuG++HlqtDMji4S8/pofGY4+GG1TeNwwnwQuD4dRYYPz6LnyX+qaor95EwOs Y6ieeKD65vjXkr/+imrEBqQ8kFQ7eiGkggS1J2+c3uidwt6ht7pWSAK6n/lt ctYNS2IobMUaEk7L7mpPynHB82zG3doGEka8MgiNYUc0KbQ9FNNEQhqsV/Uc PIZK7oSEWysJgwN0ija3HfZ3RD3j/kBCeJBtrTnNAt/cXnD90E2C7J3Fc1mO 5hijd0I19RMJh4uIw1IGh9CbUT/t20eCw5z82JiUCZqmaxbtHSQhp1P4MeoZ orJ9rJ/4MAlVJhHnX+TsRS4R9q6RURK+vtFp1B3ehYO0kysKvpGgK+47r8+9 HcuutDYGTZBwObnF7RhtM8Zu2Bpl/pOEva3hKioGmugzkmhJoZMgXF8l8F5P Gc3iVsjMzJCQaOHYe2R4LaqYeQ4Rv0kInipPP0+TwBWcXWnRC3/7qtKY/KHH i1+K9TyclkmwSS5Z/4g2W1XhkbpRi0UCT4ysxgjtQ1WcvNAcSZLw///L/wBy hh/O "]]}, "Charting`Private`Tag$6491#3"]}}, {}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"\!\(\*SubscriptBox[\(E\), \(c\)]\)", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {-9.04982805264164, 0.0001254916798991701}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=5", "U=10", "U=20"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.771208520121052*^9, 3.7712085847780857`*^9}, { 3.771208757235133*^9, 3.771208802112856*^9}}, CellLabel->"Out[17]=",ExpressionUUID->"de414289-7935-4c13-8aff-1a5987e6b958"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Different form of the exact functional", "Subsubsection", CellChangeTimes->{{3.771208983150835*^9, 3.771208990450161*^9}},ExpressionUUID->"9391275f-419e-4780-bf5a-\ 704aa9d9fd2c"], Cell[TextData[StyleBox["Hopping term", FontWeight->"Bold"]], "Text", CellChangeTimes->{{3.771209402592237*^9, 3.771209431082522*^9}},ExpressionUUID->"0218b203-95a9-4fa5-b0fe-\ e5b617c8a5c4"], Cell[BoxData[ RowBox[{ RowBox[{"F", "[", "\[Rho]", "]"}], "\[Equal]", RowBox[{ UnderscriptBox["Min", "g"], " ", RowBox[{"f", "[", RowBox[{"g", ",", "\[Rho]"}], "]"}], "\t", RowBox[{ SubscriptBox["f", "1"], "[", RowBox[{"g", ",", "\[Rho]"}], "]"}]}], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g"}], "+", RowBox[{"2", "t", " ", "u", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}]}]], "Input", CellChangeTimes->{ 3.771209200036745*^9, {3.771209246290516*^9, 3.771209312882636*^9}, { 3.771209367044862*^9, 3.77120937006356*^9}, {3.771209412929771*^9, 3.771209416169512*^9}, {3.771209459733844*^9, 3.7712094638022757`*^9}},ExpressionUUID->"4c21cb09-8d5e-4aaa-9762-\ 9762e69e05a7"], Cell["\<\ Minimizing F wrt g is equivalent to finding one of the roots of the following \ polynomial:\ \>", "Text", CellChangeTimes->{{3.771567104972465*^9, 3.77156713851591*^9}, { 3.771567320284526*^9, 3.77156732169971*^9}, {3.771568514636239*^9, 3.771568522523953*^9}},ExpressionUUID->"50a1fda8-1377-4469-89b6-\ fac30b3f57d3"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox["g", "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox["g", "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox["g", "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "g"}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "\[Equal]", "0"}]], "Input",\ ExpressionUUID->"4ec52247-b681-4bc8-9c6c-8b4ac8b2ad46"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"u", "=", "1"}], ",", RowBox[{"\[Rho]", "=", RowBox[{"2", "/", "10"}]}]}], "}"}], ",", RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g"}], "+", RowBox[{"2", "t", " ", "u", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}], ",", "g"}], "]"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.771568502181675*^9, 3.771568504284729*^9}}, CellLabel-> "In[163]:=",ExpressionUUID->"3799a252-a997-4e88-9f74-ac215a76eca5"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.5610963717449432`"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.8952374901616379`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{3.7715685049707623`*^9}, CellLabel-> "Out[163]=",ExpressionUUID->"dfbb54e5-83f9-4b32-b8db-a76f0c22e1c4"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"u", "=", "1"}], ",", RowBox[{"\[Rho]", "=", RowBox[{"2", "/", "10"}]}]}], "}"}], ",", RowBox[{"NSolve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox["g", "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox["g", "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox["g", "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "g"}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "\[Equal]", "0"}], ",", "g"}], "]"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.771567243597698*^9, 3.7715672845321817`*^9}}, CellLabel-> "In[107]:=",ExpressionUUID->"81aa1813-6a49-47a4-a7eb-a5de6fa57eae"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.8797647276507626`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.33183944306382684`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.020641368011958938`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.16850402428245528`", "\[VeryThinSpace]", "-", RowBox[{"0.44652370276078823`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.16850402428245528`", "\[VeryThinSpace]", "+", RowBox[{"0.44652370276078823`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.8952374901616379`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.771567273971918*^9, 3.7715672851318693`*^9}}, CellLabel-> "Out[107]=",ExpressionUUID->"26cff213-1645-4a31-801f-14b8b972f3d6"] }, Open ]], Cell[TextData[StyleBox["Electron-electron term", FontWeight->"Bold"]], "Text", CellChangeTimes->{{3.771209402592237*^9, 3.7712094482429867`*^9}},ExpressionUUID->"f4a27aa6-73c9-4dcf-8ee7-\ 37aaf9296606"], Cell[BoxData[ RowBox[{ RowBox[{"F", "[", "\[Rho]", "]"}], "\[Equal]", RowBox[{ UnderscriptBox["Min", "f"], " ", RowBox[{ SubscriptBox["f", "2"], "[", RowBox[{"f", ",", "\[Rho]"}], "]"}], "\t", RowBox[{ SubscriptBox["f", "2"], "[", RowBox[{"f", ",", "\[Rho]"}], "]"}]}], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", SqrtBox[ RowBox[{"1", "-", "f"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"f", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"f", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "t", " ", "u", " ", "f"}]}]}]], "Input", CellChangeTimes->{{3.771567775140232*^9, 3.771567777108326*^9}, { 3.771567820676931*^9, 3.771567863147984*^9}}, CellLabel-> "In[126]:=",ExpressionUUID->"179f71a2-3a7d-467f-a335-5c427712a037"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"u", "=", "1"}], ",", RowBox[{"\[Rho]", "=", RowBox[{"2", "/", "10"}]}]}], "}"}], ",", RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", SqrtBox[ RowBox[{"1", "-", "f"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"f", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"f", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "t", " ", "u", " ", "f"}]}], ",", "f"}], "]"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.7715680400613194`*^9, 3.7715680623722057`*^9}}, CellLabel-> "In[138]:=",ExpressionUUID->"0fd0c53a-40f4-4206-8782-637a03964009"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.5610963717449434`"}], ",", RowBox[{"{", RowBox[{"f", "\[Rule]", "0.3341411184166945`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.7715680599235477`*^9, 3.771568062968989*^9}}, CellLabel-> "Out[138]=",ExpressionUUID->"700654dc-d710-4b0f-b925-1c7a02c71a5c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"u", "=", "1"}], ",", RowBox[{"\[Rho]", "=", RowBox[{"2", "/", "10"}]}]}], "}"}], ",", RowBox[{"NSolve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"8", " ", SuperscriptBox["f", "5"], " ", SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"4", " ", SuperscriptBox["f", "6"], " ", SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"4", " ", SuperscriptBox["f", "3"], " ", SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{ RowBox[{"(", RowBox[{"13", "+", RowBox[{"4", " ", SuperscriptBox["u", "2"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "2"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{ RowBox[{"(", RowBox[{"2", "+", RowBox[{"8", " ", SuperscriptBox["u", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["u", "4"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", SuperscriptBox["\[Rho]", "4"]}], ")"}]}], "+", RowBox[{"4", " ", SuperscriptBox["f", "4"], " ", SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "+", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ")"}]}], "-", RowBox[{"4", " ", SuperscriptBox["f", "2"], " ", SuperscriptBox["\[Rho]", "2"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{ SuperscriptBox["u", "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "2"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"3", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ")"}]}], "+", RowBox[{"4", " ", "f", " ", SuperscriptBox["\[Rho]", "2"], " ", RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Rho]", "2"], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{ RowBox[{"(", RowBox[{"5", "+", RowBox[{"2", " ", SuperscriptBox["u", "2"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ")"}]}]}], "\[Equal]", "0"}], ",", "f"}], "]"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.771568968861607*^9, 3.7715690659647007`*^9}}, CellLabel-> "In[191]:=",ExpressionUUID->"e2d8831f-ff7e-47ad-acf0-58a98021c378"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"f", "\[Rule]", RowBox[{ RowBox[{"-", "0.1742178617496342`"}], "-", RowBox[{"0.11625937625299562`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"f", "\[Rule]", RowBox[{ RowBox[{"-", "0.1742178617496342`"}], "+", RowBox[{"0.11625937625299562`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"f", "\[Rule]", "0.2951062888403213`"}], "}"}], ",", RowBox[{"{", RowBox[{"f", "\[Rule]", "0.334141118416695`"}], "}"}], ",", RowBox[{"{", RowBox[{"f", "\[Rule]", "0.7296200908106802`"}], "}"}], ",", RowBox[{"{", RowBox[{"f", "\[Rule]", "0.9895682254315711`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.771568981921731*^9, 3.771569066597309*^9}}, CellLabel-> "Out[191]=",ExpressionUUID->"07bf00a1-57d9-41f5-bcc8-979850a65268"] }, Open ]], Cell[TextData[StyleBox["Asymmetric limit", FontWeight->"Bold"]], "Text", CellChangeTimes->{{3.771209402592237*^9, 3.771209408547235*^9}},ExpressionUUID->"0d54fa00-36e6-44e4-ad63-\ 700a95b9378d"], Cell[BoxData[ RowBox[{ RowBox[{"F", "[", "\[Rho]", "]"}], "\[Equal]", RowBox[{ UnderscriptBox["Min", "l"], " ", RowBox[{ SubscriptBox["f", "3"], "[", RowBox[{"l", ",", "\[Rho]"}], "]"}], "\t", RowBox[{ SubscriptBox["f", "3"], "[", RowBox[{"l", ",", "\[Rho]"}], "]"}]}], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", SqrtBox[ RowBox[{ RowBox[{"2", "l"}], "-", SuperscriptBox["l", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], "+", " ", RowBox[{"2", "u", " ", "t", " ", FractionBox[ RowBox[{ SuperscriptBox["l", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"2", "l"}]]}]}]}]], "Input", CellChangeTimes->{{3.771209261991597*^9, 3.7712092623273897`*^9}, { 3.771209302167514*^9, 3.771209342336794*^9}, 3.7715681609563923`*^9},ExpressionUUID->"6d9ca4dc-3f63-4e01-85f3-\ 7d40d87e0a7e"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"u", "=", "1"}], ",", RowBox[{"\[Rho]", "=", RowBox[{"2", "/", "10"}]}]}], "}"}], ",", RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", SqrtBox[ RowBox[{ RowBox[{"2", "l"}], "-", SuperscriptBox["l", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], "+", " ", RowBox[{"2", "u", " ", "t", " ", FractionBox[ RowBox[{ SuperscriptBox["l", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"2", "l"}]]}]}], ",", "l"}], "]"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.771568166229588*^9, 3.771568168236577*^9}}, CellLabel-> "In[156]:=",ExpressionUUID->"200bba2b-58de-43b2-8269-7a3f6fc51691"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.5610963717449434`"}], ",", RowBox[{"{", RowBox[{"l", "\[Rule]", "0.6018168308314735`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{3.7715681692631598`*^9, 3.771568409071088*^9}, CellLabel-> "Out[156]=",ExpressionUUID->"8a16cc8e-49c1-413f-93d3-76e9d94b6f55"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"u", "=", "1"}], ",", RowBox[{"\[Rho]", "=", RowBox[{"2", "/", "10"}]}]}], "}"}], ",", RowBox[{"NSolve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["l", "6"], " ", RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"2", " ", SuperscriptBox["l", "5"], " ", RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}]}], "+", RowBox[{ SuperscriptBox["l", "4"], " ", RowBox[{"(", RowBox[{"4", "-", RowBox[{ SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], "+", RowBox[{"4", " ", SuperscriptBox["l", "3"], " ", SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{ SuperscriptBox["l", "2"], " ", SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"2", " ", "l", " ", SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "6"]}]}], "\[Equal]", "0"}], ",", "l"}], "]"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.771568199861809*^9, 3.771568245516262*^9}, 3.771568284527399*^9, {3.771568344446763*^9, 3.771568398525489*^9}}, CellLabel-> "In[157]:=",ExpressionUUID->"698ec944-d0f2-4a5e-9a23-ed903f13e9a0"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"l", "\[Rule]", RowBox[{ RowBox[{"-", "0.0658205247086243`"}], "-", RowBox[{"0.07059447543784655`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"l", "\[Rule]", RowBox[{ RowBox[{"-", "0.0658205247086243`"}], "+", RowBox[{"0.07059447543784655`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"l", "\[Rule]", "0.020421552949129614`"}], "}"}], ",", RowBox[{"{", RowBox[{"l", "\[Rule]", "0.07810923422181452`"}], "}"}], ",", RowBox[{"{", RowBox[{"l", "\[Rule]", "0.6018168308314735`"}], "}"}], ",", RowBox[{"{", RowBox[{"l", "\[Rule]", "1.431293431414831`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.771568200866891*^9, 3.7715682460233603`*^9}, { 3.771568331200035*^9, 3.771568352326545*^9}, {3.771568385782135*^9, 3.771568410243572*^9}}, CellLabel-> "Out[157]=",ExpressionUUID->"656b5ba2-df67-4684-a95f-2c7a4fd7ec8f"] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Self-consistent Kohn-Sham module", "Subsection", CellChangeTimes->{{3.772553981003195*^9, 3.772553988115407*^9}},ExpressionUUID->"303856df-d695-43aa-a8eb-\ 8d8afd0855a6"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"KS", "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]v_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "Ts", ",", "EHx", ",", "EKS", ",", "Vext", ",", "\[CapitalDelta]n", ",", RowBox[{"\[Lambda]", "=", "0"}], ",", RowBox[{"\[Delta]", "=", SuperscriptBox["10", RowBox[{"-", "4"}]]}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"\[CapitalDelta]n", "=", RowBox[{"Chop", "[", RowBox[{"\[CapitalDelta]n", "/.", RowBox[{"FindRoot", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox[ RowBox[{"t", "/", "2"}], SqrtBox[ RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}]]], "\[CapitalDelta]n"}], "+", RowBox[{ FractionBox["U", "4"], "\[CapitalDelta]n"}], "+", RowBox[{"\[Lambda]", " ", FractionBox[ RowBox[{ RowBox[{"F0", "[", RowBox[{"t", ",", "U", ",", RowBox[{"\[CapitalDelta]n", "+", "\[Delta]"}]}], "]"}], "-", RowBox[{"F0", "[", RowBox[{"t", ",", "U", ",", RowBox[{"\[CapitalDelta]n", "-", "\[Delta]"}]}], "]"}]}], RowBox[{"2", "\[Delta]"}]]}], "+", FractionBox["\[CapitalDelta]v", "2"]}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]n", ",", "0.9"}], "}"}]}], "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Print", "[", "\[CapitalDelta]n", "]"}], ";", "\[IndentingNewLine]", RowBox[{"Ts", "=", RowBox[{ RowBox[{"-", "2"}], "t", SqrtBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "-", FractionBox["\[CapitalDelta]n", "2"]}], ")"}], " ", RowBox[{"(", RowBox[{"1", "+", FractionBox["\[CapitalDelta]n", "2"]}], ")"}]}]]}]}], ";", "\t", RowBox[{"EHx", "=", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}]}], ";", "\t", RowBox[{"Vext", "=", FractionBox[ RowBox[{"\[CapitalDelta]v", " ", "\[CapitalDelta]n"}], "2"]}], ";", "\[IndentingNewLine]", RowBox[{"EKS", "=", RowBox[{"Ts", "+", "EHx", "+", "Vext", "+", RowBox[{"\[Lambda]", " ", RowBox[{"F0", "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]n"}], "]"}]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", RowBox[{"Chop", "[", "EKS", "]"}], "]"}], ";"}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", InitializationCell->True, CellChangeTimes->{{3.772525378601912*^9, 3.772525384856331*^9}, { 3.772525508639717*^9, 3.772525788372903*^9}, {3.7725260097170773`*^9, 3.77252615021871*^9}, {3.772526506071969*^9, 3.772526612335966*^9}, { 3.77252793551991*^9, 3.7725279365055523`*^9}, {3.7725282127013607`*^9, 3.772528238735358*^9}, {3.772528284737956*^9, 3.772528427247438*^9}, { 3.7725284637280188`*^9, 3.772528463913679*^9}, {3.7725285356508007`*^9, 3.772528548483574*^9}, {3.7725285821202173`*^9, 3.772528592357127*^9}, { 3.772528674949999*^9, 3.772528721579783*^9}, {3.77252878035653*^9, 3.772528795509471*^9}, {3.772528923217143*^9, 3.772528984044462*^9}, 3.77252903016821*^9, {3.772529086455533*^9, 3.7725291703359203`*^9}, { 3.772529221724977*^9, 3.772529318179757*^9}, {3.772529371424343*^9, 3.7725293737010193`*^9}, {3.772529406698001*^9, 3.7725295240551777`*^9}, { 3.772529571978063*^9, 3.772529590206194*^9}, {3.7725296312608356`*^9, 3.772529740150901*^9}, {3.772529770839847*^9, 3.7725298106644297`*^9}, { 3.77252989456701*^9, 3.772529947769703*^9}, {3.7725300074722633`*^9, 3.77253000792196*^9}, {3.772530067380609*^9, 3.772530080079603*^9}, { 3.772530110388657*^9, 3.772530158947775*^9}, 3.772531497647974*^9, { 3.7725316253110847`*^9, 3.772531654816414*^9}, {3.772531688987617*^9, 3.77253187622441*^9}, {3.7725319648176737`*^9, 3.7725320665411043`*^9}, { 3.772532101034523*^9, 3.772532133391629*^9}, {3.7725322121971083`*^9, 3.7725324374122868`*^9}, {3.772532639937007*^9, 3.7725326768637533`*^9}, { 3.7725329029057217`*^9, 3.77253295120061*^9}, {3.7725330300786*^9, 3.772533081221402*^9}, {3.77253327714927*^9, 3.7725333503571243`*^9}, { 3.772534164916113*^9, 3.772534186168706*^9}, {3.772534219450694*^9, 3.772534558428087*^9}, {3.772534686101811*^9, 3.772534864403307*^9}, { 3.772534911141062*^9, 3.772534926283504*^9}, {3.772534971470553*^9, 3.772534980625388*^9}, {3.772537325843511*^9, 3.772537393551764*^9}, { 3.772538219402133*^9, 3.7725382197986593`*^9}, {3.772538366645162*^9, 3.7725383788830957`*^9}, {3.772538416415205*^9, 3.772538535416518*^9}, { 3.772538601179194*^9, 3.772538741911829*^9}, 3.772538791745427*^9, 3.772538837315796*^9, 3.772538871791328*^9, {3.772538925818534*^9, 3.772538997639818*^9}, {3.772539052726008*^9, 3.7725390762263117`*^9}, { 3.772539108349154*^9, 3.7725391318959093`*^9}, {3.772539181772654*^9, 3.7725392468315153`*^9}, {3.7725392955661182`*^9, 3.772539366315239*^9}, 3.772539399105878*^9, {3.772539430034223*^9, 3.772539535109761*^9}, { 3.772539570047182*^9, 3.772539612931241*^9}, {3.772539649938045*^9, 3.772539698042241*^9}, {3.772539766028449*^9, 3.772539772057725*^9}, { 3.772539937042623*^9, 3.772539977293972*^9}, {3.772540047898638*^9, 3.7725401021093473`*^9}, {3.7725401537718077`*^9, 3.7725401556969147`*^9}, {3.772540192406399*^9, 3.772540233366734*^9}, { 3.7725402741099997`*^9, 3.772540587863901*^9}, {3.7725406804431*^9, 3.772540718948474*^9}, {3.772540775047213*^9, 3.772540812138711*^9}, { 3.772554042746235*^9, 3.772554052099414*^9}, {3.77255416000914*^9, 3.772554181866561*^9}, {3.7725542482669764`*^9, 3.772554295189995*^9}, { 3.7725543540498457`*^9, 3.772554358372336*^9}, 3.772554398655766*^9, { 3.772554438972499*^9, 3.7725544898871527`*^9}, {3.77255452000086*^9, 3.772554573528192*^9}, {3.772554621886701*^9, 3.772554749261127*^9}, { 3.772554786475766*^9, 3.772554800102585*^9}, {3.772555011372038*^9, 3.772555073907909*^9}, {3.7725551321770782`*^9, 3.7725551455494423`*^9}, { 3.772555771368313*^9, 3.772555790870488*^9}, {3.7725558373877697`*^9, 3.772555887478459*^9}, {3.7725572096473627`*^9, 3.7725572430885477`*^9}, 3.772557287180921*^9, {3.772557357800108*^9, 3.772557437812223*^9}, { 3.7725574681053143`*^9, 3.7725575481768913`*^9}}, CellLabel->"In[38]:=",ExpressionUUID->"ab80b4c1-ea43-428f-9b95-a5289c2baae7"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", "1"}], ",", RowBox[{"U", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"\[CapitalDelta]v", "=", RowBox[{"-", "1"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"KS", "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{ RowBox[{ RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}], "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], "\[CapitalDelta]n"}]}], ")"}], "2"]}]]}], "/.", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "\[CapitalDelta]v"}], "-", RowBox[{"U", " ", "\[CapitalDelta]n"}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", RowBox[{"\[CapitalDelta]n", "/", "2"}]}]}], ")"}], "2"]}]]]}], ",", "\[CapitalDelta]n"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}]}], "}"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.772525716677062*^9, 3.772525718931591*^9}, { 3.7725265315518703`*^9, 3.7725265317955847`*^9}, 3.7725266575113583`*^9, 3.7725281113279448`*^9, 3.77252840728703*^9, {3.772528597773542*^9, 3.7725285978907146`*^9}, 3.772529402474642*^9, {3.7725294826158333`*^9, 3.7725295057993927`*^9}, {3.772530172194769*^9, 3.7725301923629227`*^9}, { 3.772531209260611*^9, 3.772531240074465*^9}, {3.77253147793408*^9, 3.772531492481083*^9}, {3.772532441603272*^9, 3.772532450040345*^9}, { 3.772532963325108*^9, 3.772532973561801*^9}, {3.772533048668293*^9, 3.772533049447357*^9}, {3.77253326260257*^9, 3.772533265472055*^9}, { 3.772533334706036*^9, 3.7725333359128017`*^9}, 3.772534197772649*^9, { 3.7725345759113483`*^9, 3.7725345789784*^9}, 3.7725348136117363`*^9, 3.77253487909286*^9, {3.772537220914569*^9, 3.772537221370356*^9}, { 3.772538700113695*^9, 3.7725387036455507`*^9}, {3.772538969259788*^9, 3.7725390399379168`*^9}, {3.772539087409583*^9, 3.7725391194030647`*^9}, { 3.772539152392961*^9, 3.7725392047968693`*^9}, {3.772539255195562*^9, 3.772539278314344*^9}, 3.7725393837119083`*^9, 3.772539544308153*^9, 3.7725401151131144`*^9, 3.772540493746552*^9, {3.772540750928297*^9, 3.772540763458563*^9}, {3.772540796446632*^9, 3.772540797147954*^9}, { 3.772554306065277*^9, 3.7725543782652273`*^9}, {3.772554430975658*^9, 3.772554443619561*^9}, {3.772554582220561*^9, 3.7725546343349257`*^9}, { 3.772554759325252*^9, 3.772554770484626*^9}, {3.772555758522505*^9, 3.772555765009233*^9}, {3.7725558448532867`*^9, 3.772555845197423*^9}, 3.772557486642352*^9}, CellLabel-> "In[223]:=",ExpressionUUID->"b43ba148-6596-4d65-98df-c1c1324eff93"], Cell[BoxData["0.7522973071014158`"], "Print", CellChangeTimes->{{3.772554277466357*^9, 3.772554400666066*^9}, { 3.772554431736393*^9, 3.772554802973935*^9}, {3.772555019107535*^9, 3.7725550756164293`*^9}, {3.7725551338086147`*^9, 3.772555147387598*^9}, { 3.772555756162785*^9, 3.772555805376235*^9}, {3.772555838926757*^9, 3.772555889010872*^9}, {3.772557215090032*^9, 3.772557244720379*^9}, { 3.772557339690269*^9, 3.7725575497869997`*^9}}, CellLabel-> "During evaluation of \ In[223]:=",ExpressionUUID->"6ac6122d-4de1-482b-a0b2-60f372bb7ef3"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "1.9438953594555661`"}], ",", RowBox[{"-", "1.9542624172751606`"}], ",", RowBox[{"-", "1.9438953594555664`"}]}], "}"}]], "Output", CellChangeTimes->{{3.772525719892108*^9, 3.772525751008522*^9}, 3.7725257841914387`*^9, 3.7725258302742567`*^9, {3.772526084695076*^9, 3.7725261517448263`*^9}, 3.7725266187548933`*^9, 3.77252666220604*^9, 3.772527081559593*^9, 3.772527959335676*^9, 3.772528013924512*^9, 3.772528118517664*^9, 3.7725282246783943`*^9, {3.772528295211493*^9, 3.772528351477022*^9}, {3.772528383217029*^9, 3.772528417670089*^9}, 3.772528465555851*^9, {3.77252854108676*^9, 3.772528549722891*^9}, { 3.772528583996025*^9, 3.772528598193344*^9}, 3.772528724673527*^9, { 3.772528790858856*^9, 3.7725287969435377`*^9}, 3.772528974256104*^9, { 3.772529010377741*^9, 3.7725290318608637`*^9}, {3.7725291001278563`*^9, 3.772529171613234*^9}, {3.772529242068063*^9, 3.7725292529179983`*^9}, { 3.7725293017915087`*^9, 3.772529319846855*^9}, {3.772529377382567*^9, 3.7725294111188297`*^9}, {3.7725294628274937`*^9, 3.772529525300949*^9}, { 3.772529574039721*^9, 3.772529600366428*^9}, {3.772529666525004*^9, 3.772529689546756*^9}, {3.772529721373263*^9, 3.772529736891796*^9}, { 3.772529772483583*^9, 3.7725298121943617`*^9}, {3.772529896280685*^9, 3.772529903140978*^9}, 3.7725299620917377`*^9, 3.772530009458666*^9, { 3.772530069401561*^9, 3.772530081898473*^9}, {3.7725301181976547`*^9, 3.7725301928372498`*^9}, {3.77253121105434*^9, 3.772531240535891*^9}, { 3.772531478442872*^9, 3.772531499004331*^9}, 3.772531579173974*^9, { 3.772531656452278*^9, 3.7725318778334427`*^9}, {3.7725319815627832`*^9, 3.772532023855412*^9}, 3.772532068913199*^9, 3.772532106436391*^9, { 3.772532137252907*^9, 3.77253215067494*^9}, 3.772532234999078*^9, { 3.772532268185704*^9, 3.772532450616275*^9}, 3.772532645238649*^9, 3.772532685095503*^9, {3.772532928743683*^9, 3.772532974004587*^9}, { 3.772533035814323*^9, 3.772533082563607*^9}, {3.772533263350554*^9, 3.772533351806691*^9}, {3.772534170632092*^9, 3.772534329638575*^9}, { 3.772534364265709*^9, 3.77253457950983*^9}, {3.772534696955366*^9, 3.772534719791106*^9}, {3.7725347504734793`*^9, 3.772534879654479*^9}, 3.772534922035882*^9, {3.772534976083788*^9, 3.772534982001487*^9}, 3.77253722189749*^9, {3.7725373162720337`*^9, 3.772537327698496*^9}, { 3.7725373612643547`*^9, 3.772537396033609*^9}, 3.772537872308867*^9, 3.772538221757444*^9, 3.7725383808110313`*^9, {3.7725384183328323`*^9, 3.7725384705202093`*^9}, {3.772538516091475*^9, 3.7725385570432653`*^9}, { 3.772538662318241*^9, 3.772538704296281*^9}, 3.772538744303219*^9, 3.772538793984046*^9, 3.7725388393769493`*^9, {3.772538928102522*^9, 3.772539474121765*^9}, {3.772539518807617*^9, 3.7725395447749157`*^9}, { 3.772539578127233*^9, 3.7725396023373547`*^9}, {3.772539654084256*^9, 3.772539699473572*^9}, {3.7725397617800093`*^9, 3.772539773759997*^9}, { 3.7725399279056053`*^9, 3.7725399791860867`*^9}, {3.772540040880962*^9, 3.772540115747058*^9}, {3.772540149252207*^9, 3.772540157221442*^9}, { 3.772540189399254*^9, 3.772540235023271*^9}, {3.772540299807056*^9, 3.772540494569075*^9}, {3.772540548804516*^9, 3.772540590312883*^9}, { 3.772540670789657*^9, 3.772540720840794*^9}, {3.7725407520070667`*^9, 3.7725408142090883`*^9}, {3.772554029884104*^9, 3.772554054022291*^9}, { 3.772554173161654*^9, 3.772554184763979*^9}, {3.772554250196697*^9, 3.772554400677761*^9}, {3.772554431753418*^9, 3.772554803000689*^9}, { 3.772555019131852*^9, 3.772555075633387*^9}, {3.772555133821068*^9, 3.772555147407214*^9}, {3.772555756174115*^9, 3.772555805393009*^9}, { 3.7725558389391127`*^9, 3.77255588902144*^9}, {3.7725572151002703`*^9, 3.7725572447322702`*^9}, {3.772557339700438*^9, 3.772557549800537*^9}}, CellLabel-> "Out[223]=",ExpressionUUID->"8bd0a44f-0198-4769-92b3-c610788b005c"] }, Open ]], Cell[TextData[StyleBox["There\[CloseCurlyQuote]s still something wrong with \ this module!! I\[CloseCurlyQuote]m working on it.", FontColor->RGBColor[1, 0, 0]]], "Text", CellChangeTimes->{{3.777347068946988*^9, 3.7773470847786694`*^9}},ExpressionUUID->"94f4f5f2-8f48-4d6e-95eb-\ c0682823b89f"] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["Fundamental gap", "Section", CellChangeTimes->{{3.770885258991706*^9, 3.770885290706602*^9}},ExpressionUUID->"180da75d-d6da-4294-83be-\ eb5cb0a1711f"], Cell[CellGroupData[{ Cell["Generalities", "Subsection", CellChangeTimes->{{3.771000835887121*^9, 3.771000838424327*^9}},ExpressionUUID->"a00b16b1-ab0c-4a1e-b569-\ 0c62efa79adc"], Cell[BoxData[ RowBox[{"I", "=", RowBox[{ RowBox[{ RowBox[{"E", "[", RowBox[{"N", "-", "1"}], "]"}], "-", RowBox[{ RowBox[{"E", "[", "N", "]"}], "\t", "A"}]}], "=", RowBox[{ RowBox[{ RowBox[{"E", "[", "N", "]"}], "-", RowBox[{ RowBox[{"E", "[", RowBox[{"N", "+", "1"}], "]"}], "\t", SubscriptBox["E", "g"]}]}], "=", RowBox[{"I", "-", "A"}]}]}]}]], "Input", CellChangeTimes->{{3.770885276355899*^9, 3.770885306619177*^9}, 3.770994173902697*^9, 3.770997684120804*^9}, FontSlant->"Italic",ExpressionUUID->"3acf86f8-9f34-4569-8969-b727485524ee"], Cell[BoxData[ RowBox[{ SuperscriptBox["\[Epsilon]", "HOMO"], "=", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "I"}], "\t", SuperscriptBox["\[Epsilon]", "LUMO"]}], "\[NotEqual]", RowBox[{ RowBox[{"-", "A"}], "\t", SubscriptBox["E", "gs"]}]}], "=", RowBox[{ RowBox[{ SuperscriptBox["\[Epsilon]", "LUMO"], "-", RowBox[{ SuperscriptBox["\[Epsilon]", "HOMO"], "\t", SubscriptBox["E", "g"]}]}], "=", RowBox[{ SubscriptBox["E", "gs"], "+", SubscriptBox["\[CapitalDelta]", "xc"]}]}]}]}]], "Input", CellChangeTimes->{{3.770885312249711*^9, 3.77088538598844*^9}},ExpressionUUID->"35c0dd23-5c05-4c69-be85-\ 39e26f970bf2"], Cell[TextData[{ Cell[BoxData[ FormBox[ SubscriptBox["\[CapitalDelta]", "xc"], TraditionalForm]], FontColor->RGBColor[1, 0, 0],ExpressionUUID-> "745ef00e-3197-4a0b-9589-7f898b932ed6"], StyleBox[" is the infamous derivative discontinuity", FontColor->RGBColor[1, 0, 0]] }], "Text", CellChangeTimes->{{3.770885405730452*^9, 3.7708854222104397`*^9}},ExpressionUUID->"eab1f64f-b139-4ce9-95de-\ d2d5fe4bae39"] }, Closed]], Cell[CellGroupData[{ Cell["Energies of the 1-, 2- and 3-electron systems", "Subsection", CellChangeTimes->{{3.770992842898305*^9, 3.770992852267375*^9}},ExpressionUUID->"a236afb1-fee9-4e78-a9e4-\ 6831b606a674"], Cell[CellGroupData[{ Cell["One-electron system", "Subsubsection", CellChangeTimes->{{3.7709928695004*^9, 3.770992873363358*^9}},ExpressionUUID->"024417bc-e010-451d-ae55-\ f0bed56a179d"], Cell["Configurations: \[LeftBracketingBar]1\[UpArrow]\[RightAngleBracket], \ \[LeftBracketingBar]2\[UpArrow]\[RightAngleBracket]", "Text", CellChangeTimes->{{3.7709928960965157`*^9, 3.7709929505092907`*^9}, { 3.770999582704067*^9, 3.770999584669379*^9}},ExpressionUUID->"f0121dc7-aa56-4e4c-8058-\ a1ccd25d1659"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "1"], "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]v_"}], "]"}], "=", RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{"-", FractionBox["\[CapitalDelta]v", "2"]}], RowBox[{"-", "t"}]}, { RowBox[{"-", "t"}], FractionBox["\[CapitalDelta]v", "2"]} }], "\[NoBreak]", ")"}], "]"}], "//", "FullSimplify"}]}]], "Input", CellChangeTimes->{{3.770998826626719*^9, 3.770998855481907*^9}}, CellLabel-> "In[132]:=",ExpressionUUID->"ba093f4d-a2f9-483c-99a4-38f2629c2e17"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], " ", SqrtBox[ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}]]}], ",", RowBox[{ FractionBox["1", "2"], " ", SqrtBox[ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}]]}]}], "}"}]], "Output", CellChangeTimes->{{3.770998844706725*^9, 3.770998855868762*^9}, { 3.770999575560417*^9, 3.770999589005706*^9}}, CellLabel-> "Out[132]=",ExpressionUUID->"deb587d1-9ecf-4a74-9e06-c6fe2985f68e"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "1"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ SubscriptBox["\[Epsilon]", "1"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.7709940325044537`*^9, 3.7709940348880043`*^9}}, CellLabel-> "In[133]:=",ExpressionUUID->"e678ba71-cec9-4f03-a62f-15534828a18c"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Hk0ldsbB/BjfN0SkUPUlQynUCk0uDeet0mhbtx+hjgJCUlCJZSSsSsn IhlDuSVERVGmJ5kzlEudVHiNhTIP5yT83vZae+31+edZz37Wd+/VDqf/Pi7I YDDi6f3r5Jm43zY97WEgxvi1KAx1XLP2DesvsG1I9/zlxuFeVw7LFs7ahVUL 0M5mfkprS3aCa0FZ80K0R/N3Rbix3EGGK65A0FZQf1+8wPWC3Pc5yxfT1vcJ 31SX7A1qHyJ+SNK2qzHIiLb3A6/FmcikHSg7sZLNugTlfgIuK2n/l3eoLnoq AE4uip1Qoe34cX3wDDcQfvo4OKyjPSUgBuyiYNh41OXp5l/9qnfzXyaHAk/r 3gDQljMreap2+Sr4bpMTNKH9wOfW6XD7cJBIK5mzoF1fY9x3iHUdptwSUjxp 556XNmULR4GCY8OuANrnr13OuT4VBfx29YZI2mL5h10muNGg03E49Antt9XV VWp1MWBZy3peQTvho46KVdFNaPwp3fietoagREdJ8i0wObU9bYH2OPPCnyOc ODja6WXLFKCwWP1r/OrL8dBFFC9o0t5v9upQqH0ivDbyHLKhfTrNu+4gKwXm JwSdq2lve9rDCpRLhXXB5vo9tBmOa3daC6dBYEzcNEOQwrrzsakRU2nwzOi9 FNC2Tj1tPca9C0M3swaraBuos/4JN00Hpfv93AHayvmfC1Xq0sEiqT9DQojC oWojpkXRv+CaLD9qTfvisMrbouT7wC6IU5qnbefzcf4QMwPas0BFXZjC3YI3 1n/nZIAdx1vMnPYS2fnwVZcfAH4+4/eIdor+hz3B9lnQVMGddRehsDwiovgA KxfiP6mcWk5QWDbY1rA4MxdM4iXdLWiX7FvTUaf5CHpC0n1iadsI2jPSlz8G x9roLFkxCs3LZpVXKT4B9zTNALXfKDTesslFTj0f/LaH9p9dTOG+Pq6Ht2s+ xMrXXaigvffmJd932fmQF/lBfpk43e94fXjMhqfwJGCVxzPaBrlOOZK6zyBP MTpIVIJCHVbyOAGFIOUWsfXjUgq13+2cdQoopOc3aaYnReHG4AGh6vJCeF20 4mwC7Q3dW5jBu59DOpf9hi1N4dqU5q0M4xfgkhjfObKMwpWyhD/vf8XwGmvN 98pRKCLqRQy4IqRJlYoUK1L41eiy5EQGQvAHO3ftVRS+5kTIzfUicK6kF2XR rglvibmq9RJGSp/N3Vai8Jr0cHpy5kvYKvpBM1KZQhlllcrK2+VgojDOTGZR yNrBEWaGVoCzsfk/R7Xo/PfEiCX+WwGFuf9un6AtFpIovqqiAhxkWt6GbaRw sDZDRp1RCUa/uSXlb6LwkekrVX2/Sjjq3FXA1KXzZjez+7h7FcR1Co8J6VFo dNk+5JlFDTR+7y8J20XPJ7Lc8M7ZGnDNx36d3fR9U1eLcaJr4GZ1XB9Fe7Ss K9yxqQbUYz7Z6xtSeGvePmqZYS0caagwYxhR2OvvkOS5uQ6y3U1mcv6iMODi sSfrZeohD/VjM6wpLPQ93n6vuQlyTLTuLzlH4X2Dk1yF8SZ47DtjIOBN1xPy bI6UfgP36hLqpmh7cy5W+R56AxpWlfldPhRuuROTc+DdGxhmSHIrL9J56qXK /NzeQvwtQd3nwRR+XCwZqezRDEwJZ+bfsRS2WZ/U8jrfAlPXBsP2vaAwvHuv W1xoC3hY+Mw7FFH4h6tqZklsC/SIlulfKqYw2bddmXjaAgcbm5mFpfT7iD8o mzzaAueES9Zov6LwyzuduaoTraBrcPLRgXr6vzL9+Vqe/Q5cJQ9sku+gUGov x6mc5ILx8IY+nkgXLm09nrfV5hOUfXrZf8mpC1WU3DJDHDohSdNPcaG5C7e1 n6rfEd0FpaYmoxTZjeU/Ava3JvXA4xENQ25FN7pgbW1ZYB90+CfJntjbgwnH MhSYdl/Adin31qm3Pbjeqmt6/vgA+He5rmCf6sWOiYNNpNEQOOvJe30R7cPx TvmNsubfIerHQMHJp30Yle3nbGk5AqOJM5z9x/uRJSl2wCdpFIJtxENiJL9g gUdA9vXUMeDaBctyGr9gq1oMYRY9Drp/fTviEvQVVYNa1h5JmIAThs/SefsH UM+0Uzc1aRL+Die/i8oNYrtHiAEnYgrOPFrxYej9IObpHV5SdWMaFi8q8GJn DaGsRU3bg5AZCJMOVXji9Q2hm3Hj1VkeSBJ7/BP0vmOCrMsSlg8f6oys4njL hjEw5UTYZtcfMKYkkzjXNYy3m+Krr3vMwpCf/56QihH0d48Z/d3rJ3CPGukG mY3ikP3a5Ycd5mD1FbOipKJRvDY3KNzhNA97dkUyzqwfw6Jve0ckrBdgQxD7 tkvCGL5X29b9hyqDzPNXTuwXGkcX9WNaMfcYJCv4xQFVn3Est7C5sENRgCy8 e3O/dt846lgNZsrcESC/5rZ9EmVPoFuQIVd/hSC5SzfbJqR+Aq86if0QiBEk FS60/jTRm8TS3+0XBmWEyMFjg9qfH0/ii/lQIY3rQmSZVZhRl9IUNuXvGuRI CZNqAqarChKnsErJqToiWpi8t69Mu1R6GoMLze90LRIhS2Qy+pcETSNb+bOt DUeENOm8ra49N42zBVorNAlR0vTG0Lprp2fwotBAQ+wlUTLzbqzdt84ZlFXV s1djEKSGaN4mNWsenne3mFzkS5ARVc/bzjbwcOUWx1rWBYJ8GJTRcqaJhy/n PJN3+hPkVXH2f15vebiIw9ntd4UgW3qkOjxaeZiSXXlz4B+C/DMwasOpzzys /qq9uTaRID96t+U5feOhzDFJ75ASguxIeEgeEefjC43fje+UEWTeJaVmtgQf bcc1FEtfEmS/yBYn9lI+PrhiWD1ZSZAVnB0pNjJ8/DPNX9axke7nVvEe65V8 dGgfKtjZQZA5hns8rdbxkbjHD7elCLJX86CJ1QY+PnQjjvp1EySoDqhbbeTj 9KwykddPkCenayctdfkYrmBtuXqEIM/Vy5dbbuejVrezpv4YQR4eD0FLAz62 Zp5bsJogyJUhvq8sST4q6t3IiJohyIG08XeWu/lYwUi98JBPkIrC3v2Whnx0 qX14sHaWnk/YxVnLfXwUjypS6Z0jSHF5EaaVMR+fWNbOLCwQ5Lf7EjpW+/n4 fzWi2D0= "]]}, Annotation[#, "Charting`Private`Tag$14454#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Hk0ldsbB/BjfN0SkUPUlQznhkqhwb3xfZsU6sbtZ4iTkJAkVEIpGbty IpIxdN0SoqIoYzJnKJc6qfAaC2UM5yT83vZae+31+edZz37Wd+/VDqf+OibI YDDi6f3z5Jm43zI95WEgxvi5KIQ6/rbmFetP2Dame/5000ifK4dlizN2YTUC tLOZH9Lak51wNShrXoj2WP7OCDeWO2S44goEbQX1t8ULXC/kvs1Zvpi2vk/4 xvpkb6i9i/guSduu1iAj2t4PXoszy5m0A2UnV7JZF1HhJ+CykvZ/eQfro6cC cGJR7KQKbcf364JnuIH44ePgsJb2lIAY2EXB2HDE5fGmn/2q9/CfJ4eCp3Vn ELTlzEoeq126At+tcoImtO/53DwVbh8OibSSOQvaDbXG/QdZ1zDllpDiSTv3 nLQpWzgKCo6NOwNon7t6KefaVBT4HeqNkbTF8g+5THKjodN5KPQR7dc1NdVq 9TGwrGM9raSd8F5HxaroBpp+SDe9pa0hKNFZknwTJie3pS3QnmCe/2OUE4cj XV62TAEKxeqf41dfikc3UbygSXuf2YuDofaJeGnkOWxD+1Sad/0BVgrmJwWd a2hvfdzLCpRLxdpgc/1e2gzHNTushdMQGBM3zRCkUH8uNjViKg1PjN5KgbZ1 6inrce4/GL6RNVRN20Cd9Xe4aTqU7g5wB2kr538sVKlPh0XSQIaEEIXhGiOm RdG/cE2WH7OmfWFE5XVR8l2wC+KU5mnb+byfP8jMQEcWVNSFKewSvL7uKycD dhxvMXPaS2Tnw1dduofyj6f9HtBO0X+3O9g+C82V3Fl3EQoVERHF+1m5iP+g cnI5QaFsqL1xcWYuTOIl3S1ol+z9rbNe8wF6Q9J9YmnbCNoz0pc/hGNddJas GAXzslnlVYqP4J6mGaD2CwXjzRtd5NTz4bctdODMYgp7+7ke3q75iJWvP19J e8+Ni75vsvORF/lOfpk43e9EQ3jM+sd4FLDK4wltg1ynHEndJ8hTjA4SlaCg w0qeIFAIKbeILe+XUtB+s2PWKaCQnt83Mz0pChuCB4VqKgrxsmjFmQTa63s2 M4N3PUU6l/2KLU1hTUrLFobxM7gkxneNLqOwUpbw5/2vGC/L68z3yFEQEfUi Bl3LkSZVKlKsSOGz0SXJyYxyBL+zc9deReElJ0Jurq8cnMvpRVm0a8NbY65o Pcdo6ZO5W0oUrkqPpCdnPscW0XeakcoUZJRVqqpuVcBEYYKZzKLA2s4RZoZW wtnY/O8jWnT+e2PEEv+tRGHuv9smaYuFJIqvqqyEg0zr67ANFIbqMmTUGVUw +sUtKX8jhQemL1T1/apwxLm7gKlL581uZtcx92rEdQmPC+lRMLpkH/LEohZN XwdKwnbS84msMLx9phau+eUDOrvo+6auFuNE1+JGTVw/RXusrDvcsbkW6jEf 7PUNKdyct49aZliHw42VZgwjCn3+Dkmem+qR7W4yk/MnhYALRx+tk2lAXrl+ bIY1hULfYx13WpqRY6J1d8lZCncNTnAVJprx0HfGQMCbrifk2RIp/Qp36hPq p2h7cy5U+x58BQ2rqvxuHwqbb8fk7H/zCiMMSW7VBTpPfVSZn9trxN8U1H0a TOH9YslIZY8WMCWcmX/FUmi3PqHlda4VU1eHwvY+oxDes8ctLrQVHhY+8w5F FH53Vc0siW1Fr2iZ/sViCsm+HcrE41YcaGphFpbS7yP+gGzyWCvOCpf8pv2C wqc3OnPVx9uga3Diwf4G+r8y/fFSnv0GrpL7N8p3UpDaw3GqILkwHlnfzxPp xtK2Y3lbbD6g7MPzgYtO3VBRcssMcehCkqaf4kJLN7Z2nGzYHt2NUlOTMYrs QcX3gH1tSb14OKphyK3sgUt5XV1ZYD86/ZNkj+/pRcLRDAWm3SfYLuXePPm6 F+usuqfnjw3Cv9t1BftkHzonDzSTRsNw1pP3+iTaj4ku+Q2y5l8R9X2w4MTj fkRl+zlbWo5iLHGGs+/YAFiSYvt9ksYQbCMeEiP5CQUeAdnXUsfBtQuW5TR9 QptaDGEWPQHdP78cdgn6DNWg1jWHEyZx3PBJOm/fIPRMu3RTk77hr3Dyq6jc EDo8Qgw4EVM4/WDFu+G3Q8jTO7Sk+vo0Fi8q8GJnDUPWorb9XsgMwqRDFR55 fQF6GNdfnOFBktjtn6D3FQmyLktYPnzUG1nF8ZaNIDDleNgm1+8YV5JJnOse wa3m+JprHrMY9vPfHVI5Cn/3mLFfvX6Ae8RIN8hsDMP2a5YfcpjD6stmRUlF Y7g6NyTc6TSP3TsjGafXjaPoy55RCesFrA9i33JJGMdbta09v6syyDx/5cQB oQm4qB/VirnDIFnBz/ar+kygwsLm/HZFAbLwnxv7tPsnoGM1lClzW4D8nNv+ QZQ9CbcgQ67+CkFyp262TUjDJK44iX0XiBEkFc63/TDR+4bSX+0XhmSEyKGj Q9ofH37Ds/lQIY1rQmSZVZhRt9IUmvN3DnGkhEk1AdNVBYlTqFZyqomIFibv 7C3TLpWeRnCh+e3uRSJkiUzGwJKgabCVP9racERIk65b6tpz05gt0FqhSYiS pteH1149NYMLQoONsRdFycx/Yu2+dM1AVlXPXo1BkBqieRvVrHk4527xbZEv QUZUP20/08jDys2OdazzBHk/KKP1dDMPz+c8k3f4E+QVcfZ/Xq95WMTh7PK7 TJCtvVKdHm08pGRX3Rj8myD/CIxaf/IjDzWftTfVJRLke+/2PKcvPMgclfQO KSHIzoT75GFxPp5p/Gp8u4wg8y4qtbAl+LCd0FAsfU6QAyKbndhL+bh32bDm WxVBVnK2p9jI8PFHmr+sYxPdz83i3dYr+XDoGC7Y0UmQOYa7Pa3W8kHc4Yfb UgTZp3nAxGo9H/fdiCN+PQQJ1UF1qw18TM8qE3kDBHliuu6bpS4f4QrWlqtH CfJsg3yF5TY+tHqcNfXHCfLQREi5pQEfbZlnF6wmCXJliO8LS5IPRb3rGVEz BDmYNvHGchcflYzU8/f5BKko7D1gaciHS939A3Wz9HzCLsxa7uVDPKpIpW+O IMXlRZhWxnw8sqybWVggyC93JXSs9vHxfzSZjD0= "]]}, Annotation[#, "Charting`Private`Tag$14454#2"]& ]}, {}, {}}, InsetBox[ TemplateBox[{TagBox[ FrameBox[ StyleBox["1", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["2", Smaller, StripOnInput -> False]], "Placeholder"]}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ TagBox[#, HoldForm], ",", TagBox[#2, HoldForm]}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"E(N=1)\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-1.5, FormBox[ TagBox[ InterpretationBox["\"-1.5\"", -1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-1., FormBox[ TagBox[ InterpretationBox["\"-1.0\"", -1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-0.5, FormBox[ TagBox[ InterpretationBox["\"-0.5\"", -0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox["1", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {3., FormBox["3", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 3}, {-1.5811388010428642`, 1.5811388010428642`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1Hk0ldsbB/BjfN0SkUPUlQynUCk0uDeet0mhbtx+hjgJCUlCJZSSsSsn IhlDuSVERVGmJ5kzlEudVHiNhTIP5yT83vZae+31+edZz37Wd+/VDqf/Pi7I YDDi6f3r5Jm43zY97WEgxvi1KAx1XLP2DesvsG1I9/zlxuFeVw7LFs7ahVUL 0M5mfkprS3aCa0FZ80K0R/N3Rbix3EGGK65A0FZQf1+8wPWC3Pc5yxfT1vcJ 31SX7A1qHyJ+SNK2qzHIiLb3A6/FmcikHSg7sZLNugTlfgIuK2n/l3eoLnoq AE4uip1Qoe34cX3wDDcQfvo4OKyjPSUgBuyiYNh41OXp5l/9qnfzXyaHAk/r 3gDQljMreap2+Sr4bpMTNKH9wOfW6XD7cJBIK5mzoF1fY9x3iHUdptwSUjxp 556XNmULR4GCY8OuANrnr13OuT4VBfx29YZI2mL5h10muNGg03E49Antt9XV VWp1MWBZy3peQTvho46KVdFNaPwp3fietoagREdJ8i0wObU9bYH2OPPCnyOc ODja6WXLFKCwWP1r/OrL8dBFFC9o0t5v9upQqH0ivDbyHLKhfTrNu+4gKwXm JwSdq2lve9rDCpRLhXXB5vo9tBmOa3daC6dBYEzcNEOQwrrzsakRU2nwzOi9 FNC2Tj1tPca9C0M3swaraBuos/4JN00Hpfv93AHayvmfC1Xq0sEiqT9DQojC oWojpkXRv+CaLD9qTfvisMrbouT7wC6IU5qnbefzcf4QMwPas0BFXZjC3YI3 1n/nZIAdx1vMnPYS2fnwVZcfAH4+4/eIdor+hz3B9lnQVMGddRehsDwiovgA KxfiP6mcWk5QWDbY1rA4MxdM4iXdLWiX7FvTUaf5CHpC0n1iadsI2jPSlz8G x9roLFkxCs3LZpVXKT4B9zTNALXfKDTesslFTj0f/LaH9p9dTOG+Pq6Ht2s+ xMrXXaigvffmJd932fmQF/lBfpk43e94fXjMhqfwJGCVxzPaBrlOOZK6zyBP MTpIVIJCHVbyOAGFIOUWsfXjUgq13+2cdQoopOc3aaYnReHG4AGh6vJCeF20 4mwC7Q3dW5jBu59DOpf9hi1N4dqU5q0M4xfgkhjfObKMwpWyhD/vf8XwGmvN 98pRKCLqRQy4IqRJlYoUK1L41eiy5EQGQvAHO3ftVRS+5kTIzfUicK6kF2XR rglvibmq9RJGSp/N3Vai8Jr0cHpy5kvYKvpBM1KZQhlllcrK2+VgojDOTGZR yNrBEWaGVoCzsfk/R7Xo/PfEiCX+WwGFuf9un6AtFpIovqqiAhxkWt6GbaRw sDZDRp1RCUa/uSXlb6LwkekrVX2/Sjjq3FXA1KXzZjez+7h7FcR1Co8J6VFo dNk+5JlFDTR+7y8J20XPJ7Lc8M7ZGnDNx36d3fR9U1eLcaJr4GZ1XB9Fe7Ss K9yxqQbUYz7Z6xtSeGvePmqZYS0caagwYxhR2OvvkOS5uQ6y3U1mcv6iMODi sSfrZeohD/VjM6wpLPQ93n6vuQlyTLTuLzlH4X2Dk1yF8SZ47DtjIOBN1xPy bI6UfgP36hLqpmh7cy5W+R56AxpWlfldPhRuuROTc+DdGxhmSHIrL9J56qXK /NzeQvwtQd3nwRR+XCwZqezRDEwJZ+bfsRS2WZ/U8jrfAlPXBsP2vaAwvHuv W1xoC3hY+Mw7FFH4h6tqZklsC/SIlulfKqYw2bddmXjaAgcbm5mFpfT7iD8o mzzaAueES9Zov6LwyzuduaoTraBrcPLRgXr6vzL9+Vqe/Q5cJQ9sku+gUGov x6mc5ILx8IY+nkgXLm09nrfV5hOUfXrZf8mpC1WU3DJDHDohSdNPcaG5C7e1 n6rfEd0FpaYmoxTZjeU/Ava3JvXA4xENQ25FN7pgbW1ZYB90+CfJntjbgwnH MhSYdl/Adin31qm3Pbjeqmt6/vgA+He5rmCf6sWOiYNNpNEQOOvJe30R7cPx TvmNsubfIerHQMHJp30Yle3nbGk5AqOJM5z9x/uRJSl2wCdpFIJtxENiJL9g gUdA9vXUMeDaBctyGr9gq1oMYRY9Drp/fTviEvQVVYNa1h5JmIAThs/SefsH UM+0Uzc1aRL+Die/i8oNYrtHiAEnYgrOPFrxYej9IObpHV5SdWMaFi8q8GJn DaGsRU3bg5AZCJMOVXji9Q2hm3Hj1VkeSBJ7/BP0vmOCrMsSlg8f6oys4njL hjEw5UTYZtcfMKYkkzjXNYy3m+Krr3vMwpCf/56QihH0d48Z/d3rJ3CPGukG mY3ikP3a5Ycd5mD1FbOipKJRvDY3KNzhNA97dkUyzqwfw6Jve0ckrBdgQxD7 tkvCGL5X29b9hyqDzPNXTuwXGkcX9WNaMfcYJCv4xQFVn3Est7C5sENRgCy8 e3O/dt846lgNZsrcESC/5rZ9EmVPoFuQIVd/hSC5SzfbJqR+Aq86if0QiBEk FS60/jTRm8TS3+0XBmWEyMFjg9qfH0/ii/lQIY3rQmSZVZhRl9IUNuXvGuRI CZNqAqarChKnsErJqToiWpi8t69Mu1R6GoMLze90LRIhS2Qy+pcETSNb+bOt DUeENOm8ra49N42zBVorNAlR0vTG0Lprp2fwotBAQ+wlUTLzbqzdt84ZlFXV s1djEKSGaN4mNWsenne3mFzkS5ARVc/bzjbwcOUWx1rWBYJ8GJTRcqaJhy/n PJN3+hPkVXH2f15vebiIw9ntd4UgW3qkOjxaeZiSXXlz4B+C/DMwasOpzzys /qq9uTaRID96t+U5feOhzDFJ75ASguxIeEgeEefjC43fje+UEWTeJaVmtgQf bcc1FEtfEmS/yBYn9lI+PrhiWD1ZSZAVnB0pNjJ8/DPNX9axke7nVvEe65V8 dGgfKtjZQZA5hns8rdbxkbjHD7elCLJX86CJ1QY+PnQjjvp1EySoDqhbbeTj 9KwykddPkCenayctdfkYrmBtuXqEIM/Vy5dbbuejVrezpv4YQR4eD0FLAz62 Zp5bsJogyJUhvq8sST4q6t3IiJohyIG08XeWu/lYwUi98JBPkIrC3v2Whnx0 qX14sHaWnk/YxVnLfXwUjypS6Z0jSHF5EaaVMR+fWNbOLCwQ5Lf7EjpW+/n4 fzWi2D0= "]]}, "Charting`Private`Tag$14454#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1Hk0ldsbB/BjfN0SkUPUlQznhkqhwb3xfZsU6sbtZ4iTkJAkVEIpGbty IpIxdN0SoqIoYzJnKJc6qfAaC2UM5yT83vZae+31+edZz37Wd+/VDqf+OibI YDDi6f3z5Jm43zI95WEgxvi5KIQ6/rbmFetP2Dame/5000ifK4dlizN2YTUC tLOZH9Lak51wNShrXoj2WP7OCDeWO2S44goEbQX1t8ULXC/kvs1Zvpi2vk/4 xvpkb6i9i/guSduu1iAj2t4PXoszy5m0A2UnV7JZF1HhJ+CykvZ/eQfro6cC cGJR7KQKbcf364JnuIH44ePgsJb2lIAY2EXB2HDE5fGmn/2q9/CfJ4eCp3Vn ELTlzEoeq126At+tcoImtO/53DwVbh8OibSSOQvaDbXG/QdZ1zDllpDiSTv3 nLQpWzgKCo6NOwNon7t6KefaVBT4HeqNkbTF8g+5THKjodN5KPQR7dc1NdVq 9TGwrGM9raSd8F5HxaroBpp+SDe9pa0hKNFZknwTJie3pS3QnmCe/2OUE4cj XV62TAEKxeqf41dfikc3UbygSXuf2YuDofaJeGnkOWxD+1Sad/0BVgrmJwWd a2hvfdzLCpRLxdpgc/1e2gzHNTushdMQGBM3zRCkUH8uNjViKg1PjN5KgbZ1 6inrce4/GL6RNVRN20Cd9Xe4aTqU7g5wB2kr538sVKlPh0XSQIaEEIXhGiOm RdG/cE2WH7OmfWFE5XVR8l2wC+KU5mnb+byfP8jMQEcWVNSFKewSvL7uKycD dhxvMXPaS2Tnw1dduofyj6f9HtBO0X+3O9g+C82V3Fl3EQoVERHF+1m5iP+g cnI5QaFsqL1xcWYuTOIl3S1ol+z9rbNe8wF6Q9J9YmnbCNoz0pc/hGNddJas GAXzslnlVYqP4J6mGaD2CwXjzRtd5NTz4bctdODMYgp7+7ke3q75iJWvP19J e8+Ni75vsvORF/lOfpk43e9EQ3jM+sd4FLDK4wltg1ynHEndJ8hTjA4SlaCg w0qeIFAIKbeILe+XUtB+s2PWKaCQnt83Mz0pChuCB4VqKgrxsmjFmQTa63s2 M4N3PUU6l/2KLU1hTUrLFobxM7gkxneNLqOwUpbw5/2vGC/L68z3yFEQEfUi Bl3LkSZVKlKsSOGz0SXJyYxyBL+zc9deReElJ0Jurq8cnMvpRVm0a8NbY65o Pcdo6ZO5W0oUrkqPpCdnPscW0XeakcoUZJRVqqpuVcBEYYKZzKLA2s4RZoZW wtnY/O8jWnT+e2PEEv+tRGHuv9smaYuFJIqvqqyEg0zr67ANFIbqMmTUGVUw +sUtKX8jhQemL1T1/apwxLm7gKlL581uZtcx92rEdQmPC+lRMLpkH/LEohZN XwdKwnbS84msMLx9phau+eUDOrvo+6auFuNE1+JGTVw/RXusrDvcsbkW6jEf 7PUNKdyct49aZliHw42VZgwjCn3+Dkmem+qR7W4yk/MnhYALRx+tk2lAXrl+ bIY1hULfYx13WpqRY6J1d8lZCncNTnAVJprx0HfGQMCbrifk2RIp/Qp36hPq p2h7cy5U+x58BQ2rqvxuHwqbb8fk7H/zCiMMSW7VBTpPfVSZn9trxN8U1H0a TOH9YslIZY8WMCWcmX/FUmi3PqHlda4VU1eHwvY+oxDes8ctLrQVHhY+8w5F FH53Vc0siW1Fr2iZ/sViCsm+HcrE41YcaGphFpbS7yP+gGzyWCvOCpf8pv2C wqc3OnPVx9uga3Diwf4G+r8y/fFSnv0GrpL7N8p3UpDaw3GqILkwHlnfzxPp xtK2Y3lbbD6g7MPzgYtO3VBRcssMcehCkqaf4kJLN7Z2nGzYHt2NUlOTMYrs QcX3gH1tSb14OKphyK3sgUt5XV1ZYD86/ZNkj+/pRcLRDAWm3SfYLuXePPm6 F+usuqfnjw3Cv9t1BftkHzonDzSTRsNw1pP3+iTaj4ku+Q2y5l8R9X2w4MTj fkRl+zlbWo5iLHGGs+/YAFiSYvt9ksYQbCMeEiP5CQUeAdnXUsfBtQuW5TR9 QptaDGEWPQHdP78cdgn6DNWg1jWHEyZx3PBJOm/fIPRMu3RTk77hr3Dyq6jc EDo8Qgw4EVM4/WDFu+G3Q8jTO7Sk+vo0Fi8q8GJnDUPWorb9XsgMwqRDFR55 fQF6GNdfnOFBktjtn6D3FQmyLktYPnzUG1nF8ZaNIDDleNgm1+8YV5JJnOse wa3m+JprHrMY9vPfHVI5Cn/3mLFfvX6Ae8RIN8hsDMP2a5YfcpjD6stmRUlF Y7g6NyTc6TSP3TsjGafXjaPoy55RCesFrA9i33JJGMdbta09v6syyDx/5cQB oQm4qB/VirnDIFnBz/ar+kygwsLm/HZFAbLwnxv7tPsnoGM1lClzW4D8nNv+ QZQ9CbcgQ67+CkFyp262TUjDJK44iX0XiBEkFc63/TDR+4bSX+0XhmSEyKGj Q9ofH37Ds/lQIY1rQmSZVZhRt9IUmvN3DnGkhEk1AdNVBYlTqFZyqomIFibv 7C3TLpWeRnCh+e3uRSJkiUzGwJKgabCVP9racERIk65b6tpz05gt0FqhSYiS pteH1149NYMLQoONsRdFycx/Yu2+dM1AVlXPXo1BkBqieRvVrHk4527xbZEv QUZUP20/08jDys2OdazzBHk/KKP1dDMPz+c8k3f4E+QVcfZ/Xq95WMTh7PK7 TJCtvVKdHm08pGRX3Rj8myD/CIxaf/IjDzWftTfVJRLke+/2PKcvPMgclfQO KSHIzoT75GFxPp5p/Gp8u4wg8y4qtbAl+LCd0FAsfU6QAyKbndhL+bh32bDm WxVBVnK2p9jI8PFHmr+sYxPdz83i3dYr+XDoGC7Y0UmQOYa7Pa3W8kHc4Yfb UgTZp3nAxGo9H/fdiCN+PQQJ1UF1qw18TM8qE3kDBHliuu6bpS4f4QrWlqtH CfJsg3yF5TY+tHqcNfXHCfLQREi5pQEfbZlnF6wmCXJliO8LS5IPRb3rGVEz BDmYNvHGchcflYzU8/f5BKko7D1gaciHS939A3Wz9HzCLsxa7uVDPKpIpW+O IMXlRZhWxnw8sqybWVggyC93JXSs9vHxfzSZjD0= "]]}, "Charting`Private`Tag$14454#2"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"E(N=1)", None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 3}, {-1.5811388010428642`, 1.5811388010428642`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]]}, { HoldForm[ Placeholder[ Style[1, Smaller]]], HoldForm[ Placeholder[ Style[2, Smaller]]]}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.770994032899406*^9, 3.770994035449057*^9}, 3.77099442837131*^9, 3.770997382868065*^9, 3.770999589954508*^9}, CellLabel-> "Out[133]=",ExpressionUUID->"8dd14e5f-c6f7-4b59-87b0-f2b4f70904f9"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Two-electron system", "Subsubsection", CellChangeTimes->{{3.7709928695004*^9, 3.770992879267935*^9}},ExpressionUUID->"43e9e156-6daf-4b0d-a592-\ 349c739bfbc7"], Cell["Configurations: \[LeftBracketingBar]1\[UpArrow]1\[DownArrow]\ \[RightAngleBracket], \[LeftBracketingBar]1\[UpArrow]2\[DownArrow]\ \[RightAngleBracket],\[LeftBracketingBar]1\[DownArrow]2\[UpArrow]\ \[RightAngleBracket],\[LeftBracketingBar]2\[UpArrow]2\[DownArrow]\ \[RightAngleBracket]", "Text", CellChangeTimes->{{3.7709928960965157`*^9, 3.770992996780879*^9}},ExpressionUUID->"79ab1d7b-9b43-4b3d-bbaf-\ 94749aec9d31"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]v_"}], "]"}], "=", RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], "+", "U"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{"\[CapitalDelta]v", "+", "U"}]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], "]"}], "//", "FullSimplify"}]}]], "Input", CellChangeTimes->{{3.7709931637513514`*^9, 3.770993176590556*^9}, { 3.7709932777367*^9, 3.77099327942887*^9}, {3.770993331447741*^9, 3.7709933322409363`*^9}, {3.770993413457896*^9, 3.7709934163221416`*^9}, 3.7709936625721397`*^9, 3.770993722454412*^9}, CellLabel-> "In[143]:=",ExpressionUUID->"b47f43b9-e08f-4146-aca4-41feebc64ae5"], Cell[BoxData[ RowBox[{"{", RowBox[{"0", ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "2"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "3"}], "]"}]}], "}"}]], "Output", CellChangeTimes->{ 3.770993302172084*^9, 3.770993332749916*^9, 3.7709934168909473`*^9, { 3.77099365044234*^9, 3.7709936630184927`*^9}, 3.770993723283189*^9, 3.7709937649233932`*^9, 3.770994014549814*^9, 3.7710006872846107`*^9}, CellLabel-> "Out[143]=",ExpressionUUID->"cd0e13c7-64b5-4632-9171-d6afda7c9ba3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "1"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{ 3.770994016421832*^9, 3.7709941054050503`*^9, {3.770995492452344*^9, 3.770995499495879*^9}}, CellLabel-> "In[144]:=",ExpressionUUID->"e21b7a77-5baf-4e2c-b6c0-9dddfab8ce49"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, Annotation[#, "Charting`Private`Tag$15499#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0ns4VXkXB/Cz3ba3qVSiUpHbicroippYu9KFyInJLSPEGRmhnsY1EYdp DkdCTXRySaFJVEwayW8LxzWX3Eoo9pZb5U5ux7vnj/Ws5/M864+11vNVdfG2 dJNgsVjpTP3Xvx/3usvx9jE6NaCrPyyiUKTrZq169gmIrWvh/ec332gPAdsR Ogxenx9h/EjhQ+p7IRc69CZHRxmP5B2K9mR7wewnr5UTjJW0W18utl0ERzvd 2inGhv78HVVCX5it0VObZexUYZQZ5xwIgV4R8mLGYYrjGxzYV8AydH2qRAWF 3j6zqoqbDIUXpjMVOGPXdh3edFsYPNikErWM8SQmCw6FPGhyFAzIM47U7pkh hZFA/mZMKTFec7IoXzPkGmQXGPurMc7yv+XNd+ZDYlFM1hbGNRWmvVbsGDBe IvFhP+Mcv1UcB6lYeOu3rfMIY7+okMcxk7Ew23cv8CRj2Tw79/G2OJCN8P3D nXGDSFSuWRUPIo2WqUuME9t3qdsWJkBDdhgWxniLxPKuIuEtIEVv+u8yHlMI +mlY8Bfw1p0vz2b8Urv/tmrIbTBrdTQsYmx28rVVpHMSfA40XOxg7J3qW2XB TobipdI1mpUUMsin2GFrUmAKPxW2lzHLVeugvVQqXDFmtZgzrvK7mRI9mQp6 GefN/Bnbp3jbj7bdg+gfq8ObGRtps//kc9LBepWS4lfGankdBepV6TAV3HBI popCQyITBevC+9B6zO/CPsaXv6k3FAozwN7yg8LfjJ3828VWCpkgbhGEVzA2 lrih81WQCR638qN7GS9TFPNVQrLgbyfuBfVqCiUbvjvMc/4b7kMcL4NxSXT0 S3N2Dmip0k1VNRQqHnxf+8PDHNC07zs+wbjo2Oauqq25kGVSGahSS6HTEs6s 9LVPwHzF9gU/xqeK59RUlJ/Cbt54wo43FDLV2+G+RjsPOmRt5SvqKHSst83H 1yMP3h1onJ1nfDThSkDLozzYZuacuKue2Xeshh//Yz6YfW2Zu8fYKIf7WG73 P5AxzrPmN1BoF1s4hkMBuKq85ga9pdDOloNz3FDGrzJKihhv5w1IikoKgHu9 v0nM+McePQWe8Qt4ofeXckQThbSSG/VZpv8C5+hW86RmCm1QxIO///wSzhnl yve1Ukha5iI+4IFgVqPTc0kHhfpNQuTGMxFoeDd1OjCuFkSvWaAR0GeNh3MZ V/Cb4q/pknDZ7dG4TSeFolZ9Sxc+JEGUqB6e20Wh1WrqZWV3S2BfQFTJ5W4K sQ8IpBQiS8H9QC59vY/JPxUvm3S/FPwDh7ynGMtGJC1VKS2FpcW/CH/pp9Bg ZeZqbVYZDNqJ3+kMUCiX81rDMLAMZJ71dbcMMnlzmjZ28yoH/gsDA+NvFDIJ cY74x7oCRuKfb06aZP5zveRI2qUKuNgqHbxqirk3RVVWEFcBrLpNXlGMR4q7 +a51FWBW0aoeMk2hW2LnWPkjlSC/U67r/AyF6GCXOxf2VEEDf3uC+wKFQi+f faqzugYsOwb2N0nTyCO69OK6nTWguMlK6YwMjX4Wqu+W5tRA0tOQhCHGm4uo 5x1RNeDTe+iMjCyN6ubOFkVJ1gLP18Xi0BIabQhyrRgYqwUywSWtfTmNCgLc Oh801sFGRx+TkLU0yjD6rU1prA6O8wQO29bR6Jbkhcbrq+rBMtZTu52xr+By eYBVPSj2pozor6eRXlr8Y/OWenB5sUVvfiONTtOfigM9G2BfjldWpjqN2n+Q u67m0wga+1pD+bo0em//m+5FvybglKt2hpnQiN9z1POvyCbgdhxcxTGl0T4P jYdFN5vgec7SLxuP00gY0KmG5zeBYnKV4KUZjZxuWygKR5qgY3xXlNiCRn0t uxbKzzXD2Mf9/unWNJrkzFevc2iBnzN0fM650mjlUQG3hGgDInvsVv9VGhk/ LIKtJ9tAtjAbnwijkf8PX9bedG6Da6tCDVk8Gn2qN61xD2uDKbOC70qRNHpi K7t9RVkb0L+a5trxacTxCJ9xPPoOpBZ3bpuPo1GsICB63vw9fOcafWq5T6MV zW7P9E9/AK81aRqfqmmkvsnzYYTLR8jfeNWuTLkXGXSerzkQ1w37s9r09/r3 opLZULPmOxS8U9XofdXbi9xRZWVxWC8k35+clbD9jBLPZiopOPXB63PSrdeb PiMd2+4psdsA5Ix291dz+1DXuEUdYTIElin97mXzfWjs47rtiqe+Qk5ybMGx x/0o9lHgrzY2w6CX7jrb7j6A2HKy5v53RkDCZvNgmsYgeu4T+igmZRRsjnn+ z048iJo14/GTcWOQ+aHqWkHrENIIb9L6JXEcah1DtrrVf0F7OR93p9yZgCfN y08UN35FnT4RRoLoSbhjbKq/s/4berbXbln5jSm4tx6vNBgeRorWFe+zIqZB +Zno5jreCIIe1o3Xl76DfPBr2kR+FCUqui9j+8/AT+LTvqH5oygs+dwfezxm oa5RZsdezhi6W3dbFOMzBxzFGJ0A8RgK9oof2XhxHpJTE6Rrc8bRkLPWWjuX BVDmJFo/tZlAUQuDUl1cMRiFCyzPyU+iwi9Hh5fbL4LToe+Hs0WTqFXToGef BouI4clyxgOmkLv2Wd34ByxC09AiYg8xjUqsTwcdUMYI1fv0Et/5abTLdvDh 6jSMUHcICu+q+Y48w4+0Ga6XIDILdUt8Y2fQNa7sLBYvQeTqJa0stZpFrzY6 Lw6uliRoTazt8JY59K84UnJLjCQxqW6t2zgxh+ryDg0KVkoRkVFzETlv51H5 Jq4oOk6K2BAU4P0qZwHxCk6ldS+RJrZ/vavSHSxGDmodjqcF0gTHcG3cGadF NPdcd/1WXIZoT5c5UqzEIi9LDtTevCJDCLtvhHwLZ5GKGnudNVk4YblpcbRh ikX6eVlPLAnACaHO+rxcF4zcoOdayQ7CiZ1pS0vjXDGSXLggPBjMzKdJfvyd i5FLBALjwKs4YRs5sW+/B0YmPypLGPgTJ/w7r4ZVXcBIUf/OPZVJOPHsxAnz z6EYufqsnG9EEU4Er5Mp1ErByH+3bDRNK8aJws0KxsvSMNJxbIvyKxInPlGv 3o/ew8isq0dEE2U40b67fvPLDIz8KTVY0fUNTlxTuXniRA5GunQOPT/YhROX uhpKfV9hJP5ghu/4CSe4FqPSDggjsz3xM4E9OJGv5Wd1oAQjp+bU8GefcWJO K2PF0nKM5CvZ26gO44TrNn35e7UYqdvz61bDUZzovq/15I86jGx++Pui7ThO iKrdbM83YKTy3huZsdM4cfvU82qDZowsZaUEZc8wti1NUG7FSPfKbIvKOZxg H5bzkHqHkUtjC9XpBZwY+XLLdPA9Rj61qZxeXGTuVbPRa/iAkf8H1XpeJg== "]]}, Annotation[#, "Charting`Private`Tag$15499#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV03k41dkfB/BL6mvalCzVlEJu1JRSCaX3V4uixdImZFxbUmFMScoytp9w VTRKrktlSVRjGYZ7s4dbsjeKaChl6x5rwuD3nfM8n+c8r+fzz+ec8z7Kdm7m jpIsFiuCqf/27wdd403d3He1z/y3CEIc1qrXso/g8YS77jTj1+JPLly2Dczp rq7vjNPlWxPf8Zxwptt+9gDjgew9EefZrrhT/v3OR8bLNf4WzDR7wNU2J76R sb5X2GYRzxPfWBkKxYxtK3elRnG8oZM0LpnGOEBheIU12xcZLKFdJOOGrKOi qFF/XA1S0HZn7NCyIWisOQDCY5t9jjAelZCGdUEQgg7p6mj8N69G53gxLwQf Jn8+w2KsaCbMUfMLRUFK69ymaYJHXjFuYZww8PZ8UUli/KrSuOsoOxIxDzIz dRk/vSxrai11EwdLp9Rnpgguh/s9iRy9CdmIEfkSxtLZp5yHm6OQs3OTuR7j uoqKF2qiaPCb1z4Y/JcgtmWLqkXBbST4a55NZrxOcmG7kBeDJg/KRpLxkPzV HYR7B93BzyLSJwkEGt13lf3uQlJbcasZ40NmpUdDOPfQkkKRWxMEbomeIhM2 HxEpPNWe7wQ6OR/ZAYoJeKxtxvZkzHJQ320plYheb1bKzBiB6PLvCRGjiWgv KlWSZmyZ4GY52PwAFvQERUYIdmmwr4eZPoRsU6iULWOV7Pd5qqKHiDC+EPh6 mKCvwkj+REESBs/qzuMPEVwTq9YV8FKwqOe9hfwA815eLdNH5VMRpj3h40II 9kre2vCVmwpqWcd6oZhggcJ02Cq/R4h8G6N2/CsBX//tviDOY9zmWD8+3UtQ EhEhOMx+Cr2U3CbRR4LC3nfV89Ke4gBHvaGpk0B4YG27aP0zLBU01rZ2EFhJ clgPl/4BVmBafdsHguOFkyqrlDKRy9dbltVKYKy92VlRIxsx/cZL4xsIDnQ1 u3u6ZEPv2csG53qC/bd9r7xJz8bOsTWpm+qYeYdehUVvzMGEsl9SzmvmPp46 PZHZ+idudLusiawi2MLmDVHIw8iBFW2hzwm03uyedPLPg33JqSWKQoJNQT2z Kkry4Gje/Nv9AoKNndryQXv/glZsqUx6HoE6v347yzgfW+NCNW5lEqxQoHy+ HxMg7pFYKz2JYPYcD6rHpQjV9gFG7FCCbiM/meHUIvg/O6RkG0LwkhuhOPWp CDG1ez7HBBFUhjVGh2oWQ91AeHLSnyBcVvyQl1aMYlXr8YQrBHIqquXl8SU4 TsIlLF0I2AZcKfmQMhSHqLxOMGLy/zFa+l5SGWo1pn+4tp/Jb/C9+avKymB5 z9Dn+D6C3qpUOQ1WOTaOtcmwDAiemZau0fcuB+8ST2WrDpM327G9jq4v4J3V 0r+MTWDkxwn+80QltNr/yuibEUPrRonh/YuV8Chf5OE3JcaKBGVpblQl3FbJ 1SyaFGOgsCPMoaYS4b1885++iREzzbm5xLAKAYdOigz7xfjkYxf3yzYRyNbF xvPeiuF/zT5zg9wrPN3V693xRIy8K45tyfU1WGBnUaBzVIx3luc0PS43gmWS Z1px6SsW7+c6ldDNEI7Nb7C40Y9FTY5Z261a4Z2kZhYa2AfV1efTgu0+YMle yym+ey902i68MojqwIBvqcTI2R6UTPgfaor7iEQ11RC2cTeci6qqCgO6EEUS Tb30vyDWPnW5vO0XmM9/IV6v8xkbLDq+TTv2IOWCzZuu1V1oHzapoY36YBMe OZCv/AlDH5ZtUjj+FeaOemYWch9xM937zMmTzD9//qGQlusEW0b6sFfcAEJ1 FpIHGzqQ6+6fHpkwiNwb+YHL9P9Bk1o0ZRY1BFnewfdUdTvWBDaqn44dRmcH 12apTBt0TT9sTYgbQWh968557q1ocw/exY0YxZ3bE+EcVguydE8teHHrG8Rj h6+LQ95C4UTlu0fBYwgJVXFcrtcMdLJulV78DldZq6bC2X8jVsF5AdtrHPwt j5fkvGxCAP/s/7a5TEDcs+fUidxGxNfcrYh0n8T87rZ52+Ib4OMaPbDS41/U +B5pGLhXjz6O+tJTdlM4FDh7waL8OoRP9Uq1O01DeaA2jZ1ai4L+/WSh5Qzm BNVJLFGowd9qOp16a1h08eHMX1nJ1XDWsNeMTmbR6ibsljcbXqHkhNVVAyUJ mu7ft+SHzyJssehNk7svQbOtxqSNY6twPtCwWf9HSfpxwai3rWclQp2kJySi JelguczCiy4VeL6SM9MrN4sOfina+P7UC+RPh8xaFzmL7q4ejNI8V46a7D29 3MVSNNnz6kcvrzK8WO1UERElRc9t/+ucSmwpgvKO3++YO5sO2z6va8ubElir vLex4s6mU4pyq00XlGAyV/PH9dQc+mKMS1LG6WJcm9VT/bvvHPqb1tSOlZ5F UFijy1FjUfTZI1la2hqFuOx6YmTuFYqeY3B/NyX1HCu0HarYVym68J+U+IUz QhRP/cLb7UPR5z3NNitOCDGXy93r/RvTd1KU+GlACH56+e2e6xSdmDex3eG9 EBXdWtuq7lG0iuinPxb+KYScvYxnsJCiGyaMdY3OCJG/bqXx/UKKtojTH/K0 E8JmaJ3S82KKXt2i/Db5tBCPfjOsGCmn6LoVZhrUMSF2JPooOLym6GPjR5qb aSHs2vpyd7dTdJCvqWzmciGo5PEwm38oukIpz21QXoiM89TP3p0ULct2HNFa LMS3SRUq6zNFL1Xc7JFPCRG23PKkMqHoRaOl25pGBNDsPLNef5Ci7Zz5ZSsH BGhKuzRjMUzRVvljl5z7BFDSvZV6c4yitX4tMZToFKCMlXA1Y5yiXb74O5i0 CeBclWFSNUnR/SbWyfy3Asy/WaD6aYo5v++kNGkUIPNk1djMDEXzOHNu0LUC /B/lO1gQ "]]}, Annotation[#, "Charting`Private`Tag$15499#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0nk8lIkbAPAxg3eSY2odmy2baxxFd0s1nodE2ZRWUZQQUmuxtnWMaxJW k5GrdgtDP8m1aUul5EiukY0uq2yRM8eKxjmvNfN794/n83y+/zyf59L1DvrO l06j0dKp+C/PfxuY4xQUbFU1/WtWWL8EEn2MjNvZ+2Dq1J2CcMrPPg2cFrA9 wDbqU30k5VKNv/PeZvvBtsLdszzKk+U7kwPYgbBe9dGOJMraJn89knWGQEQU 59c0ypxw/oaW7FCI821UyKHs2WxVmO7FhdWDu5JKKMdpTq08yo6BV7W3dCop v7zj3JI+wwOdE59FrZR9uszi5zrjYHpwNrGH8owcE45WxoPxkpLDM//1a9In eZydCJPfiDkqAxLQOlB11zA2CbhJd7caUS4KvxzE9+JDTNUrm52UW5sdBp3Z KdC5qSjzLOWysOVOR+VT4YmbVlc+5bALsTdTZlJh2sx1o4gys/yI/1RnOpgY 5GtrDUrgeVNTo2FLBmTecCmxpnyla5P+4cpM0LpssjeQsildtbsq+zLMmpxo fEZZrBG5fULwK7S1eGTThiTwyGT4N93Y38DweX78Fsp7DzxxTvS6Coqj2kkF lIPyQlv2s4Wgvemus/CjBCzu9rPjtHLhxrBcWS9lmo+xjZt8HjwdiNUyGpZA S9il3OSZPFj7U4fmA8puuUFunzv/ByvmPlaLRyRgZcI+z3fKB71cUZLdqAT0 yt9V6Lfkw/0rGzyzKY817dFwqbwOZyZ0Nu0bk0DUJ/3nldk3oGBzrMfTf6h7 hXdJnTUKobK9Jc58XAK29DSzcUEh3K459UcmZRVNKf/r2CJQbfhoePKTBISc N7vivUqAOaH9g8GkBOqSkx85sssgrPqyTDYlgZrRt38uLS6DoKieqovTEqja bdTdsuYW2NlzO3RnJOBO96Llf/kHFNrVazjOSuBQzYLe1zq3oSbkXXXtvAQc tm7w1zIpB/2UxEV1qQR2D3YGh54uh317GOpPKdtnxkR0lJZDmKlOxFkZ1a+4 lZ9hfheKfUvXzNFIsCrzu6m2+R4IFFRWSBkkbGJniwmoAIuxl7YRSiRs7LBZ 8ONVAD2G3fndUhLWx48wmuoqgCdkFpsrk2Det1Uj3vYBNOw7TYyrkGAsfPEN zeEhqLq8SItfRsJKTSJ6/uAjGHLwnFy1ggQFxRBi5HQtXPa8uUxsQsLwnli1 qcJaeHm8/rjUlISngmStxYFaMHLgxSuvJaGZ/yojad1jME2fczQ3J+HC8k/5 2cWPgf6ov+GXjSSo6+k3NOTUgbhBdjxtOwlsa4G8RmI9HDzWtHR+Hwla/RnM q9cpF81u5DiRwEy4qvx1fT10pV1Qiz9AwqioUN2E1gAeG1IHNA+ScMvpiQGH 2wCbhQU9TkdIsPCcs/UNbAQm45ahhg8Je2K9Eu65NMOHrhhOJ5faz8U6u2tn mkHuPDdhTxQ1b64uU5DeDLtdFZ2qo0mYrOnl+7Q1g+enLP9iHgmXpV6pX9iJ QCR252ckkjAQ7Z3145YWmCxRKyhLJ4EXdeK2mXorvGyTfZgvJaEiwvd9wYs2 YEov2Of3kXDD6vtObXEbbK3bMZE5QNVj/Pji4vJ28L7+WS1piIRQQVRjhHM7 uPQfrAgZJWHrtYybjh3t4HQkl3tETIL7wIcabsBzuDD0beX39AXoWqp2US/4 BZheao64qr8Ab92+XxcS9gqMt2+x6z61AMvsBX512Ak2XSF99pIFYL32vfON +9/AfVg9Upr/L+ivDihO8O6B5wFflC13XQSL9z+0Wqf3wo1MpSw9Qgp1JG/v 66x+WBnDu9X6TAr+tSJRTdwgJLqZHtolkMGVE4XaGp4f4ajWc8kbNg3NDvfO Sn1HgN77wTYijYbdU/vbcM8YLMZrCp/M0lDcs2K95qFxcE25tGKHnxymlnJP urpOgIdlbwq7Qw7ZakzH8KxJENo31dRy6Hg/mFeakvsZjMsCevf/QcfXhhnE gXQx+DOKh9auZKDBuVfGx65MQehXqjCbxkBLp57NuVnTsLBteE2gojy+D06w EiTPQKaV89HHP8njHcsjKo1pszBKvPGcHJVHTZfmt0UJcyAlIKbFTQGhj5b2 5Mw87HjXoTUuUsArmv4q7HAJlDx48GAEFTFOeOqXLadJKBlze3bgtiLmtP3W lBK8AOx9385cWkNgdGDG5KqQfyGUxxsmrhM45mX85RHvRbgxV1p8X52JFxZH 5bv9pCB8Umxlc5GJlf/YT6i6ySB4RY94Wm4J/mVo0bfNgIYBZi15xSFL0N/k xLqMAhrmWSr4csaXYJ2Le6S1jhzuneKc6TquhJsOjxarX5NDTwvza27vlDDg nF0n5ys6Fp0dPtzhtBST/JikXAYdWUp9O7bVL8XqVV6yUXUGOsxmGCeAMj6U JjJMUxi4diZSeK9cGdvKd44Klslj/DLruvYNKti42q8pOV0ey9bJpf15UwXj Kw5d61VSwNU7Yw7k6KriUb13Hu4CBSy7g1Vuuaq4cH/dV2sIRQwhayP71dUw ijHy56UYRVScv32Jk6SGmgaWXoY0AieaNufV01kYFugyrRRB4NNl56rsOSxc udVHxI4kUPOempGjFQsfL/6YbRNNYDu/Kv07YKGSQGDLPUtg2uDPPxyzZqGw tCFz5DyB3Qyv9T/tYmHT8MYtoqsEbj4zNCZ0ZKH6CbXQhCoCX31YZTF3jIUP TVc5XKshMCjHuulfDxZ6iE11qh8TmHQ65hDdk0Xtza5puoFA8pBNmIo3C7fn RWv6PKPqO4836/ux0Pv92H2bbgLRLDfHKZCFRIGE7/GBQItWS45LEAt/DyCO c/sIrJONvHcPZuHsgh5xZ4hAXSe+3skQFvK13Vx1Jwj04Dc8iA5l4bq+k2s4 n6n53ih4nQtj4evin2WHp6g/UnRXOh/OQh3LtMLUOQKlBuiZyWVhPS038ncJ gWVF7cpXI1noL/p9v2iBQOcNIZW5USxUTq3UH1gkkJdkdKogmoW3XUVzMhmB f4VNfFkaw8L/A5puX1E= "]]}, Annotation[#, "Charting`Private`Tag$15499#4"]& ]}, {}, {}}, InsetBox[ TemplateBox[{TagBox[ FrameBox[ StyleBox["1", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["2", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["3", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["4", Smaller, StripOnInput -> False]], "Placeholder"]}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ TagBox[#, HoldForm], ",", TagBox[#2, HoldForm], ",", TagBox[#3, HoldForm], ",", TagBox[#4, HoldForm]}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"E(N=2)\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {4., FormBox["4", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox["1", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {3., FormBox["3", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 3}, {-2.2323307271329584`, 4.123699559799169}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, "Charting`Private`Tag$15499#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0ns4VXkXB/Cz3ba3qVSiUpHbicroippYu9KFyInJLSPEGRmhnsY1EYdp DkdCTXRySaFJVEwayW8LxzWX3Eoo9pZb5U5ux7vnj/Ws5/M864+11vNVdfG2 dJNgsVjpTP3Xvx/3usvx9jE6NaCrPyyiUKTrZq169gmIrWvh/ec332gPAdsR Ogxenx9h/EjhQ+p7IRc69CZHRxmP5B2K9mR7wewnr5UTjJW0W18utl0ERzvd 2inGhv78HVVCX5it0VObZexUYZQZ5xwIgV4R8mLGYYrjGxzYV8AydH2qRAWF 3j6zqoqbDIUXpjMVOGPXdh3edFsYPNikErWM8SQmCw6FPGhyFAzIM47U7pkh hZFA/mZMKTFec7IoXzPkGmQXGPurMc7yv+XNd+ZDYlFM1hbGNRWmvVbsGDBe IvFhP+Mcv1UcB6lYeOu3rfMIY7+okMcxk7Ew23cv8CRj2Tw79/G2OJCN8P3D nXGDSFSuWRUPIo2WqUuME9t3qdsWJkBDdhgWxniLxPKuIuEtIEVv+u8yHlMI +mlY8Bfw1p0vz2b8Urv/tmrIbTBrdTQsYmx28rVVpHMSfA40XOxg7J3qW2XB TobipdI1mpUUMsin2GFrUmAKPxW2lzHLVeugvVQqXDFmtZgzrvK7mRI9mQp6 GefN/Bnbp3jbj7bdg+gfq8ObGRtps//kc9LBepWS4lfGankdBepV6TAV3HBI popCQyITBevC+9B6zO/CPsaXv6k3FAozwN7yg8LfjJ3828VWCpkgbhGEVzA2 lrih81WQCR638qN7GS9TFPNVQrLgbyfuBfVqCiUbvjvMc/4b7kMcL4NxSXT0 S3N2Dmip0k1VNRQqHnxf+8PDHNC07zs+wbjo2Oauqq25kGVSGahSS6HTEs6s 9LVPwHzF9gU/xqeK59RUlJ/Cbt54wo43FDLV2+G+RjsPOmRt5SvqKHSst83H 1yMP3h1onJ1nfDThSkDLozzYZuacuKue2Xeshh//Yz6YfW2Zu8fYKIf7WG73 P5AxzrPmN1BoF1s4hkMBuKq85ga9pdDOloNz3FDGrzJKihhv5w1IikoKgHu9 v0nM+McePQWe8Qt4ofeXckQThbSSG/VZpv8C5+hW86RmCm1QxIO///wSzhnl yve1Ukha5iI+4IFgVqPTc0kHhfpNQuTGMxFoeDd1OjCuFkSvWaAR0GeNh3MZ V/Cb4q/pknDZ7dG4TSeFolZ9Sxc+JEGUqB6e20Wh1WrqZWV3S2BfQFTJ5W4K sQ8IpBQiS8H9QC59vY/JPxUvm3S/FPwDh7ynGMtGJC1VKS2FpcW/CH/pp9Bg ZeZqbVYZDNqJ3+kMUCiX81rDMLAMZJ71dbcMMnlzmjZ28yoH/gsDA+NvFDIJ cY74x7oCRuKfb06aZP5zveRI2qUKuNgqHbxqirk3RVVWEFcBrLpNXlGMR4q7 +a51FWBW0aoeMk2hW2LnWPkjlSC/U67r/AyF6GCXOxf2VEEDf3uC+wKFQi+f faqzugYsOwb2N0nTyCO69OK6nTWguMlK6YwMjX4Wqu+W5tRA0tOQhCHGm4uo 5x1RNeDTe+iMjCyN6ubOFkVJ1gLP18Xi0BIabQhyrRgYqwUywSWtfTmNCgLc Oh801sFGRx+TkLU0yjD6rU1prA6O8wQO29bR6Jbkhcbrq+rBMtZTu52xr+By eYBVPSj2pozor6eRXlr8Y/OWenB5sUVvfiONTtOfigM9G2BfjldWpjqN2n+Q u67m0wga+1pD+bo0em//m+5FvybglKt2hpnQiN9z1POvyCbgdhxcxTGl0T4P jYdFN5vgec7SLxuP00gY0KmG5zeBYnKV4KUZjZxuWygKR5qgY3xXlNiCRn0t uxbKzzXD2Mf9/unWNJrkzFevc2iBnzN0fM650mjlUQG3hGgDInvsVv9VGhk/ LIKtJ9tAtjAbnwijkf8PX9bedG6Da6tCDVk8Gn2qN61xD2uDKbOC70qRNHpi K7t9RVkb0L+a5trxacTxCJ9xPPoOpBZ3bpuPo1GsICB63vw9fOcafWq5T6MV zW7P9E9/AK81aRqfqmmkvsnzYYTLR8jfeNWuTLkXGXSerzkQ1w37s9r09/r3 opLZULPmOxS8U9XofdXbi9xRZWVxWC8k35+clbD9jBLPZiopOPXB63PSrdeb PiMd2+4psdsA5Ix291dz+1DXuEUdYTIElin97mXzfWjs47rtiqe+Qk5ybMGx x/0o9lHgrzY2w6CX7jrb7j6A2HKy5v53RkDCZvNgmsYgeu4T+igmZRRsjnn+ z048iJo14/GTcWOQ+aHqWkHrENIIb9L6JXEcah1DtrrVf0F7OR93p9yZgCfN y08UN35FnT4RRoLoSbhjbKq/s/4berbXbln5jSm4tx6vNBgeRorWFe+zIqZB +Zno5jreCIIe1o3Xl76DfPBr2kR+FCUqui9j+8/AT+LTvqH5oygs+dwfezxm oa5RZsdezhi6W3dbFOMzBxzFGJ0A8RgK9oof2XhxHpJTE6Rrc8bRkLPWWjuX BVDmJFo/tZlAUQuDUl1cMRiFCyzPyU+iwi9Hh5fbL4LToe+Hs0WTqFXToGef BouI4clyxgOmkLv2Wd34ByxC09AiYg8xjUqsTwcdUMYI1fv0Et/5abTLdvDh 6jSMUHcICu+q+Y48w4+0Ga6XIDILdUt8Y2fQNa7sLBYvQeTqJa0stZpFrzY6 Lw6uliRoTazt8JY59K84UnJLjCQxqW6t2zgxh+ryDg0KVkoRkVFzETlv51H5 Jq4oOk6K2BAU4P0qZwHxCk6ldS+RJrZ/vavSHSxGDmodjqcF0gTHcG3cGadF NPdcd/1WXIZoT5c5UqzEIi9LDtTevCJDCLtvhHwLZ5GKGnudNVk4YblpcbRh ikX6eVlPLAnACaHO+rxcF4zcoOdayQ7CiZ1pS0vjXDGSXLggPBjMzKdJfvyd i5FLBALjwKs4YRs5sW+/B0YmPypLGPgTJ/w7r4ZVXcBIUf/OPZVJOPHsxAnz z6EYufqsnG9EEU4Er5Mp1ErByH+3bDRNK8aJws0KxsvSMNJxbIvyKxInPlGv 3o/ew8isq0dEE2U40b67fvPLDIz8KTVY0fUNTlxTuXniRA5GunQOPT/YhROX uhpKfV9hJP5ghu/4CSe4FqPSDggjsz3xM4E9OJGv5Wd1oAQjp+bU8GefcWJO K2PF0nKM5CvZ26gO44TrNn35e7UYqdvz61bDUZzovq/15I86jGx++Pui7ThO iKrdbM83YKTy3huZsdM4cfvU82qDZowsZaUEZc8wti1NUG7FSPfKbIvKOZxg H5bzkHqHkUtjC9XpBZwY+XLLdPA9Rj61qZxeXGTuVbPRa/iAkf8H1XpeJg== "]]}, "Charting`Private`Tag$15499#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV03k41dkfB/BL6mvalCzVlEJu1JRSCaX3V4uixdImZFxbUmFMScoytp9w VTRKrktlSVRjGYZ7s4dbsjeKaChl6x5rwuD3nfM8n+c8r+fzz+ec8z7Kdm7m jpIsFiuCqf/27wdd403d3He1z/y3CEIc1qrXso/g8YS77jTj1+JPLly2Dczp rq7vjNPlWxPf8Zxwptt+9gDjgew9EefZrrhT/v3OR8bLNf4WzDR7wNU2J76R sb5X2GYRzxPfWBkKxYxtK3elRnG8oZM0LpnGOEBheIU12xcZLKFdJOOGrKOi qFF/XA1S0HZn7NCyIWisOQDCY5t9jjAelZCGdUEQgg7p6mj8N69G53gxLwQf Jn8+w2KsaCbMUfMLRUFK69ymaYJHXjFuYZww8PZ8UUli/KrSuOsoOxIxDzIz dRk/vSxrai11EwdLp9Rnpgguh/s9iRy9CdmIEfkSxtLZp5yHm6OQs3OTuR7j uoqKF2qiaPCb1z4Y/JcgtmWLqkXBbST4a55NZrxOcmG7kBeDJg/KRpLxkPzV HYR7B93BzyLSJwkEGt13lf3uQlJbcasZ40NmpUdDOPfQkkKRWxMEbomeIhM2 HxEpPNWe7wQ6OR/ZAYoJeKxtxvZkzHJQ320plYheb1bKzBiB6PLvCRGjiWgv KlWSZmyZ4GY52PwAFvQERUYIdmmwr4eZPoRsU6iULWOV7Pd5qqKHiDC+EPh6 mKCvwkj+REESBs/qzuMPEVwTq9YV8FKwqOe9hfwA815eLdNH5VMRpj3h40II 9kre2vCVmwpqWcd6oZhggcJ02Cq/R4h8G6N2/CsBX//tviDOY9zmWD8+3UtQ EhEhOMx+Cr2U3CbRR4LC3nfV89Ke4gBHvaGpk0B4YG27aP0zLBU01rZ2EFhJ clgPl/4BVmBafdsHguOFkyqrlDKRy9dbltVKYKy92VlRIxsx/cZL4xsIDnQ1 u3u6ZEPv2csG53qC/bd9r7xJz8bOsTWpm+qYeYdehUVvzMGEsl9SzmvmPp46 PZHZ+idudLusiawi2MLmDVHIw8iBFW2hzwm03uyedPLPg33JqSWKQoJNQT2z Kkry4Gje/Nv9AoKNndryQXv/glZsqUx6HoE6v347yzgfW+NCNW5lEqxQoHy+ HxMg7pFYKz2JYPYcD6rHpQjV9gFG7FCCbiM/meHUIvg/O6RkG0LwkhuhOPWp CDG1ez7HBBFUhjVGh2oWQ91AeHLSnyBcVvyQl1aMYlXr8YQrBHIqquXl8SU4 TsIlLF0I2AZcKfmQMhSHqLxOMGLy/zFa+l5SGWo1pn+4tp/Jb/C9+avKymB5 z9Dn+D6C3qpUOQ1WOTaOtcmwDAiemZau0fcuB+8ST2WrDpM327G9jq4v4J3V 0r+MTWDkxwn+80QltNr/yuibEUPrRonh/YuV8Chf5OE3JcaKBGVpblQl3FbJ 1SyaFGOgsCPMoaYS4b1885++iREzzbm5xLAKAYdOigz7xfjkYxf3yzYRyNbF xvPeiuF/zT5zg9wrPN3V693xRIy8K45tyfU1WGBnUaBzVIx3luc0PS43gmWS Z1px6SsW7+c6ldDNEI7Nb7C40Y9FTY5Z261a4Z2kZhYa2AfV1efTgu0+YMle yym+ey902i68MojqwIBvqcTI2R6UTPgfaor7iEQ11RC2cTeci6qqCgO6EEUS Tb30vyDWPnW5vO0XmM9/IV6v8xkbLDq+TTv2IOWCzZuu1V1oHzapoY36YBMe OZCv/AlDH5ZtUjj+FeaOemYWch9xM937zMmTzD9//qGQlusEW0b6sFfcAEJ1 FpIHGzqQ6+6fHpkwiNwb+YHL9P9Bk1o0ZRY1BFnewfdUdTvWBDaqn44dRmcH 12apTBt0TT9sTYgbQWh968557q1ocw/exY0YxZ3bE+EcVguydE8teHHrG8Rj h6+LQ95C4UTlu0fBYwgJVXFcrtcMdLJulV78DldZq6bC2X8jVsF5AdtrHPwt j5fkvGxCAP/s/7a5TEDcs+fUidxGxNfcrYh0n8T87rZ52+Ib4OMaPbDS41/U +B5pGLhXjz6O+tJTdlM4FDh7waL8OoRP9Uq1O01DeaA2jZ1ai4L+/WSh5Qzm BNVJLFGowd9qOp16a1h08eHMX1nJ1XDWsNeMTmbR6ibsljcbXqHkhNVVAyUJ mu7ft+SHzyJssehNk7svQbOtxqSNY6twPtCwWf9HSfpxwai3rWclQp2kJySi JelguczCiy4VeL6SM9MrN4sOfina+P7UC+RPh8xaFzmL7q4ejNI8V46a7D29 3MVSNNnz6kcvrzK8WO1UERElRc9t/+ucSmwpgvKO3++YO5sO2z6va8ubElir vLex4s6mU4pyq00XlGAyV/PH9dQc+mKMS1LG6WJcm9VT/bvvHPqb1tSOlZ5F UFijy1FjUfTZI1la2hqFuOx6YmTuFYqeY3B/NyX1HCu0HarYVym68J+U+IUz QhRP/cLb7UPR5z3NNitOCDGXy93r/RvTd1KU+GlACH56+e2e6xSdmDex3eG9 EBXdWtuq7lG0iuinPxb+KYScvYxnsJCiGyaMdY3OCJG/bqXx/UKKtojTH/K0 E8JmaJ3S82KKXt2i/Db5tBCPfjOsGCmn6LoVZhrUMSF2JPooOLym6GPjR5qb aSHs2vpyd7dTdJCvqWzmciGo5PEwm38oukIpz21QXoiM89TP3p0ULct2HNFa LMS3SRUq6zNFL1Xc7JFPCRG23PKkMqHoRaOl25pGBNDsPLNef5Ci7Zz5ZSsH BGhKuzRjMUzRVvljl5z7BFDSvZV6c4yitX4tMZToFKCMlXA1Y5yiXb74O5i0 CeBclWFSNUnR/SbWyfy3Asy/WaD6aYo5v++kNGkUIPNk1djMDEXzOHNu0LUC /B/lO1gQ "]]}, "Charting`Private`Tag$15499#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV0nk8lIkbAPAxg3eSY2odmy2baxxFd0s1nodE2ZRWUZQQUmuxtnWMaxJW k5GrdgtDP8m1aUul5EiukY0uq2yRM8eKxjmvNfN794/n83y+/zyf59L1DvrO l06j0dKp+C/PfxuY4xQUbFU1/WtWWL8EEn2MjNvZ+2Dq1J2CcMrPPg2cFrA9 wDbqU30k5VKNv/PeZvvBtsLdszzKk+U7kwPYgbBe9dGOJMraJn89knWGQEQU 59c0ypxw/oaW7FCI821UyKHs2WxVmO7FhdWDu5JKKMdpTq08yo6BV7W3dCop v7zj3JI+wwOdE59FrZR9uszi5zrjYHpwNrGH8owcE45WxoPxkpLDM//1a9In eZydCJPfiDkqAxLQOlB11zA2CbhJd7caUS4KvxzE9+JDTNUrm52UW5sdBp3Z KdC5qSjzLOWysOVOR+VT4YmbVlc+5bALsTdTZlJh2sx1o4gys/yI/1RnOpgY 5GtrDUrgeVNTo2FLBmTecCmxpnyla5P+4cpM0LpssjeQsildtbsq+zLMmpxo fEZZrBG5fULwK7S1eGTThiTwyGT4N93Y38DweX78Fsp7DzxxTvS6Coqj2kkF lIPyQlv2s4Wgvemus/CjBCzu9rPjtHLhxrBcWS9lmo+xjZt8HjwdiNUyGpZA S9il3OSZPFj7U4fmA8puuUFunzv/ByvmPlaLRyRgZcI+z3fKB71cUZLdqAT0 yt9V6Lfkw/0rGzyzKY817dFwqbwOZyZ0Nu0bk0DUJ/3nldk3oGBzrMfTf6h7 hXdJnTUKobK9Jc58XAK29DSzcUEh3K459UcmZRVNKf/r2CJQbfhoePKTBISc N7vivUqAOaH9g8GkBOqSkx85sssgrPqyTDYlgZrRt38uLS6DoKieqovTEqja bdTdsuYW2NlzO3RnJOBO96Llf/kHFNrVazjOSuBQzYLe1zq3oSbkXXXtvAQc tm7w1zIpB/2UxEV1qQR2D3YGh54uh317GOpPKdtnxkR0lJZDmKlOxFkZ1a+4 lZ9hfheKfUvXzNFIsCrzu6m2+R4IFFRWSBkkbGJniwmoAIuxl7YRSiRs7LBZ 8ONVAD2G3fndUhLWx48wmuoqgCdkFpsrk2Det1Uj3vYBNOw7TYyrkGAsfPEN zeEhqLq8SItfRsJKTSJ6/uAjGHLwnFy1ggQFxRBi5HQtXPa8uUxsQsLwnli1 qcJaeHm8/rjUlISngmStxYFaMHLgxSuvJaGZ/yojad1jME2fczQ3J+HC8k/5 2cWPgf6ov+GXjSSo6+k3NOTUgbhBdjxtOwlsa4G8RmI9HDzWtHR+Hwla/RnM q9cpF81u5DiRwEy4qvx1fT10pV1Qiz9AwqioUN2E1gAeG1IHNA+ScMvpiQGH 2wCbhQU9TkdIsPCcs/UNbAQm45ahhg8Je2K9Eu65NMOHrhhOJ5faz8U6u2tn mkHuPDdhTxQ1b64uU5DeDLtdFZ2qo0mYrOnl+7Q1g+enLP9iHgmXpV6pX9iJ QCR252ckkjAQ7Z3145YWmCxRKyhLJ4EXdeK2mXorvGyTfZgvJaEiwvd9wYs2 YEov2Of3kXDD6vtObXEbbK3bMZE5QNVj/Pji4vJ28L7+WS1piIRQQVRjhHM7 uPQfrAgZJWHrtYybjh3t4HQkl3tETIL7wIcabsBzuDD0beX39AXoWqp2US/4 BZheao64qr8Ab92+XxcS9gqMt2+x6z61AMvsBX512Ak2XSF99pIFYL32vfON +9/AfVg9Upr/L+ivDihO8O6B5wFflC13XQSL9z+0Wqf3wo1MpSw9Qgp1JG/v 66x+WBnDu9X6TAr+tSJRTdwgJLqZHtolkMGVE4XaGp4f4ajWc8kbNg3NDvfO Sn1HgN77wTYijYbdU/vbcM8YLMZrCp/M0lDcs2K95qFxcE25tGKHnxymlnJP urpOgIdlbwq7Qw7ZakzH8KxJENo31dRy6Hg/mFeakvsZjMsCevf/QcfXhhnE gXQx+DOKh9auZKDBuVfGx65MQehXqjCbxkBLp57NuVnTsLBteE2gojy+D06w EiTPQKaV89HHP8njHcsjKo1pszBKvPGcHJVHTZfmt0UJcyAlIKbFTQGhj5b2 5Mw87HjXoTUuUsArmv4q7HAJlDx48GAEFTFOeOqXLadJKBlze3bgtiLmtP3W lBK8AOx9385cWkNgdGDG5KqQfyGUxxsmrhM45mX85RHvRbgxV1p8X52JFxZH 5bv9pCB8Umxlc5GJlf/YT6i6ySB4RY94Wm4J/mVo0bfNgIYBZi15xSFL0N/k xLqMAhrmWSr4csaXYJ2Le6S1jhzuneKc6TquhJsOjxarX5NDTwvza27vlDDg nF0n5ys6Fp0dPtzhtBST/JikXAYdWUp9O7bVL8XqVV6yUXUGOsxmGCeAMj6U JjJMUxi4diZSeK9cGdvKd44Klslj/DLruvYNKti42q8pOV0ey9bJpf15UwXj Kw5d61VSwNU7Yw7k6KriUb13Hu4CBSy7g1Vuuaq4cH/dV2sIRQwhayP71dUw ijHy56UYRVScv32Jk6SGmgaWXoY0AieaNufV01kYFugyrRRB4NNl56rsOSxc udVHxI4kUPOempGjFQsfL/6YbRNNYDu/Kv07YKGSQGDLPUtg2uDPPxyzZqGw tCFz5DyB3Qyv9T/tYmHT8MYtoqsEbj4zNCZ0ZKH6CbXQhCoCX31YZTF3jIUP TVc5XKshMCjHuulfDxZ6iE11qh8TmHQ65hDdk0Xtza5puoFA8pBNmIo3C7fn RWv6PKPqO4836/ux0Pv92H2bbgLRLDfHKZCFRIGE7/GBQItWS45LEAt/DyCO c/sIrJONvHcPZuHsgh5xZ4hAXSe+3skQFvK13Vx1Jwj04Dc8iA5l4bq+k2s4 n6n53ih4nQtj4evin2WHp6g/UnRXOh/OQh3LtMLUOQKlBuiZyWVhPS038ncJ gWVF7cpXI1noL/p9v2iBQOcNIZW5USxUTq3UH1gkkJdkdKogmoW3XUVzMhmB f4VNfFkaw8L/A5puX1E= "]]}, "Charting`Private`Tag$15499#4"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"E(N=2)", None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 3}, {-2.2323307271329584`, 4.123699559799169}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]]}, { HoldForm[ Placeholder[ Style[1, Smaller]]], HoldForm[ Placeholder[ Style[2, Smaller]]], HoldForm[ Placeholder[ Style[3, Smaller]]], HoldForm[ Placeholder[ Style[4, Smaller]]]}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{ 3.77099401693705*^9, 3.770994067491127*^9, 3.7709941058471518`*^9, 3.770994263234439*^9, {3.770995492810238*^9, 3.770995499852001*^9}, 3.770997389566435*^9, 3.771000689222254*^9}, CellLabel-> "Out[144]=",ExpressionUUID->"a8093895-8274-4865-8c1d-c07c036e90df"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Three-electron system", "Subsubsection", CellChangeTimes->{{3.7709928695004*^9, 3.770992881094946*^9}},ExpressionUUID->"6d7f18d4-ca7e-4c08-8eb7-\ 07edba359cb6"], Cell["Configurations: \[LeftBracketingBar]1\[UpArrow]1\[DownArrow]2\[UpArrow]\ \[RightAngleBracket], \[LeftBracketingBar]1\[UpArrow]2\[UpArrow]2\[DownArrow]\ \[RightAngleBracket]", "Text", CellChangeTimes->{{3.7709928960965157`*^9, 3.7709930560752897`*^9}, { 3.770999517656238*^9, 3.7709995277788*^9}},ExpressionUUID->"0cf9a26d-d009-41ea-b936-ac8253b071a2"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "3"], "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]v_"}], "]"}], "=", RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"-", FractionBox["\[CapitalDelta]v", "2"]}], "+", "U"}], RowBox[{"-", "t"}]}, { RowBox[{"-", "t"}], RowBox[{ FractionBox["\[CapitalDelta]v", "2"], "+", "U"}]} }], "\[NoBreak]", ")"}], "]"}], "//", "FullSimplify"}]}]], "Input", CellChangeTimes->{{3.770993182125717*^9, 3.770993218885694*^9}, { 3.770993280615863*^9, 3.770993286540779*^9}, {3.770993324066537*^9, 3.770993325016066*^9}, 3.770993599281448*^9, 3.770993725088029*^9, { 3.7709987882565937`*^9, 3.770998798965406*^9}, {3.7709995318991213`*^9, 3.770999545860941*^9}}, CellLabel-> "In[145]:=",ExpressionUUID->"96c573b8-4728-47be-8f86-84d20e06a734"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"U", "-", RowBox[{ FractionBox["1", "2"], " ", SqrtBox[ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}]]}]}], ",", RowBox[{"U", "+", RowBox[{ FractionBox["1", "2"], " ", SqrtBox[ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}]]}]}]}], "}"}]], "Output", CellChangeTimes->{{3.770993303921832*^9, 3.770993325719154*^9}, 3.770993599769623*^9, 3.770993666972555*^9, 3.770993725475451*^9, 3.770993769111307*^9, 3.770993971875139*^9, {3.770998773823908*^9, 3.770998799544012*^9}, {3.7709995384194937`*^9, 3.770999546977866*^9}, 3.770999600164332*^9, 3.7710006950914793`*^9}, CellLabel-> "Out[145]=",ExpressionUUID->"bec4f94c-b0b4-4ce0-bd10-249e09fd9107"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "1"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ SubscriptBox["\[Epsilon]", "3"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.770993915274559*^9, 3.770993998745623*^9}, { 3.771000696063463*^9, 3.7710006969557962`*^9}}, CellLabel-> "In[146]:=",ExpressionUUID->"807b5abe-8687-401e-8a38-fd6203dd59f5"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Hs41NkfB/AJ29ejlrJMKiKXCWkJ3ePzJSvZyq1UsjZC0uTS7g9dMAnV ZHJNqsmllEuFsEjWITLjfh2DMl/zjYqyTe4Sft/O85znPK8/znk+530+z1nv 4e/oJUWj0VKo+WOd+d3vvr1/gLlk8ccgINpzg24r4yBYnSpT/eHm/wZ9OQw3 UIGv575TfqL8Jr2X6w0jM7lSM5QlRXtimAw/6HF43/iV8hq97peLwnOQ6ZjZ MkzZLIS9uZ4bBCV27+UGKJ/gmWcluF8A1eFnrC7KEfRxVVdGGITJzRvyKHcU OtUnTLJA/5NApYyyZ9+myGlhBMjK79qVRXlyiSy4lkdCuoXh7aQf9eqRs1Xc aFiR/o8Bi/Iqh4pinfBrIB/bPneacnZIsj/bnQ2DKFrGkXIjz3bIiXET6Izm V6qU84IV7V1l4qBp26mQxQUCgm+EP7s5GQfyVk9PDVCWLTrmMy5MgLt79o9z KbfV1b3WqU8ER//C2BDKd/pMtI6WJ4H30j4vR8r6UvKiCm4y+OpcRTTKY8oX d33h3AZLizV7BPMEvNT7mLI+PAXMJddp2ZT3O7xyina/C0ymmp4NZf/0oHo7 RirIqHzb/Nd3ArYXv2NErEqD7OlDUTso0zx1LV1k0uF7T5viwhwB9cG30mIm 0yGZ6fT2MmWXNH+Xr8IHoN+dq//3NwLM9RjX2fYPoarI2N6AsmbR21Kt+odw qN64gJwl4FPdPmXn8kww4DWp21K+9J9WWzn3MdgktlVKz1DvFdK34KScBda5 rBfPpgmwkorfNMrJAnxI8cthyj/TF9jq4dkQYa2yLGOKgFSznt8i3XPBM8Re VnOSgOqYmJcHGHnQZlOm0/qVgMqR3qZlOXng2zqg5US5wmaDqH5jPuycKJMX SAg4LuVOe6hSANv9+3I7vhBwuHJOU33dc9BG2YvFowTYbt3ss0qvCJZfHTem DxNgMyQMCPItgu6ms7LnPxKwNynsvOBJEXAHDjb1fqDqHWtkJ/5aDKkLVeq3 3lN55Hk/UzD9B7iv3syMvSPAhMEdw6AURBs+xP0uIsBYYDnnzSql8qO7cvoJ MIoclq6rLgUmm7+q+S0Bv5JblSOtyqDc3trd+g0Buqnt22i2L8CosQXX6CFA lY6Fzhx6CUyW36HAdgJ+WnoOG/ZFUPU2auL6KwI+7gtXGM9CMHPQXOteNQEN nJhV84MI3n8vY+dWEcBjdyZeM6wCzcgkmdpKAm4o/veQm1MFCeN22eJyApQ0 tWpr71eDb+PaLl4hAQwLjoxydA0Ynzk8imdQ/f8uUfZuZg0kPCiJXp1O9W/U 3eXqNTWwW3jMTZJKwAg/S0mPVgt+oxvqU7gE5Nu/0ja7UAuWm80Sum5T/XZi 2srL7zV04FNqMxwC9oW7R/3jzANvbeNoSQiVT2y1dcbfPDC4wzJOCabum7Ze lpPAg55zbabmQdR/UClme7bwIK/XZnfUXwQkL7jH/WLNB+tTIa6LZwkYDPW4 F7ilHnI1T6/M9CCAdenk801KjcBlRQoKbAkoPe/V/6i9BR77ZBQNKhPw2PyM cM1YC6QvXxkx/wt1nnRge6xiK5Qwm5hKigQEcS69Pu/UCk/tglN2yxOwNSPx 2QFBK2gviB2CllL9NDhQeYHZBm0d327HTomgb5lCrGZAO3S/2yw4LhBBr8sZ w3PBnUD/qC/x44iATe5l3o7uBA0nBemdN0Sw01c7p+JWJ+wcuxIpfV0E3PP9 mlhxJ3h4uXbFR4rgRIodnSuh9k9fLbh3UQQfBCbzr093QcoVvQzP0yKYtP/e sNpVAAZir/vNe0Swci/HuxoXAlPrwRb5iX5Y0eVVuO34G4i0CTOWMukHLQ1m ThSVS0P2spolrm9he//ZRosEMUS7nVY3D3sD1d9Y+7vuvYN0jdy/HEL6wAfx +ZURQ2AlU9+xKbAX7pzMWqN84gNYEQ4d2n/2wKaj4qkFr2FYaqZfv1dHCKJx uxZ83ycw5jSv3TwmgDFitRH98CgMyBkk6N7ugrgnF04dOfIFNBpWDHpv6QSG guyBkHsSmLH5MNkz0A4lAawnN9O+gqP5dMeQZxt06SRiDgljYMQ7eM1trBm0 r3Tq/nFnHFzf6weqNTXADnvCNO3eBJR1z9sOPuRBf0CUOSdmEkwt49PsM2uh cMexn1/HT0GXcMOWm87VQHfm9WZHTQP/TOvGYN8KAJIW/+rvGbjGEyqbmpTA HbrPz4yQWQg4eZEdVJUHEamnr27x/QYSyb9ujIEMuN+SUnczYA5YbEuLP8zC INQvUaJ27jtUTR5RbD6RhD6566oc85gHDW0j22CnLHRjfkRG5L0A9qYTskbC QlT+ee8XeZdFGDDmC64nv0DdOtvJndo0PG70l3ZT9Srko3fSMPERDTda33RW s7oGVTsfv2ixbglepvzIM0GPh0yOjuQoZSzB8eBm0daBBsS8Yi00WyuFqzw4 1q/v2oKuect+W5Iohft8dhg3HGpD/6q5L44oSePZsTmNATUd6MVCtLT+TWl8 xkONEXWlC7UU7RnhrJTBk2Tw0B7fbvRaw7suJoGy5mzDhG0Piiw9nCGW+wmX OHLvblveh1w137od5/yEG4QGP+ZPvEFzJYZrN2JLcfy3vCKDyn50SXq46VbY UjyT7RzxPJxAdO0d7jo0DD+03POkbfEACvZznpA7j+EqNwKLhlPESHWrJ59x EcOPYnZZH7hiVDUfyLUMxfAVq8syh9LFSI7DsbpwGcMf87QqxNlilPqkNmn4 OoYHyaz/o69MjOo+Gm/h38Xw4tFCr+YeMVI6qRAUVYHhFSbHLperkOiFvppt RiWGe87jD16okshtTH/dv1UY3rSM2VSmQaLsy9Z1E7UYHr32yu5SXRLtSg+l ezZT9WwKvlG8nUQe/Z9KLEUY7sJhkwVHSYQ9mmW7DWA4/0hqcoEriZ4ysT8v kBgeZtPhVHCCRFNzmljhewzv/hw/nO9DIvYalyPrv2D4SLJJRH4IiQzJUxvN vmJ44eCy8PxLJOrK+d/i0XEM3y43HpnPItG6HfFZcdMY3mEx9CT/GolqaGkX n85i+G7Zz035MSTy4T+1489R+SjMTuXHkWh5XLnW4DyVp7GcfkESiZ4f4U8v LmJ4zwE174IUEv0fbibaww== "]]}, Annotation[#, "Charting`Private`Tag$15697#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Hs41FkYB/C5/PKTsrqgTa3KZSK3RKLiPWgppVgbkmSEhJhVIQrJrWlG onJpFuWeUhtlk+Q6iHSRLIUlrKiUSf3GbfZ0nuc85/n8c573vOd7zhqPwN+8 GDQaLQ3PHyu1M+BPu0COGUH7MSiI81yr8Yy1G/SGXxj/8NNPg758lhtsvmP5 7oeLFd5kdwm8QWi+V0LH/lxqyfNnBQDXT4rPxFbSfP1Q0hkETmOOvHnYpqFc /WZBMCzxt5olsd0bzQqS2WHwIPZVnwx2tKJopSsrAtwf0Qx/wn5516E5eTIK jGKfiBdje3brxHzvjIaIrfr6itiTdGlwrYiBND3DbqUf9WoOiKsFcTCT+vLr Kuxl9pVl6pEJsFWw4Iw6dmHolUAumwukXW+EFnZLo82QAysRwu7vemaMXRKy xM6VSALZDcNrEHbI+chbiZNJMPNJftgaW7p0n4+oMxmUxrXrnLGfC4UN6s0p oO259C0bO73bQNW54hJ4R5zz9sNex/ipt1JwBfKNlJ9HYk8ohG8Z56fCnUCT 21zsh5ojaWsi0+Dz2R7JZexd9rUOcewMGMr9e/IWdmB2cPMeViZITp4xeIdt XPaOFb0sCxRrb2R+waZ5ali4ENlQ07wznEanoDnkchZvMhu61cYSVmG7ZAW6 fOm8DsE2eyc9sM00Wee4djmwyEE0dhxbpfRtuWpzDhTbihzisceEOxQcK3Jh Y9vC0FvYpz6pPq8Q5IPum52LJNjuod1zDgoFENCRdVGeQcE2xkWdj/wCuGO1 JWYdtqziHHdVZCG4fzJ55ISdafrPrzHsG/Bf/9jpcuwaHu+hLasEWj9eNOIx Kaga7WpdUFQCrFZyUzF25fa1vc1at2Gi1r7yCfZ+BpuW8/Md2OC5Y+8CgoK9 VdMqq5T/gk3PFaqTsW2M9H2WaZaCqbLlsYp5FGwf6uQE+5bCE97go35s60sR JzuKS6HL+gNvvhSud6KFm6JbBs7Vcn+7YJuVeN+SM7wH++SazZkkBQYswQQJ 5SBtJFxxVJqCDR0W095R5bh/U4UC7PUx75nCmnLw6pGtaMXWHTBSiNn2N7z0 KzmsO58CjcwXm2g2D8DQtnX8O/ZKRfI09ftDGDo4eCNnAQXzpILI976P4XlC b/QBOQpGdkTKiQoeg4X/+k3p2E/4vGWzg49BWG1/oAO7kduekqBXDVRv99zu RRScX/IpR1BUDSuZHy5bL6ZAXkW1vv7PGmDJimV2L6WAZc4nFOLqwDDvRv3t ZTj/71KkM3LrwNXpt0wxtnRsxsJVdXWgzz0yYvkzBaNNBfKatHrIJe4/7cK+ bVerZhpWD3dKOW9klHDe3L9v8wpogNbAaOrMSgp2RLJj7zk2wnDwsd66Nbg/ F2qsrh1vhHtdB0XLVfB5s9ZI85MbweZdSxAH+3NVP9ezrREuNX+8o6xKwZU5 dtJSqybQHe7XiFKjYPC0x9U/NjaDY3netONaCqJOHfpLR74FuvoynzjoUFB+ 0qsn70UbvM5b1h63mYJ8M79OpYk2+KcyPIu2Be/H/OPFhSXP4OVg62AYdjD/ VMNJh2egoD3QxdlKgdG1lFu2Hc8gJCrez8MM52nw36ow/+ewayddydWCgu4F chdUOC9AJr5UpsiGgi4XP72gkHaY+nXSMteVAu6AtX9qXDsYa22N1D9AwWZf taLKy+0QxOxTfowtONmjQpa1Q+HwCPeNG34faXsUBZ/bYTOjd+lyNgX/dRjM Nhx5BUpZ9zrzvfB/ZTfzZLlrB9yLz09bGEjBYmu+dw3qBPWQ1KCZaAoWvfK6 u2n/G+g76n4MSilQXe1fFOvRB20KphckI/g+eo62mCf3g1uheihntRhqpqJ2 vbr6Dv4JUcgZY4vB53FTU1X0EIxX2Z4vyxFD+qECJQX3/0Avwa/FaEQMOs79 3+a83kMV555sidEU9Ir2tKEdY1AmWPjg2NkpmOhbvl5x70fYPnv8zcbuKUgq Djvs5DQOoU+nrfI3TANLTto29OpnqNWJq22On4b7nKjixKwv4L/e4rxweBpe qaeQ9skToLT2m26Z+QyonW3XOJAuAsOcbvtT+TNgYtdnmHX1K2j+mh18dsEs 9HBizfi8SajolP1wwm8W7prsk224+A2k5u030e2YBUXHxq7C2O+wbb4l39lk DmCAdrH2OAUJZ69XtQrmIF3RR5YVKoZBtZs7Z+ZLIDrzSPxG3ykIXSTzdI4j gT/b0oSJnGkIflR1vbZfAqcDUj7/EjQDH26rZdRo0NAYW+PnfR6zkFSt0WN7 gIbOz44Svd5zcP2addSDKzRU8cF6/CcXCaSal+wua6Wh1+rGA5vVaKjLbLGt iE5HPpqH9FLyaGhp7VvWkq10VOO4P9xcmY5c7W1Y6UF0ZOA8WiR/jY6Od344 yiyhI/+zVp2mKxhIJaPjVu0QHSV4S0/RUxiIb+o7l7eSgR79wpaMyjPRpP6J 5QHODPRgLo65LpGJDt6sy+UkMVBbqeUofzGBkmmFcvufMlDDam8hL5lAv6kd THebz0Qx5Xuv9cvMQ25cB1GcORO5qrx128+fh/LH2+TTI5ho+r7eCi1SChU2 nbjSUM5Ep5jvWy9HSKHfX9is/zbORIpqJmx1GokUmF1pS3QIFBLg+FXmJImE Hm/9N3sTaKWRZxMrnESva9rfmxwmUPXsHwKL0yTaJqV7xMSHQDJ8/rawMyQa /SIdaOxLoMzi+kvvz5FI2Xx7qlEAgYQjGzY2ZZDo6EP/fQbBBJI/JBccW0mi 8V2O2bpxBHqw7heba1Uk2gdJPrrxBHKbWKf8qJpEIsYKA90EAhWesRJ+rSfR gHD1Mx0ugbZkn1b0fEoix5YeFZ1EAnn0jN236MXOuW6sfYVAZJ6Y6/YviSYu F6hrpxLopj95MGyARKuTv8prpxHo27QKeXeYREbhnlNaGQTiKrk4rRknUcUQ 71+tTALpDRzWMv1CIm1xbZ9WFoFeFZ2QOItIlFi7tV8rm0DKJhcLkr6T6Lid eFTrOoHqaFnhN8UkkmNsEWnlEMin6eaepmkS1VtWzWrlEmhhUoXq4CyJ4njR Mtp5BPrLqem7REKiYIf45dr5BPofFUdp9g== "]]}, Annotation[#, "Charting`Private`Tag$15697#2"]& ]}, {}, {}}, InsetBox[ TemplateBox[{TagBox[ FrameBox[ StyleBox["1", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["2", Smaller, StripOnInput -> False]], "Placeholder"]}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ TagBox[#, HoldForm], ",", TagBox[#2, HoldForm]}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"E(N=3)\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-0.5, FormBox[ TagBox[ InterpretationBox["\"-0.5\"", -0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2.5, FormBox[ TagBox[ InterpretationBox["\"2.5\"", 2.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox["1", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {3., FormBox["3", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 3}, {-0.5811388010428642, 2.581138801042864}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1Hs41NkfB/AJ29ejlrJMKiKXCWkJ3ePzJSvZyq1UsjZC0uTS7g9dMAnV ZHJNqsmllEuFsEjWITLjfh2DMl/zjYqyTe4Sft/O85znPK8/znk+530+z1nv 4e/oJUWj0VKo+WOd+d3vvr1/gLlk8ccgINpzg24r4yBYnSpT/eHm/wZ9OQw3 UIGv575TfqL8Jr2X6w0jM7lSM5QlRXtimAw/6HF43/iV8hq97peLwnOQ6ZjZ MkzZLIS9uZ4bBCV27+UGKJ/gmWcluF8A1eFnrC7KEfRxVVdGGITJzRvyKHcU OtUnTLJA/5NApYyyZ9+myGlhBMjK79qVRXlyiSy4lkdCuoXh7aQf9eqRs1Xc aFiR/o8Bi/Iqh4pinfBrIB/bPneacnZIsj/bnQ2DKFrGkXIjz3bIiXET6Izm V6qU84IV7V1l4qBp26mQxQUCgm+EP7s5GQfyVk9PDVCWLTrmMy5MgLt79o9z KbfV1b3WqU8ER//C2BDKd/pMtI6WJ4H30j4vR8r6UvKiCm4y+OpcRTTKY8oX d33h3AZLizV7BPMEvNT7mLI+PAXMJddp2ZT3O7xyina/C0ymmp4NZf/0oHo7 RirIqHzb/Nd3ArYXv2NErEqD7OlDUTso0zx1LV1k0uF7T5viwhwB9cG30mIm 0yGZ6fT2MmWXNH+Xr8IHoN+dq//3NwLM9RjX2fYPoarI2N6AsmbR21Kt+odw qN64gJwl4FPdPmXn8kww4DWp21K+9J9WWzn3MdgktlVKz1DvFdK34KScBda5 rBfPpgmwkorfNMrJAnxI8cthyj/TF9jq4dkQYa2yLGOKgFSznt8i3XPBM8Re VnOSgOqYmJcHGHnQZlOm0/qVgMqR3qZlOXng2zqg5US5wmaDqH5jPuycKJMX SAg4LuVOe6hSANv9+3I7vhBwuHJOU33dc9BG2YvFowTYbt3ss0qvCJZfHTem DxNgMyQMCPItgu6ms7LnPxKwNynsvOBJEXAHDjb1fqDqHWtkJ/5aDKkLVeq3 3lN55Hk/UzD9B7iv3syMvSPAhMEdw6AURBs+xP0uIsBYYDnnzSql8qO7cvoJ MIoclq6rLgUmm7+q+S0Bv5JblSOtyqDc3trd+g0Buqnt22i2L8CosQXX6CFA lY6Fzhx6CUyW36HAdgJ+WnoOG/ZFUPU2auL6KwI+7gtXGM9CMHPQXOteNQEN nJhV84MI3n8vY+dWEcBjdyZeM6wCzcgkmdpKAm4o/veQm1MFCeN22eJyApQ0 tWpr71eDb+PaLl4hAQwLjoxydA0Ynzk8imdQ/f8uUfZuZg0kPCiJXp1O9W/U 3eXqNTWwW3jMTZJKwAg/S0mPVgt+oxvqU7gE5Nu/0ja7UAuWm80Sum5T/XZi 2srL7zV04FNqMxwC9oW7R/3jzANvbeNoSQiVT2y1dcbfPDC4wzJOCabum7Ze lpPAg55zbabmQdR/UClme7bwIK/XZnfUXwQkL7jH/WLNB+tTIa6LZwkYDPW4 F7ilHnI1T6/M9CCAdenk801KjcBlRQoKbAkoPe/V/6i9BR77ZBQNKhPw2PyM cM1YC6QvXxkx/wt1nnRge6xiK5Qwm5hKigQEcS69Pu/UCk/tglN2yxOwNSPx 2QFBK2gviB2CllL9NDhQeYHZBm0d327HTomgb5lCrGZAO3S/2yw4LhBBr8sZ w3PBnUD/qC/x44iATe5l3o7uBA0nBemdN0Sw01c7p+JWJ+wcuxIpfV0E3PP9 mlhxJ3h4uXbFR4rgRIodnSuh9k9fLbh3UQQfBCbzr093QcoVvQzP0yKYtP/e sNpVAAZir/vNe0Swci/HuxoXAlPrwRb5iX5Y0eVVuO34G4i0CTOWMukHLQ1m ThSVS0P2spolrm9he//ZRosEMUS7nVY3D3sD1d9Y+7vuvYN0jdy/HEL6wAfx +ZURQ2AlU9+xKbAX7pzMWqN84gNYEQ4d2n/2wKaj4qkFr2FYaqZfv1dHCKJx uxZ83ycw5jSv3TwmgDFitRH98CgMyBkk6N7ugrgnF04dOfIFNBpWDHpv6QSG guyBkHsSmLH5MNkz0A4lAawnN9O+gqP5dMeQZxt06SRiDgljYMQ7eM1trBm0 r3Tq/nFnHFzf6weqNTXADnvCNO3eBJR1z9sOPuRBf0CUOSdmEkwt49PsM2uh cMexn1/HT0GXcMOWm87VQHfm9WZHTQP/TOvGYN8KAJIW/+rvGbjGEyqbmpTA HbrPz4yQWQg4eZEdVJUHEamnr27x/QYSyb9ujIEMuN+SUnczYA5YbEuLP8zC INQvUaJ27jtUTR5RbD6RhD6566oc85gHDW0j22CnLHRjfkRG5L0A9qYTskbC QlT+ee8XeZdFGDDmC64nv0DdOtvJndo0PG70l3ZT9Srko3fSMPERDTda33RW s7oGVTsfv2ixbglepvzIM0GPh0yOjuQoZSzB8eBm0daBBsS8Yi00WyuFqzw4 1q/v2oKuect+W5Iohft8dhg3HGpD/6q5L44oSePZsTmNATUd6MVCtLT+TWl8 xkONEXWlC7UU7RnhrJTBk2Tw0B7fbvRaw7suJoGy5mzDhG0Piiw9nCGW+wmX OHLvblveh1w137od5/yEG4QGP+ZPvEFzJYZrN2JLcfy3vCKDyn50SXq46VbY UjyT7RzxPJxAdO0d7jo0DD+03POkbfEACvZznpA7j+EqNwKLhlPESHWrJ59x EcOPYnZZH7hiVDUfyLUMxfAVq8syh9LFSI7DsbpwGcMf87QqxNlilPqkNmn4 OoYHyaz/o69MjOo+Gm/h38Xw4tFCr+YeMVI6qRAUVYHhFSbHLperkOiFvppt RiWGe87jD16okshtTH/dv1UY3rSM2VSmQaLsy9Z1E7UYHr32yu5SXRLtSg+l ezZT9WwKvlG8nUQe/Z9KLEUY7sJhkwVHSYQ9mmW7DWA4/0hqcoEriZ4ysT8v kBgeZtPhVHCCRFNzmljhewzv/hw/nO9DIvYalyPrv2D4SLJJRH4IiQzJUxvN vmJ44eCy8PxLJOrK+d/i0XEM3y43HpnPItG6HfFZcdMY3mEx9CT/GolqaGkX n85i+G7Zz035MSTy4T+1489R+SjMTuXHkWh5XLnW4DyVp7GcfkESiZ4f4U8v LmJ4zwE174IUEv0fbibaww== "]]}, "Charting`Private`Tag$15697#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1Hs41FkYB/C5/PKTsrqgTa3KZSK3RKLiPWgppVgbkmSEhJhVIQrJrWlG onJpFuWeUhtlk+Q6iHSRLIUlrKiUSf3GbfZ0nuc85/n8c573vOd7zhqPwN+8 GDQaLQ3PHyu1M+BPu0COGUH7MSiI81yr8Yy1G/SGXxj/8NNPg758lhtsvmP5 7oeLFd5kdwm8QWi+V0LH/lxqyfNnBQDXT4rPxFbSfP1Q0hkETmOOvHnYpqFc /WZBMCzxt5olsd0bzQqS2WHwIPZVnwx2tKJopSsrAtwf0Qx/wn5516E5eTIK jGKfiBdje3brxHzvjIaIrfr6itiTdGlwrYiBND3DbqUf9WoOiKsFcTCT+vLr Kuxl9pVl6pEJsFWw4Iw6dmHolUAumwukXW+EFnZLo82QAysRwu7vemaMXRKy xM6VSALZDcNrEHbI+chbiZNJMPNJftgaW7p0n4+oMxmUxrXrnLGfC4UN6s0p oO259C0bO73bQNW54hJ4R5zz9sNex/ipt1JwBfKNlJ9HYk8ohG8Z56fCnUCT 21zsh5ojaWsi0+Dz2R7JZexd9rUOcewMGMr9e/IWdmB2cPMeViZITp4xeIdt XPaOFb0sCxRrb2R+waZ5ali4ENlQ07wznEanoDnkchZvMhu61cYSVmG7ZAW6 fOm8DsE2eyc9sM00Wee4djmwyEE0dhxbpfRtuWpzDhTbihzisceEOxQcK3Jh Y9vC0FvYpz6pPq8Q5IPum52LJNjuod1zDgoFENCRdVGeQcE2xkWdj/wCuGO1 JWYdtqziHHdVZCG4fzJ55ISdafrPrzHsG/Bf/9jpcuwaHu+hLasEWj9eNOIx Kaga7WpdUFQCrFZyUzF25fa1vc1at2Gi1r7yCfZ+BpuW8/Md2OC5Y+8CgoK9 VdMqq5T/gk3PFaqTsW2M9H2WaZaCqbLlsYp5FGwf6uQE+5bCE97go35s60sR JzuKS6HL+gNvvhSud6KFm6JbBs7Vcn+7YJuVeN+SM7wH++SazZkkBQYswQQJ 5SBtJFxxVJqCDR0W095R5bh/U4UC7PUx75nCmnLw6pGtaMXWHTBSiNn2N7z0 KzmsO58CjcwXm2g2D8DQtnX8O/ZKRfI09ftDGDo4eCNnAQXzpILI976P4XlC b/QBOQpGdkTKiQoeg4X/+k3p2E/4vGWzg49BWG1/oAO7kduekqBXDVRv99zu RRScX/IpR1BUDSuZHy5bL6ZAXkW1vv7PGmDJimV2L6WAZc4nFOLqwDDvRv3t ZTj/71KkM3LrwNXpt0wxtnRsxsJVdXWgzz0yYvkzBaNNBfKatHrIJe4/7cK+ bVerZhpWD3dKOW9klHDe3L9v8wpogNbAaOrMSgp2RLJj7zk2wnDwsd66Nbg/ F2qsrh1vhHtdB0XLVfB5s9ZI85MbweZdSxAH+3NVP9ezrREuNX+8o6xKwZU5 dtJSqybQHe7XiFKjYPC0x9U/NjaDY3netONaCqJOHfpLR74FuvoynzjoUFB+ 0qsn70UbvM5b1h63mYJ8M79OpYk2+KcyPIu2Be/H/OPFhSXP4OVg62AYdjD/ VMNJh2egoD3QxdlKgdG1lFu2Hc8gJCrez8MM52nw36ow/+ewayddydWCgu4F chdUOC9AJr5UpsiGgi4XP72gkHaY+nXSMteVAu6AtX9qXDsYa22N1D9AwWZf taLKy+0QxOxTfowtONmjQpa1Q+HwCPeNG34faXsUBZ/bYTOjd+lyNgX/dRjM Nhx5BUpZ9zrzvfB/ZTfzZLlrB9yLz09bGEjBYmu+dw3qBPWQ1KCZaAoWvfK6 u2n/G+g76n4MSilQXe1fFOvRB20KphckI/g+eo62mCf3g1uheihntRhqpqJ2 vbr6Dv4JUcgZY4vB53FTU1X0EIxX2Z4vyxFD+qECJQX3/0Avwa/FaEQMOs79 3+a83kMV555sidEU9Ir2tKEdY1AmWPjg2NkpmOhbvl5x70fYPnv8zcbuKUgq Djvs5DQOoU+nrfI3TANLTto29OpnqNWJq22On4b7nKjixKwv4L/e4rxweBpe qaeQ9skToLT2m26Z+QyonW3XOJAuAsOcbvtT+TNgYtdnmHX1K2j+mh18dsEs 9HBizfi8SajolP1wwm8W7prsk224+A2k5u030e2YBUXHxq7C2O+wbb4l39lk DmCAdrH2OAUJZ69XtQrmIF3RR5YVKoZBtZs7Z+ZLIDrzSPxG3ykIXSTzdI4j gT/b0oSJnGkIflR1vbZfAqcDUj7/EjQDH26rZdRo0NAYW+PnfR6zkFSt0WN7 gIbOz44Svd5zcP2addSDKzRU8cF6/CcXCaSal+wua6Wh1+rGA5vVaKjLbLGt iE5HPpqH9FLyaGhp7VvWkq10VOO4P9xcmY5c7W1Y6UF0ZOA8WiR/jY6Od344 yiyhI/+zVp2mKxhIJaPjVu0QHSV4S0/RUxiIb+o7l7eSgR79wpaMyjPRpP6J 5QHODPRgLo65LpGJDt6sy+UkMVBbqeUofzGBkmmFcvufMlDDam8hL5lAv6kd THebz0Qx5Xuv9cvMQ25cB1GcORO5qrx128+fh/LH2+TTI5ho+r7eCi1SChU2 nbjSUM5Ep5jvWy9HSKHfX9is/zbORIpqJmx1GokUmF1pS3QIFBLg+FXmJImE Hm/9N3sTaKWRZxMrnESva9rfmxwmUPXsHwKL0yTaJqV7xMSHQDJ8/rawMyQa /SIdaOxLoMzi+kvvz5FI2Xx7qlEAgYQjGzY2ZZDo6EP/fQbBBJI/JBccW0mi 8V2O2bpxBHqw7heba1Uk2gdJPrrxBHKbWKf8qJpEIsYKA90EAhWesRJ+rSfR gHD1Mx0ugbZkn1b0fEoix5YeFZ1EAnn0jN236MXOuW6sfYVAZJ6Y6/YviSYu F6hrpxLopj95MGyARKuTv8prpxHo27QKeXeYREbhnlNaGQTiKrk4rRknUcUQ 71+tTALpDRzWMv1CIm1xbZ9WFoFeFZ2QOItIlFi7tV8rm0DKJhcLkr6T6Lid eFTrOoHqaFnhN8UkkmNsEWnlEMin6eaepmkS1VtWzWrlEmhhUoXq4CyJ4njR Mtp5BPrLqem7REKiYIf45dr5BPofFUdp9g== "]]}, "Charting`Private`Tag$15697#2"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"E(N=3)", None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 3}, {-0.5811388010428642, 2.581138801042864}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]]}, { HoldForm[ Placeholder[ Style[1, Smaller]]], HoldForm[ Placeholder[ Style[2, Smaller]]]}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.770993915987617*^9, 3.770993999801549*^9}, 3.770999552884017*^9, 3.770999605348612*^9, 3.77100069751611*^9}, CellLabel-> "Out[146]=",ExpressionUUID->"09777b64-c405-4ef1-bb07-6015dd038556"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["IP & EA", "Subsection", CellChangeTimes->{{3.770994080666318*^9, 3.7709940807382383`*^9}, { 3.770994228161902*^9, 3.770994230139043*^9}},ExpressionUUID->"5c156f20-0c25-4edf-a176-\ 12c9195773f5"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "1"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "-", RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "1"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "]"}], ",", RowBox[{"Evaluate", "[", RowBox[{ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "3"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "-", RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "2"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "None"}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\<-I\>\"", ",", "\"\<-A\>\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.7709940844595633`*^9, 3.770994142873001*^9}, { 3.7709941882781363`*^9, 3.770994315766382*^9}, {3.7709943487326727`*^9, 3.77099434888482*^9}, {3.770995514970209*^9, 3.7709955929369164`*^9}, 3.770997393949993*^9, {3.770997459041751*^9, 3.7709974729486923`*^9}, { 3.770997583405622*^9, 3.7709975929747753`*^9}, {3.7709976239363527`*^9, 3.7709976502859163`*^9}, {3.770997692030328*^9, 3.770997700911429*^9}, { 3.770997750626052*^9, 3.770997829667235*^9}, {3.770998501672295*^9, 3.770998510654101*^9}, {3.770998573796771*^9, 3.770998630919694*^9}, 3.7709986867012663`*^9, {3.7709987243077097`*^9, 3.770998751502667*^9}, { 3.770999563475136*^9, 3.77099956563883*^9}, {3.770999614198285*^9, 3.770999629922285*^9}}, CellLabel-> "In[140]:=",ExpressionUUID->"baae6a57-cad7-4552-84c9-22c1af1dda01"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.34398, 0.49112, 0.89936], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV13s8VNsXAPBJj0EPKgqVRElFIol7r9apVHpdlITkWVK5kV4eqUlyNSGl JAlFHldJqDnDzCwkj1QeEUmIoTFeg4SQ3/79NZ/vZ++9Zu1z9l57n2UunvuO SjEYDNMpDMb/f0d2n3po4em1yX3XZa7vRgEGH1mpVaH5N0TMjbjvQ/y+V3gi TNMBqNefjM8Rpyt+Sfgc6wYhMQdiPIkl2VtDPTRPwTpz+bxjxCqrPuVN1nkD S3FW7GFiEx+2XlnseUiNMzexJHYq2ZRy29kPKKW2uC3EgQsGF9trXoIQ7cp8 PeLqrP1lt4dY4C6lnqhKfKRBJ2i4LhDMTNq3yRAPTZEG+9wgUJtYmdZvSPJd 1TqaHxsMVNPouzrihZa8nBWXQyB69OSLPOJUnyhPtjMbbIQR1g+Jy0t2te/X DAcfsWmbLXHGhXkW9tMiIP8ho9yA+MKNy8/ChyJA2qL0zGxi6Wxb98G625Bq 2C5NbxBgZXHxmxVlkeDT5j10nfh+w3oNm9w7oMQKSLQlXi01p4kXGwWp5WzT AQMBDij6/9kXdg+0qqo25hHnrRJFL7scDTZnVHuuEO+xLNwf7BwDLSHOcdLE ngnny8w144BRLK82pi9Ao5w2zcCF8WChOr4yi5hxRGuL3bQEaPl326AbcdmF u/GhQwkgLcytKdMToF28p11/3WOQfj9eenadADet0rzOtkiETOcH/crE6tmN HI2yRGAomjfzdAXYVbxT0To3CZxce2TH1wrwYq9GZW5sMkiaF//nqEPel0/D 7/2KKSBte1pqUFuAplK3dHrCUsDCTLIsiHj2gt/spZdTwWbpHU78GgHGmdRv C3L+DzKbPm7jrRJgQWho3l7NDGBpSxneWCFAgfjzu5lpGVA5R9Dbu1yAPLOV TWVrnoOWquZcC+JDUs6MRKVMMAPxHVkNAR4QjKkvVX0B61Qh2UlNgLsM9dwX rsoGeddwt1sqAjRrr/M6fyIblLZsHilXFuCOO5d8a9OzobJt2/hUYtOBcnbk 2hyoP5J92GMheR4Zbs/kDF5CQkrUPVUFAa7XjB1gAgeiY575yswWoH7tljE3 FgdKt94KWDRLgOuCOqcWF3CgJcnt9+qZAlzbaqgYZEpD6ki17xYZAWrFVW1k 7OICdeyux/7pAly8gBkwYpUHIz/W902M83H6DG9m5wmEyhiGsb+Yj6Kdl+UG UxAYL+/47+/k49uw0IUTQgR6HvPJKhEfS9gfI0N088H9r2fPK9r5eGNeb2Js Wj74xNrnSn3jo4K6RlHRwwLwGX5rP72Oj5qbw6YpBr8GabqiIbCAjwvbIqVj kogdDGOU8/kofS1m1tLXr8Fi7wH7DAEfxaUpCqsYRSB97XZ3VR4fn1sULjfx KwKjA/o2U17x0chp2PToqTcQXRJnLPUfH3dedr720roElPQCrCMj+Kh/s2D7 o7MlZP/qZf0I5+Pi+GXSYbdLwOlPM1OrMD5KBN/YRz6Q/o8+y81h8zHqt3PE /O2lkKlzyMXjKh+FAS4PTm8oA61vWt9rzvGRddH1hY5COTDanUwO2/KR43v0 65OqD8CKlFYJW8TH5E0n61QGPkC9VWa3jTKJN/V01c15FeC+Ieq3+kI+ng+7 +MZ3fwU4HWvseDGPj4aPIp/tra2AhLyvI7kyfDwkbBH4eVSCPN8p0X+Yhw0z 5W6qe1WBj5PvoddVPPxsd1LX+8JHqH/LTau+wsO5O8LcCqg6yOxbEh7QnIfy NUezNh76AqyvU/pkNPJQQ80j7ZpLM5RGbKxf5ZaLRl//Kd98+xuM5Ln8VZjL xYJfrD01D9qAulU2bCDHxRpl75+eiW0QsdfwQuMsLnYYuSbMTG8DLZPJ3ddk uTjrwrYfW3LbwGL7qYmG6Vy0HpSJfVFPrK37KmqcRnHX7a5wRSFkVtfrWYpp VPiaxN55Uwj5DYn1zcU0ao7fNWiPEoKop+L1yyIajRf928SKI/29VbaEFdLo YHtcn34mBJuY55OUgMa0Wp0GzXdC8FHYlZP3ksZNH16tmibTDvSNp88mk2h0 x9JSQWA7MAyr1CuCaBw1llc3YLeDSGZqvzCQRnbOQf+0W+3gtZx3cZxFY3pa h86dBNKe8/7jugAaeyOnRR4XEM9/+CLjHI1n3anDCr/awcfaIIdxjEbWXLr/ +OkOULKdmCq7m8a5oZO7mn06wOlEmdBuJ42PZ+xIsmJ1AKM6O/fZDhpfj9Va w80OsDjG22NrSuOMjsE8hWcdYMQ4Y1xqQmNorm4wijpAbX151gw9Gu+7pqgo On0HtXLv0bnKNHrsVirUdv8OlYWna68tJPNdf/24qdd3GPGaC+OKNLZKnaTP sL5DtM1/ryXzaNR+vNa6OuE7JOx0eT8yi0ZBy8tbN799B4uRMm7wFBojSjWN Uzq/A/XT32M5g0aXzHstgv7vIBlw+lD0m4NMlq9u7xQRyO+fmzp7nIMWS03e 71EXgejF1B78ycG2w0XSsq4ikCRnslO7Ofhq24bMZSdFoHXjTy3vLg6G6CQf ND4jApv45rubxBzUnvg32f2qCJwC73Q2f+fg+djdpiWJxDdOp5u2cVD6S/Xl IKEIQoIT7KMbONhQuHVlbLcIShtX9N78zMGn/+V8yP4hAkbykCe7noOWflFL 2qZ1Qv6BY3tCPnEwRtkub/MK4rZZCSnVHNSx+fbz99FOCLlCnzxfzsHYefD7 xj+dwChr2Pf0LQdl38dOVz7XCV5WJkJhGQdFm20U1geRdp25sxxKOZi0pkLv 2ONOMCr48cDrDQfnd2gb/0jrhHol1Sm8Ig4GJrCpKy86oXK/whJZYkfF7eYP 8juBCnp8OaOQgyqTPI+Kpk7weV+gopTPwetclbP2HSS+W7WzL3Jw5IyPf2dP J7C8Fnh8FXCwVrSePXWC5J/pVPmMz8GI6v9SNi4Sg1bGgJRXHgcnQ6WfF6mL oaX5Xvj3XA6e2uH2ynK1GEJsMjudiXfzlr05aSyGdW7mCo5cDs5Ijm6NPyiG hH0vjvpzOHjO6WentqMYfI453ZMhFqpY9XPdiP94kBTzioMFN+UYNefEkH81 5+Cblxxct+sfpnMAGf/wFsOROG5a+ZzeIDGpD8PssRwOXvQNXiJ9RwxmLgd2 mRB3rRcuv/uAOGh7YGs2B+16N2urJ4rBqCn7EZt4o+vEH39liSHzXF9sWxYH B/actfGqFINo7V8Z9AsOOjOrHSfqxFDpd3T3OeLKAt1j7GYx1DdXfzEgfmbY dS6pVwwM2rKRl8nBxf1mAXo/Sf6ee82vEbPTk4MEE2KgSp3zLIjd1Vwi62d1 gajkUZDkOQfrGjDmqEIXSK5mCYuIt99d8nhgURcYzUzeGkucY+6fdlmjC7x2 9Dw+T6wh+zlz1pouks/IVCvi20WG9H39LlCjNrobEDMu30HNP7qAYitVLST2 NB4ozt7cBS2JstTvDA42DZp/oHZ2gY2u/6vvxOGL6jS8LEn8KJlX1cSbtjr4 xtt2gdnCbWYFxL0n2j98cCbx8sdPZRPH3/ZY/vt4FyS8/L0mjdgid9BXx5vk q6d05TExo9Wvwt6PzOeKolc8caaM1IrQwC5wn1n46/920rvul8cm47eJ1JOI 5W3lK8W3u8CCZylOJy5g3Vuh8oCMn1Oyj0PsnarqvzORuE/OoZhYvfJJpU96 F6QuH5z9mbh6WFszNbsLWEGGR/qIA5fm+NfldYHSaJyLDJm//o4/q2YUkfYA iexK4rZThZqG77pAWrXXwYz4TtTOi0druoAetnX6h9hUUFl1p5GMNxqSjyL+ 0X5wZZGQtC9meRcSJ81uvjjY3QX5A9zgAWKrDW7V6kMknwXO5prk/U4/3LNy 3wTJd1D/w2Fit6dj1Zmzu8G9csdQHfGCmkCtFsVuSO1hPFIh66d4TOaSnGo3 JExWyjgTr9yttOrU2m4YqbinPEpc7x1/6aFhNygpTrzeRdZnSIxmzbtN3eB0 yFo/gVjUaXB5jXk3ePlznK3Jeo6ey6uxO9gNIiNNTQ6xmfHW1WzHbjATWL9c RPZDWohlrcizG+QP5f8hIbbLrF+t5EP6p9gYOJH9JFvvyNrBIv+veXryI/GJ lafWJEeQ/uxP8iVkP6qYD7Fqo0k8sZ/ddrJfy89f/DTtEfHZvy+WEWsXs6+4 viDz27fS/AvNwZ4jKXVq1d0QUfXdUYfUi7jQtToWDWQ+rfvvlxP/nfMy8HJr N+QfVqX/4XEwY2qRTtNAN9AJ+5/ySb3xetxy9cH8Hqi8nh4bSurVQLPyugUH ekCitmG6qJiDaq7DBksP94DWkm9UQQkHzTtqjLWO9kB91RnrOFIvn3bf3PrH uR5QeviX4hFSX91Gpx90uNsDXhpZsqofSD2fNxCQXEvie1cs3kvqtXRUReDz rz1g1MBIOVJH6oPys3/p9h5Yd/K4OovU9ztL3W+9HeoBeYgcKCTnwd/aTUm9 ir1gsWxsqU8zWb/b3pYbWveCpP5656NODkpKUyrBoRciNm1cN0rOG9U912rN 3HqB5el3yYqcT377qGa7870Qfdpo48I+Dho4vhq4FEXitUbD+x8c8n31WLnk Uy/kN/XXj5PzMCLd79jBg32wbou765nFNB6asu1drUMfVI5WzFmrSu4rB+X0 rNz6wMml2LF7KY08qaRfFueIh9x/ntGgUWT7PmxXZB+MbI2f93w1jSCtlmNS 0QfUC932WmMaL2S5MG5rSIA+FiPotqPR/muJvuVKCeT/5ymlepjGLdI6R+XX SIByyJHd70jjLIfhsnB9CTA+b/AodSX3C5nQyBubJaCmERna4kHjB6eXmtcc JcCSnzWr5DLJT056r88DCUi+1GmdSaXxqeRKcki8BKRNMnJs0mnUrx6bjE6U QELq94otGSS/u31Z3HSSz/1senkOjTaL6pTG8iRQmlLktTSf3JdWJgsDGiVg NPLLsb+e3I/A9OLVJf2g9S9Pe84cLp5dJqiNXEYcvin637lc/CVlpJu0oh8S uuOzpitykVm8prVIpx9G7NOG5RZzUW3PfLMZm/qBFWzUaL+ai/tsWudfdyDj Bxs+1e/g4isvVnp4fD8w/oJ7jsFcZOdJcmwT+4Hm3Zdbw+ai4wxnwfKUfrAx UM75FcZF6djNVbkZ/eA+d35Q8l0u2pVIDXfw+yF18L7luidc/L3k2hZo7AdK PUJn9hsubiu//rlPaQC0guYqSJi5WLMikml5ewCiT3Zb+8bk4s6VSkb/RA1A RI6CFy8+FwVaD92vxwxAy77Re9Oe5GLampSygscD4B6svyDpeS5e0su7oZ9N +lu8+bL0TS5qmbTJKdQMgJFGl9TM/ly8aLVeqU5xEKSZ87Zl78nD5Vc/ah2+ PwhKry02HZnPQ5usqXpuDwchWiXHsFKZh6Hf1ht7PhqEUqNrqzar8XAI7uy8 kjYIEXXhk3o6PCwetzrxhDsIajO/njXfwcPj5z+l93weJN+rRgLfizzMOP55 7SWVHyBxOXo8TMxDY4tmg/gHxPu8Z+TV8vGr17VNYaFDQKWdHdUvRMwytp39 5tZPsN9ueuD0/AJcYF3yOfXaMNRsX2IqbV2I0Mq4VXh2BOzfTa7rzH6N9xe4 z9b0GYWct5cOLLN6g4Fxx//dcOIXPJXtWPpxtBgffoguDvcag5piP+uc9lIM OBUpWeI9DkYz7NjbxW+xy1lLydZlAkQXNrU+Fb3DGxPiaU1uv6F0sv9mlm4F 5nbv6JtjNwmlDM/Hc15W4qcVRq1/LGdQXoui6/Trq9B9latu5BMGNd5m3WSq 9hELrA/5b1adQqVOp0bnHK7B9TbiNIVHU6junOA4B6xFj6vb60wWSVERyvOi 3syvwxA36V9TIqUoq94F+xuP1yN/ifOkWGEqJWIeikhu/4zc38FTV4dPpRq1 /7yH5l/wQ/ZWcdjcaVTQqoyYb82N+EbNrTj09jSqsax7gOHVhEGcA4++yU6n Kp2/tO3pakZ79UaHQ2HTKVnej0q74hYce6W7aA1zBlXqsVXQeuMbXpza+e7u pRmU6ubFJt/MW3HBcmPnFQwm9eNs9JFRzTa8cMr6h6wvk7JZM6ZU29+Giw2P lGr6MymvgLYjrkNtmD9xOnZLAJMy8rCu6x9pQ9mwMFO/K0wq1zJDV44hxLj0 ojud15nUidMdT3fPEWKxSH9DaQyTUtgbXFG+WogKrnLnr/HIeH10E7kKkbt6 ya5HAiYV9Gj+Kf9jQnQYWK3Kz2dSOVdvxMw5KcTUK9uLfxQxqVYO12WDtxD/ TAhYcOQ9kyq1+JoRxBKiy9euV1uamNT5blp79UMhMp+Msh1amFRlu+YVTBDi Uw+mo18rk9pnJ/vLKkmIP8fUmVkdTGoBZ4YtK12IbBW7g8v6mFSyStrbeq4Q dVuPrTHpZ1LVGVGbPflCrEk7N2kzyKRa1JIapxcIUdX4VkrEMJMKV/hxaX2p EF8z4v2fjjKp5XbLgt+WC9G99Kl56RiTCplu+sK5QoizInI1hBNMKvWKJWO0 WogvDpYOT04yKXkTOBPxSYj/A35luFQ= "]]}, Annotation[#, "Charting`Private`Tag$15136#1"]& ], TagBox[ {RGBColor[0.97, 0.606, 0.081], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV13k4lF0UAHD7qBQJSVGRsadUSsUZUQmfFCEhskRatNlFltJky1Z2leyl KIo+S1k/smVvky2zWN4hMsJ3/DXP75n3nTn3nnvPPXfruSsnHbk4ODh0OTk4 lj//GFxOMb7ippU5/TDJY5CAOw5y8i1kI9jAmXBv2Z/Ghy6Ek21g98UUk2Xn iX5J7012guzTz+bc0ZNFOmEXyZdhiueVz7IlFLrKlrqvgUVVZe9NtKYndWdD sjvQ5zrWLdu2Tisr2s4bgneOK9xAB4pNbbIi34J6rtWbrqPbC00aon8HAHmL Gv0q2qFPJXi2OxA6TGxi3dC/OfnBqjQY2v2jJa4sx6swMFeZfAeGUlp8L6HX n3j/WtY/FBIrxMpc0dme8VeodlQ4ssal0wXdWKc/bEKOgGyj3amO6BcewsZW PFHwdcVLQ3u0x33/5xG/o4Aj5GC3LZq/6LTzVHc0XDCJCDiDbq2trZFtiIF9 283TLNAJfbtkLEpjgatnb+IptCLXmu/vk+OhNF9v23E0S9TnwET4QxCW9Csy QJcpjD7a6v8I1H+1SemhDU98MLljlwgR4iP3KOgr6e4Nx8mpYCvAWaiK3vd6 kBy4Pg2Gq/ylldAcDvKHLHnS4ZbF7itkdINHXFrY73SgvDBI2YS2TLtiSXQ/ gdamSEMSWkuBfI9q/BQ2Fm9I40RLF30tkWl4CsbE9Kf5AQIYtcdEzUozQL3r ReUE2ndcprU0OROWPj1md6JtPfsWTUSzIEpUbkcLWpfrgcpYeBaE8Gw+VI9e LbZI3eyfDTPaXvPv0KmaPYeD7XKBoWldnYSuCgsr+4f8AuqlbYss0OX03qZV OS9grJ8xboR+ryf3vUGpAAbshDkPo89w2XE8FX8J00+NcnagT5XPS2+WegWD hP1KPrS++k7n9QpFsHPEWSznJwF6w91u7heKQFokuCIZfTT2lldnXhFo2lRD FFqX1UiN2f4ajNS/1LijtV44PRfc/Qa8L3jRtNG7yMksEpRAbm/iw9Z+AtQ6 D807BZTAQZHekir0jmAad21VCRhdGCkoRG8fUBcN1n0LVNUUuVi0fGrbXg79 d3DDrEH9FHqTGMnvj2kZGMPU95YfBPDyXSPRLlTA8xVRRVnfCRg95i84lVUB xgbv9sah/wsPW78wVAHKV40TA9F11M8xoaqVUPuZzbZC3xcef5qcUwn1Dc+U hNAi0jLV1SlV4FnQdMrtGwFk7XAe0TsfIWA+X0X8K67/wRj+xIyP0O/4NIET zR+SKLD540foNK0Zpn8hgF6fJaLAUQ3G8g1S/6ILjD9s0/SuBlPZIFFb9D7b WV3HyzXgzUyQSe8j4Ji/XcgbszoQ/nx+z4penJ/IqiOPb9RB8FoZg4keHG/a Vv7w6DooDtLV7URPlv+kOjTj84kL/eno+EW7qHVH6uFLoWytOnrI71zS1T0N IBxxzci6m4AAX/tXKiKNYLym63NcJwElXo7fnrU1w7576W1v2wjI1HLtlmA1 gxFvY0QcOp77alukcAuY2dNUr6Hdw31rvExawL32kpQSWv1xzPN/Olug9Et4 QVIrrqeh/nLvi63Qtkq91KOFgL5VgpHSbm3AH1+yZ9MnAnotXVWveXyGF8lJ ipL1BKw9Gu5URemG+e8/e2b/JUCow7Fw75kv0CM5mbqjkACZLRdzQs79AAGv oJRzmThf3y41akf/hEqlWpn8JFzv7ADDjqRBEEnwPT4VRUDHhmszV54OQq/D 9bpP6JF99umr8gahfarCNBst4HF4+lDpIDgOdRVYo82mViS/6hmEGtY514ZI zBcjmhEhOgRK4ZLrnkVg/r9lUI9FDkG+JnXhUhjm/2/c7uH4Ifi+eNDKAK2x 8e73gFR8Pmtrhzza5rSL2tvnQ5A5xxYcuk9ATqdKH7lpCPQe65adQWs1Fyvw rBiG9/V97ONUApwr6uvLA4fBdp0KyzCUgDkNIend1GFI3SF0fDua+trcJ+fB MBz90FgniM7LGVGJTR8Goy8HV3++S8B4DE+MS/kwaLVtYFiibzhTrEXYw+B8 WGeV2x3M99q3hMvVEYjuhPSXwTjfYUv6PzxHIDPe8EUc+gnf0QzTgBHYopn3 xRv9cb7TDCJH4GZtY+xhNN/IVJnI8xHg2fEw6GsQAWGlqncqRkdArUjZVQid YJ8lIWr7CwqVH25+cJuAiwbiH5Sdf4HKJnNrT7TWrnsuum6/QGg98fEseoDL 9e31gF9AfbZfQBWt/GS7WXv6L0jc1hXWEoD1qv/Ng8ifvyAkLdlVHB1VT9bI ov0Ch4q6I1zocy8f9pcTv0BVcMSQ6U8AKcBLdZxzFHaK3u6rRBtv1vxkKD0K UgdaF13Rg9bV/CvtR+HKyrzQ/24RUHx4z8utrqNQ+DZIugQdqpJprnF9FGbm rGlP0coLdzOdg0aBrJew6Id2TzbQrXs6CsXiJfq70fxf2v2Dh0bBmf+/kBw/ XN8fdOSSmaPQZD2w+Aidn/u6uWh6FGwtlzJD0Se84yUHeWhgdbM22BmduMGy TFuWBgebObwV0SoWP2cWHWkgHlrmVOJLQLIwLN6/RIOofJWaXPTKT8m8G27S 4GinjlEqelTbQmRXMA1ahav6Q9AZSi07zz+hgYhhxQpz9LoRZY3pHBpE/Fxb aYAOTKdSbr+igebhtscU9FnRI8eTKmmgK8/+pYiWWHp/seU7DXo25d/mRN97 J3HDaoQGtmTJ+FkfAv5c9/ShjdGA/3xV1xi6c3QXlXuBBgKr+L71oaPac7P2 bqTDgKIqRwl6KYy/oFqaDot+NM8X6MtHnYpPKNIhlDdJKhNt8H5rjasGHexn dIk4NF/mo4E0czooip4p9kDftJ2hKZ+lgyefe4IbekjClHjnRIfsomO5Luiq SEGOjpt0OKjnc8oKvUP/EsnOjw59G1ZMnkKn8jSuGQ+mQ6VPwdvjaF+vO5L8 sXTYZvasQwfN2DW0LS6JDrrO2+S10Jbj2srST+kwpLkxdx96r/3C/oOFdDgz 26yxHc0yvGHh1kqH8Q+D1I1oO1L72YVuOjw3LzZdj26tUj1P/YHjVfn3n3Xo 5+qMmxnjdAjYWPNpFXoToee3c4YOf7qmTfnR1LzM4PIFOgRvKl7Fi3beci6m R4ABtzbp8y95E9DdV5HoKMIAkDcw+os+Eif5hLWRAa9t91fPoV8f98nxl2GA R8f2C7NomZW9LwWUGPD8LlB+o6Or1d8mqDGA60bQkSk0h39sBXk/AzJC1/oR 6CsarNoibQZo5XIMTaC/Tx1vphxjwEzheZ9xdMTGbhm3Eww4n2CrNIbW0rHx SjvNgBsngkWY6PELw83NdgzgaZpQZ6DToi9uW3RhgCWjIpqONi6d8lK5xgCR oLXyy+YY8G6x8mbAZgvOWRr65Qou2bBABhRvyV9atu3Oe95lVHw/ePuh5eeF Tgu10qMZULPxWfmyqwIeykokMWDCTfnm8v9dy5byOfaUAUuL/Y7L8Ui3Pmv1 zGOAvtqPqOV422eVydlFDNBz1plZHk/g5tc+3WUMiJ5QiJ9Eqx090MZXzYAe UoEbCz14+QNZvYkB/T/HQ6bRsfHHfB07GOCbxts1g9Ytb22L/cqAQBNBu+X5 nx42l6seYkATp7zccn4yVv/wnWIyQDnNVX45f6Z7nNqlfzPgwtoZBy7ML6/1 mNzJBcyn6uDX5Xw75c+3v1zNBD4/U//VaLGOQPl+USb0rRHKXYuunV9xS1CK CWzBFCExtJyBuMLl7Uzg8Et4sBndcy3tVoo6E062Qf42dGgiuaNJiwnFjrLc iuhR2m5/peNMKPHY6LQH/Wjt+w5LcyZE2J+7dgCtp6GjSD3LhCHXU2Xa6JzQ E52jV5jwijefe3m/WL7sURT3ZMIt6mFuM/TKnrMBRwOY4CY8C9boC3KXlTKj mPDYefXVi2iJ478DOh8xIeNFluMNdKO7bxfPYybo/qp+6ItWrqXetn/FBMWb rNfh6DGHrO4t7UzY4LfYWbi8X8O2qxj3MUFaK+7de7TR6zeB/gNM+Dp8+0st +gV3tcp3FhME9tf0fUG7PekPSlo3Bilv/2vgx3rF+rFhh9ipMRA8aRJwGb3F fnb3ZusxaF+7RsQXfXykQ0PecQykNM8P30PnMyN19t/E7xtMtDPRTnO85jZx Y7BXOq//J7pPmOWX2TkGKrNNbQ5Yn/njWwILvo1hnt303dF7Nzy/+3Z4DIri yVzL9T12s/OD/36PAbFLQTUfbaT8PWNcdBxEC5duz6KrDv/XqG42DpEpj6QS 8fyYrM9qBZtxoF3njilASxmGdOo5jcOfzF9Ha9DeJyk/LN3HQeLu9esEevfZ Ytat+HGQjZj7bOi/fL96sqGuaxyYkpGfBJfPxzzv8+bmEyATrK5eh+fpGc7D TZ02E5CyxOwfQJPNBXeaOk0A2elvzSL6PVcG2/jmBJhFOsHeQFwvpz+F68dM AGVagchFA/+W15otEyAyf9ImBc93j8JzHNEyk+CbSWt8EUKA1bc6tRNyk5DP Jve3oQ/xqzgKKU3C0OG8Hb/RAjazDRFqkxBl/fHOQew/nqwIi7mvPQlqag38 zehm2zfkkLOTwF9V6fYX+xWyIP8/nkmTUOEXrnYX+6H8yduZoWmT0Dqof/8N Wq19funR00mgei8qD6EhbqLwXd4kJGvcNziE/ZTFxm7x+TKMT19glhP7L6pc 5pDf10kILlgSjQzHegW6vkGSWDfqGwf6sd+7sbW8M2Yr9iGjQV7iDwhgc+1T zZDFe8GiwhljNKlWaaBaBet6nPdSJXqL4To9Pi2s06EfPz2LJuCkxcC6ezYY V8GlcL9Y7CfcAvIi0gionLo+5/gI/79s8vXppwQ0Jc29fII+y2dXvi0L63iM dt4PNH+ydlvpC9z3O7WdLRNwv9VxzY5g37s/bQOvSSIBi5IhhwDvEdu4etuN kwk43Hivd0KcBYfEtTn907G/lY0hnYhmQWnt5bisHLwvyInvuxTPgmMGnHXz 6HL5FOd7iSzYHud/zDgX97dSVkPVExY4ydtrs9G3dpbdVytiwYpT7xdO5ON9 SnNQUKSDBbsLt78UKsDz0nSXeLfoFLhtObG78TXGEfRZ3jphCtQEhnXUq3C+ C7l3OqVMQa62K3cKOuznLo0rj6cgzOSRMM8HAn5D7LHbOVPgNfZn82d07V/T C8/eTUFh6z+zN6oJcHHvyhvrnQJG+GBSXR3ub5fe7bckpkHVLL4ruxn7aeMf u9OS0LLnX57B+9Y3txCt8DD8Vf2HqjJ/CSjUOL265sEMNIVmK16WZoGYWV1v dsgs9GUH8VfpswAGOB58uPEHwuY2k/3cWZAg5rya7DkHZr0FisG5LAhMdbm7 5wIbzKr+2u//wYKU5ke1EW7z0GfRQi3eNAV+l2MmJa/9hTqKQZueNcZpJy9+ +twCLDQfTRbFcd9foPN8d1qEOVg8MTM8BaXMoxNrLJdArTIpW0dlGrpk9w3s 38ZB+co38kbAfRqcFexVY55xUJbexu1dWz8NVWZnfLSlOCkXOI3Lddb/hl0W 9ByRx5yUA88fZ3Vf+Q0Xg450a27kojjcCXYkqn9DqBM/mzOGixJXViPiITED /0raLdFFuCnsKrEMF68ZeLd4h1sxgpuyt7F5eOLzDDQX6dDD1/JQ7Kh5Tn/2 zkLNFqfasGgeioda2UGO5FkILjn1+OdKXsqNnpl9n9mzYCX91eZMOC+F18bb WcX+D8wXq25UIvFRHIq3niVq/oAvN60p7hYfJXJLROqk3ByIbdOwk+UgUbz3 Gxb6xsyBx2Wz6ZVeJEp+nF8Y/c8cbFJ3qCf7kChvy68WvmLPQeXC1eRDfiTK JvU8huffOVgZHq7rfZtE+Sbf/ZDEwYbUvOpY2j0S5c2+612yJDbUjqrtqU8k Uajkj78cRdkgYi/oHvIe3084u2t6JxveKUrqPy4nUT60rij5dxcbbFiKUv9W kih9VYf/ubuHDdm3j9ROV5MoxBerVxIabDiQ7ifm8IlEcci+bH6IwoZz3xjF h76TKAfcrcTijNhAejZHteknUUavxVSeNWZD/kXSWe8BEkVBhddP8SQbZual SYUjJMr9M0HKlafYQJWwNN86QaKYhJs6Mq3YoDpwXkmTIFFczBvTS2zY0JFz c8liikRxEzo5HmjLBimNB1lRsyTK0ZXeFRsc2PCRI80nf45EEX4upDPsyAbn +vzj9fMkSjXXk56X59kgEFUqM7RAonRUygf4urDhlXn97NISiRKamqah58qG /wHGRWz4 "]]}, Annotation[#, "Charting`Private`Tag$15136#2"]& ]}, {}, {}}, InsetBox[ TemplateBox[{"\"-I\"","\"-A\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.34398, 0.49112, 0.89936], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.22932000000000002`, 0.32741333333333333`, 0.5995733333333334], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.34398`", ",", "0.49112`", ",", "0.89936`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.34398, 0.49112, 0.89936]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.34398, 0.49112, 0.89936], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.97, 0.606, 0.081], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.6466666666666667, 0.404, 0.054000000000000006`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.97`", ",", "0.606`", ",", "0.081`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.97, 0.606, 0.081]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.97, 0.606, 0.081], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{None, None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-1., FormBox[ TagBox[ InterpretationBox["\"-1.0\"", -1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-0.5, FormBox[ TagBox[ InterpretationBox["\"-0.5\"", -0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2.5, FormBox[ TagBox[ InterpretationBox["\"2.5\"", 2.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {3., FormBox[ TagBox[ InterpretationBox["\"3.0\"", 3., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, {-1., -0.5, 0., 0.5, 1., 1.5, 2.}}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 3}, {-1, 2}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV13s8VNsXAPBJj0EPKgqVRElFIol7r9apVHpdlITkWVK5kV4eqUlyNSGl JAlFHldJqDnDzCwkj1QeEUmIoTFeg4SQ3/79NZ/vZ++9Zu1z9l57n2UunvuO SjEYDNMpDMb/f0d2n3po4em1yX3XZa7vRgEGH1mpVaH5N0TMjbjvQ/y+V3gi TNMBqNefjM8Rpyt+Sfgc6wYhMQdiPIkl2VtDPTRPwTpz+bxjxCqrPuVN1nkD S3FW7GFiEx+2XlnseUiNMzexJHYq2ZRy29kPKKW2uC3EgQsGF9trXoIQ7cp8 PeLqrP1lt4dY4C6lnqhKfKRBJ2i4LhDMTNq3yRAPTZEG+9wgUJtYmdZvSPJd 1TqaHxsMVNPouzrihZa8nBWXQyB69OSLPOJUnyhPtjMbbIQR1g+Jy0t2te/X DAcfsWmbLXHGhXkW9tMiIP8ho9yA+MKNy8/ChyJA2qL0zGxi6Wxb98G625Bq 2C5NbxBgZXHxmxVlkeDT5j10nfh+w3oNm9w7oMQKSLQlXi01p4kXGwWp5WzT AQMBDij6/9kXdg+0qqo25hHnrRJFL7scDTZnVHuuEO+xLNwf7BwDLSHOcdLE ngnny8w144BRLK82pi9Ao5w2zcCF8WChOr4yi5hxRGuL3bQEaPl326AbcdmF u/GhQwkgLcytKdMToF28p11/3WOQfj9eenadADet0rzOtkiETOcH/crE6tmN HI2yRGAomjfzdAXYVbxT0To3CZxce2TH1wrwYq9GZW5sMkiaF//nqEPel0/D 7/2KKSBte1pqUFuAplK3dHrCUsDCTLIsiHj2gt/spZdTwWbpHU78GgHGmdRv C3L+DzKbPm7jrRJgQWho3l7NDGBpSxneWCFAgfjzu5lpGVA5R9Dbu1yAPLOV TWVrnoOWquZcC+JDUs6MRKVMMAPxHVkNAR4QjKkvVX0B61Qh2UlNgLsM9dwX rsoGeddwt1sqAjRrr/M6fyIblLZsHilXFuCOO5d8a9OzobJt2/hUYtOBcnbk 2hyoP5J92GMheR4Zbs/kDF5CQkrUPVUFAa7XjB1gAgeiY575yswWoH7tljE3 FgdKt94KWDRLgOuCOqcWF3CgJcnt9+qZAlzbaqgYZEpD6ki17xYZAWrFVW1k 7OICdeyux/7pAly8gBkwYpUHIz/W902M83H6DG9m5wmEyhiGsb+Yj6Kdl+UG UxAYL+/47+/k49uw0IUTQgR6HvPJKhEfS9gfI0N088H9r2fPK9r5eGNeb2Js Wj74xNrnSn3jo4K6RlHRwwLwGX5rP72Oj5qbw6YpBr8GabqiIbCAjwvbIqVj kogdDGOU8/kofS1m1tLXr8Fi7wH7DAEfxaUpCqsYRSB97XZ3VR4fn1sULjfx KwKjA/o2U17x0chp2PToqTcQXRJnLPUfH3dedr720roElPQCrCMj+Kh/s2D7 o7MlZP/qZf0I5+Pi+GXSYbdLwOlPM1OrMD5KBN/YRz6Q/o8+y81h8zHqt3PE /O2lkKlzyMXjKh+FAS4PTm8oA61vWt9rzvGRddH1hY5COTDanUwO2/KR43v0 65OqD8CKlFYJW8TH5E0n61QGPkC9VWa3jTKJN/V01c15FeC+Ieq3+kI+ng+7 +MZ3fwU4HWvseDGPj4aPIp/tra2AhLyvI7kyfDwkbBH4eVSCPN8p0X+Yhw0z 5W6qe1WBj5PvoddVPPxsd1LX+8JHqH/LTau+wsO5O8LcCqg6yOxbEh7QnIfy NUezNh76AqyvU/pkNPJQQ80j7ZpLM5RGbKxf5ZaLRl//Kd98+xuM5Ln8VZjL xYJfrD01D9qAulU2bCDHxRpl75+eiW0QsdfwQuMsLnYYuSbMTG8DLZPJ3ddk uTjrwrYfW3LbwGL7qYmG6Vy0HpSJfVFPrK37KmqcRnHX7a5wRSFkVtfrWYpp VPiaxN55Uwj5DYn1zcU0ao7fNWiPEoKop+L1yyIajRf928SKI/29VbaEFdLo YHtcn34mBJuY55OUgMa0Wp0GzXdC8FHYlZP3ksZNH16tmibTDvSNp88mk2h0 x9JSQWA7MAyr1CuCaBw1llc3YLeDSGZqvzCQRnbOQf+0W+3gtZx3cZxFY3pa h86dBNKe8/7jugAaeyOnRR4XEM9/+CLjHI1n3anDCr/awcfaIIdxjEbWXLr/ +OkOULKdmCq7m8a5oZO7mn06wOlEmdBuJ42PZ+xIsmJ1AKM6O/fZDhpfj9Va w80OsDjG22NrSuOMjsE8hWcdYMQ4Y1xqQmNorm4wijpAbX151gw9Gu+7pqgo On0HtXLv0bnKNHrsVirUdv8OlYWna68tJPNdf/24qdd3GPGaC+OKNLZKnaTP sL5DtM1/ryXzaNR+vNa6OuE7JOx0eT8yi0ZBy8tbN799B4uRMm7wFBojSjWN Uzq/A/XT32M5g0aXzHstgv7vIBlw+lD0m4NMlq9u7xQRyO+fmzp7nIMWS03e 71EXgejF1B78ycG2w0XSsq4ikCRnslO7Ofhq24bMZSdFoHXjTy3vLg6G6CQf ND4jApv45rubxBzUnvg32f2qCJwC73Q2f+fg+djdpiWJxDdOp5u2cVD6S/Xl IKEIQoIT7KMbONhQuHVlbLcIShtX9N78zMGn/+V8yP4hAkbykCe7noOWflFL 2qZ1Qv6BY3tCPnEwRtkub/MK4rZZCSnVHNSx+fbz99FOCLlCnzxfzsHYefD7 xj+dwChr2Pf0LQdl38dOVz7XCV5WJkJhGQdFm20U1geRdp25sxxKOZi0pkLv 2ONOMCr48cDrDQfnd2gb/0jrhHol1Sm8Ig4GJrCpKy86oXK/whJZYkfF7eYP 8juBCnp8OaOQgyqTPI+Kpk7weV+gopTPwetclbP2HSS+W7WzL3Jw5IyPf2dP J7C8Fnh8FXCwVrSePXWC5J/pVPmMz8GI6v9SNi4Sg1bGgJRXHgcnQ6WfF6mL oaX5Xvj3XA6e2uH2ynK1GEJsMjudiXfzlr05aSyGdW7mCo5cDs5Ijm6NPyiG hH0vjvpzOHjO6WentqMYfI453ZMhFqpY9XPdiP94kBTzioMFN+UYNefEkH81 5+Cblxxct+sfpnMAGf/wFsOROG5a+ZzeIDGpD8PssRwOXvQNXiJ9RwxmLgd2 mRB3rRcuv/uAOGh7YGs2B+16N2urJ4rBqCn7EZt4o+vEH39liSHzXF9sWxYH B/actfGqFINo7V8Z9AsOOjOrHSfqxFDpd3T3OeLKAt1j7GYx1DdXfzEgfmbY dS6pVwwM2rKRl8nBxf1mAXo/Sf6ee82vEbPTk4MEE2KgSp3zLIjd1Vwi62d1 gajkUZDkOQfrGjDmqEIXSK5mCYuIt99d8nhgURcYzUzeGkucY+6fdlmjC7x2 9Dw+T6wh+zlz1pouks/IVCvi20WG9H39LlCjNrobEDMu30HNP7qAYitVLST2 NB4ozt7cBS2JstTvDA42DZp/oHZ2gY2u/6vvxOGL6jS8LEn8KJlX1cSbtjr4 xtt2gdnCbWYFxL0n2j98cCbx8sdPZRPH3/ZY/vt4FyS8/L0mjdgid9BXx5vk q6d05TExo9Wvwt6PzOeKolc8caaM1IrQwC5wn1n46/920rvul8cm47eJ1JOI 5W3lK8W3u8CCZylOJy5g3Vuh8oCMn1Oyj0PsnarqvzORuE/OoZhYvfJJpU96 F6QuH5z9mbh6WFszNbsLWEGGR/qIA5fm+NfldYHSaJyLDJm//o4/q2YUkfYA iexK4rZThZqG77pAWrXXwYz4TtTOi0druoAetnX6h9hUUFl1p5GMNxqSjyL+ 0X5wZZGQtC9meRcSJ81uvjjY3QX5A9zgAWKrDW7V6kMknwXO5prk/U4/3LNy 3wTJd1D/w2Fit6dj1Zmzu8G9csdQHfGCmkCtFsVuSO1hPFIh66d4TOaSnGo3 JExWyjgTr9yttOrU2m4YqbinPEpc7x1/6aFhNygpTrzeRdZnSIxmzbtN3eB0 yFo/gVjUaXB5jXk3ePlznK3Jeo6ey6uxO9gNIiNNTQ6xmfHW1WzHbjATWL9c RPZDWohlrcizG+QP5f8hIbbLrF+t5EP6p9gYOJH9JFvvyNrBIv+veXryI/GJ lafWJEeQ/uxP8iVkP6qYD7Fqo0k8sZ/ddrJfy89f/DTtEfHZvy+WEWsXs6+4 viDz27fS/AvNwZ4jKXVq1d0QUfXdUYfUi7jQtToWDWQ+rfvvlxP/nfMy8HJr N+QfVqX/4XEwY2qRTtNAN9AJ+5/ySb3xetxy9cH8Hqi8nh4bSurVQLPyugUH ekCitmG6qJiDaq7DBksP94DWkm9UQQkHzTtqjLWO9kB91RnrOFIvn3bf3PrH uR5QeviX4hFSX91Gpx90uNsDXhpZsqofSD2fNxCQXEvie1cs3kvqtXRUReDz rz1g1MBIOVJH6oPys3/p9h5Yd/K4OovU9ztL3W+9HeoBeYgcKCTnwd/aTUm9 ir1gsWxsqU8zWb/b3pYbWveCpP5656NODkpKUyrBoRciNm1cN0rOG9U912rN 3HqB5el3yYqcT377qGa7870Qfdpo48I+Dho4vhq4FEXitUbD+x8c8n31WLnk Uy/kN/XXj5PzMCLd79jBg32wbou765nFNB6asu1drUMfVI5WzFmrSu4rB+X0 rNz6wMml2LF7KY08qaRfFueIh9x/ntGgUWT7PmxXZB+MbI2f93w1jSCtlmNS 0QfUC932WmMaL2S5MG5rSIA+FiPotqPR/muJvuVKCeT/5ymlepjGLdI6R+XX SIByyJHd70jjLIfhsnB9CTA+b/AodSX3C5nQyBubJaCmERna4kHjB6eXmtcc JcCSnzWr5DLJT056r88DCUi+1GmdSaXxqeRKcki8BKRNMnJs0mnUrx6bjE6U QELq94otGSS/u31Z3HSSz/1senkOjTaL6pTG8iRQmlLktTSf3JdWJgsDGiVg NPLLsb+e3I/A9OLVJf2g9S9Pe84cLp5dJqiNXEYcvin637lc/CVlpJu0oh8S uuOzpitykVm8prVIpx9G7NOG5RZzUW3PfLMZm/qBFWzUaL+ai/tsWudfdyDj Bxs+1e/g4isvVnp4fD8w/oJ7jsFcZOdJcmwT+4Hm3Zdbw+ai4wxnwfKUfrAx UM75FcZF6djNVbkZ/eA+d35Q8l0u2pVIDXfw+yF18L7luidc/L3k2hZo7AdK PUJn9hsubiu//rlPaQC0guYqSJi5WLMikml5ewCiT3Zb+8bk4s6VSkb/RA1A RI6CFy8+FwVaD92vxwxAy77Re9Oe5GLampSygscD4B6svyDpeS5e0su7oZ9N +lu8+bL0TS5qmbTJKdQMgJFGl9TM/ly8aLVeqU5xEKSZ87Zl78nD5Vc/ah2+ PwhKry02HZnPQ5usqXpuDwchWiXHsFKZh6Hf1ht7PhqEUqNrqzar8XAI7uy8 kjYIEXXhk3o6PCwetzrxhDsIajO/njXfwcPj5z+l93weJN+rRgLfizzMOP55 7SWVHyBxOXo8TMxDY4tmg/gHxPu8Z+TV8vGr17VNYaFDQKWdHdUvRMwytp39 5tZPsN9ueuD0/AJcYF3yOfXaMNRsX2IqbV2I0Mq4VXh2BOzfTa7rzH6N9xe4 z9b0GYWct5cOLLN6g4Fxx//dcOIXPJXtWPpxtBgffoguDvcag5piP+uc9lIM OBUpWeI9DkYz7NjbxW+xy1lLydZlAkQXNrU+Fb3DGxPiaU1uv6F0sv9mlm4F 5nbv6JtjNwmlDM/Hc15W4qcVRq1/LGdQXoui6/Trq9B9latu5BMGNd5m3WSq 9hELrA/5b1adQqVOp0bnHK7B9TbiNIVHU6junOA4B6xFj6vb60wWSVERyvOi 3syvwxA36V9TIqUoq94F+xuP1yN/ifOkWGEqJWIeikhu/4zc38FTV4dPpRq1 /7yH5l/wQ/ZWcdjcaVTQqoyYb82N+EbNrTj09jSqsax7gOHVhEGcA4++yU6n Kp2/tO3pakZ79UaHQ2HTKVnej0q74hYce6W7aA1zBlXqsVXQeuMbXpza+e7u pRmU6ubFJt/MW3HBcmPnFQwm9eNs9JFRzTa8cMr6h6wvk7JZM6ZU29+Giw2P lGr6MymvgLYjrkNtmD9xOnZLAJMy8rCu6x9pQ9mwMFO/K0wq1zJDV44hxLj0 ojud15nUidMdT3fPEWKxSH9DaQyTUtgbXFG+WogKrnLnr/HIeH10E7kKkbt6 ya5HAiYV9Gj+Kf9jQnQYWK3Kz2dSOVdvxMw5KcTUK9uLfxQxqVYO12WDtxD/ TAhYcOQ9kyq1+JoRxBKiy9euV1uamNT5blp79UMhMp+Msh1amFRlu+YVTBDi Uw+mo18rk9pnJ/vLKkmIP8fUmVkdTGoBZ4YtK12IbBW7g8v6mFSyStrbeq4Q dVuPrTHpZ1LVGVGbPflCrEk7N2kzyKRa1JIapxcIUdX4VkrEMJMKV/hxaX2p EF8z4v2fjjKp5XbLgt+WC9G99Kl56RiTCplu+sK5QoizInI1hBNMKvWKJWO0 WogvDpYOT04yKXkTOBPxSYj/A35luFQ= "]]}, "Charting`Private`Tag$15136#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV13k4lF0UAHD7qBQJSVGRsadUSsUZUQmfFCEhskRatNlFltJky1Z2leyl KIo+S1k/smVvky2zWN4hMsJ3/DXP75n3nTn3nnvPPXfruSsnHbk4ODh0OTk4 lj//GFxOMb7ippU5/TDJY5CAOw5y8i1kI9jAmXBv2Z/Ghy6Ek21g98UUk2Xn iX5J7012guzTz+bc0ZNFOmEXyZdhiueVz7IlFLrKlrqvgUVVZe9NtKYndWdD sjvQ5zrWLdu2Tisr2s4bgneOK9xAB4pNbbIi34J6rtWbrqPbC00aon8HAHmL Gv0q2qFPJXi2OxA6TGxi3dC/OfnBqjQY2v2jJa4sx6swMFeZfAeGUlp8L6HX n3j/WtY/FBIrxMpc0dme8VeodlQ4ssal0wXdWKc/bEKOgGyj3amO6BcewsZW PFHwdcVLQ3u0x33/5xG/o4Aj5GC3LZq/6LTzVHc0XDCJCDiDbq2trZFtiIF9 283TLNAJfbtkLEpjgatnb+IptCLXmu/vk+OhNF9v23E0S9TnwET4QxCW9Csy QJcpjD7a6v8I1H+1SemhDU98MLljlwgR4iP3KOgr6e4Nx8mpYCvAWaiK3vd6 kBy4Pg2Gq/ylldAcDvKHLHnS4ZbF7itkdINHXFrY73SgvDBI2YS2TLtiSXQ/ gdamSEMSWkuBfI9q/BQ2Fm9I40RLF30tkWl4CsbE9Kf5AQIYtcdEzUozQL3r ReUE2ndcprU0OROWPj1md6JtPfsWTUSzIEpUbkcLWpfrgcpYeBaE8Gw+VI9e LbZI3eyfDTPaXvPv0KmaPYeD7XKBoWldnYSuCgsr+4f8AuqlbYss0OX03qZV OS9grJ8xboR+ryf3vUGpAAbshDkPo89w2XE8FX8J00+NcnagT5XPS2+WegWD hP1KPrS++k7n9QpFsHPEWSznJwF6w91u7heKQFokuCIZfTT2lldnXhFo2lRD FFqX1UiN2f4ajNS/1LijtV44PRfc/Qa8L3jRtNG7yMksEpRAbm/iw9Z+AtQ6 D807BZTAQZHekir0jmAad21VCRhdGCkoRG8fUBcN1n0LVNUUuVi0fGrbXg79 d3DDrEH9FHqTGMnvj2kZGMPU95YfBPDyXSPRLlTA8xVRRVnfCRg95i84lVUB xgbv9sah/wsPW78wVAHKV40TA9F11M8xoaqVUPuZzbZC3xcef5qcUwn1Dc+U hNAi0jLV1SlV4FnQdMrtGwFk7XAe0TsfIWA+X0X8K67/wRj+xIyP0O/4NIET zR+SKLD540foNK0Zpn8hgF6fJaLAUQ3G8g1S/6ILjD9s0/SuBlPZIFFb9D7b WV3HyzXgzUyQSe8j4Ji/XcgbszoQ/nx+z4penJ/IqiOPb9RB8FoZg4keHG/a Vv7w6DooDtLV7URPlv+kOjTj84kL/eno+EW7qHVH6uFLoWytOnrI71zS1T0N IBxxzci6m4AAX/tXKiKNYLym63NcJwElXo7fnrU1w7576W1v2wjI1HLtlmA1 gxFvY0QcOp77alukcAuY2dNUr6Hdw31rvExawL32kpQSWv1xzPN/Olug9Et4 QVIrrqeh/nLvi63Qtkq91KOFgL5VgpHSbm3AH1+yZ9MnAnotXVWveXyGF8lJ ipL1BKw9Gu5URemG+e8/e2b/JUCow7Fw75kv0CM5mbqjkACZLRdzQs79AAGv oJRzmThf3y41akf/hEqlWpn8JFzv7ADDjqRBEEnwPT4VRUDHhmszV54OQq/D 9bpP6JF99umr8gahfarCNBst4HF4+lDpIDgOdRVYo82mViS/6hmEGtY514ZI zBcjmhEhOgRK4ZLrnkVg/r9lUI9FDkG+JnXhUhjm/2/c7uH4Ifi+eNDKAK2x 8e73gFR8Pmtrhzza5rSL2tvnQ5A5xxYcuk9ATqdKH7lpCPQe65adQWs1Fyvw rBiG9/V97ONUApwr6uvLA4fBdp0KyzCUgDkNIend1GFI3SF0fDua+trcJ+fB MBz90FgniM7LGVGJTR8Goy8HV3++S8B4DE+MS/kwaLVtYFiibzhTrEXYw+B8 WGeV2x3M99q3hMvVEYjuhPSXwTjfYUv6PzxHIDPe8EUc+gnf0QzTgBHYopn3 xRv9cb7TDCJH4GZtY+xhNN/IVJnI8xHg2fEw6GsQAWGlqncqRkdArUjZVQid YJ8lIWr7CwqVH25+cJuAiwbiH5Sdf4HKJnNrT7TWrnsuum6/QGg98fEseoDL 9e31gF9AfbZfQBWt/GS7WXv6L0jc1hXWEoD1qv/Ng8ifvyAkLdlVHB1VT9bI ov0Ch4q6I1zocy8f9pcTv0BVcMSQ6U8AKcBLdZxzFHaK3u6rRBtv1vxkKD0K UgdaF13Rg9bV/CvtR+HKyrzQ/24RUHx4z8utrqNQ+DZIugQdqpJprnF9FGbm rGlP0coLdzOdg0aBrJew6Id2TzbQrXs6CsXiJfq70fxf2v2Dh0bBmf+/kBw/ XN8fdOSSmaPQZD2w+Aidn/u6uWh6FGwtlzJD0Se84yUHeWhgdbM22BmduMGy TFuWBgebObwV0SoWP2cWHWkgHlrmVOJLQLIwLN6/RIOofJWaXPTKT8m8G27S 4GinjlEqelTbQmRXMA1ahav6Q9AZSi07zz+hgYhhxQpz9LoRZY3pHBpE/Fxb aYAOTKdSbr+igebhtscU9FnRI8eTKmmgK8/+pYiWWHp/seU7DXo25d/mRN97 J3HDaoQGtmTJ+FkfAv5c9/ShjdGA/3xV1xi6c3QXlXuBBgKr+L71oaPac7P2 bqTDgKIqRwl6KYy/oFqaDot+NM8X6MtHnYpPKNIhlDdJKhNt8H5rjasGHexn dIk4NF/mo4E0czooip4p9kDftJ2hKZ+lgyefe4IbekjClHjnRIfsomO5Luiq SEGOjpt0OKjnc8oKvUP/EsnOjw59G1ZMnkKn8jSuGQ+mQ6VPwdvjaF+vO5L8 sXTYZvasQwfN2DW0LS6JDrrO2+S10Jbj2srST+kwpLkxdx96r/3C/oOFdDgz 26yxHc0yvGHh1kqH8Q+D1I1oO1L72YVuOjw3LzZdj26tUj1P/YHjVfn3n3Xo 5+qMmxnjdAjYWPNpFXoToee3c4YOf7qmTfnR1LzM4PIFOgRvKl7Fi3beci6m R4ABtzbp8y95E9DdV5HoKMIAkDcw+os+Eif5hLWRAa9t91fPoV8f98nxl2GA R8f2C7NomZW9LwWUGPD8LlB+o6Or1d8mqDGA60bQkSk0h39sBXk/AzJC1/oR 6CsarNoibQZo5XIMTaC/Tx1vphxjwEzheZ9xdMTGbhm3Eww4n2CrNIbW0rHx SjvNgBsngkWY6PELw83NdgzgaZpQZ6DToi9uW3RhgCWjIpqONi6d8lK5xgCR oLXyy+YY8G6x8mbAZgvOWRr65Qou2bBABhRvyV9atu3Oe95lVHw/ePuh5eeF Tgu10qMZULPxWfmyqwIeykokMWDCTfnm8v9dy5byOfaUAUuL/Y7L8Ui3Pmv1 zGOAvtqPqOV422eVydlFDNBz1plZHk/g5tc+3WUMiJ5QiJ9Eqx090MZXzYAe UoEbCz14+QNZvYkB/T/HQ6bRsfHHfB07GOCbxts1g9Ytb22L/cqAQBNBu+X5 nx42l6seYkATp7zccn4yVv/wnWIyQDnNVX45f6Z7nNqlfzPgwtoZBy7ML6/1 mNzJBcyn6uDX5Xw75c+3v1zNBD4/U//VaLGOQPl+USb0rRHKXYuunV9xS1CK CWzBFCExtJyBuMLl7Uzg8Et4sBndcy3tVoo6E062Qf42dGgiuaNJiwnFjrLc iuhR2m5/peNMKPHY6LQH/Wjt+w5LcyZE2J+7dgCtp6GjSD3LhCHXU2Xa6JzQ E52jV5jwijefe3m/WL7sURT3ZMIt6mFuM/TKnrMBRwOY4CY8C9boC3KXlTKj mPDYefXVi2iJ478DOh8xIeNFluMNdKO7bxfPYybo/qp+6ItWrqXetn/FBMWb rNfh6DGHrO4t7UzY4LfYWbi8X8O2qxj3MUFaK+7de7TR6zeB/gNM+Dp8+0st +gV3tcp3FhME9tf0fUG7PekPSlo3Bilv/2vgx3rF+rFhh9ipMRA8aRJwGb3F fnb3ZusxaF+7RsQXfXykQ0PecQykNM8P30PnMyN19t/E7xtMtDPRTnO85jZx Y7BXOq//J7pPmOWX2TkGKrNNbQ5Yn/njWwILvo1hnt303dF7Nzy/+3Z4DIri yVzL9T12s/OD/36PAbFLQTUfbaT8PWNcdBxEC5duz6KrDv/XqG42DpEpj6QS 8fyYrM9qBZtxoF3njilASxmGdOo5jcOfzF9Ha9DeJyk/LN3HQeLu9esEevfZ Ytat+HGQjZj7bOi/fL96sqGuaxyYkpGfBJfPxzzv8+bmEyATrK5eh+fpGc7D TZ02E5CyxOwfQJPNBXeaOk0A2elvzSL6PVcG2/jmBJhFOsHeQFwvpz+F68dM AGVagchFA/+W15otEyAyf9ImBc93j8JzHNEyk+CbSWt8EUKA1bc6tRNyk5DP Jve3oQ/xqzgKKU3C0OG8Hb/RAjazDRFqkxBl/fHOQew/nqwIi7mvPQlqag38 zehm2zfkkLOTwF9V6fYX+xWyIP8/nkmTUOEXrnYX+6H8yduZoWmT0Dqof/8N Wq19funR00mgei8qD6EhbqLwXd4kJGvcNziE/ZTFxm7x+TKMT19glhP7L6pc 5pDf10kILlgSjQzHegW6vkGSWDfqGwf6sd+7sbW8M2Yr9iGjQV7iDwhgc+1T zZDFe8GiwhljNKlWaaBaBet6nPdSJXqL4To9Pi2s06EfPz2LJuCkxcC6ezYY V8GlcL9Y7CfcAvIi0gionLo+5/gI/79s8vXppwQ0Jc29fII+y2dXvi0L63iM dt4PNH+ydlvpC9z3O7WdLRNwv9VxzY5g37s/bQOvSSIBi5IhhwDvEdu4etuN kwk43Hivd0KcBYfEtTn907G/lY0hnYhmQWnt5bisHLwvyInvuxTPgmMGnHXz 6HL5FOd7iSzYHud/zDgX97dSVkPVExY4ydtrs9G3dpbdVytiwYpT7xdO5ON9 SnNQUKSDBbsLt78UKsDz0nSXeLfoFLhtObG78TXGEfRZ3jphCtQEhnXUq3C+ C7l3OqVMQa62K3cKOuznLo0rj6cgzOSRMM8HAn5D7LHbOVPgNfZn82d07V/T C8/eTUFh6z+zN6oJcHHvyhvrnQJG+GBSXR3ub5fe7bckpkHVLL4ruxn7aeMf u9OS0LLnX57B+9Y3txCt8DD8Vf2HqjJ/CSjUOL265sEMNIVmK16WZoGYWV1v dsgs9GUH8VfpswAGOB58uPEHwuY2k/3cWZAg5rya7DkHZr0FisG5LAhMdbm7 5wIbzKr+2u//wYKU5ke1EW7z0GfRQi3eNAV+l2MmJa/9hTqKQZueNcZpJy9+ +twCLDQfTRbFcd9foPN8d1qEOVg8MTM8BaXMoxNrLJdArTIpW0dlGrpk9w3s 38ZB+co38kbAfRqcFexVY55xUJbexu1dWz8NVWZnfLSlOCkXOI3Lddb/hl0W 9ByRx5yUA88fZ3Vf+Q0Xg450a27kojjcCXYkqn9DqBM/mzOGixJXViPiITED /0raLdFFuCnsKrEMF68ZeLd4h1sxgpuyt7F5eOLzDDQX6dDD1/JQ7Kh5Tn/2 zkLNFqfasGgeioda2UGO5FkILjn1+OdKXsqNnpl9n9mzYCX91eZMOC+F18bb WcX+D8wXq25UIvFRHIq3niVq/oAvN60p7hYfJXJLROqk3ByIbdOwk+UgUbz3 Gxb6xsyBx2Wz6ZVeJEp+nF8Y/c8cbFJ3qCf7kChvy68WvmLPQeXC1eRDfiTK JvU8huffOVgZHq7rfZtE+Sbf/ZDEwYbUvOpY2j0S5c2+612yJDbUjqrtqU8k Uajkj78cRdkgYi/oHvIe3084u2t6JxveKUrqPy4nUT60rij5dxcbbFiKUv9W kih9VYf/ubuHDdm3j9ROV5MoxBerVxIabDiQ7ifm8IlEcci+bH6IwoZz3xjF h76TKAfcrcTijNhAejZHteknUUavxVSeNWZD/kXSWe8BEkVBhddP8SQbZual SYUjJMr9M0HKlafYQJWwNN86QaKYhJs6Mq3YoDpwXkmTIFFczBvTS2zY0JFz c8liikRxEzo5HmjLBimNB1lRsyTK0ZXeFRsc2PCRI80nf45EEX4upDPsyAbn +vzj9fMkSjXXk56X59kgEFUqM7RAonRUygf4urDhlXn97NISiRKamqah58qG /wHGRWz4 "]]}, "Charting`Private`Tag$15136#2"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, {-1., -0.5, 0., 0.5, 1., 1.5, 2.}}, DisplayFunction -> Identity, PlotRangePadding -> {{0, 0}, {0, 0}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{None, None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, Automatic}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 3}, {-1, 2}}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, {Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]]}, {"-I", "-A"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.770994126486527*^9, 3.7709941433930607`*^9}, { 3.770994195918242*^9, 3.770994215971569*^9}, {3.770994280604782*^9, 3.770994316481057*^9}, 3.7709943495689707`*^9, 3.770994434826562*^9, 3.770995295283023*^9, {3.770995516830917*^9, 3.7709955935933027`*^9}, { 3.7709973920319653`*^9, 3.7709973945904827`*^9}, {3.770997461521933*^9, 3.770997473573735*^9}, {3.7709975855415993`*^9, 3.7709975935624943`*^9}, { 3.770997624620994*^9, 3.770997650862833*^9}, {3.770997693142627*^9, 3.770997701602784*^9}, {3.770997752951508*^9, 3.770997830211933*^9}, { 3.770998505072028*^9, 3.7709985111807013`*^9}, {3.7709985751914997`*^9, 3.77099863301335*^9}, 3.770998687327367*^9, {3.770998736284915*^9, 3.770998752457239*^9}, 3.770999566075974*^9, {3.770999610002269*^9, 3.7709996302669687`*^9}}, CellLabel-> "Out[140]=",ExpressionUUID->"80f2c3aa-fa68-4b72-bf34-6fba0153c91f"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "5"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "-", RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "1"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "]"}], ",", RowBox[{"Evaluate", "[", RowBox[{ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "3"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "-", RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "6"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "None"}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\<-I\>\"", ",", "\"\<-A\>\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.77099544529874*^9, 3.770995460209011*^9}, { 3.7709976010108*^9, 3.770997606694561*^9}, {3.77099860253683*^9, 3.7709986382772207`*^9}, 3.770998694212399*^9, {3.77099874319034*^9, 3.770998757704945*^9}, {3.7709996367644253`*^9, 3.7709996550554256`*^9}}, CellLabel-> "In[142]:=",ExpressionUUID->"d03a7fa2-4303-4809-a0a9-85fbe19fcf16"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.34398, 0.49112, 0.89936], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1nk4lN0bB3BSypJm5nlmKqQhRUha3l5J3ae0KW/biyRtU9lCEiUp7UJF EoqypJQ1EllqbNn3GUtIXkP2bCPLPJPf+f011+c6z7nONeec+/4eVc75Q2dn SUhIaEtKSPz/98V1jvSaM35blNdkNmcl8KCQxzY5zLaD60keLoXYM0VfbrPZ V8D4/pyN/2ErBKa/l226BWV1arr0RB68yH24dA7bB77OvXzQFFtn6MyjGRt/ qJG5FR2H/V3h5R+qMRCaNCPYZBIP1N/IbJgWPQVFzTnlAdgOm90cJ5Y+A6sd RZHsZB584LfHCI3C4drWmsgC7OlzJq0jNhGwxX6g9Mp7HkRKtvpM7IiCe6+5 ikYpPNhe+Xj578ZoSL1W9nhpKg96QnflCe1i4NJqu1ULPvDgwRmx1ZjoNVR/ 4vXT03jAE9kGDS99B1quf5ceSOfBpWIVvaGUOFCZNSB4kMEDxSf88kGjBIjY KVjU+okHHC0k1W+TDJVud4s/ZPNglsijWuj5Hl7kVWwy/MwDfrvZEuGOFDDJ 8Oc2fuGBe4Jc5mhjKuRuNejdlc+DPYE/pUcjP0D6P9H3lQt5oOyeZzpilwbl Ot5as4t4kGt0eXhI9BHeq+y0kS/jwdyWDo3BpZnwKcr1sASPB025n90GejKh 6ezTlw71PIh7E1rQn5IFY74Jxf2NPNjnsu9En1EOyAcOJ6h950GwTFZwtw0X iM3N+i49PEi7vMfl4qJccDaKnePWz4Pwvr8Xj3nmwl0XBz/fXzxwqmHYjO7I AyP3obhBIQ8Y4SWzRhrzQcJje+CTWXwQKaS/czYsgCxJ9Rva0nzovPnqwHBk AUwO/hivl+FDus31l0N2hVAfIX+cQ+eD5br1Br9EXwE0XY5bqPIhqiziQv/S UljtOhObup0PwtCPWj8elAJNbblfgzEfdtqUC+qmSqGN2fVmwX4+DEhNmGXx yqDQJ9Mq7wgf9DfvM/DxrgDDA/Y+qs58qEmmZmkMVYNtbUZKWSQfGCBzfL5u DdA+yn82jOXDphVBBt5namCrhplRQSIfHgnfjXnU1gB17+eD+dl8WP+4/iwn vhb030REP23gg1eZzp41J3gAF/qHbej18DYlY0X8Ux5U9dGOKS2uh7rQbVLL K3jQma1p28GuB3Ubi5xFG/mgLpHOjterhzKpO7oSRD38CGdcW36wHlibWxjV RQ1w5/PzhPdP6yEp2afFQbcZtnj5Xv2g0wB9jL4He041g/XyttWMDQ2gcWnP Fs2gZqhp0t1zAxog0lAuSjDVDActPnn4HmqAwNIH1pZfW0BR7cF+sysNcEng P7LL6jtcclzZ8Km0ASLkym/Td7RDYH1On7lbI9hA7bMBFwG0SsekdAubQCL6 d1aLnwDmnju58qLkNwidrdxaFiOAtdsq2LIK36Ck1FrlXYMAituUrCw1voGm KRV91qATPs0tfHXL8hv02GoktEl2QSK36E53/jewD7z2pSbgJ3Q8Gz2eENYM Tl0rBWlJvTBpn/bc174VZFXvaPzQH4b8NyM5Jqfb4RGtXCvq5BgMO2yevhvZ AZwWU65UxW/Y/i3QK/CvLrjw9Q7nvMY06FqOuck0d0OKs/y/i4zFUHB4i77c qT6IunquT++wBOKXXh2c1hyEWxHUQeGAJPL5+8rJuUVDIMFrRzkeUsif07lC oDUCK1yt3U215qDjju0e5g9GoXM8xFzuszR6XesT11c7Bnu67K8FXpiHrMyG grna47CvM0BbRUUWtd3XNUduv6GvgHOjJFEOjb45ERATPgG69IYlRifmI4VB WwmVikmQhfFTrWMKqMd2iWARbwp2DVpOqJnREGfCT22cNw0vyds8LwsaUhyv WhHdOA3CTfHJrUdpSIgMx01apiHSV2QTzKEhmaKqnrCOaZjWCG+Sccbfd6wS qoxMQwLne+awLw2FG8cIMuaLgNZ0wvNLLg0lpp/aoLFDBE35ZyQtdejotERB jk+CCIa3NiteW01H16tCJ88ki2Bu3v71kWvp6Bw/pmFzqgg2cA1sfurTkeIq P5eeDBEEZdMqXXbQ0Q/5rCl2gQj2p+WE+h2nI+Xl94uWfBNB0WtS73MAHV1+ rnXCQIqCNnVf4/YndPTrhPfjojkUjL+a4UiF0JHa2zOrD8yjQD2676nxCzpy b6t5c3Q+Bbde5orq39GRj7ja9N+FFGwJcSj+lU9HSoLLawq1KPh4v/A4e5yO Dju3LIvcT8HbPeWLvCfp6MicTXTpQxQ8l6+rGxTRkeGnznRbUwpuBPzYmT2L gdbrZaupH6HAJHRa15zGQDz7ddsucijoiNWb8dNmIOuNa+ucXSlQKA6PmDjF QHob2uVbnlIg6fPqyPGzDDTb7toCfggFwj1xxFdbBlKdzfYtfUbBt6oM78Dz DLT/UcuPdy8oiGmoO7/qGgN5e1s3wWsKDH7OQ6dDGcg36+px7gcKrOe4tVdV MdC5RWs3SVRRoLi0tFFUy0Daz+7Qz1VTUKW/pFqznoHqtN9G19VQsMHh6+db LQzU2rFqOIRHgTSPGbahh4GMs7eQoiYKXkemm72UJBA1ttVWTUCBRZbsP+Wz CcS/vNzUopMCef7x7ZNzCTSkS+v27aLAde7cdYcUCBS1xkrc1U3BdqfDNGkl AlUxZlVcHKCgc9NkmeN6Alk7BogGhBSEmpnkP/+bQCu2+NcNjOP9Ox+ZWWxA oDcPt0PvbwrSone/Vd1KoOWLWusbJym4I/Psbv0/BFqn8aLVj6JAf9mg56yD BGqZp7TTWUzBgOFW19WmBHq7P37zwT8UmDr3cnwsCeSha8ObJyEG9caNaLMN gSbtE27skxJD0/DDv+3tCXQsWGbbwtlieCDboRviSKCjSQ99W7GFm32XjFwk UAGnMtFKWgyFMc3TMTcIFN2oobFORgzuX3RHa28T6IpLjFw7tk7Trd4/9wjk /F75go+sGILktJssHhIoZ9bynFo5MZx2ufpR/jmBtGm7QF9BDBvWtn1c+YJA +XJZu4uwZUdR+s5IAj0KKh8+sEAM7y9IZ9x4Q6D6h+6KVjQx3F5jl/HiHYFq Ho4+b8U2HynPyEog0K8tJRlH6GKgnB9/EqYSaA/3TKExQwzVesJP9HQCGSip fcjBjh42z9TNJNBfOzUNdQgxGDsrZ9lyCaR4cYmSJCmG4POx2a3lBCr6kTVz kykGu9WyOVNVBBozyPzwDdtwyCGHVUeg5AKHP6tYYhA4rf18oIlAlxacMa/A Ttd9+tmxhUCyv7o5rIVi8P018dm3jUAB66NmH8PWc/r8pbATr3fFXLodW0qX zf2vm0D/+sSfVV4khobBW9w/fQTK1OyxMMN+l9jFVfqFv8/M/eGL7em4O1d/ hEDz8wemcrD3r4rPNRMSaNvoith+bLXB+XkuE/j82au6WYvF8DvBOc9/mkDX /8nN3IJd6sDLSxATyP1VjMpp7HCdDfmlEiRKdY9i3sF2HgjN/ylF4vtz82UU tlGCKF9qLomUm+iZ2dgsh+MFbFkSdQ4tO1uH3audV7B5Pom+vvKL7sLO6V9W aEkjEaHHvjCO7R9/r/AyQaLzkjk1kopi4JzrLQxikcjqo2GeLPZf2iZfUxaT qEbx9jYa9rz+pK9VyiSKW3vRlIHdGkcv6l9KorV6wt//H0+2dy2at4xEDleG V8pj39JqLFq+gkQusWaDUtjmfRuLt60kUfY9cuskXn9lXHjxCR0SmSxUXd6L TdnNFHuuJlHbA5dnDdjVKzklz9aSaHqf1Mtc7OjewpL0v0g0Z6pmbSz2pXca pTx9Eq23bD3si21s51s6vIlEXm4r59tjK68cLJ0PJPK4yT20E3u4Z3+Z1jYS qfe81VyKHWzLLD+zG++fY/LdInw+dpru5Tf3kujPsRH5p9iGPc3lL/eRSPhP jfpJ7A6byIomUxKpjNdKD+D78VFDqnL8MIms5dbVJmDf7z5byThKotjviTr2 2KtttKtMTpHomFdASDO+f212S88nniFRyL6IiXvYDxwImoItifaEsfetxu69 IDpY7YQ95vPjIr7Poa5Do6tdSNQXPFuJhr3zsuBJgBuJLLpY+97ienjlWV5/ 0JNE9V8Ph1fgejnkxb2U6kWixd83fbLAlrj1YSFxm0Rhr9Uq23F9HfMOO8L3 weOMJ4JOXI8LA899Nw/B5+WvU52D67ko6MT1jOckKhKt52piu4b8u3TRSxI5 hXfFB+D6rw3fdOpbDIkueZ++ZjpfDH6xcl1HU0l0yDqbloD7iUHczN2cjyS6 IKwZn8D9pidhbMWSTBK1XN/eCtg7Ults27gkCh0YSi6YK4aZnPiBk5Uk8pPv uRuG+1kSN+JhXg0+D62TPsW4/1nlP9FV45NItn/8ydAsMWQWX3UWNJPogGds 3jpJMVys2ys820OiibkQ/AD31+7ufpG9FBPVh5F9N3C/Du77EV4uzURXFDuL HHE/3z7I26wjy0S/YF+m+RgFUaPZXoM0JpKkFgqURyg4KvaTclZhInGtua0H zoNqho6c20YmMhIvWn+1A+exo2NvmCETqcxoPkX/UZBUnFScD0w0/xD5YlY7 BY8819yh7WSi1j+Brz2/47z4uUEcf4iJto1ZpO/GeVWWuXWo4xwTJdCdSrZW 4nwkb1fKnGei2sBRVl05BXFOhfF6LkzkOat0yYkyCnyW7bK97s5EB84oHzlf TMHuhyb/Lb7LRPKq72Nt8yj4evIw78BLJroRcDCdm0bB+uzQlMtRTKQlb6Ck jPM2htns/zKGiWTr1pm4peB8KrMyGYhjopIPTxaqJFGwbT3nq3cG/n/dlLtx LAW5cx0zvtQwUeKHU0HzcL5nJ90K05FioZk0vak1Hjh/TcwUQ6RZSNbryvc/ lyk42KvxTFKWhSrVi9eVuOH9X1YZ3EBjoV/f1LccuEAB8Wxh4A0VFjL8sVFi gy0F524n3OdvZCErpZ6RI2YUKFk0uHk6s1BfQFk4fRV+H4y/Ff68yEJH2jhh zvi9kxJ49eLByyzEMfQ3qdCgYFcl+8KK6yz8vpOpvqJGwcVt5xxq/FiIff+K fyJ+L5XrSJxWj2Wh3Yszm65IUnBVUutAxXcWiix0vJ1WJ4Kf2+WaVvzHQvK3 b6rkVIvgwP2BEzc7Waji6vuK3AoRqC9IPr+hn4X0sp/Y5xWJoEJ5vX/kJAsV ebR3RWSJQEV/S5UrsRCR2kff8KJEkO90yGSJ8ULkkasSr+4kAtlWj91OaQtR dK6gqe3PNHS9UQ2K8FyEbN9YaDNZ0xCkuXh2ptlipBnhWm81PQkBz62LT7EV kaLqd9uibxNgGXSsSr5bEZ30Ol8xlvAbJre/nor4ooQSUMllM/NxEHRtc8/3 Vka/uufZWMgKIXrzGqXKU0tQVZKd4eOQUUi860a3WaWC+CXGgZPrR8Db7PRe qXEVVPFHRy7l9RD81Rr1zrtyKfpULaNw8tkAhK4MS6zcy0Y9/MILwRm94JX7 MHRvJhvdsJc/cdT/J/yjZPa6TF0VGarEvOU4CWCrU/FRuo8q0t9brHD3WjtE KHPUK8ZVkfOqVcc++jeDekFs8L6jaohm1Fxed58PAavyteq+qCG2k7Xw2NpK sB6bXVuqtQyx48YVJY1ygZMyyvbxX4YkjjT6WwZHgsOtf6k9j7G9A931r0aA 279pjfJPsFW/Z30sfQH3x90eBQRjF1yd99L6OSRtnBKFvMDeulF1ReQTmMqb aXgTj50gvdZqtzsE1Mk/LCzG5obfdVJ4yn3+ytH2Xim2a8ZwbG4w95VrldHu cuzYwgXdLqHcdFbAdHkVtqD32KXGMG6rJWHLq1+GbuxSdHU4EMXVECw26hBg S/0MMlN8y9VL81CJ6cL+ILcpYuwt1+Buy9TZbjz/lGRMf8U7ronGi/e9fXj8 9YdPD7ziuS7n2CojI3jcseTrUGcS19Pw5lTqGDaLstz/JZl7d34H33V8Gcpt 6uA17X3PDU1+5Tc5uQyh0F1rYHkKN/rGbJusaeySLmvh4xRu/MGz2zwpPN/J bzzuTwo3Ta1oyZY/eH7p/VbOuVTul7EVUzMzeH1/XSXlplTu/wA9PgXl "]]}, Annotation[#, "Charting`Private`Tag$15336#1"]& ], TagBox[ {RGBColor[0.97, 0.606, 0.081], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV13k4Fe0bB3BSaY7onDNzjmR3vLZkKa9Kae6SSFoU5W2TI1myL6moZElC lmTLFkq2ikjIvsUJ2RVFkV1Zk6X8nt9f5/pcM9eZmWfu+/4+I8m2P26+iouL azM3F9f/f+NusteqXgzY88PG8LhaNR2qWiX0T0lYkRuNut5sQ16pKfGWkLhG eqTaj6siC4S9fknp8iLbWkQnlJDjyoLE10j4k97Bw4UKyIo/L95fsQgmzXo7 jf5B/iwQ/3e5M4x04v9VLIYs/RRTX1x6SN7MOjrDRLbRdLWdF48m0x/NzPEj v2rrS5nViiVHlqareZAXL+v3TFkkkGd3mpr9rqJDIneP/7z2Y/LZGsPGMeT9 DaH//OpMIqWN+9d+QR6O0imftUohMVt5/ibkwIt/zs4sPSGdq/Z9LUFuXbIM nxRPI0vu2szEIF+pFVP5mZ1OfiHLVf2QNz1o40xoZZIRHMc9TshsBeAZs3hB Jj/zq9yPvGrpetOsx0tycJvWbkXktj4j0VntbDJgNa8PHflqJl/BdGcOOXDG 5nZ3JR30wgbXTie+IqW7XbeXIItcLTecssoltwWdKk5ALtNym/y5lEcy4gN2 miDzdn+TnRAvIAfy7i42VdChq6zYdXy4gExKY6qnIac/jaocyy4kDbb7at1G PuJ0xGRU6y3Z+0ulfQtyBFYYMWRRSiqfdeq5Wk6HXDc9J+eNZWR9wJMXusix o9uFZjzKyM4dB08JItt9oFtMa5eTHusM/skuowM99t2qqc4K8sKb7pqOUjos CbxOc9hdSQ6U/tGJQx64nXxsMrGSlOROSmQjv7a4Gf/TqorkURf/NFJCh9Pb 1DR+LFWTHp83Xh8tpsPj+gTHMfE6snidZ3tuER1mo/IUegPryN6sw5Fs5AMW nP6WhToy6Xnomg3I4zzzRoWt9aSZhdqoWSEddmge0fD3e08un7Ya+vOGDh9e LK+S/dlEjnoNGM7kofslsfP8Sh/IF2rKaoHIu2TCNfwufiADsuo5LOT7s2kz 15s/kCGRqrJHc+mgFtpuzs5oJmPXdDyJyKHDrXpFPVWTVnJcd8pz5DkdnmXn y2Q8bCVPTCnp2SG3RO3j+ed9K7nX5cbHqSxUvxbGbzfubCP/JswensukQz2P jxIX3k5u61B6NpFOB6ZmN72ppoOUM1SfS3lKh+cv/LttlD6R64113qnF0WGU PhqoZ/qJTBdd9Tk+lg6yV/T2yIV/Ip3p55Z4kRN38z3uX/hEul83NO6MoUNY XeCl09XdZK8mb4Z1FKrX/uApnbOfSXmrOKeLD+iQwMfxpmn3kalbDUPT79LB gmyOHnfqJ8NKv/tkO9CBK+lXYXdAP3l0waph2J4OUatFeupT+smeXTPnxJHf 1V0SS+voJ/F9e07fs6WDnOFykrnGAOlTWtl+yhr1k6Vs5hfu7+Sa8Fd+zWZ0 sA67UfIhZJBkd1A1tE+i+vku35/7fIQ8VmB48tROOlAkfWR7d0ySchxTy4gZ GtynchQeX5gh2cffwM8MGrC7DUt53v8iu1L4Xx7+jwaO1T5se9lFsjB8b3PJ ahpkO6w/sfHgH3Ldv7+jvryiwmP3y6Mqp7ig+s6xpL7TVPBKWDaYHeeGDR8n cZKXClytffD2Og+8aQyyuW+9AWRcLl01VFgDx+uCK9oKBGBgLvIkX/FaUBIs SqcICoDed+sbYY7rwMDorpqENT8cGQjZLCZGgdCi4TaT6vUwWsn2fJfFB36K H/KzVNeDEq1DVMuEH675c1Ymo/mAQs6Z9swIQMAhx/vOTD7QmTg9L2VEhaOr C+3WRFAgnvBuvWVMBWffqHGlcArM7sp40XOGCnd6TX3/C6NA4r0liwg2FZZi o/hy7lNgUTa2C3OgwozAiK+DHwUy2Z8LJu9RYWv3FgHpaxSgdpl4lJRRIV26 6aLNOQp0VVzkPq1Ig8Zb8ZJF8hSY3Ptp0w1lGpRHvfI+LEcB3vKjaolbacB5 mEV8laGAeqmGxeAOGjhbFdbwSVMgvIja4KRNg5AFKW979NxHc99GBZyngdNE kYgjToGaJ4RKcQgNqnKsP7D/YvBF+t7Bvgc0wI7tzhf5g8Fc8gqbJ5KG3uXh 4c4lDKSTRh8ejEPnh0QqHl/AwCu+bKk9jQa7uaOMTs5isCfSpvZHBfp/gf1D caMY5N2tOi8xR4M2HfoP5S4MnulxNvr9poHhDfb8cgcGMetbWiaWaPAtOSiF 046BZ0jvgaJVdBi0SPph24qBftSi0kkqmnN6g+drGjH4lqqyErCZDof7ByNq qzEQqI1NmDdFdTsQfI2ehwG3f/J/583pcPPQ3t+MXAxm9dLxaks6TP75qSH8 CoOPjfl+YagPunbQqZuzMUjpaLHfcoMOu9++xy9kYaAxuA7MUN8VSVUck3iK waU1rn2NjajvZy59W4nCYJN4XedSM+qLV5puesiNO0Sb5NrpIDia8TwiEgN1 m+pir27UxwIjvGoRGKxtZTxSH6bD2aQ+V68HGDxJfG0Uz43DqrW9HLv7GBgX Ug5zVuPA3D/R3hqEwfq28/t/8+Jwd9gtUAPZhZd323EBHFSGDLj5AzHYb3eK ulYYh+hff4Vq/DEY2PW73lYNh8N12738fTGIMtKviNmOw8SFNxEYsr59YkGt Bg5bCs5dCPDBIDdJ95nkXhx+zNAY4d4Y+GDRvu2Hcbhkk00rvI3BDtaExyoD HMLcp3t0kMd373VRNsRB0VjBtNMTA0OHEbb/aRwqLfUjlm6heujcCZoWOPjU p5Ua38SgazJou7U1Di1qS+dnb2AQSPmmFGmLLFdQGIo8q3lPdMoZh/gjQmnN HhhUpXxaTPHEQZmwsbnkjsHVEqXpZm8cqmq2LG5AVuzyGvl7B4d3qY46Rdcx COfb3GUchEPSzQlJQWQzJ/e89TE4jLqd7eu/itZ/65c8+TgcxBeTumORKdPw +kAiDgX/xvidQn7puDbf8yla74LK6WY3DLxVrfLj0nDYWHAnJxT55BQnvzAT B/8+YekTyMsOoW9mc3A4k9gg2n0FgyaV2Te01ziYTds9fYycNHmyQKkAh8Ge sa9WyAcdRAotS3FwPuDotOKKQYR9alEPBwfRECkuEtlKmfJ2oRGHO2yWDI68 +6fNW2YLDnLxdVwjLhj0220tPtaFg/bvhrZo5NdKD4ttu3FYWhfY6IJ878d8 8b0vOLwxf3HDAFnFrrikagBdr7JteQMyj5JE6dchHE7uUmiYcsagY8Kr9O8o DiljASfakdOyvpcK/0DnJ4uHFCJ72OqW7ZjCYTEe836MfHRLRpnRLA69d2wU 7yFLTfCXO83jkGlvFeiC/CvToTx4EYe9H8WTLyDX2bSWZ/7BYf/zLIcjyLGK 6hV1XASkainPaSI7jEdVDPIQqH5KVZSRtTKXKnh4CZjG3VhSyEyb85USFAIE 1tk1MJFHNpdXavITIKZUqMSP/HaMVXWaSsCvIXudNcjBGXeq3HACdFceC644 YcC+PFIVziTg+BPThEXkfzfrV2cLERDlVPJlHnnd2PPqRhECMi7VtP9C7kmn 1YyJEzA05Ovz/+MvrF1q1rEI0KvkHVtA9lLorPlHhgAdRSPsL/LJ0Z21++QJ SHrr2suDri+fHltrokjAaRd7Wz7kZauVWg9lAkILDrwikJvk2e+itxLgbfz3 pThy0kjVu9f/EnDTO/KSIvKVNNm61h0EDLbQ2jSQD1rdq5vcRQBoX17QQxaR n6jjJwnQIhM7ziJPDh+tV9hHwI+AjMsOyBGWDM5FXQKcDsoVxyJbyV3l3D5E ALeB37U85N3DnzjxRwhY+zFyogn5m0Xi+y5DAhzXRC5jqD7yZHka5k4RcPj6 pUh55LtD5g30M+j90NJG9JCVLTY36pui9SzbnhuG/MVK3D7rIgG5xio+b5ED bXCqgCUBZ3J+Gg8jjzguGTTZIa/dRT2A6jnK5ee0shMBAbk3pt2QD7j1Pwhx JcAwaLYrAznZg9Nu4EEAU7QtWwj1y/FbpVdybhHgQvuWfAKZy+uVIO5NwNYs u+hg5HN+j/5r8ydg9or6fX7Uj4Jhlz+fjETv641VlCTq55pwk5v5MQSIepkn XkZ2iTwhvjGegDpV/vR85ObYXaYfUwjQ3n2k3OgaBgGpfN/P5BDQqZ80n4bm h0b6iu/bPALe+QquWY3mzXDmjIxoAQFhZZ9pF5C1c7otv5Si58fWyYmhebXy NmP8QgMBhQt8mjlonj0vTQgq/4DqefToLhE0/85WPFCSaiPAnbJG/S5yQa27 Q/8nArr2KopfQvPSueXQrPkwAas9+nJ3ovk6NDS2ZM3DAGbO3D0SzeuI0d5Y zloGVE0HidQh759o1VSkMADrM042vIPB4+miWxNUBnCtcrnv6IfBmT8BPA5i DFgV2capQHnQRFfkc93JgPO3Z8wrUL7ssbUdebSbAY6el/NMgtH91j6vrSAZ sNjhmv0X+b6Hqg/1AAPCPNWz9oaivBhU/5NxnAEmd1pTulFe1Rfs/fntMgMU 5t8Jm0Sj9SK8GzB7BkS9vjPLjMEg3a4qQ8WJARU3hR0/IPuzdCxvXmVAV4Pj Cd1YDHSD9L8K+TLg+k/ZzEMJGFRfONV6LJ4BZds7pROfYKBWFJXt9pgBYwvs aUeUtymMT8HxKQxYYg7+p52K8qn+rP54OgNEZNRnJ59hsE+NXe2Xj54v8LbW mUwMynht80s+oPuTacpzR/le9NzrkSIPEzyfWPAMVaD81TfaFLmWCe6gFcpV hYHBiGw0N4UJMbYig8Jo/zDEaojooDIBezDRd6oWAzxaMMxTjAlsav/KAAeD y96Zd9t2MuH4NB/vCbQ/ETbucPVwYEJAfoyq2wjaH8w9mx10ZkJbyJGcWrTf yQ5zdzZwY0KT6ZuPQuMY6DRIOMrcZMLWM+4bK3+g97/vss2HACZM7tLaIY/2 SxxFLjPpVCacdU7GtVYwcOdWOPb+MxNeih4secKkwOB+vi6Zr0y4vqd0UnIj BY7dHTe5PcCETRWp0QlCFJDe8MJefYwJllKv9RJEKPBeRC048TcT4io28L+U ooDYjj2NLrggXLFuUWQqU6DC7ri+6EFBqExwSJ/QpQCl57quXa4gvBC//yDE kwLfn0qGJ3hshPeZJ6znZtH+UU5odYGRENi81H7Y7MUHITGXak0lNoGzfShH BF8Pp8PPNa4f2gTH4J3QnbT18Hv/k4WEEmFI7xXe327ID/3f912t8BMBLND9 fesiPyRpqgo3mIpCNPpg2J4rAFm+rjSLLWIQIdz92tt8A/gZmR3imRMDmQsx Xw7yUeHfnsdpfg3igNXs+dtqQ4Uo+UdZDYckwMy8VpW/jgq3yoKiDhVIwEsn sXBCiQaHhY2e1EtLwg6PsfRtYTTYa1d7huYvCdFM2fNHJ2mQIMKWfj8nCfJb tqSvPoW+7ypTI46ckYKmM/tanfLpELKlQqGlRAqC35+l2jLRvmhmdXOdAgte HJebH7qBAzt7WsI/mAVHDPr0WlEO23idWNYLZcE1W79anz4cXE/kdq5/wIJe KW099W9oHzfnej8kggWaPvOm0d9xeL5zYSkyjgWlNV8+mozjsFC+0vE0gwVG N2eGJxZwCGlZH1RVi47H+toJMAiISba1vFPHApf8ydQylHPJLo1auhwWpFZt GHLaSMBrZsgip5EF/SPnrnQKE9BzGrdsbWdBsNpwV6IUAbL9Qlrf+lnA+14+ Q02FAJXc62Ip31lgIXhlz5AqARq+3QvmQyyoWKXbGb2NAH3ZuJcjoyw4ZOEo tKKOcuayhNjUFAs+hQT01mkS4LH79kLODAsUf+fFe6Cc8uX/1uYyxwKzgKNm yntR7r5IDvj9mwWmYtXL4ftRbnqutihcZIFk5KNmnQMohw3M93kss+DNlo6M RR00V6VqRPf8ZYEsyykg6yABJTMyCysrLNhTaONwAeXa/wAZMjSS "]]}, Annotation[#, "Charting`Private`Tag$15336#2"]& ]}, {}, {}}, InsetBox[ TemplateBox[{"\"-I\"","\"-A\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.34398, 0.49112, 0.89936], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.22932000000000002`, 0.32741333333333333`, 0.5995733333333334], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.34398`", ",", "0.49112`", ",", "0.89936`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.34398, 0.49112, 0.89936]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.34398, 0.49112, 0.89936], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.97, 0.606, 0.081], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.6466666666666667, 0.404, 0.054000000000000006`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.97`", ",", "0.606`", ",", "0.081`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.97, 0.606, 0.081]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.97, 0.606, 0.081], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{None, None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {4., FormBox["4", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {6., FormBox["6", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {4., FormBox["4", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {6., FormBox["6", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {8., FormBox["8", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, {-2., 0., 2., 4., 6.}}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {-2, 6}}, PlotRangeClipping->True, PlotRangePadding->{{0, 0}, {0, 0}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1nk4lN0bB3BSypJm5nlmKqQhRUha3l5J3ae0KW/biyRtU9lCEiUp7UJF EoqypJQ1EllqbNn3GUtIXkP2bCPLPJPf+f011+c6z7nONeec+/4eVc75Q2dn SUhIaEtKSPz/98V1jvSaM35blNdkNmcl8KCQxzY5zLaD60keLoXYM0VfbrPZ V8D4/pyN/2ErBKa/l226BWV1arr0RB68yH24dA7bB77OvXzQFFtn6MyjGRt/ qJG5FR2H/V3h5R+qMRCaNCPYZBIP1N/IbJgWPQVFzTnlAdgOm90cJ5Y+A6sd RZHsZB584LfHCI3C4drWmsgC7OlzJq0jNhGwxX6g9Mp7HkRKtvpM7IiCe6+5 ikYpPNhe+Xj578ZoSL1W9nhpKg96QnflCe1i4NJqu1ULPvDgwRmx1ZjoNVR/ 4vXT03jAE9kGDS99B1quf5ceSOfBpWIVvaGUOFCZNSB4kMEDxSf88kGjBIjY KVjU+okHHC0k1W+TDJVud4s/ZPNglsijWuj5Hl7kVWwy/MwDfrvZEuGOFDDJ 8Oc2fuGBe4Jc5mhjKuRuNejdlc+DPYE/pUcjP0D6P9H3lQt5oOyeZzpilwbl Ot5as4t4kGt0eXhI9BHeq+y0kS/jwdyWDo3BpZnwKcr1sASPB025n90GejKh 6ezTlw71PIh7E1rQn5IFY74Jxf2NPNjnsu9En1EOyAcOJ6h950GwTFZwtw0X iM3N+i49PEi7vMfl4qJccDaKnePWz4Pwvr8Xj3nmwl0XBz/fXzxwqmHYjO7I AyP3obhBIQ8Y4SWzRhrzQcJje+CTWXwQKaS/czYsgCxJ9Rva0nzovPnqwHBk AUwO/hivl+FDus31l0N2hVAfIX+cQ+eD5br1Br9EXwE0XY5bqPIhqiziQv/S UljtOhObup0PwtCPWj8elAJNbblfgzEfdtqUC+qmSqGN2fVmwX4+DEhNmGXx yqDQJ9Mq7wgf9DfvM/DxrgDDA/Y+qs58qEmmZmkMVYNtbUZKWSQfGCBzfL5u DdA+yn82jOXDphVBBt5namCrhplRQSIfHgnfjXnU1gB17+eD+dl8WP+4/iwn vhb030REP23gg1eZzp41J3gAF/qHbej18DYlY0X8Ux5U9dGOKS2uh7rQbVLL K3jQma1p28GuB3Ubi5xFG/mgLpHOjterhzKpO7oSRD38CGdcW36wHlibWxjV RQ1w5/PzhPdP6yEp2afFQbcZtnj5Xv2g0wB9jL4He041g/XyttWMDQ2gcWnP Fs2gZqhp0t1zAxog0lAuSjDVDActPnn4HmqAwNIH1pZfW0BR7cF+sysNcEng P7LL6jtcclzZ8Km0ASLkym/Td7RDYH1On7lbI9hA7bMBFwG0SsekdAubQCL6 d1aLnwDmnju58qLkNwidrdxaFiOAtdsq2LIK36Ck1FrlXYMAituUrCw1voGm KRV91qATPs0tfHXL8hv02GoktEl2QSK36E53/jewD7z2pSbgJ3Q8Gz2eENYM Tl0rBWlJvTBpn/bc174VZFXvaPzQH4b8NyM5Jqfb4RGtXCvq5BgMO2yevhvZ AZwWU65UxW/Y/i3QK/CvLrjw9Q7nvMY06FqOuck0d0OKs/y/i4zFUHB4i77c qT6IunquT++wBOKXXh2c1hyEWxHUQeGAJPL5+8rJuUVDIMFrRzkeUsif07lC oDUCK1yt3U215qDjju0e5g9GoXM8xFzuszR6XesT11c7Bnu67K8FXpiHrMyG grna47CvM0BbRUUWtd3XNUduv6GvgHOjJFEOjb45ERATPgG69IYlRifmI4VB WwmVikmQhfFTrWMKqMd2iWARbwp2DVpOqJnREGfCT22cNw0vyds8LwsaUhyv WhHdOA3CTfHJrUdpSIgMx01apiHSV2QTzKEhmaKqnrCOaZjWCG+Sccbfd6wS qoxMQwLne+awLw2FG8cIMuaLgNZ0wvNLLg0lpp/aoLFDBE35ZyQtdejotERB jk+CCIa3NiteW01H16tCJ88ki2Bu3v71kWvp6Bw/pmFzqgg2cA1sfurTkeIq P5eeDBEEZdMqXXbQ0Q/5rCl2gQj2p+WE+h2nI+Xl94uWfBNB0WtS73MAHV1+ rnXCQIqCNnVf4/YndPTrhPfjojkUjL+a4UiF0JHa2zOrD8yjQD2676nxCzpy b6t5c3Q+Bbde5orq39GRj7ja9N+FFGwJcSj+lU9HSoLLawq1KPh4v/A4e5yO Dju3LIvcT8HbPeWLvCfp6MicTXTpQxQ8l6+rGxTRkeGnznRbUwpuBPzYmT2L gdbrZaupH6HAJHRa15zGQDz7ddsucijoiNWb8dNmIOuNa+ucXSlQKA6PmDjF QHob2uVbnlIg6fPqyPGzDDTb7toCfggFwj1xxFdbBlKdzfYtfUbBt6oM78Dz DLT/UcuPdy8oiGmoO7/qGgN5e1s3wWsKDH7OQ6dDGcg36+px7gcKrOe4tVdV MdC5RWs3SVRRoLi0tFFUy0Daz+7Qz1VTUKW/pFqznoHqtN9G19VQsMHh6+db LQzU2rFqOIRHgTSPGbahh4GMs7eQoiYKXkemm72UJBA1ttVWTUCBRZbsP+Wz CcS/vNzUopMCef7x7ZNzCTSkS+v27aLAde7cdYcUCBS1xkrc1U3BdqfDNGkl AlUxZlVcHKCgc9NkmeN6Alk7BogGhBSEmpnkP/+bQCu2+NcNjOP9Ox+ZWWxA oDcPt0PvbwrSone/Vd1KoOWLWusbJym4I/Psbv0/BFqn8aLVj6JAf9mg56yD BGqZp7TTWUzBgOFW19WmBHq7P37zwT8UmDr3cnwsCeSha8ObJyEG9caNaLMN gSbtE27skxJD0/DDv+3tCXQsWGbbwtlieCDboRviSKCjSQ99W7GFm32XjFwk UAGnMtFKWgyFMc3TMTcIFN2oobFORgzuX3RHa28T6IpLjFw7tk7Trd4/9wjk /F75go+sGILktJssHhIoZ9bynFo5MZx2ufpR/jmBtGm7QF9BDBvWtn1c+YJA +XJZu4uwZUdR+s5IAj0KKh8+sEAM7y9IZ9x4Q6D6h+6KVjQx3F5jl/HiHYFq Ho4+b8U2HynPyEog0K8tJRlH6GKgnB9/EqYSaA/3TKExQwzVesJP9HQCGSip fcjBjh42z9TNJNBfOzUNdQgxGDsrZ9lyCaR4cYmSJCmG4POx2a3lBCr6kTVz kykGu9WyOVNVBBozyPzwDdtwyCGHVUeg5AKHP6tYYhA4rf18oIlAlxacMa/A Ttd9+tmxhUCyv7o5rIVi8P018dm3jUAB66NmH8PWc/r8pbATr3fFXLodW0qX zf2vm0D/+sSfVV4khobBW9w/fQTK1OyxMMN+l9jFVfqFv8/M/eGL7em4O1d/ hEDz8wemcrD3r4rPNRMSaNvoith+bLXB+XkuE/j82au6WYvF8DvBOc9/mkDX /8nN3IJd6sDLSxATyP1VjMpp7HCdDfmlEiRKdY9i3sF2HgjN/ylF4vtz82UU tlGCKF9qLomUm+iZ2dgsh+MFbFkSdQ4tO1uH3audV7B5Pom+vvKL7sLO6V9W aEkjEaHHvjCO7R9/r/AyQaLzkjk1kopi4JzrLQxikcjqo2GeLPZf2iZfUxaT qEbx9jYa9rz+pK9VyiSKW3vRlIHdGkcv6l9KorV6wt//H0+2dy2at4xEDleG V8pj39JqLFq+gkQusWaDUtjmfRuLt60kUfY9cuskXn9lXHjxCR0SmSxUXd6L TdnNFHuuJlHbA5dnDdjVKzklz9aSaHqf1Mtc7OjewpL0v0g0Z6pmbSz2pXca pTx9Eq23bD3si21s51s6vIlEXm4r59tjK68cLJ0PJPK4yT20E3u4Z3+Z1jYS qfe81VyKHWzLLD+zG++fY/LdInw+dpru5Tf3kujPsRH5p9iGPc3lL/eRSPhP jfpJ7A6byIomUxKpjNdKD+D78VFDqnL8MIms5dbVJmDf7z5byThKotjviTr2 2KtttKtMTpHomFdASDO+f212S88nniFRyL6IiXvYDxwImoItifaEsfetxu69 IDpY7YQ95vPjIr7Poa5Do6tdSNQXPFuJhr3zsuBJgBuJLLpY+97ienjlWV5/ 0JNE9V8Ph1fgejnkxb2U6kWixd83fbLAlrj1YSFxm0Rhr9Uq23F9HfMOO8L3 weOMJ4JOXI8LA899Nw/B5+WvU52D67ko6MT1jOckKhKt52piu4b8u3TRSxI5 hXfFB+D6rw3fdOpbDIkueZ++ZjpfDH6xcl1HU0l0yDqbloD7iUHczN2cjyS6 IKwZn8D9pidhbMWSTBK1XN/eCtg7Ults27gkCh0YSi6YK4aZnPiBk5Uk8pPv uRuG+1kSN+JhXg0+D62TPsW4/1nlP9FV45NItn/8ydAsMWQWX3UWNJPogGds 3jpJMVys2ys820OiibkQ/AD31+7ufpG9FBPVh5F9N3C/Du77EV4uzURXFDuL HHE/3z7I26wjy0S/YF+m+RgFUaPZXoM0JpKkFgqURyg4KvaTclZhInGtua0H zoNqho6c20YmMhIvWn+1A+exo2NvmCETqcxoPkX/UZBUnFScD0w0/xD5YlY7 BY8819yh7WSi1j+Brz2/47z4uUEcf4iJto1ZpO/GeVWWuXWo4xwTJdCdSrZW 4nwkb1fKnGei2sBRVl05BXFOhfF6LkzkOat0yYkyCnyW7bK97s5EB84oHzlf TMHuhyb/Lb7LRPKq72Nt8yj4evIw78BLJroRcDCdm0bB+uzQlMtRTKQlb6Ck jPM2htns/zKGiWTr1pm4peB8KrMyGYhjopIPTxaqJFGwbT3nq3cG/n/dlLtx LAW5cx0zvtQwUeKHU0HzcL5nJ90K05FioZk0vak1Hjh/TcwUQ6RZSNbryvc/ lyk42KvxTFKWhSrVi9eVuOH9X1YZ3EBjoV/f1LccuEAB8Wxh4A0VFjL8sVFi gy0F524n3OdvZCErpZ6RI2YUKFk0uHk6s1BfQFk4fRV+H4y/Ff68yEJH2jhh zvi9kxJ49eLByyzEMfQ3qdCgYFcl+8KK6yz8vpOpvqJGwcVt5xxq/FiIff+K fyJ+L5XrSJxWj2Wh3Yszm65IUnBVUutAxXcWiix0vJ1WJ4Kf2+WaVvzHQvK3 b6rkVIvgwP2BEzc7Waji6vuK3AoRqC9IPr+hn4X0sp/Y5xWJoEJ5vX/kJAsV ebR3RWSJQEV/S5UrsRCR2kff8KJEkO90yGSJ8ULkkasSr+4kAtlWj91OaQtR dK6gqe3PNHS9UQ2K8FyEbN9YaDNZ0xCkuXh2ptlipBnhWm81PQkBz62LT7EV kaLqd9uibxNgGXSsSr5bEZ30Ol8xlvAbJre/nor4ooQSUMllM/NxEHRtc8/3 Vka/uufZWMgKIXrzGqXKU0tQVZKd4eOQUUi860a3WaWC+CXGgZPrR8Db7PRe qXEVVPFHRy7l9RD81Rr1zrtyKfpULaNw8tkAhK4MS6zcy0Y9/MILwRm94JX7 MHRvJhvdsJc/cdT/J/yjZPa6TF0VGarEvOU4CWCrU/FRuo8q0t9brHD3WjtE KHPUK8ZVkfOqVcc++jeDekFs8L6jaohm1Fxed58PAavyteq+qCG2k7Xw2NpK sB6bXVuqtQyx48YVJY1ygZMyyvbxX4YkjjT6WwZHgsOtf6k9j7G9A931r0aA 279pjfJPsFW/Z30sfQH3x90eBQRjF1yd99L6OSRtnBKFvMDeulF1ReQTmMqb aXgTj50gvdZqtzsE1Mk/LCzG5obfdVJ4yn3+ytH2Xim2a8ZwbG4w95VrldHu cuzYwgXdLqHcdFbAdHkVtqD32KXGMG6rJWHLq1+GbuxSdHU4EMXVECw26hBg S/0MMlN8y9VL81CJ6cL+ILcpYuwt1+Buy9TZbjz/lGRMf8U7ronGi/e9fXj8 9YdPD7ziuS7n2CojI3jcseTrUGcS19Pw5lTqGDaLstz/JZl7d34H33V8Gcpt 6uA17X3PDU1+5Tc5uQyh0F1rYHkKN/rGbJusaeySLmvh4xRu/MGz2zwpPN/J bzzuTwo3Ta1oyZY/eH7p/VbOuVTul7EVUzMzeH1/XSXlplTu/wA9PgXl "]]}, "Charting`Private`Tag$15336#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV13k4Fe0bB3BSaY7onDNzjmR3vLZkKa9Kae6SSFoU5W2TI1myL6moZElC lmTLFkq2ikjIvsUJ2RVFkV1Zk6X8nt9f5/pcM9eZmWfu+/4+I8m2P26+iouL azM3F9f/f+NusteqXgzY88PG8LhaNR2qWiX0T0lYkRuNut5sQ16pKfGWkLhG eqTaj6siC4S9fknp8iLbWkQnlJDjyoLE10j4k97Bw4UKyIo/L95fsQgmzXo7 jf5B/iwQ/3e5M4x04v9VLIYs/RRTX1x6SN7MOjrDRLbRdLWdF48m0x/NzPEj v2rrS5nViiVHlqareZAXL+v3TFkkkGd3mpr9rqJDIneP/7z2Y/LZGsPGMeT9 DaH//OpMIqWN+9d+QR6O0imftUohMVt5/ibkwIt/zs4sPSGdq/Z9LUFuXbIM nxRPI0vu2szEIF+pFVP5mZ1OfiHLVf2QNz1o40xoZZIRHMc9TshsBeAZs3hB Jj/zq9yPvGrpetOsx0tycJvWbkXktj4j0VntbDJgNa8PHflqJl/BdGcOOXDG 5nZ3JR30wgbXTie+IqW7XbeXIItcLTecssoltwWdKk5ALtNym/y5lEcy4gN2 miDzdn+TnRAvIAfy7i42VdChq6zYdXy4gExKY6qnIac/jaocyy4kDbb7at1G PuJ0xGRU6y3Z+0ulfQtyBFYYMWRRSiqfdeq5Wk6HXDc9J+eNZWR9wJMXusix o9uFZjzKyM4dB08JItt9oFtMa5eTHusM/skuowM99t2qqc4K8sKb7pqOUjos CbxOc9hdSQ6U/tGJQx64nXxsMrGSlOROSmQjv7a4Gf/TqorkURf/NFJCh9Pb 1DR+LFWTHp83Xh8tpsPj+gTHMfE6snidZ3tuER1mo/IUegPryN6sw5Fs5AMW nP6WhToy6Xnomg3I4zzzRoWt9aSZhdqoWSEddmge0fD3e08un7Ya+vOGDh9e LK+S/dlEjnoNGM7kofslsfP8Sh/IF2rKaoHIu2TCNfwufiADsuo5LOT7s2kz 15s/kCGRqrJHc+mgFtpuzs5oJmPXdDyJyKHDrXpFPVWTVnJcd8pz5DkdnmXn y2Q8bCVPTCnp2SG3RO3j+ed9K7nX5cbHqSxUvxbGbzfubCP/JswensukQz2P jxIX3k5u61B6NpFOB6ZmN72ppoOUM1SfS3lKh+cv/LttlD6R64113qnF0WGU PhqoZ/qJTBdd9Tk+lg6yV/T2yIV/Ip3p55Z4kRN38z3uX/hEul83NO6MoUNY XeCl09XdZK8mb4Z1FKrX/uApnbOfSXmrOKeLD+iQwMfxpmn3kalbDUPT79LB gmyOHnfqJ8NKv/tkO9CBK+lXYXdAP3l0waph2J4OUatFeupT+smeXTPnxJHf 1V0SS+voJ/F9e07fs6WDnOFykrnGAOlTWtl+yhr1k6Vs5hfu7+Sa8Fd+zWZ0 sA67UfIhZJBkd1A1tE+i+vku35/7fIQ8VmB48tROOlAkfWR7d0ySchxTy4gZ GtynchQeX5gh2cffwM8MGrC7DUt53v8iu1L4Xx7+jwaO1T5se9lFsjB8b3PJ ahpkO6w/sfHgH3Ldv7+jvryiwmP3y6Mqp7ig+s6xpL7TVPBKWDaYHeeGDR8n cZKXClytffD2Og+8aQyyuW+9AWRcLl01VFgDx+uCK9oKBGBgLvIkX/FaUBIs SqcICoDed+sbYY7rwMDorpqENT8cGQjZLCZGgdCi4TaT6vUwWsn2fJfFB36K H/KzVNeDEq1DVMuEH675c1Ymo/mAQs6Z9swIQMAhx/vOTD7QmTg9L2VEhaOr C+3WRFAgnvBuvWVMBWffqHGlcArM7sp40XOGCnd6TX3/C6NA4r0liwg2FZZi o/hy7lNgUTa2C3OgwozAiK+DHwUy2Z8LJu9RYWv3FgHpaxSgdpl4lJRRIV26 6aLNOQp0VVzkPq1Ig8Zb8ZJF8hSY3Ptp0w1lGpRHvfI+LEcB3vKjaolbacB5 mEV8laGAeqmGxeAOGjhbFdbwSVMgvIja4KRNg5AFKW979NxHc99GBZyngdNE kYgjToGaJ4RKcQgNqnKsP7D/YvBF+t7Bvgc0wI7tzhf5g8Fc8gqbJ5KG3uXh 4c4lDKSTRh8ejEPnh0QqHl/AwCu+bKk9jQa7uaOMTs5isCfSpvZHBfp/gf1D caMY5N2tOi8xR4M2HfoP5S4MnulxNvr9poHhDfb8cgcGMetbWiaWaPAtOSiF 046BZ0jvgaJVdBi0SPph24qBftSi0kkqmnN6g+drGjH4lqqyErCZDof7ByNq qzEQqI1NmDdFdTsQfI2ehwG3f/J/583pcPPQ3t+MXAxm9dLxaks6TP75qSH8 CoOPjfl+YagPunbQqZuzMUjpaLHfcoMOu9++xy9kYaAxuA7MUN8VSVUck3iK waU1rn2NjajvZy59W4nCYJN4XedSM+qLV5puesiNO0Sb5NrpIDia8TwiEgN1 m+pir27UxwIjvGoRGKxtZTxSH6bD2aQ+V68HGDxJfG0Uz43DqrW9HLv7GBgX Ug5zVuPA3D/R3hqEwfq28/t/8+Jwd9gtUAPZhZd323EBHFSGDLj5AzHYb3eK ulYYh+hff4Vq/DEY2PW73lYNh8N12738fTGIMtKviNmOw8SFNxEYsr59YkGt Bg5bCs5dCPDBIDdJ95nkXhx+zNAY4d4Y+GDRvu2Hcbhkk00rvI3BDtaExyoD HMLcp3t0kMd373VRNsRB0VjBtNMTA0OHEbb/aRwqLfUjlm6heujcCZoWOPjU p5Ua38SgazJou7U1Di1qS+dnb2AQSPmmFGmLLFdQGIo8q3lPdMoZh/gjQmnN HhhUpXxaTPHEQZmwsbnkjsHVEqXpZm8cqmq2LG5AVuzyGvl7B4d3qY46Rdcx COfb3GUchEPSzQlJQWQzJ/e89TE4jLqd7eu/itZ/65c8+TgcxBeTumORKdPw +kAiDgX/xvidQn7puDbf8yla74LK6WY3DLxVrfLj0nDYWHAnJxT55BQnvzAT B/8+YekTyMsOoW9mc3A4k9gg2n0FgyaV2Te01ziYTds9fYycNHmyQKkAh8Ge sa9WyAcdRAotS3FwPuDotOKKQYR9alEPBwfRECkuEtlKmfJ2oRGHO2yWDI68 +6fNW2YLDnLxdVwjLhj0220tPtaFg/bvhrZo5NdKD4ttu3FYWhfY6IJ878d8 8b0vOLwxf3HDAFnFrrikagBdr7JteQMyj5JE6dchHE7uUmiYcsagY8Kr9O8o DiljASfakdOyvpcK/0DnJ4uHFCJ72OqW7ZjCYTEe836MfHRLRpnRLA69d2wU 7yFLTfCXO83jkGlvFeiC/CvToTx4EYe9H8WTLyDX2bSWZ/7BYf/zLIcjyLGK 6hV1XASkainPaSI7jEdVDPIQqH5KVZSRtTKXKnh4CZjG3VhSyEyb85USFAIE 1tk1MJFHNpdXavITIKZUqMSP/HaMVXWaSsCvIXudNcjBGXeq3HACdFceC644 YcC+PFIVziTg+BPThEXkfzfrV2cLERDlVPJlHnnd2PPqRhECMi7VtP9C7kmn 1YyJEzA05Ovz/+MvrF1q1rEI0KvkHVtA9lLorPlHhgAdRSPsL/LJ0Z21++QJ SHrr2suDri+fHltrokjAaRd7Wz7kZauVWg9lAkILDrwikJvk2e+itxLgbfz3 pThy0kjVu9f/EnDTO/KSIvKVNNm61h0EDLbQ2jSQD1rdq5vcRQBoX17QQxaR n6jjJwnQIhM7ziJPDh+tV9hHwI+AjMsOyBGWDM5FXQKcDsoVxyJbyV3l3D5E ALeB37U85N3DnzjxRwhY+zFyogn5m0Xi+y5DAhzXRC5jqD7yZHka5k4RcPj6 pUh55LtD5g30M+j90NJG9JCVLTY36pui9SzbnhuG/MVK3D7rIgG5xio+b5ED bXCqgCUBZ3J+Gg8jjzguGTTZIa/dRT2A6jnK5ee0shMBAbk3pt2QD7j1Pwhx JcAwaLYrAznZg9Nu4EEAU7QtWwj1y/FbpVdybhHgQvuWfAKZy+uVIO5NwNYs u+hg5HN+j/5r8ydg9or6fX7Uj4Jhlz+fjETv641VlCTq55pwk5v5MQSIepkn XkZ2iTwhvjGegDpV/vR85ObYXaYfUwjQ3n2k3OgaBgGpfN/P5BDQqZ80n4bm h0b6iu/bPALe+QquWY3mzXDmjIxoAQFhZZ9pF5C1c7otv5Si58fWyYmhebXy NmP8QgMBhQt8mjlonj0vTQgq/4DqefToLhE0/85WPFCSaiPAnbJG/S5yQa27 Q/8nArr2KopfQvPSueXQrPkwAas9+nJ3ovk6NDS2ZM3DAGbO3D0SzeuI0d5Y zloGVE0HidQh759o1VSkMADrM042vIPB4+miWxNUBnCtcrnv6IfBmT8BPA5i DFgV2capQHnQRFfkc93JgPO3Z8wrUL7ssbUdebSbAY6el/NMgtH91j6vrSAZ sNjhmv0X+b6Hqg/1AAPCPNWz9oaivBhU/5NxnAEmd1pTulFe1Rfs/fntMgMU 5t8Jm0Sj9SK8GzB7BkS9vjPLjMEg3a4qQ8WJARU3hR0/IPuzdCxvXmVAV4Pj Cd1YDHSD9L8K+TLg+k/ZzEMJGFRfONV6LJ4BZds7pROfYKBWFJXt9pgBYwvs aUeUtymMT8HxKQxYYg7+p52K8qn+rP54OgNEZNRnJ59hsE+NXe2Xj54v8LbW mUwMynht80s+oPuTacpzR/le9NzrkSIPEzyfWPAMVaD81TfaFLmWCe6gFcpV hYHBiGw0N4UJMbYig8Jo/zDEaojooDIBezDRd6oWAzxaMMxTjAlsav/KAAeD y96Zd9t2MuH4NB/vCbQ/ETbucPVwYEJAfoyq2wjaH8w9mx10ZkJbyJGcWrTf yQ5zdzZwY0KT6ZuPQuMY6DRIOMrcZMLWM+4bK3+g97/vss2HACZM7tLaIY/2 SxxFLjPpVCacdU7GtVYwcOdWOPb+MxNeih4secKkwOB+vi6Zr0y4vqd0UnIj BY7dHTe5PcCETRWp0QlCFJDe8MJefYwJllKv9RJEKPBeRC048TcT4io28L+U ooDYjj2NLrggXLFuUWQqU6DC7ri+6EFBqExwSJ/QpQCl57quXa4gvBC//yDE kwLfn0qGJ3hshPeZJ6znZtH+UU5odYGRENi81H7Y7MUHITGXak0lNoGzfShH BF8Pp8PPNa4f2gTH4J3QnbT18Hv/k4WEEmFI7xXe327ID/3f912t8BMBLND9 fesiPyRpqgo3mIpCNPpg2J4rAFm+rjSLLWIQIdz92tt8A/gZmR3imRMDmQsx Xw7yUeHfnsdpfg3igNXs+dtqQ4Uo+UdZDYckwMy8VpW/jgq3yoKiDhVIwEsn sXBCiQaHhY2e1EtLwg6PsfRtYTTYa1d7huYvCdFM2fNHJ2mQIMKWfj8nCfJb tqSvPoW+7ypTI46ckYKmM/tanfLpELKlQqGlRAqC35+l2jLRvmhmdXOdAgte HJebH7qBAzt7WsI/mAVHDPr0WlEO23idWNYLZcE1W79anz4cXE/kdq5/wIJe KW099W9oHzfnej8kggWaPvOm0d9xeL5zYSkyjgWlNV8+mozjsFC+0vE0gwVG N2eGJxZwCGlZH1RVi47H+toJMAiISba1vFPHApf8ydQylHPJLo1auhwWpFZt GHLaSMBrZsgip5EF/SPnrnQKE9BzGrdsbWdBsNpwV6IUAbL9Qlrf+lnA+14+ Q02FAJXc62Ip31lgIXhlz5AqARq+3QvmQyyoWKXbGb2NAH3ZuJcjoyw4ZOEo tKKOcuayhNjUFAs+hQT01mkS4LH79kLODAsUf+fFe6Cc8uX/1uYyxwKzgKNm yntR7r5IDvj9mwWmYtXL4ftRbnqutihcZIFk5KNmnQMohw3M93kss+DNlo6M RR00V6VqRPf8ZYEsyykg6yABJTMyCysrLNhTaONwAeXa/wAZMjSS "]]}, "Charting`Private`Tag$15336#2"]}}, {}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, {-2., 0., 2., 4., 6.}}, DisplayFunction -> Identity, PlotRangePadding -> {{0, 0}, {0, 0}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{None, None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, Automatic}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 10}, {-2, 6}}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, {Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.34398, 0.49112, 0.89936], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.97, 0.606, 0.081], CapForm["Butt"], AbsoluteThickness[3]]}, {"-I", "-A"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{ 3.7709976073627453`*^9, {3.770998603070098*^9, 3.77099863871589*^9}, 3.770998694848795*^9, {3.770998744027609*^9, 3.77099875828137*^9}, 3.770999655652009*^9}, CellLabel-> "Out[142]=",ExpressionUUID->"ea4845b1-e61f-4704-a3db-19f042eb3d3b"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["Correlation", "Section", CellChangeTimes->{{3.7709099146483183`*^9, 3.770909916939733*^9}, { 3.77090995932276*^9, 3.77090996032268*^9}},ExpressionUUID->"bc463980-c48e-4957-b0e2-\ f7eed60379bf"], Cell[CellGroupData[{ Cell["Generalities", "Subsection", CellChangeTimes->{{3.771000835887121*^9, 3.771000838424327*^9}},ExpressionUUID->"1327d8ef-169c-473d-baa5-\ 57b93b1ce40f"], Cell[BoxData[""], "Input", CellChangeTimes->{{3.771001233995432*^9, 3.771001266041666*^9}},ExpressionUUID->"140dfe44-96a6-4d68-afa0-\ c925c6ebd0cb"], Cell[BoxData[ RowBox[{ SubscriptBox["E", "c"], "=", RowBox[{ RowBox[{ SubscriptBox["T", "c"], "+", RowBox[{ SubscriptBox["U", "c"], "\t", SubscriptBox["T", "c"]}]}], "=", RowBox[{ RowBox[{"T", "-", RowBox[{ SubscriptBox["T", "s"], "\t", SubscriptBox["U", "c"]}]}], "=", RowBox[{ RowBox[{ SubscriptBox["V", "ee"], "-", RowBox[{ SubscriptBox["E", "Hx"], "\t", SubscriptBox["U", "x"]}]}], "=", RowBox[{ RowBox[{ SubscriptBox["E", "x"], "\t", SubscriptBox["E", "c"]}], "<", RowBox[{"0", "\t", SubscriptBox["T", "c"]}], ">", RowBox[{"0", "\t", SubscriptBox["U", "c"]}], "<", "0"}]}]}]}]}]], "Input", CellChangeTimes->{{3.770909927933982*^9, 3.770910010285089*^9}},ExpressionUUID->"16593550-51f7-40f1-bcf3-\ 968eefc8cfb7"], Cell[BoxData[ RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"4", SuperscriptBox["c", "2"], "\[Nu]", RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}]}]}], ";", "\t", RowBox[{ SuperscriptBox["c", RowBox[{"-", "2"}]], "\[Equal]", RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Nu]", "2"], "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Epsilon]", RowBox[{"-", "2"}]]}], ")"}]}]}], ")"}]}]}]}]], "Input", CellChangeTimes->{{3.7697492821883307`*^9, 3.76974929981513*^9}, { 3.769749592277866*^9, 3.769749608405692*^9}, {3.769842070462558*^9, 3.769842073438758*^9}, {3.770787703634163*^9, 3.770787726089631*^9}},ExpressionUUID->"a54dfec2-13c5-4395-99a4-\ 444f652e0d73"], Cell[BoxData[ RowBox[{ RowBox[{"T", "\[Equal]", RowBox[{ FractionBox[ RowBox[{"4", SuperscriptBox["c", "2"], SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"]}], "\[Epsilon]"], "\t", SubscriptBox["V", "ee"]}], "\[Equal]", RowBox[{"4", SuperscriptBox["c", "2"], "t", " ", "u", RowBox[{"(", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], "+", SuperscriptBox["\[Nu]", "2"]}], ")"}], "\t", "V"}], "\[Equal]", RowBox[{ FractionBox[ RowBox[{"\[CapitalDelta]v", " ", "\[CapitalDelta]n"}], "2"], "\t", "E"}], "\[Equal]", RowBox[{"T", "+", SubscriptBox["V", "ee"], "+", "V"}]}], "=", RowBox[{"F", "+", "V"}]}]], "Input", CellChangeTimes->{{3.770910095764132*^9, 3.770910155330636*^9}, { 3.7710012672508307`*^9, 3.7710012937488317`*^9}, {3.7710013759923687`*^9, 3.771001384792694*^9}},ExpressionUUID->"ab9356f9-3b07-4988-969d-\ c8a4e5b4f1d2"], Cell[BoxData[ RowBox[{ SubscriptBox["T", "s"], "\[Equal]", RowBox[{ RowBox[{"-", "2"}], "t", SqrtBox[ RowBox[{ SubscriptBox["n", "1"], SubscriptBox["n", "2"]}]], "\t", RowBox[{ SubscriptBox["U", "H"], "[", "\[CapitalDelta]n", "]"}]}], "\[Equal]", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SubsuperscriptBox["n", "2", "2"]}], ")"}], "\t", RowBox[{ SubscriptBox["E", "x"], "[", "\[CapitalDelta]n", "]"}]}], "\[Equal]", RowBox[{ RowBox[{"-", FractionBox["U", "4"]}], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SubsuperscriptBox["n", "2", "2"]}], ")"}], "\t", RowBox[{ SubscriptBox["E", "Hx"], "[", "\[CapitalDelta]n", "]"}]}], "\[Equal]", RowBox[{ FractionBox["U", "4"], RowBox[{"(", RowBox[{ SubsuperscriptBox["n", "1", "2"], "+", SubsuperscriptBox["n", "2", "2"]}], ")"}]}], "\[Equal]", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}]}]], "Input", CellChangeTimes->{{3.7709101588211184`*^9, 3.7709101638729897`*^9}, { 3.771001356558057*^9, 3.771001372816169*^9}, 3.771001502802618*^9},ExpressionUUID->"c3fcf9f5-be21-4465-b855-\ 8e5084647564"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ FractionBox[ RowBox[{"\[DifferentialD]", RowBox[{"F", "[", SubscriptBox["n", "1"], "]"}]}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]], "-", FractionBox["\[CapitalDelta]v", "2"]}], "\[Equal]", "0"}], "\t", "\[Implies]", "\t", "\[CapitalDelta]v"}], "=", RowBox[{ RowBox[{"2", FractionBox[ RowBox[{"\[DifferentialD]", RowBox[{"F", "[", SubscriptBox["n", "1"], "]"}]}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]], "\t", FractionBox[ RowBox[{"\[DifferentialD]", "F"}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]]}], "=", RowBox[{ RowBox[{ FractionBox[ RowBox[{"\[DifferentialD]", "\[CapitalDelta]n"}], RowBox[{"\[DifferentialD]", SubscriptBox["n", "1"]}]], FractionBox[ RowBox[{"\[DifferentialD]", "F"}], RowBox[{"\[DifferentialD]", "\[CapitalDelta]n"}]]}], "=", RowBox[{ RowBox[{ RowBox[{"-", "2"}], FractionBox[ RowBox[{"\[DifferentialD]", "F"}], RowBox[{"\[DifferentialD]", "\[CapitalDelta]n"}]], "\t", "\[CapitalDelta]v"}], "=", RowBox[{ RowBox[{"-", "4"}], FractionBox[ RowBox[{"\[DifferentialD]", RowBox[{"F", "[", "\[CapitalDelta]n", "]"}]}], RowBox[{"\[DifferentialD]", "\[CapitalDelta]n"}]]}]}]}]}]}]], "Input", CellChangeTimes->{{3.7710016886172533`*^9, 3.771001690454941*^9}, { 3.771001752464664*^9, 3.771001780711172*^9}, {3.7710027113452187`*^9, 3.771002743781084*^9}},ExpressionUUID->"ee0ebd02-7d71-47b4-94db-\ ddbe40e9c375"] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["Accurate parametrization of correlation energy", "Section", CellChangeTimes->{ 3.770909766021297*^9},ExpressionUUID->"8c9e7f85-86f9-4d58-8452-\ 87ef6a061143"], Cell[CellGroupData[{ Cell["\[OpenCurlyDoubleQuote]Good\[CloseCurlyDoubleQuote] functional", \ "Subsection", CellChangeTimes->{{3.7709164085350647`*^9, 3.770916412842567*^9}},ExpressionUUID->"980a7e6d-bd19-4600-b4cb-\ 9a57b9755c59"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"F0", "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]n_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "u", ",", "\[Rho]", ",", "a1", ",", "a2", ",", "a11", ",", "a12", ",", "a21", ",", "a22", ",", "g0"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"u", "=", FractionBox["U", RowBox[{"2", "t"}]]}], ";", "\t", RowBox[{"\[Rho]", "=", FractionBox[ RowBox[{"Abs", "[", "\[CapitalDelta]n", "]"}], "2"]}], ";", "\[IndentingNewLine]", RowBox[{"a21", "=", RowBox[{ FractionBox["1", "2"], SqrtBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "-", "\[Rho]"}], ")"}], RowBox[{"\[Rho]", "/", "2"}]}]]}]}], ";", "\t", RowBox[{"a11", "=", RowBox[{"a21", RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Rho]", RowBox[{"-", "1"}]]}], ")"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"a12", "=", RowBox[{ FractionBox["1", "2"], RowBox[{"(", RowBox[{"1", "-", "\[Rho]"}], ")"}]}]}], ";", "\t", RowBox[{"a22", "=", RowBox[{"a12", "/", "2"}]}], ";", "\[IndentingNewLine]", RowBox[{"a1", "=", RowBox[{"a11", "+", RowBox[{"u", " ", "a12"}]}]}], ";", "\t", RowBox[{"a2", "=", RowBox[{"a21", "+", RowBox[{"u", " ", "a22"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"g0", "=", SqrtBox[ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "-", "\[Rho]"}], ")"}], RowBox[{"(", RowBox[{"1", "+", RowBox[{"\[Rho]", RowBox[{"(", RowBox[{"1", "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], "u", " ", "a1"}]}], ")"}]}]}], ")"}]}], RowBox[{"1", "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], "u", " ", "a2"}]}]]]}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g0"}], "+", RowBox[{"U", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g0", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g0", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g0", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}], "]"}], ";"}]}], "\[IndentingNewLine]", "]"}]}], ";"}]], "Input", InitializationCell->True, CellChangeTimes->{{3.7709157854401903`*^9, 3.770915863893804*^9}, { 3.7709159123747587`*^9, 3.7709161971850853`*^9}, {3.7725276750094347`*^9, 3.7725276758660707`*^9}, {3.772531793821724*^9, 3.7725317972681303`*^9}, { 3.7725318395281878`*^9, 3.772531841115456*^9}, {3.772539724640749*^9, 3.772539726572983*^9}, {3.772539820436513*^9, 3.772539822155542*^9}, { 3.7725398627645187`*^9, 3.7725398636032057`*^9}, {3.7725400881026773`*^9, 3.772540089318595*^9}, {3.772540473666128*^9, 3.7725404752012787`*^9}, { 3.772540662789721*^9, 3.772540663569841*^9}, {3.772554222417251*^9, 3.772554228096797*^9}, {3.772555335178849*^9, 3.772555336038541*^9}, { 3.772555799300026*^9, 3.772555801462119*^9}, {3.772557450967618*^9, 3.772557482280685*^9}}, CellLabel->"In[39]:=",ExpressionUUID->"7f0ab1df-cb07-47ca-a7d2-742c8e63246e"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ FractionBox[ RowBox[{ RowBox[{"F0", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], "-", RowBox[{"F", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}]}], "U"], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{ FractionBox["2", "10"], ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*FractionBox[\(\*SubscriptBox[\(F\), \(0\)] \((U, \ \*SubscriptBox[\(n\), \(1\)])\) - F \((U, \*SubscriptBox[\(n\), \(1\)])\)\), \ \(U\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Top"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.7709162201023808`*^9, 3.770916250004098*^9}, { 3.770917532295856*^9, 3.770917591931628*^9}}, CellLabel-> "In[325]:=",ExpressionUUID->"0d8d5a1d-a624-4e5a-a88f-2a5139b32b34"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwt1nlYTG8bB/CRkAptkoSiEtqQUubcM22E6tdKRYkWVJQkbTQpSXtKhTZt Kgkp7Zlo0yZpmzltKpUoIYTiPc+Zt3+6Ptf3vu/nOc9ZrpE66WriwEWhUHIX USjo/0GHiTfMDw5AQX8/j1SVe4RwHxlSo+VhYX0iz7SqehUmk73P69IMB4Oj dxSpV/GYKJcXLxyhLZW+8YD+cn3VodaewuS19jSyn1Jd6SBtl6bz3JG2oKa1 tipipLKs27v3UpsLTTSUa41nzZ3KyaDO2hPx5/9fX1T5WG1h57yoB+2y9bvS jRfeVNZqi5e8TPLk5PQZqnZi67GTrV60s9tWqL++856axGWbK5Ph+//+TOoq Qw370GuXaardqJ5J9RBkBH465U8rt2vpG/o3Qv1mP7d4RDSAttJrkafo1mHq Pu4wg7mlgbT88Z9hHWfnqKKq17Uj1gbRXKb+/ft3fIHa+J/2Th+ha7ThlODn U16/qQdX5VGrk4I560VTMKqt24NTQ8E0/uKoghRdLmzfePnQ5403aGlJYae5 0kQwFxubwusnQjn1cmuxh6mGv72Ew2jft3ltiH4lgR3vsh8RCIygCSxdH/g1 RhazqGN5HsiJpLEE10yE7pTHTvKJhJVdjaIJ+1cLq+ooYx1Tx5m4WTQtohz2 lA7vwjwfKcce+h5Nm3wnjGmo7sEUltFK29piaNetDvOyBemYuXrbBabxTVqo q7GqP0MLm8yqWv615yZnPzt0sTrrpXrVXrEcXz6ANYfcfP6UFUsLUui9GmOg j5XG13PL2MbRfp3qDdfaZ4QdvjbEtfnoLbKeMWWGCexROVG8LJ6Wr06/OZBn gfF/P+9fkRTPyW2OYeP55VXXsQSOHWyxA9JRbnyVCbRd1pFlYHwSs9L1NksR SaQFdLwzcWuyw9gJQXr+1rdp7O3xRcvXOWGm4f3PSpm3yX6mmgtWa08137xw m+aSH3iX+vQstnz+3C5jrrtknqbujo0+LTm/PoNj22gP7Lkz5fEH7STS9N2X sDubD0wXj3KcttIH0/kpMWkYm0xzXO8iXxp8GTOOZTsZyqaQuZElAwvaYpsg +ziFtvSr1irvnwEYz2KX8bFTqZz5B4Mwd2v2TUvuNM75hQZjjhJdG0WwNFrD USWmyL4QTHayYufj/DSa0hGaI/VjGKZxfv9M2Pf/11+PxFZvjVa0iL9HWjng JrbHt3nZlpF7tE2sFPWrtDhsZqjXRVotnbPfA/HYAHUhLPQ6x40OiVhzotSD mR6OeR7cwUpndZsOy2Vw5osnY6+MrxusvZRB+znFG/EjJxXjOqKfUaSQSUtJ KCzWlMvAep9aRJZfyKQlFNP4DkRlYh3XXD/gDZlkP9U6G/OtNTi4ZGMWaQnr HEx6sfwDRU+O0wLysBZNXn6LVo7nWvKxi4wJlwDpbNKnNR9h9QuZip0dHKuY F2Ku1MCoha33Sc+/eYqJ+Z6YkQ3gWPFUMcYsoxkb9XLcu7oEOzO3vtBbKYd0 zmApJqQ2L5QRzHFQXTlWfpF9oaWfY/FXlRj/t/jdG8NzSf+KZ2LFOy7G641w rPSqBrNxM/15XiOPtB//S+zR1Kqy2gmO+ZrrMAv56bXTtAeks/c3YBTnFp81 CRy/623ETCZCqE66+aTzqS3YH9lTybFJHC8WbMMyHXT/Vn7j2HjhNfZ9eBFz VfpDZAa/YAeWIjUkqf6LYxnFt9g+2+qAk0YFnOfJshNL7PfRLv5LmlGOd2Oa EpaZA+aPSHfu6sUmrdSW8DwkTdmUxMI2fPK2e6jwmMypqX2YO98HYS1L0hSt vQNY/TaL2u4gjms/DGKuZ1RlKH2k6duY77DakKyuuGVPyP73RcOYWI5I8NZd HK8oGsGYY1/HTEJJUzTevseE7B/lZO0pJPPQlEnMMXCDpYY9x2MzH7GK9Ijl r6M4jjOawuzfOTvNjZG2bZSYwUopuHiE0FPkob53Mxi/5MFmKSDNdC74ghXb yMkfusXJ2TbfMN4rCX2DTNKSW7VnMZvkpREen0gz3ih9x5b2jU4laxeR3rT5 J2Zhee/RzBfSkg5ef7DPuBlvungxuf+BmHks2IbHwVSbtOTBogXsqZ2r+LM4 0vQLvBQ4OLbp4qkq0kPPcykwdLr7tdgYacacwSJYeQ675qv2DPlxUhYXZM3M DMrbkjbStlwM1AuZGgMhpNsPCnGDkxffDJ1NmvEtbgnUXWVZLb1cQq6nPMQD x5ZEFJdkkRYwerEcvl6nC5xpIz3TkscLkhH365o3lpLn5xvFD34JF5VjXnBc aS4AwuJbw7Q+kp6hDQtAXlLf+2/CZchywe6C0HNP++5hB9K9KSlCsDNfcKkE Tzmyl8KW1fBKsc62VZn0Y9bb1WD7xKviiiXp3rEgUYh4Nuj2Lo90osfsGphg PsSzDSrI86zgWwf+2idULTxJn67pXwei9SIxy1NJ53QXSYB2s+8+lxnStuHu GyCl68CTHbGVyNFH10jBbosFvpEK0qfHbklBC/uxY9woaQ+LNZvg1+AaiZ+7 q8jzlN28Gcwm3wdX9pKO7jguA3z/Ao7t3/CcvJ7t3tsg8cwRG/l9pJNYcttB ulPeVvAc6Xzpvu0AuT12eBVpkQYDBSjLjS8uUWQi651RUgbK8QDVPC3S9d7x yrBPxKUk6TBpl5v/lOHtFc2ygCukhX737IAp00+Vh9pIT3un7wKV5T0YDHP6 74mrgE91TbXyD9LDq26pwLKtCczVG2qQHQejd4PUX83awbOk03dmqYF5TkLz hRUvkA3X6VEhyfqqvqMUaebtCSoMC51ttdhNOm0iDAPXy1qvMWvS9HU4wA2T qY5lD0mvc22jQ/uyXtPfTNLgvk0TRKtedH7qJH12cYgmZGxJ7H4zT/rWyH4t qJrXYt/Vf4msKotrA3ehwtFIW9LD0jo6cPCUWB/Dg3Q3q0AHet5M9TskkS7w vaELX7IT3yl9Ip26w2w/yBhPT7wMq0V22KJzCMT992ucukd6Nr77EAg8TAvj LSHNOu+sD795TBWNh0nPXE8ygHZmyYWBPXWEGYGBK42gblqgLsCQtFnHCSMo l3ASlbFHpuy8+MwIsrwkypyj6jj3184YfJQD/s69J+sHl782AVcb9n9Jf0jn nlYwBfvwXfdogvWo3nVvhCn8N/FeO5iKzOAxNDYD6bSDN4RjyVwo6aM5tK0S EVGkN6D8+h0XS3iJnXV4Y056es+oJZQ61z/zcCYdHW1tBRkNXpYV8ciUrsvm R8HLvz9Fb4rMe9qtrCH62Pl3tbRGWrb1urQS9+Ow6XP2Vrs7jSiPLR+0hTXr Kb5LHyPTrzpvOwH8hyxbcutIf9ngeQJ+ZvO5zswgM2kJAiehxcat6PL+V8j1 wiZ2cKlNnZY4i0xZ77XcEVYqFr9/xdOE+stNjztCZoRy+B8JZOY2lWeO8EZ/ C8tGl7Qm/6lTsL1Z5IJMPOlHh7tOw2DD5+xCtWZkMb0xZ/Dc4mwweoi0iK+B C/BfH/u22haZ0tRd7ALq+/rp3iHI9HzB0LMQW9vEprGQGc3ddFfYX5O1stWn BfXjvR7nYUBSqvhvJPJQnW7hefBgJB1VziC93mrmPNyjxebENpPmv3LOHf5U MbSsJFrRegFd7hfgUflRz/Eq5CErPOkirCkSHFi06DVhSdu9/j5wLPyP2ago Mt1cEfeBdPv3zfXyyGmXRff4gvzqsrIwC7Jer3XWF7Q8bW+tfow8tHaJz2VQ TTqSHafUjtb7G2PFAMuQlnfXNJCZ+5OjGeDnobn+ki6ygNyOBgbU6G+PszxK 5vBjdwDoL/wN2HAdOY21UvwqnLDJts4ZIN2vvRAIQQfX3b79AdkoVocaBNmq 0Z2hs8jRFn2+QfBppc+hs7xv0PyXnfNB4PncQH2nKrLte66lwRAu+V2kMgKZ +XGzagg8G9ZueU3tIOzWyC0SAd16AV8i9iNHj8s7RsCPgmpRfRNkW//FZRGg 5qt+ovEUMjP7uW0klAor/WDeJC0YURoFZTrikoUTyO1Tm3RjgJ13RNftG9mf M3QhBn4L3HJS/It8umM+PQY0+lcV5wm/RfebasJ1E8ovLjmYAcjti67U3YTK 7JkLcXHIcz8xmzjo41e8bZKKPOMnFhsH8+7O1QJ5yNEpFo1xgNHGeCKek/MY fCq3oLoHT742SVpJTyAenvM0NHjSO8nvD6MvAV44Ja+z/ISsx6I03IWnH5yd bX4gJzp+5k6CzNMaFXaULjT/qpZ2Elxz7LE6J4Ls1rCmJgn0TgreCaQiC2wM qUmG15bXxArCkS2+N3elQp/e2dWLFboJ77mxdks6tDbsdeBRQxbB8/XToXof b/EKTWSzskvu6ZCqc99MzBy5saKoOh1O0t/FKlxGDpFtt8yACTVzIYtWZDmf gjuZ8F0WW/XwbA/qP7FS7z7AsFZDqBeyBdz3ug/ByXr+pwORBdjBufdBVMTs 8+bbyO2/xflzQHWR8+s7tcgurnc7c8ALT4wKWddLmHpD8kIezEfNrrJ/hSzt rz3+EHQO/W7Q7EQOqfsnWQDhSymMjYPI9FPLjhbA+st8M+xZZJddv14XADht ajeWZKHzlXGqegT+OkbRtEvIHrX6bx8D168HAutk2IRVpJ1ZhbCuVesbTQl5 qIY1Vwgq91hd9urIjR5OYk/B4cCyuwUGyJU7vh55Co23T8poeSIfy7jb+xSi NNZqnGkg+92shopAwi/YruQMjlyYtLwEjIbWtknc66NVWkU/Z8VUgOo/22em BX1EbqMi+rIC9A2YV3VLkRXpBycrwO7uxv/UXiCfLE0RrIRotYFx8W5kan2O bSV8cD26dngB2fMgnVIFSUPmfm4G/YRD4y7oVsOiFwe1Ij4hnxF6dYEJLUEq bfXbBmkUBvbrivZL2Bj98Vfu9BCRyzYOCjXBx5+DA13KwzQK/c4jVkA7ZE5W NK2MHCHyi5Uyhp1wLuG/zU6xyFYaWcc6QU1nxLcukTAznLrRuROaknkV/DKQ q2y5Qjrhi5Fl1IdS5LsKV2s6AUp+mNaOIL+t/W9XF7ACd/R7q48S+zlPPS7Y DenKdbu7gDB91dVfG7rBpd8iUlmHMNOnKVS+GyhqDNq4IcqlZmL2d4PsZNs9 M3vkOTuly93gYeTiqBSFrOoeMdYNK9ff/zw6iub7xfM86QH64cD+kQ9o3kff S5U94B51vHl4GuWBx/GGHuheJHZ/aI4wZQczYKAHUsZCbPr43xPu0dzH1wuK j51a36oQZq4Uu32yFwy0FR+8CEIuda9cxoIrfry3a26g+i3KSYIseFw8FsyM JEz/OXp2HQtE5FJPVieiXK9zTJFFfE8ExMvzkQ22yJuzwKX7S8iTTlSfnvg5 hQXhZ4od06THiPlH0wpl2TBJfxjCt40wXVzMUIkN+8Wy8jyVCFOmwrrU2MDV EDetr4Hqt325r8cGb2kPz1//oXqPi0fOsMFxcGewiS/KI8sastlQ+2xbThWD MENLbnUBGzZFbmqSC0bzHJ7rF7Ohnyq08l80cs8375dsMLvz5daDbNTvZflq gA2a5o+zuDtQv7z7ZkEcUuRzGlx70HoPZZauwWF+cdoHdh/KJTTfSOBQWhil 8GQc5W1aknI4KAq4FlsvICf5pWA4hI879jRyjRPz+71rtHCYrLb5tYsHGV/W sh+HrLOGGK8wYcY5lwRjHCSaFeqeyRGm1Plw2+Pgky4zLqWIvEryxGkcerzX L4/Yhdx+LdMFh5tyKwzsgDC9XH7QA4flwZ86V5mhPElGKggHR+vRHz6WKFfk e3Idh1qVPrExG5QHT8iG4cAYaT5WeQbt56NcbQwOP+gPRk/7o/10ib9IxqEy 8+PdS0HIyerGaThc5ZE3Db6B+q9wv0rHYWV7fk1GLMrrTNzv49C5a8qrMBHl Vo8zcnG4k6CgXJOM1s89V/UAB9njBSkD95HHX+Q+wuHTi2nzqXy0vpCK3xMc CmWVVsw/QfN2VKo+xcEr1LWWtwRZ4QCriPjBPf3Id20l8udGu2c4cJvM7JSr Qf23t3aX4NBUrDypWo9yC0vlMhwOX35iYdaO9lM/eLeCON93X1bZdaH17YQf VuIwrLOz4TwbWa89qwqHnBz3K4xB1L91SXA1Duf4n+6OGkXzBe8ZPMdBxe3b p+QPyAKx84R/v92VmT+NvKfpJhMHpprH0YpvaJ6AqkANDsF3i4Sa5pA/1HkQ 1v83+6p3AdWHnGESFrLbHTDONUHsL1DgG+He+ot7fiwjzCjN439BPH/bnn3m XkGYSZdbQdg+8ke2sBDKJb1nifptX1VtNq0hTL8X8YLwjPml1TskUK59+BLh 4rKSFpoUss1LIcI+6+cCDWWRm+viiP3SA/bstd6ObGq4QFzP0vdeX52VkfsN 9Am36JXl+uxGjikOIM7jZv4v2xsaaD+xnsnEeVkIaIgl0lDueTWVOM8NHj6v s3WQA5uuE+c92lMeXHwAOZd+uByHvL1/sFpDtN/wbl7i/ril7v3eYYquX/VK FnH/VBf75b+zQHnhVlni/s47VtrNWCMfbQ4n7v+LpnnxfyeRM81ZhTiEKGId K06j/QhU8BHPj8iPKvp2d7Sey7DUQxzYln9/ql9C83eELiGev7QqeKTnh7yM 1ZaDg/y15+sdg1H9InWhTBy+Tvzr9AhD85x2hN8j3m99enhgNKrfmvoxBQcd kZrfaXdQfXKe1W0ceL0WFT5KRfVNyk7xOLTjmmeqM5FVFmxicTiW8aIHL0D1 p/bOhePgsbO2SPQl2n/C2okrxPupIpkW00iuH9LmQ5ynql8YfxuyuNItTxz2 aqic5GKh+vzZF2dx4NLKXDU9jdzJk2qFw6w25c/pWbQ/zbFr5ji81z02NvIL 9d9I1jfCofGASBWL+wORl5zz1sUhyjjIqU4cmc//P0Xi/TcdMqdLEmYe41ch vl/u5lTNChmUh0jPSRHvj+XsmifKhOkmbzesJt6fE/Z1SfuQn+9//4sNeW46 kh7uhBkvjxhVsSHJPY3v8yXUv33NNuJ7G+Ex/+PMZZQzfwzns8HNq6j1eAjy 0yVf77JBjSHteygFzYv8E+RFfL+juLs3NaF+ySV+29nwLMa2Jvk1sqv9Pik2 5MRW5ot1of66ms+ibAhL8AhcOYTM5z24iA0mqaPKv7+jecvndnazYLCgNuyN 1CThrbvzvVjQPsX9aecWZLE3aS4sYMrr6sfJE2a41l+0ZUFaXh3/ETXkSx3M /Sw4mV0f0adPmHJYuE+EBWPJjVHjl1C/oZVCbi9MhbfELrSiet8Iv/IeGGjm n7V5i/IHJ8LzeqCN18CM2UuY6dt++U4PFIS0igSOoLy0YolPD7gFtd3i+YXs EPFArQdmfdsThKU/ovffxuZhN/xx6ry71Ycw0+rTp6tdYKZqHaPoj/JdXNlu XZC/aCx4VxDKD43us+kCm8Sf57FI5BN2dPUuqKkT1zNOR/WRFSLTnXBd8sSs VxNyotwR00648nM4vaMXOf1slngn/A8UDWRn "]], LineBox[CompressedData[" 1:eJxTTMoPSmViYGBQAGIQzdBvNtn18Wt7hgbuopcfLttpO7L/S9v9xp6B4VEs r/MFuw2rVqvfOADkH3g2aZrmBTsTkYBAz2NAvoN5OI/ABTub5zOWaF8E8huM ttXsPG/n16vl/eEZiM8n1vLqnF3RTd8ZlUJvgfwj0965nrXbWTjFqCcTxL/2 MOTpSTv3RYrpG8XfAfnlTTWPDtmZzOBTOyYD5DO8loxce8hOoe/3k1uKIPni SoOKQ3a/Kq8mseiA5JetvMh7yG5tYGdcuAOIb7XpjcVBO2HGj6F/M0D8XJX/ svvt7scfcPHcBeL719jX7rA7E7qWOW4/iC+edEN4h90O71mHio6A+BMielZt t5tkXuIw5xyIb3rW68Y2O1d+DZv3j0D8bVfdTbfard7XbzyV+z2Q77yq9ttG u3LZeKWHMSB+goKS43K7pACDsDuJIH5b9c66ZXZ+zYxd19NAfJ9nz/YstVN7 ufjj2QIQ/1iksPUSuytbXhzY1QLir/utbL/QzsCnKH7KGhB/irvqlWl2MvXO k/s3gvg8EnppU+3YN4kc79oG4n9I/vtzst098e16jQdA/CXSauoT7Xoe//6b ewXEF2DYYNRu96KqdY77HxCfYX5Ekp9dj9xphyP/wfwD2uZ8dgBLGOPb "]], LineBox[{{1.9999313164611916`, -2.761679773755077*^-14}, { 1.9999999591836735`, -5.195843755245733*^-13}}]}, Annotation[#, "Charting`Private`Tag$36295#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwt1nc8Vu//B/CbZERlK0kqIyV8CJHzPkb2KKFo6FYkJIlkuyWjkL2KkJFE SdnrLkQfW9kjK8nHuAulyPd3X8fvr3Oej9frOtd4XH+cvZecT9kykkikrQwk Enrq2053Ur/ZAv2VRCFHYBVuoUxnRpXw34v2btyBt7G+wzOpni5auEeY8xCn szPGekq2ovjvGZx6uqBZQ84AM2jtLUrdaYOj8SSRndW2opfTj9deweu600J/ 6mypLu/x7Lvddg2faGbJeHF1WXXm7qd66wSXjT5ptKpQ6a/cGr8bPpX18CPD yIpqvaZgaV2K+//n/JhmUuv5S60e+JUQr3W7bCEshZH8TCzTeyMnS2LbjVVs 7gf54mqWyP9gblyUwFk7f5zxlUrR94/K2KLNyqYJ/gA8oTPNmo9DE9NmCjNa YQ7EF5nY4kfYTmH8iiGaETvv4gtS9PFt5ljTCU05L+4gfGeCWK3Rx/OY/vY8 1ZqU4I35LGwwVfKN53ajwbiLFnllosAW0/5aMbqw5x5+rLkl5s5FF+yalVVR iPX9jb6SO1aQZvzHgycMf1Hg0PHTzhO72G0zwRkYgVtIHhBwCQ3ELBr63fVy H+CPQxKermeGYJfYecPK70Ti3xjyNOzYw7CuuYvUQbMo/Pie32eNZaIw95ey sQbLUfg1lgvn9obEYodZ8LK2tmj8ZfQ2s1SmZMxcuc2VahKDy84nhnC/TsFm sqvZfvTGEOsp9EnHGi4w69Z4xBIetcvEmkNjal/3x+KitRZFYJeNlSW8ZxIj x+Elknn7o87lYqeDRhn3n4sn+lH5LzDOo0esi1kS8Amem9ZDY68wjmUX/8qU hI39mr/BvuZXVIdgiYTLtEsxPdHIG+xViTiXubSJWV85dlbL0+wxbxJ+Rbkv XreuEhtIvKvrfyEZF9bx4d45+xYzDR8uKaMmE+NVdeuwehtV8/1/k3GfjuY9 o7L1GNvadXkTxkdEfuBcEzb5utRld+aGR9WbsVpHUuE3zRTCZk5t2MP9evPF kxsep3Vg5j0Nf4xjU/GfbXXlXzk/YiaxAw7G4o+JfH7gE3ZXgpwoXvgYH8hw OHajtgdj3XTt65RdGpEbu/ZjNy8MxFgypRNWZBnCrgh17+HF0vHjZ2S19/0d xsRnKuUK89PxVqVZrimOMUzFRYcWtrzR7w0Yx/gko6QtEjII2/BNYUe9m1kk JjLwUF62gd7fXzHaaN81UaUnG+ctPYONqP4Nux+y4RSXWaw5ae9zWu+GDQfn sbIlrX9PH8hEppSW0LAPJiFGO29n4qe12Pg7tv7AGM8YZr45nIUPJPteT/Nb xvpeWzyocM3CDShXO2Tnf2JdQc7fBhuziO+Z1q1g3vVG+pv3ZBNObPqDiW6S ei7tTpjiML+Gtahv4bBo3bCJ4v+wW5TpawGiOcjU/zpI8P5vlvSnLsKkX26b wFk1MPKv5FNkteFJJtjhbU0TDyBMfW/PDPYru4s8ZXIJS5awAbfSGndmMGGK rT87VNwacG0Z3rCW9VbgWExQ2BP+DDnduJwTiv+5laA7QZjC1sUFVjdMf7mo 5CGLbP7NDS/ntpfXTxOmfHXlAwup+Z3z+HNk8kgTP5AcW7wEEjesIb0DTk2H qjpo5RPriZfaBavidqmxKYRFit4LQZat1nrVImG1OFdhWB5noG5/UoDMycW0 F5KGvTSL118g39AUEAN1IcusEfOXyLL2R8Vh5qzSZtYCwpRkWwkQnvW8XHC4 EPlk2BdJuMn+jUfDkjCZQ/kQvD9oUd9zlzAnz0MpcLZXFCMNER7VDpaB+tDs 7jiWV0Rf5J4s7MjlDZaUJzydf/ofoE79mDp1n3CuMZs8cNu8zM0+WoTM2til CFcChS1VbAiLmA8qQeWTCLb2SMIUlbmjYDPm6LAyRTiKJH0MykiDghHcr5Fp Fy6oAoeIfvNeIFy2NRGDYqsDUgbxhCeP8KnBFr/Eoc9UwilG79TAKpU5wm2W 8BG+W+rAPDQ5l6r5Brnw2KwGWFhmvKR9J3y+W1QbFgbNtjwRLEb2ObukDcFW rLammoRVOz/owOvLzoIlcYSTuEP0YNt1LMhbqQQ5ztvYCLJptM9SZMLkPSbG oOqapTISSliq9uwJcPBgp6kNELahvj0JDXf6zzL7liILBwqYwvnNEcWl2YSr qCWm8CNEjdO+bSPnPGsGIhFPG5r3lBHrlyswB5/EW7LR7wg/LAuxAB5ByTCN /wiPvNGzhLyUoS+LPOXIU7acZ6E3Q/PRaVvCuar550Aun4tZiLUC2Utc5CJ8 kG4gt8oSTt6xmQzkVx6VfpaEpzt9yBBR8vnGWB7hgkg3a5imFgzmGFUiz90L vgz+mtaKFu6EdSncNsD/njeaLY1waniGDWg2e2tfoxHuEPxgC4+79V79E1uF HOSHXwUFi7/sE5WEJ+K+XIWWgcIrcZOE90tF2sPvzwJCvxSqke/xzTmA2cyX 4Ko+wsG23U7A/r+A8zrCtcgHA+VuQpL9GSspbcKVdU9ugugnKTLXdcKPJfhc AZ71Xh6sJnzfg+QG5c8SikulqcR+hX7cAtLFAMU8DcJPzd3cQZv3WmnKaWTK 3PcVd/jop14e4Ec42Z3NA+ZMZ6sM2oh+TZquFxxh68VgnLDDxIgXeNW8rZH9 Sbi+/bY3sEgmUvmE3yKnvX/lA3vX1es/OyFTFKR1/ME8N7HZdes7uqn5gpQ7 kHLhjuGVvchqfsXjd2Cc26nVQoFw8XftQHD21WjHLiCTBC/z3oV7p+a6WAoI 51TXBUEHS5/pHyph+CUfDPzV7z7NfkKmfF/LDoZMiaSezjXCX+5EhkD1msbA I8M6NL+YgOc9YCo6fO4BGVnt5omVe6Bvt2OI4oZMCgzwvA+9nXPDtimEX8wE hMH3nKQxmVnCfz2fR4CYyfx0XVg9+j74yUeDoL+Oil0Gski7elg0cBakh20p Rab6OUxGwx9WU2mTcaJ/c+1hDHRQS11HjjagvkzqzjhomOdsCDBGpqxv8o2D CiEHfjEb5FHDxbE4yPYQKneMRCY3+xbGg5dswPrKF+T0gw3kRHC2GjiRsopM Cv/RkQg24fIZONd7ZPk2jSQ4Mf1FM1gVmTqXeSgZRNP17/HEIqvlmHE/grbt vLzSao3IUnpH06AOc7LtNEdOT61qSIMyx/clbo7InFVJB9Mhs9HDsjKByDsF q9PBw3/4se4cMm3qyXwGRJ13GavHm3A3Wb3q0YOZsG8hR/Lywya0vyHD4CwQ 2E3yZi5EPlnhMJIFHAaWLc8akDm1y5Sy4VcOuzONRnh+fi4bWqxuvPHV+UB3 h8t++6dwu00ZT1pClrW7m5oH26SLv3xg/Rf1g3sYn0NWhGz4qhBy1LyV/XPo NJTot9JCTmcQVsmHQ828rmIJyCc5cmYK4HPjQk6RUjOyskpDIbhLOBpNGiDn JmoxvgKOkKlFPjLyCgOT2itQ1h5W8wxFpuinV7+C2Pp/B/B+5KPOgW+LQOdt 9rZWrxa6Q+Mvzb2BEZG9xesPkFlvWysWgxsl5ZxsJnJT12FKMWTgsbmxzcij NAX+ElitpmicFWpFfQkFw1J4WXHO/Ws1MvV64Fg5CLzhGmFgaEfn/Se6phbO h6+aTfIjtxwq46fCE5svze+lkEdX64ypIMVXXh5mgUwaKKFSQcOdHM9XiPzG WSb/LSimnMmJk+mgO+lPxpM6sAxtGQtSQR5iokzWgY+b+u7bWshLrFwS9fDW 8FCc5Tnkqs8mL+rB8O96gHAI8uw1j4YGsLbKuZA7QvQ9CwSa4K7+ruTkb8ik fTdsmyBHMerT/SVkVsP1100wu83LwGlLJ8oTA00/gHutkbKcIjJr9sWUfyFc ZJm3KgKZLNl1uhVKxjVb2lW76N7Cal3dCT26Ad8jdJD3eed874SfL2r4DU8h 0zbZi3eBkreydZMdsvby1eguKOOR+UmNQZabd3L6COXHBUWKppF1u89DNwzk ndG6sUj42bhXN/zhjHeQXkd2S1gq7QaV4e3FeTwf6eZ/SpXvof9vbdbPBOQj JnxyvVCVQ3ONi0MW0Y/R74chDunkU2nIulUmUf2wdtOxhjMPeYRS0NMPGD7F GlGLLH4MbAegpncwNWgGOd9o/N4g1LI2NrqrfaJbf0DixzC8c0jdZTmLLO+g njkGr785Olr9RFZ/Pt46BllXVSovk7rpTn7auzIGQVd6z17nRb7eXHNiHHQv cT0MVEXOfx7JMAHtlkE7XoQjL7fn35qEIV0nvk2He9B9+uie+RVaG4/Zsioh /xsf0f8VarS3FG9VR3ZtZ+WchrTjT812mCO/G5f2m4ZLamOxh32Rg47oXfwG 00rm3BatyFp3FBT+g2VxbHuBUy/dMdPr8gsA4xqN9z2Q67z8fBcgOFXX/2og cojW/cYF4Oc1W9ifjPytO0uaBooMju0P65GP/q5ppIHHYFJk6K4+uj0PlrH8 gLXIpe02H5AjyWlvl+C4wZ9G9U/Ip9xnF5YgnJlE2fMZOWYqXHgZdvuy0waW 6KZwxH3wWQZw2NdhItJPz6MvAfYT/I+fjMJv00053ubR9gsYfz/n3CU2QHfx QwuFVdjVqrGIywyg+7kg4LgKRzL6u22UkZUCpTJWwVaP5dELI9RfoZ3etgZN yZfENNyRD+RXzq5BpMpOFftGZCa/XRXrIOQTfLnUfpBunog/hgy4wsnd2kOu dKsdZI50YsCNRd8cYPCjm8p83ewBA+7fMjanH0M3ybv/ZgcDPi6EeYxUIMu0 bzrDiD+rXgzfzDFE7/fNZjptwskrOrkLCcgv9Vavbsb/D4Di7m0= "]], LineBox[CompressedData[" 1:eJwV1XlcjN0XAPBpod52SZtQWpR2StvMnKm3lYlKqKRCi6KkTahfUwbti3hN VKJoxaAyEo0albQhEakotGlREpLfef54PvP5fs597jnn3ufeUdl32MWPn0Qi NeBD/Pqvm0x8Vd4LJFpgVw1nCey/tGabST2aoWSjKbkUMk36vih2o7ljv994 LoWRw7sVPv4h4nFBDb+WQu7AjphQx/cYf5A8TBMGvvrNVmnjaIbN/7p/iIC8 VJlE3ByaJF+4SV0U9Lz+eRdK6kOHRr9wEQWPX03hrjKExxYf3hSFyg0211aS 0dz9fEGBYuBfCMJlKWja1VnLUXFoZRq1N67vB9KApFBJmhSYSz7jzzImnLYt sUwKSnL2muymoRkdBzKapODkzfSCyR1oEjVZmn8ZmL8ZDpOPJ+JJXyejl0GJ dp5c0Gs0V015bYg0WI0ksJdaDWC+fG2TozJwTK+95aAdmvE3XCdHBtjhCp86 6egBjgP9gQysXrylcGkX2ocrLkZaAT+l3yfoB6O5lwUzUlYAm2yyw41FOCG3 pkwW1mSO/SydQBf80+4togCP9saV3plBK9fwjPQVwGvjcvcH84TvnjN0VYDc bnNOK/8HzB8uUpivAPKrkqMmZdHcUocAY0WQLtOcMQIiLnqIGbQSlvD8xusy CJvZJcysgrEf/X2vDD4CKdNi3e3HKlAdkFG/eRO6uTWF/k4FGK+p1+ss0MNN K/m+q4DsvbzgUlt0SVJjleZasIravRDjSYzPjnLMWgsXZ7sV1BLRBzJ/bgpQ BfvpNtewfvSbwfAxdXUoGn3QIpE+iPmZd2u+akLIhW2qQdlo0if6jJgWmFgP nnjCQvukX7XS0YKWPBHdmEI054qV+kEtmHZyzxjhoNmk+PkRLaDem9vOGyTm O6XUNLYeek4avj9mNoT1ZX8+8lcHJFYVTw4NoQ8NFzLZBpAaWOVfoPYZSFO8 slhJY5ijlQ8diPuC9VLGZTvMoLZo7NJRJpoupD3RbwYJwjrbTycRXh1fM2UG Ep0Vjwuz0aTNBYbS5qDhfTO/rxgtxenOdjWHnbG33Vw70dZa+fPd5lB1/14r qAwDSSfY/H6nBRxfNX9yqwaaVrSiud8CaPGmFnu00dZ6X3kTFtBqf7/0uDF6 PjL3jBgZhl7XnK5yQLs+IK+3I4PM3EOadhg6WqT+BocMERt4lbINaHJUx1gy BfyNlAuymtGs+gYbFgXcNsWkiLWjEzli8dcoYGFutI+/B53banmxjgL8VkWS ExNoN9Nbjt8okOHMDHqiOAIk36LUg85UYGwf2EFTRnPFK257UiFsB9nygTq6 gnPxZQAVdrrPyt02QJvGxpbGUkFpr++TXFu0snFkdjEVykKtlSPC0LXK/0nN UiE3rEB08ihap3vNyAIV0iIW5gJj0fS5xgtLAEKjK9u8E9HNWn8iZQFMGGon tuSjhS/OaG8C0Exg+DcWEvljtpdTABSZvc6WpejouxN/rAEWz5zTNKlEd7n7 rdwOwMsQ7F7bQvTTukk3GKA6y+dxXgea9NSVHA5Qkl1bIf8KvXC5ZeUxgJQL ESclBtBTWfTNTICYnM6QpE9E/5oFrCSAkEs6HoJjaIP/3lalA7hcHjL49Z3o 51b2bhaA9RWaUuRvdMlhj8FcAOPCXKEp0ih+/0Ys0ysA8sWufZ9E0eeURDaX AoiUsp/6LEMzjc8suQGwUCZW9U4WHWEtnsYG6L/JS3mugqY9alqsBuj8Kji+ YR0xn7fuu/sAXB0b+jkdtNTiamYtAPvgqYrvhujm77Y/HwEUlD0R22WCPvRi m/ljgMyRJcEcMlrQaci2ASBe07ZNwQo9u+fW6icAYQGndU/Yoa1VPB83Auy7 3pjWS0cPzJ3Xa8Z+Py2doLgQ8Shh/6cA/6rZbb28C80O9w5oATDaf+YmaQ9R j4DdhmcAalebJPbtQ48fO9iIlvkgdLghgOg/7JhqK8ASZfsOtWC0QfsqB/Sc V6L+6TA0794SE/TnvOaML0fRrtf7xvH97l7hKftYdK/3ziB000oHp7IEtNqC 4i3Mz/FIYosmors+v63B+kpynkoFpxHr8dE6DetnvfnnSPtZdKKYsEYTQJLc 5uf6LLTS+5dM7P/4zmTDrDx0q45bKa5P0PmWrG9X0fPGNtm4fh5dIt+2lxD5 L2yxqgPYsnyLS9UNdKa7UjWuP9kl5Y7sXfTQ+IEJ3B+drGfS0Ry0qeHgKO6f UqdoeM9DIn8UpfwugJgk/aV5A1E/Y70+7vfX1NbsP23oBctkRglA3zOxWa+X 6Nr3vo5FAO0ijq7cN2gZ0au9lwFuJrbJnBwk5g9SsPwPIL9JPHJoGF1xvm5F FkDG0q2vbCaIOL2gPAXPF7P9vPBPYn19JhUYAD4NEnOBi2jGxvZp/P6d+bft fCYwhvsR35yE52MDo0M2XQLdLP9j3g9g9kTnheVq6AV2ZasdwFCN1HyEFjrz +mAeALz66eTWrYeWUZXQNcHzdvS5fI4ZurLFhakOEB3+Imf1NsK2bMm/VDhw R/pXnCu6d/7ZU7wf3KddPD64o+cNp2GUCuaHXyoW+aLdAkO8u6jwO6jrktZx tJPvX99rVHDdtCdLLw4tXFjVmUOFCr7Ppzcy0WqcJ3/TqODF+nGEko5WukAv jqTC4yeK9s5X0aYz6XJWVFDMKqTsLEZP1ZbkGOH95qmzcXcFOtH543sNKqjN UFb7VaN5dzQqRKhwRnnvbHQLOuYaeHZQYGBsZCS2A+1zOm8M71PTe2H9CV3o 2kYZMpsCo47MltQ+NKupd00mBRxPFBcUfEN7yg5N0imwvPsrvVlxHM/zR0Ze DRkOXYmyaluDptstbigmA+/QX5MXaujMXvPEbDJECSxT7dVDK5nVHTlIhh4D o5+TVmha3QuQJ8PllOPX5A6iK1IG6/0sQNtSaNH/AZon2Hmi0wzYZeXr3nDR bPOWyjtmYCTj5OzQiO7q1Sk8ZwbkL6wi7edEfKS+YJcZbE1bv2XqMzp1f4fq W1MI63FkHZP+iuvLKoh8bgL3j5zbkBqIjv4hpJFiDNR3pp5/QtBGzh8YvsZQ b/3+VEgE2vSb90WKMbTIafQ4xaGdXquKThpB78N7cSvOo7luDtNbjYAk8q41 n4se4gjYCmwEu6sqAbflJvB+Wjh+wMoAjFgSGo1KaF71Cq6cASin/x56q4K2 D7jwoUcffh17tU9QB91Z0cbV1Ycbzkleu2jo0D5VxRe6sJxvesefA+g3MXdZ EtrQ7821dqhBa7p06e5Xh9YdNwS86tADv0UChNSBs+VifRgPzRL0TStXg7Mm EbTcdrRP3PeyGVWwkdQkT34k8teKh5xcC+WPMjaeF53E/jY7VduugaOrvNd+ 8EQz7OcDZ5bDPieDnb17ifiXledtlsPWk3zJr/0niflee7GkQWOkcLotFF0g uX4KlkFX5TC3hknEBx5LGoiDAT3M+1wFeqD+jOUoPyjF/ZudcXuS+H8abSvn A6E7Mk3J1Wiagp9AKAn65O7pxXOJ/Ff0R/kWqKmDv/8Ed6FJygnjZ79Ro2Xb DAN7iPEbAzMcpqj7HfL9fPuI8TcsFZaNU81v0do8honx4oFXrAepw8dP5dot EO7NbQqqpqaufkbj/SXMnde6Hkn9P8uteHM= "]], LineBox[{{1.9999999442449619`, 3.302767621881334*^-12}, { 1.9999999591836735`, 3.3041347435869284`*^-12}}]}, Annotation[#, "Charting`Private`Tag$36295#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwl0Hk8VPsbB/BJQvhlylK5LRRKISFcfJ8zmiiRQkKFSXYKkSzJ2EVK9mpE jLT5EXfsw3QNKtItSlQSLcNFU1q00HW+/jivc96v5/M8z/d8ld0CbD1EKBTK 1dmHfO/0EDzijXjA7CelcG0jtz4kWdRh0IAYiigK3dNdyn2mOZofHmRG6PNO nCzvLeBK2GrXc6YdiCK99fL7hyK4lg96K/OXuxNkPyXsT66HyuHCbc2eRAV7 AdvKW4pb9zT82Ykuf2Lqk44pI34BdzS+h38oJ2guTxNHFQbTOr8UQgjXtIud 63oQ4tMVa1pYoXN15kouPe/BQbcHYcT2Alt3+cM0xBJhXFctjpyrv9iNZKyN 3FMSogiG5Gw8fA8KWcyMG/OKJgT/ln7+6OeAJt2n5g8rxBD9d2mC68luyFw0 ddeUWBwh7FaXURMJRAr6SfS05fGEuepsPy0Y3d1N14lYkkAExU/6WsiGo50y N0yaWIlz+6RikQkj8KbXYCLxmyEy0SAZh8zf1w9+WH2a+CNxZilfNQ35u7hU Jh1KwXmefwYqK7D+ESabSny/eqOm43UWcn3iPkyNSyM6l96zOvDlMnJs7Qu1 uHaWaG00lt4QWYTcpORS62LPEQrGWstdJ9no8bgr7/nedCLMKGlBe8s1FFqu nWn5JZ0I7I5qNwssQ5riRG1X13mide2bSz6xlcj+z65gnk0G8UiBQzsgwUGj JdyFn3oz8HkYEzWo1VlsR1NYJrZhTwPqSM5orurLJPpiNQ2jA5tQbU6bqCoj ixD3k/p8RO0O2pcwKLL2QDbOixq0Iqqh3iGOeA7R0zu8Syf0LpL+EhTdwMrB dWpiB3p/q56bhHLn7kv7IbJQORco1ZhLbDbOlRVufIT2m4XvvSyXR/Dvd08a ODxG/bnxO6KdLxDhzAmfti29yO7My+pa3gXcn979DPHdTezXTl8g1ruVR1e9 7UMLfx3VtRG5hOth/AH0pqomaGXxnO1lXqNmP0rFCJ2FnTUwhC6utZjgvJmz bvcbZP+09Yd1Zj7h1GndrKD3Htlk9vtaq13G9Xq9ERS/jpGrVnGZUBlcaa1r +S+SmO///p1XAa5/pU2gY879GU6ihXP/myREniuerJZDhUT8VJuJXPZHpDba oFNxq5BQdjkmnd0+iYyCtgtTv+A8M932C5JXT9dyzLmC+39QvyPDyA7xdcNX iJm9bKqv2E8kHHzmr2JQhPNiltOoI0/5prB3ztkL5kHtZ7P7+9YXk+Yl7RGB ezZJu5afKCZas2vMNpbOBxEHq+K/NNmEGfPIiWJpcXhW5Xi2PphNFCZR4xRD JOBxQsDI83Y23s8xlgSV+Ro3tUJL8DwrtAg6TSWlHR9gU0L1qHCcKfCPUbmK TXNaDG3TbK2ex9gMwSNZCDCJOzetXorP91tNHpZFHhKqxWBT9NMUwGdqZWX4 pms4P3JuOSwx+LWkOBGbF675B9Qf7w/ufIlNaRpYAdKTOVtWn7mO54USSsDZ fDxnxzB2xRkDZXAJtPsWZHQDz+s0WgPl4zJ1fAE2U8ldBRw1JpZPEDfxvJEU VaD4dUYszcUe3NakBraCZBNfs1uk05Ws1OGnmld+Jgu74nDpBmB7mM00TmJT qqka8GVoHk+mqAzvU5PZBHkvI+icmf+TNjQe1gHTFU7sAfty0nfbu3RhdL/B AokybKpEix6sGgs/XKZZgR3Zpg/HpEZktzphL1v71ADaNjjyn8ZjT7l9MIQA H31Vygvs9fmEMfCTS55kid8mLVxywgSWXZNLVNfF1parQ8B79+mdbQq21bAW DZa4l18rMawk3RixjA6ecaucjNyxA+cN0aGhKG3hw3Nz7ru9Ddxf+/lOvcOW W+RhDhyX9RqW2VX4vMkrd4LkqdwXr3jY/AsrLcElXywtZAxbQk3VCsRevBnP p/+F73OXpTU4Ol0pF37E1lI+aQMfnu+VLFLkkPZOWWwLiS4SHnZ07K6WG7ZQ dThAsToLO0QosINFR1FCpEE16QzVnH1QIhS+0mBgM6WtHMAkmG00kIz9zz4x R/ANkxLS+rEPuiU7QWts336xqBrSelH8g3BwQRqnpgT7K7vAGT4l0ag+XdgV D6NdQCmttLVjdS3O31nHgJO5x7XP/419Zv9SN9C5tVhshUQ9aYWRaE+4p9XK eKCNTeUqegHjdljDKSfsx+21XpBW/Srw9Q3s05Uz3iDglT2/uquBdBWq8oNo +iF9x1DsNDUff1Bokzu/sAB76uaaI0DviDT3F2J/u1N4FC4/sbi9ObNx1kw7 y7eBsMVxWmq4AXskYHcQdPZXeGa9wW640BAE318tXfFtC5f0GsWLx2Dv6NvE xmfYoRcDQ0Dqd8zB7auayfkbjVPCIM/HwUXDHHuet3w4qPRoMBYfxdb8VRQO cL338HMuaWZIeGsE1F3P4dRo8Ui7l66PAoprjP6NraQp/WPtUWAu51/D2oct 7PM5Bd2nTOtiTmGXd3KiYdxurNGyizQvNsYgBvQW9iIYwpY2yoiBiKY7Tdpf cX7AeyIGxNVzefKr7pD2NL4ZC8ozpvxXR0gzs3UN4sH+Wm5H8P/+njXtQxor CVjOsVaeyqQp3D5qMgwtOfLAcQtpnowgMRkCorY+RM7YlYyw03DadvyxeBnu P2YXlArcX1v7L1m1kPOdxpvPgWil5oGzDNK0U0fV02Gn17IXzBDSSoJPwenQ +2j8pQeLNENZU/o8fLya93rTGGlKZp1FBqjaTAhaUvlk3rvvZxYoRm838rpC mmGxzzUbqGWFqZI12Lss+NnwQ8JOy2aINDO4KCMH/uHVBA8Yts660DvPNA8i tGNmpt6S5iX4jF2CAJf+3ayfpJWsbHxY4H5G9wqxuI3sN//6ngW7BW/piSak GT0po/mgUrjztGwm6cB3lSKF0CUjJ6dFa5/1Hs/VlkXQgo54PLInzbjIziuC Wr+26hA/0tRG7fdFUNwe5tSQQ5qX6p1UDGHRLy/vGCdNWVjcw4ZUzfuUVxvu kv2+wZ0l8B86vSRX "]], LineBox[CompressedData[" 1:eJwd2Hk0VXsbB/CDVG8kV8ZQSFRUQkj5PSezIuPZFFdCrqHBxZVCFMkt0oAo RKQMRUWGusg1ZaqQzGQmcyiF3mffv876rO/3efaw9tp7rSNpf8bsBDuDwdjP xmDQv1HXhEvTLaqAwegJbTmXSoTEGb4rs2mb7FjieEy4Dx2pTSunzXTwcnxM vqVynZmaou1+k3tbGqm1dc/x13uLZniqv0knZ+v3Qsws7Rvl5gpPCc/O3IG3 q6vRU1IRcU9JSrhC2E8x2j21HGuyyAdD2VZbHdru0inDWUSuht9zSzRtn5Er bdmku3Iy9blqDZrXJ7ziOfGWdTPqP0S7JVBy1QvCfWXwq4AdbYUbLvovyF7d Tua5UNrOM6J1L8jtsuo2aKVtlbenO4fovXnIU3e+Fq2W8FA2j3RJSOYuX6dt 4rbXK494BcZZKyTTdod7b/JIEtx+fLuGtk/nO9t88vOfQM2jYnX08Yt3JBeQ rEJr76F/aNttN2S9JkI5v3Wxsb2j56NEVN4Qm7CfFv2CtBODAs68IQ8cB2oq 5P8z81LaGyIvUFBwzYp2T4jDplKi6W0XJZD9X+72iu9fohJnmRq56z1aPnVB uJwcCa39fFmd9vvCBpty4ud1QPysDu1QlWNJ5eSNoVzkEev/+sdi5CuI4dLy xY1XaJeN5x6qJMdtU39/3EVbzejHk7ck+KBobOwI7fya0qW3JFXlRtPVWdom jZaHq8kYz/lDp9Z8oC09MV1NvIuN9iqq0K768UOzloRJzPG/DqftvFuY5x15 2atV+25/AzrbKTS9gTTrX5wO16Md2TTe3UDmnxYJGprR/i7bINBIVH33Hq/6 g3a9tWhQI8lfv2u+5BZtZ6rGoYkUaG+QeD5MmyfjImkmbemWOu5faWsHG/o1 kx+8Ua47l2nLu6UWNhP1znW56esb6ecvhWvvJ1L4F+fBZEK7eaZgfwt5nTrl GRlJm3c+zq6NdHDvjDW7TztyvP1RG1n0cCviTafdX/Jqso1owODq8GLajhn2 F9tJ0af2+Muj/+2rPJ3ZQYpXV1Z6M5vQit0RUt2k1DVe9MgY7Wbml0O95MWI m5vtPO2hXw/O9pIUZ/VXDoyP6Pibz5N7yWWnT0dP89PW9Wlf7CX69r/dDdpP +1u444s+8u7IZeGnYbQlrVt2D5CSFnPnF9G0Q0rMHQZItqVUfn4ibccghagB cotVbPlvDu0tSbw/BghluhDd0kG7Z8SvapB06J8S4NjRjG4Yj/IZJnWV+06s VqUdMuSZPUyKdNfkrj1AOyHpn+Fhcl/7kYUwi3YSz52jI8Se+fn2Dn/avJx/ aY2SYVUWn1Ud7SdK57ePkTkZjXVPTn0CRmDohN22KUJ6NSuv+tB+O/bKeIqE xOsHOAfRdpdx9J4igvwWk5tj0YxfVELZFFFhc3t3t4zOE6SqHKeJT3tMRKho C+a9Xn/kzJCS6AQ9Jxl04I+5pu4Zstos5ZfWbjr3VYrh+kpiq7LO/NKl800b pRy/ksLcCmNvDzrX9TYXmSWLEbPrHN/SuWd/ZuQc0T70o/JAE22OB4XlcyRs JU520/04O9lvc0Tcn2uqbZbORQ9LWM8T4ir13lSiFfMC/iTZbyRA2+QGnEUH 1tm5Nn4n7AsZvKJb2uj3zfG084tEtE7zK+yiXcadlbNIlJNaPzruRQdeey8y uUhOGKy699SINnNO4sQSqYq136LpTffDZFdSyyRCXUTdpRLNHBFo3cIAMb8Q hzyXduznBnnqsMMeE3HdDk80c4XAMRd2OCyds5XtQjv9PtpzJZwdAmo/jx+8 RZvT/3ozO/SKafh0FaJL/J5fcuOAtH++hnFyd6DfWBknrQCVX3YvzZ+imQI/ f5JVYGhUckknHx2oa23gugoc7m0yVi2lfWZtR9QquKHaNbShmZ6X6W4YXwUj Z6xFepdoL97iTVoNcT0sP3ejTrSKk4TAGmArPagZPoZmKMXoq6wFYd50noB5 NDP57ZLrWthp+792d0YXWuzDisS1cPRHpacFP5rRzbOGiwdyFHUeiu6nvSC4 1M8DTsmwOv0a3RdO87Dghdpg5fqK7d3AkCh8MbqXD9TX1bDf3IO202gJseGD x7HHVa2Z3fT3KMI6gA+Cnl5PnGShS4wms8qx3zLsIXwRzUxb5Gath8dy8UKu n9CBFk2dF/hBc+RS9krNHtwfeFaITQjO7ayvdtNDM/lP28sJQbanyMB7Q3Sg lf4USwg2LmeJ3LOk3biqOUMIFvg6L+06Rfd3ODYeFYbs/aosqxh0ib9Sf7kI bLrxZSFtAm1X6tPfIAZFxwPSnn9F9/x5o5pdHGyV1h959R1tkrw0qygOcc3q +bXsn3G/nbBwpDgIi1/1nhREv28QTTyyEfjSt35VBvQUd9jy9CbgLDsxVhyB 9lFPFn8iCSlRC/eqItExXyoevpUE7T/CD32IRef7GbMGJeHSmtz03mR01e9E TkIKlk1WuHDm08fTdciLkoLvnQ8GDvagTTQenw3dDF++dXd9VOjF872T1xS+ BV7+EVF6UAWdONPo83wLBH4iqcX70DdkR00/bQHBvPhTabpon82zyZIyoOlt vehng3Y/L1CfLwN3Z5tFpEPRgW4ZZ6ZlQX+6zsKjG73avys6fDusP+6vNtSP 3pqabFKwHbrey4vZjKKZUcJ6A9vBK/tan84cffw7PF805OD+GQMPEa4+YFhF CQvOyMH8eFlEiUof3QcFpx2QMvqqmuc6+qT6YCwowOk7xptdb6Mdh0Y5jyiA qnafb3kMOsaD87aHAlTHr9nhl4x23zTHm6oA0yZHIkby0S213Pd5dgPJmzcv 66PnE85vHNwNrUG7O8/t7QdGJq+Lb5YSPFAo3/OR0BZX065TgpOdVtcVtNGz XE27vygBQzUQhg6j1f4e8JVVBpnR+iQLR/QKzoj6JGXwMjnptCsC3eScHhK/ B3jEH03296PFuo6zPVcFJhXU2TeClhh00GpQBY+IYzW9E/S8DevxjCo0swk/ 6vmO5v7BaldSg4TBUNsO7gFgjEVPD+Wpwc5s17pGZXS+plxmxV4w0tqZURqM tonYZfNrH4S55DolSg8CQ1BCDtyZMMp8Esq1Hf16V0ZRCBP0hB+me+9CG84+ tIhnAntl5IShOnqqfn1ZNRPOSXt5LxijzTR/ZMscAKduxRAzX/SlC1r/9h6A A6zshysa0NwrFV+5acE8M6PfOWAIGH5NazSKdcFLsSxH8N9hYKT463m8MgIn ZYnEm1XoRY4O83YjsFLxu8Zdj5563qzx0wj2qSvbs7eiea9kbNt3GNg1U9ZN TKCbirUsXx2GCNNg1/INI8Cov6da8NoY0t21Jbw80HsMN9j3mECcRyLX5Fm0 pdHHc1MmEO61OO/ij452FYhgmIK7T07dsVA6Dxd5JmEKqoHSvocS0Afjsmrs TKEsYkWzVDWa/TCHWI8pdD8tu/ZBchQYuuyw3GIG78dXjCnKosMNwseGzKBE XscwUh4tyvmoft4MEtPLuS1V0U4HK07ym4N9akV4hyE9L7lvpbE5DMZXRQyd RWdFZVFvzKG5Y/WUvv8oBD47Gmv+zhwqRQ1M0i9h/kvxm0anOb4P3/KeCkeH WZi1fjcH16jqmzMPsK+qK7ZxlwWMh9XeXqpDp8w1+9yxgK4a7lnbRuyfAh/B FAuoX2NkUdKCfmrDdzfbAp6G1vEH9WH/lMFW07cW4B5cH7V6AXO2XCv3BQuY 9X1/Z730F2DIv0//Yc6C/kLe717b0Bd8tfJtWfBxwcSqeSc6Ya+UuQsLXp79 IBy7F+1y+cjGCyzw8WyI3WiMPrFreeEhC366Nt3bdv4LBHa6nt8/wQILld9v 7gyg+5yR3+dYkMk2GKIUjHba0hy+xALbmG9/alzHPsM28wA3BW/KN+ibPsD8 tLFVsSwFG24ma1CP0GVKXnt2UuBhI69knYkWfWsaqEyB9FeNjSdeoq/Grr3F pOCKxPFZn2r00iafKIqCni8jI/7vcD8lEpNkTYFankf3pSa0ekibvx0Fo0bB 1WFd6ORtf6S4UKAlsrbkZh/OL98KGD9FQVx/VG70MLqtjVrhQYGR76PExBl0 ZNnHmHMUpOoqRD/8hh6z0RHwp2D5t4Jr6YvowQqO3wMpsOw8cDGLbQwYUps9 zwRRkP242jtnJdq+bfZQCAX/8zI/WcBF50kj06EU2EPH8SJeNPF9ZneNgsI1 Jyz/FUCXFGfcCadgffO4YdWGMQjsEFONjqDgZJK3Zt0mNHvcM+ubFJSd/KXa II196VSfoVsUiKuF7vi0DXOu1SNqkRR4c/y2uWMn5rPztsZRFLyrjxX+rIT5 fgGV7dEUbL0rxTOohlY6+7YKHXgig+OLBvaVH3tuv0NBq4LywqQmuijr+mG0 4uLriVk9dJ+glzL6aqVO/4Ihzr8e92vH+b5b9a3LpugdH9i00PttLd9xWKIL po664vGjtvWUrbZBx/D3mOD5Tcw6F649jv6aPDyH569bMp3F54T7f8+oscLr u3/t/EMhN7RdX7cPXv93iuOemDv2T+T5svD+mEiF3ZD8C/OXhnPjVylIG+cP kTmPzvz7wQG8v+wF8b5yAdjfLd5qfJkC62CZPxWC0cdCJoQuUZBjnOW052+0 jZha7AUKTgyWmMJttH3k6zJvCoqeGehpx6CHU5NO4fMg6N+w3yAe91+3WleH z0vV+n5Z80f0fFtLpgMFkt0nxa0y0VkzXXK2FJxPn+P7/Rlto1JbKwrkDqxa dnqF8/kd3p2H8PlIz5BtKcFcyuP1bW0KlPlNTA0qMNcIMh3fj/dvKCZF7gM6 p33NFXkKSkw06uOasf9hILB8MwU6hZ+/re1AR/GPJm+g4HD49kNTg+ibP5ka qyhomK/3Oj6Gvn80ZH6RBZZ2ngkN07jPwPy04QwL7JReT+csok/r91S3s8Cj 1SjmHN84MAY8H/1MY8G85sybUaFxCDTaRQXFscA3M/qLtTj6ETtJus6C4IBu QraiBfKT4v5kQfSWPwfYCc5zuQf7KbJgQ4TAOi8ttMKFV4mSLLj/vUBtQB/7 T/SUWLwseFzDHlZpjo78KXByzAIK/oxUDHPBftzfCeS+BZB2NZul0+jg3JIP Vy2gVLvz8mkv7FfEN07+ZQHVQjKtJgGYFzs7VB+0gI5/8gIEotCBQTtGJszB TtYmLeQuvb+i+N9mcxi4wWj8dh/9F0+ndJE5TDgYyLSloxuft/tcMwfGmvba hBJ0RCybjYQ5BHsGzK+rQHNF99muMIf/dW6WuFiD+6sFNw/g94Ev+6SnQzPm mmW3zz8xA2lqWWTrGOa/PiaVKpqB3gPJP54JTUBg9fI/6VtMQTmGR6ZCbAK/ 3y2xyitMQeL6z/42SbTDtmKTXhP4ce6j/Qp57Bs8vceMN4Enpn/bWjIx3xR/ iJPHBNazTbOWnNFqMp1DL42g+1iJtkEhuv0V+5SFPtSynnDYFtO5UkDydz3I P3S31KMM7aOWnnlPD26pejHj6tG5ch9qu3VBZ93W/ZO96EFpzod2OpBRFKEU xTUJjDm9ql36mnBW/JjUZxt0k6Lz1VRVsDdRoDqOo5ncNbmtKnA4iO3qJyd0 pnv0ErcKyIwkT9e5o4vc6+S9lKEpZ7ikMBitTXXu09sNCoYexyIz0SV31jpv kwGxAK3bEc/Q+cHb3R5Lw6rn/JVXX6L5T3b0b98MXUJ5Oy+WoG2iUgL2SUBY 38+lU03onpoUPzkB/AjW7XZpRVc1ZiX9xQcOBgknHLvQiUWrje6tA/UsZt3R YfSU1Jf3RzlBpvc3Nmoc/V62SdaDAb8J9CmbzqAlDE/Hu30ji3o5zobf6Ovb 9OZr/hgZPn85Tm9xkv5/RqvU7BMJ21jDLPtFW83mQVYU+T/Kn/VU "]], LineBox[{{1.9999999442449619`, -2.5598782492281567`*^-11}, { 1.9999999591836735`, -2.5610291665145724`*^-11}}]}, Annotation[#, "Charting`Private`Tag$36295#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 2.1553235640681124`*^-9}, { 0.00036432384925595316`, 9.201350792409358*^-12}, { 0.00036432384925595316`, 9.201350792409358*^-12}}], LineBox[CompressedData[" 1:eJwlmHc8le8fxo8WIYRCUZREhMyI+2OrUMY5RUa2jFJIpBIhldGQVUoZoRTp kJGVFY6E7L2y5ZuUrN/9nN9fXu/XdX2uz3Xfz/P44wjZuhs7rCORSEkMJBLx tz3HNKLAMxlo9fX1IdwbkPB6ideS3ikQHxcXd2SZEdWrM7Oa0lIAW0l/XTaj yzfH3AKEU0FOVlZWe4IZVa0kS7Y0/Z8zt7Mhd5VbkStir+j+/kp2xOtn81Mk 4BU9/3c5B3L+K/DeVyoNnBwdHYcSOBHrr2j53WHpdL2zfDuiHrocfXQona5H DPMgq4smfy4pZ9Dz1Dn40Ltp9vyKsQy63n17JzKVmOGbgdf0vn+b+RHJtf4q T8xruv/ngV3IeCxUxUX7DeB6OW3XBdGSiFPCo6dv6P4hZSGU7KC9WvTr/3r3 ihD6PchQyv4yk8gfvRy9F8X2XNWkrr6l9zu0bT9S5zdL7qW8o+tdG0XRxBnF jUyZ74jz51BXRNGuKV+7zINZ9PuYWSeO3J0V9pG6s+h9lxylUEVoyvcoxmwi T//7MWnEm8YdIiabTfRVkx6WRqWj/40a380m+sge3yeDOO3fpaUcfk/vK9Ml hxxv7TJTtn9P99c9kkeFL8M3f418T+SL8BkpIPsBV5e/o3Sd1NShiKhWohJ6 j3PofdhFjiDmGzHdfaU5/9+/UQVZJWwK95r6v/59QgVt6h6eTtD8QNf7KhAy NXvx7ufcB3r/15bqaLaLzPxyB5Xo4/uuUx2FWDE5mGhSiX39Gmc0UI6d+47c KCoxH6Zmo4nYLqgG+ynmEv6OlEhtlPLzZ5+EdS6hT8nu0UEqnsnKvaF0lniW p4NcfFh+qnXmEvs27Z/URZWBHWc2Xc8j8ksPeR9HFhvDqXkpeXR/qqAe+u+2 GodzQx7R3+Rogx4SDH9VWbf7I72/nKwBuhZzWfpB+Uciz9uG0xDJvNm6iZ+p gPAPsZqaoC+SldY06QJ6P7YvJsg626fwhtn/efUIGYXn9l0cyKD77XL2U9BY aWZXqkEh/b4EeU4jf00bBVPvQsK/WTD2NNpexf1g8/NCYt8p5Z2mSLPOT8ft J52rWveboWffj2UfelREP5+5uTmSN11hGSosIubzu6bNUX1nlmPUcBFxXuu0 QAu02MfD/0f+E8E/NXIsEXliJKSo/RPhd47htUYsawEWurtKCL1xsskWxTqf tpLQKSHeH3EDSTsk3CJhvfVCCeG3Wblrh1B6m13XpxKiv7j5UXuUnx5NzZMs pfd3bXZA0yZTRXoNdOZbL+mM5Da3qaJBOt/ZnOiMrhaXFUsvlBLzSXFcLohR LKZ0264ygrkc11yQ0Kp6Rd/5MqJPrOCEG6KkxdR5biknnkfp19sX0VPLQH1H ITo/5Wi4iAY5z9NM5csJf5HCtkvI/brGV1XLcqL/fpXUS+iO8XQTY2Y5cV9X zzV7oE/LGp1P9D/T88HiMtrw/qB5hPVnop/2UPZldNyJt/um12cif/4+kzdq +zbd4/CUrgdw5XujudTYAakpus77T8QH7TOaGft8r4LglpuH/dAOf11lpxcV hD+4JM0PcWQm3mPOqyD2TzjuuIb+MZlIGg1WEOf1X2W4jhpL8zx7D1cSfsvs wRvoqnTA6t+RSqKfXIp3AHK36jz5dKmSmN8+UBCA7MNkX8DWKoK9ZtYC0Mmx Ec0QlSrivOHBYYFIOPH4Ha5HVUSeZ9e7W6iBnZtbUq2a2BczLhiCPqued/hG qSbmVyU8Q9BH16pcL9dqov9F26oQlFTtY1YYTWeVN+63kY9/z7Oj0/T5I4u0 ULRnNlXMLr6G0D08Cu8hHgGS36asGkIvGxIIQ6x6ZvXplTVE/zeuAWHoTyqL +8+fdD/vF71wVG918cN13S9EP9m16Qh0pUEJYue/EH4jXfkHiE2SOvKFqZY4 T3Sv6wOUHC4dtsRfi/uOTpGSHqBv+vs7rLRriTz5Sc6HSLyO23NfdC0x73t5 8SHqq55Nfa9Yh/mmks1gFPLe72owrFdH9Cs8tOcxYr09+mubdR0x3/Tc9jFS 0ulR8w0l/KRws5HH6FFFbSd01OF+fEyO/0Uj3bIUNtrVemJeaU08DvUKClFX I+qJ+ysG7zjkdfOpuXRSPbGPLFMWh17Ao7RHdfXEPL+sWTxa+nRT4ww/jThv 7JcHT9C7AnPvH58I5lsKEnmGeD5s7WVg+IrzRF5rzr9AFmFL5OHtdBbhPfAS vbQfqauS+Ir9HZaXrF8iiW35+fdMCY5TyW14iTS8rR9vy/qK+3nmvMpOQgpP T6dGSTXiPqXvdj9MQWah9QPByo3E/MvyxhR0zUtd4Ip2I3Gf3MvsqahMXzzK zLyRuA8ZxfupSH9lNWDX7UYiL3c25hWysUq1TOul5+24VpmOgo7vjIsbJ+ZT c3jZMlCqwv2Wu/OEXzb27OkMNMV2Ve888zfMOYFzkxnIu8RASUbhG7F/u57A GxQm+Ju7KPwb/f/BppdvUe6gZv1XlSb8vE1Gmne9R61HA+bCdZtwftUqnHiP Ft4Wb9c3bsL71R5z33iPFP2UbGqcmnDfKcN/ve/RRy6phdKHTTjPrJyWkoPy tXYIvh8jdFYR3aNU1JlxWvviL3reStwNKvrH8dhFcpXQ3eRtqVSk3MNOzeBq Js4jdUo4FxVc3ng8CTXjvEXfYcY8VJT60zMqiq4HW49+RN2sknHGz5txn/4U D+F8tOzhWsyR0YzP++gSk10+UoVRpvCSZiL/e/lAPipu60oIniD8iTHhIwWo hKm62lutheiXe4rxEyp3SdhpNtWC920+5N1TinLGXV2tFlrwfeztX15XhpLP KRfakb5jPd+0TrQMBTu2nbnA/R3nXQxVv1yGjtpujb+lQufDiVvL0VezYN63 Yd9x/vLyI9PPqPvo+W3rD7YS9287uqcK0aqPODAptuK+v35bGlehYh1m6hZ1 gj3bDwZWoedar8i8FMIv1tQ+WIVs1QYeHbzeStz3J9e0ajSmSOE0pbUS30vg Zu0v6LeIKnvm+TasS8RfrqlHaFCj+q5PG55Xuiq9mYZCEo76n7tF6PrlLsdp aDs3eXZvXBu+zwU2mwYaUmBw/RpfQfi/hJ7vbkA+XbGRoTvbsT/owHhoIyqN fqbrKNKO9W9CPpmNiMk4eU3zEKGzSpxoakRxNe/c13Ta8X2Zu33j/4YKqFUn vT0Iv5KbBvUbWo6cZ7f/0o733XgB801IS+9ftXoLoZdN+wk0o7BNpJu7+whe vMKo24wErrP87Jyn8wW2J80IuexpNBLsIO5TflKnBflrGd6HKx0478QTy7ff 0brF1xw793Xi+6gR1SxtRztpGr9AqhPPB0QxzbUjuRcd3+2VOon9qXv3dCCH Y4xP3hp04rz5YYvgDlQTZ7tPw5uY52WfPNmJIpX5lJ2rCX3D8n+/uxD/tRC7 POcuzGSfqjt9SN5QQKfbswvnITGLqj50QviDKMMNQq+Xy2ToR/71A9PHH3YR 30v8MehHg/yqPr0FhM6ruOFTP0r/9CtsI2s3ns8g15cPIIU161yTt93Yb/1T 8N8Q0jcoDdT+SOiOk4O7hpHdk90nFcsJPXHvoOYwuq/Y+2NHazc+34OauIhh NO5uzje4QuiCF/6KjKCn/ZRrFw16MNef/mI3ihjKj2uET/UQ75ftXY5xxMuR wea/0IP7SEfmqY4jSavNXRdJvZi91km5jqMz/6o9ydy9eF46dLVqHH2Q0U7Z qULo89USgRPIMQmYMu4RrL9DknEK1QfJNVQd6MN9VvrETs4iZfa6dQ/k+3B/ Yznte7MoLc5G0VyN0L+H1VbPoltvIxJnKX04v5ORRegnUm4f8+ANIPQ10mDC T5QmnsDj0kbMzxxnezmHNMYDszZp9OP+Bts3tP1CvpINta66/Xhemd15+RfK 8uQbadQnOEuXfc882rX6ju/J6X6cd+uA0IV5tMjZEyh1ntCFqxw3/0ZZKooU 09h+nH94b7f+Atp9f3IxfYbgjwczmRdRsY1/+vtfxLzR32X5RWQly2VW+Jdg /+cPbRbR01blj/XrBvD5o+Uf5C8iXoG73rPbB3A/3Vs/3P4hzgzRX3JA8NfJ MwNLaGOFw1RJJOEvevtowxpKfrz4pCZqAOedFruhtIa0nML1vsUN4P2Bdp8u rKFAZmrGYBLhfyas0rmGVg03OG/8OIC/r+QPyWdI8Lfn5cjxfkJP3roFMcDk n77e79KDOM+YpCq6HnKdIsuPKwxiPadQVW893GxDqSVHBnF+79DVC+the17C +XQdgk22vqGuBw1v8+VrFoO4b9W+3zobIH6+lU84lJivS7hxeSMcnaORPfoI fU/alY1MwGVz/fCP4UHifdRtl2aC3kYJfosJIk/Y6ZYFE3hl3RvS/k3ogvyF H5jgufsxDz6WIeJ91S4+txkWpisiSxWGcN5KQnAfMyRPFNayRQwBTf/I/jYW NrgQc3KvyyNCP8cZqcYGilpDfpWxQzg/M/j5ZTaoTWA+eC0J++ujTtT3s8Gc oVnk+Eesj86kOBSyA8pbMKkYGgLZnDfAVsYBHbcO9fgqDQONNfHC8htOeCld Kf8dYQ7T1vChcYJbj2mEtNYwkG5yXz0wwwkkxZvw48Qwznt1Q1aaC0QmGl6Q 7YchvmOwbSCXC7wM3RylIjHHVSYzfOUGNoFXs8PDmPmUtVckeEDt1K2eofFh kPtl5alnzAMekWfrBmdwPqm1uPkKD7Qy8L7q/4v9Zlu2RX3mgWejoVbdrCNA Kj2T1WPJC5JZLrRmuRGQy7m4bjSBDww0JV+XB43g/j3HvU7ww41rzHFld0bw /HBvsR8/ZFFHQ0ojCN166GQ6P3CLPrctjh3B/bfO6WwUgG5Wjh0FbzA7xoo/ LhUAt9a50OwW7K/f8Y5bezeEOVMdE4VH8fvFd9ZNSwgm1DJDWQ5g5vpTq2or BLq8KRneUqP4fGQP9ZtCsK46akZfGXN+5uf+IiHwFfbyXjyJeZG7NPTwHnDs kwkx9hsFp9QSp1qlvaBOyUrZ0DQKcs2Oz6Ic98EzibRq9zbCzzp45t4+WF6f ON7Zjf2jbH+tsvbBx/eRB7N/YD3unMKepX0gyeFOtVwZBZrEobOJj0SAv+5g Za7oD/y8bsS3N+6HBbXXw+f8fwDtjegnbf8DUJQ8+eRK0A98fzlBD9MPQCCT hEnInR84f9JdqOUAsDW+KUt6hHUuki7jAXEQOfv2We+rH3ifuuRquzicup5t Sm7Efp1d7vOaB4Gan1cPQmPglMucckNUGq4K/L11QmQMaBZLvZIa0qAWcPiI pfgYkO4vsjJaSEP90fz0q/KYs9jkpe9Lw3BbQQj1GGa1CYrbP2ngXvikJu4x BvG+Z9rLWg+Bl0zFh+2fiTyOgBdZsuAoJ5j4oAZzt+APxyZZMFW4do+1Ac9z JFHt52XhiLKc7boOzP3x08xKcrBOI5l9Zgb7WZ3vslTKQaRRkEvljnHct7FY YkweMi5qCXp5jANtaoHvmuVheOqRyDJ7ZRzk7MarSLcPQ7jX8oLz9XGI/zIR /SXrMFz0+UA7G4r9EnXiYhuVQPGmsJ/eM+xPkmUUz1aCisgNrXtqsX/RZNuD 7Ueg723FvW9CE+AkqSeVzoegcXrDlMz+CaAN2x+5rYegVEJbP0oCc/0Jrpzr CBIzKllPK2J/sW3i70EEtqlV4d36ExB/SOaydDbAaEJN5I8rmKldm53eqsF0 WP2jFdoEPu+35bu+GtBbxzpv1TwBsqeNt7yN0YAGZgNyaTv224g4r1A14G0o jfvWEPYfHr8v9EsDLgY1PGZaxPtr8s/ccteEeb/GGC7hSaBJ35upvqgFSy4t T8SuToLcpOjAwmMdICtYPpD0x/yaJ9ktTwfeMIyGyAZNQvyWFQ6WDh2wiv1z STViEpyUW7+X8etCWeWOo0YvJ4HU6CG+PVUXbgvazPvUYk6LZzMoPQpcrdP6 NTumID7hgQEfpx6IqzOuOhZOAa1X22WB1RCyMl7vby+dAlkHPp0Xew1BjtvQ 6FgV5i3/0snKhqDyIzZZ/NsUkJqydjc5GcKJ8AN6P0cxJzp3bP1sCB4dBrG+ nNMgq1es2e1rBAsa/5VN8EwDTeNQRdp9I/B7Ez1pLoBZkC3hwisjCPLvQ0gU Mylab6DFCKL3XRpZh6aB9LDnm4qUMeRfipIJc54GJ8ONzy/3GwPqOmyxcmEa 4oe27t2/YAzlWj3BF7yw/5rb1o8sJlDLI9Jh6I/51IZX7gom0P0pz3/b42mQ O/aReeGOCVjvt0gPicfznpsy7J6ZwMh9UvOf55ibNhUkvDeBGbtjIp0ZeP48 /363ThMgMXfVPyvF+yUy53bvJ0OQp/8CexX271lxfK5Ehs09ewUD6rBfLK22 SY8MnFlunnatmHkt9+m6k0H41Cqf6BQ+H4cPx3I2GdJKXmrGzWG2ZXieXUaG g2K655n/YP+WuMClRjIoLEeWTjHMgJwM06LSDBkKHOQmLBlngKbzYeO+ZTKg r+1cX1lnIN653PTBZgrovhRyyubBzBCzpWMPBeRi2USq+PH88JbbIwcpIBix NNwphDkxlPHSYQpsCRpLmhXB/gKPJm8NCvzz/W67QQLnU+wY/9OjwA/3ciG+ QzP4+9n1oodMgRaHd/0HFTArR3rJWVKg1Pzpc40jeJ6zTGrOngKZRnesTqth Xb3BlM2NAvG63gJu2jjvBU0/xIMCIap23TePY95WgEx8KOApa/jk8UnMNRQF 9+sUsBZTPZNBxv0sNrO3BFDAYPcBvhIzrOuVePsFU0B5G097sxXex1E0ZRVK ARGWDTFjdnifl2fplbsU4GKYo6ycw/pbc46SexQg/enh5rwwA6R1JTUHwygw NVXbLOKJOSHsZRHWOwbzHh7xwflBYnvs8XxVe7KR4XW8v0ojmh/n5zQ84HAI xNz1YntvEAUSK2589b2N/fEbbiXepEBYgWtERBjer/UvwNyPAr5ZpgZJDzDv rvbfdJkCjqnarB+jsT/ZMDP2PAWMn8rU1T/BrMC9xuRAAXi4++5AIuasAxIn zCkgEcp6bCEF77tsnmllSAG+G4uMLK9xXo16kbQWBTZ5jVbtzsJ65W3jAgUK /OfcHCxHxeexVRab20+BvrOlWscKsF6o/LGWhwL1lMz1ViV4vrZRXmUTBT7q xZd7VGD+ZB+t/IsMKeq3A25/wfelZB9W0EuGh4peak8bsJ5jFppVQwb/gzZr Wc1YD1bJ58Dvq9veE8WV7Vg/ybDlawwZtNlFVWYHsd5g/ljOmgwyG7ctrR/D 5yGxuZSrk2HXEkMB7zTW6wxS/ITI8He0S1HjD2b/YJYjXfh7665ZOLWMWVCW Q4RqAk1NVKorwyzIjZ1W2BRuAq+LI2Ufs8xC/O8Pb87j7zf2w7X/0jlmgbSP dred0QSCMpyzi7fNAk31a85aqzFYRWtKje3Gflqb+LELxqAXJj2zLDwLss6L T04oGMPhQIHMrQcw82tmtS4ZwdYLfw4ckcPzzdeYFfyNYNVuePykEtaLvlyd UzGCCbNvafYI592tYfr7xxAqtF+LRBzFbGHe8N7BEK4InN0zYIHny6fLpVRP gK2h9KluG8ypMzGnIgzgxC2Gu22O2J+U45veoQ8i40lztIu4f3m+6lsrPWj5 MFZaEDQLTlE6+5aFjkLpj/x56h3MRe1+Klq68HrHPdHsCDzPXVlVb60DgTcP 3n8Vi3VFGS/LO1ogre9xNuoNzrt0PS0vQQ34/TUfRWZjvV3LMVIKgPE9d/Xd XHyfRlIxjvyq0MuTJxlQiv3dn2TJw4chbGhp5XwL9je58YSZSIPPdtoh5w68 LyFT6ZijBNgde+Zg34vPM8UkIyojCsrv1GhnxjBHpXfbMguCyOBWhlPT2C9W xSNykhe2bhuSM/oP5x91EiONc8Cy7odz+n9mid+ztAY2bYCxq8FPdZcxd0hL 7EyZQWG76tQq1maJ30uUH8ako/8BxsJbRA== "]], LineBox[{{0.004330457838550809, 1.27631238910908*^-12}, { 0.005417489561734625, 1.3766765505351941`*^-12}}], LineBox[{{0.0015835426096924678`, 6.09823302966106*^-12}, { 0.002498553563646729, 1.0546230555519288`*^-12}}], LineBox[{{0.03181270162585182, 2.5073667586639205`*^-10}, { 0.031929751872294194`, 2.543092847417938*^-10}}], LineBox[{{0.026350109211944337`, 1.234884329457035*^-10}, { 0.02760281693199906, 1.470448651730294*^-10}, { 0.028216211956791783`, 1.5981367340600628`*^-10}, { 0.02843341809898209, 1.6463470586813856`*^-10}}], LineBox[{{0.03557391585864753, 3.803071635388733*^-10}, { 0.03680374230388991, 4.3144954275931013`*^-10}, { 0.037417137328682626`, 4.5873456144818193`*^-10}, { 0.037417137328682626`, 4.5873456144818193`*^-10}}], LineBox[{{0.020535767660489486`, 4.7475623432546857`*^-11}, { 0.020876025547010978`, 5.06242159303838*^-11}}], LineBox[{{0.010452116315053678`, 2.142286348316702*^-12}, { 0.011449102014118605`, 4.955502674874879*^-12}}], LineBox[{{0.03060659187613595, 2.1691786145083826`*^-10}, { 0.03060659187613595, 2.1691786145083826`*^-10}}], LineBox[{{0.02215153575109261, 6.374243355367071*^-11}, { 0.02262798561728977, 6.938467975475815*^-11}, {0.02330905175845, 7.745004637627062*^-11}, {0.024392215195720882`, 9.205258777456038*^-11}}], LineBox[{{0.03320526207637583, 2.942568855246464*^-10}, { 0.0342984056545659, 3.32036087513643*^-10}}], LineBox[{{0.007984504445927354, 1.238560603304934*^-12}, { 0.00918978315958251, 2.070876803372812*^-12}, {0.00918978315958251, 2.070876803372812*^-12}}], LineBox[{{0.02514923683282817, 1.0326903776558539`*^-10}, { 0.02514923683282817, 1.0326903776558539`*^-10}}], LineBox[{{0.015047899850261759`, 1.425526363618701*^-11}, { 0.01526052786580041, 1.4573634074569594`*^-11}}], LineBox[{{0.012881336336973713`, 7.266720558618545*^-12}, { 0.012881336336973713`, 7.266720558618545*^-12}}], LineBox[{{0.0066929997658162575`, 1.2846612662542612`*^-12}, { 0.006747386089046483, 6.018296971888049*^-13}}], LineBox[{{0.016561706485730052`, 2.0660628763380376`*^-11}, { 0.016561706485730052`, 2.0660628763380376`*^-11}}], LineBox[{{0.018527738344276564`, 3.178701746264778*^-11}, { 0.019260257456407852`, 3.7268854669036955`*^-11}}], LineBox[{{1.9999999442449619`, 2.1543562990901084`*^-9}, { 1.9999999591836735`, 2.155316636276439*^-9}}]}, Annotation[#, "Charting`Private`Tag$36295#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwllXdYjm0YxhtGkqShIRQV0aK09F73+1aIysynSGjSUIoi0iBCCSWVUGmp pKShJWnQpr33nioVGt99P/5y/I7zvM7rvO7ndSRqbHvUjIWJiek5MxMT+Xdn S/COjTuDUXBQUJDKxmJad3LapfWvn6Oy0tJSKdFy2hG/RsuDEi8RtjK1r6qm SWlvfiNU9BIpyMvLs4rX0NhYrft6LV5R/ubQWtqZjwtJn/RC//njG2g6fJu/ i0eGUn75O0001Uv7xh/8CqX8auItND7JRzL6AWHIwtzcvFCrncbi+UE3p/cf H/yvgzbeXm8tphSOyLjJ0U5aSaBo3HhdONW3w6Kb5s6WvOWeYAS1j4tpgLZt 32Ov93b/WMBwkPbD03agqSiC8ic1D9HEWKXiZBwj/92XNUorZbBz6Jf941m5 cdoVt35rd7Eoyn+a+SetcD5CpvrHP76UNUGzVbvlOy8ZTfkjwiZpAtfPjUu4 R//re2+KdmF2/ftrsjGUvvXWNI1jMmDXRu83VB+3b39oKTuuBGh1vfm3r/8v zcju2Mwl1VhKXyIwT3s3svpjfn8slbfXZ5F2tN9LzXJPPHX/mAML/JWweOEX Ek/1sZBmhQizPQtZk/HUfEIvK/zqZM5dHf6W0hnWSyGwxVkjZSGByrNPZwOG sEFE6/F31PewebYCBk8qLWV7+46aH3Vmhw3D10zeSidS/SpPcIDtBUVxpuZE St+0lQvyvSJr/JcnUcz2jgsEYnjvSMr/Y1PlNZDbO9F79H4S1fepHjdwm76L iVR+T+3PTuYF81sbDFRN31N+Hj0+yAz3WVHh+0+fmOED0w4ry9ne91S/Lfv5 IcVoq5T202Sqz3o+IdA3CHs3/vMDYZ0OOREYa9JjDxdKofadfyYCd4zYzI5p /GOXRRFINrEVSvVPoebX1IgC50Wa53WlVGreI2AzRI6Pt0mdTaX2j60UAzWH CNVWL0ovbfcQA8urK8fpjf90TidxKPBoOLnMJY28r+Cc0xYwXOqTkhaZRvom S89vgYm7dK4L5f+45PZWEPGJLijZmE7udWMES8KNZ1fkHuelU/vd27bDzvg1 y4TZMkhfhwRrOfgmU3C2TI7iyeTPcnA26WrmTYMMaj6Wfwf4pLbZdcRmkD69 Nl93QH/u26Yo3Uyi03OU5eFlzf6kHX5ZFJ89qQi79OdXdmVSnDucrwiljYnm /t1ZpN/kuJwS/G7jF57ZlU3da7JKGfQGe+5k1WeT+xpM6lVg5aK74b4Nn8g+ CZ4MGgReOGEktZdic57dAGLVUmfXXPxE5r3fZQPAmzqTpmyKdb4XIfj4JiAl TSaX7BcRn6XDyLHhLO3yXJL/0feABiisqKNBZy7JWzYVqAHOOZ9z5Kb/+TX6 NWC55LNcvg2fSd7wx3uaILrAyG+z+Uz9vqF+DxyPeVbisCqP3MNzPlILQk57 6JiL5lH3ZLLuh05umzL9XXkkP2qzyX6wdVGvoJ2mdB0J8QNw7+jIj+Vv86j3 uZyqDdlz6o3Pdb4QDl3NdQjEj4z2f3mQT/U7o38MhFz3qVqEUVyYFHoMuN6G PmBPy6d+D1UDx+AP2zGZI53/2P+mHlTmpjm0KheQffFS74+Ds5z7wmwPxcM2 Gvpga9R4KORvAckLiA/SB1Nv+TC0ppDoas3j+nCov0fjjlohlbcy3ADEQg/c 4/ErJP7UudWnoHw1L68MvYjc3zW8zgi+0GzMvh8vou4V8DCCdKvC1MtWlJ58 ZMAIXhddNcgMKKL6sGaegauuLS+1Rij/sq8pZ2HTWJSkSfBXoouluRuDU7kK Cpz6Rjgw3tccOGVSer6xFZM+fOe/m0OEj5z3X+FiMr+QxWMB33W2NBjtofQw pWAL2F7C6yAeUEzmLz9KOA9tRWNR75VKiJ+z6pclOG6x0u3WLiHvHZHIsAKO u72TfGdLiF9Z9aEVqOxtoV/zovT4E5LW4Jdf3IgaSsg921ssbGDf50jOMudS 4i8PZrWDVhHRlIWHpSQ/V1nWDi67hZySe11K+pxWOmUHYcgvxq+E8nMZfLCD v9lu6ieFy0g+l7rVJXiXccqxL7uMuvfAsD3wf1jTysxcQeYNbOmOYOj9V697 bQXZX6J/0xHCTXtKCqUqyD6uyixHkOL7+PGBfgWVb7PbCdQdzz7lS6TmL9xE V0Ex5ESUv2wl9f2nTZzBwKu0w1O1kui2mnHOcOMyY73TnkqSF7pj0hk+62z3 NzhVSfYNjN++DjrzC+4b7lK6/ebEG3DOKOp0TCuVl2gt4Qq3D6wLChqoJPdM a191hSjFR9X3pyhdoq3YFYY5nbVt2L+TfVo8Km7g+ElXZafid6Jff9ftBt4i v3izfCh2qtb1gNROjdIKtR9kv2OrtSfUarn/9Nn3g+R72YZ5wnRCzlqdoz9I XqtNrScoXVc599XiB+lnncK4A+k8stO5T35Q73Fn/V34qCkk8r6f8g+2D3pB Y+yJPXaTVF5KpMQ9+MP11FJmgdJTu43vgWrL6pRYniqi11Q334OMK0sPvIYq kpf7tPY+ZEWNO/j7U1xwrtMbmjlkgo6+ovxz8hI+MGdvlcMVS3H5Q0sfoKFe Np9PlH+xY8oHcuqaXngOVpH7MgW5fOETW1GRI72a6O9rEh9BnuWLdQbD1dTv U1vND5IHrKyMpomuE1Ni6gcR51UzTZhqcF/BD099/MDTvO7kRd4afH9v9op2 P9AyXhN8S43S2Vy9/KHCwFMgwbuG5Olw9D+FZi0bPlbpWvJeQ/t7AqGsaLcZ m1It2c+8RCAIcvayp6xi1GK/W5aAdhC80ozWEzheS97ntt77IDCmd/hJuxCd yV/cMxj6lY5z65eRvN6lyWoh8EuCtvqtTR3xl9bNvALoVC+6f7UO53tbKm8I hTsvtFzP36rD/iiJQnoorOXVG9scRPlXR98JBUVmq4rgfEqnP+ALg6tNgb5e 6+pJn2xNejjM+U6tNv1Wj9/PYVNXaQRoav8pYlTX43mD8+qzEeC9jMltY1s9 npd4O7E5Eta7rBxvnKJ0a60bkQCWmyqPiDTg+ckj9XJR4Kp5+BFyIiyftCI2 Glh+x3GtE28kfUd722NhXZn6JJJtJH2W9fDEgUJYQ42pSiPpE6e6Lw7M9i9/ nqDbSPp8H02Ig69BxuLqjmSeA933iAdfVUHVC0WN5HsMr9qdAMI37pikXWjC evzRnD+JsOvw+r3NDk047+z8PqEkOCj2YSvzTaLrSC1XTQLX0o6RA0+a8P5l dluck6BTmHa1NaOJ/L0W+T2XBG+yJ72XcjST7+EuuyoZFBfPph5LaCb5kddO poCObq7HnvRm0k87zC0FTJ5vPKSUR1i+fHl0CjxSau0Tqm0m32/myVQKDNie EuycJ3lnO+OfpEJI+/EbdrotmNsP729KA+a8A+o+wy0kT0kwLAMEuGI5Xadb 8Pxez4GKDJAxWtFkx9SK/aHGyxYz4OSfIgc93lbSJ2mLUSZ82Lkncp1aK34P Fb61Illg/hqxxT5oJX1EuZKzofS2Qnnhtjbsb665750LqqtLWB7vasP3Jl+N i8uFmKBzSqfoRI9fxVqSC7cSHoaOHSc6z3199s+gWt9vL+BOdDW96AefIWb7 C37Lujby/WO2BeWB+oBH4jL1dvJ9toR15sM1mfJiq33teP/rTWYrCiDRQbCn UoewvJaNXAFsWHgn+PxEO74vdVDbtQB+c7d4yNq047w3yYdECiFRTem4fiDh FYdabItg46Oh329GCat4vNIqhpxzrm/eT5L52m9hV4rBSJ7HIHOW8Nr8kfBi CKlVTS9l6cD7Nr83XSgGgfX3HcfWEmataEovAe7YrZMKqAPnfXxsqFYGS/PN hj/5duB7N+eH0ish4unv51/9CV/PVDGsBE0LH+3vQR34PtOeRadK8GBPie18 3UF+P395Eyth4fCSC0vTO8j3uWS56TvMtoT3HGgn+fuNlnH9gKGZttYauU68 X1uFtqYaUi188w4oduL5nA0/d1WDWx1EfdpN9N1He09Ww9q0FzZv9nbiPK/r AZHV+O/PqbkbhoQDJ4WgBoKnagXFvKg8PZEbtaD1s0zPvo3w87q3sg3Ac85F ua+bcNeA++kGaK2UEjYcJDzZGv2gAS4nPuja84vkff021N8Ar2z32wuu7CLf U9c0uhGmR/J9cxW78L3We8IUmiFiMLOY8yFhb85a/za4+OzQZks/4g/byFPW BkqaXdcLArvwPSKZDSztUPyCXfrGa+JfMOVSa4efhw18B9KJf5dgR2I7QNr0 sfwu4pf4YxzRAQ23drRcU+nG/JAtJqULwuUKdtVAN+7bEpFe3wXWLfoP5TS7 8fyW+OVzXcCk5Ib6DhJ9famxRjdIDJaH6Zl243vMlYVquuHyYWtzWV/it+Wa XdILnOujx7q7SX7h5emgfqD/d6ula4BwsP73vH6w9z1T0jnajfu2fxkf6oda ZoHo9lmSl863CAPwstfLqJmjB+/zE7boHwCZRMuyKgXCQTertIZAV0MmLu92 D/bnTRVpjMLNG+xBn+/14Lyzc3KOo5CY0nsn92EP7mP1bCxmFHi3vjLOCSTz ayZsV4/hv3dcQhnxPbgPm9nD9jGwrv3plVRNWKm279s4eF9IMQ8V68WsWHMv bAIG6W+9Vm4jzE4782UC9glExjrK9uL95+sdeiaApch/VEeVcFOE4bZJuCZ2 2fH3oV7cxzhRNW0SzNt23jl6vRf3uSb9omUK8lO3xWS7Ef2032vWX7Dp4abi rXfIvNnLn5K/oEWNm3PxEfE/HTR3+gV6wT+fxkUR/8iTQr5pYBxPjFzyoxff k4Laz87AS6mYIts64rdajH4wA3OsoQONzaTvH6HPqTOQ/t5XOqmPcP+SwVWz IMNlm3J6nuxrPyaZOwvCJdIFqVv7sK7vPqvwB6bpcd3nXfuw/mhgqdk8ZEUM PXe6TfhbY8azefBgkzp25x7hoPiS4nngrIz//NqvD+93L2HduQASZxJetkYT PUS9c8ki/OeSpK9X2Yfkk/PGXY2YUMrHtFIk2o+Y3FzoUsCCnNfP3joo0Y// /9s+XmrEgujuyrtPbyds0CN4kwWVan1847yL+Geu/cphQd11GXdS9vfjvgcq PDVYEe90Nn27fT/eH5LorL8EXd6Z/2Htl378PpzXL6UsQ+YKIqGPv/bj9/vK wtGxDOkr3njAUY5ZZ+UZplXL0W5VBWOWBpKfVPnbbDliUY9YPTpK5oWS9gqz Id8jty0LhAYwW19he74CuR1rP04XwZwsXxFZugLZH1djZIoP4PybY7ELK9B/ BlP8SXIDyKL39bFxE3YkfM60IGQv4W1DHvIrUaydpshlezL/eUdsHwcKsQ9d OeaEdfOS+t0iq5DP5bnpCy7EP5K7x2AVsrv6oeyMF+Hz9YWlq5CSm9h17ZfE H2T78iMnyvddUrupeADJT57dVn+cC7Ul5D/4LjqIyrxl39JduFHlyJLhnVsw D3tcDwzjRrlSe3T8pQZR8G9GNxRyo9DYAo4TSphVJB46c/Eg46hCn2Yd7Nfp nc+L4UG9L7769jlhts4N1B3gRbXNbONaLoPk91Yyys2HitbtPxzrMYjv8Sga UuNDMUHfuGx8sL+0InvuMR+yfFr8eCIc+69tiPKnr0Uj3qV+82Ukz/XtlUR+ 1FrCMWVUNYgs9opu39vOj8rZdfVy6wcRU/tKhgeXAErwKuO91YXzHcz9GPYC yO52+VO239gftWTdnKogmrpe+YxHbAi/h/RB804h9Ney+rmk8xC+f+sPpicb kJ7i6ccyrkP4+6mxG5ZtQPHMvXfkbw8hJpGL1iorNiKjwJlLtIdYr5JucfXY iD4XCGkdCcfzw/EaiTQRdFfk3NTV4iH8+60+WaUhitqHBgZcKjB/8VjRbSaK lNPs2zyqh1CwYBYXw0sUDereLvZuxXqXpGZXmSjSvR4dGjqB83QcXVsNNyGe 2hGdr0LDqIxjh7jl/c3IOsxRvWzjMFIwaboWnrQZ5VsvKv0QG8b9WOMVGjYj R9Y1m5tlsF8t2MRSUgw1yCn8HlMfRsEXvtTsKhdDrx44R/JbDSOLtU+Kt2+T QNsZyxfMM7G/WdJmm7wkSoyN21Kfi/WoAxp81pJIgffwkf2FWDc8GOcXKYnU +gIjtn/HeQYlk0eEtqGDPtu0x3uxbv05f8nK7ci+QTfwGvcIKhNe6Klhl0bT 6hOfB/lHkIJGh0u5rjS6Hh8wdGr9CLJYQDVOj6XRbdc2gK2YDwbEdwvJoADx Sz0sMIK/p5rWGUVZ9PGS/07vC5gVamSrvsohaFI2nL+I/TLfWA+Py6E8zRbP i5dHkPzY1qpdAjtQMb9Ew2HXEfy+2u/pF3ag5uw0V76nWD/x3O8S107ExN5U +jIXzyv2jklflkf7wkUtkvhHEROHxJGCZ4pIIZBTolB4FN/jFxNZrIhEHv7t bhTFnH7myey8IvpzrcZ4iRRmKW6RaTMl9PbIPaMT9FGksHuttPZuZcTD/PP4 /PlRFLzie2vVHxXENNPCy30R+5WfcL1WUEXDw8VVEg7Y72d1sfaiKiqsjzhy 2AXr9TO+Z7pV0bVEfd3Xj7FexN31umo3ajuTq7k/YxRZaJ5LnM6hodLjb1mN PmG/qrYc/zwNpWsH59nnY9Yv9dHYDeiJ0mV6SDmevxXG6p8GaM/qrWpjnXie +3tGdAJCO5fy/WXtx/1W79LOHUJow1/mDIGRUSQfZNaixEtHs71NSuozWC9L WtxwmI7icnzln64cQxa6VamWX+go8MONiTdcmOcMBKdb6eh27IWkHL4xxORg p9n0m46MAjRk+zeOIfn5TUVnpBlI21tudE4Mc6F4Y+UeBlL2WP92zTbMOdGV cJqB1lyc2bZbAedZ/ZIN8WKgBZPugUMqOO+XvuqBEAYaNPgeYwpYL/XtuJTA QHWHciyuaWAei7UbzGGg/D1xEg+1sD9G3exuGQMl7Q7sCdfF+X36HAKNDPRy h2dE2lHMwSq8Ft0MdH+LvUnpCex/zs+tOsxATuvPbOowxGyz7M/hnwxkfFju v+ZzYyg4xHDGeJKBDt5ivl9njueTs2f2TTCQauqP7B9W2P9B/FTiCANJDLz+ WWaH+3DV5Wv2MBC38BXxb1fGkO6rUN3IegaaP7jXIN8Zz9+1CjtfxED97vw+ n1zx/Nj4snVJDFT9oT834/YY6msbPkx7ykC5fR+nUu7hPOnBdA0HBooTerA1 6eEYErq4GOF/gIECdA0N4/3wvFPOqbtCDOThJv0oOhDvY3aJN+6ko4vJC1/C X4yhss6LAafC6Migt2LmRTi+J8Vq0e8/OtIUDNseFD2Gksse+wsy05Gcjv0Z /3i8b2rz728IIWFXDT/fJJyPVGWSTQAtf89bdD8VzwvfUPe2oqGJ7p4/npnY H1vjUqanhlr502TcczEbaOz7IbwbFR/wMr5RgP0jrd/6clVQiotBgFMx5sir PaagjEITtxXbV2DWmw2qeKKIvLv+zttU4/lapwK+LAV0dW3ZjgsNWN9opNuR vhOZ7H9pZtqK+diqHu57ckj1Hb3sZP8YUmD4+Juc2oIkOtcw/zeC52ceuSVv 3ITW8HUpHJnA/elP/6g9EURz+z6c15nBfg2JS9OynKjf2TNk3xz2l0t53RCb Bu8NJfT8RZwv+Ctqfl0i/A/LsD8a "]], LineBox[{{0.016663711974803617`, 1.1214495998501663`*^-11}, { 0.019628681609693666`, 2.006679267196887*^-11}, { 0.020242076634486388`, 2.0731150129904564`*^-11}, { 0.02085547165927911, 2.2561330581538644`*^-11}, { 0.021468866684071834`, 2.6814639397798603`*^-11}, { 0.022082261708864556`, 2.7337421215634095`*^-11}, { 0.02269565673365728, 3.239790657971753*^-11}, {0.02269565673365728, 3.239790657971753*^-11}}], LineBox[{{0.011933100943280614`, 2.5787372237573437`*^-12}, { 0.012584132174439358`, 4.0028425019045246`*^-12}}], LineBox[{{0.011041151262595545`, -1.4285461702456815`*^-12}, { 0.011041151262595545`, -1.4285461702456815`*^-12}}], LineBox[{{0.004929362547335268, -4.237143969021418*^-12}, { 0.00613399106425376, -5.1338489015506645`*^-12}, { 0.006747386089046483, -5.947775605363859*^-12}, { 0.0070541304580072385`, 2.6263435870532703`*^-12}}], LineBox[{{0.0030108407854104445`, 7.595879480959412*^-12}, { 0.0036538523432536356`, 3.2130920146755674`*^-11}}], LineBox[{{0.00012281403876088337`, -4.240842343961049*^-10}, { 0.0015077563834993003`, 1.9301715781239182`*^-10}}], LineBox[{{0.015334916436144605`, 8.774314608217537*^-12}, { 0.01567413667554514, 8.170886189873272*^-12}}], LineBox[{{0.007974176138631928, 1.1036505043193757`*^-12}, { 0.007974176138631928, 1.1036505043193757`*^-12}}], LineBox[{{0.024306314482584017`, 3.141913396120799*^-11}, { 0.024306314482584017`, 3.141913396120799*^-11}}], LineBox[{{0.009733703800962903, 2.5039526008185933`*^-12}, { 0.009733703800962903, 2.5039526008185933`*^-12}}]}, Annotation[#, "Charting`Private`Tag$36295#5"]& ], {}}, {{}, {}, {}, {}, {}, {}, \ {}}}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.99}], ImageScaled[{1, 1}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*FractionBox[\\(\\*SubscriptBox[\\(F\\), \\(0\\)] \\((U, \ \\*SubscriptBox[\\(n\\), \\(1\\)])\\) - F \\((U, \\*SubscriptBox[\\(n\\), \ \\(1\\)])\\)\\), \\(U\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.00025, FormBox[ TagBox[ InterpretationBox["\"0.00025\"", 0.00025, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.0005, FormBox[ TagBox[ InterpretationBox["\"0.00050\"", 0.0005, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.00075, FormBox[ TagBox[ InterpretationBox["\"0.00075\"", 0.00075, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.001, FormBox[ TagBox[ InterpretationBox["\"0.00100\"", 0.001, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.00125, FormBox[ TagBox[ InterpretationBox["\"0.00125\"", 0.00125, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwt1nlYTG8bB/CRkAptkoSiEtqQUubcM22E6tdKRYkWVJQkbTQpSXtKhTZt Kgkp7Zlo0yZpmzltKpUoIYTiPc+Zt3+6Ptf3vu/nOc9ZrpE66WriwEWhUHIX USjo/0GHiTfMDw5AQX8/j1SVe4RwHxlSo+VhYX0iz7SqehUmk73P69IMB4Oj dxSpV/GYKJcXLxyhLZW+8YD+cn3VodaewuS19jSyn1Jd6SBtl6bz3JG2oKa1 tipipLKs27v3UpsLTTSUa41nzZ3KyaDO2hPx5/9fX1T5WG1h57yoB+2y9bvS jRfeVNZqi5e8TPLk5PQZqnZi67GTrV60s9tWqL++856axGWbK5Ph+//+TOoq Qw370GuXaardqJ5J9RBkBH465U8rt2vpG/o3Qv1mP7d4RDSAttJrkafo1mHq Pu4wg7mlgbT88Z9hHWfnqKKq17Uj1gbRXKb+/ft3fIHa+J/2Th+ha7ThlODn U16/qQdX5VGrk4I560VTMKqt24NTQ8E0/uKoghRdLmzfePnQ5403aGlJYae5 0kQwFxubwusnQjn1cmuxh6mGv72Ew2jft3ltiH4lgR3vsh8RCIygCSxdH/g1 RhazqGN5HsiJpLEE10yE7pTHTvKJhJVdjaIJ+1cLq+ooYx1Tx5m4WTQtohz2 lA7vwjwfKcce+h5Nm3wnjGmo7sEUltFK29piaNetDvOyBemYuXrbBabxTVqo q7GqP0MLm8yqWv615yZnPzt0sTrrpXrVXrEcXz6ANYfcfP6UFUsLUui9GmOg j5XG13PL2MbRfp3qDdfaZ4QdvjbEtfnoLbKeMWWGCexROVG8LJ6Wr06/OZBn gfF/P+9fkRTPyW2OYeP55VXXsQSOHWyxA9JRbnyVCbRd1pFlYHwSs9L1NksR SaQFdLwzcWuyw9gJQXr+1rdp7O3xRcvXOWGm4f3PSpm3yX6mmgtWa08137xw m+aSH3iX+vQstnz+3C5jrrtknqbujo0+LTm/PoNj22gP7Lkz5fEH7STS9N2X sDubD0wXj3KcttIH0/kpMWkYm0xzXO8iXxp8GTOOZTsZyqaQuZElAwvaYpsg +ziFtvSr1irvnwEYz2KX8bFTqZz5B4Mwd2v2TUvuNM75hQZjjhJdG0WwNFrD USWmyL4QTHayYufj/DSa0hGaI/VjGKZxfv9M2Pf/11+PxFZvjVa0iL9HWjng JrbHt3nZlpF7tE2sFPWrtDhsZqjXRVotnbPfA/HYAHUhLPQ6x40OiVhzotSD mR6OeR7cwUpndZsOy2Vw5osnY6+MrxusvZRB+znFG/EjJxXjOqKfUaSQSUtJ KCzWlMvAep9aRJZfyKQlFNP4DkRlYh3XXD/gDZlkP9U6G/OtNTi4ZGMWaQnr HEx6sfwDRU+O0wLysBZNXn6LVo7nWvKxi4wJlwDpbNKnNR9h9QuZip0dHKuY F2Ku1MCoha33Sc+/eYqJ+Z6YkQ3gWPFUMcYsoxkb9XLcu7oEOzO3vtBbKYd0 zmApJqQ2L5QRzHFQXTlWfpF9oaWfY/FXlRj/t/jdG8NzSf+KZ2LFOy7G641w rPSqBrNxM/15XiOPtB//S+zR1Kqy2gmO+ZrrMAv56bXTtAeks/c3YBTnFp81 CRy/623ETCZCqE66+aTzqS3YH9lTybFJHC8WbMMyHXT/Vn7j2HjhNfZ9eBFz VfpDZAa/YAeWIjUkqf6LYxnFt9g+2+qAk0YFnOfJshNL7PfRLv5LmlGOd2Oa EpaZA+aPSHfu6sUmrdSW8DwkTdmUxMI2fPK2e6jwmMypqX2YO98HYS1L0hSt vQNY/TaL2u4gjms/DGKuZ1RlKH2k6duY77DakKyuuGVPyP73RcOYWI5I8NZd HK8oGsGYY1/HTEJJUzTevseE7B/lZO0pJPPQlEnMMXCDpYY9x2MzH7GK9Ijl r6M4jjOawuzfOTvNjZG2bZSYwUopuHiE0FPkob53Mxi/5MFmKSDNdC74ghXb yMkfusXJ2TbfMN4rCX2DTNKSW7VnMZvkpREen0gz3ih9x5b2jU4laxeR3rT5 J2Zhee/RzBfSkg5ef7DPuBlvungxuf+BmHks2IbHwVSbtOTBogXsqZ2r+LM4 0vQLvBQ4OLbp4qkq0kPPcykwdLr7tdgYacacwSJYeQ675qv2DPlxUhYXZM3M DMrbkjbStlwM1AuZGgMhpNsPCnGDkxffDJ1NmvEtbgnUXWVZLb1cQq6nPMQD x5ZEFJdkkRYwerEcvl6nC5xpIz3TkscLkhH365o3lpLn5xvFD34JF5VjXnBc aS4AwuJbw7Q+kp6hDQtAXlLf+2/CZchywe6C0HNP++5hB9K9KSlCsDNfcKkE Tzmyl8KW1fBKsc62VZn0Y9bb1WD7xKviiiXp3rEgUYh4Nuj2Lo90osfsGphg PsSzDSrI86zgWwf+2idULTxJn67pXwei9SIxy1NJ53QXSYB2s+8+lxnStuHu GyCl68CTHbGVyNFH10jBbosFvpEK0qfHbklBC/uxY9woaQ+LNZvg1+AaiZ+7 q8jzlN28Gcwm3wdX9pKO7jguA3z/Ao7t3/CcvJ7t3tsg8cwRG/l9pJNYcttB ulPeVvAc6Xzpvu0AuT12eBVpkQYDBSjLjS8uUWQi651RUgbK8QDVPC3S9d7x yrBPxKUk6TBpl5v/lOHtFc2ygCukhX737IAp00+Vh9pIT3un7wKV5T0YDHP6 74mrgE91TbXyD9LDq26pwLKtCczVG2qQHQejd4PUX83awbOk03dmqYF5TkLz hRUvkA3X6VEhyfqqvqMUaebtCSoMC51ttdhNOm0iDAPXy1qvMWvS9HU4wA2T qY5lD0mvc22jQ/uyXtPfTNLgvk0TRKtedH7qJH12cYgmZGxJ7H4zT/rWyH4t qJrXYt/Vf4msKotrA3ehwtFIW9LD0jo6cPCUWB/Dg3Q3q0AHet5M9TskkS7w vaELX7IT3yl9Ip26w2w/yBhPT7wMq0V22KJzCMT992ucukd6Nr77EAg8TAvj LSHNOu+sD795TBWNh0nPXE8ygHZmyYWBPXWEGYGBK42gblqgLsCQtFnHCSMo l3ASlbFHpuy8+MwIsrwkypyj6jj3184YfJQD/s69J+sHl782AVcb9n9Jf0jn nlYwBfvwXfdogvWo3nVvhCn8N/FeO5iKzOAxNDYD6bSDN4RjyVwo6aM5tK0S EVGkN6D8+h0XS3iJnXV4Y056es+oJZQ61z/zcCYdHW1tBRkNXpYV8ciUrsvm R8HLvz9Fb4rMe9qtrCH62Pl3tbRGWrb1urQS9+Ow6XP2Vrs7jSiPLR+0hTXr Kb5LHyPTrzpvOwH8hyxbcutIf9ngeQJ+ZvO5zswgM2kJAiehxcat6PL+V8j1 wiZ2cKlNnZY4i0xZ77XcEVYqFr9/xdOE+stNjztCZoRy+B8JZOY2lWeO8EZ/ C8tGl7Qm/6lTsL1Z5IJMPOlHh7tOw2DD5+xCtWZkMb0xZ/Dc4mwweoi0iK+B C/BfH/u22haZ0tRd7ALq+/rp3iHI9HzB0LMQW9vEprGQGc3ddFfYX5O1stWn BfXjvR7nYUBSqvhvJPJQnW7hefBgJB1VziC93mrmPNyjxebENpPmv3LOHf5U MbSsJFrRegFd7hfgUflRz/Eq5CErPOkirCkSHFi06DVhSdu9/j5wLPyP2ago Mt1cEfeBdPv3zfXyyGmXRff4gvzqsrIwC7Jer3XWF7Q8bW+tfow8tHaJz2VQ TTqSHafUjtb7G2PFAMuQlnfXNJCZ+5OjGeDnobn+ki6ygNyOBgbU6G+PszxK 5vBjdwDoL/wN2HAdOY21UvwqnLDJts4ZIN2vvRAIQQfX3b79AdkoVocaBNmq 0Z2hs8jRFn2+QfBppc+hs7xv0PyXnfNB4PncQH2nKrLte66lwRAu+V2kMgKZ +XGzagg8G9ZueU3tIOzWyC0SAd16AV8i9iNHj8s7RsCPgmpRfRNkW//FZRGg 5qt+ovEUMjP7uW0klAor/WDeJC0YURoFZTrikoUTyO1Tm3RjgJ13RNftG9mf M3QhBn4L3HJS/It8umM+PQY0+lcV5wm/RfebasJ1E8ovLjmYAcjti67U3YTK 7JkLcXHIcz8xmzjo41e8bZKKPOMnFhsH8+7O1QJ5yNEpFo1xgNHGeCKek/MY fCq3oLoHT742SVpJTyAenvM0NHjSO8nvD6MvAV44Ja+z/ISsx6I03IWnH5yd bX4gJzp+5k6CzNMaFXaULjT/qpZ2Elxz7LE6J4Ls1rCmJgn0TgreCaQiC2wM qUmG15bXxArCkS2+N3elQp/e2dWLFboJ77mxdks6tDbsdeBRQxbB8/XToXof b/EKTWSzskvu6ZCqc99MzBy5saKoOh1O0t/FKlxGDpFtt8yACTVzIYtWZDmf gjuZ8F0WW/XwbA/qP7FS7z7AsFZDqBeyBdz3ug/ByXr+pwORBdjBufdBVMTs 8+bbyO2/xflzQHWR8+s7tcgurnc7c8ALT4wKWddLmHpD8kIezEfNrrJ/hSzt rz3+EHQO/W7Q7EQOqfsnWQDhSymMjYPI9FPLjhbA+st8M+xZZJddv14XADht ajeWZKHzlXGqegT+OkbRtEvIHrX6bx8D168HAutk2IRVpJ1ZhbCuVesbTQl5 qIY1Vwgq91hd9urIjR5OYk/B4cCyuwUGyJU7vh55Co23T8poeSIfy7jb+xSi NNZqnGkg+92shopAwi/YruQMjlyYtLwEjIbWtknc66NVWkU/Z8VUgOo/22em BX1EbqMi+rIC9A2YV3VLkRXpBycrwO7uxv/UXiCfLE0RrIRotYFx8W5kan2O bSV8cD26dngB2fMgnVIFSUPmfm4G/YRD4y7oVsOiFwe1Ij4hnxF6dYEJLUEq bfXbBmkUBvbrivZL2Bj98Vfu9BCRyzYOCjXBx5+DA13KwzQK/c4jVkA7ZE5W NK2MHCHyi5Uyhp1wLuG/zU6xyFYaWcc6QU1nxLcukTAznLrRuROaknkV/DKQ q2y5Qjrhi5Fl1IdS5LsKV2s6AUp+mNaOIL+t/W9XF7ACd/R7q48S+zlPPS7Y DenKdbu7gDB91dVfG7rBpd8iUlmHMNOnKVS+GyhqDNq4IcqlZmL2d4PsZNs9 M3vkOTuly93gYeTiqBSFrOoeMdYNK9ff/zw6iub7xfM86QH64cD+kQ9o3kff S5U94B51vHl4GuWBx/GGHuheJHZ/aI4wZQczYKAHUsZCbPr43xPu0dzH1wuK j51a36oQZq4Uu32yFwy0FR+8CEIuda9cxoIrfry3a26g+i3KSYIseFw8FsyM JEz/OXp2HQtE5FJPVieiXK9zTJFFfE8ExMvzkQ22yJuzwKX7S8iTTlSfnvg5 hQXhZ4od06THiPlH0wpl2TBJfxjCt40wXVzMUIkN+8Wy8jyVCFOmwrrU2MDV EDetr4Hqt325r8cGb2kPz1//oXqPi0fOsMFxcGewiS/KI8sastlQ+2xbThWD MENLbnUBGzZFbmqSC0bzHJ7rF7Ohnyq08l80cs8375dsMLvz5daDbNTvZflq gA2a5o+zuDtQv7z7ZkEcUuRzGlx70HoPZZauwWF+cdoHdh/KJTTfSOBQWhil 8GQc5W1aknI4KAq4FlsvICf5pWA4hI879jRyjRPz+71rtHCYrLb5tYsHGV/W sh+HrLOGGK8wYcY5lwRjHCSaFeqeyRGm1Plw2+Pgky4zLqWIvEryxGkcerzX L4/Yhdx+LdMFh5tyKwzsgDC9XH7QA4flwZ86V5mhPElGKggHR+vRHz6WKFfk e3Idh1qVPrExG5QHT8iG4cAYaT5WeQbt56NcbQwOP+gPRk/7o/10ib9IxqEy 8+PdS0HIyerGaThc5ZE3Db6B+q9wv0rHYWV7fk1GLMrrTNzv49C5a8qrMBHl Vo8zcnG4k6CgXJOM1s89V/UAB9njBSkD95HHX+Q+wuHTi2nzqXy0vpCK3xMc CmWVVsw/QfN2VKo+xcEr1LWWtwRZ4QCriPjBPf3Id20l8udGu2c4cJvM7JSr Qf23t3aX4NBUrDypWo9yC0vlMhwOX35iYdaO9lM/eLeCON93X1bZdaH17YQf VuIwrLOz4TwbWa89qwqHnBz3K4xB1L91SXA1Duf4n+6OGkXzBe8ZPMdBxe3b p+QPyAKx84R/v92VmT+NvKfpJhMHpprH0YpvaJ6AqkANDsF3i4Sa5pA/1HkQ 1v83+6p3AdWHnGESFrLbHTDONUHsL1DgG+He+ot7fiwjzCjN439BPH/bnn3m XkGYSZdbQdg+8ke2sBDKJb1nifptX1VtNq0hTL8X8YLwjPml1TskUK59+BLh 4rKSFpoUss1LIcI+6+cCDWWRm+viiP3SA/bstd6ObGq4QFzP0vdeX52VkfsN 9Am36JXl+uxGjikOIM7jZv4v2xsaaD+xnsnEeVkIaIgl0lDueTWVOM8NHj6v s3WQA5uuE+c92lMeXHwAOZd+uByHvL1/sFpDtN/wbl7i/ril7v3eYYquX/VK FnH/VBf75b+zQHnhVlni/s47VtrNWCMfbQ4n7v+LpnnxfyeRM81ZhTiEKGId K06j/QhU8BHPj8iPKvp2d7Sey7DUQxzYln9/ql9C83eELiGev7QqeKTnh7yM 1ZaDg/y15+sdg1H9InWhTBy+Tvzr9AhD85x2hN8j3m99enhgNKrfmvoxBQcd kZrfaXdQfXKe1W0ceL0WFT5KRfVNyk7xOLTjmmeqM5FVFmxicTiW8aIHL0D1 p/bOhePgsbO2SPQl2n/C2okrxPupIpkW00iuH9LmQ5ynql8YfxuyuNItTxz2 aqic5GKh+vzZF2dx4NLKXDU9jdzJk2qFw6w25c/pWbQ/zbFr5ji81z02NvIL 9d9I1jfCofGASBWL+wORl5zz1sUhyjjIqU4cmc//P0Xi/TcdMqdLEmYe41ch vl/u5lTNChmUh0jPSRHvj+XsmifKhOkmbzesJt6fE/Z1SfuQn+9//4sNeW46 kh7uhBkvjxhVsSHJPY3v8yXUv33NNuJ7G+Ex/+PMZZQzfwzns8HNq6j1eAjy 0yVf77JBjSHteygFzYv8E+RFfL+juLs3NaF+ySV+29nwLMa2Jvk1sqv9Pik2 5MRW5ot1of66ms+ibAhL8AhcOYTM5z24iA0mqaPKv7+jecvndnazYLCgNuyN 1CThrbvzvVjQPsX9aecWZLE3aS4sYMrr6sfJE2a41l+0ZUFaXh3/ETXkSx3M /Sw4mV0f0adPmHJYuE+EBWPJjVHjl1C/oZVCbi9MhbfELrSiet8Iv/IeGGjm n7V5i/IHJ8LzeqCN18CM2UuY6dt++U4PFIS0igSOoLy0YolPD7gFtd3i+YXs EPFArQdmfdsThKU/ovffxuZhN/xx6ry71Ycw0+rTp6tdYKZqHaPoj/JdXNlu XZC/aCx4VxDKD43us+kCm8Sf57FI5BN2dPUuqKkT1zNOR/WRFSLTnXBd8sSs VxNyotwR00648nM4vaMXOf1slngn/A8UDWRn "]], Line[CompressedData[" 1:eJxTTMoPSmViYGBQAGIQzdBvNtn18Wt7hgbuopcfLttpO7L/S9v9xp6B4VEs r/MFuw2rVqvfOADkH3g2aZrmBTsTkYBAz2NAvoN5OI/ABTub5zOWaF8E8huM ttXsPG/n16vl/eEZiM8n1vLqnF3RTd8ZlUJvgfwj0965nrXbWTjFqCcTxL/2 MOTpSTv3RYrpG8XfAfnlTTWPDtmZzOBTOyYD5DO8loxce8hOoe/3k1uKIPni SoOKQ3a/Kq8mseiA5JetvMh7yG5tYGdcuAOIb7XpjcVBO2HGj6F/M0D8XJX/ svvt7scfcPHcBeL719jX7rA7E7qWOW4/iC+edEN4h90O71mHio6A+BMielZt t5tkXuIw5xyIb3rW68Y2O1d+DZv3j0D8bVfdTbfard7XbzyV+z2Q77yq9ttG u3LZeKWHMSB+goKS43K7pACDsDuJIH5b9c66ZXZ+zYxd19NAfJ9nz/YstVN7 ufjj2QIQ/1iksPUSuytbXhzY1QLir/utbL/QzsCnKH7KGhB/irvqlWl2MvXO k/s3gvg8EnppU+3YN4kc79oG4n9I/vtzst098e16jQdA/CXSauoT7Xoe//6b ewXEF2DYYNRu96KqdY77HxCfYX5Ekp9dj9xphyP/wfwD2uZ8dgBLGOPb "]], Line[{{1.9999313164611916`, -2.761679773755077*^-14}, { 1.9999999591836735`, -5.195843755245733*^-13}}]}, "Charting`Private`Tag$36295#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwt1nc8Vu//B/CbZERlK0kqIyV8CJHzPkb2KKFo6FYkJIlkuyWjkL2KkJFE SdnrLkQfW9kjK8nHuAulyPd3X8fvr3Oej9frOtd4XH+cvZecT9kykkikrQwk Enrq2053Ur/ZAv2VRCFHYBVuoUxnRpXw34v2btyBt7G+wzOpni5auEeY8xCn szPGekq2ovjvGZx6uqBZQ84AM2jtLUrdaYOj8SSRndW2opfTj9deweu600J/ 6mypLu/x7Lvddg2faGbJeHF1WXXm7qd66wSXjT5ptKpQ6a/cGr8bPpX18CPD yIpqvaZgaV2K+//n/JhmUuv5S60e+JUQr3W7bCEshZH8TCzTeyMnS2LbjVVs 7gf54mqWyP9gblyUwFk7f5zxlUrR94/K2KLNyqYJ/gA8oTPNmo9DE9NmCjNa YQ7EF5nY4kfYTmH8iiGaETvv4gtS9PFt5ljTCU05L+4gfGeCWK3Rx/OY/vY8 1ZqU4I35LGwwVfKN53ajwbiLFnllosAW0/5aMbqw5x5+rLkl5s5FF+yalVVR iPX9jb6SO1aQZvzHgycMf1Hg0PHTzhO72G0zwRkYgVtIHhBwCQ3ELBr63fVy H+CPQxKermeGYJfYecPK70Ti3xjyNOzYw7CuuYvUQbMo/Pie32eNZaIw95ey sQbLUfg1lgvn9obEYodZ8LK2tmj8ZfQ2s1SmZMxcuc2VahKDy84nhnC/TsFm sqvZfvTGEOsp9EnHGi4w69Z4xBIetcvEmkNjal/3x+KitRZFYJeNlSW8ZxIj x+Elknn7o87lYqeDRhn3n4sn+lH5LzDOo0esi1kS8Amem9ZDY68wjmUX/8qU hI39mr/BvuZXVIdgiYTLtEsxPdHIG+xViTiXubSJWV85dlbL0+wxbxJ+Rbkv XreuEhtIvKvrfyEZF9bx4d45+xYzDR8uKaMmE+NVdeuwehtV8/1/k3GfjuY9 o7L1GNvadXkTxkdEfuBcEzb5utRld+aGR9WbsVpHUuE3zRTCZk5t2MP9evPF kxsep3Vg5j0Nf4xjU/GfbXXlXzk/YiaxAw7G4o+JfH7gE3ZXgpwoXvgYH8hw OHajtgdj3XTt65RdGpEbu/ZjNy8MxFgypRNWZBnCrgh17+HF0vHjZ2S19/0d xsRnKuUK89PxVqVZrimOMUzFRYcWtrzR7w0Yx/gko6QtEjII2/BNYUe9m1kk JjLwUF62gd7fXzHaaN81UaUnG+ctPYONqP4Nux+y4RSXWaw5ae9zWu+GDQfn sbIlrX9PH8hEppSW0LAPJiFGO29n4qe12Pg7tv7AGM8YZr45nIUPJPteT/Nb xvpeWzyocM3CDShXO2Tnf2JdQc7fBhuziO+Z1q1g3vVG+pv3ZBNObPqDiW6S ei7tTpjiML+Gtahv4bBo3bCJ4v+wW5TpawGiOcjU/zpI8P5vlvSnLsKkX26b wFk1MPKv5FNkteFJJtjhbU0TDyBMfW/PDPYru4s8ZXIJS5awAbfSGndmMGGK rT87VNwacG0Z3rCW9VbgWExQ2BP+DDnduJwTiv+5laA7QZjC1sUFVjdMf7mo 5CGLbP7NDS/ntpfXTxOmfHXlAwup+Z3z+HNk8kgTP5AcW7wEEjesIb0DTk2H qjpo5RPriZfaBavidqmxKYRFit4LQZat1nrVImG1OFdhWB5noG5/UoDMycW0 F5KGvTSL118g39AUEAN1IcusEfOXyLL2R8Vh5qzSZtYCwpRkWwkQnvW8XHC4 EPlk2BdJuMn+jUfDkjCZQ/kQvD9oUd9zlzAnz0MpcLZXFCMNER7VDpaB+tDs 7jiWV0Rf5J4s7MjlDZaUJzydf/ofoE79mDp1n3CuMZs8cNu8zM0+WoTM2til CFcChS1VbAiLmA8qQeWTCLb2SMIUlbmjYDPm6LAyRTiKJH0MykiDghHcr5Fp Fy6oAoeIfvNeIFy2NRGDYqsDUgbxhCeP8KnBFr/Eoc9UwilG79TAKpU5wm2W 8BG+W+rAPDQ5l6r5Brnw2KwGWFhmvKR9J3y+W1QbFgbNtjwRLEb2ObukDcFW rLammoRVOz/owOvLzoIlcYSTuEP0YNt1LMhbqQQ5ztvYCLJptM9SZMLkPSbG oOqapTISSliq9uwJcPBgp6kNELahvj0JDXf6zzL7liILBwqYwvnNEcWl2YSr qCWm8CNEjdO+bSPnPGsGIhFPG5r3lBHrlyswB5/EW7LR7wg/LAuxAB5ByTCN /wiPvNGzhLyUoS+LPOXIU7acZ6E3Q/PRaVvCuar550Aun4tZiLUC2Utc5CJ8 kG4gt8oSTt6xmQzkVx6VfpaEpzt9yBBR8vnGWB7hgkg3a5imFgzmGFUiz90L vgz+mtaKFu6EdSncNsD/njeaLY1waniGDWg2e2tfoxHuEPxgC4+79V79E1uF HOSHXwUFi7/sE5WEJ+K+XIWWgcIrcZOE90tF2sPvzwJCvxSqke/xzTmA2cyX 4Ko+wsG23U7A/r+A8zrCtcgHA+VuQpL9GSspbcKVdU9ugugnKTLXdcKPJfhc AZ71Xh6sJnzfg+QG5c8SikulqcR+hX7cAtLFAMU8DcJPzd3cQZv3WmnKaWTK 3PcVd/jop14e4Ec42Z3NA+ZMZ6sM2oh+TZquFxxh68VgnLDDxIgXeNW8rZH9 Sbi+/bY3sEgmUvmE3yKnvX/lA3vX1es/OyFTFKR1/ME8N7HZdes7uqn5gpQ7 kHLhjuGVvchqfsXjd2Cc26nVQoFw8XftQHD21WjHLiCTBC/z3oV7p+a6WAoI 51TXBUEHS5/pHyph+CUfDPzV7z7NfkKmfF/LDoZMiaSezjXCX+5EhkD1msbA I8M6NL+YgOc9YCo6fO4BGVnt5omVe6Bvt2OI4oZMCgzwvA+9nXPDtimEX8wE hMH3nKQxmVnCfz2fR4CYyfx0XVg9+j74yUeDoL+Oil0Gski7elg0cBakh20p Rab6OUxGwx9WU2mTcaJ/c+1hDHRQS11HjjagvkzqzjhomOdsCDBGpqxv8o2D CiEHfjEb5FHDxbE4yPYQKneMRCY3+xbGg5dswPrKF+T0gw3kRHC2GjiRsopM Cv/RkQg24fIZONd7ZPk2jSQ4Mf1FM1gVmTqXeSgZRNP17/HEIqvlmHE/grbt vLzSao3IUnpH06AOc7LtNEdOT61qSIMyx/clbo7InFVJB9Mhs9HDsjKByDsF q9PBw3/4se4cMm3qyXwGRJ13GavHm3A3Wb3q0YOZsG8hR/Lywya0vyHD4CwQ 2E3yZi5EPlnhMJIFHAaWLc8akDm1y5Sy4VcOuzONRnh+fi4bWqxuvPHV+UB3 h8t++6dwu00ZT1pClrW7m5oH26SLv3xg/Rf1g3sYn0NWhGz4qhBy1LyV/XPo NJTot9JCTmcQVsmHQ828rmIJyCc5cmYK4HPjQk6RUjOyskpDIbhLOBpNGiDn JmoxvgKOkKlFPjLyCgOT2itQ1h5W8wxFpuinV7+C2Pp/B/B+5KPOgW+LQOdt 9rZWrxa6Q+Mvzb2BEZG9xesPkFlvWysWgxsl5ZxsJnJT12FKMWTgsbmxzcij NAX+ElitpmicFWpFfQkFw1J4WXHO/Ws1MvV64Fg5CLzhGmFgaEfn/Se6phbO h6+aTfIjtxwq46fCE5svze+lkEdX64ypIMVXXh5mgUwaKKFSQcOdHM9XiPzG WSb/LSimnMmJk+mgO+lPxpM6sAxtGQtSQR5iokzWgY+b+u7bWshLrFwS9fDW 8FCc5Tnkqs8mL+rB8O96gHAI8uw1j4YGsLbKuZA7QvQ9CwSa4K7+ruTkb8ik fTdsmyBHMerT/SVkVsP1100wu83LwGlLJ8oTA00/gHutkbKcIjJr9sWUfyFc ZJm3KgKZLNl1uhVKxjVb2lW76N7Cal3dCT26Ad8jdJD3eed874SfL2r4DU8h 0zbZi3eBkreydZMdsvby1eguKOOR+UmNQZabd3L6COXHBUWKppF1u89DNwzk ndG6sUj42bhXN/zhjHeQXkd2S1gq7QaV4e3FeTwf6eZ/SpXvof9vbdbPBOQj JnxyvVCVQ3ONi0MW0Y/R74chDunkU2nIulUmUf2wdtOxhjMPeYRS0NMPGD7F GlGLLH4MbAegpncwNWgGOd9o/N4g1LI2NrqrfaJbf0DixzC8c0jdZTmLLO+g njkGr785Olr9RFZ/Pt46BllXVSovk7rpTn7auzIGQVd6z17nRb7eXHNiHHQv cT0MVEXOfx7JMAHtlkE7XoQjL7fn35qEIV0nvk2He9B9+uie+RVaG4/Zsioh /xsf0f8VarS3FG9VR3ZtZ+WchrTjT812mCO/G5f2m4ZLamOxh32Rg47oXfwG 00rm3BatyFp3FBT+g2VxbHuBUy/dMdPr8gsA4xqN9z2Q67z8fBcgOFXX/2og cojW/cYF4Oc1W9ifjPytO0uaBooMju0P65GP/q5ppIHHYFJk6K4+uj0PlrH8 gLXIpe02H5AjyWlvl+C4wZ9G9U/Ip9xnF5YgnJlE2fMZOWYqXHgZdvuy0waW 6KZwxH3wWQZw2NdhItJPz6MvAfYT/I+fjMJv00053ubR9gsYfz/n3CU2QHfx QwuFVdjVqrGIywyg+7kg4LgKRzL6u22UkZUCpTJWwVaP5dELI9RfoZ3etgZN yZfENNyRD+RXzq5BpMpOFftGZCa/XRXrIOQTfLnUfpBunog/hgy4wsnd2kOu dKsdZI50YsCNRd8cYPCjm8p83ewBA+7fMjanH0M3ybv/ZgcDPi6EeYxUIMu0 bzrDiD+rXgzfzDFE7/fNZjptwskrOrkLCcgv9Vavbsb/D4Di7m0= "]], Line[CompressedData[" 1:eJwV1XlcjN0XAPBpod52SZtQWpR2StvMnKm3lYlKqKRCi6KkTahfUwbti3hN VKJoxaAyEo0albQhEakotGlREpLfef54PvP5fs597jnn3ufeUdl32MWPn0Qi NeBD/Pqvm0x8Vd4LJFpgVw1nCey/tGabST2aoWSjKbkUMk36vih2o7ljv994 LoWRw7sVPv4h4nFBDb+WQu7AjphQx/cYf5A8TBMGvvrNVmnjaIbN/7p/iIC8 VJlE3ByaJF+4SV0U9Lz+eRdK6kOHRr9wEQWPX03hrjKExxYf3hSFyg0211aS 0dz9fEGBYuBfCMJlKWja1VnLUXFoZRq1N67vB9KApFBJmhSYSz7jzzImnLYt sUwKSnL2muymoRkdBzKapODkzfSCyR1oEjVZmn8ZmL8ZDpOPJ+JJXyejl0GJ dp5c0Gs0V015bYg0WI0ksJdaDWC+fG2TozJwTK+95aAdmvE3XCdHBtjhCp86 6egBjgP9gQysXrylcGkX2ocrLkZaAT+l3yfoB6O5lwUzUlYAm2yyw41FOCG3 pkwW1mSO/SydQBf80+4togCP9saV3plBK9fwjPQVwGvjcvcH84TvnjN0VYDc bnNOK/8HzB8uUpivAPKrkqMmZdHcUocAY0WQLtOcMQIiLnqIGbQSlvD8xusy CJvZJcysgrEf/X2vDD4CKdNi3e3HKlAdkFG/eRO6uTWF/k4FGK+p1+ss0MNN K/m+q4DsvbzgUlt0SVJjleZasIravRDjSYzPjnLMWgsXZ7sV1BLRBzJ/bgpQ BfvpNtewfvSbwfAxdXUoGn3QIpE+iPmZd2u+akLIhW2qQdlo0if6jJgWmFgP nnjCQvukX7XS0YKWPBHdmEI054qV+kEtmHZyzxjhoNmk+PkRLaDem9vOGyTm O6XUNLYeek4avj9mNoT1ZX8+8lcHJFYVTw4NoQ8NFzLZBpAaWOVfoPYZSFO8 slhJY5ijlQ8diPuC9VLGZTvMoLZo7NJRJpoupD3RbwYJwjrbTycRXh1fM2UG Ep0Vjwuz0aTNBYbS5qDhfTO/rxgtxenOdjWHnbG33Vw70dZa+fPd5lB1/14r qAwDSSfY/H6nBRxfNX9yqwaaVrSiud8CaPGmFnu00dZ6X3kTFtBqf7/0uDF6 PjL3jBgZhl7XnK5yQLs+IK+3I4PM3EOadhg6WqT+BocMERt4lbINaHJUx1gy BfyNlAuymtGs+gYbFgXcNsWkiLWjEzli8dcoYGFutI+/B53banmxjgL8VkWS ExNoN9Nbjt8okOHMDHqiOAIk36LUg85UYGwf2EFTRnPFK257UiFsB9nygTq6 gnPxZQAVdrrPyt02QJvGxpbGUkFpr++TXFu0snFkdjEVykKtlSPC0LXK/0nN UiE3rEB08ihap3vNyAIV0iIW5gJj0fS5xgtLAEKjK9u8E9HNWn8iZQFMGGon tuSjhS/OaG8C0Exg+DcWEvljtpdTABSZvc6WpejouxN/rAEWz5zTNKlEd7n7 rdwOwMsQ7F7bQvTTukk3GKA6y+dxXgea9NSVHA5Qkl1bIf8KvXC5ZeUxgJQL ESclBtBTWfTNTICYnM6QpE9E/5oFrCSAkEs6HoJjaIP/3lalA7hcHjL49Z3o 51b2bhaA9RWaUuRvdMlhj8FcAOPCXKEp0ih+/0Ys0ysA8sWufZ9E0eeURDaX AoiUsp/6LEMzjc8suQGwUCZW9U4WHWEtnsYG6L/JS3mugqY9alqsBuj8Kji+ YR0xn7fuu/sAXB0b+jkdtNTiamYtAPvgqYrvhujm77Y/HwEUlD0R22WCPvRi m/ljgMyRJcEcMlrQaci2ASBe07ZNwQo9u+fW6icAYQGndU/Yoa1VPB83Auy7 3pjWS0cPzJ3Xa8Z+Py2doLgQ8Shh/6cA/6rZbb28C80O9w5oATDaf+YmaQ9R j4DdhmcAalebJPbtQ48fO9iIlvkgdLghgOg/7JhqK8ASZfsOtWC0QfsqB/Sc V6L+6TA0794SE/TnvOaML0fRrtf7xvH97l7hKftYdK/3ziB000oHp7IEtNqC 4i3Mz/FIYosmors+v63B+kpynkoFpxHr8dE6DetnvfnnSPtZdKKYsEYTQJLc 5uf6LLTS+5dM7P/4zmTDrDx0q45bKa5P0PmWrG9X0fPGNtm4fh5dIt+2lxD5 L2yxqgPYsnyLS9UNdKa7UjWuP9kl5Y7sXfTQ+IEJ3B+drGfS0Ry0qeHgKO6f UqdoeM9DIn8UpfwugJgk/aV5A1E/Y70+7vfX1NbsP23oBctkRglA3zOxWa+X 6Nr3vo5FAO0ijq7cN2gZ0au9lwFuJrbJnBwk5g9SsPwPIL9JPHJoGF1xvm5F FkDG0q2vbCaIOL2gPAXPF7P9vPBPYn19JhUYAD4NEnOBi2jGxvZp/P6d+bft fCYwhvsR35yE52MDo0M2XQLdLP9j3g9g9kTnheVq6AV2ZasdwFCN1HyEFjrz +mAeALz66eTWrYeWUZXQNcHzdvS5fI4ZurLFhakOEB3+Imf1NsK2bMm/VDhw R/pXnCu6d/7ZU7wf3KddPD64o+cNp2GUCuaHXyoW+aLdAkO8u6jwO6jrktZx tJPvX99rVHDdtCdLLw4tXFjVmUOFCr7Ppzcy0WqcJ3/TqODF+nGEko5WukAv jqTC4yeK9s5X0aYz6XJWVFDMKqTsLEZP1ZbkGOH95qmzcXcFOtH543sNKqjN UFb7VaN5dzQqRKhwRnnvbHQLOuYaeHZQYGBsZCS2A+1zOm8M71PTe2H9CV3o 2kYZMpsCo47MltQ+NKupd00mBRxPFBcUfEN7yg5N0imwvPsrvVlxHM/zR0Ze DRkOXYmyaluDptstbigmA+/QX5MXaujMXvPEbDJECSxT7dVDK5nVHTlIhh4D o5+TVmha3QuQJ8PllOPX5A6iK1IG6/0sQNtSaNH/AZon2Hmi0wzYZeXr3nDR bPOWyjtmYCTj5OzQiO7q1Sk8ZwbkL6wi7edEfKS+YJcZbE1bv2XqMzp1f4fq W1MI63FkHZP+iuvLKoh8bgL3j5zbkBqIjv4hpJFiDNR3pp5/QtBGzh8YvsZQ b/3+VEgE2vSb90WKMbTIafQ4xaGdXquKThpB78N7cSvOo7luDtNbjYAk8q41 n4se4gjYCmwEu6sqAbflJvB+Wjh+wMoAjFgSGo1KaF71Cq6cASin/x56q4K2 D7jwoUcffh17tU9QB91Z0cbV1Ycbzkleu2jo0D5VxRe6sJxvesefA+g3MXdZ EtrQ7821dqhBa7p06e5Xh9YdNwS86tADv0UChNSBs+VifRgPzRL0TStXg7Mm EbTcdrRP3PeyGVWwkdQkT34k8teKh5xcC+WPMjaeF53E/jY7VduugaOrvNd+ 8EQz7OcDZ5bDPieDnb17ifiXledtlsPWk3zJr/0niflee7GkQWOkcLotFF0g uX4KlkFX5TC3hknEBx5LGoiDAT3M+1wFeqD+jOUoPyjF/ZudcXuS+H8abSvn A6E7Mk3J1Wiagp9AKAn65O7pxXOJ/Ff0R/kWqKmDv/8Ed6FJygnjZ79Ro2Xb DAN7iPEbAzMcpqj7HfL9fPuI8TcsFZaNU81v0do8honx4oFXrAepw8dP5dot EO7NbQqqpqaufkbj/SXMnde6Hkn9P8uteHM= "]], Line[{{1.9999999442449619`, 3.302767621881334*^-12}, { 1.9999999591836735`, 3.3041347435869284`*^-12}}]}, "Charting`Private`Tag$36295#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwl0Hk8VPsbB/BJQvhlylK5LRRKISFcfJ8zmiiRQkKFSXYKkSzJ2EVK9mpE jLT5EXfsw3QNKtItSlQSLcNFU1q00HW+/jivc96v5/M8z/d8ld0CbD1EKBTK 1dmHfO/0EDzijXjA7CelcG0jtz4kWdRh0IAYiigK3dNdyn2mOZofHmRG6PNO nCzvLeBK2GrXc6YdiCK99fL7hyK4lg96K/OXuxNkPyXsT66HyuHCbc2eRAV7 AdvKW4pb9zT82Ykuf2Lqk44pI34BdzS+h38oJ2guTxNHFQbTOr8UQgjXtIud 63oQ4tMVa1pYoXN15kouPe/BQbcHYcT2Alt3+cM0xBJhXFctjpyrv9iNZKyN 3FMSogiG5Gw8fA8KWcyMG/OKJgT/ln7+6OeAJt2n5g8rxBD9d2mC68luyFw0 ddeUWBwh7FaXURMJRAr6SfS05fGEuepsPy0Y3d1N14lYkkAExU/6WsiGo50y N0yaWIlz+6RikQkj8KbXYCLxmyEy0SAZh8zf1w9+WH2a+CNxZilfNQ35u7hU Jh1KwXmefwYqK7D+ESabSny/eqOm43UWcn3iPkyNSyM6l96zOvDlMnJs7Qu1 uHaWaG00lt4QWYTcpORS62LPEQrGWstdJ9no8bgr7/nedCLMKGlBe8s1FFqu nWn5JZ0I7I5qNwssQ5riRG1X13mide2bSz6xlcj+z65gnk0G8UiBQzsgwUGj JdyFn3oz8HkYEzWo1VlsR1NYJrZhTwPqSM5orurLJPpiNQ2jA5tQbU6bqCoj ixD3k/p8RO0O2pcwKLL2QDbOixq0Iqqh3iGOeA7R0zu8Syf0LpL+EhTdwMrB dWpiB3p/q56bhHLn7kv7IbJQORco1ZhLbDbOlRVufIT2m4XvvSyXR/Dvd08a ODxG/bnxO6KdLxDhzAmfti29yO7My+pa3gXcn979DPHdTezXTl8g1ruVR1e9 7UMLfx3VtRG5hOth/AH0pqomaGXxnO1lXqNmP0rFCJ2FnTUwhC6utZjgvJmz bvcbZP+09Yd1Zj7h1GndrKD3Htlk9vtaq13G9Xq9ERS/jpGrVnGZUBlcaa1r +S+SmO///p1XAa5/pU2gY879GU6ihXP/myREniuerJZDhUT8VJuJXPZHpDba oFNxq5BQdjkmnd0+iYyCtgtTv+A8M932C5JXT9dyzLmC+39QvyPDyA7xdcNX iJm9bKqv2E8kHHzmr2JQhPNiltOoI0/5prB3ztkL5kHtZ7P7+9YXk+Yl7RGB ezZJu5afKCZas2vMNpbOBxEHq+K/NNmEGfPIiWJpcXhW5Xi2PphNFCZR4xRD JOBxQsDI83Y23s8xlgSV+Ro3tUJL8DwrtAg6TSWlHR9gU0L1qHCcKfCPUbmK TXNaDG3TbK2ex9gMwSNZCDCJOzetXorP91tNHpZFHhKqxWBT9NMUwGdqZWX4 pms4P3JuOSwx+LWkOBGbF675B9Qf7w/ufIlNaRpYAdKTOVtWn7mO54USSsDZ fDxnxzB2xRkDZXAJtPsWZHQDz+s0WgPl4zJ1fAE2U8ldBRw1JpZPEDfxvJEU VaD4dUYszcUe3NakBraCZBNfs1uk05Ws1OGnmld+Jgu74nDpBmB7mM00TmJT qqka8GVoHk+mqAzvU5PZBHkvI+icmf+TNjQe1gHTFU7sAfty0nfbu3RhdL/B AokybKpEix6sGgs/XKZZgR3Zpg/HpEZktzphL1v71ADaNjjyn8ZjT7l9MIQA H31Vygvs9fmEMfCTS55kid8mLVxywgSWXZNLVNfF1parQ8B79+mdbQq21bAW DZa4l18rMawk3RixjA6ecaucjNyxA+cN0aGhKG3hw3Nz7ru9Ddxf+/lOvcOW W+RhDhyX9RqW2VX4vMkrd4LkqdwXr3jY/AsrLcElXywtZAxbQk3VCsRevBnP p/+F73OXpTU4Ol0pF37E1lI+aQMfnu+VLFLkkPZOWWwLiS4SHnZ07K6WG7ZQ dThAsToLO0QosINFR1FCpEE16QzVnH1QIhS+0mBgM6WtHMAkmG00kIz9zz4x R/ANkxLS+rEPuiU7QWts336xqBrSelH8g3BwQRqnpgT7K7vAGT4l0ag+XdgV D6NdQCmttLVjdS3O31nHgJO5x7XP/419Zv9SN9C5tVhshUQ9aYWRaE+4p9XK eKCNTeUqegHjdljDKSfsx+21XpBW/Srw9Q3s05Uz3iDglT2/uquBdBWq8oNo +iF9x1DsNDUff1Bokzu/sAB76uaaI0DviDT3F2J/u1N4FC4/sbi9ObNx1kw7 y7eBsMVxWmq4AXskYHcQdPZXeGa9wW640BAE318tXfFtC5f0GsWLx2Dv6NvE xmfYoRcDQ0Dqd8zB7auayfkbjVPCIM/HwUXDHHuet3w4qPRoMBYfxdb8VRQO cL338HMuaWZIeGsE1F3P4dRo8Ui7l66PAoprjP6NraQp/WPtUWAu51/D2oct 7PM5Bd2nTOtiTmGXd3KiYdxurNGyizQvNsYgBvQW9iIYwpY2yoiBiKY7Tdpf cX7AeyIGxNVzefKr7pD2NL4ZC8ozpvxXR0gzs3UN4sH+Wm5H8P/+njXtQxor CVjOsVaeyqQp3D5qMgwtOfLAcQtpnowgMRkCorY+RM7YlYyw03DadvyxeBnu P2YXlArcX1v7L1m1kPOdxpvPgWil5oGzDNK0U0fV02Gn17IXzBDSSoJPwenQ +2j8pQeLNENZU/o8fLya93rTGGlKZp1FBqjaTAhaUvlk3rvvZxYoRm838rpC mmGxzzUbqGWFqZI12Lss+NnwQ8JOy2aINDO4KCMH/uHVBA8Yts660DvPNA8i tGNmpt6S5iX4jF2CAJf+3ayfpJWsbHxY4H5G9wqxuI3sN//6ngW7BW/piSak GT0po/mgUrjztGwm6cB3lSKF0CUjJ6dFa5/1Hs/VlkXQgo54PLInzbjIziuC Wr+26hA/0tRG7fdFUNwe5tSQQ5qX6p1UDGHRLy/vGCdNWVjcw4ZUzfuUVxvu kv2+wZ0l8B86vSRX "]], Line[CompressedData[" 1:eJwd2Hk0VXsbB/CDVG8kV8ZQSFRUQkj5PSezIuPZFFdCrqHBxZVCFMkt0oAo RKQMRUWGusg1ZaqQzGQmcyiF3mffv876rO/3efaw9tp7rSNpf8bsBDuDwdjP xmDQv1HXhEvTLaqAwegJbTmXSoTEGb4rs2mb7FjieEy4Dx2pTSunzXTwcnxM vqVynZmaou1+k3tbGqm1dc/x13uLZniqv0knZ+v3Qsws7Rvl5gpPCc/O3IG3 q6vRU1IRcU9JSrhC2E8x2j21HGuyyAdD2VZbHdru0inDWUSuht9zSzRtn5Er bdmku3Iy9blqDZrXJ7ziOfGWdTPqP0S7JVBy1QvCfWXwq4AdbYUbLvovyF7d Tua5UNrOM6J1L8jtsuo2aKVtlbenO4fovXnIU3e+Fq2W8FA2j3RJSOYuX6dt 4rbXK494BcZZKyTTdod7b/JIEtx+fLuGtk/nO9t88vOfQM2jYnX08Yt3JBeQ rEJr76F/aNttN2S9JkI5v3Wxsb2j56NEVN4Qm7CfFv2CtBODAs68IQ8cB2oq 5P8z81LaGyIvUFBwzYp2T4jDplKi6W0XJZD9X+72iu9fohJnmRq56z1aPnVB uJwcCa39fFmd9vvCBpty4ud1QPysDu1QlWNJ5eSNoVzkEev/+sdi5CuI4dLy xY1XaJeN5x6qJMdtU39/3EVbzejHk7ck+KBobOwI7fya0qW3JFXlRtPVWdom jZaHq8kYz/lDp9Z8oC09MV1NvIuN9iqq0K768UOzloRJzPG/DqftvFuY5x15 2atV+25/AzrbKTS9gTTrX5wO16Md2TTe3UDmnxYJGprR/i7bINBIVH33Hq/6 g3a9tWhQI8lfv2u+5BZtZ6rGoYkUaG+QeD5MmyfjImkmbemWOu5faWsHG/o1 kx+8Ua47l2nLu6UWNhP1znW56esb6ecvhWvvJ1L4F+fBZEK7eaZgfwt5nTrl GRlJm3c+zq6NdHDvjDW7TztyvP1RG1n0cCviTafdX/Jqso1owODq8GLajhn2 F9tJ0af2+Muj/+2rPJ3ZQYpXV1Z6M5vQit0RUt2k1DVe9MgY7Wbml0O95MWI m5vtPO2hXw/O9pIUZ/VXDoyP6Pibz5N7yWWnT0dP89PW9Wlf7CX69r/dDdpP +1u444s+8u7IZeGnYbQlrVt2D5CSFnPnF9G0Q0rMHQZItqVUfn4ibccghagB cotVbPlvDu0tSbw/BghluhDd0kG7Z8SvapB06J8S4NjRjG4Yj/IZJnWV+06s VqUdMuSZPUyKdNfkrj1AOyHpn+Fhcl/7kYUwi3YSz52jI8Se+fn2Dn/avJx/ aY2SYVUWn1Ud7SdK57ePkTkZjXVPTn0CRmDohN22KUJ6NSuv+tB+O/bKeIqE xOsHOAfRdpdx9J4igvwWk5tj0YxfVELZFFFhc3t3t4zOE6SqHKeJT3tMRKho C+a9Xn/kzJCS6AQ9Jxl04I+5pu4Zstos5ZfWbjr3VYrh+kpiq7LO/NKl800b pRy/ksLcCmNvDzrX9TYXmSWLEbPrHN/SuWd/ZuQc0T70o/JAE22OB4XlcyRs JU520/04O9lvc0Tcn2uqbZbORQ9LWM8T4ir13lSiFfMC/iTZbyRA2+QGnEUH 1tm5Nn4n7AsZvKJb2uj3zfG084tEtE7zK+yiXcadlbNIlJNaPzruRQdeey8y uUhOGKy699SINnNO4sQSqYq136LpTffDZFdSyyRCXUTdpRLNHBFo3cIAMb8Q hzyXduznBnnqsMMeE3HdDk80c4XAMRd2OCyds5XtQjv9PtpzJZwdAmo/jx+8 RZvT/3ozO/SKafh0FaJL/J5fcuOAtH++hnFyd6DfWBknrQCVX3YvzZ+imQI/ f5JVYGhUckknHx2oa23gugoc7m0yVi2lfWZtR9QquKHaNbShmZ6X6W4YXwUj Z6xFepdoL97iTVoNcT0sP3ejTrSKk4TAGmArPagZPoZmKMXoq6wFYd50noB5 NDP57ZLrWthp+792d0YXWuzDisS1cPRHpacFP5rRzbOGiwdyFHUeiu6nvSC4 1M8DTsmwOv0a3RdO87Dghdpg5fqK7d3AkCh8MbqXD9TX1bDf3IO202gJseGD x7HHVa2Z3fT3KMI6gA+Cnl5PnGShS4wms8qx3zLsIXwRzUxb5Gath8dy8UKu n9CBFk2dF/hBc+RS9krNHtwfeFaITQjO7ayvdtNDM/lP28sJQbanyMB7Q3Sg lf4USwg2LmeJ3LOk3biqOUMIFvg6L+06Rfd3ODYeFYbs/aosqxh0ib9Sf7kI bLrxZSFtAm1X6tPfIAZFxwPSnn9F9/x5o5pdHGyV1h959R1tkrw0qygOcc3q +bXsn3G/nbBwpDgIi1/1nhREv28QTTyyEfjSt35VBvQUd9jy9CbgLDsxVhyB 9lFPFn8iCSlRC/eqItExXyoevpUE7T/CD32IRef7GbMGJeHSmtz03mR01e9E TkIKlk1WuHDm08fTdciLkoLvnQ8GDvagTTQenw3dDF++dXd9VOjF872T1xS+ BV7+EVF6UAWdONPo83wLBH4iqcX70DdkR00/bQHBvPhTabpon82zyZIyoOlt vehng3Y/L1CfLwN3Z5tFpEPRgW4ZZ6ZlQX+6zsKjG73avys6fDusP+6vNtSP 3pqabFKwHbrey4vZjKKZUcJ6A9vBK/tan84cffw7PF805OD+GQMPEa4+YFhF CQvOyMH8eFlEiUof3QcFpx2QMvqqmuc6+qT6YCwowOk7xptdb6Mdh0Y5jyiA qnafb3kMOsaD87aHAlTHr9nhl4x23zTHm6oA0yZHIkby0S213Pd5dgPJmzcv 66PnE85vHNwNrUG7O8/t7QdGJq+Lb5YSPFAo3/OR0BZX065TgpOdVtcVtNGz XE27vygBQzUQhg6j1f4e8JVVBpnR+iQLR/QKzoj6JGXwMjnptCsC3eScHhK/ B3jEH03296PFuo6zPVcFJhXU2TeClhh00GpQBY+IYzW9E/S8DevxjCo0swk/ 6vmO5v7BaldSg4TBUNsO7gFgjEVPD+Wpwc5s17pGZXS+plxmxV4w0tqZURqM tonYZfNrH4S55DolSg8CQ1BCDtyZMMp8Esq1Hf16V0ZRCBP0hB+me+9CG84+ tIhnAntl5IShOnqqfn1ZNRPOSXt5LxijzTR/ZMscAKduxRAzX/SlC1r/9h6A A6zshysa0NwrFV+5acE8M6PfOWAIGH5NazSKdcFLsSxH8N9hYKT463m8MgIn ZYnEm1XoRY4O83YjsFLxu8Zdj5563qzx0wj2qSvbs7eiea9kbNt3GNg1U9ZN TKCbirUsXx2GCNNg1/INI8Cov6da8NoY0t21Jbw80HsMN9j3mECcRyLX5Fm0 pdHHc1MmEO61OO/ij452FYhgmIK7T07dsVA6Dxd5JmEKqoHSvocS0Afjsmrs TKEsYkWzVDWa/TCHWI8pdD8tu/ZBchQYuuyw3GIG78dXjCnKosMNwseGzKBE XscwUh4tyvmoft4MEtPLuS1V0U4HK07ym4N9akV4hyE9L7lvpbE5DMZXRQyd RWdFZVFvzKG5Y/WUvv8oBD47Gmv+zhwqRQ1M0i9h/kvxm0anOb4P3/KeCkeH WZi1fjcH16jqmzMPsK+qK7ZxlwWMh9XeXqpDp8w1+9yxgK4a7lnbRuyfAh/B FAuoX2NkUdKCfmrDdzfbAp6G1vEH9WH/lMFW07cW4B5cH7V6AXO2XCv3BQuY 9X1/Z730F2DIv0//Yc6C/kLe717b0Bd8tfJtWfBxwcSqeSc6Ya+UuQsLXp79 IBy7F+1y+cjGCyzw8WyI3WiMPrFreeEhC366Nt3bdv4LBHa6nt8/wQILld9v 7gyg+5yR3+dYkMk2GKIUjHba0hy+xALbmG9/alzHPsM28wA3BW/KN+ibPsD8 tLFVsSwFG24ma1CP0GVKXnt2UuBhI69knYkWfWsaqEyB9FeNjSdeoq/Grr3F pOCKxPFZn2r00iafKIqCni8jI/7vcD8lEpNkTYFankf3pSa0ekibvx0Fo0bB 1WFd6ORtf6S4UKAlsrbkZh/OL98KGD9FQVx/VG70MLqtjVrhQYGR76PExBl0 ZNnHmHMUpOoqRD/8hh6z0RHwp2D5t4Jr6YvowQqO3wMpsOw8cDGLbQwYUps9 zwRRkP242jtnJdq+bfZQCAX/8zI/WcBF50kj06EU2EPH8SJeNPF9ZneNgsI1 Jyz/FUCXFGfcCadgffO4YdWGMQjsEFONjqDgZJK3Zt0mNHvcM+ubFJSd/KXa II196VSfoVsUiKuF7vi0DXOu1SNqkRR4c/y2uWMn5rPztsZRFLyrjxX+rIT5 fgGV7dEUbL0rxTOohlY6+7YKHXgig+OLBvaVH3tuv0NBq4LywqQmuijr+mG0 4uLriVk9dJ+glzL6aqVO/4Ihzr8e92vH+b5b9a3LpugdH9i00PttLd9xWKIL po664vGjtvWUrbZBx/D3mOD5Tcw6F649jv6aPDyH569bMp3F54T7f8+oscLr u3/t/EMhN7RdX7cPXv93iuOemDv2T+T5svD+mEiF3ZD8C/OXhnPjVylIG+cP kTmPzvz7wQG8v+wF8b5yAdjfLd5qfJkC62CZPxWC0cdCJoQuUZBjnOW052+0 jZha7AUKTgyWmMJttH3k6zJvCoqeGehpx6CHU5NO4fMg6N+w3yAe91+3WleH z0vV+n5Z80f0fFtLpgMFkt0nxa0y0VkzXXK2FJxPn+P7/Rlto1JbKwrkDqxa dnqF8/kd3p2H8PlIz5BtKcFcyuP1bW0KlPlNTA0qMNcIMh3fj/dvKCZF7gM6 p33NFXkKSkw06uOasf9hILB8MwU6hZ+/re1AR/GPJm+g4HD49kNTg+ibP5ka qyhomK/3Oj6Gvn80ZH6RBZZ2ngkN07jPwPy04QwL7JReT+csok/r91S3s8Cj 1SjmHN84MAY8H/1MY8G85sybUaFxCDTaRQXFscA3M/qLtTj6ETtJus6C4IBu QraiBfKT4v5kQfSWPwfYCc5zuQf7KbJgQ4TAOi8ttMKFV4mSLLj/vUBtQB/7 T/SUWLwseFzDHlZpjo78KXByzAIK/oxUDHPBftzfCeS+BZB2NZul0+jg3JIP Vy2gVLvz8mkv7FfEN07+ZQHVQjKtJgGYFzs7VB+0gI5/8gIEotCBQTtGJszB TtYmLeQuvb+i+N9mcxi4wWj8dh/9F0+ndJE5TDgYyLSloxuft/tcMwfGmvba hBJ0RCybjYQ5BHsGzK+rQHNF99muMIf/dW6WuFiD+6sFNw/g94Ev+6SnQzPm mmW3zz8xA2lqWWTrGOa/PiaVKpqB3gPJP54JTUBg9fI/6VtMQTmGR6ZCbAK/ 3y2xyitMQeL6z/42SbTDtmKTXhP4ce6j/Qp57Bs8vceMN4Enpn/bWjIx3xR/ iJPHBNazTbOWnNFqMp1DL42g+1iJtkEhuv0V+5SFPtSynnDYFtO5UkDydz3I P3S31KMM7aOWnnlPD26pejHj6tG5ch9qu3VBZ93W/ZO96EFpzod2OpBRFKEU xTUJjDm9ql36mnBW/JjUZxt0k6Lz1VRVsDdRoDqOo5ncNbmtKnA4iO3qJyd0 pnv0ErcKyIwkT9e5o4vc6+S9lKEpZ7ikMBitTXXu09sNCoYexyIz0SV31jpv kwGxAK3bEc/Q+cHb3R5Lw6rn/JVXX6L5T3b0b98MXUJ5Oy+WoG2iUgL2SUBY 38+lU03onpoUPzkB/AjW7XZpRVc1ZiX9xQcOBgknHLvQiUWrje6tA/UsZt3R YfSU1Jf3RzlBpvc3Nmoc/V62SdaDAb8J9CmbzqAlDE/Hu30ji3o5zobf6Ovb 9OZr/hgZPn85Tm9xkv5/RqvU7BMJ21jDLPtFW83mQVYU+T/Kn/VU "]], Line[{{1.9999999442449619`, -2.5598782492281567`*^-11}, { 1.9999999591836735`, -2.5610291665145724`*^-11}}]}, "Charting`Private`Tag$36295#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 2.1553235640681124`*^-9}, { 0.00036432384925595316`, 9.201350792409358*^-12}, { 0.00036432384925595316`, 9.201350792409358*^-12}}], Line[CompressedData[" 1:eJwlmHc8le8fxo8WIYRCUZREhMyI+2OrUMY5RUa2jFJIpBIhldGQVUoZoRTp kJGVFY6E7L2y5ZuUrN/9nN9fXu/XdX2uz3Xfz/P44wjZuhs7rCORSEkMJBLx tz3HNKLAMxlo9fX1IdwbkPB6ideS3ikQHxcXd2SZEdWrM7Oa0lIAW0l/XTaj yzfH3AKEU0FOVlZWe4IZVa0kS7Y0/Z8zt7Mhd5VbkStir+j+/kp2xOtn81Mk 4BU9/3c5B3L+K/DeVyoNnBwdHYcSOBHrr2j53WHpdL2zfDuiHrocfXQona5H DPMgq4smfy4pZ9Dz1Dn40Ltp9vyKsQy63n17JzKVmOGbgdf0vn+b+RHJtf4q T8xruv/ngV3IeCxUxUX7DeB6OW3XBdGSiFPCo6dv6P4hZSGU7KC9WvTr/3r3 ihD6PchQyv4yk8gfvRy9F8X2XNWkrr6l9zu0bT9S5zdL7qW8o+tdG0XRxBnF jUyZ74jz51BXRNGuKV+7zINZ9PuYWSeO3J0V9pG6s+h9lxylUEVoyvcoxmwi T//7MWnEm8YdIiabTfRVkx6WRqWj/40a380m+sge3yeDOO3fpaUcfk/vK9Ml hxxv7TJTtn9P99c9kkeFL8M3f418T+SL8BkpIPsBV5e/o3Sd1NShiKhWohJ6 j3PofdhFjiDmGzHdfaU5/9+/UQVZJWwK95r6v/59QgVt6h6eTtD8QNf7KhAy NXvx7ufcB3r/15bqaLaLzPxyB5Xo4/uuUx2FWDE5mGhSiX39Gmc0UI6d+47c KCoxH6Zmo4nYLqgG+ynmEv6OlEhtlPLzZ5+EdS6hT8nu0UEqnsnKvaF0lniW p4NcfFh+qnXmEvs27Z/URZWBHWc2Xc8j8ksPeR9HFhvDqXkpeXR/qqAe+u+2 GodzQx7R3+Rogx4SDH9VWbf7I72/nKwBuhZzWfpB+Uciz9uG0xDJvNm6iZ+p gPAPsZqaoC+SldY06QJ6P7YvJsg626fwhtn/efUIGYXn9l0cyKD77XL2U9BY aWZXqkEh/b4EeU4jf00bBVPvQsK/WTD2NNpexf1g8/NCYt8p5Z2mSLPOT8ft J52rWveboWffj2UfelREP5+5uTmSN11hGSosIubzu6bNUX1nlmPUcBFxXuu0 QAu02MfD/0f+E8E/NXIsEXliJKSo/RPhd47htUYsawEWurtKCL1xsskWxTqf tpLQKSHeH3EDSTsk3CJhvfVCCeG3Wblrh1B6m13XpxKiv7j5UXuUnx5NzZMs pfd3bXZA0yZTRXoNdOZbL+mM5Da3qaJBOt/ZnOiMrhaXFUsvlBLzSXFcLohR LKZ0264ygrkc11yQ0Kp6Rd/5MqJPrOCEG6KkxdR5biknnkfp19sX0VPLQH1H ITo/5Wi4iAY5z9NM5csJf5HCtkvI/brGV1XLcqL/fpXUS+iO8XQTY2Y5cV9X zzV7oE/LGp1P9D/T88HiMtrw/qB5hPVnop/2UPZldNyJt/um12cif/4+kzdq +zbd4/CUrgdw5XujudTYAakpus77T8QH7TOaGft8r4LglpuH/dAOf11lpxcV hD+4JM0PcWQm3mPOqyD2TzjuuIb+MZlIGg1WEOf1X2W4jhpL8zx7D1cSfsvs wRvoqnTA6t+RSqKfXIp3AHK36jz5dKmSmN8+UBCA7MNkX8DWKoK9ZtYC0Mmx Ec0QlSrivOHBYYFIOPH4Ha5HVUSeZ9e7W6iBnZtbUq2a2BczLhiCPqued/hG qSbmVyU8Q9BH16pcL9dqov9F26oQlFTtY1YYTWeVN+63kY9/z7Oj0/T5I4u0 ULRnNlXMLr6G0D08Cu8hHgGS36asGkIvGxIIQ6x6ZvXplTVE/zeuAWHoTyqL +8+fdD/vF71wVG918cN13S9EP9m16Qh0pUEJYue/EH4jXfkHiE2SOvKFqZY4 T3Sv6wOUHC4dtsRfi/uOTpGSHqBv+vs7rLRriTz5Sc6HSLyO23NfdC0x73t5 8SHqq55Nfa9Yh/mmks1gFPLe72owrFdH9Cs8tOcxYr09+mubdR0x3/Tc9jFS 0ulR8w0l/KRws5HH6FFFbSd01OF+fEyO/0Uj3bIUNtrVemJeaU08DvUKClFX I+qJ+ysG7zjkdfOpuXRSPbGPLFMWh17Ao7RHdfXEPL+sWTxa+nRT4ww/jThv 7JcHT9C7AnPvH58I5lsKEnmGeD5s7WVg+IrzRF5rzr9AFmFL5OHtdBbhPfAS vbQfqauS+Ir9HZaXrF8iiW35+fdMCY5TyW14iTS8rR9vy/qK+3nmvMpOQgpP T6dGSTXiPqXvdj9MQWah9QPByo3E/MvyxhR0zUtd4Ip2I3Gf3MvsqahMXzzK zLyRuA8ZxfupSH9lNWDX7UYiL3c25hWysUq1TOul5+24VpmOgo7vjIsbJ+ZT c3jZMlCqwv2Wu/OEXzb27OkMNMV2Ve888zfMOYFzkxnIu8RASUbhG7F/u57A GxQm+Ju7KPwb/f/BppdvUe6gZv1XlSb8vE1Gmne9R61HA+bCdZtwftUqnHiP Ft4Wb9c3bsL71R5z33iPFP2UbGqcmnDfKcN/ve/RRy6phdKHTTjPrJyWkoPy tXYIvh8jdFYR3aNU1JlxWvviL3reStwNKvrH8dhFcpXQ3eRtqVSk3MNOzeBq Js4jdUo4FxVc3ng8CTXjvEXfYcY8VJT60zMqiq4HW49+RN2sknHGz5txn/4U D+F8tOzhWsyR0YzP++gSk10+UoVRpvCSZiL/e/lAPipu60oIniD8iTHhIwWo hKm62lutheiXe4rxEyp3SdhpNtWC920+5N1TinLGXV2tFlrwfeztX15XhpLP KRfakb5jPd+0TrQMBTu2nbnA/R3nXQxVv1yGjtpujb+lQufDiVvL0VezYN63 Yd9x/vLyI9PPqPvo+W3rD7YS9287uqcK0aqPODAptuK+v35bGlehYh1m6hZ1 gj3bDwZWoedar8i8FMIv1tQ+WIVs1QYeHbzeStz3J9e0ajSmSOE0pbUS30vg Zu0v6LeIKnvm+TasS8RfrqlHaFCj+q5PG55Xuiq9mYZCEo76n7tF6PrlLsdp aDs3eXZvXBu+zwU2mwYaUmBw/RpfQfi/hJ7vbkA+XbGRoTvbsT/owHhoIyqN fqbrKNKO9W9CPpmNiMk4eU3zEKGzSpxoakRxNe/c13Ta8X2Zu33j/4YKqFUn vT0Iv5KbBvUbWo6cZ7f/0o733XgB801IS+9ftXoLoZdN+wk0o7BNpJu7+whe vMKo24wErrP87Jyn8wW2J80IuexpNBLsIO5TflKnBflrGd6HKx0478QTy7ff 0brF1xw793Xi+6gR1SxtRztpGr9AqhPPB0QxzbUjuRcd3+2VOon9qXv3dCCH Y4xP3hp04rz5YYvgDlQTZ7tPw5uY52WfPNmJIpX5lJ2rCX3D8n+/uxD/tRC7 POcuzGSfqjt9SN5QQKfbswvnITGLqj50QviDKMMNQq+Xy2ToR/71A9PHH3YR 30v8MehHg/yqPr0FhM6ruOFTP0r/9CtsI2s3ns8g15cPIIU161yTt93Yb/1T 8N8Q0jcoDdT+SOiOk4O7hpHdk90nFcsJPXHvoOYwuq/Y+2NHazc+34OauIhh NO5uzje4QuiCF/6KjKCn/ZRrFw16MNef/mI3ihjKj2uET/UQ75ftXY5xxMuR wea/0IP7SEfmqY4jSavNXRdJvZi91km5jqMz/6o9ydy9eF46dLVqHH2Q0U7Z qULo89USgRPIMQmYMu4RrL9DknEK1QfJNVQd6MN9VvrETs4iZfa6dQ/k+3B/ Yznte7MoLc5G0VyN0L+H1VbPoltvIxJnKX04v5ORRegnUm4f8+ANIPQ10mDC T5QmnsDj0kbMzxxnezmHNMYDszZp9OP+Bts3tP1CvpINta66/Xhemd15+RfK 8uQbadQnOEuXfc882rX6ju/J6X6cd+uA0IV5tMjZEyh1ntCFqxw3/0ZZKooU 09h+nH94b7f+Atp9f3IxfYbgjwczmRdRsY1/+vtfxLzR32X5RWQly2VW+Jdg /+cPbRbR01blj/XrBvD5o+Uf5C8iXoG73rPbB3A/3Vs/3P4hzgzRX3JA8NfJ MwNLaGOFw1RJJOEvevtowxpKfrz4pCZqAOedFruhtIa0nML1vsUN4P2Bdp8u rKFAZmrGYBLhfyas0rmGVg03OG/8OIC/r+QPyWdI8Lfn5cjxfkJP3roFMcDk n77e79KDOM+YpCq6HnKdIsuPKwxiPadQVW893GxDqSVHBnF+79DVC+the17C +XQdgk22vqGuBw1v8+VrFoO4b9W+3zobIH6+lU84lJivS7hxeSMcnaORPfoI fU/alY1MwGVz/fCP4UHifdRtl2aC3kYJfosJIk/Y6ZYFE3hl3RvS/k3ogvyF H5jgufsxDz6WIeJ91S4+txkWpisiSxWGcN5KQnAfMyRPFNayRQwBTf/I/jYW NrgQc3KvyyNCP8cZqcYGilpDfpWxQzg/M/j5ZTaoTWA+eC0J++ujTtT3s8Gc oVnk+Eesj86kOBSyA8pbMKkYGgLZnDfAVsYBHbcO9fgqDQONNfHC8htOeCld Kf8dYQ7T1vChcYJbj2mEtNYwkG5yXz0wwwkkxZvw48Qwznt1Q1aaC0QmGl6Q 7YchvmOwbSCXC7wM3RylIjHHVSYzfOUGNoFXs8PDmPmUtVckeEDt1K2eofFh kPtl5alnzAMekWfrBmdwPqm1uPkKD7Qy8L7q/4v9Zlu2RX3mgWejoVbdrCNA Kj2T1WPJC5JZLrRmuRGQy7m4bjSBDww0JV+XB43g/j3HvU7ww41rzHFld0bw /HBvsR8/ZFFHQ0ojCN166GQ6P3CLPrctjh3B/bfO6WwUgG5Wjh0FbzA7xoo/ LhUAt9a50OwW7K/f8Y5bezeEOVMdE4VH8fvFd9ZNSwgm1DJDWQ5g5vpTq2or BLq8KRneUqP4fGQP9ZtCsK46akZfGXN+5uf+IiHwFfbyXjyJeZG7NPTwHnDs kwkx9hsFp9QSp1qlvaBOyUrZ0DQKcs2Oz6Ic98EzibRq9zbCzzp45t4+WF6f ON7Zjf2jbH+tsvbBx/eRB7N/YD3unMKepX0gyeFOtVwZBZrEobOJj0SAv+5g Za7oD/y8bsS3N+6HBbXXw+f8fwDtjegnbf8DUJQ8+eRK0A98fzlBD9MPQCCT hEnInR84f9JdqOUAsDW+KUt6hHUuki7jAXEQOfv2We+rH3ifuuRquzicup5t Sm7Efp1d7vOaB4Gan1cPQmPglMucckNUGq4K/L11QmQMaBZLvZIa0qAWcPiI pfgYkO4vsjJaSEP90fz0q/KYs9jkpe9Lw3BbQQj1GGa1CYrbP2ngXvikJu4x BvG+Z9rLWg+Bl0zFh+2fiTyOgBdZsuAoJ5j4oAZzt+APxyZZMFW4do+1Ac9z JFHt52XhiLKc7boOzP3x08xKcrBOI5l9Zgb7WZ3vslTKQaRRkEvljnHct7FY YkweMi5qCXp5jANtaoHvmuVheOqRyDJ7ZRzk7MarSLcPQ7jX8oLz9XGI/zIR /SXrMFz0+UA7G4r9EnXiYhuVQPGmsJ/eM+xPkmUUz1aCisgNrXtqsX/RZNuD 7Ueg723FvW9CE+AkqSeVzoegcXrDlMz+CaAN2x+5rYegVEJbP0oCc/0Jrpzr CBIzKllPK2J/sW3i70EEtqlV4d36ExB/SOaydDbAaEJN5I8rmKldm53eqsF0 WP2jFdoEPu+35bu+GtBbxzpv1TwBsqeNt7yN0YAGZgNyaTv224g4r1A14G0o jfvWEPYfHr8v9EsDLgY1PGZaxPtr8s/ccteEeb/GGC7hSaBJ35upvqgFSy4t T8SuToLcpOjAwmMdICtYPpD0x/yaJ9ktTwfeMIyGyAZNQvyWFQ6WDh2wiv1z STViEpyUW7+X8etCWeWOo0YvJ4HU6CG+PVUXbgvazPvUYk6LZzMoPQpcrdP6 NTumID7hgQEfpx6IqzOuOhZOAa1X22WB1RCyMl7vby+dAlkHPp0Xew1BjtvQ 6FgV5i3/0snKhqDyIzZZ/NsUkJqydjc5GcKJ8AN6P0cxJzp3bP1sCB4dBrG+ nNMgq1es2e1rBAsa/5VN8EwDTeNQRdp9I/B7Ez1pLoBZkC3hwisjCPLvQ0gU Mylab6DFCKL3XRpZh6aB9LDnm4qUMeRfipIJc54GJ8ONzy/3GwPqOmyxcmEa 4oe27t2/YAzlWj3BF7yw/5rb1o8sJlDLI9Jh6I/51IZX7gom0P0pz3/b42mQ O/aReeGOCVjvt0gPicfznpsy7J6ZwMh9UvOf55ibNhUkvDeBGbtjIp0ZeP48 /363ThMgMXfVPyvF+yUy53bvJ0OQp/8CexX271lxfK5Ehs09ewUD6rBfLK22 SY8MnFlunnatmHkt9+m6k0H41Cqf6BQ+H4cPx3I2GdJKXmrGzWG2ZXieXUaG g2K655n/YP+WuMClRjIoLEeWTjHMgJwM06LSDBkKHOQmLBlngKbzYeO+ZTKg r+1cX1lnIN653PTBZgrovhRyyubBzBCzpWMPBeRi2USq+PH88JbbIwcpIBix NNwphDkxlPHSYQpsCRpLmhXB/gKPJm8NCvzz/W67QQLnU+wY/9OjwA/3ciG+ QzP4+9n1oodMgRaHd/0HFTArR3rJWVKg1Pzpc40jeJ6zTGrOngKZRnesTqth Xb3BlM2NAvG63gJu2jjvBU0/xIMCIap23TePY95WgEx8KOApa/jk8UnMNRQF 9+sUsBZTPZNBxv0sNrO3BFDAYPcBvhIzrOuVePsFU0B5G097sxXex1E0ZRVK ARGWDTFjdnifl2fplbsU4GKYo6ycw/pbc46SexQg/enh5rwwA6R1JTUHwygw NVXbLOKJOSHsZRHWOwbzHh7xwflBYnvs8XxVe7KR4XW8v0ojmh/n5zQ84HAI xNz1YntvEAUSK2589b2N/fEbbiXepEBYgWtERBjer/UvwNyPAr5ZpgZJDzDv rvbfdJkCjqnarB+jsT/ZMDP2PAWMn8rU1T/BrMC9xuRAAXi4++5AIuasAxIn zCkgEcp6bCEF77tsnmllSAG+G4uMLK9xXo16kbQWBTZ5jVbtzsJ65W3jAgUK /OfcHCxHxeexVRab20+BvrOlWscKsF6o/LGWhwL1lMz1ViV4vrZRXmUTBT7q xZd7VGD+ZB+t/IsMKeq3A25/wfelZB9W0EuGh4peak8bsJ5jFppVQwb/gzZr Wc1YD1bJ58Dvq9veE8WV7Vg/ybDlawwZtNlFVWYHsd5g/ljOmgwyG7ctrR/D 5yGxuZSrk2HXEkMB7zTW6wxS/ITI8He0S1HjD2b/YJYjXfh7665ZOLWMWVCW Q4RqAk1NVKorwyzIjZ1W2BRuAq+LI2Ufs8xC/O8Pb87j7zf2w7X/0jlmgbSP dred0QSCMpyzi7fNAk31a85aqzFYRWtKje3Gflqb+LELxqAXJj2zLDwLss6L T04oGMPhQIHMrQcw82tmtS4ZwdYLfw4ckcPzzdeYFfyNYNVuePykEtaLvlyd UzGCCbNvafYI592tYfr7xxAqtF+LRBzFbGHe8N7BEK4InN0zYIHny6fLpVRP gK2h9KluG8ypMzGnIgzgxC2Gu22O2J+U45veoQ8i40lztIu4f3m+6lsrPWj5 MFZaEDQLTlE6+5aFjkLpj/x56h3MRe1+Klq68HrHPdHsCDzPXVlVb60DgTcP 3n8Vi3VFGS/LO1ogre9xNuoNzrt0PS0vQQ34/TUfRWZjvV3LMVIKgPE9d/Xd XHyfRlIxjvyq0MuTJxlQiv3dn2TJw4chbGhp5XwL9je58YSZSIPPdtoh5w68 LyFT6ZijBNgde+Zg34vPM8UkIyojCsrv1GhnxjBHpXfbMguCyOBWhlPT2C9W xSNykhe2bhuSM/oP5x91EiONc8Cy7odz+n9mid+ztAY2bYCxq8FPdZcxd0hL 7EyZQWG76tQq1maJ30uUH8ako/8BxsJbRA== "]], Line[{{0.004330457838550809, 1.27631238910908*^-12}, { 0.005417489561734625, 1.3766765505351941`*^-12}}], Line[{{0.0015835426096924678`, 6.09823302966106*^-12}, { 0.002498553563646729, 1.0546230555519288`*^-12}}], Line[{{0.03181270162585182, 2.5073667586639205`*^-10}, { 0.031929751872294194`, 2.543092847417938*^-10}}], Line[{{0.026350109211944337`, 1.234884329457035*^-10}, { 0.02760281693199906, 1.470448651730294*^-10}, { 0.028216211956791783`, 1.5981367340600628`*^-10}, { 0.02843341809898209, 1.6463470586813856`*^-10}}], Line[{{0.03557391585864753, 3.803071635388733*^-10}, { 0.03680374230388991, 4.3144954275931013`*^-10}, { 0.037417137328682626`, 4.5873456144818193`*^-10}, { 0.037417137328682626`, 4.5873456144818193`*^-10}}], Line[{{0.020535767660489486`, 4.7475623432546857`*^-11}, { 0.020876025547010978`, 5.06242159303838*^-11}}], Line[{{0.010452116315053678`, 2.142286348316702*^-12}, { 0.011449102014118605`, 4.955502674874879*^-12}}], Line[{{0.03060659187613595, 2.1691786145083826`*^-10}, { 0.03060659187613595, 2.1691786145083826`*^-10}}], Line[{{0.02215153575109261, 6.374243355367071*^-11}, { 0.02262798561728977, 6.938467975475815*^-11}, {0.02330905175845, 7.745004637627062*^-11}, {0.024392215195720882`, 9.205258777456038*^-11}}], Line[{{0.03320526207637583, 2.942568855246464*^-10}, { 0.0342984056545659, 3.32036087513643*^-10}}], Line[{{0.007984504445927354, 1.238560603304934*^-12}, { 0.00918978315958251, 2.070876803372812*^-12}, {0.00918978315958251, 2.070876803372812*^-12}}], Line[{{0.02514923683282817, 1.0326903776558539`*^-10}, { 0.02514923683282817, 1.0326903776558539`*^-10}}], Line[{{0.015047899850261759`, 1.425526363618701*^-11}, { 0.01526052786580041, 1.4573634074569594`*^-11}}], Line[{{0.012881336336973713`, 7.266720558618545*^-12}, { 0.012881336336973713`, 7.266720558618545*^-12}}], Line[{{0.0066929997658162575`, 1.2846612662542612`*^-12}, { 0.006747386089046483, 6.018296971888049*^-13}}], Line[{{0.016561706485730052`, 2.0660628763380376`*^-11}, { 0.016561706485730052`, 2.0660628763380376`*^-11}}], Line[{{0.018527738344276564`, 3.178701746264778*^-11}, { 0.019260257456407852`, 3.7268854669036955`*^-11}}], Line[{{1.9999999442449619`, 2.1543562990901084`*^-9}, { 1.9999999591836735`, 2.155316636276439*^-9}}]}, "Charting`Private`Tag$36295#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwllXdYjm0YxhtGkqShIRQV0aK09F73+1aIysynSGjSUIoi0iBCCSWVUGmp pKShJWnQpr33nioVGt99P/5y/I7zvM7rvO7ndSRqbHvUjIWJiek5MxMT+Xdn S/COjTuDUXBQUJDKxmJad3LapfWvn6Oy0tJSKdFy2hG/RsuDEi8RtjK1r6qm SWlvfiNU9BIpyMvLs4rX0NhYrft6LV5R/ubQWtqZjwtJn/RC//njG2g6fJu/ i0eGUn75O0001Uv7xh/8CqX8auItND7JRzL6AWHIwtzcvFCrncbi+UE3p/cf H/yvgzbeXm8tphSOyLjJ0U5aSaBo3HhdONW3w6Kb5s6WvOWeYAS1j4tpgLZt 32Ov93b/WMBwkPbD03agqSiC8ic1D9HEWKXiZBwj/92XNUorZbBz6Jf941m5 cdoVt35rd7Eoyn+a+SetcD5CpvrHP76UNUGzVbvlOy8ZTfkjwiZpAtfPjUu4 R//re2+KdmF2/ftrsjGUvvXWNI1jMmDXRu83VB+3b39oKTuuBGh1vfm3r/8v zcju2Mwl1VhKXyIwT3s3svpjfn8slbfXZ5F2tN9LzXJPPHX/mAML/JWweOEX Ek/1sZBmhQizPQtZk/HUfEIvK/zqZM5dHf6W0hnWSyGwxVkjZSGByrNPZwOG sEFE6/F31PewebYCBk8qLWV7+46aH3Vmhw3D10zeSidS/SpPcIDtBUVxpuZE St+0lQvyvSJr/JcnUcz2jgsEYnjvSMr/Y1PlNZDbO9F79H4S1fepHjdwm76L iVR+T+3PTuYF81sbDFRN31N+Hj0+yAz3WVHh+0+fmOED0w4ry9ne91S/Lfv5 IcVoq5T202Sqz3o+IdA3CHs3/vMDYZ0OOREYa9JjDxdKofadfyYCd4zYzI5p /GOXRRFINrEVSvVPoebX1IgC50Wa53WlVGreI2AzRI6Pt0mdTaX2j60UAzWH CNVWL0ovbfcQA8urK8fpjf90TidxKPBoOLnMJY28r+Cc0xYwXOqTkhaZRvom S89vgYm7dK4L5f+45PZWEPGJLijZmE7udWMES8KNZ1fkHuelU/vd27bDzvg1 y4TZMkhfhwRrOfgmU3C2TI7iyeTPcnA26WrmTYMMaj6Wfwf4pLbZdcRmkD69 Nl93QH/u26Yo3Uyi03OU5eFlzf6kHX5ZFJ89qQi79OdXdmVSnDucrwiljYnm /t1ZpN/kuJwS/G7jF57ZlU3da7JKGfQGe+5k1WeT+xpM6lVg5aK74b4Nn8g+ CZ4MGgReOGEktZdic57dAGLVUmfXXPxE5r3fZQPAmzqTpmyKdb4XIfj4JiAl TSaX7BcRn6XDyLHhLO3yXJL/0feABiisqKNBZy7JWzYVqAHOOZ9z5Kb/+TX6 NWC55LNcvg2fSd7wx3uaILrAyG+z+Uz9vqF+DxyPeVbisCqP3MNzPlILQk57 6JiL5lH3ZLLuh05umzL9XXkkP2qzyX6wdVGvoJ2mdB0J8QNw7+jIj+Vv86j3 uZyqDdlz6o3Pdb4QDl3NdQjEj4z2f3mQT/U7o38MhFz3qVqEUVyYFHoMuN6G PmBPy6d+D1UDx+AP2zGZI53/2P+mHlTmpjm0KheQffFS74+Ds5z7wmwPxcM2 Gvpga9R4KORvAckLiA/SB1Nv+TC0ppDoas3j+nCov0fjjlohlbcy3ADEQg/c 4/ErJP7UudWnoHw1L68MvYjc3zW8zgi+0GzMvh8vou4V8DCCdKvC1MtWlJ58 ZMAIXhddNcgMKKL6sGaegauuLS+1Rij/sq8pZ2HTWJSkSfBXoouluRuDU7kK Cpz6Rjgw3tccOGVSer6xFZM+fOe/m0OEj5z3X+FiMr+QxWMB33W2NBjtofQw pWAL2F7C6yAeUEzmLz9KOA9tRWNR75VKiJ+z6pclOG6x0u3WLiHvHZHIsAKO u72TfGdLiF9Z9aEVqOxtoV/zovT4E5LW4Jdf3IgaSsg921ssbGDf50jOMudS 4i8PZrWDVhHRlIWHpSQ/V1nWDi67hZySe11K+pxWOmUHYcgvxq+E8nMZfLCD v9lu6ieFy0g+l7rVJXiXccqxL7uMuvfAsD3wf1jTysxcQeYNbOmOYOj9V697 bQXZX6J/0xHCTXtKCqUqyD6uyixHkOL7+PGBfgWVb7PbCdQdzz7lS6TmL9xE V0Ex5ESUv2wl9f2nTZzBwKu0w1O1kui2mnHOcOMyY73TnkqSF7pj0hk+62z3 NzhVSfYNjN++DjrzC+4b7lK6/ebEG3DOKOp0TCuVl2gt4Qq3D6wLChqoJPdM a191hSjFR9X3pyhdoq3YFYY5nbVt2L+TfVo8Km7g+ElXZafid6Jff9ftBt4i v3izfCh2qtb1gNROjdIKtR9kv2OrtSfUarn/9Nn3g+R72YZ5wnRCzlqdoz9I XqtNrScoXVc599XiB+lnncK4A+k8stO5T35Q73Fn/V34qCkk8r6f8g+2D3pB Y+yJPXaTVF5KpMQ9+MP11FJmgdJTu43vgWrL6pRYniqi11Q334OMK0sPvIYq kpf7tPY+ZEWNO/j7U1xwrtMbmjlkgo6+ovxz8hI+MGdvlcMVS3H5Q0sfoKFe Np9PlH+xY8oHcuqaXngOVpH7MgW5fOETW1GRI72a6O9rEh9BnuWLdQbD1dTv U1vND5IHrKyMpomuE1Ni6gcR51UzTZhqcF/BD099/MDTvO7kRd4afH9v9op2 P9AyXhN8S43S2Vy9/KHCwFMgwbuG5Olw9D+FZi0bPlbpWvJeQ/t7AqGsaLcZ m1It2c+8RCAIcvayp6xi1GK/W5aAdhC80ozWEzheS97ntt77IDCmd/hJuxCd yV/cMxj6lY5z65eRvN6lyWoh8EuCtvqtTR3xl9bNvALoVC+6f7UO53tbKm8I hTsvtFzP36rD/iiJQnoorOXVG9scRPlXR98JBUVmq4rgfEqnP+ALg6tNgb5e 6+pJn2xNejjM+U6tNv1Wj9/PYVNXaQRoav8pYlTX43mD8+qzEeC9jMltY1s9 npd4O7E5Eta7rBxvnKJ0a60bkQCWmyqPiDTg+ckj9XJR4Kp5+BFyIiyftCI2 Glh+x3GtE28kfUd722NhXZn6JJJtJH2W9fDEgUJYQ42pSiPpE6e6Lw7M9i9/ nqDbSPp8H02Ig69BxuLqjmSeA933iAdfVUHVC0WN5HsMr9qdAMI37pikXWjC evzRnD+JsOvw+r3NDk047+z8PqEkOCj2YSvzTaLrSC1XTQLX0o6RA0+a8P5l dluck6BTmHa1NaOJ/L0W+T2XBG+yJ72XcjST7+EuuyoZFBfPph5LaCb5kddO poCObq7HnvRm0k87zC0FTJ5vPKSUR1i+fHl0CjxSau0Tqm0m32/myVQKDNie EuycJ3lnO+OfpEJI+/EbdrotmNsP729KA+a8A+o+wy0kT0kwLAMEuGI5Xadb 8Pxez4GKDJAxWtFkx9SK/aHGyxYz4OSfIgc93lbSJ2mLUSZ82Lkncp1aK34P Fb61Illg/hqxxT5oJX1EuZKzofS2Qnnhtjbsb665750LqqtLWB7vasP3Jl+N i8uFmKBzSqfoRI9fxVqSC7cSHoaOHSc6z3199s+gWt9vL+BOdDW96AefIWb7 C37Lujby/WO2BeWB+oBH4jL1dvJ9toR15sM1mfJiq33teP/rTWYrCiDRQbCn UoewvJaNXAFsWHgn+PxEO74vdVDbtQB+c7d4yNq047w3yYdECiFRTem4fiDh FYdabItg46Oh329GCat4vNIqhpxzrm/eT5L52m9hV4rBSJ7HIHOW8Nr8kfBi CKlVTS9l6cD7Nr83XSgGgfX3HcfWEmataEovAe7YrZMKqAPnfXxsqFYGS/PN hj/5duB7N+eH0ish4unv51/9CV/PVDGsBE0LH+3vQR34PtOeRadK8GBPie18 3UF+P395Eyth4fCSC0vTO8j3uWS56TvMtoT3HGgn+fuNlnH9gKGZttYauU68 X1uFtqYaUi188w4oduL5nA0/d1WDWx1EfdpN9N1He09Ww9q0FzZv9nbiPK/r AZHV+O/PqbkbhoQDJ4WgBoKnagXFvKg8PZEbtaD1s0zPvo3w87q3sg3Ac85F ua+bcNeA++kGaK2UEjYcJDzZGv2gAS4nPuja84vkff021N8Ar2z32wuu7CLf U9c0uhGmR/J9cxW78L3We8IUmiFiMLOY8yFhb85a/za4+OzQZks/4g/byFPW BkqaXdcLArvwPSKZDSztUPyCXfrGa+JfMOVSa4efhw18B9KJf5dgR2I7QNr0 sfwu4pf4YxzRAQ23drRcU+nG/JAtJqULwuUKdtVAN+7bEpFe3wXWLfoP5TS7 8fyW+OVzXcCk5Ib6DhJ9famxRjdIDJaH6Zl243vMlYVquuHyYWtzWV/it+Wa XdILnOujx7q7SX7h5emgfqD/d6ula4BwsP73vH6w9z1T0jnajfu2fxkf6oda ZoHo9lmSl863CAPwstfLqJmjB+/zE7boHwCZRMuyKgXCQTertIZAV0MmLu92 D/bnTRVpjMLNG+xBn+/14Lyzc3KOo5CY0nsn92EP7mP1bCxmFHi3vjLOCSTz ayZsV4/hv3dcQhnxPbgPm9nD9jGwrv3plVRNWKm279s4eF9IMQ8V68WsWHMv bAIG6W+9Vm4jzE4782UC9glExjrK9uL95+sdeiaApch/VEeVcFOE4bZJuCZ2 2fH3oV7cxzhRNW0SzNt23jl6vRf3uSb9omUK8lO3xWS7Ef2032vWX7Dp4abi rXfIvNnLn5K/oEWNm3PxEfE/HTR3+gV6wT+fxkUR/8iTQr5pYBxPjFzyoxff k4Laz87AS6mYIts64rdajH4wA3OsoQONzaTvH6HPqTOQ/t5XOqmPcP+SwVWz IMNlm3J6nuxrPyaZOwvCJdIFqVv7sK7vPqvwB6bpcd3nXfuw/mhgqdk8ZEUM PXe6TfhbY8azefBgkzp25x7hoPiS4nngrIz//NqvD+93L2HduQASZxJetkYT PUS9c8ki/OeSpK9X2Yfkk/PGXY2YUMrHtFIk2o+Y3FzoUsCCnNfP3joo0Y// /9s+XmrEgujuyrtPbyds0CN4kwWVan1847yL+Geu/cphQd11GXdS9vfjvgcq PDVYEe90Nn27fT/eH5LorL8EXd6Z/2Htl378PpzXL6UsQ+YKIqGPv/bj9/vK wtGxDOkr3njAUY5ZZ+UZplXL0W5VBWOWBpKfVPnbbDliUY9YPTpK5oWS9gqz Id8jty0LhAYwW19he74CuR1rP04XwZwsXxFZugLZH1djZIoP4PybY7ELK9B/ BlP8SXIDyKL39bFxE3YkfM60IGQv4W1DHvIrUaydpshlezL/eUdsHwcKsQ9d OeaEdfOS+t0iq5DP5bnpCy7EP5K7x2AVsrv6oeyMF+Hz9YWlq5CSm9h17ZfE H2T78iMnyvddUrupeADJT57dVn+cC7Ul5D/4LjqIyrxl39JduFHlyJLhnVsw D3tcDwzjRrlSe3T8pQZR8G9GNxRyo9DYAo4TSphVJB46c/Eg46hCn2Yd7Nfp nc+L4UG9L7769jlhts4N1B3gRbXNbONaLoPk91Yyys2HitbtPxzrMYjv8Sga UuNDMUHfuGx8sL+0InvuMR+yfFr8eCIc+69tiPKnr0Uj3qV+82Ukz/XtlUR+ 1FrCMWVUNYgs9opu39vOj8rZdfVy6wcRU/tKhgeXAErwKuO91YXzHcz9GPYC yO52+VO239gftWTdnKogmrpe+YxHbAi/h/RB804h9Ney+rmk8xC+f+sPpicb kJ7i6ccyrkP4+6mxG5ZtQPHMvXfkbw8hJpGL1iorNiKjwJlLtIdYr5JucfXY iD4XCGkdCcfzw/EaiTQRdFfk3NTV4iH8+60+WaUhitqHBgZcKjB/8VjRbSaK lNPs2zyqh1CwYBYXw0sUDereLvZuxXqXpGZXmSjSvR4dGjqB83QcXVsNNyGe 2hGdr0LDqIxjh7jl/c3IOsxRvWzjMFIwaboWnrQZ5VsvKv0QG8b9WOMVGjYj R9Y1m5tlsF8t2MRSUgw1yCn8HlMfRsEXvtTsKhdDrx44R/JbDSOLtU+Kt2+T QNsZyxfMM7G/WdJmm7wkSoyN21Kfi/WoAxp81pJIgffwkf2FWDc8GOcXKYnU +gIjtn/HeQYlk0eEtqGDPtu0x3uxbv05f8nK7ci+QTfwGvcIKhNe6Klhl0bT 6hOfB/lHkIJGh0u5rjS6Hh8wdGr9CLJYQDVOj6XRbdc2gK2YDwbEdwvJoADx Sz0sMIK/p5rWGUVZ9PGS/07vC5gVamSrvsohaFI2nL+I/TLfWA+Py6E8zRbP i5dHkPzY1qpdAjtQMb9Ew2HXEfy+2u/pF3ag5uw0V76nWD/x3O8S107ExN5U +jIXzyv2jklflkf7wkUtkvhHEROHxJGCZ4pIIZBTolB4FN/jFxNZrIhEHv7t bhTFnH7myey8IvpzrcZ4iRRmKW6RaTMl9PbIPaMT9FGksHuttPZuZcTD/PP4 /PlRFLzie2vVHxXENNPCy30R+5WfcL1WUEXDw8VVEg7Y72d1sfaiKiqsjzhy 2AXr9TO+Z7pV0bVEfd3Xj7FexN31umo3ajuTq7k/YxRZaJ5LnM6hodLjb1mN PmG/qrYc/zwNpWsH59nnY9Yv9dHYDeiJ0mV6SDmevxXG6p8GaM/qrWpjnXie +3tGdAJCO5fy/WXtx/1W79LOHUJow1/mDIGRUSQfZNaixEtHs71NSuozWC9L WtxwmI7icnzln64cQxa6VamWX+go8MONiTdcmOcMBKdb6eh27IWkHL4xxORg p9n0m46MAjRk+zeOIfn5TUVnpBlI21tudE4Mc6F4Y+UeBlL2WP92zTbMOdGV cJqB1lyc2bZbAedZ/ZIN8WKgBZPugUMqOO+XvuqBEAYaNPgeYwpYL/XtuJTA QHWHciyuaWAei7UbzGGg/D1xEg+1sD9G3exuGQMl7Q7sCdfF+X36HAKNDPRy h2dE2lHMwSq8Ft0MdH+LvUnpCex/zs+tOsxATuvPbOowxGyz7M/hnwxkfFju v+ZzYyg4xHDGeJKBDt5ivl9njueTs2f2TTCQauqP7B9W2P9B/FTiCANJDLz+ WWaH+3DV5Wv2MBC38BXxb1fGkO6rUN3IegaaP7jXIN8Zz9+1CjtfxED97vw+ n1zx/Nj4snVJDFT9oT834/YY6msbPkx7ykC5fR+nUu7hPOnBdA0HBooTerA1 6eEYErq4GOF/gIECdA0N4/3wvFPOqbtCDOThJv0oOhDvY3aJN+6ko4vJC1/C X4yhss6LAafC6Migt2LmRTi+J8Vq0e8/OtIUDNseFD2Gksse+wsy05Gcjv0Z /3i8b2rz728IIWFXDT/fJJyPVGWSTQAtf89bdD8VzwvfUPe2oqGJ7p4/npnY H1vjUqanhlr502TcczEbaOz7IbwbFR/wMr5RgP0jrd/6clVQiotBgFMx5sir PaagjEITtxXbV2DWmw2qeKKIvLv+zttU4/lapwK+LAV0dW3ZjgsNWN9opNuR vhOZ7H9pZtqK+diqHu57ckj1Hb3sZP8YUmD4+Juc2oIkOtcw/zeC52ceuSVv 3ITW8HUpHJnA/elP/6g9EURz+z6c15nBfg2JS9OynKjf2TNk3xz2l0t53RCb Bu8NJfT8RZwv+Ctqfl0i/A/LsD8a "]], Line[{{0.016663711974803617`, 1.1214495998501663`*^-11}, { 0.019628681609693666`, 2.006679267196887*^-11}, { 0.020242076634486388`, 2.0731150129904564`*^-11}, { 0.02085547165927911, 2.2561330581538644`*^-11}, { 0.021468866684071834`, 2.6814639397798603`*^-11}, { 0.022082261708864556`, 2.7337421215634095`*^-11}, { 0.02269565673365728, 3.239790657971753*^-11}, {0.02269565673365728, 3.239790657971753*^-11}}], Line[{{0.011933100943280614`, 2.5787372237573437`*^-12}, { 0.012584132174439358`, 4.0028425019045246`*^-12}}], Line[{{0.011041151262595545`, -1.4285461702456815`*^-12}, { 0.011041151262595545`, -1.4285461702456815`*^-12}}], Line[{{0.004929362547335268, -4.237143969021418*^-12}, { 0.00613399106425376, -5.1338489015506645`*^-12}, { 0.006747386089046483, -5.947775605363859*^-12}, { 0.0070541304580072385`, 2.6263435870532703`*^-12}}], Line[{{0.0030108407854104445`, 7.595879480959412*^-12}, { 0.0036538523432536356`, 3.2130920146755674`*^-11}}], Line[{{0.00012281403876088337`, -4.240842343961049*^-10}, { 0.0015077563834993003`, 1.9301715781239182`*^-10}}], Line[{{0.015334916436144605`, 8.774314608217537*^-12}, { 0.01567413667554514, 8.170886189873272*^-12}}], Line[{{0.007974176138631928, 1.1036505043193757`*^-12}, { 0.007974176138631928, 1.1036505043193757`*^-12}}], Line[{{0.024306314482584017`, 3.141913396120799*^-11}, { 0.024306314482584017`, 3.141913396120799*^-11}}], Line[{{0.009733703800962903, 2.5039526008185933`*^-12}, { 0.009733703800962903, 2.5039526008185933`*^-12}}]}, "Charting`Private`Tag$36295#5"], {}}, {{}, {}, {}, {}, {}, {}, {}}}, \ {}, {}}, {DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{ "\!\(\*FractionBox[\(\*SubscriptBox[\(F\), \(0\)] \((U, \ \*SubscriptBox[\(n\), \(1\)])\) - F \((U, \*SubscriptBox[\(n\), \(1\)])\)\), \ \(U\)]\)", None}, {"\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, { Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Right, Top}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.770916221295829*^9, 3.770916254531789*^9}, { 3.770917551872077*^9, 3.770917579006523*^9}, 3.7709176111296053`*^9, 3.77253127434196*^9}, CellLabel-> "Out[325]=",ExpressionUUID->"e3e46511-b13b-4d00-8eb5-d437da28bd1c"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["\[OpenCurlyDoubleQuote]Very good\[CloseCurlyDoubleQuote] functional", \ "Subsection", CellChangeTimes->{{3.7709164085350647`*^9, 3.770916422651733*^9}},ExpressionUUID->"2f1de1f1-6580-44f8-88f7-\ 1b2d3d66f1aa"], Cell[BoxData[ RowBox[{ RowBox[{"F1", "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]n_"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "u", ",", "\[Rho]", ",", "a1", ",", "a2", ",", "a11", ",", "a12", ",", "a21", ",", "a22", ",", "g0", ",", "dhdg", ",", "dgd\[Lambda]", ",", "g1"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"u", "=", FractionBox["U", RowBox[{"2", "t"}]]}], ";", "\t", RowBox[{"\[Rho]", "=", FractionBox["\[CapitalDelta]n", "2"]}], ";", "\[IndentingNewLine]", RowBox[{"a21", "=", RowBox[{ FractionBox["1", "2"], SqrtBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "-", "\[Rho]"}], ")"}], RowBox[{"\[Rho]", "/", "2"}]}]]}]}], ";", "\t", RowBox[{"a11", "=", RowBox[{"a21", RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Rho]", RowBox[{"-", "1"}]]}], ")"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"a12", "=", RowBox[{ FractionBox["1", "2"], RowBox[{"(", RowBox[{"1", "-", "\[Rho]"}], ")"}]}]}], ";", "\t", RowBox[{"a22", "=", RowBox[{"a12", "/", "2"}]}], ";", "\[IndentingNewLine]", RowBox[{"a1", "=", RowBox[{"a11", "+", RowBox[{"u", " ", "a12"}]}]}], ";", "\t", RowBox[{"a2", "=", RowBox[{"a21", "+", RowBox[{"u", " ", "a22"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"g0", "=", SqrtBox[ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "-", "\[Rho]"}], ")"}], RowBox[{"(", RowBox[{"1", "+", RowBox[{"\[Rho]", RowBox[{"(", RowBox[{"1", "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], "u", " ", "a1"}]}], ")"}]}]}], ")"}]}], RowBox[{"1", "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], "u", " ", "a2"}]}]]]}], ";", "\[IndentingNewLine]", RowBox[{"dhdg", "=", RowBox[{ RowBox[{"D", "[", RowBox[{ FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]], ",", "g"}], "]"}], "/.", RowBox[{"g", "\[Rule]", "g0"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"dgd\[Lambda]", "=", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"1", "-", "\[Rho]"}], ")"}], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], SuperscriptBox["u", "2"], RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"3", RowBox[{"\[Rho]", "/", "2"}]}], "-", "1", "+", RowBox[{"\[Rho]", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], "u", " ", "a2"}]}], ")"}], "a12"}], "-", RowBox[{"\[Rho]", RowBox[{"(", RowBox[{"1", "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], "u", " ", "a1"}]}], ")"}], "a22"}]}], ")"}]}], RowBox[{"2", "g0", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"1", "+", "\[Rho]"}], ")"}], "3"], "u", " ", "a2"}]}], ")"}], "2"]}]]}], ";", "\[IndentingNewLine]", RowBox[{"g1", "=", RowBox[{"g0", "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"u", " ", "dhdg"}], "-", "1"}], ")"}], "dgd\[Lambda]"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"Return", "[", RowBox[{ RowBox[{ RowBox[{"-", "2"}], "t", " ", "g1"}], "+", RowBox[{"U", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g1", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g1", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g1", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}], "]"}], ";"}]}], "\[IndentingNewLine]", "]"}]}]], "Input", InitializationCell->True, CellChangeTimes->{{3.7709157854401903`*^9, 3.770915863893804*^9}, { 3.7709159123747587`*^9, 3.7709161971850853`*^9}, {3.770916429834107*^9, 3.770916545601033*^9}, {3.770916586942848*^9, 3.770916697728969*^9}, { 3.77091682623155*^9, 3.770916827058421*^9}, {3.770916875433826*^9, 3.770916875684799*^9}, {3.77091696826108*^9, 3.770916970598894*^9}, { 3.770917198536828*^9, 3.770917199074861*^9}, 3.770917442101158*^9, { 3.7725279037066813`*^9, 3.772527905185039*^9}}, CellLabel->"In[40]:=",ExpressionUUID->"fb936d0d-0a9c-48e2-a3fa-badf662d5b20"], Cell[BoxData[ RowBox[{ RowBox[{"dF1d\[CapitalDelta]n", "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]n_"}], "]"}], ":=", RowBox[{"Evaluate", "[", RowBox[{ SubscriptBox["\[PartialD]", "\[CapitalDelta]n"], RowBox[{"F1", "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]n"}], "]"}]}], "]"}]}]], "Input", InitializationCell->True, CellChangeTimes->{{3.7709157854401903`*^9, 3.770915863893804*^9}, { 3.7709159123747587`*^9, 3.7709161971850853`*^9}, {3.7725273705214977`*^9, 3.772527467086309*^9}, {3.772527534794423*^9, 3.77252758961799*^9}, 3.772527627491708*^9, {3.7725276582402153`*^9, 3.772527701733035*^9}, { 3.772527915793199*^9, 3.7725279181095047`*^9}}, CellLabel->"In[41]:=",ExpressionUUID->"a6c5b061-41a6-4643-b035-928a6e448a94"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ FractionBox[ RowBox[{ RowBox[{"F1", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], "-", RowBox[{"F", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}]}], "U"], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{ FractionBox["2", "10"], ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*FractionBox[\(\*SubscriptBox[\(F\), \(1\)] \((U, \ \*SubscriptBox[\(n\), \(1\)])\) - F \((U, \*SubscriptBox[\(n\), \(1\)])\)\), \ \(U\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Top"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.7709167152798843`*^9, 3.77091671536581*^9}, { 3.7709170785454187`*^9, 3.770917078811346*^9}, {3.770917125571493*^9, 3.770917128322632*^9}, {3.770917494217833*^9, 3.770917522801701*^9}, { 3.7709175618688087`*^9, 3.7709175816602097`*^9}}, CellLabel-> "In[158]:=",ExpressionUUID->"568cd414-9d19-434f-b427-e417b145bda5"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF1nk8VF0fAPBJKqFI8iCKSIo0ZiZbc87YU0myFC0aS7IVSaLNaJGnskRZ CtmTLGPLNjTJVpYoIiSyC+kpksjrveca/sD381vO755z752RtnE1OclFIBCk 53/9/+/ek4ON7KGTcP7frp7dNiVFHv7ch7tUabNh6VEd/xmWtG4fjvY+q0d7 8ubRqdAnOiU8JsSivNnDtJGGYjWl27Il++pasqPF7GgE7KeQdVLWNlb3hT0t +cB04oGwHlbhB+/WC/UutLauR1ShCnfq8I2mcuuws3h+LoupOkuaEfGgHbrZ ZyqxrY1VriOe/yrKE8U1x6k6EXXHbOq8aN6KauzwN93UKC76080Jl/D61ywB Iw272zev0Pruz83NnXjF8ljDuD5yyoe2xF9HpXrjO+oPu6mlPSK+NMXACdZN k1ssfe47+6eWX6clvrpwouNtO1VE5ZZOgNgNmhHPfP3ce2r1AR3SRaGbNDU7 k+UxOe9YewVSqaVRfvh6vSwq3e3ZqS4/2lDs8WWW3j0s/YGirm8b/6Ud+dOe PTlf72JllX3L+jaen0hNf2w07bX2Dk14Fzxjk5rFOtFs1yN4PYCWajoSq3C+ nmVR8dFzT0ogbenL/viHtBSWDZ/wncJrQTTxyDQLLUYx693oCXa7WTBt7Nqe W58Dpos9M4mh+yaCadcuuP1+9yuBtX0FraC+/h7tZ8KzPP3cTqq5ev059sEQ Wn/LuqwlgY3U4aSSlf+1hODzNLEqji83KPUKXdh/ao1/yIucj4suCKvk3ky/ TystZa5YZVdAPXSzi0vm6AM8/pEqqEaxzlsRRrudNyWsKFZB5Z8461McFYbi jEbqQFpRyS0QvrAedY9skBsfK5yWK0bknpE+Tz2i520WIxxB431trv3kaiqr LfyGgc/xSJof6XlyZ88rlundT88L2JF4fSer3I5qLjMbSetQ3BEs8L2OtXLm DPkg1yPOvL05+WclExZcz3rhTGAO6URx5nkos2csr5djlu4viWGj0GgaaaS9 a+m2e9SDoW1ORnIxC/cT9cYWergcM4ZGlJRecd45k8qz1GWg/9RjTr378bYQ S+5Yzn7aSzRvFAaxtOk6T/avjBCq3HAxiZkWS/vbUuhI7spjaZzdPX5nYiG/ nCVf5yzwn14c5/5ftzVYySIsjjO/2qWaFVt64mhh6jIiRuUvqeNdrS6yqvF4 fH5HqLN3bt+K59TXREg/G2+JXzy/n3pvDskncPJzA1bPsLwSaIpZh3xmNdi7 7qcF8si8xuOMbirXYcOE3O2JtKCNrTtPGVdSW3MsAovOJdKkvm/LFMyup767 6TrUXpXIOf9L5fv3LtuYxOkvu1TxmZJnEmf+Wi1efou6JM7+nGcMuvjKJnPm 2/Cisi710qIrZxOVmt4lc/q5Uq8HzW59womLXrIel/NdcDmVXUg7aNzKibMc pySzvXekcCykOiOU4JfC2e+i823naj8t2ja3oGmC8pTTj/9H2M6Nd59y1stT Ph9m0LPgTqqVm+mvsxqpnPmWZypbPLqXylkvc1SgsHxwMW6hOCY2RnvG6Udw rr34TzjHrKdPU9s1x55x1jcZ9Kc66aVx6v/InYoOjVpwPTXxpN5f1o80Tj/D RJkT/XvTOfkTX5awBeLTOfEY6S4p9d/pnPPQp5f62hhncPK/xUR9ufMkg9M/ 4tNFnby/GZzz1ZKwTOw0z+TkDx9RXcaTvug3tbw5olxMzvVsGPG2Td/O5Kzn zje0VttyMV65zaL8ww0m53rF91Z5ODM5caqro8pmQsdivNw/qfn+iiyORVOE /baSszj9XKquq5RaZXHmYff/129yezEuvNwmfCBv0Y6bG3df7l7sV6qrOSW4 KptzvUJ2mSlJatmcfPvrGyw17LI5+cXxASvfBmVz9kuwbKbQtngxbtft7DTV n82Zp4DQLh4glMPJ55faWyMNF02nFV567rjoPCt5xX0PFs17NbzjM3vBTVSr 6OUBHiM5nP3KZp0HK0VzF+/Hjt7RaJ1czjxH/pjGkFxzOfWZ4q+Mqh4uuJPK rUGaO1q5aAvLuMzx77mc/fjWbsYbL57HiftZ8Zw01cnj9JPoLn7B7ZLHyc+x dRV/fn8xv8vhw1vR/jzO+2X1GXDzkurzhc9PatL4+GdF+qKp5xI1Ov0XPEZ9 P3H4QVAWbkY/1cmLb1yzbSE+RI244p6UoJDPya+49vHI8iu4GV+p/93SFHSs X4xLBTypqNlYwPk+kS9wVOqKAW7Gd6pRyOpLSmdxE35S+4TLmj9H4mb/R70c fp54r2whf5K6VnzrHe2vC/0mqKlRHX0/1hbinqZqbgzWTKIuuiVO59Ghk7gJ f6ncT1KNC58vxOeopLQ1yyV4ijh+rVRBryMump7lVXzVErcUF5gkK4oQr+Gm LwUBzz+7dacu5C8DsuqhNSHvcXctA0XF+nK6M4s+CKcZE7LF+PWtAIPs9Pbk /bgJK4GPjrWKhSfu2JVApFL43srHuDV5QZpB9deiKtz0VUCn5pK+y/hCP37Q tn9HnKQYC19PALg1fPlTr4VbUxCsMA07xHDCHSwIYpr3ZCmH4iauATstZvl6 inFLCYHaNqb9/V7cgmvB78//SPzaWYI8LgyCbWo8U6xwd60Dcn1XGy1v4W4Q ASWnSIp8TNyCosBsuM+P1YqbKQq+ukR2n15Sis8nDq59M6Ru3IZ7XAyIuRPC G0xwS0kA5s+c776XcDMlwe4LpwzJibgJG0Dnb/EnvbUL/TYCj8v1S8ImcDtI Ab4532O7N7zA55UCEY6HrRT1cTOkgWyTIn3NGdwRm0AW5LKZfIDbXwbApy22 7SW4mTKgZm36SXYf7mpZoEh7mfNuORvf383A/eczSoU47ik5UPg0LC9fadGE E74qqdq41eSBvrBLftQh3PJbwfurWoW+V3ETFcCo6QhrXz1uhx2AsrIFwC+4 zYjgYunLUuIk7i4iYJ9Lo8nwvkR2UQYrtoaz123APaUMjDp9tXhIuAdJ4H6o S9m0Hm46GUj/1Sr/fBr3OAU45CjqvfPF7bATZDj8U1n+ADdDBfyU5Nqd/xS3 lCrY9X6k6mnJQn9VcM2/xSCqEXerGqgGZa8D+3BXqwPzlPCac6vK8H67QNTx a4b20rjdqOCL0Ok6i524/QGQrz5stG8PbmMIXK9ovwXHcTvQwL8mo+9WpOOe 0gINK1pNp9m4I7SBSElZ00gTblkdcMw93fzzIO5WHZCwJeJD4wzuu7qgZEa7 7ZHhK2SD3YA7e/vRQDrumd1g7ynRDoYH7nID0NI4+ulkFG6HveB7ckT3jhHc rfuB2rHrNpsI5ci5RuDqmjM9wsK4Cw4Avss6fb934f5gDDYfHBt8dQf3jAkQ 99mtcSoOd7IpEEyPvcObj5tqBqZ5TJUOfsH90Bw0sPPPdapVIHtYgIoxwQpf I9z6lqBIwklksx3u1UdAkpdEoXMQ7uyj4CLR9+9UH27NE8DVqu1A1B/cm+jA 7i45jramEl+PDg4M9un4UXEnWAPZ2L3/rg3F/d4WiNUntD1PwW1nB1bPzCgc KcU9Zwd+H86sjx3CrWsP6gWEhZU0q5AnHcArcPpkoznuVEdQ4Fz53MMZt4MT SKjysiwOw/3DGXj5fIoxGMWt4gpOp6uMf+WqxszgcwM27UFaQaLIhMtuAH7d V/8HVNMMKkpm1HafBZu+JW+1fYjH6efAP5KES8uZeP3QOcC/z7L2aQVuNw/w K5nPdXwcd8B5UGvllntl92vkbxdA2d3Xy6SPIxMCvEB+0abD5e54nOIN4kWa f/PG4HG/i+BCvTot4icet7kCVivl9b3meYO85ipIDCDe/SPxBn+eroJGwy0f rfSQ2VIMoFAjfG5zGG6mLyjbFix2OBW32DVgcZuP7V+K9/O7Bm7u4Vo10o/b 5jr4XPUtOVu1BlntJvDc4ry/dx8yO+sm4L/V/2MdHbeSH1DX/6Tp7Y/nK98C oeVv2mgfkQnm/4LdL5NW112sRfkSgaBTSjrvbyCyZnkg8GBEHSUm4D4TBOJo oSmhNchddsHgTwlD+4hEHWZ60z0QIjkzeIeIHEsJAfJXLgSV6CJLhYUAc+qZ DqnTeP6JUJBZdNRzoASZveIB0BdvkRB7h0y48AB0eJu82tuPzBh4AFaq7xHM WF2P8uvDgG2+SqrHCeSu5xHgn9w1nUuWvEXx8Shw7O4fs14R5NiAaBBv11dT qYjcpRQDFNcVFt6xQGZ4PwbanvQH65jIDWJxwN9oL/9UBd7PIw7UyVGut7Xj 9Y1xIO3r9YK3SxswE4PjgUrU4eT7O5AFNyUCS//a7psauO8kgsseWpIX9JCN JxLBS0OF+5ZHkekNScBw9q/vhlvIsdFPgLVV8vGUTmRC5DNwY+/6yMghZMam NJCsEtx0+ydyV3oaGFl9cd9p3kYUr0kHni/2q5NUkAWFmCDyWZmHjBYykc4E rHBVprAhckEmEyxxk97yyxqZbpIF7kpNCLMCkGOfZIMMfifj9Ag8TsgBjVOd d2IScB/JASKN1Vy+hciDQrkgzjdqXK8P2fhBHnj+Raf2LfUdZoO+AvDBwPd7 wG5kulkhmMwoFTE0QbaoKASql9Stq08hS6UVgYK1OybZIcjGgSxQqCsulT2I XG3GBm2ph/XcfiB3PGSDacEHTkp/kbu62UDjk0Be6tr3mH+6vwRF55ftTYDI anFlgJU8fu7+fWRRUgXo4FeKNHmMzP9vBZhxdy4VTEV26K4AgNbPE/ACueBB JShtaY++OYzMs6oavOCpqvLUbMLsoV4Dus5wj1L2If9MrAGEZi2hH+bIokK1 QDOOdczVGZkyXgvY6tnfT4UhM0vqQZlT9HrLEWSWcSPIGXJ2tppEXh7YCBId NIptCc2oX20juGnfcuSMMLLu3nfAwGbNw+tUZPsD78Fby5uiGXeRNa42A3ar qUNOGHJsVTNgHt5UUBCLXL/mAwgxf3H4VS5yacoHcOjg77DWDmRGVwvoMDi9 bun2D5grvdtAXdWukzyqyITGNlCqz5u3SgtZams7eKz7xEzUHFmuox3YaHaH br+CnLH/ExhUNReyqENeR+wCE3JAIP10C5o3pWf+u5d21W0v5JihHuAXbeDj cB25WKEXiAibfZOJRF6R3QtUlji/fViOvKGqD3i1RwT5r2/FnCw8CNhhMbvt 5ZDLrAcBj0ninI4yclzmIIisznSd00d+uX8IFOVVHvB0R44IHQYzQT8F7F4j 1+uPAt1901VaTcjL4kbB3eUExsbPyJtmRoHkFb7xtp/IX3PHAHTa1HBQ6iPm R6LjwEfXOJh2Aflz6nfA9fuZ4PrNbf83I1BxAqyv0/5B24H83W4CUOI+Ntup Yya8jZ4AJ/eseJSxH8WHBSdBdaTNZm1PFC+fmQRBGmIajlXITl+ngMRlP9t8 x3bMn+RnwU5jSf2Oc5gZG87OAiPZXPklV5GHCmeBT2336N4QPL7/L/giAbw6 i1A918U58LTkx91l/B2YN/8iwJ6gRxE2cR20MZlyp3bnpVBljv7cNAOLa5rH L4WG+9nX9AowM+Lrl0LbRxsPqJYhwz9LYbBq54D4B8xsI3NuOOR6VOzLLOr/ H/8yGNVlftlt/ycs3/n2crikbK92wAhmzUcvVkJRwdTVPpOY2UETK6GS1cp2 N0Inlt+swAuPTFedMxPGzD4QyQtzSXpJ66mYNVd78UH7BBpP6h3kD7qrYO0N Sn3lts/Y+jsCBaGGQA3XvZ3I/FmCMCXSWvWoJmYpsSZBeD0jMPabOXK1+Bqo 0TroLuqLmeGVugamKET/49SCmS7/XghqD11jLtfuwvq93rMObgz++vvpGGap gNfisNTa52n2D8z0sxPi0Iq81rJ4Cvmy9HoY9UGjoJar+/+O5bu4HopK3vb8 JoLMtV0CCqXK/6DQMNOVHkrCZeUnR14EYdaUNpCCX3997mwmfsHyj7jKwMTh 4jerA3v+7+ArddvgmfADMk6hmOm1w9ugqm7PpYoIzOx/eBTgm2je7ZcTMDc8 1laA340tg4YKMAu65ytAmD9pWt6DmVDzWBF+vK78yVu9F4u/clCC8cSKnc0Q c3DXDSXo8skikKiLmT0WqwQJqgzagBHmhtZWJSg3XB9nZofn794BPYxd7HcE YRYlriHC1ZJPvvX2YrbY0kOEmoeuf+oZwlwwM0aE7kEnar6MofUrp4nwwxLR J11TqJ4spAxj+v2tOvj7sPVcNZWhEtOp7j0Fc8rBh8qQPqRf/E4ds4FhkjIM 2STztBFiZqsyleHk/fYbbw2QuyqUYam3IbXmGGbm+XFluF9H6VnZDVTvp02C Vy/zRr78F3PBRUMSZOb1+7EDMROPHyJBYfnHNqURmNVGHEmwg19QvCgNs8X2 YBJ0+fDdP6sJM4/IRxKMEaj3ZH7EHPuxmwQbDFLtMjsxR/gPkyCl2EYzfRDz VMofEpx5/P5XygzqPypBhncd8+xjZfux/tZHyXBYM92fbxtmupMtGe4WTUr1 3IFZ0MKZDLmq7o8ZamBO+XKRDL1lPTx/H8DskBpBhh/+OEfYmWPuan5MhpT3 tkVvj6D6vmQyHPc1/Zt0EnNwWi4Z2n8m+ZlcQv5UT4blz7ellDAwu21sJsNN gZveyPthHtdpJ8NPVKHVc8FoPuUBMjR7+P3Bs2TUP3qWDLPPDuWLpKF+w1wU KLCn+6NvFppXlIcC3/xqkLRgYW5dJ0SBWubMJO53qH+wLAXGKKZUubZgbuiU p8CZpbFDbR2YifzbKbAgO2h71gDaL+6dFChy+9YBiVGUX69Ggeesfc7e+g/1 v0ClQCVB17zjs5jV7HUo8O6AfUs11wB2Xqn6FDhcavWbzIPZoG4PBSadNgK8 azEXpB2gQC49/RPnRTFbOJpQIF0C+nZJovyl5hQoUbO94rk85q63lhR4MX7z gLQS5sElxyiwxVtyZQAZs+gaKwqkHFynMKWG2W32BAWGyK/abwvRPJXWFDg+ x+1ar4OZ6GJLgUYtM8HqewbQ82lHgWkZP7MTjTAz99tT4Eq/kSYBM8yt/qco 0P547+RFS8z+sQ4UWE7pEO23wix135ECN/E3aRy0Q/PYOVEgo6fmGMsRc4OA MwV2Fr26usUVzRc+710hxbEhHphTpucd4ZhTNuuN5lV3ocBJzWe9Dj5oXrN5 X+NRNPX7F3OEzLxXN6S9TAhF8XPz9U3kUa/sCMzVw/PrPwzfTnwZjZlHe970 P6cH3saj+bzn55U7kRHT+QTNFzR/PSNlY+ajaaif3/z1ZsvtWDWThfb76Px+ eN12LefNR+ez5iQFwrHMS2IstD9J8/vJbTJOkn+J8sVs5u/HPOKwSiVmwmk6 BR66kmVh1oCZnjV/fhLd3wVsm9F68Uco8IsuqepsG7K7BQWe4c/ZGdSLeSrD dP583X6MRA9hFpQ4SIHT78mJaWPo/jhlRIF+j3KF3kyh63lkQIGGcz9ft85i 1ryhR4FCtjt9B7gGsed5n/b887Dt+TfuVZgLzu+iwLzC/FqaNGaGhuL8/SY5 dd1IDrOa6Pzzoumrtuu4AuaUJhkKrDUofHpxJ+bBQXEK7G0p8svbg5nAWEGB qbv+gHIjVG8y/7y6Pd418c4UM5Nr/nmesWfZjh/H7DX3nQyFJ0s0Fdwxj59q I8M2y7+/1C9gJio1kWFsCcw0uIzy39eRoeLNF5L2fpiDC9lkqCv8cjr2IWbB yUQy9CCV54q8wjylemr+fUSRir1XjeZTtyJDC5XLd/jrMbutNSfDXRoUG66P KG6uPf8+1E4UGBtD865aT4ZBB284VYgPYefnUEGCDNMuc00pzNV8RSTobk7V Kt6MWf52Bgkesvz5TxYRs5toOAlKWNtVROljJvrYk2Cqm66Uhzvm8Qd/lWGU eyzftwuYG6bnP18CPGYmHa9gbqX2KEM3r9y6E/6YRY9UKUNVhuylfTGYef4G KMPyIO4Pm96g/HXrlOHnjPI7jdLD2P4I8RNhwyj3CGkL5tiSiR2QrahneF8R M0H6/Q4Ym1rBf1gVM2NfwA5ok1wZ0GGImak5pwT7o6uDBi6gfLm27XD0bm3o bB3mrhVuCvCPU9OjrRe/YvXntOSgmcrxe0o+mMfTxeRg2pJ+P/IN5M/fN0Or iF9nQSDmYIX4zfBlhbjBwXjMdG+uzfCWlPVPrzeYjX3KZODVX1/i37Viltpi LAP/B9ezTHk= "]], LineBox[CompressedData[" 1:eJwt0HtQ1FUUB/AfoqA5gbuAiw3UIrAgFpFtQbnniggpocRaUpQDKyjBoCvy FFoHRJh4CYXIICbyUklkWggfLKYrLmutICKEIKDorrwfgjyMhTX5nd8fd+79 zDnfe89cq8CDO/ctoShq55u1uFPZn57wUA9venMSTc2vJYr9r50f2Iws+n7F NJfE6LOsux1pyxXnuaTTif/fuBttbvkKLjmbEX+OE0abOn7OkqzfbKgLrqPd 2zRqTqQXK+w65JhfVWhO+KY+Qk8l9pd6mxNBf37Z+hbaohoph3gfd/B60Uc7 sfbwahLRuSM/jj26aNfiNaZkxm3y1hCHdq+42YT8dClv+AdL2qKSFBOSnPCE EHusC16ySZ7toedLCO2isFYWqT2UuyEzlDZVLjQmpMtl94KYdqLdXSNS796T Io6iLS/wMCIqDq/TJwEdCG+T7r+uJpidxLzKZSWh3upqLJSjW0WGJDkyYcZY ifOeHjIgK3qsuUfvYj422oCwpfsjg9rxPUnWMmLjq1tjP4L1riZ9srXE6scq zhhdDzhGEX6+EU9pgR6ypQg3S6t5ZEWbepXzGubi/g1c+j7WY+x0UClM8//W FZ0UqgUTvYldCyHYL/h6BqjZHlO2GM2WTcPIiKqVF4k2sZ4GZUeZ0OcI5pO1 LyFO+t2O0l/Re5QT8CRA7u4pw/7w1GFo3FWp738THXJ6CK55FdRHKNB11YOQ 4xzl+ts99Ddj/eBhbC8Yf4YOPqWBDcvMtPoD6L57anhXqyczH0VfX66GV31d zm6z6HVpT6HiRvbHJ1eO014a3wP5NZLJ31ehDdZ1Q/LF0KobZmhx7yPwz9vy 4cB7aBLSAV6ZTmPzNujzLg/BJcmykuWA9mW1A0s867CRj97W1Qq6IM3gV5+h ExsfwJBfS/leglY0tIDCo4KXtQ3tXtwMsZYBa5/uRvMz/oZAHyff7j3oxikl eB/TS38YjBYcaADeYOlEUzhakl4PbIto23+i0W2Ot2DB+ws/RTw65PZNaKsZ kMuS0SKNDOT9tVOX05h5z16Dincy7Kuy0FTMFUhK/OCXC/noF9HVIP5Td7vk DLqjUAp+fc2zZ0rQRYpKcNoeEZB7iXH4BbBI2HIiuwotzy0Dw2rTO+lX0PeH i2FS83wupY7pHy6Ex5yrjkflzPtBBaD6MjVQ0oB23ZgHl4/45cWqmPmjcqBI 6qCKaGbut8iCTLV24UAb89/LU+Hw6qaPQjuZfGUSBHkW7tv7mLmfJQFvycFT AWrG9lHw+R+uTd8PMP4kDHjPWHq+o4zviIBlpuYLJxlfF8L81pqQ7bOMuQLY xG//WTnHmLKB/wEyZ/jl "]], LineBox[CompressedData[" 1:eJw10AdMk0EUB/CWoQhiSy1hamgRg4bEEXf6DrDiQhKDBaQgDgQFTUEgGmjE xgFtJaiIA0TABRI01aIsa6hE3IIighSUIUWDCKUYhlIc3/u85HL55f7v7t3x dsUFRpkxGIy1f+e/tUvP1eSZGbwZ1JgD/u76pc5WtLmhoNW8brhgTbssCpYF l8fY26JlNfFwazDf/CyL9uQh4CvSL7M5tDfJ4CI/fnkm979PwAzN1rc2DrQt T8LxIN99Cie09sFpGB+YZznVld4PzAaJnFNwfDa6c/1F6OH9WmHGo/u5mgdv RK/2mzzQp8k1WDtwb4rUE+3GLAJN+uXCsflon9GbUFwtaRpegGbLVOAqCpEc WIz+oLgLWd+9rQaX0JaUQaqbnaBvJbpSWQE/qsbf7xHQ9bVVELulO05P0HJ7 DQSllV3rFKKz5Vrw6g+yaQlAX1/0BCpFm2qUm9GCz09B+HB1ItmCFhU9B3Hm grYbW+n7dr6G3hGPU6FhdP/iBkjY7iq0jUDHqt+AYuG00qRI9IoPjcDN+R3h GY3Wjb2DQuYIp30v+hn/PVQ2dqcIJegdWS3Qm6TZyElGO3e3Q8JH9WSdFK0O +AQmvxJ1ciq6vbYDuA7nnbuOoYd3d4GwKq5PlYluudED9bzo/MgzaK+jehAr wwMdstF7I3shIWxDdWoO+tCSr1Bo4isDrqN97frBK9qJMIvR97nfoaKeZbxX Qvc3awDqCyZCXVWUZetmG8Dk2zzvWxV6aZgRxGmK5/IGdMbGUegdOHJY0IiO HR6FAyEHFxma6Pflj4HcMzInRIf7hyfGofyFIGauHt3aNAEzWQarxz8p+8RJ maTxoTJ9gwnr29qYJGu/x5SG35S1PmBGOC/E5jqLISo/zdyccE7UmQZnDOF/ 51oQ9q9co4s7ZW3fyFQy/Ytfe6I/5nvCWeTVuU7xeADmk3QskrFG2pq6mbLb Hi82sbl6p1kRRHmHsZRNrLe5vC3YjueVquyI1TtD3ctEzNc+m0ksai6p3PMw /2ilI9EJ1qzvyMd8vMKRqKr7O3Ov0G51JOJy4HCKsT44xYncvd2RxFBTlqXX OJOIPPdVH5+iXYJnkcrk0sfnhymzvUU8wrIWreNaGql6/xg++QPzwKXM "]], LineBox[CompressedData[" 1:eJxF1Xk8VF8bAPAJRURIspRsCaHJTEXmnKFkiQpJi32pZCeKIlJJ2hQhWkii IkKIwVCi7FuJSGT7KTvZ5/Xec6fpj+r7eZbznOdcJWXnbnKCjUAgCC/99v8/ 65sDivdzj1GX/ko/QpOG9Lrm1Lz9mI3Uf8vBta4jgaeMMBOChTfD4qRNcmWH MRMHnDbDNevCvYJsUP64oDwsmHHg+euDudPYWgHyFPOBX/GYw2V/bYE25gr8 EYmYPax4lODbv3u6tZ5j5vdWVYLWRL/rT16h+NYgJZiV0N18PAf1axJVhuZX 8tzqK1H84F4V+ErfLr5oCnOLJ4UIyUpSkDqDeUTQkAiL+DrbiucwSz40J8K6 Rst1JYRx7D4nzxPhhOWx2++5Mas15hAh9DLyr5AYR/dT3AbLTVeL6Uth7p9U 2waNdtbkfpJB7tPZBu3mDcY/y2PWu2C3DV4L0XWqVsXscSxmG6yLhUcbdFC/ xsVt8FjAwqSJPuYgKR5V2GVNi2g0wBxjsk4VTsjuqm0ywjxtsVUViqZv1/l6 HHMnn5UqtHuvRP7uhrml+q0qHEwarLfwxCxPoatC79CX7u1nMGfc+KwKr+2X f9Xhi9m3ukMVpn6Vkf4ZjFmybTkJTg6K8fdGofO4D5Bg5KO+8ocPMGvuPEKC pIPZgYceYs4DNiTombl/mJ6A9vXNkwT/+AbVxKWi++tFkOBNxf0hJumo/944 EtzyXRSuzETziCeS4GlqVtrZXMx1hzNJsGd5703jUtRvsYYEr+RmanOVoX1V NJOgzOnA+aJydH/n7yRoWyXiolSNOZ46QILt9wwMOFswj4gsI0N/bRH2olbk 1yvIUHzqV753O+onsYoMjx27qNjVhdnmujAZNm98s7LwD2bHuwpk6F0fUHJm BM0/rkyGay7v81McR3EVVTI07u3uj57GnLJtFxmORGfEH5hD88wAMryjH3B0 +SJmozgtMqxOFa7wYp/A3stZjwxdrLoDFVYgxxqQIQ9/xs5OLsyOiQfIUP+M fvJ+PsxGu03JsF9W2JpDAHNdixkZXvvSJVywBjOX/jEyLFP3D5EXRc6zJEOH QT34Qxzl51iTIfujtVP3JTBX3LElw6cHutIMpTCL7LEnQy1C+gl2Wcz0Ogcy 7HxzYUO+HOZ+tZNkGGiv1+yhgDn8wikylFi79tZmJcx5MY5kWPjxp3aHCubQ 8NNkaOH7ej5yG2Z5eycynFO4kG1AxuzB70yGsW26Lmw7MRMeLFn9lpDsO3XM NvNLPjeSFiFHxXzU1IUM3x7SZY/UxhwjuuRQg7yr63Uxj1Qu5VvsUeBK0kfz WC15q0ZsmLIhum/90vlsJB7enAOY9TYtuVnR/w40RucdW5o3RfqPQPkhdF/X pftcELOKPGiGmWi/dN8DgrXCLUcxq6kv7UOKW/OBjTmaf2RpXxPL3ogPWCKH Lu2zYkbqsacN2ifBjgzjRu9Jztqh9zG3IUO3AfbE4BPo/CgrMtz903sTjyN6 jyyLpfeuM1Nc74o5JfwoGRZUlKc+c0fzmyy9/2262lZlL+TJQ2RIzhBbWhra 78+l74cz5UbORz9kRUMybH0yr3bQH81zWJ8ML93pADaX0Pd1aA8Zml47SO+/ jOaT0yRD+UD6bs8QNF8bhQxr3J7qBt9A3+fQdjIUO3DS+Nl9tK93cmT4Z+/X RqUYtJ8kaTKkAz2zt7GYNb0lyPCksqL5xyfoPQrXkmHWqiGH/hfofDZ2Mgzh sO7zSEX35VskwePztadnXmMOYkyTIOH3GzfubLSf8CESNKz08VUqQt+HRwsJ bnzfO5tNR9/b8wYSHMs/EgDeY+4sqSLBBy/Vgw9UoPxXdBLsvb5ww6MBzWeQ TIKBelefZPein5cOdxJssHK0IA6g8184kqCsj4Fo6iDah6UtCX5OEIhIHEHz XzIhQaG5RyH3ZtH7F5FIMCUtx9WDbxK7r/KYKqwT7NdQ2oG5btFaFUorVE4n q2HOoJipQh/q67cyGphjHA1VoZiL91ZxTcz8N9VUoUMZQYZ7H2Y6B78qnD4n yt1viTm+q2AblGrf15J4FXOnH9c2GFaqkX44FDOxYY4Ix5KVQjhvYE4RHybC Ui8+snM4mu9yMxE6cDXcUY3DHJqaQIQppGO6JRmT6N/DnUSoEnYqp6MNzUvO UYG7dl6JFFWdws5LEtkCLSRqZ5Y1YiY46MhCPlGvtwXNmIPyFWRhyZq1nj4t mOkSvLJQbqV5f387ql/dJAOHx3u/1PZjDo+1k4HBnxazHi1izrgcLA1TvFXc 1BX/Yl5RKwmPu9crjCth9nDOloS8Tt49qVsxd3Y/kIRe1vkWktsxB60+IQk1 9ukYcGoip01vhDUbreSbD2MmXLeUgJOfb3V5XEL1C7ri8DtPs+P8ZczxxuLi sNRw/fC1EJRfMyQGw2tezj2+gVlTK0oMKjaUC1XfR/VCfaLQ6tsyXYWXmCXv hovAj30+r342YKaHsQvDVPnCba7NyIrf18KI0xx501/RfFPZa6HN4L0Pq9tR f4FTa+HsUHo76EP9zaqF4NapgdWxc2g+6adrYAyHlbeJ7DRW3+0iABft122v l8NMzzAQgA7v6yYPKqB4iqIAJAbvObdfBbOm8AA/rGDIn9dTwyw5fIof/p0d D4SGqJ6vjQ+ajV6/oeiN8ue38kCa0R7DF2cxE1ZMc0PpjPlV8n6ovz2dGw65 ud/edBHFBUy44dXfpnclQ1E/db+VMLtvY7TwQ+R7Xzjhmo63T9k+oHqpKg54 e1VAQO5HFJeO5YDcGtpHXT4h+ztyQLaYBt4vNXi/FRzQJU2mPf3rNJW37cLz QUd2OGY87PviG+pXv5cd1pXJHzQaRvOrNC+DhhPDCsvHUDwmZRmskM7lyJ9A 8cP+y2Bx4N58mVkUr5JdBl+r2236yzGDnRftR4A30+LmHolhDqp1WARc3+2+ mGzATKhfuwiucCu+4ZRE9ihfABdO5Z303ITyLyktACep5nptIop/X5gDevf5 Ugb3Io/RZsDygEum6p54ffIkyB79PVN8BtXnu00Ch5NHn+icRXHfHZPgw8Gt /x26gOIHyifAFen2QLerKH50aBxwVKi9SnyA4qeMx0A25ZmR4kPkzI1jwOHN 6qmMx8gnh0bBh9hezaJEVC98axRcdo380pKGbFE7AtjWjCzjK0XmqxkCmdfM kyM/IF88NwTs5j8aipcjJ0sNgdKeR9HyVciGvn9AcJ6B8p4vyJdVfoNlVslH ff9Dfl44AAgvrNK7BGcxN1j1gI+/v7o9WYvMIdoDbhKNVSxEkIcbf4F1eXvS mjcg9xr8Airl8q8q5JFPaXcDi56x568h8vThn0BaweWksxayrPhP0O/Ss0le G3mwsxOcmfj6LEEf2cutE4SxFz6NNEWukfoB3klde3zeCVmkpw1cPEGw2umK nBLcBrRf+G2YcEd2k2oDdUSXh64+yCp2raCfahxrE4T3G2kBwlbiUTpRyLPU L+B7QuRh9gfINkPN4GkP71p6HPLnR81A2ZUQqZ6A7MBoAtr+PXeVUpGnqhuB V2z6LcFS5ANR9SB3PvZa6Qf8Pqb1YN4q5JJXObLjmnpwTcbSp6EKOTWiDjxM 5ba89xVZXqMWlBWdUBL8g7z+ZSXgljKWKx1G9oaVwOgyRdJrDHlV02fQqrtG qOEvHmf/DIbq6HN32eYwk70qgEi3eKWACLLpzTJguZezrEQM2XB7GXiaPFbk uQFZ8scHoOTyKbNeGo/v+AC0Js/G3lVG/j1aCpw4G04L7EGue0gH6acL7Uv2 ItPM6GCiMsXSUw85VYAOAsMDjev3I+cJFYNIUWX1u0fx8/gKQeGWUC4BN2RH s3dgR9O66nsec/jPUx7I8E++K3QGueVaHnha/VFMxBeZvzgXhLovV94YjEwH OcAkK9hYOQqZ4JcFKs0FhdNjkLnksoA2x9NWYhweb8oEOw+X2JPj8f6kTLD+ L8NH4yV+P8Ib0LcrIFa/CDn+YRqw6V5lXUnHzxdNA603Hsrsf4+cEZ0Kqr4X pBpVIGvGvgKZF2eLjjQgd759AbZsDrv8rQnZSOsFeFYrqmf+Fe9fkwKiJdXr rb7j9UPJwL/0XPeJXnxfu5+DSSfOlL5+fP62JOC2Jtrl9CB+f58kYOuQM+ky gvdPfwZ0Vkxyes8iB21PBAL7vJSC+ebReSHxIL5kNc8uAeQMYjwgqqcNjK5B puc8AQfk+5/biiJLujwGYSuspLRkkTVn4oDoxTnGtBxyp30cSJmM6chQQLap iwXlvxrjJLciB715ADje6wsTduH1kdEgYlffRC4FrxeMBtKZVxrdqciEyCig mVAc/kMbP//RfRAQuJ2n+CCe/zkCTGlIES6ewM8LCwdXs4o6tjvi8yuGA6Et FoV/nPDz4u4Aklj0eUsPPE68DTymV01SLuDnXb0BGO4vGycC8Hm7wsDtPt3M 1CDcu8NA6pdg9/UheD3vdTCQPT0wF47HK0KAr1JURVYE3o8aAriekZKdo5j7 vArkItwc2uKY+7gC7Dx/deQ/x+Pvg8F35bpGPxoep18ETwYFAtiLca+6COxe HJK7VYL7UAAYkP3qG/8RP2/6ApgS79hQXofHT/qB/G8by40a8XiNLwiItvVo bcZN8gUca3pK/7TiFjgHBLh/nxLqweu7vUFTubLA4z48bu0NYq6652/+D4// OAMklo2v0hjG4/1eoPfumbLV0/PU3v++sRkYe4Lhtxrmg3N4/nMPkHkmgMNn Ec/X8ADqw4QjoewLyA1uQKeXc/41L+6PzmDlM/0kNX7cvM6gyvbGgVJB3FZO 4FA7X0LzOtxzjsCmaa3OvBRuz5NA9t6R4auyuNtOgL6DD2JWb8a97wRwq1w/ KK2EW8YBXCiVCdffgZvTDsCgE+qNarjDbAEbTO6y0GDOYwtC3ylu99DELW0D ojK2tUbtw/3ZAhxzO3NZcj/uaXOwXumt0suDuInmIDFZLbDQFPfLYyDjMVX2 lxXuVjMwfn6c09YWt5wZ2HEkebDdHnf4YVCwenXWV0fcOqbgY1CHVqUX7lUm gMvy3iY9H9xBxsBAXWdl2TncE0agbjStrsgfN4cRaLMLsM4MwW1hCCSo2/Zs vc6sNwA24j1yqTdwP9sHehsNh5LCcRP0wYj2+oAHsbjX6wCSVJ2N8CPcpnvB 2YXL2hFPcFdog7xvO+X5n+L+vQfMvR3kufUMt80esGJzQWzQa9xcWkCf3f3i Qgbz/prg5g9pu/NZuDupQCAmTME7D3cGAKbekHc0H3c/BUQZjY24FuKu0wDf lJ43/VfMrN8F1q88nneqFPeIOrDu4X346wNueXXwtKQk0LacOZ8a2HxeQde8 itlvB1AdnG4+8AV3Cwn4lKe+q2xhnq8K8hJtHum1MferCoBFhcPuTua+toEg NX+94i7c/kRQKkRUovTgFiECvero8e3/Mfsrg7AXBl8zf+P2UALVVxn5W4eZ 82wB/HZZj1NHcWsqAhN4KlhhArevArgvJn7y+RSznzxomarRl5nBzS8PxBqD lePncB+VA5bpOwQ2LDL3tQnkHJ/mqyMs4vuSBXwr8lddZsftKwtOvbnAvWMF bjUZQLcAXANcuPWkgQgXY/lDHtwpUsAzi85+kA83UQp8tgpexiaAO1wSSHNr M7LX4I6XAOffLl84JYybIAEabcpnxURx22wASquuT1eLM/uJgyu5+6aCJHB3 ioHvdqsmSFLMelGwna9mtFcGt5EouP3uzvADOdyS60Cvg/EfQwVmP2EA+dcM MrYw84VAdEFTf6YKy3qCR3+JkHF7CIL4QtGuyh3MegEw49j246I6cx5+YCL0 qH0bhXk/PvCy2KrtF2TOxwfYnCW/RWux4ubCXV/2aTPruUF2SWLTgg4zvhKs cj3RkKHP3AcXcBDZXGdvyOy3EhS+768WPsisXw6E3V9WfjLGHbQCuIm5fPI3 ZfbjAB/LlMu3HmH2YwcbPYc/dB3DTWcDvuvflN63wK3JoNSVe9H1rJn9lgH5 M+SiOVtmnAAuSUwVvHZg5av6+OUKOTHz5yhhkhpvy12Y/ecp3ZXzmefdmf5L oZwrylD2YuVHSge97vRm9puk/KnWSo04x4xPUXT82F/qnGfFH8uWJc/4M+Oj lL+1IUmpgcz4COV4wK2HvmHMfQ1RaIqREdr3mR6gCH05fPdvNLO+l+J6ad2d l7FM/6R8VPp20/IR04MUiZbYMP54Zn0HpVZFIuRsEis/6GrCpe8vWXHec5z7 bNNYjnV0FexNZ/obRe54Y6tTJtNNlCwD9cThbFY/TfDE2TuXVV+lspw8847l Y5LO8wE0Vn2vQP0HtmKmaygiLY69az+xbPCYwKXQyMpvuXOyLq2Z6WyKw6Wq GNUWpgmEUS9V29xWVvyiQ4wCpZ1lbrPFUfoPlqN1HfL3drHOk1X/HPz5F+u+ GYpEg4N9rPzukXIXu1GmP1CEc61v+8yx4okpZWazC//mpRFjt2wMJDD+9aPd uNvHzs74V68f8Dc9dDnLX9wsfXm5mM6m2dm817zH/c+UYWOFlet4Wfn+e+7U x61m/Lv/yu2TDyQFWfVRcuZ2SUKsfGmREkXFdaz89JWbx1+LsvIrfo9dzpP4 l0/rqi0SKpVhxd1LZNt15FiezwxLqpRn5Yc+G3E12sI6b22U2Y5mZaZraE+v 0RaPEVn3UfGTLu9QZfzbV4FT6B377az59CyGjvTvZLlpv6mk665/+6TZUvP7 Ryn/+lOGiJJvzlJZ+eelQ/zmtFjncQr91grSZr1H5HIT7uW6rLjk39yG6/qs eFr/hjg+Q9Z8oY+u2nQcYPV3MPmz6bUxK1+T8/BggClrP+tptIz9R1j50x6y ZzccZ+1Dy4h0X9yCQVXrt7mfMvCR9rp1nFBozTovOb9n0wFbltXEfa9ddGBQ l3+bAz8zkmi7ZxSNlRz/xSl7HydxmjkxqMVXpgRbB+mUGbvZtkpX1vs0rbNL iPNgOaPq00nnMyzz3CBQur0Z1MKyFevELfwp8jTbWW4/BvVbiuwffVBboD1I yG29wLrfvd1BztcvMqizdSsHIxSqKB8WzjddCWJQ75UcV+93LKdEvIvUd7rK oGr//9ffYkpm0ZMq0WvM+me022c47w1cZ93PSd79yLubrH0psfN0X77DoPYW yGaG1ldQTLOHBn3vMqjePvazZh/f0+Z1nifL38fzg77Qkr2HMoyiGVQnxWfC Ci+qadkZPqoVscx+n2g59Z8VBB8xqHG7PnUuj35KcxbbW3gqnllfT9GpTQ3e mci6X/j3BGWRJJY7VNfPT6UsmdqeQt6XSPls5/PpeCqDmpIdWbP69lhB9lOD mLOvmfkdtPAjWZY6b1jv43vQZhVvNoPaujFKIyGhiKJXEtzfk8P6/qrzDI9n vGNQj+aclX9TWEH7+1/Q3tYCBjW7vKfsfm0VrfXHO7XDxazvJydSalG29N/8 tHv6199PfPh3PuVD5hvd9+UMqomTb/OZvhZaVXD6oOwnBpU3zOLKMtNmWljG 7qxrlQyqvQhb5munPMomR/oah2pmvzaKWG6AtUQdg3r7PTBc0dJHm5Ef3Pqt kUH9XX7xd3lvJi0v5K99YzPr+3m8MFYm2MKgzlk8vDc1WUvpfzL4rLOdQc2x L5RsqumiGCSpZO/uYOb/Wvr/JMpP8CfrfdhWL8Kubla/Wo8Jq8QeBtVZK8VN 3GmE4nRTcuH6AIOqqHBC9qjLH0pgQULp+kEGtZR6o8o1OIEymh3yX+UfBtVT jLLOqfcn5ciTQOPfowzqio0KhYeCg2jyhi4/6BN4f5tuyqlNYuFuUwyq40u2 fDvjbxTvh7q9h+YYVL9gznHTnOcUmlPiVuICnm/BVhi9kWeSwcDc2a1rV/g/ 4ShrKA== "]]}, Annotation[#, "Charting`Private`Tag$29974#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF1Hk8VN//B/BBaYqQJImi0CZps3Xf9w6yhIQ2SppEEaKSlLKkpPChSBRF IkQkZLmYrJWQUtZEIUmaFqUov8/nnuP7m39mno/X+7zPcuceRXt3K0dBFovl JMBi/fdt4tjfyPvgSP77k7NSIgyKPIMnbe/SpNR/zY8U1DsGLcsH4o8fMqBu zu/bkCvjDmwr9aK8P9spua7VHzyHTMC0rjknfo4Dxfrv4z2nxFFpb8L6sn1U 4HvnQw5eIiWFr463HKt3peJ2iNa42g4SA2eaKvdEH0L1nD90tuafVWPSnlRB Vsu+0pJPdKW+7IOKOC+U+38g9GPqbO3rvKmy6febmv900XGC3DTlJB88/g0t bq7jcOHsKeqL7L8byvhBe87wDxzc70d9HxL75CyUR39zGBF6Jx1AnbzR0iN4 VaDEcFLIxhHhQGqseFr/jubpIK1xTj9szhlqpeP4+HiZUMmjTfqrTkiepS78 rhMXedhNmIinE6VxQWg+ViNNcD3u7O8KohYvLORaRL6iDd8XdX2ef57qC3vQ MpnVSrja2eWc23MB178lMm+Y//aeGULp8538mo5m07tfOryTCAyj3KdITYem Idq6qtVrQ+o/1KpB9tvb4720vYhUSOHpcMpK85pP+HA//fzTbl77lgiKzti5 JMTvHeGVpR5pOhxBLTvv/2T+wy5i+RSqoL7+IlX4bY9+TGQDsVW7/gjP8hI1 Gtoz6aPVF3oguWTq1+ZLeD3v6Kpdwsal3pHYT+ja4Etl91sjqXlnP1oWkOlE QXT1JGVuFLVBa9DEXTCb3na2S3DhzsuonssnJLTW7MmbEk2tOR3m0r7xOy06 fMivOC4a92un32cUlZyDK/j5vSY2KIV7iNBXqHNmtlNzbTPoHQbHt1yXiqGy 9fu01oQ9o9uunDH22xVLFUuJx8/Pq6U3h77OL+DFTpw3UelAbF34J5Y6wU6V lszIpaeOHVxtKXgN5w+JnvsPDsknYfsP0WUurOwP+nE4H6CvLtwwlNcz4Xxi /U+5AfPIeMp9x7eGS9erCcvItgPmKtdx3kGfWcS9opJ9nSqx/DHz7q8smi3k +r5v/w2c5xCHd7VdspmUMGF6n9zL+VKQQLF1deT+XGuhVQaKV2VnJFCvbB9/ MKSqCJ1DRvyQ4Yn6V/TiOhfxrwaJ2JXErCURatbRE24ltHxqpyx6l0hpqKWb yszpJfhdLa5Kmjdxnk13En9CLpybcCpRG6N4h9884XKi4LvBk22Lk7AjiNww sTHaO4lyHopqHhpvp/d+953R9DKJmhHMrkz52kMEsO8vOj/nFq5vIpSEVO+o eSVPPE+i+s8ttabnKdgvCBmfPXyVgNv/y51H5HOOr0idOD9CUnNMMilowuV0 0dG2I09fY/t3EXtzC5qG16RhfyREv0WvnR/6/85beTTa+N2Ehwk7j80/D+mk 434fCOGsldbXLmL7fyayPokXVvZjc74S1qpDc4aoOzj/SrBcnp6YfQWbNUKk paW3c4awOT8Jq/5g4oBBBs7/EKMq++Mj4zIm7ifilqPBX/rbRC4IZrcW7u4z ycQWgOG3Ajzxm9gKk8CQWxpgb3H3f455fUI/7y82Vxh05WxudW7NQuZNgYEd mpPZmdgsEXjydNp9GcFsvH4xmDd4fG/mcmyuGBwW+TBTzwabPwOql1pXvjqD zZsB7s4ayqwObA8pqAxOfhk15R5ez2yQSZUKWrIau0saXGsCNUrtsCPmAK/v a5/VBWx/WZAStr/yPg+bJwfOyo1GJ7snxs+D0vWcEYnpOXg+BZB0yEpN1sJe rAj7AufZ6DhgsxdA8c2wqQ3h2N4LQaJ8rHBv8YSVwKHb5cBIH3aBChSw2mXD JO/j/S8CUQWTWkUSO3sxcKlCn3xnbKelkGe3WNX0Mra6KkzzvdLxhoftsRzs 4oXDPAexLVZADn0Upsrk4v2qg3BHz6d4fWzuStgxuvn6Kndsz1WQJVthXnN1 on41WNskZvG/YD9dC5/bt0y7KZuH3KQBQXZsx8362ApaINddXDbJFdtBG+7v dZfNj8L21gGTvgVH95dg96yDLqdXDTJ92OoAYgfhrI9mPrIsB5L5/DeqXOw+ DhBHbul0BmOn68KL4e2Xw+9hH9SDA94ifE4b9np9EBgtNfkq+ABZbz3EnDqc nLQMW8kAqk637hA+hb3KCGwnh+U9SMbWMoav5zgSzvXY5AZQCLtdVTu/ADnB FB6I71Q4ZYz9yAzML4n5qB3CljGHk1eOql8sx95lATNll4TofcSebQnpcR29 32YW4vO1hOZE/WvbHLF3boZVGTOE5dhFyDXb4LFaFbdOHTt7O3DveRf72mCn WENY/huP7nTs/B2gpB1Ze+kFdsNOKCo2VFk/ht1mC/28zPaUjcXIy3eDn/4e DWsvZH91LkhXS12cegPnDVzQr/UxdOXjfKE9XH+54d7KSBrlUxxhrfUfkXfF yP7PHeFpW/a+qB6cx++DX29my/1cW4JyCyeIsK/1SrVDZq11BpVe30abczif fwC2DPQG0S04F3aFj66x3W4CpSgXcYPTn82I+Uuxpx2E7O/3vwT4IHNkPUBk PMDWaF4ZsudhiHHebqdqiMyaeQSUmlS5Mw5i5x0BMq15b3sJrmcfhcK06LwH ajzkj8eAtTtAI10PmZftDYZSrg/itmH7HIcXvrqFAb64foEPfNo8SJvW8/D7 7gtrpjYD+RbnGX5wovRhqfoPZP/N/jBlyRXerHkPUb1NACj+1a1844bMCwsE p/uqBs8DsJXOwF2n2dWVl5E5vDOw7sVgTVoJsj8rCLamXqk9Mr0c9csNhrhd p832KWK7noe3km511muROUsugPspvQbYVY73FwLnrT49n5KJ89//wLMpLZt/ 87DbwkG6pLxpsAnZf3cEJC2KedU4hvtvvAglY3pt18wqUD+TSJiUs3znP1zs xkgw2S/T4e+JrGAbBc2Nn147xiFzTlyGLykx3SsGkbldV0DLNtB+AasSzXc6 BnxnHHwnJVWJ1x8LIif1e3+tQ2YFXAVly6H+ihDkLm48yPoZ6exPRFZYcx0k MhNCpj3AFr0Bv9mb1SzfIqvvS4BnvAdHOrWqGPONbkLVkERVgDnys5qbUCR3 QFrZAZljkgTJ3nKFLuHICja34IR6wN+RXmRefAq427VtihtFVte8DQ6hqxOp GdWMs5tuw6b+Xv0gAllBNg2UEkzOz4xE5j2/A3Pqk9ryU5G7LmSA2NjYsh2l yOpGmfBre1Z9wgdc//Qu1ItLSalxatB6he9BBbg5Nm5FLvC8BwUu1fmeLsgS vfcgqcbbpjga2bouB7z9Xl83/oQ8QueCW6YG/6PgI7ReKg/s28N1w2WQtary gPxoWj8Kjyjzk+eX0/fzYcHnlCV7r6Kcr1QIs+VZPsLZyF1lhSBqavM0rQpZ xq4IfqaIuPP5yBG3iuGpnUfuKaPHaL6dpXCsXpuK+Y48wikHMbW83sfsJ4yd ksvhVph66Kgc8jORCmg0W9RqZ4Ds2lkBy2qljihHI0vFVUH50og529ORH0lU g/UFEV5wKXLGuWo4u0Fw+mAf8uKTNfCm5nNKjmYt/n89Bq9FLht7TJG12E9A 9Fzft1lcnF96AtqGrznHg5GVMmshsvJJG9WK64XqwehhsljdiaeMTeIaoVNB Me/vP8ihPxrB0z9up3oS8j6r55BIRaZG1iKzxV/AaIm/3g65Osb9cU1wSX6s P0QduW3SS1h86lh4yXrkqIMvYStxsEPBDbnA6BVkFe30el+CbDajBQxlm+Xm PEfmBbdAx3GrCpM+ZBPBVpiqvUHirlg949zRVtj7QCPdczcye2oHzM6d0Skg 0MC40qQLbENHt/RII7+90QU3HXprq1WRo350geqswsIQa+Sq1G7Q8+JenpWN vFjxHQSbm4iOVCFHB76DOpU1gW3tyHXv30HGx8CCBqFnjOm8HtCI254StQLZ w6kPbIKfdp/VQZ7e1gcnPXXljxkg5298Dw/NlkXZ7ETesK4fzP78DZh3Dvmo +gDssUvZldqJLBkyBGdM5sbGfkDOUPwMKRoRTRe+I/OLPsOg2AlTt2mNjKtP 8MGrbKP2Kg3G/hrVXyD2TrnnQl3kfLmvQF/RzJYyQ/V5nl9BwENx0c89KN+0 5BuEKgxL0WHIccnf4a7oAYvMGORG9jA0jnSGXE9CLnQbBunGR4IBhcjlxA9I DIjjG/Qi+/J/Qv5b/acNxHNmPu28UXhlHPAlzAi5es0Y/LhbKm1mxdjfPX8M NH209zzaj/I1vD9QMHPFD94llHsPjUPLcde5fvGMOe8pFjnyJo0DqSivOM8i tTKUQgpLGPPkFQXIwvWyCjn9yO/tBMm29O0GHt9Q/2v3BMnfEpcPqP1F/ZIn C5E6r8Xz0me+YOqb7gmRRUcnmySRyCvnTibpFP6RqCjkBg022SGqFmt14wV6 fxLZ5Nhhl1KJdMb+o9OnkkD1scPKGHOmD04lS5vb488OIBeUiJCdMKdCfxiN r9YQJf8mbesXYDUx/UvuiZKkR+Mq31mMOWczp5Nl7JoaLw5jf8MScbLr4KRP a0wZczUWSpCsl7qS37YyTuhwkiA5ibStuwsaf+inBMnTzvmyP7oJ3d8LJMny A/FzbQbRfM/uSZH3P7i42P1AThCaRd5y0iney3rJjI/fNos8u695x0Epxgmq LGnS2H7G1UCCMXe2/WyyweaszN1QVP/RQZbktWx2uh/NmBVUK0tmb19QUJDA 2D9q9Vzy0tay7RW5yPPZcuQ2y1/RLR2ov0+FPNlh7DZLaPkrpv9whQJZV7PO ka3JmCc9SZEsNZyWN12XsYS8gSJ5Y/3tLTJbGSv0PFYk7TndkctPMebkdC4g +zW3SlrXMebP1VImW/MX2u9qRp4crEw+Wfv1nn03MrtVmbyzOtzSbRjZyVeF PLjiccRp+WZmfSOvFpHDKiCe6YZcXL6UJN/q1VzwZqx+WG0ZGRRv7OcUyFih 9NoyUlpqy+eFsYy5qj6qpIaAS8PVSsZ8IXM10rs9Jjx4bst/LvBQWknyoq8b 7VNhrLXDaSXJtro1rr+SsTeVuZKMfZTlPm7IWEJEZxVZlFe9yesw4xg2dzU5 Fv5d3OExY4sXXWvJ9aa/a3SbGC9epqFBhgr/e+5v0HxFoRqk/CkRftt3xgkX QZMkDyx4ZqnQyuwn+q4W6bfeIoI6hvyucR35aHyrsfxpxtxqgiAlineyRkMZ KyxNI8iElfs98m8y5p0LApI3z9dieT1jGdUtFCn4647EXOU2pv7jDV1ybp3e N2oFY+9lnbrkmsTWlw7ajLO15fVIxw1Trt3dyPjR43g98lGsvbKeF+O48VR9 Mlxnjo5zTRu6PwcMyFSxbLl/GhknOGsYkry3huM57Yw5RYGG5NcLnpVjnxlL WCkakdvaG8wjZNr/M53tZEzKnQza+8CZsfrAUlNyrYW8YccRxgXrg01Jc6Xc xQK+jLfU9pmSfk+7P5lcQuMP3DYj38qBd2cRY4ttmuZkWsm30MmiHf85P+KJ BVl+8YL7UmnGQSeELMk2R0WrTQqMr8qAJSkqtml27BrGTcdzLEkPu/RE1V2M o0VSrMiFssadHtGMlbIlt5D/B5tsLU0= "]], LineBox[CompressedData[" 1:eJwl13k4lOsbB/ChzZEjlWxRKkly5JQaOblNUpEle7QgITpEE8mWSSplDzWy jaUs0c+uVaPGEjNvKZSsRZaypY6icn7u5/w187m+93s/9/O8c831vqucvCxc hGk0mpIQjYaf6w3Hqmxud+jOfv2ukGYFR5NX7qM/IWbzta0hlt41INdKPBNe aw1DXgdl3/8iFlk1aAMpPdZB3iadaKVhazsoUS83cNpPPL8lxw7qgySXWR0h zi+btoN/ZF4V0n2JPzplHQBTc7PumRTi2DraIRB6slcvapg4dP2oPchI5IuH TBJLCMwcQN3+t3ZvWhd6a2KZAxyYrjtlJUn8+rmuI5Rt2nVz+XbikenFR8A1 S1ckP4I4SK/ZCYI+pzUnJxIrBC46CvG6M5yodOIUR6OjwG1/uO1kKbHLtpqj ICup/bdWO7GrdbUz8MM0qVrVbvTPrg5X0F7UKBy3hXh36/pjkJt0hH6QQez+ yO8YnL8TzRmzJn7pIuUG2m8GmTLniJ8cd3CH3A2p0sdfE0tXrvYAqYrNxprv iQ2+hXhAGKOBNTNMfNuqywOK8n/4GAr1oB1OpXlCxGOVrk4p4vHral6gNxRa NF+PuD13x0nwV6ca/t5DbD3hfxKKTsl+eGGMZqX1lZyEFTP/k03eT1zVoMyE qSWdoRs9iVnPpU5B0Xa6tS2bXC9/UNYXBs6Fej1KJfka8cO+sKJOcHl1Fsll wjN8IdLcuWq4kOR9b9ROg5tr3LpzT0l+dZ2JH6yM/TSVN0pyKasKf6g6EpJX 8oXk3T+FAsB+81K7B9+JU7xNAyClVfsuX/gd1rtzhwJARuHK6TEpYuOtqkGw JF/li6Yusat681koDnyYqaNP7Ov5RwiYmZhZ7DZE0wauXQqBmHG/4v2WJE+3 XckCMXqdV8AxNPfsyg4WzOO5DD+OIfmMuWcoZCdOJdcnELvUZISC/rEoo6Yk NOPs49ZQCBUtz3+fRfo7G+udhxmzue7z7hILhlaGwffOzA97e0j/c7qTF+DT t+6uFo33aNXlMleg4ljMk71b0bS3TS5XgPUabj3+izjOpuwKSFWmeubtRrNU mywjQO/0wZ9Bh4gXPUqJhBtfW2WVwkl92wLbGHBxvviLHUX6/3mmNAY0mre8 +z2eeGpoQSzUlibkfksl9YX5LrHwmWlBbywl+ehb5Tgw+CywYnaje+a/4l6F pUeCtQb60IqVByevQtcLNflDH0n9iLtaPPgURfTu+od43vIb8ZDuZciUXdg7 a8eq4cAEmBzhxXC3onuWax24BtkfHzSIR6M5kh/Cb8CJ6/vWHI9H03pant8A un5vYA0brWjqJp0MDamifwRloVmM07nJ8NnMLmboLulXa/kyBaBy0pLXS7yY tjsdRJyvFKwcQjPywq+nw0uJFfMCR0me/XQoHVyO76r4cwptFqhqwIFIhQSZ dPE+nFdO6AsH2s7/2em/Dc3i0A9kQqZGzZYWQNP2C8IzwaPTNlpDv4/cT15l JtDoLN0BU1Kv1SaVBcofqQwrZ2LN/LYs8DHzcN0YQ65vs2XeBHGFnLG+PrT3 bvqXXGDYnO/sHUJrBPWo5gEzxqHx/Si6aN8npzxoFZLJ6fmOlpBb15wHaf3h 9h1iH3B/oowH+aBedFzwShNdJKedUgAmO9VvPwlDiyyOsy6Cs0GiSdWX0W4b eH5FUFTef5EbjaYtULtRBJIq6U5VbPSg0Y3uIugQk5C7X4CObZ/wKAaP1s/h xc3o3O3pcSUQ6V7uylHqn7XM8Jw55fCRURi+UBWttd5mYznskbmZf3oj2ruw /2A5CNcljBpro0XWPCkvB38ln9NT+9CKfg4eFeDavemiRSD6zdYlHyphh3XR zbkv0W6lz4UfwCTjdp9byMCseaUwwoWH2Z+S/cLQWlPLRKohVETN8uJldNGF n6urQfxFQXVWPJomNWlbDcoOd9K6ctDcTXE11WATXGxr9QL9NWBpxhMov1fJ 1101iPPy7Ox5EKDw/bypMlrFxCqAB4xzWn8d3oDONTW7xgO+wb28gC1obtJe igd9r+9fLDdEs+dtgxqQnHzE2MAk5gQr1ILPJl6Z1FO0caF1Sx24aipy4urR BeykiTqw3RoUIUah3a7WLaqHv7Q1nYTb0NlTnYb1IKyXvWh0FM1Y8/ZhPcSY hx2vkRuatUf7ltRnwLLssWYooiNX5Nx9Bkzr7TserEXXF0+8egY2dl+lizXQ HWxJ0QaQP+Jck7IbrcR18WmAfG99RR8m2ni+EaMRUpichWN+xCd7bBshyufn pHsw+s0DONkI3mfKBA7h6O3O5hmNQGcpBRqlocX+uTPTCCqhLNfaLLSG7d/L +CAX1mG+Iw8t4z6wgQ8zlxJU6GVokY+ytnzgxcxtXd2AZiXtKeRDRZxjdepz 9HhGTzUfcuMfFsi0EE9sbOVDxHWf8+I9ZL8lw7/4YJHepzH9D5rj88hQAPoZ DHnfH2i1uIGDAtiSlbJgnPYR1/Ov8hSATI5V14eFaJ9PnrEC6L7Di2hahVbc WNIkgBcjc4c3rUM7H3zbIwCu2i7jBDW0m3bemAA4+TVi++noN+lbxSiIHZrn eXc7OntsQpaCcyq7BbJ6aPkL5usocLpVG9VhjNZQ+MygwOLD/FEdC9JvfKMJ BTuV9pim70dz8sXsKFDKrBN3ckI/PJfsRYHkuwVeT4+h688YBVAwT9HguZIn Wm1hYhgF/an1MQN+aIPa8esUtHaIjBsEoyVbaBkU1C03NMsPRScY3cqjZp9P nkl4RqEP7Su8RwH7zW8nqato/SaxagouS+9t2shGG2f/qqPgeGJD3EQmWgxi mik40Cw6YZlL+omqv6XAaKmRRXkhyTUPdFOw3SKiRKqUnN/TJX0UqMU1Ljlz l+yfZzNIgfyLhafaHqFT9NcOUyC2yPiV9lNyftbBYxT8NIncnFJP7sdC+wkK RiL58b8EaF5g7VcKuhrFvtq/Iv2ryycpoERNrLhv0H3fVb9TUGUYVbaqi+xP b+0UBXfCBZLne9Fm1VmzTqv73bdvEB2WcnPWMfNNW3aNkvObWT9r1q7oLTlf 0GxJjdl+3mFUosgU+qdE5ex6jk/FJ91n0D0qVbPzmAvvs2mc82nWZxL1Z+fV 2xFTofYbWjLBcHY/m2afoqLF0eMu/E8UrH68yG9sKTrBjD9AwdKZfa/NZNFl qQa9FMzViaWXrEA7JjO6KPga+OL6UiW0RkrpGwr67kt891mPNvjGeUlBy5SZ bas62kNEhE9BrVbcXbomWl5jkEdBhV+TTNI2NO8V4xEFtyoW+08D+uHhxeUU XP/HvO2gPtpHx66AgjOnXiat2IcOajFOosCtZMl0iBX6xcVv0RTYfbY48M4O LcaSnv39aXu9kst2Jvs5U+5BgeqdpYHzjpP5Ujc5UiA3Ytnu6oUetlpjScGP 483J6wPQuSL2dAqsth6OUw9B88/nrqegQKj/4uYw9GCm33IK7NnfTupEo7VG Mn8JoLpGzsA8Ey2To/JQAHJxWTo2OcRS8fkCYB5S23ywAF3wicUWgNIXnRUu FeR8o/uZArikeOTrmQZ00c62VQLo+TQ0FPwc3WNuLyYArUpmd2gzenu36yQf PpqENUR2oZ3HhZ/xwSQwh8OZQItE/O3Gh6WtI8b1csN4v17SYxvBI+O0nmAl uu9/i041As/jX/pLJbQK18u6EU7PWbymQx2tcblBphHaNDSnxvTQ2QXTSQ2Q HhFwU/pv9N2I9ovP4LvNnGR5b3RQU6jTMzBbHRm7ypf0K3uk8wyE76UGbghB G6+dmKgHl36uuW48mruWaVsPG3YsmHF9gB40bZCom31/uL3uDRdtO3j1fS1o SpqZG9aiRTQmSmth+wA7e0MTme/3IOtaMI1SNRrvR3uLTsTXALPNhO2/ZAT/ f201aDy4dzJhU6Q7mnFD+xYXoF3r0K8TaLadlBcXnuh3Xjjhg1aSb6FzoUFa uc0shNR3iV99DB2PKkOWJaJ7dim3PAKaaDs/jYs2YE3Y3Yc9mauOFUuP4jwZ whGloMkWV66VR0vYpKmUgmL0j763q0gueb+2BKb9W5zmqqFFlC7NLYFC88v2 +xno8V6xS0WwVOiz9S83NMf8vu1toH3rlFxygliiNzcfhocbXimfQrM4xdN5 UPsm29wsGO046JqVC/5FtiZZcejYEm3RW9DtwNU3vI/meh/ekgF868I59o9J PW19NgfuGt14wuShaefWLuPAVboPI4UieUTKj1TYtUhl+9h7st6Zv1qSYNO8 ZT/mDJJc3Ok1G1b8ELovM4JWXGDZdR2+97fT9b6he4IeTyfC7aqYzYkLx7A+ v/nEVWCXBU3kSRAPHGXHQVi+e3HVMmL6/LpYsL+2c+PgSjSjR/tYNBhFaoz+ VEJzR7V7I0ErVKFwsSrJo6LcI2DxiW+qf2miWcEGieEwc7RvaN82kh95qH0J Pto15ToD8WDSxwvA23VbOdqA1GsluZ8HPwWH1e8OES8RfxYMTmYaNh1HiNde 4AWC6XmhK69d0bRa6pU/KA9lfRZ4E8dc/OM0LJH3XfvMl7j3iZ8P/DLdbccL IP7p2cKE5rJB7v0w4q+/J3oBd+De1/LLxKqmTz3gtlyESnE08SlN6eNwzeTQ oYJ4YmXH2GMQyvojNodN/NBN3QVOlM48zUwlvtI57gR2/c+/pWYSR+x67Qga xkyHhAJizcfLD4B8yM74mGLiq/33bGBBiWTdlQris/7JljDR92H6wgPiFesf m0GXdKX6OS6x1Zo9xtCwN9wpqIaYzYzeA+XBdtf8Gv6zgvlO4BSpNjCfE0tw pHUhsvfHL89m4vp/fbXgjJTgT/c2YrOm8k1w1DDNxbmLmCaZtgFMg7ySHHqJ FeWYa0D7fwzBgUFiR4t8WVB+v1jIZoSYe5YvDouX9WqaTxCz3t35V+fnnjI3 42//9ZMyGNTR1Wy9VDv9n40LX+j8H1G64bo= "]], LineBox[CompressedData[" 1:eJwt13c81VEbAHCKsgkN8malkKKohJ6UsklGybyJKDNbA2WPJCJJ2ZIIdcl2 ExnX/VlZiSTrNUoZkdHrnN6/7v1+nuc85znrfj5X2MpZ32YDHR0dPz0dHfr8 OsJbkbRh5sT6VzrtvNbjWqIjh/mZsP0TKjcBpYLW8ojln98r8cKR88VXt7Jj C51cFoTcH882xnJiK8tY7QWRsJCnXNz/nCctAwkiLkejeLFDbwUcBo4K4zbW 7djGXWRFCDQ6aR/Ghz1HsTkJS98lGDcLYI/b2J4Bp1Du5MBd2PINQxowLLws v0EY+6FIny6YlH9r9xPFflUtoQ+ths0Oq2LYreZ7jUD1O3nTTXHsilpbY6gI eZqyKInNdGzKFA4JByt47sfOnSyyhOdlTh9npbEdV4cugYDhBafrh7C1Szms IWb6BNMPOezXWRZXwFdoi9LEMeyhQQd7mCtd6rRVwi5a2+cE1wyGnEcA2V/D O9QFjILfpA+q4HgNkeUGTYJJxy1UsW0W9D1AuTSwu08d519L4vYCqSkj1m4d bNW25htQYqhdHa6H82u9Zm+BSuUpNzDAjvc96AcmUdJ9mcY4X+nP0h0YXRC7 f9EUWVkDlALA1VJAhd0Cx9O0wgMhTIb5pftlPH6tViMEeB//tRC/gkyJ2l8e Cin0C9yf7bCfGsuHQ0n70A0VJ5zP0Gd0D0bdKzS5fZBJefIcMeDa/3qt7ibO z3Ccj4HVMy9e+/jiOFl/KBZ4t8fzfw3A4wMYaXGgUuo8kR+F+/veOvwYUlZF wnUykFvj/oSmgtQVPqB/juySx7M3Dd4SnL/IL7BDouvTgEheuSiQj+ebiOLM gNWTXRKTpcgy5wLLssAkOKwxtAV5cHjINRd4OGeYav/g+hKa98jQXhkeorGK nP0oaoYMMQ5im1r+IusVyxsWAXeTycZPDD/XndCXLVAM3EF1qz84kL3zrAvf Atdy4q+dosgk3/yRMmAbO/PZTQvZjNKSQ4HmuEGTJR1k9erGfgpEnr7Z66uH XNCXyfUOWNMKusKMkMmWyx7vgMV8Z1uyJc736YcaYOqYqaO6IUvNpNS/B4bq J/miScgMZXHPP8AnpdPqX54hr3gHdX2A/LKpwcRUPN6dlbEeTIqPc3M/R+Zd bCfVQ2HeF3e618itNkI8DWCRJKrQX48cGWN8qRHk+JvbE5qQc9cmQhuBOcHd 3pCG11e9nN8I5Ni6JGo79qvYlUZgjbD9W9qP64X73W+CEp+XtfGzyELqN55Q Ieq3gbn+ArLewO0yKlz2WJlnX0KWYf3VQwWO6zp7g9bwfrJI8jaDjd2PMDfm X+s+TaUGNIPC6CMRaTbkWjq1Z83AZa1cPsGBXHBTuqQZKiwfTF3iRf6orDbR DNwXZM/qCSK7fI5Uo8H4x74xVhHk4Q4HcxpU6gf61+9GNh4vcaWBnW5nIUgi kx3jntAAmm9r/pFCHpwTy6cBj+aeb0XSyIZ1IjU0qDrjxbv/MPa7S6M0ePhe MG/8KLLQiYzfNLh6suFMhgKyXI4BEwG8x/m8dioj6yn+2UuAvVx5L7MW8oyj E4kASmtnbokOcobyqAMBWx1n/Gz1kMWJdm8CqjPF9tQZIX+uY72/Xu+U8pKb Ma7He/ExAVcHTJpFTHF8RCCdAJ7t0a7+JOTmbSxFBNi9yTkjfRk5OkiukoDK s3U7BmyQ2eK7awngnvoyGWmH5/88SyXANvRPlaI99q+wdgIqdm+NmXBElvJM 7CFgyztpm8cuyDtY9gwQcMVcU17dDZ+P0f5vBJQvWbP+9sD9MxaOEcAV7zeQ 6Y2c3VA4SYDNocRCw5vI44YyPwgoI8iBG31xv1b7fxHAad9y4bU/Min/xRwB 1psnJC8F4PNezlwgoDSdYY0zGLmCTXSRAA5lwbaqUGSzl8JLBFz+fCzDMQKZ KyNt3SXehl4CUci767PWzb7VWZMajaw9fmDdVoVh/7kRi897QHG93tv1Hx/x eGTrIGJ9PraJqvfdCXi+0rH1fi4F98YHP0GmMw9d77dYZO7q4Wf4PhkUrq+H tZrj+HAK8lzA5SkCSKYSXLHpyD09yeMEFP1W+XYyC3kFbIcJYHloUTyTjetl lX0hwFLGJyz5Jb5PdE8+EUBujjXTfYWsfIq5kwDmq6+kVwuQcy9vaiHgTeq3 TpNifL77C98RwARr2cylyEqtpDICzD/tuFVSjt+DavprAjbz6Ipse4fvZ+lw KgFm+Xbzte/x/lFGEggo1ApocPuA96vg9vp9Mw0scWqj4v1w9bxJQIFQx0l/ AlndvNeFAMbKaV7pNmT/S902BOTPi5RHdiFTFrJ1Cdhoe2+z+lfkhEuUnQQY b8z+tPANOZKPn4OAvOSavMxR3E/EdjoCLvT8Ntg4hRy4Rv+NBi81rFKqFvD7 /vsmgwZyUsJwYgn388I2bv09cgz2VS/j/XnZHkSD1g7z7e/oZtF9NWy3ocGc +cWo9yzIQmEPRNbft6verYZdyOKrvfebod6Qk19DGHn4ofOtZtA7SrxtFEVm m2+yawarFa3ZJnEcT+tSboaQYLVrtEPIAjkm36nQmgjG7arIU0f6TlDh4u3V eX0N5NCkoxJUGLKsiO3QwvEeW24qzO1WaPmoh+udUBtuAr78w6rdJsjNXnzB TWD1XkrusxPyYG9dTSPMT/JzjcYjBx7oEmuAh0/H6pMeI5MO0jM3gOxZsp9B EnL08taperj+WucHJRX59C261/Uw7e1PPMlF3tH/U6keRhhHI8/VICtNM+h9 gE7BQubKaWRjaU+XWigyUNv48PQcOj/dqWoKhGqVBAmoIWeQZTMpYKYiwZSp gbyYGRFOgQ2yrOzFusg9Dk5GFNDlbtnWY4ycwsvVUw3jreclBRyRW2fjjlUB v+6VcxlxyC6RkQLlMH2mu0MqATlBX2WqDCjH1c8XJSIXqEtWlMGV/ZKmH5Jx PmO4WRm8YftuPf4CeZzpcXIpaFM9vKWqkL1DZKRLwE89KJk8isyl89ajCNot 7Mxk/ovj1WXaRbDbQ4svdxJZ2euXaBE0pW6JTZ9BHqT/204G3uWnwTF/kENP RsmSITuv2NGFY37d8l+j1l5DK/e4otQRZKYbIhUFICJBXXwuj5xwquxxAXic eFUkqoicfTLYqwD4HdyldyojjyeUyRaAdR2dKIsmst7X3eb5sOjFxzJujuyv +tE0D4T7NXvSg5ALDHozXkB4jWK+UShyCvu07Qv49VwqeHMEcmuT674XUOPK IWcfjeO57W+ywZqp/f6hJ8hClj2NzyFb9qLauwJkOrZElizg4tPc5fYGOzLx Yyb4rCnM7y5GjqbflJwJmo0C6aHlyC6jOw9nwqTF4NrZD7ge35ErGXAg3LZ4 oA+ZRC3qS4N4Z+N70QO43037ctPgr6GG9amvyDPqG2+nQavgPu6sUdxv+yfB NLhe9N3R8SfO99h+LRXIgx5iK5sWkLPPcaWAwtHAh3yHkFMK9io/gS4rviNP 5ZD9qU9XEsEt6lW30FFk5dG00kTIHenhF1dCpmSdP5wIux7uTz2iikyS05Z9 DBt+duUZmOD82/nqj+CZgMPZbjNkochX7I9AUZ3+p4klzp8+0BEP7sn75Kys cb56gWU8jOr4l7k44fzJp75xQM2RqL93F/c3f60jFuy6quy2BCEPKu5MiQWG DYYscSHIdE9OOMYCXPTVSYrEdvjKFAsFmzs6cuKxv7ueiYGH1rcG63OwPQU6 osFsV8sSfQd2m75nJHDwuRaVd2LX6IhGwjuerdc9evB6Dwq1RcAeZtPx8X7c r8lp6Qj4MTva1TKO45MX5sPgbuPam6dr2Oxiz0NArjbV+QL9b7Sf07WkEBir Or1vC8Nv3K/QzhDQJoenBTIjUxoZYoJha/K2B/a8OH9WPzQIst0POB2TxK5O iwsAE+c2iVkpPP7sCZMAYL/mPpIrjX3HVxD93ygzEzqM3Tvw8i4oaqpqbVbG 9XXWqHeAELQQ7zTC8UPe4v7gz08/HGWMnSo67QeyWzOS1U3xfF+cwv0ggWVi WwUJxymnGnzBat6DMd3+Xz/xerdhvunekMsdHBcrenADPrN22q0EYPOQVW5A jbbAj5Dgf/HABR+IJnKWn0Xg8SzRFj4g2V7PS4vD8UFheW+w6KVXk8jBLn/A 6Qmn+TVo5Fycv/ye5gH7TKMNlPNxXDUn0gMWP+8iXSDjuFgkmwfEDCr6BFVh S3jyusOHMY+XX9txfr+niivkilcedOzEvrCbzRVirzKULHZj73LovA6kyZha zn7suNqr1+HP9/z+42O4Xq/zYxeQXvgvZ+Lyv34H9jjBtqMH48XWsK+JNznC ipe3QCHdIrKhj5MjNC1tkmhgxO7ZU+YA1quipxY4sfXszO0hgcHCXX83toJR mx2sXd5+uG0PNotdkB1Yv2+dPyuB/R99BTuQuavipXMA2y49yxYa/orfUJfH Pvs39Ar8/jPrB9rYXm2u1mBmkqdcqYsdYSlrDTWlV+iVzmHfyZi7DFHevXeP ncdO0/K5DHsWqoLkSP/m6wu3gvM/wyIk3bH3X6eRoEJPRfuFJ/azuAQSiBSs sIn7YA8bWpPgu5NzlJgv9pzCsiUETRk+EAr9V9/QyQLIY4KPtiVhJxWHmQK/ Wu+FuGfYgSMHTcE/K2YHbyp2Dl+fCWjbMCZuycLODpYxgeGhiSS2gv/v55gx 8AwUpW2oxV48eOc8RLHdvv32A3aN0aHzwKJ42tihEbv15rARbEhoZ+8isP1r tIwgop5DmKcTOyE6xRD+B6dlpAU= "]], LineBox[CompressedData[" 1:eJxF1Hk8Vd33B/CbIZLMlSZTMiZS0XDWvhQyVVSaKMNDgyEaVBRuiiQVJSSV qagvEkJcY0ShzJWiIlMUyhTq/p7n7n1+/cX79Vlr7bXPOcg7uG914mEwGC7T GIz/fm66vvqmecs4899fN0vO3o5qy1W2WAxwPTFz+lZkPjygyv+D64yxcktU qZDDlzfMdXJuoCUq8jPMWzzB9Y9HQpYobY3DkjG+X/9ZetlCCxSSemvy9nyu 5W4/N0eCHxyaty7iWrF+nzk6L6T2WECO636ncTN0+kDu/iNLuE6O0jRDzvJN dQZaXOs9STVBxjdEkvsMuR436jRCZc+a/GONubbxDTNCej9i9lqZcb26CRkh 3S3qkkUWXKs0xBgipRnGvtesuU5JdTJA/D5nt685wnXlgPJ6lDXU/6voGNd2 f3r0keP+XXeNTnAd8+6hPirbovl122muz/dr6aPzCq1+hwO4ztU30kN8lav/ l3ATz9utDCiLSrRQi+G6tqOYQo6PRUfT73AdWmRNobLoLr3CBGybG+vQObfw 5repuJ89dy3ikRycJlLKNeOZlS7KuGCdFF7GtfEtHl3kMPXcfEEF16yL6Tqo tPN2pEo1zqNFdZB/rpnGhmauBZe3rETT9iXtOvUVvx/XO9oovV7iz59+3C9v rY3sNvomBAzg8/KltVGxltX3a8N4/ysRyxGLl/d86h88zy1GCzEe7HvULjHx n9MP3dZAz/vfHL47G/uVsgYK0bJcZiPNtVZv5lI0N3dDatMirkOV69TRsgqV /1WqcF2rLKuGhoXinQPUcR6ZrYryNi9QW7+Ma7urW1SRYfOsB/kruGbwBKog m84f99MQ7rflU0YKqq77XfRxvU+SEupx7VyiYsD1p19mSujY8JvEOBOcT0Ut QcG8BfHh27mWS1iviJ7KX7jj7cy1WHCtPPJ1YuzTdeN68MgFeWTwwGvRsDvX ekeZ8qhWyzXGzZNrj5QMOdTDtIy2Y3Edq2smi9LOvdy96Bw+L+eFDDpesWFe SwDO1U1lEGezTtS2S9hNFovQnH0LIowi8D4exxegD3HhVrw3sRunLUDxnbNm F9/imjUaOh9puDHC18ThffZmzUMGZzrDlqbgXEBUGh2NfnRZopTr4ocis1HO VPSF0jI8rzJbCk3tCzx7tALvt85OCl1YvNezvho/L5EcSRSTIrT32htc33tM An0WGd2xvgXP11SSQEpHPlv8+ID7778TR+mrcg22tuP62QbiqLzQaanEN1zv oySGhOQtlUoH8L6Jz0SRxTlK7ugPvJ8LJYpaNkpK1Y9h664UQd9riyfDeCa5 /QPrhJF0x4IqcWmu9ULuCaK9hgLlJfO5ZqStFUTxST8KjyzC9q0TQEtdX2TU KeB+YT4BpD9yIjpMg+ti6gw/CtzpEK6vhS0rw4+qn266MqSN57NK+NAOX0V/ y9W4P0GYDzkL1B8S34Dr32XyoEeHCv4pMcT1YvY8aLgqee8RY3z+TVEe5Bfq Z1m3CedXPKah8Hkaa8J24XksfQYqUA8SFD+M6/t1pkCncW7NNQ+clxVNQvqZ pDCpY9jOppMQX/N8vvQpbBGnCQhy59eQ9cf+mTYO06RvDMWex75hOA7exYrZ Chfw/MbWMXATN2AqheBcSnIMtmb6W2pE4Hzy6ghUWUvMeRSF817tETDgi2/R uoVz4zfDoGtV8s/KWGwDxWFYOMbxXPcQO+7VD+he6xNtUoj92G4Q7DqEbauK sXdJD0LLpZjFm55hb4wfgOoP+SkWldiaId8hw3eicGc99phXP6grB59714gd P9EHia/nGVu/wd7j0weRcmvq9n3Azg/6CmdKT3Y4dWFfz+6BEWeB5O4e8n0Y 9cBhyUjXQ33YkW+7wd4xe8R1EDt7WjcYTR8ROD6BfexgJ4ibHl3qLzLFtZN/ O8SWiM5cK46tvqQdtNak9g5JYke/+AybVXru28/Dtpn7GYKn75PXV8Tec+kj zPOd5IwrYQt/bYPkkai2dFXsdLM2qPjScEtOE/vU3Fbge2Yyh7EWW7C2Ba6v 7R7OobDLDFpAIeN8gzsTW4T9DvTiikI/GmDLZbwFH79VM4u2YM/Jb4bRdfIM XyfsEN0GCMgsbFt1ENuuth6k1G0KvjljK7nUw4r5kd57PbD3368Dj3HhEeo0 drN2LXDcHzYM+2AnZ72GK90bM1JYZF+B15DS7O++MJDs+6QGerPGeydDsc3X VMGppRGVmdexq+NegmDiiiSXCGzjWS9B6fphx/e3sBv7K8HhyJe2vPvY0jXP 4YNGbYMXG7tY4Bnc7RP34S3CHowtBYcH25Qul5B9qFLoVXxzKvY59peTJTC6 oG1RRS22I38x5L2TrbBowNbaUwQ+kfYeLU3kvNRC4JPsLP3WQs6zKQBxof4D Up3kvM950FihIX6nG/uTaR5EBbjnKX/Fzs1+CjLTfgqvGyDzInOhK+xYuej4 FHM8wcJ/U1E2GHUJTKXN+s3NLbIzYEaiyb3VYtgs4wyotr+0uVQCW6z1MWxr FYlrmosdK/wY7BpnG03JY9cKPgLFazsHAhRJvjkNurfcjBJVxtaKSoXDVQv7 FJZiD+qkwOnSxaEmOtgedx8AYjmtaVhN6nkeAA9KardZh804mAxBT9VWeehh F0MSRKQvb4kwxdYTuQfpd5iKX/aRft04+On9U8DenuQvY0FnZ1Jf6z/Y6bax kC8qmvnmILmvwl14zmrTrzqK/WlRDAjuvbbE2JPc58AtMFtjNKP8JJn3JBpq h1JrC8+Qfuub8N7BxzYjkLgpAmSYyzdoXiT7QwTYLehUSrmEbZd8A7oazL/f CyXzgsJh0GChz81okrtfgxXytXZzbpN9BsPgxO9zBtfvknmeYTD5pG/m5URs ucBQmK6cH81KI/OuXwYTXnff3+nkeZWGQMhHBQfvTNI/egnEo4JVj+eSetdg WDhjT+6BUuLQC2DbOSvmSxnxl0CILynxs68g96MCQdlbdaN1NZk3cR60+8ab NjeTPN4fPCtSnla9Jfkcf8hNsLtt/J748lkAm0rH9Z/IfQNYYFwT+XPVV7Iv 5QPBD8zeZPST+t1noCaAk6c5QOxzGraiA/6qw8SvvWDvIx3xRX+IC09A9p5x kVrGH+wRTxCZnid8jhdbb5UnFNuAYK8gNqv0GEgLcvhjZmIXSx2DI5nFvFtE SO50FBSEDDhZkiSXPQLeT/h/H5hDfM4DGuwqJubPI/Ut7nA+x3SUJUPOj3CD LkfLb+aqxKcPARKT7OOok/qQgxCZ39iTsYw47gAYS+z6Ir2S1H9ygtiCee1V OsRCTvDr4PuPvmuI1znCw6J9778g0v/YAXhc5N5F6pN81B6s57Q3mxqQ3Mge hN2c6tNNSN5qC4fnu744s51Y3Bqel2tUaO4kHt8NskcGytp3E3fsgtqKo8XG tsSdO0Dl2MrCSXviPis4KzOan+ZILGAF2p5eOVLOxMxtECy37kmFK/HhrdBR NZXh7U4cagnhCqy0T8eJpS3gW41+yvWTxGWbwciL96GRN7H3JrijWJ706wyx mjmMvQ68l+JHXGwKFqeNE2z9ie+bQLKSUJxEALG/MezxuRxzKpjY1AgyVLZE q18mNjCEmY1iUW1XiY0MgK0Wft3gBvH29SDVbBU2FknsoQ9uZ+defRhNnK4H Mm+jg8Vi6fsgYAXEnf3wkDhoNcw6KWBqn0q8UheiD7pJdD0idtSBTLM1CQNZ xHIrQQ/uuhzPIdZaAdXL+Ff+ekpMacNuOZcpHza9/3LoEq8r4yki1tOCo7y6 ly+U0PtoAmc4xkq4jLhSA0K6eGTCntP1S0H67cGu2S+IWWpw78WrtOgq4lOq oJ2/8qTsK7peBQpTopmJtXS9EpjdYQiqNhAbL4G3V/fXpjbRVgTHs9VR2m+J Vy8GX8coVaqVzuVBaMefoeKPxIJyELnRMc+wnb6/LKSraZlt6ab/XhYALIyQ bOyl3780vJw19X5XPzFDGnZw7BNbvxMPzoGOwQpXhyF639ng0a6xqvsn/byl YKrh+m+XUfr9isPF8l/lg+PEdmIwJ8f2iuckfX8xSEgu3zHxmzh2FmhFq8v6 MThkn1nAvhTWzctLLCcIJj5jj4L4iWMFwcHumd41IWK76XBmw9W6W6J0/3SY sWrkppwE8SdeiFCydrgnRefTQEG6RE1t7l8/mqH8M20efR4DqMmQ/BULiVkT VGX/j3O5MsR6E5RV2y5zkCdmjFHtrwulShfT+TDlXqLYaqREzx+hpjKC71Wp 0PU9VFDioJuFOj2/j5odsUOnSeOvl3kpVLRp0+6ijG2+7+zRpfv7qcZN2+Xc 1tJmMOyZeT1DFO0h6ruW3OMTTNpZlLdCoNekPu06SkCqX59lQDuZCuffKsS/ kXYDJTeWU3/RhHYHldqz6JaIOe1QdtDtALu2zbTbKMet35akWf6dpydg1eez nXYztZDNTt+0k/Zz9riH4olFe2iXUfoWK24ssOEwS2TSvm9Jf8ZOa/nJKLCl 81dUUl7nks32HCanpu/HzF311OoFpy74OnKYR4MuT7Uq5lDrf6lZLj1I17+j DO/cE9jhzGG2mR3UjCu4Q/1ymHhf5fb3vMa5DnG3PGinU+nVL/a7HKP9kpp5 iUF1HOcwD5XdEnefXkCpsO0nhLw4TLnHnOqgqRy2QR8jp+U0/b4HqWvrWS4X fTlMtPi1Z5FtNbvst3fjeRaHWdc2dEAu6Tl1/Wm4iXMAh2n5c1q/sF4NlVF4 t3reBfr76KKuHBO41nuRPj+X7azivvNpCP3+69lLeWd2nLvKYY76PX5i+r6f rTnFK+EVxmEeXu3Qknm6nz1ldD9J5cb/fz/srHRP7cpoer8udnbdS1WJ2xzm ibd+673j69gu8w0LDsTS572ljF6n+Osm0P7IDv0QpyF9j8PUEXOsf9nczm7T Xjg1msxh+t8cHA9SqKdeOni+2JPCYQZbW2k7sp6ws+LNok6k0f2v2aE7M/ca PabP/0yd2mInPCuLw/yianby1UgP27jEv6czm64vpWpyzfekP+Uwb2uGe83W GafGvrIMW/L/fZ5Lr4gq3MikWj4+XW1VRNdXs7PD5f8oltL3/UJdM7n4bLjs 7/soy3i88VkFh9lxaf9R4Oumqv0f9Sm+4DB9x4XzeRw/UcHp6zMvVHGYH7cq MFv2FlBLDhZLOtbQ81+w5+f42MrUcpgqzqO828Q+Ub9U+jTfNXCYYnz6Ynyz m9i5gWP/NDTR9SnsO79/lEu85TDn1lzMh4pyquduX+Kn1n+f351NCUozqymz e8uy1rf9/b6U9kR4SXwm9vhJ8Yj+Qe0d9P+zPvZrj+F9CZ0c5i6W/NeLpp1s 5xC53xd7OUwHUeXdZ2P5C/zy40oX9nGYkQ9X8nkl8RQMZQV+rfrGYRZ2rOqt Vf3I3nnXz7J/iMNUnNNqNRi7HFTMXT8WD9PP5zv7wJL5oYdHOUzepxESiQ/r 2MdjNnZtm+QwveL/aJxplixgOydoav0m9ZvFCyJlZ45wOFzrLRe7DP8HQDiY kQ== "]]}, Annotation[#, "Charting`Private`Tag$29974#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF1HlcTV0XB/BTUhEqJdUbShkiSQjZy2lQEiJJhZI0UFERInSLBtKkVAi3 SYMi0nxOrmZKKkMpNCmNJEVUvM/znn167z/3fj+/tdbZ++79OQo2Ljvt+AmC mM5HEP9+G9p11fK67Tb88/NbwmKKzncPEDBrWUMS6+SzHOqT6IZlPbdOu+mR IwF7euZ+uEML71TLzxo3IzNa8t/u/XyG3vKi/tEtGVuS+PfTvI62UzrI3fjE nryyQ99FJEOMznt7uuFUtTN5oT2vWd5Mku65+LrkQKQbU79DiM5YM64+JuVO Ord0VZWGq0OJrmxOccxJJj++ntaNfrHP5oUHedJV/f6z0T4Uw2+dsiDek8mv K4GokabtZd9z5Jeqf3YzQ4F2F+dc6HPwIve9/XFZO/4/9HfbkUntUt6kB39H hegWMVpfIHDbiOAFMs798LdlTbNASsNfN0jmItno+/fv32FVumK7rvqZmb6k 7/viZzG82bShaCoqjPFjnqezCJC16z2HFj/yz2bVdwbtCqD/Ob/l67xL5J6V 3NA5XEFwtrJ65H/gMlMfqgjpd4x+e0gEkku+75Y5K60I+9/YtotdCCItS5XV Phj/osxL353cnBxMjuot4Nx06qNsRCQD83xCyO8NAkmmpg1UXf9+XtOuUDKi 5kbt7G4JOPlALXzLcCjpLVSiY3C6HS0TInOrq8NI2c+BX8q+f6RM11Uf5xlf JUvK6sWXihF0TyI9ZbD+Kl4PAaWWggaFHuGMKQmoDLj6JPNdOHlXNYes2NyP ciPLBBZYR5CDeSn339lUoN2+LfyKe68x9a6DlNjaVQeyhCJJQXtfncL7fDBt 2M2rICaSyQmC/pyWT/tDFH6eBGxWCnEVoaLIVun309riJGCP3uldtyWjyfLS K9O/nhWHxqiLBl6W18n760u8TtxRBpMrH7JzedeZfkllKLFFporj18lJ9xwb piQthiljR1ca899kcqV58Ckzx21OPHaNDDxxIjK6dWOwh6gbipu/ZH3C5kjS G3/K9RiF3yJNDhatSrP4gYzDGx2NFt5m8pY2dHGRddTCjNtkxP7xpcGK45Tw JOfPnQ53mHxkOn3MsvGqhQCX8VoRsJd7M08SuOSi3A0Bfneb0cKeAvWMNC75 fHTR0S225UjTbdNA4DCud51EL37hJDqoF4tN0LOUQ1XNI7HV+Oi1npVCi9pj Sf+c+/f0e/npgZYGZ6U1cUzOHaA+ovHAy/7YRDWqjFa4N1DPuo/KHdJ7vntx PGOtFvQ4aMYY5RFPxmlXDogSrSgiLVhY8RnOXScDv9nW+MfLEkj+sIyAwuZe 1JBpHpx/PIFsFDdaU3frG6rzdeluKk/A80Yoz5JthpPnJeLz5QelSSr3VE8m Tqy/SnvqNPMX2MQQdYLT5eytdBe7iJr7pOxFqie2/AgqG09QfV2HrfWDckEX QsaVk/B+CZD2PDCw0BubM0bx8kjjHQ2su9HhkTmPTi9PZswbRzPXjM2M98Mm slH+icbjVR9YP6cOPs59PbwqBfs7Ne175Op5V7BrCMhacSLSoJ3NvyErV5Of bpqp+H4MIsEHK8xvhmHL/0IP+kXzSrqwiTZkrvJF5gt5D6/vLUU4VZ2ZHYWt 1YNSUlKbtL5gW/9AO7sCkKNeGs4/odGFDrfCY9Im9pdgp/eH+o5NcKmtCYr7 Ow3T8X6H0XAbH080Lp39/9BthRb5db+wOb2UvnWht82O+xP34evtmLbAJGyi FkV/OKOb9YfNx5C2nEXCR9MHuL+e6tmzZrJwOrZWL3peNTVTmj8D523U3L7T B9OXse5Bx0S6JXQssHkDqGyJecnbixkT/bKG5e5OGdhEPnI5rLGAeM/mbagk IPFNhNBD9nyQdLKkn/JKbF4n5Vx+QaPQis1/IV7nYOfOy9hcPpAUtIn6nMXm DejwgtpNZ1tZp6HCjVojYtMfYX+kZto+SE5ci815R9lfmGuhacvmPaggLmjK yxDW9UisaCzvYAE29yeybXVyHOlk8wSUSzTJBs3MxOttQdPkDSsVNmATX5E1 meeZfZj1IMqyWqyy5Rpb342mno9638xj3Y+sbgkGufdlsvcJPaJOwBTpx7if gwTff+q/pcu6Au0ZNbmt7oLN60IPZIuNym+weSsS0FT/u7fs/za3iH0w8O0x e97oa9OuqXGyWRPr8bMStjPRZf2ZkmsteCLgjE2UoMyDLrLZEf+vN+ycf8KB ZnMO1XLo7UvpTtaN6FTvpSXPZ2RjP0IzjoKv5xrWVShxYKBZxXrCFDqeoPkx gPVz6tWw2bWQh9icN8jRQ2RAq5F1DcU3Wmg4yJ+DXUdFnzuWGL80Z+J8VYmF hOkubOIVVerzbo/gOdbF1L7JQVk5iWz9KzToryV2uJrNX6JLU4ccZX/mTJy3 fFBSaeW8XOxclCO6V/6cAWuCNro6w1PVDbvlL9UhWfSm+To2p486G3VCLayI 9QglIascqNPL9ndTqTHvO75L5LHvA0prXqhWImL9nqqP1b252y6Pff9QR5V+ DgsFs26iBJJSd+Rls66jbipb3XNsxuZ1IPU0cUE54Xz2fYGeqZZav1DDJjqQ 9UOPgvMW2C0/0I+VKlJqPtjyBARlN7u2prL5OFJaF1559RU2dxLkF+gv3DiG bT2CjDf85gwrFeBcALp46U13t2FnCICX7gEN85PYhBBIlUmGTbnD1gtDmkFF b345drQ46FZ66jsPYDeIQeO25bFzZCi8P3FwrWkbrdbG7poNQiaRuzmO2MJS cPvN5ocrwrG50rDafFykvQB7sRxUNWbYR3zCNpADG0vbp3rTaTxvLvxqni33 czW2/HwItak8mWyFPaIICzvO11r4Y19RAtpBXUUkA1tsEezq6fCjGrBXKUOv 8/XWI3yFjD2WgM/XrWjeEuy+pSBzjIiq2YntqgoZQ5nfvD2xG5bDplMOW1cm YKetgI+/ZJM+VWGjlSDy13vfprlPGBtqQPRhMysVfeyNa0DptYq1+FHs3HXw cAO/zY9r2BrrYUNK/cEmGvsRgkqJdDteB3bFBlAhn2bWCfIY+2rBsaF7q0pl sd21IS8lMitHFTtKB4j93hqpOthDuqAv6ZwTsxtbWg9endfO8z6P3bgJZFep aLpfxe43AOtuqQL7u+w8Q+g36aO2VGMXbINVU+phQxt23nY4U/i0UO0HY07c DhBSjuLNmvsU36edYPTRW1tYnTHnhglEhDsX/dbD+c1d0GhgpttvgU2ZgsIf 7ZLmI7h+uhkcylTRq/PG1jSH+4dml5Vcw/WHLGBoDv+mnBTsyj2w/lVfeQqN jfaBT0C9QUwtdrIlVEDRs+AObPn9YJocVXl8ehGefwBiLH222itgS9tA28wj L8xXY4/bgMs5nZdgiV1vC9nqy3aouTEmWu1g7PPs2vm+OG+zh0s7++uE0nG+ 6DDUCDWY/Obh3MgRpOii132vcR7mBPGLot/WjuFc4SjQYzqNN7cWMx5yA4FH y/YGWzPmPTkGhg7S7znu2MHHob62/4NdDPbWEzDXv8HKPAN73UmwRcXNhiWM iWWn4Nvd6NblfYy1lp6Gtfsu2MwnShhrnoHz4kfbJSUZE8aeIHJWt+PXeuyb 52CB8Zeu4kBcb+ENsl6bNB1iGctL+4BYOjdwag5j61Yf+C1somrcxph38SIM aKR5Df3E/ba+0GE7uTZqeinTb+AHNbyc4x/XluL1BkDpF7FSbyPGnCWXIF/O UWqBLWOt1Zch0UMuzykE55ZX4Iya95+RDsY110LBxapxe8woY9f1YWB7ZWUs KV72P3O7w2B7V4euH2JMmITDRinymvJOxqFiEaC5MbqzyoGx9ZsIUOIaXpII x7lrJMhUxzdmJ+PcIApmjI0t3VOI5y2Ohl9mD6q53YxrRq9DtaikpKpWOePx W1AMR+xqTbHF70CuU1m2uxNjLWkuxJd7WBREMs7ViYXo4dpUqzTGRHMsBCsu HeMrYjziFQceXh9uG/QzNq+JhyPpGgO9/BXMPE4C2DSFaIdIMxZenQjrqIT+ WcqM5YsT4b+SJv0R "]], LineBox[CompressedData[" 1:eJwt13k4lG8XB/Ahxa8k2ROFIklSSVHPMXYVQoQs2RKpSBKlDEm2GUqJyhJa SEJIWRqyJVu27EZJCCEphV73/bz/4HN9zzn3Ms9zQdLB3eQ4O4VCWb74BX3X FP2R2W9Srbb4I8Viz2NCWJxyaVkWaa6qdIL7oGVtWgVpytOnxK9HK9wnJkhH BT8jam09ci/rvsNOqs4iyiLeLZW0IT1gkk28fC1lXu5J2qg/m0gWap1dnkC6 /b8XxIV6FbXYadJ29DyCRyHvyzuuGuz7W/OJVLpixF8x0gJN+cQH/U0dttqk RTYVEFveC5yTjiE9x1FIlMlFrTFPJ91dVUhYhK1ghpSQzoosIq7tZ185Oki6 fGsJ0Vf1/VHO7vfYYc1MwnuTm8HAQdLW+0sJ7uuDPwTtSEuVlRIqOj1U3xDS QkVlRHR5TadaB2n2lnJCbqNOwNkx0gP2FQTzaummFLZa7JmpCmJMo8BrmRxp i/VVhG7pQ566i6Rlkt8RvRKSeQsM0tz6NYQX7b6VYgrp+tka4oFa9JPo9/+f Z1dL/C2maRwVqyPv166BuCk+NxSuSPqCYCMhe/lCZLEW6RG/RsJs35luidOk 35p8IJ6/tvL+Wky6RbSZ0BH9KLamiTRfdDPR7Wvy9sAg6c6VLcR/Kvt5M3nq sY1XtBKOL5XTvY6R3rrpIyGcu7qXja0B23K8i7CO+Gs6IES6N6WbSHb68r5S nvQ5mx5CXvDVq3AL0pPdvYSGt91twSzSTM5+IsTwAPfvCmza83P9RJ2M0tXO LtIT/f1ExrerBQ1LGnF9YsUnQvm++aNb20iz0gcIy5Da/muq2LTHcl8IPy91 8QvapOWefSFK9bfcsrQi7fZ6kNCfXwhYd53s9/o1RNjbPrJ50kvmVpzjRNCB tXFxw6T9C8aJR8pRLWHTpHed/k6M8lw8eHr5B2RmuccE4f3GQGWHMjaN9XeS iHta5rVBncxvO04RRXd2ZwnoY1OO1E0RbB6Sm37ZY1OFH/8gIiR+ChTRyTzF 6yeRyX3S6Fks6fSxn8SH373hCSlk/VLXGULoQzV7wCvS3c6/iAcB9ye0v5DW oM0S+Z80axv2NeH+DTsXiDa9gEm6LjbTsnmBmMksEdI3IXNf73/E7ksq9tUn sGn1DhQo4N82w7yJnWRbzgbtvqfW+sdjU4sk2OF3XxqVeILNKrnCDnsyNoa/ KibnVastgVdaohI5Q2T+qI0DOtPNtT1+YEt0UZfCH97bJxUWyHlDGUtBtWdV Xjp/M+7PCFsGr88vPZAC2En3bbig6NHEuVu3sO3qTnBDN7dCnEkiNk3wBzfM ebqV8KaT9Tm0lUCoDXLR35DmSeGBko9d8ddGsKlJgbzQS6x5q/kTO4qviRcW Uo4MsVFakD2apVYDeHzYcUUQu9G4ejW84aqq8qZiG73bwA+sMxxjSgexs3Zc 4QdKqzrfDzNs2upOfqA+KLJ2dyNzjRgBYKrkTJ6IwWZySQpB2cn4tZaj2Iqj QWvgxbCbm+0MWW88uQZSXVQLHSmt2HrHROGa88ejZwSwKWzUtaDnsPru1X2k ZQTFocHymkhmBFl/KlQCmO2HXV7EYLcfr5OALHOpgoIk7AITPkm4afbG/G0u 9m++REk4Yjwb095N1vuXS0G33mnBJVvbkKtfqktDXdXe41y7sRXNYqShRGd5 3kp17HbhUWlI1HpsKmKG7SJ6TwYcqP3RWy+3ke8/pywM7Tbjs6jDzgoT2wId +RscbD6S9euubYGaXVPZDv3YUbzft8DTnZHGp3+S+foqeTiz7V1UoPhHZK4j IQrwU4ZY9ew0tovF5u0AnzSqwnywtWbPbIfgeD1/l6vYQ4y87SAkYPp9Qxx2 e4r2DlBmc2u4W45d9PbsTvDpio0MWduOvMd9bhcwYxJ0nWWwR1+ZKAOXSeo/ ze3YipvTlSGu+rn7Px0yD7DeDa/zKg95e2InXWjYA3OR06uc3pHz7Cf3gtbB P1XqLdghAVb7IGIZhba+D/vUXOU+EL+8YqJzGruIN5kAOCnVaCzRgSwv6qoG /lpGUWoXsPPnE9Sh+p+ZnnggtsLbPnXgLbSi/I3AtjOV1ICk7Sc88pOxtT49 0gDmuitGW+ux5wYKNYF99invWulOZDGrVTqwtk7jh9o27LY7Fjqg9KCj1UkF m5GSrAPH93PeyzTAnlJQ0YXqOAdpDW+yf7+HHkSqrlF1rcIe2sJ1EJ7wZIkx PmDf3XXsIDA/6fzL6cLWkH95EKbCvMrnvmMbDrnqw5GuBsMokS5k26ZOAxDz C3Z86Yr9WdjbCHYZiet0n8Ne4pdmBIYbc2XZrmAXOfcYgX9t/9iBm9jbWnSM 4ZMY4dP7GttfXsIE0op/RCzl7kb+wBw7DMr/7PIPZ2If550zB30DZqB2AfbQ b6oFON5bf2h3GfaeoGALiNrd+1W0DfvKdX5LGHa3WvNpHlvfdtdRuM8y8/Mw 6EH+qBpnDTkKeXoO5tgRDUPWUO0nIGhqj71MRMUGfoo0P9t9HjuxussGDI2N +hbuYw9WbD4GbGUHNOij2C6MaTsQ4U3n8Z9Bph1TlrIHBdv/ujwovSh/QDWy h6N/qs6ZCmALXnlmD7k7tB+u3YfN/fSUAzinqHGlhyPTNsOCI9QGKdVXyvUh 78o8ewJUV71nv7ELmVJzN/sEPImz321FxV61cuoEXM1kJH03w64M8nIB1fYh T5EA3G/d4O8KT7bEC5/8iHNByHIDjeHArGUarEVTfQoID/BVqK9x00Wm1fs4 e0DWuTVfGvWRKdqBkR6wbuH5mnvmyMy/Hp88YJavJ3DbaeyZN+FnIWvfbjOL WNzPt33UE9ZHfZtNG8fzN5oOnIcSe/+0nB+4PnyYzxtsd/JbFv7G8+uK1b3h fptqQS17P7KqVJI3iIiHeX8XQqY+bT12AfjSZX8oqeH8WP6IDywtPz76JhLn AobyfvDtV19vq+In5Gye5ADIPxFZdkAZOWlBtiwAaB/h0Zu9yHZrTT8FgNDL +NNpOsgSsp1SgaDhbTXnZ41MSb2ZGgh3p9vWbAzB5udPvwp6k3Wmnn3IzHuM l9eA3/7ynq8DuJ9Tvf0a9DbKi1mP4Hxm6Pc18MoK/6z9E6/PKagaDInu+z3X rPiM8viSwmCYGSuPZCpj+xkVXofUkcIaHgYy5aBbciicuXNow8loZAmrTyWh sFvr86WKWGTWC5muUKiJX77VLwXXH1rNHwaTRpaRwwW4fkyTFgbwcuZw+Wdc 31VqGA5cTmEZ64fxegmmJ8KhiXfd0kvjOD93zz8cjp/Uzt8+i0y7A8/DIUL8 lkgizwCat+rp8gjouLq9x1cF2U4pJisCkhUrdrUCMjPu7tsIONVjwVDUQqbO KLdFAGU3Te2rITYo/omAms/8sRqm2BdDV9AhOurxRLwlMsvgnBgdZEbqH5g6 YR+Y3EeHiRiHP89dcf3LAH06vNacMVnhjvejec+KDgbx4hxlvjhXdPChg5fR KedtkcgUn+UZdID5fyVht5CT5jJf0oEzPVp4MA73X6oro8PdJYXV91Px/t95 fKSDU5ah5O80PO/9JIsOCjaffA8/x/nmL8N0KM3/b8vy18g0+7V/6BDmGH/1 +Bu83pmjbAww5d3ezSzH9QQHFwPWFZcridXgeaNCPAwYcrWgX2jA/bej+BmQ IzT6pakF78fcXYQBl976g0In7j+ULcYALQ/+O6F9OE8ylWAAj/jj7wMD+Dwu 5hsYQD1ytefzML6vyWhpBnhGHnv/aRzvp1h9EwNSq/e+6v+B1z94TJYBbWwi j1m/cb34t0Vz7Z2+1TePP8/Xnxet6tUY2Mv+Ba33WHfRp55lePRwIlNPCS7O SxgMse3mRqbcPri4XuP64/pdq7Ezh6QYwG6prtophEzT+7aeAUo3xWU71iLb zRgvnsf5/axguwSeZ7B28byxHG1LPkrjfFB78T5qiJzJVjlsm8aVDJjzZvS1 bMM2fsXJAIWsk3XNStjH/1EYYDesU9ikgudRH8zS4abUhrQPgPcfET9Jh3Kr fzGNmnh/v6eG6DBzqyuoQQ/XKyf10UG2/qVnvQGet5DSSoejnLfs6kywuedr 6FDiq7/vvTXuZ0t/sfg85sjK1djjfp+/j+ggNcoh8s4Z1x+Jj6NDsG3xj0oP XP+ozo8OBXfi+ivOY7dYnqbDSOP5hvKLyEkD220Wn19NhadlQXi/bqWqdLji tzyuNBTPb/KWpUNW3mAwk4HMnD8nSAcB2USHkli8XqP6WATo2F8yKo7H953C 2x4BPnfNoSgZz7+xoSxi8e9vXtHXGbjeg+9WBPDojHK+ysbr1Y9eigCqf/XP l/nYG7gcIyB1kvYhj4nrpxYUFt/ntsmQ7BbyPrqLwyFhVb13Vgc+T01GYjg0 6qU7Pe/F/ZyvaeGgVOhAfTaEfSOEGg5zic2/nsxh3x7PD4MI1zznpI2D6Dyf 66+Ewgj1WcgKOeSk2nyjUNAVeZjuvQ3n215JhgJ71a1xfVVkO0Xe0hDw3ejl PXsImbZS4ud1cO7bEWxyCfeXDewMhvJ8uSfFNFyfP//rGkgxpGpkg/E8F73C a9Czj4/nXxQy9buf2jUwvTt5++kjbIvnEATqZlkPOZqwB4XXBkKC/JMq94/I EsbM5gCYW5I03NmNzGprCg+AgpzIrdlfkSm9+//QQIHXPc9mHu9PZVOyP4i9 31qRL/sVrc/7qO0izFCfDrj4I9NGGnnOQlHqt3sXgpCpO339PSCQS/5wcCgy xbG43x14GjNKU6JxfbNdxmmQOZaZ0PsY57b2R11htGzcbCwDm7pE3wVyZLat nMvG9fme1BMA488vrSnC5j2/4zgcuZxtYdqI/Z851R7E+idXObbi/txMAzv4 pLWj6mwn9sbyEls4w/1iV+QANp+bpBUoefwYjR/G/hpqbwl/mnemZoxjXxLP MIfge7l8Nb+xi7wdTEH/3/S79nnsyC0NJsDnuCvgK/sQsudOPWNIkMv/zrES W8CpTB+cGDOP+PmwW4w5DoDclLKtlDD2lUEHXch79bJWTRLbdNdFDbgo/vuq oQz2CN8uKlAD9uy12YKdWyS5D5Z98ZlyU8TmdhXfA7V6r9Iu7sJuP31MCW5m zNqFqmL/FhpRBAteVZFYNWy9c/5bYJ3XxYZHWtgeLhXSMPDxdXDefuzY7nQJ SN/7lyg3xKY6uoqAR+Len02HsSUKGnhBeYlfRr8Fabr0UphzLnKcsMGmrfgx Q5TVzIn+c8CmqDI/ESEKRNNKF9JcFYWE4c3LoWKnSTPXhxICM8XULZ6kPXOb iU7LhV8qF8h5uSITRFIxPNfzw2blT1DAWdLf2TwA226j6kqQv/ZG3DmY3G+B vxBMDf1r8QrHzhoTlIACfWrE1ShyfmybNFzJomnevI1dUH1dHrQESv8k3cX2 YgrvgOU+bDnPE8n7GHFVhsYuddeSVPJ+vYm9EKMWKFGXhu1deoAK1illH7sy seXuqWqCFOeSyJEX2DL97jowdFJTZ7aA3L/i6H7w2lGeK/QWu4NgGYGzkkTS jWrslWpwGCyU/cK567H3Tr4zgwN72r2vN2NLuwVZwF5VJQf2DuyuyjNWIL8v yuByL/l8SIbZwjoY3fP7M/aG+m92wK6Rump8HPtBabATTGtS/rpMYwdK+DnD F23rwc+z5HlZES5QvV+guINjGL1P0l/ZT8Prgx5PTJcP4/fDwdUdMgxqoxtW DeP3u3XGAyKNg05WiGLPrkg7B7TDLDOqBDIz682a8+Bptk+9UBrPS7l71xuO WE4LZyvi+shV9b6gZ2W0RF4Zz588FHAJVGwyxh/txbklh85lELN3qrivM4x/ nzMCacDjyMwS1sf5dyFaAFCOi92/aYzM6uS4HgifXVo8Q6yRk4aY2UGQ7qEl 4eWJ96MS7R8K9z2TVny/gHN9ibowoHvNzbhexrmuj3QEePjk1h0LQZaQo/5i wG7axksHE/D6Z9fdvAmygTTnyhS8vluMczSIBnUbq6chK9psVb8FC9dvye7O RTZSE/ovBsojOdqkapCjMl0G4yD/hl1pfAN22qnxu/AkuihDpBW58bL+/D0I v+N1lYeF19+2sC0BTBIHFP/8xPfn03v+AWg9oIqd/4sseyVOKBl2pdznnKCM oP1TJQqTQeSxae+XFchDom9WpUJfZnn4B0lkke0BQ4+gcYxjdMcmZN7AQw8f A1NeW/+WPLKsqbjzE0hKr+A2343MCmL9SAOHR5X0bn08v0lc/RmYfFk2Tpgg e0Syrc8EzY26honm2Ak72Z7DxuQqHgcH5IH0w65ZMBhfHfn1ArLEW3uzHGjr 5prQu4yclMzVlgNVa/cbpQci57b8tnix+P/fO97TdOSIveXHc+Hk7ZobU8k4 13C9lw9jEbXR83XIG8Wv+RZC73vuadtm5FgnVYkiqF9uYMpsR9YTcXpXBJkh dQJXPyPLW6/ZUAIeQfW3uWaReZ6tusiE6UuNd/g3flv0Pl6V4Lcw8Jr3t9dm ZIFTMPYWWmeNLNoUkGO3+pqVQ/6FDyJxKsgFrSGbK8DnXFPcukPIYeY9fZXw 92TLvc0XkZ3yFa7WgKmyzQ0Ff2Tn74bTNZDBNhi8Mwh5esLM+T3Yxv46SzCQ R1r/M6iF0gpRPeNk7Kd3N9bDdQn7aZ8aZBU5hblG4G8b068WHV105UlNjlY4 9cBbo2498tCtVTqtUH7q3+6mjchbzg1dbwXvJas3dCsg78vNWNEGHYpKs981 kHWlJ/g+QmL4xYfCbsgT8lFrO+D3kSX3xDyQJSxTrDrASCoiSvI8snCEy70O YH8Vf2mLP3JS4fiaTjg+yDRWi0bOfSvP1wVb1DkXnAuRx7cqD3dDVvrTTe1M ZFZoo3QPKAkYGe+vRL53Jdi+B/Z9jU3d8gH3V4m19YAhXe7gxCByumNzTi80 zdR72Y8if3+z5WsvmNudS2iaRNb6ri/aB3Y7iyZz55B9dN/49YFnh0GsL9+Y GoV2xvS+CAtmNKZKR4QXTQGnI1tZcCkj5puVOHK64AF1FgT59wHIItfPVjuz gGv4qsvzrai/K2i/DwvoJrI3JXai/InTeAgLYqTPfmEHlGeKRj1mgWik4Cov TZQvCQrMY0Hi71d7vughc7sFlbFgo4OtwxFD5NT8qHoWPHnPHlF1GPmvVXIH C+R3Pc7bY4ksaZf7mQVZCQf70mzRfEZH6SgLlLgmuNY6Ib+ZrJhmwauzt3ZE uKL6hsHCvyyArj3W82dQLrkyka0fyrR6rp3xQrnoh5PL+kEnM+B5ny/KawtE l/dDjbBMh5E/cuXxdO5+MAyoYS8LQvVtMYI8/dA8ckZ+Zxhy92aLRVuY8h9J jcTnFz+zsh+6i1/6C95G/a3Rh1f0g90m67Tgu8i5TRxc/fAlitL8KxHVq+pe WdIPJ/+kzrk8RJ4KLppnwbjjfpnOdORZ46IZFnjWjR06mIU8f+viOAt+Kd/0 LcpD8/a6TQ+wwC9JOWVrIXK0xKZOFlCWd9UmMJFDdvIu3mfQOf+ZVZXIZubP mCz4r2eDRMB7NO/P+blsFjB0qvdPNaLcOOfvAxbwZZ0659iGLHMyLWrx81yz Or6lC9Vr7+G4woK1V/MqtfuRw2eWn1z8/I4srJEdRfWUHyKw+Pm9SdaMm8Te uV6GBVs3655e/gvVD55s4GaB8lwkc5RtfNHSxTYZffD6uNKIDSfylbqSs4vP WkM7fwM3Mi+nr1If6CZLnsgWRp5eunTxeVeK5ZGpFEMutQ892wsSjL8DnZLI lrzvFXrhj2+rA4f8OH6eYpN74JlxqK05Fflx1l/3brir6y1+ShuZg7F0XTcE E47dtAPInTn/3nWB3WbiaLop8sym4bVdwM82aTbvgnwtIOtJB1B+9QjwnUGW 07bQ7YDR0ZpmmXPIegl6A+1Q2Z5qbHQZ2b1OdU07+GZZGKTcQJ54sPJsG/Qd Y2rtf41suDTjaxPUmj1bYvsGOev2Q88mKDh4t8yzHPlO04r5D3Bztxf1fj2y 1NOLvB9Ae5Xsvu+fkOcil7jWw9OSyJ23V3xH89O/8lRBbK7fVBovcsypgs2V EJTuml0iiCw2dEenAmxjNLcNrUdO9rG5/hZWn/klt1cJOfbHpBwTFhwHhg+p ILdsMCgogRHLD0+cAHnjwlapYijXfirD0MPrCY2tfA0XxI9J9Vsjc79aYpQL DkaKR7rtkQUOXPyXA4ZX2cI+OiPra30ryAaZ4ZTJOg/kJ23ltzOBT+y89Lvz yKzZT7oZMG+oY1l+EdlDX4Q3HVpyh5ivg5C5lgUPPATm11fTeaHIzILAyRR4 Khoum81A5u0QX/x9H2NgbZ0RjeuX3jdJgkDa1qjHsch2wa6G8XDmxcLb5Hg8 P3SD7F2wHGz4FZ+MbKR5f8cdUNT3PHYrA1mCn7PzBoj5a0ZHZiNTeMLGGMCZ I1AVlo/95en1MJga+PLnWiFykkhYQDD0Cr9UCGDi/nvfOgKh5kCIg18Frje8 vs4f8i5bxlyowTY7quYLSVlyNZ4N+Dxe71d7QcTnv/OnW5Bp8esl3cFHqG67 aweur+FzOwGO+xOOO/XifJn7Dzsw9HOPO/YZ55l0U3NQfU6tOzqE3bRnxgBk Pq1mOzJG2shRHVYLflYynsLOKpXZDnO6uS76v7Bp6p0ioKbUdr3yD2k2WQr8 D6pyf7Q= "]], LineBox[CompressedData[" 1:eJwt13c81f8XB/BbZCcrUZSIEFEpKZ8TkcgOhSJJpbJX+sre494fGUkqlYZS hIRklREyI5nXilJWdujn/f70T/V8vM457/N5f1yP21Zrx+PnV1MoFO6VP9Df vYN8hcmrxw+t/NNvlSQFtMUG925kwbaa3akEJYWf6m+yYRtQDx+FfSdyL61f i52ZPH4c0sfuMsSuw57VOH8aRMND73DxIPt9beKxgURRJ0UaH7ZfndQV4Cw0 bWTfgKySfvi9MwSZqF4JF8T5VebbHjA/KrWGWQh77tvW6+AQxnMvaDOyldi5 nf4wsPXP/tVbkek7B58Egfnb/iZfMWzrXb5h0GBca7ckjpwSn/Y6CjRGc5i8 JJGd2OQeR0Nh6J2UOWnsLhbRWNi9NeSAhyxySd/dunh4UuDw+bccnlfIlp4I QsYnHZx3I0fXqRfchhu/DrGMKSBzDYnP3wUfEW7lH0rIthytDA9hKn++5aIy vo9opZFUuGzU5zgIyHMUvh+PwSQk+yFdDdnTrkLmOcj8NGH/oov3+bt4Ogvy jHWKIwyQ5esPlmeD2rvDrmCEnMzIoPQazGlyHY9Mkbd5RKnmQbg863O3c3if t2bVRfDNrfAYzzXkx6V8TyvApStrudwLuTuAcqcSlo6kZV3zQTY/1hlbBXwb Ejb2BuJ9nS1DqkEt3/FHBg33p3lfrYOUJdEI3VRkHqElqWaQuSAIq54gp7Zq PGqGN3XrJnPSkCcOPd3yGeruLZoJZSBfPqvL3QJLqq1SI/nIxS2hg60Q9qy2 624hsgdMnPgCfLzvY44XI3/selvxBWQGMubzPyAXjW6/3wbmIeEfw+qRy3zt D7XDt1Ffb+UmZCndX/fbwfmkx67xz8i8PFqrOyBM8tytk+3k+7Mq7AC+GDNd 9i7kY+mM/J1wb15/VXEP8vgDY/tOyK1WviQxiMzG2sjXBYf37BFuH0LuDRix 6YJPt6UaqT+QO3lpWV0wYMevND2G3HJNX6MbeNeNs3xYQO4bEdfvgaZ3EaFa S/h9b5sJ6YEbduJM9X+R1bN9CnuAp9qcoZ1x4hDFj/mKGRcdmjyn/c8wIz/V eLmdDje2R1MGWVdMWbTrIujAE1y+NMaJ8tYNNRdW6vdYXXfnRo6wiLi2Ut+3 sLDAi+xjLx5Jh+Mx8df8+JEFtt25TQduFfm5NYJo3tuoyWd0aBit9ojchHJT ukQ+HaLvnJ/m2ozMFHSwgg4GOhS3BBFUn8C8u4kOXH+SJjeJIW/bxtG10p+2 1/m+OHJmQc23lX7ThjEJSeTcJpexlX7mKw7p0mheWSLDLB3W5a75tUsWmdvC b4kOdTYpV97IIUvcGFndCzTegz+UdyM71xxl7gW9shbbMgXkn29vsvUCp7PT 0FFFNL9coZujF+q2sF/4pITMuG0z50p/3aOB48qoXjnWfMV63irn2gBZ8XHC 2l5YK9PRa6GKnHWrhb0XatvdrfrVUD9X2UbWXogK5+qx1UAWjri0phd09j+3 GNVEbnQup/QCx9CRTldt1L9+7e4/dKiNp5vP66L85ursKTpEqXt99TFAjmfT +UUHnd/rTRmNUH3hL8ogHdgfZLaGm6CcEtTSQYdqA22TdaYoD8z+1EiHiL+D zXHmyN6Ov1bun81iU+O9M8gVcdkvV+rZc/XFrVG/u5D1/ZX6AoO6ZzbIplc0 Y+nAKhBS8/oSqhdfqHWjQ1WFyLGDdih3SHS1oUOY+9uqEgeUN+RZG9GBpXm8 vMYV2cxlh9xKvX+kuqEHMi1qrdBKvbzE+1ZPnEtpsdCBmXaqpNcbzfvfn7fv eoBJq6JgNhSZeekHaw9UzFopeUcg+wvta++GkMd/3qymIv+n45nWDWsYd71e ewP5iBPDkW5gLL6dIZaMHHZK2LkL2pXVNXvuIr8asN7bBRkFP+lJ95GvXC6e 6wTzXIKH5wmy7fDg9U549aLHjZKFLOq27NUBlsliB7oqkcPz0y2+Qt615x8S fiNbesT/+Ay0WSOL4zPIAR84Hn6Gc+6L02vnkQW+p5z6vPLzpbs9eBk5o2rf p2Y4bzsW7so6ueLILVlZTcBzco++wRbk5T2KkQ1wReHtV1Zt5JLegE0foaSh JT1PF5nxaNvjKlhvP+570QB5t5DmnioofiQuUW6CXPUgUL8SeDdEu/hZIT97 9Ca+HN7O27DPuiMPiIyalwFXgm/3I09ky9I186VwfnfSK2Mv5LAdJxJLYd2V +pNZfsi02w/bS+Bcp1KqfSRyW+FkRxGwF3MSAynIqU977uaD1SkprtiHyDZp sqvz4fWsWr/qY2SFyf6LeXBG/lr4vefI8jO+B95A9v3+FvNc3D8ovZgDLLD8 lDUfP1+ws0sOWLQLXM97i3w9mnUkG5h59UT5S5EFqrf0Z8GpoDyHxhrkTm6v 0UzIFGlW9atDfqo34JEJa9794pNrxPWvfFdlQsa06NuoVuSURI8DL4HhIpVZ sxeZkhPZ+Qyea1mnFM0g295tHUgFBZmtcGge2cqDRS0VijjpHcV/kEW0g1If QkOzxYZSym9UL6no/ACmLMxo79mQTftj5VPAW0VARn0tsp+TisE9YBL78vHD OmSDuTNH7oLgsPGaCj5kq5krqskALgbXqzYjN1wq8UmESuN1G7W2IqvwCybf BAPFujcfxZAzS4aLEsB6Uft3tSRyNOcjvngIDTl6+dNuZK5XScsxwHWJiUVv L85tc47EQJJ2+aM6RTy//nVMNKRzqfXWKyOLJBo60aAhCUybNJApV8qvhYOZ 99L0cS1ketKt42HQd6Ywtlkb58ziCqEwte1A/WcD/HzWbVzB4M08b2dihOdJ F7IHAdOPN2ytJth9dZyBIJixV+OLOa7/viDjDw9ipvpPWiCX3Gk86gcybtn+ bWfwfOHUzz4ASrvefbXBpiZFeoH1exmFTgd8H3u1H7vDyKORxtPOuD8oQN8N 3MKeOXa5Yn9ey+QKobqSz7s9sUelkpyAS35I84wXnuflP+oASTyPv/V4Y+9y LLWD9C9ior0BeL9rLzNsYW9BX/HZYOwgvuoLUJR836IvFPvOuT820HB2y63+ KOzeiZSzYKbevc/mf9hH9fisoE/izueBGDzfNlnJAqZHNnJ9S8BuXG49CXF3 hiqTb2HXHt9pAnv0c3yNkrFjtbKPQxPFX5HtHjZfi40BOGfpjpXcx+78HKgD XDYbn1xNxaYzxGpCxvohy51PsFV2TquDXmU2/2AatqfhU1X45elXdzsdu63P mIAoad2Q4xnYU/K/FWFHpyCwZpH5y+17oJr6bbo4B1uEv0sWLh3KfuHxhvTq MAlgmfA9L1uAbZqlKQJPHugIDxRiRz+Q4wcNY8GWpGJyH2oeOwyu+RZlWIZd snvbMhH0JkudpRybInroOyF2yXexqJI0k2U5UbZRJ8e9mrSfgAtxtlbATuYT 6UmXJoLiMyjWX0/Ou80/TtyTy+q41UTmeeKrAHp9Yg1asP26A9dC1w1tbeY2 cn+FEH64ri7AUNRO3p9c8xbYNDNQ4NaF3aCjJw4FT1657KBjG8he2QFmZj7S fX3Y+8WEd8Ecm3Zf4iD2eHe7Atws3JCkP4w9PDyyH1q2vGJ99wt7n8GyCrg1 epe6jmODjZca8AYeuyb9G7vvlpAGGH7rH745h50nXqENn9L5q1wYppDb+bSM wc6y31eKCXv/EaYTwM6VqUhnwXakNpwELVetJ7qc2M83R5yCcqXrIZKC2Htn S86CzYgm9GzCHlOqtQaGO+tn4jdjMwx2nANVSsZ5hm3Ifi5ezBfgXUWvevdO 7BbR8Mvw2ugoQ5w69hAvgwuEaecFCx1FLunSiXOB02pSLI+0cH5pWdwVVu9h X5urh/MzQcfcQI+nnr/NFLtXNcEDhhtOSAvZ43rmaWkveFtVmZ7qiPe5sLfQ C2gl++VkXXD+aVnnOihkblSAqzjftWTnDf7/6yas/PG8VPtHvrBR74Jhajyy SFrqrD/8OvKlWSYRWcWV/0AAlBCaJ14nIdON/noFwAVZ6VMV98h9ti8HQDbH qM1wGu6fcf8TCDo17p4yRbi+6uqXYNjy/ttCTgmyVfXwuhCYLDjpTbzHfpx6 NARuPVMK0KvC/benc0LgW/hSpFMT3te7LiQUfDWD7+V8Q065vo8pHJosbU/L f8fnD1fvCodt7tqC6SN43/a7p8Oh+j537MNxnFswZIYD3587ITcW8HltOboR cIHbX41zCc//ccA1AvK321Ai/uLzFZdvRoClsfR//ozTaJ67ck8EPH2Ra+/E ic2eZBMJC+9vSf/kQqYLcQRFgm779aGLvMgp9wofRMIkk9rZMwLY19q7IkFd WGJzx0ZkkZeaC5Fwcw9rxwlhPI9jdn0UKFvVG+uJ4tyNXzsKaB5Z3NXbkCkv w2yioDcqvu7IdmxnwjsKQvJPaRIyyCWnnNOjoIFn+KDMPtwvK7CaCqJSNXNP 9uP6tuz1VHA/9PK12EGceyVKUmGjnZvcJhWce6roUMEu4OTPhMP4eT6usaBC ceKBNJ4jeH9GAXsq2JRTxNiOIfvZb4+kQm5Hf0+wDnaVxC0qsE5WJK/SR7ay ufqYCqdZnpl5G+L5FzZmU+HlZir/vBGeN8tVTAXKXqdmtxN4H63T1VQw0jaK HjfF/bSlz1SYuyrINmyBTdcYpsIx2mLFOStc7zAxToU7qT2BPdbYEzNzVBgv KFM5dR7Xvzal0OBw46Ol1ov4flkFmGkQNxRWcPwyzlX2raXB0NKVq3V22K9y eGhwgE9f4Zgjrs+N20Bb+f2+e6LcGTv9yyYadKusf6nqhu9nymcLDXadnLv8 zgM/3+9IURoE2XdsV7qGn28tRZwGrYFFAzle5PvulKCBVNL9+/I+uP+QmCQN rmcGWab74fN3tay4ruLiJslAXP/794q3dh1rexiM62f9VhxRdjDDJAy/b6az 22kw+UQmhDkSm/vWynnmVGGLfCqun5cWo0GZC6fClWi8/wMBERpIm/5lE47F +06cE6JBLDHeWxeP318tpwANFkV78/wS8TzhTbw0sGFp+t/u23if+oiV+6r9 VXZh4A5+vpozK/e5tzmbSEjBpiSv3PfdvFQ+zYd43inVeSow3Y0fmX+Ez6sx nKCCQ2BI2fOn2FC/8j6/2F69ZfEc16e+7aHC0z1mR0sz8fns32uowCV4bLNr Np7/S7aUCteWD0xvy8X1gd9fr/w8fBR6GPYW51G1d6iQ9XLtfweK8Pye2eiV n++4ZYOfJXj/h/cDqTBiSV/Wr8D3o+R5kQrG6o0tqz7i8wafmlKhUKosPbsG z8s9o0WFqKmH5hsace5wUYoKOyMu5nZ34PflxTcQBQmOptTobpzfft4YBX+N tWwO9+L5LG1FK5/HLTtWviHhfZTnbkaB8+tRe/sJvP+b8CNRkEN3F19kmkHz hkL+FwlCFRcWX7Aip9zVvRoJwc9PNp/hQKZYVFhGwgkPJf/33MgiJZ9lImGW fakzQgjXb4srj4ADikFxgruR/YTYR8Kh1Vpw3x0FZBXvew3h4Ep7+UVEkZzH lBsO6YNtGyWV8byrBn7hsDlO9v4+DezYWZ5wWD3R+sLIHPt83K4wqHkmVUkN wPMnaKdC4PTm+vlVzfj8wsfxAcAp6PL6bQs+j3mPewCU8q53dm/DuXmtcQBI sJ4aHu5Cpn+X5AuAsd/fWuuHcX14cqw/BHxczr6zjB2zEO8HT912OihJz6L7 Vc8z9QZzx0ap3zLIKt9NhL1h7WW3wXQ5nHPI9V0HlzMFp0X24vxmgt11OHhM Q5tZBZtbN8gL6rZYSraY4HqvjuJrMF1N7XPyR6aUFl32gE72FtvFQGS/RdmD HlCmIzQWGoL7TbvYPSC67tmfu5G4nmfphTtIN1XyfYrH82LUp93A8uuqo1LP cL0RR7QrVAy5P+9twr7ROuME6ZLvdtm34PrPTvVOEHuJMW/uC84v6jx1AquR Gx/WdWHvrDR3goXRjC5iCO8TGBPsCHIz39cl/cHmryTsIZHR0u34tjm0j/oP jkuwfG7D3kYJbDb5eluwed8wrS+F7Cf+I8YW5APUruruxHlevoAtVP2V/E9z P84rCnZchNmF376gg71q4MJ5OG3+QuWdHq7fpCx/HsryL6xSNsQOXbVgAzTP rwFKJ7CDm2g2IDFTFKxghfupvu/OwYmJ8EhpN2xK4k5rKDRQ00nzIPeJXD4L opmLHJLXsN/2152FUQdHmrgPnif+3uksBP80jhEJw7mLTL4V5AxtucmfjHO5 i3mWwNv9+sHqD9jU3DozoHF4e7+pwHau8TUDtoPqpnYfsacf7zKD1YlNa1vr sLXTb5rCpOGYZ9pXbL5qu5PQUC6pbzCGfXHrARPQmRqTWjOJTVucMYYq0TeM BVPY98JyjKHY90iB2AL25pe7jOGlkrX4LOM8cjirghFEvbj9585G7PiOk4bA 0mndelwYm3v7FkMIYpN+xSyCHcE5ZABeF/MuOItjn073NIDLW1sa1eWx4yga +qAZz/l05Ah2+6C4Dnx43xKQoond3bDyfVdlMtnCRBvbvNZWGxT1d/AWG2Bb j2QcW/n8afrcOIWdEHpMC9Z4+xsrOWNzKWRoQM7Ez/liV+x9Buc1wOaC6T0N D+wppZXv1x/05X4YeWHvdIw6AkGiXb4OwWS9nIc6MFbtf/7wFvbTIPvDkKOc aiCdTD7fM7nDYPNq3UzmXey8gElV+JD0TaXoITZN7T9VCLSPa217gX2iPUYF VvOOr+Isw1ZeLCYgK/TUk7gP2PQNZsTK/98rdDZVYvtd+K0MZYN3bkrWYhvE 7FCGgDxtWbVW7OjatAOwyvKJqecP7GTrDkXIbOJZXv6JPWAeoghWR30eBo+R +5vtVoQSeZPRG1Pk/VtR94EfA0PQi2XshmP6e4GSZpnRx7OAHGVF2QMVP784 3FuP3fkhZzdEyRvuPC2Anbjz8m7YkKf2okUYW5K5bRfsrJR8XiWJ7fZfsTyc Hpx8/BKwM3+5y658f7O7cEUVe3/xogwM2w2KS6qTVguWAdepL6n3tbDz9G7v gAiGdw/ijMn+b+1SkL819O5/l7FtOx9KgM95iqWiPXZKhJoEqKddE55yxK66 OyAODfJ2yfbu2ALD0uIwfMgwycoPmyW4UgxeBlabCQdiq4w4i4FbpZpgezC2 abywGPzV25doFIlNf+QpCvyWmxI0ErA9jxJbofN+nAnDLfI+LCdE4MHg2vUl t7Gtkh6LgKw9JU7pPjbFmU8E1K8PxsikY8tfXBAGl6QMKk8ZttPkX0F4s5gU WvaBPM8vUhAWLUP8XSrJ52sTEIRQMQv3ployr9kvAMnpbBY3vmA3CFP5oZdz 5sThduxxQwl+kHDuNZjsxDbYWroeMvfmqR/vI/P//vBBedF5GZ5f5PzgAF5g 22ooUTaGHf1nOy8YBCqLuEySeV8dD7Qf5eVrmsX2GxXhgdGGkj8xq//gz5tH CxcI9G+q4RbApujNcYDFEeby0o3YJW12HPDgyWSRszC2SFY/O8jYfcxqFMVO kWpjA9Vpj6QYWWy6cQcLhJy0jlOVJ+ttz7JAbb4ubWI3OS/0OzOc8NkWYLgf 26rpLxNcZm66xK2GrVKktgYyLr07V3qE7Lf7yghTNU8tnDXJ+T+dGME32tew UZes13nEAHGCskoxpqTLRVfDux1hLNwO5PNwtC4T+z5v+HTDiTzfQmWZyLz+ JIbPlayXfrFEPPhUsVHAE9tPmLZIhDmukd0SQNZb2S0QqwTiJ1KCyPon3+eJ /0q25YqGkvOlLs0T9tzqhySiyPylwxxxPDvAUDaB9OSNGaLmFA9/RiI5f8PW GUKd8UG7/G2yf8+raULRpPScQgp5ntKXKUJo9q/7wWek7yv9JoYOeCdpFZHz Wg3HCat+jjM1JWS/6dwY0R6ZLKb7npwvYDBG1Ha+TTeoIvMXLKNEls9C0ckm Mi9LHiF2bI8I/PqZzOtZRojUekHNU19I37j6g7gpotRo2fnv/iy+E9fLrvaf /0a6UmOImL7M/HRomJx3tvIb4cB70+7SyD8f+0actcmdthv/55ODhAbTNLPb Atl/Pqqf4D7mIhPAuUh+vszpRErpOvYD3KRVf/QQ8kovvk/wkh4S6yH0JIcf nxUkXf2wi4hgstyquo10bXM7Iejz5++cBGkbqXbi6XRid6YU6fyAr0TlQPNt ETnS8iptBON7LX7KAdJRAy1E7IGhqTfKpEdNWgjRrKBmx0OkXas/Eyr3i6N7 1P+dV9hMePvuZS/WJ81W3khwzDZ99zhOWkqvkUh2cKraaUKaob2BKLB4HnzX nPTx3/XEzMGtFJ/z//Z9WUsEZxd177UlrfO9huDbcfrdr8ukCyRriD0bb/5n 4UR68+uPhNMcx7SyF+nkVZXEX8dnzVPepNstKwja0NGsdD/Sq0vKifTWAEeh ENKMtA/E95y573+i/51vUkZ4yiRUZceSnqwvJVhS9zy5kkC6TreUkIh1sOm4 TVrEqISwdh7oLnj873zGd8TEsP87lzTSAjsKCT+rLcnS6aQbTrwl7umbmyW9 +nffRflEp2xD87VC0po1ucS9EW5vhmLSdhK5hHWakQS1lHRq8Gvi+7YvnikV pK/r5xAzm7qFKxtIG3NlEQVft1QaNJN2Cn9FeN8869TeQnpxzSuCkXew7Fc7 6dOsmQQ328+LfIOkJS+nE58rZbnvDv3z/54TicGOBdt/kG7Lf0ZsXvWb4+DY v1wkjViTbsnqOk3aT+MJ8X9fzdWk "]], LineBox[CompressedData[" 1:eJxF1Hk41WkbB/AzTFlCkrSQkLVUUpTpuftREjFRo5SUJcVF0pQlItsQUZQ1 lRRGb684Sdl+pxDJVgqNIWqIcMqSff29vXOehz9cx+e67/v7bOc68nau+0/w sVis6R9///8s9wwNyJiYon78y1KtTQOdPpZFKP/0v074IwUMOgWmMkV5zlO8 C0KpRmlbxXmOik+GatvwvSUSPI+JJsNvLWJ3G5byzBJJApv6JQZT8jwX7UwE xesWfcGK2HY34IvpjYSFKjx/Ck2A01UyXAV1PN8ZBxdKVkcZafNs0x0N2/1P 6NRt5fnMlmjg257eZrUN54Vfh9D8NVpndHmu3XENTDxPtY7vwPl/RsFCrcxL Qbt4ThaLgjj2xqa4PTzrNl6Bw6fPBcn9itd/EQEy6k/UH5ji+afhkJK+1Y9j zrNcXhiwkyjFz8fw+pIhMOg9KGBri/N2BYO2RTq35TjP/l5/QOHChY//csT5 o4Ewwy2JM3fG+0GBoPvKw/utC86PCICX/q16VWdxv7Y/CB69rmTojtfb6AfG OgZCZZ44f9IXagce1j7zwf33L0Czna91dgjej5cnyFIbd24Iww7yABvpDuWM cDyf5A6ddSa9aVE4v+EcqLJZ7xSicR7fOXCOyHlyJxb3bzoL/foyvjcScT3r DGySr7WRuo3rE67gMR2kH30HO/w0TD7hLriSij3iDPNVChP9M/G8vgMY8bte nGZja52EiI8Kdt6PsbedgEUJl9Xc8vD8zuNg7rZddKAA1x3tIM7se78LBzvc FmSELPMcSsh7WoN1h+itz6XY+47BveJiP9ty7DorUPFW232kGnuRJWhyxxr2 vsfraRwA9/KM/KpG7AXmkJdic9uwGfd374cJP8mAshZcF9wPYPXKfscn7K9m 4L/Vx/B5G7aUGZRIaqijDjxvuxcMa+IHtXqwtxjD5f8Y/5X9FbvYCGqCmYIN fdg7DGH/dodAtSHs4F0Qu0L65J8j2Or60Djy2mj1OPbynXA0S3vRyhmyX114 ajkmVsua4fkgBWLzC0SC+LG9ARweXRDWno+tvQ2KrECwWxB7/i+wTJCZd2sB duYW+P1xEb+pGPaEFlQeC/yJbxF202ZQENZnchZjb94E3k/mTTtIYatvhDqb 8okVy7GVNUBdJGysRhq7cR38kbtnxF8W22YtfLATGdokj81WAy2x1wOdq7EN VeBqfmTfDWXsW0rQab/vm4kayVOE7eKLucxa7Dx5iC+s78pej10qB/0n4zpP bMROWAWGEoc+L9uMLScDyZzlbVXa2FulYdyx+eNFHWzdpbBf8nbLRoR9aAk8 eH6s+fN27H5x4HOW+zteD9tMHI5Itb3fo4/9SQhyilPqpw3I+QRBxOXEO7bR XN1+mUrtcRMy/zNwXnTVSJmSOgukXB9UVewj9zWOTq84VeFjjs2aQS/L1pVv sCDnGUWrfu8rbTs8139e5lFJrBV2UT+qLT9bZGhNzteHVM9tfjZpS/IKUIDs SGGmPbb/B9RUkZtv60BcizTdvXIlnch8N31ZbtuT8lOk3kS3V01le7sSD9PI 8xl73VmSP0jHKPhnfnIj5xuhv9XoZUR7krwR2sCL/4GBNznPMJ2kWJY+7kPm a+nRNyFpGX6z+6HNLhimWAcSt6L7ysJ3JYJJfzX66V1VUtkl4hra0vfKrfOX iYvpbFXTxLVXiJvRgnrxhNZIcl+dtL3fu9hr10k9GdFrYqL1Y4mLkOT7A9dG 44kbaJeApZEPEonL0Ev1vyOO3ib7e4tkGxMviycTN6A362VDPNKI3yH/4LsB Hx6Q+bdI1FNgj+1D4jw60dFFojOL9H9BypZ1TU7Zs+9HPzbWSenLIW5DunDH 2S13Lq96/bzN4/lkfgAdlnOe8qXJebtQ56K3pXzPsZOH0Fn+LVcuFZP3aUfM 0K0DIqUkrwlFdPLJXntJ/AYta3TsXFIxd960iteZiVVz96FZuNlz1WviSfQs I5FKrSX5n2njJJagWh2Z70eNkSdrHzaQ78sosg+oTtBsJPVxNHBW0za3ae79 L9onqKEWkvcPEj44M1D0kazXjeJ32xfsaiP9Q0hRpzKw8jNxC2Kv0TA2/UL6 /RHIxC2u7yZOpStFp5oPfSX99fRBxja1pZd4BLX3l5+yGyDmojNt67S+DJL9 9KKpuuhp55G59w4rGy/rH5v9fiOpXOur7pPErXTK/bKDE9PEFbRG4tpVfixm Np8Ov/aFnx+bxaaNfEezQudh63LR+9NHz4sKknoBbWfzQve6MLbNMOrbpya0 VHS2jnx2Rr69uZDk1yMhreEbchKkXoLilI/YpUmS+jCtsKx4zZqlxJ/oLCGV wczlpL+KRpMRhZtksOX60auv34PyZLGL2tCB1kMmIE/6O+i2N88kS1Yzs79/ rsWKLQbKJL+Hnsq+nFalStxFh6b2u5itndvfkriD2g3rmNn7vneJnjmsQerv 6fVeCuWtmqTOB4VOoZHHtUjeN9rQqteiawvp70P1v5rLufxCXIlsqYKuAUT6 J+heDblHHhSp1yFvhRCvST1Sb0cCkl/1/PVn10cx8/YLz9tNzjeI5EZz34UZ zb3Pw66VN8VMiJvp0NvBNq17idto+/3flDL3ETchXYEDXF/z2TxahqbZv1qQ eg0aO6PosdKSuJrWM9sUK23FUDp16sMb907RmU2DLI41uY92Or2gQ2mvLUN1 Xw2yio3oRFulz1+6aM9QcTLd1a27P6Id42v2qTuSvPv0rqQ0gYNODBURE5B+ xLSPHrebaK5yIe/bQ9cvtbt78wzZ3xTNrq446XwOO1kAFoSzULsbQ+mL/6wn XtSDHLVvDAh7kftrRauSHX0eXCT7a0PR+TFGTsEMdeyC6bXMA2Uo+9md6uWX SH8LffWcwPXuMGwNFsdJ1dUiP4KsN4HU+Re0B0Uy1JXKAG5WzxAyz+nlnr/G ULpTIckKQtIwZfBnumos7u9aCeluvWyzeIZyfpkrqa24GnLY7pqvEnFdVgWe vq1Uk7jNUMLh7tI7twzRzit2cRyScf2DFBi8yQjckoI9xseJ+nB33bI0hvIe iukYWbqQ06opMzVyn6HeG6d76/13mK60c6+wzGCo6WOBr/gSWJBzzzjBIxPP 5/0EURaPjxo8IvcpDedNbUREcxiquN7E56vAd9qwOLCr4ymu5yyCmjwTS3Y+ Q60SG5uaeC3AGe3x39VUyFCbv3BPujYKcpo+5m898Jy813f6aYz8jGIJNnsx XDcKezFUSu5PiFOa/Wj3i3KGyv8sIO5dosCpDsziKlYw1NC9j8whtgznMnvH 40tVDPWPW/PiL2xJjpJj0WL7GnKfIpwVub7WsrUMlbFepzT8piRnXJW74e86 hjrVp/buoY8SJy9k9HhdA/m9EOEkTX8vk2hkqNKDAyxb5yWcrjvc1E8tDKVy esMFlrc6GKetz9nRivtb1UHZMs5L4h9sGX7gWzizva0d21ce3pwZOpbS8SPv TVi0RcMg7RQhNx3W/eN+VnoEBL9YzfErvFsiw2WoqRiOtvTafnogJ6Sn6htD RY4mLH8toMOxuOO37+sAQ/W8lurOym+hVU1OfSwa4uX7dwHHQWlF1OkRhnqR +eFZ7+5N4HZrd+dvkww1M+K+rINvBYd2StmgMY37A5QgftWCYYb51wOpqjTn f1t5+aQ= "]]}, Annotation[#, "Charting`Private`Tag$29974#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 2.155316607978762*^-9}, { 0.00036432384925595316`, 9.201377854095583*^-12}, { 0.00036432384925595316`, 9.201377854095583*^-12}}], LineBox[CompressedData[" 1:eJwtWHc8Vm8cRZFXfkpUiELSkiQReZ5rV0JGKg0ZRaHILMpOClEhCskeKXvT a8te2XuTGZGSfve51/2Dz/mc8z3nfJ/nvm998BmYa96io6Ghscd/oN/taZdf 5FpFYcZG+GMrDBxKVZXp90STWIkLCGwQShS2jcaOo2dMpKBGlon5cu06P3qi wMZ53MxFIAarrcEfZl6w+0t5bYJDDPY2GH90VvLL/0YJtzSt4xy6AnNpN9+/ B2MxGvRQF/I5HPTnBF1iSb8lngJqDqah3r6OR0ek7/ziSX14NI7MN+QH2yRW t0V6xJF5/vwg16bTqqYnjvQ/IQIM07NbforFk/5+7AXMC4En9njHk/oWQZBx zCbwzFA8qT+4F+haaC3fl0pY1/MUMHw+dvndywSS5xzO/zy9Jad0PIGcV6Et uCw0wzmDJZL9GFgBjWmN/c43iZgY6sfGUxAfn9AlM5O4fh5z0prjntImih/X 50el/wgah74O+biuFwBRtxTX8hc+knnPtgOVqL03RpWT1u9jJ/g5SEvdEpFE 9tvKCsL4+nklV9YxzXi+kl6hi4H6JxLzsoLZsJBBr9hPZF4NU0FQj718xto6 HwQKZLl1onq1P6+fL1YweUWCnjFpHWceLqiqYUrjoEsm+4yIgN1TDw2TjiSv 5x0Alpsn2OR01rEeDyg/dLm01X1dv0Ip4FKusDZNXudFuIH5HfF9NN3rPOea dKln9Df/TSnk/n+EAEccu8fB4ylkvpooMKtwEy/UTSH7Cx0G1NEfo5rPU0i/ C6KAncHgzVjGur5OGNzZ13j60cC638JxUKgg82vrf6nk+2LFC7bd/BwXfTKV 5M+dAkZuu3WkbqaSfnMHQF6ED6Xed52fPQ62Fq/mGOatY6dT4OaAqcmv0XXc dQJk03Rx+WxLI+ejxAAzr3I1H0wj+54UA3pYjkPmnTRy3w8SIEP3gNC5gHX+ 5inA5Pimu4+aRvaXkgG6oQw+1lPrfqKyIDXfBlA40kmcjAGG7uHpUPl1XCUP rvzRChM1X8ev5MFnrhK1irfpZJ6dHNgoJfrvank66e+tCC7rfPg8N59O5g/K g9muC0wRXBmk3uc08NBlvKUlv45HzgDugbwvG80ySH35GZBmaM6V6b+Orc8C 5VF+G+OCjPXPqyrov91azzG6Ps+pBuy+PztUxZJJ9vutCljugScOEut4QR1E z831Cellkn6lGkDaKkqq1zOTvC8mLdD881KAb8o6FtQEJg82z8l0ruvztADt n0LlH3RZpF/GBRD02DI68nAW2SfgIhCmEaTRvpBF6o9dBGWuHVcYHmeR/R7p gGv0PhlZ0evzKZfBj6cyW+/UretHdMAzpkUTruV1v9orgNcntqx6TzbJi14H WVuu8j4+k03yGbpA7RWLg/D9bLIvhx4YYS/+1hecTea91wOP3tiIvCxen5fX B2xcB73kvmcT+c40BiAhpHtkgS2H5D8ZAJk9fjLR0jmE/6ijIWj7IP/u4q0c wo/TwRDcE1j+uekFqVdRugU2xiao52SSeqO0W0D0IysDN2Mu+b62GoOvwmV6 tSK5JC93G+ilPMhz1Mld/3yZAJ/MPouBhHV80AwISL6uftW8ruc1A7l5SoIK q+s8z12gAX87/xTII8+v7x4YpyZ1xajmkX3SzYGTvL74Zds8oq+OjwXYUc7+ kvI+j/Q7dx/IVzsomc2ReuYRSxD27WzKsdf5pP8WW3Di8t/NQ3kkZl6yBTWd yUb+w/nkeeXYgZW+ndzLJwqI/RZSHwI/g2rbOF0SW6XYA8ERx0adpwVknxgH cGFyxCO/vYDsm/QYfDcLHrhLW0jeT5gjcJ1Vkd5ziMScA04geTFt3sWhkMxn dQGb/7lcO737C8F3BLqBoDuXdIWUvpB5V9yBQIuQHuu9dfzDHcD4NsOuAhKz 6XuAarakW9SRL8T+MQefAiGsKK2JgUpghpWnwHIxUayMi0reV5knyIkPzMgS phJ9wy2eAZobLuIJclQiX/Lqc6DEbpYVcpHk9YAXaHaUzXFxXMfbfMC01lT+ uToq0f+anR8Qo7QBOEjmXaR/CewLiwpFlkjs8fol2HTwDXX77iLC/2D8K8C3 Jlvad7eI3IcjANxOE1Jsciki/KTzAsCn2zvLSwOKiDyL64HgVPNURXwBqXcr fQO0495UW/1XTOC04rcg5LqrihFfMXnege/A4La7tZdPFJP5hiHA/LFcPbhO 4pgdYeCZ5nTTpiQSM/SFg4ZN7Vq/qcVEfv7VD2BHQXHLVEsxuW/7BxC5P6i1 cZXkrw1GgIJVuc53KiXkfe6JBhtTj1x9oVdC6EXSooGyMUe3szXJS56PAW2N 0z23QkqIvhv8YsF8TNDA0akSIr8VJICT19wM+GlKCf/VnwnAkfXeEDs7iZlT E8HmR/IjK6dKyfuWSAL7NGbGS7xIXkAqGXA5nZYy/lBKfD8cTksGW5PCvZiy Sgn/8sMp4DejlrDGIIlfHEoFDdQsq96TZUQ/fdV0UDaztcxFrYx833vSQS63 yY59N8vI+7TKANEPuHNMfcuI/TjiMoG9iMvarxES98McYK7beT7kD6lXm84B N72Pf8BYy4l+Zu9zwfnxEXkPaRKrbM8HAuHKz9helxP5GmJfAGddZGdmXDnR f8tGKmBZXT18pZDk+SyoYOXS57rwCRK7nC8CdVvY2YVlKgj9snAJKAF3bzVq VxB9Qj6VgGzT8kxrUxJfFikFkRUPdPICK4h+a6fKwAOnnrAz0xVEn8sPK8Dd JPG573SVBG/CWgkMunxlfTlIHJFYCVQl5Ia/yVcS+gtTXwH/bMxBw7ckXxVY A3by0DgwJFcS57frXC1gPqdTE19G6kU21IHlmM3mc3OVRJ8HTvWgRtci/fHp rwQ+qd0I7OoksaDFr8R+zdMtgEU4Y+QrYxX5vht+A1E+It5/uEns2/UNNKrs 79BVrCL0iU2t4HA1u9W+wCoib7KnHRQf8uO8lEDqjxt3gMvPN1M9C0m++0cH eHKW7r+p0Sqiv+u2LtBXMRuTKlFNYFGrHmC731R1+Fz1Ot8LmJ+OLmzXqyby Dmf0AkmlHpmHntVEf0/afvC6tKoT66gm7uOjwQA4XRTNUmtfQ8xL2w2DXl6+ jLUXJOYeHAbWziFXRSJriD4zaiPgA/Y67nV1DdHXSHgU/ClwlrvCXUv4SzOM g1c8q+NeIrUE/9ZlHBx4bOdboEDyu/+NA23pe928d0ncSzMJPudetR0rqCXy HHingBJXGzdnEznv+2kKdD/ULFEeJfEUnAYUybNbP7HUETjJeAYYZoknWN+o I/bZazYHdqaz9tLS1hN9U/kWwDXvPxeGd9SjPOd9TxdAxM2R6nIhkrefWQBC 23NyvC6T/HTxIpCz1QvYnlxP9Cl2WwKeasrMv8rqUV6a6MoSqBUUc+vsIvDx Yotl8PG7W3b9hgZC72T0C4iHXIrxP9pA8Gp3fwMdz5qBJ1Ik/rH4GzyyluWx UyT1fxz/gCKVw/46VxuI/Mi3q0Dl75rL7qcEP/rf/BrQ1425HtfbgPazYt1G B92VdwUHTxC8II0ZHYwR92t5vkjqXSvo4BSL/bm7TI1E3nW3DdD2i6qkqHgj se/+LfQwOLHYeq8swS+Y2tLD/DcSyewqjSif+qCPHtJa8O1f1if03ruyGKA3 70/2fB9ynuUxI/zEbKKeFEToZWwWGGHjr16vsMhG4n3rM6XAHY2VdC45hF5l zIAJfnAJmVMcaST6Jpsww8xB+Zp66Sa0D9sN662w9YzLvM/pJsLvKnUrXPpU uENFswnplV79xwolHCT1K42bkP9KWyIrzGY7ukR9RfDl+35tg+0PzXY5hTah PLMwNTb4qy9eBsQRekmnGDZ48qOAV04B4U99eoUd5ihw8aaOk35aLdthZ8Il RYsFkg8R3wF/bw0wEV4jsc3bHVCqZ0tGAlsz0ncsG+2EuTb0ypGQwDljbJww P2bOyt+/GeVP/VfCDbuZhYM13zejeT38quGqpWnh1oRmdN5WLUU8EGCjjD5f iHnO2MrdsLCtK/TJJKF3/mjHC3sBZ4n8T4LXOfGFF65FXhynpWkh7r9zEx+E Fo2ijttbEP/wWQgf/MJYUWErQ2DKbDM/7L+3cVrsXAvyC68V2AtpvsluW9Bu QfmRE7Z7ocyH/GvmpgTvN7tbAFIlU+eNA1vQeYonOe6DxSahu3SmCF7kmMsB mDZhaqq7ROadGDgAo25L5RnSfCP6vZY7CJ8YtV25x/4N6XnvUg7BMwasb92k vyE/Bq64w7Be5wnHJ29Cf9DvyFFIbde6nRZI4K+G0Udh8iX+7OxwYv62+RYR +Er7y6WSdFJ/30sEXtRYCWzvJnBOt88x2H3m7vYNR1qRv2Nf4XFYW3HqFqNE K9rvuy5FDBYqMWX8J0vwvQMXxOB7hdgLHNqtaF52bUYMGsgMvD7ymMCS80fF 4biE9rbLtcS8ae3YSdiRudfgelsrcT57FCRh1YkfKQYDBK5M+iAJE4/7atz9 2Yru29pXTwreO/rVz5WnjTiPtulT8Kcg2JJ0t43Y56AyBuGgXMXzB22oj+5w GQY9Qs843XZrQ/d5OJVPBu5gvzC7N5jQC41+kIHitKb1b0sJfrNNkix80BXk 67mrHeWJbFqUh9TAsNNGgu0or+iFrAJk1Iz6J3+sHfn/OOKnAIMrP5v/UyL4 0GIRRZibUX7e1rId+XMkOSnBVd/FLTe/Elj936WzUOHc7wrZFmKevzX7LPRm oHHe09eOzuM0/S5lyPN481znIsFHOA4pQ2jC36DB24H8R64/UYFOCup+mF0H 6nvXlVEdVv7TPsPjSuBvNQrqcGveVZo/3h0oL3PSRR2GHzO2yIzoIP89XFOH 1N2O6kfqOtB+Qn50mpBuJXHrrn2diA+wFL8Ad9XKLWBHCex17tEFKPah49tN yU7kx8JQcgHeOrvp3SdVAr84pKUNK4MN9snZEpjG0fEi9JXilLpT0Yn6a9Zv 0IFxLMncLxo7Ud5bNh0dSB1U+pfaRfj/M/6sA388ty5dnSXmV1VvXIEXu+rV /Di6EDYyqbkKuR95GGbd6UL6goFeXXhCnUep26oL+XfnKd2AagLpB2gdCZze 8/kGdKoZmFZ+RegnN8jrwUFu8KA3l8D2x/j0YXzBgjc9czfCagb/DGDxy+fm h3Z0o7yvj6Eh7LzFp3metxv1ldJ1NITMLOd3BosR/DE7mpvQQjfhg9B1Al9X ZrkFxf/pZWp96kb3Z+2vaQxVVKmuitkE9nkbagwN3+05L1FM+FW7TRhDP4ne Ma5WIn+Z4n4bTphf5Rz8S/g1Him9A0P6tR9ZqPagfRJErcxgqnDGGYNLPchv JbHWDFY+Yt9+Qb8HzT8XO3gX/uRoTpKw6UH+Vk5Dd6GahnrfWgjBl2jeMoe0 xcpyPlM96P0Y01W/Dzm2JrA4LSG9inazx30orEvpsqDpRfN2EwX34ZXfFVYX 2HvxPs5/aYUtYbqoYvQu6V68zyj/zh1W0CgSY0zwIvQW9pts4KP5sJZ3AQSO mjxjA19ja+E+7wm94S4vG0jtype8n0bgH+WstpCTXcr0ZFcvvk/ae9cDdrDG Xayu/FAf4mNdHj+EUluq6V6e6EP7vs1tegjjgvUlrsr0oX00aQ/aQ7dPL8Jn tZHeqL203R5KtY9bcrj0oX00nBQfwbjDoTtN2oh5x9yLTnBH5nEVsUFi3lm/ 0Am6y1Q5r0314ftRq2LYnGFywh/rs7T9+DzzdldHZ+j15UBvz45+dF5Lh6+5 QLkJ12QGOYIXZJN0gw+F66pMTyNcs/2fnRtMtuIcaVDpx/OsXn3KcoO71z5z vrvUj/eLOa0v6Q5XtvW4Hr2L9N5RF5WewGRpCe3LQUifNhXm+RSOubiaF4QS /kMDLU/h7oraZ/yR/ahfxRZ+T+itcbNwKomYF5X44glvG73c71KC/AV/0dI/ h3v8vq/EzyC/ha/MRd6wUN8pPnWB6HNk904fqHucTSfvF9IblQrc84EhrVLZ NXQDiF/btecF5OB5bju7A+E09b/evnBbwoEFMWwA5U87qL6EKQ75EUABYV7Z JueXUF1VXVPp7AB+PmkpOekvoe+cXcolrQG838f/5Ha/gswSFeb2xkhP43Pz 1ytIX3pr6ovvAJ6v9PtalT+MClh5V+k/gN/HSsWTTQFQwdjnXGMwwjr8VxQD oCtTRsJgJNEvlbkkAK6pb7xDn03imvJA+KsnYkS5H/kZORnOB8E3n8UDtEbQ fMfO/VLBUNylSuHaJJEHM9yCoY3Aj8i7i6ifUJQk51v4w0TWwI9xENdL8u5R ewe/L/f1fhMZRHptjYFQmGnsW6wsPoj2zWHDwqBzG4z5cgphPbrZ0DC4Iyv0 brwSwfev6r6HcrZXVx9dG8TPI3LO2C4cvl1s5RTwRFjej1cgAt666fE3yAfp 5/h9r0VAkZYTA/+9RvkUo+iACFie5h+3HIrwHcsGSiSct9SUqE5DfYx+av+O hGfmay9Y9iFe51zn32jIpv/45Ngw4kd1P8nGwN4GIe5rk8ifqqPsEQOtk72G FH8i7PdtkDUWvjc/a8m5eQj5dbWIxsGl6VJfqvgQfp6R3ZWhCbDourXVCekh XB8ORWYToHft3ksJskPo8+TzRDYR8ie57vZXQfO2WhsnEqGqmUySscEQ3ocz J0Q+CUZN5lWxvEB675EG9mR47835vSavh9B5PEhRSIYSCkMOZUEIp0Eum2RY Fcp05FEkyms49LwtGc6r6/hOZCO/lCLmyBQIs5a0SocQH3RhQTsNMt58/nHP BPKfEmP2TYNNW3fTO8wQfXeXV6bBWyaKmcdW0PxK/V6YDr15/Dneswyjz+dg pkgG7HA71vNQchh9n3VWi2fBCJGyE9/gMK4/+6vSPgua9Vx+IaKA9EL87l+y II2EMzamNoyfzy4H6XPZUHCy7sOFm4hnfjBtmgOt1c2Mjvoi7B/O35IHWXhi Z4eHEVZfKoilQpmLbj1DEyjP/axtCxVa+t6oHpxBfPtkOG0RbKXliO3/NYyf Z5ihxvUiGDbqqdvNPIL3USwGXMVQONmktllsBJ//mCiTWAL1JpTymiQRVo+P 7CuBr/j3xjfCEXQfkl7spXDJv8u9/gziFVamnEph4UMV6epryE+jh+d6GVSV F04sdh9B982sLVoBHR8xBRc9Q/PPy4PNK2ByxqgH9QWaXx2yS6qA7AfeGxQG ofmObvrDlfj/r7dy5X4cwfsPm/od+QrNWuc9U1qQXsYvRqMaet/JMAoXGMX9 Vjm1tjbASZkkz82HEL4p6g0a4GmO6ATbo6O43xN+YNoA6Sr8Z1SkRnG/V1s2 VzbAhwLWtivnEf8Zs3vaCI36RD00HdC8iUHw7mZYmnkorsAZ8SuS3VrNkP8F f9UBD4Sj6RKeNcMe6W0s//xG8f3eP/q+1AwvvJ0PSIwZxfvB/YfaW6CsdnL0 xiaEFUwLM1thmFBchXkbymf2UP3ZClc3hE90dqN51plHYm0wO9X3SMoY4pPP Fae3QeGt5hnX/yLeTm5LQTvkrj5SlnlgDPfrvL8y3QmXZBKHbzuN4X3KXmd1 9cH8qO/v7NzH8P5VIoXb+6Ero5CWxzNCX/kH9EOWho9Fka+R/ib08u2Hgjc+ hfXGIswEWCQG4MXHKZcvNKD5N4dg0CDkHpjfYvhtDO/jGrSvfBAOKohW3O9E fnJSVouD8B5z2gnfYcQfGZfXHIIe79K3Vf1CvFl03bZhmJGTVYPxjeP+Vn/3 x41Ae55fbmqC4zi/WbuiewTKuJw8df0w4k2OtrOOwpozOfH2J8bx/AAZjcej cLgt1yPj7Di+v0xAus4YZF8qkDlsieab57oPTEBr0dL0HSUIjz9y2DcNjcR4 w19WIr/mjMvm0/Cy+CMv5jrE/7RoyZmGp6TEDOg6EM41T1CfgXRyUVtmZhBe ox15Mgt9NdxNyrgmsFqVtc7ATfMwwUKB19pyAu8jdtS1YQGGWIZvnrWbQN9v ++b/LUAf69WlO49x7JzwPOvoIrR4kF57wxPpXw4r+y1CCWcBh3NhE3gf86/e 2j9hqe/GVv4qhNP3284twb5PpV6NfJN4HruUj9Fv2DC9cUp0/yTO37AIff8b UoUUVfyFJvE8Jr7f7b9heEIZ8yWJSUwsTRILVPkDDWLKfbpVJvG8uCQFiVU4 GlrpO2aH49HglQzONTjtXfP6by0+T92wR42eFuutZl7UbZ7EjqdtiQ3aR4vV MaleoLYj/88+i4q02CfPWna3IZxfKOHv9qDFLNzrAhhXcN5Z9qIyhQ5bdGh4 wybwHXvLyVD0ZMsG7I9Jy7uD9t8xMauYi4E76LEL4tdfCjt9x4xjVrz3i9Fj H2lHPY67f8dqvc8sBWvQY7pBy/fBCzSfG8HlTY8VlXGd0YjA+RqTVc1/9NhT Xv3FB1Xf8T72HbndDFj/94mJx/W4/4Jrpf4yA3Yyy7LPtQXnqZVy5aybsElV 9yrvXpxP07ItUNyEqTrEhof/QPyHZM6ETRhb67RKJdcUjp07mQwYMbMPtnK1 e6bw98nA+pQdI1Zq9k+iSWAK7ysw/tuLEbPdwLq3WxjHgi58nOmMWH1dMMfA cXyeZvuR+xWM2IG3/CyjJ3HsHBGm3MmIdYiIrczKTeH39bLMao0RE13Nn1k8 PYXvm3g7fwsFe16hOLyigvTmqg94KZi07qX6DZdwfcdNuVMyFCzgYH8p4zW8 z8K/71LnKdjM4u3c//RRPxum99cp2Hsv++idpshf1fTJAwr26+KGd9wWOG8V +uufOwVT5/f247NB/Xlf1vtRsPhpdg9BezSfJj/3joLR5YQ6HHZCeQk7dGMo 2FV3wfsi7rje6CDj9mQKln7+s9GJZ+h8rFhYcygY866T16ReIHyeQ62Igt0a pWpgrxE2+q+ykoIVppw9rRCE/JPr7Osp2I7HTdJnQ9G+/eIG3yiY+ZmromoR qF8/l30nBatkG96vFYvmlZULeykYX58Zz+WPiJ/zPTRIwewTfm67noLjtFup ucMUrMnGkdEgE+83GmBtMkrBDstuWjPKQ31vBJ4Yo2DJCYn726koL8iXCcdi 7OoaZ8txXHP0YuUIBct+vGifW430CQ/uDOHnPRYUdbgR3afOk/E+CkZVB3Uh rXgfmaebZboomGLuwPJ/3eh+skNM8P5Vez34nAbQea/UGtRRMDWfQ+fmRpEe k9xbjvdbqrPWn0L7tDvG5FOwS3pWYU3z6DwWlMZSKFj3152V8stoXkS+P5qC 6R3Pn09fxTGnhoh3EAUbDtHbJUg3jfNzbSPPKNgdBnrFN5umUb9t4w8pmGWH atDDbTjP+fJnozYFW5L7UTS5cxrPG4r/LEvBHD4Gfr/KM43VMssx8wtRMHen PggPTKPv46WUVUaMccLt9ucjyO+mZvkgI+ajeeAV73Fc7+3DdB1/fwP33R+h gzgf8yeGxpsR4/LdvsVafhq/D8cH9GaM2PtfOSdHzuD8qJrHI2VGLK6azrtC C8dGw9xpdIxYzn1/Ue87uJ7NCEze2ITBrpPX/t7D8/Xsavcf34QVK/Q8uWeN +n7/Qd24CavaKdih7oTvo/P0w78IBqy7IMtpewDeRyVTxr+aHtPbfy3e4y06 j1G5Vy/psRE/mubl9yj/3a5xbXpsxvCsYGcC6hc3Ft6xEaNh6qoJo6L5H7c9 azdg7lZOS1vKcSzkUuDmsQGj9OzldanG58vFZmbABmxbspmVYSvuv+KodTiO DhO4uMZ5YArNj1SvmtBipyP4jFN2zuB9bZfjbv6FYkEsguXcM/j53B7+mb0K eV/8Ge7km8HvNz89bfMq/P3wm8FGIVxPczrs58ffMEnjme4lGZy32hjFOLgM 2Wjntf/eRnyRR4T4D0iz3MO+7d4Mfl9rhvqu83BqqqpZ0Ar3H63W/Vs3B8vb ozTUH+N8zXLO/rYZ+DD5smrkS5RHs1psPgGNYhSZswNxXqUpUo13HGqGiFbX vEPzdnNd30ahkCfz2aVoHBvt/Z2qMQz7blAVzuYiPy/NUJE+WKOdtEH3C+pj t5y90g2zz70ttixF/qLPAps74SsJa5mQOoRXpNLzW6HTEf1/yc1I/0Xifm0L NNurVljWjvzfe43NN0HFLQekZweR/5qP4HwdFKXf/mfDOJqPrh7Pqoa7/9Dm ckwjXvdwRUIl3Dw/8+DIjxn8fjfbRleVwV+jXRJyy4j3e6XIUQJHuiuXLq4i /muogj8VNjVlZJjSzuL5pX+POubDwsoIa2eGWVzfsMoumg0TC32PB2xGOLne UiEdBqU/+hG/dRafH3HYm5EM3RPupBRun8X7mAqLb0qE98MvWjRzzeL9Ge6X XY+GuoHyR8f3IH/G8P2m4fCct8jMqgDCfpvULwXBk648SayHEBZ5onTiJRR4 wGQmeJSY199U5QFZ7y0fOiWG8r0/RdxygGuGwxPnJWeJv3/v2mUGJ3Ua425C pDeqo92jDdvOFxo/lJ8l/l64eetBWKqYKPjiDIEfeqqywJRTQSMRqqjv8YLP qsow7NiTqCxNwq/FlscQPt9vaVhzCel1vt2OsoR2PDf4B64R/kdpdjtCA3WR i936qC/vgPKHJ1DNjfZ5mxHSc7ZSpryh4ETkfK0FwvGKQTcD4TZum31fbYh8 Nhqbt/CvmpJOqT2al1EutAiD4y47fb44IdwQq7P7A2xJH6fmuiN9h4xLXwSk juUsZjxD/C++UvMomMjldSDlBerf5X+oNBoGql679vE16ifItqM5Bro6H/GL DUL7CLx09o+F99LWSiJCkb5aV4ouDuqM1i+HRiD/os8CHHFQgfPD4eBYxLN5 GLXEQhEVyxv+H4l8/WCJWMjtJP/aNwX5t36ZVIiBm1LZK55nIv4Zz1G6aPhj eOT3kzyi/9SgXSTs3Zkl7EJF+aUR21M+wCplT4NHZYjvr7SxfQ8zHusE2lUh nPws79w76D305+/dFqRXKaEpewUf7Kg9dqcD8XraEbd8oOHZsFs3e4n7uTgx hJ/3I/PgG0PEfeRt8HGEUp9laq+ME/ubMDy1goKDrLQXpwk93f5/tyDr9iEx jR8E9htUvABXT6ffVllG/jTDh1IlISbW+rT8N4HnAni44f+jP4nj "]], LineBox[CompressedData[" 1:eJxFWHc4l20blv2jYUep7ChKkVLu+1EksygykpC0bFFEZJOEJCQUESmys8ko e0SRJGUUZe/1/e7ned7j++d9j/M4x3Ve1/2o1ytobnv6Ei0NDY039R/o3z8G uIpjacexy5aWs4+28UMN4YEDW5hxrF6yYgLLixubH7OMYzHR0YcTl62h3Nm8 q9wbxjFZmanGlOZbMH0sju7hJqRnHHnm4QWFAv2fsnGMYzQ0CbkwKhBGCdkd DOEaxxobND/4FobCjcUGraybkZ/ut/xwBPTRO3o9kA/lUz6oS0fDhX8SDEz8 CKf6xVo/hTYBHPE+23EspVKaAH8JLh2iFUT5dscE4p5Do6KfbR7CCPcNfTqR BFt0G6xWRJHepWF7xguo8i+H8bY43p/mUF0yLPZ/mjC/C/dLLYWlwP2Cfoed pRD/Y3J03UuYUmjzaWov6petv4/3JeTX1bex34+wI619RwoM/4sxj8ni+elv FVIgs7/4c6uDaH+efyJnkuEdAXaFP/KI59szvuMFnH630HFZAeHfIuOvEuG1 M/22AxDdI4nVdd1z2DdaR7l4FPF3FfglE6CeX3ZinxKa5+1QZhcL63bEAhMV hH/6b74cBRXf+Xz+qormif3+cjYC5p22tjfUQLhzVt44FEqO6rF+1kL56XsN dgbCAl3NsiBthNdHTifdhUolxxzhGaRP3nFe2Rk2icrvnNTD9zW6FHoZGoXs /frCAH//o6JXdODgrOgDw3P4/VI3T2yDDhf4lTaYoPvRXEmdEIKrtRxz5aY4 dtgZqwsDpSmvblzE37vZh9sackWvmYhb4nl92dvcYcK6WY6eK3i/Ip+oACh5 bbTmwXWUb2iyWhkOC9r6XZVskL5Ge7wwBiof6dozZ4dwpP9NgeewObG5P80R 9U08lpWRAo3W10SaOOP349q76Q0cvFGszuGC+liYDydkQYdvWavVtxFm3vA2 KQ+uHE/NcrmD9Jce6HAWwYA38ZZSdxHfkvNqtAxybY7c8sMbzStW5Y6qhAke wU0RfqjvaaFLNtVQctjLSzUQ6ZXHHtz6AJXe2f7JCEH6qLd5Is2wSdAy7mLY OCYj0/NV1rwVGgUZn94cgfRVtXlq7dDhnFrhnWikP7iYbvwZJqwIBWklIVzg JQ/6oKQlH1yXgual0W249QPmN22azEml9uUbOSNU1A+b4pcN+TPQ/hdXmA0G 4MrRTomRd1S95okmg94/0Mgv8GNAM5WfctjTqjcFB/95uCu0ofn1e1d4pqG9 vvO+8U+IL8sw+zINA8QvRut3o7wd7LTnZmFencJVsQGEY1sVjRYg56Zx5qpF an5w00W3rWuwrSTIX22F2jf50Ip72RoMtxJlbF5D/eumKqVpMI46I7pu+glM xvGVzqtmKvatXhnbOIHRmMZfWltbh7XJmLo5sU9Q+2on8ajRYuH9i4uLnAiz 1/0NpcXYFaXnGfiQ/7NqFT8dxrYUM7lVeAKLMbzAFSBCj7WkHrB/JkrNE/D+ y3aRHgs1aBkTE5+gzucPlUugxzblMfzdJzVB3c8m5iQPA7bR3m7oxEFq/mhW t9cEA9a0g9WyUZ6KJQ+cKBdhxEKaXvw6rUDVPzyoGXqWEdsg+fXH+aPUPJXH /4ZzGbH1Q8d7HDWQ37Ei9CIT1vCoz2hBizq//AKb0z0mLFj5dtcdbdSvY2nq LRPG+jyzM1AP8f21HxeZsDptDb1NBlR/sOZu0W3MWNDaQHuEERWvp5MUgcwY y/mtrfEXqPNlTFo3uzFjdax5p0TN0T5ZBzmiqfpC7aY0C6q+wbywKIcZo/D6 1edepeodK1fEh5mxDzUC6keskH7WZWqNGQtwKvpQbkPtE/3R15WHgjG3j1fX O1L7KE63N2AU7MPde8o6zlSeT+ZB/GkKFiAt9r7zFpof8wFYUDDV7+VHjW9T 9TS2117doGBMIefKf7gjPsRm1JuC1SjMwsueaJ+lHvpwCuY3Eloy6oXez7tu Po6CqcTsVnDwpeZ3XdJvSKNgjGo1hXP+qD/HG+9cqn/OVN49CPHj64TLqP7k pXza+2je/pA3tVS/XqRcwAOEcyN2NVMwBvp9uRvC0X0njJ90ULCqrHqZhxGo /8R+hq8UzMfMMov3McrTtbT6TsGU2dbti4tGvLlaRz8Foy97kiEci/ptl1Ye oGDdCsqq3+NQnh9z2yAFyygc7Yt5Rr1fcluH8hA179Ajl7NJ6L5VW55TeaM8 wMGRgvKm9Md+UTBp2cG0xlT0vmUs+6n5jFkhSoHpCOun2/ZSsJ69B3uUM6h5 gzWZr7so2NvX32/QZKH34fCbaKfuuztgQ3EO6mP5ULGRghmnSiffzKfyYuqH Eqop2P6dXVCmEOUN1HOXUN/vxd3P/4rR/bRik7MpWK/QLru0MtSv969+KgXL TmhjtqxEfNziHur9TWKFD3+rRXlls+a+FEx2S0NbVB3CDwXrblIwStSN67qN 6PsIdL9+lYLlPKyOrW+j5mX/yLVTp2BB7DYH/DvQPc0u98pTMNMHPE3HvqD7 hExFi1Mw1nuX1959Q/M2pm+gp2B9zGxRTn1ov7kjzePMWJ5fgfS+nygfWE/0 MGPmXhTzl8Pofs87rmYzYwUur6oip1CfL8eTDZmxkLkz50/Povf2ahs+yoxd dFqe2bCA9Eqv30gwU39+tXb6rqJ7ijh9mmPCLl0ZC3SkTFL7He6bCWHCOPRl TmnvmKTeC/6rfcWIXZct6qJoTFL3eeYunUePlbd0pBdoUbGjg9v2SHqM23rc 47L2JPX7vY1NO9FjZS9Exar1qH7PAM0LB+gxzs2hDp6m1HxDvZBr2XRY0YIF 65wT0ou7/n5Ni7GWbQS/EibR3x8LbCk0mOk5CbaHiZPUP+/NM3f502C5c0o/ jyajPsV3jS7TYBekXQLjX01S+zeurO2kwbKf/ewwykP+EeUp3TV4zqfAprUe zU87EX11Bb5SM08onaXO03wy0l29AGUlBSG2gPik6O6wBVi6se9r2RLidTu2 myzAlvbzmytopqg/n1t9nefm4fR5w5D3LFPUecNBVlLzEDpou33YTuWzp6Tf Js/Clhho0KYyRc1T3ZPePAUN3VdmTqtR9ZZHZF8mTcH+C8UP2zWmqPdPpvnr MgWnRQ43f9Keor53W7i26BTkyzig8tkI6Yfj3Dwmofl7SdkeGyqveUVC7egE nBnZwjYYifhtuVmTf2HE06Ha2GhqXrTHqtPLv1DmVI7HmVjU1/VMh8lfaJ+l NVb+DPGcUpcaR+HfW55NT9LRPJebOW9H4ADDYLBOJcLPEs0if0Of/Cxl5mpq f5rGbwF6v6HwVY/l0lqE7zhh3L+hWQOvlWQj0hub6EcOw2/hGhpMX1D+1xNb 4odgx463lJK/qJ9N0u66AXij1b3CcRxh7+kfYQOQ01vdZdcUwgIdfEYDUGfw 5/DjeZSvU8sy+gs2pvN8cKCbpuYb/P7C/QtWy7v5ifNNU/OL1M09+2HumRN0 EcrT1P34FA6d/Q4DNAp8+U8g/keFLPN3aKwkwfxCbZqad8X4Z2EvpJVh3ZB3 cpo6T/2OjlAvPMnRzPPFAPkf+Wku9MDhlrO7+K2RXq49pqYbFn2oTU+yRXk6 y1u9u2FI+aG9Ug4IU6IPK3ZD2cwtsvAm8g/IaxR3wbsPeoHpXYRd6h8XfYFb TlrqJD1CeW47Wjs64d/jn9sloxBWMI560gnLgerZ3BjUx3Xlt1kntJTada4m Hu3r92vneAfMXv/PYjgV6RmH/nF0QM16p1uSpYj3cc2xa4ceqr7xOYPT1J+H HTVNvi2wzeSKsfRvhF1evjzXAkWcNPjSR5C/6uvQvhZY94z9YeI4wqPuomXN kGvpqV/4Iuq7U4zBowm+fJ1nbbdxhrqfb6qAUANcfB+9a5RthtpP7kBuVz3U 6nYbusyJMAfXYlg9nGRUMrvAO0PN60kIoa+HCqbNuieFZqh5KXYFEx9hC8fw EUk5hNf2Vv2phUIS9fMph2bQ9zKell4LnbA3ucJHEDZN2WVbC7dY3di7VRHp lXzGZmqgRTWNMIs6yk8yucpSA+dv8rEMn0d6TbcFrSoo+E39S6Iv6ns1b0Ku AgZVHsnQC0D9StNfMVTAyRRJP6Z7CDMyjH4qh5UOG2WvhyJ8zG3xRjm0YG57 sP8Jmnd73xnnMvhSxvBERSbia0QsS4ohG5/6dsdsxC89sbtWDF1WD8+I5KE+ 5VEXeIuh+kf+xIAixE99++FcBEdM+lZP1SD+1vBBWAj3BF3O6/2K8uK2wel8 GGlrcD+0F+m96fze5MM1XTWLYz8Q/ln94Go+bNmxmyN5EPm/DPf9yIP2uf+s rScQv3Xy2NdcmNPnJLrMOIt+v/h6YSwb8tdYLr+mzFLz/xn25WRD31f67RfW z1L987P0t7PhWWf5u+/ZZ9HfPwUylGw4x7rSE8Q/S/0+Ru7OS2bBwwd9Ivj2 I//J4dzQTNhpzif3VBbxdDvnzTOhY8ibzwIHEX9WJvtAJkwf+LJFXAHPG9v2 LgNuj5B6JqeCcBdwufAG0k50vj5jhPRy9393vIJx/FanPhsj7JflHPAKHlFd N2F0AfWjWWo98greiN8ta26BsGnDn6Q0OKjlWWhng3DCeWvPVFifJlF73wth z90M51Lglc7SK+y+KC/PK5AvBdLT6rI88p9Fv9+6lHxJhtDwjlZsMOJroJRh Msxkam9Pi0TYct2y2QsYYeHWV5uG8vpu9IclQulQdi+N1/j8b5FGibCxKFm4 OQPtI5/ZJ5wIGTlbLTtz0L35w/YUPIe3KkT//ipF+vKRwKFn0Hh788K6dryP OI1pAtzI55Bb1IH87xxvSSXACk5ue6cvSK8YxzoXD8Uo54aHv+G8Ttb+eDg2 NdjZPIzfZ/xa/lPo9XE1++kq2kdmsGMqBspWPbPVXzdHxZw94/ExcKhUeTc7 /Rzqq8OgFQM1c4Ke+1DmkD9tU1o05I7nCbvOhfRTSia2UfDljT028rtwLBcr EgmNbFslpiSRXkyN4/sjuOHajYH0vXPUPgtdBjGPqL9vFhoLHEB8sshJzkfw iLqKBpMi8st4RW+MgE07TMQ79ND8hBcfxMOh55Z1v0IM5qjfy5mmI2NhUIY7 KV71HPKrjBvnhcEolj88xab4PI1nKmHQfMaJIfE68tOkLNuEwpm6+/12dxFv OVxZeB/2sHZcWfZGfQwPj5jdh5Wa/GP+fkhfHsjGch+GNqUtxd1DWNHsxPlg uKutlqvxEa435N90D5p0rTshkYbyBoMl4wKg8ha1xpx0nH89fiYA7j4XekYx A+3j+DOQJQDO92w31c/B8x32u/rD8L4jLr6leP7rbRf9YM2Q06sfbThuum3o A9PFS/ZZd6A8PubgrT7w4VX6gvnPc9Tvo8HzVK83NB0Jr9r0Dd/PafiSN1z8 l/ENDKH7THlJuXvBvbO/N8Us4fpZqzpPyHNwX6ToKr5/Y3ukJ1y+eYv/Lc08 wodbL3rCugVGiQ8M8+j/B0RxrHlAixXhY7Ob5tHPw2bv23dgFL3JjdMiiOf7 MpVyG65e3HygVWwevRd73Znb0OJ9y8wpiXn056XcQ5rbUNpL6abWHlzfM2Xs Cj+sibuqHsLzpVMEXODc4pQH1ETzB90yW52hsdFrxZKTKC+7L+ieM6x8Z7lO QQf3++xTcYYht7q85M/iffK7S5yg2Gypr6wpPv+kad4NeHYi8N6uG/PU/WV+ W9Y5wGJtJc1UZ3yeIXOoAxTKXF4v7oL4bDW9sw7wn41tiOgdXL/vzy976Duq GyYQgM8baaDYw5yhHY95YvF8mq4fNnDLiS79R3Fov4ah75420DM5nJfrGX4/ K0ZBG6h5iSGGPRnXR76wsIa/+v/Ers9EfWlEO+evQ87e3Oe0Vbh/0fL0VRiy 3t09vwbnXeWXrkCWI8oGVh9xzLjzxRVIG9W2obMJ7591fPkynNQZu5Xaheff kc23hC3V4qe0x/C8ILbzFlBzekyCYRLnY9h4LOAHoXz6wmkcFy40X4RlHscL hRdxffttlYvwjby56Bz9Asq/OQnMYfDrJ0tPt+A43EjXFDL3mHee3raA9F2p W0yhD8uut0wCCyjP0P79BXj7coGlvSiOhTf/MoHXBDtalaVx/8dgufNQ9dHG lyPHcQw0+Y1g1fsOrwRVHDvWlBpCxcnY83oaeH63q7khPHhqN2eZNp730eu1 AfXPL9U74edwXvuFjj5kcL+rK2+P81qUZl2YMzG6UOaI8/R2AbrQwtIgXsV5 Ad1vOO+YLqw6tffPmdu4nu/ruzPQR+ibh43vAnrvNdms05D+w6FXidEL6P0i WT5qwxyFJO1dsXhenPoDbWjxdtNsZhzOGyif1YZVMYOKpYk43lXQcAp6W0d0 fnmN6+0qtp2EtJzj6zZW4vPGhlfVYZb/uZSIKkL/KkEdmi/XaG6txfHpBCV1 WDnw9LF4A97Xk+u+GvQq0JBS6sT5znIpVbjOJMXg1h+cT9ideBxmtnGsro7i uNz17HFoeuJOou8YPn+8huU4LJfW+xc+jWNldWdl6ElH5/N6Fe/DmWqgBGlS TTL6ORYRH6GuehTWjH62iefGseZP+qMwWFpnjzHvInofLbtKRbi5QOl1x7ZF 1EfFSFER7qkVf/VBfBHlKe0OgdB4YDL5DcT10TxLh6n/vWVlef0onmcx/eAw HLYaEBVXxvVPjMUOQ8fpz0nP1HB+OU9fHgbRlTyP0CX60DUchO8E/eNcr+Hz tufOysI7l2hMDlrj+YH9z2ShcqrLtmlbPM9R66QsbJG2irV2wnn2ujQZOIzp xJh6LqL39f5jvx++8a4z3Oa9iN/3vth+eKNWia/bF8/fqNWzD66dlIs6cw/H q+wa+yCPydZIlUgcD6oekIY9zyL06KLx/N91v/bC5wMbuMuf4LiLxmwvlLKm iZB/RtxD7cIeqOw2ECaZjvt5gh0koUNMxn2OSpxPlPgnDvOXY/wrq/B9gxn8 xeGyid9dh1pcz3hNUBz6C593amvA+YZ8o50wNp3lfPhnnPdr7xWFPzbOnj3W TdzDzFsUitn/0J7swbHEKQlRmHmgQPl0P76vtJyLCKwuvSTJ8ZeYlyYuDFkE dcQqx3C+JeOzENT2VhBwmMTvlTjmLwS7T3Bytc0R+7OOCsJ/LeVLYbRLeL9j lQKQ9+fWenbeJbRP+16VbfD8cabqii1LKE8gsZYfPk+ZLLXfhvOOLBr8UNLq Y1arEI6zn+hvhUdnnGPCpJZQHytmfz7op28ecVQa5x+abeaDDe+0Qib247yk ayovPHtHxEvnEJ5v+rFtM7zG1HaVXQnn16vK88CMqyUXK44T/QY7ueF0/cvz 9qpEPqczN/QI9dBp1cJ5v7UCLhjBJyUfZrCE7uXip80JS3YHMLPbEP2fV7BB uU+bG8PtcP5dkisbzHRLCeNyxDFfkSwbfN5Ys4X3Fp4fvNVgEwywZZDa4YX7 y1u1NsB1vI8mEnxwfZdEy3roWi6SJ+RP7G+lux5asytjYsE4bxhlzgpPZ3vp SEXifsXyCAqsP8fBkxFF7PdWlAKV6Z93Sz8h8gwKmOFBvYqLsglEn1f9TJB/ bs3pSBqub+hUZ4RDh91j1EqJvCMWdND05/oL9eWE/tMGOth9L1ZY6z2u16wr oIUNPUXp2h+IecUctDDrzmKpftsS+h6mtnXSwN07g7y7PuH3s+QNooFJzXyq 5z4TeeoYDXwsIN9q0kPwLkZrwK3y5s9Lg0R+j9QKmLnG9HJomODhy2Vgw/nY 6uoIcY9mkWVgZpE3YzWO9/U8IbIEVBhnmG4sErjmyAJgV3eQ9Nq4jOObNTMg oWIT62F2HNOo6c8AafnXvyc4l/E+bH+mwUnx4WQzvmX8HoHc0yCI0UTwqAjh 5/WeBHx3ltbmxZbRfjK0wpPg5UxUb6YEwb+qmgC1v9qfCOxdxr//nRsmAP17 NR6aw8uor4yExRh4eHhoOl8Bnxd9tfQfEMryabfFiHlTW/8BxWdlod+ViX6P vo8Cd48DrGWnCL438A+YPSJIc+cSwXuYDALf7NLeA1eI/G2/BgDXbuOSv9fw +ZYHrQaAzJbHruftCP9B71/Abn79jMJtor9XfT9Ys01rn3YncK15PwgZOpGV 7kn027r8A6R3etny+xH8mOwP8Dtn/vdSKJGn7fod3JKM/JD9kMDltb2AOUkm 5XokgV15e4HYQxuLr0+IvulVPcDc/ldvYTLR97ZyN+iRaml3KSZwfGcHiB9h d6crI7C8SQcwTz0jdr+C2Gd66BP4LfL5VkINkadC+wnMbu3dVttC8PPabaCw a0etdjvRN/V3K3B/bGbX3UHw4T6tgJ5zoPJvN+E3Km8B7Cyjl7kGCN4vtgl8 qpVijxsiMOPfRhDla1u48w/Rx1+xEWxfN7X+yBjB503UA8n5hbdmC8S+t9w+ ApVBpuU3G1ZwfEOwGlCS1F4cYlvB/SPPq0CD2b2TlRwEvidWBc582/isYzOh D5V7D0w/cassC67g/b7YVwCRcP0xX5EVfN5ppgowdCo6atPOFXw//7hyYFPP PyIkuYK/FyW5DNyuFA5VkyPy36cXA+h5Sb79EJGXOVcEaGFKv/ERQh+oVgQC 3u06YKdI4LvT70Bk5r7uSHXCf9EpHxjaOHoLaBHzz/bmAX7JXMm0U+Q+Gnkg MeWQR4ku4X+3OxdkxmEiv0yIftm82WDKdYrJzIyYP/4kC8jpp4x8u0joo4Wy QNGmTdmfrxD4qvxbUOPZe7TegdBLM2QA5vPhoqpOxH2WD70BGvIqlOqbhF7e /jVomXjdUupG9En88wp8NXe/kOVH7s+dCrZj+5T2BhJ+yasvgenWAbH0e+T8 9ylgsF3z34tQgud3Swbjyvzu0THEvnliSUBGsMWU5ymRp/Q4ETiveCs/jCf6 2bEngqXcEdb7SUTeAvNzwLizKMbzDZGXzpUA1Ohs76xkkvfB4kHwdyFz12wi 39I8DrBHBUncKCD4rpRYwE8xKrhcSeSzuUaDCwMbYn9VkferigLPKyo8zGoJ PyNDFNjpKnHiXAO5/+tIsH9kvuNkJzF/lCsCONWmv6v/Qvhp7B+CgkTTp6pf Cd5qMBwA4w8Wx/rIfhVhwPOQm2pZP9nvcBio5JKWVBgg750dClQbH08d+EPk eWo+AEGpGp+zRglsej4ENPquFe4dI/pk698Hp+FlL4lpgi9/dg+cz5Bj37ZK 5CfrBYA8o/mNLTSrBG/vDzYyFq73plvF/Zz+fuDy29sscoyr+Hy+Vl9QbgyY fzMTfDu7L+BlXmOIZSV4+aM+wD67nO7UxlXivUO9QZ2J1zpadoKP/uAFhFiU 13I4V/Hvk5PPC7jmMqxc5iH0613vgnbT2sUtfEQf0z5P4JOvPuu5neA1D3iA HvP10zKCRJ4h4x1wYGPTxKAw2b/aDYS8ezAWLUbog7/fBoMWOn81JUh/mSuA bJwja7sJf9eoC3hc9Gk4aw/pb7sFVDkMfvHKkv6dN0FCCV9/vRzB02DOYOHK 1+935AnsedUJpJWZfP0Fyf4hjoD2ukDX46Or+H3F+hzAOZ7+TnVlUt9tD3Iq Ej+tqJD3pNiD9daX2jLViHtk77QDFrw7Wy5qEv5BSVtQ8n64kecUiWutAY9t Wv1HHeL+MiNWwGaL1Uc3XTLv+3VQUy1Vu1ef0FuutwI77Meq+g3J+y9dBbf4 31Y+Mibzqq+AllqHctULRP+GK5eBuKNs6ZIZyQ9agrvbZ4veWBDzsnUvge6P +e/MLpP6Pguw38kln+saiWksQJDAkdxaK3Jf3ovgZ/1ylqstsZ+MgDlQuFma KeVA6hPNQISQ55u+G2R/djMw1+z3It2DvLe/MdC+rZp4wYvs/8IIvBRjecbh S+JCQ7CurT6u2p/c94o+MHK/H3sriLwPtz7IEj8Vs/s+idP0AOsntqjeByR2 1wUWHm2PwsJJbK4LindFPFR+ROYlnwFcnXphc4/JPjKngfXdzQ/SYkh+SRvU SHYFn39K9knQBtu/xASxJZD8+Cng7G0c8P456b92EjTv2e7n/ILUP1YD4t3f vSVeknyxGvD0fXa3J43s8/g4iLlizTGYQfL8x0G2hnziWM7/sSKIv34jn7wn lwpo2MMgu/COxB8UgaHA9WX3YlJ/QwkMsrdW0ZaReFURONAdvO9fQepFFMDa dKze+iqSD4YgeJB2e1jNf/0UAO+XK4PcH8n+xw+DFx+b3sTUk9j3CNhfJHtz RxOZNwpAaXoMltTy3/eyH2jE0TBLtJP6VDnw5YFly+sO8l7bZYDF3Yao/V9I feghMOGw3yy/m7zH173gjkWUhMI30s+gUMJydnWi/DvplxMGj09YFB7vJ/XC h4GIfJ1X3S8Ss+4GmbukNU4Nkfn0YgDwR3J++k3mdXGDug3LXw1G/3t/YXB2 zSzp2z9SHysEfo7XWplPkHzIHmDXL3VgaIr064iD5faHK9dnSd5vBwisXqge nye//ynaEp78CyFOSyRfwwsSX1afXVwh/SWyQDpm9w4PmjUC840rFN8LG6Kj WyPuXy5couY+lxHAQGLTvSWdNudvbWBeI/odVioxN32vGM5C8gWSYExHgrJ5 wxox7yw3cFN60PpkE6m3Wg8oB2aiBThIPm8HiBQ7Z/6Ci5zftVIsxFuxa9fm NeJ+2QPFGZSdU2/4SD+/JFBYCi6S4SfnaXODD6OT3gXbSV6BE+j1GmgCQTLf mQ/0N5dyVQqTWIyuxLZC5JuKGImTt4PlrKAX9eKkv2FIISBp3Fp793/5nCXc kWflOqTIftGLxc/9i1cNpf/LYyzZ4yJU27uf1CcIlhRdC3hw8QDJ+0mWqBr/ 0x8+SOani4NPWroC1of/w6zADCscnlAgcfCUwj9pgbfOGIk/iZa4Cvm5LB1d I96TTriEiWv0qKfyf/dhBREMp1kYTpDzW/aUCMzltwWqkZjmpcLr4W1PNmr+ p+cpCXjqa9p7kswv5gQWp/+KvtEh93srBhSZ9EbcdUn8TqKEv7g4U0ufxC6b gOm17V13DElMkQL/A83hHL8= "]], LineBox[{{1.9878865991090657`, 1.3543031775831691`*^-13}, { 1.9883306963618566`, 9.062695038863922*^-13}, { 1.9892207977123333`, -2.89226284456659*^-13}, { 1.9897035508114822`, -1.943245564461904*^-12}, { 1.9897035508114822`, -1.943245564461904*^-12}}], LineBox[{{0.004330457838550809, 1.1988882109292831`*^-12}, { 0.005417489561734625, 1.1713324754580868`*^-12}}], LineBox[{{0.0015835426096924678`, 6.097257421178171*^-12}, { 0.002498553563646729, 1.0477591017021837`*^-12}}], LineBox[{{1.9802267038864816`, 4.7192911489204125`*^-14}, { 1.9808078253096302`, 2.6126454994956467`*^-14}, {1.980820001269057, 1.0421663532156345`*^-13}}], LineBox[{{1.9914196500123493`, -1.2427836537654003`*^-13}, { 1.9924419094414973`, -1.32275532039995*^-13}, { 1.9931356869355459`, -1.8540169399727802`*^-13}, { 1.9933221566670647`, 6.364575533268636*^-13}}], LineBox[{{1.9640987058303465`, -1.70086167372574*^-14}, { 1.9649921707182232`, 9.880984919163894*^-16}, { 1.965678597943036, -4.352074256530614*^-15}, { 1.965678597943036, -4.352074256530614*^-15}}], LineBox[{{0.026350109211944337`, 9.526427655491487*^-14}, { 0.02760281693199906, -3.456679387170425*^-14}, { 0.028216211956791783`, 2.1294077612310504`*^-14}, { 0.02843341615954314, -8.39661673524006*^-14}}], LineBox[{{0.03557391585864753, 2.3314683517128287`*^-15}, { 0.03680374230388991, -1.623146062001979*^-14}, {0.03739277942159735, 4.6052051061451495`*^-14}}], LineBox[{{1.9972083674759915`, 2.26252905299873*^-12}, { 1.9979406775092352`, -4.681205423295865*^-12}, { 1.9988593097021097`, -5.820648409738016*^-12}, { 1.9993135319588609`, -1.0023341878717673`*^-11}, { 1.9999999591836735`, 2.155316607978762*^-9}}], LineBox[{{0.020535767660489486`, -1.1519674103510626`*^-13}, { 0.020876025547010978`, -7.930878176409806*^-14}}], LineBox[{{0.010452116315053678`, -1.1190104398650648`*^-12}, { 0.011449102014118605`, 2.302713575375037*^-13}}], LineBox[{{1.9620347301258345`, -5.3779203312842587`*^-14}, { 1.9628231956262647`, 7.698286452750836*^-14}}], LineBox[{{1.9840002118990494`, 3.630651335129187*^-13}, { 1.9848985602377929`, 8.721356969942918*^-14}, { 1.9855849874626057`, -3.64885899273304*^-13}, {1.9859329599986912`, 4.297007194509206*^-13}}], LineBox[{{1.9730157104597952`, 8.038569809798447*^-14}, { 1.974599258106943, -1.5235159012471993`*^-14}, { 1.9752096448489642`, -1.8235413179468196`*^-14}}], LineBox[{{1.9955382299177344`, -5.043576667418393*^-13}, { 1.9956089530489183`, -6.962375042256369*^-13}}], LineBox[{{0.02215153575109261, 5.595524044110789*^-14}, { 0.02262798561728977, 5.473966457197888*^-14}, {0.02330905175845, 5.300204719560498*^-14}, {0.0233548756632668, 4.617378953104516*^-14}}], LineBox[{{1.982095511473139, -6.902256544094599*^-14}, { 1.9826743788441172`, 1.0635134407522997`*^-13}}], LineBox[{{1.9707098218150039`, 5.693223670277803*^-14}, { 1.9711700157415382`, -8.165135234605714*^-14}, { 1.971856442966351, -8.832379272405434*^-14}, {1.9719001314095574`, 2.1821433549007453`*^-14}}], LineBox[{{0.007984504445927354, 1.2296571932877493`*^-13}, { 0.00918978315958251, 1.4921952562474419`*^-13}, { 0.00918978315958251, 1.4921952562474419`*^-13}}], LineBox[{{1.976485155053046, 1.8103851751050116`*^-13}, { 1.977283163141386, 1.0511591597150983`*^-13}}], LineBox[{{1.9789406327784322`, 5.1596999971358246`*^-14}, { 1.9789410135779752`, 5.1808557444132934`*^-14}}], LineBox[{{1.9676892402150108`, -5.1936233091964824`*^-14}, { 1.967755017501798, -5.558886684298159*^-14}}], LineBox[{{0.02514923683282817, -1.1427525592466736`*^-13}, { 0.02514923683282817, -1.1427525592466736`*^-13}}], LineBox[{{0.015047899850261759`, 1.3304912727107877`*^-13}, { 0.01526052786580041, -3.606358446855049*^-13}}], LineBox[{{0.012881336336973713`, -3.3392733023163146`*^-13}, { 0.012881336336973713`, -3.3392733023163146`*^-13}}], LineBox[{{1.9871838999539597`, -3.111511048814464*^-13}, { 1.9871838999539597`, -3.111511048814464*^-13}}], LineBox[{{1.969434311610922, -8.776868121174176*^-14}, { 1.969434311610922, -8.776868121174176*^-14}}], LineBox[{{0.03060659187613595, -1.184607967275042*^-14}, { 0.031283187080755406`, -1.6930901125533637`*^-15}}], LineBox[{{0.0066929997658162575`, 7.759293207953989*^-13}, { 0.006747386089046483, 7.488454301096681*^-14}}], LineBox[{{0.016561706485730052`, 5.361822097427194*^-14}, { 0.016561706485730052`, 5.361822097427194*^-14}}], LineBox[{{1.960624997623548, -1.9295676167985222`*^-14}, { 1.9608736073693467`, -8.550937735662956*^-14}}], LineBox[{{0.03320526207637583, 2.2548629630136932`*^-14}, { 0.0342984056545659, 4.084510507595951*^-14}}], LineBox[{{0.018527738344276564`, -1.5812351428223792`*^-13}, { 0.019260257456407852`, 1.315503261878348*^-13}}], LineBox[{{0.03866828962567898, 2.0872192862952944`*^-15}, { 0.03877345108030803, -7.218670106112768*^-14}}]}, Annotation[#, "Charting`Private`Tag$29974#4"]& ], TagBox[ {RGBColor[0.567426, 0.32317, 0.729831], AbsoluteThickness[3], Opacity[ 1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwtWHk8lF0YRSXJJ4QQIqWSJETk3tdOQvalpMiSJSQpUSGkyBLJWpSEENmX YeyyU9n3neyVpaTvXWb+qN/5nfOc5zzPvfPODH4LJ10rGioqqgz0H+x/sYGY UwfEYhAJcfS1eReM5xTc5Hkbi1Bhr69MpHJ7qqwZxTgkJhp9FSuAGIFzC3nj cTjvVWoJ3PrChH384hEba2trwYCrQCe8105L8BVRf/YSED4vkMpV9wppbkJf lVYkum0OU5M2r4l6i8skl8u9z022J+D+Jkt6pCtFW9nl+gm432TCZZIGm0D7 4XcJhN8tUyBzU3Up8FcCkXdQGRxttt+zopyI662/KZDYjoWKGEcmEvzOKyQa v1zNsslEor+PAVga7nY4JPUGxxoO+mBQ9m/g08dviPmOnyY1RvF/WOqi4BN6 oPCncoPh0bcEvq4EkrXtZkrvviXydVuBiPRgOoHPFD5XEXjT5Rx5wplE9Lso QxJSDQv45JxE5GFVJ3X4Oc301VHwj0vAo1pTfceBd8R8umrg0DbhDyJu7xCM zpGzIDXJ0zMYN78j9Jf2km57TTt4H0om/I2FSbzltc1pHskE/06cVPs3SeRr B4UPUQVOso9C/h57T/AT0oDDw3xJ0Ps9sf9yXRK5CNHR7n5P7I9VE9iu83xy P5mC9xcXUAQsUpssb/1TiPmkj5OKb/feahpIIfwZlmSv5RZ+/SWRSuS/LggY fkSePhCUSuwXaIO8U7cj1cZSCb91eZKZs97aTZk0Is+MFIn24ynj2LA0ov9d BHyc31NUPU3B1qokY+EFzgXkA+HveApQ2Tfd2/fyA9F/OwCpqWl9cgsfiHya R4DudICsnXI6oXeRI/0RtIkPj6NgCzWQZKW8VfojnXK+kKSRJHBlUj2D6HdY B/wapSbveUPB1OqkV/zDfNIbGUS/jrMklatl3hbamUT+LzvA4qu40cD3mYTf FW0QNXBPMW8rk+h3URbIc5skDRp8JPxo+MHsRakddBkfCf6EEqmhiT6HgyaL ch/GSnnn3K9lnKDgeAS47J7Zq2CSRejVDpJqhYyrO32ziH49Y6Vc6nWu9llZ RL7d8iQnW8nDVP2U+vBjpOqAd98idmYTenkOwJHC6n9MPJvIw36E5FD3SLLM LJvwLzwCyJMrk7pPKXpDORIrrcXLqTwKvslHsj3cruo5QtH3HyKVKcmtM/33 icB8J0kslh9T3p35ROQZUiBZP+I1kbH8RPSTPUUqefNsV2sIBT8VBkyVm0XX Sij15OFSyxF7u/VJCjaUBoVUfVzPWHKI/keMAAOfeiM/pOAbfOAqUuSRb0vB Jqwgz+yo8PkXFJy6i0T/4GX/EDmH8GM6QDKLp33mOkfhJ4TBp9LbYBdHLuU8 hUi0/ePz8Yq5RP5xIXDxj94rMadc4v7OyIGPXFVadTEUHHsKbJcR+3epNpfw v3oCGJskflxaziXmkxQBi3369G+48gh/EWXgb0ZnpaeYR+jHFQH3SEn5doc8 Is+iGMi55sSVH5FH9H+FAPXJg7dtSJT6IgiGr3e2ckxS+EN8pDvfnwg1MOZT 5ucHjI7Az0Mqn/Bf4gfvlpaGhK9S8EslIHsrSWYwIJ8y3ynw5ZfRi5BsCpbl B3Z3dy/J9VL0s6KA+k+Z+gpNAdG/hBdE3Xd59/Z4AaHfOgVEqASpDPQLiP4j 8qDGp+ci7f0CYv4aFWC641lewbsCwi9ZEqw8lmOybaHwiCJ4Qv/TjmutgNjn mDzge/a+pvFAIaEXVgIFey7x3Vej4DkVktZzRg+Rm4VEngIpMMFa+W0oupDI 46UJPF/eFg2rpOi5ZcFermOBCt8LKeehDtLi+id+7C0i6rtUgdyBULl3skWE /rMC6EpUjDW0omDdc8Dx0NqvncFFxHysymD7+zTtonwKPqMKYo+ZfbAbouij 1YFYOjMtN10xwceogc8iNVebRYsJXlQFXM2+W/LAhMIHKJJWxYXZRX0ofJQ6 eJY/5DySRuEfa4FpckZfsmYJwbfqgIeK5pLGbiXEvIgOYK9lDdv1moIZdEC6 Wv334roS4vOJSQcoNnqoOCyVEH6MF0Cv5slEHs5SQu9pAJzbRv+0yJcS+7mp C3bqRRp62RF4ktkQvPp2LvtUeCnR39sQnDb+u3uspBTfX06gIWjqzbKOGC8l /LWNgMVlywrl/0jEfvcag42hfdxrp0kEz2kMQi0a3VLMSER/BSMgOPGg3eQx iejfZQJINmLCu7MovMkloD874V/aTeF3XATfHaJHblCXEd8X8q4Bn0UN2QNC BO7hNQecLlQv23QpWPgqyPqZs+ztQeBo8StA9Y6NhnhSGe7PoHMVDG5wvR9v ovDnLgNXzxbqyF9llM+Lq2D3P29TVd5y4n4eNwdRtkZmwioUzGgBDn0Vvsrs WE70u2kBsiGNxeqLcsrzzALA1K5rfaRyYp8fLUDj3gwr8gShN3lwDQgjFTkd tGRC/8IKuPz8IFHDRcbzBRlZg6LUyLwCEQpfYwWornhLpimQif37WQMVVoeC OEOCJ2vagKDPhmdC7Mh4v+TnNuDLA/ki7wcU/XFbwCUhLOP6nMA/rtmCqzPs JdbJZCL/dTswrzdXer6F8JNrsAcSu7oAHCWw128HcK+sokx0leLPdQOQb6Uj AvQVBC66AXYee0lm460g9ingCLQGveXpxCqIfGGOICLcofK3MgULOINeNSPF eZMKfJ8/3jgD/i356qEbRL009U1wPUdYucOb0Ms9uAkyr++rrX5B9KMtvwl+ 8tCoFqQS9Tm7XMDZL3N1qSSi3kTXBfgEdKnFtVcQ30de3wL1oPJz8ATBu6fc AgYpLxtv/VeJ46IZVxB32UfDmp/AGx63wSjLjWbj0wTmvOoGjtYbaZ0/R+Do QjfgdF+hFVyuJPZb6gbyxU5oi96sJO7vlztgc2pf+0E/Agdl3gUK8TS6bNGV xH1euwue6M537Myg6B3cQdvObr3f5ErivGnvAXZS5de5rxT+0T1g6pJhMDRN 9Dc55wHeHonqbN8k/CYZPQFpU6E3VqOKyCv8EGz/dOJS8NUqfD+39LyAug1H v5crwReJe4NQ7m2XbwVU4f7p77xAV/v8gFUcwUuzeQPex91mxlkEP+fkDSxl q4bUq6uI81jxBsvJUSMn5yj8gg84Y/rI4iBVNeF34RF4wOw4xspKYIfGR2C3 p+LExlkCaxT4gsM6C9NVgdVEv1x/wPVQVcYmsZrY55XHgCkjIZC+gMLXPAY7 +jb6M5oIfm9gAPhNpyeiM0pgvWNPwJJk+sOfa9XEfvOfgAnLHe0v/6vB+XC7 p6D3udnBswI1RH/+QNBGLrg1eIbgc2IDQc0CU423FoW3DQLF3Hbshy1riPNQ eQay1Kts6t1riDztz8C7u9xF9iEEP/wyGNwT9d5an6jB+0c2hQIns94LcX9q iOeFeBiwDBJPRJhrifMrCgMXi4NWRgVrcf7Rf8/BhekJRX/ZWuL95vgcHEpQ f7I3nNA/UY4AnC1ve/NTavF8pgURgHFz8/jFslpiXqEXYLuQ4f2/X2qJfbS8 ABtGH1sSZgj9nHwkWPCj41P6R+hVmiLR33vmN6dY64j3r/ZL0DNSXPlUiMC0 HS9Byx5WVhG5OiKPVhSoAjes2g3qiPu8IxoU2tfmu9oTuN83Grytu2tSEkng uPYYcPfhwCu1+TrivCTiwY0MyaXvNPW4v9vXeGDRFyIfwkHgSJ9XQFNKYfyb Yj3h9/M1OLiYfOxaDMH72yaCfTxUHrRZ9cTzqikRMJw3aUqtqcfzRYm8AWvJ u52Wloh64bU3oMnMOfe+6mdi/pwkcKdFGon6+RnX3w1KAYwieROf6RrwfF9o U0HSM9GgP9wNOB/6KBW0axzpMVNuwPvX+qaB442stw5HNuD9mdPTQaVQKKdR GsEPSmcA46e7yQFlBF9RkwH8ztH8NzfZgPdPWs4EQ3WLyZ+kGnH90+ws4HbE XnP8fCOur9meDRgeT/5gu0rwvEbZQFplQM49oBHPs07zCYRXN/QiPYQ+zDYH qFa8Y2y+10TwvvlgkI8/byu4CZ/HYyEfuHrFXRJ924Trd1wqAIlIeEp4YxOe p+1MIfhD8lK4yN2M1y/RF4PnPJvTgaLNeP3Jx8Xg6P07ISQlAsdSlwADWcd+ vhvNeD6tzRLwsfiS2xSJwG/YyoAKVxc3ZweB6V+XgX533Sr1yWa83/jxcrBL +hxTJmML3u/QETK4ViCZ5nqlBefpDCrAvlzmQWrqVjzv8cUqYBr0R3+cvRXv n6hdDd5YTjTWCrfiestP1UCYrago0JjQf/CsAQpuV1+wZbXi/Q0F60CAljrD eg1Rb/uiDjQLSjzq7SPwlR31IP37o8LWbW04/jdXDyTjjJIjTrbh/pIdDcAk oGnET6YN90d0G4GnqzzPHeU23F+moxFUaByPMLlE6O36moDG3y1v3seEHzVd KzA3S76cMthGfL5NtQNf9f3R0TMEPiLTAZIlQ78+/Un4fX7WAeYY752/Qd+O 12tJfwFu5ZrSYpIE7kz8CqI/VLoKyBP47r+voPSlVBarRjuez9PsG6B25j+y Zk7gMP5OEMT3i7X0GaFnLekCmQx22hlRBO4+3A3a1wcDX70lsODzbsDeXk/j XUTUGzn1gETvuCXliXZ8vh1yfSB/VLGpVbYDz3sPDoFONe/lZ6odeD1VzRBY zSxj19DtwPQaNYLDQMpD2rzepgPz47T9NAwK955cJT/vwObPmescAd3uDvsf xndg98Gr7+AoWB9KlQMpBKZ2HgVn0g8FFpE6iPfjf2OgSImL79M07hddZzQO etOMlJ1/EPhxxjj4zfTCTmQLzzfpv30CyAzsyUvb+wXP8yB/AhTf3qH+FuK4 KUZoCpQmL92KiPiCz8NhMgv6GUSidV9/webJ6a2ZBZsu9mVMaV/wPMoS3wFA JumelRN4km0OlHX1xfvNEn4f5udBOV1dnZvcV8wv+cTvJTDsuH1e4jyOrVfg MqD6Js/yw+Arpmcg+S4DucRSUyf7r/h8xntXAFn607JN5Fes/y0h8ANU2sXv N5nDsfiRul8gZ8be3mwVr9fo27cKkq7LlFyj+obVk3NtV4GfdddFR1YC5zOt ATUL5phHst9w/Q2HddBq4seRGUTghMt/ALlb73pO5Dc87+OKPyDL6GBhYcI3 rN+PdMFN8Nyg3KgqF8c5J39tAkOdjcju/m/E8+rNFuhXu8G27UQn5jenepAa NtedtaKT6sTPd+YKNSxToc/7T74T81fRekUNXyu91+cwwPkvUTw00EJuJPzE /U4sr5y+4DY4LWXAYtyM62vrLXbAnnwBi8tdOKYNz9wBG06vZFuMENjszw74 QTxE58YvvH/Q8kta6Hjyc6gPTxde7zywE/4SBHsybnRheYs+xtFDOKpQ9/Qu zk++p94N/ePVHl5/hGP/ndd3Q3ZW/UWBaBwLskszQElq+9aY6i78PIbn/oN3 +6JCAvZ3Y/zqaCsTJEe+UrUW7MbyZzUxMkM63aR/iqe6sX4mL7SYYXT9R6d/ Kt3YvAINbcywOK/2gpsLrm/jGWaBmyE/91h+7sbym+4/wQaVzv+uk/+K+ycb eLDBIFoqrwNDuF70VQMb5Lm/e6n3J87TujqwQ2h3sE2HrwfDkQGkffChknYo cqcH0yfkRXHB+n8Gajw+PViejcoNLshUconqTxCh5zXdDxNO2Tjnv8H5XZ2H uCGZ94H2iRa8nq+8lgfSbHxg2n+4F9Pna6Xwwf3NCj+Qk72YPuzqMB+USOz5 ZimN81qHOfmh1bmdsZmaOJ/YFsQP66MtDiu49WLzv13yPAhDZDhlbOt6sX1u 0/M5BFMYs7iD23Esnlp7CJJHVf596sP9art2H4YrT12rNxd7sf0kNUYdhoZ9 rVqhHH2YvkSbJAi5Pf2vFdj2YfpgOfFj8LQ2j0r/rT5c7+B/DGodyj1K/aAP y0P9uvcYfNg0Mq/+vA+bj+OgvxAc5QZ3B4txv+9/Zo7DVNKPoB0M/Rh/9PuU CKwMe+okxI7jBBrNk7DXil/3Ah+O6w1zTkIGxgv7oiX6sf7PR+RFobNZWqLw ZZwPZeA6BSX/Xc3Xy8R5f97vYlBDk+yjXNiP7UNK6Yg4vBZ74IJUJc778FuK w1CpwSmuTrw+nX5YHM44XeIc/Yvzbt+GJWDcsIGns+YANp+vGp0U/CSSp2Zh NIDxs8vaUrDek5VN3xzHjndipOAvji8ZUrdx/fWDomeglo720FbcAOavD62l IXWlusKzuQFsP8vL/85CDqY0xoereL3hWyNZKGK2q8+ZahDTX7+cJQsv/q67 pc86iL+f1iwBzBVTfrdfdhDzn+bug9D6LUKXFjiIzfeQ6p8c9Fx+9TX2Ba4/ OSQuD8ORrYRnr3G/OFNbeUjuK5W+mYNj37Od8pCTVcb+TB/uR08qUIBNvhIt tUJDGD7kG6sEZfY00oSdHsL066nDSjAl2lzqktwQdn72WYLK8FFmcMKiAYHt 8pShTPe0C4c3ro8ZHVCBKcfj99l14fio/+VzkD1fXENidAjL95rj0znoK9fg tTU3hM3fUbpTHWal/XE9Rz2M6aNU89VhYPnRwQH2Ycz/bz2fBlSY8cmiVcCx YobIBegu0tJgrzqM1bvuirwAs25xTrRp4Jg9Z+sC5N36yBlrNIzNI/nPVhtu sAz4nLwxjO2rzE1VB2bJShkYRw1jeY7RHdaDU94+TqR4vP+qoKUe5K1rfnLw LY5TmJL0YJCOZdlcBu4/oiWoD69bhx3xrsLr28skDOCB0O8bqQu4PrvBwwiW mT9M/fQD16+9rzKCZuJ7TUrWcf60KYMxjOuUKWyiGcHqjfUSjCEHz1O3RfYR LG9lVYcJZEk7+kMCGcH0e6gtTWG2R+kboITjwMfFplBbU1tX5dwItg8lJpbL MGTpTraRHu7nI1F9GTJI1Tnds8FxLM/pK3BHtdVceQhW73X5gKA5THqxEVsf MYLmm0w7ddEcKtk8O98ePYJgf70YCjaHPvR5aaNvMSw+zPLbHG5pb7fdUYjj aqZuC7g+8GZCfRjz59xkzbWELz9KvtCbwPPfJK1YQknvBiXTWQxr3OQTs4K3 D628vfET54N5c6zgip28RSjdKFbvL11mDb+vDQ1+E8Vw9PWl39dhvk1Ipbrk KLa/jSwNW+jVBZPLz45i+YH7a1vIXhB/I1VlFPM/KKJmBxXcLm16muL854Bk exjzs5PzUABeP8If4witLP3/Rj0j/LdtOULRr6dH/gvH9FQbgtecYG1ORMpa PK6XfMPhDJdddKUac0bReW9lJC84Q7XlZn2XIYyfvHa61AXuNb9/Zmocw8l3 zmy4wME2YW7TWSxPkxyV1C3omhU4pvxrFDufqancW/C10zkXzt1jmP+CWbEr XJ2vDiFLjqF5TLIUF9xgxWXXW6dlMRwt3HLmDgxqFjBKk8dwz95zvnfgwQwf 3giNMdQ/6BI3712o6SCXYWOBYQbL0MvuMGm2pIExeAydR879GaMndHx5QcAu HO935peNJ5RSGvOoicJ4KuW7lZ6wIZ7+hOfbMTRfzo3Be/fhsrZJyEwhrvcN 3XgAYcGqXvXYGHYfRhY5vCGd5dP0AzN4vxKzC96wg4l3h8cCxoer3PP3hlZ2 yvmnNjB/Lx7yqjcM4ongeM04ju1jqnrIB/Y8OjXgLj2O8mTh0m++8I1ozelv cBztr/eDjsMPOgwYB4sqYXyC/dFLfpBKyguZ0sLr6WbH/KDgbEuiviWm30tf /c8fumo7WJ8MwXiNjzrXnkD491/Z0wgcc3DlPoE708L3TUaPY/sjj+14CmO2 ldTHJWE4uu5x+lNYkb/rOH0xnmfViTYIMvK8Xxwfx+rnlloXg6Gc4aOBsRmM Hz4Tdz4EuoRcaRxdwLDXB/eUENhJzfF+eH0cez94FouFwleTAWb9DBOov/SI 5WooFMmya/4iMYH6bd7eiH4Or86olHRIYzzn+dPtz+HzgwKp7RDjTWfZdoXD 1Yg+31a1Cez8LjXfC4dl7hqyjaaY3pZb0zoCaiqKfKj0nUDPx+2z1ZVI+MCT PrriCVavsW0yMRJm5U36k4Px+rMnJiIh69HXFmVRGC8swOX4EvYzMHEVp09g +x7NfhIFHTqXA7K/Yvph0b2zMfDVnha3rB4ML62elImFbWpplh8HsfpSBATG QokSC7mMaay//5CEaBzcfP1lLWUTw8m7vvvFwyDbPOuEQ5No3orR8FMJcFYu I2C30CTq13ZvwyoBqnK8S3M7ifHUlvSxCZCmLmJBQwbjnXmldiZC90OubhsX JjG/V5tTidB6SMxf1wPj18sNmt/C6nyhFJLXJDZv+7P/kuDB4IMNR/0xfTA5 SisJDsiyMP4LxfT12mJfkqB+zPKLD8lYv7Ctqsl3UN4g6932DkyvskklkwJf CafUOXVhfLRnfUAK3NyWMNPbj/nn9od3p8DCTyEnsqcm0X2d31L0SIUiTE55 l/9i/t1FDs1pkLvxRE3+0SlUb3mcPyUD3ntzeIpfZAr1+6w1QJcJu9x5dj0T n8LqBXrtMuHzo/9pXoMYL72aLPYR7vKf+7pHfwq9P3v2bbfNgqtyH8avP5xC 89Gw/z72CZYmfY+944vpTzG4mH+CPnTCev5PMPzEPTL6E2RsS694G45hcHF+ dw4UvJL5avA9hvmFmDdyoOH9bGP9NsxPCJFey4PcI8t7rn3DsGP7U5l8OKok VnezF8OMnzMf5ENHhpzTIePYPP0P7+4qgP6xuSwN6xj/iufKsUKYV1TQhPBP Y+8/qvWIYniPZ/2RluA0uo+kcPJkMZTzPnP28vFp7HwEnkqXwCa1otR7p6fR esGzJ0ZL4HhXsX/eOUw/3sIkR4KsqyS54y4Yfv70IwcZ9ppsrUnfwfT5qXbq ZJhAgh/VPKfR/fz6XulJhsJ+5TzW/pj/mz7dMTJUYq34nRCD6eHSscIK6CpW ncteNY3Ob3AlyqcKWkvwJYTVY5j6tmx1FTSW9AxkaMHwlcxK2mp4VkbCgqYH q+fl9QmuhjQKSXsWFrA86neOpNbAEB1fuxquGVTvTUPHWA+99IYN5PhmsOe5 /NUr9dDFQFa+5DCGD9zpyK6HhiY/92WLzqD5tgJZL36G3OaWNXEqGB4d8ips gGnOSnyuLjNoP3r9wqxmGOeSsHvxDsb77k9ha4HPXDdXbe9jfj2Dax4t0Plu bvOVgBnsecPbqNEKpbwOeZx/NYPuw9Zl6mEbrA7Z3nmwAcO5UVtGHTA/7GpF fCum73H9FNkBU8JL0zm+Yf0WTyt0dsDAl66PGIexfmaN1MZfoO7rcdHfvzD9 /gcXrb/CoczqwHb+WZQ/Wm+R3Qnb5rfPiR2ZRefXZ/zxtxOShZU1IoRn0XwK Z4POd8GEtBoGI6lZtF7159RMF7RIrn3Wr4Hh27aZ4j1wMr4+ZOoOpmfjXNrq g539dEtq92fRPM7vRy/3w7r957TTfLB+zH94y/rR75efmW48w+oHjj72GYB2 LxrCVt5g9VXPo/YPwfmgpvC/zbPovPH+/udG4GAjw0+zL2i9xso/J98R2EKv qU/uxvz7/AXJIzAzoJn10RimF/i9Q2YUOvu2vKDbwPSk40NSY/CnR9vLvYe+ o/4ftiWYTcDxYqZ112Pf0TzhiuXvJ+C3DW3jThGUz3Gb6l+egPl32jmipTHc ycL/ZBLevdURzXvhO9qv8MLJ6in4x+5r7LF7GH/7YbTTLNSXvBwm8vA7uj+h KtHqWZhOPekv7ovpQ8R6OL9Ds6i1myAY4+/N2NV/hxU1XGo6b1DMGTa0JDYP H/OZ/7zbgOKe2VRNviU4/H1m5n4rmi+IW+aH3hI8U+Ay5PP1OyL+I3QKBCzB WU3fhqBBFIsXqjSsLEFNj/cJCSuoXsMj6lfrMtzbOa9RzzWH3cckg/Qf0CHR TaH5wBwSY0KrK/P9B6x2+CfVcWgOoSIzqI8L/YRu25gF+kVQvUazT2j6T9gj KrGxqIDxNSp+Rb/g68B77/bZzyESe5uVSv+swXXDbbHczqg+KKnrh+o61D4Y FMp/ew6xURGNZXmxDmmK4j2OP0TrvbzpGcU2oNUkWQcJR+v1PDgk7/yGx+V3 blmXYPxK6w7Rv+jvgQ9Husmon0Nwp0X4XyjBqq1zrhblE8aHf6z9hbJTUUnH 29H6cAHO4uotqPVM6PzSJNqvs+qpnyQV4tKjGeXOMo9QMWVe2vaXGim6GSEW ZDuP2LB700duo0Vg3xnTv47ziMQjIVmRc7RIpdKAn6Mryvt7TxuF0CIN+wR7 tB/OI82eESr6PDuRflLBQ7YX80iMrWtdGEKHUNH3Nb0io7ho10XWaHpE9Q2/ Tfa+BaSZ4cUxxet7EIkoRsFabhQ3sWexZ+5B+IL/jPfyLyAxx45Cwx97kN/u 3yy2Cy8gVNNlLNOACcnQeWJmJIfquddHZCuYkBhVNx4H5QXExs38V9kwE+IP rvV7qaO8gxRD4j8m5OoxcDFNH/UzD9m8cJYZ2Uu9bPD3Ouq3/nmInMKMUK0N sLI4ovXJ/r8yK5iRubmGL4K3UD1/R5h3DzPSM1rw/OxdlN8a4xBcYkZqu5N0 tO+j/tudjj7ZwYLktIQxWfksoPfp0fNIThYkofpBq/tjlC99bywtzIIEFdsH Bwehfiay7y8BFsQ9y1jzbRjqt3CqfVKDBbFOVmYojETr9U5pVF1kQXTjxBqb YtF6faWMbmsWBHl+4OlIAor79yf/d5MFEQ5gOLf6Dq1XYdqm5s6CcD7Y2Ln7 A+pftJnq8JAFoXWdrD2QheojOGOuPGJBVmy/+EnkYX7U89v8WJChK2Slc8Vo vz6GnrO+LEiTQcY2s3K0XhrkTXuxIIXnYypdqrH9zm/N3mNB3sk/9n78GcWu geYHXViQ51KucnEtKLZMI99A8z08Yf4v6wu2zxylD0YsiIOAVllNN+ofm2BX qMyCGHOevd87gM3Lus9FlAVR3nNUdnEUO++LGbn7WBCxHWx/tk2j/Zc/Cpn+ YUZ4/1AXc8yjfmR3FaU+ZmT38sLdEyso7/7zpVoBM7I+2SelsIbyXvSVSiHM yER//arhJurPyJDMeo0Z6ejIy7OnXkRseNleRYgxI2X1b1y9aBcR8d3/yhP/ MiEfykLEX+xG+eC2Y1zVTEhUrudKKhPKj2UbD/gxIb5pttllbJj+fmCTAhNy M8HQ+QvXItJsetIy8tcexCxS8eT0gUX0PJO+Pbi0BzkfJLqweWgRzXOS93AB I3LGhyeDWQjVzwUlXqNjRJgd14TOSqB6d5oS+UAGZOva+MwF6UVEogq8+1y6 G5k1aU+xhGiefJU/pDF6pFr5g2CwGqrfIHtdZdmF3OG5cnDEFPWXy9ut8Xs7 YqEtathvjupX783JjW9DtB5RP+2yRvEkCwOso0EEZ94uNzuj/YN6trN7UiFf c6fJxb4o5k7X6ApYg+Spop95T1D/Y1yPSk/9gh+4Ao9mB6PzCpwQ1xxfgT5e J0LfR6F89Pl1vuU56JizVfUmHsN3uAbrpqHJZOta/BvUr2mG5UL3OFTiTDwe /R7tr1KT4y08AkU1XK5EpGN5b15Wi+uD3A8Vw0OyUd6aTVg86Bvc+Ym17mk+ 6sdZ+nNBqg2ujE/89itB95FzILXAoA4O7isQ8SZj/e75raaXwwb1AAvPGgwr m3qM5cC8+yaRdxow7LTqYJYME7KEGlxa0XrxxvppyRcwaOzP3xtfF7Hvy5+9 g+/Du+zNp2x7FrHfZ/9qQnXhtXOvrCwHsfxNR0VamaGWp1P0lTFML/fAh9ME ynyUa744jfntDRqXsYeCo8zUhvM438YPnSEz25iEzgo2j8ry6X22cFM197rG Gu6XY6xsCBGJzse1v7F80WZqwzLwf5tA9Vw= "]], LineBox[CompressedData[" 1:eJw9V3c8lv/7JZmJzCLJDlFCSrzfDxmZZRVZISTZo1D2lpSRlUKUkhmV8MgI ySYqoT6Skcre63ev7++fep3XOdc557ru+3nAb+NqYLeDgoLiBfIP+v9/v9ir M3bMkK7Y21to/DgFtQV/HeemmyGlp3FNXlRwgbXV7Z0pDDMkCgorCR1XVyh3 4fVVjt2o/mm3ip0tLJh+RJXIjOlZ2ZxVoUB05MM9rChOk98xzQ9TBdxOxLGj WH5maq8TZKo26d61F/XTk6NOjYFh55WvRXPNkNrbolgS2zLh6j8xalqeGZKs TPMBZrci6BLFmhnGi85TlXZ4v4Wj/Osnd/CjeK4x1KUBmlb97AkURPE/pkc1 rbDLqM1pUxjx0wm9bNnTA9X/ldPcFEX5IBnHyC+wOvJh1oo40n+s0mBrZhhK 80ecui6J4AgZZbA9AvMqXT7NH0XzCzOSO8Ygj5Gxi7s00ldJ9EHW4G+Y8JdE Ny2L+Mnf+QsPTsMAPhbF3/II/2P8L2n3Alx4u9p3RRHBbmcDea2WoKPhiOsv iPhRpRiGVa7A8xFlOT9UEL5r39T565tQ4s/5XZ91kb5O9lzmJlSkCiOddzF6 CG8leDA0eidJhXzaExoiPE9//2QpNck07ui3JyYIHiTf5/1FSxpbEr570Qzx z7kn/vQfHcnjEo/KbktkHzlu9y9/6EnRUvQvvC4j+o0wDq6mXST2tG1LUXtE z3ZSsS+LkZRFucQ66IDorytfinfdTZJw/NN09xqCaRSDL0gzkSp6RvxUXNB+ LQuKk0wkVYWvR5bd0P2P8jomMZM6czpH8j0RnnHkBC33HtKYV7UWq+8MSeb2 q6C+Z3tIHkMvtxpvon2TuTgn9pA21Z6/9A1A3x/KES4BFlJUUaa9ZDD6/H+z 0huzkNj3JnP/F4rwFyou7o5kIWUFxnYkRSB+Zced9F+ykCQmQkI0olGcl0/x lYVUoecrt3Eb1Qd3qK+zkFTeuv4ujkPuF2WRe46LldTBb//ocjzin7ujS12G lWQaY26wNwnRP9JNM9ZkJY3NGdC0JiP6Gcq6AjNWkoeZZmVAGrLfZIK5myMr aauB5CKdgWKWilZvVlK0hJzA2CNkHoaDcX9WEvt9if60bASrb1r9DmElZW0K xOjmIv2qOu+th7GSJOy5IGUegn96iCkh+E0H81z5c6TP+wCnwSBW0ukTNE8d ChD/VUe/eT+kb+bGRZ5iBNc9O5vngfSlm9/dVYrgq03kfQ5IX7fJutByZN5I z/sK2vfrd+8Tb5D+ekc3S3VYSZvK/WJTbxGeXbOSQ5GVFJXfNvSoGsFeUnNF YkhftoZ4g3cIDqvoTOVA+o0Wr759j+K8usYJ5J46Twudm5G+h5O/yHch93yV Yc3/Ee17Mc/qNQvJNCK6JaoT4XtZvQ4EspDG/gX6K/YgeD/Lg0FrFpK78fVj M58QvGtgIEsFeb6il9OMB9D7DykE72Qhvf6oeFXkF3rPYSc3/z0kNuYZuvdr 6PuXv0+rhInUQ46J1NxEP68lw55XmUgJTsI0ndsIvuhkayjARGL9aEo1sHMW eV61CQ6Ju0ms4Y2b00yzJNky+zF5L0bSnvX0uf2Cs4je6CSHPAOp6/lx92xh RC9FJ5w+R0+6Z9I1LSI6S7rydOcrhwJ6EvNr6r/HJBE9l5rLCh89icndbfzM CUQfNKXuwERHYhxXG/TURvwN59R7NqlJbfd/mK7qInrfJJ1RMjUpVvXm1wA9 hP9p4XwjgJq063FJf/R5ZL5kzf8QJTWJwWJ/d+YlRJ828LeXcSeJrnemsdUT wZoKx/fDHaQPwbdV9a8jfeSerVbS7CBFSYk09PsgvBiD3ngnJYk2zqz2P3+E 778q/+syJYlGs6lyOXKWJCNYyeiaQEHa+e5BsWDGLKk9luPoC9YtOKCoqvH9 EXqPQr+LhZuwuPLPj/RstH8ZBUlzE5q+BqyseQiW2XU4L2wDlhZ+96J4ifRV euVaQL8OLTMETw01I3zvlJad1gqU5W7rSf2I3tNe1XF5GdKnel0zakf6iMhV BzxZhuWJjRmtPei9qpVbdy7DXbevbL8dQv2L/z3pXIQVvi/eJ8+j++8tXUuc h3HLhhYGS+j8l9kivXl42XtjcfcqMl87vqXONA+Z3HUPhW+hfWq69sbOQTuH 6WhP+jnk+5rVcS5+FrIay5zTOziHfF+8GU6KmoYTn76N7xKYQ/ZNLaXlmYZk g7CgZqE55OcLV+lMyT/ocLavFIqjvCeJ9ftfWKN2g13yODKvM3iBRecPvCZb 9ZVeG9EH1Ruw2U3C2q6+ggpddN6cy4J5EnI4zwRe0UP1vyJaKyfguyfCIo3n kT72rsK0HBOQbe89jyAr1D/EO75/DFat2u5a9kb7tmT3xYzCPcmBw098UL5e uUJtFNpJp5ca3ZxD7nE7OZJyFDJf6zR+GYT6tbR+v/kTXh6Uz3W+je53Oprv 5gjc9Y4JjGahfVgmDLN/QCszsT2JOSgvlJFx9Qd8tazyU/kpOh+6K1f6B7wk 5Rud+QL113rdcuc7LMv+2Wf6GsmX8crumh6CZmEVLt2tKF+x2DA/AEv4epWD OlAsnT+eNgCpyX/Zj3ajeXSiUHkAFi8KVMX2o/MiUx6JXyHVlTu0Gv+hfFZi jNoX+ELTJqtmCe3jRLl3qA/KSvBD0iqqv+p8La0P1jD9+PZuHfVfikm+0Ae7 ei321lHMIziJyr73E1ywuBjXwDCP9B+fzezvhdBD79YH3nmSjEzeHW3KHths xMytyY/iA06fW7qh3omONy2CKFa5wprYDW02tOc/is4j+f3fYw91w8iIM47t 0qgfY7axSRfsSocmPerz6O8T9nNF7fCi/+aigeY80r92ZMWwHY5cqk7s1Ub7 5Bw+sNYGF4ROdX7SQ/XnP5RotkGu4uPqn01R7H/y8eJHaNMgITvogs5PCDT4 f4BTT6a6zd3RvBB+ZpkP0Csq33XIE9WXRatONsNIXdEXwz6oP+XvSybNsOCz oMB/ISieV6VXboKLU9x7xpJRvCncLP8eJj0cb85IQ7Fy6YnlBihzrjzQMAPD V6JeNUD3l7rTtdnovlagRrYB/vUJ6nhQgOZLaImBeviLeixWvx7lcyliPWth 2JuXqnSNKBYfew5qoeDVwI2aZhRLHL1FVwut2/Y5SbSj/tQhDkrv4FCCtjbt F5TPErEuJsO+g6X05L/ovjPLrS2V0Kvbv85zBsU7OT08KiFbqJav+Dy6r8qf UzyVUH/s50TKCooPqQt7voXtBZwfPKgW0L4a85IVsFH+VoQo1wLS91GS4adX 0HZKA37fj2LpLtc7ryDVQ46l+7yo3jb3+plXUJmi2I5KaAHp97bwRE05JDf9 pzp8ZAHx//ZO+nUZfGV4hipJFZ1n8I5pL4VR2hXhPGdQ7KFRm1IKzVXE6J5o LiB9GT0f2JTCHTK7dr8+u4C8P6QS+bUSeJa1k/OLCaofsxuWKoETXRfEeZxR vZ6OqlchrPrQXJDriuZH08TtL4RxtSePSnpgffjGGwqgbAm3LLyB6p+dqNxb AIPvDgOrYNSPNza6NR9yn7XXz72P8ib0+62fwb9qn3slUlEcVDGy9xmsBRoX XqWj+45eiu7Mg/aS4mZNmSiubnRQzoNljP9sJ56jeZp7RY4+hTqt3j4SNei8 Et8VqVx4sGFsrbwWzXvKMDWfA+cqjf1BA3ofBQuRihyYli8fcvYD6vfeuvJ0 DhyL3rzt1oPqzwbvt3oMAzXCM8vH0Hvk9C28zYI9lg7mUpNoXunNf1FZUMhb m6tgCp1XPOtrkgU/ZrMk5syg/EXNG3OZkH39YUTCGorph6NCHsFnha+d3ZgW 0f1iqD49gGsNaeJ/9qCYoiYl5AHUHbg1foVtEfEbPMYj/QDO0ahYX9q3iMyv PvidmA4VrTqNzgqg+tonejZpsIt1QkFCbhHZp2Fr8VAKFBBrXck7iemFz44m Q29S0StBBVT/Q9M5OxlyO3kd3a+E6j1Vlg8kQ9tGCkEGLSz/2drB+3DlBhfD hMUisv/18gG1RKgVt9F02QrF9vXpuxPhw9zvod9tUP+Wxu2+BHi6+8lm/xUU c9GUOiTAWHHp2UZ3tL+5+K378ZB/SOtLTjiKC3YK77oHY+oVis9HoX4ibK0l d+FcnkQE7W103ndvnM5dWO/BJHvtHtqPbb4lMg7a0vXclX6AYsMdLxjvwGcy F8/UlaB9s/jbdGLgHi4tXs8yDD/OWY2GvlunFoVeo3ltuiF50VCrhScnqgrl rag0aKLhlOWPrXNN2D08HnRGwiMxV14Pf0P95z++iQuHya4md+4No33S3tzR CofbRpq2p//D8OQp2nDYdfAw69MxtL+6657QMOj+6p+z8yw6L7P3UlgoLP/h LbxBs4Tqr1u+CIY8TfYbhfQoXrX39QyG4S+Mey8xLiH9/iSoKgbDC9flgxtY lpD3a/7XSGcQXN61ORjDs4T6rdNuBcJTJ8KSuKSX0PelT3DpFuy34ZJ7KLuE 3s/9TtYt6BlX9JnvBKovezSnfQsW/PrCLaqI4nmu3Cc3IW+SZLacOpr/1dbI 1g/umO0vNDTF5hljGX3gIx6nc5/NMVxg23gDKmhQzppeQvvFqjAF3oBemYdl bWwxvu3jwnU4phtU6eaC5aXlTXrD1nyx5jshKG/ftLrkCR36axxYwrH+AV1V nnDnDiOG+5HYPX4aBXtCeDFANyMW26fWkskTltD29uYnozyXg5KUB0yyvfWj OR+9R9mr9Hg3KHWPJUS7ENUruV61coPtVU8FO4uxfe58OOoGadi67fvLUZ6i 2ybLFfrUCf8drcH6VFIcdYHmvJ2rlL0Yz+Tpfw0ycXm8qupD92vz7BS6BuvY ONy9v2D7DKq1O0IRerOJiSGs/1sPfkc4PT/W3zmB4SfO/Q4wpGWr7OEWtk8u i5s9lH2f7WpMuYz46QiEHLKH4zWqh1l2LqP5OV+/20Gd8pjHYfTL6H6G0oZ2 kCOTM/4a+zKa56ioagufeR1xkRdfRvdVtta1gaau3WLzEtg87RaLDdzt6PWr 4Ogy2p/P5LM19LhUac53HMsbOGVrDRW01LVplVDc1uEXYQU7DlqK9p3H9AIb fRYwiJtyNM4EzU973eZlAWU4cjM1zDD/6F52C5jK8Juz2grj67xMzKHNojd1 zjUMz2T8NYWLH++MuAWjfWX+2OuYwMFdfQ4boRimE95hAut1eKYjI7A8iboK Y3ivI3/90W1s/nuUqDEU72lmb7+P9UvZw3oBWn6lPCOWj+EPkwxGUJVbs728 APNTvdxuCA+b3TNUKsb6rSTdM4Qrg7xWxuUYHt3HZQgTfij4htdgeZcdpA1g 07j3i/960PvJrDiE6cECUfIx5z5Mz+OtrwcTr+6sWPmM6c9wH9SDVlMJ75mH sH4p+j7n4Nq/4iEwjul/aK/pwqNLk8zp61i/I5bS2pDzxLFk4S2Mr6Qe1oIb N3x4SilW0L6GL2K04MdVGrEP1Cuov/2vMU1ouyl4eokZw+Lv8zVg6k5LLwMh TJ/dZKEOty7vPd4tguGDllzq0Laha/GcGIYTa/vUoFSIyg3dIxjuG9RTgx+2 Rf00Tq6g+UkyeqpweW0+EOpg/is+7qehuWmhEvnsCrqP95uTp2H9W3tKRX1M r5FJcRrG+XwNkb+A6UusE5ShyFJNuKwVhlMDyErwwmz0bXEvDOcyW0NYraei 8/w6hu8t7oBQoGSDUdQX6xO58ATAfy6uccIBGM8nPa0Iw/8YxfNFYVjCME4B lo8fTOHMwPpwxG6chNxnvhrff4TPpxedhEFPE/axZ2N4PcH6JNSxo05neYrh dyc+noCjI78zGEswP3Pap3KQbfjV4x3vMb8Dd8NlYRyjv/+bJmy/5GySLGRQ UDVxasEwa9qaDNyR2rO7vwPze3HYUwbO6U/7PP+6gr4fKfEu0rCrUfSc3vQK +nx/MMdKQZ2FaTHqOQwbHTWUgh8E3uysXMAwI8N+KfguUK1ScA3Lt+66eBQW ydsIL+9cRft9YHkpCWMLH6w/5F5F86jGs8Uh3aBNv8GBVbTP2SA1cRjGIF5K y4dhTp3fYvDmlQp7d+FV1D/D6YQYdOTv61aVwvy67L4fghr3mZ5NqWF+VdyX heH7hr6QLA0Mm4ntE4ZKcxkW57Wx+Z3SHULwxLnDbO/0VtF+xw4BIeT7SyMg wQzDwWoigpDaP9hI3n0V3Z+tRYAfls/+WX3nieWdPPibD9ram2SqX8f0bw+9 5IPvzx39bXgTw/pnVPlgmMBQoEs41l+E7j9euPPDyRc5aVj+RlzHfliumKsn noHzue77oW0p81LJI2z+6zDHfvg+fUypJgfj+6usuWGoc1L/l0JsH88XNFxw B9sMJVM91mcmKYQTvow0y0t6j+nlQuU4kb9fmnT2N2P49ZUpDlj/62GKaBs2 r7JlzAFDKrQlVfqxeTc2RXZIaZln4vMb6xcbJskKS3pYt7b+4Pc2n2aBVmcC csKnsX4t26UssFbq/L+EBcy/KUmeBQZRUYUVbmH4Qo3+Hkjx3LJ4hHUNnZeQ 1NgNm/58dsnkWEP5CNsBRhgrpX/EfN8a6ufL68II91aoFPYdwPRODOm74JFm 0RcfRNfQfj8kqRig+a+5p0VwDfu8p3HSIr+vOdlfU8b0Op01NHDC6ZewqCqm D5J3oIGeC59zszUxzJdfQw1jqMiPk4xw/1jfnfAtf+QjP0cMxy4J7oABdhSW J5wxfe3UECVUfe57YMEV7zuUSgm7pJwynL3xvCIWSjhB0k+3CsL1CUwUkNNy f7J6MrZPWqXdBhjMTjpPlYbxFEZL6+Dxr90ctQ9wPihqHUg6UyTJZ2P+9rGl a0D11q94iQJsv/khjlXgkV58h7Ue03+tE1gCbzbSI+vfY/ltO9sWwYZlRLBH M+av5Hd9EUQKWnj3tGF6LuHOBZBRwGCR8Bnzk/GPmweNNXYSrH+xvDG107OA gV9fpH4a11/dnAF6oYp8HnN437i3M2DgDBt7z/Ia+v7PN8rOgH9dtevxO9ZR vzLo/A/s+7m/lWXfOrbPeMtvYKFG21jHjfO/zX+Dx3lzNe4HMJ6rcHYSSDi1 vOwWWMfuN3ZwEigvXk+Pl8T1lnHjIMLYJklZCufzJcdB21vduFnpdex5enSM gQsBQiH6J9ex/pTsY8CRtucqiwo2LzNePAqKr5Iv16nhfgdMR8FC6zMLdw2c D6AeBYH3AvW7dfE+16x+giQuSfl4E8zPPldoBJAPR9GxuGB5FPubvwO5T3vb E9zw/W5rfgclt/Li2T1xvN4+DB63N3Hv88H1pG9DIMqVWvJgCI5/MQwCg7IQ fclkHPu+/gJazVg5i1Nx/N7gC1Dd+XhA6gG2b1vGzGdw4nzdZdks3P/v0c+A Z3nbWyEf10e86wPjp/zTNWtwnudAL7D6yXiptRafj+joAQO3MwR1G3A+N6gH tA1WFeh9wPHwRDd4GbBWY9yD6y83doHDh2JCv35aR5+vTEpgF8jt5NIw+4zf 4+2pLpDCJ99tOYjPO1/tBLfqb/y0G8P78F5uB4uOtM/GJ/D7Ph9vAy5sKU5X p3DeybkNWNu+XnSawbGDfytQp1mk9VrD9a3lLYBFy0MihGkDyzvt2QSy6ph3 nWLZwPK06ZuAlHzh5CzbBqafz24EZ0UnnlpzbWB+Ol/egxgaS35loQ1sn37j BsAVsL69IoL7/VurB88WU4dLxHB9clY9aB7tfcB3FPcfn64DOxs0OSlO4fPD WbUg8dT4whvFDewezedqgcDLsF5XEs5zUtYCpex3976r4v7SXTXAP/D4rnfn cD+W6GqwpMBPEWCHY2vHChBeVjN83AHP55t+A9gPm5P/OuLzTTfeABnuFD8L N9yfMe41cFthXFS8ifMx/eVg2zW/d8Ef9xN2KQdx42deFgTh+lqaclDQH+LK E4HrOUEZmCxfmVy/h/MaNaXARyL5Q1kivk+mTSmgy5XJu5aM+92nKQUiiS62 3x7g+liTEmDjPjpc+RTvW3KgCAxKdvX6VuN8mN9zkDnF4k/1Dn8eoZTPgc1z Q5E7dXj+UtgzMCn02SerCed3xeaBpf3DB5q78Hmh+ieg8uvBZr1enF83egL8 U6zdBvrwPKXJXLCT7Vf93wGCZ8sFLAx/rrD/wueTwh6DT82SLI/GcVwu9hik hrtWHvqN56s3ZgNeynlGhWmcV2XMBhIrq6XWqzhv75AJ1MdoN4p2b2L+Oanp gD5X88nJPTj2XEoDbda3z9azbmLzip5p4N7B9mVtjk2sn9tIKjAcYsru24vr qXRTAecDPa1L3Dgv9TkFDJgkzE/w4FjJKgVYfeJQ3+DH/Qock4FQgvF0uBA+ z7Z0H4yfS0tlPrSJ9/O6D1xaeaYEJDax53MxOQncrBe8pymH8+pDCQAG2cn3 nsT9Ni4lgB0wb8RcAden0SWAqLfix92UiDyZeJBccmwgWYvIs7oLLrp4hvLp 4nj+YxzgkXglkX8O928SiQM5eScDyUZ4f6uvsaDkEUlo1BLHWUdiwLzfPK21 NY6DHkUDOeO8qaHLRN/VKFDFzFz22QHH8uORoCloWLnVA+8TOxgO6CwShDW8 8TwRy3CgLa9O33iD8J8OA12zhV01t/B5ruFQwNZhXa4QiPft1QgFF/I5UiuC cd53PQSkRrTcPB62ib3fbHdCwDcb/0svI4h9VoMBL+mYytFonDesCgZW+3+J FNwmeI1gkLOcyiAWt0l8PoPAWK/Ovyf3iL76wUC0hKJHIJG4x9kgcC22/FXm fWL/xEBQ5OCQxpNKYBAAZlR5/NPSiftKBwAZ/i4rzofEvu23wPXNUNXETNxf p/gWWH81tetOLvH8D90EMCFzmj6PyF/zA0Euhr0Rz3E/GXs/0KBF+4aqAMdl 6b6A5lBVelARnl8r5gM0qVwDNktwTMHgA2K/C9j4leH+Y343QEdVv9ryK/x+ X9evA5bUGDGvCjyvTfM64KE3rbhSj+ufnvUCl37tzhh9T+THe4LHdXWB1s24 /w97TzD60PvycAvxftZ7gEN+YmfM2ojnyekBHC8MiX/pIJ7nuDsokI5nOt9N 7KvhDqaZ1Oa6e/HnU/beDUhPrfSd7Sf2+ecKvJsL3rZ+Ie7B5QoqcqweanzD MaOcK1gLZA9uHCL2iXYGwPyD7ekfRN/bzkCjPWX++G/iXmRHEPNc+/PLP8T7 qngVtIdvVx6dJj7/eg5gj03Zo4JZwk/bARjAKyFiC8Q9DjmA+9z77Z8uEZ/v kCvgy1KHpuAq4b9oC7h7QySz1onnn2AHLIrlWA5sEfoZW/DadIWpi2IL3y/X DjDRVDKGUm3h/nk24ErpTQY5GhyLfLQFteaAbpJuC7uPTL4N2Ee3TZ2xawt/ f2psgHtZLdU5JgKnWYOPliGUO1i28P7PrYAAg+p2ORvuZ59tDfxeUW9e4cT9 5qutQK9V8xo3F66/SGkFJBijV9r34/2UHK1A2ButpSDeLfyeEZZg0IZxQYYf 9xsbNAHHmTpmxwQJvtgMxL29O50mQvDuZmDMVv+vjhiRf84EwD1sU9uHCf28 CUip+jTx8giez/X7PJixTx6zO4bjNK7zQIPVZHSfLMHvMgFZZK6RVjmCdzwP Vh2+fQ+QJ/gHRsCA/eHQMUV8v7IUA5D/zvLbKCT0Py6CHdf4vqYoEzjdAJhx jvRrqRL3G9IH5XU5nzbViXsjmNHZrqdEk9DfOAts9x3quqxD7MOsB8gNE+2c 54g8SwPA6Zrf2qJP8JPngAu3U8stIwL76IGmRsnmo8aEP9QHB92n349cJDCb ANmHp7T+vjlxnw410NXsUatxiciPPQNEPWVr1q0J/roqCOZdqiqyJXhnHTDQ 8uat9RUCsykDaW/fN+yOBG7TADF8Cq+anYh5VxXws3XjpZ8r/rwp/uoCxRs1 JZIeBL8pC5IEgop+eBH9xSH4265ckHgDv1dbojJQ96XKV/cj/LUMwCOhxrzV WwR2UQfLnRFPCgKJeY/jQO+mRs6lEALXKYNnIgzZrOGEn/ppQNnT+qgxkuCj TgJT/zsZPjEEbyQFXoqeSz98h+D3KYBdn/akDt8l+N+ngW1gz/34BGIfVV1Q LZ6UqHqf0EsAwN5/Pn45heBDlIBz8N67+enEvrqyoEnia6zFQ8Kv4ADg/ZIe syeLmP9xHFwPNY9qeEzwUodB5xHeiOtPcL+govNk0YHvoWLPCP8uQRAUnh08 mE/cQ14C7L5Bq2VdSPgFqIB0B2fWseL/9RUFIqa9A44vCf89MqBMWz5nupzA oseAEsi85vWGmFc9SW47Qi27+pbgffjBRb5rG/7VBM8uDcZYut/veEfsp8IM PKhO3ImsI/imterthYzzjO+JfpOM5NixHbzxTcT7mKwM9n1xGONoIfqZHgNP WjqK0lsJPzsNIF0le+NgB8HX64GagnRSbheB86WB9iMKOrFeop8TLfnLXfuu wj4iT58d2Aa3pUp/IfrICYFZD2nrNwP/e1+kyAG2qWKKQ0SfSD7AcGFrtvY7 MQ+OgJQztpVqI4S/Dg1ZSP5jyMdRAvudAiXiUtrnxom+oRJkwJPM9mmS8O84 QP64e+ObyR/C76g8uLBtnTv0j+DjDMDPmWYnm1nCL0IBuI1IHh+fJ/YbkwMb vYmb15YI/YUTILpxtXFmheD/UwGcby7Fea8T8wf1yDnPGi+sbRJ6O1UglX74 YCDFNq7P0SZX344fp6LaJr6fNMia/svFUdTbxM+z46DfxcJnN9027hcjD2ys GpQSGAj9yFkwrS9Gv3c34ae0rHhL5W73A+Zt/H4+SmT644tpfKyEnl6cnCxi ZvOEncDxUmSBfXXi4nsJfycZUEx/aL6Ii8i/Jk9WXI+tkuEh+EPK5A9/5kIr eAmcqko+P2yiA/iJfGst8khnDXu94Dbxvq1Wu9YJDamLEPwnJbDxMuZJq+g2 8fuBHjkqd8ZZ7zDhV6VF5ki+INcnSWAXJfA4snrrohSBf6iAI74CzcPSRH9r CXKVY9Tdy8e3///7TcP8n/HECSJPgo/8SdeIz/kUcQ8FfmBNqpyYVST4D9Lg nxRf6XUS4ad7EfgJRPiuKxP9oQKZlv2PcpAq0ddbj5xEbcBAfYbQ/5UAfMtv eqI1cf1Y0AVQOHHgAZMO7l/72BpEPQy3Gj5LzL83I9sa/BUu0if2YTAiK9Ge n/I3InAsL+Cpri7RNcb7li0ZkFfchK4fMCX6qp4m9wrHKvw1J/LreMlFA/MU 5EvEfNJZcsxds6ZYGyJvjynZXrXhtrkdMR+0WX16VVxfwgG/V9k5Y8BblMC5 4bj9/98PqzZr31qdiXwnK/Bpr032AzfcX8dPD5S0tdhf8yTyJE3JscHHJBSu E324lICDXNosgy+B+QXIqlMUbwZuElhSBxzMcriVH0DgWTawZtSl7BeM95m3 MgL99CdptcKIPlFi4GVNZhtXJNF3pzGI86RNmIzG8xlNHYGjqKvx21jcT/71 NbLaUD9P9F18/umEGeBLgCMmCTjfcsUPNMV9XShLwue95IPA/wFn6zsr "]], LineBox[{{1.978245961995607, 2.683520072821466*^-13}, { 1.9787207152144783`, -5.088568455491327*^-13}, {1.9787373661730594`, 4.693689881207774*^-13}}], LineBox[{{1.9834719537993055`, -6.892902915112132*^-13}, { 1.98421213301298, -1.7115697747982495`*^-12}, {1.9848985602377929`, 9.669293143943492*^-13}, {1.9855849874626057`, 1.30225830119457*^-12}, { 1.9862714146874185`, -6.441736033480084*^-13}, {1.9869578419122313`, 1.0757783552861611`*^-13}, {1.9869578419122313`, 1.0757783552861611`*^-13}}], LineBox[{{1.9943344794172735`, -3.0161567687869707`*^-13}, { 1.9951949686099844`, -1.4910030154968725`*^-11}, { 1.995881395834797, -4.992010971260897*^-12}, {1.9965678230596091`, 1.5252585305880474`*^-11}}], LineBox[{{0.02002291036751643, 1.498232093943841*^-12}, { 0.021468866684071834`, 7.859879413985027*^-13}, { 0.022082261708864556`, -1.2088996470538406`*^-12}, { 0.02269565673365728, 1.1756123852180167`*^-12}, { 0.02269565673365728, 1.1756123852180167`*^-12}}], LineBox[{{1.9800128763771412`, 2.563560475010718*^-13}, { 1.9807799968889164`, -8.042594368262712*^-13}, { 1.9814664241137292`, -1.7491064152608261`*^-12}, { 1.982152851338542, -1.154104589673466*^-13}, {1.9821964435952237`, 1.048258702063265*^-12}}], LineBox[{{1.9921023879292483`, -4.2689990431554746`*^-12}, { 1.992449259710733, 1.797839377370991*^-11}, {1.9930589692131917`, 1.2498170554042788`*^-11}}], LineBox[{{1.9750799425434327`, -1.316888265101568*^-12}, { 1.9759750063152275`, -2.280980959668*^-13}, { 1.97666143354004, -2.4026891587425326`*^-13}, { 1.9769704517915252`, -1.152650197511207*^-12}}], LineBox[{{1.9972542502844224`, 1.466718690945612*^-11}, { 1.9972542502844224`, 1.466718690945612*^-11}}], LineBox[{{0.011041151262595545`, -4.1903230885154135`*^-12}, { 0.011041151262595545`, -4.1903230885154135`*^-12}}], LineBox[{{1.9898585528143742`, -2.466934989620029*^-12}, { 1.990389978036295, 7.696315806882126*^-12}, {1.9908268777251665`, 8.358011505116282*^-12}}], LineBox[{{0.004929362547335268, -4.385139473761513*^-12}, { 0.00613399106425376, -5.469519281930957*^-12}, { 0.006747386089046483, -6.42437908426885*^-12}, { 0.0070541304580072385`, 2.0657309196536745`*^-12}}], LineBox[{{0.0030108407854104445`, 7.57428286757289*^-12}, { 0.0036538523432536356`, 3.2084079837346736`*^-11}}], LineBox[{{0.00012281403876088337`, -4.240843357039559*^-10}, { 0.0015077563834993003`, 1.9301569231799932`*^-10}}], LineBox[{{0.015334916436144605`, 2.695427214760571*^-13}, { 0.01567413667554514, -9.843986736868261*^-13}}], LineBox[{{0.007974176138631928, 2.298994328242543*^-13}, { 0.007974176138631928, 2.298994328242543*^-13}}], LineBox[{{0.017301467076844435`, 1.0516587600761796`*^-14}, { 0.018008602395136863`, -1.6064649610569859`*^-12}}], LineBox[{{0.024306314482584017`, -7.622669162543617*^-12}, { 0.024306314482584017`, -7.622669162543617*^-12}}], LineBox[{{0.013457281519494598`, -3.135150472566295*^-12}, { 0.014603922407266897`, 1.879685296302114*^-12}}], LineBox[{{0.009733703800962903, 7.273209812197479*^-13}, { 0.009733703800962903, 7.273209812197479*^-13}}], LineBox[{{1.9885830426102924`, -1.9061141554033156`*^-13}, { 1.9885830426102924`, -1.9061141554033156`*^-13}}], LineBox[{{1.9994970648041506`, -1.0992015492261587`*^-10}, { 1.9999999591836735`, 1.7613646495352026`*^-7}}]}, Annotation[#, "Charting`Private`Tag$29974#5"]& ], {}}, {{}, {}, {}, {}, {}, {}, \ {}}}, {}, {}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\"","\"U=5\"","\"U=10\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #5}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.567426, 0.32317, 0.729831], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.378284, 0.21544666666666668`, 0.48655400000000004`], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.567426`", ",", "0.32317`", ",", "0.729831`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.567426, 0.32317, 0.729831]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.567426, 0.32317, 0.729831], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3, ",", #4, ",", #5}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.99}], ImageScaled[{1, 1}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*FractionBox[\\(\\*SubscriptBox[\\(F\\), \\(1\\)] \\((U, \ \\*SubscriptBox[\\(n\\), \\(1\\)])\\) - F \\((U, \\*SubscriptBox[\\(n\\), \ \\(1\\)])\\)\\), \\(U\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.00002, FormBox[ TagBox[ InterpretationBox["\"0.00002\"", 0.00002, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.00004, FormBox[ TagBox[ InterpretationBox["\"0.00004\"", 0.00004, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.00006, FormBox[ TagBox[ InterpretationBox["\"0.00006\"", 0.00006, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 5}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJxF1nk8VF0fAPBJKqFI8iCKSIo0ZiZbc87YU0myFC0aS7IVSaLNaJGnskRZ CtmTLGPLNjTJVpYoIiSyC+kpksjrveca/sD381vO755z752RtnE1OclFIBCk 53/9/+/ek4ON7KGTcP7frp7dNiVFHv7ch7tUabNh6VEd/xmWtG4fjvY+q0d7 8ubRqdAnOiU8JsSivNnDtJGGYjWl27Il++pasqPF7GgE7KeQdVLWNlb3hT0t +cB04oGwHlbhB+/WC/UutLauR1ShCnfq8I2mcuuws3h+LoupOkuaEfGgHbrZ ZyqxrY1VriOe/yrKE8U1x6k6EXXHbOq8aN6KauzwN93UKC76080Jl/D61ywB Iw272zev0Pruz83NnXjF8ljDuD5yyoe2xF9HpXrjO+oPu6mlPSK+NMXACdZN k1ssfe47+6eWX6clvrpwouNtO1VE5ZZOgNgNmhHPfP3ce2r1AR3SRaGbNDU7 k+UxOe9YewVSqaVRfvh6vSwq3e3ZqS4/2lDs8WWW3j0s/YGirm8b/6Ud+dOe PTlf72JllX3L+jaen0hNf2w07bX2Dk14Fzxjk5rFOtFs1yN4PYCWajoSq3C+ nmVR8dFzT0ogbenL/viHtBSWDZ/wncJrQTTxyDQLLUYx693oCXa7WTBt7Nqe W58Dpos9M4mh+yaCadcuuP1+9yuBtX0FraC+/h7tZ8KzPP3cTqq5ev059sEQ Wn/LuqwlgY3U4aSSlf+1hODzNLEqji83KPUKXdh/ao1/yIucj4suCKvk3ky/ TystZa5YZVdAPXSzi0vm6AM8/pEqqEaxzlsRRrudNyWsKFZB5Z8461McFYbi jEbqQFpRyS0QvrAedY9skBsfK5yWK0bknpE+Tz2i520WIxxB431trv3kaiqr LfyGgc/xSJof6XlyZ88rlundT88L2JF4fSer3I5qLjMbSetQ3BEs8L2OtXLm DPkg1yPOvL05+WclExZcz3rhTGAO6URx5nkos2csr5djlu4viWGj0GgaaaS9 a+m2e9SDoW1ORnIxC/cT9cYWergcM4ZGlJRecd45k8qz1GWg/9RjTr378bYQ S+5Yzn7aSzRvFAaxtOk6T/avjBCq3HAxiZkWS/vbUuhI7spjaZzdPX5nYiG/ nCVf5yzwn14c5/5ftzVYySIsjjO/2qWaFVt64mhh6jIiRuUvqeNdrS6yqvF4 fH5HqLN3bt+K59TXREg/G2+JXzy/n3pvDskncPJzA1bPsLwSaIpZh3xmNdi7 7qcF8si8xuOMbirXYcOE3O2JtKCNrTtPGVdSW3MsAovOJdKkvm/LFMyup767 6TrUXpXIOf9L5fv3LtuYxOkvu1TxmZJnEmf+Wi1efou6JM7+nGcMuvjKJnPm 2/Cisi710qIrZxOVmt4lc/q5Uq8HzW59womLXrIel/NdcDmVXUg7aNzKibMc pySzvXekcCykOiOU4JfC2e+i823naj8t2ja3oGmC8pTTj/9H2M6Nd59y1stT Ph9m0LPgTqqVm+mvsxqpnPmWZypbPLqXylkvc1SgsHxwMW6hOCY2RnvG6Udw rr34TzjHrKdPU9s1x55x1jcZ9Kc66aVx6v/InYoOjVpwPTXxpN5f1o80Tj/D RJkT/XvTOfkTX5awBeLTOfEY6S4p9d/pnPPQp5f62hhncPK/xUR9ufMkg9M/ 4tNFnby/GZzz1ZKwTOw0z+TkDx9RXcaTvug3tbw5olxMzvVsGPG2Td/O5Kzn zje0VttyMV65zaL8ww0m53rF91Z5ODM5caqro8pmQsdivNw/qfn+iiyORVOE /baSszj9XKquq5RaZXHmYff/129yezEuvNwmfCBv0Y6bG3df7l7sV6qrOSW4 KptzvUJ2mSlJatmcfPvrGyw17LI5+cXxASvfBmVz9kuwbKbQtngxbtft7DTV n82Zp4DQLh4glMPJ55faWyMNF02nFV567rjoPCt5xX0PFs17NbzjM3vBTVSr 6OUBHiM5nP3KZp0HK0VzF+/Hjt7RaJ1czjxH/pjGkFxzOfWZ4q+Mqh4uuJPK rUGaO1q5aAvLuMzx77mc/fjWbsYbL57HiftZ8Zw01cnj9JPoLn7B7ZLHyc+x dRV/fn8xv8vhw1vR/jzO+2X1GXDzkurzhc9PatL4+GdF+qKp5xI1Ov0XPEZ9 P3H4QVAWbkY/1cmLb1yzbSE+RI244p6UoJDPya+49vHI8iu4GV+p/93SFHSs X4xLBTypqNlYwPk+kS9wVOqKAW7Gd6pRyOpLSmdxE35S+4TLmj9H4mb/R70c fp54r2whf5K6VnzrHe2vC/0mqKlRHX0/1hbinqZqbgzWTKIuuiVO59Ghk7gJ f6ncT1KNC58vxOeopLQ1yyV4ijh+rVRBryMump7lVXzVErcUF5gkK4oQr+Gm LwUBzz+7dacu5C8DsuqhNSHvcXctA0XF+nK6M4s+CKcZE7LF+PWtAIPs9Pbk /bgJK4GPjrWKhSfu2JVApFL43srHuDV5QZpB9deiKtz0VUCn5pK+y/hCP37Q tn9HnKQYC19PALg1fPlTr4VbUxCsMA07xHDCHSwIYpr3ZCmH4iauATstZvl6 inFLCYHaNqb9/V7cgmvB78//SPzaWYI8LgyCbWo8U6xwd60Dcn1XGy1v4W4Q ASWnSIp8TNyCosBsuM+P1YqbKQq+ukR2n15Sis8nDq59M6Ru3IZ7XAyIuRPC G0xwS0kA5s+c776XcDMlwe4LpwzJibgJG0Dnb/EnvbUL/TYCj8v1S8ImcDtI Ab4532O7N7zA55UCEY6HrRT1cTOkgWyTIn3NGdwRm0AW5LKZfIDbXwbApy22 7SW4mTKgZm36SXYf7mpZoEh7mfNuORvf383A/eczSoU47ik5UPg0LC9fadGE E74qqdq41eSBvrBLftQh3PJbwfurWoW+V3ETFcCo6QhrXz1uhx2AsrIFwC+4 zYjgYunLUuIk7i4iYJ9Lo8nwvkR2UQYrtoaz123APaUMjDp9tXhIuAdJ4H6o S9m0Hm46GUj/1Sr/fBr3OAU45CjqvfPF7bATZDj8U1n+ADdDBfyU5Nqd/xS3 lCrY9X6k6mnJQn9VcM2/xSCqEXerGqgGZa8D+3BXqwPzlPCac6vK8H67QNTx a4b20rjdqOCL0Ok6i524/QGQrz5stG8PbmMIXK9ovwXHcTvQwL8mo+9WpOOe 0gINK1pNp9m4I7SBSElZ00gTblkdcMw93fzzIO5WHZCwJeJD4wzuu7qgZEa7 7ZHhK2SD3YA7e/vRQDrumd1g7ynRDoYH7nID0NI4+ulkFG6HveB7ckT3jhHc rfuB2rHrNpsI5ci5RuDqmjM9wsK4Cw4Avss6fb934f5gDDYfHBt8dQf3jAkQ 99mtcSoOd7IpEEyPvcObj5tqBqZ5TJUOfsH90Bw0sPPPdapVIHtYgIoxwQpf I9z6lqBIwklksx3u1UdAkpdEoXMQ7uyj4CLR9+9UH27NE8DVqu1A1B/cm+jA 7i45jramEl+PDg4M9un4UXEnWAPZ2L3/rg3F/d4WiNUntD1PwW1nB1bPzCgc KcU9Zwd+H86sjx3CrWsP6gWEhZU0q5AnHcArcPpkoznuVEdQ4Fz53MMZt4MT SKjysiwOw/3DGXj5fIoxGMWt4gpOp6uMf+WqxszgcwM27UFaQaLIhMtuAH7d V/8HVNMMKkpm1HafBZu+JW+1fYjH6efAP5KES8uZeP3QOcC/z7L2aQVuNw/w K5nPdXwcd8B5UGvllntl92vkbxdA2d3Xy6SPIxMCvEB+0abD5e54nOIN4kWa f/PG4HG/i+BCvTot4icet7kCVivl9b3meYO85ipIDCDe/SPxBn+eroJGwy0f rfSQ2VIMoFAjfG5zGG6mLyjbFix2OBW32DVgcZuP7V+K9/O7Bm7u4Vo10o/b 5jr4XPUtOVu1BlntJvDc4ry/dx8yO+sm4L/V/2MdHbeSH1DX/6Tp7Y/nK98C oeVv2mgfkQnm/4LdL5NW112sRfkSgaBTSjrvbyCyZnkg8GBEHSUm4D4TBOJo oSmhNchddsHgTwlD+4hEHWZ60z0QIjkzeIeIHEsJAfJXLgSV6CJLhYUAc+qZ DqnTeP6JUJBZdNRzoASZveIB0BdvkRB7h0y48AB0eJu82tuPzBh4AFaq7xHM WF2P8uvDgG2+SqrHCeSu5xHgn9w1nUuWvEXx8Shw7O4fs14R5NiAaBBv11dT qYjcpRQDFNcVFt6xQGZ4PwbanvQH65jIDWJxwN9oL/9UBd7PIw7UyVGut7Xj 9Y1xIO3r9YK3SxswE4PjgUrU4eT7O5AFNyUCS//a7psauO8kgsseWpIX9JCN JxLBS0OF+5ZHkekNScBw9q/vhlvIsdFPgLVV8vGUTmRC5DNwY+/6yMghZMam NJCsEtx0+ydyV3oaGFl9cd9p3kYUr0kHni/2q5NUkAWFmCDyWZmHjBYykc4E rHBVprAhckEmEyxxk97yyxqZbpIF7kpNCLMCkGOfZIMMfifj9Ag8TsgBjVOd d2IScB/JASKN1Vy+hciDQrkgzjdqXK8P2fhBHnj+Raf2LfUdZoO+AvDBwPd7 wG5kulkhmMwoFTE0QbaoKASql9Stq08hS6UVgYK1OybZIcjGgSxQqCsulT2I XG3GBm2ph/XcfiB3PGSDacEHTkp/kbu62UDjk0Be6tr3mH+6vwRF55ftTYDI anFlgJU8fu7+fWRRUgXo4FeKNHmMzP9vBZhxdy4VTEV26K4AgNbPE/ACueBB JShtaY++OYzMs6oavOCpqvLUbMLsoV4Dus5wj1L2If9MrAGEZi2hH+bIokK1 QDOOdczVGZkyXgvY6tnfT4UhM0vqQZlT9HrLEWSWcSPIGXJ2tppEXh7YCBId NIptCc2oX20juGnfcuSMMLLu3nfAwGbNw+tUZPsD78Fby5uiGXeRNa42A3ar qUNOGHJsVTNgHt5UUBCLXL/mAwgxf3H4VS5yacoHcOjg77DWDmRGVwvoMDi9 bun2D5grvdtAXdWukzyqyITGNlCqz5u3SgtZams7eKz7xEzUHFmuox3YaHaH br+CnLH/ExhUNReyqENeR+wCE3JAIP10C5o3pWf+u5d21W0v5JihHuAXbeDj cB25WKEXiAibfZOJRF6R3QtUlji/fViOvKGqD3i1RwT5r2/FnCw8CNhhMbvt 5ZDLrAcBj0ninI4yclzmIIisznSd00d+uX8IFOVVHvB0R44IHQYzQT8F7F4j 1+uPAt1901VaTcjL4kbB3eUExsbPyJtmRoHkFb7xtp/IX3PHAHTa1HBQ6iPm R6LjwEfXOJh2Aflz6nfA9fuZ4PrNbf83I1BxAqyv0/5B24H83W4CUOI+Ntup Yya8jZ4AJ/eseJSxH8WHBSdBdaTNZm1PFC+fmQRBGmIajlXITl+ngMRlP9t8 x3bMn+RnwU5jSf2Oc5gZG87OAiPZXPklV5GHCmeBT2336N4QPL7/L/giAbw6 i1A918U58LTkx91l/B2YN/8iwJ6gRxE2cR20MZlyp3bnpVBljv7cNAOLa5rH L4WG+9nX9AowM+Lrl0LbRxsPqJYhwz9LYbBq54D4B8xsI3NuOOR6VOzLLOr/ H/8yGNVlftlt/ycs3/n2crikbK92wAhmzUcvVkJRwdTVPpOY2UETK6GS1cp2 N0Inlt+swAuPTFedMxPGzD4QyQtzSXpJ66mYNVd78UH7BBpP6h3kD7qrYO0N Sn3lts/Y+jsCBaGGQA3XvZ3I/FmCMCXSWvWoJmYpsSZBeD0jMPabOXK1+Bqo 0TroLuqLmeGVugamKET/49SCmS7/XghqD11jLtfuwvq93rMObgz++vvpGGap gNfisNTa52n2D8z0sxPi0Iq81rJ4Cvmy9HoY9UGjoJar+/+O5bu4HopK3vb8 JoLMtV0CCqXK/6DQMNOVHkrCZeUnR14EYdaUNpCCX3997mwmfsHyj7jKwMTh 4jerA3v+7+ArddvgmfADMk6hmOm1w9ugqm7PpYoIzOx/eBTgm2je7ZcTMDc8 1laA340tg4YKMAu65ytAmD9pWt6DmVDzWBF+vK78yVu9F4u/clCC8cSKnc0Q c3DXDSXo8skikKiLmT0WqwQJqgzagBHmhtZWJSg3XB9nZofn794BPYxd7HcE YRYlriHC1ZJPvvX2YrbY0kOEmoeuf+oZwlwwM0aE7kEnar6MofUrp4nwwxLR J11TqJ4spAxj+v2tOvj7sPVcNZWhEtOp7j0Fc8rBh8qQPqRf/E4ds4FhkjIM 2STztBFiZqsyleHk/fYbbw2QuyqUYam3IbXmGGbm+XFluF9H6VnZDVTvp02C Vy/zRr78F3PBRUMSZOb1+7EDMROPHyJBYfnHNqURmNVGHEmwg19QvCgNs8X2 YBJ0+fDdP6sJM4/IRxKMEaj3ZH7EHPuxmwQbDFLtMjsxR/gPkyCl2EYzfRDz VMofEpx5/P5XygzqPypBhncd8+xjZfux/tZHyXBYM92fbxtmupMtGe4WTUr1 3IFZ0MKZDLmq7o8ZamBO+XKRDL1lPTx/H8DskBpBhh/+OEfYmWPuan5MhpT3 tkVvj6D6vmQyHPc1/Zt0EnNwWi4Z2n8m+ZlcQv5UT4blz7ellDAwu21sJsNN gZveyPthHtdpJ8NPVKHVc8FoPuUBMjR7+P3Bs2TUP3qWDLPPDuWLpKF+w1wU KLCn+6NvFppXlIcC3/xqkLRgYW5dJ0SBWubMJO53qH+wLAXGKKZUubZgbuiU p8CZpbFDbR2YifzbKbAgO2h71gDaL+6dFChy+9YBiVGUX69Ggeesfc7e+g/1 v0ClQCVB17zjs5jV7HUo8O6AfUs11wB2Xqn6FDhcavWbzIPZoG4PBSadNgK8 azEXpB2gQC49/RPnRTFbOJpQIF0C+nZJovyl5hQoUbO94rk85q63lhR4MX7z gLQS5sElxyiwxVtyZQAZs+gaKwqkHFynMKWG2W32BAWGyK/abwvRPJXWFDg+ x+1ar4OZ6GJLgUYtM8HqewbQ82lHgWkZP7MTjTAz99tT4Eq/kSYBM8yt/qco 0P547+RFS8z+sQ4UWE7pEO23wix135ECN/E3aRy0Q/PYOVEgo6fmGMsRc4OA MwV2Fr26usUVzRc+710hxbEhHphTpucd4ZhTNuuN5lV3ocBJzWe9Dj5oXrN5 X+NRNPX7F3OEzLxXN6S9TAhF8XPz9U3kUa/sCMzVw/PrPwzfTnwZjZlHe970 P6cH3saj+bzn55U7kRHT+QTNFzR/PSNlY+ajaaif3/z1ZsvtWDWThfb76Px+ eN12LefNR+ez5iQFwrHMS2IstD9J8/vJbTJOkn+J8sVs5u/HPOKwSiVmwmk6 BR66kmVh1oCZnjV/fhLd3wVsm9F68Uco8IsuqepsG7K7BQWe4c/ZGdSLeSrD dP583X6MRA9hFpQ4SIHT78mJaWPo/jhlRIF+j3KF3kyh63lkQIGGcz9ft85i 1ryhR4FCtjt9B7gGsed5n/b887Dt+TfuVZgLzu+iwLzC/FqaNGaGhuL8/SY5 dd1IDrOa6Pzzoumrtuu4AuaUJhkKrDUofHpxJ+bBQXEK7G0p8svbg5nAWEGB qbv+gHIjVG8y/7y6Pd418c4UM5Nr/nmesWfZjh/H7DX3nQyFJ0s0Fdwxj59q I8M2y7+/1C9gJio1kWFsCcw0uIzy39eRoeLNF5L2fpiDC9lkqCv8cjr2IWbB yUQy9CCV54q8wjylemr+fUSRir1XjeZTtyJDC5XLd/jrMbutNSfDXRoUG66P KG6uPf8+1E4UGBtD865aT4ZBB284VYgPYefnUEGCDNMuc00pzNV8RSTobk7V Kt6MWf52Bgkesvz5TxYRs5toOAlKWNtVROljJvrYk2Cqm66Uhzvm8Qd/lWGU eyzftwuYG6bnP18CPGYmHa9gbqX2KEM3r9y6E/6YRY9UKUNVhuylfTGYef4G KMPyIO4Pm96g/HXrlOHnjPI7jdLD2P4I8RNhwyj3CGkL5tiSiR2QrahneF8R M0H6/Q4Ym1rBf1gVM2NfwA5ok1wZ0GGImak5pwT7o6uDBi6gfLm27XD0bm3o bB3mrhVuCvCPU9OjrRe/YvXntOSgmcrxe0o+mMfTxeRg2pJ+P/IN5M/fN0Or iF9nQSDmYIX4zfBlhbjBwXjMdG+uzfCWlPVPrzeYjX3KZODVX1/i37Viltpi LAP/B9ezTHk= "]], Line[CompressedData[" 1:eJwt0HtQ1FUUB/AfoqA5gbuAiw3UIrAgFpFtQbnniggpocRaUpQDKyjBoCvy FFoHRJh4CYXIICbyUklkWggfLKYrLmutICKEIKDorrwfgjyMhTX5nd8fd+79 zDnfe89cq8CDO/ctoShq55u1uFPZn57wUA9venMSTc2vJYr9r50f2Iws+n7F NJfE6LOsux1pyxXnuaTTif/fuBttbvkKLjmbEX+OE0abOn7OkqzfbKgLrqPd 2zRqTqQXK+w65JhfVWhO+KY+Qk8l9pd6mxNBf37Z+hbaohoph3gfd/B60Uc7 sfbwahLRuSM/jj26aNfiNaZkxm3y1hCHdq+42YT8dClv+AdL2qKSFBOSnPCE EHusC16ySZ7toedLCO2isFYWqT2UuyEzlDZVLjQmpMtl94KYdqLdXSNS796T Io6iLS/wMCIqDq/TJwEdCG+T7r+uJpidxLzKZSWh3upqLJSjW0WGJDkyYcZY ifOeHjIgK3qsuUfvYj422oCwpfsjg9rxPUnWMmLjq1tjP4L1riZ9srXE6scq zhhdDzhGEX6+EU9pgR6ypQg3S6t5ZEWbepXzGubi/g1c+j7WY+x0UClM8//W FZ0UqgUTvYldCyHYL/h6BqjZHlO2GM2WTcPIiKqVF4k2sZ4GZUeZ0OcI5pO1 LyFO+t2O0l/Re5QT8CRA7u4pw/7w1GFo3FWp738THXJ6CK55FdRHKNB11YOQ 4xzl+ts99Ddj/eBhbC8Yf4YOPqWBDcvMtPoD6L57anhXqyczH0VfX66GV31d zm6z6HVpT6HiRvbHJ1eO014a3wP5NZLJ31ehDdZ1Q/LF0KobZmhx7yPwz9vy 4cB7aBLSAV6ZTmPzNujzLg/BJcmykuWA9mW1A0s867CRj97W1Qq6IM3gV5+h ExsfwJBfS/leglY0tIDCo4KXtQ3tXtwMsZYBa5/uRvMz/oZAHyff7j3oxikl eB/TS38YjBYcaADeYOlEUzhakl4PbIto23+i0W2Ot2DB+ws/RTw65PZNaKsZ kMuS0SKNDOT9tVOX05h5z16Dincy7Kuy0FTMFUhK/OCXC/noF9HVIP5Td7vk DLqjUAp+fc2zZ0rQRYpKcNoeEZB7iXH4BbBI2HIiuwotzy0Dw2rTO+lX0PeH i2FS83wupY7pHy6Ex5yrjkflzPtBBaD6MjVQ0oB23ZgHl4/45cWqmPmjcqBI 6qCKaGbut8iCTLV24UAb89/LU+Hw6qaPQjuZfGUSBHkW7tv7mLmfJQFvycFT AWrG9lHw+R+uTd8PMP4kDHjPWHq+o4zviIBlpuYLJxlfF8L81pqQ7bOMuQLY xG//WTnHmLKB/wEyZ/jl "]], Line[CompressedData[" 1:eJw10AdMk0EUB/CWoQhiSy1hamgRg4bEEXf6DrDiQhKDBaQgDgQFTUEgGmjE xgFtJaiIA0TABRI01aIsa6hE3IIighSUIUWDCKUYhlIc3/u85HL55f7v7t3x dsUFRpkxGIy1f+e/tUvP1eSZGbwZ1JgD/u76pc5WtLmhoNW8brhgTbssCpYF l8fY26JlNfFwazDf/CyL9uQh4CvSL7M5tDfJ4CI/fnkm979PwAzN1rc2DrQt T8LxIN99Cie09sFpGB+YZznVld4PzAaJnFNwfDa6c/1F6OH9WmHGo/u5mgdv RK/2mzzQp8k1WDtwb4rUE+3GLAJN+uXCsflon9GbUFwtaRpegGbLVOAqCpEc WIz+oLgLWd+9rQaX0JaUQaqbnaBvJbpSWQE/qsbf7xHQ9bVVELulO05P0HJ7 DQSllV3rFKKz5Vrw6g+yaQlAX1/0BCpFm2qUm9GCz09B+HB1ItmCFhU9B3Hm grYbW+n7dr6G3hGPU6FhdP/iBkjY7iq0jUDHqt+AYuG00qRI9IoPjcDN+R3h GY3Wjb2DQuYIp30v+hn/PVQ2dqcIJegdWS3Qm6TZyElGO3e3Q8JH9WSdFK0O +AQmvxJ1ciq6vbYDuA7nnbuOoYd3d4GwKq5PlYluudED9bzo/MgzaK+jehAr wwMdstF7I3shIWxDdWoO+tCSr1Bo4isDrqN97frBK9qJMIvR97nfoaKeZbxX Qvc3awDqCyZCXVWUZetmG8Dk2zzvWxV6aZgRxGmK5/IGdMbGUegdOHJY0IiO HR6FAyEHFxma6Pflj4HcMzInRIf7hyfGofyFIGauHt3aNAEzWQarxz8p+8RJ maTxoTJ9gwnr29qYJGu/x5SG35S1PmBGOC/E5jqLISo/zdyccE7UmQZnDOF/ 51oQ9q9co4s7ZW3fyFQy/Ytfe6I/5nvCWeTVuU7xeADmk3QskrFG2pq6mbLb Hi82sbl6p1kRRHmHsZRNrLe5vC3YjueVquyI1TtD3ctEzNc+m0ksai6p3PMw /2ilI9EJ1qzvyMd8vMKRqKr7O3Ov0G51JOJy4HCKsT44xYncvd2RxFBTlqXX OJOIPPdVH5+iXYJnkcrk0sfnhymzvUU8wrIWreNaGql6/xg++QPzwKXM "]], Line[CompressedData[" 1:eJxF1Xk8VF8bAPAJRURIspRsCaHJTEXmnKFkiQpJi32pZCeKIlJJ2hQhWkii IkKIwVCi7FuJSGT7KTvZ5/Xec6fpj+r7eZbznOdcJWXnbnKCjUAgCC/99v8/ 65sDivdzj1GX/ko/QpOG9Lrm1Lz9mI3Uf8vBta4jgaeMMBOChTfD4qRNcmWH MRMHnDbDNevCvYJsUP64oDwsmHHg+euDudPYWgHyFPOBX/GYw2V/bYE25gr8 EYmYPax4lODbv3u6tZ5j5vdWVYLWRL/rT16h+NYgJZiV0N18PAf1axJVhuZX 8tzqK1H84F4V+ErfLr5oCnOLJ4UIyUpSkDqDeUTQkAiL+DrbiucwSz40J8K6 Rst1JYRx7D4nzxPhhOWx2++5Mas15hAh9DLyr5AYR/dT3AbLTVeL6Uth7p9U 2waNdtbkfpJB7tPZBu3mDcY/y2PWu2C3DV4L0XWqVsXscSxmG6yLhUcbdFC/ xsVt8FjAwqSJPuYgKR5V2GVNi2g0wBxjsk4VTsjuqm0ywjxtsVUViqZv1/l6 HHMnn5UqtHuvRP7uhrml+q0qHEwarLfwxCxPoatC79CX7u1nMGfc+KwKr+2X f9Xhi9m3ukMVpn6Vkf4ZjFmybTkJTg6K8fdGofO4D5Bg5KO+8ocPMGvuPEKC pIPZgYceYs4DNiTombl/mJ6A9vXNkwT/+AbVxKWi++tFkOBNxf0hJumo/944 EtzyXRSuzETziCeS4GlqVtrZXMx1hzNJsGd5703jUtRvsYYEr+RmanOVoX1V NJOgzOnA+aJydH/n7yRoWyXiolSNOZ46QILt9wwMOFswj4gsI0N/bRH2olbk 1yvIUHzqV753O+onsYoMjx27qNjVhdnmujAZNm98s7LwD2bHuwpk6F0fUHJm BM0/rkyGay7v81McR3EVVTI07u3uj57GnLJtFxmORGfEH5hD88wAMryjH3B0 +SJmozgtMqxOFa7wYp/A3stZjwxdrLoDFVYgxxqQIQ9/xs5OLsyOiQfIUP+M fvJ+PsxGu03JsF9W2JpDAHNdixkZXvvSJVywBjOX/jEyLFP3D5EXRc6zJEOH QT34Qxzl51iTIfujtVP3JTBX3LElw6cHutIMpTCL7LEnQy1C+gl2Wcz0Ogcy 7HxzYUO+HOZ+tZNkGGiv1+yhgDn8wikylFi79tZmJcx5MY5kWPjxp3aHCubQ 8NNkaOH7ej5yG2Z5eycynFO4kG1AxuzB70yGsW26Lmw7MRMeLFn9lpDsO3XM NvNLPjeSFiFHxXzU1IUM3x7SZY/UxhwjuuRQg7yr63Uxj1Qu5VvsUeBK0kfz WC15q0ZsmLIhum/90vlsJB7enAOY9TYtuVnR/w40RucdW5o3RfqPQPkhdF/X pftcELOKPGiGmWi/dN8DgrXCLUcxq6kv7UOKW/OBjTmaf2RpXxPL3ogPWCKH Lu2zYkbqsacN2ifBjgzjRu9Jztqh9zG3IUO3AfbE4BPo/CgrMtz903sTjyN6 jyyLpfeuM1Nc74o5JfwoGRZUlKc+c0fzmyy9/2262lZlL+TJQ2RIzhBbWhra 78+l74cz5UbORz9kRUMybH0yr3bQH81zWJ8ML93pADaX0Pd1aA8Zml47SO+/ jOaT0yRD+UD6bs8QNF8bhQxr3J7qBt9A3+fQdjIUO3DS+Nl9tK93cmT4Z+/X RqUYtJ8kaTKkAz2zt7GYNb0lyPCksqL5xyfoPQrXkmHWqiGH/hfofDZ2Mgzh sO7zSEX35VskwePztadnXmMOYkyTIOH3GzfubLSf8CESNKz08VUqQt+HRwsJ bnzfO5tNR9/b8wYSHMs/EgDeY+4sqSLBBy/Vgw9UoPxXdBLsvb5ww6MBzWeQ TIKBelefZPein5cOdxJssHK0IA6g8184kqCsj4Fo6iDah6UtCX5OEIhIHEHz XzIhQaG5RyH3ZtH7F5FIMCUtx9WDbxK7r/KYKqwT7NdQ2oG5btFaFUorVE4n q2HOoJipQh/q67cyGphjHA1VoZiL91ZxTcz8N9VUoUMZQYZ7H2Y6B78qnD4n yt1viTm+q2AblGrf15J4FXOnH9c2GFaqkX44FDOxYY4Ix5KVQjhvYE4RHybC Ui8+snM4mu9yMxE6cDXcUY3DHJqaQIQppGO6JRmT6N/DnUSoEnYqp6MNzUvO UYG7dl6JFFWdws5LEtkCLSRqZ5Y1YiY46MhCPlGvtwXNmIPyFWRhyZq1nj4t mOkSvLJQbqV5f387ql/dJAOHx3u/1PZjDo+1k4HBnxazHi1izrgcLA1TvFXc 1BX/Yl5RKwmPu9crjCth9nDOloS8Tt49qVsxd3Y/kIRe1vkWktsxB60+IQk1 9ukYcGoip01vhDUbreSbD2MmXLeUgJOfb3V5XEL1C7ri8DtPs+P8ZczxxuLi sNRw/fC1EJRfMyQGw2tezj2+gVlTK0oMKjaUC1XfR/VCfaLQ6tsyXYWXmCXv hovAj30+r342YKaHsQvDVPnCba7NyIrf18KI0xx501/RfFPZa6HN4L0Pq9tR f4FTa+HsUHo76EP9zaqF4NapgdWxc2g+6adrYAyHlbeJ7DRW3+0iABft122v l8NMzzAQgA7v6yYPKqB4iqIAJAbvObdfBbOm8AA/rGDIn9dTwyw5fIof/p0d D4SGqJ6vjQ+ajV6/oeiN8ue38kCa0R7DF2cxE1ZMc0PpjPlV8n6ovz2dGw65 ud/edBHFBUy44dXfpnclQ1E/db+VMLtvY7TwQ+R7Xzjhmo63T9k+oHqpKg54 e1VAQO5HFJeO5YDcGtpHXT4h+ztyQLaYBt4vNXi/FRzQJU2mPf3rNJW37cLz QUd2OGY87PviG+pXv5cd1pXJHzQaRvOrNC+DhhPDCsvHUDwmZRmskM7lyJ9A 8cP+y2Bx4N58mVkUr5JdBl+r2236yzGDnRftR4A30+LmHolhDqp1WARc3+2+ mGzATKhfuwiucCu+4ZRE9ihfABdO5Z303ITyLyktACep5nptIop/X5gDevf5 Ugb3Io/RZsDygEum6p54ffIkyB79PVN8BtXnu00Ch5NHn+icRXHfHZPgw8Gt /x26gOIHyifAFen2QLerKH50aBxwVKi9SnyA4qeMx0A25ZmR4kPkzI1jwOHN 6qmMx8gnh0bBh9hezaJEVC98axRcdo380pKGbFE7AtjWjCzjK0XmqxkCmdfM kyM/IF88NwTs5j8aipcjJ0sNgdKeR9HyVciGvn9AcJ6B8p4vyJdVfoNlVslH ff9Dfl44AAgvrNK7BGcxN1j1gI+/v7o9WYvMIdoDbhKNVSxEkIcbf4F1eXvS mjcg9xr8Airl8q8q5JFPaXcDi56x568h8vThn0BaweWksxayrPhP0O/Ss0le G3mwsxOcmfj6LEEf2cutE4SxFz6NNEWukfoB3klde3zeCVmkpw1cPEGw2umK nBLcBrRf+G2YcEd2k2oDdUSXh64+yCp2raCfahxrE4T3G2kBwlbiUTpRyLPU L+B7QuRh9gfINkPN4GkP71p6HPLnR81A2ZUQqZ6A7MBoAtr+PXeVUpGnqhuB V2z6LcFS5ANR9SB3PvZa6Qf8Pqb1YN4q5JJXObLjmnpwTcbSp6EKOTWiDjxM 5ba89xVZXqMWlBWdUBL8g7z+ZSXgljKWKx1G9oaVwOgyRdJrDHlV02fQqrtG qOEvHmf/DIbq6HN32eYwk70qgEi3eKWACLLpzTJguZezrEQM2XB7GXiaPFbk uQFZ8scHoOTyKbNeGo/v+AC0Js/G3lVG/j1aCpw4G04L7EGue0gH6acL7Uv2 ItPM6GCiMsXSUw85VYAOAsMDjev3I+cJFYNIUWX1u0fx8/gKQeGWUC4BN2RH s3dgR9O66nsec/jPUx7I8E++K3QGueVaHnha/VFMxBeZvzgXhLovV94YjEwH OcAkK9hYOQqZ4JcFKs0FhdNjkLnksoA2x9NWYhweb8oEOw+X2JPj8f6kTLD+ L8NH4yV+P8Ib0LcrIFa/CDn+YRqw6V5lXUnHzxdNA603Hsrsf4+cEZ0Kqr4X pBpVIGvGvgKZF2eLjjQgd759AbZsDrv8rQnZSOsFeFYrqmf+Fe9fkwKiJdXr rb7j9UPJwL/0XPeJXnxfu5+DSSfOlL5+fP62JOC2Jtrl9CB+f58kYOuQM+ky gvdPfwZ0Vkxyes8iB21PBAL7vJSC+ebReSHxIL5kNc8uAeQMYjwgqqcNjK5B puc8AQfk+5/biiJLujwGYSuspLRkkTVn4oDoxTnGtBxyp30cSJmM6chQQLap iwXlvxrjJLciB715ADje6wsTduH1kdEgYlffRC4FrxeMBtKZVxrdqciEyCig mVAc/kMbP//RfRAQuJ2n+CCe/zkCTGlIES6ewM8LCwdXs4o6tjvi8yuGA6Et FoV/nPDz4u4Aklj0eUsPPE68DTymV01SLuDnXb0BGO4vGycC8Hm7wsDtPt3M 1CDcu8NA6pdg9/UheD3vdTCQPT0wF47HK0KAr1JURVYE3o8aAriekZKdo5j7 vArkItwc2uKY+7gC7Dx/deQ/x+Pvg8F35bpGPxoep18ETwYFAtiLca+6COxe HJK7VYL7UAAYkP3qG/8RP2/6ApgS79hQXofHT/qB/G8by40a8XiNLwiItvVo bcZN8gUca3pK/7TiFjgHBLh/nxLqweu7vUFTubLA4z48bu0NYq6652/+D4// OAMklo2v0hjG4/1eoPfumbLV0/PU3v++sRkYe4Lhtxrmg3N4/nMPkHkmgMNn Ec/X8ADqw4QjoewLyA1uQKeXc/41L+6PzmDlM/0kNX7cvM6gyvbGgVJB3FZO 4FA7X0LzOtxzjsCmaa3OvBRuz5NA9t6R4auyuNtOgL6DD2JWb8a97wRwq1w/ KK2EW8YBXCiVCdffgZvTDsCgE+qNarjDbAEbTO6y0GDOYwtC3ylu99DELW0D ojK2tUbtw/3ZAhxzO3NZcj/uaXOwXumt0suDuInmIDFZLbDQFPfLYyDjMVX2 lxXuVjMwfn6c09YWt5wZ2HEkebDdHnf4YVCwenXWV0fcOqbgY1CHVqUX7lUm gMvy3iY9H9xBxsBAXWdl2TncE0agbjStrsgfN4cRaLMLsM4MwW1hCCSo2/Zs vc6sNwA24j1yqTdwP9sHehsNh5LCcRP0wYj2+oAHsbjX6wCSVJ2N8CPcpnvB 2YXL2hFPcFdog7xvO+X5n+L+vQfMvR3kufUMt80esGJzQWzQa9xcWkCf3f3i Qgbz/prg5g9pu/NZuDupQCAmTME7D3cGAKbekHc0H3c/BUQZjY24FuKu0wDf lJ43/VfMrN8F1q88nneqFPeIOrDu4X346wNueXXwtKQk0LacOZ8a2HxeQde8 itlvB1AdnG4+8AV3Cwn4lKe+q2xhnq8K8hJtHum1MferCoBFhcPuTua+toEg NX+94i7c/kRQKkRUovTgFiECvero8e3/Mfsrg7AXBl8zf+P2UALVVxn5W4eZ 82wB/HZZj1NHcWsqAhN4KlhhArevArgvJn7y+RSznzxomarRl5nBzS8PxBqD lePncB+VA5bpOwQ2LDL3tQnkHJ/mqyMs4vuSBXwr8lddZsftKwtOvbnAvWMF bjUZQLcAXANcuPWkgQgXY/lDHtwpUsAzi85+kA83UQp8tgpexiaAO1wSSHNr M7LX4I6XAOffLl84JYybIAEabcpnxURx22wASquuT1eLM/uJgyu5+6aCJHB3 ioHvdqsmSFLMelGwna9mtFcGt5EouP3uzvADOdyS60Cvg/EfQwVmP2EA+dcM MrYw84VAdEFTf6YKy3qCR3+JkHF7CIL4QtGuyh3MegEw49j246I6cx5+YCL0 qH0bhXk/PvCy2KrtF2TOxwfYnCW/RWux4ubCXV/2aTPruUF2SWLTgg4zvhKs cj3RkKHP3AcXcBDZXGdvyOy3EhS+768WPsisXw6E3V9WfjLGHbQCuIm5fPI3 ZfbjAB/LlMu3HmH2YwcbPYc/dB3DTWcDvuvflN63wK3JoNSVe9H1rJn9lgH5 M+SiOVtmnAAuSUwVvHZg5av6+OUKOTHz5yhhkhpvy12Y/ecp3ZXzmefdmf5L oZwrylD2YuVHSge97vRm9puk/KnWSo04x4xPUXT82F/qnGfFH8uWJc/4M+Oj lL+1IUmpgcz4COV4wK2HvmHMfQ1RaIqREdr3mR6gCH05fPdvNLO+l+J6ad2d l7FM/6R8VPp20/IR04MUiZbYMP54Zn0HpVZFIuRsEis/6GrCpe8vWXHec5z7 bNNYjnV0FexNZ/obRe54Y6tTJtNNlCwD9cThbFY/TfDE2TuXVV+lspw8847l Y5LO8wE0Vn2vQP0HtmKmaygiLY69az+xbPCYwKXQyMpvuXOyLq2Z6WyKw6Wq GNUWpgmEUS9V29xWVvyiQ4wCpZ1lbrPFUfoPlqN1HfL3drHOk1X/HPz5F+u+ GYpEg4N9rPzukXIXu1GmP1CEc61v+8yx4okpZWazC//mpRFjt2wMJDD+9aPd uNvHzs74V68f8Dc9dDnLX9wsfXm5mM6m2dm817zH/c+UYWOFlet4Wfn+e+7U x61m/Lv/yu2TDyQFWfVRcuZ2SUKsfGmREkXFdaz89JWbx1+LsvIrfo9dzpP4 l0/rqi0SKpVhxd1LZNt15FiezwxLqpRn5Yc+G3E12sI6b22U2Y5mZaZraE+v 0RaPEVn3UfGTLu9QZfzbV4FT6B377az59CyGjvTvZLlpv6mk665/+6TZUvP7 Ryn/+lOGiJJvzlJZ+eelQ/zmtFjncQr91grSZr1H5HIT7uW6rLjk39yG6/qs eFr/hjg+Q9Z8oY+u2nQcYPV3MPmz6bUxK1+T8/BggClrP+tptIz9R1j50x6y ZzccZ+1Dy4h0X9yCQVXrt7mfMvCR9rp1nFBozTovOb9n0wFbltXEfa9ddGBQ l3+bAz8zkmi7ZxSNlRz/xSl7HydxmjkxqMVXpgRbB+mUGbvZtkpX1vs0rbNL iPNgOaPq00nnMyzz3CBQur0Z1MKyFevELfwp8jTbWW4/BvVbiuwffVBboD1I yG29wLrfvd1BztcvMqizdSsHIxSqKB8WzjddCWJQ75UcV+93LKdEvIvUd7rK oGr//9ffYkpm0ZMq0WvM+me022c47w1cZ93PSd79yLubrH0psfN0X77DoPYW yGaG1ldQTLOHBn3vMqjePvazZh/f0+Z1nifL38fzg77Qkr2HMoyiGVQnxWfC Ci+qadkZPqoVscx+n2g59Z8VBB8xqHG7PnUuj35KcxbbW3gqnllfT9GpTQ3e mci6X/j3BGWRJJY7VNfPT6UsmdqeQt6XSPls5/PpeCqDmpIdWbP69lhB9lOD mLOvmfkdtPAjWZY6b1jv43vQZhVvNoPaujFKIyGhiKJXEtzfk8P6/qrzDI9n vGNQj+aclX9TWEH7+1/Q3tYCBjW7vKfsfm0VrfXHO7XDxazvJydSalG29N/8 tHv6199PfPh3PuVD5hvd9+UMqomTb/OZvhZaVXD6oOwnBpU3zOLKMtNmWljG 7qxrlQyqvQhb5munPMomR/oah2pmvzaKWG6AtUQdg3r7PTBc0dJHm5Ef3Pqt kUH9XX7xd3lvJi0v5K99YzPr+3m8MFYm2MKgzlk8vDc1WUvpfzL4rLOdQc2x L5RsqumiGCSpZO/uYOb/Wvr/JMpP8CfrfdhWL8Kubla/Wo8Jq8QeBtVZK8VN 3GmE4nRTcuH6AIOqqHBC9qjLH0pgQULp+kEGtZR6o8o1OIEymh3yX+UfBtVT jLLOqfcn5ciTQOPfowzqio0KhYeCg2jyhi4/6BN4f5tuyqlNYuFuUwyq40u2 fDvjbxTvh7q9h+YYVL9gznHTnOcUmlPiVuICnm/BVhi9kWeSwcDc2a1rV/g/ 4ShrKA== "]]}, "Charting`Private`Tag$29974#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJxF1Hk8VN//B/BBaYqQJImi0CZps3Xf9w6yhIQ2SppEEaKSlLKkpPChSBRF IkQkZLmYrJWQUtZEIUmaFqUov8/nnuP7m39mno/X+7zPcuceRXt3K0dBFovl JMBi/fdt4tjfyPvgSP77k7NSIgyKPIMnbe/SpNR/zY8U1DsGLcsH4o8fMqBu zu/bkCvjDmwr9aK8P9spua7VHzyHTMC0rjknfo4Dxfrv4z2nxFFpb8L6sn1U 4HvnQw5eIiWFr463HKt3peJ2iNa42g4SA2eaKvdEH0L1nD90tuafVWPSnlRB Vsu+0pJPdKW+7IOKOC+U+38g9GPqbO3rvKmy6febmv900XGC3DTlJB88/g0t bq7jcOHsKeqL7L8byvhBe87wDxzc70d9HxL75CyUR39zGBF6Jx1AnbzR0iN4 VaDEcFLIxhHhQGqseFr/jubpIK1xTj9szhlqpeP4+HiZUMmjTfqrTkiepS78 rhMXedhNmIinE6VxQWg+ViNNcD3u7O8KohYvLORaRL6iDd8XdX2ef57qC3vQ MpnVSrja2eWc23MB178lMm+Y//aeGULp8538mo5m07tfOryTCAyj3KdITYem Idq6qtVrQ+o/1KpB9tvb4720vYhUSOHpcMpK85pP+HA//fzTbl77lgiKzti5 JMTvHeGVpR5pOhxBLTvv/2T+wy5i+RSqoL7+IlX4bY9+TGQDsVW7/gjP8hI1 Gtoz6aPVF3oguWTq1+ZLeD3v6Kpdwsal3pHYT+ja4Etl91sjqXlnP1oWkOlE QXT1JGVuFLVBa9DEXTCb3na2S3DhzsuonssnJLTW7MmbEk2tOR3m0r7xOy06 fMivOC4a92un32cUlZyDK/j5vSY2KIV7iNBXqHNmtlNzbTPoHQbHt1yXiqGy 9fu01oQ9o9uunDH22xVLFUuJx8/Pq6U3h77OL+DFTpw3UelAbF34J5Y6wU6V lszIpaeOHVxtKXgN5w+JnvsPDsknYfsP0WUurOwP+nE4H6CvLtwwlNcz4Xxi /U+5AfPIeMp9x7eGS9erCcvItgPmKtdx3kGfWcS9opJ9nSqx/DHz7q8smi3k +r5v/w2c5xCHd7VdspmUMGF6n9zL+VKQQLF1deT+XGuhVQaKV2VnJFCvbB9/ MKSqCJ1DRvyQ4Yn6V/TiOhfxrwaJ2JXErCURatbRE24ltHxqpyx6l0hpqKWb yszpJfhdLa5Kmjdxnk13En9CLpybcCpRG6N4h9884XKi4LvBk22Lk7AjiNww sTHaO4lyHopqHhpvp/d+953R9DKJmhHMrkz52kMEsO8vOj/nFq5vIpSEVO+o eSVPPE+i+s8ttabnKdgvCBmfPXyVgNv/y51H5HOOr0idOD9CUnNMMilowuV0 0dG2I09fY/t3EXtzC5qG16RhfyREv0WvnR/6/85beTTa+N2Ehwk7j80/D+mk 434fCOGsldbXLmL7fyayPokXVvZjc74S1qpDc4aoOzj/SrBcnp6YfQWbNUKk paW3c4awOT8Jq/5g4oBBBs7/EKMq++Mj4zIm7ifilqPBX/rbRC4IZrcW7u4z ycQWgOG3Ajzxm9gKk8CQWxpgb3H3f455fUI/7y82Vxh05WxudW7NQuZNgYEd mpPZmdgsEXjydNp9GcFsvH4xmDd4fG/mcmyuGBwW+TBTzwabPwOql1pXvjqD zZsB7s4ayqwObA8pqAxOfhk15R5ez2yQSZUKWrIau0saXGsCNUrtsCPmAK/v a5/VBWx/WZAStr/yPg+bJwfOyo1GJ7snxs+D0vWcEYnpOXg+BZB0yEpN1sJe rAj7AufZ6DhgsxdA8c2wqQ3h2N4LQaJ8rHBv8YSVwKHb5cBIH3aBChSw2mXD JO/j/S8CUQWTWkUSO3sxcKlCn3xnbKelkGe3WNX0Mra6KkzzvdLxhoftsRzs 4oXDPAexLVZADn0Upsrk4v2qg3BHz6d4fWzuStgxuvn6Kndsz1WQJVthXnN1 on41WNskZvG/YD9dC5/bt0y7KZuH3KQBQXZsx8362ApaINddXDbJFdtBG+7v dZfNj8L21gGTvgVH95dg96yDLqdXDTJ92OoAYgfhrI9mPrIsB5L5/DeqXOw+ DhBHbul0BmOn68KL4e2Xw+9hH9SDA94ifE4b9np9EBgtNfkq+ABZbz3EnDqc nLQMW8kAqk637hA+hb3KCGwnh+U9SMbWMoav5zgSzvXY5AZQCLtdVTu/ADnB FB6I71Q4ZYz9yAzML4n5qB3CljGHk1eOql8sx95lATNll4TofcSebQnpcR29 32YW4vO1hOZE/WvbHLF3boZVGTOE5dhFyDXb4LFaFbdOHTt7O3DveRf72mCn WENY/huP7nTs/B2gpB1Ze+kFdsNOKCo2VFk/ht1mC/28zPaUjcXIy3eDn/4e DWsvZH91LkhXS12cegPnDVzQr/UxdOXjfKE9XH+54d7KSBrlUxxhrfUfkXfF yP7PHeFpW/a+qB6cx++DX29my/1cW4JyCyeIsK/1SrVDZq11BpVe30abczif fwC2DPQG0S04F3aFj66x3W4CpSgXcYPTn82I+Uuxpx2E7O/3vwT4IHNkPUBk PMDWaF4ZsudhiHHebqdqiMyaeQSUmlS5Mw5i5x0BMq15b3sJrmcfhcK06LwH ajzkj8eAtTtAI10PmZftDYZSrg/itmH7HIcXvrqFAb64foEPfNo8SJvW8/D7 7gtrpjYD+RbnGX5wovRhqfoPZP/N/jBlyRXerHkPUb1NACj+1a1844bMCwsE p/uqBs8DsJXOwF2n2dWVl5E5vDOw7sVgTVoJsj8rCLamXqk9Mr0c9csNhrhd p832KWK7noe3km511muROUsugPspvQbYVY73FwLnrT49n5KJ89//wLMpLZt/ 87DbwkG6pLxpsAnZf3cEJC2KedU4hvtvvAglY3pt18wqUD+TSJiUs3znP1zs xkgw2S/T4e+JrGAbBc2Nn147xiFzTlyGLykx3SsGkbldV0DLNtB+AasSzXc6 BnxnHHwnJVWJ1x8LIif1e3+tQ2YFXAVly6H+ihDkLm48yPoZ6exPRFZYcx0k MhNCpj3AFr0Bv9mb1SzfIqvvS4BnvAdHOrWqGPONbkLVkERVgDnys5qbUCR3 QFrZAZljkgTJ3nKFLuHICja34IR6wN+RXmRefAq427VtihtFVte8DQ6hqxOp GdWMs5tuw6b+Xv0gAllBNg2UEkzOz4xE5j2/A3Pqk9ryU5G7LmSA2NjYsh2l yOpGmfBre1Z9wgdc//Qu1ItLSalxatB6he9BBbg5Nm5FLvC8BwUu1fmeLsgS vfcgqcbbpjga2bouB7z9Xl83/oQ8QueCW6YG/6PgI7ReKg/s28N1w2WQtary gPxoWj8Kjyjzk+eX0/fzYcHnlCV7r6Kcr1QIs+VZPsLZyF1lhSBqavM0rQpZ xq4IfqaIuPP5yBG3iuGpnUfuKaPHaL6dpXCsXpuK+Y48wikHMbW83sfsJ4yd ksvhVph66Kgc8jORCmg0W9RqZ4Ds2lkBy2qljihHI0vFVUH50og529ORH0lU g/UFEV5wKXLGuWo4u0Fw+mAf8uKTNfCm5nNKjmYt/n89Bq9FLht7TJG12E9A 9Fzft1lcnF96AtqGrznHg5GVMmshsvJJG9WK64XqwehhsljdiaeMTeIaoVNB Me/vP8ihPxrB0z9up3oS8j6r55BIRaZG1iKzxV/AaIm/3g65Osb9cU1wSX6s P0QduW3SS1h86lh4yXrkqIMvYStxsEPBDbnA6BVkFe30el+CbDajBQxlm+Xm PEfmBbdAx3GrCpM+ZBPBVpiqvUHirlg949zRVtj7QCPdczcye2oHzM6d0Skg 0MC40qQLbENHt/RII7+90QU3HXprq1WRo350geqswsIQa+Sq1G7Q8+JenpWN vFjxHQSbm4iOVCFHB76DOpU1gW3tyHXv30HGx8CCBqFnjOm8HtCI254StQLZ w6kPbIKfdp/VQZ7e1gcnPXXljxkg5298Dw/NlkXZ7ETesK4fzP78DZh3Dvmo +gDssUvZldqJLBkyBGdM5sbGfkDOUPwMKRoRTRe+I/OLPsOg2AlTt2mNjKtP 8MGrbKP2Kg3G/hrVXyD2TrnnQl3kfLmvQF/RzJYyQ/V5nl9BwENx0c89KN+0 5BuEKgxL0WHIccnf4a7oAYvMGORG9jA0jnSGXE9CLnQbBunGR4IBhcjlxA9I DIjjG/Qi+/J/Qv5b/acNxHNmPu28UXhlHPAlzAi5es0Y/LhbKm1mxdjfPX8M NH209zzaj/I1vD9QMHPFD94llHsPjUPLcde5fvGMOe8pFjnyJo0DqSivOM8i tTKUQgpLGPPkFQXIwvWyCjn9yO/tBMm29O0GHt9Q/2v3BMnfEpcPqP1F/ZIn C5E6r8Xz0me+YOqb7gmRRUcnmySRyCvnTibpFP6RqCjkBg022SGqFmt14wV6 fxLZ5Nhhl1KJdMb+o9OnkkD1scPKGHOmD04lS5vb488OIBeUiJCdMKdCfxiN r9YQJf8mbesXYDUx/UvuiZKkR+Mq31mMOWczp5Nl7JoaLw5jf8MScbLr4KRP a0wZczUWSpCsl7qS37YyTuhwkiA5ibStuwsaf+inBMnTzvmyP7oJ3d8LJMny A/FzbQbRfM/uSZH3P7i42P1AThCaRd5y0iney3rJjI/fNos8u695x0Epxgmq LGnS2H7G1UCCMXe2/WyyweaszN1QVP/RQZbktWx2uh/NmBVUK0tmb19QUJDA 2D9q9Vzy0tay7RW5yPPZcuQ2y1/RLR2ov0+FPNlh7DZLaPkrpv9whQJZV7PO ka3JmCc9SZEsNZyWN12XsYS8gSJ5Y/3tLTJbGSv0PFYk7TndkctPMebkdC4g +zW3SlrXMebP1VImW/MX2u9qRp4crEw+Wfv1nn03MrtVmbyzOtzSbRjZyVeF PLjiccRp+WZmfSOvFpHDKiCe6YZcXL6UJN/q1VzwZqx+WG0ZGRRv7OcUyFih 9NoyUlpqy+eFsYy5qj6qpIaAS8PVSsZ8IXM10rs9Jjx4bst/LvBQWknyoq8b 7VNhrLXDaSXJtro1rr+SsTeVuZKMfZTlPm7IWEJEZxVZlFe9yesw4xg2dzU5 Fv5d3OExY4sXXWvJ9aa/a3SbGC9epqFBhgr/e+5v0HxFoRqk/CkRftt3xgkX QZMkDyx4ZqnQyuwn+q4W6bfeIoI6hvyucR35aHyrsfxpxtxqgiAlineyRkMZ KyxNI8iElfs98m8y5p0LApI3z9dieT1jGdUtFCn4647EXOU2pv7jDV1ybp3e N2oFY+9lnbrkmsTWlw7ajLO15fVIxw1Trt3dyPjR43g98lGsvbKeF+O48VR9 Mlxnjo5zTRu6PwcMyFSxbLl/GhknOGsYkry3huM57Yw5RYGG5NcLnpVjnxlL WCkakdvaG8wjZNr/M53tZEzKnQza+8CZsfrAUlNyrYW8YccRxgXrg01Jc6Xc xQK+jLfU9pmSfk+7P5lcQuMP3DYj38qBd2cRY4ttmuZkWsm30MmiHf85P+KJ BVl+8YL7UmnGQSeELMk2R0WrTQqMr8qAJSkqtml27BrGTcdzLEkPu/RE1V2M o0VSrMiFssadHtGMlbIlt5D/B5tsLU0= "]], Line[CompressedData[" 1:eJwl13k4lOsbB/ChzZEjlWxRKkly5JQaOblNUpEle7QgITpEE8mWSSplDzWy jaUs0c+uVaPGEjNvKZSsRZaypY6icn7u5/w187m+93s/9/O8c831vqucvCxc hGk0mpIQjYaf6w3Hqmxud+jOfv2ukGYFR5NX7qM/IWbzta0hlt41INdKPBNe aw1DXgdl3/8iFlk1aAMpPdZB3iadaKVhazsoUS83cNpPPL8lxw7qgySXWR0h zi+btoN/ZF4V0n2JPzplHQBTc7PumRTi2DraIRB6slcvapg4dP2oPchI5IuH TBJLCMwcQN3+t3ZvWhd6a2KZAxyYrjtlJUn8+rmuI5Rt2nVz+XbikenFR8A1 S1ckP4I4SK/ZCYI+pzUnJxIrBC46CvG6M5yodOIUR6OjwG1/uO1kKbHLtpqj ICup/bdWO7GrdbUz8MM0qVrVbvTPrg5X0F7UKBy3hXh36/pjkJt0hH6QQez+ yO8YnL8TzRmzJn7pIuUG2m8GmTLniJ8cd3CH3A2p0sdfE0tXrvYAqYrNxprv iQ2+hXhAGKOBNTNMfNuqywOK8n/4GAr1oB1OpXlCxGOVrk4p4vHral6gNxRa NF+PuD13x0nwV6ca/t5DbD3hfxKKTsl+eGGMZqX1lZyEFTP/k03eT1zVoMyE qSWdoRs9iVnPpU5B0Xa6tS2bXC9/UNYXBs6Fej1KJfka8cO+sKJOcHl1Fsll wjN8IdLcuWq4kOR9b9ROg5tr3LpzT0l+dZ2JH6yM/TSVN0pyKasKf6g6EpJX 8oXk3T+FAsB+81K7B9+JU7xNAyClVfsuX/gd1rtzhwJARuHK6TEpYuOtqkGw JF/li6Yusat681koDnyYqaNP7Ov5RwiYmZhZ7DZE0wauXQqBmHG/4v2WJE+3 XckCMXqdV8AxNPfsyg4WzOO5DD+OIfmMuWcoZCdOJdcnELvUZISC/rEoo6Yk NOPs49ZQCBUtz3+fRfo7G+udhxmzue7z7hILhlaGwffOzA97e0j/c7qTF+DT t+6uFo33aNXlMleg4ljMk71b0bS3TS5XgPUabj3+izjOpuwKSFWmeubtRrNU mywjQO/0wZ9Bh4gXPUqJhBtfW2WVwkl92wLbGHBxvviLHUX6/3mmNAY0mre8 +z2eeGpoQSzUlibkfksl9YX5LrHwmWlBbywl+ehb5Tgw+CywYnaje+a/4l6F pUeCtQb60IqVByevQtcLNflDH0n9iLtaPPgURfTu+od43vIb8ZDuZciUXdg7 a8eq4cAEmBzhxXC3onuWax24BtkfHzSIR6M5kh/Cb8CJ6/vWHI9H03pant8A un5vYA0brWjqJp0MDamifwRloVmM07nJ8NnMLmboLulXa/kyBaBy0pLXS7yY tjsdRJyvFKwcQjPywq+nw0uJFfMCR0me/XQoHVyO76r4cwptFqhqwIFIhQSZ dPE+nFdO6AsH2s7/2em/Dc3i0A9kQqZGzZYWQNP2C8IzwaPTNlpDv4/cT15l JtDoLN0BU1Kv1SaVBcofqQwrZ2LN/LYs8DHzcN0YQ65vs2XeBHGFnLG+PrT3 bvqXXGDYnO/sHUJrBPWo5gEzxqHx/Si6aN8npzxoFZLJ6fmOlpBb15wHaf3h 9h1iH3B/oowH+aBedFzwShNdJKedUgAmO9VvPwlDiyyOsy6Cs0GiSdWX0W4b eH5FUFTef5EbjaYtULtRBJIq6U5VbPSg0Y3uIugQk5C7X4CObZ/wKAaP1s/h xc3o3O3pcSUQ6V7uylHqn7XM8Jw55fCRURi+UBWttd5mYznskbmZf3oj2ruw /2A5CNcljBpro0XWPCkvB38ln9NT+9CKfg4eFeDavemiRSD6zdYlHyphh3XR zbkv0W6lz4UfwCTjdp9byMCseaUwwoWH2Z+S/cLQWlPLRKohVETN8uJldNGF n6urQfxFQXVWPJomNWlbDcoOd9K6ctDcTXE11WATXGxr9QL9NWBpxhMov1fJ 1101iPPy7Ox5EKDw/bypMlrFxCqAB4xzWn8d3oDONTW7xgO+wb28gC1obtJe igd9r+9fLDdEs+dtgxqQnHzE2MAk5gQr1ILPJl6Z1FO0caF1Sx24aipy4urR BeykiTqw3RoUIUah3a7WLaqHv7Q1nYTb0NlTnYb1IKyXvWh0FM1Y8/ZhPcSY hx2vkRuatUf7ltRnwLLssWYooiNX5Nx9Bkzr7TserEXXF0+8egY2dl+lizXQ HWxJ0QaQP+Jck7IbrcR18WmAfG99RR8m2ni+EaMRUpichWN+xCd7bBshyufn pHsw+s0DONkI3mfKBA7h6O3O5hmNQGcpBRqlocX+uTPTCCqhLNfaLLSG7d/L +CAX1mG+Iw8t4z6wgQ8zlxJU6GVokY+ytnzgxcxtXd2AZiXtKeRDRZxjdepz 9HhGTzUfcuMfFsi0EE9sbOVDxHWf8+I9ZL8lw7/4YJHepzH9D5rj88hQAPoZ DHnfH2i1uIGDAtiSlbJgnPYR1/Ov8hSATI5V14eFaJ9PnrEC6L7Di2hahVbc WNIkgBcjc4c3rUM7H3zbIwCu2i7jBDW0m3bemAA4+TVi++noN+lbxSiIHZrn eXc7OntsQpaCcyq7BbJ6aPkL5usocLpVG9VhjNZQ+MygwOLD/FEdC9JvfKMJ BTuV9pim70dz8sXsKFDKrBN3ckI/PJfsRYHkuwVeT4+h688YBVAwT9HguZIn Wm1hYhgF/an1MQN+aIPa8esUtHaIjBsEoyVbaBkU1C03NMsPRScY3cqjZp9P nkl4RqEP7Su8RwH7zW8nqato/SaxagouS+9t2shGG2f/qqPgeGJD3EQmWgxi mik40Cw6YZlL+omqv6XAaKmRRXkhyTUPdFOw3SKiRKqUnN/TJX0UqMU1Ljlz l+yfZzNIgfyLhafaHqFT9NcOUyC2yPiV9lNyftbBYxT8NIncnFJP7sdC+wkK RiL58b8EaF5g7VcKuhrFvtq/Iv2ryycpoERNrLhv0H3fVb9TUGUYVbaqi+xP b+0UBXfCBZLne9Fm1VmzTqv73bdvEB2WcnPWMfNNW3aNkvObWT9r1q7oLTlf 0GxJjdl+3mFUosgU+qdE5ex6jk/FJ91n0D0qVbPzmAvvs2mc82nWZxL1Z+fV 2xFTofYbWjLBcHY/m2afoqLF0eMu/E8UrH68yG9sKTrBjD9AwdKZfa/NZNFl qQa9FMzViaWXrEA7JjO6KPga+OL6UiW0RkrpGwr67kt891mPNvjGeUlBy5SZ bas62kNEhE9BrVbcXbomWl5jkEdBhV+TTNI2NO8V4xEFtyoW+08D+uHhxeUU XP/HvO2gPtpHx66AgjOnXiat2IcOajFOosCtZMl0iBX6xcVv0RTYfbY48M4O LcaSnv39aXu9kst2Jvs5U+5BgeqdpYHzjpP5Ujc5UiA3Ytnu6oUetlpjScGP 483J6wPQuSL2dAqsth6OUw9B88/nrqegQKj/4uYw9GCm33IK7NnfTupEo7VG Mn8JoLpGzsA8Ey2To/JQAHJxWTo2OcRS8fkCYB5S23ywAF3wicUWgNIXnRUu FeR8o/uZArikeOTrmQZ00c62VQLo+TQ0FPwc3WNuLyYArUpmd2gzenu36yQf PpqENUR2oZ3HhZ/xwSQwh8OZQItE/O3Gh6WtI8b1csN4v17SYxvBI+O0nmAl uu9/i041As/jX/pLJbQK18u6EU7PWbymQx2tcblBphHaNDSnxvTQ2QXTSQ2Q HhFwU/pv9N2I9ovP4LvNnGR5b3RQU6jTMzBbHRm7ypf0K3uk8wyE76UGbghB G6+dmKgHl36uuW48mruWaVsPG3YsmHF9gB40bZCom31/uL3uDRdtO3j1fS1o SpqZG9aiRTQmSmth+wA7e0MTme/3IOtaMI1SNRrvR3uLTsTXALPNhO2/ZAT/ f201aDy4dzJhU6Q7mnFD+xYXoF3r0K8TaLadlBcXnuh3Xjjhg1aSb6FzoUFa uc0shNR3iV99DB2PKkOWJaJ7dim3PAKaaDs/jYs2YE3Y3Yc9mauOFUuP4jwZ whGloMkWV66VR0vYpKmUgmL0j763q0gueb+2BKb9W5zmqqFFlC7NLYFC88v2 +xno8V6xS0WwVOiz9S83NMf8vu1toH3rlFxygliiNzcfhocbXimfQrM4xdN5 UPsm29wsGO046JqVC/5FtiZZcejYEm3RW9DtwNU3vI/meh/ekgF868I59o9J PW19NgfuGt14wuShaefWLuPAVboPI4UieUTKj1TYtUhl+9h7st6Zv1qSYNO8 ZT/mDJJc3Ok1G1b8ELovM4JWXGDZdR2+97fT9b6he4IeTyfC7aqYzYkLx7A+ v/nEVWCXBU3kSRAPHGXHQVi+e3HVMmL6/LpYsL+2c+PgSjSjR/tYNBhFaoz+ VEJzR7V7I0ErVKFwsSrJo6LcI2DxiW+qf2miWcEGieEwc7RvaN82kh95qH0J Pto15ToD8WDSxwvA23VbOdqA1GsluZ8HPwWH1e8OES8RfxYMTmYaNh1HiNde 4AWC6XmhK69d0bRa6pU/KA9lfRZ4E8dc/OM0LJH3XfvMl7j3iZ8P/DLdbccL IP7p2cKE5rJB7v0w4q+/J3oBd+De1/LLxKqmTz3gtlyESnE08SlN6eNwzeTQ oYJ4YmXH2GMQyvojNodN/NBN3QVOlM48zUwlvtI57gR2/c+/pWYSR+x67Qga xkyHhAJizcfLD4B8yM74mGLiq/33bGBBiWTdlQris/7JljDR92H6wgPiFesf m0GXdKX6OS6x1Zo9xtCwN9wpqIaYzYzeA+XBdtf8Gv6zgvlO4BSpNjCfE0tw pHUhsvfHL89m4vp/fbXgjJTgT/c2YrOm8k1w1DDNxbmLmCaZtgFMg7ySHHqJ FeWYa0D7fwzBgUFiR4t8WVB+v1jIZoSYe5YvDouX9WqaTxCz3t35V+fnnjI3 42//9ZMyGNTR1Wy9VDv9n40LX+j8H1G64bo= "]], Line[CompressedData[" 1:eJwt13c81VEbAHCKsgkN8malkKKohJ6UsklGybyJKDNbA2WPJCJJ2ZIIdcl2 ExnX/VlZiSTrNUoZkdHrnN6/7v1+nuc85znrfj5X2MpZ32YDHR0dPz0dHfr8 OsJbkbRh5sT6VzrtvNbjWqIjh/mZsP0TKjcBpYLW8ojln98r8cKR88VXt7Jj C51cFoTcH882xnJiK8tY7QWRsJCnXNz/nCctAwkiLkejeLFDbwUcBo4K4zbW 7djGXWRFCDQ6aR/Ghz1HsTkJS98lGDcLYI/b2J4Bp1Du5MBd2PINQxowLLws v0EY+6FIny6YlH9r9xPFflUtoQ+ths0Oq2LYreZ7jUD1O3nTTXHsilpbY6gI eZqyKInNdGzKFA4JByt47sfOnSyyhOdlTh9npbEdV4cugYDhBafrh7C1Szms IWb6BNMPOezXWRZXwFdoi9LEMeyhQQd7mCtd6rRVwi5a2+cE1wyGnEcA2V/D O9QFjILfpA+q4HgNkeUGTYJJxy1UsW0W9D1AuTSwu08d519L4vYCqSkj1m4d bNW25htQYqhdHa6H82u9Zm+BSuUpNzDAjvc96AcmUdJ9mcY4X+nP0h0YXRC7 f9EUWVkDlALA1VJAhd0Cx9O0wgMhTIb5pftlPH6tViMEeB//tRC/gkyJ2l8e Cin0C9yf7bCfGsuHQ0n70A0VJ5zP0Gd0D0bdKzS5fZBJefIcMeDa/3qt7ibO z3Ccj4HVMy9e+/jiOFl/KBZ4t8fzfw3A4wMYaXGgUuo8kR+F+/veOvwYUlZF wnUykFvj/oSmgtQVPqB/juySx7M3Dd4SnL/IL7BDouvTgEheuSiQj+ebiOLM gNWTXRKTpcgy5wLLssAkOKwxtAV5cHjINRd4OGeYav/g+hKa98jQXhkeorGK nP0oaoYMMQ5im1r+IusVyxsWAXeTycZPDD/XndCXLVAM3EF1qz84kL3zrAvf Atdy4q+dosgk3/yRMmAbO/PZTQvZjNKSQ4HmuEGTJR1k9erGfgpEnr7Z66uH XNCXyfUOWNMKusKMkMmWyx7vgMV8Z1uyJc736YcaYOqYqaO6IUvNpNS/B4bq J/miScgMZXHPP8AnpdPqX54hr3gHdX2A/LKpwcRUPN6dlbEeTIqPc3M/R+Zd bCfVQ2HeF3e618itNkI8DWCRJKrQX48cGWN8qRHk+JvbE5qQc9cmQhuBOcHd 3pCG11e9nN8I5Ni6JGo79qvYlUZgjbD9W9qP64X73W+CEp+XtfGzyELqN55Q Ieq3gbn+ArLewO0yKlz2WJlnX0KWYf3VQwWO6zp7g9bwfrJI8jaDjd2PMDfm X+s+TaUGNIPC6CMRaTbkWjq1Z83AZa1cPsGBXHBTuqQZKiwfTF3iRf6orDbR DNwXZM/qCSK7fI5Uo8H4x74xVhHk4Q4HcxpU6gf61+9GNh4vcaWBnW5nIUgi kx3jntAAmm9r/pFCHpwTy6cBj+aeb0XSyIZ1IjU0qDrjxbv/MPa7S6M0ePhe MG/8KLLQiYzfNLh6suFMhgKyXI4BEwG8x/m8dioj6yn+2UuAvVx5L7MW8oyj E4kASmtnbokOcobyqAMBWx1n/Gz1kMWJdm8CqjPF9tQZIX+uY72/Xu+U8pKb Ma7He/ExAVcHTJpFTHF8RCCdAJ7t0a7+JOTmbSxFBNi9yTkjfRk5OkiukoDK s3U7BmyQ2eK7awngnvoyGWmH5/88SyXANvRPlaI99q+wdgIqdm+NmXBElvJM 7CFgyztpm8cuyDtY9gwQcMVcU17dDZ+P0f5vBJQvWbP+9sD9MxaOEcAV7zeQ 6Y2c3VA4SYDNocRCw5vI44YyPwgoI8iBG31xv1b7fxHAad9y4bU/Min/xRwB 1psnJC8F4PNezlwgoDSdYY0zGLmCTXSRAA5lwbaqUGSzl8JLBFz+fCzDMQKZ KyNt3SXehl4CUci767PWzb7VWZMajaw9fmDdVoVh/7kRi897QHG93tv1Hx/x eGTrIGJ9PraJqvfdCXi+0rH1fi4F98YHP0GmMw9d77dYZO7q4Wf4PhkUrq+H tZrj+HAK8lzA5SkCSKYSXLHpyD09yeMEFP1W+XYyC3kFbIcJYHloUTyTjetl lX0hwFLGJyz5Jb5PdE8+EUBujjXTfYWsfIq5kwDmq6+kVwuQcy9vaiHgTeq3 TpNifL77C98RwARr2cylyEqtpDICzD/tuFVSjt+DavprAjbz6Ipse4fvZ+lw KgFm+Xbzte/x/lFGEggo1ApocPuA96vg9vp9Mw0scWqj4v1w9bxJQIFQx0l/ AlndvNeFAMbKaV7pNmT/S902BOTPi5RHdiFTFrJ1Cdhoe2+z+lfkhEuUnQQY b8z+tPANOZKPn4OAvOSavMxR3E/EdjoCLvT8Ntg4hRy4Rv+NBi81rFKqFvD7 /vsmgwZyUsJwYgn388I2bv09cgz2VS/j/XnZHkSD1g7z7e/oZtF9NWy3ocGc +cWo9yzIQmEPRNbft6verYZdyOKrvfebod6Qk19DGHn4ofOtZtA7SrxtFEVm m2+yawarFa3ZJnEcT+tSboaQYLVrtEPIAjkm36nQmgjG7arIU0f6TlDh4u3V eX0N5NCkoxJUGLKsiO3QwvEeW24qzO1WaPmoh+udUBtuAr78w6rdJsjNXnzB TWD1XkrusxPyYG9dTSPMT/JzjcYjBx7oEmuAh0/H6pMeI5MO0jM3gOxZsp9B EnL08taperj+WucHJRX59C261/Uw7e1PPMlF3tH/U6keRhhHI8/VICtNM+h9 gE7BQubKaWRjaU+XWigyUNv48PQcOj/dqWoKhGqVBAmoIWeQZTMpYKYiwZSp gbyYGRFOgQ2yrOzFusg9Dk5GFNDlbtnWY4ycwsvVUw3jreclBRyRW2fjjlUB v+6VcxlxyC6RkQLlMH2mu0MqATlBX2WqDCjH1c8XJSIXqEtWlMGV/ZKmH5Jx PmO4WRm8YftuPf4CeZzpcXIpaFM9vKWqkL1DZKRLwE89KJk8isyl89ajCNot 7Mxk/ovj1WXaRbDbQ4svdxJZ2euXaBE0pW6JTZ9BHqT/204G3uWnwTF/kENP RsmSITuv2NGFY37d8l+j1l5DK/e4otQRZKYbIhUFICJBXXwuj5xwquxxAXic eFUkqoicfTLYqwD4HdyldyojjyeUyRaAdR2dKIsmst7X3eb5sOjFxzJujuyv +tE0D4T7NXvSg5ALDHozXkB4jWK+UShyCvu07Qv49VwqeHMEcmuT674XUOPK IWcfjeO57W+ywZqp/f6hJ8hClj2NzyFb9qLauwJkOrZElizg4tPc5fYGOzLx Yyb4rCnM7y5GjqbflJwJmo0C6aHlyC6jOw9nwqTF4NrZD7ge35ErGXAg3LZ4 oA+ZRC3qS4N4Z+N70QO43037ctPgr6GG9amvyDPqG2+nQavgPu6sUdxv+yfB NLhe9N3R8SfO99h+LRXIgx5iK5sWkLPPcaWAwtHAh3yHkFMK9io/gS4rviNP 5ZD9qU9XEsEt6lW30FFk5dG00kTIHenhF1dCpmSdP5wIux7uTz2iikyS05Z9 DBt+duUZmOD82/nqj+CZgMPZbjNkochX7I9AUZ3+p4klzp8+0BEP7sn75Kys cb56gWU8jOr4l7k44fzJp75xQM2RqL93F/c3f60jFuy6quy2BCEPKu5MiQWG DYYscSHIdE9OOMYCXPTVSYrEdvjKFAsFmzs6cuKxv7ueiYGH1rcG63OwPQU6 osFsV8sSfQd2m75nJHDwuRaVd2LX6IhGwjuerdc9evB6Dwq1RcAeZtPx8X7c r8lp6Qj4MTva1TKO45MX5sPgbuPam6dr2Oxiz0NArjbV+QL9b7Sf07WkEBir Or1vC8Nv3K/QzhDQJoenBTIjUxoZYoJha/K2B/a8OH9WPzQIst0POB2TxK5O iwsAE+c2iVkpPP7sCZMAYL/mPpIrjX3HVxD93ygzEzqM3Tvw8i4oaqpqbVbG 9XXWqHeAELQQ7zTC8UPe4v7gz08/HGWMnSo67QeyWzOS1U3xfF+cwv0ggWVi WwUJxymnGnzBat6DMd3+Xz/xerdhvunekMsdHBcrenADPrN22q0EYPOQVW5A jbbAj5Dgf/HABR+IJnKWn0Xg8SzRFj4g2V7PS4vD8UFheW+w6KVXk8jBLn/A 6Qmn+TVo5Fycv/ye5gH7TKMNlPNxXDUn0gMWP+8iXSDjuFgkmwfEDCr6BFVh S3jyusOHMY+XX9txfr+niivkilcedOzEvrCbzRVirzKULHZj73LovA6kyZha zn7suNqr1+HP9/z+42O4Xq/zYxeQXvgvZ+Lyv34H9jjBtqMH48XWsK+JNznC ipe3QCHdIrKhj5MjNC1tkmhgxO7ZU+YA1quipxY4sfXszO0hgcHCXX83toJR mx2sXd5+uG0PNotdkB1Yv2+dPyuB/R99BTuQuavipXMA2y49yxYa/orfUJfH Pvs39Ar8/jPrB9rYXm2u1mBmkqdcqYsdYSlrDTWlV+iVzmHfyZi7DFHevXeP ncdO0/K5DHsWqoLkSP/m6wu3gvM/wyIk3bH3X6eRoEJPRfuFJ/azuAQSiBSs sIn7YA8bWpPgu5NzlJgv9pzCsiUETRk+EAr9V9/QyQLIY4KPtiVhJxWHmQK/ Wu+FuGfYgSMHTcE/K2YHbyp2Dl+fCWjbMCZuycLODpYxgeGhiSS2gv/v55gx 8AwUpW2oxV48eOc8RLHdvv32A3aN0aHzwKJ42tihEbv15rARbEhoZ+8isP1r tIwgop5DmKcTOyE6xRD+B6dlpAU= "]], Line[CompressedData[" 1:eJxF1Hk8Vd33B/CbIZLMlSZTMiZS0XDWvhQyVVSaKMNDgyEaVBRuiiQVJSSV qagvEkJcY0ShzJWiIlMUyhTq/p7n7n1+/cX79Vlr7bXPOcg7uG914mEwGC7T GIz/fm66vvqmecs4899fN0vO3o5qy1W2WAxwPTFz+lZkPjygyv+D64yxcktU qZDDlzfMdXJuoCUq8jPMWzzB9Y9HQpYobY3DkjG+X/9ZetlCCxSSemvy9nyu 5W4/N0eCHxyaty7iWrF+nzk6L6T2WECO636ncTN0+kDu/iNLuE6O0jRDzvJN dQZaXOs9STVBxjdEkvsMuR436jRCZc+a/GONubbxDTNCej9i9lqZcb26CRkh 3S3qkkUWXKs0xBgipRnGvtesuU5JdTJA/D5nt685wnXlgPJ6lDXU/6voGNd2 f3r0keP+XXeNTnAd8+6hPirbovl122muz/dr6aPzCq1+hwO4ztU30kN8lav/ l3ATz9utDCiLSrRQi+G6tqOYQo6PRUfT73AdWmRNobLoLr3CBGybG+vQObfw 5repuJ89dy3ikRycJlLKNeOZlS7KuGCdFF7GtfEtHl3kMPXcfEEF16yL6Tqo tPN2pEo1zqNFdZB/rpnGhmauBZe3rETT9iXtOvUVvx/XO9oovV7iz59+3C9v rY3sNvomBAzg8/KltVGxltX3a8N4/ysRyxGLl/d86h88zy1GCzEe7HvULjHx n9MP3dZAz/vfHL47G/uVsgYK0bJcZiPNtVZv5lI0N3dDatMirkOV69TRsgqV /1WqcF2rLKuGhoXinQPUcR6ZrYryNi9QW7+Ma7urW1SRYfOsB/kruGbwBKog m84f99MQ7rflU0YKqq77XfRxvU+SEupx7VyiYsD1p19mSujY8JvEOBOcT0Ut QcG8BfHh27mWS1iviJ7KX7jj7cy1WHCtPPJ1YuzTdeN68MgFeWTwwGvRsDvX ekeZ8qhWyzXGzZNrj5QMOdTDtIy2Y3Edq2smi9LOvdy96Bw+L+eFDDpesWFe SwDO1U1lEGezTtS2S9hNFovQnH0LIowi8D4exxegD3HhVrw3sRunLUDxnbNm F9/imjUaOh9puDHC18ThffZmzUMGZzrDlqbgXEBUGh2NfnRZopTr4ocis1HO VPSF0jI8rzJbCk3tCzx7tALvt85OCl1YvNezvho/L5EcSRSTIrT32htc33tM An0WGd2xvgXP11SSQEpHPlv8+ID7778TR+mrcg22tuP62QbiqLzQaanEN1zv oySGhOQtlUoH8L6Jz0SRxTlK7ugPvJ8LJYpaNkpK1Y9h664UQd9riyfDeCa5 /QPrhJF0x4IqcWmu9ULuCaK9hgLlJfO5ZqStFUTxST8KjyzC9q0TQEtdX2TU KeB+YT4BpD9yIjpMg+ti6gw/CtzpEK6vhS0rw4+qn266MqSN57NK+NAOX0V/ y9W4P0GYDzkL1B8S34Dr32XyoEeHCv4pMcT1YvY8aLgqee8RY3z+TVEe5Bfq Z1m3CedXPKah8Hkaa8J24XksfQYqUA8SFD+M6/t1pkCncW7NNQ+clxVNQvqZ pDCpY9jOppMQX/N8vvQpbBGnCQhy59eQ9cf+mTYO06RvDMWex75hOA7exYrZ Chfw/MbWMXATN2AqheBcSnIMtmb6W2pE4Hzy6ghUWUvMeRSF817tETDgi2/R uoVz4zfDoGtV8s/KWGwDxWFYOMbxXPcQO+7VD+he6xNtUoj92G4Q7DqEbauK sXdJD0LLpZjFm55hb4wfgOoP+SkWldiaId8hw3eicGc99phXP6grB59714gd P9EHia/nGVu/wd7j0weRcmvq9n3Azg/6CmdKT3Y4dWFfz+6BEWeB5O4e8n0Y 9cBhyUjXQ33YkW+7wd4xe8R1EDt7WjcYTR8ROD6BfexgJ4ibHl3qLzLFtZN/ O8SWiM5cK46tvqQdtNak9g5JYke/+AybVXru28/Dtpn7GYKn75PXV8Tec+kj zPOd5IwrYQt/bYPkkai2dFXsdLM2qPjScEtOE/vU3Fbge2Yyh7EWW7C2Ba6v 7R7OobDLDFpAIeN8gzsTW4T9DvTiikI/GmDLZbwFH79VM4u2YM/Jb4bRdfIM XyfsEN0GCMgsbFt1ENuuth6k1G0KvjljK7nUw4r5kd57PbD3368Dj3HhEeo0 drN2LXDcHzYM+2AnZ72GK90bM1JYZF+B15DS7O++MJDs+6QGerPGeydDsc3X VMGppRGVmdexq+NegmDiiiSXCGzjWS9B6fphx/e3sBv7K8HhyJe2vPvY0jXP 4YNGbYMXG7tY4Bnc7RP34S3CHowtBYcH25Qul5B9qFLoVXxzKvY59peTJTC6 oG1RRS22I38x5L2TrbBowNbaUwQ+kfYeLU3kvNRC4JPsLP3WQs6zKQBxof4D Up3kvM950FihIX6nG/uTaR5EBbjnKX/Fzs1+CjLTfgqvGyDzInOhK+xYuej4 FHM8wcJ/U1E2GHUJTKXN+s3NLbIzYEaiyb3VYtgs4wyotr+0uVQCW6z1MWxr FYlrmosdK/wY7BpnG03JY9cKPgLFazsHAhRJvjkNurfcjBJVxtaKSoXDVQv7 FJZiD+qkwOnSxaEmOtgedx8AYjmtaVhN6nkeAA9KardZh804mAxBT9VWeehh F0MSRKQvb4kwxdYTuQfpd5iKX/aRft04+On9U8DenuQvY0FnZ1Jf6z/Y6bax kC8qmvnmILmvwl14zmrTrzqK/WlRDAjuvbbE2JPc58AtMFtjNKP8JJn3JBpq h1JrC8+Qfuub8N7BxzYjkLgpAmSYyzdoXiT7QwTYLehUSrmEbZd8A7oazL/f CyXzgsJh0GChz81okrtfgxXytXZzbpN9BsPgxO9zBtfvknmeYTD5pG/m5URs ucBQmK6cH81KI/OuXwYTXnff3+nkeZWGQMhHBQfvTNI/egnEo4JVj+eSetdg WDhjT+6BUuLQC2DbOSvmSxnxl0CILynxs68g96MCQdlbdaN1NZk3cR60+8ab NjeTPN4fPCtSnla9Jfkcf8hNsLtt/J748lkAm0rH9Z/IfQNYYFwT+XPVV7Iv 5QPBD8zeZPST+t1noCaAk6c5QOxzGraiA/6qw8SvvWDvIx3xRX+IC09A9p5x kVrGH+wRTxCZnid8jhdbb5UnFNuAYK8gNqv0GEgLcvhjZmIXSx2DI5nFvFtE SO50FBSEDDhZkiSXPQLeT/h/H5hDfM4DGuwqJubPI/Ut7nA+x3SUJUPOj3CD LkfLb+aqxKcPARKT7OOok/qQgxCZ39iTsYw47gAYS+z6Ir2S1H9ygtiCee1V OsRCTvDr4PuPvmuI1znCw6J9778g0v/YAXhc5N5F6pN81B6s57Q3mxqQ3Mge hN2c6tNNSN5qC4fnu744s51Y3Bqel2tUaO4kHt8NskcGytp3E3fsgtqKo8XG tsSdO0Dl2MrCSXviPis4KzOan+ZILGAF2p5eOVLOxMxtECy37kmFK/HhrdBR NZXh7U4cagnhCqy0T8eJpS3gW41+yvWTxGWbwciL96GRN7H3JrijWJ706wyx mjmMvQ68l+JHXGwKFqeNE2z9ie+bQLKSUJxEALG/MezxuRxzKpjY1AgyVLZE q18mNjCEmY1iUW1XiY0MgK0Wft3gBvH29SDVbBU2FknsoQ9uZ+defRhNnK4H Mm+jg8Vi6fsgYAXEnf3wkDhoNcw6KWBqn0q8UheiD7pJdD0idtSBTLM1CQNZ xHIrQQ/uuhzPIdZaAdXL+Ff+ekpMacNuOZcpHza9/3LoEq8r4yki1tOCo7y6 ly+U0PtoAmc4xkq4jLhSA0K6eGTCntP1S0H67cGu2S+IWWpw78WrtOgq4lOq oJ2/8qTsK7peBQpTopmJtXS9EpjdYQiqNhAbL4G3V/fXpjbRVgTHs9VR2m+J Vy8GX8coVaqVzuVBaMefoeKPxIJyELnRMc+wnb6/LKSraZlt6ab/XhYALIyQ bOyl3780vJw19X5XPzFDGnZw7BNbvxMPzoGOwQpXhyF639ng0a6xqvsn/byl YKrh+m+XUfr9isPF8l/lg+PEdmIwJ8f2iuckfX8xSEgu3zHxmzh2FmhFq8v6 MThkn1nAvhTWzctLLCcIJj5jj4L4iWMFwcHumd41IWK76XBmw9W6W6J0/3SY sWrkppwE8SdeiFCydrgnRefTQEG6RE1t7l8/mqH8M20efR4DqMmQ/BULiVkT VGX/j3O5MsR6E5RV2y5zkCdmjFHtrwulShfT+TDlXqLYaqREzx+hpjKC71Wp 0PU9VFDioJuFOj2/j5odsUOnSeOvl3kpVLRp0+6ijG2+7+zRpfv7qcZN2+Xc 1tJmMOyZeT1DFO0h6ruW3OMTTNpZlLdCoNekPu06SkCqX59lQDuZCuffKsS/ kXYDJTeWU3/RhHYHldqz6JaIOe1QdtDtALu2zbTbKMet35akWf6dpydg1eez nXYztZDNTt+0k/Zz9riH4olFe2iXUfoWK24ssOEwS2TSvm9Jf8ZOa/nJKLCl 81dUUl7nks32HCanpu/HzF311OoFpy74OnKYR4MuT7Uq5lDrf6lZLj1I17+j DO/cE9jhzGG2mR3UjCu4Q/1ymHhf5fb3vMa5DnG3PGinU+nVL/a7HKP9kpp5 iUF1HOcwD5XdEnefXkCpsO0nhLw4TLnHnOqgqRy2QR8jp+U0/b4HqWvrWS4X fTlMtPi1Z5FtNbvst3fjeRaHWdc2dEAu6Tl1/Wm4iXMAh2n5c1q/sF4NlVF4 t3reBfr76KKuHBO41nuRPj+X7azivvNpCP3+69lLeWd2nLvKYY76PX5i+r6f rTnFK+EVxmEeXu3Qknm6nz1ldD9J5cb/fz/srHRP7cpoer8udnbdS1WJ2xzm ibd+673j69gu8w0LDsTS572ljF6n+Osm0P7IDv0QpyF9j8PUEXOsf9nczm7T Xjg1msxh+t8cHA9SqKdeOni+2JPCYQZbW2k7sp6ws+LNok6k0f2v2aE7M/ca PabP/0yd2mInPCuLw/yianby1UgP27jEv6czm64vpWpyzfekP+Uwb2uGe83W GafGvrIMW/L/fZ5Lr4gq3MikWj4+XW1VRNdXs7PD5f8oltL3/UJdM7n4bLjs 7/soy3i88VkFh9lxaf9R4Oumqv0f9Sm+4DB9x4XzeRw/UcHp6zMvVHGYH7cq MFv2FlBLDhZLOtbQ81+w5+f42MrUcpgqzqO828Q+Ub9U+jTfNXCYYnz6Ynyz m9i5gWP/NDTR9SnsO79/lEu85TDn1lzMh4pyquduX+Kn1n+f351NCUozqymz e8uy1rf9/b6U9kR4SXwm9vhJ8Yj+Qe0d9P+zPvZrj+F9CZ0c5i6W/NeLpp1s 5xC53xd7OUwHUeXdZ2P5C/zy40oX9nGYkQ9X8nkl8RQMZQV+rfrGYRZ2rOqt Vf3I3nnXz7J/iMNUnNNqNRi7HFTMXT8WD9PP5zv7wJL5oYdHOUzepxESiQ/r 2MdjNnZtm+QwveL/aJxplixgOydoav0m9ZvFCyJlZ45wOFzrLRe7DP8HQDiY kQ== "]]}, "Charting`Private`Tag$29974#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJxF1HlcTV0XB/BTUhEqJdUbShkiSQjZy2lQEiJJhZI0UFERInSLBtKkVAi3 SYMi0nxOrmZKKkMpNCmNJEVUvM/znn167z/3fj+/tdbZ++79OQo2Ljvt+AmC mM5HEP9+G9p11fK67Tb88/NbwmKKzncPEDBrWUMS6+SzHOqT6IZlPbdOu+mR IwF7euZ+uEML71TLzxo3IzNa8t/u/XyG3vKi/tEtGVuS+PfTvI62UzrI3fjE nryyQ99FJEOMznt7uuFUtTN5oT2vWd5Mku65+LrkQKQbU79DiM5YM64+JuVO Ord0VZWGq0OJrmxOccxJJj++ntaNfrHP5oUHedJV/f6z0T4Uw2+dsiDek8mv K4GokabtZd9z5Jeqf3YzQ4F2F+dc6HPwIve9/XFZO/4/9HfbkUntUt6kB39H hegWMVpfIHDbiOAFMs798LdlTbNASsNfN0jmItno+/fv32FVumK7rvqZmb6k 7/viZzG82bShaCoqjPFjnqezCJC16z2HFj/yz2bVdwbtCqD/Ob/l67xL5J6V 3NA5XEFwtrJ65H/gMlMfqgjpd4x+e0gEkku+75Y5K60I+9/YtotdCCItS5XV Phj/osxL353cnBxMjuot4Nx06qNsRCQD83xCyO8NAkmmpg1UXf9+XtOuUDKi 5kbt7G4JOPlALXzLcCjpLVSiY3C6HS0TInOrq8NI2c+BX8q+f6RM11Uf5xlf JUvK6sWXihF0TyI9ZbD+Kl4PAaWWggaFHuGMKQmoDLj6JPNdOHlXNYes2NyP ciPLBBZYR5CDeSn339lUoN2+LfyKe68x9a6DlNjaVQeyhCJJQXtfncL7fDBt 2M2rICaSyQmC/pyWT/tDFH6eBGxWCnEVoaLIVun309riJGCP3uldtyWjyfLS K9O/nhWHxqiLBl6W18n760u8TtxRBpMrH7JzedeZfkllKLFFporj18lJ9xwb piQthiljR1ca899kcqV58Ckzx21OPHaNDDxxIjK6dWOwh6gbipu/ZH3C5kjS G3/K9RiF3yJNDhatSrP4gYzDGx2NFt5m8pY2dHGRddTCjNtkxP7xpcGK45Tw JOfPnQ53mHxkOn3MsvGqhQCX8VoRsJd7M08SuOSi3A0Bfneb0cKeAvWMNC75 fHTR0S225UjTbdNA4DCud51EL37hJDqoF4tN0LOUQ1XNI7HV+Oi1npVCi9pj Sf+c+/f0e/npgZYGZ6U1cUzOHaA+ovHAy/7YRDWqjFa4N1DPuo/KHdJ7vntx PGOtFvQ4aMYY5RFPxmlXDogSrSgiLVhY8RnOXScDv9nW+MfLEkj+sIyAwuZe 1JBpHpx/PIFsFDdaU3frG6rzdeluKk/A80Yoz5JthpPnJeLz5QelSSr3VE8m Tqy/SnvqNPMX2MQQdYLT5eytdBe7iJr7pOxFqie2/AgqG09QfV2HrfWDckEX QsaVk/B+CZD2PDCw0BubM0bx8kjjHQ2su9HhkTmPTi9PZswbRzPXjM2M98Mm slH+icbjVR9YP6cOPs59PbwqBfs7Ne175Op5V7BrCMhacSLSoJ3NvyErV5Of bpqp+H4MIsEHK8xvhmHL/0IP+kXzSrqwiTZkrvJF5gt5D6/vLUU4VZ2ZHYWt 1YNSUlKbtL5gW/9AO7sCkKNeGs4/odGFDrfCY9Im9pdgp/eH+o5NcKmtCYr7 Ow3T8X6H0XAbH080Lp39/9BthRb5db+wOb2UvnWht82O+xP34evtmLbAJGyi FkV/OKOb9YfNx5C2nEXCR9MHuL+e6tmzZrJwOrZWL3peNTVTmj8D523U3L7T B9OXse5Bx0S6JXQssHkDqGyJecnbixkT/bKG5e5OGdhEPnI5rLGAeM/mbagk IPFNhNBD9nyQdLKkn/JKbF4n5Vx+QaPQis1/IV7nYOfOy9hcPpAUtIn6nMXm DejwgtpNZ1tZp6HCjVojYtMfYX+kZto+SE5ci815R9lfmGuhacvmPaggLmjK yxDW9UisaCzvYAE29yeybXVyHOlk8wSUSzTJBs3MxOttQdPkDSsVNmATX5E1 meeZfZj1IMqyWqyy5Rpb342mno9638xj3Y+sbgkGufdlsvcJPaJOwBTpx7if gwTff+q/pcu6Au0ZNbmt7oLN60IPZIuNym+weSsS0FT/u7fs/za3iH0w8O0x e97oa9OuqXGyWRPr8bMStjPRZf2ZkmsteCLgjE2UoMyDLrLZEf+vN+ycf8KB ZnMO1XLo7UvpTtaN6FTvpSXPZ2RjP0IzjoKv5xrWVShxYKBZxXrCFDqeoPkx gPVz6tWw2bWQh9icN8jRQ2RAq5F1DcU3Wmg4yJ+DXUdFnzuWGL80Z+J8VYmF hOkubOIVVerzbo/gOdbF1L7JQVk5iWz9KzToryV2uJrNX6JLU4ccZX/mTJy3 fFBSaeW8XOxclCO6V/6cAWuCNro6w1PVDbvlL9UhWfSm+To2p486G3VCLayI 9QglIascqNPL9ndTqTHvO75L5LHvA0prXqhWImL9nqqP1b252y6Pff9QR5V+ DgsFs26iBJJSd+Rls66jbipb3XNsxuZ1IPU0cUE54Xz2fYGeqZZav1DDJjqQ 9UOPgvMW2C0/0I+VKlJqPtjyBARlN7u2prL5OFJaF1559RU2dxLkF+gv3DiG bT2CjDf85gwrFeBcALp46U13t2FnCICX7gEN85PYhBBIlUmGTbnD1gtDmkFF b345drQ46FZ66jsPYDeIQeO25bFzZCi8P3FwrWkbrdbG7poNQiaRuzmO2MJS cPvN5ocrwrG50rDafFykvQB7sRxUNWbYR3zCNpADG0vbp3rTaTxvLvxqni33 czW2/HwItak8mWyFPaIICzvO11r4Y19RAtpBXUUkA1tsEezq6fCjGrBXKUOv 8/XWI3yFjD2WgM/XrWjeEuy+pSBzjIiq2YntqgoZQ5nfvD2xG5bDplMOW1cm YKetgI+/ZJM+VWGjlSDy13vfprlPGBtqQPRhMysVfeyNa0DptYq1+FHs3HXw cAO/zY9r2BrrYUNK/cEmGvsRgkqJdDteB3bFBlAhn2bWCfIY+2rBsaF7q0pl sd21IS8lMitHFTtKB4j93hqpOthDuqAv6ZwTsxtbWg9endfO8z6P3bgJZFep aLpfxe43AOtuqQL7u+w8Q+g36aO2VGMXbINVU+phQxt23nY4U/i0UO0HY07c DhBSjuLNmvsU36edYPTRW1tYnTHnhglEhDsX/dbD+c1d0GhgpttvgU2ZgsIf 7ZLmI7h+uhkcylTRq/PG1jSH+4dml5Vcw/WHLGBoDv+mnBTsyj2w/lVfeQqN jfaBT0C9QUwtdrIlVEDRs+AObPn9YJocVXl8ehGefwBiLH222itgS9tA28wj L8xXY4/bgMs5nZdgiV1vC9nqy3aouTEmWu1g7PPs2vm+OG+zh0s7++uE0nG+ 6DDUCDWY/Obh3MgRpOii132vcR7mBPGLot/WjuFc4SjQYzqNN7cWMx5yA4FH y/YGWzPmPTkGhg7S7znu2MHHob62/4NdDPbWEzDXv8HKPAN73UmwRcXNhiWM iWWn4Nvd6NblfYy1lp6Gtfsu2MwnShhrnoHz4kfbJSUZE8aeIHJWt+PXeuyb 52CB8Zeu4kBcb+ENsl6bNB1iGctL+4BYOjdwag5j61Yf+C1somrcxph38SIM aKR5Df3E/ba+0GE7uTZqeinTb+AHNbyc4x/XluL1BkDpF7FSbyPGnCWXIF/O UWqBLWOt1Zch0UMuzykE55ZX4Iya95+RDsY110LBxapxe8woY9f1YWB7ZWUs KV72P3O7w2B7V4euH2JMmITDRinymvJOxqFiEaC5MbqzyoGx9ZsIUOIaXpII x7lrJMhUxzdmJ+PcIApmjI0t3VOI5y2Ohl9mD6q53YxrRq9DtaikpKpWOePx W1AMR+xqTbHF70CuU1m2uxNjLWkuxJd7WBREMs7ViYXo4dpUqzTGRHMsBCsu HeMrYjziFQceXh9uG/QzNq+JhyPpGgO9/BXMPE4C2DSFaIdIMxZenQjrqIT+ WcqM5YsT4b+SJv0R "]], Line[CompressedData[" 1:eJwt13k4lG8XB/Ahxa8k2ROFIklSSVHPMXYVQoQs2RKpSBKlDEm2GUqJyhJa SEJIWRqyJVu27EZJCCEphV73/bz/4HN9zzn3Ms9zQdLB3eQ4O4VCWb74BX3X FP2R2W9Srbb4I8Viz2NCWJxyaVkWaa6qdIL7oGVtWgVpytOnxK9HK9wnJkhH BT8jam09ci/rvsNOqs4iyiLeLZW0IT1gkk28fC1lXu5J2qg/m0gWap1dnkC6 /b8XxIV6FbXYadJ29DyCRyHvyzuuGuz7W/OJVLpixF8x0gJN+cQH/U0dttqk RTYVEFveC5yTjiE9x1FIlMlFrTFPJ91dVUhYhK1ghpSQzoosIq7tZ185Oki6 fGsJ0Vf1/VHO7vfYYc1MwnuTm8HAQdLW+0sJ7uuDPwTtSEuVlRIqOj1U3xDS QkVlRHR5TadaB2n2lnJCbqNOwNkx0gP2FQTzaummFLZa7JmpCmJMo8BrmRxp i/VVhG7pQ566i6Rlkt8RvRKSeQsM0tz6NYQX7b6VYgrp+tka4oFa9JPo9/+f Z1dL/C2maRwVqyPv166BuCk+NxSuSPqCYCMhe/lCZLEW6RG/RsJs35luidOk 35p8IJ6/tvL+Wky6RbSZ0BH9KLamiTRfdDPR7Wvy9sAg6c6VLcR/Kvt5M3nq sY1XtBKOL5XTvY6R3rrpIyGcu7qXja0B23K8i7CO+Gs6IES6N6WbSHb68r5S nvQ5mx5CXvDVq3AL0pPdvYSGt91twSzSTM5+IsTwAPfvCmza83P9RJ2M0tXO LtIT/f1ExrerBQ1LGnF9YsUnQvm++aNb20iz0gcIy5Da/muq2LTHcl8IPy91 8QvapOWefSFK9bfcsrQi7fZ6kNCfXwhYd53s9/o1RNjbPrJ50kvmVpzjRNCB tXFxw6T9C8aJR8pRLWHTpHed/k6M8lw8eHr5B2RmuccE4f3GQGWHMjaN9XeS iHta5rVBncxvO04RRXd2ZwnoY1OO1E0RbB6Sm37ZY1OFH/8gIiR+ChTRyTzF 6yeRyX3S6Fks6fSxn8SH373hCSlk/VLXGULoQzV7wCvS3c6/iAcB9ye0v5DW oM0S+Z80axv2NeH+DTsXiDa9gEm6LjbTsnmBmMksEdI3IXNf73/E7ksq9tUn sGn1DhQo4N82w7yJnWRbzgbtvqfW+sdjU4sk2OF3XxqVeILNKrnCDnsyNoa/ KibnVastgVdaohI5Q2T+qI0DOtPNtT1+YEt0UZfCH97bJxUWyHlDGUtBtWdV Xjp/M+7PCFsGr88vPZAC2En3bbig6NHEuVu3sO3qTnBDN7dCnEkiNk3wBzfM ebqV8KaT9Tm0lUCoDXLR35DmSeGBko9d8ddGsKlJgbzQS6x5q/kTO4qviRcW Uo4MsVFakD2apVYDeHzYcUUQu9G4ejW84aqq8qZiG73bwA+sMxxjSgexs3Zc 4QdKqzrfDzNs2upOfqA+KLJ2dyNzjRgBYKrkTJ6IwWZySQpB2cn4tZaj2Iqj QWvgxbCbm+0MWW88uQZSXVQLHSmt2HrHROGa88ejZwSwKWzUtaDnsPru1X2k ZQTFocHymkhmBFl/KlQCmO2HXV7EYLcfr5OALHOpgoIk7AITPkm4afbG/G0u 9m++REk4Yjwb095N1vuXS0G33mnBJVvbkKtfqktDXdXe41y7sRXNYqShRGd5 3kp17HbhUWlI1HpsKmKG7SJ6TwYcqP3RWy+3ke8/pywM7Tbjs6jDzgoT2wId +RscbD6S9euubYGaXVPZDv3YUbzft8DTnZHGp3+S+foqeTiz7V1UoPhHZK4j IQrwU4ZY9ew0tovF5u0AnzSqwnywtWbPbIfgeD1/l6vYQ4y87SAkYPp9Qxx2 e4r2DlBmc2u4W45d9PbsTvDpio0MWduOvMd9bhcwYxJ0nWWwR1+ZKAOXSeo/ ze3YipvTlSGu+rn7Px0yD7DeDa/zKg95e2InXWjYA3OR06uc3pHz7Cf3gtbB P1XqLdghAVb7IGIZhba+D/vUXOU+EL+8YqJzGruIN5kAOCnVaCzRgSwv6qoG /lpGUWoXsPPnE9Sh+p+ZnnggtsLbPnXgLbSi/I3AtjOV1ICk7Sc88pOxtT49 0gDmuitGW+ux5wYKNYF99invWulOZDGrVTqwtk7jh9o27LY7Fjqg9KCj1UkF m5GSrAPH93PeyzTAnlJQ0YXqOAdpDW+yf7+HHkSqrlF1rcIe2sJ1EJ7wZIkx PmDf3XXsIDA/6fzL6cLWkH95EKbCvMrnvmMbDrnqw5GuBsMokS5k26ZOAxDz C3Z86Yr9WdjbCHYZiet0n8Ne4pdmBIYbc2XZrmAXOfcYgX9t/9iBm9jbWnSM 4ZMY4dP7GttfXsIE0op/RCzl7kb+wBw7DMr/7PIPZ2If550zB30DZqB2AfbQ b6oFON5bf2h3GfaeoGALiNrd+1W0DfvKdX5LGHa3WvNpHlvfdtdRuM8y8/Mw 6EH+qBpnDTkKeXoO5tgRDUPWUO0nIGhqj71MRMUGfoo0P9t9HjuxussGDI2N +hbuYw9WbD4GbGUHNOij2C6MaTsQ4U3n8Z9Bph1TlrIHBdv/ujwovSh/QDWy h6N/qs6ZCmALXnlmD7k7tB+u3YfN/fSUAzinqHGlhyPTNsOCI9QGKdVXyvUh 78o8ewJUV71nv7ELmVJzN/sEPImz321FxV61cuoEXM1kJH03w64M8nIB1fYh T5EA3G/d4O8KT7bEC5/8iHNByHIDjeHArGUarEVTfQoID/BVqK9x00Wm1fs4 e0DWuTVfGvWRKdqBkR6wbuH5mnvmyMy/Hp88YJavJ3DbaeyZN+FnIWvfbjOL WNzPt33UE9ZHfZtNG8fzN5oOnIcSe/+0nB+4PnyYzxtsd/JbFv7G8+uK1b3h fptqQS17P7KqVJI3iIiHeX8XQqY+bT12AfjSZX8oqeH8WP6IDywtPz76JhLn AobyfvDtV19vq+In5Gye5ADIPxFZdkAZOWlBtiwAaB/h0Zu9yHZrTT8FgNDL +NNpOsgSsp1SgaDhbTXnZ41MSb2ZGgh3p9vWbAzB5udPvwp6k3Wmnn3IzHuM l9eA3/7ynq8DuJ9Tvf0a9DbKi1mP4Hxm6Pc18MoK/6z9E6/PKagaDInu+z3X rPiM8viSwmCYGSuPZCpj+xkVXofUkcIaHgYy5aBbciicuXNow8loZAmrTyWh sFvr86WKWGTWC5muUKiJX77VLwXXH1rNHwaTRpaRwwW4fkyTFgbwcuZw+Wdc 31VqGA5cTmEZ64fxegmmJ8KhiXfd0kvjOD93zz8cjp/Uzt8+i0y7A8/DIUL8 lkgizwCat+rp8gjouLq9x1cF2U4pJisCkhUrdrUCMjPu7tsIONVjwVDUQqbO KLdFAGU3Te2rITYo/omAms/8sRqm2BdDV9AhOurxRLwlMsvgnBgdZEbqH5g6 YR+Y3EeHiRiHP89dcf3LAH06vNacMVnhjvejec+KDgbx4hxlvjhXdPChg5fR KedtkcgUn+UZdID5fyVht5CT5jJf0oEzPVp4MA73X6oro8PdJYXV91Px/t95 fKSDU5ah5O80PO/9JIsOCjaffA8/x/nmL8N0KM3/b8vy18g0+7V/6BDmGH/1 +Bu83pmjbAww5d3ezSzH9QQHFwPWFZcridXgeaNCPAwYcrWgX2jA/bej+BmQ IzT6pakF78fcXYQBl976g0In7j+ULcYALQ/+O6F9OE8ylWAAj/jj7wMD+Dwu 5hsYQD1ytefzML6vyWhpBnhGHnv/aRzvp1h9EwNSq/e+6v+B1z94TJYBbWwi j1m/cb34t0Vz7Z2+1TePP8/Xnxet6tUY2Mv+Ba33WHfRp55lePRwIlNPCS7O SxgMse3mRqbcPri4XuP64/pdq7Ezh6QYwG6prtophEzT+7aeAUo3xWU71iLb zRgvnsf5/axguwSeZ7B28byxHG1LPkrjfFB78T5qiJzJVjlsm8aVDJjzZvS1 bMM2fsXJAIWsk3XNStjH/1EYYDesU9ikgudRH8zS4abUhrQPgPcfET9Jh3Kr fzGNmnh/v6eG6DBzqyuoQQ/XKyf10UG2/qVnvQGet5DSSoejnLfs6kywuedr 6FDiq7/vvTXuZ0t/sfg85sjK1djjfp+/j+ggNcoh8s4Z1x+Jj6NDsG3xj0oP XP+ozo8OBXfi+ivOY7dYnqbDSOP5hvKLyEkD220Wn19NhadlQXi/bqWqdLji tzyuNBTPb/KWpUNW3mAwk4HMnD8nSAcB2USHkli8XqP6WATo2F8yKo7H953C 2x4BPnfNoSgZz7+xoSxi8e9vXtHXGbjeg+9WBPDojHK+ysbr1Y9eigCqf/XP l/nYG7gcIyB1kvYhj4nrpxYUFt/ntsmQ7BbyPrqLwyFhVb13Vgc+T01GYjg0 6qU7Pe/F/ZyvaeGgVOhAfTaEfSOEGg5zic2/nsxh3x7PD4MI1zznpI2D6Dyf 66+Ewgj1WcgKOeSk2nyjUNAVeZjuvQ3n215JhgJ71a1xfVVkO0Xe0hDw3ejl PXsImbZS4ud1cO7bEWxyCfeXDewMhvJ8uSfFNFyfP//rGkgxpGpkg/E8F73C a9Czj4/nXxQy9buf2jUwvTt5++kjbIvnEATqZlkPOZqwB4XXBkKC/JMq94/I EsbM5gCYW5I03NmNzGprCg+AgpzIrdlfkSm9+//QQIHXPc9mHu9PZVOyP4i9 31qRL/sVrc/7qO0izFCfDrj4I9NGGnnOQlHqt3sXgpCpO339PSCQS/5wcCgy xbG43x14GjNKU6JxfbNdxmmQOZaZ0PsY57b2R11htGzcbCwDm7pE3wVyZLat nMvG9fme1BMA488vrSnC5j2/4zgcuZxtYdqI/Z851R7E+idXObbi/txMAzv4 pLWj6mwn9sbyEls4w/1iV+QANp+bpBUoefwYjR/G/hpqbwl/mnemZoxjXxLP MIfge7l8Nb+xi7wdTEH/3/S79nnsyC0NJsDnuCvgK/sQsudOPWNIkMv/zrES W8CpTB+cGDOP+PmwW4w5DoDclLKtlDD2lUEHXch79bJWTRLbdNdFDbgo/vuq oQz2CN8uKlAD9uy12YKdWyS5D5Z98ZlyU8TmdhXfA7V6r9Iu7sJuP31MCW5m zNqFqmL/FhpRBAteVZFYNWy9c/5bYJ3XxYZHWtgeLhXSMPDxdXDefuzY7nQJ SN/7lyg3xKY6uoqAR+Len02HsSUKGnhBeYlfRr8Fabr0UphzLnKcsMGmrfgx Q5TVzIn+c8CmqDI/ESEKRNNKF9JcFYWE4c3LoWKnSTPXhxICM8XULZ6kPXOb iU7LhV8qF8h5uSITRFIxPNfzw2blT1DAWdLf2TwA226j6kqQv/ZG3DmY3G+B vxBMDf1r8QrHzhoTlIACfWrE1ShyfmybNFzJomnevI1dUH1dHrQESv8k3cX2 YgrvgOU+bDnPE8n7GHFVhsYuddeSVPJ+vYm9EKMWKFGXhu1deoAK1illH7sy seXuqWqCFOeSyJEX2DL97jowdFJTZ7aA3L/i6H7w2lGeK/QWu4NgGYGzkkTS jWrslWpwGCyU/cK567H3Tr4zgwN72r2vN2NLuwVZwF5VJQf2DuyuyjNWIL8v yuByL/l8SIbZwjoY3fP7M/aG+m92wK6Rump8HPtBabATTGtS/rpMYwdK+DnD F23rwc+z5HlZES5QvV+guINjGL1P0l/ZT8Prgx5PTJcP4/fDwdUdMgxqoxtW DeP3u3XGAyKNg05WiGLPrkg7B7TDLDOqBDIz682a8+Bptk+9UBrPS7l71xuO WE4LZyvi+shV9b6gZ2W0RF4Zz588FHAJVGwyxh/txbklh85lELN3qrivM4x/ nzMCacDjyMwS1sf5dyFaAFCOi92/aYzM6uS4HgifXVo8Q6yRk4aY2UGQ7qEl 4eWJ96MS7R8K9z2TVny/gHN9ibowoHvNzbhexrmuj3QEePjk1h0LQZaQo/5i wG7axksHE/D6Z9fdvAmygTTnyhS8vluMczSIBnUbq6chK9psVb8FC9dvye7O RTZSE/ovBsojOdqkapCjMl0G4yD/hl1pfAN22qnxu/AkuihDpBW58bL+/D0I v+N1lYeF19+2sC0BTBIHFP/8xPfn03v+AWg9oIqd/4sseyVOKBl2pdznnKCM oP1TJQqTQeSxae+XFchDom9WpUJfZnn4B0lkke0BQ4+gcYxjdMcmZN7AQw8f A1NeW/+WPLKsqbjzE0hKr+A2343MCmL9SAOHR5X0bn08v0lc/RmYfFk2Tpgg e0Syrc8EzY26honm2Ak72Z7DxuQqHgcH5IH0w65ZMBhfHfn1ArLEW3uzHGjr 5prQu4yclMzVlgNVa/cbpQci57b8tnix+P/fO97TdOSIveXHc+Hk7ZobU8k4 13C9lw9jEbXR83XIG8Wv+RZC73vuadtm5FgnVYkiqF9uYMpsR9YTcXpXBJkh dQJXPyPLW6/ZUAIeQfW3uWaReZ6tusiE6UuNd/g3flv0Pl6V4Lcw8Jr3t9dm ZIFTMPYWWmeNLNoUkGO3+pqVQ/6FDyJxKsgFrSGbK8DnXFPcukPIYeY9fZXw 92TLvc0XkZ3yFa7WgKmyzQ0Ff2Tn74bTNZDBNhi8Mwh5esLM+T3Yxv46SzCQ R1r/M6iF0gpRPeNk7Kd3N9bDdQn7aZ8aZBU5hblG4G8b068WHV105UlNjlY4 9cBbo2498tCtVTqtUH7q3+6mjchbzg1dbwXvJas3dCsg78vNWNEGHYpKs981 kHWlJ/g+QmL4xYfCbsgT8lFrO+D3kSX3xDyQJSxTrDrASCoiSvI8snCEy70O YH8Vf2mLP3JS4fiaTjg+yDRWi0bOfSvP1wVb1DkXnAuRx7cqD3dDVvrTTe1M ZFZoo3QPKAkYGe+vRL53Jdi+B/Z9jU3d8gH3V4m19YAhXe7gxCByumNzTi80 zdR72Y8if3+z5WsvmNudS2iaRNb6ri/aB3Y7iyZz55B9dN/49YFnh0GsL9+Y GoV2xvS+CAtmNKZKR4QXTQGnI1tZcCkj5puVOHK64AF1FgT59wHIItfPVjuz gGv4qsvzrai/K2i/DwvoJrI3JXai/InTeAgLYqTPfmEHlGeKRj1mgWik4Cov TZQvCQrMY0Hi71d7vughc7sFlbFgo4OtwxFD5NT8qHoWPHnPHlF1GPmvVXIH C+R3Pc7bY4ksaZf7mQVZCQf70mzRfEZH6SgLlLgmuNY6Ib+ZrJhmwauzt3ZE uKL6hsHCvyyArj3W82dQLrkyka0fyrR6rp3xQrnoh5PL+kEnM+B5ny/KawtE l/dDjbBMh5E/cuXxdO5+MAyoYS8LQvVtMYI8/dA8ckZ+Zxhy92aLRVuY8h9J jcTnFz+zsh+6i1/6C95G/a3Rh1f0g90m67Tgu8i5TRxc/fAlitL8KxHVq+pe WdIPJ/+kzrk8RJ4KLppnwbjjfpnOdORZ46IZFnjWjR06mIU8f+viOAt+Kd/0 LcpD8/a6TQ+wwC9JOWVrIXK0xKZOFlCWd9UmMJFDdvIu3mfQOf+ZVZXIZubP mCz4r2eDRMB7NO/P+blsFjB0qvdPNaLcOOfvAxbwZZ0659iGLHMyLWrx81yz Or6lC9Vr7+G4woK1V/MqtfuRw2eWn1z8/I4srJEdRfWUHyKw+Pm9SdaMm8Te uV6GBVs3655e/gvVD55s4GaB8lwkc5RtfNHSxTYZffD6uNKIDSfylbqSs4vP WkM7fwM3Mi+nr1If6CZLnsgWRp5eunTxeVeK5ZGpFEMutQ892wsSjL8DnZLI lrzvFXrhj2+rA4f8OH6eYpN74JlxqK05Fflx1l/3brir6y1+ShuZg7F0XTcE E47dtAPInTn/3nWB3WbiaLop8sym4bVdwM82aTbvgnwtIOtJB1B+9QjwnUGW 07bQ7YDR0ZpmmXPIegl6A+1Q2Z5qbHQZ2b1OdU07+GZZGKTcQJ54sPJsG/Qd Y2rtf41suDTjaxPUmj1bYvsGOev2Q88mKDh4t8yzHPlO04r5D3Bztxf1fj2y 1NOLvB9Ae5Xsvu+fkOcil7jWw9OSyJ23V3xH89O/8lRBbK7fVBovcsypgs2V EJTuml0iiCw2dEenAmxjNLcNrUdO9rG5/hZWn/klt1cJOfbHpBwTFhwHhg+p ILdsMCgogRHLD0+cAHnjwlapYijXfirD0MPrCY2tfA0XxI9J9Vsjc79aYpQL DkaKR7rtkQUOXPyXA4ZX2cI+OiPra30ryAaZ4ZTJOg/kJ23ltzOBT+y89Lvz yKzZT7oZMG+oY1l+EdlDX4Q3HVpyh5ivg5C5lgUPPATm11fTeaHIzILAyRR4 Khoum81A5u0QX/x9H2NgbZ0RjeuX3jdJgkDa1qjHsch2wa6G8XDmxcLb5Hg8 P3SD7F2wHGz4FZ+MbKR5f8cdUNT3PHYrA1mCn7PzBoj5a0ZHZiNTeMLGGMCZ I1AVlo/95en1MJga+PLnWiFykkhYQDD0Cr9UCGDi/nvfOgKh5kCIg18Frje8 vs4f8i5bxlyowTY7quYLSVlyNZ4N+Dxe71d7QcTnv/OnW5Bp8esl3cFHqG67 aweur+FzOwGO+xOOO/XifJn7Dzsw9HOPO/YZ55l0U3NQfU6tOzqE3bRnxgBk Pq1mOzJG2shRHVYLflYynsLOKpXZDnO6uS76v7Bp6p0ioKbUdr3yD2k2WQr8 D6pyf7Q= "]], Line[CompressedData[" 1:eJwt13c81f8XB/BbZCcrUZSIEFEpKZ8TkcgOhSJJpbJX+sre494fGUkqlYZS hIRklREyI5nXilJWdujn/f70T/V8vM457/N5f1yP21Zrx+PnV1MoFO6VP9Df vYN8hcmrxw+t/NNvlSQFtMUG925kwbaa3akEJYWf6m+yYRtQDx+FfSdyL61f i52ZPH4c0sfuMsSuw57VOH8aRMND73DxIPt9beKxgURRJ0UaH7ZfndQV4Cw0 bWTfgKySfvi9MwSZqF4JF8T5VebbHjA/KrWGWQh77tvW6+AQxnMvaDOyldi5 nf4wsPXP/tVbkek7B58Egfnb/iZfMWzrXb5h0GBca7ckjpwSn/Y6CjRGc5i8 JJGd2OQeR0Nh6J2UOWnsLhbRWNi9NeSAhyxySd/dunh4UuDw+bccnlfIlp4I QsYnHZx3I0fXqRfchhu/DrGMKSBzDYnP3wUfEW7lH0rIthytDA9hKn++5aIy vo9opZFUuGzU5zgIyHMUvh+PwSQk+yFdDdnTrkLmOcj8NGH/oov3+bt4Ogvy jHWKIwyQ5esPlmeD2rvDrmCEnMzIoPQazGlyHY9Mkbd5RKnmQbg863O3c3if t2bVRfDNrfAYzzXkx6V8TyvApStrudwLuTuAcqcSlo6kZV3zQTY/1hlbBXwb Ejb2BuJ9nS1DqkEt3/FHBg33p3lfrYOUJdEI3VRkHqElqWaQuSAIq54gp7Zq PGqGN3XrJnPSkCcOPd3yGeruLZoJZSBfPqvL3QJLqq1SI/nIxS2hg60Q9qy2 624hsgdMnPgCfLzvY44XI3/selvxBWQGMubzPyAXjW6/3wbmIeEfw+qRy3zt D7XDt1Ffb+UmZCndX/fbwfmkx67xz8i8PFqrOyBM8tytk+3k+7Mq7AC+GDNd 9i7kY+mM/J1wb15/VXEP8vgDY/tOyK1WviQxiMzG2sjXBYf37BFuH0LuDRix 6YJPt6UaqT+QO3lpWV0wYMevND2G3HJNX6MbeNeNs3xYQO4bEdfvgaZ3EaFa S/h9b5sJ6YEbduJM9X+R1bN9CnuAp9qcoZ1x4hDFj/mKGRcdmjyn/c8wIz/V eLmdDje2R1MGWVdMWbTrIujAE1y+NMaJ8tYNNRdW6vdYXXfnRo6wiLi2Ut+3 sLDAi+xjLx5Jh+Mx8df8+JEFtt25TQduFfm5NYJo3tuoyWd0aBit9ojchHJT ukQ+HaLvnJ/m2ozMFHSwgg4GOhS3BBFUn8C8u4kOXH+SJjeJIW/bxtG10p+2 1/m+OHJmQc23lX7ThjEJSeTcJpexlX7mKw7p0mheWSLDLB3W5a75tUsWmdvC b4kOdTYpV97IIUvcGFndCzTegz+UdyM71xxl7gW9shbbMgXkn29vsvUCp7PT 0FFFNL9coZujF+q2sF/4pITMuG0z50p/3aOB48qoXjnWfMV63irn2gBZ8XHC 2l5YK9PRa6GKnHWrhb0XatvdrfrVUD9X2UbWXogK5+qx1UAWjri0phd09j+3 GNVEbnQup/QCx9CRTldt1L9+7e4/dKiNp5vP66L85ursKTpEqXt99TFAjmfT +UUHnd/rTRmNUH3hL8ogHdgfZLaGm6CcEtTSQYdqA22TdaYoD8z+1EiHiL+D zXHmyN6Ov1bun81iU+O9M8gVcdkvV+rZc/XFrVG/u5D1/ZX6AoO6ZzbIplc0 Y+nAKhBS8/oSqhdfqHWjQ1WFyLGDdih3SHS1oUOY+9uqEgeUN+RZG9GBpXm8 vMYV2cxlh9xKvX+kuqEHMi1qrdBKvbzE+1ZPnEtpsdCBmXaqpNcbzfvfn7fv eoBJq6JgNhSZeekHaw9UzFopeUcg+wvta++GkMd/3qymIv+n45nWDWsYd71e ewP5iBPDkW5gLL6dIZaMHHZK2LkL2pXVNXvuIr8asN7bBRkFP+lJ95GvXC6e 6wTzXIKH5wmy7fDg9U549aLHjZKFLOq27NUBlsliB7oqkcPz0y2+Qt615x8S fiNbesT/+Ay0WSOL4zPIAR84Hn6Gc+6L02vnkQW+p5z6vPLzpbs9eBk5o2rf p2Y4bzsW7so6ueLILVlZTcBzco++wRbk5T2KkQ1wReHtV1Zt5JLegE0foaSh JT1PF5nxaNvjKlhvP+570QB5t5DmnioofiQuUW6CXPUgUL8SeDdEu/hZIT97 9Ca+HN7O27DPuiMPiIyalwFXgm/3I09ky9I186VwfnfSK2Mv5LAdJxJLYd2V +pNZfsi02w/bS+Bcp1KqfSRyW+FkRxGwF3MSAynIqU977uaD1SkprtiHyDZp sqvz4fWsWr/qY2SFyf6LeXBG/lr4vefI8jO+B95A9v3+FvNc3D8ovZgDLLD8 lDUfP1+ws0sOWLQLXM97i3w9mnUkG5h59UT5S5EFqrf0Z8GpoDyHxhrkTm6v 0UzIFGlW9atDfqo34JEJa9794pNrxPWvfFdlQsa06NuoVuSURI8DL4HhIpVZ sxeZkhPZ+Qyea1mnFM0g295tHUgFBZmtcGge2cqDRS0VijjpHcV/kEW0g1If QkOzxYZSym9UL6no/ACmLMxo79mQTftj5VPAW0VARn0tsp+TisE9YBL78vHD OmSDuTNH7oLgsPGaCj5kq5krqskALgbXqzYjN1wq8UmESuN1G7W2IqvwCybf BAPFujcfxZAzS4aLEsB6Uft3tSRyNOcjvngIDTl6+dNuZK5XScsxwHWJiUVv L85tc47EQJJ2+aM6RTy//nVMNKRzqfXWKyOLJBo60aAhCUybNJApV8qvhYOZ 99L0cS1ketKt42HQd6Ywtlkb58ziCqEwte1A/WcD/HzWbVzB4M08b2dihOdJ F7IHAdOPN2ytJth9dZyBIJixV+OLOa7/viDjDw9ipvpPWiCX3Gk86gcybtn+ bWfwfOHUzz4ASrvefbXBpiZFeoH1exmFTgd8H3u1H7vDyKORxtPOuD8oQN8N 3MKeOXa5Yn9ey+QKobqSz7s9sUelkpyAS35I84wXnuflP+oASTyPv/V4Y+9y LLWD9C9ior0BeL9rLzNsYW9BX/HZYOwgvuoLUJR836IvFPvOuT820HB2y63+ KOzeiZSzYKbevc/mf9hH9fisoE/izueBGDzfNlnJAqZHNnJ9S8BuXG49CXF3 hiqTb2HXHt9pAnv0c3yNkrFjtbKPQxPFX5HtHjZfi40BOGfpjpXcx+78HKgD XDYbn1xNxaYzxGpCxvohy51PsFV2TquDXmU2/2AatqfhU1X45elXdzsdu63P mIAoad2Q4xnYU/K/FWFHpyCwZpH5y+17oJr6bbo4B1uEv0sWLh3KfuHxhvTq MAlgmfA9L1uAbZqlKQJPHugIDxRiRz+Q4wcNY8GWpGJyH2oeOwyu+RZlWIZd snvbMhH0JkudpRybInroOyF2yXexqJI0k2U5UbZRJ8e9mrSfgAtxtlbATuYT 6UmXJoLiMyjWX0/Ou80/TtyTy+q41UTmeeKrAHp9Yg1asP26A9dC1w1tbeY2 cn+FEH64ri7AUNRO3p9c8xbYNDNQ4NaF3aCjJw4FT1657KBjG8he2QFmZj7S fX3Y+8WEd8Ecm3Zf4iD2eHe7Atws3JCkP4w9PDyyH1q2vGJ99wt7n8GyCrg1 epe6jmODjZca8AYeuyb9G7vvlpAGGH7rH745h50nXqENn9L5q1wYppDb+bSM wc6y31eKCXv/EaYTwM6VqUhnwXakNpwELVetJ7qc2M83R5yCcqXrIZKC2Htn S86CzYgm9GzCHlOqtQaGO+tn4jdjMwx2nANVSsZ5hm3Ifi5ezBfgXUWvevdO 7BbR8Mvw2ugoQ5w69hAvgwuEaecFCx1FLunSiXOB02pSLI+0cH5pWdwVVu9h X5urh/MzQcfcQI+nnr/NFLtXNcEDhhtOSAvZ43rmaWkveFtVmZ7qiPe5sLfQ C2gl++VkXXD+aVnnOihkblSAqzjftWTnDf7/6yas/PG8VPtHvrBR74Jhajyy SFrqrD/8OvKlWSYRWcWV/0AAlBCaJ14nIdON/noFwAVZ6VMV98h9ti8HQDbH qM1wGu6fcf8TCDo17p4yRbi+6uqXYNjy/ttCTgmyVfXwuhCYLDjpTbzHfpx6 NARuPVMK0KvC/benc0LgW/hSpFMT3te7LiQUfDWD7+V8Q065vo8pHJosbU/L f8fnD1fvCodt7tqC6SN43/a7p8Oh+j537MNxnFswZIYD3587ITcW8HltOboR cIHbX41zCc//ccA1AvK321Ai/uLzFZdvRoClsfR//ozTaJ67ck8EPH2Ra+/E ic2eZBMJC+9vSf/kQqYLcQRFgm779aGLvMgp9wofRMIkk9rZMwLY19q7IkFd WGJzx0ZkkZeaC5Fwcw9rxwlhPI9jdn0UKFvVG+uJ4tyNXzsKaB5Z3NXbkCkv w2yioDcqvu7IdmxnwjsKQvJPaRIyyCWnnNOjoIFn+KDMPtwvK7CaCqJSNXNP 9uP6tuz1VHA/9PK12EGceyVKUmGjnZvcJhWce6roUMEu4OTPhMP4eT6usaBC ceKBNJ4jeH9GAXsq2JRTxNiOIfvZb4+kQm5Hf0+wDnaVxC0qsE5WJK/SR7ay ufqYCqdZnpl5G+L5FzZmU+HlZir/vBGeN8tVTAXKXqdmtxN4H63T1VQw0jaK HjfF/bSlz1SYuyrINmyBTdcYpsIx2mLFOStc7zAxToU7qT2BPdbYEzNzVBgv KFM5dR7Xvzal0OBw46Ol1ov4flkFmGkQNxRWcPwyzlX2raXB0NKVq3V22K9y eGhwgE9f4Zgjrs+N20Bb+f2+e6LcGTv9yyYadKusf6nqhu9nymcLDXadnLv8 zgM/3+9IURoE2XdsV7qGn28tRZwGrYFFAzle5PvulKCBVNL9+/I+uP+QmCQN rmcGWab74fN3tay4ruLiJslAXP/794q3dh1rexiM62f9VhxRdjDDJAy/b6az 22kw+UQmhDkSm/vWynnmVGGLfCqun5cWo0GZC6fClWi8/wMBERpIm/5lE47F +06cE6JBLDHeWxeP318tpwANFkV78/wS8TzhTbw0sGFp+t/u23if+oiV+6r9 VXZh4A5+vpozK/e5tzmbSEjBpiSv3PfdvFQ+zYd43inVeSow3Y0fmX+Ez6sx nKCCQ2BI2fOn2FC/8j6/2F69ZfEc16e+7aHC0z1mR0sz8fns32uowCV4bLNr Np7/S7aUCteWD0xvy8X1gd9fr/w8fBR6GPYW51G1d6iQ9XLtfweK8Pye2eiV n++4ZYOfJXj/h/cDqTBiSV/Wr8D3o+R5kQrG6o0tqz7i8wafmlKhUKosPbsG z8s9o0WFqKmH5hsace5wUYoKOyMu5nZ34PflxTcQBQmOptTobpzfft4YBX+N tWwO9+L5LG1FK5/HLTtWviHhfZTnbkaB8+tRe/sJvP+b8CNRkEN3F19kmkHz hkL+FwlCFRcWX7Aip9zVvRoJwc9PNp/hQKZYVFhGwgkPJf/33MgiJZ9lImGW fakzQgjXb4srj4ADikFxgruR/YTYR8Kh1Vpw3x0FZBXvew3h4Ep7+UVEkZzH lBsO6YNtGyWV8byrBn7hsDlO9v4+DezYWZ5wWD3R+sLIHPt83K4wqHkmVUkN wPMnaKdC4PTm+vlVzfj8wsfxAcAp6PL6bQs+j3mPewCU8q53dm/DuXmtcQBI sJ4aHu5Cpn+X5AuAsd/fWuuHcX14cqw/BHxczr6zjB2zEO8HT912OihJz6L7 Vc8z9QZzx0ap3zLIKt9NhL1h7WW3wXQ5nHPI9V0HlzMFp0X24vxmgt11OHhM Q5tZBZtbN8gL6rZYSraY4HqvjuJrMF1N7XPyR6aUFl32gE72FtvFQGS/RdmD HlCmIzQWGoL7TbvYPSC67tmfu5G4nmfphTtIN1XyfYrH82LUp93A8uuqo1LP cL0RR7QrVAy5P+9twr7ROuME6ZLvdtm34PrPTvVOEHuJMW/uC84v6jx1AquR Gx/WdWHvrDR3goXRjC5iCO8TGBPsCHIz39cl/cHmryTsIZHR0u34tjm0j/oP jkuwfG7D3kYJbDb5eluwed8wrS+F7Cf+I8YW5APUruruxHlevoAtVP2V/E9z P84rCnZchNmF376gg71q4MJ5OG3+QuWdHq7fpCx/HsryL6xSNsQOXbVgAzTP rwFKJ7CDm2g2IDFTFKxghfupvu/OwYmJ8EhpN2xK4k5rKDRQ00nzIPeJXD4L opmLHJLXsN/2152FUQdHmrgPnif+3uksBP80jhEJw7mLTL4V5AxtucmfjHO5 i3mWwNv9+sHqD9jU3DozoHF4e7+pwHau8TUDtoPqpnYfsacf7zKD1YlNa1vr sLXTb5rCpOGYZ9pXbL5qu5PQUC6pbzCGfXHrARPQmRqTWjOJTVucMYYq0TeM BVPY98JyjKHY90iB2AL25pe7jOGlkrX4LOM8cjirghFEvbj9585G7PiOk4bA 0mndelwYm3v7FkMIYpN+xSyCHcE5ZABeF/MuOItjn073NIDLW1sa1eWx4yga +qAZz/l05Ah2+6C4Dnx43xKQoond3bDyfVdlMtnCRBvbvNZWGxT1d/AWG2Bb j2QcW/n8afrcOIWdEHpMC9Z4+xsrOWNzKWRoQM7Ez/liV+x9Buc1wOaC6T0N D+wppZXv1x/05X4YeWHvdIw6AkGiXb4OwWS9nIc6MFbtf/7wFvbTIPvDkKOc aiCdTD7fM7nDYPNq3UzmXey8gElV+JD0TaXoITZN7T9VCLSPa217gX2iPUYF VvOOr+Isw1ZeLCYgK/TUk7gP2PQNZsTK/98rdDZVYvtd+K0MZYN3bkrWYhvE 7FCGgDxtWbVW7OjatAOwyvKJqecP7GTrDkXIbOJZXv6JPWAeoghWR30eBo+R +5vtVoQSeZPRG1Pk/VtR94EfA0PQi2XshmP6e4GSZpnRx7OAHGVF2QMVP784 3FuP3fkhZzdEyRvuPC2Anbjz8m7YkKf2okUYW5K5bRfsrJR8XiWJ7fZfsTyc Hpx8/BKwM3+5y658f7O7cEUVe3/xogwM2w2KS6qTVguWAdepL6n3tbDz9G7v gAiGdw/ijMn+b+1SkL819O5/l7FtOx9KgM95iqWiPXZKhJoEqKddE55yxK66 OyAODfJ2yfbu2ALD0uIwfMgwycoPmyW4UgxeBlabCQdiq4w4i4FbpZpgezC2 abywGPzV25doFIlNf+QpCvyWmxI0ErA9jxJbofN+nAnDLfI+LCdE4MHg2vUl t7Gtkh6LgKw9JU7pPjbFmU8E1K8PxsikY8tfXBAGl6QMKk8ZttPkX0F4s5gU WvaBPM8vUhAWLUP8XSrJ52sTEIRQMQv3ployr9kvAMnpbBY3vmA3CFP5oZdz 5sThduxxQwl+kHDuNZjsxDbYWroeMvfmqR/vI/P//vBBedF5GZ5f5PzgAF5g 22ooUTaGHf1nOy8YBCqLuEySeV8dD7Qf5eVrmsX2GxXhgdGGkj8xq//gz5tH CxcI9G+q4RbApujNcYDFEeby0o3YJW12HPDgyWSRszC2SFY/O8jYfcxqFMVO kWpjA9Vpj6QYWWy6cQcLhJy0jlOVJ+ttz7JAbb4ubWI3OS/0OzOc8NkWYLgf 26rpLxNcZm66xK2GrVKktgYyLr07V3qE7Lf7yghTNU8tnDXJ+T+dGME32tew UZes13nEAHGCskoxpqTLRVfDux1hLNwO5PNwtC4T+z5v+HTDiTzfQmWZyLz+ JIbPlayXfrFEPPhUsVHAE9tPmLZIhDmukd0SQNZb2S0QqwTiJ1KCyPon3+eJ /0q25YqGkvOlLs0T9tzqhySiyPylwxxxPDvAUDaB9OSNGaLmFA9/RiI5f8PW GUKd8UG7/G2yf8+raULRpPScQgp5ntKXKUJo9q/7wWek7yv9JoYOeCdpFZHz Wg3HCat+jjM1JWS/6dwY0R6ZLKb7npwvYDBG1Ha+TTeoIvMXLKNEls9C0ckm Mi9LHiF2bI8I/PqZzOtZRojUekHNU19I37j6g7gpotRo2fnv/iy+E9fLrvaf /0a6UmOImL7M/HRomJx3tvIb4cB70+7SyD8f+0actcmdthv/55ODhAbTNLPb Atl/Pqqf4D7mIhPAuUh+vszpRErpOvYD3KRVf/QQ8kovvk/wkh4S6yH0JIcf nxUkXf2wi4hgstyquo10bXM7Iejz5++cBGkbqXbi6XRid6YU6fyAr0TlQPNt ETnS8iptBON7LX7KAdJRAy1E7IGhqTfKpEdNWgjRrKBmx0OkXas/Eyr3i6N7 1P+dV9hMePvuZS/WJ81W3khwzDZ99zhOWkqvkUh2cKraaUKaob2BKLB4HnzX nPTx3/XEzMGtFJ/z//Z9WUsEZxd177UlrfO9huDbcfrdr8ukCyRriD0bb/5n 4UR68+uPhNMcx7SyF+nkVZXEX8dnzVPepNstKwja0NGsdD/Sq0vKifTWAEeh ENKMtA/E95y573+i/51vUkZ4yiRUZceSnqwvJVhS9zy5kkC6TreUkIh1sOm4 TVrEqISwdh7oLnj873zGd8TEsP87lzTSAjsKCT+rLcnS6aQbTrwl7umbmyW9 +nffRflEp2xD87VC0po1ucS9EW5vhmLSdhK5hHWakQS1lHRq8Gvi+7YvnikV pK/r5xAzm7qFKxtIG3NlEQVft1QaNJN2Cn9FeN8869TeQnpxzSuCkXew7Fc7 6dOsmQQ328+LfIOkJS+nE58rZbnvDv3z/54TicGOBdt/kG7Lf0ZsXvWb4+DY v1wkjViTbsnqOk3aT+MJ8X9fzdWk "]], Line[CompressedData[" 1:eJxF1Hk41WkbB/AzTFlCkrSQkLVUUpTpuftREjFRo5SUJcVF0pQlItsQUZQ1 lRRGb684Sdl+pxDJVgqNIWqIcMqSff29vXOehz9cx+e67/v7bOc68nau+0/w sVis6R9///8s9wwNyJiYon78y1KtTQOdPpZFKP/0v074IwUMOgWmMkV5zlO8 C0KpRmlbxXmOik+GatvwvSUSPI+JJsNvLWJ3G5byzBJJApv6JQZT8jwX7UwE xesWfcGK2HY34IvpjYSFKjx/Ck2A01UyXAV1PN8ZBxdKVkcZafNs0x0N2/1P 6NRt5fnMlmjg257eZrUN54Vfh9D8NVpndHmu3XENTDxPtY7vwPl/RsFCrcxL Qbt4ThaLgjj2xqa4PTzrNl6Bw6fPBcn9itd/EQEy6k/UH5ji+afhkJK+1Y9j zrNcXhiwkyjFz8fw+pIhMOg9KGBri/N2BYO2RTq35TjP/l5/QOHChY//csT5 o4Ewwy2JM3fG+0GBoPvKw/utC86PCICX/q16VWdxv7Y/CB69rmTojtfb6AfG OgZCZZ44f9IXagce1j7zwf33L0Czna91dgjej5cnyFIbd24Iww7yABvpDuWM cDyf5A6ddSa9aVE4v+EcqLJZ7xSicR7fOXCOyHlyJxb3bzoL/foyvjcScT3r DGySr7WRuo3rE67gMR2kH30HO/w0TD7hLriSij3iDPNVChP9M/G8vgMY8bte nGZja52EiI8Kdt6PsbedgEUJl9Xc8vD8zuNg7rZddKAA1x3tIM7se78LBzvc FmSELPMcSsh7WoN1h+itz6XY+47BveJiP9ty7DorUPFW232kGnuRJWhyxxr2 vsfraRwA9/KM/KpG7AXmkJdic9uwGfd374cJP8mAshZcF9wPYPXKfscn7K9m 4L/Vx/B5G7aUGZRIaqijDjxvuxcMa+IHtXqwtxjD5f8Y/5X9FbvYCGqCmYIN fdg7DGH/dodAtSHs4F0Qu0L65J8j2Or60Djy2mj1OPbynXA0S3vRyhmyX114 ajkmVsua4fkgBWLzC0SC+LG9ARweXRDWno+tvQ2KrECwWxB7/i+wTJCZd2sB duYW+P1xEb+pGPaEFlQeC/yJbxF202ZQENZnchZjb94E3k/mTTtIYatvhDqb 8okVy7GVNUBdJGysRhq7cR38kbtnxF8W22YtfLATGdokj81WAy2x1wOdq7EN VeBqfmTfDWXsW0rQab/vm4kayVOE7eKLucxa7Dx5iC+s78pej10qB/0n4zpP bMROWAWGEoc+L9uMLScDyZzlbVXa2FulYdyx+eNFHWzdpbBf8nbLRoR9aAk8 eH6s+fN27H5x4HOW+zteD9tMHI5Itb3fo4/9SQhyilPqpw3I+QRBxOXEO7bR XN1+mUrtcRMy/zNwXnTVSJmSOgukXB9UVewj9zWOTq84VeFjjs2aQS/L1pVv sCDnGUWrfu8rbTs8139e5lFJrBV2UT+qLT9bZGhNzteHVM9tfjZpS/IKUIDs SGGmPbb/B9RUkZtv60BcizTdvXIlnch8N31ZbtuT8lOk3kS3V01le7sSD9PI 8xl73VmSP0jHKPhnfnIj5xuhv9XoZUR7krwR2sCL/4GBNznPMJ2kWJY+7kPm a+nRNyFpGX6z+6HNLhimWAcSt6L7ysJ3JYJJfzX66V1VUtkl4hra0vfKrfOX iYvpbFXTxLVXiJvRgnrxhNZIcl+dtL3fu9hr10k9GdFrYqL1Y4mLkOT7A9dG 44kbaJeApZEPEonL0Ev1vyOO3ib7e4tkGxMviycTN6A362VDPNKI3yH/4LsB Hx6Q+bdI1FNgj+1D4jw60dFFojOL9H9BypZ1TU7Zs+9HPzbWSenLIW5DunDH 2S13Lq96/bzN4/lkfgAdlnOe8qXJebtQ56K3pXzPsZOH0Fn+LVcuFZP3aUfM 0K0DIqUkrwlFdPLJXntJ/AYta3TsXFIxd960iteZiVVz96FZuNlz1WviSfQs I5FKrSX5n2njJJagWh2Z70eNkSdrHzaQ78sosg+oTtBsJPVxNHBW0za3ae79 L9onqKEWkvcPEj44M1D0kazXjeJ32xfsaiP9Q0hRpzKw8jNxC2Kv0TA2/UL6 /RHIxC2u7yZOpStFp5oPfSX99fRBxja1pZd4BLX3l5+yGyDmojNt67S+DJL9 9KKpuuhp55G59w4rGy/rH5v9fiOpXOur7pPErXTK/bKDE9PEFbRG4tpVfixm Np8Ov/aFnx+bxaaNfEezQudh63LR+9NHz4sKknoBbWfzQve6MLbNMOrbpya0 VHS2jnx2Rr69uZDk1yMhreEbchKkXoLilI/YpUmS+jCtsKx4zZqlxJ/oLCGV wczlpL+KRpMRhZtksOX60auv34PyZLGL2tCB1kMmIE/6O+i2N88kS1Yzs79/ rsWKLQbKJL+Hnsq+nFalStxFh6b2u5itndvfkriD2g3rmNn7vneJnjmsQerv 6fVeCuWtmqTOB4VOoZHHtUjeN9rQqteiawvp70P1v5rLufxCXIlsqYKuAUT6 J+heDblHHhSp1yFvhRCvST1Sb0cCkl/1/PVn10cx8/YLz9tNzjeI5EZz34UZ zb3Pw66VN8VMiJvp0NvBNq17idto+/3flDL3ETchXYEDXF/z2TxahqbZv1qQ eg0aO6PosdKSuJrWM9sUK23FUDp16sMb907RmU2DLI41uY92Or2gQ2mvLUN1 Xw2yio3oRFulz1+6aM9QcTLd1a27P6Id42v2qTuSvPv0rqQ0gYNODBURE5B+ xLSPHrebaK5yIe/bQ9cvtbt78wzZ3xTNrq446XwOO1kAFoSzULsbQ+mL/6wn XtSDHLVvDAh7kftrRauSHX0eXCT7a0PR+TFGTsEMdeyC6bXMA2Uo+9md6uWX SH8LffWcwPXuMGwNFsdJ1dUiP4KsN4HU+Re0B0Uy1JXKAG5WzxAyz+nlnr/G ULpTIckKQtIwZfBnumos7u9aCeluvWyzeIZyfpkrqa24GnLY7pqvEnFdVgWe vq1Uk7jNUMLh7tI7twzRzit2cRyScf2DFBi8yQjckoI9xseJ+nB33bI0hvIe iukYWbqQ06opMzVyn6HeG6d76/13mK60c6+wzGCo6WOBr/gSWJBzzzjBIxPP 5/0EURaPjxo8IvcpDedNbUREcxiquN7E56vAd9qwOLCr4ymu5yyCmjwTS3Y+ Q60SG5uaeC3AGe3x39VUyFCbv3BPujYKcpo+5m898Jy813f6aYz8jGIJNnsx XDcKezFUSu5PiFOa/Wj3i3KGyv8sIO5dosCpDsziKlYw1NC9j8whtgznMnvH 40tVDPWPW/PiL2xJjpJj0WL7GnKfIpwVub7WsrUMlbFepzT8piRnXJW74e86 hjrVp/buoY8SJy9k9HhdA/m9EOEkTX8vk2hkqNKDAyxb5yWcrjvc1E8tDKVy esMFlrc6GKetz9nRivtb1UHZMs5L4h9sGX7gWzizva0d21ce3pwZOpbS8SPv TVi0RcMg7RQhNx3W/eN+VnoEBL9YzfErvFsiw2WoqRiOtvTafnogJ6Sn6htD RY4mLH8toMOxuOO37+sAQ/W8lurOym+hVU1OfSwa4uX7dwHHQWlF1OkRhnqR +eFZ7+5N4HZrd+dvkww1M+K+rINvBYd2StmgMY37A5QgftWCYYb51wOpqjTn f1t5+aQ= "]]}, "Charting`Private`Tag$29974#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 2.155316607978762*^-9}, { 0.00036432384925595316`, 9.201377854095583*^-12}, { 0.00036432384925595316`, 9.201377854095583*^-12}}], Line[CompressedData[" 1:eJwtWHc8Vm8cRZFXfkpUiELSkiQReZ5rV0JGKg0ZRaHILMpOClEhCskeKXvT a8te2XuTGZGSfve51/2Dz/mc8z3nfJ/nvm998BmYa96io6Ghscd/oN/taZdf 5FpFYcZG+GMrDBxKVZXp90STWIkLCGwQShS2jcaOo2dMpKBGlon5cu06P3qi wMZ53MxFIAarrcEfZl6w+0t5bYJDDPY2GH90VvLL/0YJtzSt4xy6AnNpN9+/ B2MxGvRQF/I5HPTnBF1iSb8lngJqDqah3r6OR0ek7/ziSX14NI7MN+QH2yRW t0V6xJF5/vwg16bTqqYnjvQ/IQIM07NbforFk/5+7AXMC4En9njHk/oWQZBx zCbwzFA8qT+4F+haaC3fl0pY1/MUMHw+dvndywSS5xzO/zy9Jad0PIGcV6Et uCw0wzmDJZL9GFgBjWmN/c43iZgY6sfGUxAfn9AlM5O4fh5z0prjntImih/X 50el/wgah74O+biuFwBRtxTX8hc+knnPtgOVqL03RpWT1u9jJ/g5SEvdEpFE 9tvKCsL4+nklV9YxzXi+kl6hi4H6JxLzsoLZsJBBr9hPZF4NU0FQj718xto6 HwQKZLl1onq1P6+fL1YweUWCnjFpHWceLqiqYUrjoEsm+4yIgN1TDw2TjiSv 5x0Alpsn2OR01rEeDyg/dLm01X1dv0Ip4FKusDZNXudFuIH5HfF9NN3rPOea dKln9Df/TSnk/n+EAEccu8fB4ylkvpooMKtwEy/UTSH7Cx0G1NEfo5rPU0i/ C6KAncHgzVjGur5OGNzZ13j60cC638JxUKgg82vrf6nk+2LFC7bd/BwXfTKV 5M+dAkZuu3WkbqaSfnMHQF6ED6Xed52fPQ62Fq/mGOatY6dT4OaAqcmv0XXc dQJk03Rx+WxLI+ejxAAzr3I1H0wj+54UA3pYjkPmnTRy3w8SIEP3gNC5gHX+ 5inA5Pimu4+aRvaXkgG6oQw+1lPrfqKyIDXfBlA40kmcjAGG7uHpUPl1XCUP rvzRChM1X8ev5MFnrhK1irfpZJ6dHNgoJfrvank66e+tCC7rfPg8N59O5g/K g9muC0wRXBmk3uc08NBlvKUlv45HzgDugbwvG80ySH35GZBmaM6V6b+Orc8C 5VF+G+OCjPXPqyrov91azzG6Ps+pBuy+PztUxZJJ9vutCljugScOEut4QR1E z831Cellkn6lGkDaKkqq1zOTvC8mLdD881KAb8o6FtQEJg82z8l0ruvztADt n0LlH3RZpF/GBRD02DI68nAW2SfgIhCmEaTRvpBF6o9dBGWuHVcYHmeR/R7p gGv0PhlZ0evzKZfBj6cyW+/UretHdMAzpkUTruV1v9orgNcntqx6TzbJi14H WVuu8j4+k03yGbpA7RWLg/D9bLIvhx4YYS/+1hecTea91wOP3tiIvCxen5fX B2xcB73kvmcT+c40BiAhpHtkgS2H5D8ZAJk9fjLR0jmE/6ijIWj7IP/u4q0c wo/TwRDcE1j+uekFqVdRugU2xiao52SSeqO0W0D0IysDN2Mu+b62GoOvwmV6 tSK5JC93G+ilPMhz1Mld/3yZAJ/MPouBhHV80AwISL6uftW8ruc1A7l5SoIK q+s8z12gAX87/xTII8+v7x4YpyZ1xajmkX3SzYGTvL74Zds8oq+OjwXYUc7+ kvI+j/Q7dx/IVzsomc2ReuYRSxD27WzKsdf5pP8WW3Di8t/NQ3kkZl6yBTWd yUb+w/nkeeXYgZW+ndzLJwqI/RZSHwI/g2rbOF0SW6XYA8ERx0adpwVknxgH cGFyxCO/vYDsm/QYfDcLHrhLW0jeT5gjcJ1Vkd5ziMScA04geTFt3sWhkMxn dQGb/7lcO737C8F3BLqBoDuXdIWUvpB5V9yBQIuQHuu9dfzDHcD4NsOuAhKz 6XuAarakW9SRL8T+MQefAiGsKK2JgUpghpWnwHIxUayMi0reV5knyIkPzMgS phJ9wy2eAZobLuIJclQiX/Lqc6DEbpYVcpHk9YAXaHaUzXFxXMfbfMC01lT+ uToq0f+anR8Qo7QBOEjmXaR/CewLiwpFlkjs8fol2HTwDXX77iLC/2D8K8C3 Jlvad7eI3IcjANxOE1Jsciki/KTzAsCn2zvLSwOKiDyL64HgVPNURXwBqXcr fQO0495UW/1XTOC04rcg5LqrihFfMXnege/A4La7tZdPFJP5hiHA/LFcPbhO 4pgdYeCZ5nTTpiQSM/SFg4ZN7Vq/qcVEfv7VD2BHQXHLVEsxuW/7BxC5P6i1 cZXkrw1GgIJVuc53KiXkfe6JBhtTj1x9oVdC6EXSooGyMUe3szXJS56PAW2N 0z23QkqIvhv8YsF8TNDA0akSIr8VJICT19wM+GlKCf/VnwnAkfXeEDs7iZlT E8HmR/IjK6dKyfuWSAL7NGbGS7xIXkAqGXA5nZYy/lBKfD8cTksGW5PCvZiy Sgn/8sMp4DejlrDGIIlfHEoFDdQsq96TZUQ/fdV0UDaztcxFrYx833vSQS63 yY59N8vI+7TKANEPuHNMfcuI/TjiMoG9iMvarxES98McYK7beT7kD6lXm84B N72Pf8BYy4l+Zu9zwfnxEXkPaRKrbM8HAuHKz9helxP5GmJfAGddZGdmXDnR f8tGKmBZXT18pZDk+SyoYOXS57rwCRK7nC8CdVvY2YVlKgj9snAJKAF3bzVq VxB9Qj6VgGzT8kxrUxJfFikFkRUPdPICK4h+a6fKwAOnnrAz0xVEn8sPK8Dd JPG573SVBG/CWgkMunxlfTlIHJFYCVQl5Ia/yVcS+gtTXwH/bMxBw7ckXxVY A3by0DgwJFcS57frXC1gPqdTE19G6kU21IHlmM3mc3OVRJ8HTvWgRtci/fHp rwQ+qd0I7OoksaDFr8R+zdMtgEU4Y+QrYxX5vht+A1E+It5/uEns2/UNNKrs 79BVrCL0iU2t4HA1u9W+wCoib7KnHRQf8uO8lEDqjxt3gMvPN1M9C0m++0cH eHKW7r+p0Sqiv+u2LtBXMRuTKlFNYFGrHmC731R1+Fz1Ot8LmJ+OLmzXqyby Dmf0AkmlHpmHntVEf0/afvC6tKoT66gm7uOjwQA4XRTNUmtfQ8xL2w2DXl6+ jLUXJOYeHAbWziFXRSJriD4zaiPgA/Y67nV1DdHXSHgU/ClwlrvCXUv4SzOM g1c8q+NeIrUE/9ZlHBx4bOdboEDyu/+NA23pe928d0ncSzMJPudetR0rqCXy HHingBJXGzdnEznv+2kKdD/ULFEeJfEUnAYUybNbP7HUETjJeAYYZoknWN+o I/bZazYHdqaz9tLS1hN9U/kWwDXvPxeGd9SjPOd9TxdAxM2R6nIhkrefWQBC 23NyvC6T/HTxIpCz1QvYnlxP9Cl2WwKeasrMv8rqUV6a6MoSqBUUc+vsIvDx Yotl8PG7W3b9hgZC72T0C4iHXIrxP9pA8Gp3fwMdz5qBJ1Ik/rH4GzyyluWx UyT1fxz/gCKVw/46VxuI/Mi3q0Dl75rL7qcEP/rf/BrQ1425HtfbgPazYt1G B92VdwUHTxC8II0ZHYwR92t5vkjqXSvo4BSL/bm7TI1E3nW3DdD2i6qkqHgj se/+LfQwOLHYeq8swS+Y2tLD/DcSyewqjSif+qCPHtJa8O1f1if03ruyGKA3 70/2fB9ynuUxI/zEbKKeFEToZWwWGGHjr16vsMhG4n3rM6XAHY2VdC45hF5l zIAJfnAJmVMcaST6Jpsww8xB+Zp66Sa0D9sN662w9YzLvM/pJsLvKnUrXPpU uENFswnplV79xwolHCT1K42bkP9KWyIrzGY7ukR9RfDl+35tg+0PzXY5hTah PLMwNTb4qy9eBsQRekmnGDZ48qOAV04B4U99eoUd5ihw8aaOk35aLdthZ8Il RYsFkg8R3wF/bw0wEV4jsc3bHVCqZ0tGAlsz0ncsG+2EuTb0ypGQwDljbJww P2bOyt+/GeVP/VfCDbuZhYM13zejeT38quGqpWnh1oRmdN5WLUU8EGCjjD5f iHnO2MrdsLCtK/TJJKF3/mjHC3sBZ4n8T4LXOfGFF65FXhynpWkh7r9zEx+E Fo2ijttbEP/wWQgf/MJYUWErQ2DKbDM/7L+3cVrsXAvyC68V2AtpvsluW9Bu QfmRE7Z7ocyH/GvmpgTvN7tbAFIlU+eNA1vQeYonOe6DxSahu3SmCF7kmMsB mDZhaqq7ROadGDgAo25L5RnSfCP6vZY7CJ8YtV25x/4N6XnvUg7BMwasb92k vyE/Bq64w7Be5wnHJ29Cf9DvyFFIbde6nRZI4K+G0Udh8iX+7OxwYv62+RYR +Er7y6WSdFJ/30sEXtRYCWzvJnBOt88x2H3m7vYNR1qRv2Nf4XFYW3HqFqNE K9rvuy5FDBYqMWX8J0vwvQMXxOB7hdgLHNqtaF52bUYMGsgMvD7ymMCS80fF 4biE9rbLtcS8ae3YSdiRudfgelsrcT57FCRh1YkfKQYDBK5M+iAJE4/7atz9 2Yru29pXTwreO/rVz5WnjTiPtulT8Kcg2JJ0t43Y56AyBuGgXMXzB22oj+5w GQY9Qs843XZrQ/d5OJVPBu5gvzC7N5jQC41+kIHitKb1b0sJfrNNkix80BXk 67mrHeWJbFqUh9TAsNNGgu0or+iFrAJk1Iz6J3+sHfn/OOKnAIMrP5v/UyL4 0GIRRZibUX7e1rId+XMkOSnBVd/FLTe/Elj936WzUOHc7wrZFmKevzX7LPRm oHHe09eOzuM0/S5lyPN481znIsFHOA4pQ2jC36DB24H8R64/UYFOCup+mF0H 6nvXlVEdVv7TPsPjSuBvNQrqcGveVZo/3h0oL3PSRR2GHzO2yIzoIP89XFOH 1N2O6kfqOtB+Qn50mpBuJXHrrn2diA+wFL8Ad9XKLWBHCex17tEFKPah49tN yU7kx8JQcgHeOrvp3SdVAr84pKUNK4MN9snZEpjG0fEi9JXilLpT0Yn6a9Zv 0IFxLMncLxo7Ud5bNh0dSB1U+pfaRfj/M/6sA388ty5dnSXmV1VvXIEXu+rV /Di6EDYyqbkKuR95GGbd6UL6goFeXXhCnUep26oL+XfnKd2AagLpB2gdCZze 8/kGdKoZmFZ+RegnN8jrwUFu8KA3l8D2x/j0YXzBgjc9czfCagb/DGDxy+fm h3Z0o7yvj6Eh7LzFp3metxv1ldJ1NITMLOd3BosR/DE7mpvQQjfhg9B1Al9X ZrkFxf/pZWp96kb3Z+2vaQxVVKmuitkE9nkbagwN3+05L1FM+FW7TRhDP4ne Ma5WIn+Z4n4bTphf5Rz8S/g1Him9A0P6tR9ZqPagfRJErcxgqnDGGYNLPchv JbHWDFY+Yt9+Qb8HzT8XO3gX/uRoTpKw6UH+Vk5Dd6GahnrfWgjBl2jeMoe0 xcpyPlM96P0Y01W/Dzm2JrA4LSG9inazx30orEvpsqDpRfN2EwX34ZXfFVYX 2HvxPs5/aYUtYbqoYvQu6V68zyj/zh1W0CgSY0zwIvQW9pts4KP5sJZ3AQSO mjxjA19ja+E+7wm94S4vG0jtype8n0bgH+WstpCTXcr0ZFcvvk/ae9cDdrDG Xayu/FAf4mNdHj+EUluq6V6e6EP7vs1tegjjgvUlrsr0oX00aQ/aQ7dPL8Jn tZHeqL203R5KtY9bcrj0oX00nBQfwbjDoTtN2oh5x9yLTnBH5nEVsUFi3lm/ 0Am6y1Q5r0314ftRq2LYnGFywh/rs7T9+DzzdldHZ+j15UBvz45+dF5Lh6+5 QLkJ12QGOYIXZJN0gw+F66pMTyNcs/2fnRtMtuIcaVDpx/OsXn3KcoO71z5z vrvUj/eLOa0v6Q5XtvW4Hr2L9N5RF5WewGRpCe3LQUifNhXm+RSOubiaF4QS /kMDLU/h7oraZ/yR/ahfxRZ+T+itcbNwKomYF5X44glvG73c71KC/AV/0dI/ h3v8vq/EzyC/ha/MRd6wUN8pPnWB6HNk904fqHucTSfvF9IblQrc84EhrVLZ NXQDiF/btecF5OB5bju7A+E09b/evnBbwoEFMWwA5U87qL6EKQ75EUABYV7Z JueXUF1VXVPp7AB+PmkpOekvoe+cXcolrQG838f/5Ha/gswSFeb2xkhP43Pz 1ytIX3pr6ovvAJ6v9PtalT+MClh5V+k/gN/HSsWTTQFQwdjnXGMwwjr8VxQD oCtTRsJgJNEvlbkkAK6pb7xDn03imvJA+KsnYkS5H/kZORnOB8E3n8UDtEbQ fMfO/VLBUNylSuHaJJEHM9yCoY3Aj8i7i6ifUJQk51v4w0TWwI9xENdL8u5R ewe/L/f1fhMZRHptjYFQmGnsW6wsPoj2zWHDwqBzG4z5cgphPbrZ0DC4Iyv0 brwSwfev6r6HcrZXVx9dG8TPI3LO2C4cvl1s5RTwRFjej1cgAt666fE3yAfp 5/h9r0VAkZYTA/+9RvkUo+iACFie5h+3HIrwHcsGSiSct9SUqE5DfYx+av+O hGfmay9Y9iFe51zn32jIpv/45Ngw4kd1P8nGwN4GIe5rk8ifqqPsEQOtk72G FH8i7PdtkDUWvjc/a8m5eQj5dbWIxsGl6VJfqvgQfp6R3ZWhCbDourXVCekh XB8ORWYToHft3ksJskPo8+TzRDYR8ie57vZXQfO2WhsnEqGqmUySscEQ3ocz J0Q+CUZN5lWxvEB675EG9mR47835vSavh9B5PEhRSIYSCkMOZUEIp0Eum2RY Fcp05FEkyms49LwtGc6r6/hOZCO/lCLmyBQIs5a0SocQH3RhQTsNMt58/nHP BPKfEmP2TYNNW3fTO8wQfXeXV6bBWyaKmcdW0PxK/V6YDr15/Dneswyjz+dg pkgG7HA71vNQchh9n3VWi2fBCJGyE9/gMK4/+6vSPgua9Vx+IaKA9EL87l+y II2EMzamNoyfzy4H6XPZUHCy7sOFm4hnfjBtmgOt1c2Mjvoi7B/O35IHWXhi Z4eHEVZfKoilQpmLbj1DEyjP/axtCxVa+t6oHpxBfPtkOG0RbKXliO3/NYyf Z5ihxvUiGDbqqdvNPIL3USwGXMVQONmktllsBJ//mCiTWAL1JpTymiQRVo+P 7CuBr/j3xjfCEXQfkl7spXDJv8u9/gziFVamnEph4UMV6epryE+jh+d6GVSV F04sdh9B982sLVoBHR8xBRc9Q/PPy4PNK2ByxqgH9QWaXx2yS6qA7AfeGxQG ofmObvrDlfj/r7dy5X4cwfsPm/od+QrNWuc9U1qQXsYvRqMaet/JMAoXGMX9 Vjm1tjbASZkkz82HEL4p6g0a4GmO6ATbo6O43xN+YNoA6Sr8Z1SkRnG/V1s2 VzbAhwLWtivnEf8Zs3vaCI36RD00HdC8iUHw7mZYmnkorsAZ8SuS3VrNkP8F f9UBD4Sj6RKeNcMe6W0s//xG8f3eP/q+1AwvvJ0PSIwZxfvB/YfaW6CsdnL0 xiaEFUwLM1thmFBchXkbymf2UP3ZClc3hE90dqN51plHYm0wO9X3SMoY4pPP Fae3QeGt5hnX/yLeTm5LQTvkrj5SlnlgDPfrvL8y3QmXZBKHbzuN4X3KXmd1 9cH8qO/v7NzH8P5VIoXb+6Ero5CWxzNCX/kH9EOWho9Fka+R/ib08u2Hgjc+ hfXGIswEWCQG4MXHKZcvNKD5N4dg0CDkHpjfYvhtDO/jGrSvfBAOKohW3O9E fnJSVouD8B5z2gnfYcQfGZfXHIIe79K3Vf1CvFl03bZhmJGTVYPxjeP+Vn/3 x41Ae55fbmqC4zi/WbuiewTKuJw8df0w4k2OtrOOwpozOfH2J8bx/AAZjcej cLgt1yPj7Di+v0xAus4YZF8qkDlsieab57oPTEBr0dL0HSUIjz9y2DcNjcR4 w19WIr/mjMvm0/Cy+CMv5jrE/7RoyZmGp6TEDOg6EM41T1CfgXRyUVtmZhBe ox15Mgt9NdxNyrgmsFqVtc7ATfMwwUKB19pyAu8jdtS1YQGGWIZvnrWbQN9v ++b/LUAf69WlO49x7JzwPOvoIrR4kF57wxPpXw4r+y1CCWcBh3NhE3gf86/e 2j9hqe/GVv4qhNP3284twb5PpV6NfJN4HruUj9Fv2DC9cUp0/yTO37AIff8b UoUUVfyFJvE8Jr7f7b9heEIZ8yWJSUwsTRILVPkDDWLKfbpVJvG8uCQFiVU4 GlrpO2aH49HglQzONTjtXfP6by0+T92wR42eFuutZl7UbZ7EjqdtiQ3aR4vV MaleoLYj/88+i4q02CfPWna3IZxfKOHv9qDFLNzrAhhXcN5Z9qIyhQ5bdGh4 wybwHXvLyVD0ZMsG7I9Jy7uD9t8xMauYi4E76LEL4tdfCjt9x4xjVrz3i9Fj H2lHPY67f8dqvc8sBWvQY7pBy/fBCzSfG8HlTY8VlXGd0YjA+RqTVc1/9NhT Xv3FB1Xf8T72HbndDFj/94mJx/W4/4Jrpf4yA3Yyy7LPtQXnqZVy5aybsElV 9yrvXpxP07ItUNyEqTrEhof/QPyHZM6ETRhb67RKJdcUjp07mQwYMbMPtnK1 e6bw98nA+pQdI1Zq9k+iSWAK7ysw/tuLEbPdwLq3WxjHgi58nOmMWH1dMMfA cXyeZvuR+xWM2IG3/CyjJ3HsHBGm3MmIdYiIrczKTeH39bLMao0RE13Nn1k8 PYXvm3g7fwsFe16hOLyigvTmqg94KZi07qX6DZdwfcdNuVMyFCzgYH8p4zW8 z8K/71LnKdjM4u3c//RRPxum99cp2Hsv++idpshf1fTJAwr26+KGd9wWOG8V +uufOwVT5/f247NB/Xlf1vtRsPhpdg9BezSfJj/3joLR5YQ6HHZCeQk7dGMo 2FV3wfsi7rje6CDj9mQKln7+s9GJZ+h8rFhYcygY866T16ReIHyeQ62Igt0a pWpgrxE2+q+ykoIVppw9rRCE/JPr7Osp2I7HTdJnQ9G+/eIG3yiY+ZmromoR qF8/l30nBatkG96vFYvmlZULeykYX58Zz+WPiJ/zPTRIwewTfm67noLjtFup ucMUrMnGkdEgE+83GmBtMkrBDstuWjPKQ31vBJ4Yo2DJCYn726koL8iXCcdi 7OoaZ8txXHP0YuUIBct+vGifW430CQ/uDOHnPRYUdbgR3afOk/E+CkZVB3Uh rXgfmaebZboomGLuwPJ/3eh+skNM8P5Vez34nAbQea/UGtRRMDWfQ+fmRpEe k9xbjvdbqrPWn0L7tDvG5FOwS3pWYU3z6DwWlMZSKFj3152V8stoXkS+P5qC 6R3Pn09fxTGnhoh3EAUbDtHbJUg3jfNzbSPPKNgdBnrFN5umUb9t4w8pmGWH atDDbTjP+fJnozYFW5L7UTS5cxrPG4r/LEvBHD4Gfr/KM43VMssx8wtRMHen PggPTKPv46WUVUaMccLt9ucjyO+mZvkgI+ajeeAV73Fc7+3DdB1/fwP33R+h gzgf8yeGxpsR4/LdvsVafhq/D8cH9GaM2PtfOSdHzuD8qJrHI2VGLK6azrtC C8dGw9xpdIxYzn1/Ue87uJ7NCEze2ITBrpPX/t7D8/Xsavcf34QVK/Q8uWeN +n7/Qd24CavaKdih7oTvo/P0w78IBqy7IMtpewDeRyVTxr+aHtPbfy3e4y06 j1G5Vy/psRE/mubl9yj/3a5xbXpsxvCsYGcC6hc3Ft6xEaNh6qoJo6L5H7c9 azdg7lZOS1vKcSzkUuDmsQGj9OzldanG58vFZmbABmxbspmVYSvuv+KodTiO DhO4uMZ5YArNj1SvmtBipyP4jFN2zuB9bZfjbv6FYkEsguXcM/j53B7+mb0K eV/8Ge7km8HvNz89bfMq/P3wm8FGIVxPczrs58ffMEnjme4lGZy32hjFOLgM 2Wjntf/eRnyRR4T4D0iz3MO+7d4Mfl9rhvqu83BqqqpZ0Ar3H63W/Vs3B8vb ozTUH+N8zXLO/rYZ+DD5smrkS5RHs1psPgGNYhSZswNxXqUpUo13HGqGiFbX vEPzdnNd30ahkCfz2aVoHBvt/Z2qMQz7blAVzuYiPy/NUJE+WKOdtEH3C+pj t5y90g2zz70ttixF/qLPAps74SsJa5mQOoRXpNLzW6HTEf1/yc1I/0Xifm0L NNurVljWjvzfe43NN0HFLQekZweR/5qP4HwdFKXf/mfDOJqPrh7Pqoa7/9Dm ckwjXvdwRUIl3Dw/8+DIjxn8fjfbRleVwV+jXRJyy4j3e6XIUQJHuiuXLq4i /muogj8VNjVlZJjSzuL5pX+POubDwsoIa2eGWVzfsMoumg0TC32PB2xGOLne UiEdBqU/+hG/dRafH3HYm5EM3RPupBRun8X7mAqLb0qE98MvWjRzzeL9Ge6X XY+GuoHyR8f3IH/G8P2m4fCct8jMqgDCfpvULwXBk648SayHEBZ5onTiJRR4 wGQmeJSY199U5QFZ7y0fOiWG8r0/RdxygGuGwxPnJWeJv3/v2mUGJ3Ua425C pDeqo92jDdvOFxo/lJ8l/l64eetBWKqYKPjiDIEfeqqywJRTQSMRqqjv8YLP qsow7NiTqCxNwq/FlscQPt9vaVhzCel1vt2OsoR2PDf4B64R/kdpdjtCA3WR i936qC/vgPKHJ1DNjfZ5mxHSc7ZSpryh4ETkfK0FwvGKQTcD4TZum31fbYh8 Nhqbt/CvmpJOqT2al1EutAiD4y47fb44IdwQq7P7A2xJH6fmuiN9h4xLXwSk juUsZjxD/C++UvMomMjldSDlBerf5X+oNBoGql679vE16ifItqM5Bro6H/GL DUL7CLx09o+F99LWSiJCkb5aV4ouDuqM1i+HRiD/os8CHHFQgfPD4eBYxLN5 GLXEQhEVyxv+H4l8/WCJWMjtJP/aNwX5t36ZVIiBm1LZK55nIv4Zz1G6aPhj eOT3kzyi/9SgXSTs3Zkl7EJF+aUR21M+wCplT4NHZYjvr7SxfQ8zHusE2lUh nPws79w76D305+/dFqRXKaEpewUf7Kg9dqcD8XraEbd8oOHZsFs3e4n7uTgx hJ/3I/PgG0PEfeRt8HGEUp9laq+ME/ubMDy1goKDrLQXpwk93f5/tyDr9iEx jR8E9htUvABXT6ffVllG/jTDh1IlISbW+rT8N4HnAni44f+jP4nj "]], Line[CompressedData[" 1:eJxFWHc4l20blv2jYUep7ChKkVLu+1EksygykpC0bFFEZJOEJCQUESmys8ko e0SRJGUUZe/1/e7ned7j++d9j/M4x3Ve1/2o1ytobnv6Ei0NDY039R/o3z8G uIpjacexy5aWs4+28UMN4YEDW5hxrF6yYgLLixubH7OMYzHR0YcTl62h3Nm8 q9wbxjFZmanGlOZbMH0sju7hJqRnHHnm4QWFAv2fsnGMYzQ0CbkwKhBGCdkd DOEaxxobND/4FobCjcUGraybkZ/ut/xwBPTRO3o9kA/lUz6oS0fDhX8SDEz8 CKf6xVo/hTYBHPE+23EspVKaAH8JLh2iFUT5dscE4p5Do6KfbR7CCPcNfTqR BFt0G6xWRJHepWF7xguo8i+H8bY43p/mUF0yLPZ/mjC/C/dLLYWlwP2Cfoed pRD/Y3J03UuYUmjzaWov6petv4/3JeTX1bex34+wI619RwoM/4sxj8ni+elv FVIgs7/4c6uDaH+efyJnkuEdAXaFP/KI59szvuMFnH630HFZAeHfIuOvEuG1 M/22AxDdI4nVdd1z2DdaR7l4FPF3FfglE6CeX3ZinxKa5+1QZhcL63bEAhMV hH/6b74cBRXf+Xz+qormif3+cjYC5p22tjfUQLhzVt44FEqO6rF+1kL56XsN dgbCAl3NsiBthNdHTifdhUolxxzhGaRP3nFe2Rk2icrvnNTD9zW6FHoZGoXs /frCAH//o6JXdODgrOgDw3P4/VI3T2yDDhf4lTaYoPvRXEmdEIKrtRxz5aY4 dtgZqwsDpSmvblzE37vZh9sackWvmYhb4nl92dvcYcK6WY6eK3i/Ip+oACh5 bbTmwXWUb2iyWhkOC9r6XZVskL5Ge7wwBiof6dozZ4dwpP9NgeewObG5P80R 9U08lpWRAo3W10SaOOP349q76Q0cvFGszuGC+liYDydkQYdvWavVtxFm3vA2 KQ+uHE/NcrmD9Jce6HAWwYA38ZZSdxHfkvNqtAxybY7c8sMbzStW5Y6qhAke wU0RfqjvaaFLNtVQctjLSzUQ6ZXHHtz6AJXe2f7JCEH6qLd5Is2wSdAy7mLY OCYj0/NV1rwVGgUZn94cgfRVtXlq7dDhnFrhnWikP7iYbvwZJqwIBWklIVzg JQ/6oKQlH1yXgual0W249QPmN22azEml9uUbOSNU1A+b4pcN+TPQ/hdXmA0G 4MrRTomRd1S95okmg94/0Mgv8GNAM5WfctjTqjcFB/95uCu0ofn1e1d4pqG9 vvO+8U+IL8sw+zINA8QvRut3o7wd7LTnZmFencJVsQGEY1sVjRYg56Zx5qpF an5w00W3rWuwrSTIX22F2jf50Ip72RoMtxJlbF5D/eumKqVpMI46I7pu+glM xvGVzqtmKvatXhnbOIHRmMZfWltbh7XJmLo5sU9Q+2on8ajRYuH9i4uLnAiz 1/0NpcXYFaXnGfiQ/7NqFT8dxrYUM7lVeAKLMbzAFSBCj7WkHrB/JkrNE/D+ y3aRHgs1aBkTE5+gzucPlUugxzblMfzdJzVB3c8m5iQPA7bR3m7oxEFq/mhW t9cEA9a0g9WyUZ6KJQ+cKBdhxEKaXvw6rUDVPzyoGXqWEdsg+fXH+aPUPJXH /4ZzGbH1Q8d7HDWQ37Ei9CIT1vCoz2hBizq//AKb0z0mLFj5dtcdbdSvY2nq LRPG+jyzM1AP8f21HxeZsDptDb1NBlR/sOZu0W3MWNDaQHuEERWvp5MUgcwY y/mtrfEXqPNlTFo3uzFjdax5p0TN0T5ZBzmiqfpC7aY0C6q+wbywKIcZo/D6 1edepeodK1fEh5mxDzUC6keskH7WZWqNGQtwKvpQbkPtE/3R15WHgjG3j1fX O1L7KE63N2AU7MPde8o6zlSeT+ZB/GkKFiAt9r7zFpof8wFYUDDV7+VHjW9T 9TS2117doGBMIefKf7gjPsRm1JuC1SjMwsueaJ+lHvpwCuY3Eloy6oXez7tu Po6CqcTsVnDwpeZ3XdJvSKNgjGo1hXP+qD/HG+9cqn/OVN49CPHj64TLqP7k pXza+2je/pA3tVS/XqRcwAOEcyN2NVMwBvp9uRvC0X0njJ90ULCqrHqZhxGo /8R+hq8UzMfMMov3McrTtbT6TsGU2dbti4tGvLlaRz8Foy97kiEci/ptl1Ye oGDdCsqq3+NQnh9z2yAFyygc7Yt5Rr1fcluH8hA179Ajl7NJ6L5VW55TeaM8 wMGRgvKm9Md+UTBp2cG0xlT0vmUs+6n5jFkhSoHpCOun2/ZSsJ69B3uUM6h5 gzWZr7so2NvX32/QZKH34fCbaKfuuztgQ3EO6mP5ULGRghmnSiffzKfyYuqH Eqop2P6dXVCmEOUN1HOXUN/vxd3P/4rR/bRik7MpWK/QLru0MtSv969+KgXL TmhjtqxEfNziHur9TWKFD3+rRXlls+a+FEx2S0NbVB3CDwXrblIwStSN67qN 6PsIdL9+lYLlPKyOrW+j5mX/yLVTp2BB7DYH/DvQPc0u98pTMNMHPE3HvqD7 hExFi1Mw1nuX1959Q/M2pm+gp2B9zGxRTn1ov7kjzePMWJ5fgfS+nygfWE/0 MGPmXhTzl8Pofs87rmYzYwUur6oip1CfL8eTDZmxkLkz50/Povf2ahs+yoxd dFqe2bCA9Eqv30gwU39+tXb6rqJ7ijh9mmPCLl0ZC3SkTFL7He6bCWHCOPRl TmnvmKTeC/6rfcWIXZct6qJoTFL3eeYunUePlbd0pBdoUbGjg9v2SHqM23rc 47L2JPX7vY1NO9FjZS9Exar1qH7PAM0LB+gxzs2hDp6m1HxDvZBr2XRY0YIF 65wT0ou7/n5Ni7GWbQS/EibR3x8LbCk0mOk5CbaHiZPUP+/NM3f502C5c0o/ jyajPsV3jS7TYBekXQLjX01S+zeurO2kwbKf/ewwykP+EeUp3TV4zqfAprUe zU87EX11Bb5SM08onaXO03wy0l29AGUlBSG2gPik6O6wBVi6se9r2RLidTu2 myzAlvbzmytopqg/n1t9nefm4fR5w5D3LFPUecNBVlLzEDpou33YTuWzp6Tf Js/Clhho0KYyRc1T3ZPePAUN3VdmTqtR9ZZHZF8mTcH+C8UP2zWmqPdPpvnr MgWnRQ43f9Keor53W7i26BTkyzig8tkI6Yfj3Dwmofl7SdkeGyqveUVC7egE nBnZwjYYifhtuVmTf2HE06Ha2GhqXrTHqtPLv1DmVI7HmVjU1/VMh8lfaJ+l NVb+DPGcUpcaR+HfW55NT9LRPJebOW9H4ADDYLBOJcLPEs0if0Of/Cxl5mpq f5rGbwF6v6HwVY/l0lqE7zhh3L+hWQOvlWQj0hub6EcOw2/hGhpMX1D+1xNb 4odgx463lJK/qJ9N0u66AXij1b3CcRxh7+kfYQOQ01vdZdcUwgIdfEYDUGfw 5/DjeZSvU8sy+gs2pvN8cKCbpuYb/P7C/QtWy7v5ifNNU/OL1M09+2HumRN0 EcrT1P34FA6d/Q4DNAp8+U8g/keFLPN3aKwkwfxCbZqad8X4Z2EvpJVh3ZB3 cpo6T/2OjlAvPMnRzPPFAPkf+Wku9MDhlrO7+K2RXq49pqYbFn2oTU+yRXk6 y1u9u2FI+aG9Ug4IU6IPK3ZD2cwtsvAm8g/IaxR3wbsPeoHpXYRd6h8XfYFb TlrqJD1CeW47Wjs64d/jn9sloxBWMI560gnLgerZ3BjUx3Xlt1kntJTada4m Hu3r92vneAfMXv/PYjgV6RmH/nF0QM16p1uSpYj3cc2xa4ceqr7xOYPT1J+H HTVNvi2wzeSKsfRvhF1evjzXAkWcNPjSR5C/6uvQvhZY94z9YeI4wqPuomXN kGvpqV/4Iuq7U4zBowm+fJ1nbbdxhrqfb6qAUANcfB+9a5RthtpP7kBuVz3U 6nYbusyJMAfXYlg9nGRUMrvAO0PN60kIoa+HCqbNuieFZqh5KXYFEx9hC8fw EUk5hNf2Vv2phUIS9fMph2bQ9zKell4LnbA3ucJHEDZN2WVbC7dY3di7VRHp lXzGZmqgRTWNMIs6yk8yucpSA+dv8rEMn0d6TbcFrSoo+E39S6Iv6ns1b0Ku AgZVHsnQC0D9StNfMVTAyRRJP6Z7CDMyjH4qh5UOG2WvhyJ8zG3xRjm0YG57 sP8Jmnd73xnnMvhSxvBERSbia0QsS4ohG5/6dsdsxC89sbtWDF1WD8+I5KE+ 5VEXeIuh+kf+xIAixE99++FcBEdM+lZP1SD+1vBBWAj3BF3O6/2K8uK2wel8 GGlrcD+0F+m96fze5MM1XTWLYz8Q/ln94Go+bNmxmyN5EPm/DPf9yIP2uf+s rScQv3Xy2NdcmNPnJLrMOIt+v/h6YSwb8tdYLr+mzFLz/xn25WRD31f67RfW z1L987P0t7PhWWf5u+/ZZ9HfPwUylGw4x7rSE8Q/S/0+Ru7OS2bBwwd9Ivj2 I//J4dzQTNhpzif3VBbxdDvnzTOhY8ibzwIHEX9WJvtAJkwf+LJFXAHPG9v2 LgNuj5B6JqeCcBdwufAG0k50vj5jhPRy9393vIJx/FanPhsj7JflHPAKHlFd N2F0AfWjWWo98greiN8ta26BsGnDn6Q0OKjlWWhng3DCeWvPVFifJlF73wth z90M51Lglc7SK+y+KC/PK5AvBdLT6rI88p9Fv9+6lHxJhtDwjlZsMOJroJRh Msxkam9Pi0TYct2y2QsYYeHWV5uG8vpu9IclQulQdi+N1/j8b5FGibCxKFm4 OQPtI5/ZJ5wIGTlbLTtz0L35w/YUPIe3KkT//ipF+vKRwKFn0Hh788K6dryP OI1pAtzI55Bb1IH87xxvSSXACk5ue6cvSK8YxzoXD8Uo54aHv+G8Ttb+eDg2 NdjZPIzfZ/xa/lPo9XE1++kq2kdmsGMqBspWPbPVXzdHxZw94/ExcKhUeTc7 /Rzqq8OgFQM1c4Ke+1DmkD9tU1o05I7nCbvOhfRTSia2UfDljT028rtwLBcr EgmNbFslpiSRXkyN4/sjuOHajYH0vXPUPgtdBjGPqL9vFhoLHEB8sshJzkfw iLqKBpMi8st4RW+MgE07TMQ79ND8hBcfxMOh55Z1v0IM5qjfy5mmI2NhUIY7 KV71HPKrjBvnhcEolj88xab4PI1nKmHQfMaJIfE68tOkLNuEwpm6+/12dxFv OVxZeB/2sHZcWfZGfQwPj5jdh5Wa/GP+fkhfHsjGch+GNqUtxd1DWNHsxPlg uKutlqvxEa435N90D5p0rTshkYbyBoMl4wKg8ha1xpx0nH89fiYA7j4XekYx A+3j+DOQJQDO92w31c/B8x32u/rD8L4jLr6leP7rbRf9YM2Q06sfbThuum3o A9PFS/ZZd6A8PubgrT7w4VX6gvnPc9Tvo8HzVK83NB0Jr9r0Dd/PafiSN1z8 l/ENDKH7THlJuXvBvbO/N8Us4fpZqzpPyHNwX6ToKr5/Y3ukJ1y+eYv/Lc08 wodbL3rCugVGiQ8M8+j/B0RxrHlAixXhY7Ob5tHPw2bv23dgFL3JjdMiiOf7 MpVyG65e3HygVWwevRd73Znb0OJ9y8wpiXn056XcQ5rbUNpL6abWHlzfM2Xs Cj+sibuqHsLzpVMEXODc4pQH1ETzB90yW52hsdFrxZKTKC+7L+ieM6x8Z7lO QQf3++xTcYYht7q85M/iffK7S5yg2Gypr6wpPv+kad4NeHYi8N6uG/PU/WV+ W9Y5wGJtJc1UZ3yeIXOoAxTKXF4v7oL4bDW9sw7wn41tiOgdXL/vzy976Duq GyYQgM8baaDYw5yhHY95YvF8mq4fNnDLiS79R3Fov4ah75420DM5nJfrGX4/ K0ZBG6h5iSGGPRnXR76wsIa/+v/Ers9EfWlEO+evQ87e3Oe0Vbh/0fL0VRiy 3t09vwbnXeWXrkCWI8oGVh9xzLjzxRVIG9W2obMJ7591fPkynNQZu5Xaheff kc23hC3V4qe0x/C8ILbzFlBzekyCYRLnY9h4LOAHoXz6wmkcFy40X4RlHscL hRdxffttlYvwjby56Bz9Asq/OQnMYfDrJ0tPt+A43EjXFDL3mHee3raA9F2p W0yhD8uut0wCCyjP0P79BXj7coGlvSiOhTf/MoHXBDtalaVx/8dgufNQ9dHG lyPHcQw0+Y1g1fsOrwRVHDvWlBpCxcnY83oaeH63q7khPHhqN2eZNp730eu1 AfXPL9U74edwXvuFjj5kcL+rK2+P81qUZl2YMzG6UOaI8/R2AbrQwtIgXsV5 Ad1vOO+YLqw6tffPmdu4nu/ruzPQR+ibh43vAnrvNdms05D+w6FXidEL6P0i WT5qwxyFJO1dsXhenPoDbWjxdtNsZhzOGyif1YZVMYOKpYk43lXQcAp6W0d0 fnmN6+0qtp2EtJzj6zZW4vPGhlfVYZb/uZSIKkL/KkEdmi/XaG6txfHpBCV1 WDnw9LF4A97Xk+u+GvQq0JBS6sT5znIpVbjOJMXg1h+cT9ideBxmtnGsro7i uNz17HFoeuJOou8YPn+8huU4LJfW+xc+jWNldWdl6ElH5/N6Fe/DmWqgBGlS TTL6ORYRH6GuehTWjH62iefGseZP+qMwWFpnjzHvInofLbtKRbi5QOl1x7ZF 1EfFSFER7qkVf/VBfBHlKe0OgdB4YDL5DcT10TxLh6n/vWVlef0onmcx/eAw HLYaEBVXxvVPjMUOQ8fpz0nP1HB+OU9fHgbRlTyP0CX60DUchO8E/eNcr+Hz tufOysI7l2hMDlrj+YH9z2ShcqrLtmlbPM9R66QsbJG2irV2wnn2ujQZOIzp xJh6LqL39f5jvx++8a4z3Oa9iN/3vth+eKNWia/bF8/fqNWzD66dlIs6cw/H q+wa+yCPydZIlUgcD6oekIY9zyL06KLx/N91v/bC5wMbuMuf4LiLxmwvlLKm iZB/RtxD7cIeqOw2ECaZjvt5gh0koUNMxn2OSpxPlPgnDvOXY/wrq/B9gxn8 xeGyid9dh1pcz3hNUBz6C593amvA+YZ8o50wNp3lfPhnnPdr7xWFPzbOnj3W TdzDzFsUitn/0J7swbHEKQlRmHmgQPl0P76vtJyLCKwuvSTJ8ZeYlyYuDFkE dcQqx3C+JeOzENT2VhBwmMTvlTjmLwS7T3Bytc0R+7OOCsJ/LeVLYbRLeL9j lQKQ9+fWenbeJbRP+16VbfD8cabqii1LKE8gsZYfPk+ZLLXfhvOOLBr8UNLq Y1arEI6zn+hvhUdnnGPCpJZQHytmfz7op28ecVQa5x+abeaDDe+0Qib247yk ayovPHtHxEvnEJ5v+rFtM7zG1HaVXQnn16vK88CMqyUXK44T/QY7ueF0/cvz 9qpEPqczN/QI9dBp1cJ5v7UCLhjBJyUfZrCE7uXip80JS3YHMLPbEP2fV7BB uU+bG8PtcP5dkisbzHRLCeNyxDFfkSwbfN5Ys4X3Fp4fvNVgEwywZZDa4YX7 y1u1NsB1vI8mEnxwfZdEy3roWi6SJ+RP7G+lux5asytjYsE4bxhlzgpPZ3vp SEXifsXyCAqsP8fBkxFF7PdWlAKV6Z93Sz8h8gwKmOFBvYqLsglEn1f9TJB/ bs3pSBqub+hUZ4RDh91j1EqJvCMWdND05/oL9eWE/tMGOth9L1ZY6z2u16wr oIUNPUXp2h+IecUctDDrzmKpftsS+h6mtnXSwN07g7y7PuH3s+QNooFJzXyq 5z4TeeoYDXwsIN9q0kPwLkZrwK3y5s9Lg0R+j9QKmLnG9HJomODhy2Vgw/nY 6uoIcY9mkWVgZpE3YzWO9/U8IbIEVBhnmG4sErjmyAJgV3eQ9Nq4jOObNTMg oWIT62F2HNOo6c8AafnXvyc4l/E+bH+mwUnx4WQzvmX8HoHc0yCI0UTwqAjh 5/WeBHx3ltbmxZbRfjK0wpPg5UxUb6YEwb+qmgC1v9qfCOxdxr//nRsmAP17 NR6aw8uor4yExRh4eHhoOl8Bnxd9tfQfEMryabfFiHlTW/8BxWdlod+ViX6P vo8Cd48DrGWnCL438A+YPSJIc+cSwXuYDALf7NLeA1eI/G2/BgDXbuOSv9fw +ZYHrQaAzJbHruftCP9B71/Abn79jMJtor9XfT9Ys01rn3YncK15PwgZOpGV 7kn027r8A6R3etny+xH8mOwP8Dtn/vdSKJGn7fod3JKM/JD9kMDltb2AOUkm 5XokgV15e4HYQxuLr0+IvulVPcDc/ldvYTLR97ZyN+iRaml3KSZwfGcHiB9h d6crI7C8SQcwTz0jdr+C2Gd66BP4LfL5VkINkadC+wnMbu3dVttC8PPabaCw a0etdjvRN/V3K3B/bGbX3UHw4T6tgJ5zoPJvN+E3Km8B7Cyjl7kGCN4vtgl8 qpVijxsiMOPfRhDla1u48w/Rx1+xEWxfN7X+yBjB503UA8n5hbdmC8S+t9w+ ApVBpuU3G1ZwfEOwGlCS1F4cYlvB/SPPq0CD2b2TlRwEvidWBc582/isYzOh D5V7D0w/cassC67g/b7YVwCRcP0xX5EVfN5ppgowdCo6atPOFXw//7hyYFPP PyIkuYK/FyW5DNyuFA5VkyPy36cXA+h5Sb79EJGXOVcEaGFKv/ERQh+oVgQC 3u06YKdI4LvT70Bk5r7uSHXCf9EpHxjaOHoLaBHzz/bmAX7JXMm0U+Q+Gnkg MeWQR4ku4X+3OxdkxmEiv0yIftm82WDKdYrJzIyYP/4kC8jpp4x8u0joo4Wy QNGmTdmfrxD4qvxbUOPZe7TegdBLM2QA5vPhoqpOxH2WD70BGvIqlOqbhF7e /jVomXjdUupG9En88wp8NXe/kOVH7s+dCrZj+5T2BhJ+yasvgenWAbH0e+T8 9ylgsF3z34tQgud3Swbjyvzu0THEvnliSUBGsMWU5ymRp/Q4ETiveCs/jCf6 2bEngqXcEdb7SUTeAvNzwLizKMbzDZGXzpUA1Ohs76xkkvfB4kHwdyFz12wi 39I8DrBHBUncKCD4rpRYwE8xKrhcSeSzuUaDCwMbYn9VkferigLPKyo8zGoJ PyNDFNjpKnHiXAO5/+tIsH9kvuNkJzF/lCsCONWmv6v/Qvhp7B+CgkTTp6pf Cd5qMBwA4w8Wx/rIfhVhwPOQm2pZP9nvcBio5JKWVBgg750dClQbH08d+EPk eWo+AEGpGp+zRglsej4ENPquFe4dI/pk698Hp+FlL4lpgi9/dg+cz5Bj37ZK 5CfrBYA8o/mNLTSrBG/vDzYyFq73plvF/Zz+fuDy29sscoyr+Hy+Vl9QbgyY fzMTfDu7L+BlXmOIZSV4+aM+wD67nO7UxlXivUO9QZ2J1zpadoKP/uAFhFiU 13I4V/Hvk5PPC7jmMqxc5iH0613vgnbT2sUtfEQf0z5P4JOvPuu5neA1D3iA HvP10zKCRJ4h4x1wYGPTxKAw2b/aDYS8ezAWLUbog7/fBoMWOn81JUh/mSuA bJwja7sJf9eoC3hc9Gk4aw/pb7sFVDkMfvHKkv6dN0FCCV9/vRzB02DOYOHK 1+935AnsedUJpJWZfP0Fyf4hjoD2ukDX46Or+H3F+hzAOZ7+TnVlUt9tD3Iq Ej+tqJD3pNiD9daX2jLViHtk77QDFrw7Wy5qEv5BSVtQ8n64kecUiWutAY9t Wv1HHeL+MiNWwGaL1Uc3XTLv+3VQUy1Vu1ef0FuutwI77Meq+g3J+y9dBbf4 31Y+Mibzqq+AllqHctULRP+GK5eBuKNs6ZIZyQ9agrvbZ4veWBDzsnUvge6P +e/MLpP6Pguw38kln+saiWksQJDAkdxaK3Jf3ovgZ/1ylqstsZ+MgDlQuFma KeVA6hPNQISQ55u+G2R/djMw1+z3It2DvLe/MdC+rZp4wYvs/8IIvBRjecbh S+JCQ7CurT6u2p/c94o+MHK/H3sriLwPtz7IEj8Vs/s+idP0AOsntqjeByR2 1wUWHm2PwsJJbK4LindFPFR+ROYlnwFcnXphc4/JPjKngfXdzQ/SYkh+SRvU SHYFn39K9knQBtu/xASxJZD8+Cng7G0c8P456b92EjTv2e7n/ILUP1YD4t3f vSVeknyxGvD0fXa3J43s8/g4iLlizTGYQfL8x0G2hnziWM7/sSKIv34jn7wn lwpo2MMgu/COxB8UgaHA9WX3YlJ/QwkMsrdW0ZaReFURONAdvO9fQepFFMDa dKze+iqSD4YgeJB2e1jNf/0UAO+XK4PcH8n+xw+DFx+b3sTUk9j3CNhfJHtz RxOZNwpAaXoMltTy3/eyH2jE0TBLtJP6VDnw5YFly+sO8l7bZYDF3Yao/V9I feghMOGw3yy/m7zH173gjkWUhMI30s+gUMJydnWi/DvplxMGj09YFB7vJ/XC h4GIfJ1X3S8Ss+4GmbukNU4Nkfn0YgDwR3J++k3mdXGDug3LXw1G/3t/YXB2 zSzp2z9SHysEfo7XWplPkHzIHmDXL3VgaIr064iD5faHK9dnSd5vBwisXqge nye//ynaEp78CyFOSyRfwwsSX1afXVwh/SWyQDpm9w4PmjUC840rFN8LG6Kj WyPuXy5couY+lxHAQGLTvSWdNudvbWBeI/odVioxN32vGM5C8gWSYExHgrJ5 wxox7yw3cFN60PpkE6m3Wg8oB2aiBThIPm8HiBQ7Z/6Ci5zftVIsxFuxa9fm NeJ+2QPFGZSdU2/4SD+/JFBYCi6S4SfnaXODD6OT3gXbSV6BE+j1GmgCQTLf mQ/0N5dyVQqTWIyuxLZC5JuKGImTt4PlrKAX9eKkv2FIISBp3Fp793/5nCXc kWflOqTIftGLxc/9i1cNpf/LYyzZ4yJU27uf1CcIlhRdC3hw8QDJ+0mWqBr/ 0x8+SOani4NPWroC1of/w6zADCscnlAgcfCUwj9pgbfOGIk/iZa4Cvm5LB1d I96TTriEiWv0qKfyf/dhBREMp1kYTpDzW/aUCMzltwWqkZjmpcLr4W1PNmr+ p+cpCXjqa9p7kswv5gQWp/+KvtEh93srBhSZ9EbcdUn8TqKEv7g4U0ufxC6b gOm17V13DElMkQL/A83hHL8= "]], Line[{{1.9878865991090657`, 1.3543031775831691`*^-13}, { 1.9883306963618566`, 9.062695038863922*^-13}, { 1.9892207977123333`, -2.89226284456659*^-13}, { 1.9897035508114822`, -1.943245564461904*^-12}, { 1.9897035508114822`, -1.943245564461904*^-12}}], Line[{{0.004330457838550809, 1.1988882109292831`*^-12}, { 0.005417489561734625, 1.1713324754580868`*^-12}}], Line[{{0.0015835426096924678`, 6.097257421178171*^-12}, { 0.002498553563646729, 1.0477591017021837`*^-12}}], Line[{{1.9802267038864816`, 4.7192911489204125`*^-14}, { 1.9808078253096302`, 2.6126454994956467`*^-14}, {1.980820001269057, 1.0421663532156345`*^-13}}], Line[{{1.9914196500123493`, -1.2427836537654003`*^-13}, { 1.9924419094414973`, -1.32275532039995*^-13}, { 1.9931356869355459`, -1.8540169399727802`*^-13}, { 1.9933221566670647`, 6.364575533268636*^-13}}], Line[{{1.9640987058303465`, -1.70086167372574*^-14}, { 1.9649921707182232`, 9.880984919163894*^-16}, { 1.965678597943036, -4.352074256530614*^-15}, { 1.965678597943036, -4.352074256530614*^-15}}], Line[{{0.026350109211944337`, 9.526427655491487*^-14}, { 0.02760281693199906, -3.456679387170425*^-14}, { 0.028216211956791783`, 2.1294077612310504`*^-14}, { 0.02843341615954314, -8.39661673524006*^-14}}], Line[{{0.03557391585864753, 2.3314683517128287`*^-15}, { 0.03680374230388991, -1.623146062001979*^-14}, { 0.03739277942159735, 4.6052051061451495`*^-14}}], Line[{{1.9972083674759915`, 2.26252905299873*^-12}, { 1.9979406775092352`, -4.681205423295865*^-12}, { 1.9988593097021097`, -5.820648409738016*^-12}, { 1.9993135319588609`, -1.0023341878717673`*^-11}, { 1.9999999591836735`, 2.155316607978762*^-9}}], Line[{{0.020535767660489486`, -1.1519674103510626`*^-13}, { 0.020876025547010978`, -7.930878176409806*^-14}}], Line[{{0.010452116315053678`, -1.1190104398650648`*^-12}, { 0.011449102014118605`, 2.302713575375037*^-13}}], Line[{{1.9620347301258345`, -5.3779203312842587`*^-14}, { 1.9628231956262647`, 7.698286452750836*^-14}}], Line[{{1.9840002118990494`, 3.630651335129187*^-13}, { 1.9848985602377929`, 8.721356969942918*^-14}, { 1.9855849874626057`, -3.64885899273304*^-13}, {1.9859329599986912`, 4.297007194509206*^-13}}], Line[{{1.9730157104597952`, 8.038569809798447*^-14}, { 1.974599258106943, -1.5235159012471993`*^-14}, { 1.9752096448489642`, -1.8235413179468196`*^-14}}], Line[{{1.9955382299177344`, -5.043576667418393*^-13}, { 1.9956089530489183`, -6.962375042256369*^-13}}], Line[{{0.02215153575109261, 5.595524044110789*^-14}, { 0.02262798561728977, 5.473966457197888*^-14}, {0.02330905175845, 5.300204719560498*^-14}, {0.0233548756632668, 4.617378953104516*^-14}}], Line[{{1.982095511473139, -6.902256544094599*^-14}, { 1.9826743788441172`, 1.0635134407522997`*^-13}}], Line[{{1.9707098218150039`, 5.693223670277803*^-14}, { 1.9711700157415382`, -8.165135234605714*^-14}, { 1.971856442966351, -8.832379272405434*^-14}, {1.9719001314095574`, 2.1821433549007453`*^-14}}], Line[{{0.007984504445927354, 1.2296571932877493`*^-13}, { 0.00918978315958251, 1.4921952562474419`*^-13}, { 0.00918978315958251, 1.4921952562474419`*^-13}}], Line[{{1.976485155053046, 1.8103851751050116`*^-13}, { 1.977283163141386, 1.0511591597150983`*^-13}}], Line[{{1.9789406327784322`, 5.1596999971358246`*^-14}, { 1.9789410135779752`, 5.1808557444132934`*^-14}}], Line[{{1.9676892402150108`, -5.1936233091964824`*^-14}, { 1.967755017501798, -5.558886684298159*^-14}}], Line[{{0.02514923683282817, -1.1427525592466736`*^-13}, { 0.02514923683282817, -1.1427525592466736`*^-13}}], Line[{{0.015047899850261759`, 1.3304912727107877`*^-13}, { 0.01526052786580041, -3.606358446855049*^-13}}], Line[{{0.012881336336973713`, -3.3392733023163146`*^-13}, { 0.012881336336973713`, -3.3392733023163146`*^-13}}], Line[{{1.9871838999539597`, -3.111511048814464*^-13}, { 1.9871838999539597`, -3.111511048814464*^-13}}], Line[{{1.969434311610922, -8.776868121174176*^-14}, { 1.969434311610922, -8.776868121174176*^-14}}], Line[{{0.03060659187613595, -1.184607967275042*^-14}, { 0.031283187080755406`, -1.6930901125533637`*^-15}}], Line[{{0.0066929997658162575`, 7.759293207953989*^-13}, { 0.006747386089046483, 7.488454301096681*^-14}}], Line[{{0.016561706485730052`, 5.361822097427194*^-14}, { 0.016561706485730052`, 5.361822097427194*^-14}}], Line[{{1.960624997623548, -1.9295676167985222`*^-14}, { 1.9608736073693467`, -8.550937735662956*^-14}}], Line[{{0.03320526207637583, 2.2548629630136932`*^-14}, { 0.0342984056545659, 4.084510507595951*^-14}}], Line[{{0.018527738344276564`, -1.5812351428223792`*^-13}, { 0.019260257456407852`, 1.315503261878348*^-13}}], Line[{{0.03866828962567898, 2.0872192862952944`*^-15}, { 0.03877345108030803, -7.218670106112768*^-14}}]}, "Charting`Private`Tag$29974#4"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwtWHk8lF0YRSXJJ4QQIqWSJETk3tdOQvalpMiSJSQpUSGkyBLJWpSEENmX YeyyU9n3neyVpaTvXWb+qN/5nfOc5zzPvfPODH4LJ10rGioqqgz0H+x/sYGY UwfEYhAJcfS1eReM5xTc5Hkbi1Bhr69MpHJ7qqwZxTgkJhp9FSuAGIFzC3nj cTjvVWoJ3PrChH384hEba2trwYCrQCe8105L8BVRf/YSED4vkMpV9wppbkJf lVYkum0OU5M2r4l6i8skl8u9z022J+D+Jkt6pCtFW9nl+gm432TCZZIGm0D7 4XcJhN8tUyBzU3Up8FcCkXdQGRxttt+zopyI662/KZDYjoWKGEcmEvzOKyQa v1zNsslEor+PAVga7nY4JPUGxxoO+mBQ9m/g08dviPmOnyY1RvF/WOqi4BN6 oPCncoPh0bcEvq4EkrXtZkrvviXydVuBiPRgOoHPFD5XEXjT5Rx5wplE9Lso QxJSDQv45JxE5GFVJ3X4Oc301VHwj0vAo1pTfceBd8R8umrg0DbhDyJu7xCM zpGzIDXJ0zMYN78j9Jf2km57TTt4H0om/I2FSbzltc1pHskE/06cVPs3SeRr B4UPUQVOso9C/h57T/AT0oDDw3xJ0Ps9sf9yXRK5CNHR7n5P7I9VE9iu83xy P5mC9xcXUAQsUpssb/1TiPmkj5OKb/feahpIIfwZlmSv5RZ+/SWRSuS/LggY fkSePhCUSuwXaIO8U7cj1cZSCb91eZKZs97aTZk0Is+MFIn24ynj2LA0ov9d BHyc31NUPU3B1qokY+EFzgXkA+HveApQ2Tfd2/fyA9F/OwCpqWl9cgsfiHya R4DudICsnXI6oXeRI/0RtIkPj6NgCzWQZKW8VfojnXK+kKSRJHBlUj2D6HdY B/wapSbveUPB1OqkV/zDfNIbGUS/jrMklatl3hbamUT+LzvA4qu40cD3mYTf FW0QNXBPMW8rk+h3URbIc5skDRp8JPxo+MHsRakddBkfCf6EEqmhiT6HgyaL ch/GSnnn3K9lnKDgeAS47J7Zq2CSRejVDpJqhYyrO32ziH49Y6Vc6nWu9llZ RL7d8iQnW8nDVP2U+vBjpOqAd98idmYTenkOwJHC6n9MPJvIw36E5FD3SLLM LJvwLzwCyJMrk7pPKXpDORIrrcXLqTwKvslHsj3cruo5QtH3HyKVKcmtM/33 icB8J0kslh9T3p35ROQZUiBZP+I1kbH8RPSTPUUqefNsV2sIBT8VBkyVm0XX Sij15OFSyxF7u/VJCjaUBoVUfVzPWHKI/keMAAOfeiM/pOAbfOAqUuSRb0vB Jqwgz+yo8PkXFJy6i0T/4GX/EDmH8GM6QDKLp33mOkfhJ4TBp9LbYBdHLuU8 hUi0/ePz8Yq5RP5xIXDxj94rMadc4v7OyIGPXFVadTEUHHsKbJcR+3epNpfw v3oCGJskflxaziXmkxQBi3369G+48gh/EWXgb0ZnpaeYR+jHFQH3SEn5doc8 Is+iGMi55sSVH5FH9H+FAPXJg7dtSJT6IgiGr3e2ckxS+EN8pDvfnwg1MOZT 5ucHjI7Az0Mqn/Bf4gfvlpaGhK9S8EslIHsrSWYwIJ8y3ynw5ZfRi5BsCpbl B3Z3dy/J9VL0s6KA+k+Z+gpNAdG/hBdE3Xd59/Z4AaHfOgVEqASpDPQLiP4j 8qDGp+ci7f0CYv4aFWC641lewbsCwi9ZEqw8lmOybaHwiCJ4Qv/TjmutgNjn mDzge/a+pvFAIaEXVgIFey7x3Vej4DkVktZzRg+Rm4VEngIpMMFa+W0oupDI 46UJPF/eFg2rpOi5ZcFermOBCt8LKeehDtLi+id+7C0i6rtUgdyBULl3skWE /rMC6EpUjDW0omDdc8Dx0NqvncFFxHysymD7+zTtonwKPqMKYo+ZfbAbouij 1YFYOjMtN10xwceogc8iNVebRYsJXlQFXM2+W/LAhMIHKJJWxYXZRX0ofJQ6 eJY/5DySRuEfa4FpckZfsmYJwbfqgIeK5pLGbiXEvIgOYK9lDdv1moIZdEC6 Wv334roS4vOJSQcoNnqoOCyVEH6MF0Cv5slEHs5SQu9pAJzbRv+0yJcS+7mp C3bqRRp62RF4ktkQvPp2LvtUeCnR39sQnDb+u3uspBTfX06gIWjqzbKOGC8l /LWNgMVlywrl/0jEfvcag42hfdxrp0kEz2kMQi0a3VLMSER/BSMgOPGg3eQx iejfZQJINmLCu7MovMkloD874V/aTeF3XATfHaJHblCXEd8X8q4Bn0UN2QNC BO7hNQecLlQv23QpWPgqyPqZs+ztQeBo8StA9Y6NhnhSGe7PoHMVDG5wvR9v ovDnLgNXzxbqyF9llM+Lq2D3P29TVd5y4n4eNwdRtkZmwioUzGgBDn0Vvsrs WE70u2kBsiGNxeqLcsrzzALA1K5rfaRyYp8fLUDj3gwr8gShN3lwDQgjFTkd tGRC/8IKuPz8IFHDRcbzBRlZg6LUyLwCEQpfYwWornhLpimQif37WQMVVoeC OEOCJ2vagKDPhmdC7Mh4v+TnNuDLA/ki7wcU/XFbwCUhLOP6nMA/rtmCqzPs JdbJZCL/dTswrzdXer6F8JNrsAcSu7oAHCWw128HcK+sokx0leLPdQOQb6Uj AvQVBC66AXYee0lm460g9ingCLQGveXpxCqIfGGOICLcofK3MgULOINeNSPF eZMKfJ8/3jgD/i356qEbRL009U1wPUdYucOb0Ms9uAkyr++rrX5B9KMtvwl+ 8tCoFqQS9Tm7XMDZL3N1qSSi3kTXBfgEdKnFtVcQ30de3wL1oPJz8ATBu6fc AgYpLxtv/VeJ46IZVxB32UfDmp/AGx63wSjLjWbj0wTmvOoGjtYbaZ0/R+Do QjfgdF+hFVyuJPZb6gbyxU5oi96sJO7vlztgc2pf+0E/Agdl3gUK8TS6bNGV xH1euwue6M537Myg6B3cQdvObr3f5ErivGnvAXZS5de5rxT+0T1g6pJhMDRN 9Dc55wHeHonqbN8k/CYZPQFpU6E3VqOKyCv8EGz/dOJS8NUqfD+39LyAug1H v5crwReJe4NQ7m2XbwVU4f7p77xAV/v8gFUcwUuzeQPex91mxlkEP+fkDSxl q4bUq6uI81jxBsvJUSMn5yj8gg84Y/rI4iBVNeF34RF4wOw4xspKYIfGR2C3 p+LExlkCaxT4gsM6C9NVgdVEv1x/wPVQVcYmsZrY55XHgCkjIZC+gMLXPAY7 +jb6M5oIfm9gAPhNpyeiM0pgvWNPwJJk+sOfa9XEfvOfgAnLHe0v/6vB+XC7 p6D3udnBswI1RH/+QNBGLrg1eIbgc2IDQc0CU423FoW3DQLF3Hbshy1riPNQ eQay1Kts6t1riDztz8C7u9xF9iEEP/wyGNwT9d5an6jB+0c2hQIns94LcX9q iOeFeBiwDBJPRJhrifMrCgMXi4NWRgVrcf7Rf8/BhekJRX/ZWuL95vgcHEpQ f7I3nNA/UY4AnC1ve/NTavF8pgURgHFz8/jFslpiXqEXYLuQ4f2/X2qJfbS8 ABtGH1sSZgj9nHwkWPCj41P6R+hVmiLR33vmN6dY64j3r/ZL0DNSXPlUiMC0 HS9Byx5WVhG5OiKPVhSoAjes2g3qiPu8IxoU2tfmu9oTuN83Grytu2tSEkng uPYYcPfhwCu1+TrivCTiwY0MyaXvNPW4v9vXeGDRFyIfwkHgSJ9XQFNKYfyb Yj3h9/M1OLiYfOxaDMH72yaCfTxUHrRZ9cTzqikRMJw3aUqtqcfzRYm8AWvJ u52Wloh64bU3oMnMOfe+6mdi/pwkcKdFGon6+RnX3w1KAYwieROf6RrwfF9o U0HSM9GgP9wNOB/6KBW0axzpMVNuwPvX+qaB442stw5HNuD9mdPTQaVQKKdR GsEPSmcA46e7yQFlBF9RkwH8ztH8NzfZgPdPWs4EQ3WLyZ+kGnH90+ws4HbE XnP8fCOur9meDRgeT/5gu0rwvEbZQFplQM49oBHPs07zCYRXN/QiPYQ+zDYH qFa8Y2y+10TwvvlgkI8/byu4CZ/HYyEfuHrFXRJ924Trd1wqAIlIeEp4YxOe p+1MIfhD8lK4yN2M1y/RF4PnPJvTgaLNeP3Jx8Xg6P07ISQlAsdSlwADWcd+ vhvNeD6tzRLwsfiS2xSJwG/YyoAKVxc3ZweB6V+XgX533Sr1yWa83/jxcrBL +hxTJmML3u/QETK4ViCZ5nqlBefpDCrAvlzmQWrqVjzv8cUqYBr0R3+cvRXv n6hdDd5YTjTWCrfiestP1UCYrago0JjQf/CsAQpuV1+wZbXi/Q0F60CAljrD eg1Rb/uiDjQLSjzq7SPwlR31IP37o8LWbW04/jdXDyTjjJIjTrbh/pIdDcAk oGnET6YN90d0G4GnqzzPHeU23F+moxFUaByPMLlE6O36moDG3y1v3seEHzVd KzA3S76cMthGfL5NtQNf9f3R0TMEPiLTAZIlQ78+/Un4fX7WAeYY752/Qd+O 12tJfwFu5ZrSYpIE7kz8CqI/VLoKyBP47r+voPSlVBarRjuez9PsG6B25j+y Zk7gMP5OEMT3i7X0GaFnLekCmQx22hlRBO4+3A3a1wcDX70lsODzbsDeXk/j XUTUGzn1gETvuCXliXZ8vh1yfSB/VLGpVbYDz3sPDoFONe/lZ6odeD1VzRBY zSxj19DtwPQaNYLDQMpD2rzepgPz47T9NAwK955cJT/vwObPmescAd3uDvsf xndg98Gr7+AoWB9KlQMpBKZ2HgVn0g8FFpE6iPfjf2OgSImL79M07hddZzQO etOMlJ1/EPhxxjj4zfTCTmQLzzfpv30CyAzsyUvb+wXP8yB/AhTf3qH+FuK4 KUZoCpQmL92KiPiCz8NhMgv6GUSidV9/webJ6a2ZBZsu9mVMaV/wPMoS3wFA JumelRN4km0OlHX1xfvNEn4f5udBOV1dnZvcV8wv+cTvJTDsuH1e4jyOrVfg MqD6Js/yw+Arpmcg+S4DucRSUyf7r/h8xntXAFn607JN5Fes/y0h8ANU2sXv N5nDsfiRul8gZ8be3mwVr9fo27cKkq7LlFyj+obVk3NtV4GfdddFR1YC5zOt ATUL5phHst9w/Q2HddBq4seRGUTghMt/ALlb73pO5Dc87+OKPyDL6GBhYcI3 rN+PdMFN8Nyg3KgqF8c5J39tAkOdjcju/m/E8+rNFuhXu8G27UQn5jenepAa NtedtaKT6sTPd+YKNSxToc/7T74T81fRekUNXyu91+cwwPkvUTw00EJuJPzE /U4sr5y+4DY4LWXAYtyM62vrLXbAnnwBi8tdOKYNz9wBG06vZFuMENjszw74 QTxE58YvvH/Q8kta6Hjyc6gPTxde7zywE/4SBHsybnRheYs+xtFDOKpQ9/Qu zk++p94N/ePVHl5/hGP/ndd3Q3ZW/UWBaBwLskszQElq+9aY6i78PIbn/oN3 +6JCAvZ3Y/zqaCsTJEe+UrUW7MbyZzUxMkM63aR/iqe6sX4mL7SYYXT9R6d/ Kt3YvAINbcywOK/2gpsLrm/jGWaBmyE/91h+7sbym+4/wQaVzv+uk/+K+ycb eLDBIFoqrwNDuF70VQMb5Lm/e6n3J87TujqwQ2h3sE2HrwfDkQGkffChknYo cqcH0yfkRXHB+n8Gajw+PViejcoNLshUconqTxCh5zXdDxNO2Tjnv8H5XZ2H uCGZ94H2iRa8nq+8lgfSbHxg2n+4F9Pna6Xwwf3NCj+Qk72YPuzqMB+USOz5 ZimN81qHOfmh1bmdsZmaOJ/YFsQP66MtDiu49WLzv13yPAhDZDhlbOt6sX1u 0/M5BFMYs7iD23Esnlp7CJJHVf596sP9art2H4YrT12rNxd7sf0kNUYdhoZ9 rVqhHH2YvkSbJAi5Pf2vFdj2YfpgOfFj8LQ2j0r/rT5c7+B/DGodyj1K/aAP y0P9uvcYfNg0Mq/+vA+bj+OgvxAc5QZ3B4txv+9/Zo7DVNKPoB0M/Rh/9PuU CKwMe+okxI7jBBrNk7DXil/3Ah+O6w1zTkIGxgv7oiX6sf7PR+RFobNZWqLw ZZwPZeA6BSX/Xc3Xy8R5f97vYlBDk+yjXNiP7UNK6Yg4vBZ74IJUJc778FuK w1CpwSmuTrw+nX5YHM44XeIc/Yvzbt+GJWDcsIGns+YANp+vGp0U/CSSp2Zh NIDxs8vaUrDek5VN3xzHjndipOAvji8ZUrdx/fWDomeglo720FbcAOavD62l IXWlusKzuQFsP8vL/85CDqY0xoereL3hWyNZKGK2q8+ZahDTX7+cJQsv/q67 pc86iL+f1iwBzBVTfrdfdhDzn+bug9D6LUKXFjiIzfeQ6p8c9Fx+9TX2Ba4/ OSQuD8ORrYRnr3G/OFNbeUjuK5W+mYNj37Od8pCTVcb+TB/uR08qUIBNvhIt tUJDGD7kG6sEZfY00oSdHsL066nDSjAl2lzqktwQdn72WYLK8FFmcMKiAYHt 8pShTPe0C4c3ro8ZHVCBKcfj99l14fio/+VzkD1fXENidAjL95rj0znoK9fg tTU3hM3fUbpTHWal/XE9Rz2M6aNU89VhYPnRwQH2Ycz/bz2fBlSY8cmiVcCx YobIBegu0tJgrzqM1bvuirwAs25xTrRp4Jg9Z+sC5N36yBlrNIzNI/nPVhtu sAz4nLwxjO2rzE1VB2bJShkYRw1jeY7RHdaDU94+TqR4vP+qoKUe5K1rfnLw LY5TmJL0YJCOZdlcBu4/oiWoD69bhx3xrsLr28skDOCB0O8bqQu4PrvBwwiW mT9M/fQD16+9rzKCZuJ7TUrWcf60KYMxjOuUKWyiGcHqjfUSjCEHz1O3RfYR LG9lVYcJZEk7+kMCGcH0e6gtTWG2R+kboITjwMfFplBbU1tX5dwItg8lJpbL MGTpTraRHu7nI1F9GTJI1Tnds8FxLM/pK3BHtdVceQhW73X5gKA5THqxEVsf MYLmm0w7ddEcKtk8O98ePYJgf70YCjaHPvR5aaNvMSw+zPLbHG5pb7fdUYjj aqZuC7g+8GZCfRjz59xkzbWELz9KvtCbwPPfJK1YQknvBiXTWQxr3OQTs4K3 D628vfET54N5c6zgip28RSjdKFbvL11mDb+vDQ1+E8Vw9PWl39dhvk1Ipbrk KLa/jSwNW+jVBZPLz45i+YH7a1vIXhB/I1VlFPM/KKJmBxXcLm16muL854Bk exjzs5PzUABeP8If4witLP3/Rj0j/LdtOULRr6dH/gvH9FQbgtecYG1ORMpa PK6XfMPhDJdddKUac0bReW9lJC84Q7XlZn2XIYyfvHa61AXuNb9/Zmocw8l3 zmy4wME2YW7TWSxPkxyV1C3omhU4pvxrFDufqancW/C10zkXzt1jmP+CWbEr XJ2vDiFLjqF5TLIUF9xgxWXXW6dlMRwt3HLmDgxqFjBKk8dwz95zvnfgwQwf 3giNMdQ/6BI3712o6SCXYWOBYQbL0MvuMGm2pIExeAydR879GaMndHx5QcAu HO935peNJ5RSGvOoicJ4KuW7lZ6wIZ7+hOfbMTRfzo3Be/fhsrZJyEwhrvcN 3XgAYcGqXvXYGHYfRhY5vCGd5dP0AzN4vxKzC96wg4l3h8cCxoer3PP3hlZ2 yvmnNjB/Lx7yqjcM4ongeM04ju1jqnrIB/Y8OjXgLj2O8mTh0m++8I1ozelv cBztr/eDjsMPOgwYB4sqYXyC/dFLfpBKyguZ0sLr6WbH/KDgbEuiviWm30tf /c8fumo7WJ8MwXiNjzrXnkD491/Z0wgcc3DlPoE708L3TUaPY/sjj+14CmO2 ldTHJWE4uu5x+lNYkb/rOH0xnmfViTYIMvK8Xxwfx+rnlloXg6Gc4aOBsRmM Hz4Tdz4EuoRcaRxdwLDXB/eUENhJzfF+eH0cez94FouFwleTAWb9DBOov/SI 5WooFMmya/4iMYH6bd7eiH4Or86olHRIYzzn+dPtz+HzgwKp7RDjTWfZdoXD 1Yg+31a1Cez8LjXfC4dl7hqyjaaY3pZb0zoCaiqKfKj0nUDPx+2z1ZVI+MCT PrriCVavsW0yMRJm5U36k4Px+rMnJiIh69HXFmVRGC8swOX4EvYzMHEVp09g +x7NfhIFHTqXA7K/Yvph0b2zMfDVnha3rB4ML62elImFbWpplh8HsfpSBATG QokSC7mMaay//5CEaBzcfP1lLWUTw8m7vvvFwyDbPOuEQ5No3orR8FMJcFYu I2C30CTq13ZvwyoBqnK8S3M7ifHUlvSxCZCmLmJBQwbjnXmldiZC90OubhsX JjG/V5tTidB6SMxf1wPj18sNmt/C6nyhFJLXJDZv+7P/kuDB4IMNR/0xfTA5 SisJDsiyMP4LxfT12mJfkqB+zPKLD8lYv7Ctqsl3UN4g6932DkyvskklkwJf CafUOXVhfLRnfUAK3NyWMNPbj/nn9od3p8DCTyEnsqcm0X2d31L0SIUiTE55 l/9i/t1FDs1pkLvxRE3+0SlUb3mcPyUD3ntzeIpfZAr1+6w1QJcJu9x5dj0T n8LqBXrtMuHzo/9pXoMYL72aLPYR7vKf+7pHfwq9P3v2bbfNgqtyH8avP5xC 89Gw/z72CZYmfY+944vpTzG4mH+CPnTCev5PMPzEPTL6E2RsS694G45hcHF+ dw4UvJL5avA9hvmFmDdyoOH9bGP9NsxPCJFey4PcI8t7rn3DsGP7U5l8OKok VnezF8OMnzMf5ENHhpzTIePYPP0P7+4qgP6xuSwN6xj/iufKsUKYV1TQhPBP Y+8/qvWIYniPZ/2RluA0uo+kcPJkMZTzPnP28vFp7HwEnkqXwCa1otR7p6fR esGzJ0ZL4HhXsX/eOUw/3sIkR4KsqyS54y4Yfv70IwcZ9ppsrUnfwfT5qXbq ZJhAgh/VPKfR/fz6XulJhsJ+5TzW/pj/mz7dMTJUYq34nRCD6eHSscIK6CpW ncteNY3Ob3AlyqcKWkvwJYTVY5j6tmx1FTSW9AxkaMHwlcxK2mp4VkbCgqYH q+fl9QmuhjQKSXsWFrA86neOpNbAEB1fuxquGVTvTUPHWA+99IYN5PhmsOe5 /NUr9dDFQFa+5DCGD9zpyK6HhiY/92WLzqD5tgJZL36G3OaWNXEqGB4d8ips gGnOSnyuLjNoP3r9wqxmGOeSsHvxDsb77k9ha4HPXDdXbe9jfj2Dax4t0Plu bvOVgBnsecPbqNEKpbwOeZx/NYPuw9Zl6mEbrA7Z3nmwAcO5UVtGHTA/7GpF fCum73H9FNkBU8JL0zm+Yf0WTyt0dsDAl66PGIexfmaN1MZfoO7rcdHfvzD9 /gcXrb/CoczqwHb+WZQ/Wm+R3Qnb5rfPiR2ZRefXZ/zxtxOShZU1IoRn0XwK Z4POd8GEtBoGI6lZtF7159RMF7RIrn3Wr4Hh27aZ4j1wMr4+ZOoOpmfjXNrq g539dEtq92fRPM7vRy/3w7r957TTfLB+zH94y/rR75efmW48w+oHjj72GYB2 LxrCVt5g9VXPo/YPwfmgpvC/zbPovPH+/udG4GAjw0+zL2i9xso/J98R2EKv qU/uxvz7/AXJIzAzoJn10RimF/i9Q2YUOvu2vKDbwPSk40NSY/CnR9vLvYe+ o/4ftiWYTcDxYqZ112Pf0TzhiuXvJ+C3DW3jThGUz3Gb6l+egPl32jmipTHc ycL/ZBLevdURzXvhO9qv8MLJ6in4x+5r7LF7GH/7YbTTLNSXvBwm8vA7uj+h KtHqWZhOPekv7ovpQ8R6OL9Ds6i1myAY4+/N2NV/hxU1XGo6b1DMGTa0JDYP H/OZ/7zbgOKe2VRNviU4/H1m5n4rmi+IW+aH3hI8U+Ay5PP1OyL+I3QKBCzB WU3fhqBBFIsXqjSsLEFNj/cJCSuoXsMj6lfrMtzbOa9RzzWH3cckg/Qf0CHR TaH5wBwSY0KrK/P9B6x2+CfVcWgOoSIzqI8L/YRu25gF+kVQvUazT2j6T9gj KrGxqIDxNSp+Rb/g68B77/bZzyESe5uVSv+swXXDbbHczqg+KKnrh+o61D4Y FMp/ew6xURGNZXmxDmmK4j2OP0TrvbzpGcU2oNUkWQcJR+v1PDgk7/yGx+V3 blmXYPxK6w7Rv+jvgQ9Husmon0Nwp0X4XyjBqq1zrhblE8aHf6z9hbJTUUnH 29H6cAHO4uotqPVM6PzSJNqvs+qpnyQV4tKjGeXOMo9QMWVe2vaXGim6GSEW ZDuP2LB700duo0Vg3xnTv47ziMQjIVmRc7RIpdKAn6Mryvt7TxuF0CIN+wR7 tB/OI82eESr6PDuRflLBQ7YX80iMrWtdGEKHUNH3Nb0io7ho10XWaHpE9Q2/ Tfa+BaSZ4cUxxet7EIkoRsFabhQ3sWexZ+5B+IL/jPfyLyAxx45Cwx97kN/u 3yy2Cy8gVNNlLNOACcnQeWJmJIfquddHZCuYkBhVNx4H5QXExs38V9kwE+IP rvV7qaO8gxRD4j8m5OoxcDFNH/UzD9m8cJYZ2Uu9bPD3Ouq3/nmInMKMUK0N sLI4ovXJ/r8yK5iRubmGL4K3UD1/R5h3DzPSM1rw/OxdlN8a4xBcYkZqu5N0 tO+j/tudjj7ZwYLktIQxWfksoPfp0fNIThYkofpBq/tjlC99bywtzIIEFdsH Bwehfiay7y8BFsQ9y1jzbRjqt3CqfVKDBbFOVmYojETr9U5pVF1kQXTjxBqb YtF6faWMbmsWBHl+4OlIAor79yf/d5MFEQ5gOLf6Dq1XYdqm5s6CcD7Y2Ln7 A+pftJnq8JAFoXWdrD2QheojOGOuPGJBVmy/+EnkYX7U89v8WJChK2Slc8Vo vz6GnrO+LEiTQcY2s3K0XhrkTXuxIIXnYypdqrH9zm/N3mNB3sk/9n78GcWu geYHXViQ51KucnEtKLZMI99A8z08Yf4v6wu2zxylD0YsiIOAVllNN+ofm2BX qMyCGHOevd87gM3Lus9FlAVR3nNUdnEUO++LGbn7WBCxHWx/tk2j/Zc/Cpn+ YUZ4/1AXc8yjfmR3FaU+ZmT38sLdEyso7/7zpVoBM7I+2SelsIbyXvSVSiHM yER//arhJurPyJDMeo0Z6ejIy7OnXkRseNleRYgxI2X1b1y9aBcR8d3/yhP/ MiEfykLEX+xG+eC2Y1zVTEhUrudKKhPKj2UbD/gxIb5pttllbJj+fmCTAhNy M8HQ+QvXItJsetIy8tcexCxS8eT0gUX0PJO+Pbi0BzkfJLqweWgRzXOS93AB I3LGhyeDWQjVzwUlXqNjRJgd14TOSqB6d5oS+UAGZOva+MwF6UVEogq8+1y6 G5k1aU+xhGiefJU/pDF6pFr5g2CwGqrfIHtdZdmF3OG5cnDEFPWXy9ut8Xs7 YqEtathvjupX783JjW9DtB5RP+2yRvEkCwOso0EEZ94uNzuj/YN6trN7UiFf c6fJxb4o5k7X6ApYg+Spop95T1D/Y1yPSk/9gh+4Ao9mB6PzCpwQ1xxfgT5e J0LfR6F89Pl1vuU56JizVfUmHsN3uAbrpqHJZOta/BvUr2mG5UL3OFTiTDwe /R7tr1KT4y08AkU1XK5EpGN5b15Wi+uD3A8Vw0OyUd6aTVg86Bvc+Ym17mk+ 6sdZ+nNBqg2ujE/89itB95FzILXAoA4O7isQ8SZj/e75raaXwwb1AAvPGgwr m3qM5cC8+yaRdxow7LTqYJYME7KEGlxa0XrxxvppyRcwaOzP3xtfF7Hvy5+9 g+/Du+zNp2x7FrHfZ/9qQnXhtXOvrCwHsfxNR0VamaGWp1P0lTFML/fAh9ME ynyUa744jfntDRqXsYeCo8zUhvM438YPnSEz25iEzgo2j8ry6X22cFM197rG Gu6XY6xsCBGJzse1v7F80WZqwzLwf5tA9Vw= "]], Line[CompressedData[" 1:eJw9V3c8lv/7JZmJzCLJDlFCSrzfDxmZZRVZISTZo1D2lpSRlUKUkhmV8MgI ySYqoT6Skcre63ev7++fep3XOdc557ru+3nAb+NqYLeDgoLiBfIP+v9/v9ir M3bMkK7Y21to/DgFtQV/HeemmyGlp3FNXlRwgbXV7Z0pDDMkCgorCR1XVyh3 4fVVjt2o/mm3ip0tLJh+RJXIjOlZ2ZxVoUB05MM9rChOk98xzQ9TBdxOxLGj WH5maq8TZKo26d61F/XTk6NOjYFh55WvRXPNkNrbolgS2zLh6j8xalqeGZKs TPMBZrci6BLFmhnGi85TlXZ4v4Wj/Osnd/CjeK4x1KUBmlb97AkURPE/pkc1 rbDLqM1pUxjx0wm9bNnTA9X/ldPcFEX5IBnHyC+wOvJh1oo40n+s0mBrZhhK 80ecui6J4AgZZbA9AvMqXT7NH0XzCzOSO8Ygj5Gxi7s00ldJ9EHW4G+Y8JdE Ny2L+Mnf+QsPTsMAPhbF3/II/2P8L2n3Alx4u9p3RRHBbmcDea2WoKPhiOsv iPhRpRiGVa7A8xFlOT9UEL5r39T565tQ4s/5XZ91kb5O9lzmJlSkCiOddzF6 CG8leDA0eidJhXzaExoiPE9//2QpNck07ui3JyYIHiTf5/1FSxpbEr570Qzx z7kn/vQfHcnjEo/KbktkHzlu9y9/6EnRUvQvvC4j+o0wDq6mXST2tG1LUXtE z3ZSsS+LkZRFucQ66IDorytfinfdTZJw/NN09xqCaRSDL0gzkSp6RvxUXNB+ LQuKk0wkVYWvR5bd0P2P8jomMZM6czpH8j0RnnHkBC33HtKYV7UWq+8MSeb2 q6C+Z3tIHkMvtxpvon2TuTgn9pA21Z6/9A1A3x/KES4BFlJUUaa9ZDD6/H+z 0huzkNj3JnP/F4rwFyou7o5kIWUFxnYkRSB+Zced9F+ykCQmQkI0olGcl0/x lYVUoecrt3Eb1Qd3qK+zkFTeuv4ujkPuF2WRe46LldTBb//ocjzin7ujS12G lWQaY26wNwnRP9JNM9ZkJY3NGdC0JiP6Gcq6AjNWkoeZZmVAGrLfZIK5myMr aauB5CKdgWKWilZvVlK0hJzA2CNkHoaDcX9WEvt9if60bASrb1r9DmElZW0K xOjmIv2qOu+th7GSJOy5IGUegn96iCkh+E0H81z5c6TP+wCnwSBW0ukTNE8d ChD/VUe/eT+kb+bGRZ5iBNc9O5vngfSlm9/dVYrgq03kfQ5IX7fJutByZN5I z/sK2vfrd+8Tb5D+ekc3S3VYSZvK/WJTbxGeXbOSQ5GVFJXfNvSoGsFeUnNF YkhftoZ4g3cIDqvoTOVA+o0Wr759j+K8usYJ5J46Twudm5G+h5O/yHch93yV Yc3/Ee17Mc/qNQvJNCK6JaoT4XtZvQ4EspDG/gX6K/YgeD/Lg0FrFpK78fVj M58QvGtgIEsFeb6il9OMB9D7DykE72Qhvf6oeFXkF3rPYSc3/z0kNuYZuvdr 6PuXv0+rhInUQ46J1NxEP68lw55XmUgJTsI0ndsIvuhkayjARGL9aEo1sHMW eV61CQ6Ju0ms4Y2b00yzJNky+zF5L0bSnvX0uf2Cs4je6CSHPAOp6/lx92xh RC9FJ5w+R0+6Z9I1LSI6S7rydOcrhwJ6EvNr6r/HJBE9l5rLCh89icndbfzM CUQfNKXuwERHYhxXG/TURvwN59R7NqlJbfd/mK7qInrfJJ1RMjUpVvXm1wA9 hP9p4XwjgJq063FJf/R5ZL5kzf8QJTWJwWJ/d+YlRJ828LeXcSeJrnemsdUT wZoKx/fDHaQPwbdV9a8jfeSerVbS7CBFSYk09PsgvBiD3ngnJYk2zqz2P3+E 778q/+syJYlGs6lyOXKWJCNYyeiaQEHa+e5BsWDGLKk9luPoC9YtOKCoqvH9 EXqPQr+LhZuwuPLPj/RstH8ZBUlzE5q+BqyseQiW2XU4L2wDlhZ+96J4ifRV euVaQL8OLTMETw01I3zvlJad1gqU5W7rSf2I3tNe1XF5GdKnel0zakf6iMhV BzxZhuWJjRmtPei9qpVbdy7DXbevbL8dQv2L/z3pXIQVvi/eJ8+j++8tXUuc h3HLhhYGS+j8l9kivXl42XtjcfcqMl87vqXONA+Z3HUPhW+hfWq69sbOQTuH 6WhP+jnk+5rVcS5+FrIay5zTOziHfF+8GU6KmoYTn76N7xKYQ/ZNLaXlmYZk g7CgZqE55OcLV+lMyT/ocLavFIqjvCeJ9ftfWKN2g13yODKvM3iBRecPvCZb 9ZVeG9EH1Ruw2U3C2q6+ggpddN6cy4J5EnI4zwRe0UP1vyJaKyfguyfCIo3n kT72rsK0HBOQbe89jyAr1D/EO75/DFat2u5a9kb7tmT3xYzCPcmBw098UL5e uUJtFNpJp5ca3ZxD7nE7OZJyFDJf6zR+GYT6tbR+v/kTXh6Uz3W+je53Oprv 5gjc9Y4JjGahfVgmDLN/QCszsT2JOSgvlJFx9Qd8tazyU/kpOh+6K1f6B7wk 5Rud+QL113rdcuc7LMv+2Wf6GsmX8crumh6CZmEVLt2tKF+x2DA/AEv4epWD OlAsnT+eNgCpyX/Zj3ajeXSiUHkAFi8KVMX2o/MiUx6JXyHVlTu0Gv+hfFZi jNoX+ELTJqtmCe3jRLl3qA/KSvBD0iqqv+p8La0P1jD9+PZuHfVfikm+0Ae7 ei321lHMIziJyr73E1ywuBjXwDCP9B+fzezvhdBD79YH3nmSjEzeHW3KHths xMytyY/iA06fW7qh3omONy2CKFa5wprYDW02tOc/is4j+f3fYw91w8iIM47t 0qgfY7axSRfsSocmPerz6O8T9nNF7fCi/+aigeY80r92ZMWwHY5cqk7s1Ub7 5Bw+sNYGF4ROdX7SQ/XnP5RotkGu4uPqn01R7H/y8eJHaNMgITvogs5PCDT4 f4BTT6a6zd3RvBB+ZpkP0Csq33XIE9WXRatONsNIXdEXwz6oP+XvSybNsOCz oMB/ISieV6VXboKLU9x7xpJRvCncLP8eJj0cb85IQ7Fy6YnlBihzrjzQMAPD V6JeNUD3l7rTtdnovlagRrYB/vUJ6nhQgOZLaImBeviLeixWvx7lcyliPWth 2JuXqnSNKBYfew5qoeDVwI2aZhRLHL1FVwut2/Y5SbSj/tQhDkrv4FCCtjbt F5TPErEuJsO+g6X05L/ovjPLrS2V0Kvbv85zBsU7OT08KiFbqJav+Dy6r8qf UzyVUH/s50TKCooPqQt7voXtBZwfPKgW0L4a85IVsFH+VoQo1wLS91GS4adX 0HZKA37fj2LpLtc7ryDVQ46l+7yo3jb3+plXUJmi2I5KaAHp97bwRE05JDf9 pzp8ZAHx//ZO+nUZfGV4hipJFZ1n8I5pL4VR2hXhPGdQ7KFRm1IKzVXE6J5o LiB9GT0f2JTCHTK7dr8+u4C8P6QS+bUSeJa1k/OLCaofsxuWKoETXRfEeZxR vZ6OqlchrPrQXJDriuZH08TtL4RxtSePSnpgffjGGwqgbAm3LLyB6p+dqNxb AIPvDgOrYNSPNza6NR9yn7XXz72P8ib0+62fwb9qn3slUlEcVDGy9xmsBRoX XqWj+45eiu7Mg/aS4mZNmSiubnRQzoNljP9sJ56jeZp7RY4+hTqt3j4SNei8 Et8VqVx4sGFsrbwWzXvKMDWfA+cqjf1BA3ofBQuRihyYli8fcvYD6vfeuvJ0 DhyL3rzt1oPqzwbvt3oMAzXCM8vH0Hvk9C28zYI9lg7mUpNoXunNf1FZUMhb m6tgCp1XPOtrkgU/ZrMk5syg/EXNG3OZkH39YUTCGorph6NCHsFnha+d3ZgW 0f1iqD49gGsNaeJ/9qCYoiYl5AHUHbg1foVtEfEbPMYj/QDO0ahYX9q3iMyv PvidmA4VrTqNzgqg+tonejZpsIt1QkFCbhHZp2Fr8VAKFBBrXck7iemFz44m Q29S0StBBVT/Q9M5OxlyO3kd3a+E6j1Vlg8kQ9tGCkEGLSz/2drB+3DlBhfD hMUisv/18gG1RKgVt9F02QrF9vXpuxPhw9zvod9tUP+Wxu2+BHi6+8lm/xUU c9GUOiTAWHHp2UZ3tL+5+K378ZB/SOtLTjiKC3YK77oHY+oVis9HoX4ibK0l d+FcnkQE7W103ndvnM5dWO/BJHvtHtqPbb4lMg7a0vXclX6AYsMdLxjvwGcy F8/UlaB9s/jbdGLgHi4tXs8yDD/OWY2GvlunFoVeo3ltuiF50VCrhScnqgrl rag0aKLhlOWPrXNN2D08HnRGwiMxV14Pf0P95z++iQuHya4md+4No33S3tzR CofbRpq2p//D8OQp2nDYdfAw69MxtL+6657QMOj+6p+z8yw6L7P3UlgoLP/h LbxBs4Tqr1u+CIY8TfYbhfQoXrX39QyG4S+Mey8xLiH9/iSoKgbDC9flgxtY lpD3a/7XSGcQXN61ORjDs4T6rdNuBcJTJ8KSuKSX0PelT3DpFuy34ZJ7KLuE 3s/9TtYt6BlX9JnvBKovezSnfQsW/PrCLaqI4nmu3Cc3IW+SZLacOpr/1dbI 1g/umO0vNDTF5hljGX3gIx6nc5/NMVxg23gDKmhQzppeQvvFqjAF3oBemYdl bWwxvu3jwnU4phtU6eaC5aXlTXrD1nyx5jshKG/ftLrkCR36axxYwrH+AV1V nnDnDiOG+5HYPX4aBXtCeDFANyMW26fWkskTltD29uYnozyXg5KUB0yyvfWj OR+9R9mr9Hg3KHWPJUS7ENUruV61coPtVU8FO4uxfe58OOoGadi67fvLUZ6i 2ybLFfrUCf8drcH6VFIcdYHmvJ2rlL0Yz+Tpfw0ycXm8qupD92vz7BS6BuvY ONy9v2D7DKq1O0IRerOJiSGs/1sPfkc4PT/W3zmB4SfO/Q4wpGWr7OEWtk8u i5s9lH2f7WpMuYz46QiEHLKH4zWqh1l2LqP5OV+/20Gd8pjHYfTL6H6G0oZ2 kCOTM/4a+zKa56ioagufeR1xkRdfRvdVtta1gaau3WLzEtg87RaLDdzt6PWr 4Ogy2p/P5LM19LhUac53HMsbOGVrDRW01LVplVDc1uEXYQU7DlqK9p3H9AIb fRYwiJtyNM4EzU973eZlAWU4cjM1zDD/6F52C5jK8Juz2grj67xMzKHNojd1 zjUMz2T8NYWLH++MuAWjfWX+2OuYwMFdfQ4boRimE95hAut1eKYjI7A8iboK Y3ivI3/90W1s/nuUqDEU72lmb7+P9UvZw3oBWn6lPCOWj+EPkwxGUJVbs728 APNTvdxuCA+b3TNUKsb6rSTdM4Qrg7xWxuUYHt3HZQgTfij4htdgeZcdpA1g 07j3i/960PvJrDiE6cECUfIx5z5Mz+OtrwcTr+6sWPmM6c9wH9SDVlMJ75mH sH4p+j7n4Nq/4iEwjul/aK/pwqNLk8zp61i/I5bS2pDzxLFk4S2Mr6Qe1oIb N3x4SilW0L6GL2K04MdVGrEP1Cuov/2vMU1ouyl4eokZw+Lv8zVg6k5LLwMh TJ/dZKEOty7vPd4tguGDllzq0Laha/GcGIYTa/vUoFSIyg3dIxjuG9RTgx+2 Rf00Tq6g+UkyeqpweW0+EOpg/is+7qehuWmhEvnsCrqP95uTp2H9W3tKRX1M r5FJcRrG+XwNkb+A6UusE5ShyFJNuKwVhlMDyErwwmz0bXEvDOcyW0NYraei 8/w6hu8t7oBQoGSDUdQX6xO58ATAfy6uccIBGM8nPa0Iw/8YxfNFYVjCME4B lo8fTOHMwPpwxG6chNxnvhrff4TPpxedhEFPE/axZ2N4PcH6JNSxo05neYrh dyc+noCjI78zGEswP3Pap3KQbfjV4x3vMb8Dd8NlYRyjv/+bJmy/5GySLGRQ UDVxasEwa9qaDNyR2rO7vwPze3HYUwbO6U/7PP+6gr4fKfEu0rCrUfSc3vQK +nx/MMdKQZ2FaTHqOQwbHTWUgh8E3uysXMAwI8N+KfguUK1ScA3Lt+66eBQW ydsIL+9cRft9YHkpCWMLH6w/5F5F86jGs8Uh3aBNv8GBVbTP2SA1cRjGIF5K y4dhTp3fYvDmlQp7d+FV1D/D6YQYdOTv61aVwvy67L4fghr3mZ5NqWF+VdyX heH7hr6QLA0Mm4ntE4ZKcxkW57Wx+Z3SHULwxLnDbO/0VtF+xw4BIeT7SyMg wQzDwWoigpDaP9hI3n0V3Z+tRYAfls/+WX3nieWdPPibD9ram2SqX8f0bw+9 5IPvzx39bXgTw/pnVPlgmMBQoEs41l+E7j9euPPDyRc5aVj+RlzHfliumKsn noHzue77oW0p81LJI2z+6zDHfvg+fUypJgfj+6usuWGoc1L/l0JsH88XNFxw B9sMJVM91mcmKYQTvow0y0t6j+nlQuU4kb9fmnT2N2P49ZUpDlj/62GKaBs2 r7JlzAFDKrQlVfqxeTc2RXZIaZln4vMb6xcbJskKS3pYt7b+4Pc2n2aBVmcC csKnsX4t26UssFbq/L+EBcy/KUmeBQZRUYUVbmH4Qo3+Hkjx3LJ4hHUNnZeQ 1NgNm/58dsnkWEP5CNsBRhgrpX/EfN8a6ufL68II91aoFPYdwPRODOm74JFm 0RcfRNfQfj8kqRig+a+5p0VwDfu8p3HSIr+vOdlfU8b0Op01NHDC6ZewqCqm D5J3oIGeC59zszUxzJdfQw1jqMiPk4xw/1jfnfAtf+QjP0cMxy4J7oABdhSW J5wxfe3UECVUfe57YMEV7zuUSgm7pJwynL3xvCIWSjhB0k+3CsL1CUwUkNNy f7J6MrZPWqXdBhjMTjpPlYbxFEZL6+Dxr90ctQ9wPihqHUg6UyTJZ2P+9rGl a0D11q94iQJsv/khjlXgkV58h7Ue03+tE1gCbzbSI+vfY/ltO9sWwYZlRLBH M+av5Hd9EUQKWnj3tGF6LuHOBZBRwGCR8Bnzk/GPmweNNXYSrH+xvDG107OA gV9fpH4a11/dnAF6oYp8HnN437i3M2DgDBt7z/Ia+v7PN8rOgH9dtevxO9ZR vzLo/A/s+7m/lWXfOrbPeMtvYKFG21jHjfO/zX+Dx3lzNe4HMJ6rcHYSSDi1 vOwWWMfuN3ZwEigvXk+Pl8T1lnHjIMLYJklZCufzJcdB21vduFnpdex5enSM gQsBQiH6J9ex/pTsY8CRtucqiwo2LzNePAqKr5Iv16nhfgdMR8FC6zMLdw2c D6AeBYH3AvW7dfE+16x+giQuSfl4E8zPPldoBJAPR9GxuGB5FPubvwO5T3vb E9zw/W5rfgclt/Li2T1xvN4+DB63N3Hv88H1pG9DIMqVWvJgCI5/MQwCg7IQ fclkHPu+/gJazVg5i1Nx/N7gC1Dd+XhA6gG2b1vGzGdw4nzdZdks3P/v0c+A Z3nbWyEf10e86wPjp/zTNWtwnudAL7D6yXiptRafj+joAQO3MwR1G3A+N6gH tA1WFeh9wPHwRDd4GbBWY9yD6y83doHDh2JCv35aR5+vTEpgF8jt5NIw+4zf 4+2pLpDCJ99tOYjPO1/tBLfqb/y0G8P78F5uB4uOtM/GJ/D7Ph9vAy5sKU5X p3DeybkNWNu+XnSawbGDfytQp1mk9VrD9a3lLYBFy0MihGkDyzvt2QSy6ph3 nWLZwPK06ZuAlHzh5CzbBqafz24EZ0UnnlpzbWB+Ol/egxgaS35loQ1sn37j BsAVsL69IoL7/VurB88WU4dLxHB9clY9aB7tfcB3FPcfn64DOxs0OSlO4fPD WbUg8dT4whvFDewezedqgcDLsF5XEs5zUtYCpex3976r4v7SXTXAP/D4rnfn cD+W6GqwpMBPEWCHY2vHChBeVjN83AHP55t+A9gPm5P/OuLzTTfeABnuFD8L N9yfMe41cFthXFS8ifMx/eVg2zW/d8Ef9xN2KQdx42deFgTh+lqaclDQH+LK E4HrOUEZmCxfmVy/h/MaNaXARyL5Q1kivk+mTSmgy5XJu5aM+92nKQUiiS62 3x7g+liTEmDjPjpc+RTvW3KgCAxKdvX6VuN8mN9zkDnF4k/1Dn8eoZTPgc1z Q5E7dXj+UtgzMCn02SerCed3xeaBpf3DB5q78Hmh+ieg8uvBZr1enF83egL8 U6zdBvrwPKXJXLCT7Vf93wGCZ8sFLAx/rrD/wueTwh6DT82SLI/GcVwu9hik hrtWHvqN56s3ZgNeynlGhWmcV2XMBhIrq6XWqzhv75AJ1MdoN4p2b2L+Oanp gD5X88nJPTj2XEoDbda3z9azbmLzip5p4N7B9mVtjk2sn9tIKjAcYsru24vr qXRTAecDPa1L3Dgv9TkFDJgkzE/w4FjJKgVYfeJQ3+DH/Qock4FQgvF0uBA+ z7Z0H4yfS0tlPrSJ9/O6D1xaeaYEJDax53MxOQncrBe8pymH8+pDCQAG2cn3 nsT9Ni4lgB0wb8RcAden0SWAqLfix92UiDyZeJBccmwgWYvIs7oLLrp4hvLp 4nj+YxzgkXglkX8O928SiQM5eScDyUZ4f6uvsaDkEUlo1BLHWUdiwLzfPK21 NY6DHkUDOeO8qaHLRN/VKFDFzFz22QHH8uORoCloWLnVA+8TOxgO6CwShDW8 8TwRy3CgLa9O33iD8J8OA12zhV01t/B5ruFQwNZhXa4QiPft1QgFF/I5UiuC cd53PQSkRrTcPB62ib3fbHdCwDcb/0svI4h9VoMBL+mYytFonDesCgZW+3+J FNwmeI1gkLOcyiAWt0l8PoPAWK/Ovyf3iL76wUC0hKJHIJG4x9kgcC22/FXm fWL/xEBQ5OCQxpNKYBAAZlR5/NPSiftKBwAZ/i4rzofEvu23wPXNUNXETNxf p/gWWH81tetOLvH8D90EMCFzmj6PyF/zA0Euhr0Rz3E/GXs/0KBF+4aqAMdl 6b6A5lBVelARnl8r5gM0qVwDNktwTMHgA2K/C9j4leH+Y343QEdVv9ryK/x+ X9evA5bUGDGvCjyvTfM64KE3rbhSj+ufnvUCl37tzhh9T+THe4LHdXWB1s24 /w97TzD60PvycAvxftZ7gEN+YmfM2ojnyekBHC8MiX/pIJ7nuDsokI5nOt9N 7KvhDqaZ1Oa6e/HnU/beDUhPrfSd7Sf2+ecKvJsL3rZ+Ie7B5QoqcqweanzD MaOcK1gLZA9uHCL2iXYGwPyD7ekfRN/bzkCjPWX++G/iXmRHEPNc+/PLP8T7 qngVtIdvVx6dJj7/eg5gj03Zo4JZwk/bARjAKyFiC8Q9DjmA+9z77Z8uEZ/v kCvgy1KHpuAq4b9oC7h7QySz1onnn2AHLIrlWA5sEfoZW/DadIWpi2IL3y/X DjDRVDKGUm3h/nk24ErpTQY5GhyLfLQFteaAbpJuC7uPTL4N2Ee3TZ2xawt/ f2psgHtZLdU5JgKnWYOPliGUO1i28P7PrYAAg+p2ORvuZ59tDfxeUW9e4cT9 5qutQK9V8xo3F66/SGkFJBijV9r34/2UHK1A2ButpSDeLfyeEZZg0IZxQYYf 9xsbNAHHmTpmxwQJvtgMxL29O50mQvDuZmDMVv+vjhiRf84EwD1sU9uHCf28 CUip+jTx8giez/X7PJixTx6zO4bjNK7zQIPVZHSfLMHvMgFZZK6RVjmCdzwP Vh2+fQ+QJ/gHRsCA/eHQMUV8v7IUA5D/zvLbKCT0Py6CHdf4vqYoEzjdAJhx jvRrqRL3G9IH5XU5nzbViXsjmNHZrqdEk9DfOAts9x3quqxD7MOsB8gNE+2c 54g8SwPA6Zrf2qJP8JPngAu3U8stIwL76IGmRsnmo8aEP9QHB92n349cJDCb ANmHp7T+vjlxnw410NXsUatxiciPPQNEPWVr1q0J/roqCOZdqiqyJXhnHTDQ 8uat9RUCsykDaW/fN+yOBG7TADF8Cq+anYh5VxXws3XjpZ8r/rwp/uoCxRs1 JZIeBL8pC5IEgop+eBH9xSH4265ckHgDv1dbojJQ96XKV/cj/LUMwCOhxrzV WwR2UQfLnRFPCgKJeY/jQO+mRs6lEALXKYNnIgzZrOGEn/ppQNnT+qgxkuCj TgJT/zsZPjEEbyQFXoqeSz98h+D3KYBdn/akDt8l+N+ngW1gz/34BGIfVV1Q LZ6UqHqf0EsAwN5/Pn45heBDlIBz8N67+enEvrqyoEnia6zFQ8Kv4ADg/ZIe syeLmP9xHFwPNY9qeEzwUodB5xHeiOtPcL+govNk0YHvoWLPCP8uQRAUnh08 mE/cQ14C7L5Bq2VdSPgFqIB0B2fWseL/9RUFIqa9A44vCf89MqBMWz5nupzA oseAEsi85vWGmFc9SW47Qi27+pbgffjBRb5rG/7VBM8uDcZYut/veEfsp8IM PKhO3ImsI/imterthYzzjO+JfpOM5NixHbzxTcT7mKwM9n1xGONoIfqZHgNP WjqK0lsJPzsNIF0le+NgB8HX64GagnRSbheB86WB9iMKOrFeop8TLfnLXfuu wj4iT58d2Aa3pUp/IfrICYFZD2nrNwP/e1+kyAG2qWKKQ0SfSD7AcGFrtvY7 MQ+OgJQztpVqI4S/Dg1ZSP5jyMdRAvudAiXiUtrnxom+oRJkwJPM9mmS8O84 QP64e+ObyR/C76g8uLBtnTv0j+DjDMDPmWYnm1nCL0IBuI1IHh+fJ/YbkwMb vYmb15YI/YUTILpxtXFmheD/UwGcby7Fea8T8wf1yDnPGi+sbRJ6O1UglX74 YCDFNq7P0SZX344fp6LaJr6fNMia/svFUdTbxM+z46DfxcJnN9027hcjD2ys GpQSGAj9yFkwrS9Gv3c34ae0rHhL5W73A+Zt/H4+SmT644tpfKyEnl6cnCxi ZvOEncDxUmSBfXXi4nsJfycZUEx/aL6Ii8i/Jk9WXI+tkuEh+EPK5A9/5kIr eAmcqko+P2yiA/iJfGst8khnDXu94Dbxvq1Wu9YJDamLEPwnJbDxMuZJq+g2 8fuBHjkqd8ZZ7zDhV6VF5ki+INcnSWAXJfA4snrrohSBf6iAI74CzcPSRH9r CXKVY9Tdy8e3///7TcP8n/HECSJPgo/8SdeIz/kUcQ8FfmBNqpyYVST4D9Lg nxRf6XUS4ad7EfgJRPiuKxP9oQKZlv2PcpAq0ddbj5xEbcBAfYbQ/5UAfMtv eqI1cf1Y0AVQOHHgAZMO7l/72BpEPQy3Gj5LzL83I9sa/BUu0if2YTAiK9Ge n/I3InAsL+Cpri7RNcb7li0ZkFfchK4fMCX6qp4m9wrHKvw1J/LreMlFA/MU 5EvEfNJZcsxds6ZYGyJvjynZXrXhtrkdMR+0WX16VVxfwgG/V9k5Y8BblMC5 4bj9/98PqzZr31qdiXwnK/Bpr032AzfcX8dPD5S0tdhf8yTyJE3JscHHJBSu E324lICDXNosgy+B+QXIqlMUbwZuElhSBxzMcriVH0DgWTawZtSl7BeM95m3 MgL99CdptcKIPlFi4GVNZhtXJNF3pzGI86RNmIzG8xlNHYGjqKvx21jcT/71 NbLaUD9P9F18/umEGeBLgCMmCTjfcsUPNMV9XShLwue95IPA/wFn6zsr "]], Line[{{1.978245961995607, 2.683520072821466*^-13}, { 1.9787207152144783`, -5.088568455491327*^-13}, { 1.9787373661730594`, 4.693689881207774*^-13}}], Line[{{1.9834719537993055`, -6.892902915112132*^-13}, { 1.98421213301298, -1.7115697747982495`*^-12}, {1.9848985602377929`, 9.669293143943492*^-13}, {1.9855849874626057`, 1.30225830119457*^-12}, { 1.9862714146874185`, -6.441736033480084*^-13}, { 1.9869578419122313`, 1.0757783552861611`*^-13}, { 1.9869578419122313`, 1.0757783552861611`*^-13}}], Line[{{1.9943344794172735`, -3.0161567687869707`*^-13}, { 1.9951949686099844`, -1.4910030154968725`*^-11}, { 1.995881395834797, -4.992010971260897*^-12}, {1.9965678230596091`, 1.5252585305880474`*^-11}}], Line[{{0.02002291036751643, 1.498232093943841*^-12}, { 0.021468866684071834`, 7.859879413985027*^-13}, { 0.022082261708864556`, -1.2088996470538406`*^-12}, { 0.02269565673365728, 1.1756123852180167`*^-12}, { 0.02269565673365728, 1.1756123852180167`*^-12}}], Line[{{1.9800128763771412`, 2.563560475010718*^-13}, { 1.9807799968889164`, -8.042594368262712*^-13}, { 1.9814664241137292`, -1.7491064152608261`*^-12}, { 1.982152851338542, -1.154104589673466*^-13}, {1.9821964435952237`, 1.048258702063265*^-12}}], Line[{{1.9921023879292483`, -4.2689990431554746`*^-12}, { 1.992449259710733, 1.797839377370991*^-11}, {1.9930589692131917`, 1.2498170554042788`*^-11}}], Line[{{1.9750799425434327`, -1.316888265101568*^-12}, { 1.9759750063152275`, -2.280980959668*^-13}, { 1.97666143354004, -2.4026891587425326`*^-13}, { 1.9769704517915252`, -1.152650197511207*^-12}}], Line[{{1.9972542502844224`, 1.466718690945612*^-11}, { 1.9972542502844224`, 1.466718690945612*^-11}}], Line[{{0.011041151262595545`, -4.1903230885154135`*^-12}, { 0.011041151262595545`, -4.1903230885154135`*^-12}}], Line[{{1.9898585528143742`, -2.466934989620029*^-12}, { 1.990389978036295, 7.696315806882126*^-12}, {1.9908268777251665`, 8.358011505116282*^-12}}], Line[{{0.004929362547335268, -4.385139473761513*^-12}, { 0.00613399106425376, -5.469519281930957*^-12}, { 0.006747386089046483, -6.42437908426885*^-12}, { 0.0070541304580072385`, 2.0657309196536745`*^-12}}], Line[{{0.0030108407854104445`, 7.57428286757289*^-12}, { 0.0036538523432536356`, 3.2084079837346736`*^-11}}], Line[{{0.00012281403876088337`, -4.240843357039559*^-10}, { 0.0015077563834993003`, 1.9301569231799932`*^-10}}], Line[{{0.015334916436144605`, 2.695427214760571*^-13}, { 0.01567413667554514, -9.843986736868261*^-13}}], Line[{{0.007974176138631928, 2.298994328242543*^-13}, { 0.007974176138631928, 2.298994328242543*^-13}}], Line[{{0.017301467076844435`, 1.0516587600761796`*^-14}, { 0.018008602395136863`, -1.6064649610569859`*^-12}}], Line[{{0.024306314482584017`, -7.622669162543617*^-12}, { 0.024306314482584017`, -7.622669162543617*^-12}}], Line[{{0.013457281519494598`, -3.135150472566295*^-12}, { 0.014603922407266897`, 1.879685296302114*^-12}}], Line[{{0.009733703800962903, 7.273209812197479*^-13}, { 0.009733703800962903, 7.273209812197479*^-13}}], Line[{{1.9885830426102924`, -1.9061141554033156`*^-13}, { 1.9885830426102924`, -1.9061141554033156`*^-13}}], Line[{{1.9994970648041506`, -1.0992015492261587`*^-10}, { 1.9999999591836735`, 1.7613646495352026`*^-7}}]}, "Charting`Private`Tag$29974#5"], {}}, {{}, {}, {}, {}, {}, {}, {}}}, \ {}, {}}, {DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{ "\!\(\*FractionBox[\(\*SubscriptBox[\(F\), \(1\)] \((U, \ \*SubscriptBox[\(n\), \(1\)])\) - F \((U, \*SubscriptBox[\(n\), \(1\)])\)\), \ \(U\)]\)", None}, {"\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {All, All}, PlotRangeClipping -> True, PlotRangePadding -> {{Automatic, Automatic}, { Automatic, Automatic}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.567426, 0.32317, 0.729831], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2", "U=5", "U=10"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], { Right, Top}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{ 3.7709167163707542`*^9, 3.770916883851122*^9, 3.770916978258779*^9, 3.770917088472508*^9, 3.770917135325161*^9, 3.770917246328361*^9, 3.7709174648568277`*^9, {3.770917516735989*^9, 3.7709175735021677`*^9}, 3.770917606348892*^9}, CellLabel-> "Out[158]=",ExpressionUUID->"d856ece3-bbda-4d68-b1fc-6b1d63912b77"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell["Hartree-Fock", "Section", CellChangeTimes->{{3.7709097812136593`*^9, 3.7709097988978443`*^9}, 3.7710009143929253`*^9, 3.771054756113542*^9},ExpressionUUID->"2d732461-e080-475e-bf57-\ fed536d4f106"], Cell[CellGroupData[{ Cell["Restricted Hartree-Fock (paramagnetic state)", "Subsection", CellChangeTimes->{{3.771054760095847*^9, 3.771054766767304*^9}, 3.771054987688341*^9},ExpressionUUID->"8ddee78c-5bb4-4949-8b92-\ 2a7aec4c33a4"], Cell["The one-electron effective potential is ", "Text", CellChangeTimes->{{3.771054880196336*^9, 3.7710548914554987`*^9}},ExpressionUUID->"8ef63c15-76ab-4b2f-b3b8-\ 36a924df49f8"], Cell[BoxData[ RowBox[{ RowBox[{ SubsuperscriptBox["v", "i", "RHF"], "[", SubscriptBox["n", "i"], "]"}], "\[Equal]", RowBox[{ SubscriptBox["v", "i"], "+", RowBox[{"U", " ", RowBox[{ SubscriptBox["n", "i"], "/", "2"}]}]}]}]], "Input", CellChangeTimes->{{3.771054898120688*^9, 3.771054917605371*^9}},ExpressionUUID->"e178aa09-d4f3-49cd-b965-\ c7a2d8cdad36"], Cell["and the RHF eigenvalues are", "Text", CellChangeTimes->{{3.771054923103421*^9, 3.771054928119465*^9}},ExpressionUUID->"2a3dae70-4ba6-43e0-9efb-\ 54ae070a13dd"], Cell[BoxData[ RowBox[{ SuperscriptBox["\[Epsilon]", "RHF"], "=", FractionBox[ RowBox[{"U", "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", SuperscriptBox["\[CapitalDelta]v", "HF"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"]}]]}], "2"]}]], "Input", CellChangeTimes->{{3.771054929612933*^9, 3.7710549675037613`*^9}},ExpressionUUID->"2d1d8bec-283f-4199-afc4-\ 4f57bb13c89b"], Cell["The RHF energy is ", "Text", CellChangeTimes->{{3.770789474989027*^9, 3.770789486630363*^9}, 3.771054986216606*^9},ExpressionUUID->"a9012494-a587-44cc-a026-\ 548f13429b1c"], Cell[BoxData[ RowBox[{ SubscriptBox["E", "HF"], "\[Equal]", RowBox[{ RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}], "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], "\[CapitalDelta]n"}]}], ")"}], "2"]}]]}]}]], "Input", CellChangeTimes->{{3.770789489201922*^9, 3.77078949380336*^9}, 3.771001311288274*^9},ExpressionUUID->"9df146aa-8f5e-4e68-be0a-\ e4edf11a794a"], Cell["\<\ The equation giving the occupation difference for the RHF case is\ \>", "Text", CellChangeTimes->{{3.770789450190783*^9, 3.770789464345006*^9}, { 3.771054784720263*^9, 3.771054785407435*^9}},ExpressionUUID->"e3f5b9bd-a23a-4c61-b878-\ 2cc8289a4934"], Cell[BoxData[ RowBox[{"\[CapitalDelta]n", "\[Equal]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "2"}], "\[CapitalDelta]v"}], "-", RowBox[{"U", " ", "\[CapitalDelta]n"}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", RowBox[{"\[CapitalDelta]n", "/", "2"}]}]}], ")"}], "2"]}]]]}]], "Input",ExpressionUUID->"7f846e03-a85a-4b66-97c2-\ 5c1eb5f423aa"] }, Closed]], Cell[CellGroupData[{ Cell["Unrestricted Hartree-Fock ", "Subsection", CellChangeTimes->{{3.771055063111745*^9, 3.771055069727655*^9}, { 3.7710551807035227`*^9, 3.771055181768268*^9}},ExpressionUUID->"824703b8-61e0-4c51-b95f-\ 74bfca7fbbd5"], Cell[BoxData[ RowBox[{ RowBox[{"\[Sigma]", "\[Equal]", RowBox[{"+", "1"}], "\[Equal]", " ", RowBox[{"\[UpArrow]", "\t", "\[Sigma]"}], "\[Equal]", RowBox[{"-", "1"}], "\[Equal]", " ", RowBox[{"\[DownArrow]", "\t", OverscriptBox["\[Sigma]", "-"]}]}], "=", RowBox[{"-", "\[Sigma]"}]}]], "Input", CellChangeTimes->{{3.771055151309619*^9, 3.771055249418992*^9}, { 3.771055433865718*^9, 3.771055455847659*^9}},ExpressionUUID->"a274a7e8-4f8a-4495-91ca-\ 0335d2cbd62c"], Cell[BoxData[ RowBox[{ SubscriptBox["n", "i"], "=", RowBox[{ RowBox[{ SubscriptBox["n", RowBox[{"i", ",", "\[UpArrow]"}]], "+", RowBox[{ SubscriptBox["n", RowBox[{"i", ",", "\[DownArrow]"}]], "\t", RowBox[{"(*", " ", "Occupation", " ", "*)"}], "\t", SubscriptBox["m", "i"]}]}], "=", RowBox[{ SubscriptBox["n", RowBox[{"i", ",", "\[UpArrow]"}]], "-", SubscriptBox["n", RowBox[{"i", ",", "\[DownArrow]"}]], "\t", RowBox[{"(*", " ", RowBox[{"Spin", " ", "occupation"}], " ", "*)"}]}]}]}]], "Input", CellChangeTimes->{{3.7710550985051937`*^9, 3.771055137105994*^9}, { 3.7710552556326017`*^9, 3.7710553053122663`*^9}},ExpressionUUID->"52e27f75-079b-4136-ad42-\ 15df8825aad3"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ SubsuperscriptBox["v", "i\[Sigma]", "HF"], "\[Equal]", RowBox[{ SubscriptBox["v", "i"], "+", RowBox[{"U", " ", SubscriptBox["n", RowBox[{"i", OverscriptBox["\[Sigma]", "\[Dash]"]}]]}]}]}], "\t", "\[Implies]", "\t", SubsuperscriptBox["\[CapitalDelta]v", "\[Sigma]", "HF"]}], "=", RowBox[{ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", RowBox[{"\[Sigma]", " ", "\[CapitalDelta]m"}]}], ")"}], "\t", SubsuperscriptBox["t", "\[Sigma]", "HF"]}]}], "=", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", SubsuperscriptBox["\[CapitalDelta]v", "\[Sigma]", "HF"], ")"}], "2"]}]], "\t", RowBox[{"(*", " ", RowBox[{ "this", " ", "formula", " ", "has", " ", "been", " ", "corrected"}], " ", "*)"}]}]}]], "Input", CellChangeTimes->{{3.771055073022241*^9, 3.771055095503583*^9}, { 3.7710553192883863`*^9, 3.771055358104588*^9}, {3.7710554695044947`*^9, 3.771055523519598*^9}, {3.771087697717999*^9, 3.771087720582324*^9}, 3.771087815349167*^9},ExpressionUUID->"9502801f-a70d-4615-beca-\ 24e2a5866944"], Cell[BoxData[ RowBox[{ SubsuperscriptBox["\[Epsilon]", RowBox[{"\[PlusMinus]", RowBox[{",", "\[Sigma]"}]}], "HF"], "\[Equal]", RowBox[{ RowBox[{ FractionBox["U", "4"], RowBox[{"(", RowBox[{"N", "-", RowBox[{"\[Sigma]", " ", "M"}]}], ")"}]}], "\[PlusMinus]", RowBox[{ FractionBox[ SubsuperscriptBox["t", OverscriptBox["\[Sigma]", "\[Dash]"], "HF"], "2"], "\t", "E"}]}], "\[Equal]", RowBox[{ RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", FractionBox[ RowBox[{ SuperscriptBox["\[CapitalDelta]n", "2"], "-", SuperscriptBox["\[CapitalDelta]m", "2"]}], "4"]}], ")"}]}], "-", RowBox[{ FractionBox[ RowBox[{ SubsuperscriptBox["t", "\[UpArrow]", "HF"], "+", SubsuperscriptBox["t", "\[DownArrow]", "HF"]}], "2"], "\t", "\[CapitalDelta]n"}]}], "\[Equal]", RowBox[{"-", RowBox[{ UnderscriptBox["\[Sum]", "\[Sigma]"], RowBox[{ FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[Sigma]", "HF"], SubsuperscriptBox["t", "\[Sigma]", "HF"]], "\t", "\[CapitalDelta]m"}]}]}], "\[Equal]", RowBox[{"-", RowBox[{ UnderscriptBox["\[Sum]", "\[Sigma]"], RowBox[{"\[Sigma]", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[Sigma]", "HF"], SubsuperscriptBox["t", "\[Sigma]", "HF"]]}]}]}]}]], "Input", CellChangeTimes->{{3.771055542245883*^9, 3.771055602343852*^9}, { 3.771055926121025*^9, 3.771056010672286*^9}, {3.771056173313262*^9, 3.771056207179427*^9}},ExpressionUUID->"f6b2f29a-73a7-48c2-bb0c-\ 8d5348e0c4e6"], Cell[BoxData[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[UpArrow]", "HF"], SubsuperscriptBox["t", "\[UpArrow]", "HF"]]}], "-", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[DownArrow]", "HF"], SubsuperscriptBox["t", "\[DownArrow]", "HF"]]}], "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[UpArrow]", "HF"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", SubsuperscriptBox["\[CapitalDelta]v", "\[UpArrow]", "HF"], ")"}], "2"]}]]]}], "-", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[DownArrow]", "HF"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", SubsuperscriptBox["\[CapitalDelta]v", "\[DownArrow]", "HF"], ")"}], "2"]}]]]}], "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}], "-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}]}], "\[IndentingNewLine]", RowBox[{"\[CapitalDelta]m", "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[UpArrow]", "HF"], SubsuperscriptBox["t", "\[UpArrow]", "HF"]]}], "+", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[DownArrow]", "HF"], SubsuperscriptBox["t", "\[DownArrow]", "HF"]]}], "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[UpArrow]", "HF"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", SubsuperscriptBox["\[CapitalDelta]v", "\[UpArrow]", "HF"], ")"}], "2"]}]]]}], "+", FractionBox[ SubsuperscriptBox["\[CapitalDelta]v", "\[DownArrow]", "HF"], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", SubsuperscriptBox["\[CapitalDelta]v", "\[DownArrow]", "HF"], ")"}], "2"]}]]]}], "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}], "+", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}]}]}], "Input", CellChangeTimes->{{3.771088860481543*^9, 3.7710889959766207`*^9}},ExpressionUUID->"e0bb891c-b197-476d-9f41-\ a18ebddee1ff"], Cell[TextData[{ Cell[BoxData[ FormBox[ RowBox[{"\[CapitalDelta]m", "=", "0"}], TraditionalForm]],ExpressionUUID-> "07ef9dbd-9be6-4d8d-96ec-201e692af27a"], "\t\[Implies]\tparamagnetic state i.e. (singlet) RHF state\n", Cell[BoxData[ FormBox[ RowBox[{"\[CapitalDelta]m", "\[NotEqual]", "0"}], TraditionalForm]], ExpressionUUID->"147d5707-ff53-47dc-b98b-96c72a1ebd87"], "\t\[Implies]\tferromagnetic or antiferromagnetic states i.e. (singlet or \ triplet) UHF states" }], "Text", CellChangeTimes->{{3.771056013001246*^9, 3.771056153239757*^9}},ExpressionUUID->"ab2d1fe7-1655-425b-8575-\ aa43ab7378cb"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "5"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Abs", "[", RowBox[{"\[CapitalDelta]n", "/.", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"], "\[Equal]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], " ", "\[CapitalDelta]n"}]}], ")"}], "2"], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", RowBox[{"\[CapitalDelta]n", "/", "2"}]}]}], ")"}], "2"]}]]}], ",", "\[CapitalDelta]n"}], "]"}], "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}]}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"All", ",", RowBox[{"{", RowBox[{"0", ",", "2"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\[CapitalDelta]v\>\"", ",", "\"\<|\[CapitalDelta]n|\>\""}], "}"}]}]}], "]"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "5"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Abs", "[", RowBox[{ RowBox[{"\[CapitalDelta]n", "/.", RowBox[{"NSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}], "-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}]}], ",", RowBox[{"\[CapitalDelta]m", "==", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}], "+", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]n", ",", "\[CapitalDelta]m"}], "}"}]}], "]"}]}], "//", "Last"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"All", ",", RowBox[{"{", RowBox[{"0", ",", "2"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"PlotStyle", "\[Rule]", "DotDashed"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\[CapitalDelta]v\>\"", ",", "\"\<|\[CapitalDelta]n|\>\""}], "}"}]}]}], "]"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "5"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"2", RowBox[{"Abs", "[", RowBox[{"4", SuperscriptBox["c", "2"], "\[Nu]", RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}]}], "]"}]}], "/.", RowBox[{"c", "\[Rule]", SuperscriptBox[ RowBox[{"(", RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Nu]", "2"], "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Epsilon]", RowBox[{"-", "2"}]]}], ")"}]}]}], ")"}]}], ")"}], RowBox[{ RowBox[{"-", "1"}], "/", "2"}]]}]}], "/.", RowBox[{"\[Epsilon]", "\[Rule]", FractionBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], RowBox[{"2", "t"}]]}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", FractionBox["U", RowBox[{"2", "t"}]]}], ",", RowBox[{"\[Nu]", "\[Rule]", FractionBox["\[CapitalDelta]v", RowBox[{"2", "t"}]]}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"All", ",", RowBox[{"{", RowBox[{"0", ",", "2"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\[CapitalDelta]v\>\"", ",", "\"\<|\[CapitalDelta]n|\>\""}], "}"}]}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.771089331440563*^9, 3.771089532739723*^9}, { 3.771089569945269*^9, 3.771089574626499*^9}, 3.7710896092714653`*^9, 3.771090403346588*^9, {3.771090519717677*^9, 3.771090575711735*^9}, { 3.771090612793105*^9, 3.771090643585746*^9}, {3.771090676133334*^9, 3.7710906803946753`*^9}}, CellLabel->"In[62]:=",ExpressionUUID->"f40d7644-8746-4fa3-8415-a7d69e2ce758"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzXs0lAkcxnEa1DK21CaMy4y3DGMS7dmzUvx+od2KLghFFlPGlPsc9pTL VjZKUlNsLq2dpjatrGvatssaimQGm8hW2JTmCHWa0jQXw7vv/vGc7/n89bB4 KcFx8wwMDLZQ+7+VP/BMPPYW+iwhz+2S+wp92vuZgeHMfWA4IOF6tW4H8n7L j0zmQeguqS9Z2hoDla1FDsbMAuiQfL+A1poKid4ZSWqHcjjhGdmmkR6G/hlB idKhGn7OlZW/k4pg/tBL9luHm7DvWrzqmfQCSGTitCmHLuCq68NF0gaoqy8Y SnR7BnXkyYSTwjaIh77yN8IxmJQEMYdfd0GywmWsuW4C2o2bGIVWfWDKOsp+ 7qmEwhflHfLix3BqkZwjiZkG59YeD5Q+Bd7QDimt+xO0DggW34Z/Ia3jKC+F rYPRhgNbVMEvoDGVHmK1aRai1MqmpKgxkGQlTLqHG6Bt33o3oUgBuWJ90Mc3 hnho7esE74pxMOgfxTuZNGxQYXbdTxPglM4/sINjjMmLZIfoN6bglao0zOwv E+zPT74YU/cWNiv255xNW4CbhgUsm653sPWVyNXe3hSzjBW7zSeUMHmPd/hB rRn2+ZemmDx5D24Wg3Z+0ebotFRJDxn8AKagih2e/hz16f1HjrZMw7dvI9SO oYuwOmVgW+e1j/Dk7l7DCK4F6qxcFNGVKrh+vP07psoCd47buTJSPwHfOGO0 t3cxYs6J50MBatgjzLpOr1iCOSt+Y5MLNbAq3rU3MPYLVPJMPI06NfD3Yq5Z xpqlyD+d/mVYrhZu1+We59Is8XntqHJ0hQ6yDDnbu0cs0dWzONBNpgPT4cyN yc3LMJMx7+CbqBlQVLFKxNlWaFOWr0kdmoESZ2ujm6HW+JhUf8IwPYgq+J2x TBs0/uX4N2139BBREtVLH7dBVn2aVbzlLGj8L2vFLQxU7oxaE5E4C2MK3wN3 j9mit06aJG+ahYveHoyeWDsM89KsLFXNQm1ehkX8SnvcoPNdpnGdg2OhewJo KnscLFQH10fMwVfDkupjPQ44wnYJep0/B2Uu52t7Aph46xRHNXV1Dg61FpUF 3GRiyKMzAbSeOdjCCL0sW87CKgVf6j45B+uTOyMtCljYePv3Ebt5JIhtecu7 VSzMexr+p9aKhOX3rpzbGumI2flXM/pcSRCtvMt51OKIzsSLNP91JPCnjfq6 OASarZ7f7BRIAq/xA7PgNIF8cW5s9C4SEnND9JvPELivVOxVSjkjpPkfejGB O/SfaXspH1dlnBKdI9Bm1MTJJ4KEujXamdJKAj+kRvkyIknQtpGDVTUEPnD3 PvtwN/X/iF7U3klgdHWxjh1DQsWlJEF+F4EXinPO76Z8Kb3Xb6OcwHwPMXGG 8h+WIp28l8C1tu0TWsrDEUsE/Y8JXHaCu00WSwJ7zNrv5RiBfl9bFvL3kODe nGn/q4LADVz/qnLKXnlD2rhxAtfXnK7uphzIrmyYmCQwWHBDsHovCcIEpv37 9wRaND6U6SlnrzuibZomMN5M6LwqjoQ885cD6SoClV4XkmMpl9VfKtRoCKTR nzV3UL542Cj+lo7A/QsNr6sp1wTF+WbrCZTXTFW68Elodrxv5zNH4EjmlZRI yi3TTlqSJNDa3JdTRPk/HGdVdg== "]]}, Annotation[#, "Charting`Private`Tag$19162#1"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{0, Small, Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1nc4Fe4XAHDce82Le1VGxOUmWUXTqnOISmihgbJXRchKVJqyRdGwkpKG kUR0jUhmZpllZN1SfXHt3N/9/XGe9/k85z3nvM/715F3OHvYmYeLi2uIE/8/ ky868Go6Rezk1nllvkz121nVRjM9SnMHrvZ0NZ3yg8D+yLhKo52H+oSchFXl dpBcHiVHot2Cj+n+/IRyLzizw89jVu4ehGtZV8yVXYa2RbeEv3LP4Glo3b0/ ZbHA1zOoNCFXDKdeu7K6y9IgvS7V+6dcLajO5hyNLcuFVzm3es5s6IYX7MjT kT4V4Aot9375DMF4+iFa71gteA4rDxW8GodqUr50hGQLCMpfU/qu9RciB+5V 18d3QDSlXiXdbgqUyhs1sawLHHosyggNM1DR7iZWAt/Au/qaw1mlBfieG2jG OjwAeV5kc0njf2A0+zff48QQpF84zdQ4yoUyLfobfGKH4Urq0qHpX9x4Vnfs 9I77o3BQo8hbdYob3devDt38aBRkK87FOcxz43yAp6Vy9ii8G2Q2N5N4sCFo QWflu1GYVOw68FKWB0fneGZGukbB4cUbM5eDPOjIVSVyWWoM9Is9jTtf86CT Q+/3S0ljILJPxV30HQ+ul7yX5JE2Br3dw2G7y3kwtFOfbJ01BoFLNp8KGniQ Z08jfWvRGOSCyZ64YR7sjuOmjHwdA9pHJaN9EgQ8dcmeoSMxDlxt/VgaRMBc Fga/ujMO18YZ6UGhBOxaoq+AlHEQ4Erm0Q4j4EdaiPnnJ+Mgpn686s0dApY4 dn7+/XYcFG+27MnJJaAaYU2+cvc4ZCfnZHm8JeCOpw9i3g6Ow4aCKAE1BgGz XkqvMvo5DloDxvVZ9QQc43eSsF0ah326lfsfjRCQlvF7KlqWCU2H0nLsJgh4 JvYQebUSE8zdLlLkpjl5eb36xxuZYHNHp/UBNxF/1I3rFiMT+p9LbrbiJ2L1 JbMJA2MmOFfOxEuKEjFRNMiw4RATPP/kW96RIeLGVZ5DfQ5MmCTFFZrTidgY 2qHicpoJATJnJcRUiMj91kji9zkmLG0yC2zWIKJOcHSWXzATLhurdkVv59Rf u/Rt6RoTSHYCOmY7iZhyZqzoahQTwv1H7wsZEbFchT9adzYXRKKqF2tNiBj2 gmqdRMiD+IwMm7DDRISFwXi2aB5Ivgt9v/s4ETOsswy9ZfLgYbOtLMmOk7+T cn5ifR48+SfdH+pBRN08x3SSQR4UHU1wvBDGud8waljomwe9QtdPeTKI+F9e xRy9Nw/W+boEWqiQkPR1Ni3qdT6o63w3T9UgofdjGlwoz4ctXMc2MreRcOeS +PlzjflgEGk8cmkXCRXnhv9cHc2Hk4/VLJ7bkDCrr1JrncxruNs+uZEnhoTx ezvHgm6+BtLWS6M5UyQkNP188t6lAMiLs5UL8yS87C85Ie5XAGIVXilGXLxI ubPkHny1AGhmDpY9ZF40LW6DM2kFoOds9IF3HS8Gf1Id7e8uAN87QqknjvGi QLkGQ+XwG/jBSjwi9J4XhQvLHJ/tK4RH+pvP9X3gRZ08LeNl60KwjWqKyanj Rbttrz84ehRC91pSrXknL45YDdXbxRZCi7mP7sMpXqxpCwhR/FoIjDxTmroK H8q9eXL2l+tbSPTgZu5P5MPji8zHoolFYFH8kFc+hQ/HNN2OPcouAjGSFn3q MR8K/HIP3csoguiHnjaJ+XwYx9597/NwEVyr72n63siHQT4tL+u3FoOXcuFr LyI/ntYQtrzdVQz7hk+F3PbmR6P9BiilWQK7Q+gvDAP5cY94RuDI7hIwWNXb PXORH/88qvtUa1MCOkZmWtaR/PgkUWJtW1gJqGRunKI/5ccf7fXzUwMlIOQ8 7famlx+dVsiYhiWVQsOPEIvOPQJ4/t2Q+RcJBnwK3nY1fL8AzhRTBtM1GFC1 8k+enqUA7t0uFXLTmAGlhnai6Q4CaG9r4Jx+gQEvHhvUuYcI4PQl7e4VAwyI cuLDxXwB1Dp5jSmWVwb7f8SqysoK4tOgkRF8XQ4Nqj/abdYK4rnOAS//8nIw Obf94gMVQewnNdkXN5bDXp5vzZLbBXGVdWup61g5GNBU/VccFMSVhZa6brIV sNWmupz/iiBmdu+o44uqAJn2ecupYUFkbFaZ0/erhPvSZmzNX4Loe8Dbas+1 SpByTMvymuS481aATXwliE/uXpxYFkSd9NbNhXmVQKEkpI1JCOFRVsqM8p9K IJhu+NlnLIQBG6JXKXp8AOYHh8ufXgph9PGAcIJ/FcjFdZ6KLhDCinJ9m5Sw KrA4ud/SokQILVKyZ/Y/qALGnLZK/ych/KfTxD1ZXgW31ants0NC6P5MashA uBp0E8uUlFaT8Uv+BFs1uxoiT8l8vn6DjKPOnV58Mx+hYvvtYpMoMg5n7DJ5 IFQDM0T+x9QEMko0aG8ylq8Bu9SpwOR0MlopQOmUaQ1saa9TeFNKxrBQJ+bN zBro23He/8ckp55b+l2T9SfYQP2yZpetMNaSrF5N9tXCSNTIlTvOHN+yyHBl 1UKy4Ozo6Glh9HUKrZwl1wGZKJkfGSiMRiU+Yqf06oA5c3z3lzhhzB1I4H/w sA4ye/s83auEcfZilvcBh3qQyRoui1EWQX2NpK5VxEZoXzuzdnCjCJqoiPPr yjVCRDpv+JZtIsgiu1td1mmEhftKFl0GIhimcU/ijHcjdEa5jynYiODeFKeS hv5GiD83QSmMFsGfYZN3u6qbQBBY9r1TImjwSVF7k2UzBOqv5y9cEEG6QtuQ oUszjOyyfhXDLYoTFbNdHgHNULm3YsFAVBTrvaPWE+43Q9DhqPhnKqIYqVP8 ZWd/M/x0Vqz2txfFv5kftkh4t0BDpOV66mdR3Lel5KN2ZivoxIQ1MTtEsfe3 44sjxa2QFVfiW9Urin3pnxWjG1vh2l35igCmKK4qLXYxm2kF2eYZtT88FNxy fJUa1bgNvnRVVlvKUjB1+V9M01QbCFv3JlXKU9DpmKH6E4F2MOxlnd6oSEGp quWi+3LtkP9tvZiAGgX5xljbekzaIXoo+mSpNgVJjFQqI7Mdqp2yNJV3UPBr rrVLaGk7LA1XEO8iBU98HRx0aGuHU2PT2Wf3UHDlJoXJy9wdsGfCalbBkoLF h2c/qtt2QMrKq22XjlHQeqqgN8C/A6Z1n+f0WlNQ/3zR9v6oDtjn2BahbUvB 79SDyy6ZHZAWvuh614GCy7e/HyG/74CZPLrhlDMFN01/d21u7wCzLhPaQXcK Ln6dv75cOw2PuXyXXpyhYEZNdUtu4zQsKD3sFPDizLdnP3NomYaDB6oKXM5R MN7EW2RlxzQ88f8V+8Gf009qZLmqcxrMq/WMQ0IoGHCM56pi/zS8cOgr/htO wbLTSmIDv6eBJ5x01yyagiX/tTZHT07DsTx1n+w4Cg5HtEnpzUwDieuiilMS 5z+aFo3v/JuGk8myD75mUvBsxKKMAZkFlE7bYEY5BWvNJU9eV2aBC/vmMekq Tv/Ih1mq6iwoXZe7JbCGgmH+wkEtGixw9+Oa0GyiIHWxM1daiwWVYuknMnso GHeD7Ja9mwW+ZoM7I2c479U82ZDryILOSiduKzUqzkoqD9sms+CvfvfqkI1U /CN+i6s4jQV8FQe2pG2iYszyuRfUxyzYVqbjOqJFRctdmm8qslmQUEJp9DGi 4gm9bddlilhwoKA0KeIkFYNuZM+UtrLgY+ZKjfexVFT2Ev76lG8G3oRVnaSx qHhkdI2qtNcMuJD8+puaxHBHSPj3HpNZcPS58IZ8fwWGKGYpsUXnYKOrapOp /UqcdODVItbMwWcxNSE/7VVoG+O7+ciVeSh5deWBGkEcB1/2/+1XXIAL3CoH G/rEUUEr3nRD3QII9gbt9SyQwPPSPOd/nViE4SfyCanBkrgy6cacV88iJKyX IhZbSuEX9uwMHlmC2PsuNfa01chODttdUboEVgknmsijq5Ge4y3pKv4P5gwz 51MZ0jh57IS21Zl/MDRsEFh5U4azv5R51Of/g0c7NKUb7dfgUZ059UTWP3h5 3Y/qqi6LhgsGEnOqy3DT0tGEwJLFLxGzh3OslmFrb/qzm41yOKCkfGjsxjIk KT942WhCw/JoFdbP7GW4VB6VZFJMQ4vWOBNC4zKYSVtm1q2Vx8xhlzIN5jLo e9ZYU2/JY37Ji741PGxIlXFY28CSx4iuo0XzkmxY++Hp3f3WCnjhRrZfiyob YtUrVVoZCkijD3gb6rHBZYrYUqtCR9ImvoJ1pmxwyJuk3Yqho1vqFXvb42w4 c8V8aV8cHZ0SU3USOfYzL/hKjqfjwSWB+SaOw1h+0bF36bi6n3fdTis2vNKe X0xMpuOc1wkDaWs2zFewvzx5TsdPGjtuN9tw5reSo6pq6Gj3LH5ByY4N9zM8 3G7U0jElPuSBDccZvk279tbT8ZZmKj2O40Lx2IX6JjrqyVSNz3Pca7XCra2D jhLhagfq7NmgNCS1a3CIjrhdPMLFkQ0aBUGyj4fpaKRm+OQexzrXe+adR+m4 63nMswaOTZWSc8eZdDzi9tZtkxMbfE7TZP/7j44r8prrljgO1gudz5+io6uQ z/qNzmy4LjzY7sui46xOmqc9x0k5GRFzc3QkkLsLqjl+dJno+m6BjqdFud/M cvz8kLNB8BId65//TFZ2YUOBwsc1O5fp+C3o6VlrjhlT6+bZbDpKCxuoRHH8 P0Sdqec= "]]}, Annotation[#, "Charting`Private`Tag$19610#1"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0nk0FOz3AHCSEsNYisGMmTGirFGkvNwbqUgqSwsaS7a3RRtSKZK1jZCt V3a9JdsbisqWJWslJqFvJEKSLQwz5je/P+6553Oe89zlnEt3O2PjsUJAQKCF H/+fU6+5rdJ1v2US6b2t6+56Q5O6jzSrw7S/Ychzss5DVRZ4DZU3aLRLcLfE UNdQVRVSq+9QhWlR8P6R9qi6qgGcMvY7PU9NBp2oeCtL1V3wcck7fpL6GJwl aLRp1UOwuveb2i9qOXT3CXTnbvSEjOa0cz+pTZCssX8gcos/FBRG9Z7S7gG5 AlmN6EMR4AUfksfPD8IFLZWeoNh74DO0cbCkYBT8R84NT2Qmgig9VO2r4SRI izN2u+Y8hLuSLeoZLjMwl31LMbgvE9x67aqEWueA9Cs/r0z6EZyrD3U7o7YI g5eGK1KK86D4LMGWZMEF1+JRatCuIsi4cnJs02EB7HvRGhq75xmEpHEOzo4L 4hB9G0s3sgwEPvbjq8tCKGVIvNBiVAGho5UZl68L4cFfqi3q+ypgjUDqim2R Qji35oV6ArMCpLWO1pXeF8LDlj3a965XwPqID7sLi4Twn5MdcfJvK8DSqNY6 c1gIpX+lm1w7/BLisrKcIm1W4mqiJv1X0CtQ9fUMsFMXxomvN82MFytBa/tX 27RNwqisbCn2ULwKtggc0RkzEMZ7BC9tAr0KTG9bDAeZCeM1x8/PJfdUATNb 0y7PSRjTB+h6rxKqIKFzWmdFtDAaxu7ot1WsBmH9oB+FM8K45Bfbd7+6Gr7/ STwk9noVJrnQZ6fptZC5Y/OFL29WYbcXUTpQuxac77RHFzavQo7DQRmiUS30 qAg32XavQjXZlh82drXwwfa80T8zq5A28nraJqIWKoutaFrqq3FTwLow49+1 kHhacMw6cTVaJ78IWtX4BiyHTlyNPSeCQyG8zL6keth1lfF0Z4AI5pn1uI4/ qgfTdX09c9dEsDfwgqfI83rYbr7P0PG2COoxf57z6KoH9RydGcYjERy5Pvyz RLoBxDxmvUv7RFAlysW9JLoBWr9ftevevQb1XTZUR8c1gvX3GA0lJVGUKh34 t7S+CVo1vnc6qYiiGUOExGM1wd4LW689UBdF4Suof2ikCfas+N970lZRnO7x eaol1gymNA1/mQOi6Ez4OBVysBn0neqrRUJEUaE8mdzR3wzkTrb9zJAotpTF WDqLtsLYG7fgt/li6PJBotDodjtQ73WfuFsihq5UpsH6rHawY1rb270UQ51r 9GnlinaoXNim3v9WDH/mnrF3HGmHWC2pzvlBMXyQc3imxvwdGCVWqakpEPCs wTqe0Yr3cPsE+V1YOAF93Ojjok3vQVuKRTFzFsfEV3Uqxy51wPCd4ZD7HuL4 o+hke2l4B6SKzv/4cVIc0wNoCfLxHUBYSfrvdoA46s33Zq8o7ICxuaO7WPfE kbg6tM5xqANy+r74/F0nji80PEHP7iOQ/x2qit4ogVMLk8z/tneCKPxx7ZuR wK8dDtkkLRYE7NggUrYogV3PQu4PmrBg2MyxIFqQiGPTv9wrD7Cgdk/NoimR iP0G+e+yfFlw2eZO3GN1IjbuomjqvGbBT4/19f6uRAxt31Fsc/ATtN623yD1 johFLJUYeng37P7lMK9sL4nb9IwSTqn0wsO1Nz4GHZFE5zWqUuu398KsUV5h n6MkRueopvze3wvpN5e8EtwkUd7/y1LFlV5YVPune81ZSfR64i+g2dkLT92+ lE/elESPIcL3a5F9INntHFhZLYnkU5ybyrwv0F3rLuigKYXDou8HpmL7YXJH j8JVHSmc93ugZJnWD6tr9m9J15PCs7m00Sd5/WBQtd1r2JDvRnWN8Lp+iH8p 2XbeXAqDJR9dzprrh/0lr5JuMaWwy3Cy/ZLTADTkrN30OkYK2WphKgna36A0 so5J+yOFhRLK146MD4KnsF9/e7s0bpjarOJPG4Hj56+UElJkUGFk19PfF8dB x0uj3cp1LX7+Ou72j+8kvJPWFPPbtg4bjJft/T9Ow8uCkAeaQrJYXDbmkNg/ C1cE1Q+0fpHF4UzZZuWuORjeKdatOiCLyds/oW7fHByIHHe+/l0Wgw1NW7cP zoEKsfCMwU9ZbNifSoWpOWglb4lOX5DFK65Pigji86BkaNLuKyOHXxX03F+a zUOtj40VxUIOM2h1sd758yDad3mPT4kcvvgpbKN9fgEMLj4Wj34uh/XqwroZ FxfAVbq7o7BCDieY9fPEqwvwYo/+salqOZR6nmo6ELEAnqW/z/m2yaFdgAnb JnUBau66P7g8LIeyXrN2vo0L/HuznggnkTBurcp4BYkNQ7n0+LRAEi4XmSS9 KWTDeOgAWyiYhOJxr06klbBh2i3D2fsGCdcVxC77l7NBgErX0L1Jwv1/Sv3k 37BBIZFWW5tIQl1782kNFhsORFAnh/4j4XG5v/OjltjwyotipTlKwlmdQ+V/ mS1C/Ab5leX28hjr8JuwoXERnJiqjwaPyKNrkLlNU/MiqMRvtpRwkkfKlh9R Xu2LUMLbF3PcTR6VCp99TulahE5WCFnijDw6R3wx+TK4CDJh41uOR8qjMbw1 /MhbhNiBKg/xl/K4aCMZHa+/BDEpno2uNAWkDIuOTiQtwUX/kAuBDAWc9U7y e/9gCZg2D6mJqgrIaKpML3y4BJqirIutmgroso/b45m9BE2XzDds3aaApDwi qbxwCVYcVYki2ChgaPCM/0T9EvjJfbN8fkMBJfdKJj+ZXAKH+GPthB8KOHZm 5HkHcID8TFTx5JgC3nl/WptpyoGvH557Nf3i/ycwPX7s5IA7UVowfFYB42nG lBkLDvjcbNjME1RE3wtVU79tORASrJM8RVbEkisrJa57ceDxKUF3lo0iei3E PSPe4cDCzhx2WqUiFpuZF+3r4EDgy7QbdTWKOJyhZWnQyQEBvRTx0TpFbDtm 7ERhcWA1NZqu16KI66v8J4Y/c0CWHWBR90kR34qETnsNcGBzvlXyyKQi1vid L1Ce5M+zbtZQl0HGUk+ScyiBC4NDpgG1EWR8TvOfgR1cME1rz1S/RUamXEfM tCkX0o84tMXeJWN6S0511k4uMFvOKR+/T8a/f7t8EdzDhZ6i9FahLDJeGrqp l2/NhY4ryzTzSjJa71odUuPIhVqpiqbGWTLmSh+mjPlyIdNYV7HNlYI9RWGr QrL479aiN5bcKXhev0u9NZsL35wHxzZ6U/BgG/3QulwuMELuV4T7UBCuG9dn /8uF7Ab2UbxCQY14stKLfC7k7K9NehZPwdeFUYHFz7nwr6utbEojBcUjR9/N NnMhP8xPyktLCUf0kneOTXBh/K9jIWGblNAzSs14/jcXNGd3zmRtVsLAoBJ/ oSkuPHFb29W/TQlNGo4Xys/w68GzJIddSlh3W9XCeJ7fnz1JtXZWwpKT2U9d eVxIOX1KW/+eEjIdEsMZxGWIsD++V+iPEopYb9R/qrkMmfv7nDwWlJByw3F3 htYyvLKw92lcUkK1D57Z97WXYdp4971bK6jodT5jR+CmZXBS1fgkI0nFC3X5 Cju2LIPe/LSbigYV5ctUux4bLcP/kkIum7tS0d7Fp3zJYhn0+zIeR7RRcbZf MLfGfRmSNj7Ib9tLwyStJ1XdMcsQVH0naW85Dd+Q5GWY5cuwT9E+p1mFjr0C Zdc0e5dhh0+jo1QUHQOCjc7azy1DGtlNpfUPHdu7m/JZRB6ovHmUYO2ojAdG y2zuqvAgRqtWvaNSGQcuvI07bcADz5mVH5rUGTjhH/v5+m4euBVP06KiGUg6 V9yYZM+DUyG2HMt7DLzITpTo5NvPtuQTIY6BjilbtxIP8SDyj9/dmAQGepdP a4XxXbCNvZSYysDWwchnZw7zgF3DY+XmMfBrxY1NcJTfv4Nwp66RgV1+EwFv nXiQknXaO7yJgQmXO8gCx3iQ5dtutqeFgYI0VvZWvstkYxZb2hlosz7MNZfv PgcZ749dDNz9OTA6hMkDtUF5s2+DDJz7dKlN34UHm0ouK2UPMfDsjTcvT/K9 PayX7fGDgWfKLKIz+LZSSy0aHWNgreDBYYIrD86fpClNTTGw5ZDWoW98B/51 nf3fDH+/t8Zn5dx4ECb+rdP3DwMLOTJnrfhOKsy6tbDAwGlLe3oZ35nBK70q FhmoK/2tY4zvvIMepoEcBs7OXTxBPc6DEuUGiskyA1kFaiO2fFfOqLJ5PAb+ 9U3QKpLv/wPJEvB8 "]]}, Annotation[#, "Charting`Private`Tag$20798#1"]& ]}, {}, {}}}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"|\[CapitalDelta]n|\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {4., FormBox["4", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {6., FormBox["6", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {8., FormBox["8", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {10., FormBox["10", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, {0, 2}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }]], "Output", CellChangeTimes->{{3.771089340270051*^9, 3.7710894061172867`*^9}, { 3.7710894645895977`*^9, 3.7710895072655487`*^9}, 3.771089610623036*^9, 3.771090404407309*^9, {3.77109057646087*^9, 3.77109059431013*^9}, 3.771090629703487*^9, {3.771090670372056*^9, 3.77109069895172*^9}}, CellLabel->"Out[62]=",ExpressionUUID->"d463315c-9f13-4df8-b210-ee9c5b43e6b2"] }, Open ]], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", "1"}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"]}], ")"}]}], "-", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], "\[CapitalDelta]n"}]}], ")"}], "2"]}]]}], "/.", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox["\[CapitalDelta]n", "2"], ")"}], "2"], "\[Equal]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], " ", "\[CapitalDelta]n"}]}], ")"}], "2"], RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{"U", " ", RowBox[{"\[CapitalDelta]n", "/", "2"}]}]}], ")"}], "2"]}]]}], ",", "\[CapitalDelta]n"}], "]"}], "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"All", ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10"}], ",", "5"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}]}], "]"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", "1"}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"1", "-", FractionBox[ RowBox[{ SuperscriptBox["\[CapitalDelta]n", "2"], "-", SuperscriptBox["\[CapitalDelta]m", "2"]}], "4"]}], ")"}]}], "-", FractionBox[ RowBox[{ SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]], "+", SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]}], "2"]}], "/.", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}], "-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}]}], ",", RowBox[{"\[CapitalDelta]m", "\[Equal]", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "-", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}], "+", FractionBox[ RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"2", "t"}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[CapitalDelta]v", "+", RowBox[{ FractionBox["U", "2"], RowBox[{"(", RowBox[{"\[CapitalDelta]n", "+", "\[CapitalDelta]m"}], ")"}]}]}], ")"}], "2"]}]]]}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]n", ",", "\[CapitalDelta]m"}], "}"}]}], "]"}], "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{"All", ",", RowBox[{"{", RowBox[{ RowBox[{"-", "10"}], ",", "5"}], "}"}]}], "}"}]}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"PlotStyle", "\[Rule]", "DotDashed"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}]}], "]"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", "1"}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", RowBox[{"0.2", ",", "1", ",", "2", ",", "5", ",", "10"}], "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "20"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{ "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Top"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.770787929775593*^9, 3.7707879772481327`*^9}, { 3.770788738939043*^9, 3.770788782918985*^9}, {3.770788821172515*^9, 3.770788890847322*^9}, {3.770788951660322*^9, 3.770789034255199*^9}, { 3.770789103904619*^9, 3.7707891844838867`*^9}, {3.770789316345889*^9, 3.77078931659569*^9}, {3.77078939220636*^9, 3.770789425072637*^9}, { 3.770789698839904*^9, 3.770789788941246*^9}, {3.7710875678257008`*^9, 3.771087578772654*^9}, {3.771088421134201*^9, 3.771088488934512*^9}, { 3.771088571918447*^9, 3.77108857420935*^9}, {3.771088834489408*^9, 3.771088841369731*^9}, {3.7710890777556458`*^9, 3.771089107591166*^9}, { 3.771089173457418*^9, 3.771089175617285*^9}},ExpressionUUID->"5636393a-75a9-41e0-9fe9-\ 4d7ddc283dbe"], Cell[TextData[StyleBox["There\[CloseCurlyQuote]s still something wrong with \ this part.", FontColor->RGBColor[1, 0, 0]]], "Text", CellChangeTimes->{{3.7773471779791937`*^9, 3.777347186266739*^9}},ExpressionUUID->"09a173da-a547-4578-8e93-\ c039fc11a09c"] }, Closed]] }, Open ]], Cell["Fractional particle number", "Section", CellChangeTimes->{ 3.770909815421789*^9},ExpressionUUID->"201fd9e1-9505-4edd-96dc-\ e4f52fbb9f32"], Cell[CellGroupData[{ Cell["Many limits of the exact functional", "Section", CellChangeTimes->{{3.771565035292324*^9, 3.7715650450438213`*^9}},ExpressionUUID->"22ad422b-1c63-4387-b39b-\ ae28fdf5346e"], Cell[CellGroupData[{ Cell["Small-U limit (work in progress)", "Subsubsection", CellChangeTimes->{{3.77120862490454*^9, 3.771208627505728*^9}, { 3.771208728290947*^9, 3.7712087314258947`*^9}, 3.771565056734338*^9, { 3.777347227099762*^9, 3.777347230674838*^9}},ExpressionUUID->"5fbde334-5dd4-47a9-b95d-\ b2f04b2d880e"], Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["g", "n_"], "[", RowBox[{"\[Rho]_", ",", "u_"}], "]"}], ":=", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "n"], RowBox[{ SubscriptBox["c", "k"], FractionBox[ SuperscriptBox["u", "k"], RowBox[{"k", "!"}]]}]}]}]], "Input", CellChangeTimes->{{3.7715655481501303`*^9, 3.7715656078224087`*^9}}, CellLabel->"In[29]:=",ExpressionUUID->"8aa04527-2f73-4dfe-b2d3-6c34d4af00f6"], Cell[BoxData[ FrameBox[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox["g", "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox["g", "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox["g", "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "g"}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "\[Equal]", "0"}]]], "Input", CellChangeTimes->{{3.771210779380275*^9, 3.771210848283779*^9}, 3.7715656178322363`*^9},ExpressionUUID->"fcab0c08-ff08-4b4c-a4eb-\ 9305129ad892"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "0"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], ",", SubscriptBox["c", "n"]}], "]"}], "//", "Last"}]}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.771343433887885*^9}, {3.771343502903228*^9, 3.771343503549183*^9}, {3.771346299666362*^9, 3.771346300374065*^9}}, CellLabel->"In[30]:=",ExpressionUUID->"eb9b0f47-3089-4da1-9f88-992578a6b1fa"], Cell[BoxData[ RowBox[{"{", RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343434490583*^9}, 3.771343503857106*^9, 3.771346300869047*^9, {3.771565603851495*^9, 3.771565610675757*^9}}, CellLabel->"Out[30]=",ExpressionUUID->"7cd33377-380f-4b1c-857e-0f6a4046c590"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "1"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}], "//", "Last"}]}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713435393046713`*^9}}, CellLabel->"In[31]:=",ExpressionUUID->"0defd66f-3f47-41dd-8d2f-bbb3c6762027"], Cell[BoxData[ RowBox[{"{", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343540761883*^9}, 3.771346297901451*^9, 3.771565631814704*^9}, CellLabel->"Out[31]=",ExpressionUUID->"4621985e-b072-49be-8a5f-d83ef42dd8df"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "2"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713435589208593`*^9}, {3.7713435895523767`*^9, 3.771343589904711*^9}}, CellLabel->"In[32]:=",ExpressionUUID->"9f34b4a2-2485-4ed3-b53b-9adef8e6be08"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343559428401*^9}, 3.771343590306632*^9, 3.771565633911433*^9}, CellLabel->"Out[32]=",ExpressionUUID->"efaac885-6125-41ad-b449-5c1ee6dc5b2b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "3"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713436001888533`*^9}}, CellLabel->"In[35]:=",ExpressionUUID->"cf94ef6e-f3e0-4d14-a88d-c0e09e0c6011"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343601287202*^9}}, CellLabel->"Out[35]=",ExpressionUUID->"173a1938-20db-4134-aa13-2dacdf69c15f"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "4"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713436001888533`*^9}, {3.771343640634666*^9, 3.771343656237653*^9}, 3.771343695810667*^9}, CellLabel->"In[40]:=",ExpressionUUID->"29ab293e-a86f-4d8f-a46a-edee4caf787f"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.771343649106743*^9, 3.771343696279591*^9}, CellLabel->"Out[40]=",ExpressionUUID->"837f6493-c57a-481a-b89d-2b714a9753b6"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "5"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343700867867*^9, 3.7713437077336617`*^9}}, CellLabel->"In[41]:=",ExpressionUUID->"8893a596-0b1e-4ee0-99fd-14c102caf2c4"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], "}"}], "}"}]], "Output",\ CellChangeTimes->{3.771343708277652*^9}, CellLabel->"Out[41]=",ExpressionUUID->"97cd80ff-fabd-4b4a-9dd8-f67eef2daac0"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "6"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.7713437170640574`*^9, 3.7713437194813757`*^9}}, CellLabel->"In[42]:=",ExpressionUUID->"30cb09ee-2c3f-4111-9bd8-1b5ba8a6b078"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.771343720254058*^9}, CellLabel->"Out[42]=",ExpressionUUID->"16be732e-4dd7-4f65-898c-0fef0566634f"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "7"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343759708733*^9, 3.771343762479124*^9}}, CellLabel->"In[43]:=",ExpressionUUID->"9c0814d5-79e2-4445-9700-585c40388f34"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}], "}"}], "}"}]], "Output",\ CellChangeTimes->{3.7713437631751547`*^9}, CellLabel->"Out[43]=",ExpressionUUID->"4c6ba3ec-deba-48a0-af28-bc531a79add3"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}]], "Input",ExpressionUUID->\ "9fd86964-f39e-4e97-8987-420ae1052b24"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "8"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343759708733*^9, 3.7713437859342012`*^9}}, CellLabel->"In[46]:=",ExpressionUUID->"08260735-d204-4d21-b1d6-2b355bf1355e"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "8"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"2205", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "-", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"272", " ", SuperscriptBox["\[Rho]", "8"], " ", RowBox[{"(", RowBox[{"419", "-", RowBox[{"798", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"456", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}]}], ")"}]}], RowBox[{"256", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.771343780884714*^9, 3.771343788570665*^9}}, CellLabel->"Out[46]=",ExpressionUUID->"83409988-f161-4e7c-b9f3-fed9f35ea06e"] }, Open ]], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}], ",", RowBox[{"-", FractionBox[ RowBox[{"2205", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "-", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"272", " ", SuperscriptBox["\[Rho]", "8"], " ", RowBox[{"(", RowBox[{"419", "-", RowBox[{"798", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"456", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}]}], ")"}]}], RowBox[{"256", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}]], "Input", CellChangeTimes->{{3.771343798150231*^9, 3.771343798451414*^9}}, CellLabel->"In[47]:=",ExpressionUUID->"b11707bf-4667-46d7-8fe1-a32880fe044f"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ SubscriptBox["c", "n"], ",", RowBox[{"{", RowBox[{"n", ",", "0", ",", "8"}], "}"}]}], "]"}], "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "8"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"2205", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "-", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"272", " ", SuperscriptBox["\[Rho]", "8"], " ", RowBox[{"(", RowBox[{"419", "-", RowBox[{"798", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"456", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}]}], ")"}]}], RowBox[{"256", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}]}], "}"}]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.77134382687157*^9, 3.771343845353775*^9}, { 3.771344218206153*^9, 3.771344242486761*^9}}, CellLabel->"In[54]:=",ExpressionUUID->"961a4c58-2765-4201-a425-f8fd7bd0a747"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Coef", "=", RowBox[{ RowBox[{"{", RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]], ",", "0", ",", RowBox[{ RowBox[{"-", FractionBox["1", "4"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"5", "/", "2"}]]}], ",", RowBox[{ FractionBox["3", "2"], " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}], ",", RowBox[{ FractionBox["9", "16"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"7", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], ",", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", FractionBox["225", "64"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"9", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "8"]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}], ",", RowBox[{ FractionBox["2205", "256"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"11", "/", "2"}]], " ", RowBox[{"(", RowBox[{"5", "+", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"113968", " ", SuperscriptBox["\[Rho]", "8"]}], "+", RowBox[{"217056", " ", SuperscriptBox["\[Rho]", "10"]}], "-", RowBox[{"124032", " ", SuperscriptBox["\[Rho]", "12"]}]}], ")"}]}]}], "}"}], "//", "FullSimplify"}]}]], "Input", CellChangeTimes->{{3.771344610291851*^9, 3.771344648177322*^9}, { 3.771344696275141*^9, 3.7713447267318697`*^9}, {3.7713447814721947`*^9, 3.771344833391876*^9}, {3.771344913304099*^9, 3.771344922851901*^9}, 3.771345272535695*^9, {3.771347747754327*^9, 3.7713477483912497`*^9}, { 3.7715651407590523`*^9, 3.771565146564661*^9}, 3.7715652033739634`*^9}, CellLabel->"In[10]:=",ExpressionUUID->"bb9770ca-a634-48fc-8766-3a0ba572819e"], Cell[BoxData[ RowBox[{"{", RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]], ",", "0", ",", RowBox[{ RowBox[{"-", FractionBox["1", "4"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"5", "/", "2"}]]}], ",", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}], ",", RowBox[{ FractionBox["9", "16"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"7", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], ",", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", FractionBox["225", "64"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"9", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}], ",", RowBox[{ FractionBox["2205", "256"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"11", "/", "2"}]], " ", RowBox[{"(", RowBox[{"5", "+", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"113968", " ", SuperscriptBox["\[Rho]", "8"]}], "+", RowBox[{"217056", " ", SuperscriptBox["\[Rho]", "10"]}], "-", RowBox[{"124032", " ", SuperscriptBox["\[Rho]", "12"]}]}], ")"}]}]}], "}"}]], "Output", CellChangeTimes->{{3.7713446110856657`*^9, 3.771344648740554*^9}, { 3.771344696698926*^9, 3.771344712812035*^9}, {3.7713447883641577`*^9, 3.77134483400369*^9}, 3.771344940462893*^9, 3.771347749035977*^9, 3.7715651502464314`*^9, 3.77156520386483*^9}, CellLabel->"Out[10]=",ExpressionUUID->"8726a488-4cc6-46e9-ba80-d0ebfa3a633d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "8"], RowBox[{ RowBox[{"Coef", "\[LeftDoubleBracket]", RowBox[{"k", "+", "1"}], "\[RightDoubleBracket]"}], FractionBox[ SuperscriptBox["u", "k"], RowBox[{"k", "!"}]]}]}]], "Input", CellChangeTimes->{{3.7713449416596622`*^9, 3.7713450066896048`*^9}, 3.7715651516703587`*^9}, CellLabel->"In[11]:=",ExpressionUUID->"695e4dee-056a-42db-a9b8-370aa0ad1595"], Cell[BoxData[ RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]], "-", RowBox[{ FractionBox["1", "8"], " ", SuperscriptBox["u", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"5", "/", "2"}]]}], "-", RowBox[{ FractionBox["1", "4"], " ", SuperscriptBox["u", "3"], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}], "+", RowBox[{ FractionBox["1", "8"], " ", SuperscriptBox["u", "5"], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], "+", RowBox[{ FractionBox["3", "128"], " ", SuperscriptBox["u", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"7", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], "-", RowBox[{ FractionBox["3", "16"], " ", SuperscriptBox["u", "7"], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}], "+", FractionBox[ RowBox[{"7", " ", SuperscriptBox["u", "8"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"11", "/", "2"}]], " ", RowBox[{"(", RowBox[{"5", "+", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"113968", " ", SuperscriptBox["\[Rho]", "8"]}], "+", RowBox[{"217056", " ", SuperscriptBox["\[Rho]", "10"]}], "-", RowBox[{"124032", " ", SuperscriptBox["\[Rho]", "12"]}]}], ")"}]}], "32768"], "-", FractionBox[ RowBox[{"5", " ", SuperscriptBox["u", "6"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"9", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], "1024"]}]], "Output", CellChangeTimes->{ 3.771345007319716*^9, 3.771565152880014*^9, {3.771565198402199*^9, 3.771565205470788*^9}}, CellLabel->"Out[11]=",ExpressionUUID->"36b91705-495e-48b7-bc24-2453358f018e"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"gmin", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "5", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", RowBox[{"1", "/", "3"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"PadeApproximant", "[", RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "8"], RowBox[{ RowBox[{"Coef", "\[LeftDoubleBracket]", RowBox[{"k", "+", "1"}], "\[RightDoubleBracket]"}], FractionBox[ SuperscriptBox["u", "k"], RowBox[{"k", "!"}]]}]}], ",", RowBox[{"{", RowBox[{"u", ",", "0", ",", RowBox[{"{", RowBox[{"2", ",", "2"}], "}"}]}], "}"}]}], "]"}], "/.", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "-", SubscriptBox["n", "1"]}]}]}], "/.", RowBox[{"u", "\[Rule]", FractionBox["U", RowBox[{"2", "t"}]]}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "5", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.771345134381372*^9, 3.771345238754568*^9}, { 3.7713452954373817`*^9, 3.7713453448055267`*^9}, {3.771345990157563*^9, 3.7713459971806*^9}, {3.7713460513204803`*^9, 3.771346055312216*^9}, { 3.771346104108643*^9, 3.7713461152400713`*^9}, {3.771346194546282*^9, 3.771346211866336*^9}, {3.77156522034243*^9, 3.771565246447689*^9}, { 3.771565410663207*^9, 3.771565484285173*^9}}, CellLabel->"In[26]:=",ExpressionUUID->"13d78832-7413-4773-a443-a1a8bfaef30b"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 0.0002856604710383269}, { 0.0005827660898796174, 0.03413477296282887}, { 0.0012575006171516125`, 0.0501333335824916}, { 0.0018402258907046993`, 0.060637237579376016`}, { 0.002422951164257786, 0.06956749709834613}, {0.0030976856915297816`, 0.0786447813579917}, {0.003680410965082868, 0.08570909334516502}, { 0.004263136238635955, 0.09222952761539074}, {0.004842794537065078, 0.09828317268127487}}], LineBox[CompressedData[" 1:eJwdmXc81e8bxhGFRPZIIpEkVKIUl5UiaRhJUiSiUmmThtKiklESUZIS2SOV lZWs7M05nIGyOdap3/P9/eX19nw+z+d+1n1f13MUnM/sP87FwcGhsoCD47+/ 62P2sKVErqG7maPmdf83KC3fqf7r7nW4KI03ymnmI7enruq79U20uQe1fpQv wNm9LuYOz27hlSAtMP1LAVyNvcRin/sh4pr7cObGQnRq3DN+JH0HzlPvDFIo hQiNlipQOuSPPzVyjnGniyCjyVf7IfAuuk80nysaKkJgpOT05uF7WDHCGWZ+ 8zvoVaffLNB8gIYfvffMOIpxytEx7Z7TQ+wvnvuofrkYK6uH1eVjA5AgvcDw 2GgxrtxA3ZPiQLxyVtMbdyiB3K7J049tH+NdWYtaxVAJti9/+7bf7QlUnzp1 5u0pxfXSiKWF1kE42/3KLT6/FAev91o+mgwCu5Phd2hdGbS01R4dfPYU8m+D uqfDy9At2OAovDoY/fXa8wrTZeAyfzdtWBqM1Ij7CYuPlONwle318psh8Fil kHe8sRwx4nvuPpQORYzc8K0orR/wqXpebJsbCnbbfLTx8x+w9e/hUjwUBs1P awcPTf/Aer01hsNzYVBtOnVp+kAFBCbP3fgS+QyqiuuMVLIqwEjM/XZP7zkG V687NivyE0UuC+atup7DsXK5ua/nT+g58juxHMMhscTgyI+snzBQvLts8eYX eLfGKmyhRiWsAjuzcgpe4GdOm3Ds1UqomyhP3nGKwODr6ZIjtZXgm/fcuI/r Jd5n2DnyKFehLz373PLYl0D8zJco7yrkn+RI6TeOxFzk8Mf11VWIUDQbyuyL xIbppgs/5Ktxqf2pmp9/FIy6tWRPe1VjX0ibh6XyK0hGyTqt+l4NtV2KH2TK XqG1p2xiUqQGZ0OWpXYciUZyoYjQ/OEa6IdxfXLkjcG7DQa76ek1OPL5b2q+ dQwsWzL0drNrIL4mSN3u2Wt4BGZwHgirxS3e9NUPpN/ismnItyVpv7CVtb/T 9tRbuEZkFho2/sLjkhPPzFvf4pZhYrTsgjr4FO8251kRhyV9dENN+TqIWnnY PvQm3D2YxWdah0pDfgG7qjjYKg5Fz7nVwaVWWapT5R2cDnDuX/eoDnL5pVUJ Pu9gLRAsEfCpDpm7e1s1mt/B0Pmgr2x9Hc5su/2EvSYe4ituTw6O10HKx2lE +VY8mrdvFNWQqAdV+vtseE08+BTl3cq16pFcn3/xk+p72H13FOKzq4fruYq7 2gHvcXfbJksx33p8KJFaoUJ9j1D2p0drX9XjWEZOw6TWB6zxkuU6/60eAuPP Nq0I/IDtJhYmCl31CO/0Ns78+wlebp6hzhWNMJQ9+LbLJhnPN5gdPsVoxIC9 Dg9vUjJu+lUI7eBuQpxZc27jv2Ssqvzp6b+iCeJi0lvaNVKQ/2ejRad+E7wW 94saHUyBS/I+xe8Hm1CqalfcdCcFvY3OysyLTZAxL7twMiUFfV6bTShPm3DG XVuJoyMFfw9X2CQnNaH4flxj6KJUFAopde7/0QT2irGF6VtS8cL59RyD2YRT Zbe18xxTsU9p0XtZjmZkCwZ/vRmYCs/nG96+km2G2ELn54zMVBzlldxsrN2M AxeFxptpqRA5fii9zKoZeSYG00uXpKH6okFdxclm8AVaXq/XTUOD2LRS/L1m uN6WO6jrkgbzSMXm7JhmfHnziK/mSRoCLWUSJ3ObsdIrT5A3Ow3yN65Vnq9r hgvlpMc0PQ25AzEznMPNGFoqL+3Nk46tNpd4JDlbICBv/lNBPx2c+Cfuu7IF R/HZJ8s9HVpc+214trUg01FFbVdYOq5qCrz3sGmBqO30wrS8dGhyX5z0ON0C /mObpSmMdMiyuCzV/FvwoU9MVEcmA7epbWsE3rRgYUffnyjjDKy/45uQ8LkF dgdfJ4+MZmDFVR6O9mWtGG635n8jk4mtyZNmvhtacdeR97iVcSYamkb8uc1a kX7sjExWaCYOmZRqFV1shTl95UW3b5nY5vQibCagFT0nmmqk6JmoakhOkXjT isuDD1QrBLNguieFLZ3TCkFPPX8fnSwc5VuSsqC6FXEjI91qR7Nw5fAazYbe VgQWqKdzPs3Ce473R3vYraifPBD2JDULDkUePWuE2uBxZfGIQVsW1i6u+5m8 qg2cc3nmY1zZCGvgNlqu24ZwX6+42LXZqHBtjPPa0wZ1DmUOG+tsRC3rGEl2 acO54axrbO9szFRLvCm70oaU8OSQgvhsnH0cVjLypA1j9wyWuldno3Rf/EBb bBse8E94yLCy8fKEbXpuThvkH8WX/FyRgyCJ04W3q9pw7NpmowumOUgck4tf R2lDTULt08VncrDpwdvgb5NtcJn/l8cVmYNXVqotHgLtqFUNF4wozsHtwkHz Svl2iMqsCTAazMHqLYf+yWu1w5Yvd9Gg8GfMKfdIOe9oR2hamtwn/c9Iz5yw DzvcjubXxi9tj3/GWz/x5MSz7Shlp26ZevAZLsfuW6T6tYM7PmHv56zPuBnY RokOb8eGROGFsry5uGlFH0BBOxb/u+WwQy4fz7sKS8aEu/DxYWv2OpN8yIYk HtVY2QXh9ISFS8/mIzPwq8CgVhdS9bmcp8Ly8deAmsW3vQv6H5qPtX8j7cli tWM2Xfj84VlmtnoBFok4nON40YU/Vr+/7qouQNiW6DAH2W7YvH/+8/ySIui/ fF14QKAHSvuGmN8DinG5JvBW72QPXvItMN4fUwyGsOfMQnYPlibFBPBnF+Ng ZtWSPm4KZnmt1PdRixF00UL1pygFI9qJNyZYxXAwyt2waRkFLm1m5YmCJWjN jPFkraSgLdhx5VbFEnQ7qD6cWkNBbUH2+a7NJehI92jbvZ6CkqGlJbcsS7DB bNv4q80U5C4a597jWgL/gcLdbw0oSDH/7lZ+tQQtjyry1XdQsGroaMrNIFLX szSkKiwpiHh3kV8orgRKEoHq72woCGqoPpSWWwKt4mdVLQ4U+HOpJNnUluDm 15tOPC4UzMSVTC5hlGDNQzW3eycpOOPYtidyrgTWh2xTLLxI/IEbX0O4FOAI O+Z2lQL73MAxqnIpxLm/6V27ScEeJs347jbCBykaAfcoMJFA2Jr9paB+e60X +pgCXZNweqVbKRQSLj96Hkbin080OHStFP33lN9tjaRgZUD9Zb2wUuw6OVOq /5YC6erYtqz3pWipl0q6nkCB4Pz8Wvu8Ulx8v5XpkUoBt6qtL7uefM9N7Ny+ HBL/geTqmP5SLLtVarohn4Ihf155k3+lMG977r+klMSvv9y7TrQM/R1JXwIq KbA78O9z9NoyPPd9q8rfQEG1kJiYukEZviYP+Pq2UXC5egvCJ37gGTXN4dd7 KgTVM2k/eCvgdL3ozb1PVLx9pBk4J1uB92m3ErZkUPHLYnWr4/YKXJ54v+Rp PhVrf4qdV3pWAckjefeXNFHRXTb8Lk3nJ2IrW08YcPViR2GcYJV3Jfy1JzTj DvRCMkO4i5OzBtF7NKpFWL1wCJyz7pOowcFX97F5vhdvXGg/S9Vq8En5/quD nH1QE//8OcCuBvKzX/88WdwHo0tHw8RTasDf/63854o+aEceeBeqUYvOINUI vx19cHJ8d/h9Vy3Mc9MP/gvpQxbVuLJmWx2+pTYcyVOgoWnnrdFHO+rwXZNh 36lEw9SnPAmL/XXY9YCPOb2GBh2fLU7lRAdUXS3hVt5AQ46oxlRBMNEBL7Ra DxjR8NlERj6NWQeF7/LflznT8PXdyPnQ0HrUS3h80oymocgjatnB3w24d91L rVeIjvT+kycdpxrQyF++hC1Cx9sTul+OcTTiyIM3e8Uk6PB3bbb3FGtE48bm v7qydOx0Fo64va0Rb8JuS7mr0FFz0F/qU2AjnmnZS5gZ0NGx87T4gnVNuDXE GS3nSUdV2dbjvDpNMNsncoN+lo48U/7MJYZN8H33sPPjeTqiTeKtpWyaEDvH ktK4SoezASVknW8TJAOcYyTv0MHUsRGxq2qCp/HpN+de0DGprCeUdLoZSYs+ f7MsokOfalT28EozYgeP6LCL6bgbtfPGidvN8G6uaXtfRoeEmPWw4otmdIv4 vGFV0qHNebImorgZDasKLM4303GlPfzJ/WUtkIs+Wto7SMf8kwkhlx8tSDE2 rv0kwoDJrtkyw4YWtPwbEuEWZyBwIcfNFd0tUFI0CreVZGC57+KRtokWSMq9 OT2+jAF9j5W1++RbQbl3yFZAiYEbJnuDcLkV2nRkfNFmgGvm49JlSqQuzW9Z JG7HwLIqo3FotEEhUo9r7CADWq9bG122tCGgxfBj5SEGjpstevlpdxtmO4X5 fI4wUP7CWcnoUhs2OvBxfHVl4ImutK57WRu2R3jo1lxgQPba3WPZ7u04HrA8 We8JA5v2LjftON+O9d33tX8FMWC5KkOF83o73sg8v+IcTOKrpPwxD24nOmd+ 3fUwBqiyele6ctuxk8vBLeIlAx++jQfyCHTgoW30Ydd4BrT/Hc2y+tSBT+wW b8tvDFjsLvDbntOBVaHrzofkMXDs5Yo9OkUd2Lybw7Qpn4EgnS6GTFMHvlBE r9kUMdB/5pA0ld2B+gdXNXXLGIjssbl2dncnxOatfkfWMpCmnrnT+UAnFhuW xuf/IuO9JiZu7dSJQPOthj11DExK1SfpXOyE8LtpwWWNZDz79nb/jexE937V ZZdbGeAsMjd69LsTRx4lrfhBYUBqaYLgjalOeNr8/PWDyoC6I1/7WY4umGbW uJT3MmA/W3beWqwLeq811PNpDGRs2B63bFsXrlS83h/Sz4BrLHgTArqwMfkv V9MIA9dGXzW8DOuCVL17Y8YoAyH4G/MougtnqrgCno4xSMn8uuVcehfoXFtj TCYYkBbTPbm5vQs3NQUuPWUxUHlHq7pUtRuRLT6MEjYDukI/uZ5u6gav8o/x 4L8MvH/hpHPIoBsh6q7+h/8xcPvT45hhm270drA3D3IwodvC9JK61Y0GHp8+ 5gIm3jvfiKcGdKNWV1HuDTcTEn/EOxKfdUO0ndppx8PEKKfxdsPEbgSVzw/n LSTPr42S9Gjuxo/Rr0dP85HnszZaaFG7kVG+o0qEn4k7BhU3//7uRnOrb0Em 4ZSEuQtmnD0o0VXeOrGYiYB8la5OiR44/WjwsxJkwqjfL2WhUQ8WdJx0eSnC xFX16oqTO3pgE99hIC1K3j8vTau16EFnpP/bUMJyf5OlXx7ogXtcNOu2GBMz Ip1+Gqd7yHrsFtkuwYSmnUpUqFcPMk4+VEkm7Bp1Pnvmcg8sM6ZLJCSZaFjN //u7Xw+o5w886yKcsk3Hxi6cvM9/JnCvNBOMW35nvkX14ILFk/Z3hOXKqh6s jO1B2qb41FnCgftc8n4n9SCk/OlYhAwT358lt+xL70GDjcVhBuHZ9tmxrJwe GOyrtly/jIkTrk9X3/reA5rfcMk3wtEfOwzp5T0IVT+7i0OWiaaR1Q67qnuw aaPPAQPCJj55QeKtPag/MMD1mbBPAd9H764ePLi25s0o4TQem5Lu3h6cWPCh bPVyJlYEDc58GCLz6SwRF0g4z+nGh7TxHgz8PLg3h7DjRtGDX6Z78Pnao3oK YTZ3PG8x0T0j216p88kxEdmkm1PJRUGGzhUndcJb31e7NS6iQHJu4al9hNuu Okt2CVAwf3mTpRdhqeUPLw1LUGC4R+ZFEuHsoeXK00QX+V2J5SwnbFuQ2sih QOrw9DnDHsJTT7f78ylTcCHptN0U4bBjrVoiaykYbPQ15V/BhNam030ymhR8 EH2wWJZww0LOUMVNFPB5XIxfS/h8S6ixmi7RRfoqMlsIiySojGuBgjTbu8dM CKf6fH2jZ0IBrf387d2E9+7eu9/UjALTAw1XrQmPyPVx7iE6KjD9oelBwk9G LqcesKLAZ9vV/kOE1YsWOx21o+Dzq1vODoSrQ6KXuh8m8TDupNoTPn18Y8E5 ZwoM/I812RIW0Ck74+1GQcd2du1ewh95D624fYoCWbv1r3cSNm8bqg44R0GS eZepPuH+j37XQy9RsFaAWrie8H1fCfUoHwr6BqRFFAmv3pPQGUd0V3aos44I 4VJ5/Uef/Clolwhf/4/Ml+vYr23ZD0l8nWEcA4R5io//zn9CQWqG9ts6wm/D Zl6Wh1IwXmIt+5mwidujXb9eUICIHyeiCPduVphrfUVBvpTngxuE/fgzE6ix FPy8K3P9CGGFjp32g+8pyLz3zlSPcEFSB99EEgUhsv1UKcJ/93K78xBdxt02 EPaD7J+oleFSgt8oeNdsnfiK8LaJteUSRSRekZ9h5wj7PLdarUJ0WRtTlbKU 8HTnG5p5D9F9VbnWm8j+fZ6sHWZFI+30R3+nyXnQvlVh4jBAwWbKzNVcwhdX jcWenqDA83FTnzbhMQ9D5yBeKi6tFPcXJ+fr6bZG4RdLqMheppxVRs6jpqB7 4WsRKj4abcy+TNgzNUg+XZaKAgc3lV9STAyyursaNan4UyNR6E7Oe5bbkyJz bSoeJGrt4yJ8s1n/Xf5WKjKXb9odTvKFRHbU6Q+mVLTkf7z3VZzkp0uH5q85 UCHn18WmkfyzhM7fM+pExf1+/z53wi02ud9d3agQHQjRGiT5y3OTdMBeLypm xEKF6MJMREw0Sa+6T4XCuu/xX4WYOO5ylx3+iIqN88a1awlrNmyiLAmhYnf6 +SPhJB+Wpoe+Z0VRUcrnleK+hORfr/06P9Op6FfLEPlD8unO0Sprr24q/FQu 3L5E8rOok+9mRh8VuiWLBr6Q/N1VqybrMEBFoopi6l+S3y+kBPRunyT9Y/uR a1wk/5wx85Je3ItF+eYadqQ+TP0pflKg3YurrZ+2Pp1moPDwhfObtvXC19fv UiKpN4FVigcSDHvRP5bDXzLFwMokP7lQi15owUlviNSn3acMktycewHL/m/y pJ69HfhSIfi4Fxe9k3N5SP3zfL5H0SOkF6E2XhZzDAZ0THp9SsJ78TzecucQ nYGKKP5112J7cTbE4FplHwOjew8+6c/pRcpx81L3HqKHsqesint7caX6mfvq ZgZ4XR4mrujvRfCWIIdxUr/rlsrx+Az14uvWrpSvDUTveGzPWj/TC/Z3BZ8d pN4HLg+VihbsA+XgJ3+9KgZab6/vvLqlD3Hl1wcSiJ54o1myqVG/D+4RTgkW hQyc6rR7rGnSh7emBYWDRH9w6NwEw7IPq+KtJhSIXlEeqH5t7dKHjNXGtp7Z DFzYe8pV40kfileNX7j7kQHB5fHDfX19yOacWpb8lAED29udvf19GOnSnpAk +snryZGf1KE+7B86e+L6YwaaOKXie6b78Mtsw0qTAAZe0e87dgjQwLY8XJ52 h+iNFI+qei0a1NLCd8heJvNtrP6x6A4NP8TbZJfZM3D9Gv+Lwgc0GMQultUm ejAlk3634DENrRbbYyxtGRBTiXbOC6dhzviD1pX9DHQILJXJTaThfG/HpSRz Mt6m0fupDTQ8+OeQEK1L5ss90zVmFR1/Qze2RkoxMGCQdH+xKh2Z7HNt2hIM 7JCKS7ikQUeh9+baKlGiR8tChyx06ThT9yB0TJCBq6suXJrZQ0f4b15HSR6i f7o33N3vQ0d1sm9H5QgdhjYpcdx1dEy4XHbsKqHjldr7sjNER9toTF8Q+070 84KY/rYOOhzFQ2x2FNCRk/ZkXSqDjqAi3TOxuXSoLz2TeZhNx1aVijatZDpk f64ryVIh6xTEgS/P6Zgy+Nh34gYDjj65srtc6fj6dvDlZTKPUzHlayyP0eHH q2Z19wHhZh59y6N0CNYmFsaGkH310fjSdns6lI98etVFdOqkXe28kCUdtr6p dtZEV74VkhMV20Tm4XN2JRSYkNn15kIVBx3ey6dvWyozEXsz7ownm6zDrc1b D69lwmpgIwRmaajc+fmD9yYmjj2ctdYfp6GvOfduphkT37wb1lyj0SA29c1g rRcTWzIEaA4/aLiwoThD4jupO4sNz8aRdXTVko95Ws7EngE9+8CHNNhpXwsQ qGbCxuGO8Zm7NGzV1XLmamXCbeN6vjXXaeAyeis0NETy3nKq2KnTNDzZd8ej RKYfK/byflu3i4aEsybyF7z6wXeAq+LhAhq6PxUH/FIYQKl4b/2kax9q/3D/ 3rB6AEtHBS50OPWhQG27RajaALZW+nrkOfQhJqFE4IDOANi9V8wv7O+D87vS Rx0WA6ilKbnF6/WBHlX+hHF5AK+/clxfLdqHP4GVIeyqAfwbnOo7m9uLOY+G l2u8B9EuUDQtM0OFtfbhp+o3BtFaY++sME7yFif97sY7g5j4HvNh5R8qHMNZ 5/QeD2JPtdQ3cQoVhSUyO/e9GUTB1Ar3b+VU3JN3mrhSMYjCA/Emgs9JHm76 Y1Eu8xvFbXE5TzSoOPX6klHVit+wYvhfZqhQUXzqn07dqt84ffuj85aVpK4s EFbsUP+N98mWcT/FqGjV1JoZNvoNM70f6h9mKIgO8I6TPPkbKXk9VUakzq01 XPTX9ctvsK2L/YuIrkhJ+Li6peA3XiiJV6WZUqAltnefWelvGEXrGr/Up2Ab I/zt2l+/wR+VHW6tToHlI9VdI/TfkIybGHFbQoFX6+7wqyJ/sGjodCRfBdFp 50I3BLr/gcsLv3fz23qw442CW6rkEFrWbC93XdoFrXBB5VLZIQgK3f1hwe6E /OO5vjaFIewLLA1UHOjE7NVGZ261IQyGZRbGfu9E0r4HjgcMhnBqz2/LMeJ7 RDlHbdgnhqCyKFjvT3MHuo8UmJjlDqGzY/jYiZB2VNokLXDMH4Krtcx0D/F5 ObsiiryKhxDg4ahu69GOYJ0LBpHVpP88dxFdw3ZsF1LZNkwdwvYOl+8Lhtvw Me/JxrDFwyhfeCwqc1cbwjOujX1YOoy0fyIBd3TacCfBPTVPfBjaPp+1XBXb 4PjMWIO5YhjUj/n7PeZaIezJUt2qNQxztccuOYmtuLz8yEqKwzAO8B72GJZo hfNeTdsOp2FM+lwav8fTCsvbnA+bXYex4tF1Q2fio5X7Y0erzg7jTFHBr991 LWjIYBbk3hkGD9c2maaQFhQwPk9kPhiGp4zf4uk7LfgoE6CS+pi0i9++efNS C/xurguKDx9GpM7U2Vb7Fnim//3+JmoYSm3cNhm7W3CQXsOKejMM8ZrEO/yG LdC08DoSmjgMuVvUfr01LZC9YRzyJHUY4dfPxSnJtWBRmljZwyzy/BwzIUq0 BWN9tFn/L8NwnhcT+cjXgi7JbPVbBcPIVAmq38/Rggrz+87XSobhPXat4AWr GZm+B59drhhGdtIC7zvDzYhJUa3wqhmG0JmUE5LMZgT2zrFPNwzj+Z/qdFtK M65IVK13bx2G5jnaZtP2Zhwze3XcpWsYq+bO3e5vbIbltTMvjvQOo0dGsMT4 VzN0kw2q7JnDuKkqV32gqhnKVGFO2z/DONelsUilohnC4r1a+8bI+ixTPZlV 1oz5HRknLFjDSB045cdd2gymt3/kjvlhPFs+7yha0owB27UnXnOMYEq04kVv cTOOjohyrVgwAvHR9fsukvamB/MvI3lGoMGZoFJO3t+lSNskwzuC7MUpZu3l zSj4WlXznH8Em00Gjif9bIa2bZa7+JIRiGWdzd1W04zE4VcLQoRGMJ2gJnav vhkrH9yLWioyAgp9U+ODlmaErzyr81hsBE2tS+cMu5oh+NXu12JJ8r0tSUqJ fc24Y2N48oH0CPyZnNHFg82YGVrDs0h2BMmfFY7dG2+G532R6DtyI5Df9VZl ZK4ZfQpzm7kURvBOGu6z3C2ota48xVYi7X6cpj1SLTAdyljoozKCnatCx1IV W/D1XlTMtOoIri6O3CWs0YL4XM+GcY0RMA5cknTZ0YLr8sLbBraQeNrpF0p9 WzDxeabRbdsITE833vcKbIGHFfUMTX8Er39khfi9bIHN3fTYHuMR5Djtqs3N bYHab5vFzbtHEBQYYsTLbkGOtUX+w72EO4skK4RaYfzN6Ly+1QjCi+ofNq1s hf1jjfY4uxEM91Bjv5i14oEm38cLx0bAze93cHNEK+gXvpqLXB2BdelM/gej NsSwVz7c/ZbE2y5SLR7dDlGhEd7i2RGc5n031WjYhbpvD++Zscl67F2kHGrd heBTSgtr/o0gzvnkjJFbF0Qq7Be0cY9Cvc3F1iuQsH8Je1hwFK4KO8okmrqw dC5ibJniKIzP5JWcc+2GAGN7x/ldo9hx+NfaPL0ecOe/TFaMHMX5LpuKy9uI T9hmsrP71SiW9D2wjyA+Lzn3d0/E61EENDJ4Mi0osM/SExGJH8Ux97pfdQ7E FyV1X+BIGwUrbLNO6jUKHCMVdTvLRqFzym2A4wsFOVc/Fj8bH8WAhs3X1Ruo OKn1pZVv1xhGhSIrLQR6UVDbmJizewyBXC5F4SK9ED89csNt7xh0pSZYXVK9 yI9TUi6xGUP9SuYWe6VeiEoGed08OoblOeu/COj34suMy2LWxTH8Nh967erZ i8X5gnp9MWMItg07KfqzFx/NnGPypsaQ41zu6nixD1pqCvqYGSM65JWRgHcf 8gR72vPnxrBB7IpS1nVSj+sPSxZyjMM3xErg770+TBw++Pg7/zhuSl1Lc4zo g77X3mvlcuNoXKAwfDyPPB+hb1dnOo5zXm8+RpP6ftCXPbnfbBymO02H6hfR QD3yNaR+1zgEBpcFcROdObFKt6Zh7ziGmozn7MVokE7eZNpsPw6D23/TO1bR 4PxdTavDcxxLDx4p3bSdhslBmaX0Z+NYVHPd3fI2DaFRjLLIF+MwObzE3eUe DRv3ZNywihzHg1Cfq5cCaDiXtnu44DWJ/7ld8+MQGv5cuVn9MnEc4cm11UGx NNB46IH7isbRkUDraC+ioXFFKt+3P+NgyrQpRf8leuiXb+H5kXF8m3s9t5WL DtHb5ldVx8dRqZazrpGHjn30Xubz6XHMT29PnhegoypRotxrwQT4kt2c5ZfR UbLl2l0V6QlslJ3a91Wb6DerHQtCTSaQzSU7a3WSjvu7cvxld0xA/dlPc3NP OhyM1/DGmU1g3lA/Tu8cHVwbFy/JspyA35iI77LLdFiK1Ei02E1g3bKn3el+ dDBrbVVlT0/ga9m/13Yv6JCxdN33NmwCYXqVO3yK6fizvbleLXwCQgJzbuJl dBTo7bTNjJjAls8nviT+oMN1neqh0ugJpHFkcdRX05EuMOTC/DCBmEeflP62 0GHx8+IVtbwJXKy3aqn5TceNnf7RGfQJBGcO+Z8QIf7H8YSDZv8ErkeNNkeL MbDq4i7pxMEJvPzpFNFA9HrFa+GQ2JEJrDTTu6C9jPiBuai7wbMTOH7jeli7 IgPvk7JOnxWcxNR4u22iFgO1IsytatqTeFw01nLamvi9NT+n4zdPIsDcd9Ca +ImL+JSpuHUSWYcTH2whfkPm1AWNZQaT+OcrdGruEAMuJRyK/OaTaPW07HI6 xsD0ZWl+5uFJVDTryOeeY0Ch07wl1n8Sqn/KlkcFMvCwaGuyzX3yfemUpoPE D43Fq91dFDAJ1ofbpaLELxV5CWqdDJrEQ3UtyxtEp7vw1j3Z8HISVy2cxTZF kPg3HtxRmDIJ5cIWNVmi25dKm8udT5/EtJBwRuJ74kf+6k6uyprERFnOdd0E Bsx/yMbe/zKJDg9zyu4kBgYde/7uKZ2Es23HsFU68VsP3bK62ieRKN79qzOP gWdn7B4FdZHxCEvQjQoY+Gdt5mJEmcSVRvbOOOIXa1esFXlHn0T+P3+2UzED 5zKHTp8encSLkO8bv/xgIKPnotL8wil4frl57E89A7o6d0KlN0zh45G9fDbE /zY5S2tHaU3B7r4LpxXxx+cff2qW15nCpBor1ZLJQCKtRUZl2xQ83C30McCA XOi619qmU+BS8BbiGSL+a7Qpycp+CrHiZ4cVJ4l/lD21p9lhCp1GkzFswlt3 co7aH5mC2vezwo3Ev1+IXqvl7DKFueEqTV/i9+m7b+ae9STtHo/Op80x8DNh TdkjPxJPtph9KicTJ5ryTgj7T6EpuUHZjYsJbi5r/rB7U1CsNMyRWcCE/sHr uyMDp2AaelnVh5uJlEX19QnPpjCrfclGYRETFhtPXFR/MQXl9T/2lhDud2RL pL2cghXHEVE3XiZWZq22/xwzhTVXgoZj+ZgIdbnWU5YwhVODQQILBJjQDBL2 25U0hdZof/MwwlVf3inWJE9BJ05pv9ISJhaK/nJtypjCjbjH+fqCTFwpVPrT lzcFt5EhmQNLmXCQq5nhrJ/C5tXspXJiTAhKe2V+aZxChofe9meEC0XFz11s mUKj1CLaYnEmlPkOMZmdU5B/c+nEMOHhcXpTDXMKN4/sv/dckok3Qw+CHwyS eNzPys8Rtu5XszQemoJTx43VDlJM5HR5lWSNT+Hp67CbEtJM+P34mx71dwp5 wQ6up2SY0Cp+feYAJwtiqyovfSHMyDNZK8zNgsSYPWvRMjJfGQ/f3OFjAbId Zi8I//20zlFfgAXNNXtkuwinfKiVnhZkYX0j9Yi8LBPi0RJPT4qxIBh7bGsU 4fIXny2UJFkYPlhR30zYO9SBt1uahcQ2ky6h5Ux0PXhzY/8KFnI/OppfIRx0 Z/tWgZUsnL11NvE9YeMbzKmSVSz4q/ncaiL8/oK65xZVFg4ft/VXlWPC/syv NeNqLJhdCM7YS3iJxwVaogYLIYdeHbjw3/2hi+Rr1w0sqCYleYYR9jqS6yC/ iQV52fGZdMKr7A9LtemwMHUtZqaGcJM1R0OILgv9JfTT/YTv74l9sluPBUOh KVuOFUxsNTfdtciAhVch7AwxwkMm/QsLjVjQS1l7X5lwDAKLvLezYEpLqt1E eL+uxnWtnSwIN6U8NiLMvaluy5A5C+5mR4ssCGdpXJyM381C/RrGyf/uh91V pVKd9rJQ538m4L/7YVmlL6eWWbGgFLRS4f/3wSscVRptWOCPUVn3H9+U4ex7 bMeC9/oPyf89v1H8bfTOQywcp1W8/68/utCOQ1yOLIzfSpf67z46nH9A4utR Fj6P3fv3XzzmPI/qLh5jYXTnqcPahNn/NB5ruLKQ8+X2htWEU2brzPpPkPG9 H7kuTth58iJP7EkWWE8bjDgJi41IFTp4stC5cu/1/+6Dywa+XJM4x8KTtbfX /yLsTXPcXHuehcexgQ6ZhNV6OCceXCLj//Dw3zPCXW1vk42vskD3i5C5RDio ccdJtg8LWlEtSfsJT1Y8op69xcKM4G49bsIdixtPzN8m+1Hjn3IH2Q9FFrLD 9+6S/Vip2ZH63/6pTph7FcBC8NjRD7aELwmN3VJ9zMKx5f6FSoQP793CmxXE Qu2iC3FjZD+q1pWJVYWxUGw9VetPeKmo0Eu7cLIfdBOkLAizrGwV+iJY0Ge6 qy0lXNzYt24umoX7L0xznpL979jKuWNNAgvcHxnO3uT8mMiYVWUksjAddlZA g/DaQ0FWBsksyOWc8KOQ8zfdIXf0QAYLRw0q60E4uGfrVf88FiQlTJZQyfm9 onD739JCEn+f+jJ/wkecK/wjv7Ow8NX3SSXCan12wenlLJRKzi91kmCilHHx I6WOhYc+f7u/kvyRqPJt/elGFna7B1tZEg5x586ZbmZhbCc1pFOUiaODwcVC nSy0V6d5T4owMTuU3KnHYIFjsrOHX5iJHg3WsR/9LHD2yeY+JPmq7Kz+gPVv Mp4VnEd5CYeOVU6dHCXxSL4RZpP8pjHVLxQxx8Im/+uLK0k+lNBZ/0zpLwvq 9avMdAnPX74im8oxTfbheqt3i5momFm4ppxnGgIP91Re5mfCha1oNCU0jWh1 y30cJP+Gczte2L9qGkNud1/Ek/z+95jkpl/K06Be71GZIvnf5Xvt5J4103h4 IviFEWFNP+PLu9VJe3uSXOM/Bsr/qXjv3DyNqlmvzJ55Bliz4zf0LabxafAb RzCpNw72SQbfLKdheogdkUfqUdFnV85t+6ZxjSIk3j/BwOMrrX5bbKdxZ1bn vc44A8pTef5aR6fxd1p7x5dhBmxHHwSoXpjGcPbCXQ6kHn7da2zx4RLp/8yh eldSL1emzAuoXJ1GcPuxLWdIPR3yPPNY6fo0FgSMRV3tY8D/t/VT+fvTcKt+ Xnyhh9RjxornEpHT+Bp/zZm7hQHRrsw3XMXT+Mz/MuReCYlHwNc3u3Qaj+28 SzeQes6/1cTu1A/yfUWnM+1FpN6G1y1pqp6G7xOxlUpED4ztG77yoXUam+8G cEXkEj1QorJn7/A04upuneBLZiAw6eVclMwMrqxVdZwPY4C3w7lp//IZbHnO m2QTysAdftXURfIz2G8c55oYzICPW47rOaUZLD5yVmr/EwY8FBp/mWjOYK3f ZY/r9xnYGSb4fnD7DNrWWbvaezPA43vLesu5GejaW16RdSDjG/09k39+Blt/ KUmY2BO95GoXbXppBgH7S1zdiV4r3qMxYOUzg4c5z+WSiL67s7Lzhqf/DHKt Z9uldjPAXb75Y+yLGWxjXFS+pUfGKzrCKVg0gxfrhEKeyjKQdu9QfGjxDFp/ +L/ylGHAeb7UYlnZDMI/zlqYSZH1pUU9V6mcwW7ehCCWKAN+ObvWGTfNIFji UqzOYgY4HePtrgzMYPSQw6XtM3RwfHBMporMotXvd0RIPR2lv5s9o8VnwXOl 4dlwLR2BmvvUHaRmQZUzydxJ9LFkjnFS4/JZLHi5w3asnA71MpWP5SqzuPje baliHtHvtLF3n/RnceexXeRMPB2fFe698vaYxbnNzj4XrtLhFZH8SKRoFqKL Xy93E6Ujez7iXlHxLDxWtn0XXUrHvOPdW15ls8iZO3P8G/ET9xQPX6yrnMVW l6KwRQvpiEzkPxzcPEt0Ac/9y9M0lOQdVxP5MwtLRb/Q4g4apHqX/RSWmsPr jBsDfMTffFt7n1fYcw4nT7uMDinRoN0gWRV8dg48Y8cPSqykIeVa/FOx83N4 dHJhla4cDW+qSmWkrsxhL4/yL28JGu6f4Vm3wm8OQ1PuK5sX0rA/3W/fumdz eDbn/+gfvQ8MXd8Is7w5HFlhsJo7rg/C5l5qfoLzEPrr6nNFsg8xhUKLdYXn IWUttfKcSB80tyT1j4rOw/2q45fjS/pgqcJ85yQ9jzap+wNGC/rwcKGjguGq eZTvvvSxcqgX3N/NJDh058Ete3rJspJeTG1V4Lh+nLSr3ed5RPytf3pe16YT 86Dcsrf9d6IXYmsdvv3xmMdZyQC908d6sVHmuffhs/P4qSNSuNWuF2enBSa3 +cxDYFHVptj/flfKmO6fC5pH7He5++GivehYV1t/9es8/FNVcjkyqIgeFPZd kD8PWqvmZ9NPVDh/sFJ+VDgP1bT44/ffU9G/qvlKTOk8Vl/qGvgbScXUsq7l ZbXzuG8YUZjtT4Uw/283Mdo8juz75WJjS0VD2TrhV4x5eMs1jFnvpSLc/0zu 6oF56OfyDO0xp+KQceqx1N/z2PXkvL2pCRVynOMCW4fnEfa8buNmfSqoeVpZ xaPzMEsvvqi0mYq4a5eOWE6Q/p5TlwluoOKEbg5vy9Q8etK+KIytpcJs515t w5l5pOb6LJFXpqLuOK1p8fw8TvyxdT28goq0877cF//OI+JYtomfNBWX1ucn /eVgw+eFfaSVKBVbhjkO3F/ABn8dh5b8EirmE404RBaysWLyjjhzIRWxMupK X3nZuK0dY3mIg4rbKqX7lRazcVSoKs59lgJT+qL5T0vY4FQ13qo4QQHfW7O4 zUvZWGk4w9nyh4JKpwDLIhE2nIOFJ+8xKLDqFHzdKMlGYV6mRWsbBUcbxE3n FdgIuCinblhIwargA8P+q9hIDu+ur86lgLHnRbjQajbOhn2+eCCDAs+fsoMr 1diQ8nOLPRhPgU+RYpCZNhtc+sGHFR5RoH/z+Jb6zWxMO632v3uXQv4fT3XY ysaGU5ue0m9QcP+z6qazBmxYv1Xjfu5FgcXlU10zRmxcvMfjxDhJwVjfgQVv t7Mx2PIpuMOFgrqxYc0lO9nYafLn6hVHCp6lrG97Zs6G+rdCsc8HKEhxvLQ0 34KNt6ZBr6b3UaDHm/brzh42dk1HHn1sTsH3FzH7rPeT/sLtgxcYUxAbv/nG N2s2uv5tlbq7jQLX494qOw6wMfnGdPTjJgpUFb/+qj3IxhLr63sr1Sn408P2 tndgw2hfri5jNQVVQ2HvvzuycW+X5X4bBQr+BzIohQM= "]], LineBox[CompressedData[" 1:eJwVkXlYzHkAxnO0MY8OZ9iZJDmSxzob0vZuj6PkjKRtZ1DaVErJI6FRSoNU W6JLyrnSk0KZ0YoOHUzHNGOu3/yGFmF10LA15fj+dvaP93n/ev94P5/pARFb fh9uYmLia8z/fdthQ6i3C4HlUiG3/KkOxdU76E5XgqKVA11ykQ77poY9jfUm CA5wlL2ZoEOf30OzRB+C75FHhkWa6iAQFnqZ+hFkVXh2JXXRiGHfqTvPI5i1 u7ukTkWjvSmqxmMnwcJIzuMXtTQk/BMLKX8C3pk+jv4WjeM2Aw9KAwmkhfbf ZNk0tE/Flf57CM7X+AmLEmh8KKTafw0lyG5OMVuzl0ay7Yp7TWEEZ/evLrDw pZEkWj/LN4LgWXhD3u2VNEpSiw1eUQSfZ4kdPznS+MRdsGLEQQKrQxeHeJNo 9La6lWQeIiieO7JfPIzGtbRyp5AjBM57I+NburQosG+4MRRLsDsugzEotTBI hddL4ghC2Xe0+motNh/1uLozgcBizyeO/KYWRbNYl8clEQhs12TkZGrhJ0jN j0kmoBZWRqiCtKiaey5z1XmC3kmL3K3GaDFBtS3DkG3kJ2vqnNJPoTmr6cfW PAJzxdecDh2FxnlUCv8igVLX2q9ppBDb62m9+BLBrb92vQgopRCdyDv1+ArB 14oPqTNzKEjn2wijrxv9aPPZl+IpzNF2JDoUEejPmjp/D6YQn3T5uK6YoC7A mufiRcH8kJmn/y2CtMitPxicKeQFh497W0aQYH5yUrY9hXEWFy563iXY2vP2 noslhfJ1y69+rCAo2Np/WGjQYJ4+aL63mMBDFLp68KUGLfNNlwxVEmy0pJeP kmjAcalbxaky/n2t70kXaWBR7IaV1QStMwI9m3M1iBrBTT1ZS3BCdTVl8IQG zL/528bUE3RPP9pZGa5BTJ7k78hGAh/3XdrT2zWYrAl+O/EpgeiBRNrpqkGG IGv/kWaC1XaVe2PnaLDGLLwCbQROgypOsIUGj0rycK2dgJWhPVpvUIO75Ylk 1DOCtpxuauRLNXroAvM2JQE/N0Sc3KhG4PGWnEUa4/7P9JepZWrooxb5i7VG fgdovku2GscCcxxcnhPkbhHMlhxTg+VD9DUdBD1N3QJukBrVHYolwlcEy7h6 39Hr1LBfLkmQdBr5zgk3L12iRn108KmId0Y/bqFO0VPV+JmdNV7xnqCz9kZL /nA1JObfaN8eAms725G73qvgw/hfe/6BYOVnqy5GqsLrvqawAD1B4OL3HrEi FXhZ/YbGzwRjK44e5hSoYGXb4pwyQODfN4xfdVyF0w1DDX2DBAfGu9VNDFFh knhn2sGvxj29yoFsVGFPPbsw9ztBkHhT0d1lKizIc5wWZ8IgoPGjJW+qClVn Mt6NGMEgKmxtYDujxFqBoeyUKYO33rp37DdKqPbxY8xHMehcxWW5SZRIHlz8 QM5iUC34GCssUeKjl8Noa3MG5Rc9bS3OKZH+R5NFlSUD/9nPMn0OKTF6aX+u 7TgGZV925C/iK/HoUbPuzQQGo7LW66tclbCbXDt3rjUD1grXTTdnKnFyvyhm 3xQGTi/jIvaPUWKze8PgVjYDpYatGN6jwJOeT4n3bRhc+a1xGkumwJQvZed0 tgz0Gdme9fcVeCV9NKFuBoPkusSHomwFbv3DuWCxnkE7SxqfUiZHW9GmkKiN DEbyuobXpMsRuKV3ZqkXA/7mFe6iIDl+MdvWLfBmwFOzHre6ycGuqrq9YTsD UfBPXWlsOQYj7aM5fgwchxW+MgzIMNauYNlYPoNjabu4NlIZSrWfTR7uZOBa lvnD/WIZzhaMl3/zZzCj4crjtjMy/AflK/DC "]], LineBox[{{1.9719594070500728`, 0.23465694592500785`}, { 1.9725428701911636`, 0.2322520054418687}, {1.9780342879896655`, 0.20814110195932387`}, {1.9787207152144783`, 0.2049125237079944}, { 1.9794414638005315`, 0.20146320688855976`}, {1.9800935696641035`, 0.19828737795494622`}, {1.9807799968889164`, 0.1948850798934927}, { 1.9814664241137292`, 0.19141874234069034`}, {1.982152851338542, 0.18788486475886104`}, {1.9835257057881674`, 0.18059854857633048`}, {1.9841778116517395`, 0.17702723311775814`}, {1.9848985602377929`, 0.172990187737927}, { 1.9855849874626057`, 0.16905176871825026`}, {1.9862027719649373`, 0.16542358936579063`}}], LineBox[{{1.8752313690556592`, 0.4753095383371921}, { 1.8758574006209332`, 0.4742527768124575}, {1.8765163812159587`, 0.4731362964068816}, {1.877175361810984, 0.47201556630058383`}, { 1.8778343424060093`, 0.4708905398806321}, {1.8784933230010348`, 0.4697612000580378}, {1.8798112841910855`, 0.46748943371741675`}, { 1.8804702647861107`, 0.4663469772516909}, {1.8811292453811361`, 0.46520009242511956`}, {1.8824472065711868`, 0.46289282500105566`}, {1.883106187166212, 0.46173241482749666`}, { 1.8837651677612375`, 0.46056743772767333`}, {1.8850831289512882`, 0.45822364446318875`}, {1.8857091605165621`, 0.45710380685052326`}, {1.8864010901413388`, 0.45586117899841017`}, {1.8870600707363643`, 0.45467284005221414`}, {1.8876861023016382`, 0.4535394916572849}}], LineBox[{{1.9636536376298386`, 0.26633787985253304`}, { 1.9643057434934106`, 0.2640026580369217}, {1.9649921707182232`, 0.26151928554495507`}, {1.965678597943036, 0.2590092800506333}, { 1.9663307038066082`, 0.2565994378075238}, {1.9670514523926617`, 0.2539062570130525}, {1.9677378796174745`, 0.2513115515729616}, { 1.9684586282035277`, 0.2485548578195671}, {1.9691107340670997`, 0.2460312741692633}, {1.969762839930672, 0.24347888353862157`}}], LineBox[{{1.988443956853951, 0.1515047234554082}, { 1.9890857663091506`, 0.14726804518225706`}, {1.9897035508114822`, 0.14306783225577033`}, {1.990389978036295, 0.13824699826000694`}, { 1.9910764052611079`, 0.13324716985524823`}, {1.9917628324859205`, 0.1280473681268971}, {1.9923806169882519`, 0.12317577590392016`}, { 1.9931356869355459`, 0.11694049530170245`}, {1.9937534714378775`, 0.11157519041485597`}, {1.9945085413851715`, 0.10463841540932989`}, {1.9951949686099844`, 0.0979003193138736}, { 1.9958127531123158`, 0.09140696436683436}}], LineBox[{{1.9993478533201015`, 0.03610891332168296}, { 1.9999999591836735`, 0.0002856604710383269}}]}, Annotation[#, "Charting`Private`Tag$7040#1"]& ]}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw12nk01N//B3BSEkWWhJQk2oRSKS1PRVSkFKH6qJAUWiytpE2hpEVSkSxF ZN8iIYkoayHMZph5t2BGYcY6v/v94/cP53Gc836/772v+7qv1z00nU/tOTpJ TEysivz43+8dR382lv06uqlW1fBKQOFKTDZVO81UNYPZuY15O/viYBgbFZ2j aovcVhO3a/tfo1t94dVzOk6YZfJpUbtMBixrW7NjVF2xg7V+KvUnCwvvzH0p 0jiO85LNA8FSuRjb4fL4iM5JSJq/Z0r158HeVfD+gaovMpfNzU3aW4gKU7WC j9FnMSW76XFWRxEMtDZmDmhcQHlyoLm5dTGk2Nfi9+lcRtS1h5a/JkpA179l GqZ6A9GltkmZnR8QEatSpn0gCC4OvO8vvcqxQy5lQ0n0Tex1zbrnN1iO/L6v q3kaIcj0G8z9N/wRd9MUFtvo3IXTj2rnK/RP2Do3MfHXsXDYrXrTU7qrEpcr n878YHsPKKFVJ5dWYtUa3TDHyPuonHTIdySqCi9m7boZqhqB2sjkv7GrqnGp 9nHFvqIIOGjtmmn+uBr7gliTtA48gofgWKeTsBrTB88EvouOhH1NWumy/Bqc /x5xvkfjCfTco+trNL/C5mH7CWud55hcurFh+cc66FpqvVareg7W2hZTMcV6 SEl4UtxjsXgVQV84cKQehwonskptXyCvsTrbcbwes5bc03OIjMPLtsuKhx41 4KpUzqIQ1UQs4GfuVMtuxFKL+8HZpxPBurF+yaLWRjQFnfrVUZWIwJ+0g/TR RiyU0E3VO/sS5QbqrJ1mTagcT9T73vQKDxWrw30amzD9X+RqjTuvsWKwv2AD 4xui6BdN8ybSoR1tce5RTTM2qzsmMuwyoGYoHH9BNeP3fqMpUmkZmP2k3D1g cgvm9VxwSVueiS1+siWpG1tw6vgabTFaJpp863T701qg4JqR/HJtNiKWHy1N utkKB8e4DH5/LmLpXUkO6m3gddhKx6vlIWzibOH4yjbcdJI6utc0DwcmzUu6 tb0NOS6n1PIj8nA16esKy7NtkD25MeiSUT4mdNwuRdW14dO1tv2SAQUI/OxS dP1iO1a+kZdUlyrCE+mNN3Q+dEBGdPWgxbxS3E9NbTqkyEDUcXsnXfNSpGgP H760kIGF33UPy58sxYOEU9dvrWZg0+tWl473pbDcm/vrjD0Dha8j8wr0ynDD 6krP/acM9O7tKbasK4NO1XknxXlM2CU//uIzoxx/z3s5O85gQdum7+fH2xUo OeL4bIWABbVAC+NjcRVYHr7gScEECzPTXtyWLqjALvkIXSPJToxI7dWzYVfg mI//Kq1ZnWgoK/BhrP2EwIVzEzNWduKiwdUJIecTYqhNz194dqJOTklJz6QK IoXVMkq0TpyrW4eogWp0h1cORaSwIauXx6mWqkEiNdZvmclGYpjBnVH1Grye 5Jk4kcdGo9WiNqetNSj7prXR/gMby74o+WhH1mDxyOvY5lY2mFW8V9lGXzD9 grGG9OQuWHx4KVt78SucOqbtd3fswuxceYa4eD08fUWZUcIuHLwzatutXA/p vwbvisa7EO/K+VKpW486rffhPyZ1Q3dWYeFth3qYZ3+PnzqjG1vOHn40K7Me ZQOWxYaa3VgTbf8qQr8Bf1WiJldu68YRp1f/JTMa4KTvrtod0Y18tunX+g1N UEzWMr6iyUHLtqv9YRZNMFJMaH+ozcFQeomy1Z4m+CUE8hOWcGB0ad2Rz8ea sLLt5LXCFRy8VdQfKnvQBMuhbceLNnNQaKY2P/tnE94ll4UoHeGg+BXfJyLi G7RCHqUbxnBAm673ZE/sN/jsiSv48YKDMW+Pkpkp33A93uTIxUQONoIrFVb6 DWuWdT/NSeWgpLUjJuj3N7Qca64aL+SgVKqq6qzJdyzoyxH728xB+YmYOY49 36G14p3+ERkucn55eDgNfUd7wlGWqywXie7G71zEmvGQN7/kqDwXQW6t+08q NaOu65nEodlcbHOWf3p9QzOqFSbX6GtxUe8YpJJ+pxmLfOzbdxhzQdvmNUti eQsCsp66erhxUVu1/qiUUQvyXwqGZh3nosRcOm/G5hY8URuqfu/BRaxZkq2K XQvs33MMp5zhwtmk8+HygBa8jEvU9rnExU8jOwWH2hYUrCvq+RLOxaDORrk0 r1asTTPV8s3nYhN7S1Xo+VaorEr7OvyWi5sx2wLdr7eiuNvZ0v8dF8pKtjyt J62ojLtQc66MizXiHvVPK1pRr+jWsa2Gi/MdUeHBc37groVNwl46F2PhA3Ku 1T9wrHbRLllxCmaWI1Wbv//AgJ/HIX0JCnckxa5oMH/ggeSc3TunUJgbIMNv H/gBP8Oib4HTKGw6saDBZn4blNl3TpTKUwg0230P59pIHByVfK1JYdJw6sw5 2u1gZg4sWwQKc2q3/IN+O+ytPy+qMqGwKq6t2XVdO9KZFqdct1A4un3qs/Sd 7Tg/M6QzciuFz0+ctbecbcfjG/dsOywphBurGh+vasdvyjuAbU8hWTZT/W5j O/xCd6+zd6RQxjYXZXe0ozjZZXP1fgp/Q30rxnjt8KcvW/PyPwr7Ouqt76l0 QBA/J3uDCwV1/5suBcc74CIG3i8vCqt3zzWn+XTAP6Tc0/AUBeuFuYvFL3cg 2VJ1zcXTZHxfO3t3POjA27nT3oi8KbDVN55nFHVg5MYmrd/nKLx+/+/OlOk0 eA/F6m28SmGN6HD+3nQa1tNmy3Tcp2C1s+za1rc0NF86qlL9gILLM41dRuU0 iNr3hOQ+pHDPiEGptdDwZtL5R9cfUfh16oAqe5wG/6acPZOeUIhm2fmf3knH 6qsjG67FUsjWy9vmbE/HyCfPM+YvyHz5K82yPUJH4T26pFQchUGVb2lGfnRs DB7dez2ejMdmN3Mimg7PA1/O7H9JQbx8x5awHjoqkiruhqZQUJmZIhs4RMe8 PK93C1Mp6DlN6zgtxoAMo2FrMfH+kSofWyUGrL2Y3l1vKOSu3PpyzgYGtLOy FylkUKi5knhmhjkD4Hxa/5iYVSexSbSLgQq9t6mqmRRmeJS3sF0YWNC0+bly FgW3BEil3GYgwVO8ip9Nwb//+fdnjxgo2bok53AOhYeYeBEWy8D6whXDtcRl HcXrzuSQ71HsuP8il0LLEnVJl/cMlE4Mdk3Jo9Bz7lKTbRUD9+5z7roTqyoZ e6ztYODsrBV92vkUDJyfGC3lkO8XToq/QmyeKZRQ5zFQduxR2g9ib6uCaNEk JuY7smuuFFD4emNVXeVSJnpMrJWz3lIwlvsy6f5qJjJVTlmMESc/OWJ0wISJ jZkKdmaFFK6n333Bs2PiZ6rb5C/E/LXazYWHmej9YP9yWhEFp4/vpt3wYCJ5 wkpzK7Hxj5/eKleZWBNQkpxNnOwcmMS+zcTta2dzuomVe2fR3kQy0bA25bHi Owo3zr2ZeS6OiSmTh2xB3C9uunXzGyYOZQ/+PkbsdKftgkwBE5wAM8cw4q/K p9ObPzAxVzYgNoPYOE6yK/YrEykX1r2vI05eFjP7RCsTfy0Us38TK+cbWq1i M/HNOyFAopi8z6TmykQPE5vdr2moEv+tOZz3WcDEzOnbHi8jzkwZ9d0uzsKV wtvdxsQUzzw8XZKFeVu7JS2I561+8FpxOgv2E9T4LmLbi/SP5+VZMMvSrbYj vl26mEFXZsE92cLdgbh8sq9wizoLnum17fbEwu2lCsmaLDDl9s63JdYPl14+ YxELomiPtTuJ3b7bWXjrsnArNWWBKXGMatyR1hUseKgkMFYTf3fqubTBiIXC 7ZSHNrFMolFk3AYWHAym1cgTb/l1LVNyCws9258KR8j4L+jV1XhYsBAXv0zA Is70UeU0WLEg3brz00di6q2raPUeFiYp33dOIJ43kaH6zJ6FGwuC6gKJ7UxH DcX+Y+GJXaGUI/GdYHPro84sGL4onqlPPKxAv6bvxcLfLSeCG8n6Gjgsjonw ZoEXZCCIIXaL8SkYPseCbNH4imPE3xdJ93y8xsLjDNY0PoknGS87ySXBLAy7 y73KIN6S/WL+3TAyf1PPTfckztxgZOcQxYKOhsaaDhKf1NVrp97HsHCJ7icM I55XVRuyIIE8X27l9Y3Ed2xcS3rSWMj5I8F/QOL9Y2TGD5scFiJPLG9cSzzS MfI3/y2xVPf5DrI/3N3uL7r6kYX89XPVZhPHptI2cz+T+TiXpZBJ9lsLf9FB yzry/AVD9VuJzS6V3JvVxoLc0azIY2S/atz7M/y6j4Wzd6osbpD9XnIk8HX2 Pxa+pOxTnE7sZKjo+E7IQn+Mo8x9kh+iW4zffp3UidJrBoEPSP5QmRt6lqfc ieKDezx80ikU9M3VEc7phO3irPDuNJLfy7KaxTQ70SjmSd9D/MilbZXCsk6I m7r/0yH5SiFl8b9V6MSF0KiJN68pZF0qjt9o1gnrukHnqcS7d+7eY769ExoP H/Q6JZPzhn8uy35vJx7njPpMSaIw3ajq1MVjnXB6mmBskEhhSsXRntLwTqx1 UnIYi6GQ+Gj42eeITiTrZfUvJjY7FmbZ+KQTdo9tU/dEU7gmnZfCTuiEvLFW QMxTChO7Jx+f8rYTNS8U7s18TOKdHs/ZwerE1XU75nqGU2Td1zzay+lEPHNl yIm75Dy5WmN28HcnbF5JyLmFUfBb+DfBa6ATprU0N9vbZH+e2Ox8T4qNBXuG NsjeovBHwGQ0G7Bh/mZUfyiAQv6x8PIda9gwPBTm/MafwpXWTa9K17Nx/tV6 nUOXyP4viPF6bc7G7DnzDhWdJ/F19sCY/0E2yn08Qi18KDwdaFFdGMzGipgc 1+Jj5Lx2vTkeFcbG4zP/fNa7kXj+vrpzxkM2xuUdZxS4UqjMiUgWxLBxr5NP SzhC8pX3HqMvOWwcGJzo2nuAwrb+WltvJhsnvrSum2FNQfFIwFqqm43wkN53 tlYUGA266gd/s1HXPvYhagcF38zbXVsH2WA9jnVQtiDxd2q7t6pMFzq32r8i 0Y6h3orwsjVd+HrC7yLbgKzH73c1sne7sPpplJjRTAonH+/SOvGwC1smHw9T kaVgZNZ16VNUF3y9pfOHZMj5FSO93D+hC0VZs9qTp5Lv3e0Y/uttF7wkxI53 T5D6q2Bob0VXFwQ2zkFve7hou76CfmFdNzQ8XFZ9/8RFvMGn1c2bujEUky+9 /SMXnnSHuwZm3fAtVLxUROoxMaMroKy7seC2ydKHpF7T+V0XZ+vaDS+VTZ/m ZHHhu9vTTT+8G6La6umhz7iQnZvE6+7uxq/5Vm40Ly5M9l2nd/3qhluZmJYK qSe9ww99Yfd1Y0l2Wf9udy5axFWSWMJuuKz4UlnozMVzbrATbToH99N9HN3t udDLPFH7bRUH/Wua/NeZcLHTVC+1/AaHrOPFxRlyXNw5nuf2YiEX5ZER9jNe cfDbJC1YZin57hGJWPN4DixUXqac1edi7mXNFP/nHEyqiuizInWw99l98sxI Di4s9D07vIs8x+OMdcAtDtyYK2/uIXVt/Lk3PfPdOdhsl/lychMXwy6TTeQX kf7BJLXbPZCC/PrLg3LRZJ5WVuQqf/yJ+otV670CusBMr7jdqPkbKzU/H/BY zsboie/Pllz8A8u/Lqkfu1iwXfPffb3APyh7rX5zPpOFN+Lcm4Y3/kAwL2lX YDsLTlGCMxvv/sFGC3bdlkYWPnxS22YT/wfhZyIPskvIuTH/yMD5mj+4xrLM C33KgmJLr9VntR7cdfo38HYvOYfizm6p1ejBfrvQTS67WKjwFBk1LezBb4mB CzMtSR6TkNei6fXASWwu5UPOkTaDVcO8LT348E9w5RA5h2JvX3w526MH/fGH OQ1yLCzbPHXC7V0POsaWdKY+J3VESuqiH2U9CKiL/bCKnPOrlHbbbK/swfcb +4WVYUxsoKISlzX24EGg7LupAUxYhy215HN7UJXy5PvYASa823ZGXVDoxdXd 01ZUzWGi8EzEyjvHe6FWOqfBPYH00x1rD46f7IXS1ScRptEMlJvRg0769mLb +fBlS0mdVTNbp213YC/2rtNQn3OLAdr7gsBZj3qxKLRK/q4HA2LSHV+fl/Ui rnCl3ec1DFjEax7Lmt2Htpi71tNa6VgVJatTqd6HraEhjxiNdMy/O9rdrtmH gIubZ5R9JXXphWbnybp9sDY2/JBUTkeaTYiTvUkfvk48eSSTQYeieL/duHsf TmasO6kfSoeYgK6kcLIP0xMYp2qD6Ojpqfmm49OHWU/OHjp/lY7KH4k2uwP6 YP+fxKrB83RcyHTYmXC/Dx4Py2i33elgHioz217UB4327DlrdtDx1S5Nwqm0 D2IrNH8kmdPx1vJpuXdFH6j+7gWLTOl4YORrEl3XhyelG25Zb6Bjq9ziDTx2 H8Ks8i5v1qdj5ZRZoxI/+8D9ZBQ/X5fUxaPiRSq9ffi2yj5qxhI6hNwOoy2C PvhsnKUur0VHakm44SMZHpZtSrMvnU1HVK7/39czefh9cgE1YxYdN1KOZ5XM 4uGb6tSgEwp0OEWa6v/UILb3nmo9gw75k4Kl61fx8CfVjlEiQceES/evXet4 CFz54cllcTp+OzYmu27iwdQgMdJKREPF1lSdu9t4COtJ8lAcpeHc3EMLOg/y cGgkWG3nPxqcdxvsox3hYTur8FhwPw3W18VDW914WDo5614jjwadXwn9tad5 +OipdSushwYFdT/taj8eRIOsg2J/aBi3NnesuMhD1exf867+ouF77s+yohs8 9J5hnn3DpaGMKhzICyHff31Y0Z5DQ6ra7cVZd3mgvc1Lleum4dqV5feSonjw 9PndmtJJw8mciY/xMTxUMP28w1g0OHLrBTHxPNxUq1a8zKTBwMr7UMQbHlT+ HfMLodOgHmj6MDyLh9mHUo0TaTRMzVaqCs3nIU711czaDhr+dnNGgt7xMDH3 0rAEMWN2gd7VMh72lS4RbGunoWZHsLP/Jx52x4TJRLfRkBfgGHmuhrzvidPa 8R80vMhcWuNdz0NtrUGgJ/GdrtFxr+9kfq77dv5qpeG8cu2K42085Cw5e9iP 2GX786OuDB60bZzGZYmt/U89OdTFw7b4FYX5pG8zzjCp3f+TB722hghPYh22 vPi+Xh4MyoT3DIjlZ3WtsvnLQ+GyLemTiMcsct2tBDxwhjR72c00/LwYFG0x xkOH2K+djcS/9y1zjxPjQ2lZRUMt8WG+4iQNCT6sHYr9fhC3hIw9i57Ch6Nn /oZ+Ykstzmo1KT7eW/loq5DnlxXX1j+W5pP+PFx/J/GaffnHZ83gY7Na0P57 /+szec8lHsrx4f8n6WUn8YKQWzEzFfiQd1gyczMZX9SC00Z3lfgQeSs/SSeW LXZolJnNh/tRBywl83XDbrNHiCofmb654rnEw31LpkxV5yN82leGJZnvk8EK sTfm8fG9QL25n7hbc3TtJE0++szFul6S9Wmw/eo5rs0H6/CqTWvJ+pr35Upe WszHzuagW8pk/YtvxbwQLuXjqJInaxKDhqSik9//6fMBiTMFU0j8qNvanzyz ko+CAR8DdRJfD3ohxVvFh5XN93QTNg2X58tv+L2Oj2EffkYOiceBwuHmYxv4 2J7gpzuJxO+JvexTnE182Bj+iXOiaLC7mZPAMuUjgFZwfPNvGnR77GRad/JR ilcS6Xwa3tpalYbu5kP/ebb9g780mL7f4rNpLx/n7skIbw7QsP+ufsdLBz74 46sk44Q0hBhMS/V14eN3g1TKY7J/lZ6InBa78WFn4pEzTvb3C/EhBZo7Hw7X fZt9JEl+amJfND3JB/Vjhfk9GTq4vsU7FC7woVu6TSJEmQ5vevbEp0t8bLRX GTupSsf41tfZFy7zERRuX+eqTp4/O1Kt8zofbWn6tMAFdJgWnvqdcZePlYPd z71JPnsxviB0ZyIfEjpJm7ZY0aHrprpJPImPtWI2BzR301FQJ/c39zWZ37qB LDlbOupixxzVM/i4Jgxnqh4k79vcsuRPIR/TPGYNsD3p2H8zpDq4no+De2o3 b7xPvrcvMGBDEx/CBydspSPpOGN/dgX/Ox+e73t/cJ7SEbzY5Yl9Ox9yvkFi nxPpyK/ZcFyHw0fXKTcTo0JyHsjxpSpG+Ijd5l2Z201H0/vQW9vH+egvrM4T +03ytae2ZL2Ij9W3xjwdeHQo1OyXaJ/cj59UkGjpCHHQp3GebD9ix4y2HZjJ wMzRp3/naPUjwz6okLaJgenUVpqPZT+a08Nuiycy8PURa//wzn74xbRIvElh 4I7ZpbbLu/uhmW5y7XAWAzLxmS0hdv04V1ZiS5UwIP3fnMbYQ/1QWGeWeKKd Aalv/E9ffPqxeXLiEWNFJiaXPsvQiu6HLc09Lpz08e0bzLYxn/fjaZbXjskR TGQU9bCexvVDyqzN5Vo0E/vzNyooJPVj0b51EU/TmMhKY/qKZfejMac+dm0D E07RWsb0qn4UyX+5cEeGhbcXUisi//XDSXx4oYcd6XNXvWubZvkXIU4Gro1/ WUjd7vyiZOgv8hd71+7awMbgH7WZ3Mh/CL/AGbE/1YW8vRYSEWYDMN3x8cKK hG4EW74NUrcYQEXT8iluSd04aLpE6uX2AfBKR1dEpXZjkqHMjHzrAfwn9/Ho YE43rBXqlX84DODCN6f+BxXd+Nmwb6m61wAeHbl5y4HTDTVrN5vERwPYU91p P7GQg8BtQbG53AG8fXbqnWU0B01O7gcNfg3g4vbYl5WxHCz0s1R982cA5TPT fmxK4KAmTv5hAn8AnyQZSotSOFAajbn5YGQAX57VVrYUcJCclu91WnYQDtJL FmU3cdCg8HO97ppBBD+cZrVHkosFS74Ik9YOwumxjrvvNC78kJ6ntX4QNTqC jIfTuVDz9NWfYzKIhD39pdUKXLh+EtOS3jEIlYdv6hQ1uBCeU5X++d8gWo6a qWsYcaFJ3/EjIWgQgl9vCmSPchFavj7DLngQZk/+BMqTevtvku7NqbcHEWPW ypxJ6vFyb9lVHvcG0Zkw5Pq/+11Xqabwlc8GsehUy/lP/lwkGzpafMgcxL/B FL+4h6QeDz2Wz+gYhFjnWEtlCReRpxzC7jEGcc1wneDABy5Etttdt3QOQm/6 wKte0k80aCxTeMUdxLBWZK5kNRdn8vq8vPoHsfkRdVPuGxe5LD/tMckhGLXq TfLncmFsdCNCdeUQju0telwmTfpzZ9U1MauGoGukSi+fTsHnbnrrfKMhpDxw 1S4n/dAbzg+1xRuG8HrHntICBQrzIpbHrTEfgubsGvVANQqT+lvS9u4fwmpH hcTLSyjSty+pCrs2hK7Qj1ZbtlJwbylxlw8awkB8iSXHnMLkSbbSj24NgTnD yjZoG4VNjpd3Rt8ZwgebldeLLSlkTv32LSVyCO+n/Dw0dQ+FCFd/VlXKEFTm 7bCTc6JwcF79sPg38veto3a/Sf8pq+qd9655CIVBClt3+FH4oDjrjN+PIezN eVTx6iwFnWkHfv6kD6G4P/Gs3QUKvH/clvqfQ+iM8sgJuUz67+qJnJiJIRhU Xx/cGUxhVUXcKXtxAT6rP9Y8F0I6yBKzZfKTBQhzdOdEh1Kwyg2NvzFNgGO9 i9cw7lCYFat830NJgC3aftPW3qeQ7Kt3ct1SAZ6Y/WBve0Jh/6nGJf90BZCR N65YT/r7GSd8OW/0BVgvlN267BkF70NFB+evFiCqfOoisRgK63eYW041EYD+ YvDC1RcU+sx+SX7YIsAfiwxXxzgKL3Cn/OJWAR5If/m7PJ7M5+qmdX07BHA/ u2D0awKFOg2nxc12AgQdWVTDJh3wFTXx7rsOAgTnVtFjkygYzkqM3XZAgP47 JVGOyRSipH8rFx8W4MZ/KZIfX1NwHvSbkuAhgDJvT4PXGwpKfJUPB08KoNUc qDszjULV73f+ymcEOOEkMMwg1mWJD4ScFaByYal5VzqFwZow9umrAjB/ng/R yqJAk2l2H7suwKFJ607EE5dbqfNu3RSAsYXhNi+bwr26lNHntwV4X3gqb0YO haVNVUq1jwT4MvdLdnUuhZmKcs8cogSYTTUGrMijINi7T7P7KRnPyM9jkcQV zd3LR2MFELi1P7XPp+DUJm6xJIWs166ymwUFFMzUttfmvhHAM9rETuothWUH 7u01yRBgymf+1n3EQtq8w/a5Aog7e5K+ngJjrhuXnS/AKunxn3qFFD45pXme LBTgufg2tzPED1jrLwSVCFB+J6K2l/i85nXRzA8C0sM7vl1UROGQc01Q9EcB 5IucPjsRmyfIT19cKcCHvCkTD4h1ux0e5HwW4BIr3bGCWEH7hQq+CGB9t6jj L/HwUep5Ta0AjlXBN+a9o1BJ+aV2Ngmw8dwfSy/iN4vfr/BqFuCe3yaPe8QP j09+K2wVADKN2ZnEF1MsN91oJ+PJENf6333u4T8PKuToAoxf0yv+SWyu277j GVMAt715l8WKKSz30mzUYQsw/dG/E7OIldLd7bO7yXy6mF9dRDzSl0HfSJHx XJMuX0PM0he4VP8SIN8uevn/7lerTm/6bdtD1venfYUVcXpW0GlWnwA7OVE3 9xJH/P065NEvwJyoIt//3d9eMlQKEPwTIODP7PD/3e86+x6QuD4kQPsxmZZ9 xNvy4kNkhwWYtpK3fc//7neHfsk9HRWgb9rcPzuIlY1WRGpPCLBye1+hCfHY ufPqWWJCCDrf5RsSd70tjd8gIcTd/xidWsQ1w5JLPk8RYlFH2vr/3e9mGltn 7JUS4o7stYpRMh+PLz1azZQWgr4p27+L+HIx7d2JGUJYbX3k+pnYdVxry5Cc EI23r/qnEO/Y5PH5qoIQ4tNrK0KIVwRmW8+YJUTKztqNbsQqZcPfo2YLUXa0 lfrfffyE2OYDC9WEEA3gozJx9+bgzgx1Iap1DjT8Juv95Vr9sfUaQtAy/OWK iaMmO/nuWSjEyy0a2vuIJ1xmr27UEaI3UDB7PrHrx4bBXUuE2IB+R4rEn8E1 03M79YQocr701Ys4snPM6KuBEO3ZCeO6xGMm+cIdhkJ82D838H/x/Vm0+OK2 tUIcO63vu59Y7xDbuMpYiKNyB3/KEkeUPBvdulGIaLdJ6WVk/xwOkA0w3SIE x4Gpp04sGPkXuMmKfE9ErmwO2X8H96eZvLcWYubjO8p7iMsL3cQ32Aix9PVs 7z6yf++eb7u2bp8QErL7tTWIdYZKglYdFmLObOH1w2T/37E7b57jLIS9+3eD 3yQ//M1dMXXlUSFyN/gbniEu8UkM1j8hxP5zBuvPZVLY1x9ye6mvEN+C1A64 kHxTvNvU6vVZIQalzd+3kny0IHNs+uILQrimrTy3nbjv5Km72peFMLTDv4Uk nwX12N6fHyyEe98jhWKS73IpjcfK0UIkGVRoeCRSULNos3/0XIjLM3+r5JF8 euXVAxWlOCHGV1h5jZF8a3V0ylP5V0I8C7q7+DrJx93s39HTM4Xo+ezed/o5 BUVGXvykCjIftzeyah+T8U8PCCioFOKz866b7ZEUpNebOXhWk/c/9FfsfkTO z6imGS11Qpw9+q+r9yEZvw3v/Os2ISqZL51p4RQaPi3etZtH5u/29YmFt8j7 B3hLpvwl6zdDTFfsJlnPBQWTiwaEMJbYbfrjBoXSwK1FWiNCSGsN6gdeI/tx nbO2YPIwuKOcyckBZL7Tno3GqA1j3eGL+UfJ+SlFc27ZM3cYza/Mw+W8KdyQ Xpo1df4w7ig+3pt/muzXY2/dzmgP41SUdOyIF4UTms2NZgbDcNn8a4uTO9mv j2ST/2wdhlq94ef7BylMCbhqu+7MMJQct7S93kLmt79nuNRnGLnh01JlN5P4 dXOINT87jPG8kdrTIPl7l/7vvZeGIbtOZeryDeT9C+iBJ4OGIeFtZBa0mpxv n9emJjwZxiAzqCV3EZkvRb64bPkwdI0PhMqR+iX71oGkiIph+A2aWs+TIvlk rNJqTtUw6JftDi2VJPHIiXm8+Osw5jvouhtPIuf9W8vlpi3DcKeNyRqPcCHu lORw/vcwDo3OuVLwiwux104ZbIURHF9SvOx1JReVPa0nY2eN4Eun6gKDCi7u GNjoHVQZQc50664cUo/Nfmua1jx3BKtnBFRkFZP6rWpx6ufFIzB+7zF4M5uL g5y/r9I3jSDF3ScpMoaLQs1bzy+eGIFusGa0BakHLx8VczLyGkGcssqA20ku zF5fmDtwagT5l0OnXCf1Y4OBZ7SX3wg+vjDak0XqzZ+weXr4ygig8zCQ68iF stOcSPPIEVR0h4Vmb+bC+2lGmEL5CMzHfv37IstFwdjTW+UVI5h8+oLXPRku xpxuXvWuGsFf+32vbKS4uKX1n1/T1xFcH3PfUyPORfQb6f8etI7g7uCtixED HHwqOaqr0DuCNX1/jG63caDSNeeLvMooDm4qsRt9wcH7ZcFS8idHoaNkYvJS m4M132fXPjg9iv0z15i2anKQ6Z90X8lnFAbMcT3JeRzE11aqqZwfxcYK3rv9 yhwEn5qyXOPaKIo/bb/FkORgT841m+WRo7Dc3FK0i+oGZRzwdHvJKF7MlvxQ 97Ib8ju8da/JjsFDbu9sSqUbLz7IyRjLj8HQipfQpdgNg3Vpv/oVx0Cr01Si yZL+ZPHPV0dUx2CmWB9RNrkboZJOmpsXjuF54ruv9vwuTP64XVnMeAxh7MqM 4souDK3XFLt8dAxbt/fWWZ7uAm15w7cLxWPQOByV9imPjdg/8gESpWPw2p4u JpPJhvPrvTphH8ZwOUZeZJnCxq+FredfVI6h4/IiXtlzNobmMOZWNYxh4fHU VWdvsSEv3XNMiTOGOUe8RqUd2DDnTh1LnzEOi9dZnLLBTmQ+x8Jup3F4eDbJ Oy7oxL+L/6YeOTKOJWtUC0LmdGKNfdIfuss4cj69k8pT6sQ7ObmcVvdxxAWX R41KdqLyCmPzF+9xNBy1LrH4w0KHc8Ch7JvjOHs2NLAlmwXJRe+eXkkfxys1 7wMxG1nYLnHq8njmOJgx38OU17Bwh7nA+WLOOMyXnw4J0WNBPip0ie/bcbiN fSg6qMGC+rT9b4+Vj8N33sdZBWIsrPwjbLZuGUdE+oLCYzeY+C9jjfzciXEc l4KF4hUG8vcLZRvEJlA5/K+U68WArGTR9OsSE6Q/n5eYfICBsoMbpX5JTaBX Ss9QsIaBBdJmolzFCSywUfv3rocOrqtNr9WSCexNdX1XaUvHSTXPan/bCUiK LZhBn0VD5aflVfr2EwhdHSqzTpwGjTO8CrbjBPIkb8Zd7ulAQ5V32bZDE1BY WFz/qbwDK/0uFCidmMCod0fyppMdENTffPkmcAJvPprPTi1rx5WguKu0lAnM yLocUWbThhnnpu44kjaBE44bjp5f34an7l4K3IwJbFq+OXuWdhtyLNcl8HIn EKK/L1kk+AGufGPFpNIJtLyvkwmJ/gHL52JSS75NwHCVq8pyViuUCw7d9Rud ALWi4tC6XS1ISP60b2R8AmIPDPuGV7XA4OkyjUAxEX6IuuoeqrVge4AgI3iK CMruZf/ZcJrhbxre+ExOhAPHlb90nW8Gu75EqVxLhPehG/PaHn9H2s+5z2St RKi5d+Ld84wmBMcEHWZYiyDtKt964HYTXPf0aqfbiBDqtCup0q0J6sXFmTvt Rfj6MyE5Rr0JoeEHKu84i/CWZfmf8o1GuK950i99QQSW432RpEkDzP6IFbRf EuGh3tUH12c1QOOFu3/KZRHsLj+lT26uR8u0tVN33BAh8bvD817temylt6iH hIsgI7Hx5tmiWiy4obRt6isR1mo4PTiSWIOJtf4zWpPJ+5V3a0Qa16Ctt6vp VaoIq0NkXMfqqnHPPuc/8ywRaKtbX4v9/QzR0j0+QcUiaD04098xtwrtzMK1 dqUipBTHST2Lr0R+hObEwnIRnKSU+bcXVuLkBD+4okoE9R8WjHUan0BrDH8u 8U0ENUP+m8Kf5Xh7U+DyrVmEBc/2BU7fXY6I9YeWJPwQQbPT6rBS9gdYvtTL 3cIQIWDanbAOlzLo7I+8oNApQmz09jxd11JMkpvYxO4SIWs4vaKB9x5F52ur r/4SYb7subePqosQuXx1uE2PCMvmJd8RyRXiDDvaVpMnQrx/hr7p6gJYPZ6s 1t9P/i4s25VpkIfFVp7MsgERGuIbcvoHsjFZ/HviPYEIB8/RciI9MsHKW3/i 8IgI664MniprTEHxiQR9g3ERQnyDmZWCeDzWkBkUiUT4//8v/j/Bfe3c "]]}, Annotation[#, "Charting`Private`Tag$7109#1"]& ]}, {}}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->NCache[ Rational[1, 3], 0.3333333333333333], Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*SubscriptBox[\\(E\\), \\(c\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.2, FormBox[ TagBox[ InterpretationBox["\"0.2\"", 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.4, FormBox[ TagBox[ InterpretationBox["\"0.4\"", 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.6, FormBox[ TagBox[ InterpretationBox["\"0.6\"", 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, ImageSize->{730.521875, Automatic}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {0., 0.753828232188389}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 0.0002856604710383269}, { 0.0005827660898796174, 0.03413477296282887}, { 0.0012575006171516125`, 0.0501333335824916}, { 0.0018402258907046993`, 0.060637237579376016`}, { 0.002422951164257786, 0.06956749709834613}, { 0.0030976856915297816`, 0.0786447813579917}, { 0.003680410965082868, 0.08570909334516502}, {0.004263136238635955, 0.09222952761539074}, {0.004842794537065078, 0.09828317268127487}}], Line[CompressedData[" 1:eJwdmXc81e8bxhGFRPZIIpEkVKIUl5UiaRhJUiSiUmmThtKiklESUZIS2SOV lZWs7M05nIGyOdap3/P9/eX19nw+z+d+1n1f13MUnM/sP87FwcGhsoCD47+/ 62P2sKVErqG7maPmdf83KC3fqf7r7nW4KI03ymnmI7enruq79U20uQe1fpQv wNm9LuYOz27hlSAtMP1LAVyNvcRin/sh4pr7cObGQnRq3DN+JH0HzlPvDFIo hQiNlipQOuSPPzVyjnGniyCjyVf7IfAuuk80nysaKkJgpOT05uF7WDHCGWZ+ 8zvoVaffLNB8gIYfvffMOIpxytEx7Z7TQ+wvnvuofrkYK6uH1eVjA5AgvcDw 2GgxrtxA3ZPiQLxyVtMbdyiB3K7J049tH+NdWYtaxVAJti9/+7bf7QlUnzp1 5u0pxfXSiKWF1kE42/3KLT6/FAev91o+mgwCu5Phd2hdGbS01R4dfPYU8m+D uqfDy9At2OAovDoY/fXa8wrTZeAyfzdtWBqM1Ij7CYuPlONwle318psh8Fil kHe8sRwx4nvuPpQORYzc8K0orR/wqXpebJsbCnbbfLTx8x+w9e/hUjwUBs1P awcPTf/Aer01hsNzYVBtOnVp+kAFBCbP3fgS+QyqiuuMVLIqwEjM/XZP7zkG V687NivyE0UuC+atup7DsXK5ua/nT+g58juxHMMhscTgyI+snzBQvLts8eYX eLfGKmyhRiWsAjuzcgpe4GdOm3Ds1UqomyhP3nGKwODr6ZIjtZXgm/fcuI/r Jd5n2DnyKFehLz373PLYl0D8zJco7yrkn+RI6TeOxFzk8Mf11VWIUDQbyuyL xIbppgs/5Ktxqf2pmp9/FIy6tWRPe1VjX0ibh6XyK0hGyTqt+l4NtV2KH2TK XqG1p2xiUqQGZ0OWpXYciUZyoYjQ/OEa6IdxfXLkjcG7DQa76ek1OPL5b2q+ dQwsWzL0drNrIL4mSN3u2Wt4BGZwHgirxS3e9NUPpN/ismnItyVpv7CVtb/T 9tRbuEZkFho2/sLjkhPPzFvf4pZhYrTsgjr4FO8251kRhyV9dENN+TqIWnnY PvQm3D2YxWdah0pDfgG7qjjYKg5Fz7nVwaVWWapT5R2cDnDuX/eoDnL5pVUJ Pu9gLRAsEfCpDpm7e1s1mt/B0Pmgr2x9Hc5su/2EvSYe4ituTw6O10HKx2lE +VY8mrdvFNWQqAdV+vtseE08+BTl3cq16pFcn3/xk+p72H13FOKzq4fruYq7 2gHvcXfbJksx33p8KJFaoUJ9j1D2p0drX9XjWEZOw6TWB6zxkuU6/60eAuPP Nq0I/IDtJhYmCl31CO/0Ns78+wlebp6hzhWNMJQ9+LbLJhnPN5gdPsVoxIC9 Dg9vUjJu+lUI7eBuQpxZc27jv2Ssqvzp6b+iCeJi0lvaNVKQ/2ejRad+E7wW 94saHUyBS/I+xe8Hm1CqalfcdCcFvY3OysyLTZAxL7twMiUFfV6bTShPm3DG XVuJoyMFfw9X2CQnNaH4flxj6KJUFAopde7/0QT2irGF6VtS8cL59RyD2YRT Zbe18xxTsU9p0XtZjmZkCwZ/vRmYCs/nG96+km2G2ELn54zMVBzlldxsrN2M AxeFxptpqRA5fii9zKoZeSYG00uXpKH6okFdxclm8AVaXq/XTUOD2LRS/L1m uN6WO6jrkgbzSMXm7JhmfHnziK/mSRoCLWUSJ3ObsdIrT5A3Ow3yN65Vnq9r hgvlpMc0PQ25AzEznMPNGFoqL+3Nk46tNpd4JDlbICBv/lNBPx2c+Cfuu7IF R/HZJ8s9HVpc+214trUg01FFbVdYOq5qCrz3sGmBqO30wrS8dGhyX5z0ON0C /mObpSmMdMiyuCzV/FvwoU9MVEcmA7epbWsE3rRgYUffnyjjDKy/45uQ8LkF dgdfJ4+MZmDFVR6O9mWtGG635n8jk4mtyZNmvhtacdeR97iVcSYamkb8uc1a kX7sjExWaCYOmZRqFV1shTl95UW3b5nY5vQibCagFT0nmmqk6JmoakhOkXjT isuDD1QrBLNguieFLZ3TCkFPPX8fnSwc5VuSsqC6FXEjI91qR7Nw5fAazYbe VgQWqKdzPs3Ce473R3vYraifPBD2JDULDkUePWuE2uBxZfGIQVsW1i6u+5m8 qg2cc3nmY1zZCGvgNlqu24ZwX6+42LXZqHBtjPPa0wZ1DmUOG+tsRC3rGEl2 acO54axrbO9szFRLvCm70oaU8OSQgvhsnH0cVjLypA1j9wyWuldno3Rf/EBb bBse8E94yLCy8fKEbXpuThvkH8WX/FyRgyCJ04W3q9pw7NpmowumOUgck4tf R2lDTULt08VncrDpwdvgb5NtcJn/l8cVmYNXVqotHgLtqFUNF4wozsHtwkHz Svl2iMqsCTAazMHqLYf+yWu1w5Yvd9Gg8GfMKfdIOe9oR2hamtwn/c9Iz5yw DzvcjubXxi9tj3/GWz/x5MSz7Shlp26ZevAZLsfuW6T6tYM7PmHv56zPuBnY RokOb8eGROGFsry5uGlFH0BBOxb/u+WwQy4fz7sKS8aEu/DxYWv2OpN8yIYk HtVY2QXh9ISFS8/mIzPwq8CgVhdS9bmcp8Ly8deAmsW3vQv6H5qPtX8j7cli tWM2Xfj84VlmtnoBFok4nON40YU/Vr+/7qouQNiW6DAH2W7YvH/+8/ySIui/ fF14QKAHSvuGmN8DinG5JvBW72QPXvItMN4fUwyGsOfMQnYPlibFBPBnF+Ng ZtWSPm4KZnmt1PdRixF00UL1pygFI9qJNyZYxXAwyt2waRkFLm1m5YmCJWjN jPFkraSgLdhx5VbFEnQ7qD6cWkNBbUH2+a7NJehI92jbvZ6CkqGlJbcsS7DB bNv4q80U5C4a597jWgL/gcLdbw0oSDH/7lZ+tQQtjyry1XdQsGroaMrNIFLX szSkKiwpiHh3kV8orgRKEoHq72woCGqoPpSWWwKt4mdVLQ4U+HOpJNnUluDm 15tOPC4UzMSVTC5hlGDNQzW3eycpOOPYtidyrgTWh2xTLLxI/IEbX0O4FOAI O+Z2lQL73MAxqnIpxLm/6V27ScEeJs347jbCBykaAfcoMJFA2Jr9paB+e60X +pgCXZNweqVbKRQSLj96Hkbin080OHStFP33lN9tjaRgZUD9Zb2wUuw6OVOq /5YC6erYtqz3pWipl0q6nkCB4Pz8Wvu8Ulx8v5XpkUoBt6qtL7uefM9N7Ny+ HBL/geTqmP5SLLtVarohn4Ihf155k3+lMG977r+klMSvv9y7TrQM/R1JXwIq KbA78O9z9NoyPPd9q8rfQEG1kJiYukEZviYP+Pq2UXC5egvCJ37gGTXN4dd7 KgTVM2k/eCvgdL3ozb1PVLx9pBk4J1uB92m3ErZkUPHLYnWr4/YKXJ54v+Rp PhVrf4qdV3pWAckjefeXNFHRXTb8Lk3nJ2IrW08YcPViR2GcYJV3Jfy1JzTj DvRCMkO4i5OzBtF7NKpFWL1wCJyz7pOowcFX97F5vhdvXGg/S9Vq8En5/quD nH1QE//8OcCuBvKzX/88WdwHo0tHw8RTasDf/63854o+aEceeBeqUYvOINUI vx19cHJ8d/h9Vy3Mc9MP/gvpQxbVuLJmWx2+pTYcyVOgoWnnrdFHO+rwXZNh 36lEw9SnPAmL/XXY9YCPOb2GBh2fLU7lRAdUXS3hVt5AQ46oxlRBMNEBL7Ra DxjR8NlERj6NWQeF7/LflznT8PXdyPnQ0HrUS3h80oymocgjatnB3w24d91L rVeIjvT+kycdpxrQyF++hC1Cx9sTul+OcTTiyIM3e8Uk6PB3bbb3FGtE48bm v7qydOx0Fo64va0Rb8JuS7mr0FFz0F/qU2AjnmnZS5gZ0NGx87T4gnVNuDXE GS3nSUdV2dbjvDpNMNsncoN+lo48U/7MJYZN8H33sPPjeTqiTeKtpWyaEDvH ktK4SoezASVknW8TJAOcYyTv0MHUsRGxq2qCp/HpN+de0DGprCeUdLoZSYs+ f7MsokOfalT28EozYgeP6LCL6bgbtfPGidvN8G6uaXtfRoeEmPWw4otmdIv4 vGFV0qHNebImorgZDasKLM4303GlPfzJ/WUtkIs+Wto7SMf8kwkhlx8tSDE2 rv0kwoDJrtkyw4YWtPwbEuEWZyBwIcfNFd0tUFI0CreVZGC57+KRtokWSMq9 OT2+jAF9j5W1++RbQbl3yFZAiYEbJnuDcLkV2nRkfNFmgGvm49JlSqQuzW9Z JG7HwLIqo3FotEEhUo9r7CADWq9bG122tCGgxfBj5SEGjpstevlpdxtmO4X5 fI4wUP7CWcnoUhs2OvBxfHVl4ImutK57WRu2R3jo1lxgQPba3WPZ7u04HrA8 We8JA5v2LjftON+O9d33tX8FMWC5KkOF83o73sg8v+IcTOKrpPwxD24nOmd+ 3fUwBqiyele6ctuxk8vBLeIlAx++jQfyCHTgoW30Ydd4BrT/Hc2y+tSBT+wW b8tvDFjsLvDbntOBVaHrzofkMXDs5Yo9OkUd2Lybw7Qpn4EgnS6GTFMHvlBE r9kUMdB/5pA0ld2B+gdXNXXLGIjssbl2dncnxOatfkfWMpCmnrnT+UAnFhuW xuf/IuO9JiZu7dSJQPOthj11DExK1SfpXOyE8LtpwWWNZDz79nb/jexE937V ZZdbGeAsMjd69LsTRx4lrfhBYUBqaYLgjalOeNr8/PWDyoC6I1/7WY4umGbW uJT3MmA/W3beWqwLeq811PNpDGRs2B63bFsXrlS83h/Sz4BrLHgTArqwMfkv V9MIA9dGXzW8DOuCVL17Y8YoAyH4G/MougtnqrgCno4xSMn8uuVcehfoXFtj TCYYkBbTPbm5vQs3NQUuPWUxUHlHq7pUtRuRLT6MEjYDukI/uZ5u6gav8o/x 4L8MvH/hpHPIoBsh6q7+h/8xcPvT45hhm270drA3D3IwodvC9JK61Y0GHp8+ 5gIm3jvfiKcGdKNWV1HuDTcTEn/EOxKfdUO0ndppx8PEKKfxdsPEbgSVzw/n LSTPr42S9Gjuxo/Rr0dP85HnszZaaFG7kVG+o0qEn4k7BhU3//7uRnOrb0Em 4ZSEuQtmnD0o0VXeOrGYiYB8la5OiR44/WjwsxJkwqjfL2WhUQ8WdJx0eSnC xFX16oqTO3pgE99hIC1K3j8vTau16EFnpP/bUMJyf5OlXx7ogXtcNOu2GBMz Ip1+Gqd7yHrsFtkuwYSmnUpUqFcPMk4+VEkm7Bp1Pnvmcg8sM6ZLJCSZaFjN //u7Xw+o5w886yKcsk3Hxi6cvM9/JnCvNBOMW35nvkX14ILFk/Z3hOXKqh6s jO1B2qb41FnCgftc8n4n9SCk/OlYhAwT358lt+xL70GDjcVhBuHZ9tmxrJwe GOyrtly/jIkTrk9X3/reA5rfcMk3wtEfOwzp5T0IVT+7i0OWiaaR1Q67qnuw aaPPAQPCJj55QeKtPag/MMD1mbBPAd9H764ePLi25s0o4TQem5Lu3h6cWPCh bPVyJlYEDc58GCLz6SwRF0g4z+nGh7TxHgz8PLg3h7DjRtGDX6Z78Pnao3oK YTZ3PG8x0T0j216p88kxEdmkm1PJRUGGzhUndcJb31e7NS6iQHJu4al9hNuu Okt2CVAwf3mTpRdhqeUPLw1LUGC4R+ZFEuHsoeXK00QX+V2J5SwnbFuQ2sih QOrw9DnDHsJTT7f78ylTcCHptN0U4bBjrVoiaykYbPQ15V/BhNam030ymhR8 EH2wWJZww0LOUMVNFPB5XIxfS/h8S6ixmi7RRfoqMlsIiySojGuBgjTbu8dM CKf6fH2jZ0IBrf387d2E9+7eu9/UjALTAw1XrQmPyPVx7iE6KjD9oelBwk9G LqcesKLAZ9vV/kOE1YsWOx21o+Dzq1vODoSrQ6KXuh8m8TDupNoTPn18Y8E5 ZwoM/I812RIW0Ck74+1GQcd2du1ewh95D624fYoCWbv1r3cSNm8bqg44R0GS eZepPuH+j37XQy9RsFaAWrie8H1fCfUoHwr6BqRFFAmv3pPQGUd0V3aos44I 4VJ5/Uef/Clolwhf/4/Ml+vYr23ZD0l8nWEcA4R5io//zn9CQWqG9ts6wm/D Zl6Wh1IwXmIt+5mwidujXb9eUICIHyeiCPduVphrfUVBvpTngxuE/fgzE6ix FPy8K3P9CGGFjp32g+8pyLz3zlSPcEFSB99EEgUhsv1UKcJ/93K78xBdxt02 EPaD7J+oleFSgt8oeNdsnfiK8LaJteUSRSRekZ9h5wj7PLdarUJ0WRtTlbKU 8HTnG5p5D9F9VbnWm8j+fZ6sHWZFI+30R3+nyXnQvlVh4jBAwWbKzNVcwhdX jcWenqDA83FTnzbhMQ9D5yBeKi6tFPcXJ+fr6bZG4RdLqMheppxVRs6jpqB7 4WsRKj4abcy+TNgzNUg+XZaKAgc3lV9STAyyursaNan4UyNR6E7Oe5bbkyJz bSoeJGrt4yJ8s1n/Xf5WKjKXb9odTvKFRHbU6Q+mVLTkf7z3VZzkp0uH5q85 UCHn18WmkfyzhM7fM+pExf1+/z53wi02ud9d3agQHQjRGiT5y3OTdMBeLypm xEKF6MJMREw0Sa+6T4XCuu/xX4WYOO5ylx3+iIqN88a1awlrNmyiLAmhYnf6 +SPhJB+Wpoe+Z0VRUcrnleK+hORfr/06P9Op6FfLEPlD8unO0Sprr24q/FQu 3L5E8rOok+9mRh8VuiWLBr6Q/N1VqybrMEBFoopi6l+S3y+kBPRunyT9Y/uR a1wk/5wx85Je3ItF+eYadqQ+TP0pflKg3YurrZ+2Pp1moPDwhfObtvXC19fv UiKpN4FVigcSDHvRP5bDXzLFwMokP7lQi15owUlviNSn3acMktycewHL/m/y pJ69HfhSIfi4Fxe9k3N5SP3zfL5H0SOkF6E2XhZzDAZ0THp9SsJ78TzecucQ nYGKKP5112J7cTbE4FplHwOjew8+6c/pRcpx81L3HqKHsqesint7caX6mfvq ZgZ4XR4mrujvRfCWIIdxUr/rlsrx+Az14uvWrpSvDUTveGzPWj/TC/Z3BZ8d pN4HLg+VihbsA+XgJ3+9KgZab6/vvLqlD3Hl1wcSiJ54o1myqVG/D+4RTgkW hQyc6rR7rGnSh7emBYWDRH9w6NwEw7IPq+KtJhSIXlEeqH5t7dKHjNXGtp7Z DFzYe8pV40kfileNX7j7kQHB5fHDfX19yOacWpb8lAED29udvf19GOnSnpAk +snryZGf1KE+7B86e+L6YwaaOKXie6b78Mtsw0qTAAZe0e87dgjQwLY8XJ52 h+iNFI+qei0a1NLCd8heJvNtrP6x6A4NP8TbZJfZM3D9Gv+Lwgc0GMQultUm ejAlk3634DENrRbbYyxtGRBTiXbOC6dhzviD1pX9DHQILJXJTaThfG/HpSRz Mt6m0fupDTQ8+OeQEK1L5ss90zVmFR1/Qze2RkoxMGCQdH+xKh2Z7HNt2hIM 7JCKS7ikQUeh9+baKlGiR8tChyx06ThT9yB0TJCBq6suXJrZQ0f4b15HSR6i f7o33N3vQ0d1sm9H5QgdhjYpcdx1dEy4XHbsKqHjldr7sjNER9toTF8Q+070 84KY/rYOOhzFQ2x2FNCRk/ZkXSqDjqAi3TOxuXSoLz2TeZhNx1aVijatZDpk f64ryVIh6xTEgS/P6Zgy+Nh34gYDjj65srtc6fj6dvDlZTKPUzHlayyP0eHH q2Z19wHhZh59y6N0CNYmFsaGkH310fjSdns6lI98etVFdOqkXe28kCUdtr6p dtZEV74VkhMV20Tm4XN2JRSYkNn15kIVBx3ey6dvWyozEXsz7ownm6zDrc1b D69lwmpgIwRmaajc+fmD9yYmjj2ctdYfp6GvOfduphkT37wb1lyj0SA29c1g rRcTWzIEaA4/aLiwoThD4jupO4sNz8aRdXTVko95Ws7EngE9+8CHNNhpXwsQ qGbCxuGO8Zm7NGzV1XLmamXCbeN6vjXXaeAyeis0NETy3nKq2KnTNDzZd8ej RKYfK/byflu3i4aEsybyF7z6wXeAq+LhAhq6PxUH/FIYQKl4b/2kax9q/3D/ 3rB6AEtHBS50OPWhQG27RajaALZW+nrkOfQhJqFE4IDOANi9V8wv7O+D87vS Rx0WA6ilKbnF6/WBHlX+hHF5AK+/clxfLdqHP4GVIeyqAfwbnOo7m9uLOY+G l2u8B9EuUDQtM0OFtfbhp+o3BtFaY++sME7yFif97sY7g5j4HvNh5R8qHMNZ 5/QeD2JPtdQ3cQoVhSUyO/e9GUTB1Ar3b+VU3JN3mrhSMYjCA/Emgs9JHm76 Y1Eu8xvFbXE5TzSoOPX6klHVit+wYvhfZqhQUXzqn07dqt84ffuj85aVpK4s EFbsUP+N98mWcT/FqGjV1JoZNvoNM70f6h9mKIgO8I6TPPkbKXk9VUakzq01 XPTX9ctvsK2L/YuIrkhJ+Li6peA3XiiJV6WZUqAltnefWelvGEXrGr/Up2Ab I/zt2l+/wR+VHW6tToHlI9VdI/TfkIybGHFbQoFX6+7wqyJ/sGjodCRfBdFp 50I3BLr/gcsLv3fz23qw442CW6rkEFrWbC93XdoFrXBB5VLZIQgK3f1hwe6E /OO5vjaFIewLLA1UHOjE7NVGZ261IQyGZRbGfu9E0r4HjgcMhnBqz2/LMeJ7 RDlHbdgnhqCyKFjvT3MHuo8UmJjlDqGzY/jYiZB2VNokLXDMH4Krtcx0D/F5 ObsiiryKhxDg4ahu69GOYJ0LBpHVpP88dxFdw3ZsF1LZNkwdwvYOl+8Lhtvw Me/JxrDFwyhfeCwqc1cbwjOujX1YOoy0fyIBd3TacCfBPTVPfBjaPp+1XBXb 4PjMWIO5YhjUj/n7PeZaIezJUt2qNQxztccuOYmtuLz8yEqKwzAO8B72GJZo hfNeTdsOp2FM+lwav8fTCsvbnA+bXYex4tF1Q2fio5X7Y0erzg7jTFHBr991 LWjIYBbk3hkGD9c2maaQFhQwPk9kPhiGp4zf4uk7LfgoE6CS+pi0i9++efNS C/xurguKDx9GpM7U2Vb7Fnim//3+JmoYSm3cNhm7W3CQXsOKejMM8ZrEO/yG LdC08DoSmjgMuVvUfr01LZC9YRzyJHUY4dfPxSnJtWBRmljZwyzy/BwzIUq0 BWN9tFn/L8NwnhcT+cjXgi7JbPVbBcPIVAmq38/Rggrz+87XSobhPXat4AWr GZm+B59drhhGdtIC7zvDzYhJUa3wqhmG0JmUE5LMZgT2zrFPNwzj+Z/qdFtK M65IVK13bx2G5jnaZtP2Zhwze3XcpWsYq+bO3e5vbIbltTMvjvQOo0dGsMT4 VzN0kw2q7JnDuKkqV32gqhnKVGFO2z/DONelsUilohnC4r1a+8bI+ixTPZlV 1oz5HRknLFjDSB045cdd2gymt3/kjvlhPFs+7yha0owB27UnXnOMYEq04kVv cTOOjohyrVgwAvHR9fsukvamB/MvI3lGoMGZoFJO3t+lSNskwzuC7MUpZu3l zSj4WlXznH8Em00Gjif9bIa2bZa7+JIRiGWdzd1W04zE4VcLQoRGMJ2gJnav vhkrH9yLWioyAgp9U+ODlmaErzyr81hsBE2tS+cMu5oh+NXu12JJ8r0tSUqJ fc24Y2N48oH0CPyZnNHFg82YGVrDs0h2BMmfFY7dG2+G532R6DtyI5Df9VZl ZK4ZfQpzm7kURvBOGu6z3C2ota48xVYi7X6cpj1SLTAdyljoozKCnatCx1IV W/D1XlTMtOoIri6O3CWs0YL4XM+GcY0RMA5cknTZ0YLr8sLbBraQeNrpF0p9 WzDxeabRbdsITE833vcKbIGHFfUMTX8Er39khfi9bIHN3fTYHuMR5Djtqs3N bYHab5vFzbtHEBQYYsTLbkGOtUX+w72EO4skK4RaYfzN6Ly+1QjCi+ofNq1s hf1jjfY4uxEM91Bjv5i14oEm38cLx0bAze93cHNEK+gXvpqLXB2BdelM/gej NsSwVz7c/ZbE2y5SLR7dDlGhEd7i2RGc5n031WjYhbpvD++Zscl67F2kHGrd heBTSgtr/o0gzvnkjJFbF0Qq7Be0cY9Cvc3F1iuQsH8Je1hwFK4KO8okmrqw dC5ibJniKIzP5JWcc+2GAGN7x/ldo9hx+NfaPL0ecOe/TFaMHMX5LpuKy9uI T9hmsrP71SiW9D2wjyA+Lzn3d0/E61EENDJ4Mi0osM/SExGJH8Ux97pfdQ7E FyV1X+BIGwUrbLNO6jUKHCMVdTvLRqFzym2A4wsFOVc/Fj8bH8WAhs3X1Ruo OKn1pZVv1xhGhSIrLQR6UVDbmJizewyBXC5F4SK9ED89csNt7xh0pSZYXVK9 yI9TUi6xGUP9SuYWe6VeiEoGed08OoblOeu/COj34suMy2LWxTH8Nh967erZ i8X5gnp9MWMItg07KfqzFx/NnGPypsaQ41zu6nixD1pqCvqYGSM65JWRgHcf 8gR72vPnxrBB7IpS1nVSj+sPSxZyjMM3xErg770+TBw++Pg7/zhuSl1Lc4zo g77X3mvlcuNoXKAwfDyPPB+hb1dnOo5zXm8+RpP6ftCXPbnfbBymO02H6hfR QD3yNaR+1zgEBpcFcROdObFKt6Zh7ziGmozn7MVokE7eZNpsPw6D23/TO1bR 4PxdTavDcxxLDx4p3bSdhslBmaX0Z+NYVHPd3fI2DaFRjLLIF+MwObzE3eUe DRv3ZNywihzHg1Cfq5cCaDiXtnu44DWJ/7ld8+MQGv5cuVn9MnEc4cm11UGx NNB46IH7isbRkUDraC+ioXFFKt+3P+NgyrQpRf8leuiXb+H5kXF8m3s9t5WL DtHb5ldVx8dRqZazrpGHjn30Xubz6XHMT29PnhegoypRotxrwQT4kt2c5ZfR UbLl2l0V6QlslJ3a91Wb6DerHQtCTSaQzSU7a3WSjvu7cvxld0xA/dlPc3NP OhyM1/DGmU1g3lA/Tu8cHVwbFy/JspyA35iI77LLdFiK1Ei02E1g3bKn3el+ dDBrbVVlT0/ga9m/13Yv6JCxdN33NmwCYXqVO3yK6fizvbleLXwCQgJzbuJl dBTo7bTNjJjAls8nviT+oMN1neqh0ugJpHFkcdRX05EuMOTC/DCBmEeflP62 0GHx8+IVtbwJXKy3aqn5TceNnf7RGfQJBGcO+Z8QIf7H8YSDZv8ErkeNNkeL MbDq4i7pxMEJvPzpFNFA9HrFa+GQ2JEJrDTTu6C9jPiBuai7wbMTOH7jeli7 IgPvk7JOnxWcxNR4u22iFgO1IsytatqTeFw01nLamvi9NT+n4zdPIsDcd9Ca +ImL+JSpuHUSWYcTH2whfkPm1AWNZQaT+OcrdGruEAMuJRyK/OaTaPW07HI6 xsD0ZWl+5uFJVDTryOeeY0Ch07wl1n8Sqn/KlkcFMvCwaGuyzX3yfemUpoPE D43Fq91dFDAJ1ofbpaLELxV5CWqdDJrEQ3UtyxtEp7vw1j3Z8HISVy2cxTZF kPg3HtxRmDIJ5cIWNVmi25dKm8udT5/EtJBwRuJ74kf+6k6uyprERFnOdd0E Bsx/yMbe/zKJDg9zyu4kBgYde/7uKZ2Es23HsFU68VsP3bK62ieRKN79qzOP gWdn7B4FdZHxCEvQjQoY+Gdt5mJEmcSVRvbOOOIXa1esFXlHn0T+P3+2UzED 5zKHTp8encSLkO8bv/xgIKPnotL8wil4frl57E89A7o6d0KlN0zh45G9fDbE /zY5S2tHaU3B7r4LpxXxx+cff2qW15nCpBor1ZLJQCKtRUZl2xQ83C30McCA XOi619qmU+BS8BbiGSL+a7Qpycp+CrHiZ4cVJ4l/lD21p9lhCp1GkzFswlt3 co7aH5mC2vezwo3Ev1+IXqvl7DKFueEqTV/i9+m7b+ae9STtHo/Op80x8DNh TdkjPxJPtph9KicTJ5ryTgj7T6EpuUHZjYsJbi5r/rB7U1CsNMyRWcCE/sHr uyMDp2AaelnVh5uJlEX19QnPpjCrfclGYRETFhtPXFR/MQXl9T/2lhDud2RL pL2cghXHEVE3XiZWZq22/xwzhTVXgoZj+ZgIdbnWU5YwhVODQQILBJjQDBL2 25U0hdZof/MwwlVf3inWJE9BJ05pv9ISJhaK/nJtypjCjbjH+fqCTFwpVPrT lzcFt5EhmQNLmXCQq5nhrJ/C5tXspXJiTAhKe2V+aZxChofe9meEC0XFz11s mUKj1CLaYnEmlPkOMZmdU5B/c+nEMOHhcXpTDXMKN4/sv/dckok3Qw+CHwyS eNzPys8Rtu5XszQemoJTx43VDlJM5HR5lWSNT+Hp67CbEtJM+P34mx71dwp5 wQ6up2SY0Cp+feYAJwtiqyovfSHMyDNZK8zNgsSYPWvRMjJfGQ/f3OFjAbId Zi8I//20zlFfgAXNNXtkuwinfKiVnhZkYX0j9Yi8LBPi0RJPT4qxIBh7bGsU 4fIXny2UJFkYPlhR30zYO9SBt1uahcQ2ky6h5Ux0PXhzY/8KFnI/OppfIRx0 Z/tWgZUsnL11NvE9YeMbzKmSVSz4q/ncaiL8/oK65xZVFg4ft/VXlWPC/syv NeNqLJhdCM7YS3iJxwVaogYLIYdeHbjw3/2hi+Rr1w0sqCYleYYR9jqS6yC/ iQV52fGZdMKr7A9LtemwMHUtZqaGcJM1R0OILgv9JfTT/YTv74l9sluPBUOh KVuOFUxsNTfdtciAhVch7AwxwkMm/QsLjVjQS1l7X5lwDAKLvLezYEpLqt1E eL+uxnWtnSwIN6U8NiLMvaluy5A5C+5mR4ssCGdpXJyM381C/RrGyf/uh91V pVKd9rJQ538m4L/7YVmlL6eWWbGgFLRS4f/3wSscVRptWOCPUVn3H9+U4ex7 bMeC9/oPyf89v1H8bfTOQywcp1W8/68/utCOQ1yOLIzfSpf67z46nH9A4utR Fj6P3fv3XzzmPI/qLh5jYXTnqcPahNn/NB5ruLKQ8+X2htWEU2brzPpPkPG9 H7kuTth58iJP7EkWWE8bjDgJi41IFTp4stC5cu/1/+6Dywa+XJM4x8KTtbfX /yLsTXPcXHuehcexgQ6ZhNV6OCceXCLj//Dw3zPCXW1vk42vskD3i5C5RDio ccdJtg8LWlEtSfsJT1Y8op69xcKM4G49bsIdixtPzN8m+1Hjn3IH2Q9FFrLD 9+6S/Vip2ZH63/6pTph7FcBC8NjRD7aELwmN3VJ9zMKx5f6FSoQP793CmxXE Qu2iC3FjZD+q1pWJVYWxUGw9VetPeKmo0Eu7cLIfdBOkLAizrGwV+iJY0Ge6 qy0lXNzYt24umoX7L0xznpL979jKuWNNAgvcHxnO3uT8mMiYVWUksjAddlZA g/DaQ0FWBsksyOWc8KOQ8zfdIXf0QAYLRw0q60E4uGfrVf88FiQlTJZQyfm9 onD739JCEn+f+jJ/wkecK/wjv7Ow8NX3SSXCan12wenlLJRKzi91kmCilHHx I6WOhYc+f7u/kvyRqPJt/elGFna7B1tZEg5x586ZbmZhbCc1pFOUiaODwcVC nSy0V6d5T4owMTuU3KnHYIFjsrOHX5iJHg3WsR/9LHD2yeY+JPmq7Kz+gPVv Mp4VnEd5CYeOVU6dHCXxSL4RZpP8pjHVLxQxx8Im/+uLK0k+lNBZ/0zpLwvq 9avMdAnPX74im8oxTfbheqt3i5momFm4ppxnGgIP91Re5mfCha1oNCU0jWh1 y30cJP+Gczte2L9qGkNud1/Ek/z+95jkpl/K06Be71GZIvnf5Xvt5J4103h4 IviFEWFNP+PLu9VJe3uSXOM/Bsr/qXjv3DyNqlmvzJ55Bliz4zf0LabxafAb RzCpNw72SQbfLKdheogdkUfqUdFnV85t+6ZxjSIk3j/BwOMrrX5bbKdxZ1bn vc44A8pTef5aR6fxd1p7x5dhBmxHHwSoXpjGcPbCXQ6kHn7da2zx4RLp/8yh eldSL1emzAuoXJ1GcPuxLWdIPR3yPPNY6fo0FgSMRV3tY8D/t/VT+fvTcKt+ Xnyhh9RjxornEpHT+Bp/zZm7hQHRrsw3XMXT+Mz/MuReCYlHwNc3u3Qaj+28 SzeQes6/1cTu1A/yfUWnM+1FpN6G1y1pqp6G7xOxlUpED4ztG77yoXUam+8G cEXkEj1QorJn7/A04upuneBLZiAw6eVclMwMrqxVdZwPY4C3w7lp//IZbHnO m2QTysAdftXURfIz2G8c55oYzICPW47rOaUZLD5yVmr/EwY8FBp/mWjOYK3f ZY/r9xnYGSb4fnD7DNrWWbvaezPA43vLesu5GejaW16RdSDjG/09k39+Blt/ KUmY2BO95GoXbXppBgH7S1zdiV4r3qMxYOUzg4c5z+WSiL67s7Lzhqf/DHKt Z9uldjPAXb75Y+yLGWxjXFS+pUfGKzrCKVg0gxfrhEKeyjKQdu9QfGjxDFp/ +L/ylGHAeb7UYlnZDMI/zlqYSZH1pUU9V6mcwW7ehCCWKAN+ObvWGTfNIFji UqzOYgY4HePtrgzMYPSQw6XtM3RwfHBMporMotXvd0RIPR2lv5s9o8VnwXOl 4dlwLR2BmvvUHaRmQZUzydxJ9LFkjnFS4/JZLHi5w3asnA71MpWP5SqzuPje baliHtHvtLF3n/RnceexXeRMPB2fFe698vaYxbnNzj4XrtLhFZH8SKRoFqKL Xy93E6Ujez7iXlHxLDxWtn0XXUrHvOPdW15ls8iZO3P8G/ET9xQPX6yrnMVW l6KwRQvpiEzkPxzcPEt0Ac/9y9M0lOQdVxP5MwtLRb/Q4g4apHqX/RSWmsPr jBsDfMTffFt7n1fYcw4nT7uMDinRoN0gWRV8dg48Y8cPSqykIeVa/FOx83N4 dHJhla4cDW+qSmWkrsxhL4/yL28JGu6f4Vm3wm8OQ1PuK5sX0rA/3W/fumdz eDbn/+gfvQ8MXd8Is7w5HFlhsJo7rg/C5l5qfoLzEPrr6nNFsg8xhUKLdYXn IWUttfKcSB80tyT1j4rOw/2q45fjS/pgqcJ85yQ9jzap+wNGC/rwcKGjguGq eZTvvvSxcqgX3N/NJDh058Ete3rJspJeTG1V4Lh+nLSr3ed5RPytf3pe16YT 86Dcsrf9d6IXYmsdvv3xmMdZyQC908d6sVHmuffhs/P4qSNSuNWuF2enBSa3 +cxDYFHVptj/flfKmO6fC5pH7He5++GivehYV1t/9es8/FNVcjkyqIgeFPZd kD8PWqvmZ9NPVDh/sFJ+VDgP1bT44/ffU9G/qvlKTOk8Vl/qGvgbScXUsq7l ZbXzuG8YUZjtT4Uw/283Mdo8juz75WJjS0VD2TrhV4x5eMs1jFnvpSLc/0zu 6oF56OfyDO0xp+KQceqx1N/z2PXkvL2pCRVynOMCW4fnEfa8buNmfSqoeVpZ xaPzMEsvvqi0mYq4a5eOWE6Q/p5TlwluoOKEbg5vy9Q8etK+KIytpcJs515t w5l5pOb6LJFXpqLuOK1p8fw8TvyxdT28goq0877cF//OI+JYtomfNBWX1ucn /eVgw+eFfaSVKBVbhjkO3F/ABn8dh5b8EirmE404RBaysWLyjjhzIRWxMupK X3nZuK0dY3mIg4rbKqX7lRazcVSoKs59lgJT+qL5T0vY4FQ13qo4QQHfW7O4 zUvZWGk4w9nyh4JKpwDLIhE2nIOFJ+8xKLDqFHzdKMlGYV6mRWsbBUcbxE3n FdgIuCinblhIwargA8P+q9hIDu+ur86lgLHnRbjQajbOhn2+eCCDAs+fsoMr 1diQ8nOLPRhPgU+RYpCZNhtc+sGHFR5RoH/z+Jb6zWxMO632v3uXQv4fT3XY ysaGU5ue0m9QcP+z6qazBmxYv1Xjfu5FgcXlU10zRmxcvMfjxDhJwVjfgQVv t7Mx2PIpuMOFgrqxYc0lO9nYafLn6hVHCp6lrG97Zs6G+rdCsc8HKEhxvLQ0 34KNt6ZBr6b3UaDHm/brzh42dk1HHn1sTsH3FzH7rPeT/sLtgxcYUxAbv/nG N2s2uv5tlbq7jQLX494qOw6wMfnGdPTjJgpUFb/+qj3IxhLr63sr1Sn408P2 tndgw2hfri5jNQVVQ2HvvzuycW+X5X4bBQr+BzIohQM= "]], Line[CompressedData[" 1:eJwVkXlYzHkAxnO0MY8OZ9iZJDmSxzob0vZuj6PkjKRtZ1DaVErJI6FRSoNU W6JLyrnSk0KZ0YoOHUzHNGOu3/yGFmF10LA15fj+dvaP93n/ev94P5/pARFb fh9uYmLia8z/fdthQ6i3C4HlUiG3/KkOxdU76E5XgqKVA11ykQ77poY9jfUm CA5wlL2ZoEOf30OzRB+C75FHhkWa6iAQFnqZ+hFkVXh2JXXRiGHfqTvPI5i1 u7ukTkWjvSmqxmMnwcJIzuMXtTQk/BMLKX8C3pk+jv4WjeM2Aw9KAwmkhfbf ZNk0tE/Flf57CM7X+AmLEmh8KKTafw0lyG5OMVuzl0ay7Yp7TWEEZ/evLrDw pZEkWj/LN4LgWXhD3u2VNEpSiw1eUQSfZ4kdPznS+MRdsGLEQQKrQxeHeJNo 9La6lWQeIiieO7JfPIzGtbRyp5AjBM57I+NburQosG+4MRRLsDsugzEotTBI hddL4ghC2Xe0+motNh/1uLozgcBizyeO/KYWRbNYl8clEQhs12TkZGrhJ0jN j0kmoBZWRqiCtKiaey5z1XmC3kmL3K3GaDFBtS3DkG3kJ2vqnNJPoTmr6cfW PAJzxdecDh2FxnlUCv8igVLX2q9ppBDb62m9+BLBrb92vQgopRCdyDv1+ArB 14oPqTNzKEjn2wijrxv9aPPZl+IpzNF2JDoUEejPmjp/D6YQn3T5uK6YoC7A mufiRcH8kJmn/y2CtMitPxicKeQFh497W0aQYH5yUrY9hXEWFy563iXY2vP2 noslhfJ1y69+rCAo2Np/WGjQYJ4+aL63mMBDFLp68KUGLfNNlwxVEmy0pJeP kmjAcalbxaky/n2t70kXaWBR7IaV1QStMwI9m3M1iBrBTT1ZS3BCdTVl8IQG zL/528bUE3RPP9pZGa5BTJ7k78hGAh/3XdrT2zWYrAl+O/EpgeiBRNrpqkGG IGv/kWaC1XaVe2PnaLDGLLwCbQROgypOsIUGj0rycK2dgJWhPVpvUIO75Ylk 1DOCtpxuauRLNXroAvM2JQE/N0Sc3KhG4PGWnEUa4/7P9JepZWrooxb5i7VG fgdovku2GscCcxxcnhPkbhHMlhxTg+VD9DUdBD1N3QJukBrVHYolwlcEy7h6 39Hr1LBfLkmQdBr5zgk3L12iRn108KmId0Y/bqFO0VPV+JmdNV7xnqCz9kZL /nA1JObfaN8eAms725G73qvgw/hfe/6BYOVnqy5GqsLrvqawAD1B4OL3HrEi FXhZ/YbGzwRjK44e5hSoYGXb4pwyQODfN4xfdVyF0w1DDX2DBAfGu9VNDFFh knhn2sGvxj29yoFsVGFPPbsw9ztBkHhT0d1lKizIc5wWZ8IgoPGjJW+qClVn Mt6NGMEgKmxtYDujxFqBoeyUKYO33rp37DdKqPbxY8xHMehcxWW5SZRIHlz8 QM5iUC34GCssUeKjl8Noa3MG5Rc9bS3OKZH+R5NFlSUD/9nPMn0OKTF6aX+u 7TgGZV925C/iK/HoUbPuzQQGo7LW66tclbCbXDt3rjUD1grXTTdnKnFyvyhm 3xQGTi/jIvaPUWKze8PgVjYDpYatGN6jwJOeT4n3bRhc+a1xGkumwJQvZed0 tgz0Gdme9fcVeCV9NKFuBoPkusSHomwFbv3DuWCxnkE7SxqfUiZHW9GmkKiN DEbyuobXpMsRuKV3ZqkXA/7mFe6iIDl+MdvWLfBmwFOzHre6ycGuqrq9YTsD UfBPXWlsOQYj7aM5fgwchxW+MgzIMNauYNlYPoNjabu4NlIZSrWfTR7uZOBa lvnD/WIZzhaMl3/zZzCj4crjtjMy/AflK/DC "]], Line[{{1.9719594070500728`, 0.23465694592500785`}, { 1.9725428701911636`, 0.2322520054418687}, {1.9780342879896655`, 0.20814110195932387`}, {1.9787207152144783`, 0.2049125237079944}, {1.9794414638005315`, 0.20146320688855976`}, {1.9800935696641035`, 0.19828737795494622`}, {1.9807799968889164`, 0.1948850798934927}, {1.9814664241137292`, 0.19141874234069034`}, {1.982152851338542, 0.18788486475886104`}, {1.9835257057881674`, 0.18059854857633048`}, {1.9841778116517395`, 0.17702723311775814`}, {1.9848985602377929`, 0.172990187737927}, { 1.9855849874626057`, 0.16905176871825026`}, {1.9862027719649373`, 0.16542358936579063`}}], Line[{{1.8752313690556592`, 0.4753095383371921}, { 1.8758574006209332`, 0.4742527768124575}, {1.8765163812159587`, 0.4731362964068816}, {1.877175361810984, 0.47201556630058383`}, { 1.8778343424060093`, 0.4708905398806321}, {1.8784933230010348`, 0.4697612000580378}, {1.8798112841910855`, 0.46748943371741675`}, {1.8804702647861107`, 0.4663469772516909}, {1.8811292453811361`, 0.46520009242511956`}, {1.8824472065711868`, 0.46289282500105566`}, {1.883106187166212, 0.46173241482749666`}, {1.8837651677612375`, 0.46056743772767333`}, {1.8850831289512882`, 0.45822364446318875`}, {1.8857091605165621`, 0.45710380685052326`}, {1.8864010901413388`, 0.45586117899841017`}, {1.8870600707363643`, 0.45467284005221414`}, {1.8876861023016382`, 0.4535394916572849}}], Line[{{1.9636536376298386`, 0.26633787985253304`}, { 1.9643057434934106`, 0.2640026580369217}, {1.9649921707182232`, 0.26151928554495507`}, {1.965678597943036, 0.2590092800506333}, { 1.9663307038066082`, 0.2565994378075238}, {1.9670514523926617`, 0.2539062570130525}, {1.9677378796174745`, 0.2513115515729616}, { 1.9684586282035277`, 0.2485548578195671}, {1.9691107340670997`, 0.2460312741692633}, {1.969762839930672, 0.24347888353862157`}}], Line[{{1.988443956853951, 0.1515047234554082}, { 1.9890857663091506`, 0.14726804518225706`}, {1.9897035508114822`, 0.14306783225577033`}, {1.990389978036295, 0.13824699826000694`}, {1.9910764052611079`, 0.13324716985524823`}, {1.9917628324859205`, 0.1280473681268971}, {1.9923806169882519`, 0.12317577590392016`}, {1.9931356869355459`, 0.11694049530170245`}, {1.9937534714378775`, 0.11157519041485597`}, {1.9945085413851715`, 0.10463841540932989`}, {1.9951949686099844`, 0.0979003193138736}, {1.9958127531123158`, 0.09140696436683436}}], Line[{{1.9993478533201015`, 0.03610891332168296}, { 1.9999999591836735`, 0.0002856604710383269}}]}, "Charting`Private`Tag$7040#1"]}}, {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12nk01N//B3BSEkWWhJQk2oRSKS1PRVSkFKH6qJAUWiytpE2hpEVSkSxF ZN8iIYkoayHMZph5t2BGYcY6v/v94/cP53Gc836/772v+7qv1z00nU/tOTpJ TEysivz43+8dR382lv06uqlW1fBKQOFKTDZVO81UNYPZuY15O/viYBgbFZ2j aovcVhO3a/tfo1t94dVzOk6YZfJpUbtMBixrW7NjVF2xg7V+KvUnCwvvzH0p 0jiO85LNA8FSuRjb4fL4iM5JSJq/Z0r158HeVfD+gaovMpfNzU3aW4gKU7WC j9FnMSW76XFWRxEMtDZmDmhcQHlyoLm5dTGk2Nfi9+lcRtS1h5a/JkpA179l GqZ6A9GltkmZnR8QEatSpn0gCC4OvO8vvcqxQy5lQ0n0Tex1zbrnN1iO/L6v q3kaIcj0G8z9N/wRd9MUFtvo3IXTj2rnK/RP2Do3MfHXsXDYrXrTU7qrEpcr n878YHsPKKFVJ5dWYtUa3TDHyPuonHTIdySqCi9m7boZqhqB2sjkv7GrqnGp 9nHFvqIIOGjtmmn+uBr7gliTtA48gofgWKeTsBrTB88EvouOhH1NWumy/Bqc /x5xvkfjCfTco+trNL/C5mH7CWud55hcurFh+cc66FpqvVareg7W2hZTMcV6 SEl4UtxjsXgVQV84cKQehwonskptXyCvsTrbcbwes5bc03OIjMPLtsuKhx41 4KpUzqIQ1UQs4GfuVMtuxFKL+8HZpxPBurF+yaLWRjQFnfrVUZWIwJ+0g/TR RiyU0E3VO/sS5QbqrJ1mTagcT9T73vQKDxWrw30amzD9X+RqjTuvsWKwv2AD 4xui6BdN8ybSoR1tce5RTTM2qzsmMuwyoGYoHH9BNeP3fqMpUmkZmP2k3D1g cgvm9VxwSVueiS1+siWpG1tw6vgabTFaJpp863T701qg4JqR/HJtNiKWHy1N utkKB8e4DH5/LmLpXUkO6m3gddhKx6vlIWzibOH4yjbcdJI6utc0DwcmzUu6 tb0NOS6n1PIj8nA16esKy7NtkD25MeiSUT4mdNwuRdW14dO1tv2SAQUI/OxS dP1iO1a+kZdUlyrCE+mNN3Q+dEBGdPWgxbxS3E9NbTqkyEDUcXsnXfNSpGgP H760kIGF33UPy58sxYOEU9dvrWZg0+tWl473pbDcm/vrjD0Dha8j8wr0ynDD 6krP/acM9O7tKbasK4NO1XknxXlM2CU//uIzoxx/z3s5O85gQdum7+fH2xUo OeL4bIWABbVAC+NjcRVYHr7gScEECzPTXtyWLqjALvkIXSPJToxI7dWzYVfg mI//Kq1ZnWgoK/BhrP2EwIVzEzNWduKiwdUJIecTYqhNz194dqJOTklJz6QK IoXVMkq0TpyrW4eogWp0h1cORaSwIauXx6mWqkEiNdZvmclGYpjBnVH1Grye 5Jk4kcdGo9WiNqetNSj7prXR/gMby74o+WhH1mDxyOvY5lY2mFW8V9lGXzD9 grGG9OQuWHx4KVt78SucOqbtd3fswuxceYa4eD08fUWZUcIuHLwzatutXA/p vwbvisa7EO/K+VKpW486rffhPyZ1Q3dWYeFth3qYZ3+PnzqjG1vOHn40K7Me ZQOWxYaa3VgTbf8qQr8Bf1WiJldu68YRp1f/JTMa4KTvrtod0Y18tunX+g1N UEzWMr6iyUHLtqv9YRZNMFJMaH+ozcFQeomy1Z4m+CUE8hOWcGB0ad2Rz8ea sLLt5LXCFRy8VdQfKnvQBMuhbceLNnNQaKY2P/tnE94ll4UoHeGg+BXfJyLi G7RCHqUbxnBAm673ZE/sN/jsiSv48YKDMW+Pkpkp33A93uTIxUQONoIrFVb6 DWuWdT/NSeWgpLUjJuj3N7Qca64aL+SgVKqq6qzJdyzoyxH728xB+YmYOY49 36G14p3+ERkucn55eDgNfUd7wlGWqywXie7G71zEmvGQN7/kqDwXQW6t+08q NaOu65nEodlcbHOWf3p9QzOqFSbX6GtxUe8YpJJ+pxmLfOzbdxhzQdvmNUti eQsCsp66erhxUVu1/qiUUQvyXwqGZh3nosRcOm/G5hY8URuqfu/BRaxZkq2K XQvs33MMp5zhwtmk8+HygBa8jEvU9rnExU8jOwWH2hYUrCvq+RLOxaDORrk0 r1asTTPV8s3nYhN7S1Xo+VaorEr7OvyWi5sx2wLdr7eiuNvZ0v8dF8pKtjyt J62ojLtQc66MizXiHvVPK1pRr+jWsa2Gi/MdUeHBc37groVNwl46F2PhA3Ku 1T9wrHbRLllxCmaWI1Wbv//AgJ/HIX0JCnckxa5oMH/ggeSc3TunUJgbIMNv H/gBP8Oib4HTKGw6saDBZn4blNl3TpTKUwg0230P59pIHByVfK1JYdJw6sw5 2u1gZg4sWwQKc2q3/IN+O+ytPy+qMqGwKq6t2XVdO9KZFqdct1A4un3qs/Sd 7Tg/M6QzciuFz0+ctbecbcfjG/dsOywphBurGh+vasdvyjuAbU8hWTZT/W5j O/xCd6+zd6RQxjYXZXe0ozjZZXP1fgp/Q30rxnjt8KcvW/PyPwr7Ouqt76l0 QBA/J3uDCwV1/5suBcc74CIG3i8vCqt3zzWn+XTAP6Tc0/AUBeuFuYvFL3cg 2VJ1zcXTZHxfO3t3POjA27nT3oi8KbDVN55nFHVg5MYmrd/nKLx+/+/OlOk0 eA/F6m28SmGN6HD+3nQa1tNmy3Tcp2C1s+za1rc0NF86qlL9gILLM41dRuU0 iNr3hOQ+pHDPiEGptdDwZtL5R9cfUfh16oAqe5wG/6acPZOeUIhm2fmf3knH 6qsjG67FUsjWy9vmbE/HyCfPM+YvyHz5K82yPUJH4T26pFQchUGVb2lGfnRs DB7dez2ejMdmN3Mimg7PA1/O7H9JQbx8x5awHjoqkiruhqZQUJmZIhs4RMe8 PK93C1Mp6DlN6zgtxoAMo2FrMfH+kSofWyUGrL2Y3l1vKOSu3PpyzgYGtLOy FylkUKi5knhmhjkD4Hxa/5iYVSexSbSLgQq9t6mqmRRmeJS3sF0YWNC0+bly FgW3BEil3GYgwVO8ip9Nwb//+fdnjxgo2bok53AOhYeYeBEWy8D6whXDtcRl HcXrzuSQ71HsuP8il0LLEnVJl/cMlE4Mdk3Jo9Bz7lKTbRUD9+5z7roTqyoZ e6ztYODsrBV92vkUDJyfGC3lkO8XToq/QmyeKZRQ5zFQduxR2g9ib6uCaNEk JuY7smuuFFD4emNVXeVSJnpMrJWz3lIwlvsy6f5qJjJVTlmMESc/OWJ0wISJ jZkKdmaFFK6n333Bs2PiZ6rb5C/E/LXazYWHmej9YP9yWhEFp4/vpt3wYCJ5 wkpzK7Hxj5/eKleZWBNQkpxNnOwcmMS+zcTta2dzuomVe2fR3kQy0bA25bHi Owo3zr2ZeS6OiSmTh2xB3C9uunXzGyYOZQ/+PkbsdKftgkwBE5wAM8cw4q/K p9ObPzAxVzYgNoPYOE6yK/YrEykX1r2vI05eFjP7RCsTfy0Us38TK+cbWq1i M/HNOyFAopi8z6TmykQPE5vdr2moEv+tOZz3WcDEzOnbHi8jzkwZ9d0uzsKV wtvdxsQUzzw8XZKFeVu7JS2I561+8FpxOgv2E9T4LmLbi/SP5+VZMMvSrbYj vl26mEFXZsE92cLdgbh8sq9wizoLnum17fbEwu2lCsmaLDDl9s63JdYPl14+ YxELomiPtTuJ3b7bWXjrsnArNWWBKXGMatyR1hUseKgkMFYTf3fqubTBiIXC 7ZSHNrFMolFk3AYWHAym1cgTb/l1LVNyCws9258KR8j4L+jV1XhYsBAXv0zA Is70UeU0WLEg3brz00di6q2raPUeFiYp33dOIJ43kaH6zJ6FGwuC6gKJ7UxH DcX+Y+GJXaGUI/GdYHPro84sGL4onqlPPKxAv6bvxcLfLSeCG8n6Gjgsjonw ZoEXZCCIIXaL8SkYPseCbNH4imPE3xdJ93y8xsLjDNY0PoknGS87ySXBLAy7 y73KIN6S/WL+3TAyf1PPTfckztxgZOcQxYKOhsaaDhKf1NVrp97HsHCJ7icM I55XVRuyIIE8X27l9Y3Ed2xcS3rSWMj5I8F/QOL9Y2TGD5scFiJPLG9cSzzS MfI3/y2xVPf5DrI/3N3uL7r6kYX89XPVZhPHptI2cz+T+TiXpZBJ9lsLf9FB yzry/AVD9VuJzS6V3JvVxoLc0azIY2S/atz7M/y6j4Wzd6osbpD9XnIk8HX2 Pxa+pOxTnE7sZKjo+E7IQn+Mo8x9kh+iW4zffp3UidJrBoEPSP5QmRt6lqfc ieKDezx80ikU9M3VEc7phO3irPDuNJLfy7KaxTQ70SjmSd9D/MilbZXCsk6I m7r/0yH5SiFl8b9V6MSF0KiJN68pZF0qjt9o1gnrukHnqcS7d+7eY769ExoP H/Q6JZPzhn8uy35vJx7njPpMSaIw3ajq1MVjnXB6mmBskEhhSsXRntLwTqx1 UnIYi6GQ+Gj42eeITiTrZfUvJjY7FmbZ+KQTdo9tU/dEU7gmnZfCTuiEvLFW QMxTChO7Jx+f8rYTNS8U7s18TOKdHs/ZwerE1XU75nqGU2Td1zzay+lEPHNl yIm75Dy5WmN28HcnbF5JyLmFUfBb+DfBa6ATprU0N9vbZH+e2Ox8T4qNBXuG NsjeovBHwGQ0G7Bh/mZUfyiAQv6x8PIda9gwPBTm/MafwpXWTa9K17Nx/tV6 nUOXyP4viPF6bc7G7DnzDhWdJ/F19sCY/0E2yn08Qi18KDwdaFFdGMzGipgc 1+Jj5Lx2vTkeFcbG4zP/fNa7kXj+vrpzxkM2xuUdZxS4UqjMiUgWxLBxr5NP SzhC8pX3HqMvOWwcGJzo2nuAwrb+WltvJhsnvrSum2FNQfFIwFqqm43wkN53 tlYUGA266gd/s1HXPvYhagcF38zbXVsH2WA9jnVQtiDxd2q7t6pMFzq32r8i 0Y6h3orwsjVd+HrC7yLbgKzH73c1sne7sPpplJjRTAonH+/SOvGwC1smHw9T kaVgZNZ16VNUF3y9pfOHZMj5FSO93D+hC0VZs9qTp5Lv3e0Y/uttF7wkxI53 T5D6q2Bob0VXFwQ2zkFve7hou76CfmFdNzQ8XFZ9/8RFvMGn1c2bujEUky+9 /SMXnnSHuwZm3fAtVLxUROoxMaMroKy7seC2ydKHpF7T+V0XZ+vaDS+VTZ/m ZHHhu9vTTT+8G6La6umhz7iQnZvE6+7uxq/5Vm40Ly5M9l2nd/3qhluZmJYK qSe9ww99Yfd1Y0l2Wf9udy5axFWSWMJuuKz4UlnozMVzbrATbToH99N9HN3t udDLPFH7bRUH/Wua/NeZcLHTVC+1/AaHrOPFxRlyXNw5nuf2YiEX5ZER9jNe cfDbJC1YZin57hGJWPN4DixUXqac1edi7mXNFP/nHEyqiuizInWw99l98sxI Di4s9D07vIs8x+OMdcAtDtyYK2/uIXVt/Lk3PfPdOdhsl/lychMXwy6TTeQX kf7BJLXbPZCC/PrLg3LRZJ5WVuQqf/yJ+otV670CusBMr7jdqPkbKzU/H/BY zsboie/Pllz8A8u/Lqkfu1iwXfPffb3APyh7rX5zPpOFN+Lcm4Y3/kAwL2lX YDsLTlGCMxvv/sFGC3bdlkYWPnxS22YT/wfhZyIPskvIuTH/yMD5mj+4xrLM C33KgmJLr9VntR7cdfo38HYvOYfizm6p1ejBfrvQTS67WKjwFBk1LezBb4mB CzMtSR6TkNei6fXASWwu5UPOkTaDVcO8LT348E9w5RA5h2JvX3w526MH/fGH OQ1yLCzbPHXC7V0POsaWdKY+J3VESuqiH2U9CKiL/bCKnPOrlHbbbK/swfcb +4WVYUxsoKISlzX24EGg7LupAUxYhy215HN7UJXy5PvYASa823ZGXVDoxdXd 01ZUzWGi8EzEyjvHe6FWOqfBPYH00x1rD46f7IXS1ScRptEMlJvRg0769mLb +fBlS0mdVTNbp213YC/2rtNQn3OLAdr7gsBZj3qxKLRK/q4HA2LSHV+fl/Ui rnCl3ec1DFjEax7Lmt2Htpi71tNa6VgVJatTqd6HraEhjxiNdMy/O9rdrtmH gIubZ5R9JXXphWbnybp9sDY2/JBUTkeaTYiTvUkfvk48eSSTQYeieL/duHsf TmasO6kfSoeYgK6kcLIP0xMYp2qD6Ojpqfmm49OHWU/OHjp/lY7KH4k2uwP6 YP+fxKrB83RcyHTYmXC/Dx4Py2i33elgHioz217UB4327DlrdtDx1S5Nwqm0 D2IrNH8kmdPx1vJpuXdFH6j+7gWLTOl4YORrEl3XhyelG25Zb6Bjq9ziDTx2 H8Ks8i5v1qdj5ZRZoxI/+8D9ZBQ/X5fUxaPiRSq9ffi2yj5qxhI6hNwOoy2C PvhsnKUur0VHakm44SMZHpZtSrMvnU1HVK7/39czefh9cgE1YxYdN1KOZ5XM 4uGb6tSgEwp0OEWa6v/UILb3nmo9gw75k4Kl61fx8CfVjlEiQceES/evXet4 CFz54cllcTp+OzYmu27iwdQgMdJKREPF1lSdu9t4COtJ8lAcpeHc3EMLOg/y cGgkWG3nPxqcdxvsox3hYTur8FhwPw3W18VDW914WDo5614jjwadXwn9tad5 +OipdSushwYFdT/taj8eRIOsg2J/aBi3NnesuMhD1exf867+ouF77s+yohs8 9J5hnn3DpaGMKhzICyHff31Y0Z5DQ6ra7cVZd3mgvc1Lleum4dqV5feSonjw 9PndmtJJw8mciY/xMTxUMP28w1g0OHLrBTHxPNxUq1a8zKTBwMr7UMQbHlT+ HfMLodOgHmj6MDyLh9mHUo0TaTRMzVaqCs3nIU711czaDhr+dnNGgt7xMDH3 0rAEMWN2gd7VMh72lS4RbGunoWZHsLP/Jx52x4TJRLfRkBfgGHmuhrzvidPa 8R80vMhcWuNdz0NtrUGgJ/GdrtFxr+9kfq77dv5qpeG8cu2K42085Cw5e9iP 2GX786OuDB60bZzGZYmt/U89OdTFw7b4FYX5pG8zzjCp3f+TB722hghPYh22 vPi+Xh4MyoT3DIjlZ3WtsvnLQ+GyLemTiMcsct2tBDxwhjR72c00/LwYFG0x xkOH2K+djcS/9y1zjxPjQ2lZRUMt8WG+4iQNCT6sHYr9fhC3hIw9i57Ch6Nn /oZ+Ykstzmo1KT7eW/loq5DnlxXX1j+W5pP+PFx/J/GaffnHZ83gY7Na0P57 /+szec8lHsrx4f8n6WUn8YKQWzEzFfiQd1gyczMZX9SC00Z3lfgQeSs/SSeW LXZolJnNh/tRBywl83XDbrNHiCofmb654rnEw31LpkxV5yN82leGJZnvk8EK sTfm8fG9QL25n7hbc3TtJE0++szFul6S9Wmw/eo5rs0H6/CqTWvJ+pr35Upe WszHzuagW8pk/YtvxbwQLuXjqJInaxKDhqSik9//6fMBiTMFU0j8qNvanzyz ko+CAR8DdRJfD3ohxVvFh5XN93QTNg2X58tv+L2Oj2EffkYOiceBwuHmYxv4 2J7gpzuJxO+JvexTnE182Bj+iXOiaLC7mZPAMuUjgFZwfPNvGnR77GRad/JR ilcS6Xwa3tpalYbu5kP/ebb9g780mL7f4rNpLx/n7skIbw7QsP+ufsdLBz74 46sk44Q0hBhMS/V14eN3g1TKY7J/lZ6InBa78WFn4pEzTvb3C/EhBZo7Hw7X fZt9JEl+amJfND3JB/Vjhfk9GTq4vsU7FC7woVu6TSJEmQ5vevbEp0t8bLRX GTupSsf41tfZFy7zERRuX+eqTp4/O1Kt8zofbWn6tMAFdJgWnvqdcZePlYPd z71JPnsxviB0ZyIfEjpJm7ZY0aHrprpJPImPtWI2BzR301FQJ/c39zWZ37qB LDlbOupixxzVM/i4Jgxnqh4k79vcsuRPIR/TPGYNsD3p2H8zpDq4no+De2o3 b7xPvrcvMGBDEx/CBydspSPpOGN/dgX/Ox+e73t/cJ7SEbzY5Yl9Ox9yvkFi nxPpyK/ZcFyHw0fXKTcTo0JyHsjxpSpG+Ijd5l2Z201H0/vQW9vH+egvrM4T +03ytae2ZL2Ij9W3xjwdeHQo1OyXaJ/cj59UkGjpCHHQp3GebD9ix4y2HZjJ wMzRp3/naPUjwz6okLaJgenUVpqPZT+a08Nuiycy8PURa//wzn74xbRIvElh 4I7ZpbbLu/uhmW5y7XAWAzLxmS0hdv04V1ZiS5UwIP3fnMbYQ/1QWGeWeKKd Aalv/E9ffPqxeXLiEWNFJiaXPsvQiu6HLc09Lpz08e0bzLYxn/fjaZbXjskR TGQU9bCexvVDyqzN5Vo0E/vzNyooJPVj0b51EU/TmMhKY/qKZfejMac+dm0D E07RWsb0qn4UyX+5cEeGhbcXUisi//XDSXx4oYcd6XNXvWubZvkXIU4Gro1/ WUjd7vyiZOgv8hd71+7awMbgH7WZ3Mh/CL/AGbE/1YW8vRYSEWYDMN3x8cKK hG4EW74NUrcYQEXT8iluSd04aLpE6uX2AfBKR1dEpXZjkqHMjHzrAfwn9/Ho YE43rBXqlX84DODCN6f+BxXd+Nmwb6m61wAeHbl5y4HTDTVrN5vERwPYU91p P7GQg8BtQbG53AG8fXbqnWU0B01O7gcNfg3g4vbYl5WxHCz0s1R982cA5TPT fmxK4KAmTv5hAn8AnyQZSotSOFAajbn5YGQAX57VVrYUcJCclu91WnYQDtJL FmU3cdCg8HO97ppBBD+cZrVHkosFS74Ik9YOwumxjrvvNC78kJ6ntX4QNTqC jIfTuVDz9NWfYzKIhD39pdUKXLh+EtOS3jEIlYdv6hQ1uBCeU5X++d8gWo6a qWsYcaFJ3/EjIWgQgl9vCmSPchFavj7DLngQZk/+BMqTevtvku7NqbcHEWPW ypxJ6vFyb9lVHvcG0Zkw5Pq/+11Xqabwlc8GsehUy/lP/lwkGzpafMgcxL/B FL+4h6QeDz2Wz+gYhFjnWEtlCReRpxzC7jEGcc1wneDABy5Etttdt3QOQm/6 wKte0k80aCxTeMUdxLBWZK5kNRdn8vq8vPoHsfkRdVPuGxe5LD/tMckhGLXq TfLncmFsdCNCdeUQju0telwmTfpzZ9U1MauGoGukSi+fTsHnbnrrfKMhpDxw 1S4n/dAbzg+1xRuG8HrHntICBQrzIpbHrTEfgubsGvVANQqT+lvS9u4fwmpH hcTLSyjSty+pCrs2hK7Qj1ZbtlJwbylxlw8awkB8iSXHnMLkSbbSj24NgTnD yjZoG4VNjpd3Rt8ZwgebldeLLSlkTv32LSVyCO+n/Dw0dQ+FCFd/VlXKEFTm 7bCTc6JwcF79sPg38veto3a/Sf8pq+qd9655CIVBClt3+FH4oDjrjN+PIezN eVTx6iwFnWkHfv6kD6G4P/Gs3QUKvH/clvqfQ+iM8sgJuUz67+qJnJiJIRhU Xx/cGUxhVUXcKXtxAT6rP9Y8F0I6yBKzZfKTBQhzdOdEh1Kwyg2NvzFNgGO9 i9cw7lCYFat830NJgC3aftPW3qeQ7Kt3ct1SAZ6Y/WBve0Jh/6nGJf90BZCR N65YT/r7GSd8OW/0BVgvlN267BkF70NFB+evFiCqfOoisRgK63eYW041EYD+ YvDC1RcU+sx+SX7YIsAfiwxXxzgKL3Cn/OJWAR5If/m7PJ7M5+qmdX07BHA/ u2D0awKFOg2nxc12AgQdWVTDJh3wFTXx7rsOAgTnVtFjkygYzkqM3XZAgP47 JVGOyRSipH8rFx8W4MZ/KZIfX1NwHvSbkuAhgDJvT4PXGwpKfJUPB08KoNUc qDszjULV73f+ymcEOOEkMMwg1mWJD4ScFaByYal5VzqFwZow9umrAjB/ng/R yqJAk2l2H7suwKFJ607EE5dbqfNu3RSAsYXhNi+bwr26lNHntwV4X3gqb0YO haVNVUq1jwT4MvdLdnUuhZmKcs8cogSYTTUGrMijINi7T7P7KRnPyM9jkcQV zd3LR2MFELi1P7XPp+DUJm6xJIWs166ymwUFFMzUttfmvhHAM9rETuothWUH 7u01yRBgymf+1n3EQtq8w/a5Aog7e5K+ngJjrhuXnS/AKunxn3qFFD45pXme LBTgufg2tzPED1jrLwSVCFB+J6K2l/i85nXRzA8C0sM7vl1UROGQc01Q9EcB 5IucPjsRmyfIT19cKcCHvCkTD4h1ux0e5HwW4BIr3bGCWEH7hQq+CGB9t6jj L/HwUep5Ta0AjlXBN+a9o1BJ+aV2Ngmw8dwfSy/iN4vfr/BqFuCe3yaPe8QP j09+K2wVADKN2ZnEF1MsN91oJ+PJENf6333u4T8PKuToAoxf0yv+SWyu277j GVMAt715l8WKKSz30mzUYQsw/dG/E7OIldLd7bO7yXy6mF9dRDzSl0HfSJHx XJMuX0PM0he4VP8SIN8uevn/7lerTm/6bdtD1venfYUVcXpW0GlWnwA7OVE3 9xJH/P065NEvwJyoIt//3d9eMlQKEPwTIODP7PD/3e86+x6QuD4kQPsxmZZ9 xNvy4kNkhwWYtpK3fc//7neHfsk9HRWgb9rcPzuIlY1WRGpPCLBye1+hCfHY ufPqWWJCCDrf5RsSd70tjd8gIcTd/xidWsQ1w5JLPk8RYlFH2vr/3e9mGltn 7JUS4o7stYpRMh+PLz1azZQWgr4p27+L+HIx7d2JGUJYbX3k+pnYdVxry5Cc EI23r/qnEO/Y5PH5qoIQ4tNrK0KIVwRmW8+YJUTKztqNbsQqZcPfo2YLUXa0 lfrfffyE2OYDC9WEEA3gozJx9+bgzgx1Iap1DjT8Juv95Vr9sfUaQtAy/OWK iaMmO/nuWSjEyy0a2vuIJ1xmr27UEaI3UDB7PrHrx4bBXUuE2IB+R4rEn8E1 03M79YQocr701Ys4snPM6KuBEO3ZCeO6xGMm+cIdhkJ82D838H/x/Vm0+OK2 tUIcO63vu59Y7xDbuMpYiKNyB3/KEkeUPBvdulGIaLdJ6WVk/xwOkA0w3SIE x4Gpp04sGPkXuMmKfE9ErmwO2X8H96eZvLcWYubjO8p7iMsL3cQ32Aix9PVs 7z6yf++eb7u2bp8QErL7tTWIdYZKglYdFmLObOH1w2T/37E7b57jLIS9+3eD 3yQ//M1dMXXlUSFyN/gbniEu8UkM1j8hxP5zBuvPZVLY1x9ye6mvEN+C1A64 kHxTvNvU6vVZIQalzd+3kny0IHNs+uILQrimrTy3nbjv5Km72peFMLTDv4Uk nwX12N6fHyyEe98jhWKS73IpjcfK0UIkGVRoeCRSULNos3/0XIjLM3+r5JF8 euXVAxWlOCHGV1h5jZF8a3V0ylP5V0I8C7q7+DrJx93s39HTM4Xo+ezed/o5 BUVGXvykCjIftzeyah+T8U8PCCioFOKz866b7ZEUpNebOXhWk/c/9FfsfkTO z6imGS11Qpw9+q+r9yEZvw3v/Os2ISqZL51p4RQaPi3etZtH5u/29YmFt8j7 B3hLpvwl6zdDTFfsJlnPBQWTiwaEMJbYbfrjBoXSwK1FWiNCSGsN6gdeI/tx nbO2YPIwuKOcyckBZL7Tno3GqA1j3eGL+UfJ+SlFc27ZM3cYza/Mw+W8KdyQ Xpo1df4w7ig+3pt/muzXY2/dzmgP41SUdOyIF4UTms2NZgbDcNn8a4uTO9mv j2ST/2wdhlq94ef7BylMCbhqu+7MMJQct7S93kLmt79nuNRnGLnh01JlN5P4 dXOINT87jPG8kdrTIPl7l/7vvZeGIbtOZeryDeT9C+iBJ4OGIeFtZBa0mpxv n9emJjwZxiAzqCV3EZkvRb64bPkwdI0PhMqR+iX71oGkiIph+A2aWs+TIvlk rNJqTtUw6JftDi2VJPHIiXm8+Osw5jvouhtPIuf9W8vlpi3DcKeNyRqPcCHu lORw/vcwDo3OuVLwiwux104ZbIURHF9SvOx1JReVPa0nY2eN4Eun6gKDCi7u GNjoHVQZQc50664cUo/Nfmua1jx3BKtnBFRkFZP6rWpx6ufFIzB+7zF4M5uL g5y/r9I3jSDF3ScpMoaLQs1bzy+eGIFusGa0BakHLx8VczLyGkGcssqA20ku zF5fmDtwagT5l0OnXCf1Y4OBZ7SX3wg+vjDak0XqzZ+weXr4ygig8zCQ68iF stOcSPPIEVR0h4Vmb+bC+2lGmEL5CMzHfv37IstFwdjTW+UVI5h8+oLXPRku xpxuXvWuGsFf+32vbKS4uKX1n1/T1xFcH3PfUyPORfQb6f8etI7g7uCtixED HHwqOaqr0DuCNX1/jG63caDSNeeLvMooDm4qsRt9wcH7ZcFS8idHoaNkYvJS m4M132fXPjg9iv0z15i2anKQ6Z90X8lnFAbMcT3JeRzE11aqqZwfxcYK3rv9 yhwEn5qyXOPaKIo/bb/FkORgT841m+WRo7Dc3FK0i+oGZRzwdHvJKF7MlvxQ 97Ib8ju8da/JjsFDbu9sSqUbLz7IyRjLj8HQipfQpdgNg3Vpv/oVx0Cr01Si yZL+ZPHPV0dUx2CmWB9RNrkboZJOmpsXjuF54ruv9vwuTP64XVnMeAxh7MqM 4souDK3XFLt8dAxbt/fWWZ7uAm15w7cLxWPQOByV9imPjdg/8gESpWPw2p4u JpPJhvPrvTphH8ZwOUZeZJnCxq+FredfVI6h4/IiXtlzNobmMOZWNYxh4fHU VWdvsSEv3XNMiTOGOUe8RqUd2DDnTh1LnzEOi9dZnLLBTmQ+x8Jup3F4eDbJ Oy7oxL+L/6YeOTKOJWtUC0LmdGKNfdIfuss4cj69k8pT6sQ7ObmcVvdxxAWX R41KdqLyCmPzF+9xNBy1LrH4w0KHc8Ch7JvjOHs2NLAlmwXJRe+eXkkfxys1 7wMxG1nYLnHq8njmOJgx38OU17Bwh7nA+WLOOMyXnw4J0WNBPip0ie/bcbiN fSg6qMGC+rT9b4+Vj8N33sdZBWIsrPwjbLZuGUdE+oLCYzeY+C9jjfzciXEc l4KF4hUG8vcLZRvEJlA5/K+U68WArGTR9OsSE6Q/n5eYfICBsoMbpX5JTaBX Ss9QsIaBBdJmolzFCSywUfv3rocOrqtNr9WSCexNdX1XaUvHSTXPan/bCUiK LZhBn0VD5aflVfr2EwhdHSqzTpwGjTO8CrbjBPIkb8Zd7ulAQ5V32bZDE1BY WFz/qbwDK/0uFCidmMCod0fyppMdENTffPkmcAJvPprPTi1rx5WguKu0lAnM yLocUWbThhnnpu44kjaBE44bjp5f34an7l4K3IwJbFq+OXuWdhtyLNcl8HIn EKK/L1kk+AGufGPFpNIJtLyvkwmJ/gHL52JSS75NwHCVq8pyViuUCw7d9Rud ALWi4tC6XS1ISP60b2R8AmIPDPuGV7XA4OkyjUAxEX6IuuoeqrVge4AgI3iK CMruZf/ZcJrhbxre+ExOhAPHlb90nW8Gu75EqVxLhPehG/PaHn9H2s+5z2St RKi5d+Ld84wmBMcEHWZYiyDtKt964HYTXPf0aqfbiBDqtCup0q0J6sXFmTvt Rfj6MyE5Rr0JoeEHKu84i/CWZfmf8o1GuK950i99QQSW432RpEkDzP6IFbRf EuGh3tUH12c1QOOFu3/KZRHsLj+lT26uR8u0tVN33BAh8bvD817temylt6iH hIsgI7Hx5tmiWiy4obRt6isR1mo4PTiSWIOJtf4zWpPJ+5V3a0Qa16Ctt6vp VaoIq0NkXMfqqnHPPuc/8ywRaKtbX4v9/QzR0j0+QcUiaD04098xtwrtzMK1 dqUipBTHST2Lr0R+hObEwnIRnKSU+bcXVuLkBD+4okoE9R8WjHUan0BrDH8u 8U0ENUP+m8Kf5Xh7U+DyrVmEBc/2BU7fXY6I9YeWJPwQQbPT6rBS9gdYvtTL 3cIQIWDanbAOlzLo7I+8oNApQmz09jxd11JMkpvYxO4SIWs4vaKB9x5F52ur r/4SYb7subePqosQuXx1uE2PCMvmJd8RyRXiDDvaVpMnQrx/hr7p6gJYPZ6s 1t9P/i4s25VpkIfFVp7MsgERGuIbcvoHsjFZ/HviPYEIB8/RciI9MsHKW3/i 8IgI664MniprTEHxiQR9g3ERQnyDmZWCeDzWkBkUiUT4//8v/j/Bfe3c "]]}, "Charting`Private`Tag$7109#1"]}}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> Rational[1, 3], Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"\!\(\*SubscriptBox[\(E\), \(c\)]\)", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {0., 0.753828232188389}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.7713451423582706`*^9, 3.771345243039317*^9}, { 3.7713452873125143`*^9, 3.7713453424660683`*^9}, {3.77134599352704*^9, 3.771346000363168*^9}, 3.771346059117455*^9, 3.7713461185991697`*^9, { 3.771346198939508*^9, 3.77134621521343*^9}, {3.771565224908457*^9, 3.771565248550221*^9}, {3.771565413840457*^9, 3.771565487224943*^9}}, CellLabel->"Out[26]=",ExpressionUUID->"bad64102-49e4-4124-a54c-ead6ae18fea1"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"gmin", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "2", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", RowBox[{"1", "/", "3"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "8"], RowBox[{ RowBox[{"Coef", "\[LeftDoubleBracket]", RowBox[{"k", "+", "1"}], "\[RightDoubleBracket]"}], FractionBox[ SuperscriptBox["u", "k"], RowBox[{"k", "!"}]]}]}], "/.", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "-", SubscriptBox["n", "1"]}]}]}], "/.", RowBox[{"u", "\[Rule]", FractionBox["U", RowBox[{"2", "t"}]]}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "2", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.7715652819263077`*^9, 3.771565286614294*^9}}, CellLabel->"In[16]:=",ExpressionUUID->"865e2d14-0653-47d1-93d0-3d966a0ecae9"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV2Hk8VF0YB3BLyRYRiZRKm0K0aFM/oRRJlvYiUtKikpRKUmhDu2QLSdkJ CRXZ10T2nRkzc4UZy4yd97z/8Pl+5s7cc895znOe5y6xuWx2RoCPj+8b+fP/ /8CouVJMeT6wWnQqaOL3MENP4UqbvD5W2GbsOtAXhvXv/YOS5S0QHsToe3Es Clc0JM18Ik5AKCfqab9uPDz1bEpeNtqi1fmI75qdX7DMe+HHaSV7KCbOli8Q TsGE4em31iscIP5a0O90fyqeFrz8t9n5KmRvSl+oC0rDYdvhHy/lnTA/kXfE xCIdeXoKablBzii5yvz1qDkDGsrbE4eUXKAWtynFzOQ7ggRORS3/cBth8zyH KhJ+IEp5Z7Ga0F18rzztMMT+Ccstdk/OP7wHq2LdZLut2QhdOzPtSqQ7zp/e OeNEXjZWZHMLhuruY6qm5u5Zs19oWftQz0feA2e37POYQ/uF6qVvZlcreOJQ /zYpD/McGEpGa/8M8oKB3DWz9cM54HPbln6o9SHSdUL+nb2di3lxEpLzdR7j rfOLo8XCebhoafnlofUTPDmsOe7tkoelv9nqiz88hbfVloTxwTx8tmzfEVHt jaGZjdbxZ/LhGye9ynSFL/pUKj+8as/HroUREZTdMwzIZFrKmBfgbkHAnF8W zzG55BhDJ7cAR+/S9vtwn6PDJ+PlVs1CbNBS9Tnq9wLBgwMPFwcXQrLPqXT5 ppfY+NJQQ2JWERQ8LZ2FWC/BF75v8oJLEfJPCu35efMVbO/4fj1TU4Rztjoq UZqv0Ra+KKtvTzFul7/NO5TxGowRIStuUDEOebYLKB9/g6H4YfXTU8XQ3K6y kz3+BuvSproOWZZAnHvVLTPID9UZMnvav5eAGZvx4+H2t3jREbFdQqEUx6rN 11ky3kLk2lSR661SBCvu27rYzR++e5a+9flTijn6XfG8le8wJCYdcE69DObe LV+/Zb9DR9j29M33y6Cuv4LrYR2A4bDBqmMNZRCZcFhvKhCI7c3Hq+zWloOe nHZ14YdARK+6ftveoxxZF/gSKb0gOOx8d+tcfTnWvXq3LLsnCFePi97zWfsb zk0vVO97BiOj26bOzfU3TF81nt+/IgQVA4bxn37/hqqRcpRCYQgmBOw5/xZV QFjwIpNh9x4rX4YZmDtUwCp9KinLIhQ+aV4BZjP/QFblufoRvzDkWsi5jwf9 gbtw8srH8hGwTgq+VZpZidUGLx59uRKB8O77F5d1VKLK8zLVVBiBeIFdISuF qrBMUDVG3fkj1m92KdtgUoWCyQj16qpICKyLsgxpqYL4oN9GJe8owLunT673 L/xbbumlTpF917jkiX1bDXYqHo1oPZgA0xKRicaJGjREX088nZQAzbg+m1cL alFSJpo8XyARD4xtjq3fVItFPS6n49QSob3+SPkCi1pcttdazteciMuHNZ8L F9RC2jbh88fNX+ATE1mlHl6HI0fDEjj9KTgcGbJxOxrAbrIQDVdIhabLed2D hxrgZSl8xlwvFSm7+0rNLjUg+fRlha+vU9GsuV1qOqABEg7bPW9v+orlMkGr l3EbkH+/4ZiQaxouzt8vUh/RiHWxUkKKwhnYZBi39NJgE8Sm3U8YLMqCqsS/ wYlDrfC3P2ypujsL5vF1Mz6fa8WyatVTUg5Z+Fp+QUH/Vit2RNWdbvqRhaT9 NWkmwa1Ij/JLTVPPRpJ7ybm0zlb0mvd8N/qdDc1q1wUt59tw8PPb0muzc5As IMF7urkdy037WLlP83BcREAlQrUDCm4GW+3C8hB+ZaTfa0MH5sSFPhVNy8Nb yRMvTmt3YEzYXN20Mw+hp0Kuie7rwJ/stGutm/MxYsgNl7zQgVsa7lMjXfmY f+ii+dSnDvyWlJFR1ylEaLzejZCFnbjxewv8h4qRJz9QqzvaCbkUqVZ+/grU +htOVtjQ8bVTr6xCuwqxLvLNwfFdyDkfvOBoTzXalf+6c7IZSKYuXLDkVUPz m5Otfx4DEee2Zp7mq8H7xPkt24sY8Dxbd8xBpgZJZz1fu1cwsMdGKuCBdg0e LnHa3NPCQMVRz/nx3jVQcd+3wWSMgeY9l2QF1Wpx9FdXipkmE9wV2yXjLtUh TEo52t2fiR2duoVPbtZhpFC3tD6QCa/gPW7nHtSBvoZ3WO09E/NkLNjK7+rw KLgl7fdHJrT4L1QE5NVBLaMsZuALEzeb/J89WlCPY231GtllTEw8G5K0La7H cm/7vzemmBAYjZmzYHkjQoP35XgdY2FBue4g1jYCNQFbpE6ysCGsocZ2SyOW K/4NfmfFwpm9swLjjRvB8ly9NsKWhaJ3Nst1nRtR/c7eI9SBhWdb5bfaFzZi Yc49B637LCje8TqdZt+Ey+l9hY2fWNh4YOHu5mtNMI9c0KQczcL+ZSmr+O82 QbFX5d/5WBbcyjp6DV82YSTph+BgIgudittvtmY0YeebM8r/0lmI+jHoPVO8 GYb/Kt1ul7KgNX3qq3l8M8waf0Qq9bKwzzj7/q5vzYgetmQvYrNwOlDJZFNO M54f6zio2M/C802tTIXaZmjxxl2luCxQl4/Ld042wyTiiX7XBAtB7QfvXDFu QUaR2+g6cQr8OYa6Pj0t+N4686S9CoX5c6Il3HgtUBOtElNbQ0HdUqTpCl8r 3IeUaX2qFI6NFV6zkGnFqJev+CUNCinrdn1coN2KH2eazcw3UTj7AcLRT1tR NdzQV6hPocxjw++C1W24U8A4am5JYatkqcCLjW3YGviRb8qKwud31puO67Th 3etyr0hrCg/ifUPZB9sgefv9un5bcn09y3G+exss9RWkLl0g168Jljtf1wbp hCXq0zco6FL3E4V023HDPXDA9xkFF/XfJRcM2jHnQqgC7zmFxGvyXX/2tWP1 ft01x19SWDSVIB94uB3f0q1nKb2hMCrdcn/tpXZsPiD7xSeAXK+96eAR/3Z4 3xiYNesjBaXn/0aj+tqh0XzA7MI3Cj+t3aK+DLZjFmvC9U46Bcv1c49mjrTj snRdy9MMCkG1W7+VCXQgLSBj68fvZD4XPnFmz+vAkkvxl3KyKUhHrxrcgA4c rvrZGFlEIen29/Dt+h1QLOUeDyymcMD4gNnuvR2QCi2e61tC4RnnRtJh8w6s yaxf6VBGQXxT4eVbdh2opbt0zf9DYWbemZ6sZx0InRyunl9HIeLNaGDR6w5s jznyh0Osb+djVPmuAwsNb8worKdwXzQ1uvNDB37cuSjn0Ehh6sAM+5nfOmDU +O5fZAuFkZbwLsP2DiTf0bDLpVF4m6D1xryrAwGPIibu0ilouZfon+juwGV2 fNnmLgrXlw18uDTUAeNrg4qfGBQGzu+0eS7cCVnN5e4OFIV/w22tNRqdcGCG OXzuo/DV7lmOoVYnHu+Sn3mQTeFe3Y7IrG2dUHeLfzRNPC8t+FLU7k7skfp8 eH8/WV/n4xN3TnRCon1c7u8ghdkM0fZ+607MinqkcHmIQv3BjNyzdp2wKZMV E+FScNgo//SAYyes1wV91eJRCBiqlV/2qBP2KzdudRmhcMbWa9LfpxOpX8IT ZoxS0Kje2DH7VScGH7bO9SUuSH79eTi4EwtXLI0KGKPQ72i2qTS5E996LosE TlDY019u4dhGxr+AnrKZrxtzrV03M+mdKGKOLvlA3PpHVfFEdyfizXXcxPi7 4ZT4lLaL24nynDjRWuL3l/c6yovRUCWrbGcm2I3zbSMHfefQoNVRdziWeIPJ 5y2C82g402K+ZcaMbpSoz+LvXUzDjSLm7zhiXm/es2wtGp4sstzNmtmNXyed rm3UpiGGrZqlKdQN73Llw9E7aZAz3qviQrw07v6i1/toJG9EVfLP6kav4joB ETMa3GPF5ugRf/Pu6HI9TMMi6VHcJza+qBNnZ0PDp54EpzHi+c3s5812NGia +bmsF+5Gp9F7J9NLNHwM3XnlPPHNNVPbtt0k43dZtL6KWC8wTinRlQaa9oVp AZFuSIidFFz+gIaBk8k/NIkjujNLJHxp0GfZz3lM7PDWRPn8KxpSnZL/JRJv 0qfdzvenoWzHlrJaYr5+5+rFITQI9Ap9GSMuCRZVu/OBBreRlcGKot14bRji WfeZhl9xn3y0iS2HNVvXxdOgo/biwTHi/gNHn1HfaEjcUO72nDhjsoep/5OG sys3en0m9oi+pxOaS8PWTM2XP4n3H5Z5N15Ew80d5R+qiOfP+Nx/6DcNF+qk MunEnYnbDL/8pUHEU6R+iDjmZEX47AYyX0o/xwTEyHqLnh4/10rW4+gWZUni HWk88zwaDdrZHqbyxMK2T2KVKBqmM6M8lxBXzVk083YfDYUvkrJWEgf9SDpZ O0iDxemP02uIz5zf9VVzlNxPw3eXOrG6XIOEzxQNkTVOL/73SO5FO5YgHeJS NjRV4pwrfNl6InQM37XcpkLsvfD1/PcSdGQHOb5TJj5UsvLq2Fw6FhdHTi4g VrqRWXxQno4BfcFz0sQsZZOlSYvo4NvwvF6I+Mufzlviy+j4EXzQZJQ87x1X 5792KnQscDheRhHvXi2qmqtOh7lzlEk98Zy6YI9FG+iIvWTQkEfc8ECzxWUL HRYD2vYJxOEa+RtrdtCx4smL6bfEF1uO+Gro0+H5YV/QXWKtJz2Mp3vpUPO7 jtPEfJvugbmfDpGIudQu4hLaXH9dC/K8Y2rvVhC/ev6JE3yUjtlJpSYziVd0 /w6zsKVDYHfcn+8kXjh+NmMJ9nS0jEwFvCHO0OOZiV2mY+839oWLxMbBC2fk uNDhYF68RIbY6cDFs2uf0fE4fl6rEYnnHZPTP5+8pkO/T6FVhnhW9Cs5xjs6 FBsH6E1kfwQIZhYFRdChrLtpli3xr68ia0Qz6PAqzA05Qfbfk9PBD85k0bFs oVytLLHFHM3m7Dw6XiVdkSkn+5dlf8TnRgVZny8mkRuJJRZ+YtPpdDgZXFJi k3ygc+hBC42iI/Fxu1MIseMzq9LOPvJ9G8O5+4hr+ed/ah+hIz553ppwgW6E MB5ZNot34bXf8sItJN/8UTqzr0mqCwarO2ybSH4SOLpza+O8LgjyfhjdJj5b Oipbv7gLcSf6h1KnyXmfeL7874Yu8GW0pM6bonCK2p1ZtaULX8V2BkdPUni5 VDmqckcXHrkPlmsT8143eVTs6cJVVUuxEyQ//nTZp116ogva4aM8T5I/jfXU Y3I8umDlJPv2IcnHd++Ivvv1uAtVxTfm8REnpjK8sn27EHDSr82Z5G+ZVe9t fvp3Iat2pYkVye/N4nMUMmK7wElwj1gwQOFibf+jpOoueBcUr9XtpeBtn3o2 dBkDJ9ZmzjHopNCtE/dIbDUD+748j7/ZQcFg/sdo57UMfGu8avi5nYJA4eu+ fVsZUDeJuMPfRuqFZU7OoyYMLJw9XRbYROqXtnVeZrcZqP+Tp3GlmsLOg4kf Z1QxUL78VYZ/HoUQ1c+Fl+sY+BPcvOdJLoUJwVCqsZkBwxdh9S45FL59eaaW xCSu3jRpRs579TmXU09OMqBiMGLZm0mRc14t/+sqJmS/RUbnfCHzpxNDP+fG xPgWpVxOCIXvEf8Cb3gwcWZ05pr0YHJeC6uaez1mQimV2eQWREHiT+yvD6+Y eLzHQ16Y1CsrrOJDWj8xsdY7WXQGqWcOuSYdsfjDhKowZyLqCYXU9LQyLGEB F18vTHSicGvhyIP9K1hIb9m+WvcaBR33zdtOrmFhedfBx1VXSb22Jz3q1kYW 6dOO6vQ5UKDXZXil7mXBbGlmkJQ9WR/eD501jiyk3Iy8KHySgtO6vJR5uSzo znyZnK5H5m/D4tAXRSw8qLrQMLiTwhGtO0/Ff7Pw28ZAXlWHwratG2wEGlhY RKl2+2mT9dCNkOzrI+Nb+ZB5cCOpd0w9zucrUGA/2i19awWF6Cv6i50cSRzk 6oxYz6LQFp/3tHJJN06VyjOHyH3Hz1cHqtz6h54sg9J76iys2Tlr6mxmD/Tb dZuekf4iMTpmZX12D/4ZugqK+jGxQeaA6d6CHvjoxrA9yDxqM/0j1lT2QFbe YrOrLxP7fVYbcRg9EKBP+d4k6+DYYOzvIt2LFqewn+FXmEi/+nqdt30v/Jz2 Gs42JP1L0+YTkw696DG1Nko2YCJHv8XTwakXSQOZVsd3MVEit6LhgFsv/kkP 9yfpMNH8I81N9k0vZp5aLXlrExN8ok1lIdm9yG6K5HdfzoRB+BK7JLk+ZNxy H8kVJOP1l1hRoNgHBQm7CAY/E4t9x+mNS/pQ5dz2UJyPiTGXGpsZqn24H6C1 1GaCgTjTx5aHdfrwMXGwZSOXgbn8/Qcnz/XhZFLhzsckLvmGW2SkHfrw3rA3 kt7FQE9Pyd8V1/qgXlrE06MzUFAfYXrAtQ9FFnMfSHQw4JJ4xPjDiz6wX7g9 qG5koM0qW39vRh/4po8lqpH+r+xgnKBlVh8ucR1oZeVknxkF5Djm9eH5yzPx V8oYeLnJSSfodx/yYbyxoJiBXZKrtNmdfdivRFOOJv3lupmy44KsPvwKPL3+ ci4Di8b5M+b39qGs0GDNlhwGRhhNm3SH+7BNJ2usKYuBmJ/P1r8RY5PzUmmx ZSYD/il3BqLmsFGxZuFtowwGOc/tk37KsqHzO154RzoDln56a1lKbNReOtu6 Lo0BKYfh1ds2sNHw8fOpE8kMTJ2mUyZb2Ljl+WG70xcGuo9WfrbdwUaTx9Fn L5IYyNsVs8J3DxsycYYJzQkM3FhotbTjBBtJXmmxqbEM2BzQONRszcbCk+HB kzEM7H/A/6TuLBunNy8UNCJeQX3oL7/ChmrFCT1eFAPSiteXF19n436Fh4oF 8eT+3UfzbrGhtUogMO0zA9UprOwMDzZsEro2PPvEQDYzfSj1MRv8hQfsBIlj FJ6uSvJl48uA/BbXSAbu31N7/smfPN/WxjL3jww4JE/lhgezYXXv7Ftx4qOM iuHgcDa2brklHRzBgMY+R6vXsWxINR1SqfjAgKKb3qtnSWyMCWiVXSGe9UWm 8MlXNlwOFKnNJx6gd415ZrLB4i40zQ9noFUuTd09mw2xg7JbbhKXGD6yuZPP Rn3MMZYGcarrUb8bJWzEFNhZs8MYCE1cXeJYwcbMbw8ik4m9aeOTl6qJ/XLS XYlvzivXtG8g8799ZrAx8em9IWdsW9koVRg1VSbef+fyOysaG2Ejco1ToQxs TdApP8Yi11d/0monXtEpxX+olw2l9IxzhcRSsrQNpgNsLHivfjWFeMIg5dy+ YTZmm8cd+ETMuuUZZDBBnt8mdlYocfehNefC+DjQEr/kF0J8ijNXQEmQg0Ht iYlw4trHE4FBMzmIeLxuWxyxkXLXRgVhDuZrpRz4QZz9vbzirSgHqujX/kus deirvexsDmwvLJ/uI45lhwi+kuTgg/URvznkeZY+fhg8R5qDn/kn+TcT+y+9 sslXhgOJ4zU7zhBLfD9SKSbHgaLaGmN/Yo+DOy88lueg7sfb1ZXEo30qM2cp cjBz6+IaSTLfDo+k33ss4kAj2c/Qgpi+ZHyzwBIOHlkFPAoh/mNRdnFyOQf3 Hhab65P13N2XInR7FQeHkzc1vSf+/jA4dGQ1B0by6Ur8JD4+ZThUD64l97M+ VlVNrGhx2OHqOg7elK3bYkDi6WUvhNkbOPAwe74/i/juYint7i0crH2q7ZRN 4nEofbTGTpuD+I8Ft/eSeD1v3nm5awcHruHGi+uJD3olf2jX48Ag5LeqEIl/ 1Z6DYnXGHCSvw68Isl++WezLenKAA7XVXrn2ZH/p/dC9tsOcA22RdWob4xg4 5ru26eMRDg49rpzXFs/AYw2RGKfTHNypaz98l+xfmXfTlqvOcpDv+SbmOtnf ofw86eZzZDwxDkuupZDfr+q8pefAgXj6KuN7XxlgOH03lHbhwKq12qeT5A/H li9T+bc5KJ25tEXkO9mfu6K+uNzlYHjnpkmtH+T35fwUOh5w4DCL8yCc5CO9 9MvdCb4c2IuPX/lB8lno5NInxhEcKCibPRwh+VH1rPwO/k8cPLj77daNSgbS fksOpERx0O3D7z5O6orf7yeOKiZwcD5k9SvpWnK/nbUq/9I5+Fd9yPY2qSuO eT0uflTBgekXSlu1m+RzSY5w3hgHsVHX5OKEmaj68eTh3kkyv3IHR1+IMvHy 4nKhimkO6rvUql3EmZAuOSbYOKMfJccD9prNIfbMn2RL9OPe81Kh5fOZmDMe MLBAuR9fCy7f30PqEnHmruZrRv2I7ki6CXK+zcgKTFAO6kei78hk40smLmzI bBAxGiDx7HC8n9QJMXttQn/yBlDs+GTXghIWNqgu2YHRAYgEeu5fUMbCT4n2 pqzxARjsLuRTIHXAn78n5X7xDULT4+zxuVUsDJ086psrOgjJItkcLqkLdjge uFO0aBB/jGVUb1Lk+oAdR6p2DyKSZiB0gZz/R10nuWZ7B3Gk6Gb+dhEKnVbf X/01GoRJ8k5hSTEKQ8u2VlQfGETDkzaZOAkK8gkbd9cdG4TI00aNOlkKNrmq G5odBpE168KXTmUK3H8Kcxh+g2AfcbKr3EHhdTCzMOjdIIyLWzb4kXplvUmK m3nQIExtVFcc1aVw9YsxOztsEFp8V6427KLQe/Pe78DYQRgMj7zJ3UehaybD 2zRnEEmFabe3H6NQo5Qk8qN3ENzAi/a5pN5yqnT9dY0zCNvdUw5G1ynMfWDo snpwEAdNt3pWOlMwZdBYb0cGwXtD66hzoVAeO6/IUXAINpl5JuVuFPK33PFa JT8EZbps+LGnpL4zNxB8rT+E3JN/AydCKTwy+uapaDCEHxfDlDTCKZzQUxH+ uHcIy63Eu60/kHprvdjsr/uHoOBDM83+SGG/dMW8+iND8PAasjsXTYH159Bq xUtD6LGyf3AmmYLC/rOmEW+GwHPLNZEm9W/vrrq/qv5DMN33xkQin0L29j2H UgOGoJfS/ly4gNR/aquPF7wfQnnRpbrhQgrJ4n22rKgh+AfrXv1VSmFf6fWb qj+H0Ls0IpvvLwW3PZ7vUxhDKGGNq60l9XmV5bkTGtQQRG8eO8gmXnbdSD72 3xDENfvL4kg9XxIm9eoDZwgqyd6xy2mkHh0P9no5NoR1ZwfX8DMofI77eumK BBdpfEsX2/2jMJb7bnXPHC6u3v6pL95D+pHGO0y7uVzE9hd9SyAeENKztprP RUr+pG8/6Se0T1VY7F/KBet02cApDoU/0qxtqlpcBI4VP+sj/chSldKRT5u5 qGVnR94k/cp1xKcqb+PibforcX7SzyhcdFq7QIcLIbH4PPFhCrb5fMqihlzs EmB0SY5S+NpEa/Pcx8VAX7ejN7HIQEEQvwkXw/4v9s8i/VL8Ip95o+ZcDFlH 9Q8Tj9yQF2Wd5GJE15iRR/orQ9+JgtOnuNAsjGKuJ/1XcETbgzYbLtrmX98U Rqxb+XGy1o6LQSudHGfSv3mvXteff5ULD4NZHrNJv7ekxbD+gycXJ0RvJVOk X3ySsy3h4CMubs+p/6xP+smBT6pes55y8arA+H0wcY6jxIYLz7m4onz22d4Z 3bAVrnq2LpALuUtvbj8m/WpZb85ZejAXEtfGb1YTb/ybvN0vlIs+7103FpJ+ Vyjkzb/Rj1xYXbjoHEX8ef1Rg1+JXNg8M70bRfrlOfKGi64lc3GAvuw+ndhl ait32VcuJpmfvRaSftuwWPHDo0wusjs/v3hM/CV+9q2tP7lgfpXz/06s8Hrq QE82ub5f8X0v8T/L9imTAi5+tFbE7yX9vIV+ZQ1/MRezpa6kORF/V8mJTS7l Ij7qaXYwsffQh2NylVwkXpSvpoiHGl5rFv/l4m+Qa6u4aDdOZnkK364l66G9 k1IjVn9i97W1iYuE2SXT9sR+l4/4PG8l8RBzT8yTeNpir61uBxdmr1zkQojP bd26bYjGhY5+nHKq6P/9+BrpSAYXh1bKaJQQb56pSB2muJjwjtRuIQ7tFs8W 6eHifuyJvX3Ewn8m/TL7uNjxQf3QJPHV1L5Ll/rJ812TOS0q1o3GgDZ9pSEu 2DOErsgS6977s6CSx4XFkvE7i4ijz/wauD9K4sX53+PlxNJGX4o3THDx6+Vv v9XEtzQ+hDKmuDjDDPygRkyTfX3Dn58Hep5h4v/vl/aNe+w3nMFD8PGq7/9/ ntJ+ffmEEA8/M1SK//++YsHZiTgRHjwrDGr+/33PmMN/rcR5uGer3PH//fue 74mWkuQhe3Fyz//jO+S8xT1XiodVD3uH/x//z+Orj1yX4SGCWyQw9f/7m50L 1q6U4+F6xLbZbGLfFeJCDfI8XP64Ta6VeFhssvmJIg/6tJ+LS4lP9fcmayvx ULE4U+UrcVFt65O+JTwcGVm+7j2xxvcK69BlPNAah7Z4EfuHZW82W8nDXcmF Oy/8/37pYZLkjNU8PP7yymA/sf3FcEaqKg/SqcbGa4m3bvJ4Lb+Oh9Ysy0P/ SHzU2shrBW/gYWsJk1ZEfM03vm7xJh6SvnG+RBDHdtUrrNLmYZbVcdnDxHuk HL7H7ODhglHUZzXiLm1By7U7eRD0MHH9//3ootdqYVq7eSiKvd0dSeI3IytH N2MPD7Wfeu47Ex/+d5i+3YiHEUHvE/rEz3Xvr9x1gAc7o9V/G8l+EeivjTM/ xkO4aUzZANlfIYoXTepO8CAWcuhSCvG2Pfz9x6x4KBWp2e9E7PR+zQYbWx7e PVao7iP7lWF8L+OKAw/XMu0Zv8n+vu8ie2LoCg/16Qe87xMrfYyevHGNh+6x CMcNxEcmqnXcbvLQJmDF94rkh9JolUKf+zzMWPtq0TaST87V/jwn5ckD5WFV 0M7fjRkCFqJvHvJwtXplvAfxjqN3jYO8eRBSvbK9kOSjxFl//0b78RB/fe3R TdPk/LW9014YTdbTDzdyxyloPJe6bxTHw5JGCzlj4vLMSOWKBB7KV1nyqkl+ FJpbebY2hYd5CYJX20g+vflreS/9Jw8GST6H2kj+PbGoYpT/L4m/uLuVTwYp SMg7pmbW8FAy++DgvwEKv+bKXr1ez4P40ISgEfEKkeMsVgsP626b9gv0U2AP MmorWDxMKfeMHO2jcL94Kjl4iofPynlhESwKG/LCLh/mH4ZFDyOczqTA/Km/ RmrGMPI7hp4vJd6X8iTcQ2QY3u/3rffvoiD7ft6LCzLD2H5mrc/5TnJeOak7 bFk9jLT3Cc4xTRSOXa5UGVQdhtobea2SRgqzzzt1xa4dhquzWjujgYKjVcaJ xRuHUeaZOihfT2Gb4W6jWTrDkGzsnGtXTeG3kuWqmoPDcHM1kAkuI/VNiU/n FfdhpP8IbHbOpNAsVnNu4sEw2usbhM9mUMjZp8h+6DWMyNIFVubpFJ7/jh4P eToMDc70o1VpFFZXFcqUvxnGiM7D8u9fKFg28BuoRA9DZNJ6wDuKQgHzekxH 1TAWdJtZlbyhELvqh+almmFcF/FwvPuawiv7Gd9G6oZxySI5SuMVhVP/XuZJ tgxj56b1D549J+dzX0LLduYwOIZfmrVIPbOWR0kGjA9D7sSWkTX3KPjPsHQy WzaCV68nNeLPUaRfl9tYuWIEV0ZdhdTtyPma+4drojKCtf6bxWLPkHi5r3fD WH0EN5dahYXbUCiaXnVrz+YRHHG7NOpygsLw2KDbjn0juDF7kVKlCYVD/Y+f rnYagQ/9k5XSRgrfD+jti3IegbWOYIDtenLeJ06Ir3IZwd3ZXWOfNCn0OVz2 XX53BEm1wmtV1Cl49li8WPxoBHlSZkdkV1JIYSq9nRc0AiE+Z/vX80l915oa LpA3gojV0zvXjLHgK+7qmlYwgsSbO4VFR1gQ3aZ/5GLxCLSCpN4wuCwI+FfN rv09AosgT753/SwMmLJvRjWMoCPruxSNRerh/FUmB9gjWF48N1msjgXvuMDx YIVR6G+3uRmTxMJMV3eLLVdHob45J1PoFAsp/T2jWddG4Wy3QN/9JAu2Z4+8 3+08ipkl0T9Gj7GQZ7K22/z2KA7o7b5PP8iCx9IWNwfPUbzP2KEbZsTCjKLN MR/ejeKbguGSNC0yvrkcfomcUVh2bDp4QIwFvijLhE7pMezYfTdfNp6Jgp46 h/eyY7h6/qx1QTQT3hqm6ifmj6F8fOZpp09MyH3Ti6tZOIbxoPevikKZUC9c FVO0agwbHS2fmb5i4kTXQGT8jjHc2vxMtusGE+lLHobcOj+G3WfjN4qBCceA BB/pnDGIKay5JZtP+qmJgIc5eWM4J3AqX+UX6fctvdwdC8dgLGy8Zxvp1x4q n7xeVTaGj0EqnIOpDATFip58WTeGZTK3P9iT/jX/5xlV6d4xTDl+dBDxZGA+ bUGp1PxxTO1C22JdBn6seSQs5TAOs8P3dY4ld0HK0FH1vsQEVv5mJVp40dGs 9uevy/cJRNjU6GvPpOH9PylXwawJtP22eakw3QmbKPMVPr8mQLOyLh4a6QS1 rO5maMEE6TPD6EE9neAtaF1Y+GcCC8cUzmT+7YSUaI+dTNcExPKzFqiHdWI3 Y9ZE/OxJROg7y5dv7kRiCJbRLSdx665gOPNoBwZvDc6ytp5Emqtz+S+zDmgd /vSv5fQkYtevb/Yz6kCmpGRy3blJuKnOe6q5vQMF91p3ljpOYs5VpXurFneg ycbV6ovXJNnXSUvkutohtDIz4F78JKxX43PB+XacTNCSWjg1CV3/Na8OFLbi 67ERiT98U6i7+mOZV0orJIQyxB8IToGrwIyIDmtF9ontwpTwFEx8ZvCybrdi qaj+dMrcKVy7bGQ3f20rGLamvftUptCe9vba6ZctcFC4WHzHYgp+DXvdrQyb UZCvVrj28BTuubufV9/YDKWr7LzOo1PoUHjmzFRqxp9Cx+w9VlMY3q6wQY7b hHXXXdJkzk8hL1g+1y6kCcMVXh9j3aYQtiLfPKSnEfc8w9ybo6cgnjey4uv1 Bsy+McvQOm4KZ3I0zcctGxBw7pI0I2EK61fRnVfsaUCy0ZYP7JQpVBaL/VVT aABDqjJPIIuMt0LMdOR7PYxC+IRV/k7hSElk5ObJOsxLs/K9Pj6FvgsZG7rP 1OLD5/xDY5NTeGoqI2loVAuNgDVKbnzTuJ7h8O+BRi32ug4nPJo5DaHL1LoH YzW4o/esMlByGocGJe6Fetegs+KnTI7yNAyP1EaWfK5GHGthoMS+aUxyqt67 ZFbhUbDnqdb903j/8kZip18VbM16l8ebTuNu206bsatVUPz+PdH48DTaq3fy 1FZW4cmz4wXeNtOoMZXYdsGnEue03vWLukyje2pjt4zBH+j/40trvD0N/30s bWPFP1AKPXcn+i65X10jn3RnBWpFNs8y9JjG0am0wCHNCuxqqVV8/GwaFQ84 mt555Vj8ckfnkZfTGDr0dNbms+WY2B35adWbaYga6IoGCZUjJfH6uqKAacxO 9C48oleGpR4ye2ZFTkPzyfcZM2NKoK+/e96Fz9PQ23oxsv1ACZJUqsUtYqaR zvohaNVRjIGQk28C4qdxuWJBwTXrYjw/nHxyd9I0AlZ2T64YLoL6HJEVA8nT iFUozBh+UoQ9v+6zur5OQyfGI1pWqgjLnLvjUtOn8Tf8W1lIQCF+qes4W3+f xolCvVOlKwtRInr7TETWNKakdgxb+hdgnc+ukYs500hMeuA2rlCAl3sf5w7l TWP7MrP9VyPz4TDFeZRXOI36m9EXWUvyIZ622/RKyTQSRLrOV4bmYfm57Lm2 5dPYSBd1hkQedq8a6CismEZwgfLhk69z0Vz5LETw7zQY/FKpjt05+OY1fPpv zTRSwyMGnpnmoGrT1RWF9dMwTVsodDjmF65wCvocm8j6Lq8tPiX5C0Yf1VN0 W6ch6OygWmWbDdZJjzt97dN4Y9R0jnsjCysL9K9/p03j64PWtlUzf+I/Lr9M Bg== "]], LineBox[{{1.995231006039287, 0.09754300020037165}, { 1.9959157171960376`, 0.09028562328817241}, {1.9965678230596096`, 0.08277883160432316}, {1.9972199289231818`, 0.07451362738473755}, { 1.9979784310066, 0.06355310697569093}, {1.9986957474565292`, 0.05105672074749609}, {1.9993135319588609`, 0.037046754363624645`}, {1.9999656378224329`, 0.008289939594768888}}]}, Annotation[#, "Charting`Private`Tag$5460#1"]& ]}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw1m2k4lO/bxy0VIUWlSFRKkpZfiZR8hbInW9JCSYqKkhQlESKFSlKJog1l z1bZsi/Z1ywzY18HM7YxeK7/i+eV43PM3Pd1Xuf5PbfjMButHIwucnFwcCxw c3D876/Oxb7qnP6LKvvE9j5wy9iDRepi1ztENSCzkm/0+MgH7I0IDUsWNcH4 htsnnp+KRpf4Zo/b0haouPuvm1MgHroVjUnvRK0xcOJCpMBQIjY/Wf9pQdIW 7ebzyoW8KWDrXHh1Xtoe/12SKr8w9gNm1lO/n4s64c2zo8kGJhnIVxdL+xPm jMTOjn7f1kzsljqUwJR0wY/kT/FGBr/AS/OMPCF9H4l8ipTrHNlo2/VI/amo F2I2Zjmt6MxFcMTanC2nvUF3KD+01yEPOstjlLPCfKDI/r1571QeUkfK99El /XDnxBdpUfYfBHwXljGUDoClUmf4c0oBjqz/+LH/UiAk9Dn3rjQuxP3CNyty TYJQsrnOAn8KIa8g99Q85Bm2pIUYSrwrwvvVBj6PRYOxRO/91mmlEtyteJV/ IjMYy8KLnoyGleCEN4VL6vRLBPA/jjk7XwKBiRvuP8NCsC5ZUqT5Vynu1AXf GZJ8jVQ3G4uhbeUwfNFid0w6HDM5OjGBf/9CTlcqWqwoHBXS/qtrJCrBy321 t+dSBIpNb39VtK+EZcZ8YrbJewSfjqaqLa7C6m1BO0+GfMCpnBZmb1gVPHiT t/qJfgRnyepfST+rIav5zDfp+kf05YQ94qdWo8bbof9f0UfYPXcqFFxSg83c crE7nT8h+aJfgbhBDQrnPu6sq/mMaNMdn/3baiDACNkn+SQaXPUVmdLDtQht c1X/MR+H0Nhno/aUehwWN//YbhqPyTkOfvZcPQZOKS7m/R6PiFeC4WfWNUBi yOXC9x0JGHqtpPPWtAEOtgpbOFoT4PFd7bFUcQOEreO/ftqfhPIrtM0znxpx 0vxD/OhYCmK67ZXrtZpB/2fCFyn2A8/jLF9ZnWuGjwXvRWP1H/BdOibYfLsZ yRccxFKDfyB4oTPM83MzBO0Ped9VTIWTXlZ1FVcLCjybTy1xS8NMLns2NK0F e74JLRHnzcTf1KY991a2gn/B44ymRDYEXO7ZG4e1I9TWzELuaDYsj29S04hv x+Y6uXNC9tmovm11XzqvHSrRjRf+/c6GWiGzI6u3HRnRIT/SdubgtJRIgfKe DgwbD/3S/ZsDy7DUNyb5HTD9+qrs5rI89CdJD05eoyDsrKeezcY8qMYKctg4 U0ATvlZxcl8eLlyRNSy7T4GDm1rlobN5+Pzq3947gRT4GQ3X8HzPg7CO3Q+z BAp+s9Va3ur9wW6uic3CoxRsMRzp++Ofj8qmEZ5HNlSIuWseuPQhn+TV4rFV 9lSs+P7eny8tHykKd4yf36KCxWu805CWj9KFbQWnvKioykm72b6/AFILwRLr P1Dhuttjfrq7AK+LOP4daqTCwaLFIGy2AHaGqlPf2qiwfrL3A4QKkcTP85K3 iwqDvm51H+VCBPaNh3mNUrH5vY7fyheFmNa52fOYl4a/y1et2qlahO4Gx55o eRr+HLp2sdq0COKmn7TKlWhIv1KY6nSlCJ8+MlyaVGiIKrpj/jOkCI8lzsd/ 16LhjntbuNZwEe6lChhqnqbh2neF0UGuYuxQcV6ZYkmD1b/Aw4Fri+G4otpj qTUN+opqXfXqxRDd19p+7SoNm+ift114UwyxFfO7RO/RsGY9x90lCcWYztem FbnTIKBrXh5dUAx+oycGFg9pmPrM7zA6WgyWuDfj8GMahuqsc14sKcEVvsHp gKc00LiyhBTFS3BMJeHEnyAayi2up7hpluBAXfwfaggNeU9KFm88WwJ9q5jo stc0pGVuMst3LAH/mqcvw8JoiBSpn+ELL0Ffk+p+xgcabv9VQiizBEdTq6Zu xNIguPNHdwlvKcJd3pTaf6fh49PdT2bFS/Hmz6CraTwN1Xpbmy2OkM8fzplR kmi4/C3SPci8FEYXJu94pdAwzy8hnXetFPYXhiyFU2nYXrbq5paQUvw5HOg4 mE7skw0SNYspBWv1wmuFTBpOPubP8c0qRbLO5P0rP2kY6fexyawpxcK+Pxsf /6LBW5tr2VBPKZQVEx4+/02DeLRb8vrZUjh9X/zFK4uGJN4Zc4PlZfBs5w88 l02D1mUnDg+pMnD/FVCVzqGho4j+OUmxDGt5TmTXE3beekW/S7cMPCYHVjrk Ev8/6mGsPleGxZdXqo8Tjuw5/0bTqQx9d9TNLPNoUDrapuriWwbrYgXzVMJV n072xoSVQUTiovEUYZvFdU9bE8qg9J+x4aY/NLCtDeQFC8rQyRlsqUj4RX5p C5rLMLap1F+BsOzmox43hsvgPP61S5JwzsPcrVGc5aDkTbgwyPtOdCr/rVtd DiGG75lEwsNq6U5LZMsRM3Es3JywV+TedftVypGnpW00ROwV44rPtTUqR9fp wCe2hBPOy15+a1OOgosGVtXkvpq5nwQrXMthva2yX4pw+4aNP+YDyqEVc/XA eeIvpwdhp3dHlWNvZfhVP+JPPsoaLqu0cohMTLwOI/7+gBdfX5SV4/R18bY3 JB77IwQNCjrKMc9uMPQi8fo77zcxySjHRYnFq81JPGd/P1A7JV6BPY25C/lp NDxfz+7z310B18JXNmeIHmTcbgf+1qgAj9r1Nx1EL6bK9q0brlXg9LZeRnQi 0fvbfk8jjwrciYs+P0b05jlrvc3rZQVsElPltsTREJ952rn3dwV2am++bRRD w1GxRnHRmgp8ifHQ1PtKQ6uL0R+dngpsPbVpzd7PNCxV0l4RJ/gXmanqVsVE 7xfSFGKcLP/CNZT5RSSUBpZI0vHPN/9CdPq9ndtLGoKcd0w1PvoLESfJTzXP afi9b7PGwYS/iPx0zUib5N+aFKF2Ts5KLFhxP7jmQcOZJ7MmXSKVuMrffJjv PtGPdXdZoVwlKjgvuQW70iC3OiPD/2QlSgMlXznepEHN+dzL1QmVeDs/JWpB 6oVCmNnn4F1VGO1kLz6kToO5bznV+0AVFtJ8Pf9Xj+45HV5/+0gVesSahmwO 0JCrtz3Y/HQV0tftXm3xHw16c/MeEo+qsCt8RW6OBA3nLT6f/dpeBRaD63vy FBVeOutev+6vwt9pkc9x41R8Vgiqe8ysQsyiwANRw1QMCbrqXuOrht2C/+K7 nVQ4Z+sr7VGoRntq9+Lxv1Q82TCx6tfTavgzw3wufaIilaZeXqlcg3E929Nd xlQ0aHmMPdWsgcbLqp9rDaiYjMsS0TOqwQx3ocIJHSoU7yqdL75UA26t4y4j qlSkr9w1mfO8Bh5726Uid1LR5HJ1nfu7GjTMyOrskKViuiNa9dDXGnSPrfQt 2ELF/m+b/TN+10D240kdyfVUZGiIbUjqq0HTQGKntwAVLTFmR64zatDcG5f7 iJf0lxUv7XbO1+DFrZ8pbxZRcaBt+Y+YlbVocVdsmGBTkHlrsU6USi1Gond2 BIxQ0PJPzeG8di28OQ9i6yAFrMMPgiVNasFlzfW5rpeCg4Kz7W9ta2FidMv1 OpWCX59HbwYH12JfunJpRj0FrQI7XxtF1EJ9umeYp5YCtuOVrBUxtdDeLDBu X0XBIfTwPs2uBcuGcd+vjAKLT1I7dUtrcXxz1dShEgru8583Xlpfiy+2hv8t K6Igq/HfO++BWvSev5k9l0dB+yHRP+oTtShxnZqXzKVgPupEHydHHdba/6uz yKZAgi94WQ5fHX59yU3J/E2ByvXqPfdX12Gc309I/hc5r0HwpPKGOlSd1Dxb lknOU9ZzY8nWgTNQfalHBgXhkX6R6fvqcMV61Ns0nYJs3qIiZ9U6JGT3qGmn UUCxXzQsr1sHcRVK3JlUCjjqDwszTOsQ/ydRMegHBRsOuismnqvD6lVHdbpS KFD98OuMw5U6LLsTamRO+BwPy2OHMzn/avxPejIFD64pfhl8UAcTi1f0L4Tf 1zqVR/vXgXX1rJkn4RylpLFLIXUIAd9pd8KUCLqI9AfyfWrY+QjCHEt2KHfF 1mEhenE1jfCGq3bnI1Pr4Lpvo6AOOe9wzRefc7l1SLmYfK+esNX+7liJ8jr8 dbRy9yb2eoZvqm5tqIM+T9LtU+Q+kYvOTb6h1uGB3XyBCblvnt27deZDdfiZ frvEifgjuf/KFYvJOmhr7cuLIv76ePnAzwsc9UhZenwrk/gzuJeX35avHjm0 /9RtiL+9bRpP2a+qx/d2Y0sWiYdz96eYmxL1uDp/ID+BxMvG2ol1R6Ye80K3 MvxIPLWshN48VK7HjsI99h8LKFCikj3kaD0e6NLSeogeZM/FKQUcr4e/n8Jn vVIKBCx0m0Ot63F/CdPFq5KCuVbRbeH29YhMPUE9UUPByOm+O1F36kE5rjum T/RZae69Nu5JPTa07+CO/Uf822R8OTmkHpMlj+4LdVCQYLYpPf19PUb2H335 jkbBc9Nssz8p9Ui/G3l36wAFD+uefinOqgeffsnPLSRfnIzPTFUU12Mh4vwd nXEKThjOhDS11sM48cJB3lkKNKuKetp66pH8WSr6wwIF+w1CFDpH65E9xD5v RfJRVH9vw/CiBjg3xzqfEqSiVevaau4dDTBe5ygvu5mKiqKDF3kVG8B6kMzP TepB1lG+H8sON6DGaPDZot1URGh8MVlL5viY2OwjnspUWKlSX+xwa0DlorJD V82oMM6O79zzqAHTKeq+ARZUaKjc37v/WQOUnnx/2XKRii3K62rVPpHnb7fZ jTpR0adoKnyyogEibUuqVr+kojlVyupsYwMyLW4K+L2jonTfeKIVtQEby6LL pT9TEbs30PDaRANOBERK0tKosN9VEuS5vhE7/0tINSfz6YT0oeXfrzXiQKO6 veluGlRoakWP7zTiepd/zmVlGnzeablfftgISlfLpzgyX4qsMqFLvW6EjsS6 VTXnST/gvFL5Jr8R/eJe953JPHfnX2ig77omSJoUa29d2omckHBNG+kmmBfP mZ9d2wleo48L6v81IV1BuSx/aydeF8c7LBxtArfvYbWtmp3I/FFo4OzYBNd1 AvIKvp1gBzKXW5c0YeNtgU/GK7ugocsqOlzXhDvvNJT9t3ThyRKOB5IdTfi6 kLx5TLEL6934R1uYTThSvrXn6NkuqNhtqjLc0IyRxD0pwjFdcNc4HgSyB+Vk H94yoNsNrpnYFeu2tEAj49FrxbgerKtQY2BXCyR47NSW5fdA/kNzvbVSC56/ 0vfjbOnBRW2et3H6LVj2R/eexpJeFL+22qLm3IJ/MesCtp3rReAB0QO2RS0o VTCaFRXtg/g9nwtptv/gfOyITnJYPxQWzqUax7VCccsTl/vVQ9DTz/E8kt6K VyzzDLHBIVx4K2mgmNeKpLCSr+mLhhGk2N4r1tAKru3VSVOKw+h3OC1Km2vF 0DUnxVvhwwijmN67rt+G6RfFcouujIAzT0ft6VAb3O/8OiazQMfaFTGC7pNt uG7v85FXYBQ7LZb+u87RDq+QRg/ntaM4xSq6abKqHZnHJJ0P/TeKlD1HPq1T bkdLRzaHo9UobKLAG+PfjoHqWnmNP6Mo95L/WyjbgQHXf9eXu43hwPIyrmf7 OhBbazKv6DeGr6/PK55W7UAeb1DV8ZdjeBgX8J5u2oER55V6Rt/J95v6HNd6 dMC6+wnraSv5/vZ3a+waO7B5WQclRXEcIql79eRpHejqSO8qUBuHl2rpg/mh DlRl7Xn2R38cCTGzTtqcFOwZzBbyujAO/2yZ9jYR0ndU6letChiHWr9nwhI1 CsQKoqyOdIzDZeff0iuapA69kIpa2k+evynaXaVHgaEST2Da+Dgk5uNF35qR Psi8lVu5mIEZ4TbPXWTv1Lu+dPOwLAMJyoqmJ0Mp2OTXWZ95nYFeD0+H3+/I 591Xv/C4MCBRVOG3KYoC7i18LQc9GHhiaJ019J0CXe3cfvNnDFy2ebbV4w8F sfw7g2wTGJAMGpyJJnVJtXzCMqefgazz7tFJDArGAzS8Fo0yYLF3pfnPadJn Ck7S/ptkIKzhQHo5FxWP52SEtLiYWLv+sTNdhIowS9/sc6JMpI2sl55eR0Wn HL/8sAQTJ3IS6zk2UrGmRv6e1WYmXl5olhfeToXyvI8lzy4mhGNkGPIgdWvT qrtK6kwk3v0VeUiDiufGUc/4tZg4rn/c6Kg2Fby3hQ4W6jEROHo70YzMTeUx O/6bMGVCQLHIwfUSFeYiW/cpXWIilve05MOrxJ5PlrYGV5jQaRn563+DzDl8 yauOOTDh6yay891dKnaHf65YdJuJxfkXh7IDqfiUb15r5s3Ex5czb4uDyd79 mKso0ZcJjUtPdatfU6FkbHuA6c+EJ9+PGFoUFYKzVvF7njOxsVXr1OBXKp5e rcrY+ZKJnO+tS5nfqfAcizddGcrE/PFFtovTif1rPM1D3jHxblPoWsHfpK4u j/8r/54JZeb2YpE8KtYG59J/RjJx95XxVplyKv45zZh6fWFCzLa3YXc1FW1+ n74VRDOReeCuj1IDFe2a6jX0WCam2yK7dSikbv75L3k+nolX8Qovjbup0FNX 9epMZELBo1TjzAAVR10zDRKTmbi1eTzqGpOKt6ESPLxpTKya9DZ2niFzqUCP wLN0JlKKRLnd56mYzalR5c5kYtzusFUQLw0bZy9ejfrFxDPleqHXy2iIKxv1 qP7NxG5B29wPwjQw8y9x9mcxUdnBvh6zhobMh9Os/mwm7BODNiSL01B7VN+9 LoeJZQ83V/3cSIPGsicRX3OZ+GaS7p4vTcPPBNNrNnlM6Enr7arYTur+XD5r 2R8mBqc62utJH/AsuHYqgnDqpcA8HQUadNXWT0vlM/GgUeVz9kEaJF3LfwQQ 1tUc8ZM/TJ5PnP/WQVgk7d216KM0SBc3TYkUMEGV1jeU0CN7zx/JRHnC30LY 8i8Myd52TJG5n/DtJd/W8prRcEppQ5sUYTXn0+x7Z2jwn3D2nSDvW9bDRxkj faaTx3FlHOEm08w/NpdoeHiX8lafcFSB7Zd/V2m4fUxGtY7Ya79P1P+4Iw1c LRqSaoSVPhXbF9ymYb1iwclX5L6LVt8xOuBGw1h4qUAd8Uel11aFeE/iz8Il Z6aJv94wG0Q3+9LwVCnz0iLCF6195kLJHvU5Jslwmvh7d90+6rIXZK/V0lau I/GYVe/O9yR7GcfS8zqhJF6FycFfp97RsJlhHaHxk8RPSuPJ1SgadC4etWzO YOLMC4YDlex9VLO7cSdI/MccjRTLksleJ6YRyP+DiV80znWqGTQ48upeVSf6 8TFKnE8he66gpK+DNdGX+J4VheElZK937POy+s6E1liFiWMH2bvvWOoaf2Ri 5Xm3/b1dNJgcK0xt+sBEe5Wc+JkBGhbv736iFcGEU4J/55EJGrLMRqT6XjMR 4aDtKMrfCRG+yKztAUzYdUybBqzoxPyvfSpLSf7JG3xV4hbphLDpQd+aR0yU 7uThHN7QiYNCmXu2eTAxOZwfmKPQiUUSjMlBRyZyzzrd3KfcCdHAnlY5kv9P KqTMYg53guF2adFpUh82ffeUCNbrhLRgWrP7BSb0r6p+v2TVCb13ijOjRqQe DPwsFQzoRECkUWHYThLPVwZSdi86IcQQyOvYxoSiRufdglAyRxikJK/cQux5 x7fjXlQn1gxBxWAd8edx88D+9E4Eey+2FONhQiVt0ji/sxMGR+IS5VoZaH74 X5uLUhdWNUfu+OTGQOTugn31Kl1o+useePk2A1fbTgbs1uiC/pGMQ1I3GOBQ fIDeY10oM+HWdbdmQHrg7wcT6y4MzXimNeow4HT8qs2uwC5sGI/nVhBhQHD9 F3pXVxc+c+w4yB09DtUTD9s6+7tgOUcr9I0ch2OgZRltpAu2b/avEggbRwPn 2i+U6S4YFa7zEwgcR3iPr0WrQDeerM7qmXYax84Eu4pa+W5cMPsiFaE6Dn31 nbF5Xt0ILdJpWtk0hvv3+F7n+nVDylFgSUj1GBJ+9PjkBHRjZNFRRbGyMayS ibDKCu3G03OMdduyxsj+t0Is81s34vTfbrH+OIarDWO+iXXdUJ95vvTyjTE8 sf1h835zDyRvxR+1EBzDgOp3X37ZHpye+ClcyzMGzbWfYpx39aC/6QLHMc4x cBUFj+gd6MEr6YCvJ5ijcNns5Dxj0IOFu/ODP1rI/NCxx8fobg8+JNNLc76O 4rBpwqdFNT04wn4k8FJnFOFyX4scGnvw+mTUummNUbC53/e3tPbgQL/5jwsY RXpS4I7EXnIep166iTyZX1Y4/Dg714PgarE9ERKjEC/bUZAq04vr4yL3f/XT Maka23XZvRczWfveWR2n49fHwbe3vXpxOv6VIpcWHZ68csY+fr2I34nhRNAh WPUtN+pFL15Kx3w8vIsOacu48PYvvXgS4TK3cTkdJ9wST5pUkTmvVfMirXoE 4tSx5Rfqe/Fvz7dhj9IR0DT2FN1o6UXmoSOH/vszAnuB5H2BXb2Ic3Diz04Z gc/bFOHS6V4ocQseDAkdwY+MtHJs7IOT5bXNMhdG4Lp++uEx6T5EilV+zjoz AlWP/QfPbu+Do3bsRusTIyjXyoh23deHtHtWWf+0R9DVmOnzQ7sPv/rlv9/9 b4T0k9+q2x378OyK8vQ17hE47clPEfnTh/Z/q+IeJQ7DRn7D+2fFfXh4wiTO 8dswTirc8xf424d19bzCV78M4+ABeSuu5j6c03xx3+/dMLjUPi4fGenDipc+ +688HkagoZddgVg/nKv3l8baDOOBMcVUdUM/vgo40q5aDcPRVPnwzy39oPBs 3HnAYhgnzJlrEnf3oznSqmLadBji560Lwo72w+80pxTX0WHEXNfY4OTYj/dR q19uliHzq+N7fvrtftg+iPN8tXkYT53Yk7Zu/RCqWW6wauMwrt9JqbD07ce+ j6eGZcWGofhg813d8H7wV3dsKBYYRn7gooZNpf1IXnzl0QfGEDri8v2rNw4g cpdvXkXhEKqGFw3t2ToAQVWjGNX8IeTIHdELlhvA1LnYhPTcIbyPKRAwUxzA n2e5oWm/hmD1ufBpq94AlLMyzg0nDaHnXXFg7+0BLLI41rv+/RCGn5S/mKsY AL2m/mbJvSHM2tW93eY6CFtFJ02eA0PYfphn3ubnEG6knXT4L22QzKuxW5ty hnBgsaNca8og5FcdN9QmdjVe3HvCJ2kQyr2hH7eTPeCL6vza5u+DOPZUVne0 h9iB1U9cPg7CsVk/1EV4GKeXeD1MeDaIjBvBe57YDsN+Tdcr06uDUPm3/8yc /TAK9mY8WGI3iDyNNm97p2HkfPwZlH5pEKVrpJuPu5PnXZ/YbrgwiNbfae6r Xw5jxe/SfxynBsHB9688PGcYYus+c63SGoRm5MZLiWtGsPrByxEOaWJvqKB0 ofgIAs9Z6a7bPIgNAbNdLRtH0Ksg8Xb/pkGwXOqtFsmNoFTI8tg9iUF8N/Sz MFMdgZjTUPi2NYNYyTlmOnd5BOt/SoTKLCXnTbWtErYnui7in7zDM4ihodJa 6Zsj4D28Y0fF4kEUNn00PO42AgeroxYeXINwSTipH/WMnMd/VluMPYAOyxwN 7cwRuKwa+Cc6OoBy0+/cFtkjCGWaC8eNDCBd902eY/4I/pZsZBwdHsBzRSfV sL8jGEBvp8/AAI4sl1Gm00bQ9IhWpto9gD2LV89y941Akv4sYrZzABKznJlr h0ew4r2R60/aAKZ7/imqTY3gkvOb6zqUAcRmBe59yU9H1Zo7vp//DSA05d54 9Ao67vaN/37cMgCvGNvErNV0PA64q+/UPACLEPVdfZJ0GNkLfDBrHICQ/ZTs QXk6FtF+iJ+rHcD8ha5+AyU6LjaYSV+vGcCAefVXaxU6hLVW13hXDyD/SKx0 AKlbtywcdudVDuD2estN1DN05CeUUt3LB2B1fPeJ1vN0+P2seJVbNoBjDzkf N9rQYXHw9hgvYen+qLGK63TE9fh//VoyAGHxW1tKbpH33+sR4iQ8d+yoeb4r HQ7JBQqWxQOoS+nLyfSiY3ztv2K5ogHk9GYwf/jRsX3SVTWskNxfzF8mMYCO HWqOvkKEPR/sCPoSSofs9JqwZQUDsE+e/xP5jo551Q/Xg/MHYN5TOfUuko7e A4pbNxLeredoGfyNjsDHQjp6fwYg7q7+IjCRDuP9b34P5A2AJ2lV0eNUOtjU tI2BhMe7ulneP+l4wvvERYlw+5q0nR45dAhZLyruzx1AqY6v1b0COlb8bFn+ nvAPN/OQ26XEH7+Cjc8Qfp8gW+pYSUdf68OXEoSfdM7OXaujo2xfQWNPzgDu iFT8Z9tMR9jlw+I/CF/QDr9o3U7HSq9v1n6Ej91zeG3ZSYfrkHfSBcIH4lUr TvXRMXB0LY8GYWmaEOeJYTrOXnK5IEtYaHWnvOE4Of/w42IRwmzNlMt6U3Rk tE4qLCXc5+odpsmm47qOQjwn4YET2y9/4CB9L+LxfxyEz42u5JLkHkXjOEfW IsINfuy3YYtHMWJ2w2Q5YV2p7n1ivKNo677PlCSc86ui8hXfKPozXr1TIKxw ItV29bJR0BeYx4wJf6OHc79YPopdc294nAlv8nv0boXwKFjrzQvDCYduuq4Y sGoUcktK/SoIC/46Wc2/ZhRRH42PcxF/eZkevuInOorb2lvXHiI8M7JtMY/4 KESzD3e4Ebb3FY7wIn1Yz+ZKVD7hro2z+7k2kveb7LcSIvGqMim/OrdlFDJp PAW/CB8dSVlyV2YUD9bvvLCOxP/Xo3fvp2VH4c2lOupO+EumfR1j1yg271co OUX0Im5iZn9jzyj2nI5cVk34+TB46WQO6FrKt0ef6O3+BiHlAaVReJz6ttSM 6JGZMVN/SZnMHTubk7sI2xnTHLpVRrHues/2O0TPpj7JURT1UfxoPH8jgehd bsiUv1F/FOonTmZcJPmSbqKX/fj4KHZHNtn8R/JL/bfaTRXjUXjGjiRxk7p/ KmDXv08nR3Hg/dbFv/4OwG/30linC6Po0P77ypXk76rXCxYyNqMwYJQddiX5 /Z5zUrj18ihWfXyg+qCOvL+G5qpuP4r8NT7CEQ0D6HH6pSPsMor2LbrN0qSe OLYlzRfcHYVQ5DTLrJXk55HoJJf7o6jzPb02sI28f02IGPXhKL4VB65eTuqR eobDQHzAKHpsdmWYkHr2fm7TY/2PozATNZwdIPVRzkZUhfPLKDa2+WTcGh9A 2t/l4ynRo+A8xPNmMXMAfyPY5uLx5P4m573lp8h5hxu2DWaMwsTAwrRijtzX x6/Et3IUfLncPa38pJ4vH+XNZ40ihi/OcF52EDW/Hz/SnhuFygoLywG5QTy/ umVJ5cIoHFzChJp3DkK49BR3y6IxyIq925a1h7B3wRydzJUR2qZBnw4MYsXs m/F1UmNQydZ92KozCIHeI603dcdw5eP+Wh/S3xZlv42XChtDWT8zoi9xEFfk fzYv1R2HzVS3tJ4q6edV9d/S9cdh+4oz6qzaEFZfG3W/dHwclFajSnuNIWR/ 2iJdYDqOKkbptSCtIaxcE+T44Nw4RlTW6tUcH8LPGWv+qVvjiOjIlrQ4PwT+ bMFDXe/H8eDimLHIwyGcO71txYsoMqeHK2WpeA/hx5R65+HP48iPOrvf9tEQ LHe7+EXEjmOH++/sfP8hJH/orD+VOo6UK/rdocFDOO2Vbl9dRp7viaeUfx5C rLbV+6zJcaypvMS94+8Q5OU2qmBmHN8mDmdHVA0hS5DyL3t2HH62StfX1JL5 pfbsmlwOBvy7P4mLNA2BedY84A8fA4Oqr4KNaWTpcTx+r1iCge+lC7y9U0Mo Mlkupr2RAVwppf1gDeG44t+0EikGLj1adcV/jswVbF1GqQwD1CSfaR3uYTzy 0bSr2MPAg8wgKcnlw6h6o3Ky5igDPw88zZEn85m529yEkTYDmY8VaHe3D4Nm +etFrS4DSfM898p2DoO5+UBl3XEGZk3bH3vtG4Zo/L6jjacYkIpiK5xXH4bV Hzn5VnsGWPZRiW3nhjExKLaiJ4SBFtNllz5HDSP4XW9R2GsGck2Ptb38Ooy9 BinuxmEM2N1/avbi+zBuJOnTcz4w8PlJTFN62jDZcx/8ffuNgUfL+zwSy4fR vbjniWEeA7XCRoJOM8PwSkvS4C1gQKU1cp/RwjCkbN3ZWUUMHHD9qqK6eATn y9delatgoNjS75ye0Ajanuvq8jQxwOMqlLZVdgT1kolLfw8zYHWusmbBgszT 1W65N0cZuPlN7HvvxRGsfKjjIstgwELsTgfl6ggMezr7Xk0zoHw+KpTn7ggq vokUO3IzwfHQzViGzPsFSvd8ZESZOHZbPyu/nsz/xprcwRpM3Aj+71qaBR2+ uune4ppMFAdNS2peouOM+jbeT9pM8HBEsnsc6ODay78s9RgTa6wjdph50HFM uFKk6ST5/sd/UjMfSV+rOiErfo0Jo6tJ4qDTIXbMxvDjSyY6x/bcLtYcxfCR xlq5UCaqM0pK+UmdyzmkdeLHGybCzpn6nDAidXKH7OnCCCZG7PbxcZ0dRbLA iHVfNBMlTxsWJTiSul52645cFhNeYdwxZyJG4a7lHZHSw4QVQ1cygOR9jcXl M7v7yfOnKz28uMew+Zau6LdBJrRLPog+WDqG0g9CL6JGmZA/uTTUZzXZR2ff +TxnMbFg6uvzd8cYvn5PvXZdcAKl7MgOBcsxVAn3HZRTmIB6+6ZH2fljpG7p NEV5T2BD3Jq1zsHjeJx3MN7UdwI+W87I3Hk7jvEvcj48/hN4LhRQdpvs13mO gvJXgibg5Vsh6JAwDmvemsA9byfwuLnPbH/5OL7uNdfMTZhASOpEMj83Azsf X0pt/zeBJyYNv82vMhDicPJpUPsE1trSj8U7MrBgom2tRp1ATpPEfvYdBqok twt/7pmAmo2I+l1vBm78GLl2bWwC7guS/rzhDKRQbm1hL5lEwEklvT1EZ+KF NuzvSyfBZ5ow3VXDgHesWa2lwCScReR++RPdnXBW8vgjNImK4fvpKZ0MTPHP tT4Wn4TFEq1W+xmiW0WvYNE9k5j84Vt0YhMTDVaiCu/kJ5GTPNfWIc3EzYC4 xg2Kk9h8U7Xy9HYmvnU3ickoT6JvxCBiuzwTEsE7PigcnYSNlqif9BEmMrPz 1DK1JuEl9IVXjejMbNCs65DuJMbEJzYY6DMRpOa59cjxSRgzc90OmTLBNdbw 3fgUsUf0Q4SNNRPh4lcNGs9MYi3fs7d8l5k4qMU5dspyEtauvdPhV5hwIqda WU9CcGUrQh2Z6NF/kHndfhL5E6mdxe5MeLqsPsO8PonXmap/Bz2ZkPwUM3f7 5iSUL+4dnfNm4iS7TtX9ziQ2WLZr0/2ZKIvZVvTUcxLtL744cL1i4nJD1mUh 70mEnpXY9fY1E4u4TPhePpqE5os5/k1hTKiY39cPezIJZo96yMx7Jlq8VtIl A8n33YI4dKKYuJ3wNSjq2SSeTQlz+X5iIoGntjYmZBI9Vl2a5UT3ensv39r5 ehJdV1/o1sQy0W8xJ5L0dhLaSw5eLPjOxKbUracy3hN7Y0vPOCYykUX9Nasc Rfy/7gd7ezITp5cZvcv5NAkZwwiFmhQmgq3vUYpiJrF7mQZHVxoTu4OEPHW/ k883lZoYZDBR8fOzVGU8uZ9rf/nnTCbseg8WGCUR+9VGdQd+MrFkZbVNQ8ok pNP8f4j+ZiJSxYb3VNokVI+VDMuTvITdbHRbxiSEKGuaD2Yz0foySPf8r0kc LNU6szOHiTu5W4a7siZRKvzsjEAuE6uGMwMu506i3Pdxdj3hxLXHdw/9mYQ9 Tf7K4zxSpzS6qx0KJ/GvafKI7B8mBhxcbzKKJ5F1OELhB2Gft8tX3y6bRJC0 zebt+UxIFX1MZVVMQq95eNKfcM640sn7VZO4v0QjpJHwGYnKGc7aSewooA0s K2BCUNTxx8/6SVyOf/l1N+Hclatv3GqaxIxtpswBwk6C6XK7/k3i1ichA1nC 0ktP9/W1TeJt7tQCB+Em7vmoSArJLwObDVnk/Y/n31ue6ZyEUuDEy/OElWfU 14n0TEKlr+3oILGXzuhpqOwj8bGYET1NOHLE77nf4CTCF/InE8h9TfrljqmP TELD0KpgiPhjSVfl0rnRScgmh9oLEk5vdyxIZRD/5Db8W038ade82uP65CQG 4vdOcRF/r69LV5adIfa9vx5bT+LjWTKf/G5+EvKv+55sJ/GTz//gYMY5BR09 7hdxJN69WRrbhRZNIaYju1Mknegt5XGk19IpRH2/LPGK6GU+boeFisAUBPpS e+KSiD6jq0SnBaeQcPZaamwCE6sjRJ5dWTWFAomQ3SbfSB94naG3Zc0UfK8L Zy8Q/boGn+HtEJ1CucKy9UFfmGj3i3Q3kpzCnnKPNZaRTHx12mmvJDuFi0H3 O1JCmDjlUL2NITeFkJes394vmFhm59T9bdcUxg5tlDwYxISjZeaZDfumcGnr f4bGfiTfdY7q8qhOQbfk4MR+V1L3NfqX5KpN4eu3WOsdzky8x5M81yNT2Dcq dWAJyf9F+2qURnSmkPfDY81FWyb+SlrI1JtOYXTLQknjCSYeiHF2BZycwqOb Rs/phkzsXf0xQuv0FCo8UusH9ZgI5RsQ+XVuClqme3qfqZG+M3FrcdSVKagE Ca96KcfEROlT2nWPKXyaj9nhMctAK3/9ZfbDKSjme24/McFAnp44/ZHPFIye n6tdSWcg6G/MbLg/8ZfHBUttGgOyNUWrKl5Oga9BRiWCzAkWzZya22KmsJDI 82dJAAMaYtoVKd+msMr94Ii9DwPbTwcZq8YT3l3JlXufgelWiXNmKVPg5l+q L+XAwHPKQRfvrClwrk7R7jzGQGHvrVhqzRQ8CvLGbMnc9k3m93/X6qcgYbU8 x42TgRe2i9KnG6fQ/vW9gdv0OM4NPs9f3jaFM6++K6v2jIM1Et92qHcKPC9v yjfnjGPXZP/yN7NT4JAYCLnjOI7QRRZORpun4XhQ71NQ8RjmL6zZVy09DZk3 935/+D0G6z9VEwbbpvHaOurux6Qx7PZUv62/cxoqnY+/upO5unhBxlVr/zRo 9qlCzx3GMMViuKvoTcPK/lCB0coxnBjz85d1mkZT3J7mJDIvrGz/EcmVP404 zXapENdhBAi4uaUVTuNNQ8q2RIth8B3UOHm1ZBr82mpfy9SGwRVas6zh7zR2 Bi57wMk/jHFD+p3o5mks6WHEerwl822BjMFx+jS+HPfefOb3IJ58fzv7TmwG ay/vWR/HOwDeVqsGo/UzcNfROtY53A8vPtlEng0zKHx8f8n22n7cvZRuc2PL DJwt1I4x3/XDbmN9tcbuGSxyCO5wk++H1kvBr4NHZhAetN6v92IfFrt5mCjd mIGXgNKG9LYepIwNzWTfnEFUZPRMXVEPrG1ORhx1noGsuILUiqQe5BvsGjC+ O4NX0qnVNJ8eeG1qc7f3noF00M/j3Ht6sKh4f2zU6xkEPMvkuhvQjRTlj8dl w2YQvGhO5ZNrN6wTl08mhM+gPfsse9ymG/lvelSzomaQ+c1bkoVuPLwW3ND0 fQafXf8rzmJ0gWvlKKdg3gxyZV7GnLbqQtKj01+C82fQ9S/9b9vxLjK/F+qt K5qBhYmt6yN0Ia/73SuZ8hkU78s5ZLS+C57pujvUG2aQd7NwobSlE5wWX07e GZjBtx0/r9w424mEGuH5+aEZnHWdO+p5rBPnNO9HedNnIG/fcOE3OpGz23Tk OXMGo8c5qUmbOvGAm9vr+/wM3G4LCYcP0MARbRFPE2Zh6Kghy8+ThsKhRvuI 1SxUBP4MOHqLhie7DXeeWcvCia8nzBQu07AmXf17/XoWfuldSYo/RsPOIpnY YhkW7GLNLPkkaGDyRdp5b2ehJkjf8bwwDZnH1smq7WThP+M11MElNBxpWBb9 cy8LZ9aV5LwZpeJM9/jnOBUWvnWwPlgWUrFp21WbK4dZWLniTebxX1T0Xe3e IqPBgtGNP81OSVTcZDZ+/KDNwjGV462mEVQ85v4dGWzCQqvdhdN37lJxXFPB ytCMhdKZQYkFRypE/OM3Cp5iYW/ph7XpdlRECke+f2TJgjL/w005p6jI2Pgo 3NWOhRnlMOPNh6i4f5HDQvEaC6beKq/3K1ChEe2ynunAQt18V7nbLiqqdl8N u3aLhS8VTxXfbKIixKn7tOwdFh7I5C65IU7uk26xrteVBQvnc8zbIsR+GL45 94CFEVGK5mp+KuIelpqvf8iC37YexdjFVDgVqYu2eLPwmCvm1HUOKhaOKYQa +7MgXvxP6dEkBSIW60KOhpD7mk7zUbooaP0QbMr9mgU5l6XafRQKIruXrc55 y0LOxgfP1rdRsOMaR7DSBxbK5d4ICjZQMJ7gYjwZRc4LrPxUXENBOnNcOPkz C8VZIQLxlRRo3Ot+JveN2F8sMjdXQgFfjoVhfxwLY+vl2i4WUVDF3bTicyIL zJUvlabzKQjRNKyySmHht1FNRkoeBaf9SwMl08h5YkzutzkUbKhUN2jNYEF4 PPxXTBYFPcK/BV//YsHResWjzl8UfDuh8Nc0m4XwGqnFR35S4Pgm/qlwHgue JmaNfzMoSGO/eZSXz4K9xwlzn3QK2BY+Ho5FLEQOGHBYp1Gglnvj7qZSFjRf bbW/lErBI6mzt2rKyfvfBar/7/8By721HDwrWXjdLrChPYUC4b69tntqWKDV zn44TthMR/ICrY4FM5uXNr3JFIR94zv7vJGFNQ2MpZGEqYKTJ9RaiF6/r9n6 gLD0Derx8Vbi/9whMw/CV2rLdSI7WLBWNdj3iXDCvnQNIxoLvGUrzAYJT7yK UuHqZmH29ZyxMTnvACtgf1IvCysSqbmthB+ccd1jNcCCtHjAvkfE3oKsi3LC wyzU7m9XMyL34dtoKJ1HZyGe7/e9Q+S+xx8qb3AcZyHkjewtLeKPl91bxTZN sPDj3OHfjsRfLZorV9VMsdCVfrD7ZyYFkjHzyzxZLCSfc7knRfxtLTDAs2eO hVUc3kLRvykYqcqZfcY1i19lMlcEcinYu/fbxOHFs+CQ6dDqJ/G88/IVfYxn Fs5ysSdoJN7cp+w7DZfNgtX/WW4r0YfWL/M2zhWEu3bwOpZRECBxpDFReBbn wrwONFZQsLZzXZnQ2llkpez9M0L0dvYIT0Gu2Cy2XKnf+r6e6PXLeNaN9bPY f7x7wbaJArmrJUnVm2bxLrZ4w5F2Cg5POL95tmMWp9fpf+EfpMDHzCr48O5Z PH3FuePmCIlvhn7A2J5ZGKycOkofo+DE/c2ehvtnccjCRlVqhgI7nhpbIfVZ hE49u3WVl4p4298Xco/MYufg9nI7ASqYZV/P3tCaBfubaa7LCircg9wNq/Vn wffKybdoLRXBojuUnp2cxakoLf9VslT83u7LK2Q/i8ht5w0WGVChULem4vl1 Yk/cTLmbMRUJ9748W3VzFly0tNp5M1JfKgrF1t6ZxR55Hcrq81T4OizeIek5 i2MKxzKf3KTCKNnTcEcIsYdn0kbjNRW9B9zeaGfNQnp/tNuWbirOdQpYluXM gtGWwPe3n4oW/zAp/T+zEHvn33VjhIry1p/fjhfP4sTtv2tjpqhIus/KMquZ hZVxRkfNUhru5d3uvNgzi22OvyR+ytEwYcfztbdvFpM3PGfpu2mwX/nqqu0g uU98LUVsHw3nrVMnro7O4lGXZaDhIRqOLpngcWLNQuj93N4D+jQI6TjKeQqy Yf7lvFqGHQ3vc5fzHxBiQ8/Wn3nLnobdSt/7x1ayIbn/deJGRxqOyfR9Pi/K hukVzmVHXGh4vMRi4+HNbJhYLmpJ8qFB9P7swrQ0G12nhu06/Gj4OhHanrCN jedcdbHTT2go6qp9u2EXGxcaS2VHn9Ow6I+2CMcBNvZ8Z/cPvqPhxYFeZpoy m/Rnv9/O72nYlORV6wA2Yk8Nqg5F0qD6ITuoQ4PYE5jnGPKFhsq1Zx1eabJR /y8hqTSaBosglr6BDhsaby4V9MXS4Oa+jz/bgA3RCesQajwNAlM1/c5GbLzL ZY/9TKQhzP568U5TNhrNOE67J9OwvWfZlx4zNs4dqIra/oP0t7Ox3uGn2Pj2 n877nFQatOu1rE+cZWPermSLSjoNTXo9aoLn2DC8J83/MYOGyYMbOe5fZKN1 4NhJmf/9viQ5q33fZTYO/nfo1tHfNKzafub3sB0bgtePndHLouFj5MzbT9fY oHaVDipl07BX7JXr2etsLN3gzL08h4a8Z/Lmq2+y4WQQ4FVG2GhpjWLFLTYs 7MsM//f7EuoDBxHvO2zsPmVhwCJ8fVpgQvkuGzp/6VZX82hYcIipZbqxkakR cbOAcECvZtK3B2xE/OK0W/yHhvWW3UHWD9lwubRhtxzhbw2eDuI+bMgfvJ2o RPjgsQ3H6nzZ6LjCaNlBuLTgt9wTfza2lI694SV86tBpfo0ANg4vPUQtIe/v T5nunw1iY/Mgf8QNwnfkQoqTX7AxY7RQuEDs4/2498uVEDa4sEHfifCrddXe Uq+J/7+2SVeS+0m/sLf+95YNA30+3RWEf/AJqL8IZ+Pk6ZZEReIfDc/ojbof 2NDko5ocIf6rnTnKwf2RjeC1gruUiH+tbnS1Z35m49PuWOWVxP9jfR6/HaOJ v/eb363NpOHBOckw2W9sDHktG3Ah8VrR9MuVFscG5gT9lpB4RhicMn+TyEb7 eoa5S+r/5p8pRaMUoofBN5Y1KTRkqbwU4Utjw7lsV7gQ0Uvrjqpal19s/MgU b1Mj+ooYFHLjzmaj/77Xx5PfiT3RxtJPc9nwdBZYdpLosX9z4533hUTfkmWd K4l+v9HWbpItYWPAzeFi1UcSv/enypLL2Ni+gi/emeh9cl37+qIqNqqPF5Y+ IPmR2SxZdLyWjTsXLqZ1vSH6fnX+eks9G0rx9Pd7Qkk+rezOG25ho+6JQPQT kl9CfEOXVnWzcax30P4gyc+6oh1C4b1svBh0khgj82Cot0Pm1gE2qu6pnXnm ToMEJ0PgIJ2N0PW9zc/u0CA3PZN4foYNo/Vtl17akvrRw8OOWzYH0/H9Jr81 aVj6UfvT/hVzuDVb7btVnYby8/7H8oTn8MlGZMJNhQbjNsEP9WvmcFn0HIMu T8O5utVH2RvnsK9UQnRoAw1386SCtBXmMKcwsOjCBBUqDy4q1e6fg0y0i8t7 OhVcKl9oZw7OwbclwLCc1EvfDNl911XnwPud7w+9jcxnCf+1hOjMQWWDeqNt AanX4djcZTGHo5f70/SeUcFwZfCcPz+HmfG4/I+PSX03+zLYdmEOIdEpSiMP qfi5fHly4+U5TApFj5k6U1H4oP1wmeMcwkIrYu+R+fGflZtlks8cRmpY7zU3 ULFk6883D+LmMBb0h/dvJOl/8QpC6+fnoKAR2VyzqgOpp6YFqzjmUaSQVf6F owOCSzIFHnLPwzxOWOHKUDtyzhzi7eedR+0Hme7ff9qxiU9jIWXlPGhdwREv b7Sjx9pwWG/bPJpOdntLlrbBXuxqyT2TeUjtm+34Zd+KwoIdRbvM5uFU3fHV +WQrJG/Q82nm89jPEzIuodaKqiLHHC3LeXhVOXocWN2KPbdc0lbZzWObiPHl 15n/MFXp8+mb+zwyHnrd+Mv5Dw+8P3i0xsyDq2YuwvZBM5bd5tE5/30ei9VV w/fZNuPN5WvCPfHzqMn6pjVo2IxkXaUoegrhGvopYalm9AhV53NlzyM8KUbq aH4TdMM5eLfVziPx0r9+BmcTRNIsA27NzuPMDllH90sNiPpacII1N49VCv5S 2XoN2P1mu6Q7xwKeOu/zafmvAdpuU/G+ixdwdHvE7IfZetxTD6x+u3wBYTJr /rN6Wg9aZdaqPKkFXKP21yyPrsP3vvVvBfUW0LFccvXFnzXwfed9rv3YAtb0 Vr8tD6mBtdHwljjDBTxuuiTVeaMG4r9+JeibLeDbz7enV2+twePA04VPrBYQ 07mGYfS0GpcVXo/xuSwg/j3/HW7NKmgMcqS13F2AZwzHgLJ4FSTfX74Xc38B xZrXrjOolWhYup9Hx2sBkwtfr7b8V4kjbQ3ifoELKG09UO+SX4FNXqu0eD4v 4P2Zw3NzMaWY339vWePXBWj2RxpWqZaiebiz5nPsAhY3jTU01JUgyCz57NHE BYxvSt4lNVWMBVmjm96/FiBjp7k4bmMRWjoy9ptmLyAxVKBM8nMhUoM3zm/O W8DC1Piuwq2FsJ8f9c0vWkCbgktq78YCtFYHhnPXLuCuVtAzx4E8pPtMXait X8AqnvPDgYZ5CD5ouS2qaQG+tE+BF5NzoftpZ4pa+wLe9EZtqLHOgfSpEBdh 6gK0bqWcKrmYDa7l8yq0zgUoKPlXSI39RuadihKP/gUM3XaLtivNRMiOfYGG QwsQmY088H5FBm7Qwkw20hdQz+U/nLovDXqvFomNjS0gocjJe373D8joXe3I YRJ7PdY2bpxIwiLOuo9BUwvIOy5yMOFKAig/DtqdYy2Ae3cfZ311DH7ZRe3a PbcAK5EYobKpSLyS5J9YWFjA//++//8AH4A9Vg== "]]}, Annotation[#, "Charting`Private`Tag$5524#1"]& ]}, {}}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->NCache[ Rational[1, 3], 0.3333333333333333], Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*SubscriptBox[\\(E\\), \\(c\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.2, FormBox[ TagBox[ InterpretationBox["\"0.2\"", 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.4, FormBox[ TagBox[ InterpretationBox["\"0.4\"", 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.6, FormBox[ TagBox[ InterpretationBox["\"0.6\"", 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.8, FormBox[ TagBox[ InterpretationBox["\"0.8\"", 0.8, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, ImageSize->{861.7031250000001, Automatic}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {0., 0.8138650363163404}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV2Hk8VF0YB3BLyRYRiZRKm0K0aFM/oRRJlvYiUtKikpRKUmhDu2QLSdkJ CRXZ10T2nRkzc4UZy4yd97z/8Pl+5s7cc895znOe5y6xuWx2RoCPj+8b+fP/ /8CouVJMeT6wWnQqaOL3MENP4UqbvD5W2GbsOtAXhvXv/YOS5S0QHsToe3Es Clc0JM18Ik5AKCfqab9uPDz1bEpeNtqi1fmI75qdX7DMe+HHaSV7KCbOli8Q TsGE4em31iscIP5a0O90fyqeFrz8t9n5KmRvSl+oC0rDYdvhHy/lnTA/kXfE xCIdeXoKablBzii5yvz1qDkDGsrbE4eUXKAWtynFzOQ7ggRORS3/cBth8zyH KhJ+IEp5Z7Ga0F18rzztMMT+Ccstdk/OP7wHq2LdZLut2QhdOzPtSqQ7zp/e OeNEXjZWZHMLhuruY6qm5u5Zs19oWftQz0feA2e37POYQ/uF6qVvZlcreOJQ /zYpD/McGEpGa/8M8oKB3DWz9cM54HPbln6o9SHSdUL+nb2di3lxEpLzdR7j rfOLo8XCebhoafnlofUTPDmsOe7tkoelv9nqiz88hbfVloTxwTx8tmzfEVHt jaGZjdbxZ/LhGye9ynSFL/pUKj+8as/HroUREZTdMwzIZFrKmBfgbkHAnF8W zzG55BhDJ7cAR+/S9vtwn6PDJ+PlVs1CbNBS9Tnq9wLBgwMPFwcXQrLPqXT5 ppfY+NJQQ2JWERQ8LZ2FWC/BF75v8oJLEfJPCu35efMVbO/4fj1TU4Rztjoq UZqv0Ra+KKtvTzFul7/NO5TxGowRIStuUDEOebYLKB9/g6H4YfXTU8XQ3K6y kz3+BuvSproOWZZAnHvVLTPID9UZMnvav5eAGZvx4+H2t3jREbFdQqEUx6rN 11ky3kLk2lSR661SBCvu27rYzR++e5a+9flTijn6XfG8le8wJCYdcE69DObe LV+/Zb9DR9j29M33y6Cuv4LrYR2A4bDBqmMNZRCZcFhvKhCI7c3Hq+zWloOe nHZ14YdARK+6ftveoxxZF/gSKb0gOOx8d+tcfTnWvXq3LLsnCFePi97zWfsb zk0vVO97BiOj26bOzfU3TF81nt+/IgQVA4bxn37/hqqRcpRCYQgmBOw5/xZV QFjwIpNh9x4rX4YZmDtUwCp9KinLIhQ+aV4BZjP/QFblufoRvzDkWsi5jwf9 gbtw8srH8hGwTgq+VZpZidUGLx59uRKB8O77F5d1VKLK8zLVVBiBeIFdISuF qrBMUDVG3fkj1m92KdtgUoWCyQj16qpICKyLsgxpqYL4oN9GJe8owLunT673 L/xbbumlTpF917jkiX1bDXYqHo1oPZgA0xKRicaJGjREX088nZQAzbg+m1cL alFSJpo8XyARD4xtjq3fVItFPS6n49QSob3+SPkCi1pcttdazteciMuHNZ8L F9RC2jbh88fNX+ATE1mlHl6HI0fDEjj9KTgcGbJxOxrAbrIQDVdIhabLed2D hxrgZSl8xlwvFSm7+0rNLjUg+fRlha+vU9GsuV1qOqABEg7bPW9v+orlMkGr l3EbkH+/4ZiQaxouzt8vUh/RiHWxUkKKwhnYZBi39NJgE8Sm3U8YLMqCqsS/ wYlDrfC3P2ypujsL5vF1Mz6fa8WyatVTUg5Z+Fp+QUH/Vit2RNWdbvqRhaT9 NWkmwa1Ij/JLTVPPRpJ7ybm0zlb0mvd8N/qdDc1q1wUt59tw8PPb0muzc5As IMF7urkdy037WLlP83BcREAlQrUDCm4GW+3C8hB+ZaTfa0MH5sSFPhVNy8Nb yRMvTmt3YEzYXN20Mw+hp0Kuie7rwJ/stGutm/MxYsgNl7zQgVsa7lMjXfmY f+ii+dSnDvyWlJFR1ylEaLzejZCFnbjxewv8h4qRJz9QqzvaCbkUqVZ+/grU +htOVtjQ8bVTr6xCuwqxLvLNwfFdyDkfvOBoTzXalf+6c7IZSKYuXLDkVUPz m5Otfx4DEee2Zp7mq8H7xPkt24sY8Dxbd8xBpgZJZz1fu1cwsMdGKuCBdg0e LnHa3NPCQMVRz/nx3jVQcd+3wWSMgeY9l2QF1Wpx9FdXipkmE9wV2yXjLtUh TEo52t2fiR2duoVPbtZhpFC3tD6QCa/gPW7nHtSBvoZ3WO09E/NkLNjK7+rw KLgl7fdHJrT4L1QE5NVBLaMsZuALEzeb/J89WlCPY231GtllTEw8G5K0La7H cm/7vzemmBAYjZmzYHkjQoP35XgdY2FBue4g1jYCNQFbpE6ysCGsocZ2SyOW K/4NfmfFwpm9swLjjRvB8ly9NsKWhaJ3Nst1nRtR/c7eI9SBhWdb5bfaFzZi Yc49B637LCje8TqdZt+Ey+l9hY2fWNh4YOHu5mtNMI9c0KQczcL+ZSmr+O82 QbFX5d/5WBbcyjp6DV82YSTph+BgIgudittvtmY0YeebM8r/0lmI+jHoPVO8 GYb/Kt1ul7KgNX3qq3l8M8waf0Qq9bKwzzj7/q5vzYgetmQvYrNwOlDJZFNO M54f6zio2M/C802tTIXaZmjxxl2luCxQl4/Ld042wyTiiX7XBAtB7QfvXDFu QUaR2+g6cQr8OYa6Pj0t+N4686S9CoX5c6Il3HgtUBOtElNbQ0HdUqTpCl8r 3IeUaX2qFI6NFV6zkGnFqJev+CUNCinrdn1coN2KH2eazcw3UTj7AcLRT1tR NdzQV6hPocxjw++C1W24U8A4am5JYatkqcCLjW3YGviRb8qKwud31puO67Th 3etyr0hrCg/ifUPZB9sgefv9un5bcn09y3G+exss9RWkLl0g168Jljtf1wbp hCXq0zco6FL3E4V023HDPXDA9xkFF/XfJRcM2jHnQqgC7zmFxGvyXX/2tWP1 ft01x19SWDSVIB94uB3f0q1nKb2hMCrdcn/tpXZsPiD7xSeAXK+96eAR/3Z4 3xiYNesjBaXn/0aj+tqh0XzA7MI3Cj+t3aK+DLZjFmvC9U46Bcv1c49mjrTj snRdy9MMCkG1W7+VCXQgLSBj68fvZD4XPnFmz+vAkkvxl3KyKUhHrxrcgA4c rvrZGFlEIen29/Dt+h1QLOUeDyymcMD4gNnuvR2QCi2e61tC4RnnRtJh8w6s yaxf6VBGQXxT4eVbdh2opbt0zf9DYWbemZ6sZx0InRyunl9HIeLNaGDR6w5s jznyh0Osb+djVPmuAwsNb8worKdwXzQ1uvNDB37cuSjn0Ehh6sAM+5nfOmDU +O5fZAuFkZbwLsP2DiTf0bDLpVF4m6D1xryrAwGPIibu0ilouZfon+juwGV2 fNnmLgrXlw18uDTUAeNrg4qfGBQGzu+0eS7cCVnN5e4OFIV/w22tNRqdcGCG OXzuo/DV7lmOoVYnHu+Sn3mQTeFe3Y7IrG2dUHeLfzRNPC8t+FLU7k7skfp8 eH8/WV/n4xN3TnRCon1c7u8ghdkM0fZ+607MinqkcHmIQv3BjNyzdp2wKZMV E+FScNgo//SAYyes1wV91eJRCBiqlV/2qBP2KzdudRmhcMbWa9LfpxOpX8IT ZoxS0Kje2DH7VScGH7bO9SUuSH79eTi4EwtXLI0KGKPQ72i2qTS5E996LosE TlDY019u4dhGxr+AnrKZrxtzrV03M+mdKGKOLvlA3PpHVfFEdyfizXXcxPi7 4ZT4lLaL24nynDjRWuL3l/c6yovRUCWrbGcm2I3zbSMHfefQoNVRdziWeIPJ 5y2C82g402K+ZcaMbpSoz+LvXUzDjSLm7zhiXm/es2wtGp4sstzNmtmNXyed rm3UpiGGrZqlKdQN73Llw9E7aZAz3qviQrw07v6i1/toJG9EVfLP6kav4joB ETMa3GPF5ugRf/Pu6HI9TMMi6VHcJza+qBNnZ0PDp54EpzHi+c3s5812NGia +bmsF+5Gp9F7J9NLNHwM3XnlPPHNNVPbtt0k43dZtL6KWC8wTinRlQaa9oVp AZFuSIidFFz+gIaBk8k/NIkjujNLJHxp0GfZz3lM7PDWRPn8KxpSnZL/JRJv 0qfdzvenoWzHlrJaYr5+5+rFITQI9Ap9GSMuCRZVu/OBBreRlcGKot14bRji WfeZhl9xn3y0iS2HNVvXxdOgo/biwTHi/gNHn1HfaEjcUO72nDhjsoep/5OG sys3en0m9oi+pxOaS8PWTM2XP4n3H5Z5N15Ew80d5R+qiOfP+Nx/6DcNF+qk MunEnYnbDL/8pUHEU6R+iDjmZEX47AYyX0o/xwTEyHqLnh4/10rW4+gWZUni HWk88zwaDdrZHqbyxMK2T2KVKBqmM6M8lxBXzVk083YfDYUvkrJWEgf9SDpZ O0iDxemP02uIz5zf9VVzlNxPw3eXOrG6XIOEzxQNkTVOL/73SO5FO5YgHeJS NjRV4pwrfNl6InQM37XcpkLsvfD1/PcSdGQHOb5TJj5UsvLq2Fw6FhdHTi4g VrqRWXxQno4BfcFz0sQsZZOlSYvo4NvwvF6I+Mufzlviy+j4EXzQZJQ87x1X 5792KnQscDheRhHvXi2qmqtOh7lzlEk98Zy6YI9FG+iIvWTQkEfc8ECzxWUL HRYD2vYJxOEa+RtrdtCx4smL6bfEF1uO+Gro0+H5YV/QXWKtJz2Mp3vpUPO7 jtPEfJvugbmfDpGIudQu4hLaXH9dC/K8Y2rvVhC/ev6JE3yUjtlJpSYziVd0 /w6zsKVDYHfcn+8kXjh+NmMJ9nS0jEwFvCHO0OOZiV2mY+839oWLxMbBC2fk uNDhYF68RIbY6cDFs2uf0fE4fl6rEYnnHZPTP5+8pkO/T6FVhnhW9Cs5xjs6 FBsH6E1kfwQIZhYFRdChrLtpli3xr68ia0Qz6PAqzA05Qfbfk9PBD85k0bFs oVytLLHFHM3m7Dw6XiVdkSkn+5dlf8TnRgVZny8mkRuJJRZ+YtPpdDgZXFJi k3ygc+hBC42iI/Fxu1MIseMzq9LOPvJ9G8O5+4hr+ed/ah+hIz553ppwgW6E MB5ZNot34bXf8sItJN/8UTqzr0mqCwarO2ybSH4SOLpza+O8LgjyfhjdJj5b Oipbv7gLcSf6h1KnyXmfeL7874Yu8GW0pM6bonCK2p1ZtaULX8V2BkdPUni5 VDmqckcXHrkPlmsT8143eVTs6cJVVUuxEyQ//nTZp116ogva4aM8T5I/jfXU Y3I8umDlJPv2IcnHd++Ivvv1uAtVxTfm8REnpjK8sn27EHDSr82Z5G+ZVe9t fvp3Iat2pYkVye/N4nMUMmK7wElwj1gwQOFibf+jpOoueBcUr9XtpeBtn3o2 dBkDJ9ZmzjHopNCtE/dIbDUD+748j7/ZQcFg/sdo57UMfGu8avi5nYJA4eu+ fVsZUDeJuMPfRuqFZU7OoyYMLJw9XRbYROqXtnVeZrcZqP+Tp3GlmsLOg4kf Z1QxUL78VYZ/HoUQ1c+Fl+sY+BPcvOdJLoUJwVCqsZkBwxdh9S45FL59eaaW xCSu3jRpRs579TmXU09OMqBiMGLZm0mRc14t/+sqJmS/RUbnfCHzpxNDP+fG xPgWpVxOCIXvEf8Cb3gwcWZ05pr0YHJeC6uaez1mQimV2eQWREHiT+yvD6+Y eLzHQ16Y1CsrrOJDWj8xsdY7WXQGqWcOuSYdsfjDhKowZyLqCYXU9LQyLGEB F18vTHSicGvhyIP9K1hIb9m+WvcaBR33zdtOrmFhedfBx1VXSb22Jz3q1kYW 6dOO6vQ5UKDXZXil7mXBbGlmkJQ9WR/eD501jiyk3Iy8KHySgtO6vJR5uSzo znyZnK5H5m/D4tAXRSw8qLrQMLiTwhGtO0/Ff7Pw28ZAXlWHwratG2wEGlhY RKl2+2mT9dCNkOzrI+Nb+ZB5cCOpd0w9zucrUGA/2i19awWF6Cv6i50cSRzk 6oxYz6LQFp/3tHJJN06VyjOHyH3Hz1cHqtz6h54sg9J76iys2Tlr6mxmD/Tb dZuekf4iMTpmZX12D/4ZugqK+jGxQeaA6d6CHvjoxrA9yDxqM/0j1lT2QFbe YrOrLxP7fVYbcRg9EKBP+d4k6+DYYOzvIt2LFqewn+FXmEi/+nqdt30v/Jz2 Gs42JP1L0+YTkw696DG1Nko2YCJHv8XTwakXSQOZVsd3MVEit6LhgFsv/kkP 9yfpMNH8I81N9k0vZp5aLXlrExN8ok1lIdm9yG6K5HdfzoRB+BK7JLk+ZNxy H8kVJOP1l1hRoNgHBQm7CAY/E4t9x+mNS/pQ5dz2UJyPiTGXGpsZqn24H6C1 1GaCgTjTx5aHdfrwMXGwZSOXgbn8/Qcnz/XhZFLhzsckLvmGW2SkHfrw3rA3 kt7FQE9Pyd8V1/qgXlrE06MzUFAfYXrAtQ9FFnMfSHQw4JJ4xPjDiz6wX7g9 qG5koM0qW39vRh/4po8lqpH+r+xgnKBlVh8ucR1oZeVknxkF5Djm9eH5yzPx V8oYeLnJSSfodx/yYbyxoJiBXZKrtNmdfdivRFOOJv3lupmy44KsPvwKPL3+ ci4Di8b5M+b39qGs0GDNlhwGRhhNm3SH+7BNJ2usKYuBmJ/P1r8RY5PzUmmx ZSYD/il3BqLmsFGxZuFtowwGOc/tk37KsqHzO154RzoDln56a1lKbNReOtu6 Lo0BKYfh1ds2sNHw8fOpE8kMTJ2mUyZb2Ljl+WG70xcGuo9WfrbdwUaTx9Fn L5IYyNsVs8J3DxsycYYJzQkM3FhotbTjBBtJXmmxqbEM2BzQONRszcbCk+HB kzEM7H/A/6TuLBunNy8UNCJeQX3oL7/ChmrFCT1eFAPSiteXF19n436Fh4oF 8eT+3UfzbrGhtUogMO0zA9UprOwMDzZsEro2PPvEQDYzfSj1MRv8hQfsBIlj FJ6uSvJl48uA/BbXSAbu31N7/smfPN/WxjL3jww4JE/lhgezYXXv7Ftx4qOM iuHgcDa2brklHRzBgMY+R6vXsWxINR1SqfjAgKKb3qtnSWyMCWiVXSGe9UWm 8MlXNlwOFKnNJx6gd415ZrLB4i40zQ9noFUuTd09mw2xg7JbbhKXGD6yuZPP Rn3MMZYGcarrUb8bJWzEFNhZs8MYCE1cXeJYwcbMbw8ik4m9aeOTl6qJ/XLS XYlvzivXtG8g8799ZrAx8em9IWdsW9koVRg1VSbef+fyOysaG2Ejco1ToQxs TdApP8Yi11d/0monXtEpxX+olw2l9IxzhcRSsrQNpgNsLHivfjWFeMIg5dy+ YTZmm8cd+ETMuuUZZDBBnt8mdlYocfehNefC+DjQEr/kF0J8ijNXQEmQg0Ht iYlw4trHE4FBMzmIeLxuWxyxkXLXRgVhDuZrpRz4QZz9vbzirSgHqujX/kus deirvexsDmwvLJ/uI45lhwi+kuTgg/URvznkeZY+fhg8R5qDn/kn+TcT+y+9 sslXhgOJ4zU7zhBLfD9SKSbHgaLaGmN/Yo+DOy88lueg7sfb1ZXEo30qM2cp cjBz6+IaSTLfDo+k33ss4kAj2c/Qgpi+ZHyzwBIOHlkFPAoh/mNRdnFyOQf3 Hhab65P13N2XInR7FQeHkzc1vSf+/jA4dGQ1B0by6Ur8JD4+ZThUD64l97M+ VlVNrGhx2OHqOg7elK3bYkDi6WUvhNkbOPAwe74/i/juYint7i0crH2q7ZRN 4nEofbTGTpuD+I8Ft/eSeD1v3nm5awcHruHGi+uJD3olf2jX48Ag5LeqEIl/ 1Z6DYnXGHCSvw68Isl++WezLenKAA7XVXrn2ZH/p/dC9tsOcA22RdWob4xg4 5ru26eMRDg49rpzXFs/AYw2RGKfTHNypaz98l+xfmXfTlqvOcpDv+SbmOtnf ofw86eZzZDwxDkuupZDfr+q8pefAgXj6KuN7XxlgOH03lHbhwKq12qeT5A/H li9T+bc5KJ25tEXkO9mfu6K+uNzlYHjnpkmtH+T35fwUOh5w4DCL8yCc5CO9 9MvdCb4c2IuPX/lB8lno5NInxhEcKCibPRwh+VH1rPwO/k8cPLj77daNSgbS fksOpERx0O3D7z5O6orf7yeOKiZwcD5k9SvpWnK/nbUq/9I5+Fd9yPY2qSuO eT0uflTBgekXSlu1m+RzSY5w3hgHsVHX5OKEmaj68eTh3kkyv3IHR1+IMvHy 4nKhimkO6rvUql3EmZAuOSbYOKMfJccD9prNIfbMn2RL9OPe81Kh5fOZmDMe MLBAuR9fCy7f30PqEnHmruZrRv2I7ki6CXK+zcgKTFAO6kei78hk40smLmzI bBAxGiDx7HC8n9QJMXttQn/yBlDs+GTXghIWNqgu2YHRAYgEeu5fUMbCT4n2 pqzxARjsLuRTIHXAn78n5X7xDULT4+zxuVUsDJ086psrOgjJItkcLqkLdjge uFO0aBB/jGVUb1Lk+oAdR6p2DyKSZiB0gZz/R10nuWZ7B3Gk6Gb+dhEKnVbf X/01GoRJ8k5hSTEKQ8u2VlQfGETDkzaZOAkK8gkbd9cdG4TI00aNOlkKNrmq G5odBpE168KXTmUK3H8Kcxh+g2AfcbKr3EHhdTCzMOjdIIyLWzb4kXplvUmK m3nQIExtVFcc1aVw9YsxOztsEFp8V6427KLQe/Pe78DYQRgMj7zJ3UehaybD 2zRnEEmFabe3H6NQo5Qk8qN3ENzAi/a5pN5yqnT9dY0zCNvdUw5G1ynMfWDo snpwEAdNt3pWOlMwZdBYb0cGwXtD66hzoVAeO6/IUXAINpl5JuVuFPK33PFa JT8EZbps+LGnpL4zNxB8rT+E3JN/AydCKTwy+uapaDCEHxfDlDTCKZzQUxH+ uHcIy63Eu60/kHprvdjsr/uHoOBDM83+SGG/dMW8+iND8PAasjsXTYH159Bq xUtD6LGyf3AmmYLC/rOmEW+GwHPLNZEm9W/vrrq/qv5DMN33xkQin0L29j2H UgOGoJfS/ly4gNR/aquPF7wfQnnRpbrhQgrJ4n22rKgh+AfrXv1VSmFf6fWb qj+H0Ls0IpvvLwW3PZ7vUxhDKGGNq60l9XmV5bkTGtQQRG8eO8gmXnbdSD72 3xDENfvL4kg9XxIm9eoDZwgqyd6xy2mkHh0P9no5NoR1ZwfX8DMofI77eumK BBdpfEsX2/2jMJb7bnXPHC6u3v6pL95D+pHGO0y7uVzE9hd9SyAeENKztprP RUr+pG8/6Se0T1VY7F/KBet02cApDoU/0qxtqlpcBI4VP+sj/chSldKRT5u5 qGVnR94k/cp1xKcqb+PibforcX7SzyhcdFq7QIcLIbH4PPFhCrb5fMqihlzs EmB0SY5S+NpEa/Pcx8VAX7ejN7HIQEEQvwkXw/4v9s8i/VL8Ip95o+ZcDFlH 9Q8Tj9yQF2Wd5GJE15iRR/orQ9+JgtOnuNAsjGKuJ/1XcETbgzYbLtrmX98U Rqxb+XGy1o6LQSudHGfSv3mvXteff5ULD4NZHrNJv7ekxbD+gycXJ0RvJVOk X3ySsy3h4CMubs+p/6xP+smBT6pes55y8arA+H0wcY6jxIYLz7m4onz22d4Z 3bAVrnq2LpALuUtvbj8m/WpZb85ZejAXEtfGb1YTb/ybvN0vlIs+7103FpJ+ Vyjkzb/Rj1xYXbjoHEX8ef1Rg1+JXNg8M70bRfrlOfKGi64lc3GAvuw+ndhl ait32VcuJpmfvRaSftuwWPHDo0wusjs/v3hM/CV+9q2tP7lgfpXz/06s8Hrq QE82ub5f8X0v8T/L9imTAi5+tFbE7yX9vIV+ZQ1/MRezpa6kORF/V8mJTS7l Ij7qaXYwsffQh2NylVwkXpSvpoiHGl5rFv/l4m+Qa6u4aDdOZnkK364l66G9 k1IjVn9i97W1iYuE2SXT9sR+l4/4PG8l8RBzT8yTeNpir61uBxdmr1zkQojP bd26bYjGhY5+nHKq6P/9+BrpSAYXh1bKaJQQb56pSB2muJjwjtRuIQ7tFs8W 6eHifuyJvX3Ewn8m/TL7uNjxQf3QJPHV1L5Ll/rJ812TOS0q1o3GgDZ9pSEu 2DOErsgS6977s6CSx4XFkvE7i4ijz/wauD9K4sX53+PlxNJGX4o3THDx6+Vv v9XEtzQ+hDKmuDjDDPygRkyTfX3Dn58Hep5h4v/vl/aNe+w3nMFD8PGq7/9/ ntJ+ffmEEA8/M1SK//++YsHZiTgRHjwrDGr+/33PmMN/rcR5uGer3PH//fue 74mWkuQhe3Fyz//jO+S8xT1XiodVD3uH/x//z+Orj1yX4SGCWyQw9f/7m50L 1q6U4+F6xLbZbGLfFeJCDfI8XP64Ta6VeFhssvmJIg/6tJ+LS4lP9fcmayvx ULE4U+UrcVFt65O+JTwcGVm+7j2xxvcK69BlPNAah7Z4EfuHZW82W8nDXcmF Oy/8/37pYZLkjNU8PP7yymA/sf3FcEaqKg/SqcbGa4m3bvJ4Lb+Oh9Ysy0P/ SHzU2shrBW/gYWsJk1ZEfM03vm7xJh6SvnG+RBDHdtUrrNLmYZbVcdnDxHuk HL7H7ODhglHUZzXiLm1By7U7eRD0MHH9//3ootdqYVq7eSiKvd0dSeI3IytH N2MPD7Wfeu47Ex/+d5i+3YiHEUHvE/rEz3Xvr9x1gAc7o9V/G8l+EeivjTM/ xkO4aUzZANlfIYoXTepO8CAWcuhSCvG2Pfz9x6x4KBWp2e9E7PR+zQYbWx7e PVao7iP7lWF8L+OKAw/XMu0Zv8n+vu8ie2LoCg/16Qe87xMrfYyevHGNh+6x CMcNxEcmqnXcbvLQJmDF94rkh9JolUKf+zzMWPtq0TaST87V/jwn5ckD5WFV 0M7fjRkCFqJvHvJwtXplvAfxjqN3jYO8eRBSvbK9kOSjxFl//0b78RB/fe3R TdPk/LW9014YTdbTDzdyxyloPJe6bxTHw5JGCzlj4vLMSOWKBB7KV1nyqkl+ FJpbebY2hYd5CYJX20g+vflreS/9Jw8GST6H2kj+PbGoYpT/L4m/uLuVTwYp SMg7pmbW8FAy++DgvwEKv+bKXr1ez4P40ISgEfEKkeMsVgsP626b9gv0U2AP MmorWDxMKfeMHO2jcL94Kjl4iofPynlhESwKG/LCLh/mH4ZFDyOczqTA/Km/ RmrGMPI7hp4vJd6X8iTcQ2QY3u/3rffvoiD7ft6LCzLD2H5mrc/5TnJeOak7 bFk9jLT3Cc4xTRSOXa5UGVQdhtobea2SRgqzzzt1xa4dhquzWjujgYKjVcaJ xRuHUeaZOihfT2Gb4W6jWTrDkGzsnGtXTeG3kuWqmoPDcHM1kAkuI/VNiU/n FfdhpP8IbHbOpNAsVnNu4sEw2usbhM9mUMjZp8h+6DWMyNIFVubpFJ7/jh4P eToMDc70o1VpFFZXFcqUvxnGiM7D8u9fKFg28BuoRA9DZNJ6wDuKQgHzekxH 1TAWdJtZlbyhELvqh+almmFcF/FwvPuawiv7Gd9G6oZxySI5SuMVhVP/XuZJ tgxj56b1D549J+dzX0LLduYwOIZfmrVIPbOWR0kGjA9D7sSWkTX3KPjPsHQy WzaCV68nNeLPUaRfl9tYuWIEV0ZdhdTtyPma+4drojKCtf6bxWLPkHi5r3fD WH0EN5dahYXbUCiaXnVrz+YRHHG7NOpygsLw2KDbjn0juDF7kVKlCYVD/Y+f rnYagQ/9k5XSRgrfD+jti3IegbWOYIDtenLeJ06Ir3IZwd3ZXWOfNCn0OVz2 XX53BEm1wmtV1Cl49li8WPxoBHlSZkdkV1JIYSq9nRc0AiE+Z/vX80l915oa LpA3gojV0zvXjLHgK+7qmlYwgsSbO4VFR1gQ3aZ/5GLxCLSCpN4wuCwI+FfN rv09AosgT753/SwMmLJvRjWMoCPruxSNRerh/FUmB9gjWF48N1msjgXvuMDx YIVR6G+3uRmTxMJMV3eLLVdHob45J1PoFAsp/T2jWddG4Wy3QN/9JAu2Z4+8 3+08ipkl0T9Gj7GQZ7K22/z2KA7o7b5PP8iCx9IWNwfPUbzP2KEbZsTCjKLN MR/ejeKbguGSNC0yvrkcfomcUVh2bDp4QIwFvijLhE7pMezYfTdfNp6Jgp46 h/eyY7h6/qx1QTQT3hqm6ifmj6F8fOZpp09MyH3Ti6tZOIbxoPevikKZUC9c FVO0agwbHS2fmb5i4kTXQGT8jjHc2vxMtusGE+lLHobcOj+G3WfjN4qBCceA BB/pnDGIKay5JZtP+qmJgIc5eWM4J3AqX+UX6fctvdwdC8dgLGy8Zxvp1x4q n7xeVTaGj0EqnIOpDATFip58WTeGZTK3P9iT/jX/5xlV6d4xTDl+dBDxZGA+ bUGp1PxxTO1C22JdBn6seSQs5TAOs8P3dY4ld0HK0FH1vsQEVv5mJVp40dGs 9uevy/cJRNjU6GvPpOH9PylXwawJtP22eakw3QmbKPMVPr8mQLOyLh4a6QS1 rO5maMEE6TPD6EE9neAtaF1Y+GcCC8cUzmT+7YSUaI+dTNcExPKzFqiHdWI3 Y9ZE/OxJROg7y5dv7kRiCJbRLSdx665gOPNoBwZvDc6ytp5Emqtz+S+zDmgd /vSv5fQkYtevb/Yz6kCmpGRy3blJuKnOe6q5vQMF91p3ljpOYs5VpXurFneg ycbV6ovXJNnXSUvkutohtDIz4F78JKxX43PB+XacTNCSWjg1CV3/Na8OFLbi 67ERiT98U6i7+mOZV0orJIQyxB8IToGrwIyIDmtF9ontwpTwFEx8ZvCybrdi qaj+dMrcKVy7bGQ3f20rGLamvftUptCe9vba6ZctcFC4WHzHYgp+DXvdrQyb UZCvVrj28BTuubufV9/YDKWr7LzOo1PoUHjmzFRqxp9Cx+w9VlMY3q6wQY7b hHXXXdJkzk8hL1g+1y6kCcMVXh9j3aYQtiLfPKSnEfc8w9ybo6cgnjey4uv1 Bsy+McvQOm4KZ3I0zcctGxBw7pI0I2EK61fRnVfsaUCy0ZYP7JQpVBaL/VVT aABDqjJPIIuMt0LMdOR7PYxC+IRV/k7hSElk5ObJOsxLs/K9Pj6FvgsZG7rP 1OLD5/xDY5NTeGoqI2loVAuNgDVKbnzTuJ7h8O+BRi32ug4nPJo5DaHL1LoH YzW4o/esMlByGocGJe6Fetegs+KnTI7yNAyP1EaWfK5GHGthoMS+aUxyqt67 ZFbhUbDnqdb903j/8kZip18VbM16l8ebTuNu206bsatVUPz+PdH48DTaq3fy 1FZW4cmz4wXeNtOoMZXYdsGnEue03vWLukyje2pjt4zBH+j/40trvD0N/30s bWPFP1AKPXcn+i65X10jn3RnBWpFNs8y9JjG0am0wCHNCuxqqVV8/GwaFQ84 mt555Vj8ckfnkZfTGDr0dNbms+WY2B35adWbaYga6IoGCZUjJfH6uqKAacxO 9C48oleGpR4ye2ZFTkPzyfcZM2NKoK+/e96Fz9PQ23oxsv1ACZJUqsUtYqaR zvohaNVRjIGQk28C4qdxuWJBwTXrYjw/nHxyd9I0AlZ2T64YLoL6HJEVA8nT iFUozBh+UoQ9v+6zur5OQyfGI1pWqgjLnLvjUtOn8Tf8W1lIQCF+qes4W3+f xolCvVOlKwtRInr7TETWNKakdgxb+hdgnc+ukYs500hMeuA2rlCAl3sf5w7l TWP7MrP9VyPz4TDFeZRXOI36m9EXWUvyIZ622/RKyTQSRLrOV4bmYfm57Lm2 5dPYSBd1hkQedq8a6CismEZwgfLhk69z0Vz5LETw7zQY/FKpjt05+OY1fPpv zTRSwyMGnpnmoGrT1RWF9dMwTVsodDjmF65wCvocm8j6Lq8tPiX5C0Yf1VN0 W6ch6OygWmWbDdZJjzt97dN4Y9R0jnsjCysL9K9/p03j64PWtlUzf+I/Lr9M Bg== "]], Line[{{1.995231006039287, 0.09754300020037165}, { 1.9959157171960376`, 0.09028562328817241}, {1.9965678230596096`, 0.08277883160432316}, {1.9972199289231818`, 0.07451362738473755}, {1.9979784310066, 0.06355310697569093}, { 1.9986957474565292`, 0.05105672074749609}, {1.9993135319588609`, 0.037046754363624645`}, {1.9999656378224329`, 0.008289939594768888}}]}, "Charting`Private`Tag$5460#1"]}}, {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw1m2k4lO/bxy0VIUWlSFRKkpZfiZR8hbInW9JCSYqKkhQlESKFSlKJog1l z1bZsi/Z1ywzY18HM7YxeK7/i+eV43PM3Pd1Xuf5PbfjMButHIwucnFwcCxw c3D876/Oxb7qnP6LKvvE9j5wy9iDRepi1ztENSCzkm/0+MgH7I0IDUsWNcH4 htsnnp+KRpf4Zo/b0haouPuvm1MgHroVjUnvRK0xcOJCpMBQIjY/Wf9pQdIW 7ebzyoW8KWDrXHh1Xtoe/12SKr8w9gNm1lO/n4s64c2zo8kGJhnIVxdL+xPm jMTOjn7f1kzsljqUwJR0wY/kT/FGBr/AS/OMPCF9H4l8ipTrHNlo2/VI/amo F2I2Zjmt6MxFcMTanC2nvUF3KD+01yEPOstjlLPCfKDI/r1571QeUkfK99El /XDnxBdpUfYfBHwXljGUDoClUmf4c0oBjqz/+LH/UiAk9Dn3rjQuxP3CNyty TYJQsrnOAn8KIa8g99Q85Bm2pIUYSrwrwvvVBj6PRYOxRO/91mmlEtyteJV/ IjMYy8KLnoyGleCEN4VL6vRLBPA/jjk7XwKBiRvuP8NCsC5ZUqT5Vynu1AXf GZJ8jVQ3G4uhbeUwfNFid0w6HDM5OjGBf/9CTlcqWqwoHBXS/qtrJCrBy321 t+dSBIpNb39VtK+EZcZ8YrbJewSfjqaqLa7C6m1BO0+GfMCpnBZmb1gVPHiT t/qJfgRnyepfST+rIav5zDfp+kf05YQ94qdWo8bbof9f0UfYPXcqFFxSg83c crE7nT8h+aJfgbhBDQrnPu6sq/mMaNMdn/3baiDACNkn+SQaXPUVmdLDtQht c1X/MR+H0Nhno/aUehwWN//YbhqPyTkOfvZcPQZOKS7m/R6PiFeC4WfWNUBi yOXC9x0JGHqtpPPWtAEOtgpbOFoT4PFd7bFUcQOEreO/ftqfhPIrtM0znxpx 0vxD/OhYCmK67ZXrtZpB/2fCFyn2A8/jLF9ZnWuGjwXvRWP1H/BdOibYfLsZ yRccxFKDfyB4oTPM83MzBO0Ped9VTIWTXlZ1FVcLCjybTy1xS8NMLns2NK0F e74JLRHnzcTf1KY991a2gn/B44ymRDYEXO7ZG4e1I9TWzELuaDYsj29S04hv x+Y6uXNC9tmovm11XzqvHSrRjRf+/c6GWiGzI6u3HRnRIT/SdubgtJRIgfKe DgwbD/3S/ZsDy7DUNyb5HTD9+qrs5rI89CdJD05eoyDsrKeezcY8qMYKctg4 U0ATvlZxcl8eLlyRNSy7T4GDm1rlobN5+Pzq3947gRT4GQ3X8HzPg7CO3Q+z BAp+s9Va3ur9wW6uic3CoxRsMRzp++Ofj8qmEZ5HNlSIuWseuPQhn+TV4rFV 9lSs+P7eny8tHykKd4yf36KCxWu805CWj9KFbQWnvKioykm72b6/AFILwRLr P1Dhuttjfrq7AK+LOP4daqTCwaLFIGy2AHaGqlPf2qiwfrL3A4QKkcTP85K3 iwqDvm51H+VCBPaNh3mNUrH5vY7fyheFmNa52fOYl4a/y1et2qlahO4Gx55o eRr+HLp2sdq0COKmn7TKlWhIv1KY6nSlCJ8+MlyaVGiIKrpj/jOkCI8lzsd/ 16LhjntbuNZwEe6lChhqnqbh2neF0UGuYuxQcV6ZYkmD1b/Aw4Fri+G4otpj qTUN+opqXfXqxRDd19p+7SoNm+ift114UwyxFfO7RO/RsGY9x90lCcWYztem FbnTIKBrXh5dUAx+oycGFg9pmPrM7zA6WgyWuDfj8GMahuqsc14sKcEVvsHp gKc00LiyhBTFS3BMJeHEnyAayi2up7hpluBAXfwfaggNeU9KFm88WwJ9q5jo stc0pGVuMst3LAH/mqcvw8JoiBSpn+ELL0Ffk+p+xgcabv9VQiizBEdTq6Zu xNIguPNHdwlvKcJd3pTaf6fh49PdT2bFS/Hmz6CraTwN1Xpbmy2OkM8fzplR kmi4/C3SPci8FEYXJu94pdAwzy8hnXetFPYXhiyFU2nYXrbq5paQUvw5HOg4 mE7skw0SNYspBWv1wmuFTBpOPubP8c0qRbLO5P0rP2kY6fexyawpxcK+Pxsf /6LBW5tr2VBPKZQVEx4+/02DeLRb8vrZUjh9X/zFK4uGJN4Zc4PlZfBs5w88 l02D1mUnDg+pMnD/FVCVzqGho4j+OUmxDGt5TmTXE3beekW/S7cMPCYHVjrk Ev8/6mGsPleGxZdXqo8Tjuw5/0bTqQx9d9TNLPNoUDrapuriWwbrYgXzVMJV n072xoSVQUTiovEUYZvFdU9bE8qg9J+x4aY/NLCtDeQFC8rQyRlsqUj4RX5p C5rLMLap1F+BsOzmox43hsvgPP61S5JwzsPcrVGc5aDkTbgwyPtOdCr/rVtd DiGG75lEwsNq6U5LZMsRM3Es3JywV+TedftVypGnpW00ROwV44rPtTUqR9fp wCe2hBPOy15+a1OOgosGVtXkvpq5nwQrXMthva2yX4pw+4aNP+YDyqEVc/XA eeIvpwdhp3dHlWNvZfhVP+JPPsoaLqu0cohMTLwOI/7+gBdfX5SV4/R18bY3 JB77IwQNCjrKMc9uMPQi8fo77zcxySjHRYnFq81JPGd/P1A7JV6BPY25C/lp NDxfz+7z310B18JXNmeIHmTcbgf+1qgAj9r1Nx1EL6bK9q0brlXg9LZeRnQi 0fvbfk8jjwrciYs+P0b05jlrvc3rZQVsElPltsTREJ952rn3dwV2am++bRRD w1GxRnHRmgp8ifHQ1PtKQ6uL0R+dngpsPbVpzd7PNCxV0l4RJ/gXmanqVsVE 7xfSFGKcLP/CNZT5RSSUBpZI0vHPN/9CdPq9ndtLGoKcd0w1PvoLESfJTzXP afi9b7PGwYS/iPx0zUib5N+aFKF2Ts5KLFhxP7jmQcOZJ7MmXSKVuMrffJjv PtGPdXdZoVwlKjgvuQW70iC3OiPD/2QlSgMlXznepEHN+dzL1QmVeDs/JWpB 6oVCmNnn4F1VGO1kLz6kToO5bznV+0AVFtJ8Pf9Xj+45HV5/+0gVesSahmwO 0JCrtz3Y/HQV0tftXm3xHw16c/MeEo+qsCt8RW6OBA3nLT6f/dpeBRaD63vy FBVeOutev+6vwt9pkc9x41R8Vgiqe8ysQsyiwANRw1QMCbrqXuOrht2C/+K7 nVQ4Z+sr7VGoRntq9+Lxv1Q82TCx6tfTavgzw3wufaIilaZeXqlcg3E929Nd xlQ0aHmMPdWsgcbLqp9rDaiYjMsS0TOqwQx3ocIJHSoU7yqdL75UA26t4y4j qlSkr9w1mfO8Bh5726Uid1LR5HJ1nfu7GjTMyOrskKViuiNa9dDXGnSPrfQt 2ELF/m+b/TN+10D240kdyfVUZGiIbUjqq0HTQGKntwAVLTFmR64zatDcG5f7 iJf0lxUv7XbO1+DFrZ8pbxZRcaBt+Y+YlbVocVdsmGBTkHlrsU6USi1Gond2 BIxQ0PJPzeG8di28OQ9i6yAFrMMPgiVNasFlzfW5rpeCg4Kz7W9ta2FidMv1 OpWCX59HbwYH12JfunJpRj0FrQI7XxtF1EJ9umeYp5YCtuOVrBUxtdDeLDBu X0XBIfTwPs2uBcuGcd+vjAKLT1I7dUtrcXxz1dShEgru8583Xlpfiy+2hv8t K6Igq/HfO++BWvSev5k9l0dB+yHRP+oTtShxnZqXzKVgPupEHydHHdba/6uz yKZAgi94WQ5fHX59yU3J/E2ByvXqPfdX12Gc309I/hc5r0HwpPKGOlSd1Dxb lknOU9ZzY8nWgTNQfalHBgXhkX6R6fvqcMV61Ns0nYJs3qIiZ9U6JGT3qGmn UUCxXzQsr1sHcRVK3JlUCjjqDwszTOsQ/ydRMegHBRsOuismnqvD6lVHdbpS KFD98OuMw5U6LLsTamRO+BwPy2OHMzn/avxPejIFD64pfhl8UAcTi1f0L4Tf 1zqVR/vXgXX1rJkn4RylpLFLIXUIAd9pd8KUCLqI9AfyfWrY+QjCHEt2KHfF 1mEhenE1jfCGq3bnI1Pr4Lpvo6AOOe9wzRefc7l1SLmYfK+esNX+7liJ8jr8 dbRy9yb2eoZvqm5tqIM+T9LtU+Q+kYvOTb6h1uGB3XyBCblvnt27deZDdfiZ frvEifgjuf/KFYvJOmhr7cuLIv76ePnAzwsc9UhZenwrk/gzuJeX35avHjm0 /9RtiL+9bRpP2a+qx/d2Y0sWiYdz96eYmxL1uDp/ID+BxMvG2ol1R6Ye80K3 MvxIPLWshN48VK7HjsI99h8LKFCikj3kaD0e6NLSeogeZM/FKQUcr4e/n8Jn vVIKBCx0m0Ot63F/CdPFq5KCuVbRbeH29YhMPUE9UUPByOm+O1F36kE5rjum T/RZae69Nu5JPTa07+CO/Uf822R8OTmkHpMlj+4LdVCQYLYpPf19PUb2H335 jkbBc9Nssz8p9Ui/G3l36wAFD+uefinOqgeffsnPLSRfnIzPTFUU12Mh4vwd nXEKThjOhDS11sM48cJB3lkKNKuKetp66pH8WSr6wwIF+w1CFDpH65E9xD5v RfJRVH9vw/CiBjg3xzqfEqSiVevaau4dDTBe5ygvu5mKiqKDF3kVG8B6kMzP TepB1lG+H8sON6DGaPDZot1URGh8MVlL5viY2OwjnspUWKlSX+xwa0DlorJD V82oMM6O79zzqAHTKeq+ARZUaKjc37v/WQOUnnx/2XKRii3K62rVPpHnb7fZ jTpR0adoKnyyogEibUuqVr+kojlVyupsYwMyLW4K+L2jonTfeKIVtQEby6LL pT9TEbs30PDaRANOBERK0tKosN9VEuS5vhE7/0tINSfz6YT0oeXfrzXiQKO6 veluGlRoakWP7zTiepd/zmVlGnzeablfftgISlfLpzgyX4qsMqFLvW6EjsS6 VTXnST/gvFL5Jr8R/eJe953JPHfnX2ig77omSJoUa29d2omckHBNG+kmmBfP mZ9d2wleo48L6v81IV1BuSx/aydeF8c7LBxtArfvYbWtmp3I/FFo4OzYBNd1 AvIKvp1gBzKXW5c0YeNtgU/GK7ugocsqOlzXhDvvNJT9t3ThyRKOB5IdTfi6 kLx5TLEL6934R1uYTThSvrXn6NkuqNhtqjLc0IyRxD0pwjFdcNc4HgSyB+Vk H94yoNsNrpnYFeu2tEAj49FrxbgerKtQY2BXCyR47NSW5fdA/kNzvbVSC56/ 0vfjbOnBRW2et3H6LVj2R/eexpJeFL+22qLm3IJ/MesCtp3rReAB0QO2RS0o VTCaFRXtg/g9nwtptv/gfOyITnJYPxQWzqUax7VCccsTl/vVQ9DTz/E8kt6K VyzzDLHBIVx4K2mgmNeKpLCSr+mLhhGk2N4r1tAKru3VSVOKw+h3OC1Km2vF 0DUnxVvhwwijmN67rt+G6RfFcouujIAzT0ft6VAb3O/8OiazQMfaFTGC7pNt uG7v85FXYBQ7LZb+u87RDq+QRg/ntaM4xSq6abKqHZnHJJ0P/TeKlD1HPq1T bkdLRzaHo9UobKLAG+PfjoHqWnmNP6Mo95L/WyjbgQHXf9eXu43hwPIyrmf7 OhBbazKv6DeGr6/PK55W7UAeb1DV8ZdjeBgX8J5u2oER55V6Rt/J95v6HNd6 dMC6+wnraSv5/vZ3a+waO7B5WQclRXEcIql79eRpHejqSO8qUBuHl2rpg/mh DlRl7Xn2R38cCTGzTtqcFOwZzBbyujAO/2yZ9jYR0ndU6letChiHWr9nwhI1 CsQKoqyOdIzDZeff0iuapA69kIpa2k+evynaXaVHgaEST2Da+Dgk5uNF35qR Psi8lVu5mIEZ4TbPXWTv1Lu+dPOwLAMJyoqmJ0Mp2OTXWZ95nYFeD0+H3+/I 591Xv/C4MCBRVOG3KYoC7i18LQc9GHhiaJ019J0CXe3cfvNnDFy2ebbV4w8F sfw7g2wTGJAMGpyJJnVJtXzCMqefgazz7tFJDArGAzS8Fo0yYLF3pfnPadJn Ck7S/ptkIKzhQHo5FxWP52SEtLiYWLv+sTNdhIowS9/sc6JMpI2sl55eR0Wn HL/8sAQTJ3IS6zk2UrGmRv6e1WYmXl5olhfeToXyvI8lzy4mhGNkGPIgdWvT qrtK6kwk3v0VeUiDiufGUc/4tZg4rn/c6Kg2Fby3hQ4W6jEROHo70YzMTeUx O/6bMGVCQLHIwfUSFeYiW/cpXWIilve05MOrxJ5PlrYGV5jQaRn563+DzDl8 yauOOTDh6yay891dKnaHf65YdJuJxfkXh7IDqfiUb15r5s3Ex5czb4uDyd79 mKso0ZcJjUtPdatfU6FkbHuA6c+EJ9+PGFoUFYKzVvF7njOxsVXr1OBXKp5e rcrY+ZKJnO+tS5nfqfAcizddGcrE/PFFtovTif1rPM1D3jHxblPoWsHfpK4u j/8r/54JZeb2YpE8KtYG59J/RjJx95XxVplyKv45zZh6fWFCzLa3YXc1FW1+ n74VRDOReeCuj1IDFe2a6jX0WCam2yK7dSikbv75L3k+nolX8Qovjbup0FNX 9epMZELBo1TjzAAVR10zDRKTmbi1eTzqGpOKt6ESPLxpTKya9DZ2niFzqUCP wLN0JlKKRLnd56mYzalR5c5kYtzusFUQLw0bZy9ejfrFxDPleqHXy2iIKxv1 qP7NxG5B29wPwjQw8y9x9mcxUdnBvh6zhobMh9Os/mwm7BODNiSL01B7VN+9 LoeJZQ83V/3cSIPGsicRX3OZ+GaS7p4vTcPPBNNrNnlM6Enr7arYTur+XD5r 2R8mBqc62utJH/AsuHYqgnDqpcA8HQUadNXWT0vlM/GgUeVz9kEaJF3LfwQQ 1tUc8ZM/TJ5PnP/WQVgk7d216KM0SBc3TYkUMEGV1jeU0CN7zx/JRHnC30LY 8i8Myd52TJG5n/DtJd/W8prRcEppQ5sUYTXn0+x7Z2jwn3D2nSDvW9bDRxkj faaTx3FlHOEm08w/NpdoeHiX8lafcFSB7Zd/V2m4fUxGtY7Ya79P1P+4Iw1c LRqSaoSVPhXbF9ymYb1iwclX5L6LVt8xOuBGw1h4qUAd8Uel11aFeE/iz8Il Z6aJv94wG0Q3+9LwVCnz0iLCF6195kLJHvU5Jslwmvh7d90+6rIXZK/V0lau I/GYVe/O9yR7GcfS8zqhJF6FycFfp97RsJlhHaHxk8RPSuPJ1SgadC4etWzO YOLMC4YDlex9VLO7cSdI/MccjRTLksleJ6YRyP+DiV80znWqGTQ48upeVSf6 8TFKnE8he66gpK+DNdGX+J4VheElZK937POy+s6E1liFiWMH2bvvWOoaf2Ri 5Xm3/b1dNJgcK0xt+sBEe5Wc+JkBGhbv736iFcGEU4J/55EJGrLMRqT6XjMR 4aDtKMrfCRG+yKztAUzYdUybBqzoxPyvfSpLSf7JG3xV4hbphLDpQd+aR0yU 7uThHN7QiYNCmXu2eTAxOZwfmKPQiUUSjMlBRyZyzzrd3KfcCdHAnlY5kv9P KqTMYg53guF2adFpUh82ffeUCNbrhLRgWrP7BSb0r6p+v2TVCb13ijOjRqQe DPwsFQzoRECkUWHYThLPVwZSdi86IcQQyOvYxoSiRufdglAyRxikJK/cQux5 x7fjXlQn1gxBxWAd8edx88D+9E4Eey+2FONhQiVt0ji/sxMGR+IS5VoZaH74 X5uLUhdWNUfu+OTGQOTugn31Kl1o+useePk2A1fbTgbs1uiC/pGMQ1I3GOBQ fIDeY10oM+HWdbdmQHrg7wcT6y4MzXimNeow4HT8qs2uwC5sGI/nVhBhQHD9 F3pXVxc+c+w4yB09DtUTD9s6+7tgOUcr9I0ch2OgZRltpAu2b/avEggbRwPn 2i+U6S4YFa7zEwgcR3iPr0WrQDeerM7qmXYax84Eu4pa+W5cMPsiFaE6Dn31 nbF5Xt0ILdJpWtk0hvv3+F7n+nVDylFgSUj1GBJ+9PjkBHRjZNFRRbGyMayS ibDKCu3G03OMdduyxsj+t0Is81s34vTfbrH+OIarDWO+iXXdUJ95vvTyjTE8 sf1h835zDyRvxR+1EBzDgOp3X37ZHpye+ClcyzMGzbWfYpx39aC/6QLHMc4x cBUFj+gd6MEr6YCvJ5ijcNns5Dxj0IOFu/ODP1rI/NCxx8fobg8+JNNLc76O 4rBpwqdFNT04wn4k8FJnFOFyX4scGnvw+mTUummNUbC53/e3tPbgQL/5jwsY RXpS4I7EXnIep166iTyZX1Y4/Dg714PgarE9ERKjEC/bUZAq04vr4yL3f/XT Maka23XZvRczWfveWR2n49fHwbe3vXpxOv6VIpcWHZ68csY+fr2I34nhRNAh WPUtN+pFL15Kx3w8vIsOacu48PYvvXgS4TK3cTkdJ9wST5pUkTmvVfMirXoE 4tSx5Rfqe/Fvz7dhj9IR0DT2FN1o6UXmoSOH/vszAnuB5H2BXb2Ic3Diz04Z gc/bFOHS6V4ocQseDAkdwY+MtHJs7IOT5bXNMhdG4Lp++uEx6T5EilV+zjoz AlWP/QfPbu+Do3bsRusTIyjXyoh23deHtHtWWf+0R9DVmOnzQ7sPv/rlv9/9 b4T0k9+q2x378OyK8vQ17hE47clPEfnTh/Z/q+IeJQ7DRn7D+2fFfXh4wiTO 8dswTirc8xf424d19bzCV78M4+ABeSuu5j6c03xx3+/dMLjUPi4fGenDipc+ +688HkagoZddgVg/nKv3l8baDOOBMcVUdUM/vgo40q5aDcPRVPnwzy39oPBs 3HnAYhgnzJlrEnf3oznSqmLadBji560Lwo72w+80pxTX0WHEXNfY4OTYj/dR q19uliHzq+N7fvrtftg+iPN8tXkYT53Yk7Zu/RCqWW6wauMwrt9JqbD07ce+ j6eGZcWGofhg813d8H7wV3dsKBYYRn7gooZNpf1IXnzl0QfGEDri8v2rNw4g cpdvXkXhEKqGFw3t2ToAQVWjGNX8IeTIHdELlhvA1LnYhPTcIbyPKRAwUxzA n2e5oWm/hmD1ufBpq94AlLMyzg0nDaHnXXFg7+0BLLI41rv+/RCGn5S/mKsY AL2m/mbJvSHM2tW93eY6CFtFJ02eA0PYfphn3ubnEG6knXT4L22QzKuxW5ty hnBgsaNca8og5FcdN9QmdjVe3HvCJ2kQyr2hH7eTPeCL6vza5u+DOPZUVne0 h9iB1U9cPg7CsVk/1EV4GKeXeD1MeDaIjBvBe57YDsN+Tdcr06uDUPm3/8yc /TAK9mY8WGI3iDyNNm97p2HkfPwZlH5pEKVrpJuPu5PnXZ/YbrgwiNbfae6r Xw5jxe/SfxynBsHB9688PGcYYus+c63SGoRm5MZLiWtGsPrByxEOaWJvqKB0 ofgIAs9Z6a7bPIgNAbNdLRtH0Ksg8Xb/pkGwXOqtFsmNoFTI8tg9iUF8N/Sz MFMdgZjTUPi2NYNYyTlmOnd5BOt/SoTKLCXnTbWtErYnui7in7zDM4ihodJa 6Zsj4D28Y0fF4kEUNn00PO42AgeroxYeXINwSTipH/WMnMd/VluMPYAOyxwN 7cwRuKwa+Cc6OoBy0+/cFtkjCGWaC8eNDCBd902eY/4I/pZsZBwdHsBzRSfV sL8jGEBvp8/AAI4sl1Gm00bQ9IhWpto9gD2LV89y941Akv4sYrZzABKznJlr h0ew4r2R60/aAKZ7/imqTY3gkvOb6zqUAcRmBe59yU9H1Zo7vp//DSA05d54 9Ao67vaN/37cMgCvGNvErNV0PA64q+/UPACLEPVdfZJ0GNkLfDBrHICQ/ZTs QXk6FtF+iJ+rHcD8ha5+AyU6LjaYSV+vGcCAefVXaxU6hLVW13hXDyD/SKx0 AKlbtywcdudVDuD2estN1DN05CeUUt3LB2B1fPeJ1vN0+P2seJVbNoBjDzkf N9rQYXHw9hgvYen+qLGK63TE9fh//VoyAGHxW1tKbpH33+sR4iQ8d+yoeb4r HQ7JBQqWxQOoS+nLyfSiY3ztv2K5ogHk9GYwf/jRsX3SVTWskNxfzF8mMYCO HWqOvkKEPR/sCPoSSofs9JqwZQUDsE+e/xP5jo551Q/Xg/MHYN5TOfUuko7e A4pbNxLeredoGfyNjsDHQjp6fwYg7q7+IjCRDuP9b34P5A2AJ2lV0eNUOtjU tI2BhMe7ulneP+l4wvvERYlw+5q0nR45dAhZLyruzx1AqY6v1b0COlb8bFn+ nvAPN/OQ26XEH7+Cjc8Qfp8gW+pYSUdf68OXEoSfdM7OXaujo2xfQWNPzgDu iFT8Z9tMR9jlw+I/CF/QDr9o3U7HSq9v1n6Ej91zeG3ZSYfrkHfSBcIH4lUr TvXRMXB0LY8GYWmaEOeJYTrOXnK5IEtYaHWnvOE4Of/w42IRwmzNlMt6U3Rk tE4qLCXc5+odpsmm47qOQjwn4YET2y9/4CB9L+LxfxyEz42u5JLkHkXjOEfW IsINfuy3YYtHMWJ2w2Q5YV2p7n1ivKNo677PlCSc86ui8hXfKPozXr1TIKxw ItV29bJR0BeYx4wJf6OHc79YPopdc294nAlv8nv0boXwKFjrzQvDCYduuq4Y sGoUcktK/SoIC/46Wc2/ZhRRH42PcxF/eZkevuInOorb2lvXHiI8M7JtMY/4 KESzD3e4Ebb3FY7wIn1Yz+ZKVD7hro2z+7k2kveb7LcSIvGqMim/OrdlFDJp PAW/CB8dSVlyV2YUD9bvvLCOxP/Xo3fvp2VH4c2lOupO+EumfR1j1yg271co OUX0Im5iZn9jzyj2nI5cVk34+TB46WQO6FrKt0ef6O3+BiHlAaVReJz6ttSM 6JGZMVN/SZnMHTubk7sI2xnTHLpVRrHues/2O0TPpj7JURT1UfxoPH8jgehd bsiUv1F/FOonTmZcJPmSbqKX/fj4KHZHNtn8R/JL/bfaTRXjUXjGjiRxk7p/ KmDXv08nR3Hg/dbFv/4OwG/30linC6Po0P77ypXk76rXCxYyNqMwYJQddiX5 /Z5zUrj18ihWfXyg+qCOvL+G5qpuP4r8NT7CEQ0D6HH6pSPsMor2LbrN0qSe OLYlzRfcHYVQ5DTLrJXk55HoJJf7o6jzPb02sI28f02IGPXhKL4VB65eTuqR eobDQHzAKHpsdmWYkHr2fm7TY/2PozATNZwdIPVRzkZUhfPLKDa2+WTcGh9A 2t/l4ynRo+A8xPNmMXMAfyPY5uLx5P4m573lp8h5hxu2DWaMwsTAwrRijtzX x6/Et3IUfLncPa38pJ4vH+XNZ40ihi/OcF52EDW/Hz/SnhuFygoLywG5QTy/ umVJ5cIoHFzChJp3DkK49BR3y6IxyIq925a1h7B3wRydzJUR2qZBnw4MYsXs m/F1UmNQydZ92KozCIHeI603dcdw5eP+Wh/S3xZlv42XChtDWT8zoi9xEFfk fzYv1R2HzVS3tJ4q6edV9d/S9cdh+4oz6qzaEFZfG3W/dHwclFajSnuNIWR/ 2iJdYDqOKkbptSCtIaxcE+T44Nw4RlTW6tUcH8LPGWv+qVvjiOjIlrQ4PwT+ bMFDXe/H8eDimLHIwyGcO71txYsoMqeHK2WpeA/hx5R65+HP48iPOrvf9tEQ LHe7+EXEjmOH++/sfP8hJH/orD+VOo6UK/rdocFDOO2Vbl9dRp7viaeUfx5C rLbV+6zJcaypvMS94+8Q5OU2qmBmHN8mDmdHVA0hS5DyL3t2HH62StfX1JL5 pfbsmlwOBvy7P4mLNA2BedY84A8fA4Oqr4KNaWTpcTx+r1iCge+lC7y9U0Mo Mlkupr2RAVwppf1gDeG44t+0EikGLj1adcV/jswVbF1GqQwD1CSfaR3uYTzy 0bSr2MPAg8wgKcnlw6h6o3Ky5igDPw88zZEn85m529yEkTYDmY8VaHe3D4Nm +etFrS4DSfM898p2DoO5+UBl3XEGZk3bH3vtG4Zo/L6jjacYkIpiK5xXH4bV Hzn5VnsGWPZRiW3nhjExKLaiJ4SBFtNllz5HDSP4XW9R2GsGck2Ptb38Ooy9 BinuxmEM2N1/avbi+zBuJOnTcz4w8PlJTFN62jDZcx/8ffuNgUfL+zwSy4fR vbjniWEeA7XCRoJOM8PwSkvS4C1gQKU1cp/RwjCkbN3ZWUUMHHD9qqK6eATn y9delatgoNjS75ye0Ajanuvq8jQxwOMqlLZVdgT1kolLfw8zYHWusmbBgszT 1W65N0cZuPlN7HvvxRGsfKjjIstgwELsTgfl6ggMezr7Xk0zoHw+KpTn7ggq vokUO3IzwfHQzViGzPsFSvd8ZESZOHZbPyu/nsz/xprcwRpM3Aj+71qaBR2+ uune4ppMFAdNS2peouOM+jbeT9pM8HBEsnsc6ODay78s9RgTa6wjdph50HFM uFKk6ST5/sd/UjMfSV+rOiErfo0Jo6tJ4qDTIXbMxvDjSyY6x/bcLtYcxfCR xlq5UCaqM0pK+UmdyzmkdeLHGybCzpn6nDAidXKH7OnCCCZG7PbxcZ0dRbLA iHVfNBMlTxsWJTiSul52645cFhNeYdwxZyJG4a7lHZHSw4QVQ1cygOR9jcXl M7v7yfOnKz28uMew+Zau6LdBJrRLPog+WDqG0g9CL6JGmZA/uTTUZzXZR2ff +TxnMbFg6uvzd8cYvn5PvXZdcAKl7MgOBcsxVAn3HZRTmIB6+6ZH2fljpG7p NEV5T2BD3Jq1zsHjeJx3MN7UdwI+W87I3Hk7jvEvcj48/hN4LhRQdpvs13mO gvJXgibg5Vsh6JAwDmvemsA9byfwuLnPbH/5OL7uNdfMTZhASOpEMj83Azsf X0pt/zeBJyYNv82vMhDicPJpUPsE1trSj8U7MrBgom2tRp1ATpPEfvYdBqok twt/7pmAmo2I+l1vBm78GLl2bWwC7guS/rzhDKRQbm1hL5lEwEklvT1EZ+KF NuzvSyfBZ5ow3VXDgHesWa2lwCScReR++RPdnXBW8vgjNImK4fvpKZ0MTPHP tT4Wn4TFEq1W+xmiW0WvYNE9k5j84Vt0YhMTDVaiCu/kJ5GTPNfWIc3EzYC4 xg2Kk9h8U7Xy9HYmvnU3ickoT6JvxCBiuzwTEsE7PigcnYSNlqif9BEmMrPz 1DK1JuEl9IVXjejMbNCs65DuJMbEJzYY6DMRpOa59cjxSRgzc90OmTLBNdbw 3fgUsUf0Q4SNNRPh4lcNGs9MYi3fs7d8l5k4qMU5dspyEtauvdPhV5hwIqda WU9CcGUrQh2Z6NF/kHndfhL5E6mdxe5MeLqsPsO8PonXmap/Bz2ZkPwUM3f7 5iSUL+4dnfNm4iS7TtX9ziQ2WLZr0/2ZKIvZVvTUcxLtL744cL1i4nJD1mUh 70mEnpXY9fY1E4u4TPhePpqE5os5/k1hTKiY39cPezIJZo96yMx7Jlq8VtIl A8n33YI4dKKYuJ3wNSjq2SSeTQlz+X5iIoGntjYmZBI9Vl2a5UT3ensv39r5 ehJdV1/o1sQy0W8xJ5L0dhLaSw5eLPjOxKbUracy3hN7Y0vPOCYykUX9Nasc Rfy/7gd7ezITp5cZvcv5NAkZwwiFmhQmgq3vUYpiJrF7mQZHVxoTu4OEPHW/ k883lZoYZDBR8fOzVGU8uZ9rf/nnTCbseg8WGCUR+9VGdQd+MrFkZbVNQ8ok pNP8f4j+ZiJSxYb3VNokVI+VDMuTvITdbHRbxiSEKGuaD2Yz0foySPf8r0kc LNU6szOHiTu5W4a7siZRKvzsjEAuE6uGMwMu506i3Pdxdj3hxLXHdw/9mYQ9 Tf7K4zxSpzS6qx0KJ/GvafKI7B8mBhxcbzKKJ5F1OELhB2Gft8tX3y6bRJC0 zebt+UxIFX1MZVVMQq95eNKfcM640sn7VZO4v0QjpJHwGYnKGc7aSewooA0s K2BCUNTxx8/6SVyOf/l1N+Hclatv3GqaxIxtpswBwk6C6XK7/k3i1ichA1nC 0ktP9/W1TeJt7tQCB+Em7vmoSArJLwObDVnk/Y/n31ue6ZyEUuDEy/OElWfU 14n0TEKlr+3oILGXzuhpqOwj8bGYET1NOHLE77nf4CTCF/InE8h9TfrljqmP TELD0KpgiPhjSVfl0rnRScgmh9oLEk5vdyxIZRD/5Db8W038ade82uP65CQG 4vdOcRF/r69LV5adIfa9vx5bT+LjWTKf/G5+EvKv+55sJ/GTz//gYMY5BR09 7hdxJN69WRrbhRZNIaYju1Mknegt5XGk19IpRH2/LPGK6GU+boeFisAUBPpS e+KSiD6jq0SnBaeQcPZaamwCE6sjRJ5dWTWFAomQ3SbfSB94naG3Zc0UfK8L Zy8Q/boGn+HtEJ1CucKy9UFfmGj3i3Q3kpzCnnKPNZaRTHx12mmvJDuFi0H3 O1JCmDjlUL2NITeFkJes394vmFhm59T9bdcUxg5tlDwYxISjZeaZDfumcGnr f4bGfiTfdY7q8qhOQbfk4MR+V1L3NfqX5KpN4eu3WOsdzky8x5M81yNT2Dcq dWAJyf9F+2qURnSmkPfDY81FWyb+SlrI1JtOYXTLQknjCSYeiHF2BZycwqOb Rs/phkzsXf0xQuv0FCo8UusH9ZgI5RsQ+XVuClqme3qfqZG+M3FrcdSVKagE Ca96KcfEROlT2nWPKXyaj9nhMctAK3/9ZfbDKSjme24/McFAnp44/ZHPFIye n6tdSWcg6G/MbLg/8ZfHBUttGgOyNUWrKl5Oga9BRiWCzAkWzZya22KmsJDI 82dJAAMaYtoVKd+msMr94Ii9DwPbTwcZq8YT3l3JlXufgelWiXNmKVPg5l+q L+XAwHPKQRfvrClwrk7R7jzGQGHvrVhqzRQ8CvLGbMnc9k3m93/X6qcgYbU8 x42TgRe2i9KnG6fQ/vW9gdv0OM4NPs9f3jaFM6++K6v2jIM1Et92qHcKPC9v yjfnjGPXZP/yN7NT4JAYCLnjOI7QRRZORpun4XhQ71NQ8RjmL6zZVy09DZk3 935/+D0G6z9VEwbbpvHaOurux6Qx7PZUv62/cxoqnY+/upO5unhBxlVr/zRo 9qlCzx3GMMViuKvoTcPK/lCB0coxnBjz85d1mkZT3J7mJDIvrGz/EcmVP404 zXapENdhBAi4uaUVTuNNQ8q2RIth8B3UOHm1ZBr82mpfy9SGwRVas6zh7zR2 Bi57wMk/jHFD+p3o5mks6WHEerwl822BjMFx+jS+HPfefOb3IJ58fzv7TmwG ay/vWR/HOwDeVqsGo/UzcNfROtY53A8vPtlEng0zKHx8f8n22n7cvZRuc2PL DJwt1I4x3/XDbmN9tcbuGSxyCO5wk++H1kvBr4NHZhAetN6v92IfFrt5mCjd mIGXgNKG9LYepIwNzWTfnEFUZPRMXVEPrG1ORhx1noGsuILUiqQe5BvsGjC+ O4NX0qnVNJ8eeG1qc7f3noF00M/j3Ht6sKh4f2zU6xkEPMvkuhvQjRTlj8dl w2YQvGhO5ZNrN6wTl08mhM+gPfsse9ymG/lvelSzomaQ+c1bkoVuPLwW3ND0 fQafXf8rzmJ0gWvlKKdg3gxyZV7GnLbqQtKj01+C82fQ9S/9b9vxLjK/F+qt K5qBhYmt6yN0Ia/73SuZ8hkU78s5ZLS+C57pujvUG2aQd7NwobSlE5wWX07e GZjBtx0/r9w424mEGuH5+aEZnHWdO+p5rBPnNO9HedNnIG/fcOE3OpGz23Tk OXMGo8c5qUmbOvGAm9vr+/wM3G4LCYcP0MARbRFPE2Zh6Kghy8+ThsKhRvuI 1SxUBP4MOHqLhie7DXeeWcvCia8nzBQu07AmXf17/XoWfuldSYo/RsPOIpnY YhkW7GLNLPkkaGDyRdp5b2ehJkjf8bwwDZnH1smq7WThP+M11MElNBxpWBb9 cy8LZ9aV5LwZpeJM9/jnOBUWvnWwPlgWUrFp21WbK4dZWLniTebxX1T0Xe3e IqPBgtGNP81OSVTcZDZ+/KDNwjGV462mEVQ85v4dGWzCQqvdhdN37lJxXFPB ytCMhdKZQYkFRypE/OM3Cp5iYW/ph7XpdlRECke+f2TJgjL/w005p6jI2Pgo 3NWOhRnlMOPNh6i4f5HDQvEaC6beKq/3K1ChEe2ynunAQt18V7nbLiqqdl8N u3aLhS8VTxXfbKIixKn7tOwdFh7I5C65IU7uk26xrteVBQvnc8zbIsR+GL45 94CFEVGK5mp+KuIelpqvf8iC37YexdjFVDgVqYu2eLPwmCvm1HUOKhaOKYQa +7MgXvxP6dEkBSIW60KOhpD7mk7zUbooaP0QbMr9mgU5l6XafRQKIruXrc55 y0LOxgfP1rdRsOMaR7DSBxbK5d4ICjZQMJ7gYjwZRc4LrPxUXENBOnNcOPkz C8VZIQLxlRRo3Ot+JveN2F8sMjdXQgFfjoVhfxwLY+vl2i4WUVDF3bTicyIL zJUvlabzKQjRNKyySmHht1FNRkoeBaf9SwMl08h5YkzutzkUbKhUN2jNYEF4 PPxXTBYFPcK/BV//YsHResWjzl8UfDuh8Nc0m4XwGqnFR35S4Pgm/qlwHgue JmaNfzMoSGO/eZSXz4K9xwlzn3QK2BY+Ho5FLEQOGHBYp1Gglnvj7qZSFjRf bbW/lErBI6mzt2rKyfvfBar/7/8By721HDwrWXjdLrChPYUC4b69tntqWKDV zn44TthMR/ICrY4FM5uXNr3JFIR94zv7vJGFNQ2MpZGEqYKTJ9RaiF6/r9n6 gLD0Derx8Vbi/9whMw/CV2rLdSI7WLBWNdj3iXDCvnQNIxoLvGUrzAYJT7yK UuHqZmH29ZyxMTnvACtgf1IvCysSqbmthB+ccd1jNcCCtHjAvkfE3oKsi3LC wyzU7m9XMyL34dtoKJ1HZyGe7/e9Q+S+xx8qb3AcZyHkjewtLeKPl91bxTZN sPDj3OHfjsRfLZorV9VMsdCVfrD7ZyYFkjHzyzxZLCSfc7knRfxtLTDAs2eO hVUc3kLRvykYqcqZfcY1i19lMlcEcinYu/fbxOHFs+CQ6dDqJ/G88/IVfYxn Fs5ysSdoJN7cp+w7DZfNgtX/WW4r0YfWL/M2zhWEu3bwOpZRECBxpDFReBbn wrwONFZQsLZzXZnQ2llkpez9M0L0dvYIT0Gu2Cy2XKnf+r6e6PXLeNaN9bPY f7x7wbaJArmrJUnVm2bxLrZ4w5F2Cg5POL95tmMWp9fpf+EfpMDHzCr48O5Z PH3FuePmCIlvhn7A2J5ZGKycOkofo+DE/c2ehvtnccjCRlVqhgI7nhpbIfVZ hE49u3WVl4p4298Xco/MYufg9nI7ASqYZV/P3tCaBfubaa7LCircg9wNq/Vn wffKybdoLRXBojuUnp2cxakoLf9VslT83u7LK2Q/i8ht5w0WGVChULem4vl1 Yk/cTLmbMRUJ9748W3VzFly0tNp5M1JfKgrF1t6ZxR55Hcrq81T4OizeIek5 i2MKxzKf3KTCKNnTcEcIsYdn0kbjNRW9B9zeaGfNQnp/tNuWbirOdQpYluXM gtGWwPe3n4oW/zAp/T+zEHvn33VjhIry1p/fjhfP4sTtv2tjpqhIus/KMquZ hZVxRkfNUhru5d3uvNgzi22OvyR+ytEwYcfztbdvFpM3PGfpu2mwX/nqqu0g uU98LUVsHw3nrVMnro7O4lGXZaDhIRqOLpngcWLNQuj93N4D+jQI6TjKeQqy Yf7lvFqGHQ3vc5fzHxBiQ8/Wn3nLnobdSt/7x1ayIbn/deJGRxqOyfR9Pi/K hukVzmVHXGh4vMRi4+HNbJhYLmpJ8qFB9P7swrQ0G12nhu06/Gj4OhHanrCN jedcdbHTT2go6qp9u2EXGxcaS2VHn9Ow6I+2CMcBNvZ8Z/cPvqPhxYFeZpoy m/Rnv9/O72nYlORV6wA2Yk8Nqg5F0qD6ITuoQ4PYE5jnGPKFhsq1Zx1eabJR /y8hqTSaBosglr6BDhsaby4V9MXS4Oa+jz/bgA3RCesQajwNAlM1/c5GbLzL ZY/9TKQhzP568U5TNhrNOE67J9OwvWfZlx4zNs4dqIra/oP0t7Ox3uGn2Pj2 n877nFQatOu1rE+cZWPermSLSjoNTXo9aoLn2DC8J83/MYOGyYMbOe5fZKN1 4NhJmf/9viQ5q33fZTYO/nfo1tHfNKzafub3sB0bgtePndHLouFj5MzbT9fY oHaVDipl07BX7JXr2etsLN3gzL08h4a8Z/Lmq2+y4WQQ4FVG2GhpjWLFLTYs 7MsM//f7EuoDBxHvO2zsPmVhwCJ8fVpgQvkuGzp/6VZX82hYcIipZbqxkakR cbOAcECvZtK3B2xE/OK0W/yHhvWW3UHWD9lwubRhtxzhbw2eDuI+bMgfvJ2o RPjgsQ3H6nzZ6LjCaNlBuLTgt9wTfza2lI694SV86tBpfo0ANg4vPUQtIe/v T5nunw1iY/Mgf8QNwnfkQoqTX7AxY7RQuEDs4/2498uVEDa4sEHfifCrddXe Uq+J/7+2SVeS+0m/sLf+95YNA30+3RWEf/AJqL8IZ+Pk6ZZEReIfDc/ojbof 2NDko5ocIf6rnTnKwf2RjeC1gruUiH+tbnS1Z35m49PuWOWVxP9jfR6/HaOJ v/eb363NpOHBOckw2W9sDHktG3Ah8VrR9MuVFscG5gT9lpB4RhicMn+TyEb7 eoa5S+r/5p8pRaMUoofBN5Y1KTRkqbwU4Utjw7lsV7gQ0Uvrjqpal19s/MgU b1Mj+ooYFHLjzmaj/77Xx5PfiT3RxtJPc9nwdBZYdpLosX9z4533hUTfkmWd K4l+v9HWbpItYWPAzeFi1UcSv/enypLL2Ni+gi/emeh9cl37+qIqNqqPF5Y+ IPmR2SxZdLyWjTsXLqZ1vSH6fnX+eks9G0rx9Pd7Qkk+rezOG25ho+6JQPQT kl9CfEOXVnWzcax30P4gyc+6oh1C4b1svBh0khgj82Cot0Pm1gE2qu6pnXnm ToMEJ0PgIJ2N0PW9zc/u0CA3PZN4foYNo/Vtl17akvrRw8OOWzYH0/H9Jr81 aVj6UfvT/hVzuDVb7btVnYby8/7H8oTn8MlGZMJNhQbjNsEP9WvmcFn0HIMu T8O5utVH2RvnsK9UQnRoAw1386SCtBXmMKcwsOjCBBUqDy4q1e6fg0y0i8t7 OhVcKl9oZw7OwbclwLCc1EvfDNl911XnwPud7w+9jcxnCf+1hOjMQWWDeqNt AanX4djcZTGHo5f70/SeUcFwZfCcPz+HmfG4/I+PSX03+zLYdmEOIdEpSiMP qfi5fHly4+U5TApFj5k6U1H4oP1wmeMcwkIrYu+R+fGflZtlks8cRmpY7zU3 ULFk6883D+LmMBb0h/dvJOl/8QpC6+fnoKAR2VyzqgOpp6YFqzjmUaSQVf6F owOCSzIFHnLPwzxOWOHKUDtyzhzi7eedR+0Hme7ff9qxiU9jIWXlPGhdwREv b7Sjx9pwWG/bPJpOdntLlrbBXuxqyT2TeUjtm+34Zd+KwoIdRbvM5uFU3fHV +WQrJG/Q82nm89jPEzIuodaKqiLHHC3LeXhVOXocWN2KPbdc0lbZzWObiPHl 15n/MFXp8+mb+zwyHnrd+Mv5Dw+8P3i0xsyDq2YuwvZBM5bd5tE5/30ei9VV w/fZNuPN5WvCPfHzqMn6pjVo2IxkXaUoegrhGvopYalm9AhV53NlzyM8KUbq aH4TdMM5eLfVziPx0r9+BmcTRNIsA27NzuPMDllH90sNiPpacII1N49VCv5S 2XoN2P1mu6Q7xwKeOu/zafmvAdpuU/G+ixdwdHvE7IfZetxTD6x+u3wBYTJr /rN6Wg9aZdaqPKkFXKP21yyPrsP3vvVvBfUW0LFccvXFnzXwfed9rv3YAtb0 Vr8tD6mBtdHwljjDBTxuuiTVeaMG4r9+JeibLeDbz7enV2+twePA04VPrBYQ 07mGYfS0GpcVXo/xuSwg/j3/HW7NKmgMcqS13F2AZwzHgLJ4FSTfX74Xc38B xZrXrjOolWhYup9Hx2sBkwtfr7b8V4kjbQ3ifoELKG09UO+SX4FNXqu0eD4v 4P2Zw3NzMaWY339vWePXBWj2RxpWqZaiebiz5nPsAhY3jTU01JUgyCz57NHE BYxvSt4lNVWMBVmjm96/FiBjp7k4bmMRWjoy9ptmLyAxVKBM8nMhUoM3zm/O W8DC1Piuwq2FsJ8f9c0vWkCbgktq78YCtFYHhnPXLuCuVtAzx4E8pPtMXait X8AqnvPDgYZ5CD5ouS2qaQG+tE+BF5NzoftpZ4pa+wLe9EZtqLHOgfSpEBdh 6gK0bqWcKrmYDa7l8yq0zgUoKPlXSI39RuadihKP/gUM3XaLtivNRMiOfYGG QwsQmY088H5FBm7Qwkw20hdQz+U/nLovDXqvFomNjS0gocjJe373D8joXe3I YRJ7PdY2bpxIwiLOuo9BUwvIOy5yMOFKAig/DtqdYy2Ae3cfZ311DH7ZRe3a PbcAK5EYobKpSLyS5J9YWFjA//++//8AH4A9Vg== "]]}, "Charting`Private`Tag$5524#1"]}}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> Rational[1, 3], Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"\!\(\*SubscriptBox[\(E\), \(c\)]\)", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {0., 0.8138650363163404}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{3.7715652897268887`*^9}, CellLabel->"Out[16]=",ExpressionUUID->"0c3cce7b-7ad4-44d0-a745-e9b441020b79"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Small-\[Rho] limit (work in progress)", "Subsubsection", CellChangeTimes->{{3.77120862490454*^9, 3.771208627505728*^9}, { 3.771208728290947*^9, 3.7712087314258947`*^9}, 3.771565056734338*^9, { 3.771565667804324*^9, 3.771565668420043*^9}, 3.777347233987556*^9},ExpressionUUID->"d51784c9-b964-4791-8d84-\ 9071b2152cad"], Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["g", "n_"], "[", RowBox[{"\[Rho]_", ",", "u_"}], "]"}], ":=", RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "n"], RowBox[{ SubscriptBox["c", "k"], FractionBox[ SuperscriptBox["\[Rho]", "k"], RowBox[{"k", "!"}]]}]}]}]], "Input", CellChangeTimes->{{3.7715655481501303`*^9, 3.7715656078224087`*^9}, { 3.771565670933722*^9, 3.771565671580308*^9}, {3.77156587648551*^9, 3.771565960404063*^9}, {3.7715662180853453`*^9, 3.771566223996149*^9}, { 3.771566523437914*^9, 3.7715665289080887`*^9}}, CellLabel-> "In[100]:=",ExpressionUUID->"e6f818a8-12e2-4335-b3f6-eb9371d173ee"], Cell[BoxData[ FrameBox[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox["g", "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox["g", "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox["g", "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "g"}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "\[Equal]", "0"}]]], "Input", CellChangeTimes->{{3.771210779380275*^9, 3.771210848283779*^9}, 3.7715656178322363`*^9},ExpressionUUID->"15a8f8ae-f983-4f82-9999-\ 23df6f4cac5a"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox["g", "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox["g", "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox["g", "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "g"}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "/.", RowBox[{"u", "\[Rule]", RowBox[{"2", " ", SqrtBox[ RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["r", "2"]}]]}]}]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.771566028148428*^9, 3.7715660335815477`*^9}, { 3.77156615156677*^9, 3.771566178974769*^9}, 3.7715663060139637`*^9}, CellLabel->"In[85]:=",ExpressionUUID->"a1ae75af-5d12-4c6a-b65d-9dd855958594"], Cell[BoxData[ RowBox[{ RowBox[{ SuperscriptBox["g", "6"], " ", SuperscriptBox["r", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["g", "3"], " ", SqrtBox[ RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["r", "2"]}]], " ", SuperscriptBox["\[Rho]", "2"]}], "-", SuperscriptBox["\[Rho]", "4"], "+", SuperscriptBox["\[Rho]", "6"], "+", RowBox[{"4", " ", "g", " ", SqrtBox[ RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["r", "2"]}]], " ", SuperscriptBox["\[Rho]", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}], "+", RowBox[{ SuperscriptBox["g", "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"4", " ", SuperscriptBox["r", "2"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], "+", RowBox[{ SuperscriptBox["g", "2"], " ", SuperscriptBox["\[Rho]", "2"], " ", RowBox[{"(", RowBox[{"2", "-", SuperscriptBox["\[Rho]", "2"], "+", RowBox[{"4", " ", SuperscriptBox["r", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}]}]], "Output", CellChangeTimes->{{3.771566029016654*^9, 3.77156603399969*^9}, { 3.771566157948864*^9, 3.771566179834072*^9}, 3.771566306815488*^9}, CellLabel->"Out[85]=",ExpressionUUID->"cb3e8067-3af2-4965-b17a-8e03e03cbdf8"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "0"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "\[IndentingNewLine]", "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713435393046713`*^9}, {3.771565694510812*^9, 3.771565697052635*^9}, {3.77156572723827*^9, 3.771565748503291*^9}, { 3.771565914133923*^9, 3.771565967062154*^9}, {3.771566533645604*^9, 3.771566538164802*^9}}, CellLabel-> "In[102]:=",ExpressionUUID->"13750e84-2f47-4ac5-9b9a-9f92308866bd"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ SubscriptBox["c", "0"], "\[Rule]", "0"}], "}"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["c", "0"], "\[Rule]", RowBox[{"-", FractionBox["2", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]]}]}], "}"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["c", "0"], "\[Rule]", FractionBox["2", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343540761883*^9}, 3.771346297901451*^9, 3.771565631814704*^9, 3.771565697603593*^9, {3.771565727953568*^9, 3.771565749157428*^9}, {3.771565884526013*^9, 3.77156596789881*^9}, { 3.771566534153871*^9, 3.771566540086186*^9}}, CellLabel-> "Out[102]=",ExpressionUUID->"799d10fa-dcd9-43cf-8cf5-8fa4dd55dce5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "1"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{ SubscriptBox["c", "0"], "\[Rule]", FractionBox["2", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]]}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713435393046713`*^9}, {3.771565694510812*^9, 3.771565697052635*^9}, {3.77156572723827*^9, 3.771565748503291*^9}, { 3.771565914133923*^9, 3.771565967062154*^9}}, CellLabel->"In[70]:=",ExpressionUUID->"284a7afb-7d52-4ed1-8061-78cb1fa54834"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343540761883*^9}, 3.771346297901451*^9, 3.771565631814704*^9, 3.771565697603593*^9, {3.771565727953568*^9, 3.771565749157428*^9}, {3.771565884526013*^9, 3.77156596789881*^9}}, CellLabel->"Out[70]=",ExpressionUUID->"697817c2-1cb5-4da3-8a5b-a4b3ff332e95"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "2"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", FractionBox["2", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}], "//", "FullSimplify"}]}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713435589208593`*^9}, {3.7713435895523767`*^9, 3.771343589904711*^9}, {3.7715657128149853`*^9, 3.771565723446246*^9}}, CellLabel->"In[71]:=",ExpressionUUID->"9e16a9e3-dc3a-4ae7-a93a-623f6a58f8a6"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ RowBox[{ RowBox[{"-", "4"}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{"2", "+", RowBox[{"u", " ", RowBox[{"(", RowBox[{"u", "+", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], ")"}]}]}], ")"}]}]}], RowBox[{"2", " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343559428401*^9}, 3.771343590306632*^9, 3.771565633911433*^9, {3.7715657177802258`*^9, 3.771565753144897*^9}, 3.771565973505001*^9}, CellLabel->"Out[71]=",ExpressionUUID->"fd28437b-4989-4a67-8ff6-4d1c05abf9ec"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "3"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", FractionBox["2", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ RowBox[{ RowBox[{"-", "4"}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{"2", "+", RowBox[{"u", " ", RowBox[{"(", RowBox[{"u", "+", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], ")"}]}]}], ")"}]}]}], RowBox[{"2", " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713436001888533`*^9}, {3.771565818607265*^9, 3.771565824325378*^9}}, CellLabel->"In[47]:=",ExpressionUUID->"73d5a561-4504-4f8b-a6b2-382333b749c1"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", "0"}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.771343210467792*^9, 3.771343239618573*^9}, { 3.771343416164261*^9, 3.771343601287202*^9}, {3.7715658251160507`*^9, 3.7715658257058773`*^9}}, CellLabel->"Out[47]=",ExpressionUUID->"05a85ce7-3b3b-478a-b1fd-e3682f0baeab"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "4"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", FractionBox["2", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ RowBox[{ RowBox[{"-", "4"}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{"2", "+", RowBox[{"u", " ", RowBox[{"(", RowBox[{"u", "+", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], ")"}]}]}], ")"}]}]}], RowBox[{"2", " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", "0"}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343203653255*^9, 3.771343239114738*^9}, { 3.771343385015891*^9, 3.7713436001888533`*^9}, {3.771343640634666*^9, 3.771343656237653*^9}, 3.771343695810667*^9, {3.771565838375208*^9, 3.7715658446694736`*^9}}, CellLabel->"In[49]:=",ExpressionUUID->"83f30656-9612-4c1e-b5c3-c9f9136988a4"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"3", " ", RowBox[{"(", RowBox[{"4", "+", RowBox[{"8", " ", SuperscriptBox["u", "2"]}], "+", RowBox[{"34", " ", SuperscriptBox["u", "4"]}], "+", RowBox[{"20", " ", SuperscriptBox["u", "6"]}], "+", RowBox[{"3", " ", SuperscriptBox["u", "8"]}], "+", RowBox[{"12", " ", SuperscriptBox["u", "3"], " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], "+", RowBox[{"14", " ", SuperscriptBox["u", "5"], " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], "+", RowBox[{"3", " ", SuperscriptBox["u", "7"], " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]}], ")"}]}], RowBox[{"2", " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]]}]}], "}"}], "}"}]], "Output", CellChangeTimes->{ 3.771343649106743*^9, 3.771343696279591*^9, {3.771565845242795*^9, 3.771565847073634*^9}}, CellLabel->"Out[49]=",ExpressionUUID->"6323ca38-b931-4350-bba5-73b078619630"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "5"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", FractionBox["2", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ RowBox[{ RowBox[{"-", "4"}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{"2", "+", RowBox[{"u", " ", RowBox[{"(", RowBox[{"u", "+", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], ")"}]}]}], ")"}]}]}], RowBox[{"2", " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"3", " ", RowBox[{"(", RowBox[{"4", "+", RowBox[{"8", " ", SuperscriptBox["u", "2"]}], "+", RowBox[{"34", " ", SuperscriptBox["u", "4"]}], "+", RowBox[{"20", " ", SuperscriptBox["u", "6"]}], "+", RowBox[{"3", " ", SuperscriptBox["u", "8"]}], "+", RowBox[{"12", " ", SuperscriptBox["u", "3"], " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], "+", RowBox[{"14", " ", SuperscriptBox["u", "5"], " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}], "+", RowBox[{"3", " ", SuperscriptBox["u", "7"], " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]}], ")"}]}], RowBox[{"2", " ", SqrtBox[ RowBox[{"4", "+", SuperscriptBox["u", "2"]}]]}]]}]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343700867867*^9, 3.7713437077336617`*^9}, { 3.771565854687521*^9, 3.771565870327199*^9}}, CellLabel->"In[50]:=",ExpressionUUID->"d88e7b3b-c224-4809-84c6-df4b10158f80"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", "0"}], "}"}], "}"}]], "Output", CellChangeTimes->{3.7715658713394947`*^9}, CellLabel->"Out[50]=",ExpressionUUID->"084c2821-a874-4e5a-b494-29027d5fa693"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "6"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.7713437170640574`*^9, 3.7713437194813757`*^9}}, CellLabel->"In[42]:=",ExpressionUUID->"802062f2-8860-4d4f-8b05-7212b3cd0cc8"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.771343720254058*^9}, CellLabel->"Out[42]=",ExpressionUUID->"35f7bc39-6102-47fa-9018-5c53120fd411"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "7"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343759708733*^9, 3.771343762479124*^9}}, CellLabel->"In[43]:=",ExpressionUUID->"deae5109-cbc1-4174-848a-d1765ebc13df"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}], "}"}], "}"}]], "Output",\ CellChangeTimes->{3.7713437631751547`*^9}, CellLabel->"Out[43]=",ExpressionUUID->"cc33bf8c-ba0c-4ab7-bee8-88554857502f"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}]], "Input",ExpressionUUID->\ "127e6c10-46ff-4618-a51a-6701b26315b7"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"n", "=", "8"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox[ RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}], "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{ SubscriptBox["g", "n"], "[", RowBox[{"\[Rho]", ",", "u"}], "]"}]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "//", "Expand"}], ",", "u"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"n", "+", "1"}], "\[RightDoubleBracket]"}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}]}], "}"}]}], "//", "FullSimplify"}], ",", SubscriptBox["c", "n"]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input",\ CellChangeTimes->{{3.771343759708733*^9, 3.7713437859342012`*^9}}, CellLabel->"In[46]:=",ExpressionUUID->"e76a113c-3c55-467b-96b4-dbfd6b19b1df"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ SubscriptBox["c", "8"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"2205", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "-", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"272", " ", SuperscriptBox["\[Rho]", "8"], " ", RowBox[{"(", RowBox[{"419", "-", RowBox[{"798", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"456", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}]}], ")"}]}], RowBox[{"256", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.771343780884714*^9, 3.771343788570665*^9}}, CellLabel->"Out[46]=",ExpressionUUID->"f473cdd7-9453-4bca-af61-1d33a1f84b70"] }, Open ]], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}], ",", RowBox[{"-", FractionBox[ RowBox[{"2205", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "-", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"272", " ", SuperscriptBox["\[Rho]", "8"], " ", RowBox[{"(", RowBox[{"419", "-", RowBox[{"798", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"456", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}]}], ")"}]}], RowBox[{"256", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], "}"}]], "Input", CellChangeTimes->{{3.771343798150231*^9, 3.771343798451414*^9}}, CellLabel->"In[47]:=",ExpressionUUID->"3951dd02-4142-4bd2-9bb3-d8e93a3b6391"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ SubscriptBox["c", "n"], ",", RowBox[{"{", RowBox[{"n", ",", "0", ",", "8"}], "}"}]}], "]"}], "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["c", "0"], "\[Rule]", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}], ",", RowBox[{ SubscriptBox["c", "1"], "\[Rule]", "0"}], ",", RowBox[{ SubscriptBox["c", "2"], "\[Rule]", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "3"], "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}]}], ",", RowBox[{ SubscriptBox["c", "4"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"9", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "-", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], RowBox[{"16", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}], ",", RowBox[{ SubscriptBox["c", "5"], "\[Rule]", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "6"], "\[Rule]", FractionBox[ RowBox[{"225", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], RowBox[{"64", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}], ",", RowBox[{ SubscriptBox["c", "7"], "\[Rule]", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}]}], ",", RowBox[{ SubscriptBox["c", "8"], "\[Rule]", RowBox[{"-", FractionBox[ RowBox[{"2205", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "-", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"272", " ", SuperscriptBox["\[Rho]", "8"], " ", RowBox[{"(", RowBox[{"419", "-", RowBox[{"798", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"456", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}]}], ")"}]}], RowBox[{"256", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]]}]]}]}]}], "}"}]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.77134382687157*^9, 3.771343845353775*^9}, { 3.771344218206153*^9, 3.771344242486761*^9}}, CellLabel->"In[54]:=",ExpressionUUID->"c72a366a-2f39-401f-8da6-2fdca6bb1b52"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Coef", "=", RowBox[{ RowBox[{"{", RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]], ",", "0", ",", RowBox[{ RowBox[{"-", FractionBox["1", "4"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"5", "/", "2"}]]}], ",", RowBox[{ FractionBox["3", "2"], " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}], ",", RowBox[{ FractionBox["9", "16"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"7", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], ",", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", FractionBox["225", "64"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"9", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "8"]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{"1", "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}], ",", RowBox[{ FractionBox["2205", "256"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"11", "/", "2"}]], " ", RowBox[{"(", RowBox[{"5", "+", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"113968", " ", SuperscriptBox["\[Rho]", "8"]}], "+", RowBox[{"217056", " ", SuperscriptBox["\[Rho]", "10"]}], "-", RowBox[{"124032", " ", SuperscriptBox["\[Rho]", "12"]}]}], ")"}]}]}], "}"}], "//", "FullSimplify"}]}]], "Input", CellChangeTimes->{{3.771344610291851*^9, 3.771344648177322*^9}, { 3.771344696275141*^9, 3.7713447267318697`*^9}, {3.7713447814721947`*^9, 3.771344833391876*^9}, {3.771344913304099*^9, 3.771344922851901*^9}, 3.771345272535695*^9, {3.771347747754327*^9, 3.7713477483912497`*^9}, { 3.7715651407590523`*^9, 3.771565146564661*^9}, 3.7715652033739634`*^9}, CellLabel->"In[10]:=",ExpressionUUID->"00a05152-7cca-4e39-a644-d6cd860a1506"], Cell[BoxData[ RowBox[{"{", RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]], ",", "0", ",", RowBox[{ RowBox[{"-", FractionBox["1", "4"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"5", "/", "2"}]]}], ",", RowBox[{ RowBox[{"-", FractionBox["3", "2"]}], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}], ",", RowBox[{ FractionBox["9", "16"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"7", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], ",", RowBox[{"15", " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", FractionBox["225", "64"]}], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"9", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], ",", RowBox[{ RowBox[{"-", "945"}], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}], ",", RowBox[{ FractionBox["2205", "256"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"11", "/", "2"}]], " ", RowBox[{"(", RowBox[{"5", "+", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"113968", " ", SuperscriptBox["\[Rho]", "8"]}], "+", RowBox[{"217056", " ", SuperscriptBox["\[Rho]", "10"]}], "-", RowBox[{"124032", " ", SuperscriptBox["\[Rho]", "12"]}]}], ")"}]}]}], "}"}]], "Output", CellChangeTimes->{{3.7713446110856657`*^9, 3.771344648740554*^9}, { 3.771344696698926*^9, 3.771344712812035*^9}, {3.7713447883641577`*^9, 3.77134483400369*^9}, 3.771344940462893*^9, 3.771347749035977*^9, 3.7715651502464314`*^9, 3.77156520386483*^9}, CellLabel->"Out[10]=",ExpressionUUID->"b113fc37-77c5-4f9b-8b4a-18accb40a762"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "8"], RowBox[{ RowBox[{"Coef", "\[LeftDoubleBracket]", RowBox[{"k", "+", "1"}], "\[RightDoubleBracket]"}], FractionBox[ SuperscriptBox["u", "k"], RowBox[{"k", "!"}]]}]}]], "Input", CellChangeTimes->{{3.7713449416596622`*^9, 3.7713450066896048`*^9}, 3.7715651516703587`*^9}, CellLabel->"In[11]:=",ExpressionUUID->"ae13deed-cd58-450c-b33f-da2e0d4ae89b"], Cell[BoxData[ RowBox[{ SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}]], "-", RowBox[{ FractionBox["1", "8"], " ", SuperscriptBox["u", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"5", "/", "2"}]]}], "-", RowBox[{ FractionBox["1", "4"], " ", SuperscriptBox["u", "3"], " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "3"]}], "+", RowBox[{ FractionBox["1", "8"], " ", SuperscriptBox["u", "5"], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "4"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "7"}], "+", RowBox[{"11", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}]}], "+", RowBox[{ FractionBox["3", "128"], " ", SuperscriptBox["u", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"7", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"7", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], "-", RowBox[{ FractionBox["3", "16"], " ", SuperscriptBox["u", "7"], " ", SuperscriptBox["\[Rho]", "4"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}], "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"24", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"70", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"51", " ", SuperscriptBox["\[Rho]", "6"]}]}], ")"}]}], "+", FractionBox[ RowBox[{"7", " ", SuperscriptBox["u", "8"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"11", "/", "2"}]], " ", RowBox[{"(", RowBox[{"5", "+", RowBox[{"33", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"65", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"16875", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"113968", " ", SuperscriptBox["\[Rho]", "8"]}], "+", RowBox[{"217056", " ", SuperscriptBox["\[Rho]", "10"]}], "-", RowBox[{"124032", " ", SuperscriptBox["\[Rho]", "12"]}]}], ")"}]}], "32768"], "-", FractionBox[ RowBox[{"5", " ", SuperscriptBox["u", "6"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], RowBox[{"9", "/", "2"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"121", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"728", " ", SuperscriptBox["\[Rho]", "6"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}], "1024"]}]], "Output", CellChangeTimes->{ 3.771345007319716*^9, 3.771565152880014*^9, {3.771565198402199*^9, 3.771565205470788*^9}}, CellLabel->"Out[11]=",ExpressionUUID->"b9aec710-6974-4be4-a83f-9d9071b74f18"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"gmin", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "5", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", RowBox[{"1", "/", "3"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"PadeApproximant", "[", RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "8"], RowBox[{ RowBox[{"Coef", "\[LeftDoubleBracket]", RowBox[{"k", "+", "1"}], "\[RightDoubleBracket]"}], FractionBox[ SuperscriptBox["u", "k"], RowBox[{"k", "!"}]]}]}], ",", RowBox[{"{", RowBox[{"u", ",", "0", ",", RowBox[{"{", RowBox[{"2", ",", "2"}], "}"}]}], "}"}]}], "]"}], "/.", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "-", SubscriptBox["n", "1"]}]}]}], "/.", RowBox[{"u", "\[Rule]", FractionBox["U", RowBox[{"2", "t"}]]}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "5", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.771345134381372*^9, 3.771345238754568*^9}, { 3.7713452954373817`*^9, 3.7713453448055267`*^9}, {3.771345990157563*^9, 3.7713459971806*^9}, {3.7713460513204803`*^9, 3.771346055312216*^9}, { 3.771346104108643*^9, 3.7713461152400713`*^9}, {3.771346194546282*^9, 3.771346211866336*^9}, {3.77156522034243*^9, 3.771565246447689*^9}, { 3.771565410663207*^9, 3.771565484285173*^9}}, CellLabel->"In[26]:=",ExpressionUUID->"cb3e279d-7cc3-4f38-92d1-cbfaf9cae77c"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[{{4.081632653061224*^-8, 0.0002856604710383269}, { 0.0005827660898796174, 0.03413477296282887}, { 0.0012575006171516125`, 0.0501333335824916}, { 0.0018402258907046993`, 0.060637237579376016`}, { 0.002422951164257786, 0.06956749709834613}, {0.0030976856915297816`, 0.0786447813579917}, {0.003680410965082868, 0.08570909334516502}, { 0.004263136238635955, 0.09222952761539074}, {0.004842794537065078, 0.09828317268127487}}], LineBox[CompressedData[" 1:eJwdmXc81e8bxhGFRPZIIpEkVKIUl5UiaRhJUiSiUmmThtKiklESUZIS2SOV lZWs7M05nIGyOdap3/P9/eX19nw+z+d+1n1f13MUnM/sP87FwcGhsoCD47+/ 62P2sKVErqG7maPmdf83KC3fqf7r7nW4KI03ymnmI7enruq79U20uQe1fpQv wNm9LuYOz27hlSAtMP1LAVyNvcRin/sh4pr7cObGQnRq3DN+JH0HzlPvDFIo hQiNlipQOuSPPzVyjnGniyCjyVf7IfAuuk80nysaKkJgpOT05uF7WDHCGWZ+ 8zvoVaffLNB8gIYfvffMOIpxytEx7Z7TQ+wvnvuofrkYK6uH1eVjA5AgvcDw 2GgxrtxA3ZPiQLxyVtMbdyiB3K7J049tH+NdWYtaxVAJti9/+7bf7QlUnzp1 5u0pxfXSiKWF1kE42/3KLT6/FAev91o+mgwCu5Phd2hdGbS01R4dfPYU8m+D uqfDy9At2OAovDoY/fXa8wrTZeAyfzdtWBqM1Ij7CYuPlONwle318psh8Fil kHe8sRwx4nvuPpQORYzc8K0orR/wqXpebJsbCnbbfLTx8x+w9e/hUjwUBs1P awcPTf/Aer01hsNzYVBtOnVp+kAFBCbP3fgS+QyqiuuMVLIqwEjM/XZP7zkG V687NivyE0UuC+atup7DsXK5ua/nT+g58juxHMMhscTgyI+snzBQvLts8eYX eLfGKmyhRiWsAjuzcgpe4GdOm3Ds1UqomyhP3nGKwODr6ZIjtZXgm/fcuI/r Jd5n2DnyKFehLz373PLYl0D8zJco7yrkn+RI6TeOxFzk8Mf11VWIUDQbyuyL xIbppgs/5Ktxqf2pmp9/FIy6tWRPe1VjX0ibh6XyK0hGyTqt+l4NtV2KH2TK XqG1p2xiUqQGZ0OWpXYciUZyoYjQ/OEa6IdxfXLkjcG7DQa76ek1OPL5b2q+ dQwsWzL0drNrIL4mSN3u2Wt4BGZwHgirxS3e9NUPpN/ismnItyVpv7CVtb/T 9tRbuEZkFho2/sLjkhPPzFvf4pZhYrTsgjr4FO8251kRhyV9dENN+TqIWnnY PvQm3D2YxWdah0pDfgG7qjjYKg5Fz7nVwaVWWapT5R2cDnDuX/eoDnL5pVUJ Pu9gLRAsEfCpDpm7e1s1mt/B0Pmgr2x9Hc5su/2EvSYe4ituTw6O10HKx2lE +VY8mrdvFNWQqAdV+vtseE08+BTl3cq16pFcn3/xk+p72H13FOKzq4fruYq7 2gHvcXfbJksx33p8KJFaoUJ9j1D2p0drX9XjWEZOw6TWB6zxkuU6/60eAuPP Nq0I/IDtJhYmCl31CO/0Ns78+wlebp6hzhWNMJQ9+LbLJhnPN5gdPsVoxIC9 Dg9vUjJu+lUI7eBuQpxZc27jv2Ssqvzp6b+iCeJi0lvaNVKQ/2ejRad+E7wW 94saHUyBS/I+xe8Hm1CqalfcdCcFvY3OysyLTZAxL7twMiUFfV6bTShPm3DG XVuJoyMFfw9X2CQnNaH4flxj6KJUFAopde7/0QT2irGF6VtS8cL59RyD2YRT Zbe18xxTsU9p0XtZjmZkCwZ/vRmYCs/nG96+km2G2ELn54zMVBzlldxsrN2M AxeFxptpqRA5fii9zKoZeSYG00uXpKH6okFdxclm8AVaXq/XTUOD2LRS/L1m uN6WO6jrkgbzSMXm7JhmfHnziK/mSRoCLWUSJ3ObsdIrT5A3Ow3yN65Vnq9r hgvlpMc0PQ25AzEznMPNGFoqL+3Nk46tNpd4JDlbICBv/lNBPx2c+Cfuu7IF R/HZJ8s9HVpc+214trUg01FFbVdYOq5qCrz3sGmBqO30wrS8dGhyX5z0ON0C /mObpSmMdMiyuCzV/FvwoU9MVEcmA7epbWsE3rRgYUffnyjjDKy/45uQ8LkF dgdfJ4+MZmDFVR6O9mWtGG635n8jk4mtyZNmvhtacdeR97iVcSYamkb8uc1a kX7sjExWaCYOmZRqFV1shTl95UW3b5nY5vQibCagFT0nmmqk6JmoakhOkXjT isuDD1QrBLNguieFLZ3TCkFPPX8fnSwc5VuSsqC6FXEjI91qR7Nw5fAazYbe VgQWqKdzPs3Ce473R3vYraifPBD2JDULDkUePWuE2uBxZfGIQVsW1i6u+5m8 qg2cc3nmY1zZCGvgNlqu24ZwX6+42LXZqHBtjPPa0wZ1DmUOG+tsRC3rGEl2 acO54axrbO9szFRLvCm70oaU8OSQgvhsnH0cVjLypA1j9wyWuldno3Rf/EBb bBse8E94yLCy8fKEbXpuThvkH8WX/FyRgyCJ04W3q9pw7NpmowumOUgck4tf R2lDTULt08VncrDpwdvgb5NtcJn/l8cVmYNXVqotHgLtqFUNF4wozsHtwkHz Svl2iMqsCTAazMHqLYf+yWu1w5Yvd9Gg8GfMKfdIOe9oR2hamtwn/c9Iz5yw DzvcjubXxi9tj3/GWz/x5MSz7Shlp26ZevAZLsfuW6T6tYM7PmHv56zPuBnY RokOb8eGROGFsry5uGlFH0BBOxb/u+WwQy4fz7sKS8aEu/DxYWv2OpN8yIYk HtVY2QXh9ISFS8/mIzPwq8CgVhdS9bmcp8Ly8deAmsW3vQv6H5qPtX8j7cli tWM2Xfj84VlmtnoBFok4nON40YU/Vr+/7qouQNiW6DAH2W7YvH/+8/ySIui/ fF14QKAHSvuGmN8DinG5JvBW72QPXvItMN4fUwyGsOfMQnYPlibFBPBnF+Ng ZtWSPm4KZnmt1PdRixF00UL1pygFI9qJNyZYxXAwyt2waRkFLm1m5YmCJWjN jPFkraSgLdhx5VbFEnQ7qD6cWkNBbUH2+a7NJehI92jbvZ6CkqGlJbcsS7DB bNv4q80U5C4a597jWgL/gcLdbw0oSDH/7lZ+tQQtjyry1XdQsGroaMrNIFLX szSkKiwpiHh3kV8orgRKEoHq72woCGqoPpSWWwKt4mdVLQ4U+HOpJNnUluDm 15tOPC4UzMSVTC5hlGDNQzW3eycpOOPYtidyrgTWh2xTLLxI/IEbX0O4FOAI O+Z2lQL73MAxqnIpxLm/6V27ScEeJs347jbCBykaAfcoMJFA2Jr9paB+e60X +pgCXZNweqVbKRQSLj96Hkbin080OHStFP33lN9tjaRgZUD9Zb2wUuw6OVOq /5YC6erYtqz3pWipl0q6nkCB4Pz8Wvu8Ulx8v5XpkUoBt6qtL7uefM9N7Ny+ HBL/geTqmP5SLLtVarohn4Ihf155k3+lMG977r+klMSvv9y7TrQM/R1JXwIq KbA78O9z9NoyPPd9q8rfQEG1kJiYukEZviYP+Pq2UXC5egvCJ37gGTXN4dd7 KgTVM2k/eCvgdL3ozb1PVLx9pBk4J1uB92m3ErZkUPHLYnWr4/YKXJ54v+Rp PhVrf4qdV3pWAckjefeXNFHRXTb8Lk3nJ2IrW08YcPViR2GcYJV3Jfy1JzTj DvRCMkO4i5OzBtF7NKpFWL1wCJyz7pOowcFX97F5vhdvXGg/S9Vq8En5/quD nH1QE//8OcCuBvKzX/88WdwHo0tHw8RTasDf/63854o+aEceeBeqUYvOINUI vx19cHJ8d/h9Vy3Mc9MP/gvpQxbVuLJmWx2+pTYcyVOgoWnnrdFHO+rwXZNh 36lEw9SnPAmL/XXY9YCPOb2GBh2fLU7lRAdUXS3hVt5AQ46oxlRBMNEBL7Ra DxjR8NlERj6NWQeF7/LflznT8PXdyPnQ0HrUS3h80oymocgjatnB3w24d91L rVeIjvT+kycdpxrQyF++hC1Cx9sTul+OcTTiyIM3e8Uk6PB3bbb3FGtE48bm v7qydOx0Fo64va0Rb8JuS7mr0FFz0F/qU2AjnmnZS5gZ0NGx87T4gnVNuDXE GS3nSUdV2dbjvDpNMNsncoN+lo48U/7MJYZN8H33sPPjeTqiTeKtpWyaEDvH ktK4SoezASVknW8TJAOcYyTv0MHUsRGxq2qCp/HpN+de0DGprCeUdLoZSYs+ f7MsokOfalT28EozYgeP6LCL6bgbtfPGidvN8G6uaXtfRoeEmPWw4otmdIv4 vGFV0qHNebImorgZDasKLM4303GlPfzJ/WUtkIs+Wto7SMf8kwkhlx8tSDE2 rv0kwoDJrtkyw4YWtPwbEuEWZyBwIcfNFd0tUFI0CreVZGC57+KRtokWSMq9 OT2+jAF9j5W1++RbQbl3yFZAiYEbJnuDcLkV2nRkfNFmgGvm49JlSqQuzW9Z JG7HwLIqo3FotEEhUo9r7CADWq9bG122tCGgxfBj5SEGjpstevlpdxtmO4X5 fI4wUP7CWcnoUhs2OvBxfHVl4ImutK57WRu2R3jo1lxgQPba3WPZ7u04HrA8 We8JA5v2LjftON+O9d33tX8FMWC5KkOF83o73sg8v+IcTOKrpPwxD24nOmd+ 3fUwBqiyele6ctuxk8vBLeIlAx++jQfyCHTgoW30Ydd4BrT/Hc2y+tSBT+wW b8tvDFjsLvDbntOBVaHrzofkMXDs5Yo9OkUd2Lybw7Qpn4EgnS6GTFMHvlBE r9kUMdB/5pA0ld2B+gdXNXXLGIjssbl2dncnxOatfkfWMpCmnrnT+UAnFhuW xuf/IuO9JiZu7dSJQPOthj11DExK1SfpXOyE8LtpwWWNZDz79nb/jexE937V ZZdbGeAsMjd69LsTRx4lrfhBYUBqaYLgjalOeNr8/PWDyoC6I1/7WY4umGbW uJT3MmA/W3beWqwLeq811PNpDGRs2B63bFsXrlS83h/Sz4BrLHgTArqwMfkv V9MIA9dGXzW8DOuCVL17Y8YoAyH4G/MougtnqrgCno4xSMn8uuVcehfoXFtj TCYYkBbTPbm5vQs3NQUuPWUxUHlHq7pUtRuRLT6MEjYDukI/uZ5u6gav8o/x 4L8MvH/hpHPIoBsh6q7+h/8xcPvT45hhm270drA3D3IwodvC9JK61Y0GHp8+ 5gIm3jvfiKcGdKNWV1HuDTcTEn/EOxKfdUO0ndppx8PEKKfxdsPEbgSVzw/n LSTPr42S9Gjuxo/Rr0dP85HnszZaaFG7kVG+o0qEn4k7BhU3//7uRnOrb0Em 4ZSEuQtmnD0o0VXeOrGYiYB8la5OiR44/WjwsxJkwqjfL2WhUQ8WdJx0eSnC xFX16oqTO3pgE99hIC1K3j8vTau16EFnpP/bUMJyf5OlXx7ogXtcNOu2GBMz Ip1+Gqd7yHrsFtkuwYSmnUpUqFcPMk4+VEkm7Bp1Pnvmcg8sM6ZLJCSZaFjN //u7Xw+o5w886yKcsk3Hxi6cvM9/JnCvNBOMW35nvkX14ILFk/Z3hOXKqh6s jO1B2qb41FnCgftc8n4n9SCk/OlYhAwT358lt+xL70GDjcVhBuHZ9tmxrJwe GOyrtly/jIkTrk9X3/reA5rfcMk3wtEfOwzp5T0IVT+7i0OWiaaR1Q67qnuw aaPPAQPCJj55QeKtPag/MMD1mbBPAd9H764ePLi25s0o4TQem5Lu3h6cWPCh bPVyJlYEDc58GCLz6SwRF0g4z+nGh7TxHgz8PLg3h7DjRtGDX6Z78Pnao3oK YTZ3PG8x0T0j216p88kxEdmkm1PJRUGGzhUndcJb31e7NS6iQHJu4al9hNuu Okt2CVAwf3mTpRdhqeUPLw1LUGC4R+ZFEuHsoeXK00QX+V2J5SwnbFuQ2sih QOrw9DnDHsJTT7f78ylTcCHptN0U4bBjrVoiaykYbPQ15V/BhNam030ymhR8 EH2wWJZww0LOUMVNFPB5XIxfS/h8S6ixmi7RRfoqMlsIiySojGuBgjTbu8dM CKf6fH2jZ0IBrf387d2E9+7eu9/UjALTAw1XrQmPyPVx7iE6KjD9oelBwk9G LqcesKLAZ9vV/kOE1YsWOx21o+Dzq1vODoSrQ6KXuh8m8TDupNoTPn18Y8E5 ZwoM/I812RIW0Ck74+1GQcd2du1ewh95D624fYoCWbv1r3cSNm8bqg44R0GS eZepPuH+j37XQy9RsFaAWrie8H1fCfUoHwr6BqRFFAmv3pPQGUd0V3aos44I 4VJ5/Uef/Clolwhf/4/Ml+vYr23ZD0l8nWEcA4R5io//zn9CQWqG9ts6wm/D Zl6Wh1IwXmIt+5mwidujXb9eUICIHyeiCPduVphrfUVBvpTngxuE/fgzE6ix FPy8K3P9CGGFjp32g+8pyLz3zlSPcEFSB99EEgUhsv1UKcJ/93K78xBdxt02 EPaD7J+oleFSgt8oeNdsnfiK8LaJteUSRSRekZ9h5wj7PLdarUJ0WRtTlbKU 8HTnG5p5D9F9VbnWm8j+fZ6sHWZFI+30R3+nyXnQvlVh4jBAwWbKzNVcwhdX jcWenqDA83FTnzbhMQ9D5yBeKi6tFPcXJ+fr6bZG4RdLqMheppxVRs6jpqB7 4WsRKj4abcy+TNgzNUg+XZaKAgc3lV9STAyyursaNan4UyNR6E7Oe5bbkyJz bSoeJGrt4yJ8s1n/Xf5WKjKXb9odTvKFRHbU6Q+mVLTkf7z3VZzkp0uH5q85 UCHn18WmkfyzhM7fM+pExf1+/z53wi02ud9d3agQHQjRGiT5y3OTdMBeLypm xEKF6MJMREw0Sa+6T4XCuu/xX4WYOO5ylx3+iIqN88a1awlrNmyiLAmhYnf6 +SPhJB+Wpoe+Z0VRUcrnleK+hORfr/06P9Op6FfLEPlD8unO0Sprr24q/FQu 3L5E8rOok+9mRh8VuiWLBr6Q/N1VqybrMEBFoopi6l+S3y+kBPRunyT9Y/uR a1wk/5wx85Je3ItF+eYadqQ+TP0pflKg3YurrZ+2Pp1moPDwhfObtvXC19fv UiKpN4FVigcSDHvRP5bDXzLFwMokP7lQi15owUlviNSn3acMktycewHL/m/y pJ69HfhSIfi4Fxe9k3N5SP3zfL5H0SOkF6E2XhZzDAZ0THp9SsJ78TzecucQ nYGKKP5112J7cTbE4FplHwOjew8+6c/pRcpx81L3HqKHsqesint7caX6mfvq ZgZ4XR4mrujvRfCWIIdxUr/rlsrx+Az14uvWrpSvDUTveGzPWj/TC/Z3BZ8d pN4HLg+VihbsA+XgJ3+9KgZab6/vvLqlD3Hl1wcSiJ54o1myqVG/D+4RTgkW hQyc6rR7rGnSh7emBYWDRH9w6NwEw7IPq+KtJhSIXlEeqH5t7dKHjNXGtp7Z DFzYe8pV40kfileNX7j7kQHB5fHDfX19yOacWpb8lAED29udvf19GOnSnpAk +snryZGf1KE+7B86e+L6YwaaOKXie6b78Mtsw0qTAAZe0e87dgjQwLY8XJ52 h+iNFI+qei0a1NLCd8heJvNtrP6x6A4NP8TbZJfZM3D9Gv+Lwgc0GMQultUm ejAlk3634DENrRbbYyxtGRBTiXbOC6dhzviD1pX9DHQILJXJTaThfG/HpSRz Mt6m0fupDTQ8+OeQEK1L5ss90zVmFR1/Qze2RkoxMGCQdH+xKh2Z7HNt2hIM 7JCKS7ikQUeh9+baKlGiR8tChyx06ThT9yB0TJCBq6suXJrZQ0f4b15HSR6i f7o33N3vQ0d1sm9H5QgdhjYpcdx1dEy4XHbsKqHjldr7sjNER9toTF8Q+070 84KY/rYOOhzFQ2x2FNCRk/ZkXSqDjqAi3TOxuXSoLz2TeZhNx1aVijatZDpk f64ryVIh6xTEgS/P6Zgy+Nh34gYDjj65srtc6fj6dvDlZTKPUzHlayyP0eHH q2Z19wHhZh59y6N0CNYmFsaGkH310fjSdns6lI98etVFdOqkXe28kCUdtr6p dtZEV74VkhMV20Tm4XN2JRSYkNn15kIVBx3ey6dvWyozEXsz7ownm6zDrc1b D69lwmpgIwRmaajc+fmD9yYmjj2ctdYfp6GvOfduphkT37wb1lyj0SA29c1g rRcTWzIEaA4/aLiwoThD4jupO4sNz8aRdXTVko95Ws7EngE9+8CHNNhpXwsQ qGbCxuGO8Zm7NGzV1XLmamXCbeN6vjXXaeAyeis0NETy3nKq2KnTNDzZd8ej RKYfK/byflu3i4aEsybyF7z6wXeAq+LhAhq6PxUH/FIYQKl4b/2kax9q/3D/ 3rB6AEtHBS50OPWhQG27RajaALZW+nrkOfQhJqFE4IDOANi9V8wv7O+D87vS Rx0WA6ilKbnF6/WBHlX+hHF5AK+/clxfLdqHP4GVIeyqAfwbnOo7m9uLOY+G l2u8B9EuUDQtM0OFtfbhp+o3BtFaY++sME7yFif97sY7g5j4HvNh5R8qHMNZ 5/QeD2JPtdQ3cQoVhSUyO/e9GUTB1Ar3b+VU3JN3mrhSMYjCA/Emgs9JHm76 Y1Eu8xvFbXE5TzSoOPX6klHVit+wYvhfZqhQUXzqn07dqt84ffuj85aVpK4s EFbsUP+N98mWcT/FqGjV1JoZNvoNM70f6h9mKIgO8I6TPPkbKXk9VUakzq01 XPTX9ctvsK2L/YuIrkhJ+Li6peA3XiiJV6WZUqAltnefWelvGEXrGr/Up2Ab I/zt2l+/wR+VHW6tToHlI9VdI/TfkIybGHFbQoFX6+7wqyJ/sGjodCRfBdFp 50I3BLr/gcsLv3fz23qw442CW6rkEFrWbC93XdoFrXBB5VLZIQgK3f1hwe6E /OO5vjaFIewLLA1UHOjE7NVGZ261IQyGZRbGfu9E0r4HjgcMhnBqz2/LMeJ7 RDlHbdgnhqCyKFjvT3MHuo8UmJjlDqGzY/jYiZB2VNokLXDMH4Krtcx0D/F5 ObsiiryKhxDg4ahu69GOYJ0LBpHVpP88dxFdw3ZsF1LZNkwdwvYOl+8Lhtvw Me/JxrDFwyhfeCwqc1cbwjOujX1YOoy0fyIBd3TacCfBPTVPfBjaPp+1XBXb 4PjMWIO5YhjUj/n7PeZaIezJUt2qNQxztccuOYmtuLz8yEqKwzAO8B72GJZo hfNeTdsOp2FM+lwav8fTCsvbnA+bXYex4tF1Q2fio5X7Y0erzg7jTFHBr991 LWjIYBbk3hkGD9c2maaQFhQwPk9kPhiGp4zf4uk7LfgoE6CS+pi0i9++efNS C/xurguKDx9GpM7U2Vb7Fnim//3+JmoYSm3cNhm7W3CQXsOKejMM8ZrEO/yG LdC08DoSmjgMuVvUfr01LZC9YRzyJHUY4dfPxSnJtWBRmljZwyzy/BwzIUq0 BWN9tFn/L8NwnhcT+cjXgi7JbPVbBcPIVAmq38/Rggrz+87XSobhPXat4AWr GZm+B59drhhGdtIC7zvDzYhJUa3wqhmG0JmUE5LMZgT2zrFPNwzj+Z/qdFtK M65IVK13bx2G5jnaZtP2Zhwze3XcpWsYq+bO3e5vbIbltTMvjvQOo0dGsMT4 VzN0kw2q7JnDuKkqV32gqhnKVGFO2z/DONelsUilohnC4r1a+8bI+ixTPZlV 1oz5HRknLFjDSB045cdd2gymt3/kjvlhPFs+7yha0owB27UnXnOMYEq04kVv cTOOjohyrVgwAvHR9fsukvamB/MvI3lGoMGZoFJO3t+lSNskwzuC7MUpZu3l zSj4WlXznH8Em00Gjif9bIa2bZa7+JIRiGWdzd1W04zE4VcLQoRGMJ2gJnav vhkrH9yLWioyAgp9U+ODlmaErzyr81hsBE2tS+cMu5oh+NXu12JJ8r0tSUqJ fc24Y2N48oH0CPyZnNHFg82YGVrDs0h2BMmfFY7dG2+G532R6DtyI5Df9VZl ZK4ZfQpzm7kURvBOGu6z3C2ota48xVYi7X6cpj1SLTAdyljoozKCnatCx1IV W/D1XlTMtOoIri6O3CWs0YL4XM+GcY0RMA5cknTZ0YLr8sLbBraQeNrpF0p9 WzDxeabRbdsITE833vcKbIGHFfUMTX8Er39khfi9bIHN3fTYHuMR5Djtqs3N bYHab5vFzbtHEBQYYsTLbkGOtUX+w72EO4skK4RaYfzN6Ly+1QjCi+ofNq1s hf1jjfY4uxEM91Bjv5i14oEm38cLx0bAze93cHNEK+gXvpqLXB2BdelM/gej NsSwVz7c/ZbE2y5SLR7dDlGhEd7i2RGc5n031WjYhbpvD++Zscl67F2kHGrd heBTSgtr/o0gzvnkjJFbF0Qq7Be0cY9Cvc3F1iuQsH8Je1hwFK4KO8okmrqw dC5ibJniKIzP5JWcc+2GAGN7x/ldo9hx+NfaPL0ecOe/TFaMHMX5LpuKy9uI T9hmsrP71SiW9D2wjyA+Lzn3d0/E61EENDJ4Mi0osM/SExGJH8Ux97pfdQ7E FyV1X+BIGwUrbLNO6jUKHCMVdTvLRqFzym2A4wsFOVc/Fj8bH8WAhs3X1Ruo OKn1pZVv1xhGhSIrLQR6UVDbmJizewyBXC5F4SK9ED89csNt7xh0pSZYXVK9 yI9TUi6xGUP9SuYWe6VeiEoGed08OoblOeu/COj34suMy2LWxTH8Nh967erZ i8X5gnp9MWMItg07KfqzFx/NnGPypsaQ41zu6nixD1pqCvqYGSM65JWRgHcf 8gR72vPnxrBB7IpS1nVSj+sPSxZyjMM3xErg770+TBw++Pg7/zhuSl1Lc4zo g77X3mvlcuNoXKAwfDyPPB+hb1dnOo5zXm8+RpP6ftCXPbnfbBymO02H6hfR QD3yNaR+1zgEBpcFcROdObFKt6Zh7ziGmozn7MVokE7eZNpsPw6D23/TO1bR 4PxdTavDcxxLDx4p3bSdhslBmaX0Z+NYVHPd3fI2DaFRjLLIF+MwObzE3eUe DRv3ZNywihzHg1Cfq5cCaDiXtnu44DWJ/7ld8+MQGv5cuVn9MnEc4cm11UGx NNB46IH7isbRkUDraC+ioXFFKt+3P+NgyrQpRf8leuiXb+H5kXF8m3s9t5WL DtHb5ldVx8dRqZazrpGHjn30Xubz6XHMT29PnhegoypRotxrwQT4kt2c5ZfR UbLl2l0V6QlslJ3a91Wb6DerHQtCTSaQzSU7a3WSjvu7cvxld0xA/dlPc3NP OhyM1/DGmU1g3lA/Tu8cHVwbFy/JspyA35iI77LLdFiK1Ei02E1g3bKn3el+ dDBrbVVlT0/ga9m/13Yv6JCxdN33NmwCYXqVO3yK6fizvbleLXwCQgJzbuJl dBTo7bTNjJjAls8nviT+oMN1neqh0ugJpHFkcdRX05EuMOTC/DCBmEeflP62 0GHx8+IVtbwJXKy3aqn5TceNnf7RGfQJBGcO+Z8QIf7H8YSDZv8ErkeNNkeL MbDq4i7pxMEJvPzpFNFA9HrFa+GQ2JEJrDTTu6C9jPiBuai7wbMTOH7jeli7 IgPvk7JOnxWcxNR4u22iFgO1IsytatqTeFw01nLamvi9NT+n4zdPIsDcd9Ca +ImL+JSpuHUSWYcTH2whfkPm1AWNZQaT+OcrdGruEAMuJRyK/OaTaPW07HI6 xsD0ZWl+5uFJVDTryOeeY0Ch07wl1n8Sqn/KlkcFMvCwaGuyzX3yfemUpoPE D43Fq91dFDAJ1ofbpaLELxV5CWqdDJrEQ3UtyxtEp7vw1j3Z8HISVy2cxTZF kPg3HtxRmDIJ5cIWNVmi25dKm8udT5/EtJBwRuJ74kf+6k6uyprERFnOdd0E Bsx/yMbe/zKJDg9zyu4kBgYde/7uKZ2Es23HsFU68VsP3bK62ieRKN79qzOP gWdn7B4FdZHxCEvQjQoY+Gdt5mJEmcSVRvbOOOIXa1esFXlHn0T+P3+2UzED 5zKHTp8encSLkO8bv/xgIKPnotL8wil4frl57E89A7o6d0KlN0zh45G9fDbE /zY5S2tHaU3B7r4LpxXxx+cff2qW15nCpBor1ZLJQCKtRUZl2xQ83C30McCA XOi619qmU+BS8BbiGSL+a7Qpycp+CrHiZ4cVJ4l/lD21p9lhCp1GkzFswlt3 co7aH5mC2vezwo3Ev1+IXqvl7DKFueEqTV/i9+m7b+ae9STtHo/Op80x8DNh TdkjPxJPtph9KicTJ5ryTgj7T6EpuUHZjYsJbi5r/rB7U1CsNMyRWcCE/sHr uyMDp2AaelnVh5uJlEX19QnPpjCrfclGYRETFhtPXFR/MQXl9T/2lhDud2RL pL2cghXHEVE3XiZWZq22/xwzhTVXgoZj+ZgIdbnWU5YwhVODQQILBJjQDBL2 25U0hdZof/MwwlVf3inWJE9BJ05pv9ISJhaK/nJtypjCjbjH+fqCTFwpVPrT lzcFt5EhmQNLmXCQq5nhrJ/C5tXspXJiTAhKe2V+aZxChofe9meEC0XFz11s mUKj1CLaYnEmlPkOMZmdU5B/c+nEMOHhcXpTDXMKN4/sv/dckok3Qw+CHwyS eNzPys8Rtu5XszQemoJTx43VDlJM5HR5lWSNT+Hp67CbEtJM+P34mx71dwp5 wQ6up2SY0Cp+feYAJwtiqyovfSHMyDNZK8zNgsSYPWvRMjJfGQ/f3OFjAbId Zi8I//20zlFfgAXNNXtkuwinfKiVnhZkYX0j9Yi8LBPi0RJPT4qxIBh7bGsU 4fIXny2UJFkYPlhR30zYO9SBt1uahcQ2ky6h5Ux0PXhzY/8KFnI/OppfIRx0 Z/tWgZUsnL11NvE9YeMbzKmSVSz4q/ncaiL8/oK65xZVFg4ft/VXlWPC/syv NeNqLJhdCM7YS3iJxwVaogYLIYdeHbjw3/2hi+Rr1w0sqCYleYYR9jqS6yC/ iQV52fGZdMKr7A9LtemwMHUtZqaGcJM1R0OILgv9JfTT/YTv74l9sluPBUOh KVuOFUxsNTfdtciAhVch7AwxwkMm/QsLjVjQS1l7X5lwDAKLvLezYEpLqt1E eL+uxnWtnSwIN6U8NiLMvaluy5A5C+5mR4ssCGdpXJyM381C/RrGyf/uh91V pVKd9rJQ538m4L/7YVmlL6eWWbGgFLRS4f/3wSscVRptWOCPUVn3H9+U4ex7 bMeC9/oPyf89v1H8bfTOQywcp1W8/68/utCOQ1yOLIzfSpf67z46nH9A4utR Fj6P3fv3XzzmPI/qLh5jYXTnqcPahNn/NB5ruLKQ8+X2htWEU2brzPpPkPG9 H7kuTth58iJP7EkWWE8bjDgJi41IFTp4stC5cu/1/+6Dywa+XJM4x8KTtbfX /yLsTXPcXHuehcexgQ6ZhNV6OCceXCLj//Dw3zPCXW1vk42vskD3i5C5RDio ccdJtg8LWlEtSfsJT1Y8op69xcKM4G49bsIdixtPzN8m+1Hjn3IH2Q9FFrLD 9+6S/Vip2ZH63/6pTph7FcBC8NjRD7aELwmN3VJ9zMKx5f6FSoQP793CmxXE Qu2iC3FjZD+q1pWJVYWxUGw9VetPeKmo0Eu7cLIfdBOkLAizrGwV+iJY0Ge6 qy0lXNzYt24umoX7L0xznpL979jKuWNNAgvcHxnO3uT8mMiYVWUksjAddlZA g/DaQ0FWBsksyOWc8KOQ8zfdIXf0QAYLRw0q60E4uGfrVf88FiQlTJZQyfm9 onD739JCEn+f+jJ/wkecK/wjv7Ow8NX3SSXCan12wenlLJRKzi91kmCilHHx I6WOhYc+f7u/kvyRqPJt/elGFna7B1tZEg5x586ZbmZhbCc1pFOUiaODwcVC nSy0V6d5T4owMTuU3KnHYIFjsrOHX5iJHg3WsR/9LHD2yeY+JPmq7Kz+gPVv Mp4VnEd5CYeOVU6dHCXxSL4RZpP8pjHVLxQxx8Im/+uLK0k+lNBZ/0zpLwvq 9avMdAnPX74im8oxTfbheqt3i5momFm4ppxnGgIP91Re5mfCha1oNCU0jWh1 y30cJP+Gczte2L9qGkNud1/Ek/z+95jkpl/K06Be71GZIvnf5Xvt5J4103h4 IviFEWFNP+PLu9VJe3uSXOM/Bsr/qXjv3DyNqlmvzJ55Bliz4zf0LabxafAb RzCpNw72SQbfLKdheogdkUfqUdFnV85t+6ZxjSIk3j/BwOMrrX5bbKdxZ1bn vc44A8pTef5aR6fxd1p7x5dhBmxHHwSoXpjGcPbCXQ6kHn7da2zx4RLp/8yh eldSL1emzAuoXJ1GcPuxLWdIPR3yPPNY6fo0FgSMRV3tY8D/t/VT+fvTcKt+ Xnyhh9RjxornEpHT+Bp/zZm7hQHRrsw3XMXT+Mz/MuReCYlHwNc3u3Qaj+28 SzeQes6/1cTu1A/yfUWnM+1FpN6G1y1pqp6G7xOxlUpED4ztG77yoXUam+8G cEXkEj1QorJn7/A04upuneBLZiAw6eVclMwMrqxVdZwPY4C3w7lp//IZbHnO m2QTysAdftXURfIz2G8c55oYzICPW47rOaUZLD5yVmr/EwY8FBp/mWjOYK3f ZY/r9xnYGSb4fnD7DNrWWbvaezPA43vLesu5GejaW16RdSDjG/09k39+Blt/ KUmY2BO95GoXbXppBgH7S1zdiV4r3qMxYOUzg4c5z+WSiL67s7Lzhqf/DHKt Z9uldjPAXb75Y+yLGWxjXFS+pUfGKzrCKVg0gxfrhEKeyjKQdu9QfGjxDFp/ +L/ylGHAeb7UYlnZDMI/zlqYSZH1pUU9V6mcwW7ehCCWKAN+ObvWGTfNIFji UqzOYgY4HePtrgzMYPSQw6XtM3RwfHBMporMotXvd0RIPR2lv5s9o8VnwXOl 4dlwLR2BmvvUHaRmQZUzydxJ9LFkjnFS4/JZLHi5w3asnA71MpWP5SqzuPje baliHtHvtLF3n/RnceexXeRMPB2fFe698vaYxbnNzj4XrtLhFZH8SKRoFqKL Xy93E6Ujez7iXlHxLDxWtn0XXUrHvOPdW15ls8iZO3P8G/ET9xQPX6yrnMVW l6KwRQvpiEzkPxzcPEt0Ac/9y9M0lOQdVxP5MwtLRb/Q4g4apHqX/RSWmsPr jBsDfMTffFt7n1fYcw4nT7uMDinRoN0gWRV8dg48Y8cPSqykIeVa/FOx83N4 dHJhla4cDW+qSmWkrsxhL4/yL28JGu6f4Vm3wm8OQ1PuK5sX0rA/3W/fumdz eDbn/+gfvQ8MXd8Is7w5HFlhsJo7rg/C5l5qfoLzEPrr6nNFsg8xhUKLdYXn IWUttfKcSB80tyT1j4rOw/2q45fjS/pgqcJ85yQ9jzap+wNGC/rwcKGjguGq eZTvvvSxcqgX3N/NJDh058Ete3rJspJeTG1V4Lh+nLSr3ed5RPytf3pe16YT 86Dcsrf9d6IXYmsdvv3xmMdZyQC908d6sVHmuffhs/P4qSNSuNWuF2enBSa3 +cxDYFHVptj/flfKmO6fC5pH7He5++GivehYV1t/9es8/FNVcjkyqIgeFPZd kD8PWqvmZ9NPVDh/sFJ+VDgP1bT44/ffU9G/qvlKTOk8Vl/qGvgbScXUsq7l ZbXzuG8YUZjtT4Uw/283Mdo8juz75WJjS0VD2TrhV4x5eMs1jFnvpSLc/0zu 6oF56OfyDO0xp+KQceqx1N/z2PXkvL2pCRVynOMCW4fnEfa8buNmfSqoeVpZ xaPzMEsvvqi0mYq4a5eOWE6Q/p5TlwluoOKEbg5vy9Q8etK+KIytpcJs515t w5l5pOb6LJFXpqLuOK1p8fw8TvyxdT28goq0877cF//OI+JYtomfNBWX1ucn /eVgw+eFfaSVKBVbhjkO3F/ABn8dh5b8EirmE404RBaysWLyjjhzIRWxMupK X3nZuK0dY3mIg4rbKqX7lRazcVSoKs59lgJT+qL5T0vY4FQ13qo4QQHfW7O4 zUvZWGk4w9nyh4JKpwDLIhE2nIOFJ+8xKLDqFHzdKMlGYV6mRWsbBUcbxE3n FdgIuCinblhIwargA8P+q9hIDu+ur86lgLHnRbjQajbOhn2+eCCDAs+fsoMr 1diQ8nOLPRhPgU+RYpCZNhtc+sGHFR5RoH/z+Jb6zWxMO632v3uXQv4fT3XY ysaGU5ue0m9QcP+z6qazBmxYv1Xjfu5FgcXlU10zRmxcvMfjxDhJwVjfgQVv t7Mx2PIpuMOFgrqxYc0lO9nYafLn6hVHCp6lrG97Zs6G+rdCsc8HKEhxvLQ0 34KNt6ZBr6b3UaDHm/brzh42dk1HHn1sTsH3FzH7rPeT/sLtgxcYUxAbv/nG N2s2uv5tlbq7jQLX494qOw6wMfnGdPTjJgpUFb/+qj3IxhLr63sr1Sn408P2 tndgw2hfri5jNQVVQ2HvvzuycW+X5X4bBQr+BzIohQM= "]], LineBox[CompressedData[" 1:eJwVkXlYzHkAxnO0MY8OZ9iZJDmSxzob0vZuj6PkjKRtZ1DaVErJI6FRSoNU W6JLyrnSk0KZ0YoOHUzHNGOu3/yGFmF10LA15fj+dvaP93n/ev94P5/pARFb fh9uYmLia8z/fdthQ6i3C4HlUiG3/KkOxdU76E5XgqKVA11ykQ77poY9jfUm CA5wlL2ZoEOf30OzRB+C75FHhkWa6iAQFnqZ+hFkVXh2JXXRiGHfqTvPI5i1 u7ukTkWjvSmqxmMnwcJIzuMXtTQk/BMLKX8C3pk+jv4WjeM2Aw9KAwmkhfbf ZNk0tE/Flf57CM7X+AmLEmh8KKTafw0lyG5OMVuzl0ay7Yp7TWEEZ/evLrDw pZEkWj/LN4LgWXhD3u2VNEpSiw1eUQSfZ4kdPznS+MRdsGLEQQKrQxeHeJNo 9La6lWQeIiieO7JfPIzGtbRyp5AjBM57I+NburQosG+4MRRLsDsugzEotTBI hddL4ghC2Xe0+motNh/1uLozgcBizyeO/KYWRbNYl8clEQhs12TkZGrhJ0jN j0kmoBZWRqiCtKiaey5z1XmC3kmL3K3GaDFBtS3DkG3kJ2vqnNJPoTmr6cfW PAJzxdecDh2FxnlUCv8igVLX2q9ppBDb62m9+BLBrb92vQgopRCdyDv1+ArB 14oPqTNzKEjn2wijrxv9aPPZl+IpzNF2JDoUEejPmjp/D6YQn3T5uK6YoC7A mufiRcH8kJmn/y2CtMitPxicKeQFh497W0aQYH5yUrY9hXEWFy563iXY2vP2 noslhfJ1y69+rCAo2Np/WGjQYJ4+aL63mMBDFLp68KUGLfNNlwxVEmy0pJeP kmjAcalbxaky/n2t70kXaWBR7IaV1QStMwI9m3M1iBrBTT1ZS3BCdTVl8IQG zL/528bUE3RPP9pZGa5BTJ7k78hGAh/3XdrT2zWYrAl+O/EpgeiBRNrpqkGG IGv/kWaC1XaVe2PnaLDGLLwCbQROgypOsIUGj0rycK2dgJWhPVpvUIO75Ylk 1DOCtpxuauRLNXroAvM2JQE/N0Sc3KhG4PGWnEUa4/7P9JepZWrooxb5i7VG fgdovku2GscCcxxcnhPkbhHMlhxTg+VD9DUdBD1N3QJukBrVHYolwlcEy7h6 39Hr1LBfLkmQdBr5zgk3L12iRn108KmId0Y/bqFO0VPV+JmdNV7xnqCz9kZL /nA1JObfaN8eAms725G73qvgw/hfe/6BYOVnqy5GqsLrvqawAD1B4OL3HrEi FXhZ/YbGzwRjK44e5hSoYGXb4pwyQODfN4xfdVyF0w1DDX2DBAfGu9VNDFFh knhn2sGvxj29yoFsVGFPPbsw9ztBkHhT0d1lKizIc5wWZ8IgoPGjJW+qClVn Mt6NGMEgKmxtYDujxFqBoeyUKYO33rp37DdKqPbxY8xHMehcxWW5SZRIHlz8 QM5iUC34GCssUeKjl8Noa3MG5Rc9bS3OKZH+R5NFlSUD/9nPMn0OKTF6aX+u 7TgGZV925C/iK/HoUbPuzQQGo7LW66tclbCbXDt3rjUD1grXTTdnKnFyvyhm 3xQGTi/jIvaPUWKze8PgVjYDpYatGN6jwJOeT4n3bRhc+a1xGkumwJQvZed0 tgz0Gdme9fcVeCV9NKFuBoPkusSHomwFbv3DuWCxnkE7SxqfUiZHW9GmkKiN DEbyuobXpMsRuKV3ZqkXA/7mFe6iIDl+MdvWLfBmwFOzHre6ycGuqrq9YTsD UfBPXWlsOQYj7aM5fgwchxW+MgzIMNauYNlYPoNjabu4NlIZSrWfTR7uZOBa lvnD/WIZzhaMl3/zZzCj4crjtjMy/AflK/DC "]], LineBox[{{1.9719594070500728`, 0.23465694592500785`}, { 1.9725428701911636`, 0.2322520054418687}, {1.9780342879896655`, 0.20814110195932387`}, {1.9787207152144783`, 0.2049125237079944}, { 1.9794414638005315`, 0.20146320688855976`}, {1.9800935696641035`, 0.19828737795494622`}, {1.9807799968889164`, 0.1948850798934927}, { 1.9814664241137292`, 0.19141874234069034`}, {1.982152851338542, 0.18788486475886104`}, {1.9835257057881674`, 0.18059854857633048`}, {1.9841778116517395`, 0.17702723311775814`}, {1.9848985602377929`, 0.172990187737927}, { 1.9855849874626057`, 0.16905176871825026`}, {1.9862027719649373`, 0.16542358936579063`}}], LineBox[{{1.8752313690556592`, 0.4753095383371921}, { 1.8758574006209332`, 0.4742527768124575}, {1.8765163812159587`, 0.4731362964068816}, {1.877175361810984, 0.47201556630058383`}, { 1.8778343424060093`, 0.4708905398806321}, {1.8784933230010348`, 0.4697612000580378}, {1.8798112841910855`, 0.46748943371741675`}, { 1.8804702647861107`, 0.4663469772516909}, {1.8811292453811361`, 0.46520009242511956`}, {1.8824472065711868`, 0.46289282500105566`}, {1.883106187166212, 0.46173241482749666`}, { 1.8837651677612375`, 0.46056743772767333`}, {1.8850831289512882`, 0.45822364446318875`}, {1.8857091605165621`, 0.45710380685052326`}, {1.8864010901413388`, 0.45586117899841017`}, {1.8870600707363643`, 0.45467284005221414`}, {1.8876861023016382`, 0.4535394916572849}}], LineBox[{{1.9636536376298386`, 0.26633787985253304`}, { 1.9643057434934106`, 0.2640026580369217}, {1.9649921707182232`, 0.26151928554495507`}, {1.965678597943036, 0.2590092800506333}, { 1.9663307038066082`, 0.2565994378075238}, {1.9670514523926617`, 0.2539062570130525}, {1.9677378796174745`, 0.2513115515729616}, { 1.9684586282035277`, 0.2485548578195671}, {1.9691107340670997`, 0.2460312741692633}, {1.969762839930672, 0.24347888353862157`}}], LineBox[{{1.988443956853951, 0.1515047234554082}, { 1.9890857663091506`, 0.14726804518225706`}, {1.9897035508114822`, 0.14306783225577033`}, {1.990389978036295, 0.13824699826000694`}, { 1.9910764052611079`, 0.13324716985524823`}, {1.9917628324859205`, 0.1280473681268971}, {1.9923806169882519`, 0.12317577590392016`}, { 1.9931356869355459`, 0.11694049530170245`}, {1.9937534714378775`, 0.11157519041485597`}, {1.9945085413851715`, 0.10463841540932989`}, {1.9951949686099844`, 0.0979003193138736}, { 1.9958127531123158`, 0.09140696436683436}}], LineBox[{{1.9993478533201015`, 0.03610891332168296}, { 1.9999999591836735`, 0.0002856604710383269}}]}, Annotation[#, "Charting`Private`Tag$7040#1"]& ]}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw12nk01N//B3BSEkWWhJQk2oRSKS1PRVSkFKH6qJAUWiytpE2hpEVSkSxF ZN8iIYkoayHMZph5t2BGYcY6v/v94/cP53Gc836/772v+7qv1z00nU/tOTpJ TEysivz43+8dR382lv06uqlW1fBKQOFKTDZVO81UNYPZuY15O/viYBgbFZ2j aovcVhO3a/tfo1t94dVzOk6YZfJpUbtMBixrW7NjVF2xg7V+KvUnCwvvzH0p 0jiO85LNA8FSuRjb4fL4iM5JSJq/Z0r158HeVfD+gaovMpfNzU3aW4gKU7WC j9FnMSW76XFWRxEMtDZmDmhcQHlyoLm5dTGk2Nfi9+lcRtS1h5a/JkpA179l GqZ6A9GltkmZnR8QEatSpn0gCC4OvO8vvcqxQy5lQ0n0Tex1zbrnN1iO/L6v q3kaIcj0G8z9N/wRd9MUFtvo3IXTj2rnK/RP2Do3MfHXsXDYrXrTU7qrEpcr n878YHsPKKFVJ5dWYtUa3TDHyPuonHTIdySqCi9m7boZqhqB2sjkv7GrqnGp 9nHFvqIIOGjtmmn+uBr7gliTtA48gofgWKeTsBrTB88EvouOhH1NWumy/Bqc /x5xvkfjCfTco+trNL/C5mH7CWud55hcurFh+cc66FpqvVareg7W2hZTMcV6 SEl4UtxjsXgVQV84cKQehwonskptXyCvsTrbcbwes5bc03OIjMPLtsuKhx41 4KpUzqIQ1UQs4GfuVMtuxFKL+8HZpxPBurF+yaLWRjQFnfrVUZWIwJ+0g/TR RiyU0E3VO/sS5QbqrJ1mTagcT9T73vQKDxWrw30amzD9X+RqjTuvsWKwv2AD 4xui6BdN8ybSoR1tce5RTTM2qzsmMuwyoGYoHH9BNeP3fqMpUmkZmP2k3D1g cgvm9VxwSVueiS1+siWpG1tw6vgabTFaJpp863T701qg4JqR/HJtNiKWHy1N utkKB8e4DH5/LmLpXUkO6m3gddhKx6vlIWzibOH4yjbcdJI6utc0DwcmzUu6 tb0NOS6n1PIj8nA16esKy7NtkD25MeiSUT4mdNwuRdW14dO1tv2SAQUI/OxS dP1iO1a+kZdUlyrCE+mNN3Q+dEBGdPWgxbxS3E9NbTqkyEDUcXsnXfNSpGgP H760kIGF33UPy58sxYOEU9dvrWZg0+tWl473pbDcm/vrjD0Dha8j8wr0ynDD 6krP/acM9O7tKbasK4NO1XknxXlM2CU//uIzoxx/z3s5O85gQdum7+fH2xUo OeL4bIWABbVAC+NjcRVYHr7gScEECzPTXtyWLqjALvkIXSPJToxI7dWzYVfg mI//Kq1ZnWgoK/BhrP2EwIVzEzNWduKiwdUJIecTYqhNz194dqJOTklJz6QK IoXVMkq0TpyrW4eogWp0h1cORaSwIauXx6mWqkEiNdZvmclGYpjBnVH1Grye 5Jk4kcdGo9WiNqetNSj7prXR/gMby74o+WhH1mDxyOvY5lY2mFW8V9lGXzD9 grGG9OQuWHx4KVt78SucOqbtd3fswuxceYa4eD08fUWZUcIuHLwzatutXA/p vwbvisa7EO/K+VKpW486rffhPyZ1Q3dWYeFth3qYZ3+PnzqjG1vOHn40K7Me ZQOWxYaa3VgTbf8qQr8Bf1WiJldu68YRp1f/JTMa4KTvrtod0Y18tunX+g1N UEzWMr6iyUHLtqv9YRZNMFJMaH+ozcFQeomy1Z4m+CUE8hOWcGB0ad2Rz8ea sLLt5LXCFRy8VdQfKnvQBMuhbceLNnNQaKY2P/tnE94ll4UoHeGg+BXfJyLi G7RCHqUbxnBAm673ZE/sN/jsiSv48YKDMW+Pkpkp33A93uTIxUQONoIrFVb6 DWuWdT/NSeWgpLUjJuj3N7Qca64aL+SgVKqq6qzJdyzoyxH728xB+YmYOY49 36G14p3+ERkucn55eDgNfUd7wlGWqywXie7G71zEmvGQN7/kqDwXQW6t+08q NaOu65nEodlcbHOWf3p9QzOqFSbX6GtxUe8YpJJ+pxmLfOzbdxhzQdvmNUti eQsCsp66erhxUVu1/qiUUQvyXwqGZh3nosRcOm/G5hY8URuqfu/BRaxZkq2K XQvs33MMp5zhwtmk8+HygBa8jEvU9rnExU8jOwWH2hYUrCvq+RLOxaDORrk0 r1asTTPV8s3nYhN7S1Xo+VaorEr7OvyWi5sx2wLdr7eiuNvZ0v8dF8pKtjyt J62ojLtQc66MizXiHvVPK1pRr+jWsa2Gi/MdUeHBc37groVNwl46F2PhA3Ku 1T9wrHbRLllxCmaWI1Wbv//AgJ/HIX0JCnckxa5oMH/ggeSc3TunUJgbIMNv H/gBP8Oib4HTKGw6saDBZn4blNl3TpTKUwg0230P59pIHByVfK1JYdJw6sw5 2u1gZg4sWwQKc2q3/IN+O+ytPy+qMqGwKq6t2XVdO9KZFqdct1A4un3qs/Sd 7Tg/M6QzciuFz0+ctbecbcfjG/dsOywphBurGh+vasdvyjuAbU8hWTZT/W5j O/xCd6+zd6RQxjYXZXe0ozjZZXP1fgp/Q30rxnjt8KcvW/PyPwr7Ouqt76l0 QBA/J3uDCwV1/5suBcc74CIG3i8vCqt3zzWn+XTAP6Tc0/AUBeuFuYvFL3cg 2VJ1zcXTZHxfO3t3POjA27nT3oi8KbDVN55nFHVg5MYmrd/nKLx+/+/OlOk0 eA/F6m28SmGN6HD+3nQa1tNmy3Tcp2C1s+za1rc0NF86qlL9gILLM41dRuU0 iNr3hOQ+pHDPiEGptdDwZtL5R9cfUfh16oAqe5wG/6acPZOeUIhm2fmf3knH 6qsjG67FUsjWy9vmbE/HyCfPM+YvyHz5K82yPUJH4T26pFQchUGVb2lGfnRs DB7dez2ejMdmN3Mimg7PA1/O7H9JQbx8x5awHjoqkiruhqZQUJmZIhs4RMe8 PK93C1Mp6DlN6zgtxoAMo2FrMfH+kSofWyUGrL2Y3l1vKOSu3PpyzgYGtLOy FylkUKi5knhmhjkD4Hxa/5iYVSexSbSLgQq9t6mqmRRmeJS3sF0YWNC0+bly FgW3BEil3GYgwVO8ip9Nwb//+fdnjxgo2bok53AOhYeYeBEWy8D6whXDtcRl HcXrzuSQ71HsuP8il0LLEnVJl/cMlE4Mdk3Jo9Bz7lKTbRUD9+5z7roTqyoZ e6ztYODsrBV92vkUDJyfGC3lkO8XToq/QmyeKZRQ5zFQduxR2g9ib6uCaNEk JuY7smuuFFD4emNVXeVSJnpMrJWz3lIwlvsy6f5qJjJVTlmMESc/OWJ0wISJ jZkKdmaFFK6n333Bs2PiZ6rb5C/E/LXazYWHmej9YP9yWhEFp4/vpt3wYCJ5 wkpzK7Hxj5/eKleZWBNQkpxNnOwcmMS+zcTta2dzuomVe2fR3kQy0bA25bHi Owo3zr2ZeS6OiSmTh2xB3C9uunXzGyYOZQ/+PkbsdKftgkwBE5wAM8cw4q/K p9ObPzAxVzYgNoPYOE6yK/YrEykX1r2vI05eFjP7RCsTfy0Us38TK+cbWq1i M/HNOyFAopi8z6TmykQPE5vdr2moEv+tOZz3WcDEzOnbHi8jzkwZ9d0uzsKV wtvdxsQUzzw8XZKFeVu7JS2I561+8FpxOgv2E9T4LmLbi/SP5+VZMMvSrbYj vl26mEFXZsE92cLdgbh8sq9wizoLnum17fbEwu2lCsmaLDDl9s63JdYPl14+ YxELomiPtTuJ3b7bWXjrsnArNWWBKXGMatyR1hUseKgkMFYTf3fqubTBiIXC 7ZSHNrFMolFk3AYWHAym1cgTb/l1LVNyCws9258KR8j4L+jV1XhYsBAXv0zA Is70UeU0WLEg3brz00di6q2raPUeFiYp33dOIJ43kaH6zJ6FGwuC6gKJ7UxH DcX+Y+GJXaGUI/GdYHPro84sGL4onqlPPKxAv6bvxcLfLSeCG8n6Gjgsjonw ZoEXZCCIIXaL8SkYPseCbNH4imPE3xdJ93y8xsLjDNY0PoknGS87ySXBLAy7 y73KIN6S/WL+3TAyf1PPTfckztxgZOcQxYKOhsaaDhKf1NVrp97HsHCJ7icM I55XVRuyIIE8X27l9Y3Ed2xcS3rSWMj5I8F/QOL9Y2TGD5scFiJPLG9cSzzS MfI3/y2xVPf5DrI/3N3uL7r6kYX89XPVZhPHptI2cz+T+TiXpZBJ9lsLf9FB yzry/AVD9VuJzS6V3JvVxoLc0azIY2S/atz7M/y6j4Wzd6osbpD9XnIk8HX2 Pxa+pOxTnE7sZKjo+E7IQn+Mo8x9kh+iW4zffp3UidJrBoEPSP5QmRt6lqfc ieKDezx80ikU9M3VEc7phO3irPDuNJLfy7KaxTQ70SjmSd9D/MilbZXCsk6I m7r/0yH5SiFl8b9V6MSF0KiJN68pZF0qjt9o1gnrukHnqcS7d+7eY769ExoP H/Q6JZPzhn8uy35vJx7njPpMSaIw3ajq1MVjnXB6mmBskEhhSsXRntLwTqx1 UnIYi6GQ+Gj42eeITiTrZfUvJjY7FmbZ+KQTdo9tU/dEU7gmnZfCTuiEvLFW QMxTChO7Jx+f8rYTNS8U7s18TOKdHs/ZwerE1XU75nqGU2Td1zzay+lEPHNl yIm75Dy5WmN28HcnbF5JyLmFUfBb+DfBa6ATprU0N9vbZH+e2Ox8T4qNBXuG NsjeovBHwGQ0G7Bh/mZUfyiAQv6x8PIda9gwPBTm/MafwpXWTa9K17Nx/tV6 nUOXyP4viPF6bc7G7DnzDhWdJ/F19sCY/0E2yn08Qi18KDwdaFFdGMzGipgc 1+Jj5Lx2vTkeFcbG4zP/fNa7kXj+vrpzxkM2xuUdZxS4UqjMiUgWxLBxr5NP SzhC8pX3HqMvOWwcGJzo2nuAwrb+WltvJhsnvrSum2FNQfFIwFqqm43wkN53 tlYUGA266gd/s1HXPvYhagcF38zbXVsH2WA9jnVQtiDxd2q7t6pMFzq32r8i 0Y6h3orwsjVd+HrC7yLbgKzH73c1sne7sPpplJjRTAonH+/SOvGwC1smHw9T kaVgZNZ16VNUF3y9pfOHZMj5FSO93D+hC0VZs9qTp5Lv3e0Y/uttF7wkxI53 T5D6q2Bob0VXFwQ2zkFve7hou76CfmFdNzQ8XFZ9/8RFvMGn1c2bujEUky+9 /SMXnnSHuwZm3fAtVLxUROoxMaMroKy7seC2ydKHpF7T+V0XZ+vaDS+VTZ/m ZHHhu9vTTT+8G6La6umhz7iQnZvE6+7uxq/5Vm40Ly5M9l2nd/3qhluZmJYK qSe9ww99Yfd1Y0l2Wf9udy5axFWSWMJuuKz4UlnozMVzbrATbToH99N9HN3t udDLPFH7bRUH/Wua/NeZcLHTVC+1/AaHrOPFxRlyXNw5nuf2YiEX5ZER9jNe cfDbJC1YZin57hGJWPN4DixUXqac1edi7mXNFP/nHEyqiuizInWw99l98sxI Di4s9D07vIs8x+OMdcAtDtyYK2/uIXVt/Lk3PfPdOdhsl/lychMXwy6TTeQX kf7BJLXbPZCC/PrLg3LRZJ5WVuQqf/yJ+otV670CusBMr7jdqPkbKzU/H/BY zsboie/Pllz8A8u/Lqkfu1iwXfPffb3APyh7rX5zPpOFN+Lcm4Y3/kAwL2lX YDsLTlGCMxvv/sFGC3bdlkYWPnxS22YT/wfhZyIPskvIuTH/yMD5mj+4xrLM C33KgmJLr9VntR7cdfo38HYvOYfizm6p1ejBfrvQTS67WKjwFBk1LezBb4mB CzMtSR6TkNei6fXASWwu5UPOkTaDVcO8LT348E9w5RA5h2JvX3w526MH/fGH OQ1yLCzbPHXC7V0POsaWdKY+J3VESuqiH2U9CKiL/bCKnPOrlHbbbK/swfcb +4WVYUxsoKISlzX24EGg7LupAUxYhy215HN7UJXy5PvYASa823ZGXVDoxdXd 01ZUzWGi8EzEyjvHe6FWOqfBPYH00x1rD46f7IXS1ScRptEMlJvRg0769mLb +fBlS0mdVTNbp213YC/2rtNQn3OLAdr7gsBZj3qxKLRK/q4HA2LSHV+fl/Ui rnCl3ec1DFjEax7Lmt2Htpi71tNa6VgVJatTqd6HraEhjxiNdMy/O9rdrtmH gIubZ5R9JXXphWbnybp9sDY2/JBUTkeaTYiTvUkfvk48eSSTQYeieL/duHsf TmasO6kfSoeYgK6kcLIP0xMYp2qD6Ojpqfmm49OHWU/OHjp/lY7KH4k2uwP6 YP+fxKrB83RcyHTYmXC/Dx4Py2i33elgHioz217UB4327DlrdtDx1S5Nwqm0 D2IrNH8kmdPx1vJpuXdFH6j+7gWLTOl4YORrEl3XhyelG25Zb6Bjq9ziDTx2 H8Ks8i5v1qdj5ZRZoxI/+8D9ZBQ/X5fUxaPiRSq9ffi2yj5qxhI6hNwOoy2C PvhsnKUur0VHakm44SMZHpZtSrMvnU1HVK7/39czefh9cgE1YxYdN1KOZ5XM 4uGb6tSgEwp0OEWa6v/UILb3nmo9gw75k4Kl61fx8CfVjlEiQceES/evXet4 CFz54cllcTp+OzYmu27iwdQgMdJKREPF1lSdu9t4COtJ8lAcpeHc3EMLOg/y cGgkWG3nPxqcdxvsox3hYTur8FhwPw3W18VDW914WDo5614jjwadXwn9tad5 +OipdSushwYFdT/taj8eRIOsg2J/aBi3NnesuMhD1exf867+ouF77s+yohs8 9J5hnn3DpaGMKhzICyHff31Y0Z5DQ6ra7cVZd3mgvc1Lleum4dqV5feSonjw 9PndmtJJw8mciY/xMTxUMP28w1g0OHLrBTHxPNxUq1a8zKTBwMr7UMQbHlT+ HfMLodOgHmj6MDyLh9mHUo0TaTRMzVaqCs3nIU711czaDhr+dnNGgt7xMDH3 0rAEMWN2gd7VMh72lS4RbGunoWZHsLP/Jx52x4TJRLfRkBfgGHmuhrzvidPa 8R80vMhcWuNdz0NtrUGgJ/GdrtFxr+9kfq77dv5qpeG8cu2K42085Cw5e9iP 2GX786OuDB60bZzGZYmt/U89OdTFw7b4FYX5pG8zzjCp3f+TB722hghPYh22 vPi+Xh4MyoT3DIjlZ3WtsvnLQ+GyLemTiMcsct2tBDxwhjR72c00/LwYFG0x xkOH2K+djcS/9y1zjxPjQ2lZRUMt8WG+4iQNCT6sHYr9fhC3hIw9i57Ch6Nn /oZ+Ykstzmo1KT7eW/loq5DnlxXX1j+W5pP+PFx/J/GaffnHZ83gY7Na0P57 /+szec8lHsrx4f8n6WUn8YKQWzEzFfiQd1gyczMZX9SC00Z3lfgQeSs/SSeW LXZolJnNh/tRBywl83XDbrNHiCofmb654rnEw31LpkxV5yN82leGJZnvk8EK sTfm8fG9QL25n7hbc3TtJE0++szFul6S9Wmw/eo5rs0H6/CqTWvJ+pr35Upe WszHzuagW8pk/YtvxbwQLuXjqJInaxKDhqSik9//6fMBiTMFU0j8qNvanzyz ko+CAR8DdRJfD3ohxVvFh5XN93QTNg2X58tv+L2Oj2EffkYOiceBwuHmYxv4 2J7gpzuJxO+JvexTnE182Bj+iXOiaLC7mZPAMuUjgFZwfPNvGnR77GRad/JR ilcS6Xwa3tpalYbu5kP/ebb9g780mL7f4rNpLx/n7skIbw7QsP+ufsdLBz74 46sk44Q0hBhMS/V14eN3g1TKY7J/lZ6InBa78WFn4pEzTvb3C/EhBZo7Hw7X fZt9JEl+amJfND3JB/Vjhfk9GTq4vsU7FC7woVu6TSJEmQ5vevbEp0t8bLRX GTupSsf41tfZFy7zERRuX+eqTp4/O1Kt8zofbWn6tMAFdJgWnvqdcZePlYPd z71JPnsxviB0ZyIfEjpJm7ZY0aHrprpJPImPtWI2BzR301FQJ/c39zWZ37qB LDlbOupixxzVM/i4Jgxnqh4k79vcsuRPIR/TPGYNsD3p2H8zpDq4no+De2o3 b7xPvrcvMGBDEx/CBydspSPpOGN/dgX/Ox+e73t/cJ7SEbzY5Yl9Ox9yvkFi nxPpyK/ZcFyHw0fXKTcTo0JyHsjxpSpG+Ijd5l2Z201H0/vQW9vH+egvrM4T +03ytae2ZL2Ij9W3xjwdeHQo1OyXaJ/cj59UkGjpCHHQp3GebD9ix4y2HZjJ wMzRp3/naPUjwz6okLaJgenUVpqPZT+a08Nuiycy8PURa//wzn74xbRIvElh 4I7ZpbbLu/uhmW5y7XAWAzLxmS0hdv04V1ZiS5UwIP3fnMbYQ/1QWGeWeKKd Aalv/E9ffPqxeXLiEWNFJiaXPsvQiu6HLc09Lpz08e0bzLYxn/fjaZbXjskR TGQU9bCexvVDyqzN5Vo0E/vzNyooJPVj0b51EU/TmMhKY/qKZfejMac+dm0D E07RWsb0qn4UyX+5cEeGhbcXUisi//XDSXx4oYcd6XNXvWubZvkXIU4Gro1/ WUjd7vyiZOgv8hd71+7awMbgH7WZ3Mh/CL/AGbE/1YW8vRYSEWYDMN3x8cKK hG4EW74NUrcYQEXT8iluSd04aLpE6uX2AfBKR1dEpXZjkqHMjHzrAfwn9/Ho YE43rBXqlX84DODCN6f+BxXd+Nmwb6m61wAeHbl5y4HTDTVrN5vERwPYU91p P7GQg8BtQbG53AG8fXbqnWU0B01O7gcNfg3g4vbYl5WxHCz0s1R982cA5TPT fmxK4KAmTv5hAn8AnyQZSotSOFAajbn5YGQAX57VVrYUcJCclu91WnYQDtJL FmU3cdCg8HO97ppBBD+cZrVHkosFS74Ik9YOwumxjrvvNC78kJ6ntX4QNTqC jIfTuVDz9NWfYzKIhD39pdUKXLh+EtOS3jEIlYdv6hQ1uBCeU5X++d8gWo6a qWsYcaFJ3/EjIWgQgl9vCmSPchFavj7DLngQZk/+BMqTevtvku7NqbcHEWPW ypxJ6vFyb9lVHvcG0Zkw5Pq/+11Xqabwlc8GsehUy/lP/lwkGzpafMgcxL/B FL+4h6QeDz2Wz+gYhFjnWEtlCReRpxzC7jEGcc1wneDABy5Etttdt3QOQm/6 wKte0k80aCxTeMUdxLBWZK5kNRdn8vq8vPoHsfkRdVPuGxe5LD/tMckhGLXq TfLncmFsdCNCdeUQju0telwmTfpzZ9U1MauGoGukSi+fTsHnbnrrfKMhpDxw 1S4n/dAbzg+1xRuG8HrHntICBQrzIpbHrTEfgubsGvVANQqT+lvS9u4fwmpH hcTLSyjSty+pCrs2hK7Qj1ZbtlJwbylxlw8awkB8iSXHnMLkSbbSj24NgTnD yjZoG4VNjpd3Rt8ZwgebldeLLSlkTv32LSVyCO+n/Dw0dQ+FCFd/VlXKEFTm 7bCTc6JwcF79sPg38veto3a/Sf8pq+qd9655CIVBClt3+FH4oDjrjN+PIezN eVTx6iwFnWkHfv6kD6G4P/Gs3QUKvH/clvqfQ+iM8sgJuUz67+qJnJiJIRhU Xx/cGUxhVUXcKXtxAT6rP9Y8F0I6yBKzZfKTBQhzdOdEh1Kwyg2NvzFNgGO9 i9cw7lCYFat830NJgC3aftPW3qeQ7Kt3ct1SAZ6Y/WBve0Jh/6nGJf90BZCR N65YT/r7GSd8OW/0BVgvlN267BkF70NFB+evFiCqfOoisRgK63eYW041EYD+ YvDC1RcU+sx+SX7YIsAfiwxXxzgKL3Cn/OJWAR5If/m7PJ7M5+qmdX07BHA/ u2D0awKFOg2nxc12AgQdWVTDJh3wFTXx7rsOAgTnVtFjkygYzkqM3XZAgP47 JVGOyRSipH8rFx8W4MZ/KZIfX1NwHvSbkuAhgDJvT4PXGwpKfJUPB08KoNUc qDszjULV73f+ymcEOOEkMMwg1mWJD4ScFaByYal5VzqFwZow9umrAjB/ng/R yqJAk2l2H7suwKFJ607EE5dbqfNu3RSAsYXhNi+bwr26lNHntwV4X3gqb0YO haVNVUq1jwT4MvdLdnUuhZmKcs8cogSYTTUGrMijINi7T7P7KRnPyM9jkcQV zd3LR2MFELi1P7XPp+DUJm6xJIWs166ymwUFFMzUttfmvhHAM9rETuothWUH 7u01yRBgymf+1n3EQtq8w/a5Aog7e5K+ngJjrhuXnS/AKunxn3qFFD45pXme LBTgufg2tzPED1jrLwSVCFB+J6K2l/i85nXRzA8C0sM7vl1UROGQc01Q9EcB 5IucPjsRmyfIT19cKcCHvCkTD4h1ux0e5HwW4BIr3bGCWEH7hQq+CGB9t6jj L/HwUep5Ta0AjlXBN+a9o1BJ+aV2Ngmw8dwfSy/iN4vfr/BqFuCe3yaPe8QP j09+K2wVADKN2ZnEF1MsN91oJ+PJENf6333u4T8PKuToAoxf0yv+SWyu277j GVMAt715l8WKKSz30mzUYQsw/dG/E7OIldLd7bO7yXy6mF9dRDzSl0HfSJHx XJMuX0PM0he4VP8SIN8uevn/7lerTm/6bdtD1venfYUVcXpW0GlWnwA7OVE3 9xJH/P065NEvwJyoIt//3d9eMlQKEPwTIODP7PD/3e86+x6QuD4kQPsxmZZ9 xNvy4kNkhwWYtpK3fc//7neHfsk9HRWgb9rcPzuIlY1WRGpPCLBye1+hCfHY ufPqWWJCCDrf5RsSd70tjd8gIcTd/xidWsQ1w5JLPk8RYlFH2vr/3e9mGltn 7JUS4o7stYpRMh+PLz1azZQWgr4p27+L+HIx7d2JGUJYbX3k+pnYdVxry5Cc EI23r/qnEO/Y5PH5qoIQ4tNrK0KIVwRmW8+YJUTKztqNbsQqZcPfo2YLUXa0 lfrfffyE2OYDC9WEEA3gozJx9+bgzgx1Iap1DjT8Juv95Vr9sfUaQtAy/OWK iaMmO/nuWSjEyy0a2vuIJ1xmr27UEaI3UDB7PrHrx4bBXUuE2IB+R4rEn8E1 03M79YQocr701Ys4snPM6KuBEO3ZCeO6xGMm+cIdhkJ82D838H/x/Vm0+OK2 tUIcO63vu59Y7xDbuMpYiKNyB3/KEkeUPBvdulGIaLdJ6WVk/xwOkA0w3SIE x4Gpp04sGPkXuMmKfE9ErmwO2X8H96eZvLcWYubjO8p7iMsL3cQ32Aix9PVs 7z6yf++eb7u2bp8QErL7tTWIdYZKglYdFmLObOH1w2T/37E7b57jLIS9+3eD 3yQ//M1dMXXlUSFyN/gbniEu8UkM1j8hxP5zBuvPZVLY1x9ye6mvEN+C1A64 kHxTvNvU6vVZIQalzd+3kny0IHNs+uILQrimrTy3nbjv5Km72peFMLTDv4Uk nwX12N6fHyyEe98jhWKS73IpjcfK0UIkGVRoeCRSULNos3/0XIjLM3+r5JF8 euXVAxWlOCHGV1h5jZF8a3V0ylP5V0I8C7q7+DrJx93s39HTM4Xo+ezed/o5 BUVGXvykCjIftzeyah+T8U8PCCioFOKz866b7ZEUpNebOXhWk/c/9FfsfkTO z6imGS11Qpw9+q+r9yEZvw3v/Os2ISqZL51p4RQaPi3etZtH5u/29YmFt8j7 B3hLpvwl6zdDTFfsJlnPBQWTiwaEMJbYbfrjBoXSwK1FWiNCSGsN6gdeI/tx nbO2YPIwuKOcyckBZL7Tno3GqA1j3eGL+UfJ+SlFc27ZM3cYza/Mw+W8KdyQ Xpo1df4w7ig+3pt/muzXY2/dzmgP41SUdOyIF4UTms2NZgbDcNn8a4uTO9mv j2ST/2wdhlq94ef7BylMCbhqu+7MMJQct7S93kLmt79nuNRnGLnh01JlN5P4 dXOINT87jPG8kdrTIPl7l/7vvZeGIbtOZeryDeT9C+iBJ4OGIeFtZBa0mpxv n9emJjwZxiAzqCV3EZkvRb64bPkwdI0PhMqR+iX71oGkiIph+A2aWs+TIvlk rNJqTtUw6JftDi2VJPHIiXm8+Osw5jvouhtPIuf9W8vlpi3DcKeNyRqPcCHu lORw/vcwDo3OuVLwiwux104ZbIURHF9SvOx1JReVPa0nY2eN4Eun6gKDCi7u GNjoHVQZQc50664cUo/Nfmua1jx3BKtnBFRkFZP6rWpx6ufFIzB+7zF4M5uL g5y/r9I3jSDF3ScpMoaLQs1bzy+eGIFusGa0BakHLx8VczLyGkGcssqA20ku zF5fmDtwagT5l0OnXCf1Y4OBZ7SX3wg+vjDak0XqzZ+weXr4ygig8zCQ68iF stOcSPPIEVR0h4Vmb+bC+2lGmEL5CMzHfv37IstFwdjTW+UVI5h8+oLXPRku xpxuXvWuGsFf+32vbKS4uKX1n1/T1xFcH3PfUyPORfQb6f8etI7g7uCtixED HHwqOaqr0DuCNX1/jG63caDSNeeLvMooDm4qsRt9wcH7ZcFS8idHoaNkYvJS m4M132fXPjg9iv0z15i2anKQ6Z90X8lnFAbMcT3JeRzE11aqqZwfxcYK3rv9 yhwEn5qyXOPaKIo/bb/FkORgT841m+WRo7Dc3FK0i+oGZRzwdHvJKF7MlvxQ 97Ib8ju8da/JjsFDbu9sSqUbLz7IyRjLj8HQipfQpdgNg3Vpv/oVx0Cr01Si yZL+ZPHPV0dUx2CmWB9RNrkboZJOmpsXjuF54ruv9vwuTP64XVnMeAxh7MqM 4souDK3XFLt8dAxbt/fWWZ7uAm15w7cLxWPQOByV9imPjdg/8gESpWPw2p4u JpPJhvPrvTphH8ZwOUZeZJnCxq+FredfVI6h4/IiXtlzNobmMOZWNYxh4fHU VWdvsSEv3XNMiTOGOUe8RqUd2DDnTh1LnzEOi9dZnLLBTmQ+x8Jup3F4eDbJ Oy7oxL+L/6YeOTKOJWtUC0LmdGKNfdIfuss4cj69k8pT6sQ7ObmcVvdxxAWX R41KdqLyCmPzF+9xNBy1LrH4w0KHc8Ch7JvjOHs2NLAlmwXJRe+eXkkfxys1 7wMxG1nYLnHq8njmOJgx38OU17Bwh7nA+WLOOMyXnw4J0WNBPip0ie/bcbiN fSg6qMGC+rT9b4+Vj8N33sdZBWIsrPwjbLZuGUdE+oLCYzeY+C9jjfzciXEc l4KF4hUG8vcLZRvEJlA5/K+U68WArGTR9OsSE6Q/n5eYfICBsoMbpX5JTaBX Ss9QsIaBBdJmolzFCSywUfv3rocOrqtNr9WSCexNdX1XaUvHSTXPan/bCUiK LZhBn0VD5aflVfr2EwhdHSqzTpwGjTO8CrbjBPIkb8Zd7ulAQ5V32bZDE1BY WFz/qbwDK/0uFCidmMCod0fyppMdENTffPkmcAJvPprPTi1rx5WguKu0lAnM yLocUWbThhnnpu44kjaBE44bjp5f34an7l4K3IwJbFq+OXuWdhtyLNcl8HIn EKK/L1kk+AGufGPFpNIJtLyvkwmJ/gHL52JSS75NwHCVq8pyViuUCw7d9Rud ALWi4tC6XS1ISP60b2R8AmIPDPuGV7XA4OkyjUAxEX6IuuoeqrVge4AgI3iK CMruZf/ZcJrhbxre+ExOhAPHlb90nW8Gu75EqVxLhPehG/PaHn9H2s+5z2St RKi5d+Ld84wmBMcEHWZYiyDtKt964HYTXPf0aqfbiBDqtCup0q0J6sXFmTvt Rfj6MyE5Rr0JoeEHKu84i/CWZfmf8o1GuK950i99QQSW432RpEkDzP6IFbRf EuGh3tUH12c1QOOFu3/KZRHsLj+lT26uR8u0tVN33BAh8bvD817temylt6iH hIsgI7Hx5tmiWiy4obRt6isR1mo4PTiSWIOJtf4zWpPJ+5V3a0Qa16Ctt6vp VaoIq0NkXMfqqnHPPuc/8ywRaKtbX4v9/QzR0j0+QcUiaD04098xtwrtzMK1 dqUipBTHST2Lr0R+hObEwnIRnKSU+bcXVuLkBD+4okoE9R8WjHUan0BrDH8u 8U0ENUP+m8Kf5Xh7U+DyrVmEBc/2BU7fXY6I9YeWJPwQQbPT6rBS9gdYvtTL 3cIQIWDanbAOlzLo7I+8oNApQmz09jxd11JMkpvYxO4SIWs4vaKB9x5F52ur r/4SYb7subePqosQuXx1uE2PCMvmJd8RyRXiDDvaVpMnQrx/hr7p6gJYPZ6s 1t9P/i4s25VpkIfFVp7MsgERGuIbcvoHsjFZ/HviPYEIB8/RciI9MsHKW3/i 8IgI664MniprTEHxiQR9g3ERQnyDmZWCeDzWkBkUiUT4//8v/j/Bfe3c "]]}, Annotation[#, "Charting`Private`Tag$7109#1"]& ]}, {}}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->NCache[ Rational[1, 3], 0.3333333333333333], Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*SubscriptBox[\\(E\\), \\(c\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.2, FormBox[ TagBox[ InterpretationBox["\"0.2\"", 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.4, FormBox[ TagBox[ InterpretationBox["\"0.4\"", 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.6, FormBox[ TagBox[ InterpretationBox["\"0.6\"", 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, ImageSize->{730.521875, Automatic}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {0., 0.753828232188389}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[{{4.081632653061224*^-8, 0.0002856604710383269}, { 0.0005827660898796174, 0.03413477296282887}, { 0.0012575006171516125`, 0.0501333335824916}, { 0.0018402258907046993`, 0.060637237579376016`}, { 0.002422951164257786, 0.06956749709834613}, { 0.0030976856915297816`, 0.0786447813579917}, { 0.003680410965082868, 0.08570909334516502}, {0.004263136238635955, 0.09222952761539074}, {0.004842794537065078, 0.09828317268127487}}], Line[CompressedData[" 1:eJwdmXc81e8bxhGFRPZIIpEkVKIUl5UiaRhJUiSiUmmThtKiklESUZIS2SOV lZWs7M05nIGyOdap3/P9/eX19nw+z+d+1n1f13MUnM/sP87FwcGhsoCD47+/ 62P2sKVErqG7maPmdf83KC3fqf7r7nW4KI03ymnmI7enruq79U20uQe1fpQv wNm9LuYOz27hlSAtMP1LAVyNvcRin/sh4pr7cObGQnRq3DN+JH0HzlPvDFIo hQiNlipQOuSPPzVyjnGniyCjyVf7IfAuuk80nysaKkJgpOT05uF7WDHCGWZ+ 8zvoVaffLNB8gIYfvffMOIpxytEx7Z7TQ+wvnvuofrkYK6uH1eVjA5AgvcDw 2GgxrtxA3ZPiQLxyVtMbdyiB3K7J049tH+NdWYtaxVAJti9/+7bf7QlUnzp1 5u0pxfXSiKWF1kE42/3KLT6/FAev91o+mgwCu5Phd2hdGbS01R4dfPYU8m+D uqfDy9At2OAovDoY/fXa8wrTZeAyfzdtWBqM1Ij7CYuPlONwle318psh8Fil kHe8sRwx4nvuPpQORYzc8K0orR/wqXpebJsbCnbbfLTx8x+w9e/hUjwUBs1P awcPTf/Aer01hsNzYVBtOnVp+kAFBCbP3fgS+QyqiuuMVLIqwEjM/XZP7zkG V687NivyE0UuC+atup7DsXK5ua/nT+g58juxHMMhscTgyI+snzBQvLts8eYX eLfGKmyhRiWsAjuzcgpe4GdOm3Ds1UqomyhP3nGKwODr6ZIjtZXgm/fcuI/r Jd5n2DnyKFehLz373PLYl0D8zJco7yrkn+RI6TeOxFzk8Mf11VWIUDQbyuyL xIbppgs/5Ktxqf2pmp9/FIy6tWRPe1VjX0ibh6XyK0hGyTqt+l4NtV2KH2TK XqG1p2xiUqQGZ0OWpXYciUZyoYjQ/OEa6IdxfXLkjcG7DQa76ek1OPL5b2q+ dQwsWzL0drNrIL4mSN3u2Wt4BGZwHgirxS3e9NUPpN/ismnItyVpv7CVtb/T 9tRbuEZkFho2/sLjkhPPzFvf4pZhYrTsgjr4FO8251kRhyV9dENN+TqIWnnY PvQm3D2YxWdah0pDfgG7qjjYKg5Fz7nVwaVWWapT5R2cDnDuX/eoDnL5pVUJ Pu9gLRAsEfCpDpm7e1s1mt/B0Pmgr2x9Hc5su/2EvSYe4ituTw6O10HKx2lE +VY8mrdvFNWQqAdV+vtseE08+BTl3cq16pFcn3/xk+p72H13FOKzq4fruYq7 2gHvcXfbJksx33p8KJFaoUJ9j1D2p0drX9XjWEZOw6TWB6zxkuU6/60eAuPP Nq0I/IDtJhYmCl31CO/0Ns78+wlebp6hzhWNMJQ9+LbLJhnPN5gdPsVoxIC9 Dg9vUjJu+lUI7eBuQpxZc27jv2Ssqvzp6b+iCeJi0lvaNVKQ/2ejRad+E7wW 94saHUyBS/I+xe8Hm1CqalfcdCcFvY3OysyLTZAxL7twMiUFfV6bTShPm3DG XVuJoyMFfw9X2CQnNaH4flxj6KJUFAopde7/0QT2irGF6VtS8cL59RyD2YRT Zbe18xxTsU9p0XtZjmZkCwZ/vRmYCs/nG96+km2G2ELn54zMVBzlldxsrN2M AxeFxptpqRA5fii9zKoZeSYG00uXpKH6okFdxclm8AVaXq/XTUOD2LRS/L1m uN6WO6jrkgbzSMXm7JhmfHnziK/mSRoCLWUSJ3ObsdIrT5A3Ow3yN65Vnq9r hgvlpMc0PQ25AzEznMPNGFoqL+3Nk46tNpd4JDlbICBv/lNBPx2c+Cfuu7IF R/HZJ8s9HVpc+214trUg01FFbVdYOq5qCrz3sGmBqO30wrS8dGhyX5z0ON0C /mObpSmMdMiyuCzV/FvwoU9MVEcmA7epbWsE3rRgYUffnyjjDKy/45uQ8LkF dgdfJ4+MZmDFVR6O9mWtGG635n8jk4mtyZNmvhtacdeR97iVcSYamkb8uc1a kX7sjExWaCYOmZRqFV1shTl95UW3b5nY5vQibCagFT0nmmqk6JmoakhOkXjT isuDD1QrBLNguieFLZ3TCkFPPX8fnSwc5VuSsqC6FXEjI91qR7Nw5fAazYbe VgQWqKdzPs3Ce473R3vYraifPBD2JDULDkUePWuE2uBxZfGIQVsW1i6u+5m8 qg2cc3nmY1zZCGvgNlqu24ZwX6+42LXZqHBtjPPa0wZ1DmUOG+tsRC3rGEl2 acO54axrbO9szFRLvCm70oaU8OSQgvhsnH0cVjLypA1j9wyWuldno3Rf/EBb bBse8E94yLCy8fKEbXpuThvkH8WX/FyRgyCJ04W3q9pw7NpmowumOUgck4tf R2lDTULt08VncrDpwdvgb5NtcJn/l8cVmYNXVqotHgLtqFUNF4wozsHtwkHz Svl2iMqsCTAazMHqLYf+yWu1w5Yvd9Gg8GfMKfdIOe9oR2hamtwn/c9Iz5yw DzvcjubXxi9tj3/GWz/x5MSz7Shlp26ZevAZLsfuW6T6tYM7PmHv56zPuBnY RokOb8eGROGFsry5uGlFH0BBOxb/u+WwQy4fz7sKS8aEu/DxYWv2OpN8yIYk HtVY2QXh9ISFS8/mIzPwq8CgVhdS9bmcp8Ly8deAmsW3vQv6H5qPtX8j7cli tWM2Xfj84VlmtnoBFok4nON40YU/Vr+/7qouQNiW6DAH2W7YvH/+8/ySIui/ fF14QKAHSvuGmN8DinG5JvBW72QPXvItMN4fUwyGsOfMQnYPlibFBPBnF+Ng ZtWSPm4KZnmt1PdRixF00UL1pygFI9qJNyZYxXAwyt2waRkFLm1m5YmCJWjN jPFkraSgLdhx5VbFEnQ7qD6cWkNBbUH2+a7NJehI92jbvZ6CkqGlJbcsS7DB bNv4q80U5C4a597jWgL/gcLdbw0oSDH/7lZ+tQQtjyry1XdQsGroaMrNIFLX szSkKiwpiHh3kV8orgRKEoHq72woCGqoPpSWWwKt4mdVLQ4U+HOpJNnUluDm 15tOPC4UzMSVTC5hlGDNQzW3eycpOOPYtidyrgTWh2xTLLxI/IEbX0O4FOAI O+Z2lQL73MAxqnIpxLm/6V27ScEeJs347jbCBykaAfcoMJFA2Jr9paB+e60X +pgCXZNweqVbKRQSLj96Hkbin080OHStFP33lN9tjaRgZUD9Zb2wUuw6OVOq /5YC6erYtqz3pWipl0q6nkCB4Pz8Wvu8Ulx8v5XpkUoBt6qtL7uefM9N7Ny+ HBL/geTqmP5SLLtVarohn4Ihf155k3+lMG977r+klMSvv9y7TrQM/R1JXwIq KbA78O9z9NoyPPd9q8rfQEG1kJiYukEZviYP+Pq2UXC5egvCJ37gGTXN4dd7 KgTVM2k/eCvgdL3ozb1PVLx9pBk4J1uB92m3ErZkUPHLYnWr4/YKXJ54v+Rp PhVrf4qdV3pWAckjefeXNFHRXTb8Lk3nJ2IrW08YcPViR2GcYJV3Jfy1JzTj DvRCMkO4i5OzBtF7NKpFWL1wCJyz7pOowcFX97F5vhdvXGg/S9Vq8En5/quD nH1QE//8OcCuBvKzX/88WdwHo0tHw8RTasDf/63854o+aEceeBeqUYvOINUI vx19cHJ8d/h9Vy3Mc9MP/gvpQxbVuLJmWx2+pTYcyVOgoWnnrdFHO+rwXZNh 36lEw9SnPAmL/XXY9YCPOb2GBh2fLU7lRAdUXS3hVt5AQ46oxlRBMNEBL7Ra DxjR8NlERj6NWQeF7/LflznT8PXdyPnQ0HrUS3h80oymocgjatnB3w24d91L rVeIjvT+kycdpxrQyF++hC1Cx9sTul+OcTTiyIM3e8Uk6PB3bbb3FGtE48bm v7qydOx0Fo64va0Rb8JuS7mr0FFz0F/qU2AjnmnZS5gZ0NGx87T4gnVNuDXE GS3nSUdV2dbjvDpNMNsncoN+lo48U/7MJYZN8H33sPPjeTqiTeKtpWyaEDvH ktK4SoezASVknW8TJAOcYyTv0MHUsRGxq2qCp/HpN+de0DGprCeUdLoZSYs+ f7MsokOfalT28EozYgeP6LCL6bgbtfPGidvN8G6uaXtfRoeEmPWw4otmdIv4 vGFV0qHNebImorgZDasKLM4303GlPfzJ/WUtkIs+Wto7SMf8kwkhlx8tSDE2 rv0kwoDJrtkyw4YWtPwbEuEWZyBwIcfNFd0tUFI0CreVZGC57+KRtokWSMq9 OT2+jAF9j5W1++RbQbl3yFZAiYEbJnuDcLkV2nRkfNFmgGvm49JlSqQuzW9Z JG7HwLIqo3FotEEhUo9r7CADWq9bG122tCGgxfBj5SEGjpstevlpdxtmO4X5 fI4wUP7CWcnoUhs2OvBxfHVl4ImutK57WRu2R3jo1lxgQPba3WPZ7u04HrA8 We8JA5v2LjftON+O9d33tX8FMWC5KkOF83o73sg8v+IcTOKrpPwxD24nOmd+ 3fUwBqiyele6ctuxk8vBLeIlAx++jQfyCHTgoW30Ydd4BrT/Hc2y+tSBT+wW b8tvDFjsLvDbntOBVaHrzofkMXDs5Yo9OkUd2Lybw7Qpn4EgnS6GTFMHvlBE r9kUMdB/5pA0ld2B+gdXNXXLGIjssbl2dncnxOatfkfWMpCmnrnT+UAnFhuW xuf/IuO9JiZu7dSJQPOthj11DExK1SfpXOyE8LtpwWWNZDz79nb/jexE937V ZZdbGeAsMjd69LsTRx4lrfhBYUBqaYLgjalOeNr8/PWDyoC6I1/7WY4umGbW uJT3MmA/W3beWqwLeq811PNpDGRs2B63bFsXrlS83h/Sz4BrLHgTArqwMfkv V9MIA9dGXzW8DOuCVL17Y8YoAyH4G/MougtnqrgCno4xSMn8uuVcehfoXFtj TCYYkBbTPbm5vQs3NQUuPWUxUHlHq7pUtRuRLT6MEjYDukI/uZ5u6gav8o/x 4L8MvH/hpHPIoBsh6q7+h/8xcPvT45hhm270drA3D3IwodvC9JK61Y0GHp8+ 5gIm3jvfiKcGdKNWV1HuDTcTEn/EOxKfdUO0ndppx8PEKKfxdsPEbgSVzw/n LSTPr42S9Gjuxo/Rr0dP85HnszZaaFG7kVG+o0qEn4k7BhU3//7uRnOrb0Em 4ZSEuQtmnD0o0VXeOrGYiYB8la5OiR44/WjwsxJkwqjfL2WhUQ8WdJx0eSnC xFX16oqTO3pgE99hIC1K3j8vTau16EFnpP/bUMJyf5OlXx7ogXtcNOu2GBMz Ip1+Gqd7yHrsFtkuwYSmnUpUqFcPMk4+VEkm7Bp1Pnvmcg8sM6ZLJCSZaFjN //u7Xw+o5w886yKcsk3Hxi6cvM9/JnCvNBOMW35nvkX14ILFk/Z3hOXKqh6s jO1B2qb41FnCgftc8n4n9SCk/OlYhAwT358lt+xL70GDjcVhBuHZ9tmxrJwe GOyrtly/jIkTrk9X3/reA5rfcMk3wtEfOwzp5T0IVT+7i0OWiaaR1Q67qnuw aaPPAQPCJj55QeKtPag/MMD1mbBPAd9H764ePLi25s0o4TQem5Lu3h6cWPCh bPVyJlYEDc58GCLz6SwRF0g4z+nGh7TxHgz8PLg3h7DjRtGDX6Z78Pnao3oK YTZ3PG8x0T0j216p88kxEdmkm1PJRUGGzhUndcJb31e7NS6iQHJu4al9hNuu Okt2CVAwf3mTpRdhqeUPLw1LUGC4R+ZFEuHsoeXK00QX+V2J5SwnbFuQ2sih QOrw9DnDHsJTT7f78ylTcCHptN0U4bBjrVoiaykYbPQ15V/BhNam030ymhR8 EH2wWJZww0LOUMVNFPB5XIxfS/h8S6ixmi7RRfoqMlsIiySojGuBgjTbu8dM CKf6fH2jZ0IBrf387d2E9+7eu9/UjALTAw1XrQmPyPVx7iE6KjD9oelBwk9G LqcesKLAZ9vV/kOE1YsWOx21o+Dzq1vODoSrQ6KXuh8m8TDupNoTPn18Y8E5 ZwoM/I812RIW0Ck74+1GQcd2du1ewh95D624fYoCWbv1r3cSNm8bqg44R0GS eZepPuH+j37XQy9RsFaAWrie8H1fCfUoHwr6BqRFFAmv3pPQGUd0V3aos44I 4VJ5/Uef/Clolwhf/4/Ml+vYr23ZD0l8nWEcA4R5io//zn9CQWqG9ts6wm/D Zl6Wh1IwXmIt+5mwidujXb9eUICIHyeiCPduVphrfUVBvpTngxuE/fgzE6ix FPy8K3P9CGGFjp32g+8pyLz3zlSPcEFSB99EEgUhsv1UKcJ/93K78xBdxt02 EPaD7J+oleFSgt8oeNdsnfiK8LaJteUSRSRekZ9h5wj7PLdarUJ0WRtTlbKU 8HTnG5p5D9F9VbnWm8j+fZ6sHWZFI+30R3+nyXnQvlVh4jBAwWbKzNVcwhdX jcWenqDA83FTnzbhMQ9D5yBeKi6tFPcXJ+fr6bZG4RdLqMheppxVRs6jpqB7 4WsRKj4abcy+TNgzNUg+XZaKAgc3lV9STAyyursaNan4UyNR6E7Oe5bbkyJz bSoeJGrt4yJ8s1n/Xf5WKjKXb9odTvKFRHbU6Q+mVLTkf7z3VZzkp0uH5q85 UCHn18WmkfyzhM7fM+pExf1+/z53wi02ud9d3agQHQjRGiT5y3OTdMBeLypm xEKF6MJMREw0Sa+6T4XCuu/xX4WYOO5ylx3+iIqN88a1awlrNmyiLAmhYnf6 +SPhJB+Wpoe+Z0VRUcrnleK+hORfr/06P9Op6FfLEPlD8unO0Sprr24q/FQu 3L5E8rOok+9mRh8VuiWLBr6Q/N1VqybrMEBFoopi6l+S3y+kBPRunyT9Y/uR a1wk/5wx85Je3ItF+eYadqQ+TP0pflKg3YurrZ+2Pp1moPDwhfObtvXC19fv UiKpN4FVigcSDHvRP5bDXzLFwMokP7lQi15owUlviNSn3acMktycewHL/m/y pJ69HfhSIfi4Fxe9k3N5SP3zfL5H0SOkF6E2XhZzDAZ0THp9SsJ78TzecucQ nYGKKP5112J7cTbE4FplHwOjew8+6c/pRcpx81L3HqKHsqesint7caX6mfvq ZgZ4XR4mrujvRfCWIIdxUr/rlsrx+Az14uvWrpSvDUTveGzPWj/TC/Z3BZ8d pN4HLg+VihbsA+XgJ3+9KgZab6/vvLqlD3Hl1wcSiJ54o1myqVG/D+4RTgkW hQyc6rR7rGnSh7emBYWDRH9w6NwEw7IPq+KtJhSIXlEeqH5t7dKHjNXGtp7Z DFzYe8pV40kfileNX7j7kQHB5fHDfX19yOacWpb8lAED29udvf19GOnSnpAk +snryZGf1KE+7B86e+L6YwaaOKXie6b78Mtsw0qTAAZe0e87dgjQwLY8XJ52 h+iNFI+qei0a1NLCd8heJvNtrP6x6A4NP8TbZJfZM3D9Gv+Lwgc0GMQultUm ejAlk3634DENrRbbYyxtGRBTiXbOC6dhzviD1pX9DHQILJXJTaThfG/HpSRz Mt6m0fupDTQ8+OeQEK1L5ss90zVmFR1/Qze2RkoxMGCQdH+xKh2Z7HNt2hIM 7JCKS7ikQUeh9+baKlGiR8tChyx06ThT9yB0TJCBq6suXJrZQ0f4b15HSR6i f7o33N3vQ0d1sm9H5QgdhjYpcdx1dEy4XHbsKqHjldr7sjNER9toTF8Q+070 84KY/rYOOhzFQ2x2FNCRk/ZkXSqDjqAi3TOxuXSoLz2TeZhNx1aVijatZDpk f64ryVIh6xTEgS/P6Zgy+Nh34gYDjj65srtc6fj6dvDlZTKPUzHlayyP0eHH q2Z19wHhZh59y6N0CNYmFsaGkH310fjSdns6lI98etVFdOqkXe28kCUdtr6p dtZEV74VkhMV20Tm4XN2JRSYkNn15kIVBx3ey6dvWyozEXsz7ownm6zDrc1b D69lwmpgIwRmaajc+fmD9yYmjj2ctdYfp6GvOfduphkT37wb1lyj0SA29c1g rRcTWzIEaA4/aLiwoThD4jupO4sNz8aRdXTVko95Ws7EngE9+8CHNNhpXwsQ qGbCxuGO8Zm7NGzV1XLmamXCbeN6vjXXaeAyeis0NETy3nKq2KnTNDzZd8ej RKYfK/byflu3i4aEsybyF7z6wXeAq+LhAhq6PxUH/FIYQKl4b/2kax9q/3D/ 3rB6AEtHBS50OPWhQG27RajaALZW+nrkOfQhJqFE4IDOANi9V8wv7O+D87vS Rx0WA6ilKbnF6/WBHlX+hHF5AK+/clxfLdqHP4GVIeyqAfwbnOo7m9uLOY+G l2u8B9EuUDQtM0OFtfbhp+o3BtFaY++sME7yFif97sY7g5j4HvNh5R8qHMNZ 5/QeD2JPtdQ3cQoVhSUyO/e9GUTB1Ar3b+VU3JN3mrhSMYjCA/Emgs9JHm76 Y1Eu8xvFbXE5TzSoOPX6klHVit+wYvhfZqhQUXzqn07dqt84ffuj85aVpK4s EFbsUP+N98mWcT/FqGjV1JoZNvoNM70f6h9mKIgO8I6TPPkbKXk9VUakzq01 XPTX9ctvsK2L/YuIrkhJ+Li6peA3XiiJV6WZUqAltnefWelvGEXrGr/Up2Ab I/zt2l+/wR+VHW6tToHlI9VdI/TfkIybGHFbQoFX6+7wqyJ/sGjodCRfBdFp 50I3BLr/gcsLv3fz23qw442CW6rkEFrWbC93XdoFrXBB5VLZIQgK3f1hwe6E /OO5vjaFIewLLA1UHOjE7NVGZ261IQyGZRbGfu9E0r4HjgcMhnBqz2/LMeJ7 RDlHbdgnhqCyKFjvT3MHuo8UmJjlDqGzY/jYiZB2VNokLXDMH4Krtcx0D/F5 ObsiiryKhxDg4ahu69GOYJ0LBpHVpP88dxFdw3ZsF1LZNkwdwvYOl+8Lhtvw Me/JxrDFwyhfeCwqc1cbwjOujX1YOoy0fyIBd3TacCfBPTVPfBjaPp+1XBXb 4PjMWIO5YhjUj/n7PeZaIezJUt2qNQxztccuOYmtuLz8yEqKwzAO8B72GJZo hfNeTdsOp2FM+lwav8fTCsvbnA+bXYex4tF1Q2fio5X7Y0erzg7jTFHBr991 LWjIYBbk3hkGD9c2maaQFhQwPk9kPhiGp4zf4uk7LfgoE6CS+pi0i9++efNS C/xurguKDx9GpM7U2Vb7Fnim//3+JmoYSm3cNhm7W3CQXsOKejMM8ZrEO/yG LdC08DoSmjgMuVvUfr01LZC9YRzyJHUY4dfPxSnJtWBRmljZwyzy/BwzIUq0 BWN9tFn/L8NwnhcT+cjXgi7JbPVbBcPIVAmq38/Rggrz+87XSobhPXat4AWr GZm+B59drhhGdtIC7zvDzYhJUa3wqhmG0JmUE5LMZgT2zrFPNwzj+Z/qdFtK M65IVK13bx2G5jnaZtP2Zhwze3XcpWsYq+bO3e5vbIbltTMvjvQOo0dGsMT4 VzN0kw2q7JnDuKkqV32gqhnKVGFO2z/DONelsUilohnC4r1a+8bI+ixTPZlV 1oz5HRknLFjDSB045cdd2gymt3/kjvlhPFs+7yha0owB27UnXnOMYEq04kVv cTOOjohyrVgwAvHR9fsukvamB/MvI3lGoMGZoFJO3t+lSNskwzuC7MUpZu3l zSj4WlXznH8Em00Gjif9bIa2bZa7+JIRiGWdzd1W04zE4VcLQoRGMJ2gJnav vhkrH9yLWioyAgp9U+ODlmaErzyr81hsBE2tS+cMu5oh+NXu12JJ8r0tSUqJ fc24Y2N48oH0CPyZnNHFg82YGVrDs0h2BMmfFY7dG2+G532R6DtyI5Df9VZl ZK4ZfQpzm7kURvBOGu6z3C2ota48xVYi7X6cpj1SLTAdyljoozKCnatCx1IV W/D1XlTMtOoIri6O3CWs0YL4XM+GcY0RMA5cknTZ0YLr8sLbBraQeNrpF0p9 WzDxeabRbdsITE833vcKbIGHFfUMTX8Er39khfi9bIHN3fTYHuMR5Djtqs3N bYHab5vFzbtHEBQYYsTLbkGOtUX+w72EO4skK4RaYfzN6Ly+1QjCi+ofNq1s hf1jjfY4uxEM91Bjv5i14oEm38cLx0bAze93cHNEK+gXvpqLXB2BdelM/gej NsSwVz7c/ZbE2y5SLR7dDlGhEd7i2RGc5n031WjYhbpvD++Zscl67F2kHGrd heBTSgtr/o0gzvnkjJFbF0Qq7Be0cY9Cvc3F1iuQsH8Je1hwFK4KO8okmrqw dC5ibJniKIzP5JWcc+2GAGN7x/ldo9hx+NfaPL0ecOe/TFaMHMX5LpuKy9uI T9hmsrP71SiW9D2wjyA+Lzn3d0/E61EENDJ4Mi0osM/SExGJH8Ux97pfdQ7E FyV1X+BIGwUrbLNO6jUKHCMVdTvLRqFzym2A4wsFOVc/Fj8bH8WAhs3X1Ruo OKn1pZVv1xhGhSIrLQR6UVDbmJizewyBXC5F4SK9ED89csNt7xh0pSZYXVK9 yI9TUi6xGUP9SuYWe6VeiEoGed08OoblOeu/COj34suMy2LWxTH8Nh967erZ i8X5gnp9MWMItg07KfqzFx/NnGPypsaQ41zu6nixD1pqCvqYGSM65JWRgHcf 8gR72vPnxrBB7IpS1nVSj+sPSxZyjMM3xErg770+TBw++Pg7/zhuSl1Lc4zo g77X3mvlcuNoXKAwfDyPPB+hb1dnOo5zXm8+RpP6ftCXPbnfbBymO02H6hfR QD3yNaR+1zgEBpcFcROdObFKt6Zh7ziGmozn7MVokE7eZNpsPw6D23/TO1bR 4PxdTavDcxxLDx4p3bSdhslBmaX0Z+NYVHPd3fI2DaFRjLLIF+MwObzE3eUe DRv3ZNywihzHg1Cfq5cCaDiXtnu44DWJ/7ld8+MQGv5cuVn9MnEc4cm11UGx NNB46IH7isbRkUDraC+ioXFFKt+3P+NgyrQpRf8leuiXb+H5kXF8m3s9t5WL DtHb5ldVx8dRqZazrpGHjn30Xubz6XHMT29PnhegoypRotxrwQT4kt2c5ZfR UbLl2l0V6QlslJ3a91Wb6DerHQtCTSaQzSU7a3WSjvu7cvxld0xA/dlPc3NP OhyM1/DGmU1g3lA/Tu8cHVwbFy/JspyA35iI77LLdFiK1Ei02E1g3bKn3el+ dDBrbVVlT0/ga9m/13Yv6JCxdN33NmwCYXqVO3yK6fizvbleLXwCQgJzbuJl dBTo7bTNjJjAls8nviT+oMN1neqh0ugJpHFkcdRX05EuMOTC/DCBmEeflP62 0GHx8+IVtbwJXKy3aqn5TceNnf7RGfQJBGcO+Z8QIf7H8YSDZv8ErkeNNkeL MbDq4i7pxMEJvPzpFNFA9HrFa+GQ2JEJrDTTu6C9jPiBuai7wbMTOH7jeli7 IgPvk7JOnxWcxNR4u22iFgO1IsytatqTeFw01nLamvi9NT+n4zdPIsDcd9Ca +ImL+JSpuHUSWYcTH2whfkPm1AWNZQaT+OcrdGruEAMuJRyK/OaTaPW07HI6 xsD0ZWl+5uFJVDTryOeeY0Ch07wl1n8Sqn/KlkcFMvCwaGuyzX3yfemUpoPE D43Fq91dFDAJ1ofbpaLELxV5CWqdDJrEQ3UtyxtEp7vw1j3Z8HISVy2cxTZF kPg3HtxRmDIJ5cIWNVmi25dKm8udT5/EtJBwRuJ74kf+6k6uyprERFnOdd0E Bsx/yMbe/zKJDg9zyu4kBgYde/7uKZ2Es23HsFU68VsP3bK62ieRKN79qzOP gWdn7B4FdZHxCEvQjQoY+Gdt5mJEmcSVRvbOOOIXa1esFXlHn0T+P3+2UzED 5zKHTp8encSLkO8bv/xgIKPnotL8wil4frl57E89A7o6d0KlN0zh45G9fDbE /zY5S2tHaU3B7r4LpxXxx+cff2qW15nCpBor1ZLJQCKtRUZl2xQ83C30McCA XOi619qmU+BS8BbiGSL+a7Qpycp+CrHiZ4cVJ4l/lD21p9lhCp1GkzFswlt3 co7aH5mC2vezwo3Ev1+IXqvl7DKFueEqTV/i9+m7b+ae9STtHo/Op80x8DNh TdkjPxJPtph9KicTJ5ryTgj7T6EpuUHZjYsJbi5r/rB7U1CsNMyRWcCE/sHr uyMDp2AaelnVh5uJlEX19QnPpjCrfclGYRETFhtPXFR/MQXl9T/2lhDud2RL pL2cghXHEVE3XiZWZq22/xwzhTVXgoZj+ZgIdbnWU5YwhVODQQILBJjQDBL2 25U0hdZof/MwwlVf3inWJE9BJ05pv9ISJhaK/nJtypjCjbjH+fqCTFwpVPrT lzcFt5EhmQNLmXCQq5nhrJ/C5tXspXJiTAhKe2V+aZxChofe9meEC0XFz11s mUKj1CLaYnEmlPkOMZmdU5B/c+nEMOHhcXpTDXMKN4/sv/dckok3Qw+CHwyS eNzPys8Rtu5XszQemoJTx43VDlJM5HR5lWSNT+Hp67CbEtJM+P34mx71dwp5 wQ6up2SY0Cp+feYAJwtiqyovfSHMyDNZK8zNgsSYPWvRMjJfGQ/f3OFjAbId Zi8I//20zlFfgAXNNXtkuwinfKiVnhZkYX0j9Yi8LBPi0RJPT4qxIBh7bGsU 4fIXny2UJFkYPlhR30zYO9SBt1uahcQ2ky6h5Ux0PXhzY/8KFnI/OppfIRx0 Z/tWgZUsnL11NvE9YeMbzKmSVSz4q/ncaiL8/oK65xZVFg4ft/VXlWPC/syv NeNqLJhdCM7YS3iJxwVaogYLIYdeHbjw3/2hi+Rr1w0sqCYleYYR9jqS6yC/ iQV52fGZdMKr7A9LtemwMHUtZqaGcJM1R0OILgv9JfTT/YTv74l9sluPBUOh KVuOFUxsNTfdtciAhVch7AwxwkMm/QsLjVjQS1l7X5lwDAKLvLezYEpLqt1E eL+uxnWtnSwIN6U8NiLMvaluy5A5C+5mR4ssCGdpXJyM381C/RrGyf/uh91V pVKd9rJQ538m4L/7YVmlL6eWWbGgFLRS4f/3wSscVRptWOCPUVn3H9+U4ex7 bMeC9/oPyf89v1H8bfTOQywcp1W8/68/utCOQ1yOLIzfSpf67z46nH9A4utR Fj6P3fv3XzzmPI/qLh5jYXTnqcPahNn/NB5ruLKQ8+X2htWEU2brzPpPkPG9 H7kuTth58iJP7EkWWE8bjDgJi41IFTp4stC5cu/1/+6Dywa+XJM4x8KTtbfX /yLsTXPcXHuehcexgQ6ZhNV6OCceXCLj//Dw3zPCXW1vk42vskD3i5C5RDio ccdJtg8LWlEtSfsJT1Y8op69xcKM4G49bsIdixtPzN8m+1Hjn3IH2Q9FFrLD 9+6S/Vip2ZH63/6pTph7FcBC8NjRD7aELwmN3VJ9zMKx5f6FSoQP793CmxXE Qu2iC3FjZD+q1pWJVYWxUGw9VetPeKmo0Eu7cLIfdBOkLAizrGwV+iJY0Ge6 qy0lXNzYt24umoX7L0xznpL979jKuWNNAgvcHxnO3uT8mMiYVWUksjAddlZA g/DaQ0FWBsksyOWc8KOQ8zfdIXf0QAYLRw0q60E4uGfrVf88FiQlTJZQyfm9 onD739JCEn+f+jJ/wkecK/wjv7Ow8NX3SSXCan12wenlLJRKzi91kmCilHHx I6WOhYc+f7u/kvyRqPJt/elGFna7B1tZEg5x586ZbmZhbCc1pFOUiaODwcVC nSy0V6d5T4owMTuU3KnHYIFjsrOHX5iJHg3WsR/9LHD2yeY+JPmq7Kz+gPVv Mp4VnEd5CYeOVU6dHCXxSL4RZpP8pjHVLxQxx8Im/+uLK0k+lNBZ/0zpLwvq 9avMdAnPX74im8oxTfbheqt3i5momFm4ppxnGgIP91Re5mfCha1oNCU0jWh1 y30cJP+Gczte2L9qGkNud1/Ek/z+95jkpl/K06Be71GZIvnf5Xvt5J4103h4 IviFEWFNP+PLu9VJe3uSXOM/Bsr/qXjv3DyNqlmvzJ55Bliz4zf0LabxafAb RzCpNw72SQbfLKdheogdkUfqUdFnV85t+6ZxjSIk3j/BwOMrrX5bbKdxZ1bn vc44A8pTef5aR6fxd1p7x5dhBmxHHwSoXpjGcPbCXQ6kHn7da2zx4RLp/8yh eldSL1emzAuoXJ1GcPuxLWdIPR3yPPNY6fo0FgSMRV3tY8D/t/VT+fvTcKt+ Xnyhh9RjxornEpHT+Bp/zZm7hQHRrsw3XMXT+Mz/MuReCYlHwNc3u3Qaj+28 SzeQes6/1cTu1A/yfUWnM+1FpN6G1y1pqp6G7xOxlUpED4ztG77yoXUam+8G cEXkEj1QorJn7/A04upuneBLZiAw6eVclMwMrqxVdZwPY4C3w7lp//IZbHnO m2QTysAdftXURfIz2G8c55oYzICPW47rOaUZLD5yVmr/EwY8FBp/mWjOYK3f ZY/r9xnYGSb4fnD7DNrWWbvaezPA43vLesu5GejaW16RdSDjG/09k39+Blt/ KUmY2BO95GoXbXppBgH7S1zdiV4r3qMxYOUzg4c5z+WSiL67s7Lzhqf/DHKt Z9uldjPAXb75Y+yLGWxjXFS+pUfGKzrCKVg0gxfrhEKeyjKQdu9QfGjxDFp/ +L/ylGHAeb7UYlnZDMI/zlqYSZH1pUU9V6mcwW7ehCCWKAN+ObvWGTfNIFji UqzOYgY4HePtrgzMYPSQw6XtM3RwfHBMporMotXvd0RIPR2lv5s9o8VnwXOl 4dlwLR2BmvvUHaRmQZUzydxJ9LFkjnFS4/JZLHi5w3asnA71MpWP5SqzuPje baliHtHvtLF3n/RnceexXeRMPB2fFe698vaYxbnNzj4XrtLhFZH8SKRoFqKL Xy93E6Ujez7iXlHxLDxWtn0XXUrHvOPdW15ls8iZO3P8G/ET9xQPX6yrnMVW l6KwRQvpiEzkPxzcPEt0Ac/9y9M0lOQdVxP5MwtLRb/Q4g4apHqX/RSWmsPr jBsDfMTffFt7n1fYcw4nT7uMDinRoN0gWRV8dg48Y8cPSqykIeVa/FOx83N4 dHJhla4cDW+qSmWkrsxhL4/yL28JGu6f4Vm3wm8OQ1PuK5sX0rA/3W/fumdz eDbn/+gfvQ8MXd8Is7w5HFlhsJo7rg/C5l5qfoLzEPrr6nNFsg8xhUKLdYXn IWUttfKcSB80tyT1j4rOw/2q45fjS/pgqcJ85yQ9jzap+wNGC/rwcKGjguGq eZTvvvSxcqgX3N/NJDh058Ete3rJspJeTG1V4Lh+nLSr3ed5RPytf3pe16YT 86Dcsrf9d6IXYmsdvv3xmMdZyQC908d6sVHmuffhs/P4qSNSuNWuF2enBSa3 +cxDYFHVptj/flfKmO6fC5pH7He5++GivehYV1t/9es8/FNVcjkyqIgeFPZd kD8PWqvmZ9NPVDh/sFJ+VDgP1bT44/ffU9G/qvlKTOk8Vl/qGvgbScXUsq7l ZbXzuG8YUZjtT4Uw/283Mdo8juz75WJjS0VD2TrhV4x5eMs1jFnvpSLc/0zu 6oF56OfyDO0xp+KQceqx1N/z2PXkvL2pCRVynOMCW4fnEfa8buNmfSqoeVpZ xaPzMEsvvqi0mYq4a5eOWE6Q/p5TlwluoOKEbg5vy9Q8etK+KIytpcJs515t w5l5pOb6LJFXpqLuOK1p8fw8TvyxdT28goq0877cF//OI+JYtomfNBWX1ucn /eVgw+eFfaSVKBVbhjkO3F/ABn8dh5b8EirmE404RBaysWLyjjhzIRWxMupK X3nZuK0dY3mIg4rbKqX7lRazcVSoKs59lgJT+qL5T0vY4FQ13qo4QQHfW7O4 zUvZWGk4w9nyh4JKpwDLIhE2nIOFJ+8xKLDqFHzdKMlGYV6mRWsbBUcbxE3n FdgIuCinblhIwargA8P+q9hIDu+ur86lgLHnRbjQajbOhn2+eCCDAs+fsoMr 1diQ8nOLPRhPgU+RYpCZNhtc+sGHFR5RoH/z+Jb6zWxMO632v3uXQv4fT3XY ysaGU5ue0m9QcP+z6qazBmxYv1Xjfu5FgcXlU10zRmxcvMfjxDhJwVjfgQVv t7Mx2PIpuMOFgrqxYc0lO9nYafLn6hVHCp6lrG97Zs6G+rdCsc8HKEhxvLQ0 34KNt6ZBr6b3UaDHm/brzh42dk1HHn1sTsH3FzH7rPeT/sLtgxcYUxAbv/nG N2s2uv5tlbq7jQLX494qOw6wMfnGdPTjJgpUFb/+qj3IxhLr63sr1Sn408P2 tndgw2hfri5jNQVVQ2HvvzuycW+X5X4bBQr+BzIohQM= "]], Line[CompressedData[" 1:eJwVkXlYzHkAxnO0MY8OZ9iZJDmSxzob0vZuj6PkjKRtZ1DaVErJI6FRSoNU W6JLyrnSk0KZ0YoOHUzHNGOu3/yGFmF10LA15fj+dvaP93n/ev94P5/pARFb fh9uYmLia8z/fdthQ6i3C4HlUiG3/KkOxdU76E5XgqKVA11ykQ77poY9jfUm CA5wlL2ZoEOf30OzRB+C75FHhkWa6iAQFnqZ+hFkVXh2JXXRiGHfqTvPI5i1 u7ukTkWjvSmqxmMnwcJIzuMXtTQk/BMLKX8C3pk+jv4WjeM2Aw9KAwmkhfbf ZNk0tE/Flf57CM7X+AmLEmh8KKTafw0lyG5OMVuzl0ay7Yp7TWEEZ/evLrDw pZEkWj/LN4LgWXhD3u2VNEpSiw1eUQSfZ4kdPznS+MRdsGLEQQKrQxeHeJNo 9La6lWQeIiieO7JfPIzGtbRyp5AjBM57I+NburQosG+4MRRLsDsugzEotTBI hddL4ghC2Xe0+motNh/1uLozgcBizyeO/KYWRbNYl8clEQhs12TkZGrhJ0jN j0kmoBZWRqiCtKiaey5z1XmC3kmL3K3GaDFBtS3DkG3kJ2vqnNJPoTmr6cfW PAJzxdecDh2FxnlUCv8igVLX2q9ppBDb62m9+BLBrb92vQgopRCdyDv1+ArB 14oPqTNzKEjn2wijrxv9aPPZl+IpzNF2JDoUEejPmjp/D6YQn3T5uK6YoC7A mufiRcH8kJmn/y2CtMitPxicKeQFh497W0aQYH5yUrY9hXEWFy563iXY2vP2 noslhfJ1y69+rCAo2Np/WGjQYJ4+aL63mMBDFLp68KUGLfNNlwxVEmy0pJeP kmjAcalbxaky/n2t70kXaWBR7IaV1QStMwI9m3M1iBrBTT1ZS3BCdTVl8IQG zL/528bUE3RPP9pZGa5BTJ7k78hGAh/3XdrT2zWYrAl+O/EpgeiBRNrpqkGG IGv/kWaC1XaVe2PnaLDGLLwCbQROgypOsIUGj0rycK2dgJWhPVpvUIO75Ylk 1DOCtpxuauRLNXroAvM2JQE/N0Sc3KhG4PGWnEUa4/7P9JepZWrooxb5i7VG fgdovku2GscCcxxcnhPkbhHMlhxTg+VD9DUdBD1N3QJukBrVHYolwlcEy7h6 39Hr1LBfLkmQdBr5zgk3L12iRn108KmId0Y/bqFO0VPV+JmdNV7xnqCz9kZL /nA1JObfaN8eAms725G73qvgw/hfe/6BYOVnqy5GqsLrvqawAD1B4OL3HrEi FXhZ/YbGzwRjK44e5hSoYGXb4pwyQODfN4xfdVyF0w1DDX2DBAfGu9VNDFFh knhn2sGvxj29yoFsVGFPPbsw9ztBkHhT0d1lKizIc5wWZ8IgoPGjJW+qClVn Mt6NGMEgKmxtYDujxFqBoeyUKYO33rp37DdKqPbxY8xHMehcxWW5SZRIHlz8 QM5iUC34GCssUeKjl8Noa3MG5Rc9bS3OKZH+R5NFlSUD/9nPMn0OKTF6aX+u 7TgGZV925C/iK/HoUbPuzQQGo7LW66tclbCbXDt3rjUD1grXTTdnKnFyvyhm 3xQGTi/jIvaPUWKze8PgVjYDpYatGN6jwJOeT4n3bRhc+a1xGkumwJQvZed0 tgz0Gdme9fcVeCV9NKFuBoPkusSHomwFbv3DuWCxnkE7SxqfUiZHW9GmkKiN DEbyuobXpMsRuKV3ZqkXA/7mFe6iIDl+MdvWLfBmwFOzHre6ycGuqrq9YTsD UfBPXWlsOQYj7aM5fgwchxW+MgzIMNauYNlYPoNjabu4NlIZSrWfTR7uZOBa lvnD/WIZzhaMl3/zZzCj4crjtjMy/AflK/DC "]], Line[{{1.9719594070500728`, 0.23465694592500785`}, { 1.9725428701911636`, 0.2322520054418687}, {1.9780342879896655`, 0.20814110195932387`}, {1.9787207152144783`, 0.2049125237079944}, {1.9794414638005315`, 0.20146320688855976`}, {1.9800935696641035`, 0.19828737795494622`}, {1.9807799968889164`, 0.1948850798934927}, {1.9814664241137292`, 0.19141874234069034`}, {1.982152851338542, 0.18788486475886104`}, {1.9835257057881674`, 0.18059854857633048`}, {1.9841778116517395`, 0.17702723311775814`}, {1.9848985602377929`, 0.172990187737927}, { 1.9855849874626057`, 0.16905176871825026`}, {1.9862027719649373`, 0.16542358936579063`}}], Line[{{1.8752313690556592`, 0.4753095383371921}, { 1.8758574006209332`, 0.4742527768124575}, {1.8765163812159587`, 0.4731362964068816}, {1.877175361810984, 0.47201556630058383`}, { 1.8778343424060093`, 0.4708905398806321}, {1.8784933230010348`, 0.4697612000580378}, {1.8798112841910855`, 0.46748943371741675`}, {1.8804702647861107`, 0.4663469772516909}, {1.8811292453811361`, 0.46520009242511956`}, {1.8824472065711868`, 0.46289282500105566`}, {1.883106187166212, 0.46173241482749666`}, {1.8837651677612375`, 0.46056743772767333`}, {1.8850831289512882`, 0.45822364446318875`}, {1.8857091605165621`, 0.45710380685052326`}, {1.8864010901413388`, 0.45586117899841017`}, {1.8870600707363643`, 0.45467284005221414`}, {1.8876861023016382`, 0.4535394916572849}}], Line[{{1.9636536376298386`, 0.26633787985253304`}, { 1.9643057434934106`, 0.2640026580369217}, {1.9649921707182232`, 0.26151928554495507`}, {1.965678597943036, 0.2590092800506333}, { 1.9663307038066082`, 0.2565994378075238}, {1.9670514523926617`, 0.2539062570130525}, {1.9677378796174745`, 0.2513115515729616}, { 1.9684586282035277`, 0.2485548578195671}, {1.9691107340670997`, 0.2460312741692633}, {1.969762839930672, 0.24347888353862157`}}], Line[{{1.988443956853951, 0.1515047234554082}, { 1.9890857663091506`, 0.14726804518225706`}, {1.9897035508114822`, 0.14306783225577033`}, {1.990389978036295, 0.13824699826000694`}, {1.9910764052611079`, 0.13324716985524823`}, {1.9917628324859205`, 0.1280473681268971}, {1.9923806169882519`, 0.12317577590392016`}, {1.9931356869355459`, 0.11694049530170245`}, {1.9937534714378775`, 0.11157519041485597`}, {1.9945085413851715`, 0.10463841540932989`}, {1.9951949686099844`, 0.0979003193138736}, {1.9958127531123158`, 0.09140696436683436}}], Line[{{1.9993478533201015`, 0.03610891332168296}, { 1.9999999591836735`, 0.0002856604710383269}}]}, "Charting`Private`Tag$7040#1"]}}, {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw12nk01N//B3BSEkWWhJQk2oRSKS1PRVSkFKH6qJAUWiytpE2hpEVSkSxF ZN8iIYkoayHMZph5t2BGYcY6v/v94/cP53Gc836/772v+7qv1z00nU/tOTpJ TEysivz43+8dR382lv06uqlW1fBKQOFKTDZVO81UNYPZuY15O/viYBgbFZ2j aovcVhO3a/tfo1t94dVzOk6YZfJpUbtMBixrW7NjVF2xg7V+KvUnCwvvzH0p 0jiO85LNA8FSuRjb4fL4iM5JSJq/Z0r158HeVfD+gaovMpfNzU3aW4gKU7WC j9FnMSW76XFWRxEMtDZmDmhcQHlyoLm5dTGk2Nfi9+lcRtS1h5a/JkpA179l GqZ6A9GltkmZnR8QEatSpn0gCC4OvO8vvcqxQy5lQ0n0Tex1zbrnN1iO/L6v q3kaIcj0G8z9N/wRd9MUFtvo3IXTj2rnK/RP2Do3MfHXsXDYrXrTU7qrEpcr n878YHsPKKFVJ5dWYtUa3TDHyPuonHTIdySqCi9m7boZqhqB2sjkv7GrqnGp 9nHFvqIIOGjtmmn+uBr7gliTtA48gofgWKeTsBrTB88EvouOhH1NWumy/Bqc /x5xvkfjCfTco+trNL/C5mH7CWud55hcurFh+cc66FpqvVareg7W2hZTMcV6 SEl4UtxjsXgVQV84cKQehwonskptXyCvsTrbcbwes5bc03OIjMPLtsuKhx41 4KpUzqIQ1UQs4GfuVMtuxFKL+8HZpxPBurF+yaLWRjQFnfrVUZWIwJ+0g/TR RiyU0E3VO/sS5QbqrJ1mTagcT9T73vQKDxWrw30amzD9X+RqjTuvsWKwv2AD 4xui6BdN8ybSoR1tce5RTTM2qzsmMuwyoGYoHH9BNeP3fqMpUmkZmP2k3D1g cgvm9VxwSVueiS1+siWpG1tw6vgabTFaJpp863T701qg4JqR/HJtNiKWHy1N utkKB8e4DH5/LmLpXUkO6m3gddhKx6vlIWzibOH4yjbcdJI6utc0DwcmzUu6 tb0NOS6n1PIj8nA16esKy7NtkD25MeiSUT4mdNwuRdW14dO1tv2SAQUI/OxS dP1iO1a+kZdUlyrCE+mNN3Q+dEBGdPWgxbxS3E9NbTqkyEDUcXsnXfNSpGgP H760kIGF33UPy58sxYOEU9dvrWZg0+tWl473pbDcm/vrjD0Dha8j8wr0ynDD 6krP/acM9O7tKbasK4NO1XknxXlM2CU//uIzoxx/z3s5O85gQdum7+fH2xUo OeL4bIWABbVAC+NjcRVYHr7gScEECzPTXtyWLqjALvkIXSPJToxI7dWzYVfg mI//Kq1ZnWgoK/BhrP2EwIVzEzNWduKiwdUJIecTYqhNz194dqJOTklJz6QK IoXVMkq0TpyrW4eogWp0h1cORaSwIauXx6mWqkEiNdZvmclGYpjBnVH1Grye 5Jk4kcdGo9WiNqetNSj7prXR/gMby74o+WhH1mDxyOvY5lY2mFW8V9lGXzD9 grGG9OQuWHx4KVt78SucOqbtd3fswuxceYa4eD08fUWZUcIuHLwzatutXA/p vwbvisa7EO/K+VKpW486rffhPyZ1Q3dWYeFth3qYZ3+PnzqjG1vOHn40K7Me ZQOWxYaa3VgTbf8qQr8Bf1WiJldu68YRp1f/JTMa4KTvrtod0Y18tunX+g1N UEzWMr6iyUHLtqv9YRZNMFJMaH+ozcFQeomy1Z4m+CUE8hOWcGB0ad2Rz8ea sLLt5LXCFRy8VdQfKnvQBMuhbceLNnNQaKY2P/tnE94ll4UoHeGg+BXfJyLi G7RCHqUbxnBAm673ZE/sN/jsiSv48YKDMW+Pkpkp33A93uTIxUQONoIrFVb6 DWuWdT/NSeWgpLUjJuj3N7Qca64aL+SgVKqq6qzJdyzoyxH728xB+YmYOY49 36G14p3+ERkucn55eDgNfUd7wlGWqywXie7G71zEmvGQN7/kqDwXQW6t+08q NaOu65nEodlcbHOWf3p9QzOqFSbX6GtxUe8YpJJ+pxmLfOzbdxhzQdvmNUti eQsCsp66erhxUVu1/qiUUQvyXwqGZh3nosRcOm/G5hY8URuqfu/BRaxZkq2K XQvs33MMp5zhwtmk8+HygBa8jEvU9rnExU8jOwWH2hYUrCvq+RLOxaDORrk0 r1asTTPV8s3nYhN7S1Xo+VaorEr7OvyWi5sx2wLdr7eiuNvZ0v8dF8pKtjyt J62ojLtQc66MizXiHvVPK1pRr+jWsa2Gi/MdUeHBc37groVNwl46F2PhA3Ku 1T9wrHbRLllxCmaWI1Wbv//AgJ/HIX0JCnckxa5oMH/ggeSc3TunUJgbIMNv H/gBP8Oib4HTKGw6saDBZn4blNl3TpTKUwg0230P59pIHByVfK1JYdJw6sw5 2u1gZg4sWwQKc2q3/IN+O+ytPy+qMqGwKq6t2XVdO9KZFqdct1A4un3qs/Sd 7Tg/M6QzciuFz0+ctbecbcfjG/dsOywphBurGh+vasdvyjuAbU8hWTZT/W5j O/xCd6+zd6RQxjYXZXe0ozjZZXP1fgp/Q30rxnjt8KcvW/PyPwr7Ouqt76l0 QBA/J3uDCwV1/5suBcc74CIG3i8vCqt3zzWn+XTAP6Tc0/AUBeuFuYvFL3cg 2VJ1zcXTZHxfO3t3POjA27nT3oi8KbDVN55nFHVg5MYmrd/nKLx+/+/OlOk0 eA/F6m28SmGN6HD+3nQa1tNmy3Tcp2C1s+za1rc0NF86qlL9gILLM41dRuU0 iNr3hOQ+pHDPiEGptdDwZtL5R9cfUfh16oAqe5wG/6acPZOeUIhm2fmf3knH 6qsjG67FUsjWy9vmbE/HyCfPM+YvyHz5K82yPUJH4T26pFQchUGVb2lGfnRs DB7dez2ejMdmN3Mimg7PA1/O7H9JQbx8x5awHjoqkiruhqZQUJmZIhs4RMe8 PK93C1Mp6DlN6zgtxoAMo2FrMfH+kSofWyUGrL2Y3l1vKOSu3PpyzgYGtLOy FylkUKi5knhmhjkD4Hxa/5iYVSexSbSLgQq9t6mqmRRmeJS3sF0YWNC0+bly FgW3BEil3GYgwVO8ip9Nwb//+fdnjxgo2bok53AOhYeYeBEWy8D6whXDtcRl HcXrzuSQ71HsuP8il0LLEnVJl/cMlE4Mdk3Jo9Bz7lKTbRUD9+5z7roTqyoZ e6ztYODsrBV92vkUDJyfGC3lkO8XToq/QmyeKZRQ5zFQduxR2g9ib6uCaNEk JuY7smuuFFD4emNVXeVSJnpMrJWz3lIwlvsy6f5qJjJVTlmMESc/OWJ0wISJ jZkKdmaFFK6n333Bs2PiZ6rb5C/E/LXazYWHmej9YP9yWhEFp4/vpt3wYCJ5 wkpzK7Hxj5/eKleZWBNQkpxNnOwcmMS+zcTta2dzuomVe2fR3kQy0bA25bHi Owo3zr2ZeS6OiSmTh2xB3C9uunXzGyYOZQ/+PkbsdKftgkwBE5wAM8cw4q/K p9ObPzAxVzYgNoPYOE6yK/YrEykX1r2vI05eFjP7RCsTfy0Us38TK+cbWq1i M/HNOyFAopi8z6TmykQPE5vdr2moEv+tOZz3WcDEzOnbHi8jzkwZ9d0uzsKV wtvdxsQUzzw8XZKFeVu7JS2I561+8FpxOgv2E9T4LmLbi/SP5+VZMMvSrbYj vl26mEFXZsE92cLdgbh8sq9wizoLnum17fbEwu2lCsmaLDDl9s63JdYPl14+ YxELomiPtTuJ3b7bWXjrsnArNWWBKXGMatyR1hUseKgkMFYTf3fqubTBiIXC 7ZSHNrFMolFk3AYWHAym1cgTb/l1LVNyCws9258KR8j4L+jV1XhYsBAXv0zA Is70UeU0WLEg3brz00di6q2raPUeFiYp33dOIJ43kaH6zJ6FGwuC6gKJ7UxH DcX+Y+GJXaGUI/GdYHPro84sGL4onqlPPKxAv6bvxcLfLSeCG8n6Gjgsjonw ZoEXZCCIIXaL8SkYPseCbNH4imPE3xdJ93y8xsLjDNY0PoknGS87ySXBLAy7 y73KIN6S/WL+3TAyf1PPTfckztxgZOcQxYKOhsaaDhKf1NVrp97HsHCJ7icM I55XVRuyIIE8X27l9Y3Ed2xcS3rSWMj5I8F/QOL9Y2TGD5scFiJPLG9cSzzS MfI3/y2xVPf5DrI/3N3uL7r6kYX89XPVZhPHptI2cz+T+TiXpZBJ9lsLf9FB yzry/AVD9VuJzS6V3JvVxoLc0azIY2S/atz7M/y6j4Wzd6osbpD9XnIk8HX2 Pxa+pOxTnE7sZKjo+E7IQn+Mo8x9kh+iW4zffp3UidJrBoEPSP5QmRt6lqfc ieKDezx80ikU9M3VEc7phO3irPDuNJLfy7KaxTQ70SjmSd9D/MilbZXCsk6I m7r/0yH5SiFl8b9V6MSF0KiJN68pZF0qjt9o1gnrukHnqcS7d+7eY769ExoP H/Q6JZPzhn8uy35vJx7njPpMSaIw3ajq1MVjnXB6mmBskEhhSsXRntLwTqx1 UnIYi6GQ+Gj42eeITiTrZfUvJjY7FmbZ+KQTdo9tU/dEU7gmnZfCTuiEvLFW QMxTChO7Jx+f8rYTNS8U7s18TOKdHs/ZwerE1XU75nqGU2Td1zzay+lEPHNl yIm75Dy5WmN28HcnbF5JyLmFUfBb+DfBa6ATprU0N9vbZH+e2Ox8T4qNBXuG NsjeovBHwGQ0G7Bh/mZUfyiAQv6x8PIda9gwPBTm/MafwpXWTa9K17Nx/tV6 nUOXyP4viPF6bc7G7DnzDhWdJ/F19sCY/0E2yn08Qi18KDwdaFFdGMzGipgc 1+Jj5Lx2vTkeFcbG4zP/fNa7kXj+vrpzxkM2xuUdZxS4UqjMiUgWxLBxr5NP SzhC8pX3HqMvOWwcGJzo2nuAwrb+WltvJhsnvrSum2FNQfFIwFqqm43wkN53 tlYUGA266gd/s1HXPvYhagcF38zbXVsH2WA9jnVQtiDxd2q7t6pMFzq32r8i 0Y6h3orwsjVd+HrC7yLbgKzH73c1sne7sPpplJjRTAonH+/SOvGwC1smHw9T kaVgZNZ16VNUF3y9pfOHZMj5FSO93D+hC0VZs9qTp5Lv3e0Y/uttF7wkxI53 T5D6q2Bob0VXFwQ2zkFve7hou76CfmFdNzQ8XFZ9/8RFvMGn1c2bujEUky+9 /SMXnnSHuwZm3fAtVLxUROoxMaMroKy7seC2ydKHpF7T+V0XZ+vaDS+VTZ/m ZHHhu9vTTT+8G6La6umhz7iQnZvE6+7uxq/5Vm40Ly5M9l2nd/3qhluZmJYK qSe9ww99Yfd1Y0l2Wf9udy5axFWSWMJuuKz4UlnozMVzbrATbToH99N9HN3t udDLPFH7bRUH/Wua/NeZcLHTVC+1/AaHrOPFxRlyXNw5nuf2YiEX5ZER9jNe cfDbJC1YZin57hGJWPN4DixUXqac1edi7mXNFP/nHEyqiuizInWw99l98sxI Di4s9D07vIs8x+OMdcAtDtyYK2/uIXVt/Lk3PfPdOdhsl/lychMXwy6TTeQX kf7BJLXbPZCC/PrLg3LRZJ5WVuQqf/yJ+otV670CusBMr7jdqPkbKzU/H/BY zsboie/Pllz8A8u/Lqkfu1iwXfPffb3APyh7rX5zPpOFN+Lcm4Y3/kAwL2lX YDsLTlGCMxvv/sFGC3bdlkYWPnxS22YT/wfhZyIPskvIuTH/yMD5mj+4xrLM C33KgmJLr9VntR7cdfo38HYvOYfizm6p1ejBfrvQTS67WKjwFBk1LezBb4mB CzMtSR6TkNei6fXASWwu5UPOkTaDVcO8LT348E9w5RA5h2JvX3w526MH/fGH OQ1yLCzbPHXC7V0POsaWdKY+J3VESuqiH2U9CKiL/bCKnPOrlHbbbK/swfcb +4WVYUxsoKISlzX24EGg7LupAUxYhy215HN7UJXy5PvYASa823ZGXVDoxdXd 01ZUzWGi8EzEyjvHe6FWOqfBPYH00x1rD46f7IXS1ScRptEMlJvRg0769mLb +fBlS0mdVTNbp213YC/2rtNQn3OLAdr7gsBZj3qxKLRK/q4HA2LSHV+fl/Ui rnCl3ec1DFjEax7Lmt2Htpi71tNa6VgVJatTqd6HraEhjxiNdMy/O9rdrtmH gIubZ5R9JXXphWbnybp9sDY2/JBUTkeaTYiTvUkfvk48eSSTQYeieL/duHsf TmasO6kfSoeYgK6kcLIP0xMYp2qD6Ojpqfmm49OHWU/OHjp/lY7KH4k2uwP6 YP+fxKrB83RcyHTYmXC/Dx4Py2i33elgHioz217UB4327DlrdtDx1S5Nwqm0 D2IrNH8kmdPx1vJpuXdFH6j+7gWLTOl4YORrEl3XhyelG25Zb6Bjq9ziDTx2 H8Ks8i5v1qdj5ZRZoxI/+8D9ZBQ/X5fUxaPiRSq9ffi2yj5qxhI6hNwOoy2C PvhsnKUur0VHakm44SMZHpZtSrMvnU1HVK7/39czefh9cgE1YxYdN1KOZ5XM 4uGb6tSgEwp0OEWa6v/UILb3nmo9gw75k4Kl61fx8CfVjlEiQceES/evXet4 CFz54cllcTp+OzYmu27iwdQgMdJKREPF1lSdu9t4COtJ8lAcpeHc3EMLOg/y cGgkWG3nPxqcdxvsox3hYTur8FhwPw3W18VDW914WDo5614jjwadXwn9tad5 +OipdSushwYFdT/taj8eRIOsg2J/aBi3NnesuMhD1exf867+ouF77s+yohs8 9J5hnn3DpaGMKhzICyHff31Y0Z5DQ6ra7cVZd3mgvc1Lleum4dqV5feSonjw 9PndmtJJw8mciY/xMTxUMP28w1g0OHLrBTHxPNxUq1a8zKTBwMr7UMQbHlT+ HfMLodOgHmj6MDyLh9mHUo0TaTRMzVaqCs3nIU711czaDhr+dnNGgt7xMDH3 0rAEMWN2gd7VMh72lS4RbGunoWZHsLP/Jx52x4TJRLfRkBfgGHmuhrzvidPa 8R80vMhcWuNdz0NtrUGgJ/GdrtFxr+9kfq77dv5qpeG8cu2K42085Cw5e9iP 2GX786OuDB60bZzGZYmt/U89OdTFw7b4FYX5pG8zzjCp3f+TB722hghPYh22 vPi+Xh4MyoT3DIjlZ3WtsvnLQ+GyLemTiMcsct2tBDxwhjR72c00/LwYFG0x xkOH2K+djcS/9y1zjxPjQ2lZRUMt8WG+4iQNCT6sHYr9fhC3hIw9i57Ch6Nn /oZ+Ykstzmo1KT7eW/loq5DnlxXX1j+W5pP+PFx/J/GaffnHZ83gY7Na0P57 /+szec8lHsrx4f8n6WUn8YKQWzEzFfiQd1gyczMZX9SC00Z3lfgQeSs/SSeW LXZolJnNh/tRBywl83XDbrNHiCofmb654rnEw31LpkxV5yN82leGJZnvk8EK sTfm8fG9QL25n7hbc3TtJE0++szFul6S9Wmw/eo5rs0H6/CqTWvJ+pr35Upe WszHzuagW8pk/YtvxbwQLuXjqJInaxKDhqSik9//6fMBiTMFU0j8qNvanzyz ko+CAR8DdRJfD3ohxVvFh5XN93QTNg2X58tv+L2Oj2EffkYOiceBwuHmYxv4 2J7gpzuJxO+JvexTnE182Bj+iXOiaLC7mZPAMuUjgFZwfPNvGnR77GRad/JR ilcS6Xwa3tpalYbu5kP/ebb9g780mL7f4rNpLx/n7skIbw7QsP+ufsdLBz74 46sk44Q0hBhMS/V14eN3g1TKY7J/lZ6InBa78WFn4pEzTvb3C/EhBZo7Hw7X fZt9JEl+amJfND3JB/Vjhfk9GTq4vsU7FC7woVu6TSJEmQ5vevbEp0t8bLRX GTupSsf41tfZFy7zERRuX+eqTp4/O1Kt8zofbWn6tMAFdJgWnvqdcZePlYPd z71JPnsxviB0ZyIfEjpJm7ZY0aHrprpJPImPtWI2BzR301FQJ/c39zWZ37qB LDlbOupixxzVM/i4Jgxnqh4k79vcsuRPIR/TPGYNsD3p2H8zpDq4no+De2o3 b7xPvrcvMGBDEx/CBydspSPpOGN/dgX/Ox+e73t/cJ7SEbzY5Yl9Ox9yvkFi nxPpyK/ZcFyHw0fXKTcTo0JyHsjxpSpG+Ijd5l2Z201H0/vQW9vH+egvrM4T +03ytae2ZL2Ij9W3xjwdeHQo1OyXaJ/cj59UkGjpCHHQp3GebD9ix4y2HZjJ wMzRp3/naPUjwz6okLaJgenUVpqPZT+a08Nuiycy8PURa//wzn74xbRIvElh 4I7ZpbbLu/uhmW5y7XAWAzLxmS0hdv04V1ZiS5UwIP3fnMbYQ/1QWGeWeKKd Aalv/E9ffPqxeXLiEWNFJiaXPsvQiu6HLc09Lpz08e0bzLYxn/fjaZbXjskR TGQU9bCexvVDyqzN5Vo0E/vzNyooJPVj0b51EU/TmMhKY/qKZfejMac+dm0D E07RWsb0qn4UyX+5cEeGhbcXUisi//XDSXx4oYcd6XNXvWubZvkXIU4Gro1/ WUjd7vyiZOgv8hd71+7awMbgH7WZ3Mh/CL/AGbE/1YW8vRYSEWYDMN3x8cKK hG4EW74NUrcYQEXT8iluSd04aLpE6uX2AfBKR1dEpXZjkqHMjHzrAfwn9/Ho YE43rBXqlX84DODCN6f+BxXd+Nmwb6m61wAeHbl5y4HTDTVrN5vERwPYU91p P7GQg8BtQbG53AG8fXbqnWU0B01O7gcNfg3g4vbYl5WxHCz0s1R982cA5TPT fmxK4KAmTv5hAn8AnyQZSotSOFAajbn5YGQAX57VVrYUcJCclu91WnYQDtJL FmU3cdCg8HO97ppBBD+cZrVHkosFS74Ik9YOwumxjrvvNC78kJ6ntX4QNTqC jIfTuVDz9NWfYzKIhD39pdUKXLh+EtOS3jEIlYdv6hQ1uBCeU5X++d8gWo6a qWsYcaFJ3/EjIWgQgl9vCmSPchFavj7DLngQZk/+BMqTevtvku7NqbcHEWPW ypxJ6vFyb9lVHvcG0Zkw5Pq/+11Xqabwlc8GsehUy/lP/lwkGzpafMgcxL/B FL+4h6QeDz2Wz+gYhFjnWEtlCReRpxzC7jEGcc1wneDABy5Etttdt3QOQm/6 wKte0k80aCxTeMUdxLBWZK5kNRdn8vq8vPoHsfkRdVPuGxe5LD/tMckhGLXq TfLncmFsdCNCdeUQju0telwmTfpzZ9U1MauGoGukSi+fTsHnbnrrfKMhpDxw 1S4n/dAbzg+1xRuG8HrHntICBQrzIpbHrTEfgubsGvVANQqT+lvS9u4fwmpH hcTLSyjSty+pCrs2hK7Qj1ZbtlJwbylxlw8awkB8iSXHnMLkSbbSj24NgTnD yjZoG4VNjpd3Rt8ZwgebldeLLSlkTv32LSVyCO+n/Dw0dQ+FCFd/VlXKEFTm 7bCTc6JwcF79sPg38veto3a/Sf8pq+qd9655CIVBClt3+FH4oDjrjN+PIezN eVTx6iwFnWkHfv6kD6G4P/Gs3QUKvH/clvqfQ+iM8sgJuUz67+qJnJiJIRhU Xx/cGUxhVUXcKXtxAT6rP9Y8F0I6yBKzZfKTBQhzdOdEh1Kwyg2NvzFNgGO9 i9cw7lCYFat830NJgC3aftPW3qeQ7Kt3ct1SAZ6Y/WBve0Jh/6nGJf90BZCR N65YT/r7GSd8OW/0BVgvlN267BkF70NFB+evFiCqfOoisRgK63eYW041EYD+ YvDC1RcU+sx+SX7YIsAfiwxXxzgKL3Cn/OJWAR5If/m7PJ7M5+qmdX07BHA/ u2D0awKFOg2nxc12AgQdWVTDJh3wFTXx7rsOAgTnVtFjkygYzkqM3XZAgP47 JVGOyRSipH8rFx8W4MZ/KZIfX1NwHvSbkuAhgDJvT4PXGwpKfJUPB08KoNUc qDszjULV73f+ymcEOOEkMMwg1mWJD4ScFaByYal5VzqFwZow9umrAjB/ng/R yqJAk2l2H7suwKFJ607EE5dbqfNu3RSAsYXhNi+bwr26lNHntwV4X3gqb0YO haVNVUq1jwT4MvdLdnUuhZmKcs8cogSYTTUGrMijINi7T7P7KRnPyM9jkcQV zd3LR2MFELi1P7XPp+DUJm6xJIWs166ymwUFFMzUttfmvhHAM9rETuothWUH 7u01yRBgymf+1n3EQtq8w/a5Aog7e5K+ngJjrhuXnS/AKunxn3qFFD45pXme LBTgufg2tzPED1jrLwSVCFB+J6K2l/i85nXRzA8C0sM7vl1UROGQc01Q9EcB 5IucPjsRmyfIT19cKcCHvCkTD4h1ux0e5HwW4BIr3bGCWEH7hQq+CGB9t6jj L/HwUep5Ta0AjlXBN+a9o1BJ+aV2Ngmw8dwfSy/iN4vfr/BqFuCe3yaPe8QP j09+K2wVADKN2ZnEF1MsN91oJ+PJENf6333u4T8PKuToAoxf0yv+SWyu277j GVMAt715l8WKKSz30mzUYQsw/dG/E7OIldLd7bO7yXy6mF9dRDzSl0HfSJHx XJMuX0PM0he4VP8SIN8uevn/7lerTm/6bdtD1venfYUVcXpW0GlWnwA7OVE3 9xJH/P065NEvwJyoIt//3d9eMlQKEPwTIODP7PD/3e86+x6QuD4kQPsxmZZ9 xNvy4kNkhwWYtpK3fc//7neHfsk9HRWgb9rcPzuIlY1WRGpPCLBye1+hCfHY ufPqWWJCCDrf5RsSd70tjd8gIcTd/xidWsQ1w5JLPk8RYlFH2vr/3e9mGltn 7JUS4o7stYpRMh+PLz1azZQWgr4p27+L+HIx7d2JGUJYbX3k+pnYdVxry5Cc EI23r/qnEO/Y5PH5qoIQ4tNrK0KIVwRmW8+YJUTKztqNbsQqZcPfo2YLUXa0 lfrfffyE2OYDC9WEEA3gozJx9+bgzgx1Iap1DjT8Juv95Vr9sfUaQtAy/OWK iaMmO/nuWSjEyy0a2vuIJ1xmr27UEaI3UDB7PrHrx4bBXUuE2IB+R4rEn8E1 03M79YQocr701Ys4snPM6KuBEO3ZCeO6xGMm+cIdhkJ82D838H/x/Vm0+OK2 tUIcO63vu59Y7xDbuMpYiKNyB3/KEkeUPBvdulGIaLdJ6WVk/xwOkA0w3SIE x4Gpp04sGPkXuMmKfE9ErmwO2X8H96eZvLcWYubjO8p7iMsL3cQ32Aix9PVs 7z6yf++eb7u2bp8QErL7tTWIdYZKglYdFmLObOH1w2T/37E7b57jLIS9+3eD 3yQ//M1dMXXlUSFyN/gbniEu8UkM1j8hxP5zBuvPZVLY1x9ye6mvEN+C1A64 kHxTvNvU6vVZIQalzd+3kny0IHNs+uILQrimrTy3nbjv5Km72peFMLTDv4Uk nwX12N6fHyyEe98jhWKS73IpjcfK0UIkGVRoeCRSULNos3/0XIjLM3+r5JF8 euXVAxWlOCHGV1h5jZF8a3V0ylP5V0I8C7q7+DrJx93s39HTM4Xo+ezed/o5 BUVGXvykCjIftzeyah+T8U8PCCioFOKz866b7ZEUpNebOXhWk/c/9FfsfkTO z6imGS11Qpw9+q+r9yEZvw3v/Os2ISqZL51p4RQaPi3etZtH5u/29YmFt8j7 B3hLpvwl6zdDTFfsJlnPBQWTiwaEMJbYbfrjBoXSwK1FWiNCSGsN6gdeI/tx nbO2YPIwuKOcyckBZL7Tno3GqA1j3eGL+UfJ+SlFc27ZM3cYza/Mw+W8KdyQ Xpo1df4w7ig+3pt/muzXY2/dzmgP41SUdOyIF4UTms2NZgbDcNn8a4uTO9mv j2ST/2wdhlq94ef7BylMCbhqu+7MMJQct7S93kLmt79nuNRnGLnh01JlN5P4 dXOINT87jPG8kdrTIPl7l/7vvZeGIbtOZeryDeT9C+iBJ4OGIeFtZBa0mpxv n9emJjwZxiAzqCV3EZkvRb64bPkwdI0PhMqR+iX71oGkiIph+A2aWs+TIvlk rNJqTtUw6JftDi2VJPHIiXm8+Osw5jvouhtPIuf9W8vlpi3DcKeNyRqPcCHu lORw/vcwDo3OuVLwiwux104ZbIURHF9SvOx1JReVPa0nY2eN4Eun6gKDCi7u GNjoHVQZQc50664cUo/Nfmua1jx3BKtnBFRkFZP6rWpx6ufFIzB+7zF4M5uL g5y/r9I3jSDF3ScpMoaLQs1bzy+eGIFusGa0BakHLx8VczLyGkGcssqA20ku zF5fmDtwagT5l0OnXCf1Y4OBZ7SX3wg+vjDak0XqzZ+weXr4ygig8zCQ68iF stOcSPPIEVR0h4Vmb+bC+2lGmEL5CMzHfv37IstFwdjTW+UVI5h8+oLXPRku xpxuXvWuGsFf+32vbKS4uKX1n1/T1xFcH3PfUyPORfQb6f8etI7g7uCtixED HHwqOaqr0DuCNX1/jG63caDSNeeLvMooDm4qsRt9wcH7ZcFS8idHoaNkYvJS m4M132fXPjg9iv0z15i2anKQ6Z90X8lnFAbMcT3JeRzE11aqqZwfxcYK3rv9 yhwEn5qyXOPaKIo/bb/FkORgT841m+WRo7Dc3FK0i+oGZRzwdHvJKF7MlvxQ 97Ib8ju8da/JjsFDbu9sSqUbLz7IyRjLj8HQipfQpdgNg3Vpv/oVx0Cr01Si yZL+ZPHPV0dUx2CmWB9RNrkboZJOmpsXjuF54ruv9vwuTP64XVnMeAxh7MqM 4souDK3XFLt8dAxbt/fWWZ7uAm15w7cLxWPQOByV9imPjdg/8gESpWPw2p4u JpPJhvPrvTphH8ZwOUZeZJnCxq+FredfVI6h4/IiXtlzNobmMOZWNYxh4fHU VWdvsSEv3XNMiTOGOUe8RqUd2DDnTh1LnzEOi9dZnLLBTmQ+x8Jup3F4eDbJ Oy7oxL+L/6YeOTKOJWtUC0LmdGKNfdIfuss4cj69k8pT6sQ7ObmcVvdxxAWX R41KdqLyCmPzF+9xNBy1LrH4w0KHc8Ch7JvjOHs2NLAlmwXJRe+eXkkfxys1 7wMxG1nYLnHq8njmOJgx38OU17Bwh7nA+WLOOMyXnw4J0WNBPip0ie/bcbiN fSg6qMGC+rT9b4+Vj8N33sdZBWIsrPwjbLZuGUdE+oLCYzeY+C9jjfzciXEc l4KF4hUG8vcLZRvEJlA5/K+U68WArGTR9OsSE6Q/n5eYfICBsoMbpX5JTaBX Ss9QsIaBBdJmolzFCSywUfv3rocOrqtNr9WSCexNdX1XaUvHSTXPan/bCUiK LZhBn0VD5aflVfr2EwhdHSqzTpwGjTO8CrbjBPIkb8Zd7ulAQ5V32bZDE1BY WFz/qbwDK/0uFCidmMCod0fyppMdENTffPkmcAJvPprPTi1rx5WguKu0lAnM yLocUWbThhnnpu44kjaBE44bjp5f34an7l4K3IwJbFq+OXuWdhtyLNcl8HIn EKK/L1kk+AGufGPFpNIJtLyvkwmJ/gHL52JSS75NwHCVq8pyViuUCw7d9Rud ALWi4tC6XS1ISP60b2R8AmIPDPuGV7XA4OkyjUAxEX6IuuoeqrVge4AgI3iK CMruZf/ZcJrhbxre+ExOhAPHlb90nW8Gu75EqVxLhPehG/PaHn9H2s+5z2St RKi5d+Ld84wmBMcEHWZYiyDtKt964HYTXPf0aqfbiBDqtCup0q0J6sXFmTvt Rfj6MyE5Rr0JoeEHKu84i/CWZfmf8o1GuK950i99QQSW432RpEkDzP6IFbRf EuGh3tUH12c1QOOFu3/KZRHsLj+lT26uR8u0tVN33BAh8bvD817temylt6iH hIsgI7Hx5tmiWiy4obRt6isR1mo4PTiSWIOJtf4zWpPJ+5V3a0Qa16Ctt6vp VaoIq0NkXMfqqnHPPuc/8ywRaKtbX4v9/QzR0j0+QcUiaD04098xtwrtzMK1 dqUipBTHST2Lr0R+hObEwnIRnKSU+bcXVuLkBD+4okoE9R8WjHUan0BrDH8u 8U0ENUP+m8Kf5Xh7U+DyrVmEBc/2BU7fXY6I9YeWJPwQQbPT6rBS9gdYvtTL 3cIQIWDanbAOlzLo7I+8oNApQmz09jxd11JMkpvYxO4SIWs4vaKB9x5F52ur r/4SYb7subePqosQuXx1uE2PCMvmJd8RyRXiDDvaVpMnQrx/hr7p6gJYPZ6s 1t9P/i4s25VpkIfFVp7MsgERGuIbcvoHsjFZ/HviPYEIB8/RciI9MsHKW3/i 8IgI664MniprTEHxiQR9g3ERQnyDmZWCeDzWkBkUiUT4//8v/j/Bfe3c "]]}, "Charting`Private`Tag$7109#1"]}}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> Rational[1, 3], Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"\!\(\*SubscriptBox[\(E\), \(c\)]\)", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {0., 0.753828232188389}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.7713451423582706`*^9, 3.771345243039317*^9}, { 3.7713452873125143`*^9, 3.7713453424660683`*^9}, {3.77134599352704*^9, 3.771346000363168*^9}, 3.771346059117455*^9, 3.7713461185991697`*^9, { 3.771346198939508*^9, 3.77134621521343*^9}, {3.771565224908457*^9, 3.771565248550221*^9}, {3.771565413840457*^9, 3.771565487224943*^9}}, CellLabel->"Out[26]=",ExpressionUUID->"63ea1fe0-760e-4fd3-91c9-fe0edac5b441"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"gmin", "[", RowBox[{"t", ",", "U", ",", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SubscriptBox["n", "1"]}], ")"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "2", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", RowBox[{"1", "/", "3"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{ RowBox[{"{", RowBox[{"\"\\"", ",", "\"\\"", ",", "\"\\""}], "}"}], ",", RowBox[{"{", RowBox[{"Right", ",", "Bottom"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", FractionBox["1", "2"]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ UnderoverscriptBox["\[Sum]", RowBox[{"k", "=", "0"}], "8"], RowBox[{ RowBox[{"Coef", "\[LeftDoubleBracket]", RowBox[{"k", "+", "1"}], "\[RightDoubleBracket]"}], FractionBox[ SuperscriptBox["u", "k"], RowBox[{"k", "!"}]]}]}], "/.", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "-", SubscriptBox["n", "1"]}]}]}], "/.", RowBox[{"u", "\[Rule]", FractionBox["U", RowBox[{"2", "t"}]]}]}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"{", "2", "}"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["n", "1"], ",", "0", ",", "2"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{ "\"\<\!\(\*SubscriptBox[\(n\), \(1\)]\)\>\"", ",", "\"\<\!\(\*SubscriptBox[\(E\), \(c\)]\)\>\""}], "}"}]}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{{3.7715652819263077`*^9, 3.771565286614294*^9}}, CellLabel->"In[16]:=",ExpressionUUID->"4ecc5377-a364-4161-8180-3b280a2dd9f1"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV2Hk8VF0YB3BLyRYRiZRKm0K0aFM/oRRJlvYiUtKikpRKUmhDu2QLSdkJ CRXZ10T2nRkzc4UZy4yd97z/8Pl+5s7cc895znOe5y6xuWx2RoCPj+8b+fP/ /8CouVJMeT6wWnQqaOL3MENP4UqbvD5W2GbsOtAXhvXv/YOS5S0QHsToe3Es Clc0JM18Ik5AKCfqab9uPDz1bEpeNtqi1fmI75qdX7DMe+HHaSV7KCbOli8Q TsGE4em31iscIP5a0O90fyqeFrz8t9n5KmRvSl+oC0rDYdvhHy/lnTA/kXfE xCIdeXoKablBzii5yvz1qDkDGsrbE4eUXKAWtynFzOQ7ggRORS3/cBth8zyH KhJ+IEp5Z7Ga0F18rzztMMT+Ccstdk/OP7wHq2LdZLut2QhdOzPtSqQ7zp/e OeNEXjZWZHMLhuruY6qm5u5Zs19oWftQz0feA2e37POYQ/uF6qVvZlcreOJQ /zYpD/McGEpGa/8M8oKB3DWz9cM54HPbln6o9SHSdUL+nb2di3lxEpLzdR7j rfOLo8XCebhoafnlofUTPDmsOe7tkoelv9nqiz88hbfVloTxwTx8tmzfEVHt jaGZjdbxZ/LhGye9ynSFL/pUKj+8as/HroUREZTdMwzIZFrKmBfgbkHAnF8W zzG55BhDJ7cAR+/S9vtwn6PDJ+PlVs1CbNBS9Tnq9wLBgwMPFwcXQrLPqXT5 ppfY+NJQQ2JWERQ8LZ2FWC/BF75v8oJLEfJPCu35efMVbO/4fj1TU4Rztjoq UZqv0Ra+KKtvTzFul7/NO5TxGowRIStuUDEOebYLKB9/g6H4YfXTU8XQ3K6y kz3+BuvSproOWZZAnHvVLTPID9UZMnvav5eAGZvx4+H2t3jREbFdQqEUx6rN 11ky3kLk2lSR661SBCvu27rYzR++e5a+9flTijn6XfG8le8wJCYdcE69DObe LV+/Zb9DR9j29M33y6Cuv4LrYR2A4bDBqmMNZRCZcFhvKhCI7c3Hq+zWloOe nHZ14YdARK+6ftveoxxZF/gSKb0gOOx8d+tcfTnWvXq3LLsnCFePi97zWfsb zk0vVO97BiOj26bOzfU3TF81nt+/IgQVA4bxn37/hqqRcpRCYQgmBOw5/xZV QFjwIpNh9x4rX4YZmDtUwCp9KinLIhQ+aV4BZjP/QFblufoRvzDkWsi5jwf9 gbtw8srH8hGwTgq+VZpZidUGLx59uRKB8O77F5d1VKLK8zLVVBiBeIFdISuF qrBMUDVG3fkj1m92KdtgUoWCyQj16qpICKyLsgxpqYL4oN9GJe8owLunT673 L/xbbumlTpF917jkiX1bDXYqHo1oPZgA0xKRicaJGjREX088nZQAzbg+m1cL alFSJpo8XyARD4xtjq3fVItFPS6n49QSob3+SPkCi1pcttdazteciMuHNZ8L F9RC2jbh88fNX+ATE1mlHl6HI0fDEjj9KTgcGbJxOxrAbrIQDVdIhabLed2D hxrgZSl8xlwvFSm7+0rNLjUg+fRlha+vU9GsuV1qOqABEg7bPW9v+orlMkGr l3EbkH+/4ZiQaxouzt8vUh/RiHWxUkKKwhnYZBi39NJgE8Sm3U8YLMqCqsS/ wYlDrfC3P2ypujsL5vF1Mz6fa8WyatVTUg5Z+Fp+QUH/Vit2RNWdbvqRhaT9 NWkmwa1Ij/JLTVPPRpJ7ybm0zlb0mvd8N/qdDc1q1wUt59tw8PPb0muzc5As IMF7urkdy037WLlP83BcREAlQrUDCm4GW+3C8hB+ZaTfa0MH5sSFPhVNy8Nb yRMvTmt3YEzYXN20Mw+hp0Kuie7rwJ/stGutm/MxYsgNl7zQgVsa7lMjXfmY f+ii+dSnDvyWlJFR1ylEaLzejZCFnbjxewv8h4qRJz9QqzvaCbkUqVZ+/grU +htOVtjQ8bVTr6xCuwqxLvLNwfFdyDkfvOBoTzXalf+6c7IZSKYuXLDkVUPz m5Otfx4DEee2Zp7mq8H7xPkt24sY8Dxbd8xBpgZJZz1fu1cwsMdGKuCBdg0e LnHa3NPCQMVRz/nx3jVQcd+3wWSMgeY9l2QF1Wpx9FdXipkmE9wV2yXjLtUh TEo52t2fiR2duoVPbtZhpFC3tD6QCa/gPW7nHtSBvoZ3WO09E/NkLNjK7+rw KLgl7fdHJrT4L1QE5NVBLaMsZuALEzeb/J89WlCPY231GtllTEw8G5K0La7H cm/7vzemmBAYjZmzYHkjQoP35XgdY2FBue4g1jYCNQFbpE6ysCGsocZ2SyOW K/4NfmfFwpm9swLjjRvB8ly9NsKWhaJ3Nst1nRtR/c7eI9SBhWdb5bfaFzZi Yc49B637LCje8TqdZt+Ey+l9hY2fWNh4YOHu5mtNMI9c0KQczcL+ZSmr+O82 QbFX5d/5WBbcyjp6DV82YSTph+BgIgudittvtmY0YeebM8r/0lmI+jHoPVO8 GYb/Kt1ul7KgNX3qq3l8M8waf0Qq9bKwzzj7/q5vzYgetmQvYrNwOlDJZFNO M54f6zio2M/C802tTIXaZmjxxl2luCxQl4/Ld042wyTiiX7XBAtB7QfvXDFu QUaR2+g6cQr8OYa6Pj0t+N4686S9CoX5c6Il3HgtUBOtElNbQ0HdUqTpCl8r 3IeUaX2qFI6NFV6zkGnFqJev+CUNCinrdn1coN2KH2eazcw3UTj7AcLRT1tR NdzQV6hPocxjw++C1W24U8A4am5JYatkqcCLjW3YGviRb8qKwud31puO67Th 3etyr0hrCg/ifUPZB9sgefv9un5bcn09y3G+exss9RWkLl0g168Jljtf1wbp hCXq0zco6FL3E4V023HDPXDA9xkFF/XfJRcM2jHnQqgC7zmFxGvyXX/2tWP1 ft01x19SWDSVIB94uB3f0q1nKb2hMCrdcn/tpXZsPiD7xSeAXK+96eAR/3Z4 3xiYNesjBaXn/0aj+tqh0XzA7MI3Cj+t3aK+DLZjFmvC9U46Bcv1c49mjrTj snRdy9MMCkG1W7+VCXQgLSBj68fvZD4XPnFmz+vAkkvxl3KyKUhHrxrcgA4c rvrZGFlEIen29/Dt+h1QLOUeDyymcMD4gNnuvR2QCi2e61tC4RnnRtJh8w6s yaxf6VBGQXxT4eVbdh2opbt0zf9DYWbemZ6sZx0InRyunl9HIeLNaGDR6w5s jznyh0Osb+djVPmuAwsNb8worKdwXzQ1uvNDB37cuSjn0Ehh6sAM+5nfOmDU +O5fZAuFkZbwLsP2DiTf0bDLpVF4m6D1xryrAwGPIibu0ilouZfon+juwGV2 fNnmLgrXlw18uDTUAeNrg4qfGBQGzu+0eS7cCVnN5e4OFIV/w22tNRqdcGCG OXzuo/DV7lmOoVYnHu+Sn3mQTeFe3Y7IrG2dUHeLfzRNPC8t+FLU7k7skfp8 eH8/WV/n4xN3TnRCon1c7u8ghdkM0fZ+607MinqkcHmIQv3BjNyzdp2wKZMV E+FScNgo//SAYyes1wV91eJRCBiqlV/2qBP2KzdudRmhcMbWa9LfpxOpX8IT ZoxS0Kje2DH7VScGH7bO9SUuSH79eTi4EwtXLI0KGKPQ72i2qTS5E996LosE TlDY019u4dhGxr+AnrKZrxtzrV03M+mdKGKOLvlA3PpHVfFEdyfizXXcxPi7 4ZT4lLaL24nynDjRWuL3l/c6yovRUCWrbGcm2I3zbSMHfefQoNVRdziWeIPJ 5y2C82g402K+ZcaMbpSoz+LvXUzDjSLm7zhiXm/es2wtGp4sstzNmtmNXyed rm3UpiGGrZqlKdQN73Llw9E7aZAz3qviQrw07v6i1/toJG9EVfLP6kav4joB ETMa3GPF5ugRf/Pu6HI9TMMi6VHcJza+qBNnZ0PDp54EpzHi+c3s5812NGia +bmsF+5Gp9F7J9NLNHwM3XnlPPHNNVPbtt0k43dZtL6KWC8wTinRlQaa9oVp AZFuSIidFFz+gIaBk8k/NIkjujNLJHxp0GfZz3lM7PDWRPn8KxpSnZL/JRJv 0qfdzvenoWzHlrJaYr5+5+rFITQI9Ap9GSMuCRZVu/OBBreRlcGKot14bRji WfeZhl9xn3y0iS2HNVvXxdOgo/biwTHi/gNHn1HfaEjcUO72nDhjsoep/5OG sys3en0m9oi+pxOaS8PWTM2XP4n3H5Z5N15Ew80d5R+qiOfP+Nx/6DcNF+qk MunEnYnbDL/8pUHEU6R+iDjmZEX47AYyX0o/xwTEyHqLnh4/10rW4+gWZUni HWk88zwaDdrZHqbyxMK2T2KVKBqmM6M8lxBXzVk083YfDYUvkrJWEgf9SDpZ O0iDxemP02uIz5zf9VVzlNxPw3eXOrG6XIOEzxQNkTVOL/73SO5FO5YgHeJS NjRV4pwrfNl6InQM37XcpkLsvfD1/PcSdGQHOb5TJj5UsvLq2Fw6FhdHTi4g VrqRWXxQno4BfcFz0sQsZZOlSYvo4NvwvF6I+Mufzlviy+j4EXzQZJQ87x1X 5792KnQscDheRhHvXi2qmqtOh7lzlEk98Zy6YI9FG+iIvWTQkEfc8ECzxWUL HRYD2vYJxOEa+RtrdtCx4smL6bfEF1uO+Gro0+H5YV/QXWKtJz2Mp3vpUPO7 jtPEfJvugbmfDpGIudQu4hLaXH9dC/K8Y2rvVhC/ev6JE3yUjtlJpSYziVd0 /w6zsKVDYHfcn+8kXjh+NmMJ9nS0jEwFvCHO0OOZiV2mY+839oWLxMbBC2fk uNDhYF68RIbY6cDFs2uf0fE4fl6rEYnnHZPTP5+8pkO/T6FVhnhW9Cs5xjs6 FBsH6E1kfwQIZhYFRdChrLtpli3xr68ia0Qz6PAqzA05Qfbfk9PBD85k0bFs oVytLLHFHM3m7Dw6XiVdkSkn+5dlf8TnRgVZny8mkRuJJRZ+YtPpdDgZXFJi k3ygc+hBC42iI/Fxu1MIseMzq9LOPvJ9G8O5+4hr+ed/ah+hIz553ppwgW6E MB5ZNot34bXf8sItJN/8UTqzr0mqCwarO2ybSH4SOLpza+O8LgjyfhjdJj5b Oipbv7gLcSf6h1KnyXmfeL7874Yu8GW0pM6bonCK2p1ZtaULX8V2BkdPUni5 VDmqckcXHrkPlmsT8143eVTs6cJVVUuxEyQ//nTZp116ogva4aM8T5I/jfXU Y3I8umDlJPv2IcnHd++Ivvv1uAtVxTfm8REnpjK8sn27EHDSr82Z5G+ZVe9t fvp3Iat2pYkVye/N4nMUMmK7wElwj1gwQOFibf+jpOoueBcUr9XtpeBtn3o2 dBkDJ9ZmzjHopNCtE/dIbDUD+748j7/ZQcFg/sdo57UMfGu8avi5nYJA4eu+ fVsZUDeJuMPfRuqFZU7OoyYMLJw9XRbYROqXtnVeZrcZqP+Tp3GlmsLOg4kf Z1QxUL78VYZ/HoUQ1c+Fl+sY+BPcvOdJLoUJwVCqsZkBwxdh9S45FL59eaaW xCSu3jRpRs579TmXU09OMqBiMGLZm0mRc14t/+sqJmS/RUbnfCHzpxNDP+fG xPgWpVxOCIXvEf8Cb3gwcWZ05pr0YHJeC6uaez1mQimV2eQWREHiT+yvD6+Y eLzHQ16Y1CsrrOJDWj8xsdY7WXQGqWcOuSYdsfjDhKowZyLqCYXU9LQyLGEB F18vTHSicGvhyIP9K1hIb9m+WvcaBR33zdtOrmFhedfBx1VXSb22Jz3q1kYW 6dOO6vQ5UKDXZXil7mXBbGlmkJQ9WR/eD501jiyk3Iy8KHySgtO6vJR5uSzo znyZnK5H5m/D4tAXRSw8qLrQMLiTwhGtO0/Ff7Pw28ZAXlWHwratG2wEGlhY RKl2+2mT9dCNkOzrI+Nb+ZB5cCOpd0w9zucrUGA/2i19awWF6Cv6i50cSRzk 6oxYz6LQFp/3tHJJN06VyjOHyH3Hz1cHqtz6h54sg9J76iys2Tlr6mxmD/Tb dZuekf4iMTpmZX12D/4ZugqK+jGxQeaA6d6CHvjoxrA9yDxqM/0j1lT2QFbe YrOrLxP7fVYbcRg9EKBP+d4k6+DYYOzvIt2LFqewn+FXmEi/+nqdt30v/Jz2 Gs42JP1L0+YTkw696DG1Nko2YCJHv8XTwakXSQOZVsd3MVEit6LhgFsv/kkP 9yfpMNH8I81N9k0vZp5aLXlrExN8ok1lIdm9yG6K5HdfzoRB+BK7JLk+ZNxy H8kVJOP1l1hRoNgHBQm7CAY/E4t9x+mNS/pQ5dz2UJyPiTGXGpsZqn24H6C1 1GaCgTjTx5aHdfrwMXGwZSOXgbn8/Qcnz/XhZFLhzsckLvmGW2SkHfrw3rA3 kt7FQE9Pyd8V1/qgXlrE06MzUFAfYXrAtQ9FFnMfSHQw4JJ4xPjDiz6wX7g9 qG5koM0qW39vRh/4po8lqpH+r+xgnKBlVh8ucR1oZeVknxkF5Djm9eH5yzPx V8oYeLnJSSfodx/yYbyxoJiBXZKrtNmdfdivRFOOJv3lupmy44KsPvwKPL3+ ci4Di8b5M+b39qGs0GDNlhwGRhhNm3SH+7BNJ2usKYuBmJ/P1r8RY5PzUmmx ZSYD/il3BqLmsFGxZuFtowwGOc/tk37KsqHzO154RzoDln56a1lKbNReOtu6 Lo0BKYfh1ds2sNHw8fOpE8kMTJ2mUyZb2Ljl+WG70xcGuo9WfrbdwUaTx9Fn L5IYyNsVs8J3DxsycYYJzQkM3FhotbTjBBtJXmmxqbEM2BzQONRszcbCk+HB kzEM7H/A/6TuLBunNy8UNCJeQX3oL7/ChmrFCT1eFAPSiteXF19n436Fh4oF 8eT+3UfzbrGhtUogMO0zA9UprOwMDzZsEro2PPvEQDYzfSj1MRv8hQfsBIlj FJ6uSvJl48uA/BbXSAbu31N7/smfPN/WxjL3jww4JE/lhgezYXXv7Ftx4qOM iuHgcDa2brklHRzBgMY+R6vXsWxINR1SqfjAgKKb3qtnSWyMCWiVXSGe9UWm 8MlXNlwOFKnNJx6gd415ZrLB4i40zQ9noFUuTd09mw2xg7JbbhKXGD6yuZPP Rn3MMZYGcarrUb8bJWzEFNhZs8MYCE1cXeJYwcbMbw8ik4m9aeOTl6qJ/XLS XYlvzivXtG8g8799ZrAx8em9IWdsW9koVRg1VSbef+fyOysaG2Ejco1ToQxs TdApP8Yi11d/0monXtEpxX+olw2l9IxzhcRSsrQNpgNsLHivfjWFeMIg5dy+ YTZmm8cd+ETMuuUZZDBBnt8mdlYocfehNefC+DjQEr/kF0J8ijNXQEmQg0Ht iYlw4trHE4FBMzmIeLxuWxyxkXLXRgVhDuZrpRz4QZz9vbzirSgHqujX/kus deirvexsDmwvLJ/uI45lhwi+kuTgg/URvznkeZY+fhg8R5qDn/kn+TcT+y+9 sslXhgOJ4zU7zhBLfD9SKSbHgaLaGmN/Yo+DOy88lueg7sfb1ZXEo30qM2cp cjBz6+IaSTLfDo+k33ss4kAj2c/Qgpi+ZHyzwBIOHlkFPAoh/mNRdnFyOQf3 Hhab65P13N2XInR7FQeHkzc1vSf+/jA4dGQ1B0by6Ur8JD4+ZThUD64l97M+ VlVNrGhx2OHqOg7elK3bYkDi6WUvhNkbOPAwe74/i/juYint7i0crH2q7ZRN 4nEofbTGTpuD+I8Ft/eSeD1v3nm5awcHruHGi+uJD3olf2jX48Ag5LeqEIl/ 1Z6DYnXGHCSvw68Isl++WezLenKAA7XVXrn2ZH/p/dC9tsOcA22RdWob4xg4 5ru26eMRDg49rpzXFs/AYw2RGKfTHNypaz98l+xfmXfTlqvOcpDv+SbmOtnf ofw86eZzZDwxDkuupZDfr+q8pefAgXj6KuN7XxlgOH03lHbhwKq12qeT5A/H li9T+bc5KJ25tEXkO9mfu6K+uNzlYHjnpkmtH+T35fwUOh5w4DCL8yCc5CO9 9MvdCb4c2IuPX/lB8lno5NInxhEcKCibPRwh+VH1rPwO/k8cPLj77daNSgbS fksOpERx0O3D7z5O6orf7yeOKiZwcD5k9SvpWnK/nbUq/9I5+Fd9yPY2qSuO eT0uflTBgekXSlu1m+RzSY5w3hgHsVHX5OKEmaj68eTh3kkyv3IHR1+IMvHy 4nKhimkO6rvUql3EmZAuOSbYOKMfJccD9prNIfbMn2RL9OPe81Kh5fOZmDMe MLBAuR9fCy7f30PqEnHmruZrRv2I7ki6CXK+zcgKTFAO6kei78hk40smLmzI bBAxGiDx7HC8n9QJMXttQn/yBlDs+GTXghIWNqgu2YHRAYgEeu5fUMbCT4n2 pqzxARjsLuRTIHXAn78n5X7xDULT4+zxuVUsDJ086psrOgjJItkcLqkLdjge uFO0aBB/jGVUb1Lk+oAdR6p2DyKSZiB0gZz/R10nuWZ7B3Gk6Gb+dhEKnVbf X/01GoRJ8k5hSTEKQ8u2VlQfGETDkzaZOAkK8gkbd9cdG4TI00aNOlkKNrmq G5odBpE168KXTmUK3H8Kcxh+g2AfcbKr3EHhdTCzMOjdIIyLWzb4kXplvUmK m3nQIExtVFcc1aVw9YsxOztsEFp8V6427KLQe/Pe78DYQRgMj7zJ3UehaybD 2zRnEEmFabe3H6NQo5Qk8qN3ENzAi/a5pN5yqnT9dY0zCNvdUw5G1ynMfWDo snpwEAdNt3pWOlMwZdBYb0cGwXtD66hzoVAeO6/IUXAINpl5JuVuFPK33PFa JT8EZbps+LGnpL4zNxB8rT+E3JN/AydCKTwy+uapaDCEHxfDlDTCKZzQUxH+ uHcIy63Eu60/kHprvdjsr/uHoOBDM83+SGG/dMW8+iND8PAasjsXTYH159Bq xUtD6LGyf3AmmYLC/rOmEW+GwHPLNZEm9W/vrrq/qv5DMN33xkQin0L29j2H UgOGoJfS/ly4gNR/aquPF7wfQnnRpbrhQgrJ4n22rKgh+AfrXv1VSmFf6fWb qj+H0Ls0IpvvLwW3PZ7vUxhDKGGNq60l9XmV5bkTGtQQRG8eO8gmXnbdSD72 3xDENfvL4kg9XxIm9eoDZwgqyd6xy2mkHh0P9no5NoR1ZwfX8DMofI77eumK BBdpfEsX2/2jMJb7bnXPHC6u3v6pL95D+pHGO0y7uVzE9hd9SyAeENKztprP RUr+pG8/6Se0T1VY7F/KBet02cApDoU/0qxtqlpcBI4VP+sj/chSldKRT5u5 qGVnR94k/cp1xKcqb+PibforcX7SzyhcdFq7QIcLIbH4PPFhCrb5fMqihlzs EmB0SY5S+NpEa/Pcx8VAX7ejN7HIQEEQvwkXw/4v9s8i/VL8Ip95o+ZcDFlH 9Q8Tj9yQF2Wd5GJE15iRR/orQ9+JgtOnuNAsjGKuJ/1XcETbgzYbLtrmX98U Rqxb+XGy1o6LQSudHGfSv3mvXteff5ULD4NZHrNJv7ekxbD+gycXJ0RvJVOk X3ySsy3h4CMubs+p/6xP+smBT6pes55y8arA+H0wcY6jxIYLz7m4onz22d4Z 3bAVrnq2LpALuUtvbj8m/WpZb85ZejAXEtfGb1YTb/ybvN0vlIs+7103FpJ+ Vyjkzb/Rj1xYXbjoHEX8ef1Rg1+JXNg8M70bRfrlOfKGi64lc3GAvuw+ndhl ait32VcuJpmfvRaSftuwWPHDo0wusjs/v3hM/CV+9q2tP7lgfpXz/06s8Hrq QE82ub5f8X0v8T/L9imTAi5+tFbE7yX9vIV+ZQ1/MRezpa6kORF/V8mJTS7l Ij7qaXYwsffQh2NylVwkXpSvpoiHGl5rFv/l4m+Qa6u4aDdOZnkK364l66G9 k1IjVn9i97W1iYuE2SXT9sR+l4/4PG8l8RBzT8yTeNpir61uBxdmr1zkQojP bd26bYjGhY5+nHKq6P/9+BrpSAYXh1bKaJQQb56pSB2muJjwjtRuIQ7tFs8W 6eHifuyJvX3Ewn8m/TL7uNjxQf3QJPHV1L5Ll/rJ812TOS0q1o3GgDZ9pSEu 2DOErsgS6977s6CSx4XFkvE7i4ijz/wauD9K4sX53+PlxNJGX4o3THDx6+Vv v9XEtzQ+hDKmuDjDDPygRkyTfX3Dn58Hep5h4v/vl/aNe+w3nMFD8PGq7/9/ ntJ+ffmEEA8/M1SK//++YsHZiTgRHjwrDGr+/33PmMN/rcR5uGer3PH//fue 74mWkuQhe3Fyz//jO+S8xT1XiodVD3uH/x//z+Orj1yX4SGCWyQw9f/7m50L 1q6U4+F6xLbZbGLfFeJCDfI8XP64Ta6VeFhssvmJIg/6tJ+LS4lP9fcmayvx ULE4U+UrcVFt65O+JTwcGVm+7j2xxvcK69BlPNAah7Z4EfuHZW82W8nDXcmF Oy/8/37pYZLkjNU8PP7yymA/sf3FcEaqKg/SqcbGa4m3bvJ4Lb+Oh9Ysy0P/ SHzU2shrBW/gYWsJk1ZEfM03vm7xJh6SvnG+RBDHdtUrrNLmYZbVcdnDxHuk HL7H7ODhglHUZzXiLm1By7U7eRD0MHH9//3ootdqYVq7eSiKvd0dSeI3IytH N2MPD7Wfeu47Ex/+d5i+3YiHEUHvE/rEz3Xvr9x1gAc7o9V/G8l+EeivjTM/ xkO4aUzZANlfIYoXTepO8CAWcuhSCvG2Pfz9x6x4KBWp2e9E7PR+zQYbWx7e PVao7iP7lWF8L+OKAw/XMu0Zv8n+vu8ie2LoCg/16Qe87xMrfYyevHGNh+6x CMcNxEcmqnXcbvLQJmDF94rkh9JolUKf+zzMWPtq0TaST87V/jwn5ckD5WFV 0M7fjRkCFqJvHvJwtXplvAfxjqN3jYO8eRBSvbK9kOSjxFl//0b78RB/fe3R TdPk/LW9014YTdbTDzdyxyloPJe6bxTHw5JGCzlj4vLMSOWKBB7KV1nyqkl+ FJpbebY2hYd5CYJX20g+vflreS/9Jw8GST6H2kj+PbGoYpT/L4m/uLuVTwYp SMg7pmbW8FAy++DgvwEKv+bKXr1ez4P40ISgEfEKkeMsVgsP626b9gv0U2AP MmorWDxMKfeMHO2jcL94Kjl4iofPynlhESwKG/LCLh/mH4ZFDyOczqTA/Km/ RmrGMPI7hp4vJd6X8iTcQ2QY3u/3rffvoiD7ft6LCzLD2H5mrc/5TnJeOak7 bFk9jLT3Cc4xTRSOXa5UGVQdhtobea2SRgqzzzt1xa4dhquzWjujgYKjVcaJ xRuHUeaZOihfT2Gb4W6jWTrDkGzsnGtXTeG3kuWqmoPDcHM1kAkuI/VNiU/n FfdhpP8IbHbOpNAsVnNu4sEw2usbhM9mUMjZp8h+6DWMyNIFVubpFJ7/jh4P eToMDc70o1VpFFZXFcqUvxnGiM7D8u9fKFg28BuoRA9DZNJ6wDuKQgHzekxH 1TAWdJtZlbyhELvqh+almmFcF/FwvPuawiv7Gd9G6oZxySI5SuMVhVP/XuZJ tgxj56b1D549J+dzX0LLduYwOIZfmrVIPbOWR0kGjA9D7sSWkTX3KPjPsHQy WzaCV68nNeLPUaRfl9tYuWIEV0ZdhdTtyPma+4drojKCtf6bxWLPkHi5r3fD WH0EN5dahYXbUCiaXnVrz+YRHHG7NOpygsLw2KDbjn0juDF7kVKlCYVD/Y+f rnYagQ/9k5XSRgrfD+jti3IegbWOYIDtenLeJ06Ir3IZwd3ZXWOfNCn0OVz2 XX53BEm1wmtV1Cl49li8WPxoBHlSZkdkV1JIYSq9nRc0AiE+Z/vX80l915oa LpA3gojV0zvXjLHgK+7qmlYwgsSbO4VFR1gQ3aZ/5GLxCLSCpN4wuCwI+FfN rv09AosgT753/SwMmLJvRjWMoCPruxSNRerh/FUmB9gjWF48N1msjgXvuMDx YIVR6G+3uRmTxMJMV3eLLVdHob45J1PoFAsp/T2jWddG4Wy3QN/9JAu2Z4+8 3+08ipkl0T9Gj7GQZ7K22/z2KA7o7b5PP8iCx9IWNwfPUbzP2KEbZsTCjKLN MR/ejeKbguGSNC0yvrkcfomcUVh2bDp4QIwFvijLhE7pMezYfTdfNp6Jgp46 h/eyY7h6/qx1QTQT3hqm6ifmj6F8fOZpp09MyH3Ti6tZOIbxoPevikKZUC9c FVO0agwbHS2fmb5i4kTXQGT8jjHc2vxMtusGE+lLHobcOj+G3WfjN4qBCceA BB/pnDGIKay5JZtP+qmJgIc5eWM4J3AqX+UX6fctvdwdC8dgLGy8Zxvp1x4q n7xeVTaGj0EqnIOpDATFip58WTeGZTK3P9iT/jX/5xlV6d4xTDl+dBDxZGA+ bUGp1PxxTO1C22JdBn6seSQs5TAOs8P3dY4ld0HK0FH1vsQEVv5mJVp40dGs 9uevy/cJRNjU6GvPpOH9PylXwawJtP22eakw3QmbKPMVPr8mQLOyLh4a6QS1 rO5maMEE6TPD6EE9neAtaF1Y+GcCC8cUzmT+7YSUaI+dTNcExPKzFqiHdWI3 Y9ZE/OxJROg7y5dv7kRiCJbRLSdx665gOPNoBwZvDc6ytp5Emqtz+S+zDmgd /vSv5fQkYtevb/Yz6kCmpGRy3blJuKnOe6q5vQMF91p3ljpOYs5VpXurFneg ycbV6ovXJNnXSUvkutohtDIz4F78JKxX43PB+XacTNCSWjg1CV3/Na8OFLbi 67ERiT98U6i7+mOZV0orJIQyxB8IToGrwIyIDmtF9ontwpTwFEx8ZvCybrdi qaj+dMrcKVy7bGQ3f20rGLamvftUptCe9vba6ZctcFC4WHzHYgp+DXvdrQyb UZCvVrj28BTuubufV9/YDKWr7LzOo1PoUHjmzFRqxp9Cx+w9VlMY3q6wQY7b hHXXXdJkzk8hL1g+1y6kCcMVXh9j3aYQtiLfPKSnEfc8w9ybo6cgnjey4uv1 Bsy+McvQOm4KZ3I0zcctGxBw7pI0I2EK61fRnVfsaUCy0ZYP7JQpVBaL/VVT aABDqjJPIIuMt0LMdOR7PYxC+IRV/k7hSElk5ObJOsxLs/K9Pj6FvgsZG7rP 1OLD5/xDY5NTeGoqI2loVAuNgDVKbnzTuJ7h8O+BRi32ug4nPJo5DaHL1LoH YzW4o/esMlByGocGJe6Fetegs+KnTI7yNAyP1EaWfK5GHGthoMS+aUxyqt67 ZFbhUbDnqdb903j/8kZip18VbM16l8ebTuNu206bsatVUPz+PdH48DTaq3fy 1FZW4cmz4wXeNtOoMZXYdsGnEue03vWLukyje2pjt4zBH+j/40trvD0N/30s bWPFP1AKPXcn+i65X10jn3RnBWpFNs8y9JjG0am0wCHNCuxqqVV8/GwaFQ84 mt555Vj8ckfnkZfTGDr0dNbms+WY2B35adWbaYga6IoGCZUjJfH6uqKAacxO 9C48oleGpR4ye2ZFTkPzyfcZM2NKoK+/e96Fz9PQ23oxsv1ACZJUqsUtYqaR zvohaNVRjIGQk28C4qdxuWJBwTXrYjw/nHxyd9I0AlZ2T64YLoL6HJEVA8nT iFUozBh+UoQ9v+6zur5OQyfGI1pWqgjLnLvjUtOn8Tf8W1lIQCF+qes4W3+f xolCvVOlKwtRInr7TETWNKakdgxb+hdgnc+ukYs500hMeuA2rlCAl3sf5w7l TWP7MrP9VyPz4TDFeZRXOI36m9EXWUvyIZ622/RKyTQSRLrOV4bmYfm57Lm2 5dPYSBd1hkQedq8a6CismEZwgfLhk69z0Vz5LETw7zQY/FKpjt05+OY1fPpv zTRSwyMGnpnmoGrT1RWF9dMwTVsodDjmF65wCvocm8j6Lq8tPiX5C0Yf1VN0 W6ch6OygWmWbDdZJjzt97dN4Y9R0jnsjCysL9K9/p03j64PWtlUzf+I/Lr9M Bg== "]], LineBox[{{1.995231006039287, 0.09754300020037165}, { 1.9959157171960376`, 0.09028562328817241}, {1.9965678230596096`, 0.08277883160432316}, {1.9972199289231818`, 0.07451362738473755}, { 1.9979784310066, 0.06355310697569093}, {1.9986957474565292`, 0.05105672074749609}, {1.9993135319588609`, 0.037046754363624645`}, {1.9999656378224329`, 0.008289939594768888}}]}, Annotation[#, "Charting`Private`Tag$5460#1"]& ]}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJw1m2k4lO/bxy0VIUWlSFRKkpZfiZR8hbInW9JCSYqKkhQlESKFSlKJog1l z1bZsi/Z1ywzY18HM7YxeK7/i+eV43PM3Pd1Xuf5PbfjMButHIwucnFwcCxw c3D876/Oxb7qnP6LKvvE9j5wy9iDRepi1ztENSCzkm/0+MgH7I0IDUsWNcH4 htsnnp+KRpf4Zo/b0haouPuvm1MgHroVjUnvRK0xcOJCpMBQIjY/Wf9pQdIW 7ebzyoW8KWDrXHh1Xtoe/12SKr8w9gNm1lO/n4s64c2zo8kGJhnIVxdL+xPm jMTOjn7f1kzsljqUwJR0wY/kT/FGBr/AS/OMPCF9H4l8ipTrHNlo2/VI/amo F2I2Zjmt6MxFcMTanC2nvUF3KD+01yEPOstjlLPCfKDI/r1571QeUkfK99El /XDnxBdpUfYfBHwXljGUDoClUmf4c0oBjqz/+LH/UiAk9Dn3rjQuxP3CNyty TYJQsrnOAn8KIa8g99Q85Bm2pIUYSrwrwvvVBj6PRYOxRO/91mmlEtyteJV/ IjMYy8KLnoyGleCEN4VL6vRLBPA/jjk7XwKBiRvuP8NCsC5ZUqT5Vynu1AXf GZJ8jVQ3G4uhbeUwfNFid0w6HDM5OjGBf/9CTlcqWqwoHBXS/qtrJCrBy321 t+dSBIpNb39VtK+EZcZ8YrbJewSfjqaqLa7C6m1BO0+GfMCpnBZmb1gVPHiT t/qJfgRnyepfST+rIav5zDfp+kf05YQ94qdWo8bbof9f0UfYPXcqFFxSg83c crE7nT8h+aJfgbhBDQrnPu6sq/mMaNMdn/3baiDACNkn+SQaXPUVmdLDtQht c1X/MR+H0Nhno/aUehwWN//YbhqPyTkOfvZcPQZOKS7m/R6PiFeC4WfWNUBi yOXC9x0JGHqtpPPWtAEOtgpbOFoT4PFd7bFUcQOEreO/ftqfhPIrtM0znxpx 0vxD/OhYCmK67ZXrtZpB/2fCFyn2A8/jLF9ZnWuGjwXvRWP1H/BdOibYfLsZ yRccxFKDfyB4oTPM83MzBO0Ped9VTIWTXlZ1FVcLCjybTy1xS8NMLns2NK0F e74JLRHnzcTf1KY991a2gn/B44ymRDYEXO7ZG4e1I9TWzELuaDYsj29S04hv x+Y6uXNC9tmovm11XzqvHSrRjRf+/c6GWiGzI6u3HRnRIT/SdubgtJRIgfKe DgwbD/3S/ZsDy7DUNyb5HTD9+qrs5rI89CdJD05eoyDsrKeezcY8qMYKctg4 U0ATvlZxcl8eLlyRNSy7T4GDm1rlobN5+Pzq3947gRT4GQ3X8HzPg7CO3Q+z BAp+s9Va3ur9wW6uic3CoxRsMRzp++Ofj8qmEZ5HNlSIuWseuPQhn+TV4rFV 9lSs+P7eny8tHykKd4yf36KCxWu805CWj9KFbQWnvKioykm72b6/AFILwRLr P1Dhuttjfrq7AK+LOP4daqTCwaLFIGy2AHaGqlPf2qiwfrL3A4QKkcTP85K3 iwqDvm51H+VCBPaNh3mNUrH5vY7fyheFmNa52fOYl4a/y1et2qlahO4Gx55o eRr+HLp2sdq0COKmn7TKlWhIv1KY6nSlCJ8+MlyaVGiIKrpj/jOkCI8lzsd/ 16LhjntbuNZwEe6lChhqnqbh2neF0UGuYuxQcV6ZYkmD1b/Aw4Fri+G4otpj qTUN+opqXfXqxRDd19p+7SoNm+ift114UwyxFfO7RO/RsGY9x90lCcWYztem FbnTIKBrXh5dUAx+oycGFg9pmPrM7zA6WgyWuDfj8GMahuqsc14sKcEVvsHp gKc00LiyhBTFS3BMJeHEnyAayi2up7hpluBAXfwfaggNeU9KFm88WwJ9q5jo stc0pGVuMst3LAH/mqcvw8JoiBSpn+ELL0Ffk+p+xgcabv9VQiizBEdTq6Zu xNIguPNHdwlvKcJd3pTaf6fh49PdT2bFS/Hmz6CraTwN1Xpbmy2OkM8fzplR kmi4/C3SPci8FEYXJu94pdAwzy8hnXetFPYXhiyFU2nYXrbq5paQUvw5HOg4 mE7skw0SNYspBWv1wmuFTBpOPubP8c0qRbLO5P0rP2kY6fexyawpxcK+Pxsf /6LBW5tr2VBPKZQVEx4+/02DeLRb8vrZUjh9X/zFK4uGJN4Zc4PlZfBs5w88 l02D1mUnDg+pMnD/FVCVzqGho4j+OUmxDGt5TmTXE3beekW/S7cMPCYHVjrk Ev8/6mGsPleGxZdXqo8Tjuw5/0bTqQx9d9TNLPNoUDrapuriWwbrYgXzVMJV n072xoSVQUTiovEUYZvFdU9bE8qg9J+x4aY/NLCtDeQFC8rQyRlsqUj4RX5p C5rLMLap1F+BsOzmox43hsvgPP61S5JwzsPcrVGc5aDkTbgwyPtOdCr/rVtd DiGG75lEwsNq6U5LZMsRM3Es3JywV+TedftVypGnpW00ROwV44rPtTUqR9fp wCe2hBPOy15+a1OOgosGVtXkvpq5nwQrXMthva2yX4pw+4aNP+YDyqEVc/XA eeIvpwdhp3dHlWNvZfhVP+JPPsoaLqu0cohMTLwOI/7+gBdfX5SV4/R18bY3 JB77IwQNCjrKMc9uMPQi8fo77zcxySjHRYnFq81JPGd/P1A7JV6BPY25C/lp NDxfz+7z310B18JXNmeIHmTcbgf+1qgAj9r1Nx1EL6bK9q0brlXg9LZeRnQi 0fvbfk8jjwrciYs+P0b05jlrvc3rZQVsElPltsTREJ952rn3dwV2am++bRRD w1GxRnHRmgp8ifHQ1PtKQ6uL0R+dngpsPbVpzd7PNCxV0l4RJ/gXmanqVsVE 7xfSFGKcLP/CNZT5RSSUBpZI0vHPN/9CdPq9ndtLGoKcd0w1PvoLESfJTzXP afi9b7PGwYS/iPx0zUib5N+aFKF2Ts5KLFhxP7jmQcOZJ7MmXSKVuMrffJjv PtGPdXdZoVwlKjgvuQW70iC3OiPD/2QlSgMlXznepEHN+dzL1QmVeDs/JWpB 6oVCmNnn4F1VGO1kLz6kToO5bznV+0AVFtJ8Pf9Xj+45HV5/+0gVesSahmwO 0JCrtz3Y/HQV0tftXm3xHw16c/MeEo+qsCt8RW6OBA3nLT6f/dpeBRaD63vy FBVeOutev+6vwt9pkc9x41R8Vgiqe8ysQsyiwANRw1QMCbrqXuOrht2C/+K7 nVQ4Z+sr7VGoRntq9+Lxv1Q82TCx6tfTavgzw3wufaIilaZeXqlcg3E929Nd xlQ0aHmMPdWsgcbLqp9rDaiYjMsS0TOqwQx3ocIJHSoU7yqdL75UA26t4y4j qlSkr9w1mfO8Bh5726Uid1LR5HJ1nfu7GjTMyOrskKViuiNa9dDXGnSPrfQt 2ELF/m+b/TN+10D240kdyfVUZGiIbUjqq0HTQGKntwAVLTFmR64zatDcG5f7 iJf0lxUv7XbO1+DFrZ8pbxZRcaBt+Y+YlbVocVdsmGBTkHlrsU6USi1Gond2 BIxQ0PJPzeG8di28OQ9i6yAFrMMPgiVNasFlzfW5rpeCg4Kz7W9ta2FidMv1 OpWCX59HbwYH12JfunJpRj0FrQI7XxtF1EJ9umeYp5YCtuOVrBUxtdDeLDBu X0XBIfTwPs2uBcuGcd+vjAKLT1I7dUtrcXxz1dShEgru8583Xlpfiy+2hv8t K6Igq/HfO++BWvSev5k9l0dB+yHRP+oTtShxnZqXzKVgPupEHydHHdba/6uz yKZAgi94WQ5fHX59yU3J/E2ByvXqPfdX12Gc309I/hc5r0HwpPKGOlSd1Dxb lknOU9ZzY8nWgTNQfalHBgXhkX6R6fvqcMV61Ns0nYJs3qIiZ9U6JGT3qGmn UUCxXzQsr1sHcRVK3JlUCjjqDwszTOsQ/ydRMegHBRsOuismnqvD6lVHdbpS KFD98OuMw5U6LLsTamRO+BwPy2OHMzn/avxPejIFD64pfhl8UAcTi1f0L4Tf 1zqVR/vXgXX1rJkn4RylpLFLIXUIAd9pd8KUCLqI9AfyfWrY+QjCHEt2KHfF 1mEhenE1jfCGq3bnI1Pr4Lpvo6AOOe9wzRefc7l1SLmYfK+esNX+7liJ8jr8 dbRy9yb2eoZvqm5tqIM+T9LtU+Q+kYvOTb6h1uGB3XyBCblvnt27deZDdfiZ frvEifgjuf/KFYvJOmhr7cuLIv76ePnAzwsc9UhZenwrk/gzuJeX35avHjm0 /9RtiL+9bRpP2a+qx/d2Y0sWiYdz96eYmxL1uDp/ID+BxMvG2ol1R6Ye80K3 MvxIPLWshN48VK7HjsI99h8LKFCikj3kaD0e6NLSeogeZM/FKQUcr4e/n8Jn vVIKBCx0m0Ot63F/CdPFq5KCuVbRbeH29YhMPUE9UUPByOm+O1F36kE5rjum T/RZae69Nu5JPTa07+CO/Uf822R8OTmkHpMlj+4LdVCQYLYpPf19PUb2H335 jkbBc9Nssz8p9Ui/G3l36wAFD+uefinOqgeffsnPLSRfnIzPTFUU12Mh4vwd nXEKThjOhDS11sM48cJB3lkKNKuKetp66pH8WSr6wwIF+w1CFDpH65E9xD5v RfJRVH9vw/CiBjg3xzqfEqSiVevaau4dDTBe5ygvu5mKiqKDF3kVG8B6kMzP TepB1lG+H8sON6DGaPDZot1URGh8MVlL5viY2OwjnspUWKlSX+xwa0DlorJD V82oMM6O79zzqAHTKeq+ARZUaKjc37v/WQOUnnx/2XKRii3K62rVPpHnb7fZ jTpR0adoKnyyogEibUuqVr+kojlVyupsYwMyLW4K+L2jonTfeKIVtQEby6LL pT9TEbs30PDaRANOBERK0tKosN9VEuS5vhE7/0tINSfz6YT0oeXfrzXiQKO6 veluGlRoakWP7zTiepd/zmVlGnzeablfftgISlfLpzgyX4qsMqFLvW6EjsS6 VTXnST/gvFL5Jr8R/eJe953JPHfnX2ig77omSJoUa29d2omckHBNG+kmmBfP mZ9d2wleo48L6v81IV1BuSx/aydeF8c7LBxtArfvYbWtmp3I/FFo4OzYBNd1 AvIKvp1gBzKXW5c0YeNtgU/GK7ugocsqOlzXhDvvNJT9t3ThyRKOB5IdTfi6 kLx5TLEL6934R1uYTThSvrXn6NkuqNhtqjLc0IyRxD0pwjFdcNc4HgSyB+Vk H94yoNsNrpnYFeu2tEAj49FrxbgerKtQY2BXCyR47NSW5fdA/kNzvbVSC56/ 0vfjbOnBRW2et3H6LVj2R/eexpJeFL+22qLm3IJ/MesCtp3rReAB0QO2RS0o VTCaFRXtg/g9nwtptv/gfOyITnJYPxQWzqUax7VCccsTl/vVQ9DTz/E8kt6K VyzzDLHBIVx4K2mgmNeKpLCSr+mLhhGk2N4r1tAKru3VSVOKw+h3OC1Km2vF 0DUnxVvhwwijmN67rt+G6RfFcouujIAzT0ft6VAb3O/8OiazQMfaFTGC7pNt uG7v85FXYBQ7LZb+u87RDq+QRg/ntaM4xSq6abKqHZnHJJ0P/TeKlD1HPq1T bkdLRzaHo9UobKLAG+PfjoHqWnmNP6Mo95L/WyjbgQHXf9eXu43hwPIyrmf7 OhBbazKv6DeGr6/PK55W7UAeb1DV8ZdjeBgX8J5u2oER55V6Rt/J95v6HNd6 dMC6+wnraSv5/vZ3a+waO7B5WQclRXEcIql79eRpHejqSO8qUBuHl2rpg/mh DlRl7Xn2R38cCTGzTtqcFOwZzBbyujAO/2yZ9jYR0ndU6letChiHWr9nwhI1 CsQKoqyOdIzDZeff0iuapA69kIpa2k+evynaXaVHgaEST2Da+Dgk5uNF35qR Psi8lVu5mIEZ4TbPXWTv1Lu+dPOwLAMJyoqmJ0Mp2OTXWZ95nYFeD0+H3+/I 591Xv/C4MCBRVOG3KYoC7i18LQc9GHhiaJ019J0CXe3cfvNnDFy2ebbV4w8F sfw7g2wTGJAMGpyJJnVJtXzCMqefgazz7tFJDArGAzS8Fo0yYLF3pfnPadJn Ck7S/ptkIKzhQHo5FxWP52SEtLiYWLv+sTNdhIowS9/sc6JMpI2sl55eR0Wn HL/8sAQTJ3IS6zk2UrGmRv6e1WYmXl5olhfeToXyvI8lzy4mhGNkGPIgdWvT qrtK6kwk3v0VeUiDiufGUc/4tZg4rn/c6Kg2Fby3hQ4W6jEROHo70YzMTeUx O/6bMGVCQLHIwfUSFeYiW/cpXWIilve05MOrxJ5PlrYGV5jQaRn563+DzDl8 yauOOTDh6yay891dKnaHf65YdJuJxfkXh7IDqfiUb15r5s3Ex5czb4uDyd79 mKso0ZcJjUtPdatfU6FkbHuA6c+EJ9+PGFoUFYKzVvF7njOxsVXr1OBXKp5e rcrY+ZKJnO+tS5nfqfAcizddGcrE/PFFtovTif1rPM1D3jHxblPoWsHfpK4u j/8r/54JZeb2YpE8KtYG59J/RjJx95XxVplyKv45zZh6fWFCzLa3YXc1FW1+ n74VRDOReeCuj1IDFe2a6jX0WCam2yK7dSikbv75L3k+nolX8Qovjbup0FNX 9epMZELBo1TjzAAVR10zDRKTmbi1eTzqGpOKt6ESPLxpTKya9DZ2niFzqUCP wLN0JlKKRLnd56mYzalR5c5kYtzusFUQLw0bZy9ejfrFxDPleqHXy2iIKxv1 qP7NxG5B29wPwjQw8y9x9mcxUdnBvh6zhobMh9Os/mwm7BODNiSL01B7VN+9 LoeJZQ83V/3cSIPGsicRX3OZ+GaS7p4vTcPPBNNrNnlM6Enr7arYTur+XD5r 2R8mBqc62utJH/AsuHYqgnDqpcA8HQUadNXWT0vlM/GgUeVz9kEaJF3LfwQQ 1tUc8ZM/TJ5PnP/WQVgk7d216KM0SBc3TYkUMEGV1jeU0CN7zx/JRHnC30LY 8i8Myd52TJG5n/DtJd/W8prRcEppQ5sUYTXn0+x7Z2jwn3D2nSDvW9bDRxkj faaTx3FlHOEm08w/NpdoeHiX8lafcFSB7Zd/V2m4fUxGtY7Ya79P1P+4Iw1c LRqSaoSVPhXbF9ymYb1iwclX5L6LVt8xOuBGw1h4qUAd8Uel11aFeE/iz8Il Z6aJv94wG0Q3+9LwVCnz0iLCF6195kLJHvU5Jslwmvh7d90+6rIXZK/V0lau I/GYVe/O9yR7GcfS8zqhJF6FycFfp97RsJlhHaHxk8RPSuPJ1SgadC4etWzO YOLMC4YDlex9VLO7cSdI/MccjRTLksleJ6YRyP+DiV80znWqGTQ48upeVSf6 8TFKnE8he66gpK+DNdGX+J4VheElZK937POy+s6E1liFiWMH2bvvWOoaf2Ri 5Xm3/b1dNJgcK0xt+sBEe5Wc+JkBGhbv736iFcGEU4J/55EJGrLMRqT6XjMR 4aDtKMrfCRG+yKztAUzYdUybBqzoxPyvfSpLSf7JG3xV4hbphLDpQd+aR0yU 7uThHN7QiYNCmXu2eTAxOZwfmKPQiUUSjMlBRyZyzzrd3KfcCdHAnlY5kv9P KqTMYg53guF2adFpUh82ffeUCNbrhLRgWrP7BSb0r6p+v2TVCb13ijOjRqQe DPwsFQzoRECkUWHYThLPVwZSdi86IcQQyOvYxoSiRufdglAyRxikJK/cQux5 x7fjXlQn1gxBxWAd8edx88D+9E4Eey+2FONhQiVt0ji/sxMGR+IS5VoZaH74 X5uLUhdWNUfu+OTGQOTugn31Kl1o+useePk2A1fbTgbs1uiC/pGMQ1I3GOBQ fIDeY10oM+HWdbdmQHrg7wcT6y4MzXimNeow4HT8qs2uwC5sGI/nVhBhQHD9 F3pXVxc+c+w4yB09DtUTD9s6+7tgOUcr9I0ch2OgZRltpAu2b/avEggbRwPn 2i+U6S4YFa7zEwgcR3iPr0WrQDeerM7qmXYax84Eu4pa+W5cMPsiFaE6Dn31 nbF5Xt0ILdJpWtk0hvv3+F7n+nVDylFgSUj1GBJ+9PjkBHRjZNFRRbGyMayS ibDKCu3G03OMdduyxsj+t0Is81s34vTfbrH+OIarDWO+iXXdUJ95vvTyjTE8 sf1h835zDyRvxR+1EBzDgOp3X37ZHpye+ClcyzMGzbWfYpx39aC/6QLHMc4x cBUFj+gd6MEr6YCvJ5ijcNns5Dxj0IOFu/ODP1rI/NCxx8fobg8+JNNLc76O 4rBpwqdFNT04wn4k8FJnFOFyX4scGnvw+mTUummNUbC53/e3tPbgQL/5jwsY RXpS4I7EXnIep166iTyZX1Y4/Dg714PgarE9ERKjEC/bUZAq04vr4yL3f/XT Maka23XZvRczWfveWR2n49fHwbe3vXpxOv6VIpcWHZ68csY+fr2I34nhRNAh WPUtN+pFL15Kx3w8vIsOacu48PYvvXgS4TK3cTkdJ9wST5pUkTmvVfMirXoE 4tSx5Rfqe/Fvz7dhj9IR0DT2FN1o6UXmoSOH/vszAnuB5H2BXb2Ic3Diz04Z gc/bFOHS6V4ocQseDAkdwY+MtHJs7IOT5bXNMhdG4Lp++uEx6T5EilV+zjoz AlWP/QfPbu+Do3bsRusTIyjXyoh23deHtHtWWf+0R9DVmOnzQ7sPv/rlv9/9 b4T0k9+q2x378OyK8vQ17hE47clPEfnTh/Z/q+IeJQ7DRn7D+2fFfXh4wiTO 8dswTirc8xf424d19bzCV78M4+ABeSuu5j6c03xx3+/dMLjUPi4fGenDipc+ +688HkagoZddgVg/nKv3l8baDOOBMcVUdUM/vgo40q5aDcPRVPnwzy39oPBs 3HnAYhgnzJlrEnf3oznSqmLadBji560Lwo72w+80pxTX0WHEXNfY4OTYj/dR q19uliHzq+N7fvrtftg+iPN8tXkYT53Yk7Zu/RCqWW6wauMwrt9JqbD07ce+ j6eGZcWGofhg813d8H7wV3dsKBYYRn7gooZNpf1IXnzl0QfGEDri8v2rNw4g cpdvXkXhEKqGFw3t2ToAQVWjGNX8IeTIHdELlhvA1LnYhPTcIbyPKRAwUxzA n2e5oWm/hmD1ufBpq94AlLMyzg0nDaHnXXFg7+0BLLI41rv+/RCGn5S/mKsY AL2m/mbJvSHM2tW93eY6CFtFJ02eA0PYfphn3ubnEG6knXT4L22QzKuxW5ty hnBgsaNca8og5FcdN9QmdjVe3HvCJ2kQyr2hH7eTPeCL6vza5u+DOPZUVne0 h9iB1U9cPg7CsVk/1EV4GKeXeD1MeDaIjBvBe57YDsN+Tdcr06uDUPm3/8yc /TAK9mY8WGI3iDyNNm97p2HkfPwZlH5pEKVrpJuPu5PnXZ/YbrgwiNbfae6r Xw5jxe/SfxynBsHB9688PGcYYus+c63SGoRm5MZLiWtGsPrByxEOaWJvqKB0 ofgIAs9Z6a7bPIgNAbNdLRtH0Ksg8Xb/pkGwXOqtFsmNoFTI8tg9iUF8N/Sz MFMdgZjTUPi2NYNYyTlmOnd5BOt/SoTKLCXnTbWtErYnui7in7zDM4ihodJa 6Zsj4D28Y0fF4kEUNn00PO42AgeroxYeXINwSTipH/WMnMd/VluMPYAOyxwN 7cwRuKwa+Cc6OoBy0+/cFtkjCGWaC8eNDCBd902eY/4I/pZsZBwdHsBzRSfV sL8jGEBvp8/AAI4sl1Gm00bQ9IhWpto9gD2LV89y941Akv4sYrZzABKznJlr h0ew4r2R60/aAKZ7/imqTY3gkvOb6zqUAcRmBe59yU9H1Zo7vp//DSA05d54 9Ao67vaN/37cMgCvGNvErNV0PA64q+/UPACLEPVdfZJ0GNkLfDBrHICQ/ZTs QXk6FtF+iJ+rHcD8ha5+AyU6LjaYSV+vGcCAefVXaxU6hLVW13hXDyD/SKx0 AKlbtywcdudVDuD2estN1DN05CeUUt3LB2B1fPeJ1vN0+P2seJVbNoBjDzkf N9rQYXHw9hgvYen+qLGK63TE9fh//VoyAGHxW1tKbpH33+sR4iQ8d+yoeb4r HQ7JBQqWxQOoS+nLyfSiY3ztv2K5ogHk9GYwf/jRsX3SVTWskNxfzF8mMYCO HWqOvkKEPR/sCPoSSofs9JqwZQUDsE+e/xP5jo551Q/Xg/MHYN5TOfUuko7e A4pbNxLeredoGfyNjsDHQjp6fwYg7q7+IjCRDuP9b34P5A2AJ2lV0eNUOtjU tI2BhMe7ulneP+l4wvvERYlw+5q0nR45dAhZLyruzx1AqY6v1b0COlb8bFn+ nvAPN/OQ26XEH7+Cjc8Qfp8gW+pYSUdf68OXEoSfdM7OXaujo2xfQWNPzgDu iFT8Z9tMR9jlw+I/CF/QDr9o3U7HSq9v1n6Ej91zeG3ZSYfrkHfSBcIH4lUr TvXRMXB0LY8GYWmaEOeJYTrOXnK5IEtYaHWnvOE4Of/w42IRwmzNlMt6U3Rk tE4qLCXc5+odpsmm47qOQjwn4YET2y9/4CB9L+LxfxyEz42u5JLkHkXjOEfW IsINfuy3YYtHMWJ2w2Q5YV2p7n1ivKNo677PlCSc86ui8hXfKPozXr1TIKxw ItV29bJR0BeYx4wJf6OHc79YPopdc294nAlv8nv0boXwKFjrzQvDCYduuq4Y sGoUcktK/SoIC/46Wc2/ZhRRH42PcxF/eZkevuInOorb2lvXHiI8M7JtMY/4 KESzD3e4Ebb3FY7wIn1Yz+ZKVD7hro2z+7k2kveb7LcSIvGqMim/OrdlFDJp PAW/CB8dSVlyV2YUD9bvvLCOxP/Xo3fvp2VH4c2lOupO+EumfR1j1yg271co OUX0Im5iZn9jzyj2nI5cVk34+TB46WQO6FrKt0ef6O3+BiHlAaVReJz6ttSM 6JGZMVN/SZnMHTubk7sI2xnTHLpVRrHues/2O0TPpj7JURT1UfxoPH8jgehd bsiUv1F/FOonTmZcJPmSbqKX/fj4KHZHNtn8R/JL/bfaTRXjUXjGjiRxk7p/ KmDXv08nR3Hg/dbFv/4OwG/30linC6Po0P77ypXk76rXCxYyNqMwYJQddiX5 /Z5zUrj18ihWfXyg+qCOvL+G5qpuP4r8NT7CEQ0D6HH6pSPsMor2LbrN0qSe OLYlzRfcHYVQ5DTLrJXk55HoJJf7o6jzPb02sI28f02IGPXhKL4VB65eTuqR eobDQHzAKHpsdmWYkHr2fm7TY/2PozATNZwdIPVRzkZUhfPLKDa2+WTcGh9A 2t/l4ynRo+A8xPNmMXMAfyPY5uLx5P4m573lp8h5hxu2DWaMwsTAwrRijtzX x6/Et3IUfLncPa38pJ4vH+XNZ40ihi/OcF52EDW/Hz/SnhuFygoLywG5QTy/ umVJ5cIoHFzChJp3DkK49BR3y6IxyIq925a1h7B3wRydzJUR2qZBnw4MYsXs m/F1UmNQydZ92KozCIHeI603dcdw5eP+Wh/S3xZlv42XChtDWT8zoi9xEFfk fzYv1R2HzVS3tJ4q6edV9d/S9cdh+4oz6qzaEFZfG3W/dHwclFajSnuNIWR/ 2iJdYDqOKkbptSCtIaxcE+T44Nw4RlTW6tUcH8LPGWv+qVvjiOjIlrQ4PwT+ bMFDXe/H8eDimLHIwyGcO71txYsoMqeHK2WpeA/hx5R65+HP48iPOrvf9tEQ LHe7+EXEjmOH++/sfP8hJH/orD+VOo6UK/rdocFDOO2Vbl9dRp7viaeUfx5C rLbV+6zJcaypvMS94+8Q5OU2qmBmHN8mDmdHVA0hS5DyL3t2HH62StfX1JL5 pfbsmlwOBvy7P4mLNA2BedY84A8fA4Oqr4KNaWTpcTx+r1iCge+lC7y9U0Mo Mlkupr2RAVwppf1gDeG44t+0EikGLj1adcV/jswVbF1GqQwD1CSfaR3uYTzy 0bSr2MPAg8wgKcnlw6h6o3Ky5igDPw88zZEn85m529yEkTYDmY8VaHe3D4Nm +etFrS4DSfM898p2DoO5+UBl3XEGZk3bH3vtG4Zo/L6jjacYkIpiK5xXH4bV Hzn5VnsGWPZRiW3nhjExKLaiJ4SBFtNllz5HDSP4XW9R2GsGck2Ptb38Ooy9 BinuxmEM2N1/avbi+zBuJOnTcz4w8PlJTFN62jDZcx/8ffuNgUfL+zwSy4fR vbjniWEeA7XCRoJOM8PwSkvS4C1gQKU1cp/RwjCkbN3ZWUUMHHD9qqK6eATn y9delatgoNjS75ye0Ajanuvq8jQxwOMqlLZVdgT1kolLfw8zYHWusmbBgszT 1W65N0cZuPlN7HvvxRGsfKjjIstgwELsTgfl6ggMezr7Xk0zoHw+KpTn7ggq vokUO3IzwfHQzViGzPsFSvd8ZESZOHZbPyu/nsz/xprcwRpM3Aj+71qaBR2+ uune4ppMFAdNS2peouOM+jbeT9pM8HBEsnsc6ODay78s9RgTa6wjdph50HFM uFKk6ST5/sd/UjMfSV+rOiErfo0Jo6tJ4qDTIXbMxvDjSyY6x/bcLtYcxfCR xlq5UCaqM0pK+UmdyzmkdeLHGybCzpn6nDAidXKH7OnCCCZG7PbxcZ0dRbLA iHVfNBMlTxsWJTiSul52645cFhNeYdwxZyJG4a7lHZHSw4QVQ1cygOR9jcXl M7v7yfOnKz28uMew+Zau6LdBJrRLPog+WDqG0g9CL6JGmZA/uTTUZzXZR2ff +TxnMbFg6uvzd8cYvn5PvXZdcAKl7MgOBcsxVAn3HZRTmIB6+6ZH2fljpG7p NEV5T2BD3Jq1zsHjeJx3MN7UdwI+W87I3Hk7jvEvcj48/hN4LhRQdpvs13mO gvJXgibg5Vsh6JAwDmvemsA9byfwuLnPbH/5OL7uNdfMTZhASOpEMj83Azsf X0pt/zeBJyYNv82vMhDicPJpUPsE1trSj8U7MrBgom2tRp1ATpPEfvYdBqok twt/7pmAmo2I+l1vBm78GLl2bWwC7guS/rzhDKRQbm1hL5lEwEklvT1EZ+KF NuzvSyfBZ5ow3VXDgHesWa2lwCScReR++RPdnXBW8vgjNImK4fvpKZ0MTPHP tT4Wn4TFEq1W+xmiW0WvYNE9k5j84Vt0YhMTDVaiCu/kJ5GTPNfWIc3EzYC4 xg2Kk9h8U7Xy9HYmvnU3ickoT6JvxCBiuzwTEsE7PigcnYSNlqif9BEmMrPz 1DK1JuEl9IVXjejMbNCs65DuJMbEJzYY6DMRpOa59cjxSRgzc90OmTLBNdbw 3fgUsUf0Q4SNNRPh4lcNGs9MYi3fs7d8l5k4qMU5dspyEtauvdPhV5hwIqda WU9CcGUrQh2Z6NF/kHndfhL5E6mdxe5MeLqsPsO8PonXmap/Bz2ZkPwUM3f7 5iSUL+4dnfNm4iS7TtX9ziQ2WLZr0/2ZKIvZVvTUcxLtL744cL1i4nJD1mUh 70mEnpXY9fY1E4u4TPhePpqE5os5/k1hTKiY39cPezIJZo96yMx7Jlq8VtIl A8n33YI4dKKYuJ3wNSjq2SSeTQlz+X5iIoGntjYmZBI9Vl2a5UT3ensv39r5 ehJdV1/o1sQy0W8xJ5L0dhLaSw5eLPjOxKbUracy3hN7Y0vPOCYykUX9Nasc Rfy/7gd7ezITp5cZvcv5NAkZwwiFmhQmgq3vUYpiJrF7mQZHVxoTu4OEPHW/ k883lZoYZDBR8fOzVGU8uZ9rf/nnTCbseg8WGCUR+9VGdQd+MrFkZbVNQ8ok pNP8f4j+ZiJSxYb3VNokVI+VDMuTvITdbHRbxiSEKGuaD2Yz0foySPf8r0kc LNU6szOHiTu5W4a7siZRKvzsjEAuE6uGMwMu506i3Pdxdj3hxLXHdw/9mYQ9 Tf7K4zxSpzS6qx0KJ/GvafKI7B8mBhxcbzKKJ5F1OELhB2Gft8tX3y6bRJC0 zebt+UxIFX1MZVVMQq95eNKfcM640sn7VZO4v0QjpJHwGYnKGc7aSewooA0s K2BCUNTxx8/6SVyOf/l1N+Hclatv3GqaxIxtpswBwk6C6XK7/k3i1ichA1nC 0ktP9/W1TeJt7tQCB+Em7vmoSArJLwObDVnk/Y/n31ue6ZyEUuDEy/OElWfU 14n0TEKlr+3oILGXzuhpqOwj8bGYET1NOHLE77nf4CTCF/InE8h9TfrljqmP TELD0KpgiPhjSVfl0rnRScgmh9oLEk5vdyxIZRD/5Db8W038ade82uP65CQG 4vdOcRF/r69LV5adIfa9vx5bT+LjWTKf/G5+EvKv+55sJ/GTz//gYMY5BR09 7hdxJN69WRrbhRZNIaYju1Mknegt5XGk19IpRH2/LPGK6GU+boeFisAUBPpS e+KSiD6jq0SnBaeQcPZaamwCE6sjRJ5dWTWFAomQ3SbfSB94naG3Zc0UfK8L Zy8Q/boGn+HtEJ1CucKy9UFfmGj3i3Q3kpzCnnKPNZaRTHx12mmvJDuFi0H3 O1JCmDjlUL2NITeFkJes394vmFhm59T9bdcUxg5tlDwYxISjZeaZDfumcGnr f4bGfiTfdY7q8qhOQbfk4MR+V1L3NfqX5KpN4eu3WOsdzky8x5M81yNT2Dcq dWAJyf9F+2qURnSmkPfDY81FWyb+SlrI1JtOYXTLQknjCSYeiHF2BZycwqOb Rs/phkzsXf0xQuv0FCo8UusH9ZgI5RsQ+XVuClqme3qfqZG+M3FrcdSVKagE Ca96KcfEROlT2nWPKXyaj9nhMctAK3/9ZfbDKSjme24/McFAnp44/ZHPFIye n6tdSWcg6G/MbLg/8ZfHBUttGgOyNUWrKl5Oga9BRiWCzAkWzZya22KmsJDI 82dJAAMaYtoVKd+msMr94Ii9DwPbTwcZq8YT3l3JlXufgelWiXNmKVPg5l+q L+XAwHPKQRfvrClwrk7R7jzGQGHvrVhqzRQ8CvLGbMnc9k3m93/X6qcgYbU8 x42TgRe2i9KnG6fQ/vW9gdv0OM4NPs9f3jaFM6++K6v2jIM1Et92qHcKPC9v yjfnjGPXZP/yN7NT4JAYCLnjOI7QRRZORpun4XhQ71NQ8RjmL6zZVy09DZk3 935/+D0G6z9VEwbbpvHaOurux6Qx7PZUv62/cxoqnY+/upO5unhBxlVr/zRo 9qlCzx3GMMViuKvoTcPK/lCB0coxnBjz85d1mkZT3J7mJDIvrGz/EcmVP404 zXapENdhBAi4uaUVTuNNQ8q2RIth8B3UOHm1ZBr82mpfy9SGwRVas6zh7zR2 Bi57wMk/jHFD+p3o5mks6WHEerwl822BjMFx+jS+HPfefOb3IJ58fzv7TmwG ay/vWR/HOwDeVqsGo/UzcNfROtY53A8vPtlEng0zKHx8f8n22n7cvZRuc2PL DJwt1I4x3/XDbmN9tcbuGSxyCO5wk++H1kvBr4NHZhAetN6v92IfFrt5mCjd mIGXgNKG9LYepIwNzWTfnEFUZPRMXVEPrG1ORhx1noGsuILUiqQe5BvsGjC+ O4NX0qnVNJ8eeG1qc7f3noF00M/j3Ht6sKh4f2zU6xkEPMvkuhvQjRTlj8dl w2YQvGhO5ZNrN6wTl08mhM+gPfsse9ymG/lvelSzomaQ+c1bkoVuPLwW3ND0 fQafXf8rzmJ0gWvlKKdg3gxyZV7GnLbqQtKj01+C82fQ9S/9b9vxLjK/F+qt K5qBhYmt6yN0Ia/73SuZ8hkU78s5ZLS+C57pujvUG2aQd7NwobSlE5wWX07e GZjBtx0/r9w424mEGuH5+aEZnHWdO+p5rBPnNO9HedNnIG/fcOE3OpGz23Tk OXMGo8c5qUmbOvGAm9vr+/wM3G4LCYcP0MARbRFPE2Zh6Kghy8+ThsKhRvuI 1SxUBP4MOHqLhie7DXeeWcvCia8nzBQu07AmXf17/XoWfuldSYo/RsPOIpnY YhkW7GLNLPkkaGDyRdp5b2ehJkjf8bwwDZnH1smq7WThP+M11MElNBxpWBb9 cy8LZ9aV5LwZpeJM9/jnOBUWvnWwPlgWUrFp21WbK4dZWLniTebxX1T0Xe3e IqPBgtGNP81OSVTcZDZ+/KDNwjGV462mEVQ85v4dGWzCQqvdhdN37lJxXFPB ytCMhdKZQYkFRypE/OM3Cp5iYW/ph7XpdlRECke+f2TJgjL/w005p6jI2Pgo 3NWOhRnlMOPNh6i4f5HDQvEaC6beKq/3K1ChEe2ynunAQt18V7nbLiqqdl8N u3aLhS8VTxXfbKIixKn7tOwdFh7I5C65IU7uk26xrteVBQvnc8zbIsR+GL45 94CFEVGK5mp+KuIelpqvf8iC37YexdjFVDgVqYu2eLPwmCvm1HUOKhaOKYQa +7MgXvxP6dEkBSIW60KOhpD7mk7zUbooaP0QbMr9mgU5l6XafRQKIruXrc55 y0LOxgfP1rdRsOMaR7DSBxbK5d4ICjZQMJ7gYjwZRc4LrPxUXENBOnNcOPkz C8VZIQLxlRRo3Ot+JveN2F8sMjdXQgFfjoVhfxwLY+vl2i4WUVDF3bTicyIL zJUvlabzKQjRNKyySmHht1FNRkoeBaf9SwMl08h5YkzutzkUbKhUN2jNYEF4 PPxXTBYFPcK/BV//YsHResWjzl8UfDuh8Nc0m4XwGqnFR35S4Pgm/qlwHgue JmaNfzMoSGO/eZSXz4K9xwlzn3QK2BY+Ho5FLEQOGHBYp1Gglnvj7qZSFjRf bbW/lErBI6mzt2rKyfvfBar/7/8By721HDwrWXjdLrChPYUC4b69tntqWKDV zn44TthMR/ICrY4FM5uXNr3JFIR94zv7vJGFNQ2MpZGEqYKTJ9RaiF6/r9n6 gLD0Derx8Vbi/9whMw/CV2rLdSI7WLBWNdj3iXDCvnQNIxoLvGUrzAYJT7yK UuHqZmH29ZyxMTnvACtgf1IvCysSqbmthB+ccd1jNcCCtHjAvkfE3oKsi3LC wyzU7m9XMyL34dtoKJ1HZyGe7/e9Q+S+xx8qb3AcZyHkjewtLeKPl91bxTZN sPDj3OHfjsRfLZorV9VMsdCVfrD7ZyYFkjHzyzxZLCSfc7knRfxtLTDAs2eO hVUc3kLRvykYqcqZfcY1i19lMlcEcinYu/fbxOHFs+CQ6dDqJ/G88/IVfYxn Fs5ysSdoJN7cp+w7DZfNgtX/WW4r0YfWL/M2zhWEu3bwOpZRECBxpDFReBbn wrwONFZQsLZzXZnQ2llkpez9M0L0dvYIT0Gu2Cy2XKnf+r6e6PXLeNaN9bPY f7x7wbaJArmrJUnVm2bxLrZ4w5F2Cg5POL95tmMWp9fpf+EfpMDHzCr48O5Z PH3FuePmCIlvhn7A2J5ZGKycOkofo+DE/c2ehvtnccjCRlVqhgI7nhpbIfVZ hE49u3WVl4p4298Xco/MYufg9nI7ASqYZV/P3tCaBfubaa7LCircg9wNq/Vn wffKybdoLRXBojuUnp2cxakoLf9VslT83u7LK2Q/i8ht5w0WGVChULem4vl1 Yk/cTLmbMRUJ9748W3VzFly0tNp5M1JfKgrF1t6ZxR55Hcrq81T4OizeIek5 i2MKxzKf3KTCKNnTcEcIsYdn0kbjNRW9B9zeaGfNQnp/tNuWbirOdQpYluXM gtGWwPe3n4oW/zAp/T+zEHvn33VjhIry1p/fjhfP4sTtv2tjpqhIus/KMquZ hZVxRkfNUhru5d3uvNgzi22OvyR+ytEwYcfztbdvFpM3PGfpu2mwX/nqqu0g uU98LUVsHw3nrVMnro7O4lGXZaDhIRqOLpngcWLNQuj93N4D+jQI6TjKeQqy Yf7lvFqGHQ3vc5fzHxBiQ8/Wn3nLnobdSt/7x1ayIbn/deJGRxqOyfR9Pi/K hukVzmVHXGh4vMRi4+HNbJhYLmpJ8qFB9P7swrQ0G12nhu06/Gj4OhHanrCN jedcdbHTT2go6qp9u2EXGxcaS2VHn9Ow6I+2CMcBNvZ8Z/cPvqPhxYFeZpoy m/Rnv9/O72nYlORV6wA2Yk8Nqg5F0qD6ITuoQ4PYE5jnGPKFhsq1Zx1eabJR /y8hqTSaBosglr6BDhsaby4V9MXS4Oa+jz/bgA3RCesQajwNAlM1/c5GbLzL ZY/9TKQhzP568U5TNhrNOE67J9OwvWfZlx4zNs4dqIra/oP0t7Ox3uGn2Pj2 n877nFQatOu1rE+cZWPermSLSjoNTXo9aoLn2DC8J83/MYOGyYMbOe5fZKN1 4NhJmf/9viQ5q33fZTYO/nfo1tHfNKzafub3sB0bgtePndHLouFj5MzbT9fY oHaVDipl07BX7JXr2etsLN3gzL08h4a8Z/Lmq2+y4WQQ4FVG2GhpjWLFLTYs 7MsM//f7EuoDBxHvO2zsPmVhwCJ8fVpgQvkuGzp/6VZX82hYcIipZbqxkakR cbOAcECvZtK3B2xE/OK0W/yHhvWW3UHWD9lwubRhtxzhbw2eDuI+bMgfvJ2o RPjgsQ3H6nzZ6LjCaNlBuLTgt9wTfza2lI694SV86tBpfo0ANg4vPUQtIe/v T5nunw1iY/Mgf8QNwnfkQoqTX7AxY7RQuEDs4/2498uVEDa4sEHfifCrddXe Uq+J/7+2SVeS+0m/sLf+95YNA30+3RWEf/AJqL8IZ+Pk6ZZEReIfDc/ojbof 2NDko5ocIf6rnTnKwf2RjeC1gruUiH+tbnS1Z35m49PuWOWVxP9jfR6/HaOJ v/eb363NpOHBOckw2W9sDHktG3Ah8VrR9MuVFscG5gT9lpB4RhicMn+TyEb7 eoa5S+r/5p8pRaMUoofBN5Y1KTRkqbwU4Utjw7lsV7gQ0Uvrjqpal19s/MgU b1Mj+ooYFHLjzmaj/77Xx5PfiT3RxtJPc9nwdBZYdpLosX9z4533hUTfkmWd K4l+v9HWbpItYWPAzeFi1UcSv/enypLL2Ni+gi/emeh9cl37+qIqNqqPF5Y+ IPmR2SxZdLyWjTsXLqZ1vSH6fnX+eks9G0rx9Pd7Qkk+rezOG25ho+6JQPQT kl9CfEOXVnWzcax30P4gyc+6oh1C4b1svBh0khgj82Cot0Pm1gE2qu6pnXnm ToMEJ0PgIJ2N0PW9zc/u0CA3PZN4foYNo/Vtl17akvrRw8OOWzYH0/H9Jr81 aVj6UfvT/hVzuDVb7btVnYby8/7H8oTn8MlGZMJNhQbjNsEP9WvmcFn0HIMu T8O5utVH2RvnsK9UQnRoAw1386SCtBXmMKcwsOjCBBUqDy4q1e6fg0y0i8t7 OhVcKl9oZw7OwbclwLCc1EvfDNl911XnwPud7w+9jcxnCf+1hOjMQWWDeqNt AanX4djcZTGHo5f70/SeUcFwZfCcPz+HmfG4/I+PSX03+zLYdmEOIdEpSiMP qfi5fHly4+U5TApFj5k6U1H4oP1wmeMcwkIrYu+R+fGflZtlks8cRmpY7zU3 ULFk6883D+LmMBb0h/dvJOl/8QpC6+fnoKAR2VyzqgOpp6YFqzjmUaSQVf6F owOCSzIFHnLPwzxOWOHKUDtyzhzi7eedR+0Hme7ff9qxiU9jIWXlPGhdwREv b7Sjx9pwWG/bPJpOdntLlrbBXuxqyT2TeUjtm+34Zd+KwoIdRbvM5uFU3fHV +WQrJG/Q82nm89jPEzIuodaKqiLHHC3LeXhVOXocWN2KPbdc0lbZzWObiPHl 15n/MFXp8+mb+zwyHnrd+Mv5Dw+8P3i0xsyDq2YuwvZBM5bd5tE5/30ei9VV w/fZNuPN5WvCPfHzqMn6pjVo2IxkXaUoegrhGvopYalm9AhV53NlzyM8KUbq aH4TdMM5eLfVziPx0r9+BmcTRNIsA27NzuPMDllH90sNiPpacII1N49VCv5S 2XoN2P1mu6Q7xwKeOu/zafmvAdpuU/G+ixdwdHvE7IfZetxTD6x+u3wBYTJr /rN6Wg9aZdaqPKkFXKP21yyPrsP3vvVvBfUW0LFccvXFnzXwfed9rv3YAtb0 Vr8tD6mBtdHwljjDBTxuuiTVeaMG4r9+JeibLeDbz7enV2+twePA04VPrBYQ 07mGYfS0GpcVXo/xuSwg/j3/HW7NKmgMcqS13F2AZwzHgLJ4FSTfX74Xc38B xZrXrjOolWhYup9Hx2sBkwtfr7b8V4kjbQ3ifoELKG09UO+SX4FNXqu0eD4v 4P2Zw3NzMaWY339vWePXBWj2RxpWqZaiebiz5nPsAhY3jTU01JUgyCz57NHE BYxvSt4lNVWMBVmjm96/FiBjp7k4bmMRWjoy9ptmLyAxVKBM8nMhUoM3zm/O W8DC1Piuwq2FsJ8f9c0vWkCbgktq78YCtFYHhnPXLuCuVtAzx4E8pPtMXait X8AqnvPDgYZ5CD5ouS2qaQG+tE+BF5NzoftpZ4pa+wLe9EZtqLHOgfSpEBdh 6gK0bqWcKrmYDa7l8yq0zgUoKPlXSI39RuadihKP/gUM3XaLtivNRMiOfYGG QwsQmY088H5FBm7Qwkw20hdQz+U/nLovDXqvFomNjS0gocjJe373D8joXe3I YRJ7PdY2bpxIwiLOuo9BUwvIOy5yMOFKAig/DtqdYy2Ae3cfZ311DH7ZRe3a PbcAK5EYobKpSLyS5J9YWFjA//++//8AH4A9Vg== "]]}, Annotation[#, "Charting`Private`Tag$5524#1"]& ]}, {}}}, InsetBox[ TemplateBox[{"\"U=0.2\"","\"U=1\"","\"U=2\""}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{#, ",", #2, ",", #3}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.01}], ImageScaled[{1, 0}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->NCache[ Rational[1, 3], 0.3333333333333333], Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox[ "\"\\!\\(\\*SubscriptBox[\\(E\\), \\(c\\)]\\)\"", TraditionalForm], None}, { FormBox[ "\"\\!\\(\\*SubscriptBox[\\(n\\), \\(1\\)]\\)\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.2, FormBox[ TagBox[ InterpretationBox["\"0.2\"", 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.4, FormBox[ TagBox[ InterpretationBox["\"0.4\"", 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.6, FormBox[ TagBox[ InterpretationBox["\"0.6\"", 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.8, FormBox[ TagBox[ InterpretationBox["\"0.8\"", 0.8, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.5, FormBox[ TagBox[ InterpretationBox["\"0.5\"", 0.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1.5, FormBox[ TagBox[ InterpretationBox["\"1.5\"", 1.5, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox[ TagBox[ InterpretationBox["\"2.0\"", 2., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, ImageSize->{861.7031250000001, Automatic}, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 2}, {0., 0.8138650363163404}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV2Hk8VF0YB3BLyRYRiZRKm0K0aFM/oRRJlvYiUtKikpRKUmhDu2QLSdkJ CRXZ10T2nRkzc4UZy4yd97z/8Pl+5s7cc895znOe5y6xuWx2RoCPj+8b+fP/ /8CouVJMeT6wWnQqaOL3MENP4UqbvD5W2GbsOtAXhvXv/YOS5S0QHsToe3Es Clc0JM18Ik5AKCfqab9uPDz1bEpeNtqi1fmI75qdX7DMe+HHaSV7KCbOli8Q TsGE4em31iscIP5a0O90fyqeFrz8t9n5KmRvSl+oC0rDYdvhHy/lnTA/kXfE xCIdeXoKablBzii5yvz1qDkDGsrbE4eUXKAWtynFzOQ7ggRORS3/cBth8zyH KhJ+IEp5Z7Ga0F18rzztMMT+Ccstdk/OP7wHq2LdZLut2QhdOzPtSqQ7zp/e OeNEXjZWZHMLhuruY6qm5u5Zs19oWftQz0feA2e37POYQ/uF6qVvZlcreOJQ /zYpD/McGEpGa/8M8oKB3DWz9cM54HPbln6o9SHSdUL+nb2di3lxEpLzdR7j rfOLo8XCebhoafnlofUTPDmsOe7tkoelv9nqiz88hbfVloTxwTx8tmzfEVHt jaGZjdbxZ/LhGye9ynSFL/pUKj+8as/HroUREZTdMwzIZFrKmBfgbkHAnF8W zzG55BhDJ7cAR+/S9vtwn6PDJ+PlVs1CbNBS9Tnq9wLBgwMPFwcXQrLPqXT5 ppfY+NJQQ2JWERQ8LZ2FWC/BF75v8oJLEfJPCu35efMVbO/4fj1TU4Rztjoq UZqv0Ra+KKtvTzFul7/NO5TxGowRIStuUDEOebYLKB9/g6H4YfXTU8XQ3K6y kz3+BuvSproOWZZAnHvVLTPID9UZMnvav5eAGZvx4+H2t3jREbFdQqEUx6rN 11ky3kLk2lSR661SBCvu27rYzR++e5a+9flTijn6XfG8le8wJCYdcE69DObe LV+/Zb9DR9j29M33y6Cuv4LrYR2A4bDBqmMNZRCZcFhvKhCI7c3Hq+zWloOe nHZ14YdARK+6ftveoxxZF/gSKb0gOOx8d+tcfTnWvXq3LLsnCFePi97zWfsb zk0vVO97BiOj26bOzfU3TF81nt+/IgQVA4bxn37/hqqRcpRCYQgmBOw5/xZV QFjwIpNh9x4rX4YZmDtUwCp9KinLIhQ+aV4BZjP/QFblufoRvzDkWsi5jwf9 gbtw8srH8hGwTgq+VZpZidUGLx59uRKB8O77F5d1VKLK8zLVVBiBeIFdISuF qrBMUDVG3fkj1m92KdtgUoWCyQj16qpICKyLsgxpqYL4oN9GJe8owLunT673 L/xbbumlTpF917jkiX1bDXYqHo1oPZgA0xKRicaJGjREX088nZQAzbg+m1cL alFSJpo8XyARD4xtjq3fVItFPS6n49QSob3+SPkCi1pcttdazteciMuHNZ8L F9RC2jbh88fNX+ATE1mlHl6HI0fDEjj9KTgcGbJxOxrAbrIQDVdIhabLed2D hxrgZSl8xlwvFSm7+0rNLjUg+fRlha+vU9GsuV1qOqABEg7bPW9v+orlMkGr l3EbkH+/4ZiQaxouzt8vUh/RiHWxUkKKwhnYZBi39NJgE8Sm3U8YLMqCqsS/ wYlDrfC3P2ypujsL5vF1Mz6fa8WyatVTUg5Z+Fp+QUH/Vit2RNWdbvqRhaT9 NWkmwa1Ij/JLTVPPRpJ7ybm0zlb0mvd8N/qdDc1q1wUt59tw8PPb0muzc5As IMF7urkdy037WLlP83BcREAlQrUDCm4GW+3C8hB+ZaTfa0MH5sSFPhVNy8Nb yRMvTmt3YEzYXN20Mw+hp0Kuie7rwJ/stGutm/MxYsgNl7zQgVsa7lMjXfmY f+ii+dSnDvyWlJFR1ylEaLzejZCFnbjxewv8h4qRJz9QqzvaCbkUqVZ+/grU +htOVtjQ8bVTr6xCuwqxLvLNwfFdyDkfvOBoTzXalf+6c7IZSKYuXLDkVUPz m5Otfx4DEee2Zp7mq8H7xPkt24sY8Dxbd8xBpgZJZz1fu1cwsMdGKuCBdg0e LnHa3NPCQMVRz/nx3jVQcd+3wWSMgeY9l2QF1Wpx9FdXipkmE9wV2yXjLtUh TEo52t2fiR2duoVPbtZhpFC3tD6QCa/gPW7nHtSBvoZ3WO09E/NkLNjK7+rw KLgl7fdHJrT4L1QE5NVBLaMsZuALEzeb/J89WlCPY231GtllTEw8G5K0La7H cm/7vzemmBAYjZmzYHkjQoP35XgdY2FBue4g1jYCNQFbpE6ysCGsocZ2SyOW K/4NfmfFwpm9swLjjRvB8ly9NsKWhaJ3Nst1nRtR/c7eI9SBhWdb5bfaFzZi Yc49B637LCje8TqdZt+Ey+l9hY2fWNh4YOHu5mtNMI9c0KQczcL+ZSmr+O82 QbFX5d/5WBbcyjp6DV82YSTph+BgIgudittvtmY0YeebM8r/0lmI+jHoPVO8 GYb/Kt1ul7KgNX3qq3l8M8waf0Qq9bKwzzj7/q5vzYgetmQvYrNwOlDJZFNO M54f6zio2M/C802tTIXaZmjxxl2luCxQl4/Ld042wyTiiX7XBAtB7QfvXDFu QUaR2+g6cQr8OYa6Pj0t+N4686S9CoX5c6Il3HgtUBOtElNbQ0HdUqTpCl8r 3IeUaX2qFI6NFV6zkGnFqJev+CUNCinrdn1coN2KH2eazcw3UTj7AcLRT1tR NdzQV6hPocxjw++C1W24U8A4am5JYatkqcCLjW3YGviRb8qKwud31puO67Th 3etyr0hrCg/ifUPZB9sgefv9un5bcn09y3G+exss9RWkLl0g168Jljtf1wbp hCXq0zco6FL3E4V023HDPXDA9xkFF/XfJRcM2jHnQqgC7zmFxGvyXX/2tWP1 ft01x19SWDSVIB94uB3f0q1nKb2hMCrdcn/tpXZsPiD7xSeAXK+96eAR/3Z4 3xiYNesjBaXn/0aj+tqh0XzA7MI3Cj+t3aK+DLZjFmvC9U46Bcv1c49mjrTj snRdy9MMCkG1W7+VCXQgLSBj68fvZD4XPnFmz+vAkkvxl3KyKUhHrxrcgA4c rvrZGFlEIen29/Dt+h1QLOUeDyymcMD4gNnuvR2QCi2e61tC4RnnRtJh8w6s yaxf6VBGQXxT4eVbdh2opbt0zf9DYWbemZ6sZx0InRyunl9HIeLNaGDR6w5s jznyh0Osb+djVPmuAwsNb8worKdwXzQ1uvNDB37cuSjn0Ehh6sAM+5nfOmDU +O5fZAuFkZbwLsP2DiTf0bDLpVF4m6D1xryrAwGPIibu0ilouZfon+juwGV2 fNnmLgrXlw18uDTUAeNrg4qfGBQGzu+0eS7cCVnN5e4OFIV/w22tNRqdcGCG OXzuo/DV7lmOoVYnHu+Sn3mQTeFe3Y7IrG2dUHeLfzRNPC8t+FLU7k7skfp8 eH8/WV/n4xN3TnRCon1c7u8ghdkM0fZ+607MinqkcHmIQv3BjNyzdp2wKZMV E+FScNgo//SAYyes1wV91eJRCBiqlV/2qBP2KzdudRmhcMbWa9LfpxOpX8IT ZoxS0Kje2DH7VScGH7bO9SUuSH79eTi4EwtXLI0KGKPQ72i2qTS5E996LosE TlDY019u4dhGxr+AnrKZrxtzrV03M+mdKGKOLvlA3PpHVfFEdyfizXXcxPi7 4ZT4lLaL24nynDjRWuL3l/c6yovRUCWrbGcm2I3zbSMHfefQoNVRdziWeIPJ 5y2C82g402K+ZcaMbpSoz+LvXUzDjSLm7zhiXm/es2wtGp4sstzNmtmNXyed rm3UpiGGrZqlKdQN73Llw9E7aZAz3qviQrw07v6i1/toJG9EVfLP6kav4joB ETMa3GPF5ugRf/Pu6HI9TMMi6VHcJza+qBNnZ0PDp54EpzHi+c3s5812NGia +bmsF+5Gp9F7J9NLNHwM3XnlPPHNNVPbtt0k43dZtL6KWC8wTinRlQaa9oVp AZFuSIidFFz+gIaBk8k/NIkjujNLJHxp0GfZz3lM7PDWRPn8KxpSnZL/JRJv 0qfdzvenoWzHlrJaYr5+5+rFITQI9Ap9GSMuCRZVu/OBBreRlcGKot14bRji WfeZhl9xn3y0iS2HNVvXxdOgo/biwTHi/gNHn1HfaEjcUO72nDhjsoep/5OG sys3en0m9oi+pxOaS8PWTM2XP4n3H5Z5N15Ew80d5R+qiOfP+Nx/6DcNF+qk MunEnYnbDL/8pUHEU6R+iDjmZEX47AYyX0o/xwTEyHqLnh4/10rW4+gWZUni HWk88zwaDdrZHqbyxMK2T2KVKBqmM6M8lxBXzVk083YfDYUvkrJWEgf9SDpZ O0iDxemP02uIz5zf9VVzlNxPw3eXOrG6XIOEzxQNkTVOL/73SO5FO5YgHeJS NjRV4pwrfNl6InQM37XcpkLsvfD1/PcSdGQHOb5TJj5UsvLq2Fw6FhdHTi4g VrqRWXxQno4BfcFz0sQsZZOlSYvo4NvwvF6I+Mufzlviy+j4EXzQZJQ87x1X 5792KnQscDheRhHvXi2qmqtOh7lzlEk98Zy6YI9FG+iIvWTQkEfc8ECzxWUL HRYD2vYJxOEa+RtrdtCx4smL6bfEF1uO+Gro0+H5YV/QXWKtJz2Mp3vpUPO7 jtPEfJvugbmfDpGIudQu4hLaXH9dC/K8Y2rvVhC/ev6JE3yUjtlJpSYziVd0 /w6zsKVDYHfcn+8kXjh+NmMJ9nS0jEwFvCHO0OOZiV2mY+839oWLxMbBC2fk uNDhYF68RIbY6cDFs2uf0fE4fl6rEYnnHZPTP5+8pkO/T6FVhnhW9Cs5xjs6 FBsH6E1kfwQIZhYFRdChrLtpli3xr68ia0Qz6PAqzA05Qfbfk9PBD85k0bFs oVytLLHFHM3m7Dw6XiVdkSkn+5dlf8TnRgVZny8mkRuJJRZ+YtPpdDgZXFJi k3ygc+hBC42iI/Fxu1MIseMzq9LOPvJ9G8O5+4hr+ed/ah+hIz553ppwgW6E MB5ZNot34bXf8sItJN/8UTqzr0mqCwarO2ybSH4SOLpza+O8LgjyfhjdJj5b Oipbv7gLcSf6h1KnyXmfeL7874Yu8GW0pM6bonCK2p1ZtaULX8V2BkdPUni5 VDmqckcXHrkPlmsT8143eVTs6cJVVUuxEyQ//nTZp116ogva4aM8T5I/jfXU Y3I8umDlJPv2IcnHd++Ivvv1uAtVxTfm8REnpjK8sn27EHDSr82Z5G+ZVe9t fvp3Iat2pYkVye/N4nMUMmK7wElwj1gwQOFibf+jpOoueBcUr9XtpeBtn3o2 dBkDJ9ZmzjHopNCtE/dIbDUD+748j7/ZQcFg/sdo57UMfGu8avi5nYJA4eu+ fVsZUDeJuMPfRuqFZU7OoyYMLJw9XRbYROqXtnVeZrcZqP+Tp3GlmsLOg4kf Z1QxUL78VYZ/HoUQ1c+Fl+sY+BPcvOdJLoUJwVCqsZkBwxdh9S45FL59eaaW xCSu3jRpRs579TmXU09OMqBiMGLZm0mRc14t/+sqJmS/RUbnfCHzpxNDP+fG xPgWpVxOCIXvEf8Cb3gwcWZ05pr0YHJeC6uaez1mQimV2eQWREHiT+yvD6+Y eLzHQ16Y1CsrrOJDWj8xsdY7WXQGqWcOuSYdsfjDhKowZyLqCYXU9LQyLGEB F18vTHSicGvhyIP9K1hIb9m+WvcaBR33zdtOrmFhedfBx1VXSb22Jz3q1kYW 6dOO6vQ5UKDXZXil7mXBbGlmkJQ9WR/eD501jiyk3Iy8KHySgtO6vJR5uSzo znyZnK5H5m/D4tAXRSw8qLrQMLiTwhGtO0/Ff7Pw28ZAXlWHwratG2wEGlhY RKl2+2mT9dCNkOzrI+Nb+ZB5cCOpd0w9zucrUGA/2i19awWF6Cv6i50cSRzk 6oxYz6LQFp/3tHJJN06VyjOHyH3Hz1cHqtz6h54sg9J76iys2Tlr6mxmD/Tb dZuekf4iMTpmZX12D/4ZugqK+jGxQeaA6d6CHvjoxrA9yDxqM/0j1lT2QFbe YrOrLxP7fVYbcRg9EKBP+d4k6+DYYOzvIt2LFqewn+FXmEi/+nqdt30v/Jz2 Gs42JP1L0+YTkw696DG1Nko2YCJHv8XTwakXSQOZVsd3MVEit6LhgFsv/kkP 9yfpMNH8I81N9k0vZp5aLXlrExN8ok1lIdm9yG6K5HdfzoRB+BK7JLk+ZNxy H8kVJOP1l1hRoNgHBQm7CAY/E4t9x+mNS/pQ5dz2UJyPiTGXGpsZqn24H6C1 1GaCgTjTx5aHdfrwMXGwZSOXgbn8/Qcnz/XhZFLhzsckLvmGW2SkHfrw3rA3 kt7FQE9Pyd8V1/qgXlrE06MzUFAfYXrAtQ9FFnMfSHQw4JJ4xPjDiz6wX7g9 qG5koM0qW39vRh/4po8lqpH+r+xgnKBlVh8ucR1oZeVknxkF5Djm9eH5yzPx V8oYeLnJSSfodx/yYbyxoJiBXZKrtNmdfdivRFOOJv3lupmy44KsPvwKPL3+ ci4Di8b5M+b39qGs0GDNlhwGRhhNm3SH+7BNJ2usKYuBmJ/P1r8RY5PzUmmx ZSYD/il3BqLmsFGxZuFtowwGOc/tk37KsqHzO154RzoDln56a1lKbNReOtu6 Lo0BKYfh1ds2sNHw8fOpE8kMTJ2mUyZb2Ljl+WG70xcGuo9WfrbdwUaTx9Fn L5IYyNsVs8J3DxsycYYJzQkM3FhotbTjBBtJXmmxqbEM2BzQONRszcbCk+HB kzEM7H/A/6TuLBunNy8UNCJeQX3oL7/ChmrFCT1eFAPSiteXF19n436Fh4oF 8eT+3UfzbrGhtUogMO0zA9UprOwMDzZsEro2PPvEQDYzfSj1MRv8hQfsBIlj FJ6uSvJl48uA/BbXSAbu31N7/smfPN/WxjL3jww4JE/lhgezYXXv7Ftx4qOM iuHgcDa2brklHRzBgMY+R6vXsWxINR1SqfjAgKKb3qtnSWyMCWiVXSGe9UWm 8MlXNlwOFKnNJx6gd415ZrLB4i40zQ9noFUuTd09mw2xg7JbbhKXGD6yuZPP Rn3MMZYGcarrUb8bJWzEFNhZs8MYCE1cXeJYwcbMbw8ik4m9aeOTl6qJ/XLS XYlvzivXtG8g8799ZrAx8em9IWdsW9koVRg1VSbef+fyOysaG2Ejco1ToQxs TdApP8Yi11d/0monXtEpxX+olw2l9IxzhcRSsrQNpgNsLHivfjWFeMIg5dy+ YTZmm8cd+ETMuuUZZDBBnt8mdlYocfehNefC+DjQEr/kF0J8ijNXQEmQg0Ht iYlw4trHE4FBMzmIeLxuWxyxkXLXRgVhDuZrpRz4QZz9vbzirSgHqujX/kus deirvexsDmwvLJ/uI45lhwi+kuTgg/URvznkeZY+fhg8R5qDn/kn+TcT+y+9 sslXhgOJ4zU7zhBLfD9SKSbHgaLaGmN/Yo+DOy88lueg7sfb1ZXEo30qM2cp cjBz6+IaSTLfDo+k33ss4kAj2c/Qgpi+ZHyzwBIOHlkFPAoh/mNRdnFyOQf3 Hhab65P13N2XInR7FQeHkzc1vSf+/jA4dGQ1B0by6Ur8JD4+ZThUD64l97M+ VlVNrGhx2OHqOg7elK3bYkDi6WUvhNkbOPAwe74/i/juYint7i0crH2q7ZRN 4nEofbTGTpuD+I8Ft/eSeD1v3nm5awcHruHGi+uJD3olf2jX48Ag5LeqEIl/ 1Z6DYnXGHCSvw68Isl++WezLenKAA7XVXrn2ZH/p/dC9tsOcA22RdWob4xg4 5ru26eMRDg49rpzXFs/AYw2RGKfTHNypaz98l+xfmXfTlqvOcpDv+SbmOtnf ofw86eZzZDwxDkuupZDfr+q8pefAgXj6KuN7XxlgOH03lHbhwKq12qeT5A/H li9T+bc5KJ25tEXkO9mfu6K+uNzlYHjnpkmtH+T35fwUOh5w4DCL8yCc5CO9 9MvdCb4c2IuPX/lB8lno5NInxhEcKCibPRwh+VH1rPwO/k8cPLj77daNSgbS fksOpERx0O3D7z5O6orf7yeOKiZwcD5k9SvpWnK/nbUq/9I5+Fd9yPY2qSuO eT0uflTBgekXSlu1m+RzSY5w3hgHsVHX5OKEmaj68eTh3kkyv3IHR1+IMvHy 4nKhimkO6rvUql3EmZAuOSbYOKMfJccD9prNIfbMn2RL9OPe81Kh5fOZmDMe MLBAuR9fCy7f30PqEnHmruZrRv2I7ki6CXK+zcgKTFAO6kei78hk40smLmzI bBAxGiDx7HC8n9QJMXttQn/yBlDs+GTXghIWNqgu2YHRAYgEeu5fUMbCT4n2 pqzxARjsLuRTIHXAn78n5X7xDULT4+zxuVUsDJ086psrOgjJItkcLqkLdjge uFO0aBB/jGVUb1Lk+oAdR6p2DyKSZiB0gZz/R10nuWZ7B3Gk6Gb+dhEKnVbf X/01GoRJ8k5hSTEKQ8u2VlQfGETDkzaZOAkK8gkbd9cdG4TI00aNOlkKNrmq G5odBpE168KXTmUK3H8Kcxh+g2AfcbKr3EHhdTCzMOjdIIyLWzb4kXplvUmK m3nQIExtVFcc1aVw9YsxOztsEFp8V6427KLQe/Pe78DYQRgMj7zJ3UehaybD 2zRnEEmFabe3H6NQo5Qk8qN3ENzAi/a5pN5yqnT9dY0zCNvdUw5G1ynMfWDo snpwEAdNt3pWOlMwZdBYb0cGwXtD66hzoVAeO6/IUXAINpl5JuVuFPK33PFa JT8EZbps+LGnpL4zNxB8rT+E3JN/AydCKTwy+uapaDCEHxfDlDTCKZzQUxH+ uHcIy63Eu60/kHprvdjsr/uHoOBDM83+SGG/dMW8+iND8PAasjsXTYH159Bq xUtD6LGyf3AmmYLC/rOmEW+GwHPLNZEm9W/vrrq/qv5DMN33xkQin0L29j2H UgOGoJfS/ly4gNR/aquPF7wfQnnRpbrhQgrJ4n22rKgh+AfrXv1VSmFf6fWb qj+H0Ls0IpvvLwW3PZ7vUxhDKGGNq60l9XmV5bkTGtQQRG8eO8gmXnbdSD72 3xDENfvL4kg9XxIm9eoDZwgqyd6xy2mkHh0P9no5NoR1ZwfX8DMofI77eumK BBdpfEsX2/2jMJb7bnXPHC6u3v6pL95D+pHGO0y7uVzE9hd9SyAeENKztprP RUr+pG8/6Se0T1VY7F/KBet02cApDoU/0qxtqlpcBI4VP+sj/chSldKRT5u5 qGVnR94k/cp1xKcqb+PibforcX7SzyhcdFq7QIcLIbH4PPFhCrb5fMqihlzs EmB0SY5S+NpEa/Pcx8VAX7ejN7HIQEEQvwkXw/4v9s8i/VL8Ip95o+ZcDFlH 9Q8Tj9yQF2Wd5GJE15iRR/orQ9+JgtOnuNAsjGKuJ/1XcETbgzYbLtrmX98U Rqxb+XGy1o6LQSudHGfSv3mvXteff5ULD4NZHrNJv7ekxbD+gycXJ0RvJVOk X3ySsy3h4CMubs+p/6xP+smBT6pes55y8arA+H0wcY6jxIYLz7m4onz22d4Z 3bAVrnq2LpALuUtvbj8m/WpZb85ZejAXEtfGb1YTb/ybvN0vlIs+7103FpJ+ Vyjkzb/Rj1xYXbjoHEX8ef1Rg1+JXNg8M70bRfrlOfKGi64lc3GAvuw+ndhl ait32VcuJpmfvRaSftuwWPHDo0wusjs/v3hM/CV+9q2tP7lgfpXz/06s8Hrq QE82ub5f8X0v8T/L9imTAi5+tFbE7yX9vIV+ZQ1/MRezpa6kORF/V8mJTS7l Ij7qaXYwsffQh2NylVwkXpSvpoiHGl5rFv/l4m+Qa6u4aDdOZnkK364l66G9 k1IjVn9i97W1iYuE2SXT9sR+l4/4PG8l8RBzT8yTeNpir61uBxdmr1zkQojP bd26bYjGhY5+nHKq6P/9+BrpSAYXh1bKaJQQb56pSB2muJjwjtRuIQ7tFs8W 6eHifuyJvX3Ewn8m/TL7uNjxQf3QJPHV1L5Ll/rJ812TOS0q1o3GgDZ9pSEu 2DOErsgS6977s6CSx4XFkvE7i4ijz/wauD9K4sX53+PlxNJGX4o3THDx6+Vv v9XEtzQ+hDKmuDjDDPygRkyTfX3Dn58Hep5h4v/vl/aNe+w3nMFD8PGq7/9/ ntJ+ffmEEA8/M1SK//++YsHZiTgRHjwrDGr+/33PmMN/rcR5uGer3PH//fue 74mWkuQhe3Fyz//jO+S8xT1XiodVD3uH/x//z+Orj1yX4SGCWyQw9f/7m50L 1q6U4+F6xLbZbGLfFeJCDfI8XP64Ta6VeFhssvmJIg/6tJ+LS4lP9fcmayvx ULE4U+UrcVFt65O+JTwcGVm+7j2xxvcK69BlPNAah7Z4EfuHZW82W8nDXcmF Oy/8/37pYZLkjNU8PP7yymA/sf3FcEaqKg/SqcbGa4m3bvJ4Lb+Oh9Ysy0P/ SHzU2shrBW/gYWsJk1ZEfM03vm7xJh6SvnG+RBDHdtUrrNLmYZbVcdnDxHuk HL7H7ODhglHUZzXiLm1By7U7eRD0MHH9//3ootdqYVq7eSiKvd0dSeI3IytH N2MPD7Wfeu47Ex/+d5i+3YiHEUHvE/rEz3Xvr9x1gAc7o9V/G8l+EeivjTM/ xkO4aUzZANlfIYoXTepO8CAWcuhSCvG2Pfz9x6x4KBWp2e9E7PR+zQYbWx7e PVao7iP7lWF8L+OKAw/XMu0Zv8n+vu8ie2LoCg/16Qe87xMrfYyevHGNh+6x CMcNxEcmqnXcbvLQJmDF94rkh9JolUKf+zzMWPtq0TaST87V/jwn5ckD5WFV 0M7fjRkCFqJvHvJwtXplvAfxjqN3jYO8eRBSvbK9kOSjxFl//0b78RB/fe3R TdPk/LW9014YTdbTDzdyxyloPJe6bxTHw5JGCzlj4vLMSOWKBB7KV1nyqkl+ FJpbebY2hYd5CYJX20g+vflreS/9Jw8GST6H2kj+PbGoYpT/L4m/uLuVTwYp SMg7pmbW8FAy++DgvwEKv+bKXr1ez4P40ISgEfEKkeMsVgsP626b9gv0U2AP MmorWDxMKfeMHO2jcL94Kjl4iofPynlhESwKG/LCLh/mH4ZFDyOczqTA/Km/ RmrGMPI7hp4vJd6X8iTcQ2QY3u/3rffvoiD7ft6LCzLD2H5mrc/5TnJeOak7 bFk9jLT3Cc4xTRSOXa5UGVQdhtobea2SRgqzzzt1xa4dhquzWjujgYKjVcaJ xRuHUeaZOihfT2Gb4W6jWTrDkGzsnGtXTeG3kuWqmoPDcHM1kAkuI/VNiU/n FfdhpP8IbHbOpNAsVnNu4sEw2usbhM9mUMjZp8h+6DWMyNIFVubpFJ7/jh4P eToMDc70o1VpFFZXFcqUvxnGiM7D8u9fKFg28BuoRA9DZNJ6wDuKQgHzekxH 1TAWdJtZlbyhELvqh+almmFcF/FwvPuawiv7Gd9G6oZxySI5SuMVhVP/XuZJ tgxj56b1D549J+dzX0LLduYwOIZfmrVIPbOWR0kGjA9D7sSWkTX3KPjPsHQy WzaCV68nNeLPUaRfl9tYuWIEV0ZdhdTtyPma+4drojKCtf6bxWLPkHi5r3fD WH0EN5dahYXbUCiaXnVrz+YRHHG7NOpygsLw2KDbjn0juDF7kVKlCYVD/Y+f rnYagQ/9k5XSRgrfD+jti3IegbWOYIDtenLeJ06Ir3IZwd3ZXWOfNCn0OVz2 XX53BEm1wmtV1Cl49li8WPxoBHlSZkdkV1JIYSq9nRc0AiE+Z/vX80l915oa LpA3gojV0zvXjLHgK+7qmlYwgsSbO4VFR1gQ3aZ/5GLxCLSCpN4wuCwI+FfN rv09AosgT753/SwMmLJvRjWMoCPruxSNRerh/FUmB9gjWF48N1msjgXvuMDx YIVR6G+3uRmTxMJMV3eLLVdHob45J1PoFAsp/T2jWddG4Wy3QN/9JAu2Z4+8 3+08ipkl0T9Gj7GQZ7K22/z2KA7o7b5PP8iCx9IWNwfPUbzP2KEbZsTCjKLN MR/ejeKbguGSNC0yvrkcfomcUVh2bDp4QIwFvijLhE7pMezYfTdfNp6Jgp46 h/eyY7h6/qx1QTQT3hqm6ifmj6F8fOZpp09MyH3Ti6tZOIbxoPevikKZUC9c FVO0agwbHS2fmb5i4kTXQGT8jjHc2vxMtusGE+lLHobcOj+G3WfjN4qBCceA BB/pnDGIKay5JZtP+qmJgIc5eWM4J3AqX+UX6fctvdwdC8dgLGy8Zxvp1x4q n7xeVTaGj0EqnIOpDATFip58WTeGZTK3P9iT/jX/5xlV6d4xTDl+dBDxZGA+ bUGp1PxxTO1C22JdBn6seSQs5TAOs8P3dY4ld0HK0FH1vsQEVv5mJVp40dGs 9uevy/cJRNjU6GvPpOH9PylXwawJtP22eakw3QmbKPMVPr8mQLOyLh4a6QS1 rO5maMEE6TPD6EE9neAtaF1Y+GcCC8cUzmT+7YSUaI+dTNcExPKzFqiHdWI3 Y9ZE/OxJROg7y5dv7kRiCJbRLSdx665gOPNoBwZvDc6ytp5Emqtz+S+zDmgd /vSv5fQkYtevb/Yz6kCmpGRy3blJuKnOe6q5vQMF91p3ljpOYs5VpXurFneg ycbV6ovXJNnXSUvkutohtDIz4F78JKxX43PB+XacTNCSWjg1CV3/Na8OFLbi 67ERiT98U6i7+mOZV0orJIQyxB8IToGrwIyIDmtF9ontwpTwFEx8ZvCybrdi qaj+dMrcKVy7bGQ3f20rGLamvftUptCe9vba6ZctcFC4WHzHYgp+DXvdrQyb UZCvVrj28BTuubufV9/YDKWr7LzOo1PoUHjmzFRqxp9Cx+w9VlMY3q6wQY7b hHXXXdJkzk8hL1g+1y6kCcMVXh9j3aYQtiLfPKSnEfc8w9ybo6cgnjey4uv1 Bsy+McvQOm4KZ3I0zcctGxBw7pI0I2EK61fRnVfsaUCy0ZYP7JQpVBaL/VVT aABDqjJPIIuMt0LMdOR7PYxC+IRV/k7hSElk5ObJOsxLs/K9Pj6FvgsZG7rP 1OLD5/xDY5NTeGoqI2loVAuNgDVKbnzTuJ7h8O+BRi32ug4nPJo5DaHL1LoH YzW4o/esMlByGocGJe6Fetegs+KnTI7yNAyP1EaWfK5GHGthoMS+aUxyqt67 ZFbhUbDnqdb903j/8kZip18VbM16l8ebTuNu206bsatVUPz+PdH48DTaq3fy 1FZW4cmz4wXeNtOoMZXYdsGnEue03vWLukyje2pjt4zBH+j/40trvD0N/30s bWPFP1AKPXcn+i65X10jn3RnBWpFNs8y9JjG0am0wCHNCuxqqVV8/GwaFQ84 mt555Vj8ckfnkZfTGDr0dNbms+WY2B35adWbaYga6IoGCZUjJfH6uqKAacxO 9C48oleGpR4ye2ZFTkPzyfcZM2NKoK+/e96Fz9PQ23oxsv1ACZJUqsUtYqaR zvohaNVRjIGQk28C4qdxuWJBwTXrYjw/nHxyd9I0AlZ2T64YLoL6HJEVA8nT iFUozBh+UoQ9v+6zur5OQyfGI1pWqgjLnLvjUtOn8Tf8W1lIQCF+qes4W3+f xolCvVOlKwtRInr7TETWNKakdgxb+hdgnc+ukYs500hMeuA2rlCAl3sf5w7l TWP7MrP9VyPz4TDFeZRXOI36m9EXWUvyIZ622/RKyTQSRLrOV4bmYfm57Lm2 5dPYSBd1hkQedq8a6CismEZwgfLhk69z0Vz5LETw7zQY/FKpjt05+OY1fPpv zTRSwyMGnpnmoGrT1RWF9dMwTVsodDjmF65wCvocm8j6Lq8tPiX5C0Yf1VN0 W6ch6OygWmWbDdZJjzt97dN4Y9R0jnsjCysL9K9/p03j64PWtlUzf+I/Lr9M Bg== "]], Line[{{1.995231006039287, 0.09754300020037165}, { 1.9959157171960376`, 0.09028562328817241}, {1.9965678230596096`, 0.08277883160432316}, {1.9972199289231818`, 0.07451362738473755}, {1.9979784310066, 0.06355310697569093}, { 1.9986957474565292`, 0.05105672074749609}, {1.9993135319588609`, 0.037046754363624645`}, {1.9999656378224329`, 0.008289939594768888}}]}, "Charting`Private`Tag$5460#1"]}}, {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJw1m2k4lO/bxy0VIUWlSFRKkpZfiZR8hbInW9JCSYqKkhQlESKFSlKJog1l z1bZsi/Z1ywzY18HM7YxeK7/i+eV43PM3Pd1Xuf5PbfjMButHIwucnFwcCxw c3D876/Oxb7qnP6LKvvE9j5wy9iDRepi1ztENSCzkm/0+MgH7I0IDUsWNcH4 htsnnp+KRpf4Zo/b0haouPuvm1MgHroVjUnvRK0xcOJCpMBQIjY/Wf9pQdIW 7ebzyoW8KWDrXHh1Xtoe/12SKr8w9gNm1lO/n4s64c2zo8kGJhnIVxdL+xPm jMTOjn7f1kzsljqUwJR0wY/kT/FGBr/AS/OMPCF9H4l8ipTrHNlo2/VI/amo F2I2Zjmt6MxFcMTanC2nvUF3KD+01yEPOstjlLPCfKDI/r1571QeUkfK99El /XDnxBdpUfYfBHwXljGUDoClUmf4c0oBjqz/+LH/UiAk9Dn3rjQuxP3CNyty TYJQsrnOAn8KIa8g99Q85Bm2pIUYSrwrwvvVBj6PRYOxRO/91mmlEtyteJV/ IjMYy8KLnoyGleCEN4VL6vRLBPA/jjk7XwKBiRvuP8NCsC5ZUqT5Vynu1AXf GZJ8jVQ3G4uhbeUwfNFid0w6HDM5OjGBf/9CTlcqWqwoHBXS/qtrJCrBy321 t+dSBIpNb39VtK+EZcZ8YrbJewSfjqaqLa7C6m1BO0+GfMCpnBZmb1gVPHiT t/qJfgRnyepfST+rIav5zDfp+kf05YQ94qdWo8bbof9f0UfYPXcqFFxSg83c crE7nT8h+aJfgbhBDQrnPu6sq/mMaNMdn/3baiDACNkn+SQaXPUVmdLDtQht c1X/MR+H0Nhno/aUehwWN//YbhqPyTkOfvZcPQZOKS7m/R6PiFeC4WfWNUBi yOXC9x0JGHqtpPPWtAEOtgpbOFoT4PFd7bFUcQOEreO/ftqfhPIrtM0znxpx 0vxD/OhYCmK67ZXrtZpB/2fCFyn2A8/jLF9ZnWuGjwXvRWP1H/BdOibYfLsZ yRccxFKDfyB4oTPM83MzBO0Ped9VTIWTXlZ1FVcLCjybTy1xS8NMLns2NK0F e74JLRHnzcTf1KY991a2gn/B44ymRDYEXO7ZG4e1I9TWzELuaDYsj29S04hv x+Y6uXNC9tmovm11XzqvHSrRjRf+/c6GWiGzI6u3HRnRIT/SdubgtJRIgfKe DgwbD/3S/ZsDy7DUNyb5HTD9+qrs5rI89CdJD05eoyDsrKeezcY8qMYKctg4 U0ATvlZxcl8eLlyRNSy7T4GDm1rlobN5+Pzq3947gRT4GQ3X8HzPg7CO3Q+z BAp+s9Va3ur9wW6uic3CoxRsMRzp++Ofj8qmEZ5HNlSIuWseuPQhn+TV4rFV 9lSs+P7eny8tHykKd4yf36KCxWu805CWj9KFbQWnvKioykm72b6/AFILwRLr P1Dhuttjfrq7AK+LOP4daqTCwaLFIGy2AHaGqlPf2qiwfrL3A4QKkcTP85K3 iwqDvm51H+VCBPaNh3mNUrH5vY7fyheFmNa52fOYl4a/y1et2qlahO4Gx55o eRr+HLp2sdq0COKmn7TKlWhIv1KY6nSlCJ8+MlyaVGiIKrpj/jOkCI8lzsd/ 16LhjntbuNZwEe6lChhqnqbh2neF0UGuYuxQcV6ZYkmD1b/Aw4Fri+G4otpj qTUN+opqXfXqxRDd19p+7SoNm+ift114UwyxFfO7RO/RsGY9x90lCcWYztem FbnTIKBrXh5dUAx+oycGFg9pmPrM7zA6WgyWuDfj8GMahuqsc14sKcEVvsHp gKc00LiyhBTFS3BMJeHEnyAayi2up7hpluBAXfwfaggNeU9KFm88WwJ9q5jo stc0pGVuMst3LAH/mqcvw8JoiBSpn+ELL0Ffk+p+xgcabv9VQiizBEdTq6Zu xNIguPNHdwlvKcJd3pTaf6fh49PdT2bFS/Hmz6CraTwN1Xpbmy2OkM8fzplR kmi4/C3SPci8FEYXJu94pdAwzy8hnXetFPYXhiyFU2nYXrbq5paQUvw5HOg4 mE7skw0SNYspBWv1wmuFTBpOPubP8c0qRbLO5P0rP2kY6fexyawpxcK+Pxsf /6LBW5tr2VBPKZQVEx4+/02DeLRb8vrZUjh9X/zFK4uGJN4Zc4PlZfBs5w88 l02D1mUnDg+pMnD/FVCVzqGho4j+OUmxDGt5TmTXE3beekW/S7cMPCYHVjrk Ev8/6mGsPleGxZdXqo8Tjuw5/0bTqQx9d9TNLPNoUDrapuriWwbrYgXzVMJV n072xoSVQUTiovEUYZvFdU9bE8qg9J+x4aY/NLCtDeQFC8rQyRlsqUj4RX5p C5rLMLap1F+BsOzmox43hsvgPP61S5JwzsPcrVGc5aDkTbgwyPtOdCr/rVtd DiGG75lEwsNq6U5LZMsRM3Es3JywV+TedftVypGnpW00ROwV44rPtTUqR9fp wCe2hBPOy15+a1OOgosGVtXkvpq5nwQrXMthva2yX4pw+4aNP+YDyqEVc/XA eeIvpwdhp3dHlWNvZfhVP+JPPsoaLqu0cohMTLwOI/7+gBdfX5SV4/R18bY3 JB77IwQNCjrKMc9uMPQi8fo77zcxySjHRYnFq81JPGd/P1A7JV6BPY25C/lp NDxfz+7z310B18JXNmeIHmTcbgf+1qgAj9r1Nx1EL6bK9q0brlXg9LZeRnQi 0fvbfk8jjwrciYs+P0b05jlrvc3rZQVsElPltsTREJ952rn3dwV2am++bRRD w1GxRnHRmgp8ifHQ1PtKQ6uL0R+dngpsPbVpzd7PNCxV0l4RJ/gXmanqVsVE 7xfSFGKcLP/CNZT5RSSUBpZI0vHPN/9CdPq9ndtLGoKcd0w1PvoLESfJTzXP afi9b7PGwYS/iPx0zUib5N+aFKF2Ts5KLFhxP7jmQcOZJ7MmXSKVuMrffJjv PtGPdXdZoVwlKjgvuQW70iC3OiPD/2QlSgMlXznepEHN+dzL1QmVeDs/JWpB 6oVCmNnn4F1VGO1kLz6kToO5bznV+0AVFtJ8Pf9Xj+45HV5/+0gVesSahmwO 0JCrtz3Y/HQV0tftXm3xHw16c/MeEo+qsCt8RW6OBA3nLT6f/dpeBRaD63vy FBVeOutev+6vwt9pkc9x41R8Vgiqe8ysQsyiwANRw1QMCbrqXuOrht2C/+K7 nVQ4Z+sr7VGoRntq9+Lxv1Q82TCx6tfTavgzw3wufaIilaZeXqlcg3E929Nd xlQ0aHmMPdWsgcbLqp9rDaiYjMsS0TOqwQx3ocIJHSoU7yqdL75UA26t4y4j qlSkr9w1mfO8Bh5726Uid1LR5HJ1nfu7GjTMyOrskKViuiNa9dDXGnSPrfQt 2ELF/m+b/TN+10D240kdyfVUZGiIbUjqq0HTQGKntwAVLTFmR64zatDcG5f7 iJf0lxUv7XbO1+DFrZ8pbxZRcaBt+Y+YlbVocVdsmGBTkHlrsU6USi1Gond2 BIxQ0PJPzeG8di28OQ9i6yAFrMMPgiVNasFlzfW5rpeCg4Kz7W9ta2FidMv1 OpWCX59HbwYH12JfunJpRj0FrQI7XxtF1EJ9umeYp5YCtuOVrBUxtdDeLDBu X0XBIfTwPs2uBcuGcd+vjAKLT1I7dUtrcXxz1dShEgru8583Xlpfiy+2hv8t K6Igq/HfO++BWvSev5k9l0dB+yHRP+oTtShxnZqXzKVgPupEHydHHdba/6uz yKZAgi94WQ5fHX59yU3J/E2ByvXqPfdX12Gc309I/hc5r0HwpPKGOlSd1Dxb lknOU9ZzY8nWgTNQfalHBgXhkX6R6fvqcMV61Ns0nYJs3qIiZ9U6JGT3qGmn UUCxXzQsr1sHcRVK3JlUCjjqDwszTOsQ/ydRMegHBRsOuismnqvD6lVHdbpS KFD98OuMw5U6LLsTamRO+BwPy2OHMzn/avxPejIFD64pfhl8UAcTi1f0L4Tf 1zqVR/vXgXX1rJkn4RylpLFLIXUIAd9pd8KUCLqI9AfyfWrY+QjCHEt2KHfF 1mEhenE1jfCGq3bnI1Pr4Lpvo6AOOe9wzRefc7l1SLmYfK+esNX+7liJ8jr8 dbRy9yb2eoZvqm5tqIM+T9LtU+Q+kYvOTb6h1uGB3XyBCblvnt27deZDdfiZ frvEifgjuf/KFYvJOmhr7cuLIv76ePnAzwsc9UhZenwrk/gzuJeX35avHjm0 /9RtiL+9bRpP2a+qx/d2Y0sWiYdz96eYmxL1uDp/ID+BxMvG2ol1R6Ye80K3 MvxIPLWshN48VK7HjsI99h8LKFCikj3kaD0e6NLSeogeZM/FKQUcr4e/n8Jn vVIKBCx0m0Ot63F/CdPFq5KCuVbRbeH29YhMPUE9UUPByOm+O1F36kE5rjum T/RZae69Nu5JPTa07+CO/Uf822R8OTmkHpMlj+4LdVCQYLYpPf19PUb2H335 jkbBc9Nssz8p9Ui/G3l36wAFD+uefinOqgeffsnPLSRfnIzPTFUU12Mh4vwd nXEKThjOhDS11sM48cJB3lkKNKuKetp66pH8WSr6wwIF+w1CFDpH65E9xD5v RfJRVH9vw/CiBjg3xzqfEqSiVevaau4dDTBe5ygvu5mKiqKDF3kVG8B6kMzP TepB1lG+H8sON6DGaPDZot1URGh8MVlL5viY2OwjnspUWKlSX+xwa0DlorJD V82oMM6O79zzqAHTKeq+ARZUaKjc37v/WQOUnnx/2XKRii3K62rVPpHnb7fZ jTpR0adoKnyyogEibUuqVr+kojlVyupsYwMyLW4K+L2jonTfeKIVtQEby6LL pT9TEbs30PDaRANOBERK0tKosN9VEuS5vhE7/0tINSfz6YT0oeXfrzXiQKO6 veluGlRoakWP7zTiepd/zmVlGnzeablfftgISlfLpzgyX4qsMqFLvW6EjsS6 VTXnST/gvFL5Jr8R/eJe953JPHfnX2ig77omSJoUa29d2omckHBNG+kmmBfP mZ9d2wleo48L6v81IV1BuSx/aydeF8c7LBxtArfvYbWtmp3I/FFo4OzYBNd1 AvIKvp1gBzKXW5c0YeNtgU/GK7ugocsqOlzXhDvvNJT9t3ThyRKOB5IdTfi6 kLx5TLEL6934R1uYTThSvrXn6NkuqNhtqjLc0IyRxD0pwjFdcNc4HgSyB+Vk H94yoNsNrpnYFeu2tEAj49FrxbgerKtQY2BXCyR47NSW5fdA/kNzvbVSC56/ 0vfjbOnBRW2et3H6LVj2R/eexpJeFL+22qLm3IJ/MesCtp3rReAB0QO2RS0o VTCaFRXtg/g9nwtptv/gfOyITnJYPxQWzqUax7VCccsTl/vVQ9DTz/E8kt6K VyzzDLHBIVx4K2mgmNeKpLCSr+mLhhGk2N4r1tAKru3VSVOKw+h3OC1Km2vF 0DUnxVvhwwijmN67rt+G6RfFcouujIAzT0ft6VAb3O/8OiazQMfaFTGC7pNt uG7v85FXYBQ7LZb+u87RDq+QRg/ntaM4xSq6abKqHZnHJJ0P/TeKlD1HPq1T bkdLRzaHo9UobKLAG+PfjoHqWnmNP6Mo95L/WyjbgQHXf9eXu43hwPIyrmf7 OhBbazKv6DeGr6/PK55W7UAeb1DV8ZdjeBgX8J5u2oER55V6Rt/J95v6HNd6 dMC6+wnraSv5/vZ3a+waO7B5WQclRXEcIql79eRpHejqSO8qUBuHl2rpg/mh DlRl7Xn2R38cCTGzTtqcFOwZzBbyujAO/2yZ9jYR0ndU6letChiHWr9nwhI1 CsQKoqyOdIzDZeff0iuapA69kIpa2k+evynaXaVHgaEST2Da+Dgk5uNF35qR Psi8lVu5mIEZ4TbPXWTv1Lu+dPOwLAMJyoqmJ0Mp2OTXWZ95nYFeD0+H3+/I 591Xv/C4MCBRVOG3KYoC7i18LQc9GHhiaJ019J0CXe3cfvNnDFy2ebbV4w8F sfw7g2wTGJAMGpyJJnVJtXzCMqefgazz7tFJDArGAzS8Fo0yYLF3pfnPadJn Ck7S/ptkIKzhQHo5FxWP52SEtLiYWLv+sTNdhIowS9/sc6JMpI2sl55eR0Wn HL/8sAQTJ3IS6zk2UrGmRv6e1WYmXl5olhfeToXyvI8lzy4mhGNkGPIgdWvT qrtK6kwk3v0VeUiDiufGUc/4tZg4rn/c6Kg2Fby3hQ4W6jEROHo70YzMTeUx O/6bMGVCQLHIwfUSFeYiW/cpXWIilve05MOrxJ5PlrYGV5jQaRn563+DzDl8 yauOOTDh6yay891dKnaHf65YdJuJxfkXh7IDqfiUb15r5s3Ex5czb4uDyd79 mKso0ZcJjUtPdatfU6FkbHuA6c+EJ9+PGFoUFYKzVvF7njOxsVXr1OBXKp5e rcrY+ZKJnO+tS5nfqfAcizddGcrE/PFFtovTif1rPM1D3jHxblPoWsHfpK4u j/8r/54JZeb2YpE8KtYG59J/RjJx95XxVplyKv45zZh6fWFCzLa3YXc1FW1+ n74VRDOReeCuj1IDFe2a6jX0WCam2yK7dSikbv75L3k+nolX8Qovjbup0FNX 9epMZELBo1TjzAAVR10zDRKTmbi1eTzqGpOKt6ESPLxpTKya9DZ2niFzqUCP wLN0JlKKRLnd56mYzalR5c5kYtzusFUQLw0bZy9ejfrFxDPleqHXy2iIKxv1 qP7NxG5B29wPwjQw8y9x9mcxUdnBvh6zhobMh9Os/mwm7BODNiSL01B7VN+9 LoeJZQ83V/3cSIPGsicRX3OZ+GaS7p4vTcPPBNNrNnlM6Enr7arYTur+XD5r 2R8mBqc62utJH/AsuHYqgnDqpcA8HQUadNXWT0vlM/GgUeVz9kEaJF3LfwQQ 1tUc8ZM/TJ5PnP/WQVgk7d216KM0SBc3TYkUMEGV1jeU0CN7zx/JRHnC30LY 8i8Myd52TJG5n/DtJd/W8prRcEppQ5sUYTXn0+x7Z2jwn3D2nSDvW9bDRxkj faaTx3FlHOEm08w/NpdoeHiX8lafcFSB7Zd/V2m4fUxGtY7Ya79P1P+4Iw1c LRqSaoSVPhXbF9ymYb1iwclX5L6LVt8xOuBGw1h4qUAd8Uel11aFeE/iz8Il Z6aJv94wG0Q3+9LwVCnz0iLCF6195kLJHvU5Jslwmvh7d90+6rIXZK/V0lau I/GYVe/O9yR7GcfS8zqhJF6FycFfp97RsJlhHaHxk8RPSuPJ1SgadC4etWzO YOLMC4YDlex9VLO7cSdI/MccjRTLksleJ6YRyP+DiV80znWqGTQ48upeVSf6 8TFKnE8he66gpK+DNdGX+J4VheElZK937POy+s6E1liFiWMH2bvvWOoaf2Ri 5Xm3/b1dNJgcK0xt+sBEe5Wc+JkBGhbv736iFcGEU4J/55EJGrLMRqT6XjMR 4aDtKMrfCRG+yKztAUzYdUybBqzoxPyvfSpLSf7JG3xV4hbphLDpQd+aR0yU 7uThHN7QiYNCmXu2eTAxOZwfmKPQiUUSjMlBRyZyzzrd3KfcCdHAnlY5kv9P KqTMYg53guF2adFpUh82ffeUCNbrhLRgWrP7BSb0r6p+v2TVCb13ijOjRqQe DPwsFQzoRECkUWHYThLPVwZSdi86IcQQyOvYxoSiRufdglAyRxikJK/cQux5 x7fjXlQn1gxBxWAd8edx88D+9E4Eey+2FONhQiVt0ji/sxMGR+IS5VoZaH74 X5uLUhdWNUfu+OTGQOTugn31Kl1o+useePk2A1fbTgbs1uiC/pGMQ1I3GOBQ fIDeY10oM+HWdbdmQHrg7wcT6y4MzXimNeow4HT8qs2uwC5sGI/nVhBhQHD9 F3pXVxc+c+w4yB09DtUTD9s6+7tgOUcr9I0ch2OgZRltpAu2b/avEggbRwPn 2i+U6S4YFa7zEwgcR3iPr0WrQDeerM7qmXYax84Eu4pa+W5cMPsiFaE6Dn31 nbF5Xt0ILdJpWtk0hvv3+F7n+nVDylFgSUj1GBJ+9PjkBHRjZNFRRbGyMayS ibDKCu3G03OMdduyxsj+t0Is81s34vTfbrH+OIarDWO+iXXdUJ95vvTyjTE8 sf1h835zDyRvxR+1EBzDgOp3X37ZHpye+ClcyzMGzbWfYpx39aC/6QLHMc4x cBUFj+gd6MEr6YCvJ5ijcNns5Dxj0IOFu/ODP1rI/NCxx8fobg8+JNNLc76O 4rBpwqdFNT04wn4k8FJnFOFyX4scGnvw+mTUummNUbC53/e3tPbgQL/5jwsY RXpS4I7EXnIep166iTyZX1Y4/Dg714PgarE9ERKjEC/bUZAq04vr4yL3f/XT Maka23XZvRczWfveWR2n49fHwbe3vXpxOv6VIpcWHZ68csY+fr2I34nhRNAh WPUtN+pFL15Kx3w8vIsOacu48PYvvXgS4TK3cTkdJ9wST5pUkTmvVfMirXoE 4tSx5Rfqe/Fvz7dhj9IR0DT2FN1o6UXmoSOH/vszAnuB5H2BXb2Ic3Diz04Z gc/bFOHS6V4ocQseDAkdwY+MtHJs7IOT5bXNMhdG4Lp++uEx6T5EilV+zjoz AlWP/QfPbu+Do3bsRusTIyjXyoh23deHtHtWWf+0R9DVmOnzQ7sPv/rlv9/9 b4T0k9+q2x378OyK8vQ17hE47clPEfnTh/Z/q+IeJQ7DRn7D+2fFfXh4wiTO 8dswTirc8xf424d19bzCV78M4+ABeSuu5j6c03xx3+/dMLjUPi4fGenDipc+ +688HkagoZddgVg/nKv3l8baDOOBMcVUdUM/vgo40q5aDcPRVPnwzy39oPBs 3HnAYhgnzJlrEnf3oznSqmLadBji560Lwo72w+80pxTX0WHEXNfY4OTYj/dR q19uliHzq+N7fvrtftg+iPN8tXkYT53Yk7Zu/RCqWW6wauMwrt9JqbD07ce+ j6eGZcWGofhg813d8H7wV3dsKBYYRn7gooZNpf1IXnzl0QfGEDri8v2rNw4g cpdvXkXhEKqGFw3t2ToAQVWjGNX8IeTIHdELlhvA1LnYhPTcIbyPKRAwUxzA n2e5oWm/hmD1ufBpq94AlLMyzg0nDaHnXXFg7+0BLLI41rv+/RCGn5S/mKsY AL2m/mbJvSHM2tW93eY6CFtFJ02eA0PYfphn3ubnEG6knXT4L22QzKuxW5ty hnBgsaNca8og5FcdN9QmdjVe3HvCJ2kQyr2hH7eTPeCL6vza5u+DOPZUVne0 h9iB1U9cPg7CsVk/1EV4GKeXeD1MeDaIjBvBe57YDsN+Tdcr06uDUPm3/8yc /TAK9mY8WGI3iDyNNm97p2HkfPwZlH5pEKVrpJuPu5PnXZ/YbrgwiNbfae6r Xw5jxe/SfxynBsHB9688PGcYYus+c63SGoRm5MZLiWtGsPrByxEOaWJvqKB0 ofgIAs9Z6a7bPIgNAbNdLRtH0Ksg8Xb/pkGwXOqtFsmNoFTI8tg9iUF8N/Sz MFMdgZjTUPi2NYNYyTlmOnd5BOt/SoTKLCXnTbWtErYnui7in7zDM4ihodJa 6Zsj4D28Y0fF4kEUNn00PO42AgeroxYeXINwSTipH/WMnMd/VluMPYAOyxwN 7cwRuKwa+Cc6OoBy0+/cFtkjCGWaC8eNDCBd902eY/4I/pZsZBwdHsBzRSfV sL8jGEBvp8/AAI4sl1Gm00bQ9IhWpto9gD2LV89y941Akv4sYrZzABKznJlr h0ew4r2R60/aAKZ7/imqTY3gkvOb6zqUAcRmBe59yU9H1Zo7vp//DSA05d54 9Ao67vaN/37cMgCvGNvErNV0PA64q+/UPACLEPVdfZJ0GNkLfDBrHICQ/ZTs QXk6FtF+iJ+rHcD8ha5+AyU6LjaYSV+vGcCAefVXaxU6hLVW13hXDyD/SKx0 AKlbtywcdudVDuD2estN1DN05CeUUt3LB2B1fPeJ1vN0+P2seJVbNoBjDzkf N9rQYXHw9hgvYen+qLGK63TE9fh//VoyAGHxW1tKbpH33+sR4iQ8d+yoeb4r HQ7JBQqWxQOoS+nLyfSiY3ztv2K5ogHk9GYwf/jRsX3SVTWskNxfzF8mMYCO HWqOvkKEPR/sCPoSSofs9JqwZQUDsE+e/xP5jo551Q/Xg/MHYN5TOfUuko7e A4pbNxLeredoGfyNjsDHQjp6fwYg7q7+IjCRDuP9b34P5A2AJ2lV0eNUOtjU tI2BhMe7ulneP+l4wvvERYlw+5q0nR45dAhZLyruzx1AqY6v1b0COlb8bFn+ nvAPN/OQ26XEH7+Cjc8Qfp8gW+pYSUdf68OXEoSfdM7OXaujo2xfQWNPzgDu iFT8Z9tMR9jlw+I/CF/QDr9o3U7HSq9v1n6Ej91zeG3ZSYfrkHfSBcIH4lUr TvXRMXB0LY8GYWmaEOeJYTrOXnK5IEtYaHWnvOE4Of/w42IRwmzNlMt6U3Rk tE4qLCXc5+odpsmm47qOQjwn4YET2y9/4CB9L+LxfxyEz42u5JLkHkXjOEfW IsINfuy3YYtHMWJ2w2Q5YV2p7n1ivKNo677PlCSc86ui8hXfKPozXr1TIKxw ItV29bJR0BeYx4wJf6OHc79YPopdc294nAlv8nv0boXwKFjrzQvDCYduuq4Y sGoUcktK/SoIC/46Wc2/ZhRRH42PcxF/eZkevuInOorb2lvXHiI8M7JtMY/4 KESzD3e4Ebb3FY7wIn1Yz+ZKVD7hro2z+7k2kveb7LcSIvGqMim/OrdlFDJp PAW/CB8dSVlyV2YUD9bvvLCOxP/Xo3fvp2VH4c2lOupO+EumfR1j1yg271co OUX0Im5iZn9jzyj2nI5cVk34+TB46WQO6FrKt0ef6O3+BiHlAaVReJz6ttSM 6JGZMVN/SZnMHTubk7sI2xnTHLpVRrHues/2O0TPpj7JURT1UfxoPH8jgehd bsiUv1F/FOonTmZcJPmSbqKX/fj4KHZHNtn8R/JL/bfaTRXjUXjGjiRxk7p/ KmDXv08nR3Hg/dbFv/4OwG/30linC6Po0P77ypXk76rXCxYyNqMwYJQddiX5 /Z5zUrj18ihWfXyg+qCOvL+G5qpuP4r8NT7CEQ0D6HH6pSPsMor2LbrN0qSe OLYlzRfcHYVQ5DTLrJXk55HoJJf7o6jzPb02sI28f02IGPXhKL4VB65eTuqR eobDQHzAKHpsdmWYkHr2fm7TY/2PozATNZwdIPVRzkZUhfPLKDa2+WTcGh9A 2t/l4ynRo+A8xPNmMXMAfyPY5uLx5P4m573lp8h5hxu2DWaMwsTAwrRijtzX x6/Et3IUfLncPa38pJ4vH+XNZ40ihi/OcF52EDW/Hz/SnhuFygoLywG5QTy/ umVJ5cIoHFzChJp3DkK49BR3y6IxyIq925a1h7B3wRydzJUR2qZBnw4MYsXs m/F1UmNQydZ92KozCIHeI603dcdw5eP+Wh/S3xZlv42XChtDWT8zoi9xEFfk fzYv1R2HzVS3tJ4q6edV9d/S9cdh+4oz6qzaEFZfG3W/dHwclFajSnuNIWR/ 2iJdYDqOKkbptSCtIaxcE+T44Nw4RlTW6tUcH8LPGWv+qVvjiOjIlrQ4PwT+ bMFDXe/H8eDimLHIwyGcO71txYsoMqeHK2WpeA/hx5R65+HP48iPOrvf9tEQ LHe7+EXEjmOH++/sfP8hJH/orD+VOo6UK/rdocFDOO2Vbl9dRp7viaeUfx5C rLbV+6zJcaypvMS94+8Q5OU2qmBmHN8mDmdHVA0hS5DyL3t2HH62StfX1JL5 pfbsmlwOBvy7P4mLNA2BedY84A8fA4Oqr4KNaWTpcTx+r1iCge+lC7y9U0Mo Mlkupr2RAVwppf1gDeG44t+0EikGLj1adcV/jswVbF1GqQwD1CSfaR3uYTzy 0bSr2MPAg8wgKcnlw6h6o3Ky5igDPw88zZEn85m529yEkTYDmY8VaHe3D4Nm +etFrS4DSfM898p2DoO5+UBl3XEGZk3bH3vtG4Zo/L6jjacYkIpiK5xXH4bV Hzn5VnsGWPZRiW3nhjExKLaiJ4SBFtNllz5HDSP4XW9R2GsGck2Ptb38Ooy9 BinuxmEM2N1/avbi+zBuJOnTcz4w8PlJTFN62jDZcx/8ffuNgUfL+zwSy4fR vbjniWEeA7XCRoJOM8PwSkvS4C1gQKU1cp/RwjCkbN3ZWUUMHHD9qqK6eATn y9delatgoNjS75ye0Ajanuvq8jQxwOMqlLZVdgT1kolLfw8zYHWusmbBgszT 1W65N0cZuPlN7HvvxRGsfKjjIstgwELsTgfl6ggMezr7Xk0zoHw+KpTn7ggq vokUO3IzwfHQzViGzPsFSvd8ZESZOHZbPyu/nsz/xprcwRpM3Aj+71qaBR2+ uune4ppMFAdNS2peouOM+jbeT9pM8HBEsnsc6ODay78s9RgTa6wjdph50HFM uFKk6ST5/sd/UjMfSV+rOiErfo0Jo6tJ4qDTIXbMxvDjSyY6x/bcLtYcxfCR xlq5UCaqM0pK+UmdyzmkdeLHGybCzpn6nDAidXKH7OnCCCZG7PbxcZ0dRbLA iHVfNBMlTxsWJTiSul52645cFhNeYdwxZyJG4a7lHZHSw4QVQ1cygOR9jcXl M7v7yfOnKz28uMew+Zau6LdBJrRLPog+WDqG0g9CL6JGmZA/uTTUZzXZR2ff +TxnMbFg6uvzd8cYvn5PvXZdcAKl7MgOBcsxVAn3HZRTmIB6+6ZH2fljpG7p NEV5T2BD3Jq1zsHjeJx3MN7UdwI+W87I3Hk7jvEvcj48/hN4LhRQdpvs13mO gvJXgibg5Vsh6JAwDmvemsA9byfwuLnPbH/5OL7uNdfMTZhASOpEMj83Azsf X0pt/zeBJyYNv82vMhDicPJpUPsE1trSj8U7MrBgom2tRp1ATpPEfvYdBqok twt/7pmAmo2I+l1vBm78GLl2bWwC7guS/rzhDKRQbm1hL5lEwEklvT1EZ+KF NuzvSyfBZ5ow3VXDgHesWa2lwCScReR++RPdnXBW8vgjNImK4fvpKZ0MTPHP tT4Wn4TFEq1W+xmiW0WvYNE9k5j84Vt0YhMTDVaiCu/kJ5GTPNfWIc3EzYC4 xg2Kk9h8U7Xy9HYmvnU3ickoT6JvxCBiuzwTEsE7PigcnYSNlqif9BEmMrPz 1DK1JuEl9IVXjejMbNCs65DuJMbEJzYY6DMRpOa59cjxSRgzc90OmTLBNdbw 3fgUsUf0Q4SNNRPh4lcNGs9MYi3fs7d8l5k4qMU5dspyEtauvdPhV5hwIqda WU9CcGUrQh2Z6NF/kHndfhL5E6mdxe5MeLqsPsO8PonXmap/Bz2ZkPwUM3f7 5iSUL+4dnfNm4iS7TtX9ziQ2WLZr0/2ZKIvZVvTUcxLtL744cL1i4nJD1mUh 70mEnpXY9fY1E4u4TPhePpqE5os5/k1hTKiY39cPezIJZo96yMx7Jlq8VtIl A8n33YI4dKKYuJ3wNSjq2SSeTQlz+X5iIoGntjYmZBI9Vl2a5UT3ensv39r5 ehJdV1/o1sQy0W8xJ5L0dhLaSw5eLPjOxKbUracy3hN7Y0vPOCYykUX9Nasc Rfy/7gd7ezITp5cZvcv5NAkZwwiFmhQmgq3vUYpiJrF7mQZHVxoTu4OEPHW/ k883lZoYZDBR8fOzVGU8uZ9rf/nnTCbseg8WGCUR+9VGdQd+MrFkZbVNQ8ok pNP8f4j+ZiJSxYb3VNokVI+VDMuTvITdbHRbxiSEKGuaD2Yz0foySPf8r0kc LNU6szOHiTu5W4a7siZRKvzsjEAuE6uGMwMu506i3Pdxdj3hxLXHdw/9mYQ9 Tf7K4zxSpzS6qx0KJ/GvafKI7B8mBhxcbzKKJ5F1OELhB2Gft8tX3y6bRJC0 zebt+UxIFX1MZVVMQq95eNKfcM640sn7VZO4v0QjpJHwGYnKGc7aSewooA0s K2BCUNTxx8/6SVyOf/l1N+Hclatv3GqaxIxtpswBwk6C6XK7/k3i1ichA1nC 0ktP9/W1TeJt7tQCB+Em7vmoSArJLwObDVnk/Y/n31ue6ZyEUuDEy/OElWfU 14n0TEKlr+3oILGXzuhpqOwj8bGYET1NOHLE77nf4CTCF/InE8h9TfrljqmP TELD0KpgiPhjSVfl0rnRScgmh9oLEk5vdyxIZRD/5Db8W038ade82uP65CQG 4vdOcRF/r69LV5adIfa9vx5bT+LjWTKf/G5+EvKv+55sJ/GTz//gYMY5BR09 7hdxJN69WRrbhRZNIaYju1Mknegt5XGk19IpRH2/LPGK6GU+boeFisAUBPpS e+KSiD6jq0SnBaeQcPZaamwCE6sjRJ5dWTWFAomQ3SbfSB94naG3Zc0UfK8L Zy8Q/boGn+HtEJ1CucKy9UFfmGj3i3Q3kpzCnnKPNZaRTHx12mmvJDuFi0H3 O1JCmDjlUL2NITeFkJes394vmFhm59T9bdcUxg5tlDwYxISjZeaZDfumcGnr f4bGfiTfdY7q8qhOQbfk4MR+V1L3NfqX5KpN4eu3WOsdzky8x5M81yNT2Dcq dWAJyf9F+2qURnSmkPfDY81FWyb+SlrI1JtOYXTLQknjCSYeiHF2BZycwqOb Rs/phkzsXf0xQuv0FCo8UusH9ZgI5RsQ+XVuClqme3qfqZG+M3FrcdSVKagE Ca96KcfEROlT2nWPKXyaj9nhMctAK3/9ZfbDKSjme24/McFAnp44/ZHPFIye n6tdSWcg6G/MbLg/8ZfHBUttGgOyNUWrKl5Oga9BRiWCzAkWzZya22KmsJDI 82dJAAMaYtoVKd+msMr94Ii9DwPbTwcZq8YT3l3JlXufgelWiXNmKVPg5l+q L+XAwHPKQRfvrClwrk7R7jzGQGHvrVhqzRQ8CvLGbMnc9k3m93/X6qcgYbU8 x42TgRe2i9KnG6fQ/vW9gdv0OM4NPs9f3jaFM6++K6v2jIM1Et92qHcKPC9v yjfnjGPXZP/yN7NT4JAYCLnjOI7QRRZORpun4XhQ71NQ8RjmL6zZVy09DZk3 935/+D0G6z9VEwbbpvHaOurux6Qx7PZUv62/cxoqnY+/upO5unhBxlVr/zRo 9qlCzx3GMMViuKvoTcPK/lCB0coxnBjz85d1mkZT3J7mJDIvrGz/EcmVP404 zXapENdhBAi4uaUVTuNNQ8q2RIth8B3UOHm1ZBr82mpfy9SGwRVas6zh7zR2 Bi57wMk/jHFD+p3o5mks6WHEerwl822BjMFx+jS+HPfefOb3IJ58fzv7TmwG ay/vWR/HOwDeVqsGo/UzcNfROtY53A8vPtlEng0zKHx8f8n22n7cvZRuc2PL DJwt1I4x3/XDbmN9tcbuGSxyCO5wk++H1kvBr4NHZhAetN6v92IfFrt5mCjd mIGXgNKG9LYepIwNzWTfnEFUZPRMXVEPrG1ORhx1noGsuILUiqQe5BvsGjC+ O4NX0qnVNJ8eeG1qc7f3noF00M/j3Ht6sKh4f2zU6xkEPMvkuhvQjRTlj8dl w2YQvGhO5ZNrN6wTl08mhM+gPfsse9ymG/lvelSzomaQ+c1bkoVuPLwW3ND0 fQafXf8rzmJ0gWvlKKdg3gxyZV7GnLbqQtKj01+C82fQ9S/9b9vxLjK/F+qt K5qBhYmt6yN0Ia/73SuZ8hkU78s5ZLS+C57pujvUG2aQd7NwobSlE5wWX07e GZjBtx0/r9w424mEGuH5+aEZnHWdO+p5rBPnNO9HedNnIG/fcOE3OpGz23Tk OXMGo8c5qUmbOvGAm9vr+/wM3G4LCYcP0MARbRFPE2Zh6Kghy8+ThsKhRvuI 1SxUBP4MOHqLhie7DXeeWcvCia8nzBQu07AmXf17/XoWfuldSYo/RsPOIpnY YhkW7GLNLPkkaGDyRdp5b2ehJkjf8bwwDZnH1smq7WThP+M11MElNBxpWBb9 cy8LZ9aV5LwZpeJM9/jnOBUWvnWwPlgWUrFp21WbK4dZWLniTebxX1T0Xe3e IqPBgtGNP81OSVTcZDZ+/KDNwjGV462mEVQ85v4dGWzCQqvdhdN37lJxXFPB ytCMhdKZQYkFRypE/OM3Cp5iYW/ph7XpdlRECke+f2TJgjL/w005p6jI2Pgo 3NWOhRnlMOPNh6i4f5HDQvEaC6beKq/3K1ChEe2ynunAQt18V7nbLiqqdl8N u3aLhS8VTxXfbKIixKn7tOwdFh7I5C65IU7uk26xrteVBQvnc8zbIsR+GL45 94CFEVGK5mp+KuIelpqvf8iC37YexdjFVDgVqYu2eLPwmCvm1HUOKhaOKYQa +7MgXvxP6dEkBSIW60KOhpD7mk7zUbooaP0QbMr9mgU5l6XafRQKIruXrc55 y0LOxgfP1rdRsOMaR7DSBxbK5d4ICjZQMJ7gYjwZRc4LrPxUXENBOnNcOPkz C8VZIQLxlRRo3Ot+JveN2F8sMjdXQgFfjoVhfxwLY+vl2i4WUVDF3bTicyIL zJUvlabzKQjRNKyySmHht1FNRkoeBaf9SwMl08h5YkzutzkUbKhUN2jNYEF4 PPxXTBYFPcK/BV//YsHResWjzl8UfDuh8Nc0m4XwGqnFR35S4Pgm/qlwHgue JmaNfzMoSGO/eZSXz4K9xwlzn3QK2BY+Ho5FLEQOGHBYp1Gglnvj7qZSFjRf bbW/lErBI6mzt2rKyfvfBar/7/8By721HDwrWXjdLrChPYUC4b69tntqWKDV zn44TthMR/ICrY4FM5uXNr3JFIR94zv7vJGFNQ2MpZGEqYKTJ9RaiF6/r9n6 gLD0Derx8Vbi/9whMw/CV2rLdSI7WLBWNdj3iXDCvnQNIxoLvGUrzAYJT7yK UuHqZmH29ZyxMTnvACtgf1IvCysSqbmthB+ccd1jNcCCtHjAvkfE3oKsi3LC wyzU7m9XMyL34dtoKJ1HZyGe7/e9Q+S+xx8qb3AcZyHkjewtLeKPl91bxTZN sPDj3OHfjsRfLZorV9VMsdCVfrD7ZyYFkjHzyzxZLCSfc7knRfxtLTDAs2eO hVUc3kLRvykYqcqZfcY1i19lMlcEcinYu/fbxOHFs+CQ6dDqJ/G88/IVfYxn Fs5ysSdoJN7cp+w7DZfNgtX/WW4r0YfWL/M2zhWEu3bwOpZRECBxpDFReBbn wrwONFZQsLZzXZnQ2llkpez9M0L0dvYIT0Gu2Cy2XKnf+r6e6PXLeNaN9bPY f7x7wbaJArmrJUnVm2bxLrZ4w5F2Cg5POL95tmMWp9fpf+EfpMDHzCr48O5Z PH3FuePmCIlvhn7A2J5ZGKycOkofo+DE/c2ehvtnccjCRlVqhgI7nhpbIfVZ hE49u3WVl4p4298Xco/MYufg9nI7ASqYZV/P3tCaBfubaa7LCircg9wNq/Vn wffKybdoLRXBojuUnp2cxakoLf9VslT83u7LK2Q/i8ht5w0WGVChULem4vl1 Yk/cTLmbMRUJ9748W3VzFly0tNp5M1JfKgrF1t6ZxR55Hcrq81T4OizeIek5 i2MKxzKf3KTCKNnTcEcIsYdn0kbjNRW9B9zeaGfNQnp/tNuWbirOdQpYluXM gtGWwPe3n4oW/zAp/T+zEHvn33VjhIry1p/fjhfP4sTtv2tjpqhIus/KMquZ hZVxRkfNUhru5d3uvNgzi22OvyR+ytEwYcfztbdvFpM3PGfpu2mwX/nqqu0g uU98LUVsHw3nrVMnro7O4lGXZaDhIRqOLpngcWLNQuj93N4D+jQI6TjKeQqy Yf7lvFqGHQ3vc5fzHxBiQ8/Wn3nLnobdSt/7x1ayIbn/deJGRxqOyfR9Pi/K hukVzmVHXGh4vMRi4+HNbJhYLmpJ8qFB9P7swrQ0G12nhu06/Gj4OhHanrCN jedcdbHTT2go6qp9u2EXGxcaS2VHn9Ow6I+2CMcBNvZ8Z/cPvqPhxYFeZpoy m/Rnv9/O72nYlORV6wA2Yk8Nqg5F0qD6ITuoQ4PYE5jnGPKFhsq1Zx1eabJR /y8hqTSaBosglr6BDhsaby4V9MXS4Oa+jz/bgA3RCesQajwNAlM1/c5GbLzL ZY/9TKQhzP568U5TNhrNOE67J9OwvWfZlx4zNs4dqIra/oP0t7Ox3uGn2Pj2 n877nFQatOu1rE+cZWPermSLSjoNTXo9aoLn2DC8J83/MYOGyYMbOe5fZKN1 4NhJmf/9viQ5q33fZTYO/nfo1tHfNKzafub3sB0bgtePndHLouFj5MzbT9fY oHaVDipl07BX7JXr2etsLN3gzL08h4a8Z/Lmq2+y4WQQ4FVG2GhpjWLFLTYs 7MsM//f7EuoDBxHvO2zsPmVhwCJ8fVpgQvkuGzp/6VZX82hYcIipZbqxkakR cbOAcECvZtK3B2xE/OK0W/yHhvWW3UHWD9lwubRhtxzhbw2eDuI+bMgfvJ2o RPjgsQ3H6nzZ6LjCaNlBuLTgt9wTfza2lI694SV86tBpfo0ANg4vPUQtIe/v T5nunw1iY/Mgf8QNwnfkQoqTX7AxY7RQuEDs4/2498uVEDa4sEHfifCrddXe Uq+J/7+2SVeS+0m/sLf+95YNA30+3RWEf/AJqL8IZ+Pk6ZZEReIfDc/ojbof 2NDko5ocIf6rnTnKwf2RjeC1gruUiH+tbnS1Z35m49PuWOWVxP9jfR6/HaOJ v/eb363NpOHBOckw2W9sDHktG3Ah8VrR9MuVFscG5gT9lpB4RhicMn+TyEb7 eoa5S+r/5p8pRaMUoofBN5Y1KTRkqbwU4Utjw7lsV7gQ0Uvrjqpal19s/MgU b1Mj+ooYFHLjzmaj/77Xx5PfiT3RxtJPc9nwdBZYdpLosX9z4533hUTfkmWd K4l+v9HWbpItYWPAzeFi1UcSv/enypLL2Ni+gi/emeh9cl37+qIqNqqPF5Y+ IPmR2SxZdLyWjTsXLqZ1vSH6fnX+eks9G0rx9Pd7Qkk+rezOG25ho+6JQPQT kl9CfEOXVnWzcax30P4gyc+6oh1C4b1svBh0khgj82Cot0Pm1gE2qu6pnXnm ToMEJ0PgIJ2N0PW9zc/u0CA3PZN4foYNo/Vtl17akvrRw8OOWzYH0/H9Jr81 aVj6UfvT/hVzuDVb7btVnYby8/7H8oTn8MlGZMJNhQbjNsEP9WvmcFn0HIMu T8O5utVH2RvnsK9UQnRoAw1386SCtBXmMKcwsOjCBBUqDy4q1e6fg0y0i8t7 OhVcKl9oZw7OwbclwLCc1EvfDNl911XnwPud7w+9jcxnCf+1hOjMQWWDeqNt AanX4djcZTGHo5f70/SeUcFwZfCcPz+HmfG4/I+PSX03+zLYdmEOIdEpSiMP qfi5fHly4+U5TApFj5k6U1H4oP1wmeMcwkIrYu+R+fGflZtlks8cRmpY7zU3 ULFk6883D+LmMBb0h/dvJOl/8QpC6+fnoKAR2VyzqgOpp6YFqzjmUaSQVf6F owOCSzIFHnLPwzxOWOHKUDtyzhzi7eedR+0Hme7ff9qxiU9jIWXlPGhdwREv b7Sjx9pwWG/bPJpOdntLlrbBXuxqyT2TeUjtm+34Zd+KwoIdRbvM5uFU3fHV +WQrJG/Q82nm89jPEzIuodaKqiLHHC3LeXhVOXocWN2KPbdc0lbZzWObiPHl 15n/MFXp8+mb+zwyHnrd+Mv5Dw+8P3i0xsyDq2YuwvZBM5bd5tE5/30ei9VV w/fZNuPN5WvCPfHzqMn6pjVo2IxkXaUoegrhGvopYalm9AhV53NlzyM8KUbq aH4TdMM5eLfVziPx0r9+BmcTRNIsA27NzuPMDllH90sNiPpacII1N49VCv5S 2XoN2P1mu6Q7xwKeOu/zafmvAdpuU/G+ixdwdHvE7IfZetxTD6x+u3wBYTJr /rN6Wg9aZdaqPKkFXKP21yyPrsP3vvVvBfUW0LFccvXFnzXwfed9rv3YAtb0 Vr8tD6mBtdHwljjDBTxuuiTVeaMG4r9+JeibLeDbz7enV2+twePA04VPrBYQ 07mGYfS0GpcVXo/xuSwg/j3/HW7NKmgMcqS13F2AZwzHgLJ4FSTfX74Xc38B xZrXrjOolWhYup9Hx2sBkwtfr7b8V4kjbQ3ifoELKG09UO+SX4FNXqu0eD4v 4P2Zw3NzMaWY339vWePXBWj2RxpWqZaiebiz5nPsAhY3jTU01JUgyCz57NHE BYxvSt4lNVWMBVmjm96/FiBjp7k4bmMRWjoy9ptmLyAxVKBM8nMhUoM3zm/O W8DC1Piuwq2FsJ8f9c0vWkCbgktq78YCtFYHhnPXLuCuVtAzx4E8pPtMXait X8AqnvPDgYZ5CD5ouS2qaQG+tE+BF5NzoftpZ4pa+wLe9EZtqLHOgfSpEBdh 6gK0bqWcKrmYDa7l8yq0zgUoKPlXSI39RuadihKP/gUM3XaLtivNRMiOfYGG QwsQmY088H5FBm7Qwkw20hdQz+U/nLovDXqvFomNjS0gocjJe373D8joXe3I YRJ7PdY2bpxIwiLOuo9BUwvIOy5yMOFKAig/DtqdYy2Ae3cfZ311DH7ZRe3a PbcAK5EYobKpSLyS5J9YWFjA//++//8AH4A9Vg== "]]}, "Charting`Private`Tag$5524#1"]}}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> Rational[1, 3], Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"\!\(\*SubscriptBox[\(E\), \(c\)]\)", None}, { "\!\(\*SubscriptBox[\(n\), \(1\)]\)", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 2}, {0., 0.8138650363163404}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]]}, {"U=0.2", "U=1", "U=2"}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Bottom}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{3.7715652897268887`*^9}, CellLabel->"Out[16]=",ExpressionUUID->"e364ac39-b73b-4c0c-89e8-e5e310c1890f"] }, Open ]] }, Closed]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Can I find the exact functional in closed form?", "Title", CellChangeTimes->{{3.769749535101581*^9, 3.7697495391650763`*^9}, { 3.7773484899868383`*^9, 3.777348498674739*^9}},ExpressionUUID->"54454a89-2c8d-4ddf-98d9-\ 8412b172378c"], Cell[BoxData[ RowBox[{ RowBox[{"\[Epsilon]", "\[Equal]", FractionBox["\[CapitalEpsilon]", RowBox[{"2", "t"}]]}], " ", ";", "\t", RowBox[{"u", "\[Equal]", FractionBox["U", RowBox[{"2", "t"}]]}], ";", "\t", RowBox[{"\[Nu]", "\[Equal]", FractionBox["\[CapitalDelta]v", RowBox[{"2", "t"}]]}]}]], "Input", CellChangeTimes->{{3.769749264184759*^9, 3.7697492744393377`*^9}, { 3.769749388966833*^9, 3.76974942347818*^9}, {3.769749480470373*^9, 3.76974953147082*^9}, {3.76974991852349*^9, 3.769749927723466*^9}},ExpressionUUID->"0780168d-693c-47d0-bff4-\ dd0bd1ff0c0b"], Cell[BoxData[ RowBox[{ RowBox[{"\[Alpha]", "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"1", "-", FractionBox["u", "\[Epsilon]"]}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["\[Beta]", "1"], "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"u", "-", "\[Epsilon]", "+", "\[Nu]"}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["\[Beta]", "2"], "\[Equal]", RowBox[{"c", RowBox[{"(", RowBox[{"u", "-", "\[Epsilon]", "-", "\[Nu]"}], ")"}]}]}], ";"}]], "Input", CellChangeTimes->{{3.769856907491734*^9, 3.769856957206769*^9}},ExpressionUUID->"957faca2-2398-47c9-bb03-\ 6053968fb684"], Cell[BoxData[ RowBox[{ RowBox[{"\[Rho]", "\[Equal]", FractionBox[ RowBox[{"Abs", "[", "\[CapitalDelta]n", "]"}], "2"]}], ";", "\t", RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"4", SuperscriptBox["c", "2"], "\[Nu]", RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}]}]}], ";", "\t", RowBox[{ SuperscriptBox["c", RowBox[{"-", "2"}]], "\[Equal]", RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Nu]", "2"], "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"\[Epsilon]", "-", "u"}], ")"}], "2"], RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Epsilon]", RowBox[{"-", "2"}]]}], ")"}]}]}], ")"}]}]}]}]], "Input", CellChangeTimes->{{3.7697492821883307`*^9, 3.76974929981513*^9}, { 3.769749592277866*^9, 3.769749608405692*^9}, {3.769842070462558*^9, 3.769842073438758*^9}},ExpressionUUID->"12fd4d04-5d0a-40d8-b533-\ dbe466c2101b"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"\[LeftBracketingBar]", "\[Psi]"}], "\[RightAngleBracket]"}], "\[Equal]", RowBox[{"\[Alpha]", RowBox[{"(", RowBox[{"\[LeftBracketingBar]", "12"}]}]}]}], "\[RightAngleBracket]"}], "+", RowBox[{"\[LeftBracketingBar]", "21"}]}], "\[RightAngleBracket]"}], ")"}], "+", RowBox[{ SubscriptBox["\[Beta]", "1"], RowBox[{"\[LeftBracketingBar]", "11"}]}]}], "\[RightAngleBracket]"}], "+", RowBox[{ SubscriptBox["\[Beta]", "2"], RowBox[{"\[LeftBracketingBar]", "22"}]}]}], "\[RightAngleBracket]"}], ";", "\t", RowBox[{ RowBox[{ RowBox[{"2", SuperscriptBox["\[Alpha]", "2"]}], "+", SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "\[Equal]", "1"}]}]], "Input", CellChangeTimes->{{3.769841802182992*^9, 3.769841846847291*^9}, { 3.7698420472232018`*^9, 3.76984206210172*^9}},ExpressionUUID->"491932cf-5df4-4c5d-90d1-\ e7e7984e47c2"], Cell[BoxData[ RowBox[{ RowBox[{"T", "\[Equal]", RowBox[{ RowBox[{"-", "4"}], "t", " ", "\[Alpha]", RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", SubscriptBox["\[Beta]", "2"]}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["V", "ee"], "\[Equal]", RowBox[{"U", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], ";", "\t", RowBox[{"V", "\[Equal]", RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], ";", "\t", RowBox[{"\[CapitalEpsilon]", "\[Equal]", RowBox[{"T", "+", SubscriptBox["V", "ee"], "+", "V"}]}], ";"}]], "Input", CellChangeTimes->{{3.76984184954419*^9, 3.7698419288661757`*^9}, { 3.769842024390863*^9, 3.7698420690548353`*^9}},ExpressionUUID->"2a6911eb-a8ba-4552-98c1-\ 548452180c06"], Cell[BoxData[ RowBox[{"\[CapitalEpsilon]", "\[Equal]", RowBox[{ UnderscriptBox["Min", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}]], RowBox[{"\[CapitalEpsilon]", "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.769842098165579*^9, 3.7698421461091003`*^9}, { 3.7698424077719917`*^9, 3.769842410283205*^9}},ExpressionUUID->"98f5b336-8037-48d3-8869-\ 17ecdcb7022e"], Cell[BoxData[ FrameBox[ RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"2", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], ";", "\t", RowBox[{ RowBox[{ RowBox[{"2", SuperscriptBox["\[Alpha]", "2"]}], "+", SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "\[Equal]", "1"}]}]]], "Input",\ CellChangeTimes->{{3.7698422009081163`*^9, 3.769842212245055*^9}, { 3.769842404899975*^9, 3.769842420122011*^9}},ExpressionUUID->"56eb8e62-587a-4a96-a2e8-\ 8921cb6868c8"], Cell[BoxData[ RowBox[{ RowBox[{"F", "[", "\[CapitalDelta]n", "]"}], "=", RowBox[{ UnderscriptBox["Min", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}]], RowBox[{"(", RowBox[{ RowBox[{"T", "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "]"}], "+", RowBox[{ SubscriptBox["V", "ee"], "[", RowBox[{"\[Alpha]", ",", SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "]"}]}], ")"}]}]}]], "Input", CellChangeTimes->{{3.769842225590481*^9, 3.769842252260337*^9}},ExpressionUUID->"0cccfbcc-0c89-44cb-9fb6-\ 0fa02b5de69e"], Cell[CellGroupData[{ Cell["Hopping term parametrization", "Section", CellChangeTimes->{{3.770375099639124*^9, 3.770375104330186*^9}, { 3.77037514477409*^9, 3.770375146600873*^9}},ExpressionUUID->"c6c951b2-6dbf-4587-bcd8-\ d50a1c2fcf35"], Cell[BoxData[ RowBox[{ RowBox[{"f", "[", "g_", "]"}], ":=", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", "g"}], "+", " ", RowBox[{"2", "u", " ", "t", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}]}]], "Input", CellChangeTimes->{{3.769749802523831*^9, 3.7697498795468903`*^9}, { 3.769749929219894*^9, 3.769749931162633*^9}, {3.7697500459946003`*^9, 3.769750046578343*^9}, {3.770374350851*^9, 3.7703743540347137`*^9}}, CellLabel-> "In[1143]:=",ExpressionUUID->"21d9de25-b0db-4f50-86c5-9d5c83945bbd"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"min", "=", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"res", "=", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{"f", "[", "g", "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], ",", "g"}], "]"}], "//", "N"}]}], ";", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"g", "/.", RowBox[{ "res", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{"res", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "//", "N"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "50"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.770355348192564*^9, 3.770355411408017*^9}, { 3.7703554904566393`*^9, 3.7703555593208637`*^9}, {3.770355600629633*^9, 3.770355614226286*^9}, {3.770355800639642*^9, 3.7703558217746773`*^9}, { 3.770355976864441*^9, 3.7703559849572887`*^9}, {3.770371708970953*^9, 3.770371709183662*^9}, {3.770371761399919*^9, 3.770371761641489*^9}, { 3.770374520045517*^9, 3.770374528003614*^9}}, CellLabel-> "In[1144]:=",ExpressionUUID->"65d055cd-99ee-4f1c-b46a-11f49be48b85"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.8944271909999159`", ",", RowBox[{"-", "1.2360679774997898`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8944818727546856`", ",", RowBox[{"-", "1.2348975352786735`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8946388354813966`", ",", RowBox[{"-", "1.2313907127654453`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8948774141157846`", ",", RowBox[{"-", "1.2255607733578913`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8951650023277479`", ",", RowBox[{"-", "1.217429024142825`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8954594662121281`", ",", RowBox[{"-", "1.2070237210137134`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8957119477447252`", ",", RowBox[{"-", "1.194378717270685`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8958696772685011`", ",", RowBox[{"-", "1.1795319889365852`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8958784934950795`", ",", RowBox[{"-", "1.1625241577955332`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8956848859924613`", ",", RowBox[{"-", "1.1433971060343395`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8952374901616379`", ",", RowBox[{"-", "1.1221927434898864`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8944880535829751`", ",", RowBox[{"-", "1.098951957352983`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8933919469574254`", ",", RowBox[{"-", "1.0737137491800688`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8919083160804028`", ",", RowBox[{"-", "1.0465145467217705`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8899999722250839`", ",", RowBox[{"-", "1.017387667870317`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8876331064047389`", ",", RowBox[{"-", "0.9863629094273495`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.88477689569542`", ",", RowBox[{"-", "0.953466232633754`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8814030519695466`", ",", RowBox[{"-", "0.9187195189197243`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8774853475815296`", ",", RowBox[{"-", "0.8821403719333465`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.872999139735713`", ",", RowBox[{"-", "0.8437419447741636`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8679209054963746`", ",", RowBox[{"-", "0.8035327739862583`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.862227792253806`", ",", RowBox[{"-", "0.7615166039631148`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8558971833641151`", ",", RowBox[{"-", "0.71769218682915`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8489062750560903`", ",", RowBox[{"-", "0.6720530435058617`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8412316580344558`", ",", RowBox[{"-", "0.6245871714810035`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8328488950734688`", ",", RowBox[{"-", "0.5752766836983292`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8237320839234629`", ",", RowBox[{"-", "0.524097360847956`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8138533927213983`", ",", RowBox[{"-", "0.4710180959603678`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8031825524864427`", ",", RowBox[{"-", "0.4160002052715591`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7916862878388877`", ",", RowBox[{"-", "0.35899657234438803`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7793276623619421`", ",", RowBox[{"-", "0.299950582662351`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7660653084243888`", ",", RowBox[{"-", "0.23879479223767908`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7518525019168162`", ",", RowBox[{"-", "0.17544925449008486`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7366360288934853`", ",", RowBox[{"-", "0.10981940211989485`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7203547714809507`", ",", RowBox[{"-", "0.04179334077474352`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7029379112915959`", ",", "0.02876164766656246`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.684302604502044`", ",", "0.10200368336033264`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.6643509144735504`", ",", "0.17812237705420578`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.642965679133366`", ",", "0.2573470762799487`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.6200048119883008`", ",", "0.3399582749852519`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.5952932322138834`", ",", "0.42630380180815924`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.5686110809543881`", ",", "0.5168224827025729`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.5396758775496078`", ",", "0.6120799867232916`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.5081142847445731`", ",", "0.7128255437374857`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.4734149311671227`", ",", "0.820086683549543`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.434843907035091`", ",", "0.9353388476168183`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.39127876246106436`", ",", "1.0608383757060977`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.3408372870616952`", ",", "1.2003666550668077`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.27986487687909506`", ",", "1.3612586747878739`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.19897004169248153`", ",", "1.562339566468089`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "2.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770355379536401*^9, 3.770355418067244*^9}, 3.7703555334015083`*^9, 3.7703555668294363`*^9, 3.770355610818757*^9, 3.770355647029393*^9, 3.7703558265265503`*^9, 3.770355989934174*^9, 3.770371716157469*^9, 3.7703717690130787`*^9, {3.7703745238063602`*^9, 3.770374533112028*^9}, 3.770384311032898*^9}, CellLabel-> "Out[1144]=",ExpressionUUID->"2159faae-7d81-471c-8fe0-de79ff306d10"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Levy", "=", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"res", "=", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{"f", "[", "g", "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], ",", "g"}], "]"}], "//", "N"}]}], ";", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"\[Rho]", ",", RowBox[{ "res", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "50"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.770384233845168*^9, 3.7703842764501762`*^9}, { 3.7703843091844807`*^9, 3.770384318646904*^9}, {3.7703844161286583`*^9, 3.7703844164968843`*^9}}, CellLabel-> "In[1146]:=",ExpressionUUID->"9d038f75-ded6-4da4-b473-a9988db83c39"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{"-", "1.2360679774997898`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["1", "50"], ",", RowBox[{"-", "1.2348975352786735`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["1", "25"], ",", RowBox[{"-", "1.2313907127654453`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["3", "50"], ",", RowBox[{"-", "1.2255607733578913`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["2", "25"], ",", RowBox[{"-", "1.217429024142825`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["1", "10"], ",", RowBox[{"-", "1.2070237210137134`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["3", "25"], ",", RowBox[{"-", "1.194378717270685`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["7", "50"], ",", RowBox[{"-", "1.1795319889365852`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["4", "25"], ",", RowBox[{"-", "1.1625241577955332`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["9", "50"], ",", RowBox[{"-", "1.1433971060343395`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["1", "5"], ",", RowBox[{"-", "1.1221927434898864`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["11", "50"], ",", RowBox[{"-", "1.098951957352983`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["6", "25"], ",", RowBox[{"-", "1.0737137491800688`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["13", "50"], ",", RowBox[{"-", "1.0465145467217705`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["7", "25"], ",", RowBox[{"-", "1.017387667870317`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["3", "10"], ",", RowBox[{"-", "0.9863629094273495`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["8", "25"], ",", RowBox[{"-", "0.953466232633754`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["17", "50"], ",", RowBox[{"-", "0.9187195189197243`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["9", "25"], ",", RowBox[{"-", "0.8821403719333465`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["19", "50"], ",", RowBox[{"-", "0.8437419447741636`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["2", "5"], ",", RowBox[{"-", "0.8035327739862583`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["21", "50"], ",", RowBox[{"-", "0.7615166039631148`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["11", "25"], ",", RowBox[{"-", "0.71769218682915`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["23", "50"], ",", RowBox[{"-", "0.6720530435058617`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["12", "25"], ",", RowBox[{"-", "0.6245871714810035`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["1", "2"], ",", RowBox[{"-", "0.5752766836983292`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["13", "25"], ",", RowBox[{"-", "0.524097360847956`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["27", "50"], ",", RowBox[{"-", "0.4710180959603678`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["14", "25"], ",", RowBox[{"-", "0.4160002052715591`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["29", "50"], ",", RowBox[{"-", "0.35899657234438803`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["3", "5"], ",", RowBox[{"-", "0.299950582662351`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["31", "50"], ",", RowBox[{"-", "0.23879479223767908`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["16", "25"], ",", RowBox[{"-", "0.17544925449008486`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["33", "50"], ",", RowBox[{"-", "0.10981940211989485`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["17", "25"], ",", RowBox[{"-", "0.04179334077474352`"}]}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["7", "10"], ",", "0.02876164766656246`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["18", "25"], ",", "0.10200368336033264`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["37", "50"], ",", "0.17812237705420578`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["19", "25"], ",", "0.2573470762799487`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["39", "50"], ",", "0.3399582749852519`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["4", "5"], ",", "0.42630380180815924`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["41", "50"], ",", "0.5168224827025729`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["21", "25"], ",", "0.6120799867232916`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["43", "50"], ",", "0.7128255437374857`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["22", "25"], ",", "0.820086683549543`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["9", "10"], ",", "0.9353388476168183`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["23", "25"], ",", "1.0608383757060977`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["47", "50"], ",", "1.2003666550668077`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["24", "25"], ",", "1.3612586747878739`"}], "}"}], ",", RowBox[{"{", RowBox[{ FractionBox["49", "50"], ",", "1.562339566468089`"}], "}"}], ",", RowBox[{"{", RowBox[{"1", ",", "2.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.770384279452022*^9, 3.770384323272213*^9, 3.770384421182428*^9}, CellLabel-> "Out[1146]=",ExpressionUUID->"a1472abb-da2d-4e4e-acab-444dd5b34f17"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{"Flatten", "[", "\[IndentingNewLine]", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", "1"}], ",", RowBox[{"u", "=", "1"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", "g"}], "+", " ", RowBox[{"2", "u", " ", "t", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}]}], "\[IndentingNewLine]", ",", RowBox[{"{", RowBox[{"\[Rho]", ",", RowBox[{"-", "1"}], ",", "1", ",", RowBox[{"1", "/", "20"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"g", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{"min", ",", RowBox[{"PlotStyle", "\[Rule]", "Black"}], ",", RowBox[{"PlotMarkers", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Medium"}], "}"}]}], ",", RowBox[{"Joined", "\[Rule]", "True"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{"Levy", ",", RowBox[{"PlotStyle", "\[Rule]", "Black"}], ",", RowBox[{"PlotMarkers", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Medium"}], "}"}]}], ",", RowBox[{"Joined", "\[Rule]", "True"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "432"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"864", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"80", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"768", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"240", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"144", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"8", "-", RowBox[{"72", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"4", " ", SuperscriptBox["#1", "5"]}], "+", SuperscriptBox["#1", "6"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}]}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.770128916968545*^9, 3.7701291441144123`*^9}, { 3.7701291879812527`*^9, 3.770129197171255*^9}, {3.77012927118311*^9, 3.770129312093254*^9}, {3.7701296966049833`*^9, 3.77012983518848*^9}, { 3.77012986997206*^9, 3.770129875589943*^9}, {3.77012998308843*^9, 3.7701300153006697`*^9}, {3.770130045591978*^9, 3.770130067574484*^9}, { 3.770130126663423*^9, 3.770130157205965*^9}, {3.7701301997089043`*^9, 3.770130256375443*^9}, {3.77031451710737*^9, 3.770314551909052*^9}, { 3.770314645755912*^9, 3.7703146533792467`*^9}, {3.77035582730647*^9, 3.770355870598301*^9}, {3.770356151684104*^9, 3.770356182155067*^9}, { 3.770363505798993*^9, 3.770363507410572*^9}, {3.770363723558613*^9, 3.770363731317477*^9}, {3.770363862588332*^9, 3.7703638927495937`*^9}, { 3.7703639926987057`*^9, 3.770363995031155*^9}, {3.770364075657816*^9, 3.770364102435101*^9}, {3.7703641431133432`*^9, 3.770364143750718*^9}, { 3.770364184140699*^9, 3.770364190019437*^9}, {3.7703642231344748`*^9, 3.770364227624208*^9}, {3.770364297384602*^9, 3.7703643012351427`*^9}, { 3.770364401201964*^9, 3.770364405830385*^9}, {3.7703644597733927`*^9, 3.7703644614483843`*^9}, {3.7703645824091043`*^9, 3.770364584885293*^9}, 3.770365204234007*^9, 3.770367474937028*^9, {3.770367591327022*^9, 3.770367637414587*^9}, {3.7703676918687763`*^9, 3.77036772902442*^9}, { 3.770367846890003*^9, 3.770367899601215*^9}, {3.770368163647591*^9, 3.770368184417494*^9}, {3.770368217841505*^9, 3.7703682610851994`*^9}, { 3.770368347455324*^9, 3.770368349850045*^9}, 3.770368526341693*^9, { 3.7703685800353622`*^9, 3.770368595521796*^9}, {3.77036883046472*^9, 3.770368854950062*^9}, {3.770369258656804*^9, 3.770369273609886*^9}, { 3.770369582680231*^9, 3.7703695863932323`*^9}, {3.7703696266925907`*^9, 3.770369627528777*^9}, {3.770369708474483*^9, 3.770369734789874*^9}, { 3.770370057006731*^9, 3.7703700914233227`*^9}, 3.770370128097443*^9, { 3.7703705150352793`*^9, 3.770370541380187*^9}, {3.770371713596178*^9, 3.770371764884719*^9}, {3.7703720704098186`*^9, 3.77037207098066*^9}, { 3.77037242932125*^9, 3.77037243279978*^9}, {3.7703724780599127`*^9, 3.770372478543988*^9}, {3.770372524229458*^9, 3.770372554308427*^9}, { 3.770372646777398*^9, 3.7703726508493223`*^9}, {3.770372819832122*^9, 3.7703728241592703`*^9}, {3.770372876324524*^9, 3.770372883759719*^9}, { 3.770374538574603*^9, 3.770374605919489*^9}, {3.770374635984799*^9, 3.770374738871607*^9}, {3.7703748499501762`*^9, 3.7703750020664463`*^9}, { 3.770384289414452*^9, 3.7703842916864233`*^9}, {3.770384530858617*^9, 3.770384531284012*^9}, 3.770384565491939*^9}, CellLabel-> "In[1150]:=",ExpressionUUID->"b720e1ad-c893-4e83-b33d-2ff0521eee60"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[{{2.040816326530612*^-8, 1.999999959183673}, { 0.000015355283783083483`, 1.9999692891966492`}}]}, Annotation[#, "Charting`Private`Tag$2800523#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwBEQLu/SFib1JlAgAAACAAAAACAAAASmXo0cDpVT6THwv1////PwRDGnDf GTQ/S/9Zn3z9/z8zn5icsxlEP+pqOwD5+v8/S83Xsp0ZVD9wPrbl8PX/P1dk 972SGWQ/fgaRP93r/z/dL4dDjRl0P4cZLi+o1/8/oBVPhooZhD9KQDYDB6// P4EIsyeJGZQ/Svd/0ehc/z9YWaGv8PGkP1KjfWrzpv4/C/+BXEcerz95MdQN TPj9PyVR7ujDi7Q/hr4CXr5I/T93zjk/mPS5P45CCHqshfw/F7QR3gEBvz9H V7ylhMv7P7biQ8zPPMI/jDqHA6f9+j/Cap0bWezEP35IzK3LL/o/9SY9D61t xz9IJ/JB42z5PwL5qxAbJco/+iTdp/6W+D82/2C2U67MP3Lc2TSezfc/zIQ0 zsYqzz+eGJAsdAf3Px+Q6/mp7tA/BOE+7/Yw9j/r99/e1TDSPwh65lWMa/U/ pOq7yg6O0z/pGv0IRqD0P26XTyNqk9M/SADtOWid9D83RON7xZjTP0YuggqP mvQ/yp0KLXyj0z8lGLQM7JT0P/FQWY/puNM/PD2HxPGJ9D8+t/ZTxOPTP3sg nhoodvQ/CGSKrB/p0z8Rxqb7HXT0P9IQHgV77tM/9cWZHU5y9D+cvbFd1vPT P/yg5bfgcPQ/ZWpFtjH50z8SG1EQX3D0P85Aj2Lf+9M/MeaLVEhy9D8HTgmJ "]]}, Annotation[#, "Charting`Private`Tag$2800523#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVzn1Qy3EABvCWdynJ64atiMo5b6XjznpKUcelE/NyKqG85G1I4jhkV3rR VXMaQiVvV9ahFpcxWnGTWjXC97Qwpeb3a7OtWlM/88dzz33+ee7x2Hk4Mt7R wcFhsT3/e038ryZFlyBAzHOyMAyD4cEcoZbtB87z8PzTgwx8b0kKnrBDoO8e 294/wGDt+9bHN9gboYi2xBksDDbH9cnz2HFw5easIHoGXxemBV9iJ0K+Z+ns wlYGhZMjUjPYIrztUrZ0SBmcH/3EK519GXMTwzl7oxhs2VpUbjCWoMDwRa0s GYITcz4qlFuO1vRjBadNg5iznv5Vk1kB4W1uUkzgIE40LIfE/AxqXvlNQfJf TK2Y0MZivQR3f8NL0VMbZN+D6xtXvEahb5h3/I8BvE64MX3rbyWULGlUkPMA LHP54x8efANFcV1VRpAVjtZS1+lzVLhcKSpqju2HPxMr2yCtx5CwU9Kb2Yd6 kV9D3bxGXDBO8DM+7QUvR299QKuhFm+/wmq2QN+nbfuwqBluAcnSLVYzSrqr VS7ZLeDf9ze7uZgxOmkyq9PWArd8p7KVShNcZt7r0ek0kB1wKH3kZULWvsrd hZ4fofOpoZIj/6A3sFS392wrftYGZeQfMiJxibJiSs0nSMVvhofdMkArVWY2 eXxBWmqI4VxeD2wJmus+pwjEm/P4Gk8aG/2jcxecJfCWS2ZcdadRxupI9RUR VByvtAhn0IiR9B3hZxOMpNtPbJ9Eo2rXuT0rxQQzhR35J11puC4cEx0qIbgr oGQPx9F4VcsJW19MoL14fN2hETQ4ubf5m+4R1O8M8mE50jgaNd93WxnBldAm 5+ohCu+8Kr1jHxGMitRNLbJR8DTxufEygkUu00qe9VM486JuYkI1wYXSb6px vRQ+pkeMOawgMASqeXdMFBYIPg0dqyVQxczqzjFSSHPfYU5WEXhEFIfoeii0 67u6zjQSbApIcpfTFJZVHdWmaOw+yZevtTs3xaZJ+0zAe2+Vd9rdHS5SZbUR rF6VslRg3wtmOytyfxA8CJgnO2D/I0n4Wi3+SbAuO9F8bRiNf/PKoCc= "]]}, Annotation[#, "Charting`Private`Tag$2800523#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVk3k01Wkcxt2mxYySCF1qRFNjC0mhMR7cjBIzJZKyJa6lhDI6NGgx1tKI meGQsnSbRrlDVyIiSxnHlpQR3ftm/K41S2Urtzvv/PGe93zP+Z7n+TzPe15N nxAnv0UyMjJO9Px/2/sNPa0ddrG8oiE3LZVKsZijFipim8AtTpD6k0SKrdcy c+6yd0K+gFc990GKPa3dpVfZztCP9uudmJbC1Xe2+grbF5Vazio9o1K8Mkzg XGKHw0PdI/n3bimuK/8Qn8yOQ5RSTlhDsRTnZO9+ncTOwPonvELhYSkOuuXx J6cKkeg4sjks/xPkpOfc7b7kI/6OsNxzXIKN+8aH6lMEiDDhl0ebSnC6zRyZ 7yuwXjv/ACdoAaqCVUIWqwb5JalrMws/4l4/p6Xdog6ZZQEPVzd9QF3QVXW3 sQbEtA0bFA/PY3rTtyvvBD/BYqHqkkDleSyaL1JQ39iMh2dfzyTozmG71Pve /uIWhBctlPjumUVLnEnbY912DJX0mF0JnoHGL6Pzt8Y7ENBqU8qOmsborEj4 3KgTxMN2ZjLjPQpHHjTLpz6D719Zgxuy30E2Qpk1+PEZ4mI6fbwc3kF+3c2J gYEuNKZE7HO48RYXA8u41796AU915VbL2inMWBUNBMR2w5Y1dfl90yTCjRsE KvX/oNbGoNG6aQKi4oaUp5ovkbT5bPpy0Rt8DOrK1onqRYhcsOkx2TEcVtlR mcv0Qj7wkUJ65Cj0rJd94j7oQ6Cqyg5fjxHY5Wv6l6gK0a4Rdl4mbwin13lp vXYXgdN3OTd57SB89hod6DsigoPVtlyhyiC+v8BK7uaKMLZp3GrbqkFsGi6Y ag0VwZgsuzSyZBBdgqHayjgRdHd/pxIxIYaRw0mvjNt0f2ma3pp6MYaifs6x WxDhRGyfpOW4GCMH9ALyZAi+2PWvdoK/GN6TSos0PiOY1NW3s/URY88GZpua LEH44mPZra5iaCUlXFVQJNAyXBGswBGjw7nluGQjwcU3cvdPqImhP+Yi1+1I wDNfpmPcyuC+s0NN8l6C8x2uwUZNDDjVNqcs9xM4+6XBtJ7BoVTD3hsHCbSF erFeFQySjD4vCj9K9bv2l2vyGKzOknpqcymftxbvWB6D66wZxb4AgrhmE+/a HKrf2R/FOUGwnjd7IyWdgTi8yl4xkmCEX98hOMfg5KvST41nCPSbh5y9oxlI bG+VRsYQCC+XGahFUn3V39ReX6CzbsiuB6GUryJkhJ9K/RRc0h97M2jT5OYe TaN5VMbl5twpb7K7k2oGwUsbBbalG9U/vLsyJosggCUTv9yJ8km0kh0LCaps W0jPTgb6XLYl6yZBm6593QtrBuVtK98KbhEURp/3m7ZkYGO6lBdwm4AbFBVp ZkH9ri24reUTzBmWKhSYUz/Zdys6Sgi+HLxzz8yU5gsdfnRBQLA9g0mRmFD/ HtGPpuW0D//soBljms/6hc5oBcEf2s5rdLYwSPyz5VVuFcHbcn5SjiHNq1Sf 5lRD+4+qtnYzoLxnKmyX1hEs92rqDdxMeQf48xUNBL6/OvX06tN+HXj0exIE NQr6a+nMKcs5otlM/R8XPDOi+23r0pWft9D3+mbEwZHqHYpP+juxncCTsQvf ZUR5x2OjLToJEiP6LU5tZRDmGrFlsosgt9xF6YgZg4Wa40xBNwFJ8vX3sKK8 2kezXF/SvjoP9djvZVDBnS/Z3UugaB5TFe7F4D9JYZ2O "]]}, Annotation[#, "Charting`Private`Tag$2800523#4"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVU3s01fkWJ9yOFPKIQxiEyqFWyVQeH68ScpPHIERKoge3zJSrx9G4zZRn MsbyygkxGUQxyRglIxmJUqrveTi/n+l6h7zTOfd3/9hrr8/a67P357PX3obh Md4Ry2RkZI4x8f/sHjHY82jIzz7TQGlGKpVC3lknVsS2wpn+j0nnv0ix9WZO /j22C+40Z2XPL0rh8byvtoDtC/9DBvg4I4X/kbmmTPYR5HIcSt+MSCHY9INz KjsOfRmb2lL7pCjS3HflGjsJEqNH4QVVUiSy7pldZWehIcH+ilOQFAGBvOqJ yRIUzrx1eH5TAiVpYrCrfjVsQp5vyxz8ApP944NPku/jWv61ktMWX3C2awdy phvQdvllRviBJWjdXy2UlW1GlvetnyzSPqOecu58YduClvIz2879soiW6ALd wNFWtHevy/3yeAEzpnYqlSefwrr3XXT0wDyWLVSo6pp04JRBHps3PgdraVi9 T1UnuF26eUXyc+hMsupq2/gCgu0pyT/rzsIgY2Thl/Fu2K9oTj+qO4OROZHw 9eaXuKMW7zS0YRolw40dymmvcHBcbsrN6BNY32nK/vfzK0ycaPdhvZiCsl7Z x4GBXiwkLP8Qoz+FlKi6o0Xr3mBXVITMkPkkZh0qBo5d6sPgSOD2iyYTiNvS en/Nk7ew7Bv0Eh0eh6iqNbnH8D3iJ1N5VMAoPkf35m34N8ETQWHq7oPDCFqz 82Hh3wQxDdqpgpYhmDsulxxt5MO8KHCkKnUQrrcMI2u0hFDau2+dGu8DzuqF GomDRagLinc1owbAGfVT6vPsh07Cktt+GxrcPydCIkk/wnne1uS1GOoqE6zW xX4c4AXq3LkihnxzXrVxvhgdW5rEwUr9eG/rskdUKIZl8cbv7RT6Uf1wtD+X J0Z5qfsOJ4kIB+rt1NTKxAhz17tF/S1CTaUoTqZWDA6Mxk7UiXAw33in4KkY reVnMu/5ifAgvqI1+5MYvRqXOefyhEib8wnxnhXj7pT0J40MIQ5/uzSzakGM +yeSFBqShFD+l6fZfyRicMeGvHROCRFx7OPVM4oUHqn6cBwdhVDz37rPy4DC 9qmR/dZDAhy3anyn6EGhU9Iul+UgwKPu178+8KRwrOdu78/WAmienLgU6UUh K93lmzKOAM2lJqZ/+lFYWWFuOqwtgLpWxmluGIV1y4Th8lN8NC4cUZr7loLV +r/GGm/zoZp9SVh6jsKPEb+N3ijgI2JLbo1vAoV2BVP3hCw+VI6/8K/lUrDd qecff5mPw/wdJSeTKXBdDPk2oXwoNSvbDRQx+hUq1m9ay0dY0AbVG8UUVJuy z63X4KNuzpl2vM3MOxtW+fVKPkI3x1+9WUFh2uCiVu4SwT0e/fpAPYNrN/Zw hQQse0m5YgPD13dbZtNHEPJe+/yDRgr5up7XVbsJlqv/02jNY2YfyVNOq1sI gpIenOr5i8JSSo5jUhnB3a9eOXK7KOxJd46y4hEoNI1pbOqhEJvoFsXKI6ie MWpMeUMhQKYzxzCdQD7TLs3mHeOn3pIfdZUg0DLg0DChEJypZ8L/nkAuMnX5 HjGF32dvu++OJwiQK38/S1MoT97u7hRHUHmzpbL0A4X5Wm5hbAyB/9s5H7lR Zp9jmiWnjhL8GqdmVjtOoahp2MAlnEB2tcVi2CSFtWPJ2f4HCSrcwov+mKXA iq654OpPYMUxtMcChb0VZcmhvgR/KPeT5s8UerUVt/2+n8B1sjDeQUJh0FYq PbSPoPtViNZjGRolMZ5Lfp6M/vq1dY5yNGy535ECDwIqh3i3KNAIu8RTdnAn OJ6QO+HEopEyLzvq7EYwHRKY9mQF80cG1sKaPQQXHLQ5LqtoFKko824w+B/G fc9aVWjkfFOTMc3gDIXsyF1qNOK+Oq5GMXz2oK9CmwYN1R51oxPMvFsd6sW7 tWjsVVTTvM3o4VS+dHjKZuoe7KoyL4K69OtC17U0XCQPq9IYf/anvc6369OY d1uxLTGQ4Kmvio6bIY3+hMy4mlACr6+7fntmTOPuqovU4UiCd+xUP3dTGud5 u00XYwnClzw+daynEZz8YRfrAsGIcMV1D3OmHzH+dDmFIO7xM8tOC8bfymrX Hcw9SIp/7Ny7mcHFi+VpzQQ/XHGNfr6FRq+E8jCTEPjMTCRabGX4MW0bY/X5 +B9Zo0xT "]]}, Annotation[#, "Charting`Private`Tag$2800523#5"]& ], TagBox[ {RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdkwk4lWkbx1UqIZEsR5Y0ZOjUlEylL/71yT62aVPZaiSakSUNWj40pYXU GGUPpSlSyDKiRBhy3rNwcBQdy3nPQaQj2Z3OvPM91/Vcz/W//vf93L/nvq9H /1jQj8cXysjIhFP739Ph+GBLzdB+y0Q9hQmpVApZK63gHpoZ6JKzkeclUmzJ Sskooe3BzHyt//SsFI5M3rNM2j7cW9FxZXRCioO+Uy8Tab5QzljTxB2W4v13 V6xu0MJgMd/rdpEnRbaaS+x12iWUqxonBT2VIkauxOgaLQldjp5n4g5L4X4o p1A8lgu6Yfu2soyvUJDGeNjqFmKXe15WU58Ehm6jg3VxpQieDmwq05cgnGWO lC/PUd5tN/fedh4apSr8BQtewW7moCItbA7l/VYEe+drpDWc5E9ensXrk5mr D43U47/yS8x0k2Ywsc5ixZPARjiYR6nJFExj4cxj5dWGzchfw5NO5U1hq9Sn fO9TAuXKbGNRySSIS2asv03YOM6TXr9RPQG9W8MzeaMcrO28+ehO0RcMT/Xw 2ze14pYJbCeLx5H7oapZKYGLT74/GJDpnyH3q9qCgTkuEjV/rFfc8xlKOg8/ kWQbzp775knltTHEB5T5ZRt0gL526wvimhiTux6T/lE85L8xkt4bGkWYaX2p el0nOJ/Vve0HRtDztD6uRf8d1icFVj6s/oC5k23pxme74K05kpj55yCOqO+o vCvsguIv2tatCwaxfvfSr35V3Sgs9zoy/VwE23v6J4o1+OC5fZ9S9YREuI73 2j6PHgyFK4e6svtBH9mvwHPqhbytrELokj5EN4g9T3T1woNp6BA1x4fqCrFc /Wwvun+7cjjaiQ/ZV+mF32T0QTF01vj82Dv8bFb1dpljP2q8pv/in+Phsf2x 7OrJfpBqIVPhbm0wo+tbYqYfSRN0lw02bahW6u16NdcPj467QtGONnC4nhq1 MgLsyi4g/Qza8MXzUEKdvAB2FUNNaVNcWIa6nm/SFaBTV8Wed5eLLf9fAjRl Ga2k2XDBSbN0b7URYP4nxUK2uBUTw1rKojsCKL5ZpxuQ24KkzIHGjFQBek0e Bd1IbcEWl9KovRkCiCtCDZ4ntCDkmdOnmhwBOEfNJ9dFtuBjRDQrvUAA14RL Ek/nFggXi+LdXgvQVs3LspvloF2veNnLjwJsdz36MtWdg7CWC7WnxQLsHOi6 yHLmQPU3h0iTcQHcGy/sXm7NgZtIMJg8LUCw+QutvM0cMAvUm0IXkbjltvW0 pwIHDebnY7+lkahgJrrmxbBRttd2UdIeyn+/3lXlJAtXHSsua9uS8BcOWGUc ZsHDyljugT2Jb7Xm43Y7srBwi8LycmcS0xdiC7rpLDivZKt3upPoXZ/81meM iUHOARPtQCo/58SaZdFMVDU1FuQGkZDr/+QaFMpEQs327zaEkvCJFT2b8mXC rEjLzDKcROeli2khDkzE3ORb+MSQSPGzoOtoMKHl7OeWe5uEeHPN/UUVBD5a 87j0FIr3durvAwUEaizsDpSlUXwPft86l0PAb4PJkb+zSLiWBR0ujydQojjq O5hH3d9+c0W2L4FYWe+B4AISHK+QQMMjBA7PswNmnlI8V+fChW4EZEaKT8mX UvxrEvy1dxH4gXEmgl5N4qpn+9s0PQJ6daLZ0hoSg98/tDTRJPC58uAFizoS 25/FPpFVIZCab37RuYni3bjb7sEiAr/cy5flNVPvydfYFCJhYFfa6iveTCpf V5LzxxQDomuSuOBWqn67TsfQCAPPY04pzbSRCD79YrnhIAPxkT23YngkHtHX NTYIGPAOcVWVf0fFF6pGcHoYMA2ovZ3YTSLbU11s383A4qOmmqt7SKy5yT+2 7S0Dne730+73/cu/MuxuBwMFrqt06CTFt3Wh9eU2BqLsLmeViij+krRLn1sZ aPXy99g0RELm+scdYy0MGJxxpBUMU/1KEZREUTo8bmOH0SjlPyr6z5+Ubs5R +eO+mPKrlGcDqXztii8ueuMkIrwTVPu4DASxeIrpE5Q/mtgiT9V/TVa+UZ8m 4W6zlDvVycCquczYxFkqvpFvW07x+6nEWClJSNjtL91xoI/qh5GvzHUpNU+n +pEhEQOKlrYvFy8UQi7A1CH2IwNe+0zOxsgK4aM//j+rCQaKTi7fJlkiRIW1 U4XFVwYWxYjHI5YJIXY5Y3BHjsCBZG7RFwUhiiwuO4StIvDoSXlgsJIQMpEu gqVrCczWpZqMKAsxuDH6dNxmAk7vzg+cUKW0ZaSKnRWBbLF3rkBNiODiAKX0 g9T8l1gd9dak6jl1s7+eIrBHZ51ul5YQnfz9XrTrBJK3LOs6oCNEis3Po+15 BD7YjyS36lH81bKZt9kEdvqw9zmvpXRc/lCyhEDCr89Umg2E6I36Oiy7nYm+ +NssayMh/BsSjp27Sv2X+xFxtcZCZDsqR5tqsFDvX3zWx4TSRRPO9YEs/APG xtqg "]]}, Annotation[#, "Charting`Private`Tag$2800523#6"]& ], TagBox[ {RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlQk01Psbxpm6km6WsjSlKEWFsrXZntJCo/51SZaklCKixdZ2Q6ESNbfc ji6zMJF9X7IkTIh0ibKUNGQmGXvJbu63/5zzO3Oe83ze532/3/P+zm/liXNW pyhiYmL3yPPrn3aq523ZNxtTusqCUZFIhLk7l57/TDVAnG2Rx7UZEfRZUTE5 1F047lCmOz4pguWblmwG9RDGWG9T+kdFsHUZe/6A6oJT+xTtGoQifNp4a2cE 1QdXDSb/8mkRga1wIDSMGgxj3X1RW9NFCJLM0bhDjcSS28KyDHsR7OxjM4aG n0D2yZ9HRFGzWCAKcjRfkQFVZyfNp20zWPPHQA/3bi5uKenVpyyegf+/2xD1 oxC051zll7rTUMqV6xAXf4F7frUjC2ymkN+1s67euAKyh99dbDwyiQp3xjL7 vpeQ7Tsm0350AqPqJjJpntUYjDpZcPPMOCgTKbLL1tRiyEE3zNV+DJtFx/Ot 0+swK7Y0N8rmJ+qCDf6tWl+PPC//b85Wo1ChCyeSBhpQ9LNjpdKmHxCOfe54 r9MItvlvqVJrv+NJb3Gt9L0mvCk7UGZPGYGkn4L416kmqHc/bePED0N6+dPB 7u53MJlY/mKGN4TwM3mn2aubkWk+UqifMIif21O63QJasFYxt4ru1A8fvZe5 itxWHCpuO6W9Q4jP6S/vvl35AZ4/hlPFpnsw5f4uet2Vj/iuwGtMeSXAEUXD Iib/I8YlUzvuLhNAc8e82dPF7TCRW6ymwu2GedxK1yylDsRbiIfSYrrgv/zY qk7Hz9jkt+ifVfE8aPXZLGjZz0PJIu1E51ufEFg5dNT1Iw/TOY8CYyw+YLHM kOTLSR6ecVco0OltmPsiOkMtphPGiTdrPk6/h4dBcdt8yy7s6j0gPWTWiJS9 J9ilP7vQyjmZVh3xBvr//33BPH3/Mm/j1xgVLpUVPPqC28PRrpNnqpFnbT4n clc3Mrt4160MyxFgEcLKFXTjoN7Vx1yJZ2h0cnPU+dYNtpzG7FVeAVb7WlJT hd0Ymi2RsCwqQG2s3EPOUDd05JPuaHsVQH6KEfpgkvBHE5UkW/KRmJbveV6a j/Oa2nV6aXnoHW9MCljPR8jDKckehVw0LOox0trMR9nX36R9zuZg1brX40+3 8qFq4BZP25sDX6TnqRkRf16ymIl6Dpae9dm4bDsfgRdV63152XCpFFOTovFB z4oONzmcjXF/qlTPUT6OW3RtO2yehZWfaK2cED7EIisKKm+kI6zCKMPmNh/s PfJaM6bpGHmqFTrvLsn33nzozlQaKi5KG3jQ+eCd8NPi+KbBRbLxvl404U3N +kc9U5Gob29enkn4jgsbB88lQ5ZKW+GdQ/jquqtdusm4PGs4ujqf6IfW5w1/ JIFWo8y5XUz6/3ixbPmVJAideLMHqsh8we4PG8ISsSHMNb/jI8nXrRRXK0/A o3N2EfQOPrbbByWJhSVAdGivi1knuY8Y1gd76wQ0qGguShCQ/M5pYcjXeFzI G/D0HCb8kWuyEwrxyOX5rpmWEIDnUuWlHMGBctXp6bT5ApR1FeVznDgISbFt Ova7AIH8iNAaHQ4O+20L4soJINby55zp5jiMLZhpD1MWgM1kFR7UjMPx4f4c YxUBtotTRlUocXjV3BE2sJLUDxp+TWiLRVRs2VYrDcI/Vi3qDYuF4ZbgSKqe AKrG0fcLf7LRfIK6mWEgwHGVqE6JZja876W3qG4h/GwERS6fjVR+69K1xkS7 vRV6XGLDQs6rJMWUzC+1b0ulAxt84zlOG3eQfg7Zjn0mbKyI1I7dvIech16/ sUCCjaIXFWZFFsQfuJ5b08qCrdC228SSnOfzyZKeeBboZjc0dh8kvNUXLnM3 C1peSjWvrAi/3s5v/xIWah6nuu+zIf4mmtVgHxOU4eY0awdyXnvJbWYxTDCV zx5ocSS830SpjD8TRhbiww7HSP4p6rX5h5ho9X70oMOZ+BeuhEKfCR+WpsEJ F+KPbKmtkGdC9nXZe/5pkp/iS40fZyDtp43/mTPE1xoxmehggLZKuKTfg9QX HP29qZoBwf7AovNexK9Ov2yew8CNywqOP86TeUrzss/GMqASnzzj7018rtFm hwcMlDSANeVL6kvnjqwNZcBu+t32gEuEn7fs5PdrDIxquHdRrhLeq73wvR8D D6xFN0P/JLyYDWXAm4ENAZFrpAIJ3x7+h6MPA6+T11VH3CDz+oaPm11iwK25 1E0uhPhuoudVAQzMpRyS+vsWyasNU5G5y0Cs9reUJWFEK6rF7PmHAVP76/tj wkm95IhkdBoDH4IXD6rcJ7owa8SkkgH/zEQ65y/SP7Nu4alOBuTbTfQ0Ikn+ cuozGoWJzHlNTcmPCK+ZeX/DWib26bv5bnj8635N1A5bM/HNaUYxO5roKJPy hcFMhIY9eLaJSeo75D2TiphYla/hUMgmmltHCR1jorSzZMqYQ+ZLaIiUMmLh yEIrRlk88b3cFyWHsDC+9avprkTS750rjd/CQqTLNV51MvHX8LLUqWzo0OVu WKaRfc6K8OfS2HhTnKBWn0H2Oe4aTz2IDfevRpVW2aQ+47KwpIQNicVvTzfn /tof1SbKLBtxpqclHQrIPgfXa9/dHQu4TyV9KiT7vve7+5zIWLT/Tbd0LiH+ yJ49Rr2xuFS+pr+7lOQHuats3BsH+f6ie27lv97X0nzF7DhkLTmo08cl9c7q zVfUOfjfLv7bc1XErw23PZzIQe+5K97fyXdJ1Umrnmb4BKHRMgr+r8l8O3Ps Jz4/gVr1k/zJNyTfOPAyhxmPspFtdtcbiBaue+5xPQGOK+onxJvIfQVZsHQj nkKaejGv+D3Rs8bq+ZJJKF+scMG3leS7HhVuME/BUkbrmOEHMn99+IIZiQz8 B5W4dxA= "]]}, Annotation[#, "Charting`Private`Tag$2800523#7"]& ], TagBox[ {RGBColor[1, 0.75, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdVAs0VdkbRxpS3o+6RJgYSlGUSD5FJek1KlcqBukhoZSmFwqVyhhUJvJM SgrFjcR3z8nEeKdESNK995zSyDOvuP89/7PWWWd96/d9+/fYex89r4Bf90lJ SEhkk/e/r9M+9hX/8w7bmHkzh8ViMUjbawZ+4FiAdWTXrjOTYjBPTUx+wnEA KZtdvSPjYthY1/L4Nmc7+FeuTPk6LAZXn5GyOI4PNL+u0qvtEcN704v21zjB cDFVv8S7RQxp6luiojkRkFuwzXr4oRjCZZ/8cpmTAJlLf07J4IqB65ae19d/ B2x/ZPKDE6Zgpjh893qdPNj5QLqR1zAJBtt62RdXCuH1hQvLoqUmIaTeChKH SqDEyjutQ+MHzC5U7pSURChWXnTNzXQCeN32tQ02NMwZbx1rNhoH+tBtLbev FdAaHewfMncMhg1XKT70r4QWnd/kCzmjIDX2QEnLoBoU6NPWhmPfYbnYk+fy qBYc6uKrTwiHoTbCov7lggaoeN721LdpCObF9ozd722E1hJJlcbMQegZ+dDZ bNYEdukc3adRA3DnS2m1Qsxr4KZ4R7Jb+kH2hLokM/EajrsE+wz92wcK2tnf BII3cN7ExdFUpw+uHizyTZv/Foqld9apTOuF73YPBAdCW+CeTsrXwuQeCF5a UajxohViErJ/H/L+DB8eVVx5pdcGAeO+7RlSDEwcepNkfKodnsQMmFoUCcBd w/pZirAdsqIaxjwkBLBwtcyUb2kHyE8GR6QmdsP6DL39BbM7gTE5nDB/VxeE aHvof9z9Ad4Wny4fTOoAk687ZrZs6gIJL2GiX0ErhP3dt2d/excs1bu/1nlr M6gq9slWjHeByZMtiZmxb0Aak/J+Tv4Ih2s0vTubG8HPovTdjI3d4PiyRDOj 6x94sMErrfx7N3j29mcZXqXB/P/PJ5jG7dX5os6H4R5NJdGNT+C5WphqIF8M RS7rpyU4CID/Z8ZlJW4WhDpGphaKBCChnxoQNC0QP4823Q9dIATerS2hS8XX Ue+9U2tmpBAkym/c/DE7G6PplXk7LgnBLjDMlBOQjQPZJlEyV4TgKV44W/5l NtJHFSz8YoWgG33J/NSxe+gj2/TH0iQhpKWEae2rvY/3zN3WU/mkvhZvyT2R i4uj9/M624XQWGnVUPwmH60tIxI4S0VgF5mey+UX4VsvzvLbFiIIS+bOivpU hMdiHrXoWoogLYGKS/qJh7nCVk0jGxHwM7LizjnzUCdhUfrydSJQ0smldVt4 KNX/9qHLLhHESukVP2WeYk2OceW18wR/7B3/y3AJHnhbfkA5kqzf6eytqv4M paW2y12/KIK+nZzT3RbP0Nbt3KbkqyLwvDNEGwc/w3yZ169zbhA8W8PFtf8Z Jvic6arMIbVC6nxJUSnu1mkYk3wtgq0ek9wJXhkqcI4WlTYTPrl/7Wyay5BS VQ863kr6lc1jfx0sw6CDrrPXtImAswclp8uUo+EMd5Z9L4LGkPKOycXl+G1Q 9LaBJf5kQpQd7pTj+X+mntyeEkG+4UimaRSiRUV6gKskA31WWnOvpyMy5Q4L laUZMNu2crjqOaJzYXRGxAwGtgbmFv81gKieqvGnnxoDjVX9y9lFfLwXvPiI 1QIGqm5tG5WJ4+OugFfGgyYM2OmuTpuZwkf5Q8HCXFMG5jyOTO+/z8ejHs92 6y4jfEOB1t4UH1c6rdsoY8dAoP5NpaZePvY6fP6JWkPmvVU73o/xMQ2u0qfW knnf5tYqaQqllzVZ9TqRfrf96daaFNbP22vUvIOBLo/8/WH2FIZpSgpiuAxw Sx5UndxEobn6nVRHdwYcZyqFO7tSmCj3ReO5JwMnmXXVFw5R6DV8fHqmH/Hn czJF7w8K1frmULuPMGBUvOaJ4CaFlV9Kz2gEMcDPN3A9l0ahSZfk0OUTBB8N /GNpAYXD1de6A8MZkNVW945upLBjZvOBHxdIHrd9maAWCmnnud8uRjGwwkxz llknhbH1ORMpVxi4ZJnqvqiHwhOKA+ELYkjef+2T8+uncM9WK1leLOF73ud5 ZoTCBU2VanXXGWDpo5Ua02hUUlVM4iYSfxqqv6TI0jjislNPcIvw2+jWDcvT WNEsWDSRykCrsMVSZQ6NORomhVEZDPlfzZdvnkvjn67HrFWyGCj+uHaDjx6N e99JrjfO+c+PacEnYxodNDfUFeYyoHvuVdqrRTQudI91scsj/Z86z15cQqNK csu7mgKif+O4vPQyGkc7dDxdCwmev1Vu3QoaO7V9Rd08BhK1hDrOK2n8e+/D w0dKiN6D9Z/VbGnMTR0aGCslfg76jqfY0RjXtfL3yHIGRgcONLJraDypd0Gs RJE8PCXb+xxo9PCqjkx+QearK0KK1tG4LlN5ltFLBjxn3ey3cKTRRMCNe1JF +I+dDPXfQPQZpM2BGoIXWdnvcaJxbB+TUl1H9vuEqqPURhq77i422NlI8vLQ Cd9F6pfM8QcfmwjudK/Sm9S5RmVL/JvJ+S7yeqdF6viD0sWjLUTvdN+dYWS9 UzkbbSPaGEjLlsYYwufZE1eh+J7sr+uBIAeiZ51Jm1PSB3J+5QfvphC9i/z1 Xhl2E/1au4NuET9qjw64PhYwECYIe2pB/I735r1fxZD7sPnDkkNA9JmOeP/z mfCde+RraUNjZaDtl+1fCR5/KSuR5PuoIDKwq5cBicHrUtEWNCYM1H736yd8 ckbbZMxoPG2udnZkkOhze6Q9ayGNXsHu0y58J/tJfb0bb0CjY1HGZYUxkm/E jreJ82g0/f5Z8dYE0dfmbanBoVHDcskNgylyflXq/p2uQuOPkJNzCyRYcl92 5PwmR+OnYsywmcbC6BLFFH0pGqvHfjKums4C1zrfb/UYhfnWm/NcZAl+tVCD 943Cm6evL/sgx0J+Qf23ECGFPpM/r/muyEIjt9TneT2FTrZ+VeEqLGxtmmlv TFO4JPTxZnl1FgL5krFPCymcwx97kzibBd1jz/zd7lI4JbHafb4m6Z8MDhbf oFCw+tLHvLkEL9tzNDGKwprzDftXzmOh1XWFtvJxct+l9wb/Op+FKuMjZ9Zv JvPes5e9MmSh2CP2PlgRPS8ah7cYs3Cvfc725/oUVutH8+oXsmC3JFbxlhyF ZuftQzYtJvjvdify+vh44+MPy1ozFjyPqmXVvOHjDzveqJM5C4kyvMWFPD5W iY1OOa5gge3hF5cf5eNij27rSmvCp5qsNNeZjwnlSRNrV7EgEfr44UM9Po5r 73heASzw9YL8jwkRPc8qnLVfQ/ytLVh74Qziy47KVbQD4TN1Ts+fjmhiEz5l t56FPlORVtqZcoxLskbcQPL0Cl42o60MR8YHQ22dif4W+RndimW4e9dDu7LN LJgJBrRrxkuRLvGVtNnGQtqmw/EBeSV4eSqg353Ufd35Uz0rSvB/Y8N/Pw== "]]}, Annotation[#, "Charting`Private`Tag$2800523#8"]& ], TagBox[ {RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwdVQk0Vl0Xlk8hY0kiMoQPSYUyNGxFUSpTJaFUEipDUZQ5RCKJkpDUX0SS KfPxmfnwvu+95qhI3nsNGTJG/Of/71p33fWss88+z/PsffaVveBqfomTg4Mj G7//+x65RLEq6JP7oqT5ppeXl4FLX8Ltq7gm/KluPujzZxk0XsQn5oobwK0c 4YTZ38tg3NyRkyR+AuSWNhwbnl4GS/vZshhxe9A6bNxbO7wMvdvu6UeKe8Bc bv7b4x3LkCJqEnpfPBhKr0YvprxfhkCe3L/DxWOhtLVN3txyGU5bvfwwPvEa Gj8y8+qjloBvOdDGcNMH2G+uNmpW9QcUzH5SVRF5AOc1krRHF+FWiw7ETxWB lXKYwu3pBRDLW/NlxQoEZk9StxVxLEBBv34TY08lPDjGmFo1NA+VzkkbrUaq YciY2XiwaQ6mFfcKvb9WBy9ns8cMC2eBcz5DeKNCI0zJVF4zDp6BXct2BRZZ TZC5uitc5Ow0NAVrttSqMCB/4y3rCu0pkI4enk//yYT4Rfu9ITOTMDz79Uvb dgKWVJNlfeom4PVQSaNgFAleNzq8v/mOA89N0RXsBRK0EkMCD60fB0Gpt2MD A62wzihYV8DzJzxwyndIkW8HL6PeogTJEZjRyxhw9O+AU5IF4aFPaPBQr85b X9UJQw/IRd0DbPiaVR3Bku2G/Of8tdY1A7Dg3Ppc+fZn2MGsGNt6rh+s1+sW J//4DOXb4s8av+qDLfu5lxxKemBn2ou9gVu/gWGq7OWPYl/gTRZXoUPeZ7gl dU6uz+YrrM4v88/x6gDVkZN8Hce+QXVECZ+9CwkBNeO2lz9/A5VHbl0hgwwQ ERrnqf79DSpuGUdnWbcAF3r+YXNiHxidDCrMyKqFK5olXbzG/bD9tHNwuUUZ ZBy+kFI+0w8B1GhH541M0Pj/8x0Yj3IflBumwvSwhPDgk+/Aobqv+IeII+Rb GP4VazAAdld+eUUdeYf8jUJe5A0OgPCU3Jlp+yJEzxHp/io/QOCit1SUejmS 7T3S+SrkB7gl7X/KtKhEulrBseLqg8Aj2O++YbYO2WxizK8gB8HUakuiW34T EhS/nl/SNgjMf4qsKuub0D8iou6enYOwwTA3maenCbk7WYod6B6ESs/fnQVU E1Lktaao3kGor+p7eJ2zGY39GmxnUIMgzEpGxcebUVDDUm7S0iBUSHF4rPnR jNI81Fx0VNgQoJ586jYPA51xZSn/UmXD9tCgXn0JBhJw9viRuY0NMvMCmhyq DHT9XLGNzE68LjAjaGbCQLuPHDLm1mMD1T+WbhbHQC3SZ5XaTrLBZl409ZwQ E003Rva7BbJhJNe94uJjJurha3NcvMsG7TWlV3sSmKjyqOTYvVB8/nDV4eOp TBTd8m4hOYINXP/cdZX6yEQqRN265jg2HBUJO+nYwkRnu1YYKr9jw5Tlp6C3 3CxUy/bM6CPYUG+7b+iOBwtlKpXtuNbGBr1Z/ciVd1josRNX4VwHG2KdKujQ QBayG46pFurF+4/zx7lFsdDvnx9697Ix/6H2tV/estC2GVooYQHzL/T7JtLF QvFcZz3M5SlI03u11VWTQEsXxXayFCkwcHL0zdMhkH0Vc9pEmYKRiJpXY/sI tD1I/9YxNQrsq5kShocJVL+sdNtImwKecjsVL1sCzf7+5b/vKAVeky0azXcJ ZHPmvV7ZcQo4ggPj7cMIBLRcxHkzCjyso2M0IgkU5dUVpHOKgh6eu83f4wik OFMeomlHQammZbb2WwKdmgiPUPGgIHvOwcOnjkClpvpH02/ieL8Pr4z+JZBc 9iK/kjeOv3J9dBWDQD9dXKMU/Ch4sJF7q1U7gUJGTjySCaNgj7xEjskAgYaM Bc1f3KfA7VqKcBqbQKYZdWs3RVIwLu6tMjFEIEln3diNMRQoUYrNJyYIlMeW fro+Eevzuaxt84dAEoZdlnHJFMytrOnX5CBRwJuYDeteUtCazPVqkZNERy+t TFjzBue/ped9modEOdXlZ6LTKIh3jhAdWU2iDfJeG4UyKGjardt6TYBEA/1D ifzZFGg2lOfqriXRkQOvbSNyKNA7WnksZB2Jsl/ablqdj/3nsF8sXU8iHzvm C+5iClSdPTwnJUjUj8LtQktx/QK608ckSWQkrS+7ElHwetd/ajs3kUjkS34q ZzUFPtRDz2tyJIri9/X9VIv19e2L2i1PotW7DU5fbaDArkDZdVyBRKFOfBqy TRRwWda/jvibRJzxhEB7C/aX599P/Mok8qt9Rt1nURB2cFT1hgqJfk/ZVUEr BXldNcHlW0h0c7NS8lQ7BbH8sbt/qpJo0mzMK70L91MCb8MKNRK5BBRYnO2h gB/WpMxhPJTlqybyFet9+EiN2EYih14D3vo+ClIYW3ojt5Ooj49/wGcA87sz I7hlB4lsdMnyHWwKCiU1ZNMx7nRMeDZIYz4iy87c6iQ68fS8x/MRCox6lvYc xJhZo2RiOkZBtO1ffecxPjo1prxyEvtXkPbMBuN6uU9cxVNY3+zoS02MDcz8 vrrM4vzKNao0zo/8DxZv/k2B/NcEe2+MdbP44zoXcb1jW50HML+CHtI1chn7 PWtgqYyxOt/zIwc4aRgXi9MyxHqydC4ozHLRQF1/KbgX61VxVObI5KbhanwD ybuVRG+ejHfbrcbxgjuuZ2L/5Go+5YsK0KA0PFa3Gfub9MsvulGIhthzO/7j ooT7R+7QFf+1NGww3fdvhCKJYk0FDmmK0pCZ4z7sjesp7N8qQ4vRULpn3Rst XO8H758vJEng84Mkw6ukScTTc6HdXIoGnuNMQUkpEgWvVvnILUNDhat+IuB+ 4tCZiCiVw/k6P/iripHozuVCB3cFGgqFUn9+EyHRTJz/fkUlGjSvTv1lLUyi 69WHJD+r4PyPY8ri+UnkLNvGMthOg9unMM9TXCQaNEnMnFen4bTSgTrWMoEu +F28l7WThsRef1vuBQJZfZ7Ys2E3jedl0NYn4wRq5S0Sa96L96sPmdP4Pppq B0wG6tGw6P00fAjfX6M4wbThg9iflDJLqoNA1VVtQSlGNMwVxtb2MAmkN5lo e9IY+ykd+N2lgUBaJltEkCn+bxdnlVgWESjHd3L0hgUN9lPGa19lE0gts6he 6RQNzBha1RPPG0VeI78Ya6w3zFI1+jGBUrWErAzP0qB6ddXxejy/Njm0ayza 0eADnlcu+RIoITZJ8ONFGqK3dvnbuBNofZU9fcmBBuGrH2Re2hMoZmJLtYQT 5p+cqatgSSBBmV/JjCuY35OYsk4jAq30DTyh447jezaqBirjeTMxMo9u4PqE ijXcFMfz1+H0i0M3adjzzmOPAw+B1n2uMmj2osFRJVZHY4aFqk22DVncoSGs cdePkn4W8qhOeNjti/kv8at2NLOQvM6qnecDcL50GQfzTyzU+t69mx1Eg42h Vt9oMgsFy/X6u4Rgfy41vLAMZiHNp0YK0/dw/f0jOTdfZqEBvrzGO/dpSMt1 ZBQfYqHYAGk3zki8zm4SNZJjIYPp+6LhD/E6b0VWwBwTTTnNFAvF0HCCI0NI u46JXn85b/ckFvfvNV8ttftMdMKieaXUUxpMu1cMnd7FRPXPFU/dfUZD/cWS 9G4BBvovL9zaEg== "]]}, Annotation[#, "Charting`Private`Tag$2800523#9"]& ], TagBox[ {RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlQs0VVsbholKpEQ4kuPewZH8blHyiS2KXJMUQkiFVI527oVU5JSEipL8 SeVSEV00pZ1CuWfbe61wZLPXSkiukf3P868x1ljjGXOO+X3f+75jLlX/o66B i4SEhF7g99/vjkB+Wy3lbpGqLDEpEAhA1HpNeK+CERjNfdaJ+SUAw1s5uU8U GKAU6qY3/VMA9h/Zj/MUdsGIm9ZNalIAHgHTNRkKAeA6dkO19qsAPm9Isb6o EAEZifXPDNkCyJd1OntBIQm0xPnOxiUCOC325I/zCpkQTV00LnQXwB7P22Vj 3wvh8d7JW6kpCyAhOO1l+3sZKKlfO3PuyS/QdBnhv0mtgJkQNWH19nk42WwG ORPPIPGX40OTpjmQr1jVIyyMQDlPVXrk7U942m/9ocW8DpYUlZ43vTELdYfz FD2HWRB+fImcUfAMTK7bsrIk9B2Y9RrXBcA0LJp9IKWo2QhWAZS4xcQkmAh8 n7qVfoA9TeVNVtUT8CHJqLlepwX6Z1ieHbE/QPnS19nikVbwyZKD7Zrj8HW6 t+eTfjuk19juZfSPQSH9onFFegfcC2Dl7hQbBbFIWeGhuQ4I25eVvGr9CKxQ KhodGOiEs1H6h5d7DUPaocqgfI0ueOXQamX+hYIpywcDwfFs6JScsF+zZQgi DFgVcm+6oVC0/1TLxwHoLWWltqlywfhq8wDHpB/mDnfe0I4iwMSe8XBPRC/s k9v0/CaPgLOh5ZaOY5/hz61LF4JekCBuOX7OeZgLtgWqBx/J98Dg1Eyaq3oX nFTar/aPVy9INza0anxoA91hdwn2zj5g/hjWS3dvgoS3Y94HiT44UeRxPM6c BTIrx8RYP/tg7FD73u/FdSCKbpSp5/4DzuozsZufVsIRoxecZfb9UFvU5uRf cRUebPfPfzXVD31Dcpu8Gu4gw/8/XyD6iiHbQrEUTX5dIzWY9QUSFkdNL7lU hSrdbEUyGQOgtfiqowu7DsXbJd+qGBwAvqvXqmuyDYiaaS+O1+EBz2BqEtKa kOrnHd13knmQsOvhWwWyGW3amJSpYDAIaRxe4ujeduT1e8uscAdmGYfUwp5O dOyQh7wVdxDCP8cYt8x0osnGi/3hp4dASDm6XmcXG5ESn4LnE4eAOf/6PMuL jeoc1o6mnB2C+WbHp56BbHSp+f7czdQh0I34YR4ZyUY67e9Wf7w6BF5Xe6+f zGEjH46wrfb9Idjz9I9dOQQb1Q/99eCfdrwuNkYZ+3SjHFGfCFcNPjhrcRkD bhy0cEDeuG0dH1aPWq6R3sdBAW9aJ520+RByxTlwkz8H6Z+xPrlTjw+ZknxG VDgHvRdoRdmZ8kGjfuOZp2kcNP3zR7yFAx90F2KTFVkcZEGppfq58CGn1EGt oY2Ddn8/n6oTwQf9F6mNwXpc9NLZ2qE4EvPGr6xuIy5SK59frnWKDw/v23pa beaikbCj6ZpxfBDLPrlhkR0XJQ/vuqxyjg+MOqNiQz8uqhhSzpbL5cOlqjDY ncFFMj2VBYtYfBj+76dxj1EuSl8eG1tVzwdzls6U3yQXiW9m7AlpwP1/eyBy YI6LFuW0S3Y184FZJSS8YymBxl1GmcUcPvxmQncU/06g1rdaTs6jfPDN+ZFd YE8gh4lR7cXjfJhX0X8p60Kg92pVos8n+BCh8qQ3bjeBULzNc/WffNC6vJJj 4EegUjN/zWlRCip2FEUoRxIoreTGXN4aCux44dtn8wgkRvp3uSpR8IEpR9UV EChJXOfRUhUKRL25xqeLCBR9sDromCYF9/K//kWUE+iw6qc2hj4FWiVFHSJv CGR3dcW9rzYUrG5hlS3nEYj15tOZfDsKAn5kfllNEchyPNfb3Z6CeUknSalv BNro9KcMcqYgQoao65kg0LpldnEZ+ygQKhWX54qQaHHs6V1mxyjIT9hupa1M oorvw7PoBAUz5A1dRTUSBQTtubUtkoLccfsagQaJWE4baLdoPF8Ok5GvQ6Ik tc/xYcm432lv3iZjEhll22lOplDAVI5b9GojiQYkKhqjL+D16EM5BptIxJi8 IHv+b8y5X86NWpDo+rV/Hwo8xdYteWCL65sXOuvkUuBbzP9esx3Xf7Ryqvwm Bbo6pSbV9rj+9UHLV3coiMlfZh7jRKKIla6DjLsUOD/NyLZxIZFGUk1q0z0K Hj4LtFhwJVFiaGZXdwnez+Nmme8mkUG/IHp/OQWWHm2c1x4k6t99RHXwMQW1 o4UXjD1JZGVpFfKjioLlyz9uH9pHovGKklVRz/H+hIQeDW8SFWgrVAnVUMAq qvzm5EOiRTJjwivqsJ4lSSdDfUn0OGVfUSaLgrGy70f2+5HIf77eQfEdPu9o cPMWfxJJHzMYv92Az0sM9xA7QKI6Xl621gcKpCYf17zCfHzvsi1lzdivSH6l bwCJ1Foi+o3bsB619ePfMLdb96W87KCAsfSbRlAgic5U26+37qLAlNny8z1m g/VV7Q3dOA9lt1XkgvB8t9WYzgQF3fKWljsxZ8ilK7E/U2Ck/ptwGGar1Nk6 7z4KQratFGNiHhcEBA/04/6KgqcPYy6IaJU8wqPAIbA4bBtmV2rzk+9DFJwL ihYXxyzsU7SHSWO909MDKnH98nbphYVhrI8NU8YOs69t3J3kUQom9C/ff437 l3pJ2S0fp2Dtr9Znqphr9d1HMiYoSFO49/Egnj/8v7VXFKYpGDBnh13Beqms 0TXLn8X6pjHUCrGerenZPevmcf43Ngdfw3oniIgklSzg+bzWoOP7SaTPDNM2 EqbBSyggbwP2p2+Y0/xchAbnbsbJFi8SXfKzidi6hIYPz6NfuGB/LbvKFd6L 0RDiV9ZRif0f27EWOUrQUG2+XmMO5yMfpQR8kqTBYUmhhCrOj1CxT1m/NA2r L3rNS+B81Q+zw27J0lAblLXxJs5jmr6LntdvNAwEm1qI7SSRfLV1ySclGuz6 Gl/vx/km516GZKjQMEz5r7dnYH3BRNdJnYY9VW6W4ltJpPdO68F7LRpYjFuP FsxINCFecDj5TxpiDuVk/8eERM8dFXWs9Gjoi7U2MDQgkU2XZPELQzyfnA0v V5tE4mtSgpkmNKgs3BEIa2K9vIW0jM3wPDkKrRtUSOTFG79bakGD1Pnysh5Z nC/tkKAjW2lg1P9c6SVFIn4IT1OLQUNFTAPrujiJTkywC29vpyEn3v2q2wKB TE1dAnwcaPD9pSfdME2ghehGdUUnGgo1+Lemxgh0QaSmIHMXDZnDZr/C+gnk bGvi7+JBQ/4Jv54nXALJpZaprthLw4y5M13YTqAC6YL8lP00vJdpN4x9TaBn qik3ow7TwL/coJ9xnUBxgUI+G0NpWNut6fn2bwIxik8pTRylIUCRDItPwve1 fkhu6F9Y7xirP0JDCJQVwdunw6RB11SReXk/gbyqfRSHorBf4N2r5EogPrhc 903A9V66H9pmjO/rxEZPpUQaLj1q2NqkSaCId9YK3GQaWiWq9M7LEkjgaJLj lor9mZnTOTrORayMMg+pdMybs++F93LRhS4t+Y+XsL9+xku8m7hIzkcxa1sW 7v+wotvpW1xE3s50F7mGz4tkpYSncFEBT1K29gYNzENv6itDuShYO6Uz5iYN ohHP78m6ctH6UKFMs9s0TIiWB9jg/+N4+Sm3qTs0aA3uvTIgw0XVE+PST+7S 0OmSYHVijIPiTEPajxbTYFnWydjawEGMGN5l3Yc0CDmWyzjncZB4rY8LVUqD 6cVQGfkjHNQq0i119xH2r/+dxfwGDsqydWn1r6Bh+YGDscRgN9qX2vi3chWu N/Ll2tIz3Wid7O/mWc9oSFqtkt1ZzUb/A7l5Og0= "]]}, Annotation[#, "Charting`Private`Tag$2800523#10"]& ], TagBox[ {RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlgk8VdsXx03v0UCSjKmUCi9D5UnqWZmlDNdcISEhGUollIjo8bxIkhJd ypihRCq2ZChJkimKe06Ge8+RKWS+//3++/M5n/P5fs7Za6+19m+tveVd/axO 8PHw8DTh57+36Qn2p2qOrc71DSumuFwuCOjL+PdJa4BN1U3B0EUu7EpPufdU 2gDEJrc/mJ7jwsEPnU/SpG3g1ukkr6EpLti7/6pMlHaHC4SnRTnNhW9q0fr/ SAcC6O07I9rJhYy1Ftf+lo4E99Fmw5wCLoQLPd12XToJbHPO7g6w5oLD4QdF Y+NZIMq2GBC/vAQruOGOxuuLQEupqWr8/iJsYYyw38SWwsF2huhI4QJcaN4D KZMVYPQroycqaR4kS1f38vIiOBZmuKgdPAdlpH7Tx301oGUay3LVnIUa7zTZ w8O1wGSaTS7j/IKprX+teny6AWqvdPp2PpoGvtl8UdktjSBjr7ljGKZAk+tS Zl3YBFk9knEO1E9oitRorlf+CJcsEzITb0/Ahhv0bO5IC8TPrrtIbhkH+ldf b7t6KwhW7susuzMKWdTLRpH4z1AWK7Ijs2QYhM6v5R2a/wybb7HMqHc0iMhl j/b3t8HzUfNAz14OxHk988hQ6IDWZsNsScMhmN6f3+8Z1gn1Oj4PJ8L6IXBn banEmy6w8/wkx/xFQF9hbewn+W5wDeWtc7zZC/PebXeVgntgei9HuDLwCxyV 0H5xf6AH3C6ELNMd6oQ/dAWXPF5+Bb5l/XcvtrSBMVP+ZIlkL2j8HvL2de9H uCB3bBPh2Ac2Pl90nUQaYPuw7YpOMxZsHNPqyPeohCt1Y04ne1gQU1e/9Yxa IaxZNSZUO8eCKwr524O6skEA3S3afI+AK1EtAUYK8eiUxssvyw6ScOM3JiNc ohTlH3DNqJomYUbfW0Wi9DXa9f/xHdaobRxlGteiKVpGdDD5O+S8+F7IiH6L nlkb8ycZ9IPn8aC6HTc/ojCTqPTSwX7o33hc5NVQK+LMtOaGKQ+Ag+G8ocPm NiT/zbQrM2oAXGY282e/b0fauyOTpHcOwuRi2Y2iV13Icf3HWd7PgyCe9s+5 6AM9KMDLXlKvexBMd/7JveTeg6Ya/yH9w4dAPCUzUrP1G0oRcA60UmBD6F6h IzPjfWjJTfLPT1vZ4LJQItg424fc37RMWSixoemdff17HhZSj9C/YKbKhpk1 n4RuCrHQW65isIkWGxb8khyFpFjo19zPMJ1DbMh4U70Yp8lCOpxNsccZbDDk 1cvdocNCduPXY5UD2eDJ2HvtZwALrel9xuSrZYN5RuWuDoKF4ldeulRez4Y8 yjXu3AALLd9r4ODzjg1aE1U/VnNYiC+lVbijGdtXEUC6Yyw0wRgNyv3ChkMr 5A5cWmKhljpFC8tRNrjOpJgflyFQ3OO782kyHMgTNZettyCQ0FfXDis5DhTM ljvzWBMocrlyieBGDkRMb4PddgQKOfncI2ALB7YWGDakOhLIW779k4E6B2rL ba5qeRHI5JZIDm3IAd8yicXGcAL9dincZk8AB6ReSgltLyZQ6fjwLDrLAcpU S6PmCYHcPRzSjc5zwEO2g7J5RqBaCzXKOoQD/aMGA34v8PqbvoX5RnHAZ2pd XEgtgVLv/Dc4EFSeW9LTie3ty7JUvscB54ue47rd2F7Jquni+xyw6qdR6lds L3Vwf1UmB1R37pnZTxDo6umkjq7HHHgkirSOUQTiWzPGK1LDAfcPye3f5gn0 JPpodlIt9teEcJtfJJDrQv0h2QYO2Gk4fRDnIVHNQNptxSYOSETrSO4VIFHE 84Mq+h0c2DewscFmJYl4nbMdgigOiPkKm5fJkqi4VWxpaRj7b+AM8XIkcjG+ nBk1yoG/s7ySj28gUbW67UjiJAcSSyps5jaR6Ao/f+TjJQ60ts4p/FQiEU+u cxEpRoFrfLDunCaJ6oc7fdPXUiD+M1TtoRaJ4tQZqo5SFLQpvhcy1SaR5HP9 x+1yFLy4bWkS/heJVBsU898qUmB0JC0kS59Ek8uZ3lF/UHA/QdRIzpBEL8xl lfVUKSg82Bf7rxGJDDuEc1/uoiDYaeSQywESOQ5MPCrUoSBRSf9HsTmJNin5 eJzSxevJvPn604JEbJ+BLYoGFJhelmtQY5Do7GRn1oMDFKyrOW+UaE2iv/kr mUk2FFzxqP3JtSeRpbGmK8OegrgXetVCh0kkEVskL3KEAu/G/ollR0jEFGNm RB+j4Kv//j1TR0lUIR99P9ibgucLa+d8jpHo8gke592nKfCQE8vTdCGRQe5F uUk/CizVronNYG5R97l3+hwFoXUWj4+7kig5cOCochAF2qfvFy5zw/E8d5Yd CqbAM9bi91zMbGCkulyhwKRlwPKDO4kKrzYelruKOcddxOoEiQIb9KW7oygQ O+Rf/gGz9orKruQYCqz029T2e5CIa66ZYh1LgaNixZFczLWJRfai8Xh+YLrM spM4/g5FyQ83cL7WHGEcw2wpw+y4fpOC6ddCrHzMEs6yyUbJFARuEcsewfz1 QZIt/x0Klh7LXdvmifMxILy2+i4Ff6sIO9ph9lSKbgu9j/9Xnv49BLPKaZ6k PQ8oUB2Ucb+FeaL4ovV0JgVd4t8tHmJ+Pjkh9vQRBQq6bQ/zMF/W8mn1y6Wg ufP6/v++G4QOJGwvoEC5o2A2CfPyamcGp5CC7rV07kXMLfxdoo9KKIhRH1G0 xpxszGhxLaUgaYphJo/5aGzjvxvKKZjxTh3+jv2PZBfvya+goHLcfTYd86BY pcidV1gPqruGDTEX2Gk22yIK7pU+He/H+TqTWvSPWA0FZRXHX13AXL6QGl1T S8Fc/jc/HswLztfCzzRQ8NYjdD4U51/vdUDIpkacT8NM1R94v6I3O51rbcL5 P2DfaYm5KcrEL+IjBUG0ak023l8x9i6vna14P3brvxjHerhXsNwpsZMCmzdP p52Ok4gQmbbT68bxOP/1LgzrZ2sAYTnxFddPhHbdTay34j+fG1iRFDinm+gl OJFo6namDt8Ank926QU7Yj3MxWs9GcL6YBaessF6ras6sV3sBwV53Ba5Hgec T3nG1ppRCkQt5ddG/6f/q/s2npnA9Wx2TXSzHYm6jdeIt/6iQI8/8bMSrpcN eUvCEXMU8JRoTd7E9eS+khLcuUgBy7igcRjX20hL9XwCHw0OFgJKXodIfH4W TOn+RkOZhttYrCmJgm7dHh0XpGF4z7bhuyYk4j/i+50hTEMyrd4RbkAiqe+y 71dL0eCabNvusJdEToaCda9laBClhV904X7CzJ6oCpCjQdk6QkAP95vtPu+e fNpEw5x7aUizOokCmksLwrfge0usnv+YConK1DMe7VCkYeU9i8OzyiTSnTqf mqBCg/sKBcNKBRJds3dN0lWnIeOHT8t5ebw/FWbx4ztpaE7jdRFfTyK7ywoR DC0aUkZ01GckSOQt2Oq1Wp8GmfRH50wESVTkVen22pCGfe9t9IX4cf96n+MU YILj3aa0LGuJQGE3whifzGjQcPTT957C/X7C+2C4JeaOswMJYwRabmtnuMOa huD8jx3/0gRKklbZk+BAw/597ziC+Dz4EiK1S/coDWeG4o5d7iHQ+l5+lXEn GqzO3K5/006gHGb3RoYbDQuxfoFP3hGo8o8YodW+NEj5PmhoLySQZpvkh0R/ Gqgqo/r5bAIVh2YniJ/F8Win5ZEZBGJ+qJeRCqLh2lGvrv4EAq07b9d3J5iG 0I69EjPXCXRr/WCm7CXsT5av4Ct8Xsb4/aayIYKGrZHC5fv9CcQrdWs8I5KG +0pszSkPAgVXK5RtiqbBkVJ7qutEoNOrDWBrHA2NjgHOV0wINFjxmT8nnobe LK6O818EcnF1e6uUQMMMujmSt4NAVk8jGCrJWA9KOQLWUgR6f1RMoiiFhpF6 akXMcgIZCDC71e/SUHX5iMO3eRaqKtiR/iQNr1+09uquYRbabfvaTSODBr5F xqxrDwsVL1oqljFpUF0Vl631joWUH7GGdz+kQcwsJtf/GQtlmvuXVGTT8Lvo KtvH6Sy07hf33N48Giaq5rge0SyUnP6vdmUB9u8kK+f9KRZaZbKBq1NEg+nS BqVzB1koZqzwTXUJDUIXF6zvbMb3mzs6MXqlNLQY89cc+NKHdrNpIfcyPH9V 6oN+kT70P+eE10Y= "]]}, Annotation[#, "Charting`Private`Tag$2800523#11"]& ], TagBox[ {RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlnk4Vd0Xx5HmUqYMpQwZKiRNL8ky3CIqcwg3FQ0yFFEpKYlKA3WVMg+F yJxGtoyREEVJhXvPce85J+SlMtT97fe3n+c85/n8sdfae63vWmur7Auw9xYT ERH5iL///lbe/HdVAifj6GVzx4RCIYibKx79prAOXtb97Tr9RwhrUxOSShVY MOzf0z82IQTrt10lyQqOwG3cfZQ3JgRnr18VNxW84MPdAp88WghfVkebX1M4 DkM/9/b1dgohTdYm6opCJET86leh8oRwflap5mUFDlzOvpwYaisEF9f0wuEf WVA5vc/Q7dhfmCs8726xtBAsrmXfdL3wB9TtBvk1MWWw7xW7fiR8Ck60GEDC 6DN4aOKZ+9t6EuTKJL+KiiKw+edSV8iiCSjvN29uNaqG9xIlN2JLfkO1T/Ji V6YWdhbuMTZl/YIxjc0LHvk1wOfyEHF+/xiIjectXKzeBEWp5TH5u0dhg9Cz 3KGgGbY25v2rPjACzZHrWupXtgJlHUdmnPwBy2Lp8dzBNjj97JbApHMI6F/f vn7Qa4cX3o57N4wxkEW9aJK43gHKtuUxrd8EMCtEVnRgsgOO6ZhsrqH5IKGU PcTjvYflZMPhJSQJVw8/PpC2vBO+rjXfZqjLg58mebxD4V3wVOLyxqs7+uC4 fm3ZopqPMLrPYVxm7xf4VlAb806lG85eLpA9098Fkz7vE1eEfoZ7YTNkdfPa wW2R4fMU4jP8tpHWvSD/DlaZzvx74EUPbC+ZO9w1+AYsMlQOFst9hSUpG7fc UqiGE0p7VPvcv4GLmENCdFQJaDNOc7t29IJIXsiId3gYnKsb9jj4uRd6OqYt dqzJQdILhmfVTvSCsqtN4ueFhUgcJRaqJfVBmhc1f7U0QkfWvfg027of2tKF rqsTGlDetn1plT/7IYefvoyr2orW/n9x4fHFxbqnPrShMVpxIXmbC6yLkzJd dDt67GAxjcPiwUSjclCjZycKt7yYWkbywMWiUYwd8AkJfrfnhq8koJGTzfqe 1Y1Uvlh9zLxIQLU0m6OwpQcZbozkKOiTcCjIo3RU6xtyX9o6LtpBwoA+8Xh/ Zy86dthZzqybBM5l2YcN3F401nSt/+j5AXCQ2GN/Rb4fJYizj9sv50NM9aal Giu5CASqMXvt+JAU9/FDtx8XSX99nCFWywcTtXuiCoo8dH1eWNiTej6Uvb45 QCrx0JxNLBffRj58tL4bVKLCQ2IJ7fM7W/iw+XTkCbMVPDRiN3Qy9xMfTlvK i239h4fa6rRsbIf4oNY8reSTEw9dfZQ4mawoANsWN2vNGzw0Pey8o8ExAVRr PnL8Ps5DZT+YcRQkgNDVg+a9UzzkdcAldWuIAHzM4x+3CXmo1mY15XAa684w Qu7hdAJFqn4J978ogM7OtgRjSQLdu/vfEoBDd9L2Pk0CiUkPi0pUC6DcgP/G 2oFAJdFu2ZxaAUjIdV2gnAi0b6p+++IGAaiWDgREuRComki+o9UsALEg9U+P PQgU8dRax7xTAJnJWakjBwkkys52OUkJoLm4fF/faQKJ5LIL+6Uo2B+kfSQs nUD1TJd/qiwFVl0rsphMAl3Vs9N1l6fAduq4gssDAsk9NX/0QYkCn5sn7qvl EUi3QSvvtRYFm7e+fHK1jEDuxMiDAmMKpvRnG2bUE0h1he+BI6YUaOWGvWt/ TSC+L6GuxaKgVzvLVthEoKDRrqz0bRRs+V48aN1KoCvTKjI4jhRU3k8QK+0i 0DOV6JRQHwpuGJyUKh0g0FlvEfZGPwrS2hvMUgUEYuWeUhoNoGBrQe9oFE2g Nj3fJL9gCsTrllVbDmF/YHfP8xwFM/0T18f/JNAi9uLbW29TcChOv9NKnEQ9 6RynaXcpGPMqTaWnkyiDmC9blUiB+dyz/tEzSaTjJ8IxSKeAlSw5XjiHRKwz RJx2PgX8pzsaahaSKJJfZJD3jALpJlHN+3IkCrxXeE2qmgL18VTxwcUkejJ1 L7q6loIWNeu6dUokmmJHnQ9soKCs5eDykKUkilbzCG5vpsAr8CaHr0yipPw5 Hje7KJCp3ykVo06iPomfu8y6KVjluCr5vgaJNI712Y70UBAjFR/wXJNEReuf suz7KfBnB7xsX0GiukpvbanvFLDDU+6/1CHRHBU7jeohCqQyg5VydElke8FI OXCEgnTxZ6HXVpOo20Japv0Xvr/Co6Ita0i07OHf+RETFFjEH/KX1yeR1zxq pv4fCqpcMz/zMA+2VU3GidHwMnPtVZ91JO4X+WOm02lAk1UlautJdDL+ztCP mTSk+BnadGKettufazefhtYTeY80N5LI8qXrF9GFNLxO6Latx3x96ZauYika fEr3arP/IZE8d/EbSXkavFUZ61MGJPLYMrPulSIN+6/86z+FOSN7pPKYEg1H g50vnTQk0cDsr09VlGnYnfw56jtmbd/GkneqNJxRH3Vx20SiYy1l+efVaVCO r2FeYS7XS3uwRouGnip5PRUjnI+bMWl9K2nQyPBdeAqz6VjIvTgdGryW9IY2 Yo5y3scx1aOhtsDAXWoziZqf7bj+Q5+G35LcNAfMkksMLqWvp2HOK3LdNcy7 zi6PsPuHhnO+36chzIm9C86IbqIhZ9emcT7mXrPJ4OLNNNgnPBLOMSaR+n0y YK8JDZXbn4iqY/aZ2X5Y0pyGlky2YAPmwsMV+19toWH7J4M0E8yjb3I8jlnS ILHQd4EZZkNdjrOKNQ1NCzKWbcIcHhtu924Hvi9P4tkqzLUjPtbnbWl46nao RhrzHKddW9Y40PDQm6v+Lz6PzRNT6HOiYdBar6ERM0dBxyDOhQaxxpBrdzB/ Oi2/1tQN2/tlx3bHvPTrNJ0fHjQYyTUvlce832RII92ThjKd3aVNOF45Gd3K dvtp6A3sEgZh/i5eryh6gAZW/LkBacz6B4tlig9h+28Gtz/E+ahYdWmWpD8N nGFd+ec4fxvey729eZSG2NC1KUaYi85kx8kE0bDTJDuo/L/8v61XlD9Jg2HQ w/QbWC9LQnZ9uxuK4/VGs2YQ6yl+KZm5OAzvf0/WsTBfCpiusyyChkBTtYn3 WI+i8vE/0iJpkOIEDklgDq1aXq4aTUN7QNIOwHr2k2SBxlV8nnOOtRFY7/al EXY6t2lYUtA5GIvr542b1KLCBBpEnHddCMX1xRLP6NZLpOGQjf8RV20SbXR6 tX9dGg0JttMTf+J6LPpjq1WeQYNny66bZVokWvmgl9l4H8d/RofRQVy/S34J gzc9pKGqUV+Yu5xEt1NvGFbk01AQurLSQI1ECyyXCY0Lcf4I9tkKFRKJ3TW+ ZFZGw0fbueZpuH/kbXfhh5Zj/5lWp5RwfxkwDLu3rZLG75FSx7e4H3ly5+15 U0XDg3KD5F+yuN5jktR21GB79m1mMjJYzz0v8m1f06D393mZGu5nJWcnKp3b aTAZ8NzAwf1vleaVC5/e01Di/zzYCvfHrFYFS7cubL/N58+wGInuKBu8Y/fg +n1eWzT/L4HOVJ/gepM0rFT3TzrzL4HGfGbmDPBpWBicq5Y/TCB/6Tu+h2ka fO3ijBu/E2ivV/mY7zAN1e5vbzfh/r51xtjM4xM435411V+6CVRVENk8NoX1 ppEx7IfngYGzTNwJIQ1tgxML+R0E0s5Zq3hanAH24J7xO80EkrQK1I6QYKD6 0/ynH14SKO3VgrmGkgzozWo13faUQHoGjwQ/pBmwl27+kFRKoJ1a/Ad7FRgY 1CuW7c3F82cGW8V0OQPdXs/PPuEQSOHspPC3BgN8awv9eTcIlDOW8LVoBQNa dYfXb7xMoAZeR6Lyagba9ALrZocRSLxm2yIRQwZeXp/f77ePQLcMB0afGDEg 9TbouJkbnoclkR0BwMBSC2v9L3iem6Sj2G8sBh5ItfBcWQRqlfcIuGOB75Mm k7DeiEDs2IkdNlYM7Pby4jWtJVBY+Pq5yIYBxVVlnlKqBJr3q10QYs8AuZKT 8kKeQEn+R1/rOjHQA0eC5i0g0HOPvIspuxlIsVQ3vDbBQ9s+WHrt8sD+XTXj C4d46ON20kzCk4F7kp0KbB4P/dykInLWG7+TzUzyDJp56GJp5df1hxjg3HIy tkU8JLPKveK7D45nYMXhumIeysoYT7zvx8DtL63cS5k8tFbxTqjHUQYyjs73 jebwUHXcOlfZIAZmfDaayI3kIfvZ7RvfBjPQ5LMm+X0QDx39PW/M6DQDP8/k BxTu5CFhwMOO0TDs37HtypQBfr8NWJTkn2OgyOqwc4QaDyntIWK9LjCQxE04 9HkOD+V3RgQsiWLgQIXls+AhLtq0U3nn+0sMnCzN1TzWxkVNdRXaV2MYmEhI 2+GYz0W7N7vNZV3H+yeKu4zPcZGg7LdgMhbHq6P/URWLi6xKj/+JvcWASBTK UGrpR/8DylY/hQ== "]]}, Annotation[#, "Charting`Private`Tag$2800523#12"]& ], TagBox[ {RGBColor[0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1gk0Fl0fAHDbmxYtItmXSApFSFr8RVmKLCklJJU2e1lKKNlCvUi2hPBm zU5JXFv0opI1QrI8z9xn5glFRer55v3mnDlzfmfuuTNz/8sdOSd3q3M8XFxc 0/T53/XgOeJ9PT6qGyyzYo7D4QCfgbjHJzFN0C+Lf+D/mwMa6Ump5WL7Yd/I zoHZBQ4cetNf9kjMGka5BkxG5zhgc/ZHbZzYWdjqMN2ZQnJgeFu4wV2xq7Ds 93xAWh8HMtaZh0WKhcCxbtP20XwO3FpavumOWDwoT6sWHDflwBaj2Igyj3jY dbR6bMGYA12h7vhjazzsHbF3SDnAAQVelYKtPg9AVNZV/r0uB1p+Z2/t6UqA 7RnWU1LqHBD4lqAlE50Mfdq1hOY6DiQNXzeo/JMGI4GKISc//oHjJx4XT89k w3M/qb15p/7ACs4tOyPpYmhh5//YaP8bNlp+IZqiKiBSKFP/ICyC71sdSJqt hhXeLQUsYgHWVwiOcHMjOJXiccPz73moGjPoeLenEZYPzToK8vyExkuPJE5Q zdCW7ZK65dJ3mFPcu/qpaytUqi8TjR2bBZ75gjUSG9tA5aK3ct72b7CD41h1 pKgD/MrTJApSZ6AjRPNty5Z3cPnDInVq9TTIxJDzeV86way0Ni3sNQXkj08j vWpdQKYub3j9DEM2q6Zt1b1ucJZ9fJHjw4ClPuu4mb+6QVNvNG/KdxJWSeVM TUz0gEN2/U3KdhyiL1Y6Zyj0QcdqqYqZO6PwXa9g4kJQP1hXHOjbvOUjXN3e XCHS9AEmDBxSA/t64VNRc9R7uUFYKNxxusmoE35d6nm4+fpHCJnPW8JY1wIn RXa9SJv8CL4md4I8vjaC8j7+P841Q3DBGsv9Ol8NRply50vXj0B9/A2H5w8T wVfq1IbPdp9AbzGhYcmaHKRCHV3RbzYKxsR43X2iBt18NW1//uMo2MYf0xAh mpHQ6umlzQuj4KF1aeq0VwviQw+L5VM/Q0aWTMll3rfosmbNwLJDY8DTAMH+ rC5UYOKUUfd9DD6QQYMBMX1I4//HOFSrZPkZ/tuP5kjxNYyEcYjc1xQu+mYA VR4x4o3fPwGvNdbFvpMbRkHGoekVjAnok/BeFbRsFOGfXXlBWyah0UKp8Gza KJIbPvghK3QSPpg/ko9z/ox2aYfEi21nwMeY3g0P2saQnfS7ee5uBjQkr33/ mWsCeV60Wa8/yIANvJF3e1dOoLm2u2Met5jwR/ZG/o2dkyiJz+GqlQIBO52S jg3oMxDgDVGnLQnIFDKyvBnKQEIjlZk8zQS8WeditGYbE/0VcMtaxxPDn9w9 vMZrCFQxQ82jKxgaXu6UOSxEoLPOx9MNfTC4Kj3SshIhULP5NtYRfwzyHtdM rSUJFLJhOMgtFIPx2x+/QYlAKcn/HRhE20zjc4FAPELT3KsaMZgq8V9b4kqg svCTOfHNdJ4ttGj9604gp8UWU4lWDCee/66740WgxslHiUodGIpXnlDj8yNQ 8PNDqgZ9GH7qDjqOBBOI2yHnuB8LA//F7UGKSQTiynMoHlvLgphnWurz9QRq ofrd0texQJ8jMfekiUDRapZb7URZ8PzCyxHLFgKtf27wtFeKBcpFOaLp7QTa 2qpU8FqJBVFhBkMifQSym/z6pEiXBUOBrtrXWASqlgtPu36JBf2BPNGzazAK PMfloO3KghmPs777hDDan3dNatadBW1dw5ui1mHUqeaS6urNgg9Gq9qExTEi wDLF8SYLsqwOFHPJYyTiIJFgmMCCjTEeddqaGIUQJToF1SyIM9/mS5lh5JVS fHdtIwsMApx/LrHG6NliSnhjMwuSJ7Rth45itOgQdsurlQV9yf2yRTYYhcvb e3d1sGBWdEeb4UmMUguX28f1s+D79uzlpk4Yvao7p7KWzYKKq1u4M90xWi5n qdg4RT9f0cxjtydGFrf3yHp9ZYFF2/q5Ti+MBo2EhLt+sEA0n9g87Y3Rl876 X7E8JGgqjmb/8cdIdFyiXVCUhAjpPx3HwjGyP8D/qkGchOtEJlEUgVFmztc6 TykSLNyda3giMVJx+bfs/QYS1OuVXB5FY7RvziclVpUEt2A9SIvFKMzGKX6f GgmffJae6I7DqKPa7N7MdhIEmLHfeOMxOhaoEGy5k4R2Lel7NgkYXeLvuiho QMKpUN/I1hSMii/Wnmk4QIJamd5Q/0OMZttz7T2NSeCLaPcaT8UoKCbI8r0Z Cb+Xmh2m0jCKF1PViT1Ogkrj9sGmTIwG/EU19p0kIfQD2/VpFkbSI7yqM/Yk cCqmeeOyMcrNHJS1PEPCznQ3IdMnGNUqRywVdCPhKjfREJyH0Y6e9W/iPEhw 2T+etSMfo5IbObHCV0iIjN/9ZZJ25psWcVE/Em6wl6buKMRI0ufYp+TrJPRY 753qp/1AmpElEUCCRIRp5NWnGEW4/6UqE0zC0fuGPulFGHGLPpjJCCFhPHBV lWoxRtfrFao2hJNAHrgk8Yy2q+B+UIym18PJVKOmBCNGdTdv7j0SBHledmuV YuTodOb15lgSEoZjvAtoW5UHW6omkHAspT8xvAyj9pNrRYqTSDCvVP7rC+39 fJmDag9JsFTONTMvx6iuUD297BEJf2c7ny+grX204YxmBgni0XbGPBX09/62 UKrKJIFx1JZxhPaWJ6OU9j8kCNcv186gLfmD4707n4QLB1xblCoxSkj/e1dt IQnK1qVTZ2mvNpbh6BaTkGrclvGQdsR0UVN9KQn6XilvO2jzJOtG6FeQ8PT2 gOtP2vmmx4nrVfR6VC2KiVfR8cb2gobV/8U/t0uXtlscu7e1hoTLc203T9Bm 7gpIMakjQSY40NONtuO4wKn2ehIer0hKCqA9GJUqb9ZEQhejBofRPqKpQrx9 RYLUot3xSNodQzWFFq9JeF5a0x9O2zD0kGdXGwnr3k7YBtFGqh+1rN+QwGVV 0uNBe2ffpYXed3S8D9Zr29EuC1yos+ki4VFykM8+2sqbIm8P9JBwpUr2tizt 7Hdixif7SQg+k2o+T3+ftF+ewPAACd4nS960006U1XnvMERCxbfhL4m01/z7 +sHoCAlBFRey7WlHeh63dfpMwh6G9SdJ2rzihPTEOAm2Qs4xvfT632j0HT/H ICE9UCo3nPbcJf5cJkGCw93nIhq03YQSXS6SJLAVtnX00/ElahTVSTYJsr/U n3vTPn22as5lmoTtA0ptArQHBQxffPlK13+n2kwqnS/Wlb2BHnP0+jmKSyrS Nlwyx391gYQG0kRbns63+qKQjrlFEgyiMngT6fzUsRGO9eWQ4ITnonhpq+Rq iPvzUZBZuza0hc73fyyaRhaXUFBlpPlOkrb0vFVW4DIKCji8EZfp+hA86KUS vIoC2zGL2ZkCjDIaVq/YJUhBVh1rtyhtNZ2neEaIAs3kPB0tuv4OKxFPTotR cOKxCdMqF6Ph9NBQMUkKjq0Mtj+Sg5HLevmz76UpKL8XInKQru/IJQ5y+xQo KHGP7BOj618s8BfnpyIFf/gL0r7S/SJ3LmmkZDMFzza/Um54jFHrRPdD2W0U nPdVWg3pGPE1mYhw7aJgj4Kj4otkjO7vYs4+20PBjd4fhnuTMNpQFtLtDhRs OfJqRSXdz/Qeo5hP+ykwKU0bvXUfo4AgrRXInILqMC7haLpfCvzowj5WFBRG OFcX0/001c3j9dajFLTes8tuofvtC/uC0DRbCpTcdoS+CcHo+245rsBzFFw5 4FOrcwOj0PK6Ea0LFHT/zh2buYaRsLJdLfsSBTcn7qU+9MVIQzzxur0HBfwl 5f2NdP/3+Ckwt8efgjmrd/onLmDEcc/vng2goKzGfzrhHEb3mEZlhTcpiKn4 JthM7y+FfcHukmEUjK3M8SbtMMIVP/GvGAraK0dizlnQ+WJZn1Zyn4J5Cf0k MXp/W5qtkXM5gQKngOb0MhOMFO+7nf34kII0mVKiRB8jJ8+JkRdP6PnkP7uV a2A0Q9yq9cqj80Pvsl7tNoxuOsqkbimkIEL4gXyJMkbp5rYnUkop6OlMnjlM 769Dqp3d117S8ZIQkXEUpO+TggG8iAKrq6bR3wTo+fOOKN5toMB4TinfbSn9 vgr9fhktFAj/KPcX4xDou8SIVGsnBc+d9K5sJQn0YkCm1aKbAsVl6tHUJIEC Ek97DPZSEHfr193oUQLxCU02sgfp8dKK5W69BBJcTp0XnqTdZBCfXkugnlZV wTQmBS+8co0snxEoKdT9xSYWBV+L/zk0VEIgae5vArunKNATy6jyyyKQys/5 0tPzFPiVFPOnhxFoqnL3SfIXBcsbDLKnAun/pysBfN5/KNilcr1lhS+BdKa4 bCJ42cAovaL2yJlAhgz+xaKVbHib5BfVr0+gZdkm/+xcwwbbY24bd+oQqON0 1OHGtWxQ8N97/dA2Ah0ZXvW4dz0bvs5bYV9xAok8tDh4SpwNFS/zEsNWE2jw eNw3QpIN8cJxPBp8BHLsWWe4KMcGtaXCQiYUEynE2UyFKrAhXzH0duYnJmKa Jyet3sSGIdueab8uJnJrlyQ3qNDvU3zH362KidTvOMQXbmWDo0PAoGcOE80a Zuzdoc6GBQ/9/upEJvJvlI8x2cGGEN6t6fXeTKR785xO9042JF25q2t8hol4 dHPG7Haz4bBjx6oscyZ69YuIYuxlw/f2jY8e72KiiOotWh56bLA2e+G+RIGJ TH1dRub12dDjK345aAUTrdYqCr99gA12T1kPUqYZqOvrlNpKYza4bOi/WdrF QAkl6oMJB9kQ9o77b1TCQCfcrtyWNWODV/TTq1x3GEhSpVIl35wN9Z0Cp7ps GGgUf+/VsKLH3556kLKWgSwjdJMXjrChyGZhvqtgEv0PASA5xg== "]]}, Annotation[#, "Charting`Private`Tag$2800523#13"]& ], TagBox[ {RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1nk8lUsfAHCkKCIlspQsERFFidKvkCVtSlpEiESFSiqyJIeyhRAiKkTc iLjFZbLFDWWNFGV3nmeeSpzKet657/PP+Xw/Z855Zua3zMg7ehx05uPh4RHg 5eH573O382jLa/bh7dfkhDhcLhf4jaQ9v0jpACfqvY7vLBe00xJTiqSM4fv+ ddbjU1ywaOosTJWyAkeXEoNuDheOOP0uj5Vygv1HRtKDaC70aIYaRUp5wZYN PjUGH7iQvnx/SJhUMChpJ+yxy+GCb9O9GuvSYLj0MpG6nMUFa9ZXPkUbFij4 HXIPe8wFYc6FgLKUEIi//FvlaSoXrrbHXcVyt+HD1YizNTFcsLzb7bZPOQrc Apu8na5x4YZgkcptqTjo0M9ccdiEC2qmMbcKPeOgzefmvGpDLrSyPNif6uLA 9kC9tQZwQWmeeu5673io6xDU+63LhTezGevbWxNAuf/23ElV8v7xhE1yEUkg KcCvEiLEhcQeH6PiuQfgyNpioNY0B0ePPcz/MZYBU/0mU/NM5uD7J6tFj6Qz IYm3c6pn5xyE2Ak6HzLKhAJe08XFBnNQdMpDuiQuEyY+vz57fNMciLgbsHx1 s8BRYP+6IKU5qA36eHyB3xPYPll634RvDjbmiS2QFXwKcmW44WnZLAhxb5ww XZUPA4pD2fLKs7DG8ttodfgLGM9JOjvWPw1X3ulB4sQrkNkylzTPdgokX4j1 8vIiaMgwXy3U9gdK+o0a32+rAglXk0+Oor+hyi1V5hiuAZNIH6mfhhzgKBuI /nW+DtZb3TTojhgHvsncJTJr3oKwgf/X+mdjsJlrX3LoWSOoruRZsmvoOzQG 67x7o/YeDsgV8SmEYZCLpidzvjWDgHTN2prJUaB/f+nt0GqFTd0d3vXlQ5BB lb0ViWoDr7wwxeBj/SDovZx3ZLoNUlqNdZ8f7AORlU++Dw62w7mObCn33b0Q 4Vp8Ol3pA/yo+ZxuFNEFv3bkDp4J6ITEVNmujXGt4LWx5oVEdRdkn2sLTAp8 C1+e1YS3yHdDgeV0fhinAqbd2u+r+nyCHe84MXPPM8BGQr/0wdAn6L3vYXHt UzSs2ykwd7rsMwQmhgcdH09Dpo/kXZ5L9kIBTjn+kClFV1aeVOg78QWUePIW UX21SB0fFurc+xW0Wi40iVc2ocDaH7Yun76CsGbBgIdOK1om+kOwZuorBAuv v6o21or40f18xZQ+OGDQmjAR8QGd1Sn7uNCiH4INVe5GGHejXHPH9Ipf/VDl 2hxpUdqDtP//DICVstnk3v5exKGllwwnDIDetyvqW52/ouJDpvPijAehd3dt r/ifPhRgxkp7MTwIcfqDnUE2A4j9pzUnQG0IQhOFfnNGBpB8z+6ux6wh2FAT qlafMYj0dYPjpDYOg6fTTEnixBA6ser9JG/bMATru7QESY2gC65HJA27h2EV onyr1owgztvIfs8bI3BUQ8d/w45RlMhv53VQaRSsKrRiOdvYCNgK4Q6Wo+Ct uTA27jobLestfsRXMwpTly5dcl9Fofl+N6z0LrDh29FIoZrfFHoxhifRJTaY CZrXFU9RyOn00TQTbzbkSGrWZ85SqGa/JnXIlw3OLBwfOI9GwQo9Ae4sNviP TpvKi9IoOem/hw3HI5sa+JRpxLfsB69IFRvYT8xZdw7SiCfHLr9/KQVFvHc0 JzJp9AZ3uqctp+BWlDxkZNMoQsty/YkVFJT3nZ6wzKWR5EujvzpWUpA/T8M8 q4BG6+vW5tavpeDOwKDbxjIanRj6mfVsOwWNhxtnP7yn0Sv50Ac+bhScsz4l bfybRv7OPHa65ylwU19skTlJI+OcaysnPChghh4NzJuhUbPWuZTzlyk4mtxo 9IoHo1GwTLYPpMB6tvgG/yKMJOxkEkwSKHh1y3NMWhaj4NECvdxXFBQkf1id q4vRxeT8yKVVFPxaHhqyeTtGf88kh1bVUBAex3qweQdGM3YhNy7WUVCclcXW NsQoVNH2cmsjBT/PBYgom2CUkrfINraTAq8frF2jezGqrXBWX8pQ4Mc9j/tO YLRI3lK56jsFsr0OQ0V2GB24uW31xZ8UtD2wHwiyx6jbdJl462+y/rgl/ZJO GH1rfj0dw0eDnm9GzMqzGK0YkGkQW0HDY/4zn0lnRra7BGorpWkwQm8fbvLB 6NGTnxUXVtKw6thy3TZfjNTP/VvYokCDRAa3ij8Ao50c7+QYDRrqj0VM7mBh 5CbQ6ipmRAN/3bMo6RiM8l3LT1XuIuMNdkeHxGI00ZBte8GMhlokofT9LkYB 0QGWLXtpMLb2HStOwChOSkMv5igNjifTc6VSMCpfd0tQzJ0GJ8HiV5uyMNrc LtkU60lDH2W31+oJRgXXn8SIX6JBZGNMlkc2mW/TG+kVV2lYfSY8KeUpRrc8 5mvIBdFQzNwQff8MI94V8WPpwTR4TtrZtuVj5PNaqUQhlAbd9Pz97QUYnRcz BuUIGuK7rJY0FmJ0sCjIUiOBhl+BzazYEowabJZK5CcSH3jp6/s3Rsb8j7q1 7pP1VW/5af8SI93Dlad00mnQvrRhn3wpRrK/uZe3PqUBwq5uvVKO0dM9R0d9 SmiYOfxmvlwlRiP6fsnmFTT0JmmEX6rGyH5A+GTDaxoEtiXrK9SQ+IWnKO6t piHOTFeqibjxc1negXoa6k5k75V8g1Gh/1TFkVYaonVPjV+vx2idStjNj+00 yPD9c134X4wy3kuZ2XTScDx/YEEi8b3Vei12n2ngoVXmP36L0fWqKwPOwzTY u2+ZCm3EiOMmkD0ySsNvZd1Pv4jdl90750rTEHl0fZhDE0YOTiWccz9oiNmq oqv2jsxP2KT0208a6AyWyi1iq+IOf08ODdXG8W/7iE0WcAS8pmjg/ooXvvUe o9fPghs5MzSMh2xObSfWOyIec4VLw/yQ4WrZZrIe7uPDk7wYIu8YX7MnVs/W lvblx6D9V2dxGnHmgeremQUYPjAiF7uJV00efOy/EIPC1I6sJS0YJT7sd+ER xvAwK3e3IbHY7ovqQSIYXG5eOuJBnF4pKqQvhuFM6j+/kom19P5ijy3D8CdH Q7aSGBXsrs+RwPCIc6y8j3jf2tEsBykyXiv//QxxTxqLJSWLYSjfy2xpK0bn JBWdWlZheJz3VlaBeDrqteFteQzXfXJ2qhOHLbCT36mEIb/sa64WsZT/NPeP MoaGKIkDmsTZnMTeAlUMnJI3CmuJt5zfXH5GHUNsxc4VMsR1g233V2tiUBTP UxIktj5xwadrA4Yfq2e3fifzGW4TORatgyHi2JxlM/FlizxdM10MtOnu47nE /NXmEjz6GPKiLMwCie/qj0z8vY14aKvofmKFwuA2D8BgKqr4SJL4uapCoYoh Bsc3HeMfyf7ueIiivxhjaM6Y+BVP/H6Frcc9UwyveelUC2K76Km9+3eT/a9n uqdIPP0CNgmh/RgCqPbeXcTCv1vZ3gcxuC8RvP1fPqS4e9avP4wh91H/HW/i Uttc1oPjGM7eS7wSQfLLvMPMydoWQ1jAZ73FxF17hg1F7DH0zcbL/Jefv7bK 8/g7Y9jj7zrr3IARq6iid9MZDLqpnZ/fknwWX3einHHDwL/PPnktsbb0PR9b TzJfs4Nn35H6qIrRObb8EgbZw3U2EsQHF7bqNl3GMP3ObdC6DiPPP8Kcbb4Y dqp+86qsxYjr8bRtwg8DT731EZrUX9SIaWFeIIZhtemQxcR5H4I8ZEMwZNSZ BehXYcR+8Yc9HY2hsqYxUaeC1Ifl6wcFdzH4QNF3OVL/ghnaT84mYPh+td2Z 5x+MlO+6O326j8HozgrPp68wcrww2FuahWH+0tvmCS8wGhu9UX4xB4Oeovqk fhFGgfZyKWp5GK5VeEV8eI5R2v7jx5KfY+iPh/Ex0t8+azS3XfsHwzpvm79L SD9Mo8X85iHyfzvnhteRfumYc0g5shJDmpyjfWImma9S59X0NxgcjOa9tX5E 9lemd2VdMwYuF0Wevk/i81Gu7kAbBsMQWvFuEonvPQfP7g4ML/65t7bkHsmv ZUNVTDeG2yKu/F9IPxdbhF3EhzB4r8mMfhmOUXudhtiDEQyjM12q8bdJfbI8 SlUoDJSEqoZLKKlf3nHhrd9J/rGO9lFBpN7/TD53mMTQsob18dw10j+GBWae LWZAKP5d+mZyfi3MMM/csoSBWw/TKGsH0g8dwvdVLWWg/szosCs5/w71iDzs kGTA0eHiKpejpJ+2LzeZkWfAvjDW9KUFRkqxR76zlBhQpVqwixnpv/uTEkVV GPhad95VcBfpdw2ytII6A8F3arqkyXntW6UYbb6ZAe3HAtl+mhhtD3TWa9vC QF2BoUbeOoz4tj/pP7GVgZWH1DX/VSHnzSu1TZ47GFh1cZ9FkxxGCQUbuhN2 M3Az/mn2uAhGHVq3oiStGDhtnY2Oz9Ko4AEoDdoxUFuuaWjDptG4z7iAgwMD rf7tRjaDNNp85Andc4oBJ747UUZfaFQmKlrUeYaBMNnYp2/byf0osHdnw0UG ttiI6j2soJGgbewas8sM9AjJDrW8pJGFnsnC2isMRBhEXRkqJPeZsb+aK64z sDVpbPZ5Fo0+OfqdLAxhoMzqH/wmgkarYIOR5m0G7I6UnuKwaGQvM6ScF87A mo75w3P+NOk3e75lRjNQHeKy8IEnjX4Yy/olJTNQkCh+bMiSRtryzfYSqQyU BvGtqjWnkffsTeO7acTWK3Iu7aTRdDEtFJnBgPhdnW4dLRotUClLDnxG4ln0 r/Z8IRqZz/Pwny1goDB04IIUL7nvfVFw9CliYF/Fzz0jvygklhim6vWSgf4k 5dT0PgpZeW1fPFbKgJr1TPjNDxRKOPDzx/lysh8n7cZEGigku/D4S5cqBrzT 9g4KFlHo5NDilMEaBkRUX9S4ZVHoUWVlgEMdA1TajQibJAqp+Kia2jQyEMJi pOv8KORm3aPW9Y6MX/UlQsODQnkbY0QOtzDwzP3h68mTFNpI/+nY94GBi09u ZoYChS7X5b1q6GLgZ51iv9J6Cr18bJ9q9okB449HYnpkKDQVIH6jtoeB14fu 7Y0XpJDBiXonw6/k+8cft6tOsFHglutmqJ+BFw1BXed72ahKXEt92xADXQci Lq+rY6P5YwOir0YYMPtZukjqGRuZNd0b30SRfNUzP9sWy0ZhORadhZgBH+Wi 8SYvNmpicUs1vzPwdNB126ZDbLTEsehB3hgDWnoD6wrU2ejgdpcg1QkSnwUG WmhuFMVLy5zO+sXA8OIN43erR1HXr3fmipPk96I1dKTjKBphyoKqiAM5qVmG qqPof1WSCug= "]]}, Annotation[#, "Charting`Private`Tag$2800523#14"]& ], TagBox[ {RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8Vdv7B3AaDAlJZZ5FaKBQiCcpocyKMotrzJQyZahQESndCJdIGRJl aNDNQoZSypg6hmQ+Z091S2bnt7+//c95vV/nnL3W2vtZn7WWnEeQjdcqDg4O QU4Ojv99mnlNdzUwjxsEyfDNsNlsWGMkHvxNTBOIpE/5Ucts2JOflVstdgj+ U9Ve9XOBDUc7+qv+EbODtV6ryc4ZNth7zr6+JeYJy/Kip50xNgztumKUKhYG ioJdjJI+NtzbbJmULJYAn5fPRvEVsyG6I7P5RF0CvLn81Hf5PhtOJI6sUnBM hJ5RTVHsHhvWz4TEvcpNguL5HzUvs9kQ0Xs7Ape5Brd3wqJCGhusMxh+Fkpp EKj2VntHGBsu8lQrXxO7DV9P5i5v0WeD6pGbV6uCb8Me9d5KTR02dCcGMQfa bsN/ilsvmGuxQXH19kc7z/8N/FuqvIN3sKF1uWhnb/cdKDrx9VG0FN3+rzta MtfvAlKOXVW6tAJZQ1FGtSt5kBFUUuzzfAUcThZU/vhZBL3evBu+SK8ANWC3 rlD8AZBIfre0+AokufB42Ro9APRA7Yzb5hWoPh0k/uz2A9japKv1lW8FBAL1 E6P3PgRBM/UDuXPL0HLp6ymumGL4ezjuu2/XMuwuF+KS5CkDVbumQfX4ZeBj X3Q6Il0JtlybFEa7l2CrNTn9JqUG7LOzKabDIoR/1IGs3y/B9PuZAuMb8yBS IzTMyYkg0mCuq7lpFp6NGn34tL8JsliRC4znM9Dk94/ESbwZZL88/blY+gtm lPQFH59pg+kDUwEHXv+EVfOPNkhsbYeBcaqYdKBAm+32zLbiA9ztau3Qz8Dg Q4Lmx1bVT7CyOm0+bmkKZNKx+VKyEw7rhcu37R8HbPbbcJ96Nzjy6dmfGxuB ItardoG0Hjjgfv+zxQADeM5v5pxa7IHBvxYaktu/gIBUMTU+3gtX9SWM5316 4bpv7V/3FD+D1ZM9rYY+HfDnwKNxn7h+kG14OcH9uBHCdjfXbHnzBdKZp4+7 7X8M3yqaU7rkGBDfjPbtu5mNFv16c1SiBqCBy1XDw6kOOW7RrcubGIC17Te7 rEUbkJoh98pfrwbBgbv3S+14CzpSKOf9VGQYHIQCbrzv/4jCpVzlvzt9g2Pv doKBew/ajh/n6zcfgapoPpXNQv0ovuWHs/fACDBuuH3y3s5AwoI/eJoXRkC9 g3f47iADrUE5lQq536He3+BE8b5h5K/56ivv0VFQ67DQt/o8gh6Zetyr/zMK xzNH8peCR9Ge/7/GoIJM/iWwMIpmMPENk3fGwDbM019icAzV2h5ZffvQOPz2 vvhuxGoCxZkk5tdMjoOv/8KmnLuTiDnXXRqnOgFme2SbLkhMIbkhsy/3Eydg 0DUPibVPId29CbfFdk+CnONs2QsOJnKS/jTP2TMJOj6vF/sFWSjE117kIGMS Qur4eXdLsNBMe+po8MUpsOrmS/lPFkNZa1zCbBSnYe3h48XVfDgCpnyKu/U0 nLSczVgyxpHwcG3hquZp+HyuMeTjEI7Wxly00wlhQufxlH0JpQSq+YnPo7NM CNoWPW9aTiDPvxzyjc8zgci8pS1QSaBmy10s22gm+Dy+KH+rhkAJ8kNxgYlM SK5TqbiCCJR9938XE3KNo9Sl+wi0SvgHp0ATE6iGPRrAJhBHqUvl6EYWFIo6 uqZakKgV7w/M38wCM86uj9LWJLqubr3TSZQF1z6J6lTYkkjkhdHjPikWOMts mG91INHOtm2P3m5jATu2cdWIB4mcJv57WGHAAuufM1sqz5PopdyVvCg/FiRi 7NvPc0kU68XhsvcMC0QP+jaszSfRodJIqd9BLJB8VPvSuoBEneoBuWfOsUD8 Xbng2AMSTYN1tls8CwKOeEtiFSTa4iJxx/gOCxA5a3qjgUQJ0090Hr1kQeqV wvFHAyQKza5M3djEAtOyb18kRkn0fCn7SlMz3b9w1maRcRItuSRdDG1jgSwn viI4SaIrCs7nuj+wQNPQqmOBSaLc8nXOt/rp8ZqDUs1PErXUe23fSLBgkDNf qIaDQqJjEu+FRDHY39FizJCkkPNh7pZGcQwqivq2XJGmUGHxf/UhUhiYBRpa ashSaHvAu6oueQxmIzOoGAUKGc6cz765A4Ndi19LZ1Uo5Mfd7StkhMGoJqPL T5tCr9Wu8ggFYiDupqatb04h7V6RjlvBGLhVbtaNtqDQkwvFNzedxWBwqP7J M0u6vY5WcdEIDGCbIr7VhkJXg9bukLmEgSw/y2biBIVsqi9Z77iDwRQjL2XC lULvHTduqczCwEN7W9y8G4UOrSlkqOdgsOgGdes8KLT3eONpzXsYHPOPWlT0 pJDkLPucXhkGDqwQ+30+FCo75jAd9QyDSM+HYiMBFJrSjck2rcfAx4h41x9E Ibex9a7vGzBwjjT4UB9MIUZKroL5GwzE2LnjhSEU+jD4qtzqLQaqoUpmHmcp VBW7UG/fTbdXq3Xt9XkKqSknX/7ai8GZ8h+D18MpVPRJzMSxH4OrBzXVTkZQ KFNWp8tlEIM312dLpiMpdKEpfMxrEgP2yGLT6AUKzfhxl0xNY5Aj9CbhbgyF AoUzA3wxDD6vClMwj6WQu+ezmYAfGPjXikyXxVHImGuGO2wBA8KOkjlwiUIN FQkfZpYwIGs7Tg3R1rHfdDOcjcHxpkKb8Mv0+yzZIx69Bgfn4xE+BQkUEjIL 3X5JAAfx+tDajiQK3WsU5NMVwoFoPKDveIVC6jqPmT+Fcfi73aB1nLbFtumH 7mI4nBeubMauUmgoPzFRTBKn69Vvp+81CgWIKHh2SePw9Oz0xVHayVwucoaK OBy7u+bj22QKicUusueUcOB/6FmnlUKhkpms4ScqOBT8yxuRR7ttvCdHdhcO I5yj5qevU+iEU0jUFw0c2nOMTyLakz0CJ9M1cciPt5EUSaXQmjemWzh0cfiM /6x4STtDd+r38/04GB6UClmTRiH5qoSeIMDh+qB0pxntpyryVcoH6fHKbmi5 TvtAAUr/dgiHrQ9mTNppfxJ1Dso8gsO1kXq71Tco5JK+YG5phgNqP/x9L22S O2s7tzkOPxIsprxpx8Rp8SFLHMSWklwzaK+f7Waet8FBODnpYB3t3MDgtzuP 49B4u+PqIG21Sf7iSXv6+aq2qC7QrnN+lJh3Cgfp/HpZ4XQKmfaZeJ5wpvsj +8tDmfaXY5MHBdxw8LG8zNSm7d18Wa7VA4ePvefLDWn/0ZPjiPXCwfjHq/tH aCdW1w9r+eDwjUe5zYT2JjWn14QfDno6oQKHaRcVzuc8OINDzNf9Iftp7xHP jHIOxiGci29qJ+2mm5onN5/FYYfSYW9J2ja83Xs7zuHg6LuXuYb29/igLYkR OKibCXlO0/0Pnls/sz8ah2XuiY+ttNlBZT2/Y+j+yRTL3qOdNnWkqjweh87G HVZhtKVcJ9I9L+MQZ6RuZ0S7/POlIMkkHDzSjBX4aetZyFr0XsUhOGW6uot+ H+0tr7dfT8GhLfnMUjptZs0cczEdBxeV/lQ2/b4Z1g15TzJwWLF6K1tJm6do T7H/HRxSzmdfcaCtlBHoOZBDj88zNzOHrp/adeuNMvLo+zs97tCkfehSqdzR AhycBKJ839L15xEyPlz3EAfXsZCHw3S9/py++Dq0FIfDTpYa7rTj3WRyVctx kC0+OjNE13e+5amT2U9xSNaChRZ6Pgzu6OyJ/BcH1thoqQU9n/IxoZjVCId9 gR+dHyfS9y+1VUptxKFkc2UNF22mYn/EvVYcYjNmZEvp+flHYliqrRMHXtP7 TY/i6fr4KtNm1UOPhzroMkzP95hM92BGHw5LDPFDfLTXCE80EQwczr6dq7el 80JoHe69aQKHyybiEnl0vvS27RDKm8LBSN6uuoDOn6zEoDplFg5zxMbd+XQ+ SXP+Wq9H4WCzOefxlXN0PszNP3Wfx2EI+Yvz03lnPMm9VMFPgHx8+/zgXxTi LTJ9sG8DAba8/QYRXnQeuqdYNG0kIGhdeeR6Om9thwQK+kQImODxT5Fxp/O0 d7PxkhwBNVu9VMhTFFK8ZU8lKhIQE9S7zfIknb+Wd7MElQnY/d47pcSezrv3 kpj8dgI2KtupHrKjUHSTQrqpNgHG+3lTJen1xCDeS6dnHwFqrg1eBkcptMqg eNRJjwCeJd85e1N6/XipqhV8gICPmC4VcphCd55oMO6YEbA/dPySgT6F+tSv ponYEZBo9Jq/RZNej/JAcdyFAPWw1QUKahT6FfWL292dANc/HlmN2+j1y74Y GzpNwF6tjZwnlCj0SlCwut+HgKJT3BXuchRqjR82fB9KgE1wMRenCF1/zre2 mpwjIE1BRMpyE4WO6hjztoQTMPJMt/CWEIU6fz7urL9AgLuDsO88H4UGPGJc q5II6Nse9cGQXp+lQcNo1zUCzjeeMNy7TCI3iQml8hQCNIhGUnaBpPPvGPkg nYBnl9Dhzl8k+nFIMuZuNgH+qtun7tL7AS7lV9nxFQTosb9R5e9IZLo6KHb5 CQHnHAcEPrXQ+6Fv8h5R1QRY3tATH20kkVBWskrYCwJUr5RgX1+SSJL31Avv JgKKVZL+5SklkesEf+54MwG8DuFpZUUkKmxsjHNvIyCwKo2te49EylEqRxw/ ELDi5+KnlEmi3dhcn8VnAowSbc9IJZDoXFv5y/dfCFBk1tqpxpHoxX23f0wG CPCzsPkuH0Uifae3ngdHCCiUCFbtCyKRSUfmLy0WAccveR/TOEWi9Rr3LjLm CTCviU1N1SSRc6W2kNQKAQuriVBzVRI9OzUn0MlBwsd6R+KIAokEuOrWX15N wpjmpL6MJIkanPR5mDwkVDV+WefGT5/S1h1i1wiTYLISnMZDEiiqdu2y9xYS DCcjjN9OEKjHrW1BXIyEp6FLfqeG6P3oc7M/8dIkiNr/1qDeE2jS05o4pkJC 6lHuN0UPCWSwQRhjq5Fg/4LrQlMugTJf9U5X7SQhtmTnk4JbBDLZ6DAuqkkC XJZjZMUQ6N5rsdH32iSET+q6loUSaN5n4FusDglawllBwd4EKkMuA+MGJGxq zudaZ0Xvd/1lv2YakqA+p5fQa0TQ55nRz2aHSPjAfdDNcC+B1p/x6n5iSoJx XXotS5JAgeIB7y7YkVB+Wlm6chRHrS072nbZk3AtLEa0qRtHMiFU8+hJEqr5 fT00mnDU2RbaYOJKQpkhf8lkHo62ndWsX3QnwcAioJfrOo4uSv95VeFJgtKf zmPaETjafS7y+SY/Epp5ni0eMcdRsqxebVsACRGSUtYMLRyNvV+qigoi4WEB o/6zJI72h9c/2RFKgt2glfZvThzdlo+vGAmjf8/oyOscxxDRYVieEU6C9rsz g6PNGDKOXF1mHEV/739jwK0AQ3mKLcXzF+j/z09xrovE0OynpAflcfTzERaJ eWiKIatok/uul0j6PHY6N1oAQyVK6wo2JpKQO/y259QLFqoWyilPSyLhejCl s2LNQv8Hhegpmg== "]]}, Annotation[#, "Charting`Private`Tag$2800523#15"]& ], TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1nlcTG8XAPBUKkmL0qakJKQSpSQ5CJElFdpXhRYtFIq0ENkS7Ys2pdKi XwtaH5JCoZW0a2/m3js3tFHN+3jvP/P5fmbuPPc5z7nnHHlHTxNnTg4ODulF HBz/Pg2dx5pfj5/YaSW3dJLNZgO3vrRXn5QmSDQ3ZPvNs0EjJS6pWGovaEts VyL/sOHQp29Fj6WOw2yh6bU3k2wwc5queiTlBHdK7z6VY7KhZ9Mt/ftSPtBj LMpX1MaG1BVGN+9I3YBtB3xWbXnChiufYmtPlt+A6p+LC4ZT2HAytJ9zjVUo VImKS0QmsUFg0juwIukmWHAl+HVFs+FyW9RlQu42mD6Vf6wQxgbjyE7Xo0rh oFvqZXPXjQ3BfMXrbktFgX2PgGaTKhuUDR6GFXlFwbSC7SuXDWxoCfUc76qP guFrYtpzimxQ5FLJVbsYDTwjqqoCMmyom89Qa2uJAYtjd3Z1LMHr/4rZKncv HsRZn/atGVqAuB5//dKFZLikxf9fXOQCmFukPacnMiAsuXJlZe88sLqO86dL Z4LfDcJD9Ps83LTlczbVz4Qdc+oOzq3zUHzKU/pFVCbYWOzaPFs/D4IeeqFX tJ9C2uidof7CeXgX8t2SJyALurK0moqD52FLngiPDN8zYDpyeoXIzcNSdrC1 warnMMTpNpx5eA7WGlNjb++WwO036z9EXPsDlz7rQNzvMsgn8lhfjGdAokSk d9EiBI83hr/12jAFLwb0G7/sqAH6pHn8h5pfUOP6eKUFUQuON5Zbhp2ZgEkl PaH8c/WgYuZ973gQBZyzucIr134EO/bpbUcXxkGLbf/CtKARhIIVN678MwyN NzQ/1yl/gauck34n9QZALoI5m0M1wck/r9eGt3cDc7qvt129Bd4HfNhRpPAV MhgVHwXDW2FszZEqt2efge/iikWjf1vBh0dNlDv3IwjKZrGGhtogu9tyw171 GrjnUno6VfErNG2NLz2zNh+mduUOnQ38Bqndwi4d1snIZ0ttifjbDggbaYgt mi9HfQW1d5vlO0GmarceYV2P/rq2JW7w7wLDTqGUNdubkJX49vLk4S4IK1Hp sY5oRht38y6cruiGk7ncPRo6bcggXf7MfxK90LkaPOqMOtAlWTuFH9Z9kOz4 7XM2owupECeWfjvSD0OeD2nTvX0o6B1tc6arHwoq75ew+H8gUSGar/ZPP4yL vE3otvyBuFHi8zVJP4Atovgupn8AuWlWfF9yaADeP2SmsryGUO5Bx9TqqQEI sVkh1js0jDT+fw3C0IK8EZ/DCJpkSguPxAyCTV3+cIPqKCo1NeCK2jsE2dWu P1ICx1DggdCUkpEh8Fz9oaMqZxyNz7TkBCoPg/X1QN1UOQaS7zHseBI6DOfM J5Rlqhlou/aNKKktI1Dxn1K6SQcTWa/6MruodQQ0kmai6c8E8nYxk9jTOQLU bo1nBt8JNPnx/oBX8CiUxuWUlNSTKI7b1sdEcQx2ZD2uG3tMIRhXuOtgPAbh 30/oyrVRSLS3NJ2zdgyWpbo0LbFlocUBwcd1vMfhlmW6xiUBGpVMELPowjh4 Rag/rFpGI6fT5in7L45D3h4NfS4hGtUabWKYXhmH6gbfJ/dEaHRDoSfQI3Qc rF2mD8eK0ygh/t81DnIelMCt1TTiFKUXCdaMg/PXjd20Bo04cmyfDyxnwI5P J3qjzWlUR3zzSFnBgBqlWyfrLGh0T91YzVqSAalWi4lJSxpJvNLPb5dlgHt+ r7uJDY3U6tfnvl/PAM2tUS85HGlkPfzzacFOBlzyaPqz2Y1GZfK3kv1dGbD7 q63F4FUaXXPmsNU+x4AQnxseUwE02pvjJ/vbE9+/mfsBXyCNmtTdk875MqBt NIq1IZhGY2CcYB/EALrvhKxDKI3EbVfG7I9hgK5WSULqfbzfsUKd3DIGPFVK +mWRQKPzCc/vL69hQHb4LRu7xzR6OZdwq6aWAZYbPdYfTabRnO3N4PP1DCgI OvJTN4VGt9bY+LY0MmBvjGCQWBqNkvL4bR59Y8D9UwseZRk0elftrLKcZMDH osCJ5lwaSQ6ubBCRZEKhnOmsdhmNbPbxvnsjzYSiyNUKi8tplJ71s9pblgm7 vMXUm7FV3D8UNSswgceledq5kka7Jy8mPFRlwoLzhEwIopErb4uLiD4TatRf MK6/o1HVxjA+EQ8mjG1wTXraRCOtNolPj7yY8KK/wFC/mUaFV7Meil1gwn6t opFe7PRPddKSl5lge2Xn0PJWGoV5LlaVC2HCVJRI17l2GpkUhxirxjBByWmy l/pOowar5eLP45jwzGftlF8njj93eqd6IhOehrszubpopH3izSnNVCacPirm LtZNI5lptq/uMyboPV+fva6XRs8Om4/5v2CCW91Lw/B+Go1uD0g4WM0EyYj7 EuIDNLIfFLBreM2ESr7m8HDszrtJa468ZcIr9bstiwdp1NhdkXfsPRPaDheU 09hF1/5Um7UwweC8FvFymEZXay4NOo8wIebo1df84zSadOXNHh1jQu2vYXdP bA/RWHcXJhN26rU2t2A7OL2YdKeZkHevH0UzaLSfZ5LX5w8Tog4iHgGCRiKG 51VCBAmItH+3uIyiUeoboaXbRQgQTuHUEWLRSF0nf3xClIA5frumU9hH1489 dZAiYLzy2Ro+mkZ3eGzldysSsDZ/TlFvgkZS1/6yZ5QI+DrzZvdN7OzJuN7C DQTkPowu+oRdP9SauHoTAYPvF4WZ/aQR99uD4hzbCcgL5qw7+YtGkdtHf7/c QYCtobfBI2yFohutnkDAWEz80kbsXWkoom8vAUER3Kbbf9Poi6SNZ6wBAV7f njd7YNtG/DliZEjAQv7w7TTsgMCtS5ER/v/7wY8XTdJIYLpl/KIJAdIVq3+r YSd5eL1XO0HAUHSlvyV2uU1uaLIlAWH7JQXzsA+2H3A6aUPAaZm+FS3YHYdH 9gjaE3Dbu1B/CntKV57jmjMBJhbbeHWmaBRaXN279SwBI8OvY82wxTZaV5Gu BAiUTOv7YGekzyZmniPgiqvmkgfYGtKx/jZeeL+P6oeysGsealqsuEAAdfVP azW2yZIW7U++eH/rhdpasX8EeYqHXiagTXHXwAi214zA5I4rBLy49PrvNDbb 81nr7wACugMrZHmnaRQ+alCUF0TAlo7j+8SwZe2GI5yuE7B+e7anHHbe1xBP mZt4P3Yf4tdj6x5dfbQtjICywbevN2F/fFelcu8uAccVE39oYlvqWS3dG07A dnnDWW3s8ZKZ8b8RBPy2esutg91p/Dq5MBKfj7gc5zZsvgyNLLcYAlYZFzP+ 3R+7sjl0TTwB9mcHq//9v1Kkh1NXIgE6m4/5/1u/lF9APzKZAOtSJPXv+faG 5MgfSiPgfAEVL4rdOrufgyuDgGz7iOnF2I7eQ73lTwnw8zm6aQrvf2IsuOp8 Dj7vL+/1hrCD7OWSlPMIiDgXLdeELdxR6T9QgM9La1dzGXaKkaVFwn8EPGo3 NEqb+levp7VNSgjgi1CJuYldvTNanP8lAaaSJuku2N2qTa1+lQQUXB7+u/7f /UyRAC6E41HnVMyL7ZhjqnT/DQGa4c3uQzg/xhW/XU6tI4CIEP8ei503IKmg /IGAWuFnoR7YXqmWDcUNBLw6krZO/18+reyVrW8ioD+jcecIzt/y73L1x1oJ 8Bn2zi/5l8+xDl6d7fj5B6y5g7G5RYdryE4CPIb8bUSxRfiJM2LDBKjzdFut wu9LW72qSPIoAf7T07ld+H2LC/UsX8cgQE1D530M9qpFvwR0WQQ08B45yYOt MjP7n8MsAcFBUrYf8fvNKtW1Yv7F52kqkOmLXXQhgNt3gYAD0hrxq7B1WBxm YVwkfP718rILrg/7R3jnCpaR0GH9O3mApNGSjIOZ24RJUMrS7PTHbnS4e7Rm OQlrJgNShbFNewTT2iVIuE3xVGriemTftmL/nDwJx6qi8mxxvVJ8ZMYKVSQh SHFt9QCuZ6NG8XFC60jg7OrWdPpX7xpkmAoqJBSWxurZjdHoSs2aiINaJHwb UN64dYRGO4OcdVq3kVAqZtX+BNdPzp1ZA9a6JMTYXS8Xwg4rU97qtYuEj3Ha cn243sYUbu6MMSQh/RH7udUPGrWrh4VLHCdBJPrI22pc3wuTQXHIlgQ6OSOq DveDX/6/eB0cSICZNnIJtpZZFrPnFAkTiSf0DHH/qBASKv52lgRrDfeMNx14 fgjq3d1wnoQL8cLNd3D/6XIMsCu6SUImc0wr6DM+D9isv+k2Cefp2qgHn3A8 Vg4r5d3FzzOr75XYSKOR1sNUZgQJlSLXArI/0ojeKxMQn0CCinX1ZEwdjXjW VSQEFZDwc2r0b2UVrl9cntfmC0l4tVvsywPcX+/1KTj6F+P4zSwE21bgfIm7 s8HnFQkurdPmrFe4ny2xfHWmhoRT5/Wu9hTTaAtzpv3oVxK0ggyP9WfTyLc+ r6yhgwRuKWEdtywavXpi//hAF47PkrUqE5k00rN+77SnHz//6fwJMp1GBz7F /trKIOFykt+GnCRcfzenBnfOkrCQlrV14SGeD55ricgu4PPzUwsQf0CjF5Yz gk0cFPy0y3FUwPOLIE+5wHUuCm4nai9bd5dGr631+Mb5KNhS8UJX+hbuD/x7 2SWiFESQkTEZ12jkX7p4/ow4BUkX5fdcwPNUq339H2kpCkYyTAp1/PE89NJw KmgVBVGCQ7vyfXE8nYzJwxso8NaTGFN2x/kiLMpkb6RA54yoc7ELrlcVbWNF ahSEcxXZbDmD97PcfEhSkwKjC07coniee4Zsu4Z2UiB84PpjCzOcj9LuH64e p4An1MbmA+Dzfqdav8mMAnHZrzdSdtBIzptVO2BBQZFB7YGzOnieqz//+oAd BeVf1IybtuB4+/q9FHOloLDlih6tiPvrat3SencKLs7YaRvL02iwYa7I35MC qiK5LE2WRlEKQQX9PhScbh31EsLz7PSXm5l5gRSYysz8FeSh0bErB57YhVCQ fcM8r2cR7sdK/GnLQylYHNv7Qe0vCy3PEQzOvYnjm5vTMTPJQpYB95Mu36Gg z09S9tE4C1UqR0XujabgkthdHdlaFhL7euLhdCwFVcq39+0sZ6FzwRIPniVQ UOHAeWBdIQut6ki4I5xKgdut2jKDRBYKCk0L7n5GgYyJ9XNfDxZadonX0CGf gstBGUoWp1go4ey55SPPKdB/I9k4ZcZCxYd0nrBKKBjd1+htsouFdumluPm8 xOuJPI7g02ShRrXFmrNlFPC79S12WcdCIyLNtZyIglKOqrdiy1joPJf2/Vtv KDjc1JJ5nE0h9u+kEwK1FDBys8bWTVBIsuPsyIoPFFxQUZZxbaXQoWQOvg2t FBhWhJQdfkihjgenm/LbKaghM79KBVLIKbgxbksH/n5zhq20O4WuOcVt2NGD 18u0c7XQpxD/yYWJ130UmPtv7LNRpVCsgVP5vgGcfxoVsavEKVSorH7IaJSC Oc1JMa5BEunJxIi2jePf1wyYRteR6OOyuS5zgoJeevZ8YRaJTrIdMnooHJ/N hEVxKIkG6Xp3xwkK98uyNzl2JPIaUN06+ouCoMtJNWwNEs21Rs67TVHA12Y1 +4pNoNvvZt/RMxQUJAlHxVUQSPylXbjvX2yjrR239xDIKJFv/1fsdPPTFiuW Eeh/ExPM+Q== "]]}, Annotation[#, "Charting`Private`Tag$2800523#16"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4Vd33APBbhCQiZY6QUkiForISlSFEJJIpNHxfURkicykkL5E5JJIh JFGULZlelHlIkczuPXc4SYZwf7vf+ec+n+c8d5+9195nrXW2Ormbu6ymUCjK qyiUv7+GLlMdNdOW2gel182y2Wzg1BX3+C6mBhUjiiM+y2zYl5GU9kpMD9ZV 9q6bWGSD0ae+0sdiFpBwxmZTziwbrJzn3j8UcwZnuzs8RVQ2DO6+p/tAzBOy aiiTtE42xGeI1mw75wWxxsUdjW1sMBTIP1Sd5g33XXdypLSyoZzRqs6U9gWR vBjY2sCG6BdCO8wUAkF2+cyxqjdsyNxkejdS7A6kRF9c2JLGhlufEuvOVN4B p4DD6x2S2HAmbHi13LkwsNmtcCcxng18s9eCqtLuQsmXF9nTUWy42R1/k5CO ABnVgd/iAWwwixu4YqIQDYtnEw3LzrEhhOfV9gixeDA6LXe7X5ANO0/Ehpd6 xENfhrpDCB8bOsPcp782xsNdviIPaW42yHMoFah4P4K1XDFHDy6tQMNytkp3 ZwK0hi8Z/xxfAb6ZBHXpqGQIj/S8eKFiBZIG/XRfr6TDe83BqWDzFdCRtM4e sswA6ZHwqm9GK0C12b+G50UGSBkJpascW4EthO+FF8qZsOux2quy/Svgfllj G+VbJlRX5XIaSa6AkHPx85wDWRDhVfkyd3QZzlo/KWaR2eBcbdBs/79lYH61 4M0Sz4EHP4oubHRehrt2PC6ndXNgfViQCbJdhlcX3MXL43Mgrf/1AYrJMvBf PRx2a/8zkG7O1d2uugz1oV9suAJyoWb5h4fgzBLsLRTkkuTJB8+jHTmxN5Zg HTvE9sSWYuhV/Rmxx/EPbDNjTH28Xwa5d9bzFqxbAJ/PmpD06y0Mvd+pOmn0 G0TKBIdWrUIwzRaQc30+A+Ujuq1th2ph8dUBH8keFtReeSxhTdRBkJQFtcSK gFmFwwIv3BohOt1XTS9vElYvFGyQ2NYMYhwWBTeYI6DBdig/XdQKwkYvOeve DELrHbXPDTvbQLSX37j0bC9Ix9AW8hjtkH37BqV+4RPQ5r4P9ah2Qv/Q2sle 6w+QTa1q5o/uAko/70Iv51Pg8d60avJPF2QflukNqQwBfqlc5thYNxw53KXF E5qPoi6/ds2U7wULXaZ0h1cN+n2kYOxSUB+w3FCnoV0z8txbV7b5Yz8cl2i3 HwvoQN+L6u53bB0AKRoH23KgB/250p2q6PcVZATej2Z8/YLObdaqTB//CiOn d4+m8XxFu3S4V1yrvoGO4qOCK/aD6ETW1osvRYbg6MVD5Y9vDSMfKXvZH7bf 4WIaCtQSHEFKhOW6PuNhYDyoeusbOYqC61nnL34dhn8fKqgcaxpDGwVYPHWL w/Au2vlpIf844kSpxXJpP4BiNR0e6zqB/qdW9WWt0QgoiG6ojGqaRAUGTpnV v3FcBSsidwhNo33/f41Ck5e3//XgaTRLE98wkTAKWYL3xk9rUNHr0yc44vXG QC37gIrEBRoK0g/LKJsYg3Jj4NjuRqDp+c68oJ3joFdJ+fKol0BbBw37n4aN Q3jEAzcLZzrS2n8nXmzvBAgLWQvpOzKQ7Za2hVVdEzDxodHqP20munbZSuTo wASExB2JFNFnotnmByMeIZNQztty1UKAhZI47TzN5adA2t5UfNydhQ+W7H1H sym43Zr23CGchTYOvc5aXTcFKk2jmnkNLLQmIMRC89o0MA5dltCSIFEZSSyg G9OwYfFqm6MkiZxdz2Yc956G3LMD1HApEtWZ7qaevjUNZaPDZ3qkSXRHdjDo atg0yJfGLbnKkygl+e81DYHf/62/pEyi1RtZq/hrp6FJwGCSA0hEybMrHhGi Qitq1TFwIFED0Xc1YxMVAod7f553JFGUqpmKrSgVeGRvDVxzIpHIG90XPVJU 2Pb5k1GiM4lUGncUNO2gwikj8fz+SySyHf/5rEibCj+5pJhq10j0duu9dL8r VEip0T52KoREgS4Uu/1uVEhY0/XDMJREenm+Ur/cqTD3KDZH7zaJ2lX/SXPz ooKM4tVM9TASTYFZikMwFSoWUy3WR5Bos51EwvEEKmjLfzoYF4PXO1WiWfCW CseFdz3Ym0ai6ynFD4RqqeBWpUeZTSdRxVLKvdo6KnRsMLJvyyDRkt3dkOuN VMjnsv/6PJNE9+TOe3W2UmHE68gO6ywSpRXynn/YR4U+y+ccxTkkqq92URKi U6F3vHXf7kISiY5KtAiK0uCIvf0X/zckOn+Mu/6DOA34M7Yla74lUVbuz+pr UjTw1gp3mMVW+ue/0g5ZGgxLKXJcqSKRzqx3SqwyDc5b1YaeqCbRFe7Oy4K6 NKgtuVzd+ZFE73eF8whepUENZ5Kv/GcSaXSLfHroQYPgm/Uq5dgl/rmxwjdo wM1D/Drehp/3qUFc9CYN8lnbX7q0kyjcfY2ydCh+np1yd2InicxfhZopJ9Dg uujnzZ97SdRyTmhzcRINjLzMg0714fhzZg2optJAQE+f6MDeb/nhglomDdpX 7W/v6CeR5Bzb62A+DdK3JT2vHyBR/smzU37lNDAzrY7mHSTRpFZAikE1DZSq 9Qf8h0jkMMpn31JDg50TlnJM7IH7aXLGH2mgojDq5PCdRK3fqgpPNdEgfKr5 AwyTqDRwsdqqkwatEg/GyB8k8q/1GXWZoMGhVTsmZMdJNHuF+/nkFA24fpfJ 38G+ujHxn8s0GhyNUzYcw3Z0Lp/9h0UDfc73x55MkOg41yy35yINeJ9M/Fg/ RSJBw+tKofwEUJ/bvSuhkijzg8A6LUECNtQdD+eikUhV88U0uRHff7J21gbb ZMfUM0cxAhYHdhWwsSO57LbqyBPAYX/X/gCdRGKBf9jzCgQECa9w38Z+Pps0 VKJIwMPwTcdasRvHulJldhMgfrLR24ZBIs6PBpspWgREnKRHujBJFKc1+avi EAF+1/YUZGPLlt7pcgcCWDKrTo9gH3mCYr7rEeC23nOvNYtEbaLn3RNPEOBt 9Mz1IbZdzKKxqSEBvSshEs3YAUHq65ApAcI7FSnqJIn45jqnvc0JCL/orHQJ O+2qR5OKJQE1UTs6k7ErzxeEpdsQEOW4EjqP/fvgVkqgCwFaw/3Hnv4kUdir 6iH1S3h8Mw/eZmzhXbbv6VcIkEm4p8nE3iee6Hfeg4ALTufb1GZIVBurZr3p BgF8pvJ7LbHN13bu/+RFQP/bW3M3sD3m+WYP3SIgn/HmSSE22z2/61cAAd0b QkIbsKMnT5QWBhNwTSf9/RC2lP14jPNtvB8Gs6dmsQt7Q90l7xJQ9MNFi/cX iQ6ayJh0hxNw9HGzjxR2c/17paj7BPAOznPtxrY5fG6dXjQBlVU149rY02Xz 039i8P4sEYLG2ANmNeklcQQYL9b4WWPzZO/L/V8CXv+/oQbO2IkSHWFyyQR4 rnc95YatEHfV+WsqAV0yWame2K95+XTj0vF5+DC+ww9bLzRvq9ETvD7JgdkA 7K6F4xSObAJOhclSgrGdro0NVT4jYNrG9thfk1Mh76/n4fM3t+VjIHawg3Ta zkICWhP/eN/C3tD/zm+kCMfTMMDOGzvD1MY65SUBb7p2+Lj/+ptv5/abl+Hx H/tXu2JXaz/azFtBwKFU1h5bbOPyvbMf3hKQqfH7syn2N+X2Lt93BHxSn3+o 83c8mmAAByIg8vDr1L1/55d3WuHBBwL0EhCH7N/1XnzUtrmOACExepPA3/jJ 993MbCBA8iT/9J+/+zEiKrvzPwJMTzEcJ/7ub6ZNy6sWAr58Nt/Thv1bYkiq sR3/XyS7ORW78ot046ku/DxVSkwQdkCio8dADwFeh1CWIzbnxvFa+gABaiuc uTLYje0K//gMEvBRrTVuGZ+3yOhLm1YNEzCi5lPXjy3IS1wUHsfrUSqfjMDu blQWTJ8k4LKqdY89dlKYe+V2KgHlk8tL+7C3rJrhO8gkYFBPjtWLz/tItVp5 HYnPW15geQ52jr+3vckvArT5YwuvYyvNL7x0XCAgb1pPihub+frgOdofAjpq Ix5+xu9b6Y0ATq8VAhKVWpXisTWZFKtwDjpoxB6pF8M+PsG9VLSeDmV/KPv5 8fu8Ntsg58AGOpSoBIY14HzQ6njfpFaIDivsLSP+2KcH+Z/0iNBh7HHD21Gc Pxy6Nx1f2kqHGY3iqGSCRPIPrZhh8nQwfnT7tw72pGlyksB2OjRkxFhO4fx0 tUWSJqtEhy2v9k2oYN+qlYsx0KADl1PqTNY0ibSDXTS7DtChs+96nhb2au3c EduDdAj8pqPZjvNj+Nud6h5H6OBw+UL/r0kSJZTsGUgwpIOfVvILOZxPe1TD o0Us6BDyNEr18BiuP+kgP2ZHhyJRfkvhERLN+M1wOzri+TO7CyJx/tawyqUN XqBD9UDB6xWc36sEBF71XaJDPL9o53ec/xuCh3RartPhudBERRiuH1+dAuxL 79Ihz0bR2hbXmy2wR3d3BB14IyZ7C3A9cpAYVyi8T4c6mj+ax/VrouskIyeG DuLr/7yL7CERS08yIDmFDvWznP3RuN5xba9KCS6iw7hjQINQK4kMONwDl0vo 8PCDmZtGC+5nvss6+b2iw9nY+9usmvF5SopU9HxDhyR+ouTfJlzv1tq8uVhL hzPHDwR8qyPRXtp8j0kvHWpUPMeH3pHIq7HwbUs/HdRsKnzacT1/89Thsf5X OhzMO5dfXUmiw7ZNzkeH6VBq5tseg/sD/U+JM+pUvJ5ce411ZTg/78kMGVig Q9CV1xUuuJ84X6whKLVCB/9qStapfBKV28zzt1MYIEsnBYjnJOLnquS7zcGA 6/5r+0NzSVRje5hnmocBWoanj2Rl4/rBq8cu28gA5123xp/hfmfC2Yx+UhF7 4/i2yli8/xs20ti7GODfwn+QE/dLiVXdU6UqDJh/uvuFfjSen9DZMVE1Bhxt dbaticT1Hdl9HdNmgMdFzcpLuB+7Kv7Pf/4WDKgJcr0ReQPvX71y424rBty0 6b/ugfs76WvMuhFrBoTPjTubuuP+rfF6jb49A+SquF7OXcHx8/KtEL7CAHla XzED95NzbXdzCoMYILr0NMvahESnbuk/tQ9lgMmxhyQywvVUgfeJUBgDFG6P r5MyIJFQHn9IwV0GRDT2moWdwPk94EHazUg8362zZKUuid7tjI/Te8SA5ML5 c8EHcD4NexLyLZ8B6mcWW1bLkGi9D7eh4wsGuO5+zPsb988pl9yEJooZ4KBQ oTwkRqJXRppPmWUMKB+MUojaiOMn2FG3GjGgt/NlgBUX7ic59j+49wHH465p BHU1rl+/0iz56higKpYHHmwWEu2/NLHpPwa8TO61NJ9nIaN0Co9iFwM4TxaR rtMs1P+va/uLHgYE9d3YGzbOQs4hrUl7+xlwJrSLM+4HCwU6JykeGmRAvqGn 560vLFSyU9XIdJIBImOUUo8mFtpcYR/t9YcBZ4PWO53LYqEBE9OXQ9ji23hv hj5hoafP688sLjOAPyh5s+JjFlJN2SUdRGGCyMLjkoFEFjIImCsOX8OEIt7p prEoFvLX/bcjVYAJ8Q2bcty8WGit+myyjBATNkf08qvh75MEhXNOOcJMGPFx +tVxiYWK126fKRJjAkvu8r7751hopK1auFaOCZLmEdtztVnI/YP84HEFJjSv of8e1GChpdLInJYdTKAlinR3qrDQpoQzGj3K+P4G3U8/pFgo6967FWtVJrzh +ZzCFGYhFV/ZxqG9TKh6Yh6RtY6F9G0ZVlP7mSCo0nrsGZOJuo0tZNy0mPBx vjLOc4CJHKFyijzEhMS1p9X31DERQ1XmpTcwQdnyl9ubQibyk73r+0eHCcSW TzODcUzELUzoBOsxYSbF9eNlXyaKX2POu+YEE27Yvzuy8TwTycxVdEYYMGEo etjJF3/PvZiSSuU/yQSDCD67TVJMFP44zGHIhAlsSbFL0TMM5GxO31Zkhucz rCvV+5GBjnBb0gIsmPDMRLcqOZKBJN+9KzG2YsLNR3e0y4CB5j3kvaVsmCBj e6i8pZyOfC7re7hgf1PaceFnLB39H+gBWE4= "]]}, Annotation[#, "Charting`Private`Tag$2800523#17"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4VV0XAHClQslUZjIklZAMKcp6i1dSKRqMmTKlZCjJPLyRBpFkDolk FlKG7EhUNBoSoczuPfeee0+pjPfbfeef+/ye+zz77L323muto+DsbeG6lIuL S38JF9ffX1PXyY/Pp44bUOtWTXM4HFhmKOUzJKkNZsYr+S8scEArOzWzStII vCbKqnpmOXDg7efKu5LHgCkfUuM+zQFLl9/PEiVdwCjz9b2nUxxoMZR68iLT DX51cR+7N84BjfW7K37KnYYb2SPZl0Y4wDsclXtC+Rzs+Gi5+sdXDgxsvWIY J3kBuBE7Vvw9B5KyJZ5vsPUHzxP5R/zbOWAqWLSrMfMi5Esefd3UxoEaZocO KRcIp/zCB5Sfc+Bmqcgmc+Uw6NqVza9YwYEc0cMx1yQvw7IrZyW/3+BA8NuU lhN1l2Gkbsse1VgOnIj+tnS9bTRkulX4uf3HAf5p3/D6zBjYKFgn9DCQA5e6 ki4Rcldhj5zJWidXDpjf7vM0U74JL0+5NT3ayQHVA+sLpdpuAp+nlhdbC6+H ++zEuHs8jN7ReySvzgGH2sVH6FgCCPNfUTVT5IDo5gR1q+RbMPSmVGmcjwOR vFUbr0omQXasiN3ankVQ2XcrttInCVacG61//m4RPkV7T/W3JcEbVasam7ZF UOJWLVa/eAd8X8Nzy6eL0LqQp971KRloeaUSl9IWgf9Hso7cjTS4YPxK2tlq EVIHggwfL2ZBZ7LMXo/XC7BHxjpv8Hg2uJXJBTHQAtBsdJfzlmbD9+LEPuea BVhHBJ4qVcuBPcsC/NbdXwDv09s3cH3NgbxeieT+4AUQcSl/mL8jF2jSoQNR KgtgZX2vnMXOg59m/63TCZ0Hsv/YylypfCDub2sv85uHGHte16OG+fDFR8tN 1mMeqk55S9UkYV8Qb/xiMQ8C53ZHB+s+AFnj35YfN87Dy6gvNitCC2DdGJ/b +/dzoFkivEKGtwhEjxhX3pOYg1WcSLt968ohhd/wwMXEGdhgzpx8cb0anP1v tifa/YKAdzsh9WctSNa++/jwLQXi1cKDS5YgsAgKO9KsR0LNsGHH+13NYPlu 7EtS3yQ0e96VtiZaQDAqz3Wf3ghMK+8WLPVqg1vcFPdqsQFYOlMsJL3hDYTw fV1RIdAF2zmONUfLOuBDxpTtdsXX0HFZ+12rynt4pX3g0RfmE5BLoM8UMj9A xPQXfdQcjOi/hwa7NT7BkerBdcX2T1Aerf6NwM1OkGK+iDCxakW8F0WXTMx1 gpGRhsQr99dIQLaAHB3tgiAvP/6isffoxunHbjlKPbAj4o61r0AX+vVP8ahH +Gf4ri4QoKfRiy5otlSLveiFkeIDIXav+tFQWcv1jwp9ECn7yHHcawjNeXZl bA7qB5kfMwLSrt+RrZheXdZYP6xu2+ROH/mOtuzhWXSr/wrV3fRhnW/DaF+u gvsj8UHw8AnszXUdRQGyDorf7YZAaXlf5FjjGFIljq/6fOgbJEld/Vm+ZAJF vGSddO//BgLKs7dE10yiNYIs3pbZb+B86PCqgsOTaBnKKF+f+R32ufRckAqc Qme067/wHRiGswft58dKaKh4v3NO469hWPtD0YHrLR1p/f8ZgcF15mZf1Qg0 TZcSGk8eAaGq2sWUtwR6fHQfd5LRKEgd+vid0cNA4SbR2dXjo9A3p+aS0cxE U38+FYarjAFdU51uJU8ihQHT3vvRY6BCMUwcskikp3s5SVJzHDbFfRZb/g8L 2a17P7OkcxxcjNd+k7/PQr6nLcX39o1Dpp7e7UMFLDT9Jm7YJ3ICBIMOkvE8 bJS6zP6ChdIkMAt/DbnasxFMKV53Mp+EFIWMy+cvsNGawce5S1smIShuioor YaPloZHHdvpOQdkXk8edf9iomk3MoPNTQF5aEjc4w0YublbZxhenYJ1KX//k LBu1HN5KOxo8BSKOMwNz82x0WXEg/Fz0FAhKgpf0Egqlp/19puBBaYLfLj4K LV3DWiLQPAWt6k6N8pIU4iq0Lx8WocEHKDqvokuhVuLzuWxRGoi/EzBV2kGh Gxrm6nYSNDAoFjsju5NC4k8NS7tlabAp1Pf6an0KqbdtKn61iQa3bAZ2jhlQ yG6MelBmQIN3jvwsX2MK1SpcyQrypIFLa+CThWMUCnPlstf1okGiaLHAt+MU MioMlP3pTYPuGe/cphMU+qBxNtPLnwYjIq9Do6woNAnm6Y4ReH5Dir9mbSkk Zi+dbJyM338qJqzVmUKXJyt2FtfSQE9VXMXYi0J+6eVxIs00UOL7dqTFm0JP 5tOvNLfQgLibmHLVh0Lz9jGRfm00aFjbLmzmS6Er60/6f+qgwfDq3KwuPwpl lqw8mfiZBh2D11b2+lPoZaOrqgiDBs36T0ufBFNIYkS6XViCDvHBebw9MRQ6 +S/PyyYpOnisOn4/4gqFcguoRl9ZOui5JNqrxFJI9ezryo+KdNAcENMOvkqh PdMX02+p0eFERKuJyA0KefJ8Oi1sSAcDXetI0VsUerYlllf4HB3k383pnUmn 0PYu8beJPnTIiVyUILErQgpurT1Phxubc+T9MvD73rZKSVyiQ8TjLUX+mRSK 9V6uJhdFh4Qq6SS/LApZVEWZqyXTYal9q5phLoXabUXEylPpsMtI+0QtttGy 3D6NDDpsKgy4q36fQrrHm05p59CBJlQQLZZHIZnfHH/9IjrMv4582J9PoaKD VpNBNXTQWmmaTyug0IReaPr+RjqYzcjd1iukkOMIv0P7czqUmWib52L3Xc9c f+gFHaKeblfkK6JQx9f6kiOv6PBC+/tMJ3Zl2Gyj5Sc6XDodddq+hEIhzQEj ruN0GNv2z+1/yyk07cnzcGKSDuncG+WysM+tSTl7mk6HrOcdFdPYTi4102dZ dOB6+fn7vQoKGa+Y5rkwSwcL1y3OzEcUEjb1U40SIMCh95GQZTWFcpoEV+kJ E7DSeygzH1tjZ+kUew0BW+tD2RS22abJB06SBKjNiZJXH1Po2gp7hT1KBBhf 85EorKGQZNgc548yAb2ZZAsD++F06mDFZgLKhiu3bntCobbRzgz5rQSYcpBe NfayF/vFuPQIcJcPWFL8lEK39SZ+PtlFQNGukqAxbMXKy53eQECP+bGCdbUU +uceShgyIkC+xVE0Djs0XGcVOkxA1mykjE0dhfh/f5q6aEGAtm8g3zXszHM+ r9SPE7BXyyHrKXbdyeLoLBsCssNna4XrKfRLX4ErzJWAluMjcVXY0VWNgzoe BIie6Y7vxV67xe4Zw5MAHw0vtXlsLamUoJM+BBic3qIDDRRqvqVtLXqegDoV iUx7bAu+T7pv/QlQUdJNDcH2+cM/vSuYgF9r/fZXY3O8izp/hhIQdHjH3Fvs mxP7KksiCOjTjNYfx5Z1GEtw+Y8A61d5vAvYJT1R3jIxBIg4DzmKPKOQvpm8 WVcsjmd84F5l7Dcvn6neuE4AJVJdvAPbZrftKqObBMh0tafvx56q/jM1l0CA UM/MamvsPvPnWRW3CQj30/7hhs2bp1VwJpkAiTGPwPPYKdIfo9enEeAoxHsu DFv59jmX/gwC6NmBQ1ewH6/kN7ydhePrMtwej20UVahw4B4BMQvO25KxO2eM ubjzCHj/TlwgA9vZd3Sw7gEB+iwJxyxs9mTkM79CAvIUgjbkYEc4ymWqlBDQ 0GBq99dCvQ1Bw2UEcB7cWZqNnX3Yxjr9EQGhhk5imc/+5tPfuhbVBJi5lN9J wW40uCO28gkBX/VDw25hH6rRnG6qJYB56MW7q9hf1T50BjYQ4OXofzni73h0 4VBuREAOu/jUxb/zKzyqHNdEQEdXzBfPv+t1v/NerIWA8YXDoyf/xk/p86Wc VgI0Ug9FHcYuGZZQVHlNwK3ZpkeA7ZNj017VTkB1Bt1HHfuX9KBs2wcC9rUb pfBg132RazvSiff70sAsG+9naIqTT183Hj92YbwPe9masWZGHwEh0oHmD7Hb PiifDRgg4G2bTMcN7Gs3PUSXfMPxF+pt88YWXkm4rx0joCTxl9427K42NeGs CQKcj4eXCWKnRnvXbaQRkFLimUHg87puyQ9+fZIAzeioL/ewhxu1a1rYBHza VKEchJ0fctHB7Cc+nzF7x45gq/6ZeeQ0QwAr8FTZDL4v5GN9W/ocjtdwR3U7 duX50GX+i/i8xB1RysTeSXJZxnIzoMZsw/Yd2MbjPPNlqxnw08R60g7fT768 /fk7hBigdIB/TgG7w+m6WbMIA9z0zFz/3u+jAwL3usUZoF9nruuO7dglajyv gP//3Bt/AucHpURLMlqJARdDimUFsCcOp6UKbmSAR6UU6wXOL+faZeiKqgyQ sRy2UsEObl6fsH87A5Y56f74jvOVQYTrzs4dDHAM1HO4jr3UoGDYTp8Bzg6W c5rYsbUqOj7/MCDVVKY2pIpCyRXb+pJNGcCfQC7M4PzYrRF7U/wYAxJnJDRd cf6syAKlUXsGLO4eUU0ro9CPoB88Tk4MGLQOTVPG3m5ZQB84xQA7qVzpylIK 1QsKVn32YMCx/VePvcD5uzVicE+7HwOaPMf3vsP5vd851KEyhgFk6bV//3uA 9wu2GW69ygC/Jx4JLFxPHKXHlEuuMyD9Um2DLfZ450FmfgIDnhy2Kt6C6w/L SCY0LZ0BxrcrAh/do9CKjfXpEWXYb86HmeN6t5/bO2yhggFvWi9KZeB6eGNI 0TmoigF7XA2th3G9FE69tvnCUwa0qHWVnk7D9YzP5ql7MwNimikd22QKadL/ dJv14PUGPi18GU8h/7aS2vZeBjxnV+6fuEmhp/cd75r0MyDr1x9Ygb3b7pXL 3m8MoN2bk9yF67fJ25QfOjQGNMg3TMXges+/LSeyb4YB99/rXtoXhfuD8u3C sosM4LmaPno7gkI1Nn8EPnAxYdkY90nfcAoJrKjj/4+bCc/rA/ceCKPQc7vd vFO8TNh1UUHzJ+43FFcacarXMGFFYlixZACOj4s54+BmJhjoUc+KzuL9F1pD 52xhwhG5oDLTMzi/1XdNVqozQTtgh8/4aTw/EatRCW0msMI26Am74/qN7PtH DZhwmjslW9MJny+ps69DjjEhZSKsPA33Z60v1dq2WjKhIDGUxbKgkJwv2TJs zYRLKz9rGprj/qzN77mJAxNUk7TDeg/h+PkHPlnryQT91IfeLbjf+/0+Jr8k nAk3X2xITMT95JFgk/sOUUz4wcpYuKWD66Xyynsi0Uw4dPq86XUtCokUCkQW xzDBZRtvt4Umzu+hcZmXrjFB8bjWtjNbKdSgknTb6A4TPK/kVQ0o43wafS/y axET1G8qZwWspdDqAB5Tp1ImBP9+fl1LBPe7Hl4i4+VM+GogXDcpSKGqAzvv k9VMaDzCOGewCsdP+GPLUsSE9J/HVZNwf3wgi4t3cycTdhSVjb8l2Kg33u1D aTcTrkdL9QjScL8d2ZGq2csEX0PhRZMJNgpzSd28a4AJNndjzXO+s1GFisaB wxNM0GnS1hjsZqM+s8OPBueYcNA08dtAPRvdf/jyxOwCEyw6yXa+WjbSSN8i F85FQo6fZGzmYzbaH/q7PHY5CZzIviuZZWwUYhj/MUOQBBV9JfnFbDbi05lO kxchoSHWMU0rk42SlW2d89eS4N791tkmlY3K+Tb+KJMkwf6fmBNBCWw0/L5x bfN6EoQaA17/Dmcj7yalAWNlEjINK8eLg9lovvJafvsmEj6wxcsPBbCRaPKJ 7d1qJMyLfJ2xPMdGJnZMy0ldEri8NZ7627JR16Fj8l74O7ilaHlG9Ak2coK6 SfYuEiImTlaEmrNRkGJM4NweEpb1tA4r7mOj0knZDIGDJECfpMCGbWwUezfa cdCMBKbS9p/FKjieFowNZeYkOG/WHOFTYiOZhoaKQ5Yk1LnMqu8VY6M/PkoX ZW1ImDjFqBYXZCNTj34iBNsvr75EVoCNOjfc0GfYkRClohZbh7+vrsXbtt5w JmHM1SLe9g8LuRm9uG7nSoLpSEO+BYuF9s6omKt6kDC09UEl7yQLzTjP9rd7 kSBT0OiW1cNCHtvT2CsD8ft7LWWaylnIiM71pC8Yx6P/X5el+Swkl+MRUhRG ghhHiHqRxkKzxz7sCYokgZVp9e5XHAv18O3gMb2M969LpjM2koUqG7M7JK+Q kLTzeO6pCyx08zxP4tRVEjTDmhXOuLHQvwM9Mlfj8X7ZHZ85tY+F5BMNhq0S 8fyVNlIjOiw0b/ygYNMdEs7GXxvLVGSh3rnVXn9S8Hhxb/IW+VmousJf81U6 Cad4EqbUJ0mU4DrwO+UuCU0bFKyVS0h0RurfZ+45JFiq07bdsSOR8fuSKN37 JAxr2cHOx0z0P8hOvRM= "]]}, Annotation[#, "Charting`Private`Tag$2800523#18"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k0Vd8XAHBJUUTGIkOGKIRUpGRXJFRkKJE5IomiVDIWUiGVTPWlhFRC SIZyIlNpMkumzN67b7zm5P1Ov/vPW5+1zrrvnH3O2XtfeTc/Kw9uLi4uxyVc XP9+zTzGmz9MHDVQkOWf4nA4wGModa5fchvceCgjcfovB7ZmpDwqljQCWqRW 74t5Dhz82ln0n6QNbNC38iib5IBSrEw2R84Ogo/qbo5kcWDB7GSyq7ITXCcb czfSOWDrPvP+nqQ7lKXKtf8Z5UCtodTbj49OQQbtxwPVIQ5oKe4unJQ7DR26 y1W1+znAN3gt85iyL9ATYa6pgwO9mjcM4yQvgPpi+DO1Wg4kZqz9sOHERXBV nzungDhgJvRCv+pRIHR0hV5nl3OglP5lO0PuCrTf92+VLeBA/CuRjZbKoVAU 3HPzRTIH9stkZU14hsECm7p49i4HQuvTVlfbhIN1auhl/tsc2KajHmeXFAF+ HhxKWwgHHotbRN+SjASTs9mK2a4cuPo1ufZYRSR43crl17fnwLGoAW7FE1Fw 1HnP9CsrDghMnQ+rfBQN386KeigacuByW+JlQu4muNlSfx1X4IDl/W5vc+V4 UJMqaBDpXgT1g4rPpRriQThHp9fnxyLwLfUZG/W8AxWxOTlZ9YvgXL74Gtkk wHW7Y3L5RYsgvilB43jSXRC0DrbTuLkIEXzFKjclE2GLak2PqNYiqB64G1N0 LhE0DQ5qeSguQkuU38SvhkTo3ClkdU9iEZSWqr/UCHwAPFLqehELf6H+b5ZG W0sSdGt9OFxR/xcEyKTtcrGpEMKsivlt8xdSeoMM3yymg9tw9HkX+wXYK22X 1Xc0A+4tXRP3zXQBKPa6y/heZQCaGDRR1FsAWeLKyVebH0P2zobV19YsgN9p nQ1cPY+BVdzBlm39AyLuBbnZOzLBxfBdgrLxHzhu96SAycoCLtaSSEJmHhi/ bFZmSmWDe474BUWBeYh24vOwNswGZz1BGfP5OSg+6SdVmpgNy5iBRWEdcyDo uzvqqm4ONAQ2RJ+In4O6az/tl4c8g4/2mve2LMyCdp7wcmm+FyDlO02ub5kB fk6EwwHZAtjNqzY9GjAFGyzp4x9vl0Ay94yHPZsJl77pQcpkOdAer2bo6k+A oMabkU98FTA/XbP7vuwEZMVpxf6RroA/G69ncy+ZgOZDKj+d9ldA4Cfjcpn6 cVBrEgvYkFQBaJ10sZHlOPQ3MHKKdCsh8/ABdeszY3CgOlvwa9A70L8QFnwk fwTWlAj3LVmCwDpKYf0m30FwiP1jMyyBYLZ9+Lyp9SBkuo801asjMMlUVAzb MQjq4uXlt48jMP/d4qW6dBD2Bbo8EC9EoH14qCc09TfoPLLNSdT8AA0BW7lE Pg+Aq1OOY27fB/hYPlQ2fKEPSgcNv3zXr4HxJH7dpc+7oMMkghV3oAZWxpY9 rg3pgun8KolDVjVQduKKyzOrLtC9qufa6FkDxQSv+4+FTigT1Zz+cK8GbnEL r3xl1QnlRlLri8ZrQL6j4fRFng54l8MMSEz8CPa9Uc2nw1qhxvu/dXZELaSs 2r7iacpXKJ44c8ZpuhYUTir5VR/9ClleOytPctVBONcCS0D0K0Sd6rT3FauD 9Mqt6arxX8DETTjtun4d8Hmtbrga3QTf7aLW5sfWgdviQphF2CfoMTkrvnRz PQxfD+V+kFAHU8q7hV6dbYDgTsWzTy3fAffcy9XrNnwGrg8nWPMxxkiH41Jq nf8FerZdvhO88S36ErntW73qd9gxorfSLroOySVQ557Tf4DE5X1LwlW+I+pM f1+7VgtQagWDmjJbURal8rNgfCuIKUhaK+R2Ir5A8SVjf1ohY3fjG/uWLiQo 84wxPNwGzPQdWybMfqHY029OPVbqgLRz8+fhQh+a3vNy2CusEwa5ROK0OwbQ Be3aEomPXTD584Tu0b2DqD+/9nazfDd0O+ZqZJcOoT/ebQ83Bf2CRwZbsw+J jqATEjsr0kd+wXGR/Yccro4gtb28i6cqe6DqbW6Tm9koOpAp7/l6TR90m135 XRY3hi7JOCv8duiHsprD5akF40idOMrfeXgA1ofeIC2rJ1B4HdPR89cAkDYK e5xeUpCoEJOvdn4AZCdI8R39FMSDHhYoPvoNenV5D2QGqOjMtsqfKw4OQqyd k6M0QaCXpm6Pq6YHgbvfsG9gnIa2/v8ZgrcfFHvOGNDRFFVq9WjSEOhZSsqG NtHRG+sDSxONhsEpq1hQ/y0DhZlEZZSMDkOwYYv5byMmmphteR6mOgLX+4Ua mL5MJN9r1vU0agSoMpVpwc+YaKduZKKk9ih03E3M2rSKhRxkv88taR0FhaO+ i59PsdD507Zr9nWPQoSSi2eiNwtNfY4bPBcxBq+Cui1GqlkohcfpgpXSOJCr hW52r2YjmFC47Yrvqbf+xStMJTYS7XuTyV07Dk5OriErjrPRspAIG73zE1Bm fevl3f/YqIRFzKGACRC5OTUbmc5G7qeOZxgHTsAz5ZhPlzLYqNZCk2J9dQLW 5OqQJ56wUaRCb5hv1AR8DNJyk81mo7TUf88EHDhgVH8jj424RZlLBGsmgN8x u5Onko24njsVDIpQ4Kgkf6VHBxvVE52+GeIUMD/FddK0k41itSw1HNZS8Hp8 3dW72GhNmeGrdhkKSHVs9Gf+ZCONho0vGzdSQCtMOf9cLxs5jLBz8g0o8NNR zcJymI3K5W+kB3lTgPOixjKBxUahHlxOumcpoMIOcnZis5HR8ysyk34U0Fa0 Klcj2eiHls+jsxcpIOMRZ1E7yUbjYJnmEk6BU+qec8QMG0k4rUsyTqIA3/FN 3esW8XrHC/VeluP/e80QzuUlkX9aQZxIDQXadtV6EytI9HYh7UZNLQWuqUe9 z1hJogWn6Aj/BgqMp9RaW/GT6Iai48WWLxSQcCwzeSNAokd5Kx3vdVLA31jO 2F+IRHVVHuoiNAo8GJqRbBQj0dqhdU3Ca6nQ2xhm2y9LIsf9vHXVUlQoqQLh IDkSZT5jV52XoQLPn98LoutJpO7zqahZgQomhu6e++VJtHcqMO3uZipMrjxy OV2RRN68LaeFDakwPWy9uHEjid6rxfAJ+1Lh+H5lwYdaJNJpW/P13jkqNM79 3imyhUSFwc/uigVQIW3f9JMY7Myv9VJrL1Nhx/hX6QBtEsX4Ldssd40KK+Xv lBhsI5FV8TXLzUlUGC9SGS7QJVHTCRGJghQqBEtx+UrtIJERT2a31kMq9AW5 bIzE1j1afXLbYyqkjCupH9UjkfQM5+KuF1RIfnjZkbaTRC8OHR8PKqWCv+fX 2AZ9Eo3tDEkzrcLjPSjNU7tJ5DIk4Nz0gQqXV3WJWRuQqPv2I8XDH6ngNB4T UoD9pacy70gjFU5EOr33ABIVhc5X2bZQwSXv42DDHhIF11wa8hilgvv91evd DEk05c2bOzZOBe3HzZ6vsX1Fk31OU6lQ9jvoEwfb1b10yodJBUakR2eqEYmM l0/xXpinwrDQed6P+0kkbOavfk2QANltTdwTB0j0uFqIf6cwAQGfWDQNExJp 6b2aYIkSYP5NvDIA23zjeI6rJAE/V1Cn57BvLXeS36tEQGbAmfZZUxJJhv7h zCoTMOSh/nq7GYlyp1L6CjcR8COw3+M8dsNw68P1mgTsDvA9OoLN89FUgmsn AbeHptXQQRLd3zk2+VafgJRXsvlsbIWiyFY/IEBFJIujdIhEe56ghH4jApJ3 tPBHY39f6+iXfIDA53P+Ywm2U8L8YQszAr60hRoPYoeEbedHFgTECUZk6x0m kcBMy0SgFQEDbd5hJ7Ef+Z5r1DhKQONEjGwsdoXjy6h0ewKsA2Sf/cSe3iXP FepBAE/7/nce5iSKKq7q2+5FQNexoLQobDE1h/c0bwL6tq7dmoW9VSo5yPEc AVkhM3G92DV3t9mJBxDAV+hxeBbbakWL7teLBNiUJ1ULW5Do3KzAlP5VAnKu Xa3Zg83xe9E6GYLnh+vJMez4sQNFeeEEECv+RnpjyziPJLhfJ6Dlt/KZEOy8 jmt+0tEE3BIw/BuPvct8vXlbDAHHqN/0MrA/171Xj71NwGydkVw+tv3uE/xG 8Tg+1evyKrEnSmYn/iQQ8KGroa8Bu9vyQ3rhfQKWe0o/b8Hmy9r67EwSARGa zpo92MnrmqMUUwno1FEwG8ZWvu/r/ushAW7tp3mo2G9WChjeTyegKCPVgYlt dO25/MEnOD51wpaT2K1zxlxLswgIXaE5MI3tdn64ryIHu9iMbxabNR7x3v85 Hn+zomEGO9xF7pFqHgGqdT+k/41f3fUuaDCfgNFlPctI7AwLe7u01wTUmqpE 0LE1GmZ0rUoIyB+Yix3HrjJ4ILHyLQEFrskqv7EPl2pPVZfjeGeARRd2z+Yf rVfeEdDxnwb3t3/vowqHLEUEBNnqi3z8N7/n1spx1Xi/2V7dpf/W6/ngu0Qt AcHndtk9/xc/pc7Lj+sJ+NWoG5f2bz8G1yqofiIgfqjvwq1/+/vYvqm4iYDA +HzBK9jT6/pkGn7g8yFeYGWFXfFTruFIKz4PlU1z+tghya7nutsJcDw/fkgZ m0d0pIbWTUDS53bmJD4/DT+UfS71EnB56pJBN/ateC/xJQMEmKm/31KFLbyS 8BQbIeCwcT73Ney2hs3C6WME6Giv7nXFTonyq1Ch4PutHHFsD7bsElJgF4OA 5rE2uTl83gertpXWsnA8aEd8WrGzgwOdzScJSLMVtMzDVp+de+06R8D+O8d6 7LAZb3adoP4h4IiLQ5gGdlFACM/FRXx/r6cWL8HWY3DZxiylwdqYyMan+D4a j/Iu5K+iQdrzunMd+H6vyDLN3rGaBndvmnpnYH9xvW1eI0KD8F2ao6ewrXsF n7SvoUH3RXdHFs4XLm3ixgvyNHgwZycyifON0j1bRpQSDTxM6WOF2GMWqSlC KjToYk1r+mD7NklTFdRpsF5VXKgP56urNYoJpjo0KLlk8C0f5zuDcA+91h00 mFc5suCEzW3wbNBhFw145opur8KOKVfdfm4PDTYbXqrzMCZRUuGW7iQzGvj0 iXlw4/zZrhUTv8aGBj9S/dPv4HxbmA5Kw040MN6avI+yl0RkEMnr6koDf6ED tyOwdWyfUXtP4vXsj1y/BrtSSKi404sGRPVn5d04v9eH9+1t8qeBpo28wwVc D365hTgXRdPg2zJu+ThcX2Rhi6HmTRps7Ff7y4vtsm5EOe82DQq/e/8Jx/Vo tPUQPTuBBhtWxFmdxfWKaSQdkpqG57PJa62mDomWq1SmhefTYDxR28IG10fT pX6hfwtp4KVyqr8A19PYfgW3oGIaxN73dV6BLZxya9OFMhpkNqjLl2rgerfC vsyzhgbCmWdMptVIpE2dbTfvoMHBWQXqKmUSXWzIK2/qogFFXLXWeAOJyp66 /GfyC6/3efuRECUS7XZodN83QINHi74XhhRIZPI1mdxOoYHrEbGz93F/ILDl cUT3HA1OzqdbcUvh/qFAR1hmkQa1Dif1QteSqNR+VvAHFx1GncRGr64hkeDy CoHrS+kQ1PTkRqAEiT447Oab4KNDyHutO264H1FYacQpEaVD3L42Umw1jo+7 Je3QJjoUvYjs7lmO93+1KJWjRgfZfp87OctwfqtsGy/SoMOC7d1aHx48P5Hj w2u30eFdkEU8fQmu78jp17ABHezFLQvqF9jIV8rnU7ANHXaPFKlW4/6tvm5z g6YtHSbHVhSZM9lI7jyjdtCODjvd/BW76Lh/a/D/YOJMh/AWgdQ+KhtpX7zy VsybDtILfollI2w08z06Oy+MDrfIY3uScD955KrJU+drdEi/3DjYg/vPXOWV T0Si6NAsczBXtp2NRJ4LRryMpoPWjb6dIm1sZB8S9+jyLToo9U+73m9mo3eq ifeNHtBhrFlzBD6zUXjUk4ieF3Qwtn2GkirYaNUlXjPXV3SQ0SP9X5bhftjr rMhoAR3cdY79rShlo+KDek8ZJXSoX1tu87mIjUaFm2u5ER0+69Qq575go4Pp XHybWumQ88bzk0UqG3XdOfXjVTsdbMVqDq5Ixv14xJcU7S463Fti4v0uEfe3 7imb9HvpULrYtE4ogY0KVbUOWozh96n0xZ2MZqNuc4vXfX/owPS2SzM4z0ZP c+uOzf+lw1Mc5GlfNtJKU5ML42LAjjWlNtt92Mg0ZKYgZhkDRHoDJlJOsVGw 4Z3mh0IMmI58Tp22Z6PB71ViNYoMUNhwoHlsLxv5VSv1Gisz4Gt8h1SyARst FN3KbtrIAPs7aN+uXWwknnRMp30zA8xvmuu4bmMjEwe67bguA47bHXKXVmaj V+MyDwUPMaCFkLUW4GWjmP+iXPrMGbBHa5WTNzderxVtQ74ltqTEfPFfFpJ+ 967wsC0DxmXVTHknWcjM6xcRbM8AK3ORWwZ0Frp150R9rBsDnJo2/07tZ6FT Rh9vO3gwYNuw1f493Sy0b07VUt2LAWu+T9Ka2lhozm3+V9NZBiz4jlDiP7GQ l04qa+UVBqSlnY3LfM1CRlSut91XGRBL0E5bvWQhucdewS9CGeDMLFfozWKh jhU7eM0iGZDjNz96NZmF9vd2SN+8wwCb68rJmUEstP6eweDxewyYtdk0TPNn oQXjnGcbHzAgnPIwiOsMC5UUXtRuTGNA70GdQB97FuKZevPjyFMGFLMGZvMM WEghUsyEN4cBmbP5P7u3s9DijuBVnbkMOJTrzd+rxkI/aUMtOS8ZIHh/4spl eRZKsC12NH7NgMSS8vQj/CzkI7BOUaKEAdKbTJQCOExkUn1tfKQU75/OU9c5 NhNxVK0Cot4x4HS4aUFnJxN195fvOIoYEG0yIDbZyESlifKLSjUMOMvfXjVT xkT3TG9+nKxlwJM3Qtee4e9V30VmTG0DA15d1RstSGQis+Lj5omfGbB7KtE2 MYyJNnh9EHX/yoAEu+EHtz2ZiEtm48+tPxgw5yz9W/kgE/U030lf2sqAcmVx n80qTFQWPXOytZ0BHuJvVKb6GMjX56LF9w4GcF81//45hoH+B1z8sG0= "]]}, Annotation[#, "Charting`Private`Tag$2800523#19"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8VF8bAHBFkqRkSSIpqWz5IVvlqQgpipQWa6HIWikVoZBEqyQJKYps 2fcja6HsJbJkN3Nnrpkb2TLv6b3/zOf7uXPvOec55zzPuTJnPMwdF3Nxcd1d xMX179fYcaylYvyYbtna5ZMcDgd49CQ8+9aqw8sPrSNKfzmgFh8dm7NWH873 PFcsn+HAkKRs4FU5U/jjXPQra5IDB798z3651gJ6Tpeq8bI4IBsulcSRPgnM evMz5XQOzBuffWYvZwM5wYB+DHOAFtRebR9lD0MhezJO9HHA0uFP2eO1DvDu APvNzk4OVOtJFFTFOsHL5Rnyt5s5oLJpd9ZvaWfgCJ7t3P6JA3wDtxKPy7nD DeWTTiV5HCjub/1SZeEJn0drvr54zwHPIw7GVlFecEtQxGMogQM92+/oRay9 DE8FraSz73IgMl68YvNpb0hZ2bBT248DxitTd5XHXoG2L5feKXpyIJ/ZuIOU vganQmY1rC044Gpjk33H/jrwrPLrj93PgY1fSeUNr29AqXLrmIkGB+6nr95q JncTpL5IVS4T48B+qTdvxs/5g3Y2LWzNEg7crI1Z9dEiAAr63V7FUgugrqEY cTIqEG7N/acm3LQACaKHQ8LWBkFs2c2OX/4LcOPLs+rjxUFQaXj45Q+XBTge 3L940+lgCOpk1B8/tgACk17+JbEhwGfLkB7fugA+7ZE+hPRdmHd+RE+q/wtm T7pcTOXuw2KFQzqWs/OgeHBTikTdfShPeiv0snce+LhdR0fOPYDiGul9YZXz YFu08AFZPIQZMjjz7N15EN32UPlE1CPYUpExYSY8D4F8OVvuro0EIYfjqiIS cyBv+Cg02zMS6iP1jm7+MwutwR7j3XWR8M6KdXm6bRZkuRXfK195Cqe7Vr0j w2eh9u8b5fbWKDCwuzDiOj8DAlTUDunw51CnECc62DYN0T3X9fIW4sDwBu/0 +OUp2Ct58k3vsXh4Isz/kDCdAtopzSV86fHAuXlPYnrrFKwnrp1NV0qAFsPc PSo9k+DhrLGZ62cClA/obTA1mITVDpnvkrQSwSrE2tVZ8jecOPkqc4L1BlTl Xsr59LGA7LbgT5RIAkpt4KAyYkGIDZ/jUb0kGLMJX1gaz4Kcsx4S+ZFJIPuu PmqLLQsE3XcH39BMhgPDM2Yyvyag5taPU7x+byHQ0fepbycJqmlCvJJ8qZBa eDjh5R4CPivX2H1RSYWY4Qnm12UE2H3wKbl5MhVadLYrmrXRISK/z/NXaipY X+jfaHSODmMV6d3JJu/BYbPX7/nHNIjrOPDhvydpMGPCt8RmZgyWcwKtDNdn gkvjutL9XCMQ7Wxpo2iQCeO2H/+sbh8G2XZFOyH3TOCfO7BD7t0w6KZ8P9td lgmeO54bSZkNQ1FKVF6BchYstV4Wr5c8BIyjROnBr1lw1M1ouZT1IBx796zh 0ops8Dy3rOrAbD/EWt865CSTDXvdrz6S+NYPA6vdvpzYkQ0DfPl/ZbP7wcNv X9Nu62wYFHGSGHbph7vmjNal6dmw+MjePMHyPiib39f14lAOcI2JTkwn9sBm M+ZY1b1cmO9X7v5b+AMk/A11zr3KBbdHfP63fX7AqvSEe/wFueBTOH3kstYP mOU7qmw2kAt3RldQT4o6obmi4FKvVh7YnK5Jy674DtdVAhemh/PgRb1+fsav Dvi6UkREeU8BuKhrBE2db4Wq3W6OLccKoFFiYY+BeisUXqjNv3yhAFT+C387 ymmB13U+J0uiCiBxajBZMroFfPx74owYBcCdWKe2q7EZNpLJ287GFILNGe8p n+CvcPWrNkT/LoK/Qjsv1H36BILKecOf+YqhgvlbaPPVT/AmQiV8TrIY9ql/ +8rc/AlaDm35YbO/GPYv85WsCqoDhQaRS5ujimF7oKCzpWEt9NWRydmaJbBD Pq3mal8VGH5MEvxyvRRChgyuXE4rh94NMnkL90shi//ilKxMOVwOiD2t8roU GlH3Ub+oMngFT949aSgF9uZJrw23S2GuLGDfKckycLGQcxNwKIbM4tNXRsvK QP7Co/VOevmwJleod9EiBI1LaGHc/WlgFT5nMSSG4MTEqNHDrveQ6DDcUKuI IFR0SNfsWyooihYV3TuB4LyLeotjyzvYd8XuqWgWAjvLNa2RHW9AI9YyOXJ7 BfS/5mQyt8SAvU2y9bveCggoVw374OKC8gf0Gpt2VcKY4VGrYMc09M0okBVh WAkOm055Z8mno6mMcrFD5pVQ+ILHZwuZjjRvaNt/OlcJ4bd3+Sx4Z6JC4e1T FY8roZO+Srt49wdUpC+xIXusEozW7Mw/qJaLSpMnLkVGVoFvF+8GaqAIVbq8 XHeSqAaDq8J5D7UqUc74hQs2U9XQY3k1T8SmEr05r1NylqsG/nZ2JfjfrkTB Tt9PuYvUQELglW/8XyuR0RmhmNu7aqBZeuXfWfsq1HQyWDwjvAZmHxzVOxtc jX4auYlyK9WCX2d/hElJLZqU270y3a0ObNdqfQuh1aPFM+9XrdtcDyEzkEPd b0EaHLv8oxmNEGS3XFZrrh01Bql/rZVvgpgl/WahKzuR9EP6TAqzGTILs3dv UuhG9D99vR0qrdAY26I7NNyD3tBK6gXvt4FsoB4qOdWP+K6ILhqdawPln1L7 e2v7kaDUW3JoqB2e/FzSsjPtFwp3znNKkP0G/3WE/pDvHkBTe94Pnff/Dqjr l8gj8SF0WbU6V6yqE1alLXO5pTmM+jKq77XIdMEq2oqPexxH0JxL+4tt17vB TK3enQgaRafFdIrjhrthSK6/1OjnKFLYu3TBqeQntInqvxANG0OGiTLnPqzp hZ4TZX8KXo6jq1K2G39Z9cFi38pIjWgaUiSOLf9u0g+Ljh5P9blDRwE1E9bn uvtBIeSCuNpxAgmvnOCrxnlG+OvYLc5tAvGgF5mbYn9B4OQ2U15nBrqgXvJj 2cEBMG/pSqCdZKL3B84klE8NQK7GNY1WXRKp/f8ahFaVbRm14SSapEusGoka hD33npSk8k6gvKOG3JH6Q9CgoJqbfnEC+RsFx+eODMHDHTqtL9om0Ph0a4q/ /DBokLZG/rMTSKbHuPN18DD4Glh41SmzkI5mUORa1RFYEB6/vyGChazWN80s ahsBxar1QxH9LOTlbLlmX9cIaITy3hQbYqHJ+ogBz8BRYN6ZXfJoBxtF89hc Npcdg4u/a7c6+LMRjG+8Z282BjaqrstUH7ORcG9e4uLqMViSwrrKV8lGS/wC LbS9xsFKK/aEAjeFclnEDLo0Dh+F+/av5KGQg9OJeIMr43D89UgZG7v68Hba 0RvjoCF5wqSQl0JBG3v83YPHodR1/+BufgrFPP93jYNO/k7YLkShxcITiwQr x+GHYbjRx/UU4kqxyRxYTYPjDxQ/nNWiUC3x3T1elAYGxj9qtLQpFK5ipmwl TgNFXrXdK3QotKZQL71DigZ0f2fz3J0UUq7b+v7TVho031ASmNOlkNUwOzlD lwaRR+mOLvspVCRzJ+66Cw2mnZX7v5hR6KYjl42mGw1uGVcG3zenkH7KNanf HjQw3zAfYHqUQs0qrrFu3jRY1xB3pdGCQmNgFmMXQIMuTSXzCksKidmsizKI okFpJ8fhjjUe71iW9vsiGjyLWFPt5UShizGZEasrcX8eGGU+OE+hgvmYO5XV NPgwlsOv6UyheZuQwIt12G8Mcnqw72yy9m5tpEEZyRjfeoFCsWn81o+/0yC0 0asv341CNeWOiqsZNIjd++J61kUKiQ+uaxASp4Ont9gnMV8KWe9fWvNRgg6b na59TsZOfMsu95Kig1yVyFINPwopun7ObtlIB8bTJHXzmxTaO3kl5pESHRYc Oo0CAyjksrTVWUiPDo4TIs1FQRQqUwjlE3KnwzZNqUUPwymk0b7my2NPOpRv 47gvYGf5vn0kcokOqrICMq4RuL0vtRLiPnRo7HM+vP8+hUI9lihJ36LD4Tun a5gPKGSec8tMKYoOGQFZkVJPKNRwerVYZjRun8edKwBbnyexS+UFHcZX8rz9 ha157ONZ9QQ6rPtsmJgYSSHJPxzvnal00K/rhXVRFEo9dGLsej4d5IUDRJqf UWhUxy/mQDkdGi503R2JppDdoIBtQwUdzimMW+56TqGue7GbTKrw+CTjjz/C bvxZknbkEx3sOOaDWjEUyr45W27ZSoeh6EG5my8o5Ft5ddBxhA6daREl/S8p NOmy9N3oGB1+9D3fuy2OQu7Cz1yd6XQY7FnP8MS2d8ifdJ2gA7vi1Ye/2Aa8 k0svz9LBNzWrWyCBQkLGFxVvCRJw8O2+ZYsSKZTwceVyHSECdISPe+7BVtFO H2cJEyAqTdbdxDbdOpZsv5aABb8I/WnsMF4bmb2yBLhtFz3e+5pCa2/Ocabl CAhvndsk+oZC7yaje7O2EeC+mPxhjF031PZiw3YC2E9jZrKxeaoOiHHpEJC1 a3LMO4lCT3RGfxfsIqDj6K7O19gbs4PaPICA/469SG7G3vMKPezTJ2CCxemW S6ZQk7i1xzNDAh5mZe45gm3zcNbksDEBi582+Ptg+/nvWI4OEzBqGRRagy3w p3X8ijkBn6aLDtOwY909PykfI6BbK4JY8ZZCxdbvg+NOEWBxdnOiGfbUThmu m44EqOcbddVjB+eU9+44T8Aek7cKI9giClZlDBcCxmyjjbjeUUhN4tl1a08C HKoW+lSwKx+pnxS9RIAqtFsaYpsva9X84k3ARv/5p1bYntMCk7tuEHA9edz2 NjbHI7Xttx8Bu3fNjkVi3x81zE4LICBx6LdqEraU7fBDh9s4vt99duVip327 5SEZQkD88408ldg7TTeYtocS8PX3vdCv2PU1ZYrh9wj4PnHw0w/sU7tPL9e/ T8CjhqmPg9jjudPjcw8JUGZJXSawu8wq4rKeEDC7PKudwuZ7o/b2QhQBx0PE 52ewn61rCd70nIBUd66mBWy5J+4O3S8I2Ho7wmJxCoXy+AX0nsQRcCN+3z0e bP1bKTIHXxFQERvvtQS7bcaAi/sNAXQjGd5/PuM11FucjONhs9eQG5s1Flh2 MYWAkWtX1LiwA+ykY+XT8H0R9c9zuL1VnaXXBzIIkLxC453Cjj986mTMBwJ2 feClM9/9y7d/NM1zCSh5yr40gl2u+1SMvwD3L0Uk4Se2Sb7q5MciAqolm91a sH8qNbddK8Xxqgrqrv73PrqQHzfC87sc9RVgn0k5KhfxEbffbJuR8m+85542 iVUTcOiggEHMv/jJfvdJqCVgnu9c0t1/8zEgvlH+MwGuv1Y2XP03vwmnGnIa CDBgvc5zwJ5a1ytV10yAvPnvNh3s4h/SdUfaCHBm/OSRxfZ7Zu/Z1YH3g/6y yeXYPMLDlYwuAnzUnVZ04vVW1yznerWHgPuc96ql2GH3z4su6idApNtWKB5b iJ84JzJMAE1t3aQddnudklDcKO4fkv4D2NHBHsVbaATA+fA0Kez1iyiBnSRe nzneCh14PwyUq+dXswgolv3GysBO8r1ia/qbgBO7nRzvYCtOz3ywnyEggyw0 Uccm83aeps8RoEXXR3zY2Zf8eLwXCAja/eR7N96v2iSXZSg3AzYOD076YRuM LJ3PWMEAQ9bd4g94/y97cyBJaxUDknW81W5gN9rfM61czQDN4Pj9ethHewRf daxhAJdAinITzi927aIG8zIM6HTw+9WB84/sY0syWJYBXb7n2U+wRw8/j165 hQEHvqy7fwTbvUGSvlGRgc8T5jY1ryh0o3LTwwMaDJi6fljxJc5/ugGO2m1a DDBIo1kfxl6s+3bAaifu79oGfi7s0CL5HZ57GPDyuf5Xq3gKRWX91xVlzIA5 HY9KbpxPO1RC76+xYIDQV5O1L2Nx/YkD2SEbBvSqrr61BOdr6jq11N6eARdU BK8k4HyuYfmW3nOWAY82abZpY5esXJnz/TwD4pK1Ks7h/F8b0Lu34SIDEgfH Nmfh+tF9xs82O4QBGsqTIixcf9bDf3rb7+L7m6dDvLDt1g3Lpd1jQDNDY9fE YwqNtB1iJj3E991FncYeUWhCX9LveQwDlJxi3apwvePdUhITkMEASy5yROYe hQ5we9z8m8WAJLcYo+AwfJ7p23jmeg4DKs9yKkbu4vUUHbbtciEDmKGfxl+H 4nq37FThuUoGBEzqVvOGUEiVPt1h+o0BhxYKay/geu1dl1bU0ImfF3UTyfSn UOFru5dG3QzI2r5KfwLX991Wnxz29TPgsXCMjiuu/0ZfnlE7aAxoUXguaXwd 5+f/EgK7ZhiwpZTK5vPG54dMDSGpBQbwR1wziblEofxT04LNXEzI3OtWlYzP G4K8xQK3uZnwWk3HM8uLQhVWu/nG+ZiQTOuxLPHA9YNfn5MrzISg2nNlGfj8 MuJgxji0jQkbrwpE8J7F879KmM5RYIKqo3bioD3ObyXtY9nKTFiz51ZYmR3u 3+oTQ+LqTFC4rFF4zgbXd2TTPaTLhLmL30sjT+L1JeH62deCCY/t72UZH8bz V6NUt92SCS/bxd1ZJhSS9iKrB04y4XpFaEDkIXx+q7tYYWTLBFo+y7/pAI6f 97UCERfmv3gMrtGn0J+mkKQ0fyY8dE8JG9ek0OoUwcD3IUzYO7bxsbsazofB rwJ/pjKhcOxOwR5JCq24utTYPp0JfG/TP/hJ4PPsebfVI5k4HtW5SvniFMo5 qP2azGVCq033lbWiePxCLdWLERMyosSa3q6g0ME4Lr5tbfj5vOCcb3/ZqPOB U3N6BxO0E+sFa+bYyCGwMVq1kwmRaj//pM+w0U2H6G27ephgvNND3mOSjbLk VQ4eHmVCl4DpXBrBRl2mhz/0zjHB6Yzc7MsfbPT6Xc3x2b9MUGzd1P7oOxup xChI+3OREMStVCXewUYH/P5khi4hYWBfU5NQMxv56j1oebGShEuZg4/Sa9ho oKlcpHITCbmPQ8I8M9nI46Nsj4EcCUd2aFrdTmOj+eywpIatJHytSzwekcJG olHHNTqUSFAS15EOec1GRlZMyzFNEqrDxbbwPmOj9DGpF4KHcHsxJmoivmwU +jLYrteUhDD1OeYaHzxec8bmDDMSzMU1LgtcZiPJ0tIsE0sSOqfXH6i9wEbG 57sJ31MkaMySP3uc2Cjswena8DMkuJmKS3idYiMn/ap7Vo4kRJnd0iaPsdG+ GXkzxfMkqIWp+54yY6OZM7PdDW4kFGnpbJkyZKPzGs9Z/NdIMJW+6K+izkb6 dK6Crhsk6A7WmfJuZyPphPO+qTdJCCiX6qraxkbflmktNQ4iof7IohT2ejba 3/NN8u4DEsJPCD7l5mOjDY91B048JkFAuXB2bhGOj0Hy261P8f/F4GbbHAvl Znmrfooh4YywGrcEyUI8k3nNR16TsLVvfpVzFwttDBIxWppMglFnlHZHGwst aPmu+P6OhAlvPpNnjSz0gzHYmvyehOgD/Vu21bDQQ8sca4MPJKz/RRvKymMh V4F1m8RySdinW+6YkM5CRh9vjQ3n43ivaWo3T2Ihjrz5peBSEkRqdH3JJyzU 1VekdQyRcHwp33BTGAvlR8osyFaS4Jol4WobyELuCxOh1XUkqCR2rPd0YyHj nBOmkfUkGA/ur+s/w0Kbz1cIO3whYYj3JH+fJQv9bHkQx91Ggvbvpd5me1io MOTP2bYOEnzqk9KS1FgoqfDzEPkNr6dtNCcr/P0audN22+tO3J7uDGe/HAt5 TtQyL3aTYLG+O2+NOAsdTFLO3deL3w9f86f5WEjuVNS11b9I8BD4eKJ0egIt XrmgOzBIQpxCi5Tc6ATqrXLkyR4hoXckMbgffz8X+3z5HDhOwiGrO3EXyidQ lNKOB2YEXv8G/Yw/SRPIayDWQoYkgd+rbNmyuxPo0DMeCRaLBL0b1012O0yg rYdc+yp+kxC/ue3ZEXn8/v9o9aWTJGTwam1VHSXR/wCYR0+s "]]}, Annotation[#, "Charting`Private`Tag$2800523#20"]& ], TagBox[ {RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13lcTG8XAPChKPQrFWlPSUiUREgdlKQoLaQURZGkIlmilRSRhDYkaVXa JUVPG0WlMm1aaZ1m7sydmatSoffx3n9mvp/7mbnPcp5zzlU+7mXlOpdGo62a Q6P9+zR1ZbRUjB00wF+bK8ZcywUNZb37ZXSA5lLi4SdjhDY+i3tSKGMEtB6j +DFpG2TW2FHwVMYGaG/icxdIuyBbl8n30TIuQLPPK3WXuoB6NcMM78pcgIqv EQb6kjdQ0lKLm7dlbkBQaoc3U+QhChYuXHVL5iF8f5ccbkJLQYftnudyeSlQ oRdyc0lZEVo0G+ywRzEXLutFPFJKLUcrLTmM6ogiaG39FC6mUoMufdkKcT/f Qh1XQOC92Se0rEi8b84cBB4PRWlNYl9Q8YBhQ9P2KhA5p5id/qgFVbk/lbMj asAo/lPylFgrGlfTF3t1thZoQ/YhQ4fb0dyprMVyKz+Dy0EDv9z6TrR51qnY OqcB8nL32JT9140abuh8+ajeBCaCGy5k6vcipSjWVCanGUSSQ0pDH/Uj1mR/ X5vWV2AVyX2c6PuOUphln0Uj6aBX0ffKbP4AEr64dM7oDB3KGAn+nc4DSFQh nRwaagWRp6lewqqD6M7p1yeTVNtB5arE31z1ITSxI2vILbADvpt5GJgaDqML 2jVFUtWd0KrY+3zp7hHUn1MT0aLcBQH1a4abbUfRjHvr4zV+3SAfFHai3ImB jkhtK00c7oY8ycE/ZD4Drd0p9PdkWQ8YR7KlL1uPoT3Jyqfyl/VB5Vv/vy8O MtElhWMqPxz64WzfcBN9JwtpEAcXdez/DgvH559JVSVQ0Aeu46nu70Ds2Ssa PUYgSTGucM30dyjjLrqgvZSNBNHj3BVPfoCaCs/cmMtGZ3TKvi0wG4DVy1N3 3+rgoKy9x5PKJwbgSppuyGwhiTb+/xoEKkJUZ88sicZZsotHYgbhV0mPfbE+ F7223iPw0GgIOjLm+exK46JAk9BnRSND8KWtZf1uQR4a+/U1M1B9GNK+WLWJ qPOQcq9p54vQYThUXenV4cBD23RvPJTRHoGCjdZmySU85KDYNDWHPgI0ubpP Iwv46Nxp22W7ukYgvlS25/B/fDT++e6Ad/AobPmWNFzvwEdxgkcvWKkyYLfK q5ftKXwEYyoRzpYMaNS7lqH9ho8k+14nz61hgN7kbcfRYT6a5x9ss/XcGBSJ zPG5vpJCRTxiCvmMwbhnsPBxNQq5nDz8zPjiGEy7nFi7YxWFaiw0mdZXx+C5 tZP0zGoK3VDpDfQMHQP0GYWf0aBQQvy/awzkpYfXbtxIobmS3DmiVWMwcCri qs8OCtEyj+YOSDBBXfdUgJ8dhT4SHZ7PljLBXNMu0NSeQne0LNc7SDOh4K/0 iMwRCi0rMXzVpsAE60NBg8UOFFpfuzqrbjUTYvkmD8aOUchhmJ+WY8AE1u6V 3htOUuitcliinzsTjNSHLE3OUyjAlXZU9ywTKm8t3yvoQyGjzCsKP72YwBHU i0fYzVoeT876MsFC02yXji+FGGCZ4BTEhOmAoKyllykkdVQuxjiGCTa1Rb4l /ni+jLytWW+ZkJ8hrOl+k0LnE3LvSlQxgTg1leYXTqE3vxPCqmqYMFUn2qJw i0K/j94MPl/LhJqWW2YV2GErHH2/NjBhglupKRBBoSfZCx2jO5hgv/teetBd Cn0od9WQYDMhaI/WsF00haQH5erFpVkgIWIyHfyYQo67hT5UyrIgJlhik+gT CiWn88vPKbAgvzosNx5bw+NTQYsKC9QPrnXOeUqhneMXE+6vY4GRr276l2cU chf6elrckAU1vXXbmC8o9H5tuLC4JwuyLnVvvpVFoc2tyxqjvVnwOKLu1k/s vGvp95f4sGCEtVz1WDZ+XuNHWenLLGBs6tfQfkWhcK9565RCWBA28yugKYdC VoUhlutiWEC32582kk+h+iMSUrlxLKBpb9QwLsDrL5jcpfWYBW2Oh7kp2LoH K0/oJLGgVX9Ky6mQQvKTs756L1mQM+9+SGMRhV7uO8zwK2bB2uoNvAvFFBrd 5p+wt5wFKiulekLeUMhpUORYfQULDs0R+N2G3RXxZMX+ahZEz6gfWF1CoYae suwDdSzYSouI/oxdEDBdbvuVBeV0lse8Ugpdq7o06DrCAu33nH7rdxQadxfK GGWwIGBVPD8e21My1uM0iwVfVoau78d2dike9+CyYHG9gdKp9xQynj8udGGa BX7SH5o8yikkbnpeI0SUALmG6g/mFRRKqhRbtE2cgGJFq7oIbK2tr8Z4kgQY n1SpqMU2X81Ic5YhwIZ+JWJ7JYVuzz+qvFOVANmgLRdkqigkEzAz+0uNgAtf pATNsTPG4/ry1hCgXsMMCsauHaI/Xq5JQF2duv4wtmD1XinaNgLi3iQ/f1ZN oQfbRn++2U7AluyvfvXYKgU36F5AwIv7OlsmsHc8R1H9RgQ40ecfMamhUJO0 o1fsHgI0T64v98I+GjW938KUAId9E7QYbP/ATYuQBQGBD8uX92OLTH4du2hF QNRJ15k5H3A8e3rXrT9IwC7nqbwV2KWOWaGJ9gT4titknMDe22bicsiRAC8z w9Fg7M59I7tEnQg4/zXwdyL2hJ4yLcCVgMhNFilt2KGF5X2b3Ahg9LrokNhL 1jq8Z7sT8FI19pHQRwptlI31c/QmoMRY/6MOdtV9HbulPvj3f5Y/2IttteCr bqMvAQv/0DQcsb1/iYxvv0rA5hi/d0HYs14v6T/98Xrt986Pwo4c3VOQHUTA 1auyZ59hKxwbjnK5TkBe43JONnZ2e4iX/E0CrA6v3vgWW898uXlrOL4fSd9W g/35w3uNOxEEyG+vEviCba9/ZJFRJAEp1+7facceK/o1NhNFQMbrbnovdpdl RWLeAwI6Wbotg9jCKRvTz8QQcJixPY6BHSvXEroinoDwDj8JAlvtgadL92MC ShOCd3OwXy8UMXyQSMDtB72aJLZRSKay2XMC7Aykm//dp08Z0wRSCNBSL1Fl Yx8/N9RXmkbAFe4ODSY2jxH8/nwmAckaG4eHsYOclJ6oZxOQ4CNi/h17cec7 v4EcAnTM9rh+w35mYW+XkE/AaeUja1o+/svHk7pWRQRcNnwXV4tdbvBIauEb AsZau/PfYe8v1h6vfEuA28dVPnnYPeua6VfeERDasLA7+d//scT9BRAB4187 uQ//jS/TWu1uJQFprkPtof/me+pRk1QNAYeY3RG+/9ZPteNy0kccT5vOiLr8 248BaRX1T/i8XNdztPy3v0n29YX1BHR7URf1sSfk+hRqmwkQPJA+TwK79JtS 7QE6AacUBi9N43jyj3X27mojoGv9zdwf2IKSw1XsLhxv0SdOZ2PXNqt5XOol oCGulnEP+3ak29I533G8bh1ZdR5bfCFxaskwASHSYf3a2K2168QTR7GH5Q6K Y8eFepWuYuL52EXd4ODzojiHEtEjCVi1X35RKvZAuU5xDQ+fnzXrjwVgp167 eMz8JwFnDi45dQhb49dUvvMUAQafNe/MxSZf6x1hzRDAVzZOa8fnt8DHX9D3 L45/Ov9sJvZWkmYbLsAGn+2vZk2xjUeEfuf8xwYXrW2z/jg/LEjZm7plMRvX l5zDe7AbnCPMqyTYMOX02EoM27pX9HnbMja0PhVVfozzkVPrUuPfymyQml8/ +RznK9VoWzJUlQ0csWhVJ+xRi/g4sVVs6BFvGJTH9qyXZ6losGHHhJlENKLQ 1aoVUXs3s+HhW78Zd5wfDYJct9K3sGFXzM8wBey5BukDDnpseHukO/YLzqfh b9U3ee9gQ5aA3DYN7Ji8DV0xpmyIt3l0oK2MQm1a4ZHLbNgQuHDA/RzO33mJ oDp0lA39NrGTPTi/U36UkLMzGzZkxzRcxt5sm87qPcEGil8gKYldJiZW2OHG Bm5xCbkL14uPQX0768+z4XKBVPK91xTqPu5/rOAmG2xnrkx24fqlCBsMNW+x QT5Sc9AB20luWC07Aq+f2mn53jwKjdD3cVKj2HBU8tLZzlwKcY3k/eMT2JBs RzMsxfVx/qqyhKAcNjDp8z1XZ+L8J+AV8CePDaErJKbvZuB+p1/luF8hG6Yj mzN46Tie4m6vuVDChrBHRccL03A9XGBfcqqKDS0n/H4qpVBIm/WrzbydDQYZ lzsSEinkW5v9tr6TDdZmKYo/cL0veeH01KSbDdcUBw6uxNZ3qHPZ9Z0NkdWZ N9Nx/2DSGEttYrIhzanqbnQczt8bkoK7ptiw1GHZMrcHuL/I3Syu8JcNL1bd 4c3ep1Cx/S/RZhoHOoSevFqMLTq/VOS6AAeuKPsXKUZRqMJBX3hMmAOdvXp3 tSNxfVloNFskyYHiiCPNW27j9XGxZO9bw4H207O3SoPx/i+WZM2u5YDMBNf4 aRDOb2WtjIL1HBAd/EReC8Tjkzg8JK3DAc3XXkxt3G+9REe7hww4sO96QdVl 3I95ynp8umbDgSiX4Geunnj/Pqyr1bTlQKbEzwrJsxRSOkfWDNhx4Lduy6Hy M7i/qz1fYXKMA3ZBr98Ln8br53vlzRJ3DqRwqoPPnaDQZNPN1OxADrRajOff tqWQRKZocNZNDpgeF5HWsMb5MPR5cM9LDoRfjZl7fzuF/rskZOr8igN+tlrv v23D/a7bWYmRXA48uWisrriVQoVmW1+QRRxIPifLit+E5y/eUjMXcWDZw6cp R9ZTyCyRJryGzgGbNTELfivi+nfvZPOrNg6UHYvLmZLH/XZwQ5x2JwcmGkJU +bK4f3WJW7O9lwM+0/N20KVwvKtrmVmMcsB8e5eZjSiuH+YW+X0z/9Znxa6+ GT56kfHh0PQfDqg/9ZAanOIjrYS1SoE0Epoe0HMDJvlor/9kbvg8ErovKkEy n4+uGd5reSxGwgKrZwviGHw00FS+pGoFCalNSe0r6XzkVanaa6xGAtdF+oxN Mx/9LridWr+aBLlSstyvkY+Wxhza3LaOBEOHvsU5tXxk4sCxZeiSoKarLJlV xkevGAqPRfeRMFdPfbzjOR+FPw116jMnoeunCQgn8pGLFXtljiUJhQlaD9QT +Ej+3bu8/bYk3NS3/GMYzUembt3ENXsSFpqfz465y0e37x35eOc4fr626B0U zEcnjaojHFxJ+Nz+h+nrz0e7ptQtNdzw+FvWbZK7wkdTx6e768+ScDVEKlnL m4/cNsfzFl7B4/0Vr3bZkY+MWLQ3XVfx/G7k7Y09zEdKSW7XXgaQsHjbs84k az5qX7BFyPQGCaWmB5299/LR7t52+Vv3SLA6kNPM3MhHy6MNBg5Hk6BR7Ka/ Zz1eH+O09NWPSKCzwzTCVvNRUZ6vdl0CCQEbK/9my/OR4Pjr5gMvSHj58Iz2 dfw+p3JjiYlQGgnt2v4FZwT46O+Wa/91ZJDQPCHeiX7z0Df24Ne0LBIe/W7s ZY3zUJRtoaNxPgmXhj5aVI/ykIeI3AqpIvz8+LNr3L/zkEllCGO4mIRbSk35 /Z08NKtu5RP6joQ7H65Irv3EQ139b7ccRCTsarI2m67goeKHyn9Vq0iYKpXo uI3fNz3/csNrakkoWmyp3pfGQz0t9xIF6CSES+yIzwnkoZKbkyfobSScnWR0 MS/wUGrJpyGynYSe0qeJft489FDv2JoXnSREWjob5Z3mIbPU9UW7+kjYecRt U5IlD6nZx1yR+EHCz4nN5zKMeGiu2F+DgUESzl1fdpLazEOllxs/BY+RoBkU FtQqzUMx6zbdsyRIUHBc6ykpzEPnBp7YKJMkhKal+/aMc9G+WEFZHo/E76Oc Q40/uGj1Po/+ip8kRG/3MrWo5yJ05xSrYhzvR5vpkmVVXCQ4pzUlapKEzWdG b7jkc9H313ruTtMksGKUdRWjueid+wtNrT8kLJUsWhLoxkWxSovGZ2dJkGVs aKTTuOh/1tNL1A== "]]}, Annotation[#, "Charting`Private`Tag$2800523#21"]& ], TagBox[ {RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8VF8bAHBFkqRkSSIpqWz5IVvlqQgpipQWa6HIWikVoZBEqyQJKYps 2fcja6HsJbJkN3Nnrpkb2TLv6b3/zOf7uXPvOec55zzPuTJnPMwdF3Nxcd1d xMX179fYcaylYvyYbtna5ZMcDgd49CQ8+9aqw8sPrSNKfzmgFh8dm7NWH873 PFcsn+HAkKRs4FU5U/jjXPQra5IDB798z3651gJ6Tpeq8bI4IBsulcSRPgnM evMz5XQOzBuffWYvZwM5wYB+DHOAFtRebR9lD0MhezJO9HHA0uFP2eO1DvDu APvNzk4OVOtJFFTFOsHL5Rnyt5s5oLJpd9ZvaWfgCJ7t3P6JA3wDtxKPy7nD DeWTTiV5HCjub/1SZeEJn0drvr54zwHPIw7GVlFecEtQxGMogQM92+/oRay9 DE8FraSz73IgMl68YvNpb0hZ2bBT248DxitTd5XHXoG2L5feKXpyIJ/ZuIOU vganQmY1rC044Gpjk33H/jrwrPLrj93PgY1fSeUNr29AqXLrmIkGB+6nr95q JncTpL5IVS4T48B+qTdvxs/5g3Y2LWzNEg7crI1Z9dEiAAr63V7FUgugrqEY cTIqEG7N/acm3LQACaKHQ8LWBkFs2c2OX/4LcOPLs+rjxUFQaXj45Q+XBTge 3L940+lgCOpk1B8/tgACk17+JbEhwGfLkB7fugA+7ZE+hPRdmHd+RE+q/wtm T7pcTOXuw2KFQzqWs/OgeHBTikTdfShPeiv0snce+LhdR0fOPYDiGul9YZXz YFu08AFZPIQZMjjz7N15EN32UPlE1CPYUpExYSY8D4F8OVvuro0EIYfjqiIS cyBv+Cg02zMS6iP1jm7+MwutwR7j3XWR8M6KdXm6bRZkuRXfK195Cqe7Vr0j w2eh9u8b5fbWKDCwuzDiOj8DAlTUDunw51CnECc62DYN0T3X9fIW4sDwBu/0 +OUp2Ct58k3vsXh4Isz/kDCdAtopzSV86fHAuXlPYnrrFKwnrp1NV0qAFsPc PSo9k+DhrLGZ62cClA/obTA1mITVDpnvkrQSwSrE2tVZ8jecOPkqc4L1BlTl Xsr59LGA7LbgT5RIAkpt4KAyYkGIDZ/jUb0kGLMJX1gaz4Kcsx4S+ZFJIPuu PmqLLQsE3XcH39BMhgPDM2Yyvyag5taPU7x+byHQ0fepbycJqmlCvJJ8qZBa eDjh5R4CPivX2H1RSYWY4Qnm12UE2H3wKbl5MhVadLYrmrXRISK/z/NXaipY X+jfaHSODmMV6d3JJu/BYbPX7/nHNIjrOPDhvydpMGPCt8RmZgyWcwKtDNdn gkvjutL9XCMQ7Wxpo2iQCeO2H/+sbh8G2XZFOyH3TOCfO7BD7t0w6KZ8P9td lgmeO54bSZkNQ1FKVF6BchYstV4Wr5c8BIyjROnBr1lw1M1ouZT1IBx796zh 0ops8Dy3rOrAbD/EWt865CSTDXvdrz6S+NYPA6vdvpzYkQ0DfPl/ZbP7wcNv X9Nu62wYFHGSGHbph7vmjNal6dmw+MjePMHyPiib39f14lAOcI2JTkwn9sBm M+ZY1b1cmO9X7v5b+AMk/A11zr3KBbdHfP63fX7AqvSEe/wFueBTOH3kstYP mOU7qmw2kAt3RldQT4o6obmi4FKvVh7YnK5Jy674DtdVAhemh/PgRb1+fsav Dvi6UkREeU8BuKhrBE2db4Wq3W6OLccKoFFiYY+BeisUXqjNv3yhAFT+C387 ymmB13U+J0uiCiBxajBZMroFfPx74owYBcCdWKe2q7EZNpLJ287GFILNGe8p n+CvcPWrNkT/LoK/Qjsv1H36BILKecOf+YqhgvlbaPPVT/AmQiV8TrIY9ql/ +8rc/AlaDm35YbO/GPYv85WsCqoDhQaRS5ujimF7oKCzpWEt9NWRydmaJbBD Pq3mal8VGH5MEvxyvRRChgyuXE4rh94NMnkL90shi//ilKxMOVwOiD2t8roU GlH3Ub+oMngFT949aSgF9uZJrw23S2GuLGDfKckycLGQcxNwKIbM4tNXRsvK QP7Co/VOevmwJleod9EiBI1LaGHc/WlgFT5nMSSG4MTEqNHDrveQ6DDcUKuI IFR0SNfsWyooihYV3TuB4LyLeotjyzvYd8XuqWgWAjvLNa2RHW9AI9YyOXJ7 BfS/5mQyt8SAvU2y9bveCggoVw374OKC8gf0Gpt2VcKY4VGrYMc09M0okBVh WAkOm055Z8mno6mMcrFD5pVQ+ILHZwuZjjRvaNt/OlcJ4bd3+Sx4Z6JC4e1T FY8roZO+Srt49wdUpC+xIXusEozW7Mw/qJaLSpMnLkVGVoFvF+8GaqAIVbq8 XHeSqAaDq8J5D7UqUc74hQs2U9XQY3k1T8SmEr05r1NylqsG/nZ2JfjfrkTB Tt9PuYvUQELglW/8XyuR0RmhmNu7aqBZeuXfWfsq1HQyWDwjvAZmHxzVOxtc jX4auYlyK9WCX2d/hElJLZqU270y3a0ObNdqfQuh1aPFM+9XrdtcDyEzkEPd b0EaHLv8oxmNEGS3XFZrrh01Bql/rZVvgpgl/WahKzuR9EP6TAqzGTILs3dv UuhG9D99vR0qrdAY26I7NNyD3tBK6gXvt4FsoB4qOdWP+K6ILhqdawPln1L7 e2v7kaDUW3JoqB2e/FzSsjPtFwp3znNKkP0G/3WE/pDvHkBTe94Pnff/Dqjr l8gj8SF0WbU6V6yqE1alLXO5pTmM+jKq77XIdMEq2oqPexxH0JxL+4tt17vB TK3enQgaRafFdIrjhrthSK6/1OjnKFLYu3TBqeQntInqvxANG0OGiTLnPqzp hZ4TZX8KXo6jq1K2G39Z9cFi38pIjWgaUiSOLf9u0g+Ljh5P9blDRwE1E9bn uvtBIeSCuNpxAgmvnOCrxnlG+OvYLc5tAvGgF5mbYn9B4OQ2U15nBrqgXvJj 2cEBMG/pSqCdZKL3B84klE8NQK7GNY1WXRKp/f8ahFaVbRm14SSapEusGoka hD33npSk8k6gvKOG3JH6Q9CgoJqbfnEC+RsFx+eODMHDHTqtL9om0Ph0a4q/ /DBokLZG/rMTSKbHuPN18DD4Glh41SmzkI5mUORa1RFYEB6/vyGChazWN80s ahsBxar1QxH9LOTlbLlmX9cIaITy3hQbYqHJ+ogBz8BRYN6ZXfJoBxtF89hc Npcdg4u/a7c6+LMRjG+8Z282BjaqrstUH7ORcG9e4uLqMViSwrrKV8lGS/wC LbS9xsFKK/aEAjeFclnEDLo0Dh+F+/av5KGQg9OJeIMr43D89UgZG7v68Hba 0RvjoCF5wqSQl0JBG3v83YPHodR1/+BufgrFPP93jYNO/k7YLkShxcITiwQr x+GHYbjRx/UU4kqxyRxYTYPjDxQ/nNWiUC3x3T1elAYGxj9qtLQpFK5ipmwl TgNFXrXdK3QotKZQL71DigZ0f2fz3J0UUq7b+v7TVho031ASmNOlkNUwOzlD lwaRR+mOLvspVCRzJ+66Cw2mnZX7v5hR6KYjl42mGw1uGVcG3zenkH7KNanf HjQw3zAfYHqUQs0qrrFu3jRY1xB3pdGCQmNgFmMXQIMuTSXzCksKidmsizKI okFpJ8fhjjUe71iW9vsiGjyLWFPt5UShizGZEasrcX8eGGU+OE+hgvmYO5XV NPgwlsOv6UyheZuQwIt12G8Mcnqw72yy9m5tpEEZyRjfeoFCsWn81o+/0yC0 0asv341CNeWOiqsZNIjd++J61kUKiQ+uaxASp4Ont9gnMV8KWe9fWvNRgg6b na59TsZOfMsu95Kig1yVyFINPwopun7ObtlIB8bTJHXzmxTaO3kl5pESHRYc Oo0CAyjksrTVWUiPDo4TIs1FQRQqUwjlE3KnwzZNqUUPwymk0b7my2NPOpRv 47gvYGf5vn0kcokOqrICMq4RuL0vtRLiPnRo7HM+vP8+hUI9lihJ36LD4Tun a5gPKGSec8tMKYoOGQFZkVJPKNRwerVYZjRun8edKwBbnyexS+UFHcZX8rz9 ha157ONZ9QQ6rPtsmJgYSSHJPxzvnal00K/rhXVRFEo9dGLsej4d5IUDRJqf UWhUxy/mQDkdGi503R2JppDdoIBtQwUdzimMW+56TqGue7GbTKrw+CTjjz/C bvxZknbkEx3sOOaDWjEUyr45W27ZSoeh6EG5my8o5Ft5ddBxhA6daREl/S8p NOmy9N3oGB1+9D3fuy2OQu7Cz1yd6XQY7FnP8MS2d8ifdJ2gA7vi1Ye/2Aa8 k0svz9LBNzWrWyCBQkLGFxVvCRJw8O2+ZYsSKZTwceVyHSECdISPe+7BVtFO H2cJEyAqTdbdxDbdOpZsv5aABb8I/WnsMF4bmb2yBLhtFz3e+5pCa2/Ocabl CAhvndsk+oZC7yaje7O2EeC+mPxhjF031PZiw3YC2E9jZrKxeaoOiHHpEJC1 a3LMO4lCT3RGfxfsIqDj6K7O19gbs4PaPICA/469SG7G3vMKPezTJ2CCxemW S6ZQk7i1xzNDAh5mZe45gm3zcNbksDEBi582+Ptg+/nvWI4OEzBqGRRagy3w p3X8ijkBn6aLDtOwY909PykfI6BbK4JY8ZZCxdbvg+NOEWBxdnOiGfbUThmu m44EqOcbddVjB+eU9+44T8Aek7cKI9giClZlDBcCxmyjjbjeUUhN4tl1a08C HKoW+lSwKx+pnxS9RIAqtFsaYpsva9X84k3ARv/5p1bYntMCk7tuEHA9edz2 NjbHI7Xttx8Bu3fNjkVi3x81zE4LICBx6LdqEraU7fBDh9s4vt99duVip327 5SEZQkD88408ldg7TTeYtocS8PX3vdCv2PU1ZYrh9wj4PnHw0w/sU7tPL9e/ T8CjhqmPg9jjudPjcw8JUGZJXSawu8wq4rKeEDC7PKudwuZ7o/b2QhQBx0PE 52ewn61rCd70nIBUd66mBWy5J+4O3S8I2Ho7wmJxCoXy+AX0nsQRcCN+3z0e bP1bKTIHXxFQERvvtQS7bcaAi/sNAXQjGd5/PuM11FucjONhs9eQG5s1Flh2 MYWAkWtX1LiwA+ykY+XT8H0R9c9zuL1VnaXXBzIIkLxC453Cjj986mTMBwJ2 feClM9/9y7d/NM1zCSh5yr40gl2u+1SMvwD3L0Uk4Se2Sb7q5MciAqolm91a sH8qNbddK8Xxqgrqrv73PrqQHzfC87sc9RVgn0k5KhfxEbffbJuR8m+85542 iVUTcOiggEHMv/jJfvdJqCVgnu9c0t1/8zEgvlH+MwGuv1Y2XP03vwmnGnIa CDBgvc5zwJ5a1ytV10yAvPnvNh3s4h/SdUfaCHBm/OSRxfZ7Zu/Z1YH3g/6y yeXYPMLDlYwuAnzUnVZ04vVW1yznerWHgPuc96ql2GH3z4su6idApNtWKB5b iJ84JzJMAE1t3aQddnudklDcKO4fkv4D2NHBHsVbaATA+fA0Kez1iyiBnSRe nzneCh14PwyUq+dXswgolv3GysBO8r1ia/qbgBO7nRzvYCtOz3ywnyEggyw0 Uccm83aeps8RoEXXR3zY2Zf8eLwXCAja/eR7N96v2iSXZSg3AzYOD076YRuM LJ3PWMEAQ9bd4g94/y97cyBJaxUDknW81W5gN9rfM61czQDN4Pj9ethHewRf daxhAJdAinITzi927aIG8zIM6HTw+9WB84/sY0syWJYBXb7n2U+wRw8/j165 hQEHvqy7fwTbvUGSvlGRgc8T5jY1ryh0o3LTwwMaDJi6fljxJc5/ugGO2m1a DDBIo1kfxl6s+3bAaifu79oGfi7s0CL5HZ57GPDyuf5Xq3gKRWX91xVlzIA5 HY9KbpxPO1RC76+xYIDQV5O1L2Nx/YkD2SEbBvSqrr61BOdr6jq11N6eARdU BK8k4HyuYfmW3nOWAY82abZpY5esXJnz/TwD4pK1Ks7h/F8b0Lu34SIDEgfH Nmfh+tF9xs82O4QBGsqTIixcf9bDf3rb7+L7m6dDvLDt1g3Lpd1jQDNDY9fE YwqNtB1iJj3E991FncYeUWhCX9LveQwDlJxi3apwvePdUhITkMEASy5yROYe hQ5we9z8m8WAJLcYo+AwfJ7p23jmeg4DKs9yKkbu4vUUHbbtciEDmKGfxl+H 4nq37FThuUoGBEzqVvOGUEiVPt1h+o0BhxYKay/geu1dl1bU0ImfF3UTyfSn UOFru5dG3QzI2r5KfwLX991Wnxz29TPgsXCMjiuu/0ZfnlE7aAxoUXguaXwd 5+f/EgK7ZhiwpZTK5vPG54dMDSGpBQbwR1wziblEofxT04LNXEzI3OtWlYzP G4K8xQK3uZnwWk3HM8uLQhVWu/nG+ZiQTOuxLPHA9YNfn5MrzISg2nNlGfj8 MuJgxji0jQkbrwpE8J7F879KmM5RYIKqo3bioD3ObyXtY9nKTFiz51ZYmR3u 3+oTQ+LqTFC4rFF4zgbXd2TTPaTLhLmL30sjT+L1JeH62deCCY/t72UZH8bz V6NUt92SCS/bxd1ZJhSS9iKrB04y4XpFaEDkIXx+q7tYYWTLBFo+y7/pAI6f 97UCERfmv3gMrtGn0J+mkKQ0fyY8dE8JG9ek0OoUwcD3IUzYO7bxsbsazofB rwJ/pjKhcOxOwR5JCq24utTYPp0JfG/TP/hJ4PPsebfVI5k4HtW5SvniFMo5 qP2azGVCq033lbWiePxCLdWLERMyosSa3q6g0ME4Lr5tbfj5vOCcb3/ZqPOB U3N6BxO0E+sFa+bYyCGwMVq1kwmRaj//pM+w0U2H6G27ephgvNND3mOSjbLk VQ4eHmVCl4DpXBrBRl2mhz/0zjHB6Yzc7MsfbPT6Xc3x2b9MUGzd1P7oOxup xChI+3OREMStVCXewUYH/P5khi4hYWBfU5NQMxv56j1oebGShEuZg4/Sa9ho oKlcpHITCbmPQ8I8M9nI46Nsj4EcCUd2aFrdTmOj+eywpIatJHytSzwekcJG olHHNTqUSFAS15EOec1GRlZMyzFNEqrDxbbwPmOj9DGpF4KHcHsxJmoivmwU +jLYrteUhDD1OeYaHzxec8bmDDMSzMU1LgtcZiPJ0tIsE0sSOqfXH6i9wEbG 57sJ31MkaMySP3uc2Cjswena8DMkuJmKS3idYiMn/ap7Vo4kRJnd0iaPsdG+ GXkzxfMkqIWp+54yY6OZM7PdDW4kFGnpbJkyZKPzGs9Z/NdIMJW+6K+izkb6 dK6Crhsk6A7WmfJuZyPphPO+qTdJCCiX6qraxkbflmktNQ4iof7IohT2ejba 3/NN8u4DEsJPCD7l5mOjDY91B048JkFAuXB2bhGOj0Hy261P8f/F4GbbHAvl Znmrfooh4YywGrcEyUI8k3nNR16TsLVvfpVzFwttDBIxWppMglFnlHZHGwst aPmu+P6OhAlvPpNnjSz0gzHYmvyehOgD/Vu21bDQQ8sca4MPJKz/RRvKymMh V4F1m8RySdinW+6YkM5CRh9vjQ3n43ivaWo3T2Ihjrz5peBSEkRqdH3JJyzU 1VekdQyRcHwp33BTGAvlR8osyFaS4Jol4WobyELuCxOh1XUkqCR2rPd0YyHj nBOmkfUkGA/ur+s/w0Kbz1cIO3whYYj3JH+fJQv9bHkQx91Ggvbvpd5me1io MOTP2bYOEnzqk9KS1FgoqfDzEPkNr6dtNCcr/P0audN22+tO3J7uDGe/HAt5 TtQyL3aTYLG+O2+NOAsdTFLO3deL3w9f86f5WEjuVNS11b9I8BD4eKJ0egIt XrmgOzBIQpxCi5Tc6ATqrXLkyR4hoXckMbgffz8X+3z5HDhOwiGrO3EXyidQ lNKOB2YEXv8G/Yw/SRPIayDWQoYkgd+rbNmyuxPo0DMeCRaLBL0b1012O0yg rYdc+yp+kxC/ue3ZEXn8/v9o9aWTJGTwam1VHSXR/wCYR0+s "]]}, Annotation[#, "Charting`Private`Tag$2800523#22"]& ], TagBox[ {RGBColor[1, 0.75, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k0Vd8XAHBJUUTGIkOGKIRUpGRXJFRkKJE5IomiVDIWUiGVTPWlhFRC SIZyIlNpMkumzN67b7zm5P1Ov/vPW5+1zrrvnH3O2XtfeTc/Kw9uLi4uxyVc XP9+zTzGmz9MHDVQkOWf4nA4wGModa5fchvceCgjcfovB7ZmpDwqljQCWqRW 74t5Dhz82ln0n6QNbNC38iib5IBSrEw2R84Ogo/qbo5kcWDB7GSyq7ITXCcb czfSOWDrPvP+nqQ7lKXKtf8Z5UCtodTbj49OQQbtxwPVIQ5oKe4unJQ7DR26 y1W1+znAN3gt85iyL9ATYa6pgwO9mjcM4yQvgPpi+DO1Wg4kZqz9sOHERXBV nzungDhgJvRCv+pRIHR0hV5nl3OglP5lO0PuCrTf92+VLeBA/CuRjZbKoVAU 3HPzRTIH9stkZU14hsECm7p49i4HQuvTVlfbhIN1auhl/tsc2KajHmeXFAF+ HhxKWwgHHotbRN+SjASTs9mK2a4cuPo1ufZYRSR43crl17fnwLGoAW7FE1Fw 1HnP9CsrDghMnQ+rfBQN386KeigacuByW+JlQu4muNlSfx1X4IDl/W5vc+V4 UJMqaBDpXgT1g4rPpRriQThHp9fnxyLwLfUZG/W8AxWxOTlZ9YvgXL74Gtkk wHW7Y3L5RYsgvilB43jSXRC0DrbTuLkIEXzFKjclE2GLak2PqNYiqB64G1N0 LhE0DQ5qeSguQkuU38SvhkTo3ClkdU9iEZSWqr/UCHwAPFLqehELf6H+b5ZG W0sSdGt9OFxR/xcEyKTtcrGpEMKsivlt8xdSeoMM3yymg9tw9HkX+wXYK22X 1Xc0A+4tXRP3zXQBKPa6y/heZQCaGDRR1FsAWeLKyVebH0P2zobV19YsgN9p nQ1cPY+BVdzBlm39AyLuBbnZOzLBxfBdgrLxHzhu96SAycoCLtaSSEJmHhi/ bFZmSmWDe474BUWBeYh24vOwNswGZz1BGfP5OSg+6SdVmpgNy5iBRWEdcyDo uzvqqm4ONAQ2RJ+In4O6az/tl4c8g4/2mve2LMyCdp7wcmm+FyDlO02ub5kB fk6EwwHZAtjNqzY9GjAFGyzp4x9vl0Ay94yHPZsJl77pQcpkOdAer2bo6k+A oMabkU98FTA/XbP7vuwEZMVpxf6RroA/G69ncy+ZgOZDKj+d9ldA4Cfjcpn6 cVBrEgvYkFQBaJ10sZHlOPQ3MHKKdCsh8/ABdeszY3CgOlvwa9A70L8QFnwk fwTWlAj3LVmCwDpKYf0m30FwiP1jMyyBYLZ9+Lyp9SBkuo801asjMMlUVAzb MQjq4uXlt48jMP/d4qW6dBD2Bbo8EC9EoH14qCc09TfoPLLNSdT8AA0BW7lE Pg+Aq1OOY27fB/hYPlQ2fKEPSgcNv3zXr4HxJH7dpc+7oMMkghV3oAZWxpY9 rg3pgun8KolDVjVQduKKyzOrLtC9qufa6FkDxQSv+4+FTigT1Zz+cK8GbnEL r3xl1QnlRlLri8ZrQL6j4fRFng54l8MMSEz8CPa9Uc2nw1qhxvu/dXZELaSs 2r7iacpXKJ44c8ZpuhYUTir5VR/9ClleOytPctVBONcCS0D0K0Sd6rT3FauD 9Mqt6arxX8DETTjtun4d8Hmtbrga3QTf7aLW5sfWgdviQphF2CfoMTkrvnRz PQxfD+V+kFAHU8q7hV6dbYDgTsWzTy3fAffcy9XrNnwGrg8nWPMxxkiH41Jq nf8FerZdvhO88S36ErntW73qd9gxorfSLroOySVQ557Tf4DE5X1LwlW+I+pM f1+7VgtQagWDmjJbURal8rNgfCuIKUhaK+R2Ir5A8SVjf1ohY3fjG/uWLiQo 84wxPNwGzPQdWybMfqHY029OPVbqgLRz8+fhQh+a3vNy2CusEwa5ROK0OwbQ Be3aEomPXTD584Tu0b2DqD+/9nazfDd0O+ZqZJcOoT/ebQ83Bf2CRwZbsw+J jqATEjsr0kd+wXGR/Yccro4gtb28i6cqe6DqbW6Tm9koOpAp7/l6TR90m135 XRY3hi7JOCv8duiHsprD5akF40idOMrfeXgA1ofeIC2rJ1B4HdPR89cAkDYK e5xeUpCoEJOvdn4AZCdI8R39FMSDHhYoPvoNenV5D2QGqOjMtsqfKw4OQqyd k6M0QaCXpm6Pq6YHgbvfsG9gnIa2/v8ZgrcfFHvOGNDRFFVq9WjSEOhZSsqG NtHRG+sDSxONhsEpq1hQ/y0DhZlEZZSMDkOwYYv5byMmmphteR6mOgLX+4Ua mL5MJN9r1vU0agSoMpVpwc+YaKduZKKk9ih03E3M2rSKhRxkv88taR0FhaO+ i59PsdD507Zr9nWPQoSSi2eiNwtNfY4bPBcxBq+Cui1GqlkohcfpgpXSOJCr hW52r2YjmFC47Yrvqbf+xStMJTYS7XuTyV07Dk5OriErjrPRspAIG73zE1Bm fevl3f/YqIRFzKGACRC5OTUbmc5G7qeOZxgHTsAz5ZhPlzLYqNZCk2J9dQLW 5OqQJ56wUaRCb5hv1AR8DNJyk81mo7TUf88EHDhgVH8jj424RZlLBGsmgN8x u5Onko24njsVDIpQ4Kgkf6VHBxvVE52+GeIUMD/FddK0k41itSw1HNZS8Hp8 3dW72GhNmeGrdhkKSHVs9Gf+ZCONho0vGzdSQCtMOf9cLxs5jLBz8g0o8NNR zcJymI3K5W+kB3lTgPOixjKBxUahHlxOumcpoMIOcnZis5HR8ysyk34U0Fa0 Klcj2eiHls+jsxcpIOMRZ1E7yUbjYJnmEk6BU+qec8QMG0k4rUsyTqIA3/FN 3esW8XrHC/VeluP/e80QzuUlkX9aQZxIDQXadtV6EytI9HYh7UZNLQWuqUe9 z1hJogWn6Aj/BgqMp9RaW/GT6Iai48WWLxSQcCwzeSNAokd5Kx3vdVLA31jO 2F+IRHVVHuoiNAo8GJqRbBQj0dqhdU3Ca6nQ2xhm2y9LIsf9vHXVUlQoqQLh IDkSZT5jV52XoQLPn98LoutJpO7zqahZgQomhu6e++VJtHcqMO3uZipMrjxy OV2RRN68LaeFDakwPWy9uHEjid6rxfAJ+1Lh+H5lwYdaJNJpW/P13jkqNM79 3imyhUSFwc/uigVQIW3f9JMY7Myv9VJrL1Nhx/hX6QBtEsX4Ldssd40KK+Xv lBhsI5FV8TXLzUlUGC9SGS7QJVHTCRGJghQqBEtx+UrtIJERT2a31kMq9AW5 bIzE1j1afXLbYyqkjCupH9UjkfQM5+KuF1RIfnjZkbaTRC8OHR8PKqWCv+fX 2AZ9Eo3tDEkzrcLjPSjNU7tJ5DIk4Nz0gQqXV3WJWRuQqPv2I8XDH6ngNB4T UoD9pacy70gjFU5EOr33ABIVhc5X2bZQwSXv42DDHhIF11wa8hilgvv91evd DEk05c2bOzZOBe3HzZ6vsX1Fk31OU6lQ9jvoEwfb1b10yodJBUakR2eqEYmM l0/xXpinwrDQed6P+0kkbOavfk2QANltTdwTB0j0uFqIf6cwAQGfWDQNExJp 6b2aYIkSYP5NvDIA23zjeI6rJAE/V1Cn57BvLXeS36tEQGbAmfZZUxJJhv7h zCoTMOSh/nq7GYlyp1L6CjcR8COw3+M8dsNw68P1mgTsDvA9OoLN89FUgmsn AbeHptXQQRLd3zk2+VafgJRXsvlsbIWiyFY/IEBFJIujdIhEe56ghH4jApJ3 tPBHY39f6+iXfIDA53P+Ywm2U8L8YQszAr60hRoPYoeEbedHFgTECUZk6x0m kcBMy0SgFQEDbd5hJ7Ef+Z5r1DhKQONEjGwsdoXjy6h0ewKsA2Sf/cSe3iXP FepBAE/7/nce5iSKKq7q2+5FQNexoLQobDE1h/c0bwL6tq7dmoW9VSo5yPEc AVkhM3G92DV3t9mJBxDAV+hxeBbbakWL7teLBNiUJ1ULW5Do3KzAlP5VAnKu Xa3Zg83xe9E6GYLnh+vJMez4sQNFeeEEECv+RnpjyziPJLhfJ6Dlt/KZEOy8 jmt+0tEE3BIw/BuPvct8vXlbDAHHqN/0MrA/171Xj71NwGydkVw+tv3uE/xG 8Tg+1evyKrEnSmYn/iQQ8KGroa8Bu9vyQ3rhfQKWe0o/b8Hmy9r67EwSARGa zpo92MnrmqMUUwno1FEwG8ZWvu/r/ushAW7tp3mo2G9WChjeTyegKCPVgYlt dO25/MEnOD51wpaT2K1zxlxLswgIXaE5MI3tdn64ryIHu9iMbxabNR7x3v85 Hn+zomEGO9xF7pFqHgGqdT+k/41f3fUuaDCfgNFlPctI7AwLe7u01wTUmqpE 0LE1GmZ0rUoIyB+Yix3HrjJ4ILHyLQEFrskqv7EPl2pPVZfjeGeARRd2z+Yf rVfeEdDxnwb3t3/vowqHLEUEBNnqi3z8N7/n1spx1Xi/2V7dpf/W6/ngu0Qt AcHndtk9/xc/pc7Lj+sJ+NWoG5f2bz8G1yqofiIgfqjvwq1/+/vYvqm4iYDA +HzBK9jT6/pkGn7g8yFeYGWFXfFTruFIKz4PlU1z+tghya7nutsJcDw/fkgZ m0d0pIbWTUDS53bmJD4/DT+UfS71EnB56pJBN/ateC/xJQMEmKm/31KFLbyS 8BQbIeCwcT73Ney2hs3C6WME6Giv7nXFTonyq1Ch4PutHHFsD7bsElJgF4OA 5rE2uTl83gertpXWsnA8aEd8WrGzgwOdzScJSLMVtMzDVp+de+06R8D+O8d6 7LAZb3adoP4h4IiLQ5gGdlFACM/FRXx/r6cWL8HWY3DZxiylwdqYyMan+D4a j/Iu5K+iQdrzunMd+H6vyDLN3rGaBndvmnpnYH9xvW1eI0KD8F2ao6ewrXsF n7SvoUH3RXdHFs4XLm3ixgvyNHgwZycyifON0j1bRpQSDTxM6WOF2GMWqSlC KjToYk1r+mD7NklTFdRpsF5VXKgP56urNYoJpjo0KLlk8C0f5zuDcA+91h00 mFc5suCEzW3wbNBhFw145opur8KOKVfdfm4PDTYbXqrzMCZRUuGW7iQzGvj0 iXlw4/zZrhUTv8aGBj9S/dPv4HxbmA5Kw040MN6avI+yl0RkEMnr6koDf6ED tyOwdWyfUXtP4vXsj1y/BrtSSKi404sGRPVn5d04v9eH9+1t8qeBpo28wwVc D365hTgXRdPg2zJu+ThcX2Rhi6HmTRps7Ff7y4vtsm5EOe82DQq/e/8Jx/Vo tPUQPTuBBhtWxFmdxfWKaSQdkpqG57PJa62mDomWq1SmhefTYDxR28IG10fT pX6hfwtp4KVyqr8A19PYfgW3oGIaxN73dV6BLZxya9OFMhpkNqjLl2rgerfC vsyzhgbCmWdMptVIpE2dbTfvoMHBWQXqKmUSXWzIK2/qogFFXLXWeAOJyp66 /GfyC6/3efuRECUS7XZodN83QINHi74XhhRIZPI1mdxOoYHrEbGz93F/ILDl cUT3HA1OzqdbcUvh/qFAR1hmkQa1Dif1QteSqNR+VvAHFx1GncRGr64hkeDy CoHrS+kQ1PTkRqAEiT447Oab4KNDyHutO264H1FYacQpEaVD3L42Umw1jo+7 Je3QJjoUvYjs7lmO93+1KJWjRgfZfp87OctwfqtsGy/SoMOC7d1aHx48P5Hj w2u30eFdkEU8fQmu78jp17ABHezFLQvqF9jIV8rnU7ANHXaPFKlW4/6tvm5z g6YtHSbHVhSZM9lI7jyjdtCODjvd/BW76Lh/a/D/YOJMh/AWgdQ+KhtpX7zy VsybDtILfollI2w08z06Oy+MDrfIY3uScD955KrJU+drdEi/3DjYg/vPXOWV T0Si6NAsczBXtp2NRJ4LRryMpoPWjb6dIm1sZB8S9+jyLToo9U+73m9mo3eq ifeNHtBhrFlzBD6zUXjUk4ieF3Qwtn2GkirYaNUlXjPXV3SQ0SP9X5bhftjr rMhoAR3cdY79rShlo+KDek8ZJXSoX1tu87mIjUaFm2u5ER0+69Qq575go4Pp XHybWumQ88bzk0UqG3XdOfXjVTsdbMVqDq5Ixv14xJcU7S463Fti4v0uEfe3 7imb9HvpULrYtE4ogY0KVbUOWozh96n0xZ2MZqNuc4vXfX/owPS2SzM4z0ZP c+uOzf+lw1Mc5GlfNtJKU5ML42LAjjWlNtt92Mg0ZKYgZhkDRHoDJlJOsVGw 4Z3mh0IMmI58Tp22Z6PB71ViNYoMUNhwoHlsLxv5VSv1Gisz4Gt8h1SyARst FN3KbtrIAPs7aN+uXWwknnRMp30zA8xvmuu4bmMjEwe67bguA47bHXKXVmaj V+MyDwUPMaCFkLUW4GWjmP+iXPrMGbBHa5WTNzderxVtQ74ltqTEfPFfFpJ+ 967wsC0DxmXVTHknWcjM6xcRbM8AK3ORWwZ0Frp150R9rBsDnJo2/07tZ6FT Rh9vO3gwYNuw1f493Sy0b07VUt2LAWu+T9Ka2lhozm3+V9NZBiz4jlDiP7GQ l04qa+UVBqSlnY3LfM1CRlSut91XGRBL0E5bvWQhucdewS9CGeDMLFfozWKh jhU7eM0iGZDjNz96NZmF9vd2SN+8wwCb68rJmUEstP6eweDxewyYtdk0TPNn oQXjnGcbHzAgnPIwiOsMC5UUXtRuTGNA70GdQB97FuKZevPjyFMGFLMGZvMM WEghUsyEN4cBmbP5P7u3s9DijuBVnbkMOJTrzd+rxkI/aUMtOS8ZIHh/4spl eRZKsC12NH7NgMSS8vQj/CzkI7BOUaKEAdKbTJQCOExkUn1tfKQU75/OU9c5 NhNxVK0Cot4x4HS4aUFnJxN195fvOIoYEG0yIDbZyESlifKLSjUMOMvfXjVT xkT3TG9+nKxlwJM3Qtee4e9V30VmTG0DA15d1RstSGQis+Lj5omfGbB7KtE2 MYyJNnh9EHX/yoAEu+EHtz2ZiEtm48+tPxgw5yz9W/kgE/U030lf2sqAcmVx n80qTFQWPXOytZ0BHuJvVKb6GMjX56LF9w4GcF81//45hoH+B1z8sG0= "]]}, Annotation[#, "Charting`Private`Tag$2800523#23"]& ], TagBox[ {RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd13k4VV0XAHClQslUZjIklZAMKcp6i1dSKRqMmTKlZCjJPLyRBpFkDolk FlKG7EhUNBoSoczuPfeee0+pjPfbfeef+/ye+zz77L323muto+DsbeG6lIuL S38JF9ffX1PXyY/Pp44bUOtWTXM4HFhmKOUzJKkNZsYr+S8scEArOzWzStII vCbKqnpmOXDg7efKu5LHgCkfUuM+zQFLl9/PEiVdwCjz9b2nUxxoMZR68iLT DX51cR+7N84BjfW7K37KnYYb2SPZl0Y4wDsclXtC+Rzs+Gi5+sdXDgxsvWIY J3kBuBE7Vvw9B5KyJZ5vsPUHzxP5R/zbOWAqWLSrMfMi5Esefd3UxoEaZocO KRcIp/zCB5Sfc+Bmqcgmc+Uw6NqVza9YwYEc0cMx1yQvw7IrZyW/3+BA8NuU lhN1l2Gkbsse1VgOnIj+tnS9bTRkulX4uf3HAf5p3/D6zBjYKFgn9DCQA5e6 ki4Rcldhj5zJWidXDpjf7vM0U74JL0+5NT3ayQHVA+sLpdpuAp+nlhdbC6+H ++zEuHs8jN7ReySvzgGH2sVH6FgCCPNfUTVT5IDo5gR1q+RbMPSmVGmcjwOR vFUbr0omQXasiN3ankVQ2XcrttInCVacG61//m4RPkV7T/W3JcEbVasam7ZF UOJWLVa/eAd8X8Nzy6eL0LqQp971KRloeaUSl9IWgf9Hso7cjTS4YPxK2tlq EVIHggwfL2ZBZ7LMXo/XC7BHxjpv8Hg2uJXJBTHQAtBsdJfzlmbD9+LEPuea BVhHBJ4qVcuBPcsC/NbdXwDv09s3cH3NgbxeieT+4AUQcSl/mL8jF2jSoQNR KgtgZX2vnMXOg59m/63TCZ0Hsv/YylypfCDub2sv85uHGHte16OG+fDFR8tN 1mMeqk55S9UkYV8Qb/xiMQ8C53ZHB+s+AFnj35YfN87Dy6gvNitCC2DdGJ/b +/dzoFkivEKGtwhEjxhX3pOYg1WcSLt968ohhd/wwMXEGdhgzpx8cb0anP1v tifa/YKAdzsh9WctSNa++/jwLQXi1cKDS5YgsAgKO9KsR0LNsGHH+13NYPlu 7EtS3yQ0e96VtiZaQDAqz3Wf3ghMK+8WLPVqg1vcFPdqsQFYOlMsJL3hDYTw fV1RIdAF2zmONUfLOuBDxpTtdsXX0HFZ+12rynt4pX3g0RfmE5BLoM8UMj9A xPQXfdQcjOi/hwa7NT7BkerBdcX2T1Aerf6NwM1OkGK+iDCxakW8F0WXTMx1 gpGRhsQr99dIQLaAHB3tgiAvP/6isffoxunHbjlKPbAj4o61r0AX+vVP8ahH +Gf4ri4QoKfRiy5otlSLveiFkeIDIXav+tFQWcv1jwp9ECn7yHHcawjNeXZl bA7qB5kfMwLSrt+RrZheXdZYP6xu2+ROH/mOtuzhWXSr/wrV3fRhnW/DaF+u gvsj8UHw8AnszXUdRQGyDorf7YZAaXlf5FjjGFIljq/6fOgbJEld/Vm+ZAJF vGSddO//BgLKs7dE10yiNYIs3pbZb+B86PCqgsOTaBnKKF+f+R32ufRckAqc Qme067/wHRiGswft58dKaKh4v3NO469hWPtD0YHrLR1p/f8ZgcF15mZf1Qg0 TZcSGk8eAaGq2sWUtwR6fHQfd5LRKEgd+vid0cNA4SbR2dXjo9A3p+aS0cxE U38+FYarjAFdU51uJU8ihQHT3vvRY6BCMUwcskikp3s5SVJzHDbFfRZb/g8L 2a17P7OkcxxcjNd+k7/PQr6nLcX39o1Dpp7e7UMFLDT9Jm7YJ3ICBIMOkvE8 bJS6zP6ChdIkMAt/DbnasxFMKV53Mp+EFIWMy+cvsNGawce5S1smIShuioor YaPloZHHdvpOQdkXk8edf9iomk3MoPNTQF5aEjc4w0YublbZxhenYJ1KX//k LBu1HN5KOxo8BSKOMwNz82x0WXEg/Fz0FAhKgpf0Egqlp/19puBBaYLfLj4K LV3DWiLQPAWt6k6N8pIU4iq0Lx8WocEHKDqvokuhVuLzuWxRGoi/EzBV2kGh Gxrm6nYSNDAoFjsju5NC4k8NS7tlabAp1Pf6an0KqbdtKn61iQa3bAZ2jhlQ yG6MelBmQIN3jvwsX2MK1SpcyQrypIFLa+CThWMUCnPlstf1okGiaLHAt+MU MioMlP3pTYPuGe/cphMU+qBxNtPLnwYjIq9Do6woNAnm6Y4ReH5Dir9mbSkk Zi+dbJyM338qJqzVmUKXJyt2FtfSQE9VXMXYi0J+6eVxIs00UOL7dqTFm0JP 5tOvNLfQgLibmHLVh0Lz9jGRfm00aFjbLmzmS6Er60/6f+qgwfDq3KwuPwpl lqw8mfiZBh2D11b2+lPoZaOrqgiDBs36T0ufBFNIYkS6XViCDvHBebw9MRQ6 +S/PyyYpOnisOn4/4gqFcguoRl9ZOui5JNqrxFJI9ezryo+KdNAcENMOvkqh PdMX02+p0eFERKuJyA0KefJ8Oi1sSAcDXetI0VsUerYlllf4HB3k383pnUmn 0PYu8beJPnTIiVyUILErQgpurT1Phxubc+T9MvD73rZKSVyiQ8TjLUX+mRSK 9V6uJhdFh4Qq6SS/LApZVEWZqyXTYal9q5phLoXabUXEylPpsMtI+0QtttGy 3D6NDDpsKgy4q36fQrrHm05p59CBJlQQLZZHIZnfHH/9IjrMv4582J9PoaKD VpNBNXTQWmmaTyug0IReaPr+RjqYzcjd1iukkOMIv0P7czqUmWib52L3Xc9c f+gFHaKeblfkK6JQx9f6kiOv6PBC+/tMJ3Zl2Gyj5Sc6XDodddq+hEIhzQEj ruN0GNv2z+1/yyk07cnzcGKSDuncG+WysM+tSTl7mk6HrOcdFdPYTi4102dZ dOB6+fn7vQoKGa+Y5rkwSwcL1y3OzEcUEjb1U40SIMCh95GQZTWFcpoEV+kJ E7DSeygzH1tjZ+kUew0BW+tD2RS22abJB06SBKjNiZJXH1Po2gp7hT1KBBhf 85EorKGQZNgc548yAb2ZZAsD++F06mDFZgLKhiu3bntCobbRzgz5rQSYcpBe NfayF/vFuPQIcJcPWFL8lEK39SZ+PtlFQNGukqAxbMXKy53eQECP+bGCdbUU +uceShgyIkC+xVE0Djs0XGcVOkxA1mykjE0dhfh/f5q6aEGAtm8g3zXszHM+ r9SPE7BXyyHrKXbdyeLoLBsCssNna4XrKfRLX4ErzJWAluMjcVXY0VWNgzoe BIie6Y7vxV67xe4Zw5MAHw0vtXlsLamUoJM+BBic3qIDDRRqvqVtLXqegDoV iUx7bAu+T7pv/QlQUdJNDcH2+cM/vSuYgF9r/fZXY3O8izp/hhIQdHjH3Fvs mxP7KksiCOjTjNYfx5Z1GEtw+Y8A61d5vAvYJT1R3jIxBIg4DzmKPKOQvpm8 WVcsjmd84F5l7Dcvn6neuE4AJVJdvAPbZrftKqObBMh0tafvx56q/jM1l0CA UM/MamvsPvPnWRW3CQj30/7hhs2bp1VwJpkAiTGPwPPYKdIfo9enEeAoxHsu DFv59jmX/gwC6NmBQ1ewH6/kN7ydhePrMtwej20UVahw4B4BMQvO25KxO2eM ubjzCHj/TlwgA9vZd3Sw7gEB+iwJxyxs9mTkM79CAvIUgjbkYEc4ymWqlBDQ 0GBq99dCvQ1Bw2UEcB7cWZqNnX3Yxjr9EQGhhk5imc/+5tPfuhbVBJi5lN9J wW40uCO28gkBX/VDw25hH6rRnG6qJYB56MW7q9hf1T50BjYQ4OXofzni73h0 4VBuREAOu/jUxb/zKzyqHNdEQEdXzBfPv+t1v/NerIWA8YXDoyf/xk/p86Wc VgI0Ug9FHcYuGZZQVHlNwK3ZpkeA7ZNj017VTkB1Bt1HHfuX9KBs2wcC9rUb pfBg132RazvSiff70sAsG+9naIqTT183Hj92YbwPe9masWZGHwEh0oHmD7Hb PiifDRgg4G2bTMcN7Gs3PUSXfMPxF+pt88YWXkm4rx0joCTxl9427K42NeGs CQKcj4eXCWKnRnvXbaQRkFLimUHg87puyQ9+fZIAzeioL/ewhxu1a1rYBHza VKEchJ0fctHB7Cc+nzF7x45gq/6ZeeQ0QwAr8FTZDL4v5GN9W/ocjtdwR3U7 duX50GX+i/i8xB1RysTeSXJZxnIzoMZsw/Yd2MbjPPNlqxnw08R60g7fT768 /fk7hBigdIB/TgG7w+m6WbMIA9z0zFz/3u+jAwL3usUZoF9nruuO7dglajyv gP//3Bt/AucHpURLMlqJARdDimUFsCcOp6UKbmSAR6UU6wXOL+faZeiKqgyQ sRy2UsEObl6fsH87A5Y56f74jvOVQYTrzs4dDHAM1HO4jr3UoGDYTp8Bzg6W c5rYsbUqOj7/MCDVVKY2pIpCyRXb+pJNGcCfQC7M4PzYrRF7U/wYAxJnJDRd cf6syAKlUXsGLO4eUU0ro9CPoB88Tk4MGLQOTVPG3m5ZQB84xQA7qVzpylIK 1QsKVn32YMCx/VePvcD5uzVicE+7HwOaPMf3vsP5vd851KEyhgFk6bV//3uA 9wu2GW69ygC/Jx4JLFxPHKXHlEuuMyD9Um2DLfZ450FmfgIDnhy2Kt6C6w/L SCY0LZ0BxrcrAh/do9CKjfXpEWXYb86HmeN6t5/bO2yhggFvWi9KZeB6eGNI 0TmoigF7XA2th3G9FE69tvnCUwa0qHWVnk7D9YzP5ql7MwNimikd22QKadL/ dJv14PUGPi18GU8h/7aS2vZeBjxnV+6fuEmhp/cd75r0MyDr1x9Ygb3b7pXL 3m8MoN2bk9yF67fJ25QfOjQGNMg3TMXges+/LSeyb4YB99/rXtoXhfuD8u3C sosM4LmaPno7gkI1Nn8EPnAxYdkY90nfcAoJrKjj/4+bCc/rA/ceCKPQc7vd vFO8TNh1UUHzJ+43FFcacarXMGFFYlixZACOj4s54+BmJhjoUc+KzuL9F1pD 52xhwhG5oDLTMzi/1XdNVqozQTtgh8/4aTw/EatRCW0msMI26Am74/qN7PtH DZhwmjslW9MJny+ps69DjjEhZSKsPA33Z60v1dq2WjKhIDGUxbKgkJwv2TJs zYRLKz9rGprj/qzN77mJAxNUk7TDeg/h+PkHPlnryQT91IfeLbjf+/0+Jr8k nAk3X2xITMT95JFgk/sOUUz4wcpYuKWD66Xyynsi0Uw4dPq86XUtCokUCkQW xzDBZRtvt4Umzu+hcZmXrjFB8bjWtjNbKdSgknTb6A4TPK/kVQ0o43wafS/y axET1G8qZwWspdDqAB5Tp1ImBP9+fl1LBPe7Hl4i4+VM+GogXDcpSKGqAzvv k9VMaDzCOGewCsdP+GPLUsSE9J/HVZNwf3wgi4t3cycTdhSVjb8l2Kg33u1D aTcTrkdL9QjScL8d2ZGq2csEX0PhRZMJNgpzSd28a4AJNndjzXO+s1GFisaB wxNM0GnS1hjsZqM+s8OPBueYcNA08dtAPRvdf/jyxOwCEyw6yXa+WjbSSN8i F85FQo6fZGzmYzbaH/q7PHY5CZzIviuZZWwUYhj/MUOQBBV9JfnFbDbi05lO kxchoSHWMU0rk42SlW2d89eS4N791tkmlY3K+Tb+KJMkwf6fmBNBCWw0/L5x bfN6EoQaA17/Dmcj7yalAWNlEjINK8eLg9lovvJafvsmEj6wxcsPBbCRaPKJ 7d1qJMyLfJ2xPMdGJnZMy0ldEri8NZ7627JR16Fj8l74O7ilaHlG9Ak2coK6 SfYuEiImTlaEmrNRkGJM4NweEpb1tA4r7mOj0knZDIGDJECfpMCGbWwUezfa cdCMBKbS9p/FKjieFowNZeYkOG/WHOFTYiOZhoaKQ5Yk1LnMqu8VY6M/PkoX ZW1ImDjFqBYXZCNTj34iBNsvr75EVoCNOjfc0GfYkRClohZbh7+vrsXbtt5w JmHM1SLe9g8LuRm9uG7nSoLpSEO+BYuF9s6omKt6kDC09UEl7yQLzTjP9rd7 kSBT0OiW1cNCHtvT2CsD8ft7LWWaylnIiM71pC8Yx6P/X5el+Swkl+MRUhRG ghhHiHqRxkKzxz7sCYokgZVp9e5XHAv18O3gMb2M969LpjM2koUqG7M7JK+Q kLTzeO6pCyx08zxP4tRVEjTDmhXOuLHQvwM9Mlfj8X7ZHZ85tY+F5BMNhq0S 8fyVNlIjOiw0b/ygYNMdEs7GXxvLVGSh3rnVXn9S8Hhxb/IW+VmousJf81U6 Cad4EqbUJ0mU4DrwO+UuCU0bFKyVS0h0RurfZ+45JFiq07bdsSOR8fuSKN37 JAxr2cHOx0z0P8hOvRM= "]]}, Annotation[#, "Charting`Private`Tag$2800523#24"]& ], TagBox[ {RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4Vd33APBbhCQiZY6QUkiForISlSFEJJIpNHxfURkicykkL5E5JJIh JFGULZlelHlIkczuPXc4SYZwf7vf+ec+n+c8d5+9195nrXW2Ormbu6ymUCjK qyiUv7+GLlMdNdOW2gel182y2Wzg1BX3+C6mBhUjiiM+y2zYl5GU9kpMD9ZV 9q6bWGSD0ae+0sdiFpBwxmZTziwbrJzn3j8UcwZnuzs8RVQ2DO6+p/tAzBOy aiiTtE42xGeI1mw75wWxxsUdjW1sMBTIP1Sd5g33XXdypLSyoZzRqs6U9gWR vBjY2sCG6BdCO8wUAkF2+cyxqjdsyNxkejdS7A6kRF9c2JLGhlufEuvOVN4B p4DD6x2S2HAmbHi13LkwsNmtcCcxng18s9eCqtLuQsmXF9nTUWy42R1/k5CO ABnVgd/iAWwwixu4YqIQDYtnEw3LzrEhhOfV9gixeDA6LXe7X5ANO0/Ehpd6 xENfhrpDCB8bOsPcp782xsNdviIPaW42yHMoFah4P4K1XDFHDy6tQMNytkp3 ZwK0hi8Z/xxfAb6ZBHXpqGQIj/S8eKFiBZIG/XRfr6TDe83BqWDzFdCRtM4e sswA6ZHwqm9GK0C12b+G50UGSBkJpascW4EthO+FF8qZsOux2quy/Svgfllj G+VbJlRX5XIaSa6AkHPx85wDWRDhVfkyd3QZzlo/KWaR2eBcbdBs/79lYH61 4M0Sz4EHP4oubHRehrt2PC6ndXNgfViQCbJdhlcX3MXL43Mgrf/1AYrJMvBf PRx2a/8zkG7O1d2uugz1oV9suAJyoWb5h4fgzBLsLRTkkuTJB8+jHTmxN5Zg HTvE9sSWYuhV/Rmxx/EPbDNjTH28Xwa5d9bzFqxbAJ/PmpD06y0Mvd+pOmn0 G0TKBIdWrUIwzRaQc30+A+Ujuq1th2ph8dUBH8keFtReeSxhTdRBkJQFtcSK gFmFwwIv3BohOt1XTS9vElYvFGyQ2NYMYhwWBTeYI6DBdig/XdQKwkYvOeve DELrHbXPDTvbQLSX37j0bC9Ix9AW8hjtkH37BqV+4RPQ5r4P9ah2Qv/Q2sle 6w+QTa1q5o/uAko/70Iv51Pg8d60avJPF2QflukNqQwBfqlc5thYNxw53KXF E5qPoi6/ds2U7wULXaZ0h1cN+n2kYOxSUB+w3FCnoV0z8txbV7b5Yz8cl2i3 HwvoQN+L6u53bB0AKRoH23KgB/250p2q6PcVZATej2Z8/YLObdaqTB//CiOn d4+m8XxFu3S4V1yrvoGO4qOCK/aD6ETW1osvRYbg6MVD5Y9vDSMfKXvZH7bf 4WIaCtQSHEFKhOW6PuNhYDyoeusbOYqC61nnL34dhn8fKqgcaxpDGwVYPHWL w/Au2vlpIf844kSpxXJpP4BiNR0e6zqB/qdW9WWt0QgoiG6ojGqaRAUGTpnV v3FcBSsidwhNo33/f41Ck5e3//XgaTRLE98wkTAKWYL3xk9rUNHr0yc44vXG QC37gIrEBRoK0g/LKJsYg3Jj4NjuRqDp+c68oJ3joFdJ+fKol0BbBw37n4aN Q3jEAzcLZzrS2n8nXmzvBAgLWQvpOzKQ7Za2hVVdEzDxodHqP20munbZSuTo wASExB2JFNFnotnmByMeIZNQztty1UKAhZI47TzN5adA2t5UfNydhQ+W7H1H sym43Zr23CGchTYOvc5aXTcFKk2jmnkNLLQmIMRC89o0MA5dltCSIFEZSSyg G9OwYfFqm6MkiZxdz2Yc956G3LMD1HApEtWZ7qaevjUNZaPDZ3qkSXRHdjDo atg0yJfGLbnKkygl+e81DYHf/62/pEyi1RtZq/hrp6FJwGCSA0hEybMrHhGi Qitq1TFwIFED0Xc1YxMVAod7f553JFGUqpmKrSgVeGRvDVxzIpHIG90XPVJU 2Pb5k1GiM4lUGncUNO2gwikj8fz+SySyHf/5rEibCj+5pJhq10j0duu9dL8r VEip0T52KoREgS4Uu/1uVEhY0/XDMJREenm+Ur/cqTD3KDZH7zaJ2lX/SXPz ooKM4tVM9TASTYFZikMwFSoWUy3WR5Bos51EwvEEKmjLfzoYF4PXO1WiWfCW CseFdz3Ym0ai6ynFD4RqqeBWpUeZTSdRxVLKvdo6KnRsMLJvyyDRkt3dkOuN VMjnsv/6PJNE9+TOe3W2UmHE68gO6ywSpRXynn/YR4U+y+ccxTkkqq92URKi U6F3vHXf7kISiY5KtAiK0uCIvf0X/zckOn+Mu/6DOA34M7Yla74lUVbuz+pr UjTw1gp3mMVW+ue/0g5ZGgxLKXJcqSKRzqx3SqwyDc5b1YaeqCbRFe7Oy4K6 NKgtuVzd+ZFE73eF8whepUENZ5Kv/GcSaXSLfHroQYPgm/Uq5dgl/rmxwjdo wM1D/Drehp/3qUFc9CYN8lnbX7q0kyjcfY2ydCh+np1yd2InicxfhZopJ9Dg uujnzZ97SdRyTmhzcRINjLzMg0714fhzZg2optJAQE+f6MDeb/nhglomDdpX 7W/v6CeR5Bzb62A+DdK3JT2vHyBR/smzU37lNDAzrY7mHSTRpFZAikE1DZSq 9Qf8h0jkMMpn31JDg50TlnJM7IH7aXLGH2mgojDq5PCdRK3fqgpPNdEgfKr5 AwyTqDRwsdqqkwatEg/GyB8k8q/1GXWZoMGhVTsmZMdJNHuF+/nkFA24fpfJ 38G+ujHxn8s0GhyNUzYcw3Z0Lp/9h0UDfc73x55MkOg41yy35yINeJ9M/Fg/ RSJBw+tKofwEUJ/bvSuhkijzg8A6LUECNtQdD+eikUhV88U0uRHff7J21gbb ZMfUM0cxAhYHdhWwsSO57LbqyBPAYX/X/gCdRGKBf9jzCgQECa9w38Z+Pps0 VKJIwMPwTcdasRvHulJldhMgfrLR24ZBIs6PBpspWgREnKRHujBJFKc1+avi EAF+1/YUZGPLlt7pcgcCWDKrTo9gH3mCYr7rEeC23nOvNYtEbaLn3RNPEOBt 9Mz1IbZdzKKxqSEBvSshEs3YAUHq65ApAcI7FSnqJIn45jqnvc0JCL/orHQJ O+2qR5OKJQE1UTs6k7ErzxeEpdsQEOW4EjqP/fvgVkqgCwFaw/3Hnv4kUdir 6iH1S3h8Mw/eZmzhXbbv6VcIkEm4p8nE3iee6Hfeg4ALTufb1GZIVBurZr3p BgF8pvJ7LbHN13bu/+RFQP/bW3M3sD3m+WYP3SIgn/HmSSE22z2/61cAAd0b QkIbsKMnT5QWBhNwTSf9/RC2lP14jPNtvB8Gs6dmsQt7Q90l7xJQ9MNFi/cX iQ6ayJh0hxNw9HGzjxR2c/17paj7BPAOznPtxrY5fG6dXjQBlVU149rY02Xz 039i8P4sEYLG2ANmNeklcQQYL9b4WWPzZO/L/V8CXv+/oQbO2IkSHWFyyQR4 rnc95YatEHfV+WsqAV0yWame2K95+XTj0vF5+DC+ww9bLzRvq9ETvD7JgdkA 7K6F4xSObAJOhclSgrGdro0NVT4jYNrG9thfk1Mh76/n4fM3t+VjIHawg3Ta zkICWhP/eN/C3tD/zm+kCMfTMMDOGzvD1MY65SUBb7p2+Lj/+ptv5/abl+Hx H/tXu2JXaz/azFtBwKFU1h5bbOPyvbMf3hKQqfH7syn2N+X2Lt93BHxSn3+o 83c8mmAAByIg8vDr1L1/55d3WuHBBwL0EhCH7N/1XnzUtrmOACExepPA3/jJ 993MbCBA8iT/9J+/+zEiKrvzPwJMTzEcJ/7ub6ZNy6sWAr58Nt/Thv1bYkiq sR3/XyS7ORW78ot046ku/DxVSkwQdkCio8dADwFeh1CWIzbnxvFa+gABaiuc uTLYje0K//gMEvBRrTVuGZ+3yOhLm1YNEzCi5lPXjy3IS1wUHsfrUSqfjMDu blQWTJ8k4LKqdY89dlKYe+V2KgHlk8tL+7C3rJrhO8gkYFBPjtWLz/tItVp5 HYnPW15geQ52jr+3vckvArT5YwuvYyvNL7x0XCAgb1pPihub+frgOdofAjpq Ix5+xu9b6Y0ATq8VAhKVWpXisTWZFKtwDjpoxB6pF8M+PsG9VLSeDmV/KPv5 8fu8Ntsg58AGOpSoBIY14HzQ6njfpFaIDivsLSP+2KcH+Z/0iNBh7HHD21Gc Pxy6Nx1f2kqHGY3iqGSCRPIPrZhh8nQwfnT7tw72pGlyksB2OjRkxFhO4fx0 tUWSJqtEhy2v9k2oYN+qlYsx0KADl1PqTNY0ibSDXTS7DtChs+96nhb2au3c EduDdAj8pqPZjvNj+Nud6h5H6OBw+UL/r0kSJZTsGUgwpIOfVvILOZxPe1TD o0Us6BDyNEr18BiuP+kgP2ZHhyJRfkvhERLN+M1wOzri+TO7CyJx/tawyqUN XqBD9UDB6xWc36sEBF71XaJDPL9o53ec/xuCh3RartPhudBERRiuH1+dAuxL 79Ihz0bR2hbXmy2wR3d3BB14IyZ7C3A9cpAYVyi8T4c6mj+ax/VrouskIyeG DuLr/7yL7CERS08yIDmFDvWznP3RuN5xba9KCS6iw7hjQINQK4kMONwDl0vo 8PCDmZtGC+5nvss6+b2iw9nY+9usmvF5SopU9HxDhyR+ouTfJlzv1tq8uVhL hzPHDwR8qyPRXtp8j0kvHWpUPMeH3pHIq7HwbUs/HdRsKnzacT1/89Thsf5X OhzMO5dfXUmiw7ZNzkeH6VBq5tseg/sD/U+JM+pUvJ5ce411ZTg/78kMGVig Q9CV1xUuuJ84X6whKLVCB/9qStapfBKV28zzt1MYIEsnBYjnJOLnquS7zcGA 6/5r+0NzSVRje5hnmocBWoanj2Rl4/rBq8cu28gA5123xp/hfmfC2Yx+UhF7 4/i2yli8/xs20ti7GODfwn+QE/dLiVXdU6UqDJh/uvuFfjSen9DZMVE1Bhxt dbaticT1Hdl9HdNmgMdFzcpLuB+7Kv7Pf/4WDKgJcr0ReQPvX71y424rBty0 6b/ugfs76WvMuhFrBoTPjTubuuP+rfF6jb49A+SquF7OXcHx8/KtEL7CAHla XzED95NzbXdzCoMYILr0NMvahESnbuk/tQ9lgMmxhyQywvVUgfeJUBgDFG6P r5MyIJFQHn9IwV0GRDT2moWdwPk94EHazUg8362zZKUuid7tjI/Te8SA5ML5 c8EHcD4NexLyLZ8B6mcWW1bLkGi9D7eh4wsGuO5+zPsb988pl9yEJooZ4KBQ oTwkRqJXRppPmWUMKB+MUojaiOMn2FG3GjGgt/NlgBUX7ic59j+49wHH465p BHU1rl+/0iz56higKpYHHmwWEu2/NLHpPwa8TO61NJ9nIaN0Co9iFwM4TxaR rtMs1P+va/uLHgYE9d3YGzbOQs4hrUl7+xlwJrSLM+4HCwU6JykeGmRAvqGn 560vLFSyU9XIdJIBImOUUo8mFtpcYR/t9YcBZ4PWO53LYqEBE9OXQ9ji23hv hj5hoafP688sLjOAPyh5s+JjFlJN2SUdRGGCyMLjkoFEFjIImCsOX8OEIt7p prEoFvLX/bcjVYAJ8Q2bcty8WGit+myyjBATNkf08qvh75MEhXNOOcJMGPFx +tVxiYWK126fKRJjAkvu8r7751hopK1auFaOCZLmEdtztVnI/YP84HEFJjSv of8e1GChpdLInJYdTKAlinR3qrDQpoQzGj3K+P4G3U8/pFgo6967FWtVJrzh +ZzCFGYhFV/ZxqG9TKh6Yh6RtY6F9G0ZVlP7mSCo0nrsGZOJuo0tZNy0mPBx vjLOc4CJHKFyijzEhMS1p9X31DERQ1XmpTcwQdnyl9ubQibyk73r+0eHCcSW TzODcUzELUzoBOsxYSbF9eNlXyaKX2POu+YEE27Yvzuy8TwTycxVdEYYMGEo etjJF3/PvZiSSuU/yQSDCD67TVJMFP44zGHIhAlsSbFL0TMM5GxO31Zkhucz rCvV+5GBjnBb0gIsmPDMRLcqOZKBJN+9KzG2YsLNR3e0y4CB5j3kvaVsmCBj e6i8pZyOfC7re7hgf1PaceFnLB39H+gBWE4= "]]}, Annotation[#, "Charting`Private`Tag$2800523#25"]& ], TagBox[ {RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1nlcTG8XAPBUKkmL0qakJKQSpSQ5CJElFdpXhRYtFIq0ENkS7Ys2pdKi XwtaH5JCoZW0a2/m3js3tFHN+3jvP/P5fmbuPPc5z7nnHHlHTxNnTg4ODulF HBz/Pg2dx5pfj5/YaSW3dJLNZgO3vrRXn5QmSDQ3ZPvNs0EjJS6pWGovaEts VyL/sOHQp29Fj6WOw2yh6bU3k2wwc5queiTlBHdK7z6VY7KhZ9Mt/ftSPtBj LMpX1MaG1BVGN+9I3YBtB3xWbXnChiufYmtPlt+A6p+LC4ZT2HAytJ9zjVUo VImKS0QmsUFg0juwIukmWHAl+HVFs+FyW9RlQu42mD6Vf6wQxgbjyE7Xo0rh oFvqZXPXjQ3BfMXrbktFgX2PgGaTKhuUDR6GFXlFwbSC7SuXDWxoCfUc76qP guFrYtpzimxQ5FLJVbsYDTwjqqoCMmyom89Qa2uJAYtjd3Z1LMHr/4rZKncv HsRZn/atGVqAuB5//dKFZLikxf9fXOQCmFukPacnMiAsuXJlZe88sLqO86dL Z4LfDcJD9Ps83LTlczbVz4Qdc+oOzq3zUHzKU/pFVCbYWOzaPFs/D4IeeqFX tJ9C2uidof7CeXgX8t2SJyALurK0moqD52FLngiPDN8zYDpyeoXIzcNSdrC1 warnMMTpNpx5eA7WGlNjb++WwO036z9EXPsDlz7rQNzvMsgn8lhfjGdAokSk d9EiBI83hr/12jAFLwb0G7/sqAH6pHn8h5pfUOP6eKUFUQuON5Zbhp2ZgEkl PaH8c/WgYuZ973gQBZyzucIr134EO/bpbUcXxkGLbf/CtKARhIIVN678MwyN NzQ/1yl/gauck34n9QZALoI5m0M1wck/r9eGt3cDc7qvt129Bd4HfNhRpPAV MhgVHwXDW2FszZEqt2efge/iikWjf1vBh0dNlDv3IwjKZrGGhtogu9tyw171 GrjnUno6VfErNG2NLz2zNh+mduUOnQ38Bqndwi4d1snIZ0ttifjbDggbaYgt mi9HfQW1d5vlO0GmarceYV2P/rq2JW7w7wLDTqGUNdubkJX49vLk4S4IK1Hp sY5oRht38y6cruiGk7ncPRo6bcggXf7MfxK90LkaPOqMOtAlWTuFH9Z9kOz4 7XM2owupECeWfjvSD0OeD2nTvX0o6B1tc6arHwoq75ew+H8gUSGar/ZPP4yL vE3otvyBuFHi8zVJP4Atovgupn8AuWlWfF9yaADeP2SmsryGUO5Bx9TqqQEI sVkh1js0jDT+fw3C0IK8EZ/DCJpkSguPxAyCTV3+cIPqKCo1NeCK2jsE2dWu P1ICx1DggdCUkpEh8Fz9oaMqZxyNz7TkBCoPg/X1QN1UOQaS7zHseBI6DOfM J5Rlqhlou/aNKKktI1Dxn1K6SQcTWa/6MruodQQ0kmai6c8E8nYxk9jTOQLU bo1nBt8JNPnx/oBX8CiUxuWUlNSTKI7b1sdEcQx2ZD2uG3tMIRhXuOtgPAbh 30/oyrVRSLS3NJ2zdgyWpbo0LbFlocUBwcd1vMfhlmW6xiUBGpVMELPowjh4 Rag/rFpGI6fT5in7L45D3h4NfS4hGtUabWKYXhmH6gbfJ/dEaHRDoSfQI3Qc rF2mD8eK0ygh/t81DnIelMCt1TTiFKUXCdaMg/PXjd20Bo04cmyfDyxnwI5P J3qjzWlUR3zzSFnBgBqlWyfrLGh0T91YzVqSAalWi4lJSxpJvNLPb5dlgHt+ r7uJDY3U6tfnvl/PAM2tUS85HGlkPfzzacFOBlzyaPqz2Y1GZfK3kv1dGbD7 q63F4FUaXXPmsNU+x4AQnxseUwE02pvjJ/vbE9+/mfsBXyCNmtTdk875MqBt NIq1IZhGY2CcYB/EALrvhKxDKI3EbVfG7I9hgK5WSULqfbzfsUKd3DIGPFVK +mWRQKPzCc/vL69hQHb4LRu7xzR6OZdwq6aWAZYbPdYfTabRnO3N4PP1DCgI OvJTN4VGt9bY+LY0MmBvjGCQWBqNkvL4bR59Y8D9UwseZRk0elftrLKcZMDH osCJ5lwaSQ6ubBCRZEKhnOmsdhmNbPbxvnsjzYSiyNUKi8tplJ71s9pblgm7 vMXUm7FV3D8UNSswgceledq5kka7Jy8mPFRlwoLzhEwIopErb4uLiD4TatRf MK6/o1HVxjA+EQ8mjG1wTXraRCOtNolPj7yY8KK/wFC/mUaFV7Meil1gwn6t opFe7PRPddKSl5lge2Xn0PJWGoV5LlaVC2HCVJRI17l2GpkUhxirxjBByWmy l/pOowar5eLP45jwzGftlF8njj93eqd6IhOehrszubpopH3izSnNVCacPirm LtZNI5lptq/uMyboPV+fva6XRs8Om4/5v2CCW91Lw/B+Go1uD0g4WM0EyYj7 EuIDNLIfFLBreM2ESr7m8HDszrtJa468ZcIr9bstiwdp1NhdkXfsPRPaDheU 09hF1/5Um7UwweC8FvFymEZXay4NOo8wIebo1df84zSadOXNHh1jQu2vYXdP bA/RWHcXJhN26rU2t2A7OL2YdKeZkHevH0UzaLSfZ5LX5w8Tog4iHgGCRiKG 51VCBAmItH+3uIyiUeoboaXbRQgQTuHUEWLRSF0nf3xClIA5frumU9hH1489 dZAiYLzy2Ro+mkZ3eGzldysSsDZ/TlFvgkZS1/6yZ5QI+DrzZvdN7OzJuN7C DQTkPowu+oRdP9SauHoTAYPvF4WZ/aQR99uD4hzbCcgL5qw7+YtGkdtHf7/c QYCtobfBI2yFohutnkDAWEz80kbsXWkoom8vAUER3Kbbf9Poi6SNZ6wBAV7f njd7YNtG/DliZEjAQv7w7TTsgMCtS5ER/v/7wY8XTdJIYLpl/KIJAdIVq3+r YSd5eL1XO0HAUHSlvyV2uU1uaLIlAWH7JQXzsA+2H3A6aUPAaZm+FS3YHYdH 9gjaE3Dbu1B/CntKV57jmjMBJhbbeHWmaBRaXN279SwBI8OvY82wxTZaV5Gu BAiUTOv7YGekzyZmniPgiqvmkgfYGtKx/jZeeL+P6oeysGsealqsuEAAdfVP azW2yZIW7U++eH/rhdpasX8EeYqHXiagTXHXwAi214zA5I4rBLy49PrvNDbb 81nr7wACugMrZHmnaRQ+alCUF0TAlo7j+8SwZe2GI5yuE7B+e7anHHbe1xBP mZt4P3Yf4tdj6x5dfbQtjICywbevN2F/fFelcu8uAccVE39oYlvqWS3dG07A dnnDWW3s8ZKZ8b8RBPy2esutg91p/Dq5MBKfj7gc5zZsvgyNLLcYAlYZFzP+ 3R+7sjl0TTwB9mcHq//9v1Kkh1NXIgE6m4/5/1u/lF9APzKZAOtSJPXv+faG 5MgfSiPgfAEVL4rdOrufgyuDgGz7iOnF2I7eQ73lTwnw8zm6aQrvf2IsuOp8 Dj7vL+/1hrCD7OWSlPMIiDgXLdeELdxR6T9QgM9La1dzGXaKkaVFwn8EPGo3 NEqb+levp7VNSgjgi1CJuYldvTNanP8lAaaSJuku2N2qTa1+lQQUXB7+u/7f /UyRAC6E41HnVMyL7ZhjqnT/DQGa4c3uQzg/xhW/XU6tI4CIEP8ei503IKmg /IGAWuFnoR7YXqmWDcUNBLw6krZO/18+reyVrW8ioD+jcecIzt/y73L1x1oJ 8Bn2zi/5l8+xDl6d7fj5B6y5g7G5RYdryE4CPIb8bUSxRfiJM2LDBKjzdFut wu9LW72qSPIoAf7T07ld+H2LC/UsX8cgQE1D530M9qpFvwR0WQQ08B45yYOt MjP7n8MsAcFBUrYf8fvNKtW1Yv7F52kqkOmLXXQhgNt3gYAD0hrxq7B1WBxm YVwkfP718rILrg/7R3jnCpaR0GH9O3mApNGSjIOZ24RJUMrS7PTHbnS4e7Rm OQlrJgNShbFNewTT2iVIuE3xVGriemTftmL/nDwJx6qi8mxxvVJ8ZMYKVSQh SHFt9QCuZ6NG8XFC60jg7OrWdPpX7xpkmAoqJBSWxurZjdHoSs2aiINaJHwb UN64dYRGO4OcdVq3kVAqZtX+BNdPzp1ZA9a6JMTYXS8Xwg4rU97qtYuEj3Ha cn243sYUbu6MMSQh/RH7udUPGrWrh4VLHCdBJPrI22pc3wuTQXHIlgQ6OSOq DveDX/6/eB0cSICZNnIJtpZZFrPnFAkTiSf0DHH/qBASKv52lgRrDfeMNx14 fgjq3d1wnoQL8cLNd3D/6XIMsCu6SUImc0wr6DM+D9isv+k2Cefp2qgHn3A8 Vg4r5d3FzzOr75XYSKOR1sNUZgQJlSLXArI/0ojeKxMQn0CCinX1ZEwdjXjW VSQEFZDwc2r0b2UVrl9cntfmC0l4tVvsywPcX+/1KTj6F+P4zSwE21bgfIm7 s8HnFQkurdPmrFe4ny2xfHWmhoRT5/Wu9hTTaAtzpv3oVxK0ggyP9WfTyLc+ r6yhgwRuKWEdtywavXpi//hAF47PkrUqE5k00rN+77SnHz//6fwJMp1GBz7F /trKIOFykt+GnCRcfzenBnfOkrCQlrV14SGeD55ricgu4PPzUwsQf0CjF5Yz gk0cFPy0y3FUwPOLIE+5wHUuCm4nai9bd5dGr631+Mb5KNhS8UJX+hbuD/x7 2SWiFESQkTEZ12jkX7p4/ow4BUkX5fdcwPNUq339H2kpCkYyTAp1/PE89NJw KmgVBVGCQ7vyfXE8nYzJwxso8NaTGFN2x/kiLMpkb6RA54yoc7ELrlcVbWNF ahSEcxXZbDmD97PcfEhSkwKjC07coniee4Zsu4Z2UiB84PpjCzOcj9LuH64e p4An1MbmA+Dzfqdav8mMAnHZrzdSdtBIzptVO2BBQZFB7YGzOnieqz//+oAd BeVf1IybtuB4+/q9FHOloLDlih6tiPvrat3SencKLs7YaRvL02iwYa7I35MC qiK5LE2WRlEKQQX9PhScbh31EsLz7PSXm5l5gRSYysz8FeSh0bErB57YhVCQ fcM8r2cR7sdK/GnLQylYHNv7Qe0vCy3PEQzOvYnjm5vTMTPJQpYB95Mu36Gg z09S9tE4C1UqR0XujabgkthdHdlaFhL7euLhdCwFVcq39+0sZ6FzwRIPniVQ UOHAeWBdIQut6ki4I5xKgdut2jKDRBYKCk0L7n5GgYyJ9XNfDxZadonX0CGf gstBGUoWp1go4ey55SPPKdB/I9k4ZcZCxYd0nrBKKBjd1+htsouFdumluPm8 xOuJPI7g02ShRrXFmrNlFPC79S12WcdCIyLNtZyIglKOqrdiy1joPJf2/Vtv KDjc1JJ5nE0h9u+kEwK1FDBys8bWTVBIsuPsyIoPFFxQUZZxbaXQoWQOvg2t FBhWhJQdfkihjgenm/LbKaghM79KBVLIKbgxbksH/n5zhq20O4WuOcVt2NGD 18u0c7XQpxD/yYWJ130UmPtv7LNRpVCsgVP5vgGcfxoVsavEKVSorH7IaJSC Oc1JMa5BEunJxIi2jePf1wyYRteR6OOyuS5zgoJeevZ8YRaJTrIdMnooHJ/N hEVxKIkG6Xp3xwkK98uyNzl2JPIaUN06+ouCoMtJNWwNEs21Rs67TVHA12Y1 +4pNoNvvZt/RMxQUJAlHxVUQSPylXbjvX2yjrR239xDIKJFv/1fsdPPTFiuW Eeh/ExPM+Q== "]]}, Annotation[#, "Charting`Private`Tag$2800523#26"]& ], TagBox[ {RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8Vdv7B3AaDAlJZZ5FaKBQiCcpocyKMotrzJQyZahQESndCJdIGRJl aNDNQoZSypg6hmQ+Z091S2bnt7+//c95vV/nnL3W2vtZn7WWnEeQjdcqDg4O QU4Ojv99mnlNdzUwjxsEyfDNsNlsWGMkHvxNTBOIpE/5Ucts2JOflVstdgj+ U9Ve9XOBDUc7+qv+EbODtV6ryc4ZNth7zr6+JeYJy/Kip50xNgztumKUKhYG ioJdjJI+NtzbbJmULJYAn5fPRvEVsyG6I7P5RF0CvLn81Hf5PhtOJI6sUnBM hJ5RTVHsHhvWz4TEvcpNguL5HzUvs9kQ0Xs7Ape5Brd3wqJCGhusMxh+Fkpp EKj2VntHGBsu8lQrXxO7DV9P5i5v0WeD6pGbV6uCb8Me9d5KTR02dCcGMQfa bsN/ilsvmGuxQXH19kc7z/8N/FuqvIN3sKF1uWhnb/cdKDrx9VG0FN3+rzta MtfvAlKOXVW6tAJZQ1FGtSt5kBFUUuzzfAUcThZU/vhZBL3evBu+SK8ANWC3 rlD8AZBIfre0+AokufB42Ro9APRA7Yzb5hWoPh0k/uz2A9japKv1lW8FBAL1 E6P3PgRBM/UDuXPL0HLp6ymumGL4ezjuu2/XMuwuF+KS5CkDVbumQfX4ZeBj X3Q6Il0JtlybFEa7l2CrNTn9JqUG7LOzKabDIoR/1IGs3y/B9PuZAuMb8yBS IzTMyYkg0mCuq7lpFp6NGn34tL8JsliRC4znM9Dk94/ESbwZZL88/blY+gtm lPQFH59pg+kDUwEHXv+EVfOPNkhsbYeBcaqYdKBAm+32zLbiA9ztau3Qz8Dg Q4Lmx1bVT7CyOm0+bmkKZNKx+VKyEw7rhcu37R8HbPbbcJ96Nzjy6dmfGxuB ItardoG0Hjjgfv+zxQADeM5v5pxa7IHBvxYaktu/gIBUMTU+3gtX9SWM5316 4bpv7V/3FD+D1ZM9rYY+HfDnwKNxn7h+kG14OcH9uBHCdjfXbHnzBdKZp4+7 7X8M3yqaU7rkGBDfjPbtu5mNFv16c1SiBqCBy1XDw6kOOW7RrcubGIC17Te7 rEUbkJoh98pfrwbBgbv3S+14CzpSKOf9VGQYHIQCbrzv/4jCpVzlvzt9g2Pv doKBew/ajh/n6zcfgapoPpXNQv0ovuWHs/fACDBuuH3y3s5AwoI/eJoXRkC9 g3f47iADrUE5lQq536He3+BE8b5h5K/56ivv0VFQ67DQt/o8gh6Zetyr/zMK xzNH8peCR9Ge/7/GoIJM/iWwMIpmMPENk3fGwDbM019icAzV2h5ZffvQOPz2 vvhuxGoCxZkk5tdMjoOv/8KmnLuTiDnXXRqnOgFme2SbLkhMIbkhsy/3Eydg 0DUPibVPId29CbfFdk+CnONs2QsOJnKS/jTP2TMJOj6vF/sFWSjE117kIGMS Qur4eXdLsNBMe+po8MUpsOrmS/lPFkNZa1zCbBSnYe3h48XVfDgCpnyKu/U0 nLSczVgyxpHwcG3hquZp+HyuMeTjEI7Wxly00wlhQufxlH0JpQSq+YnPo7NM CNoWPW9aTiDPvxzyjc8zgci8pS1QSaBmy10s22gm+Dy+KH+rhkAJ8kNxgYlM SK5TqbiCCJR9938XE3KNo9Sl+wi0SvgHp0ATE6iGPRrAJhBHqUvl6EYWFIo6 uqZakKgV7w/M38wCM86uj9LWJLqubr3TSZQF1z6J6lTYkkjkhdHjPikWOMts mG91INHOtm2P3m5jATu2cdWIB4mcJv57WGHAAuufM1sqz5PopdyVvCg/FiRi 7NvPc0kU68XhsvcMC0QP+jaszSfRodJIqd9BLJB8VPvSuoBEneoBuWfOsUD8 Xbng2AMSTYN1tls8CwKOeEtiFSTa4iJxx/gOCxA5a3qjgUQJ0090Hr1kQeqV wvFHAyQKza5M3djEAtOyb18kRkn0fCn7SlMz3b9w1maRcRItuSRdDG1jgSwn viI4SaIrCs7nuj+wQNPQqmOBSaLc8nXOt/rp8ZqDUs1PErXUe23fSLBgkDNf qIaDQqJjEu+FRDHY39FizJCkkPNh7pZGcQwqivq2XJGmUGHxf/UhUhiYBRpa ashSaHvAu6oueQxmIzOoGAUKGc6cz765A4Ndi19LZ1Uo5Mfd7StkhMGoJqPL T5tCr9Wu8ggFYiDupqatb04h7V6RjlvBGLhVbtaNtqDQkwvFNzedxWBwqP7J M0u6vY5WcdEIDGCbIr7VhkJXg9bukLmEgSw/y2biBIVsqi9Z77iDwRQjL2XC lULvHTduqczCwEN7W9y8G4UOrSlkqOdgsOgGdes8KLT3eONpzXsYHPOPWlT0 pJDkLPucXhkGDqwQ+30+FCo75jAd9QyDSM+HYiMBFJrSjck2rcfAx4h41x9E Ibex9a7vGzBwjjT4UB9MIUZKroL5GwzE2LnjhSEU+jD4qtzqLQaqoUpmHmcp VBW7UG/fTbdXq3Xt9XkKqSknX/7ai8GZ8h+D18MpVPRJzMSxH4OrBzXVTkZQ KFNWp8tlEIM312dLpiMpdKEpfMxrEgP2yGLT6AUKzfhxl0xNY5Aj9CbhbgyF AoUzA3wxDD6vClMwj6WQu+ezmYAfGPjXikyXxVHImGuGO2wBA8KOkjlwiUIN FQkfZpYwIGs7Tg3R1rHfdDOcjcHxpkKb8Mv0+yzZIx69Bgfn4xE+BQkUEjIL 3X5JAAfx+tDajiQK3WsU5NMVwoFoPKDveIVC6jqPmT+Fcfi73aB1nLbFtumH 7mI4nBeubMauUmgoPzFRTBKn69Vvp+81CgWIKHh2SePw9Oz0xVHayVwucoaK OBy7u+bj22QKicUusueUcOB/6FmnlUKhkpms4ScqOBT8yxuRR7ttvCdHdhcO I5yj5qevU+iEU0jUFw0c2nOMTyLakz0CJ9M1cciPt5EUSaXQmjemWzh0cfiM /6x4STtDd+r38/04GB6UClmTRiH5qoSeIMDh+qB0pxntpyryVcoH6fHKbmi5 TvtAAUr/dgiHrQ9mTNppfxJ1Dso8gsO1kXq71Tco5JK+YG5phgNqP/x9L22S O2s7tzkOPxIsprxpx8Rp8SFLHMSWklwzaK+f7Waet8FBODnpYB3t3MDgtzuP 49B4u+PqIG21Sf7iSXv6+aq2qC7QrnN+lJh3Cgfp/HpZ4XQKmfaZeJ5wpvsj +8tDmfaXY5MHBdxw8LG8zNSm7d18Wa7VA4ePvefLDWn/0ZPjiPXCwfjHq/tH aCdW1w9r+eDwjUe5zYT2JjWn14QfDno6oQKHaRcVzuc8OINDzNf9Iftp7xHP jHIOxiGci29qJ+2mm5onN5/FYYfSYW9J2ja83Xs7zuHg6LuXuYb29/igLYkR OKibCXlO0/0Pnls/sz8ah2XuiY+ttNlBZT2/Y+j+yRTL3qOdNnWkqjweh87G HVZhtKVcJ9I9L+MQZ6RuZ0S7/POlIMkkHDzSjBX4aetZyFr0XsUhOGW6uot+ H+0tr7dfT8GhLfnMUjptZs0cczEdBxeV/lQ2/b4Z1g15TzJwWLF6K1tJm6do T7H/HRxSzmdfcaCtlBHoOZBDj88zNzOHrp/adeuNMvLo+zs97tCkfehSqdzR AhycBKJ839L15xEyPlz3EAfXsZCHw3S9/py++Dq0FIfDTpYa7rTj3WRyVctx kC0+OjNE13e+5amT2U9xSNaChRZ6Pgzu6OyJ/BcH1thoqQU9n/IxoZjVCId9 gR+dHyfS9y+1VUptxKFkc2UNF22mYn/EvVYcYjNmZEvp+flHYliqrRMHXtP7 TY/i6fr4KtNm1UOPhzroMkzP95hM92BGHw5LDPFDfLTXCE80EQwczr6dq7el 80JoHe69aQKHyybiEnl0vvS27RDKm8LBSN6uuoDOn6zEoDplFg5zxMbd+XQ+ SXP+Wq9H4WCzOefxlXN0PszNP3Wfx2EI+Yvz03lnPMm9VMFPgHx8+/zgXxTi LTJ9sG8DAba8/QYRXnQeuqdYNG0kIGhdeeR6Om9thwQK+kQImODxT5Fxp/O0 d7PxkhwBNVu9VMhTFFK8ZU8lKhIQE9S7zfIknb+Wd7MElQnY/d47pcSezrv3 kpj8dgI2KtupHrKjUHSTQrqpNgHG+3lTJen1xCDeS6dnHwFqrg1eBkcptMqg eNRJjwCeJd85e1N6/XipqhV8gICPmC4VcphCd55oMO6YEbA/dPySgT6F+tSv ponYEZBo9Jq/RZNej/JAcdyFAPWw1QUKahT6FfWL292dANc/HlmN2+j1y74Y GzpNwF6tjZwnlCj0SlCwut+HgKJT3BXuchRqjR82fB9KgE1wMRenCF1/zre2 mpwjIE1BRMpyE4WO6hjztoQTMPJMt/CWEIU6fz7urL9AgLuDsO88H4UGPGJc q5II6Nse9cGQXp+lQcNo1zUCzjeeMNy7TCI3iQml8hQCNIhGUnaBpPPvGPkg nYBnl9Dhzl8k+nFIMuZuNgH+qtun7tL7AS7lV9nxFQTosb9R5e9IZLo6KHb5 CQHnHAcEPrXQ+6Fv8h5R1QRY3tATH20kkVBWskrYCwJUr5RgX1+SSJL31Avv JgKKVZL+5SklkesEf+54MwG8DuFpZUUkKmxsjHNvIyCwKo2te49EylEqRxw/ ELDi5+KnlEmi3dhcn8VnAowSbc9IJZDoXFv5y/dfCFBk1tqpxpHoxX23f0wG CPCzsPkuH0Uifae3ngdHCCiUCFbtCyKRSUfmLy0WAccveR/TOEWi9Rr3LjLm CTCviU1N1SSRc6W2kNQKAQuriVBzVRI9OzUn0MlBwsd6R+KIAokEuOrWX15N wpjmpL6MJIkanPR5mDwkVDV+WefGT5/S1h1i1wiTYLISnMZDEiiqdu2y9xYS DCcjjN9OEKjHrW1BXIyEp6FLfqeG6P3oc7M/8dIkiNr/1qDeE2jS05o4pkJC 6lHuN0UPCWSwQRhjq5Fg/4LrQlMugTJf9U5X7SQhtmTnk4JbBDLZ6DAuqkkC XJZjZMUQ6N5rsdH32iSET+q6loUSaN5n4FusDglawllBwd4EKkMuA+MGJGxq zudaZ0Xvd/1lv2YakqA+p5fQa0TQ55nRz2aHSPjAfdDNcC+B1p/x6n5iSoJx XXotS5JAgeIB7y7YkVB+Wlm6chRHrS072nbZk3AtLEa0qRtHMiFU8+hJEqr5 fT00mnDU2RbaYOJKQpkhf8lkHo62ndWsX3QnwcAioJfrOo4uSv95VeFJgtKf zmPaETjafS7y+SY/Epp5ni0eMcdRsqxebVsACRGSUtYMLRyNvV+qigoi4WEB o/6zJI72h9c/2RFKgt2glfZvThzdlo+vGAmjf8/oyOscxxDRYVieEU6C9rsz g6PNGDKOXF1mHEV/739jwK0AQ3mKLcXzF+j/z09xrovE0OynpAflcfTzERaJ eWiKIatok/uul0j6PHY6N1oAQyVK6wo2JpKQO/y259QLFqoWyilPSyLhejCl s2LNQv8Hhegpmg== "]]}, Annotation[#, "Charting`Private`Tag$2800523#27"]& ], TagBox[ {RGBColor[0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1nk8lUsfAHCkKCIlspQsERFFidKvkCVtSlpEiESFSiqyJIeyhRAiKkTc iLjFZbLFDWWNFGV3nmeeSpzKet657/PP+Xw/Z855Zua3zMg7ehx05uPh4RHg 5eH573O382jLa/bh7dfkhDhcLhf4jaQ9v0jpACfqvY7vLBe00xJTiqSM4fv+ ddbjU1ywaOosTJWyAkeXEoNuDheOOP0uj5Vygv1HRtKDaC70aIYaRUp5wZYN PjUGH7iQvnx/SJhUMChpJ+yxy+GCb9O9GuvSYLj0MpG6nMUFa9ZXPkUbFij4 HXIPe8wFYc6FgLKUEIi//FvlaSoXrrbHXcVyt+HD1YizNTFcsLzb7bZPOQrc Apu8na5x4YZgkcptqTjo0M9ccdiEC2qmMbcKPeOgzefmvGpDLrSyPNif6uLA 9kC9tQZwQWmeeu5673io6xDU+63LhTezGevbWxNAuf/23ElV8v7xhE1yEUkg KcCvEiLEhcQeH6PiuQfgyNpioNY0B0ePPcz/MZYBU/0mU/NM5uD7J6tFj6Qz IYm3c6pn5xyE2Ak6HzLKhAJe08XFBnNQdMpDuiQuEyY+vz57fNMciLgbsHx1 s8BRYP+6IKU5qA36eHyB3xPYPll634RvDjbmiS2QFXwKcmW44WnZLAhxb5ww XZUPA4pD2fLKs7DG8ttodfgLGM9JOjvWPw1X3ulB4sQrkNkylzTPdgokX4j1 8vIiaMgwXy3U9gdK+o0a32+rAglXk0+Oor+hyi1V5hiuAZNIH6mfhhzgKBuI /nW+DtZb3TTojhgHvsncJTJr3oKwgf/X+mdjsJlrX3LoWSOoruRZsmvoOzQG 67x7o/YeDsgV8SmEYZCLpidzvjWDgHTN2prJUaB/f+nt0GqFTd0d3vXlQ5BB lb0ViWoDr7wwxeBj/SDovZx3ZLoNUlqNdZ8f7AORlU++Dw62w7mObCn33b0Q 4Vp8Ol3pA/yo+ZxuFNEFv3bkDp4J6ITEVNmujXGt4LWx5oVEdRdkn2sLTAp8 C1+e1YS3yHdDgeV0fhinAqbd2u+r+nyCHe84MXPPM8BGQr/0wdAn6L3vYXHt UzSs2ykwd7rsMwQmhgcdH09Dpo/kXZ5L9kIBTjn+kClFV1aeVOg78QWUePIW UX21SB0fFurc+xW0Wi40iVc2ocDaH7Yun76CsGbBgIdOK1om+kOwZuorBAuv v6o21or40f18xZQ+OGDQmjAR8QGd1Sn7uNCiH4INVe5GGHejXHPH9Ipf/VDl 2hxpUdqDtP//DICVstnk3v5exKGllwwnDIDetyvqW52/ouJDpvPijAehd3dt r/ifPhRgxkp7MTwIcfqDnUE2A4j9pzUnQG0IQhOFfnNGBpB8z+6ux6wh2FAT qlafMYj0dYPjpDYOg6fTTEnixBA6ser9JG/bMATru7QESY2gC65HJA27h2EV onyr1owgztvIfs8bI3BUQ8d/w45RlMhv53VQaRSsKrRiOdvYCNgK4Q6Wo+Ct uTA27jobLestfsRXMwpTly5dcl9Fofl+N6z0LrDh29FIoZrfFHoxhifRJTaY CZrXFU9RyOn00TQTbzbkSGrWZ85SqGa/JnXIlw3OLBwfOI9GwQo9Ae4sNviP TpvKi9IoOem/hw3HI5sa+JRpxLfsB69IFRvYT8xZdw7SiCfHLr9/KQVFvHc0 JzJp9AZ3uqctp+BWlDxkZNMoQsty/YkVFJT3nZ6wzKWR5EujvzpWUpA/T8M8 q4BG6+vW5tavpeDOwKDbxjIanRj6mfVsOwWNhxtnP7yn0Sv50Ac+bhScsz4l bfybRv7OPHa65ylwU19skTlJI+OcaysnPChghh4NzJuhUbPWuZTzlyk4mtxo 9IoHo1GwTLYPpMB6tvgG/yKMJOxkEkwSKHh1y3NMWhaj4NECvdxXFBQkf1id q4vRxeT8yKVVFPxaHhqyeTtGf88kh1bVUBAex3qweQdGM3YhNy7WUVCclcXW NsQoVNH2cmsjBT/PBYgom2CUkrfINraTAq8frF2jezGqrXBWX8pQ4Mc9j/tO YLRI3lK56jsFsr0OQ0V2GB24uW31xZ8UtD2wHwiyx6jbdJl462+y/rgl/ZJO GH1rfj0dw0eDnm9GzMqzGK0YkGkQW0HDY/4zn0lnRra7BGorpWkwQm8fbvLB 6NGTnxUXVtKw6thy3TZfjNTP/VvYokCDRAa3ij8Ao50c7+QYDRrqj0VM7mBh 5CbQ6ipmRAN/3bMo6RiM8l3LT1XuIuMNdkeHxGI00ZBte8GMhlokofT9LkYB 0QGWLXtpMLb2HStOwChOSkMv5igNjifTc6VSMCpfd0tQzJ0GJ8HiV5uyMNrc LtkU60lDH2W31+oJRgXXn8SIX6JBZGNMlkc2mW/TG+kVV2lYfSY8KeUpRrc8 5mvIBdFQzNwQff8MI94V8WPpwTR4TtrZtuVj5PNaqUQhlAbd9Pz97QUYnRcz BuUIGuK7rJY0FmJ0sCjIUiOBhl+BzazYEowabJZK5CcSH3jp6/s3Rsb8j7q1 7pP1VW/5af8SI93Dlad00mnQvrRhn3wpRrK/uZe3PqUBwq5uvVKO0dM9R0d9 SmiYOfxmvlwlRiP6fsnmFTT0JmmEX6rGyH5A+GTDaxoEtiXrK9SQ+IWnKO6t piHOTFeqibjxc1negXoa6k5k75V8g1Gh/1TFkVYaonVPjV+vx2idStjNj+00 yPD9c134X4wy3kuZ2XTScDx/YEEi8b3Vei12n2ngoVXmP36L0fWqKwPOwzTY u2+ZCm3EiOMmkD0ySsNvZd1Pv4jdl90750rTEHl0fZhDE0YOTiWccz9oiNmq oqv2jsxP2KT0208a6AyWyi1iq+IOf08ODdXG8W/7iE0WcAS8pmjg/ooXvvUe o9fPghs5MzSMh2xObSfWOyIec4VLw/yQ4WrZZrIe7uPDk7wYIu8YX7MnVs/W lvblx6D9V2dxGnHmgeremQUYPjAiF7uJV00efOy/EIPC1I6sJS0YJT7sd+ER xvAwK3e3IbHY7ovqQSIYXG5eOuJBnF4pKqQvhuFM6j+/kom19P5ijy3D8CdH Q7aSGBXsrs+RwPCIc6y8j3jf2tEsBykyXiv//QxxTxqLJSWLYSjfy2xpK0bn JBWdWlZheJz3VlaBeDrqteFteQzXfXJ2qhOHLbCT36mEIb/sa64WsZT/NPeP MoaGKIkDmsTZnMTeAlUMnJI3CmuJt5zfXH5GHUNsxc4VMsR1g233V2tiUBTP UxIktj5xwadrA4Yfq2e3fifzGW4TORatgyHi2JxlM/FlizxdM10MtOnu47nE /NXmEjz6GPKiLMwCie/qj0z8vY14aKvofmKFwuA2D8BgKqr4SJL4uapCoYoh Bsc3HeMfyf7ueIiivxhjaM6Y+BVP/H6Frcc9UwyveelUC2K76Km9+3eT/a9n uqdIPP0CNgmh/RgCqPbeXcTCv1vZ3gcxuC8RvP1fPqS4e9avP4wh91H/HW/i Uttc1oPjGM7eS7wSQfLLvMPMydoWQ1jAZ73FxF17hg1F7DH0zcbL/Jefv7bK 8/g7Y9jj7zrr3IARq6iid9MZDLqpnZ/fknwWX3einHHDwL/PPnktsbb0PR9b TzJfs4Nn35H6qIrRObb8EgbZw3U2EsQHF7bqNl3GMP3ObdC6DiPPP8Kcbb4Y dqp+86qsxYjr8bRtwg8DT731EZrUX9SIaWFeIIZhtemQxcR5H4I8ZEMwZNSZ BehXYcR+8Yc9HY2hsqYxUaeC1Ifl6wcFdzH4QNF3OVL/ghnaT84mYPh+td2Z 5x+MlO+6O326j8HozgrPp68wcrww2FuahWH+0tvmCS8wGhu9UX4xB4Oeovqk fhFGgfZyKWp5GK5VeEV8eI5R2v7jx5KfY+iPh/Ex0t8+azS3XfsHwzpvm79L SD9Mo8X85iHyfzvnhteRfumYc0g5shJDmpyjfWImma9S59X0NxgcjOa9tX5E 9lemd2VdMwYuF0Wevk/i81Gu7kAbBsMQWvFuEonvPQfP7g4ML/65t7bkHsmv ZUNVTDeG2yKu/F9IPxdbhF3EhzB4r8mMfhmOUXudhtiDEQyjM12q8bdJfbI8 SlUoDJSEqoZLKKlf3nHhrd9J/rGO9lFBpN7/TD53mMTQsob18dw10j+GBWae LWZAKP5d+mZyfi3MMM/csoSBWw/TKGsH0g8dwvdVLWWg/szosCs5/w71iDzs kGTA0eHiKpejpJ+2LzeZkWfAvjDW9KUFRkqxR76zlBhQpVqwixnpv/uTEkVV GPhad95VcBfpdw2ytII6A8F3arqkyXntW6UYbb6ZAe3HAtl+mhhtD3TWa9vC QF2BoUbeOoz4tj/pP7GVgZWH1DX/VSHnzSu1TZ47GFh1cZ9FkxxGCQUbuhN2 M3Az/mn2uAhGHVq3oiStGDhtnY2Oz9Ko4AEoDdoxUFuuaWjDptG4z7iAgwMD rf7tRjaDNNp85Andc4oBJ747UUZfaFQmKlrUeYaBMNnYp2/byf0osHdnw0UG ttiI6j2soJGgbewas8sM9AjJDrW8pJGFnsnC2isMRBhEXRkqJPeZsb+aK64z sDVpbPZ5Fo0+OfqdLAxhoMzqH/wmgkarYIOR5m0G7I6UnuKwaGQvM6ScF87A mo75w3P+NOk3e75lRjNQHeKy8IEnjX4Yy/olJTNQkCh+bMiSRtryzfYSqQyU BvGtqjWnkffsTeO7acTWK3Iu7aTRdDEtFJnBgPhdnW4dLRotUClLDnxG4ln0 r/Z8IRqZz/Pwny1goDB04IIUL7nvfVFw9CliYF/Fzz0jvygklhim6vWSgf4k 5dT0PgpZeW1fPFbKgJr1TPjNDxRKOPDzx/lysh8n7cZEGigku/D4S5cqBrzT 9g4KFlHo5NDilMEaBkRUX9S4ZVHoUWVlgEMdA1TajQibJAqp+Kia2jQyEMJi pOv8KORm3aPW9Y6MX/UlQsODQnkbY0QOtzDwzP3h68mTFNpI/+nY94GBi09u ZoYChS7X5b1q6GLgZ51iv9J6Cr18bJ9q9okB449HYnpkKDQVIH6jtoeB14fu 7Y0XpJDBiXonw6/k+8cft6tOsFHglutmqJ+BFw1BXed72ahKXEt92xADXQci Lq+rY6P5YwOir0YYMPtZukjqGRuZNd0b30SRfNUzP9sWy0ZhORadhZgBH+Wi 8SYvNmpicUs1vzPwdNB126ZDbLTEsehB3hgDWnoD6wrU2ejgdpcg1QkSnwUG WmhuFMVLy5zO+sXA8OIN43erR1HXr3fmipPk96I1dKTjKBphyoKqiAM5qVmG qqPof1WSCug= "]]}, Annotation[#, "Charting`Private`Tag$2800523#28"]& ], TagBox[ {RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1gk0Fl0fAHDbmxYtItmXSApFSFr8RVmKLCklJJU2e1lKKNlCvUi2hPBm zU5JXFv0opI1QrI8z9xn5glFRer55v3mnDlzfmfuuTNz/8sdOSd3q3M8XFxc 0/T53/XgOeJ9PT6qGyyzYo7D4QCfgbjHJzFN0C+Lf+D/mwMa6Ump5WL7Yd/I zoHZBQ4cetNf9kjMGka5BkxG5zhgc/ZHbZzYWdjqMN2ZQnJgeFu4wV2xq7Ds 93xAWh8HMtaZh0WKhcCxbtP20XwO3FpavumOWDwoT6sWHDflwBaj2Igyj3jY dbR6bMGYA12h7vhjazzsHbF3SDnAAQVelYKtPg9AVNZV/r0uB1p+Z2/t6UqA 7RnWU1LqHBD4lqAlE50Mfdq1hOY6DiQNXzeo/JMGI4GKISc//oHjJx4XT89k w3M/qb15p/7ACs4tOyPpYmhh5//YaP8bNlp+IZqiKiBSKFP/ICyC71sdSJqt hhXeLQUsYgHWVwiOcHMjOJXiccPz73moGjPoeLenEZYPzToK8vyExkuPJE5Q zdCW7ZK65dJ3mFPcu/qpaytUqi8TjR2bBZ75gjUSG9tA5aK3ct72b7CD41h1 pKgD/MrTJApSZ6AjRPNty5Z3cPnDInVq9TTIxJDzeV86way0Ni3sNQXkj08j vWpdQKYub3j9DEM2q6Zt1b1ucJZ9fJHjw4ClPuu4mb+6QVNvNG/KdxJWSeVM TUz0gEN2/U3KdhyiL1Y6Zyj0QcdqqYqZO6PwXa9g4kJQP1hXHOjbvOUjXN3e XCHS9AEmDBxSA/t64VNRc9R7uUFYKNxxusmoE35d6nm4+fpHCJnPW8JY1wIn RXa9SJv8CL4md4I8vjaC8j7+P841Q3DBGsv9Ol8NRply50vXj0B9/A2H5w8T wVfq1IbPdp9AbzGhYcmaHKRCHV3RbzYKxsR43X2iBt18NW1//uMo2MYf0xAh mpHQ6umlzQuj4KF1aeq0VwviQw+L5VM/Q0aWTMll3rfosmbNwLJDY8DTAMH+ rC5UYOKUUfd9DD6QQYMBMX1I4//HOFSrZPkZ/tuP5kjxNYyEcYjc1xQu+mYA VR4x4o3fPwGvNdbFvpMbRkHGoekVjAnok/BeFbRsFOGfXXlBWyah0UKp8Gza KJIbPvghK3QSPpg/ko9z/ox2aYfEi21nwMeY3g0P2saQnfS7ee5uBjQkr33/ mWsCeV60Wa8/yIANvJF3e1dOoLm2u2Met5jwR/ZG/o2dkyiJz+GqlQIBO52S jg3oMxDgDVGnLQnIFDKyvBnKQEIjlZk8zQS8WeditGYbE/0VcMtaxxPDn9w9 vMZrCFQxQ82jKxgaXu6UOSxEoLPOx9MNfTC4Kj3SshIhULP5NtYRfwzyHtdM rSUJFLJhOMgtFIPx2x+/QYlAKcn/HRhE20zjc4FAPELT3KsaMZgq8V9b4kqg svCTOfHNdJ4ttGj9604gp8UWU4lWDCee/66740WgxslHiUodGIpXnlDj8yNQ 8PNDqgZ9GH7qDjqOBBOI2yHnuB8LA//F7UGKSQTiynMoHlvLgphnWurz9QRq ofrd0texQJ8jMfekiUDRapZb7URZ8PzCyxHLFgKtf27wtFeKBcpFOaLp7QTa 2qpU8FqJBVFhBkMifQSym/z6pEiXBUOBrtrXWASqlgtPu36JBf2BPNGzazAK PMfloO3KghmPs777hDDan3dNatadBW1dw5ui1mHUqeaS6urNgg9Gq9qExTEi wDLF8SYLsqwOFHPJYyTiIJFgmMCCjTEeddqaGIUQJToF1SyIM9/mS5lh5JVS fHdtIwsMApx/LrHG6NliSnhjMwuSJ7Rth45itOgQdsurlQV9yf2yRTYYhcvb e3d1sGBWdEeb4UmMUguX28f1s+D79uzlpk4Yvao7p7KWzYKKq1u4M90xWi5n qdg4RT9f0cxjtydGFrf3yHp9ZYFF2/q5Ti+MBo2EhLt+sEA0n9g87Y3Rl876 X7E8JGgqjmb/8cdIdFyiXVCUhAjpPx3HwjGyP8D/qkGchOtEJlEUgVFmztc6 TykSLNyda3giMVJx+bfs/QYS1OuVXB5FY7RvziclVpUEt2A9SIvFKMzGKX6f GgmffJae6I7DqKPa7N7MdhIEmLHfeOMxOhaoEGy5k4R2Lel7NgkYXeLvuiho QMKpUN/I1hSMii/Wnmk4QIJamd5Q/0OMZttz7T2NSeCLaPcaT8UoKCbI8r0Z Cb+Xmh2m0jCKF1PViT1Ogkrj9sGmTIwG/EU19p0kIfQD2/VpFkbSI7yqM/Yk cCqmeeOyMcrNHJS1PEPCznQ3IdMnGNUqRywVdCPhKjfREJyH0Y6e9W/iPEhw 2T+etSMfo5IbObHCV0iIjN/9ZZJ25psWcVE/Em6wl6buKMRI0ufYp+TrJPRY 753qp/1AmpElEUCCRIRp5NWnGEW4/6UqE0zC0fuGPulFGHGLPpjJCCFhPHBV lWoxRtfrFao2hJNAHrgk8Yy2q+B+UIym18PJVKOmBCNGdTdv7j0SBHledmuV YuTodOb15lgSEoZjvAtoW5UHW6omkHAspT8xvAyj9pNrRYqTSDCvVP7rC+39 fJmDag9JsFTONTMvx6iuUD297BEJf2c7ny+grX204YxmBgni0XbGPBX09/62 UKrKJIFx1JZxhPaWJ6OU9j8kCNcv186gLfmD4707n4QLB1xblCoxSkj/e1dt IQnK1qVTZ2mvNpbh6BaTkGrclvGQdsR0UVN9KQn6XilvO2jzJOtG6FeQ8PT2 gOtP2vmmx4nrVfR6VC2KiVfR8cb2gobV/8U/t0uXtlscu7e1hoTLc203T9Bm 7gpIMakjQSY40NONtuO4wKn2ehIer0hKCqA9GJUqb9ZEQhejBofRPqKpQrx9 RYLUot3xSNodQzWFFq9JeF5a0x9O2zD0kGdXGwnr3k7YBtFGqh+1rN+QwGVV 0uNBe2ffpYXed3S8D9Zr29EuC1yos+ki4VFykM8+2sqbIm8P9JBwpUr2tizt 7Hdixif7SQg+k2o+T3+ftF+ewPAACd4nS960006U1XnvMERCxbfhL4m01/z7 +sHoCAlBFRey7WlHeh63dfpMwh6G9SdJ2rzihPTEOAm2Qs4xvfT632j0HT/H ICE9UCo3nPbcJf5cJkGCw93nIhq03YQSXS6SJLAVtnX00/ElahTVSTYJsr/U n3vTPn22as5lmoTtA0ptArQHBQxffPlK13+n2kwqnS/Wlb2BHnP0+jmKSyrS Nlwyx391gYQG0kRbns63+qKQjrlFEgyiMngT6fzUsRGO9eWQ4ITnonhpq+Rq iPvzUZBZuza0hc73fyyaRhaXUFBlpPlOkrb0vFVW4DIKCji8EZfp+hA86KUS vIoC2zGL2ZkCjDIaVq/YJUhBVh1rtyhtNZ2neEaIAs3kPB0tuv4OKxFPTotR cOKxCdMqF6Ph9NBQMUkKjq0Mtj+Sg5HLevmz76UpKL8XInKQru/IJQ5y+xQo KHGP7BOj618s8BfnpyIFf/gL0r7S/SJ3LmmkZDMFzza/Um54jFHrRPdD2W0U nPdVWg3pGPE1mYhw7aJgj4Kj4otkjO7vYs4+20PBjd4fhnuTMNpQFtLtDhRs OfJqRSXdz/Qeo5hP+ykwKU0bvXUfo4AgrRXInILqMC7haLpfCvzowj5WFBRG OFcX0/001c3j9dajFLTes8tuofvtC/uC0DRbCpTcdoS+CcHo+245rsBzFFw5 4FOrcwOj0PK6Ea0LFHT/zh2buYaRsLJdLfsSBTcn7qU+9MVIQzzxur0HBfwl 5f2NdP/3+Ckwt8efgjmrd/onLmDEcc/vng2goKzGfzrhHEb3mEZlhTcpiKn4 JthM7y+FfcHukmEUjK3M8SbtMMIVP/GvGAraK0dizlnQ+WJZn1Zyn4J5Cf0k MXp/W5qtkXM5gQKngOb0MhOMFO+7nf34kII0mVKiRB8jJ8+JkRdP6PnkP7uV a2A0Q9yq9cqj80Pvsl7tNoxuOsqkbimkIEL4gXyJMkbp5rYnUkop6OlMnjlM 769Dqp3d117S8ZIQkXEUpO+TggG8iAKrq6bR3wTo+fOOKN5toMB4TinfbSn9 vgr9fhktFAj/KPcX4xDou8SIVGsnBc+d9K5sJQn0YkCm1aKbAsVl6tHUJIEC Ek97DPZSEHfr193oUQLxCU02sgfp8dKK5W69BBJcTp0XnqTdZBCfXkugnlZV wTQmBS+8co0snxEoKdT9xSYWBV+L/zk0VEIgae5vArunKNATy6jyyyKQys/5 0tPzFPiVFPOnhxFoqnL3SfIXBcsbDLKnAun/pysBfN5/KNilcr1lhS+BdKa4 bCJ42cAovaL2yJlAhgz+xaKVbHib5BfVr0+gZdkm/+xcwwbbY24bd+oQqON0 1OHGtWxQ8N97/dA2Ah0ZXvW4dz0bvs5bYV9xAok8tDh4SpwNFS/zEsNWE2jw eNw3QpIN8cJxPBp8BHLsWWe4KMcGtaXCQiYUEynE2UyFKrAhXzH0duYnJmKa Jyet3sSGIdueab8uJnJrlyQ3qNDvU3zH362KidTvOMQXbmWDo0PAoGcOE80a Zuzdoc6GBQ/9/upEJvJvlI8x2cGGEN6t6fXeTKR785xO9042JF25q2t8hol4 dHPG7Haz4bBjx6oscyZ69YuIYuxlw/f2jY8e72KiiOotWh56bLA2e+G+RIGJ TH1dRub12dDjK345aAUTrdYqCr99gA12T1kPUqYZqOvrlNpKYza4bOi/WdrF QAkl6oMJB9kQ9o77b1TCQCfcrtyWNWODV/TTq1x3GEhSpVIl35wN9Z0Cp7ps GGgUf+/VsKLH3556kLKWgSwjdJMXjrChyGZhvqtgEv0PASA5xg== "]]}, Annotation[#, "Charting`Private`Tag$2800523#29"]& ], TagBox[ {RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlnk4Vd0Xx5HmUqYMpQwZKiRNL8ky3CIqcwg3FQ0yFFEpKYlKA3WVMg+F yJxGtoyREEVJhXvPce85J+SlMtT97fe3n+c85/n8sdfae63vWmur7Auw9xYT ERH5iL///lbe/HdVAifj6GVzx4RCIYibKx79prAOXtb97Tr9RwhrUxOSShVY MOzf0z82IQTrt10lyQqOwG3cfZQ3JgRnr18VNxW84MPdAp88WghfVkebX1M4 DkM/9/b1dgohTdYm6opCJET86leh8oRwflap5mUFDlzOvpwYaisEF9f0wuEf WVA5vc/Q7dhfmCs8726xtBAsrmXfdL3wB9TtBvk1MWWw7xW7fiR8Ck60GEDC 6DN4aOKZ+9t6EuTKJL+KiiKw+edSV8iiCSjvN29uNaqG9xIlN2JLfkO1T/Ji V6YWdhbuMTZl/YIxjc0LHvk1wOfyEHF+/xiIjectXKzeBEWp5TH5u0dhg9Cz 3KGgGbY25v2rPjACzZHrWupXtgJlHUdmnPwBy2Lp8dzBNjj97JbApHMI6F/f vn7Qa4cX3o57N4wxkEW9aJK43gHKtuUxrd8EMCtEVnRgsgOO6ZhsrqH5IKGU PcTjvYflZMPhJSQJVw8/PpC2vBO+rjXfZqjLg58mebxD4V3wVOLyxqs7+uC4 fm3ZopqPMLrPYVxm7xf4VlAb806lG85eLpA9098Fkz7vE1eEfoZ7YTNkdfPa wW2R4fMU4jP8tpHWvSD/DlaZzvx74EUPbC+ZO9w1+AYsMlQOFst9hSUpG7fc UqiGE0p7VPvcv4GLmENCdFQJaDNOc7t29IJIXsiId3gYnKsb9jj4uRd6OqYt dqzJQdILhmfVTvSCsqtN4ueFhUgcJRaqJfVBmhc1f7U0QkfWvfg027of2tKF rqsTGlDetn1plT/7IYefvoyr2orW/n9x4fHFxbqnPrShMVpxIXmbC6yLkzJd dDt67GAxjcPiwUSjclCjZycKt7yYWkbywMWiUYwd8AkJfrfnhq8koJGTzfqe 1Y1Uvlh9zLxIQLU0m6OwpQcZbozkKOiTcCjIo3RU6xtyX9o6LtpBwoA+8Xh/ Zy86dthZzqybBM5l2YcN3F401nSt/+j5AXCQ2GN/Rb4fJYizj9sv50NM9aal Giu5CASqMXvt+JAU9/FDtx8XSX99nCFWywcTtXuiCoo8dH1eWNiTej6Uvb45 QCrx0JxNLBffRj58tL4bVKLCQ2IJ7fM7W/iw+XTkCbMVPDRiN3Qy9xMfTlvK i239h4fa6rRsbIf4oNY8reSTEw9dfZQ4mawoANsWN2vNGzw0Pey8o8ExAVRr PnL8Ps5DZT+YcRQkgNDVg+a9UzzkdcAldWuIAHzM4x+3CXmo1mY15XAa684w Qu7hdAJFqn4J978ogM7OtgRjSQLdu/vfEoBDd9L2Pk0CiUkPi0pUC6DcgP/G 2oFAJdFu2ZxaAUjIdV2gnAi0b6p+++IGAaiWDgREuRComki+o9UsALEg9U+P PQgU8dRax7xTAJnJWakjBwkkys52OUkJoLm4fF/faQKJ5LIL+6Uo2B+kfSQs nUD1TJd/qiwFVl0rsphMAl3Vs9N1l6fAduq4gssDAsk9NX/0QYkCn5sn7qvl EUi3QSvvtRYFm7e+fHK1jEDuxMiDAmMKpvRnG2bUE0h1he+BI6YUaOWGvWt/ TSC+L6GuxaKgVzvLVthEoKDRrqz0bRRs+V48aN1KoCvTKjI4jhRU3k8QK+0i 0DOV6JRQHwpuGJyUKh0g0FlvEfZGPwrS2hvMUgUEYuWeUhoNoGBrQe9oFE2g Nj3fJL9gCsTrllVbDmF/YHfP8xwFM/0T18f/JNAi9uLbW29TcChOv9NKnEQ9 6RynaXcpGPMqTaWnkyiDmC9blUiB+dyz/tEzSaTjJ8IxSKeAlSw5XjiHRKwz RJx2PgX8pzsaahaSKJJfZJD3jALpJlHN+3IkCrxXeE2qmgL18VTxwcUkejJ1 L7q6loIWNeu6dUokmmJHnQ9soKCs5eDykKUkilbzCG5vpsAr8CaHr0yipPw5 Hje7KJCp3ykVo06iPomfu8y6KVjluCr5vgaJNI712Y70UBAjFR/wXJNEReuf suz7KfBnB7xsX0GiukpvbanvFLDDU+6/1CHRHBU7jeohCqQyg5VydElke8FI OXCEgnTxZ6HXVpOo20Japv0Xvr/Co6Ita0i07OHf+RETFFjEH/KX1yeR1zxq pv4fCqpcMz/zMA+2VU3GidHwMnPtVZ91JO4X+WOm02lAk1UlautJdDL+ztCP mTSk+BnadGKettufazefhtYTeY80N5LI8qXrF9GFNLxO6Latx3x96ZauYika fEr3arP/IZE8d/EbSXkavFUZ61MGJPLYMrPulSIN+6/86z+FOSN7pPKYEg1H g50vnTQk0cDsr09VlGnYnfw56jtmbd/GkneqNJxRH3Vx20SiYy1l+efVaVCO r2FeYS7XS3uwRouGnip5PRUjnI+bMWl9K2nQyPBdeAqz6VjIvTgdGryW9IY2 Yo5y3scx1aOhtsDAXWoziZqf7bj+Q5+G35LcNAfMkksMLqWvp2HOK3LdNcy7 zi6PsPuHhnO+36chzIm9C86IbqIhZ9emcT7mXrPJ4OLNNNgnPBLOMSaR+n0y YK8JDZXbn4iqY/aZ2X5Y0pyGlky2YAPmwsMV+19toWH7J4M0E8yjb3I8jlnS ILHQd4EZZkNdjrOKNQ1NCzKWbcIcHhtu924Hvi9P4tkqzLUjPtbnbWl46nao RhrzHKddW9Y40PDQm6v+Lz6PzRNT6HOiYdBar6ERM0dBxyDOhQaxxpBrdzB/ Oi2/1tQN2/tlx3bHvPTrNJ0fHjQYyTUvlce832RII92ThjKd3aVNOF45Gd3K dvtp6A3sEgZh/i5eryh6gAZW/LkBacz6B4tlig9h+28Gtz/E+ahYdWmWpD8N nGFd+ec4fxvey729eZSG2NC1KUaYi85kx8kE0bDTJDuo/L/8v61XlD9Jg2HQ w/QbWC9LQnZ9uxuK4/VGs2YQ6yl+KZm5OAzvf0/WsTBfCpiusyyChkBTtYn3 WI+i8vE/0iJpkOIEDklgDq1aXq4aTUN7QNIOwHr2k2SBxlV8nnOOtRFY7/al EXY6t2lYUtA5GIvr542b1KLCBBpEnHddCMX1xRLP6NZLpOGQjf8RV20SbXR6 tX9dGg0JttMTf+J6LPpjq1WeQYNny66bZVokWvmgl9l4H8d/RofRQVy/S34J gzc9pKGqUV+Yu5xEt1NvGFbk01AQurLSQI1ECyyXCY0Lcf4I9tkKFRKJ3TW+ ZFZGw0fbueZpuH/kbXfhh5Zj/5lWp5RwfxkwDLu3rZLG75FSx7e4H3ly5+15 U0XDg3KD5F+yuN5jktR21GB79m1mMjJYzz0v8m1f06D393mZGu5nJWcnKp3b aTAZ8NzAwf1vleaVC5/e01Di/zzYCvfHrFYFS7cubL/N58+wGInuKBu8Y/fg +n1eWzT/L4HOVJ/gepM0rFT3TzrzL4HGfGbmDPBpWBicq5Y/TCB/6Tu+h2ka fO3ijBu/E2ivV/mY7zAN1e5vbzfh/r51xtjM4xM435411V+6CVRVENk8NoX1 ppEx7IfngYGzTNwJIQ1tgxML+R0E0s5Zq3hanAH24J7xO80EkrQK1I6QYKD6 0/ynH14SKO3VgrmGkgzozWo13faUQHoGjwQ/pBmwl27+kFRKoJ1a/Ad7FRgY 1CuW7c3F82cGW8V0OQPdXs/PPuEQSOHspPC3BgN8awv9eTcIlDOW8LVoBQNa dYfXb7xMoAZeR6Lyagba9ALrZocRSLxm2yIRQwZeXp/f77ePQLcMB0afGDEg 9TbouJkbnoclkR0BwMBSC2v9L3iem6Sj2G8sBh5ItfBcWQRqlfcIuGOB75Mm k7DeiEDs2IkdNlYM7Pby4jWtJVBY+Pq5yIYBxVVlnlKqBJr3q10QYs8AuZKT 8kKeQEn+R1/rOjHQA0eC5i0g0HOPvIspuxlIsVQ3vDbBQ9s+WHrt8sD+XTXj C4d46ON20kzCk4F7kp0KbB4P/dykInLWG7+TzUzyDJp56GJp5df1hxjg3HIy tkU8JLPKveK7D45nYMXhumIeysoYT7zvx8DtL63cS5k8tFbxTqjHUQYyjs73 jebwUHXcOlfZIAZmfDaayI3kIfvZ7RvfBjPQ5LMm+X0QDx39PW/M6DQDP8/k BxTu5CFhwMOO0TDs37HtypQBfr8NWJTkn2OgyOqwc4QaDyntIWK9LjCQxE04 9HkOD+V3RgQsiWLgQIXls+AhLtq0U3nn+0sMnCzN1TzWxkVNdRXaV2MYmEhI 2+GYz0W7N7vNZV3H+yeKu4zPcZGg7LdgMhbHq6P/URWLi6xKj/+JvcWASBTK UGrpR/8DylY/hQ== "]]}, Annotation[#, "Charting`Private`Tag$2800523#30"]& ], TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlgk8VdsXx03v0UCSjKmUCi9D5UnqWZmlDNdcISEhGUollIjo8bxIkhJd ypihRCq2ZChJkimKe06Ge8+RKWS+//3++/M5n/P5fs7Za6+19m+tveVd/axO 8PHw8DTh57+36Qn2p2qOrc71DSumuFwuCOjL+PdJa4BN1U3B0EUu7EpPufdU 2gDEJrc/mJ7jwsEPnU/SpG3g1ukkr6EpLti7/6pMlHaHC4SnRTnNhW9q0fr/ SAcC6O07I9rJhYy1Ftf+lo4E99Fmw5wCLoQLPd12XToJbHPO7g6w5oLD4QdF Y+NZIMq2GBC/vAQruOGOxuuLQEupqWr8/iJsYYyw38SWwsF2huhI4QJcaN4D KZMVYPQroycqaR4kS1f38vIiOBZmuKgdPAdlpH7Tx301oGUay3LVnIUa7zTZ w8O1wGSaTS7j/IKprX+teny6AWqvdPp2PpoGvtl8UdktjSBjr7ljGKZAk+tS Zl3YBFk9knEO1E9oitRorlf+CJcsEzITb0/Ahhv0bO5IC8TPrrtIbhkH+ldf b7t6KwhW7susuzMKWdTLRpH4z1AWK7Ijs2QYhM6v5R2a/wybb7HMqHc0iMhl j/b3t8HzUfNAz14OxHk988hQ6IDWZsNsScMhmN6f3+8Z1gn1Oj4PJ8L6IXBn banEmy6w8/wkx/xFQF9hbewn+W5wDeWtc7zZC/PebXeVgntgei9HuDLwCxyV 0H5xf6AH3C6ELNMd6oQ/dAWXPF5+Bb5l/XcvtrSBMVP+ZIlkL2j8HvL2de9H uCB3bBPh2Ac2Pl90nUQaYPuw7YpOMxZsHNPqyPeohCt1Y04ne1gQU1e/9Yxa IaxZNSZUO8eCKwr524O6skEA3S3afI+AK1EtAUYK8eiUxssvyw6ScOM3JiNc ohTlH3DNqJomYUbfW0Wi9DXa9f/xHdaobRxlGteiKVpGdDD5O+S8+F7IiH6L nlkb8ycZ9IPn8aC6HTc/ojCTqPTSwX7o33hc5NVQK+LMtOaGKQ+Ag+G8ocPm NiT/zbQrM2oAXGY282e/b0fauyOTpHcOwuRi2Y2iV13Icf3HWd7PgyCe9s+5 6AM9KMDLXlKvexBMd/7JveTeg6Ya/yH9w4dAPCUzUrP1G0oRcA60UmBD6F6h IzPjfWjJTfLPT1vZ4LJQItg424fc37RMWSixoemdff17HhZSj9C/YKbKhpk1 n4RuCrHQW65isIkWGxb8khyFpFjo19zPMJ1DbMh4U70Yp8lCOpxNsccZbDDk 1cvdocNCduPXY5UD2eDJ2HvtZwALrel9xuSrZYN5RuWuDoKF4ldeulRez4Y8 yjXu3AALLd9r4ODzjg1aE1U/VnNYiC+lVbijGdtXEUC6Yyw0wRgNyv3ChkMr 5A5cWmKhljpFC8tRNrjOpJgflyFQ3OO782kyHMgTNZettyCQ0FfXDis5DhTM ljvzWBMocrlyieBGDkRMb4PddgQKOfncI2ALB7YWGDakOhLIW779k4E6B2rL ba5qeRHI5JZIDm3IAd8yicXGcAL9dincZk8AB6ReSgltLyZQ6fjwLDrLAcpU S6PmCYHcPRzSjc5zwEO2g7J5RqBaCzXKOoQD/aMGA34v8PqbvoX5RnHAZ2pd XEgtgVLv/Dc4EFSeW9LTie3ty7JUvscB54ue47rd2F7Jquni+xyw6qdR6lds L3Vwf1UmB1R37pnZTxDo6umkjq7HHHgkirSOUQTiWzPGK1LDAfcPye3f5gn0 JPpodlIt9teEcJtfJJDrQv0h2QYO2Gk4fRDnIVHNQNptxSYOSETrSO4VIFHE 84Mq+h0c2DewscFmJYl4nbMdgigOiPkKm5fJkqi4VWxpaRj7b+AM8XIkcjG+ nBk1yoG/s7ySj28gUbW67UjiJAcSSyps5jaR6Ao/f+TjJQ60ts4p/FQiEU+u cxEpRoFrfLDunCaJ6oc7fdPXUiD+M1TtoRaJ4tQZqo5SFLQpvhcy1SaR5HP9 x+1yFLy4bWkS/heJVBsU898qUmB0JC0kS59Ek8uZ3lF/UHA/QdRIzpBEL8xl lfVUKSg82Bf7rxGJDDuEc1/uoiDYaeSQywESOQ5MPCrUoSBRSf9HsTmJNin5 eJzSxevJvPn604JEbJ+BLYoGFJhelmtQY5Do7GRn1oMDFKyrOW+UaE2iv/kr mUk2FFzxqP3JtSeRpbGmK8OegrgXetVCh0kkEVskL3KEAu/G/ollR0jEFGNm RB+j4Kv//j1TR0lUIR99P9ibgucLa+d8jpHo8gke592nKfCQE8vTdCGRQe5F uUk/CizVronNYG5R97l3+hwFoXUWj4+7kig5cOCochAF2qfvFy5zw/E8d5Yd CqbAM9bi91zMbGCkulyhwKRlwPKDO4kKrzYelruKOcddxOoEiQIb9KW7oygQ O+Rf/gGz9orKruQYCqz029T2e5CIa66ZYh1LgaNixZFczLWJRfai8Xh+YLrM spM4/g5FyQ83cL7WHGEcw2wpw+y4fpOC6ddCrHzMEs6yyUbJFARuEcsewfz1 QZIt/x0Klh7LXdvmifMxILy2+i4Ff6sIO9ph9lSKbgu9j/9Xnv49BLPKaZ6k PQ8oUB2Ucb+FeaL4ovV0JgVd4t8tHmJ+Pjkh9vQRBQq6bQ/zMF/W8mn1y6Wg ufP6/v++G4QOJGwvoEC5o2A2CfPyamcGp5CC7rV07kXMLfxdoo9KKIhRH1G0 xpxszGhxLaUgaYphJo/5aGzjvxvKKZjxTh3+jv2PZBfvya+goHLcfTYd86BY pcidV1gPqruGDTEX2Gk22yIK7pU+He/H+TqTWvSPWA0FZRXHX13AXL6QGl1T S8Fc/jc/HswLztfCzzRQ8NYjdD4U51/vdUDIpkacT8NM1R94v6I3O51rbcL5 P2DfaYm5KcrEL+IjBUG0ak023l8x9i6vna14P3brvxjHerhXsNwpsZMCmzdP p52Ok4gQmbbT68bxOP/1LgzrZ2sAYTnxFddPhHbdTay34j+fG1iRFDinm+gl OJFo6namDt8Ank926QU7Yj3MxWs9GcL6YBaessF6ras6sV3sBwV53Ba5Hgec T3nG1ppRCkQt5ddG/6f/q/s2npnA9Wx2TXSzHYm6jdeIt/6iQI8/8bMSrpcN eUvCEXMU8JRoTd7E9eS+khLcuUgBy7igcRjX20hL9XwCHw0OFgJKXodIfH4W TOn+RkOZhttYrCmJgm7dHh0XpGF4z7bhuyYk4j/i+50hTEMyrd4RbkAiqe+y 71dL0eCabNvusJdEToaCda9laBClhV904X7CzJ6oCpCjQdk6QkAP95vtPu+e fNpEw5x7aUizOokCmksLwrfge0usnv+YConK1DMe7VCkYeU9i8OzyiTSnTqf mqBCg/sKBcNKBRJds3dN0lWnIeOHT8t5ebw/FWbx4ztpaE7jdRFfTyK7ywoR DC0aUkZ01GckSOQt2Oq1Wp8GmfRH50wESVTkVen22pCGfe9t9IX4cf96n+MU YILj3aa0LGuJQGE3whifzGjQcPTT957C/X7C+2C4JeaOswMJYwRabmtnuMOa huD8jx3/0gRKklbZk+BAw/597ziC+Dz4EiK1S/coDWeG4o5d7iHQ+l5+lXEn GqzO3K5/006gHGb3RoYbDQuxfoFP3hGo8o8YodW+NEj5PmhoLySQZpvkh0R/ Gqgqo/r5bAIVh2YniJ/F8Win5ZEZBGJ+qJeRCqLh2lGvrv4EAq07b9d3J5iG 0I69EjPXCXRr/WCm7CXsT5av4Ct8Xsb4/aayIYKGrZHC5fv9CcQrdWs8I5KG +0pszSkPAgVXK5RtiqbBkVJ7qutEoNOrDWBrHA2NjgHOV0wINFjxmT8nnobe LK6O818EcnF1e6uUQMMMujmSt4NAVk8jGCrJWA9KOQLWUgR6f1RMoiiFhpF6 akXMcgIZCDC71e/SUHX5iMO3eRaqKtiR/iQNr1+09uquYRbabfvaTSODBr5F xqxrDwsVL1oqljFpUF0Vl631joWUH7GGdz+kQcwsJtf/GQtlmvuXVGTT8Lvo KtvH6Sy07hf33N48Giaq5rge0SyUnP6vdmUB9u8kK+f9KRZaZbKBq1NEg+nS BqVzB1koZqzwTXUJDUIXF6zvbMb3mzs6MXqlNLQY89cc+NKHdrNpIfcyPH9V 6oN+kT70P+eE10Y= "]]}, Annotation[#, "Charting`Private`Tag$2800523#31"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlQs0VVsbholKpEQ4kuPewZH8blHyiS2KXJMUQkiFVI527oVU5JSEipL8 SeVSEV00pZ1CuWfbe61wZLPXSkiukf3P868x1ljjGXOO+X3f+75jLlX/o66B i4SEhF7g99/vjkB+Wy3lbpGqLDEpEAhA1HpNeK+CERjNfdaJ+SUAw1s5uU8U GKAU6qY3/VMA9h/Zj/MUdsGIm9ZNalIAHgHTNRkKAeA6dkO19qsAPm9Isb6o EAEZifXPDNkCyJd1OntBIQm0xPnOxiUCOC325I/zCpkQTV00LnQXwB7P22Vj 3wvh8d7JW6kpCyAhOO1l+3sZKKlfO3PuyS/QdBnhv0mtgJkQNWH19nk42WwG ORPPIPGX40OTpjmQr1jVIyyMQDlPVXrk7U942m/9ocW8DpYUlZ43vTELdYfz FD2HWRB+fImcUfAMTK7bsrIk9B2Y9RrXBcA0LJp9IKWo2QhWAZS4xcQkmAh8 n7qVfoA9TeVNVtUT8CHJqLlepwX6Z1ieHbE/QPnS19nikVbwyZKD7Zrj8HW6 t+eTfjuk19juZfSPQSH9onFFegfcC2Dl7hQbBbFIWeGhuQ4I25eVvGr9CKxQ KhodGOiEs1H6h5d7DUPaocqgfI0ueOXQamX+hYIpywcDwfFs6JScsF+zZQgi DFgVcm+6oVC0/1TLxwHoLWWltqlywfhq8wDHpB/mDnfe0I4iwMSe8XBPRC/s k9v0/CaPgLOh5ZaOY5/hz61LF4JekCBuOX7OeZgLtgWqBx/J98Dg1Eyaq3oX nFTar/aPVy9INza0anxoA91hdwn2zj5g/hjWS3dvgoS3Y94HiT44UeRxPM6c BTIrx8RYP/tg7FD73u/FdSCKbpSp5/4DzuozsZufVsIRoxecZfb9UFvU5uRf cRUebPfPfzXVD31Dcpu8Gu4gw/8/XyD6iiHbQrEUTX5dIzWY9QUSFkdNL7lU hSrdbEUyGQOgtfiqowu7DsXbJd+qGBwAvqvXqmuyDYiaaS+O1+EBz2BqEtKa kOrnHd13knmQsOvhWwWyGW3amJSpYDAIaRxe4ujeduT1e8uscAdmGYfUwp5O dOyQh7wVdxDCP8cYt8x0osnGi/3hp4dASDm6XmcXG5ESn4LnE4eAOf/6PMuL jeoc1o6mnB2C+WbHp56BbHSp+f7czdQh0I34YR4ZyUY67e9Wf7w6BF5Xe6+f zGEjH46wrfb9Idjz9I9dOQQb1Q/99eCfdrwuNkYZ+3SjHFGfCFcNPjhrcRkD bhy0cEDeuG0dH1aPWq6R3sdBAW9aJ520+RByxTlwkz8H6Z+xPrlTjw+ZknxG VDgHvRdoRdmZ8kGjfuOZp2kcNP3zR7yFAx90F2KTFVkcZEGppfq58CGn1EGt oY2Ddn8/n6oTwQf9F6mNwXpc9NLZ2qE4EvPGr6xuIy5SK59frnWKDw/v23pa beaikbCj6ZpxfBDLPrlhkR0XJQ/vuqxyjg+MOqNiQz8uqhhSzpbL5cOlqjDY ncFFMj2VBYtYfBj+76dxj1EuSl8eG1tVzwdzls6U3yQXiW9m7AlpwP1/eyBy YI6LFuW0S3Y184FZJSS8YymBxl1GmcUcPvxmQncU/06g1rdaTs6jfPDN+ZFd YE8gh4lR7cXjfJhX0X8p60Kg92pVos8n+BCh8qQ3bjeBULzNc/WffNC6vJJj 4EegUjN/zWlRCip2FEUoRxIoreTGXN4aCux44dtn8wgkRvp3uSpR8IEpR9UV EChJXOfRUhUKRL25xqeLCBR9sDromCYF9/K//kWUE+iw6qc2hj4FWiVFHSJv CGR3dcW9rzYUrG5hlS3nEYj15tOZfDsKAn5kfllNEchyPNfb3Z6CeUknSalv BNro9KcMcqYgQoao65kg0LpldnEZ+ygQKhWX54qQaHHs6V1mxyjIT9hupa1M oorvw7PoBAUz5A1dRTUSBQTtubUtkoLccfsagQaJWE4baLdoPF8Ok5GvQ6Ik tc/xYcm432lv3iZjEhll22lOplDAVI5b9GojiQYkKhqjL+D16EM5BptIxJi8 IHv+b8y5X86NWpDo+rV/Hwo8xdYteWCL65sXOuvkUuBbzP9esx3Xf7Ryqvwm Bbo6pSbV9rj+9UHLV3coiMlfZh7jRKKIla6DjLsUOD/NyLZxIZFGUk1q0z0K Hj4LtFhwJVFiaGZXdwnez+Nmme8mkUG/IHp/OQWWHm2c1x4k6t99RHXwMQW1 o4UXjD1JZGVpFfKjioLlyz9uH9pHovGKklVRz/H+hIQeDW8SFWgrVAnVUMAq qvzm5EOiRTJjwivqsJ4lSSdDfUn0OGVfUSaLgrGy70f2+5HIf77eQfEdPu9o cPMWfxJJHzMYv92Az0sM9xA7QKI6Xl621gcKpCYf17zCfHzvsi1lzdivSH6l bwCJ1Foi+o3bsB619ePfMLdb96W87KCAsfSbRlAgic5U26+37qLAlNny8z1m g/VV7Q3dOA9lt1XkgvB8t9WYzgQF3fKWljsxZ8ilK7E/U2Ck/ptwGGar1Nk6 7z4KQratFGNiHhcEBA/04/6KgqcPYy6IaJU8wqPAIbA4bBtmV2rzk+9DFJwL ihYXxyzsU7SHSWO909MDKnH98nbphYVhrI8NU8YOs69t3J3kUQom9C/ff437 l3pJ2S0fp2Dtr9Znqphr9d1HMiYoSFO49/Egnj/8v7VXFKYpGDBnh13Beqms 0TXLn8X6pjHUCrGerenZPevmcf43Ngdfw3oniIgklSzg+bzWoOP7SaTPDNM2 EqbBSyggbwP2p2+Y0/xchAbnbsbJFi8SXfKzidi6hIYPz6NfuGB/LbvKFd6L 0RDiV9ZRif0f27EWOUrQUG2+XmMO5yMfpQR8kqTBYUmhhCrOj1CxT1m/NA2r L3rNS+B81Q+zw27J0lAblLXxJs5jmr6LntdvNAwEm1qI7SSRfLV1ySclGuz6 Gl/vx/km516GZKjQMEz5r7dnYH3BRNdJnYY9VW6W4ltJpPdO68F7LRpYjFuP FsxINCFecDj5TxpiDuVk/8eERM8dFXWs9Gjoi7U2MDQgkU2XZPELQzyfnA0v V5tE4mtSgpkmNKgs3BEIa2K9vIW0jM3wPDkKrRtUSOTFG79bakGD1Pnysh5Z nC/tkKAjW2lg1P9c6SVFIn4IT1OLQUNFTAPrujiJTkywC29vpyEn3v2q2wKB TE1dAnwcaPD9pSfdME2ghehGdUUnGgo1+Lemxgh0QaSmIHMXDZnDZr/C+gnk bGvi7+JBQ/4Jv54nXALJpZaprthLw4y5M13YTqAC6YL8lP00vJdpN4x9TaBn qik3ow7TwL/coJ9xnUBxgUI+G0NpWNut6fn2bwIxik8pTRylIUCRDItPwve1 fkhu6F9Y7xirP0JDCJQVwdunw6RB11SReXk/gbyqfRSHorBf4N2r5EogPrhc 903A9V66H9pmjO/rxEZPpUQaLj1q2NqkSaCId9YK3GQaWiWq9M7LEkjgaJLj lor9mZnTOTrORayMMg+pdMybs++F93LRhS4t+Y+XsL9+xku8m7hIzkcxa1sW 7v+wotvpW1xE3s50F7mGz4tkpYSncFEBT1K29gYNzENv6itDuShYO6Uz5iYN ohHP78m6ctH6UKFMs9s0TIiWB9jg/+N4+Sm3qTs0aA3uvTIgw0XVE+PST+7S 0OmSYHVijIPiTEPajxbTYFnWydjawEGMGN5l3Yc0CDmWyzjncZB4rY8LVUqD 6cVQGfkjHNQq0i119xH2r/+dxfwGDsqydWn1r6Bh+YGDscRgN9qX2vi3chWu N/Ll2tIz3Wid7O/mWc9oSFqtkt1ZzUb/A7l5Og0= "]]}, Annotation[#, "Charting`Private`Tag$2800523#32"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdVQk0Vl0Xlk8hY0kiMoQPSYUyNGxFUSpTJaFUEipDUZQ5RCKJkpDUX0SS KfPxmfnwvu+95qhI3nsNGTJG/Of/71p33fWss88+z/PsffaVveBqfomTg4Mj G7//+x65RLEq6JP7oqT5ppeXl4FLX8Ltq7gm/KluPujzZxk0XsQn5oobwK0c 4YTZ38tg3NyRkyR+AuSWNhwbnl4GS/vZshhxe9A6bNxbO7wMvdvu6UeKe8Bc bv7b4x3LkCJqEnpfPBhKr0YvprxfhkCe3L/DxWOhtLVN3txyGU5bvfwwPvEa Gj8y8+qjloBvOdDGcNMH2G+uNmpW9QcUzH5SVRF5AOc1krRHF+FWiw7ETxWB lXKYwu3pBRDLW/NlxQoEZk9StxVxLEBBv34TY08lPDjGmFo1NA+VzkkbrUaq YciY2XiwaQ6mFfcKvb9WBy9ns8cMC2eBcz5DeKNCI0zJVF4zDp6BXct2BRZZ TZC5uitc5Ow0NAVrttSqMCB/4y3rCu0pkI4enk//yYT4Rfu9ITOTMDz79Uvb dgKWVJNlfeom4PVQSaNgFAleNzq8v/mOA89N0RXsBRK0EkMCD60fB0Gpt2MD A62wzihYV8DzJzxwyndIkW8HL6PeogTJEZjRyxhw9O+AU5IF4aFPaPBQr85b X9UJQw/IRd0DbPiaVR3Bku2G/Of8tdY1A7Dg3Ppc+fZn2MGsGNt6rh+s1+sW J//4DOXb4s8av+qDLfu5lxxKemBn2ou9gVu/gWGq7OWPYl/gTRZXoUPeZ7gl dU6uz+YrrM4v88/x6gDVkZN8Hce+QXVECZ+9CwkBNeO2lz9/A5VHbl0hgwwQ ERrnqf79DSpuGUdnWbcAF3r+YXNiHxidDCrMyKqFK5olXbzG/bD9tHNwuUUZ ZBy+kFI+0w8B1GhH541M0Pj/8x0Yj3IflBumwvSwhPDgk+/Aobqv+IeII+Rb GP4VazAAdld+eUUdeYf8jUJe5A0OgPCU3Jlp+yJEzxHp/io/QOCit1SUejmS 7T3S+SrkB7gl7X/KtKhEulrBseLqg8Aj2O++YbYO2WxizK8gB8HUakuiW34T EhS/nl/SNgjMf4qsKuub0D8iou6enYOwwTA3maenCbk7WYod6B6ESs/fnQVU E1Lktaao3kGor+p7eJ2zGY39GmxnUIMgzEpGxcebUVDDUm7S0iBUSHF4rPnR jNI81Fx0VNgQoJ586jYPA51xZSn/UmXD9tCgXn0JBhJw9viRuY0NMvMCmhyq DHT9XLGNzE68LjAjaGbCQLuPHDLm1mMD1T+WbhbHQC3SZ5XaTrLBZl409ZwQ E003Rva7BbJhJNe94uJjJurha3NcvMsG7TWlV3sSmKjyqOTYvVB8/nDV4eOp TBTd8m4hOYINXP/cdZX6yEQqRN265jg2HBUJO+nYwkRnu1YYKr9jw5Tlp6C3 3CxUy/bM6CPYUG+7b+iOBwtlKpXtuNbGBr1Z/ciVd1josRNX4VwHG2KdKujQ QBayG46pFurF+4/zx7lFsdDvnx9697Ix/6H2tV/estC2GVooYQHzL/T7JtLF QvFcZz3M5SlI03u11VWTQEsXxXayFCkwcHL0zdMhkH0Vc9pEmYKRiJpXY/sI tD1I/9YxNQrsq5kShocJVL+sdNtImwKecjsVL1sCzf7+5b/vKAVeky0azXcJ ZHPmvV7ZcQo4ggPj7cMIBLRcxHkzCjyso2M0IgkU5dUVpHOKgh6eu83f4wik OFMeomlHQammZbb2WwKdmgiPUPGgIHvOwcOnjkClpvpH02/ieL8Pr4z+JZBc 9iK/kjeOv3J9dBWDQD9dXKMU/Ch4sJF7q1U7gUJGTjySCaNgj7xEjskAgYaM Bc1f3KfA7VqKcBqbQKYZdWs3RVIwLu6tMjFEIEln3diNMRQoUYrNJyYIlMeW fro+Eevzuaxt84dAEoZdlnHJFMytrOnX5CBRwJuYDeteUtCazPVqkZNERy+t TFjzBue/ped9modEOdXlZ6LTKIh3jhAdWU2iDfJeG4UyKGjardt6TYBEA/1D ifzZFGg2lOfqriXRkQOvbSNyKNA7WnksZB2Jsl/ablqdj/3nsF8sXU8iHzvm C+5iClSdPTwnJUjUj8LtQktx/QK608ckSWQkrS+7ElHwetd/ajs3kUjkS34q ZzUFPtRDz2tyJIri9/X9VIv19e2L2i1PotW7DU5fbaDArkDZdVyBRKFOfBqy TRRwWda/jvibRJzxhEB7C/aX599P/Mok8qt9Rt1nURB2cFT1hgqJfk/ZVUEr BXldNcHlW0h0c7NS8lQ7BbH8sbt/qpJo0mzMK70L91MCb8MKNRK5BBRYnO2h gB/WpMxhPJTlqybyFet9+EiN2EYih14D3vo+ClIYW3ojt5Ooj49/wGcA87sz I7hlB4lsdMnyHWwKCiU1ZNMx7nRMeDZIYz4iy87c6iQ68fS8x/MRCox6lvYc xJhZo2RiOkZBtO1ffecxPjo1prxyEvtXkPbMBuN6uU9cxVNY3+zoS02MDcz8 vrrM4vzKNao0zo/8DxZv/k2B/NcEe2+MdbP44zoXcb1jW50HML+CHtI1chn7 PWtgqYyxOt/zIwc4aRgXi9MyxHqydC4ozHLRQF1/KbgX61VxVObI5KbhanwD ybuVRG+ejHfbrcbxgjuuZ2L/5Go+5YsK0KA0PFa3Gfub9MsvulGIhthzO/7j ooT7R+7QFf+1NGww3fdvhCKJYk0FDmmK0pCZ4z7sjesp7N8qQ4vRULpn3Rst XO8H758vJEng84Mkw6ukScTTc6HdXIoGnuNMQUkpEgWvVvnILUNDhat+IuB+ 4tCZiCiVw/k6P/iripHozuVCB3cFGgqFUn9+EyHRTJz/fkUlGjSvTv1lLUyi 69WHJD+r4PyPY8ri+UnkLNvGMthOg9unMM9TXCQaNEnMnFen4bTSgTrWMoEu +F28l7WThsRef1vuBQJZfZ7Ys2E3jedl0NYn4wRq5S0Sa96L96sPmdP4Pppq B0wG6tGw6P00fAjfX6M4wbThg9iflDJLqoNA1VVtQSlGNMwVxtb2MAmkN5lo e9IY+ykd+N2lgUBaJltEkCn+bxdnlVgWESjHd3L0hgUN9lPGa19lE0gts6he 6RQNzBha1RPPG0VeI78Ya6w3zFI1+jGBUrWErAzP0qB6ddXxejy/Njm0ayza 0eADnlcu+RIoITZJ8ONFGqK3dvnbuBNofZU9fcmBBuGrH2Re2hMoZmJLtYQT 5p+cqatgSSBBmV/JjCuY35OYsk4jAq30DTyh447jezaqBirjeTMxMo9u4PqE ijXcFMfz1+H0i0M3adjzzmOPAw+B1n2uMmj2osFRJVZHY4aFqk22DVncoSGs cdePkn4W8qhOeNjti/kv8at2NLOQvM6qnecDcL50GQfzTyzU+t69mx1Eg42h Vt9oMgsFy/X6u4Rgfy41vLAMZiHNp0YK0/dw/f0jOTdfZqEBvrzGO/dpSMt1 ZBQfYqHYAGk3zki8zm4SNZJjIYPp+6LhD/E6b0VWwBwTTTnNFAvF0HCCI0NI u46JXn85b/ckFvfvNV8ttftMdMKieaXUUxpMu1cMnd7FRPXPFU/dfUZD/cWS 9G4BBvovL9zaEg== "]]}, Annotation[#, "Charting`Private`Tag$2800523#33"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdVAs0VdkbRxpS3o+6RJgYSlGUSD5FJek1KlcqBukhoZSmFwqVyhhUJvJM SgrFjcR3z8nEeKdESNK995zSyDOvuP89/7PWWWd96/d9+/fYex89r4Bf90lJ SEhkk/e/r9M+9hX/8w7bmHkzh8ViMUjbawZ+4FiAdWTXrjOTYjBPTUx+wnEA KZtdvSPjYthY1/L4Nmc7+FeuTPk6LAZXn5GyOI4PNL+u0qvtEcN704v21zjB cDFVv8S7RQxp6luiojkRkFuwzXr4oRjCZZ/8cpmTAJlLf07J4IqB65ae19d/ B2x/ZPKDE6Zgpjh893qdPNj5QLqR1zAJBtt62RdXCuH1hQvLoqUmIaTeChKH SqDEyjutQ+MHzC5U7pSURChWXnTNzXQCeN32tQ02NMwZbx1rNhoH+tBtLbev FdAaHewfMncMhg1XKT70r4QWnd/kCzmjIDX2QEnLoBoU6NPWhmPfYbnYk+fy qBYc6uKrTwiHoTbCov7lggaoeN721LdpCObF9ozd722E1hJJlcbMQegZ+dDZ bNYEdukc3adRA3DnS2m1Qsxr4KZ4R7Jb+kH2hLokM/EajrsE+wz92wcK2tnf BII3cN7ExdFUpw+uHizyTZv/Foqld9apTOuF73YPBAdCW+CeTsrXwuQeCF5a UajxohViErJ/H/L+DB8eVVx5pdcGAeO+7RlSDEwcepNkfKodnsQMmFoUCcBd w/pZirAdsqIaxjwkBLBwtcyUb2kHyE8GR6QmdsP6DL39BbM7gTE5nDB/VxeE aHvof9z9Ad4Wny4fTOoAk687ZrZs6gIJL2GiX0ErhP3dt2d/excs1bu/1nlr M6gq9slWjHeByZMtiZmxb0Aak/J+Tv4Ih2s0vTubG8HPovTdjI3d4PiyRDOj 6x94sMErrfx7N3j29mcZXqXB/P/PJ5jG7dX5os6H4R5NJdGNT+C5WphqIF8M RS7rpyU4CID/Z8ZlJW4WhDpGphaKBCChnxoQNC0QP4823Q9dIATerS2hS8XX Ue+9U2tmpBAkym/c/DE7G6PplXk7LgnBLjDMlBOQjQPZJlEyV4TgKV44W/5l NtJHFSz8YoWgG33J/NSxe+gj2/TH0iQhpKWEae2rvY/3zN3WU/mkvhZvyT2R i4uj9/M624XQWGnVUPwmH60tIxI4S0VgF5mey+UX4VsvzvLbFiIIS+bOivpU hMdiHrXoWoogLYGKS/qJh7nCVk0jGxHwM7LizjnzUCdhUfrydSJQ0smldVt4 KNX/9qHLLhHESukVP2WeYk2OceW18wR/7B3/y3AJHnhbfkA5kqzf6eytqv4M paW2y12/KIK+nZzT3RbP0Nbt3KbkqyLwvDNEGwc/w3yZ169zbhA8W8PFtf8Z Jvic6arMIbVC6nxJUSnu1mkYk3wtgq0ek9wJXhkqcI4WlTYTPrl/7Wyay5BS VQ863kr6lc1jfx0sw6CDrrPXtImAswclp8uUo+EMd5Z9L4LGkPKOycXl+G1Q 9LaBJf5kQpQd7pTj+X+mntyeEkG+4UimaRSiRUV6gKskA31WWnOvpyMy5Q4L laUZMNu2crjqOaJzYXRGxAwGtgbmFv81gKieqvGnnxoDjVX9y9lFfLwXvPiI 1QIGqm5tG5WJ4+OugFfGgyYM2OmuTpuZwkf5Q8HCXFMG5jyOTO+/z8ejHs92 6y4jfEOB1t4UH1c6rdsoY8dAoP5NpaZePvY6fP6JWkPmvVU73o/xMQ2u0qfW knnf5tYqaQqllzVZ9TqRfrf96daaFNbP22vUvIOBLo/8/WH2FIZpSgpiuAxw Sx5UndxEobn6nVRHdwYcZyqFO7tSmCj3ReO5JwMnmXXVFw5R6DV8fHqmH/Hn czJF7w8K1frmULuPMGBUvOaJ4CaFlV9Kz2gEMcDPN3A9l0ahSZfk0OUTBB8N /GNpAYXD1de6A8MZkNVW945upLBjZvOBHxdIHrd9maAWCmnnud8uRjGwwkxz llknhbH1ORMpVxi4ZJnqvqiHwhOKA+ELYkjef+2T8+uncM9WK1leLOF73ud5 ZoTCBU2VanXXGWDpo5Ua02hUUlVM4iYSfxqqv6TI0jjislNPcIvw2+jWDcvT WNEsWDSRykCrsMVSZQ6NORomhVEZDPlfzZdvnkvjn67HrFWyGCj+uHaDjx6N e99JrjfO+c+PacEnYxodNDfUFeYyoHvuVdqrRTQudI91scsj/Z86z15cQqNK csu7mgKif+O4vPQyGkc7dDxdCwmev1Vu3QoaO7V9Rd08BhK1hDrOK2n8e+/D w0dKiN6D9Z/VbGnMTR0aGCslfg76jqfY0RjXtfL3yHIGRgcONLJraDypd0Gs RJE8PCXb+xxo9PCqjkx+QearK0KK1tG4LlN5ltFLBjxn3ey3cKTRRMCNe1JF +I+dDPXfQPQZpM2BGoIXWdnvcaJxbB+TUl1H9vuEqqPURhq77i422NlI8vLQ Cd9F6pfM8QcfmwjudK/Sm9S5RmVL/JvJ+S7yeqdF6viD0sWjLUTvdN+dYWS9 UzkbbSPaGEjLlsYYwufZE1eh+J7sr+uBIAeiZ51Jm1PSB3J+5QfvphC9i/z1 Xhl2E/1au4NuET9qjw64PhYwECYIe2pB/I735r1fxZD7sPnDkkNA9JmOeP/z mfCde+RraUNjZaDtl+1fCR5/KSuR5PuoIDKwq5cBicHrUtEWNCYM1H736yd8 ckbbZMxoPG2udnZkkOhze6Q9ayGNXsHu0y58J/tJfb0bb0CjY1HGZYUxkm/E jreJ82g0/f5Z8dYE0dfmbanBoVHDcskNgylyflXq/p2uQuOPkJNzCyRYcl92 5PwmR+OnYsywmcbC6BLFFH0pGqvHfjKums4C1zrfb/UYhfnWm/NcZAl+tVCD 943Cm6evL/sgx0J+Qf23ECGFPpM/r/muyEIjt9TneT2FTrZ+VeEqLGxtmmlv TFO4JPTxZnl1FgL5krFPCymcwx97kzibBd1jz/zd7lI4JbHafb4m6Z8MDhbf oFCw+tLHvLkEL9tzNDGKwprzDftXzmOh1XWFtvJxct+l9wb/Op+FKuMjZ9Zv JvPes5e9MmSh2CP2PlgRPS8ah7cYs3Cvfc725/oUVutH8+oXsmC3JFbxlhyF ZuftQzYtJvjvdify+vh44+MPy1ozFjyPqmXVvOHjDzveqJM5C4kyvMWFPD5W iY1OOa5gge3hF5cf5eNij27rSmvCp5qsNNeZjwnlSRNrV7EgEfr44UM9Po5r 73heASzw9YL8jwkRPc8qnLVfQ/ytLVh74Qziy47KVbQD4TN1Ts+fjmhiEz5l t56FPlORVtqZcoxLskbcQPL0Cl42o60MR8YHQ22dif4W+RndimW4e9dDu7LN LJgJBrRrxkuRLvGVtNnGQtqmw/EBeSV4eSqg353Ufd35Uz0rSvB/Y8N/Pw== "]]}, Annotation[#, "Charting`Private`Tag$2800523#34"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlQk01Psbxpm6km6WsjSlKEWFsrXZntJCo/51SZaklCKixdZ2Q6ESNbfc ji6zMJF9X7IkTIh0ibKUNGQmGXvJbu63/5zzO3Oe83ze532/3/P+zm/liXNW pyhiYmL3yPPrn3aq523ZNxtTusqCUZFIhLk7l57/TDVAnG2Rx7UZEfRZUTE5 1F047lCmOz4pguWblmwG9RDGWG9T+kdFsHUZe/6A6oJT+xTtGoQifNp4a2cE 1QdXDSb/8mkRga1wIDSMGgxj3X1RW9NFCJLM0bhDjcSS28KyDHsR7OxjM4aG n0D2yZ9HRFGzWCAKcjRfkQFVZyfNp20zWPPHQA/3bi5uKenVpyyegf+/2xD1 oxC051zll7rTUMqV6xAXf4F7frUjC2ymkN+1s67euAKyh99dbDwyiQp3xjL7 vpeQ7Tsm0350AqPqJjJpntUYjDpZcPPMOCgTKbLL1tRiyEE3zNV+DJtFx/Ot 0+swK7Y0N8rmJ+qCDf6tWl+PPC//b85Wo1ChCyeSBhpQ9LNjpdKmHxCOfe54 r9MItvlvqVJrv+NJb3Gt9L0mvCk7UGZPGYGkn4L416kmqHc/bePED0N6+dPB 7u53MJlY/mKGN4TwM3mn2aubkWk+UqifMIif21O63QJasFYxt4ru1A8fvZe5 itxWHCpuO6W9Q4jP6S/vvl35AZ4/hlPFpnsw5f4uet2Vj/iuwGtMeSXAEUXD Iib/I8YlUzvuLhNAc8e82dPF7TCRW6ymwu2GedxK1yylDsRbiIfSYrrgv/zY qk7Hz9jkt+ifVfE8aPXZLGjZz0PJIu1E51ufEFg5dNT1Iw/TOY8CYyw+YLHM kOTLSR6ecVco0OltmPsiOkMtphPGiTdrPk6/h4dBcdt8yy7s6j0gPWTWiJS9 J9ilP7vQyjmZVh3xBvr//33BPH3/Mm/j1xgVLpUVPPqC28PRrpNnqpFnbT4n clc3Mrt4160MyxFgEcLKFXTjoN7Vx1yJZ2h0cnPU+dYNtpzG7FVeAVb7WlJT hd0Ymi2RsCwqQG2s3EPOUDd05JPuaHsVQH6KEfpgkvBHE5UkW/KRmJbveV6a j/Oa2nV6aXnoHW9MCljPR8jDKckehVw0LOox0trMR9nX36R9zuZg1brX40+3 8qFq4BZP25sDX6TnqRkRf16ymIl6Dpae9dm4bDsfgRdV63152XCpFFOTovFB z4oONzmcjXF/qlTPUT6OW3RtO2yehZWfaK2cED7EIisKKm+kI6zCKMPmNh/s PfJaM6bpGHmqFTrvLsn33nzozlQaKi5KG3jQ+eCd8NPi+KbBRbLxvl404U3N +kc9U5Gob29enkn4jgsbB88lQ5ZKW+GdQ/jquqtdusm4PGs4ujqf6IfW5w1/ JIFWo8y5XUz6/3ixbPmVJAideLMHqsh8we4PG8ISsSHMNb/jI8nXrRRXK0/A o3N2EfQOPrbbByWJhSVAdGivi1knuY8Y1gd76wQ0qGguShCQ/M5pYcjXeFzI G/D0HCb8kWuyEwrxyOX5rpmWEIDnUuWlHMGBctXp6bT5ApR1FeVznDgISbFt Ova7AIH8iNAaHQ4O+20L4soJINby55zp5jiMLZhpD1MWgM1kFR7UjMPx4f4c YxUBtotTRlUocXjV3BE2sJLUDxp+TWiLRVRs2VYrDcI/Vi3qDYuF4ZbgSKqe AKrG0fcLf7LRfIK6mWEgwHGVqE6JZja876W3qG4h/GwERS6fjVR+69K1xkS7 vRV6XGLDQs6rJMWUzC+1b0ulAxt84zlOG3eQfg7Zjn0mbKyI1I7dvIech16/ sUCCjaIXFWZFFsQfuJ5b08qCrdC228SSnOfzyZKeeBboZjc0dh8kvNUXLnM3 C1peSjWvrAi/3s5v/xIWah6nuu+zIf4mmtVgHxOU4eY0awdyXnvJbWYxTDCV zx5ocSS830SpjD8TRhbiww7HSP4p6rX5h5ho9X70oMOZ+BeuhEKfCR+WpsEJ F+KPbKmtkGdC9nXZe/5pkp/iS40fZyDtp43/mTPE1xoxmehggLZKuKTfg9QX HP29qZoBwf7AovNexK9Ov2yew8CNywqOP86TeUrzss/GMqASnzzj7018rtFm hwcMlDSANeVL6kvnjqwNZcBu+t32gEuEn7fs5PdrDIxquHdRrhLeq73wvR8D D6xFN0P/JLyYDWXAm4ENAZFrpAIJ3x7+h6MPA6+T11VH3CDz+oaPm11iwK25 1E0uhPhuoudVAQzMpRyS+vsWyasNU5G5y0Cs9reUJWFEK6rF7PmHAVP76/tj wkm95IhkdBoDH4IXD6rcJ7owa8SkkgH/zEQ65y/SP7Nu4alOBuTbTfQ0Ikn+ cuozGoWJzHlNTcmPCK+ZeX/DWib26bv5bnj8635N1A5bM/HNaUYxO5roKJPy hcFMhIY9eLaJSeo75D2TiphYla/hUMgmmltHCR1jorSzZMqYQ+ZLaIiUMmLh yEIrRlk88b3cFyWHsDC+9avprkTS750rjd/CQqTLNV51MvHX8LLUqWzo0OVu WKaRfc6K8OfS2HhTnKBWn0H2Oe4aTz2IDfevRpVW2aQ+47KwpIQNicVvTzfn /tof1SbKLBtxpqclHQrIPgfXa9/dHQu4TyV9KiT7vve7+5zIWLT/Tbd0LiH+ yJ49Rr2xuFS+pr+7lOQHuats3BsH+f6ie27lv97X0nzF7DhkLTmo08cl9c7q zVfUOfjfLv7bc1XErw23PZzIQe+5K97fyXdJ1Umrnmb4BKHRMgr+r8l8O3Ps Jz4/gVr1k/zJNyTfOPAyhxmPspFtdtcbiBaue+5xPQGOK+onxJvIfQVZsHQj nkKaejGv+D3Rs8bq+ZJJKF+scMG3leS7HhVuME/BUkbrmOEHMn99+IIZiQz8 B5W4dxA= "]]}, Annotation[#, "Charting`Private`Tag$2800523#35"]& ], TagBox[ {RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdkwk4lWkbx1UqIZEsR5Y0ZOjUlEylL/71yT62aVPZaiSakSUNWj40pYXU GGUPpSlSyDKiRBhy3rNwcBQdy3nPQaQj2Z3OvPM91/Vcz/W//vf93L/nvq9H /1jQj8cXysjIhFP739Ph+GBLzdB+y0Q9hQmpVApZK63gHpoZ6JKzkeclUmzJ Sskooe3BzHyt//SsFI5M3rNM2j7cW9FxZXRCioO+Uy8Tab5QzljTxB2W4v13 V6xu0MJgMd/rdpEnRbaaS+x12iWUqxonBT2VIkauxOgaLQldjp5n4g5L4X4o p1A8lgu6Yfu2soyvUJDGeNjqFmKXe15WU58Ehm6jg3VxpQieDmwq05cgnGWO lC/PUd5tN/fedh4apSr8BQtewW7moCItbA7l/VYEe+drpDWc5E9ensXrk5mr D43U47/yS8x0k2Ywsc5ixZPARjiYR6nJFExj4cxj5dWGzchfw5NO5U1hq9Sn fO9TAuXKbGNRySSIS2asv03YOM6TXr9RPQG9W8MzeaMcrO28+ehO0RcMT/Xw 2ze14pYJbCeLx5H7oapZKYGLT74/GJDpnyH3q9qCgTkuEjV/rFfc8xlKOg8/ kWQbzp775knltTHEB5T5ZRt0gL526wvimhiTux6T/lE85L8xkt4bGkWYaX2p el0nOJ/Vve0HRtDztD6uRf8d1icFVj6s/oC5k23pxme74K05kpj55yCOqO+o vCvsguIv2tatCwaxfvfSr35V3Sgs9zoy/VwE23v6J4o1+OC5fZ9S9YREuI73 2j6PHgyFK4e6svtBH9mvwHPqhbytrELokj5EN4g9T3T1woNp6BA1x4fqCrFc /Wwvun+7cjjaiQ/ZV+mF32T0QTF01vj82Dv8bFb1dpljP2q8pv/in+Phsf2x 7OrJfpBqIVPhbm0wo+tbYqYfSRN0lw02bahW6u16NdcPj467QtGONnC4nhq1 MgLsyi4g/Qza8MXzUEKdvAB2FUNNaVNcWIa6nm/SFaBTV8Wed5eLLf9fAjRl Ga2k2XDBSbN0b7URYP4nxUK2uBUTw1rKojsCKL5ZpxuQ24KkzIHGjFQBek0e Bd1IbcEWl9KovRkCiCtCDZ4ntCDkmdOnmhwBOEfNJ9dFtuBjRDQrvUAA14RL Ek/nFggXi+LdXgvQVs3LspvloF2veNnLjwJsdz36MtWdg7CWC7WnxQLsHOi6 yHLmQPU3h0iTcQHcGy/sXm7NgZtIMJg8LUCw+QutvM0cMAvUm0IXkbjltvW0 pwIHDebnY7+lkahgJrrmxbBRttd2UdIeyn+/3lXlJAtXHSsua9uS8BcOWGUc ZsHDyljugT2Jb7Xm43Y7srBwi8LycmcS0xdiC7rpLDivZKt3upPoXZ/81meM iUHOARPtQCo/58SaZdFMVDU1FuQGkZDr/+QaFMpEQs327zaEkvCJFT2b8mXC rEjLzDKcROeli2khDkzE3ORb+MSQSPGzoOtoMKHl7OeWe5uEeHPN/UUVBD5a 87j0FIr3durvAwUEaizsDpSlUXwPft86l0PAb4PJkb+zSLiWBR0ujydQojjq O5hH3d9+c0W2L4FYWe+B4AISHK+QQMMjBA7PswNmnlI8V+fChW4EZEaKT8mX UvxrEvy1dxH4gXEmgl5N4qpn+9s0PQJ6daLZ0hoSg98/tDTRJPC58uAFizoS 25/FPpFVIZCab37RuYni3bjb7sEiAr/cy5flNVPvydfYFCJhYFfa6iveTCpf V5LzxxQDomuSuOBWqn67TsfQCAPPY04pzbSRCD79YrnhIAPxkT23YngkHtHX NTYIGPAOcVWVf0fFF6pGcHoYMA2ovZ3YTSLbU11s383A4qOmmqt7SKy5yT+2 7S0Dne730+73/cu/MuxuBwMFrqt06CTFt3Wh9eU2BqLsLmeViij+krRLn1sZ aPXy99g0RELm+scdYy0MGJxxpBUMU/1KEZREUTo8bmOH0SjlPyr6z5+Ubs5R +eO+mPKrlGcDqXztii8ueuMkIrwTVPu4DASxeIrpE5Q/mtgiT9V/TVa+UZ8m 4W6zlDvVycCquczYxFkqvpFvW07x+6nEWClJSNjtL91xoI/qh5GvzHUpNU+n +pEhEQOKlrYvFy8UQi7A1CH2IwNe+0zOxsgK4aM//j+rCQaKTi7fJlkiRIW1 U4XFVwYWxYjHI5YJIXY5Y3BHjsCBZG7RFwUhiiwuO4StIvDoSXlgsJIQMpEu gqVrCczWpZqMKAsxuDH6dNxmAk7vzg+cUKW0ZaSKnRWBbLF3rkBNiODiAKX0 g9T8l1gd9dak6jl1s7+eIrBHZ51ul5YQnfz9XrTrBJK3LOs6oCNEis3Po+15 BD7YjyS36lH81bKZt9kEdvqw9zmvpXRc/lCyhEDCr89Umg2E6I36Oiy7nYm+ +NssayMh/BsSjp27Sv2X+xFxtcZCZDsqR5tqsFDvX3zWx4TSRRPO9YEs/APG xtqg "]]}, Annotation[#, "Charting`Private`Tag$2800523#36"]& ], TagBox[ {RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVU3s01fkWJ9yOFPKIQxiEyqFWyVQeH68ScpPHIERKoge3zJSrx9G4zZRn MsbyygkxGUQxyRglIxmJUqrveTi/n+l6h7zTOfd3/9hrr8/a67P357PX3obh Md4Ry2RkZI4x8f/sHjHY82jIzz7TQGlGKpVC3lknVsS2wpn+j0nnv0ix9WZO /j22C+40Z2XPL0rh8byvtoDtC/9DBvg4I4X/kbmmTPYR5HIcSt+MSCHY9INz KjsOfRmb2lL7pCjS3HflGjsJEqNH4QVVUiSy7pldZWehIcH+ilOQFAGBvOqJ yRIUzrx1eH5TAiVpYrCrfjVsQp5vyxz8ApP944NPku/jWv61ktMWX3C2awdy phvQdvllRviBJWjdXy2UlW1GlvetnyzSPqOecu58YduClvIz2879soiW6ALd wNFWtHevy/3yeAEzpnYqlSefwrr3XXT0wDyWLVSo6pp04JRBHps3PgdraVi9 T1UnuF26eUXyc+hMsupq2/gCgu0pyT/rzsIgY2Thl/Fu2K9oTj+qO4OROZHw 9eaXuKMW7zS0YRolw40dymmvcHBcbsrN6BNY32nK/vfzK0ycaPdhvZiCsl7Z x4GBXiwkLP8Qoz+FlKi6o0Xr3mBXVITMkPkkZh0qBo5d6sPgSOD2iyYTiNvS en/Nk7ew7Bv0Eh0eh6iqNbnH8D3iJ1N5VMAoPkf35m34N8ETQWHq7oPDCFqz 82Hh3wQxDdqpgpYhmDsulxxt5MO8KHCkKnUQrrcMI2u0hFDau2+dGu8DzuqF GomDRagLinc1owbAGfVT6vPsh07Cktt+GxrcPydCIkk/wnne1uS1GOoqE6zW xX4c4AXq3LkihnxzXrVxvhgdW5rEwUr9eG/rskdUKIZl8cbv7RT6Uf1wtD+X J0Z5qfsOJ4kIB+rt1NTKxAhz17tF/S1CTaUoTqZWDA6Mxk7UiXAw33in4KkY reVnMu/5ifAgvqI1+5MYvRqXOefyhEib8wnxnhXj7pT0J40MIQ5/uzSzakGM +yeSFBqShFD+l6fZfyRicMeGvHROCRFx7OPVM4oUHqn6cBwdhVDz37rPy4DC 9qmR/dZDAhy3anyn6EGhU9Iul+UgwKPu178+8KRwrOdu78/WAmienLgU6UUh K93lmzKOAM2lJqZ/+lFYWWFuOqwtgLpWxmluGIV1y4Th8lN8NC4cUZr7loLV +r/GGm/zoZp9SVh6jsKPEb+N3ijgI2JLbo1vAoV2BVP3hCw+VI6/8K/lUrDd qecff5mPw/wdJSeTKXBdDPk2oXwoNSvbDRQx+hUq1m9ay0dY0AbVG8UUVJuy z63X4KNuzpl2vM3MOxtW+fVKPkI3x1+9WUFh2uCiVu4SwT0e/fpAPYNrN/Zw hQQse0m5YgPD13dbZtNHEPJe+/yDRgr5up7XVbsJlqv/02jNY2YfyVNOq1sI gpIenOr5i8JSSo5jUhnB3a9eOXK7KOxJd46y4hEoNI1pbOqhEJvoFsXKI6ie MWpMeUMhQKYzxzCdQD7TLs3mHeOn3pIfdZUg0DLg0DChEJypZ8L/nkAuMnX5 HjGF32dvu++OJwiQK38/S1MoT97u7hRHUHmzpbL0A4X5Wm5hbAyB/9s5H7lR Zp9jmiWnjhL8GqdmVjtOoahp2MAlnEB2tcVi2CSFtWPJ2f4HCSrcwov+mKXA iq654OpPYMUxtMcChb0VZcmhvgR/KPeT5s8UerUVt/2+n8B1sjDeQUJh0FYq PbSPoPtViNZjGRolMZ5Lfp6M/vq1dY5yNGy535ECDwIqh3i3KNAIu8RTdnAn OJ6QO+HEopEyLzvq7EYwHRKY9mQF80cG1sKaPQQXHLQ5LqtoFKko824w+B/G fc9aVWjkfFOTMc3gDIXsyF1qNOK+Oq5GMXz2oK9CmwYN1R51oxPMvFsd6sW7 tWjsVVTTvM3o4VS+dHjKZuoe7KoyL4K69OtC17U0XCQPq9IYf/anvc6369OY d1uxLTGQ4Kmvio6bIY3+hMy4mlACr6+7fntmTOPuqovU4UiCd+xUP3dTGud5 u00XYwnClzw+daynEZz8YRfrAsGIcMV1D3OmHzH+dDmFIO7xM8tOC8bfymrX Hcw9SIp/7Ny7mcHFi+VpzQQ/XHGNfr6FRq+E8jCTEPjMTCRabGX4MW0bY/X5 +B9Zo0xT "]]}, Annotation[#, "Charting`Private`Tag$2800523#37"]& ], TagBox[ {RGBColor[1, 0.75, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVk3k01Wkcxt2mxYySCF1qRFNjC0mhMR7cjBIzJZKyJa6lhDI6NGgx1tKI meGQsnSbRrlDVyIiSxnHlpQR3ftm/K41S2Urtzvv/PGe93zP+Z7n+TzPe15N nxAnv0UyMjJO9Px/2/sNPa0ddrG8oiE3LZVKsZijFipim8AtTpD6k0SKrdcy c+6yd0K+gFc990GKPa3dpVfZztCP9uudmJbC1Xe2+grbF5Vazio9o1K8Mkzg XGKHw0PdI/n3bimuK/8Qn8yOQ5RSTlhDsRTnZO9+ncTOwPonvELhYSkOuuXx J6cKkeg4sjks/xPkpOfc7b7kI/6OsNxzXIKN+8aH6lMEiDDhl0ebSnC6zRyZ 7yuwXjv/ACdoAaqCVUIWqwb5JalrMws/4l4/p6Xdog6ZZQEPVzd9QF3QVXW3 sQbEtA0bFA/PY3rTtyvvBD/BYqHqkkDleSyaL1JQ39iMh2dfzyTozmG71Pve /uIWhBctlPjumUVLnEnbY912DJX0mF0JnoHGL6Pzt8Y7ENBqU8qOmsborEj4 3KgTxMN2ZjLjPQpHHjTLpz6D719Zgxuy30E2Qpk1+PEZ4mI6fbwc3kF+3c2J gYEuNKZE7HO48RYXA8u41796AU915VbL2inMWBUNBMR2w5Y1dfl90yTCjRsE KvX/oNbGoNG6aQKi4oaUp5ovkbT5bPpy0Rt8DOrK1onqRYhcsOkx2TEcVtlR mcv0Qj7wkUJ65Cj0rJd94j7oQ6Cqyg5fjxHY5Wv6l6gK0a4Rdl4mbwin13lp vXYXgdN3OTd57SB89hod6DsigoPVtlyhyiC+v8BK7uaKMLZp3GrbqkFsGi6Y ag0VwZgsuzSyZBBdgqHayjgRdHd/pxIxIYaRw0mvjNt0f2ma3pp6MYaifs6x WxDhRGyfpOW4GCMH9ALyZAi+2PWvdoK/GN6TSos0PiOY1NW3s/URY88GZpua LEH44mPZra5iaCUlXFVQJNAyXBGswBGjw7nluGQjwcU3cvdPqImhP+Yi1+1I wDNfpmPcyuC+s0NN8l6C8x2uwUZNDDjVNqcs9xM4+6XBtJ7BoVTD3hsHCbSF erFeFQySjD4vCj9K9bv2l2vyGKzOknpqcymftxbvWB6D66wZxb4AgrhmE+/a HKrf2R/FOUGwnjd7IyWdgTi8yl4xkmCEX98hOMfg5KvST41nCPSbh5y9oxlI bG+VRsYQCC+XGahFUn3V39ReX6CzbsiuB6GUryJkhJ9K/RRc0h97M2jT5OYe TaN5VMbl5twpb7K7k2oGwUsbBbalG9U/vLsyJosggCUTv9yJ8km0kh0LCaps W0jPTgb6XLYl6yZBm6593QtrBuVtK98KbhEURp/3m7ZkYGO6lBdwm4AbFBVp ZkH9ri24reUTzBmWKhSYUz/Zdys6Sgi+HLxzz8yU5gsdfnRBQLA9g0mRmFD/ HtGPpuW0D//soBljms/6hc5oBcEf2s5rdLYwSPyz5VVuFcHbcn5SjiHNq1Sf 5lRD+4+qtnYzoLxnKmyX1hEs92rqDdxMeQf48xUNBL6/OvX06tN+HXj0exIE NQr6a+nMKcs5otlM/R8XPDOi+23r0pWft9D3+mbEwZHqHYpP+juxncCTsQvf ZUR5x2OjLToJEiP6LU5tZRDmGrFlsosgt9xF6YgZg4Wa40xBNwFJ8vX3sKK8 2kezXF/SvjoP9djvZVDBnS/Z3UugaB5TFe7F4D9JYZ2O "]]}, Annotation[#, "Charting`Private`Tag$2800523#38"]& ], TagBox[ {RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVzn1Qy3EABvCWdynJ64atiMo5b6XjznpKUcelE/NyKqG85G1I4jhkV3rR VXMaQiVvV9ahFpcxWnGTWjXC97Qwpeb3a7OtWlM/88dzz33+ee7x2Hk4Mt7R wcFhsT3/e038ryZFlyBAzHOyMAyD4cEcoZbtB87z8PzTgwx8b0kKnrBDoO8e 294/wGDt+9bHN9gboYi2xBksDDbH9cnz2HFw5easIHoGXxemBV9iJ0K+Z+ns wlYGhZMjUjPYIrztUrZ0SBmcH/3EK519GXMTwzl7oxhs2VpUbjCWoMDwRa0s GYITcz4qlFuO1vRjBadNg5iznv5Vk1kB4W1uUkzgIE40LIfE/AxqXvlNQfJf TK2Y0MZivQR3f8NL0VMbZN+D6xtXvEahb5h3/I8BvE64MX3rbyWULGlUkPMA LHP54x8efANFcV1VRpAVjtZS1+lzVLhcKSpqju2HPxMr2yCtx5CwU9Kb2Yd6 kV9D3bxGXDBO8DM+7QUvR299QKuhFm+/wmq2QN+nbfuwqBluAcnSLVYzSrqr VS7ZLeDf9ze7uZgxOmkyq9PWArd8p7KVShNcZt7r0ek0kB1wKH3kZULWvsrd hZ4fofOpoZIj/6A3sFS392wrftYGZeQfMiJxibJiSs0nSMVvhofdMkArVWY2 eXxBWmqI4VxeD2wJmus+pwjEm/P4Gk8aG/2jcxecJfCWS2ZcdadRxupI9RUR VByvtAhn0IiR9B3hZxOMpNtPbJ9Eo2rXuT0rxQQzhR35J11puC4cEx0qIbgr oGQPx9F4VcsJW19MoL14fN2hETQ4ubf5m+4R1O8M8mE50jgaNd93WxnBldAm 5+ohCu+8Kr1jHxGMitRNLbJR8DTxufEygkUu00qe9VM486JuYkI1wYXSb6px vRQ+pkeMOawgMASqeXdMFBYIPg0dqyVQxczqzjFSSHPfYU5WEXhEFIfoeii0 67u6zjQSbApIcpfTFJZVHdWmaOw+yZevtTs3xaZJ+0zAe2+Vd9rdHS5SZbUR rF6VslRg3wtmOytyfxA8CJgnO2D/I0n4Wi3+SbAuO9F8bRiNf/PKoCc= "]]}, Annotation[#, "Charting`Private`Tag$2800523#39"]& ], TagBox[ {RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwBEQLu/SFib1JlAgAAACAAAAACAAAASmXo0cDpVT6THwv1////PwRDGnDf GTQ/S/9Zn3z9/z8zn5icsxlEP+pqOwD5+v8/S83Xsp0ZVD9wPrbl8PX/P1dk 972SGWQ/fgaRP93r/z/dL4dDjRl0P4cZLi+o1/8/oBVPhooZhD9KQDYDB6// P4EIsyeJGZQ/Svd/0ehc/z9YWaGv8PGkP1KjfWrzpv4/C/+BXEcerz95MdQN TPj9PyVR7ujDi7Q/hr4CXr5I/T93zjk/mPS5P45CCHqshfw/F7QR3gEBvz9H V7ylhMv7P7biQ8zPPMI/jDqHA6f9+j/Cap0bWezEP35IzK3LL/o/9SY9D61t xz9IJ/JB42z5PwL5qxAbJco/+iTdp/6W+D82/2C2U67MP3Lc2TSezfc/zIQ0 zsYqzz+eGJAsdAf3Px+Q6/mp7tA/BOE+7/Yw9j/r99/e1TDSPwh65lWMa/U/ pOq7yg6O0z/pGv0IRqD0P26XTyNqk9M/SADtOWid9D83RON7xZjTP0YuggqP mvQ/yp0KLXyj0z8lGLQM7JT0P/FQWY/puNM/PD2HxPGJ9D8+t/ZTxOPTP3sg nhoodvQ/CGSKrB/p0z8Rxqb7HXT0P9IQHgV77tM/9cWZHU5y9D+cvbFd1vPT P/yg5bfgcPQ/ZWpFtjH50z8SG1EQX3D0P85Aj2Lf+9M/MeaLVEhy9D8HTgmJ "]]}, Annotation[#, "Charting`Private`Tag$2800523#40"]& ], TagBox[ {RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[1.6], Opacity[1.], LineBox[{{2.040816326530612*^-8, 1.999999959183673}, { 0.000015355283783083483`, 1.9999692891966492`}}]}, Annotation[#, "Charting`Private`Tag$2800523#41"]& ]}, {}, {}}, {{}, {{{}, {}, {GrayLevel[0], PointSize[0.011000000000000001`], AbsoluteThickness[1.6], LineBox[CompressedData[" 1:eJwBQQO+/CFib1JlAgAAADMAAAACAAAA2e2/xSWf7D9Q6S8378bzvyMUy3KY n+w/Mu3+6iPC87/Q+IOf4aDsP73Pfr/Gs/O/kc1x9dWi7D9gUg2d5Zvzv6Wv MBMxpew/ZVA+25Z6879nykicmqfsP4UA9Br4T/O/22ZGGqyp7D/UdJvbLBzz v8gUq+L2quw/cRhR71zf8r8jCdhfCavsPwuraO6ymfK/1H2bWXOp7D/zIozD WkvyvyW3zBfJpew/r4/RYID08b9+phlppZ/sP8tMy6VOlfG/HiRWtaqW7D8w 59937i3xv3kQE0+Diuw/EVWPCYa+8L9/ucQ44XrsPyK1jUo4R/C/JF5bi31n 7D/DSr/ySJDvv1uV6KIXUOw/2hLgncuC7r+ouFksdDTsP0+g/nkmZu2/np7S JlwU7D+E6/1xfjrsv5E7U+Sb7+s/6jBiG+//6r9w5BMQAsbrP9wfMV2Ktum/ DNYtvV6X6z/zPawRWF7ov0wyaX2CY+s/WdTgmlX35r/YhRd+PSrrPz0eYWJ1 geW/X8Vzp17r6j+/YmA8nvzjv4c127mypuo/VFfUpapo4r8bwCNjA1zqP1Zh GNRnxeC//0MvRRYL6j+EVX4VKSXev9a0dOWrs+k/DlIxU7+f2r+UtV57flXp P30YZsLM+da/NM7WkEDw6D883LztYzLTv4sNyWSbg+g/VNeO59OQzr+JwGT6 LA/oP0w9EgUfdca//eOkuIWS5z+SO5LUHx28v1HnIHMlDec/4t6iz+9lpb/k tYOld37mPwyHbYCxc50/w+xck87l5T/CqhrU6Ry6PzRpV9lcQuU/oRkRzLbM xj/qgIrCLJPkP379Fd9feNA/tEbbVBTX4z8kPURa4MHVP79wfGSkDOM/70u7 vY9I2z8q9JrdDzLiP0RxoU3PieA/VoCQWAZF4T+kZ7DEKJbjP8t3c+N4QuA/ sGPDg3fP5j+rQbMjbkzeP1dft20mPuo/OijliXvU2z94KSa8S+7tP5nvGBS2 Ctk/wP0fqTH58D91/UsyR9DVP5yIa6qzNPM/eapfX07p0T90wxktt8f1P7/6 +a7Zd8k/3KLzxVf/+D8AAAAAAAAAAAAAAAAAAABAsfO6FQ== "]]}}, { {GrayLevel[0], AbsolutePointSize[6], AbsoluteThickness[1.6], GeometricTransformationBox[InsetBox[ StyleBox["\<\"\[FilledCircle]\"\>", StripOnInput->False, FontSize->Medium], {0., 0.}], CompressedData[" 1:eJwBRQO6/CFib1JlAwAAADMAAAABAAAAAgAAANntv8Uln+w/UOkvN+/G878j FMtymJ/sPzLt/uojwvO/0PiDn+Gg7D+9z36/xrPzv5HNcfXVouw/YFINneWb 87+lrzATMaXsP2VQPtuWevO/Z8pInJqn7D+FAPQa+E/zv9tmRhqsqew/1HSb 2ywc87/IFKvi9qrsP3EYUe9c3/K/IwnYXwmr7D8Lq2juspnyv9R9m1lzqew/ 8yKMw1pL8r8lt8wXyaXsP6+P0WCA9PG/fqYZaaWf7D/LTMulTpXxvx4kVrWq luw/MOffd+4t8b95EBNPg4rsPxFVjwmGvvC/f7nEOOF67D8itY1KOEfwvyRe W4t9Z+w/w0q/8kiQ779bleiiF1DsP9oS4J3Lgu6/qLhZLHQ07D9PoP55Jmbt v56e0iZcFOw/hOv9cX467L+RO1Pkm+/rP+owYhvv/+q/cOQTEALG6z/cHzFd irbpvwzWLb1el+s/8z2sEVhe6L9MMml9gmPrP1nU4JpV9+a/2IUXfj0q6z89 HmFidYHlv1/Fc6de6+o/v2JgPJ7847+HNdu5sqbqP1RX1KWqaOK/G8AjYwNc 6j9WYRjUZ8Xgv/9DL0UWC+o/hFV+FSkl3r/WtHTlq7PpPw5SMVO/n9q/lLVe e35V6T99GGbCzPnWvzTO1pBA8Og/PNy87WMy07+LDclkm4PoP1TXjufTkM6/ icBk+iwP6D9MPRIFH3XGv/3jpLiFkuc/kjuS1B8dvL9R5yBzJQ3nP+Leos/v ZaW/5LWDpXd+5j8Mh22AsXOdP8PsXJPO5eU/wqoa1Okcuj80aVfZXELlP6EZ Ecy2zMY/6oCKwiyT5D9+/RXfX3jQP7RG21QU1+M/JD1EWuDB1T+/cHxkpAzj P+9Lu72PSNs/KvSa3Q8y4j9EcaFNz4ngP1aAkFgGReE/pGewxCiW4z/Ld3Pj eELgP7Bjw4N3z+Y/q0GzI25M3j9XX7dtJj7qPzoo5Yl71Ns/eCkmvEvu7T+Z 7xgUtgrZP8D9H6kx+fA/df1LMkfQ1T+ciGuqszTzP3mqX19O6dE/dMMZLbfH 9T+/+vmu2XfJP9yi88VX//g/AAAAAAAAAAAAAAAAAAAAQL/nuhc= "]]}, {}}}, {}, {}, {}, {}}, {{}, {{{}, {}, {GrayLevel[0], PointSize[0.011000000000000001`], AbsoluteThickness[1.6], LineBox[CompressedData[" 1:eJw1UVtIk1EAHkEP2QUUBTVzZCUKRV6CopxfD4Kilro0S1bqxAuE5EjRjIaV dqOaSAlqVt4esjDLUiv15KaTcDnF2UqXTtecm7u5uVJIzX//vw8Oh3P7bmcv /zI3ewuLxQrfHNTsQqL+8FGL1E6uebZFz5Y+Rphp3bBP7Fo3o1cuJNIOO+n2 r1hM6m5DBndnvbbOdf4e2YmRU9WldlJbQ+EjKljLvisJrvt9UBTWTR30sxNj ErXTD4F3koU3Y2PeD2D7qzzzuxobcVM2FXDchmAPeCBJi7MxfF/xRjSWUba8 RIJ5IrEjSIbh+OGW00+WGP4RhOhmis2Hlkjz5mtl0yjcU0TbbvdZGb0xBHx4 GHss2krCnRiHJJbYYiotjL4Ckx7q+uGbZiJxBG0qTCDhxfrVwBwT40eJ8sU1 gfC4kXCdgj9gCOHvtmwYGH8/oWKHXrjfqSezpRThJOyc1+7nLi4wflU4r1DX pvydJwLKXsEvcPwz+UU3tIz/aRB+RsSzfxpC/4YayamKlta8OSaPGmczvRW5 g2oSQwugPEXoFXxgmsk3i13c0DPk+SSh1HiiOVz3zhHLVr8zeTWIUPWYssLG CR1Hg2TlI9145QiT/zfiOR5b2UVSwqbs+GtRdaJKwd7Tw/Shxdx0o9yS3UJy nJjHjjv5ZW+v1IPuRwdxq69C7/cJFJtnmw4NPu6yTpkUdF8LEK55zaSXjOIP RedYwH5OVJq6fwJ0f3pY4j73imKm4KyHY0CUoOGU/J4adFwDmnPbB4KqNXDa q1hEe5bkVrF8HnS/RqSmd+UHRhrwTUbBiJLgwJ44swl03yZ8WWO/DF21whnX 04yndy+1dhyxg+7fjEKJz6GuIQecdDwLVI32wdSNFdD/YWVm1sn/2Yyveg== "]]}}, { {GrayLevel[0], AbsolutePointSize[6], AbsoluteThickness[1.6], GeometricTransformationBox[InsetBox[ StyleBox["\<\"\[FilledCircle]\"\>", StripOnInput->False, FontSize->Medium], {0., 0.}], CompressedData[" 1:eJxFUX0slGEAv2r9kT42xobklsrYsny01cr59YeNoXCRsiuc+diaxWKkdVPR 16ozKxtS+fojNSmFCk/uOGsux5wU4rjOuXMf3OuKLXTvva/12549e75+X89e 4SV+2hYOhxNkG5tsYzPnP2J0h46YZRS56twUNl34CIHGNf0+yca6Hp0KEZG1 UKTds2Q+tr0Jyfyd1ZqqjfN3SIsJGS8vpEhlBY0PKOEsuS9Hb9zvgjK3avyg B0UMsfRON3JcY82CKQv7vgfbX2aa3lZYiMNoXTbPoQ+U131pYqSF5fuC1+Kh 5KKlReIrEEusPnL0R/U3nHq8yPIPwF87lW/yWyT1ttejdYNwjBdvu9W1wOoN wev9g4ijYQskyI5hSCOIJbzUzOorMeakqu6/YSJSq49NYQTRz9eueKcbWT+j KJ5fzREdMxC+XfA79P7C3eZ1PevvBya4AefvterIdCFNOAaK98rx7IU51u8E zilVlfF/ZkkObS/7J3ieKcK86xrW/ySIMDn46V81YX5DhbgEZUNj5gybR4Uz Ka7KjF4VCWcEUBwvcvE9MMnmm8YufsBp8myM0GoC8QyuuaZL5Cvf2LxqBE90 GFMDhwkTR4240Yfa4dIBNv8vRPGctnLzZIRL2/HUoOx4mZK7p4PtQ4OZyVqF Oa2BpNsxix23s4reXK4G048WkkZ3pc7jI2g25yYtatwc5a1yGZi+5iBadZlK KhjEb5rOOof9vNBEVfcImP50MEd+6hSHj8NeD0+P0Jyak4q7KjBx9ajPaO7x KVfDbq9kHs2p0pv5ilkw/RqQkNSW5R2ix1c5DQMKfL07Ik1GMH0b8XmV+yJg ZQH2uM4mPLlzsbHlMAWmfxNypW5+bX1W2OkEZkzUUr0J68tg/mOBnTkn/gHn gK98 "]]}, {}}}, {}, {}, {}, {}}, {{{{}, {}, TagBox[ {RGBColor[1, 0, 0], Thickness[Large], Opacity[1.], LineBox[CompressedData[" 1:eJwV1Hk4FegaAHC0nSLbTbIla2p0mLSNh94mlazlWAaVuLbLNeFBliZLI1mO Uow9u+RwwrGvnzgdKiQjyk7WY4svUlzuN3+8z/v8/nxXuX+70xz5eHh4vEj8 k/Udp983zpif1Z9RO73IwWi7jqTHsMQJ2LN+YX6BWCM9MbVU4gJwtSOE/vG4 tGKIr7IxqKONp3PEBu29rKcSZrARl57IJVaky+RuyVrB+SHPrSniDX37BDtl G+hs8uoaJ+aGdrPt4u3A2CtXZJT4N4dv9U8kHEDryK76AWK2jmRlc6oTLCgn dfcSqytoF3+VdYG4ymuWXcSpfLb5Stn/hRNqVy63EVPG7mVZKN8CBtcr5xVx zUhXe7OZBxReeePWQOxx1UH/erwnsNtomRXEg2oPdKIlvCF8Zd04lzgu/UCj 0jUf8GPItKYQ6wsxtBpSb8NmhBfzMXHFQtvJRVl/8NNqqLtD7GZjw3pgFwCG N8sm3YnlOxaph7LvQLDh6B/2xA+ZoiomyoHQETY2f5n4okxOzoxzENi4VrVq EgdykoVfmgWD+sVWIVXiE6dUo63iQ8DjVtKYAHGG2JWwSIlQULwhndLyCqM7 7Qlsi5pQGIoc6C0jtrg/wqdw7T7oFw8FZxILrHgG1aaGwe0Iprg/sV93nN+c bAQcxAmWcsSm9MGKqsYImD4Y+W03MfWC8kqoXSQMebfyLbPJPEsrPWWyo4Br o2bTSGwS2+dqrPwQztA6VSyIVQ0U8iVbHgKnyuioJjFlm9vUpPMjaC1QSJQh vlm9WYLMYoC7d6RqrBkjsSMxVMv4xzAf3iboRBxCKT0cIREHTD5ZQZMmjI7q Pg5necSBvGMPU4W46777TH9LHIxMqWRsvST7s021gHr7L+hpY/xRQMz5Xw61 uysetiv4iK03knpx/ElZehJM/vK51R9hVP6zT/zlz0kwgOtjLxHbeJh+89RM hmB55xJR4qJ5oWr2dDJ8NNKYeN6AEW06XMv1YipY+EuqtddjlDgYoFO+mQac Aw+urNRi9Ku0Vc6QeTrs0RPVqyTmWp/eQWGmA2OB8Zcf8cE5f3vmsQzYmBNT +V6DkbvLKSWegQxg+xkfX67GSNSh6HnumSxgSRqNNFdiZGmVWfRlKQfmPKfZ EyyMFvvN9mRJ5kIyr0h1AnGYDcXRVCcXApvW9+sRl9q7S1bE5YKiz1FhRglG gre07985/Qx8yj3WHIoxenXvk/XOu3kgLDaQ08DE6HihyE5pCgPSRItjeJ9j 9Jr6yrZdnQGcxlpORh5GtiV+tYFWDHAbPuYMxNEVwx6jDAbs3HF9KuAZRtON zP5nRgVArw+a4OZglPZBr+Tn2ELYTt0YfJGJEf9WyHXdg0XA18XP5SSTfrn8 ZqN6qQg2v9LrzYkVu1VtRW4VgdOjLd7xJIzO5vfa99cXQeHs+8HNRIyq8+PL K6nFELj6afRYAkbzpnN1Bh3FkLGfT84zFiPz5wlvvfaygG5glk+PIvd9456h kxwLzGwD8nYTj4n+3m55kgVvtjmIh0WSft89/077Bgti/n5qeDcCowjafNcu JgsWpt33Oj7AqH7jfF+KYSkEPmlekPgTIyWThenmqDIIrOOxlwjASDJIV9M5 swzSEnt2+PljJMzMiNpTWQZabXZ8PX4Y/aCYUk3GyqD4BqLE+GLU2VjpNXSm HISrGAYb3hgFqIdsrk2UQ6HUKqvcHaMOoX37qOcqgRbtYlzogJFvxy+Q+LUa LOQDdhYYkvlRyydeU2rAqSBred4Ao5xodfq6dA24+Z6/qk783vDwJ5uLNcCp FLAt1cPop7f7vJTia+BjZ0cX6xJGwy2Lz1ina+F4xbG9Cecw0n2ZK9geUAfL k5riKxoYiZeJDPHyImCEzyTvliD/akyn7Z1WE9Tw2fJq9C6jJtenUlZzbIhb 9tZppC+jFWVtIebvLbDWd8+w6uwy4vteICyl9AbWV18bLIwsoVNbthWmL9pg +qxF4nzwEmoLPdHBOfoOIq99zxSQWkKyMbPf8xc6IY3yYWwt+wua/TY89EG9 C9ZMaMXrql9QDrf2jeDDv+HPQyAurruIBGXyFsfHu0H50NKgtcoCoruUO2Uo 9sCTQbnV3YLzaPVcwfh/gnohQZwhXP12FnkfZ5ftb/4InclaYp8ecdHwC3bU e7k+iNFLHTh3ZAatu3anHAnoh74DYanFVVPop193bTrVDsCwvjRnP20S6WbJ OZeID0Hf4GyIZP048pW5KT96fRg+xta15Wl8Rqpz5vy9RiNQdHiHtVP2KPqX 0BcK+8cIjAxfpZm9HEbbUUqRQuoozPG3xAVaDqBGmkCgOnMUpPgPW/v+6Ef/ B2CH8o0= "]], LineBox[CompressedData[" 1:eJwVzX881HcAx/HzoyHlx9VqkcxRY+ZHKinT22NdfusxMv0YkmWPNJTScs2P 6PSQ/FoZwlSu9MOPS46aB52H2Yw9VszPyo8550bc9+PXOed+rf3xejz/fFlE nAmM1KTRaB7v+9+0Lc5LUU/HMGcan/3T8Ft+pXfEnRdLArA3sTQCSnr5kmkT I1HBOB4Qf/3R3i5+/SFPrXymEFuOsRZ22nXwU7zSb/NEQuzQeGgZt9TCtxj2 GeSkTyDMoMw1EbX8vbvZ+ZucRCj/dth09mQCQra8kmn0iJCZUsyPaKiDpDNb cDb1X1y+MJ4QadqGIu2w+ECrSZiMRt28tu4l1o3Ul2u2TaLYwb6f93EvViWl Bu2Jm8LRIHMj4cRr0B6FcQX0d3B3LLcOvz6Kc8XcbHrrO5wzD33LVAnQbJuh axw7jf2WNZeCj4hg7HPuszSDGegbfp/rWjWFIbuuHlbTDLay49h9WWI8KYOV MEyM+eSdWhv4swjlOhubqcSo5IQ2nhXMo+HYskEXjYL1YFSW98w8DD5oXHNF i8J00XbxJ0vzaAlx053SpeBYoEiX6C2AsZqp5q2jELJx2Ltv+wJEJwPEfjYU 6m5YeNamLSDWJLojMYhCa0H73V02i7icfjd16DGFKoadl3a2BGsv6vicqKbQ KUrYJy6UoPhUDF3EpcCQBc6NlEtQ57uHQ3gUSp3PUkPPJRAZd7dp8ikUJw2s 8ZiQwLeMpmvTQ+GgT1GzEEvY8Ox4zgU5BWLU6L1DuQTOw9+CV5QUZv3UVIye FI7FtuYpNIKMy7E59R9K4Z0k5WasIggVSxOj7aVI3J/bXWJIkOfoUJEcLoXg 1Yv1rZYE9NbblpHtUlRPmpUY+BHU1LYJzMuXkfFzevjIQQL5dqEZ4+kyTgaK t9YEEDhV0M+7ty5jc1PTE//DBKkDhoxewTIyc7/+PSuCwE53wCl6qwynnG/N rWYR3Es7YcSolYE5TXv25geCt8HNKd6/ymB+51Ti42SCHEWjR2mfDP16Ljo+ bIK0yITsjhUZDgz3b76WS/A05HzpGc8VMNjrvXQq3v9/tP2janoFKpfEtQMP CRQ3q3fHaMjxWjz+d0UlQXzVxY+SN8qRd7gu1KOWwPRqUvldphzqTwPPpzcR 7PUXBrA4crwZ/cXlKz7Bl9/dsj/QJEdDvoXKqpXAiFtSkNMnR6xqNqOtnUD2 wP1as54CQ925ZVo9BK9sOH6dLAWeX5V+09NHMKk/ymsuVCDf9bgNZ5DAVsnW vN2ggO99e94XIwRuj2Y0iqQKbDtWwKKPEXQtvPRd3KSEpqFqn2CcIMRq8Oif bko0JvzVkTpFsBwsfD6eqUSB3a7cgBmC648zL/XwlIgTlAZZEIK+9kh37pgS foXaJnNzBNYCg+uudBWs/aJHWxYJglWO7+57qqCt0XsvT0rQ3UEtTl1R4Z96 19PhKwTVzCifiU4Vmk5zHByVBNn+h9g3tqlRaK4vUasJaj9/wTyiUuM/nyVP Nw== "]]}, Annotation[#, "Charting`Private`Tag$2800683#1"]& ], {}}, {{}, {}, {}}}, {}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->Large, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 0.9999999795918367}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.770355872261179*^9, 3.770355994213119*^9, {3.770356161299719*^9, 3.770356183198484*^9}, 3.7703635086693563`*^9, 3.77036373241635*^9, { 3.7703638637380342`*^9, 3.770363893668839*^9}, 3.770363996094578*^9, { 3.770364077708891*^9, 3.77036410334166*^9}, 3.770364144615231*^9, { 3.770364185121153*^9, 3.7703641909484863`*^9}, {3.770364225664957*^9, 3.770364228595983*^9}, {3.770364298821583*^9, 3.770364302193626*^9}, { 3.7703644022898617`*^9, 3.770364406636064*^9}, 3.7703644624180098`*^9, 3.77036458594361*^9, 3.7703652055238237`*^9, 3.770367475986598*^9, { 3.770367594146365*^9, 3.770367638285632*^9}, {3.770367693396255*^9, 3.770367730109771*^9}, {3.7703678486080093`*^9, 3.770367900570922*^9}, { 3.770368166263565*^9, 3.770368185546075*^9}, {3.770368219388887*^9, 3.770368262115637*^9}, 3.770368350998098*^9, 3.770368527582162*^9, { 3.770368582871828*^9, 3.770368597117581*^9}, {3.770368832838286*^9, 3.770368856432308*^9}, 3.770369274883645*^9, 3.770369417027514*^9, 3.77036958753059*^9, 3.770369628796056*^9, 3.770369714200222*^9, { 3.770370072564649*^9, 3.7703700927857637`*^9}, 3.77037012939207*^9, { 3.7703705190643797`*^9, 3.770370542627182*^9}, {3.7703717179747343`*^9, 3.770371771521769*^9}, 3.770372073603142*^9, 3.770372435467249*^9, 3.770372481111739*^9, {3.77037252674378*^9, 3.770372556988658*^9}, { 3.770372650478367*^9, 3.7703726535834093`*^9}, 3.7703728267858973`*^9, 3.770372886615588*^9, {3.77037454494834*^9, 3.770374607975988*^9}, { 3.770374640620676*^9, 3.770374685501883*^9}, {3.770374720890595*^9, 3.770374760857505*^9}, {3.7703748535041*^9, 3.770375004412045*^9}, 3.770384296482171*^9, 3.770384428857444*^9, 3.770384534259406*^9, 3.770384577330803*^9}, CellLabel-> "Out[1150]=",ExpressionUUID->"5ba3e55f-4f61-4c18-8d02-473f36b9068f"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Asymmetric limit parametrization", "Section", CellChangeTimes->{{3.770375122553125*^9, 3.7703751247203217`*^9}, { 3.770375179953327*^9, 3.7703751803113403`*^9}},ExpressionUUID->"8e46ec45-1cee-44ac-b2cd-\ b1840387e7c7"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"f", "[", "l_", "]"}], "=", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", SqrtBox[ RowBox[{ RowBox[{"2", "l"}], "-", SuperscriptBox["l", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], "+", " ", RowBox[{"2", "u", " ", "t", " ", FractionBox[ RowBox[{ SuperscriptBox["l", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"2", "l"}]]}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}]}], ";"}]], "Input", CellChangeTimes->{{3.770375865308197*^9, 3.7703758724529877`*^9}, 3.770376060761716*^9, {3.770376128732225*^9, 3.770376144110969*^9}}, CellLabel-> "In[1090]:=",ExpressionUUID->"47d0fcd0-2291-407b-91dd-3b63b965f056"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"min", "=", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"res", "=", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{"f", "[", "l", "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], ",", "l"}], "]"}], "//", "N"}]}], ";", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"l", "/.", RowBox[{ "res", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ",", RowBox[{ "res", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "50"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.770355348192564*^9, 3.770355411408017*^9}, { 3.7703554904566393`*^9, 3.7703555593208637`*^9}, {3.770355600629633*^9, 3.770355614226286*^9}, {3.770355800639642*^9, 3.7703558217746773`*^9}, { 3.770355976864441*^9, 3.7703559849572887`*^9}, {3.770371708970953*^9, 3.770371709183662*^9}, {3.770371761399919*^9, 3.770371761641489*^9}, { 3.770374520045517*^9, 3.770374528003614*^9}, {3.770375297883061*^9, 3.770375320476803*^9}, {3.77038119829884*^9, 3.7703811991970863`*^9}, { 3.7703819270243587`*^9, 3.7703819444386873`*^9}, {3.7703824483514843`*^9, 3.770382510692024*^9}, {3.77038255519604*^9, 3.770382589743485*^9}, { 3.770383972001628*^9, 3.7703839801197987`*^9}}, CellLabel-> "In[1131]:=",ExpressionUUID->"4ed89e32-1e98-4e9d-a6a8-bedf7a7f8d84"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.552786404500042`", ",", RowBox[{"-", "1.2360679774997898`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5533433317264026`", ",", RowBox[{"-", "1.2348975352786737`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5550040965935858`", ",", RowBox[{"-", "1.2313907127654458`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5577394278194735`", ",", RowBox[{"-", "1.2255607733578913`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5615030004577419`", ",", RowBox[{"-", "1.217429024142825`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5662346897559806`", ",", RowBox[{"-", "1.2070237210137136`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5718643828559101`", ",", RowBox[{"-", "1.1943787172706852`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5783158511980421`", ",", RowBox[{"-", "1.1795319889365854`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5855102837307218`", ",", RowBox[{"-", "1.162524157795533`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5933692276712552`", ",", RowBox[{"-", "1.143397106034339`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6018168308314735`", ",", RowBox[{"-", "1.1221927434898868`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6107813956176547`", ",", RowBox[{"-", "1.0989519573529827`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6201963282015025`", ",", RowBox[{"-", "1.0737137491800683`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6300006003969463`", ",", RowBox[{"-", "1.0465145467217705`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6401388469988043`", ",", RowBox[{"-", "1.0173876678703175`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6505612093452224`", ",", RowBox[{"-", "0.9863629094273494`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6612230160657665`", ",", RowBox[{"-", "0.9534662326337541`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6720843706396893`", ",", RowBox[{"-", "0.9187195189197246`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6831096959834174`", ",", RowBox[{"-", "0.8821403719333467`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6942672702821873`", ",", RowBox[{"-", "0.8437419447741638`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7055287759349764`", ",", RowBox[{"-", "0.8035327739862577`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7168688744324857`", ",", RowBox[{"-", "0.7615166039631148`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7282648136339827`", ",", RowBox[{"-", "0.7176921868291506`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7396960696216948`", ",", RowBox[{"-", "0.6720530435058614`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7511440225339152`", ",", RowBox[{"-", "0.6245871714810035`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7625916640576786`", ",", RowBox[{"-", "0.5752766836983293`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7740233332507332`", ",", RowBox[{"-", "0.5240973608479562`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7854244768015948`", ",", RowBox[{"-", "0.471018095960368`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7967814295361697`", ",", RowBox[{"-", "0.41600020527155873`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8080812108002925`", ",", RowBox[{"-", "0.35899657234438814`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8193113321830316`", ",", RowBox[{"-", "0.2999505826623511`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8304596118069617`", ",", RowBox[{"-", "0.23879479223767902`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8415139900135539`", ",", RowBox[{"-", "0.17544925449008483`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8524623406176028`", ",", RowBox[{"-", "0.10981940211989455`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8632922708672726`", ",", RowBox[{"-", "0.041793340774743726`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8739909016419507`", ",", "0.028761647666562883`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.8845446169651712`", ",", "0.10200368336033275`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.8949387681484873`", ",", "0.17812237705420544`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9051573120553333`", ",", "0.2573470762799488`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9151823537738062`", ",", "0.3399582749852518`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9249935490751127`", ",", "0.4263038018081591`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9345672970458782`", ",", "0.5168224827025728`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9438756096597851`", ",", "0.6120799867232916`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9528844649981467`", ",", "0.7128255437374856`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9615512945857927`", ",", "0.8200866835495435`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9698209258846944`", ",", "0.9353388476168181`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9776185334051141`", ",", "1.0608383757060973`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.984836103784858`", ",", "1.2003666550668082`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9913022595204866`", ",", "1.361258674787874`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.996695078080777`", ",", "1.5623395664680904`"}], "}"}], ",", RowBox[{"{", RowBox[{"1.`", ",", "2.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.7703825706980867`*^9, 3.7703825952438927`*^9}, 3.770383986083816*^9}, CellLabel-> "Out[1131]=",ExpressionUUID->"85129868-2e24-4ec5-881f-783f76ebb2a3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{"Flatten", "[", "\[IndentingNewLine]", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", "1"}], ",", RowBox[{"u", "=", "1"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"f", "[", "l", "]"}], "\[IndentingNewLine]", ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "50"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"l", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "\[IndentingNewLine]", "]"}]}], "\[IndentingNewLine]", "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{"min", ",", RowBox[{"PlotStyle", "\[Rule]", "Black"}], ",", RowBox[{"PlotMarkers", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Medium"}], "}"}]}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "432"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"864", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"80", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"768", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"240", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"144", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"8", "-", RowBox[{"72", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"4", " ", SuperscriptBox["#1", "5"]}], "+", SuperscriptBox["#1", "6"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}]}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.770128916968545*^9, 3.7701291441144123`*^9}, { 3.7701291879812527`*^9, 3.770129197171255*^9}, {3.77012927118311*^9, 3.770129312093254*^9}, {3.7701296966049833`*^9, 3.77012983518848*^9}, { 3.77012986997206*^9, 3.770129875589943*^9}, {3.77012998308843*^9, 3.7701300153006697`*^9}, {3.770130045591978*^9, 3.770130067574484*^9}, { 3.770130126663423*^9, 3.770130157205965*^9}, {3.7701301997089043`*^9, 3.770130256375443*^9}, {3.77031451710737*^9, 3.770314551909052*^9}, { 3.770314645755912*^9, 3.7703146533792467`*^9}, {3.77035582730647*^9, 3.770355870598301*^9}, {3.770356151684104*^9, 3.770356182155067*^9}, { 3.770363505798993*^9, 3.770363507410572*^9}, {3.770363723558613*^9, 3.770363731317477*^9}, {3.770363862588332*^9, 3.7703638927495937`*^9}, { 3.7703639926987057`*^9, 3.770363995031155*^9}, {3.770364075657816*^9, 3.770364102435101*^9}, {3.7703641431133432`*^9, 3.770364143750718*^9}, { 3.770364184140699*^9, 3.770364190019437*^9}, {3.7703642231344748`*^9, 3.770364227624208*^9}, {3.770364297384602*^9, 3.7703643012351427`*^9}, { 3.770364401201964*^9, 3.770364405830385*^9}, {3.7703644597733927`*^9, 3.7703644614483843`*^9}, {3.7703645824091043`*^9, 3.770364584885293*^9}, 3.770365204234007*^9, 3.770367474937028*^9, {3.770367591327022*^9, 3.770367637414587*^9}, {3.7703676918687763`*^9, 3.77036772902442*^9}, { 3.770367846890003*^9, 3.770367899601215*^9}, {3.770368163647591*^9, 3.770368184417494*^9}, {3.770368217841505*^9, 3.7703682610851994`*^9}, { 3.770368347455324*^9, 3.770368349850045*^9}, 3.770368526341693*^9, { 3.7703685800353622`*^9, 3.770368595521796*^9}, {3.77036883046472*^9, 3.770368854950062*^9}, {3.770369258656804*^9, 3.770369273609886*^9}, { 3.770369582680231*^9, 3.7703695863932323`*^9}, {3.7703696266925907`*^9, 3.770369627528777*^9}, {3.770369708474483*^9, 3.770369734789874*^9}, { 3.770370057006731*^9, 3.7703700914233227`*^9}, 3.770370128097443*^9, { 3.7703705150352793`*^9, 3.770370541380187*^9}, {3.770371713596178*^9, 3.770371764884719*^9}, {3.7703720704098186`*^9, 3.77037207098066*^9}, { 3.77037242932125*^9, 3.77037243279978*^9}, {3.7703724780599127`*^9, 3.770372478543988*^9}, {3.770372524229458*^9, 3.770372554308427*^9}, { 3.770372646777398*^9, 3.7703726508493223`*^9}, {3.770372819832122*^9, 3.7703728241592703`*^9}, {3.770372876324524*^9, 3.770372883759719*^9}, { 3.770374538574603*^9, 3.770374605919489*^9}, {3.770374635984799*^9, 3.770374738871607*^9}, {3.7703748499501762`*^9, 3.7703750020664463`*^9}, { 3.770375328139941*^9, 3.770375358633322*^9}, {3.770375399465125*^9, 3.770375405443839*^9}, {3.770375634072958*^9, 3.770375645082638*^9}, { 3.77037568643219*^9, 3.7703756867521152`*^9}, {3.770375729575653*^9, 3.770375762094234*^9}, 3.770375824483232*^9, {3.770375875377166*^9, 3.770375878498308*^9}, {3.7703760091547537`*^9, 3.7703760128476763`*^9}, { 3.7703761422929564`*^9, 3.7703762559820538`*^9}, {3.770381205930064*^9, 3.7703812067393837`*^9}, {3.7703813264753323`*^9, 3.770381389123374*^9}, { 3.770381493860591*^9, 3.770381497266385*^9}, 3.7703815423353148`*^9, { 3.7703821143901033`*^9, 3.7703821474347057`*^9}, {3.7703822380004807`*^9, 3.7703823426825657`*^9}, {3.770382390343185*^9, 3.770382392254636*^9}, { 3.770382648007146*^9, 3.770382660079822*^9}, {3.7703838922496777`*^9, 3.77038395883893*^9}, {3.770384007861253*^9, 3.770384007998954*^9}}, CellLabel-> "In[1133]:=",ExpressionUUID->"128c88d3-cf4e-4c6e-a5bc-a6b11016fe20"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4lN8XAHCUIoUkRfoWoUgSpZVjV0TJriwhoY20WBIKIWuWJETIlizZ w7Wn7PvOvGOsYYZJkuR3/eafeT7Pc9/33nvm3HvOCFjcu3KDiYGBwYGRgWH9 W/3GZFvFlJ6cprKwVKbLGbSSbVYRdFIMsvy2mrV4xqONSnz2I7zHIcvz5de/ 0mlI+l1UzGdeZfhzpbt6S10OGrDuS3t1Wh30xDeclJbIQxR+Ic/HIlpww89l 297ifKTR1JMby6sLiZE7pAW3FCOhgL3Ja/uMYOxdbWgo/QuSduEgB3qZwMqZ 7sRRuXL0V93y9XURU/Aj8rbahJWjaa/OmuuR1yF+7PqZL24VyMBqqewVrxXU 7jDV/fi2EtUo8RVWx1jDoP7WgOCUKiR5QDb75z5bML685KabVI0E9axfpCrY gXzU64P922oQC/nZe32RuzBg/rOJ7FSLSkjtTdW69nDbLuJztU4dsr9spX4t 0gGOP8mKnxf+ioaOvlAK5H0AO1VF7hd+rkf+mQfebvN9AMPd7T2pP+tR+Lvd FcJXH4JmxjhRZP8NqXOknyuPeQTJb8tJkwe/o4K5xhPUfc5gxWkXlOnTgJht Ez/te+MG93cPdfvXN6GgTK5D2iJPobvTcuIbRzNS2ZuUNHXTHWo/Ht1cn9qM ntZFc1bqesC06IdxT7kWdFxGPNAo0hMW2ryeO0i2ovidl3z8eb2gI3f5TaNi GzIJZ2m7f9gLnnblOu1Rb0OuTa9r9Eu8gHq1ZuqWVxvS9yYxHbjqDU68ituX atrQ1kUH9y8xPqCU6yHFoNSOnDrDnWb2+UGmBL/pqnQHsl1O57xh4Q8F3Sxv nRM7kHZYv52WSBDMuzveLKJ1InGNA2l8X4NASP2B1yXhLsSy4fbE+M1gyFoZ fKhp1IXMiv/lIN0QYMuOqAlGXWi/ufq5z8Uh8O2Q7snS1S60UzREwjAyFIYH NZnivbuRJ8vng3684XDeN7KB9qcHiamF+ubah0Oo26TqvcO9KO/XKyuL7HD4 Z6DI4KvVi9q9700NfA2H7zTr4sdXe5HQBvEMiUcRkCrq1HOspBfVrSZJdLZH QvBM0pHw+31o4didmmCeN5D2vNJ4KaIfbaVHntgX8AYMZxRZ2dv6kQrPwwsF s7GQ1NrYNtgxiKKGXJTy/8WBKWl/i5j2EFLgN0oa1nsHinqVWUOPhtC08Ulm lsx3IGSfS9KOGUL/zThbZh6JByaPTcLPxofQPVsZYYbBeIhvVLvJ7zSMOrgW DNDbBCgq0HJ5xTWCuKyyUpNPvYdHZ+Hqr5AR9IT7kxrhkgQCEQ89VN+TkKFR QhZtPgm8JMcL/2shIeqA7pb3fMlwpuOqft0QCfmYstzQUUoGVhdfvWszJPTZ 8h5fQXgy8J/pO6PLSiD2u7Leric/QEuCTpuTIoFqn/UZb3JLAQGFwr9fcghE vruTqhaRAr8Q8McWE0jq4/ZN/CzpIBbWk3LWm4wG+EbceGbSYVm6elNlPRlt dj2WEeTxCap06dSjvaOIbc3zmtp/WdDr5mE7vomComwNTMVVs+BJThqxmYuC hDrFzbffzYKK+RNt+/ZSkFxaj+VAWRaYk59ck5amoOK0yPxCiWz4GLed6Ycp Bc3qzJRqNGeD80v7jvQ8ChKzE8xhFcuBqtBHjMIUCtJLfd3guC0XNF90mnQZ jaEvy0U/dh7/DJt0ssbGJ8aQsPbcZPXLPChREc2PCxxHfO5qZ24m5ME7nzar sNfjiDMz/uWWwjwQLbEL8UgYR39YdCS0yXnAw2Tjq5w/jlorCh2HT+XDvUhO yQeD48jAufylklk+/KTPMfvPjiMXSc9/v8fygXtAKtVVdAI1c3BzS8gXwuYt 38ztyycQaryzw+NjIdDGGoyFpyfQ4+bTEPWzGBjJ9MCOrkl0QqjrRht/CTR7 r+zSpkyiU2VJoYY5pXDv5wtnlfYptCtv+zAjI4L8o535dinTqOjUFR69Wwh8 Nnl0Z9ZPI/2mOFNukUqYii+SPJr1AxWQlRpbzlWBiJ7EoXCTGWSdE7/jU3oV eHUc6M9/M4NKln7vuaJcAwKKrc2TzrOoyi52j9FMDeQly0iNdM0i/d/fLvyk 18IWx9GJKr05tCgiy5F55ytk7qLmbNhGRdwOl0uSS75CtqS9urIEFb35/+cb NNEbvhxZpSKm5QzOPcLfwXGr9IFifhr6QpZYEXvVAOZji9a8ljQks2ZeoPOp EVQu3mIg3tDQ3jGX3ZTkJnC6n9JZUUNDjV7Hm+vEWsC/KVyKj2UeZbYetXzR 3QL8AT+YygXn0b6QH8tpc60wv0l+j4zjPHLSMHq2bUcbjAhyfdN0m0c/lkaG uyTbQex6GzWkcR7tPaLd5qrRDlU8BsyHOuZR0vSX7+xBHdBv68gwJ7iAmBRI LbMRHUA/spsvRWgBse9NoVIonZDEGP3yz50FVHSxQ5vpZydITdrcn7RfQAG2 +dbxQt3ALxedOZ+xgEy4W9nTbnZDzLx7+bXCBfRLPoNi494DFmXXHDdMLKDL jvquZ+g9oL/KSEj8XkAPpGryeKp7wXmtzHSNh46i/x+/PtgYwXJaR4qORj7V vGwT6If6Ge7CTCU6ap3dOCN1sB/sgvpjtZTpqEJc5WK4eD9wvDzFQ8WOT6/d anCyH/QLBEslVOnI4kNd4ODFfujusR9JPU9H47H1wROP++G7bdsbX006mg1o DFtt6odw5im/X/p09OytwI0bpgNw7ElRfskNOlqx63wr6jIAhxbLQ0Jt6EhX xiRUwn0AUoK9Etht6egj47iPtNcAyNWbGLzENo1acpANGgAZ7bDc53Z0VFnL d177/QBMv2YStb9NRy/2X//p9H0A3otGCJ+yp6Md3bMX6/kGQSVxodfrMR0d Vtj8z/rLIGi98p7i9qaj7PSMg70Vg3BpA/WOF/Zx7svaF+oGQeqsWwAd+9xE VNLhtkH4xGoc1epDR1qBYhq08UEol9Ge9falo/t9mlHOXEPwoW8xduglHb1r fJ+rpDoEqQeZ89KD6ajYIVwqwHYI5Mx5Pii8oiO5gVPXVu8OAUViT2QSdpXy kPfdB0Pw1LpKcHMYHX3fJdJ32R2PV1HhasAeLCt03xkxBB1iJy9qRdARw5aB xriKIVj54nFOMYqO1N4L3MzZNQwOmU6vSLF4/VHsInX8w/BCo//psTg62h+0 QukXGIbXASk8z7D/OHdZbBQfhvIjFecF39FRprafqYH8MMQs+xSZxuN4Mc7r rdoMA4ks2/H1Pc4PswrlCyXDcG0y2vhqCh016mVuMEXD8DsmuTUBu0gjuup+ DZ7v4RR9AvvVyQfyMc3DIBmvq+iYSkcqHIfOUcnDUDoODD5pdJRRHiwdwTYC 8hVBW2My6Ch9s3GugcEIJC2pyahm0dHjvWaCxLURCFz+XeePbXFZUn/w+gi0 +k631mJrPWf077EegU3C8wEM2XQkMpU432Q/AhuD7+15iN2ZN1lR4jUCxVpB YcY5dCR58b5Z+McRaAo8vMLzmY4mXbxj1P7i501er+oV0NG0/mGbBAYSdM4w W7zANqftYNq3gQR+7JwuRdgaB8ZO8LGQoMRHpJa3kI4E/V7EcnKR4GJ2Sn0v dqtu4+1VYRJE7VANPl9MR+Izemw9miS4pHbpNvULjo/uReR/mQQ5dd9K+Erp SKlM0VFOhwTKxdtzVLCNg44OJBuS4EeAUkQ0tp8ka8YDSxKovq2QlS/D5+lB qTqXMwk+0KL2uJbjfBvK/VfrSoLZ+ZjZeOxVlbRc56ckaB3QtqnD5t4VyUc8 JwG6tcmQE+H5iu9NZwWRgEdaQDAeO35V0F8ziQTJf+XuZFXg9VrzyjGmkOAU b1drC3ZhM8dCXhoJ/l5fHqJiN7/7a8SfRQKVRcFFiUo8n0K36I9iErAoPNqd hi0dbLa6oQnHK1Yy7X4V3o+P3zffFhLsok7LBWKPz7m7nWsnwf5jJQqp2A4G j47ROklQMzY3V4Xte8jyjUE/CT5mlJ1fwi74fs5WZIwEZF+LlavVOB85aCw1 f0jwKlfFZmcNHbWX+b+4sEqCOHaLFFHsV7eFN7WskeBkbkqMLDbXd+MN/RsJ yK7oTbNat3ftKpWdgOmEX5ey1p+XNn/ycDsBpmueCpXrz5P//Pmzg4DKXf5T 7djb5SV/M/MSsH/0tMkiNudK9MKeAwQ8HDnVKVOLf++0Ew4JwgQQ4g0uqtgh hq1UkUMEpMeI9+phcxQwzx47QoBVvXehIza7g/2E2kkCmjM/sX7Ebt7HZt10 mgA7356bxdhBzcmUK+cImKHsd6vD3iY+QJgoYHvLNo1gb51QGXTUIODEiaKN HHX4/EWQjJc1CehnWePnww5Qdu17epmAP8UFM0LYbO+zu/30COCLjM89jf39 soYehyEBAynjqUrY/mtjHeHGBLyxqtXXxN5isqftnRkBjR4P+szWx7MVXBK2 IEAuxfCTzfr4ksvN6VYEJG5aPeOAzbrbpyHfloDu9kxXT2yWDlptgyMBSY+q 3sZh13u+VNZ+RICE/pejydi+kiLV3U4E9DZVuWZgbw66WkG4EbD1ltC5Quy6 c7/kbnoQ8GE5NLsU2+dHSNnMMwKeLxwfqsTedKGuZOkFARnfFcwa1scvmZ92 8yfg6M/yvJb18R9WCpkCCbDmj6rqwFbVi5TxDcbrG+727cFm3ngsf9srAmQ6 vDYPYNfkNkiHhRNwMzBDbhjb67p17u7XBHjE6koQ2MqcjMfi3hDwNdivexR7 I3qbdSCGgPIZnZPj2P3nlM+PxBFg4evvMomdVTJDik7A8xX8tJ1ef9+pCGf9 JAJ2BMQxz2AbF8hycaUQQOYJ15zFljw+nt6UhuNhTijMre8vN0jJ7yMBlndf kdc9ePTkoHIWATVyn49SsXMyRx4w5BKwu/GS6Lp9DvtuK80jQJ/tQcv6+Gtp kh8eFxKgM3NYcN1SB/vkpEsIqDZ6LrA+H0uyZ89cKQEKp32afmAPC4rZpyMC NG7Ji6yv93N8O4t1FQHqDWWH1/fj+59rgkAtAUFHtwyPYZvGHDgz9JUAI9tj suvxOM7X2B71nYA+ZbhAWs+HqAe3dJsIkPIDpqH19+/cu5GzlYAnv2Vt+rDz wmpjGtpxPC+punat59P2uydedBHAq2Z1tg3bPJinWbEXjw9NTG1cz9+XN9eK hwjwbc/zr8ImsXBGPSQRoMQTt7aeHwU+RZLHRgk4pdYjsJ4/Fs9YLVInCVDs vHk3HfsUQ+4fyx8E5Ol1RyVib3tqHLZvDp8Hjmr7GOwi54yaSDoB0nIqooHY QUs6Jld+4f3kzLN6Y1s+/Lu4bRnfD0bqUU/q1s+v5kHvfwSwbpEot8OmzC0i eUYysE636F3HLrkdZ/h3AxneZGi8NcC+YUP1c2QlQ6rGv6Pr563zJ/m95DYy WDt2OBzH5rSS/zLNTobr6fFPjmCXmoXOXOcmQ+WZQE8ebC4D6UuX95HB4lxm PgWf/8nOgQk2QTKU8dk/6sEuu+Ll8VWIDA+4w8e+YdtodeXIiZHBcuZwSyZ2 ucpj7iMnyJAn0t7qgH3r+Jc+Vg0y0AQSXk/j+6yitetjkSYZvKs3Rfdi77xD c795mQw8bLe06rBRsrBIrR4ZpN4ZNsVj79gVct/DnAwy98eFrmB/WbZiW3pI hsbXn5U+4PuZM9J9ONmJDBLsDXbB2DekonN0XclgGvBc2Qmb41aLQa4HGYQ+ rHFcwLYcPJ105yUZfEPPskzg+54NsctS4slAGrrrw41tflWUMywRx3dNbvA3 ri/5S0qjCh/IkGupNTaIbSbp7Pcugwwiv7W3J2F/ThjtMi7A63X427Zen656 Fd1tayDD/pQr/07g+pVxwSK+/BcZNtI7VdhwfTwuLiAHy2Qwb1qNmsT1tZyd NIBWyGB33Da9Fru1w2RXJcMoJBULs7hj/zQxCqreMgr1jzdnz+H6LHf/8pP6 /0Yhag+9sBLX99ZoOcN21VHg1GQclMH138htdfHKhVEQMupm3opNNisN69AY BWGevjlSEX6f0JmWzsujcEDT658fNm/WCdUe41HoLju9sw/3ExbV4scH745C 8GlDkVu4/7jQrZBw8+Eo3Jbf/f5HPh0t/uDjHI8chVMcYSxmuJ8Jj534GvNm FM4FlXQfxJa+lOeuE4PXN/jJiJaL622uJrUiYRQsKvc/9cCedfJofvtxFPJ6 +RVjcX80xjweoF01Cr6/N5TX4/6qa18Oa9nsKNTFK1ZO4P4sX0dtQ7gyBZ5Z t35VS8T3g0aRN78aBQw2WC0yYV9TEmVJvkCBI5xyo2W4X2SSZttWoEUBbY6R NSlsLa4Wnl5DCsRLvpDlS8D53Kovxn+HAsa2f1sGcT/Kp2WtnRRBgVYwc5OK piP3897v8sYp4OVqqS0Qguu1qc01ySkKJC6Y3m7G/bTQQw3ejz8o0OcWruGK /T1he1gijQLXC6r1O4Nw/7MS6/PqDwU+ejfEPw+ko9TMgjv27GMgGSrP0uNP RzTEpc+7cwzG5b9xTfvh349r8qy4zBjcVtdT18b9vsCQem+i9xhce65YGe5M R2dOeoXzSo3Dtkd3v/25hvf7X8syY8c4uB7QpD6Vw/14T6K97JYJEArjk0L4 /9Ti90CyvecEcIkEL1ny0lHURtMHV4QmYYuxwPu1hQW0Yzj/PVPNJCxcOSI1 +W0BMbt56p52mALTTePKL94sICcFB+bWhCnQUiogj/kvIIY00ywy1zRE2dZ2 9NksoPvRWYFcVdMwL/vVVEtyAZUd9mXZfvcHyHebZ/77OY+2q98Xf8Y+AzbU whWtknk0eKS1w7l0Bi6ETaEtj+dRdhwIUUxn4VJO9vv+4/PIJEtm+95/s6Bq yiTaQqMhD+8Ez8H0OeiPokQ+SqShzMm9b9kvUsG6ezHvnwEN+cZ6mw9rUeGw EvPzD/o0ZHVlVviTNhXG3zVs19KjIf7S0mxNAyoYRj51iLlCQ/7BV+sCLKiQ vv/FaRlNGrKReTO/xZkKC0K3ZkwUaUjQi/v85g9UsEh9OOImTkP/Tj3Z1pNK hfyjv2v2HqahvtnR9g8ZeH6lM7fKRGkoxOCziWoOFUQrV5dXRGhoTeyKo3cp FZhiffY/EqChwbbguA0dVDCTRaGmPDRU5LNk2dFFBZraxed/uGko/KyZaGIv FejL0Scid9CQRrJEnuIwFTpT3AYbOWmoxKnpm+cUXr+AsfRJNhqKPHIiWHsG 79fml1gbKw05kGN0BahU0O/RHbVjoaFDF2+PVPykgo6OYWQsMw1tZOxMClmi wve7qyEyG2mIlH/WzvwPFcZarC62MNFQqV3iUclVKlx0Caq/yUhDr/exLa6t UUHK3oWZgYGG/gfJ1cPt "]]}, Annotation[#, "Charting`Private`Tag$2768988#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4lF0bAHARWV5rVEh2FZISySu3kkoiJGv2LAlZiyjLa09IiFJkK7Lv W46klJCsZZ1nbCXMMFIUvuObf+b6XXOe85xzn+W+R9T2uoE9PR0d3Y0tdHSb 31fE7jm6SsgCzx32Uq2sNdiqIeA+xn8EtuWKuug7LoFCekpaOf8peBN/ovcb 2zgMOXzNSzh2DjqSlnP3fB+Gid0SwTeldOH4zh7x20wDoN0xUPaE3xDodjI/ stDuBIkYoZwNYVNQV16jeFu2gMItTvK9UAu4Epp0yyiuAf6es3toI2UJ5mOK 0ZWddTAT2ttik2wDyb8aKPN6JWB85derBP4rYCigVqDGlAEtGgLVb9IcIGhb 6s6AXV4gL368ZEn4Kpy1sbUV1khAYpccIl6ccIafATyCH5QfozR66zzJrGvA FHvfsX57FmImh2QaSbnB8p3vFOLzS1RH6u54Y+gOikEPnLk+lSJ3vSvnLid7 gIxTu4GwYSWSavr5bmnAE1rj1fsHomrQyMEIjXv83iB/a/Zg8e16FF0o/pg9 0hs2jtR7G7k1oMT0XU2S5j7gc/JBH5dKIzrHma/amHYD+MsCvqfYNaGq+XZF irAfdF1rWTatakYulpZlETa3gFWz9ItN6xsk1kmRE8nyh+El+cHqthYkcDWr SDj1NsSdNc2gP/UOxRby7NOXugMtkWOjIkXvkKZQdvZ3x0CQ7K8+mxDfiu68 e8T12jAITrpsOSTu/B4dUZK9Z5ocDJcjxbe/YWxDGXwXwqP5QyFa6odqF6Ud WSQyf/aUCYWpaio9P0MH8u942GJUFwrn+LjjVtI6kFEYiV7cPAwEPib4R2p2 on9+egTWp4XDQ0bmh4zRn5Bvb6LvrHAUPHyR4ZhN60IXY0aqapqiQK3KRfDS v5+R00o+l71tNJx33Xd/Jfgzmiiv9hDKugtNCi6r0qzdSP/BoLOuVCz8e6Jn kJe9B8lqi+cJtMaCzsVHpVLaPYiZwWV6yjEOEpU9TkJkD7KqXS9FhvGQ0GiZ ULDRg0Ssz6mW18YD9bhQrP+ZXsS3P17OJPk+tL2nGLpN9KJg5vK9UfyJ4F7y +1zD3X4kfeZ+ZJl7IqRku/7H3dyPKpYTrtiWJEKb68Ft2t/7UXfY9e9DrYmg 3mV/pulXP5JgkH0pdyMJNF6VUdRsBtC7tWy53u5koMrsvHPywBe0eMi1JW5H KqSrFWiKuHxF/9CSFYVjUsFOq9v7Q8FXpLnDR6tq7gk4KLlcmewfQikjtzQq 15/CHgOH0y0Ww+jEbtPs0UvpQN9W5LEcNoxmzI4yMhemw+/96tbDhcNoz6yf XeGBDAg+/lzmw99hdP2qkiTdcAakB4w/0n44gnp4Fo3R42eQTJx391UZRTxX il/kKGdCfOeBl2toFAXwFp0hbmXDMWlWP4dTJGRi+qyYupAN7RrLf129SIgy ZMiaKZADtw+kstWHkFC4JbP9RY0caKkcZlu6T0LldtcFqhJzIONQ1bB0CQlx uB0P8z+aC/kZ/5qU/SChtyFfzZhuP4fMt+W5plYEIrvxUc4kPYdDdBpeIY4E OlzAzbSbOR/S03vVLFTIaEhg7PaO2Xw4w7zvGRFIRtv8D72MDSqCa12qnUYP xxHbRvDlM3uKgd2Hv8utdRylXDW2lD1dDB6SXKuD3eNIolfWmtsN/062IVRH x5Fa3oDd0KtioNz7qUxeGke1ecmV1XIlINCrpFApOoHmLs42aHeWwNzFo40x fhNI2lmslEW6FA4duZUqmD+BLr14+NGLvQwUd7xq9xObRPUrNT/4jpRDp1Ai r335JJLUn//25m4FzP++s8f98hQSCDyj4visAm7VlfY9cJhCXIUZd1mrK4A/ 8MWLYvcptMp8UU6fXAHy2r49n0KnUFdTtdeociX8XXWPLy+YQsZ+jXc1rCrB YLY0j69xCt2SD17/PVkJ1qlTIzx/plAnJy+vnHo19P/NCgxImEao3XV7UEE1 jHTxCn1pnEY3O49BylIt2O5QITEXfUOKEn32n3fXgeExG5HKhm9I+VX2fZPS Bmg+3Z/4ovA72lnBPbplCwK9pw4zAWEzqEbZYMelawheKJ/O2vV8Bhl1PLXk lXoNBtoMixtxP1AVWaP9k2ozDPYecFZUn0UOpRnbi/Kb4TSTQ8dYwCyq+/Vb 0OBUC1CTvK5yWc2hZucngqazLWDHMP51oH4OGf3+oLVEewut4ivRDarz6KfU cc5C11bouvojzvXnPOL10KvLqWuFmcND8TM7KCj1/58P4Bt7YVJ7moLoV15y CUq2QdMfweV1biqqJ8v9kU74CDOCa0SvCRUpbVhXXSxqh8GeEK7fcVQkNHlr 10ROB9gv6EsI1lNRe+iRznfSn8Be44Lk6DoVFXYdtIvo/wTG+Qs5efwLSDj+ x0refBc4RVVmpDovIF9t0xD27Z9BiaXxLfJeQD9+jY32yXfDOmU9wrtlAQkd 0P/sr90NW+wvd/N+XEDZM/VtHLE9ECvfpXZOcBHRnyB9mkvqAc0XKTWMQouI Q+g5ZWKiF/gyuU42OiyimvM9+vRLvSAav0+h5Ooiirla6ZAh0Q+zlxYGWXMW kQVvF0eeYz80hXNMhpUsomX1lxNOgQOQ+0VT4zppEel5Gfmr0AZA8PBW1/KF ReR9uKVix5sv8Nd/TbeEi4Ye/T9+X4HkNOl2QJaGxopa7n4WHYTqxvNimcdp qGtu6+zhvYMwaqm49ZQaDTXJap5PlB0EixK9m5PYGflv/zE+Oghv/MO496rT kG3uu3vD5wfhlmHxrpyTNDT15H3c9M1BaPHni4w5Q0NzMe0P1joGoTaIJZVF n4ZCHova21sOgVqxoMqUFQ39ce59vP/WEPSoc3x4bUtDhkoW9+UChyBrlr0I 7GioYMtUuELoEHi+7j36Ctsy5ZfH8dghaH5Lp1J9hYZevxU4q585BLt8O1dz HWgoQsRmybdtCMozmO74ONPQ9v658+8FhqGYZLftkwcNyZzYtu5QPwzigmvz NwNpqCT/5d4vTcOQV8x6+hv2EV49fa13wzAjPK9kEkRDqtMp2TKfh4FFO2pK KZiGdO9Ja1OnhmHfQ/1ASggNeX7VSfHjGYEKE848nXAaSm/PLNM4PQIR+Z56 YtE0VOuReDjm6gjciLBxboyhIbUh5ctrbiPwqeqOuNg9Gmo+NRLm5j0C+x4s +YZht+2U+qoXOALJksor52JpaPhVdSBf0gi4OB7X/xxHQ3SsQ+1Pm0ZAJnKn +8cEGjqTKepYunMU7lmT53xS8PhTOKTe7R4FOt6ye63YIrF/JgZFR6H0ROmX Xak0tOrXZ7tVdhTcq/3c67AL9aMsjdVHofF8z4uVRzheWxYurTmNgu6zJC2n J3h/WDWd0qobhYJax1KmTBpqv1TIYIlGofdXQo8Odo32o2bPllFor23MTMRO OOqtntY5ClIaemdFs2hIk3OfKoU8Cm1Ok6VK2TT0sjFOIYltDGLGtrMZ5NJQ /jazMmPjMWBzdqEw5tPQTSErMeLyGGRwSyhpY9vqyRsN24xBp8BOcji27n9b ogccxsB68gc0Y0t9z1rocB+DxL2u3Movaai34ltTXegYWPDJsYsU0JD8eU+r xIIx2PEzyZMopKFvt8LSzvwdgxOpF7SlS2loxkjG6RkdCUJrQ7QvY1tTt9ML M5Bg8afIxj1sbfFJRQFmEtxI7QyiYotFRTzh4iEBj54qpbQMnxfDdpc1SRLs 80QhUhU0JDt7iW1AhwTBjob9/VU4PobnUbQeCart7Frpq2lI49VJL7WLJHg/ zmIth20We3Aox4QETteMI0Oxo+RZXnrbkeDk9qgq2Rp8nrwbzvH4kSDgYV+S Sy3ebyNl62/9SRDIJbjtAfaaZl6Z3x0SWO8cEanF5t2ZLED8R4J1BU7drXX4 fbXXZ4pjSeDDVRmfjJ2xJhatk00C2TNqb/Lr8Xgd+NW2PCdBUO5Q80fs6k7O xYo8EnSb916bxe5M/2u6u5gEL7I56mQb8PtO9O//UUsCJjtJrTxshTirNYYO EogdKNh18xWeT3jUh8hPJAi5/+p4AvbUfOBt1W7sKo+vhdgexjcOUXtJcHjO VPgDduQ+u1TjQRI0Uv7krWNXtalelZokgWX2ar19I96PnFTmllUSGOR6jooj Gup+FR2htUYCKxXHPGXsBBdJpk8bJCg/by6tg83TZsYwuJUAOQkXXZ9Nh71d o3AQ0KJkLNK8+byCdYAPNwGRXm5pvZvPk1dXV7cTkHLwa+cUNre6/G9GfgKC +rqNWJtoiOvPo0VBcfx8vd+SDnZXnqLHM0kCZmkXJCyx4026KFL7CJh80s7q hs1ZxTh36AABkh7kPzHYHB7u02eOEhCvn369FbtTmM2h4xiB98v7S33YsZ05 EwaqBBTPfl8kY7PLDhEWJwgwT1IzWMP+Z1pz2EubAA3Tc7lyr/H5SyKZregQ IM5qoKmCHXPK/+sdPQKyljMfa2KzZZb0R10iQD/3rJs5dpue9iVOEwIMPUpn 7LGjNyZ7Es0IyI64u8cdm9VC8HO6FQEFfvUF/222Z6u6IGlLwP7jktvubbav 0+vMv0JAgOA+/mRsll3hHyuvEmDSLnLlOTZzD/XtRy8C+h8tJr/Dfh9895T+ DQIGZ48Vd2BHyku96fcl4KTK1cBe7G2x5k3EbQLezeaeIbDfqS6rOQbh9oPv YRo7/Ef8q9kQAnT6Vyiz2Exa7+p+RRBgM1zs+2uz/S/rY7ejCRjWO6v/d7N9 7p9q+nsEOOXuINM109DpS8lKkXEEnI2UkGHEZtx6qJI9gQDSE39ZFuyWso8K DxIJaIqWnPoHO9TGoWzXQwJS52VMuLBPcW059DSVgPP2KSHbsbeix8XiaQRM hXvb78AeVD11duwpATvk/BT5sYvrZkmPnhHgpRRWKrjZn3KSn1E2AWmt2V+F sM2qjvPwPCdglWGiUBhb/shUfkceAZXMF+REsZnKYjWiCghonlswE8MePnh0 +FQxASNvvyiIY5cWjnnTlRGQ8JSzdtPhMpHsDRUEKAdlzmz6cp587s1qAtZd n7zf9OG9X9UU6giYsP/n4qaZc4IH5htw/9Z/ojb7HxWTds9HOL4GN1w331+e 0c3s0EwAz/6otc3xRe7xfyb6loCQTlDZg22ZJq4y0krAnFSu+G7sIwLt3Slt +Pxwv6/dnD9Livc1ww4CrjuV/t2Mzyif0FauLgLy6dxmN+NX8eBt2sduvJ/y WaI24xvN7aYY0UdA+8H47s34W8ft6Dz5Ba+fMfsHZmy2u44btSN4vtECrzbw +pKYuVJ8SAQ8YG6uW8WuCq+RPzROgCd7nP1PbNsQFtsX3wgINX3f/B1bma5s 1e4HXp8f2j7j2Ox3zB4Iz+P5poj3DWPX+L1sSabh/Z+1ltaJHfvrooXBMgG2 EjsZW7HtfP7+ZF8hgImpXAC93jy/OnvD1gkgr6brFmFPzP9E6lvIcJqF2TUH u87lqclfBjJ8cxM5loZt70SJ8mIhgyld/GAkdu8SOVOenQzVeb09t7C5rqjX z3CQ4cKGloI3doPV/VkbXjJwueVpWGLzGCtc0BMmQ6bIm5jN8/6td2iaTYwM fHqW3aLYrwxCg1olyHBn6tA7Xmwn3b5SNWkydIgU16zg+6JR8ybvAUUykAtU 2hD2tSP1X1m0cf+5Onmq2E1dfQU1OmR4X/lcRgabz5Ua6KhHhuFjg1b82ChH UurtJTLILC6MLOH7cPvOeM8gazLI+v5z+AV2/coVtl8+ZCgJJJ+kw+ZKDhzN 8SWDbnXC9Hd8X9sfflRq6E+GpaZGtR5szmufjMuCyMAZW7Y1B9tu+Fi2610y UDZEqaew2RDH8YkMMizLDurcwPe/tfl+rgdZZMgeXt5jjl35S2P8RC4Z1mLk sgDbSt4vKv0lGSZkdrzdhl3+bLzPrIoMwpJfrififGQeWuP2+SMZ7CafX03H +eullm1G4zIZijILDgXg/HhEVlQNVsiwEldNM8Vu5CANoT9kkOKY9jqK3dVj sfM13Tjo/vlctIDz75KFaewb1nGYysvntMNW89QLeL9nHCpcl/87hvN11yM1 k+7T46CcOOhcifO/6e21nwZa42DwZHojGpts1fCgRxs/X8NoaI29JKHyqVdv HJb/3D/Gis1frHh6wAz3N1W+alaO9/Mb2SPDbuNwf93CfLPe0Oo/8czRZxx2 r7395oH984cA11TyOHx51Nw6U0RDiU+mW9NSx6H/th1TBbbChYrAi2l4PKyl KwHYHmU6lKZn45An47POjj3nG9T5uGAccvYkB8viemiScSpGv3kcoh17fMxx /dQnXMryam4crrCcNgh+juN/8QxD4qkJKFygFc8/xfeDdk3Y7jMTYDZrCfnY lzX2M+doTcDs5HKsPTa9Aht7le4E7IhrdRvC9aMuz6cdX0wmoE09/VBLGt7P XUbSu10nQE+34UMUrjcFdB30s5MmYKiz8/pkEg0Fng1Lr5iagHim2Nmxuzhf Wzpdlv8+AZkHbtncw5bw0eYv+DEBamtRj1Sw255xP8iiTkBnqrRpIq63ef88 CU9YnYBHbiwsmlE09KKwytWdYxL0aAzKj3F9TkU8Rvx8kyDAoCdXHIbXj+fb v7JKk5BtX/FbANf3oiPnvmSFTYJRXJ7sVR8aUjkamsh/eApCzwY5T5rg+e75 tLKlZwqCv5MZb6vgenwgy/046zTEKpTFvZHD69N2j+wePA2O02aEDx8NpWy1 9DaQ+AbhW3SXxCiLaPtoZSZ9yzeoWVRIF3y3iBhvBxse8/gODnvP7v+YtIh8 T3gwdj37DhF/J0XlIhYRXZ5lMZlnBmzLTinK2i8iz0fF93iaZ4B/xDq2WHYR vZKJZOZ2+wGZawExrgsLiPucp2wIxyw4al799qFqAQ0f6Orxa5gFE9k4+gSv BVTyFCQmLOdgdqi12eXQArIoVuIWWp8DqZRI82tzVBQU9ix4OH8ecifHdgll 4P/D34Qec5yngFSy89kiQyqKfBJmPapLgartH48bXaSiKwZzkkX6FJAw+UJb 06ei3Q0NJTrGFDDLX312/gIVRceZv4uxpcD+i05M01pU5KSUusDqR4GBL4eo nEBFYqG8Z7flUqA/Iljr8H4qWlcOYB94QYErmdsvde+loq9z4925L/Hv5uai nlJUFG9cbnG6lAI/7P75WyJORRvSBl5hDRRgDlmpldlDRcOf454y9FBwPhUx 4dtORTXhv+x6+iiwES18vZSbihL/tdqf9YUCNet9p3W4qEg7R67i5CgFpFuc lUPZqajOt+ND8HcKnJ9XlKBso6LkA4px+rMU4PH4qR7FREUe5DRDUQoFZExd 94gzUtG+8y5jTUsUGA8NFzSip6KtW3qz439R4OHg3n8pdFREqvzX2XqVAhle DEe5NiiowTnroPwaBQYv7PM78ZeCHgqz/dzYoECJfqOq5woF/Q8V5sEc "]]}, Annotation[#, "Charting`Private`Tag$2768988#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8VF8bAHBFUv2sURGJopKQpSR5KJWlhOwhJNFiSyLJElmTbMmSJZQ9 +xIdiUqRnWxj7ow1ywyjRMl7vPPPfL6fe8+953nuWZ4jYuOkf3U9ExNTwDom prV/Hy1G7WqaFqAtTN6NpqswIrjX7664Dji/MXmQavwHtFt6i5P5DeCw6qXJ YQYD9oYLZa4Km4KAe6/N27+zIHePk/I4wAKaH2+WXV81CX+1rjyzFrcETuPD B7kXJ+BHQFeDdZw12GxrXN31fASMbRdro/htIbr49FyDOgENpwQqPiTZwdn3 ly/Zqw+BzJ4TbxaEHYA19PJXi6XvIGpoF/Ra7TrccQ47UGzeC0nrrbLFXt4A 17YwTomr3cBG8U83EneE5vfbWwfNOqCa3NHywcAZ/I9t1Qt2bwVnXVst8zgX ELtPOHCQv4B43c+PC72uILYxgOVG+0cYkg469ZjfDeo1C/LJhz9AaP6eRPZg N3h3QTGog6ceYlJ21IldugMxucXc44MItDhzlN8luUOdWbtHBr0KmHyOVxmR 7sLeY3JcD4JKoXy2WYEm7AmphwN/yggVwk1Ly+Ig63uw39X9ttpMJoh+o0nt fukFdenlHuuaE0DA4WWB8HNv+OkQ4Xlznx1E5PPs1xN/AEyByrm7Jp3QaaGM jMlrPrDbsLNe7vdT9OBjAtd7A19QnBVNExFLQfJHJB+bxvkBm2yMRE5JLuKc dfsqdtQflAa03N6/eoN+ZNZumu/1h7hpv61xF0tQKt+FR6H8AWA2V/GnQbcS WcSwtbseDACTxf3t9tGVyKvlWYNRdQDIiomq7n9VjYwCyev3XAqEAsF445TR GvTfTxeft0mP4ENLZAnL0zo0nlddG3QiCFruGi0/ffoe1dsy/71ICoIzaGXR KKQeeXTFeEwLhwDXulbdEasGdDF8qLyyLgQMPgTEVqg1IvulHK6rNqFQ4Bvb 80/wIxopqXARehkGOQUlvMW1n5BedP91HfEIMKhKm+F+/wVJau/JFvgUAfR8 wUZp96+Ijfnm+Ni1J+D4cFWUf18zulz1rwgZRILAx78Ke7xb0G4rLeWSqkjY wljiyT7zDfEdiJQyiXsK75imvXattiI/tpJ9IfwxsLGLT5z7RAeSOPs0uNg5 BnZYkoznAjpQ6a8oW5s3MZARFfDraWUH6gh0mhz4FAOJahGhz792oL3MkrlS 7rHw10h/1cWwE31cyZDq6ogD43RSr6N5F5o/fKvhybbnkGwupt03043+Y8Qp CIc/BysD1x6AHlR2+E6cBvU5qGc2KQl49CBL54uLLkoJ4Hr4T4Lamx5UOMNZ 1TCRADkXY3eE7+pF+hPBytdPJ0GW8audsYxeZLDtjmb5TDIoP2GxSh/7juKH 7p0q+/cCnsrdZGF52IfUBE0zSIYpoOPlalRe3Id+mB3dwJafArKDU6UMog/t mva8kn8oFYwzS4wEoB85ORwRYxpMBWazGxIWC/2ok2feGCWmQa2ffnVZ0QDi sS18namYDv1+VTszzw2i+7wFZ4l7GWBtV3VF2pCETEzTCulzGeD1IKnGoo6E aAMGm9MFMkFxB7dXH4WEHlmyXb14KhMW97l579owjEquOAmUx2SC5bDA442a w4jD8USg19EsCHoT4XPj2zBq9O8zY/V+BeX89yr+sycjiiMf7WzsK9Dj+ln7 nwsZyeZxswqy5cDengs30kwJ1CTVaNUikwNZ7zQebLMnkFWRx9sHpjkwL5Qd 7+lOoMflw85ETg6wJjNKNkcTqE9g2HvbdA5EcapIJmYTaKIufyDrfC5Ibz+w zvIrgV50axYdjs4DpZM2c3OKFLTe63BuhG8BzCjeehneQ0FbVv3Mz+4qhCyd 7OlZNiqKdzC2lDxTCDsn3pkd56OivV2SVtyOhTD94KGxlwgVqWT3XhmoLYQv hyIde45RUVV2XFmF1BtQ3ujJ99eBimYuTtdof3sDhc9CeQQ/U5HEddGiTRJF 4PQiJX7yDxUZvn729TZ7MRhsoo7o3x9Bb5cqp/jkS4BVL4qlhW8UienNTnwI KwXxyufPOz+PIgGfs0rX0kpBnvWDb0DnKOLKTw3bXFEKaknjNpKkUbTMdlFK j1IKifueGVszRlFbXcVtkmIZaCZYl1oLjSFjz3dhpy6XgbweBb2WHkP3ZPz+ /R4tg7DGmCNNTmPoGycvr5RqBRRLefdEcYwj1Hxrq29eBVRcWiykKI+ju9+O QfxCFVDOUweSjkwghb3dV9sFq2El/NXF7tMTSLE246lJUQ3EsZVZfIJJtL2U m7RuHYILdZFHc4R/oEpF/W2GNxBkbe0dunDyBzJqeWHJK/4eZAqFNl2XnULl lFPNrcr1ULmo28A9MYXsilK3FuTUQ71rpZOR+DSqXvy9U1+9AYLDtRt9OWZQ /fXknabTDVCauZz39tYMMvrdpLnAaASVHre8l3Mz6Kf4Cc78W5/ARHz/WGbB LOJ10a3OrP4EEcGt8t/bZtHz//+a4MtoclFaJg2tX8rl2in2BZbzb+snUWno LUXqj0TUV3i2W1xugxIdHVm1Kr9Y0AzkSVmV4650JDR6b8dIZgvc+64ptv8F HTUHyH/7KNEKDTr10vupdJTfJn0lqKcVdD2ozdf/0ZFw5NRS9mwbLEuwRtXr ziEPbVN/9q3tcIT7/W7eS3NoanGY1C3TAT0p9t1CeXNI6JBeu5d2B7BmNdX1 Fc+hjB9vv3BEdMLJB2YpFizzaL0auXUmthMSjkgq7WadRxxCr2gjI13w632b GJvePKo816m3fqEL+Oo/HWE1mEfhDmV2qXt7YL/zN0XDyHlkwdvGkX2tB9Tl 78gyJc2jX6q5I/Y+vZAwu5BU1DyPdG8beSkxekFioZNJlTSP3GQbSrd9+A4z Kiv89SvzKOH/+esDx/dSvG/5GWi4oCGsXaQftE9l3XpwkIHaZlimZff1w+xN GbU9kgxUJ3n6XIxkP6gdqsn4hJ2a0/if8dF+oFupCXJKMZBN1sfHg+f6gcJB ao2XYaCx5M9Pxu/2g/IYh9UzBQaaCW+OXmnpB6+uXz1qwED+iSJXr1oOgGii /NA1HQb6c70r8cC9AeAqXQjW02MggyMWT6V8BqBrue1HO3beurFHcgEDEPAz gq6nz0CW8YsuJyIG4GTL8rjuRQZ63yigoZc+AO7+icFahgwUtNt6wePLAPDR pdMkTRloa8/Muc8Cg5AzfLEwz4qBDqpt/Gf3dhBKe/RFUh0Z6E1O7r7vdYOg keNJ53FiIHleXT3Nj4Mg5R9iEoitPB6fcbB9EAL+VTLsnRlI57GENn1sEHj4 s0wOujKQa9/5eE+eIUjg5KAl3WGglOb04lNnhiD/6oZzwZ4MVOUSIxvuMATK Ii9JcvcZSGVA0XzFcQgE0uUYz7Hr1YcCHd2G4FsQvFzF/rJdvE/XZwhapfh7 mrwZaLC2wocvdgi+P1oNNvVhIKbNA80v6oagLblb3s6fgc6mi1wr2k6Cnt0p kgrBuP/xHOIfBUlgKE0aC8beHfFnpF+EBI6H4rUHsZc9u21YJEnAtKGa1z+E gfL1QiyNVUkQ+MfyVVMozte6OcMVexL898xuQOMxHh+X69Q1q0nAu6tjbGMU AzUb5jNbIhIk7PBn18Ou1E6od20ggeqrYPJz7KijbqpJ30gwCJ1hEtEMdJpz vzKNQgJhubnfZ2MYKPfdE7nYLcOQzd1x7HYcA+VsNCs2Nh4GI+rqBfUEBror dFmUMB+GGHV6ZRi2ja6M0aD1MAyasWk3Yes8XBfaazcMkiftI1gTGUh88uVc i/MwaGyUO+CL3VU6UVcdMIzr00tvnJIYSOac6+WYvGEQz9/DpfqCgSbuBSad /TsM+wVqb2WlMdAPo4P2aUxkIBPmav3YVvSt64WZyVBs3POJPZ2BtPeMKgiw kUHpQNDMbWzRkKBkLh4y0E8rJCu/xPPFoPnmihgZ1jeYxqMMBpKcNtzSe54M P+iOeuGvcH4MzqFQXTKc07wkUY19qvbkbZWLZDDSPJEzjm0WIT2QaUIGXxeh FLXXDBQisynX7QoZjp+ZspzDHnOr0eLxxO29Ik6p5uDxNlT8r9GLDPPWFVH2 2Cuns4s9H5AhrBKFRGLzbo8TIB6SoeTUa6dh7FNVTj8KI8hgfv66oGcunr8r oqHnM8jAKnKANSkP99eOX2XdKzKo313ue4dd8Y1zvjSbDPnREUYE9reUv6aC hWQw2HFUSywfv0+t58BUFRkkPnEKZWPLPbm8wtxChpMsLdkPC3A8j0KaglvJ cPno6v1U7LFZH2/lDjKcueJDrcV2MXY/TO8ig6ZLCqMfO3j/lefG/WT4mvmT i7eQgcq/KDuIj5LhiKq7mj/2Vk46W8MyGSIORQfqvGGgjtrQIM0VMtjxHVyw xY66KcbaukqGad7TO7yweb6YMfezECDqIOGXtebAxhUaBwHBHWM9S2vt5azu 3+EmQIG5Zp69CLenLC8vbyUg/6d9gwg2t6rM7w38BOxIdwvRwOb6kzC/cw8B Z8q8EqOw27IVXNLECBApPHotAzvSpI0mvp+Awn/Ck2XYnOUbZg4fws9/lsL5 HZvDxXn87FECjoX4TOwoZqD/xk8P3tYmYJftQEc4dnMs2WzpPAF0NmBNwA5X 9+p7oIv7s+RGz8Lekv6mJ8SQgI5s30mEvdliZ3vKZQJeNMk7zWJ/2VJ+QcyG gBonDbMl7NBq3W85tgToNvv8ZS5hoE07Hn0tcyBAnMvfbgc2Wye98ettAkyK ZttPYH/2C1PXcyegeJvS3TPYwTLiH3o8CLB+ttSpg70x4lId4U2AbdvfEkvs j8q/VK75EuDhYnDUDvvRVGTttD8BTqtnXW9hs2p+rF4MIuB+kASn19r9i1bH vEMJuKR1yMVv7f6sPxXrH+N8hTFCg7A3sBwuY48iIJY2NxqF3VD8VS46hgDZ tyf2xWMHWNsV73hGgKWx2+5kbBaUWLgniQDe/U1KWdj9yuoawy8IsNquX5SD XVg9TU5IIyDjk0VnwVp7xVhPowz8/RN/pxZjm5Wf4OF5RYAhXUqgHFtGfiyn JZvA9Sk7VK31vzjiVEgeAbPuKZw12IPSRwfVCwm4pzEf9g67KH/YjamYALd+ 7tK6tXgOBrPXlBJwxWlzcD22ebZM1t0KAnzUJzY2YMvu61ORq8b5fVoh17iW /0y/3tkaAuJDArZ8xCaJSjjnIAICTS89WXNJagebXT0Bjw5ooDUH7/JKE2kk 4JqgceKaLZP2KA19IqDgQsyeNcsLNHfEfyHg9cAWk7Xnb4p3u2HQgvvT2aS4 9n4SnxALVxsBper9jWv9K41uTPraQYCKoubqWv9DuR0VgroJcCgSHV2Lz+rJ tm8nvxPgWuB6dy3+I+zI7l8//v77T5ev5WdL2LXVqiE8/rdmpa3lj8zGFX+H jPNvkXasBLv8UaXMYSqOl37yQSF2OIt10/Qojq8ozikX28Z/k83rCQL2+Lxm f4WtyFS8fGWKgGq5AJN0bPYHZtHCswSYZyjorn3vSs/chjgGAd4LGmfWxkfE 4kUL/V8E5NjWq4djX7nz9yf7Eo6nWJUeWLI2387vC/yHx0/rPR0P7JHZn0h1 HQUaWXXWuWBX33xh8peZAqLTBtYO2FftaSG3N1HAyFTygCl21wIlXYadAoK/ yRrnsblsVd/+4KDA/DbLrLPYNZefTlvzUuBI95k+eWweY7kLusIUMAkqsN6C PdE1ML5FlAJBX38oMGHX6gf4ftpLgeMXRisW8Py01+kuUpGggEvdycZB7Hen 7/IeUqDA0fEh1mzsmA/C+RNHKbBjXEsrEdtB7fPpDCUKqPxrO/4Ym/cE/92d qvi6v+EBZ+wb8m/7NmlToFn1nrQsdl1bd17leQr8zvt8WBSb7xbd55ouBbbR 7o9yY6NMMfFGQwqcZFOzpuP1aev2SFdfKwqEClnkZmO/XbLdsniHAo/n10ev rY9ccT6kTA8K5E9Ev/mN18+rsglFBl4UOMZ62JeKzXmj1bjYlwKBpZUKldhX Bo9l3AqjgE7fzj8W2FsQx4mRVArYSm/9nYDXc6tLB7iiX1IgxvXgcT/sssVT VLUsCoyPzMlcw74s4xmSkkuBidNF8rLYJWnUbrNyCng953rRgPeLSwGVju1f KTDGtMQ0gPefXE2b1He/cH6e9mh/w/ubvKSICixRoEM40Swf+x0HeQD9oYCH usS+cOy2Tovt75mooMX3aUkDe8HCNOLDZirYxLQHIrxfqrjq3v+8iwrvjHog NRvfn6Bi0nGGCuXS9s4yeL829V75qa9JhZA30mc3YlMu10R3alPB17p4cCgL P2+vUmuXLhV+ZLGqh2LzFyqc6TXDvlbBQs7E4/+DpPygIxW8emINfHC9oNmj lnbtDhVeuO/dzoL9c0qAayyOCvlZsVaPcT0Skzz+Kek5FWR7y+jG2HIXSn0u JlHB/Kiogii2S/F5Wl0aFTIkmAfKUnG97eH7LTGPCrqhpMS+FAYa3TAWrldP hYbw0iUeXP90Cxdtqp2hgvzApM15XE+5tXu/v02nQtbdiMcc2FsfanlKMKgg 5x57q/U5A+mNUSee/aZCk/P0eV3slrxtn12ZR8DxXk6kTjwDNR67/2g//wgU X68RO4HrubKLZ5lj1EfA3EH6M+UpXr+0KwMFz45AToKMdwq2+akDbJma+LoL z/wl7PVyW9jLdUZgTi5qZ1ckru94Wrd9NxmBzw8VHd8/wfOpzUhC8NYIVDd8 3R6J61EBHTu9jNgRUJEYe72C61kfjcCU0rER4IsuF9mJ6+MOS3tzmckR6Nvz MKPpAQPtvaPNnzc1Atv4ZKbuYn9J445+SR+Bm+5qDZ24vub9k/woankEIs6R MoNx/f06v/yWM8coCO7qPziO63c64jHi5xuF216xoyseeDzwTByXPDIKH0KO O9x1YyCRIa3vLwNHQbJ8oXvUnoGUjgbE8MuOQQP5QGXGORzvrtaldZ1j4BVE K3fH5yWm3pfOJzaPg9KdzG1tovh7f3lMcfYbh0WdNo7cTQwUz2Lppr93Ap76 KVmEU+fRVlJZ+vqGCRg5U2NWVj2PNnj7GRxzmYRi8vC5uNB55KHmsqEtbRJW RmyNWO/PI6Zsy0IKzw+oc/7eLmo2j1wTCh/z1P+ATtvOuA6ReVR7MJiN23EK 0rubMqrG5hC3lqukP8c01NU/lFDC59fBQ22dnjXTkKfqdXafwxx68wL2jljO gHno+1TRfXPIovAIt9C/GViaNHcBfF72DUzzG8yZhWVtPyGuOHx+nhBK5DhH g6yQcr8aLToKTg60IunQIHVx84ytJh3Z6s+IFejRQLpgZge7Bh0J1tS8OW9M gwbfy8Xmp+ko9Mmlj+E2NDh4fHXqN9CR/ZHnc5s9aRAg8uCemAIdiQbwamzM ooFwSwbrBWE6+qd4n733NQ1CV68G0IToqG+G2pGVSwPXDaj+iSAdRRqXWJwp osGo6TG/Vn46WpXQvx1YQ4N3dww2nOOlo8H2Jy+YO2lAFtGSOLaJjiofLV7p 7MbtM5OLujfSUczxywdefl+LJ2zJhZWOtDOlSk+ScH+oR75mM9NRtUdLk98k DXZLJU9J/qWhuEMKT/SmaSD7mcZss0RDLpQkAxEaDfpiPJLjftHQ/nM3h+sW aOB45pDBPzoNsazryohcpIG8ranL4VkaIpcdv261TANd8RpO2ykaqrn+Ulpm hQYf0wyl4yZo6Jnwlp+rqzQomBBr+zRKQ/8DeOksMA== "]]}, Annotation[#, "Charting`Private`Tag$2768988#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8lF8XAHBbpWQJEZHIUkiyV+pUkhDZQhJCSNkl8iuUvUKRhCxZyhKR LUsXWbKvZWdmjC3LDFOkwnu98898vp955i7nuefec4WtXQxuMNDR0T2mp6Pb /PbXN5f7nHENerRRZ17FBvzTsnl5XdwCZKddCO92bsCPwN6667HXYaIjKIBl 6x8wsV2pes5nC76txfpG5stQp8Zf+iXRDsacqyV3PKKB7IGTH34K3YS5kFrB JpVFELlsF/LujCPcUN0+fdqSCokMVlliabdgj39JfmbOAjCTHr4xFncGbull Z3X/WSgndLd9MXIFc5k/R0tapsFVz1bLPNYNAsTcUbTnJIhX/2r42ecOLZle 4VoOZBg5EqL2lM8TMu/32FLjSBD+/kACa6gn7Jvx3c/IQoKY5D3VYlfvwM7f 636kvwTQYs9W/ZzoBQK+txuLd40Bnd+JT8ajd+FBQpRaqvswlCy0KlKEfGCr 5scEDo5BuG1hURhy/R6krCz8DiX2gUg7RWZ/mi8ALY9lD+Eb8N9MyxN6dR+g mbBEz9sDEe85D+qLPwAFBn9XN91uUBdMT5+x94PpyxwC9sWd8KAhnqPGyB9e x96KmHZuBwUl6adXYgNA2+ysjihjE7AveLaIKT8E/cEnagthDfAjo2r7Ut9D 6I7zE1iRr4OU3ZeCw/kCYXhJyIW/GcG1GOYud6lAmF3nO+BsisC37WWdcXkg OKylk63bKsA4iMBw4GoQmH42VrhIXwY7f7n5VSQGQxFn8WDI7AeYyi2vCjkZ AhyHk+MuKOVArS3jP8PREEiRvlxbNJQO3r0x3nNCYaD3UVL4dvMzMHwyUlJW HQbVKa1ae5nugcNqNscN63AIr3JZqC5xQ+SPpW6CaY+Bblsne+VGHNKPHnTU FY+AzrRUyXiZfCStfSCLvzECyjquMClWFyBmxttTk/aRMJfK7Xhg4COy/LRe gIyi4FRq8bN7o6Vov5WW6sdPUXD+h1bkaflytPtQlIxp7DOICb6796U2QgxB RTqfJ5+BQDZFajSwGlEJ/bdFlZ+D4/7HdVkWNaglTjiH2odtaTpjxfgFBTB/ lAjjiwHV5JwZed4GJKnxLLTQNQaaKNu2JhMbUNHyc1vrDzFQLi/EY+beiLqD XGaGGmOgyGDXbOHbRiTKKJ0j4/UCri9x+z+TaEINa+kyvd2x8COtNLP8Twty UX0UuXboJRyukM7letuK9vhep4oHvIQDR1gkdfXa0M3fgoU+R+LgZ42k08ir drR41KkukucVWJHuxIQKdKKdtFhFoSevgNL2z0UsuBMVH70Te2H8FcjY6lD0 ujqRhavhitvxeKh2Wt+tv7cL5c+zf6qbjoc3IVsvLed0IYPpUFVH9US4UN50 v7W6Gxnx3NEsmX8NqxuOi1YrPShu5J5a8XoSDMX/01JEveiMwJX00cvJIC+1 MOjytxf9MFPewvw+GUITntgsKn1D++Z8bN4fToEzTOeyhnO+IZebSmJ0wynQ H/B7o/Ppd9TDuWSCElJBKDGygejVhzht899lqLyBpI09V14q9qP/uPM0iPfS IVLwYHXMu0FkeiU1n7qYDjPNdPJ5h4YQZchoxxv+DBjxY7iTYTCEgi2Ybxiq ZUBGt+JjHd8h9NHGhb8kJgPM7VnjiluGEJvzySBf5UwYMsqj335zGNU/HDDb ev8trN5aelETO4JIzrspGi/eghT719tROSNILnfXVgHmbBg0Z6m4UD+GmmTq rdpks2HEtuKS8+QYsirwrnhwJRusi589KWAkoKclY67E7GzItmRxtBAloAH+ sfs8c9mQ9O1vssApApqufj+UqZMD6zmR/1JsCSjpm2bB0ehcsGp3amUmEhCD 79GcCP88kJs7/MzuORGxbASYa+zLB9tuByn+FiKKu2liIX0+H6TqROhG+olI tFfaapdzPth4On2OnCSiU1l9NkNV+fB5MSW5np6EPmXFFpfKfIDGpJEbd5VJ aN5wrlK7/QMoeVXe5U4hIUlHkYLtkgVgoayReHGAhC6/e9niwVoIuoNS+w/Y j6OK1bLZ3QofwcpvH/ckGxmJ6S9Mf3lcBJpqG8diu8mI30/juH1qEUz8d7JR bpSMON6nPN5RWgScaeed6mbI6A+zoYw+qQj4tUzNGukmUGd1qceoSjF0+V/a piszgUx8Pj9WsyyGC5mfZbjOTqB7sgHrvyeKwdrfVsM1ZAK1s3Nzy5wuBb7z Yt9D5SYRanXi8s8thYRWzgd7bSfR3fZjEPfzE+hzvZS55TKF2GSKJ5qYy6Gy 0d5IwXsKKYh+u9ElUA4cmeWME/5TqOuixICFejmESvcOOj6fQlIt3B5iseXw fqBBZ3vxFBprpGQWKlfA8jbmDMnVKaRRk8HWdq8SFBjL6BTuT6MTVenPTAsq QaBTKkH2+TTiLdo1Sk+PwJ1rz+3vd2ZQmYoBz+VbCG4NEOqU42eQcVuSBbd4 DdRaq1Yaxf5AJSS11g7VWmg2CG/kvDyL7ApSuPKya8GSTnyRMXYWla/83mtw rg763J7ZiIfOoVrH13uvzNXBcsfW/d6zc8j4d5PmT1o96DRp99t5zqNf4ifZ 3zs1AmHwX2eiygLidtMrzyhvBOmcB1FrVxfQq/9/mqApv+HvfhUKYljN4dgr 1gzV82frwJuCKkgyfyWft0D8l91LaVupSGnDqsQwrxV05Gd80k9TkeDEvT3k jDZgBMmtJCcqag1UaG+Q7ACveQXSUhEVve88YhPyvQME5vdJ/eukIqGo2dWs hU74wxmxM1dsEXlrX3nIytUFS3IVjOdlF9HsytjoN9lu8DxObx36aBEJHtbv 8tXuBtNrXNbu4Yso/UdFM1tED5wWvsEmOrqIGM4QOuZf9EArD+PTpbFFxCb4 lkIm94LcNQfPXuklVHaxR5/hZy/48k9UTR5ZQk9uFtuliH6H3BMv1NucltA1 7k62LPvvMLurW/arzxJaPp1DdvDrA8lZnxONOUtIz8PY9zitD44M8d3sqlpC nnJ1RTxf+iHy9p+co6NLKP7/8RsAz4TEo6t/ltBYXt3jLuFBaLtA+QisNNQ5 zzQnJzEIPhznXGewq6XVL8ZID0J62Ovy52w0lJJdv9NEeRBOnG1dHWenIevM hqfDFwch2na3WAAnDU2+/ho5dXcQmpN3aGTy0tD8k9botbZB6JSQ8EgUpqGH CcI3blgMwVuvslHVozT017E34dC9IZA+ocF1SoGGjJSuPZPxGwL3JzIJtdi5 9JPB8oFDMD7oXX9ekYYs4lbcTkYMwSHrQHpdJRqqqee/oP9mCA7nxvKZqtBQ yP7rP72bh2CdEjRopkpDXN/nL37lHwbPrXGie8/RkNSZbet2FcOg88SBHG5A Qx+ycyT6q4chcCS9i96QhhS49fQ1G4aB6TAYe2OrTsWlS3UNg8yPCTFbIxrS fSqpTZ0chnQba6KSMQ25D+jE+XCOgIOKxPDXKzSU3PqmUO38CFTqVPMOXqOh T24xck9ujkD33IG7yVY0dGpIxXzNeQQi+ujvbb9OQ7XnRoKcPUfAc/cPHg/s Zl7xAT2/EWC9JC2kbk1Dw1WlfrtfjIBbf9ktsg0N0e0Yak2qHgHploGtHPY0 pPFG2L6AdxRqcx269zrh8cexiTcIjIL90VA2D+z9EX/Jg8KjkBHyi9aE/cfn mzWT9ChIMqyWeznT0Hv9MAuT06PwaOe1E60uOF70i5fXHEbhE1mPy96dhsYs q89plo9CQZnsE/O7NNR6+T2jBRoFs/vyHFnYZdrxte51uH8HN/iF/VzZ83Ri +yiMRA0mP/GmIXX2g6oU0igEljM6lvrQUM7nSPkXLGPgdead7JovDWVvMys0 MRmDFc72X+t+NHRX0FKEaD4GOwTi5jX98frSkzUevj4GvCJXs8OxdR/Rh/fZ jUH88Ru8LdjiM2mLba5jkLz2iEE7gIZ6i6arywPH4BCj1T6NhzQke9HdMiZ3 DNDGfm/ZQBqavheUqPFvDNIad7N/DaGhH8ZSDql0BJCLl1hYx7aicjEIMRKg 6Ol+P8VQGtI+MKHIz0wAefs/JanYImEhrzk4CcCUnufnFYbzxaj19poYAfpK Wf13PaYh6bnLLH06BNioUohmjcDxMbqIwvUIMOf89tUpbLWqsx6nDAmQ3UN/ 3gXbLOLIUIYpAe7PZ0d1YIfJbs/xtCGAi64P5XEkzifPSi1OHwKUOWkQaFF4 vY0Urtf7EiBU3vCi0DMaWlPPKvR5QIAhCxVLLWxu3lh+4iMCmNk0+yRjq31y +ZEfQYA9e3IfqT/H+bsmEq6TToCdUxor/tF4vHZ8p+jfEkBkoLcvE7u0nX2p KIsAy0LiVq3Y7cn/rgjkE6DT/5IDTwzu78z3Q7OfCGC9rGeaiS0fabnG2EaA 20TRA7Ev8HyCw5pCO3A8qmK+FGNPLvjdV+0mAH3Ufonv2G4mXkepvQRwEros v4wdetDmlckgAVQKqOqKsTRU0qx6U3yCAIljPpfzsbnYqcx1fwjAMUcvGf2S hrqrwkM01/B4kkyNcrGf3xbb2rFBgOpzVvL12JzNZoyDTETwGsljX950UP0a hY0IavZ+Z43iaIjjb/zS3gNEWGWMimd4hd9flqJbqhgR5KjCu3mxo0w7KeIH iTAYzq0uhc1esmX+6GEiiAho1Btgs7m5TmkoE8Fhhv1CEvbOKfVhD20icP4X bSURj/PjBcFsVYcIf58fV1LGfnLOd+CBHhHiXs3XnMdmefPhe9hlIizlpv61 xd5xbW9XsiUR7HwdVl9jN7OUXBKzJkJE1Qv/HOzwcr32bFsiWM6LfC7D3r4n uKX4JhFcvgSbd2Mz91DrWzyIcJXvpQRDAg19DXh8Tt+LCKhk0poVO1RW/Mt3 byIYy8wY7cHeFnG1mnifCPLdR64dxm5QXT5l70+Ef8GhHsrYwbNRVXMPicAi UXX6DPZWzYbylRAisO0c3zDcfH7F6tj9cByPsulF883nM/+WMjwlQq0gLf4G 9hamo8Wsz4lwvuQUpxc2E0rIP5BIhA+vWmOjsQdVz10YS8Lx7h5ti8fOL58j xKcSYT0+Nj8V26zkJCfnW/z/uUMeediyCpPZbVm4v4V9l4s2x1MYoRaWSwQO jzniJ+yC92OedIVEsK5Q+/dlczxSoayVRUTwbZkM+4ptniWbebeUCPy/Y2pb seUkBk7JlxOhcsAssxObOSOgb6ESx4dRXbEXe1RE0jUbEcGcwcqlD/tjSjez XS2en0WZ0eBmPPf5pgrXE+F3vNnEMLZF4oHjI41E+CNvKDyGrcDf2h3XTIQL qXnMROztcZ63jNqIMGfkk0DabH+3IBNHJxEeVKCBceyi6PrElm4iHFSN+ELG Dt/lrBjyjQjpKoumE9hWkTztZ/uJcI7116tNK7Eiu/VBItA4MoM3zfLYfuPT CI7nCw6hTROYOeLuEHB7k6dtNtsrCS6TPTpOhJdaaoab/T1hut40N0GEaUZR yub4rB9ut343TQQJXYoSAVuFrvCPzSwR2K0KJEexWR+YRQstEIH+llfzEDbp L4P0EBWvhwQtngHsMp+culgaXj88x9m+Y0esGF4zWCbCWTr9wm5smzv/frGu 4uc9Ehg6NtunpUc0/SWCZrDYRnPCZj7pSAStE+GF9t+3DdjkhV/oND0JrnQc XKvBLr+dZPqPkQSle8rXK7FvOFDCPLaT4MO68rZC7N6fpDeyrCQwqK2pzMLm sD1d8YONBHLtvTUZ2JWWz+auc5Mgj4kqE4f9fORYkCAvCbgaw6ejsO2vkgQH +EhQ0jqtG4bNaSJ/SU+IBGfXBUV8sKd7h6ZYREgQ37Iz0hW7yiDQv1GUBJxC C+/ssR10vxWckiTBb+vScSPsz+p3uQ8rkiD3ca6XFHbMF6H308okmBu8e3E/ 9s0zX9XTj5PA9Ux0Bzc290m+u3tPk2CwcnrkH87nWwoVA9u1SdAtayDQhF3d +S23TIcEz+wGkyqwdztR/ez1SCCitb37PTbKEBOvv0wCSedgrWfYXLxR7v5W JNBzkw4ywnb4mK1+xIYE5vf3RJzDrrpUv2f0BglU7ekvKGDbh/75fOIWCVhj f7ZzYles2rKs3CHBqbxwyVa8v3HE+o1meJOAkTe08hP2Dbn4AiNfEry/1beR ubk/3uowKfQnQfqO2Hh/bJvhY+lOj0mQ8OiTsCw2C2I7SU4hgdfWz37+eP+1 unqIIzoNv5/RWqmb2MUrauNnMkkQe7M6TB/bUtYnLDmHBHZF7VeFsT+mjn8z KyFBTZ/xlSq8n18NLHPuaiGB1NG12kl8PuRoWqd8XiaBaRDDyw18HilIC5+C VRK0lz3vJGB/ZiMMob8k2Odu0liD3dlzjbeGbhy2CibNPcT+ee1KxJcd47Co tMbDgH3KXe+/r/vGISd4bJGGz8vO+FOm3efHoXP0/nIGPn+v3F/7ZaA5DrE7 yyceYJMsK6N7tMfht4xItAn2T9HjHb1640C+G3OQGZsvX/F8n9k4BD7qOWWH z3PrL9IKw87j0HpOXYgHn/ea38+k2t8Zh5r5LSdSntLQr1l+jslYPL5PeePn cD0R83qqMfHVOOiip5mb9YX8pSI/w8RxoLLvERwNx+dpoQ6lOnUclmUNxbyw 57392xNyx8GfzibtDa5PJrZMPtGvHYe51v5r87i++SZUsL1qfhzOHenboYXr Ic+u+zUeVDy//hdGrNhcj7R8JGnjIJIuaNj5iIb0J8enX/4eh7M2Oc6Xsdty eb66M5KBm71wvzmur+qP/Rd8kI8MDlk/717F9VixoQZjzDky7DzZLyPyH94v tcuCBDTIQGCybCPges9c7RBzhiYZ4gQ1pJKxGeRZWEt0yXCS31hsL7YuZwdP vykZLsRLcnHcw/nXaSwp4EQGA0b/oXlcX/Lr2umnvyCD6t7piz4eNOR3ISi5 aJIMPCIN/F03cX1g4WAuO0OGj6wRlgHYone0+XJnyTAn2mB/FLs5dVd0GpUM 55te10Y54Pz7+zr4+R8yiO1+/OYirqffvS9xcmWbgBKaCccnWxqiIk5jvt0T QPVLutGL6+9OzukT0koTACF7W2wtaUh4RKs/LWgCrGQsFpnx/eC4cmAMn9wk /HBqoirh+4j5vo5V+p5JMM+z0HTkx/V7X5rryR1TkFwWxDGO71O/mp+SXAOm oEdHuYN+eQnFMVl4GohOQ6KtnPzxziXENVr8hqFuGlzlztR8fLuEttwPMDrm NgMq3KKcU3eXkPcZty2dqTOww1acfPvmEqLLssgncf4A4+gZjkqNJeQen/+U s/YHlB87QS5mX0JVUqHMu5xnIdPW0o7Yu4h2ablLP2Sbg7z/LiomxS+i4cOd PT6Vc1DT0sPUZLKIPiSBKNliHhw1qEV/di+ia/lKuwTX5+Fdri9Zs5uK/INS A4azF4Dczb5fNwjfn6cFE9guUmDk59CwxHEqCn0dZDWqSwGCc9POLhUqsjWY F8vTp8AvI841H2UqEqis/KBjQgFr3rJ9LQpUFB55teGJNQUWNizsHI9QkYPS q8UdPhRg/uq27bUoFYkEcl/YlkkB01re6G42KlpX+Y+17x0F338OdniwUtHA /Hh3Zg4F9MqSW7h3UlGUycdr5wsocFCsZovxdirakDTwCKqkAM+bvgffGKlo uCsyibGHAp3n6bc/W6SgsuAVm55vFJju54toWaCgmBOWh9L6KfCZzBSzZY6C tDNkis6O4t8jDEW8Jymo3LutKWCGAirhgxdMhigo9rBipP4cBRzMI3qf9lOQ GynRSJhCgZ0ZPMQv3yjo4MXbY9U/KeBomfGfTCcFMdH3pketUMBVOpfFpo2C CMUnHK3+UCBRPHTvy2YKqnRMOyK7RgEBz2O5zY0U9FKI5dfGBgXEVaqr1uoo 6H+DMU8W "]]}, Annotation[#, "Charting`Private`Tag$2768988#4"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8ld8fAHCUIpGkpVQilaSlNOhDSDK+digjRBFZFUVGRtlFUqkQskU2 OTKTvbPv89xr071cUla/0+/+c1/v1z3PeT7nc9bnCpnd0brBxsLCEsrKwvLv e/h5o3jwdWtI9uCh6qT9hWg20+R9H2xgTFFiidayDBykd5yeqB2wF56ISR1a gCJKa0OFjj20FB82r374G+w1LC5fi3SA31wnssD2F4iWzVXPdjnCxeUL5wQT ZqH/iL988HZnoC2FCR7czISAdOE33E+cYXUp/7UHb2Yg4v22sn1X78Itx2ju NZ+n4fKGFOnS6HtwM40S2n2PASwe5wr1Bu7DPrkRgU25PyHvZ/1J+m5XMKGH x3pnT8JtY+Ns/+sPoPXb0BuZgXHY20iX2PPhIWTyrvOdPjYGArc+ZOx+5Q76 qW33bKjDEJLOd0BT9BG02pv3acsMg6JgfPyYlQc8YXmjxTNFg0fVr3m/6njC ob7DpU9yqGDwiKoePOcJylP7Jfc/I0HylHiwQaQXrJ2DB+meBGz46Vy3T8ob qq4HGUl4UWA84QvnTJc3zLZIdy0JDULM5v/8Arb7gMVVtT8tWb1gFMHR4njI B4YWrCMrfHrhYcPLSr0iH/hUtP+PjGAP6PlS2ISv+kL1sphf9NsfsH7OwaM4 2g8aiYgq084OGEkr+uIv4w9drjaabYHtUG6xakl7wB9c17bWKmq0gUt7hMvk 7qdQzthcWM/aAtpB/XkFZU/B9ELK64nuJrj5J4X3hlkAXLzCtqW2ogFon/Md BD8Egn3Rg7LEvlrQDO+xVhcNAcalWfUHPeUgriKcLFATAtI8XcxX8BU4Vt0e GbYKBf2ckLrdFghMCleykE4YuKmhy7tcCmGP6WXpz4VhsFp258o1vjzYfDBM Qj/yGZxWGhqruJwObL45aqXDzyCmrGbmmVwSMCg/botIPYebJ64m8V/9AHVR QqmMrudAOWgeYTAYDl4cn/c/3R4Be6JbLpwSCUFiSs+eZNtHwKcJtwTJhZco 59dzC7NPESAup5Iuqv0OtfreGeutiYCbbaYe63VjkMgq8VSJey/gpqjpgbe5 Sah6OV6ivTUSVP1MzIXFc9Ad6cehywdfQiUqpbmy56FtD68zRL1ewmiIWB3R no9u/RbMdj0SBZ7WL77aXylG08dsK0O3vIKXshKJ24sQWs+MPLk76BUcf6Tj +HahDOUeuxt5ifoKSlZvN3hY+RUZ22vPO5x9DfqPHrplBpSjzKkNhZWjr4Gx gTXjzfpKpDX6RNpaMRoG1qtqFYxVI50td5Xzpt7CXUqHVDn/dxTV/0A+d+Ud lNk90ozcVY/kdhrED+i+B7Pw6MNKRfVo3FCKnSP9PZxX99Os1m5AuyZdzdMP x4BXKOsOO89GdOfWqX0sfTHwPv+k9pJpM2rjm7mC3sSCaeA2cPdvQXwWmUkJ p+OgYpfzaxeXVmT5eJfBWYs4oFSvH6fkt6LiuGDOptA4kBg2cAz71YosCBvr 38NxIFCfaNjp0IZyjQ+Iq7z4AJHdZyZtTdvRQ/4MJeJBPKyZ7ZD76t+B9A1i MxnT8dDF3sszuqcT0Xt11sUJJMCDxaUbC1qdyM+Y44a2fAIomPpKvvHpRJ/N 7wjkRSSAjf+OmLDhTsRjJ+P7UCoRjkoaWnsndKEq727DNe4fQe+yh8/mjd2I tNtMV3rxEU6XCWR3HOxGx9M2rtnJkQKnv5DXHJJ7Ua1ElWnD0RSgX5wQe9Lc i0yzXIofGaSA5/CE4LX5XhScN2hPpKRAftdfBVDoQ90Cg+5bJlOgcb94apJn HxotS+9NVEsFZnyt5PrePvSuQznrWHgalNeyLrgv9yO2h8dSQzwzQPuV/q+c l4OI66/XNaVdmbAn3uDmbW4Kirp1xVj8YiZsTe6slBakIJF2cdONdpmg0LZx cl6cgs4nd5n3fsmE60vSoUdUKagwOTI3X+ITKH7c/TblKQVNaU+WqDR+gpqW /MssrAQSs96bxSmWBRXdQY6tcgTSTXpZ58SdDZsk1nV4kgSKNvJWtRTKBk2u 09kbGAQi+Wwb9E9mw9mVTfqhywS6436hScYoG2j59qHXt5HoqdZU69r0bODw 1A7QVSNR8Z+Cic2Sn8F0W4xPUTyJvixd6Hmj+hmShBwWo3JItE/z52hFYA6c j7vWY+pKRQIeSmetYnOgkX0n1yU/KuJNjwlcl58DzywTMoXCqWiBQ1tCk8yB sbtQl5ZGRc1l+U4Dp3OBf2Hx/r5BKrriWhoob5ILYdxeRWxzVPTgqNfK76Fc 6Kry/1ogR0ONG/j5JWTzwVLEnNi8QkOo3naTZ1o+sMeef31OcgjdbzwDUbOF oO+3svqU/jDikcgdquUogtsHD8WWXx9GkiIdN1p2FsE7vpeckjbDqEV1f7ex YhGs8K37KP1oGB2q43faF1kEYuaaG5s/DKPBGnpitlQxlC6f6Pg4NYyUvibw NDwogbja0AYTtxF07kv8M/2sEoj4+3dg5vkI2pqzcYCVFcF69WufW/xHUcFp rS26NggUxt3kYzNGkV7DO2N+0a9gOyW4P7J4DOWR8vVN0uXg7tLsxuc/jiyz YjZlpJTDPcsz1hV146ho/vcOLYVKmKk106TUTaBy67c7DCYrYf/cw8EpyUmk 97tWeZZZBTsN0yNHKyfRnKjMhnTbGtB7oegtFT6F+B00ihKKamDri97zsgVT 6NX/P7UQXv5xMuvdT8T2J5V3x77v0HBj8UAL8RMVkxKLYs/roPQ+8VHVnY5O /TXN086oB4przS7tX3QkOPRgGy2hAf67y750XoyB6n0kG6vFmuC0lMTWk84M lN58xNy/swlGDwR26jxjoN1hE3+SfzbDgd/B3WpjDOSiYuDNvakFjvcmqarN MtDE/OBAx9FWsCp7lZF2eRoJHtZseajSCol3CuS7NKdR/Hjxd56QNigRH8+O TJpGbHKUpqkXbVAjLtN7N2Ua8Qh+pNNo7XA/cqJ/58I0KlBt02SbbYfPkmXu KsvTKOhWrmWMSCf4bMzbZSszg4z4m3mSrTrhIsfVjT+UZ9Av2VTaTY8uiBwN jktxn0EaTnoPzzK74JHNSSWzsBnkfLwyZ0vFD/DlD+z9kzWDXv8/f92g31HS QDbNoMGMysAWoR4oCD8kQJAzqHlq9eTx/T3gciY8/xl1BpWJK6pGiPdApfIp ihxtBsWkVK2/ItUDZhwf2mKGZpBZYnVwn2oPlLFduGgwOoOG334LHbnfAxb7 C51ypmbQVFB9+HJDD7zzs8zl/z2DvN8I3bhh3AuKHfWxphxMtGjd/ubgg17I TrNt9uZiIp1TRs8kPHrh56zrAe71TJTGOux3AtcV3G3Ne15iG0fNO8iE9MLt vE8zydxM9LVK4JJmXC+ox94XrNvARP57rs+6fO+FKMpszOImJtrUOaX6TaAP DLlOTW7eyUSH5NauWBb3gTGh+OPEISb6lJK6/0dZH+Tp3g/4hC3Jr6GpXN0H SLi/RVyciaRHouIPtfRByKe4PSKHmUg9WEyFMdwHzSJvy7iPMJFjt1qUK18/ POS8savhOBO9r4/Llr/YD3mZ5bc2STFRoUPE8aBb/TD2w4e+dIaJzveevrZs 1w/mJ02db59lonKFfl875364HSf7rBf7+1bRbg2PfkivsQovOMdEfV/yPTa/ 6Aeab0axrQwTsazrrX9X1g/buWYzKmWZSClOyCpr6wAo6vbk7FPC8UfxiFbv HIDXQWt7vbD3hCzSeoQGoCCsL6kfe8G1w2y1OPazsnMRl5goXfOp8RXZARCp lpVdVsb5Yp3WXb45AGekA1tLVZlo0KRMQbloAGrI1SEsWkxUr5u+yhgNAF9Q zzdN7AKV1+WOlQNwSdg4PQ77uZSzbHTjANgx0p3ktZlIccMBaTo5ANsvis57 6jBRamnoiRdcg0C6849M6DFRylrD7CtXBkF1lSp57CoT3Rc02UtcGwQtPpVO L2wzjaN6fdcH4bocja0GW/0xa0CX5SBc/XRtgOsaE4mOfZhusB8ECRnhuAjs 9pzRsiKfQfh9Idg4zoiJjqo6mkSkDYLz7Zm8DBMmGn3gG620NAgRXpmKgeZM NK536GYsCwUUEztuVmObMjax7V5FAeOVEGlWCyZSER46KcBBgahzjLm72Huf +r/l5aMAl+pA1tUbTNSsU397eR8FPmwlDLZZMZH4pC5XlxoF7IV3VulZ4/zo qKIADQpoVZpAELb8lwtO57Up8KiK1/grtmHIkd4EfQp4MRaeiNkw0dOjnKnO 5hRo9siI/I097Fxymc+VAi/Z7rx/bIvXW3/2StVD/LzigtVn7GXF5GzXR7j/ LHoHic2/NVKAeEwBCakrcbJ2+H2Fd8YzQyhwtvX7yjx2zPLeALV4CjTGFrfp 2uN4LbefZ/1IAc8CkQUP7PzGDTM5yRR4FTxVnYzd+H7JYGcmBfLIHu0l7GW5 zoMThRQQq6iVfuvARCdCTZZXNVAgZkPB9xRHPB6/p7VPmnA+xXn0G7E3bWBw VC5Q4Fuq246fzkzU+iXAX3kZ5zdXUoDrLl4vt/etafpLgZEol/r92HzfDVf1 rCagSLdVxfSffauW6TwERNlszG/A5l18PbNDmIAM+Xrl1/dw/pNPOsTuw16T 5JeNHabfTBc9QIAnb83979gb8tinjh0mYPTQ0r0/2DwO9iNKUgQwBt3Hte8z 0foRxT4nFQL4vqZkLmDXv6AY/lEjoEJy+SSPCxMFKTzsfqRBQPMbRQchbK64 T51PdQnwUaWtUcJeZ7Sj5b0JAS5OQZkh2N+58v7bZ0bAzf6vA++xA4o0GlMs CKC1K1R8wubc5leXe4sASapxWgs2Rxujqs6JAGPEx8LrykTfvAIVNO8RkDZP 7dmF/eSoaEWnCwHkSQObw9hrQ66WEe4EiKcapitjr1GuLpr3J8CylZb3CLt6 3vSMewABbtmssoHYfomL+WzBBAQwt3q8xGZffSyX+zkBZjOGuzOxV6M3mcLR BHSamY31YPdIK1wafEcA/yX/xSHszKJJyutYAvQqduQzsA3zZPj4PhKglv1N jP0B3l+SwykNyTj+7EWSB3tNdoj80zQCjlxvU9iGnZU+6MySTUBSXAK7GLbf oSfcJTkEmD8vsjiOfS35aOL9fAI4J5Jsz2JzJHh1/SwhIEXjorsy9sBeMfsU REBb4AYfDezPMa0cluUEqAQNS17BNo4WPttfg+f7z3SEObakQH1r1HcCJm/I KtzC5oxyttFpIGD9y+a3dv/62yy4mreZgEuPMmOdsHPCq6LrWrHXjv/ngh2w 0e6kfwcB81uDk9ywTUO3NF74QYBfWEKqJ/YpbmS50kOArYqsgQ82V6DV38J+ AuwFrbP8sSkcvFF3KQQkdBzJCcDO8ys4eoyK28u8ux6MHbT6eu3kEF4/28oL Q7HNvDnNkkYJWBBJKnmGfZole8F8ggDpHUbW4djcjwzDd//E85ExVR6BTS6y ifcycH4CLKtfYBe4plZGMgkI0m93jsQOmdc20vpFQGahfOM/m99dmuP+Q4Dj 5a+t/3yaGR9Su0jAu1gD73/mcVDb77tCwG2N7f3/+qP9nEOyrCQEkOup/95X dPud/tIqEvgHZCP+xRM2fnE6fw0JSRVfGf/ivXGT/tSJk4QrPNG//42nfZaM O8pNwgE7zpwgbF4L2eJxHhJaPoSsC8QeJka1EzeSoFCL+J9gl5g8m7zOT4IY p9v3f/l83n/GV3Arfr6i6ZAXttVVUrB7OwmOmjWn3bH5rpz4T2M3CS6n23Sd sUfbe0e49uLfxVgs72B/0fLxrBEhQUKYba819k31jqzzYiT82p331hj7fL37 5QVxEnifexrpY2+6LErNPULCuhGNWk3sUsX7/IdPkvCt50SCPHZExe70USkS KkqMN0tj35L7phh/FueDo+yYJDa/zPb7O2RJyBDVuyOMbSNZ3M2pgvu7I/R3 Ge+XsuaOtAI1Ep7HvWWbxd5sy/Cw0iDhXmxO7hg2StgnWqVLQvFmilg79qat YY6epiTY6VtpJWDf/JyieMScBK6ns21R2F/+q9o2cIME66P32IOwrZ4slJ6z weMzeuzigF38x4Jr/i4JIo8X35/G5o30GEhwIUG9xyzuIPaN46+zdB6SUCS0 VVcAe4NN05VsTxIMLZ7XLeDzyLzvTLxtIAkzw+wr+f/OO8QjQ4shwWqdubcw tunVg7zhH0jYppcTsgE7d16eKpeI54+NRXURn58mR12fvk8l4dKprO4W7M+x 1A7DPBLyDiVceIh91afArqWOhKPmm3UQPo8/7WmT82wk4bA0+91EbPYvU/xH WnB+dKOUgrEz5/YWB3Xi/NFaWA2xV1kFr71EkBCEcuro+D5IVTaLKf1FwtZr MqXrsSXFhc7DHxJ67LhZp/F9U8pD6UWLJIiWAEsHdnOb0davLFRYMzZxIhp7 1sggpGIdFYI5Lznsxz7vqOH2bRcVlMuOqhxzwu1fn9dvvUgFCd/9OXz4vjNw X57TUqaCpCTj+U98H5ImJeFtKlQw3L3zyHfsWZGzTe0aVHD7XfLeE3t75smL XYZU8D6ybDZ+B+/3CnHJPjvc/oGcSxa+j5U75WKt7lKh5O8hPnnsuQkB3uFI KrhYPN3Ecxuvv7cjNdGvqGAdXjPej+uBE//leGhHU2E4vMk5HdshW41eFksF nfXmsSrYUy6ejW/SqNDGHWvkg+uLIfbhIM1yKrA25VqP3GSijt1ZnF+mcDy1 etuccf3i3OL+1YlBBQ6fKcOz2JseX3YVY1Lh8Lt7mizYmsPU0Ze/qaDy97Fh IK5/GtK2fHNcRQMuNv/+t7heqjrj5ndgOw08Nq5k5FzH60FbaVWEAg12vrr9 JRnXX09UCnx3KtFAoLuQ0wb7mvxBjgRlGogs5vKLY7Od4OLOU6dBWGGnZTqu 39T5mrb80KeBuo7bUhqu90ab9cR22tIgpdSU+d6AiQTULTXjX9BATVYJdHWZ yOOS7/ucYRosiqRVrqjg+sL45rWjYzS4wGj1yMIWuauyPW0Cx5NSv2yO/T12 Y/gHBg0uZ2hc+HYZ79/Ft37PF2gQ0iP7MxjXv0npebb2PEOQYzLWyY3rZQbi 09u+eQiml57HHLmI1wPf6DnxU0NwlinET5FjIqH+yz8++A6BW/kB96ZTTHRW yidi+/FhYI1JEn61A493V9Mf1rZhYNnc2aOzMoNYuj7Yy6wbgVIz6/d/ZmbQ 3Pdg0t5rBI6/Oq9+v2cGRa02dtYSGYV9vinpB3Nn0KaB3Di2ylH4JPWKnz94 BrG7e+mccRgDu5BflUVGM8hFzoG9OXYMRoYCtpv8h/tPNs4k+cbBNDvx4tzh GeT4OjOYr3wcOF+ltOr9mkZfDj3h2Gg3AfzzKyfI4mm08bKjuDfPJPRv67Zn ek2jvsPNba4lk3B/zvujM0yjT+9AhGY8BSkCtDszywxklHlqo+DKFJgbwYEn RQzk6Rvr1ZfyE9418ka22+L/z6OCb3hU6fBA53Xz1F4GevLW13RAnQ6U3NpN UUIMZKE1tS9Dkw73znBvvbCHgXaWlHxSu0KHnyGtRi8EGSgg9Gp1kBkdhp3M J09vY6Cbp15Nr3OlQ+MhVh5nbgba68N/aW0iHXj4xuqc6XS0ctqNuyuJDq7q dP3CSTrqnqK2JqbSwcztlOXyGB2FXflsdDGLDg6/nrL60Ojor5iWk28JHaq+ 6JwL7KajvpbQd6va6BDlNF7sVUFHBX7z5m0dOJ6959VKy+go4pzJwQ8/6OAW 0GO88IWOVBIkci4M0CGDk87mUEBHRS4NtV5jdNBrDVPXT6ejyMMnQzUn6ZBo JkmGpdCRAxmtI0Snwy4b4V/fPtLRAdXbg2WzdGhfN/ROKo6OVrO2x4fN0yH+ cMEJu/d0RMk9Z226QIeywa5L8dF0VGL94cjRZTweE4WB7ld09HI319zfv3TI Hllm8ryko/8Bnp57MA== "]]}, Annotation[#, "Charting`Private`Tag$2768988#5"]& ], TagBox[ {RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c81d8bAHCRMr4hkYiMqIyEjAYeW1YRIWVkVKhICw0aZBSSpJLssjKy R8eukJ2Rde/nXiPrcq9QUb/jd/+5r/fr3s855/Oc55zzHHFnr+NuzExMTLHr mJjWvvcazxwWDrsK48TtpTfT/yDmzbZqqVPXoOJ5F+sp8b9gzJ2p/jH+OujM 7xco2LQCTAGHy6yHb8D5ANYHQrq/oXi2RYUm6gfJ6xuC27OW4YKDQ8HDM/6w L+eSm4fGEki00uTFUm6CgtTOJfb5n9CncTerlHoLjp41EHtZswCC7invRV/c hgcDr4RdpRYgIod3j8WuO7A56G+SeBYD9EVSU3+cC4Dede4dnpl0uNP4kqfG KhDGudynuyvn4eQdytHHPwOBzyvZYA9pDpRV5R6fjL0Lcj5300J454B79mqz lNo9qI/NWqhKnYXJtCp2eu890MkTKH2pPgOJ/MeCwwQfAHP1nbOVWZNgH8PW 4SP7APaf74zTCZuEm1+f11uXPwDH+PlXkgE/wDqIxLzzVBCIqWdXTDtPwH8/ LwdUxAdDJK1QQdZ6DMazy6seajwEM1/kesRlFGpdWVYshx/Czn8Ehe0WFXy7 Y3ynRUOh09LG/18LAZaPhopLq0OBys9ems9CwPlfmTxuzmHAcSPyv7/aZKB+ KLkskhIOhbLcs+sKRsDi6XePo7siwEyOyX068zvImezMEPoUAQKgU7Yc1A9s LBfGx85FwgeeY6lKnn3gWPY3H1lFgWvhGbkxix4QczJW/1AWBTerjawqRb8B v3SUvG3sEwgcu1Hz5F4nMAcVmn0cewKKzD1fFhI7YI7Ud0FSLRqmjW4sjzW0 Q3OceNZcbzT0JLNs9NBrhbtsH3aHCsYAEeu5z/PgZ5AxfBJS4B0DR+f9Lmrk N0LhYrSrc14MtOx/IuT0sgE6g7x+DHyKgXQRb/vY/Q0gySKXJX/9GUh8jFSm n6iFxtVU+e7OWPDl5xFY4SgHL/X7kavSz8HWwNvjR1gJbLt5Zm7X3ecQkj37 8KlgEbgvixT47YuDdu1lgTqnPJhXvFgfufUF7ESFFzk2psF/jFgV0UcvwCnE 7fte0QQoUrwWe4TyAqrV1Oxdy5+Bg7fl0uVDL6H6Oneh3bpwyJ3hLqufeAmB xIdNx6pc0PGJEHUP/XgQS6wJvWCRiKy2XjMqnnkNMS/sjih55KG4IX/dor8J ILlByXxjeRHSFj6ZOnziDcS8ln7/xLQETdqpsbLlvAHhqpUbn/pK0Y5pP5ec vYmgfPk/g/nhCuTlrirFNJgI8mUzNre7qlEXL90GvUoC9228hD2qQ7yuue/S DiRDj1bliuXORnT2/o6Th1yTQbVCRNGgrhFVJD9mb4tMhmClRrrcmU/Ilezp sTyWDCuZtpyczz+jIoc9cibPUmAPjcXAeroJ3eR7b0j2T4XQ2fmMyS9fke3J pNy5+VTQnBWWtTFoQ7QBK45koTQ43+5rwlLbhoId2NwsddNgh6PPh4M72tEH Fy+h4pg0ONHkJjgY2464LmkE3VRLh8eXuV8dvtuBGu712224/RZmHFe7C9S7 EHGJn2b47C34PNhhH2bXhZSyN28QZssE0yQ3yxL7HvRFvsHpq0ImNEf/t9v/ UQ9yyvetuHMyE0Tplg1EeQ96XDziTc7MhN22g4OZW3tRv9DI7a3TmbDTQG7L S4deNFGdM5BulgXejeHSh5t6UcI3o3zFp9lAWmgZ8JDoR8w3FbMiAt+D7fUU Do31A4jz393ThjtyYXLgqZh+wgCKc7dxkDPIhZZOfxWlugEk2S3ntPlSLjDn PEgdHx9Amhm9LgNVucBTsUHrvcIgKsuILSqRz4OYn37hlWgQzVhOV5q05sGh l3ESbt1DSMZDIp9dJh8sB71z092H0Yl3z5uvbCqAewxvm+SBERRvf8/0rHgB zL2VvlD0ewQRvBe/2qoUgMrbpMb2/0jI67ZOm4Z9AVTuXdC5L0tCocdnOjfm FEBQ0pvfG86TUMWv0il+5Q+ge/9PSHwzCVWt6Hx/ZfoBWpzvJuUPkZCUxexE XXghWL9T8SusJCOhAMND55IKYX/PCX6DZjLiyUkM5ygphFf5ehWN/WT0m81S 3oIohNq99Q3PFsmovbrkyvCBIvi8vVTEax+BbPw+hus64nUWuVD6z5BA/gp3 /y6PFsErDhnbfQkEauXm45PXKgHVxu7Edm8KQi0XtwRml8D25mG5wWwKutF6 EOIWysDG4sS61Dkq4pIvGv3CVg5n5W7Eyf2hImXJb24dwuVQ6h14JZZ1FHWY 7u530C+HP061WU+ERpFsM98VqdhySJdSGl/QHUUjn2jpBWoVeP8M6pd+NooM a9K4vvpXQqz667p0xTF0uCr1iW1+JbB2sJTqG48hgcLNw+vWIdAcZtW1OTGO Tj/6Y0XdiuAsm//GeodxlOw62twoh2DxEz1F+vw4kuMvKwu3RVBqFfh4xH8c lR04vvWEJwLHODv3b/fGkc51p2f8eQi0iJaDS2/GkWq8TXrMvmqINRN2GZ4Y R2cc0u3fDVfD9cUujuZrE8j2a4ID364aeOZWcftt1gQqJnRb2tRrQT2tNuD7 7R/obH7ilveZtRA0jJicPv1A5UvL24/r1QN3j7pPQP8kqvV4vf3kdD2EmbyX njOaQtbLX4wWGA3QUfH+219iCv3cpcGdc/ETtDg+rTn2cRrxXTYvTyv/BPIL Uwn+o9Poxf8/X2C0qPCJUv8MYv6VxbNdqgkEU54k7hObRRWE/B+Z6GawvPJ2 9VfdLFL951Rs+b4F3h+59fuGLg2JjPpvo6Z9haeuMged02mo5YFya6NMG+wb /dJBFptDOe37XB72tIHilaO7z8McEo2a+pUx2w4uX/87Hv9qDvmanLy3aUsH bJ1T89nxdg5NLY0Mf1PoBKpxtVDgunkkstei46ZJJ3hYu/Suss2j1MmKJq6I LvBfbO3PcplHzNqktplnXcARonE90W0ecYm8pVGp3XBbdsinr3QelZp2WTAv dIOJ3aEI2cp59Mi96GyiZA8cXYr1lvs3j+z52rkyzvWApNKb+N3/0dGiVhb1 fEAvGNjr81jp0JH5Feubhxi9EM92iWXqBB1dVaov3FrXB+ffFpze4kdHL/8f v37IudJC8o6jo5H39eEd4t/BX2Sq7lQ2HT14Je7m5jAAJwt/rKR30dEfj+5X 0v4DENJRqyvYS0dWqvZP5AMGQDjxtEAWdva6seD9DwYg4GhEiHofHTnELV3W iBiAMo/Neg79dFTTIHTEInkA6Gyr4q8H6Oih2JkF36YBWHT2fcRGoqMtPTOm n4UG4VibYkHsBB3Jam/8e7ZiEAxkTdtilukoLzNrd1/1IFw6+2x22y86UuYz tzBqHAS/bcaJ8djq43Gpsh2D8IRiW5H8m46OPpYxmRsbBGW9j50ZK3Tk028W 58c7BO6NXPEpTAz0piW5QNdgCDykWvfLszJQ2eUYpUfuQzBmdVLbgI2BNAcO nF69NAQii5uHKrFr9YaCLl0dgtVEFa797AzUJLCr3zxgCIprhBR3cDDQYFVJ AP+zIfhuStykcTIQE8dAS0L1EAQpeB+8w81Ahsni5/IFhuGjsgfddCsDKcdx 7WoUHoZDPkOeudhiEX+o38WH4bdgf9hmAQb67ffNeb3cMLifySvrxs6xCHWw 0RqGwY0tg9aCDLRl3fyJ1fP4+b+sR4yFGWjEsVrPqHwYPLQMZGfFGajlRA6L AxqGxWTPG/oSDFRq8rLWp34YnALBMx47Wu2qVnzrMHhbqhgb7WQgfe496jRi GIoPyYwnSDJQ1sfI/c84R0AsPT3r4G4GytxoV2BjMwLMv/f69Moy0A0RRwny 6RG4w9rYvleOgZzNFawHz4zA1UMmH3yxj95fF9Z7FtuNpFOHvetHyvxX7xEw H7nmbrOXgboLJ6rLH4xAdunkt5vyDKRg6uMYkz0C/VPtB4oUGGjCPyjecGUE frOPhE8qM9Cktez5JCYSeLu+lJNVYSCnuS3MoiwksDPcf8sT22TnqIoQGwnu ZKvsmcKWCH34moeXBB41LEVjqgzUbtVyYVWKBN3q4zmtBxhIbvoEZ68ZCRIG 4285q+P4WJmiMHMS0A3J+a+xdat0rmhakqD+V1ZoH7ZdxL6BNFsSZA4IiJtp MFCoAnvWVRcSoHvi84qaDDR2tdKY1w+P53GS5CQwkM9Qwd+GmyQIGdkdJqrF QKv6GQV+d0jQGQJPrbD5BGKFyPdJwBTtGlWFrVvmNZkbQYJ36ccOhGszUOKq RJhZKglap8im/Lp4vGcFNde9JUFTuBhDD7uklZtemEGCvW0MjavYrW9WTgrn ksCdI66mA3tVu0d6qowE2w7G3AvRY6D9kY6rLF9JEKAb4FCpj98nOPRLSBsJ 3p+T+UXF3sI9x1b/G/f/tVHK7ggDdVaFPTRaJcEeEx3eW9jRF6Q2tP3D8TJo z3uNzdtkx/J9PRlWUqzWk9Yc1LBK4yJDupHVhjNGDMTz5yV9+04y6GV8DrQy xvHPULmcJEUG6UnhmMvYUbbttF17yKD5V88uApu7mHVGcS8ZOrW0/jVic132 HjdUI8N33305yiYM9N+4/uAVEzIseuqkrDPF+f2MZPfLjAzWWg4/BLEf6d3s v2NOBiUJDooiNmdyXk/oCTKcvqQ174TNYb+9440jGfoKPfwrsJs4i49JOZNB MtXYoQM7rNy8NdOVDKbkrYtj2OzbgpuL3MkQw5asvdmMgdi65hqar5BBxarW yBn7891wPYvrZLxf6rVeww5R2FXX40uGBY1NG0OxN0acqibfxuPNSX72HnuD UWP50kMyJJ/h37OIvR69yt0ZT4Z6U4rsjaMM9F1d78hIAhlU6Y7KD7Fzy6dJ L5PIEL2tihqLbVeswcv7lgy1VHONIuz8nJGrTAVk+PnPtW0GO1g2ZFNlIRl8 HS5s+4N9OkMh/UYJGS5E17GzHcPjT7vbO1tJBo6cuFExbIf4nYeGPpFBPM/h /lFsZaGWzrgmMvD9cOM5ic0ed9XT6iuOZ7mMgQt24dOG+OZOMtyJ2pl9HTts 8yWVh9/IsKXSZzAA2ylya6tOHxnetRQVhWBzhp/7VzaE5zfdzOUFNomNJ+4a iQwFrlVqSdjFwaUKihQybGVYF73Ddr7H7vxuggyfd2tkF2MfYCr47TJFBqan qVJV2Jvu2D0VnSUDm63nkTrsUr+s+lgGGYTUTMNasSOWLO2PL5KBPhqY0YXt cm3l56ZfZDi4zdinb609RmrElz9kcGUvog4eW8svs91Bf8mwPNvKRMamzv5E WusICF5ObaRil19IsF3B99aCY3qqE9hRkwbzJRsIUN5WfmwK2+08LfQKOwFU ry1bZrG7F4hkhU0ETPc4689j87hqVUxyEfBuV9pzOvYYecIyfTOB18uS7QJ2 peOT6TN8BLDMnKn/iR09dDBIRIAATeb5/kXsc6cIkX5BAmyH818sYav3hxXH CBMgez2fZRmb12b/MXNRAhpLVwTWPNE9MM4pQYBnZGLP2v+rjj8I/CRJQPRQ Bqw5ul1O8P5uAhiBUpZr7Z8/+i1fU4aA+xZim9f612y5bfxbjoDr4m/9GNhb jHdRivYRcKSq8dHa+0x8ar15WYmA8qlwYxr2R/0bfHtVCOi7yPJhGjumTjRn Qo2Af38PNv7Adtf+rJ96iIB+K/UHY2vtI+9hRw0CXEUFZghsPg3BG9u1CFhm 62UawZ4sr+Hu1SEAikPQd+zqAx7vovUJMG08IN2D7alc0c9uQsDHS42rzWu/ t3/LLjUjIMom9n4jNv/FuYBz5gR0SL8rqcZGaVK7Gk4QcIBcLVO41p+O1q8r tgRUuo6456yNb9iuReIUAd5cXjbpa+8rEOUT6ITj0cej+XwtPh8y9fe5ECB0 6ZBa5Fo8jzVsG3Yj4DTf+pHgtfkJ+f3xsCcBkvrph65hV/xy5Vy6RoD0H8+d a+uJJzZgOM0Xz+fqQLTuWr4ovcy3uon7nzuSfwCb27PNpiCQgCeVhn/E1/J1 8GDqxXCcL7pCDXN4/Zb6Wt0QjiDA0fxDDgV7E7+XcXMUAUszqfo92CVmqXN7 YgnQMkP3y7E5EZcGNZGA5uRNhwKwnU5J8zxNIaDJ8V2CF3bRki5FO52ASZ7F AkdsRwW/0DdZBDhI9k5qYn9IonyzK8bx7JyI+7W232n+fcdeRoAcv9WtcWz7 79tulVYQQNxo5v62tr9tOSqxtQbnRx+HYS72qQellzqa8fzGMC07YueJdWkH thJADllnb4LNWjXDt6+DgE3Pz/qoYuf+lKh41EOAcUrIe05slnOPNx4hE+Ay cfpiAd5/s4ycEz8u4uc1yrnm8f6vLCeuCb8I6In5crAf+yMXaQD9IcDZQ06s Bru9y16ghokC7RzcolHYC/YnI+o4KFBbcGBMBlvTx/zW5x0UkJmNTbLE58sn K24hI3EK0C3IQWrY5mqtJV92UsDh8cZd27GdV0wYTXsoUCDD/pKMz7OHwYYe X5UoUJrYbOGJ3f5S07bTgALSz59v9MHn38nbqz+PG+HntUJzLLAJx8qnXSYU CKwa4FbEXpA81NZtTgHVf3XsNEMGEsxVMei1owDpZnDXOWznOjnlwUsUiI+h NZgaMJBRj3bSuWsUcCw3Xj+Bz+efU0I8Y7EU4P4e7kDF53vM6/FP8S8ocCTl uFwp9v5jhQGW8RRYWa7OCse+XGBGq07C7fFVIkXsGd/A1lfZFHiXoa3hr8NA o6xjjyxqKcBpKv18Bdcf30Tz2atmKCD2IpjjE65vrnbcrrkyRwGrBBWxJ9hb 7hv7yTAo4BNaO2GHbTFGmXi+TAHtL6+iZ3B99DV762cfFiqw8lsac2M3HLwV vEeQClGzTMf1DuH8szRkidGjAl/RJPM1XI+FmJQGCRtSoRMV1BzEPq0rzZZm RAWWJV3Nv7h+Y97Puan4KBWmmEe8g7GP8rZt7bOlwt242sqnuB6caLeWEb5I BZmIiJ9JSgwkdPSsReozKjwS2S7yGNeTAUeC3hSOUcEyl/bljRSuZxzOn1b4 QQXzNMg7gS15zUQwe4oKLSJxtpzYTUmbn6bMUWGj+03aNVz/8v15HRz9mwqu aaWqR3B9/C6n+KI31yj01HgpkMUYaA7xWgvyj8L4Q4cjnNjtvBOH5VRH4ZaX 6x/qdgYSHzLuSwkahc3NLuoqm/F5WXs490TIKFxdn6TSzcNA9LdywRvDR4GI Tx/3wa714VL2jBqFqbzd13PxfcGVrTNS6dUo6O1q0pDiwv3vP2lYkzcKMmdb brPg+4V82Lni4YFRMLnGQQ9bz0CH1B7ECCqNQVXzvOynRTo6vaPt17quMTC/ 02Wn9J2OmHpTvDU4xqHOaXsZdxsd/Wx6THjfHQehndqRG0voKG69w9XjkhMg f/AtyToa38eGi5KZ6yegVdbvRqcHHbHevmt18PIPSObWid2kTke+2pdZ25Ow 36yX7d+L289wyCV4JyH9VmluE76P+rzMfcxbOwkyEoyM/G/zqEo2hG3zpSko 9Jh1KH01jzYb+8jd45qGEtlfKqrO82hwb3uXX+U0TIvtjdwlNo/yEkCS6jAD yhIeqhtG5pB9rupmkb8zoHnnXNoivn8HBiXdHcycBT5Xq6k3x/B9fULkFZcp DX7z3GniYJ1DIa+DnIaP0sD83muvYpY55Hp8Ruq9BQ2kja51n2GeQ8KVlXlm NjTQZ0ss9/pHQ2GRpxofOdOgWuJeb80CDZ1XfTHP4UeDgtUNy2YjNCTxgO/I xnQaFHlHfmctpKG/B25t6n1Hgzizej6zfBrqn6F0pmfRwKYwuPXpexqKsvlg b5BPA9Op4mrRDBr6J3P8SlAlDaKovW8UE2hosCMygaWLBtc3ZBhphNBQafCS S9c3Gkj8Ybl9K4iGYg47Sqf00aBFe3FfxT0aMkmTL9QZpkFjUzKf2m0aKvf9 +uXuDxp81Jfu3+NDQ7F7VSItpnF7dqbsrl40dJmItxKn0YDrFkdZwgUa2mN6 YaR6gQaJISef856jofXrulOjlmigrDHVYOJKQ6Siwx5Ov2kw9kTw6oMzNFTp kbJPYZUGrRRqUqUDDT0X5fz57x8NiEdmxxZO0dD/AJr5g44= "]]}, Annotation[#, "Charting`Private`Tag$2768988#6"]& ], TagBox[ {RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8VF8bAHBSIVmyVJREKEsIJesjKolEKCprkrRZ+0VRyb5EhSSVhOzr 2JeDaLFvoTBm7oyl0DBIVHqPd/6Zz/dz7z3Lc849z3PFHW+curiGhYUllJWF ZfV/K4nrXW6aH/z2b09KbP4HD3P595hJ+wP3ELgdH12BI6Kpqd8u3QXTn7NW fup/wf99Il+9xT0If8b8WPzpN1j700yiFu6B35YKoxG/ZVA9IB9lHX8fYkT5 nzacWALeH14tUmoBEMqUsytQ/QXf02o4mf0BkPRk+Iqb4iIkC50MDhcOhKI7 3dd3nVkAm1iOLg+5QLBlb/+jBQtwu+1p4+nKQCDRx5xC7s3D6SDKml3ngmDs YPUdx9I52LjgfrcqKRg2Jn5W/avHhPGcypoQ7RCIIt3UHXg6Cw1ObH/MySFg LSISYLEwA7d6Y29NiYXBx3JbHbZoBphHDpeW14UBRX3dR76bP8BlKYvvomM4 CB6+pmPqMg304jJ30TcR8EJbL0fMcxLMnnx1NZF+CAnqtOGK5XGQN9qVKfLh IewZO6/lvW8cONiujo9digaV/dK7gm+MgV3FSiGyiAH+4ti3S//oYCy0q0sq LQa2OprefWZGhx32x7WKK2JgerhQMECaDhruBjMRCzEQk5xUy55JAyGZGAWr +EcgKfGjQdCFgDVBpBO1Y49g7GfPDskOKsxQBq5Kqj2G1+Y3BAkNKrQkiGfP 9D8GpXYr8BejwH2O4t1hwrEg3PxAQk5xCGQNHoUWucXCi2S+4Lg9g0D6+djJ sSAW2kNPH5C7/hW6g258G/wQC/ENJmzeMl9Bkk0+W+FmHEQPDPvu0x2A939T FXq746GTvFtHpKIXbmg9iP4r8xTasuNO+Y72wNbbDjPS958C11ZxR84tPXD5 l2iRj2ICUKjqYkOhXTC771pj9OZnYKUefX+degdsnIvfLxb5DPhUtqYKHG6D kn3e8cdozyDGYXHLP3oL2LqZL7prJALppDXFLaoZ8qd5KxonEuH0Q+WAjrkP cGoiVMv1SBIovX9OjuB9BxabvQ1Lp18A4cLxad/dKkgY9tUvWXkJoTHyo0qZ JDi03TqVbPkKYu72b1VLL4LvZ9XWceS+gu2LwcRSdgHsmPK5kLs3GTiU+bxO v86EG5cPSLEMJYNpPYuODCUOeviZZ9Dz10BudH8W7+mP+J3yM9IOpkCMfpn4 +tpXyPnBDmsNpxTgc9Fbx7nmDapKieLsiE4BjjYH1QnhdOREveL6awzf/0oE TGVyUIntHnmjuDewvWHbJ47xYnRbMM+A6psK0qwV5bxrqpCV9ev8mdlUcBIT XXQorEWMQYsNKSJpYDHJEvyGQCjYluOiuX4aNA+UVhwLrUPFF26IlMamQQZv QNi5wnrEc1076LZaOijdHq9cnHmHmgK+nF3v9xZ+5l/LcpP/iIjrQgyDuLcg CfJ/83w+ovProkrK0t6Cb7NYwvq8j4gZost3uf0tVL+8NnBB4RPaGfW2qUUs A47t1gwJl2tGd556Kz1qyACt96bu27e2IuWcTeu3c2TB+ZUuhbDaDvRJocm+ TSkLkjxuZ3lv6UT2hbeq/K2zIOrwvQbFk50oqnTEjZqVBR/U9MOO1nSiLyIj fpunsmAjqULTTqALTdTlDqafyIY247Eupdgu9PKzYeG+Jzkg/d7hyBWFHrTm 9r7sh/fyYBvne60DLp8R17/75w125AN/Epqw2dGHEi6fsZU/mg8UChd3m2Ef kuyVt990PR+84/v15r36kE5m/4XBmny4/kQm+HpzH6rIjC8pUygA0WHln7Ie /WjafKraqL0ADvN0LvqWDCBZV4lCTtlCqP7vHbXL8QuyzHja4sldBHqPFMLu 8Q2iJJsAY2fxItAq8yi9oTqICP5rbVb7i8Ayec/NvVaD6IafXoe2TRG4tvY0 bX41iMJOTXez5xbBc0MhSp7sEKpaKp8UUi0G9/UmOz7wDqOaP3pfnxsXQx+n wmV79WEkZfZj4l0ECdjVc/U+qY0gkbsGGpdek8Dw6rptbNYjiC83OWJDGQns AxpT+H1H0DKHuYIZQQKZSQdXUtUI6qwr8yQfLAGTwIOCITso6IxPbYS+XQnI /l271kWDgnyV7q/8Gi0BBfHGNQeTKKidV1BQQbcMTF4EM2XDqQi1XhO4l1MG V06rR3i0UdF/7eqQMF8B1pw8MtoHaYhHoWT0E0cliCWQ25b1aUhV8vPFru2V QIkYsY87SUNdxru/2B6phC0C0jvnnWlIrkXQUyq+EtQ1UqXXxtHQyAdGepFa FfSSbm45xKAhg/o0njbfagicPFKQnERHmjWpj6wKq+FFvyZrQxkdbSFtIrOy ItDSrnHkIo+i85G/LeibEcSdTixymhhFKU6jLe/lETjtjokrYY4ieaGKiggr BPyP+w102MdQxcFTmy2v4OtyCWZLvGNI76Z9nFABAuVdidVTimPoQNKZ9FjF Olj6Ynzn490x5GCbbpNBroNp1sILzcLjyKrtpa2gdD24v9mb72wxjkoJ/dYO rQZY69mbLaE+gZwLkwXyshqgO2N36pPQCVS5+GvbqcONMDi6zrup4BtqcH2x zXqqEeQjhQf1Zb+j078+Gc7PNcGh7H8bPdq/owVpbd7cax9AkMVjX3HFJBJ0 N61Mq/wAxccKRG/TJtGz//8+wRqFEv2b41NozVI23zapZqiNrWEqqkyjKkLh t+zjFqgx03u8mzqNDvyzLzXPa4WblqFej1x+INFR3630tDZQZP9iYtz1A7UG qra/l+2AA0L/hDu9GSi3U/FCSF8HROXt5zcqZSCxmMmlzB+dYLsfDoRqzaBb RtYB3AJdUPaq/1zWsRk0uThC/qzUDaQNy/Xzb2eQ6F6zrttG3bCcF2g6kD+D Ur9XNfM87AHdUN6B07yzaM0hSsd0XA9EXpwqv7hpFvGIvmXQ6b3gXKwU/ttl FpUb95itme+FQfrvk7evzqLIyyXOyZJ98FTez46leBbZCHbyZF7qg3ibmW05 dbPop2423eVuP6zERbtULM0iU8/TtzXm+uFOmUyFAw8TeSk3kja/G4D7GQ55 XipMlPj/+H2BJ/fN9RMtmGgkrzGiS/wrVLkmNqRfZqLA5+IXL9oOwk21U9fN njDRb9fe5zK+gxDC6/TnVzwTWRyweaRwdxDIw1m/njxlohzWsWCVwEG4UaoZ rZDARLYJi+7aDwehOysxwvEZE9U3iRwzSxmEXir9XdNzJgrZ6TB/q3kQFt5p GvgkM5FA37TxR5EhcDH+rRGXyURyh9hXnKuGgKqtVpdWyUQFWdm7B+qGQEDf 8adyFROpCpqaGb4fgt6W6CqErTWekCrXNQR2387P9VczkUmUrNHM2BBo5aVt Y0NM5PHlRIIP/zCINs9fPPyOiV61phTpHx2G5PSaOImPTFThHqsceXkY/Iuq 4j1bmMggRfxS4RYyaEgEj4Z9xf0l8Ei/306G44mft89j73z4m/5VnAwjYoKL NoNMtOzz2XGtPBmcJbJilYaYKNcszPaMLhkc047f7BrG82OdtfzrQgZ/70Ya KxXH267usGElGXYp/ZwQHWeiVstcNltEhoMiKil3sMuNEhs8GskgqZvDMoj9 WM1LN6mdDO1xibnxE0x0hHePFoMgQznd6hPndybKro1WieMaAblNrVtGppgo i/1s0ZkzI/Cj5qLZxCwT/SdqJ0E9PwK6SpbhR5lM5GiqdHrIYQSc/XhdE7BN HrCG9zuPQMadlPlv2NLf3sy2uY2AwuijDZFzTNRLmqirDByBJW5TzdZ5JlIy 9rCLzcHXnf7VaC0y0YRvUJLBnxGQOmZHIv9mou+n5Vxes1CgVcyCW/oPE9nP CKwRY6PA0Rc8AtewjXaN7hfhoECtOZ/UMrZEWMgLPn4K7Cofd+JbYaJOi9ar f6UooBw8YL+XZQ7JT1ly9Z+ggKTMz3yZtXOo3MIYhZtSwE736cQVbP0aPU8d cwqoq7nW52Kffag4mGZFgWZi2lxp3RwKU+LM9rpAgfM7L6worZ9DY17Vx/l9 KLBGMfnWTo45lPxXIvxEKgWCD9/2K+fC/TkL67C+pQBHVCr5B3ZZOy+TlEkB j3NKhOTGOdT+6o/19nwKFNwo7ozG/nuoT2ayggKdi7onHLjnkEq03V+2NgqU /iznbOTB4wkO+xTaQQH/fXI9TGwB3hmOxmUKDFyRCe7cNIe6a8JDDP9SYDtv k+8v7MdXpdZ3/KOAhFya2E7+OcTffJbt61oq3Otw9r2+6qCmvwweKtCfnvVm F5hDfL8Tmdt2UeEP67FIWcE51Jm53/21FBXe56hFnMCOsepkSO+hQqOBuqYb Nm/puul9e6lgP5GaR8LmcXcbN1CjguNnf7q60BzaOH5kyNOICt9vqDzdv3kO tcZRzi6doEJRu2SuOXbk4dtf/E2poMo14+WOzZVS0BdmSYWAc0dEcrA32Gzr emVHBT2qXo3oljnE0TPT1OJJhUcOqjeY2B/vRxw2u0mF6+N+GVxb51CokvS7 vltUoA5fiJXEZn94ro7qR4WDG/YHWmKvN3xfuRhChUSk0VSMvRY9z9+VRIWC 9/v7HYTn0Fetw8dGXlIhJeMw8z/s/MopSuJrKiy7GRVHYZ8t1ebnf0sFty13 dpdjF+aOeLEUUcF0iv0rh8gcCpYL5a4m4fg4eklvxz6fqZT+XxkVLnSbCCti c6Td7/9RTYUpyVCmObZt0i6N4Q9U0OhJ9XqGrSrS2p3QTIVif+GfmdicCV5X LNqokP7AbUclNulJU1JLNxXajv+78AWbK+LSv4phKmxQUm4U2DaHKBx8Cd4U 7IPG/uLYpcHlSvtoVGCaVI0oYDsGcDpmTFBhV0hXwjHscp/sxvg5KnxtcB39 D/vhornNqZ/4ef7KwQDsC95/FriXqCAZ0OETtW11fU/sDlrB7gnMfY1N/7GA dFkJWJ+tq5+NXXn1pdUfNgKaHy3fI2FfdGGEeXIS8FIleb4Ju3eeSFHiJsCi nJOvC5vPSbfqOw8Beh/pHH3Y1XaPphwECehcOlBLx348rB4kuoWA+fRLcZPY l84Rol+ECbDiXifExOY/o3LSVIwAA1o19wr2RO/gOJcEAZRCZjDb9jlUcyrw 3gdJAoYWWzI4sB93ygs/2E2ArOVpT25sF5PPhTqyBERdeDW2CVun1e/4sjwB 4aWkNZuxBY5L00oUCfAffPNBGHviQ/ttd2UCEq1994ti1x75T3DvfgLGCo8Y 78SOfSeWO6FGwDE7gY27sC8f+ngkVYOAgL4ZL6nV9pEb2U6bAI3gyeDd2ILa wv9t0yVguY9PTwb7e2U9b78eASpy19NlsesOumY8PkLA8RE+khx2fCn/IZNj BEQarr8ij31FteoLpxFur/Jcy6rrOj/nlJ8g4LlT2edVC12buXvJlADX6rzI VbtycplvNicg39BkZrU9lCYl3WSJ4/UwhWXVgnq6S55WBNA4ymtWx3OZfLZV 4hwBGxWf796zOl9f71ddNgTIe1rpSK/GZ0uMxz17AkIP/WGVXI1ncdYRxQsE jLA88RBfjf/Jpq3kiwR48MvE7MDmnxqZjMTf4eu7m89uw74UulyreYWAwbjA 7i3Y1ZJCj79fI6Auz3FRAHtTveLFZ24EcLu4f+LFrlpy4lr0JmCpzcx7PTZf /F1y2i0C+H9qnmTFvqicWGhxG69fSUjfb7wfeK90nCm6R8DaUq9pBrYT+3dZ hwd4vxko+H3DrnizdoU3mABbPt9KYnW/D6mnXovA65v/S7t39f24ZfHf9ocE CGbrB7ZicwvdON4SQ4CEjNmtRuyyE6kze+IJ2FlDu1yMzYV4tOnJeD0jD3it vi/252T4nrwh4N2GUZkH2CWL+rRD6Xj+KSVRt7DtlHzCXmUTkBQ4ZeeIXfya 9vlsKQFeLb8VlbE5dFYyOCsIODK5zkoK2+br1jvlVQQkX41R2IrNLmAisbme gFZLy/E/+Dw4F1h+vasFrzeDHtqAXbCz59C9dgIOXDsoXYy9rmZaULGLAAWj yx5vsPMXJKoi+whQPfpoywNstktR7Meo+H2d14zXwc42dEyu/UnA7Mul6+n4 vFOVF9eBJby+nn8dnmDX8lAG0W8Ciiw4ee9hd/bYbKlnoUFdms1TK+x5G+uH 7zbQYGfGT4f12Doepnc+7qAB/76OMQt8/n6w4BUxFKdBd0OMvza2qVp72add NPjj9L1TCtvxj9Fc8x4aWJ0PS1vA531IsIFrmzIN9n+9xvsYuzNRx6r7KA2O uj+YrsH5wtrv78IpQxps6BtXTsEm7Kqf9BjRQIPkphKMPS+p0dFrSgP72/zO J7CF8/cf7T9Lgx/vQx4P4Hzl+E5edeg6DX7dreQlcD4z7Dv0+pI3DXZEBYiE YS9MivCNxeP+Xsb11eP8Gfti/EPSMxrYPqz3S8RWOUm6a55Eg8P5+z57YLsX nWDUvaZB/B2OOAns6Vv32p/n0KBBqMTaH+fn0XVjkWYNNFg/Js6ym28OfRYr 5KyZpgHv+DZObZz/vbr86j1naBDu39bKhS3w4LiP7BxuP3CD3ldcL5iN0Sae /qJB5XOTQzex23I2f/Rgo8NVc8HYLFxvNKnfCd4jTIeFDOUnazfg/WduwBZ7 mA70q+80/XH9EmpUHrTdgA6R5mbKBtjn9WU40gzpsFkpepQXe40KF3epCR0q bqgHJOP6x4S/Y/OAFR2WyKJxtbg+mug8Lbv9Gh3Oirfs/rFmDomYOJulxtEh 2lx7/7Z/THT3WNAr0hgd9s3Ph+f9ZKJuW5fzSt/ocCui1swFW9LbSDhnkg4m /QlfxLGbX2968maGDr8yn8nHLjCR4O8XwY+X6RDqE0DxxvViRm7pNTeeUeC1 Tgzai+vLGcR/WlhoFO5QuD444Pq0k39CU/7AKNTezZ69Ns1E4sPHB94EjYL/ eZ98VRoThTdo5luGjoJx7YYX/QQTMd/KB7NHjMJy5Rk9X+wGDx7VKzGj8LxB j1SL62snju5o5eejsH690oHDFNy/irVBfcEocFXMlx/C9bhC+KVS8uAoNPlM Tq/vZyINtcBYYeUxyHEPzKz6xETnd3QssfaMQUJ11YO/uUzE0v/GTXvDOJzi UN658w0TLTRHEW73x6EuJMo5N4KJEtbaep2SnMDjVy6tvoTrfXJJyprGCfgj LzD+TZeJ1vndt1B3/waG5nVxX/mZ6NYh93Wdr7/Bksq4fN9a3H6mbT7B/x2u Vu++okafRR6J+VH8Dd9BeV3W0/rcWVQjF8qx6fokkCqFxO28ZtGm4x7yATxT cJ186aOD5iwa2tvZ41M9BX8KvTi+Ls2ggpcgSbedBtKv4XP7KmaQTf6BTaIr 07DT3osUc3MG3Qt6fX8o6wfssLO+ky07g3InRJ/zGDNguOHRqfk6Bgp9EWRP NmFA5LjIikktAzmdmpbKM2PAXYrKnswqBtpeXV1w4gwDLpqJ/DqHv4/Do8+9 j3RkgFPkYHBVNgO5HHg2u8GHARMDag6O8QwkESh4jD2dAQpi83wnrzDQysE7 3P0ZDLialxHzzIWBvkzTutOz8fObeKNpFxko5kyxzdFCBjjXzLPftGegf7Kn PIOqGXB0QuN7rCUDDXVFv2TrYUD3goN7JTBQefDihZ7PDLAqfTL0R4uBYjXt ZN4MMEAv+MF7HQ0GMkpTIOmRGXB2/tXmelUGqrzV9un+NwYIlg+/RTIMFL93 f7TZFAOKyjdxrkgzkDuRZCHOYIBjKcc3TUkG2mN8daRungGltENSpTsYaC1r b2rMIgMa9gTdZ25jIEqJpqv9MgPq4qLOKwgzULXrG0WlvwwIyD1XenkzAz0V 41r4948BeQzGw1QBBvofzwvdkQ== "]]}, Annotation[#, "Charting`Private`Tag$2768988#7"]& ], TagBox[ {RGBColor[1, 0.75, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8ld8fAPDQMMoKlUhEQ5LSLj6SbLJHZkZEQ1GRr6KMlJaVJNl7Ze+D rJK9su997jUS9143IkW/0+/+c1/v13k9zznP53zOOZ8jbnfDwJF1zZo1r1nW rPn37+ygtC/9kD/4lvdvDW37C96tr+tNyv0hXbeDVddpFUwCSKy7LALAxpae u2fvChxS2HeW/jsAThaVarRy/YGNCzcfVMQEwnefxr3W63/DZFZ5VZBCEKgQ G+yo/MtQ58D2x3A0CCQYolIPZH+BZ0+454xYMEwI9ldGPF0Ew5CR4tKaYGDd clfr+uefIKuye8H/0hPYuXR2awv/T3D+lcHraPcETgS2Dw3z/QRqQclN0cSn cGINi9ZM5Twg1zV5386FQOS9I502ovMQvUuDVkQNAZvBVJdM/x+gHzboorv7 OVh3XByccmSCjNaudOGm5yDA1lywYWwO2NmuTk44vQCF0mRNY6s5sClb/YCM XsJ63oyZk84M0Bbc1SmV/BLeeojY+k3RYYet5pmCspdQ9/GYi3ouHU7dVGM8 XXgJ1tVIOo2dDoL7XsqaRb4ChjUvq6fNLLAGFOpUT7yCoU+94/oRM8Agfb0q eTwUqEVGnMmd36ElSjyT0R8KOZd/FF22nAY/9oI9wdvC4QvPMot5/iRIq716 nO8WDqEjdR2Z6yeh8Geog11eOKQ5K/vOh0xAV8CNb0NN4cBNtzPZYjsBkmwy mbJ3IuDYrmm2s+Lj0LiSJNvTFQlJDeFRs30E3Djz6MXKvtdwoeqW6bwOAVu9 LzF2+72G9Z+1gu43k+HKkmi+18Eo4ClXzQxqIsHcoWv1L4TeQCNX48sqwTHY +CPyqFjIG9hEm3N61j0CRYduR6pT3oBpVIafPXMYrN0MF2+eioagyfl5TaFh yJ3lKaufioZORk3fs6uDYDD1+IzL+Rjg/cyTJanbD0ZCtzWKZ9/B35+gcpHR DVEj984VrcbCs9mU3NGGTjgrYp40avweIlxrWdx3dcL0xePr2LPfwyA/31vG ow7YMeNln30gDnb+uRURHd0GN64ck1ozHAd5AZnhz1Y/QTc/0xS9jQdp1xSL bocG4HfITUs+kQC8wTROifhauPxoh/kphwSgvbiTEJ1aAxUJzzjaXySAzICH 7yN7BA5kV5eliQQQCHZRvBNfAUXWe2W0IhJhSb2Ho+VaIXgL5KiR7yVB+f7e fi+rVDAzj89lzCVBRyrV3y4yBuhDRpwJwslQ47AoO18ZCYHW7I6G55LBbSC+ aW7+JRTY3xAuDk+GNVpKl1ht7gD3dYUA7+Mp0MGmeqvH9iVqeDhwcb1PKjx2 g49JTVmIuC5IV4tIhWKrSntlxRxkue5ZUUlyKix5OIxtP5OLmEFKvFfaUmHt XmNp0d48tPNZakOLWBpMlZsRcycL0H+vb8u9qkuDenY2i9WxEnQ4i2+9CHsG rL1HCrlmVIM+yTbYtsplgKycso/qUA2y/eBZcd88AyT8wnJmbGvRs+IxN3JG Bqx6PWwvdK5DA8JjPkIzGfDQLkw27thHNFWTPZSikwk7BpLiylzqUWyvxodD YVkgvHJj69UzzYjV+1Dmc98c2Dt/UNnWrxVx/fWzVNuRC0mT9BOxcu0o6oqp tYxqLrRdsHm1FNmOJHtkbPmu50Kd2PrDMX/akWJ6v/1QVS5Mzd+7RrXrQGXp kUUlsnkwdINL7M+eTjRrOFOp1ZYHTpM8es0JXUjaReIDh/QH+NYmFl17tRsZ p71ucd+UD3xb53e5XupFMVYPtS+L50N4Fe9J8ae9iOC/1mp2NB8Wn087vCns RTd8lNsVrPLhqG1lRdf6PhRsMNu1ITsfvmcOTHqn9aGKX6XfBY8UwPpentNS H/pR1R/lwbfaBdCYW9EhT+5HUvq0qY9PC+FC8gv/HTKDSPiB2imn+ELYXM7b LW8wiHiz455ylhSC6rtH3QKeg2iZ3VBWnygE5z0JPGc+DqKOmhL30RNF8Mbk 2wZZ0yFk6lX99JxNERhukddojxxC9+T8VpfGi6BljDjLfWcYtfEICMgqlYCl tKvU19BR9FHhmmOncQkYBzVd1yoYRaWujcUeriXgrdukGtU9ihKbPM0rIkvg 773aVbR5DFV/ubbZN6sEapAvd4T8GPJ8MBKrPlsCD6VudOuFjiEJeso+++hS iLn1w8RGhYTutp2EqPkyKHfzD7osS0bcskXjn9jLofQCjTPsNBkdkex17BQp B/ZZI5PX6mTUqb1nwPp8ObCazq222JHR/hYBd6nIcuCss493jiSjsSZ6Sv7x CtjJuvDJ6jcZqdUmc7feqwT/RxFpTZUEOl2V9MrsQyV8WA44Qhkk0JZCvlEW FgQ9XOMZnuJUZBny24gqhKBP2D1+WoaKEhzGWxplEKzZxp9ucIKKZATLyp6a IXh3VGj/ugtUVHbCQMjYFUGv9CvJDDMqUr5jGyGYh0BPPCVnwZuKjsWYpoQf rAG3g5FDfD1UdMk6xSpttAasTS6QonzGkVlrrLXA7loIfpiu3l81joqJc1/a z9SBoZSo+ovSCdSn7jf3TK0OStMu7amrnUA/c6qFtA3qwIQn2JL2eQId9z55 qdmpDmZPeEwfHplApZsP/qwJrYMDRxPvX2OZRJc/xG3OyaiD12h+q4rgJCpT Ed6ZP1UHsst88bnqk6gyheEeHv4RRKR7bN91TaKSxaXtBir1EKLKE7/OdArV ubzbbj5TDw6CQTtje6eQydInjfkfDRCf2s77J/AbWtitwJN9rQn2Gp3UlwiY RgI39cqTy5tA1sJOkS1/Gr35/+8TpEz/7VP59B2x/srk3S71GZ4oDn1+KzyD KgjZ39KhLeDZIVef0DODjv21LTbM+QKkHylfbjjOItHxe1upya1wxFHPk7t3 Fn3xP9LWKN0OSqYG8w7+NJTdcdA+qK8d9ujOejKaaUjs5fdf6bQO+J2nTvvz mo48tcwfbtrcCaqbPcwqP9DR98Wx0V65Lkji1tT5pcBAogf0O721umB9t+Ud Y1UGSpqu+Mz9vBsmPy8SQZkMxHqW1D4b0Q0VvdykomwG4hZNpVOpPdBvVxB7 l3MOlWp367PO98C0xUZNGe45FHKl6HKcZB+8CBtzHjKbQ1YCHdzpTn3Q73fp tJnTHPqplEl1ftAPO+TYhNsS55Ceu4n3qR/9UBCWK1JeNoc8DtcXCn38Crvf zLHwk+dQ9P/jNwCxFaKvDdcy0VhO/dNO8UFwX736t1iYifzfijs6Wg+BgvGb UTk1Jvrt0vN2370h4E8S8duixURGx6xeyT4YAo4lY+Mq7CyWiUB5/yGoMKcj O20mso5avKnwfAhYK9PNsnSYqLZBWF0/YQiaxbnfntJjoqCdl+Y9Pw+B9xLD 65wxE23um9VuFh6GSzoH9DbYMNH+sxtWL1cMg696XIHlTSbKy8jc87VmGPqU grPmsY8I6OlrNA5Dca6LXMgtJjozGZW0v3MYYoyeDJS5M5HuM2ktxsQwrJ20 LeS5w0S3BnSivPhHwLbDNDn5HhO9/5KQf051BBoVUlomHjBR2c3wwyFXRsB/ KfyE9yMmUksQd/qwZRQisl9t7g7D/UVx724UGQUJC47bquFMtPP5b+qg+Cjs Xra4U4a97NVrt1ZmFEhkillsBBNl6wdbmyqNQuxs6Xv71/j7WOaMV5xHQeDw ftXhaBxvmxoVjfJRUKmo8AuMZ6Ivxtls1mgUqn/eXkfDLtWKrrtVPwoJmYH7 jROYKPS4h1JM2yiAw5K1RCITnefZe4ZOjMKC3FHH0iQmyqx+IR/BNQahzsV/ u1KZKGPDxXxT0zHwJGu7WmQz0V1RGwmy5Rjw2LEx6rDt9ORMhi+NgcrvCkHR HByvRyxP+i+PgbpDNuUO9u5viXOtbmNAtNz33JfLRD2FUzXl/mNw7URJ0JM8 JpLTvmUTnjUGezwUtc4UMNHUvYAYtT9j4Hh5w5B1KRNNm+x3jl9DAh8l1b05 2LaMzaxibCS4vrFDbAVba9f4UWF2EmwvX8sdXcZEEsFB73j5SfDwaf5UezkT dRh9uboiRQLDOPbk/VVMJDNjzNWvQwJXWfvUxFocHyNt9ESPBFK18gdo2Oeq lN0VDUkg0+eud6KOiS4+PziUbEYCztkXN1qwg+U4Mj3sSaDsY8g/+5GJJjwq Nfm9SBBr2rgs2shEcSsST3SSSGBw22bo2Gfc3+VtiiypJHi8PC1/G7ukjYdZ mE6CODWQKcBue//HXCSXBLQ/T/4caGGilbN9+76X4fZTGaJiX5hI/oXNClsr CWY5+k3KWvF4AoM/PW4nQaVW40069mYeBnv9MgmOy70fUe9koq6qJ0EaKyTY HcdYuIsdelVqfftfEnSY21emYPN/vsg2uJYMeYZUQ7Yu7ICGFTo3GW4lf80p xeb9Hc3cvosMO55E7RTowfFLP3ozXooMdWF3xRWxX5p10HfvJUNotWGnEzZP 8brZQwfI4P/6pGI5NvdNt0m142QopxzRtehloo2T54fdtcgwl5lg8LwP52cE 6eIvHTLYbnuvUYAdouI9cF+PDMs3rzP6sbkS8vqCjclw93G5zs5+JuK02t75 3oYMEg/uqmdjs3czGlrcycB29rtG6VcmavZ7qqJ/hwy6kUdVvmI/ltv9sc+T DBebJeiL2BueW9SQfchwfXGr6bEBJlqv0Vi+GEQGv5IBt1zsteht7q4YMmiL 1PeFDjLR4BkV9bFYMuTwdInnYeeWz5Ci48nQcy6CtxX7YrECP38qGR703xtY N8REH7LHPNbkk0F66j9hd+zA/Y83VRaSQc+A7v8M2zJdLuVuCRnYN0WEpWKz J/v10yrJQKKVvhvEto7ZdWqkiQxHdgk5nRnG+4Pwl66oz3h+1vbPG2JzRHm4 GrWSwfSa2h5X7MKwhpiWLjL0Onjci8Lmeur0t2yEDCHaWUM07FKvzPrIHzge 7pORT0aY6PmioZXBTzLwDTbficG2v/1nYdMvMni2aP/JHvk3Xzp7AlbJoLzF c6kd29GZHuzOQUCa1koxzyher/NEgtwmAq67Kx2UxOZ1UKqY5sZ+oHLvAHal zauZSwIE7FGU6dPA5jeVv6AnRoDQ8QLz+9hTPUOTXBIELHvnRT/BrjLw922S JCBf58zDSGxn3d4PitIEsKWfPJ+NrfjFR3NZhgAv6eadpdibNXdTig4S4LtX LLEOu/r8XYEDRwmQULKN6cMO/yiWPXWcAFYRp80k7Ctnm88nnSLg19KNQ9+w BRS23d2uRID/XI3dMvZ0eS1PvzIBh6Ol7rCOMVHNCZe00PMEnLFukOPEdj1S McChRcBGTvrbrf/aO3qzSvE9MuaqiKwYtuA1xgMnPQKmPeZcpLBdOLgMhQwJ aPzP22A/NkqW2t1gTMBCfxNVDltAWemXuxnur4cifgz7yujFLxIW2GXDHKex N295ecvXloDTitGD57CdCzLOH7QnIOuC10c17KoLDVtHHXG8ZFxMtbD5Z8a+ hzgTIPDXK1IX2+nxcvVpVwISpot89bErJQVDp68RcG7TfiEjbL7ag45v3PB4 70+YmGBfttI8oe6O51d/QdkMu+KXA9fibQLiXjkMmmPzRj4YTfYkQOT8WVEL bMfD0R+MvAn472oUlyV2eVuhP9t9AnRY7yb/M49ru2m+L47f72/T/+ywYVr6 0iMCJFVXh/65LHHtKk8gAZxfajz/mVtJrLP6MQFSboq1/95vP3wy6dpTAkZ5 /IsuYpd6Gt0VeU5A38NY43/j2SR4Q7PlJQET0dHxpth2H4JF74Xh90sGvDHG LtFJYuyNxO1UFwVD7I3T1R/7owhoeGf2TA/7UuBAZOBb/H0cFsE62MUS81eO xhLwbuT+IU1sLsStQI0jQPZTR4Aqtq3FPt6wRAK23rEKVMYuWjxHOZuC8/3x IXlFbM5w62JGGgHRseYhJ7Ft5LyC32cSYKlPvDqCXfglzFI3h4BO+a/nDmJz XMk5uJJHgEe3WsI+7IJ4Su/FYgLf0xsdRLHZFVfTOMpwvhjSmoWwrQa3/lda QUD/au0AD/aGzboSQrUEsKjGsrBgW/iXXu9sIaAjOcB1DOdz3s7us75tOD/i Lh/7tx7WVc0KHOwkwE7NJOcLdu6CREVIH57/1NDkf+uJzenZBnUyXp/M3vwQ bDO2tMGfFAKMch5O+mJnv6/LTp4gQDHt/ScPbNOvi4ZsMwTwllyMtMDO1LCL q/5JwHDtbkMp7CMy4orwi4A1AiW0Lf/WJzdpCP0moJzRqMyJ3dFttaV2DQWK 2UIEaHh/mbcyf/6RkwLG9WU2+dg+SltlVDZRoLnCqCYBe/2u/k/1PBSI1Kgc CMXeNmW0rlGAAll2W47fwla8pfdf8w4KfFVlf3cAu8mIR1hDnAKrzfwN27H1 jreVfNpFAU7G0RQObLs/Wj8+76VAzbfvYVS8PwYFqrm0HqbA62HRHa+xO6IV zbpUKcD7rmmBhvdjc5+VBQMNCui8rCn4ik3YVIZ1a+H+LJ3212HPS55q79Gj wEUNilo49rbco6r9FylwmS/i2FFsu48yR4avU6BOZIB5BZ8XGn1n451uU8C7 ff/8DuyF78K8E5G4PWpC6j0+n8LfTTbFvKHAcoD8Ex9s+QuFDwxjKFDQI/bO Avtmvg69Jp4CQlJs7ULYs56+bW+zKOBhv98hGJ+H4+smQvTrKNA6kmZlg8/P XrEPHFWzFHBMej7Q1s1EHp0+te4MCgRtZNmTiL35kaaX9A8KyAlel7yLrT9B mXq9RIGN8nYHd2C3Zgk132KjQs/nr4HOuB5oOPlf4N5tVNBOEz9P68DrwVCN LVyFCtUV59Wqcf3xWKs0QESNCkzXuNMh2Jbn9rEna1Chjs/6uzk2qzzXpmJd 3F4q4TOP6xldfvwZZlR4taXQZTf2VIeJtMg1Klhasdz2wfWQsO5l/aQIKmwL nfVZwvXU7Pn+bpkoKuzMkKRVYdcoqJsURVOB/WKl8CPsywekLRrf4/5sZNI3 YhdspDlMpVPhpdPEW5EGJtJuue0pU00FXzP3sYO4XnugHvC+cIIK+WF9myUR rpesnS3lvlFBwIXvJlHNRJK3tbZlfadCTsDx53HYn+P5whIZVDA5dIldBFvg 97vA0GUq8Jz7/ocH15Np2cXX3LjHwSbx68x3XG8yEL/JNsFxmLtccUTmX/3J P3Va5tg41Gv7bPEoZiLxEc2viQHj8KnfibMpi4me1J3ONX48Do3UoeTr2MxU mcANT8eBU7t1URC77hb3EdeX41C5Sx3ZZ+L9lb3rxeG34yDE6zPyOx33L2+u Vps3Dr2unVY7cL0u+8SpeHRoHBJ0xpJkcP1/6rh/+LbDE3Cd9nTxBr5fWO5o /8XSPQGj9dWduV5MtKY/0U2BcxIcWwQsJG/g/Pz8jHDzmwQLFO5mZ8ZEUWut PQwkp6DjUfO40VGcP6NFCaz1U9DFXXbYiAfvNz5+RidvfoM9oh3p24k55Hn2 5rqO+G8Q46HJpdczh9akW+cS/NOwmmZ162jhHLoVnfuMv24a5vbrpfren0NV +x+z813/Dolp6hEd5+cQn+YtmYfcMyCyS+6C26Y5NHygo9urcgbqZe+cD/7C QHmxIEm1ngXNnhLh6yEMZJV7jE90dRb6lpQj9TQZyDcg3m84gwYH9CZFKSt0 lD0l+pZbmw4Lj864XnWho8fvAmxHdelw+uRTwRYnOnIwmJXK0aeD7BUbhX2O dCRSWZmnY0qHHtbYdVQbOnrywqIxxI4Ood/eehoa05HzsTdznF50uC7Z9m2b Eh1J+Auob0ihg9uFFZbzgnS0euK/Tf1pdPgq9dQmjJ+OBmYpXSmZdBAJbDxF 5qGjl6YFVqof6CDMpenizUlHf6UN3AMq8fO+cdnpf2louPNFLFs3HeoO2zfO fqOh0sBF++5eOoTchr/ykzQUftpmX+JXOqTYfy3yotKQVrJsofIoHY5EnYth G6Ohcs/WT37f6KDEIaTL10NDkQeOvtCfocOSPc3DsJOGbhIxRuJ0OhyuC94W 0UZDe7WvjtXM0yHt7sZhoU80tJalJ+nlIh2mFRZ+mTTSEKnotIvtMh06xhMj Ij/SUKVL4kG5FTy+Hdtye2to6LUY18Lfv3SYCDdWFaimof8BNiPhXQ== "]]}, Annotation[#, "Charting`Private`Tag$2768988#8"]& ], TagBox[ {RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd13c81d8bAHAlq5CESiQqlYRoS09akvG1V2WHSBKVkUhGCiFJkbL33qsj MyF7r3s/9xoJ97oZRfQ7/e4/9/X+55zzec5zzvMcUXMHrZvrmZiYgtYxMf37 r89/cOjlreeQJOjfS27+Cxx/7shprn8BHy2JOyvua0DNL3YUjn8Bzoo/Giec VwHZMeV8vxAI54pYKs0D/sC7PcqzhdRAaLywQ+Jh9gpovhqwVRcPBiGV7JeV ossgqbInVbAhGOr6lT8K2/4GdubbE+PWL0E1U+EsV/kvMCldy0U6IZC1crjb 0mkJVPn3tO9LDIFHrQVSQf2LsMv06pn80hA4P/pD5HP+Ipx2VKK/WAgBg+lc p9xLi8B/METKICIUkj3FglWkFmC9b4Hap/FQMAnjonOlzQOd1Hd774kwKFnU FTKTmIemSNF0em8YqM4o6mae+AlP2PP3B+wIhyCG3N/Cx3MgoRT6LO9uOLDu LRQ/wjMHBYthluY54aCSHSWz+JkOHb4O3wcbwuHDmQaj3Yl02MssmS714DWc S6vz0sqlQf1qglRXRwSYHrBNMq6dBoczT1+uHnwD5mNclAX+adjubkYXf/IG pH0yE0/d/gG3fgnnuUpHAuet+8W/9k3B3BH72pcCb4FHh9A8/noSOH9GHBMJ fIvjoh2o2zgBhUfuR1yhvIXdvnGlJ+UnwPiu9pLj6XfgV9fX7pgzDtkzm0tr J9/BxcNRXJYJY6A1+eyM7aVomKxfYQhkU0BH4L5y0cx7GC5u2PQtnAyRw24X CtdiQGq7HvHwNAkUhQwTRnQ/AMN1x/32tFGYMjrBwp75AbhIRK07dQR2Tbta ZB7+CCdCbwXkmQ+Dw63j+5iGPkJWeueXJP8BqH2W2B3OFgvcL8o+f+7rh+0p fH4H5WKB7+1e1CnZD1XjjHGt57HgsdIy6zfcC328DH0UFQsh5r7xBe97gdcy OyXxZByQ5frE14y7werpLsPTlnGwEnOdFFPXBeVxQRytL+Og1V03J0aqCyzJ dra/xuPAvHfsv0dsnVBofEBS5XU8BDx0vr61sw3c+bKUyG4JkCp71rlJoxkM DGOz6XMJEF49H1oZ2Ai0QZ2NcYKJcE5rsWxf6hfwM2a/qX0hEcyPDdfofWmA fAsHwaLwRDD2/u7Wy10P3HcUfN1PJIFsylfThrJqqPPuN2L1SIYDFSUH3FlL gbjDT1N6nQwdPXIHB/aWwHWWoMLixGQ4F3OpYeFFMTD8z/Hc+pYMIRv+hLjw F8HuoOS6JpEUSLHi7VE+mg+P3tyXCa1OAdOudvFTZ9NBNmMLqxB7Gngxt5hO 9T6DRqk60xaZNGDq5p7wDvYA01yX8seG2C2SPAryFhBUNHqXnIZ9N/DoziIP 1C846iEwnQa1juGhSCoYTVZlDiappQNpy1Xv4uB3KKZbOffIqwxgYqo2X7PN Ruvdj6QHe2VB+mXxmFXxCrTp75PrSruyYfvrjeUZPFUo8pa+seTlbJDkZP3L GVCF9nZJmm65kw3vPsqLBDB9RmdTey0GK7PBPGq7LHn6MypNjSgslsqBtPpT ohblNWhGe7pC5VsOiN0PqueXbUAStmK5HBK5wMGjGBLL3oh0U940OXHlgQ9/ CvumNy0o+oa3qpVoHpSd7JoZW2pBBK99i8GxPKDKN4/uN/iGHDzOtyrcyAPZ g+aDEwKtKEBrpoMtMw9UsiRiai63ofLfJT/4cVxpVqEbalzaUeWf8wNRqvmw 1X+GXzunHe3TnJ2seVEAS9Gb1kR1upCgp9Jp69gC6IyTRoOeXYgn8+OLjcUF MDiRG6yb3oWW2bWlNIkC2KXpwx24rhu1VRU7jZwshJ3eDxcF0ruRvuunFxdM CuHkG0409LMbuck8Wfs1Vgh3JzLcpH/2oG+b+fikzhWD8feLDRrX+lGNgv3N dt1imNY01ZPx6kcldvVFznbFIMxnZkVO6EfxDS6G5RHFkNJjVlk6048+Ndtv 9cooBjNOcOrZMoBcPIdjrswUw9OvjlR1jwEkRks6aPGuBMznUjwtwgfRw2+n IHK+FIIcOBRLEoYRt1ThWCN7GUTd3//esnoYHd3bfbNdqAzCzVxfFYwOo3bV /f3Gl8rgl4Owfp7gCDrUxOe0L6IMbitxMpqCR9BoAy0p70Q5tCw6mL12HEVK nxO5W9wqYMZxWdcplITkKxNCDXIrIPvHWtP6fBLaVrBlZN06BBNvtl/mFCHQ 9cAVHaoAgkgWq/iaQwSKsxxrqpdEsLjfWNPhJIEk+UtLXxggOJDmMBOvSaDS k1oCunYIxum7dhtcJ9D5B6av+XMQ9JgcP+vzlEDHo/WTwqWrwKqN2ebIGIHM jJNupIxUgez00uaijxRk0BJjzCf+Gb5vC+9zn6CgIuJCc+uZamhuqgzPWqGi nitP5oKUquEIVbi3kWUMLWZ9ElDVqga1m9aWw5vH0An3U2ZfrKvh6O2xZzN7 xlDJVunFqrBqENM6yJ+vMoascj9uzUqrBmWSkfd9szFUelFwd94kHv/JYufg 2zFUkUR3Cg+vAaY9JyqoMuOoeOnXTq2LtWCUfKvJ4fM4qrZ9v9NwuhbUt+yv jFOZQHq/GpXnf9aBdLS+z2XOSbQgrrA5074B8mwuSv+3+zvic9QoSyxrgK03 1XXrNb6jt///NYIZF2eg4eMptP53Os/OfV/BPFq0RKZnCpUTUisSYU2wY+hi 1eGYH+j4X9Mi7axm0Iu1aeg7NY2Ex9y2UxNb4MFs1MLd3GnU7HP0W71EK7ip 9hqo28+gzDZpC/+eVtCxCtwUXDSDREJ+/E6dbYNnt7jIra9mkYuKoTfX1nag lqz7fSl7Fv1YGh3plukAon23w5wfDQkf1mx3V+mAKfNNHVWRNJQwVf6VO7gT LmbD8KGTdLRekdQ687oT1nyf93qcpiNu4WQaldoFd4+Ni8m/p6MS1U7N9fNd wLn2fVUylo4CbxVafdzbAz9EtM9k0unoBl8bd6p1D7hFhFJ2Ms2hxXPpVBvP XnglqLzifW4OaTjpuZ/+2QvWrG2GY/pzyFm2tkCgpg/uPGIVGn4yh979P379 cIqDVeJl8hwazap90S46AO4LJiKeaA75RInevGk8CLZPNeJP0ubQim1X1EG3 QRBvWz5u83MO6Ry/ESrlOQiREhtfC87PoYx1435yPoPQfIjh04xtHLnkqBA8 CKKnKgWlF+fQ5zrBK5pxg8CTri1K+zWH/Hebzbt8HQQ6Cz3PaG0Obe2ZUf0i OATyg0dSSOwMdEiRbc2qfAjkkt5nZAoxUE5a+v6+qiFg7UsU0BJmoKN8GprK 9UPwmG+ZdRH7zERkwqH2IXhouMH9jAgDqQdJqNDHhyC8bVNBjSgD3etXi3Tl HYZJaw7fcnEG+tAcl3fh8jA4r53b5iDJQKWO4bKBt4bBi3bSRVOGgZTiRK1z t41AnJLdNuHzeL5IbvF6oRHgNrLbEoW9O3iFOiA6AhdCi5K3X2CgZddu8w2S I1B2xj+V9yIDZWoGGOufGwGjrEcb1l9moK3r5nRXbUaA+PND4psyA42aVF1U LhsB03LZdiFNBkplM8rT1x+FyeOWr8SMGeihsIkY+foosN9IFIzENteQ0Rsy G4WBrb/aVrDVn6573ms1CuUabpImJgwk/j1+ruXuKMRt0+/ca8pAXQWTVWU+ o8C73plIN2MgGdV7JuEZozBoIy2QaslAk26+0Up/RuGgm7emqS0DTekdsoll IoHQ/p62EmxT+tb1IswkSPKJWOKxYyCVPWPHBNlJ8KU8Tr4KWyzA/z0PLwmG ZVs+CNozUJtO8+3VfSRg23F34pMDA0lO627qVSNBSLPTVJ0zA5XoqKLnGiSw auDiELzPQBcqzzud1SZBs+j4Z3tso2DpwUQDEhQ+SFzP94CBAmQ40p0tSBDW l1B97SEDjTtXXOV1JYFlfqF6nysDfVwVe66WQAKDItd9fo/xfFY7zq5LJkHg /qD8Fuzib5sZBakkEFe0HuHzZKBvH/4YCmWTIKejcmMc9qpiz8EfpSQ4sHlb VbEXA8m9NFllbiFB0ESNcJg3Xo9fQOOzVhII8jtktWFv3Uxnr10mAaq1ESn1 Y6COyuf+yqskyLj8xIWOHXZ7H2vrXxJ4CZ332O/PQLxfjZgHNpAhKflXQPg/ +9at0rjJwFgYyLV9xkA8K+8YO/eQ4caU3RW25zh+qcccY/eRwUGeyeIUdohB G038ABkeGR2UsMPeXMQyc+QwGUjHnD+1YHM73p1QOkGGj3reTC9fMBDnxKUh JxUyiBkILq0LYqDm1ySj32pkkJhBZCnswIvu/Y81yOCzl+R6DXtTXE5PgC4Z jDgb8/KxN97Y2f7BhAzGRg1XTIMZiL2TXtfkRIYv9MItaS8ZaAOKyt4TjddT yevCFMZAA2cuXhmNwd+39HeLOHZ22TTpXSwZ+naxqKlgGxUp8PImk2HgUlRS OHZu5qgzUx4ZzBLbv4u9YiDj6D2nhxvIcNpaFB0Ox+dLsLkj8isZlt8+uKeG zRHpbKfTQgZJDXrDbeyCV3XRTR1kUNF+ZZiGvemF9d/SYTJc17DcIfoa55dr em3ETzI0X/DYsYodvKR9Q2uRDCP9DYsCEQxkcf/PAtdvMpS/kX8oE/Evfmr7 fdfIMJ4wYmaOfdOGFuDEQcAaT8foZ+yueSJOhouA9NJnEmRsHstz5VPcBPzX uduZhl1hEjptxkdAnYDmm51v8P7qy/2nIUIAo1wt0AF7smtwYpMYAS8lY+Kf Yldq+Xg17CWAVsVn8gbbRr0796wEAQXBedWV2J8uPeQ7fIyA5SLzs6yRDBRe I5I5eYIAoXsRLtuwbyl+uZRwmoBJltv6B7D5FHY83HmOAB+208zK2HZHy/s5 VAjI5+bi98OuauvOKFEjoGPvW7lwbH57uqe1BgHz3s+XY7FR4j7xOl0CqOd7 nlT8G+/8ud9OBgSwSqidb/w334hRs9g1AgYszNO7sbduC7nnZUrAurCPD2ew bfLTLklbECDdOzbwC7vyv7rtIzcJaOVZP8H8loGsny1/krcjwKN86fd27PLf lpuW7hPQvWzKCdg8EZ4jiS4E3BKeKFbCvin7LlfHnYCacwWcGtib7Vr187wI YBK4lmeCbck2JWH2lIDNjzWYrbFL4zesbfYj4LJ27ao9tsXQqQT7FwRU2xnT 3LBLXHQeCgUT4Cf7cdwLm4vf4WpTCAFu9m/8/bDNcwOE3V4RkPRNs+MFdrFa Av1ABAGN64brQ7A5pz7V9EYSYJNx+eZrbDO//gi/KAJq7aMz32IXic3fOhZD wPeRHx/eY29C3ArUjzhfws6ficU2vXaQ51U8AWn8Wd4J2IVLFyiKSQQYzMo7 JWNvDDcuoqfg/Y7+zZWGbSLjGvAhnYDMqHmtDOyC5lfX1bMIsDQ+fT4Lm+NW lvRqDgFLWn2D2djGLI3rM/IJECQPiuRi58dSuo2KCLC21eLOw2Y/u5bCUUqA 2VXl5H++MbD9UUk5AQ96Wqb+Oe+B3H/Wn3B8jWf6/pltq7qYwGcCVCQKHf/5 erbNQm0NAdGPZQv/jZ+r8vSLUz0BhyPvxedgs06+jxJrJOBYlveZf+u55lNy p72JgKk5B69M7JzdnYpe3wjwClZySMdmqZzhk24n4GSqAEcqtpEh++RwJwG6 ZlNqSdjZC2LlgT0EHGxrVYjH3hCmECzfTwAfR1ffB2xDKQOzqUECAnZsEInG ZrYOYrtCJuBK/87MV9gGzCkDixQCZn2FF4KxMz9UZyaOE0Da4DkZgK3ft6TN PE1Aqdzr9sfYGc68+/NmCeDJs2hwwV635fCy6RwBYR/qbO5hpyubf/y0SABl 78MsS+yjkqJn4TcBD4POdt3A/sRNGkQrBDT7ohw97LbOG9s+M1Hg0vNtwf/y 2bBIqFCRmQJNCswv/+U7ETmoVc1Cgb7W9ssnsOdvGAbXbKRAVNa5wX3YHue2 S17kogCr10Kx0L/47ultrN1MgdunilS2Yu+Y1GGp56MAnPWJ/IvP29l7Go++ 7KJAYoTDly7sBp3NgsqiFKho/mj87/xqnPhW3LiHAgPS0hmV2OZ/VH5+PYD9 7YV9Ira/n5JtiywFptCN547Ybe/OGnRcpkCOpOixP/g+MvRYXdBSpgCnQM+l aWzCpOJVpwoF0oL8uYew5/eebu3SoADjDtuXMuwd2ccu9xpRwJwtaMgZ27xG 8ujQHQq0JcqGD+L78kfij/brjvj7jc8fbMBW7lGMtb5PgfnOry6J2P5qB9JH XCiQ1yB+5hl2Ru8eMbI3BTb7mzv8u68XfgjyjEdQgEX18BMnfL+Hv59oiH5L AY//bvobYMv9V+CpHU2BO0x6pxWwHfPUaFWxFLiyGJLEgj3j4vUtKoMCFn0l b8Nw/RhjGQ/UrKaAhprQQjSuRz7FeRfZ6ygQHWDV/Ah7zy3PP58aKPDwzD7N 69hmzdtvS7ZQYLuilIUg9nCYigpbHwX+XMhNC8P1rVskl6NyhgJ+6o/bnUIZ yLnd47MTnQI1F+/6qmNvfXrVVeInBT6rBk0cwNYcp0y++UWBR/73i4ZCGKgl Q+DLPWYqxF8+6XUOu+7UI78DO6gwFH6h5Reux4XaSszhF6lwd4fuO8lABnqm UuIrpESFyC9W2kzY1y8cZE9UpsLCVaP6TtwPrJfbxFWkToUYC44BV2x13laB PgMq1Oq4llbj/mGyTU9CyJ4Kbby7TZUCGEhQ3Uoz4TUVdD62+gvhfmbmUm+n ZCQVKr5GBU344nqicEWv8B0VeL7rq+dhWx2WuFb/gQoFI1VMStj5nLOWk6lU eLp6WsLeh4FUm+67SH6igpYPLSID90+eV3w/FIxTQVE3efMv3J91GNtcl/lO hXXS/GXl2Hvvq+zI+EEFAbrgHk/sr7FbXsXTqTAfuukICzbfynu/sGUquL1S V+D2YKCUzCL7u9xjEDZWLsznzkB0xKu3g38MmDs5VMzdcD7zTspLHh+DIsEY GRruJ0WHr/bF+46BUZnHASruV59Xy2frPhuDx1ckJEOxGcmSfmwvxqBvN5Wq gF19j/uoXcgYLGfE3o+4jesPe8dL2agxMFc/wn8R978pcoZKn3PG4HzgX+1Q GwaSem5dNDI4BjOmXhvnzRno9Amf8B2y43BUJ3f3kB7en12tv9d1jsOFV3YP FRUYiKk3/q7Cxgm4zp6awieH8/trEHH3yQTMeg2xiuD3TOQGY2etvZMQdzby +7YV/D4aKYxbXzsJF46azXH0zCEWjyc6pxy/Q7iZvG9j6hxyUXRkaYv9DvR3 JE+InkNMqcbZBO8UDD0ReVn5aA7de5cdxFs9BQFyXiUTSnOo8tAz9i13fsAu rg+ZLDxzaMvVe5Le3NMgGSLeZNRHR0OH2zpdK6ZBTM9U53AkHeXEwF6q8QzU 6cm/KDTA78/s41uE12bgJmuLrfQ2OvLyjX0ylDYLDfFyYT34vZs5KRzFrUoD IancI3dZaejZe1/TEXUaRLrounQy05Cl1sy+LE0apHCpyB9fR0NCFRU5avo0 8G6QOb68Mouev7xWH2hOg6RAPqZHc7PI5vjbuY2uNPDqjBuzGppFYj58V9iS aHAvUGf9QO4sWjv5iKs3hQYh3iI9kvg93j9D6UhKp8GDdltxz4xZFKKff+Ny Lg18XP3PiCXPor8SWk6+FTTYeGzlrHn0LBpqfxnD3EkDCavO941+s6jEb8mi s5sGxrOyp/l8ZlG4vMnB+D4aDF3Zp238ZBapJEoVnB+hQfT7+mW6+ywqc2lp fPKdBo8PbBflcZxFEYePvdScpsFshUSc3p1Z5EhE64jSaHBmV9+HaLtZdED1 9mjVPA1kWdi27LeaRRvWdSWELNFA1ey5j53FLCIVytuaLtNA5kSGc7bpLKqw jZeWWaXBp1v2ZMaNWfRGZNPC37/4+/q+fT12bRb9D7pxUVs= "]]}, Annotation[#, "Charting`Private`Tag$2768988#9"]& ], TagBox[ {RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c81d8bAHCFItnj21BSElkNURlPQkRkr5CUXSpUNFUqqSQkSWRX9t6O ZBTZe9/7udced1iV6Hf63X/u6/26n3vOc855Puc8R9zxsonTWhYWloA1LCz/ voUuCPlolYfA4s05YqzpLxy9qkN/thACFGex7eaUVZBq9OBlar8CkdXU2a+L KyAsHSJvFfEKvmcKXV3eswJrH+UZVIy+AtY8+kS22x+gk3ouSiiHQknbbpX9 hcvQECmeSu8OhbkVp76+i7+haF673kIqDKwWaI+etf2CZCP3iTLfMDir3H3K Wf0X3OfI3fN0czgwTl4odZP8CXt1XgXmXAkHCa/SiK8RS5C3GHrBMSscFN4K Kb/avwRtjy5P9NeFw+OvSse1Ni6BBKtsqvz117BGfIepBfsi1K4kyne0RQC1 s9RcVGoeLqs+fLki/Qb4rsv/TS6eg023ztEl778BMqm7yN5wDtx+bsvxU4iE m3qh14v8mcDYf6n6pchbkGuBO3qPGLBxLuKQ2PO3cIPlSfw5dgbk778WoUt5 Cwo7hYjANDrYXzFduno0CiLv3hskm9Mhc4a3uHo8Clg0pTOj7WhgMh6o6q4d DZavOpWKZqdhWdLlfVh0NKRVnyqOPzMNiU7aq2Vz0XAz3FzrS8MULBBrKnnj 38NlFbsDkvmTcFbk2smCmfeQJbpSG6I5CZGDNzXzV2NA9XLBp4xP46Ahap04 ZB4LZ0ecNQ3kxmHSRpmdIz0WdlRMZVjljsH2ab/z6XIfYMegCt25dhQuuynt Zhn4ANaDZhHO60agOjCpM3x9HJxSzL3o/o4Kmz4KPZY+GAc7HNc7GR+gQuUo c9QkKA7KNn2pCHGiQI8A0xK9iwPFG+vepKpTQOBC5sekw/HgWilk7EEig/PD 7dZHL8TDnjODYlsekqE0/gVn88t4mJ+9YXRyDxkukD3cf47Gg1ZD7dRfbxLk 20vJ6r9OgO4JQE9UhuCWUIYO+WYiGMd+WPd8bT9YWcdl0hmJ8HD6v6Uii16g 9ZttiN+SBDkPr8+8bOyBx/YcTqaaSfDpWOA7yRM9kHv+8paC8CSI0l0uu6ja DTyeao9uKSeDf0xQp71qJ9Q86LVZdycFeDelalY8aAXCU5im8zoFciVb3+lD K9iyv8gvTEoB3ZYZzTf8rcB8cozPrSkF9r586JET1wI7XqTUNIh9BF/O4edy z5rh9ptr+15VfYTDnhXLk0o/4EAa/zpRjs/wJ8dKeHihBr7L1zg07vsM4Z6N ewqUasAh27f0rvVnCDTuPO3pVw0vCoavkD9/Bn82VjjH9hV6twzfEZn+DDfd ImN+kb/AeGV6f7JBKlA7lLJuKFRCTOfJ7P1hacDBFa9s+DEf1t7anxrsnwEp S9qT+duigevvfVud7ZlQya4YONv6ACLdLO1lT2QCC4siR9RaH5DokHXg98QO 0Bg5uUsL1D91n+8vx88fXp9iweGPij9F5BfKZ4G/qHtYymQkmjGdLtNvyoIP vIniX2LT0F73ndmce7OBwy+U4vs6B5l/fNPgzZ0DkTcLR0xly1G03YNTzuLY l+5kf9tYgQiBS41Wh3Lg46+YV9+mKtDlO8eb1exywOcL55Vyk0r01GSmbX16 DmRlmd3nZatCpb+KpoQVc2EunO3oh9pqVP7neN+7U7kgq3vLYfpEDdptPDv+ 9VkebF8dfthq3YC23NM56hKXB0POPmoyFQ2IL/3Dsw2FeWAzx3ZmUvwH+s1h Km9M5MHH9ddvxo79QC2Vhd5Dh/PBMyKFKnCxCVn6VTzTPJsPp6Zl1B4KNKOb ++6v/hzJB7OgtzdU0ltQE6+QkPyxQrC4LP/Nw6MdfVW75NRqXggxsmcdrF63 oyKP2gIfj0KQ14hV50btKKHO17o0ohAWZnaPtfJ3oIoflwT90wrhyj3vlNaj Hcj33mCM7kwhRKoxlTvzOtBOWrL0+agiuDknUrSP0YluNB2ByPliKBY8ut/4 RA/ikc8f+c5RAhF3zfm+u/QgRYlOp1bREniZLjvcFdiDWk/t6bXXLoGPFdN1 Fg09SKZByHt3RAnwEh/TxQ170XAdLTlHuRTSlb3C9Q36kM6XJJ7Gm2VwWDhY IungAFIpT3xllV0G3+3SFxPuDqD/8viH1qxBQD99qFU8bRjZPl82o4og0A7a +OD6t2EUf2GkoVYWgVvE6fZM6jCSFS4ufmaF4FO5TZArDwkVHzYRMfdAYPFV adZ4Cwkdv+7wWjgLwbGEzrAJbRJSirZMDsd57F9obXM3h4TO2SfbfRyqhNOH 2I8FPCAjq8YYeyHJL2Czwex2SQsZFRCaP5pVq8Df71jIwhoK6tK9z3ihUwV/ rr4I3cxNQYsZFSKnTKqgKXY1Q3ETBSnfOnLum0sVtDK/uBjJU1CRoMJiZWgV POzRlBOzoSDn7A+CGZ+rIHI1eYDfi4KKtbbsyBmvAkXbbdYSWRRUlkz3Dg// CpYbjxBbLKiocOnnVhOtanBio23wnaeiKvf3W62nq0GS62ID+dkIsvj5/eT8 XA0E3tHuGrcbRQuSarzpl+pgnq2gpD9oDAldNSpJKqkDu172ERc0ht7+//Md Fsyqc8+tm0Brf6Xybd1dD3q300djnCZQKSG/vDe0Afp5qWfvqk0ipb8OBaYZ P6BMwv3T45FJtG3k5iZqUiMsjYoI73eeQj8CFJtq9zbDXtG4M4b7plF6i8L5 J13NQPoqGzx2dxqJhUz9+jTbAnfNKeImF2eQr771A27BVjDhc+UqfTqDppaG hzr3tYG3aQJ73pVZtE3OuPWWfhsIrZXOrHw4ixInS+t5gtvhbcsfeSt3Glqr QWqeed0Oxp0iiwaXaYhnWwqNSu2AnD/sevvF6ajoVLvx2vkOOJA4nOW6m46e u+U7f5DogmSdNc8cb9KRnVALzyeXLpDYo7KBGkRHi8dSqa73uiHfXWNHbTMd GXlb3Do61w0Kl95Oto7Tkc+B6jyRrz1wiJtfvkaYgaL+P3+9UJVGalVVZ6Dh jOpnreJ9EGGf6kCzZKCAd+JOTvb9cNN4ptH6GQMtu3e8k77ZDwfklzUGXjKQ jMb6VefSAbBx/PMsqIyBsj6n7umpHAARlyeb1MoZSFHIyPhk7QAU7OKRpGGr jkUmyrQOwOSuyGpjxECGL/bq00cHgM3tjCB/FQN59RpE+gkMgq/uCWHfOgaK /RGfo3liEIyOiiemNzJQ8dXwA8/dBuHpTF/YeCsD6cSLu2T/NwSS0mxPbEZw f5E8krWiQ8AZ5RJExd4RvEztEx+CtSGckp6jDPTbr9ORTXYI5r+5SfqPMVC6 8VN7y2ND8K1DzTB2goEE1zDMV1yHwIxj++n6GTwfZyu1TpYMgU79vZL2BQb6 tN4mx9JyGDI4Qq2V2ZjoxrazO8m2wxDhZaVUjO1otM9i4NwwEDu46/ewM5Hh wzVB3c7DcD/nzt/X2JITCYzGK8PADCNOX13HRB1545UlAcMwkDURuIuDifad 8jobnjYMl9Ycu3Sdi4nGbz6K1vkzDPRviU+6+Jlo0kLGNY6FBE+mRn2PCDCR A11wrRgrCT7wmPJEY+vvGjm0hYMEeh/mdzsIMtHOp0/e8wmQQHfBbQNViIla zH5cXNlNgu5kl6K+/5hIdtqcq9uABGwv90oHbGOiIrNTKMiIBI1l2vIUbM3y 497qpiSocFv9rrGdiWyCFfqTrEiQkRdfs4L9dB9nqs95EgQny7Vc2cFEoz5l egJ+JKh70K+tuYuJPqzsDDJIJMFcS7ZBlBTuz3mz+poUEoSWexlPYxc28TLz PpFAfzJ4Vk2aiZpi/1iLZpJgqEVuYRh7RaNLeqr43/jMlcRkmOjgy7MrrI0k UPCQ9Dwuh+N5/PR7YDMJPrN8iArCFuSlc1T/JkGUce4t4QNM1FYe9OTkCgkU a10ULbBDL+5e1/yXBBtEFl5HYAvU27D2sZFB6nefqchB7Ec1KzQeMhTzvinj V2QivuUo5tZdZNj6qfX0z0NMtHFMe8BbnwxPv3ZOBRxhoh+vSTa/DMgw7Hx5 qAT7udat3rtGZKi17b1Fx+aKz+p6ak6GFb0zhTZHmWiD3dbW2LNkMGJWHpBR YSKOdnpNgzf+/ZWebpkqE7Ghd5m7osmQx5liEQtM1KeqpTscQwZ1NW6HJuzM kmlSVBwZpiND169g2xSoCQikkEFJUmu/9TEmyk4f9mHJweORP87YqMFE9tG7 jg7WkWHn8acHHY8zkeKWH22R9WRQsHPd8wybM9LHw6yRDJWcgSW52HlhNdEN bWRgqLZUsGri+J+5/C0eJMOkjI9GLHaRX2p1xBzuf8JTvVqLiYKXTO1MFsnw IeGd/Bj2+Wt/Frh/kYGIEUec2kzEc9Vgz6NVPJ+2d78YYDu50p56cxKgpWhr 0IrdMU/E7+Mm4A85UH0ZW8Dy4GkjMQLuckeG1J7A+d/RP8a1k4APv+2CKdjl JgH+dRIEEF4v5Fh0mMjVsDNbfS8BNT89jA5jV2jfEJI7RMA6zd/SidgeiqW9 nPoENA32HHXXZaLKls60IgMCNol1TvljC1+i33MxIkDndNLxN9goabdkjTkB jkur5Cpswf9CvPwdcHv7tCaET+L+cj9rK5wnoJr6vF4au/x0zaYhJwJ8v+4y UcN2CfxdoeJBgE+4r9l57NJfF7iWrhFQzuu0JxWbL+LeUJIvAVKtNapl2E4H orLNbhEgv2/m5w9sXo9myxx/Ai7danCawT4/cCTx0jMC4jOdBffq4fn3Nbsh GkzAwFK0w2FsbuHLeg0hBPx8xWd+ArvQIJEuFUHAUOjkwXPYXIhHjfqBgCJp toZQbIcz0nxhCQQ8CUOmMdj5S5oUjWQClvTlAj5hn93n9zQ2lQCjZOuBCuy8 H2G2hhk4PqVDbN+xOd0yFFayCEik/2lvw86No3TaFBAQcSPIYwSbQ331I2cx AU//XDw4i23Xt+l2USkBrNuuJSxirxc03CnyhQAvK4Xb6/SZyDbTdaH6KwEt iytUbuxs/YffvGsJCFGWWRTCPhNQ5NnaQECyfR//TuysHe0a/k14PcN8RaWw 2ctnhBRaCeDkzGiWw7ax5hgfbCfAszNQ5iB25sLO0uddOD7O//YdxmYLVQtW 6SUgKtN5UBXbWt7q3GQ/AdsbHh3UwM6o91J8O0TAKesHB7SxWV1erNclEzBs 5N6ni23F+rFvkULAjnh9mVPY6bFV6UmjBDCVFHefxl6rOuhvNkFAPXP/N2Ns y54lU9ZpAspyTITMsNN8BPbkzBLgb5DIaYG9hl/utwODANcwxY+W2BbpOo28 8wRcN+SnW2GnnnT8ULFIgP5xXbI1tqKsuDr8IqDWTtnHBruCh9SPlgngFh4o /WcdRozfsVUCAgI0iv65pd3uvy8sFKj/6uX2z9YFovkarBSoHbnZ/K89IrLf pIqdAu9+Xpj815/HrSj6cQ4KFLCrlvyLZ97OOvjrBvx/fi74F++dY5tktbjx vVV00PffeNbt6v5ezUsBqZ3lLibYIewRLtoCFDDbVMBlhL153Iy9VogCBoy2 CwbY8fWCCSf+o4BR1HZvPWzZ9LZjdZspsLicoKSDre5ldPvbdgqo+zwZBOw6 M94tJ8Up0KW1XKmCbaTcVPh9FwWWNTqslbEd/+jP1UtR4Ndacuq/9Z8a2vBK XwY/f2av07/88PnyXf6HHAVOc7F1/MufJ4913BsPUCDZKaxNBJvPbR2H4SEK UP3tHfmwo/RrkpqUKfCgnZrC+W+9+DTJzaoUCG00MFvG+dsSpW7VdoICNkMl B/uxre+sLJicpMDg+6de/94H4mxZWLs+nr/bri7/3pd5iaPNHUb4Xl/o712A vTnz0IluGwooLh8TeYEd/2qeYmlHgYTsgnUPsGV9cu/3nKXARuOQ9OvY6kf2 l/deoEBkf+T2s9iOX2UVBzwpoCEm/lIWeyppqtX2KgXEVXsOimGf7NKIc7lG Ac3gsFEO7CcGUqlDvhQQlPV0X8D7SVr3rp3kBxTw5eXLLcZemNrCNxpBAQeO OxGK2OHvx+qi3+J4pj5LiGMfPJ13zzQaj8fW1Y4b+2qOAa0yjgIZvdVNVLw/ zvj6N71Lo4BQuEvOS+wR9tHnxlUU8G47E9iJ99+AwhwtjhoK8M541pRh73K7 96eijgInKvvSE7DP/dh0UbYRr7fQrP8V7MFQff31PRSIabPdvw67Uyybs3wG j/+CYK043v99Wu988aZTIHDau4IVW/Chnt/eOZzPBXTHEXx+GI9Sxt/8pACb 4uWsFOzGNJFvXqxU8AlutpfCrjly+7HUZipI/XoquAWfV/mmOqzhWlQYLVRQ QPi8DNQveiSqQwWTPXSft9i2mtIcSSepsLVswMsbe+1BLu4CQyr8tj77RhLb UKBZpMeKCjGpGwOe4vN3vMVir+glKpyR457XwOfzFkNn48TXVBA+vMHzDj7f Z7S722UjqWAltlBviF2ppmuRH0WFTxvlyGLYznJ7z9TGUsF/a8qRL7g+yN04 e2H8ExWyZYrfsWCfarjmK1tBBfujTBkvXF/c030UmzdKhWuZ1KIdSrjesXe1 3TdBhcA5JddJXK9IXNPfnDZFhazrsR252PVx/GEJdCpUJbdRtbGFlt8/Dv1N Bcm5aIozrnc+phdcusIzAnV/Q85F4/qIjgQsNguPgPWVLPPf+3H+C4yryCqN AJ95S3inPBOJD+r1JDwaAZFfjnceSDJRUJVKpnngCOjwBiUewmamyD5e/2wE LsuJ3hvfzURVXjyKHiEjIF+XZGiAfYGj7eWBdyMg7KdvJSiB+z9orfMlawQc pcq2vRJnIvkgl4Kh/hFQ1T+WaSrKREeVA8I3HxiFBv+ClkU+Jupy3Kz0XnEU jlIcH77H9g7O6N6hPArvPDUXNLHTRnq2SKmOQohrqUgILxNtD5eLUzoxCiRZ MN7Ng9eT0ZVuajMK6jqnP2viervhs3TdiwejwNLcstkI1+u225t/rWkfBcqR 6tOffjIQS3fCFbUNY/Bw9RlzbJaBFupfEFfuj4FVz5MDfb0MFMlm72MiMQ4y /hcZf4rwfWIoP35t9Tj8SaD4rH3NQOx37psduToBinXVUf1uDOSrcZW9JW4C 0kLesEfb4vY/2WcSApNwYdDudJ0avg9FZb4QqJoEi6Jlr1lOBiqXCeTg95yC eJWCPYttdMSv5yX7gGcaTqwz49ocTUcDci3tfmXTcGSOVajClo6yYkCCaj8D WSa7Iv9uw/fFTCX+basz4KTRoa9XQkP+j+LuD3yehQ1ml/TFJWkofXzbO55T NNgg9i2BFj6LAt8/chgypMHiLXcJq9BZdMFkZneGMQ3mi/+KVb6cRaJlZVkG ljQ4EbwhMDhoFgW9PFP73JEG3+q6tu72n0WuSm8ZG/xo4Oo7ZnrEYxbtDBDS XZ9MA9EhcYHVY7No9fBt7u6PNNg383beXH0W9c5Q2pJTaXC4T8UkXWUWhVjm 2p3IpkGXJus9G6VZ9HevifejMhpM6n2PyZCZRQOtL2NY22mgddHzp5rILCp6 vHS+vZMG7vMKwS8EZ1G4ylnphB4aWMXsjx3gm0X6SfJ5x4dosPHy7wN+XLOo xLfx+/0JGlSNVIunscyiCLlDL42naRB6/fOrpZUZdJWINhOn4fGv9N4+vjyD pE5dHK6cp8Het1truhZmENuajsSQJRpE/FTYuWNuBpHyVdwdftNgfCT0tyt9 BpW5JyjsW6GB3l1tw+yZGfRGjGvh718aXO/X3fZrcgb9D6O70Nk= "]]}, Annotation[#, "Charting`Private`Tag$2768988#10"]& ], TagBox[ {RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c81d8bAHCjgUKhQRqovg1JEQ15SBkZmRlZ2VFKKDMUDZVKREVlJpvM 0JFZ9t7j3s/nWnFdnxRa+h2/+899vf/43PO5z/Oc8zxHzOayvj0HGxvbY3Y2 tqXvvXPyT9bmRsCtsjV+52n/oC3k8kR/bQTI1uiYrb3yD3yrtE8v3xoJrnKO W45fWYTtnJJpUtciofuO50PZxL/QoMyz2qQxEoSO7O9ym/oDnoHjF4O2P4NT 31UyHin/gZq/iVIdbc/gara8QteK33BZ4dajv7ujIKth/00Oj1+w0ff8zM6g KEjeVazKNvYTLixszvXeHw2HHc/EiQ8sAHXgUtWj9c9hoPmnjN/LeVg9++zQ 1gfPQb/75mXzhTnIP+D5TJ18Ds0PM2cU786B5RWDebejLwB1+88pbZqDLCZ/ cdX4C3AtLgz9q/ED9MfvKjifioFnAkesn9TMwu+djrFPY2LgkXZW5m2XWUi0 P7VYOhsDgzmlB2IFZuEHwV7OHx8L03NESpfDN7Ba76lRwIyFAqMxyfVi3yB6 0Eclf/EVCJdku1nvoEBZ1DRxyOg1ZO0/r3qkdwa+mskv58p4DeU9cbPxYTOw ZcrbNmPfG4hVMJFg/GbB5QtyO9gG3sCrrJ4+9T4mVN1N6oxYGQenpdaeUjNh wsYUodu7ZeJgeYlCVlrPFJSPfhvVD42DeMMG2jnaJPQIfDNGL+MgeVL+vGbO JAjYZaUkHY6H5K1toT7cX8Hh1hbTo3bxkO7g5l0ZPQEl8Q+5mx/FQ/g4/x/W 7gmwo7s4L4zGg1yohu1HvXHIt9wlqRmZACfuB/B354+Cr1CmGt0nEUz1w0s2 1zLAxDQua4ZKhDN2E3KPakhg9RvyxIskARd1reOWBwm3LbnsDVSS4Mba7+Fh EiS8t70sUhCRBKOrnTmaggngcz0e4iufDKKrrfINDOhQfbPXbIX/W1B1p/N+ kx8CwnUdSy3yLWyuSNvZNzYI5ssf5hcmvYWUT2h3RM4gfLujtOZC01v4NTnn Vyk5CNsevq2u35oC09We/Gn/DYBflKf0k4oU6H07xtkm1QcH09euEOVKhYMz U6cK/brgi1S1daN0KvgwJrf9WNUF1jleJTdMU4Hkju42jemEhwXDV+ipqdBY ffL6rfIO6BUZ9l8/lQqL2Veawtd1wHh5Rn+ydhpwLRiENK9rh1edGjkHnqbD DCEyWE9rBg7fA2lhgZkgeLvXO0S/Flb9CzJX25IFdpy/efSfVUH0BWNLSdUs MG8akmqnKmF7h6T1WtcsiHhSwPdOpxIU33Xb9pdlgaRaC7vS6goofvcsv1Aq G3QPCd85tA8B02CqVLMpG3ZNc3yL+JwPe5zFc7j35IDqgy0bFbuywSglqt6d NxcC61NyirTCIcbippaDWC4o6Qx6nAt4AITApUaTQ9gq6J2uezBc9j/RfNwi F9j6yuS+CNjAPX1m28oM/LyTEWNfYSgq+Vk0uU72Pfy98XTnd9sEVPbnRN9L rfew7Y44dOcmoR160+OV9/NAmotWX1dXhEQC1I46xuWBEld1bWJ2MVqT8eY+ T2EevJH7Ubs68gP6xWUgpUfkQZEcSynKtBS1lBe6Dx3Oh4V7et7L2xAy9v54 X8UqH07GlgWseluOfKSDFhdG8mFX5kaez8qVqIlfSEhKqRCko7KtLgd+QZXH L9m3GhVConJhdObwF1TkUlPg4VII5g5xrhcU61BCrZdpybNCkI0LWm38qw59 bLgkGJheCHw/vFQsjOuRV8DgK3VmIQT6SXXLXmxA4qzk3bYvimDKVUyA80gz ut50BKK/F0OHzVctGWhDfFL5I1+4PgDjwLT6N7s2JLu9075V9ANc8xeokQ9t Q61a//VanvoA6McnBanONrS3Xsh9x7MPwP8y3PquUzsarmUl58qXwJrAZRnp dzqQ2qckvkafUvDIFrKvfteFhraJ5S+GlUKN2a6qD3VdyCMw5px0QilUTpwx CZvsQsfKEp+Y5JTCpdv7Qlw5ulEcPE15Wl8Kx64JrW+V7Ea/ywJPmImWwd2x lwH1Gd0o68O5a2NlZTA8/7Sp5l0P2pC3doidHUFsa8NG3ft9yPzBb0PGegR+ ErKrx1P7ULzdSH2NJAIW/aqIdV0fklxXXHzfBEGRJ92Z4upHxYf11xu5IMjJ 4Vb1k+hHJ65ZR67LRqAbtmH2VXA/kosxTo7YXw6H7ho9MLw2gM5bJlukDJWD be+T87dPDiGTxleWQjs/QVjDrugsaggVECoNzQoVkGx7vbikjoa61IOoh2oV 8Prwshvc3TQ0l/lxvZZ+BVyUWblcm6Qhed8j5z87VgCRpBiZ/5uGigT3z5WH V4BfgpwBnyQdOeS8EcxMrYCzETHc11XpqPikyLbc8QqI975y52soHZUmz7hH RFSCq78Md6oygQrnFzbpn6yCWy8Jl8csAlU4x24ynaqC1HVenR2RJHo/4eJi OVcF5YVEl9prEiU6HS2xZauG9OJct7wUEoU4dJu5ClXDlSbrxz4lJFK3Wfvi lkI18CHtIyU0EjWbhmzMfFANHHpeWkJ7GMh04YvG99lqqPap98gLYaAB9Uvr OPfVgLeVYoFBEQP92HmcP+NSLdzclhhrXDWChNx0PyR9qIULxi/veP8dQc// //kCG34HzP2yHkMcP9PWbNpRBzfYPgfd+TyGSgip33vC60H/U3WJQu44kvtn XWCQ2QAr3BtYO50m0OYRn42MpEbw3uXLyTY7gRqCZZtq9jSDm+K72U2NX1FG y37bO13NIHHflL1AbBJtfTz58910C+4fDT0nxKaQl6bpTV7BVvDIK3fuV5pC k/PDQ53SbWDCKC78d5iJNu/Ta/XVbIPw2LcaV7SZKPFrSR1fWDtU2BOcAyen EYcyrZkZ2Q43fwo+3nd6GvFtfstiMDqA8Fe4d0uShYq02vU4vneA/qlvemGH WOjBhXyHN9u7YJz/afSXSRayEGrhe+fYBb5lsl4vVs6gOaU0hlNANyzbWZp0 U28G6bqf9T062w3zChz2LhdnkMfBqrz1lT0Q4+X5tiBmBr34f/x64cl0bLnG 5xk0nFl1v1WsD7Zw1l35Qc6g4Jdi9vaW/aBm57f81iYK/XbueLnbpx96ePms bLZRaK/yykWHkgFw/HiRSehSKDs17b+e8gGwN3HWS9KjkKyQrp5GzQC8jb0k 7ahPIYWx6MS9rQPQkrbJesKAQjoP92jOjA5Ak5NU6NhZCl3t1Y72FhgEBbZ3 u+vNKfS6IT5XRXUQSL2NDuG2FCp2izj44MIgaJUoRko7UUgtXswxZ8MQfHe9 3u7rj9eL5ttZIzoEF14vMxS8QaFtYb8ZfWJDwLx7yikV+5d3p80yySGolNTS 6g6gUIbePUtjpSHgENdeLnmTQoLslNFfpyFgq/+m9+k2hYatyk9qfBgChkws d8wjCr1baZZrbDwMQp1E/p3XFLq+2Uqcbj4Mb3JYdhveUMhGV/rswPlhaNlp viMcW+cWe2i3wzD02yXdWh1HoZ0TCVTjlWFYuLxDhC2eQh154+UfgofhUM2x HCKBQtJaV60i0ochLyr2ReRbCo37hMSo/RmGUFvadG4mhb6e3esUx0YD3q9G EWJZFLKeEeTYykmDMFXtvkfYmhIjh0S4aCBsK6jukk0h8Xt3YtcI0KBF5HDG 5lwKtRg2XPy7gwbhtOdZV/IpJDlltKpbmwbJJo7bWkooVGSohUJ1adB64LD5 sVIKqZSdcFc0oEFpdcSeZGyzsP39SSY04LEwCPApo9A9ae40D1saBO99umoL otCoR+lpAW8a/Fk0rdKtoNCbv+Kh2ok0EK04Y2n/Ga/nIKzI/pYG+YMKIpXY hU383/Le0cDoWpbLti8Uanr9x1Q0iwa+m4Kae7H/KnftniymgWSQcaxaPYVk Hln95WykAaTKepY24ve5fe/L3WYaKEnl2fM34fzxz3BV/aLhuZg8pdtOobay 0Dsaf2kgZLIp4CV2+MUdK5r/0eDkx2WWo9gCdWacfcvoIJssw+vbgR1S/ZfF R4fRoq8H33RSaM3vF982SdAh02QitbebQqvHTg24a+I5bbarinuAQg2RNLOf 2nRgZCZ3amA/OOnbe0OXDhsjNcLuYa+Kz+66Z0SHJOr0/MpBCvFYbGp9bUWH ujiuVLYhCnG1z1TXu9PhhkHpG/owhZahl1kSMXQ4GtCnYkNSqE/hpPrwKzp8 lTIdfomd9WGK9iKODju+xq3rxDYrOC4g8JYOSm00fVUGhXIyhj3YcumwwuG4 wPYRClnGSBwdrKXDnNTz/IZRvD9EGtqi6+iQd4G1gm2MQtzRHi6GjXRouqb+ /SB23tPqmPo2OoyPnEmIwl513/Ff8SAdytY2GJqP4/rwTqt6Nov/n4nI+vYJ CoXNG1joz+H48D+QZvtKIVvPPz94f9LBrHb/uCQ2n5v2fyGLdHAoMd4fgm3v xLrnzk2AnsGBrQcmcf1/J+KleQkI0tCpdcIWMJY5o7uVgGzFPZHXpnD9d/SP rRInoC3C7n4sdpl+cGDtdgL6Bua2VmE76XTmKO4h4Gqwy/Y1TAp9PHVdaN8h ApT5H8YkYLvIlvRyaxLw6oCBadE0hcpbOtOLtAmYNo9O7MFed2kmwFGXgGtW LeEL2Chpx85qIwKkjp0zkWfhetrw+GqgNQEzn1PvZWOX/LRbNe9JwG3D+0+f zOD6eBYwlORFwNSO9+vSse0Pvsgx9CXAJ7j9WA02v0uzcW4gAQZqih4/sW0H jiReuk+AR4Nf1DkKxxfxHWe8IeDu8Qf5fN/wfj63e83TBAIc5ItuSGDnz6uQ yskE/PnSNyWPbSXtfe91GgExcieKrLDfx5GdZgUElC9q86ZhcykupnAXE3Ci kvhXim3Rt9GvqATb/GtUE/ZKQR3x9Z8I+PXqUdEM9rngItfWegLkeofLpGfx +b2tXTmwiYDA0aJBwF5exhTa30qAvkxAgg521g/xkgddBLQfXiPmgs3p+HCl Op2ABfHJkdfYJpwpfXMkAavDOuXSsTNeV2QkjRKwrX+HVBG2cc+8AecUAUWj MmuasdM0bN58nCOApzE5YQFbVlJMEX7i92OXvMv+HeeTj9aPfhOw78z2rTzY Le0WGz6xkfBr+Ss7EWzTAtF8ZU4SbLTkBcWxieh+/YrlJGTbuXvsxv5uYRpW yUNC+n3OM/LY/kobJU/yktCoffnzcewVEt1fqvhJKFXP+K6CLTxuuLxGiIQr G5rtz2DH1wkmqG4g4Y1nXaohtmRGm1KtMAl+YrXxptiKV3X9Pm8hgR1m02yw aw35RTTESLATOFrmgK0r31T4Bd/7Juayg5yxe4UfGp3eSULdY9ufl7Bt/mjO 1u0i4XCAxXY37Mkhnieae0kwN0/l8MD2+PRFqmEfdplRxDXsxYS7DVrSJFge dOn1wr5zW8258SC+Z6rOtfpgr7mwgkvnEAlsgRw3/LBfaFYnNcmT8Mfq5aA/ toRUsMqZoyTk2jTM3MBOX6NCb1YgweHfm8IA7EOz7AG6QMLFlO0HA5fi31ku 2qpMws56G+slqxUFfNA7SQJXi8OJJbe8UDRpU8XxEVHoWXre1P/vD30NEp5w T4stmbAqfdquSUL03J2tS+u5nPA9YKhDQrjcutal9/u+/Whzhy4JXsJxcr5L +Vn586KRAQlOX+V0vZfy87WQp8uIhEQWffN17McN11LOmpAQ4Zzxeik+wlmH VLvNcDyjEjuX4hf/5DtpbEECR1Ybcl3Kl8f7oB4rEvaQJyxdsPPPXt1qaoPj Z8OW47iUvyMHynrtSJgxWl9ku5S/TTNmZo44HsQjd6ul/C1mLvRdwPn+z4s0 W8pXpaTsgCuurxOfaLpL+UqabDV3I+Ga0mFXTWyNLuU4R08SzoopE8pL+dHe lTbkRcJUsIv+kaX8SI+pW/ni/4Me5x5cyo9A8uiwPwkLy/1r9y7lo1tCnH6T BJ2QLv7NS/n4QKDzISSEvjBVWbeUj5g4C+IOCX3uzXt5l+J/futz8gEJXfMf N/3B++fHpMia0WckqI4MeHVhR8SO1cY8J2G06ua1emyZM3kBBjEkvp9qiZZj u+Vqs8rjSOj2CbBOwWZ6BTa9TCdBfG6swQP7wR7t2/pZJJxZ/h+vI/beAWFF 7lwSrp6d+2GCfQHeZ1wrJOF9ge+nY9gjy0cf6FXg/dn/XPkvPl+CC3NPclXj /fS0vXYKW+JCwJ+PtSR87+ea78c+37DxomQjCTH6L3WLsQfDNTVX9pDwkd5G Xcbu3JrDXcbE+2dhzUIDPi89Wv0/uc/g+lovI1SILXjrtPeeWRKUWsT73mDr jZLjUQu4vj+/snXHbkxf//kqJwNmTN1chbCrj/jd3iXMAMNNua6q+Dy2m1RX HN7EAJH72fv2YnPGrpuL3MKAxlz1KH5sZbYse87tDGBz8HLuxud/WQ395JAU A3yQjIAtdr6BGmfESQa8KP7l5oz7x13NohBRNQb4UzG8WtjmKru5kjQYEPY8 0GofNofMKt4CHfz8rMxOFu5POgLN63tMGPB21krpMvZ4y9k9opcYoBvllH0e 9zcRHQe9xEgGNKyASn7cP5mnutsloxlgc2PxyDjuv+XH1c/mv2CAnc4hp3Js h317ztW8ZoBwktTkZez3q6ftxt8xwInX+EE97t9a9Z5ekh8Z0DSQouKJ+3uA esjrvFEGuIR01ITj+aHN0slceoIBu8o7ZGyxt3tqCqdPMuBa/1FzGey6uLVP E2YYEH/ebLgNzx9Cv2Nvh/9iAJHWmsWHnZJRcOkK3wicZjEDvekUmkECZ4XX jcDaCyLbJmi4XgXGj0nKjUBm0OPNonj+Ed9dv/D28Ah89DdfycDzkSdk5ksc G4H1OpEZadgiFz32b1IaATfnS/uPYttVs0nwnB6BtLZn3IZ4vlq4LswzbjEC fmVlW3z7KCQ2eLonIWQEgjilOKO6KBRacSzL6O4IGCTv4NHD/vZW8vbK+yNQ 4/S+gge74iqfrMvjEegWK1L3x/OeHVfbo4MvR+Cxhuc7SzwPpsiYqn3KHoEr Uf/VCLRRSCrUsWCofwQ+zXdnKuH586h8cITwwVFwEFRQycfzbpeNsFys7CjM nlg1fx7bPSyze5v8KJz5GeXEh50+0iOyS2EUrI+sCHH4RKEtEfvi5FRHIV30 d4JgOa4PqivDwGwUbsbbB57H83V96u7ahzdH4SNnHFlfiOtpS/NP9vZRKHr1 rHEgjUJs3QlXjvOMQbZGdOlTfJ/4UfeQuBI0BlwHjsfcC6NQ9DJLD/3t43Ci f0X7T1e8X4by4zmqxmHs04cPMlq4v/sHGR5xm4BxpMGnLk4hL2W35S1xE0Cb b/tybh3+/XeWWYTAV7CwTZ5Tn59BV19kPRSo+AptvE6H71fNoLK9d7nWuk5C S3H6jeiwGbT29FXJm3xTwKsh8TrOZAYN7Gtp9y6dgm/2UjsPisyg7FewnWHJ BLYDCkRIEb6/Zsmt3bzIhNmQek69wywUGBIXNJA6DT6WyU3ZSdMoY3zzSz4t FiSWjJ3pWTeN7saGWA/psGDbLu0UVcFpZKfP3JGpx4JoK1GfvDXTSLS0NFvb mAUvuNhDw1ZNo9BH52oe2LCA5rDtnAL7NHKSe07xeLPAOTCi6sYUE4kHC6mv TGbB2WK/ilcVTLR42I+3O4UFwb+2av1BTNTLJNuS01ggSlw8Y1rGRI+N31uo 5rBANoOncm0RE/3bo+8eUsqCxaTbln4ZTDTQ+ugVZzsLBsh5x8PRTFR0e962 vZMFOsLsDx9GMlHEMavdCT0sqPJs2kuEM5FmklTeiSEWjFeXdN17yEQfvBq/ BE2woGCch2i7yUTP9h16pDfFAsVIq06JQCZyI2IMxVg4HmeCT3j4M9EurYvD 5d9ZYBirEiroxUTL2DsSH8+z4Og/mp2NJxPR8o85W//C6682LM6+ykSlzgn7 pf+ygBB/dWfxMhNFbV31498/FlTEljdrXmKi/wFUxLh/ "]]}, Annotation[#, "Charting`Private`Tag$2768988#11"]& ], TagBox[ {RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4lN8XAHBRshQSQlGW+ka2IqTlpBRC2bKFZC3abEUbKippk2QtZM2+ 765kqciSfRsz844hTDOTLJX0u/3mn3k+z/s873vvOefee66M8yVzN04ODo7w FRwc//7beg51dUjGQiT1nH5q219wKanomdOIBe6MSHP5039hzWz07s0RsZAl f5QicWsZSnf6RxsQsVAbdtsl/OMfcLxsseCtEweBeh92Sv73B/IZgpWNk3HQ nSYWZbNiCWyUvkl8g3iQGlbjsQr8DRxebdc2vIyH3DtXytnzv8B88v4+zyMJ IN01Q9fl+AW/t3kkPk9IgHieHneOhz8h1e3Ics1sAkisjKy1lPgJc9QV9YIp iSC88djzQliE02L+hmWMRNj4LvvNzckFiBm9drh0+RUI2Lb4tefOg+4m21TS ydcQI7/83uvEPEzZaa3iyX0NjKt6kXtn50B6JtAlVzkJllbGJArozsGlc5pb OUaSwOapdo7y7Cw03k/rjVqdDNbv9IoX38yCeKZImIJ6MrxQ3atgYzUL9fTv dPPwZBDxG2uLR99hQPi7NYrH1gwV3PrmOwi75memaadA3WGLie4UNrjfkbbV cU2BU8rafYOObKhOecTb8SQF5Omre0U2scGV4uW5SE+Bnba3O1fGsaDUcbuS 0Ys3oPKqu7X2CBOui+TpU66lgmDRHmk0PwM2tsn5LHYqRAjpkg83TgNz2JIv RTINPkYbnnnsPA1hjjxuFofTYP/zwSu7OKeh2OWSZFlUGszG9CZ4HJkCgYv7 Q69rpcPTzmPRpUOT0HR70I77Zgak/tqGxPbSgXpRlKn/IgMIp+eJH/jpYL/q UWl5WgbkrdAPqJoeh+/3Dgqda8+AByudG8wSx2HLo4ym1s2ZQBXQT9TnGocb L/3VnjVkwrGl7wMdgwTsylnHvYnnLchub3lZkEuBjypNTp/V3sIH9U/zYV4U cCoMqL5l+xayLrikCilS4FHZ2GXK27cQ5xShszOLDIOSYzfFZt6Co8+d7g1H yDBZnzucbpINd/Trb6c5jsGrXsPCnc9zgJt3zXHbwmHgvL4z+3FwHvSnuMhe KOsD/r8h9vrS+XC3anpkULoXYs5ZOyodzYfHy0jQHvWAfI+S07qL+SBu2bI7 26kHDmT1uwzX5gM59kVpalo3VGZFl5arFMBi+xO5Mu0vwLCYqTFqL4C26TVM Mc4OUPSULeRVLASvRC/lqv/a4GTmy1bftUXgt3NM9YhoEyQ43DZ2lymCGMlq yvrgRqAKX/hss7sI9kWu//Rt+j1cunmoY79DEThJdZvWNDfAA3PGl9W5RdB5 wrjc8X49VP+smBbVKIawgt0GF5sqoXbp0FC8cTEEJ0b2OfhUwFazb5PvH5aA mv+85dyvJJAM0tfxSC6BLWz/4c/DiSCUm/SQr7wEOMp0lx5+iIVfPBYqZtQS SLKsLDEsewad9eW+JO1S4FCMZQryO4J1YN3Dw6dLwVADxFdF+KJraiHLi+Ol QFbPysx5lYDaBUVEVA6Ww+KayqpB61L0fv8Ft66T2A+3dA2olqEKr+YyP69y iOG9OPuauxy9aQmwrY4uB7JKUHJkQQWqa7uwPjinHNoXFDIM7lSigKDRVwaM crh894Cqw3w1kmWmK7jEVYDl0p1Fjm3v0NX2PRDzoxKEBO+4I/EWJKBSOv6R pwrkZ6wXWy+0IA35XreuTVXgSdq21PCuBXUZ/zfoeKQKeliX2156fkA7WkV8 t0ZXwUDP8g7Dso9orIWZXqRVDeQpzpHfe9uQ/rs0gc/XaiDhlO2GltudiLRF pnT5cQ30hVzLKs3oRH7BCafU3tSAWP8I6UZbJ9pbm/rMprAGzvofurKJ3omS 4Xnm89YacI1ssokW7UK/a4MP2W2qhZHIza5/0rpQftWpKxO1tRCnZWc0gL6g DSXrSCtWICBTVZ6FDPYg+4jfljQxBL+eiA/VLPWgFNfx1mYlBJFPnJW7N/ci JdHKyoc2CM76CK+IdOtFldrmYie9EAiKAV3+Ti86dMXphWgBgivVky9PM3uR ZoJ1epRqPRy4v1vZZ6kPnXFMd8gk1UMOI4ZfeHkA2Xx+5Siy7R3sf5ykSq4d RGXUw20d+xpg0vIKy/PtCOozCGE/0m8A9Urz9MSmETSfVydmbN4Az7t+kSvI I0jr+p4zHzwagHze8FKW2CiqWK86Xx/ZAEFfMrKuhIwi98Kk9XlvG6C+m2/t ++pRVKknuaVosgFu/ZDzJ5mTUE06yzcq6j2Y5Kb61IyPofKFxY3meo1gxypu EigiowbPxI22M40gb9y0fvgsBRV/9fJynG+Es1b7BHV8KSj1rE61C0cTLMcd bH52k4JC3fvtLoo0wdn6qvs7IinIwHld3J19TZATiQx4qymowzZUPC+iCSjz ezv9+KnIdvGj4Y/ZJlDgkfrVcYmKRgwuiHIpN4P4C/U1hzKoaG7bfsHcCy2w ffpL0P42Aol4m1alVbWASO/BIwF8NBT7/99HyLZy2lb4aBxx/swW2rj1E+gn nnh7bXkcVVNVfitGtkKJ4PUzK5boSPOvU5lFXhtEV5HKbN5NIKnxa+K0tM/Q os82DbGeRG13NdqbFTvAVzYp/8zhryi3U9XlXl8HXFHRck9/9RVtfjr9M+tb J2Sma3hZFU2hACPb22vXd0FkwD1z+54pNL0wRupV+wKZ5qvNn45NIylls67r Rl/AWyf328O5aZQ6Vf1J4HE3/G1ZiE37O4M4dckdjBfdUO2m+cd+FQMJSGUw abQeEMmXGE1aZKAK424zzh89EJzDUW7D+Q1FnCt1T5Lvg/1a8dPqzd+Qg0in QJZHH/DYOHEbzXxD8wezaWeD+iEoOIl28CETmfpaXdeZ7YfG58Y3NJqYyG9X Y4nY+wGQltrwJ06MheL+H79BiFS9fSLpCAuN5TU+7JIZAstYbp0bLix0N17G zc1xGEbW5NskvWah35498QrXhmFAKryMnspCO3RXL7tXj4D2o84/bwZZqOBt 9n8D9SPwdPrk96tDLKQhYmpm2DwCO7gPnzIaZqF9EzGpO7pGYEX4z3DWCAsd f6RoxKKPQAPjpLsGmYV8Bk1iAoVH4biHp1oKnYVet6UUHT46Ci1GHGy+byxU 6R21K+LcKAzpUxQ2zLKQfoqMR+EGEih+nJC9xMdGGjEC25o3kcDT9vNLUX42 2vL4N21IhgSfhO3jq7F/BfY6r1QigfLDyePca9ko1+yBo/VBEshTqJ7Rgmy0 fgX75J+zJEj6bvEkWYSNxk7X6xlWkcBcrei4qzQbZa22K7K2HgPqtFIspxob XZU6LUuxHwOVP1lxydjOpmpWI2fGgOeo9JDCTjY6fmdFeL/7GLT5yhUXYm/7 +ob9+fIYRCbArvpdbNRTMllfdXcMDhhYeQxosJGasc/pqJwxSFd5/G5Om40m r4Um6C+NwXD03gHaQTZSmjnJ329ChpRWnsDYE2xUYWmMwk3J0L4264CwKRsd rj3ke8CCDHo8ZpHh2HaPVYfTbMgQtlaOFmjGRg/UeLP9XMhQFFqhYWHBRnS/ mmPCgWRwT3yfxLJio6Q/suEmqWRgWhvZ9Tvg77lLHFiRQYarfa/WH3Jko/J2 we8luA8w9NF0zMFuf71kuymfDAM/X2QEnWajP7p9CtOVZIjZ0bFW5gwbqT85 /YfrMxma3MIdWS54PGEPPt7vIIPu5ub9J1xxvAVZPI2/yGB5i6PP1pONvtSG 3zP8QwZta77iAuzI81u5O/6S4THr6K7VXmwk/MmOa2glBfyvpW4o/ufQpj9M AQpoBnEFc19gI6Hfcd83ylEgdLilP/4SG62ZODLia0QBZxe9rSF+bNT2gmz3 04QCK6V7z7dhR+hdH7xlSoH7gpM2G/zZiD+loO/BSfxce0Q6B5vPYWPX69MU iNjKdum6wkY83aymVl8KOLabUPkC2Wglis+XS6BAKoe0os5NNhrap2cw9ooC dKu8G0HY+VUz5LhkCoCmlXsjtl3ZfmHhDAr4BRz6a3yLjQpzx/w4iihQ8pcw tA1iI8cEOZ3RFgpwyYxZOobg/AZmN0bPUuBQqXyPZCgbPV6wcDCfp0C29tVd Ftgu/ktza39SIEn2huJDbAFvk/9ClynQ18qY+Intdpb5wJeXCvOZKXFfwnC9 /aCmqK2lQmnBM3+Jezh+1uonTDdT4bHpe9bl+2zkpVE9yGtEBdm801/PPGSj +s7enAoTKjis7B+IwBa9wAryMKWC5lXBs+XYKG3rtqaTVPh1ht+dPwLnc8NT n2AnKkSrylHzsKt/uvIv+FPhVuDJKeIRzk90ECktgApb9quTeB7j8e2KK7S8 ToW+7zM+ytiCXh3WRcFUWFO/J8gf22VkT+qFh1TwG5XauuIJzg8S2E9LokJC 9aZS7qds5HRKQej5GyqsrG2v24pdunCY0E2nQvnGS5562KfVAh+8zqZC+/m6 jGDs4mSi166MChZLF2p+YPMcWM7kraRCFDrXL/SMjRyGxG9UVFPhLPdQlBL2 6vXHZcXeUYEVa7fgjH3qbsXFrlYcj2vZ9q3YBVu6dYPbqSCksfERDXtVLUNE tYsKPHF3nP5g58/JVkf0UaHnaxBLOZKNuDwerTagUMHMkVkWjp1t6JxUN0+F G15907ue4/1LSeYA/MTxmZfkOYJdJ0AeRr+psK3PtMcKu7PbYcM7DgKC1Bpv BGL/cLB9/J6PAEv9nYLV2DcPiivprSVgKvFszidsbrn+j42CBDRMLfwcxJaY tFzVLELAfWOz9AXsAz6mNz5IE6C+z/yIahQbtVgKShrKECAekOO+D9tUq738 oxwBLcR7bUNs5yWj2U/bCfhy0555BvtemL7n510EiLIiM55gC53j5jm+mwDn lbtN47DjjJrS2rXweLcsZqVi5wgdpnTsI3D/Iexdgd0Zd8Dmy1ECKNd+HB/B tr35Z87ckABpl8UQGjb1dM3zbiMCbnQEuc9g/5DX6egxxeNZc0zvN/bN1T/P n7QgIGBf2n7OF3i+U+V8fScJ6M4tmeTBlsjffbTfjoCCgS2Wotgpz34Q1g54 /s0vRDZiK/kVhwycJqDRkRm2BbvUymezrTMB7nl7srdiH9izs3bQlQC12uAQ ReyWjSw7Ow8C0h518qpimy7nLQ6dI0BEareeOrbzeyWNkYsELFqc79DBnk6b 7rL3JuD3sNWWA9h+999eGvXF8aWFyuliG/bpJnv4E5BeoNt+CPueyfZsUgAB VUvkg0exhdQmDE5fJ8CrUf6UAXaccDp97CYBEddG/juGLTfnetcpmIABxvoM I+ycfjlZym0CZib6Boyxd1dR0ZlQAo4o76w1wa5LSHag3iPA8KaK5XFs/SCn 387hBOhFDiX+c+eZzbFEBAGXZHTj/tlWj6Tp+oQA1tAFw3+mbkvsoT0jgHTu fPa/953ntfdxiyLgkJ9B/b/vzU1LCtGjCdgUv/b+v/FEJU60JMQSkBTvRDLE Vj9REmSRQEDbuv+G9LG/cIRo8b0mwLru0vUj2N5FJsz6ZAIEThk2/IuHkKtk xtVUAobjGvIAO190wlElA9ezwtTBfdjHW4rFxrMImMxpD9DGZgQEt8fnEJDY cMtKAztC0STMPJ8AC07eoX/52jEicYC3iIC3S9e5dmB/ekSfQyUEBO6lf/mX 73NQnHulHNeDrpXBv3rgYQe5KVcR8OnhkIskdkaKsRSthgDuJyFbRbDHV9Ej zBoIOObvHc+Nfbe8SI+niYBImf4Tf3F9yp0LWqprISBOIvbtAvaZNvHzSp8J yNrtZTGBzXFrXI7oIMCV8TKZhP1atWg49gt+n7hddC/2aKSR0eoBAkbS+n0b sG/oiXPVDREg65Fv/2/9bJynVfmN4njanJzJ/bd+bG8pUqkEzOvqccRg924u 5K1l4HphaC15YPt13XznyyJgWoZf6hT2+jvHAhVnCRBr3jRugm1GJyZfLhLA wanutQv7c47YBx8uGsTY55v+2y/OOxJBCtw02GX2K2cCm1+oQIvMQ4N+q+8F /diGvoYZJgI0uHx+S0EZdtOeG2HbJWhw8OBsxGVs12mDA2MbaaBzbut2R2yu RNH5F9L4ea63lxG2Lke+G5c8DTiiHk/JY9c2U/RIKjSwIZm3deP9stRCnytK jwaftlUqyGDfN6oI3aRPg3n70XE+bPvDCjxphjRwLpO1+oH3X051/rVlx2ng 8GivRTP2ceEOsQEbGnQQHfXu2JOdVoqbLtBAnKvJJxafB9UfWnJSL9FgqnvW /xb243ptVWUfGqxMmVF2wdYokNQ4cJUGQh1uNTuwQ56Q9juF0KAuJcayEp9P ksfdzVJf0CDMjet6Mz6/GEf6u5ViaHCsK7MjHbt+v4FVaRwNGl7VDIZhuysr nmp+TQPpMWuBo9jFa765TmbRAMKu/qrH56Vxq3+AUh0NXMdlJjLxeRpkEPq6 hE4DQ4MAa91wvH4cz9qrfaXBWzONfRLY8v5GEjnTNNDKujLEeoDrO3nd8zcs Gph6Fx1+jS3yOzEs8heO7yDnp0V83mfmll24LDAOma6k3Fe4H2AhYSsJ0XE4 WBE3JoPdKTy5V0lzHLQLAoXK7rKRrELrYob2OFycA61QbH/IK5XbOw5Js+ni ltiS5/1UNx7E9g/kZ9/B+W7ikOM7Ng6X9bYU/Ye9eFWCb9JhHJalJ/ju4/5G ZvTYwJvQcbDUU98qivuh8Ia9+Sfvj4Ppx6cf+3C/9D1DKWz1w3EosrkhFYPd 4COg4fV0HO4e/q9HAtuV58uTXfHjcOzvt5sSN/B81G313xWMw8po4zbea2yk Eu5RRhoeB5GCu/F5uJ/T0bobJbGLDvdC3FT5z7NRn7OEZqIGHbT1Pj2ow/2k 7+O8/i1adLjCb5LkjZ0zPiC5fR8dglmfVvTjflQ6SjlZ8ygdBlyuv3x1DtcX uy/Xwo4OPQogIuPBRq1vFVoe3abD4a6d92Zx/2sv3fFzRTcdZN93TnTg/lpA wqe0uhd//3NVuif2u/Wi3v4DdDDtWNqwCnsb76nJyVE6MG9mr9tzko2Ys/S+ jkk6RAukOyfifv32x+XixGU6PPd/edsa9/d8/W8u7+ebgAoG/fyD43j+fioX 9yhOwAvp0blnhng//vSIejlkAto3ygfK7GWjmJWOfubykyB8L2uBUwqvf1Jp CmfjJNC2rbaL/M1Cq26GWO7x/gpGizpvuLpZKEDXe1Vn8lfQgRXxvs0sxJHl mE8VngLGg9/ntbLwfS0u/5FwwxSEFQatL77KQrU77vOsuzgNnDyvhyiHWGjd MR+l2wIz8PWsRPPXtSw0otzZHVgzA+W3VdGfJCYqeAXyNEcGqI+0zH3dxkQO +ZrrpJYZsMR1bswh8xsKDk0OGXn7DXYptghd3vAN5U5KxQsYMyHOvnK36AMG up8Y6kQ6zsT35Rau8DAGcjVnbM0zY8Km0IeGy3cYaFNNTYGJNRPo/fv3jd9i oPAnp5ojnJmQw/O8LsePgc5qxrL5AplwJV12j6wTA8neFTFYnc6Ei7nbxTI0 GWhZ+8ba/kwmnA0JHePTYKBBBvElPZsJancoWy7uZKCn1sUORwuZ8M3gNb+6 EgP9VTT3Da1hwtRLz5AyGQYa6XryiqubCT6tP5lv1uD7fNiCS3cvExoctHX+ 8jJQ1N7TCm8GsE1eLNmuZiCjNJWSQyQmkJ4Ufl3LyUBVAZ8/hnzFzz+muV1a mEHRyrufmM0wweoZr3fzjxnkTU2wlGEywWki9sem7zNou/H5sfofTLghpO/6 YWYGrVzRk/p0gQnfD3mYSk3NIHLpXk+nX0yoa6gq8Z6YQTWeb1TV/jDBWPPw sybaDHq5mX/u718mHDrISRenzqD/AT2RQTc= "]]}, Annotation[#, "Charting`Private`Tag$2768988#12"]& ], TagBox[ {RGBColor[0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8lF8XAHBRkUqyFaWQ/EqSSns6JVmSsiRbtixJUUlRWqSUXUUSsm/J vu9XlhTJ3iBme8bYhpkRRcJ7e+ef+Xw/97nPPXeZe87IXrpu6MDLw8PzcAkP z7/vusd2TY8576CXcFjbRVqEWFmqzKHZd7BszEHXNX0RNG2qH1/Sj4Xc1m4T j6oFYMfG0APTYiGZn32TLroAkQP3ThYtxMKpyWZvzYfzcGKjWTLZOA6GLF5q qE/9hVHzA8sEsuKgQ8inwNbtL2xi3bXL2hkPGWvA2N57Dq5f2b+Vpz8eeJr0 3BZaZqHeL6U7nD8BqAMuB/SuzML6dLFn2/cmABNsSCf5Z6GGOck0DEgAjsW0 z53TM9AjMmmCohOA96rtDvX/ZkDEPic95WAiiDhfnFQb/QWOTzaZHbZPhHUV JnfJEb+gIjF4RWtoIhx+peK999QvsKdddZ5hJsL97xIhBanTUGS1TUn3dRLI PPJ3sPKaAi+xbC3avWQQNmu9UbP+J5iaJeRwuMmwTCHlUJ/NJLB/nBdMlEqB 9ZMs8SCFSXhmJeBgdDIFqiWiTKXGuVBgd12qODwFnuxgORTd54KQq5qv14FU WNKP9hmlcKDBp9d8+YM0OKe4kuyoMgF0V3G21us04OQcVY6bGYeLy4KLSlLS 4FvcL3pHxzhMPj8ufOVbGmi4dtOv3hkHmeC0hubN6fBE2NN45UcW3H9zW+Vl bTq4GiZrmdqNwZ7Mtcs3CmSA+dvRWU/SMHxRbrBpUcmAq+ZZZNGAYbDJ86x4 aJYB+3w1+/3UhiG4mHKDlpEB8YWrxLipQ9ArRXkgwcqAmmXS5I17hmC4JutH qt4HENM+2nLuCRNiu3Xydodlgvfvia3HrBnA67X7Q4h3NoRRbJ3GvGiwcvHx Ra1NOZDv+d+1l6FUiLxiYqWkmQPOVxp5TE2pIN+lZLPWNQferFfY+1aWCsfe k+x+VOWA4NrcaIGrFCh7H1FUopwL+sULtVENAzBuxKrU/ZYL5Zq1jsFJfaDo LJe3QjEPVqeHzrYt9oBx+pvmW6vzIZ2/rsGc3QUxlj5nHGXzQcRBbbT5bRfQ RVxaTPflAyurcEW/Rhdcf6DeqmaZD7kNflfaYzrB33C8gz8rH56tnu/8YdQB FbOlY+KqBVB/n2bTq9YGVX/V+6LPFEByREBBfVkrbDWYGK4LLATOzEKAW9wn kHqkdfhyQiGs7+R3mVrxCYSz4gMFSwqhUN0nzPN2A/wRMFI2oBcCo+V0k9e5 emirKblFPlgE4bwip6XX1ILJ3erAk9ZF0Cg/rKYq+RHuqTxemBksgpkDJ5b1 uVfAtzViYsrHS8D7dcuE+sdUqFNzcWg3LgGZeRLZvycZSq9+Kna/WgKchb1N GZOJkNToaVYRUQLxXwwyyq1iofqri6h3ZgnUuQSq70uNAs9HA7Ha4yVwPKdq ekYhFOTYqdvtokqBx+1+EWV1APL4dggip8pAZTdz+nB6LhJSLhr8IlAONlfa hQMv5yFV+W6H9o3lcNgudY2dfD5qP/Nfr9WpcvA8U8vkjS9AO5rFbm2NKAen WAcjL/9iRGlkp+YfqADTlzae+nsrkdbHFKGWe5WQKSHfIOVRh8gyskULIZWw Lfts0qcvdcjdO8ZCJakS2opEzNZtrEdHqpJfmuZVgrpO4SsX43qUAGHpYc2V 8Jl1kScD1aO5Km91841VUBnX05TK+wnllFvcGaqqAg6jeSHI8zNaV7iWvGQJ ApsyZYGd21rQxaC58wwJBGJOZQV5d1pQov1g8ycl3H5CQIlW34KUxMvKAk0R HHzkuqBu8w2VHTSUML6KYLV6TMWmxG9I/Y7Na/FcBE9ZNspbwlrR/hiT1PBd NSBE8zFmTbUhW6tUy3RyDXBevfO5uasTmbbEWokpfIQ/4mNx/XxdqJh+8mvr 0VoIuLlo3XuchL5rP+YGa9XCDPUS74gVCf3KrpY4Y1gLT2fLugbuk9ABr0O2 ny/XgtjAmQ8epSRUKrrrV82rWpgU6rh3Q7kHOebFi2Zn1EKXqvHyZtceVKYh JZM/XAvhs1TrSPFeVJnKuRUeXgfC3cuyqtv7UMnvmQ2GGvUQx1RKOXunH9U6 v9tgxqoHCf+L668IkFHByNWrVr/qQcPGZI3KZjJKdjpcYcfTAE2szy+Z+8jI 15Fk7irWAMc1I5/L2ZGR9qW1UU+O4vao5cY9lWTUaua7PjuoAe4pnZzVdaEg s5kvOlM/G6DwxaqMJHkq6td2Eefb+QlKRIPcnWypaFpBbU2WSyNs8xv0ZSfQ kNhN/fKU8kagaRA7vwzS0Nv/f75AxruzD+YCCcQ7+0F4w9YmUDrwhjG1nIEq 6Mpziq+aocChX9RIahDtX7QpNsr+CqOR38ozOINIevDeekZKC/xkCUjqhDHR 16eq3z4ptoL97qgNla+GUFbbLrvn31uBYtR6wHR6CG1+MTb7fqINhC/6qOzb PII8dc18Vou2g0iAvuTQyRE09ptC7lbpAJb/nkUJ+1EkvdOg3Uu3A0RjzW0b vEZR8mhFk1BIJyx9LjLqEjWGeE9QW8dfdwL7iJPF6/gxJCSdxmYwuiDiQCDp bioLlZ7pNOCd6oJjTjlinFwWCrpS5Bgv/x3Ed1jofH4yjizF2oTeX/4OwYGy bq2Z4+jX8Q8Mp0ckUF/O7uI3nUD6ty54Hf5Jgg3Hs3mfR0wg9z31hRJ1PSA4 da05dzkbRf1//Xoh5oWg97lrbETJrg9sl+2De8rXz5Iy2ehptKyDg9UPqItZ xx+9joPmnLuit9/7ARQdRoqhNAftOMG/4FjRD5SQVJ3SCxyU8DUx/6TmABx/ fWsv3zUO0kqUvZy3jgyOqse2yARxkGqkkMKnjWSIz4vlJ2HLhMwx+mTJYLJ1 4+3gYA76c7f70lIlMtyxYY3NhHBQloG/lclxMkiYGp1peslBoku4xvNOZFA0 Dfx54Q0HUaxrNHTK8fvuROevT+Sg9/zm+SYmFMgyN4sJL+IgD2lrOdpFCuTG 2blrFHPQJX2VC/22FFj4nuj3A/vskyUBJEcKfCsr3e1WwkEKI0nclhsUWGXa ph5bykFdhcM15U8poNXlY8ct5yCVM27W4ZkUED15uegJ4qDhe74xWn8p0C+9 /IzZZw5SYhmvJOlRYaFXMKGlh4NKz59BAfpUmOOMaxr3ctDJKvVbx4yoQB+l 3u7HNg/Z9SMF5z3v387XR/o4yF9lxQd3Oyowlh7pmu/nIKZ75WmRu1Twdf/5 QJjGQfHzcgF6yVS4lklaRx7G4zlKHluSRgX7yCkJkxEOKvm2ZrLwPRVW7UxL bMX+FvfXbGMOFcxFDtugUQ6aP/F9+1gZFbSZqzzesjhob6j1PF8LFbT2muz6 ysbxPPP/4tdKBRnSkOJBDl7vNRyB+j/4/bIh9jK/OaijKuC5zjwVah19Vj7F fnVt6/LWRSrsCW/TH8IWaTLn61tKA94LLcWZM9i+DfNsIRok8/hP7vnDQcJz UZMbttCAX5x1eOc8B60aOtV/S5cGv/tcY3p5uejra6r5rB4NHvCw9+3m46Ig Da/eh/o0OPJQ94Yf9srE3O/+xjQQPDXUuG8pFwlabmiPs6aBvPrnpUHLuEig k9PQfAs/b8D3SUGAi5ai6JwtMTSwXyU2Jr6ai/qOamhTYmkghxw2OmHnlLOo UQk0qCFVUcuwzYvVRETSaHDXkSx3UYiL8rIo7jz5NIj0dw6NXsNFVjFbDg80 0iBza5f0chEuKr37oT7iJw1afTOzAyS4KOS3kaXhLxp4iq1yacW2u/13evUs DQq5Gh9F13GR0E29/3wXaPB46u2OaGwHJ7b/rRV0SFXdI5iynou6puiJKqvp oHzy1Ju/2CIme8/pb8bey8ObIsVFV1Urelfo0qHn6N8bFzZxUU1bd2apHh2e eXCEg7HFXTiPLuvTIeSynF4dNkrZqtBgTIfIxaAo5c1cJLruhZu3DR36NkcF 8shwUcWs/crft+lA97MkvZTlIuGIR+QUTxzP0d0atdgOe6LyznvR4XyF+9lJ 7DVXW03yvelQYRJxxEAOz6//ULJLIB0Sq/TvCW7B+4OE1BjxdFjaOfLWWZ6L bCy2C4cl0aE6zJMZjl30+yRxIpUOer/j2quxrVXu+sd9oAMrYcnTtVu5qCCB 6DYvpsPwzdUW+dgWT0td25vx/ALW0mkKXJQr03nC+xsdfqekyCz/j4uWVY2L 7WqnQ6Px5MJ27JxpuYqg73RwhL9RN7D5Lgfza9PosPgLGc5if9C5FF/9iw7h q83aZrZxkaqS7DGYxbZ8ukp8OxdVC1F/oDk6eKtSplWw2zot133kIWD9IYu2 y9hTlmYhdYIE7AnhprRjH3PTv/95EwEXEjIorxW5qPH8GikdWQLUNU9PZ2Lr H/hW8mULARuzpkvrsC/91f3ZtI0An9mU0xzs58+0nFv2EDD5hRl5agceL+qY aYcmAeSQNBYV2+zB/LShDh7vtcHIJDbdujKsU5cAauBA+FIlHI/84dYufQJE +dtmFLAlc/ZpkswJOLw+dPoyduLLKcLEkoDqrFJnD2wl94LHPdYESEvsDH2G fezQ7qpeewL6Likyk7Av1Smp9rsS8KaO1tKHPZYy1n7xJgGB7K/VQ9g6308k XL5NgHfKo7457Od62z6QPQm4aM3OWbUTnx+VIW1rLwJu+3Ks12NHiaQyKQ8I SJYloS3YmaQtcjQfAixznocewt5XTke2vgR4rLq6eBK7OibBkv6cgK/FjpvP YrfZbn5LBBHwO6j3ui329JiUMDOCAE81ofNPscPfDTXGvCWg1+jgRBD23nOF j4xiCJi6QFN8jX0zX49dk4D7f2IHJv+Lz14qzSOZgOZJ99wP2DniQ1bKaQSA f6lHPva4p/e36EwCdsiWT1RjBynqPTPMwfuV8ia2HntHv+SxFfkEqEW5cb9g NwUzp1EhAYrZ5kPfsK9AQdadEgLS/ay9O7EFuI8cdpYTkPnlRSUJOy3xjDSj Es9vxUL0D2zN85LdUYiAg33FmyjYg8uYQQa1BDTWN2nQsZ+W5GsINOD56OoI DWJvufLob3UjAazRE15D2LVSZwpvNxHwTLw+cATb9uv6a0otBOgfpMAYNs/D wS1EKwEvShPfsLDjduX/eNtBgPaUdNg49jHawzD9bnxe1G32TGAPvNLV5e/B 7+d63v7n+xrr+ar7CMjW9bj4zxt+McrdBwh4+8J56F//8rQ8tx1UAqL+2Er8 s5nZQ0U6nYAblddG/o0/I6hLjxwkIH9JlM0o9pvKdVHnhgnomJjxGsbe78ow WD5GwH8JkUeY2N2b81ZUjRMwpOwXR2C7tz/4eItDwN6072lUbNEnp+8q/iRA QiTs/AB2vuq63bRpAoJufE3pxTZgEsNvZvB+Vb6M7sbmvMmNPztHAH2Yu68d O1TngemyBfw8bc79K3ZLpsRnNz4GaNdr0z5iX7MiHm1fzoDtdu+FKrFXCuce oAowYO4Am1qErXNLJ01PiAGR8Q7u6djD8hLWS9cyICWvYF8C9vPvdIkKUQao /pSNeYvdcOj+s22SDPArfmvqj20/pn2MsoEB9x/WZHtj870T//V6EwOs+NQz PLBP8OQ48MkzQNg39KU9NjXPS7pcgQGeLz0fmGM/stPuvrGdAYt3fwnpY1d9 ommQlRnAXzgqdxj7omf23/DdDJglP0hRxp7b7lWoq8oAbiSlRQ77ULCYfNkh BkzKaQsLYhcZafGFazAg77eaZRf+Pfvplvpu1ML9b21b3oh98eR2gRQdBkQ8 H7Apw+bdu3J18VkGOD7o3vEO+6xIq0SPKQMWGtUkbbFlBY+/tbFgQK5mtYHB v/tpSd6GEUsGOLHsj57Ajua+kvlziQGJEobbZLCH2y4obnRhAE/JsEUfvt8q PjdmJl9ngKYtSeEzdkjNwV073Rjw5JlmchG2aq6U6jEPBiiu6SwOxX4cSlaz ecyAk2kDR45jS511NEh+zYCBaJfWV/h+HT9F6lSKZEDHyqhGL+waNe0LRVEM qFn47WaP7bhT0eJTHAO2rnAnVLELVk3YD79nQOpojFIHvt/PNN/2VKrG631Z /soCzhePtH3jCpkM6AvL7JbG+aTDyumiyggDVNakjc/j/CR/W1cyc4wBIo/X Vw1gNyWsDUviMKD+wHOfGGyxuXfPXv1hQPmbpHQJ7PSsYpcbQoOgLKjtPI/z Ia6YLkiKD0Jw3A/JCOw2keEjSvsHIeIea9lrnG/ltjfPpB0chLQA483XsG9D dtGWI4Og4OjAVceWuua+a8PxQbBzi0VsnK/tG3i2CJ4eBI0sj2Wa2DMekoLD loPQ5Pf52CCuB2QHTvck+Q5C4hKltImNXBRQeyTH2G8Q9kf+TCvFnkxTesYf OAh6Fqsv+GDXugmpXn0xCEdU7cvFsO0FOkL3RA/CjQJS8r4NeD57zbQ+5g4C f4C/oJMkFykHXC4m/8DxozyHUHEuirhuGvyCPAhyIKZwDnvxvI69Om0Qgoit r4Ww2zbvwBljELKnvB8FieH7u2jCxYU7CG6Jas+einJRIfX21r/LmSDDN2/v sJaLDh94Gi65hwlfP8znjK7iou+XJPe/U2XCUZdYkxTsWyHZJJkDTEg1Di+z xs4c7JHadpQJQXLxmZ0ruWhT+M6E/ZpMeBwvpV8qiM8393uWkTkTDpelhbnj +rE5Y3tjsA8TIqxIGmW4/ry4qXV2SScTODc8eG/PcpCQpFtRRTcTyM/vqK7D /igqfvN2DxMG0volynD9q7DCYnh4gAlLjfnG53B9zP7J/N46zIRjRdWUB784 yOfLQsG7BSYoGPMOuf3kIEFS0g01wSEo95Ik1XE5KN1d2fWQ4hDU3/WvlB3n oOmmYPqNx9ijKe7hFA6KXGrlbig/DCcaH2qurMP1Orkokbd+GBrl/FzXJnHQ sgePzx+6OQLo3ub0Jfc5yPPEzWVtCSNwtPV41/frHMTz3iqHLjIK+bOfFZ8Z cZBbVE6wSO0ouKndTDbbwkFVO/wE1rqOQe2Kmj+BFDZae9pNyUeIBT2k92VN HmzUv7Ot824lC8LMTjqrLE6g3FiQZ1iNw+ZI3buizyeQZc7+tdIL49D+UGiF meAE8vZNeNyfMQGbbMcNtLzGUdawdLTQGTa4r0xPCJlgIb93vjbks2ywyXZ+ IshiIXvD8a3ZBmzYX8/7w3eEhTZWVubqmbAh41P12D0GCwWEWnwKusSGexVF YVZ9LOS0/y1X8C4bjq5ew7PqEwvJPRXT5k9lg6KhtOViDAstHLy/mpSOXda1 cCWKhXrHiY7UD2wY/Vsk0fWGhV6YFFhq5rHBNX4xPfUVCy0qGt7yrWTDH3mu ySk/FupvD43l62SDQMVZmtMt/P/82W+7zm42bHtSxmy6wULhR6y3J/Wwoemu 2yUlVxbSTVEuVCfj+B6SKsedWKjcs+XL4xHcTk6fv2LFQhE794UasNjgt6um qNGChW7SY87LstlgZbufIW/GQtvOXKPUTLGB7KGVPGDEQkuXdCW/+M2Gp+bM fYcMWIhadMTZ5g8bDKVYauFnWajSOWmXyjwbXmSaV07ostCbzSunFxfZkM2r mqetw0L/A90M1zE= "]]}, Annotation[#, "Charting`Private`Tag$2768988#13"]& ], TagBox[ {RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4VO8XAHAhoS9lz1aRFKmERNRpURKVVHaSREUilLWkSGVpsVXITvad bK9EkrJH2cbM3BnKMtcWkvzefvPPPJ/n3nnv+5xz7nvOyNheN7rEzsbG5rGC je3ft6f82PN3rxLh3o2nvP8tLYMwl230cEkiqIx1ToTuWoYrm9t1famJcLVu 77Ff/n+hRufA/Fq+JPAUPzJ9g7UEgnZ5GakaSVD09JKQidMS2N9bb7bXLglU BUcCbKf+QGVSKE9reBI8lriWsu7OH7CjOl6dZyaBOkdstFn6IpRYb1XSj0yG hdDflS9kfgPv7eh+Sm0ynHn38WHHhwWwjuMKdR9LhlD7bMpR5wXg6ifG4w6n wNpdlh+Ov58Hb+FcXap3CpyvkT6WZDUPpmaJeeRkCnz/GH4zPmAOWH1neZMk UqG+/E23rdYcBFlzXzpzOBWitnM/d5j9BUUXr0uURqSC6b1xrxXXfgG/875A nz1pUPNGe+70lVloCPhuzuWXDhXX9r3ZGT4NNGcRlm5kOkj52laJOE+D5crQ krLUdNgSZBeRbjINUw8OrL3Skg7ZF8YeUjdOw8bQ9IbmDRnQScSfDS6ZAt9o D+WndRnws4vDePPwJKhkC3BJcWdCkjEnHS6T0LSjweaLciaMiIx8mthLgk2B Z+Vts0w4ahv/XI6fhNBSigs1MxOEnePnVZ1Y8F2C4ic6lgnE/UXURZ+Akdqc vrQTWaAS3CL1SWwC4r/qFex6ng20nwNiiy9Ggd1nV1aYfy5YvZS6NXFwBFYv 37XUXZ8HHRLGaYeVhyHmiom10tE86M+gpQSRTJDrUrIRcM6DGVFWgGUBE/a/ 6bnYV50H9Xsf/ylTY8LbN1ElZTvyoVv6veXUQQaMnxmr0m/JB4W0U45V7nRQ vCpbwKNYAL+7Kv223KfBuYzoZje+QjBQH/jZtHMIYq0CDOxlCiGBTTy5dIkC NMFrX0x3F8L6VHW9yFgKXPc71LrPqhDk8zszfPsH4aHReMeqnEKYP2BWV2Q3 AJUL5aMiakVgOGLcfZejD6r/HOp9ZVAEpd/lKfSIXth8emLk/eNiSHLh2STg 8BUk7ujudUgsBidNLzFFwa+wNifhMW9ZMfwc7DLpre6C39xndpymFYOS2rrE BdEuaKstcxvUKAHPCRFVjrYOMPGqeXz4fAnkF1g15Op0gLfy3b/zjBLgVb/d 2WPRBi1rhIV3HCiDcqtDukRCI7zfd+1S+7kyqC3TaFwUbYRyxw+l7o5l0Ob+ Nn049AMkN3qaVUZhN5waUr3dADWfrwn5Z5eBV/m5rMm5evC8MxB/bByvZ90B Fy+/B1lWmsLFl+WQ7zo1WlVXA7daNCFm5i3Y2JZ/TrLLA/4dJYwm7gpwSbxw XLIsB9Tkvl5ql6qAqZgVsjvXZEO7wZbv1kcqwP9s5dz2ygzY1izstjmqAmoJ m74ulSSgNLLSCvdUwoHYw2czOYNA910q/xfvKtjYZLPP824SGtwoU/I3rAoS 6OuYnNPJyN0/1kI5uQoM6bfujdumIq3qlKemBVXAuVmCJncxDSXC84znzVXg ooJOUfZloMVq/0PmUtWgXL9NLXYoB+VVWNwcrq6GkZQl6f+ci5FYscDgihUI PH/w8mpSapBlyOJZQhTBunOzfWxhCCXZMZo/KCG4rCsWy76+FimJvH372BSB 0u3AXOJTLXqrYSR6zhFBmI+qrJzwO3Topk2kSD4CbX+DMNWNdUg91iQtYmct HHMUUYx8W48uWKdZZQzWgpOrwmJXVhMy/RJvLSz/Dm4ux3n+vduMSmmHP7dq 18FV4uD9a8btqPvY3clQ3TooHnMLTLrVjn7l1ogaGNWBnHDmqrcx7WiPj+aF jw51kG+uq/+4tx2VC+38VfusDvwlrw80WXYg+4IEodzMOlC2jT/UnNyB3upI bCwcqYOXRhvPdlt0oqo00i0i4j1UlTi5GB35isrm5iWNdOohSN5folmoB9Vd jZM0G6uHCk/SbO7LN1T0w9HR+lc9SLA1zCwwv6GUy3srL7I1wH/Sy39+LH9D gfY95s7CDVCvZJT/bNd3dMxW4OU97QZg3jAW5on4jlrNAtflhjSAe0wMJfZc LzKbb9Kbmcb3l9aEVxztQ/3HrolwbP8AKsUHjk8296FZ+X1rcq41gv+uW/GX Hg4iYVfDitSKRkgQZc1ckaagF///NMHR0EYJTQsqYl/IWiu5+RMQCo7dFlQq qqTtWFR81gxKVr2zyf/RkfqyTemZ3M+Q6721J2aWjqQZ3uuI1C9glKpX8j2V QJ/vq7V8UGyFBo+e92UVDJTTtvPig+5WEDPlf2CxmYk2PBldeDPRBpzae3u9 HIaRp75ZAJ9QO9Qs1SSIhQ+j0TnK4FflDpjsPD6r8WEESW8/3e6j3wG37G+H 1FFGUMrPyk/8YZ1Q8HviKl34J2I/ONQ6HtkJg7D5RKDkT8Qvnc4iiC54yNNo U797FJUbdJ5mn+kCbZewF7wHR1HIlRL7BLlusF2x9+ohuTFkJdzG/8ahG+wz 1WZuG46hXweyiMt3eqDQW3mbJM84MnQz9tk73QNJas8mnxiMI3eV+mLR99/A qVpfMLlhHL38f/y+Q9BjCeoD1QlEya1/3C7TC5wNc2WGXhPo/iuZS5es+4DZ q+VfyMVCi1e7Xil494GN2s2/64RYaNvBVX/tK/thW0gs55onLJT4Oanw8NEB EErhP5xRw0K6STIOBWKD0L8hp+sWO4kyV5kXmphQgKFY+2yDMoluSZ+XpVpS INrmCNdPbFtDZeP+CxSQSuHTe7qLRCfvrXjUY08B690BkhoqJJL/kTz5xYUC 9gnU6/dVSdRVPFJbcZ8CYbTw72LqJFI2uHE+IpsCaqLbmhS0SDTiHRir+4cC bbste3/rkEhp7NzqnhNDkJhaHWdiQqLyswbokeEQfDJSvc3CPlx9yG3/mSE4 bqtPCzIlkXnYzr5U0yF4F0jdXWxGoofKPFnuF4dAj0+Cn8eSREz3quOCXkPQ wikX/8qGRAlLso9OpAxBTdRp4UtXSKQSfn6J48sQ7E2Q+LHClURCa0ju+t9D oE4XGwr3IlFH9aMHektDIOdwyHuFN4meOW3mal0eAim257k3sAU/mXP0clIh xJiNecYHO7BhicVPhRi7288E/Ei0dvHllOQmKkh0ec16+ZPov+Ej/W76VKj5 WOG7HESiz5FD5gsnqDCfdCHI7gGJQnR8vt82pMISGlFqwl6dlN/98BwVEjTH DJ8Gk4jXSrL99XkqjMuLzEk9IhF3J9nQ7EaFdKZai0woiTjRq7xNsVSIYjXs oT0jUa+2zjFKPBUE2dJvHHpO4vN1bOhlIhVidaS1k7DNS/cJCqZTgRm0w8cm gkQFORR3tkIqaHSlZPdEksg6dtPegUa8vlfVVH4MzodXVn3UNBX2FrSUrYkn UdjcGSujX1SgRZvNXsC+6PFnlm+BCv9RH9YXYfO7ntgS+Bf7jOY649ckunSZ 9dCNhwZTApejIxNwfczQkpT5aGAwTTdbxhY0UT1luIEGN3n9ediSSeSoVvmd R58GGlLLVvfSSVTb9jW7/AQNStNvVn/AFrlG3nEwpEFEwrkSngwSodTN8g3n aNAxHOcchi0k9uSGvw0NOCmJPM/fkKhywW71nAcN1vWnTgdn4fxE3RlM9aRB s4YpvQH7ksrLgrM+NGgJqHZizybRGsdWk0J/Gjw3mTLwxr7Yr5ly7TENgqX2 HbmUg/OD+PcRCTQ4svBLfmseiWwsFNY+T6aBX8ipSmvskrnD9INpNGC7HPsz Avu8stfD11k0+DVzQYItn0RFifSv5qU02KryvrYd2+J+uXN7Mw3cJmc0bQtJ lKVnm1DziwY7T3+z0yghkZqSzH5YwPH4ZZ51HruGf6gPLdKgy4I3Ngi7rdNK 7B0bHh1Ltvl2Ys9YmYW956WDpba05pVSEu2/Yej7cT0duHZ8KrxfRqLGs2sk 9GToINQkmZyGbbinpaxpEx3Yjgbv/4ht+0d/+tNWOsTdG7vJW06iB0G6V7+o 0GEjy5v1CLvt5X7TjqN0MBS68J/vWxKZ+S3NGunRoa16V0kMNu181fNOfToU N3PylmDPyO1t7TKkQ+6a0bIxbPG83Ud7zOng3XBE3rQCP++9klq/Mx2YDx+b bagk0WjqaLulKx0C+DY1qWPrdR9MdPCgw5kj0e0W2A9ObM0a9KSD0ZzHZh/s 7J5NstQAOiT92lnXjj07KrGWGUWHvxe++FyvIlFE3HBj7As6xFip697DVj1V fOdMLLYCURCF7Vp4glWbSIeIMaNLVdjjnv4tr7LpwGlveZSjGr+fiieCjPLo oG7fzCeMva1ffD9PIR3qulZ5yGFfgaKcm2V0SMtX2qSDzVjJDDldRwfr4L/L t7HvlxXqcDfQQcWsoDEEe9OVO39qGunA2F6+8yX2hc/rnJS+4PhGclKLsNlu MzbRW+kw6OSoWIv9emdh34sOOkx2XBb+jD3wTF9/1Tc6HPC78omG7auzjqOm F+e7MTRqHFvyF1HhPkCHZ1mPOOaxzcxuK9JodAibO1W7uoZE87z6tBgGrhd5 zbUi2NFVYi9PjeDrftor1mN/3VDAUz1OB+WBjg87sN3b/d65kXS45xz0Sh1b 6N5xL8VpvD/NSIH92KeZ9JHoeToYa62k6WOT0fkJJxfpEF8VpG2EHa7nZ7ry L94vf4qGKfaXbNGPNzgIyLWbErmI7WRNv6PARcDNW4fnHLBXr83fM8RNQPJN F28n7Mx3vqyo1QSoGT987YKt56aXfoKfgBT2eHt37BE50fOcAgR8s6lpvYX9 oJsmWilEgMbJ373e2PLBeS2uogQkJFwI9sNu0PQN2ipOgIc857c72Hajx/ZT JAmISZtsuovNESfyK3I9AbeHNK3vYSedpOUYyBCwIWQs4j72Qba8SxxyBPCZ izsHYg8V+EhXyBNwdbr1xz/fuXjsq4sCAbMLG7iDsNeLiIRuUSKAl1u86d/1 6g9UncEdBGTmf1L6Z0vP3D8Ruwhwv6Oj+m/9RQWfYn01AirmI/sDsF/26Tqx 78HxedGy9d/+NEOF5d5qEmDRsyT2b//f9lP7rmsT8HGjaqYv9i0y57k8EEDr 96N4YYsmeesPHCTA33G87CZ2yRldjggdAnQ3P1V1ww7WLw+U0iXAUtwh+vq/ /RxW4E7VI6B/nXemI/ZOrZePthsQ4BbW7fQvP+yqq/lKTxJgTAketP1XL4q+ 4ftPE2DoGLdshZ0hOy7QeIaA0pCNbf/yfVKwVfSbKQECg8l3TmDL8B54YWNB QEZ6lbUu9syKAskfVgRMaXqMH8B+Nfls429bAt7k/xJX/ZffNmNFqWsEtAU8 yRfCrvzYmJ1yHd9/ZonvXz2H1Wrs3H6DgCEjR0l2bLV8CbX9twgo2uJzlIXr /2744D6buwSUy1UONmCffXCqduQezo9/QHUF9tY7tYdcgwgwks4yyMNucU7S DXhMwLaqU77R2BIn7U+nROJ4zKnI2mGPH+npVIohYBfFMNAYu3bfMeOSlwT4 NO94cQzbfruixYfXBAQXmXVuwy76b8Ju5A0BqulFzybw+RLEeX7YJZuARSTu N4ht/qf1ykIuAcfN49a1YLONFTjzFhNg77rtYja2QbOHp1INAWcT03QvYW94 z/xdXIvr4YJ2lRH2VIWJ3773uJ77cdPEfpGpGXDyIwE9tSsPi2MzHy49dunA 9WItZ/oRn493jgW+LmYS0B4/2yuG3WF92VL5BwE3MizobNhyHvri2aP4ecR8 wg98Pn9KFHieTBIgR7BrV2ALL8YFPftNQFWK15QJdkZO6TUXfgbIlXFfDcTn ++/3LxTH1jLAdNX7T1ewT/T6DjsIMYDP0Jx6AnsSCRqLizBAQIY9bC/2FNfh C+fXMaA3+ZiyCLa2TevZk7IM0DY6aJzwr98IjmgpqTNAON23OQP3J1mF5vl0 DQaI8TaGBWN7QG7JJi0GbP0ezn0ZW8LJfafkAQZI3K/fII9t18C2ifc4Xv91 60A87ofzt8R5R6wYMDy4OjEA90uZgePfkgMZYL9VO1ioiESP6rTyzgUzgGYn ksbE/XgqXSlo1WMGiLu3Ob/FrrvBr+b4hAFKh6RWWGPbcXeEq7xiwJ8Jc8Xk AhwPVTPdd/kMoBxhvJDG/X3HI4fSwT4GRNe9gE48T0RdNw19MsiAma1Jba+w l8/q2R2iMsCMwsFvh922YZtgGpMBos1sYdN4PnEtmbh2bZIBsfbrU/ixi4c8 Nv/hYgLn1g8qu/F8s3fP/QhxFSY4nMrcopNKom5bcfU4NSa8ng2p58J2C8vt 2biHCS5/2sWbUnC/ZHyT2KrNBAH5tHED7PUR2xPVjzLBc/qq1mk8f7FPduec MWeCzqffNw0SSdScqdAYGsAEWa11mXxx+HxY37qwopMJhHpnZxWeJ/nFb5RU fmVCupWUnAP2OyERV49vTLDmy5UVwJbnsRgZGWBCmWynoh2eT1nTzO7WESaU 07Uucz0lUUDT36K4v0xQ71FP0ArD825Psss+3mH4uT3POjcEx9N9h7Om4jDQ xW30ruB5ePZTKM3l7jAQJx9FdeL5u3/118t/7g0DpSq+yQW7zkCK9SBoGMLb 75XxYT9pyVyMfzwM9UID74/i+V2xo1H4SyT2yejXJZ543v2+QlchcxicxX2u BHmQ6MOwRxa1YxiotnTPGWcSxXBauxvJjYDESZ/VnBdw/xssSWKvH4EDPIr+ SYdItNLv7llN1x/we0PjoKo0iTwPuq5sS/wBPHUVR24J4Pf5jXUeTfAnKHBo HD45xkI3XuaFCtb9hNl324RpYSxUvS2YW8B5FC4cVDF1VmQhgeM3lAL4x8Dh IEcYX8ME6t/e1ulVNQY1s0oG1JMTKD8ev4rW45A8yRM5/G0cWeWpC0j/HYep xL6PW6zHkX9g4t3+zAlooUxPSbaPoZwR6Vf8BizgFg1jVzw6hoLjAm0GT7Ig YLdWVM7hMWRnNL459zQLDhwsiFM+OIakqqryT5iwIEZqJfdu7TH0KNziQ4gt C4iZ1ON7VMbQZfUXk7xeLBDcEv5IZv0Ykr0vfGxVGgusi/fzhs6Oor8avnw9 GSxYS+GSXp4aRd/H6R1pWSxIWzuf7EKOoicmRVZHC1hg52nDbzQ6ipYVjdwC q/DvV0ae46eOov728HiOThbYcw3kOX3G/7eD5i52fmVBl54HV3fTKIrQOq+Q /I0F3t427fsbR5F+6o7iQ4MsCAnTrOevG0UVnl+a7v5gQQuv1vqMslEUtX13 +OkxFrBZ54nxlYwiV1rsWRkWC+p5HwW6Fo6irQZOlNoZFij1+tRo5IwizhVd KU/mWKCcHv3wVeYoGirRumrzmwXxspualtJHUdXV5J3KSywIit7odz51FEVv WD27vMyCCYNnqbVJo+h/mOilpQ== "]]}, Annotation[#, "Charting`Private`Tag$2768988#14"]& ], TagBox[ {RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13lcDV8bAPA2ikil0EKLRKkkSaEeihYlUaSQJIkf0YIQKkobhWwV2iQV 7Xs6SatoVWnR3ebellvNpF2l93jvP/fz/cyceeY8M3Oe5yg4XTp0ho+Hh8ef l4fn378SVyR2r08iLDVa2sH9OQ/p0l8sq6MSYcvL6w2OcvMgsF1r/lhVImhm oRVivn/hqF1cOjWSCMzcuPUXZ+aA7LJZHC/9Fh4Jqu91D52DQAehM9ZGb6Hr jKtbv+IcZJ++JJ0X+RbOq6VlaJ+aBRE3/YCb25Lg/Gy2SN2CGXhLUTQ1xyRI 6XHYPpPzB3Z6Jm7vCUqCsKdPUxRc/sB5b2FqV2cSrOGcCyj8Pg2V/h32C2+9 A+PM0v1L06eA6SZJmjx9B9tcQwctAqfg+IIHuflv3wF999eU9PNT8Pv+LtFz 9e9AasO6V3fXT4H8g3eVdXLJ0HV3W21o4iT4PL+i+ag8GZIMJzYPpEyAVprY QlmhFDC5lZr2mjEGtRqVjt81U0DggWg0J3UMHDO9i2/bpYBtff0A/eoYPMij XWakpEBCjGZpp8gYdEjTbq0YTIHEayHSj0pHoa/sQ1fS/lRQ15O8ftl4FF63 mmVufpIGt16uyBFtGoGtR+eEWcVpsPvSl8MliSPwrTPDJZJIgyCZSGPCewSm aStlJ7d+gKUHss+8URwBmwF2YMnPD9C+NIPpf5MCnpubUx/6foSzk4qDU1kk CM/7HTdZkw5Bx0OcL/gPw4tztg5qxukwcWPJrUrdYVD6oeYo5pYO8XdnJhvJ ITB4336661M6yOrsuDF6cggK3z/LzdfIgBITYRsp00EYsh4sMa/PAA8hnVeZ WwdAe1G7vgEzA1Kiah9PjPfDjdLPpZoTGSC+pexZVV4/CKo8L5NckwmGE16f 5/X6Qe28YuYi1UyIUSKdQiT7QeHv7graRXxcoCU/1rgPDic/r/NcmgVmm93D l17jQMwJfwsXhSzQKZ0cUgYOMMUvfj+6NQtcvfND0wU5cOmWYYP+iSyY3JKY KRTFhuBDQ82CH7Kg6oKKY/YXAoqnC7iS2tmwcv0x+hdXFnyaNeyMtsgGQ9PH 7RUqLFh3cLjvS2gOCNi4uHzTpYP0HZPtZ+NygLZkUVyqEB1EP8SGLs7PgaiK oJyqTBr8EbLWOMjMAV9PeaGMsR5oLMv37NHNBYeUuBQP/19ge7001OhkLrxp +hZLI7rhhqbf3yl2LjxT8W5cUNIJ9cskJDR25UNMPD9xLLoVvuhfPNN0OB9C zKs6Pu5vhYL/qvK8/suH38GMGR+eVkio9rYrfpYP9puuJwSc/QGl3y4u903L ByGZ4IxpmR/gfefXa9OhfLA0b361bkcLKJJJKqejCkBar6jp+WQjXKvXgxdj heBYfZKTdLMWRDRy2bVCRWCaoVxszV8L2kqtZ5pki2AqbmbuWVgNNFms73DY WwRBOm+38ryuho11Ep7rnhWBt6XUH2ZtJdCqyaSsbcXwY+Pui3z65WDy+a3I 9xslEFRxeBLE8qFHXiH378MSyFgf/2WlUR54+cYc00woAertvD/9Si7s+JT4 6GhmCdw767xxjpMDcfAk+UldCfyk/7qk35MNM598De1lP8HRCprW78IMSC86 drX30yewmrPu8dv2FlbmiPXw8iLgebrBcNe6y+h42IwNsQKBr/Ee4pKZD4p3 ZtdVqWE3S59u3XQPqUkWFoYeRUDvWfkodVUEKtQ9tOLwfwia9qgFBiU8RoZX HZ9KZiDYVZw85zkSjXRibJMiN5WBZtEz1Ob/Hp1ySDqR3FMG9Cj7vd4F+ejo 99cOEsqfwevrGU2xmmKUxzT61rCzHHiGkiOiGytRm6nfyAOTcrCKGzHsk6pC Ex9LV1gcKgefb8ZtpFMV2nZT71TN2XIoQzGHNo9VoYLlmybKHpfDKltry+Dl NcglM3b5x5RyeLLa+JZURg0q3CMtn9VXDomjxzJ7935FJUmUZ2TkF9B1tlol 4FOP8ienZA7tqQAlLaEDe7c3ofLzr2TsBiug5uZQnJ58C8ru/+8/h4kKKH9T G5q2owUlum4vPs1TCTZZ28MX27agAJd2ezeJSvh5bX5f0IMWZOokFnV3ZyV4 WZQ7P5huQQ12Aas+hlWCWv1Lnh/ffyC7qVqzsdFKKN129wx/WyvqNr0oya9e BY1fX45PnW1D48r6yz5crIb4VXpbrc92IAOmYXWIdzV08uwoUfftQIGvTO+4 3q0G57NO3PEXHWiFhA259mU1PObzenHgaweSdLcqeltUDU+/RgUhyU6kw/tf Q1RFNby4lO2nqtaJvLtehAfJ1IAbX3VhxGAnmg0fW+ZcWwMuHZsmkh270dOX /361IEHxtmzm60F806miMuu+woWio/pjUjRUzNSYUX1cB3+Iid/7m+lIZ94x z/rjNzjFL0EPamCg1ewbq4i33yFj4+mO2IdM9O2edn2VagPMLJYvqi9ioQ+N m07fb2sA23soVkODQHIR3On3w41wS+u+T3oIG3mb2/kvXd4ESjzLXG/kshF3 ktbTqtkMvWuG2x4s6EWr1Q823TRvBn6bzf0yCr0ocaD4q8jDFhB26C1MdutD fLvpDUNPW8DZ4XxCw5U+JLL6HUkQP2DWUZO2MakfFVi0HOQb+wFURNpf66x+ FHYu1yVWqQ3CKcdgm3cD6IREo8j7s20g/Hhkdkn7AJrYlUq43mmHqQohpy2v ucjK88jN7aPtEBAiF7Kkl4u8tCpyVnz5CZrVyfD13CCK+n/+OiAo8O6CFPog on2sCG1S6ATyeWGpstoQuhetcOaMQxe8SUtPvVk5hGbO/4hWudEFFxQbrg83 D6GNuwX/uhR3g1+EvPug/TCK+xafZWT8C6xLT+jTHwwjk3iFs5kre6BATONp QecwShG0z7K1pUGEn/f7rUCia6tPKjKO0+C5mZvR6C4SOVlpHuk+RYPtKflM Z0MSWd7lDWl3oUGCq/yzViMSKfcnjHy/TAPVWybbc4xJ9COnr6zoHg1EFd7f drEgkaaFx8nINBpcm9yq/saWRH03AmJMZmmwxTemyukiidQGDwu376dD6qbx VHhGogIbCxRiRQenwIA3j5+TyOiToaeBNR1ezYU/JF6QyP7hpq63R+ngmL/e MSCaRMGai1K9TtNh4Ye+n0WxJOJ4lewTv04HOzHn4+MpJIqdUwzZn0iHgU1L /FJKSaQVfnKO/zsdPK56zrU1kGj5Mkqo4g8d1FLR1bUsEjV/CrlvNkeHqQ4P rhJBoscX1i1smKeDoMPB0HVsEol/tefvFGDATob1fqVe7IDKOVKEAUlfPtNW ckkkOhP1W2YtA+D1fdf23yRa0ru329OcAfN5N1O7eSj07Sndfno/AwwTZ4yt eCkUtudmx20rBtgsFLr5BVs4PqMt+DADfAYUPiTzUWjxCZmmNycZ4D7bscNN gEJCLVRlnScDIvdor+QIUkgARaevjWGA8rWlTsEiFOrcuceU9poBAlM9P6aw 04sG6VFxDNCu8Gg6u4xC9nn64uLvGCD319J1jyiFMj/QvHiyGLCEv33ZlBiF HGLWbv9VzYAV8j0nzCQpVHA9teLZKAMqyuMzImUo9HDS+sShCQYYrGgPH8c+ fWV2fOk0vr6v/OxhWQqJuO9fH/CXAU4H7HwkV1PojCsZ7LmICTcojTXhayj0 Y4wZr7mUCWqyPa+WyFFI3HbLASs5JnA3vpm7oECh/7SLOxaZM4GaDu5sUaZQ WWNrWsF+Jiw1ThNet55CkhepO2etmLDVQ7jpCjZ6u0658jAT/G51rVqxgULL V0Z4+DoyYcxB/81BFQoVTzsLT17B8WuKonI24vwiEX0ilgnHzRm9qpoUcjym IvokgQkBTzl1bti5k0as3UlMkKVxjbOwT2peD36TygTXcXM+3c0Uyo5jtdrn MSH5Zl6EgRaFjt0rcGuqYwLzfc4aXW0KpZo5xZZOMMEhVvPRr20U0lZTMIBp JuwxWNUgqkuhUhF6F5phgvf33mwj7MaWEys/87BAYPaORzL22Am7h18WsyA7 5ljlRT0KGXhY+dSsYYFqCq2hdzuFqm2WSZspsMBVsPuu5A4KWW2rz69dywJx 7meaIbbTrPno1w0s8EsJDo/Bvh9ocv67FgtKtn1pNN+J40UZHG02ZkHelRe9 L/UpZHdrbvyQGQuOaoQplGMzT5Y8aTFngW/5aYEB7DGl7Q0/rFjAKzNboWtA Ian0rcbt9ix4fPjOlmZspy9q2t1uLHC6vb5lDCjEfcttOu7OggvCd+NX7qKQ WdvuuLNXWBBrlsd3APv+/g2pPd7Yed3Ct7HT2tcqMvxZwKPTTPDuptA4V1qU 84wFx8EmcBo78lVvdcxLFmjfHPWQMqTQlgM5d6xjWCBXeGRGF9s9az9ZFofz 55NNu4o95O1bH53GgmRu3dQQdpjq/sBD6Th/ex9VLjai0MZuKYNFWSzg6H7U WI99DrI/XM1nwSMx3TYHbPYCTtjBchaUBwf71GLfy8/aI1TJgmfjizRY2GvP 3ZktrWaB6TFPn1nsU99WXVD7zoLbq80o9T0U+vXY3FzwJ47fPrE1DLtVLnPR pyEWiKaOmOrspZBX063PnhQLDPocm8ywl9/dd111lAUeJ1onj2Mf5LD6nk+x IKl1uZw/9ve0FTUe/AQcv1z/sxr7ggPrjspCAqpkDlj/xBYWzdhGFyLg/MjJ C33YZp5m7/aLEPBq4uoNQWMKVer5BG6QIsA7yl5oN7Yz19SAJkOAB7/+dUts /leSE0/XEJB6TTf4GPZunvQz/EoE7LEtDfTCpmfeXF2kTIDsy/Nevth3Tpu2 XlYhQPWJJ28Y9qcqxp4eDQKUBWjTcdjHvT/ORm4mQF7s9Jk07BmVmznm2gS4 892/nIet90BCqVCPgH0uI2dqsX8aMLou7SRAYJOdVTP2NerDE2UgwC8oobMT O9fahD9yDwF8RooNA9hB5gUBsiYEWBWol478i2ekIvTWjIDZ+gy7KWy+LcJL 8ywJ0PawfiZggvOv6hNucJCAioIH2xZjJysOiVVb4/xJXAlYhm0p3rDi51EC JHb5rpfCVli866XjMQIUo0pvrsYe482U6T+B5ytH81HArplWeO3uSEDPAlJ1 HXb0yGP5P04ESN2ZCdiA7dbPn+B/hoDuXLGHG7ENGV7rhF0JONpgYKSBLdnB fvfkPAHUQPhbTey+xiOqshcJ0FIUz9XCLq6pTku8REB/ULO7NvbDMt1N6h4E LFfv6dqKfargfWauFx6/wnBUB1s7Q1rb4BoBE6bCBduwBZND86quE0AgY1Vd 7M43s7oHfAgo9ODd988fn18sbr9NQOkh05X/7Bfeo+/oR0CA+YbH/8bb3D9Q 1neXgEHDj0X/rr/hTpmheyB+vlK9Ef/iz1zdXDkdREBWMk3i3/3Vu8Wb+Ifi 968q0fjf/ce5LP+6+CEBvruNlP/Nz8vhnsWTCGxWdbY6tsmR8XqZJwQcuQyk Kra0pcvBxKf4eSbl/VyPPbS3vUXtBQFyBtsvK2GX6ZseyY3C+Rxoy5XHfrK1 8Kf+KwKE7F++l8V2UVc9VvWGgKdbHpqvwtZbF/3LMp4AhlR59HLsJauXOLYn 4vm+3x0lgp29ZNi57z0BZauPxPNjBwqc7L2cRgBdTiBtDr8/9rMN56Y/EhAk qOk8ic0zmOm2OAfHD9xC78duYSmOPM4jIFBUKZGJndT1xFOmkICC0xUrurAt 6q54q5USkCxiLFSHLfeF8yenDMdX23W/HPt3ke0tfbwvlo6TyS3Efpmi529Z g8f/erf6HTYneC70cjMBlzIurr2NXejnJjL9gwCvjK/Snthh12kRfu0EyKz+ 7/NZbK1zn58+7ibgByNJ1urf92ka8CaHg9eLqyeWrMZudnA9rtlPgNINw4pl 2EpXzKXSuPh7KB3S4MP+Gif2JIEiYOuuClkOXj8kZl4FPv5DgP+DtGMp2C5i fkYicwQ8XDufEoVduN6ZJ2SegNg+9w8h2A42qjf8BNjAiCbqzmEnf8i7eFmE DSqMrZeVsP98eak6KMoGafPPduLY+zt9es8uZwM9tnJiHq+PI0j8iJQkG8xf eMqNYv9eaHTq5Co2pEmcMe/E3unYYGOpyIbDulqOodiN4n071HTYIMIfvpuG 119Flbqpd7r4fPGaszXYV+Bj7todbCAWbDDMxJa+4LVJZhcb/njeX+6P7VzJ s3bxPjacv0GqyGNPXZNa3HeCDcVFHzQscb1Q+LXvZ0IAG1YO7WG44/oUUr4j /XAQG3YZ5/ZYYv9+pxYoGMqGsvpT9zZil3uIaP8XwYYs+4QaFq5/zkLN4VrR bHgRpqVjhZ28xc7kcwYbOtxQxipcLzVCzub1dLHBn3vQxxXX52eXjj6I6GGD uC5P1HbseRszZ0MGGxb8vX1qCXaj3EbxJA4bMnjkhj/i+u+eO3zx4ggb9EcN 5kncH+TQr6ybXcgB7eEYYSfcP2zfdi9SSosDK7IS5RdupVCbk5TOK20OONie PN6E+xPPhx/b5bdxoFP4pGUMdhr7p/SGnRx4vdf68GbsNZHqcTrGHBCJlKRs t+D1dKTtg7U9B3hOqpx6jvufuhSV6gf+HFC2/OtOU6eQa1upq1gAB8qfmwfF YQvw2Sx+ep8Dz5/wHzmNbWB3e39MGAcqbNpXctQolCHY0pLyjANBIoI6fbgf i3T2oVencMA73ojowf3a8TUN07wtHHj122rvs3W4n5TyyC1u5UAwK9bRDPvz ckn3Kz850BgzuH5WiULKi4719f3iQF1wfJEjNjnKaWvo48DRtbkj69ZSyL/2 b/arvxyoHq9Lj5XH/XR7wmX9xb2Qa+cvrIv7z2QvDTc91V7gkb6Wa4v72fGv D5iX/XohLWdUqR73y93Cra6zd3vhveb4Ik/scgtZ8n5gL/B9Gnq3EjuiPmXm dWgvRNmzRBxxv63aXC3x/Sk+rlccPLQEfx8dvCYqKb3wW7JXb2YRhap6r6Qy mnuhbUFDIYOfQi8EHLwOKfXBJ4PgnMIhvB/pyY3nq+gD5ZxL38/nkGjBLT8b Pfd+SNjn81kC75e8d7svaIzrByQaphVyhEQ87x3SmeIDkNNw3lBSkUQeUekP xMsH4NS3TeEt1cPo08YgITE3LmSv71K1cBlGYvs81PxFBuFSc0nqLf5h1K3e 2HK9ZBB4LZYZ/w4fQhmvQYlwGIINWq52prJD6ES6jtjqv0Nw/P5h67SEQeQb EOfXnTIMpZmuexpXDaIPfaujRSxIcD7WXlAbzkVBrwIceyxJWBPVGnP4ARc5 Hxpa9/EgCYECp3/TQ7hItqQkY78tCRUzer/HA7goJPxYVZgTCQt/6e+V8uEi V52XI4uvk1B2tWjHXlcuUrwnYSqYRIKLa5i/1i4u+qvrs7Q9mYSa0C1v0vS5 qGOI1ZyUSoL4izZ15R1cFGGbfcI4k4QcpmzcSh0umlc95BlQQsLiSB766EYu 6m4Kf83fQsJOntrPj1ZyUUHg5OmWVhJEW6Pn+SS5KHLHSZWEnyTE+kale4pz kflbjRzDHhJ2lSu7WC/loiLv77V+/STofq9VX8LPRc/Ut4YfHCQh0nrfnDcP F7kzY2wUSBLyRJYCe24AbbC4QCsbI6GK11mqZGoACfD+SIyYJMH09Vym8sQA oufuOO/4h4RvukRJxOgAKjmfsElzjgSB69Lb/1AD6Lmc8Pj8PAmufAkqp4cH 0P8AXPbIGw== "]]}, Annotation[#, "Charting`Private`Tag$2768988#15"]& ], TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k4VN8bAHBFQmWPREJUSpIQFa9QyU4qZUmLLZSlhSJJUlnqK5KtklLJ nj0clC1kpxBm5s40BnMrW/bf6Tf/zPN57jzvvfec8y4je/aSldNyDg6O28s4 OP59F1zw++wV+wbCPhW9Nh9fArsVkQVFr9+At+IZPxGPJfgTpivo9vUNxEW3 6kZ9WYT7fBMX1k+/Acld6tlnzRZBJvJNTePGt2Cn9XyDGGUBigRsZQIN30Jn vPP5lwELYBbNf0PZ+y1YbvHae1x6AQLirqj8V/0WTARnbDsuzoPIesVwvZG3 4Le7xFhQah7Sk/rp4yLvoNSZQ222cQ56UvQTjzu9A5G4q1wxqnOgmiHELcWT DlPS0w0H185Cg3KNY7NKOqj432G9bJsBx1y/jzdPpkP/6pWcRx7OQGThoBcl PR0mDQJFtvDPwPf1g4Fio+mwmqo6VPv+LzArM/vSTN+DUfwCGbvuLzzrOpK7 63EGGLxiZ547MQXqNguraB8zoGDEby5RbgqaenOcY4gM2LJgPnmLPQkzg+JS 0+qZ0KbP5Ne5NwnWLPrdsm+ZUKCQKc7/aQI4bux6H3UrCzhUKYKHVkzAqqVg u8PS2ZAQ8b1l2GocnrqdcFA6lA1Z1Q5Ds1vGQb5TyVHoYjZszNwYEbjwB3Te 9ZzrK8+G9ogmxtd3f6Dk3ZOCIuUcOHU/aM5l5R8YOzpaZvw1BwxDGnu+df4C Nd4ebR1qDsRYQo9Uzi+4XlFVoTKVA3fUHcQKw3/BSsW4yrXSuUDRZX2n6v8C pQtyubzbckFuROcoW/kXyC4e+DzomQvyD1QEl3uRcOxtXKPvmjzQ7O3PCrcb gyT72ybOsnnwev7+mhipMaAKezbbqOeBa2XjguyPUbgUqNeibZ8Hh/okBetO j8J9q7H2lZl5UHwnIJbTfQQ+zhSPrFX7AO8C3dKSBoehfF6vN9HkA5ToBGS3 xg2DgiWb+Sk8H7wWC4Ze6DJgfdDhvS4p+TC95aWuOB8DBDNfhPMV5QOPuF/E ZAcdZnmOKltS8yFCeimbcKVDa2WR74BmAawaOjTiFkfACf+KcP3TBfDkgAn1 rA4B11WCF//SC8C484EDDzcNvgqIiirrFsEfHWKtpdwQfNL2dGo7VgTKsVqj 2mODUOxeW3jZvQheKUvcdX0yCKl1fic/PikCZ2f6lvOsAaho8hS5lVEEA4LH 8m/EDoBf0I9nhmNF0FufGtf49AfIkWmK5xKKQVeAv1WGvw+ufdWCpxMlUFjD kyFs1Q38ygX0Bp5SyJ+4M1zF3w1q8l1ObVKl8Gxfw/zxpi5oM9ny3eFgKZgV uA8wD3XB9kZRX4UnpRDTsP/L3gOdMFhHpuXt+QhX1095xRxsh8NVr/mbr5eB bqkef4dgMwzIyBYsRpVBTl9b51xyE1y+lWSrkloGAWbJl7O2N8G+8lf/2eSW wTmfN2uk+hshBR6/fdxYBvcO/h7JMGyEufJbeqekyqH/Qpf473sNkF1qe/Vn eTl8+6v1I0+2FsTzhQaWLUPg2KKeJ26LwC5izpoQQ3BPI0nAL6QCXp6nN9Yq ISiOVvjUnVEOSmtLSsJtEHxrM7AJW14GJZpWYsfcEXhSXJR5zT6C3lXH2LU5 CHIU6hOCSopBI+lEWszOSrjlsMpPxToPzjik2b8dqAQZ6dyKD9VP4Y6RZHz8 cCUMqe1Mf98VC2kajzofTODrjDWM2pFoGOW/buzJVwW6whbNKXoP4HjzMwfR zVVgwRkga5h8Da4iUy1VjSrgMMt1ixGyhQiZSdGyyCpwPPZUa3NKDCqk6je1 7K8G3aMhrTlx2ajbMPh35GHsZs8ef88cNJVVIWZiVQ02c1xiQfy5aM8NrTP1 LtXQWi0xXGyWh4pFdk5VRldDZZFRJVd9PnLOfSGSlV4N5QzOjXSZQlRisF4m j1kNW8v155qelaCytF++MTGfYH9JeHyCdxUqmv4raWXwGe4/GjKhNteg6gvJ kidHP4PH5hT97TMN6MOwu7vD1Ge4rE477Kj+Bb1y3fvxHEcNcIxLnnP2/oJC nXtOXRStgQiBxCYG8wsyPCuUELK/Bup9NvdUdDWilpOh67IiaoA57/9lIa0Z nfzbcGRivAbAavl0xHAL6jf0XMu5oxbap84fj49pRZObtQUyPetg6F2HfFxf B9Kh6tU98KuD/FX3i8qmOtDdZMMg15A60Mw81t4s1InERK3JTfF1EOF3bfmH w51orbdF6evSOhg0iYoXSuhEGsvcWxI+18FficPj4XmdyK/v6cN7kvXwiC5T FXGnC80/nBA431APOiNR+13W96DY+H+fBjBNZ1nuoXxDy2feC0oqfAErX/3x caFe9JGqPLctuhGktkyaSnX1I40lx8KjWU0QsFfXIHJuAG2gX19HvG4Gj/6i kXGTIdR0R+1r7bYWcCop8HeKpqDM1p3nwrpbQJlPUmqfABVtfDQy847dCm7X bm4wv0dDfsYnb68RaQNjGf2tDwppaGR6cKBLpR2mePrzk2XpaMMOy7Ybxu1w NftM2Cmgo1esj1/4ozrgyrOBaas3DLT8wFDLWGwH3Lq3vYw3m4H4N7whCaIT fij795hP/0TFJh2Wyyc6QXyRa5sHFxNFuBU4v5DvBtLyqnra6mFkL9rK/86l G1yPHwqV0x1GU7rvCdegHph3O3JqSYyFLHyP39g73gOK6rko3YmFLqt+zhf7 9A2c+Vcu9f5hoYT/r993OF2qRfH0HUGDWZ/D22R7YWC1rYdIzQi6kyjr5OTQ ByHJE9Xm7qNo7kJnouL1PnhR88KU8B9F2w+sXHT+2A8rH9JFG9eMoZSml3n6 h35ApkrypPfBMXT4paxLrvgAeKfpVzvGj6H0lafyTpwYhB56dmLNSja6tuG0 HMVuEJb5ycll87KR0uixVT2mQ2DTNPVa3JWNiq1N0AOLIQg0+vH4kRsb6Zfr +eocHQLr5ze9eNzZ6FTUzr7XNkNgWys9PeHJRvdVeN9fPjcEPG7celW+bMS4 XGYk7D8Epa+9BbYEsdGLBbkHpq+GYMRC4J5iLBupPjy9wNk8BL2qtju83rKR iMAvns+zQ7Arl9tZooKN2ssfhB1ZGAJ1pWuB+xAbRXsocLcsDcEPLfVCu0o2 Ev5yirOXiwJ9IRcjkqqxQ2sWSH4K7BB/3iZUx0aCcwl/JDdRwPrc8Gh7Cxut /nmw39eYAurnVNtyhtioKXbo1IwpBdYm610rorBRhMGN7zctKFC0W+hgOZWN Vr3M6b5/jAIZ1Tk2tQQb8dlLtj0/jeOPOzt9ZbIRT8evmkZfCkT9boDCX2zE hRKzNyVRQMNexYSxxEa9+w0MB59RQOXka24GB4myS0eHElIoEN656wuxjESn CrWFhd9QgMM/yHOQk0S5mYOXOfIoIF3ptr1hJYkckjbt/VGHrwtPFF0UIFGx //vPT8YpcMdQ7x2nNImipo/aW01RIJI3b5rAPndlfnLNDAWa+C4dr9lIIn5v 0y2hixQoicg+GCJLIidX8r4vLxVmLW1/j8uTqHOC+lJlDRUaR1eHSmwmkfCJ 3eYWG6nQPxeS+XY7idzVPn7nNaYCZ8NZtTOaJKps7cooNqUC66+Pk6wWidZ6 /gpysaAC4psvGMJGrxU21xyjgux2nUK7fSQSEX/kc8uRCiZaVE0jHRJ9nDm/ avoKFTpUjnvP6ZNoFeLXJl7g+/XoLxWZkcjRVlHwcSoVVv1VCbQzJ1HBtD7t QBoVvF5Fy3BYkOi0iv/95++p4Nvk8c3AkkQfUmhdpwqpMOgaJvT5KIls7xRf bGukgr3t2bZ4GxK9P3L2RcUUFcT2OH9KPUMiNSVZHZihQpulML/8WRJV8A/1 oTkqJG+9+TwVu7XDXryKgwZuKnJxL86RaML+ZNQnPhqeby//+M+JRDo+FgH1 0jTgpDYTlm749wk6Nu2HaODuG9Ji6EWik4ELk1ZHaNBNt1bPw6aeLnvcYUyD w0UqjPXeOJ783pZOCxp8yItQZGFLZKsf6jlFg5nj1/be8iXR2U9Kav0XaUDn +pXy4CqJjnQfSHG5QgP5Cbaq7zUSTY6sF2Q8oYHiJXl3iQASxST/rEuKp4GM dqyHL/Zu8/ygo0k08Lg+n9yE7Z1nSlam0ECrxOy/gEASjfnd+pqYQYM69TMV 7TdJRF/BiLCspkHEw0lrm2AS3SnKM+CpocFgjo/ra+xNbkHzFXU00D14Ous3 9pmmdR5KzTTY7SzXHnabRD+ijY1XfqNBQ1lkYHoIibo25vKWj9FA49mr0IZQ El1uC6zy/UWDe5HK7bx38XkIMfLfNk4DH2bk0SPYlgwaM+4vDYK7zk3WYDdn iNX7cBIwv+9+SUEYiTwcaEGK3AScLu7LIbFXCebsGeIhYE/2zoGt9/D6+B55 Y8pPwO2PXn1PsWu0Au5ulSBAZ/v585fuk+j8iKHOoCQBNd0tAqnYnMlrp2Kl CXh4//yfLuwDHNlOnPIE7PRPtNd6QKLyWorBgDIBc+37W6ewC44e5owxIGD3 f4sHTSJIdM+4OFTqML7/wtSgF7adviLP6yMENEpRm2Kwl+9etabQjIBjYlwv erHNhFvEvtkQMBuQrOwQSSJZPt14R1sCIi5YnQvEnliWKzlsT0Dd3OBIInbi 72iZ2bMExK2Z/tuNzWw9vk3KkwCugyrcB6Nw/tTXZby6REDvUk2/A3ZUpebO HT4E7NsgzuOHrZazXk3nGgEWpK39W+yVb8MLa/3x+5aFhSHs3ufzmuYBBNzY MMjdjR38cEDbMRi/n96tFcseksg6zLySGUJAX+my0LXYW4Mq9bzvEjCtIn1K EfvrxZeHb4cTsGv6yQpz7PVmzpavYgl47BR5Php77GBPh9JTAp4mjD5Owa7U NjxekEDAcstPEjnYzju22dY+x+uRaKDYiK2lkPjD7CUBykjhQw/26g2rHXte ESAXPPKYhv1hNfs88x0BBf7/nZrBvst1+qdXBgGBA290OR/h+jnf4jaTRYCN jsDN1dg7JnRHg3MJcI+mCq/F5hjNvciXT8CPuv1LUtgdNLnf0YUEjCFNfXns tL7HvpIlBPw1/z2wDdu/g2sq9SMB1w4Et6tgmzRe8VOqIGCdFae0BvbGT4zZ /EoCXu6OrtqL/af0RKD2JwJkIgzLdbBr8+qXamoIaJrUFdLDjk/Xum1WT4Di Umy5AbbHy3Suni94PbedrT6ErZsgGXa6mQCDX2ijIbZIdAQvs4UAn9KGrn9m 3F8I92onQGM4nvjnkuCL/DOdBLxpNTL55wj/wUfBPQSeT6dWH8Y+7W0hwtdL QPdg0eaD2KpuVbHR/QTUX3kb/+95VpxRXSc5SEDbC6oTYH+zSU1IpeD4N26F 78POsBDdoEQQkCeSxLcHO8gw9Hk+g4BIT3PaLux2B1c7lWEC7Hb/p6aELX/F WCJjBOdriARDAftauHL3FjYBU5Ucf6Wxv6QIPU79hffnwOkL4thSxRPmG8cJ eG1pqi2Afelrz+rESQJGd9O8uLFF55LvRs8S4KfnMvvn33kRCtbnXyDgVUWo BRO7ZMt5jgdLBBRnZKz8ge1gve16MBcdZFZfjv+MnXNhzZ4Fbjp4Xje4XITN Gfxr3I+XDmHWgTnvsN9mFnp68dPhfWeYaQT27Kf4baOCdLBQuJ8VgG3aG/DT RYQOcxpW3h7Yv5HwcYm1dMjcb1PuiP2HW//M6XV04LmdIGWEbbBhs3TfejqY iB5ZoYkdt5u37/gGOthISFsoYO93bLE2k6PDYHn86sV/+Xo1T+iLPB0knS7d HMamRMR+PbiFDllRDVad2HdLbA21legQy+u26V/+tgoz9ylp0GFzO8XZEFtO sfHvG006eHO7kcrYVyCrYNM+OtyZVe4TxV7vcXmnpC4dHod09A/g+nG+hmMT nxEdLiRxhrtjF/bRBkNN6LA9boWKKTbvn9qkZeZ0YIouaipjZ0lHis0cpUNL 5Y5rbFy//l6T4GPa0yGmmfONC7ZR1HztOUc6bFyncdEAO/nVYMjgWTpoaYom yGDrtb1e6Hahw1/WDpmecHw+t6n+rvGmg+ZzI+Z+bNkfRt9SQ+mQo5h2YwTX 3wfV+7KP3aPDVdpiRSn2nzdKd1eG08HVaJ3pfexqH34190d0EFucPyL/r57z tD9UTaTDJUhosMT1/u3uk4ercugwrWP39wHuH4ISRtK+H+hQalo1YYbtv7h3 Ur6QDo1FL7SFsY0apFLvfcT7b7av4AnuTyMOQ4vmtXTgf9mlE3eHRMoPXAoH +uhwYMWWjqu4vz25ZBP5aIAOxV86U3diL1kfOa9HocMq4fTqn7gftm7cLpzG oAOtWm3kGLZ3AdvT8zcdTli+ZyneIlH+0BWFeW4G7OuYLcnB/XfvnjsxEqoM eF2SYrbXj0TdZyU0ktUYoJJ96xQN93ffqKwemT0MUI6z+RqOnUH/tn7rfgYk Gxiwe/E8IB2zI0XjEANi7HWFfK7gfvO7O/PoKQbQs05OhviQqDFdsS7yNgNs NWsqNTxI5Npd4SoUyoCxB45/mtxJxLXcmi82DMf/5hF1Flvn5E3TpAgGuGoo cEdcwPmzsqMj/QkDqjh3TPW44vnifMBQXToDljvqDB/F84+ddMvMsg4GyN4l n/Xb4/lSwqfgYxcDHJY/qj+GXSWy1vvKNwYI3FQ5+NWORJt5bZnMHwx4DF/3 lNuSiBxndLcwGdCpyLXi8UkS3W5Y/JC8yICRAa+j0sdIxNeT6qXN9xO0C41/ J1rh/b2sfFFr20+QEKY55Bvj+edLJNUr+Cc0Rxlx0jRI1L+qy3U+5CfsWsc8 o41dbSJFht39CY8nLivHqZPo0df0uWfhP6FnxQuhI2ok2tZeJ9oc+xOmHgst T9uF68f3ZYcV03+CqdxcvIESrt8/r7yntP8EPnctibV4Xn7K5XDZSp4Jzg3i 37l5SbR4Tly9bTMTquxWKR7gwefxU+ukuSITfIy9f13H87rKbf1rpspMGNdt po+uIFH90tbrhppMmHM66vFlOYmmZ8eDdEyYcKFqfMJ9no2O/74fvu0yjle+ +fgREv//GSh4ufwzE7a/MLHy6mCjFYHB1lrew5DlN7vIeMhGfge8V7SmDAO3 8nMn++tsxPHOIZsqzAJRB6aXjiEb+SRkRwpXs+DISwkTp99jqHz7PR6hiyOw gzBz4Xw8hoSMfJRu849C2feyYzOqY6h/R2uHf9koBFOzKAeqR1HOM5AnHMYg we5ZqKjlKLLP1hDasDgGy7mjHtX0jqBboSnB/elsyMgSNNO3GkGZzA2J/CYk JPFpDZg0stC95FDHATMS6rsUcin1LHTeakwhy5KEjAmt8Su1LCRVVpZjeoKE 9Ajm56QqFnrw0LY24iwJd1HrM1oRC7lqxP/m8ydBRdhY5fgrFpK7I2q4Mo2E NDMm8TWAhRY1A9b0vCWhovbEK8vrLPR9jNae9p6EXsK1o+MaCz068cH+UC4J fDtv3ur2YaGlbVa+oWUkVH7qFutyZaH+tofPODtIMAiCPUXWLFR8d/pcRxcJ 6064/FGxYqGYfacVU7+RYKjtsiHdnIWMXyvn6w2QEKA6X51gxEKlfs0NwcMk zBZ2mlzRZaEnO9QfWo6SUCwuHsbSZiFvapK1LElCNL/xrtP7WGiricdg5QR+ HuWYrkMaLMS1rPPVo2kSdEOyW0p2s9BQwb4LjrMkfKmr11LaxUJlF1J3qiyQ QOWmiTxTZqG4jasml5ZIMDq8zEFAiYX+B3sm91o= "]]}, Annotation[#, "Charting`Private`Tag$2768988#16"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8lf8XAHClEiLRUqhUssK3NMwjSoqSLVkVJStCUUoUiUglDVEyslf2 +thCdkaRce99Lhf3uYqsjN+n3/3nvt6vz3l9nnWec86z69J1fduVbGxsd1aw sf37t8sxFFhDJsM2tZXdd9qXoahYU+z4QjJ8+pkm88RlGfRU5+//2ZMCk5+p 72I6l2CkPK034UwKsN6uGBWyXgIfjYuHTW+mwOw9B3e9uUXYXLvxGef7FKie Ozh3KHIRNBrvaDpOpEDtzvXXfFkL8OOMbIywYCo0cBTk+b5fAJdWyt/mY6mQ Y3iZz1t/AaI7T2X99yIVxPl3rytAf+GQ6SI3tTgVlgycV9h6/YWvPzKvhNNS QT1HTLND/i/MDWwRmjmUBtZakGWUOQ+Go0RASU8a3v+/NkreHLDd+S8l9H46 PPq6cFGoeRa4l33NT4pkwKFcg02mkzPw+pqJpbRmBkS21+wORjOw55u09Qbn DPgSQHN0eDIDqkndl3tLM2DlC92zwuIzUJgUkZsvkwmqnMa6pVemgWkwXqLd nAnKIw//3F2cAnnObhVVSiboedS43mmfgttlFWVy05kQd3p6mfFpCjgkXpVv EsmCffZiPXyGUyBtL5rFKZkFpaUlq9OVpmDX0rHqAacsmG5giWplTYJR4qtG N55seMLecC7z7m94Z+Gnc2VXNuRfjRpqNP0NFH6nJtND2bBRO3BJUf43XL+r 3qJikQ3qyvHmvOO/4LE+s50jLRt4DTrVbK1+QfFcwdgm+c8w1XxRd8x7AkoX 1H9E6nwG/gFKUaPBBOzVI0eqgnMgqnF1m9T3cdjmc1LxakwOqJ8cY1OOHAe+ tA/BXPk5cFKYe6HOYhzm1xrI6FFyYDLSPU6HNgat5flu/UdzoW/0d1vv9CiY eJUFa1jlQphx2+fdz0fhtpzv0iyRC7NrnFlVcgxoXr9xo4xaPlzN3NGSRBJQ peJk22aUD9x++yx8SgkocKjNc3fIhz13hSUSnxAQW+d5vjgiH+ZreytZUgSU fXUSuJ+aD5WHprkVF2jg6fMzWouZD5FrBBtUnGkgykqQuPy2AAJn6sW2rKDC rWYFeD1VCNpttJAbZoPAK5NL1K8tArE618BW+UGQ39Np2yZUBOnS7H6Z6weh TWffd8sTRWDtsRQDQQMg1bjRbW9EEbxW+VrKsO2HgTpWQvaRYkj3iI7Ske2D kxXxvE23S6CW18QQreqB/p27cpdCS0CNFZjdVd0N7vffXZCLLYFMMashZf9u UCqNe2aaVQI26f32s6bdEAMvEl80lgBFXV58ck03/C29r24mVAo/Ltxnn+bp goyiCzeHS0uhNbL6V4vEN9iSs6F/xQoE35I4g9letoL5k7+GtM0IzCOTO5XO t8JHG6KxVhqB35CiCxJuBelNhYXBpgjEhz9FK+q2QOFR/c1GDggmb516rDTW DOo3rV9uykTg+C5ER+tuExx+Z5IQLlsOhhFdj5p+18NFywSLxP5ysO488SVS uQoent7+5g2jHI7a6YhKdlZCwuGwb0FT5eA5y7NH0rkSxnlvaztxVcDWiBfU OzEVYNwUbblRrAKAsrlN9GM53ERnFA4croACyZ3i53jK4cnOPxtLQipgQlBx dNfvQsijaHxtUa4ENmHP0D/XU6FLy/dXyMlKUDv2Um6UOwWm08s26+hjS8rP qCYlwZE7Che/XMXxz9D88nACFAjITpc//7ceovDRIwauZH0QSE+uBKvBwfqL i++g8Pi2ndkjeF1swEVKNRhKEibcwsOr4MObdk3unZEof2Z2u/7xagiW37br /vlMVGkftf38eDUkuuT63vYpRJ8ZDg6W09UgPnG9wYm9CMXZKRZfZqsBFx/5 NbMBRcj/SreZ88YaGFEY8uh4Uoy0Lm14+0C5BtSS1/bkvChFLef9t6Y/qQGb ZO6mU3Xl6Pxs/ampyRrQ0+87r69Whfq0nDax768Fb3+jAr7oavRHTGV9mlMd qO39td65rhGpUtTrgjzrwLzUoSlr5VcUEKXlY/egDnY+2/mnTuUr2rzRkLX7 TR04mktecvz8FW1yPVcUX1QHySECM7JXm9DhFQ4tb6vrIEemKjfyXRPy7H39 NHD7Fzjq4bOz6koLWng6td6m/guIR8l/+urUhl6++ferh+RQ38hp8w60ci6F b/veBhCVvfeoJPEbKqbI/JV83ghSgnE9i4nd6PCydZ5B+lcQtenwXVz6joSJ 21tp8U2gVGGRt7m8F319KN9cK9kCLk5ZEyG+/SitVfbyo64WUPMQ04p7OoB2 hI3NJZGtwG54PbHEagh5ap/34xFoA0f5Ez2pz4bQ2MxAf6dcO2g5S0T0C1KR 8H69tjva7dDTtxz9R4GK4kaLG3hDOyBchKvuahkNrTw22MJ82QEUtNGvsJaG eIU/sWi0b3CDm0etUpyOCnQ69FZOfQMT8baHxGE6enIt98qHPV1gaOww1G4w jCw2tvImXe2CizveJpkHD6NptRSanU83ZKuP7NjtNoLOuRnfUZzsBqZGAhf/ lxHkfqA6Z3NVD4i1K4jet2agt/+/f9+BXnJA0G+MgQbSq4Pbdv0AMa2IjjqN UfQwcpetrWUvXAhYSqXNjKK/9t8iJW73whY9naZMjjEkdYxj6UpxHygFVj+w TRxDMV8/Zmto/oRXXpfeChJj6OTHXVeztvSDy1hCQ4LaOErmMMs2MRkAo3Xu HZmF4+iWsJXokPkAHFinH1pfPI6kx424u88MQqLiyfG/u5mowFAHBZ0bhKBn jE9Re5lIo1TdTdVgEGjTT46r7mMis1DZ3njTQThqKyLqLclEj+U4U9wvD8LZ HKNbo3JMRHcvOc3vNQgrCxpan6kw0YdF0aAzcYPgNTHtwGPMRAeeWi2yNw2C QYPUfxEOTCSwfmJt9fwg2Prv5q9/wETtpUGPTi0OQp75+aO8/kz03HHvmpbl QdhUpOKhH8BE/A1m7D9WDYFP8+zBnkBs/5pFFu8QqIJvY08IE/H9fft7++4h GPEtD09/xUTrhk/0uWnj+HYRwfRkJlqFIjN2vxsC5S7dzrXNTPRD+bjWQPQQ 8GgT7VItTJRRND74NmYIjB3PN59pxdebp8LP/2kI1nENotB2JspKG3Bny8bx xtfDV3UzkeW73Yo/64bArMpOqXwA3z+vlOqIySE40HTuqNcEE4XOGFjoTw+B rpuuo/cvJrrssfCHZ24IHv1ajL/3m4l4Xc/s818agoafF6TuTzGRrR3rsRsn BZhH0h/emmWib1OUj3I8FMi6eaO9YQ5fr8lB3XM7KHCn+Xv8ETYSOcgXf+fU psAVbiWVZV4Slbd2phacoUC+bKHLwHoSbXKa8Ll6jgKO35cLy/hIhOL3itUY UaDUrST0Nj+JBLaE3bhvTQGL/GrN4U0kKp6z4Z7xoECD8MkdL4VIxI14VWgf KKChcKRfQ4JE1hck+F7EUmBnmZYchySJcmc0qMcSKJCz9C66HttKzuvx+xQK OG/patWWJtHnGGqnWR4F8lqXw07IkujCwwLntkYKKEc/SuE9RKKUU5c+lE1T YNR+MXoWSCQvvUsV5ihwQ8fufbgaicp4B3vRXwpUXp7rlz1GotYOiy0VbFTY 0ismZKNOoimL86FVXFSof9X9vOo4iVRvnPP+IkKFWofI55ancPxbVdN2TSqE zzkPrtYn0fm7i3/0T+F1xnHeIGyKVcmLDm0qkKM0Hx4DvN8exZZv56jAIyog y29IIsGMQ5rdZlQwadpYwW9MoktV0vJ9zlTglf3RPnGeRKe6jsVc9aDCkd+O BcIXSPRnbBsfPYIKmcL3YnddJFF41HDduzdUWMcMLXyFfVA3x8fgHRWY8a4z 6y6RyDX7DKs8hgpGUmZjU9hMz/vNkal4TjnkUlBkQyJiNf2JXiUVcn/J8ojY kehhfvbxtTVUOHb1QU4A9u5rPgtldVRov28YQGJf/LrVUbqJCihjS3LxNRL9 fK6tzdFDhcP03GltBxJ17sjiLGVSAbLTvhx3JpF7290Ktwkq0PMuSX3AFnhw 2ktykgr5xtLF89h6dOrIq1kqeF/8cCntOomaUjd/ucFOg5/bvTvXupKoRsE7 QFyQBqvXnHB+7UYimzEt1YHtNAhcPJhLx2aP2jT9UoQGQQ+LpOTdSXSMLcOW fQ8N3A2kE79il9YOHe+XocFx9V+USQ+cTwYn2cOP0+AcyPtt9yRRoHaBv9BJ GlyfFnhgim2uIbE2/hQNrBo9WsOxVx7k5sk7S4ORZ8p63F4kOsvfsrnHlAYB HcokC3uk1VhSyIkGzefXZb26g/P7S11q3HUapLQ8DazHDi0/Krv/Bg0chfzS 57HlM7fJq96iQZS/NN3Mm0S+T/tVrH1pcDOJziFwl0Tbzl7Ri3tJA3MnedlL 9/DzOtHdIf2aBjN85X8DsctVtIxz39Kg/vWbrRnYV/ZLXqh9T4Pe46kac9if 15E2I0k08CkOuOTvQ6KAVVbDLqk0uBZUkJOAbbbQcm0unQYOdaKmddhs41nO XDk0sO7Z+GLNfRLpNHp4SpfRIOP12z5v7B1V9PmcchoY3iwufo39u8jkrkoV DWS5F8Y/Y79JVvA7+4UGRVy6miPYjh+TV3U30CAm7a3zCl8Sqb3d/siqiQb/ eXoyBLHpjxeDXdpp0GJn3q2FXejrzDv3jQZ3L0aetsJ+4jUQ5ttNg637+vk8 sA9cq3j5vI8GEQcHI6KxfbT83+fQaWCqMxbMwG63tDOXY+Dj6XFqzmPv8dAW TB2jQV5vhRmXH4kaYja8iJ2gwWy4Q7g4tlDBlO6OSewDzwoPY19v7l4X+YcG HgeLFI5jb/wbFfB8ngYXS+5pW2Bf2eCrwbtIg1rTsz/tsAv32bAFLdPghc/j BjfsdaonS1evJCBI5LTAPWxLQ8nbvqsIkNqanP8IO9Oe58jiGgLKNaryw7DZ fScmPTkJMHHKEHiDbfyqI3OKm4Buo8DGD9iJaXlOLrwEzGZfHfiEPV/1RnKc jwBj2au66dhnfngPXxUgwNb+w/Yc7F+I31hwEwH1736/z8f+vUbjotVWAtgv i9WXYh8XFhPp3UaAiHhCcgX2q4OcvcbCBAgU14xUY4+eGn/VvoOA9Q+jH9Rh K1u3GJ4VJeDs4Kk79dihN7M3NOwhgE90qKUBe+jJy+YT+wh4H3bXtxFbPtYz uEKCAEu7o2H/HFB4QUtFmoDaH5IL/+J7WlRXF8oQ4MjrXPNvPyn6rkr5/wjg 2bF9/N/x7i2s8sk8SECwsLZLDXYr/4iS9GECptZv0a/EFpVonP10lIBnv149 K8P2gPTc3UoE9GbTZYqwvxg9u/FehYAwBSHJXOxtju6y29UISLTWe5CB7ehn Mh6hTsD12WjFJGz0WjGJ/wQBXrXC5z5i82cIXwk9ScAnf3rVW2ybGrbdXKcJ APqGiOfYeb3UAX8dAvpCCmofY3P+rn23QpeAu1smje5jp4uEbJ4zIOAbR0CY AzbbIZcOd2MCEq6vV7bGNtA2CJswJaC0OFTTEHv2liDXiAUBok9bPRWxT4cu 1F62JsC1quqDNHZU3MCDgUsEcB3mFRfBVm+LX+y6SoByKafRMs7v8OHAIn17 AkylxuZJ7OFFh1vNjgR8D3rI1v/v/ZE88KvGlYBVViBVhN2vtin9mDsBNj/C zn3C/s9k1r70JgFPDec7X2B3PSij5dwhwHvIfYUD9q6fp3ti/Qloto39uQE7 qFIpwyiQgLzSsJmZf+//J+kAjmAC1IO2Gv/ErrzBK+8QRsCGFS5D8dg2a9uf HogkILAzQF4G+yuz8gotioCZuLCbvNiHOj6rRHwgYO+9PUtMXH/WRL8cm4sn oIvvYn8yduLB8ycrMgk8b9jTt2PzCZ4WcfuMn99PNtNpXN+8lhT/7Mn7l188 fK3Yp+uFYgOLCVhtu2zgiz1mObikW0vAgV2uMr24nsoEXc3r78X5d42u6Yjr bcR105CwfgI4ku7sV8JeNjxloz5EwMpDRuac2K07pPgT6AR4MDRfxOJ67ZpL Ojn9IsB3VOVay20S5Qx67F1YQ4e42q3Nq3D9F6q9spDGSYdmbSnNL7hf+KeY dFito0PsZo21wdjGNxV8qzbQwW5uwp4Xe4Z7sS9IiA5FYVpp626RSPHIw3DB A3QgQ9tVhnG/6rokeDhKng4W+38ejcN2C03v3nmEDqHWMxHW2KlEzzZxZTqc KM7y7sb9TyR8f8xhTTpIZ0dPlN7A/epXV5qBGR1qilRDnFxI1JgsURfiRwd9 n34ZU9yf7brK7Db40+FzuUPuCuxVKw25Xj6iQ2RDZkyyPZ5vzt878+4JHXyo OSnzuL9ncnR0JEfQgYdJPHqB+3+4jfdgXTIdDpZ/u5Foi/ulSMvcig46RFRc +2BlRSJewRu5xZ10eNVJCjMtSVQhsMnVo4cO3T5CDC9sMc4LIyM/6bDHodPu mQWJWJP0rpYROhQTHnwFeL7xq1/6HLVEh4eHeDfTTEjE1R3rosI1DPnFdsZ5 Rjg/3GWcFSSHgb/6v/h8XdzPrrdJTEoPg2TnGQ5ZbB57dyJVdhievdheFH+W RDesisx3HhoGYSNJ/mdnSKR0WlObQ20Y9h1OCLXSJlHzDkvxTqNhOO5xr6lX E89XDSEUF99hkN9fxK6vQqI+7k67hQfD0Kv0V7JMGee7jhDrUcAwrKseKJbA DmtO/hsdjPfP6d22rEgiyfa6jU0vh+Gi/+uWj0dxP/i+4qRE8jDY7OzZ3XyQ RLXDHilD7cPQwX99MgfPu69XWbrr7xmBLeFW07UCJFq6vOVQm9gIpOrGZ23A tqlq/aMrMQJmCgGDF/A8LeenceuMzAjUEsZvSDxvf1kWv611dARWWg948uD5 fGZ+0kdVZwQ0YzoX5Nbi/Pv1OFjSfQS40s76rl/A30P9uR9XVo+ATXFsxn4K E62+62uo4MqAuyccIf8jE3kec13dGsOAON/2LcdCmYgtyTKDwj8KX9UXRWMt mejG24wQ/spRUPj4Q9SVm4lKpQLXbnAeA5vqQkPnzHG04fQNaT/ecejUT5e6 YDCO+va3dniVjEPqQhVvCv5+zIyGPTRLJtwerjix79YYssg4vEF4iQlXhop+ nGUfQ/f9Y3z7kkkwOzsWcu7uKEobEY7k1WHBk+bfq57OMlBglL91/1kWbHZK st0/zUA2+sy96XosWHlz4kDjJAMJlZRknjFhAf9qdYHVLAYKenqh9sklFjiX uY65Egxkd/jNLy4vFlBEGIuy7Qwk+nCjFkcCC/Icr9WrpDDQ0lFvnu5EFkwr JVXXJzLQdya1PSGFBdLnVu43SmCgMJPPFppZLNDZy3fCPoaBliX13fxLWGAe vPZFyCsG6mt7Gs3ewYKIXU1JBQ8YqCBg5nJHJwvY/Nw8lXwZKFzJSiK2B5/P XZec0nsMpB0vk6Pez4L+aW/3ci8GKvJsqvdlsODelxOb0HUGith/6KneOAs8 p9foqjgxkCvlneEuFgtmE5Wmi+wZSFzHcaB8igUF+TwhObYMtGrFt7iwGRbY bM72lrvMQIO5SvbW8yxwX+r+nmLNQCX2sbJyiyx4SPjFiVky0Ksd3H+Wl1lw Wzmv78MFBvofeJHJ5g== "]]}, Annotation[#, "Charting`Private`Tag$2768988#17"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8Vf//AHCaRpQdGSkNklRSEa+iUMhIVkJGJFRGqZRRpFC+JaUkPmb2 zMzblihbpYw7zr0X93bJ3r93v/vPfTwfj3Pej/d5nfdrHFmHa6bOqzg4ODw4 OTj+/WflbImIC8qBj3RTfvHBFdC95WJwMDkHNCJHs6u2r8DAnEQatTUH7H7n zVulLoOP/zfOmKkc2GfoyJ+luQy8K0E2utK5sJN7Sn+WtASvr1jYKurkwuZd H3v+RC6BXLeivYBnLlQo9U41ay6B5ofvjr8+5cK6hT+jcpmLUPYhprhEKQ+u yeg1XktYAA67INUMrTyo3fQiY7PDAugIu5fEmeeBHOpO2LVjAbrunygLup8H GnM/zq7NnQfWOWal/rc8cP4jP+3TNgcq3N81NMl5MJW1wbEvdg7uVNVUKU/n QbP/5jQB5zlYL/+qWkQ6Hyq7Mv98W5oFRbdt+dwK+XBRhaYqMzQLsssn6gc9 8sGxKuJx8uFZOJ/+qsWbrwCMudPvvWiahriLwQaXZQugQHQ+dujtNJAFPb5a HioAZpS9Qcr1abh2T6tN42IBfLZQf/54yzQ8NmV1rs8ugESqiafXzSmomCsd FVEpBLGv/B45npPwaVGr761BIRBau+82a07CDpM/jLrwIrgvSLKP4/sLEgG6 ai6JRZDyvxsG8iPjsCk7IZynpAgi8tdQVjWNwzzXOSUTchHoEe81XwWNQ3t1 iffAkWK4OzWWLTc/Bha3q8K17YrhqZgvvb96DO4oBy3PEsUwRKkmOtls+LZR WFjpeAl0c1sN/gUm1Gl4OHecL4EYbRd1fy4mlF5t/OhztQQm1Wlcrh2jkNTk Z1URUwK9XGbHHJxGoarVQygwqwSIYSP/NKVR8Avoj9djlUC5kY1QzdMR2MZO lXd8Uwp/G8yuH51kwK1vR+H1ZBkUHhyTDlgggF+pmGjmKoe+dXtCnToIUJHr ce6QLIeH08se/WkEdBjs+ml7qhzq7xbK3jUjYE+LsPeOmHII/CUlK51PhcEm dmrB4QpIu7uH6PChgG5NCv/XO5XAzkzfG7eNBANbZYuXn1aC0ddoBb6VIfAJ jLugnFQJO+OdzDJ/DYH6p+T/WeZXQsW6D9ob6oYgEV6kv2iphBnpgByPl0Ow 8ClQy1ryE9w9XKLGwTsEueUXbtI/fYKYSzJWkov9IFYkMMDJiWD3+Kyn+Oo+ sIlYMKOKIjBm110eqP4J/zkRLY2KCHymjqVP3f8JiiJlZeGWCGbvp9tvXvwB ZUdMRc9fReD8Nbu6vP4HaN20fymShyDG8919yfnvoBpnkRq9rxrMeSkHo9f0 wiXb1IvpA9WQp1widNyoEx6e2RIbO1wN04dnHHaKdkKqalT3k8lqUNUvWzDo 7wAm/x19D54aiFK/ssfKvQPMv8bbCu+sgaCqjqo7g+1wExkePaBaA57d4YX2 ke0QsXVKuDKyBo41/gx6UfwVPpK1W9uO1YKNywT77PEm6NULGo/UrYXJ8y/W WA80wnROlaiBaS1sWJ47+tm/EQ7fPXrps0stJF+f9W4pb4BSoX3T1c9rwT3h ovcF9Xq4nJ8glJNRC2WNt33r3Oqg7KTE1gJGLajkVfVtPlsDlalj3tHRdTB7 luaJUx9KZma3mJ6sh7ve70Kf93+AWrd3W6yY9VAtOhLarfYICoevXrWdrgcO vtQr60qCIdlVrcKRowE4bMceNHn4Q8jl79aewtjPHNarrnMGPQeBNw+ONUBg 8LZV7Qt+qM0qZHNORAMkeK+TWpXxClnNNp+enGiA99kGG91SUtFvPQ+R1Xsb wXjdjRZWfBaa2qmxMdujCSwteba3/P2ENMlaTU/8msCYyHcX8alCoe/0Alwf NEFgrofN/GQVEhU2Y2+PbYLZ9u6dMVMIidwwLk8pb4I73asG2quqkSrn1bY3 9U1QNHMlSGCuGvn9ev0sbMtniN6nO36PWYsWn01udGr+DPWWPAsueY3oZey/ XzM8iby0j0V8QavmMjdt2fEF/JV+EtSSr6iCrLSg8LwFDHJ6ZbdKdyLVFfuP 53JaIVqsQPJ6WjeSIu5spqZ8hfzzP/fPRfai1ocq3xoV2iAj5JYmPPmJstv3 OT7qbYODX47cMsrpQzJRo3Mf/rRD8JLLntCtA8hP3yqYT6gDKpVRj13EABqd GRzoUe6EdjVNp3zWEJLaa9JxV78TOq3THhltIqHkkYov/E+7QE+5r826kIxW nRhqY73sgj3P5iZMK8mIXyqNTaV2g7cEv89aNSoqNegyWTXZDdtfHv6rdZqK Iq4UX06Q64Wnakk7XP0JdFG4nf+DSy9MzOXOnCkl0PTxTKprwHfIDljroVpA Q8be5nfVJr7D0OP6xd98dORzoL5ItO4HuPOOmVkV0NGb/4/fT5iR+dj+RI+B BnPqwztk+0BxC501ksZAD9/KOjvb/oI47ixOutswWnDrfit/5xfo/fnBz+k/ jPacWL98ueI36Bhvr/VQGEGJrf8VaOv0w9lD/Lzh7iNI9z9Zl3yxATjTKWh9 on0EZay3LrCwGIRNZuOl+Waj6JaU3TaSzSC0vy7nWDIfRYrM87zfDYfg3KCu dkbzKDr4zG5p9dchoIXltnWLMZHQxjGu+vkhEFa8cWXiIBN1fnry6PTSEGTs fSxie4iJnrvvWNeG61rx6ZHWJlUmEvxivbpvDQn+ng62fX0UO6Rhic1PgkfB v4SUgIk2Lbz5u2U7CYpOWy7tOcNEG+infnvrk2B+me+mtx0TrUFvc7fHkYA/ tp6p8YiJ+o6d1BuMJ4GJTnBqaBgT5ZYzh94kkoBCEjb99piJrD9qCAqmkYBJ ag+wjmCi/OxBH44CEvg90ta4/D8mso3brtbfRIJ7q5/7679lotLbmfUxEyQI SxUcPpvDRE9nzl00nSYBl8gJh5u5TOTouzjFN0eCV6mVPXF5TMR/w3BXyDIJ atISsmgFTOTsyn7szU2G7a/UZD1LmKh7kvyfMh8ZlKLMbf6W4ue1OGhkLEOG nQWqtgbVTHRVpeIntz4Zqjcfp+p2MFF1e09WqSEZtmnttDjTyUQiHmMBLsZk 4Ki73qPfxUQoZcfOhvNkYItLTOn34PiLRXkF2pPhZRpP0/GfTFQx58Q740vG fcKZvjjERLyIX4OaQAZNtdXJ1Wwmsr8gv+lFEhnUOw3Gk8eYqHhGm3IilQwd rEXjsHEmslO+/fh9JhleXLuiZzDBRIWJlB7rj2TIrrWWap5mogsPSz07Wshg LnbvacwSE2WedkiomiZDkpv0ShAPC6koymrCHBmGTNlJ6rwsVMU/9AstkMHi RHXAJHZ710WxGg4KbFJZ3+/Ix0KTF62e1vFQIEAr/cDRTSyk6WXs/1maAsq8 fzyqRPD1bzQtO3UooK1jrqmylYWs7i1NmZ6mgIFjhkAPNtmu8kWXPgXUD62S 9ZXF68mptXUbU2BPhOVkwTYWEs89pPPdmgJkyf4bO3awkEOdospvTwp8sJ8Y JuRZ6HTviUQXX7wfPjXiwh4WmhqV2ESLocD8SckfPQdYKPodvSkulgKe/e3T Vw6y0EGjooBzcRRovhOnsoR9o8CQXZ1IgWj2QX7ZQyzE8gv89jaLArHd/pq2 h1mIWEuLMKnF++edqMhRZ6EemXzuTyy8f9mUKx+0Wcin416N9xgF3j9Urpc9 yUJCD87cVpiggEROoHYstgmNwng1SwGeQzL5IadY6GuW6Gev1VRIDpAxNNNl oYaj/qG7xakg03405/MZFio+p7s6+iQVtL+Qjm80YaEw/dIQSV0qXOlcZX0Z 20ZbnivlNBXGS6pKK7FXHeTl+3iWCuXZkboupix0VrBN9IclFTqZB3IKz7EQ o91cQdKDCqmSVZXy5ixU8bkpK/kaFYYSDoAv9tPqI/v2elHB7+p57mpslTwJ Fc1bVAhP2O17zoKFgp4NaNgHUWEz/WXODUsWkjh72ST5JRXUowbqw61xvE59 71J8je9fdu9owa7W0DMvfkOFI5Czi/cCC13eq3Ch8T0Vdth9zn+EXbjhjxPj AxU013eCnw0LGbT4+ilW4Tmrvs72sC0LydTR5ouqqWDroSfijv233OKeRh0V ngnfFEvAjs04Gnz2MxWclnVX1tqxEO3xUvj1Tio4RMvZN2MH6IW8L6JRoVg3 NEjpEgt12rraKA9TocvGf78FtpyvvnjWKBXWvJ09FID9JVHgRdIYFcY6J499 xRZewHPAPBUkNQV1Ljng/QsEafMvUYGPw/jdQ+yyXU4cT1ao8EJh6nQatq2Z wp2gNQRkXiOSRrDTsz96XOcnoID3ysUrjiw0XxerwNxEACpjOTzCNuzzp7sI EfCbo7QqGXscCZqLixAgn+soUor9d532JbvNBCRHhN/uxz5m32Z2dhsBrRf2 reg44fd1s0DgixwBi3RSmR02KeLlt1O7CBhWK265hR1adkFPQ5GA2GGFqRTs dkGGuqIqAYENeg7z2NvkW2bTjhBAOjT7g8+ZhXwhp3i7OgGspIS0rdgS7j77 thwnoKVY1/AktnuwBTNGi4CRvrty57HRa7UPgqcIMOUQNnPGdmrg2M5zhgCu tr7KB9gff1EGQwwIWI7TnP4fNvffxjhOIwKiiq6HvcfOkY4UnTtHwNnwDyWl 2ByHrnf5mBOwV4gwq8c+p38uasySALmblvpt2LO3xHkYFwlQJhmdpGCfebrY 6GhPQIM5ly4T+13y4INBBwJuBl9KmsQeK689fsGZgML7vlaL2FodKUu9LgS8 sra9svoyrgf0sHJTNwKWxFW7uLHpS1dvfXMnILhY9NVGbDVhI5Uz17AlJIqF sSMUDow33MDfBXus94pjDxwXyTnhQ8DtqrEVSez9FrNun24ScCxhRnEr9kOP X7uO3iZA9n9hRduwex9UUYvuElCm8ylGDlv+TWKi8n18/9Xcrh3Y/nkPbbMC CaiL97u6E/tbo8uW3Q8IoPkcsP1n2f4zP5JCCNh/azrz3/VPatVzz4cRcL1s o/K/9f6mKYauDyfA6JTiX1ls60ipi2WRBBx55v5XGrvWi1/lahQB9otjyluw FSxXeKRe4PXJP7NFsV9ojJG+vSSg6rHuFQHsxW2k0sDXBNTvtnbkxXbi6nx2 4C0BXYz9cWuwW1m1l6nvCKig/BFawvE91FWoEZNAwGm5/C//4h9fmiysl0SA berr6lHsdfEvR+dSCBgyb5giYXs+CK3NTCfgl5CF23fs7663Yi9mEuCX5SHd ip1+0Eq3Jo8AXsf0U4XYm8TPSHsXEqDbw1uWgn17WW1K7iMBeS1e7q/+nYdm yaSwCvy+9Jtf+GEX5PDdUasiwLNwZr3rv/McvWzMrCYgzSat0hx71HZo2aiR gAPP1jP2Y5ud7OjhbCZAL3jaVhq7Ur42q7AFx/sJRZQHO2IyyVoMfzeGb1A5 M4jzR+mJy8eBXzjfZARqA7FjrllGRg0Q0Ot47qQL9orZaSctEgFvc55wGf7L P5k9gqk0Aj7XmFqIYt8o/uPhMU6AU3K8QALO7743gydlJnF+6g2mBmJrBbZv 6ZgmoPI8V4A9tqB+QbPKIgEnTCJmpbCLhnx3LK6jwTGdFKEoXG8kGy8vZnPT wH+jd50bdkimRZfdBhpwbRcvOYltfvNoUJ0ADdwEnd2mcX2b4V36/USSBsFe R9eYYKsdfhgtfoAGTp7PpSm4fvY6iKu+U8HrnZR2Lcb2fprzfethGvCr3dz4 CDuL+CGx+xgNym0Yt3ZjS0fvTVTVoQGfulOBI67Pq8Z7s89Z0+Cy3kZyBa7v 8ZLuRt9taDBSoSv0EFtdj3Pc2o4Gu+VRkj62z/s9Kg5ONBA3aCT/wP2BZhhY ft2TBub8hb9GcT9pyZBvigymwZx9R+sE7j+uvVWuAiE02Dgeu5iPvWaVGc/L RzSwCuCJvIataXXfMC6CBs6hx9oZuH/lre/qyoihwa5SY3IX7m/RTv5DTRk0 sL56Xy/CDPdT6bY5zi4aSJTLF4casRC/uFdxRQ8NJoLYo/LYNUIiN3x/0EAg Jtmt9SwL7eS+wGD002CQU+/4Rmz2BK23jYHj2WRvFGHAQsHNy4Xvlmkg9myz sNNpFuL5nnRdg4cOV8L0G6Jwv0/3UfI8qkAHUykR9hMtnK/XOuQnFOnQlTVg LobN5+ZDZO2jg47GL+6kEyzkZVdus/UQHRI+dpqUHsfxO6Ojv/44Hcq77rn3 aeJ6IWO7u+c8HfYPFZEX1fD88yWSfD2IDufTWwMq8Pzzm7fHdfEBHQ4GeKWp YdcaSLIfhdKh00BWpWw/C0V9y1iID6dDUh7dv0gZ14fOJuGvL+kQsPrwtyQl 3N9+curKZ9AhpAEFOiuwUCPdN5PUSQcZ9c8Z/+a112tsfUzlGKA7kLrtK54H lx3FDnXsZECukL6rPLZTXfuUkTwDfnN6SIVsYCHlYO1bhkoMGPxztVcNz5Of V3bf0TvCgPEO2ZD3XPh8zk8EaBowYN/BYorhanx+xx+HK/gwIK3PUBRm8bw8 UPzfqnoGHA5rrbmJ5+OnG+7dK2lkwJ/HG+7GDzIRj/pJS/dmBnSKkJ82DDDR qtedfL3fGEB3iW0U6GeivyZsvw8/GZBxVs/vPzxvtzfsNjJmM6DkxtqpZDyv R2S/XXgnMQwXxvb0KNUz0dp7QWZHbwzDJdEZKesUJvI7cWNte+Iw+M8GCPE8 ZyKOD7a5ZMERWKD2R212ZiKvN7mRgrUjENvgPtQqwkSf9oRxCXiOQmxNhYZj 1SgSOOOlGMzPBH9vmd+3nUbR773tXbcrmXDdRb13zfwIyosHOaotCw7ID9Es no6gi7mqAlLLLGhtniqQkRpBgSGJQb8z/oBegVd2W+wwymZIveU3YIPrVguW i9gwCnsXYj9wlg3V8bN3NokMIydT1o4cEzaUejl6lQoOI8nKyjxDCzbstvwQ v45/GD15dqExwoENWWnBrLdrhpGrauw4z202NOoj14xxBtr2UFhvfSob2oXm ps1bGGj5iD/f93Q2fGk72MT8zEA/WZTO1Ew22Bxp5wxuZKAoi8KLOvls0GuF jxk1DLSiYOodUskGMxFfyakSBvrd8Sx+dRcbRlI5yB7JDFQaOuPY1cOGDDF7 6/lEBopWt5NP+sEGVaazRuh7BtJPUSrSGmCDkpavdtwbBir3+9ocNIz3u1nE uCaKgWL2HnpmwmTDzRMS0qefMtANcpyZLJsNDiY08/ZwBtpt4D5YPckGA14K V38oA63h7E6OmmGD6dstwQ4PGWioWN3Nfp4N6QMKl+lBDFTplrRPeYkNkpXC xVcDGOiVDO/UygobUkX6Pdn+DPR/331AZQ== "]]}, Annotation[#, "Charting`Private`Tag$2768988#18"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8Vf8fB3BUiOyRSkOojFBfSda7NMgoDVmFJCqpSKVN0qCiSJmRUvbe 42NLsvfm3nvuvZyrm5lR/D797j/38Xzc87jncz7j/X4dGYerx89zcXBwXOLk 4Pj3He7g90VAMR3OHoeRZ/NLcGTAex/vznTYVheQ++zmEgQHXS6fP5gOTStQ XipzEXoMLfaPWaXDhI4Ut/rDRZBZ3Fc56JoO+W82tU7ILsKFTOWDLd7p0LBZ omZZ819IubC6uvJtOux7UFte6fMXtFtZNfHF6XBpS2+j1PQfMP/6ru66QAZ4 HQz5zD+zABFnHpk4yWRAKP/sk7yCBaCIutZb7soA0y9v++q8FuDqff1G3TMZ 0Jez2ixeeAGeHx9r4UnOAO3b61TrdOahcC6PlFDPhC35iaYL07NQ/Ee/J9wk E/68nkyPLZiF5RnbbV7ZZ0KZ6/Dj3S9nwchZqs/LIxOEtjYGWtrPQmfzWP/5 iExwFayWU+WdhfG498OqrEyw8HXPyT/zG+SP/WRW+GdBa9J3IYf1M7D2oYGW c0wWiK9yHm2fnAbh5Gh/vtws+HXT5V7W92mY5z2hcoySBRX2ScJfb09DU2nu 9QHNbJiStqQp9k2Bxe0S//122VAbq7CVO2wK7qh5L84S2TCTcNFnOn0SGoTE xVX25sKzwuwlx5BxqNB1Pd9sjq3VpjlwcxzyXKpzPFxy4VeNfkeQxTjE1nha FYbkguK1yqG0NeNQ8sNVzCspF/y9hHp1Fn6B58P+KMOxXFCYmCsKj/4Fm9lx CufC8mDD69T0DW5suNWwB95P5cMugUMdy9awQFAlm6jlLQD/wyltFSMkqMu1 n2+WLgBxB50Y5UISmk22dtseLIBTjKW78WdIUKoTvy4fUgDcPBpGoXGjMFjD jsvYXQi31Cokkw+MgEHZZ8H6O0Ww59LiFu9kOgxskslefFUEL/sHmBRfOnh4 RdioxRZBY7F8n6ctHbSLP722TC8CjxmdywL76RADQV+D6opgYVDvMQjTYaHY S99auhh+55xyUbpJQGqBzU1GcTG8tm/K3WBMg9VZIgOcnAjebBVoKZGkwOkX CydpkggevxpPWDkxDB8dibpqZQSr+H8+9qkfBmWJ/Hx/SwSEV0w8l+8w5Gse lzR3QXBj4f55K6dh0L9p/1YiDcGS2JvfsjNDoBFhEResWgpRhv7MvWWDcNY2 7szXgVLgG5qZMf7aC4+N1oWGjpRCnE/5noMXeyFOI7DNb6oUBJc6zJ8q9gJL 8I6xK18ZSE2qsqjJPXCqPspWfEsZbIhX1fAS7YGbyHTPTo0y8Ljd9Ymd2w0v Nk2LF70sg/l418cDXZ2QQ9n/o1GnHAyVozW/GbVBh6H3+EuDcpiI8OpiiLfB TEqJpMnxctCXeWMKg62w++6es9+cy0EyW1A72KMV8sRUZ0rflENHHuevupgW cEqPFktJKIcDlGGJHaotkH9g7aYMZjmoVBXOyXI3Q1Hcr+vBwRVgMq795CSz DnJ/z647fqASopwdiswVqqH8UuQ6K1YlqB9kn2QklELmiIuL7UwlSPObreiz KYVPF7QKz3FUgaOjvomoQCn4OnVaXxGvAsutrncfD5WAoYNImI9OFXiN7zlv ch3vAytfqZQXVXDN/PTOi2m5YDVbe3hqsgooe/kM+b6lQ5+hq8Sy7dXQ9OCa +ARvMkxv0RVKdq2BvduzePJtHiM9in6Nnye2yR9j9Ypn6Emk4cMLPjXglSqj qbT1JZIUP8mWDa0BjoX97CMTb5CEm1nB54IaKBysmd/5IRRpcLo0hlXWQPT9 pmLe8HDk2fs+4Nm6b6DWtqRZZBqH/gRMCTnWfoO0kY7N0VaZ6G3ov08tGF0r 4R3zKkJcc4nC6+S/Q1qLMa/XsTJUSFFZUHxTB8sMKI3j574hjSX7nBMpP+Db lVeSSkQ9Wk/ckaJ9rgeuw0EXHTmb0Y/H6g3Vio1gn3EoaEynDSU3qZ572tEI itlHDoZ6tqONgeRc/M8mcOTIXrlxZzfyNLZ6JCDWDHxvfq96GteNyN+DA+1q LWCS3i1RpNmP1m8/1nzXuAX642Sazvn0o0+jhd8FX7VChLhhgp/vEOLaN9Q4 9rYVBJ+4iOwKGEKC67+wabQ2IFVjE58rUlCeSesxrqk26PxtZTKtRUEvLmY7 Rct1QOHewgiqLxWdEW8SjHfugIC0OBvXaiqa2ZtIu/CwE9zMw3rKW2nI7Pqp u1qTneDQ0fH0vQaBPHZWZklWdIEeLc1vjkGgsP/PXzfk1CTv3uRHR4Mplf7N Mj0QkOKgJzVOR4/DZc6ft+0Fu/KhltkKBlq41BaucKcXbBcu5N7qYCClfTyL ToV9YHBOd8eLICaK+fExY/+hfuCpu9N4rZeJDD7KOKevHgCrqCaNAYMRlMBj nWFhMQgO6/6eu9M1gm6tt9s8fHoQyH6LTws9I0iZZc7faToEs2dTP3ZZjqL/ Auz+LqsfgvrD4591U0eRmNAv3sr5IXgn5cRzvGEUtRT7PT38dwgk7mkW0xpH 0ZvL8tyNS0MwqLvZ/WbzKBL9br2sZ/kw6Nww7glpw/at+ssWHAaVBavEup5R JLwQNrFOdhgIBWn/FYxRtIpxsO+68TBI/okRKlocRctReKpsxDAkBe5Q01ci UY/OAcPBqGE46uCilKlMotQC1lBYzDDouobyy6qQyDpHV1T0yzBMnue8t6RG ovTkQQ+OjGEIUtCXT9QgkW2ErFZ/zTA4LuPtrd9HorzbiZUhk8Pw1AA69S1I 1DpF+agmQIHP4coPqQ4kclEv7F5pTIHm3uKk+QckKm1qT8ozpYBqRG6cjBeJ JFx/PXQ2o4BFymy0gTeJ0Gf5LVXmFNCdMHoX6EMisdWB7l72FPjEXHot+YxE hXOO/L9vUOBFNpqeCCQRPxLUpUVTQE0/chM7hkT2NgrCQbEUuPDZMGzmI4my f++n7oujwA+dxnV/Y0lkp3b7+YdECogctdzNE0eizBhqu3UOBSaNCzuEEkhk 8zjvSnMdBeyWXx6ZSCdR4mGH6JIZCnBZR4xxlpFIXVlGD+YoYBlno9KLXSI4 1IsWKMA0c4zMLCdRU+uZ1WUcVLjNuZzHoZJEU2esXlXwUSGJbSGQXUMiPXez e982UOFeCbFKvQFfH6Zn2XKICtaTEzzvekhkdf/v9PHDVOgtjHc61Usiil1R UKsxFXy0xOfE+/D/yWk1tplRQfRkUn5AP4nWpO461GlNBYs791LuDpHIoUJZ ve8KFQYPzPptp5PocMe+GOcbVDDdA+7jDBJNk2uF6SF4fO/2q8z/IlFwJKMm IpQKG7IMjqeMk+i/o1kPT0Tg+4ULvDg7QSK3DFN2aQwVCqq+7quaJNGYp1dD eBIeb0dEgfcMiYgV9BfHyqng9kJJqHGBRO0b01cWj1FBuedQeNEKFvJovl92 /RcVPvR5dZ7gZiExH6PbipNU+CgWqTqKfYxOZb6bpUJXyx51cV4Wqk+S/Oa+ jAazp1SDz/CxUNWee0+2raGBdo5YV5UgC2WfMFgWfIAGfBzHMsckWeiZcZ6v tAENFq/uj7RfzUKn9yvwfj5MA/fqq1Ut2Fz/8QvkHKHBcS2e5iwpFjoi2ijZ ZUmDwc3y3VfXshCz6ZSitCsNnvz0/VG2noUKv9UkfbpKg9SGqYRtG1joVamm 6nZ3GpAXe2pfYaunrVXXu0WDVT9Cai03spB3wICuvTcNKoIS26ibWGjtEadj n97SIONm3e4OWRYaO9jZqvyeBiKH+FR2yLFQqa7hqewwGnR7sZz8sZ22K9pU f6DBsI5cjK48C2Wu+unIjKeB2lNp7dAtLGRSd8NTuYQGA169m7crsNBDQ98P WXQa6E3VJX7bzkItthdOq43QILx0gsanwkJyN4zXJJE0MHfadNkE+3uMSFDs Lxo0a/Gdr8cWX4h88maeBkwul+U1qiz0NTnH9ZogAfPS9WKhO1hoviJUkSVM gNXt19pN2KY99xjOYgRwh+plcu9koXEkemqNBAHvLRpllLAnuPeftZMiYEdj 7Rs3bB37xpNHNhNgOzcoAf+xUJMoU1tZg4DPbHQwX52FNivUzX7RJODkXP9t AvsGpGTLahPwPTp/SXgXnr/LHqrr9hLgv3c9pxO2YxWHLJ8RAc2HCvt5NFgo p5c66GtCQPxa1kcV7JUT1RGcRwnwUS8tOImdsuGl5NwJAmo2VVKisGdvreFj niHAwd18tdJuFjJ69af6nD0Brx0LPUywIz8N+gw6ELCw9Yu8K7Z+8+e/Hc4E 6DzwepSE/UJx53iVGwF79YyUZDVZaGCvRMo+DwL06T+3AvYOi9lLxThHSvXM elpjd/iU0LLuEqB2L1EqAFum36gr1peA1pHAY7+w/cq1U82fEaA49aWbdw+e vy/KT3j8CTh4Lvf9Juxyd0F1l0C8HmuNi0yxFS2X+NYHESAtLCFzDjtI99dw w1sC5Cocim9hO/K2BOwMJ2CORzwyCvvHWLkTLZKA2IqioTTsXa2ZuiHRBEwG Xj9djs0d9Zac+0xAPufbPxTsKz5PyhO/EuBmekBmArvzwq3QM4kEWC74PeDQ wvvjPyuDsjQCNNc7U9diC68x2nA9kwBm3l5yC/btRa1puRwCDnBrKe/EplCV fnTkEXBo3CNOB9uoVjr2WSGeX3Mx60PYGSkCd7RKCAjk2G1wFHtt8KIZq5QA p2TOKxbYj26zt0ZVELBy5dsGW2zSdmjxaDUB+9JEL57HPnmguZ2zloCNahG6 LthFCuVJmXUEzK44YXINW04o0+d8AwH3P1i+9cB+MRVrvbqZgFzrBilP7Knu 4B21rQQIPWnvuIN9Bvny3u0g4IJ9QOM97OpPNweVuwlYtWb9sgfYKn7OOQO9 BDQ1fnD755Crli8DBwj4E6y57p+XTh521B8m4M5FXo772Be0tLSnqAQU6qlt uovdtFFJNI5OQMtM091/99dcIT1iMULAPUd+sRvY0aOrSley8Poac9D/jZ+3 6W9I4U98vW3T1L/nc8v+6eo6TsCtAxHghN0TNnhg4xQBya8fV9th63s1rWue IWDoR/xzS+yE82UTj+bw+rkqPzfDFjXOqFX/Q4Bqr3KVAfYdtdho+iJe76t1 unrYVIngW+856SDisW3yP+ysoRvyf7jpwJ8YJb4eW7ra6U/ySjrs3jLrJYzt m2jRareKDu6xgYrLsE/d3ONdIUIH29eLu+h4/5TYKFreEKeDT6vY+w7sLfvW qW5dTYf4Asbuauzf/H/7/KTpQL9ltCMW2358LFNnIx2446X8A7G/dQz4/ZSh w9FdcrL3sd/HlGoe30qHkutugiextXY/Dl6zkw5U6on22X/nzWGNRqQ6Hb7Q mM3D2NdfpXRu2k2H/cYJW75jJxFda7fp0CFaZ3X3e+wNwdtjNA7RIYht5aiC XYDK9QsM6eCWKCovim1BWtB0jeng/K5Ubxqf/0D9R1sPmtFhJsTufj4213hH 8glrOqgt2itqYUdJXz7aeZoOy83uZEthaxtyjlvb0eHHyJGwGVx/PD4oqTs4 0sFc44VbGjbd1Kvg2hU63EpYbiWNXZegUPPyER3ktmvItON6eKGj5IIIfq99 Xu92Ih57OddJvrdP6VA6wxq6h61n9cA04gUdzj7lFNyMncbT2poQQgflPr1M R1xvgx3vDdUk0OF4ZLleHa7faoEij4zxe/Oh75Jqb7HrC+NkG1Pp8OGK3ANb bG6xZqeOLDqo7q5VY6uxkGeZ/BithA4HTMoneLFPb2ic42zF79niUX/X4/4h uMY9u7CdDlfzRS27cP8pE5Nwu9FFh33KVlOvsbestGEy++lQPNowwYXNnqR3 NDLp8IT5iK9PCZ/v2sXMyEU6pMvwlVzC/Uy9MuaqBScDKiR49q/BZpQcUBJZ zoCbryL5a7bh+t4Ze02XjwFWCZvKVmJLfJB87SLOgF6tXrPvuD9+9VC5skeR AXVRP+bncb+1vtqsMKnMAJGZS9WR2AKXPIgkVQb8vX+mE7Dd7QpOb9rFgFWr kmq9N+P1MjpkzLOXAU/a6BN/cP9u2Gi7rd2cAWfDnK824Tww/f0l5Zo3AyZE 076zcN7o42+/8MeHAXZXM1W8sMtNpNlPnzBAsaRtQhQ7sCFhIcqfAV+YleEa Erh+t9SI179lwMFrse43xVjItpvTQCGBAcN1dw91CeF6w7iRONzCgErzXgl5 nH+SthXvcG1nQP5pr8+feHC9v7g8b7aTAZ2iTe9kse3JN5VC/Qyw6S35tBHn p/mfqf26DAaIb1nmILychVRnRoTCFhigy2F+t22JRO+X23ocl2NCUmtHGgPn tcVzq3c1b2HCebHQ2FPYjhVN00cVmPAt6Tpn1TSJ1B7tv2WqwgSbwrzFD1Mk +ra07Y6hJhPOGV/jPIrz4O/5yYd6Jkz4MsTSeD1GolPjz/0VPZjQWG7eG0fF eX0g+yNXJROO8P8uXIvz7atV9+/nVjPBVUYo0LyeRHzaBywv1zLBzIeZH/CD RFzvWwQ6GphAcVIT4qoj0cQxtmd8NxNyDYzLB3BebqradtSMzYTy+P2nPXHe fpEcvhC5dgRkhFeNKmeRaMV975N73EbAzjnr84d3JPLc57aiKWYE/CplQ5/5 kogj3jaVIjoKo0z9W1dtSOQelvpStHwUfpzKGDksTKJipWe8IldIeJSgLJFV NIpEjNyVHwmyYO1CxfetTqOob3tT6+0iFjyeaeTcvDSC0qJAjmY7BlwrQx/e DhlBZ1I1RNYvjoFWUtgl/m0jyMs3xrsv4ScMqb1WCv7CRMnM9eGCJmwQVJNU S9zKRM8ife0HjrDBw0zUz1aeiRyPj8mnHMO/Gw4aicgykXRRUZqpBRuGVnNx 3tjARH4BNtUvHNiw4RX33l0STHRBI3Sc7zYbroi1CYRyMdHmx+KGPHFs2Hk2 R+BnHwMtat4T6PzKhtPRuiavehioe4zaEpfIBvWHehPbuxgo0CLzzKF0NoS1 l3q4tDLQkuLx675FbPBsNzs5WMtAfc0BUcta2XD5bZt3Qg4D5T35fa61nQ3K DVpa+7IYKFjbTiG2iw0fdzpbd6YzkPFnlSz9ATY8Ysm1cCYzUIFnfa33CBt6 uLI+HI1loJDtuwKOsdgQHVEXMhzNQG6UiJMybDa459ZPu0cx0DaTy4OlU2yQ 2hNLBoUy0HLOtk+Bv/H83Hr4SPYdAw1la1+yn2fDLGHhnRHMQEWXYlXV/rIh gqrG3PuGgd5t5J9eWmLDtu+CuQ0BDPQ/8Twf1Q== "]]}, Annotation[#, "Charting`Private`Tag$2768988#19"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8Vf8fB3A09G0oO6OIkiRUGkJvRdmJMkMqUkQlpGlEi6SSnezKLDvU x4qQrKxs995z7z0ul+wRv0+/+899PB93nPdnnNf7c7acv2riwMXBweHAycHx 7z3uifXadOUc8KzVWVHZswSe2haWHw7mwJF6k9+d0UvwZeHo72iDHBBL5ooa 4FqC5dm7zgTb5UDGZodzROQi6Dlu7PZxz4HY+8eInxqLECK+zObG4xzY8Tr8 dszoX2hvGu5xiMmBNUUWdVYpf2Hzow5bi485sBTle9rD7i/Yq1X06VXmgEz3 ptuTm/7CWErEgCIrB2Zswu98j1uAg9YPzktx5EJKcJzaKYcFuM/rShEQyIWE Mm3F8J0LsOauJm1WNRecJbomnpTMwzbjEUZFYC6Ih4cZBbLmQNRb+5BjfC74 +8iwfuTPwYaMuMDVBbmwbCjA7T+/OZhbdUrBeDAXFsol5ZXF5qCxtOBG78E8 OLUz1mDabBbMb30N1DybB+lqC/tTVs7CbSXfxRlaHng/fejdxZqGq7a/jWLm 82CErDr4t2wa7IP2xgNvPrxc8neJCJ8GIwZN86FaPoxfzeHYpTUNW+P0nvC/ yocJd3Vtz4Qp+LleQEBBowAO1zZoal+fhAp1F4cm0wKg70yMyjCYhELnqnx3 5wLgk94w7iA7CYnVXpbFYQUgKqKqU9U/AV9/uPD7pBeAmV1ie/KXCfDy7onV GS6AgPawHeKmEyDFTtlxIaoQVh6P7ZrTG4ebP1UgYuIzpGSoqRnbjwGPQh6t ZlURbHPdmBiuOwbKW1sdmsSLoM+yLVNDcQyaDLZ32h4rAqHC54JX5kZhZ53A jW1hRfDcJOyc1KtR6Ktmp2QfKIaEmlybtnA2aJcl89TfLoGD71dFa31kQa/k lrzF4BIY2bYycvIBC9x9Ys4oJZaAUvWmBYo5C1S/JL2w+FQCv420Px1WYUE8 vHr/qq4EujtuRntysGD+i89RK/EvQPcUP3vh9BBkFZ3xpH/5Ao5zpYWDK0kQ zuXt5eREIPsj9rngKzpYB82fpgoh0BgPyjZ2okOCPa2uSh5BC+smT+UROsgL fv4caIHgPd9EgO4YAZ8PmgiZOiNgFNQUHmsg4Kin3WvBjwhWMa7b1poQsD/G PCVUsRSGkBG3hgQNztmm2LzvLQU7zUeK27oGwV9PLDKSWQoqOv7vTAsHIWV/ yK+nE6WgTz3xJuv1ILB4buu7rC6Ded93Bb0nB8GsPtZWQKYMDvTJWorPD4An MlTZs78M1GS5miRrBiBIclKg5FkZuES21I2W9kP+oOaPBrVysM9vWRkR3gNt Or5jz7TLofmP7yVj6x6YyvwqZGBSDl9b93XrbumBA3dUzn13LIcqc7/DU2nd UMivOFX6shxG1lxdt7uyCy5+iuPPTC2HBpeTZRrHu+CzlqhkNqMcgr1DD7Qs dUJJyuiN0NAK6EVmdyXi26BgekbMRKsSzjhLGPveaYFypzdilqxK6F/npgK3 GiGH6exsO1UJhfNUyrITjZB06VDxBY5vECcjvW9YqhECLrZbuQp8g1B1/RVW UQ2gc5436oHaN7i2LKm44PhPaLAM2JgZ9A36TTf0RKTXgeVMje7E+DdQFdNe Knb7Dt06LoLLdlXBNT9xJ/fUKpiUUV+f4VINHRou0+c+F8HhwaPVT72qoZGr 9tEviSJ4+EbH+9KDanjMs2Jl5cPPICRwmi0dWQ0zjIpjwmaFIHj9ZFFyUTX0 Pdmu9M0/H/ZzOjdEVVaDjmqg4725PPDqinj+WOw7xKl4vy61/AQLzyfW29d8 h8bd4nmq3XHwOvLfqwbmmf8dmtX2QlyzaRvEttVCyKe+tZE2cUis/ug4KNaC kmithYBePFKO72y1V6kFydQrPSP7EpCDLnd0piF2QdSByjVJ6Hvk+W1HPWuh /8LJh1wf36Hnh0QOXa6uBZ/rwtw2XZlI/O7DCwWX68BL6sJy0i4fFQ8qzMu9 rIOLgUaD5lyFaP+SXf6pzB+w8KVm96niMrSJdnsjNbkeAgJLPQMUq9APf+Wf VXINkHu7mYxQqEcZjYoXHrU1wOjTDofIjgYkETI0+2GkEUwYQ22mf1qQl76l 3zr+JujoFy9kXP2Fhqb7eluVmuFkfarAJr0OtGmXcdMd/WbY9qS38EVUB0oi i2t5glvg8EfJmVuXuhHXkf6G4dctcEUycE7/Xjfi2fSOTaX+ggk5h/RT432o 0KDFmGviF4xOFWtZrOlHQZfzLsZtbYP98qc1Pl4dQDYCjTwfHNugczT2xe68 ATSlkUa95N0OehsVPxxpH0Qnb5jdOTTeDgkKVoNlRyjIfU9lrlBFB0hc/SxI 46CiqP+vTydIDTjW/siior7MysCmLb9BaOnazt7NNOQfvcXBwbYLvJz093/k ItC806/oHbe7oG39gSdpQgTaeYR78WJxN/RSf2vZUggU/yMhW/N4D3hndXY5 7aYj7YQtjp+Ee8FxB0t0yzs6SuW2yjY374NIlnVIjhYD3dx0VmrAug+Sl0nr u2ozkDzLdE27YT+o22w6otzEQHufn/27rL4f5L357M4oMRH/+tFVlXP9kFa5 3TTMhImWo+gs6ZgB+K3adb/2MxP9VtPS6YsdAFtDbqOLxUyUVcTqj4ofAGrn pSmOL0xkla/Ox/duAHZ7CvzYU8pEnzL63DmyB6BCdiH6cRUT2cZIH+qpHoDp jUMCf5uZqPBWWmXY+ADoPOaIXDPERC0TgwlK6wbBq/1PuMwMEzkrF3f+pz8I G4/erWkQJlFpY2t6oeEgVP/wit0kQiJBl1FvR5xjHex+RydREqHkbTLfTAdh 2JSrk2MTifiFQ9x87AZBV5pQ3SJFouJZ+zXTHoNgUxV3WEmeRGsQjzo1bhCm g7YvfwIkStM9H/d1ahBiRfj89l4gkbL8lsMwOwhjZm52CvYk+srT34XmByHI vvGCrAOJGltshMs4KLBoefy3iCOJJmwsgytWU+CYj3ngHycSHXY7eff7Zgr0 /fm0/Y4b/n7UYYvm4xQoSS15QfqQyPLe30kTXQpEnDvjXOtLosGzJa9a9Ckg vKLx6gc//H9bDzX8OkmBIIPRWXt/Eolk7TvebkWBmooF4eZHJDpfIa/c7UqB 2373E/yDSaTbdiTe0YMCZsHH7aNDSDQ5JLqBCKPAbsFYGYNoEoW+oVfHRFJA Q8nPTCqGRHuNcr1PxVBg9cjel9PY17MN2aXxFJCQ+r3rbSyJhr18fkanU+A0 n+TCYDyJaCuIIONyCpzRzJBWf0+iVolP/30ZpkBemhifei6J3Jvuld0YpUBd yx7pSWz+B3q35MYpsDM0+3h6HomMCQojfIYC5maF34QLSFSfLvTdbRkVbr90 /UD5TKJvKncfyopQQVW0dK8RIlHeKe1loVpUUNie8tGzhkSP9QsDxLWpsL1W WZ67lkTWmjtWJetSoU9SojcMm2vvmnX5J6gwuy+RllNHohN8DUIdFlTwlU57 RK0nEaPRTE7chQrnz4eoSDaTSPTEReOk11QQ+FR+lus3Hu+x9hb5CCrIR8qP 3cIuVdcxy4uiwu6e7C+j2Bd3yZ2peovr436/qruLRDlrR+wZH6jAL3zI6UMP iQzqPLzkv1LhdQf7jsQAibx1At7mElSgSf1qvUUnUbPtJWslJhVyP1Tuacfe 6qEvkj5EBZGyn217GSSqjed9lThKhWfj2RMktsD8m4cv56hw08Mo8CRJovcZ +S7XeGjwblhXY5ZFormKSDnWBhrYiYls1h8mkeHvu3RHfhpsCFt1LAZ7DPGZ iQjSYJkBf28z9p+VmufObqTBtV3fXdVGSKRm13D6hBQNPrK09rmz8f7kY6jK 76fBWs6+D2VjJJLaUTfz7iANlCjPZFf9IZEHZOZJq9Ig+b3pH0Ns0SvuimIa NGjfnO7Yjm3/jUN6tR4N9j9s7x4YJ9HMTZHVDBsaFCnxrW2dJJFe8ELVBTsa vPlVrrdhikRvkvoe9J2ngc/hm2162Eebkv+2OdJghY596xfsILk9Y9+u0+DJ oyj36GkSbenR60gMoEGO3juTfbMkelqummX6mAa6Usnel7H/vJN/yB1IA8tn It0x2OVuPMrOITQItFmQ5pzD9a1qfr4nmgYzZWXjCPvHcPlF6hs83uCguGHs fS056mFxNAiOm7knOk+ilbGvh2aTaVCVqFN3Hfv9Xkvtso80UI5tzBFaINEG Eb3NN3JoUP0qk6mOfWvx0OTWfBqMS542tsfWqxFPfFxMAzTwKD8Te8i2f9Go igZeloHdKn9JdFqrqZWzhgYbB94mWWGX7ChPz6mjgQdX7Nvb2EETiVbCTTRg NRAKhdgKTx3ze7vwfPK/zt+xSKKwqxbPQnppwLAZENHCXjqta390ANfHve+T DXajxE6+FAKvl5jP3WDsgyvEmeZMGjxW/PoxGTuOXFv6H4sGqydCREqwr+eN uLiM0cBUzvcJgf07qk9LYoIGYaXUkDnsoz6NYk1TNLh78nL9uiUS8eln1ygv 0CBxzI7YjX1bKTGOWKTB7iSRiqPYFMHQmxGcBIi/ut9qgp3b77FtYSUBwXnt 0dewxasuLmT8R8CJVbwn72MHpJm3nF1LwESrz6FA7JEQnVTe9QQUB+ieCcc2 81TxreAloNz1WXYC9tczchYeAgRIdbhqZGDLHBFT3C5MAGVm/YoC7GCZtSs7 RQgQmHnJUYo9veZv91NxAhpYInu/Y9uNDeeoSRBwsLcqpgH7e1vv05EtBIRV FKu3YSuVNJyL20qAvr+oUDd2RHzpQZPtBDCml8sMYHM8+rR+uRwBe4gYFxr2 5SsJRJ48Adu4lw8zsJuNX31xVCSAa5l10hD2oQP+oSJ7CDB3q3o1jN12XmT/ G2UCNNVaM0awbwRntkseIKByhFeUjb2hSPNWkgoBzpnhHf8+T6d1iMqqEbAy 1Jf57/c6vK4laYcJeJlOGrCwaWrLbBWP4Hpnh7lIbL9LEUvZmgRkXU1ZQ8fe HLorfv9xAvxnFRwp2EWo/GiRDgE97gmCfdjmQ+ZUdX08n7liwr+xJ4SGA8oM CeC9n+f8CzvkqN/2YycJqHn2lP8ntryrcM13/FxS/zKPpxq7JjLdycAU17fb 2AZhc421ZZyyImAhWGvy3/rEil8xarcmoMm66XAStqoO55jVWQJE+g92R2K7 v92pfN6egJ9JnPwP/o2/rrSVdpGAuxHh6Z7YGVOmNy9fxvOdcj3qMjZh6FN0 zRU/N01Z3TD8N95bgtYT1whIDYm1PYwtkZz69+YNAuh/gmMVsC0Wfml4exHA PtIr/m//1qXuqH7mR8AG9jqhcry/L7V9vcQbgK+3FPwhA3s51+nVrx8RAMJB LyOwD1veN4wJIqB0+zmHK9gfuVtaUsMIGBjS5F2LbbD3kodCJAF6SW6n/uD7 lWn7Vyg7moC/ncyhdmyp/O1Wn+MIKJARlozHDrW/21+dSkBZhVLETmylEF4/ /QwCHu92fL4Wu744Rbohi4DulqweFs6PlfxNF9tyCbha0eWdhu1Vtm2Y+hWv p5FFjyS29eaGWc4WAo4shPCxcJ7xiLjlFbcSoCpC4/iXd2X8gtc9OvB+Snko 9wJb5r8zDEYPnm8xBaW92Oxxoq2BQUD7i6urXHF++tUs5rxZJMDPP4wb4fxV roy/as5Jh6sCuz4HYNO/au3kXU6HtV/n3ulj/9eeeE19NR2MbNInKnF+C74V euEsQId0R5pBH87/9+4KripydAg8YyXQgPuD1dWmHePydFAmLrx7gr3OyZ2W rkiHMGmfW5rYbmeLrCX30WFnsUNXLu4vqnrH9bk16NDrLxgZjPvTTwlb2VZT OlCuWwtuxv1rsvbZ4DVfOrwscevMYJKoe03rpYUH+Prmr4vMsMsNxNmPHtKB VzNiahH315CfqfOxgXRQm4zwNsSWa64WqH9Nh4MbZtsHCRLZdnJq70ilw+2s zLwRComq6B5pA810MP1V/zUQ9/t02S+7XVrpMOLcLCOJ/ery8sKZdjqEXHZn 5XTjfBl6Wbm+hw4ilbSQTnxemBvJ6lGn08FFsVFjEz5PKE4x10fN06Es/oDR wzacL8tt3U22MsAsgb+w7yeJFi8I72uSYcD9p7T757HtKxonjXYwIDhFMv3f eUbJT/OmoQID+v03H6L/wPm1JHtb5yADVtvpy9DweWh6btz7sAEDtrhTjCqr cH6OPQmUc2fA73xVpw1f8fmsNy+Bq5IBSufu5VBScV6uvXevoIoBTsDZsAd7 taqWxZUaBqTu3KLq+wHfzxHN69p+MsDTKWiFOD7//TFme33oZMDcn2sOusm4 33yTNTrJZsAy6mn7B29x/8qInn8jygSpz6/H3V+RaMU939Mq15mwPCWo3+QW 7gdjrFl0gwklNZl3Arzw+C5avD3uyYQXKQ/9Cm6SqNJIkTx1hwnh2WEtIp4k 8pfq8XYNYIJY0qh/Oz5PL/9+MC0xkgnrplT2HLiC+8+R6ysa45mQkV1Y6XYZ 18s/yslTzoQCDwXpx7Y4rz/YZg3ykeDsKv3hxhG8v6KynvGVkyAa19+QO8dE X3Y+XsXrOgTf+avWKqQxEa+em7wfDwvkoqnv91gwUfeuxpZbJSzwGdqQ3zjB QB9jYSvVdhgEdMwCrZ4zkE3Wft5Ni8MgW3MR9UszkE9AvG936ggsvLwxeyWF jjIYm6J5DNggpebRtX0HHT1+E2DXe4INdtGh8YQMHdmbDG/LNGaDv59lXdJW OhIvKfloaM6GNl+WroQkHT19fqYq6DwbWGqD42uF6ejS/six1bfYsJXfhKNu OR1J+QvocKewoSRfb2tzH4EWD95d1/6eDd1CMU73egjUOUxpTkljg6yioaBs F4FCzHNsjn9ig5w1NfxOG4GW5ExuBJSwoRnum4jVE6i76XnsshY2hM2sTlAv IlDhw+kLLa1syLbsUuorIFCo6tkdiR24Pm27rT55BNJPVsg92suG0CMxKqUf CVTkVV/jy2TDqgKnTSrvCBS2a99zYxYb8rNdmluTCHR9MOb0FjYbJqIMWdcT CCRrcKWvdAKPb7bgxPs3BFrO+SspZBrPh7ZB+NFoAvXnqTrZzbHBSbFJqzuC QCVOiYpKf9kQ9Fzf3COMQOESayaXlthwRaP057pQAv0PtAdQ9w== "]]}, Annotation[#, "Charting`Private`Tag$2768988#20"]& ], TagBox[ {RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8Vf//AHC0B2WkjDKiIaOPNIy8IkV2UiRJhczKTFpUVBKKhpkRyaZs ettkbyoZ995z7j3CJaNk9Ht/f/ef+3g+zn2c+3q/zvv9er2OxKVrJrZcHBwc dpwcHP/7zjturtx+IQ+83ojHcQ3+g2JRR0FpmzzwW7Speh3xD7J1q67U38wD 2vWynLyFJUjyFi1yCskD36t528eeL0FksufaDUl5EN3zdDjx4BKEdrWcyy3O AwulfVwvyEXw2eu39IfIg6fFOxOVTy/CNatvRtHzeWB9UGPEkG8RbIL2xQNv Pox2cZ9V7VgAIxZxNEAtH5TE9i//br4AUnG6T/jD8kFM7eye+ZvzINSS+C0/ JR/2B3EOuR+bB56FhT0Wn/Phrdi+t/O88zBnltUSR+VDgf0ZKyrjL7RsEBCQ P1IAtqclr0Wy56DqsItt++kCGH9Q69haMQeFTrX5Hk4FIL25uzAlfA4S67zP lrwqgA1/A8Jk1Obgc5MLv296AWiJp0YY8M6B970fsTpjBTDSIN5S9vwPSLKT d1+OLITyJlWlLad+w40WZXgzXQT1cjPx54VngEc+j/iyuhiCnpyiP5ifBiWp btt20WI4/lXrP6kf09Cuv/Or1bFiiM9MiTeKm4Y9jQLu0q+KYaVDWVHB7mkY rGMn5x4sgWieYKbw8SnQrkjiafYpBTfjkNiouEkYEJfIWwouhTerjQ2iHk2C h2/0ub2JpXBHWTyi/OokqJa9e26eUwqPdq6Y9jk/CfEQlhLWWAoiR7TNfQ5P wnyZr6aFaBlE3hgXfts/AVnF57yYZWWgu1KO+6zEBGz+xDvAyYlA0XjPT++H Y2AZNG/KEETgPNPyefHMGCTYEI21sgjCfZ1dK3ePgeymoqKn5giq5nhnV7eN QtEhE8HTTghcBeoqpVJHQdPL+uWmbAQdxz6+vik2CgeizZLDFcrhLK9eoMOX EbholXw+ZaAcZKKDRNnHWPBQVyQigiqHiaD6i5fFWJB8ILQrcLochGgKnqvm mDDK46PnsrYClDLHrv9IZ8KZ5lgrgR0VEH3aZA2HIRO8kIGy4oEKKCzs/pkn yIQg8RmB0mcVEG75/UztLwLyaUebWtUqgXZNL2p1Ax16dPwmn2lXwt4En8eX PtBhNvOzoL5JJdj+Hjg59JgOB28pX6y/UgmKtQWux3XoUMivMFv+ohL87Z72 5tXTwC4njj8ztRKMO0pPuT2gQZGWsHguqxIuNNnNjrQOQ2nyhHt4eBUEGxZY HBodhILff0RMtKqhren3Ic+b/VDpGCNydrQaHCXoc9flvsJHysnJarYaak1v +0st9cE7e5WSyxw1EHrxszhnax/+316LqwI1+Hksi1Vy7QOdS7yRD9RqoGms y/1uQS+0nvXfkhlUA+PptOUuej1w9s+XE9NTNeCoSym7Pu6Cfh2XTcvkauFb 3lE37ZBOmNlxeEOGSx18mtIKc5prAnWaZl2gdx1wJDRlfElqgoAYnXv2D+rA OUZEzsWkCQQFTNnbI/D1rs8j99MbYZOrcXFScR2UtaWf253VAAc4nVojq+tg 6ObS7cHLDeD9/U3IY5F66Op9vrRhsA4WQqY32HypB99r3DtWraiClxH/+3yB /Yq/VH1US4BrLm2jiHQD+F42T2pc/AgizZpToNAAW0bDNrrf+QhK8V+7bZQb 4LqQ4n73xVywPbEqKtOgAcwLb8neXsqB+ohL0ppeDZAtNe2bvDwbQlSEVBzq 8P08LPm2aKaA6O2AywUOjXCEX8Gk2uoFlNDk52VeNEK0qUbSx6gAOPDPOv9U ZhPEbaZ7RMokoq2EzxZGUjMosyakfhz8iJoeKrXUyrTCUJFXv4pcBcpoU7j8 qKcVpgZvrHrBXY3EQn/OfRhvg9B8uWN1ZU3IW+/sfW7+dij5ZOQY3NSMfv4e HOje2wGabkHKz7k70Va5k+239Dogc17gurJNJ3o3UtLAE9wJ3n7f+ffd6UVc GkOtYy87oaHFcHd0WC/i2fqezWB0gU6Bnr6RwXdUqN95kmu6C0ae605Yun9H QQ55dnFSPSC/abvGcbcBdF6gjefDlR4ILCieGFw1iGaPpDHs7/WC72LJcqHS IWTsfuaWylQvyIpdZlfJDyMPxepPglV9YLsjwChkYRhF/v/z+Qq3Z8/Iryui ocHM6qftEt9A/fenhZK9dPQwSsLW1uo7jCyX8325g4HmHbuidvt8B5uRj4nS agy0R2PVkl1JP9ibOc94CBEovikh9+jxH3BP+r4A91UCaSdIXMnZPAAr1T+Z JIwRKHWVRa6Z2SCI5s+cn39DohtbL0gOWw7CHoVe+akoEsmOnl7XazAEcYZS rtaKTLQv5MLisuYh+K0zTuuKZCL+DROrq/8OQcSIt699ORMtR1FZ26OHQWVe ZMUDRRb6pqalMxg7DHN9fw30lVgoq3h0KDJ+GI6IOF4QOMBCFvmH+fjeD4OG m+WPOGUWyskY9ODIHQbxyYNGaUdYyCp6u8qPumGwl7xsFmDIQoU306pfTQ3D FvYJUzMHFuqcpiXs5abB5vXJxDJvFnJSKvm6Ro8G+1MPqN6IYqHytu70QgMa iCMwGI9moU0uE/euGNMgdzu/tk0sC6Ek6R01p2lwqlxtSj+ehfg3h7r5WtOg Z/bZft73LFQyZ7PutycN1jqrx9vmstA6xHOYEUeD04a5K47Us1DaiUtxn2dp kGNlsrFhgoWUZCXUYY4GEfezI1iTLPSZZ+g7mqfBrb4d6iunWKit8/zmCg46 rE3Y81V9hoWmz58NrlpLhxGa2vmkORZSdzO+Xb+NDnmEbYM2F4XaItXNO47T QddheRSdj0Jn7yzOmJygw0N/4RGCn0K0C6VhnXp0CJN8ZcEUoNC0lEprlzEd EPjFMQUpJJS1/3ivBR00g2/W/BCm0KUqWaX+q3SwSVeJjZOk0IkejfgrnnS4 Z1ChtUGaQjM/hTeSr+hgFBHa5/cfhcJjmHXREXSoGFLZcVuRQvuMPt07FU2H YkthT899FHLNNWCXx9PBLuXyZtv9FBrz9m2JSqfjuvLA45AyhYgVZNDJSjps 2VZWlXWEQt1iOWvKxvB1H+HjNEMKebTfqXCfoAOf7djuMiMK8T/QvSkzRQcX DX7B18YUOknSWa//0OHfaqXVOiYUak4XrHdbxoAL57+cjT1NoRrl2wG7hBjw d4YxLGpJobxT2svCtRgg8cly8ZI9hR7rFfqLajOgpquki8+BQpZHd69OOsEA LunN3yqwufat4843ZEB8hOO1rU4UMuRrFewzZ4CCq/CXBhcKsdrOyIi6MOD7 6nXnl9woJGxod/LdSwZ4LUvb0XAbr/dYb6fsGwagQ0nc1ncoVH5Y50xeJAOe HyraOYNtJydzrvYtA2wvN8+I3qPQx/XjNqwPDJj9M7d4yY9C+o2e3rKfcXzq NUP1/hS6p+P/9hPJgOkYv38LzyjUYWVvuZdiwIMl0e03gikk5aknlP6TAY8V 3AMmsBviecMSJxigqPNj/XAIhQTmYwJe/GVAX62faNFzCqVk5Ltc5yFgu+I7 22MvKfS3KkJmdCMBlkctXn7ENvh2m3mFn4AyqbmVEq8oNIn4zghtImCpKojm iP1r5dGLF7YQ8KbYJ3sOW8261dRQkoD2ED3xhDd4f/KxVGUPEDDHS4S2RlFI cnfjn/eHCLDVl2T/F00hT8jM265KwNOVV56HYQs7eyiIHCGAJzIowTSGQjY1 HNvX6hIAl0f/NsdS6M8NobWs8wR0PGLHxcRTSOKHbl+iPwH0trDknGQKBVaq Zp1+jO/3/YbEsvc4vveyAaueErBrXU/VKexKNx4lp1Acz4WEe7+wbVZ3hChG EXDQcrhX+gPOx76z2hXZBOyZHZOzSaPQRiHdbe4fCch6obIvBfvmksqMVD4B fS13L/3E1v0imvi4hAClX4FwLZ1CP62GloxqCRB1/P3bOYNC8oFX8ge+E/Cy a+PDI1kUenXN/FnoAAFCYryqN7D/mZ6w0Rwm4CfNfVsGdpvYHr5kEq9/45yj YDY+P3njLi6TBJS+3yk2iP0tclBLbJqAvbSLhzfkUEjTt02kfZYAwUNyT9Sx +fRyvygtEKC/nzs1EvvTkKf0wkoSIGz1phO5FBKttVvIWEPCpaO0RDds/zSz zgvrSUg/euNiFPYZL2W/Kl4S0riuOIxg/1632B8oSoKvsU323Y8Usp4c+6gm RoJeh1hRPHZ9z0DguAQJB++WTlZhv4kvP2SykwS/vzJTKz5RSOXgw3AhRRKK TnWp+GL3XBI6EKNEwmL2Y3oktntwZq/4QRJmutf2fcJOJ/qEd6mRYLdx7B2J rcN7tTRNnYR6k0d3lrAJtWVWChok5ORfTtiUR6Ft4XLxB46ToJ1zpl0DuxhV ahbrkOC24f33M9hmP80Yh/VI+G9bhqITdqjm/Z3HjEnoO2lQ9xyba7In45QF CbbuHME92LGizka9liTQN0hwktiqOpyTFhdIaBPvr5jG9ni7R+mSDQkPNoXJ bszH+6OxvJuwI0HhZV2PKHbG7OkbDg4kSFesat2FTRr4Fl+/SsKJFpFUdez7 NzdZTl8ngYPa+UwHWywpdfGGOwmS27M/n8QubYO3854kED5t6hbY5gtdR+55 k2BAe8d9CXtmpyON6xYJR+HEHgfsF6f+PQi4Q8Jjp6+vr2HL3wuXXutLQoGS 6ylP7MbU3XXP7pNw2VLWygfbvuezPa8/CSve7Ci8i72cy3Tty0ckbHx+6+J9 7Hg5Km1LIAlsxnELf2z1s3cNooNI4JZ+l/AI+9tDfrZYCAn9PZkqT7BvZKeE Jj7Hdr8vGYgt0H9YcWc4CbEOKhb/c/aqzs7UVyR8Efo1/L/f6++z95SPIEH8 W3XRY2zKalEwN4qE4Onm4QDsgMAXhftjcT7e77J4iC2Zv9OiKI4EQakJST/s z8Ol82qJJNCeg9od7HPcJjHlSSTIrVNM9sb+c4iprpVCAhlLs3bHDre5PVSX SsIhY2dnF+y9obz39TJIiBEcqbfDbi5J3t6aRcLADy+vC9iOTNUak1wSRALk PM2wV/K32/V8wvuPvqvGEDtB3W61RQEJ1eiB3TFscJz/8KOIBJ1e87Oq2N4V 0mOMzzhfHv37pP+Xj7HiYPsKEuaUy0WEsHO2GO8drSKho/Tx6fXYI9d83Kfq SeBf+A9N4P0VELVh041GEvbEaLOHsbfXvcv/20xCSnWaawe25bbWOc5OEgJ/ 1bvkYPMIueWVdJPQOFVsF4tdwb/J1bMPr3fL+vBA7B1rzrFYP0gw+mccZI3d t2wpMWGIhFP7H5npYgcuxV2wpOP4PePN9mGzp8ieVhYJvYYrf3NhJ4w/efHk Jwnxgy9eUfj8mVKyhkfHSRi0f+TUil044FaTP0WCz4c9+W+w739Z+hizRMJT x+l2CWyl6vhrZpxMWJlrKs6FzfystYd3ORMGxiSShnG9WNObeP3wWiY0ZOvW h2Nveiv43EmACQd3TAIPdoqH/FVlGSaUOF/xq8f1zOJa++4pWSa8QXHHorG5 HT2IdAUmrM0+pnkN2+1CsaX4fibwcxsTfNiqusf1Vh1hwvB8R7cxrp8tYla7 uk8zQWNL9a33mRTyFeZkBJsz4fZRk+6r2Ps2vXurc44JvCvUHPZjv1k7Ilhq zYSrJtFHynE9vzTjuSLRiQmr5ejZTbjezzQ8o133Y4Kk+XROeSqF+td12y88 YMJhO/szvtiV+qLsRwE4fiEZY8AObUmdj33KhJbZ2aMluN/IdNQJNL9kQhrL TCEthUJWXzm1d6cyYdpXTMYJ9zMt4RPNn/B79Z9lKfLi2HvOhZ46ksUExeD5 J11JeL/3b7M2+8QEl5SLx1SxXwyp3vT/zAR93aJ2jncUqmV6pg13MIFdxTZ1 xv0yfVfZfy7dTOgd3tQuiB3msLzwTy8TPij6JJXH4fr+80X1hh9MuPfV3IwP ++941o/DTCZkrh4dzsD9V2GW2hA5zwTNNYeSa3A/f7PcysNEigV31fseeeN5 Yeny5v3tO1iwoHHNcCO2TVXbjNFuFpx18vB6H47P3/2jNwzkWfC1UfhnZxju H/92+egcYsHv7bwO0i9wv/k7dU9dnwXyEyZfUvH8cmbyyVMZDxYsuQ4nwyNc H42P6n/wYkEkx/bKqgBcH7IX1u+6yYIHpkYa2tjjV68FS99lwcfMPCd9PC/5 j5o+F3/MggzebjejB7gfMsVeC0azoJKSPHcIz1v8A3kJXNUsGK732PLKi0LB 6+/cKahlgfN4ePpfTwqtVdUyd/7CgvmwvqdW2FxvOrh7WljAt7hTVsoDzxcn 2d4fvrIgW9VjNtkV9++aXUbGbBb8aVlZG+hMoaCMqPkYYQoszqyZbLxIoRV3 /EyVXSnQ8uQyVdbF8UyOziF3Chpm+8runsD5sjN/e9yLglitmeAqHQpVGymM nLpFQcr6o1f0tCn0UPLHvav+FGhKr/91SgvX7/pDaYkRFFiLL7uno04hHw3X FW3xFDgeWPYWqeJ4+Sc4eSopuLt4awTheZ3jg1UWjW8ERu+Oh/zE879bZNYz vsoRsE4a7+zqYqGyPY9X8179CS0lIBLxhIV4dd1k7/OMwhuv14uXVFioX66t 82bpKHRRdxe+fmOi7FiQYliNgbx8p2e1NxOdzzrAu3VpDLzWC9g7bGQiX/94 v/7UcdB0mFsl9YpEGaytUTz6bDAVOMiZIkKixzH+1gOGbJApS+50EyKRjcmY dOZJNqQftFx5eDOJREtLsw3M2PA44mNQKx+JAkPO1QZdYsN4UOvWsTUksj8Q Mbn2JhvelT80W/uHQJIPBXRWJbNB9/v06eZOAi0dus3dm8KGF2Xo8MN2An0d o3ckp7FBjTMmQKWVQKFmH88fz2GDc2GyalIDgf7JmLj7l7LBfDpmn3sFgfrb Q2KXdbKhZ4eG9WQmgQoDfl/u7GZD6NPf52LTCRSuemF3Yh8bIulbi3RTCaSX JP9Jc4AN29a0v45PIlCxd/MXP4oN5buuMrWjCfRKbn/IyVE22BtpsNkRBHKl RZtKsNlwfV2O+evXBNql7zxYPs0GpV23jRkvCLScs+td6G82TDjTBp6EEmgo T9XR+i8bhDfMt8gHE6jUMVFh7yIb7ro1inc+JdBrsXUz//6xQXHGvMvrCYH+ D/N6JIY= "]]}, Annotation[#, "Charting`Private`Tag$2768988#21"]& ], TagBox[ {RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c8ld8fAPC0ZETKHoWijNCSlU+hQikrhCQkUbYiFSkqEmmjYSQjWnZy kJWRvcr23Od5zEtGyvqd7+/+c1/v17lnPJ9zz+dzHgk7N+Ozy5ctW2bDsmzZ f9+CLvzxXuk5MM5he6yyeQnub5abZynJAWfjwUM1Yktw0+iWwZu2HAi5W/zZ 7MMi+AZ0vdQdzYEUlrrCILNFuJiuPD68PBcC9RxuD69eBLtfEQciBHPBZDj7 KvPrAhjs1SJatHNBQI79vKDqAmidjdnjdzIXVvk/Kzw/Nw8qD6dCRN1yoXxv TZtU0TxIMpNk7KNzwZXvHFvA8XkQEFvmv/pDLnz5HWD/UmgeOI+crEkpy4UT 0RfOSDDm4E8Sh9v4eC68rOMe+x4wBzU27pnXDudB3TGTyaWif3D5hyo8m8qD 2XWRVsaOf4FLIYvxfU0+JF/rPKOz/y/s3tJytkE0H8JjL3/4LfwXGo5u7bA5 mA8lC+1nX9TPglw1r5fUk3xw3e/nIHhgFnoqmEmf9n4B7l8ds107/sDh4jdc tVcKwC1Qfp/ooWnoFpfIWrxfAIEVbFd0ZKbBOzDWSimhAEwF5LpfcU6D+tfE BxYfcbtRwzSanYI4eJj8sLoArGpP94w0TcHc10AtS9GvUB45crXKYQre51td or5+BcVOx/i5+5MgkMnTzcKCwE3cQ/UIy2+wvjdnSvAjqJ259jKZmoB4B0Z1 uTyC2xq557f/mAB5vry8MAsEK0tfW6bFTECeijH/CRcEgv23SmxCJkDrku1j vg8IqGxC54LKBCjHmic9UiyC8cezpkm+43DGJulUcncR7NJ44zsjOQa39EWe Px8sgnadMvG1s6OQpBzZHDpVBEs1xfLWtaMwwnXlyEX2YkhbGrOK8x0Fs9qX NrzSxaBhlTSpwD0Kl5CB6k7lYhjwZ/uT1zAC98SneQvCi8Hmt8PWvPBhyO7X rqnTKAGl8a1aIzKD0Kp7YyL8cAm0+PAc61g1CDMZhfxHjUtgX/GFDGYfDXv9 Vc9UnisB85FQ6afRNORuUJwpiioBt7Hk/ZVraXD8+HpDRmoJRIntLz5XTEGe jrD4J7oEBMeErrjPkVCQNO716NE3yBww4WZOEJDzZ1bEWKcUNLmbFV6tHYAS 5xciJ0dKYSGVFH+g2QefB11cbGZKIVRfNSN1Sx8kOql9sV9WBmnOW61+sfdB sGObpStvGSSYlYbdaOsFXTue6JsaZRAed+dVl0cv1J0MFsy4VwZTz7Y7u5/o gZOz3/WmJssgRb750QOnLujUvci3Yns5BCXwe2pbdMK09D7u9IsVsEZ6Fc/H ulbQ7NeqCPWtAE2xFVsl4lsh5IVugNPNCrj+MKo3x7sV+HlNmZufV4DT8IKL hXAr8HkY5r/Jr4C+NxtsbCNbQJnFpS66tAJCP1ep2p5rAd9fzyLuiFRC6JPM tzZrmmE+Yorb4XslmF3aU/3doQEeP//v8x3GUqYFeodqYPnftHUiUlXgcLna bfV8JYjUak2CYhVcqDxgZptdCbvjOlocVKtg3ZI0DLtXwlk91pgMgyqInTy+ /yFZAZXP7aS0LlXheU7JSTeXQ4SakNr5iirIDClbJ5tbCqJXQ+xzzldDYMdw jUF8EXzpV5iTjaoG+38xEz8sESgv2WabZNRA+95XSZuGPoIY44og8aYWfGsY 0s/mX0DNrd0/ymXroJc8xHWnIA6l1yva326tA44o449bt2agTZHDf1PG6uGC lrKu1FAR8j1yMmjthgbgPXf63/jaEjT8p6e7RakRlG7OJT5mqUZi240a/I80 gkJW4+WtBdUocehLFdf9Jnj99dTXw4cb0fIDvXWjj5ug3+6tuv3pRsQl9pZJ EM2gU7iK3+BMK8o92mS0fKoZiG+ilEpoK7p3Psvx9ZZWaH7uGTJW0oFO8dZz pZxrheKfx7fV2f9EM/vTCKeANjBeZaO6Y0UXMvQy81ebbINyU3EO+m8X8t5Z msn/rR3cI2fPvc/sQdH/358OmFgRG6n9phf1ZJSGNUj8hKRvpx02SfehWzES Z8/a/IKhoDBhCcV+NOfcHCNz5ReUPgw/c/pQP5I7wLro+KUTTvSGdxnvGUBx NfGftA91gfhc5Y2uyAF0OF7i3EeBbiDLYf2oMIFSWS0/mZv3gLtPRP1AM4Eu i52W7LPuga5Adw/RdgLJj5zgaDPohQNHuA9O+zPQrojTCytqeyFO8LvjoTEG 2sA9vqb0Xy+k0kngKECilSjm/ebYPuAz/iTE9ZhEPzV0dHte9kF1TucD1qck ep8/0hsd1wcL2su/LT0jkWX2vvXr3/aBb/tXo5FYEn1M7/Fe9qkPolQc5LIT SWQTu1mtq6IPKrWkJddmkijXL630yWQf7NxvnlzVQKKmqf54pbX98PP2/Fvx fhK57P7SwXakH37PmJY9ZaNQUX3Lu1yDfjhokx+ixkEhvovjAecM+8FZ3l+y k5NC6I2UdNmJfjAn9IZE1lFog0CkZ6BtP5wuzfgWzk+hL38dOP749MOTmoQ+ tc0U4kBc+4jX/bDnjWR/gTqF0vTsXhfO9EOVXr6S+3kK7ZaX0IS//dDu3xeQ 6UyhQq7eX2iuH9I2x/T8caFQfdMpgeJlA5Bz7U2DvyuFpk6dvP+NfQD2siiE +HpRSNPT8GrlxgF4d9PzzMFr+PfRmhaNhwbArMfdRiGSQnqtB+LO+QzA2EDS 9uhECk0PC68jnwzAkTkTdr3PFHr0gqqIfT4AfHMfHp3PpNCu45kBJrEDEK+x jO9uFoU8Phkwi+IGIAg8Z0tzKDTqG/gj5t0AlEKIkVIBhRiryHtGJQNwk4f3 ZksphVo2fWT7OjoAPP7uUVYtFPJuuFbsNT4ArG2SJlatOF439f1kJwcg+4U7 j2UbhYzIAfrp7AAke1bfNu2gUO07/krPFQSQHb/P7OuiUJnq1ZBtQgRQkUeW ugkKZZkcXvFIh4BCgV2e9pMUunMkN1j0MAFdcXZXdk9RyFpbZs0bPQKyS5Pf rpym0PJdHGuzjxEw+Gu7Z/wMhY6tr+NvtyDgQR9bTdNfCtH1ZrKiFwkIrlbJ X7uMRsLHHI0SHxPgdvtdVg8HjUYPtjXJPyNgO39z9mNOGhXt0zXLiiaAvT+q X38tjRy3y1qVvyLAYiYw/xMXjT5zjjnQKQQwJcvdfXlodLTax1e+kIDe7BGR Tn4aBegGv8okCTj7xCtylQSNGm2crJUGCbjRwL/1JfYWnyNC74YJkH36enqP JI2q4ngeJowTEP16Sc1+M414516ERP0j4Dgrt0umFI2S07MvunMxoNnD7MYO WRqNo/VmQnwMELGd63kuR6P69bS6vDIDUlJ3hz7dSSNJmerZtyoM0DKYOyuw i0Y+kJG1WZ0BB8IPX3+CLXzBW1FkPwOCA5adjdpNI4eyZZvZ9RnQRXZx3VCm 0exlIXb6FAOk79hOqqrRSKJLvz0hmAEeVmLTwgdoFFqi/v7EHQaoPpF2D8P+ /VY+hDWMAZsSFdjnsEs8uXa7RDLAv5iOadPC469pjNgZw4Czu5BaiA5+nl0n Dxd/YIDQaFBY3mEarRPS3+j1mQGBrxLZRXVp5LeoNr0lmwGrpz3SrmHrfxdN uPOFAUvTOcaaejQatuldPF7OgJvkbY0sfRophJ7L7v7FgD8TqXF+BjR64mYR HtnNABdD4eM/sJdM9Ry0+nD/FT/EJY/heG2SW59E4v7Umx0V2B5ZYxcvTuD1 1oWtZTWkUWavj9T8ahKehkQ1nDKmkWi543w6GwkHlw63JmIHp5k3neYkoW5t Bcswttkl1RvfeEhYSCiq9Tah0R+Ohc5QURIk4qf2XTelkdreW4+EdpIwZ5Af 52RGo1Y7IeUXu0nQaGcavcT2up/RJr6XhHsbFA43Yb9jtAtv0yBhy48DLOrm NNr4aHuc8iEShpIVc1gsaJSPSrTydUn46MH7cAe2+bA5se8ICSqD/zJtsSO1 grYeNCQhwFa3ugB7+URruoklCXY9WgcvnKTRS9ELx9usSYgaiTJ9gq2uyzJh eZqEiQM/UxG29yu53XYOJHA/rJRfZ0kj0iAw392VhIshPneTsYP8+Kyn3Emw GGpoqsHe9CZ14bIXCb3tAo7j2BbzzfsDfEkg/dvt9ljRqDpVpiI8iARjVq+i bGyn1kInnmAS0vXsDFqwVy43ZX98mwQWbtnNk9iaJ68bxN4jIfBtXoq8NY0+ sDY1pT4hIaVng/RT7KO7nHwUnpNw1mH5wnvsQZsF/k8xJIhtzRKrxJbM3mqZ 95oEL8NOjRnsRw5XeytSSaiqt53WO0UjpUieoCPpJFRqxImdwq79krS57j0J 3e73I92wV29ocGzNxPEL6TeLwo7XdFxjmUOCwWRQajw2OM+ldOWR8FVTW+8T tm+x1ChRiOO5+NipDpt3NP++UzEJ9tFnBjuxPwoaKo18IyHHHmUNYh/TYTS4 lZMAddW109hDble8JitxfA4m7GCxoVFIDDff5WoSRiXs+jiwN1ckZv+rJeFL 5pYuPuyi36oW1+tJED3AKrUJ23pj3V+WJhIUF6XytmJzCXlmfWkhIZxvTE0J u3gDn4dPOwlNYXmDe7G9uXLlFX+RoC35rkwTW5rNiqa7SLC8O/hDB7t9xWJC fC8J320fr9LHDl18fdp6gISre5vOH8PW+Kstwk+SkBZWPmeEzZwkW+tovP9V UV9MsePH7kbdHSZh1sgqxQzbdFD+mPYYnu+idpk59mqijm1hnIRzFq7cFti5 3Z5l2ZN4vZpLt/9rd+7gu+E+g+OhJqT4X3+x5lwN2b8k9JzoWfnf+PU/rGYH 8L2+M9Sb7b/5g74vfn6xSMLDkjkNA+zdpXFu5iwUUC1PX+liU4U6cjwrKTgb 7rJDGzs6jyKrVlOgEvf8twY2e1uC+z52Cg7m2tbuwl7M2G6jyUmB68WIFQrY H1LqhWa5KBjViTWRwrZL9Gr5yEOBYE54kwg23yv+By68FLDJhdzkwa58nndU SoCCD3/e2q/GvvLIek2PEAX/7Pm8/+H97r4bH2C8iYIE0kq6Fzvy1kF1TkkK ItX8KhuwtQPombItFJxIcY4pwU72VnBVlaWgL96oOQ7b0q1BZlKegsrhULVI 7LXO3ox3ihR8rt7UeA3b83S+tfgeCl5vHHhshr3F8pTgz70U7G4wLTmA3Wq6 rPmhGgUc0cni8tjq+oeOsO6noGf/Va9FfF7GdAZXF2tRMNKr6URiv4Z7JVcO UuApcj6iFnvlnkbVMX0KXqn4+TzH/rHJZlvLCQpUY6UTt2IHCrMQ9y0omFxV psiGvYsv8ZWuFQU2Mk1jg/h8P2Mf4i+wpcD9TjFrCrbdtM+qBBcKFNHlZDFs 3nHBYmtXCtz8pJpmcT6pGPpyld+DgrK9h3c2Ycv3skzdvUTB37Jz94Oxp6vC +91vUMBcEVfci/NXJ0eL0/xNCgz2VPvkYpccFWXeDqHgdqSFXwR25I/UuZdh FEQbrnRTx5ZtrOCtfUzBoxOeAmE4X9p0sByWSaXgTiq/FxvOvzrCerWZ7ygo eX9dphXnZzmrSJP97/H/Z7FfKR57tnOjrXkmBcLqq3apYEf1qvsFF1Jwc7sb q/UJGpVTPml9jRSkrElffRPXh3fbvu642EKB8fqodh3sh+dX5s62UeB7l2Vh FbbtcFQpdxcF1vV9+0Jwffk39r5rH0VBUrdJ/HUjGinODHJHz+Hn2avBcfw4 judKG2/jLTRM6wytdMP1cNFeYE+DNA30Iad5UWyHb/XTx2VosF3NYViF66dS kPZlAwUaOA/yc27GrlzadkVXhYafzkkdNbge//k3GaB5lIYq/cQuloO4vk3c DZP1pmGHyejG35o0KjDUPppyiQbWzPzSMGzJD/Oc2/xosHhi/n0L9pir232p 67i9y5hpug/XyxHTB+J3aJD2jvqQro7rK7XpKX8sDRKcO4QPqNBoQ3dW/PJS GvavXhQYV6LRfc5r13LKadj9Q8bKBZtdXcfiwnca2iNTBxiKuJ49a1zb+oMG TxfusnYFfP8wYvqmdNBQ81GyJkse54eybccNmTSseSjHYrCNRvfSY+ZeCA9C fqzhp/GNNFp17YapqscghDQ+cVrPjtczMfIXeQ1CKeet9y5sOF6OFq8OXRqE Qj+Wk6VraFR6XHHIxH8QimKnm7xYaXRLsivANXgQPkgWulSvxOehUiUt4fkg dB6M2HlqiUJXDnisqo8bBDWRAOUNC/h+umGchatkEIw3Rz3nwPfXZSk27/vX D4HOK86nT39RqHykzfUV3xDEps815v6k0D0lIwVrwSEY6xGy6sD3ZYFc7fQW sSEwfqRsKNhOIYWKbWmV24Zg6uiu+vBmfB9m/E7K0BwCZzVZVfNaCuVJ3H55 xXkIlPdHajgUUsgz+n34+pIhGOodO+HykkJf5e6s4XEdhlbJbtcccwrx6HvK B3GNQGRDc7Q/fv/p3F7f5FcwAs8qB9RYPpLow0vYQtiMQlSeFK+/MYlOvVfm EVschU6ftPvnRxkoMDjuRmfqGLwrWPXt2iUGSqfFYriOMkFc/erO8UUC3XkR bNt9jAlHmT8/VswTyMF4VCrDiAlK9wbDX/4jkGhBwQcDcyZUzeyy1p8hUGiE Vfk9OyZc9dA3jh4lkJPy8wl2PyZkvK1PFekkkOQtXl3WJDz+xSjNxFwCLapc XduWzISVYYVnzmUTqGN0oDEpjQmzflf6ZTIJFGn++dShj0zQlS+Yf/eeQEuy xl7BBUzYrbzxcVoSgTobIl6uaGKCWfAKq9BHBMoN+WPf1MKEe4F7LbWjCPRI /bRMQjsTQtbZ5cxFEOjIG4VMrW4m5Fd/DnMOI1C+b+33G4NMmHGcid0fRKAn 2/dEGI0w4edQ2L2pAAJ59MeaSjCZ4Cmu9/PtNQJtO3qhp2iKCSMFxpGcfgRa ydKcGPmHCY2SabNfLxGoN0vd2fYfnl9FG7l6E6jAOUFRaYEJz8bEiY2eBHq6 iWN6aYkJtxT1z/1wI9D/ACQowwc= "]]}, Annotation[#, "Charting`Private`Tag$2768988#22"]& ], TagBox[ {RGBColor[1, 0.75, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8Vc8bB3Ck9FVJdlGiSCIqlShPSYhkyZZsIYlSKdKqlJIKSYu1rKWS LZJtkH3LvpSku8y513bJEgm/6eef+3q/XmfGmTNznudzZJ3PmB/n4eLicuTm 4vr3m/RQ7cGMdD7kVMhgj+F50Bx6u0Vlcz7QVqs1qCrOQ/PB9d0O+/MhO7z+ QkzZHLi/S/APO5IPt1/1KsSfmYO5JasVyk7nQ0sWvdReYQ4iPCPrx27mw876 un4H+ixsrBM5L/80H5Zaamf1Js1CmVKYpPWbfFC4Esf/5eQs2AQvKQkqzoer ua4V/ptnIfAAz7JBnA+PzFJ9j1T9hR9VnJSsHQXQHPFIKHnhX/Bd72nMMCqA byaVbvJdM7D0Lh4TdSqAv1LcVVFvZ2Cn3vc9l4IKICE3rE3ccgYel9d+he4C GB0QTq/I+AP6pckCDZcLIfImji8JmIbeNbI5cyGFYLrF+Aqv4zRcuBFzVC2x EO4ET8u805oGraKkRzaZhZCac/CzwdppiIfHrx/XFUL3VeEGickpmCm6oWMr XQRJtVwRQmemID3/qC9VVAQSYinsU2d+g/iHFb3c3Ajm71yTMY+bALsHMxYM MQRd0JKfeWMCElyZdZXKCEI22M7ru0yAsuinT/dtEKjd1a4R2TABnzTMxSw9 EQjbTa2ME5wAHV+nJ6IZCC74dcyJfRyH7THWKRGqJTDFuNIj2DMGxxxS7F/3 lgDYq4he3v8LbhtKRUayS0Do+1iUqcovSNke1hY8XgLnE77KGIr+gkGBy0an +UtBqLrucRJzFKwa4hxEFEpB4PnbLq83o+CLjHdu2V4KwZNtIYN3R+HBmgmR woel8GxSWf5yywjk0vbVf9lVBqPvLXvq/wxDh8HN0Yf6ZSBgrUbLaBmGyffF YgfNyyBJ80NHxZth2HFl57HqE2UQlfe868bRYcgTVp0sCS8D9jqZTFU0BG6Z L4XfvyHXc/rU73oMwSfdlWuyWGUgp1vHLRk6CIUpI+cjIj7Dma7uay8O9cPH 31NS5rrlsEH+jWbkThaUecRKHRksBwmDDNkpLQzZbE9Ph8ly+NwRm3xPBkOS u2aBC1cFiE5bX9q2AEOgW6etl0gF1H3kOvWtlgkGziuibu2qAKQwK2p3lAlf jgRKvH9QAfWvdE4J3GTAkamaA+NjFXA/mJm5/zwdegxOiy5QqYRZPXMtjV4a TCjsXp52ugpaPHgVNTJ/gDZNpyrYrwrEypZO3/H/AXdiDfzdb1WBYnsjH/eh HyAmYsFZG1kFIQ2TbJ+BXhA9Z5qfnF8F21qE7AUse2E7t+eXqPIqCNNrULZT 7AW/b89Dg6SqweEZiqVSe+Bv6Phy15pqEGw+p3qpthueRP77q4FmIYtEVmQH 8Ey/FZSSr4W/zP+6anzbQKpBZwxUa8EdUjRmTNtAPb673XVnLeQFWxbqb2yD 4wf4ot8b18Ipg/nMzX2tUB3pLK/jWwv8b5ct1DNqhVBNSc2TVbVQzsSOVgot IH31jsvHk3Wg7L3Y8mXvFyigbZpRCq8Dzt61vx3aG2H7vFPu4ff1wJtof/a/ kCpYxbwswUhuAOkXcgdcB0uh/rZ6Y6XSF6im8UqGr8+CtCZVl7sdX+DnaDq9 mp0CMmED06nDTXC2x8lpwcN45Gd0JGCZcDNwpZ15d8A3BQ38/tHbrtYCI9mS nVtvF6NVKmbNV4xaIDo1Nq+TvwQl9RfUCoS0Qnl0Bl99UA3i2dv3ZehJK/yx 9VFIKKxBAqtecRiMNhDxKfQxVGlGeQdbzXjG2+D35KXnukea0YOTOW4v13XA 4M2cyrAvbchepEkg9UQHPJKz+nvuajua3POW4e7fCU1cq3P6jbuQ6XmrK5pj neA/sLlKyrobXdhS/kHscxdcTt8WvHTrNxT1//3phjTK9XMY1YN+vC+/3yz7 FXRjfZllf7+j29Gyx487fAN5+/Pf86T60IxHW/SGy9/AxK7yE1LvQxv38s25 FfTAIuOwwZPbf6L4+oSsfXrfgSr8s9o88ifST5A9kSneCxdNjM9c20RDb/hs s6ytf4DRSqX5kd80dHGVo9xPux+weaGXsdcMDSkPWi7pNO6DpWFBA9fS6Ghr qOPsgoY+MD4bPgpKDCS8fGRx+Z8+4OH3tpK1ZiBeFJ2+NuYnlH4woPH8ZKC2 cVqC2jIaOL5ed0pHnYk81Qu6/zOiAXXlZnrDMSYqaWp/l2dMg9Gtp5PjXJhI 9PSI/wlTGlzf43XC6zgToWR5hQpLGhxtWGDGf5KJhMXDvG840WBRW/7nrWeZ qGDadclvHxqMLMs+a3ydiZYggd2MlzSQaHRUiotkorcHnF8WT9KglpcrqrKe idSVZbVhmgZxRXu6tzQyUbFA3zc0QwPeUbwq7gsTNbXai5dy0UEmySLvXAsT jdsfCfnMT4fAGl2NZV1MpO1terV6NR128UY8F6WT66O0bVr06CCf2uNzeoqJ DnTsjT/hQ4efpWuvRC/HaGJgpSB+SoeLuzev1luDUUQsVRUTSYe83i3CobIY bTX54H84hg7qk5t/dchhdC7LmFMSTwdBX40zLvIYDfndaIx+R4eJwMZTZ5Qw Yi7ED8zK6OAT0J9xWB2jdpnM/4qG6LB59SZlE32MLjRfKz0/QofzOotoPgYY Cd8yvKQ0Rgehp5LB0QcwMsN01rMpMj5vJJNuhFHDO7Fq7wUM8NY1P3HCFKOK nVfvKEoyYInagpe7jmCUc1h/QYQuA4o9I2dkPDAKMsoLlNZnAPPPQjERT4zs 9m1YnHyAAVJs8YN8pzDi2bpkWe4hBty6Mbxk4DRGh4S+iHXZMOATlf3j1TmM WE1WStKnGdBohLh/+2G08pCbWdITBpw30Lo6eIesd39nq/JzBrzYNHSi/C5G JbsNrHKiGCATssknOggjNxWlo5UvGCCsLT6hF4xR9tJhV1YqAzRsboQ+fojR wTofP+ViBowHe1otiMDI3yDwxQfMANuwjW7aLzFqcXC3U2MzQGWV5PrfxOt8 jCTfDTDga1qceHo8RrXxKx4njjBAjls0SDoRI5GZ2Dvhfxgg6LPm7VAyRq/T ck+fFWCCVt6iVSffYjSChKwkRZmwVCM3Xz4NoyYhlpbydibIodnKihyM5DbU Tb3SYIL3yuhq11yMfOB9zlotJnRoVs3xfCTrP3VBVWoPEz7xuP23Ow8j1wqu tfyGTOCcG41+lY/R1EVJfpY9E4ZykzutEEay3w27EgOZIPNEK3N1NUbBZVrp lkFMmJ3XZacT/3qlfIfvPhOsBQ/t2FODUZm3gLpnGBOczkiKOdSS+Re3hG6J ZsIr59f0kHqynq1H9EszmLBWdAqXN2EkKGm4+nw2mZ+eEKHfjNGlOc2JdblM mPBXPlpDbFgjnRhUwITBkbCttS0YDTj0zZlUMuHKjftipW0YbQo+kdv7jQkS Xifqb3Vh9PSMzcOwXiaYu/OsmiKetzjgqvOTCV+T99/z7CbPS2ajUApmgprz hRyTr+T85wyfPj3KhJOPNY8t68HoQ5+P/N9FGPTcXJQdfmCkueN2hOQWDDol JYVWTIw6nCW3x6pj2L1MdvI18fmQ951rdmBYIm93+g/xO2bXSsVdGA4tZotG Y4xWR6jEb9fD8PrVosOtFDmvox1ph20x+NifjJLpxyhO+pRJpx2GrBjR0uPE Wgbco7aOGGwOpq9/S3zhxUZ1Z1cMD1JVcrYOYISNb+Sf9cKw4BezTWsQo7o3 G6oeBmBISw3fpziMkXtHsfuKQAya8QZ+zsS8PBb8T+5iGDQYGY4m1j5y3Tjm AYbQuscJSzkYZfC1tr55iiH1ToICk/jgVnefTZEYZAztvSRHMGI7zIplRWN4 ErVo+iCxXO56208vSU4xTOjMJI5wvdpX9QbD1RL3Iu9RjNTCVgQYpWEQUViw Jp64oSBl7Zd0DE8DAysbiRcJN7t1fMBwAxf9WP8LI79S+SFGMYagDXZ6zcR2 q79Mc7diaA9YOc81jpGApHdOQTuGFKXrYQrEpcKi53y6MLj2iesbESv8d5TF +o5huOLOunBizhju+MLCoPzRP0l0AqOE4Xvh9wbI+PulLurEFmzlQ/uGMVA7 PQ6YE+f1elfkjmGYV78bdJ84oGYuO3YOw3KtZV/HiNXL489Yc1PgOJLYtGQS I6pYd+MKXgpYbQ3DcsT8nYlnd/NToH51u5gF8dx7FQftpRT0PN2i4UKckdok OSVAQXu39KQvsegLsUeeIhSk7P7bH01cHfnpoLw4BZKiWnJpxJcj7Bb/kKRA fNm2gCJi5dD5z8+lyfXtAksaiHvvJfiby1Bwb9lQ4TfisNv7tZbKUWCqM/6M TbzPnzVZsY6CYyMGMZPEry9s8tqpRIGoxSlZgd8Y2Z5p3jCmTO7/3a0ECeJl HheY71TJ+iouGcsRl7iKx7ttoeBiubfcRmJvx3y7Ndso2FISLruVeJ2tvcTX HRTEFM0aahJ3WHC1PdakoDejM24PcZBJYqjxbgp0rumu0iPWMtQz4ttDgdrE iUpD4mFd9qJSHQoOfT0edYj4JTwou7yfgrPfj0WaEZtrql5XN6AgO87/82Fi 3m0tO4cNKbiURpOwJM5V9Zl4ZUwc9D7yn08qSWQeM6WgMnaR3j9LyxeckjpM wVdDgdUWxI0yDortlhSE9LBkzYlvrORmhNhQsCv0k5kJ8VbRpBcGRynIDUlM MyLGy/WP8jhQcHiyZps+8XP+frFCJwp+NZn07yU2XPiwxceFAgFJmzot4tl5 1RBVNwo+5y3sVifO+NNygO1O7ufeFWEVYucJn4WJnhQEWPZcXkcsMiJRaudF gVS74XIp4qr+gqti5yjwyGQ3CRJfZjpoNJ0n+3/rG1pIrNzHPX7Pl4KnLTo9 0//2/2tS+r5LFGyU0FEY+rf/7fqes1co4Cucif1BPFH7kHb2JgXJXuvFy4h7 lrS7/71Fge7ym5uyicsOSnPu3iG2mQpJ/De+8c1M3H0K9jDfbwwg9l3+66ZS CAW0+/LuZ4ntTXcuzg2jQPOl4rA9sVJLlUjDEwrCzHU6txMLCi+PtnlOwadf oZr/3offh61kGVEUcC3sopYSl7czVGZeUODKVbGmj7xPDt3c+hveUKCoKbD8 OrHuygMNH95RUJKyscKFeOPRsMN70snzNl1VaUA81bPayfoDBcPO7NeCxOF9 WpcCiykwXCI28Yy8736yt+YFSyno2F/F60fs6FwbGPOZnL+na52siZUZNuHZ 1WT8IoM/wsSVlM/bny0U8AesR7fHSL1WLNp8up2CB+KSqo7Ej0/y5k11UhCX dW9Ag9hpILx8+XcK7oiZGfaT+vRnOP37boqCqT7LBF1i1Un28qgZCuYe/23p JPVQbMfmp/JzFPDYSYi/Iv570U86k4sF6y6Zp/oQ104v2lC9kAVys3fzBIld Z9fqTC5nAaui9LY2qb/PeR0umK9jAS/7eb/fEKknLuLbmhVYwH/R1FCb2PVz 04TJBhZsUQ3nWkCsFrDvovEmFngPrTgXTPpB9bziZQMNFrxZ/cj1EekXv/+M +WsfJP/v1c9Ufzapr7Zpe4oOscD2kfw1TeKyT27cu8xY0Obq9nqchVGIX3fA TisWmMto8p0gVpgsDlR3YsEaxVesfaR/WY3eu690gQWG88cO9TIwKjTddzDV l8xXIPIuhFgu4+9SxUsscHNUcdEmHvY6EyJ/nYw3ZX+PpmMUOGjxaE0QC7St p/hMaKTfUjLPxGJYkLQlb+9T0m+Fe3MSeMpZYJc9T39N+nXI0mvXPlayQCkz XmgXMb+Wrs2pGhbQ1py70Uj6O8/zlmUdjSy4Orhg5WgnySNmHL/Ubha8i6T0 VTpIv69QNDHlsCBrcDT5JskPD9KiZ2JXsmGwnSkXTfLJ4h7nDvNVbCju9vAQ I77Nr5TJt4YNTdnO42Ekz1w5ked2Tp4NS88LNt0iecdDtr1ZV40NvfsVU50q MTJ4IvB6YD8bxOR0pyZLMVp47abFznNscIhK+viU5KsPo4PT6DwbhLxHh3n/ 5S03mxd6vmwYLm+65U3yWLmJav/hK2ywK4uoNCJ57bbcd3+vQDYoh5hlTWaT +let8TYxkg2Nzte3bkon9WHvuYVN8WwI9h65oUDyH4/wCLdAGbmfy5xj60he 5Ep1SKcJ9cOb65nXN4eS8z7Y6fVCtB/mbL5KuYeQ9auZbbKT6IfCgaz5WJJf xfP2pbWv6geaUH003wOSp6oU31Yr9oMyD79iC8m/dsxfKe+1+2F11nCibgBG n2Tvxl326AelBv7SFxdIf4hKfyhU1g+L9wYob7XG6OPfqLtl5f2wxvLIyz1W 5Pw73LnpXdUPU/vj3IwtMbq71t6npb4fxvUL+10PYxTzjt8+vLMfUl6att43 Id8DxceVhYbIfFv+bvtEvi8k6FJ1KyQGYI9HXEn4DoyKNgYtXuE1AIZrS6t1 RTFaYeitHCAwCPnWjTMa5PuqR6Wp9VLhIEQEHYtYcJGJMuJgHcNhCPK+tvPt kmYi+/TtK1bNDcG4y/ptL/IZ6EZg/M2eN8NQ5mR+UUOfgdJYq6IFDnIgQlsH F7fQUVBsoFPvIQ5k1KdnJzbRkav5kPx7Mw6wVs13322kI+nCwgxjaw7wrHHZ fKiWjoJDj1Y+cOaAwBeZpa2ldOS+PXKU/xIHpt6a+BVl0JHcbREDvhQOlFeY HhMNoaM5javLOl9z4GXNQlvmfTrqHqK3pLzlQEJ92LsP9+gozDrbXi+TA7Sk /Y5mgXQ0r2R+PrCQAxZ8YzMBV+mopzk0bkErBxTrgiWqPOgo785vl9Z2Dgy6 jGU+cKejCC3HDYldHPB1S0g2c6Mjo+RNH3R6OdBEH47uPkZH+X4NNTfZHBif nCv/aUNHT1W2hZoNcmCXjs3mBCs6OkeLsZDlkPupUpk6ZkFHigdP/SgZ54DV yIknP0zoiJe7LSnsNwdCCro9Y43pqC9Hy8PpDweKBWkxtkZ0VOiRqKo2S57H hbuK4gfo6JnMkon5eQ4YujQJtOrR0f8Awh763A== "]]}, Annotation[#, "Charting`Private`Tag$2768988#23"]& ], TagBox[ {RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd13k81M//AHCkSJErlaOoSBL6JN+ivMqV3FeRK0kSEYVI0kUpSUJuQim5 kko5JketKGeuElrv9753VyxC5PpNv/1nH8/Hzvs9r5l5zbxm5VzPWp3k4eLi OszNxfXvW4E/OPFwSQXwSi47mfl1EQQG1vC4vqkAz9TpfQfuL8IjePD0QWMF vM/Rf121YhF2ZwiZf+ivgPqZT5mdRQvQtBA5OfW7AhQbRoRLXRfAzXlpqiJ/ JVxRN+cellmA2corOvbSldDKs1S/om8eYmXmmHfUKiEi+aV3VvY8KIZeuFep Vwm8xlM6pV7zcHivT6+sdyXIvtvoILFkHoreOQRSlZXw8JvDe26DOTCQ7JJe 11YJAnO8EV/XzUFvsFWtEaMSjisITj8emYXlew4JFwpVQXcfFcRJnoUTbzTy /I9Vwc4DpSYuc39hTalIHzc3gqn0rVPMnhlwjJq1ISQQ8Ol78VWWzkCWG9n4 URlBheHd80tiZkB59du3d+wQKA7Wb+o4OANvd1tJHPZCkKA1YdezdQZ0Al3i Vxcj2GZNq1tfMQ0aqbZP4lTfQ4J86LenpX/guPMTp6d978FgPs2itWsSbhhJ JSWx3kOFs5Xc9/JJeKIR8/X2xHuwyfCzlMichF9CF429BarhrW1JqMzpSTjy Jd1ZXKEaUgINavnkJyEQme75T6MariU3mhydn4Ao2UnxirvV0P083ufX9gl4 Tdf93Ly3BkKK1NYkPR+HTsOrY3cP1sDRAvNc7vhxmCqskjCxqgFyeTJ16/I4 /C9kz/H6UzWwe1h487jlOJSJqU69j62BiFueyQp/x8D9RaZYYV4NOGkGscob xuCtnqRsCbMGqtSUh76aj0HFk9HzcXG1INGx9HiA0Cj0rlRJssqoBXdZxymr KQ7MnfOqEs6rhVP3rPcymzmwDxj8d1EtJET8DEi8zoGqru9p4exaiNjzVnPp 8AggfhotcH8d/DBarVpNG4Z3f6alrPTqoDfpscf+8mGo8UyTOvqrDgy2TEre Sh6ClywvL+epOiiUSLfZHjIEOR6a5Se4PoBTfoHYmMMQhLt32fuIfwDt6R6L dpkhMHQVSb6+9wPwfi1Xmc9iQ/PR8LWFUR9g/63Ic+UlLDg6/enQxO8PEOcR eenYbSb0GnqvXrL9I3ic6bLIZlAwqbBvVYE3DQJ4m+5efkiANl2HdjuIBhdF 0r8cuURARJphmMd1GpQtu3Ph4HECJMRtOJuSaKDiu3DBbxsBq/0s3j1+RwNC POuAac8gaHB7NSfX0UBtlegB4v0gBH1PvHdLqh4qlakchVE6zN2bWOX2qR5U Bez3aR37CfFJ/z6fIFTErHJevx94Zp4LS8k3wLKnM5PF470g9UXnN6g2wHr5 +LSUT72g/qinw21PA/R+SgrIyeyFk4f4UgpNG0AzYvVWYfNeqE9yldcJbICS rKoG44LvcE9zneZpWgNUhVps0jj7DaQvRZx4c7oRrsjR+Sb4uqGcrjKrFNsI +buidmsFdYHGostr68LPcFnkTfCjiHaQIS+uJR5/AcPehCCVkBb4fEO96aNS M0Tt3FV3/yQNClpUT9zsbAazsR8DufW1sCFmaObZSAtwpZa+KKh8AUHGR68J irXC7Tv1JfY7CmHoT39fh1obcKn6MnqKE5DMdsvWEOM2+G9pjuRm3zSUwy5v EIpuh/cRf+p20soRz4GB5uH4dohPNF+bqlGBhGRyOQTxFbiejfB3ONFQmUm7 Jc/EV1ge6bXKtIKGok6/cs/c3AkVwjwv1ZSbkZN4i9CzU53wrM+zGpm3oKn9 zwmPsC7QnlHruXmkHVmcPxKi+bsLTpY9knI6/xX5/1dXKlHbDbcGbv69e64T Jf//+vRAt6ZeUM7BbtRfWHenVe4bNHnG3A3360E3UuROnnT+DkKKAxFHu76j Wc+vKVsvfofptpBFVcFetO0A34J7eS8YShyT3bG7Dz36nFWia/ADJHydLVMF +9HBLLlTL9b0gcWbJkbllgGUx2dfYmvbD4prfvxI4P6JLsgc2/jTsR+0dQYG HJf+RMq/Dq/oMh2AORPBl4Eff6Kd947NL/kyAAGNVWG6ZnQktmqUv+7vACg/ cvgsE0ZHvCilaFPqT3D1v/piaPUg+jpBz1ITpMP4gcdfI/0GkZd6ec9yYzoc 2SJo+Cx7ED0/5JpZNUWHiIzqaldJAqkry2nDDB1u2Ptun5EiUJXQAB4kHZ4O 5sZGyxCopd1pTTXXIGxPKDV6LUugCaej0bUCg7CDYx00o0Ag7XMWl+rXD8Jo YCW3+U7cPlnbrs1gEOyiTtzcbUygQ50HHp0KGISAw4LrLE4SaHJIUpiRMAjX vbc1igYRKC6NoqUmDcLVv4qeEcEE2mleGmadOghiL/0Z0xcJ5Fdiynn/aBCk VkoFfQsl0HDQlaaU/EHYVZ/EF3OdQORSRpRlzSBEXUyQ+BBNoI4NL5ZXDg9C dkEGwy6HQK+sDy6J08P7PPm7h8ZnAt0yLguXPkiAhbppuPkXAjnqbuV/fIiA ox9dXp5qIhDPzhWCr80IWMPS1o9vIZCZaLNEtx0BsUci9cmvBGK2HFGS9iag LfQhafeDQJJm7pY58QRc3prDHzOM49PvaldOJMCu50vFnRECvd9neORVMgEr yd+3IjgEct+u5PAxg4DjW/6eDh4j0MuVI27MZwTUjpja2EwSyKQxIEi5igAm f8VE3xyBwgzDM0oZBKRvdHhluIJEbc4ejmosAkyq3N02rSTR5gDjdflDBIit 2Ks5j93wSORB9igBzv3j9oVCJBKfTYuI/UvABRXbgGWiJHpa8NrbV4iETF9q Z/RaEo0i0SPrVpOgucq1IFuSRC2iTC1lDRKEVO4tmd9Moo1bG6dzd5PwwndX f4U8iQKg8NUmLRKMfGcYIQokkjzjryq1n4SIrVdC/mwhkdsHrk0CRiTsWr6i klAi0fSFdQJMJxL6eEc+PFQjkdwPo+7scBLG/anlx7VIdLtGq+jwLRJMHJbU i+8l0XiucgTfHRImhRJiadg154TUvWJIkK2mTJW08fv52+79l0LC6L5CV2I/ Hs/Ooweri0nY5sKvts2ARCq3T73u+06CoOX6Il4LEiWctbsb00eCh95mh2Ts RZtDbjo/SXDnfblO1RKPd8M20ScMErJktjQftiKR36sRb+8xEnh23JZNtCFR 6UCA/NwyBrQfnwoftSOR5v9uxK37jwHe8q9Sx1xI1Om6TiNNnQFtzfxDx4+T 6Hx0YZfs/xjQIZp6thU7n+yWVNzLgHFPEelCVxKtj9v+SMOAAe5ym5c5u5GI Z6yzwNqeARYZUtqJp0iULn3GvMuRAVNTitxz2FqG3GP2xxhQ86NwztmDRP4Z 29Rd3RgQda44beNpEjFMr7zz9WGAuKDjnUxPEjXmbaXdvcYAT6OCnRe8SeTR WeUhEo77r4+ObsLm5bERiL/JgM/GopvlfUikffSyaWoUA5qe3lxsxi7ma2/P S8Dtr9JDpH1JFOd2aYCWx4C/wz9yY86RSC1G5JpxAQMEot9WfMf+Uv5kU3MR A3ozLIUUzpNomVire2cpA7RfaHmUYQdVyw8TVfj3yLi/7f4kclzfPMPdzgB2 kchrRiCJhNade1Xegfu7nkspXSBRtdhqv4BuBpR8UtXwwVZY7sBk/mCA2Wy5 0jg25zejs5nJgBu/9gZygkiUNRIZGzmE5+vzwAPlYBLZsJTNdEcYUFZf2eyB XdZ37sPr3wzwmK7L6sO+9mnhZdoCA1Ye8XuHLpJIve7RWVtuCtilB5smsakq vW0ivBSUrEji3hZCouVd2b77BChIK7/WnoG9OkPivpc4Be/TTNptL+H881fx 2aNEQdS9fcJloSSyP9u69bcyBWdszVQGsAU9/cl8VQoSysx9+C6T6Nyxd46y uygoVUQ21thaRgbGfPspWDt2Cw1gj+ixllXrUFCsbjvGHUaiTIiquahPQf3c IYON2Ly72vaMGFGQV7bL3gW7aYOzYsdhCqb1zVTasK9IchPRdhQ0xZ4O/YW9 c3VOhqEDBTbN3aNLr5AoUYAtUeFCAW/IIX0NbKOld9sCTlBQx4lXMMWeX1SN VnWn4PKxz8onsF0nA5Zme1FwMTjqaRS2+OjaakcfCqpSXdZnYtPY5Zck/Cjg L3j5tgRbeYB7IjKQgqcfPY93YPd9yynSDabgUuVaHxI7puOg13wIBZ6XejIn sCcb7tJ9r1Iw56MQLHyVRL0rOjzmruPxFxuYS2PXmEhzbkZQ8M1h4NQW7Gd3 TwSIReL2KiK1O7BjmvJm0+9QEPd9ykULO3DV+FWlaDyfy4oO6GE7Wezhfx1D AY+B7UkTbL37V6IPPKCALi/42RpbqY0m/iWeAotNIwH22MJiq1LsEvF8Fq45 4YL9x/qIHJGM80E598FJ7L64tNyzaRR4/H7L54ld10Fsn82gQNPUG3lj50ko l0ZkUeBzoe+dL/Z92/Oaoo8puJ2l9PccdlDiu/dpuRTojfuE+mM793Af3JpH QWJovV7Av/gkD30pzcfrZ2Zj8c/bHGKs9xfhfDqhmvmvvWhqV0/jCwpc8gPV z2NP9653sS2loFfwoKDfv/hk3Bn01//Wr1LJB/uDc8EZn7e4vzNTUf/izc+Y GJ8px/2NC6m7Y8cOaAWHV1FgkrNJ9vi/+OSuLwpX4/xUsLR0wD7m2hCeWktB qmgpzQbbIFtkpeJHCowmPK6bYisTdrEv6ymINY66of8vPvnMtdBIQcsdzca9 2DMnqfSGL3i9pGJsd2J/pAKe/2yjYCAy68D6f/EoVu7w7qAg4s/DDFHsB6d5 y6a7KBDqeKy7DNtlKLZu1Q8KlgWFOA/hfDFQ/maU0k9Bn2dIRy/2dm+5VgU6 zk9F3gdfsP+OFP3YR1Gg0r2Bno89oPrnxCcWbh/PPp/yL199tdk2vyiIeVVg EokdN/55ymuMgnPKUe2u2KpTrFXJsxQofyneI4gt8b8dCfILOB/q9JdN4f00 dyFI+gUXEzr5iiX7sBtmlm2tX8oEgUU/qXxst/lNOlOrsJc/DQNsI22v+qui TJBcQtz9t393hJWYCa5mwu6dzQQv9gLXAYfNkkxYabTBm4b3fyKvs7/VZia4 mCWydbEXTqzZ1arABJXg8VE5bLfalknzrUxoa6IOLuLzRe2a7gVTFSao+fMz 32DXLypeNNzNhKlHfb9lsVWO0TVpmkzIP918dQafV3FVKbP6+5hgsGfT8VZs l1ChUF0dJlwStxUPw/7z93eYtgmO/3S2eRs+7xztC/ZXmjHhioeL12Psmrfu 3HstmaD8RL/nAnZ0UM+1PUeY+DxnP5fEVpiqCld3YcLry4dU7fB5emQs8o6S P36faFRtCT6vKyx0TZ4FMuGInopgCPbG4rmVisFMGLcMydPBHvE5Gy1/mQlr IWCgGZ/34b9s7sveYkIi88peOq4XpdSGhxKpTJiOT/7EwPVErO9VFk8dEzwb B7+dxfUqemVo6JuPTPCX1t79r34JaOnZnfnEhNvNB5poZ3G9TWwT7GxigmNs WY409rglJ+hZDxM0199cqMD1seWDorkFhwmjwUmXu3E9jSpImU2TZMG7Jd4B Ibhe8/e6dlrJsIBL99P6Vdg3BJRe8MmyoCrNnDfrBIlCTpW5+8mzQPPYwRsf cL33lOto1VNjgbRbj/0SfB8wjBd6OqTPgppR4Yv2TiRaGnrVZo8fC4Ky7mle OIzHN/ZrBp1nQUTm+pBZfP9wc7fLMAhkQb3/H7Ew7DpzVbZ1CAtGBb6Z3bDG /W/8EeYTjuMZeDoUge8zvPW7n2cnsaBYI6z9jCmJLh7wW9ryiAW/ha1+5hnj 8YuNcgvVsMCKamCX65Go5KZDblwdC3gsrB23YbvOfTSRorGgk1GkmKyL15tM e6j4mQU66eptATq4fpYZb9ftZEGM6QNPeXz/4nbOtQtis2Czc031SXyf43rm XEQXZUOU3ar7Xjvwfv/V5ZOxmg3/CSrml+H7X5SapYrjWjaoxa3nX4q9pky3 oEOGDXTgvZ6igvOVpvi8XpEN09mHbqJtOP/I8SeF2mzoc7fpG8T3z7dyN9Mv erKh+Ha/R/o6XE+Ti+6K1rBBYEtuf/8Cgd7MJd+sqWNDVWvSMh7sOeeIq+do bBjY+e7ipnkC3dzkFND2mQ3RM+1GbrMESs0XcIrtYsNa/8SoH38I9KHqpLLo MBvO+BTkFo4SaO2gVKPI2iGgjznVNf4kUOW2W/wiPkMgTHOqmKwmkIjROeVr Qr8gvULslkUYgXq3t7QHV/yChf/6VR8qE6g4HTYTzsOw16SKr6pjEDkVaYjI LAzDNb4dV6ovDKIr4Y+u9uaNQND+tPQV/IOogCmTImTCgYgzLh8bE+joVlq4 S58ZB8wu37teFUdHblbD8oWWHJDIeBhfHEtH0hUVxaa2HMgnDpfFRtPR7XsO H6NcOaDUe2nGLIKOPDSSxgSC8fMPR/1yA+ho4w1xQ74nHLA7RQZ0W9PRwu5L gl1POeBS9aDvlSUd9QwPtj15zgGrF5vTYs3pKMb2pZPBC/x8q6C0kTEdLSpZ nQ+v4IDNoS65Fzp01Nt6L31JOwfy7JbYHNtBR2URf060d3CA7RKy/j9VOorT OrY1u5sD+6MsgHc7HRk/VinV6ePAO261G08U6ehd0JdPV1kcaCHvSw1uoKOE 7bvuWf7iAG9pdVKxDB350VNt5Dj4/ccjfUKl6EjR5Ez/+wkOKGvOS61eg/// cn/NifnDgeLaNxP94nQ08ErL0+UvB4TYCpvzROmowjNbVW2eA0SjZd55YTp6 uGHF5OIiB9Suws29QnT0f1UiY0s= "]]}, Annotation[#, "Charting`Private`Tag$2768988#24"]& ], TagBox[ {RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13c81d0fAHBKkafISEUpqR5kPdGifDISkYwGhSRJCpVIaZlJSEKZZZSo EJIkx76yR0hG1/3e8b3XuPZK/I6ff7zer3u+Z33O+ZxzZOzdzC8s4eHhMeXl 4Vn8L/j48ciBKwg0PKwlytsX4PpgsqqrK4IGrfLsVzkL8LkyJM3UHwHPRjNJ zpoFmEvwlFaLRZBvYPleN28edDztotZkI2i7Vn+96vw8BJkcWTldiUDW21Mo bsM81G9X9/vVheDt2sGXj7v+wvt+v4LGpSXQ9ZWumn7hLzR0TI+VCJWAYuYD zlaVvzBS7qKSs74ERPQlJGizc7A7/tSbSJUSeKj0t/vH8zmwCqrrC9AoAYvq Q/LPnObgzg3tjTcPlcBp1ufgGI05KDXeEWl1pgSM4p/6zPX9AeO/8z7SD0tg 6GRUfKTmHzhn+8bmbW8JRKXuEpxaNQv+R6RiYtglkKw+TQnkzMCb3eE/gsdL YDJVMN6PMgMDQreNXARLwR21VeT4zsDJ+kRb8e2lEF3WWPVIeQY80dF9O3eX QuZOWvudv9MQsnlCvCi0FFSXT1SpLpmGfJpuXeP+MgjVdnpRrjEJ7QY+I6GH yyD4wPnNfpsnYTKzWMLYvAwKMuNU3JZPwh7vfeeqL5bBX9kw+veWCSgQU5ks iSiDF81Dwp4uE+D48ZVYZkYZZClHD4rtmYAvepKbc8gyKBb9ai6dMQ5Fb4bd IyPLYfxold2OA2PQvVI5xvxlOVT48UfY/zsGc9cvF6/OKId0qef++SJjcACY AqGoHF5tW3EllzkKxR1dCQGccrCp6vox/XQUkACF4nmwAvS/Nrm4D45A4dS0 lLleBVzRujTvxRyBMucEKauBClhXe9HYPX8YctmXL9tOVkC923wi7+thSHXS +HqepxLOlIVZJD8bhgDHjtOu4pVw8fUXE8lrw2BgLxLrt78SUs0cEqmKw9Bo FbAuM6QSss7cdDc7xgWr6e+G42OVwFQqvZ7KPwTdBi5rlipVQVb3xfFY80GY 2H5A+IMLBf4Wnjp2KZMNWjQdSrAXBTI9Pu9NCGdDYILBfSc/ChiqCv87eJ0N EuLHubIxFPC5NGZN3cOGNddMC18XUmC7leXxlh4SdvNeboytoIDUepVjwuUk eHW9eBIkVQ39N0Mpl3pZMPdkXNjhezXYpV8qnPmXCVExi3/f4UG0G8VHlw5L Zt6tltpWAzYrpxyY8zSQqtcZA5Ua8LuuqfiIpIF6Umebw74auGyRR93fQoML hvxxmUdrQC36w7f21zSojrHfpuNZA+4m8vwtR2nwRGO9xiVKDSRWGh5re9UH G+4Env98qRZ4w92yH5lT4StN+Y9CRC1oi+kqPOOjwu4Fu3yLzDqQW09paC7t go2M2+vor+shbfzvqXOeP6HOX72hSqERYuOFJz0NW+FDk8r5h+2NMGIh4O58 shk2hffPpA81QfWXKeFxRhV4GVn5rhJrhurnE8ucblVC/9Tv3jbVFnilV9fd EJkHG5XMmr2NWmDIKLfOrSIHUjlfa4TCWoFHUHJPZ8AjtESb2jgY1QpKmsHy hrqhSGhjGpdO/wHUcA//e6GfUYFxq9mS8R/A0RF8fMKyAIVc+uT4ams7kBc1 A7fJVSAb8Sah9Ivt4KV7qjM9vxJNHnxHd7rfAdVPXNhVu+qQqftJb42xDpD7 tLNhd0wDurGzIk+i/CfM3ZaYP3ytGcX+Pz6doOqseW7CqRX9zqx43CzzC8bl tLzr3/5A/nEyFy7YdoHHQMOTC/s70B/nH3Hyt7tgIKImCTw70A5t/nnHr93A PKl32ri2EyXVJefo6vcA8hALPvDxFzqcLHPx49pe2FmqGCuwshtl8J/OOXXq N7SQKStdaD3o5sazW/qsf4NqfvtQBKcHKQ6c+KfjKBXkatP3RoX8RmpPzv5d Wk8Fa5MLVWVWVCQmPCxQMUuFjG+DqDGMivhQXJZsfB/486av1FPrQz/Gacmq q2gw0XRve8HzPnRZ/WvnCiMamJn5rP3Q0IfeGdq/Kp6kQdn6uV31ZjSkriij BTM0qGq/tincgoaKhahd6A8Nakc6J8xO0FBTq83aUh4Chle9cG6xpKFxG6uw ckECVnSc9646S0Na103vVEsTIKsY5OntgsvHalm26BPg7XYvUzKIhgzbtZMu ehDA1dv6SO81DU30S65mRhPwvjcxcn8hDUUmsCjxMQSMKij/1/OVhtSO5d23 iCegN+J5wp1vNHQt5yi3JImAlsGdrM8lNDTo9aAh7j0BW00l9TdTaIixjBli VkbAT6sYz4JWGmrb9HHFt0ECTD3vfxEYoKFPFoeXRurR4ZZ43cLe9QQKMioI 2HCYDtJ+n6RvSRLIWlde4LUhHU7GpOgVSBFoido/q/JN6JC63/WNmjSBTEQb JX5a0uE5XxdFWpZAZNNJhQ0udFgW/DanSpFAkiaOZqlRdFC1sk+zBQLdNwh4 mcekg3WYRF7hOQK12DpZq7LxvldOkf1iT6CtHkbr3/fTYag9NTv/PIFqkkSe pQzTwVOtXDbrAoHE/yQERszSIXIw2D3qEoHefsh3uSrEgKatU317rhFoGIme XL+GAQkHPGcy3AnUJEpqKu5mwFs+L822+wTaIl87nbaXAYpBG3M/PyCQB2R+ ktVkQKAz92iMD+7vlRsqUgcZYNv6fdDKj0AOlTyygkfw9w9VupoCCTR9c70g acMA5zSVZ1GhBJLpOfIzJYABV6z80rxjCRRcppl1IogBOpb0Mos4Ao2mKQby P2YApyGZqhBPoLLrQuqXwxmw/JbQ1vYEXL9Ay5OdcQyoc7jZtDkJj0fN6nBp NgOmZ7mDgWkEUg6+mN/bxYBqt0Ppz3MJFO1mGRreywCauo6naR6BFo4bOuj0 MUDOV9pY4BMe76Ydom+YDHhzHcQ88gl07dOQi8sIA7ofJ4nrfiFQHtVj29xy JhgkhQl/LCaQxh7/yPU7mbBE1kWrvZpA7fbrdyeoMyEkZMc+x+8Ecg/L7Ni8 hwk/GqXsJ7DfM35Kyu1ngsQBRRCpJZB0pFLSbn0mVJzXVoB6vD5G2j9YnGYC 9U4Gw72ZQLUZ8pRQXyY0RV6d0e4kkFN7sZNIABMOPhxcWoDNt+S4YNRDJpjz HNNW+kUgLat7R+NDmBAYbHZiTReBsvlbWzOimbAz+hizq5tAkQ53qJQMJqh+ bazVoeL1Kd04w9vKBFfzlEQvJoGE1l//9LWNCcHnzFf2YJeKrbnm8ZMJs1fV ww6yCLR9xRmS7GHC1qfajXwkgbhjzPZGkgnK+kZGvmwC+X6fz02Yx+W71MzM BgikXpHkdoqXBePshxJp2KxivR0ifCx4/6xy9A/2io6UqwcEWdAS53SiYJBA a15KPL0szgKcRpczh3A8byi77lNgQZ4gteTgCIFOuzXLjymyYEtkukAQ9irn G4z3Kiyo5lu41IB9/Wyh9eZdLKi7OXbLcpRAmkf0jfgPsiDS7mHruTECDemx l5fqYF/aNZCE/QpCym4fYsFyiS+b+rD5drXsGzrCApMqeof1OIEaNtnKtZ1g wW0D7aeGEwR6IMlLD7NkwWzB6gBfbLU1qS8NzuD+5s5GFmK/EORIFNmxoMkY rZCbJJD9hMeylMss8NzuajSNPVETSrvqw4IatQPmrtME6v6nzWnOD48vRNQ4 GrvMeAP3YSCub8HK5xt2eEPGn8THLNgdUJy4YoZACi0U8fooFpw8cfLtC+zV YsJxli9YsH3jLp9C7CmLkzL0WDwf+/2iu7Ar2uhKf17i36X6PaVmCWTbyXtY PoMFAjdPiEZg60ka1ue9Z8FqH6mWD9g7zoRbHMxigeSHI43V2NPd0nan8nB/ je1857B7Nzoyafm4P0/89675Q6BK2w9XXL/g+XoaqqiEHUHVvBVQzAK9nuqG 09heMn4Lq0tZ8OPR3rtXsc/a1wTEl7PA/yu/cwC2It0yIreaBb2/tRbeY4tu e7UOalkw+p1IQ9gzF1iJNfUsGPrX/kkzdhXL411fC64vzkFqDPu93Lf/XNpY EK61rWTJHIGeXeIrmO7A9yTXvaki2LczjLT8f7Hw+i6ibMK264+oEO7B8eZt VFDC1lf8dSTuNwuyA8Lq92Erucg0b6ex4GDvuuxD2LNDWT0HWCyoKlm26ww2 VWXq/Hc2Xl98qR0O2JSrWpzjAyyYDPcvdMHO/BhwlTqE17dMZY8HduRo3eTl ERwvRz/tu9jeauJ3p8ZY4Mzbw/DDtr9xZqnfJAtOB3FrHmEbfEp+JDSD++P3 czgMW2WSLRz7hwVCbp9OPcOW2PNf9LZ5HM8vKQvR2HM3vTZ85CHhV3kJGYNN FKDk/UtJUKbLi8Vj18wsl69eRoK5/dy9BOxsDZMsCwES3t86oZiI/dw7atdv Qfy9pbnUou8VdX91XkVCkcxq48XyDn9ldSaFSXBlvyuOwz6idbnaR5QEhwId 98X2/rufY7JqDQnWwSOXFvuzrmTmx4u1JDiZtCVHYM/zaJ/ZKknCLFNQenE8 dO2gvqwNJDDls7qCsGt9Gy9qbsL1UXu7fLFzyiWGqmRI2EDJl76D/YLP9ob5 VjyeMIvUG4v1nV+7q3k7CVvHep9fWexfedPEMXkSkk2L284vjndLcH7DDhIM QlbansZW9dW9eVSZBIUHdFVT7Oi+uT11qiQMzNqZLMZ37mD+9BE1PB8oPn8x /tULcrcN9pLgPFt0cTO28lmaBkWDhDvf2rNFF+NZHPfn0AESCh0kD/Etrqe7 Qnd1dUjIvPPoGAOvx6nZsftaxovz1z+UiG19+sPBbyYk3Hi9N/IxdtkXR979 ZiRMb/YLuIkd5tXpu+8kCadzbxofxd4+WRygbkeCfvEX12G830JOeOnn2uP5 qP7u2YE9mvcf/84LuLxwWu037GL31CAVZxJ+vla1DsI+OfLoscINEnw/m0qt wS4y1TVO9yRhtDguZBLngy3ZcyvlbpGwOcDHqAN7yNUtbNs9/O7Q8suJxg4Y OP50cxCOR9R2uVXYHCMh85fB+B0iIryCjfOR6TuKqHQoCeOiNnsrsDc4a0RK RZAgvj/M1ws7j7XpuUQ8Cf6sJdU/p/B94HDnqahEEoZi26SzsB+8iVgnnkSC NLutwh/b+MKyWJE3JJBRZfNK2HQaJ35lNglvXvEoeeF8Kdb7KXlJBY6vY3hQ P87HYSvv3v1chccrWXI2B1tQU8/yyncS1IPynLywl7xoWdXeQEJGp+PqJdij Zlyv9E4SdhocLfwH5/emSrljplwSWoxaIqaHcfvjXPlloySIzidH5mBXb/nM VzhOwvYdm2ouY6P7hwplZ3G8Cp82dXHx/t5nv22Kjw2Cq1JMcvD5FPIh7k+C JBv4NjjI78PnmUC3fbv5RjYU8Xa6M/sJ5C+o8JF/Mxuu7GsZi8D2vljgeG0b G8SnKiPZHAI5y7Q166myIX5Lr00oPj8NooTe9h9iQ/U0z/YsfP4uu+tzfN81 NtAutB+3xud13sjADHJng53h5Lep33j9O1q+1PdkQ/h/329FYFccU+FYeLPh oEUfu7IXt7+l575rABusIw0zt/bg861677uUGPz9HtOuUnx/uK19bVlTEn6H qu5RN/yJ509smFeojA3DyaO23i14Pz48kxZZwYbZ9FkDXmz7uSpjKQobHrx0 CQrE95MyRsJzuTo2vm+T/E+a8PlfYKSk286GIEfff140EIjXNs3Si8OG1aee 7gmuIRBPum0WTZQDNJOSXG4pzucDHa4v13DgTUqc23HsEFUzZet1HCCpio4F JQRaW6D7oW0jBzaQ7UvvIbwfKXLvquU40H1EmI/nG95fjNE3mVoc8OeRUv79 mUBfZB4m3nbmwPzD2+2CH/B9IDYrVLSMA2Xnpks2RBHo81zsw7IKDjww2JR6 PBLvf9tAn+sUDpgqMhsePyPQQ1kbj5Y6DgRdSP8z9ZRA8e8FbSI6OOCIrPIo Yfi8K76gKDrIAYWFvjy9IJzvCKlakXX9MGrt5//pNoG+7QgSEHHtB43cy/We NgTa/WNtfcTVfsgILCp+ao3z7520p+Lu/aA+MC/2/gyBkuurJNd59cPByShO rxV+P7gtU9rk2w9lmoWGB04SyDzX10wpuh+y7ZR7uk3w/UnjbqxhcT8IqIyU puH3gMiR64q+QgMgXTvxyW0Tvk8oNbXeKhoAp19Ots7NNJSdCFvptoOgLHJx RfY9GrLJ2i2ycX4QHPW/0e5vpaEHAUk+3RlD4OS9dFVaQR/6QG6MEzLmwhWP 3p6qI30oKCHArteEC4428krVBn3IwXxwW6YZF15c5q+v1u9DG4qKso+e4gKZ mzxP0elDwU/OVIXYcyHjkrVCsUYfctodMyJ4iwvXF6bePVLoQ1v8xQ3433Bh VFDpecKKPjS/986qjrdc4FN7IfiIvw91DhItb95xock2v9F9WR8KP5Vro/8R u0Pp2GHePrSgYO4eUMQFX8tJWeY0FXU3P0lc2soFhzNaiktJKioInDrf2saF 0z7fiwkGFUVqnpVP+cmFlZUhKeUEFRm9Vs7T6eXCvdGu8z6/qajQq/67D5sL d67dLRlvp6JopV1PzAa4sFs3g9H4g4qu0eKPy3C5UCd2zCajhYrkjK/8Lhnn QoHUZj2bBvw+5v2RGj6F25s8k7urjoqonzSd7Wa5EC2h4rGqhoqKnFNUVP9y wWt/0iM6hYqeb/pnYmGBi/N/4XBhJRX9DzYHqKY= "]]}, Annotation[#, "Charting`Private`Tag$2768988#25"]& ], TagBox[ {RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1ns8VN3XAHC3yqMiuaQQoX7ILRVFtSRJbrkTkiR5KCUqoZQoSZIkd5GQ RDySSnbGMCoiuaQw5pjLmXEZIRTp3b3zz/l8P+fMOvvsvfZae53PKYdjQgIC AgcEBQT+Xr9uZZ5y2lAPb4O/TLUw/oDT5y+/TTbWQ4dSzxrt03/gHLLZrm9Q D97as5d/Ty9A+hNKqOruetg7G67SkbMAtfcNn0lb10NZIkVyndMCDFwtHV7k Wg/RtLSX7pILIHh63f9mjtSDcSRjeObzb1DzTPUhT9TDcr+ltncyfoO5xdKc 3vP1oPdI+425729IUP4hXXurHoRX+B7oWpiHsmUBdk/T6iFOfMFo8uM8fJod uJnzsB5kpglG9oN5kP3ULHTlZT0sZIfHE/vmIe9K1vheVj3sUW+/2Zg/B9XE npa2HRSofBQmnhf+C7otrny/tY8Cu+VVsvLdfsF0WZ2stQMFVnx0SJQ0/AWG EduPNB+ngOuiiSC1Hz+hRkp3+m0yBQruBBuXnv0JfhUPpMpKKOAu/FPts/5P eGm2RrmSpMBL6ssXibGzUFs4HpKS0gABkXSF1o5p6Fumk+6Q2wDOleUK5i+n Yf5MYN2KkgZQmwro5OVOw05gi95CDbBe2s6i6uQ01PV8y47lNYD0HdEu/aXT gERptHMmVMijFT2ytfkBr2Zm5R3MqDBkxF/rtvcHUAKy5Q+OUGHuj3xSIG8S /uMGBnpNU+FmbHj9o+5JKPA3en1UoBFEafG/ZyiTEOvX4x4k3Qj5nY7JQ5mT YOEjmXF1RyNQYmsPt9tOQtvBWLmyhEbodRmZbK2ZgIOz7/ZPTTaCsHfpTWfB CeizOCkjrN0ETXv3LJ3N/A6tNONjooZN8P4fnbPv479DnbnY8+W7m8Djklxt 2YXvkGtW5CTn3AQVApE2pa7fwceEcVf7YhMwJUNSzkt/B9LQeaVbaxO0BJ1f tOnOOPzYsFPi6UkayGuYtldo8WEXYUqLD6PBMjPDH/VL+XAt2yLK/yoNApvn dk7yxkBW2omvmk6Dn4qDZjWPx0Am2O7Vo1c0iGVVyNqZj4GBYGBbBpUGV+c0 0hrVxyDsW9rtOPlmEA+11nmtNQrzt6ckfN81w5brUqfzLYfhXvrf3zv4uM+x WHobF4R+Plkhv/49rBpP8E/r5IB8q+kk6L6HEFlulUYtB7bk9Xb5bn8P282a 4eNDDhzbvySzzOY9PNCpKbEL4UBzus9603PvIRieSW+T4sBto9VG/9LeQ/d0 UV+ECxsUIq8dffHvB3jmqKdrwGPCa0JnTjP5A6Q+UdkSfI8JBn+8qx3LWiDf nfpmejcBiqxwOeajVmiaexA6HTYILTFbPjZptoHf+agETZdv8LRd9+j17jYQ jG3YaGDcC0pJwz8fj7VDjgrtrDG9A8KsDkYvl/oEPtVJo31rOmB4hj7QpdcB MZb6NfYazaCobf8pwqoDvmdbtmbp0qCA9/q9eOJnON0zcmiwvhqEdg+2jd77 DDWh3HeOu6tBXLGIz2R2gsDi4cenDp6AGuvP9kJTneCpXDYxoKsCCf8+93ug 1g0rcqfuea+pQIek28UfH+/G+d8nfCa4Ck2bPGH6R/WAXN/mojG9emQX4hJh NNkDzhGfdne+bUCh+tQq2YYvYJHdajx7sBll/P/69MLynHtO3cktiF5Gvflp 3VeYzXBR27q7DcVkrjt2zOsbnHaYd2jw7UBzAZ2ZGuHfwCI9r4ee34E27l6y 4Pe6DyJFjntdVOtCeS35lXvM+6G9MfbRqHw32pe/7njFqgFoD0+bkb/Tg0qW uFe6utJhw/ZLlVsTetF5xcMqDE86PDCJ8VhI6UVaI85Le2wGwV8h98UDt29o 8+3Dv4VbB6HK9Q5zW1ofkpIYF6X+GgR1sbbzm5b2IxGUWa6axYDS1Yuujpwe QJ1TRL7ecgKm/givCLemo8Atr3v/sSJA4WLLkftUOnqy3+dB3TQB6oe9s6PO DKL93bvzjp8dgpkj0uuXfxxEP4bXrGCnDkFqTPG4KXsQpWRzaFnpQ0BWSEyv JAfR5gNVUY5ZQ1D3bekbBncQBVfa8N/mDYFXifSdiNFBNBp2+WNm6RAoS6e7 P5gaRKxF7AR7yhCo1PnUlgkxUJdSxT9vRofAp6Tq56AiAz133CecYsaECbmg plI7BoqzqolV2MeEt9HP52QcGMhzj4boo/1MGFSp17rkyEBCm5cur7ZlAjkt c9XKhYFsV7bJfnFjwiVd8yVfPRiIbHfRVDjJhMoqZl6THwOtsfWzL8B5XycU 8JoewUBRFrG5VWwmLFat+aP4kIE6vPw99bj4/ekKUqYFDKR21mp16TATvnpK GR17xEDv8yTvPhxnQpLDlYbiIgaSnsu+lvyLCcr1fe/UShmo+Gn1ydPiLDCx 39I+XsVA42ily2oZFtgdjA9pesFA7StJYy0DFnQKdsp/bWQgFY0Ps0XbWNDh fEaQ0cRAZ6HsuaoxCy4towpwaHi8J0J15U1YEP4DbMbfMZBvo4CqmCULRM3e qcy2MtDs+dVi5CEWKFNduX1dDLSu3/LLw1gW+J15pTHPZKB4inG5cxwLxvx/ 3/jFYqCJIq1rS27i908OM2bYDEQ5I74lMIkFSZEVF/gkji/acVs/kwVBesoH Okbw92w+uK/+GQsKrkKD3xQD6cQfrx74xoLU8ii3FiECpZ5yu5U0wIKaLafk S4QJ9Mdpv68pgwUlucL910QI1K60cWUhmwUfrSY9dy4mUPDzsZMnv7NAbP8n 55x/CFQ1eHb9/GI2mKnYuOutIJCRYUzKan02TL/QVUpVIFC3z2qD7C1sKK73 DNynSKCQxLIeZUM2jGhs7Z/BLmV9WaO+gw2y/rf0XZQItDZFO8/AnA0r2jyL RVUIJPS9+6mjOxuSqsyYZv8j0IcSDdqtaDbMs0ZeyG8ikH93nb9kLBvE5XeL VmKLCDmJ3bvOhrgyi6v79Am06+Alm6wENnhbif86tZlAz5Z8/lySyga15dVj 1VsJlOIbOUgrYUNHlZOsohGBPNe2/RT8zAYib3uAlSmBxFefef66iw2eEUJv PmHXS8kEn/3Chs5btWtc9xBowz8eJNnPBr/mtzNeZgTiT7K720g2JKds3HnU nEDR7xb+y15gg5yN/dpdlgTaQs075SrIAbFRKYPn2Jw6s42SIhzIdyn32GhF oH96Hp7eKcaBjPIN8/rWBJLJlb0TKM2B4sFVAX02BCoO1QnarsmBjwGJEbvs CeR+6pPGpBYHTLWVrhViLw8IZZXq4ufPuuctdyDQmcOvPJW3cqBFIVqsF9vY 0txqiQkHZN8Hlvo6Eeijkpd6lzMHUndIOx9wJdDlNYLMRDcOJCbxLxVjb5Yp yLXw4MC1Jfq1Am4EShPjydZ6c0D6v7TgMmyfH2cXPQzkgG9/TsvCQQL9eH+L OH2FA1nC3/xDPAnUt7TLf/4qBwaElKdrsCnWCvzr1zhQVXL8xW/spI8lczk3 OaC+5Xp3zCECaXbQpFvvcWBt0Zv4G14E8uoV3KdRwoFxXjx5wptAZmv2t1aV csBS/HPjI+yNHkmOJuUc8JPf1tuPPdu31tu1igMuUf35VkcIlDxofCG2Dvdh Gf1GRR8CNXHOPmF0cMDMsMYn6yjOP/U3m052cfD+2l7RjH33X5Ga2R4OiGsM GU5hew8nUyX6OfDVYtOYhS+Bfo2V9+/kcCAhy1iIiz2oO3P0HRfHN46VkThG INrpXTynEQ4IETNHtmCnTLRMB37ngF54T2Ektu40VyJjjgNT/5sZEvYjkKzh ptT1CxzorBWgqmLPnw9TqBAg4a2T3oAp9vufizWaF5HgLhJVfwn7mZFtuaMo CbNVffGZ2Pcj7m2li5GQmtGf+ALb97eq6bQECYsf7N03im25K7D5ykoSPId5 c4uPE2hTVKXtchkS6ijlw0rYCwK7PdTWkKDcI3XxAHaaiFeogxqOxysIePT3 /tFVWz9twP+/65pZg+3b0P7jgAYJhN8riQ/YetF7ztvokHA6TZg6ip3KmDds 0cPj91QVWcCeN6metdxMQoCcX9xyfwI1/1EPt9hGgvTrpkOa2DqHCSOaEQmy hYrlhtgpdZlze3eSEJ30z14z7F+KzrVUIOFLf6GSHbb3RfGLe0xJcGNJggd2 Ux9tJ8WMBJ0Jv4fHsLV2XFkw2UeCyx6K9Sns5EwjhPaTULvUxDgMe+bXZNQu axI2nJkPuozt6f7U5I0tjndHiryOTXnpJ7jDnoTp83mFidjqq5UprxxJqFSn lKRgJ4b1Rm93IUEr485UOvZUT/KeGjcSxF9sjMnBdje0FjH0IEHMq/RgPvbb 1EWNzw+RMHBE9+wj7A3TdbFbvEnwvtHeXYSd4Bxm/p8PCeG3n1x6jD1RtWmJ /jESDFT7TpRgu0kP054dx+vFuZj313UhBXG6AST4h5Yq/LXa50P7y06QUO10 daAYO15/lZj2KRxfdC2nEHv8Tvv7J8EkWAunGRRgu3y/cVMzlITip8taH2DX 2u2xfnwOr+fR+yVZ2CrP5pepXyCh9Jxj233sOInq1sIIEoQ2ehonY48FnUpc f4mEHa9axm5iO31UP1BwmQQBh7fcGOxX2oSE6lUSnKQdtC5iK9/KbM+LJSFn VXZ1KHbsiNMd5TgSCv1q4wKxeVbiDrnxeDwCH/KPYNs9oa1ce4sEy94hEVds hQCjFPlknH/fcvPA/289nXTKSMHzVRnWp49Nqj+VWX0fx1elHV6PXcVRui+b hfOpQtdEFHvNvl7Xezkk+ClFZc/ifLxcmCwnnYfn60PZHhLb+tiiDMlCvN4i qwMbsSupde5JxSRQ4+JGKrHl1MLkJZ7g/N1m+iIXm0nwspY9IyEo4bf6eWxL 04JDNyvxfLRubj+C/Szv0Fqx5zj/zyjWW2FHerfnLnmF8+NxyGVFbKmB5/lC VBJEIheH1eD9mbjs4sUXTTh/Nxgq/t3PYsZmbifekVATT4xEYguldSzv/kji 8532sl3YE/b8sMe9+PkhTdtqXE+CLlc7evWRUHDhnWUyNq/soo4UHefHNHnm JDZj6TJmJPPv/tQyX4fd3qh+wI6P54dnN38J1y/rKb7GogkS0uKuuDlhN6u8 EHk1hb8/eCtDHRtF7X2l+ouEFUZFYW24HpZt91k/I8KFgnndhpXYCU8z57LX cKG2JIkIxvVWtM+n20GRC/7DvTJG2DFimhVLlLkwrfTgvCB2xPEav+D1XGhp U6LdwvU6YF3XJzM9LvRJ2KVnHSaQxT3x4uG9XEhQP7r+Lu4H1Iau6AcWXMgK nbC1xTaZyDrkbMUFM4JbLIpteGCjFLLjQvf8jbFwz7/92OJSsgcXSmW/Njh7 EGjRxStO24O5QHEaesbE/arq+8hPFMIFTVeLf9Owff3ccs3PccEi83yQFTb1 gC7PMYILZzxTDpfj/hej0h8VFMsFucfe9CAXfL5o3vbkYToXyI7v/7Y4Eih8 d/Ci9jwcLya0/AHur0JS44LiFC7uN5a2QrY4n657FKVQuaDTGNyai/u3z3yT tTyNC7ODVlk7sCms7PvqLVwQqw/WCMX9PrrGSntPNxdM0C/hb/h8IOhV5BbG 44JISGrr9X0EEnjsVU6s5MG1xGwbLxNc/0Z6gnJleOAXIdv5DfB66NnreMrx oNCyIdENe1XNnqddijzwD1mfd2AXrrc09SfN6jw4bSe8c8sOXP9YE4Vlu3gw r1nt32NIoJfrrueEB/CgrIi5/5oOgS4dE/AyPMmD+OTCeJ427r+PLyhOneIB 1WhYyBa7Xe9E1smzPPA6eDRjpRbej2Cf4X2ZB5o7vh5P1sD9zUs+1TyVB78E ZO+eUMPnkYzyWyspPGgx4fTeXE2gF/MZ1ylUHoyXWsZ9lcP9wuvalTM0Hqxc eypMHfu66qGzHS08CIhwWUuRJVBWqdih5B4cr0bh6ogUgRrrjmmtHOWBW54d VVEc79ch+Q+ScsNQaBFcPyFIoDcb40Qlg4ZB+pHMsUAOAxl0rmpNPj0MVD/O 3gx8fn4WWXRHOmQYjGT7Y5vx+Tq/tWmNXNgwZEifU1XF5++4U4u0laKHYaBZ o6d9kIEc/ou2104dhsuxvTriXxmIY3QxY3/dMIw/HZKQbGEgScszWtHiI1By XmuRcRkD9Wm3f75QOwKzh6szVI7h9+WAGtNrFLwV9cxqZBnoULmBpOLCKFDp P1WvvB1El2PzrvSVjIH1QYmfFW6D6CmpmCluzYfLdQFm5X10FJcd6z1gy4dB hZM27V/oyNdhdH2ZPb4ffmOM30lHCrW1z2xc+VBaduSnZisdxd/2aErw4cP8 eNPmpDd05G+Q/l3sAh/U0rjWq3LoSCVG2mJJIR+UuTfS5bzoaGFb5PKeYvy8 vlLLMnc66h0d6ih8wgdq/470P850lOT63yHzCj6YKHkIM2zo6I+mQ0hsLR+8 o9RW391JR32fbucIf+bDFz+Ke5UCHdVcmzn6uYsPO8aO7kqWo6MU48MaD7/w QWtt2ZsgaTqyeqRTZTrAh5YL0bdVl9HRq7DWd1e4fFBgSkZHzg2gVO2tt+1H +CA9QDc7MDOAgoksp3V8PjgtDD5UnhxA6tYn6G+n+ODb+dYA8QaQiGBnQdIM HwTO1QcksAfQ4HPjAO9ffKiV2W7sRgyg2oCHunq/8XhithWrDAyg+0pLf/z5 g321vWK4dwD9H/9LJYY= "]]}, Annotation[#, "Charting`Private`Tag$2768988#26"]& ], TagBox[ {RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd13k8lN3bAHDEQ4SsZStK/RBSKYW6ECIqiRZbsiWRQkVFkq1S5JGyJVmS bBURcso2Etm3DG4aM/eMqbHFE+I9vfPPfL6feznbda5z3UouvtbuPFxcXPu5 ubj+/oft+f2ZnVcDBqKKqY6jy7DWlOG+8KYGwlb57/A3X4bd+cr33n+oAeem srubRpfgpLhL8dXGGjAP5I3jPFyCwMD07p2dNaBGf59Xa7kET4ao89ODNWBK Z0deFFmC98ayim/IGtDw/FZOdv2Bb3knTC5O18Dq9uvui0//wPzqR16aSzXA 90OLj3n+D+gOipbmSdTC49RFf4dVf6DiMt/BzH21IJM8LDxyehG+DRj5njGv hcRnkhszdRZh3jA0Yb1NLbz5LvrVevUi6IksDKWcqwXtYB+zLXULUJUz4Z+Q UAtCNQ8912svAHWVZpJ1ei2kSEJqvNgCLPqdr16dVwu2e+Le3+HMw16gC9xH tVB5t8aBkT8P1b0DaRGsWlD3NhT/oD4PSIBCuWJQB6Kmm8vk9v6Girn/5KyN 60DbWfVAwI7fUOOVJneKXQes/TaiAw/m4C3z/Hmn2Tr4Z1P2H6erc5DlqVvp ylUP+kUzsoLOcxDh0Wt3QbIerFD7TMe2OTBzEUu+rV8P025RSvK9s9B6KmJt YUw9fJQ9KMCvMgun/vtsPjNdD8LbIbDE5hdQzXykVmg0gMvbuszp4Rlooei5 C+g0QOXrJz1Hm2eg2lSwVNiwAQ7uCjjXWD4D6cYvbNbaNoD0W4O4Pw9nwMVg 5F+N4AagHlF1DTWZAVLHVvxkSwOcNJIdLi6ehl+b94oW+FCAsSd8h2HiFOwb NaLcDaRAtmjn/qbbUxCZZnbT8zYFVExNVTwvTYG0pA1nYxIFnA8QL0csp0Dq klVFdgUFjigGmlhITcEu7vOtyXUUCClKcWvgnYLAgSex0XKNYDy2Z3Rr4CQs xs6Iun1uhMb0w7UXvCfgUdLf32d4G5qdFBD7E3h+v1ott6kJVm5pXq3D/wPk WoymYWsTPFOLmLRns0E7o7/bbU8TCM0p7HvczgZ3c/6UwkNNsExbSLBKZUNj kssmoytNEDSt8LxpOxtidWV0z1Hw8wU8kR9dx0H+RqRr2bkvMJl7spPWxYTK Uc0FtfgvIMwIXHYMZMKuZed3xwqboYex84n7TzpYHvoYZlLeDKe6ixzK++jg mrL+iE5NM1Ry80bL1tIhTmeIIdvTDHF2l5pWPaED09deZvRPMwTMmwi8MKJD KmF74+KhFvhnf/iGzOQxUBi7tpaW3QIlXrHjtWM04K45aHSf3QISY0XTJrY0 aA7X/tqg1gr+Kd62E5MjUNC21TWqpxVcKXe3XftKwPq48d8vf7aBSvxSh2rV Nwi0OBUmLNEOxfxDoT5kP4zPDQ91a3WA1RmqxL1znaCgcbT9ukUHJJPx0Tu/ d0AWq7JJ5EEnSFJ0duqIfwYeQ6L1x6NOUNmhPqvW0ggiCi84NFoXtAldDL6b XQHllp1HeWa6IFrojABZ+R5izpV6PFPuAYOwSHcLxzRwlGwTeXm2B75/Uw1q FXsAswavaJ43eyH0TpS4gksOsvI/fl13uhdi//R8e1FUjAK215VI1/bB6l3v r0jFVKDk/1//fij675eyUssnNFxYd69d6RsIWFR92lJQh8JTlNzdnQYgJ8G9 LDe1CS14daWoXhsAlfZ9hj+VvqAthvxLHpVUCFiRQek3bEMZzc/f7DcdhLGw ua2dFu3owHOls6/XDEFbbOnyL2oHyuO3e3PixDCs+CR2j1zqQlcVTm8YcRgG 3mHqFUeBbqTOthXqPUSA8XOtffc5PWhH7Ok/K1oIUFlneH2beR+SEJ0QqJsn oGr1QGd0fR/iRSlFG1NHYKIkur/Y/Bvqmhl9riU8Cry16UPM3QPovHZl/0qL UfBW1eFvqhxAr8xdnlXPjoJDWuj9ujkqMu8xzDh7+Ttsf9wV9PHTIPo1Lrua nvgdit/uXa02N4hKjx1YkWBMA+1F12ER2hCKtiiPkD9AA0WZzc06jCHksF9V INucBg6u/z5xYg0hnh1Cwu8O4zgKDejInhhCh8VbpftO0sBb16NP9s8QItuO q8n70CBwkZ6aLjWMZA97HM16RAPerpZra0yG0U2ziPQSOg1CHybaDaQNow4n TwctJg2yxC+V+T0bRsqXLWTyx3H7XDc2C2QOo6YMsX8zJ2jQZdypr5E7jCQX 0iLj52lQF33ouPObYZRb8M7nosgYCLQtJXk1DKMJJH5cRmoMpDtW6I41D6M2 cVJPfdcY9G14byr+YxgpDR7sy4wYA78zG4+7yBLobo1ekW00tqnEbLQcgaZe qEfy3xsDlVK7sEJ5AtX4iWifjxuDKjO68+w6ArkJdMRuTxkDWYcs/aCNBMrd cerAp+IxWPSez7RQJ5Dm3bPvhgbG4No9TrfyXgIl+p68Hzc0BmouHZdV9xFo 2cbczWhkDJo3RKzUAAK1rd8inkMfA8UhQ+FthgS6VPrTx2cSPx/sEaNuQqAS 4vKmxX/oEELxS5m0JJCuTniCzHY6HFfIjiq1J1CPi8yuNG06yKau/nbHgUD+ Dwp7FXXocI2taO7oSKD8sT5ZFX069HGPBHOfJtC6BI2MXaZ04Mp+bQouBOKZ 7Ck4ZkeHtp3M63GeBPqSp0q5H0aHnL22mXcDCOTZU+0pFkGH7dZZQ0aXCcTL YyP4KIoOu/kX9Oax950KOZQaQwf9Ag9Hj6sEKubv7MxLpEP1kQbQvkagBLcb BCWPDqZnxnJybhLIYV3rb+5OOijy98gz7hBIRMavtLIbv392btXDuwT6JCF1 6TLOgwetYWnPPQJtXmlPkoN08JrgH4uOIRBnmt7TStLhQedSo2wsgcI+L71N W6LD01lladEEAgn2Zl7cK8gA6wexs6GJeH0CNC/sUWOAW0CEgl4agex821Wn 1RkQSNGLr8cW9goYy9/KgGprHZEjTwnkd7rCQXEnA6rmK+VPpxNI76CpBb8B A3IX/5fkn0Ggr+udVLptGbA9Imv3hWwC/Wq6P3rxFgOeyfgdf5VPIKpQt+fi bQbknPaeFi3A8WMpz4mKZMC+hntV/thxX/MWnt5jQGjRl87dhQRS66BItjxi gF+Emez7IgI59XMfUM1jgNPJhs3xbwhkLGveUpLPAGVrvsdM7C32cccMihgg vvblToO3BPqPus75RAkDEj7nL7Gw4wm9oIhqBkg+u1W7q5RADYzLr0Y6GGAq KqXzogzHg8qHbT7dDDDSU3g6if3vOd7y/3oZkKVVsVOvnEDO4/F1ooO4fUf9 uS/Y8z+LBvcyGMAu3Uj5/p5AW2eZoskLDEjNcShnVxJIWmdb4qYlBmyWqtyt VkWgxauB8q+5SAgUax33wG76/Y9qIx8J+d/SWIPYbn82Gs2KkiB9J+RwzQcC PeF1CrBWJqFZ1r7ZDRFoyXXNzvbNJGxOkXiUgO1W2/briCoJIcVXkmuxtcL2 Xz2kSUJuUpn9+o8EalxWuWa2m4S64JDKFmzN06O6FF0SFOXo3nPYCdUpCyZ7 Sbjwi22v+AmPL1gkeL8RCaGVR6d9sefmp2/usyQhQaNB8J8aHJ92BQYfDpMQ VnglXxW75r0Ht/5RElxay2IssR8E9oftOU7C83zXlXHYm2erI7Sd8f2bs2eF awkUYxto+taFBPFj6+K2YE+VbOPf7k6Cjbn0OTPsav+s6K1eJDiX/td/E/v4 5J17agEkJL5DFWPYVVb7LV9eIUGk9OyxP9gbihdXqQSRsD0oSF2yjkA/L/g+ 2BRCgt3I4WeAbfNV5UhWKJ6fAks9G+wKjVHRjbfx/MSqrPHEjmDbPFSMJkHF 8efD+9gsCxHr9Lsk8AqLb0vHtnpFEV93n4R5+yixYmx5L90EuXgSePr6E1vr /u6vaZvkBBIKPSb0hrBJlQIpmcck5Jz4soGNXcJY/1g6lQSPVIN3fPUEkj3Q f+LRUxLCORKuYtihOfFrJTNIeJapYC2PTeez7I/PJIEqc+32ZmxLd75ksRy8 3i9M5rZiv6mrtovLJeFwQmrBbuy1yoFyoq9w/xRScgywQ25vo94vIKEkwHH0 ADZtlJW6qpiEn1XLzoexDxplOd57Q4KA6NMNNtjFGY7rBEtJOH7V5n+nsKW5 1wxHl+H4mN3n64h9w7ktnb+ChOKbQfPO2KPojnNkFQlmi+s/u2Kbrd+vxIdI MDA7POCOXRiyOHL7E25vh+K2s9gSQ6XPeepIaLr9uumvH6wKDi5rIMHp35jU vxbUMz7p/RmPJ1jjoQd25DmhHUrNuP2wslw3bJ4nHcI9X0mYaj/0/czf8TUk kXfbSXgQI2HohD0/41wLXSSc/LSl5m//r2xUeTrTQ4Kf73uPv+ObOsoJfNmP 1ydiWPPv+C+EvjvmRCUha/Sj7N/5YRUGa0oM4+s2oWqA7TFovLJxhISlJAOn XdgjQqtoN2g4/pyV36ljO+h2Vm9jkGBtenj7Buw+z+QkOhPHQz/RIY3dVq9y xIqDzf586w9ef8sZjirfFG5Pxz2Og924oYy3YgbPT8NULYGNbppUbJzH8/HY J/kjtm7hqkd9iyRoK6fvLcJ+R+30vb9MgmyMxT9p2IV7XDbN8TJhsTtV4Aq2 mqcqVz4/E36GRxidwc5JnPjmLMgEVu7F5xbYadMhcU2iTKjS7+5SwI4pSFlI k2WCR3o4fznePwJUlx5rBSbEX9S8nIodLqj2ml+RCSW/6StDsa+fLfe4tIkJ yRorXxpjeyl1txtrYce+/lSL9zf9SGr+7+1MeMN16XwGtkuIa1ThTvy+mAN7 Q7BPDUzqr9VjwnOeD6d2Yps9EskdN2GC5GX7oCScX+pqu8OemTEhR9vj7EVs g6lUR1sLJlDTY0JMsXWObJFAVkxcDxaoTHz8e96ZhcTbM0Fas953DzZf8C2b PZeYMLPOYCyzGu+3SfZv5M8EAXUN+UvYbh4n002v4O8K5+ykvdh1R7ayjl1n whWDNM8unF/DNwzevBDBBMtIv1O/cf7lbdz9KjOJCWbqzamKOH+X6GdZqaUy 4a6iudloBX7fa9HZ4qdMUDGn6WViXzO8xNeWwYSYqGdLx7DrkukG1ZlM6LrR t7AB+7ZPQk9fAROezXqPyODzgUdiglukhglx+pSTY+/wfo6yf5FQxwSHY28f pmC7LDZYylGYYNprInkUu2Ys7bFKMxOsP1bPvsfnVVi5hcb+Hnz/csaO2yUE 4nZ6cTKQhed/jdzz6dcE4nrpVDQqzgK1l+vmLPF528DuvZAuxYKpCq1rtFd4 /bWOajqsZYFI4yO169hryvcXdCuwgK3VIpGTh88HisqrRhUWJH+SF5rKxfE+ NpVTuI8F9EWfHBd8nr9Xinp6zYsF+WT08Re4Pghx53LS8WGBR4htpTK28csg hRlfFhwXXbLKSMX7Qcs71ecyC8LrrESfpOD8CEeTnUNZ8Fzo97frSTjfOMkl miayYKZLpEH+Ea4vkovui9ewQF81KKcO1zdli8lRNXUsMJhb2LkFe9Ep8pYf hQVvbIS4/9ZDURsdL3c0s2DCb9tBO1wvpeYLOsb3ssDqpfGr75EEqq92Vxf/ wYLFovwP7bdwvvwu90Vs7ThImts3yeF67MOWaAGxC9gRRx554/pvV9ealviL 46CvF2Vb7ITz440XDyX9x2HqQKvvNK4Xn7c0yK4NHIfohp43V3E9Ge3Lp7E+ bBx6TAoDAk8RyPpt2FGNxHFQplTN2h0jEEM3ONm8ehwEJ194Z5kSSOygn3qY CBu07MlGyy0EevZJVEhXjA2KnwZ226jh83tPAXNSgg36tDSWnSqBDquQOWdk 2PDVYUjC43+4Hv/HSclQmQ0G1cE3/XF9zVtrLs2ly4bn4WHNXrg+n9VT4gpx Z8O6Qwv1XwRxvaXR1hlUhb/br4e8efd1GBU/BWWa0w/QP/dRiK47jByLdokp LP2Ai/VhF+oSh1BoRMYtat5PUDRNyP+3dRAVkAopIpYcWOtX+lSHZxBFp0U4 Dx3mQLiHhF3gEhW5Wf/YVHiUA80Jc5ll81QkX1VVfOgEB1LP5n3fNk1Fd2Pt G2JcOMD7WV5KikZFnruSJgWDOOCcLHUssZ6KNoRLmvHncEDxDl9reBQVLe2+ IdybywFtzWvhj29TUf+P7x05rzhAU5L8knuTiuJOvHU0fc2B/Cf8qyhXqWhZ zdo/oooDZuXSp6fOUhG1Pfbpik4OZFEm7HjNqKg8cs61s5sDVuY/t3AZU1GC 3mnVzD7cPzez2HmgIotszRKjIQ4Yr3ISHtehoorAls+3mBwo2aDArPgfFSVq 7Iw9yuaAPE34yKuNVHRpNNVGicOBXNbEgeT1VKRi6T38cYYDuy/2TvmvoSJe 7q6suDl8f+pylpMEFRGlel7O8xxYddaVdUCUiqq8Mrdq/cHXuaRqtwpR0eP1 Qr+WlzkQELl5qzQ/Ff0fgzzePQ== "]]}, Annotation[#, "Charting`Private`Tag$2768988#27"]& ], TagBox[ {RGBColor[0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1nk8lO3XAHCJFCFLhcgSNURRQlSHkiU8EYoeNNnTqiSVkEiPFiWpLFlS yJpSKrlKY8lSdoa5hzC7TPY13uv3zj/z+X7u5TrnWs59VD3PHvIRFBAQMFsi IPC//5/e+R2V5hR4KTzZdKFrEfrOCP3Wt6GAfWojq95tEQTazaTHnCnANZ2K 0x5dABWTcMPXZApsfkkX68lYANOMcrezJylQ3jS76Oa+AGSR2es6wRQQ5qa7 rVBZgIjThtm8CAoINqS+yWX9hS87S0b8EimgamYfqn/9L/Sl8ddszKDAilOp h2od/oLAMp1dg3kUiGm1FHZS/wtmLdk3yV8poJ/gs8LkxzxUBqSucx2igEyL iOUZ3Xl4wzl50mOSAp+37jesEZ+HLH/jT14CVbCrKGi4gTcH0b6dR8/IVkHz C9Pigtw5sPKUSrqxqwpUl05sL9s8Bz9do+UK71TB9jlfv337ZuFLl6P/m8Qq sLJJKyzaNAvFR9TKytKrYM+eYFmflbMQ74yOfHtbBcmLDz6ld8zAYYeZxC5a FbTEqG1fd2YGXKa/W4+PVcGAuJELTX8GaFanVy/VqYZ1zCO6N7KnobHGxGe5 YTWMlT01vRc3DRUWoqXiZtUQa7syufrSNKSZZzvJOVeDFiwsfLSaBk/TXw91 rlWDzJD818dDU8A2dJZ2aayG4W0qrgEmUzCxcbdkwekaKD9xI0d5ZAL29O+t iQ2pgcOLIhu+9kzAzVSrcP8bNUCib+6MqJ6ANbJO/A1Pa8DjtoGBa8oErA60 //jiYw0EXzVW9nabAIMlJ38mUWrA28kizNN6AkJ6nsTdWlcLU1omx6NzxmE+ blzS+3stDC+I5/FCxuDR0//9vsOfsksvrfVGQXAmb9U6jTrYkTTY8M15BNY1 7h2DrXXQHawS3WExAvoZ1HbvnXUwnek/NGk4Aj7WIsmFdnXgqcf3JiuMQO1T T429wXWw7PEZ19bePxBnLG98oqYOxslkksbpP6AYetPr/Yl6EBiO3VCnyodP /VvmtOLr4bt37JRi+TAYLJLfORY2gI5j7RH6CA9s7b5E7i9rAAc9su/6bh54 JSsfNKxsgJJq4f3nKnlw35DOUuhoAFeNh7LWD3nAOfuvfP/fBlCbKw1u2MGD lD7n0HN2jZD5ufbDsjAuKDGuyA2+aITI8BS962UcWFJ5YO/doUb44v7d4J0C Bxqi9H9Ua/2EJ7PXs7kRTCho2uoV0/ETXE0r/GnmDFC+z5vJHW4CUV7zhHbs LwixcY0Ul2mGisDWjV1rfwFvqpfertsCyxXTx4jNPaCk49B81aYFVrvsmtFL 7oYs7qc6iXut0HGsz3jiWysImvX9/P2oFW5Kv2qjPmsFCaVs/uBgG6iwl128 wKqDMttWB8HxNuC29JIlAurgzolS33T1DmA/+HyREfsF3GWbJHL9OuDu18El Ons+w6Rp3qB/eCdEZAfbJgS8AvsLh68aj3VCaYRfief+VAjaRnm75lsXRDyL Fi8TiUVJ/7/+VAhoTCN+8XJRbyHldrNqN/QlqKiMKr9BUcmqPj4ePZB2/h7l fDdCcwFtyZpXeoCt2XRJOfQL2mwmsuD7iQZlnGPVtnurUUZDZsk+CwJKXwiX xF2rRZaZqn6v19Jh2r2iUrmnHr0SOVpy5EgvyDyK73lp1IQuKR1T++XWCy4h nYYte5uQ9pCzWKddHzwxUnz37GAL2h537O/Sxj7YnSPgUEdpRTKSf5ZTZvvg ToFb/3KbNiSEkos2pPwCW697dx347ahtvD9TV7wfqh5ruNuMdaCT+p+oK2z6 gZyWLXvzeifKs/ZMr5jshzaJDwfju7uQdYdZht/FAeDPqw0EllHRBE9hFTNx AAZ1h1hKY1RU6mi5NMF8EFwe3stynelG4VbRaW+Zg6DIGejZ9L0HtXj4u+ly BiF/6d/b0g09SP2ijXw+bxDUj4kbzf3oQXUZUg+f/xmEnJUD0dVtPUh2LvVm /Cz2gIDw/r4elFPw7vQ5CQZEjdtM/JrsQX+Q9GH51Qww9grOMVjoQU3SbBNt Awb4G18qfaZGQ6rEga7n0QygsLdWmwTRUGylSZHzLQb0jcjlEME0NJqtfVPk NgPYWQUHrl2mocrzEvon7zMgfSentTSMhryXt8RtS2aAkaGw8Mr/aChnu6vl 12IG3LIhHO1SaWhLrN87eg8D5LZ6bdpEoaHEsy5379MZIOt5XD6ymoYWnay9 9/5igNMeMVp3LQ01KW+WfslkwJcch/boRhoKLB0+fXoEjyeo9eJrBw297buo Mb+MCS4XrDWa2TRkbBiVIL+NCVkflCcOiRGow1PeIFWfCQKXVXfsFyfQhXuF nSqGTPBX+Cd5hySB8hldCqRdTJjnZvaskiHQ+gSdDAMLJqxEdw1eKxBIcKSj wPEoE+7kBmU/1SRQ/SvNmruRTDD/bP9XzIJA/h0V/lLRTIjKlX//zZJAQoJO oo9imGD1OiHzsjWB9riG2aXcYUKQsciqPlsCFYu0tr5KxPGEp//z2JFACd6h fTWvmPAlcntOEZlAbut/zixpZYLuoKVe7GUCScifL/3UzgQVidN9pKsE+iqz OvBiF36fpvK1qlACbVzxL5tNMEE9nhoxHU4g/hiz4yebCUNkv8/7bxIo8vvC m9QFJoT6gf+1eAKJdj4/t1uUhb/fjB1PnhAoJ2jLmZ1aLCA90vfxziXQ0bPN mmPaLBiqVn349RWBxAOCGPlbWZD1rfSTYj6Bzh/76KaygwVN9v4LDYUEMjlg YSNiygKhiOXOq98S6IeyB6ndmQUqW5TS9lcQaKLubv+56yxQzJB129RMIJpY u//8DRZ8eWxXr9dCoEpbRX7MTRbcP7c50riVQPd/vJp7dpsFOX7itRbtBNJq qZFtfMSCO/rs8gNUAnlQl1hqvmKBXHfwPYFfBDJXsG58m4991CSFj7353/uO pkU4vrwLk7R+Ak3T1pOPvGVBWc+ZByWDBIrvM7kcXcEC8w/NJ6zZBKpmXcz7 1cKClMBhhgYf7wfSZ73T7SxoyN1Kn8F+eEKobLoTxzP7YFPDHwKRefEUSQLH +66v8OQogWaHi4jdLBbs0ip6nDhBoK2THMmkORbYhnClUuYI9ETII+iQOhvO PVXO8FtGRwtea3c0b2TDrqv1ektF6Mj7W9PEQU02hMSPaKdi60buu2S3hQ00 6zdeDcvpqHaRdMXKiA1BQobda8XoaGp2LHyPLRvuXNBX95KkI7ejBaaf/2GD drjcVQZ25QffJbsc2FCbHm3qu4qO7oVQI3ceZoObxNxaLyk62jhZEa1PZoM3 w0bggAwdHR7577ZWEBsUDSd/N6yho3L7fba5wWxwktS1MVhLR2rF8ytJl9lg b8RUeIY9fObsPY0wNvgnfpE+IUdH0UNOD1RusWHabSpgSJ6OuDYSh9Ji2WDr QPe0VqAj+7wa6fV3sWX0fmZhKwYYJ6yLx/lXSS47so6O3rKUH69JYUNWqPdY jiIdKVhSjzx6hvPf7v5oBjviZbycbAYbXB69KrBSoiNbH+EkqZdsmG/Zsbcf e7Cfm7KymA1D7NwlS5Xp6MDeLPfbJWwodh10s8QuznBfL1qK56/WWTcWO5Tc lCbyEedDbzAVU6EjGXpppiCFDXICDyTmsO+tvHbtfTUbKCMevwxV6UjUxNzl 1Hc8X8tOcc5jCz5pEe/4geer6lzSAHZY9VN2bDO+v2Bhn7waHc2Ok79BGxue GExvsMMedeCH5FLZYK7heqsI+0zEO0cPGn6+xFmcjs0tvLZFphfHp8P+LrqB jn6JrRwMHcT5oymuB7abcWuFHguvN3u5/U3sLv+kp0wOG0gbun7nYTdVkQ7a 8/HzwZ1tI9i243xN4VE2nLqbtF5aHe8ftfdCH8fZIPDGLFMX29whrPfMFBva Vq0h22Gj8P0fN8zi/ArJLv7YxoUrH3XN4/gCA25fx35Haz17dxHvT8XQmSfY 28SSD+wV5MC8Az2zELtwp6fGlBAHyA+oMZXYWv6aAvkiHIgwepfThv0y8U83 WZQDd26UCzOw1arel64Wx8/f0U8bw04dC7tfJ8mBfDvfiwIadCSnZnEyXJoD 4ylPb4lhJ9iLW+iv5kCW7hqqLPaq8DYVzloOkFI3+Cli3ylInkvFfdV95xXb 1bCX0zw7DilxICpPYvdG7ChRrdciKvj6zyvRJGyBnSO3y9U4INCcsFIT+6pf mW+gBh4v9XnLJuzJR+FmG0kceLJ0uFMd+zzFQrFHiwPTBR8VVbCHR8Wn4nQ4 sItknyGPHaDa3myuy4Fi2riPFDbzYEr+zDYOUGT5ASLYnmFeMYU7OCA3E1U8 h/Ol52t5ehnh+x/MGwxju/aM7JIz4UBXVfICHbttxYe1jbs5YOqWI/ID294o YvS6KQcU5/wOfcJu8LVsNNjHAW2SSu9LbKtHEjm8/Xh+rNYU3semfGuPTLfC +WfEoRBs09EUd2cbDpw60ixzDNvw4GYZZI/Hr/8avRG75Nro7wuOHHDaNvtc BHtL/oda0mG8HhYSy1h4P21cYRUW/y9eT/+exHTsTENJV0sPDuiuV6q+gr3e t2P7PJkDQi02xo7Ya755c3x88XxvjBhdwPtb+Np1p52BHEjZUZBrhv12ZGgG XcDxsoRipLC9fV3SLIJxPkW7B3vxeaIc3Mp1vIrn95S2cgh2lBoRfiYaPz80 nJKIz6f+YyuNiRi8fqam4UexB8Xe1l2Nxfkoqg8oYptPxK7+L44D6qeu6Kbi 8y5Ua5T3/Cmez/W7WbfX4/F3ZdlrpXCArbDYsw/b+7XkZPEzDgQZLDrO4npy xSxQuCmDA8flJ0pTsClJTNOK5zifnrs/PLFvnE7o6CrgwKBV/pgqrk+CMn+W SFTi9X5FbHbF9a8k5t/sBAoH7Oc3n57B9dFzvtp2XQ2eT5sF/SfYlYzUx6QG DrjAX5dmXE8jy2x09nVwQF9SaFoP198lHtkuIVw83g12Rb40rl8t0gsLQ3j9 hC9F7MAmW4Y9j+ZzwKi5rL4c1/Mvus7D8eMcCJFSFqjB9T5i6dKoggW8HpPD jO8SeL/nehT1S3Mh67NC83+idFQ91HkmbTUX7HcdsOSvwOdH12GLmxwX+iYT Vjhiry3bV9CuxAW5oqALq/H3Z0sNKa+WxIWE52oD0cK4HjFGXxbu4UIKSch/ tQA+z5qnfE+acUHdv7782CKB2KcYGiRz7J7I4zkLuN8a78zKsOaCd8abZP2/ BIpd+jkzwYkLNIciqtEsgT6oxjy7EoBdYlH8Z4xAYT4CHoanuTCop6iigm2e e1lp/CwXulYlDdjh722T7qmU0xe5QFa87JuFv8dscEgiR3AhJ07Dc/dvAq3x WJdokYjfR2d4KTNxv5JUdFe6kguhHj9VXnQQ6P18UkwlBfvO191ZuL+Y97h5 /XwNF/yXFVEy2ggUs8H9YksDF0ISbKWe4P4kJV/UPb6TC1YlZnmBPwhUVeGj Lf2bC0P7TSWpVQSSG1hXLyXHg679k3OX3xDIfb9I1VcFHjQcT/1kUUKgzOzR ikAlHqhoP+ZJvSaQ9qnvJc1qPBC4ZJn6HPdPZhPBSQ90eJATOGn7FvdfASIt J6T2YVOUlt9OI9DnzbeWS53hQfr2Q7slYwlk0La2Mf4cD0KiR/0rb+F+MjT7 gewFHvh7T+8OisHjNVYryIXwoG9j/WBrFIFunRXWUY7kgdPjF5o3cH946E2k g04iDxJSPxdnBBGIZXwtyboCx+9wq7TXnUBSB85rR0oMQZeSyCk/bQKlf5UU M5Yagj/t25oytQiku7OAMyIzBHfKV+TTSAT6h8R+eVx+CFQEvettNPD6LvNQ NVMfguUG5wvWrsf98DfrNQLGQ+Bi9XuDL+63J01UBcJ88P10yl/6Hxqi6TS1 Xi4fgvTBShPrIhoqfgbqgx6/QRGVJver05B7kYGU0sJv+EISf3/ivx4UEZ1x nfZqGEib6/lL6rtRAVspWcKWD96/r8jZCnejW6nRZPo/fFhVrNZUsKQbeR/6 rVHowIf7R3VWSixQkWJ5ebHdET6spHyXqpukoti4f6vvePLhVmaRsy6bivwN no6IXuZD25bQttI6KlKLkrUSeYmvF/FtX9yjogWjUPHOHD5o2x7/3BlLRdTf Ay0v8/iQUCBSujyGiu4feeNu8ZoPtCtWxr7hVLSodehCdDkeP2/4meQ5KqI1 xz1b2sqHCKmdA+scqKjs5pRXazsfzGm9TQZ2VJRgckzzeRcfBPJFLe2tqcjm xZa3e+l86Ore3RhmRkUfQxq/X+fg+Gwc9tXpUVGizo44hyGcb+zBS1QdKgrs T3FS5fPBRf6CPkuTiki2p3q/jPPhbfzlAwuqVCS0pC3r/hQfcpZFPRdZT0V9 pSYB5Fk+POkVvCmpQEXlAc+36v7F18tWjK5eQ0WPlcUmFhfx/CrmsxSkqej/ AA26nOQ= "]]}, Annotation[#, "Charting`Private`Tag$2768988#28"]& ], TagBox[ {RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwt13k8VN3/AHBrpLKlbAmhUJYnFcnTx1Ypkj1lSbbsEYWyRzy0IIRQaSHZ 6os8olPSWCKyDHOp5DFm7qBBKEv8Tq/Xb/6Z1/t17z338/mccz5zRt71vJUH FwcHhwEnB8ef76KleFGP2fdQej3tTMfAKih/dL/GXHwPnlmENqfzKkge16JO 8lBAzeEsmb20AgLtnNt/CFKgdWgld6FyBRaPdV38JUEBVcmKSMugFRhvLXj/ exsFFOtZPx11VmDIxH8TtxoFptfZ7hPiWYGO5gMe/NoUMFeabTvQ8xteHxao 3mBAAefR9cUKj3/DPeMiGwlbCkRMXZLRP/EbXPW/3VaLpMCOvad5pKqXwRpV /Lc7kQLpLofVD6Utg/HBKC2dNAqEGr6wMA9YBiU96R7DxxRw3H6Oq1x1GZja tqL2HRQQ+e26IPpsCWg1Cq5O/RTwspoOir++BG17Z567fqOAzKaQpwEBS/BM 65al/xwFcg7ePp2utQQBGq2pcTLNoNn6pOhK4yLMbf9bqMy/Gex/6FIs2Qtw cMSwOTmsGZJMrbf87lmAa/km0V5Xm2FuEh35XrsAm8Vs2Ao5zdAlHFGSfXUB NgVZ1D2uawaOv0INc7QWYB+nb2duUzM0TE/a90gvQNhg9q0k6Ra4kyL30svu FyzfmhVyb22B3rMjF2fH58HYdLHZoLcFHt5wEoylzsP1NRwxsl9b4PaZT+vV 386DTOS6KWK2BUICr21lZM3DQZ9tXZZyrXDmZF1ts9E8RBtbpEJoK3yuXV34 WjgHuTl/Pq3w0/lbF/e5OeBaeCYsrdQGOaXrh1jBsyDdYfgDNNqA95TX0JTr LOx5QOtz398GWyPrLNZazYLHUb675cfbwNAvmxaoOQstOa5KhpfaQG/cPHLT 9x9wS1dS17u5DeTumh9N9fsBWyKuub30/gBXnWeMj12cgVcj6kuq6R/AjpdI eaU3A/tWXWqsy9tB1/KywvmKKTA7/ibuUG07PBKeTD5WOAVud2VPaDe2g55d bJlm5hSkan9hSFHbwdckfXjLlSkgzztIjvxuhy02HprBR6Ygb9g2IvB4B2j/ dNbe2MQGGfplidHHHfDpuVVFIes7cDYeM7wx0QEt1afNvut9h/b4PR8pqp0g ePbBsKzbOOgKfeBK29sJ98LePIs1HYfinLPaDvqdMP/m3qk5rXG4Wn7zPtu2 E2Lyq1ZFePH9A8wLErGdcF9fnC1TzILyLg23RCq+3vAqz+wHCcU788V9+jsh sZ673W+aBEMyrnKNYRd8+/umt3UqE2RTxxeefu8ChZZ2cbUlOoSZnorbsPET 2Kf2s1yi6TD+8+uXPs1ueMLeny/7v28go2b56YppN6QxS/8S9/gGj1iv2gRv 9sDBh/uteb0HgctguHMyswdSXTbdlDAYBEGZIvboaC+88LTp3lDQC7VmPZZc s73QNaixpuZ0L1z3rva8r0iFmP0ffLmlP4KTWJfg03NUMAxXDHFe1w7z+s9G vaL7gRnHH38m6B1YBNtd0f3RDwG6t+l8R99AyO6mqs3vBuB+/9aMO3rV/7++ aDC58Vf9xZLH8LW8KeWTPAExbfTWVkYqxN+V9/BwHgS35i0HHfsK0ZJP712V y4MwvKhss0b3MdppwLfi+WoIUi0UgoVXa9CD9sIXRoc/g97Pp5ekWl+hI4Xy 556LfwF9pk6veOxbVMJ3+sXJk1/B3ydh6z8BFBQqc2bbN8evMDAS/ME1noJ2 Tdiu6z8+DC0rnQeLJtuQ1q0zv7k7hkHTakZNT/Qj2ig0xd+0OAzFf6VNl2p1 Ih50t0Ih7xvEO6j/EnH5hHpnRwo1N4zAF2lJg9nwbuS75xVtrekIKKrvNN0p 1oOeHXW9/3p+BIakzxgMp/Sio1SDB+cu/gf7SufLq6P60Ny4lPBY1n/AkRT4 aOJ1H6q2PsKdYTwKysKQ2v+ViqJNEu5VjY1C6ZoUq4+UftTt7OWoSY7CQOLd EuG2fqR40VSydHwU5LgFGBYd/ajtgcjth1OjYOYzLfihpx+JLeVfS18chYhP gcpPhvtRcVmNf6AgHSw0nk3+XOhHU0jUTnITHdxl9Jb/4hpAXaLMA7v20UFi jbLIhp0DSP7zsYGHCXSoEhdNFE8cQMmNBypsk+iQMSLuJpo8gGaKdl3jS6HD 6BvzMYEbA6jxguAe31Q68LjEj86mDyB3/u5bu+/Swcw7sLO0YAAVa5068raS DrU7gmil1QNIPflczZdBOmyx2xU7/W0A6WrHZ0juHoOhEU2nEi0aorpK7svf gz3/YYbcS0PBN8v75bTHQDPALHeHDg2V0geklPXG4P6G23L5ejS0NUPtwb7D Y5BUYbQp6BANcU1Ty6xPj0GMP+fPejsa+lCi0nwjbgz0axUsGaE05EV97SWS MAaznlGjZDgN8XDZCGQmjkF7mlgW6woNHTwVdTzvOr7/xgXbsWgaquTr6SnJ GgOXNZ4nmhNpKMM9Yri5ZAxqW5SuatyhIcetnQucPWPAc+mv8LtVNCQoeaH6 Vd8YKEoEVyfV0NDbjZuCLg6MgV/ikdbgWhravtaByfyMx9e8FG5UT0PsH2PU TuYYTKlG8Le+o6G41pX/5a+MQW8PxyH/bhoS6H8Y+LcAA+buJeR9pNFQcYh6 wH5VBkzweZjKfKeh0+c/qfzYxQAeaT9bCpuGNviE0Es1GJD3kv+Q/zQNXThT 5yi3lwE6/1VRq2Zp6MCxw6Z8+gzYM1fWqbpEQx9lnZX7bBkgli536QUfgeba bowExjJAMyH0spYsgYbW9XktX2XAaKfhyTg5AjWabWEnXmMAR6CoT6c8gVI/ liwVpDDAvmOdlrsigVS7m8U6MnE8Ty87hKkQyJnGeUSlhAFhhv7mploEojAu PvvWjeN3PDGff4hApcoNf/n34fd9Pra76jCBbnvz1P7qZ0DLpoDyliMEchlP bxL6zIDet55eE0cJtPi94vPfDAbED9eMbzUnkMY8KZS7xIDhnUIhmnYEyuZx DrFSZMLw8agnfB4EWnET3/tpOxMsnAIVRrDd33XNnVBhQsYphaU6TwJpxhmF Hldnwnou+qtzXgRqWVW+bKLDhPaOqOQyXwL9XPwRfdCMCaO/x7JZQQRyPF2m 32DOhDfJGSMlF3A9/vXk1LNkwsCSfYp3MIFuhtHi9tsxQXhGe+lbCIG2z79O 2OPCBK+Utw4olEB20/+kqIYwgWf5b4ddkQSqtzAye3qJCfE8O2q6sbdVLq9X DmeCo9GZkNAoAn0POH9TKQrHG90sXR9NoIQJmzS5JCbk+byU2R1HoCqG7J3N efj6tlc7Pl0jkNQR2snMAiZk56RQnRIJFPMkXULsAROGWigTTGwzD95ckSe4 PtYxFotJBBodYeWtr2RCl5TQ8toUAm38Ul3I1cSEyhO10p9v4nzWR0a+pOB4 5riET98ikMABY3u/ViZwfDmu3IfNld29gfqRCWLbt1PepxJoxpId9pTGBBup Ryg1nUABMTXWzkP4ee/qoRVsVnmk+savuB5Jh+V8bxPo27r1oxGjTHiko7Tl YAaBut4rn7BgM0HHLpTdkYnjnWWr8M4wQVF251G1LDw/217y1M3+qXfvh2Rs FH2oTmERz6+90XH9OwQq3++q9JOHhOHwDUczs/F69FLhKOUjgf/13Awd+0nW FOEiQEKElkHLnhwC5f+ISm0TIsE4be98O/b1srtL+VIk1Nr8PMfIJRD/kCvV SoaEJkeniyp3CRQvoPqcT46EoYrkSm/sK+dqPYOUSNAv8Hk+ij2fGW2wXRmP n1EVKptHoAtNh7cMqpJQnzLrZ4/tI9/3yViThK7yq/Qm7LETeaULu0lwlPb2 /oXtGuWWWL6XhAyBIBnVfAKdGpzWkzhAwlTgRvEk7N61/4p3/E3CfWEjpyps C52YmVh9/Hw86v2CbZIpWDx+iASLumZ79QICNb3ri7tvgvO/xfCwxtafyXOy NSXx/ot4fAm7Xs5dR8Ac50PtFM/G1j6xcyOyIGHPjZ0NL7FfRM5MBluT8Gty ILMPW7303xZlO1xfY/nCaezta02i0h1IyLYvslO8R6BCbaFTR5xx/ThDV3Wx t3pStZZdSKgM5/18Ajs3I1/wuRsJSWfvsl2xN79zJz08STDRidUOwU6f3tkk 5U3CeofVqqvYgnI/Cjp9SZDjdfZKw042rwuPDyBBzIJumY/NGxlrsz8I11fr c1ARdtX0xAIKxhb1NqnAdve0v3f4Es4v83NqNbbY4DvjjjCcPzvEtA676YQG y/oKCXq63mEN2CFNubeISDw/IbPiCFtx/5q9Z2NI8LpmofrHvWVBBCMO11vv ZcWf++O3fY4OSCCBecy1+M94e+6YKM0lksBxPEWsBnt0XVXblWQSYpp8Z//E kxEjG8h1gwRFqb9NirGN55I3/XML1yNfR/ge9qz3fJ1QOgnuCXfMMrAffTnr kpWB1xc7/Xcito11B6/MHRJGv7opXMbmadF59jCHhC1GRq99/uSv98hCNY+E 3nHvj6f+5P9caL6yANcvQ9jmCHa4QRBv1wMSCkUrddX/5J87pv/6IZ5vizdv ZP7kL2Q1ZvyEhBBH3eI1f/KPb0j5UEyCy6nNa77j+b7qn0EdKCNBma9PqRZ7 98jqlTOVJFwf38HMxR6x85Ufe0FC+44G+QhsQ31Dvx8vSajivLm0H3umqkzk ch3OR2h/3mbsQhXJlxwNuD42vNXTeP1ybZziFGzE++f01xMPsV8kOhRlNOH5 bHHoDsd2XaaYSTfj8VupHebYjfT8O8rtePy+R5qzeP/E1ZqqGVHx/K0tfLYL e7fay+7WARJ0ysSW5/H+HHmwLcxiEMe7Sa8ZYRumLDQ6DeP6J8Z9NMPmdC6y D2Ph/c5JPLHB+7+yW3RlZQLXL/5rtyi2y5GohwlsXB/+Y1c6cb94o2n7PX2W hDchiobG2DHc3PFlKyT+30Ipk8b9huOpc8WIKAvylnbtjMP9jDLRH3BvEwvE nlsUyGFf17RUd5RggVm3unkD7n/itUZlfTIs8Huh4DGN+6N6s/KzFmUW1Eeq hhrj/ulIn3lSfpAF9hulPLJwf96m4ufpa8CC7B31jRLYTD+6krIxC/aMaJzN uUGg4Nn+Rw+OssBl8MbZzOt4/3A3FGbYsCBDVjk0LJlA/8onFlz2weOxb6uN JxAoyoPDWdufBXIa+jWW2MZPw2Vmz7MgLKXmak087s+afnn+F1nwKGtp8vJV /D6wzHWJwfmdqlnDjsH72Vk663AWC3r1+KPjr+D+l1txQ7SRBToio3s9zxPo 5XJuYmMTC2bTOO7lBBBo2fla7IVmFggv7nf/4E+gRAWni93tLEgyG+FW9SNQ XqmAU3o/C0I+SBX04N/n9689dolOsqB2wC1g4CyBJP6T/iAiMQ5JPm2LT60I 5HSI7/1bqXFoSo2zfGqJ11fRzOsgmXFgXt+yrsiCQLv8Wl982jYOcr+ai/Lx +cFg7lJumto43H9ZdT30GO7PfN3eIkbj4CJsu/uLAYEadibxiwSMw9A7aesw DQLt6xXvSA/E9w9yK51Sx+sjoihNLHgcQjgWMnTU8Ps6KFISYeNgMl9y4ocq gZLO86rJxo1DttGNPfbbCWT1vzhLtSwc7/cNX79uIRBDNzL36OtxUBb1a2Xw E0jk2IVdcYIToEONOj4yREP33wqt0xWZgC517d1mgzSkub+MnN44AU1yC7FV +Dxorsx8clYSX7e0cIuh0lDyGmd5A8UJSDpvvJu3C59v3x3dzKE7AcLrG5Tf NdLQ/AF5jiiPCdA7L1khUkRDQ2pdPeH1E2D8/nsaly8N3RsXieRGE+CXqayj 6k1Drk+tt994OwEh+o3XLM7REKnYH3afMgG9fXdkctzweNJfZJq7JmD9YYe9 Uo40JCIwcU6MPgEZ7v+oDJnR0OExvuXyDZPQezCM20UNn6cLQHHUeRL4/7E1 DGANIKeKfSIyK5Ng8caIXDo5gGISHsQOlXyHpHVqQ/8W9qMypsxdQTM28FO7 Mn6NUlFSfoLLF3M2DL/lyoz4RkXuVpNK5ZZsaLEaFFz9TEVb6usrj59kw658 +vlVKhUl33KgXHfF10/LsiZbqMhrX860QDgb9IXZvbGlVLQtXsyE7wkbsqND 1a9doKIVnYgN/cVsGPitcpsWQEW0yf+6nzxjQxL9n5CdvlSUevJ/Toefs0GY t7yszY2KVlWtghPq2cAjy788b0NFQ59uFXD3sGEitmMLnzYV1V776dbTxwbH 4iU7Qy0qyjhwRuXhAI7/LAhFaFCR6WP1KsMvbOhVOrPI2kFFdWEdrbEkG5o0 zjbUSFBRltreW5YTbBgqyWfRxagoaCTPRp7NBmXJ/KyNIlSkbOb39c0sG0bV dH191lIRD2fvo9SfbNhzkivjNi8VDVcf8HFZZENp+MiBV5xUVO/zUEPzNxv8 Stiu3373oTuy6+ZWV3E+kwfXrlnsQ/8HU2u5SA== "]]}, Annotation[#, "Charting`Private`Tag$2768988#29"]& ], TagBox[ {RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwt13k8VN/7AHBbkSyRikqh9FURyd7yyBJFRWmTaEGlIqJUKlkLRVLIEupT ZE0qIUeIsYUZcxEKmeXODGPNzu/0ev3mn3m9X697z33Oc57znHuVz3occhES EBAwFRQQ+Pef3uZiSiuqhpKpjUc9WfOgJ3ip8UVlNcg+3BZH3TUPd0uuhvo2 VsOSyNSkzJ45qLpxHY7+rAZuzbaeg3FzILXNb3wboxreyJTKDx2fg2MD93Nl BqvBU6vxDWPtHKRkhJ7nT1XDk9BCDzvuLLCdH61tWECBc716Ev8rmgXfjrjI B6soEOaWu8vRaRbKnidbuG6gwOeFnRlcnVkQO/R63nQrBcS/DNhISsxCPCXX Y34PBSDT8odZ6QwUfaw6eN2LAlHTOZO/tsyAkGe9qN0dCiRkac+LSs7APnUq 2vqAAuaf1rd0caehI61Lsz+JAqkfz1Q6Zk7DTOSotHMNBbgHv+qma02DmdVU 9e4WChQsvkWsXjoNEQsF/Nf+xvHUbts5OTYFincWD/4cpYBBuIkSvWQKdrmp NNkq1cCGPYe3pR2YgntmNlFwowZIvf27q+9Nwov4f78a4CwTa5vVnQShycwl q1Rr4TqfXHxUfAJWNZiMgGYtdDS3eP8aGwed1Ha6s2EtfNdadzS0Zxxc9oom 5OyvBauL8ssMvowDJf6sqsn1WkgMGf26wG0cIo0UjC5W14Ir9FN7m/7Car+Q c58v1oFC34rgvrwxKO7dMr0pug5i/5PoOXV1DPTmT386nFMP5zSMP6zIHAHr /WUB5oX1kK5In92dOALnEtYe1C+vh8ATR47eejQCUfq/WCuJeihTbf8id3UE SI+TCr2z9eDTylTp1x2BxO4jflf3NwBftTJHrnIYFBm35Pv+awCPIe3dSfuG QbB8n8kjXgM8tlPcGUMOQX2Qzo+qTY1QLDa6esJuEIyk64Se6DbC+5D8sgGL QUiPP6N/0rgRSmXt5AeNBiEw53EK/0gjPAotSJFVxte3sb3k7zfCpwT/xHcd fMhp0jwXSjRCrgxHJVaOD+mbk1a4tTaC8gTvV4gsH0zIgLyFJk3gtCBCpvhx P6yN4k5mDDTBUkr1tefFHPC1OhEgubQZiBamyZgOB7jjv3/RtahAf3yISF3K BEUN2+bbVlTo2bIzywAx4DWnuFbqMQ1sWRqDHt96QGh3d2P/MxpY76vL5Gb2 gJTiW35fXwuIhGTLB2l1QqE1zVZotAVUaDe2KrA7IOLiR9eU9QSsHwrUfqlD wCm5JqmM8wSMtk81nlKgw1/jzL4L91pBbHi23ux2E9hcO3rbaKQVkus4go+e NoC3dmXB8oo2EIhaL/3kXvX/11c7xId7qsnzvsHvnMrwZuWfULYy6TRUlEBQ grKLi2MH1J9OXK5imQXTbi0JG291gIB++q2gzxmwebfonGtxJwikkElPntuj 1Pq0fNM9XRCuIkrs1n2OLNKUz79f8QtSIFtKJP4deidqn3/s2G8Y0DZZ2979 Gd1QdFLpcfgN/vcC28qlC5E678ji1v3d0Jborpn5vQxti3SaFW7ohinLnTeH /1eJlkoPilVOdUN68/WVz5y+IxGUkLsusQei2qSFerbVoJbR3jQtyV4g+fbv h5/VoUs6xe2LrHphouGh98c/9Shz79mU0r+9wIvNi+ItakJ7id2p533+wJ47 +hmdss1ojLtyCfP5H5Av4M1yjzejj4cthGPM+mCiqzx69BkV3bMMflnA7INO 9sNa62c0RHW84KBF9kGba/kZbhwNrfexUsji4uv1d1WGJtJQbarM01eDfXBV S67/yysakptOCome6gM586JO4XwaSs/+dOWqFAOiItXebvlBQ4NI9qjCMgYI 6r0Vtm+loSZZ9nZ1PQbYlRf5/BFpQcpd+9peBTPAxikmmXGpBYWVb8898oAB E0fvSOzyaEHDb9VDRMMZ4JAUuDDGqwWVe0npXIpigOW8WarBzRbkLEaN1E5g gBJbLsA5pAWlbzth8S2PAcf3fLtmkdKCtoSd//SrgwECoR1rdlFbkJF+UIyC NhPKGo71SWrSEXFWQS9JhwlBMqKlyVvp6NrjnFYlfSawu5bFaOjQURajbaXa DiZYrxPRNzekozUxGql6e5iQKDF+zsGUjoSGiOzD9kwwk9Mu3HSMjurebax+ FMCEibgezX136OgCUXpBJpgJBZ82OCfcoyMRITvxZ6FMWK09n8q5T0e7Ttzd nxjBBD8LkR2BIXSUJ0qjvXvOhBZO2GhiJB3FOPt1V79jglrBoSavVDpyWNM4 KUhjgr97Ef9dBR1JKXh9LKYzIc7QMIPznY6+LV3m6dPGhNP8SRU1Ch1tWHSS ze7C8aRsOZFYT0f8ESbRyGZCVBrRdZFORwE1cx+S5vD4yWR+PJOOxFtfXd0p zoK6PQs7bfl0lO69xd1wEwv8avYTB0UJZO/RvHFEnQUSvz8HWC4ikKSbNyNL kwUiP5zmdi0mkJdTkYOSLgvU3xi6qEoTaPu+PVaixixomimebV1OoB9rHdXo R1igdf1WaYsqgcZqH/Vevc+Cy2HRsZomBOpcTL8wE8iCSpqoaZUpgcqtV/ND Q1gQdL5Z5qQ5gaJ+vJtODmcBO+D7ynuWBNpErZZreMaCgjOMP3kHCOTYLmix 8R0LKHeVUortCVTF8snsobIgJuus8lVPAmWpfd16hc4Cg/Mj3XVeBHp6UaRw ohXH65LzQ9WbQKe50ZXSXSxI/zWi23KdQFMDuV07WSw4fpfcscqPQJp/SekX 0ywY7XTzORRCoDgRR+9D69kgUfG06Xw8gebOrdBt3sCGvv41+4JeEMi5omns 4EY2UMa/Sb5MIJBWgOmN/VvY0Fl927sxiUCUebVblgZsiFnCq16VRqDxqZF7 u6yxY8urz74jkIN9tvHXA2wwXlOwwDkT5+OLq+AOWzZMHHKKPpdFoMe+7QGG R9lQ2Low/lQOgTb8LQ3WOc2GICLy3M58Ah0dehi+yZsNlRE/1LO+EKjExtQ6 4zob4lIP+0YXEUglb0ZC7SYbBFzlVtwoJtCAu8dj1bvY210Obv9KoGCe3ROl B2xYIib8IbeMQAWstbHLE9ngsL880LKaQEt/fUwTqmRDYlv+1h00HI/EnTuf q9hgYPX65Ay2+Haz45dr2DBqcyi2qIVAQnFUSeIHGwoSt5tvJQg0bMv3zWhn Q9vyl0Gi7QRq+q520IaPn394QeexXwSyHuVvXDDMhoiGnL2T2BSVzyJFozjf P0//iPtNIHTPvGjdFBuiQH0NtZtAOYZnVcdFSGhqvN6t8YdAEdkJ00krSTDT XmIQxiKQWOdZ4pAiCZZDi3ZKsgkUJL7pvagSCUGLtjo+xr59vtDVU5WEHfpW f8NIArkp05vNtEhIaQ0IucIlEPNgYtakNglKxcU+Pdhn754LzdElwVj4TeBh HoFOdAztkN9OQtl0w8zWfgJZPpNK55rj508qXmkbIFBlBT0gxZIEf+9n9jv5 BDIeTjx1xIqEiHmDiynY+gc3L0U2JLxu38U9PYjXc5Hl3eiTJIiltIbVDREo TV/6hIUjCRIvTcKUhwm0xpXYNnOahKxVVtk+2MsrnEkXVxLkHrs5yY8QaMGd +3aGniQ4XDjiZzGK12+IN4mukdAtoj/0ENvZ9fjLPddxPmT1a2qxKw9qcg7f xvlghb2yGCOQd+WLyJ93SFj/0v5NIPZ6w4W6Z/xJ8H5rLFmKHaTSdc89mASK 0x6xLX8JpBNrqToWSoL6/3oSz2H3LS6ovR1Gwmr3B89jsc3GwpY9jCRB6/7Q lylsEYpB5qt4EgqkO6qzx3F8O17bbEokobM3NJzAdn4v/TcvGTtc7dMs9q3d nguaUknod/LasHkCx/uCaVz6igR5Gf3dFtje0oeYZm9IYAcqpl3EXh/0Nbwu HXuS7RaGHXglhmjLxvObWqNbja3dO3/bKY+EGUtB/T/YvUcvKTPzSXBWKUyd xY6uI6oufyRB53/3fJZPEsjE2OTyyGdcD11P8jWwhwuyZW4VkdD3fvMJU+y0 jQqfBb7ifP0NvXgM+1BykEMoIiGqt+fPRWyhpYOCUuUkWD/zptzCzg89+Tam koRC2dsrwrDPzlRZr6rG+TPXao7FlvXUHk6twesz+2PsFXY5IylWrZ6EtqEn wTnYXvaLdub+IGEUffD/jK3S6N2r20wCj+POKsWmmnaHltBI8Ouc/VKJHVBo pWFKkFDZ92KCgq2t8Zla00aCgZH/qzrs3lQVX5sOXB+TrKJ67OjljxVbu/7N XwL+2SR8svxUN673rA1atf/mP+98oa8X1+sJz8dV/+bv3SR5iYHrkalq/+3f /MntH4ZYuP6H7jwtwhZ0fHvcl4PXay7fKB87jyo7N8fD+fGdO5iOfdri7qtg PgmD+fG0ROwlJaSlxDB+PvPr90jsMq0jA9GjJNhov95wH/vqf2VPFcZxPSUH /72KrbRS3TBlkoSYFQm6Ttj+wsJB2XMk2F0xF9LH1vJ136gjyAG/dKsoJexu XvuPImEOsHMuPBbDNibyFChiHIiroXTQ8PoP7luNDizmwISP3+bP2Cko1Jku yQGeohovDlsgwzG3V5YDYvctvh3DruK1ur9cxoE2NcO2rdgRWrZbHOQ5oFSY vEoce0WhaTZdEY9X2q32Eddz53TJ5WglDsjd3jcSip0GeuoH1+Hx35pwj2Nv qVbLpKhxQOfSuPMY3i+j4mluwZs5kGJozCrDLjqwapPJFg40sTXjwrDNCcmM 4m0ccOCsDJXHdmAMv8nZxYHLRl9S1uD9qrLxsuul3Ry4+oX2sgPvd/Zlhqqa GQcelKDG59jXRltfp+7F92usrRDFDhP+mhZjh78LXvnO03B/sbHQO2t7jAMX liZFBPzrN+G5ylL2HOj2/GitiZ0mm5YS6oTnX9nkGoj71Rfl0ORbbhzwNpIV X4772V0XAUf9Kxwwvqmv9wn3O7OMm4qjHhwoG3WLtcNu0rqceMUHj+8qOhWO +yUbbF+c9sfjJ9hbMHB/Xe646vme5xwo8FDdYYL7c2dqzBHheA7MVGi2fcf9 O40huawsgQPpi12yLbA1rgjEGKZyIOvYYZE9uP+b+TGeqGfh9bawvqTBwPvn Re4j2XIO+Nt/PPIWnx+fZ16ElldywFJ+oYcM9oxjyH2vanz/VBX9Jj5vQted 8qHW43yRIRHm+DxKzBI/Fd3KAQH3m/9ROgj0vdRFXbafg79zkgrv4PNNXNl2 QzmfA+qXoivr6Th/gTuUvIZxfH9TlVdi/7RYKkcd50Ce4nhjLj4vB5rKpp8I caFvc4VwdROB5P+sqpOR50LKz5bJ17UEOmUu+v3bSi7MtJhqt9fg+b4dLvVU 5ILdIge0GFv9ck1+swoXlFQutF3C5/PusesvnmhwocRqkYR8JT7PRKkXZUy5 UC/EyVDC5/vXzQ/EZNy5cHkoetdoNoH0WlY0RF/lwvrDyytEsPP83j6Ru8aF 7rL/2pfi9420hqqV8r5ciFsY81UDv5888FigsTaAC3784y42b/B+/xBgq/Ec e+DFCdtkArGM7rzYW8qFC1qNkyaP8P7+I+FUV8aFoItnZDZE4PmHJ67bX8EF /2TdMtFwAtV3FmfZULigTjXvq3qA++PdqdJjVC446Lrv0wkikF/5jT8uTC6w 7cn3dbcIJLPPSz1Aigd2zspCA654f36TXmwkw4OJL57XHrjg/W6YTQ4t5UH3 PXcTZWcCHVBjvzmjwAPvVVpT+8/g+l7oqLx7PQ8kfJSJpyfxeVSxd7mAEQ9E 1nRebD5IoL/blQXuuvBgB7vEepk+rjeNJtrNEh44H2DL1goQ6CVX5o4w4kGW +6jw6nk6OptxeMOjbzx4rXYy+vIsHZHrW31TqniQ0lcRumiKjv6u+qVY3cQD G+XGNu0ROpIR552XY+Dn209tNWXQ0R6m6EyOZD8EbU7JOYnf3/OSYX2fYz8U /q0XvxZGR6dy9WQU5/pBTaZA4bwgHfkHp97vfDcAFI1rChlHWlA2WzFBypoP bJ7ky80pNPQgKfj0rwN8uDBRpkfD32/Oh/pVc2z5IHeraMfNeBpaXVKSt/8Y H3yN+5+WRdNQWOTJqoizfGjTMvPaEUxDF/Tih8Rv8uHBIvGF5EUaUgmSsxR9 w4e8Yw+Nl2vT0JyBn2RrOh/6cuRbwrfQUHv/H+qbTD7wDqu3z2+ioahjH07t ec8H/22mBn/W0dD8pkPXgkv4kFXfZR27jIY6myOThWl4vL7pvoIJKioMGT9H o+P4CwwSZcaoKGa708ZXbXyI6LpddXmIiqz+21Jg8osPlcrXvNdwqKjIt6Hm PsnH31f5Bh4dVPRcQzfSlofjkc4LQ61U5NmbaKfMx+NnXLGRaqEiNevLv8tG +WCjEaz/tp6KRARbXkeN82F9rsSJIQoVdX/c7nZ6Co+Xmjtg+J2KStxeaWrN 8mFJWtCE/zcqil27eGx+HsdjlHa96isV/R8NhyVb "]]}, Annotation[#, "Charting`Private`Tag$2768988#30"]& ], TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3k8lN8XxwnxJRTKlixRdlNJkjoqUVGhSFmKUpSyVr5CsqcNX5WQbIWy RYtf5EqSfWaesYUkGbMYTfad3zX/zOv9es7znM/93HvPPVfZ1cvGbQUPD48x Lw/P8n9TiutqgeR6SA2ImA/uWoL0LRe932fWw58XBYEKh5eAyfFUTyyoh97L 3WDGWQRSrm+fT1k9ZD2skAzJWoSAcwFJx77Ug90fkr2Q2yJUbQix0mmph5MP 5usFdRZBqCtcSOR7PUSvVzGIn1kAq0d3qpi/6+Fw8h6Iql+AXyKPSNkz9aDz ovOciM8CaH5LZt7mb4Cv/10hV5kvgG9YevoZ8QYInZ5k/aO0ACtmXq+WV2uA V32nG++1zoN8874x0GsAPfmgmo6SedDP+N52fmcD3Hx65chs/Dy4HRJMKTyC 4z8sGN60mYe6p65q+643QNqdrHcDXXPw0EjWyONbA2y1/aUUwzsHuWLF6x9Q G8CVJiU1wZiFqn6zpZLuBpj/35HxwpZZGI31r5nnNoCFd/H7+dRZsOsmH42T aYTxjI/bS41nYX1Q1LkPHo0g6sDX9zpqBrZbKZj1+DVCmNYqqW/eM3BU9a06 b0gjjI1cfi7mMAMf+3XnNBMaYeUxs1IX0gz0r98d0PuxEVy/rZ1T6pmGvE9j 9wRWNcENqPjKNZoGg6Wz748XNkFawKKGtPgUWB6pCjtQ1gQW9TPeDxcm4VyK 4rEd1U1g9nbJcgNnEuJ29DLk2pvA3sg9KKR+ElheDrL9C03gvq4aTCInIbXP Nsj7SDOQg8qF7vFMggI9UGbgRTNsrd59Ndp/AnirD++7z2mGE3W7AvL5J6Ap Qr+lVpMMyRH/SXzZOQZG4o0r4reTYdokaEZOawxyn7rscDAhg6CWfEno+jEI L3yQzrUlg0tZ1aZrS6Ng1Mn0lblNhhKfdXJLX0ehkKJ3LrqdDIU39Npy7EYh V+uZ9KUOMkxkWriE2o7CPlZY8cp9FPAcqKxMDB4Bxbihmbw/FChXkyxK7uZC pcutvJIxCiTF+g37fuWC8zbJU+XTFDivHM84XcSF1HajsqYVVNgbIF1xKpwL ARanwkQlqXDpQJE13ZgLMgqx17nrqMA98CB/tTYXJF6pj+kDFVpLr163Cf0D AjVuHPSQCsG377RmbxuGoamfvW0kAo7zNFMnPrNBQceaetOCgISgVwJ7LrAh m13eIPaABqZ0lRu8qwdhxd4+8vAjGiyl/SGhaTqIKeRwBwZa4fCUwdERuX4o s6RZrxhvhYgXdq3DY7/gnse7C+mq7WCnIyJ14ssPcJKiiOVdbIf3J7Y9bU7o gUmT1wPutzqACJtt/pvSAVZ+djeNxjogSZMV/KShDfy31rxd96UTyswvFF6J JiD56fLvO2QOfU9gSpLhZ2HNXapyF6STIu99NG+EiBRlNzfnbigvvePn5fMF 5i61pmgEdoNQp2rUjc/VoLVXcPFCeQ94q7avCDz4ATKaMkv2m/0AWWGt/Mja N2CeqXzxjXQv9M2ISSv9zYRXgqdLTp78CTnE9Ca3DSHohsIZlV+OP4FHR3m6 PyMUaXNsRTqO9IFJaa61enQu2vbwzAJfcx8oWDCnN9wtRZLif4VqZvugKuCn UrjGe8SPUoo2pv6CYp3NB50uVaLW8f5Mkmg/eAzP/zap+4wu65d//8eiH0gK JWkE6Qt6fcg1vXKyH9zvL3w986IWHWrfm3Hx2m9wUeZ35tDr0MSQ3OrBx7/B ZIR46RpSj94dN+dLNB0AJXFdieptTejWwcjnbwcHwMRhnQTNrQWNIAk72bV0 EOymtlD/tiDlH4c7syLpoB1uqb2kREGx1buKbGPokPQ1evVHVQoazdGOErxL h9TL/5z3Vaegal8x/ctxdLDa7e7QrUdB54WIh1tT6OAdZ/zswR4Kyt12yvxz MR3qLgfOBDpQkG7sxfe93XQYGH3v5vUfBRntiEiU3ToIqyOinjLnKKjdVdbg mf4g2BvqD7QsUpDfg8IOpR2DINXsIFXKS0X59E45deNByL7I2nRNkIo2JOpk GJgNgrZjrnKfBBWtGGkvOH56EJj1doS1BhU1vtL4dj9sEDjkKqOcE1TkuIE8 w0sbhB4RL5utL6hITNb3XXnbIFj2zL+ty6Giz5Jrfa51DsKqx/zI8RUVbfrH gcn8MQgDtPjG4CIq4o4NtpOZWN87gbas/1FRWP1i6bPFQZjekSAf2kxFwh1Z 3ruFGWB8aIdVegcV5frrXt2pyYC4RsP5oDEqOu1F1RjTZgCldu2h+gkqEr3k T8/XY0DdHv8jktNU5Hvmo6PSdga8PfsyJH2einYdNrMQNGFA8emLcc8FCNSi 6KzeZssAqYX2HpI0gSYa7vd732ZAE0fFI8uQQD0ibe7z4Tj/S/5rkUYEqrZc z42OYkCEt2ucmzGB4lpezaXdZUDFsNiUogmBNIlvUs2PGJC48e6DYHMCOX/n Ndd4xQCr67cNe2wJVMu49voXwQCZEAs+TR8C5at/2nKlDXPaVGmLL4H+8+Av m+5gwLj+u1s+/gQ6O5RQI/6DAUK5TR5vbhBo9k/Rj90MBuROGSXIhRBIb5Il njzHAGYgf1hCLIGS+J39bVSZ0GSTYyqfSaDFc9LbqZuYEKOgOBGURaDzXygT xzSYUNPJ09uTTSBS2P4bR3SZoE3Zd/pJDoHqltQDDxoyIWAgWGAqn0BTs2O3 9lgyQd3T3NPlA4HsRu7c1fRngtXdlucDDQSqsNpvmXedCY42FpOiTQRSKZ5f pf4vE0jfJx5sbybQn6teD9RCmGBZxxdzi0ygSM6JeKUYJlS5HMpYpBHoLUPx ybpUJmQ77S3J6yGQZO+7zBU1TFAN97B9xyHQg1XBwR9qmTB9x3KkfJhAwrtM 7T3rmZBoe/9u1R8CrUgiRNtbmMCRe1Lx5S+BRq25AXnfmXBCuEGuZJxAlK/q x6y4TDBcuU5ab55AluNcDYFRJvQlBn5Zu4DHq/KB/+M4E+xnB/xmMaNbBz5u nGVCZ6he/6clAhXudFWb4mdBU+uxRW0+GrpXkDL3TI4FPeUdt/P/oSGhHtd2 GwUWVHXxJvkJ01CEsOYbQaXl+KIPhiI0dPNi2QUfNRa4G41IfVpFQ5eU26im JBYkCl63KhSnoYOPxHKHDrBg/ej5ddvW0lDNl7aw9IMsqNvNO9yF2WQ01cnW ggV9ydeJ0HU0tOOYliSyYoHhWePGWmka3k8HQxIcWHDe7nTwLjkaEgi+fWKn DwuU9OK16zbQ0NsRzgzyY0Ec+6rAQUUaOn/B/rnZdRYEFX7aUou55pge+/hN FqT/+yHykxLWr/Lj1tVIFggN2KokqdCQ/pODahPRLHC8MflMeCMNDYi8bbgZ y4K/ftJeNzGbTsSuvfMQx+v3Sdir0hB/neHrrKcsqLEvuLighvMbZ1tppuL3 Y3wfu27C+d+ITxanscDkWNX6WsyBe30EKBksyJBQXLlnM9aTPGhSmYX1pE6R YjCHX0ls7yxggX17T8i0Og2tkPzLK1bNggoPV+YdLRoqiXbISaxhwVnOm4JW zK7ztZby31jgrRPZoqBNQ9X0Z0/Um7CegTcbX2MOK7PQ2d+O52tqVqVEh4a2 6nwg6jtZcG8RGrmY+zNUAqy6WfCWM0fR0qWhfXdnqp36WCAjQplIw8zrnGMf wGbBwJbc1z56NFRMSCwucrA+qfNmmZjPmodkRXKx3/rhJlTMVSTbPwnjLOg8 +fO4JomGvF9U/Sc7hcen/fjKCcxKcto702fweujPYgRhDuXjiyhYxOO7+n6h DjMp4KqGPi8b4kz0kzmY+zjfWz7ysWGcPftEbAteH+3FsnVCbOhJOV52BPPf w+vRURE2ONY7dV/CnI6iz7eJssFfIeNsFGaePOeifgk2pJ+vTijDXMvpuPp8 LRvyBaUkqZjvkax1HWXw9/KSCxmYbfwbhmXkcXxfhts8Zumy/QVtCmwwVrhm KL6VhnrmKjwTlNiwvuDMZiXMmWCgfWwjzve//K16mN3Di4ZENrEh1zzntDFm 3W/qr+vU2XBwZ/Jzc8zjwpmXIrXYsMqSwmuN+eNRec19uji/bOJte8yhCYms RRL+vixJ0RnzgXbRvPJt+Pupf7pcMAvLRbsHGLBBiib77hxmihOP+vadbEit mytY5scZ/zJGdrHB1K3363K8I330ZeEe7N8VkQUnzCoanhcu72WDYUTT8eV8 TE+6mropGzw3XW6wwlxY7EwfMMN9WhHJZVmv33hHdsYhNnBOXpBZHo+hofV5 Z0s26Ovb/tXFvHizYaP8MTZEGJixFDHXoP2/O6zZ0KkTxrfsVyzfp8zEE2yw r7WGZT+tzA1crU+ywerOQuqy3+vuFimLncbPfzSvX56Pnhb1Xw2O+PlKEbQ8 X5kSmenRZ7A+tYXwNMzudvJnTV3xfO/kXA7DrJucqMjrxgaTDUo3zmP+n3J0 WuAl7I/itWkVzCFuPM47rmA/zNW8lvB6Ms37V2Hciw1/7Q2FuzBTSJ6pV66x QaYzq/AO5sf+dAfNADbwmMSWOWN2LHOWZwRiv6K4jC2YmWCdfDYUs7Z1GYHX e2F4wymFcKznetepdMz+3/bLdkXi8fvNK3tiXjpqkHT8LhumWSqbF/F+Wucs /9jsMZ4P0WerVmHuyUi05XvKhgHNOHYD3o+ZdNG1VSls0D5xaCQas84VnsSd GVjPgnLgPN7PpkH0eO187E/laCgZ73/hKmdrViFez7uf5d/CTOHrXP3yDZ6P lq18upgd7jY8VPzAhlB9va2RmjTkm1x0X6KaDQF27WkKGjT0YT45urqGDfOt WoNVuN7MO0fd9v3Gxvc6t8uumKM3Ol0jmthAOhRJSsf1KTVf2CmhA/P8qfyV uJ59rXTTlhjG/tfsybiF66ewsvWmai72v/TkwErMVuHGSr6jeP0q7vG4p0xD XeaSUsQUG5rSPXYm4Pr7h1I1F79iCHh0/87E4Pot81u+cY3MEJRt4tuyEdd3 pwOCXz/LDUGubnzBA1nsT85opY/CEOgfKPOalqEhbc/6EqrKECTGVX1dPh/2 TlxPjtfB8QLG6Cg+Ty4JEh5r9g9BqHui/KrVNPRJK0ZozdUhUGW+X7OHn4YM WqWbE7xxvjcRHqH4vCsOyomX8huC/IYcs88rcL7mWjmZgCGYfpodv4eXhmK8 BHQUw7DeaV+vzYsEsikNs9Z5PAT3OkZ8SqYIxDAKTj5UOYT7gW8NhSzcz/xe daaxCuu7sEu1mkmgrrupG498GQKO0H9CrQwCNfWU51vVDYGpRorvGJ1AJSGz lSeJIVBqraYo9RMoqPrGb7dBnN+H3LW9i0BrDvtqh4lxICj3p+XhegKlfxYX MVrDAROxKx7Sdbi/2VnAGpHkgGnirbb+WgIdVWe+dJHlQNJ7vmf+NQSKXems vFeVg89XEjccEYj/y6F1PEYcsJQXbrZ+R6DJXco8IW4coOj1U14/x/1LaWXv dnf8/Wd1JvvTCCSl5fhp+BIHigdCV35PJdA2uSeBTt4ckJrVSFx6SiDv6VUT xjc5cDal4JNhIoFYb6dZc3EccHTN9nOIwf2lDoX2bwUHtNmJH855Eej50Jpg PsSBmEcaVb+uEMg17/im+585kF7sedrZE7+v2hGQXssBq/kE0+MeWJ98r8I3 CgfcXa6MaZ3DfghzLkrRsV7+2O4kOwKZDQrOF4oOgwzsprngfrU4DVQHnIfh 4OGktWV8BBoLHBN0cRmGms11/HReAhmczBn6cW4YOhnHU1fzEKhcXLy0w30Y YojZmnO4f64N7d3b6DsMFfvpSzPjVNTtGnymJGoYmFEjBoN0Klq5uTw5tHAY mjSHgiprqcipyGCNwuIwpKsMt/hHUFFoZMbtnld/IKmCLJTST0EFTIUUMUsu xIQfyH6znYJinkWe7T3KBXehTLWQrfj+YzOsVmjNhem5bf8cwveh9RUVxUdO csGbz3PqO74vxT50qL3nyoV7VBs/pjwFuRs8HRH+lwvZ/CzeMl4KUomQOij4 kgvMvIZA0yQyWjQMEu3I5UJdDn/A9Xgy+j78m3j5Gt/ryU9MXsSSUdzJUiez N1ygZKfqzwSR0ZKmjV9kBRfiqD0FgS5k1EN9mMZH44KQzSOJAQ0yKouaOkdr 40KoWv2PfhUyStx1RiOrE8dzH97olScjixe6b/f1csHe7rl0kygZfQxorr/N 4gJJd5f47ZEW9Fhn+0NrDs73MPjEBXYL8ulPPaHM5UJZSZ/Hwd8tSN3S82fV OBdyNZoF+NpaED9va3bcFBcMV5fd625uQX3vdl06O4v9+hE1UFzbgiouZemR Frjwd9JDNBy1oCeKIhNLS9jf5HhBm7IW9H9Gf4fd "]]}, Annotation[#, "Charting`Private`Tag$2768988#31"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnlYjF8bx9uIaFFJSVS2ES0/UircWiSJFiq0byQlRYS0KhEqElpoIRUt VETpJGmbmadpqplokdZZmkYbpcV73vlnrs917vV77vOco+Lub+MlJCAgAIIC Av//D6P85JnfJ8O5gwuKXdx/8DgjmOafRoY1ajGzIob/oPiiZElSDhmY457C XrwFaDTLefihmAwRO+V4oq8WoG/NnuCej5jLlj94GbAAs79aTwp/JYPwWPKO ZXsXQParzx5SMxlaszprb0ssgKnfY6HAfjJodO86YlI+Dy6GmoPJPDJkFLZb nU6Yh+CVdfUVf8ggd2I+H3zmIe/TxJ1FyylQ18VMUFWdh5rE2/5qchT4pjSo 1/5vDr57qdhYKlMg2s+iKaZnDpZLWK56ok0BtllUWeTTOTjvnJ+5zYkCoiQ3 bv+mOdD55/ruaCEFlt6Z8n5hOQsWh6sj95dTgPHF69q4zix4pK6z1K2hwPP4 uuG7a2chQbdneDWDAldvnZXJGv0LbH8Hhb55CngXHHHgJf6FtF7bkPOHqXB0 PFFepn8GlAavyg+8oAKRkL/Hb/sMCNaYG90docJo3CcVyxfTIC+VLxH2mwqr z4SsT74/DRrOSzvPCxCQoxu6bDZsGk7+rb9wTJaAtMh7OmscpqF0+/4XirsJ kL8WUvNaehpOZcOS/DgCHme3rUyL+QOUG9pEnVozeHzVT5EJ+w36kmShxJ3N 8CY2/AzH7zfkPnHTddjXDNEnI2MYjr8hqvBeBt+2GSqeFMbx9LF9BytQPqIZ ij2YtpLTU1BI0/S4yWgGhxM9SYaXpyB3a/oqH2Yz2P+3pYkbNAVG7MjixUY0 SNaQ804NnYR1CdyZvFEaxFIo0w4V41DlFpb3doIGIcGrb0wWjoPzDpkTFdM0 +GMmuOJR1jikMfTLKUItIEFT5c7cGofgQycixWVa4ISygF6a+zjIK92+xJdr AfvQ11TtE+MgnU+a0IYW0CA6XQJmxmBRrdcIim+BXVZ5vGf7xoD750dPuxYd 1ja4/gWCD+9Ox9eY69Ah93W3YO97PoQz9+YgAzrMui91Tsjkg9z7dL88Uzqc 3fi2UiWID2vVrVuuHaKDANIMy3fjg9Elh7kQRzqMRdSUiyjxIWWSobAhlg5p Nvevf/AfBbMx6rHAH3QI9blxwE6ZB885FU0S91rBWuz80af5HBAy7G3mPWyF 3x4vNB0TOSCh9JI/MNAGhiMTTpedh6DcotVaaLINqnbqp1toD8GdM2WnMjYw IH9frOm1vj5wkqVJ5J1mgMP2zk6/vX3we9+rAe8wJkxKfst/tP4HWF2wu6Y/ wYQsz0h3c81uuLi9tlTuSwcEezc99Sr4BilP/v/7BszVWk3Jlxnwo7A2rkXl O5TeGB3+4NcGN1JVvLycO6FPcObpGz0azPq0pW652gnhxTXGWe+aYauh6MKp ii6gSe54TqxsgExK1ltj024oLbD51qXyFQ5kqZx+s6oHXB30R74UVEO+6Mm3 9vY/4H1wA7FNowwuK7mo/nT8Ab3spc7q06WwbcR2GfNwL7gyFd5KSj+HHfEu 88LUXugrbSl1KY4AGclfS2r/9oLActs6AysPJIJSi9an/QTXrzLmRn+zUNtk X5aWeB+0RRl89pcrRGe1K74tPdQHvaqrAvVWvkWvDrpnVP3GrNMQpxv/AR1k GGaeDuoHWr1xh+iFKjTFXS01lNwPvVF6spJVCJUdPSCcZDIApGdVgWKtNSjM LPpZ6dAAVJdp61oafEVjSNpOYeUg5BWNhX1u+4pUus07sqMHwXXTSc85s3qk r3sjSWH7EBRn08PbtBoRw11BJx3vo9XD7exjuo3owr1CprLuEMgfKuDS9jSi 14Mdq0m7h0BKg1lTYd6I1iapZ+qY4jl4p9zu6NmIhMYYBUdPDsEvu//cqMmN iJy/pf5uJPY/a/jp3HQjclzbPCPYivMlvzcfKmxCEgqBZRXtQzBdUnKwsbQJ fZZZGRDUgeP5tbu//NiENi11YLG6MZ+aHD5W14T4E0OMZtYQuL7zdQzqbkKR jQsl6QtDEH6hr48iRkZizOzze8SGwTFl/zohVTLKvahxTk9tGKyY5aPdbmR0 0r9ly8S2YVDuHT206TQZiftcHHytOQzetqmDZ3zJKNDlo6PyzmGozgul910i IwNz00Oi+4Yh94ZnUWocGRHrnEnttsPQkPTGQa2UjKaa7vadjxiG8G1Hk2oE KahrWbv3XBTm/LRFGxdTUI3FGv7NmGE4zsg4GyVGQQlE/uzTOBz/raiCtgwF qdHrZakPcf5X4ZJeGyjI+ZvggS35uL7Ra4qLTSmobjjo1U/6MGgl9q8zj6Gg 16RP//m1Y/v1Fq+33aagB2dEyqeZwxDrqGO67B4FuXLv10p24/yeiS8qH1LQ 39Gi7j3Dw1C+6+TmX88pSPM3WzJlFuuR/qM7pYaCHos4X7TZwIJYtVh9kVkK WvBYtbNlEwvO17f3HV+gIM8vtCnLLSzwFndm5AlSkVak8eXDGiygbaZk7ltC RQ3/SFfNdmF/ZWqX4Uoq+vN3ImyvBQumy3svP9CgIruxW3FqF1lQbCvLvOxM RZVWxhZ5l1hQPnVI3d6NilSL55aTrrCgIyu9f7snFY2e87+3MZQFuRLyF36c oaLokWOJyrEsqF4mrykeREWlw+seyaWxIGG49WXFbSqS6SnLEqrF/iqe494l VHRv+fXr7+uw/1Hy0NJ3VCRmYHLct5EFGewvhTnlVCT0mC7OIFigLH+lsvUT FY1b84PzvrGgV/LIwGw9FdG+kiyt+LifK2aS0Z1UZDHJ37JoHPcz8PNRfzfu V/W9yMdJFrCOqQrs7aUiFLb/4/q/eF07MXBogIoK9dw3/hFhg/zIz4lFo1R0 pyB1Nn01G2IfC4qH/6OiJV3uDBslNvR6hbLSBAl0Q0ztjagyG87fdSoqEybQ tdPlpwI2skHr1UahTlEC+ai0t5hoscHMYr55UpJAZg8lcrn72UCaKHzttY5A i65HHNMLYEPH3kJ7QwMClY6NzKALOL9HYP7n3QTyPHX8meklNgRLUyP37iVQ raUm5+g1bG8aUqduiPOrdoedi2ZDNVkzr8+UQCINu15lP2EDi33XLscax9v9 3EotDbNBkgnfBsd7I/m7+CkbBNp41drHCHTVMGARLZMNftXfH1Tb4vgpQ/uq stngnfH5VJkdgaL8khgdBWyQGuQF3XUgkJDML0GJGjbkDjxXeOJJoLc3HV4m 1eJ40qPbXnkRyH2uzkKxHvd/XIz54RSBagbTH5EouN/p1jGKN4Eiyw+pGzNw fIX9Vk2+BNqu/p7e2IHj76shffYjUF+marBVJxsyZHenlZ4jkFHcTI1TL+5f R8cu8TyBBJ1fHg/msKH4Zf4G1YsEKqZLLyyMYHuVoP55zK4HQrOj+WzYB/aG jCACVWvZjt6fxHo9ONsVcplA4cLCNwoWsB42S55mXiWQQJ5zUZ80B/axJ9DB cALVjTDPPVuJubLl9DzmO1rWGo7ymBnXVQoiCLSq3LigXYkDwZ1fKQJRBNKo J71qIHEgXO2l7JVoAk2KZflEb+WAvG2co3gMgT4eUVQz0uDAEi5UpGPezxDP q9jBgV8fHmLtCOQ4OJ5TuJcDpJ9GUwW3CKS6xffUWUPMIbMi628TiOU7uJFk woHYOxe0kjBfmGQ+zzzIAYEpmW6fOALt2mXt6WyB7aMvutAwL1xrWq9oyQGp WRGB7XcIdFv4U1bSMQ7soqk+ZWO2OqDjbm2P80sNpcFdAsnFFalInORA+V+T ykTMWdJZGTddcLyTe13U7hHI207R1cQd53NZPnAes0ZK0jpBLw4c39odV4L5 g8rNp1d9OOC6nGuqHk+gUC8BZ10/HN/thIMnZpO8K0qT/rgeQfWHjzCL8ca7 igM5kEufn6zDTNPyTfMLwv1d8rg2jjn54qCDWjAHMoynSKsTsD7lzorDVzlQ fcB8YQ9m1Tnm9+zrOJ7ZzKwTZhZYp7iGY70/P1a9irkwqumEUhQHaENVgfcx X6w3VvgezYGG54K8HMz6yz51JMfi+p/+TnyP+d8RncdH43A9GjvcazHX3i+y l7qH/b0tnKmYbzNIq6gJuH95Zgwds9XqLMatB7gedLqrFbOcs2KyaTK2T73v 0oK5KzPJVvgJno8MrhQZc9ag+MrqVNzf1cVj1Zi9t9xsC3nKgcfxlwRKMKv7 CSTpZWK95gnIxDxefOXo72ycLz2rKA5z+eS4dEkOB7Tmo6wCMYfu8qX752H7 04vW22I2CRlM3PaaA2a95Zu1MYtVO1uzCzmQoKrlIomZJtwhlfMG53s+1zj0 f30PWNPcS7H/wyLvj5gd4pri173H+Xq/GdzGrNxsbNn1Aa9vXG5ih3lI+pPE k0qs91dGxFrMgSlFd6VrsJ6bgjKy8f6/n0u5WVOL58tcv9YN85xzTERgPe6f RDFag/nmeqcgOgWvb71gE4PnixJt5h/ZjPdXL3lgJ2Zp1o4z2+l4nZnZ+hPP Z9prMaf7TOxPj2vSwPxT4red0XecT+FSazOe700BP63Gu/C8fnE18MNcvLPc xKYPz6udhVo6Ph9fq7y2SfM4wNoh9KAlFuuhYr2pho/1Eb+cZYvZKmq3cuA4 zr9EaiUDn7/vB2Rk6X84UPyoYiMFn89RWvVsohAXymsPCN+9QaAdO15PGS7i gqushv4kPu/BDx/xx0S5QEu06LDHLHzyXL+1OBd6r+tayEYSSL5fkbxCngve vt3K7mEEctov+vXzamyv8ezZ61A8Dy/HqwKUuFCdn35r4jqBtvk2vm1R5cKS mCOZl0IIZDh1KSVRnQvFAe486yv4/hCln1lhzIXczZmnnAIJVHTmk8fn/ZgV fdvOBeDvDTnXKcCMCw1bLMtC8PcxLCHMuuUwF5S1Leh38fczSUFdL/E4F8JP pMZE+xDo09bYJSvOceH4xWRjshuBdNpWUe+f58Ku+SfLyl2xniEvE2Uv4P6v W37JdMH1UutWywdzQV7MTtjXiUCx/ovU10VygbTdn9Z5nEA2JZHW6sm4HqP/ JkiWBCI7SMsVPcbck9U/cBjPp0jWd61ULmTsbGxMtyCQru1nD+0MLn7PFQYv NifQmj//ggzycb52zbMlJgQa1r+ecrCKCyzasqlrevh73r/chVyN6zvY6iu6 C+9XXNr6w19wPLXNvfE6eJ66Kl5bNeD+Dwx8fLQD30ehf6vs6ThecoV5lDqB Qmou93sNYX55f32TMoFWmAdui5QYgWJRYU2FRQTK+Cy5TH/FCGRMKJKU8P2t pVfAHpMZgeCTellK+H4/QmLluCmMwOPY3Yqy81R0e7GziuEGzM0XtzEnqUjk y0E5Af0R+DVwdeu7fir6baAiEOo1AlbekvHfq/D7p6SqZ6f3CORaa1/zr6Qi 2a2On3g+IzD9jjIl8JGKdqx+dNXp/Aj0lv55pFBGReenl0/tvjYCpLW3UlVe URG7dJo9m4DtnSNm7iRTUZc6rfVK5QgkuJi1t/pQ0TPuiuvCCPdz5QRtqzcV uecd3XT38whUN4gwwr2w/wZmcEYdzr/vtJCqK65PsUepnobta/4N77OlohVi I6dlB0dAylF169heKjIdEp0rFOeB1tdLhUpSVFT8FDYMOPOg95O//Ps8Cpq4 OiHq5sYD+VSPjV45FKRj/5Lb7cGD6uOuvlLZFFQhKVnC9OaBlUNInnMafv+G 9xiSA3lAu3du+Bt+33a6X3d5G8MDVx+rV4cuUNDizRUp4YU4/osF2bX6FORU pLNCaYEHSyKWy91BZPTu5LQETWAUGmRfOOyoICOJxR+XRwlj5jT7M9+RUbXj niXsJaPw+IHIIrlCMlIVM/lXKjMK3rMzHN80MhrytOZZbBmFfYNigxHBZHRu tW9jyLFR6HCjxJprkFF4dGZEV/4o/DoaUOWV0IQKWEqpEhZ8yFBeUHc2a0Sx 6dGuPUcwPxwpMjZqRJ42vI2F1nxwjczu2ri7Ea2prCw+bM+HxxNuur2ajeh2 vEPdHXc+kOjfpretakTeOk/GxK7wQWsFu3fTYANSvSFrJprDhwRXhaH00Aa0 sCtEnJnLh4a/8TsVghvQN14/PecVH3oTtXUTAxpQgn2Jk+kbPpTPsKwvezag f2o2F6Ir+SAgtZaraN6Aulrinwq38iG3c1N3nWwDKo/549HajutpunVGXKIB JRm4bMnu4MMSgzuvrEQb0KEXGqVGPXwoXm9qTZ2pRx+DqY0RbD5IHXXf8qyn HiWr74y3HsH2H5K9ycx6FNCXdkyFz4dqaxmXSVo9Iln4/qiexHzoXeDuL/VI RLDtecIfXP93kwSHynrUW2bg4/oX6zPN9bpcVo8qfbI1teb5EG79YyK+sB49 Wrds6t8/7O9to//iZT36H2YCsz8= "]]}, Annotation[#, "Charting`Private`Tag$2768988#32"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnk81N0Xx8dSliJbRRKKflQ0pSh5HFtSqUihLIkWSbL2yJIt7ZaKsiRL JVtIiSJ3MPOVsoypLKVsGbMxTLYQv/vMP/N6v86593zuOeee+1V3v3j4tDCJ RNITIpH++9/2ElYKnjWDqnuST7tgAU5llhSO5jaDw+y9nYW0BQgdlg7uL22G JSTT4yyjBbi3y8fiy7tmyN9lmy8xMg95N5tlCGozHBJJXddRPA81HZt+VLQ0 Q0Pe2hLx4Hn4onknP7+zGVK3aR96YTkPQnX7zOJ4zfDS/kAwbeQvKMoUSEdM NoPtFWVqKfEXdF0lvvuSWoAWBecSs/7C8ZmGgCMKLRBS7L1T+NhfeL119zNl oxb4cp3392nHHHyMfOonZdkCD4p+x4W+nYPeFhHjhUMtIKy90U780RxIna9r 7/dogYbp5EIJjzk48wTEC263wEoRDTG/qVkIG3v8JT25BYKOBPYX/ZiF+zCf FZfZAt97fAUHqbNA+V690+9VC9Sk2HuX3JsFJQXD8zu+twCRVx7jpjcLTVe3 tRAbWqHBwrPvVtQMGC77JHx3eyvYfL/XH+s1A3mpJw2cTFqBRFHZXW03AzHF 8Vn8o63g7hD1h7Ee+3ey/BWjWkFfN9MzqPUPFNM3e1xvb4Ubmc09Mxv+QN7G jJVeHZgHgr0stf+AGTu6dLEZHfg7xvvnpqbgsm7Lx/N76KDnUnZpaHAKSgOU BunWdLj56/pb3ucpWDNfopTuQIfGcxeDdpdOwR+5H9GbL9BhZs3bt+u8sL+R wVHHFDrMKUzQ/+mfBNVE7p/8EToIMpTCUd8E1JyMyC/7TYcyLwva8c8T4Kon f6xqmg5m38t6RGkT8KjdsLJJuA2MvbSHr+ZNQPD+Y9FS8m0QXrJxaGnoBCiq 3LrEX9EGodckLMi+EyBXoPV7G7TBnm+VssuFJ2AR9TQPJbTBtrQljSabx4E7 1fPzK5kBWelK4oP5AnhzNqFunz4DBk4Ulp3IEEBkh3Eu2sUAzrl31b8SBbCi IuNCviUDFEskn0sFC2CNjm1b6H4GbNJwb9W9IACzS05zYc4MOKxUNtRpKYC0 8XYljRsMcBte5G3JHAOrseYj/j0MCBnb6CK3aQyecqo+Ssd/hgVRTfqWbD4I m/a2Did/hsCQkfr4WD5Iqzzn//r1Bey7wqz8hjlQaf3ZVnj8C3TtklB/ijhw 51z5mSyNdjCjObff1xgCFwW6dP7ZdvCJG9c0CGDCpEnhL8+IDqh/wiyTSBgA mwD7UMPfHaCeIP7cL6ofArdSX6+o7wQJ1ewDaRm9kJb6368LejiKZzwafkBP MfV2m/o38JITLGg++A5X09VPn3b9Dk3RIh/vyHXArNeXdO2Q72DkvLphy4t2 2GgqNn+mqhvEFZjUU8kMyG7KKTO3/AHvvVeyWAt02JOjfvblyp9g5WTJqN7R DAVix8scHHrArpRd61VKwL8qJ9b2OfdASoKMcsB9Ajbxji7pONALvhXz3krl FNBLOPFXpLkXbnaGa+sJvwX5ZaPi1JlekNExFJOcKwdRlF6y7lEfRC68sh7p yoMv4/05ZKl+uBX9bolBbSqc31bVJbG/H0gXdQUXD96Ewr3uWTWTmF9xFGXy 7qO97abZZ4MGoC06RpLn/RRNcFfJMB8MQBZ/VY+N4XNUbrdHJMniF5CVjeOo EmUowio28zXzF7ih5uhe6wo0huTslZYPgomV2LM9jyuR+o99nU9iB0FNjWpF oVchQ4OrSUpbmUC+Z942IUpB7e5K+hnbmDCa+/qN3lIKCogv7lAzYIJa4ZTQ BXkKKhrsXKVlxITELWotbeoUtCZJJ1vfkgmkJ4rHTxlTkPBY+wu749ieMvO/ 4ksU9KlAuyEumgk71Kaqvw9QkPOa1j9Cn5kwTQ4+1F5ai6SV/MurvjJBJqxL 9XJFLaqVX+4X1MkE38WjbStqatF6CScW6wcTTBKme8w+1SL+b2Z7K4sJiheD qS6DtSi6cf5VxjwTbCYPlWcq1iHJjie+/0gOgULIUauxrXUoL1DXZ+eGIcjr mrZyDq1DEx/j+n2jhiAl5dbE5JZ61L3kq+dczBBML/IdWtCvR3XWq/nXrw1B 5OGZLFGjepTYUjD7+PYQaEWc9hGyrEcbGA0KzclDYCPveOvDsXrk2iW0R7tg CHZUB8fERdYjYiiosI8xBG6BfOvpj/WoSOv9lgtfh8C3/CYjtLUe3T8nWjnd gf0XHzSc/VyP3Lj3qMt+DEHn+Tuvhrvr0cxIyY9/hrCdZeORPVKPNk+yl6XN DgH9m7WXhSwVpYi6Bh7WYIH4UE/yFTsqmvdYub1tPQtsJOy7zjtQ0al6+sQh bRZ4Xh6Fo05URI42//eALvZPvXh5tQcVfVjQCrHawYJKn3svw/ypaGrmd4Sx NQtSrht/vZpIRfZjN29vCGQBSXCJXtlIRdU25tb5l7B/We3Xjc1UtLZ0bqnW ZRaQXWIU0ulUNOJzMV7zCgtM9qub+nRQUSzvyF21G9jeUXJu6BcVvR5Sfbji EV5f4BavuUBF8j/Lc4SpLGAljn74Sqah+KXh4RUEC0bJpAbZbTQkucvC0bsR 661q8N5rQEPCKQyp9hYWBLtRywr/oSGBLT84v4sFjgOWYLSPhug0rUM2fBZE ytQvi3enoTsv0mczVrGhk5DXnEmgIfFu9/bDKpgrXuQV3aOhq5IbXoqpscHN MWD4eDINhZ6tPOOnyYZR0sP3BWk05KX+tc2CzIYPXZS4lc9oyCpZOo+7mw1k 3cCU9W9paFF41JGdfphn1dNVf9LQ6zHeHxTAhspfDNr6Xho6dcYx0/ISGzwd Cg5v6Kch6qHNHLtQNlhlaievZ+L4a39E+MSyYUf0r+bfwzQk+mFH4ZNUzGZ7 7vbN4f2MntpseIRZUK5RMo/3e7lssvQxZtWsdZdJBAox9VtEz2YDaW5dYJ4w gahpTJOaJ2yI1NY7IyxKoJgLSe2dL9jge8BJmiNJIGH5USHpOrz+sZKXtCKB yq47PU+isoESlPcnR4lA7nOEtXIDG+iOxF89ZQLVDWY81Gpig4wb9/T+NQSK rtyvY96O7Z5+tEMaBBJyfe4YzMHn17D/p2QzgUoZcvPzPDak3HB1XLKFQG57 rjyJ5eP8MhtHPbYSiEI+OnJvnA1qpMl0ye0EihQRufpi/j99zRwdQwKR8l1L +uU4IDM4299kTiCC1+GTuZwDlNu9rhK7CXSHbKvrrMiBG105NFNLAq2sNH/x VYUDnQJf+1wrAuk2aBV+0OJAytvxh8YHCDQumeMVu5EDrLBb4ccPEujdQeUN ZrocEL9vb+d/iEC726Xyq/Qw/zZgJNsSyHlQkFtszIFIk9TNRUcJtFbb+8x5 Uw5Mp7jkP7cnEMt7UFPLggOOAY8UMx0IFDDe8TR7LwdsKJrfoo4R6JbI+5yk I9ienTq7woVAb9WvPw7xwnbRh1aRHgS6cprkanCBA+TXz8/uOkUgi/zLKuMX OZA4fuWaADOd7P3oQhA+z1EJ4sgZHA9s09wiOUCibXdlexKoOObjMZUYDozu 1Yy7eo5AgQ3mSt9i8fqWAYqyF4EWDuqn2N3G8fZa7zQ+T6AVrsoPLB9wwMps c4TdBQJ1ZycdFUnlwAf1v4MtmHMGpZZT0vG7LZdgb+lDIJ0LpKSd2Tg+KdBB +yKBBKWX7Saf4HwXkthJmCvHBXKvcnE+66jX5jBbhA3e3VSE/Q96sJEvgSQp rrbsYqxXLqhE2Q+fR6RTJvclrmfPpqsBmJ1uf0xQreBA78Qfp5X+BFJrNT/U /RbnS8/CzQMzU+69dGo1B3a4Pw4qxOyfVhInV4f1mbO/bg4gUMVc2vU6Ku6H T69kz2Oec70W5d+A63dqZ2wOZrNav9C1H7EeP8kt7Zivr3MJYjThflhesXxx IIGaYq0uRrdyoHRDq95WzHIsvXNbGbi+e/pvH8fssE/Vo/8L9kcRayIwPyqS dLnXgeuVqc/LxNwnPWlv9g3rK02eqMa83q/PRtCN8/Pvxl3tmM9/btqX04Pt +tfeczGXbq+0ONyP92fphf/FPPHwibHwINZnVReyJIhAhjPxO8qGMH+sebMc c6RzyFZ3Du6/rDdbVmOm1ZzeJIe/qxIr9HlrMEuq266v43PA890npgpmmxgj NX8BzreM8FolzMmD/1u1dgLno/v0YxnM3/bIKzCmOKC4EO0silm1YF4qegbn c8Wg8zjWc2opR2zrX6w/fGVWL+Z8n69C/QscPL+frW/EPEKnzN4V5oL4UaWx F5j19IomTBdxwURnfiEec3DyQ/6YGBem1/2088ZcMxXNzpbkQqml+fBuzCLH fQZspbhAd6toUsZsVX3sh5AMF4Jn6wXDuD7xa3Z3vJTjAsVFcKIas+KA8idZ Rey/v1P2IGaX3WK02lVc8Fyd7SCLOee5oMZPhQuRxsVMOu6PTd6NZW1ruUDe XN5vgdmv5XVRlCb216+x+YP77Q05K3eLFvYnbZAswGw6cSntrg4XsqJ2nyRh vubgnmRK5oKvpzApF/dv09sD8WNbufDBz4i3B7P9FY1o2x1ccIuBkkjc715i jHOy5lzQylccoeH7U3LuvUftbsx+DmIHMY9/ynPxs+JCIsnIn+FNoIjECNu2 A1ywWrwY6Pg+Jinp7LzryAXH8rm6THx/u0IV9UyduKAY+fFfScxrforojLlg /cg+2g/f97ycb2q2HlxgQVnatrMEer/xhrisDxdSFmUw4/G80P+ysvmeL9Z7 bVEAC8+X0rDndxUCcPymIIYx5pxmYpViMF6/VWpp/0kC3bi4SEc1GuuZPxck fIJAh19F2+o8wPygPaTQkUCfnORWlKTgfHCWejLwfLMQzflGTsf1EnutO4nn n8HRWo9tWVyQiWXt3Ybn4+qphaBdBTifPdy6W3h+DhmGp+2t4YLaDfqK7L14 /g8sPfGJgvdnS3xMxvP52+1H6w7UYz1CfOfre3C+u6uKbD5wYbTPYt1JPN/L rszUODBwPPM2I74JgcLq/h04zcTnXXpuOsiAQLL7/DdFS/PA7cpJMnktgbJq ly0xlMWsKnwjR41A5J0v2GPyPJDZRzGRVSXQQS1W7kklHpgEX+gYwO/ZrcWu 6qYaPCD3ns11WU4g0fq9K0iGPHA0JG15KkagyV3qpCuneUD63KESyaah2Fc1 P7d78mC0NuFyxBANKWx0fj/sxQMb3wqL0EEa0lv1MMTFlweJO2U3evbRkO/0 0gmjUMzOJIuVXTTEfj3Nnk3E8StyFn9qoKFuHfrny9U8uKGoW3c7h4YyubLh IogHKXLCt8yzaMg93259XC0PgsfVzKYz8HqNjuAsAsePu3vVMZWGJpV/qjTQ edDJCXAax98zspK8swqDPIjcdzotNYyGLJlic8VSw2D1pi/jkR0NlT4GjV+u w0B+OWn8YJqKfof8Fjt5chgqJVo46RNUpO/wnPvDYxh6De9XPhZQUdWyZa86 PIfxe0+qSudRERH50/STP15/X9ojoJeKvruHnyi7Ngxa4S1hqQ1UtPh/VWmR xcMg3uXwpu4+FbmU6MuqzGO7M7Xp4ToqenN8WppOGoGsXIeqh6pUJL343dIY kRHoXWPjkqRMRRTnf8TZ4iPgaVBUHSOPvyclLRZey4+A2oW8MUMRKmKesh22 1h6BztCO4CX99chnlXdj2JERIF9domCQUY8iY7OjugtGgKUoVfRBoh69YKmk S1vzgR6x03Hrl1p0IyPW7edBPjh675c+21KLTh0e1iy25QMl4KddyodatLq6 uvSAAx989RLiR6tr0a0EJ+KOO2Zk0fjvs1rkqZ86JnmZD6RrJXf6gmrR2qsK VmK5fDBZ5yamoVCL5neESXXk8UHNqUSbK1WLuoYHGLmFeH+DkwPFYrUo0eGV i+VLPnj+6lbZNEtBCxsOB8RW8yFS+V353z4K6m5LeCzymQ/TjGdP/xZTUOW1 KY/PX/ng1tjrGJ9HQUm7Tmg/6eTDh0LtPOUcCtr/TPe12U8+lBKNipuSKehd cHNjFBvrcbtspRFKQQ90tifY8viQKOT0PTWQgvz6Hx1R5/OhcvmyJUt9KEjL 2ruHMs6H0bBmU6YbBYkKfXmaOIW5zXLvweMU1Fu+y8tthg+sDN+RMjsKqvZ6 spn8lw8yY1FbFA5Q0EPVJRMLC3wILn4p529JQf8H6Q8zAw== "]]}, Annotation[#, "Charting`Private`Tag$2768988#33"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3k4lF0bwCdryS4iFK0qaioqVDeSiEIpvYWkhUTZW2UtvaksqUTJUomS GcaYmWdyJFEiM5a8lF2GmWEQWeM7n39cv+vel3POM7oeFw+eESORSFvnkUj/ /x/j7zHd/r0WVup2Smm2z8Hr9c8WezfVwv2WGtD9Ogdq9C12hl21cCiFL5Zn PAfRZlXhs8Ja+DdayDLum4WRKveiz+O1UKmt2Lc9exYoudNBNvM40HQsTmz8 wizwRFZx76Q4kJ91muG2YxaWGiXmqMhyQH1qAb9BbhZikV5bqxoH0k/IZ3gy /0KZRNCEhRYHTovrf/BP/AsTNkj5tS4H3kvKK230/QtnGw7vDdDnAD+g4XbT 6r9g0R9JkbLggDD0gTTj1Qxc2fCt6vxeDkh1fHnGuD0DlECNXxw7DlA5UZFn zs/A0tl8jVRnDkRmHE2J2zwDk8qtkRt9OfBD/cFH6cppoOzYdvhoMge+BJHH HohNAy8i8uL7ZxzosZ7f5CWYgqWVNf8uz+KAadUGl4iGKbjreLpEmMeB+YwH OQHZU+B1NmFNxEcOXC2R8FN1mIJl8YLJnEEOhHgpxn7InYSSk2E5Bb85oGsG zI3Jk+C2ReUfYoIDXuf90kpvTsLT7yaMajEurF9iZ7T35CRctv0nUk6FCxzy iatP1kyCuvadEJEaFyYK7NfUaUyCcq7eb0Pggv1s60m7+AmQLD8jRHFcePpw v/bRuHF48XAy9XMSF05qv0mYChsHS897ttwnXFgVpKFI8RuHSJmi3K4sLvSG S2ocOjgOsw4S5yQZXAh+utEiQG0cJlozf+3r4IIv41xQZ8YfEIy3tzWS66Ds sITz+vIxoHvGle3bWgfNB+7ffFU0BuFNu14h0zqQuv55jpw9BmrFz3xzrOpA XM9pc+CdMVhq4Mi9ZlsHfqfGrHmhY2ARcnzmuksdKFQs3/HacQxSRr9rrLxd B9s/VVfSukbBerjGKaAd6+/rfXRZfhRe8Ikq+fv1kPJItMg0ZgQuPLZf4f2g HoYEb/Sar42AmHlH7cDDehA/rxN7M2QEtll2X/uUXA8+22qmwvxGoOqZjMH1 rHrgLYvN5P0zAsMO/8T1M+qhrcUhSttgBHYV/zlU3l0P9yUX66k3DkNz1KbW K8YNEBAot29s3TDIa2eLenoaoK/OTm7FfyJg2NU7io02QK4MPWDmpQjunis6 m77yO5CP6mtbFgrAdRFHPsfzO8R+63G5MsKHP2ZverzCmuB9W6MNr4YHDoFH rpn8bgLNYot2yO2FoM3lNLWP/+E96lzHTeuBlCf//2uGlPwN+y3KuqD9XXks V7cFlNu86zMfdEJ0qu6ZM24/wGLMUP+TbRtMezekrr36A6JdLvrR2lphvbn0 7FniJzRMFDOol5shozqzYLdVK1RnlYdYfmqCvZm6ntTFbXBXZnxLgmEj5Eof K3B2boeNRCuvp4ALl7RPLO90aQedwIf2R/Ge6AsPL2za3wFe0bLk2Mlq2BJ3 4q94TQcoHm+gRAV/BhWFofnlUx3QIVHZ/aKxAiRQav6Kp52QLPt1dSX1AzSM dmWS5brg2CWn9NohNpw3JJoX2HZBR2RqbdE5Jryx8Ugv+dMFir4JW8QKKGDz 3TzDM7gb7AQXiCzhSxgTLFHsfdQNHYuqjpzryYSiQ3vFkyx7gLSKnKxeGQVh 1jef03oxp0VOdGrdQcNI+YiG6i8wMv6xd11jItJt3fdf1s1fQPJQUNXxSUcm 26KTNDb3gs7TCH3n9znIZWnt5Lz6XqCYdPJVH1OQvEZAEdHYC/Hp6gpDLyno g4qqf/B/vdChmRyKaBS0esHxvr5WrE9O3r2rjoJEv3u/1/Zh/UOBLEKWiiK/ zBY+m8VydZ1bjDAqkmnK8tspw4M3acHGfBYVvQ7acMF4HQ+Gaud4Va4FaKzq XpdfBA/IkOjbPFWIfi5s9JqJ4gGp5tusjRQNldlpiWJu8SBemiihKtFQ/Lfc 6bRYHvg1i7hn9WhoXV3lopqHPHBfwbzseZiG3Jrn7V2by4OOFaEu5Xk0VMEL ftNZh+Vh88YnnItQsoRb0MGVfVDKKXvxLpGOZk8tNuKu7oN0je1GVal0dPoj Z8x+bR8MHdhIb31BR+TI3Zf2b8D68hVxQjodfZ7Tu2q9vQ8cLrlX57TQ0fjU 77Bddn0QP3UOZekUoyPD/8auC+oDv8Z/ZdJfFSO2w267nJA+cPfa8pj9rhgt p8zI6l3pA8r89ZZcejEavHDx/qobOH4lV6K7ohjdFDol6NzG/m6F2LzuLUY0 3rLHak+xvUWNLrGSgVTaijLFyvuA1PZ7amEqA92XDQ0trsD6P16VfslkIBlT y6M+X/pAh6Z0+UYuA4kl18l9/4b1ixQ+VjMZaMRRdDmnGcdfFjU108RAnE96 9g4irJ9iGpinzER381Knny3ph3S6VfixCCaa/9Pj+0Htfhg6/5I7GcNE0TLr qNI6/RAOG23j7zPRNU/GWf9V/UC+5fI+M5WJvHUbuZbkfvAz06x2LWIi64fy rwV7MG+LJm3gMZFkaISTsT/2x9KXtrBkIdqwcBIF9oNDVr/beRsWOn326HOr EMwu+zbeO8BC5fYb+Yeu9UPHdglgHWWh6OWtYRdu9kN8a9JOlg8LSXze/ibr CZafNKg9+ICFrpr7S3Iy+uEqxVv3WwYLiakMzZMv6weOujlvsIWFCmKOZyeV 9wOFZEqsbWchj5kKO83KftCZ2rTRtZuFyn49e6xXjetvbJ3OE7BQJMPWYPd3 bG9xw2Z8moXmuWUfvczH+d3PK1mrSSBSjlt+lzIfwp2emao5EahC2HThuSof KCU9C985E+gu2XGDizofdFCD287jBFrM2J3XqM2Hjhu+iRYeBNpQqffmsx4f yIMPjvIuEsjl18ird7uw3GMuLfVfAi1f63P2vDn2V1Vm+fYugfp8fq3Ss+RD /NOWKFocgQJHm15k2PBBMSql/s1DAt0Rf5+Z5IT5hUmHUQaBmLoxaVe9+eCw tayLQSfQjTMkt22+fODsyPy4m0kgy5wr2qMX+WDW13CogiAQh+zz1DcY219J iSkoxfHAMcU9nA+k6uMea6oI9C6q6h/tKMxdd7ovVhMoqHK3RstNPpSurV5K +UaguQNbkw/F4vwo/31eXE8gNTfNR1aPsH/pnYrRPwj0MyPpsPgTXN/LVTF3 WgmU+UtOtTSVD36+9LLb7QQy8CUlGWfgfpgq3PPpxvld/5Wg/xbHO7fpAZdP oICU/HvKZTi/QBSjPEGg4pmUmLJyHH8qou/+JIFm3G5FBFRiedUfX/FpAsWs cA2uq8b9r6wUNPwl0NO3Mq6JTViekdKgIc5GnfJ/jli08CG95dZ1Zwk2Wu3f 6TDyE+fnX3zwniQbUYwYlge7cP4dWfc7pdnoU8kZfeUBnG8v+4y+LBvJ6Dqu LhNhfybd6evl2MghaodOwMj/7QmVFfJs1LJXZVHdOJ5fgsHLKQU2WpY7Kxc5 he1VtCpaFNnotCxfevNf3K+8MysKldhokFM6nSAmAEXDvMd2Kmy0ZcvbMXNJ AbjDNEVuERtdfvhYNCwtgNIMy4WVmMWPXeh2lBMA5/apmOVqbGTN/qd1nqIA HJjRb8ox31+6p4mqLICO5O2qJxazkXq35lcldSx/1f/+ujobue6R/vRhiQDM Fm2Ym8OcmT1S4q8tgHDqgzvXNNiIt6CNoasjAHLJjpMizPo+Xwq4y3E+g/ui jy9hI/9vtLcRqwQQf659FGGmk9NfbdLD+X1dQtPSZKOZxNj0znU43irtj/6Y zcdCUhIMBDA0JbkCYb7l7JFkThaAn9Vog4QWG1Uz998f3ow5RKrFArOSlvHt DCMBkC4e23IF85EbKyMdtwsg/V+5rmzMqR0K1+eZ4nwf7uB9w9xhMR1M3Yn7 0SRuOYh51cveiyfNsL1s2KSkNht5S9edU9qN7U99ma+GOf/c+1Mf9ghAJ+Zv wFLMo19fu/pbY/lDI+NlmE02JDnr2uJ6V8W6qGMOiw9z5O7H/iwXty3AXD7i bRvhgPsXMlLyG8eTOXxkz6ZDeH5MQ9J3zPbF5tB5GOtHjGVSMCdpGBgnHMXz YNm+jsLcfE19i/nx//drv5I95qVt4gbDrrieBKV2ZcynzESrM9xxPR5vlWtx v15ntug4nsL28lvyojAPSFQsmXcW+29n5pMxb/akLqJ64f4mOWl+x/N4v/72 fKULuJ9ayptlMG9tWFyT6IfnIf2ckY7nSbmenbAoEDN59Wsy5syaiiXql3H9 PU8+7cD7oBVypP3JVWxfaTbGwPvzcGlvlmYozvfxkYQNmG9flDRYFonju4Gy FN63eeoPh9OjsX7MlwlPVTa6WrqSvjwG5yu5yf4j3ldfJUtYfRfnpyVmfxbv 98HCSEeDR3h/skMLXPF5+HpcWS0/GfdvbcXGWHxeLCUyW8ipeP+06CsK8Hna dvjDKcN0rL+QHyDE509rfC7YNBfHD9CqUF7ARo+ex5m8f4vrSdZWlJ3PRgrW y+Z25eP+Pb3UNCvFRmJPdt22oOH8CmI6Ofi880xCU2xK8Px7dkytJrGRe7fs ia+lON9r+lbCWQK1xD5dsf8jnse4nNobfH9U/yTeOnzGPCCwVMX3S8GNqRLn OhxfpWcsdYxA69fciWpuwP3JNbpsMEqgF7Ua1sebcD2yU9GMEQI91jHmuv3E +tGLzAkRga6XXeo+04v3q1f2WGA/gca8pV/z+gRAkQiy4vIIdEHlsc85Aa53 gv5Rr5dAJ0/Tx3yG8L51/g0s7yKQldSYdNAU7s9L5od3+H5V2hegHykvBIqe ZJk9vp/TPygsNFESAqmxRLAE399k47z+YRUhDI2xH7RVEuiAXt+rkxpCcM8P 9rD/iN8PKTdd85WYeVZqTfh9kPhoo0Yywf7ubqeGvSTQAxPeaPEOIfgd3m5Y n4nfp4Lo+osgBMWiOctl6QQyy0Dx7ZZCKP1JU8lIIVBomNFCZI/j69iG2+L3 6o+pLunGGWyftfLcjksEullY0mbkJQTO6IixRhCBFq13eT/gLYT063HZg34E 2rLk8VVXPyE4qPe4RHkTyG9CdmzHNSw/XGzj5EqgftpE/3S8EMKDj04kmeP3 xYBTf4UtBJ3Vcb8fSxDouUApVBxh+fJNu2tJBPLIObT63gchxJe6mpL+slD/ yqbL6RU437Q1evZjLPRHs027koPj1SyTzvjFQkoyQs9Fv7C9S0KI6icWsuqV nnknNwDx8Uv694Sx0IIXNi+3Kw4AR8hML7zKQtUnYw+UKQ+AYvNHNc0QFjrU Kp/RuHgA3LvZZk34e8W9QdVqRhfrVxanSRxjoWtlK+Jttg4AOdFF1XALC1HS YGWP2wCE/0j243cw0e+rv6VPnsTxvr3c9PYHE211zha0nhqAdENDca/vTEQo KBQ2eQ3AUIJ+S81XJqoIbzP/GjAAOi9aPQ/SmeiHR+iJglsDQBr+EQV3mEhq DZES/m4Af/+0EXkGTOSav1VJexbnS+OtmfRgIPqxCXkOaRB/z9+yph5nIHkp lmyU+CA4cKUeeTgxUKnLzvn98wehI2c/i7KHgZbLWM7RVAah9ASYTK9hoN7T jgN2a7G+UstrG0ExurDE58t1J6wfEUjn+BSj8JsZET9zByH9TdT83ON0JHdJ et/JPBwvoXCh3SE6SvHyVe7NHwSz6Gzo20dHhbbGWSIa9v+caqpgQke9Stxy MTSI388lCYvV6cg2jTR/bf0gcDTpasr1RUit+MT94OlB0MkazqVaFqG8Pu1U eTsR/r6Znl+oRkO3n910bzsggngNFdfShTR0+uDAqneOIhgKnX5YQaIhLTab st9ZBB2n/Bjv+YXoTtzxirseInA30Ks9UlKIvLY+GZa5IgLFeH+24elCtDx6 kbX0K+wvccgqK7cAzW6/Ltf0GrPfnp3f0gpQ80B33as32P878tqRxAIU71zo akUVAXnic/fKawVobt3BwJtsEej0dw4b2Ragn9y4NPF6nK9CaLsUn4oYt8ZP 1TeKwG/Q0vtDKxUlmZ5Ym4V/hzsE+48EcanI9uUGmkUb9l/UNlPBoCLW5Zov Ef0iIHmaSS+OoaJHBkZxjkIRcBLP3nlylYr8u5466YpwPAmavOoFKtKz82kv HcX1NadpjTtRkcS8hhfx49jeRS/b1ZqKOopMvd2nsL0H1fC9KRWxvbM2kv+K IF02/5PqRip6vGzh2Nwcrnfxo2Oey6nof7GZMnc= "]]}, Annotation[#, "Charting`Private`Tag$2768988#34"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnc8le8bx49RhJQURcqovhSlUlJykZMVRSqVGUmpZKRkb0oZEbKdQVMI abmFpKEcxyjZeyZyQtbv+vnH6/363Nfnc93Xcz/3c2Rsrxy156ZQKGpcFMr/ /7fDz3F5URbco8a99uxdgNVSt66NirFApinUf+rMArz4JbVpSpIFXXYNhvZC C3CiNK+eIsOCzbWvJoI+z8PfmIMhSzaxYOq+2x6/uHm4Z/dDZcUWFnDMRrVi 7eZBZdflbgllFoh3VLn2756HusVccXK7WEAFjQ1OS+dhxSP5PyrAgj0lD5rD 3s1Bntcb2n4qC94sGe4xSpsDYyPjozr6LHiQVqYd5j0HUb+v55mZsiC6I/pu vPocCKl+uOLpwIKBkAmHVx9m4TG/+fqgSyw49WTnUZMns2DQ9OtrhAsLbEcF jAJjZiHcR2xrqhcLfp7uYAdbzsKiCvthEsUCOSY7bcXMDDDuTSdXxbGA50Dj glvXDFAd7hxi3cd61V0J277MQKBA4aNOOgsG78mxaGkzMG/Me2FRMQvINcYR Id0ZmGqh9Ri0s8Bd/oKyNf0fDE22tdYr14JY0o35iz7TUOQQVWawuxa2X30e Vu44Df6NGllkXy283zqwsP/kNIi9SL38UKcW9E7tu5y4cxrWKZmwvA7VwotH aYffyE3DgWvms94WteB16uVs9dAUJE00rNkQXgtbY3XWPzozBXpj1cdc22pB QmGYnmM9CYzB15+EI9lQuN1x075YDjglHJFzjGUDw4i5UjiUA9xa7d9G7rFB yb2nsduPA6rULq/3iWz4sIf9YcSDA59SBZS86WzIX5VKYVtxYMz4VNRAMRs6 Dsi7b9/CAY0Xf00rutiQWyL+a2PlBPwI2t5yQ60OkkJGP2nyToCwVPZod3cd DE/9K+akjIPmiaCWroE6KJAcPbVwdxxco6w/d/6qgw7a+cZlN8eh2JBtwj1R BzbZajMDvuPQwLU6u32qDuLpzZoH3cchrTfcqlmoHkyUVMooh8dha65jNVul Hqp8xd3zKeNgpL31cVlwPcS3Ki967zgGty8UnsvY0AC9QRl9/Ma/wXJljfBD hwbQD1vHyfoyCn81H3ef92sE5n+jVqdPD4Ox2wmvvX8aQSBMKfv32iG4uqOi QKz8O6jzPZPR7eqHpPv///sBb7jA9L+2XmjLqYhgyTQBj672J4eEHghOlrG3 t/oJf+VK3PWmOmHGsS5ZwfMnPHZxunXxbSds0eKbP/e6GWjN29ctWLVD5hda vrZOCzS2DnGnDbSCLk3GIU+8FajR48fV/muGR3yn883M2sCyUPfKSdvvcF3K WrbDog0eCH1mZ5p8B8Xh44KNRu3Ab1qn24pz3BllPcdT3Q7Rv/zL4gJqQXTZ b/6Kf+0wnPhPfSWNBbwk+ZlcSgd4VPpyfX9TDXUTnTTlpZ0QHc/fLE79BBdV Xv9YcqgTnM/63221rILH+rYZJX87gd9wQdH0UTnoN2hlOrh3gfeFgWiJmFLg DEks743vgtxSxbJcXwKFpro8cdRuqInOU/AffQF+eiHpBb3dEE3V2Dedlwdj ZMWJNat6IM3DeLHgulyQaTH4Tg/pAf8U/g6buAewVzU4bs2OXih1P14il5MC Fuu+TXOxe8H/jLTRaodwEF7jWvi6Hll1heRQZxi8E13l4v4dea3YE3HrMNi0 xLy/v6UXKE+HiM/JUBj909vwrR9ZyNbI60gwBH6cf546j+sDzVcrHPYHgUa6 836BPuh0fOnq4OkND65udVLb3AeUWK3Oq5IuwPl0p9M5AFnHSoj62oE0C9af nw1CDl3XmmB2gZQZrh0NC0UedA2tGHck0V8fzaRFIL+qOP5woxPZXPthZfU9 5LrITraGK7H6waWr8AjZok/SzMuDVPa5P+6o7QN/2lQwXTuQJPJaXT26oR/8 z3mXP/C4Q+btxHexNvUD5b7oJ/Evd8jZ8hrOEQXUA6zctNdHEuVA7etGW1E3 f95ZUxFJqhbkPfX29EPpogqW7eJoMvnvj5+GIa4/NrdERC+GnBi7GbH5Kupx gWb++bHkjbG24cNr/aC53DpS+Hsskc2dFZK/gX528V1ec7Hkl9OVyI2+qJ/+ yzWhG0dCho/FSIejXx/vm9M/40hB3/oEsRRcvzcynG/2HhFtLaRxV6A/g3vp ko2JJFLIx+dFJdYLfsow108kAvuoJy99RP2jyoXwy4mEO7F2acNX9JOZLHQu TCTjJqMeD38gB19f7qN9n9S8lz9iPIocVaMbcTKJ3H6aPJMqMQClov8mc8+l EP5m24ajUgPgf63S/mRoCgkW2JzHJ416lt9YEzOFeDkUn3PZiHrqpK9Ldwpx lKlnUZVR3za9u8c6lejdE34wdBD55YLqyJE0ssgn4JiaywBovt7YZCaQQQrG hqeJG3KCqcOcWAY5e+5kus61AWiXpGnHymWQiiPbBk29BkD6tfNElHoGCZZt 8XMKGQCbwP2B1ZczCG/Vnsf0+1h/so9pXp1BPLVcFtVkDoCq0/tb2WMZhFv0 N5dwGfaXqX+zwT+T5IeZZ8dV4PpmB+mIiExiO1tpKPkB9eGfp5XjM0lZT2qC /BfMj54rN3ycSQKLDylpN2A+3Smnui6TcFlln/QYxPVKoRLjG2iE8tDqWeeK QaBU/1fV8JJGKocbndJXDYL//RURNuU0clvZZKvFamQnt8zvX2hEvFj7ab3U INgs7aiLbaORrR/kH1fJD0KGotST3bx0YtEznpWjgSxbUqFsQCeyCpfOXdRC f7ckxcyjdNJ/qWejPBU5xWE1xZxO3CYaGZn6g1B6n4TdvEgnt3je0uKOYX1R 4OrPEXTyUiYszdMR87/eiBf8SCe+9hQr1cuo142l29fQCfXhDamJK4PQnmRt kdNIJzXKl1Iuu2N/Nx9PC/ZiHpgk2fhjfWG62BQXg4hZScbrxGP++x2n43cz SHNm3HGe+1jP6hxsVmcQWs/SVaXJgyCtL2uxQptBlC5T4tQy0U8lZEj/CINQ vXtiFJ/g+n2LhYbPMYhr0rM7K8qQDdil83cZ5MVsUlhZBbKmgN/aRAaZtQoN cP2A+eMvehVSGSRMztK99gvmy717I5rNIClPBCzvNqL/Wb3Pcq8YpEP474kD Tci0mbWkhEE2uXQYjzfjfBITFQ3KGSR3VzH1aCfuvyQvatsXBnlfYq+4YgT9 Pgk8UW1hEAEZk01lo4OgSS3ZadLBIMZB6tKu49jPN787p3sYpElXdGXtJO5P Qf6d+giD/KopnYnhHoJ2RrYTzDLI6i7JzyKrh4ByVENQU5xJLA/yvX8ngXpX abOZBJPQssdLXKSQA/KzraWYRPHSx3yW7BBkeMfsxB9JRItzLSlGaQhsKsvO aWxlklAz2zgtZfQ7ZaDboMwkX14aRY7tGIJSpp+K1U4mOeG7IdBkD/pFeWto 7GESR77aCyLa/2cNU9BikmcX3tq9OzgE/vyvf5ppM8nE5weWLnpDoGn1I8jm IJP4RfuZsIzQv8pa/YA+k+AdeyjAGOuXXzeRPMQkAsdPHNxuivW0yKhuQyaJ W6OkFnMS692XR+saM8kPr9U7tcyx/yppsw4TJlnXyqM0Zon93/QxvmjKJA9o TdImdkMgPW3edeQEk4zwVkpwnUM9yzPgkRmT7HDIW5l3HvWS9eack0zydks4 v4gT5pVu/mRuziS768Sr7zojt0zWn7Vgklzv7JiVbtiv6MbtNpZMorBR9US8 O/b7M6LFyArnW10psdoD9SbeFiVrJll77UTbfU/st9FhO8WGSe6t66VL+iC/ j2iuQA6/skhpfSD2z+WksdGWSbhW3xvLCEZ9rn6qFNmzdEORbBjmax8VOWKH 8ztf4Mm4ifrdwpvfkC+LUGHTbeQalt2Bs0zS+5LN8yAS/YQ9MrORbWztqhRi cH83PagLyD8E/tx+HIt+TNphfXsmOfo80EQpHvufqHgXgvzZfIXYs0R8vjuf phcgU3lpTcrJOC8D+cF65JIn29PzU1E35KYPIKsef2enkoF5nou/jCLnzhnL F9GwH62Fc/3Im7Pah1WZWL+3yJ2NTD/snPcyG/MVJ6ZzkddOLrjve4T5ggEc f+T49Ki9b5/g/GbkHLWRl+mtX9B4hro+/dQU9h/+O6e8NA/9r1e8T0fmvq8R fqAAWdkwVw3ZS+urYUUR5pnMS1T+f14DliI6L5F7U/kOIjvdHan/8Br73zxy vQjn27fXJ0m/5P/n5ellCWSbLiHrz6Wop6YPOp9hkqaIFDmjcpyfStDvl/i8 TFUU+7++xzx98QAOPt8vza+fGFchC0qkySHrhBxyqf2E63/o6VPxPBCln7uO VeN8qDbBZnhe8n3/lZjVYt4O1bzjeL62/Hcr6Ecd6rUXszRPMwnj2xo980bc 7yG3HetOMUmCtBrLqhn72d28Kg/Pr3fZ9S77XtTVRPfuxvPOceR70NeP87rd saroCO5PNOHShSHsp1k5Xv4wk5w5W8S59Bv1axIRPQbY32IO39V/OH97e3eC 72NpTvAXziz6891h1OH7qma2Mub6Ava/LS+kGfB+eLBTwot3GDIGU89W7GMS EQNXxUDhYfweMMsndjBJxrtlgntFhsG/50PpJbwflNWeDoyJDoOm6h6FeiUm OSzfn3VmzTDYaDhQr8szya3FVjJaG9DvUXArBe+fNb4zC1ObsN6K7jy7Bt9X TmJrrgL6N7317Rdjkg/d7GTpbVg/Iy9+dzmT8Jbri1H2DkNpubPrFh4mid3b N/FCHXXO0nWPFxhENj+YfQVQp4qckMT7UDOTRLdR0S/0olv1BIP4+O0SJEeG od1IKsUD79O/+2QovvaYbxjqMIz3c8jzktZd51G/p/PZnTDIyi0Wb0ccsX6T 589RvN93SiR4Wjoje0ksKcpjEOcpIY66F+YXyNbcSmOQgYKpgZlo3B9r1Tsz dwbxUIyveh6L6/evbxi+wiD8jJ3ZF+OxP3VGkasjfh9inc7+TEbmkA5jawax delufZWFfsnWq8z08PumVMO+8Qb9ZgUTb4szSPqQiA8PQb7t9ztZBNc/NN10 5x3WGxrKpgli/oZGj4xK7F90XNxrgU7+SrZKfajBfG8D9wT8nooIDDus7EGO p1PN8+lEp5dvNmfpCFBuWLit0aSTJQx95p7lI1Ba6cMK3UMnX85EHC5bMYLz SVLtU6YT0xbhzHrxEdBceUEmQIZObOpW6czKjEC7W/7dNdx04lUmF62/G/34 D21oLaWR3DTY0G01AtLWNzOJCo388fzDd+YM+tcE8pItNLLbLHuoxQ75cpVE viyNvF627Hnj+RF8nirn3Jbj7xn/Vq3PrugfeyrZdiiT/LT1sc4PxfXmnLsT aZlk8X+vk/xzUH/5S3V0NoPo81zxncvF+uKVdg7jGeR2m6yt5/MRyPDbf57d l0FEEm8pXC3G/Sw5uCisNoOsXXK62KEM/Tw/PrLIziA7hqbqDzfg/nISssoO ZxDLZ7tFpOaRr93M51ZIJ0Wnp4RrKL9AM0trZ4dwOhFe/EooiOcX+G/mcaZP pJFSi/38A/y/oHQLS55N0oisAHWhQPQXUKZDe9qOpZHesyYjhgpY/8mTk3sj lThJXProfQz5q/olak4y8Q/JDGh+hHzC7Hx5eQJZep3P4MxT9JuaLGhhJJCk 85dX9D7DvPgBTltIAnl+SI0+WoC8LNoiRTeB9IqwKrgJco75n4mP8eRQGoVf gY08Vvx306d7ROyFdaT7DPpliSckF8eSp/1SycKGo+D/rk3TPCWShKeG2LQe HgVKuPwfEYNIcvboyMYcE9QteZruTN4ha9+8yTUyQ9166cl6kzvkVpR55W1b 1LmWJNB5bpPzu++PCdxA/dtBWS2Lm0Q2eKUeXxbq/aaf0zuCyPwe76WND1AX Fq9fFB5Efox01WY9Rr1mJnP71iASbfbcUicP9Rqp+KYbgWRh81G3kDfIjoWW rsIBpJkVlcbDRv5DWed5ypsUh07aseuR7bQDuNO9SNw+awX6d+QUp1Gxbk9y iLm14EArMq1CqPvSDfLKo/pjwAByZt+W5TeukXilXVEmw8ilYh+mX7kTl86U YzKjyK7Ln16ZvUrkDS+1lU4gJ/7woPi6EV6uOkb0JHKfqZNkiStpL9znaPMP OeJXddmcC3njSN+mPIfc5JT+V92FJKwX5CwsIBfFDhZ5OZP/AfHRNU4= "]]}, Annotation[#, "Charting`Private`Tag$2768988#35"]& ], TagBox[ {RGBColor[0.772079, 0.431554, 0.102387], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnlYTPsfx4e6ohIJFVqF0iIULZd3KZUWLbYuWkkkokLaS8UtbkUUOTPT rkU7+qFF2hAy7WhRaa+pNKX99zX/zPN63svn8z3nzDNHyt7FwmExjUZTWESj /flu/zTMvGvEwhPmyfsCfQv4sdnEXNyYBa2xlAHd0gVkPJhVuWfOQneGIXeK 5gKuLckQWXqMBV/rzZzSoXnsu3pi1vskC1ny2w6GZ81jeTdv+6gdC3UiDmuq rs+j6cjLt2ccWeDj4u/1PDCPi6qiYWauZF4Of0bRrzmoJ1VdLL/GQtnGZKPy 6jlwr/Gw0PBhQRR7J0pT5vBovEFU5hYLMQFh367az8HhdMhczB2it3lrvtGe g3Kd6o/l91hQ4JPcJCU9h4q8qCeTFAsn1ut4Zfycxairxe4PeSzwW0uEZlyZ hcHox8OubSxQaSvZIZkzELLzUevpYgHiy9Jto2fQWqOw4WQ/C5PDfha3/Wfg nh3WuZ/DgoOL1cC7QzNguBxwFeWrxTzznWrg3DQmhsrCS3bVgm/W/vGzE9NI 7H/1XuC/WjDtbuyc3z2Fi9GmG53u1UKwan+A8pYpLNZu/zx0vxZbyraHHZeY wm7dTq/ymFrI6up89l07hfcUr6J3Qi0cVazXX+D8xqjZP+F9BbX411HONSD/ N/a+mDhU1lmLmydcNSR3/0bzje0t19XrwNw38jrRaBICYinsrq46OAbtzJRJ 5EDr6I2Wzr46VAvLH7ofw4FruM2HjuE6bKzEipV3OCgwrjVfPF6HZD+33wcD OGhYJJLS/rsOY3nW7huvckDvvmX9nb8eXYvNHxcbcKCU7fSxVqUevHfbP71i j8NERym9NKgeacLLbunpjuP2uWdnmDINmFCQVLzO/Qv9Wk9v8W1tAGtJeJX4 9Bj0RZLSrm5rgEzhAlc1ewyLK6OGjTUaoLbzh/yeb2O4LuN+dcq0ASd1ZeY9 csdgtbpGINWxAY/m2efSQsZwpm1HiIVXA1yKJZab2I9B+0h2EjerAbfeHxyT qBzFhFZ611m/RpSZp9BCE0Zg5nbUS+NXI2x4V+/d08+G+46y/LVvm3BGYBKK HkN49PDPpxkcfhXG+f0DaMssC/si9RWfO0aOr2jvQ1CslIOD9Tc8LOTv27S0 BzNOdbFynt/QHs1uN6nqhrw2z/yZV9/R3HJCp0ytC3HV8bk6ei2YLrxUpvB3 J/TjpRxzhFvhH3WtXq34B9J4juceO9aGeNW9b9Vc2nBNzEb6x8k2VE2o+ahZ tUFh8Ahfo0k7Tn53q7Aq+Iad4TZzXB/bYV5kpvV9fTOEVowsLZtux3f+Nco2 8k3gLo7N2vj4BxQsF/peb69H3XhHvPLyDnQ0GIqJHarFeZVXzcuMOlAlibc6 JiykH7BnFk10QNYepndvfcaBBu04xyud8C6IiGJuqwZnYN3K7gedULb8Fslt 8gHPDulzRel2IcI3YKuGaiX8DIIZ+d1dMJPuHI7+8hajxauOiq75iTM/qvhP cUoh1WLYlBD8EyNbHWtU20qgsTsoSnRHN5iW53X0pV/jpPjnqUW13RhZNfNZ NvoFaI0Jl/bw9mAiPTZUS/s5OO/vdFwK6EG7x26FEzZ5+M5Xf3b2Rg9KrodM j5jlodR4A/tmSA/MdhS4RuzLQ8SntBl6WA9sX1pYDm7Kw1ZW5eqP94n/XlCh 8FAurJsX6cul9YCmK7FB0ycXFT1X0n+weqAln1qclJiDGG5rdwuZXmQXuzk/ WpGN+VPCql8296Jmo4JUJVc2Tr+t4ZjK9aJd2cBwip0F5UCdayZKvZCc9tvC /SYLVQuyngZqvSj5lpA/eCoLk9O//PYa98K/P2HZkqeZODr6b9hW917Y3hu+ pG38FEKtz+IXlxGWkfsmXpSG//h9fF5U9IJWXLZLOjUNvJq6ls7vyDxfjpl6 VBoWx7CWN3zqBTN5OjveKQ1j5myP1Gbij0OWnUgaasplTc3YZN7lQNk711Jx +2nsDLWuD1oxI5G+uk+w9Lt9g4VYH2xrAoXHtj9BEO/WHB7JPtCee7d6SDyB l2PBmcub+tBe4S9VMp0CJ6n6L7rKxL9FepVqbgoM7gs8GdhP9NTIo89kUvCX T8Bh9ct9YJ6LjeQIJyN/dHCq2K0PJRWWd1qWJuP0GUuG3lXiFw3rrZ9KQpnp tv5DXoRdXuRMfktCkHSL38VgMl/v6N4FZhK4q9TSEx6S/LmdReuVkuCpffmv mrg+TIipzwovTsJioZFFAqV9kKx6cOvq4UTk3jyRElVGmNdk+LR+IuxnK4zX V5L+l7v+OaWRiNKfVLRsNek/krMzQjIRgQVGijoNZF/fzszUoQQssk6x9Ojv g7+1oU1zaAJoqdZZHav60a5VPiLyJR4Vg40XGWv6wcyv5VlbHo/byuZKJ0UI r00L3fS/eAgX6DytF+uHf2pwhVdcPJQqZdOrZPuh1b7zFbdbPE7+HEvO3NsP 29h7xcGi8ZCWcz5zXpvkl6TxPRGIR6/zz02yuv2gzdPDv3PFw228MTHuQD9K ftnt8B6OQyhXYXzUYbJPlnno/bI4/E/qJt3TifhbNr9RdI+DrwPNevcF0jcb tcLVKQ66qdfFxl3IPN3bp6ps41Cj7Pz4whWSX/FiRbpJHHph/sjWn/iPF0gb yMZhrfX6B3oPiL9bI6S1nQnXR1l3VpWS/dWjZB1tmHgx++hmaRnZxydScpkl E7PWIQGulcQv17LutRkTNzdaXWFVE/9Za74j+5h4nMFrdbeR7HfRMNxiMxPl RQ4Kq4YIK18I/NXBAK+U+eZSNvEbOSseaWDA7Mbfkq5jhD13hDS9Y+CrvtBq 1iSZ1/9SXjeHgeGakpnIxQPQGmrJyQxgQKRz/QdBkQGUaMzyVcsyYLWfp/zN OsKG/4joiTMQnzJWdFlsADSp/b4/hBhQcH6X+0Wa5BtX7/NeoEObc/VRpCLR PVVEtZvoCDlmH6WtPAD/kft25Z/oqP6fyX+jO0ifs81Xp3I6jvrKBJqrEZ6o MBDNo8OJh3VOUIfkOa9CuSLoyDpXeOoN+Z+gJUhURdykY/zDE6vLBsSv77Ac fnT4RfiZfzEhempg7PxFOqJEFdUjLck+D/7SWGZGR6H8raWCF8n8x+qyBiJ0 7KoT/nj3EvEburqbraIj2zslcrUb4dcKGlf46Yj/WLFOxIPkiy2lVy+i45bL X4oSgUTnNptMHqCwSOT+KDOIcKVx3N1uCp4lMs+lb5J+TeukRz8oXBDUxebb hIXlMxYaKVjkBZorPiAcXaYvVkHhw4lVa7NiSH577pGBNxR0ueO/Ksf+Of9L en0hhd1H3pxSYRLWe8uaf0Yhe85M9nk8yXeJPt+TS2Frcvvg7iSis9TLYzIp bJhcuKKZRnSz6GMJKRQeMMI1CjMIS2vUWiRSWGEgsbA3i/D7S+fF4ygsfrj3 1r58wmHXOpbFUujR8Hl0oIjsU20dsD2Cgm0nv82HEqIP8Hi8uUPha9jjjSZv yfWwVrpwIYxC9fdXGWZVhFWW6YrepKAXbHSZ9Z5wv7G4aDCFYsVvqoc/kv2i FXpVblDI9Z0uOsYiffdGNUv8KMhvCb3RXEf8K9yLtvlSSPwsanCikcxvrZZ6 5U1B3COVv6WZcPdBe3svCtGS6l+sv5N8+UHvTZ4UVr6rut/eSvRaaWfu6xRC L1set/9B+tZvVFq4RoFrXa94Vydhu9SiNYS9S691OnSTvLjgOoOrFDhOPE96 esl+fi/+fnCFwkWhaOdzA6Tv7Iw0jXDvq83bB4b+PJ973gW7U7A7/ZzjPEK4 sU1+C+Gv/Hovh8dIf6KefpcbhcPP6n0vcUi/b6NwIeGPVg46Y5NEr5h6mENY bwmHx32a9Ieuff+GcElmUDVnlvC/MYlDhNWPrY68tkDyOwY3qZL+3IWEI1OL BuGf4GcYQ1jhyc51XtyDKEkuFRAm+yWZvW2dXUI4f7NLDmHxKYsE32WEx8XP OpLzxcR1ONL4Ce+WnFAj5xc0dFUIFBiE1ixzzWYPCsw3K/g0BImu4nREj1w/ ZfWnfaNCRFeSmAgh17c427AqdS1hZd1fPeT6H5TtTbYTJVxtY3DOh0ILIzhY dAPhtukRXnI/nYU3nv4iTvoimL3V/uR+LLGW0pYh+zfo5OUEURD1nVn4vZn4 pU/51IVQeMKJac2WGwTtek2Q8L8UKrtqYyW3EX/BqPo8ed6Onrzs2bSdcFBz axx5HrtrBf6JUCF+iWtZDvcocL89sJamQfrsD5eaPKRwT6Nn/MXff87XPHP5 MQXp3KBaF5B99ONMnzMoaMUVR7TpknzoQxVGMoXPIlYu0fpEPyNdqJNGwTpi 2sTUkPDrxweXkt+Tj58qX7Epmb9dyWuU/P74J1l9Vy0I82ctX/uSwuOLl6qU jpB5zePRx4sovLRKD6YfJ7riq0CdSgoTmlI0XwfChVIaUV8pBOcVtaqeJfMZ qUIFbRRWy58sHHIi+RietzNdFHaui/a0ukTmb/G428GmcOk3P+dvL6LbLfFT 5KFjwSWtdtyHsAnvXdPldPzXo5+b4U/6MwP+iRSiI6Mh0GVDCMmX7uO4SdLR l/+7byaC6EWfBvM16fBQeFCVd4/Mz5FQrttHx9LEnSnnH5C+pfw8QoZ0bL53 8fS3WMKpbjZsSzrsL3e1vkwm/kCJA9IedHxXrKm9/pr0X+/1uvCaDsaAoA9X 8R9dgN5bRvyphzbfeUPyh/cJ+H0k82UaPZgVxN/BXT3XSsfE+laxyhri10o9 tY+LAUHeQcfVP4k/TH3vTzMG6ioVBek9ZF+aWZnQCQZigl1ebuknbDfqYOXA gPiiX/yabJJfcGJre5L/m99TOXZTpF83vcw0iQG9bp7ZzOVDkMz169pDY2JZ 4oEktZVD5P1L30hxCRPVdmEHS1cNoUTxxJat/EwcahGIqxcmPGKjbizChG3d Gr1ZqSEw/x57tH07E16lGyMO7CJsqsnj78BENh0yXdZD0Epu05FqYuKX5y8e O7sh0Jbwr3zQxsSuYykDLafI/NthdOEeJl6tWJHXeJbkD+2c05pgosK/VfuD 6xDaY9c+VlgTh2/2Pja5IUPwD+lRP3MkDku2vHrkn0l0Pkb3P21xOMDl4juX TfoDSq6e7o3D7TZpe888cp7zHIbXaBwEY0Ll3AtIvpUq+EzeZzYsO17gWErm ecu3C8jFY8fA7/qDDYQ1ncd7rsTDKmuXoNg82Z/Zlz8rkoDnx38L1NCGwVQ3 2O8nkwCBJS/5b3ANw1bNwnulcgJKTu5Z2rd0GDQT9yZr/QRI8+ou5AsNo2TQ XSL9agK6T5sPGcsR/1k7Bq0pARfXOb/zPjyM9ul+o/tJifAPjgv4nkb8AiEH hJ2Tsfwaj6HdU+K/aNWp4pmMR2cvrOrOInr6yKj1rWTkGaknsPMJK28815SY jG7BL2WLi4fhP1Meb9uaDCM6balc7TC0rNysyg+lYO0Lm/+uzAxDctNfXU36 T/C0VyxWwJgN2helT6OH03CLCrZtPciGf9a+lE1n03DaYmhTpjnRxeoLznql YcPr19kmx9jk/SzIf0N8GkLDT1TctmdDayLJT2MkDWd3PRzlvc5GiUmBgml4 OqSDVhvwJLNh62rEZjVlYF7Ne3njE+KPNA0aGMpA81AnKzmd6ANz8kJcTxFx LM9KL4fkbb9mhis+xcJWC7fg10RfZnRqz42n+P4lnM5VS/aZzA132p6JgpDJ U7X1ZB974/du+pmI0rSRS2hio11s+q/bVpkwSlLK39dKzhNv5N33byZeenx8 F9BHdFcefcvOTDxQVA03H2RDssbHuXkqE5c7Hh+WYhP9UGTouZVZkDV2bisZ J/NzT2c835MF7kV1iRGTZP+tgpluh7PQ/kzTyXaazKepJOJ8Fl47JWxTniOc UX5nXWAWoiX4OAsLpD+w+Bz3wyz8H2yKUNQ= "]]}, Annotation[#, "Charting`Private`Tag$2768988#36"]& ], TagBox[ {RGBColor[0.363898, 0.618501, 0.782349], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnk4lG0bxgmR8KYoRFFeu4wSbTpVEtlVlrIllSRbm0hkaVXprbRLISpF tvTMDJNEmywztrKFMGYYQhLy3Z9/HL/j2s7ruq/7fkbNJ8hp7wwhIaGlwkJC ////5dDtqgVJbAzfG1lj8X0aJuadEe9useHu61X+NHIaQkPHOKrJbOyb7S/X vGgaH+9L6p9MZcMrbdlmzW9/cX1rcnxDJhvdWuazOx/9heeYYevyF2y4WZy8 7BvyF1pp74wv57GR6hyvG2f+F0MOble4RWwM5afOlV74F9QUv8e8mA12i9AL 05EpxD2NNkt5y4ZG2ib1a1VTUBDNHHL+woYjX5hmf3EK61/92lbWyYZYIveI g+wUJHwvZC3msnFD2cZZfnQStXMWiUUMkPq7ZCpvNE1ir//mQsNxNlwDUo0u pE0iQeW6wgMZDs7nTV0aMptEU6xhy4nVHJS7LfYaTJjAI9q7lXXrOdiVXOvZ cHwCAS2ul2nmHKxT4jcJ75mAkEk0euw4yHHncuTXTECj78vD7b4cuDwYLh7p +4MjDgH7DK5w8JtZot264w9kVDIEXV0c1K/uMQ3bMg4z59iWTi4HHfpqwSmr xhF6xetTxwAHtbmBBm3a4yiyYTvOGOHAwuNQRJvSOOqFFTLafxM9ykWpyVLj SO4+59ksVYe0z3HblNi/sSzHv5JtVIeiO4P/Fe75DdtNy56VxtXh+dJM2uWr Y0g4ULAvRb0e8vZObEn5X+gze35utk49POiCVTyJX9iikP70mEE9XETuGjdM jmJGxfUBmzX1UK26eK6maxQn1I8cG7evh+Wg8XmbglF4yFXLPNlfjy0zPejH Y0axr235GaeIesQe/5a62XUUG3bkpIvWEv9x2+HH6SP4Zfasyy+qAdJrEtTW 7xwGI41393hcA2x2zbk3y3EYMRJ6286cb4DtkLzDty3DkKnOepN6rQEzeUob rq4chobXi+TWjAYEvE3bZiE7DOfIl67bqxuwc7k6v/LDTzgcdo5YM9yAxeFP Hacu/UTB61efodYIHekVX5TxE0eWl+XPf9sI7q8o+42rh3Dn9v//mnDvZoGV hMgg2l6UXaxR+wq+51zOnJMDiLurtnev5zcoPBmRi/HmYcKfc1c7/Buscxcs oyvxoLtB/O8+ejM+GJ9XWOLUi4efH+VusmjB98yLshfNerDlkdr+lwtaoSWn 2clL/YGn4jtzXVzaEFoYUhYe2onjKl5Lvru3wUPnxNI3fp3Q4++Y3WDbjvvz 1onGh3zHiiteUyKV7fioEZROm9WOef8MSpT9aYcZV3Oj2j9tEC25m7303nc4 NA6f2vr1GzgjHY9o0h04ekHyq0N9Ew4a0ZtmWXfgevFCFwlGI55Z+aQU/+pA 2oHDHezpOljVb3i4/2gnsjSHpfk0DkZ5SnO6kzohJBMhHlvIRsG2LSLXzbvQ +NQsOiiqBlGW8Q/yu7sQdkVZx86xCkMlc50V5X/gTuFjxtXdX6DWsrUxNf4H /AyT7osqf8Yak7jrisu7YRkxUTYo+QHui6rGhdmEFamtty6WQ6ghNdhUsgdG UwsTLL+8w+jHSx3Bp3ugmrfE8tXKMtwS9TzipN6LxsBW7stdpfi7Z8HKGg3C k2cbJHeUwvdt9ai9di9ufZ7y8bMrBS1m03HbZb3IETplb7ihFO+ntcItV/XC b+kq3z8apRj7Mxy13qYXvWvxxG/4DZyHzl/UOdKLaMXXKtlX3mBea8GjGWW9 eH8hdiSnjoXLUpGRr8p7cY795GhuFQuSa81dAz70gqbqqPb6AwszbtVK13/p hbdw5XAdk4WfjoKwJ02k/lPst33MQvU7LXsHAalXM31zeRgLCc/vTtxX4mJV jgLjy2IWJJp96p1UuMhEc+RhJRbiJHVeiqty4ep6xFJFnoWI/UX7Qv7lonrZ PyNRkiz4q9XVmNO4cCiXlhXhlcDyhkwmbzMXqp6M89xbJRCLPL19dQgXKT8M adqTxcgf4o+XHCb2WP/9TsPF8N3n+sDiGBes81y9uL5ilNkb9G2LIP5e0e7C TcWIW9ISFRjPRbR+yhKfwmKIvl/1LPU2F4mnjg3RQ4sRviFErPohF/02609m uBZjxrxBYZlSEl/8Y+TdEBO5Z3dlXC8j+j5NTE1xmfCZLLdZWEE4uNl3fQcT pT/u39T6zEW7vbJFYy0TMUXW+pvquchhX9MPzmdC2DPDNayP2CNPbzU4wYTQ E8/sjrl9iN5lmNMuwUQ5vyHwgXwfUu7+PHNVmIkEmuMyd4U+JJ6e/GP9h4EF RZue16n0gbXna14Lj4FlFVrP3mv1waEs2uRIFQPuP34+frGe2KX8pg/eYuC1 2tnkcP8+mJWEnQk3ZODUXiFPk0N98Fad9WyXLgPmT06ojAT1oVpolrHFvwxU 0wLuHTpK4hvzw0wUGeiF4x3vaKLvYHjMBWEG5nsuTLJIIvFn3VcNsekIvZN9 aW5pH1TX6LcURNHxavLO2dKyPtC6NhY0hNMx6XnmdGgF0a+z5uCMY3ScXepx tPYz4Zoe/9AAOu5lSXr810Di56smMtzoeFe8V29uP+mncJ/u75V0SKo5apQK +iBkoL08w5AOh9h1qqE/yXyGzk976tPxdcs8udox0l9EYG+vOh0D1ayJqzN4 oNG6Pu6Vo0Ohc+EnWQXC1ewbM0YpeGwWf/eGvGu0gj3upkMUHmX8LA5R4SGl XIQd3U9BL+BDbs0SHqpXcD+qdVPYMHrszlV9HnLEHhZ/aqDgL157QHYTD3No rJhiBoXsA8w9bzaTfPMC0mNfUxj5lOkRYsmDg9VWH8dCClGJUY41tsS/2TR9 Zg6F64r6q6+6Ev/N53QaUykwdc9JyAaS/HbSs+ZfomDMWVD5XzAP0aGWZv9d oJBzMuOq3GEezD4d/i5/juitLFdSCONByMPbY0UshXNBYvqLY0h+D9lFFSco OOXFOOonkXw7Qhod/Ch82jV3fvYtHhKP1tA27aNgLvroK+0uD4O3gzrW+VIw 2fFmj1EKqbdnq62FNwXlsemja5/y4C3BUX/pSqFnTeQdq2Ie2j/eHvuxlYJ3 p5TXJxbRc+T+AVsrCl8v3ltq+5aH4F2Z6owtFD4307Mc3hN+Xx+SbU4h99Sf YpdaMs+MMpv+9RR0NS/ENnGIvkh93mVTCmlVipa7Gsg8zmd/NFlH4abq6hrP ZsJKslYPVlM4WXq8c283qS/xXfOdEYVRf/HMnl6Sf1lGXsoKCoHzbgYc4JH+ zQvDYpdT2O1bOBowSOxtVU89aUSflAU18JPwV568iwGF7QV1p4JHyXlnHy50 XkbBYuao+JE/pN9vA9cO6lFgvYj7PDrJA8tu7Eu0LoXVLnJXj0/zoFp/Y+19 HbIfmSuUIkT5SNxZls7ToiC7NVQvRoaPdj3r1NZ/KaS8+Wf2Gllir/J5uYgw bfVz7tA8wtOPdPerU7DT6n28W5EP78u1XrJLKbQ8iI9XVCb2dZ4LDi+hELBg qW/NIj7mLLA2blGjcGGmp9oGdT6qX59N/6hKQfHUxPRvDcKssGFbwpmjt1pz tEl8sHRa02IKqw4ZM/30+DAbWlB4iHBFF/uuqgEfweIHtSQJO7uHhDcaEpb7 Ov5iEYVutoxbohEfNPnV2u6Ej1pnmViaEE51L5AlLPrWar7QGj6EhhXvV6lQ uLamZ+TVOmKvs2i7QXhJbhw7CIQLXof7En6pvSRXcyPp77ZV4FrCZg9LEtvM ST9LvxQpEa5S8Ai6uYXw5cVuMwh7Jv6xtd/Kh0POfLufyhQGxG/pidvyMTie kNRHODJq5ewSez5Sjrgb8ghLjdVyjzkR+1svlRHC9wKD3y/bQeqrh7qJkXy6 3dIZ3S7E/2BQ1yLClMez+OSdZD4SRkwzwlZ1lr7OHnywZtzv8CfcaNO9Ucab 6B0/u+0+4f1lsWrlPnzkqLNlGgn/WqsmdGovmed2j3kLyTzi84pbV/qR+QvE vPcRltN1Z/b7k/q/soZfE057NH43/RDZh6nllfJk3iuUboZ7BJP5GZ3gnSBc etXITf4wye++27absNOsWpPKo8S/tnJoJznP4N9So+siiB5h1pQ7Of/poKfs kUg++f5J7+kjfLlnS25WNDk/h8CZ0WRfsupjgpTPED3PhETKyD6ttVO145wj 8/H96xZK9u3jO6ZewkWib1tmnxbZR27+b+5EIrHXPsh/oUEhTC/pfd41Mn+3 Yl6kJgWJtBUZB5PIfKZ0XHeQ/da4Fuj77S7x70r6rEz2v0BSatO1ZKL39cFa KXI/zGOeqFk/JPE1q2eJkfvjE9LVSj0m8zc9LCZD7tdQ72lm6BMyf3rR+0Xk /kV7L76nk0X6+fKsyITczwf2O93uvCT+W3coxZD726xfzT7BIP1lC8rDTIid JxspUkL0pxcsyl9F8j/ZpnHpDZnfbrUrv8j7wFVvCEspJ/z3VGEieT9+LWxV qagm+X1OiittJOfftLjCgU3mr3lT6vImsk83dwd/rSN8IGHprM1kv+f9KO3/ Srg2M1bOktxnSf5+uR/kvLmGo1F2FDgV+rLJPUSP7eMQPQcKt+KDKM0+Yhfd PN7mSGGR8LDUWgGJd3qp4b6DvA+/x1/uHid6jPQ6M93J+9ItPvlCuh8OGtC9 FkBhVppV+qo5/WB1145lB5L3cvdFu9K5/Wj/Hl3KDqawrUXmYd2CfqiOj9rR jpL3liNvManWj8TCLn3TUxQiSpcmWhmTfBG6TulXyfchGepdnv0wa3JhPGFS GA4fFt+9ux9CIhX5N1jke+KSwWvZ0w+ab77tubcU6P/8k9fgR+qtMPI8/YFC eXTrhk+hpJ6RWHdpHYVvPpFeuWf6EXxg5kiMgMJMTfqd6BckX4LRyp+adFiJ BJ2ayiH18t515ejSkdC2xCc8j+Srb1h0zIAO2VsXtI8UEb2rGgzkTOhQnrWz aH8p8ZcvyU22oGM573edXT3J3276hL+PDo9sY1mVv0RfTjR7fxYdhTt/y1QL DSD4nuS420s6ZGZSUrEiA3Dod3+9rZAOlrupBFdiANFKBuKeLDqWSJpP588b QM6h0DeVHDq6fR37bbRJ/L5NworTdAQqBXw4uZ3En2+wcXNjoPydfoWBywB5 L+WsTb0YWBwiKOtwG0B7X/Inrb3k909FKMvSi/gPPnOYH8LA8qMnXsn5D4A2 pONsfZ6Bsaoz6VlRJH+Je5YynYHo+Ienm58OoFpE+oKLOhPSx8W37n4+gEGN Hu8CHSbu+B2a2509gDnp354rGjKRZ706VZA/AFWL1oxRUya6ZWvKZpSQ/K+6 pSZcmLBOFpLQZg/ArOqv6tpLTMx/5XX56ATp96dXbsIkE897Ve7K2AiQ4hx5 zXWgGOfux3u32gkQrCnqZTpGfv869f/7wlEAmhBHRkeoBMoMRo6tiwBmYdkK C+eW4MKVXeUJPgKwzsm/3WVcAj/j20OSJwQYVDHucI4uwZI4OUvxxwL4VQwK Fkiz8HfVSemGTJLPY8Ok+FwWmvo7ax8/E8B7ZvbgxHwWEl3yPCxeChD9PCdR oMrCtI7T4XiGAKq2ouliK1lorrmSLMIWYI7VwRa+BwtFZ8b2sOsECDtjb7lw DwvX13pppzYKYJmZmWTrx4J1+rL8ja1E74ebzcxQFqiwyg+nuUQv/7xY5VkW kvRXXnHkEz3yRnFKl1gI6bi3XU0gQGOSfNfB/1jQsgloY40I8NvO10LpPgui wpy0xDEBHATmlscfsdBesNbf+w+JZ2zSacxggeGfakCbIvZpJf665yzcXDx7 dHpagCLT+EvpuSz8DwxFDKI= "]]}, Annotation[#, "Charting`Private`Tag$2768988#37"]& ], TagBox[ {RGBColor[1, 0.75, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwdlnk81Ovbx21FiKgkJUslSTiliOojHG0qS8WRLSHJiUqlRSGklSJZEqIo S1IilS3mO2OpsYytLMc6zIwhS1R47t8z/8zr/bq+137d132ruHhbuQkJCAgs FxQQ+N9/QFVohspYAx7IxnX19s6iUVA+rXOyAcs6K2a32sxCzHAsqmO6Adaj q29+kZyFgS8zqF2IhQyZUI1PdTPwysr0aRNlQWjE+dai5Bk86Qtz/C7Jgnt/ uDHddwZMJTfzbzIsLHA2FthjPgOhf3YYtMqx8HqYUZWlNgP3qqnFzcos6Dda Z/b8N40YkUbhptUs5PAXNc2WTqNyW+4IS4MF6aXFOJ0yDa0cz5p6XRaatdkJ L09Mw3nA7EPdFhZCRwPM/to/jQeqK1/UbmdhOmfS88bGaUxEfQv+uouFCwnb ig8KTKPoovnWKnsWpKxsN/Yk/cE+E62MsmAWNll+kBeb+I2rV8RjS2+y8PCI 8Oiyrt/IyesLLbnHwvWwvJmzX35jkXqiS1EMC6cKQ1170n7ju+QChcJMFnYO 2eZfcfgNr8aRsNcNLNhd7ir5XPsLd07kuSetasSV+Se/eLOmMGiUFSah0YiX J9+WOVZMYaf8s5fntRtBq1na5Jk3BSEqasjcoBET808XNj2cwsVVvuenDjTC OFjabtRmCg6LmFIvjjdi11n1BV/lpuDesSHU6nIjktax2z50TmLHoZxnInWN qHSsdXwvOIkJo4wej2tNqH6nr/X8zAQ+pnLiLwQ3wSD0TmrF8QkEiWlah95s gnQRs33IfgJSzMzSlMgmPHsya+K4cwJqTtlP2tOa4LBV6UT28gkc9n9te5DZ BDFxx0VCjHFYnD182WC0Cd92tDPvXh9H3vv8aqg0oyy/zvDnmnH4bih/K/e5 GdnJsrG9v0fhrqucdJ/ejL9DIrdt+DEK281Xbkt+acavJ1KyoexRGBrougi1 NKPgc9VyE9YohIxTpYeGmmF7XPuqzKtRhFsGe1YotOBXUOLciWOjeOljqux7 pgXvdLWUYut+IPb/fy2oatFQSnz4Ax3Z5bdrVVohZ2uQ7lM6guB4FTc3x294 F83sUZ43jN+eDfFrL33DowcT/4lU8LFuh+iM+4fvSPhVWuKTz0Vy9dNcE7M2 vDf9e7PaXQ52PlU5/npJO9xWrpQ2qxrAS1G7XBubDqRHPRKLP9GPC4pOqv/Z d+DTrci7Ek790OQekmja1wld7/uq09t6sTHcaVq4phOJ0z5GzgXdWCg9LFb+ qxPOFi3eeprdECmOf7Xy8X+wn2xXbff5Dw1jXU915neB5W4xZWLXiZO6H1rm 7e1CwxLestfXO5Cx2yWpaKILfkkBbhbh37G7cUfy8XPdCC3ckdsS14pxjsKC vuhuNMfMUw6Sa0We9U7hKNMemOr4GtzJacK1XSGJb/t64BPLUK18zcJIsezh pYt7kZZ+r8ZNmwWVtj3NKSG9uEI/2rpktB4GesFRSzf0IeqKqka4WR3sV3yd EqwnvFqhbaifCYGmFJ9t4v14qGtu7HeNifHKu10+gf0I29ksKb71Kznfjr5W q9iYHAoMfqBZg5ljSzbVqrHB/KuOobK6Bq6fmeMH1rJBV3Bl5ynWQCfI5MI+ LTaSutZlcaVqQJ9Vv7RLn41dWdf0o0aq8fPX6LXt5mzkDJ4+XUlG7/DIzdsa vmxEHHZzqt5ZjYXteU+FytkQODaym3+uCvck/f3zaWywW6/eXu1dBXFDU1sv Bht+l8f1jnpUQSimbn7jFzaUl/Gr2XZV+GHJ93vRwobzhpM0faMqMCvUD1jw 2dBZoD3WKlGFO1nxvxMUBlDy9OF25bRKzPEPPLjl9ACYlZGhPjwG3o5wp4rP DiCg4mbLITYDru62iWbnB+C3ZksauhkoP6A9aH15APSLHq+UWxgIVm27dipk ABEfE47IVzAgQtfPSIkdQJLTvhNtCQxc2nF6DjN5ACLbbqhk3GNAaOGwoFTZ AMJsLRMKrBjIvXEkLap8ADl7jmav28+Ayx+a+TKKcPg85ZTdDJT1JjxSrx6A jtGkSqIRA0EFe9ebNA5gl47erSotBgQd02z9BgegbJW/dVyCAYEXjq+6ZAcx XJldEsqgg8ZtOpW4eBAxa5PytCrouKNjqWUvP4iIgwGvv5XQsaTAJIulOIjJ eUaFpgV0aFHqGXT1QSRlbx23SqPDvvfH8+ztg1D2fb/dKZSO9yo3nlzyHISO 1liqzi46rroJOOr9Owh5ObcXF0zpMH1xUXHMexA+pcaPPhvRwdTxevzvOfL9 4jfrPLfQwYZlnHMA+b7pxoofGnTIOS6LNosm/kouu3Ol6DgT9+qubNkgSvxS PINbKeT/ibtRVk70v+Z4nGui8McxNPAMNQgjvozYyQYKN1Y6nKurJvpuqWtc v1B4nCnu8KCJ+Df6UX+3jEJFkZumLG8Q+qs+/lWUQUG+e1mVjDwHRiXFcXcD KTj8LVpRqkD4V/EOmWsUnqb9KDqtyAH9hN/p2CsUNL0YubWqHHgIynvkX6Cw Y/x83P31HFikWiasPUXBU7TuhIwJB+m8rqC+IxQ+rQsTkznFQQTPdc0nAwqb G5bUPPDhoODTwKkRfQo5V9LuLzrLQSfbLWqtHvFXQ1OQ9+Mg5vrs+WcbKYR5 z1mvFERYo/dWlSYFqzdBluujOWj+Vu7NVKJQdURW7lUMB+oxW62NV1AwFXna qhNP7B3MlyhYTkHvUOkx3SQOFowGTmUvpbD85+w5w5ccDDtIv69cSKHfwD9u dxEHti2C+9+LUXDulnSqKuEgLFHJyEOUQuvtxyv3feaAPT98RmEuhervHzIt 6MReONpvC1PIvfqryKaOA7+FM0vjZ2i4Unah262PA51gf0nvcRrGPUXT+9mk Hgflg+3GaDi18JHXCQ7Rb44q3j1Kw1HXd+NewxzkfFYK2DhCg9nccVHfX6Re uSJLdXk0yOw5oxkkxUVEvZzeQC8NSaXSEgYyXHRmf46d6aFBZ0vWwMhCLvy+ CTrLE96vzn5+dCkXSYbJi/7pouHWXEeVHau4iDkWJindQcPSq79nJ9W4GH7f cnFnOw3p4zHtOWu5KDBM+Tu4jQaqpz5eWZsL+WD5CfHvNIh83i0nYED8zR1N N2+hIdKgfyx/Kxclxp6Tac00qOYG13uDi2bqULIoYaPk4ogOU+Jvev50fSMN X+UdvB/t5GIyLSHbiLBjxK99B/YQ+b01+a9ZNPhf2yRRfIDox72pTGqgQfJn 3cB5Ky7EDl9uWEH48SkfutYhEu8F+obkehoKHTJCntgR/5mBg7l1NOxm7XI9 7MAFnZtnbEy42bzPWMqZyHmzXFYtDROGKgJX3Uh95E9sEicc8qaofZMHiUfI uu4lk4ZF6+w/8TzJ99rsogOENyo8uuTgw0WOTVbw8680lN3X/WfxWS5sU17a 2xK2mlenV3OOyGt5gVKEfSYlx7deJvFOdr++8YWGWe+X9WP+XAhUu3/YQ/he /87czACSr8FXaVnCik69Ea7XudD/E5LdVkNDZmOQ9/JQLtIVxqKzCBvuV97f EEb6wQ+iBxKurPikeec20Vd7bGxH2G7bEQnTe1xYFL4Q0SM88HZy4HcE6ffE Yil5wn6a0fQ3kVwEXNjrOF1Ng1jqxrST0SQ/9byxPsKPltWGrIwl9TArYjYQ Vos85fotnti3rxuhEc4TlzSJfELmzczB5hNh06AXKnuTSX+0qwQKCNdPmQkI p3KxIDKM946wy+me9sLnJH4DIcVCwiPswE9nXpB+4Nm9UsIBzkqPNTK58JDo 2FFDeEHzx0td2UT/kOLmNsKJB+z+iXtN6rvyi+cIYS3qp57VW9KfKqeOeSSf ou0P5cTJO6b5h1GkGuF97zaMl74n83irM2Qn4e/rmfUXP3Kxi5X1zotwIkfG X7iYCyNBNZNIwi4vrNXulpJ+SLoEfiKsdvzhV7lyLpi9XB/O/+q3qskvicaF TqGljCLpT2aXvKoGgwv14WUuVoR9kuyq3lSReqxtcrlNeGJZuyLF5MLnkMUZ MdL/whYlyqKe1DdXLcCcsP+joz6tLBIfe8XWKMIiC3vLeK1E3zD9oxaZL4qp 5nWhjcxPjHVAIOFb9zwWC3YSPnBouImwjDj3+KJekv+XB/XhZF4bqPUyT/pJ fhmDf48QjgnxLlwzSOIXq3U5TOZ9heCopCGfzB//etw6cj40J6deH50i+aav HRck54ufZ3iE85vkpxf/KoBw7ll/kXMzpF/n5WSEyXncwhewCRPmoaTnJCXb RPZPn+if7Pk8eCh7jTuQ8z4vdfcz/QU8OBsJf58iXH309v4yWR4Knqx3j22l wbpNKpm1hAf5pSHHur/R4Nyw2OyPCg8LgvdMPCX7ZdUDG37IKh4sQkN4R8j+ 6T8QGyO9hgf2XU6wfCfZh1XLOaqaPDSXhj14/B8Nl8tWRuzeTDjSVJFJ9tn2 ALct9fo8+EktFH9O9p/Q9rQue0Me9E/kRl7royHsvcYmHyMe0usKL29j0xCd 81dr9B4e6KucI3s4NOQ8waoeRx6Gx5RCOsi+Hb00Knr0KLH3flv2ANnHm23S OG3HSHzvu3f/JPv6g7T0myYPks+cv5uWT9JAC2jfUXWG6M9j4v4fGr65+Dvl hvLgo2s2toLcByvwl4n2TZJPzoC8M7kvnJf1qmXeJhy64mUquU/66s2HnkUQ +4crFuhLUBg2Xe4fG0f8c2p7biygMHfNh7iAbB7CMr8drlpGYbew99XpHB5y rCWWmihSuNOh6nLpDann+FzjInK/ycTcWutbQOK5/JNWpELus3l2BcfLSH8e tD1gr6GwgTPJ2t/IQ5KcfU+7LrnPX22WUZzhgXliUOSgJYV3dpNSTIEh+PhP 6R21piA1t1DyuvAQ9B8qOJ05RKHEfpvYgNgQLNB1I+kfCqriprNvFw5BJ6dU T9OF5ONqyTNfOwQxL/c3Ar4UTil4Ma4cHAJ9Y8zW+DgKtIr1lLbNEJTPKK9W S6CgdJpf3vXPEIzcc8beJlJgUmdKdjkNIeDD4Z3tqSTecxfzF3kOobme9crp FYWfX0OfZV4j/se19RQrKASEJAd+fzkEW7Nov4BRCvMviO45mjUEAUXv+9YT FOI8/pXtezUE5/TsORpTFN7s3ZLCfzuEgg2bZjtnSLwyteVCxUPwOPeX1gVx OvY+ERBbW0/kj0UNTVXJeyvf6d6530Ngql+XdTpIRxZbMV7KnI+IVK5jWBkd YQkhzu37+RjWd1VPoNHhasVbnW3Jh7OeuMS7SjqWf/yYs8+Gj2Yff4WxOjpu hR+h3XHhI+CatW1yNx0em2NHxC/ywU7UFi6Zw4Bq8KJdos+JfE1fkcQ+Bmb0 r8xvSif27r2cm2LJQAuvu+55Bp+8P/7Ybz/MQITNGwez13z4/ZmrG+jEwKyG 1dmQj0QezQ/SO8PA99rwJ8L1fOiEFzm6xzBQEPrzWD2LD/m5sp7byXs7ytBp bUozySd3zjWFpwzsfab11ridxKsbX96ewUChXw0jcIAPi8p17x4VMxC9flO4 JZfYk9GcG1HOwOmuxwdV+HzobzjlcIfBgLq5V0fJGOGku8r368n7XrAhNeIn H2IOjbdjmxnozDP0dP7Fh0e93vSzNgY+eqZo60zzoWzv4fuui4FHShLjs7N8 qEesGKnsZ+D/AEJEMyY= "]]}, Annotation[#, "Charting`Private`Tag$2768988#38"]& ], TagBox[ {RGBColor[0.647624, 0.37816, 0.614037], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd13lYTd3bB/AihIo0IPU0mEqDQqjkG5FKQiI0apbIUEoDzWahJE1SqVRI SiWSVELYu9JpUJLojJ1ont/1e88/5/pca++17/te096Kjl4WLtMEBATUBQUE /vffkf6iiXJrxJSCb5f0rymYH9qpIH6sEZGHwyLUz04hR9Nwa+DJRlxKkrZd Ij8FYWE9526fRoy0FbEv/piE6481kRYBjdg+/UnB8exJVL5YlfU6uBH51x31 0wMmoXRD6aNyZCO6jGJy1u6dRNumBWJTNxvB2bwnx3zGJHQl52h6xDbCasQr KLtzAnEcQYtvCY3IUbY+XvJ2Apbxf+/kZDTCZLnH8HDYBPJPsYqkcxvxTXFw 6VfXCcwz+dkc8qwRS7yClRNNJ/BxiJI7+KoRm2KXtxZKTmDL/ryHQnXEduFP eHnjSFbLeu/FIPe/a4o/dG8c49NTWC3fG2Hn0+urHzqO4vwo9WfdjbjiOcTc tX8cGvO9Cm0nGjHGUl3fOTUG2U/qVS+UGfCtyPw66jgG/9Tl3YoaDFTN7dt+ Ys8YGOfkZl9fy4DwRLGh9OYx3FYW3eW0mQFXpoP8+OIxzI7kNsyzZKDjaPBH fv0oBg1yutwvMFA9Zpi/bfcoXqVzEnzDGfBm3rWyNhhFqLDavsjLDNQ2f8y9 rjUKMSr3bVo0A7GPjWu3So5ihf2T5PZMBjaZfZZrbxnBgaBnBy0pBsaVFjm6 eI5gz5kDAbp9DLjdshewlhhBYUlRLRSbIN/nbt+bNAx/ueEw8xVNULkbp3/3 1jAMQjbq2ao2ISplYO+uiGHUGpc88tduQk+71OY/nsPoYryMLDRpgkVMmHXV pmFIDr42UD3dhEiRORliP4bgvaayQPpdE86lFmkVqA3BdZ1Cyq2aJkjesSmf oTiEg+sDr4p8aYIMb4uzk9QQ9HTXOU5rJu3JI85bJwcxbWv6vJ6eJqx1W/n2 KjWIqL3hHlUyzThgUvNEy3cQ2Se3KXifbsYQ2yVKsnYA9/7/1wx2aWamf8QA fjypvEortsA7Zm7gl6h+UDwh7pqVLdCQvtN5J7If5WrbzWLUWtAu8HuBc1A/ UrKrRKw2tEAk7Gq65LF+OGZUX/9u1gIblZu2VUb9+JNUE9Xt24IXofsUbKb6 wLtWGz3xuQXpp5fQsj59CE1QdHGxa8WtOvs6qYR/GPNoSFDxb0W94dcMlVP/ oLpl1qRr6XckdpsJjr/uxYPa1HxDozbo/JvTf39xL3akKro9W9gOt/LO4gDD HmTPOpxvZfUD+yZXi27I4sBXzl7pp80PHLvXtCIrkQM17v65jF0dOD14TbDI lIW1UfYT0z93YH9lLvNUWjck5vUKV452YLFU1nn1ud0QepPwdGniT5Tawjpg 1W809Hemaop24gBnSu3N+C8cW1faPHtnJypWtv3OsfqFHBPHlLLBTpzkuP7a XPYTJo1bHrj5/EJ82uwCo6cdGODIzP8T+wvrk2XE7rt1oHDfjukx27rQNWIS R2u344JxxP2CP11QC4iud5/7HX/fLDiwWOo38r0XekYHtUKxzbQpLeI3ih0H lcKXt0B3Q3jM4jV/YKzQ+kHAogk2/30dEaz/A27yW8tRuhECjLST+nO6sff1 YMCQXSMGPl7vPBnSDYWAo5nlrt8QJ2TnbbGMCUudmHbbrQ2YdFqoTa9gIs/a 5rrO5gY4v6MGdqswoSle+WGhbgM0Qw19d2kwkfJsDatVqwE1U8r+xhuZEHH5 kR+q2ICh0b4Lm82YUJPu6TcRbMCBv5evrvJmQnldrG1pRT0k2gtTp1UycfNM EHPurnrcEAkKKqpmwsC5PVzXpB5z9LYd9PzARKWB+eix7fWYFlcn2viF9Hf3 63GGfj3+7eX7PWpmolw0yYXSqAdVpbx7D5+JLre7c03F63HtccJYkgwLIluu tFo11WFGUIilzikWxnvm/yk9UYeCv9yRN2dYcL5hq0cfq4Oz68H7RmdZUGCd ZDPd61C5ezV7XwAL3toylvJOdQhXartwIoIFSrTGOMuqDkI1G3PS7rEQWFBr sWpLHfy3nJpBPWBB+tLMiGMb6zBNoldQrIIFz+GwLxypOuRftM6MqWShwVv1 wk6JOjiOV5stec+CX653wOP5daj4nXRXuZaFk+na+/3m1iG0eKe6YSMLNoHn Q1QE6yBol3nQj82CJVfPboRLQ+CR3dPOBWyED7jomVXTqOYyTtyXYkOt7XlQ xTsa1zT3atgsYqNrvrOj3lsaC4sNH3+TY+NaeNt87Vc0NN4r59QoszF+vrNv Rz4Nm9//Mp5sZiNPP9iBk0yjRPFisr8HGwqi0yyX+9M47yJgt+E4G4tKaGaP L41tj87J9XuxERckMb/Uhwal6Zl43IcNSzMBSetTNJjYG+8QzEZwlXhXiTsN abslsUaxbDRpntP9Z0XjdPzT6wsq2OhtN/Yz3UijaDz+YkUlG8z6s1tPrKcx bhcZcvo9G5JHWX4x62hcXGrrU1fLBiXWrczUpJGYO8f2NoON9NTDl3NVaFSV uagt4LFhEH2Fl7WExqJfSz6JL+Jg2zLfQ8cFadhun1X1VoaDgyzX721TFFIz /5WdkuNAUvRg2Z5JCmqeH/JpJQ4cZqYn6Y9R2DJwNv6WOrl+R2HZ2gEKHrPq joobcqDJGNO6xaLwWvWSsPgJDhriExTFGiisb1j4+fZJDgoWXPH7UUchLzDz luQZDmrutTfk0+R5n6tlFvlxYGwakmj/lcIlrxnq8qEc+N1Vsac/UrB4HrpX PZYDYU2nE1IVFD5ZL5B+GseBd6j90My3FLYJpbZoJnAwHN0bPPqGwob9b53W pXDwKudBTPdrCrJDUz562Rz05o4XNpdQ6NYNijcp42CZxECyXD4Fh18i9p/K OXBfOCm6+hmFlquJS3e940BWme+3NY9C7ffS3D01HCirO23xekIh//xomVUd B8HvbsR0ZFMIrPD95fKHtBsaCymlUxjwmJXVzeQgq+r+vH1pFE5I3PU8yuFg 44EDCyJTKRxxfjHg2Uvqp/Fu/G8KBaOZA7O8RznoWvXN9mcSBXHT02qhYlz0 6y+U+C+OQsrbeXN1xbkInMUotb9LQVPnMeuvBJe8b2g/TYulYK7MzDiymAuD Vk/vNXcoXJlpp7hlGReebqpex25TWHx+bGp4BRfCGVud3tyikDUQ156nwkVi sN59KeL3XfUJCqu5yJrhy6uJoiD0zkRaQJcLd/PUZtPrFKJ1u/uLNhGvtJj+ 7BoFpfzwei9wUW645vRiYoMHb27+2EaeN13jv79XKARd0J77ZjeJp7LmYekl CoN6igLnXbiQvfBB5XU4hYjnZe3a7iQ/uu38DmJJVZvXPA8uwtk/JRrCKKyV uetve5ILG2+v8b5QCieHRQY2BXCxrTWtzDyEwpRXdn1/EBe5EjpzOMEUbnTv yM8N5mI4TSP6MnFuY6iXbCQXknaD1p8vUGAVDLPGbnKRUq9U7nWegp9abM3z aC7WaXXx5IiF09dmHovlIu5CyIEvQRRWRJ9wbk3gonJkPkObuHCOiGF0MvFC 5x5uIJlvoY8Udz4g+c/Zjwxix1Nd7S8zuFDWargmT/yXGfL69CMyPs8qL/0I oBDsIJ+4KpfU5/7C1w+I7+8+fCj+GRfFOjmf1Yg13g9tsCgg/V3Z/WjAn0LZ 5jvSc4q46IiWe1VO/F2dqj/3iow/fyrClvg+Rzxo+hsynnI1+muIHR/tW3H9 LRdmKW2dwsSsZQy/lGouvGsH+krPkXp0LlJa9YGLRQcD7OOIT6Yc/vT8E6nX 5L6is8SDS9rl3lMk/6oZqjrEL5vl3++pJ/X+4GgkRxx098jJlm9cNDyV2TWd 2GB/2mLnJtJfKX8zx4/MF4nfFbwWLgR2pS/5RvyeWuHp20bu7x7tLCe+csNd SrCDCwfVFzFPiM3NssuudJL8W+I0k4nF53DdJH+T9kaXF1HEDe/VxZO7uZgv 37E8jDguwuvlSjYXlt8+nvcjtjZ85vSMy8UyHVa5F/F/gn0ienwuNLMnOe7E nWXrXlT+JflkfplyIn4YeNbevJ/Ui5IddyB21y0Wbhrk4trP3A57YrXhkWdH RrjIK9n6+H/t/EI9a84YFwf3px753/35Z4KEfCbJ/KGiJtyIz2q9eTwpwMO4 69fgE8Q6fAGrS9N52HRmOecs8XjuVoEFM3mQ9DqwKYS43CP8UYIwD7l9K7yv E4cpV1ssn8uDZon17QRioz+zxp+I8lAcWxKbQzw73eThxvk8pITOCHlNXHvk qnnFAh5kbwvtpYlvyn8e2inFg+VIwMxu4n1tYg++LeTBb67Wg0li6YQ9pvYy POzRZSksIuPVcvB2H1OWhwZpj4i1xA4NUkbjijwEF34f8yJedtuKH7GMB5G1 h0VvEXfvvhc3byUPrxqKphUQn/gky1FSI/mZqcVNEWtdtovJ1eDBs+7rBmUy 3/qNUvTXa5H2Ns+XFsQBFUtvmqznoVfzidtj4s3BLjr1G3moleu41UY8bXNm p40eD2aMFcnzyPy/VLJK+6QBqef2eTbniGPztFpiTUm81TJuTmQ9HTpxJkxh F8lnpDwhlVhWrVAtezcPWeuK834Rp2VuvPDakvQv/9L/GFmveclY1mVHnl/d f+kWWd99/n2zjhwh4xHCVm0nXm+VyWlzIvU3aohXI/tD6bx5zxnuPAiVFLR+ Ia4Obt/y6TQPeflCXcpkvxG2vb3c2IeHbWcHOsKId+oYza7y5eFa/OasDmLq 72OqLJCHOG2xO/fJftXqGGSfH8mDwKBU5xqyv/0HLcPVl0l9t2xSSyR2WPJ7 Re5VHpaJrsCsCAp/6s16Ht4kLgko6yTu3SYbdC+exLfupdzTixRmriyND35C +hNfszbpKgWT6V7nJ/JI/T+Y/lMi+++1H0qO/s9J/EfEfbOJxeOuqHgX83DJ 9Q9VRvZv2dmHi90qeLi55Gj5ONnf13CGv5k38pBO/3X+HEPB531uyacmHoYj j7p7kfOjOM0hybiV1LMjWkOCnC/6NjXOWzt46DLcPs2BnD/Gn+/2abNJfKWC FWLxFGyfrheXmyTjmXTcv/w+hReHh8UogR6su/f78w1yvonNfCkSNr0HvUH+ mvYPyHqw0RdmCffAeIWk0kxyPirN2TZVINGD8PSyPM8MUg/nvTwzlR7IDiuY Jj4m80/G80OgZQ/mf3z3O4yc59VV6u9XW/VAODD+aXQZBflT/MrOQz2oTLoX 8pCc/9T70+XG9j3wS9XT/0reD9b4nCuS9CDx6EFUr5rC0NfIh7kXepAyuKHz DHnfCI54EPI9m7QXHx90/0VB1HeW6ZHHPVgmpUSndlGIdz++4M/THmxqVj3W /pvC8506afyCHnTdu//9MJPEK05XTnvTAyr4cZ47j8yPZAFhlfoeKHt1jDKG yHossr/hM0by+S9ZWEiMRlpW1YHRiR449+0L9ZlHQzNeVf6CAB/K5jdeMOfT MAkaenppBh+ebeO7GiRoBBpG0Qnz+NiU82pd+WIanV/LJCuW8iHg2vuWvZzG Y6ZcgpgZHzY+dj8vg8alpAiHdnM+AgtdfjptoeFswVv+ZC8fWTq7pxsY0pB9 9SpvlxUf/SYiuZNGNK5EWVdfc+RDSFX02h1zGu7r7/2dc44Pg5hYWxU7Gkrh ksazMkh/vxJnM8/TmNwYKMrI4sPMQo03I4RGM+9XXUYOH86zJrjLw2jctHpu a/SMj/DrRQaeF2lMrbI4E/GKD80G3toFN2l8p6OSp9fz0aX2ctm7BzSKI4ec 6r+RfFUyiqel04jRs1dJayLxZm503ZZBY+dDjYKt7Xw07Xoq+iWbxku/zx9C WHz09gVdHn1OI1ZdO2ovl49lLzf8MX1B41RnoqUin49rbVbWScU0lM08f5T3 87GoUv2G8WsaQoIN6TeH+FBYemfngzc0Ogr1PBxG+aCkqxXGyffAK4+01ZoT JJ7Ke6KHKmnclZ87MDVF6u/NEi8m3xP/B29trIM= "]]}, Annotation[#, "Charting`Private`Tag$2768988#39"]& ], TagBox[ {RGBColor[0.571589, 0.586483, 0.], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3lcjN37xyeytNJiS0kJaSEqJPqIpAgtvkJ7ZA3pKTJKi8JDovgllYSE lHoqKlq0F6VUc8+0SNI2yz1jadX2O+afeb1f577PtXyuc53rVnM/Y+sxhcFg qIoxGH//hz3mPWT+ZiOO6vzwu3US79f5OLwjrLvw+9HKmklcicuW/zDMxrYv Z57+azsJq8n+as44G3IhIXpdMpOQP2QY3DuFA4srOz/dZk+AU+G7fnAGB6kt /oe+P59AgtYbkbgMB7+V7IK1AydwOGIwWUGeg60jm7zFDkxA69daZ/V5HIxK BqrdNJzA67ycGqhxsFayUCmvfxxMleHLu5dx0Lmh63saNY7NweuNnbQ5kIiq 1O/LG0eNRd4LpiEHJZYFajcuj6OL/fbKa0sO7KMyjkYtHkeK8eimst0cJJRk hJ+WGIfXQ+OBBjsODOJvlTf+GsPYkfxDP5w40C9ulpCrHIPiYMFmbW8OFrGj pl3wGUPLgYkho/McPAyLk37tOobEApN0C38Opl2vtTPdNQadsCKVI1c4kD1R PWi0fAxmisV/EmM5aKQO/GvZPgqfNWXZc0s56Jeamhi9bxRHDBYnRlZxwJ1+ tHbOtlHsX+t/Q/oTB80+k7vL9EdhvMHAfUozB8JK8/fP5UYxZUvSLKGQg+jO hqQjdX9wyyb0RLlSMwrFn9qm2fxBipfZYh/vZuh+0FG+f3IE8d6JUqLzzUg5 MBI+6TSCmz5jg8cDmpEv9S2faT0CL7/sWpdrzZDclstKMxxB7P2/v2Y0PPYe 3CY9gnVBGhd3JjTj/YjR+BhjBGW3xCn1D804uDgyZjh2GF9fld34rNaC3Nbw 4oSWIdTT4oI1y1sgxyp6alY3hPc626zu6rTgGFO6c7B0CIkp5dL261ogk+tf G5g2BPfkipttVi2IenPpqmrwEHoeVN3qPd+C9lTbNxe0hkCH19wZr20BZbH0 Z0PoIELi1Dw8nFtR1/1B+Ch0AKMnmuJWMFsRWuyg42I3gL1rnSJXBraC2XN9 B3/HAFLFeq7oh7YiwjjgTMCWATjHDJ3dFNGK2dVayVmrB1BcrmRh87gVqqYS eUdmD+DqYrd+vw+teKhuffzrp34oULRVlVIbOnoXyXbs6Ye26YyJI+/awFh0 PDDC9Tce1TzO3Gr+BcMmDoypz39h+2O1o//Na4e10PJSeuRPpMw4mGlv/xUv vWLn5Kv+wHkVF/Vvjl+hcWn4nt2CH9AR/E+KvasD8/1Kqhc+paF/y2V8am0H mHvcvjWx+FCY9WNm2Z8O/Dg2TUFnFR/iRXHpS+K/QXZL5cEf6lw09Xc+1pPp hLyR0b6kll6cNHjXLLGzE40ysgMzl/fipaV7YuFgJ9qOZ5atOtENS8r00VHf 71i+LDid3tqFAb7S7J7o7zhoW8ZUGfyO13bbp94164K1v/yBgvBOBFqEPczu 6UJZ3slph12+4WeR/L4Fc7rxuEF0dKX8N6h92cF5EtaNxc4eU7/v68CGdaF3 F6zpgeJv6+HY9HY4LqobEWvsgVnyk5E1Ul/AYD/x2iTZC97NxOHC8DYMfLjZ 6RXci82swGDqYitixJ19bDX6oGnkoB+wvgUK7a8fTynrAydey1dreTMipAMC cir6YOU//3CXOqlbY7P9ntV9GP46aPdoUTOmxDTIUJ/6ED6zQF9jbjN+2Yj8 XjT3YcxWsmPXtGbUl2vusRb1oa09x0avi4PwtLjRB0pc+LRVtukkkXMcELzX 6CwXBlkRjV91OMj+KRgp+ocLV67xssgVHBw+sv+h+TmyPuT0y4z0obI9q3h2 F7nwUpg2kKXKQaj6l8DTYVzMXyUdnU76mnjV+pdP7nORJFzZrDzCBtP07LT6 R1zsnaH7ZomIjSkKP8RkS7gIXVcuVlPJRuZVh2d3y7iYfeZd5McyNtzHKqwW VnLRta7wRm0xGyXdD+5p1nDBmSGdz3nHRkjuTt2tFBfDKpUM6Qw2xJyf7ffj cWHh6pnVHcMG44Vzeqc8D3e90yLcPdmoELBPP5zDg//BhP98jrMRrmez0nE+ D4tDLe//e4SNeblb01gqPHBk72S/c2VjZaXmyypNHtqi3KVM/8eGY/ev5Fcm PBhwDhfWmbCRp3Y1gXmChyrFRM8RBTYueTCc153iQTHuwrxDcmyYvbig0n+G B43wAt86WTbq9TzjT/kSf/7v1I4MCTb6YBPrGsSD4E/rtqhJCnOdF0abR/NQ s3ibHJtPwTs2/aZ8CQ/PwyRPulZQyBmLvVpSxsNYSNUUrTIKY85Xgr0refBJ O7h0sJjC1SVOvg01PDSdV5OILqAQnyrpFMXmwbpuj0l/NoXyQg8deZrEK54+ vCKJwvzvCz/KzedDelZd2PlQCk7bZpQXK/FR/5EXHRlC4fGzX4VnVfhIUgzQ eBVEQcezOvOzOh9eMpZZQn8KpgPnYiN1+XC943Hnpi+FEzMajstt5SN7ztNx 06MUCrSvzZQ7zce1yMthIVYU1jbNq43y4iM34nLM9J0UMvyfRSr+w0fXixfV 4ZbEXm2F0nw/Piyc5oY9NKdw7cw0XdUQPhhvNtm3b6ZgmxVioxvNx7GWFNVi Qwq9GwJiLQv5yN98nbFAjYLrd2mXj+/5mJmUsq5DlULLjfglu0r5cCxND3mx iEJN27tU6ypiP1DLbosyhcxLfwrtG/jYH7KBFT6Pgn/J+e8ePSR+A4kFYbIU 5HZ464TICpCr5BXMmGAhsXiW1AY5AZpaOrv7x1jQM0rj/lQQ4Hm4bQZ/lIXd mn3JbgsEiDdN9e0YYeH6dGc1Uw0BQqMFOT0DLIiXWs5lbCDr2keqPIQs3NnQ 25+zUYD8N0zXIJoF9czQxjMQgGH73/4HAhY2Pyq6/dVMgESR4rF2HgsBgYZS RXsEsDDJHPbvZWHQWI1xyUOAxXdqIrW/sRCWVdhueIz4+2uPmGcHC4rajgX0 CQGCGqw+vvrKgr7SPaaTlwDSGXtOGbez4DUsPbDxogCunTVfvVpZmDyT0tgf IEA979SCshYWInq3Z6YGCVD1uCJlAeFUKuSM8hUBOhpNGz9yWOBmD3NHbxP/ XrattqJY8NOJrsq6Q+LZlaOayWIRHfSfnYwWQJl7x12J8LI7pw+3xgkwVjTa /bORBfezXe1vkwUIt9Rtyf/MQptufeOFfOLPVqFuSS0LD/lyAVOLyH5DOgN7 Cbu/sFt2s1hA6l3vPbeG2Ndg+yVWEH93XHBdQHhwYbtKZb0A2RZvSm5/YOFt s2qldaMAOlKlifqEA+65ebWwBBgu8g/iVBM9FLpL6Bay/116qyZhOUnBUcVu sn/C9cavlSw0VerKJfQK0JVRmhNFOCbszNvlPAG8jsfGbSe8SOy3tLFIAPF3 C91yKljoLDR4U/aT1IOa2RZvwk/9z7ns7hfgdvU09VWEdYZH/nMbIf79tml7 Vc6C6LWxA3+U6Gnv8OYs4cx/AsR9J4g/haM31xI2EjHsr02locxiGFaUsWDe M2PslQyNcJNFDuOlLEgkWT5dP5usizqU6gnXuN3YXSJPg3FnI5VE2O6L7CPW PJrMXSUmewnPjbPe4aJEI8b0NH8l4Zb9Ub/7lGmIn8yJkiLs2jTHfEyNxnDy svoPJSxoRNmLwjRodLTUeaQR7t1zP2bWcvL+SeWBSMIpMq2m91fQeL/pU4Af 4dMflfnqOjT87Z9NuhJe/a/z3dSVNPZ3HGfuJNxvnrhp7WrCahx6HeFc8c6e In3yfmj2gWWEL5YsuW25lsbe6OKCuYRNgjyMGteTeKaWLJAgPMXkWaejMQ1B jN+p8WIWykf7bvRsohG6/Xnub8LX8rQMvTbTsFBVHOUTtjrv2T6yhUabTaBB D+FZhq+uXt5G9luTdriTcMMvkZ6MBQ1rfbcbHYSjM1a3RO+gcZvn/PwvHzj9 z+XFu2g4ypx49/d5ZZ3XOil7aBh4m5f93a+DO8jStyXxzs4tERB+8mx9YMFe 8jzj8pt+wkc8mJrb7WnkMk8+nCCstST/c/0BGhubDQMkSTx0xzjzoCMNs+jk PfMJZyRAo8uZ5MMqZK4m4d/M3zPc3GhYXQ76x4jwWvtn/C+HaGQ8GM+wIuyn 71B38AgNHbGST26E382alcU+RmPx6uiav3pM8Eui956kkf9pS8pfvTZXnWN+ PkVj/f3bR1MJVwS1m370Jvqa6wf1Ep7pFLXUwpdG4ial1hmkHnYamUuUn6fh eq1CUYtw/c+0+kJ/Goev3V3iQ1jhk1u2cSANPVgOxxHelzInJjeYRpUVN6Wc cKt7gEvmFaLna/kXi0j9LsLqrav+peE5sap/F2HXhd3LUm/QiGe6KgcS7mm0 Ej69TfTV0ZjaS1gzg9Ggfofkb6NVsQo5DyfDs18//D+in/5/DvsI/zBTDrgf S5N51lGjlrC+Wr3r3Ac0+nSMbKXIeTs3ftnszkOiz2SAw07Co6/5UjeTaDTl nZqsJzx9+bvYoFdEL7elV3+R82w59cyl8QwaYztDr6OKhfCv6u7MLBqa2s+P RhCWi7m+wieXnI9VZ16tJv1CWeJg7tESmnyH2R2LIP3FpVsmvquM5Nt7jQGP 8OPi4kC3SpKfeRs42z+ysJy5YrtDDfHPb+jZTNKv1vCHWbspondHvGsi6W++ lal5HzkkP9/W9El+IufjiesDi1aST6aj+XnCmxyrDm/pIOvTH4f9r44Fi9p7 vw15NGbGBktqkv7plL5WTmWC5Ovn9ilLSb99c3BYtp4hRD0r4WIuYdnpb6Uv TxXCP9d44W7Sr987bprJnSnE7H+tawLZ5P6RNJvMVhBCT2+laKyZ6HHYhrZa IcQxrXNTnMn9YTJbgT+pLUQTwksVyP1y711TX+ZKIRKFKs8+EraQ398134DY y6poMu0k/aHIubXLRAhP59zS7d2kPyh5VvvvFaKvmJ+fxyf1V65bucqevB+3 7nokue9Uz4rKOg8IYX3l4LmT5D6sr/R+b+EiRNs105SlIpIv3ws5iieEWLzO lZn1i4WhuitPUwOFeK+Vd93gDwtBYY+C21KE0MjX5H2QpCBzfsYOtzQh1r+Q XtooRSH22Cn5nnQh9kclr/kiTSFrp9ETUTbxp9WmfJDc9z1yn8umFJH4WZ2l 5OMHOxMYM1c0kngTtMVWkHlhbo5LhO8osVda7WC/isKT5+X7/owLcduNHX9f j4JerLZqIEOEaxeZL7+spmAZMJR+bZoIfnJdeicNyHyx9dbnuFkiHJOYZMcZ UeisK1QsWSJCVbG/r50ZhbQ+lThZKxFCNTd2KTmQ+edBmGv7bhFmR6g0ljhS OGxLL31lI8LGdTtHPZ0pKOfnZ+yyF8FrQelgpRuF67ccKsLdRZi/KftuzDEK x9be/yl5QYT4knumSecoqIcqWsxIFsFg+qFZh+9SmFjvL8N+LkK/WFG1bTSF Zvp7Q/JLEXwmvXK2xlC4bZ/lZP6fiNS3uo5OPIVJLdt/wvJJPBlNvvPI/Nj2 +VbC1EZi723BIXsyX+ZeGTrUyBJhfcATk+NvKNw1dlnxhCOC2bdFOwJyST6f rsze0i7C3QLtXy/zKbz1q60O5oowFvEneEk5hWhdw1s2AhHC5blt5pUUznbG 71UTieAfsvCoZzUFTSvPr+/7if1lyTMLaymIizUl3R4S4UfeS1VeHYWO18Yn XP+QfAzv8ZjfQCH/xJNVeuMkXz+PN1s0UbinKjUwOUniba6/eJGi8P/7B2jA "]]}, Annotation[#, "Charting`Private`Tag$2768988#40"]& ], TagBox[ {RGBColor[0.915, 0.3325, 0.2125], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k8VV0XB3BKERJCHqmQikgSpfHXoFJUSFHJUJRH0kRknpsoRUIiQ6aE pEgyPabSQESce5GZe8+9knl89/vX/Xw/+9yzz1p77XX2kT972chmDg8PjxQv D8//f9dKd8zGRzbBpsmHujM4i83eim56MU2YZ90d9sR6Fkq+3ucrEpoQc69n 8Jv0LGT8GYa7U5uQZfju+5zWGQgHau8oyGiCu9zwRomMGczcClPanNMEtYpT Wm98ZzBwZ2Bx9vsmZLMUtbacnsHve/qzqkVNcJlYqpu5aQZlD/gaFD43Ydt3 yUi5oWm8e2hZ8ux7E4piF1Wa/5xGSmhBuvTPJkQXR68bzp3GvSeOfiJtTdDb s8LJzXsaRrGd6hPDTeA98cmseOk0dOJ2yTpNkvmUUrN38E1DKyGaf4CnGRtk PFMP0lOQTjZu6RJqhpJIU1978RRaM8ru1co3oyMtI3/DpSnU0HxsjTXN4An6 OHXv5BSKVffph6k24/gbU+NN+6fwPK1c2GRzMyRGq0rt5KZwNqkimKHfDPFR 3st/GifR/azqQY9zMzJ6+VLVDCdBB30Jnf7ajLAZp2kJqwm0VAsPmdc1Y+xh UZ3ksQl8EzxsXPyrGe+54Y/U900g4/ZXCb+OZpwznb34WnkCV/y/PRYYb0aK ptaB2r/jGHKrebJYkYJbe0TuiqBx+D+Vt7ExpyCrmNDTITCOSbv6p8quFDKY QfG2n8dgvOnMQzUvCvFxfVpRRWNI5+0O3OhP4WMwx+RXzhjMI0av7rhPgbmc fnYzdgwl5TK6hvEUsrqKyvScxnBLzmrI5TMFI5fzUiIrx7C4gdavkmHAZFZ2 /vrAUajs5p85/4GB23wllcU2I8hKe7nmVzEDZo7urzzMRqApYWB4sIKBTawy yz3HRrC9JyJRpZYBfOzgtu8awZHgtXoD3Qycq/CY9pQdwbWmwxE3xZmwi7vC I/VzGLFf4rP37mciLn9R2Hq/Yby/GqYR9C8TvhL03XN6wzgQL3/h9ZIWJIY5 usodGkIa/6lsE5NWRGjtOCyeNAjnZRYKv81aYW+/K646ZhCq7ONCjYfb0Ptc aK3Ghj/Y+MBieu7XNvxscN54R30AixcNCJRNtEG2sn7INoULvqKnmSujf0Ov JNvn2AUa9UPt8eoL20EtsZX2mWXhouaHpgV67XgeZeObtJWFlwfPPi8caQd3 U5WPn3EfDjbsjrvg1IF0NXUbt8W9GGbJiHaHd2Db3ejc8MIevD12YG6YTica yhqU4zS74aUbEJvT3QlV+VVflrA78adI/MQ/kl3Y82dIvPlJJ+SZh34lBHTh y1H7Sa/qDmzd7B/2j0Y3PN1Gqgtz2mG2/Ps4b103NHY7ON389hs8jQlXdgj2 4GRKw+mx278x/Dm4/YpPD9T1efNHB9sQwWfuaKTYCx4lmX3ndrVhccvb+Dll veh8FDDFY9iK+8IeHrkVvRC489dgu34rBLfpmNp/6sWujaV1rgdaMSfix8KG b72wl7lsxbuzFYOGXJfUJnK96LNbmiqtqClXOmrA7cXAiMlxjfmtCHr1dPKZ TB+UHlkUBBa2YJ6Hj/GWq30YcDHZYqfdgpw/7PGi632Qc6xzzdRsgfV509j9 N8h4bMLJUfUWlB1d33/MrQ+JfuL0feUW+CswvRwC+lCWM3qaKdMCvirtlwmR ZDxS7ffINBOuu6/Oq4nrQ/c/kffTBpmYs3iAV6S0D0FrumulK5jgSTXPbBfv R97fS5cmzzBRwW50iJXsR8rLrMq4U0wEqRuqmUn347m55UI9EyaW5O199XNZ P0wTwkyTDJhQq1R6WaXUD93XOkyvvUyYdQ0mZezsh/cuZ+lCZSbey9+KcbXr h6zjd9VzYwx42vCYb77UD1Glp9U2wwzopN5cNnS5H1PPfu+5OMhAjbp99CWn fphVPs7zZDPQC8MoS+9+WMu/yqpsY0DKfGn4/vB+fNm89vjvTwxci8oMFi/t h+LthnvrYxjInYq6VVpGxgWOXIp4ysCUeaDPtcp+REi1T86NZODWyjNOP76Q +G6eWt4RykB0uuCZR439+PXJya7kDgPlhTaq4nQ/wsR9M6edGJDuWFotJs2C 438r3a8aMHBmH395iQwLlmVhQuuPMBCfPFh4dRkLIfwu2lw9BlTtP2XXKrAQ Yfra1vkAA7uHb0Q9XMeCqVWJZPJOBuz4f/wrtpeFMscPW/zWMfBR5baAmAP5 f9G2qyoLSZ+oX/L10RUWbAt3zJoJMZDlnvxQ4joLOjqilSELyHxfK2SkXVjY fjF3zuw80ncuz1u3wpcF7d9CciMzpE+98TVcF85CvadhwpE/FHq2ekQdLGRB XzH/ZFIjBcsOYYvqYhaKx5SvL2+g0HwveuXh/1jw79H5EFFP4QvjQ7pBFXl+ 4ZUNobUUsj0nCk1+sMCuklmXWE3BvdS5w6abhfQZU8l1xRTEDl1T9RVho0a0 25eZRuF5ySKhrWJsZEneyPZKpaC+5VXfn8VsKA4FnFdMoXBEqTfJ6h825F7c PuX0gsLd+ebyuxXZUFdtOa/1nALffweleLay4S2TnLsunELo1p6h3O1sMPIN ZkfDKChk+9ddBhvFIfLlZaEUdsUVhbTqsOFyPu2TzUMKHl5aQkVH2die5vWy PIjCyDZ5Hk8bNpTyVrlP+VEIeFPYomXLhuWjuS4cXwoSKmYfaTs2/Bt7WO0+ FDbKPHE9c4WNMXrP1jry3rgyJjy83Y2NPO3P52vdKPTljPVNhpD5H8xL3+tI wUU1vOpNKBsGuYmTZtcpCCRuTL4YTvLRavHR5RqF1aEO1tRTNvi63z3OvULh 7NXOlvwkNlI2fnlgdIkCY11N3c0CNqKjzp2cPk8hliXmMbeIjaCS5AOHiM+m HlsdXELuJ5dpFGlD5ldsdHleQZ7vT8fHHdYkvqUtyypryPWGw22xVhTym1ZU GtSR/EdZvZq2JPl4YnWl+Scb0j2Hw84Q8y3uKqWb2dD5cStrpQVZP0H2BYku NnRtsmU+mVGor1wnFtPDhpnK0TebiSMCLuev6WeD55qGdcppCst5/wpv45L5 orIXhpyioDo2/tpqnA1bW7aziymF/d38UxkLaRScOm3/ypjCgsSDL7RFafAJ JdnuIP5ide9IqTiN28w2l+/HKBxjisT9XEIjxFWqftyI1Ge95P4peRrsj1IO FwwpKD4y4QYo0nged2OOAHHP0ciIRWtoqD9OTUkzoOBQLctSUCXjXe7KI0fJ uaB0ZcjBTTSm6u8PvzhCYae3zZY6bRqJzG1iJsRzdia3m22jsUs5Zbsg8e33 a7Wu7KLBY55bcuMwBX1n+5bxPTSGhBtl1IkXaWXc8ttHw/pupi9Ln0J41obm 8EM0tEUCPWyJTzpc95M7TENnhld0LbGs6lvVtKNkPEQji9ajkJCs7fXRmIb3 VIa0G3FWDBQ7zWkIPBH0yzhE4a/rX34rKxqdi/LMfYg3mSSzmOdoZFm823CC +MOiRW8abcm45LuCecQzrNJw44s0lKR3ObYdJPVfdcO19hKNKiVVhY/EFd4t u6uv0ZCT3mHpTixw5tEqXSca6VEsrjmx3pb9C8qdaUhfX+S0l/i+5AR7tyuN iPJLXGXimj+vagrdaYw1VJuLEy/+ZpWzzYvGL2Fu6ZQuhRNpkhF5PjTC6Oil fcQRgZ/ctPzJesg9tW0kps56WGQH0tC1z0ytJF6ODXvX36Ghmh/b8p7YcmnX 6vR7JB/iGvwZxAmjEYLK98n6xaiuTCTurtPnvAihYZpyXCOaWCmL54dCKIkv 8rpmOPHFoJy3sY9puE/rKz8izrC1jZSNoHHFM0U0hHhAR9YjMopGWY9+/wPi jfI1llLPSP2t4n33kPjGtJ9OaCzxnqDrj4nzmjYricbTcLF7q/CUePItSyg4 kdRn/97/4ol3PorlLkgm91ebNU4n9nY4VheYSuIrzWjMJf7vEH/u3HQa9kYy euXE89d8iPLOIPG+XJBZT3xw7mXP6SySrzydud3EQa0KZ13fkHq7FXpgnPjb h4Z9o29J/ewpdBMh+RaLuKvsmEdDf1Nw7CpiY8edC//k0/jyrSp7J3G4weDA pY80ZJ9seXuSWHbBqbwLpeT5/JiBj4ktuhZGd5bRKDaLP/6OOL6kxMuqkuS7 pki8iXiNq/KB019I/RxWNlEk9WR3grn21zdSDwICLfrE6RoPRY7XkvuXWBs5 E2uwxn4eaSBmFc75QexUmf6++hfZDwsMds4h9ZyXYPlMl6Jh6R14XpN4h1mV 9Z42GqIqwu4xxN7a7rpF7SQ/8wdsG4hLJdRVt3fRMLsTv1uU7Bfdr0/+avWT fKjGvL1DfDdVrzGbTeJnuxt8Iv4aMJu/nkuuf3y8QZDsR6OdF3yVh8i4tnx8 KPGZzE1iy2ZoGMdZahaQ/fzu1JhIDQ8HqtYabDHSD0Tm5wv7zeWAUTzb8S9x sdkOgT4BDsr0/B/Jkf6hIKgzm7OYg3SR2Y4U0l9c386bviDFgTrjRpgo6Ud1 lpUTMv9wwI5k+LoS++ceGvFezsEuTQfp46R/dVsb0vrKHPhvjlyx6jipF9HF rFkVDhLfOOTFED/5UN+brcaB5axasMwJEq+4aae0JgcDIVf7pE0opBWZU507 OQjyEz+vfpL0Mxn7T+7GHKQIsbQ/nyH7uXxd5XoTDmpK/ly7QL5zVlzllrWf JPNtn+qcT/p3TeW1Yl0LDowtlK7ok/6u4XQzV8KOgwjbLbKDZymMfg98ke7F QfTrxPBkWwoGbroJFr4cTBk817T9l0LKasE48QAO7JN+z1exo3DKIzja5S4H eS56B3IvUihYGxaq85g41XxDvwNZz4A4H0YaB4pLl7u8d6Kw0Jn/kNUrDmy5 lweDb1CIsr0k3p3JgcTjcWNrZwpv9LYkcHM4MNOZqZW6SfIlVls2p4iD24ZN SY/cST+K4RFQriPxrIwM6yLvZ6lci/tOkxyIbrisP0re7wkp5Scmpsn6aRQ6 Czwm54kolRVePFxYq3wNWErOBwc9RjNvz+Ni+3u/gwciyPlk74Pap4u4CHld Yfc2mkL790KJ0pVcFCfHDLDIeeNV77KnIvpcMKpNuMXvSf9/FmDZcoSLmrXa c7U+ULA2oldlGHKhrmFj97KA7K+CgqzDJlwoptVsiC0i9fngdEXQWS7kBlbH xpdTsN0U+UfwJheJnmoV0j9IPflL6PIncaFvFPy7mE36tbb7wkbyHeXuqzvp yaHQRHf8SHpJvqvUZq0wQCHE5M2Z/a+5qFJ+Lln5l8LsWqPrAQVkfldf0cEJ cj6ofRAzt44LAb0OlXfk/JcXOHqu7icX0i1GsxHkfBi2zUI54ReJb3mDrCc5 P+q9UMvZ08LF87vntI6KMZDv8vWTTx8XLgHvGoX/YSB8ndYDQzYXxnUtI7xL GbjaHm0sz+VCtf2d+bgsA0r69q3FQ1zoXK3k58oxwMdbnxgyyoX3YIourcBA 29ttdpYTXNzeFFRLKzJQYJewXn2aC/s1++MHVjPwZIXQ8OwsF6ZNL/OHlRj4 H5GX6ik= "]]}, Annotation[#, "Charting`Private`Tag$2768988#41"]& ], TagBox[ {RGBColor[0.40082222609352647`, 0.5220066643438841, 0.85], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k4VG8bB3BLUkKRJFKhBVkq0sq3kBCVFlrsEaks/ZCEVKikqCTJFtre KImEihRKJfvSDM6MsszMmUFKZHmf/prrc50513Oe+7mXc1RcfXa5iwgJCUkJ Cwn9+512wHahvyMDuw+UPrwkmITlihvFxk4MVNMa78pKJ7Hep0Exy42BCOXr 4a92TkLzyezTYl4MeDmeLWmWnoQivZtx2IeBSRG6wPPbBCS04jd88GegK3ZN 17acCfz1aryjEcyA0sfH+sMRE9hj4HBN5wwD1HDF+UDXCWQLd0fpRTDwyjUl 2sJ4Ao6Jw36GVxngMjjlEJ9A4aFwD+MbDMybZj7YwB3HLN3pDlsTGbgqc1fu ct043lYomttkMLDM3HFRc9o4FK9lGto+YGBRlbqB/sVxnLDX0juYzYDmWu4p M79xLP5puMD9BQM2j8T3m20Zx4VFLkNB1QwEXr1xz+nnGChuX1/oVwZMrX2D fnWOYW3hic5zjQy88792u+/zGDjWEdUxHSQe96bMbX4wBuvTD9LTB8n+RHx5 hi5jmN1MW31QZOJhlFXH/s6/OHY30PjLQibyNfXcxr7+xftjk2vqFzPh+rNd q7rsLwJFZdSYOkxYBX5yYWX8RdsK/RGBMROmW9WNWz3/Iu1y8L25R5nwcja0 6x8dxfLN4hOHS5gIYi4Pc1s1itz/PV7WWsbEgEzgibglo9CX22ljUcnEvYO9 KvUKo9jYk5i1vI4JOT1rXvzkCLZf0dzW381Eb994lmTNCE60WSeekm2Hfumi i/95jyDtc0aeiVk7gvZZrfsoOoIiv/hVMUfaYWW2dkC55A+2Zqh4PJvbgRg/ 5d8qp4ahnyi9tHJ+B0yqTebY+Q5j0dW/37+pdODAlSMDNzyGMXqqyXWKVgdy HZC02HYYOTaXHO02deDYzIC6NL1hzBYe2Dvu2QHOqd5mgeA3Op3KTC2KO+DY 1lZy/fhvPBI/kGdn14ltVrynj879wkllJ1WWfSdSM6+nuAT/ghZv74wWawpD HtFD0xt/Qi/WaVz0CwVdh7xZTs8GMXtm/7T3oxTiYzcG1ZgPYkrpnadqySys +iARNm/qABqH2BkrpNjo/3tTJ8qoH0f1S9qmb2NDTaroVk6GAI8tXNPf/GbD N9On2zuahkXz5rseAV04L+yYGqfBwy+u4qzuhC54hvIKN33momD3VtF40++w 9WEYac3n4Ix5ZFp+93eEs1vsN+X3YqBU1nbenB/404q0UbteqLRbtmZG/kCR kKrkkqAerF8TET9vVTciooSrksy6Yb/g64hwQzfcC9Vbayx+QKgl09dQogc9 Jv5R28e/41f1Fbbv2R74b3y2SH/fdyROcfTftbgXZc933uq+3oXZHQUZIu97 YZmuKwsOG2KhZ/es8+uDvKj7hQPWbOQP8EZK/+vDJu/w+cZk326H96WZBfZB y2NSbrkFG+936HJ2n+6DY8iAjvAWNiJU2894R/bhZcDKidcb2ZjyYe3jzNt9 CPeerDylxUbwZj+x2rt9sM9RTFFcyobI7H5h6fI+1H8d7h+WZEPokeNTtiwH e/rLUifqWKjktXinzeFAltLXmVvLQswKGx17BQ58TW9arKxhYe5Lk5wmZQ4U qspUvapZ0KlSf/xBnYM/Hbv28stZsP8xeP+JEQdypud9N+WzUKRyITXYi4Ol Hm0rpyeyEOYu5LjmOAfRxWFJuxJYMH10SnnIh4Nmk4SIlHgWalccSz4ewMH2 9lbGmmss9MImyTmcgxV7qSth0SzIOyolmCVwsF5au3h3KAsnkp5ekS3nwDTz lLSSGwuFY0kXyt9zsJO9UuOOKwtjjlFnT1SR/SSJP5nvwsIFNYeA+s8c5Lvz h9QcWUjOlnC43sKBa1q3j8k+FireuGvJ0hxcZHKYFVYsKHQpfZJR4CLe9/iT ZgMWHLaIV7xV5CLBOTny/GoWMh4MvvFT5kI9w+LNSn0WtI59zKtT5UJacs7u 6ytZ2PwrMOmaNhepC1eKummx4CVef0TGhIvcnyKmFqosvF5+cZqMNxeqiTfO z5vJgkHj3C/Xfcl1QVebmDQLuSEPrsn9x8Xipjr7n5JkvS+VigpBXLBfvuqp k2Dhoo+Y9sJzXJxLt5FMmcrCrufnbLQTuHBlst2OTlDoWR+aZPGGi5hHG8a6 +RScuySdPpVx8ULvXNQfmsK3y8lq1u+4sMq0XDOD+DOzJHvnBy4W7M6aoc+l kBc2+saunotp622Db/RQCCk/2eXezUVNeofZJYqCjOUJrXPSPHh5fDmwo4FC +tuZM9bL8GD0+ryLfz2FFety+gZm8yDy5VVJUh2F7eq9913m8eD/rOkI9yuF 6KmOKpsX8/Cn+Mz95M8UpryzkBdaz0PIDnE/o0oKN9b3DBVu5MHS4e3NoAoK qnkRDT7gYaPQBYn89xQ23S2N6zQl168d7NJ5RyH0zOoZpTt4SI8xstIvo/B7 g4pQmDsPE77Dn0KLKUQ+f9Ox2pOHwTe6rZ+LKMgtt39Ne/HA61VaqUysp3gr 2MGXh24Fow9vCyn4/pH8tfE0DzXRQ5GKBRT68v/0/Y3joXoRW0YilwJTu7bh 1Cse1PMeilP3KaRxZUJFS3kIG7q1yYXY9dHupVfe8rDvpHBC1z1y/+KWoPRK Hlwzsm5ys8jzKXUoV9WS/8/51jUtk8RTguch94OHV9avbwelUWis0pZJ7SHx i+m5MIM4MdKneBmHB/MQpbi0VAoLhH9KbhDwkGQqzq9OoaD1Z+SZywgP0Z3l DJ1kCmbd4mNPpGiYxTx3WH6bwvQsi3trZ9FYlPPs29dEct4ul7eXy9IIP+7o E0C8u136btNcGjVc3c53t0i+NM4xG1Ohsd0qu/F4AoXF1+0EkYtpXDdRmKFE 3LPjduLMZTSy10jt+3iTgven+VxVLRovaoVWaxCfLleLszCgceKQ4vCvGxSM wt3XNaylydxua39MLGL0gG2/gUZiudA3V+KLRZqrfTfRcEsclWm8TiEhd+W3 BEsaO2MLQ95do5CbisXfHWms2BG1oDmWws/gn+IuLmR92/jDqcQGdg+47Ydo TJmtVuhBXDJz5vMWT+KxTX7jVylUhnds/nSCxuLW31tWE09zuL7EPIDGoNW5 GjHibevMplecpHFgNMax5QqF2oGc2jchNC6mpseHEjNcQ53yomhoHbHY2xxD 4o+VJrqXaDifsZV/Suys9GNp9mUa6r0/2i8SdzdY8e/FkXglSoeDWD1XqF71 Bo2x8CMH5hMfjckvSLtJI2784/rRyxT6TeeH3k6i8aRkoVQRsZ5KrbN8Co0I nZaJ28SB4+dNb6TR0ElU+H2a+G8Bd8aVLBqrgt4MGRNPXVaSFP6EhtF/Rrrt 0RQsRH3CxnNpsJfQFpXEMZ2qrsHPaXQMrDySSyyTGK3h/5LG0DqxggvEe/yN pAaKSTzj7Vj+xAk7B/uPv6ZRVlElc4h4/vQDLz3KaVI30WHGxE4/pJK/vyfx +ZRerEec8fbtGZcqGrWKjqNLiL+nBBzq+EhD8nSW4TziZcEaWw9+piHrbBsh Rexl267ZWkPDdodtjQhx9qpr0nvraBR3RimNXKIgkN4yWNdAI7+o+mg/8Sru n6btzeR8bk0p7SUOqMou+tRKQ9507hw28ctM5xRzBo3+5B/HmcSjZ+TOVrST /I/b9bGF2ND+g5sxRfarvHlZI3H42hDzUjbJb7v4C3XE5XIrtDb+oNHtqMv5 Siw20DWzqIfUg+ev7f9s/uXWz9UcGoeLPxb8c/SjbS15PBqO/4td8O/+L5GT xboCkv/pmpcaiGe5Pk/NHqBRLh/2q5l4l5HHOY0hEo9bxw8xiG8qKh2+/5vk +2tmPUXc+rvGQm2EBmXw1KSHWLHhnHb6Xxov334o4BM7PDWQUZ6gsUdbSmOY +MWBP9K1QnwUb60LFCbxk55aLHlelI+sPeI/JYk9np2WMJjKx9rEyyn/4l9m bzitbxof3t7rA5cRK0ybFEuewUezZX+IAbHf8zLRHdJ8pL689MyMWFXCdDJ/ Nh9W3LZML+LgArFxD3k+YjZauoQRNzhXjSrO46NjjYzVDeKIQsvf4Qv4MDWf +6iMmOkqOaSnwkfGvVlKbcSrpWsGutX4KDdsKhok7nazoa00+NiXuzpUg+Sv 0azZ3MnlfKy/GnPXjPhWSWNvng4fiTmLB92IzWX3fVfQ52O0MHbuPeL01/PY nwz4iHBewKskHvFkdIat4yOvwp3XR/y/UkfGdyM+5m+65aNH6k3k6KK2W5v5 0P9sOLif+KA8u9nSlI8EEfn0s8SSx93rcy346N3fFNJI7K147GPIHj6qNTkG F0n9V1ZoV+na8WFLnZz5knihn+A9ez95/mPasn3/+kXViTJzJz7GamNubif9 ZFXAqUI5Lz7CzS/HLSP9KHrRhoKqYyTeVypeOBN3fRrLC/bhI+my2tQ7xPGq 4U8ofz6u7qxeODuOwvDXqHvZZ/hwttmyQYb0v52nzTOdzvHRL7nwwW7ih0sl 7spGkvOYsWDDLeIDoVeSg6LJfoylGSqkf77SjL9hepOPmmvWw6akv4ZH3j3L /B9Zr3hTVDnpz1InxS1dcviI31fyVIb08yTP47LdT/lYVO/R5kL8fNu6TEE+ H7U1Q1piZB50y9S9Fynl40nzmno7Mi+2pQpN02jgY9W4k5D2HZK/sYdrc5pI /N5mq8QQu539nLiqlY/PVdmbecRhbokaG9tJvuodCX1K5lOu5optO3r4UPe2 YG0m80y+0OlqwF8+mFYxZgl3KWQ+rLAdHedD+rShuVgGeZ9IWr7wjJAA16v1 tgYQW4QOP70oJkBCeMLGfWR+hpjE1t2ZKQCnqFJEk8xb9tc3cuVqAlhOJPWN PaSQ06t8R9pKgHi/rGinZ2TepEQ6d2wXwPVlc84EsdsueskTGwGyTa2np+WR fvfqVa61nQDvlyd4dj0n5xd7sDLGVQDJiMiK4BcUPA1uD0icEiBPM4XqKiH1 EiFnLn5fAPllFR2pVRQm1oZItTwUwNEkrsntA4U2uqv+/mMBokXNhLU+Uoiz e+5g9kxA8kFy+HU1hUnNXf9FvhKg+5v5/n7y3cSsi00VbRAg3egH+2oj6W9R w4camgRQuFs037OJ5MsGJ43MVgECBwWXjJvJedzTyTfuEGBtgNrEaAuF4qAv H8/2CUA9k90WzCD9XHt1rA1PgN47rsoOTFLv7OQ9KgIB1EX3q25uJ/PJ6lhn 2RB5Xpv2d5Kd5H1MuDErbpj4pKHzEDFVsMHLeVSAmMRenXby/vfKK1N3xTiJ 78wPulUsUq8LZ/yanBQgwrrCNY9N4f/W7L5b "]]}, Annotation[#, "Charting`Private`Tag$2768988#42"]& ], TagBox[ {RGBColor[0.9728288904374106, 0.621644452187053, 0.07336199581899142], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8VF0YB3ChLFmyJEmLpUURaaPFLyVZSntaRERahJBKspUWLdQblRSl 3b6EIluilBLK1gy5MyNm7p0oGsvkPf11P9/PnXPPM+ec53mOjpvPJg9JCQkJ mVESEv+eF4z3rvWzZoEeUgzxo0aQKHphxrVhwTyk8o/DtRHouzm7bXNgIX3L ausvy0fw5L3kparNLOzY2GwmITUCw4WPn5vtYGHcwOk1qXV/kXnXvu2pMwt8 pfEvw578xQLZn7KT3Fl4f/HXmoiIv3hx5LrppQMsUAOJbXEuf2HRauYk9mah z9PTVwl/UW7FivQOIN+TVN/sN+0vqifMaN4QykJwZdlQeacYDuHVkuVnWGhQ O65mWSNGfbe34fwoFkKVG2PLc8T49io/dHwsC09Eg+OdTouxZ6bT07PxLOjd C8ix9hKDGyNR/yeRBaNoxxeNW8Vg9trOaHnGgtODFuPc2WJIyLd+uFvKQu/M 5T0GLcM44x/ar1zJQk5QlKpc1TDkWHrTwt+zcC55lP3K3GGoZnr57/3KgptC nkl69DD0t/2dOEvAgmqo83+/bIex5r6OZ9YENhy2KPIC3w1hwU2lGZXabGy3 G2e8snAI064McVp02Ii28rhkmjaEwRNf3KQN2Vid3ZFz6uoQ0jZecHZcwYbO sraYxF1DUBvVs1W8n40I+cQgu75BtLmUWtm+ZMMo43d1tfkgPmxNk3IuYeOa 5tiluXMHUWAfX+5XwcaHmpTgdL1BXFscsCLhIxvd0jPRoDiI1cqzlgk72JBU Nav71jGAlOLo+bFj25DPD7n9NHoAz2R2Zjs6tkFWo+A/P7EIxya76H53aoO0 OLG3vFcEtw0m2765tmHVk6uxp7tEcDg9KqpxXxuO/We2xKFdhBldyT01vm1I 0hlSGvVRhIbcH6Uvz7Qh9qVbfvNTEUzW+rlcT21D5hiNMOwV4UdQZMKa4TZU 5UcPLfn2B4aCrWMb17Xj+AydZhWqHwVb1pZEbWjH1128HQqt/Vj1aqW/xeZ2 HPCq3KdY34+dV4xbH25vR2u6aq/u635cMJFLCdjbjlC3T0fjk/vBCyiyUz3R DuuwlYOZHv1IEutGrXvQjqrkvsWmTB9Mo13EUjXtyDiRKss/0wc15Z+yFYPt 4PlPnnxHqQ/SJbcz9BK+I64652dh/C80/O64b6LYgaZyhXNXC3pxaEFhs5x9 ByIi34z7uqwXKbZuScX9HeA/X2TlOK4Htl8t73kepRAVdgFi+5/o42uN48VR uLi/6fc4zZ94vnmN1HUrDhhh5NjIjQxCbSITc3kcrBH5T5OvEKCnRHXbxPFc FMRmBaxzFkCHZdeUHMnF7Q27HCM8+Viy+Mz1iaY8xAeVcWo1uuE05dPAqHoe jtxbL9aW6IJEY7LvcvlOSIbcD3iQ8gN91Zc7fMM70bknpXtbXyduSjsHbNL/ gZ4drh4crU6osZ/fl6z4gaMih7G+LjyMPhW+xfxIF6ac7GArZ3KR2yMYKPHv wh6xJfM8jQv3fdsTrQO7EOZ298TuFC4q1ht3bz7ZhV59RjLrERdndFmh3pFd 0HDd9vXAHS6k35qlJN/qgpfi+gW6F7kIsjwyuvZeF9TXzp7ff5oLSbWfo5TK u+A091NgiicXEk+dMzpUu2EzfWRYcToXlYJG78Tx3YgKLKK4ulxcMtk410mz G8GHz/mWTONiQsGqtC+Tu6F9uDTomDYXc6tmpbyd1Q0/Q901Q2pcOHF7H6Vb dGPPnZOHNkpx8ULn3N2gg90w2Ve+diHFgV98xmXV8m5Yz1wZWPWYg/zh+HPl Fd0YHjV7ntIjDoadz4b7VXVDep3k4W0PODint/to3YdutBet3sdP4iAhVX73 tcZuFLz22jYznoM3xR6GqnQ3ev0Df/AucaBJTXqvoslH6uiwvAh/DnavlnlT psWHk8x5kegIB/cf9xYfmczHFJOOLF9fDgy93mV/1uVj8J77BffDHFj2BcZf NeLj4Jirr3d7cnBQpu6Ayio+NO9G6cft4uDVnPOyKt58JCk8vqe9moNFDRNq rvnyMWuwL6ppFQeZwY+vqvvzkaeumRO7ksxXU6mleZwPzp++YrUVHJz3GW00 NYKPadMkSqYs5WBTTsRGozhyzq7Rxr7zOOhcciretpiPas1l20emcLCHUnB5 X8rHBqW8rI7JHLRcTNBb95oPXvuyVVXaHHz4Vpi64S0fZoJExetaHGSHDBY7 1vHRckxuyTINDoLLj1EePD52fl5YUanIgYqdn2GEkgCCtjFLXospJJUpj12i IoDNLpOIgmEKJuZpXT1qAqSueTMvY4iCw6wfj1wnClDkb1aZNEDybIyzjqW+ ACKTU6+u91GQfm2rIbFEQNavLKOEptC/VEcixEMAbfXnw1PbKETmFLMX7hcg buzeIks2BfU5Tq/ogwKwywda3VkU5mvdCNrtK0CI96B5RisFX5FC37KTAvTa jBzc0kShK1fUNRQjgJvJcp/2zxS+GdXWnygSwLS17Lj4DYVEvsopqRIBhk9P vL2N2O3p5hmXywRI75/UnVlBxus3Hk+qFOC3pL/igdckvknsyVW1AtRmprh3 llJQkRd4qnMFaOA9MdYuotBQZaRyt1OAFpdA2fOFFG5G+ryc2S2At6Ll2L6X FKaM+qWwVCiAk8SMK3UvKBiKBrJcBwTY73/7zO18CtY8meF0RRoBWbSyRw4F uQe2D83G0YjSHneUyqbwwfWiQ7kqjZfJ8aP2Em9mKd37MoHGdXnrGI8sCnsa xlsP69C4dOVy6PEMCifL9WJsF9HIbumM+JJCwSLMw7zejMajlDL7fcSSFo87 nJbS8PM4ay56RuH8i9kLfVfQcDi14PRU4rjMeS1xdjQyC6jqk08ocp+APseZ xu+5bLlDDyn8Cvol4+pK4gv1blcmXuT4mM/aSyNIe+HH5w8oFCor5zTup6Ee 18hIE1eGsS3f+9FQuB23IvM+Bdnd16bbHKWRVyP+sJvY3txa7s0xGnZ6ET4K xLU9abXFwTSuGDv2e92j0Op2yiX7LA2RzkGZpUlkPTFvlfEFGjeNe1b0JJL/ P4k7I/UiDVWv8OgnxLz6tczDGBpbJBYe0iL+aaV96lY8jY6heRPH3qUwZmZh fFg6jaYbKqbTEijYSvmEiDNprMjfntp5m8KlNl23oByyfmdizDOJVW5GGQQU 0LCodbhkRawtt7PAs5xG+lR/5aB4Ci5cxQROBQ33CamT7Yjvl5WFulbRkBj/ efkk4plBBmt2faBhbeecU3qLgilf9MXhKw2eurSvJvHRqtQX75toaMycJN9z k0JB8p47Nq1kP2OnPK8mXu701n1lO5l/jtfycOIws2Cbkg4aLVuPaTkTl6ub GC7j0nCjfsosI7apufFrYTeN+2Oy1YZukPx7at+YLaChv7xw3jfimsiRl8ZC GrM181yKiTdZeEYY/KbBaZDmRxLHak3a96ifhtZvLZtDxE39H231Bsj5M32c u5F4d8Yilcl/adS5PC7UIc7bKVKqlWCwb6rdSTlipTEvFU5LMYhT45zoJX3V M+uk/KIxDJYcccj/RlzqtFy2S5aB9nm3+W+JNWVHRieMZVBePkDnEh/JKZVa r8Qg+BHNu0+sK281kqvGQF16038RxEHPR4s9NRjoKgVaBxDX76ka1JrI4Mr3 3Ys9iQ0VLohqJjGQuEB57CI+k2/XHzaFQZ7B988biL+5Kfyer8PAW2reyTXE C5U+9vD0GAT6prmC+MqLaOGtGQxCuCaRZsQ89430WgMGBT2xXFNii3Fq/JE5 DIos8iPmEt8obPiRPZeBb4yP0xzin/vieB7zGOi/ueVnQGyjup2juYBBwJdx b2YRJ72a2PF+EQOThozN/94P7G9tCzFnEMFsnPJv/Cb1O6x5yxikHqrT//f9 ZyXOrRwLBqZpCp7/5pc8NK35hiWJZ+43zmLiXRodX+2sGAxGat+1IM4tS24Q WzNocnt6zZpY4bBHXaYtA8No5/L1xO6aM2v3rmXAZiYY7SR+9fpHjcZ6Bu2h WXUexBo+z96/I/ceiZ0yOX7E3lpe74K3MFDK6KsJI658Y1Rl7Mggt3q7Xgzx 1CPCio4dDM6rKuYkER/XziqPdWLAjBYGZxPXVvmV2rgwULBoDXtDPMt/QfGQ KwPe4fTiZuLwKf2F6e4kPrfVi4TEpkdP5KsfJOthb1o3+d/5nbb0eZUXg+M7 V/YvIqbeD2cH+TC47xq1+d95vK4blt4ewGDuo8UvLhD/+XT2YWoog+pXlkZy JB82nLRJdolgkBBjP8GQ+MkM+XuqkQw0rwSZbyDeeepywvEoBkGRpdMTiItm X//PKpbs/7bl8StJfqp/3Xr1zw2yf69KLX2ID4dPiH4Wz8C62WnaHeIpTfFR 45IY3KzfGTFMHBZ5L/zbMwZ1Hxq+vCP5r3hMxs41jYHo3byzw8Tx+w+r8jLI ejy7bGVC6kmOvXmyMJfML9fcHU/MU/lcIVnCwEmPagkm9clPavHlc2UMwq7u EuUTj/xO2KpQQfLrhaTeb2LNpv288e8YuJ0PTPS5Q+rpXQlZg3oGO70NTP1J vWuK3leb9oX8PnBtXh6xe/iHm6ZNDJ6V1lkPEYe43zRYxmJQXPrg0jlSLzNn m9iv72QwrPTgSSqptxr5LleODjH4+viEgkEyheQnb7YNihlI5y2wP0VsEj9n aqiEEB+lq6/XEdue+pNxfrQQNk/1bMJI/Q9eFf35trIQ0r9Ehj9Iv+j4VKxe ridEcFpcSxfpL2k/Jt9WWkvGn83WzyX96/ydyD1sByGOH+PbLc4k8W6ip6dv FMLbTutlIbF2UVHmOkchFk387veW9L+o6F2Vl9yEuCSqsesh/XP/ols98ieE mB24JSisgNSPM+o2Mo+EKN2wWPl6OYW/ZsGKjU+EmJHbNGkF6e/NNFX3KEWI lsj2wzRxjGPObussIbJTCr7bk/vByOxN/pFFQoQdeTha8y2pH5+j70rVC/FM 5c5MuobU67N/9tZ/EWLL5x0haR/JeVzqYpDcJISuFlvT5xPZj4dzc1eyhahc 2qzZX0vh5fGad+FdJN51lKVaA+m3RgujNwqEWDlrei6L+EhHwhYdoRB/jQ4c ePqF5Mtar7bS30I4y9xIsGok96dRDQ9i/ghhVbFBS53cd9qfLz24Z1CIayGp LRziooPJxiZiIc4fvsbKayb1aerYvpERIVSpbt2oFgr/Ay8gih4= "]]}, Annotation[#, "Charting`Private`Tag$2768988#43"]& ], TagBox[ {RGBColor[0.736782672705901, 0.358, 0.5030266573755369], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1ns4lNvbB/CRdFQhlXNJ2VRk90Yl9SUSkiKbnZxpZ0slUUgiKaGkg/wk UVGJHFJUzjmGEooUM8gzw8w8I3I2vGv/Mddcn+s5rPXc973utZRdT1odmcVg MEbJ77//AAvqUJQtE+st8tTbu2cQ+YePWz3xk8LDngotMzir6LS6y56Ja9ox R0WOzMD1gJbNDxcmVnuF+HLUZmARJhLZ+g8T8dGFt8LHp6H7uqmo6RgTyttl XQYbp6Ha9+hXgzcT3v6qf9dlTENKwW9trR8Te3R2GTRGTUNoYXyoIpAJt5nR C/rHp9GSxyl9e4mJ1JENrOva0yhlv/n96ioTdrf1Oprlp/FcLkot5zoTStU2 Z7eLTuNiiMaNJ/FMzMtI8OtqEULL3MfpdgYThkZNal0hQihcMLwVk8OE3zrf JovjQszNla6OfM3EQ5uBmzp2QnSuyNcMLWVC8YaH5gFtIaJ7JoXHW5iw6esx 6BVMgRMYnrhniommyzoizj5T6LdZ75HCYOGetL5rptsUnAeWzlopysL2cr3p dX9NYa9Kr7bcPBYWHGpSyto6hdVXr9yXkGIB52rOPBeZQqN1vZdwLQvq6qvS jBMmsYH318LWfSzENRu7ZzAnUGBtXhJ5gAWNC6GpDc0TMCzadXrnQRa88tXH ZtdMwO76xu+pf7NwakVAx8vsCVzVmv/c142Fk765jDlhE6B8C82kAlgIdtrg q7J+AsnC1ZH7HrOgaDDdrHBlHJtinISiDSyYtz/ZeEo4hqVLBuZVTJDxd+5/ X+g6hqaiyCumQhZG0xS+1dqN4abX2jmfZlgQZcXv7bQag9QHO9H22V2QPVgw o2BIHF4pFCzuAufPtEqByhgkJhMG5VW6EHFUrewHNQpx9u4fp/d2wcjdf8up U6OYXXIvSyWxC0/azIbm3R1Bu56RCTOpCxm0Z9tEzAiy3vJYCSldsG+xkxqM GIHd6x1SUk+6IKa+02UgcAQ5mUxfRm4X5OWdA9Y7jcAxUUW3o7oLgwNch9tq IygIeF4RN0SuF7caThUPo/l390OtRd1w7Y0JGLo0jGOb332bv7cbjz+E3S4Z +43npq7JxSPd0M1Vdyi8PwTTrwYpR/16oPWx4I5V8SCGuXISVFwP4nw+We0M G8Srg3tEbxv9hMUS2QNxfr9wwST8QR71E5mz9HbI3x3ArxIpG9llvTiZmz/l 7jgA5Q6ztkfhvVBi1xmnPhNAd8ul27KbKAy/NpjW/T8a9kqfxkWaKcwR9Xyd LuSB0frIe8cCNvzFd7BbHvAw/OFat3coG7YBdx5YfuEifrajr9UaDvL9cwYt u/uxtPPVw1kVHNw+a3RdX7IfYudDrbed6oNyLFevybwP/ganxBpT+jC58f7V t4p9YDxzzOqW6semcVNVlWwOqnitJx4s68c6ZbN9uZkcRGtZatrL9GO6bKWu 4XMOVhQYZn5RJO8ti3TzTONAs1rteY1aP057retrSOTAvncw7cXOfiiO1zn2 XeXgjfKVpEDPfjw+Ejt54ggHPglZ16TK++FwZu+yJGUy76mEK+UV/Xhpd6Xq 8UoOphwvh/pU98MjU1U6U5GDKyoOfk31/Ui+viasXJaDxIwFDjdb+xFKb09j SHFQWXxkgxS/H7h5Mbd2FgcyPfJ1kjJcXOR9PBfdy4bD7rmVZXJcVFilLKrq YePhk8HiU4pceL3r1RLpZmODV23u59VcCDV91wV1smEwfCYhVoOLswtDWJda 2fCc2/SvpCEXuwKLlnTVslG0PmKe5Aku6j2d9Muz2NBpWdFw05uLpzPBl01e sJEd9CRW+jQXl4rWKDdmkPEaquRk/Mn7ksQO9jxjI+KkmMbKi1xIb9v2UPYx G1YvL1pqxHGxVq4kvzKeDbbu+QTTYi5KdutKyoWx4dwj7lRXykXsP6reH0je 26MSVfa95+KY3pB8UAgb9T/eZRyo4ULK2fBQz3k2coMnim2buFhkedC9zJ+N oPKzPUcoLu5923f13Qk2JM18NlxczMNKyYPBaYfZSC5bslBXkoeanPbdR+3Y 0NqW2fdrKQ9rQ+2j1Q+xYaHGSXOR5WFSY8udXBs2Iuc4Khus4aHiW+b1r5Zs zH5vupyhy4PVDdufR0zYGNmuzAg+wkP1lIJBsg4b4S+LO7U9ePDbkO92Q5sN 6fX2RXxPHtR2d02Fbmbj/+TuBjp4k/l0d8f+u4kN7zHxYb1zPKjE3oaZJht9 eWN9kzd4kD8mPGWpysYPjcbmgEIeYmeHnPdbwcYDruR50RIelisfoB4uZ8P1 2UHVa2U8eB77cv3zMvL8mlb/5CoebAJ2JG2SJvOT71SsbiTXvbfniEqSeCzg HZXu5eEMY3FwF1lnxtTcqReL+BjJE/wbOUNh/mPT1K0SfDAyIo4zpynUu0RZ lEvxQekL07WJD3YsTvmygg+7c5VNvVMUnFuWGU8p87Gqmt9oPUHhXLnKDVMd PuLHWpyPD1PITsKan458vDh6MOkKj8JQ4NBcFxc+Bj7IKM0h1rF9wu1w42PM waIqnEvh3ZIlL1s9+Lh++nhMRD+FqpBOgzofPn5Yb2Ukcih8dz3vlHuZjwLn rboTPyko4U/DjVf5CHFo04widpbvVc2I4iN7fqipIjHVbE6n3uBjwfe/Box6 KAwYKZz/XwIfeWG/Z1K6SN/5411CyAs+bnRHz7nVScFU9GSwMJuPr1cNzXSI o5mrXQNf8pFu9jKnvYOCZHykum8Bn8Rbg6tKrDDfruBoOR/R4YmzG75TcOpd lPizgg/NnPWuAcQPy8ouuFTzMThm3a1K/Eeg+p7D9XwsXsExDW+nsIk79sXi Kx87/9TO3f+Ngl91xpu6Nj5s8GaVGHHBI+f7Jt9JPrSLs9+1UdhhX+O+i8XH xEDJ5g3EJg13h7T7+eA5fa+Ra6XgkKUjqTjNh/7hi6KaXyi8thtb3Mig4Z5S +maghcLiOW/Fw0Rp/H6tX55HXGq/Y17fPBpnttrX6hOvXmA0k7eURukr5+ce pC8HvhITHl1OQ7pYXKBN3OxcPSEnS6Mg8lnYbOJL+WYjIUo0zLWXPEhtIvF2 t+Sbq9NY3iOWMPqZwk6JpdyZ9TTEzXKdPxHffdfCydWkISM35+xTYhOpv3/K bKaRFyVy05E4uUi2u06Hhp7R33Hbicc9vjODt9Fou5XXJ0ucXuL4/edOGhGn O4LaGynMOrbq210DGi3idoWFxIeXd381M6IRsl/PLJlY/PiRpmxTMv7GWweO EbvL/NHoZk6+p6qgxoq46D2nYfl+Go0Tqde3E5+Q86oNsqYRd05XVJK4qlKj eqMtjYScWznCTxRWnhJUdB+iseqQTCaX2F8hp/yOPY36nJThduLGap9SEyca s2TnR9URq53eXDzpQqN/vtrxIuJQpZF3L9xJPhTb7mUTt9fmv3E5Su5fMLQ8 lXiTX0C+tCeNiUdWnQnEkau2v6r2oiHX0fgrlrinbio38CSNjxV7LCOJ9c4W Z2v40Bi5EjsVRnx7dcgLli8NqVMRQ8HE/AaDjFtnaczmzNE5R2wcIJpuHEhD 1Yf93p84aU3lk/EgGrtyZ98/Szz66XJqxgUa/3hsK/vPB86ZPHK6SPLl46wV QPxUdUGKVDiJ3wfr/v/eJ9JUl1R5hezjEb/oC8R2568l+keS/HVL7gwnzlXb n7D+Go3V62Jbo4gXtkjEd8bQyP1k9u4WsfuFpjuxN2lkOMn1JRIXrrt9y+gO qc+w785PiKW//hU7epeGj6jn6pfEx0NXxKQn0FhXnqJRSly14Vu0w30ai8sc L34kVmpLiJRIpiGhdH5VJ/GZMPuI9w/JfKW/zRUQf9JUunwmlQZvwmKrCMlv SHhK6I90GjcjJ06rEy86O9fMJZPE6899kzuIEzyOS1FZNKZsXyUfJH65d9sj QR6pv7XWuy8S6+94cMw3n0akiJXRPeJ6TbHN429IvmuGnF8RU5KfK2aVkPo+ nTvII/YR3XLtShkNfd27RxeQep75nfiXeAUN79yscTVimTYPalktjTVe4n7/ Eu9NYsxTb6YRlHGi8r/11BbzT2PmF/K8RP8qJbLe3EPr4ze10VAoKYzfTRzs Hq+u10Hi5Tb54y5x9jqtvfvZpL70+vNMyXrdoRC3tKWPRmDr+gF/4g+Lpr7/ zaOh+4pv/Iy4Z6Day/UXWQ8mEcaLSD9Ynu903W+S5H9gS1Q38aOnlTYTQhpG agkP5Eh/0UpYv/ICQ4AEfvrHg8Sm50ezIsQEGGn1DqolDjKM+XxviQCbm0uW ln+l0P2pWLpcRYAbRXryHNK/Tpat6TBWFUBrJv7jn6TfTeVGptapCUg/krgX RLwszkbni4YAMpH84GWkX5rY07acLeQcKfL2pDXpp5kcxXuLzQV4qhXLmkP6 dcT9cOdOCwHsTwTVeBG7W/HXvrAUwNyySbyFWKGwMHufrQCrRvTS05hkfcUc rop2FcDV8Npme7IfeOj879eCAAHWlAcfm9dLwYjLyG8/J8BFN52Fl4hXJnsE pQeT7/3qKiZCUfg6f+tcs0sC+C9NmTdDvLvjq8LVGAGsJv7ds7CP9NNL0iZz 0wSYcN8X7c6nML01aFHrUwEY9S6Vw8Tf+D1Nac/J+B+lbSNoCjdsXzoY5wig 79IbliMg9bHO6nR4oQASBUoM6UEKPz7HJIk2C6CjVuMpO0r2h8ujbs1fBLj5 tXRVKfHt7U7qj9oEUNJI0fAYI/WTqpm3q1MAR+usvYXjFN76N9SG9gnQ1r42 zpfs33Ea2jGWPAHG9C8wVIUUTnUnWisLBFhwZqC0jVjN3ItZ+pvkIz3PcBc5 H8wWaXl8Y5TEe+0XsXFi1qvtns4TAhw4+lQxh8FGoeejjVpCATk/LovyFGHj 7sqFwzMzAohHiFqsncXG/wM3dB3t "]]}, Annotation[#, "Charting`Private`Tag$2768988#44"]& ], TagBox[ {RGBColor[0.28026441037696703`, 0.715, 0.4292089322474965], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4VPsfB/ApJZQ1VCqU5ZLQxk2Ld0plK0tFyb6UoqLSgkKhUl0qUVKU pa5blBYqP6SQXcgWmRn7mZlzlCti8PveP+Y5z+t5znnO93zWWeJxzM57OovF +kl+/13bP+iYKFWz4fBqf3dfzxQco66UX65lg1UeYV0QMIVeOvTchno2Up0y rlWsnEKAw6mVg41sXKy1O/CMNQVhoV9PajMbC5UTjOWbJ3FZy/OuQxsbmfoq zRtzJiF/Y9+O2R1sfF5fubIkdhLJv62nFXayUeYQ3tIcMIk3FRsOafawEVib tvWx0SQ2r169uK2PjaIKRvSDyiSq72l/uU6xcfvL0Z+isybR7adoNMywcUTa 1DC0ZQJzpQfFPo2xIS285+ocMYH6/0VfMp9gg+vZUaZwfAI3/TREa6fY+FBx 3n692wTkKhxF2mZwIG5mope9kTiyZIKR4mBX73blGKEQMuOJPxeqcTC3xetS eJQQdX8bBDzU4EDfxjoi84wQsXvrGE0tDmq+XLBg+Qoh/WamYKUuB2Mma5fr 2AghFeDft/1PDl5e0dfftUiIOX1b209YcrB6k7xM67txVN1mO/7ewYEf//pV nexxXDMNbj1vwwG7rG3pndRxzH70vOnKHg6G+fLN+dfGIeG88EuyKwc4HRqw 1G0cYg2DJZUnOLjbHva8W2IcMwrvZaslcWAnftvV98gY2jaYmnU+4OBtfISI uecYst/x2YkPOUj+JtA33DcGxzcb5eQec+ARWSppvHUML551nmTlcCBqGfFR uHgMLklq6zrKOOh7tN5EpP438s7+8yl+iAOJ18oiA5t/o+Ff7qMVklwsifHz cxwZhe+a963illzc05YN+rJpFEV1X5/m7eDi8SnOQm+jUSgcGQw9aMPFBsUX wVMrR1GYrqFZsoeLJ6cPGZmpjWLuvNjjYW5c1Gn8PU9LdBTvf3vNHgnkoopS ClCoHsHsQqmN3SlcbAt8E2HrOoJ/zD1SCn5xkWZ5PfyPW79g3mTy8GBgF1RD b7aIXBnGME9Jpje+CzlZHL3UzcN4vWu7SJxpNwYL9oneF/sXoWaRya96u/Hu W3yqhfgQfhTK2S9Q6MHEouDCms8/saTDoiU1sgdtm3IZ9+U/se7PiLgFq3pR 1bVZqmPvDzgp1/6e1tALf63t3s8zB8FqTvXfKNGHdgPr1mmnBjFccZ3rH96H UIknF61nDOLODJeTdur90DDyd+GN0Jj7/fWj6Z/6sTv46Rk5SRozz4XvNgoY wFvbUqpFX4AzJgEz6x4OIMx3k9jNMT5Yf7tkc+UoVLfudYg/z0cpv/losgKF opbLpl+C+bi2wlbPaT6F+f2SqlJn+ZiXt+XZ18UUju1lpVw/wYdemdY/n7Uo PI8ee5Xqw4dTz8+MLGMKqyuli3R28fF2yaUHQYcpTHD8Gx5r83E8Mfu6XDGF DOuhmjXtPOQKEy8Vf6LAUo/Q+NnKg9AlKvx4GYVPdd3rXjTzcEnNObC+ioJY 2+GUNQ08JD2VcL7ZTEFNWWBhU8FDSYH3cjkBBcXGig9teTzM71pYKTufh5OW Qi+jBB7+p3NZTPYoD2wlpcpZ+3gwbJxXfdOfh6qVqzbaOvDwPOTxDfkTPLRu fqqctIeHR9WlSvPP8IAdKXqGdjxcPjZTV+UCD3mPLwUFW/Jg9/KCrW48D6se cS9YGPPQt+5conkBDw9Ymz1H1Xlw65rjWlnEw1q2v+ExNR7ariap7fjIQ7+B hn/fEvLe9vdPbT7zMKNfUrFdmYec82MFDvU8TLFOqTeRc4cUn+7y7iVxON0h IynJg6zF8eUXpPjw8TZ3jPhFIeWD9Ox1snxUvjysLjFMYYXRs4Efc/mgPnpG 3xiisFOrP8N9AR/hH+5ppQ9SiBZ1WWKizsczee/0TorCjI/miqx1fDTWKO1/ 2Enh1/olrPPefNweLk7YU0Eh8mXBdwOSxwZt+a1S5RTkdZz+JzjMx73R2xGf SV5WKyUEOfvzcZon8takhIL/6JzhDaRO7N6GMtuKKAy8Gh0Yj+VjocbOXUlv KLTr1jWczecjcuUskYA0Csk82XMihXyEvsisPpJKwePvXZrXP5DzfFRjfB+R 59Wbz6SU8tFR+dbAL4Wcb+H3xWV1pK7cT1SGJFGQleAflO8h3yceNtARR2Fb 7yxhlqQA5jwEPYiiIJ5mnr5WRoCj8wxySyIpVLlf3VksJ8ChrP2mdASFXR1S D7/OE+Cf6ICdWy5ScGtU2CZcIkDmTsNFE6EUgovVYs0NBdj/bsvx7LOkrh9A vdtFgK1ROs8lj1IYChqa5e4uQLGSyTSPIxQMHR7zOjwF2B1yIybXj8J7aemX zT4ChKxe5XnAl0Jp2HeTyuMCbMrJ4NT7UPjmcc41J0qAbRf2KPR5UlDGyi36 VwTo/5ihYU3strBH8+lVAXzWnPfP86DQ22BFp8cKYOSn+PovdwqDpovO3U0k 9wtth81dKYj+8T4xLEsAi1nhuuOOFMxFjp2feC5AR/m9+lPE1zqXegS9FMC4 KC17aB+J351o7ZN5AvCXdsr82Ethkbhj3sFiAeY2XPMds6ewijf6dWeTAFHB nS7bd1EILHv6trJFgPgERf8mOwp5qW73zb4J8J1d+OYA8Uanz16b2QJMz6/u iralYFadMGRACcCpu5/HsabgnG0ou3hSgDabRzrlVhTeOI5K1bFoiIo53PMk lhJ9N+eiCA1FVsjJKUsyd5w2ig2I0ehX3eexnniphOnUq7k07NYb/fHJnELQ 65kTBxVpNM026zhE3OBWNqa0gEZsrvW4DHFErsWvMGUaBx7HHvU0I/HzshVY adOok6tfvmA7BWOZubwpHRoifcmLK7ZRSHjf2J+jR0PeYfRkCLGZ3N7u+Wto TLsfZ9+zlUJmocu3bmManqm32GWmFKb7qrYmmNBI21DDiiDer8htsjClUW+s F2VCPOeId/1zcxrlf2UVFm2hcFTJrzxkN43Sh/39tZtJPZToluk70PCtitRN IFYJYD5x99E4o8r/6kpcV3a8yMyVxqLPPrbDJhS0TqwpGHen8e61tnoxcbjy r/dZXsQsccdY4lWBZ3PlD9NQOXiWXkEcrbr+dZkfjYuGb6xEiLsqhTlBx2iY V/pINm+iELc0LIt9koac/uXXF4hHaqPSn4bSOC/QIN1FwSbYLNX1Ag3hVKT4 Z+InmhIP5SJpuK2Vbckgdjx3PelMNI0kN9E7PsQ5WtaJOtdpiFmoXLEknt0o c+d7DI3DVh/a9Inzl8XdMr1NI2E2K1lI9oJ8054bIwk0gpqsZHuIj4TPi8lM pOHQdKGrhrh0ees15/s0LHyCFN4RK7ckRsuk0KidPedxBvGpi06XPz6ikeEh cyeOuFZPOepUOg3eCrf+i8RabZ0XtZ/Q6HBqTDhJHBb5MLw9k8Z0ZmvGAWLJ 07Ms3J/RmKH+rdORONHniFxvNg1uY5WFDbGmY0Pb4RwaA0/Ge7cRv7Q0SmVe 0TB0N3tlTLxpY7LvyVwS/5ZbOX8SV+nNXPP7LQ2NGYWclcT7VH2F5/LJ8z8y TXSJe2W/fJpeSEO1Ym29NvFxkT+vX/pA4ldjfusP4ql/k/bM+USj2bEwQpP4 Wu905RulNPhdQRn/eX6LT69COY24UefR/+5PL6/JSqwk/WJiEbSMeNX7NadV amjsDF2yXI+44Gki0upo3P2rRHI1seUDlph2A41Wz/kqRsQtMQfqnn2l4S4p dN1E7BVedWdVCw3Jl3Z1ZsQ/jq9yz22jIRM/ecyO+LzXHe0NHTRkZbnGzsQS 9pM/ijppKNzp3HCIOGG717utXBrn8loPnSJ+vmyFpXUfjVtnd9r8l5+Ni+Ln Ng7QuP3yL/F04gpJ4be9fFKfb+1/vCHuGizz8/hBvi9Awuo7sT9X16BviOQz Kr9giFjYcGvC9xepT72LrhKknhRzXf8KHKdxQ7p92Xri1Ccl9mMTNPYGGuzZ Q7wiUUcllMVgpGTlM39i83Mj2ZdnMlCJe9STSdx01PmMpBgDF9HOknJiD7eP m25KMGiy2tkwQByyJebLPWkGaXb2gbqkP8QNhu+qyjHwrMkVtyWO19zvkS7P QDmhoyKQOFv8j6GsBQwMEsUaiom5tQXyxWoMjiV3jRwm/Xfsg3rHNk0GSZJH mQRiYU50eqUWg0GPbrlSYoV4e8OvugwuHljWoUH638yJduj/k4FO1tqQIeJn /YvvSVkx+MG9XV1K5svl+5Fu33cyeBh/9KckmU9edgKNLFsG02qE0fbEi/Lz n+9wYHD5dJYinzg6Zn/pNQ8Gm8qT47TI/Dtg+vGqkzeD+jSnXcHEm38vs13u w6DLKD+ilvi3x9i3yiMMOCPtxiFkfvoY3v0hcZZBeO3knD4yX015rNy2YAZ3 gpc5b7Ug8yvFJyTzPAPjMEY5nbhJfO0siwgGtZkff/mQ+b21o2nRlRgG++yl /522g8zzCHmzWRkMdnRHiJ+1oTC5NkSy+QmDPQqOXjRxq6CrPuMfBg2dX/S8 yT6JdXjpvO0FAyZthZwD2TdTy+xOROYz+F14QNpqN/l/8SXmgUgDg5KqORVB ZJ/lRY14Nnxl4PbCQHYW2Xdx6121U1sYfDupXxpHbJmu92rzdwYPVmiefUX2 47sz1eXhAwxU/17EmulM8qtrEGPLZ2D6oiwniTiAm7R7CUPOE+ZTb+BC5ouV X2fRvwwmU1T3+pH9O2NaY1rsCANv7vQCcTcK7NfrD7uNMUip8o99Qpx/OFV/ xQQDo9U2tWZkfyeozB6emmKwVupSEEX8fyEhwNE= "]]}, Annotation[#, "Charting`Private`Tag$2768988#45"]& ], TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8VfkbB3BZJiRF+qFCSiaEslN8kojsWypSRBmyZCrSRqWEhimjQqGo ppJS2shalpGlbJWl5lz7vecclH37feeP+zqv9+vce8/5fp/nfJ6j6B3s5MvP x8c3Sj7/HVXzTCcsFlIoa6yzHO+Zw2KfzQUD4hQ8pgOkMhLm0PNvn/NdCQrt 1+XDlbfPoXDvnzwvKQrpCiE9tPQcrnQYRstJUzgXl9Nny8zioDsl90WWQvyL CpuO6lls+hL7ImkFBY3ag/6z92ch6aZt76BAwfKm4sGK2Fn0NbX1LlhFIXjY 6nlG0CzeOp2PrFSiMHNmnflal1n42TU/NVGlcOV46DfN1bMw+XBq++Q6Cpo2 EY4OYrNYsl2Zk69JQSimXMd1dAZF5mFS6roU5L+W+N77MIOkcoWcPn0KMmF8 IrWvZvCbaZV5lhGFQt9FbdHZM5Aylg1bvpmCfm3DmjORMwjQKfgiYk3Bb8m6 Yxc3zqCkofnRK1uy/ibPquNqM1gaOHjmoAOFdTeW4fXyGRRnr1F+70qhRIxa IT4zjSXSiaGR+yikKi5b+6BsGgUTPgvGjpLrJdlUurlNY3Hymc7scLK+h4/L /94+DV+tlKcuJyh8NZl/dKXJNBYF1LvlRVIoLfYYOLZmGvvbDbMC4yhUqf2b e39kCguKxY27Mii4XgyedEydwj53lcVX71CgNifxjiVOIX/MjGN6l8K97NfJ edFT2Lv++KX0hxRuChW1BYRM4Vkmp3n3CwrTYtZ9rRZTcD//KuhjDYULD39r 0B6bxEMr74yiUQrWK90PZO6fhM46RRNMUMj7pKx+2H0SReLf24qnKEj30THW zpNoaNwjXcrHQUd06QEFs0n83LPrj3JRDiTn6suxehImoQ4nq+Q5aNnFW2jR PYGGFJOdnyw4sBAZTM4OnoBVi2nmwaMcyM9EClLD4xjhLlvck8zB+Nct4uo3 xpF0s7cy7QYHS4/9zHK6Mg5t++dnnNM4CBEoiz0dN47DebZsSSYH4SM3xfpP jYMOj6xLfcSBGat1ZP7+cXQL9cQ7lnGw5olMi6fGOJoVnoq8pTmgXov4q1SP Id95m0DS1i6cKqiN0lw4hhjrV9ErtnUh3bLOeXT+GDzMVISzrbowb1w8p4R/ DPzaCxa+sOvCb+Unqb3jo7CTrP/f551d6D800lrJGUVfww7VFYFdeDsZt8Co YBTL7A44Zv3VhaYdg0Wxh0ZxxjI6/XlPF4LiBNKlPo9gqFhyh+zSbuhqWMyr jxuBYsf2z3eiu3G4TLm2+tNPGOmfT5LV6kHnx5RFwe0/4CFfPzGvsQehcUaG 95b8AF/rnRBj0V7ERBucc24dxsg/l6mQqF4k1WpaKLoO47qg5xEnpT78ZqlS c/P1EJZ05t/mf9cH74Hj7lztIQidinIxPNwPeaOcnT/yBxFuelioIbMf/753 vxZ3bRB8f3vmUpID0FMfzK52GEQFrzUofekALrxo19axH0T8ekcND5kBOJcl NaXbDkL6lVlOs9wAfq1bahuxfRAalWsfVq0dQMVKTYlNWwfh0T1897HJAAzG NW8O6w/iteLFWxH+A3DRFLyssnIQoSm5lyXLBqAbeP+Jey+Ll9MpF8veDWD3 Q9P7pV0spj0vRIVWDuCWT2y8CsXi4uo9Rz99GMD5mWWyc+0s0h6J7rnSOoD0 CUq79BOL90W+6yTpAei3psxmFLGQ4SyvkZDhojPXI6TmGou3ajHCEkFcHF23 W+2pPQu9JunaKyFc8vwHKD2zZfHk5L0/pX7n4uy7idwX1ixu11YskwnnwrxR 7VTZNhYxwULqCme50O/R6OGBhdOzs47qyVykyrdkx69n0Wt0KsWqiIuUDQ2R I5Is9nHE9taUcDHRoq6oIsHia1zaattyLv4wc7byXMTiQ3vBI4cqLk5fydGs XcAi7/RkkdsnLtrY59ZvBVmcLAvj+PZwUd3vF9EzykBie+i6s+I8FPIbxexu Z5BRumiBkQQPcwYP2lO/MlhvmNM/tISHRgX54c7PDOzW9t31kuUhkpfo6d/M IPYXT0VTJR407DdoJ9cxECy3+h+fEQ+DQS/DTUsZjG5U5Dvty8MXl0c05x6D 6GdFnbp+PHwdvpnjcZeBlJrHW9qfh4YxqdWtWQy0l12L2BPCQ02jjvrHTAYh 42Ijm07wkGqQ//xLKoP+5+P9U4k8GN9yNd+UyKBdvaHxeCEPqg+65c0jGKRz JU4JFPNgsOucqehxBt5/OytfLuVhYpv754Yw8nul1vCMCh5OT+V7eR8l97e8 U66ygQfaXKg9OYTshyjvoFQ3D/ejluibH2Rg0TN/+vFCGhJ+Ng35rgxEsqyy DRbT2Dx7Y+6+C4MPXnF2ZZI0vtq7pd50ZuDcIZ7ZLE3DUU9bOs6Rwb6mpRbT ijSE6sdkw2wZnChbnWilR2Pa/6TMVXMGT25BqcuTRlibid8XPQY/In7M9/Ki 4SvzWnpWl4Ge2z1ux34aB3pT5JWICxYtetbqR2Po96oNR7QZVER2mtaE0ij+ buintJ5Bm/epvXkXaPgJ7e9/p8JAHhvMNC/R0GNuj82uJfezvFv5URyNqs5f dxsR9zTaMNmJNIxUjJfnKzMY3Lri1I0UGuHHzGLerGbwy68FKZGPaWzxz+II yjOwEgg+PfOEhsrmRAUXOQbx31Z5RzyjMXa+7FHWCrJ/12NVjryiIXgRb6yW M1ghsvvVwTIa2zZfTLsjw0CLO95s10Lj5IDcjuQlDPbk6knIzdLgfRjxPibK 4MXucfEGPgbTOjuFu0QYiP/yRuycAIP8W8o6zsQlHsbC/cIMkvI15PXIcZXo 1rnn5H9Engnrif9C1uPjSNuQdZ/u32sxn5+ByeIl3Dk1Bt/CIgwvz2NwraCp L0+Dwe9P83KliC0ld3bJ6DDQKH2stJZc90GxZ1uXCam7u6maF7mvoGWHqk+S Ot8SLj+9fIpGxXv1Sk03cv3P/PGvJ2koHGbfUbtInRgT2V3EDZWhJZZ7GUyl 9uelTdDQOnr8pZQ/gztBZR264zRiV27MrzzEICo7rfvbGA1OzXReRDADyZHh gDjipFWRj78fIXXkd/vRM0r2tf5C9qMzDFQd23tzR2g4nLC8s/csA/+/jnb6 Et9XFs2UjGagk77USY5496nLaeGxDPri8nITf9IoVE26uvUvcr7LB5d+0JBq cf1z7BqDSVMDWWviwCjphAcpDDbV3QsSJ5b/nBK7OIPU2eHvuBvDNCKjM6Pa HzDY4bzvUukQjYVh87d75TD4s+B2/BXiFL9AyZ5cBgOJJl98iJ9ZG95hnzP4 Om/UdiHxZuP0gCMvGZx7VHOUM0jjg4aQzsRrBj5UUM8b4h6Jj+/4i8n+BlzN DCQOFdC/fJHkhtyHeq4l8dzPNFexdwyWfrI/vYZY5rNfz9JqBt1br5ygWBrZ 1XWPU2pIfQsW95QRaxXohCmQHIrnbb+eRWx9i09YpZFBXX9AYwDx54QDDTkk t/YXLvJwJPaJ+nBdi+TabZd+NQPioVAtr5ck96bOtW5ZSXza57rKpg4Guhtf Z4gQi+6YHSr5Rvo2NtD8J0Pj2jafN+YUg/KMxvXfiZ+orre272WQfVKrrYDY eEXykqZ+Bu83Ddx4SPzPwum2nTzSX68/3koj3jHnldXBMLB9W9X/BzFnsPKQ 9xDpe+3ciLPEIZS6bu8PBm9X+zqGEU83Xp0JILkd+/KfwEDiS+8n3g+OM8jV Lan3If7fy71/HJ1i4CCoHLaH+M799zsmZ0i/32/f70a8PkVN4QwfC5GKd385 ERfG/dkrIEDmjEKxmD2x1amx3BghFn9fe1RlQ9wStCd8oTCLF+pB1dbE3vvK N18RZYF53eL/nWcdVUSkF7LY4DB83Zb4pFnCx1Qyh9aHhR10IBbRHbmxksyt xCHXCBfiZGV372wpFha7gj/uIl4lU6qqKs1i7ED2oX3EuSK//ngsy6Ju6Iu1 H/GmqfgC7RUsUlgm6DBxFW/43Ct5FllHKppPELt27rQxViTff7Yl8iIxVV8k Vbaahf+seVAScXCpUoeFMost7/LSb/+3f3mx2TVrWSRcDZDKI47JGgx0UGPx i6zzhzLipck79JrVWWQo2FQ2Ed++WDi7i8zhykRDoT5ijeOrKju1WJgdmY2e Jrb0YNz69FlctUy1VyH90WTrsjLQiIX9d8PrpsReeNM3tImFkoHxanfiiFUX jk+ZsthVxsd3hXi+FM80civx5RjHXOIkISdRIfJecNVKsLuWOKdPLlXchoWf pN9HcdL/MTej93XakfcE1wRjXWIfJ3rNY0cWOwR2G+0hXlFY+MTWjbx3bDbt fko8HqJ0TG43Cx8pyaudxI1r4jfSHiy+tTENYuT5jE1wr4j3ZmFXpzcdSHxg a3mchy8L26du/RnEWyZUHdf5sVg+zvo2E094T7bVBLLgyv8UMyP54Kd3Y0j0 OIt5rJP4BpIfW7l8L7+eYPGmWvf3EGKFDL+TD06z6EoKPvCUuEXEYP728ywo DfcxfZJP5h0tKy4lsND/tqXYjeTXqvNSlvPvsli1PKj6X5KHswYnF7beZ5H/ /ZaAEcnPLzTn092HpH5rhP+5Spzo9myPxVMWqfX8U9Ykb+dUnX6PLmTRLSI7 UEfyuP1jwi2BRnLewOtfeZLnry6M7W9sJvshbN+QQJy0ca/Knc+kP0PPW/HP kbzI1ni+pZNFuZjDVy7xm/Da6qh+FmKjhqEfybxIVtdNcOSx4ExoPbEj8+Uw leaiyJL+kI0PqyVea3PoW8lPFs3mTGY9mVuC85qyEsdYJP9RLOgsyOB7/kb/ fZMsDh6KGmwlLvS/o7l+hkVLoIyvpxCZTwoLRubmWByy+827h/j/I7AdnQ== "]]}, Annotation[#, "Charting`Private`Tag$2768988#46"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk0VusXB3BChiIkISVDLlG5kpB8kRtSbqiozNQVkfRTGhQyJTJcCWmQ aBJCKpEhJaUyRgOV9zW+w3HINb9+T3+cddZnrefsZ+/9DOsoex6xPzCPj4+P QZ7f71Cf9Z9CgxmQnn+vy3FgDjzfQ+KuxxmwKTxqVlc0h5gdGg+6Qxj4laxT neszB0mdfiu30ww4yfUPhxnMIVM6r+97KANNpl8eh0nNQXXMO9I9jIHusFxW FcVDfoeqys8IBpYa+kVFNvOwobynyiOKgbI9k7bfHvPwIivbpSeGgXLOo9A/ s3ho8lDKYMQzkCrYKO7uz8Nei25970QGrOQOtVQ68tCjfq2NmcxAWosmR3IL D2MsBcm+NAbYhS7+Soo8pF7rr8/KYOAxHv21SoSH9X+XnnPIYuB0gaD811+z OFq8g6rOJvlyHTukmmbBCQn7cDWfAa0wvs/b42cRv3pHtH0hAy172Cn7zsxC 65u8iWgxAyEGXPHqw7M4hJKHx58wYPx80exp21n0CvXF29UyMOtzyMBwySwi nxRbiLxi4G1li2u48CxUD52beVHPgGcifzTf1Aw8GuUOa79n4EfDnxczvs+g K8XGRriTAZNfO5sn8mfQrvRItJLDwJfkzBW07Qz+1xxac2yYgfYHN76+3DKD xee3nVw9ykBNliyzxGAGdn2MgSsTDJwd4rceUJnB+3zZN0ECTDRfVRi9ODGN V4ZnojXkmRi5lNuncXcajx0sBVItmNhfsnj/ziXTiLV5GqVoyYTJfZptKD4N 5y2aIrnWTLDfViasE5rGvPULxMtsmfjLxnO9ydgUbKU/ynY6MfFaoP4Ho30K A017Viv6M9Fp0XpIK2MKCrYH7W5fZuLNZv7LpepTOGcVdaO0j4lkObMuLadJ tLj6OOsMMrF9+vulzfaTUAu2kc9nMfFzmd29Xdsn8TZb6t+cYSb0Pg8PpphO Qmb6WnTKFBO/VLxcbDUncfdhmX+gRC+KeV1lT6YnMFwlvUd+SS8ahY3fz+dM oEl6YJO2fi/G5lV5Sd2egHLXts6cqF4YSj4d1uafQFztpsLdsb1gPaisGJwe x8gd7Wjhi704krQi+/5/46gNktDzSyLedSfDgD0Ob5GWRN2rvdD7OpUV2TGO u+v3WtYU9eKDRHBNR8E41sb9U9b9tRdMmUNRFu7jMNoYmSqv24frx4JS9N7/ B+cVHyf5W/sglD5Zf+zzGPg6cgI3i/Xj+n6/NQnJYxh7m9ATGN6P6Dm5c+7/ /UK6oOv/7NUG4EpVfTHFLyzufnxrXt0AgqaNgv+7NQqh0PBdhkcH8Ub6vaaD 5ChCzI4KNWUPItY0UnaaPQK+e66FPdJDaGM39JRnjuA1uyPgxpIh2JeVn2Sk jyBex26ts9wQqjj+O8SvjGDp0y0P25cPwfeCxT3vf0ewtl7jwRuNIRznDqxS iR+Bc+9IXoHJEPRyNT50hI7gmXLM9VO+Q5Axkm5Y7TmCoMzCBOlaEi9OdpXT 2hE8mcmMqa0bwmklz5pW7RHMuEaHB9UPgTubHrxTawQxqi7BLY1DcO08oLZD YwRZ+WIuKR1DWJnwOdlBZQSvXhzQluYMofOiuHuq7AjkGMveScmx0DTGOsGY o1GpFSsiFcBCt3oVJ7edhn7b0vcpgSxkPj9x9lQbjaIzd5JljrEwYeVG/91K 49b71wpyISwYO7acmW2iEXtEaI1SBAsyHqOqXo007Esi7NaksTDqtTDc6SWN fqPQTOsXLHxY188dfERDaluQdoQEGyEmsr1Xk2ncrFm0wEiKDRkHv8qUJBo6 hg8H6cVsFElKJMUl0rDVGMjzkGfjS5alamgCjbj5rspmamw4ZDOm/C/QEHxp LctnxIbLGw2js+E0/tukzHf2ABtx+WaujkE0okpedG/wYaNjzE7c/ygNGS3n So4vG7prDhaeD6SxXuHKKZdANnZmVr4rCaAROLFwzPg0G6pfNNyU/GgMlk4M Tiex0V0dW6PqTePbmqbWkxVsWG+1mvdjD40bLKlQgSoS/2eanjKx5z0H9YQa Mv8jnp7XbvK9WkfIzddsePNO3Bh0IPkt615e38TG+cL7snx2pB9i7H9ketnw cjH3c7ChsbVPeKZAnAPJYyuupZjSEL1tnWsgycEzqyNbOaDR6HHRtlaag0Pl gs+siB26JLLbl3KgUOk7yW9Cw71tydYZZQ40i9QZoZtonK5VTbLW5+DF206j q/pkPa9DjenKgYFvq6DfGhqjp0aFPTw42Lbrqf1PbbL+jndYXV4cDDA7XZyI ny9aVNLhw4Gx4M4HVlo0Xod1m70L4oCPV6Skq0njq2eoW3E0B58iDzhorKIx /4/nmWEFHFQbdstkL6dhLXDk7GwRBxuPn/+4ljj+u4rnqRIO4k892FKpSOpP j9P831MOtEQWO31bRkNRdN/Tf2o5uH553VpVBRq6rIl2209k/s8HTrTK0nAp 1JdazuMgM6m8ulKSRtm+CYkmPi4UFCcr9xFLzC9feF6AC3vDm8kTi2hUO28W GRThIqI477k+sYqYxVzpYi6aZKSWVorT6PO242zX5GKhRM5HWoyGieRi1pwW FzW9oWpZxFeetw0Ur+VCxKhhhyWxlbQTU06PC5XAjctvitK4X+X6lWnCxQpD 1fz9IjQCFA43nNnFBe2vEjglRPr1ak39Okcudi+fnH1ErHSUquvZy4We6EFX X+Km+qBqKzcunOcnpXUJknqDTz6R8eXiw6TIz/cCNMY/Rufmn+Pib1vJ1+38 NHaetspxi+BiKk4+MJP4rrpYtnQUFz1vp4fciPeFJmSFxHHRxvpuz+GjUbE6 9V+Ly1wEzNs8IEUcFpUd/u0+FyOqe6UjeMMQPyG8zeMhF7u2WjXtIc708Zfu K+TCwvyOuTZxiY1hDlXKxYyql8Xn2WH0STXXzasi/Si4+mwTcZDAxoSYGi7U NVvkZInnfmXtXljHxXzHDi16ZhhynT59Sxq4kH7JO3yP2OY6n4hmK4mvdW2v CnFn4sGmh+1cKE6p7p5H7B3emK7byYVyVJcAY3oYZ73TNY27uBjYn3Uqj7ho tY7N3/1cqLnqv9tAvFkxbXHbIOl/E1yXEb8Vn/nqxOZCXqs3h5+YMVx/2JPm 4kjZs61NU8OQfeJ2KXiai+fbLwwEE+fcfbVnapbkcytQwoNYJ1NL6RwfBflV nn3bia1DxwtjhSjs2a2Yr078KcAlRFyEwtHomgwZYk/3l6YpYhSM2ZqGAsRn tiQ2X11E4boRL75nchiiG8YyVkpTqLG0NGslTlPf75krQ+F2i/idOuJC0T9G C+QpGMR8iL5HbDwd/3y9IoW84Dy+a8Rv2CPnn66gYOX3RCuZuOfjC5laVQob m00vnyY+UqPWtVWdQkvuldajxDPFcbnvNCjob2PW+hDH3h7236lFwVJF1sud eEnaHv32NRTKchVLnYhvxVTw9upQkHbvf2xHvPakSn23LoUXwwd8bIif+8Ym em2g8E0s9t1fxFbOXMeBjRS8gjd/NyVu27Frpb8RhXkLjucYE3ugfIA2pqBd rixnSMzVWfnoOCgsjNLZrE98SiX65LQZhcjwFGk9YmEZtlmYBQWNzxvTdYlT hezFhCxJ/g2SH/4kXjn+pOWCNYW0W+Klv/1wYPlVie2k3oYV236Pj70W5d5t S8E0OqFmPbG3PWdVgR3JT8tE5vd8psK7WaG7KIzsXWb+Ox/FioqiHY4URJsX 2WwmnghUO758HwWFgPnrzIlbV8Vv4jhTmNAe4lgSF3wZ5at0o1D7R16MLXFc 4v7X8Z4UfqStmtlNfNDi5UXnAxTmmhxsXInNJ1fbaftQELRRDP6HeEVBiuyM LwXJdN+Tv9dn0nPq6zt/CgGHVjud+d2/pZ7ZVwMpXLlkKRVLXNTYcNDvGAW1 sYe3U4l99DNosZMUXFrn7ysitmDxPflymkJxRfPpKmKlmz5n7p+lUPo27cRH 4k+iBsLbIilERNTM0MTFL240ysdQWHGJL1qQ7M9Lx4RTBi9QEIpgDywl/qvr k+KFRArV685tMiNemWLS45RC1tuIT8uReGZr3h2NyxReN/WM+hOXFgXrvsmk IBEbIXWdWCVSxko4j/RDVvuUCDlvPIMz4h13KXRkPNVdRfyZw2jJe0BhWeSS OnPiJMcSl62PSLw/pwLDiOdW2x+LqqCg2xtLC5Hz/+X7M4PdVRR0Xj8K0CQu S1XmqdWS8+SoXLeDOIA3HFtXT+rtSR5PJ/7WnHhdoJXsn0D2WUNy/zyNHvdq bacw/DW0wos4dZObZk4nheO5rc2XiG1y15aad1PwdEo4309cHvK+IXyQAutb NH8Oue/S1mxItGNTMBeOnW4lPtqTtUuZonA+o6VRaG4YGtsPf6/+RZH/QpEx P2JB/rbbSeNkfMMnm5vEPx5v8nWfouBzpeRkO3GFb846nVkKJgVJZxeQ+/eK 0oKxuTkKva/c9pkT/x8xPW+s "]]}, Annotation[#, "Charting`Private`Tag$2768988#47"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4VdsbB3AlRPcqUplKRCkZUhTKtyQZUj9laJDiRlIoQzdJNxJS4ooU EalIGTI1iciQUkmmEkrtYzjDrvaRg+P4rfvHfvbzedbzrv2ud71rPVvdw3+7 51QxMbFv5Pnv/fNQGVtzDgX9BNXT8j8mkflj361vxP3mrh3qzybxS3Kj+z5F CudUbjyX/3sSlvMXL+hSpuAWt/nyE5tJpKyU7nKeT6GkoOqetdYkhmw4KS1q FIrDPNt6JCaxdv87x60aFKgeTsvbQREuHS+We6VJYTDZ1lm/WYSvF5PfblpC YVva+anHHokQ9XiP9brlFFTkjlw1ihOh8525xGM9CnJThtdsDBFBh6Ves2oF BcuHFfqrvURolh8wW25M4Vdrkpq7hQgaS18LctZQwHftr4dXiBCMgrJFZhT2 lPr/ElcXQflIkL7KegqFlS8UcqeIcKBObJGMLQXDw6G5xQ0TKO/61ntuCwUZ MfHz059MQPpX/fUp2yi8fTGUmXN/AgUL4uaO7qCQsMk5rTBxAoK/lWQG9lJY r6599oz7BGwvCev/2k+hs69DvNxpAum3es/2elB4LHVzpbLtBCze355oP0jh ygw1Ta+VE7i4zPBn3TEK6RHG6z9KTUC927Yz+xyFB0EBWj/KhYitMSt0iqFw 42xvVvh9IX7lLI+SukAhyDa7xuCmEDUBsqsOJ1BYa3dU7XucEAemt8QbplGQ nFHiEO0lRO7KXZuriyjsuFQyT11VCL3Yg+U9XRQ2l0ncV0gexxX/nXEJPRRG TF7ra8WNY9LR5oDFVwouQxo6G8+No1lNR/4Oi8Jx6Y/xd4LHcayM5+v7k4LB +n+KprmMo/RLsJZQkoX6sRONP1TGYbo6MknJkIWPVc4z3fPH0O6hZJy+igWx kW93jHLGEHipoGPhahYSpTxC5bLGcJ/qVNZeywIjFxPVkzSGBUm6WcZWLPhr WXNfnxrD1J/t+Tt2s8DVqIr5Zj+G13lLG+IiWBAkFg9f5o/CdcG70SkfWGBp 3F1g4jAKWaWAsqdt5PvVy23EtoyievacY8GdLOR9bdvQZDWKxdJ7Bga6WbDe JB8SsHYUNMNqfzfAQrxYu+TIklFENIpK0kUs2AU7b/w4KYBMR/bRdTL9EM3f UryNLUBukJ6fybJ+mFbbz3xTLMDwq7i+o+H9CL380kBOU4DPM9q8hWf70Wyj OqayUICaLap0dFQ/5HZqXl2qKkDC27zxjAv9OHm81tJeQYBlLQ0Kb5L7oahn Il4+TQC3j1M2L83rR4FbipUMawT1/cH3vrb049i8lUxu3giuTnML2q45gCuP gp7qmI1gdk/Zzam1A5hqk6W3JuQ3JMLCHU2ODSIlpt1Bq34YJzYck2jOGoSF /9byQ2nDELvrVtgnP4QxX/bNkdXDqOd0+N2YMwRupNOlKqNhXDRw0HNVHMJ3 lyDx8yuHMe/Rxvy2+UN4pZkfvVB/GHoN2vdeag/hrLl9n/viYbhSv+4UmA/h mmO4ke6cYTxWj8446TME2e/qel8ZPgJSC+Pka4ZQMfxm+tUyPh4KU6NraodQ sMTgcF0JH0K3qPCAhiH0DZuq8R/wEb1ob3BL0xAezJh30qmAj+v3ZfYmdgzB 4mE2e0kOH3WVnsvluUOIkvy0acY1PhS/qbyWU2RDMnzfypdhfDzTiZku58fG q8DP1ydt+TBunfcm8SgbvdqbnFJs+Cg6lfOvQiAbP6amKRpY83HzTb2y4gk2 ckYLKw9s4iPGX0JXLYINWRnR6U/gY3tJhIPuFTYU5hqeG1nFR79pWKpNJRtP vt3eP6zGh5xtwPIIWQ5ifObL0wIGmdUzZ5jKceC7a1SlYISBgUn+4M/ZHHSW 5lj7/WawVXvgjrsSB0valKV/MQxiJd3UN2hycKC7QVWKZjDthc1cMVMOCnyr Nx6kGPw2Uxc77cnBtIikTRMtDM6VVPYYeXOQm6Yq8eU9AwUd12dcHw60mmZ1 v2hmsFI55eTeoxysfSLRduktg6OCP4bXhnKgE3X/84pXDAZLBYPjCRwInplN v1/N4LNu84eQCg5uNP1o9HvA4AZbLky8ioNbLsLsyCIGHnd3LI6r5uBtaaBP WiGJ1+w4kVnPgd6/dU9f55P8VHrmNzRzoFjXc2h1HgM5Gc5BBYqDrLK2F6bZ DKxYUsKCP7nw+nZWQCczkL5lc3vNLC5alymOaBA3uV/YWiPPhUtdUJdzEoMd 3bJZbfO44KlVOVYnMtjfOsdKqM6FYq3OtKx4BqE1ixJsjLkIkbiic+E8g6IM aH5342J/UsA26dMMmJOMlLs7F9oepxa6hjEwdslhd//FxbV9hS8LTzF4OnNm SYc3F2WnBtN3hTKoP9Oz4XUAF/ENGi4PTzDo8gjbVxzFRcLWpi+pgQwklzxN PVPAhdL7NpMpPgxsxP1PTxRxceRSZZbfIQYXezU8TpZwkbe/u+uzN1n/1dil QY+4cIzSrn96kIGq9O5HB2u46P+b7XfWk4EhW9C2tZ2LZgv7nybuDPYWGsvN F3GhZ8NUW+xiUL5bINssxsNptc2/q3YykJV88sdZcR7ag3pUzYmfu66bPjid B+da/fXrXBhoyFhOls7mIVWh+ZOVEwPWAQfulqUkvtJobbQDA/NZs9mTOjwk /hsUPps45WnrQLEeD4bKR8oz/8fAWn7nd8VVPORVDPCebWOQV+XW9d2cB9G0 T8niWxn4KR9pPOXIQ32CaepTW1KvOt0GfRcePnMkG52J1Y7RtX27eBCm6VK/ bBg0NwQ8t95Hxq0E33WJDYNDHir48LDTP0FUsJnByLuo2/f/IfltqD3Zbcng f6HW2fsiePD7N9Qvmjh3sUyW/DkeZMp32RsS7w6Lu34ilgfVXeJNsRsZVCxL umyZzIPXvL8arSwYnDmXFf45j4cq/uWcITD4828pW/d8Mu7090QOcaq3rzyr kIeXjc4LvIhL7Eyy6VIeOtxuPf9uTuol9752ahUPfcLHkex1DALEV8dFV/Mg OVChX0g8yb/u9EctD2e/MLcCiRU7vVlzGnmwMb7OFa1lYJchNn3pBx48yw2G FxB3xns157fxEBCiSw+YMTgQ3nTVsJOHyPfpxSXEpw9cXbq2m4eidaHJdsRF ywzstvXzUBOU/jLSlMHch/suBY+Tes6LbFY1YZCdW+c8NkHWb8E4M2vIfZKq o/aPGA1998O3XxHbhI0UxkjQiOpSSw0lPrUx/n3aTBpn8jd8Ya0m581o+NpC eRpuN27cekF8ZfEej9sKNJyNXA2yiAullzAFSjQOb8lIdyPue1epULOIxk4/ qTd9xgz8qzW7rRbT6J5QflVHLCyOvf1am8ynOhR3l3jOFWfjNl0aPemHDwUS 34yuEO0yoDE36feZXcR6IRoNPYY0msBzW09s7cpzGVhNY7tiu+8s4lZ7x4W+ pjQeVdzIGDVi4I4nAz/XEkucT/5GfFIjKmR8A42gfL+2x8RSCpwNZyxp6B3c tOAOcZLEdhmJzTTpox/LLxPnD8xPk91CwyczJM2fOCb93P6erTTWp01T2kt8 YDtXq8CBRkRy+UU74vVSTuwwRxqdXsd/mxKrVlQU2bvQyJPXcdYhFhzVPD5/ Nw3Jl0/vqRJ/0LpoxnWlUfB15ogscWz8nvqLHjTuRGX6/V7FwMvyxQVXTxoW WfdT2cQWo8sclnvTyDBXqfhKvKAgca7Qh8a0y60tncSjHmNdr31paIme9zQT t87zyEo7SkNsRmNvI3FRU6PX4UAav/3b2l4QXwxfsdzsOI1M2XfPK4m9ja/9 lAmh0cZkZD4htmSLPfwUSuOqi17wQ2K1TO9TeadpLEz3Mi8jHnNs3nAynEb5 9hXCEuJ26TVStpE0KlecKPjPxZU3mpSiaeQs0HIqJb4UKJU4eJ4mv9MaP/6L 99H2d3l8kcaX2F3/PCLe1N2uej6ehvBu2dQK4oWJ5n07E2kEz1U/+ZxYaHUn RzuZxqkLUVQdcef4n76CFBqz6GbLJuLSomDDl6k0JhzYKR+IEzy7R1LSyfz0 854u4sPKm54dzCT9pL9OiSK2enc/YnU2jdxMu800sUakgrXUHRoeYp3eY8Si Naf+7Mgl/bPqbZgk2Z+P3G8td+7RqNiqHDWbuPSm3dXjBWS+2NxwdeIEl5K9 Vg9oKNh7HjUgPvKHyqK5pTRitNdtX09sXR0xQJXTaOlQXeJAPLlse+C5Chq9 gTl3g4k/9T5e41RF+vvecpfzxOVJ6iLNGpK/vd9IOrGf6EdMbQONSJPuma+I P7+PzxD/QMPgg3+GLun/R1Ejf31oo5Hi0t1rTZxktm9pdieNvZ4nZnsS293W K7XoobGu+df/MomfnHjTGD5I44ik5iKN/86zrlG8A4eGoHkJ35L4WN91R3Wa Rklra7k3sfaWI73P+TSSzrBnlRBPm9J6K2GERoKsce5H4i9lZj77x2hYZ7EN ppD7o8InW99ggsZnhYm8pcQpajOGJydpxPrvmbuD+P/ICUxB "]]}, Annotation[#, "Charting`Private`Tag$2768988#48"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1XlUTVsABvAQGRqUmwZDSqWkJPQIfSQ9kqFeT0lKKRJNlKGnR0goMj0S ypghKg1KSqRRRUqKBk/o3Pkg59zbvbfb2++Ps/b6rb3P2t/+9lnrGAdGeAQP VVFRaSXP/+PahvBff46moDksplNFMAhltrWfozoF89XyeL+MQeTeazKQalI4 /zTv1s/QQQTe2tX6SJsCIwjs8nQehG7G+DPbORQKAzbX2ZoOovbSEzczPQrl iZM11EYOIva878hPBhQqFnYsvy5Wovv4jQMeRhQMyr49ufhCidNHli1QN6Hw eWfsl9kPlVh6gMtWmVKg6rKNeZeUuBttEz5/OoVFqZ42KruV8Il4a9k3g4Io obZtWrASGqHR3x7MpBC0qekW7anETv8S3ylzKRTEOERMtldigavLSrXFFF59 WXUld2AAYmfeiBdOFO5Lpd57vw/gGpIrYpdR+IjnvJNfBqA6t3m+2JXCxuQJ i0+9GsBrIz+L1j8pnFyftTjq8gAOGg75esqbwtnem762pwcwW/dWxvINFOY5 Kx8bJQwgdTR/fOkmCp38pF8JEQMIZGKG39xOofiZXu58lwEwr072RMZTeG1S KhD1K9A5pjVEcZiC1Uwjj7gfClS4TaQTj1Lw0E3+ZcJT4PTr+/L0JApNBnF+ 2e0KTG+u4TT+Q2E2uzy5sFgBvw9Dfre8TyHKvF2mt1+Baiom63MzBetIn/Y7 Ggo8sCibFdZKQf+3xI5pagqc26ZaLG2j8FIrLS9PRYFNgrOVWl0UxMZvjLl9 csjEOV2LKAoHf06xb/wox0yWp5UmpxAwb3H2xvtypKr6RXuYcnEsfpZT4Ro5 lJv15r415yLN+Ov7IFc5gl42MWssuXiUdWnEhGVy2B5aumeVDRdPNPt4aQ5y 1A5axC6fx8UVwY+SXjM5JLK+A45uXDwNOZ6UMSDDuh/Hk6ZHc+FUZTPN5pEM 47oLbwyt5CLI4l2Wo7kMp9Tj4oqquRhxNWJys7EMoxc4e++o4yLrxGTptkky DE1t1nj/mos5SQnlmRwZfrrTe+994CK1vKH0j2EyNFVZrFlLcyE+Uv4i+nM/ kh9ell815GH+vLasG9f6MTwu3nN+FA8jDhlYhVv2o+CHsL98Fw8OLk5fTM37 EbTFO8NlNw/JQ3Tsu036UblmJv+Pv3hYOLgjw3tiP46YdB0IT+BhdbOZ9Q6t fqjWzsu6eYkHLkfyYAwrReySqOFN13nwU2PumAmlGDru+xDNCjJvdG6jQZUU Kvf8cnp0+Li/a/5UwTYpqoVt4Rm6fJQ6+mySbZEi2dbdxlefj+lZ5YoxQVLo FS992DqJj+iQcFd7Pylsaiyyai340OtVyDM9pPD99jMz25EP+9yaDnaBFE+M E9NjQ/koSBiZ5DRWip1pOSd1KvjIjBibZVYuQZEiLbGiko8Ul0xebakECr+j 8Ttr+Bhf0qIaXiJB4tSNMc0NfLjqv6gvK5TgyoPRG8+28fFqZN+eXQ8kqHoW PENHxMdwHatZ9mkS6H+ZUK+tL0CVsUvj2D0SlFkdG6kdLkDK5vCPXXMlsH+n 13g2UgCOAxU8do4EufvvnOHsEkA5arOns50ENxqrDfX3ChBUlOyVayPBsYjh 1kaHBFDPVPakTpPAI/+Qu/UFAY6o2URnGUhAOcSlrXgmgMZrte63Shbarjtn HNIUIqbh8MEhjSyuvdAa46AthNMqun9rPQvb+Q95P8YJsXS3IfWmjsVqC25m gIEQ+lc5hreqWZwY4We8xFQIR6+kpo3PWai+XDFexUEIPVvhD90CFuwCY5W/ g4UoDuVUnb/CIiH/WffcECE47XaHLS6z4Fj5lolChdjvXH+97BKL2YYXYzdG CiG2nKsUXGARKVVnFv4lhPq9G6brz7DgFUh58tNC+Pp350QfZdFp3dSyr1SI 9f5zpj6MYpEh0I4bVi6E3R4V+/hIFoH3/jA/+UKIGXp1YesiyPumbXuvVQvx MbbWVTWM5JvQPammSYhq2decsBDSx2jhVs43IbasndOy25+FS6+aIltDhDNT 3/X7r2Yx6taK2/PGilA9pYv1WsWiISBpdYWOCHtNYzXc3Vj80aV5vVVPhPRH k4+6uLLY9E7XRWEsgjhXeNnRhcVfFVNPr7AnnpCvvdmRRW46TL/6icBX6Mti Z7Loi+1TCwgQoXcJNNJsWNh73RF0bRZh09EUsxJrFk+1tPLbQsh87uWgASsW 1Qe7l9TvFEEW2Mc5bcGiIzDOP++oCB1LLVR7jVmMmPY07WC2CF0HU709dFms GBbx90CuCP77ms6c4bBI/mQSGJsvgs/5WbVvx5Hzp56wjC4WoXLtIas/dVhM HOVTvLWC5OP0VW3VYmEnkLaufi9CZ0W6XukoFhtz7LUnKUXgvAm7azTI4LGP VLNJRYwwt0nbI5UMNEeUqB8eJsavt3fXVAwweO67aCRvpBi/m6+N26ZgYDLa ebBgnBiL3do3V/Uz6A1yF7lZipHnnmWe/4uB49hxgkErMTSiN/B0iS8+fcfN sxFDHYN1+/oYLNfx/qo/RwzbBbO/Ov9kcL/cr+OroxheL9tjuDSDcMMddfs9 xThvn9ARJGBQXWVdM9NLDEXe1MAPfAZGUXRlz3oxRgRNGbaGuKlm5/Pl/mK8 YtefW8RjYBezr4gTKoZYtbd3GsVA8ubo7QcHxFidajxj1hcGBxOux3feFyM5 vraB08lAY4+aa8BDMaqPXLLN72CQFhKm05sjhs/ntiMexPkr59+kC8TYkT5K ee4jOa/228qh5WLs7fh9pskHBivTVUZatpA8J8eHb3/PoD1lS9PDVjHcwn7W 6BMHxTek2rWTfoaNHFvTyuDvoFTLhV0kX5FPqDlx7nTblWsoMSwShzp/b2Ew vsj/VIxcDO8Ky4jctwxu3q1aJxsQ40ZA8NUdxLZpVkYHVGi4yDuKLIlXxEly jg2nURo/5FFmE4P9S1PeXtaiEVglzM16w2DUXObSFB0aWiVliyKIL5hvCLzN oWGa0VU4mzhn1LS+bAMa8v6LW8tfM+h584xTMZXGork9jZ8bGUS8MO1yMadx 4CQn7wGxIu/E7XoLGtOjHh/cS6x7YZ19qzUNk387O3WIl/uKvbi/0VgcXH/S o4HBu1WeU8IcaDx4mVJhShyAEu6PhTQmV37/V1LPINbk6D75EpK/x+TjNeKH 3EmXNd1osJ+OPx14xeDY1YRN3atpCK/bvmkmDvIQmWW707A8LVW9RzyxtDR3 lRcNPYOt772JpZGmuyf50EhXbYiyI24xS14g8qXxs+y1jQbxiZQN1cmBNNz3 WWtU1zHY4vwyyTeYhv40V5tbxE79091nhJD9+hMiDxP3B8o66sNoRGd88lpG /E4v8PrlSBppMc8V04hzG+q2bN9F48gel4oxxCH2l36M3kej2KE++30tA2eB StHHv2jYe6a0lhEbXQvZf/9vGhUrDk/MJH4/ap6a6xEazfePjY4lznuW0WCQ SOP884BHwcSndqmd5R2n8XyEbI8H8bKu9xOPp9B4linbPJN4ylnHHu+zNNbK Zhw3Ila4ZN6x+IdGYVRe41jidrlGmPQijXEVkbOGERfkxtjVppH++asK2BoG p4O7JBev0tC1s10nIN5uuKxs6zUad62U4z8Tu7x5cOi3mzR6HqWzbcQmRzjL 1TLJ/fOkv94QK+ft12i7S2MqfmnXEX8QfWnOzKJxI3TvqpfEBTdWpu7OpnFr e9idZ//v55W/0eUR6SPpqdFT4h3qE6aOLyD9blj5uJh4+YtD3G+PaUQVDd9e RGy6m/+w8AmNGS9bFv3vwekeuxJKaRwTpNv8v/7jpyfz/iynMb937aIS4sfn jZWmFTTKHrVsKyM+u+L4y1+VNFz/0S54QRyu/H6ssoZGwxRmQg2xa7736vOv aLTM2Ha9kdgs5Pm4oEYaZz56O7cSq0yy+DC7ifR/Lke1m7jzbUr6sBYa90av 76GIi49KNre00uR/v6TrJ/H5Bf6WN9tpLAn2ZJTEkd+rxTs7aLzXOzBdnfS/ 8rZNgVM3Db5Z9n5DYnOfC/t0PtPgZb0WWBIP1VI69nyhcUXz9R4H4pK9jXXx PBqVW6b0+hFfsJ6b4i6k4ZCypnYncVTPFU9jmkaoTLcmkdjCbcen579o7Dcw NSwkVh3y7tZpCQ07J9fwRuJ/CxeEbpKRPi9WdvcSl4benGk7QMNR7fD2IeT7 vWg0hhkcpOFbF8OZRPwfkaIS2A== "]]}, Annotation[#, "Charting`Private`Tag$2768988#49"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV0nk4VG0fB/AJRZuMlCKvLIkk8kTafEWpJEULPclWoiJayFKibFFpRZKS tUJCUdkaW6VFQiVRKjmzHdp0ZsZ47+ePc53rc53vde77t2h5BTh5y7BYrHLy /Pe2ku1Y8T6Twovd6eE6v0dQn9ZnVZ1F4fYhr74FxSM4NMmpb0UuBUX9UW8D YkegG12V2JxPYdezP+WnfEbQ9ld/vtNtClyfAZf2dSM44X+x410hhTqlNY7r F47AtHck3L2YwvuTf/VkdUbQu2WvVl8JhfU28d2eSiOwtrL2+1lOwamtp+ml UIofZYXssIcU7to9HrW/R4obBtPLWVUUtrwzrG9rkUJm8sAoRQ4Fs/fhV47e k6IkblvexXoKR8cXLLqaL4WXpNFevYnc18NVZJIuBefb1RT95yRvkd4eHy3F 8Yq1RjYdFKyPLYlQ3SqFqVF569N3FIrpifp9DlL0ZmqHbPhAYceLrD56hRTW iQxn+ycK+ptGD+XMl2KUW55LCJdCkKvm89UTpShuVZZK+RSsogqXXZaTwmNV RFYMTf5vpTt9kmQYtSabhed/UUBVvPFO3jAiZWWjC6UUOHcW5iQ0D4N10+1O rzIXFlkpeHZ2GI38t/uuTeFCpFpTa3NyGKdMHOe5TuPi0BS9nraoYahW2BS2 a3DxqWyQWnxwGPOa9G8/0edin94jI1nnYbh++5FbZMlF8oTizDHaw3igFZcR tocLOUfHzwp1EkR4s9wW+nPBHjSMiKySYMXNUI1fAVw8c+rqk6mQoMXEL90/ iAs7SZTz7EIJ+uGY5hHJRWz1vUIqRYKpburJtslcTA8MWm0SIMGBtDunlTlc aBqz4rt0JCiXpMVx6rmQWXbmS6imBBK32KgDTVzcmLWuUkNdgjid7UGtz7l4 qihMCVGWIL1g3Pbzb7m44mI2GDJKgoZq77nKAi5mlnEWXvokxrQv6s3saTxE Xgg2b78hxvaV8g2P1Xjo1eC56FwT40bej+r9GjwkzKydG3xFjLl+T0tea/PQ cd+zxuCiGMt/B6edM+KhavHUsKYYMfbIt+5m2/Bg2SU7vX23GFWG8QrsfTxI B/b+lC4Qw7xN9cX5QB42St9lKZiKUXwk75zKQR4GK77HTTEm571oVJsWwsPL nMwOCwMx4gNGG2ke5+F7oplcjoYYTqXHHY2SeaCrjaMmyYvxffHRtDXVPKSY zf6j2CWCx5cJ7s21PLA0NXYEvxehMzFdZ10dD3oLnh351CHC865HBRue8JAl OZ1f+VqEkghRtXMrD47SihMXm0Q4wjn8xbuPB2XfnuCaUhHYdgfmHlfkQ3aa y1HBaRGuP540fjGbD6uz+WsPJopgsqiQGpzMh2pBdos4XgQH/f5cz+l8NPjP +qESLULCGDet5bp8THNtXOYTJoJc3ZqprMV8xFIPvE/6iPBniRYrwpuPtUtv 84ptRIgpre428+XjWZnJlPjlIqgYulYJ9vDRZnX7midE+EctJWx7IB+Lxga9 VF8iQuDfCb+XhvPhEW61ucBUBKrsLyU+y4fSFP7spdoidBm1vAmt5KNaZdon BVkRrvHYR2Vr+KDyW1mrR4ngdXOj3unHfATX+A/HjzCgdN+GXG/koyDvcbSS hMEf9W6NphY+Kn735pj9ZsAex/dR+cbHmCCF8W+/M7Dtk5cUTRSgMTK/yP8l g7HZa3IslAQIDHN8/e05g+eeiQ4cZQGcZa/luzcz2PhRMbNdVQCPks5AlycM PNqm2Eq0BOg+bWjnxmEQztE5u8ZcgDud+xY9vM+gOAO6X90EMLWjzAuuM/gZ 9lPe01MAy7pL2e7XGJg75/E+7hDgn/x1qSoZDB5NmlT61leAn7W3FE9cYci9 upc3HxCgbd3QzAPJDD54HXUviRVA6YmjceopBmNmP0qLLBIgYfPKNmkogzWy ARHDxQLsubwp6XMIg1M92l5hpQK4Zax/0HCY1J+aYHCoQgA1XrDz+SAGM8b+ W+HDEcBcrvnW0v0MTHl/2x06BLAtmKnT7stg+x1ztoZUgD4x25K9lcH9f/8q trCE4Nietp/gwkBxzMMJJ2SFcMtT+K3gzKDWdZkCpSBEoNiVLb+Zgfa4FSNl k4WY3OjgPdWRQd9OR4G9gRAXA3n8yDUMLJUm80YMhfB41eNwaTWDlEdt/SXz hCiZ3mF1exWD1couX6ctIOd17G/9sJLBrRq3D18thfjsaZu+3prBPjW/p0c2 CTEUwVoXtYT0q8GoydhZiC3ZZnuLFjPQ3E/X924VIlTpnNLHRQxamg7UrnYX YmlnvtDSgtQbFFquskeIbd2qXBUzBkOvYnMKjglxMHtqwFhjBpExmVFdt4QI zl3lz9ZlMPGwvJ1noRAzL+/fFqrDIM3XX7nvjhADJ3ad69VmULp2URZdJoS2 aMebCi1SL/t1vUwNyQvKcg9pMlibwVIweCPE9boxKw3UGbxL2tVS2C5Ea/js hBw1BjujnqeavhPiz059ZR3iiJ2pBks/ChEvn0tpTSf7NMdk7frvQti43S2a p8pgarn7mSCxEBtTFDZFT2aQld+wRTQshF22Rq4KsUmaoeYxFg2P+AbzXGWy H0eH7sSPptE/45XyCzaDIzZJr69MopGT+qPIQIlB76tqFY4OjdS0TOv/TWQQ 8Fj3o60ejaQMC0/OBAaSkoScZn0a6f43H/oQT0neYt5uRKPk7jKN++PJvFyF zv0LaUTZb7riOY5BYb/GFUV78j12hsNPeQbxV2M8uh1odF2IKbxBvNNJMKvI kca+prXnNhLPqKwsXudMY2EF/fXBGAYJSdsaT3nRyPhUdy91NINdK+oSXb1p nImxnL+J2JqZ4zjXl4ZpkqExm5jxEn1o9qfh+zD4bpIcA1/zy4PjQmlYHCx9 miHLYAWPVd4ZTkMr66rTLmLN675HbkXQeFVm7WpM3DHWQt4umkZw9cBAgwyD kuprz6fH0WizvxR+gfjMQfnz1Eka3/sNY72IV37smHEyicZxxQC10cQzz1v2 upynoetXlfVuFOmXbW6e/iUaiseWFxQSlxUHmT5Jo7H3l/liV+Kz3h+HUq7S WLp9Q40Z8V61lVU+12n4x9EcJWLtaJXV8rkkn6O6spnFQGpxZOLbfBphTQ51 t4jfC7605t6mUTnGtyaR+Kxz6XbbuzRG5+SYOBH7TVDXmVpGo2dDRM5C4tWP j/d/u09joCQz5X/EI3OcDsZU0nh2YdHPgZG/6Ox5YLG5hkZtkK9rF/H9i1pS XQ6NH2+2WD8lPr/mZN2vehqzG75klxPvkw7E1zfREGrRJ/KI7UpdHC4+o+Ea vbUnlXiWb+3knS9o9K6SK08kZmnov/+nhca4k6/HRRJ3vU7KkH1D4+is7M4g 4orYoR1v2mmUPnLX8ye+uMTdIOsdjc5b/QJv4sCBRuGBDzSKlHXnexCvzZlX Zt1N5v1miN5GrPdvcqjyZzK/03ZzthLLTJJa9n6hcSNT9pMzcXedt1xJH9lH k/FsF+KHIS+eRlE0DqvbVf2XTzYyS3Lkk7zMra+uxPt70zdp0TRabKfEeRLb p8ipDQ6S/VQ4nO1DrG/v11P7i/RT79HSAGK5UW3ZZ4doJFu/XB9C/Onekj0e Ihp+D69+PE5cuSfL2GSYxoJC1b4zxCma43+PjNCwZ+bsTif+P8hM83Q= "]]}, Annotation[#, "Charting`Private`Tag$2768988#50"]& ]}, {}, {}}, {{}, { {GrayLevel[0], AbsolutePointSize[6], AbsoluteThickness[1.6], GeometricTransformationBox[InsetBox[ StyleBox["\<\"\[FilledCircle]\"\>", StripOnInput->False, FontSize->Medium], {0., 0.}], CompressedData[" 1:eJwBRQO6/CFib1JlAwAAADMAAAABAAAAAgAAABMJIB1tsOE/UOkvN+/G87+/ LycT/bThPzPt/uojwvO/yH6A85fC4T+/z36/xrPzv52URVsA2eE/YFINneWb 87/MTPIj1ffhP2VQPtuWevO/xZpLNpge4j+GAPQa+E/zv5+gw4i2TOI/1XSb 2ywc87+D7XQ+kIHiP3IYUe9c3/K/UAsDEIC84j8Kq2juspnyv1CgaXbh/OI/ 8SKMw1pL8r86UNNeFULjP7GP0WCA9PG/qtvlbIWL4z/KTMulTpXxvwkxV/il 2OM/Luffd+4t8b+4SeUE9yjkPxFVjwmGvvC/1EmYdgR85D8ktY1KOEfwv9bi xb1l0eQ/wkq/8kiQ77+rrasrvSjlP9sS4J3Lgu6/TpsBFbeB5T9SoP55Jmbt v3eJet0I3OU/huv9cX467L8scpH+bzfmP+swYhvv/+q/ZOJgFbGT5j/WHzFd irbpv8OmZv6W8OY/8z2sEVhe6L/wVawC8k3nP17U4JpV9+a/SiiAF5er5z86 HmFidYHlv0jPazBfCeg/v2JgPJ7847/wjiqiJmfoP1VX1KWqaOK/z+PUlMzE 6D9YYRjUZ8Xgv4LnKoMyIuk/h1V+FSkl3r8SYL3EO3/pPwdSMVO/n9q/Ycec IM3b6T9/GGbCzPnWv2z8HmbMN+o/Pty87WMy078fgysJIJPqP1LXjufTkM6/ iYJHv67t6j9LPRIFH3XGv2LGQBpfR+s/fDuS1B8dvL/cdsgcF6DrPwDfos/v ZaW/KrhxxLv36z+Gh22AsXOdP/b7NoMwTuw/yqoa1Okcuj9U2aOgVqPsP5UZ Ecy2zMY/3mmgdwz37D+A/RXfX3jQP6626oAsSe0/Ij1EWuDB1T8MPEkSjJnt P+xLu72PSNs/KSQXrfnn7T9DcaFNz4ngPwhjX586NO4/pGewxCiW4z9oEsGP B37uP69jw4N3z+Y/pIR1OAfF7j9cX7dtJj7qP6bW9OTFCO8/dikmvEvu7T/F B56ppkjvP779H6kx+fA/A6I1AceD7z+eiGuqszTzP7TsIoS/uO8/dcMZLbfH 9T+FHY4T7eTvP+Ki88VX//g/AAAAAAAA8D8AAAAAAAAAQD0tuD8= "]]}, {}}, {}, {}, {}, {}}, {{{{}, {}, TagBox[ {RGBColor[1, 0, 0], Thickness[Large], Opacity[1.], LineBox[CompressedData[" 1:eJwV1Hk4FegaAHC0nSLbTbIla2p0mLSNh94mlazlWAaVuLbLNeFBliZLI1mO Uow9u+RwwrGvnzgdKiQjyk7WY4svUlzuN3+8z/v8/nxXuX+70xz5eHh4vEj8 k/Udp983zpif1Z9RO73IwWi7jqTHsMQJ2LN+YX6BWCM9MbVU4gJwtSOE/vG4 tGKIr7IxqKONp3PEBu29rKcSZrARl57IJVaky+RuyVrB+SHPrSniDX37BDtl G+hs8uoaJ+aGdrPt4u3A2CtXZJT4N4dv9U8kHEDryK76AWK2jmRlc6oTLCgn dfcSqytoF3+VdYG4ymuWXcSpfLb5Stn/hRNqVy63EVPG7mVZKN8CBtcr5xVx zUhXe7OZBxReeePWQOxx1UH/erwnsNtomRXEg2oPdKIlvCF8Zd04lzgu/UCj 0jUf8GPItKYQ6wsxtBpSb8NmhBfzMXHFQtvJRVl/8NNqqLtD7GZjw3pgFwCG N8sm3YnlOxaph7LvQLDh6B/2xA+ZoiomyoHQETY2f5n4okxOzoxzENi4VrVq EgdykoVfmgWD+sVWIVXiE6dUo63iQ8DjVtKYAHGG2JWwSIlQULwhndLyCqM7 7Qlsi5pQGIoc6C0jtrg/wqdw7T7oFw8FZxILrHgG1aaGwe0Iprg/sV93nN+c bAQcxAmWcsSm9MGKqsYImD4Y+W03MfWC8kqoXSQMebfyLbPJPEsrPWWyo4Br o2bTSGwS2+dqrPwQztA6VSyIVQ0U8iVbHgKnyuioJjFlm9vUpPMjaC1QSJQh vlm9WYLMYoC7d6RqrBkjsSMxVMv4xzAf3iboRBxCKT0cIREHTD5ZQZMmjI7q Pg5necSBvGMPU4W46777TH9LHIxMqWRsvST7s021gHr7L+hpY/xRQMz5Xw61 uysetiv4iK03knpx/ElZehJM/vK51R9hVP6zT/zlz0kwgOtjLxHbeJh+89RM hmB55xJR4qJ5oWr2dDJ8NNKYeN6AEW06XMv1YipY+EuqtddjlDgYoFO+mQac Aw+urNRi9Ku0Vc6QeTrs0RPVqyTmWp/eQWGmA2OB8Zcf8cE5f3vmsQzYmBNT +V6DkbvLKSWegQxg+xkfX67GSNSh6HnumSxgSRqNNFdiZGmVWfRlKQfmPKfZ EyyMFvvN9mRJ5kIyr0h1AnGYDcXRVCcXApvW9+sRl9q7S1bE5YKiz1FhRglG gre07985/Qx8yj3WHIoxenXvk/XOu3kgLDaQ08DE6HihyE5pCgPSRItjeJ9j 9Jr6yrZdnQGcxlpORh5GtiV+tYFWDHAbPuYMxNEVwx6jDAbs3HF9KuAZRtON zP5nRgVArw+a4OZglPZBr+Tn2ELYTt0YfJGJEf9WyHXdg0XA18XP5SSTfrn8 ZqN6qQg2v9LrzYkVu1VtRW4VgdOjLd7xJIzO5vfa99cXQeHs+8HNRIyq8+PL K6nFELj6afRYAkbzpnN1Bh3FkLGfT84zFiPz5wlvvfaygG5glk+PIvd9456h kxwLzGwD8nYTj4n+3m55kgVvtjmIh0WSft89/077Bgti/n5qeDcCowjafNcu JgsWpt33Oj7AqH7jfF+KYSkEPmlekPgTIyWThenmqDIIrOOxlwjASDJIV9M5 swzSEnt2+PljJMzMiNpTWQZabXZ8PX4Y/aCYUk3GyqD4BqLE+GLU2VjpNXSm HISrGAYb3hgFqIdsrk2UQ6HUKqvcHaMOoX37qOcqgRbtYlzogJFvxy+Q+LUa LOQDdhYYkvlRyydeU2rAqSBred4Ao5xodfq6dA24+Z6/qk783vDwJ5uLNcCp FLAt1cPop7f7vJTia+BjZ0cX6xJGwy2Lz1ina+F4xbG9Cecw0n2ZK9geUAfL k5riKxoYiZeJDPHyImCEzyTvliD/akyn7Z1WE9Tw2fJq9C6jJtenUlZzbIhb 9tZppC+jFWVtIebvLbDWd8+w6uwy4vteICyl9AbWV18bLIwsoVNbthWmL9pg +qxF4nzwEmoLPdHBOfoOIq99zxSQWkKyMbPf8xc6IY3yYWwt+wua/TY89EG9 C9ZMaMXrql9QDrf2jeDDv+HPQyAurruIBGXyFsfHu0H50NKgtcoCoruUO2Uo 9sCTQbnV3YLzaPVcwfh/gnohQZwhXP12FnkfZ5ftb/4InclaYp8ecdHwC3bU e7k+iNFLHTh3ZAatu3anHAnoh74DYanFVVPop193bTrVDsCwvjRnP20S6WbJ OZeID0Hf4GyIZP048pW5KT96fRg+xta15Wl8Rqpz5vy9RiNQdHiHtVP2KPqX 0BcK+8cIjAxfpZm9HEbbUUqRQuoozPG3xAVaDqBGmkCgOnMUpPgPW/v+6Ef/ B2CH8o0= "]], LineBox[CompressedData[" 1:eJwVzX881HcAx/HzoyHlx9VqkcxRY+ZHKinT22NdfusxMv0YkmWPNJTScs2P 6PSQ/FoZwlSu9MOPS46aB52H2Yw9VszPyo8550bc9+PXOed+rf3xejz/fFlE nAmM1KTRaB7v+9+0Lc5LUU/HMGcan/3T8Ft+pXfEnRdLArA3sTQCSnr5kmkT I1HBOB4Qf/3R3i5+/SFPrXymEFuOsRZ22nXwU7zSb/NEQuzQeGgZt9TCtxj2 GeSkTyDMoMw1EbX8vbvZ+ZucRCj/dth09mQCQra8kmn0iJCZUsyPaKiDpDNb cDb1X1y+MJ4QadqGIu2w+ECrSZiMRt28tu4l1o3Ul2u2TaLYwb6f93EvViWl Bu2Jm8LRIHMj4cRr0B6FcQX0d3B3LLcOvz6Kc8XcbHrrO5wzD33LVAnQbJuh axw7jf2WNZeCj4hg7HPuszSDGegbfp/rWjWFIbuuHlbTDLay49h9WWI8KYOV MEyM+eSdWhv4swjlOhubqcSo5IQ2nhXMo+HYskEXjYL1YFSW98w8DD5oXHNF i8J00XbxJ0vzaAlx053SpeBYoEiX6C2AsZqp5q2jELJx2Ltv+wJEJwPEfjYU 6m5YeNamLSDWJLojMYhCa0H73V02i7icfjd16DGFKoadl3a2BGsv6vicqKbQ KUrYJy6UoPhUDF3EpcCQBc6NlEtQ57uHQ3gUSp3PUkPPJRAZd7dp8ikUJw2s 8ZiQwLeMpmvTQ+GgT1GzEEvY8Ox4zgU5BWLU6L1DuQTOw9+CV5QUZv3UVIye FI7FtuYpNIKMy7E59R9K4Z0k5WasIggVSxOj7aVI3J/bXWJIkOfoUJEcLoXg 1Yv1rZYE9NbblpHtUlRPmpUY+BHU1LYJzMuXkfFzevjIQQL5dqEZ4+kyTgaK t9YEEDhV0M+7ty5jc1PTE//DBKkDhoxewTIyc7/+PSuCwE53wCl6qwynnG/N rWYR3Es7YcSolYE5TXv25geCt8HNKd6/ymB+51Ti42SCHEWjR2mfDP16Ljo+ bIK0yITsjhUZDgz3b76WS/A05HzpGc8VMNjrvXQq3v9/tP2janoFKpfEtQMP CRQ3q3fHaMjxWjz+d0UlQXzVxY+SN8qRd7gu1KOWwPRqUvldphzqTwPPpzcR 7PUXBrA4crwZ/cXlKz7Bl9/dsj/QJEdDvoXKqpXAiFtSkNMnR6xqNqOtnUD2 wP1as54CQ925ZVo9BK9sOH6dLAWeX5V+09NHMKk/ymsuVCDf9bgNZ5DAVsnW vN2ggO99e94XIwRuj2Y0iqQKbDtWwKKPEXQtvPRd3KSEpqFqn2CcIMRq8Oif bko0JvzVkTpFsBwsfD6eqUSB3a7cgBmC648zL/XwlIgTlAZZEIK+9kh37pgS foXaJnNzBNYCg+uudBWs/aJHWxYJglWO7+57qqCt0XsvT0rQ3UEtTl1R4Z96 19PhKwTVzCifiU4Vmk5zHByVBNn+h9g3tqlRaK4vUasJaj9/wTyiUuM/nyVP Nw== "]]}, Annotation[#, "Charting`Private`Tag$2769120#1"]& ], {}}, {{}, {}, {}}}, {}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->Large, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 0.9999999795918367}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.7703822798828382`*^9, 3.7703823462266283`*^9}, 3.770382394063806*^9, 3.7703824624684353`*^9, 3.77038249510159*^9, 3.770382575690296*^9, 3.7703826239005136`*^9, 3.770382661692338*^9, { 3.770383908231895*^9, 3.770383960580617*^9}, {3.770383995294565*^9, 3.770384011952156*^9}}, CellLabel-> "Out[1133]=",ExpressionUUID->"7768c230-8e27-4f80-b050-095d135f9316"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{"f", "[", "l", "]"}], ",", "l"}], "]"}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.770375533480034*^9, 3.7703755561785393`*^9}, 3.7703756622875977`*^9, {3.7703762679540777`*^9, 3.77037627450047*^9}, { 3.7703812451124973`*^9, 3.7703812558973513`*^9}, {3.770381306038788*^9, 3.770381318802061*^9}, 3.77038144852057*^9, {3.7703814803203382`*^9, 3.770381508542975*^9}, {3.7703823502165318`*^9, 3.770382405863929*^9}}, CellLabel-> "In[1112]:=",ExpressionUUID->"5dd200c9-8576-4bb1-9ead-711e9df276ca"], Cell[BoxData[ RowBox[{"{", RowBox[{ TagBox[GridBox[{ {"\[Piecewise]", GridBox[{ {"2", RowBox[{ RowBox[{"\[Rho]", "\[Equal]", RowBox[{"-", "1"}]}], "||", RowBox[{"\[Rho]", "\[Equal]", "1"}]}]}, { RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "432"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"864", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"80", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"768", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"240", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"144", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"8", "-", RowBox[{"72", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"4", " ", SuperscriptBox["#1", "5"]}], "+", SuperscriptBox["#1", "6"]}], "&"}], ",", "1"}], "]"}], RowBox[{ RowBox[{"-", "1"}], "<", "\[Rho]", "<", "1"}]}, {"\[Infinity]", TagBox["True", "PiecewiseDefault", AutoDelete->True]} }, AllowedDimensions->{2, Automatic}, Editable->True, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.84]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}, Selectable->True]} }, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.35]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "Piecewise", DeleteWithContents->True, Editable->False, SelectWithContents->True, Selectable->False], ",", RowBox[{"{", RowBox[{"l", "\[Rule]", TagBox[GridBox[{ {"\[Piecewise]", GridBox[{ {"1", RowBox[{ RowBox[{"\[Rho]", "\[Equal]", RowBox[{"-", "1"}]}], "||", RowBox[{"\[Rho]", "\[Equal]", "1"}]}]}, { RowBox[{"1", "-", FractionBox["1", SqrtBox["5"]]}], RowBox[{"\[Rho]", "\[Equal]", "0"}]}, { RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "4"], "-", RowBox[{"2", " ", SuperscriptBox["\[Rho]", "2"], " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "432"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"864", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"80", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"768", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"240", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"144", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"8", "-", RowBox[{"72", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"4", " ", SuperscriptBox["#1", "5"]}], "+", SuperscriptBox["#1", "6"]}], "&"}], ",", "1"}], "]"}], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"6", " ", SuperscriptBox["\[Rho]", "2"]}], "+", SuperscriptBox[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "432"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"864", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"80", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"768", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"240", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"144", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"8", "-", RowBox[{"72", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"4", " ", SuperscriptBox["#1", "5"]}], "+", SuperscriptBox["#1", "6"]}], "&"}], ",", "1"}], "]"}], "2"]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "8"}], "-", RowBox[{"2", " ", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "432"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"864", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"80", " ", SuperscriptBox["\[Rho]", "6"]}], "-", RowBox[{"768", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"240", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"144", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"8", "-", RowBox[{"72", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"4", " ", SuperscriptBox["#1", "5"]}], "+", SuperscriptBox["#1", "6"]}], "&"}], ",", "1"}], "]"}]}]}], ")"}], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{"5", " ", SuperscriptBox["#1", "4"]}]}], "&"}], ",", "1"}], "]"}], RowBox[{ RowBox[{ RowBox[{"-", "1"}], "<", "\[Rho]", "<", "0"}], "||", RowBox[{"0", "<", "\[Rho]", "<", "1"}]}]}, {"Indeterminate", TagBox["True", "PiecewiseDefault", AutoDelete->True]} }, AllowedDimensions->{2, Automatic}, Editable->True, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.84]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}, Selectable->True]} }, GridBoxAlignment->{ "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxItemSize->{ "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.35]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "Piecewise", DeleteWithContents->True, Editable->False, SelectWithContents->True, Selectable->False]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770375544814234*^9, 3.770375556807272*^9}, 3.7703756630465508`*^9, 3.77037577630795*^9, 3.770376117831931*^9, 3.770376274970351*^9, {3.770381240199341*^9, 3.770381256325898*^9}, { 3.770381306524642*^9, 3.770381319275289*^9}, 3.7703814497480087`*^9, { 3.770381482506709*^9, 3.7703815097738333`*^9}, {3.770382352911484*^9, 3.7703824070277777`*^9}}, CellLabel-> "Out[1112]=",ExpressionUUID->"c0c7b3a5-0f8a-4202-94c2-e80936352f50"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["electron-electron term parametrization", "Section", CellChangeTimes->{{3.770374383708254*^9, 3.770374387922638*^9}, { 3.7703751576267157`*^9, 3.770375168331292*^9}},ExpressionUUID->"2a884fa6-b0b4-4c7c-b720-\ 15880681a355"], Cell["\<\ Let\[CloseCurlyQuote]s switch to spherical coordinates which naturally \ enforce normalization\ \>", "Text", CellChangeTimes->{{3.769857007960127*^9, 3.7698570322738447`*^9}},ExpressionUUID->"693015be-a910-4ea6-9619-\ 85dcf087e76b"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"2", SuperscriptBox["\[Alpha]", "2"]}], "+", SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "\[Equal]", "1"}], "\t", "\[DoubleLeftRightArrow]", "\t", RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"], "+", SuperscriptBox["z", "2"]}], "\[Equal]", "1"}], "\t", "\[DoubleLeftRightArrow]", "\t", RowBox[{"x", "\[Equal]", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], RowBox[{"Sin", "[", "\[Theta]", "]"}], "\t", "y"}], "\[Equal]", RowBox[{ RowBox[{"Sin", "[", "\[Phi]", "]"}], RowBox[{"Sin", "[", "\[Theta]", "]"}], "\t", "z"}], "\[Equal]", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}]], "Input", CellChangeTimes->{{3.7698424853795223`*^9, 3.769842545562788*^9}, { 3.7698571943550053`*^9, 3.7698571973956957`*^9}},ExpressionUUID->"028d484c-db46-4015-8458-\ 8c8ace5ad7be"], Cell[BoxData[ RowBox[{"\[DoubleLeftRightArrow]", "\t", FrameBox[ RowBox[{ SubscriptBox["\[Beta]", "1"], "\[Equal]", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], RowBox[{"Sin", "[", "\[Theta]", "]"}], "\t", SubscriptBox["\[Beta]", "2"]}], "\[Equal]", RowBox[{ RowBox[{"Sin", "[", "\[Phi]", "]"}], RowBox[{"Sin", "[", "\[Theta]", "]"}], "\t", "\[Alpha]"}], "\[Equal]", RowBox[{ FractionBox["1", SqrtBox["2"]], RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}]]}]], "Input", CellChangeTimes->{{3.76984257360249*^9, 3.769842600108346*^9}, { 3.769843045360422*^9, 3.7698430669678698`*^9}, 3.769856661049491*^9, { 3.769857189055613*^9, 3.769857193525071*^9}},ExpressionUUID->"c678be2d-804a-4acc-99b0-\ de50424c85b9"], Cell["\<\ Within this coordinate system, the kinetic energy, electron-electron \ repulsion and external potential read\ \>", "Text", CellChangeTimes->{{3.769857040919272*^9, 3.769857078977706*^9}},ExpressionUUID->"9206cb06-9437-43fc-a835-\ 5791e46adedf"], Cell[BoxData[ RowBox[{ RowBox[{"T", "\[Equal]", RowBox[{ RowBox[{"-", SqrtBox["2"]}], " ", "t", " ", RowBox[{"Sin", "[", RowBox[{"2", " ", "\[Theta]"}], "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], "+", RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ")"}]}]}], ";", "\t", RowBox[{ SubscriptBox["V", "ee"], "\[Equal]", RowBox[{"U", " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}]}], ";", "\t", RowBox[{"V", "\[Equal]", RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], " ", RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}]}], ";"}]], "Input", CellChangeTimes->{{3.769842644691029*^9, 3.769842676065867*^9}, { 3.769843115311166*^9, 3.76984313516693*^9}},ExpressionUUID->"a9aac6cc-ca05-4d64-babe-\ 91420ab98f6d"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "4"}], "t", " ", "\[Alpha]", RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", SubscriptBox["\[Beta]", "2"]}], ")"}]}], ",", "\t", RowBox[{"U", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}], ",", "\t", RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"2", " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}]}], "}"}], "/.", RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["\[Beta]", "1"], "\[Rule]", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ",", RowBox[{ SubscriptBox["\[Beta]", "2"], "\[Rule]", RowBox[{ RowBox[{"Sin", "[", "\[Phi]", "]"}], RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ",", RowBox[{"\[Alpha]", "\[Rule]", RowBox[{ FractionBox["1", SqrtBox["2"]], RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}]}], "}"}]}], "//", "FullSimplify"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"%", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "+", RowBox[{"%", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ",", RowBox[{"%", "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}]}], "}"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"U", "\[Rule]", RowBox[{"2", "t", " ", "u"}]}], ",", RowBox[{"\[CapitalDelta]n", "\[Rule]", RowBox[{"2", "\[Rho]"}]}]}], "}"}]}], "]"}], "//", "TrigToExp"}], "//", "FullSimplify"}]}], "Input", CellChangeTimes->{{3.770310971545632*^9, 3.770311003088539*^9}, { 3.770311087496522*^9, 3.770311088167938*^9}, {3.770311204846015*^9, 3.77031121686025*^9}, {3.7703118286627817`*^9, 3.770311880021471*^9}}, CellLabel->"In[98]:=",ExpressionUUID->"e79ceedf-732c-4e34-8fe4-426dcc35cfb5"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", SqrtBox["2"]}], " ", "t", " ", RowBox[{"Sin", "[", RowBox[{"2", " ", "\[Theta]"}], "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], "+", RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ")"}]}], ",", RowBox[{"U", " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}], ",", RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"2", " ", RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}]}]}], "}"}]], "Output", CellChangeTimes->{{3.770310975283208*^9, 3.770311003501313*^9}, 3.77031109017209*^9, {3.770311207584177*^9, 3.770311217359182*^9}, 3.770311296973083*^9, {3.7703118322684937`*^9, 3.7703118805090723`*^9}}, CellLabel->"Out[98]=",ExpressionUUID->"42cc8be3-30a2-4fb4-b443-14f46342ad72"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "u"}], " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], "+", RowBox[{ SqrtBox["2"], " ", RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], "+", RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ")"}]}]}], ")"}]}], ",", RowBox[{"\[Rho]", "\[Equal]", RowBox[{ RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}]}]}], "}"}]], "Output", CellChangeTimes->{{3.770310975283208*^9, 3.770311003501313*^9}, 3.77031109017209*^9, {3.770311207584177*^9, 3.770311217359182*^9}, 3.770311296973083*^9, {3.7703118322684937`*^9, 3.770311881002561*^9}}, CellLabel->"Out[99]=",ExpressionUUID->"b3f2899d-1e7e-4dae-abf8-6a4e8f4146c4"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"\[Rho]", "\[Equal]", RowBox[{ RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}]}], ",", "\[Phi]"}], "]"}], "/.", RowBox[{ RowBox[{"C", "[", "1", "]"}], "\[Rule]", "0"}]}], "//", "FullSimplify"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"\[Rho]", "\[Equal]", RowBox[{ RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}]}], ",", "\[Theta]"}], "]"}], "/.", RowBox[{ RowBox[{"C", "[", "1", "]"}], "\[Rule]", "0"}]}], "//", "FullSimplify"}]}], "Input", CellChangeTimes->{{3.770311318030675*^9, 3.7703113289038887`*^9}, { 3.770311359899845*^9, 3.770311374740252*^9}, {3.770311450276998*^9, 3.770311450870775*^9}, {3.7715747639256897`*^9, 3.771574778172269*^9}}, CellLabel-> "In[192]:=",ExpressionUUID->"cdde2f73-f556-4227-908a-bb4a5f469559"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Phi]", "\[Rule]", RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], " ", RowBox[{"ArcCos", "[", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Phi]", "\[Rule]", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"ArcCos", "[", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}], "]"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.7703113240321503`*^9, 3.770311329334465*^9}, { 3.770311366210664*^9, 3.7703113752994337`*^9}, 3.770311451376164*^9, 3.771574779197666*^9}, CellLabel-> "Out[192]=",ExpressionUUID->"b9e0f9f2-dcc4-472d-8ea5-a1b09b281547"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", RowBox[{"-", RowBox[{"ArcSin", "[", RowBox[{ SqrtBox["\[Rho]"], " ", SqrtBox[ RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]]}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", RowBox[{"\[Pi]", "-", RowBox[{"ArcSin", "[", RowBox[{ SqrtBox["\[Rho]"], " ", SqrtBox[ RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]]}], "]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", RowBox[{"ArcSin", "[", RowBox[{ SqrtBox["\[Rho]"], " ", SqrtBox[ RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", RowBox[{"\[Pi]", "+", RowBox[{"ArcSin", "[", RowBox[{ SqrtBox["\[Rho]"], " ", SqrtBox[ RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]]}], "]"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.7703113240321503`*^9, 3.770311329334465*^9}, { 3.770311366210664*^9, 3.7703113752994337`*^9}, 3.770311451376164*^9, 3.7715747793461933`*^9}, CellLabel-> "Out[193]=",ExpressionUUID->"5c5a57ca-23cd-49b4-8574-01d78094d0e1"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "u"}], " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], "+", RowBox[{ SqrtBox["2"], " ", RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], "+", RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ")"}]}]}], ")"}]}], "/.", RowBox[{"{", RowBox[{"\[Phi]", "\[Rule]", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"ArcCos", "[", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}], "]"}]}]}], "}"}]}], "//", "FullSimplify"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "u"}], " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], "+", RowBox[{ SqrtBox["2"], " ", RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], "+", RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ")"}]}]}], ")"}]}], "/.", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", RowBox[{"ArcSin", "[", RowBox[{ SqrtBox["\[Rho]"], " ", SqrtBox[ RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]]}], "]"}]}], "}"}]}], "//", "FullSimplify"}]}], "Input", CellChangeTimes->{{3.770311987048621*^9, 3.770311988877342*^9}, { 3.770312761492845*^9, 3.7703127648405333`*^9}, {3.771574798102633*^9, 3.7715748034285707`*^9}}, CellLabel-> "In[194]:=",ExpressionUUID->"7379f121-1df1-432f-8e4b-af6c226c3c25"], Cell[BoxData[ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "+", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "-", RowBox[{"u", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ")"}]}]], "Output", CellChangeTimes->{{3.770311984983343*^9, 3.770311989818273*^9}, 3.770312766102787*^9, 3.771574804679285*^9}, CellLabel-> "Out[194]=",ExpressionUUID->"85937eb2-1bb9-4f5e-b9e9-1cff49e699f2"], Cell[BoxData[ RowBox[{ RowBox[{"2", " ", "t", " ", "u", " ", "\[Rho]", " ", RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]}], "-", RowBox[{"2", " ", SqrtBox["2"], " ", "t", " ", SqrtBox["\[Rho]"], " ", SqrtBox[ RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]], " ", SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", RowBox[{"Sec", "[", RowBox[{"2", " ", "\[Phi]"}], "]"}]}]}]], " ", RowBox[{"(", RowBox[{ RowBox[{"Cos", "[", "\[Phi]", "]"}], "+", RowBox[{"Sin", "[", "\[Phi]", "]"}]}], ")"}]}]}]], "Output", CellChangeTimes->{{3.770311984983343*^9, 3.770311989818273*^9}, 3.770312766102787*^9, 3.771574804952211*^9}, CellLabel-> "Out[195]=",ExpressionUUID->"cf01f6fa-be95-462f-aa57-8d3b6d4b252e"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{"2", " ", "t", " ", RowBox[{"(", RowBox[{"u", "+", RowBox[{ RowBox[{"Cot", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "-", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}]}], ")"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "4"}]}]}], "}"}]}], ",", "\[Theta]"}], "]"}], "//", "N"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "+", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "-", RowBox[{"u", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ")"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "4"}]}]}], "}"}]}], ",", "\[Theta]"}], "]"}], "//", "N"}]}], "Input", CellChangeTimes->{{3.770314257158298*^9, 3.770314373078603*^9}, { 3.77031473412119*^9, 3.770314741836935*^9}, {3.77031479233566*^9, 3.770314815018423*^9}, {3.77031487675154*^9, 3.7703148847545767`*^9}}, CellLabel-> "In[197]:=",ExpressionUUID->"393269bc-bd73-45ab-80c5-ceb9e07007f2"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.7247448713915889`"}], ",", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", "0.5235987755982988`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770314260169808*^9, 3.770314305841403*^9}, { 3.770314350676011*^9, 3.770314374984372*^9}, 3.770314743957213*^9, { 3.770314804717328*^9, 3.770314816187608*^9}, {3.770314877778783*^9, 3.770314885929282*^9}}, CellLabel-> "Out[197]=",ExpressionUUID->"a6ca555d-1cf7-4efc-9e3b-56c986aedf9e"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "1.060357111621661`"}], ",", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", "0.6461266350525996`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770314260169808*^9, 3.770314305841403*^9}, { 3.770314350676011*^9, 3.770314374984372*^9}, 3.770314743957213*^9, { 3.770314804717328*^9, 3.770314816187608*^9}, {3.770314877778783*^9, 3.7703148865010633`*^9}}, CellLabel-> "Out[198]=",ExpressionUUID->"9c917fcf-4cb3-4275-bde3-32bce3caf787"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"min", "=", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"res", "=", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "+", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "-", RowBox[{"u", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ")"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], ",", "\[Theta]"}], "]"}], "//", "N"}]}], ";", RowBox[{"{", RowBox[{ RowBox[{"Mod", "[", RowBox[{ RowBox[{"\[Theta]", "/.", RowBox[{ "res", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ",", RowBox[{"\[Pi]", "/", "2"}]}], "]"}], ",", RowBox[{ RowBox[{"res", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "//", "N"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "20"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.770355348192564*^9, 3.770355411408017*^9}, { 3.7703554904566393`*^9, 3.7703555593208637`*^9}, {3.770355600629633*^9, 3.770355614226286*^9}},ExpressionUUID->"0b296406-def5-4295-9b09-\ 805345385cc1"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.5535743588970377`", ",", RowBox[{"-", "1.2360679774997898`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5580076735912257`", ",", RowBox[{"-", "1.2287649782510355`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.570819447674565`", ",", RowBox[{"-", "1.2070237210137131`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5907683954616997`", ",", RowBox[{"-", "1.1712956078259347`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6163362351745704`", ",", RowBox[{"-", "1.1221927434898866`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6461266350525996`", ",", RowBox[{"-", "1.060357111621661`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6790497612317301`", ",", RowBox[{"-", "0.9863629094273494`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7143439691513855`", ",", RowBox[{"-", "0.900658071270539`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7515267814191012`", ",", RowBox[{"-", "0.8035327739862582`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.790333917785218`", ",", RowBox[{"-", "0.6951000727876492`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8306705511305916`", ",", RowBox[{"-", "0.5752766836983293`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.8725811562545335`", ",", RowBox[{"-", "0.44375421463624803`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.9162386906270519`", ",", RowBox[{"-", "0.29995058266235086`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.9619545845211089`", ",", RowBox[{"-", "0.14292641840471904`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"1.0102160122170032`", ",", "0.028761647666562053`"}], "}"}], ",", RowBox[{"{", RowBox[{"1.0617684779914527`", ",", "0.21733030513889748`"}], "}"}], ",", RowBox[{"{", RowBox[{"1.1177908761395954`", ",", "0.42630380180816013`"}], "}"}], ",", RowBox[{"{", RowBox[{"1.1802987230224822`", ",", "0.6617105494519643`"}], "}"}], ",", RowBox[{"{", RowBox[{"1.253258368118596`", ",", "0.9353388476168182`"}], "}"}], ",", RowBox[{"{", RowBox[{"1.3469808025072676`", ",", "1.277422946975614`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.`", ",", "2.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770355379536401*^9, 3.770355418067244*^9}, 3.7703555334015083`*^9, 3.7703555668294363`*^9, 3.770355610818757*^9, 3.770355647029393*^9}, CellLabel-> "Out[286]=",ExpressionUUID->"9c14db69-ac0e-4f65-a417-2db08dda7c32"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{"Flatten", "[", "\[IndentingNewLine]", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", "1"}], ",", RowBox[{"u", "=", "1"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"2", " ", "t", " ", RowBox[{"(", RowBox[{"u", "+", RowBox[{ RowBox[{"Cot", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "-", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}]}], ")"}], " ", SuperscriptBox[ RowBox[{"Sin", "[", "\[Theta]", "]"}], "2"]}], ",", RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "+", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "-", RowBox[{"u", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ")"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Theta]", ",", "0", ",", RowBox[{"\[Pi]", "/", "2"}]}], "}"}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}], "\[IndentingNewLine]", "]"}], "\[IndentingNewLine]", ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "20"}]}], "}"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{"min", ",", RowBox[{"PlotStyle", "\[Rule]", "Black"}], ",", RowBox[{"PlotMarkers", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Medium"}], "}"}]}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "\[IndentingNewLine]", "]"}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.770311464000741*^9, 3.770311479000958*^9}, 3.770312025786541*^9, {3.770312057939768*^9, 3.770312064200095*^9}, { 3.770312783505554*^9, 3.770312952263651*^9}, {3.770312984088627*^9, 3.770313093380691*^9}, 3.7703132414104967`*^9, {3.7703136235938263`*^9, 3.770313623718665*^9}, {3.770313742025963*^9, 3.7703137802163687`*^9}, { 3.770314623412835*^9, 3.770314623649373*^9}, {3.770355425518313*^9, 3.770355467586473*^9}, 3.770355580485289*^9, {3.770355622574527*^9, 3.7703556568037853`*^9}}, CellLabel-> "In[288]:=",ExpressionUUID->"2f6f533b-d037-45aa-91af-162901d9b70c"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk0lV0bB2BDhgZFSZHM5K2UwluG/Igo3soQSkhEUilzoYESkuiYUoaj TCkic4YkFEniNMhQmULm4ZznEM/3fHutvfa6/tjDve977bWlHS6YOXFxcHCM Uv3/I/erZc29aie1+w6WxKvf6NGSH6rSlIgG+MZ2NORuStGey9t+qp12GPvV 2rwVNr3Szmfis1CuFZK4Wkr+BH/S7hd2IYppJ2CUvyTtp8IP7Tui7wRyyx3h eHag3txyUDtD0SaFI/c01susav8YPKldvWtC2Zx+FhPXLxY/aWdpfze4WZNO u4COi0tFSxRI7bnNKzYH1LijxezeW/9iboTs/OKRXu6J6JJRYzVLfghr0Mub C71B/xnzKcRDAKm6rkuIHF+IR/rcLAsWwrYDqgelMy9jWODUQf8oYZSbLMYa 0f1R5LFDOKx9HT6foG1Kol3DZOhUY4iCJPJVtu3urbuOo0Pxclqx0vDdFd3p WxMIpvjExLFiWSyBrXxq+Q3InazK5rFUROPemga10ptw2qtsEs3YjHsGm9wa C4Ohc7Rtap+HEiQOTRZP54TgsI1z3Z3gHegztTwemh2Kvav8hTdyq+CpRTkp nhmGu37ztxGlit22wfsN6OHgaMi4o9G+C2bnRL/fp0ViseY8F68CsGI3XsUZ RqHo37Rjq6N0MFHmLvSrLgrjm7qthmN0UVz5pci75h7kU97wzBTpQa+Ovphc Ho0Ke5mD5yz2Q8GwzWRIPQa02tULVVEHsKyB57FKaQxSfOPr29uM0NLkaviu MBZWyXutTrsfhC1DNWoyJx7ynhfWTtw0hY7l6R7NrfdBxOsUlOqaQe5bguqt 7PvI3p/A78RljuGOxW9imQmw+l6d7RJ5BL6976T16Q/hZF/nLfbNCvembAri aCkYaPmQIS53AhFrH2hVC9ChsizCaaeYPVrzgyXVzOiQKs4SS0mzx/Fhm36J Djqkxxf3mVWfhNvx5e5TI6nYMlQUKLHmFGL2uIQmCKahrzmdf5/CGbS3m59d aZGGu6LDRmOtZyDhg0M3EtIQ7qd09UegKzJzRYTPy6SjvutKcMLAWbyUrEvR Uc0Az/uyXNf3bvjBKVPy2yoLNvObPmoEekAuWeCBTWIWwjT5Ot8PecBFgx3w 6WcWdOVve14398SUR8ve8jNPUL3wj9yRzV5Y0ne1+a5/Nibrlxek9Xtjc31H v1rKM3y80xDQS7sMzTqjZXs985Bn/F/0h97rEGRkfNwVnYchcbnEOPlA9PVw xSoV5EFQLEy3+3Qg7nKUS4pO56HA/qzp0GggejS3qE145ON37siqMTIIoS+W 2yd7vMClN506uZrB+JLSVDTnXogUq2uJQ0K38TRX0X/iXiEuvX2aeMXxNq5X 3tQZyC/E1/P96ZFFt/FPh9b7T5OFeCbO+UrpeDgCRHJ+ZrkXwdgy08/02R3I RkQst3IvhgGPlddO50hc9Dt0suBiKXSXnuwSTaTByE0riz+qFCUftYwa39Mg 67B53PZ5KTwD/k4Vz9Pw5QDvFf6xUszrZ47o20Rjj2jVfduzZXj91G67ilQM lpUqtfA5vwRXuZSNZUEs0mdXwOZ4BTZk7+lL5U3A1aG54Hy/Coi3OLDa9iTg aNdgE++DCvBuu9Or652AFXW11vnfKnC3NVn9U18CPGICfHgtK8H17tfVyvoH 0FEZyckzqQK7WMCzITYR50ud7nLJVsN86PMuY2U69T6YSnGqVqN1viLYkKq7 iXatF6R+NSSfT9c7e9HhNb/my1/naix8yBFdWUaHn3bNRlZ2NXq/Hq8g9VJx q1Yi58/O14gzedN8zv4R6C1f3zP21qDl1OBpm4I0MAYPLM10qMXOr7mn5quf YDxBcd8Nj1r4h2Wdrx98gmXGfIEngmrhbfrd5LlgNnRyaol1j2rBfVUk8bt9 Np66YzD0Vy2Clbs44rmeImhO9a2rfR1cGjg/pxk/w/YVUsHb7Orxsz+/lWsm F7e3MzmKj73Dz+WiNQmHXsB9y7vY6vQmvA+SsA7ZXYY5x7O5XW4tUOekcyQG VcOh0tIkyrkVm34/Hi6IrYXjJKO6OpQB2cZrHmI+DbijXHIh49YX1F44IT59 rhlc1SW7bvp9wxrHsJ12jE8Q2mzc/OP+d+y3KA/o6WRgf8rexxO0Tvi3et1U 6PqKdeNNBtdKulGp+7FM1KgDD96+5OQ+8xNFPPH13C3d0NqoS0qd+oVw/iqW wsZf2PJTsO+KVw8MtDrsXfl6kZO12qXIoxcqWv+4HOzuQ0C3bduWW31Y+yfU 8MfgANy1dhsnx/RDWV7SUmlmEHMp+g5/ogbAMXNofWDvMFouPrD3ffQb864v f4lwjULdUGaxK3UQZU0PeVrIMTTsU8/SSRyC/+XRHB2/CaTnJ6j3PB3GUOyH MOOwSayV3epq9+QPkvenjubfnEIrJ3+QaMUIPjPw7zHaNIr4PTNaGkZRqpWy TiR+BlvXCro61I3hw1x6aXHwLMbvMoVVvowjq6iv+GIQE7IhIdsvuE5gsqbq ZdFpFnqsO77v/T2BaZbH9+O6BPb3t7GL3CYxwZhSpMuxccnDyUVkdBKS0l4x 3uNsHCp+aCTiMwXtlvDPJ6vnMPbXNYCbOQWR+O0jdpfmkfo1sNDNcxrnH/8+ 81j6L+Zc9thfnp+GmdDshlVNf7Fx4d5xd78ZRCiPHF1nt4ABw/BG/iWzmFzr 0OY3uoA3Ck2QCJ/FUWx799B1Ea78GUuklzLh1PIq4kfLIt5zhUboLWfCSM+o wL91EVsXzog4CzBRnfegUYSxiPFJJcWnQkz0eK5vPvB1EV4dRcZqYkxIJR2V f9y1iCu5dbQDW5gYZryYlxleRNSRfimPg0yI1XMEWXKRKKHL7Xlzj4mVOUd4 Q7aTkCP1/V9HM3HWy5F4q0wiytap7FUsE6KSgmy+nSRcxDLUKhKYiC2blg9W JSEWs2lbUSoTH0LLt3ipkwgI2SyZSX1SfvzV+CKnR2KvmzJn+Ccm9q32k26x IJHbZIKwNiayd428nrIksWGL+5WQz0xseJPkJnyUxMzvfPaNdsrbfUeOWJNI P6kyFfCLCX/6qkuNdiT4Lf7tdZtkwvmt66uQ0ySaNbXqzIRYuEMGxxldInG7 1HveYA0LpgYTQQcukzBUe75Dcy0L6F12w9CPRPU2mWRZURbi7glX6QSQKJDm 952RYkF8hrFR8TqJ+3wMxThlFtKqhXwbQ0g4tp29036YhXnZ1C22cSSkTNJr PpiywNJrcteOJ9HZ1E28NmfBRKu7QeI+Cct6U6dsKxa+aQY+70wgsb9sl7b/ CRYUNEwOH0wisS2Fe0L8Agtn5jM+c6aRIFwfmtvfZWHGrCGtJI9EpN9jvmtR LOz4xz8pPJ+Ewu2n5Uk0FjIerwqwe0HC4km5bEccC7p26cMchSRe/O6Ytkhh wWr7cPjuEhLnTonHGOexYB7wX6tHJYmftkmMf1tZyOGQWrmmgYTv+fRQCwYL V62ZmW8or7ySo+X1hYUo9ry8ZyOJPYmVafnfWbjQ4tjc/J7Eg+9dXlt7WQiq MP14qZnEESuJtTIzLOR3GoTEt5F4Z5JiISBCIGI67zrZScK1tr+Kbz2B3ORA uRtdJAR2b1XkEiNgwL/wkaebhJlk2RxzI4HXyow9/D9IdIy2pvyUp+Z3b/Li /EVi7DbvcIEagbX1xfp1fVT9Lf5nnruLgOLn2BPq/SRUPKIrstQJfB3JCHxG +dIxqcikPQTyxfU6IgdIcClqqIbso/aTftRrNEhibd35q9YWBCrrpfVof0iU 7i78fcSKwN3h2Q9MytbP5kwOHyPgF087YT1CIjk6RFbfllpfVyBeYpSEokPq OyUnAtdkTlo+HCOhRTJWc3oTUHG5JuQ8SaLbY0PAvA8B1qAMbznlwIGT/bOX qPPmqXKumiJR/2GsZDiAAE/83WWFlA8n8tsybhKIfx15ZmqahIO6VmZmDAHD ywlHdJgkzox+mO2MI2AtZpUbQfli6gn91QkEtvOUtrRTvrb0xq+AJAKdD/+7 4MYikdjesMEsg0DhLrk1YQSJxxHHXUOyCJz6Y5ffRDlbd7S0IpuAkqjQ+lVs EmVPBC03PSewseqtdhTlL5etov6WEPC2YU7cmCPRpTTUveMlgTdnTrVWUu77 5ad0uoLAfUG5ACbl6QPJjZ+qCZQv3FI8NU9S/6b+JZkNBGaNXfqU/5JY1+xj 3vmegIP3ON9JyhJB/I+EmgkkGmZNR1JWGt6CgFbqvvPpssOUjV56XDbtIKBg fag/coGEqduSd7e6qPz3chsVUz4qEydS8YPKl/Annw7Kp2+XFSj0ETivmqko s0jCTduYy2aAwMir7Bw9yj5TnSb3BglIbyufc6R805pjbH6EgMkUMUKnHL6S prVjnEDIY2laJWVajWy48ySB0dGD5DfKqZsNFT/NEtBY9mTHCpJEVvc3H16C QNhsG1OWch7NtU5zjqqPZ3M3NChXzUU4ZCwSKC1RZTpSrsuVzO/gYKOnR7/D h3KTQz4pyM2GRphRaChlhojeIQMeNmZM9RfuU+5oZCT687Gx/q+yRhblnqvO f/KWsuFitwrFlId3EuoDy9m4fLp7+RvKkwNhoRtWsvFwYxK9mTLxYMNXE0E2 xpKNFr5RJg/lyN9azcYR6QHpHsq83PAqF2bDd8pt5TBlgZKWmgkRNup9+2om KAufdRBSEGUjYJsBmJQ3SM6cOL6BjYSn0VQ5kJBpC86N2kjF87CJSg+JzSHr Fuok2eh7M0GFS2KH5hPjeWn2/+f+v+F/5LqviQ== "]]}, Annotation[#, "Charting`Private`Tag$2381370#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8lFsYB3BZIl03XJSSLUtRpFIUPaEoSopkzVLKlq1SlhJJbsoyIRVJ srbIliV1EIVQ2XfzjhkkMTNv9mXuuX/N5/s583nfc877nN955Jy9T7pwc3Fx rVzBxfX/Lw8SbB7SdNr/iOlWP6QZ+lHx58d90g8AzkZ2eanGOaD5t+rnuinH oXxT2B4y2hsxxFxn31EcwKGsTXb0bgjqMQyvzqB4Q1+X38+lsBjU7kBRTqGE gNVLpVyFS6nopKdkTxIlBkKCxBd4zfNQHNuuMJGSCscF8hRHhBHaV2ssqH/p LezImn8pVfUN+QSaOhX6lIJzCM/8smwnuljqEs29qRLq+Drulo72o7bRI6uy nGvgRkq37lcvGrqrPs31zroOXHhJXkogA/mq1iVUZjSCy2ePiL33RtH8WY83 /V7fYUW/irm02S/k/MHSLPZ8CwR4GzevyvmNzrLaKisj28BbbdpAhTWJ7m0v 8c6M6AAq31/rfUaZqGFH5/CV6A5wg4sGfb+YSEBzxv5QYgfYH6nwN5xkonDt PUfpGR3AeWI+LzbNREH6JZvlaztg/HyF92MeFnK3KCFSeDpBST9s2FCahYyu lZgn3OyEHxMuzxVOshB3Zcme8MAukAtrzR0tZKFcIdHMpbAuSEj6cUa8hIVO 2nqKXY3qgl0PbxZDOQulT8uy3JK7wEvxb+P7lSx0cNvd3OMfu2Dxffmqv5pY KOKx3cYN3N2QJBJS8JDBQoJXVvAU/NsNQZrJqsNibCSiYtI8mNQDyaf7T1t4 stEwf6pI3bMeCEmMWlHhxUblDLbF2+weMLjEFSfny0bn0h733iztAd+j2Y7D V9iodN3YqFxXD7xOGvxoGcJGZ/j/5Tm3thecvX9YtsSx0Sv6Z63RhF6YdHw5 v7OYjUKr1wd/T+kF9wDxtVYlbGT5zAuVZvRC1q5OscAyNuKykzD8t7gXXG36 Cks+sJF5q4u5SjseFzMLlvzMRvNVvF6eYn2w+pXD+qsdbHQ4VT+dSemDM73c bx5NsdGduu/9YU/6YF14xXjaDBt9Zp1ZJ/6iD3SXdHKy5tjo0MGg+9rFfbB+ YenxyyU20v9ZeDWssw/u+AXZJ/CRSGen4lExqX4QWtexnylGou1f+Kf2ZPSD fYjIzWoNEnkzE9QbXvdDA6m6M3Anid5IKrjbveuHAIlqB3VNEm3zPDB480s/ VMnQFShaJFIRCaiv/9kPHteSbbWBRAq2Yym2agPAZ+ro+PdREq2dbDQMKRmA MOmmxR9nSZQUh5x+ogHgfFqQ2uFConW7CoLN6waA/3l6Q8x57ICHBcrdA5AZ vNxk4Eai9TzO0t/nBwCsDf2ivUgkvXZmSnb/IJjY9Ei9uUaip2U/haMMB2HT QsaqkQASydj1qU6ZDkLhseCwjUEkkk2rcqp3GIQ5C3Ltreskkle91+QbOggT ERXftoeRSAnkMqprBqGC2uEoEUWiTOKfyq1Ng1D2IJl38z08Hr6yN7F9EKr7 tuzcc59EyvW/hD2GB4Fma7bdNIZE8VtsP67ipUIbasg+84BEiYWKKgWKVFgX ygpb9YREHbype0a2UOFreW0DiS1hue6QlBoVLJlHknuTSfRwVtAxYjcVBOzl +9Kf4v3RZSbYGFHBYbN9k8RzEj3+Ur6Cx40KCdNdrhHZJGJS3wZMelLBauuL 3To5JDKaz2T1+lAh44H74CT2n60PiKJrVFCgfqgye0kiU4pH1flIKrQIWtXN vibRi5dO2ub3qDAe0u6Z8oZECzWn8yGWCtXmC78gj0TZMwZp65Ko0CQnGXjj LYm47aVCG7KoINz9oI0oIJGVv+jcu5dUcB04cuxKIYnyYgR80/OosKLA/tnK IhLZVf9xDC6hQvZkULt8MYneKTcdUPtChSmNzEC9EhJ5sK9zUYapsLG8LGft exJVr7587cYYFUY0g2sisdcpujPdJ6hgrSJbNoP9+bQl1WCaCj6/WerfKvD3 /KBWOcVHwKSKoPm5jyTy71DQoq0iYKhFQacGu2ly/dtmIQL0tk8uyyESBcrz P8sSJ8DuabBIJ3bbncEQa0UCXKPobspVuH7T2mcObSHAce+wjD92aPlX7x3b CHgo55VXja32u8RhtSYBG44v25yqJlH4yjedM1oE2H5a8n+C3Svz4jhdh4AP X309B7EjT8bCh4MELDtmDTl+ItGAR0RJzmEC8hScXJ5ia94OVk88SoDiWEhl NzatxFXG24IAXYsBbuMaEmn9OPPQ1gq/X2vt2A3smDGLNYftCFB6mpWbj62z UY8je44ASld1iXAtiQ7btfk5u+L58AfmHsC2eHJhON0T+4OduBe2Y8+8NcOH AP6aC7NJ2B6S0U1KVwjIFU0yr8L2t5LTcw0g4GzzmNIIdtjDoqKc6wQoGNv7 CX7G9Sfe+2RrBAGo4KHvEexMC681XncJeKViq+iCXfBgxa28aAK+XtM8cQP7 Y0v8NJNCgE67wlQ8dr3IZvcdDwmYz1AWycFuM3vff+kJAd9u6GSUY1NjTE8U pxLgLOecX4893kzUTKcToHL9oWYH9qzQFS2tbAKC8no1qNi8xwReBbwiIIRH LXMEW/jeE5n3bwnYwb5PGceW+qr2YLGIAA/5hekJbGXB6pX7ywjocL3S+r93 HDkVGPKBgOkvi8r//39/5Ojvyiq8vz5xf4axjb8EOXF/xvuPdmoPYluuXNNu 0EDACX36VBu286Hnh283E6BRkK5Sh+0VrlnxuYWA39N+naXYgZ/q1AU6CRBR Ml/MxL7NbZd+pJcATtihRxTsWL1JiahBAlg3TN4EYSffDLvbOETAVOn5fc7Y 2Uh8WWiUAOZS0gFD7KLlbN/j4wSkHqZ/UMau1NVhxDIJeFBlXLgSuzH4m1XL Hzwf1Cw7hL/f0PwUnFrC9X9H+1w89oT2v4WJK2iQM6S41w17/pqUchcfDQpG 90buwxad0f/b9m8aIIHxe124vqR3d4Qmi9LARSHGIB1b5YrbVL8EDSZ/uvp5 YOuRMX2OMjQQ8Pyu9QfXr89kX+757TSQVfjpOoLrP1jNRzp7Fw0GFcuJlP/P w0Ueyk8tGmR7DLecwE79tSXAU48GQlfPSxfg89U84m/kd5IGfsGZNhaVJOpR EnxfaEmDzcfYidP4vDJcUtSmbPB8fOpNErEXhz6JXztLA14pTZlmfN5VqcL0 65dp0LK68aLMB5x3I7LV/tdoUGv4bEMxzgufie3PvINpsMroUcJh7KJFMzun cBpYBolNuOJ80ZGMazsYT4PeO6RGTBmJzsimFegm4ec1v9X7B/umcn7s7mQa qKs0bkwoJVGN5o+jm1/QoNJaZx8F59nRkyK1q4to0NhBX+2H887LWi6dt5QG 1gKXQ+g4D2MdNUKX3tMg5Wg6ssBu8zqhO/mJBrue8WWq4fy0i4orbmmlwX3h ntV1OG89a0QyH5E04BBaB+Nwfkd/lQunzNBg5SmdCGouid62aDhHLdCgnXo9 YRv2H+oJ6es8Q5AbNrKhCt8PwUtxiY7/DIHjQUp9UwaJ7u0WvaO8cwj2bH1e cD2VRK+zRV2L/YZgk0KuuFYczrN2pMdzdQgsX7+03hqL58N9ccOJoCFwzesV lMb3m6Ddl+bxW0OwGCVePIfvw/NrgjUVEvD7xGRVKZE4j/0Z3A9KhuD35uw8 oxB8HxqUpvgsDsEQyVdc647zxsfl6kcuOphcPV13Ad/n+imiJ/7io4NyeoYJ vyuJWNOevNlCdHBXffp8P+4HTHPlPAal6bBAtMdHO5BIQCRKy1SPDu9zc9MK zfH6BuxbVSPoUHBvRvafvXj9RropLnfpoHBvwdgD9yOe+VIXUqPpIFQqylW1 m0S24b3zog/pIFDAWu2C+5m9Ktby81l0MI/98DpmK4nmrlj41tXTIfXH1V3e 0jgPhUzWuAgxwMjli5oVFz4//irdT0UYwG8qPeu0zEbnqavSu8QZsKsi3sxt Efd3hXW7j0oz4K78xTyfWTbStDY8s1OdAesuvd3szGSjPy/0Xq84wYDW/h1b vg+yka+OlsnTeAbESaS6dlfgftArPiQmiQEiqXx2FeVsFJ3KLLyZzIC+8/k7 U0rZKJc7R+rsCwbQyuxirYrYiFYnOaFcxADKxwzudy/ZyOLUQmx+KwNUVe6M rn7MRru9PnbUiA6DvKr7KwXcv86nHnT+FTsMLrdeSIgqstH+GV2KRsIwcOcz DHfL437VdE/11UfD4Joez28lw0YCS1vkeZ8Pg+8joX3xkmwkbrOGJlWI3a3h MynERtvFepxM24dBZIhPX2OahVwivZ3yJUfg6E4+HnoNC333eex49fkIMGaD wkVtWUjbSH65P20UjCe4dSWCmaj+kHb2geSfMN/8g3sH7yTKyH+kTXs5Bg++ bFlZnDaOxDdtdT+T8wvMbjPtzqmMoZYVAmGSFePwaSzlrwHdEVQscCnze/1v eHNI/720HB1tFRd2d66dgMZRXd4aPgJNRk+L7eyYBKP9CtpFQz1o05076t7u TLhSeOiNV1crotn09uiPMOGulqzg3gP16DCjda7YiwWJWXqRekQ+uubn4irx mwX+7k3Lt4xegum7J8YS/mw4E2gZ7+ZZBxOL7sE802w4sl8ELae3QVpnaJHX JRLsLztxU0T6Yd5V1zFggQSDczmXarYNwcalOFvfwD8grDIy+DR2BIaNohoE eKdgubd/MsMGr0upEaSjpuC0gi+x918muAtk8sqtmoYZSdNvEhVsKHmmoPsp bhpCZWiylhumoHmfTu1JkRnYK3faWPjYDMy6PzF3jJ6BfvvQ3DLPOagzSz0l JDELW/jjA069XQBnbZ2srPhZOBaoc+Vc1RK4/W6a6kuchenDoxWhDUvgk+Zw UPTRLMzLJ8yktC5ByKpbRHDKLAgcVDVoZSxBcnf9hpOZs6BYNyCjIbgMHQGn YxdLZuGbt7lF2cllMC73CzjROwthkSbt07RlOOHFWxfRPwvqqeeUWL+WwUo+ UaJicBZcjvhajP1Zhgt3ywqV6LMQYZ5zsHslB8JtuCYWxvH44mXnHBUOfJy/ 75y5jJ+n2TAv4seB2jcy+b1cc3DbUr9+LpADjc75HGGeOditXOdGvcWB3oa2 5CD+ORALMpTOTeDA7OMNnWbCc2BySUJfvYwDHNPXihGicxA6wxMtVM2BlTxw +b3YHKDG+MyxBg6IeTiLKEnOQfvU+N60Pg5skPnjYLthDrY12BQHMjgg33r7 TezGOXjGLJ07OcEBlTtrl2pl5uAC3YZfZYYDGvtyTBbk5sBaK76fw+HAf8si 90Y= "]]}, Annotation[#, "Charting`Private`Tag$2381370#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1Ak01XkbB3DbRDVNFC0koiRpMb0t1m9JERNSujOaMLekyFaiJLSMvUjy ki3KRaKRqZjor6LB3Gu5DLKHCNmy/P/Xcn/vfZ9znvM7n/Oc85zfec5znnVs DxsnCTExsRhR/v+9oMazMuvgQudpwA5vVhelp6BrvHeAC3nb7TP09U7qqZXt FtUZLu56DC1686iDWhvutUpsMQ8JXJVgM8kOKrrstmSXEg9hajsD1wa2UxIk e4TS5oHN4bVt/L6d8tb98DHVkIfEqfVhchltVN/F7rJASx6OmCzWrT3YRlV9 UUyEJw8fFu39Jze5lTJQ3x2scp2H/m5cDrVupfJOHvUid3lIiigpt5JupWL4 EaZUAQ8uE55p9wJaKKklWT+mlvGgq03MDxm1UD6mZcqB//Lwnb2ym7VYC2VX PDdhRPOgn2kU6BL+kVLjuD18o1cNznqz/A3Pm6nYrrCIFItq3LM52O0a2Ewt UOL4BPxajVssG++mw83UYFTHT0YB1ajqYTbwh5uo51esBCVvq+HxcD/S9zRR 6/907U3mVyNiqu0PyyVNVNxISM21nmqsru8vftbdSPmdKs0w/K4Gmx3lV52P aqSMD+vYlJjVQDfReZ4Z/ZeqV12eU1xTA8P+5z4HKhqomVOuee3utZjlhHmw XvMpR7mJy8U+tQj2S5eoT+FT5W/89icG1EJ8p+ZU4A0+Fb06vPnnO7WQg5P+ OXM+tbEmS6Ihtxbr7fyv2rXVUcf0+o5Xfa3FJRtDr07pOipP9jfy0qUObI+0 esOxaopdctw6+gwf9ObMJ6rGldSPL1ctW+3Bx+KUwi9uyyspiWct9Wm+fFzQ U7Pv7K2g0h/aswpC+YjJmCzWDq2gum+esW98wofD+K+R7Nq/Kba5z/k1o3xo lXst5535QLGb7odm+dZjNkfBKDPrPXVqvKG0NLQBOZ4+7QfbiqnI7a88OMGN 4KX3FRouzaAkSl/tvuXXjNR/561VfnsAOS2L6s74FtQMhKdMFRXCLNX40VhM GzjEe09aSRlWjnIPBr7qgNDUmgzX8vDg77/EJc91wUI91VefXQ8D5X1E9fQn PN5w2tI5rgmbu2R7r3l3Y+Maow2K29qQm7Xs7IsLPbgffCNGfl8X/DtO1m8O 7sWiG1WSssnd8DLYY5ES+xmjJzJu2Iz3YibVhD0U3YdVgrgDbJV+1Ho+cPRN 74eeO2v3rP8AdE3VhO1pXxB0PF7qYv4QKg/oZu1NGsDVkLrBS83DyMhP0O3O GUTIK079oPwYFNS1XeyzhyB0kbj/SWMcfHGZG6uLv0Lxo+Lppxbf8ELmIqe2 chj7xCICvjlNQFtB1oVdPoJLV1iZRc6TGL0zLb+jcRTbFrvusLo8BfWQkG0e LmPwuWYjbucxjW671hbj/jHcWR6iVfELDbPP9YIX7uOIGrVzSLZkcPmC09kV w+OQEDcbstgkgOXLRPMVPt9gS+2/1bloBiNzLv6S099QmNcQydTNIK3p+p/u FyeQ8sihNC9sFjNnDR2vzE4gI/v3IOf9c1Cev3vCy28S95zu5p3rmUOfaUSV jNQUvoQk6Gddn8d7DS7WRkwhaJt/t/ISIVxkOFLrFk7DUaitfydIiFcP1xu+ vzuNY83ekkeGhVhPTK6+vTeNYe7DYx9GhIg+6VRE3Z/G8SCr53pjQpxV5Ows TpiGTNnXGNUJIRRjN259kSbqZ7etv4sRwj9ESyUzfxoFs4e4O6QIjN23i0fU TeOXG8FL1RQJqvUNym3kaHCqTnSt2U8QXnhp9uByGvyCuFxLEwLTnc909BVo lPA/RwYeICjdqpaivprGo+Dw6x2mBAXrZHwnVWmcfnRp392fCOKlGzTjttNQ N4FslS3BqXrXyI9WNJaSrqhQZwJV64x3vCM0/KfOByedJWjjdjBvj9LYau9z +9k5guMfjjg9YdE4zOJz+a4EZkW7ja460FDJd176gyfB1lTJsTUeNIbZcwms ywSMS+JRxzs0XmYf9d0VShDl90g6MJrGk8zhvfvCCDTCc14nx9CoGZ0dMQ8n sM1+rd4aR2PdRmPGLpLgeX/rhG0qjRx62Ru3aILzp9fEWvxBo7FocrF9PEHX yeSGXXwaye077c9lEvi6ZYTaNtB4fmY+xTqL4IdruQbejTTimbJ3u7IJDJNK Hue30LjQpFVAnhA8aGn31u6hUbrnP7tu5REcY61VUJuk4bMttpj1gqDCOtV2 yQoGKzZahmm+I3Ap+/xGehWD+N7H33eKvGSPtqaEIoPs+Ia42PcENipFM9PK DCYOZ1BzZQStw/zUrg0MPNb8yn77N8FI+ILBgp0M7v/E71PiESiUuwXY2TIo 84kpU2giKNzzZ/8xFgPNi6Urc0W2ezpjbfULAwSt9NrfTJByL0Td5CQDUr51 l9tHAk12WsUWJ0Z0T0IWvmglMCANy8QvMeAu1KtT6CJg6xpkZsYycO9LqlL6 QnBumDfVFscgs5V6myayZ5qDybIEBgFD80EaAwSBC29+8k9m0D9YzNIeJEj6 WKlkw2GQcLPPadNXgsYrrOi5Vwy+xO6SGBglaN8y0KHzF4N56YgrJ8YIej/5 bXEuZuB8+59CrsgTh1Kq6kpF/zkkE5UzTiCr+Fkqs1I0Tzm9B3YTBOZ/Xbhy pJWBsHOVVsA0wRF3qYrgdgZvexxU2kX+WS1uRXEnA+O0q216NIFzeFGBRi8D k/yted9EvmUnNjL7lcG4ts+zowKCiB9iDHRGGSg62vZkiRzzTj3izDiDrN8X dM6JnKZlqlk3xcBKunNL2gzBm5nbbI6QQWO+56bWWYLyPJX8VjEBFFL7EjXm CLjsfCIrKUATR6fRU+TWqoakq9ICaJw0TxefF+33A6Uma1lRfSY9Xl5IQCxz NwQvEyA+p/3QcZEXSML7tbwAh6Km38WJLO/KltNYLYA+Kr+XJwRKKpMOJ5QE 4LkHt1uLrFb/e160sgBD/9X0iRRZK2TlfLmKALmZ+Y0fRNbRz7aYXSfAcLo6 EQX+B1JS53M= "]]}, Annotation[#, "Charting`Private`Tag$2381419#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4FW0UAHBb5auUPVuWJCWpFFHqlFIqIVtCkiLJmmwhkaVoEUWhZElo s2WNVyJL7iX77s7ceyWEeyd7ut/01zy/Z+admfPOOWeOgr27iQMPFxeXCjcX 17/jtQ0UI/3BJgg2LGWuKKKhvWLaugd/NgF1zaSukSGG3hqZb5NfaAIH8c9l 6lUYko3ylOBaRYHftsIhO0VwFFNzn5cmTQE143h+fksc8XCyJ5AqBZ5td7TS fYyj69pfe1L2U8A25/vS3UYcDXvhNcGGFPilgz2+9AdHjSNSSeBBgW+jtMUL FnSko7gnQi6EAlmLTkOZwXT0/pypJ+cRBcL5OD3sTDqKbY0+hgoo0NxbYpE1 RUd8AlnqKTUUcP+gfcRbhIF8jtWsD+6gwKZf36niGgxk9ekPcWCWAtfM7BdP ejPQhkzXl5V7qZBK47rcOsZAj2l3o1+cpIKWel3A5xVMtFw60+emDRUKTdbL Sisy0ejDQYMDN6lgFd+nv9uSifL9jeYrPlMBav2fdX1ioo2FVxnPW6kg+spQ YamdieInIpuD6FRQv+QfXDvORDcuVr3av6wZRHrpvsbSw0j31E6TCv1m8Lov 5Fp6fRi1yYu8+dTcDK7auekXpX+ghYtX3w+4tcB18RJzVb0RZCdE+H3yaYGx yIG4S+YjqLbyxuGkmy3QWb3ZKMRhBMVIRnVbPmiBnVwGsc7hI0i5OYun/R25 /myN56qaEWS2d9iicbwFHtz7Wz6l8xO9F7zAKXL+Dv3UXQN0uVFkX2FhHOPY CpdzOwI2lYwh9SIJYUn3VvC4+SFepnYM8XzobUv1bYW7goy8Za1jKO2l7ZmC O61glHLKJW9sDOG3HW07c1pB4q227TXZcWR/wsdFZrIVOCJWoQUhpLue3Mny bYM1pR1RNPiFLrLaq6rutMMLz5wd3CkTyO5GzJmSmHbQnT7GXZI1gWx4DSY+ PG2HlIS2x5fzJ5CF2BfplKx24BPTUsqrnUD62nk+QfXtENShWT8xNoHUQu6r 7uXvAIOHi6lSeybRnODRpwWRHWCV7fTlYv0kurej2D0zohO+XZLWn7s6hRrV u4a9H3TCtj5erSn3KcSvMXtOL74T1LfiZkyvKRSmvceA8aoTNKx4ZeoCplCA bvHmDbWd0NZ2dvWV6CnkbFaMPeftAjOLxQblnCl0zK/Y9MmtLohxjgtIZE4h nqriPWE3umEgwqU63oyFcgSEM5dCu6FH2JK11ZKFTKxdRH2ju0GInbmx0pqF 0mfkWVeSu4HS4ZvcY89CR7ZF5RhVdsO2rpDxcQ8Wiki0WS/N0wOTce1Y+D0W WunNzZt/tweK1Mo0Ij+zUH61tefW2B7QQyb5lTUsZCVYNJSR2ANJWc8MiToW evPG+VPCmx7QaOD5aUplIQO8zTuI0gPrxiJK2L0s9MAoc0RfqBdmM80tXhMs JKRykjr0tBcuU+u+T21go+EVKUL1L3uh8Kntg2QlNipjss1ys3qhXOJ+r95m NrqUmth3q6QX0CdjxUfb2KhEYnREobsXQsUSQlZqsZHtiru8l9b1wVV/ibo7 Bmz0lvFVa+RJH2SdN5356MVGIdVSgS3P+yD/UMg5UR82snjphkpe9YHtzTvn PfzYiMtG/Ojdj32QrG+uoRDERqZtDqYqHX1Ay5Lf4RjBRguf+dxcRPtBI2Fl WtBTNtJP0U2fiu2HyE5rE0YZG0XWtwyEJvVDD/+HFYoVbPSVZSshltEPZmLO M7aIjfSOBNzX/tgPfhP7Qqhf2Ej3Z4FvaFc/nFTaZHaviY10dikZiMoMwEjq +623B9hoR92K6T2vBkC5NN/x/BIbuU892d74bgByIwsb9Ths9F5yo7NN0QD4 1qzz2MJNoG0uB4du1Q2Au/hg8AgfgVSE/Bsafg5AeejpUr3VBNpoPfrcWm0Q sMqUz4FSBFo32XQ0uHgQDnXzhwzuJtDTR+jCTzQIjQXmao6aBJLYnR9oWj8I YgpndMb2kPZPyFfuGYR1GZIBv/YSSIrXXrZlYRCSXBYjWw8SSHbd7LT8gSHQ 2H2EW86AQC9KfwpGHx2CloijTYGnCCRn07912nAICnIdF7oMCSSf+vlCw/kh GDaMvRVxmkAbtt6jeIYMQXZuhFaNBYE2gcKr6pohuBmZ711tR6BMTKRKlTIE gXKat2cukOfDlvfFdwwB1XL5jPJFAik3jAleHR6CXSlCq287EOjxFuvK//ho QJi4LEk6Eyi+QEklX4kGrDw3oW/XCJRYV8bNe4UG5cvLu/eGEmiKlus/6UID Ln/Z0tW3CXRsIZPV50GDMG2OZT/p36pxWKEfDc7YxnddDyeQYezVz453aIAr v26NukMgnnMyIY2vyetP+bWfeEAgSx/h+aI3NHBSjSyeI/3hIb9n+gcacMxD rTMeEsim+rddYDENkHLC8O8YAhUpUw6q1ZH33/1mVUAcga6yg7hih2nAa9Cd If2UQNWrrvvdHKXB2zjh1FekJZScp5wnaOCyNfH8tmcE+nrGgnZ4hgaL8iOK monk/laoVU0vwyBh88A31WQC+XRu1ML/w6BCg9afQZoyKZVLFcAgy3UgV+o5 gW5sWPHytRgGlQdl0jik2yOHgs8qYVBozPv2fQqZT6kds3pbMDj5eXuX6EsC hZR9c1ffhkFTFPdXP9Jqv4rPr9LAYJ3t6IR2KoHumMRAxREMmE83eqSmEWjw akRxtj4Gj8Oby6ZJa4QHbo83wGCpraHhWDqB8GInOXczDNTOc2swSeusP8SR v4TBEy2K7rJXBNK3ab9m70TGU7SgeYq0WdLl4XQXDGbXuUbHkr4q+YCyyRuD MO975mKZZLyWCoec/DGodXL/ZkI6NKGwMDsIA1U13rT7pBPF+pJUIzDgkcv2 XCSdaea21i0KA/UjLGe11wTKj+O+/eEBBnnbLWptSVe2Pp6ZisWAirFv3SPd ILTZWT0Bgzob/Hkx6Xbj8gGvJAzEXoEMjTTtoeHpjykY1HxW+rMsi0BzAt5a WlkY8KfP0Y6T5jvF/9b/LQY64dLDl0kL3kuSK8/FINV316nbpGW+qcX9KcQg PtZaPJm08srq5QdKMfjOfn8on7T6cfMbwRUY5JbqN9eSPnBn5FfVZwxCBY6g TtIn6gIu8Hwl31fykxCTtMXytR2HGzFIXNv0dYq0vV6afjgVg3Klh4PzpN3C ND59bcVg9TP5s1zZZD58qd/O34XBt7dJmnykw3ls0o/3kc/PkfZdRjrm0KR4 9BAG3fRyqX/nk2+FRjXRMfjyIUHh3/osJPZXYASDYdfG6H/3L/yb5Wk0jsHR cPez/55ftV+HGTNFrr+UFsUg3RTYbNn6m8yn2zfl/r1/d7l9k8g8BpQLchL/ 4qMvTIP5EgYHI19ezyM9oX23IJ4bhzvh6zWSSC/4ySh3L8Ph6Gze2VDSy0s+ JEquxCH+lj/uSFp4VneN9RoczJofNuuTltXsDEkWxuFMkqDCZtIq3lemB8Rx KMhc18VHWrPwj5OcNA5ERRVrkPyeh4iH/XZyOJwtUfYsIm2grmicpoiDrJ+T eTRpS8+iL3RlHDJHX7w4R9pjsj/HcQcOrE4buwUyvwLVPGSzduNw30Gmp4b0 HVfe2J9aOAh9P1R8j3TK2BZ/l0M4vJlQyxAlnaNSMf5ODwdzie0F7WR+F10x tps8jkPgmuWb/+U79YfPsWsmODgOZR/+Vx+9m1aWF1jgEJv0YbQsg0BMh+dq 01Y4BP1YmnUl/Yf+RczvIg7DUcN6TWR9baUJMoKu4yBVsCr/ClmPhj/kq338 cDiwqXVekLTHxI6X7oE48B1z+vuRrOfCP8Y2F8LI+ITsD8yT9a4j+aj9yGMc 3OcUky+R/cFWPjV//1McthVwmuZfEOiWcl6MZjIOIeeulN8jXaPx3WBzBg7U uKPf35D9xcBEqHZVIQ5yxDc6NYnMv7MK6XwlZDw6ZbwmpGPsdoYsleNgPDeL tZL9rN3t9P7JLzgcefilh0L2O5voRx9b23DQoZwozUogkEuNUOYzAodQ06+n 2LEEevBNISx2Fgc7c7A9TTq3dad99CION+KfqL1/RPZz2mnZIF46UC/C2gtk /w1cehRvJ0KHNY9M2t7cJ9A9TeFI5V10uBrKFdQRSaD3+zc4yO+hgyyPRYIg 6ZYj6ocl99FhxGeT1/EIAomamnBWHqbDH94098Iwsh7cY30nTOjw69fYTfcQ Ar3LEnb6eI0ORm76a27cIFBYBzrE60uH9fs2oyB/Mh4eV+nTAXSIcfVuvulH oJU2ddTx23RwCmKs8fchkOPaQI2NT+gw7spebUj+v+R9mDxxxXSw1FyrdOMK gWbTYvtp5XTg0fcaMHUi86OZHN2q6PD2R+isymUCBW1JvNJYT4etG7VOf79E 5ku/YQt3Lx3ahPlT/p4n/5eHS557/KHDFlf+2j5zsp96OPhWcjGgPy0jO9qM QLrPhU+vXsaA9G9H2VqmBGLNuPBlCTBge8Ke3GhjMn9yFK4OyTIgS3Q1Xegk gfiForUMDzFAPGX8aCqQ+zt4rm1rBAPO/T2uQNlE7v+x/c8dohjAK6kYuFOJ /H55MpdTHjCAJrJ0Jk6RQNZhfQvCCQyoYJjFGckTaK/K2Q0LrxlQfYB3fY4k gea9zTzrGxigY7735Y9VZL8XOLnWQYAJDTe8o8Mn2GjCR6XnhRATEjdSLBLH 2ciR9l96txgTkpecs96OkvNfQb2mgSwTrParDDUMs5HG2aO2u7YzYU7kScrw IBv9zjj0jvs0Ewx9/OKyqWzkqaN18sVjJtAdZO9avCXnRbfHwQ+fMuFpiFCD bg4bPUiZKriVTK43Ch5WzWKjHJ5smYsZTFin5lS2kM5GeL3khHIhE3gKqxoD k9jIzHwxJq+NCYq97rlSUWyk6VbZWSM8DC4Du95WOpDzZsoR+7GYYZiuE0rJ FWejA7P7Y3c+GYaDAmIHBkTIedZwT7Xvs2GwjtpyeYUQG/EvbdnAlzYMxac8 LM1WsZGY1VpcpmAY5CUYFS0cFtoh2nvBsGMYpJiW9aYjLORwx/1CnuQP6HBq DQ0rZqEWj0Q737QfUG2nrvfCkIW0j234O5A6AuzvTu0bPadQg5521sHkn3D2 6NednVMT6FXeM238zSj4BdiezYsZR2KKqs622WPQ4iC0T1d6FLVy84dKfhoH u0GpS8E7fqCP/F6ZLQ2/gEtPS/ugGAOpigk629dOQGLiG6rcIg1NPpgR3dU5 CZ4O+3/WtPQixcjI7e7OU9BlkhbgUdeGcKu+Xt0fU7BucMkqU6EB6TPb5j+6 sWB9hZ5xRU4e8rvm4CT+iwUpqwuK7LPfgGFR0glxHzYsO3wiQTG0Hib+OAfy zrChRMrLN+9dO6R2hRS6eRHw8mTowB6pAVhw2m/nv0iAxRV1LGYnWZdLj6w9 b/yG43JqQzNxP2D4WHQjP980CFS4qd05Nw5fNjWBbPQ0fI/Z+s07agqc+TP5 FP6bgfD1Rp0KFWwofrlx/5dHM6DqVp+xXWYaqPt0ak2EZuGw170rFadmYc45 ydTuwSxYCG5L1nGdh3rjFHMB8Tn4ss+v9k3uIthr67x+/XgOLuZoNT76vARX flGm++PnINCZy+Z94xJ4pJ4/IvxsDgpXtNAa2pYg+L/bWODzORgvRFVLzCVI 7mmQNsmcg7U2Xl8tV/6FTv8zMX+K5yBOgs+wz+QvnCi75n+6bw5qxDA/Afpf OO3GVx8xMAfWXmWiK8b/guWGePFPQ3NgWxF1n/P7L1yOKi3YxJgD0XRTkV/L ORBmxTWxOE7a5ZJNmQoHKhfu22f+nYPt5qUn11/jQO17ubw+rnkINpVy4Avg QJN9HkeQdx6GUqKMR29zoK+xPTlgxTzkn8ET859wYC5RustYcB5ia7xGd5dy gGP4TilCeB48RcxChKs5sJwXrpeLzkPu9W7GRCMHRK/aC22SnIez0ZJrM/o5 IC33+7y19DzwRgW2BzI5sKEt/H3M+nnI3NZy0WyCAyqR65Zq5eahp+PyJ5VZ Duzcl31yUWEeuubjBzgcDvwPr5wtMw== "]]}, Annotation[#, "Charting`Private`Tag$2381419#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV0ns41PkeB3CMGiqbS5TkEkvKJXYJ0XmX5H4oJRmp1qkn5NJNUpStcFbl Uq1cBqkQFVEipZ8lJ5RSDeM2mRmkbOU+8xvie+wfn+fzvJ73X5/LyoBwrwMy UlJSsXP1T1/U857uu85BZrxheFViP7Wb4f69NJ2DV0yLxW9291O+l5hxhTc4 +KnSavPS233UTtV6jdw7HGw5oJfnur6P8so5U572gIPLlod0nAeFlOeq9S5J VRwIH8vuSb0hpNwfTPbG1XKwzExXofs3IeVsU3YippGD04k994WGQmpLXYhC RCsH9rbVLm4TAsrezfB2SAcHPmVco7X1AsrWP/ed32cOSqLqPysGCSjrT6zA 7SMc/DvCVAgIKItwNeJKc9ARNzplsVRAmf5+2Xi9XBu6zrPUc17xqTULXOrN FduQzRW2U4V8atVVWdbqZW3IZP3v7ewFPqWTfzphmWEblP/8qyLMnk+pNAUJ RU5tkPeyeTpzuZeiFR3THya0wfNNaZBLB4+ayJBeeze5DY2mqzek5fOoUd2a hpvX21BkYDYv7xiPGrKwGE8tbMPywi3qLUo8irdL1+PwyzawR+u0ir17qLob swwTZjtMw1MXu4i6qEtmleEF8e3Y81MURza2g2r+hfspIqkdC+P+Kub4dVBy lmL/LWntYHyZtRVYdVAXbKzc+/PbYckqqSke4VKn7SsNdRva8azXIKJzP5cK 3lEpyGZwoZeTrJe9s51yOlm5/c9YLvpb3Nw2+nIomdpKqwunOpBxTpSWVdVK FSsoF8yc60DKuLFbTWYr5eUXsiTyYgeCHv0snoxupW6JdEaD2B3IrWMPFG9q pRxMEos9n8/lMQtTLdLfUvGZuzU1ZDoReXvvoaymFmpBhDSj/I9OFF58rnLB qZlSWuP2pje9C2d4raKxjHrKOdf+1siVHvj8xjRx55VSS4dfO56t/IgYv5RN 70xykfmyWpoRxIejByvHx/w57DQ3EZ39Arw4G3Kb59oEI75if8xxIaL5S3IP qL3H/TvKgRVH+zAvcDrsswYX0R/9PxjF92NGwtk2GduDI3bWbjnXBmD0cqab JeBjKtch4O+UT+h21vB8vLUPrYcz90XeHERoy/n88OEB2DjpzvLyPmNbepur 0e7PaNpic2cj+wtGZItK7j0eQn5Zho3w7hDiuG5SvnbfoKpnHLyn6G8siJoV rUoaxntpuXPqz75iTXzO+Z2MUVTIHStobfqGzpOvCgN/HYOxqmJwQMN31HHZ 7D+cxzGcJFrya/sw/KM9XhmGTkAvIWFtePAIHqX3b9Y8MQkhq7vLfnAELJYA R46I4DzwQVIRNop02w1NY5FinDx6IFDt2yiYsS89UgJoeDzOclU7MYYE0aas 3h0SfP8RHM0QjSGMIc/UN5pCHvf3R2HHxrHjqoeK3+gUpgI37IuaHsfmlq59 YdXT0JxJ9TtyagL1SofvRgT+wCeni81yspNgMqy1MlVnUG/wGloXJ5Evs1Qu rHQGwXIFsivlRQhRT12uYjaLyhs/b6hPFYH50sNPUjyLN7Z2DV5KYrD9WHkc BYLEqohpRxUxDh+MDLZZTOBkWWpuqyoGv2m+Q7YiQa2pbo6euhj/6nM3DFAh eLhSLnJCRwxzttEj/jKCdCbHMM1MDK3X8m8f6BH858OhS52eYigYtdaxrQno 4Kzt+5LE6J5W2J23lyD51C3m2RQxPLWuKvftIzBIvPs0+4oYzebq9/QCCLyL nup1p4mxSHomIW8/Qflg97h3rhjT2yWC5CCCkP0rrrk9EGPXygpVq2MEfP9s zrr3Yix//cSqNI4gMjT/v94cMQrz+9a3xBP8FHPf7ni7GE9+6dIeSiDYwK65 XdYlBm96YbJOIkFmF++4cZ8YVTfZ0rFJBDt8tFR1J8QIC4gzk79O0Lg111tB jQalrXrOoZAg+MXAc+YyGjXF2rMmdwgUrI0NZZbTcL9mGqtWROCl/WRKpEkj 2Msxrb+YoPvb+1y+Pg1eSJd8RAnB98T5Qw8taUz13l9wsIJAtSH0DMubhsy6 np3JdQRV1o8Gd/jQSDxqf9G3noB1b2qrpy8N+VVmDbovCHKuJug5+NPwdUtz KW8gMAzIazQ5QMNNDdcaGgnsCEdZOoIGf6DWtOYNQYCNXWHhNRpZh1KCRjoJ gr61TPak0VhhkKVe2kVwOG+vg3IGDYOZdakh3QRn5c8LorNpnGOt4Pb1ELA7 mzS8CmicDz1dU99L0B7lk/Kjkka0ccO48wABz+TLR/NqGkZSQSsm5twvOGVy 8BmN8PlXFuV8Ihh3yWl+V0vDb+jY5u+DBIrLB2QLm+bmo2MWxg4RuFYfjdrW TUNV3mxe0DDBtjDZxngejYyQvQVSIwS7dNPUnvXS0K/SXnx9zgcTnzw06Kcx YeZrVTtKcIEl9X36K42b071CxgTB86nLAQWz/+xH4c5WmqChRLusW0qCah3L es6cXweUEUWGBBvtlQp8JHP3aeawTzMl+Bo7Vuc7NfevmRrcrYoSTNSW+3r+ ICAe9/XjlSUI128vb5rzfAaOP10iAT+08YP9DMGSQwFKBuoSdD0xDDWfJdDQ ntjrpyFBcGzOQMGcdT/ElaRoSiB5MKavQQjWJCydadCWICJwtWnSnM1ti9ym V0pwpdtxlsz5/3CENAU= "]]}, Annotation[#, "Charting`Private`Tag$2381468#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4lN8XAHCi0iJLRMi+RCqVPTrJWnztKfvyDZFEJURFKVJJkvAlIpKU pUILV5YsRWLGzph3zNiZJfsyv/f31/t8nvvc+9z33HPOvTJel2y9N3BwcChy cnD8/7t9oGOR8pwABqbuG8rmR5ALl8VMcSoBko4wbwfLU5Hjw813X2cT4F9f 48rwfipyEK4TzyogQNGpAvdkQxqyfXGzLKWEAAWX9keRk2nISkn3ZEIlAcSE fSNIvTRkUTJHultDAP2+txm9u0aRmU7ptRtNBPjTGeAlaDmKjGsDeEPaCeCT 8/47LWoUnTDf+yqghwBXuckX9UpG0VHXrD/OYwQIlnaJrts0hrRpTuft6AQ4 zVZorDswhtQv7WKfWiSAeTVXxLL9GDoQ/UhVl4cIVzt8U4cyxpDK1pN1h/iJ 8PDEYdOh6jGk9JTbSVmUCAbXnU5UkcaQdF5ErOheImy6v0y8KTmOdjb7YfOm RIi4zF+jlDSO+G0VwmesiNCwyYXt+G4cbe8f5qOdIcK95AgJVuM42jR9Rp/o SwSziSH/myvjaJHfJPVDLBF6Y+9Y/3SZQH/TOA++fUwEdba10o6rE4ghW9WQ 85wIPzyDQ2biJ9CEujrryWsiaOnulkqrmECDZ2UtgxqJ4Ng3L87JO4lqs9e5 9m/ugi32N/pLCydRtfKXdHm+LrAd4nd0qppEX8tCDkmIdAF5T49a6+9J9LF+ ym2bUheMXy83Ff07iV6P9X0eN+mCZR4BrQDdKfRQreJS/r0uCNIiGYiiKdRy uJsWktAFN1JmxcraphCPxoKrcUoX7HytyK0yNIVidLQsRvK6YK305GT56hSK OFGxV7YBH48fbT+jPY387SvImVzdcCjUxkSncBqZhlXYPYvqBu4ov8bSiBkU c7275VxcN3h/d5/dGTeDaiMXDNQTu0Er2PGxV/IMOhatpdaZ1Q0RmgcNfxTN IM34iu0CqBsCvn0LfD8wg+QzKhoernWDoE9QtLrOLNpQU6EVc70H3sq7jlyg zaJCXsH8tds9oG4hoJHHmEW2zgFCoQ96QEf9dWzb6izKnZdm+GX0QJyZ0GTY Fjoy2h9faFXdA6v7d5SCFB3dS3fZI76hF2KDxBf8T9LR1hBOrrL7vUD9/ISQ l0pHZbXOwfuSesFySNDj30w6cuIvJ71K74XReSCK5dDR27f+356/7YXxwmsF oW/pyALrDLnR2gtOca1iE1V0lGCVP2Ym0Add1hzkL2Q6ElAxbyOl9kGN52L8 SQUGom3OEmjK7oP38+W6AsoM9IXKtC8p6APrFv1HBFUGOvcyvT+qsg9SXZYP WqozUKXoxJhMTx/I1txe4zVkILfN97nOifTD9+u2W+vdGaho5If22LN+WB2o NlBOYaDoWrHI9sx+SFsXPh+YxkAO2YGoMq8frlfUVxVnMBCHyy6T+5/6QZho slEpl4HsOr3tVIj9MFHi4D1WzEDL37kDA4QGgGecZf65iYHMsk7k0pMG4NwS ZbBggYFim9oHb/83ADZvjl4pX2agHww3UeFXA7BPe3kVrTGQsVHEI51PA3CL ILX8g4uJTox/CL3dPQChrlr0V3xMpHdEwUJIYhBit5mczVVkIrXGzXNaeYPQ slzS982GiS7Rnx1seTcIPAunfC3tmej9bnl/l/JBCD6dqjfgwET7A46TohoH 4aDclpYpZyZSEQhvbh4fBClbuSKyNxPJO09kOh8Ygjf24k4S4UwkMvvL5FbF EIzKUyuxDCZKfYI8x9EQVC+aWi28YCJR9bJIu6Yh8Cz+Fs/zEnf48zKl3iGo ihycl85jIjEuL8n25SFotDRsVX7HRJIiC3PSx0gg6lZRmvGNiV58Hud/YEKC 9icOJpHVTCTlMrBvzpIE/2jFpZytYSLpl989m91xZxACN9czkey+h63B0SQ4 Vf5T9thPJlIEmbzaehL4ZHcX8fcyUT55Z41qKwmeO2QkfuvDx2M29acQScBb FGboPcBESs2T/BdoJHhtui72jsREycrO1Vu4h6FLyrNkF42JUj4oqJQpDMMB tS0+tkwmSm/8wsnlNwy6z2JErvCwEH24JHw2YBgk+k7QXm1hIdPlfEZ/0DA0 WltvJWxlob+qT8kfw4Zh4anaaRVeFrJMuvDdJ24Y9kfnbakQYKENrhLRLa+H wf2p1T0bMRY6e01wqfztMHjNVqyeFWeh4sc8wbnFw/DgyfFOVwkWcqn96xFZ MQw7XI/lukuyULlS6/EDjcMwGhE9bCjLQheYNziSaMPAPeLp+FiZhWq3XQ27 OTEMjOx18YsqLCSq4E/3nxmG1upgM7N9LPTjjMOw4fwwvBJXJM+rspB01YGa uY1k2PE5W0ZDjYUIsaRbjgpkEG/+4qSpyUIqL4kLxspkyCksXJvAHf3l56XD +8lgvqCxM1OLhQ5MV7hv0yBDXObh1CVtFoqzTYQqIzI8zpEVTT7KQnp7DNjS 58hw28bGw+o4C5m5EC57nSeDToy4wihu+/98abkBZFjxLGZGGOD/szuhVTGE DIuMzMKMEyyULtz/n+o9MrTsN33xxYiF8u0D+QLjyZCnueuLrjELlT3lvFOc QAaBSn9KBe5mgb3+h5+T4Y0Yw+ONCQst8oZoaxeQwc/WTcTPjIW4/+EpCi8i g5neqeI/uPkf/if1tYQMidngqHWShZS21m469pkMHGbh1CXch0+evn6rCl+/ hdDkcIqFjsWNTdd8J8Mzs/M1JbgdNvERDVvI8ELbdcbZnIW8jHPM7raRgVn/ W+Ed7sAYjW8/OsjgFptxZQX33Q0uuSf7ybBQ5Wb/2IKFEg1mdz0gkYHq5z5G wJ0RdTv+F4UMp1B7ssg/LPRxvSDYaooMBzcJ6STjrtHXoybSyfA9fvJQG+5f kb/PdvwlQwl2zHijJQv1fPX6tXOJDJJyj6/o4KYsz8HpNTLQPrlU+eOe0bn/ IYUTg3BnJbk03MthEko9GzF4phqYV49bcOHEDucdGLwJ8+PcacVCkppd0RmC GGTOiA5o4FYJ8Zsb3IVB/H1d4mncmh9Xz0uJY8CpeWr6Mm4D1uMBDykMzA3r 5B/htjgsZ50jh8HaOenIV7jPBpfXUZQwKP/Yz6rEfa7kpJaCKgbvPgQ+bMEd NDtQ6KOGgYOFrUkv7sgDQZIF6vj6hHUZKu64i1xJ49oYeG6fkprBnVyUsnGf PgZqCk+O/8WdNakcHmCAQWHVuZgF3IUqVVPvjDGQpw1M/t/lftYesycxiJO5 FDqHu7aA0qlmicGAT6ISHXfb6DXTy7YY1Mt+Wh3F3ae49esHBwxmtW0WBnBT vTMPzDlhkLGxR+Q3bvortRxNdww43L+5VeNepdQJh/2LQW1K0K9C3DxyZ+5/ 9sXANcLHMxm3kNfE6vIFPH6OfJIRuKVf3gjSC8Ljvda/wR33vmH+kRtXMRD7 pMd/HLflqHTttTAMzvJEZUr/Pz4zatmXIjF46fqjdB0/r6S54zfPR2FwnOz3 Tx/uj6vWLp4xGGz/tz7oA+4uLk9dpzgM/M8clIjHvbg1WNTuIQZyPVzWbrj1 dj8hGCVj8FzRwpaN55Ob9Msy/VQM7C4EyfzCHaVUmqiZgYGGqvv1FNz1Gn8s 9r7C4OmZpRY53Ba2Ag3bPmKg5ZBOl8bzN9BRJpe7EgP+oQSRPjzfEz0ORa99 xSCSyG5JxE0ItNGfrcPAjaewZx6vH5cHTz51dGLQpmWXmofX282kl09/dmMw pOCpao47O600uL4fA5vc+1YzeL2OvP6zv5yCQUrHFaP9uAPqBfLTWBi07shm PMLrPeGnTEzSAgY5saGbpXGXdBzyerCCQV7w3PtivD/8HbaRvMFFAdplhY+N eD+JXHuS4rGTAnfreLP78H7zgjvnqqMIBVa1O8wdcddsK7O1FafAL/3KB0S8 P3GLdewwkqOAQI9M8w+8fz3UFIxVOkKBEYepEw+PsdB7fVlvaS0KNHEeT13Q Z6F2o8OGu49SoHZBOsYDt5CdLXurIQUknL5J79PD6/1SUuiMLb6ftdchuTos 9K5A8PynyxQI8ZRol1ZnoRgiMuAKpUDynTjm6SN4vDZcFLeJoMA92h3juMMs tNWlsW3qDgUO/864OYL3bx++SA35ZxRYWQ01jdiP59c16oanFRSocd4ZI6vI Qgs5SQPDXynQwZ3ap6KA5/tvKD9QQ4EfKl6+avIsdEM53a+liQLsNlWFI/j9 0jdg2c7ZR4H3QY5HRfD7J9mwMjNolQIWC25STsJ4vw7yDq3mGIGHJg1cmkIs dCJT0Gb7xhH4J5Epx7eThRjzAdwFvCPgbroq+pkfz+dCmQskyREY+a5LmtyG 14fAA21LgxHIkjur1MqJn8eQa+e+eyMQZ3J1PmqSif6a6md6x4/AoqPwxLYJ JgoolfDNShiBYGNN/eQxJnKO6V8WfD4Cd/oPcmVSmUhXxVF2+fUIKBbd2/UY v9+XQuyDm5pHoK4h98VcBxNd4zXn8+alwrw6yaqtgolmrqn0vhCggpO3UfPG cibyGd6S2yNMBRlS41vdj0zk8KFJ00KSCjfLHN9llDCRhqOJ25GDVNArny80 eIPv75XBO04bKnBv8O3gS2eiYD1t8xfJVPDYrUKpxt9PHIHJtx6nUoEses2y KZSJErLoH6IyqEAs3B79O4SJCje8kfj3FT6fZ4d+dzATYU27Z5Q+UoG0TUDk lx8T2Z9eSSztxMe7kuLMHZlIM7C6q16QBrKk+7y5mky0nGXkNZlIA3vqME/t BAMdW9BPOvSMBnetA6d5xvD3rKVWbWgaDd7rxZv+Q2UgnjVlWe4cGuReK3Rt IzGQsBMfJvGBBkQ5HbEyAgOpCfV5WhJpMNO5R4yjmoG84y55lu4eBfcG3XOV CQzUHpTuEZozCi8I1a1v9zKQSiL/ytX8UcgNm7/1AH+f3ym+9+xy4SgYaLRv 95NlIM2Zyy0Xy0ZB+2h4xR4JBsq8YK5+rnYU9n3lO3uRj4H8fVY322CjEFv5 lzN/jo64XdyKVWTHQOqCcu/NGjrSMZVdH3w5Bq2Mzj+DVnTUbKxTcDxjHEZP H0njK59BeaVpOtjbCXDoaC4Sd51CwnKq/m5vJiHWKjTs4vQ46uDkub372xRU z1ee3M4zij7xXMlvb56G4DafSTcGBakK8/t7NcxAusXc6lLfMJpNmBc60jUL nIdebUt/3ofkYmMPXvKnQ4le65+9yZ0Ic+rvOzFKh9iiBWP/hiZkRu1c+hTI gKuynhVOm0pR2GXv87umGXDmgMZL3/YisCz/79Sua0y4PW08kFHXBDOr/pFc 80xY2WR0bbyFAC+7oz8GXmEBJ/TdMFIfhOXz+h7hKyzYnHYuilOfAnvWnjgH X/8LYW0iITwvRoFm+qCFh3sOzlw1JWv6TEGd4i+QfDAHtXVmHcoJdPDnyeeW 2TIPcr2VOcY1TKjIltevezIPYVPRjtWSc9B2VK/BVmABMpTcQn9YLcCi/392 HgkLMLQv9sOPwCVoss46zbtrESJtDCOKS1fAS0fv9evkRSgLH9IUq10Dv+nW uYGURagfgjz1n2sQ9NLdSDBtEd6jqk2WhDW4teUOOTJzEQ7cMsm+QVuDjN5m cdv8RWg6JizWvnUdusLPJK5WLIKWneYjA7t1OPXlcrhN/yK4hVun21DWwSaQ u+ne4CIYeX4UOjm1DmdlU3Z9Iy1Cgv3uAJhbB9/4zx8URxZhKn1v8d7NbIhx 4phZmVqENM1DV6ZV2FC9/Mgrf30R7Pp7HOEyGxreS5X2cyzBuATYykew4ZdX KZufawmuP/kswRPDhv4WQkbE5iUwXj6s8OsZGxbTxbut+ZdAfK86w/gzG9iW 7xTuCS6BT7WWr0wtGzZxwdWvQktQXEx+s9LCBqELXgKKu5dA7fKVpKIBNohL /XV3Fl+CLCqH1h0qG2Q7775P3LMESYu38s7OsEElVmStQWoJ9lQYDqousOHQ 0TfmKzJLsGyUNchms+F/kBXb8Q== "]]}, Annotation[#, "Charting`Private`Tag$2381468#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkns41HkDxUlv2NrNlNvoImwqtdjXW0voLIkuSEpFjWoipQsqqYhQpihr pTaiIbpIqcilaH+9FZGUNUq/Gdcxkmvu8xvGfF/vH+c5z+d5zl/nHANugLvv FCUlpeBJ/d8/jvuNah2n4eJZX1h4+Sv1nHY2pk7S4C6QZwwK2ynuortJlpE0 VDxueeY4tVM/BCur5F2k8dJ95zq7ZgmV92pH0NJEGlYbFiZsvSihvDQKm7NS aGzsPb43cJWEmuKt4To/czKvm3aVNd5G5eT4l/6VQ8OW38Nd/aKN2iJ7Y8J6 SkMpnB1XGd1GyR31k2NLaXjtbKiqdmmjnMWC4DPVNBTq5a6zu8TUsJmpZPQT jeIlrsZxJWIq9cwF98AmGgxveiYdL6Z6dW3N9n6n0ar+rtF4pZiK33jn21qW EMprpmWF8FupFWlK216xhajaWOpmF9pKNXV5lVkbCnFgnWVI87ZWyixm5i1T CyGKTQ7M4cxupWpKT+7Q9BDC+cU4/6fEFoplsuFD83UhvuibT5nh2kx9VeWz KtKFkJ8tswvTa6aetw9ueXxPCIdAP1FkRxPlk5EiOlssxM7zmaYropuoYt2u bwZfhKhP+nS84GUj5a16UcVHR4QWndOKELcG6oGk3PLbVRFG/X7IWfSIpiJf 6YXVpIkQ0Spb58qjqa3pR6ji2yLYq57pzN1FU0o7tR0vFojQ2SPWYbNoarPA d7PJJxFmaGqzAk98ocb+O/XIIc0GBD8oMFi1vp5ay7fP7E9sQEDc3q1RGp8o XkVNY9SNBix/G+1s1l1HlQ9462plNYDNyPnK5XXUGofQy1YFDfgn5qBwdlgd Zd+ZHxJV3wAT3VBxY6eAsrFY6Kw5txEzbr33j6+qpczfqo78drsR90v8rptl 1VA63987RhQ1ISKjIyrYrJJKeftcWeVACxYbiLPWrSqgbObZkQU+rWix3zOg xfsDS1s0JGeOi5F6zrPqdtcLPLw3a3/B0TboO1mdVLr7DmFNHMHSGAka6jmt 5uECBNlYbriZ1I63b34ZW+BPY4zvwO1O+Ipp2soWKvVNqAlM2R1yqwM9vY2C 6W5iWDkZKhozvsHF6nAch5Ggco3Vvd9TO3FzHWt5x4UO3H6SbCXO6cLvag+H 1NZ0Qctomb93djcSA9f/5F7eg1pltSh2aQ/CDUdWLgn4jgK1Y3dqKnvhX+T3 SDHRj2VaGv7csj5kWWbaS4wH8T1+VNPi83fk9dzP79k1BCMezyzAvx9nB+dO 0wodhthLJLTv6AfH0tT2Em8Ea9sFsoIjA7At+itykD+Kk0d992v3DqD/X93/ 5KRI4Vp4Y732iUEYXtIMb0lj0Cf3D1MZHcTjn0+0H4uWIaM+8umRY0NIsZOk O24fw9h+292nxodAyR3GPpqPY97EnzuCTg8j63yg3lDPOL46xb1TmzoC9rG6 oNnZcrw2fo/5cSOoXMJR99w0AX+1O1MN1EfBXrKKs7p5AkXpP9u+/nMUXYuU +Zz9CnywtilzZ0mxZf6Vp1u/KBBbHDzuOFsKPZ734z5aAaflj3611pIiKLvv +XmRAi9NDW8asaXg6/1H/rhJgXwDtZDhBVI8S//NVC5R4Lpq3eJr5lK8YR12 8h1QYK/g4CV6oxQ3CgunR6kTMP43Nu+Ol6JP88pA2wqCP05nqkYkSDGl/Un1 TksC49ickrREKbp1tsTVWRF4ZJcYia5JYfGG3H9pQ5DXIRry4EuhvHJqaJw9 wSGfuUkbHkvRknd2a7cLQQsnrW5FrRQBon+XCfYSVLjxPX7UZqAVuVrD8RKB /5v2v1V1GSxe1l/EvUzwo+WyxVP0GHCay33C4wnc9Z+Njc5jUPSyvTovgUDU W8tvWcggZU9S48yrBH2x07rylzPwjLHtT0kj0Co7HO7lweBGAKt2+CFBseXT ji3bGHg7yNmDuQReD8bcNnpO7pxesa/vEcHNKzwjBw6DVVVKMyVPCBZzMyp+ 8WXANviQ/LqAwIbUzVIOZhDOqF7f/IKAa2Vz924Sg4Uj+yyKqggO9FaPNFxj YCEeF+S+JwjM2OUwK5lBrE2S9e1qggj16NawyV+tSK7dFf+RIJWunON+h0Fp wS35JgHB51PbEuRFDM49eH3hppBg/fOjpzaJGCzdHixz/kaw6cjUiphGBhPp n8/M6yTYbnhNu7SZQZd5dGXPJPvFPss3ljAIdKku5HUTnPNS6hvvYWD0LKkz t4/g77HL3DsKBj6kKP/VMEFZrv4TkZIMye5luREjBO+5T4iGigwPV/sGWY9O 9vuuLjVUVQb7WUddHkkn/5Eyp95NQ4ZXWtv3XBgjIK4PF8bMkuHQvsRk63GC aSo4XqIpQ2pbXHLvJGse5LKM2TK0Ha7rd5kgmKM/vGvHHBmulJitlU+yoeB8 bsI8GfoKuX7ZCgITns5Emb4Md0uOuXoQgl+tszeMG8iw3PbABJnk/wHsduuE "]]}, Annotation[#, "Charting`Private`Tag$2381517#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4lF8bB3BZIr0KIVu2hJAlLSq6I1LxU2hFSKEkW9YiKWlT9orIUqGN LEmWToksqUSqMZaZZ2bsMfNYx9K8p7/m+lzzzJzlue/vOarufvYe/Hx8fGKL +Pj+fX6b85qSDqKAdGX+Ox69D1VSbDRQGAVSv8zMVSb2I3fN/BTjaAowjI39 zysPINHgRQIlNygwHbfB5sjlAVRS6xSgk0SBOuq4X0nbAHIUL+99nE4By1d8 TwRkBxG/i7it0iMKPHf8n2zTwUH0/Ll39b3nFNii33KLe3sQHeDWaUuUUeCi TTx8/zCI5ncpp92spkCy4qMgDXIQ2RDtwZFfKHB9YnN+7N4hNKGvx5zqoMBM 2ikxp3NDKCPyur1/DwXk4n1OHkgfQn9kTfVPjFFApDYk/gZjCN3ZlzewW6IT tnnsPyfiNYw2ZfIdrpXrhHdyC2leV4dRz5Bj/Ta1TkgTcen4kzuM9GOX5+oZ dQL3WHbGc+owaq0Oc5I62AnpQQpB2yxHkIS29dfe+50w6UOXYvNGUJ9wlkRj did0Tn424Zf6gypZ5IFXBZ0Qrt3WUq/5B53MSadequiEp2ohaT62f1CF7NCA 6u9OCAq4/yHq/h/kInxD4ORKKixrLxuPVR1FRqyuXTbKVDAoCrhUYziKRD4a 3NygSQWt1o+ZdWajqOTib3GhzVQw2XLGcc/xUSQ0pamUd4gKHGHaK+uHo+gF 85PxQCoVBhd0exdLjKHoWvmI1kwquGwx10FKY+hQti+qeEKFhPfTIYd0xxCf s8yuG6+pMH6Fm6xuNYYc2j0ctDuo4Kn78cS+C2No9oOgr49UF6ygeS449Iyh 3Vnmj9hJXZB0VDKTbw8bXWts7b78oAsUDl7zLLFlo08cF1npx11Qp6IVdOQA G1laXLi95XUXNH8un4t2ZSPzwdLQy7+64DfXiW4bzEYmRmtspBS7IfhB8vrR h2xk0CA8uflJN/CSbXTEhtnIj52q3/yyG7LeRK2+OsZGhXLq3s7l3XDCVqx/ YpyN1vns6L3U0A0F6S6K1fNspC0R3tQ02A1/M6R3DItxkLrTUKaTXg9UVPy2 pepx0Mqxll1Rb3qAEPz+n/cZDrqfiI4Poh6IQmcnB305SHZDSYRDYw8IvXM/ dyIQO/xeiSalB0xVSuUtwjlIXsBdqXW2B/jTnmvVxHKQ0srpSZXtvaCufPjA 3WwO0gDVJ7V1vXBrWrVQqZWD8ugr3ut+6QWdI8biQ234+5jF1LsdvfC2y8P6 VQcHaTYNi5/p6wWlbds911E5KGWt07slgjSo2PSBMsTioLula7RL1tBA4T/a j9BZDkpvqFwkcJoGcdNSNjxlErFpr8LHfGgAZkpjomoksprN41D9aeBaNZIv qU6iCd1kelkYDZw0bp+S0SKRbdKZD57XaWCy+O2VMX0S8R9TjG7Op4GV49bx oe0kOhIiyS1/ToPZo4zzb3eQqCheJOBREQ1UneWsY8xJ5Fw74RbxhgZFMu9a l+0iUbnmlx16DTTQ1bN4P21DojNkJF9SHw0O/peTrOBIotqlQWEXh2ig6bWF XeREItk13mzvURq0i/q933GMRJ8OH6LtnKLBgHtC/WE3EqnU6L2fFKKDyqbT eU6eJPpxrTfq6Bo67HgV8aU6gETaOR3Tlmvp4HD7R5TcORJFV372W7+ODkKp Bc2BQSTS+/PGdelGOtgtM1+vEEqi6/YJUGNBhzVJyVd2RpDIZJUZT+UkHTwm JcjxqyTa7fwj0P0UHfop9eNG10h04IFX3yMfOuS+Zsr5X8frkbvzRSOYDts9 67u6bpIoXZr6QDeWDmmetyKvx5NoRizY2LiADslOMau075NI8D+RF+Ev6DC8 yzpoXRqJxOMeKFe9wuMr5UquSyeRpmjt4u1v6RB3WVFPNYNEhxYv79jZTIcR Q0nZ7iwSlf0tCNg3QofpF5tPPckj0XtTE1YCG69Px07NN59ELRHfjrRN0OET 57y5UQGJGLOTcHCBDoZ7JKtLnpJIctp8mdMyAioXCdXHviCR0qaf0RmSBKRc 96etf4n3L/j0ZLcMAV/lS/2o2Gbj8V1uygRY+B9jqxaRyH+s65mnAQHxPkP5 McUkitDzVyrYQEDYnuZ4qRK8n2cFkgaNCXjw2XsmGztreG24jxkB33atsS8q JdEz7ZqRl5YEtFo57DIsw/Vxer/b2B4Clol7fyjC/tofYhVoT8Cx2iP2ua9J 1KkhWlV6iABWke4ZmXISsTwy9SYdCeiJoItfw55nfJQOO0GA4VS9iMsbEunQ xJmRQQSs39TQRlTgeu5XqQ0JI6DWkb9w41s8/1GDbL8IAjL8qxKvYpfN73c+ HkNArqtaqGIliX4KHN/qeJ2AriaRCyewZ0QDZB3iCOi267mVj20il/jDIoWA I9UlvzWqSOSiklNieh8/P9wp4459SbM4YVMGAVrdFp7p2Ll6H3z1swkITuNr /IZdt/G7jdZjAnQcFU35q0nUZ0LXVi0g4Mntx58MsUUsOCLyLwgYpj7ycMG2 sZeoX1pGQPvjtQOF2L5HVR8JVhCw4W31lzbsBDfD6IUqPL46rWUcu8TLzHUK Efg8TO2TqMH94WtnOvaRgOIbPQrrsKeCjysMNBDQ8LDirCW2bGQAl/aZgGhr 1W5H7K0x0b8o3wiQXyJ15iy2863E123tBISU35SNxL6YlJP8+RcBZhmRfTew s9OKA+qoBIgGMDqSsWuzP+yr6SXA8lhxfzo2M//7unIGrh9ep2IW9uIi+tKi fgLW+dmHZGNrlXMG84fx/M1FJh9i761Z1Jg9RkBF4nDav9/71EnkpY0TcGNm 0OPf/9/5rBqTNI3fd+bY0X/jv2ozdL81R4D3+v6QCOw2itmOGB4B/nNva3yw J2h2SpECDMj7tk//3/pkBo7PBwszQEspvsUC23gsoNN3KQMcOc53dbEdp6Ir vJYzIJTMuP1v/yIWEu+6rWAA6WNY+m9/HwrmBh1dyYAFuznhduz3S0vs7RUY wNzWGVeETUjWGlgrM8At4IX5DWxB+bZlFqsZMD1gq+2GraFKjJhoMsDCJtNi A/ZuLbJ5ow4D1s4FJAlhx22SvKZpxAAlF4mWLFwvhaZqHiqbGWB+8ebbU9it Fut3ym1jwMnGvm49bCkHe57oTgZ4Kd//WoLrc5Oje7eAFQNsGxMz/LGPHA+s mt/LgO2UN491sDP8kkJH7Rng4lzvmYbr/11I7sH+QwzYMmulZoNNiywxojky YNOxdQrzuH/U49rGvrszoG3L3kYH7JcFkqdeBzIgxbNkDYH7L6YDmQmEMoCj 0RgSgu3Mf1bB7gL2/ZREYWxR54avI1cYoE5oa6ngfvZcHrFRPZUBAV9Gx7Vx HpiarF0emMaABnnPl09wXkid/jmAMhlwc7ea8Srsj7UGGU55DHgQJFPPj/NG JYTFn/yGASs3HP+ZX0ii6dykLloVAz5KRxgtwf76Dcr13jPA94nUaS+cX5Fr 0083NzKg6fDO4/I47zq7bFsXdTJAwHU80xHnYcrOikz/eQa4F74UtnyE89zf I/QdHxMSu6odgnJJZJ4pafc/ISbkhXZczc4hEWfKR7BAjAllYa5ZYziPbZ+p nulVYoLkqMW7UzivRSRuGduaMWGQHevUkEKiXlNjyQxLJvyvfL1XfTLOO2/W 8OAeJiQ/9PJ4n0QijzrIumrPhIuSPiYvE3D/hE4I1Zxggp3J09Pucbj+eo61 68Qy4fvTiJPbruB6tjLN9LjJhPgyjbhll3F/FCt6Zd1hwuvUt196LpHIKYY6 K3mPCQH3tueEXMT9rH1UbTafCf2iKhlXwknEDT4Q0NjEBKEEesAKPxKFiFkv 9xBjAe2Q1aLlR0g0GqJNeSjBghDHhJzYQ/h90ZY8+i3NAkuhUr+5A/g8Km3c ZKPEgiiD7ntddiTaeHSXi5E+CwQql2tFWuP5PTZ7uciOBbcKnzZuxveFABNj 64cpLFi/8fTMXVUS8fmmRMXfZ4GoNaWtA99P7mSxSy9lsCAjZN9uSSV8PvA/ VTzxmAWBn4QXx8jjfmqUG9UsY8Hv6he/967A5+/BuYTidhb46SzZ6imI6933 3c86yT4w311D+cnkoLos+aXlMn2wN2ic1URwkP33EMiX74OwqUvplTQO8t2g X3BDrQ8eVpv8TenioPzZrHDb9X1AanlVrfuB73PXohV/2/WB2YCbx1gtB81m WbgPJ/SBvdLfDeUPOWj7tGmSYWoflGWiS7oZHBRtu7k2NK0POlv3yWencZDI wlo1wdw+aFn52TgqhYOkHZcTiqV94H/4qcGqmxxkINV53LajD8T1LUJ/B3GQ x3W/48Vy/fCtJe7Vvt0c1Oqf7haa2w+nn6X+cuzH99UE8bmgvH6YK5V+7sJk oytFsamBz/rhHe/Tdjc6G20aDWw+W9IP/500KnCmslHmGesNJ2v7YUrR+/bW b2zk7TkvbEf0g6/+D/JmORsJOrsUaasNgPdKgdJLV9hoi5Xa3+6cARg0jzT8 IcNGTZZbCnZkDEKY1tLIArtR9KQ4bQvxfAhkX1G6dgiNIOnVut4uT4fhvI2n 6+2sQdS2SOSyXPUILDQdaQj+2Idei5zLa236A5YSZim5ZQykKy3u7V4/Cnln L7bnPKahsTtTUkY/x2Agg99IenMnWn3tmr6fNxuKg1Jzn5m2I8KR2mnezwZ1 VbsM7tpGtJvVzn3ty4ESj7j2FYwiFBbocUrmDwdUuvbqM94Xgm35g70yISQ8 Vx46W2XYBKPz3hECUySEBcdwhed/QM6v6DLfc+Ow2D0lTNStG2ZPmbqFz42D 1c8JpvF+BqxaSHQKOD8B907297AL+6HP6laziOAkhJ89ZN0cNAIfNVpA6dYk ZEoMc91S2OAtkieoumQK3kg1hd2sJ+FNtrrpx8QpqBE7911k9SR83WZSby8x De9bLe4aOEzDjPcDB7c70xC7UFXnFMCFxv1ZB8VkZuBu1Ge5E6Vz4L7FJD8/ ZQZcv+eL8GoX4PSfL5Ndd2eApk+jSbcsgH+Oq4Vk2gx0Txx+odOxAFFLrtAj Mmdg66Jt8gf6FyCD0qRgnzcDLt93b7+/9C/8DD+cMP9mBkrUU5f+cfgLeysD w+2oMyC992fvR8ZfsPMVbIztnoGn8Y4Nb0b+whG1uzLVvTPwVYBz69nkX/C6 +bZUgzkDoRdTnsYJ8yDGkW90bmQGMr6cX71ThwfvZm+75/2dgcVym8PCAnlQ X6hcTOXjAjvmds/RCzxocS/miQtw4fBZvpVbY3hAbf6RcUGYC54no+emUnkw k67wa784F3a1dkW5v+UBz/blmlhJLkyeEDi5tZYHiwUgqEqKCzcMfkhJfOaB 1Bl3CQ05LjwUq6FUdvFAQXnC1UmBC9FPwkdus3ig1n61MGEVF9Svrm1yHeWB 9rWVC/XKXDDUUfYzmOaB4ban1nOqXOCue9nN4/Hg/6+VMWI= "]]}, Annotation[#, "Charting`Private`Tag$2381517#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkGdUlGcCRlGJwB4LRZEmRRwkBiNZXQUpjxIUj7JKtVAsI4QqVQ1YFsyC GFw7kAAigtKkKKAQozuvUqQoySwgbZhhBgYQpQ7CfDOUd8mPe55zz3l+XSN2 qIvvYgUFhaAF/tqH3C3LLxfxEXOr1PbJnkESOp68ubGYjwnDiaiVowOkRHt9 oFcFH/Y3p1r0DAbIqF3Zo1EOH+amPNMVOf1kU/DOntg6PiKKvrL1su8nwcl/ aGtw+bjr2B4XOiEmRRwvt5wOPkz8+E6xeWLyefDTje0iPq46h21X9hGTjWrR DQ1DfOgfmj4ayxKTgB1Kil4SPkJed8wNfOoj+aeSbUflfBSH1N9OKO8jGypK y9WXCXBB8YVRvGMfWe/5KcPzWwH8ss/+9lVyLzkVF9Uxsk2AlnMfXpUG9pLs 4qUasRAgXnrNJW5XLzFSML76yEkAeoqXukMiIvo5nhEjEQL8Qmy2d3uLyJqx 93tiKgX4p7v1DMtVSH69TU4OEQHe7V7ZfX2rkGhtLbvoWi/ASbnKMg/NBY/+ pWxDpwAldWNRuhU9RGcJW58rF8Dtw/maUa6A6K+RThna9iDaQOTma8QnJjDK qarpgUq54G6WWhfJFWm8NmvqQX+jSZNPXycxiVvKS/nQg2JJ168hzzvJhobP qkEDPXB9+rdDBz06SdLXnhwVRSHmHv/vhU5eB0kpZ20sYwlRVNs+Xby/naTV /b5oSYAQjK6ZMOhFKxkXPo0eCxbiR0Ofu4eTWomDPHeCFybE7DG2sk9oK/li dlf0LEqIPwcmwWe1kgN3gt78cFUIJ/fgqu+TWshib73LjXlCnIkevh97rpkE SS4p3BkQouZC5WvTA1xivXYXNfQRoY+TeOLe2XryjVBVfOlML951fSeuSXxK ivPV/Z9H9KEQbtWsvFxcFHi3fHNFjHrJY8/vJ6oRbm2x/35SP1w4kkeTT7iQ Z9qzP98aQMy34QUPXreBG5Z24sfsQTR1S07ZmPBh6bBunp/1EQ5xUm77RREa dlvm77w3BMY250O1gxg5pamWvYWfYGbl/PW8zSBWG5sFHiv4jLoO1hO/iSE0 L1L+SfvVMPQCNlxqez+M58qRudyGEQywT0YaXh2D2WrVQHbtKPpVXfb9sGgC YzemV21pG0OolwcJOyiBcULC5tDAcax4TErtLk2i14PXZTc4DvOl5Ua26V+w t79F9jxkAvk7ZppEtVOIivD11xyZwIp7sZpz3GkcqEjfp3lOgkpJ7oYj/VKM zgZeXDItgUVvS+PpLgZZ7ZefhUROIj3EdlyFI4Pc3+ZE9MwkurWSe7bkyrF2 7rZn+PkvsHS+PpQcNoMBh2uNyopTyNeaUW61mkW1yXvoX5uCY3nMxgLJLAKV cxWNVKYxafyzkeT6HCofrLepvj2N4kd9nKOsefxhZV3roiaFpyi17Er2PJjA dNcTN6RosGsa/Lic4ub5h0oxt6TY5269M3UlhUli4cuMO1I8PpYVtVeNwr3g pTEvRQqWzpafH66iKBvkTbpnStFe/sbUUZci2Ecvaf9TKZC8ycvPlELondG6 rVmKgKPbTtfuoqh3ynRfrsmgTSPY1iCcIrCmn6OkxaBEP/V4aATFcgsz08U6 DOZGl8VzIilcDF7Ip9cy8Nar7j56joI30pwpZDHYmmhP4i5QjCYu/VT+DwaO hg8PFsZTrK49/S8PdwYf12ukWqVS/GbxbNDtMANPC99dwWkUHkVyp4NHGexj DY+kp1Pcv5tgbO/NINM8zZXJoDBlZ9Vv8mUw2BzvnJNNYU1b1RedZWDqb6fF LaRgW1rn5SUx4D1L6/T/L0XASNNUdwqDnMg3JJVDEZZ13F49lcHrrUeCGwhF jMq/RRczGOT/1KvFqqK419mg65LLQPldPWl6S9EWffjWbOXCv0pvr/hPin2/ R0Q78xi0llacNBFROIco1l/hM6gKr1tr3ktxZF2K5qseBhnKvAcWfRR+iS/K TcQMdtgYz+7up4jzUBidGWZQev6jkssQBUd+nZ07z8DuP9rnN09Q1JYYlPIU ZDjS41fAklC8Z5dS1SUyeLxlPdCZXOjb2HrvgpIMLi9XiBWmKJg03XYnVRk8 j4e+5TAU9EAx64q6DKqNGn8vlFEsXYIzL1fJkKXk55sip1gVxFYz0ZbhpreV ccAsha7Bl+OeujIEsZuKneYo1rXEl9xaK4OuhrnC9nmKjQlr5moNZLAzCtbR oxTfWRXsnzGSYc+hxFm64P8Hwv+Xew== "]]}, Annotation[#, "Charting`Private`Tag$2381566#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1Xk4lN/7B3AhaRHRZkmhkhYqpQ23NUUJSWX7WLILTbKUPohQJMqSrbJm KUKUVEfSBykhaZExM88sMYx5yr7N9/x+fzzXc72umet6zrnPfd63kou/lZuw kJDQGH7+753foSkR+bgPNktviJqL5SB/fqrGhyd9MD4b1Xakn4PKZTd629f2 AUul7JNt4W/EM6gq4L3pAwvLs0rRqwfQDl+9/ojmPljmmicw8xtAvqntsjId fbAyLXv86IsB9PiNvXXh9z5Qb9GsMp4aQFzOYOI+eh8srriR/V5zEG1dEdra OtAH3B9Vdy28BpHXwUWi9n/6IKzwreXvzEFU7Jqqy5vuA7nSSA/91kGkWltZ Lb2MCi1dSkJqilzk3g+8gpVUCD6ko+9tzEVF4u1b9q2jQprjSj+GNxdttBvM sVOnQonN7gUHK7nINTrk+7AWFWa17yW6d3FR3hMxmQigwnSee7vHHy5SElKJ K7CggqSK34ypxhBSLLSjDFOo8NowzjH//hByaB94HH6FCpmZIwV5L4ZQ9kQw Z0U0FfITq17Mdg4hOdMUe61UKojbJaSyhYfRmpGPh8OfUyG8TP2Ol+MwupeM nAcQFTymjG6/vDiM1u6pCjvZQoU208bCvDjs0PQq1R9U2Ots9vJo5TCSE3FR 7Jimwryp5kXH+WGkuGZibINuP0iX0BgGN3noft2AVPzhfrhz78S19EweWm// a9uYeT9EvqX1Pi3loQ25b51b/+nH9Vtqv/8DDylvS/h0IbIf5h12pDeJjaDN oFTY2NQP2n4LIoaDRlARXaZh+6d+4CdwVu6Kxr9Hi/Wmfe0HsyTn18eSR5Bq K1fKh42/x4lNkiwbQSlqdm8Wi9JAx7Ts1vdfIyitetPWqk00KE4szhJbx0eZ zS8XiHjR4Nras3o2/nzEpz0NHfGlwY4a5ZuvL/KRyXQR2RtAA/rLU1lyIXw0 uv0u/VkIDTwSY5NrI/jI/I7PW/c4GsiKmcqEJvORsINC5IdHNBDboRCkV8lH Z4Kkp2rLaHAopDJ2RQ0fVdwWv5BfQYNFYbSlP1/wkX3jqFPYcxpcjnz0zrKB j2pVP+mpN9NguM1Ih9rORz5/rgrdYdOAmD3uETbIR41LA0P+HaSB8+OSJe3D fLR2kzffm0eD+Ou5FmtJPvrvtA3NcJwGttuPiqZP8NGG1+oNYwvpIJqWXqcr SqLu2P7ws5voQMqsHzdUIJH2On3BhnN0kDfec+VfExIdse+muHjSweZNZ9Ye UxJZZ3mw833pcEqulE0cI5GPbOKnzZfo0NVculXdikSZq3qztsfQgStaXE6x J9GkxKX9+4vp0O8xrPren0Six8Ufhz6mQ9a7y0oyFBJJJWStr39KBwVWyIht IIlUlzSK6dbRoTeetuN7CIlsxCS/Gn6gw8neqJ03I0n0bL74wokhOtSaHGn6 kkyiBh1tVhKfDnu2fZF9d5dEH8M+n+kapUOAbm3r41QSEdNjcGqODgsOSNr4 Z5BIesJgud1yBpx+YTVY+ZBEASO/St13MmBX/YW53eUkClMPUCzew4DE+i/a bRUkijsvcmdgPwMm2FIGjpUkesBVC/XVZ0BUk3Rt4DMStXOCTChWDAgX/sxx fUmibTQp5tVABvCjvawt3pPInLOhMSiEAXu9uv9G/oe/x9v50D+MAWXhVZYV zXg/sxb2ztEMaPP9dWauFddfNrnbKIUBwq0SIh7tJHLckFulc48B6kI3RIM/ kyhCtTJJKxuv90Asca2DRE17O49tKWBAS/HnI4ldJDpmteL90mcMeFPxblVg D4n8zirli75gABzr9HT9RqIkp12Rc/V4PXW8GvPv+Pz9LHVG3uH9mPPNZH+S yD4+uabrCwMOnjNr+rePRL5NK4oy/jLg0rnlNbcIEiW2KUXfmWDA8W8XNXSZ JHratcslfoYBo+vjewaxR2mWildFCFgk41u7n43rOZec5iRDwHGVV8se/SbR fdG8wLNrCPCNeaR9YACf39IqKyt5Apo9PlY0Y4vKdS03UiHgHCvO+8cgiRK0 pGNVNQmwt/x5pWOIROU6ym4b9hGQXvBR0niYRB1Guw1lDxEw8JY5U4O98qSV YIkhAZH+8ewEHom0bF36REzw/08tH/yDfcaZUj9rSoBez4MTp0ZIlO1/J5hn RYCTQ6apJJ9Eb4LyTnFsCGh608Z0x6ZdrdKk2RKgfzd78CX2xoSukU4XAnJP XzQ4Q5Lo8F3Gpw/uBEx1rsnIxfbM/FP2zpuAb6P3znGwnxRLe9ZQCHi4ZZ+r 5x8SRX9F+iLBBBwcEXMrxrYXPi9veYUA1qqAI0xsTQ25sfvhBHRnHpBS+Eui JfbN7UNRBBRJbEQnsOlxgcUH4wiQKRw4HY79okbpWlwCAUrWun2l2LcZ7XY9 SQRI9X+27MJ2lwzbuzEVr2/E+MUYto62miQlgwDhbQYyq0Zxvbx6fqMcAmwM nNx2Yg+lRjVK5BHwarFWpQn2u8ad2XZFBLBvnJyyxc4c6btUUkoARcZQzxub ohB/YqKcgGzLG3GXsI8e3a9mXE1Avn1hdxj2hiCW8N3nBPxtk1KNwJ7Iu/OL Vk8AsxmuhWO3f4Za9QYCPOVzf1/GLpoduh3WhOtjfN+egn1VLdPrQwsBZFwW zQ3b2sbEcO0nAloFE0GnsLdHjSq4dxIgWSKhrI8t8jR3vPorAWGXdzG3YP/8 Zd6x4CcB8gHVaBl25eLZkhNUArZkU2uHcD3itEqichgERGhNtbVgO7naOHDZ uF5lRgtysfcliew7wCXg/JO5M5ewl79+KhU7QsBtXfuvxtjsAYfB7r/YTXdD pLFTDF/kBMwSYBtppP0Qn6dPgFvwGyEmuA1KODtjG+RIWy5byITwFosaRWxy 3Fe0WIIJnbLVo7dwv7SoyFHHVjBBfEqAN02ihxbNzw1XM8EflJbycP+Zlyr5 9Csy4TBfYjFgb/rWbrRDhQkq+SyCjvt5ViRM8YoqEx67l85HYJc59HSu3smE Q1zOTDXuf/EV8fvN9ZmgFdZtNozvU7/OfulsYybE7Ouyp2DXerO4A0eZQCvW fP2XSyK3Jnhw3YoJA7y0i1x8HxuDRxe+dmVCl+yJwXJ8nzMKcvuXeDIhZOFo yWrsgE7zujO+TCDFbjVf5pBo/bYS39FAJkxk56v8fx5QHb5si2HC528Dt2Nx noya6OS43WSCqLt201cGzptKBY8HiUyYkza9vgHbLrp3WjqdCQlttOoyGokO bj2rPP2ICczjXrx7OJ+mLllfaGllgqd61bYOnHcB/ZqHhNuZQJFkMThfSfT7 iMxC7S4mHOe16c52k+i7fNe9ip9MyIlyGJT7gu/P2xMNaVwmsDuL9u3E+Rok YSbpJsGCs8aGv+pxXvOCtv64v4IFbgqNUfdxnrvTFud/X8WCjPkU1tUmPJ+q W7SOKbIgb5FN3+5GEu09e9hRU4MFj3OqGi69xvsr0H+ywJIFxxbJ+TpVk+iC 9n6z+yksMFtqlN+ZTSIhv5Tw2/dYQJlLX+KZhfP1Ab86IpsFz0MT6mbwvCoV LlFwLWDBE7EuUi6dRIwWWZ7qMxZkX+MT+/H8sz41k1T5hQW25ooJf6Nx3vm9 6WmSZkOE1WShlzeeDw/kltauZoPeLW5OqSeJrDqD4JEcG4Jqgyd+u+P5sEej +IYyGwLWOXY5uJLo0fSDUPPdbDBJOq69Bc/vtbGRCt8t2bBw07/X9Y6TaPqB kQs3iQ2XI3As7SCR7oTOnV2pbHjysuij8TYSRZrvawzOYANjq3q1qBrutzk1 ZdE8NizPLE8P3UiiVbaSDIVqNgw+E+4BeRLtXPnT2fwrG3bG1dN1xXG/xfk7 V8pyoCD1Ue8yGh91BGQ6BedxoCv4haVMLB9tTZKaCSziwN7rHsEnovkoqiIm lVLKAXVTUuNGJB9p8Sgfzldx4MKebruxK3yU42O251wjB541/Vv+NICPvN1n F1kyOLA0M6a++iwfido7VmxV/g0lr8qNRtT46ICJ8nxf7m+QuNpxrDpmBLUa HyjWyx6AZs+Gn3FoGBVWZhxglA1Ce0HS6YUxXLRKZbu3YwkXJDV6RHZrDKCu BeLXZF8NQco+q+9fndioRvxiUUfrMNRFje686UCg7aukvF3e86AhY9Nlqg0N jSSOr9TsGYGmvd+W6z75gVRiYzX8vfmQxKJb2DR2IYZt708DDh/ENQj9h8ea 0RHWl6kaPxJunF21pvTzYxRCcfNcPUxChUVdstrbp2Bem2W6OugPSCXkvpJo bwXerHeYyPgfODj2fXWN/lfI/Rb5zO/iX+joPX187f0+mPbUcQqd+QvN3xY9 pPgQsG4u2e7C5VGQshfyYfzHAbZJ/Adx0TE48vbJOt8bQ/Bu80dQjB+Dn4sO U7bn8MFbvEhUafE4wLmnMfMf/8Dzhxt13iWPA5+eYiGnNgbth7TfW62YAM60 4x3RMxMw6Z110ilxAmbLwx2FL01Bi8WDUxKrJ0FE+Qf7Q80MuBzQfvQoZRLO My9cNmiaA6/hT2O/0ibhEKdBz/rTHATk/mMknTEJpGvk9LmeOQhfHEUPy5mE PHaccdTvOcj+0SpvVTQJ0narNlcvm4ee0NNJs88nYX7gWmC/9TyYvqSEWvZO gv6PBe5uzHmw9BNtiembhEueJ/Wsh+fhjHLa6lf9k1Be93lCf3wePG7WVW9m TsJ/V67PyIoLINpWiDczNAkHT6UYvNomgDfTt1yK5ifBekiwp5UigPfl6yt7 haZg88PjtwuvCOCjS6VASmQKGqve1UdEC6D3Q3f2lUVTkBHqE6eZJoDJTPlv FlJT4GwQ0XezTgAC8yebYqSnQFOIU+PQKAAxEQisXzkFAdfmbDXaBLDSx2XF Ztkp0DYIF//8SwDy60f/sZOfgvQLtyRzWAJQ/nK9PGndFCw5mkzz4glga+ya uffrp+Bq2K/LeycEsOtQidmM0hQEfmvoEwgE8D9dDYfn "]]}, Annotation[#, "Charting`Private`Tag$2381566#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHs8lPkCh206i3VYLCoSKdoiqdijom9a7fbZNmGzLtOWppud2tzaLpr4 FEuHk8Ou+lTqoI5LbWbRlMNZfopxKVNMojXofWcGmzIuc3tnXN7T+eP5PP89 fzxLuXFhh+YZGRkdeM//vfahZcu5RxQC772Kva8eJjGWvW2BTRT6OPGCMweG ycMV4i1erRRun1XZqFuHyF8Dm/7j8JTCuGbILZEzRA5E13qbPKdAiaNW75o3 ROqSfitXSShsLXpFZwkVxOpSiQvVQ+Efw54M/7iCHCktuNrRRyEBvAWLvRSk geRZ1Q5SGKi+k+U6JSdHp84Z/TxM4YO3siWfpcvJY/MTp1NGKWyulpN1oXKy 0I03wVNSUAfW3wx1kZOWiG+pz7UUUp36mbdNMuJS79Wo+QuNFonTxRJHGTnZ s9xPZkbj7JrphK/VNBGPO1Q+s6DxTx/+un4xTZJdTYrK7GjEfyY9nJBGk+7M 16lRbjQ0VZc8dFqKrCp+qdu2ksYEO+oZ8ZIi5+uexq1bTUOg66reLKSI11jN PnNfGv1R6pTMJIpcDMtFfRCN1TWGjnvK18TfKZB1Ofi+n93VKHUeJNv3dCdy Y2mEFt58ZKwYILsLjgzfPkbjJ+xMbi0fIEcX5Yjdf6Qhuax3MfcZINftpAWe GTSO+ZvXq0P6CWPxo59fOQ2L7M72yqI+IpwrT9j1jkb0ysUkJa2XNAb4D+VO 0Hi1bGS3ze5e0sF/HilR00h3GihTLO8lcoMG4bM0PNraNm9p7SE2uq2WHEsZ xKc0gkrLHhI/3n/3sLcMvqesdefLuokHZaU4d0KGVM03LSJDFwkecXl88rQM LR0vUk26u0i80rsoji/DhK+vaWxFFxHOhOzZny5D096O52kxXcR/UV53UL4M rkkDLQ5tneTrMGuRuVCGkdN7bsn9npNjzdal11Qy5Oy8a8wKnpCKcpvYB4ly xBSn78i3eUz4g9+98MhQYGHQSt/WQT5J8Pfb8a/8Ifg+WmH3cXA9DIVB3Le5 w+i5kvZ9yv4OdMZfjzl1awQFnOliSchLbPjSdW6g+E9cjEsYq62Ton3bhvIt N96AT6Ksm99QKKm6tkH26ygEAc1Un7MCdss8eXvvvEWFy+3gVLMRSD4wvbDo 93fw7BIX6h1G8cA0qbSzfQwHozJPxZiMwdPOiscVKSGhDga8uTeO8Ryt7fqe cdw3X7s9ZuMklmVmronjTaDNQxWRcXYKsmhp39aRCdhbxEfm/arC9qEX+gfH J7HLLlIz8acapxMPxdqPTYIzONLYNV+L4IcFX9mfnMK/+R9rBat0UM7w+Mba KXg7Hv5b7hoGxb3nhceTVFCm1UT5uOphiA2IOTOtwk5V7qqNDgY4zeZxEpLV ODxsJjVXGTD8ZfYT0/kamP42KrwinkaTeweWZGvQsDfx1vJfZsAzLZ2/1EyL tsuXN45vmkVN0fKApjwtVlRw7VvpWTzb5C8Ks9bhF/1S3y+OzYHhFXwTk6ND 5QXJiWuKObSFFIZb2DPgGCW5PgpnwWseajBZyGCd4tmKbREsLPw8P53nwOBN +3nvtkgWYc61Bq0Tg89tlTueclhIxySFlBuDUnflXdF+FsqsD0fv+zK4GvTp R9k/sLAT/ZASHc4gs+RQeGQ6C+4G/7KyfAYJ97g5swIW34+JNf1XGOBcllds JYv44n1BNtcYNAxk5HdVsUg1S6P5Nxk4Tn9SXSRkceOPdsewUgbrk5f5eNex 6DkTkTtTw2DP3y9E2YpYfFWXeCZUymDJQW7U5B8sQo/Pb8sYYFCZ3tnoI2UR 6XrF/vfXDJ4u1ihP9rM4klV7313BoNEmvVA3yCI92kg5/Y7B9R5B2KicRYPh Erd0jsE7x/Vml8dYiATOVVIjPZpLtlDNShYd3CrWylgPoeRqimr8/Y8n3TfO muhxiBNqvXOKBXPdsTfESg/jgHm5k1oWbHCFW4aNHlRw2q0FDIsPjXHiv7Z6 dGiL+f56FrZHudbui/SoDJJnXphm4eis3sdx1EPb5Fh7e4aF64ufBLlOesiz naqbZlmsylwwK3LWI7lZlSibY7F2050d00v1SKu4M82yLP4H5hVk/Q== "]]}, Annotation[#, "Charting`Private`Tag$2381615#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1Xc8Ve8fAHBZlcqKSraKUskoI/TJaumr3CRJVkkZESElLUkqSduIVEZD aaD5oIyIrCjzjnNcl+veY1/z/p7fH+d1Xu/XOa/zPM/5LE3vIJqPqIiICBdf /78bFEiXny2hgxJ3TcP8QDbylG6ptPpOh7/RdnTfcTYq0KnZrFdBh+j4bRuW xPeg+Vbfi5ZW06EoTrqruK8HHXL9qD/7Nx0CSw7fl9zIQZ9CX+cMNdCh2uPx M04UB8neeKZBb6bD0XWtTvJFHOSblfLgVysdTuxpn77az0Hf0C3Zj510qBIN 3ntPrRf5D54VSeqmw+cAdffU8F5UOu/kqeheOhjIjydkPepFS1b4UX48OmQH Lb4c/6MXle9zptuM0sFjRV0LR6oPqZzY6aI/QYefQ/IHq1f3odB46zqVGTpk NWzqd7HvQxpf9YpHJBjwVJ1ZNBTbh8Kbl5sy5zJAJqomz+hJH6rhL31Tu4AB Rt8O/o791odOa83OyFZkQPz7h54vBvtQ05Wuc/tXMKBl7QnDYzQu0n38Z8xu FQNuz0pcUneUiy58qg4yXMsA7d+Fp19Ec5Fef6HHvA0M6FRROt+ew0VxtET4 asuAvNfSUD/GRRaqVkKNwwxI5sXKzorpR9vcmkK8jzLgTqOe/Zm7/cgpxbf7 SQADco4UDmdm9SN/pYQa7TAGPHrhskCysh8lK7alrIllgFJi5D3v2TwkWBBm aprDgLVxF/XtTvOQ+H9zXka+ZIBHcGNi1hUekr2eov75DQP2K+zob7rDQzpS pZKbPjLA0ZC6npbHQ86SMn9sqhgw6le6cqaLh97P5JzYxWXA8HzZeS0b+ajY 0oJMpBjwbGV2aYwdH/2K+u3SMMyAbKVCH+ndfMSaGIG90wyQDL8rV3SYj+TH rKUPSDNB99Evq/DrfBTMb39+RJ8JOk0Bbkua+ShKL1gtZz0TGm4YZvzs5KO4 QLEkjikTlpN55h5sPkrvWxUZYMWEJeaB8mYCPqplh28NoTHBa6F2j8t8Cq2m yxJnTzKhfmSl+EVdCjmwNUrDTzGBb5AEzWspFMzTzwiKYgLHo+SThgGF3k/t dvOKYcJsQrrzgQmFLJRuNdneYUIxLbhgiS2FdtLkyua9Z4IDePzzP0Ch4/s1 n4gXMWFbocOPde4USvQ0uDD9mQneWuW+fZ4UajruaMn/zoSaOze1dxyhkNu1 Wx8aGpkgVRudlB1MoYAfclkPh5hwm3fjzMAlCiVUa8YkjeH1T671Moul0JsG A+9rk0yQ1F4hdzqOQsN0R7WzYixQLNos1X2dQlHTt+55LmRByRb73mN3KXTd WP6KjhEL5vlv6V3zjEJ5llo+GiYskDuKfs7OplCdraGNkjkLtvu0WbXnUEhh D00oZcOCF19vrAx5SaHUoKQIHo0F1fesZ2jvKPQqR/7ohxAWXFonWjSAKBTz B1mJRbAgSjp/e3wJPo9ooLLjGRbYuJsuVPlOISm3ilruJRYUEA6nV5dT6IhM 1Ibld1lQrP28fKKaQpYWq2RCHrKALum/xb0Gr3+suQelscAh7hvtcy2Fvpfq px7IYoGb9VVT73oKaYSTorcLWeC3M8/2cDOFxjKT2umfWZB/Vt74bguFan9D gV4xC9YYbxGivxQ6uyr5WFUlCy4PmluItVGotd2hblYrC/Tmn9ll1UWh/LlT ubs6WbC30ZVvRadQnHHupTQm3q+dyXMLBoVMEsVMzPpYoGtyIFGDRaE7NkVp wVMsCLpUMJzZTSH/YJ+IbyIEWKVn2YSxKWSdJu84X4KAayOtHKseCg2MBojn LCDgi5qHSxWHQpXLlnaOyBEgfi9VL7aXQhm7KwptFhGQdXgiwqIP5+NzTf8u Nfw9ienoB1wKrWiptV27DL+/uGv7pn4KTYlFqZ3RIcC6xC2zE/vFweb6RfoE xI0WK8rwKTRH7pqpgxUBH60H3q8boFCXpal8qh0B4CqZ+hy7wI/s42wnwLuG Y6UxSCGfH5B+mUaAcagTYxLbYoB7qtGZAIW9O7u9hnA81JJpmgcIeHt5uLgU uzRiWOLrIQI2Op1dEDZMoYdPH3dJHSWA7NgWX44dXO/w0SUAn39RyqD8CIW2 zUwmZQUTcKauxN4VW311bsDwSQJ0IyeTU7FH9zlvsY4koM4lgvyHXRsjppF4 Fv+Pur368qMUepb/ZrzjAgFT93PO22FHdR5sXB1LwNhYSFso9vBWyzSfeAL6 vbpvpmIH5Kv4picQMJw7L7YYm1g6pf8viYA//MjSLuwDMW0T8vcJuPHl8/YJ 7Ib+Tz92phCQYbRLQ3aMQjv2JSfEpuPnNlk7NLFLiyNdip8Q4PBHu2Yt9kbd /VoT2Xi9Cd2XG7Df3jblGr0kwEZ1FtcUW3d6cUHgGwJKV3ITTbAzj4ydy35P wKWPy9INsJfWNW9nFBHgs6VpqQ52klnBQuWvBATaq89Zgi315G6HUwkBHqHK /uLYF+eHZSeUEXCxuGkrF+93PMzpROVPAgre78z8jR3cZWQuWot96nR0HnbP toUSFg0EIFF7ehy259vB2rBmvJ7F42p37L/KDQ9etxJQreNsq4+9+3K+N6cT x0PczGEa//9KXuKaZSwCXp2Q6S/DLirZVXyvj4CVptGC7dj6q9fF1/EJEKVC AiSwc+5IO0kNE7Bwo0LMFxz/+7417LNTBEg15r9UxZauf5lfKELCf02lPypw /sRuvH5mQJyErfOeJwRihy+wl/FZQILHpXK7lzj/eOG6/x7JkeBa8MvMDvsI fe6Tv4okWFva9//D+ev8rtJ4pxoJyrYT6aMUzheVHJFYLRLOpH1+Fo29JfZK FdImYfP6xadEsTfs3+JutI6Ez0/9bk7zKPSydMXKQCMSdHMLWk9iL18jMZhl QkJIqJ2QjetJQfj98tLNJOwYuUQvwfU3/NTq1SxHEnTUjrnY4noNkNaMMN9L gk0OszQZ1zMRIWIVtp+EZSJpav243ht3oKYeLxKMi5w+XMb94C1lMfU7hISr 3KG8WIJCJyxM7R/dIeHfIlPTqg4KiRy/c+7mAxK2+S6spNpxv0+n3p1PJaFX EDiyEPu5aK7KoackrOv7pb+7lULMSiWeznsS5HKueWfg/ue0dzIxv5GEhMPR Rx/jfsmM3VeW2ULCM5uHX5NwPw0uejd+u42EFakGv8//wvNAOcA7nEVChLj6 uj1VFCpjtBuZD5EQZqKgUF9GIePj35p/yHeD88Xd44ZfKPQjfem8gkXdoK6e z6E+UYhWHw7ZS7vBN2nD2xcf8bxbvy7nqlY3GG5d07C4kELZE+mRDobdoHC5 4nRVPoWWXLmg8texG4J7imqSsyg0kW7r3ZfYDcvrDamBGxTaNGaZZHC3G1ZL m+7XxfPrgoNJacTDbmgVdbH1iMf9bHqVlnhmN8xdnZ/9Dc8/RVcZpsq7bnDv e12/5xzOR4VWL4c/3TASHKX5Lwj3s7ggr3wlNmx8IPrU1QHnZ9fRW2OqbLhi /O2Y9k4KcY29Syy12NB5TJvF206hENJJs0qXDY4JyaNhdhQ6b72RwTRnw/lf o+VuFhRKnhL3UnBnQ4rBqU0Jq/C8DE72jMhkQ/f0gXdXZ+F6T5SdPJnFBsMM B7Rhho8uvY69G/KcDfU+yzNo43xkzAupCnzLhvef9ohG8fkozd9+/eFSNjA9 P0TfaOMjvyNTsx2ZbGiBzSKv3vKRuJv7a12tHvgwICLe58ZHZlu1Zjoe98Dp WwfVfzzmofVPquIqnvXAMgPZbx9SeEhPGLIwP7cHlhtbX868y0Nahd9XxuT3 gHICmRR4lYfm6fjs0S3pATMng8afwTzUIZmTE07vASPF8OWpm3joQvnaPTLq HOAsmVWY39yPftqZ5WxO5YDIuVZWr4CL++9DM+aLXrj/IGCTV2svUly2xs89 tw/CMl+wIh/0oIZZcy4qfeECR2eo0aCDRB/mhGbV/ezH9fWnsJjDRGsUZf28 y3hQ/Trk9qOuLsRPGFUwaubD3YrFzgpjf9GyK1fWBflR8J92PFWg3oCYrm2t 1mwKJA41VexcVY62kY3jH44PgI+/sF21LAedCvE5uqh/AI6pWM4auPkWHApS diwKH4SSVtX9rOQq4E35RYmNDkLt0MbbnNQ/8LjlwvvjoUPwpnU3bTO/AyaO WnpGTg4BuYHjI3mTBarTtw6cOD0MLfZzJXS6cVy3XquaIz4CDcfdovc/5cJ3 7V+gdm0EMpT0fZ/lUOA3J0tcc+4o+IptjS9oHoTCjOWW32+NgiGtfKeYwQjU mluU0eTG4ODFQptd7mMg8EvZ45kwBqJ8U/kfkeNQuTt974JFAqA1ZKj2F02C t5lFdvYdAZxVvfeLXTYNx/prRtrvCcDmr5pgsHYagh972Mo/FMDc2wcWT7dM w7m5lxhRaQI4xFLTk+6dhtR/P5VpWQJgn5LPXSY9A82R+xKnCgVQ9UzNRNl5 BnZ8Col0bBMA6fG22oScAcfj4pWxHQIYTDgvp8GbARete4u+dAlAa0Xy+tlj M+Ab//GdNiGAsJU9Mg1zhBDjKsKb5ArAu+38bNc1Qvg2ccM7a0YArUGRHoah QijLU89vExmHivu/tedECeGXd75QVmwc7rAPFrfHCKGtqin1zOxxkHPw8r14 TwiCZOWW3bLjQAv5cgJ9FILQ4dWKWPlxYIReL7xWKgRJMTj5WWEcfO8vrHKu FoKCv7ecttI4cKLiaJx2ISirD3scUB6HIcXFFW9IIWg1Xs5LVB2HVeceSUTw hKB7ZfF0mfo4KHgELbAYE4KBea79pOY4MENbO4RCIfwPV5QjZQ== "]]}, Annotation[#, "Charting`Private`Tag$2381615#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHs0lGkAxoWVrRRKqkmiCyubVVFCT0qr0o3SrlzS7FaaXKOLZWtJnIMc t1VCyO6g0q5KdPNWhky3Uy5Rwvi+QXJLmfHNuLxr/3jOc35/Pb/zGPEDXQ+q qqioeE3k/45Z9/PncwkMzlRMnn5Jr5PM042UOycxiMvWVQsw7iB2c5PrHdMY xKiynavypcR7Yd5N+4sMfg9JlHitl5I/TEqSrLMYzPTZW2/Yy5Iryx8HWOQy OPXR4apFHktEVm+2mf7F4Eni/jnvPFnSadduZlTIoH6aVXWkAUs0HQc1511n kHeb3lnAMGSbq07V1NsMtH2LHkeFMiTA3ShfvZyBm6TazcuBIUk+lpFj9xno t9vyV2szpD7AxX6gksFrJi1JebOdeMYnl9bWMVi1e+ipvWY7OZ2Sl/q8kUHW xUOnl0kkJDejJFjUzGD7KXctZbmESAvefH+HZbDf6keO85MQP5GOMOMrg0bz G7zl99pI4nOj6JThib2mI60mx9vIv7WW/PgRBl0WTyRmlm1kSOKy4Hc1FodM 2aN611tJxFhyus9MFkL/kS3W11tIgrVurMlKFjetix7JXjaT4kJd39JjLCoO zH/eHdREohuIg9pJFlNissZ4a5uIp6o/zyWcRXRhd3+xWhOZ4vn0Ve9ZFuGv pog7LzSSQzMirBb/yWJnyuBpgegtWXiiQzW1jEVM5ooF8mUNJG1jeXbQKAuD 54/nHzKrJRGtXnXLYqSIivb7MM9LTIac7LMPxkkx/cnewL1TxcSvZP7hnEQp Pg6npz+7W0M8opuVuhekWNqb8MJdv4asNXM3VhZIITR8+kyloZooju8JrhFL EbYmMYt1F5ETWs4zDmp1wLa6tWPrNEKC7dY4X07rwLaw8GzLjUVEmePI70nq RKyT6QWXX27hddAln5NXulAsXKm/6Z0YNk7G4y15HzFnkZ9v0Yx6iDfZFK7P 6oaR6sYt+pXv8XdJhg1z7RMcRS3SfyUS6C0yF3gX9WB60Z72dg0paidpRs19 0Avt/tzQ1N1dKNUMEb4W9yHfYe4TLvQTzPW0BfyqfojjN0Ss3tyHgUT5rJVv ByB4uPfXxYafsSg21iJQ8Bkic61rCaGDYPY1v9/Q9RmX3/DEh8u+YHNHnaI0 YBA52S2JP2gO4dSxg76z+wbxz0CBureVDDvuZG6dfeILwvX8p9r4y9E/KohQ k39B3xuv1ZujhpHXGHk7IOQr4hJ2lzpFc1D62vuEjXyFwNfjm1MJChiMJXsE /zaETLXhEkWIEp1O8c801WUo5lZNmuE9gsqlL7AgXobNu34Rx68YhUBTqG70 rRwaDzLLv+keRVnuYvvKZDmuNh5wCs8ewytbuypXnWE0fyeVhViNgxNk7vZJ HMbbAfV/PtwbR82uHDet2RyiUgOP8dZSCEQdFZPnTPBx8846WwqtNeamqvM4 LO6CZ7w9havhXaXcgEPPrZCdw+spmvtqcyRLOIhvu7pWOlH0x2l8umXFoeG+ 7YtlbhR6Vf6n97lxOB9pIFwXSMG3sSsoSOOglar70i+X4kjfS9mHdA7qHbKH OlcogvL2O+pmcHDOmRxamk9x5tuz7RHZHDJSGi0UQoqsd2Keq5DDK4F+V3Ax xduwn5JGyzjUnK/1ML1HsfXesTCXZg5Byxtzi2opXALUa2JaJny8PbaY1FP8 bJw++0EbhzJfx/L8BorDcXdvLZVyaP0S3H2xiSJ6n0r/SC8HyyO/XQptpahQ nucLxzn0bYpzGOymqLphWNKsosBUo9duHj0UL/glVFtNgYglNpai3ok/ntVn hU9WwOVkgX3KAAV3ide4S1sBaHjfMJRR0B3FS2J0FZBtXzJ2Rk6hoYbQ+7MU MHl0cmbbMMWso3ydpXMVSO78mp6hpOAZDu334ClwpGyNumyEwrju3I0kAwXk Petsdo5RmMXqj1UZKtC+fZZ14TiFpW2R84iRAqkV1UpKKf4D5dQYTA== "]]}, Annotation[#, "Charting`Private`Tag$2381664#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnk41N0bxpWppGQrkqWMpVLaLBHepySFUpaKkqQsibGTpUShInsqW0WW lLdQlJZjLdFbtsjOzHxnhjHzFWGMZX7f3x/nOtfnj3Pucz33fZ5zlJ29rV2W CgkJYcT4/xzzj914dDwV0KNCVB7MQBukIqctkqhQESb+UM6RiQzlkjtM0qgw FY0F9f1kIsdNT8uMHlIh9P1SfX01FrqxuTRJN4sKEWnA511hodwdNZSdT6hw yP5Vm+tzFqrXaT265RkVGh0cV+8dYiGG4bCGchEVindRBcJSI0jE5I/IhpdU EBjLFf+GEXTUWrJh1RsquEf111qkjCCKvXIe6R0VSkVcKzsrR1CS0+7IhQ9U 2Mcv03TsHUEdFCsjvI4KhsbFk1aKo2g68II86ysVBtxWK8sbjqL113xnh5qp IOtFintsP4oc4pLftrVTwUYl6uLR5FF0PeVpanMXFSYDZ1Y+ezGKnjwq9a3v pULdAqldpmEU0QtbNStoVODcGr2TMDWKPOslCx5NEvuFrLmpaclGCc3Kt1Jm qMAnqff+cmaj1227nePmqLDQ9jRxKoiN/g5ZKV0TpsF0bEJxRTYbhS8kpztJ 0yBu/YVfVIyNcki5AfayNGjsp+/kTrNR9aoya2t5GlSkWqHMFWOItKFtjYkK DarC3VTHNo+heF2p2M1aNPCtPtrx4dIY+teI7LJpLw2yrrjnafuPoRaTPQfl DGjA3qpw3y1yDK21sRaIHqRBl6XNe1L2GMryTgnmWtNAusY0xqZ1DJUUSbm/ 9aNB0p7G+LKdHHTrFzogHEyDz6cydOIMOMhhqZe8VRgNRDjVljsPc5Cow9cf YzdpYPQgamrgHAe5iofrqN6nwYm9bqILtznIyHCruN8jGhx5apNlncpBay93 slA2DSZ0X6SHZ3NQXe2urLMFNFCwuOxtVcpBm4KwpamVNHDLGQ6W6eKgmdyU vqEPNJAaeG+/eYiDfvyEih3VNHi+7Zia9AgHXduacbmpkQbKsdu0rvM5qKfP smVJDw08RB345fJclHbwXbbPPA0YTWpeCnZcdMXHJfizEB0cmZ0T5PNcZJwt ZbV6GR2Yye5SYq5c9Gfak1QkRoeF36vr7/lzkWWx8pVBJTqkuq5rt7jHRWpd P0w0Vejgk/drY2gqF80LhyuFbaaDZdmoSOIjLnpxrrNVZhcdBiOMl1LyuUhE Mk7P8gAd9mQGnFn5kYsGjfSksg7RQa9K6GJgDRdVeGDsETM6xBVcCm76wkUu 9fA42poOJvstfu9q5aLa4L/LPl2kg5bh8tIpOheFD5xr3xZDh4go/TdpIjj6 e9go2+UuHcSmPwxkrsaRZ6mC2+MEgg8k+ydJ4OjsrV6+1AM6bOralGq8Hkf7 NOzJ/EI6fBq/H/xTHUdlqXpjWi/pEP7k2DdTDRxpLMhWeL2mw89c576Xmjja 0NJpNvyODsa3S6mHtHE0G2jr2/iNWB+fHvdqP458BrUMlv6gA/WS68qnB3HE OiK9zLCNDnQ1B0qUKY5+y7c9fNVDh41d5IB1R3H0ruZ4dTqbDubTfH7EKRzt 2rbzbgtOB5aiqfFfOxwVpa2xFf1LByfdPIr9WRw9cPuPeW2eDtrjp9nT53EU JGYh7iKGgVc3+26kO464QRrdOZIY9B4pXHvDA0euQyvzfq/D4PZslZOPJ45O lTfqHlXCoPu1SoG6D45+KBQJxZAxkN6a1DrmiyPTmNgmpI6BmM9tlXx/HOnY mzpq7cRAFpZkjgXh6GWt2hYvLQxy6qPxsKs4Ut2+bKJgLwa4YW7jQgiO1grq ojfsx6Bj72fn7nDCj2cHSpZYYXBPxjljIpLwY41ysMFJDJSbVoSuv4kjerDQ gUB7Qv8L987uWzhqN0cdrAsYbP3uddcoBkfmb3JyyK4YvBYyyd0Vi6Naxevu Dh4YsFp79GRvE36NG87/9MPg8qoPmugO4dcZhS8rgzEo6ZYqvXEXR7l1c4kH wzA4Xm++oBNH+KfZa38tAoM/IqaqgwSnpFepVN7E4OSTor3h8TgSFcrgjMdi 8DD09xGxeziKuhxSqRFP6JUvuqcQzG+zi7yUhIFpjcjzVQk48jXUs8hJw0Ay /blcCMFClLSIxIcYkHykMzsITng8Xn4jCwPh5R/G1RJxpNB6lOX7BAPFhOLN XgQXL32ucPEZBvmydUeLCdbTXmZlW4RBwMFPnv0Ef3G5EH3oJQYSvK1py5Nw ZPvg03vd1xhMSvr/VCOY2ijH3fwGg2bxPg0Dgn34gWS5dxis+hBVZkrw4ra2 U6IfMXj3/bzfEYLjz+2Im0OE/wmHg/YTLJ94F43VYaAeOvptB8HF1YzJ/q8Y JLT8uipNsN6E8ZafzRgYagckcP9/HpXHDtU/MXhisEammmDbk3NJpe0YrF/a vOE2wdSY0w25XRjUvn1daEqwz7vy2dReDLTI+V/niHosjojviB7E4IweJbqQ 4Hh5T+cgGgaBqWVsM4I3HGtMd2NiEDI3S6IR9S66rtpsx8YgmV7S60dww3Cf lsEkBt42nqNBhF+20vru22cwEA2u0GUTflJN7mcpzmFAN+G4nyJ4sfDYMiFh BhxRvFwgSeQhvvu5/p/lDDDvEWu4QORlw6rlFKooA25Gnh8vIvKkS/ncWS/F gLkV+SkKRN7qH29YVSHDgEQndQUzIo/WrUFQuIEBxk4+XZ7ROKJo7yy6Q2bA jxnXFRlEnudd4vpC1RkwGNh7Ly8KR3cfMCU8NRhwjfz88jMi/4X8xyGWexjQ 1dx/MD6C0Ns+XwK6DNj1w9rG/zqhd86OumsfA7wrjXqsruFoqFrCQtqYAd22 Od5ToThaHxup8NuKAV9HSVldgTgqeNd/4ttJBnRe/cciLABH2qP60VX2DKgW VS6TIe7viWMTnKwLDFDWuNagTdz3O9IX0QVfBmQqlXWsIfoD/7GJMzuJAfmZ X0f3O+DonxmjlN33ifPUzE3tO4OjSMu9tcGPGDD836fmbUQ/ElnYSiblMiAn y4X3xwZH686IUxXKGaD5RdRQ0oLoX2t7Llj+YsD3zkT73L048r/SnpzWzQCP CqOW1To4qqj9XtPTT+jXUxIoe3Bk5IuU3RgMiFSRXZQl+qv5j2fDETOEPmuF jzAZRy63vS+UyjHhxXBAurEokYdB9+QZRSZQ87bVqq7A0Ziuc40RmQmV+O6n i8I48sNslZs0mCC7Uynl0QIX3TDeN0w1YEKNnRLbc5yLMuZJF9Y6MqEhpPNl QgcXtfhkOAXnMuGcfOYDLJ2LNJIk5gIKmFC/VdhZnHjPbr6Kue9XzIQKs5V3 9yRykS7Xr8mrjAkLp8uWusRyUfYVC+1LtUwwVDEXDgvmIg/X+RVWVCa8PE5J oZziIpKD4ysNMgu2qV/XuCfORY5hHWZb1FmwP5vUNiLKRZUZ5nQ1DRZor3M2 27+cWN+tK6e8hwXM7YFveuY5qPWU+E1ZYxZ80intaCDe9xyr6lMkZxag+NLJ 4FoO0j9MXux/ygKd0KIAJ28O0s5ruv01nwXkZZYK6z04aIfAT7r0OQtOpnzf 1nSJg8iVdVtulbLgFd8rXvEMB63a7GKjUcOCvjCDjEgTDupfXlQUNMSCO8KO YgfWc1DkF00b8Y0joKbDHyj5MIa+HdIv2p81AqsOF3ytmmCjq1+v74h4MgJh v73yEthstMWs/s2nZyPgIVGV4EBno5ijx2v2lYxAs2diNuMXG5nYuPRofx4B u3K3wfJ3xH/OKXn11qERkDsdtkznGhtVho34SKqOQt29dM7wEjbKL32kT30x CqdLVAfO80fQOpXtHo7P2RBD905z/8VEbUtEouQ+joHYQY0OUW0MvRXxL2j5 xoFcc1JTy0kq2r5OwsO5gQv6L5LWeXQPIDxheq1WJw6u4navDkj8RiqxsTu9 PcahSxodOmLdiqhnenuMmeOQH6VJ0auqR0ew9tm3lD/wTdrZKft1Hrrq5+Iu w/kDmyRKbDI63oBlRaa5TNAErMtbfT0gsxm48x7hwtMT8PLvqpuLazrhaVfk G4r/JOSXHtfOtx0AvruRU8jcJJg1Gi16Ev84xYXks76hf0FjR/QuVTEWMA7H NYmQpqA3NGAno2EM6tS/g1LcFHhcttnPrRgHD5ECkvLKadiVpNP6gzoBlU9U jeqSp8Ei5l+tnn1T8MPAsMFacgZMyQlqZNcZ4Hlk2jglzMCe/RPUkohZaDzx +KSYDA8oASq6bR/nwFnfsLAwjQf1JozLk18X4DLnv6m+dB4Mn+Gfn25ZAJ+n 502kHvHgPz1Zc173AkSsvDkcns2DtqrUGR57AbK6v8lbF/Cgw78yjyO+CJ0h p5PmK3lg3sd+mnd6Ecyr/EKsenlw82e4iRFjEawopMaYfh5Ir2h1UMQXwY6c LvNxkAeikGE9P7MIbnffl6vTeWDx53N7xUoB3DojxJ0b48FP8U/rlTQF8Jl/ z7lgkQeZA1qSb/0F0PDvxtJeoVnY7SdSEhUugO/OpQIJ4VmYMN8qfzxaAL1N HVlhK2Yh+dPtK/R0AfAy5LtOSMzCuK31N6EqAQgsS9RipGZBS0mBXl8rgOXC EPBh7Sys9ixojm0WwNorzpLqcrMg7Ku3uLJfAPIb/54/Kz8LH08MHP6GCYDc Hv1vkuIsmC2PPBvLFYBGrOxCw8ZZEAx565nMCGC3wXOLOeVZaDvM7xcIBPA/ tvS76Q== "]]}, Annotation[#, "Charting`Private`Tag$2381664#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVxXk4lHkAB/AJ7VKRK+UZR7T0PKrtaUkm9F2tKKwcaZMOqx25kmtzpEMr noi0iZSalFihVqRTv+2YmKmcucv5DjlzDN7X9e7uH5/no+d11IUvw+FwXP/z /yY/26YbbaUwYvmAtzqWIu2WZqqZ2ygsmjuwRVjYTUr9JAN9OyjIm5zkF6/q Jsnpfwo3OVLQCJBRcnraRfhvIDjrQqF8k0YE49lFLEYHI+p2U9A13TKVr9JF 1HWuuuh5UAjcrxLmK+okr8KlC8sOUZjgTjfn2naSjOys9kU+FB5zVHZuXdJJ gmocn+wJoJD2k2Lcg7oOorsmL0AaRmHes3M+2reDRLftr1sTRyF28CW92bWd SG0tr/MTKFgGWUdFzbSRgCKtw4JkCgdfNzhV3WkjHrGt06rpFDT7+PPKnDay 2chdfzqXwsradiV++SfC/L4ruEJE4d3yfJUdyS0kqN3YXKaSQvH66wm29i3k y3a1hRa1FL538BpaotBCmri1V+63UDiiRgeL45rJ45c7/0kboMDb13jBKqGJ HFO0X8pXlKBH23zrNwUNZPiYUfMNFQl+qNdy8wlpIN4dCreblkmg4MR7ZsZr ILuLK0wddCTYKJZNWl5RTza62xwwXi/BYhftkaj+j0SabVW4wFkCd7NLiwtQ R4ItzOxvpErAdWE5NTrVhBOYeurCFQlueOZHfO6uIsmCkeLTmRKcExalhyZU kbsyeVqHsiWIeyVXmNdUSboqNIdXl0hQfD8nUz3yA9nlNpNSVCfBviNiMakQ E9PAFw1vVHug9LIv8f01IZkWWHsNpPRA6HoyNUv0iFQHXfUMv9WL8GrB37dr C8Cz1Z//nPUFXd4TBYbh5RBt4/31Y2YfRvavHPA1qcOdogxeV34/7Hrco8u7 W7Bs1Vq/A3kDKNFbYvGwrQO1C+TPaD4fhGXO2dL4QAoP5UNzqkVDCHmlHJon 7sXaZcp+XsJh1LvEhD2p6sfX5El144av4K5pX3B6agir4uPXH/UbwUB1d2KJ 9wi69ra2bO0dwVKTpg7vslFsl9QxDwNHYer2Nu6M/jgiQvg+GkOj6F9RI1v0 qxSOpdfsNI6Nob78N/d1BRMYnvWLlp0cgxt/3m6gZhJZjTElgaHjUPGfyXvQ PYVpH0vPyJlxmPv5rg6dpaE9d9EjOEqKQ7NW56fGGPTYJorl5SZAVgw49AxO 47Xhe+gkTmCdhpYorXoGfvI5cnoKk+h0UFOaTp3Fo5vfWb6+OAn/bBuxzZ45 VJpbCF1UptDcl1nSPzcH2u+aq2fyFDQmW8rSUuZR4SRwU9SgcSLbgOXqsPDi WeTmptLIYZrVCy+y8B36MPEpjUbnqSi1pEssgrIOWqtm0LB3v9zgf5nFKYU/ OqOv0+CKvO8aZLDIbBZxXXJo9NGl5xJusmiI/CVl9hENQa/dBs37LOyehkQ6 t9IQSoaj7N6xcA6Uq4j7TGMkyXyl7AcWe/TTNJ630zAWpCY+rWRxOOFJsSFF o9A1u8SglkXsXs7wzCAN5xiR81ATixfTSV458zR0y8bfWPWwEN7TLWrlMOAL amp6elm89ypilWUZrJXk3knoY9Eq/ph5/FsG/dXHb1UOsqCvchudlBlsfBc5 ZjvOgnUsNIhTZXD6ba1Zt5TFN7IIe6bOYGjyls2JSRbq/l4qhpoMTuj1Py5k WHB1pQc9uAxUB2O0rWdY6NedvZeizaDwfO2O5lkWRvHL54S6DBpzBi2PzLPY YJ5nP6PH4NNEB8OyLP4F/frU3g== "]]}, Annotation[#, "Charting`Private`Tag$2381713#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk4Vdsbx4WkQZlSOiTnRl1cchUp7hs395QMmakQIlGmylBRCt26dSKV zEMypG5JhlKtzCozP0Io7eEMO6HiHNP57fvHfvbzeZ61v9+13vV9363uHWzv Ky4mJvaBfv57b7VmpWiZY/AhcJvE6cU4GjHdLp9hgUHzElJ3WxuOKgJwPncv Bvx17YXbWQRip9xsMLLBYN7HeuWVbAL51kN2vD0GDrMpzGaSQCYTVGS3Mwb/ Rv+TJNQgkeL6NHv1gxj8VTMZxnAnEd+SpRPsiUFVsv8Pik2i2ogfi1/5YPAk 05fBfkmi1PzckWX+GOQ6Gbo0ECQK6bR57nocg6mwVnPmSg5S0y4+/uMUBuuD K3wxJw6acnH+yzwKgz5G6MGRcA5qi5PYkBiNwWRIkqHRHQ46N+zerZ2AQdgR vfiCDg76wTLN9L1Kn2cv6o3jc9DxUpWj2WwMCpZnqTgu5qKDcYMz8ikYdIkb JygbclHX1xf1VukYZCW832RgzUWWLmnshGwM4iLdbsf7cNEOLTfmTCEGHhMy F5ewuehp8nbK4CEG+dvb5azzuEhrfk3FiScYpAvf8qfLuWhdR+/ez1V0veIu tGYNcpHwtGNo81sMiiTrv33fwEMhIwY7xdswAO2WUR19HuLsUVhs0oUBK8pI amEXD31gdN19PIDBDKY6EuXJQ1U1tm/u8DG4YN3pCnd5aIu23tWObxiYKi6r u3efh4purXRc9gODXbtbhqqf8lDK0VYyeg4DJYnnWnItPBQus2+VrwwOA0s5 L9izPDQWrtWfJYeDRNfRYx1SfOT3aem9D6tx8JxITOuV4yPnsmZDq/U4OK1A Ykab+Gib218eBno45OhUK4ba8tHDWo3NJwxobjJ8LObGRxt1Fk8WGOGgWxE3 7enNR4qiuvh1u3D4dLpq+c1TfPQj3+zRIjscBg3q13y+w0fHV6pH7HTCwd4q 1mF5Nh9hEWJmp91wyA1vUJYp5KNuS9TD8cIhIM4zLq2Cj56Om8y1h+FgXBzH n+jmo1CT7fuybuHgGGihv0maQmJBt87fuIvDfdzRpUqGQuzs8bILGTj4OD5W 0VOg0APxYhWffBysNhxZ1a5KodFm5bFNz3BoPVHYOKpPoZCZ00zlKhxMdLN/ KzGk0IJ2l/Oylzh84Y0sPrSTQowbVxFVh4NlcjQrcjeFHJ1mE0u7af/MEut7 TrRegktDXh8OK5LyrlW60XpVZcLkQRxKYvQTKtwpdI1x3Dv8Cw5ntEUPT/tS qOHzR4Od33Eg3JWTRCdpPQVjf51pHA7UiEeGRNB6u29nqM7icM+Mmm09Q++n 0HqxmAQBM2KjT21jKWQY9Lq3Xp4Ah4bM+JPXKVSfvW55hRIB8UHpi20TKWTf GQ6F6wh4xhosX5tMoaCtekVXmASYnDVwj7hLocKZ7Cib3wk4HvuB7ZdH6+nM PQJDAixqPD2r8mk9d9fRLTsIuN7qXy4soNCnN7L7FMwJ6MpTub6vhEJrL8eq fLCj9e1UxLaUUaigamj/WycCmsR2rREvp9BWnnH8Czf6e05TX30FhfZbT37N 8CLAdyBqQOUFhYZjbJhsXwIEYyPuT6spdPzJA+fzxwhoFNeSMX5FoSsKPsgr lIBm5ZzAdW9oPwv03f40AVHa111O19B+4YzNu6MIWKpCcmpqKVTb352oGUvA 3oTnwVsaaL/lWxrWxBNQfxTLtG+k/UyuCaWvECD8Soz6NVFoJnu3Nz+RgIxT Zap+byn0x7TpTf3bBJizpiOOvKNQrI1RbUQqAfd2mk3bv6frcX/L5KtMAiZd qWr9FgpJz//KlMwjoN+9DhdrpdA+x1/sLQsIOGIpeesNzewSlYuJDwi40eqD h7RRqEtc6WnvvwQUpMgK5NoptPrAqlGVMgICblZw79HsWiot71NJwLAotk+z g0IZ0uLmxdUETF1gDqfRPOI5G/oNEfBKsk1ZrJNCzMofudvqCeDk/FngTLPf yrHOs80EfHFsy8qiudiXXFTbQkBeJWv9B5qpl5/0pTsJuJm0ju55Cm1RHPCy +R8Bo94WjA00nwzsTrrVT9ez71CLLs0VtS01A0MEuGqyA/VonlFunNgwSgDP N1eOSbNpKFI/ShDwunG2V4rmC81Vdo94BOTU53YP0X71ak9jv48RYGlhrFZI 85KIklLj7wSwipZ3etNs2Zb/+fw0nYfmJWJyNLM1suQaZwkoHKurLaXP23ku xWyFGAkNlef1LGhW7EkMtZckwY/SOPT+v3ppX829K03CCSsbj900p1+81Dm8 ggRFG9j3hK73cP+5RRpyJHzp+Ga0imbfv4O9SpVJsG8mvAvo+ysa8U+aViVB qyL97TB9v5Shd40pk4SPeuMXltEchjuqv9MiYUZ6m54JnY8KExs7WT0SbCud rMybKSRMZsU6G5DQ5BolZULn6YL5js+jO0k4W78nfRmdv7pUA7lfd5HwyVkh baSOQlITOmbBu+n14xtiiui8Xs9Wy521IuFxY+pOJTrfaXOSXooeJMhbb/Xz +a8/HBYSD3iT8HvoXEB/FYXUS6bf5PiREHXbdeDPSnr/brwNvwWTcD3Iz2iK 7r/yivZPFhdI8GHO3+56SCGBzFvZa3EkLF0mSv/6gEImvrW7uv4mYYpVEzdf RPeLQnmORxIJGldUjebofu8ISTsckUdC2KmG3PAMCmklys6eKiBBJfcO+3Aa hS49Trgd9oCENsL0VzN6fhiOhb078ZQEqx3fkgh6vmQG7tt6pJYEkfYD27qr FArwm1tiN0pC5Pzlta3hdB7iw/JsCBKcWlhJmqcopHqfY2LFo++jQWQfEUr7 f+kJZU2SUPrtSc9CIIWMvB4NmopzoHFjcl3BYQpJHvJ4rMXkwPvlARleeyjk cbZn72ZNDogf+JJuYEGhyjRLTEOLAxJaUv7zZrR/v6Gy+u8cuNV/Pi6Snt+d zqsurTHngELKx0wZXQpl2b1xlvTmwI3LtXeey1HImMVcGMrlQM7lS1dY9P9l 6713fzfd58D0rYPntrXzka4oTKG0mAPMtFxXlfd8uv/qNseVcqD188xoTy0f Ld/k66BVw4G7VxjdE6V8NCRVVBT+iQP7Hz3LGWHzUWzjbw6r1Lhguvfi5MM/ +egcs3dIwOTCGQ1GTc0ffBQeE+M/qskFJ91S+Q5jPgowbI8u1+VCQVuTbb8e HzkUhBQd/IMLg9H5BVkMPtJIKJsvdOeCvdNrF8EED721MC7alcGFGJ1cSjyN hyKbYnTP53Chw/pGZXcyD23eW//sVT4XXt04GZJ5nYcSrGxrdjziwtSXx68Y sTy028F3YOtrLtjmHKBnJg+9OZy04tdPXAiuv5zcbMBDlWe5IXIbebCBz2p6 0chF90tTjUdLeOCCpz5T7OeggNmDWh8e8wDOhDU1dHLQFov1jLYyHjQ92BoT +o6DXn7Im3tezYMXe/w/V1VzULeoBCW958H2GHbdkiwOWmTz2sKMz4Mn6YOr i7w4yJ03apejxYfM1CIvCZxEq3/RCfAo5sO8Oscj5yOBuhZJX1R+SYGP6Whb ogeGyqVPFnS8/Qo9jGv8zIzPSGe1bIB3wxh0DDbqbU4eQt/YU4oGvd+AKHY9 kjLZi365fFkvOGActh8LWrLWqQONHhgcMCfHof3G+ITbdC3ag3cLy4MmwGiT tfLZ8TQUGebrr/R1AuJTI3b9L7USbCrSLZXCJ8HtXgq5vqcFxuYCzklMTYLM xDHlhtReyO2LfRZ08jt4baofaGkfhhl/08NRs99hbuJJCWviC6jOJx0MPfMD Wv2apw6bcIBg/fNOWvInLAT27ogdo6BOswXW//MTPM56RW1tHocA6QJJ9aVT YM9xLj0+MQmVORtN65KmgGHzz7WXf/2Etp0mDfZy0zDncMjgVvA0CALSHQ6z p0GmlUl2JAiheX+2k4ySAIyV11vH18yCt7FJYeEtAWxbG60a+G4ejn1t/fnx jgAGs2R0jnTPQ0iu5275VAH8HSyrd+jjPJxfeunzuUwB5GeyV+0dm4eM/rcM +wIB2CW5ayrJL0BvlEviXKUAJKtWLo92WwDLF2FRdoMCqIXgskhyAeyCJJsT hgTQ0/LbmM34Argy7yi9HBGAguptqY3CBTh69XmZJiYAp5Srre+WiSDugNjY LCUA+S7rnGW6Ing9c927YEEAjc/8qu1PiaDhX7XSQTEhHN6mfE4pWgQt3qUi WQkhKIvrr+qPF8Hgu56Ms0uEYFdfW3wgRQSCNEbfflkhmI10Z9i+EIHI5pFG grwQLsivHlpaJwIpCThVrSiEqggmr/a9CBQDveU0lYVgtaTvqP6QCBhqPzwP MoSgJqncR+AiYHbH/5uoKgR+3yHZ9DERaF1eM9+gJoSfmuPyNtMi0N9ZvG9W XQjajzYMi0Qi+D+xtG5Z "]]}, Annotation[#, "Charting`Private`Tag$2381713#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHs01HkAxUceKbWNR3rIVpTaHkoPdvK4rVW2xGLrJL2YpRjrWatEySNq VUdZlddalEcdWluoyHeLab02NhbRFJP5ERGG8RuD7+qPe+6553z+uPcu5/s7 e87gcDh7p/XZuzxlG90+SGDkXVnjESMmuedW1Lr0SeB++2im10AnMf3jPN31 SQLHtYWTm1w7ibDzzWZzqQQltSuznQc7yF5tnte6MQm87AOtvG51ELFNYqq+ QoKuKtm3hnYdJCB4qOELKoFhQfLEMtUOMpVjr8pRZpBn5q2QXXxHLr/O4w2p MUhJNi9V5r4jizXU/MSzGXxd01pSm/aWmPqVN1dqMUg1KVJDtYhUpi/WKNZl YNxu5XrcU0Sc/w1GzuLpfN5aX19VRPy2bMi9ZMDAJPZgYrL9G5Iznh7isImB KFpju56ijZium8iHKYPrb4efWd9rI5WHXcQbtzGYM+Srr364jXT8xbXTtp7u s08wzla+JgtjI5a0OjFI+Gjj9SmrlWQ/EjlW72Ng2xI5x/NIK9nSy7vw5ACD vvpnNa8WtRJH++H+VHcGqkWbvvdIaCGXtH8k7oEMuKsCD22Nbybj6Tb8vngG dVZbNcPzmojVmOV1k0QGN7vusNaCJhLhYPb8VBKD0y7isaS1TUR98isDlUwG oXMrgz/ebyTzXeeJlzyY/m/bZaXM8ldko06bu8N/DLSPn31OBxuI50V/98JF 3TjuWnegYH0taQhIdjuV2Q2Z5bWtt3aWkzXxXMXJ7G6M7OB66KQ9JVH3YxKD 7n7mD7+YO1JGTAeCanz/7MZvUx63A7NKSZqP3RaP591w8a1c+2rmYyI4NjHT STzNtzRufih5QFQOHbm/xqAHsDO/k9GWRXi2BlOijB7Uf8g2W6CVieodvNzt qR9gGqi13viREHcKk3jie71YeNPFSBzciPmG6wRH8vqwq0I8GcNpxysl9chF ZR9R4ef3foZbJ4rUT2Q3VPej0nLYuJh2Yd18roAvHADdz7fNt+jBp6sync3N n3BhdY1sTUofDGNjN/gLBtET+VRUkz4AsWt7m3X3ILihszVelw7iO0mjvMhv CL2hrg1RpsM4HeTppds/hFU5l0RZF6VwKE7ZrRs8jNW6gpZbzAgGJgRhyrJh /JxY7J+vL0NGS8RDvxNSzAuLq63CGMa9LN1CFFLYNsbeTfFmoT957WDgmREY W8dI4/zlYGzjatRVRqF6rqW7JGQcFUZ1+DJuFGe8zeOGf1JAoJ6tsnyWDP0J S9JiMYGS31dYVlyTwfGKmYZUcxIvzS2EzppjKPLKfREunAQrSPnB7eoYbkxy 63I8p1DlmL5vri6LJqUUtQIlCj7PIifnVxbt9dKrDyIpvPv/GX1zg4W8ekZ0 fTRFQMZRG60kFj7aLyx6YyjCZ0V1hqWxuDaRKdeLo0h9Xa3nnM0iS74nMyCB ojlkf/xEyfSuPn7Z2yyK3U+CQpzaWRQLnc+/rKBw8lOpihGxEF/ynlUhpHAx uKFb9o6FUfhal+K/KY7/8viBURcL3vvRnUm1FNGunAHFRxbNo3E+jo0U5eNX +NlTLHw5OzqixBTCgqWF7Rw5Di9zrvPooqjjF1KushzC9NXhNgxFe01TauhM OYzPhvE4vRRssl6LI1eOQL2GGd5DFNQhf2WMlhwXFGartksp1JRxslRHjrRl Stq6oxQ6PnxNo0VyXOxX+aacpdBbOnL0oJ4cPnePRcWPUxg0XiiI15fjTPOp K+4TFGtiF0wKl8oRYbbnqMkUhYl5np1iuRw698ZYSin+B/VVzfE= "]]}, Annotation[#, "Charting`Private`Tag$2381762#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnk41dv3x8mQBmVKIbmIW65ChSgWQpdc19AgMpZyKZniKkPKkJToK0Ui JUNF3DIk2cYkw+WKQmQ6n89nn8OJTOeYzu/z+2M/+3k9+3n2Xmu917AVPS7a ea7i4+Nro9f/72Oec5pumAEVZzpm186MoPyI7S0OLAZopGtGa1wfRTrFV3kW Pxig41Kn/1poDDUOf9t7YJoBbmQr/6DzGDoqqeelPs+AR5ViuhtzxtCI6b0M +UUGhHllOd//Pob8gqc6NvAYcCF2jWavJAOt5P0hxCdAgM+X82mVJgx0q7dA b0qYAJlBxvXzFxhIdp2w78haAgTvHtV8n8JAOr7VPQ0SBBh4WvF79DNQQ5bs ujJpApSttuWGLDKQXWcw5MkSUGjhPVsnQyDffRr58UoE6N6PqG+0JdCSZ8K3 y6oEVD37ymv1IdDN+6TYeTUC5M0l/yyMJlDeQlao9R4C1r4r1nJ+TSAd9aVC 0CFg/pmBy/FmAjU4O4xo6hOwhY9fMHyQQEM1YkckTQgIHPDzuyVMoi1xUVu/ 2hJQnZrSOmtNotyKAZvmYwS4fglVeeFKon1MvZjKkwR8YBn2D10kkc0fPycy 3Al4GnjuGpFIonjJ08jdn4AEVlXfjyb6PjM0bXeJgOm87gzjbvq+YLkdpqEE DCSbT+qPkKiutytJNYqA+lyyTWuRRAtZph6sJAJuS3S5XN9JIcN5g7ta9wiY CPKVsdamUJS1bl1IGgGdDx1lW4woJLK8U0nwCQGGp4yOEccptMlx48jW1wTs H1q6MhJJIYcSEYnT5QQ0D674RsVTKENklUnBO/q9mWuiY3cppFQ+k63dQIAd 93fuQg6FNKX63K27CYjovkGkfaBQoE9XckovAbl8bjpR7RQqq2ut7Rsg4Lxm aIFuD4UM/JHiOYKAa6r2idIMClm25wxHztPvz4y2vOXDKFElU/zDIgEef4iI 7V+NUWfYfeP1fCSMYBR5WxQjh99uZj8QIUEi00mzVgYjzxsX3UtkSKgYOGbv rolR/nev5Hl5Ek668BUVaWM0ruNRa6BEgtnErs29+hgFMI4qflIjYa6l6k6T KUZXTfSHRw6Q8Krk1gm5ExjVp+0V32lEwmr9uFvuThgJT6kbXzQloVS2+nC8 K0a3sxSyF61ImExwPRB5DqP0JUF3KRcS9t55+VY8GKNB+5UkRw8SRIYKB/1C MVJ8MV/z+CwJDaaPhEvDaPtOMn/ZdZEEy1VNoxPXMGIVj9oEBpKQaVZ4dDQG o90iA1ffhpCgcXy9EbqBUWnZv0NmV0l4p1Uy8lsiRhzRZrFb0SRUpyWavE/C 6KBnndF/N0jQHjfw1fkfRnWSpY9dkknI9th2evg+bb9PUUfOPRJsTwU2SKZj ZFGXx8dKIyG9UFBJIwOjDr90t5AnJFye3sRWfIyRWpLYYlAuCc6dUub92Rhd fxV7L+A5CXEr7y5HPcVIhx3w6cI/JBQf/mB1LxejJFF8xqeMhFHdUhuBfIyY 6q48r0oS8rMurbgUYPTI58i+M3UkLDbVbRl6gdHczdp29w8k3K3+e1SoECOb 57p/uX4iQSzFXUq2CKPnzYUCzu0kqJ/U/Lr1FUaCWDnT8T9a7+5ixw3FGLmI pO936CHhb+n2D2yay38V6zrWR+vb9MC8ugQjscOxF+wHSbhl/odA+D8YeZ9d Wm07QoLLzZMqv73GqCEm4Ik1QUJ9q8fnjzTLP6MOWjFJcBc6onv8DUbBDS5f LNgkJOzRCeqiuWP0s//hnySkBt4pNiql4yNwZL3ZHAnKc6LimTRHK9XmmiyQ 0F/x9i2L5kFjXWOjFVqv7ZNtO8sw0nUv7DdYRcGWSC8/B5qTrioHHxCmIEt7 f30IzcysNDG9tRQYC38h42g2RRtf6Gyg4IeAMu8GzZmDMWb7JCjQuXxm5xWa OcuL37WkKXAqto11odlWPuCyhiwF325LaO+l+flBSmrXNgrEFE2Pcml7BE+5 vFJTouDUmiX+Eppdrny22KFKwefGFidHmsvTLcdU1CjIwfURs7S/YpU1Ecq7 KejXCYm7RrN3r46M4h4KRLOXk/lpbuC8fL1NhwKp/fNvA+j4bduibL1Vn4Lw pUTZHjrencc3Xt9sQkH39vWTgbQeasEx8pvMKViOlU4rovWKvrdYLmFJAXPn htF+Wt/9n8lxUTsKZq9Ev99A63932jlu3XEKbhcREVJ0frAkPiuucaTApYj/ kOhLOh62NccFPSiY/Cqg9ZXOL46fzhT/WQoUwrpvPKfzzy7pZQLvLwoqx/aD Xx5GQv8+qFnwp0BmHVLoyaH9Z29w4lyioK5W8lIwnc8VojGzs6EU+DS7R659 gtF5K3+1qSgKfkZ3CW3IwuiDD9nAjqEgxe358/BHGCkkOLuOx1PAlh47NvwQ o/+aLVLIZAr8gt6IxjzASO+w0spANq3X5k5po2SM9j39dKPpGQWP06o+O92h 65sXIFlSQEFX082s87cx3U/rd0SXUBDPLnx0IR6jdb962qvVUnBad/Uy+ypd v9dFByUbKTBsTht7E4ER3/dSr+WPFAQ/tjzhR/eTmVThiI4O2t8iW5mPIRgN COfnBw9RgH7ezVm6gNFXD5u9bmMU8Kalrvj50PZWc95bUBSUb7lt3edF+xds 0bV1koKAkzzFpNMYvSKYy3U8Cs54mOIYB4yiPuyy36iAgRBRG88xwihMqWeA o4Sh4wjjRoQBXS8REV4jqhhMW1NIa7q/euv8G166G4PQBcPNn/diZJ/rl+9k iEHg4vBFf1WMVGJfL+c5Y2h536vCvxajZjO9fKMMDA7srZsqPlHo76aI3ZGP MWirrVVQpOfJDouGN+9zMGiyzIuu1lIo1urPWv1CDI0ZtjHKFRQytffs21eN wSrbXp1Lz6Mat+T1O4cwPDl5t2Y8jELlV7Cf+HYmTPyj5LpXlUJnl3fP/7mD Ceb3khcifqGQdGRQeKI6E14w9uyrk6VQ0DVe/DptJshacrI0NlJoT/ymp0Lm TJjJc/41b55ERanG3dxzTCgznNLYSM/rZyVpeiMvmCCs935hip733otOal9f 0ed9qbdKTpJI02ybXPtrJpC7z8Z725Oo6uuTpbfvmODW/KznozmJungvUHIL E9gbpI11d5GI37razJjFBOnAbvPvHAI5M0dsH6uxYCWsatPlBAJtUlb3dilg gVzPmGFpJgMl3U04XlDIAs/ATt7vqQy0dhXLZKaEBb8ECe/ouc1AfMMFcjcr WZD78nz1tzAGGs/8ta20hQVjzN6Ah470f0pWWVOUzYIryoc9R6QYKEhCdu7d nnEo/qH6pjh6DP3HL3JNpmocDpW9ahO3G0WlIoG5Hc0TcHdgYMy7bAipbxLz 9mhkw//SsbIc/zf0I3FOam/PDwjXXDTSuNeNlOPiNC56T8L0u4eBNibtaMSx v8+EnIRDYrJKV7tr0O+MLm6p7xTs1+8vih2OQ38HeHpJT0yByZ/PfuxgV4J1 2UNL6eCfkBhpcqresh3YS95hAnM/ITLQoOU5fIHsL1FvfAOnIWSrYUOVx3dY 8DJwC12cBlAI3OWjNQbyy8lO/pdngE9lMScxiALicMInEcFZUPXT+vhu2wTU q7bCtoRZcMpn2rz+NgneIrmCimvmoDEytaBm1TSUP95uUJ88B4fvzKZ1HJ2F 9gMHG+3E5+GOmr9q/eV54Hg/tHdLnIfyfZmah+5w4aNN1jFRaQ7smmyskGpa BA+9g3l5KRzY6P3S9XjbMvw10Tb7LZUDI3HXyg71LINftqupRBoHlmKsVml+ X4bINdeHwx5x4JfY7ktCU8uQ0dssZ5fLAcNZ/4qnUivQE3oiaamcA+rMtjWF TitgWRkQatvPgd89bTonqBWw9RX8GDvAgQztWLeKqRVwUEqVrvrOgXCHnLao hRU4d/Pta9UxDhSx3xuKr+dBtCMfe3GcAzFVf3kpafCgeuG2R+4KB8Si1uiL XuJBY5FCST8fF0IobbvGcB60epTwxAS4IH6COBgWy4P+T58zrqzmQqzTcixx nwecdLkvNmJckE/R6HtZyQOedaFKrAQXnqrkBTjV80BYAILeSXGhHrhfRFp5 IOXjIa4qw4Uz6xyF3QZ4IKcw4+okx4UHwby2NQQPlLpiipLkufBl4KXrP2we qMVtXm5U4IJob2HlyXkeaB0oOLKoyIXOzdaDPB4P/g+gdQHj "]]}, Annotation[#, "Charting`Private`Tag$2381762#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVyXk41HkAx3E0G9V6IlFW1hqSx6q2TbUe9PGgi1aOtrXkSI6MjRzdqkdC l8KTFrmXcW1FkUS+coR50GAihmpFvyH3MX7D8Nv2j/fz+uOt7Rno4C0nIyNz 6Gv/67+6rqQ6mkLNEUNLh+8+ElPvGvP26xRsf00WKTl+IFcqK06tj6HgMljH pb70kRqV0gy3OAoTMcd1z7L6yHL/R/zsBAqaN+qS7u7vJQdqcmW+JFGo2ix9 OJ0tJLfVM3/alkYhROWo3J/KQsI/lexxNovC+DNnQcyNHmIQq7QQyqXwObHg W8GaHhLxOCohuIBCokbbfEBWN9k5Fsw7+YSCTa2+MJ//jqT62xh51VAw4p0M dXbqIuKbr1qPvaZw+EfLUHnZLmJXsMvPnUeh+3jhcH9hJ2EN6aQ5t1OQdTIk vvKdhOMjlbfvp6DwsrWovE1A6iKDs2w/U9Aq/WRWFC0gmjki04PDFFImLE6/ 3S0g/E+CoH1TFHr+WIz1Luogu449FJrJiaAoPhP9TXo7YR11e2zAFqHjQ56f OINP3C4KDujriRC5V69wpReflCVbD2w0EEF4y/V94SY+4XTvVNf+WQQ77tUN csfekLYjqyPWWYhgtWj8ZPpuC0mzrz7C8vz6ZwLPjajyiPE+9lJfpgi791z2 9UqrJUZ/86435IhwWC27wMmslmxhglWK80VwiMsKrOqtIeyyWv1rxSIYyK9P f7uhhqza5O1o8EqEmmgbHzqzmvQtz8s781EEmRcso09hFST89WbH1VpDeK4i 9onyLyJNe4zzzFOGoHvvkmdmXyxyipOM+wuH4bJDOeG9yWuo6hhy3PK/4LLq AZ3hlA60yypcVa8cQbxSY6eyQS9KFUK4/KZRhD4LnxEt74ehqhLHs34M2eGp L60jBzF+R7x2e+c4vBuLDjHaQ9CJjt4ayJlAedAPCvHOI+h3FvZYUBNQ03hT NOcxjv2DHZLSgEk03Duk7WcxiXPB3ifURifhvtI1juRNwfbZA2u1M1Mw2X7H ykZjBmNSTtgy8RTq4rmceK9ZZHaFlwSETONys4d+2V9izJ8w8zi/MI1Z18pf LDvmoLkY5xJ0YQaUY+6A7hCNz/tu8RRYsxBe2p6zijWPWr1mfH9rFqf1dS6Y yi+Ao8Blaa8QI7BF0cVVtICyDF2z2jgxOsxjusCTotXEtN5BeQ7/NI2zZW8v guY8cPS4M4eO5IbkYeMlNNql/6aoRmMyz8y6fGAJnsamubn3aChGVCSEhDDw G22Z7b1PQzo+ktJ8msGpTHerNUk0EhNnfXTPMbiyIuLfsFQako0CS34Yg5Tu Jg0HLo293YStHsWg8/zvsdIyGk/JicjARAbWL4LP2wtpjJa7Hd9aycA+gNUY 1UcjOKdxyKOKgRP7vlrlBxrPzYN2xFUz8L1Z/lRvgIZ7cNuGsToG15xlxhZG aNjsXbclqYVB1XyMJ3eJBiVvf7LkPYP6R1rFQhkJUjNj7Ns/Mmj2LGaUlklw m+0uHetnIOQJUi7KS3A4SZ2rSzGgkzW67JQkmCt3Oxg+zoCxfbgxao0EKftL fBMmGSxfhtCKtRK0ZjhY500zWOvvqaynLsF693pv3hwDDa0ZdxcNCaTvGtK6 JQzYHZGPYjUlWGEVmE4tMDCIXrdYryWB12C778wig20m+TYL2hKMqq+kGYbB f9Ocpsw= "]]}, Annotation[#, "Charting`Private`Tag$2381811#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXs4FP0bxhVJReUQSZJ1SFt5pV5nPeVNIkkURQklp2ippJQOjh0kKkmI CuWNUk4pvjlLSFIvSrG7Mzuzu21hseu0v/n9Mddcn2vmeub73M/93KPte9zF b7aUlNQ76vr/PXhRQ+m7BA74HCj/sNJjAFn51W3uSuRA8iHb8YzGAXTh7RvG 0iQOxNZKkgSHB1GdclmOVwoH1H3OtPrUDSLZ4OLOx3c4kHbBKUV+ARPZ1xVI 8e5xwKO5MjnJjomuq+carc/mwPWyz6ekzjFRJyPD+/RDDsxpeZKXUchE9JuL J0/mc0BPO37XvC4minkefye8kAPbXyTTHcaY6HvH1F+MYg703+nhsNVYyEQQ 3hrykgMfdQLngCkL3VQgjwSXc6DYTul9/h4W4q49JAmo4sBAmKeyB4OFsoJ3 bDxSR73vWz7p84iFxq7Wdvg0cSDRb0vprDcs5FxoGniolQOXLxfVxX9iIRlS J9ujiwNLpKpzH0yyUNDRqbm7mdTzkDY9mW1s1BAX/tAJ54BwkfwrlhsbaeYR Vo5cDsi1nLlk4M9GnazuMLthDqTkByvMiWcjuvQOedsxDkwk1Ls+u81GsbTa fJsJDpytadbuechGpj5F36xnE8CvPhb6pZqNbl7UibCUJeBNpmltSSsbcR/c W2w+nwCpb5cOGfzHRtk/4mw3KhGAZIu/jQrYSOaA13M6jYDzTr28s8sw5BXV bW+gT4AM4rvc0cVQRYYDW49OQKm3HNPPEENBvSbq2sYEFCWzL27YgqFPboti 1GwIoFWcXI8OY4geEae5ZBsBr42WRbUGYyj2zmSFkgMB5I5VRZknMGTWzeEr uBBwd7zSOPMyhrJ3v3OT8SUgSSnbzygbQyKGydCsowSA/+m/Mx9jyOXms2uS QAIU7bj83kIMzfmY/m4ijADNBq1TH8up8woWeopOEZB1I2b/lbcYqlSIGx09 Q4CcsZ6Teh2GjjmG0YcuEdDv6K+B2jDUFMxpEMQRoD9pW/71E4a0rh08xL9C fa+bjTd/xVDXe/vbnBQCekMz1lsMYMjcjjbTn0uAbr3a7/AhDG181JrYnEfV j7HYuW8UQ4aScOWSpwTwVj+grRBjiFZRbxBbQukdygzZKYWj5crHXoWUEZDx I3a0QhpHqsdVNrm/JiB4ynPpnLk4WrDKz5VeS8DvuXd17RVwJBuj8EO5kYDw Pa0zmxfjSOpnWcB0CwF7CT03TWUcCdNkozs7CchJHTaJW4qjftknTyIGCLhV n7dak4ajHl/nDd5sSt9HZaFbdXHUVSOqticI8LvHcHfVx1FThP3n5X8I8F6Q eGI1HUfvuoYOygqpeb7tch5ag6Mqwwzi9zgB7SOf9B6uw9FznDtdJyHgn9y6 YWSEo0KbW4nPpEmYWJYcs84YR4+zLZXT5pJgZMOzjtuAo+wJVtaFBSSEuyYE Nm/EUbrbdYPARSTU1Tk6Cv/GUerLja9clEkIkw6ly5vi6PrCfmsrNRL2Z53a tsgMR/FBcS16GiTUpu8ZnKb4UtM610VaJBxxYFj0mOPoHO1rv4hGgnHC8+Rs CxxFREcHMPVJqN+eoLnbEkeMPv2RD3QSFN7Lav2hOMjk4/kyQxLOL2e1R1nh 6EjqabkHxiQ83n3ZV0ixl0DrVqIJCdkasioe1jja59CiGW5BglDBbWkRxa75 jCeem0h4Err68S+KnWarb7C1IcH18WKexiYcbfeqrTbcRvW7NVrLjGKbqsDt Sx1IEDV9DLeh2EpV6fMsJxK8WXuXWFJsEl51kLebBNr9AyY0io06fInuvSSk jBrLiKj6dPqCEzX7SWhnGD97S7Fe/KvpgoMkqKxp8mBQvJLpmZjiQ8JAc5il MsXLNskoR/mR0KrcE5lH9aOS8SzrSCClT1Ct1SqKF47tMXAKIWHrT+0X6ZQe ci7TL03DSAharzUppvSbXZxnrX2KhPEYVdsdFI/7jbkIz5GAF2Qdr6H0H67N 7u+/SAK6sO7+ADUvvqZdQHMsCXKXaz1HTHA08OXu+YzrJOxoc6bzqHn3rd8s F3uTBHlG9/lOyg/dSURqyG0SLOpPDeVTfnlva/5kcyYJN9T+qV5F+SmyOdrw Qg4JC7c7lpYa4sjAvqG0+jF1HoF8oxHlv3jHXbUWRST8JXu4c2w1pV/Hbbsz JZT/pk+rbTHAEbarr72ijISxqzsVoyh/b3X169tYQ8K6/sTiGmofhN2F3ifq SJBdI0hvWYmjR25/8JImEh6wNRrqVlD9e0SNGH4kwSyafThxGbUP3inyqweo +spt+w8oUn5ifk31Z5PAarj0k7cQR1pHlqvnEyTECXfmHZPHUbR/gZ7OEAmh uwqP2lD7bBVavUlzNhcigsXftkxR+RlFMhR1uZBRkDZawMLQ0WnD8V0GXDit u855H5UvqhdOnr+xlgvMqsykye8YOnlZcmXB31yY/2mevAaVR8ZXljyas40L 0pERl941Y6g4bcsXsT8Xjueo3a94QuXf0gRPs2NcSJ6jrZdD5aVCRttgBIML 5lNmfedyqPzLcheMRHJhU69QQTmdyufHIXMFV7hwEDoSS+MxlFdyz5z5Lxew XbTIPh8q3yc96T3PuRCS46LtfRBDRrYrNDpecSHOOMzn+z4Mve15OPX6DRdG fA98rdyFoc+Sf1HKBy4UOtzum22NoVlONbZbeFxw/+G/AluCoYNc5u4cOg9u NHcsXFPLRrSNeTZphjxQv1h5Nv0NGxHn/TdcN+aBAHtUP13GRicV+SqRFjy4 Mitv4YtCNrpmNvrfLgceaPY3nSi9xUav4+d6SQJ5kBk4cf2fI2y0RGdtkNdT HjypbPn0XEL9z1OvuT0t4kHJ6sbr90UsNH82z0ZYwoMef/dP0UMsJDX4VONq FQ8eeXWprWWxED97VXvZBx5YLjY6S2tioYZlOkYKAh7kKtl6xl1loZNKy8be GPOB4Vx9wk2BhbpmyV1Wf8sHB+IHN3lqEAmK7nk5v+PDmLtcVs3IIJrnscYy oYEP+dIhJTh3EG1+6SQUtvFBVadDWad3EBX73jna2c+H+g0pW3aWDaJr9bQd CRKqvhZtU/CxQbQ1zlpl1OYXNFX6WPG/DKAyuRP5ne9/gWKejXnjup9o7ZLF Qb6NArjqmG6wVbEP/b4xprLh629o+LBjXg/3M9JJSPjreNAfKJlSK3u97wNi enzrs+H8gfXpjurZV96i7dhncVnoEKTd/eVpIBMJkeF+Aaq/hmCL05fnsVgN OJXfd1CNGIbEZGfTZ9KdIJgKOic9NgxldwOWDEn3QO5/l0pDT4xA07TpPSW5 AZgIsPY+MzkCDu8Y9n/OsUFzOsUz7KwQZNd6td8pJwC3u9YqJzMKUqkqRq7u v6Bevw1WXBuFkwF9pRXCPxAkly+jPW8MCiQLzs5TG4GKHF3r+pQx+NgrVW7n NwodllaNLorj8ONgCHxJGAdR0H1X7xvjYGb+TF37nhhanB/sVVAVwYthrD+1 fRJ8za0KCm6L4NyUckNN5zQE/mof/Z4mghwbh2PZvdPAyD20VemeCEZzleaf Z07DhXkxg+eyRPCVH6BjKpyGzN73Gi75IvAyul+ZrTYDX8+435yqEEF6Sm+L hdcMOFSFn9n9TQRJ29wO53JnYHeoTEt8vwiW2nx08RqZgX20NNW3P0Wgqh+9 ctnUDPhfff1Kny2C+aK7rjcUJBDrISWY5ItAezhSJtBIAjUTSb75MyJwK9f9 jZ+SQGOxVsk3KTFkDW8OTomWQJtviWSxtBgSK2WrLBIk8K21OzNqrhiMhorb rqRLQJSh8Z/zYjGsfeD+Uv2NBCRORXrxSmIIWJT3vKpeArLScPKNihiiE3+c 8WiTgEqwr6K+uhiiUs3C0/oloKElPOSpIYaJ79xsY1wCtM9xxTc1xZD06Nmd doEE6Alq041aYtCeadrrPy6B9ZZPd0xqi8FhecwPiUQC/wOsPHaO "]]}, Annotation[#, "Charting`Private`Tag$2381811#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVyXs8lXcAx3GF0WSv3E4zyy2ZnbysJEvUN6KsmmspnVw6hVIui4rcJuUw UifSSxESsaKZS+nix2To4pI7Sam1PYfDyfV5cDzb/vi83n989PhBLj6LZWRk HP/rf6OVjCMW9Ch0pNaky/j2kUj9rgFanwJnp2GRd3QvORUdfWTIkMLxYt/Q gLU9JLjPcOI5l0LiLYOb4bxu4m/eElVhQiHUYOh1XnEXOXz5tGK2KYXDFs6D KzldxHNUJzXBnMIuj8tSvwudxLUguJC3mQIvLUQgzOggDos119nZULjxVGDt xu0g9p61T0y2UXCXFJ4/X9NOrDiq7YscKLjGWSiPMq/Iqvgy6W0PCmnH+HHD l9uI7hAvQXiQwl6VoIH1aCNfbZZTi/ChENe+Y2uYuJV8Mb3byCGAwpb8mBo4 tpIZn2mXyUgK70PUePX2zaTJzqJwSyaFwjNPB6Pkn5GwhmiTmBwKvvJl2zrD m4jRD0/Ln9yiYFY5rtk71kjidznWbiymELTvo0362wZi6+rTZ1ZN4cBv3hMK 7fWkxlu49Nu3FF5IoqotJbXkfgQVrGIgQtaTgAiTnAriKzWZcTQSocUte1NW QznhxIRGpRj/9w84JJtKykjoWTZRab0Iy81WSypsfyemiRp58ttEaOTq8N5P FpOSdOtOxk+EuivCvtlvckl+aYbF0B0Rgu8+TzIbT4b/HI/bc0+E4oQ3gwJL IdbYaWs1l4nQY/nu3B9zqXjcc3O+6pEIu8sLD1SfzEA7e4cIn4vwfXudxMno JhY5VNtZD4vwMDmvcGnHXXiIhpxzuMPw3Souy699AI2Vxv6eRcOI/ZLoVpn8 iVeLFM9qPh7Be/XjqUadHahQDClobRKjeX9rhmraAIw1lvnz60fhOvqPl961 IYylTKuv6xpD24jaJbXYj1gpEHwX5C/B19F+dalTFIb29/fZ/C2B4+KsO05r xLD/q52pCPyE7XKMR91WCcJO+BzhiD/B8FeBtWrNJzhUXt/BOTUOlTPuKQ/s JzA67x8pOz2Oq9HuYrf8SeR2x5YHhkzAfKNB9wnRFGaPbPIOn5vAVNvmnosb ZrBCKuT9dGYSu7UVBMpeND5uT3qmKDeF09zeyR+TGNQZvoB20hRuJAQcmr8x C3/FAjm9JdMY4LTJal6cw/0cg011wmlkca8+GPx5Hs2WVvUuKjOYnbXJNXWW gva/7uqdMgOSlxJrqryARqfsPcocGvRIf4NuwwL4Fla3b6fRiFD7oPTmEIuj 4pdTr9Np2GlIok76sgjO9bJVzaBxy6+nVOkoi5glce8is2gEp13xMgtkkdnb pOVSQKNFurrzVBiLrvC9l+bv05C3O2hVk8xix8MT4c79NLZssM30KWfhHCjX GD9AQzZm+GRnJYt9+umcx4M0LHlu6rZVLPx+qSoz/EDDt6g3e0U1i3P7ZUbn RmgkhjtO1jawqJ69wC9YoPEy7vOilj4W9SU6pf0yDDxf3+tbPcDiBb+UXSbL wDG95FX8IIv+Zx2ZEQoMzjXrciw+sKCvaXU7LWMw0lYlThGzYB2KV8WrMriu prTn3RiLz2QR+kidgaJ7YpzpOAv1Y3wVQ00G/Jgw87ZpFlo6k148LQZnD+k8 0mZY6LefL7m0gkGns5fCsTkWXMFyab0OAz2Bq1allMVay6Kdc3oMhvcun2FZ Fv8CstmeLQ== "]]}, Annotation[#, "Charting`Private`Tag$2381860#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk4lVsbxpGv0EmGzMkhUkLaRCo9kSmVQjQ4mY6pHRlyioyllOEQdYhU SigdJKlTZHGQIaSQMu73JfW+ezBu9jbt835/rGtdvz/Wcz3rvu/1LHWvIEcf ESEhoTJq/X+PWa0buaxOwJDhi8jO+30oSuPLIE+DgO2GT8a/RvajCzEx/vgm Aj7/YRpMvz+Agvs2TX/QIUB5y18RswcGEd34Y3SlPgGLU4+93NoHkXfGRbEH NAL+mtIIpe8aQm4ctVs3jAmwobs6/31nCJ2wa1YN3UUAM+yMuBFrCDkVBj9x 3UuA//vmR1Emw8heRMnQyoIA/X6fuq1Rw8jWre6dvjUBF+R3H6RXDSOLt2ds Fe0IaFKOrJCZHUZ75GW6hO0JONaQ8chHnoGMQ9+eZjoQ0HyPFF9twEAGHV4/ u50JEApXv61ny0BaCRVLRacJIPzMbVPCGOhX3PVGuicB64lPE2KJDKS8V1Q2 0oeAnrSRWwm5DCQ5e2yzfSABRf/Qr/XWMpCY49ILkxACSjV9Y9o/MZBIaYGZ +h8EOJjTKiRwBprzmXWciSJA10n1drIQhqbq7g8OxhFwKUlwelQSQyxVG/+m qwRIZrkJStdjiNGTFZ2TQoCTe7HLG2MMtViZPtmXS0CrV3DlSR8MhTfF6Mfm EfDcKv0tFoyhzQcaXr57TEByo9bWhUgMJRw6UrerhIDyWvn9szcxZNxx2yai nACxtoYpRg6Gvh/pa39dSYBK/iVa0GMMWTr59BnVEBAwmiN77RWGZrqLPc7/ S0CFHC1IFmEo32VirPw91V9rf59jE4ZETkVO638kYE/sI9mJLxiq9Uj/ZQuD AD1bCUdiCkPB+JcMv1ECAs2VB6z5GFLzXq9U+JOApwkrhP0FGIrxK9LaOEnA fuNJ1UUJHOkTrGeeXALOrrd3C5XC0SCdRsvjE3DxkHf7Czkc7Tn3bq+qCAmZ n2o5WWo4Yo2LNLquJIEz/cwBNHF0N8T2YI4ECaLYJ+tXm3E0H9Z1XEGWhHfS ofkK23H0dFZxyFmBBG3/RhvRHTg6Ee7mfVuFhB2mufyGnTh6HUkES2tS56fY Me8BR75L+nNHNpOQ1a22Q3w/juRjw6JTdUn4c1Ug2miNo7ArgsTVO0gY4u54 PnIQR5qiVlJ2piS0zK95kWSPo65rSZk3zEhwz7mDfnHAES1RLv9/1iT0RkmO PHbGES7husXSjoR4rrBr9XEcpafklV2xJ6Ge65lffhJH+yTHdtQ5kuDiK+F2 zRVHE2lbqwUuJGSkHtbeeRpHedIhFntdSWgrNMlsdcPRkVuvmqPcSTBz6thj 5oGj5XWL9lW/k2DhdOjJTU8clWaa9/D9qHrPTno2euHITfG6684Aql7SPlb/ 7zhak9OGXQgmIUBLraXbG0fVKjL+lWEkdFXLhz33wVHAveOc6XASUkXCfYJ8 cbRe7V4YLZqECTG2tIwfjj7k4fPBl0l48yOPvEPxJY3Nl8uukaBi5nNa1B9H Oo8DV3ESSXAt7ek+RnGfVsWfuqkkpCRG/JNEcWIRT/ZsBgn+hSMBhRTv3LI3 52kmCRvyO52eUPyzOP7XnzmUvpn7225SnKXbUrjpAeWn40OaB8XWpZJ6Pvkk LFi2MuQpnt12rCK/iARxVUP9SqqfgvJsU/wZCYa0xaDdFNMXXHW+lpHwfd47 4CV1HwOrDSodFSTc/y4sokTxbCpjdcNryi/2WPAZ6v7VXx8tvqkiQRHPmyug 9Lmi4cMuQyR8vGLR1UHpZxugPVRQT+VDOgRGKX27BM9Q+gcSYnX1y3soP+4c OPf8+kcSuDGHtV+4U/rfMngY3UXljW2wNoryj9xUeeVMPwm2cS2rvlF+Pw++ eN59mATjAtfYgFM4uvDW1Nt5hISkXTHGnBM4EravsTJnkrDfdLvWOypP77Pi jE3GSWgdl6qSOIajFMxCW2+ahK+O2w7bOOJI8Y8mMaUFEqyCdRRTqXxuy+38 MCHBhL6MHVwXKs8z3zOqxySZsDaUpaZuiaO325xLBmSYICM4f7vfnNK3/ltq szITFA6lTKmb4eg0iTvk6TDhlpBJHI+GIw2jAotMfSb8Wqy9aGtA+RXtZ5hC Y8Kz+q3DSXrUe5FmrQvfxYSykuHfRrRxlLyT23vEjgm7An8WkSo4epOwyk1w hgnJcdPWAcI4iulssecGMuFcd6EbtkTNJ+UUYIYwIX9lXPGBeQx1lkip90ZQ /e3sNZ+h5s2PbqXR0kQmKA7WrH05giG5jbp0t6dM2B4ovjz5L4ZuZiS7PC1h QoDe6kDbGgxJiDAtZsqZ0NPhdzH9DYaEsKcqSW+ZcFd6vHahjJrH97XbKz8w gRbo0WiYi6EG5Y0GazhMeBEU7G4ViqEwGeXZKhoLeM2nlKLlMDR+OQJfacIC x5fxGUfXYog++bXDYTcLtFkLmkriGPLozCr6sZ8Fiae/dScuMtChVLmTss4s OIy5SzKp/2GjhHQ1/SILMrp80ZsSBvosLHZFqZoFG2RsDcZ2MxCnJNvtaC0L Cr7AYI4RA4mf2rr7egMLnoizH1jrMdC+F/YzM20seBxfnha/gYFKvf7y7Rxk wQU9BaPbQgyUXK9x8LqABVvPLOjREoaR5TWzdVwLNsRf9bqMxQ+hSrHzhZ0t bJC1OaC52WEAjUVdZte0s+FO6zOhERhAipNpRiWf2FCzPqQ+XX8ARX37+9/E b2xYE/JI48PqAWRZPDZkQbBhDxbmUNrYjz4fPKVQKcYBmWLN5L0m/Wgi1fxG tg0HbsmbGjZI9yFdOSm6VyMHLvesKtMu7EXjqbPrDL+MQ+7RBtnFoU9o4/Xr 24LoE2APvld5HU0IP9XfZ/FjAkzuapGKv71Ctt+7+JXnJuFHqYtcRuhdCA/1 8ZdnT0JT+EaM014H9q/u2slfmAL20aniAIlPwFmkR62YnQLlOx/cVzK/wsPe yy/PnZ+GhxM9Xp8DGTDvb+YRsTANZfE828M9o6C6lO4acmkGvucESBWvIGDM JrlVTJQL+qZ6Gvuy2VC/qQ02JHOhbnWmcqHUJNDFCkXVxWfhrqXM6zv60/A6 T9OsPn0W3seltXiGc6Fj955GR+k5sPk4gy9kzgGPftfJI3UONqxQ10l7zIfm ow+c18jzQMfdzUehZwG8TPcUFd3mwbtM8+zn3Utwht3OHcjkgbqUET1ucAmC H7pbymTzwKYxYvuRsSWIFY/Hou7xgKwTziPmliD3W4uKYyEPjJjrf0qrLMOX iOM3F1/zICwtLXqb5zLYvQ2NcOjnQeLO0KRs1jI4nBNtThjkAe3+55fW3GU4 oZEpXz3MA8XspndTS8vgl/SmYtMoD0Y9ov1t1grg6ikhzgKLB3hV7C8j2wVQ M/+nV+EyD2rAj8QvCKCxVK28X4gPfq/HCqJjBdDmVS6QWsEHl2gzI4UbAuhv 7c6NXMWH+far762zBcDLUek9KsWHuEyJkqwqAQjsS7QSZPgAk13k5gYBrFwB YVXr+HC27D73nzYBrDvrJb1JiQ8H1Y4E9QwKQEVtxt1VhQ9/B9cOeI4JQKPr WulNVT4MeNutY3MEoHNdYalRjQ/DKw3lLs4JYPvupwcX1PngG1E7JBAI4D/3 DeSY "]]}, Annotation[#, "Charting`Private`Tag$2381860#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVx3881HcAx3HFY+RROj9LV2dUbD1UIm6k3o88UsYjk1YNdXTL5FbHItHq sVK5jbqSZvmR1MK08qNCSn1nh3AVdT14hJ3dpV/fL0e48/369Vn74/V4Pl6O 4rjQ6JlGRkabPva/uW4j1qF1NAr2hwwr41RUqlP0QDlF465GcNvvxTMqYJ+L ukhBQ3E2wlfGtFMW1e+f5j2iMb1uocduYTulIn9SmUoay3nx/CSfNuril9IK WRsNSpt+vNn5KSXKcrtyVEVD2psTPnvZE4p2rkqN7aYRGq8MaopSUhXxhxIi e2mUzJ2h5clbqaR73nu2vaJRnmzqX9TQQs0Ifui/nqHxXna542hAM9X02zEv 4SANxvOge1fWI+q0xs9l+QiNZO3wrfS+Jmr+wUdm9hM0qg8FWddnNVIr89uV Q+YM3NUL2SKBgtpFa7cULmPAL1k9r0/8gHJaXeSXvYLBa/m6iBVhddS7ozEe p90ZbNjVsu9W6H0q0bLfJtmHgeaC3KI1uJbK+ELf+VUggxMFewdkMVVUbZqp iMQymPrF/NsNs25QtotdJaJSBrw3/meoMBF17nzG9tKbDNQ/10gUsWEwn8n4 jVYyqLJWVb72SoSRppSffo9B9nTuWECXDP0FLk+qlAysXYWq6YQcNCxY7DZH xyCrq2Lbop5SJFotMNx378ep7NnFgthaPJ9hlmpf14/DkraKXO9mVJklFLe3 DCBtaiBivk8HXG15EnGjDq6DFZeFlBqDcoONR8cgqq9uDJMUv8JimWxlnGQI edqr39nueQtteHeX39shdGaWWXzdQyPgtYqrkn7Adc9r65dKdUg+EL3XbuAD dmk3C/qUQwiuzgu0SxpGSIp8smHfMHSTkiPGhmFcP1k6GqgewZXO43ekCSNo dRHQ+V56jO9dG5UyMQJNua9zzEUDFk1lRvxweBRlk6n+ovYxvNmU0Wpmogcv ZWePwoKDwvkxBBl6WA7mbMrzGIfErNjEcZYBes7TAI8J1BQuWavI/PjC37MO eE7i6RrfxlDLMWwe8h5usZkCK8nbGiUfQ32G78mA3ik0h1zeNseOhfF8lfqv P6Yh9vYtKbnAoiB6MObfrQSxA0/0PdksdogOvavZThB/JXKDVQ6LO4W1n8vD CH6adUJz5BILe9dOnVckQf7LFn5oMYuN3uK0FAlBR8qOc5M1LK55i2YqjhEE 3juQsqWbxaefXRqMuUGwRWrSnPYPi+rzSXXzygm+ccq2q+tlMSf81OamSoKY 9Nrbzn0s2oR36xxqCE6GG+km+lk01Nx4rqgneDh+Rlw8zSJu7jtDewdBY5lD ZbcRB3+hse3+lwSPxZWEZ8xhybQ7Z9pD0N36Iv9HUw4eu4NsfDQEbC6/M4TH QRpVf/EsQ0CCby5Ns+LwoF5LO+oIPjFG4n0bDpOWlia3hwhsvhdbOttzeL/H 6vQzPQHfYTQygs9h569LJkQsgZPqVNm5RRzCeH+vYsYJlsnmTTU6cFCXmLsl TRGsWlMaNOHIodBfYCCE4D8SEl+Y "]]}, Annotation[#, "Charting`Private`Tag$2381909#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlHk4lIsXxycUuiWSIheR5bb8UFoUdS5S2mS5KspyJ7IVsiTXklSWslRK kUoLUpZS6iY5ruWSZRJTzLyvRCHzvoOsM7b5zf3jPOf5/HPO93yfc44m09/O Q4LBYDwSx385w3BE0a6MB899uhsDO1sxRsuDX4Q8uGx+vqrR/hNandD7kl3F A41hpZvecp9R7lU/63YtDwQSz4J8r3/GVtFTvNrAA5Xqwu+ejDa8tdvvWdwH HoTeMQxddLQNXVIN70e28uBkSneDcX4bancMXw1q44H/I+mgv0fakKdbEuNN 8GBfbuqHPze047OA0CDXTh70toybh/q34+nSLe4O33jQ3XHarju7HedYl1ua UTxYMa253Eaag//ejN60eVCsv/ZX3GnEwcQuc73/jfCg/sBaIukoB5VDamVU pnjQtLpinuZjDn4pTxDKiXjQsEangqjn4COZfTwpSQreGHVW1FEcNMhsbhia T0HDbLdM/W9cHO25VtYrR8FczU4jVUsulho4FJCLKUjutPqp4sbFnVWc5Lrl FHgrD707fY2LCxZmni1Xp0DbrCh4Mo+LLQddAl5qUbBCaaowtIKLzrxu26zV FEwEyzBv8riotSHbPE2fArlbX+bbz3LxR6SnUeJ6CnDV3Z6tCgQGK9BLzmyl oPLe4eJXGwjceqRwrt92CjwzVp85akkgIztg/Jg5BY2SbmZ2DgReNh5rO7CH Aqcfk8/3BBFoE/O6ztKaglWP1S84nSNwaWPYGxM7CtSyLWrZyQQ+cJ3N0HOi wGr9Zj/1xwR65VVcVnOhwDmd1TnxgkD9kZgIRSYFtt7V9AEk8E2stIvIm4JC 1pnmRDaBUc3vrcdOUlBtWZwQ9oXAHcsTgTpFwX2JmvzRPgKbC+Q128Io8Mo9 +PKhkMC0iRaFpkgKht/yeR1zSDxqdkOi6hwFSiP8jS9kSexjq3wvTKCAzOmX 2KpMYr46yX6UJJ43eF7hkDqJgV53azKuUqA1vrl6nw6JxsVur67cEPtjwEux WUPi7JRWbmw6Baf1TM1mDUmstuy5GXGHAuN5DwYPbSLxUkpufOB9Ciocj992 NSFRaeVaH5c8Co6k3o2O3kHilWuXD+YVUOC4a0p72IrE+RKU+ehzCnalLVNc sJ/Ei6f2GMArCrqzlBybbUhkdOWpXiqlwMK8d+D3P0gMt5GV+VROQWzBjdeu h0gcR69RjSqx3y5nY/SdSDxlUPfVp5aCOSm+C4qOkkjf1WsqaaAgZ/0txjcX Ej3l4t4wminYuq5I2OBGYndkb/ZeNgVGF5/G+DJJdOZbXktrp2Asu3BZ1TES 249mR3WRFHgk1uqy3Um0b5TyXdtFQX9EvnyWB4ksE/dDoT0UZOV4rfrtOIm7 n1ZZVPZTUJM0+/dJMVcvX2m4cIAChRWM6VNihksxvx4epiAR1LQ3iblU2CXz cJwCCM87/FZcb6O32Rh/kgLpeyqvJcT8rD2ry1hEweKSMPuF4v5rrBis85I0 /CpFGpNivTmvXUtZ0jRIJf3jHfAniZp6mKOygIbR8Iiv9a4kZqapp7rL0xA9 mZhCO5O4bF7U2aIlNLyvEfz5+QiJ10I6fCeVaXj47Y5JgiOJC3tMD1uq0WDY EC2cK/Y3/o/MHVc0aVhrvTRwv9h/yeopQ0KHhneXEkLcbEmMMjqipruaBl29 2SawJjF48fLxt+tpOKlYn3B8F4mD58K6522mIVXHy6PIgkSfn+0sWxMaeGsl 42qBRLfmm7l9FjTYjq928NpMIgETqeutaHj1MMlueD2JB4sORkfuoyFpaHiz tT6J+5KVHBUdaMgREWujtEmsnQm2dHGkoeisp6+9BonmJ9nr8pzFLH9gaFpF vL/7UufDcRqcV2yX+CBH4sr5CmU+oTTAd/5U5DiBd8MCHpeE0/CgmG0qNUSg cv+H64xoGsqWOHGY/QTK1SWfTIunwfGY3cQTgsDJiws0KtNpkIt8ORpYTmDL HJkYlTIaJMPp1yaRBA4UpLvYVNBQu+jQjQfBBMo6rTGJq6Yh7qMP9PsS+Hux 9ehoo3heqFu/zInAQuaN480dNLjVbGDPiP/P5SqtvXEiGrZJbosy6uFijv9L vXJJPpga+U//zeVipepOqTFpPtCp8le1mrk4GeT9jinPh8bo430PSrnopf3M YLsmH/bfdz/tkszFHRe3LRkz58Pu+KCMQUMuuq37MLRmFx/CitNmP2hzMbzD rYm5lw+bSMM3N5W5WLzxQmyzPR9u/+Xc2yHi4IreesFTdz7YFhtTu5s4OL3z cAczlg8XfkT9qD7GwRKZoJzm93xIufTPxn3R7dgbcY5f3sSHBylV6zwC21H5 Z8qGgo98cHyy8uUJ93aM4ORXJnD4wOqverLLqh13POn9Yt7PB9lVsj8MFrVj y16nZSUyA7B/kb5iR3obDiWbxafvGgCHE/lvtzz8jGuV5H2YNQOQYaOfxU1g o2LR2/zs9wNwqVV0r/A0GyetPAd/NA1AS/5146BjbKyLKA/2/zwAuYRGCMuU je7fT5yN6BuAyqwYgjXQindevL+eJjsIHdZcnpRNK8rZncf6/YNwJuSTZL50 Cw4mjy8x+jwIlvZOGX/dYeHKuDgDf58h8H6mr64ZXIXdTgTXvG8IuEzJuqiS ArTqaRWW+P2EE9EP9164/QTOBHp4LeX/hKzMiEheZjVYv7q9Z+npYdBKT2T5 m7XAwLRPhOT4MByP8GUun+LA/bZzL/2CRuBho7Gfas9XmPTa5hY2NQKnXjq8 izLtAbWZq0dO/TUKUjYMc2/nfujddbleRmrsv9PTYfXwoUq3EdQvj0GPe2qw 5Lqf4COTI6UpOw4V843KOLtH4HWW9raqq+OwZ+6hi4HJY8AyMa2xU5gAW0vz 86GPJ0Dgc9veLXkCQuKKeGXPhVBnc89h4VIB7CB+kfmnYwqYW0xzc68LoHW7 3ycTzgx485vGyDQBDK/p9RB2zUDAfdcdi9MF0Gh0l1/Cm4Gzsue7Iu4IIA0q O9dMz0Am572qXY4ADnyL3/KLxix8Djt0Zfq1AAbVPyjfdJ+FPaWBYbaEAPr6 uMZfBmbB1k+qLrZDAGE6MlvCJmbhsFba0rJOARTJbldWZIjA89KbF7rfBcBi VwZYKIjgghNjYIoWQB5fPyTNSATlk0nMnFkBbFL9uHLuGRHUFGo8JxhCeB6f WZoULYJG5nORvKQQDF1DtZUSREDUszPDpYWgtsrNb0WGCAQZqm028kLoPKfz 729lIhBZF+jELhbC/e/XvuZWi2CeJAS/XSKEj22qdTpNIljiy1TQVRGChUX8 lNoXEahqjLoeURXCla+Dlrd6RaDVerHwipoQPA+HOykMimB13LKZGg0hpAhO GCdMiGCdSd7eKU0hxOhKd4pEIvg/78WT3w== "]]}, Annotation[#, "Charting`Private`Tag$2381909#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkX041AcAx6W2lORdmeyi0optkbU12RdnSdcksiSh67p0jRoaopWGo5dL b3pUkk3eQpNh7Y5f87K8NbqMSa4Sh57fz1t3/H6cfrM/vs/3eT7f5/n887Xi H/E5oK2lpcWbzf9t36zpUwSQCIwx+Gjh8keEW1i7fcFeEvmcNzmrM+qIqufr P1TtI+H/eUeIXWEN8cW2ywshJBGiuTSwecOfRJl0fCJVROJah2mqSE0Qn9j6 vG4PJ5FZorfyVU0VkX+9tJUTSWJbhLRcTkiJFQsNZaJoEhEDzXvtXj4gbsUe zS+PI9FltYZxXfY7sXSo9YrWKRLGcpV2Z3gFsbhBEpaeQkLnyqD+Ac8yYipp Eacmg4TdUNBEzrq7xDH1YV29WyTCHHzhlJJPjAqaJ3f9TMJv8k4if+QOoeSe aaMKSfQ6ZBWuGrhNyOfonDaXkRDYfGUYffo8MVycEeT9cNb3KBAB4kRiQYCt k7iOhKhfFDWzO5pwue+lUrWQmHY2PSMoE6KEf1XY1kOifuN2/ZkLl3G21pon ZkmUPTL3tz5VAPckZxO1GwXLa0WdlJ4UIfato7YeFORVoi2ZSiniekIe83kU hP7axkurZbj/WWJymy+Fb9ft0pUcqsZyZRN9V0BhQ4JLQFbXQ2g2+/fwkynY fGCbely3DuU6kbltjRSUOfJQmtMEZXwCVf2YwgtXk97B6CYsHbvgWPxkdt/O NbzU2oT4rqKa1C4KB395WWD0YzPcC5UKtyEKigKF9mBnC+S8gCXlOsPoW+Zq W3iyFaMS15QMj2Fs/WPNVoGPHHamBiJ+/TAu189nbB06MSKZMFnfMYIszw1e d4+8xAqx+NMjolG4c1euVlzoQ29A9zO3gVHoFpVX3fAbxJb+p0x5+BhSXn+5 T/4xiZiIA6Fm1BiyX3sHe6WNwKvixlazH8bRL9PnCRPHMKwRxc+dGId5lule fb23yO5M+C088i1Ci8f4PsdVmAp1DomdfgvJ10MVvDE1LGcu7vl+lkvKsp/1 Ok1C6XG2SWeeGr5Gyyuiz9OotWnBh2fViDCWKnbWMRDp5M6zWjCBJQ1zzBzb p1B5e6Vz7cUJxJSa8U8MTONvp031PoaTaKw8cSy0QwNadMM3RDKJ/S6L+5X3 ZtDgneWnZ0YjkPor4bvUd+Bv3JSXd4XGCY0Ddz+XxSHqsfp5Oo2RUXF7/GYW R7OD3Y0yaCT3u6y66sni5IKfXsVn0kiigt6r2c7iZlejhU8ujduKttpFgSw6 YnelaSppnEvQ+Amj2NkfImJ3dNNY7+ZXuTaHxY7weQ3JPTS4oY1Ry/JY+Fun m8le0Fhj26xeVMji4JkHZTZ9NH6N0Oa+ucciMUBreJqk8U2w4eJ0KYvqqfP8 3Hc0jGOSku7LWdSXcEq7tRgI8zzPpf3DooVfyhrMZdAd9MQ/7F8W3U3tN+Pm M6C0ZNwVChb0dYtObwMGjsGTglNDLFiv4lXJRgwq49oyd5Is3p+LKKkJA7I0 LXP1CAuTw3xDG3MG/SO7xxtVLCw4quA9FgxkqiKPjEkW1k+TStIsGcToxQkO TrFYK14yU89hkBU5tMVxhoW9UwFv2opBeIylmmVZ/Aekpnya "]]}, Annotation[#, "Charting`Private`Tag$2381958#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkntUjfkXxo/KdKF0c5RuFBVqaOSSRpuiEEqG7uL8ukdRkqZm3FIR0WgO lRKhohiSUNrEKc50Oed9Q6TQdJms9/uWrufocub8/thrr2etvZ69n8/ac3lR HkEKHA7nnLz+323+Hu9s92FghUVFyyjvFTrua7Yp9mdA+be02pbrQnz6canx 0B4GnmbuH89fUI8rN19Qg2AG7IMWrtqwtAHLKgdGToUzIHNYEH9eqRF/XOTx T3MkA+YBnOtHyxqxKPtek0kMA3EmD22LNjWhmZpWVXgcAzfveeRripowL35/ UXkCA/378yfrzESo19uUyTnKQE5c6MYObxFe8Fp8zDWJgdQ9geob0kSo8Sp9 Hz+VgTcBVh6lj0R4agXr/eUMA+Un97Vd7hChUuEWZ6sMBibOrfJOUhXj95PT TWqyGDi+UXP2WTcxxg5HTFPPY6B+vWX40igx9gf+Pep5jYGplL15xxkxdjud FpFbDHjXhVRwXohxT1lv1cq7DOypOHX4YasYP5puLD5RxsD4Uad4hUExUlNU jutXMeDg1MKvNqKQLc3a5f6MAb2oiquyJRSq+iyyT3nJgL66Q8wyJwrX3N86 NFTPwJns8KwngRT67fosWiRmYNDwxNx5BymMU4su5b2R87e2s644TuEd3p/B ojYGFkZ1FRzPpVCoYeGk3MHAmCYd1VBMYdeTRyYO3QxI1iffCS6nkBOyafzg VwZ8O6/37HhGoaHOx5bbLANmT0tnXRNSuBL3lXcMMNBd9uDptmYKf4mQZeiP MsBftrcnvI3CtBemrikyBtwjZiv1EwpvRj2wqFYkYO/VbBs8TGGNgbPSsDKB qm1hB33GKWyve/d50XQCxZ2zTcUKNH6PCXvK0yTg2Pfat1GFRu6csawsXQKB YSsVd2rQaFN/5pBIj0DX15qaCB0aNx823q5sRMAi+pqWjh6NofP+Wuwwl4Bn zssVboY0JonWTo+dT2Ak2Xmb2RwaryTS/95eQMBHLXfbH2Y0PrEMEnRYE9jv H/PDFXMa3zaPXNX/iYCx64bZmxfQOHA09Xf35QSqO0Xcy4toVLee7ZuyikBh q3lIhjWNlu9vr6h2IND6T533j4tpXHdyte6wI4Gn7eGmsUto3G3T1L/IhUDE xJ3WEBsaE9p2N/BcCcw8X5Sq8hON/FMDxVluBITCrVxvub6/LClZtJ3AxYgG P1+5bvwy83/KXgSkrVVztOS692whOPgROGPipJso91NaZWcYu5uAX4FJS658 35xuoeR2oNxfWDAeJ7/n5z/83nSEEuj5lKUw/UcaPR3Ye/r7CKwfMfDztaIx +uuRdPcDBM4r+O0LWUhjOl8rIiWWgH/srrM2ljTecixwqY4n8Cyk6IfK+TQK WNt5w78R2OvTMWuqnN+4s1cbL5nAEylH8EnOW2+w93HWaQJzOdpF0fo0Lr2S wBelE0jIibwvnElj+Giem8NFAh4kmteoTmNywRKr2BwCnF6bqYmqNF51q1Ep uULg8idb4YASjS2FXc/1iwhMyQvYBWMUDm2Py3MvIcCPtyPcEQpncFQTUv4i kDngY1zZT6Gzl5Xt8CMCk4Yb8vZ2UViuEnNT9JrAr6mlm07VU9ideIxUN8j/ aUup0K2WQr1v52xLxQQKjqQVs0hh4vuSmlPvCZQFWl+quE/hulvd7Y698nzJ PZpJfAopV59Z5Sos/H1I/epeTwqVnoXuKpjOgsev3FXftlK43DbuRoYmCyba 2ct3OFOYbZi5NFKPhaH2jXVVthTuIQ1uFpYsrH880KKjSWF/+trULBcW1uS/ u2T5XIymiu5NKa4suCTppQgfivGXuF3cQ24s5Bg41LmXiPFRQMJ1D08WZr04 vn7aRTEeWVL+bFoIC52xuUsgQowalKX0t2QW6CeC5rcaYrSaqRnOE7DAKHSY 2K4Toc7dypIbr1mIq7TWv7VMhN83hPT928DClet6usoWInyVWH0w6i0LoWud mg+pijCwc++RxB4WxmdkRgdlN2Fu2etMvmof2NKVy1LyG1HD4wQKt/RBYkR/ qDCtHvvSR3SXvu0Dv9EFqu+YOmT6jWusP/SBwkuBl82rOvzq4RJl2S6ft1aM jSyow07upddG3X3wQcs7P8O7Dj/k2f2uMtIHLq07Th95WYs8z+pBVq0fGnbz 2rh/CnBLyBT/lwv74XMdv0Td9AWapaQsjgrvB8Oe/GL7jkrs8Gn94NjTD7b6 W52OLufjhi5aWh75DfwXfo7JsCiHw9FBoVzyDe4Hl/zUMlkHWx/mbOIeGoAe txtc1wc0sOPhiYojA2AVTNTMV7fC1XfHHkTGDEKojpVR/IEv8D109e74sUFw UNukt7m8C4wmMnwP/DoENy4InmvU9kK3S5pQRWkYku3DCp47sPDCvB6M04Zh qkZJwomd3yBc5abSXNUR0OYl5/uFDUJF/rzVLzJG4N3G1NTewmFotP9Z4KE1 Cn42tXdzq0ZBEp6zfXf6KJxe7AS9z6Twyv3KDnWuBGoPbXF/1DMGPLufCwsz JTBANRyNbZ+AMNIw/JEvAd54sLZxzwTsvxqwTjtLAuO5QZcFfRNwRPXEl8Rc CRgZHuRrTZmEy+9fG3jclMCaZo56rtkkvI33PD9eIYEplQk7joVOwqYn0fHb WiXQvLOpK/7bJGyLVHqV3CaBaZVlCpzvk+BlyudWfZKAY8wSWZKCDEJOPy4z 75TAOs9PF9J0ZJDkw2HHGAlo7jjHTVsmg+rvZ3k3JyUQkBL6xiNeBoI7Jvda OVIQvnl0rvaYDOp592SailJwnPQ3sjstg1Zh8+UEZSk0rci6OztHBpJsg3fu mlIwGTyc3VQlA9nW0vnJ2lJw0p75wU4ggx8U4WClrhRSLUj3tQYZ6EbwtMz1 pZCU5Bx0oF0GBiZDAb4GUsi46/jmbbcMTOmTd84bSWHvxf0z7PtksDBl1oTA RAoGveo6eaMysLEvdh2bKwX/MK9PMpkM/gM/2b2w "]]}, Annotation[#, "Charting`Private`Tag$2381958#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjGlM02cAhxEYh5sOsRQWrhUFEdFpQTcn5BeVBQZDsQxxgByNpl11IMpg KMIWFAhOFKxERDlkgEbWgawiHhwiEyqnVFxbcTgvJPQtgi3/P9c79+HJ8+l5 eMIEwV5jIyOjgPf8b25o5D4zY4IWr/U+5a6Xm8seB/X9ZUowptQqPKOKmx8G RdjKLQjsVKukR3840WzaIo6u+IiAP6UYuzgjad7gnVKZb0Xgcb/CaXXzjxBf Pj6WwSFwuNcaHV2Si/MOUq94OwK32xxPlxwpuk5fOhzlQHDwqxHXVr9izJvW tQZ+SlDa7+ul6y1DnLZ7+wp3gpFbCXbPb1ahIO5JoY0nQcQp/9i+zCu492h0 yGQtgXGPkp/uXQP3JvP9w58TtHbEnAmoqcV43uacIv/3fV6DcmWiHC4mIb3Z QQSy4fwcacF1fJsSzU3eTlBZlLRLJmvAjZgjvwnCCb7211sk/d2IjLXylg9F BNHb4+Sy6TtY/NCdPZpFMC+WV3+gvAtPGyuJsP39b7T/1MLGTiz941ZNZSfB hHPPo5KVCkwHiHQj3QRz9sfyk4sU6EhrSkoYJNj1QL/HLOUB9rzYn5H2moCE uNXxPbpxsb5TWmipw9D9X3v5X/ZhsSCzWRGsw3G/s+fUOwegyzNwvAZ12CB1 sphepMLYuNPd1Wodska6wio2qDAq8E9wf6rDAb+7KV4xKrzgnut0fKVD2Npl OyxrVVCXbEy3MOhgt0/bUBCihjC8aZIsHMf9WpFN6EkNgkULdt/zGMfPNXcW mE8NYVl29mcJknGEmZdX+AY+w78RGvWW1+NI7x5ctC7jJQJeDrDy+Ld4E1f/ RWf9G/x0cK+Yq32LnQVlvKNRWmy7XhzITZ5A/dZVK57njoPMStJMDBNY11V5 1WbNBMof//Jn/KFJWPpEfjxwbRLTYt/Y1JlJyHbzOM6b9XCcy49MPPwO6qVa G22pAa/8TygsTPUwc69PtDNj0ObWBacTeghuyA84h7CQWFSZ8iwNkDZFZ/MS p9FQtty3Ld+AHkd+W1ThDHo2+bQLlkzhiSo2NP/sLBhJcWhs3hSqh/0519Ln 0BFSGraIy4AVRbSNiOch3OhTXS1l0Fe+1zqAT/G9tlv/pJDBd2vK+FXrKQ6U x/hZFzGIkJVZmWykyLDMfJZ2kYFmS55ZIyguqDrtBVUM5Gsin9oEUwymhp+e bWCwvIiNOSOiCLx5MHWHhsFVa0lrSTHFjnjTjqwhBsl2j14pSyh2uRRyb//D wNZg3Gt5iUKU21jv9oKBLvabkYTLFMcijMjMGIObGqetq+UUTdMnhVXzDOZ3 Cpr291C0y5zrNEYscsIPLTvVT9ElrKNWJixch/XBtUoKjUJ54Yg5i7xAxSRR UzDn7R+HWLGI74/N3v2agm773TXLmkVQi69D8iiFmQmSbnFYBFspU05qKTj7 hEvcPmGxPlWdeWOSwt75XUykPYtDpeXeXQYKl4HjstOOLC5s7qt5ylJ4ZNvO tTuz8OYVjOlmKdZtuhI0w2Mhtl36jlKK/wAdFFUe "]]}, Annotation[#, "Charting`Private`Tag$2382007#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlHk01WsXx03XkKtSnJSQIZ3bVabiCu2Sa0hUSrpoUl1DcopSpKyMoUTL qxSlDEUoU8iwz++gN64m4xuahCPy/I75HNN5z/1jr2d913rWd+/9fT7r0fRk OZ+UEBMTixbVvydjn/spaQkCl/5R2BKokocZnQ7vX0kRkBE/qdVZUYQtDm4r ymQJvC6UPZvpUopSbO/Dmb8S6InKKexUf4Emmy5kJy0lkH84774gqhy9n0T9 DFMiULs1O0K5qALvrk429lchEGh9ZCyquBKbEx+FeKwm4O0jt6El+SUuSBVR O9cQiDPf/LbwcBUaBKOsmQ6BezZrHYqUqvHYyJvd65gEDrxeENd9WY23jvWk KOsRoGr8cyL31mB9+9AnSQMCnfMYVdpTg1P2Ap0xYwIXuFYTJodqkVkr4/fV lEBqoPaIVVstuhkxSt6aE0C5B1SnFeL1HJ2ZaiBw8BHqNOUi8hK2X0u1JTCo /0dIjSEbtST3vItxINDq6ar21J2N+y8cZgTtJlBhwBgaDGdj9LDfoRP7CKy7 Jy148piNFUcuZTm7EjCNsWStaGLjUGvs8DZ3AvZBY2fch9i42u6Okf4RAu4b bvTdlqUwzKCMLe9FQLKT1jgHFD7PqpOZ8SWgYB5wzf4ghb0qLU6D/gSmNVR8 IlgUKt34+p+OAAJjg/ktJlEU2ojTPfVBBH6dzZO5kErhxfPz2iUhBILl1Ipd 8inM+yF/6uEVAiv35yt+r6FwcQtTcDmaQF3GKMf6E4XbbEy3+cUR4Hoxm4yH KQx4+WeMWwKBeuYCU4ZPYdbG/W/tbhHI3MWYb5TkYMcjT2XTFAJBw6zs6MUc lF1x1mPtXQJJkT9abVQ4uCU+LHP5fQKuVZi2XJODfsIbQ+KPCKw2dIqcZHIw PTDNkJdNoMDJKX5Cn4NvuXkXP+cSWHLtlZmKCQfFPESMFBA4Ktv+xMucg0bv /ytdVUTA0Dkk/gdw8IR1h2NuGQETzQiTrB0cTKnoS75dSeDd3/mP0204+Fpv vDuqhkBCrMr1bjsOzmSIa5+jCDgO/mZzfCcH9ZSX+no2ELATto6ZOXBw+bOq /OxGAlpGZ+yOivSMnRc9+IZAx0MbISW6/613mZFeC4EirlvBCXuRf2jtOVYH gZpboxmOthx8xvAtL+4iwDxzvf+qtWie58ozk58JbGUH2Ulv5+DlnZSF2XeR /7oRjy8Wovn7/MJCuQT2VAyHKf7BQYcrotCGCfxp8bQ7w0i0r0q9lCRPxFN1 u2+SHgdXFrNsbSYIGAQGzw6sFeWzSzUulk/gRADbMFudg9z+V83NcwQ23AqI e8cQ5RkWsGSpOA2fCmwO+YjeJ72kMTlFjgbLgURt/iyFkY7nOz8q0NBamKMx PkqhH3fNKrVlNOga5Of5cCnconrxQeYqGgZ0Hm5ve0+hZpl274A6DYPWWy+8 qadQdvc7nfXaNERXtiTtqqCwI1w37/nvNHSG9zb2p1NYs7rl57g+DYu2bDwk lSji58VlfdNNNJy3Uqsruiria6ittMZC5KdjrUUdF/HoHIFNjjRYf7e042pR ODm8UWKxMw1su8glxYoU9kR1We89QEPWpz7rVWIinisNmzoP09D++ZllYzcb bTS/tvWxaPDZhuVNCWy8wrMYWkiiIS/N94NcI+LJuEE9qxQa1LjLD6TeQ9yl k8yKuktD21rvuuunEVcdHJ6Qz6Thevex44+XIL7AVKFKKQ1df83t+barFumE KSXjDhrs91rp8fKr8SdPnbOhiwZTg3RLs5BqHHK2ZTE/0zDx3W1E0bYa+xh3 GtUGaIja/qUw6EsVdt03uyI7RYO0QrKhnnwVerrWjpNFPDhfrqG/fnclOnqJ H6pfz4OSo6r92TfLUDsmRp/ly4O0a/nFW43zMKBj0xVPPx6E5ckzHLJzkb22 t9nFnwfGKbLy7YxcPFxv4WsRwIOZTZ+bT/Af413xsSy5EB5kntZdE1uWjctC PVZlxfLAqydcL1blIUqcNfzl4xNRfwnBk2CVBOx16+6y4vLAv3qHnyo7Fez6 WwVl/qMQ/Pw3x5T5WrgYcNKbMTIKS1oWPWWtawanF/d2MoLGgF/4kedxvh3I nG+o5NQYKM21tw/V9sDDzqul/oHjYPhks7aJSi/MeFseDZ4dh7gPu9bU7RgA tfkk97MhE5AY7xP0ZtsQDNjGN8lKTYLfTMP8nRzRv6TbDOrxIv19ef6a8FHw lc2R0pSbghHZLNfBG+NQnqFjWZc0Bbu3RhYfaZiEt+YWDc6K06CYpdPf2zoN fN97+44mTMO6tpS/fVoE8HrPAxcFBh+eNThLbBqfBU8zi8ePk/lwycV6Orhv HnxG3kz2pPAhZ+D2wUUj83Dm4RHrZal8GByjSlIn5yFMLuJbaDofnG967i+T XoC0j42qzjl8cMtwY35lLkBHsGviXDkfNobe85I8vQA7XwYE7+3mQypz5mnI xALs9Zd6Hf2JDy1i9lWDcwtwUCuFUf2FD1av+/JcfhGCV1xliW4fH26Y/2+d HkMIkW5iZPYnH8pvxoT/YyqE2pkbnjkLfGjYqbaoNUQIDYUaRd1iAoizP4kb I4TQ7FkkXCopAIH3X3ax8ULobmpLuyQjgG2rNFu2pAmBf1e1c89SASiMGjy7 WSMEoVPB2uhlAijgdw9/axCCtCScq1ISwKuC4Umjt0JQOuWpqLtSAAm/r2B9 +CwEVY2JI+6qAnDf/KhHnSsErdaowkQ1AXz0P6N0ihbC+pgV8w0aAlAurVR+ MS0EQ/Nch1lNAfTzy74IhUL4P3OWeyo= "]]}, Annotation[#, "Charting`Private`Tag$2382007#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj30wlHkAx9dLhd4k48qGqKiQqdRRu30v1ZEku8dUpNVOLiFv3RA1qstL p+uFyiBFd110UxmpVtk6b3usoTYs2e1yCadOnsduy/Ow2+/cH9/5/POZz8zX URwvjDTmcDi+U/ufgS/f5lZLKIgG8tT2ihpc37vNZ181Bf66DeEhIc+QoaUz SqQUxndu0eQN1CLmfHFTXy2FBHXpsOmueghd/CycZRTWK9kDLikN8K7TBhyW U4gpNlQeO96IxWElF++2UXAQTLPcEiUDdWHMem3XlG/dZf3SqgnDtH29u4rC omk7lohamvBR6Bu//C2Friubb4jSmtFvUyC3G6TALrf7qG2SQ3XDO91sjIJb 7RxuqFsrXnPEriYTFBqLAlPuSluhFOe8NhgoCNb6OC3yb0PU5SOFrDGNiKG8 Gl74C4h3P9eOWNBQbsj2lXgqcOCs0H94Fg3Z0bSET0cViHgyWPphDg3598ld wgcKhHPnBvZb0ZhR5jz02u0V9vSKyntsafCXvuxRL2zHzkNG4Y0raZRcNTnd 19OBgIKrVXVuNB75VWap5nbCX77C4o9VNKDV58Zu64Sfq1DyZA2N310OCmIr OuFD/TKvYgONJH5LsMdJJbxStv5Z6E/DRWm5YnRuN5ZkZ3vER9PYs/o9p8FY haQuz3RxLI1g3vW6EA8Vapf1tYbETf3Zfr5RGqbC/kZeNC+JxnrukgcWD1Uo MtLcMk+jcWRxveSpWA2rE/tsb/1EY3rpNfMv1W9gnLh6Wk85jfTNsyTNAb3o C1WrfP6hcYo3a92c+X3wG+hgH8WNYssLxcX9PYM4lhQZZfNpFCkR0QW/vv+I wMfX/G2SNRB4DSxwoEcwoo8+YTKmAb/6lffZjaO42X36YdxRLcruBuXK1RpM RPEjUie1MPbapCjL+Aw7Q25YYtpnHPww05awOgz6nmsxM9Uh/dy7hGfJ42hw boX9OR2UNWfyTykZRJvdNnU0H0Pa1suFb80mICldym/IHcOPY3vl7psn8WIj TyacN476aseCAoEeTPS17yIujKM3z/W52w4DmoNKQmbbMHAO7t438O0XiL15 ZWVXGLxzygqJXExw+FOb7k0+g9qqb1xnLiVIuCnaalXIQNonlVa4EJw0P/Pu xHUG0xc8nq9bRVDcI+cKbzOoau/IT+ATdKXuvqSXMOj/2ZvrGkrg/zQpVaBm EMTLia3IIxDEmTZn/cXA1nPExj2fYI9Tvo20l8GhyAVn7hQSHMp5UuXczyBR kHnzRilBRihnZHKYwX4jD33qfYLnE+fFt78w2GSWHKyTE8juO1SqOSxU44Vr RG0EreJKYmnCwl70m7JJQaBu6Sw+PoNFzhA/5mo3AVPE7Q6yZCFzsVA5DhCQ wHvLsqxYZBwz9J8eIphugh9qrFkUeyU+/vtfAusY8TznhSwyvy6/V6Qh4Dp8 FoVxWYw0t3fodAROHZn3L9mxsIgPqNvFEqzM/sogc5jqz96eXK4nWL3xzo5J RxZlpXoNIQT/AcCaThE= "]]}, Annotation[#, "Charting`Private`Tag$2382056#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUns41PkbHbdCUaFpixBS0SYqhJyyVq0tMSWU3FaF3Bqt1aRk8yuRVL9y bRhjcim5pVyyUlGJVqJyCSVNF+X7cZ8Rvr/5/fE+7/M+zznvOc9532U+IawD 0gwGgyOp/3eH5p5LFeUUSgzyw8d9K8F1+9XGvYJC0ZywtYelKxAzQmIyqykc 9l1x52FYGQ4nXHvSV0uhSiXmD7XYUrBWbFPUr6fwwvpDropWCTY+GNnu30BB fCUhJPpHEbT3ZSYWPKeg8fmujdqiQsiP2b+kWii8PWGcVRteAOrCuNq61xRO R24xuqV4E9+I5sOfOyncdWifX/A2H19ZW0NW9lBw0Fvrz3ieh09lIRq6fRQS Jx9L67/JRT8zpWGpkILJu44R3kQO+iJqw3/6SiHkWtlwkWEOejs/66oOUmiI NqlffOQ6OjM2npQfp+Aouyh4ZqUA7QwfQ5lJCkKXVu+bKdl45RPXPj1NIYYp UypWzYa/T4fNFIPgFL1aXpTKh99/g1LF0gSzSy8/aFvFx8E6KTIuS2B5MsWr /WEWDoxdtRudRRDN6zby9s2Cr74Bd0ieYGehy7NepSz4uNSMDCoSdP192qmt hgfvWJb9t7kEB9VvrmoK58GrUsj7okxwPapQ02sDDx5fORPC+QTKsjvvHhjN xH71eQ79KgTPk0xses9lwn17tuC9GsHn9PjgywaZ2HvC7EcPk8BCiiU9/CoD boWNTm9/kvB/xIVFxmfAtdczr2MJQV6gflKVfQb2zB+dea1BoCFjx7FWzYDz lljnNk2C3D1ybH4/F7vZGgUt2gSyLfvNY2u4YGUXSzfrEDjlDa1L4XHh1Gbr 1qRHsH4Op+VUHBeOch1FDfoEcwp3D48d58LBNGjWk5UEjAm7wOKjXOw4JLW/ zoAgwFEhJUgyb0+5evvBaoKkkMvfBjlc2DesUry/hsAvKfC6+CwXv03+41W9 luDDdz57TzoX2wxZ5ZUmBKW9c41byriwcxcqla8ncH00kG/exsWvCRzfMlMC veExVw8xF7Y1yvdKzAnuXVE0Z+plwIbiLyiyIKhs6E803Z2BLdpmfgVWErzA 8nnyuQxsdmqsybcmEIw0u6nVZcD6b8+FuZslflzFEbEymdh0e+SwwIaggsla 8XJrJqz6zz7MsiVw8ft5+sXFTFgs1FicaUewg3lB9WBPJsz/sn2cak/gWeZo GPILD2Z57RrJ2wneaTUa14fyYNoRGHbFgcBGrkDPiMfDOsur2oksguKYfZSS XBbW0B85MXsJzutkLKz+mIXVazkt0e4ETOGhc2wdPgy9lVdGeUj2HakXC734 WPnI9NUxHwLFumY7YR8fumfPGoUEEFxad2KDy2Q22K/Xn/QJJNCtP2l5zUaA 2uV9Tc7BBP4WJjJO5wXwqLMKsGITlBzixBLd60iTGhYocAgcOEu1vP/IgUqk +xLBOUneKuHqvpr58G5U8E+OJ8DdminF4/koXlJeHpcg0ZNKvd7cng+HygXO Ry5J/vtL0F/85BuIG3+caJ1K8Ge0b6esTgGkjxjLdeRJ7v9nbfo/B4vgVNuz q+kGgSGtl53UWgTevPP8+wUETy/LLC/QLoZ1oRA5xQQFPcb76xOLwRlI54RV EJjlK2mahJVg+MAsovRUklfU2IqBHbfRt7er0+YTgVoEdaP093LM3eSS6/VF oreFDjG7Uo4NWq1hJwcIYsX53lrd5Yj98GxuFSXxP+CrvjC0AkaBVdbGIol/ VWm5qLRKRJ5I5WspDKFxlYn2ZUY1FvJcAqYMhvDEfeKG3ZlabPvYKr4TPIQ5 v2156iX1GBHsA37M70PotOkPMqp+AYe76fbM8GHoaZi0dgjeYHAqIFJmfBjz lFVeOSb3IOtNdFlw2AgiuGxh4/s+TPpt8jr2YwQuMyOOhoNCLJ2+tO8IZxQT gsLPnJdfIdwa/0xedgyytwyjZJdReKTfBM34MTzaZeu59c4QAuRzZJcpjGPb O8u8tIoRlPP0Nj26NI5Qc5FV4acx/GtpVc9aMIHZumkeA4MTEAWk7/K6MIHG rpruMqEYTx0znZWYIuyIF8WfYkzBZ6NVbu4VEUytzt0OHZiG//fnY2+TRHBi PVP5ODKN0CxPW5VUEY4+qA5ynZpGlMLp95FcEaw1vFStlGZwraNBnZUjwuvw nbMm1szg9TGXi1PlIqxnpL2wYM/Avop9zKlLhOgBV4PRiRk4Bcs+PdMtgvDF Ol87Bg1XnSRmda8I8V2/RCXL0zgUV3lbv1+C961yNl1MI2YvY/DHNxG062YH HbSgUTOZ4JMzI4Lh+ryExEga9YVaJV0MMVSrORHNMTSafEro+TJiqF31N1NO oNH1rO3a8dlifHFzWxPLpSFKU3/jOF+M7t2lX4JqaNAOt5afURHjzvtkD8Fj GrNkcPSemhgL2Mysjn9pqB32WaC/WAz2/Yz4zb001LVGPfepi+HbIG/C/kRD p/U/hReXisELbeLzKRoGZxdN12uJ4bZoSXfLBA1jy/zffywT44KZzjuapvE/ ugXW7w== "]]}, Annotation[#, "Charting`Private`Tag$2382056#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkFlQU2cARsOikCpTopAOpJCClTK4IFZF2b4qIIxlFMJiC07FKJBSFCHK oiwqyioYO+iAoBLpgB0LKogUpbQBUfYtSMRojQRQxOVe1hu2v/Thm/N0zsNn IYwUhGizWCz3xf1PX6MWX18ZhaGcGKSUdWNJ3ILOpnoKeZsm3BozeuD35Jbg m0cU5NcyrXv85Sjm/ig1fUzBUfrZaNpbOcZCllIGTRQm8nwO2h3qxfaqShet FgoC60PXw3p6IdE9kD3RSmE2I513xv4p1hc/tFF2UrieIog1/fQUiWOi+I5u CgsdWVqmbn1o285tkskpuLiquq5d6kO46mjITQWF6nt/r9u2QYEaW/N7Bf0U OvP8zNknFNBPbtW+oKRgPvKwZ0CmQImZVdHxVxS2mf5FTns9w0Cg8vmONxT6 0gqr43z6sdx5b2nwCIU0B8HtzZf6sZkvFyeNUpDF7hl8quhHurpl+YNPFMSz Tcc+D3wO24gHLnbM4h9mBgZf+SmRkJh/g8+mET0TOm9v/RLGRXvD52xo/MoZ pR2cVXA5I99iuo5GRbPqfEiACqJDe3S22tKI1DcxPBypQq21R6H4Wxqe5vVi rlQF4d0tHe8caZQSk7ER7dcorzfe2O9Foz0zBhtlr+E5JNdUHaFxtbX6PGut Golrck7ePkqjsuAPUfp3alREec7fjKZRlRLhzfJXg7dQyyqMoTFxR7JWlqjG R26J3pkkGobF21dld6iR6xlnvDuHhpNF4Ez84UGobn1pN1xGg/HT9muXDiEu OkTE/UDjw3FxiuHoG+y+X7CLGzOGAMtin/Ux7/FxLjxBZ2oModwu+wgbClLF 6XtHxOP4SSKrkix6MyLn4PjZcdREvheeuj8Os/mLQVEnJhD/xGPBaOckhj2y WvR1JzHkt8oh4sUUGqzaYJ41CV+9RvetAgbh+iW6FuwpLOGzg8rzNagu+tq5 4eIUrtiLM24Mz6DD0alRwJlGjOtbzln2HJjwAt/gnGm8aMhn3zCaR5P3dX8D LgO5qHDDJ8sFCLc5lZbmMrjW+6gu2YDg5w/tky8uM+g00RVGcQiOSve7rchn wNkQVnfAmCCZnfI64SqDc9xTxS5mBIX9zTxBCYNuF9/VI2sJ+uL3SuaqGfD/ ETloeRHsehAd76Nk0Ky9xh0ZBD5HdJtSXzKYcrVJ0s8m+MHyMrf2FQPX2Jux XRKCsMyaSqtBBv8ynLJ9eQRnA1kfZ98zkFbYWoeWEtTNZAtLFhg4PsvKdW4k aCzn31WyNLhT1kaPNRG0Ce8SQx0N5OqAlaVtBMqW3sKTehpMTjv9tqyXgLnC U3gbarBzxzLdxwMEZHfZ6tQVGnD1BJlRwwRLdXDsoZEG0Qmdfbx3BEa/CDlW Jhpod4Y2RNAEPP7E/iCeBss58wdXThJYys+VS8w0SG2vb/2TIbBJ+2K+ka+B ZdTUzL45AjvH37+ftVjsn+qjCSH4D5zcOv8= "]]}, Annotation[#, "Charting`Private`Tag$2382105#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUms0lYkCPTiR61Unj8Yjk6g7uiVDpiH2uKsHMeTRPQbXa7zGKzEKYWSK hpthJfcWt2jmelzlLpReqos8xvc5Ts5BOkglNXl93zke3/E433V/7LXXXmv/ 2HvtvT3spHeEMofDiVnH/9lHt8fHp5XCH5IZ892Fz7EhVaFi20bBf6uhc0aP EL5ddd67nlF4UqK2rLlfiF/0v6k07KRwztvVZaahD9IIVUqrm8JjvzpyZFcf nO82OSn1UFCV1oc03xegiBt6aZ6gUGl3TI0IEOCVj/bI+14Klnoh3m6aAuz9 5ZGlpI+CfeB9mwNdvciURqcJnlNgxJEBl/J7QTrrd7eKKFCuFWkS314YFbfr 3x2gUPas25xn0YuY8cSImiEKj+KmakOWSTyw2nanbJjCTemHaTMxiY0/EMo/ Syhk2ysbDDSQ4AtSvXJGKeRbEr4al0lUmeysSHlFQbJf0yTuDImFONFs9GsK jfx041tBJA61ZDsGvqUgfO7qUOBC4rLG3r95vqOgkSQK77cl8cZf8vLP7ylM nTF+4bWDhKYjvzrkdwqfp6umVvFI7DcVJWdNrftbTDMPcEkEKXl+VT6z3k99 69LYEoGLb3s0H85RCDJObUuZIdDYcWR4iKZQUqzXNTJBYKS67V8LMgq99gaB S6MEVPOdkrYsUrj3xVp33QsCVnEPnawZCrvHToy+ERPw87DT8FymcOVxwLW8 fgI5+xqH4lYpTMyMfMx9TuAWb++v+QoKe+SVkX3renC+NrGGQ2P7/c9MvUQE OEMWjp3KNIoXVb9fGyDw2YNK9Qkuja6TeTOdwwS8y0wGldRotB4pNq4cI5CR efWmqTqNYGo4K3s9b1Ww3klHDRrql9sj/acI9DkXOwRo0aj+3WPSXEaA2aG1 MU2HxtaZ2pbBFQJmqj+JSzfTqElnDkdtIOH+gVt5Z8t6HoobL9AhkdKTHd+v R6MxqOQ614hEd2GqqrYhDbNvJ43abEhIE+f7dxvT6NzXHnvQmYSRT+IN1200 Dl/xexzrSSLBIPrABTMaZy6pHxLFk9Cr4MesWtLwfR36m30jCacckZ3hHhpj 4ajre0YiOtxT5YAVDVksjzc/RKLlj0fLk21ouJ9N7xhhSYQ12Ak+OtA4GbvP QHiiF/Vtep8Pu9P45MeylKcGArz4tVix6EHjxXcFuWPWAijlaRG6XjRUVQZi Qt0F8HXbEH78BI0lpQ+bC3IEWBHNX+n6Kw2kZuw5KBPA5Z1IfjeBhmGdhW/z RB8ydxee/U8ijbKqFL6+khCNp1zWapJo6Bz6KV2qI4SRooVTfprGyrOaDo29 QszqV6nlZNHQbt2g1xwrRIlLqp5H4fp+g+PXf54WYrzO2HryNg2nMqvzcqV+ pCZFROvP0LguPDZ7N16Mi26zUfZzNJxrfcSc82L83fxMVBBNYzj/4+nga2I0 D16MrFqgkR9qd4TfJYbM/la4nYLG1FzFuT+ZDSBBRRbyFx0p/utrq+smGcC3 JdnflFpLccPmglGY/xA8msuO6Z+WYpg3G1F54SVmV2MyVBal+HQHr3M2dRyV Q+fuJCTL8LV/DJ8/+hbL0Y4haSsy+P8j8P6up+9hslYccCp9HkmtplUrOVOY PFrQs5G7gC+C62teNs2hfSeJbQULKJ6+UmEppRGzsYq7XX0Rr02yMi2mZLhX Ye7YXryIZJ6VgeGmRQgcDnZ4b15C/m27Xf/WZsDElPmEFC6BuTqve1YhR/fx Gye09BlkjG1L19q0irAvD1ZXlzBQ1pzbcVm2hu9mehdGShnUB8d0TK6sIbEy +BDvKoOmW9oRX3IV+EH9x9cZ/2RQ1OlTJtFVoHz4NyPvKgZXPw0lttgpMJjG L1q9xyDxWtxp71QFjj1MSvOSMLgZyXmnvKqAVwK3O3eUQXxvRLktl4WfWal+ yysG4kFbuwhNFlH5D5p2TjBweXldq92YxXl/zuzKNIOvcoptTjmyeLJ8KaxK wWBaqaWsNItFR71pg4Qjx+GLTbzmXBZkWAO7SUUO0+DAIHEhC0mPuPysmhyV fvxErRssmGtGQ8c3ydHO14o69ZQF63HbIpcnh6yoNjavi13/Nb5/pCuHg4e5 U3kfC93YsM07P5Ej4MnXrm2vWBiZzgcHGMnh+MYlW/SehZnoQn2RiRxmcY/O vZ1jYZlnsNZhKke1kHCXLrGwdqh1W9kux9HyinGWZfE/gWJovg== "]]}, Annotation[#, "Charting`Private`Tag$2382105#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVxXs4lXcAB/AjLMTjksvWSSLpmc4zbKVx8FWPPW2YxyVzvzM6nsfcNpfc jx3KxOlyVEepzRhLm2kuqbnlicKkcmbmbh4W8h4c78vht+2Pz/MxDv/CM2oX i8XCf/7/TGwIphspNPTXWJeqjGNerb2lu4nCUeHPtcp949jvkc5ta6HgKtPk W+ROwKPs2KPmVgr+vJE1r12TEIwtO/zyiEKiZDhyr+0kWg/VtP/YRiF+bv7Q TuwkVs5GnPq+g4Iqrzd//fok/GSSj651U/jBUd96cGkSF+0uPRE+oZBSkZHc qzuFzjzXT4p6KZxO8UqB7RQ4mh2uWf0UNuOH1HNypxDmfW4g5XcKSeJd0eLv piASH3dPeE5B7+2wmdHHUyBHar0iX1EwCmH3HlaexpDjZX/nMQpj7qVf3sya RmpiVIz+EgUD4Undb4JmUOiyHG37hsKleqcy6/QZlJmmRAdTFLI4uicui2bQ OFz4edU6haCGZ7GJAzNYtb0bab1DYdazp8eUO4s4xdXQzzSlKHldssFX+xsR V3L8RFZSdF4o/pYUzcGtUeys/5UU3SZZxplOC4hZDSd6qVKwHyxatfosgG9p fl8vXQqFOreji7wFNNc2G+plSRFVr5pzRLgAk4pXK3sFUlzbF7hHZWwBsgLN Mm2RFLMV5edLE//BLT/+jHqjFKUiraSyq6+xLOdlKMqkcPUJCjvfvoQ7ktz7 cUmrsLEIjRuXrGAzxj40bWsVQ4IVX06fFIbbwoCE9DVo1R2rGMlYw9zpoqcq SuvQ+bPlJ9pKhi6zPhwoWofSnsqXeZ0b4KlUKRmryvBecCr34UEGTbdN7buE MvS7bQZW529igGvX7am9gVunun591roFmif2Cr24AVbzyTFmRI4e9wpvDX0a z3niHG/5NsJt7Kqrr9DY/Uat3o7Zwdml/vW/RDQcbFh3s7d3EH8nxEnnOo3K QX5ghwJBtip/KuMmDeUO3wlHNYLykV62ZxWNOXvLZEs2wXCaT6m8iYaCJGnf kB2B84PENI9RGifyDQKMswk84pR6BGM03ldsuMrlE/iaiPQfTtD4mNEoOVNA EH2hpcFslkbqDU5bXglBvj9reWuRRuH4h4aDFQS/bRaHV+3Q6HvB0bFoJ+i+ Z1Q/ymJwYGE04Phjgr7weqKlyMDFQx5j20Mw+vRl+bndDMin7QOOgwT0DbbE XYtBo0bloMMkAXGrOyzQYRBsz3HgzhK8pYjkVl0GZT6CBOt5At3YcG2zdxhk 2k6bv7tCwDZaCwlgM4j4ILP+4BqByYuv75UaMridsp/o0wTmBQbb3UYMNv5Q 11WXE1hxa1y2jBkUO4pXCCH4F3IEDfc= "]]}, Annotation[#, "Charting`Private`Tag$2382154#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVU3lUjXkY7igtRtMeWuRWrjTNmSw5SjxNCm2ohmTrdrUjsoTQamlE06Yo lTRliaZQsme5ihZbpPndbkKLGS2/71LfTd1v7vzxnuc8532f5zx/PC9PuM0n eJySktI6xfyPv20OwIdqiqlVGt4npO3onVB7U3SDQmhbVnPMrR0m3jEL7t+k uDpT9ra/UQzvnLl3a25T1K+caDg+UYwj7f2Lrt6lGN4WkmzgIcZti4u1Zfcp 5oQ3qr4wE2MwfJNzyQMKuwLB56hRAssK08cFjxR7/oRPXRIC/6FW11MiirJl 1nc7RASpjhl16XUUjeo5TXEVBA8TPd1SnlKU17pI+QUEw/WqDYcaKA6U5FoG pBLYaD3wjG2iCLxQM9AUTxC4an/znucUFkanZ9vsJsjOs1sZ9ZJCfW+myGkz wbPOgZcRrymyJD09YiEBN+OSb9AbitQEF1HbOoK5kUFvNrRShNxOqjRcTRB2 faqfXxvF+L7dkj3eBPkj796tJBQBy6uCu7wIXjllrnVvp5A11p5w9yBQO+ol XtxBYe/VYH/SjcCxSW3jwk6KeMHHvVXLCLbrPeyY95GiWBpnk6/gJf4HAm27 KN5oPqmF4v7vwnkfZ/ZQeAkimHR3gh+7B4MsPlO8bOIX/u5JsNimrNvkX4rL 4fEFpisI9u4IDjPso2jLmVHk6kOQ7NEf6jBA8Ufu+NEVivw5lntCN1KKAZ+R /KG1BKVjXEiilELTVpg8S0BQ/TY5pPQbBT9o01ZZMIHoL52QZ8MUmS+M8pZu IWhJzg3ul1GESlo/G+wkkDpcDponp9AdcC0xSSQYp28XtFaJQa5L+pD7MQLd vrubYscxGKxsNOnKILAtfC58osqg5aiKwLOEIFJZKlitxcA1nUQnNBMcFO8X xOgwML5j11naRnC8SkVQoMdg0dR3PNMugrJQw4DuSQyEgWFWjKI/vQ32G6Kn Megu52Vwv4ixKSveP3sWg9Bh8YjaOTF2bNXwvzWHQXbxBgO3SjESl2Sskdgx uHD4csW9WjHOssV+fAcGVllhdc7vxZCsr1tV7czgqbwwNo3XjjXTf/R568ug K6A3N+pyO5ZX57kbRjPYsr4pd75EgjCpkDPYy6CevytTl0qQZGt93SCGwRwz s4OqKh2ouVRjahCr0FsbNzhYd8C88M2g3hEGutujVjfu6cDQUa0cnWwGy15N OXXhh/co8E/6OLGawcOY1Pta196jfzTigPIQgwjf+dF6Jh9Q1JpwPXKnFM1F xZnOP3VhJGyhYN93KXYF9jkeb+iF6Vj6uqiYrzC/n+PdJviC7qUpz9RVviE9 n9aWzR3EI34jpqZ8w+QdVZqJjgpf9VIVnsYQwoxaf/a1+oobZy0XPkofQuT6 zenlTkNoXuAo8tEZxk7VxaVn57JgI/J8BanD4MYizZ4bjSj+vnCVpiELZsaY Q7L5KIT2jufPZ7G4Z2Bk5TA2hvC+pm/ibBZP2/75FDJeju1FAS66p1mcY1cX Z2jKEaeR1Hkgn4UkwY3XYyrHmbanxj6lLP4MPKV2aJEcb/f5pY3eYNHR71Z+ PE4O91s79nkTFtcTrvS9UuLgHalSf6SdhbLnbD2JOoc15tmGdzpY5Pc2m/Rq cwg9dvMa/xOLky9L37HTOBxaq9T//QuLOaP2bRN/5XBv5ISwVM5CW5QySx7P QVRuVkmUZAjqkVsPJ3NoFFZy2soyZGtIZf1pHMizljP71WRwsrujT85yYHON W1dqyxCiF25ZUsuBW35l+hFdGUzDYyqy6jmoKmPXbX0Z9HkNE5JecNDfLNTh T5Gh7lEKf/17DsZmXwPWGcvQEmXTvaSXg/nrw+VppjIcVI/cbjvIwfropDGR mQzm/PDHk1kOsxZc9PjOk8EiYV4nx3H4Dyq8/Tk= "]]}, Annotation[#, "Charting`Private`Tag$2382154#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVxX1Qk3UAB/DFwLHdSYCEOsIdHGIhsnYYhyF+qzNDJwgIKlKC6zhxgTBe FIQOTNDIIPDEItAYJozuFBYkJ6Ie4IDm4kw5xIEQiRsYbvY8e3keXvar/vjc x0+WFZ/mxOFwIv7z/zNXktoEGgrPSx2j4esNyPnwdoVggILQOsa7rDDgm5Ky bYIhCg+FjwTlPQa09EhpvpZCmtQ7WWUxoI/1VPF1FLJCFZtmA4yYCNN/wh+m IN0/9WtRrBG2XKUH/wGFG79kSCcLjPBQpw+4PqTQbq2UzFw2YsdGu9h1lILV c1rc/9yI1PQ7M7wxCq8f/ParMN4siq6W1/H0FGZU8riGDbNoF3lxeZMUDnOi Q7VpsxB6SUZdDBT8ukfSQvSzMC3Ji7k2ClfF6ge2a3NIOiB9m7VTSLAMKs4O zOFex8ZRE0thUvneu08m51Annxfrlyms1J/W6NxeYPtY5rN2FxrM7lNZ2zJe oL4je9ehN2i4i+19AtHfiJIfX3NzM42PFFtq2Yx5KB+f6jyWS2PYRdMWpTPB oHlnqiqfRkXM7drRKROCO6f4bSdoyF6L4OyjTbhRHZliLqJhDvINDRKaodvJ 8rPLaJysF+ZuOmIGcys7RVFLQ91bumfAYUZMY4ogr4uGKlzp1nT+FRbSI1ML F2m8n/tWwpWf/4Hvck2y4qQFjDbhfnMlDcPH57SuzlZ8lpyZ2JZhRX+gDuvO WRFSMOG5SmSH3LXZ2Y9vwyWVdmLwewZdjQGR/TU23G16pSxbvYDhiK2aeA87 ktkdTF/aIhh5/d7UKjtUXzpp9tYtYSj2x8SV3gx2j/259uUfy5Bt2drScoFB k1A9zX3mwNGXv1snLjIIuGATNxodyFambPesYzCYeDwkYt6BEv7p6eJLDALv NUZmWh1oePKbT3wzg97WFW29PILRwv3VS10MzuvjJMHBBLu6cwrjxhmwVaF7 BHkEccech848ZRA2Ev3pFwUEB/wvevdMMZiMqt5gLiY48vXNjsAZBvFwo4bL CcoOckyL8wyUK/KPlnxHcGehUtbsYLAqbF/YT90Emusi9TiHxTon/83cuwQ6 mZq4c1ncf1NkSe0nGNeONBTxWITMSXrW6AiYH3wex7qzsIwdOlH4lIDEXFt/ xpPFXzVJNcPTBCu4yLvlxWInU53tbyDw+lzmEbiWRRE/snTAROAjsqQk+7CQ VuSrvWkC/0fl16t9WYQfzmlNsxMEnV29rBGxkHTWpncsEkgiWqWLfiyiez4w E0LwL5cz8bg= "]]}, Annotation[#, "Charting`Private`Tag$2382203#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUXlUjHsYzm1aJsutDEXIOIQrLUqWkeciopxug2yl5mSbxpXsEcVtpUzJ rSuTJZG9pK6OfZ1o46JbqblI/SZLJb9vqu+j5rvjj/e85z3nOc/7LOLQTYvW /mRkZBRgmB+7OXdFgYWa4qIq96vIRIsts+8csCileHJ0U9m4JwQpMXEzLZ5S qGoqstyyCM7d9mWE5RR5k13L+kQTPOSszwsrKca/OCguUhBoPOqDhM8o5rRk brQMIujammMl/IcidppxwAl/AqtCean5S4ovz0VHkrwJHNudo8yrKbwmM5Y+ vxLMm9DtbF5DYVlwoyppOoFMfrfZrI7ifuOcRIEHQdTZ+CyzegNee3/LoUkE me8X+plpKAJqNRq9M8FVe5Gx2RuKC9P/rZc4EZQHNZSYvqN4ZDJv7MSJBCTr 9O+m7ymUGtm1e44ERrVhYtNmimMbdp9uMtxDRa41JlqKATNOHk824N2l7EGT DwY/Lo5elw18vynvweQThW2JR5XEhUBRkaATtFKUDqq76WrQE2fud0HQTkED ik8muBOcmDsoWNBBER054avbFIIbf2isBZRizcw+TW4Gf9X3cp8Y6yiK7Sf5 7PckaO9R7DHuoujjvTDeZhbBiuW+47luivJZbRvfeBE8LppQ085RTBXJSpvm E2QpWp3reyn6UZX9cSmBoLRS85yneF72INJ3KUG4+MoBdR8GufYH3zsGEnjV bWy6asLAY7K2LWYtQYGbX1qeGYM11Uv3thn6G5rq5JktZPDTKkVHfARBx9wv mYn9GWguxTe47CFQFUX4BA9iYCb6y3peBoHpz9LuxTYMlkS5iBtVBBEK1zML hjBQdhZKsk8b+hTTXvfhDNIX9KaHXyWgyq2Ffccw2BY89LyiimC+YoftDXcG JRdPNA3pp0WReqk634PBMDO5ZolIixHiKVvOTGWQvz4m6cwwLZja7orUGQx8 dziO3DdRa8h3V8w6Lwa2Qz0XDfPXQjdyj3bgEgb3nR3lGUe1yKndXxy+lUGY vWxvrHsLtGqXt8rtDJ5Z6Y8kowWOxW+FBTsZuAxw8snxacH1NM+QL1EM6u3K 7+pkLahcwAkj4hhUFwZJPJQtYG9FhGzOYNDZXuTx/VML/E6FWGwrYcAol9fE XP6Ab3JP2a7vDJpWp/h5L/iE4b2HAzfv1kGytMdk9qE2aL2Ty80FncgO+Ppx 9aUOPHKoxIjkTow8GX02VUWhMM8TiIVdkKW8y1i5XYeSU6M9Hx3ugnzngxS7 vV14JpmhXmTVjZsXX0/bvpoFq1Atlim7kbUi7HGK5zc89T8Z0H8wC2mYtNV2 Wg9Cp804d+5PFmNT+Q095nqEtVV1ajJZ6AqWXeMs9YjICfGyzmKx700032mr R4wwtnHPcRZ9t024+HmcHtmvy+wW5bEQFB0fXTFfj5pdy9J6SljcqZNXrEjS w+fmll3SBhZZE4Or8015SMMFTxP+M+hSOxslD+CxfFTm4Ntvf/w/Zb1uMI/1 B28UOTSzGFgR2mLrwCNupVH791YWanmC++a5PO5+OxSap2fxcVN69OdYHup8 +8IGIw5XNzPZfyfzqAwt5C2NOUQ+7p8efYRHQ3l1dpQZB219ZE+/XB7sMbta f0sO3k6R1+0e8uD9roxJsOYgXUbDNWU8TI2x7ZaIw8tEzy7VCx6iDaFWDkM4 5Fcs2WjTyMPOXhcSaMdhlWBc4KsPPEa9is9PG87hrLJ+oLKDxy+JNr1qew4j JRGZ3iwPV8kF3+9iDpdoayPP8/gfwNq7+w== "]]}, Annotation[#, "Charting`Private`Tag$2382203#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkX1Q03UAxmdjIK8BciOYY6BJCVEHXnC8+RgSJB5jMERUaLQzEEVkYp4Q UrwpiiCUYQSmdLzkeWCKJyAkpnAgB4TyZtAEEvFOgb3w3fitjX2jP557/vjc PZ8/HjfpsZgv32KxWIFr+b/1p4bdPA3LuCiWZ6YWLiGiw2PHV6vLcPK6klbU s4Rq63dcZXQZk9ncYxarS1iQcFhH1xFEns4aMd+qQNBt9fQhNgG/9WRIW5QC F0xmug5yCBI2OudtyVRAHjd4NcmMQJUTlh51SYFcfaMk3pJgap4f9/qJAkOR PyDWmqBpW13wypICgmv5AtHbBAFHh+dKOUo8CE2cDt+wtu+5MbDSVQl2mb3E j0fQJd/1baxYidgZun0bn8Bm8rvObIkSdT6LLh8JCGa+dyrOPKJE2ETvc/fN BPXPBhpe5ytR7Hr6c64nQWvrzZf+vylh1fIqURNAIK4X7nvDUSGBMxasCiLY /fHgezttVWja+5C/uJ3gPGUtFzurIDTUyOdCCEzDnoTPfqhC+acxiaMRBHER d56Pxang8KwzoWU/wd3sZoN/nQr81YoDsmyCG7ltD7381Pjsn8j2yzkEVqFa 2dMdapzoNXe8n0vgHHwhJD1Cjf6KvKcWBWv+5CKmJFGNk+6yXXUlBGYpQu+D BWoMR4n8JmoIfrRycWwcVCP/F5sNwV0EDZ+kZAQkLmM+vKR/vYkGudxz9vVp BI/cB+BSokHB5IKN1x4tDq9vMHEz1+Llr3zOWc0KWq+9G/yoQot93VF9vMs6 DAUG9cTYreD9DtHs6Do9mMPV4qSyFRQmmYy/EBrQJ7q6x5rLoFCaKk6uXYXU P6ix8RIDQVTT2I3HRqQuDmr+rmSQNR65s3nIiIxaSah9FYO6Usv4myNGfGNe MJtzhcE9oeZUk9yImr8e82IaGAyO8BurVEaMZ+0tN7QymO+VbfVxooi4dzwr eoqB9ovy1JQUiuh0k74zcgYfdOs6kUYRv6mS2znNgG++uY8ro0g5397iPsfA e6jP7I9sisL9rCX9AgNR2psA0zKK+/+WShuMDGrZ2jnxHYqeZsGtKZYOmv67 asd2igHpLWrL1sHgf+7B5O8UU/2jNV+b6RDHyfo5oZeC+Yk3IbLVwULmdjx6 koIKm7acsdehxNfqouU0hSkbJzocdEj29c3ofkHhcERq5+60xtlJeT6LFDwB kRzg6VBln3b7lYpi00hRczlfh56ZP69Xayk8zjqu9gh0a3/YHRLqKbwDr+/W u+nA82hbpJTiP9RI4rQ= "]]}, Annotation[#, "Charting`Private`Tag$2382252#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkX001Xccx8UVQos87rpuNDe6LZXJloe3LWYYkyVOiJyFmMRwNEUekkOJ mmvKPJ0iM5acZmQ0d9KEVUimiDpzLL+fpy/9frj3t7s/Pud9Xv+93u+PWVis 7zFlJSUlV8X9n6vJj8zEa4twqQ5nSo/S8Li73TlRtoif5twXDG1oXNM22hLH LcI5/MM0sRGNmRBVpZh1BLbpaZel6jQcbi+MR6oQnIjZnVEnp3CB97LjK1WC DpqXM/CWwotDfeWhagSOyyNSx0UKO2tb04I0CG7UxP4WMEchdbUmJECTYEz3 1tNumkK/VxEOahNsKAps91SwsCJD6PMOAVMumvhFwScXYjlPHYKZUJnZ1CyF ey7B426bCerZN+LOeQo6xR4d+/UJKv8asbQhFMKm7cphSHBEVuBipfC5bW+R Zm9MkG1hXCdZoaCSrxtixycQNg0Oxir8D77knGwEBMfUklXrlGlc30OZWgsJ WgO8KajR+HS4e0y0lUDQ120VqENDYnWn3dyCwC35Tf+QAY2plKoy020E1UcT 0i+b0MjZcuaIgZjAJDE95ndLGs/io5x03yfQ3WcUvcOahlWXv+lGa4KvrwrG e2xp9BzfM6ZqQ6B2KeLj4v00tJqmgpf2EYT7+Ih3Kv4TpDrkOO+g6JelLV+I pFHv3ymgnAh+HnAr+fskDe+10hevPyGQXmy8opVOo8DVN3jQQ7F/TF7+SBUN vWdtQU2HCVa3Nes4v6EhkBUGxn1LENhQwm/OncVnk14txacJ4hvyX+lLZpHQ rWHYnqrwezz+R1blLHoK059syCS4yfZGF/46iyRRnPv1PIKJjMfi4KlZPPrC x264lCDPNdejY+scMqo2bnbsIDgVYeYnzpnDP255Peq8Jcw3nG0hwfOQinph mreEuy0/UjzzRUSpV/PMNJZRG35L78wYQXPFe47SwmX0vowMSe5bRr+9Q5ev zlu4Tk8bNlcwYKKufRma/xaPPyi9nBK1ggc+5X7aBgyeX+f5ax1aQ9hHDjU1 3zEotB+YWmckx3Gqb+m5hMFMWWZgp1COk5UhLrolDIzilcfTt8mRppE5cfoH Bh03pZvke+UoHfmT71vNIOLIQ/m/fnI8PeVfsNbMIHFX5DrJFTk8WuNPHRhl 4Lvr4SXLjRwOnOA9yH7B4Ps5m3sP9DkEmEsM2sYVfLFoNELAISK3pUn0msHo /jv9VTs4ZB1WoldnGIiGLmRrenJoX7kYVi1nsFTi5VRznkNXg7BxVImFRRJd ZHuJQ29YI7dJhYXG3qP3OyUcRnsGS1PUWMiS7OpHbnBgrvKHfTaxcI/X/IaV cuC86y2ydVl4s2VxqQ85rFdBwl09FjvqZVAe4KAXHaYjMmZxP/Ka2/pJDnwh CQnks2h792pq9jQH84FzDQUCFk8+f3VWdZ7D9vOGsi4hCxN9f69MhsNu+1rP VTMWV6qGJjmOw38/eTsa "]]}, Annotation[#, "Charting`Private`Tag$2382252#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVzn1Q03UABvAxBYMOZbjgFHCCCOELJGUHJ/T04kuAEi/xEmSjhbwVQsRZ aMCRgm8BkzxyvAiOu1GIU1ACJbwQdiKMBaHzcAh5QZ2RELDv7wXYvs4/nnvu +edzj7ssK+qQUCAQBFjyomfGmws+KSHw6f66KafcCK3E4/yUZdtMHfHNrTLi /U3sU6vTBK7SeerYakSPlxYbzhK8e3T4e2WPEaFlE6FOpQSLI/8WrP7DiCEy H7O6nKD4K+cbn00YMd677gtzBUHDG1EXrDkjOFnqhfEqghsdaXKFJ0FB/9EG fQ2BKLb7d1c/Amv/MrXuIkFncuNoViCBo1Vb720lwaRvVqfiAMG2OuHcxSaC y0ppb1IuQauN03JlM4Esc+O0Lp8g8LDPqnI1wc448aPNJwn2Bke4FbYSLJ/R zPygIPjUUBsivUUQKQodPNdFUOkcqJT0E/Q96RJphQxcC/dfcdZa/mblNwe9 zKDhb2nHGh3ByAkolGsZXGsr0dFhgrKkjJEPPBkMRN9fnBi1+J3+JQF7GAjk WdH1Ty2/giWvHytmkPGSaqW7rcXJ8ReYBCwGhKdK37O4Y7XXM71tWWwzpTul 2DNImWMnw0QsZue2v3pZxMDsoIg97s4i19AWtnM9gwXh3sfqd1jkqzUVIVsZ pOoW2uyKWMg/nNqYc4DBfJPqVMgyi/Z6z+CecwySB3+Z/ugfDrpdQZooi5tw 9+OE5YJFcBnV0UllLPaZNumNs0voi6iLsXfiIM1WrqlINkEWGNTYeJ7Dm7NN tr5NZqQ/GyRjlRzi73n6XLtqRvYl6W5HBYeDP+Y9eq3NjELb40++reVQ/+Xb zPbfzKgZvecSpeJg6hBuddaboc+Lky+3c9iT+Eq4yooi9FZOXqSBg19iQHlX HEXk4ZV9JY85BNgdql57kCLeo9Lp1wkOA/F+MWkyitQzN697TXIgKdYP7DMp TiQIZpb+4/Bs6KxbyHcUtxdLZSozB/ZqmLyomUKjlrQYBDx2eMeN3Wmh0Mpa qMMKHrHVlX8J2ykM/fdrjq3icWRB7F3YTcFVuTyMcOCRsf+uIk1PQcOvbC5x 5HGzf8vDOgOFzQrkdop52O0+rX/wJ4X4c5nIax2PRHH1hremKVwkRmmiC4+f igTp2f9TeIwUq+VuPPLWa765RCi2nHQ2aSQ8uh3vhA8vUuzY9XPYkjuPfa1D 05RSPAcE1tqQ "]]}, Annotation[#, "Charting`Private`Tag$2382301#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj3swXHcAhRexCYZiEsSGRdOVth5Dm07U6ulMXwlJg6UyNcVuPSo1EvKw nptBpKhHRHeSIJRmDWEFlQeJzDSospRWaSKYNPKQhGSb+7t7L2tvt3+cOfPN fHNmjrvsUHiCKY/HExvzf6/Mt+XFFBGQ5UuWToUUNEKP6odGDnPpnxnIobD7 dd2SSTHBWL5r1fwRCrdFGriWEnRFFCTz0ygEly8EO5QRiEjKkOQwhQnyb6RN BUFh5N9zV4wc9RVfyj9NEJPnuzht9OcHtqYYqggeDIiL84178V7eGXQ1wUWf VbOaYxSenfkwf0VJ8FR+q9JKTiF9TVL26CxBX0exbDCLAiNLOjt/nuA9J5J5 M5dC3khW03QtwV9658RnJyiY+5erxy8QuG1qPbHb+MfepGegv5HAbF06kV1K waveVHuhleDJMdUNWQ2FLr6DXtlGEPKHTl5XTyEg9c2NFWoCv5I06UoThU+D Ql0UXQSfZEunNW0UpLN1e2J7CbRz7onRtygoHQMahSMEFSnDS/zHFLYp9rY7 agiS8ml/n+cUmh7FXnttnOCXH8K2xGopXO4pGucmCZJPqXbdW6MwKplaXbhD EBet8w60I+BVHpI0LBH8bPnSXBJEcHCTaoO7BQ2x413njnMEo6bflX1kReN4 Wt8OQQOB13qyQ6I1jXiwk6Uqghda7x2X7GjIH98ty+omODrbE7LTmcbcdlte 6RhBrnqwas/bNN53Ii/iTWlURjx0S99HY8rTyqIwlcbVhu1Bt0/TuKY76TO5 T4fxQPFguJ0OCQvrJGGdAXOwRhJXrkNF3tede9tWMRxaH2ntwOCVzeiTcoUe sgBxc3M1g1+tZT37vQ1IXh4j95QMwj5ID7j+rgGHf4z92P4cgysTGf+4iw1Q WBTcz6ljcDzjs7qXwQbU3vlNEK5i4GtzoLTgGwOmM6Mq9VcZ2F60pHObDAju Tc8Mm2VATnxR1OvEISx1w3DRHIPy7Mab5m4cDngoHW4sMJCK9Ev7PTkklVzv Fi0yMPHVCe7v5FD4JW9l7TmDDO5VHx3OoX+1TKYyMNhCAn5a/p7DoFrYOctj 4dd+JsezmoNG1snZmrHwPKL0j6vhMDsyVZu9kUVrxpDfeAsH5rxgJtSWRYyf KKJ2iAP3efsbRfYsMlq2aTVjHPhmONq3mcVioTBOP8Vh87cyO9FWFpfdFOqo BxwEQio2WsCiu5ouKXjKwePPk+pKFxaK3zveUWs5vHXKcX1QyEIu39U8w3Dw C2wJWXNnURXuushxHP4D1CgB6g== "]]}, Annotation[#, "Charting`Private`Tag$2382301#2"]& ]}, {}, {}}, { GraphicsComplexBox[CompressedData[" 1:eJxTTMoPSmViYGBQAGIQbWi90vu34k/7IsWVz////2/vtauoMvD2D/uG6z3p O0z/21+rDJ/wZ/sP+8Pe2UvPnPtnv+9Xb9Kyfz/sJ88SPVU6+7/9nJsnpYOW /bAvmFD07tmsf/YtUQzvfr/5Ya++Y4nx3oz/9gJST1mWn/xhr+ZizJzB9N/+ xyzp6wECP+0f3n7d9/Dsf/t6zuaHNXN/2GuE/Uy+0fDPPr1r52a1Jz/s33ys 93Lx/2//2XPeqYsHfthHrm1cufjFP/vbp67MqWb/ad+zPyVg65b/9jtXCoSp r/9h/1aOmfvxln/2C7XcNS5+/WGv9yOSX7npv73uK237mks/7KNnNM+TlPlv L5KdJKgm+dN+/9W0ol/P/tvj8n89if7PJ+B/DRL9/xrN/1Fo/u8m4H9dNP/H oPn/ANT/AKVCHEc= "], {}], {}, {}}, {{}, { {GrayLevel[0], AbsolutePointSize[6], AbsoluteThickness[1.6], GeometricTransformationBox[InsetBox[ StyleBox["\<\"\[FilledCircle]\"\>", StripOnInput->False, FontSize->Medium], {0., 0.}], CompressedData[" 1:eJwBZQGa/iFib1JlAwAAABUAAAABAAAAAgAAAAC+65LhtuE/UOkvN+/G878z uZ/oMtvhP//uQHcFqfO/d9t1JSdE4j+EAPQa+E/zv7GWQB+T5+I/KvmYdqC9 8r/zQ63EBrnjP7CP0WCA9PG/oAPUwxGt5D/Y78cEOffwv7gZm5DGuuU/wkq/ 8kiQ7796MzPi59vmP2qIH+Aw0uy/+WuI5IEM6D/bHzFdirbpv3jTOVtqSuk/ 2z4CgkI+5r/iZVto2pTqP1VX1KWqaOK/wwInUS/s6z9XytQTeGbcv2xWcs3T Ue0/Oty87WMy0799LBj7VMjuP+IuZLJpS8K/jOHlQ9gp8D+Xhm2AsXOdPw1a jvEA/fA/dymAvHrRyz+GloyveOLxP/9Lu72PSNs/I0bu6YDi8j9hDyqauyzl P4kfiKVYDfQ/dykmvEvu7T+evPG9O431Pyi5RgtTcPQ/AAAAAAAAAAAAAAAA AAAAQD+ks7I= "]]}, {}}, {}, {}, {}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->Large, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.770312795856073*^9, 3.770312952987482*^9}, { 3.7703130317439337`*^9, 3.770313094480289*^9}, 3.7703132424392033`*^9, 3.770313624846313*^9, {3.770313744698464*^9, 3.770313781178895*^9}, 3.7703146245542297`*^9, {3.770355465236412*^9, 3.7703554684140167`*^9}, { 3.770355575722951*^9, 3.770355581569278*^9}, {3.770355647712842*^9, 3.770355657773674*^9}}, CellLabel-> "Out[288]=",ExpressionUUID->"3b99ee28-8c1f-4ea1-be3b-cf235cdddbe9"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"f", "[", "\[Theta]_", "]"}], "=", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "+", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "-", RowBox[{"u", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}], ")"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], "//", "FullSimplify"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"f", "'"}], "[", "\[Theta]", "]"}], "//", "FullSimplify"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"f", "''"}], "[", "\[Theta]", "]"}], "//", "FullSimplify"}]}], "Input", CellChangeTimes->{{3.770370981109158*^9, 3.7703709972216997`*^9}}, CellLabel-> "In[844]:=",ExpressionUUID->"2ca6f794-25d0-4963-9928-90b0d7432079"], Cell[BoxData[ RowBox[{ RowBox[{"-", "2"}], " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Cos", "[", "\[Theta]", "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "+", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "-", RowBox[{"Sin", "[", "\[Theta]", "]"}]}], ")"}], " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]], "Output", CellChangeTimes->{{3.770370987860178*^9, 3.770370997857563*^9}}, CellLabel-> "Out[844]=",ExpressionUUID->"a10fdc11-cc14-4674-aabf-c4ae3066c201"], Cell[BoxData[ FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"\[Rho]", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "-", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "-", RowBox[{ RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Theta]"}], "]"}], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]], "+", SqrtBox[ RowBox[{"1", "+", RowBox[{"\[Rho]", " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "2"]}]}]]}], ")"}]}], "+", RowBox[{ SqrtBox[ RowBox[{"1", "-", RowBox[{ SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "4"]}]}]], " ", RowBox[{"Sin", "[", RowBox[{"2", " ", "\[Theta]"}], "]"}]}]}], ")"}]}], SqrtBox[ RowBox[{"1", "-", RowBox[{ SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox[ RowBox[{"Csc", "[", "\[Theta]", "]"}], "4"]}]}]]]], "Output", CellChangeTimes->{{3.770370987860178*^9, 3.770371000238378*^9}}, CellLabel-> "Out[845]=",ExpressionUUID->"83843267-3f32-4589-ad6a-041fbe0584d0"], Cell[BoxData["$Aborted"], "Output", CellChangeTimes->{3.770370987860178*^9, 3.770371017982283*^9}, CellLabel-> "Out[846]=",ExpressionUUID->"35c9293f-0dee-4c85-aed5-efd2de8e464e"] }, Open ]], Cell[CellGroupData[{ Cell["Other transformation", "Subsection", CellChangeTimes->{{3.770310943982175*^9, 3.7703109474772997`*^9}},ExpressionUUID->"9376d2f0-32a6-4da2-85ad-\ 73fb9f0a7514"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[CapitalDelta]n", "\[Equal]", RowBox[{"2", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], ",", RowBox[{ RowBox[{ RowBox[{"2", SuperscriptBox["\[Alpha]", "2"]}], "+", SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], "\[Equal]", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "}"}]}], "]"}], "//", "Last"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "4"}], "t", " ", "\[Alpha]", RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", SubscriptBox["\[Beta]", "2"]}], ")"}]}], ",", "\t", RowBox[{"U", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}], ",", "\t", RowBox[{"2", " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], "}"}], "/.", "%"}], "//", "FullSimplify"}], "\[IndentingNewLine]", RowBox[{"FullSimplify", "[", RowBox[{"%", "/.", RowBox[{"{", RowBox[{ RowBox[{"U", "\[Rule]", RowBox[{"2", "t", " ", "u"}]}], ",", RowBox[{"\[CapitalDelta]n", "\[Rule]", RowBox[{"2", "\[Rho]"}]}]}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.7703104732808332`*^9, 3.770310568328499*^9}, { 3.770310607186297*^9, 3.770310615547188*^9}}, CellLabel->"In[21]:=",ExpressionUUID->"9ab596fd-6938-4e90-adc7-0b55096b0879"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["\[Beta]", "1"], "\[Rule]", RowBox[{ FractionBox["1", "2"], " ", SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "+", "\[CapitalDelta]n"}]]}]}], ",", RowBox[{ SubscriptBox["\[Beta]", "2"], "\[Rule]", RowBox[{ FractionBox["1", "2"], " ", SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "-", "\[CapitalDelta]n"}]]}]}]}], "}"}]], "Output", CellChangeTimes->{{3.7703105004113007`*^9, 3.770310568641981*^9}, 3.770310616340547*^9}, CellLabel->"Out[21]=",ExpressionUUID->"e10434b2-0b95-4f46-b5d7-7dad0b230c29"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", "\[Alpha]", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "-", "\[CapitalDelta]n"}]], "+", SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "+", "\[CapitalDelta]n"}]]}], ")"}]}], ",", RowBox[{"U", "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["\[Alpha]", "2"]}]}], ",", "\[CapitalDelta]n"}], "}"}]], "Output", CellChangeTimes->{{3.7703105004113007`*^9, 3.770310568641981*^9}, 3.770310616356429*^9}, CellLabel->"Out[22]=",ExpressionUUID->"1e8c9885-acfa-4bb3-bb84-87efd6309706"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", "\[Alpha]", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "-", RowBox[{"2", " ", "\[Rho]"}]}]], "+", SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "+", RowBox[{"2", " ", "\[Rho]"}]}]]}], ")"}]}], ",", RowBox[{"2", " ", "t", " ", "u", " ", RowBox[{"(", RowBox[{"1", "-", RowBox[{"2", " ", SuperscriptBox["\[Alpha]", "2"]}]}], ")"}]}], ",", RowBox[{"2", " ", "\[Rho]"}]}], "}"}]], "Output", CellChangeTimes->{{3.7703105004113007`*^9, 3.770310568641981*^9}, 3.770310616535944*^9}, CellLabel->"Out[23]=",ExpressionUUID->"680be03c-25a1-4e69-9965-40e8716a4ac4"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", "\[Alpha]", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "-", RowBox[{"2", " ", "\[Rho]"}]}]], "+", SqrtBox[ RowBox[{"2", "-", RowBox[{"4", " ", SuperscriptBox["\[Alpha]", "2"]}], "+", RowBox[{"2", " ", "\[Rho]"}]}]]}], ")"}]}], "+", RowBox[{"2", " ", "t", " ", "u", " ", RowBox[{"(", RowBox[{"1", "-", RowBox[{"2", " ", SuperscriptBox["\[Alpha]", "2"]}]}], ")"}]}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", RowBox[{"1", "/", "3"}]}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "2"}]}]}], "}"}]}], ",", "\[Alpha]"}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.770310660982407*^9, 3.770310705502776*^9}}, CellLabel->"In[25]:=",ExpressionUUID->"2850b64c-b05a-4557-a337-081edc81b07a"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.19175889456610973`"}], ",", RowBox[{"{", RowBox[{"\[Alpha]", "\[Rule]", "0.47685922806195946`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770310696810246*^9, 3.770310706040159*^9}}, CellLabel->"Out[25]=",ExpressionUUID->"08df942c-acd8-46b2-a274-a9f6ec004724"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ SubscriptBox["f", RowBox[{ RowBox[{"1", "/", "3"}], ",", "1", ",", RowBox[{"1", "/", "2"}]}]], "[", "g", "]"}], ",", "g"}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.7701288196089687`*^9, 3.770128819712036*^9}}, CellLabel->"In[29]:=",ExpressionUUID->"43d37ca7-133d-40a3-b103-35a124ae1e58"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.1917588945661097`"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.8328488950734688`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.770128808388275*^9, 3.77012882553545*^9}}, CellLabel->"Out[29]=",ExpressionUUID->"a74635f6-149b-4bfa-ac23-8c7146f331c4"] }, Open ]], Cell[BoxData[{ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"a", "\[Equal]", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}]}], ",", RowBox[{"b", "\[Equal]", RowBox[{"2", SubscriptBox["\[Beta]", "1"], SubscriptBox["\[Beta]", "2"]}]}]}], "}"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "}"}]}], "]"}], "//", "Last"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "4"}], "t", " ", "\[Alpha]", RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", SubscriptBox["\[Beta]", "2"]}], ")"}]}], ",", "\t", RowBox[{"U", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}], ",", "\t", RowBox[{"2", " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], "}"}], "/.", "%"}], "//", "FullSimplify"}], "\[IndentingNewLine]", RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{"%", "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{"r", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}], ",", RowBox[{"b", "\[Rule]", RowBox[{"r", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}]}], "}"}]}], ",", RowBox[{"r", ">", "0"}]}], "]"}]}], "Input", CellChangeTimes->{ 3.770310526331841*^9},ExpressionUUID->"1b414770-56dd-4b7d-a741-\ 92fa704bbdf0"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"a", "\[Equal]", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}]}], ",", RowBox[{"b", "\[Equal]", RowBox[{"2", SubscriptBox["\[Beta]", "1"], SubscriptBox["\[Beta]", "2"]}]}]}], "}"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["\[Beta]", "1"], ",", SubscriptBox["\[Beta]", "2"]}], "}"}]}], "]"}], "//", "Last"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "4"}], "t", " ", "\[Alpha]", RowBox[{"(", RowBox[{ SubscriptBox["\[Beta]", "1"], "+", SubscriptBox["\[Beta]", "2"]}], ")"}]}], "/.", RowBox[{"\[Alpha]", "\[Rule]", SqrtBox[ FractionBox[ RowBox[{"1", "-", SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], "2"]]}]}], ",", "\t", RowBox[{"U", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "+", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}], ",", "\t", RowBox[{"2", " ", RowBox[{"(", RowBox[{ SubsuperscriptBox["\[Beta]", "1", "2"], "-", SubsuperscriptBox["\[Beta]", "2", "2"]}], ")"}]}]}], "}"}], "/.", "%"}], "//", "FullSimplify"}], "\[IndentingNewLine]", RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{"%", "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{"r", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}], ",", RowBox[{"b", "\[Rule]", RowBox[{"r", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}]}], "}"}]}], ",", RowBox[{"r", ">", "0"}]}], "]"}]}], "Input", CellChangeTimes->{{3.769857314450885*^9, 3.769857353721746*^9}, { 3.769857487222851*^9, 3.769857528370942*^9}, {3.7698577655814238`*^9, 3.769857767622053*^9}, {3.770128491992016*^9, 3.7701284951419153`*^9}, 3.770130313749648*^9, 3.770130359530979*^9, {3.770130399749569*^9, 3.7701304079294243`*^9}, {3.7701304943323307`*^9, 3.770130500463496*^9}, { 3.7701307098561087`*^9, 3.7701307301593647`*^9}, {3.770310297641574*^9, 3.770310344397914*^9}}, CellLabel->"In[10]:=",ExpressionUUID->"750caf5b-ce73-4484-8823-7006b87e4da9"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ SubscriptBox["\[Beta]", "1"], "\[Rule]", FractionBox[ SqrtBox[ RowBox[{"a", "+", SqrtBox[ RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]]}]], SqrtBox["2"]]}], ",", RowBox[{ SubscriptBox["\[Beta]", "2"], "\[Rule]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", SqrtBox["2"]}], " ", "a", " ", SqrtBox[ RowBox[{"a", "+", SqrtBox[ RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]]}]]}], "+", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{"a", "+", SqrtBox[ RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]]}], ")"}], RowBox[{"3", "/", "2"}]], SqrtBox["2"]]}], "b"]}]}], "}"}]], "Output", CellChangeTimes->{ 3.7698573543345623`*^9, {3.769857488373275*^9, 3.769857528728146*^9}, 3.769857769343775*^9, 3.770128495835578*^9, 3.7701303142616587`*^9, 3.7701303599998426`*^9, 3.770130408355855*^9, {3.7701304952564287`*^9, 3.7701305009051027`*^9}, {3.770130715351952*^9, 3.770130730853087*^9}, { 3.770310310634082*^9, 3.7703103449300127`*^9}}, CellLabel->"Out[10]=",ExpressionUUID->"703ff140-c39e-43b5-b2c0-5ea117768048"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", SqrtBox[ RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]]}]], " ", SqrtBox[ RowBox[{"a", "+", SqrtBox[ RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]]}]], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "a"}], "+", "b", "+", SqrtBox[ RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]]}], ")"}], " ", "t"}], "b"]}], ",", RowBox[{ SqrtBox[ RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]], " ", "U"}], ",", RowBox[{"2", " ", "a"}]}], "}"}]], "Output", CellChangeTimes->{ 3.7698573543345623`*^9, {3.769857488373275*^9, 3.769857528728146*^9}, 3.769857769343775*^9, 3.770128495835578*^9, 3.7701303142616587`*^9, 3.7701303599998426`*^9, 3.770130408355855*^9, {3.7701304952564287`*^9, 3.7701305009051027`*^9}, {3.770130715351952*^9, 3.770130730853087*^9}, { 3.770310310634082*^9, 3.77031034508578*^9}}, CellLabel->"Out[11]=",ExpressionUUID->"f2774bc1-6b85-4c20-b022-c2afb1e85a6c"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", SqrtBox[ RowBox[{"r", " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ")"}]}]], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"Cot", "[", "\[Theta]", "]"}], "-", RowBox[{"Csc", "[", "\[Theta]", "]"}]}], ")"}]}], ",", RowBox[{"r", " ", "U"}], ",", RowBox[{"2", " ", "r", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}], "}"}]], "Output", CellChangeTimes->{ 3.7698573543345623`*^9, {3.769857488373275*^9, 3.769857528728146*^9}, 3.769857769343775*^9, 3.770128495835578*^9, 3.7701303142616587`*^9, 3.7701303599998426`*^9, 3.770130408355855*^9, {3.7701304952564287`*^9, 3.7701305009051027`*^9}, {3.770130715351952*^9, 3.770130730853087*^9}, { 3.770310310634082*^9, 3.770310345249099*^9}}, CellLabel->"Out[12]=",ExpressionUUID->"46d0bf27-0273-413e-be66-3586e4c2e6a7"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "r", " ", SqrtBox[ RowBox[{"2", "-", SuperscriptBox["r", "2"]}]], " ", "t", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ",", FractionBox[ RowBox[{ SuperscriptBox["r", "2"], " ", "U"}], "2"]}], "}"}], "/.", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"ArcSin", "[", FractionBox["\[CapitalDelta]n", SuperscriptBox["r", "2"]], "]"}]}]}], "}"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"U", "\[Rule]", RowBox[{"2", "t", " ", "u"}]}], ",", RowBox[{"\[CapitalDelta]n", "\[Rule]", RowBox[{"2", "\[Rho]"}]}]}], "}"}]}], "]"}], "\[IndentingNewLine]", RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", SqrtBox[ RowBox[{"r", " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ")"}]}]], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"Cot", "[", "\[Theta]", "]"}], "-", RowBox[{"Csc", "[", "\[Theta]", "]"}]}], ")"}]}], ",", RowBox[{"r", " ", "U"}], ",", RowBox[{"2", " ", "r", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}], "}"}], "/.", RowBox[{"{", RowBox[{"\[Theta]", "\[Rule]", RowBox[{"ArcSec", "[", FractionBox[ RowBox[{"2", " ", "r"}], "\[CapitalDelta]n"], "]"}]}], "}"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"U", "\[Rule]", RowBox[{"2", "t", " ", "u"}]}], ",", RowBox[{"\[CapitalDelta]n", "\[Rule]", RowBox[{"2", "\[Rho]"}]}]}], "}"}]}], "]"}], "\[IndentingNewLine]", RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", SqrtBox[ RowBox[{"r", " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"Cos", "[", "\[Theta]", "]"}]}], ")"}]}]], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"Cot", "[", "\[Theta]", "]"}], "-", RowBox[{"Csc", "[", "\[Theta]", "]"}]}], ")"}]}], ",", RowBox[{"r", " ", "U"}], ",", RowBox[{"2", " ", "r", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}], "}"}], "/.", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{ FractionBox["1", "2"], " ", "\[CapitalDelta]n", " ", RowBox[{"Sec", "[", "\[Theta]", "]"}]}]}], "}"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"U", "\[Rule]", RowBox[{"2", "t", " ", "u"}]}], ",", RowBox[{"\[CapitalDelta]n", "\[Rule]", RowBox[{"2", "\[Rho]"}]}]}], "}"}]}], "]"}]}], "Input", CellChangeTimes->{{3.769857630276078*^9, 3.769857665865945*^9}, 3.769857800326988*^9, 3.769857919852832*^9, {3.769858365250284*^9, 3.769858367757081*^9}, 3.77012857858502*^9, {3.770128730540558*^9, 3.770128737280095*^9}, 3.770128945077916*^9, {3.770129170338011*^9, 3.770129183647987*^9}, {3.7701306001432753`*^9, 3.770130685451221*^9}}, CellLabel-> "In[169]:=",ExpressionUUID->"d5c9734c-e330-43b0-b7de-ce79cefddd1a"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "r", " ", SqrtBox[ RowBox[{"2", "-", SuperscriptBox["r", "2"]}]], " ", "t", " ", RowBox[{"Cos", "[", RowBox[{ FractionBox["1", "2"], " ", RowBox[{"ArcSin", "[", FractionBox[ RowBox[{"2", " ", "\[Rho]"}], SuperscriptBox["r", "2"]], "]"}]}], "]"}]}], ",", RowBox[{ SuperscriptBox["r", "2"], " ", "t", " ", "u"}]}], "}"}]], "Output", CellChangeTimes->{ 3.769857667545249*^9, 3.769857802271044*^9, 3.769857920406864*^9, 3.769858368256866*^9, 3.770128580117004*^9, 3.770128738770852*^9, 3.7701289457032433`*^9, {3.770129175091962*^9, 3.770129184113677*^9}, { 3.770130620074644*^9, 3.770130685902586*^9}}, CellLabel-> "Out[169]=",ExpressionUUID->"c637adac-bf6b-4fb3-bcbf-fd7fbe64c5f1"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{"r", "+", "\[Rho]", "+", RowBox[{"r", " ", SqrtBox[ RowBox[{"1", "-", FractionBox[ SuperscriptBox["\[Rho]", "2"], SuperscriptBox["r", "2"]]}]]}]}], ")"}]}], SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]]}], ",", RowBox[{"2", " ", "r", " ", "t", " ", "u"}], ",", RowBox[{"2", " ", "\[Rho]"}]}], "}"}]], "Output", CellChangeTimes->{ 3.769857667545249*^9, 3.769857802271044*^9, 3.769857920406864*^9, 3.769858368256866*^9, 3.770128580117004*^9, 3.770128738770852*^9, 3.7701289457032433`*^9, {3.770129175091962*^9, 3.770129184113677*^9}, { 3.770130620074644*^9, 3.770130685916531*^9}}, CellLabel-> "Out[170]=",ExpressionUUID->"f586235f-cee6-48bf-81a2-385e01e95159"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"2", " ", "t", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"Cot", "[", "\[Theta]", "]"}], "-", RowBox[{"Csc", "[", "\[Theta]", "]"}]}], ")"}], " ", SqrtBox[ RowBox[{"\[Rho]", " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"Sec", "[", "\[Theta]", "]"}]}], ")"}]}]], " ", SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", RowBox[{"Sec", "[", "\[Theta]", "]"}]}]}]]}], ",", RowBox[{"2", " ", "t", " ", "u", " ", "\[Rho]", " ", RowBox[{"Sec", "[", "\[Theta]", "]"}]}], ",", RowBox[{"2", " ", "\[Rho]"}]}], "}"}]], "Output", CellChangeTimes->{ 3.769857667545249*^9, 3.769857802271044*^9, 3.769857920406864*^9, 3.769858368256866*^9, 3.770128580117004*^9, 3.770128738770852*^9, 3.7701289457032433`*^9, {3.770129175091962*^9, 3.770129184113677*^9}, { 3.770130620074644*^9, 3.770130685926627*^9}}, CellLabel-> "Out[171]=",ExpressionUUID->"3b8e70b3-b594-4b53-baaf-14b2f97ea8ed"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ SubscriptBox["f", RowBox[{ RowBox[{"1", "/", "3"}], ",", "1", ",", RowBox[{"1", "/", "2"}]}]], "[", "g", "]"}], ",", "g"}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.7701288196089687`*^9, 3.770128819712036*^9}}, CellLabel->"In[29]:=",ExpressionUUID->"c4c8eb47-d7bf-4d7a-9f7c-d1e24a1a3500"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.1917588945661097`"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.8328488950734688`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.770128808388275*^9, 3.77012882553545*^9}}, CellLabel->"Out[29]=",ExpressionUUID->"f5f0c1cf-8ff9-4019-b5f7-4464b4712ff5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"min", "=", RowBox[{"Table", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"res", "=", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], ",", "r"}], "]"}], "//", "N"}]}], ";", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"r", "/.", RowBox[{ "res", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ",", RowBox[{ RowBox[{"res", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "//", "N"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "50"}]}], "}"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.770355348192564*^9, 3.770355411408017*^9}, { 3.7703554904566393`*^9, 3.7703555593208637`*^9}, {3.770355600629633*^9, 3.770355614226286*^9}, {3.770355800639642*^9, 3.7703558217746773`*^9}, { 3.770355976864441*^9, 3.7703559849572887`*^9}, {3.770371708970953*^9, 3.770371709183662*^9}, {3.770371761399919*^9, 3.770371761641489*^9}}, CellLabel-> "In[871]:=",ExpressionUUID->"3e9eec7f-5001-4f5c-a93b-fb72ae906f22"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.276393202250021`", ",", RowBox[{"-", "1.2360679774997894`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.2770331051153488`", ",", RowBox[{"-", "1.234897535278674`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.2789434790986737`", ",", RowBox[{"-", "1.2313907127654458`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.2820970274368389`", ",", RowBox[{"-", "1.2255607733578913`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.28645049025633534`", ",", RowBox[{"-", "1.2174290241428252`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.29194760570527156`", ",", RowBox[{"-", "1.2070237210137134`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.2985225891093825`", ",", RowBox[{"-", "1.1943787172706852`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.30610368280020833`", ",", RowBox[{"-", "1.1795319889365854`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.31461641459731304`", ",", RowBox[{"-", "1.1625241577955332`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.32398633297529167`", ",", RowBox[{"-", "1.1433971060343393`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.3341411184166945`", ",", RowBox[{"-", "1.1221927434898868`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.3450120749064838`", ",", RowBox[{"-", "1.0989519573529827`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.35653507236739107`", ",", RowBox[{"-", "1.0737137491800688`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.3686510427195176`", ",", RowBox[{"-", "1.0465145467217705`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.38130613828992516`", ",", RowBox[{"-", "1.0173876678703173`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.39445165169106416`", ",", RowBox[{"-", "0.9863629094273496`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.4080437793785431`", ",", RowBox[{"-", "0.9534662326337536`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.42204329250968453`", ",", RowBox[{"-", "0.9187195189197244`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.43641516161485633`", ",", RowBox[{"-", "0.8821403719333466`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.45112816734863104`", ",", RowBox[{"-", "0.8437419447741636`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.46615451850324546`", ",", RowBox[{"-", "0.8035327739862584`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.4814694902722486`", ",", RowBox[{"-", "0.7615166039631149`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.49705108994954006`", ",", RowBox[{"-", "0.7176921868291501`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5128797533031596`", ",", RowBox[{"-", "0.6720530435058614`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.528938072293954`", ",", RowBox[{"-", "0.6245871714810033`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5452105532243042`", ",", RowBox[{"-", "0.5752766836983292`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5616834034994849`", ",", RowBox[{"-", "0.5240973608479561`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5783443447412143`", ",", RowBox[{"-", "0.471018095960368`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5951824498506633`", ",", RowBox[{"-", "0.4160002052715589`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6121880016666937`", ",", RowBox[{"-", "0.3589965723443882`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6293523710307666`", ",", RowBox[{"-", "0.29995058266235086`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6466679123055492`", ",", RowBox[{"-", "0.23879479223767908`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6641278746717738`", ",", RowBox[{"-", "0.1754492544900849`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6817263278335379`", ",", RowBox[{"-", "0.1098194021198946`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.6994581010935791`", ",", RowBox[{"-", "0.04179334077474355`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.7173187351248771`", ",", "0.028761647666562598`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.7353044461822105`", ",", "0.10200368336033261`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.7534121030006533`", ",", "0.1781223770542061`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.7716392172733403`", ",", "0.25734707627994863`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.7899839494809267`", ",", "0.33995827498525166`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.808445133117963`", ",", "0.4263038018081593`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.8270223223056745`", ",", "0.5168224827025734`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.8457158709112534`", ",", "0.6120799867232919`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.8645270566133161`", ",", "0.7128255437374857`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.8834582729418942`", ",", "0.8200866835495431`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9025133308435003`", ",", "0.9353388476168188`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9216979503141133`", ",", "1.060838375706098`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.941020614595099`", ",", "1.2003666550668082`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.960494214273032`", ",", "1.3612586747878748`"}], "}"}], ",", RowBox[{"{", RowBox[{"0.9801398249265262`", ",", "1.5623395664680897`"}], "}"}], ",", RowBox[{"{", RowBox[{"1.`", ",", "2.`"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770355379536401*^9, 3.770355418067244*^9}, 3.7703555334015083`*^9, 3.7703555668294363`*^9, 3.770355610818757*^9, 3.770355647029393*^9, 3.7703558265265503`*^9, 3.770355989934174*^9, 3.770371716157469*^9, 3.7703717690130787`*^9}, CellLabel-> "Out[871]=",ExpressionUUID->"7d32ddff-a276-4ab9-8286-a064b4787da9"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{"Flatten", "[", "\[IndentingNewLine]", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", "1"}], ",", RowBox[{"u", "=", "1"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Table", "[", RowBox[{ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], ",", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "1"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "]"}], "\[IndentingNewLine]", ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1", ",", RowBox[{"1", "/", "50"}]}], "}"}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"ListPlot", "[", RowBox[{"min", ",", RowBox[{"PlotStyle", "\[Rule]", "Black"}], ",", RowBox[{"PlotMarkers", "\[Rule]", RowBox[{"{", RowBox[{"Automatic", ",", "Medium"}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"28", "-", RowBox[{"10", " ", SqrtBox["5"]}], "+", RowBox[{"4", " ", SqrtBox[ RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}]}]]}]}]]}], " ", SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}], "+", RowBox[{ SqrtBox["2"], " ", SqrtBox[ RowBox[{"1", "+", "\[Rho]"}]]}]}], ",", RowBox[{ RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"28", "-", RowBox[{"10", " ", SqrtBox["5"]}], "+", RowBox[{"4", " ", SqrtBox[ RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}]}]]}]}]]}], " ", SqrtBox[ RowBox[{"1", "-", FractionBox[ RowBox[{"5", " ", RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}], " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}]]}], "+", RowBox[{ SqrtBox["2"], " ", SqrtBox[ RowBox[{"1", "+", FractionBox[ RowBox[{"5", " ", RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}], " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}]]}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", RowBox[{ FractionBox["1", "2"], "-", SqrtBox[ FractionBox["1", "20"]]}], ",", "1"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Black", ",", "Red"}], "}"}]}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.770128916968545*^9, 3.7701291441144123`*^9}, { 3.7701291879812527`*^9, 3.770129197171255*^9}, {3.77012927118311*^9, 3.770129312093254*^9}, {3.7701296966049833`*^9, 3.77012983518848*^9}, { 3.77012986997206*^9, 3.770129875589943*^9}, {3.77012998308843*^9, 3.7701300153006697`*^9}, {3.770130045591978*^9, 3.770130067574484*^9}, { 3.770130126663423*^9, 3.770130157205965*^9}, {3.7701301997089043`*^9, 3.770130256375443*^9}, {3.77031451710737*^9, 3.770314551909052*^9}, { 3.770314645755912*^9, 3.7703146533792467`*^9}, {3.77035582730647*^9, 3.770355870598301*^9}, {3.770356151684104*^9, 3.770356182155067*^9}, { 3.770363505798993*^9, 3.770363507410572*^9}, {3.770363723558613*^9, 3.770363731317477*^9}, {3.770363862588332*^9, 3.7703638927495937`*^9}, { 3.7703639926987057`*^9, 3.770363995031155*^9}, {3.770364075657816*^9, 3.770364102435101*^9}, {3.7703641431133432`*^9, 3.770364143750718*^9}, { 3.770364184140699*^9, 3.770364190019437*^9}, {3.7703642231344748`*^9, 3.770364227624208*^9}, {3.770364297384602*^9, 3.7703643012351427`*^9}, { 3.770364401201964*^9, 3.770364405830385*^9}, {3.7703644597733927`*^9, 3.7703644614483843`*^9}, {3.7703645824091043`*^9, 3.770364584885293*^9}, 3.770365204234007*^9, 3.770367474937028*^9, {3.770367591327022*^9, 3.770367637414587*^9}, {3.7703676918687763`*^9, 3.77036772902442*^9}, { 3.770367846890003*^9, 3.770367899601215*^9}, {3.770368163647591*^9, 3.770368184417494*^9}, {3.770368217841505*^9, 3.7703682610851994`*^9}, { 3.770368347455324*^9, 3.770368349850045*^9}, 3.770368526341693*^9, { 3.7703685800353622`*^9, 3.770368595521796*^9}, {3.77036883046472*^9, 3.770368854950062*^9}, {3.770369258656804*^9, 3.770369273609886*^9}, { 3.770369582680231*^9, 3.7703695863932323`*^9}, {3.7703696266925907`*^9, 3.770369627528777*^9}, {3.770369708474483*^9, 3.770369734789874*^9}, { 3.770370057006731*^9, 3.7703700914233227`*^9}, 3.770370128097443*^9, { 3.7703705150352793`*^9, 3.770370541380187*^9}, {3.770371713596178*^9, 3.770371764884719*^9}, {3.7703720704098186`*^9, 3.77037207098066*^9}, { 3.77037242932125*^9, 3.77037243279978*^9}, {3.7703724780599127`*^9, 3.770372478543988*^9}, {3.770372524229458*^9, 3.770372554308427*^9}, { 3.770372646777398*^9, 3.7703726508493223`*^9}, {3.770372819832122*^9, 3.7703728241592703`*^9}, {3.770372876324524*^9, 3.770372883759719*^9}}, CellLabel-> "In[935]:=",ExpressionUUID->"49f61b9d-5609-40fe-a637-283298280434"], Cell[BoxData[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJw9xXtQDHgAB/BKN6K5yOMMLmYpb8e4rjscX3eZixJTMjGXNClc98I1g5u7 YU3rnZqbhqiI8my0aDN315LJDqOJ1OY2bu1m21tbu/Ur17aK+mF87R+f+SiS f45N9fHy8op+4+2Rqfa6my2rFr47daFv+JjN5tGhePdifHoyN7/Mcxyi7hmu FnhOQXyK+/ofntPxZNbe8EzPGSgcuWLPAc85UPqVTd7vuRir15xSd3S+XwN/ qUyIGKfmlQiJabffOqjhOmy7Pxe5XX/xuxilCTR5e1fyWlyzhNfUflnF61GV VjB2jVPHG+CatGDIpR/vcAN8ekqGjg2p5o8RJpOurSyt4UbUZITevz2tlpsx PtvRc6H9AW+Cw202PZxdzy0obq2oDjis580ICDonrNYGbsWh78o3FAb/w23o XlRi3bTTwJ8hfY5O89GtRm6HuVR3sE7xmLfiZVpD3tRf/+UOTP9qYP+GCiN3 IuK0YuOVUSbejm1B6yY8TTBzgRnOVf6G6CbegeFDOvx0vU28A76VeeqJ+U95 J74PrXg0KMrCn6NkaXLhjW4Lfw6XY8xQ25Fm/j/KV0YMyFls5V3YuUR1UmOz 8i4onkQ2Fqn+4y7M+zwjZ/QcG+9GwrjaHm+9jXfDVZ1p2ax8xt3I9U1Mjw22 8xcYbio/7aOz8xf44Hdl3NwtLbwHXhcS1ZZhrbwXW4+rM4dVtfJeXJ++zy/w Jwd/icDIrTN2Bzj5KxhnPtDv0Dr5K1w+gWBrYhvvw1p1WGBQfxvvwy7VKaXx YjvvxyV7UF7AMsEl9hWokkzLBZdIiW0LKY0RXOJjrfZydLzgEgeyvr19KFlw iU1hxzoH7xBcYkLGiCUDzwou0f/Fbx8azgsu8aituf5sieAS2fFla7+5IriE nBb7i0oruISxLuvEAL3gEn/uca/XPxRcImf+uqlFjYJLRJ35RPO1SXCJv7ff u6tsEVziyMzPsmKcgktsseTHKYTgElOW/WC+2SW4hK93Q3G2W3CJpvL5aUm9 gkto04pmze4TXOLoeH+XlIJLvAYcDH8T "]]}, Annotation[#, "Charting`Private`Tag$2600986#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8VF8bAHCKSEKSUPjJ1iJJWSuPrcVW9qVkKVEUUqEoEV5poUjWiJTI vmXJsY+sM2Os2bKvM2auNeK9/TWf72fOvfc5zznnOY/YNTfjG1uYmJiCmZmY /v3q3pgkVU6ZqXnfluyRLNFELFpC7oOCJ+GKTtuScH0uOpEYHZ8vqA3MlaoZ xzhK0Oh+CX8vqYvAeFz4xyOiAum1dOUlCJrC82NPtufGVSGJl8Kpm6JW4PXr e5blpxq0rnv9vb2UDWw5vRA/7l2HpgMptfZR9mBh9U18UZKALByWf7wVdAAL l87i0vwGVKslVFwT7wg/lZOxGelGJCd+JmdB9BYMHLjkmRPchNiHA5LNpVzB Q279eTN3KyodIrfUmLrDuMmP24Fqbcjd0EHXOuouMML6SjzkiKj/2P+0Xgne h4rNN6UtmiQUmShQKXnlAcyL3z24UktCutzppyviPeHif7s0mLXIqIjarEAT fQi9gjevbpxoR68zeQ8aST0Bbw3RiyXzFHRW+NOnKSc/qPhiaHHRqgM9qY/l qTJ9CvQQkY/hqAOdVJR5ZRXlD8/HmzuSgjpR0p5LwaGCgcB3IyaM/qcL+bS8 rzUvDYSP5PnVHabdyDxoaIv4lSDw4BLric/oRpyLd/3K4oPhS57L1hvmPcib Euk9K/ocLlbNDknF9yKjiF7ni1Kv4fu7zQu+jD4koyf+VYjwGhbMrSfXlfsR +9bbE+NOYVB56Z5r8pN+ZFuykYtMw2GBQE1+wDaA9hwKl7WMegPXFXzvDHAP In/2fOnngpFQ6jNhuOk3hA6ffxOS5x4JbSH7FPYnDSFykNvUL0Ik7FV5f2UU DSGJrTIZsp7vIEwowufJxhCq//tJlkKOgpJYyk4u79+IE4tSEH0ZA106p/5j sRlG0f2PtAo3PsAfv4UMno0RpLHf6tOAWSIcXxm2c+QfRdOXlVjZMxPBziKn 4LXsKBKZfXg982gS5KZ0sF22GUVutxQlmfqSINLx8FZq2SjidchOS1VOhtBz TZwRbmPI0upj9jz9E/wKql+0LR9HtF+mHMlCqaDbdHqD2DqOgm3Yb5hopULa jxW9g7/HUf51N6GiyFTQCZYnhrJOIC7XM0E+Sp9h+KjHiJTBBKoL6Lm87fEX SGvgTWR0TSD5b7u27WdPh/nfnmM2/ZPop2ydXYtcOrw6mLSPc24S2eV6lz2x SgcKl5/z5/VJ9Kpo0P13ejp4PTq1nLxvCk1WZv76bJABpSrcRystp9CHDp3c 4xHf4GAW4cS3tim0Y9Pf+rxINrjPz9ep5E6j6FsWNjLnsiFgRqnlRcU0kqDI 2O1yzYbg7KPZbU3TSO1r1/VfP7IhUtLD6ej4NCr5GlVYLJsD776Fm2sJzaA5 k9lyvdYcuLg1MG3ObwaZpb1vurczD8weT5uQNWZR/NUAfUexPNhd81bshcEs Gua902KpkAcHymdvK1vNIrfHmm1nrubB96/m1e7us+i58RyZLTMP0jO0zl7+ MIt+rGv2xunnw6kyQxbRlVkkaUSdrHlRABnZtL6elDkk5Hde1eljAcSuKasf yJ5DPJlJLziKC2BeNc3AtnQO/WE3kTUaLoA0ctiXYuIcIlYW3xtQLgT+sG+8 I+tz6JGc/8bKWCHoSn0UkTeholZuPj5Z9WKQhwpnvhUq8mpVgeiFEjim5drd xjuPuGQLx36yl8Ju9fx3DP559OmV3Mu1/aWgeHqqeNe+eUTSl+6xOVsKt/wX VM6Kz6MjTXz3JKNKgSbxPtb/xDwaJNA+5ymVgfwXs0ljk3l0viqVq+VRORC3 p6i6hc+jvQW7BpiZEdDqbG4qM9OR9cs101F+BNFudswdLHSU7DDWVC+DwN7s Ebiy05HMnpKSF5YIWKSFi6O46UjT0+7dnhwEcaRtk0iYjhTjLT5HHquE1185 Bh+o0JG9zeeraQOVsGwXH/fMlY4CdffFxExVAppSuFp6l44+K4ZTQhcq4akf fR/1Ph3Ncj3Su8NRBXf7MmL1fejIExmoyCtWwfDm1d9j/6Ojl/8t8pW/qgJ3 l/q0F0l0VDSs1dx2uhoOHBrkKGijo84L/vRX56vBsoiQ4k+mo6WsCn5942q4 f4grTr+DjpR8VOwbnKqhYt7pW28vHX3ffWyp8m01eDfEhHWN0VGJttB/eZPV 4Bl0a9VsjY7KP8/fi4ysAe7a0oG7EgzUxykbY5xYA6czlZqpUgy07uFSwZNe A+8KygxvHWKgMzDO/grVgJvaRUkLWQaq6PqVEDRdA+WqFof4lRkIsRMInuq1 ECDTunZAj4GqnRP2Wc3Wgm73EfMANwbKn3JxsVmqhYK3q9Zhdxno003VsutM daCP3O7H3mOgIMeuy658dSC/SOhJ92KgC9d2xT47XQcbPZvxBX4M1GYVJJD1 sg5itXav3A7D471wZ8/Wo/WgwTli4p3JQC2EUzfYlephjO2yn042Ht85jsKd GvVw2yS7TyCXgRK1v5gKmNUDZLfI5RUw0DX13xFHH9eDNS3Uqq2MgSaVzHgt W+phdlrIr+AnAy1KneHOvEMA/7LUB3KjDKQ2rEkI9SZA+pLR3tkxBgpOuOB3 8xkBeK+8K0udYCB+PlOaeAwBpmWleXbPMJAis0tbbC0BpLoE2DrpDOT9Kzos ZF8DRL3X3bOxgec3bIHb4WcD5Iu7VvTvxZC23h+CBqUB6ta1s64IYujlNqan ooMN0BmaWtklhCHhxzvmexca4Ezed8NGYQypOR8gGv33E5bih5RixDHkp20Y Dl4/wSe+dHZAFkNbVjN49kk2wgELTl4ebQzta9HE4FgjSO6CCLWzGDr5safD QaURutkCX7qcw9ANHba4LINGqHWfmKq8gKGGmGuSmp6NcP/W9WtWBhgKUxVU vUVoBJOuiF4Ncwzt9w2+XnyrCfRiPuguOmJIwVD4XN+9JvjxUXT7ghOGLkoU HGR+0gTq1DgT+k08vubfc7pvm8BZq+/1hDOGhvef8R4obQKm+KKsalcMff2B vWTlbIYjDUO7T3piSHHTrsgkqxmeLI9YsgViSN+gMuDs92Y4fPx5BAX39TjR S0rVzXDCJeVhUhCGwpUGJoQ6m8HcQUb35P8wNOV2RXD4bzO4Rcpy6IdiKH7I zNfdoAUoJJ+7p8MxlCdbeOGaRQuU5hklLOBu8OXbY2rfAuoD6r4ZbzC0KNCe qfSgBaaenDXbE4HPx8hwcCO+BXx3ND7teYch5mpdzVezLfBnr7+4RByGBHjS ufyWWiCNM7uYgFvWZvsvd6ZWiP9wfJtzPIYu/yHcM+VrhVrCYnt6AoYK5M+m 7jvdCqdUM9WEkzDkmALs6S9agf+qUm7dJww1B55srT/cBv0nov9IZ2JIlbtp yxuFNnjUpSOWhTstxl7pinob7Oox75bPwtCzrNdJNLM26DEIXlXKxsd3T3oI +LcBS70y//FcfPyRhL3OXW3g6morPViAIf6iE/onh/H/nU6FXSzEUKB649ON 2TaQY+iFlePOSV+7r8NMhPksulVkEYZeoIMD/fxE6L0TInXiO4Y0pwJytmkS wTvwPKtsGYYeyrY2upwnQrlKwsH/4c65JzhG1CdCW/LbmQHcIhvZgnEWRGBi PWQcWo6hVd7+gGN3iJC3EphF/IEhOcuDCZEeRBjitP4lUoHnI+Fe8aoXEbZ6 2me44KZIc8zWBBBB5XCxIjPC339aycwymgiLLcXb9ldiaMI/wO1HAhHOLR21 ssUtQmh5fiCFCEjngvFH3C+NHCpmM4kgfUxYVawKQzcd30j71xABTIRneaox lJjRpzHeQISVjpd+Org756Wt9VqJwHZto/wpbm2fivA9PUTIjAhTmsEtGj6z +pVKhJeyVMWcGgxV2Pt9zcOI8KL5m/Av3DYndluVrRDBxftJP0stvv86Vb83 byHBmlH6lCnuU2mtTh1sJPgUkKHog7v34bW9A5wkSCTstEnCLSAc6knjJ0Fz rvqZCdzFVGGplX0k4NAsWmSvw5B5ZW4HkxgJjv3ofH4I97vrPSd5j5Cg3MP2 nBPukwp3RoXkSGAY4uwWiJuyjTlSXIEEaeD4IAk3b/pB7CSQ8P7CQ7ADd65P efIZbRKMdop/n8NtaGBofE6HBKIP2RRY6/HzP++Va2FCAiHfT41yuGWrd9jb WZKgO3t9RBt3a0Qiz62r+PfJtX0WuDmVCG6PnEhwjzJ45xHuDPYros9uk+DD q7Ztobh1e6mtL+6S4L+Zm0+jcU9lBDyJ9CTBhYrV3lTcIY/5ZRN8SBAS28af h1v6Unp/6lMSRHYonfyBu/4/tVdZQSTI+p/fCQJuRwbpdHEoCQZeYHxE3Ky1 N2ZRGP7+p0PdXbg/vVuNa4gkwee6t34DuLWdXumRYkiw1998+yjuEWWxtZ4P JCiK9fKcxB3AUZg+nEKCnAoNwgxusb4Ll2fSSKB2lWl9DndlZt/2hUwSTKdv 8NFw2/q5l6zn4euV9D/ef94wZLnF+h2Pb31s4d/4hAPRAlw/SGCq4VD+732n F4408FeTIKNI/9a/7/XVIS9RAgm2Ok+tjeD2eW8ifbCZBOqygff/xSt0a6JT jkSCPfGO7f/mU6rqE6zSSQIl3l6Bf/O14uRW1PxFgreF0mf/5WOlP3lMd4gE fnejLf/l63224juTMRIsLd83+ZdPRf9GbetpErRUsSp+xt1pbLPgQCPBL64I phjcDyQYKXcWSKA67pD/b734loJMPFdJ4M5fc9EHdwFBcKvfBgkKFRbJzrgZ zhrXwtnJ8D9/RtQ53G9Od+yK2UkG32q9Lnnccly3qj7ykiFj3ztmEdyuueH/ 5e8ng0j/rj10fL/tfCZBLBMjQ98H0kY37m+m3/1qpchwWCa2HeGeWR4c6JAj w9st1hCKu8gprFpXkQwsHDlOLrifdql9RqfI4DU3rKeHm7844c7Xc2TYNNPS YcP9W8rASESfDPsPiV4fwc/Tt6j1kxFGZBi4r6hagVvT88q6rzUZXGbcxdxx 7xznGKLbk6FRSF3+PO5us9IaRycy+DQnMwvjdlUQfGHoQQbWVK/+Wvy8xy50 CkqEkGF1W/JbVtw3HIL/Rr8iQ5So8UcyXi/kKAq/d0aQwfay8t0PuOvzI9OW E8iwVRczk8dN9zBWasong/zNg6f18Pp0gd5i6jFIhhCOnmoNvN7ttn+sPDFK Bpmt53es4fVwgCiz33qaDDr264L5uO/nvBg5u0gGMTfvF6K4E910PAR3tIPd 9bOEKbzeLs3VhlUqtkP5h94xrVIMVV29f0/hdDuY6ksVT5Xg9bFF3CJdox0q 3oeYvMZ9IDNAJFK/HcIPlVPb8XpvcFs90+laO7x9v1lkWIyfp+myRq7X7bA9 7ngbD36fuL6/JO4c0Q4UJSGv1HwMKWmP+NRFt4OsXc6qMu7GBI6jvintwMrD CLPOw+draBU29b0diIcF2KNy8H6meMmkdqQdegPT7MjfMMTuEPpNdKodjMW9 yaa4yTwirD7Udqga4RbvzMDz63y26PhqO+QpvbfvSMfjF44USOSiQG/f4uX6 NAz1PDve/1CFAlHLxAce+H2aLFen0KFGgRMeX+jDKRi63W/5Wk6bAp++yBga 42ZSegoTFylQyaVYdDQZQ1LTrR9NHSgwmdov05WI59fwtuOxMAqcdf2yshCL IS7hL7TRUQpUP0r4eBXvH9TNn/WPTFFA7VrGalEYhjzCbJuGqRQwlOy25cbd ySzwZWiFAmnq6hY/XmHow3iITR9nB3gHiC3vfIHX0xznlvaTHbAe4S4WgPcz BlqyGdWBHaCb1axX/BBDT3w5Yqqed4DLNb8yhjd+/xWOB1e+7gDD0GS1o7j5 DiZeq4juAMruPr9EvH/q4+QRKv3WAecdAxje9/D5dtJDcikdsC3RuWzzNp6v W4WOSRKdsCiyOHPVFkPT6pkhOw53AvOXcdpNGwydF0hN9zzWCTa+WiMeV/F+ khBJ1VfthKiYP9HPruD3vcR9z9VLncDS4Xk22gKvv4PywcY++PORU42vL2FI wywnlYXcCY6khapcNXz/qWeM3vTrghIhhZJuvL8t/zQT5xXYBeyHTFGhAF5v 2WVMgp93wVLp8d9v8H6Yi/itKiWiC2pDU7zP78HXwzbrw8CXLtA/Xbr6hQe/ /x7nWpoSu6C6SsJWjQ1DhSXFzSDWDZVvrwdVYQx0X762gL+mGwQnVR2kGxlo MKv2BUmsFyhCPoeOOTDQmjMl7tCjX2B+ktKdNU9HRzTYNhzL+kDmSPCKlxcd nU8Wc8rdOwDa7GX6UWPzyEvY9sBv60HYuLCWTLs0j2RmzXZ0GQzBI8mUB9b2 NLSbe5699s8QFD3gESmfmUMsKC5bPP43WD/PVX97fxa5nCzr2a43DDfv8rM2 VE6jDJ1rSRVLwyCjzTq7sDSJFmeEeMajRkBm7+2AKLkJVGhyfmuk9igw7V5m UpIcQ34XghILxkdB8ej6wyWRESTWr9udEjQGsj1Mz1m3/UaqSoGRgvLj0M1S NCh6qh9Zi7StMrePQ9pbu0N/HnajxcZXw+7+E6BdnCguxNqOolls7htLTEJD PRZQcaYJ7R4oTN5SOwmWTrxSSdsrEetjf1OVu1Pw9Pcj6gBHDGL6apM9zDsN hrp1ujOO+eARm/2Kt3oahurvzfm+bYAfR0LYd7nOwP0bn/qNpCiwS9dDJoBr FuSUv5Kt+fqg7yix/WH5LPDoamnxlw9DzgeQGLWZg/RbY9b87yfgarbiLuGN OdjGUrFYxpiFossrXEQmKvS5XzVJ3jEHXNtKOZ9tpUJq/htCtMQcVFqfYZ9i p0KkdalrkfkcHODQ3izYTYUbfadkvpfNwbiD0Zz+ISoYP7nmyQihgqvQ7Z++ plS4vVPEK1lgHurrjhKOWVCBEcatryI1D6J3abXDVlRo2M/1tvfEPBAJHpUX bKmw4JpFPn1pHuQfPCzmc6ZCz5LAREDwPCy3Bad+86NC+j6jBpnleXga9NG/ L50KL5XPDDT/psNOLzZd+0wqfP5t9G2cRofYm3d4x7OpsDSptmPnBh3y9VRS aAVU+OU7v+2pEAPGd5FqtyAq2KWdm95iygC9D0zsh9qpIJ/O4/zhJwP4i21f P1ijghrB1c25EoOUtDrzP3+p4B2uLXaLiIFc7BFRPyYa7FJZvPNoCAOdx8vZ Iaw0aNhsme5gWgBfrTBSHDcNjEw2Lb01F2C4rYKvWpwGWkeYC3N+LkDmpHAc lz4N5I6fU/s4vQghCUF2AxdpUGuzWP1rcxEcjOcks4xoIA277qjtWYL95eU5 BhY0OLVVmPOp+hKEhl2pf3mNBh+rB6p2xSzBTcUYOsdDGnAqUIeemSyD9gxT ca8PDfry7KRaXZZBNOmmb/oTGnxv3TxpHrgMnduV2XQDaVAxnF0tXbQMZ/s7 9z8Po4FqTxWNW3gFDgTyXWD7TINRuQi7+39WYEPZd2dXGg14TfM3+veuQs/c CPlzBg1OaEeylCqsQrhF/tVzuTQ4sKkaN+SxCpuHje8FldPgXW9+Szq2Cr2D JcpmiAaznrZaN/f8gaJIsQ2JahqoLL3d0a30B1w35kNqCTSI/0waZPL7A32k sA9b22lA9rnzVFVgDb4HL19v78Dn22S3RUdjDSJP2R5K6aaBlEX1UprLGuil yhZoDtDgecl20eXaNZC6HPWQ9zcNWH5xup1bWIMt3BtqwyM0SE5WTMySXIdS 75af/lM0OMt96faR8HWIOqoQZjRLAzobZUqxcR3uDsebitFoEGpC7LnB/hf0 37MI0ek0EAmZPt+q9xcO6t8erFygAYPhMiAU9RdYmCmfwpdpkGV54bvg9F8Y KjzlbPeHBkeHTWs0DTag3DnlmNxfGghb6rnmt2zAe9Edi5ubNFATvFKX9ncT /g/xrzby "]]}, Annotation[#, "Charting`Private`Tag$2600986#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjns8lPkCh4kKya22HNcdB8uGSqXo8q0VKrqhrVRSqi05uVRbU9kiOgrR LmNI0qCSNCraWsNPmgY1iJE7MaRxfQ3GkHhP54/n8/z5PIzDAe5HZygoKAR9 5/+W27ndeBsSD5MEqYbJgTpSExHQ01waD6Mc0x3FWbXkIn/rlpnGCbCV2IR/ fikipkpW2Ta/JyBy1WSAxWwREW5QU99TkYAt2jdm8c/UkLNXJP6hpiyoKVZb qI5VEyMiqHh0kYUzQQu7DSKqiWAqw6a2hgX3Bq2KOKNqErDmauyUZSJ0+KVZ 1sUfiO7FQ0PmoYkoixVo+R//QE6MGz5jLmbjx6NiDddbVURn5Ted9Gts+PkI mG7TleSfs02nha1s/GmfuPJgcCVRH2GtMI5OguP4wMhN/wqSv/Qsa1NnEmYK Rv39pULiHeghD3JIRu1fqxdVXBAS7oDmK74kGVo7nzHCk94Td0nkGj+nFJhe DmT7TJeTSfPf7vyVkoK3stGx06nlJOOo0zRvJAUec5f4SNaXE5lYsViTcwe7 Frz+xTu6jLBbLzjmT6fCvf1cs55DKdlgsDejbdddjCix3fN6BKTXa+VMlZy7 ONxATwqTBcSon+mbY52G4e5d7raKAhJwws5MoSUNl978QLRa+UTnCPdh5ioO eIFt39wEJeTYVaO9Dkc4qBmVSbz+W0IKODGqVbEcHIl/EGa1uYQc6TjpN97N wR/Xb69VqHpN8r0trFwT0pGm+s2zRFxM9uy9xx2SZsDk19LxNLciQjV7qnH0 MvFxMJNl2VNIrnmrHPVwzIRdicHjsGuF5LlvgN6L+EycYERG3XrDIxqn1kZc XHkfprdext12LiBvwxq9ZoU8gBJLsvGp/0ti+1h7loHKI/yxwcGPx3hO5tCh +12MuFDreB/6zC+dsE/s9rZy5kLSGBPs2c4hprVWPtqnuLikKww+9SuHrMuq 920u5MKizEuqtPEeeZXFyv/bJhebGKImzc2pZMCjn+damYs4m7gVriMJZNfD xPen5z7DlaPjHwz2niNmOwclb6LyELesTy5LYuNcpT3Yo6+wpUzosd05Hwvz tNsUFQmELou2fbZ8jRdiR2HVmhLU7z/7WldcihK/O/p7+/lICCla8m1tJWTm azVz/lOKM0yzBbOVajBjIltL3+wdWHpmy5QXfIQd7fPC44kQe2TGJrE99RCG L68U/FyFJeVSOed+E4zj+iayBj8gwaz6cmdiK/rkn9o+LqlBXs/JmeEW7cjo LXincVMEc331vrK7HdAwfEB1ddVCXrc0W0mjE9En8o+lmdYhx2l7R++hLoyt z+46frke+vvMdOZUf8YZW37egjcNqLqu1/W7+Rd8esKPqmY0waFrJGpdogST frW3LS80g+Eb8pOzQi8WbZg9faygBbbiaUunHX1w4TB+e7qwDYGdl/8sK+jH OcODJh37P2Hu8OIv1zUGYdW/a0791nY8f1EepO9FYZ7mkAr/azumzl8QpfsM QZnc5v47pQMMc9bGGSpSnFxe0KjqKgZv2OvF0kIpsjcfTisaE2OH4j5P8alh yPr0tLpZnUjxjzZjzh9BvoeLUvzGLowHbyyVlI7g8qaIu3ndXdAtutHuFjAK RuuWhvSIz7hCitW3z5PBYWV4/L9su2GRe4lp+1aG/UZVE4qibigH2gYYnhyD 7F2MODD0C3wCPB8PGcnBVvY+424qwdAMflOdQI55bfmcGXwJbB8zM0+fHMfM kFBP+6Ae/LhwPVvVaAIKWd5csU4vjq1TmebzJxCczI3RKenF8doGOpr5FYWL IlW0T/Wh6YbT88WLJqG9JdgqTKMfT7OyyuZXT6LF+oOIyeuHdZ9u9oaIb8hN hWmX9wBuip36Wq2ncIBrp204PYCkefnXX4mmcCXiXmjLo0HUNd/7khc5jRyJ 4W0NNwqBn7JjriyjEXknwqdtGwV9t/cvw+xoHHEfMHuyk4L8UYdjhD0NAx4v d+tuCtlFqVejQONG7D5B9GEKy8d6hlNcaRy3S5KqMSmEuDzaVOdLwyR8/qbZ 9ylssw41fhNPY3rVpbn1DykkG853bEyk0TjQWXM/mwKrTDdsKJlG3O7nB5yf UrBXZcWY3KNB/+x+OoJH4dqs6DJWDo2W6thUJRGFIvEaXp2Axstrcl/RRwqa h1YoqL2jEb/6oGV6AwX1Vbms9RU0XDNt8n5po2Bsv93xlYjGP+crykN7vvdi Ohol7TRY1itid/Z//ymsNXbpohEkTvFkUBRwPrmX+4WGW6KynlRKYfUYU8G8 j4aFm/+n4lEKpndL0nMGaSgr1mbEySnktFgobBum0Z6/2s/nK4VRQYr2D2M0 eH7pi5dMUZDOGxox/0oj0XiOjKYpDL1Wl0/QNP4H0WCy2w== "]]}, Annotation[#, "Charting`Private`Tag$2601033#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13c8ld8fAHCaEhISIpSkJZVRkg8iEpVVWsrIjswGZYSvECpESFmhbLId e497r5WM7Mx73fsYSfQ7v7/u6/265zzP53ye53w+5xE1sde9v4GJicmOmYnp /7/LsloBtc/CIEb+xP5o6R5E8bWf6qsPA/ea5G3XmXuRW4225mbhcIht7nRs 2fEDiW08+kXSNRw0Hvfd/DX4A7Uos7IZtobDvp9MPg+C+5CL56Stl1gEaK8u l3Mc7kd7UV1rmlsEZGbGpiUX9KO6tUTJTkoEJNgumyTKDyB7hRcha4feAY/A vWrIH0B8bsbz4l7v4MUL1z6mQ4PI6rdQzpPjkfDIoCN1L9NPxEZEyAgHRcEA k9aHyzCE8k+4RGiMRoH1UPiwoc0QMnqot+wg/x7ieIeuSEQMocy5HUU1k++B fpjW7T45hHQn/RWs1WJAVeJLhpD3MIoceHo+f/0DRCR0apuGjSBlwRuJgwZx YN+6S0chbwRN35TbzJIeB2o8tXpxHSNo7+wT0/RjH6GgkC+Yd+cosreSPcDU /xH0niY8VvxvFHGZZaYknY6H1XX1FR3TMWR441PmPD0RekPYTpCmxhGtT581 XiAJLqdqPmSsjyM/I5b7eueTwHTyTfcM9wTKNbUX+BaWBG/0TPgtzk0gDrtz vm5yydA5zrz/bfAEqvXuvbnl2WeYbcz9q3X4Fzr5decWQZY0oNTFQYvmJGqU rL3XKpUGb9wbT87dmkT3sh+XPL+RBgx1Bvui7SR69e3nw+G0NFCPLvlWHDyJ JivS+5K1v4CKlhOrOHkSfei6mH3i7VdA56/dKNKZQtv/ed1W35sJYoGqx5zO T6NIq+tGRy9kgk1p0bcknWkk1nn03k67TGioKxGuvzuNFFN7TPvKMoEUVHOs x20aFaVG5BdIZkFb4FNTqdxpNKc3W3qpLQuW47VfTeydQQYp75qd2HNgNfPm XeWZGRRzx1vLXDQHXrvR/V8vz6ARrgethjI5IOH9za1z4yyyf6bSfu5ODqSo bdx7SnAWvdSdo2xNzwGFHTBroDWLyv6q/IjWyoVxizZztbRZdECHOlkdmAf3 zfc9vHVnDgl4qMtbfMqDvauBZD6rOcSZ/jGQtSAPprP7PjQ6z6E/LHqSOiN5 8H04g7Q5aA6RKgqcBk/nA8/jrObpojn0VMpr/fd4PjQYMY4+5qaith08PJJK BXi8eK9QORU9ajsDkQtFoH9LdnV6gYY4JPPHG1mKwTzu9UHbNRpKfCUVtCpY DLxDAR2MDfOIrHWw10itGPTsjwzf2z6PjjTzOB2IKAavRw5fdwjOo5/1tOQc uRLgZbaKL1GYR+qVSRytT0vB7DfoWbrNo915OweZmRE48oVr9FDn0e2gVf0x XgRtJxxM/RnzKN5svLnuKAL9mPB1maV5dHRXUVGgIQKzau1qv7V5pOJ6L3xX FgIP31Nj69vpSDbmenLY8QpQuG56R0uCjoyNku+kDFZApolRk4MRHflo7omK mqqAkzO2XEXGdJQsG9oZsFAB4mtmCmtmdDTL8fTSA9ZK4DKbVHK3oSNXpH3m pGwlsKjyXTd4TEdBIos8pa8q4W/bRSbX13T0beR8S7tCFZCol1K9K+moW8OL /kq9CjonBELu1NDRUkY5r5ZuFVBzzZFMPR3JuZ0xbrCoAu5rrVsHW+iokPv4 UsWbKtBbDnbg+E5HRaoCIjmTVSDGaWU7P0dHpcnzTmFh1cBRze1Zt5uB+tkk o3TjqiFemPC7LMBAfx1tyjnTqqHumeWuTkEGOgcTLK9QNYyMMpN6RBmovKcv 1ne6GvwpAzOVRxgIsdTXuyrVAE9sk8w+YKAq69g9N2ZrwHY87tpeMwbKnbKx MVqqgdrQCEFpcwZKtJQvMWWqBf6AiEl1SwbyNe+5acdTCy0Ztu+sbBlIw2Tn +xcKtUD+IOcQ7sxA7Td8+TKCasGyv5I31AfHq/Fg18ZjdSDnJDnHl8BArfVn 77PI1cFGvn8J9EQc3wXWfHblOtDM3+bTkMxAcaqf9fkM6iC4rL/6YRoDmSgN vz32rA4U65KNvmQz0KScAZdhax18db472IgYaFH83I70B/UgEqFWmPODgRRH VOoDHtfDd+1uV5d+BvKL1fCwfFEPS5fjj8sOMhAvjz5tf1Q95BhahmUPM5As s037+5p6MLGuuxg6yUCP+yJD/Pc0wDX6BUPqIs5vyMIOs8YG4F8uvy+9g0Cq l/7UK3c2gNfJJx6FnAQK2sLkKfyzAagvxvLkuQgk9Gz7/I+FBiiLSnc9s4tA itb7SDoijRCmN/FQZA+BPFSvhsKjRjAUvMwdLk6gDStfOPccaIL+9AvOwgoE 2tOqQsDxJjgVR1vVPUcg6U+9XWZnmmCloWjJR5FA9y9ujc7QbgK3YHuNMSUC NUSZHFBxbYLiGGv7UDUChcjzy1vVN8GAULZx3GUCCbr7mRZYNcMhPY/7MXcJ JHNV6EK/UzP4uEdGxt0j0GWxPAnm583AKeGh98kYx9cyPKf5phnGy0VMP5oS aETw3OPB4mbQkvT7E2RBoNQyImgzWws4bPYMFrEnkOy/e9/0MlrA2pJFT+YZ gbS0K7zVClsg6Ian45bnBDKNFr4iV9UCXYeZ5buxQ+UGfwl04/Fp+6sdPAk0 ZX+Lf2StBc5PrDVHviBQzJCB+0PtVoi+svvg55cEypHM1zC53go8FyY2mAbg 9brz7NI3bgUf6/hgoUACLfJ1pMu5tEI1pbkgOAivR+fqz/WYVlCRljQyDiEQ c5WmyqvZVtg9LW7WEEYgPs40Do+lVnjjp/7IPpxAkkbb+h4ytcHv2iblXREE uvmn3kmfpw3YxBvWb78jUN5JtaQ9Cm3gNyp1YCCKQOYJwJIW2AYbFjb+9/ED gVp8pNvqDrdD9M7pRNnPBJLf0bzhtUw7FIoKylVgp0QZy91Sagd2rdRrGikE epER/JFm0A6/pyZAPxWP/z7pyOfVDnUauo03v+DxR2J3W/fg+d7Oh/ZnEoj3 2ykt6ZF2EDnxuC0c20epyXN9th30T0+ybM0iUFbaqvNFZhIc8GdWGscORBKD A7wk+FGYXhOaQyCVKe+sLSoknG/ht4n5BHoi2dZko04C1q+xDUzf8Hwn/nGS FgkoHOLRt7D3rmfyR18nQZmnJD97AYFWuAa8jz8gQUAEw/duIYGkDCViwxxJ EMEdnZWFbR7rVLDyiAQ66gtuTEUE6jzIOlvtTYJOBZ+laOwsBTkDw0gSXOx+ +19VMYF+eXnbl8WSQPGaYg1LCb5ffevLfQkkuLNRPEkbO0jHrHw2nQS+CTYG HdiW5q8PelWT4D8fultbKYHivvQrTzTg+PNTJ7aVEah7/uDtS20kOB/EtXIe W9WtPHRXLwkSM1N487CFQ2dWUqkkMDHKVfIpJ1C5sUdqDoHnv+Qry8Y2OsV9 o+Q3Cf4SsZyD2DHd8oUtG8jQy26seAoR6GxKm0XXVjJcbbvIfxv7xxOT3YNs ZChhpLS8wOYTCnCl8ZKBK0CovB27gCok/nsPGTiG+/4S2NcqsruYRMmQZmay a3cFgcJNe6W5jpBBt5a36wY2V5oEIQ1kWCbJRJKxs91K48+pkiFU72rGLPZV 7au6Fy6SIae+8eOWSry/5x9lX9cjw5tZYUE5bMmq7cb3DMnQfyQuSRu77W0c p9UdMlx5WsVmis0mV2//1IIMJiFyLgHYX1huCb+wJYPz90OPYrA1f1DbAh3I sEOW2TAde+qL9/MwVzLEqLPzlWH7P+OVjHUjw1nb2IJm7INX0gaSPMnAUs0k 14tdJ6L4KsOXDNpH/CLGsc0ZZIWCADI0qbp3z2Nvrrk/i0LIMGt/YvkPdmL4 SnRDGJ7fRvzeWIWfl8WrS+QoMsQp7+zfjj16WnS19wMZIux6PnJhe7Pmp40k kMGh+K06H7Zov8bNmRQyBGu9JQliV6T3b1tIJ8N9jv0KIth3PR4W/c0hQ/mX kIB92OtXN1ltLsT3f3OgdD927L5IPo4y/HwWpcj/t8LCkQbeKjJA3Vrj/8f3 16JHwvVk6CnrSf7/9dze6R2UaCHDh2uslkLYAla/uqXIZOBsH2Lnxy6Wd/M7 002GV4eSI7mxb7DtkFXpw/EdTWJhx/49ED+uOUQGmomE0Wbsd5my4XrjZGAV fBr1F+dD1qtJ9fY0zr/tWDEDu1vXaMGMRgbxo9lVv7BdxBgJDxbI8PXPoew+ bJ4lXz3XFTJYnY30a8POq+ff6LFOhrbdaucrsBnWyiahLBRIFX/u9BH7tULX zih2CnAGRP8KxpbisKr8xEUBsxl+VXdsu+xQkVxBClS9vlGgh83+QoxUIkoB 6XNpbeewv+oXetSIU6At92m7OPbM8s/BLikKWN4rCF7E7+c3i5AqTVkK+CqV sfVie/YoJqOzFMgy61MtweYtiH2QeoECBdvqxtywh8W1dfZqUaDirar2Teyv EX+l3+rg/53BQQ5bxfXWX/fbFNDcvn1uDu8f9gnWIboxBcJsA9Xqsb8bFFeb W1Cgyf3XzThsOxn+wKuOFAhoDi67hP1+oZtfzJ8CNj85bMPxfr5v5rcW+QqP 9xzNM8OW6pQZZn9LgYgo1bKT2HW5YSnLsRToPvqPvRnXC7qjrlxzLgX6twQW zuJ6o0Fv1Xf8SYFTl8ufLuD6xW387PSvMQpcTfQczcQeJB0VvD1NAS+dVU5r bOeswFG1RQpMHbtV8gPXvzj7i4782zvAM9jzWjqul0tzNSEVsh0g9tl0Zjeu t5V3nJ1kFDogXqe1BuH6HNS6/3qacgcwdvRYmGPvS/feG6bVAWZ1q9uz8gik bauUbmHSAYX8HZ3SuXg/TZc0cQR3wIThybRNuP7bvbuy3/ptB/wnYyEfjfuF nOqoW21kB9x7sJQghd0Uy3rMPaEDgptkNhlm4PVevREyVdgB1L8pTFFf8Xml YEmvZrQDpL1OiI3hfsViFvBVeKoD6tuzrCyxKZx7N7tRcbw/CoNmcH+7b632 7cRKB1RdtbClJuP4hcL44jg6cf26EjWRSKDeFycGnpzphACOo8MfPxIoXqpW pkuxE9QV1YW4sW0HDIOlVDvhHf+YvE8cgZjkPOHX5U4I3/R+jynur+LTbZ/0 zTrh1KaMJ9wxOL9Xbc2Ph3TCzqlXA4q4P3MIfaaNjXXC9YcjI5W4/ytdezEw OtUJZm+7SgSxHUPuNo9QO8FVev2TKz4vdDPzfR763QleW5MiDuLzxIcJf6N+ ti4wZJERf/4frqdZ1q0d0l2wcvzK5nUvnO/zkl+qfLqgVHLnwkVXAj13Z42q fNkFQ8dmG/xccH/Ln/CrCO4Cktn9rCpnvD8l4kzKI7vAg7WnQM4J1xM2ToHi r11wQFUqnfchXm833T+7swssXAQNUqxwvqzyzT+KdYNJaVzGntsEmlZK999+ uBsomjUCErcIpM6XlOZ6vBtqKpxdTt3E58X6MKqWfDdkMOSWLxjifi7m7Lpy pRveRzmfMNbH9ffnST9dt27Yczgj1USLQMoGWUmbKN1QvnZ78v1Z/P4pfRmz 9OgBrc1lgtO8BCpNnIl+5NMDZDKbagM+r3qzHNXze9kD2Y7P/JJ4cH5JXysT 3vbAqVOKd+7g86343YwPg597cP1KMKhix/3tWbahPqkHLqhSgow3ESi/qKAF RL/DFulbE4vzDOR8siaPt/o7SCU89HavZ6CfGTWBZNEf4JPraFNjzECr1p3R h572QYCVh7YblY6OKG9dNy/pB0UXTgFHFzpSjxe1yN49CIlqJhGlo/PokdDd fcO3f8JSpl2v/GX8PThrsL1Hewj4TkrelDaiIe4d8yw1f4ZgbLxfp3NyDm1C 0Zn7Y4ZBNeLh2pDDLLKRLunddmkEzNPlvmiVT6MvF00+li+NwGw8y2TqwiRa nBHgnIgYBXc/pVVnyV8oX099Y5jqGNjd+r4R9o8jDw3fuLyJMQiyGbu/T2gU iQ5ofk/wHYeWxBp13U3DSF7OJ4z/JD7bfV8cXJUbQLf3tq8wd0yAiJ3LBc5H 39Fi06uRh16/wF2c6bHNhg4UucnIWVdsEq7y6j9vPN2MuAfz4zfUTMK9c3Hn 2TZXoM3PvPTPOExBxRtfkslUJGJKNcoc4ZqGoc86jAi7XHB8n/mKq2oaCv8M Ci+G4++OI/4sO+1mQJBqbDJ8EO8TTcej3hyzoHUDva7e1Q/9x0gdT0pngelN ZXZu6QhkfQCxMaM5SBltE4x79wvuZMruFFqfAydfV3ScmIVvN39zkJiocEj0 FdrFNgccW4rZXmykgrKVYPf2A3NQcfscyxQLFYwOJFVKXJ+Dfayq//K4qaCo 5bPlUOkcTJjpzGkdokJom/eNey+pYCdg2+iuTwX3+BNm3XzzUFd7rP74dSqY 95xkeSA+D8IOtJqRG1Tojz8ixCE9D6R6xwqNu1Swn3m+an9lHk66PCngsaZC TZuSZr7fPCy3+yV99aDCU+Ok6DvL8+Dp+8mrP40Kz/WvPvszTAf2R1s1jdOp oCT2XoBnng7vLR9wTWRSoYH+QUN+nQ65l84k0PKoUKwiPvJVgAETO8k1GxAV WJ3y/knqM+DSByaWQx1UqLYrmGtoZABvwd1gl1UqpH0l57yuICAhpfbanzUq OJ6XOh5KIkDq/RFhDyYa/PfhzIVPQwRcfLac6b+ZBgEiUtf/Mi2A+/kQcvQO GhCfZGZiVRZgpL2cp2o/DQYPWvl3Ni5A+qRQNIcWDTIe1hlXTi+Cf6zvvcHL NJA4EP9p9d8imOnOHcjQoUGQ2ZMtRruWQLC0NEv7Og0uq8XwxyktQUDIrbog Exr8PpidfTxqCSxlo+isT2ggwhf8NE5vGVRnmAp+uOF4RG85Ttksg/BHS/e0 5zRQ3xZ30sFnGbq3nd6q6UODhZI7oirflkFtoFvwZQiOR7VnyyGh37DPh0dj azINOuSTigL+/Ib10+7sPSk0WNYt+0PsXoHeuVFK8he8HpHT8e0yKxB6PffO hWwaRNxOf7TouAL/Dus6+ZbSYNiohLucWIEfP4tOGyB8/cANwm67/sC3MNF1 sSocf3LS02m5P2C3Pu9fU08Dd5VYOy6PP9BPDvmwsYMGYkF3j2ryrUKh37Jp RxcNphenjxoqr0LY2buHEr7T4NDj/OgCm1W4lCSZpzJIg6EK7bRNtasgfjPi CdcwDbJ11sz0FlZhw451xZFRGvCaCq4UH/gLxY9bG72maHDX9KmLbOhfiDgm E6IzSwNn6yNnlZv+gsNIjL4ojQYTC4v37VnWQOvdJgE6nQYt1xbXui+tgYSW 7c+KBRpcy2dO2RexBpuYOxNDl2mgbDfmIjK9BkP5Z63v/cHrO/z6vIb2OpRa JxyXWqPB1uzXOgWt6/BOePviv380+Fu5pTVl7R/8D+5aXlU= "]]}, Annotation[#, "Charting`Private`Tag$2601033#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVyHs41PkCx3EybZaNqGeVSEISIaeE1Mc52rWIDtJFpdmSok1JSqUL25RE dBJKIRm3qSYabA19W005JJdmGLdcpsHk9ptZd8nv7Pnj/bye52144Lj3oTlK SkrH/+7/Gg9oZP4UmY03JtsE1YpPhKv7xrPyXjZsWjwrdYLbCcPBht7zLhtH C8Y3MA62kV27H3LlimzsmswX+mW3Eqptu1qWLhvap8/U22m1kqv+qod8nNlw ZKh1sRNbiF43nzB+Y6PfqcrcQr+FPD94XLckiQ3B8twtSc+biVvvivDD5WyI Vvpl/NermXQdaapb3MuGzPoPnV3jYqIRsol1fkMOTmZdvH/PU0zYcnmnBTMH 8b5zPfqUxMQxLNuhIyYHHhnC85klTSQ4Ql3u1JqDrqBV18Wrm8jb6Ba/7y7k Yvged2DIspHsnRtfXMrORdqViayUURH565rTgqDaXJz+YUeQkC8iy+Nz3743 yMOh/JaiRE8RiUwJt75VkYdh9+CKx9FCYvNY6zs91QJIBkPnF+l8JFWWb5kf rAtgv2WEwxlqIMzCCP7F3QU4Z76n2UXQQOJLOk90FxSgJlrV1COsgcheP2nL 8eCgk58R1yeuJ+mNroVrbz/Gmsal9tEhdUSdjtrrsoyLjhW3jvmeeE9Sg3b6 W/zMhS5b+sjO9j0xFlkwtUK4UMu/oH1zpppszhcfbCvngs8qt2PFVpMX+cnF pZbPoPmA/Y3JqSJDPoNl7rXPMHffzXH5bCXxzUt5Hza/CL62rj+kdguIidew 7M0NHnY8lXmfKHhFdC+5OBx+yMNM/0xA+L9fkQVPMm+olfKQNxt0RzReTqZV fSy9JDww8qx97m8pJ/WvS8M67IrhtEnEt5LyyTnrqNnJnmKIkq6nHLN5QWo1 Fy2ydCpFwJ0sy1gGj5yptUfq6AtEeivfecDJJjo8rQ5lZYKIJcccY6xSUSJx rqlzrEBctyv3/doSVAQ/WLp7UAD7RawPLZcrMLZyk+aTY5VoUExuc9epwpwp zoKlJtXQEOgsaZ2ugy3NLPF5WoNVa//s2a8vRM2VdbXvVv/9/Rp9EvWaYJA4 MJU/XI+Zc2MTPI8WDEx0djRaf8TwRU5jpGM7svv51Ro3hShzbk5r2N8JDf1c SioV4Xb4kbCa9d2ICyoOzDRuQvTooJV2ugTjThzpkUtizFuveaPEUIpTNgLe j2+aYW7Uv37O9R50PhXcaDBshedddveoeh++BovSzM61YWbxx1gBSwbzf86b DeS3I37Jw4BU6Re4ZBkeLtTpQNEUJyRw/wDO6O9f0b23E6smCpmVZBAWg77q Yo8uBKuY7zVbPIyFmnJVwXQX1Jjr+oriKDBIGtfofjfcCiIs+WFyHF3Hb/ne XYIKbY6pnZUCHNcDma/GJdCQFDjJehUYG9Bd0Jv8GSd0vUMVt/5CsY+LStIW KfovZ2eauI/g0i+sDF6vFIqV+ql1EyMw/OTW/IjVg4ivlbW9maNw2HAlaYlN L2L5zFH7XWPYu6xuSlnYi6c23yzNVMYxVh0vORHVB/d/BB09UDaOVIb/KW9j Gcx4nhmeQRNY2FGcNUcgA4/n5dqiPYm5F6K224d+weumneV11ZNQyvfnSrT7 8Vk/2in99BRO3uPGa1f040zg4Qjaehrl5jGqWiEDaK8+5u8im4aW20mLaI1B 9IiNnB7e/or2NfXCs2WDWCp/uZnhOYNn6TCW+g9hu+Nce+HMDPZxbbX0Z4eQ tzFjq3f+N1xmPYxqLxjG50fi0NjAWTyR6adpbKVwvELnmlyXRswDFrPDk4JP qa+eyTIaAd5DJk+9KNiUXgv1M6ShV1b2zGMnBdUEg+OVpjRiE/a8iztAYUGs sxtnHY0jtncVamcphIv3yDM8aay4suiXeTkUpk2T0y78TmPWLnK+OI/CnbzF Rq1XabQMff6Yw6EQ0/ifbrtYGok7n+/7uZDC7wbPzn5LpEGv9g5jlVEYD1If yUmn0dr5ws6XUChM2KmyJItGSZLhrHEFhZtG3yfcZNMImZXHCCopiAN/Wsx6 TKO9ISFdRUih2Izbl/eSxh9XJw4KGyks36VfhFc0kjbuN3vUTME0rM7w0580 3NmWvH91UKj+9KuyVRWNlX7JZ7W7KQjnH2T21NCYozm7WfKZwo6p6/ty6mm8 jPhQFfWFQmBxK7Y100hesz7Ba5CC5EuElmM7jVDJ/e2GFIWM5TFDm7pobE1h 6CoUFLRNPzD9pDRWbf2t8/UohfitDvK7MhoMZVF24gQF84VvR9SGaHQVbwxm TlNw3sAMqFLQKAt+ZGX9jUJs0qlI/QkaKQbqYzRNofF86uQITeN/O0GvIg== "]]}, Annotation[#, "Charting`Private`Tag$2601080#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13c81d8bAHCKQqWUhChKpZKkIhoPvsouGWVFVhkZIRQSIYWoVCQtI3uP zGPvce+1GjbJvOsjO37n99d9vV/33HvP83zOeZ7nilo46VivY2FhcWZlYfn/ q9gU96eL3vHQmHinflN1P8oUrL5c/y4elIQjcnsODyI2eek147p4sNg7pVCc O4gMDD9n0hnxUEri4zYRGEK0X3pcXwQTYLHBrrnGZggFmXJY6/6XAF2Xcmi/ MoaQ0FAJYruTACIJ6a4m1CGUa+kkWBCZAHuaZIWGxYeR+ti+e7fLEuCC5+FS D7NhNGjT3c4/lgB+OmnMrpfDiNvxfKCXbCKwW0XJjTCGUQKdPiBxMxFiN/i/ uLhnBJ1zjZfvD06EBx5t68ZVR5Cd5ya6ws9EUDGbb0iPHkG1/j+MNvh8BTdG 2j1CYhSZsIflFyZ8hQrnPmvjK6OI+URhm23bVxBc+LGR4TyKRMK+1jbvTYIt V7rr+7JHkffbe1IvqpJA0FxQevHobySdxrNBiCMFTmflfRPmGEONkrU3W6VS wEO8L7BNdAzdzPYseWiYAhyMTNcDZ8dQWMGA81BKCnTkxZ3suDOGxivSfyVq pYLBTycLv5Yx9KFLLfvEqzSwZAnku+D7B21a8zNR2ZMJtB033iWWjaMo2+um EpcyYbPUOt6G9nEk1ilxk8cxE1ZDc9prh8bRheQey19lmdAlkFBlwD6BipLf 5BdKZoHUoJwWVX0CzehOl2q0ZUFviLufPmkC6Se9bXbdkgMPnaT+ytVPovc3 /DVvieaAksu872DXJBre7tBqcDoHyju7Le+OTiInH6X28zdyYCdPnKYu6xR6 qjND2ZieAzcfpQ/vkZ9CZStKP2M0c4HHZO0+V9IUOnCVOl4dkgeVrsW6n9yn kaCvivztz3lAqcjM3RQwjbalfwrhKsyDtDMHhK1fTKMlDl3Jq8N5IK2YUTOc Oo1IFYWu/WfyQZlFHrgHp9EDKb/Vhd/58ECoZJf6xRnUtpWXV1KhEKSnHrXo slFR9XkHa7J+IRTe2VLXvJWKvtnXFbjZF8Kkvcg5md1UFFfvaVjyphBOPBnn GDlBRZ6+fR9UZwrBaNBr5YMpFe2jJR62fPcNkuylO/PzqcijTQ6iZovgXYP1 2yUjGuKWzP/dyFEMOdqNBRetaCg+TCp0WagYFrt+OD5xoCGy5qEfpheLIanb cYjqS0NHm3ldD7wphj5FH50r8TQ0UE9LzJEtAemHwnPmUzSkUpnA3fqgFFL8 VCgv5OioX0Q0f/V5KYS1OJ1NP09Hbo/eG0vFlUKSJjOrRpGOPsOrpFfNpXDv qmDXHzU6Wi57pGQkVAZcqa0ha4Z0lFls7P6nrAyqJwJ+et6no115PP2srAgu Hbi6mp1PRyahy3qjfAio8dm9CUV09MXqd3OdBILHe41KXpfRkcTOoqIQAwRW HcGhtrV0pOR+8/XOLAQhpTtZhzvpSOb99cTI4xXQUJpwQJCgI3PTxBtJ/RVw vyt7ukaCgQLUd0dHT1TAiZUJVUUpBkqUieh8NlsBfDmpR4pPMtA09wMNB65K MJmTDPssz0DuSEtOWqYSLPLVT6ioMlCoyF/e0rBKkP7FPk+3YKCC4f9a2s9V QV563P6u1wzUrerHCFOpgiiiR/tnFAPNZZTzaepUQXekblBvDAPJesmZN9yu giO0St7vnxno247jcxUvq8AhrYMjLZ2BipQFRXLGq0BknfzTxhoGKk2ku0ZG VoO48sjAFJ2BejdLRut8rIYnTrfG3hAMtOJiX74tpRqklNsVYY6BzsMYRxiq Bq/wX2tPlhmovOdXbOBkNaxM9nYssjMR4qivd1eoAWrA2aSbgkxUZRe723C6 BviuOZarKjJR7oS9velcDUhxu03d/4+J4m3kSyxZaiG9Y/NK0kUmCrzVY+TI WwvrNRNaWdSZSNWC593jc7XQzaw0fKvDRO2GgfwZobXQrl+uZm7JRL2qDjvX H6uDXwoP6u8+ZqLW+rPWHLJ1wGm4sM4ikInKL3Hlb1GsA6HwMQ3tJ0z0Ufmr Hr9+HXx1+cV1KISJLBSGXh3zqQNNmopp2UsmGpfV327QWgcutw+bPf/MRH8P nt+a7lAPIoGTMY1lTHRhWKn+mWc9KE8edvqCmCgoVtXX5nE9WNyeF71fyUR8 vHq0/dH4/dsOR0VqmUiG1b79XU09rPtTxNBrYSLPX1HhwbsbIEWaam30k4lW wme3WjU2wO2tbTZ9s0ykrLFUr9jZAFEa8NJtjolCN7A82jvQAKbeGZWcC0wk 7LOJ/nO2ARSl6TKSy3g/dvtIV0Ua4d2+N9FmrATyVdaOAI9GsGOmHLfeQqB1 i6nbdh9oAo7T+/vWiRFod6sSAcebQMA+aPjiAQKd+vyjy0quCRzVPTWeHCSQ tdrGmAytJlgzE9ZgP0yghmiLA0ruTTC4SuGjHiNQuLyAvG19E2w9aRnsKksg Ie8gy0LbZgiwrpnRUSPQaW3hS72uzZAkQu2wVCfQZbE8cdaHzTCX2njKVQPv r2VoRv1lM3zlUrUN0yLQsNB5z/7iZui135WVeZVAyWVEKPvmFvj7xkY1zZBA Mms3C3QzWmDz7Q1Cz2wIpKlV4X/xWwvI+mUfu21LIMuYvVdkq1pg4WBer5Id gSJk+/8IdrfAj5Zl3jl7Ak04GQsM/2uBl/O7VjWcCPR+UN/bWasV1J71ShTc I1COZL6qxfVWeCc/rO/jjuP15t2pZ94KbIp0sf88CPSXvyNd9l4rKKpBYZMn jueq9sDq+1ZYR1UqafQiEGuVulLYdCts5uHOe+JHIP5tKdy+c60gszHWS86f QJKmnL+cWdqgbsWCMYFttFTvqsfbBqPo+cSlAALlSV9M2H2uDW5GHxJkBBHo VhxwpIS0wUFx6viGUAK1BJxqqzvSDqxn156efU0g+a3N616cbod3pNcR7dhJ 0eayxgrtMBwls9viDYEeZzz/RNNvB58dPeX+b/H67+Mu/H7tsJ1T9kpONF5/ NHaXXU873P9Su7U5lkB8BSc1Tw23A5ugTbTKBwIFKDQ9Wp1uhwmFnswq7KyU ZTc1VhIwG+QC8z4SKASJ9/fxkUDBsW4w6DOBlCb8szYokUCak7t9LJ5A9yXb muxVSKBTvmipmYA/7yrwm6RJAqtWelgW9p7VTIGY6ySIiFz74pZIoMXtff7H HUgwF+M1MPWVQFIG4rGRLiRouvz5yKUknI9Y18JFDxJ0m1Vzf8TuPMQ1Xe1P AmGd6TjNZPz952T1DaJI4Lt2cevbFAL98fN3Kosl4fNYd3wMe09969N9cSSw 7OabOZlKoNCrVuXT6SR4eJpToRnb5taLQ37VJNhPKOtNpBHoY2qv4lgDCWo6 DW2OpROom37IRKONBO5H5oScsZW9yiN2/iDBkdIoWwb23oipxWQqCUK/yMSO ZBCo3Nw3OYcgQeK2E0v8mQQyPbnDsGQB5ytNRVwL+323/LeWdWQ4/Up+MRub X/iZO42PDNlT5z0dsghUSBU+uLCbDHqV+2yisa9VZHexiJLBdNfq0Rrs15Y/ Tm0/SoYHyWtSfNkE2p4iTpwCMtx3YcilYWd7lX45r0wGpXtXOtqwtbW0dS6p kaGU0/4/OnY43SP7ui4Z+HrPJB/PweezapP5TQMy/DWK/qiF3fbq4zbbG2TY Qd3haIe9Wbbe6cFtMuSlZEV+wk7lMN77+A4Zvjc9nCnCVv9JbQu5SwahmfK9 FOxgHz7JWC8ysHFN8qxhH7qS0pfwiAzOxQ8pO3IJVCdyISwjkAwiP747HMJm r7GeRuFksCs/JqOBHf96MaYhkgwn15MsjbGVb4dpkKPJIJ8b5GCHPXJGdPnH Bxx/f7yuJ7Y/V37KcBwZnK748AVii/aqGk0l4fyFWBREYFek93LOppPBgpJ4 MgbbzNe5aCWHDGIi75/HY69qs9myfyNDwdHI+jTs2H1R/NxlZOCwGezPxT43 e7SBr4oMR9konUXYvbXIY289GZ5PFSWXY3u91T0k3kIG1brxG1XYgrZ/uqXI ZDBezGDUYBfLewXJdZOBnmhiXYdtuHmrjNIvMqRkKBb93wt9X36rD5LhR3r6 TC3220yZ17q/yVC3Rlv3/8/L+DUpm0ySgVl2fbECu1vHdNaKRgaDipPkUux7 Ysw4h1n8fGIpzwqxeecCdd0XcTyp/gezsfPqBdb7rpJBZ+1FfDK2bnR6zpP1 FFi4c5n9MzbTTtEigoMCP4PZ1d5ivzjXxRO9hQJiX9mcQ7GluG0rP2+ngFJv 1INH2O0DK84puyjA94/b1hXbMTtCJFeIAiofc89aY295LEYqEaWAi0AHUx87 Te+bb81BCtg8Lnp+EXtqfqC/S4oCoVpc7qLYBbfDq9RlKHCKkbVlM/ajnguJ 6CwFJH8tGv7F54evMNYh+RIFGv1oPDXYQwe1ru7RpOB5w/Ahvmgo7c3KqVdX KaA3O/QpDFvJ3XjF24QCzolVnDrYW8a4BhnmOD7Tbm1p7O/6xdW3blPgVo/P FR5sx9MCIdouFNgYu+TWjO/Hu9luAbFgCkRnlNhJYVtbBf2LCqOAcr+v5wZs qc7TQ1teUWC2IE/hF76PdbmRSfOxFMgZ+s7qh81w0ZFtzqVAsGqXdhm+36XD rLsViijAKzR19il2kE72al45BWqj5Ed1sYWkt9V9aKTAJ5XfDr9x/VBltOq5 DFCAs4vmuIjryw5znzN/RvF+bY21SrD7SRJCJpMUqDItmPLCdssKGbn4lwIP s8JtF/9fv5zUXAQ2dYB3JK/rb1zf5mZqwitkOsDj/PsN/rheVt5wcz19rgNK Wyw3SWGHtu6/nqLYAVy5l7t6cX3dl+6/J1KzA94XkYuksbXuKKTftugAliHd tnZcr+MnS5q4n3fAzpOf7NrjcP7eXtlv96oD1qSna+yxZZVHvGqjOiBy2+PZ DdhNsVzHvOM6IPlAbqfcF5wfbcPwiW8dMJi4/OnFJwJdKJzTrRnpgOUss6+c uB9xWD1L2zvRAf2rJI9X7wlE2baH3YvaAebTC6JC2NZ2FwtOLHbAnUBftiMx eP/CkfwfuTvBRGqA8wzubz8en+i7L9cJCtET2sK4P36Rqj3ddaETvEgBvZGR BLrTZ/BcSrkTHllxXNqEzSL7CP5c7oSTLq25sy8JdHCy7bOeVSdk/rZiLY7A +dW+c+t4eCcc96h7z437MbfwV9roaCccOOvwdAj3e4Vrj/tGJjpB/XkXXQHb JdyseZjaCfMHUyw+PsL3lZX/6+BCJ2RUX7tl6EugD2PBpr2bu4DUPMWs9Mb1 N8uuteNUF/DW/FOzxvOG1n+SqVUBXSCvJSb1//nloTdXdOXTLvgwWXRBFjsr fyyo4nkXzFHtb3jgeYdX/KNFeVQXDG+mNM/i+ah38zbB4rQu+GdueHfUGsfb zQjO7uyCPHYftrdmOF+2+bc+iXXDnYAvDuo6BJpUSA/edKQbvLIEhYzx/KXC n5DifrwbItzuFdhp4/mxPpKqKd8N6p/eZQZdxv1dzM198Uo38J3iKcrG892t AekgHa9uEFZ6qdupRCBF/awENko3JKl6/dWUxudPIXXUxrcHVA5f7t/Jje9D /FSMR0APXNbd5jy/GddvDgndoKc9UHRtx+7vm3B+SWmVca964FuGadkbTvw8 zDI+9H/tAXf+KBlOdtwPfbIN9Eg9cOt88q5qPP/mFxW2gOh3sGtydgoZZyI3 6Zo8vurvIK7ntuSG5/OBjJoQsuhPkJ9SjnpoxETLdp0xhx/8gpcF4Vt7/zDQ UcWNq7dKekGpyuWjiRMDqXwRvZ29qx9WGvjlJPrpyEPYbN+QyQBwvI1DAvj/ psS0/qYerUFQNj5gUKhHQzu20jlqlgahadCN4B+cQWwoJnP/+yFYlWavb7Sd RvanSn5wagzDNZmprJ6CSZSqZvGpfG4YjI49NaibGUd/pwS3jb0ZgZqzpqe5 xf+gfF2V9ZHKo2ClTxfXF/6NfFUDP+aNjcLNIfPH8btGkGif+ve4wN9Q6tPO I7s2iORlAyIFpMdgwaLcMEyyD5nsaV9k7RgD7xdpttqO39HfprBhZ78/sALR ITeWKCiKzdRNR2wcBjXH+P4cbkY7+vO/rKsZh5uu76/HUBFi9/HTk7s7ASxh 9bt+BkQhlmTTzOHtk0Cy0Db6EJgLLu8yw7ZXTcK3e+EfzT41QNnRYA4exymY lU6ujJDoBB51Fwl/7mnQE3TwXxDohd5jpI77pdMgXqCmGlo+DFkfQGzUdAaq njHfyUX/gRuZMjzCqzOgWax+JWR2GgqMFrhJLFQw7o2Ucd4yA9wbijc/Xk+F Zen1p6wPzkCFyXmOCQ4qDJ5UnfY1mIF9XMpreTuoUB7tWedVNgNjVldnNA9T oX3eSTrlGRUcBe80eutRYbtpvKKLAB3qao/VH79OBemGEh2OQ3TYe5dWM2xI haU7zzqTTtGBVO9SoWpGhX3kmhBObTpI37tfyGtHBe0jh59qPqHDfHtQQpov /n0vjSP0eTo8Cvzs15tChajwzw6PhxmwxWOjunk6Fb6puHq+pzPgnY3D9rFM KgT3fN1RtcqAXA25OFoeFVqO+wWd3M2EMR5yzTpEhZlWA51cPSZofGDhONxB hYPqqs9Um5jAV2j2/N4yFT7/2RG2sZKAuKTaa0v/qNBkNmvDTiZA6t3Rvb4s NBAEWv/OIQLUfOYzg9lp4P11S5oT6yx4/xdOjtlKA7qPRDb3f7Mw3F7OW7Wf Bs69R3kUmmYhfVw4hlsTr4cTP0Sn/kJwbODN/ss0UHvlpm7MMgdWOjMHMq7S wK/HbKB05xwIlZZmaV2nQZtzyOUVhTl4Fm5cF2pBA5nUPWFPo+fARiaawXWf Bo80rHWYuvOgPMVS+NOLBlzHRM3P3pmHvZ9svFMe0kDyrrRMVcA8dHOe2age gPd34qfKi4J5uNjXLfQ0nAaaoazX3IQXYF8Ar+rGRLzeIa61dWkBVs94b+lJ okGyps/8af5F+DEzQklMpcE1kY+Pt8ksQsT13BuXsmkgdOjEzlOui7B2RMc1 sJQGKqxGM/PEIvwcKDqjj2jQ/k+1KHfnEhREiq6KVdEgSHFru+iZJXBcpQfX 1NNAIq1HVMV3CXrJ4R/Wd9Dg9HdNmfv8y/AtaN6yo4sGB8865AQqLkPkWbPD cd9pcBKdjxixXwaNBMk8pX4ajD03vHqsdhkOGr25v32IBoOpHRoPZpdh3dbV C8MjNNih93rT4IEVKPZsbfSboEHoOYXX1yNW4M2x0+FXp2mgk3ns5M2mFbg7 /F5PlEYDi0N83KEc/0DzLZsgg0GDlJ67+xka/0Bc885AxSwNXl6v3ij/5h+w sXbGR8zTYEbzavapyX8wmH/W7uYSDfQ3WtUZaK1CqV3ccal/NDj+dGSlqnUV 3u7d9HdtjQbzGZtHk/6twf8AefyEyA== "]]}, Annotation[#, "Charting`Private`Tag$2601080#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVzX881HkCx3GkKOVXyp7CY0opSVY/6Jd3zSmtsXt+ls3PiMqVklpxpWbR tkU6WbrITal21ZnxY8bk58ePKVfk988ww/iZH/NVGRppvrf3x+vx/PPFCDzr FqymoqJy6c/+b5JdpeLWCy4SPbNsK5P7iVhh9PtgHRcqnqa5O/r7yIXL9aqp ci5mxA2FCtc+okWzfRxNeLiouo3JkEjIvVNH/CwP8lAR+s+i00wJMWu1DNAL 42Eyk18vKxaTPHu1wJnfeDC7O0/G94uJfXZHUHcZDzeTy9emt/SS2uU5wRVD PByT5/2ScaaXWKKyoHlRLlK/HVbz0O4lRdmpAqFVLkKzNlSk+fcQFX/2jmfM XDDDbDY81O4hBw1OCzMO50LeY8jcWtlNWmL2F7FjcrHUc5OZ95ZuMuk+Ucqq z0WjeazdrPk7sm1xx157aS6M7OeSu8a6SHR5Zbn1TC4Ye3ifPXhdRGNjWsUK kzyEMVxis/Z0EYZyv0hyJg9eq2YmVoV0Es8/0mojluXDy/yib+xwO8nw/dk5 hJGPol6PLTNF7USqf+at1/Z8hI8uNNO+3U7OXmE27PXNx50lKb/o27WTX90m mzVy8jE6qTlUk9xGyuaZ79KdCxAT4VJd7ddK1rnKRqtv8TERxF4dv6uZGF11 3HXiIR8BXkuHKcNmopvDubVEyMdk4qGSR/ImMqfpbuUq5eOE/ZPYrrwm0lgh jBDbCWAVKNLx29xEoq3Zys9DAkx9U1wVv6WR1OsYGFjtE2IN90He+rw6Elm/ E/emi7DdfVGLpcUrom0lGHqtWQzlxIBq8fxL8jjROuHL6mKE/s3z6dmGl6TJ 2bzL70AxTiR+9nG7+JJsqjWIWJdajFV1Xt6jVSIiqaGe5tuWQGL/kTV9vJo4 Vj7RfhtdCl+LweOdlRXEkK8nVlUlcDMKKotOF5JC6V/rGvZUoU+YaWw4fodU hT5Y9eOECLpTqc6ckWzI1+/VyTlTA6/wtYaXhkqgpniuu2rdG3Cac/YoHr7E Djqg0J1bB4Na/8uc2DrUxW2rf2XRgPOa11OY15tgemdckS1rxFKvF0G1ilaM z0rEbdbNMFh7fUZu2onHYyVvtG+3YCymuf1GVDe0jX+nBgdbMXY0nlsiECPh lCCEY9aOup9Ufhrr6MPMvueDJ6924LTmlEHYOSku2Ij4K6s7keR7t0z8fgAS ruhWE+MdYuTmyp1Xh/AltDV9Y3Q31ovCkhcsGcGm/RrKkJIeOI/5s1oiR+H4 iHEiz1CMC7e9S3TUxhBp7L+m30cCXpglz/LcOCwnPLU6vu9DpH7CN5FtE1iu M6UpmuvDiP3ysxeOyKBO0nlrM/rh1P04y6Wcwt+3lXQtZkkxJtAK+cKZwvPv AjnlM1LsbjB3zff7APm4ke5w6gDYNt+936rzEQJ3xwUpDoNwtV561qb+I64e iv83f3gQJYSlY37tExi9Tp1Z8UPwCbeNP2I1jV22cSl/sRkGxyI22mR8Gj4m DQrVlmFYzL4+sSJdDvmbROk59ggy3+d8Ff44g3vqfhfczEaRbWOxNEdrFsvF gkdqolHcnN9rsqF4FguvsD12hr/HD8KSVHbkZ6hk+/Gk+mNQsfX2C96gwPn7 vET9qjFU+1z9dGxUgbJNNzT1wsah39Wt6vpkDnpO5y1/1p5AmmA6hHH4C3o2 N7ZElU6Azvr2QOnKeeRmwmzQbxKbTcKTSO08fHk79IyVk5gp/I0zEPMV1+If snueySCM/c/+ow5KLIvUcDqWIwNd9IDl4KjE/ZNn9Id5MoxE3c+2clKigLUz i+LLkOBAgtVdlBjWaxKpERkcnmjNF3grwcpU0dzYIsPbAvcHZhFKrBT63774 RYbGyw5THo+UyBk1Ttd2ppDDCE7wUaNx40F8gPgHCqcK76ZUL6Rx3G1yHdeV wtEKUrppMY3VpaW53x+h0H13xU1ah8bNJO9XCYEUXFyvyAXGNE7u+NeHJVEU JprLbEN20nAYVxG++wcFKswtdGAPDVPOycvPYig0ZjADAvfRaF9sp+EUR+El 268l2JHGgd721b8mUejU/SSI86SxJs7gkMZTCm0Npf7bz9NQ2l1e1vEHhYXa ZYc7L9LomhxofvqcQunJIE5MFI07Rwp8D+ZRGI7R7W27RoO2cIuIL6XwQXdh DT+JxjtJkZ0nocD9aLbs0l0ahSkMpVkVhfkD3IR9aTTClFM3RDUUyouThdJM Gj1NSZkLWij8t79hcxSXxovrs0EtbRRuieNuR+TTSNntvzGrk8K6xeUjkYU0 WE+s+EwxBUOX9NVZ5TTWH02N0u+nwJw1ldRV0VDTUdpLByhsj+tJWlRDo/jS 29fs9xSUx9Rd+Q00UjdvT3KdoPC0OVW0pZVGuDTDg0H9+WM1vX7TScM5Td3o wwcK1w2D+Im9NDY4n5ZUTFMQvLjhHC+loa7a+vjOLAX6cbJhzQiNPsHu0IA5 CnasjGVXJmmUhmZtsf5K4Z7m1sTl0zTSTLXkNE1BNmermKRp/A+vfvuc "]]}, Annotation[#, "Charting`Private`Tag$2601127#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13c8V10YAHA0SNmSsiK0JHlFFA8SEpWVVcpIpagQCtleMovXCKUIKXsm deyfzN+wkpEZ4reuZIT39tf9fD/3nHufM+7znCtpf9fkOhsLC4s9KwvL32vs ibrlyKoCqI9qPxRZM4qGl/fkTLQXQLn8jKPS3THk4dvJmvirANZHlnXzWMbR 9o3Ay3rihUC38Tuve30cJd+ysJXTLYQFpmFZffk4ku6Wu8bnWginTpjufrE6 joo12OwX/yuEuhJZB2W1CaTxts/h26dC4FWwabvrPoHaBPKv104Wwo3ltthH uRNIDupKyVuL4Pe3jLfSAxPow9vE8kr5IohPDCn0Oz6JWK4GKudpF4GvNJGP enUS6QreqUy7VASi/+bEJIRPIspjrQ+Bj4tg6XST2IWeSTRvOldzrrMIbk59 OH352hRS2tanrjFWBBw1JrplAVPo0ee6zwqLRfCi3dZaLWMKsR9Mqt0pXgwi L6885ByaQpLrWo0jLsWw0tA9/Of8D2Sem9TmzlUCOmvbDA6KTKO0K0GGTpIl EDCX4zOhOI3G+F06LI+XwOMIjV96BtPorp92l/qVElA+rqq303saRZjMk9nz SyB45ImvKHEaffqjPZBqWAoTMmJiDPcZJGNMnW6ILAONPZ7anImzaI+/ntqN V2Wgv1I3op47i3jzMyI5K/H7wYfpetWzaIXDVN54rAwO3a9dGxuaRcTaSvfh E+VwKtFx/dy+n+iRQuD60mQ5rORLdkbm/ESdPIKC8pqVkAATPDUpc6hB3eU6 ybwSzryLsWDLnUNVt5srPG5XQpwP35RCxRzKJHhbfUyshAtcwTL65Dnk7T/0 Qn++EkJ23xy8sW0eSdGyDzo8r4K0So/Ed+7zyKtTFZIXPoDSIbdquioVccuX T37hqIaMI7f/XdKhoqxohahV0WooHbOTY16gIpLh/q+2Z6rB5GlxyMfrVHS4 TdBdJrEatkVar76No6IRAi27ROUjcDhQMnknqEiv7g13x6MacDKKK6gLpKHh vZLl6zE1YNkvvv9UJA15BKTZKGTWgNU/ck3vEmjoFcTnxrfVAO/5gnrnHBpa /RSgbS36CfiWOGZvtdNQYbWN549Pn+Cdze1XGpx0tKuMb5iVFcHRmzvOV56n o8tRq2YTQghshQm3FEzp6LXjZFuzHIJ1rV7bLAs6ktv54UOkJQKT1plF32t0 pO157b+dRQisRquaGffpSDnNIjvhaC1MM8930ePpyM42+0rucC3Y9F4Q9eqm oxADkZSUmVpIq5HgtO6no2zluO4nC7Ug/uxp2YlBOprjfnTOhbMO5DzzL82M 05EnMlJVVK4Defand4UxOora+0uwJroOXB1ptSW8DFQxdrq961Q9VKXUeK3q M1CvfiAjWq8e0kq3O100ZKDFgs9Chib1sCT4gfzqAgOp+Kjatdyoh2LBYypq lxioSuDoYu2zepARfPVcy4GBPujs2VsyXQ/LP2vFC3wZqCab7p6Q0ABJN9+z 78pnoMEd8ikmLxvAwLhzlK2Igf643f7Mm9cAmbI5eT9LGEgdpjiiUQM4fckS LKtioM9939JDZxtArT0sfW8jAyEOAsFTsxFeia7tuD3AQPXO6SJWc41gT3ke 07+ZiUpnbt+2XWwEjKjacJKdibJuqn10YGmCTSc/JKVtY6JQpz5rV8Em+O+x wAELbibSt+d7HnyqCdgm4kWKdjFRl1WocEFUE3zXUaQyDzLRoL7Lzk1HmkG2 vzK7xZCJOggnr3OoNEP5u3br8fNM9FmXs5xLqxm4I1qnVi8y0UudHDNh82b4 7NwaJWvORPaao/FH/JqhpvTiKfsrTDStYs5v2dEMEo9N/TxcmOiXrDpPvgsB OoLtCrmjmEhjTJvwxJsA+k9ub+WJYaKwdH3/m8EE6Kx9wMkVx0RCgma0fSkE INsc3suWwETKrLe7njcSIEaRVkhMZSLvb8mx4SIt4COmQWB5x0R/Yhd4HL+0 QOp2zchKAhPpnFshaHW3QFjSasS9L0wUtZUlQGKkBRx1jzrtb2MiMb/t9IGF FrAb8amJ6cTjcZYiGu/9AlTvN1t1epjIX+diHHh9Ae66L2oGY0zEtvyOV0Sm FeJ6KdydK0wk0qGNwdFWeORy1EHuDxMpvfra46jaCrWzV9fD15jo+ln21AKj VmDlYeFSZ8FQS4q9jLZnKzys13gTtwVDsWq71W4RWoG8f1PMFA+GRH3DHCpv tUH0Jb9bpvswdPyimO6gexvYSoab+Upj6Lx02QHWx20wO2jyOlMGQ/7to/MG z9pgiXrt1vx+DI2JqnsPV7eBq2TVRxc5DL39hEVt2dEO6eI8klLHMaS8ca3C tKAdpAnx6lfPYMjQqDboTFU7/PnJfcBYF0MOqRIXVOrbIVY1OE1LD0NxKsM/ 9vS2A2fakoz4WQzN3LXZPbbWDrVpFh1NhhhK+27ue8+oA451v17rMsUQa72B dvRcB3xIJ2l0X8OQMG8et/9iB0g9in+VbIchedtt3+6xdELIae7XNvYYsl4h uJsJdkLvmM/jIQcMlSmeeSNyqhMqGIrlRCcMOWUCR15kJ5wvZEt+cAdD7SFK nc2HuqB7WmjLJ08MqfG0sT093gWbn+ntd/DCUG6KnYqNZheEXxysYffGUHBB TAbNvAuuxLXoGD7E2/dPuwkHdsHi9Ouv9T54+8Ppu5z7umBGeSDLKQBDQhX/ GCqNdYFBZOjZBdwhmq0B63NdYGGfcTsgEENFeaseZ1mJsOoSdyghCEOR6MDw kBARLC8fzHobgiHtmaCirdpEiJ4p4IwOx9BD+c7W23pEYFPL62CLwPu7754k GhLh/T3fXV64xdcLd6daEKHIZFbL5gmGlvmHgo66EMG75D0rfxSGFCwPpCe4 EYEsLr3dF7dTunvlshfeHpt7OYG7ez/nXEMQEfT137gUR+PPP6VibplMhPAI Zq5qLIZ+BAbd/ZROhEaRk6LJuMUJHRFSmUTYkXhY4hfuKGPHz3P5RPCUlunN i8PQTaen+wMbiKAzr71ryzMMScT9XH5LJUKUQIn1gwQMfbbzf1uCESFjc6Fu FW7bfwSsPi4RYfKZ7PIy7rRetap2NhJMPpEpffgfvv5iTzxpQiTQ2F0Q5pyI oUqqmOySCAk42zqKM3Ffqi3uYZEkwYb3i+xvuP9z+KrEf5gEOiw/qHpJGOLP O4ApAQl27OTewp+MoWKfmtfqOiSoiikO18J90eiiie5ZEvy7T+brXdyxdK9i C1MSSHluGWvBLV+/3e6aJQkE6o6nYrg741/y3rpCgpPan6TEUjC0Q4Vw99EN EkQom7+4g/sdh41E8B0SlHjKxj/DbTBA7Yy8TwLqv0SLStzhfkLy6T4k4F6X M1nDvaXx+hyKJYHHy+s7fZ5jKOu/5dSWBBLIyNvGJ+HWuRF9jpRCAtEcqYkS 3EGc5XljmSRwzwramMQtOahv/TOXBAsbva1ruGvzB7ct5JMgf+Gms2AqhtYv br61pYoEisTS/Rq406WShbk/kSBjXUrXGPephcMtQvX4eC6dUnPAPdiEvCQI JBhWsN7sgdsnyXT/gXa8f3JvVjDuPbd+9CqQSLBbd7voM9zVaj5hqr0kWM8y dn6J22oHj7L2NxLIE9ni3uFeGno9afCdBAoJXtEVuJMKlf8znSSB+F0Oh1rc yoGtOpdnSfAnjovvC+5eE9sFRxoJuAaHk4i4H0gzM10WSHBokvK7F7fgYqip 5zIJeBZOHxvEXUbYvcl/nQSNm8J0vuM2Tckv+XcTGXrr6cfGcTOdtezjOMjQ HD+wPIH76akevhQuMuhEp6RN4lbgvlX3ip8MSY+C9/x118ife3m7yDD4bd79 b3/X4ri9paJk/Hx75O3f53MFSxM/SpKBOzS5+u/735tV+TfKksHdMii3D7eh rOHRjsNkuFEJ7iTcP3+PDPcokEG6UFqkFXfFjdh6A2UyLNG5hv6OP6BPIxud JIO/JrvB3/k5p0eNUNIiQ3j4I/s83EKV6S5vdckgdZEkm457VNbIWNyQDFs/ eiTF/H1/4h+leGMycD3pKHuMW9vT5o/vZTIY3dH8bf033inO7ww7MowJHRLT w91vXt3gdIMMSuY3Gcf+ju/47siLbmRweeqXvQm36psW1yYvMlhLSobP4vtp 805vEzU/MszdKtlNxP18oXe3dDgZ0o79c/7v/rzuGLaWHI2P79wcwxu3Qvfx Ua54MiyayOpZ4W4uTcj9nU4Gqyvv2YVwP92nE3UnkwxCvMidie//y/HY3dFc Mhjwf3/WgZvhZqLSVkqGMLfen/64a8ZYRTQ/kCE6866sBe4wk+L1ss9k6G99 sfMIblFF3uYXX8gwWast0IN/n/qMDjO3ETKISh9I3IlbwM7vxI8JMiRbrfiP 4flgmCgnenmWDMLb7CQLcHsURY6f+UUGSrxjlBbul3fPuu3eToGteY+5rPB8 4jyyZB7DSwG268c+i+BWupCrukmIAutX7A4O4fmpVZ6ddX4vBRYkchQu416c b4ytVabAgFb1jnN4Pqu74uF+/BQFKlLOpm7CHdWxzyJPiwJt1IM/quMxJJUf JJ5gSIGvVlpVMrjxdcu/YU8BKX6Ps3NP8Xww+7GVO4YCdRuHPNTxfOuadGGf czwFFGtbCsdjMKSiM+7TlEyBoOsZH8Jxt6ZzHvHNpMC4z0nVLjyfMy5axc5U UaDbsJFuhOd7jcpF08ZxChRglqH8eP3gcHzyXmKGAiUZhl/e4PWGzCu+xYdK AXZr0+8quK87n6k4tkyBqdXmcMt/8fjFEoRfcndD2Df3tshQDH0NPjb0ULUb eMMfWFbj9e21QtPxHo1uyBSwpqvhvjNkGaOg0w3dztNXq/F6yKISAD/Od0Pb QwlCuT+GZGc7X5k5dkOfT9mnF374ely843Q0thvy5NPCVfF6yy2WQ5uY6IZt E3JuCXcxpHkpeGh8phuMLm9+vuqKIbfYq21j1G5wGH1AsMPdyyqc832pG+YC Fv857IKhF1PhtoM7euDdKq9ViTOez4ucOyhKPZAcrMby7Do+36fl39WH9ACb bax4sjWGHvtyptRF9EA8QczmuxVeD8unwmpjekDVzSNzP27BAy/tPyf3gAuf smWpBZ4vd/DuqX7fA3IzUhbIDB9vLyO8uLsHxg/Pkd+ex+frVrlThnQvGN3f svZFC0Ozmvnh2w/1Qvoj2uSoJob0hN/keR7tBTMl2YolwBAbIYFqqNYLPDPG XPs08Pov7eG5fKEXWo0D05zV8Po9ohhm4tMLK/df3GlSxJCWedGbzeReUJy1 UX8nhe8/zXcTN/37wDZb/7L2BhPVZP1M9Qrpg+7ukYqD60wUxCFnGhbRB2oC Aft58fMlN/F9XWZ8H4Qm3Dw3gJ9HZa8WvBjO6YO19fevHBaZ6JJfsaUZsQ/u NapnG8wzUfmHynaQ7IdL2xxXnQeYyEOxsUyooR8Gziz3rxYz0UhBYyRJcgBu 3q/MN8TP+6vO3akHH32DZkcjqYZBBjqsxb7u9HEQpFIS2w5fZyC915I3incN gzjlgus3/H/NS+yq1OjlEWCKxG8P0cT//+bMt/cZfQdXEenTfTo0JMBD52hc +Q6Xzj1Y9yPNo80otXBf2ihUNPOd0b48h24rffy67dwYsHQnaF3Lm0Xvztpn fF4cgxKvsznaY9Po1889vFOJ46B761CijdgPVG6qtylBZwKyOX9/cheYRP76 oS/LpibAmsPvqxf3OJIcMujPDJ0EbVCILFz8jtRUQhJ2K06B0o6yz+3iQ+iy eNcyK2UKBPNnaaVX+9Gv1uixe4E/QFhXMG12joySN9t6mEhPg6bHA2UuvjYk MFz+mq1xGuIORHFW1iK0xS/QTPX+DARoeLuzDyUhlre2hWP8s0Dszxzlfl8K bs8Lo/nrZ6E//NSh+uIW+HQ4nIPP9Sco5Lnds1fqBj4DN7kg7jmI03CtXds7 CINHiJSHNXOwQ/75dEbdGBS9AOkJ23nIGF57NpX6A64UKvOJrc/DylqSetfi HFRYL3ETWagg/fjkxRKeeeDeWr0jeBMV3vt4er85MA+1l9U5Zjio0HQyJ6TG eh6kOHU2ygSoEJjdsFGE5mHK0Xje8CAVvJVk4ohRVHDdc+eLrxkVio7rmnju oUNz0xHCUQsqKD0+6rr9AB0k7tMax6yo4PTRcSXvOB2IBLda/atU+PNKummb MR0UHzysFHSmQvMPgwn9cDr87gp7896fCovcjiUTS3QICH0VOJhHhQcaz6dv jDOAy4vdwC6fCvTOjXV/BgOe33Thnyqkwsqp42+yNhhQek41k1ZGhejl83KC okyY4iM1siE8XpLj7jhzJpx7wcJxkEKFY0mVHmJtTBCqvBrzYJUKYcPp8u11 GGTmNl1aWcPj/7dwvYWEgcLzwxL+LDT4Q5m90T+KwVm/34XhW2gQwpUjrMC2 AL6nY0mpPDSI2LrS33p6Aca6PgvW76PBS2s2H6x1AfKnxVK5DWkQlGndVv/z F4Snh14bPk+DgOSp8RWWRXA0mZcpMKaBEMeEmI3QIojW1BQZWdDAvdCUmKS1 CE9ibZqj7GkwayfuLfF8EW4qpzA4H9Kgvv5OhK/Zb9D5yVI54EODCfmzAo13 foNExk3fvMc0GOCZv3o29Df0bjvBbhBCA4JrrPnOyt9wZqhXNCKWBt/VeFYZ YksgFSKoz55NA2bEQoX66hKsn/Dl6sulAePRD+4s4WX4Oj9Ozn5Hg2f+Z+t9 lZchzqL0im4xDRapVlFp7suwccjEPbQGj89B6b7lwjIMjHw4YY5oQAm8dIBf aAUqEiTXpevx+TtyT/zxiRVwXaeHNxJocGGIn/ul/woMkmJfbKLQQDs7pIgg vApVYb8dKD00qIhOyyJprULCyasHM/tp4CFxf1LuziqceyNfpj1MA6uBhX33 m1ZB1jrxIf8oDXyXsxU/LqwCG8+6xtg4DaoNWSbFZP9AtXfHl8AZGqTude+P ifsDiUeOxxrP0WAhp2covvUP3B9LM5Ok0aCUpDP0kWMNDJM272EwaJBe87Be 1HANDhjeGaldoEFGS8VWu8Q12MzanRX3mwamm664XZpdg+/lJ52vrdCgbvaQ iYfROtQ4Zx5VWKPBP2XIo7djHZIktv/a2KCB3KcHnG/XNuB/76P0rQ== "]]}, Annotation[#, "Charting`Private`Tag$2601127#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVknk4lfkDxS/phxZbUowyV4hkmRhtozNDltA0kdIMEtpopY2UlBrpNjKJ QiokMVK63KxfyyUhua6IrNeSJfel7Kb3nX5/nOc8n//O83wO2/OY4z5JFosV +C3/77zdDLf2HBfPBu4qrTTtJtrbxf1l17lI/rvFSMpfRNSCbTYceMjF6Qi/ zTafu4hCxoPr83hcXHqXcPmHW11k7ofp1owaLtzz75433txFZmScDLeLuPBW VZVlM51kxOyf4LFJLu7zLpazSjpJr/dcQczCbFinLX+jGNZJ6op5/u3rshGJ XybS2J2kXKxQHvJrNlp3r/Yp6+0geeo+Ktre2RjYI7zaxekgj86q5/pGZONp f0BiaV87CTQOoad6sxEhqNrcWthGjrm3bIufzcaCytp/PQPaiDfH5CEUc7Df MVwkMGsj2/p7La/+lIO+ipzb9TmtROuB3bVFt3LgMix3yqDyA6mVV1Y2/JmH uDDTMSmNFlJmfmSfwJkHTnjGFG+4mbz0rcg56csDqyrEXquwmSS9Ors7P5qH eTpWrrLuzeRscFuC7TAPQdqyklaP3xNNKkXPK/Yl2s6rHitxbCJnatfjzlgu CmIcLjmMNRA5w+ze1zJ5eDJPFLJL2ECSbxhzZtXzwP+ydjg+q4EIHFY2u1vl obG+WLb+RAPRr1b2147OAzeQKeB/FpKOV1RK1tp8FLiNLuv9Wk9sSh7JvQks QIuZr52DiYAs4Sq2S0gQDLhK93ImqokrZ3ZHjwrBiL4Xy6C0miR691ZXrCYY NFxSRt+oJqsX5+ZedyH4raw2x1Snmlic9ri9+BlB8tIox2aXKmIWvyslyqgY gV7ueVcrKsle9xS31PZiSOntcWdIOckRWda8/akU1l/dHg0sLialPve+2/2J jztHSVqyXioZ1zGXzzjyCnUvjCUvpN2C5HS6wnfaVXBIMzfK/ebJjPHIcXpa A1smPc03rhQ1oaa1FaveIstLucUi9zU0bg5NPxHXQffHv/0So+swNNnR/s64 HqGjg7qsSSGSB/Or5P4SYs2BD/zvrzVBbtljqqenAXSn7p2gyRZwDmXvf6DV CF/FTYd91dsx8XN6z8HgJsi0bRnUKejEyTV8rkrZe4zMlC7RtRWh4yn/uoDd AhHn5Fb7kW7M+jTE6QV+QKDv+9d/cHqh/4s0vT+/FRfnlwd4yX6ETSL7wPMl 7dBc6wirpH6cWbZHs8u1A/fk5XO3aAxi9Sfn+U1bO+FEP7V8GDmERfIjMvyZ TmwKHnphyh6GFInLXBHfhTjncDerKDF8TfObZe1FuN+wT+yiNIL0LZ4PiiZE SNp5qpHdOILxITWFvuhu8A89ZmlzRpHtZDMnanMPJBQdHk389hnBtlfuc/t6 sEpC1cRc5gvYbXbvk6704mjebdsb+V+wYW1olOqaPrg27ULt+TG4Ln87LSHs Q3r+QoX6NeMYr7ohOh7yEYcrCxS7J8ZxR8r9pKNWP+p5ay17MyawqD07UZLf DzPLN5E79k5i7vmQHetPDOC0iUuLstYUWE/cM0VKgxhJOq6j2DIFv9jMG0ql g0gtjHf55/40CvXDZBSPDkFKwiDUynMGinZ+qy/JfcI2/zzJiKWzaDWoEwYU fMIa9qpD3h2zeJYArR73YdhYdO9PiP0XbplmisvoYRSlxfAP7fiKi1cehrSm iXGhctCPrUlj4Rlpu70ZYjRIvXEw0KYRe/CIUl+mGMIsfvR6XRov7NcnUVwx KsucLzoZ0uhTFPAliRjPJpcLOBto2CewZPSEYhTXWuWpONFQ4e3569SsGObx OvStUBpJqeU7Z76KcfSqhfzzP2kYx+prBLMoWEfvq6kNp7Hl/GRm2FwK31/z d14QSSPIMkIQJ09hQHR4NOIeDdHbIuXSFRTUCinpghwaGf3L4uQcKIT0tiWU DtAIu3fFo/1XCm7+litdh2l4Ow5rP91OYcu+UqPJERrqBQXPtu6icP1Jyccf pmiER/xRwfGkMHhuo1r+/xgcNLs7Oi+AgkF3ns9KLQabh1i8lnMUBB7Wl9tX MtB4cDAo7QKF39UE4zH6DBpl10nbhX7bt+rMBiUTBlZtjerXIig4zZ4r0bFg oBmqbCudQsFzZ9uCAQ8G9LqghU2pFIRHikLrvRk0D3fXp6RTODRt7Ft8kMHN XS/crJ9TSJD1O552nAGzytH/SgEFPddrKuQig5aO3HXOhIJJiFmKMJRBThSb 1ir9xpNZBlQYg6P0SBj/FQVNvdwV5pEMWgURCXOEFPar1t61TmTw8uqkl/Ad hSDqdmpyCoOojXv0kt5TkCztnKOQzsD+kSHXop1CeNGLEmUuA53fowOUuihs mFaek/WSgaQ8vUnUTaEo9stl70IGeWffvA4ZoBCx/tTeJa8YRBv8GLH9E4Vu 48t32DUMTojid7ApCtF1jYPOAgYOMVJqo6MUPvMy/EkjA12Hwx3FYxRYtuE4 1sp8+3VD8s1JCq8oInlJxKAze6OPxwyFP7fV8owGGBT4JBkZf6UQySkZkBll EKMxf5xhKEgtPTn1kWHwH0cvDWE= "]]}, Annotation[#, "Charting`Private`Tag$2601174#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwd1nc8ld8fAHBCqWQlUYSSlEKSUeojKTLKXomSUiiSpPC1RUgiZRURklXZ 4dh73HvNyrzZ465HNv2efn/d1/t1z3mez/mc53w+R8zGyeDWJiYmJnNmJqZ/ v6Xmf/PbPfKB9eYm+ZuZv9FBfcpkTWg+hO2c3v/AYRTt8dY4ZZecD6nhHuE7 ZkcRd3ZS6LaifJixU9qzoTWG2H4t92e35sNDs/nT3bFjaIXdUFqfnA8Zb1lE CgfHEE0hy3t+MR+C/2M/lCI0jsZs2YhvdhTAhUNFKhbG44hQWfRwUKkAHKxr bM9/H0d1FO4638sFsJ5WNVQ/NY5Khez5D9oWQJ4/i/Pcrgn00V2oxCGiAI6k m5tb3JlAT2V9N5bGCkD1SWGu/uoEcrL6eSVhtQAMImdYxYUnkW3YiWTgKQSh RX60fmYSXZkcOx+kUgivpHTO8npNIvEkrZCdUYVgt+NwkxljErVz8fFJqxaB 0i3/Z0zVU6jmzL1bROMiIJ5RrfjzYwoVO9QXujoUweWtwn9C6FMopcHd/HtM EWy1Szj2XmQauXsPvNOcK4LqTcwSA4+n0X5q2uGbccWQ+j7599a9M2i3MJPH 5rxiEJpLirWQnkEc2uatn+qK4QBZq/LhuRm0mLbdiUYrhmA06MVmN4NarZzz vTRK4Ep6S1Zb7gx63K4Mb+dL4Dnzub4lpVnEKV0w1sReCvJmk0V6mrMoNVw2 bFWoFM7zsfU/M51FRJ1DP6wulMJ0YsLjmEezSKqF7+HBmFLgSgj1upA3i4Ya qGlfFb+Dkqhxs7XoHNKo+sjZ9rQMxCuHTrtS5tCgqFjBxosy2POXfD5pZQ65 +iRclU0pA98c7i/FmykoGaIyolrKYNbuUHnuPgpaLfdRsxAqB54MOfNyXQrK Lb3qNlFeDkdiKJLBGRS0O59nkJkZwTBviJW0ARVZhq0ajfIjMK+d1zx4jYo+ 2I611B9FIMuXJsJxh4qO7iopCTVD0BvLOJXpRUVqbtdf78pDoH5COuFoBhUp JJimRctUAt3CUtlhhYpuWKVdyxisBDn6rjOWWjQUoLU3NnaqEiRsw1aXLtNQ msLLrufz+P/mYcURhjQ0y/lU+962Kvib+t3qsyUNuSFdZTmFKsi5mfEx4T4N hYn+4SsLr4LKSJMB50gaKiSfb+1QqYag2kO8Ep001KPpSw/XqIZJ66v1rL00 tJBTwa9jUA1y3yKGBn/SkKKH8o1Gu2rQ0blpFUimoeKdMguVr6phYn+ESQKd hkrU94h+nawGF90I2SVOOipLoz2Mjq6BozKegVEX6aifQzrW4H0NtEiPvJq5 REdrLg4V3Jk1IKY53gy6dHQGxtnDUQ2kJ0p39BvSUUXvr8TA6RqQdNfPn7pO R4i9ocFNtRbeaasfMHxKR9X2iXvNZ2uBMyW51D+Tjr5NOThYLdTC6uqui0rZ dJR659T3m0x1IDbg9Gcql44Cb/da3OerA7+q0Rb1AjrStOGJ81epg7s1fZl9 iI46zAMFcsLq4KSQW75HFx6v5r1dLMfqQXPo7HDVKh21NZy+xa5YD1cqf+uK buDxXdxWsONcPUj3Vch7MjHQe/V0IwHjepBTvP34KBsD2aiORB3zqod67xRu J04GmlQ05jVrq4dxvtHA/0QZ6I/EGa7sew3wpuf02W41BjpLVmt47t4AObaF 8TsvMFBQoqb3Hf8G4F9TuXJFg4H4+YyoB2IbIEuss6pCm4EUmB064mob4OKb 2V3/GTGQ+6+3EcF7GyHm6FYXn1sMtBYxz2Xb1AjOHecmPwQykLr2SsO5rkZ4 Ro688PIZA4VtZvIRGWqEpq3WKh4hDCTstZ32c74R1Ctn1i+F4/HY7yfoizaB Z+YT1pZoBvJW13sJj5ugtj38q2UKA21a/sy992AzSOstRTZXMNDeNjUMZJpB JPBFrkElA8kn/+i2VW6GXVtqR/uqGOjWpS3xObrNIFjJFD9Uy0CNsTYH1dzw +cc3m/c0M1DEKcFTdxua4WH8+0P2PQwk5Bl0s+huC9xeIgqemGWgk3rCF/sf tkDukVFnnzkGuiyeL8n8Xwu8zVhnaaXg8bWOzGm9agGJWgfyNToDkYXOuA+W tsCs9XSC4wIDfSrHwtg4WiETezelwIQhhb/XCw1zWkEy0D0tkBdDOrqVfheK W8Em4QY1ZieGbsaLXFGsboXkAOuUND4MvVQcnNjT0wp7rk5dqeLH0JTTVUHy eivYPZck/d6DoYRhY09n3TZQXfogM7gfQ8zVWmrhs21AGNOuyD6OIQHuTE7v hTYYCS+nh8thSNpq6y9npnbYdnUyw/EEhixWGh4a8bXDy9BzHw+exFC+3IWP e1XagbmpbCpQCUO3U4A9M7QdjFI3VJgAQ60B8u31RzpAVKq9bFgLQ6e4WjZF nuwA1+3pTcnaGMqIvaF4VbUDkOKUzA0dDPnnvEiiGncAfa59+y9dfHzfpIuA bwfomdD5v+vh46USd9v3dsAxU36JYyYY4i88oSNP7gCC9NrBLtwBqs0+G7Md EODhFvrEFEN5mauul5gJQN7H9xyZYSgUSQ4O8BPALPykvdJVDKlN+eVtViOA s6Ct8aA1hp5Itzc7aBCg9qcLq+N1fP5DwTGCDgEO69iKL+Het5ErGG9KgM3p aSXbbTC0zDvgJ3OPACZjvjqitvh4FUVjs7cEcLvRn/7XDkMTvn5O5YkE0Atk LnC9g89vaAvZn0KAJ88jzkziDtO3rZjNJgCb0v2a5rsYunM78pBvDQHO/qr/ 5uWAIZGXM8ufKARYOX34S/x9DFXc8P70FSPAzAmxSAZuqxM7zb8vEcA+VvOQ phO+vz2nils3EcFAm8ediltA+LkblZ8IB9yGi6UfYKiIIiyxtJcIqe7Zph64 TSq/dDOJEeFXgmtePe7XN3/I80oRYTyhLdLcBUO8mZKYPBBh/WuMqPNDDH3x KPtwRp0Is5riCV9x6+nqGVy8RATJZLNuDHcE7fEXU0MitIO/n4srhjgUG5ye 2uHPa7vddf0Rhj6zXxXxdyRCn3L+pVjcWj8p7aEPiLAmreRDwB3sxS+d6EGE PM0UudNuGGKrvTWLIogQfEmqhPkxhlJfL8c3RhOhQtBYXRa3ul24NjGWCJtC Dkdfw+23rSCTnEKEF0YB/vm4xfo1LWYyiFCWRz4wiLsyu3/rfDYRGrPin292 x9CGHutdtmIiNLM1ZRniTtz/VoCzHH+fKO9dd9wq81KN/NVEqDS1novH7fHG 8JBkKxG0ZD5fGcK9NPBhTGsYf9/koyDTJxh6k6vw2nCMCNV79V644FbwbVa3 nCbCZov7N8JwPxJnpNybJwIpgsuhDDffQqCh2zIRdIaufSDhzm8QZPHeIELp dFDaBG6G/Tmbl+wkKCpf5ed8iqFIlW6e2B0k4PjJFSCCW5bzblUyLwmaLSOQ DO6OoTXnzN0kYPUfaDqL+/6Xl6LfhEiQJ3UtRQf3Dn9xwncxEoj2OeuY484y KvaulSCBY9bTOlvcOhI6Mm1SJJh06ud0wj2zODTYLUuCV+GLku64C+0iqrUU SBDzNzHPB7dP79k0dJoESSM/up7h1taghMifI0H/z4Mx4bj5ixLvfbpIArdd a/ORuEckdPX36ZBAE3ro0f/eH7MmH6VPggfPj4XH4H68OUuA3ZQETDlPG/5Z ze3qmqclCSLHTya//hf/+LZh+g0SDC707InC3WdcWnPbDp8v2S0fgTul7m76 L0cSyOqkU0P+rf+kYKieCwnYvtdo++NW/th4v+4xvl6TpEseuFl3uRuc8iIB T8jXqQf/8hdwSCHXjwT3NZyO2uGOm+8RFA8mgSm3Nu9V3Ldsg9bfhpMgbq4k Xvdf/rtOjuyIIkGwq8z/8716fqzW7y2en/p98dK4679FZywmkmAicoVH+N/+ HVAPc0whwTDPSeltuC2jMKeRDBKUcKnS/uD7TXcxUGz5RgIblzC7JtxlZOa9 qiUkaDqRK/wFd5DBl438ChJYHLvl8Qa3kBx3/bsmfP/zNWWu455IRp92dpBg 5YBRkBrurzxO4cFdJGCJyAk6gFuT3mbkMkSC9FtbAkfw73fnDS+liVESuGsO +1fgHiQcFbKcxveTv/xYHG7XvNDfF/6Q4FetXIAu7vdOl1wEt3dC0vUmjVT8 PNkPLRm/4O4EtWfemW645a9kKLPwd4KXT8R3DdzN0luY50Q74ej+69Nj+Hle mKuNqFToBHsd8SBe3FXXXB+eVOkEoS0cdj/x8x/WdsA081wnTOaFLCfh3p/t ty9apxNM7g3IH8Gt66iabWfTCfJqVK5jeH1Jnf7ezPmiEx7P1OTM4/Xr/psr B+yjOiF0KkztE25F9d8edW87weDreqwl7ubEbcc8UzrhJVH1NXLG861nHjFV 3Ak9FLEGN7xeni1aMKz93Qml9JFbmY4YYrd9niUy1QlHhqavaeMmce9j86B0 gpTTPpEZvD7fsr9QeHwZXz/L1Q0J3GHC0QLvObtAxdNJ+SVez3/4Hx94otwF qjLHZyRvY+iDbN3J7rNdMGykmVh4C0OOA2YvZNW7QHq5TPg8biZFH5i43AXV 7MyhZng/kZhuTzay7YI6oXyRR3i/cdVzvC0T0QWWO7rdHllhiFM4nTo62gVn S/v/RBtjSNXEf+D3VBd0qeXobcHtEmHdQqZ0wa487JO7EYZ6mAXSh5e6QM6l xszMEEPvxoOt+jm6Qe5Ga/Z2fbzf59m3dcp3AyHklZ0a3o91z0t/rg7oBj2V 5CT6OQz957kttiqkG8xp5orquPMKxoMqX3QDh9ujzteqeD2TfG9T8bYbbhLT hBTw/t/Pwb2nNKsbhA6lLdmr4OvtoQd/6eoG69QDrGkKeL7uFtxOEu8Bgemq RpsjGJpWzQ7efqQHLtRvFQw8jCENgY+ZbjI9QNYeuJQmiaFNDdEUnVM9QNIQ uDwmgfdrcVe35Ss98KryzoTxAfz+MSQXZODRA+JvBCKZhTB0zjjvIyupB+bV NxsGcODfn+rn0TvevZDqGeB1fpqBylJn4h8H9EK1jpb4iSkG8mM/ahgU0gsZ Ejf7xSYZiJOQVZUS1Qv9U4d918YYSMI6591gei9ILGokp40wkInXFzMjQi+A 3+lr7X0MVFBS1ApifdAqtNLoWM9ArnK1+fw1faDVLyc7946BbsuLJkU29sEG OeNtUCIDmSl4hnK090ERuzy2L4GBTp+St9n0ow8kOiS9dWLx+6taKheF0gdp 8QMLcVH4/VM/wL5uzw+o9vN5xhbMQJnO6qKuLj/A6LqWAq8zAw3l1IYSxX7C f8pvY3jOMNCqfVf84ae/4NRXnUyBNjqSOrdl4/b3fvDjEEtpMaEjjQ9idl92 DwLH1f1xJQ009FjYev+I5RBYPb+f7SBPQ0dnjbf36g6DPe9xAU9pKtrJRWOv XRkGpu4aYWrZHGJF8bkHEkbAqOzRqtKlWeQg//3HVm0yNGfedO19O40+X7JJ qlggg4HU6hZe0iT6M7OHezzmN8iLrK/qc06gAkMNlmj1Uahvzj8SyTaGvDUD 3+ePj4Ks79Ot0cy/kdiAVl9K4Bj4SIRZ5U8Po1OKAdGCcuMgcPCBUTb7ALLc 17HM3DkOlUEVX2S0+9Cf5nCys+8EmJ2eXmP/SUJvWa1cDcQn4Q7v5bkjlGa0 c7Dgw6baSRjWDJzR9UGIzcvXSPnBFPgoHWYJoMcgpk9WuWTeaZAtePhnY+Qb uMTlhvNWT0Of2ZnrEs2NUC4VzM5zfwayVjnDLaALeLRcjvpxzkLSX7WuniP9 0H+M0PmkDDfLFAdWR4a8dyA+ajUHetKXIf39BFzLVeAR3piDz6XPQtaWZ6HQ YomTwEQBqnTOtgHeOeDcXMrhz0IBjfPpSW1Sc1BpeYZ9ip0Cv+RXA4euzcH+ bep/83dSIPVW7qem6jkYt9Wf0zlMgZUfPDZdERS4v8exydOIApzli2y/99Kg vu5Yg4wpBThE6E1uh2kg8oBaSzanQLFa0jqfIg0IDS6VmtYUkD8YsuuBAQ3k Hj0p4rOngGRBXENmCA0WO4I+Znnj47ctxJ9eoYFPYLJvfyYFLIMsLmeM0mHH 4y1aN7Ip8Ep5agdi0CHuzj3e8VwK6I8+sSQzMeCbtnIKNZ8CFgldx68IM2Cc h1i7CVFA9LPqlzoTBmi/Y2I/3EkBjCOHTbOVAfxF1i8erVJAIerp5FA1BikZ dSYr6xRQP0pX/UXCQDZOSsSbiQqfWVWPT5ExuOS1mBvMRgXI3D17hmUePM9H EOO5qLA2UJdLUp8HckcFX/UBKtyf2MdFbZmH7EnheE4dKkg6qD1Jnf0DwYmB 1wcvU2FU4kbOT+YFsDWYO5ijTwXea73MyrsXQKisLE/XlAp3j70eeKC2AM8j rtaH2VAhsXY0hx63AHcUYunbnlDBRLTH5KzxIqjPMBX99KDCap418r+3CCJJ dzwz/6PCcYmCsc1Bi9CzVWmLVgAVHK13ercXLcKFgR6hkAg8Hu6xQx/2LcH+ AD7NLWlUmK5pSv65ugQbSp47ejOooGFwz/Gs4DL8mPtNSvtMBdXA8WA+xWV4 afrt2sUvVHharbVZxnUZ/h4xeBhYRoUK9uN1Q/PL8HOoRMkYUYG/Tjkyhn8F CqPFNsSrqVCluxr2V2kF7m/QgmsbqPCIpdx4j88K9BMj3rF0UuGyQ1bJScFV KA5avNnZTYWQHUJiKmqrEH3a+nBKHxUeRE0WRTmugvZH6Xy1QSo8EQ9RIdSt goRFzBPeESoMbCuR4/+zCpu4Ns6Sf1PhdJV9oqvEGpS6tzX5TuHzD4YY9b9c g5hjJyP0Z6lAviZ7pb95DR6QE4zEqFSI8+AY32BfB503rHvodCoI1MzPmOus g6SO41DlPBWSFBa+vYlZB1bmrtSXi1RorthdHzi9DsMFp+2vr1AhniucHqe7 AWX2KTKy63g+TbIq6W0b8EZk+5+/f/F4qvVUP63/hf8BsBSLJw== "]]}, Annotation[#, "Charting`Private`Tag$2601174#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj3k4lHsDhlVCKlvRV0hSypJ2JdXjkyJLixZboeWraC/laDnSyRdSfBGS 1EGOFktZMot+GnMqisHYY2ZMQzWMt2Sn9z19fzzXfd3Xdf/zGO8/6f6f8UpK Spd+7f98Zldm8PIuC827zX2MnslIml79sHoqCxWBD5zj7GQk0cHKJSefheVD wurEyE8k+sz1lO3lLFTXBwkO6H8iVx9KFH0iFlJs77S486UkuMoGSX0s6Jfd DhsKkRINq8KOcjU2Sh+ZqZivlZKMm0uiRw1+OTchOn+ClNS4Lmj23cjGREvF vsDUdnLkWVporBcbp2zK9KxPtRN68mxT3nE21l9Zqurl0E4s3k8/Oz+BjcX6 C08e7pUQnnnsTI8nbEgCFBqt7yXEM2pyacQrNoo+u457kSkh4ZvHT+3uZONq IeEO+kmI+C2V+WIVBxdSHgm2ccXk/IKjbjIXDipVhtwOh4rJlOudP3T9OahK StVp2yAmNpva7EIiOPhduWJmdLWIxPErWtDMwaWUpucDA23E8fUjjcoLXEji uSa3jrUS0RzjQvoWF6xypyqv9a0k6EqKz5J0LsbefPxfiVYr+RNxWXHvufDu XaNr/fIjGS25Yu9tUIKH54qUfdQ/kly2z/nPJSXIbBB9qPm7mcwo0BaNG0fQ GdPRu/tyI9kTPbpTpkdQPOtK9nrPRpJ2sOP9G0sCXaUZfseWNxJLXRbrhidB rfGuxXHyBmJ/3v+Obh7Boxc9oTKfBmKd4pEZv7gUfYolISc315N9vpl7s0Sl yI56dL/LSUiKpBs+CNbyUPzNIGj5IQFpcAr7ftORh6Ftw9VHlwrIQM4rPVd3 HuJ75ftqx6rIqos2+94d5iFtpWn3gvgqUjxt8UDpbR7yppS86+BXEpbDrDkv vvCwzCmCs87qA+FmfjsbH1+GArOM1h2G5YQXeF/fq5uP5MsnguReZaTfdJ1m 9vG3UN5kXv16bj4ZP/xUS39+BZTqIsPN0wFrxr9oR84HlHbQKgMNefhwbUXV G3MBhsL9LA9YlcIotmv4cU81AmMiax/YvkPXoFhUv6QWa4MVr3VCBMiQcyo0 bgmxM1a3Pz5KCA3DvyiZrA6Rjso2yYsaER1QeOjhvAaki2PDloa2YMDuqexI aCMq6yc6hqmKELSMX6BX1gT5k4yNX9MkEOfwb9QYt8BfwInz8pViNLDuntmF j3BewJfrT5HB4t+q9CFOK3aaZxXlJHXAMc348PMZIvzW0hMbZv8ZwYZ+c9v3 iKFqpLn/8YcvsOzeNbnRTYLb2lr+dq5yTNP8psYfkeBgxPXGpK9dUCb3ck1S 2jH74LmKCQEKHF3BaZ7kIkWm8a413ioUnm7e//DVgBRX19Utm+H2Df1ds7Q6 Ez5hRST2Z6l9R+EOxwnxDjLc2RSl6SX8jlCn8AcFnTKYmnEPjMb0wrjNuSk9 vANvtMtYZ51+YM2qa/Ezl3VC1/e99iqtPuyZLRgeJ+yEnknauy0VfeivuCk9 FfYZKoy5Rn1cP5KUfYPc533BsXplM/nWAUwTFaaN53/B2QaLNne1QUy8HLbT 5vRXePLHtEOrB6H02DdXqiNH4nVD+6QbQziTnHtThycHp0NysmH3MEosItS0 T3RBPNbw3NBoBNrOZyyvanRjaoRp2aeWEbQuqhaGcLvhZHt8w+Bfo8hLxTyZ rwLb/MzNjgaMYW+utbYhrYCrt163xOwnroT/Gdb6pAcnLFr+1cb8xNRgVed9 2T2YVD0mUJ9AI/nIcZ3O3B7kKDlMs1Ghke9ik04V9OBh6IhD4hQando1/PGk B96l/eHeM2m4pCqpmQl7sJIXZUIvo6H30u/WudEeLHcdsS4/RCM96+/dIz97 oMwXBE0JpLEk2cIoVImCwrU0cttxGpsvD+ZGTKRwafKOTR/P0ri0IabmniYF nuLlsdErNKSCV9N5JhQ4nq+FAfdoZH8xvKfhSqFS3Yw9p4ZGxP1wf9EWCjf4 N+u662gcdFfMz9lOgXvHTsBuomHA5ea5eVDYe2Lozh4JjagYnzfR+ymsj1Y0 FVM0jljf/a4eQsEi8GJ1uwYDhy6lly0XKRy2LJHW6jAwenjk0pPfKYh+VnS8 0WPQMGm1qvM1CpsH3OYVz2awsa3BIDKGQoTPgzSeFYO516Y7qWZSECvp2SVu ZUCvvjS1MetXz5uz7e0OBs2KT7WZTynMrx2Wj3kwiPXI37vpOYWD6upfQ/wZ MObuZ8O5FJoXH83jn2bQImat3kUo3PLUzDA/z6Ao3piex6NwNfvolrsXGJyg v0Xw31IoMDR0jPuDQWtNTOoEIQWW2toVWgkMiv87eEBYT2GY+qFVm8wg3tbP LL2JgkmRZUzGAwYuj6wK7EUUFrFM9P94zMDUOyFEp53CtKcME5fDYLwmvV76 iUJqr00wyWfA/q2yPOwrhdCaU2XBrxgkLFoZs72bwuVwkVyLz+C0NGWnMUVh lushtqicgWui8qzv3yngTK4uJWCw0PWYuLSPgv1C4RaPBgbK4+oyYgcpRF3z c7FtYyAptA30H6GwdUX0lHYZA25g+uIlP3/9lens+qlgkGg0uZ9hKHwLqOtv Zxj8A5OcInk= "]]}, Annotation[#, "Charting`Private`Tag$2601221#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13c4lt8fB3AZJdl8RVGSpMxKRsNHki2ZSVJJREZJpZAIX5X5S0NIKKGQ yObYZD7LKvPJ9uzHCOF3f/+6r9d1n3Ouc+7rnM/73HtcfK2vc3JwcNhs4uD4 7/lFr0G6NKkclM62aDv2jKMMiZ5lvnfloBecBxF6E+i1gapZflE5TCdfvZS0 MIGi/f5NsfpRDodKw66Tr06isPej1PnhcjB40dDEXTqJ7nfpwJv5cqj49ozh tTGJBFW/T/zgrQDOSrKu+/Ep9CFGPXpVugJeUDJvbvabQnjz/QPOZyrgvKFY 5mviFLrxJSMk/kIFNHZnmc5tTKH1bbsU6r0rYDYvImX8wDRSahe/s+9VBeSK edziCZhG9Qfjpc7nVoB67VJHZso0cni2rTaqpgJ0BJ3rh9A0ijDhFKBMVoBX mdm7fM4ZNNJCz/qmVQm5eY/cI4Nm0L39Ny3GzSrBc8udrIU3M4j/30n2P1cq wT3zufa34hmkYzik9yCqEmRPCEbqzc6gF41tP2GgEi42GWd8OzuLjOo+CnY+ rALRwIeLHznn0LDsnu/rsVXAP/c+/dn2OeT/OOWiemYVVGqfN5NVnkPp8CL7 RXsVtKVMGXrazqHV6sf6jtLV4JH3mqcufQ4VVFy8N1VdDT8ffhExP0RBhjv6 pKUI1aA7te+cjT4FDT6wbjCdrAaLE79PKtlQ0FYdE+F8wRrw84jgs/anoGul mrn+l2vg5Tm7srfFFLS9WGR40yYEw8dHO2kqVOQUvWo7LoGgKfvzSuFJKspw nWhvVkbg49Q9ctaCipT/KS9/7oDAUqdRXMqLivTvXXn5z1cEswtbbLizqUgz 5XxWolotXPfRi2mToqGrzlmXsodrITqvja96mobCTXcmJc3UgqKQiP3oPA1l acaTns3XwtNtBuVUDjqiCD408+arA+Xshr8tknR0D1noHNasg4GPG0/CjOgo WnZBvCqmDt7uI7ibptNRCfl0R/eJeiizGysa2MtAvcahzBijeoj0qDzyTZGB FvNrJMyt60HOxTP4iQoDaQXqXG11rwch4YkSYS0GKhNTW6z9Xz1cDdb/0mfC QOUGO2S/TdfDWrQTa58PA1VlMe4kJjbAgZlqnOI3BhrkV02yTmsAhxnd69ol DPTX72aNcG4DFFL3/6tfwUAnYZI3BjUAQ5mYaljPQDV9v1IjZhvAtdhcW4jA QIi3peWeXiOYUARLchkMVO+ZuvMCpRH0zWYrjQ8yUdHMzZvOi42AzKaIj1WY 6MONY5XXOJpgaiht93d1Jopw63P0EW+CwVclN0S1mMjYReTtkxNNcLpf6OL7 00zUfSFCMj+6CR5dueUo6MREg8be/3CpNIO2ZU6R7TMm6mw5fp1XqxlUUjz4 ZWKYqMaQ77vAqWZobQs7RI5jojSDT7aSds1wa3s+w+UlE7nojb1QCW4GWsXJ r7rvmWhay07UobMZSGMpIS7fmWhB4aRQnncLVHcUUO8MMZEuWb/lWUALCPKi ZuFRJopMNQ658aQFHlVeds4lM5GEuC19b1IL1Dxz6SdOMZHmppvdbxtbIHER 78zBYqKAX2/iona2Qkj/SVI9Dwv9jZsXcv3RCn1Wb0q5lVjIwGyl5RSpFXys ZoT1VFgoejPH490jrXD33GJCgBoLyQRvY/ycbwXO7a8kxo6wkK6nHM5K9gc4 FPy8H3+ChUIMzsXD/R+QILR5ydOChTiXPwvv3NcGuJWtRbLeLLSzU58Nam3g f0BhdsKHhTTSB3pcddrA2M+Nkn2Lha6bbEnOt2iDsrGHFxT9Wag1yWWf/r02 eE603yIQyEJxx6SOebS0ga7g1GHfKBaSDoq8VurRDt4cO49lpLPQ0XMyhoN3 2uG06ydx+UwWOitfrLjpUTu8OcFPy/yAza9jjGr6v3aYAYXM1E8sRJY+GTBc 0Q6ib5/qPshjoZxqdjQPfwe4PBLwI5SxkObGlRKb/A6o+nx+p0QXC5lb1Iad KeuAsPk6CdtuFrqWvNtSq74DDvX7W8TjWChea3hqR28H2Bqq3uYistCM70Up 8loHfNaY+UrqY6GUUbugWxadUGAkxi0/xkKb6k31Yyid0FR5STeYxUKSwrmC IYudUGmf8DWczUKqzlt/3eLoAkfepUfP5lnIcaXljq14F0SbSmokLLJQ8eEz H3ee6IJg32yp5yss5JYJvLnPu4BzX1rqIU426gjX6Go+2A1fFko+WQqz0TGh ds6Eo93QKJzkpCnCRtlJV7Uu6nUD4lw7vVOUjZ7kx76n23VDfrlD/ogY1r5/ 2k8ytBsU0u4K2GzH2iulbvfs64aUkcf4cRk2kig5Yq5B7oazsw77CnaxUbhe 2+N1Sjdw81lW3t/NRl9zV/1NNuHASsyykGsPGz1HisNDEjgQHrk5slmejfRn wr5u1seBu2asYOUBNnqg2tV20wgHw8uhTI+DWP87UhM4cxys3KXJb1dio13r BVLJ53GwrSrtsZcyGy2LDoWpeePAukpxL5ca1v6Elp3DGxw05/p3jx5ho6nQ MN/qVBxsjk7ddVcD69/S+VQuEwc0ucD2LUfZKNrKtYaSh4NRzZBTippsdMMt YX9oAw7eC6QV22mz0e74ueUcGg4UtL5du3aCjWquhuR8Y+NgpGiksQez8xGx C5V/cGCGC2g0PMlGKb3Hyjo48TDYaZkur8tGkjLP7tEl8BDqKol9JTYqpcko /NmJB8mjakZaemxkX1vYw7EHDze3ulqmYn55bUBDVAkP6zf9za6fYiPRXEW2 BuBhZUqec0KfjQoDqzJOGuBBXmdf/KnTbHTO4py1oQke3tt1NKVgjmPcLzxv gweym9FBSwM24tdq8X3ojoeWgQtTmWfYiKfxOgXFYfML1/0sYMxGH14uJ7cm 4oHj/NYFW8wG7jFm+CQ8LFhup7/FHMb3PZeciQeXB0KLciZstH6O24OnDA/O VaRLe03ZKFXujaRgNR7CcLLaVzCfmFdqlajHw+99Lc3JmANf2+xX7MBDYu1e LiEzNvozlDFhOoqHU1u3bJ7E/LpA86XNBB6UjcQSJM3ZSDO0zcBpFg89dj4k E8x35VmZ3vN4qNDbFJmNWXwxwubeMh4mONUXejAXt0hxhazjQela8i5OCzZi eZ5yieclQICWcIY95oQTPSJJAgTI/5d/7RFmdUGPunRRAtSpKYlnYfYpjJct kiaAfUdBAAPz3NLIcI86AX7WDO6/d5aNStzj6k01CUDkcqa+wvy4TzcLHSfA dHDlsRLMEqWp3jmGBPj2w9GXgXlMwcJqlzkBDAbqz2+zZKMvr/5qvLAiwKtk mzZ5zPr3Lv4NciKATK7GORvMApN8o8yrBDi3I8v1BuZ+u4oGN3cCSP8bxhOE ObPJ49MvLwJMMh2OxGL2OSr1/JwfAdyrS2nvMOt8bPVpuk+Aknxl7XzM3P8E WB8LJsBmmoFwFebu8P2aBWEE+Lol5n4r5rfzvVLyUQRYpsT7EDFfd41cexND gL/zvxYGMauTjo4JvCDA06E/AhOYV09PNIa9IQBnx+3SOczNRYnZS6kEOHIW x2JgTthrEO2VSYCDF1Nr5zE7vWD7jmUTQND26p4lzApcmTb2+QTg5vnwzx/M TD9rrfYiAlA+UlL/e19F3rRTr5wAur/qKhYwR1oXrhfXEGCkJMeLhdmq/gr5 QCMBaGUHiqmYpQ8LN7/7QYAYXHPCFOapdJQj1k2AYieezaOYv4n4xkSRCDCv 7CHShzk4dNfttQECmIbdLe7AbMzstPUbwcYXyqPXYha7Gqw9NU6ArtWEhiLM wzhlaadZArBHPqp/xJyjN7iBoxPgXZuH1kvM/l+f/z6zQIBr4Nz/BDPIHm+p WCEASYtL/DZmvvjZXDUOIpyU7591wpzma+IntY0ITgx+L3XMniN/7GKFicC1 1WO7JGYNy2wdLgkicD+lXl7H9k+b6pZNVFkiyPm4tDVjfvmuZPyqAhGMR0yp 2ZivCLq19ioRQRNvVvAU8yK1Ma5Wkwi/P4eKGmGuu+R/5+gJIpg/yy3eizm6 c+/53FNEUO0lLq1j+1suL2xXojkRvKX5rhVitvDSy3N3IQLBf8dPHsySg/T4 QXciCNhfTujDzhfZLM3fypsIGx+dqJ8wByitHz8eQIQuR5uXBpg/zFa2CcYS 4dLGQKE3dp59Xlvu9XxBBJ2N0ZyjmLUMfgc2vSFC8+pn+79YPWhL5VMJyiSC y20dXARm5rkLcTNlRKg60372KVZfKtYoUwY1RDCRj/1jiDk897He+wYiWO+4 6siFWZI7m2nfRYTSuz1GAVh90i1dtGn8TYQfJzV6rI3YiNf12ZfdM0Q4IFxq uhkzQXgXTyCNCKbNgYFlhth+9zxTcmiZCM4qTsJSmKNlEiXTBElwWdFJtB2r lwNPDg090CFBym61ThZWfzPUm4726JLgwj2+ff/D7DXkEKtuQILnjnq66pg5 tB7D1FkSzPZrlNzA6rfCbFe6rSsJuGoCm9uw+u9/zstNLY4El6JUym2Os5Gg zCf6+DgJKoqNHQOxfNKzfzL0e4YEjM6F6r+H2cgv7nI7mUYCtyJ5iWDMvZsk P43+IcHFDImPDw+x0bvJKOdB/h7o3fhg4IHlnepXz06iRg+cvHCvURzLR4vT qp/rw3vgYL7e8ywsbx8F8SXVPe2BAknq2mbMX79PRtbG9kBI0h5vN1msniqm udS86YG4BXF9OSyvB/mFd1R86QHOrWUdMdLYenuZUYWkHiD8GHijgeV/tMd3 t/fyveDebZRev42NZvXyorYd7IWcrKO9LD42MpL8mHtPrRdc3K+Q92DmbEmk mR/rhSM7Q0ODeLF8l/e/t2zZC8qqt8h7edjIbeRwpHUg5nQtz+PrLHTK7utH bkIvyL7jc46js9Ci3ufxGyF9sP/HwN1+7P5V9WEu+X54H1xJG9xL7GShMF5l m8infYAPqB/s6GAhQdyXuswXfeD7bNq3uo2FFC7nvxv+1Ac94z6yL5pZyD64 0MEW1wdPezxxwjUs9L28tAP29EPJ4bBE+y8s5H+4sViioR9kvNj3xSOx+5SG 7PuE1n4QJ0zploWzkINm0HP+rn7YaGxkOj5hoePHNFw4B/qh5iJlZ+pj7L6r /0GIRuuHIRIpUvy/+6pVuGfTjgFwvBM71O3LQrm3DGT9/QagnzRc/sCBhUby G5/j9/wET//y9QwFFlr1JCUfePgLZEFTuKKMiZRObVl3qxwEg7z+07sNmMgo Y4974fZh+Gmi2pGP/R/dl7ksN+Y0Aisik15V8gykTLHb1mcxCjeUrVyeiNCR mBCDt3FlFHC+bw9bZlARN0ou2JsyBgG7B2cS1SnopkblwFYzMnDrWHIohs2i zyYu72sWyVCR9/m4XPU0WpjbITz56jfoGg5Ej61Mou82RlyJBuNQ2+f2I409 jkKMI9KKJ8eBRvNUpTLIaM+QaX9mxAREJznKHf81io5phSdKHZ4Ejl1zAjKU QeS0q3t5E3ESss0MR4rU+9FCWwz5VugUvKmeXM6tI6A33M7+1vLT8GeL4ynF ujYkNvw9g7NxGr6+qmUdVUGIJzjUVuf2DOjFj5jV1L1EHDnOBWTRWRAO/9c4 dn8x+L0tiBGtn4WAHLFfSTOtUK0UxSviMweUcuvpRxYkEDH1Uw4TpMCfpaKK KK1BGFTBER9UUcBPg9wW3k6Gr+9AftyZCsJbrS8Gf5iCSwWaIjLrVKD8O/NW fJ0CJY5/BHEcNMg979DBlKCC4OYK/idcNGBOp4iMqFGh1ukk7wwvDTxJT6xn r1JBjs9go1iMBmk1VNmWZipMulpRzQ/QoEEbv1zyggY+O7x+BNnS4OCVuytl MgxoblJpUTtPAw5+fi4zJQbsvk1vJF+gwQ+71w+ntBmAa/GrNb5MA4ew2e16 tgw4fPdBqbgnDa6ImLf7PWfAUnfkxy8hNPgWmfNgYZUBjyPSQwdzaTAm7apw ZpIJAve3mF7NowEibVV2nGfC2xveopMFNNiIz0aBnCwoMtPJpBfTYP3yws6J XSyYFME3ciIaVEyrptg6sMDsHQfvASK2/mT5itZOFkiUXo69u0qD2Kxx5dON bMjMbrJfWaPB+Kcz6SdIbFB/q7Q7hIMOhrEdn43H2WASvFQQxUOH/PXhl0nc 8xB0Og6fLEQH2fKzGQqG80DurhGv30sH6W2fNY50zkPetEyyoDkdnP6G6bZQ FyAqNeLK8Fk66FBzuFc5F8HVmrov34oOi30HJuwlF0G6quqrxXk68MUldD07 vQjP4i42R7vQgaPaJJIjZRFuaCYx+R5g49fc4NW2XwKDOY7Sn4HY/CxPf3vo swS7398Iyn1Eh86JR2KrkUvQu1V7i2k4HWYlHgtWly3BmaFe6adxdDBLx8tF 7P4DcuHixluy6BDldqPjw98/sK4dJNCXTQfeoTMWPDuWYYD6m5D1mQ6k6GSx fq1liD9fdMmwkA4SMStVc/7LsHHQ+k5EFR1c5Up3xS4sw8+Rcm07RMfy4IDi qe0rUJK4Z12+ng7z44UWWTor4LPOiGpsoQPZ/cKB8scrMIiPe8dFpEOZBSuo QWoVyiKXrhF76KDYn2fVpL8KiccvH8jsp8NZVbqapPcqmH1ULdYfpoOwnEWt afMqKDi+eiA6Rgc3Sprv84VV4BRa1yX/pgPzRJn9uMJfqAjo/BE6Q4dfMmi/ XsJfeKVyNM6KQoflmeBMnfa/cJucYruHTodXWdH6dlvXwPw19w4mkw5BjsWl 2eZroGjuNVI7Twdadav88Ks14N5E+hC/RAf/PTM19bNrMPr9uOeVFTp4/4wu 6rBYhyrPTDX1NTpsUTk9J961Dq93b1vY2KBD/IdvETlrG/B/YuBWgw== "]]}, Annotation[#, "Charting`Private`Tag$2601221#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjmk4lXkDhyUNbYSoIaHBKJq8KkXyiyTZKmmRLFExkjZRYjAoRahEIS2W LKHFOuR/cCyVfc/uOJ2yPhh7znmm98N93d/u65a3v2h+lp+Pj+/mT/5vq386 Yg7nFyFPcs9ZK5+vxOLRs0EXZhGKKhw6EgfYZHBS6n5cWxGEsl/UdTqwia9F 5I664SK4OccuSRRgkzVZot2LFhFEujtcOpHTT06F/LBgSxLECl8za3TpJy/P fP1crkqgM1UhuE+ln3zTrtVL0SPwy/Tx/ptiEVWJ/PzgEwTqZds8NfJY5MrI SzVXVwJOtuEN7wAWyS0LeXUogOCWgiUz5wiL6LnbPZJ4Q+CqstpEb66PBJkZ rZgtI1gYlLH6t6aPVCtt82/vILDcJWFhkNRHXg/559UuZkDolbSovGUf0Yg9 nhSxhYH2OuM1O6t6iWVQVV+gFgMKD5Zs0E3rJV5uujIe+xhInTCwEQnuJcUm KhGWVgxsinIXLzfpJSZcnt/62wxMTFSv7MvoIadtkqyTuxmwji4rNPqlmwQY ST95MvCzl1bsHNXURZI0wpvuTjKQfL1lMii+iwwLexpfWFaMpsrL8Xv2dhF3 YqqprlGME0MzPvZ3OkmI3NTqwnvF0HLx4riodpAc1t6qWu0SpAp6zsfktpEW Q7/xe/tL8K4mKez8wzYynVEkaWJeApOtHievX2wjO25qnq50LIEuY8ZKX7mN 5IlvmWY8KIHLqeBlAbGtJF9fSu7d9xJc3Z7o/ja0hRQmjV2NiCgF+30xSh82 kRLnp9KWw0yMclI61vHVk/cD58/bTDOxOHT3yR+cOpLgpFXgwFeGiLUFTiPV dSTwXOtJ19VlSLfms1keW0cM7UWj/bXLoH/AbVZZs47UWgauzQgpg6eB0kHf kRrSaXhBYvHmcniZCSRZL3wmU0q7RdIvVMA81PV1l0s54Z9LWyWt+AmnvA1j JYZziAZtl3MkowpyLsk2/ub3SVXAtpryTbXw/Z/clINlCmTDh+ZSRuuQ9fjs 20GZIgzN9HQ3qzXAtz/DXrS5HAmDBZ+EQxvhGUGM3SZqICzzimKzm2C38GKl jUUjQv7MPvdcoQVyDNFkqeYWTO9JYzv5tGJAO/jpdHA73NSZWZKlbeA2U482 TXShJ4MZXC/fjl8Oprr5V/bih3NTzEbPDnSmheYGBLGgoivIO1fQiWr38mwR RTb2v5R3fLumG+pRVfc1er7CQ8Z2Q9+pHjRNmN6p9fgG1eGjy1tNe+E5/U7j m8AAxEXGhJjzvdDXqrDSfTMIARKT+VtsH7r9Ky13aA/j/LaCL0uNWci3VfNN 5Iwg7YD986JpFpRaGDTrFoWpIalVnMh+vF2mmfg8YAzZR/YvjtBn41m87CMc HYePYeCzLA4bZg2ee4zWTEC+y6gtPvArypcONk81TUBrR0DEr+ocSJ++tsPg 5b84tb52blEjB2vEIz94np7E1Kd7rEt+3zCbc2HmL7UpPBawcTNX+I5Vc8lm GeNTEO/OfsnP/I58SbMJycxpLPH2s9C8PIBK77DgbK8Z8KXYZLLEBmHX3fr7 uPYsrkRn3hMrGYSixVBL68o5fFAJEhJ1HYJibN/Who45iBpdUf1beBjVb7S1 fn06j87NdY03CoehsTzc4uKlH3gTBwW2zQhS/nBRld+5AOtMDVEZ3gh2veZo 7aMX4Bv4wq8zdRTbk/R33e3iYqWHoNHp9FE8k3Xs/dLLRbTTBTFO5iiGi0o3 b2Jz8d5YM57KGoV9AD5WDXLBEa1n8pNR2Gnw6UjNcmEcxye0sXEUKR8er20T 40Ey1zb02o9RzLISxCcMeYhPLjs2zx2F451V4VYmPKhFq8j68FE4cjBXuPwg Dwe8ZzKDllD483PZhrhjPHjtDauPEaGwXUl+ndUZHli1RatLfqPgdN3LcYUv D+nfZWKETSjUK5s3uOXxEPQ00K7bjIK9h9ijq4U8nDEfUcw4TEEzye2xG4OH dYWFb0yPU/CZ1o7xruThbphVeYg9hcO3F4zS23hw0ngyvuwGhYLPBSkP53jQ H+LLbb9JIYVzu6aIy4Pscyev1L8oDDyQuzmyiEbL0p2CRgE//4rVOUeX0djX 1bLuThgFCWVu6TFpGhsCVhsKJlEwcXS6r6NDg7fTa2VrMoUcbt+xbD0aX0b6 G5LSKOStry5V308j/Ph7a4O3FHSsTGf0DtGgN5lfDSykoGy+3pZpT6O9J3/n UUKBv2S49aYjjZwIeZ5CCYXwMr6K3S40XHljQcwKCqGNKkLsazQ668PiFjdS +D1Kkb/5Do28WzMOjc0U4ue/NM2H0ojYZbsxvo2CbrTps20RNIwT/8jS66Yw ud/q0EgcDaWTkTfE+ijUHM395UoCDX4Rng6rn8Kn6OMJkqk0/rle/dFvgEJ6 OrO8KZtG5ObtYYeHKSR2LUhyC2hcZsVayFMU6hw3Pz9TQsMkSkBqfJyC7YCn yLqPNJRNXHoYkxRWfNTmadfREFjUlBA+Q+Gk3JJbE600erN3OdvNUwhu2JoV 3kuj0Dl+ixqXwkPv3ffHBmlEyS6fomkKBs3dYx00jf8Ag7Ucwg== "]]}, Annotation[#, "Charting`Private`Tag$2601268#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nc8V98bAHCrQhGSjGQkFZpfIdQjKYUKKRVJpaWtQUXISEZmQ2ZIdiQz OTbZn+Fjj+z1WfdjRMbv/P66r/frnnvvOec+53kehSv3za/xcHFxmXBzcf3/ alXYGWFWUAyvyR3+VrNDyOJdzPidimJoN3cYsPUbRuNT0sHRbcVQMfJxk4Tw CHKzeK/ZPFkMuYuZPpr2I2jDD9Eebm4EdpHv1G7njCBr/38WgxIIBEbFJEL+ jaA4u6G6KjUE2sMxm9H+UTSi26SfrI9AK1zviazDKFJbX1Dgdw7BkalXh3gS R5EDPW73vXsIhkdUhM1ooyiv0v+rqScCT00UksI7hvSf2r5bn4lAOjWsUMdy DPmcNFrztxLBzMnCAPGXY6hBWd2joxNBnv8V12PxYyhtwiO/ibcEnDtv5DiM jSGNSMvEsF0l8HBHhqr+zXF03qf+j5d2CSRQ266leo0j58eHZB2PlACXYa2r Sdw4KjVRDTtvVQKfhgy/3W4fRyaLS+6bXpeAQUssn5HeBLpsk3gxqacESvIp qTKzE8jTSCY8fKwE2tY77dq/ZhIlagRRfadKAPwu3+BWmESTws+N7wqWQpeu yHT08Un0FJ3Yv1ejFHZFVYfbfJhE/vLT4kUBpbCJLBJKKNNRxhp70/SPpSCT HWw6oUlHpL89ftHxpWCnXpyddYyOJEg1PO4FpfAhtago7RYdfXaPZB0ZKgX1 taQOl2Q6yu0/XN+kWwZvuKKvPlZgINoxd3aAYRmoPrGserOLgWYyiiVMzMug YP74mMsBBtJ8sf9yzY0yCFnqE1pxnoHy1+2aKQkpgzT+HZMxbxmowEBa/vto GTgL+wu5TzFQUSLrUVhYOYwnq9yaTWeirjU7w81jyiG2Wti8LZ+JFhxuF4uk lEPSn9PeX8qZ6AAM8wegcigxC29f0c5Exa2dUV7j5UCI5vk4cLMQ4q+ufqpX AVlcjlpJ21mozD5K5vxkBSi/m5GSfsxC2WO3b9vMVEBBW0+WphMLJdzU/nmV qxKODdueOeXMQl7XWy/cE6+EEg+tmTueLHTsiugnD91KCAv9tO5qGAs1nfeS zPCvBLu5FxlHslmo69jd9bw7qqAz7pneXjoLNVTrXOPXrAKHAK//klgsVHxU MEfoUBVMKQ2+lZpioRiDrxaSZ6qgQFw7ljHPQlf0/oTucKkC6wgjsav8bDSq eUbsXEMVzClMcDsrstG08oG16XerIfbGdqeY02x0sF+/2tepGuoFJDSaz7KR d9Qx15se1RDydDxk4TwbSYhbMDeHV4NtYdmRY7ZspMF9u+lTRTWQv7w2T7vD Rk6dHwN9ZGog02GZmubJRguBU2vtftfAlue/WAVZbGRgPF99iFoDn1z1aPY/ 2Mh/JZebXG8NKD+6JCWZx0ayLqtZHVM1UMK/ov5GEZ6PvWKzmfxv6EoXvdVV xUauBqZB4PgbLh/OebOpk4145lJFZLbUglpZwSElbgLJNOhzYFctFKpITurz Ekj9c3uL3f5aaM/16LNZQaBrx1dFZJyohaDLwtlvBQhUE35li/7TWnj00fZk oyiBArWltG9V18KmCp3KJgUCbXT2vpp3qw4abOZK6UCgfaayR7se1cHZFEpL 4SECnVT6sY37ZR1kuGz18jpMINf6P3SjkDqo6VqP1hkSqH/jAaeewjro+iXc ve4kgZJ/cfxXrKkHt+V3EQlWBNJYts09nVEPV7i3KUk8IZDJiZJXR/LrIaNT ny/0KYGuRsid0iyrB8GBe1QhJwIFafaMSNPqYSTS33jxOYHG7ltJ9S/Wgw2v blm5G4Ei+844PzjRAPMFW/5j+RGIu8xIP2CyATZKuCaSYgkkKZIi7DrTAIOK +zzXxhFop41A5wOuRsgMdXM3jifQhfnqRxbijdCYuLXv1xcC/dh75IuMbiPk yN43908h0PV44E/xawSxodbtpGwC1XuqN1apNME466k6byWBtNfW8QTva4Iu 0HKWrSJQUvhlTSu9JjiXJ1e0r5pAHhlvY5lnmmBWZXq77W88vm3UQdK9CcqG jg1GNuDxqlEb7Fub4KL0AFdeC4Ekcv8zUe/H9+Va7mbRCOSpV+u2NNkEvXOH RpNbCZSZ8u/xce5mOMH4KPiunUB+aFtPt0QzaPFt22bRTSD9sVeZK/WbIUCM 0/p0kEDPdjbW3jZsBqXtspnmQ/j5R1JDzSbN8GGndLLaMIE2LX2TirBsBubA Zp7OEQLNiXW/2nW3GVI+aTxQmMDjdTXPnPvYDE+8J9TPsgkkFzQxl8xohpC5 HeTrCwQqvuya/J3TDGMaCuuXsG3+W3f+599mYMmqUEMX8f+haefX85DAiRP+ u3AJ/w9Z36dMCRKM53p+neHiILGUbRx1IIFCyGCb8goOynpRFHfAgARi6QFa idimJ0zNjx4nQd3KU/JKKzkokOWYZXmaBKYS874yqzhojWb1/ec3SMCO7ur7 y89BKyquTaJA/Lydoeq9NRyU8G4uoiaMBMETFFsatsGNAGNSOAnMHgZvPyDE Qa8Ec1L640kQyn/McaUwBy2Z8t1akU+CHRJiEj5rOShK8aOk8C8SDPJFzA5i 606p1kiUkSBCI/ihnggHvfhweuu2ehLw+Vrs4WD/7Y4bMuojAWvlDNtQjIM+ fNN4d3qIBJFR6Unh2BrutQbW4yR4OdO1MIb9RImIvztFAoMpKTfvdRxE2B+6 EsRPBpMHW3i/iXNQsG6LaLgQGewj83OnsXcL3yr9LEaGC+XRa3TWc9C9rCD5 7I1kUJas+FyKPTHb29OymwwdiZPuxRIclHsjsMxIA48Pljq1jO3WejAR6ZDB 6cJf74MbOEgiL+pu8lEyPCzK2Z+P/Uf5hNkmEzKUKa/KJbDT3i+oh5qRoXA9 K0ZVkoPrvdWCszUZ9mrboY/YQsOCfezLZCCLWc3UY7edKSy/foMMJwpKopax 7+2T8jN1IEOvUKKerRQHfZqiSSn5kCGEajguLM1B1+y8Fz8GkCHzsEq+BvZu 6r4/QqFkoDpyLVhjV2WHJc1GkeF7mvZoAnbwZgP/O/F4ft3TwVXY1qGc+3+S yLBH8/SPYWy2g7lmXTYZ3lLDrynKcFBRP7eMXgEZuJsp0wewvc2zln4Uk8H1 mhn3OWyzMtv+7RVkeDmd7/MAe+Nekaro32Sgbcj0f4098hklr2siw1Jkp1AU 9nfR+wE+VDJYBPauycJ2cd/0cLGdDGfVL/mWYx9jN1g49JKhX2jRm4q97rKL 1sggGWw6L/AOYvc0q220HieDQIQUF4GdrNe13Mwkg5hfu8sS9uNMv4Ej0/j7 KtouAhs5COR1qgvn8X3djiUxbMGg8ZRdXBTgqrDklcGmLoe/TVhBAf81pn4K 2DH3jztIrabA0y+XPihj2/f+PfNWhAKO1xS3qWCrn0razytBgYu3/zuohr1c bCnrJEOBvXI7Ov7v2p2ruOnyFDj9X/KCKva76NzBy8r4/V/0Erdj2wpfr6Gp UmB3iV/rFmzVl+vTjPdQYKeMYrA89gy9IrBEgwLboz5RpLBLLz5+tE+XAm7O fjGi2P4Nmy1TDlHATs93ehW25QGKtpwhBQZLVWkLeP2K6a82hZlQYEqNT5+F Td+4l0fAnAJO3F/392Pn+/8ZcrGkgIn4119k7FcLQb8JawocCnrfWIp94o5e +o0reD6zK+9+w5bsYgZ13aBAi+Kb8AjsfuOYx2Z3KcB3NN3CG9tJdUlHx4kC 9VxSzyyxD0eky2W6UCC23GXg//EivPoi7xYPCljTinv+H08J4z9rhd9S4ORh Ad9RHG/3PpzabB9KgYQeLtJvbE2DgReVHykgLq+bn4xdGyW4wzmeAmZab25d ww4zivZqTaJA6KMY9UPYNrN7evZmUMBbjidO5v/xa3o+cCyfAoyL367V4/NS uDg5YlBMgZyWuaI4bM8UN73Ycgrc9Q3Kd8SW5Etin22kgJZdZLQs9sG8mdMV AxTocB747zw+f/x2vmlyYxSgXTz+UwmbLLJpxQsGBd4O9o0z8Pm+Zn8kd88c BdpeBBi4YvvLhknGCFPBpk+GGYjzRbvHnu5n+6kgWXruzUOcf+J2V+5rOUiF jHHB+q3Yd7rPvd1tQIXT/GeLu3D+4tJ0g5GTVBj77Jqtj6083vjZwo4KXVvd J5dEcXyb3rm+K5AK3y4VzmvhfHpwcbnYN4wKa53cb3fg/LsqJXTDcDgVcs0b Qp5jf+L9WROZQAWd89Er83C+Ls0VUBUspML3K4Vv5XE+F5b9yhwcpIJoxHrn XJz/9c56dA+MUYGPv+qUMbZD4KW6fgYVmJLugr24XtC4Jb/2/aUCT6aVBi92 9LCPTdeaFjA1efjgIK43OzPtGyjqLRD14F22GzeOp8M7U8s8W6DPUyxEY45A L50Fw0vftIAxJ6Un6S+ujznD3iVvW8Czu19GGlt8W8yV4o8t8OSf6a25GQL3 3yLShWktYHJxxjJ1ikB3aGyfLGoL2C8KlHUxCeR/K+d6rBIN3O02JDvi+jyu l+6zWoUGtYezswtw/TaU/JLydBcNXqVKv5kfIBBPdRjDRJsGhk9C3jn14/qu 9Pjp3CkaxKVyHbzei/uV3r3e5i9o8MI8QYwf9weHzmR+4SPTQDf4xNiNOgJF qyVV32+lwYJa0JBHLYEWeGPHOrpoIKilkxuN+5P874E7skZocNZ3vKUZ9y87 Re7nXFykwZeVLyW2VuD+sG5HZe62Vkh5IdIRUUSgGb3UwZuurfDqeODxpDQC FSVMRDh6tgLf9hUCWakEesWvdtr7TSucc+yszcf9lHBzWml8aCsIH3Y6W5lE IOVLGdE9X1tB8qJIKDmBQGddss5ZNLeC0Unhxl+RBMopyKsHhTaoGrqT0Ib7 u8d7K35IlLeBfJfVapUbeL3q8rHBNW3A6hRc6LhGoHMazn5rGtugSdyv2deO QDra6ld42ttwv9y0ZeQy3j/9hLUMRhuYPRV7HWKN+18zT/tK6XawcFtv9sOM QCkPDOQfO7TDUTWri1t0CNSbUeFHUugAm0Bzn2pBAv2zp0Zsf94Jm1Lcs5xi 2Ej10Kql6z+7oMvhz/CyGhsZxincyNrQA1OKDtwRn1nIUfaS4h/rXuA5aHbW SpSF1CbPrG490QdO3bcsEJ2B1q1l8VfM94E9z4E4R3c64kMR3zZH/oEKW8kl dbFJdFv9Z7uAcT88pXXU77s+jlKPX4ktnukHfYlrWlbxo2h6Qlpk+P0AqOTn 3ZvuH0Y5pw15wwwGoX7hcHpA9yByPeYV82N4EOal92Q86upHCt1GbfFeQ/BW bd9ejZo+pK3pGSa1dxjW7PQz5vvdhaw3Nc1xU4YhiGd3vapIG5quDeh/4D4C PvqlacXxZPSRz+axudIoSK6kjwy9qUXrenLieCpGwS3MyVSruhitcHG32P9w DPT2NBf8NQlDXMk23/rFxoG12klx2PkHOHz6FiBWNg5tnXEndor8hl+qPvyi 9yYgcnOGWKsNPsdGDmqvhCeh5pEvU8oQ7+uOZsqzokmwGZ9oPUfuh8xoUBq0 ocN7Rbry7ZQRuPhNQ1R2iQ5afS0GUrx0yL3wV7iZiwHr9DyuEzJ0EF5ZuMaD lwHa2aRPnep0KLE+wD/Gz4A7dNncnut0UBQ0WP6xjgFW6YoqqXV0GLYzo5ts ZwDfs0ih5x8ZcE/6zm9nCwbkuTgt/JVjQVXljupdlgwI9zg95LODBXIPmRX9 5xkgulZTd7MOC5qrHUqOXWJA7Itb7xzPsmDvk2d54vYMoKcP//gcwILZJu8v aa4MUHpNEli3xAI3r8/uXSkMSJQMkIdRNgg5rjK6nM4Aa00bfvMZNny6eVds +BsDKnYNOj/kIyDbeH888wcD6izlP9DkCRgWJVXwIAZkpah7HLhAgHE0F/92 CgPOCeirxzYRIJF36e2Tfwz40yQcNFPJgfikyrPzi3g+Fxe/01s4sPuTqpwr FxOk1i/dmh3iwHGX2W8+K5ig3hefeHjlFDgfDiRFrGXCoHbSgWrDKehvKhYv 28wEnpLnD0sapyB9VDZC2IQJ/E2MYFXmNPhEedn2nGTCNkNXa2u+GbAzp2/J MGNCxzNP3RypGdhYVJR5wpIJATrl6wcMZsA30KrK/woTotPO3zGJmoGbGuFs wWdM0O1dwWtvOQsGE1x5HS+YYHT066nk+7MgF3vTOeUlft/5BmNln1mgCWit MvJkQrsd++qfglk40k3b+CaQCaYqfIYR8n9B0VP82KpEJtg8D3kdufgXlrSc hVqTmLD7NZVrTnoO2ukD5MRUJlyduplZrTUHQZbZF49mMYGj9e4f+ckcLKuY P/IqYsKT5lXlV2fmoKO3QOsMYsKiavduMcl5yA1TWFIqY4J4bn6cg/Y83Fti +VRUM8H5CKn6hfs8dJECo3kpTEgatNj7UPof5HvPXqW0MIFi43Tn7uF/EKZz aXt8GxNUZivcC+/+A+MvO3/o9zDhmd2r3r6qf6B84f0zsT9MCCW7bZCZ+Qc8 a5cO9g8wYepxh+7drQtQ6NTw232MCYGBRs8Kgxfg/Y59gWaTTHCVsl1OrVuA h/2RFgpMJkiPJogjgUUw+cAnzWbj/R77ZCBwYhG2mdzpLZligqRT5WP1D4vA x01NCJplAisw47HQxCL05ejY284zYbV/bKrAySUoso/ftXuRCStn9Xn0Gpfg g9zq6eVlJhS65HYkLy7D/wDd2g2n "]]}, Annotation[#, "Charting`Private`Tag$2601268#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVk2k81HsDxYcUqYT2ECKpJElo4XRdIsnzRG4LIRVCHm2WNrnhUbdwNVFk CaEFFdpMftcY6yX7GoPB2OdPtrLM/3ZfnM95db7nvDnKTv+zOivKYDCu/dS/ 3pPGS28YzEd0nZFeqhGfcM7LaOiN5CNZs+etcW4P4R8PdlGfyYeJX4e9tEoP Wbh/JnHNAjbkf2QnybO6iYa2F1dSho03Q8H2D127ieW6njWzcmzoXLqZZanU TS5InrAZVmPDrvGEUWx7F2FOfgnnbmfDZJ9a+9XkLvKO92t55V42GBudPzw7 30UazAJG75uycT+fitTc00UmM/JWWlixcfj49eari7qI3rVdp0pc2MjQzPYo fMsjH5Ztm/wrgo3RDXY7Vq/gkSY/Dzn/WDZ6Ug1aq0Y6yff25/sM0th4uLhJ O7yik+i/Uv3j42c2HEVcLlXc6SQfjdcqve1jY3Kj9m/eizpJy4ujJl5jbHCC 9//Xf7iDTEs/dNMU/pt3r1xT1UF2ty3NebGsAKbJpba8yA7y6cp88yTDApTW U3+KbO4grJSRS0xmARi2OLSCwyWtizUfW8UXIO7emE8zk0tmL7rnSb8ogKFM SYWaM5cYgC9xnxRAufpT+AFJLslr/BobNFCA8NuhzrrH2giRKC723sdB6VBu 3wPxVsJ2i5U7PsTBKyc5i+bEZpLV7+5uP8lBVImZgVpAM0l23Z17mlGIKnGd iWSHZhLk3HjCc3khsri+IzsUmomZk0z07b2FCO412+Yf3UQqjwetzrhXCPcL H0NXxzaSVrPzK+ZtLYLmzlt/ln+uJxNqBkvTzxcjSnrLtwLrGmLIMyq+61sM b4nKK3l6NSQ41szf9XYxanrzbavkasjK5UcolcfFmDQQ19/VXU10RdwroznF sNer/rrKu5r4fn0UFiJXAi9D99nq2CoyGza+9ExpCfqmy3/3mqogoj9eSstt KANL0JQUUVlMdGnHd9YZ5VDnGQz3JH4i5YE6X4o2V0LJkJFU5BhPFMMHfzwX VMErXGNayiIFg1Pt3HqtGtxbNurS35OL5IHcMqnQWqj9ovKkOa4IUgqpVHd3 HVp6ZrK/fPmCe+dynBNUG+CWWngsfm0tJve97Hb1b0Sfaq5FvWgjLmtzslcW NEHfbTNrJqIF7RmcP6qVW9CVc/1MrC0XM251MZuufoVE/uvxAkYntvwiLnTO bYXd7Fn9mnQeTBOVXd6s4qIlJdi3zLcbPgoO6zvt2rHCvCtLV4kPjSGbRY2H OsBa7/FDKbcXy5aOSHCmO7CxTj6t5HI/xEhMpsqTTigmHvYJXjIId53c5oUH eZDNiNppUjiElwecEvImedg4dOOI/EUBJgbXSvMju6BfUzPWRlPIsTadxzTu RuGE03howwj8zYLis/ndeF/y3lMmbhTKbeZNSUE9MLCLK5pz/IbdeoHMNdp8 vPQpM+7bMQa7dZU/RGr5eOcRGWj8fQwTZfd5XgG94BQ3WVeXj+ORmP1lK9U+ jA7Itag8mMAybk6iKKcPpz5yXZg2k5h/I+DIrgv9sNQ3MUtXnwLjuX0mT3YA lg6iS2QFU7gYnXlflj2AAZ7MRCrnOz5vCZGQ8RzEHUvlYNtHPyBjflHjd6kh +BzVqFN3mEbr1qpaP9YQljyzERbpz+B1HFS77YcRsLcsPXfBLE5m6sooCIfx XFUsP6JuFreCnga0vhDAO/RE7YbcOSzxETc/lS6ATiK5GpU3h2jX87L8TAH8 jK7zF7LnkHVwVxKVLcBTb7floyVz4MtUc0SJADmemVKlDXM4GMeQ2FQrwHhU wN9Pv81h5XuH0CszAhjPb2cs3iJEUlrhb9NzAmx+cLU6RlMIregtiv4MCjcH /Ss1tIU4cGMqM2Q+hTWt/3e22iXE9V/DqmOWUtixN+LuK1MheJV5y9kqFJLa xzyenhEivU8hRsqCgtp2VjUrXoiQ2CBHriUF9UUdRwVJQpyxGt6QcfgnT1LR f32aEPIs1utDRykkRBSPR7wW4m6YbdE9JwpKsvxbkflCuOo+HpX0o8B3lNm2 p1sI40HG+5ZrFDzZ5wIT+oRQTHC9/uImhYwHFd8XDgvRsFBf3DyQwuXvWRX9 E0KYtDXI3wmj8Ldda0inOI31gcvNxFMozEgdj2jToCHUv76kMY3CQ3a8Vsx2 Gs3DXTUpL3/21Xo/cNSlEX406+T+NxRMetNMxPbRoDdbXQpiURDTutvLsqbR 0v5R34ZQmCuNX1J0jMY7prJQlU1hnuR/3L6epOEpHAnhFFOwUzY303Sl0Vod FjevloIWU0GMeYPGh+Cp07X1FFK3ac0p3KbB3OOwKamJwhOnAhMSQuPgM81s Iy4FhQWjgVZMGmonIv1kOymM7T9rfDCahuhSoSGvi4J83yWjcwk0PvlWlAb0 U2CVrfuwNZ1G5NadYYeHKASFm17pyaJxgffkiDJF4XTERpHeTzQsosTWjo5S GExJrzVh01C38Gj/a5xCboVnpWIZDTGRuuTwKQo6LHuT1BoaHTl73BynKRiJ RtkYttJguSX9XE7BWmufA6+XRpTiogn654+Zq1b119M0/gEK0x17 "]]}, Annotation[#, "Charting`Private`Tag$2601315#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k8lN0XAPAhUiqUXhEiqV+LkETZjkTJlkRapJIotElkK0rSIpKKbJV6 K0WRLcrVGMZuVvs6yT7bo+zL775/zef7uXfmPs+5955zZq3bJYezoiQSyUqE RPrv8/d7Tmbj8E8oMc765vmqD1EuLNfQF/wE157cnPkN/ajvaKTnxumfsKWd 3lFQ1I8W751+rbCQDDNLKjs1lAeQhs7lTsnlZHA5ZNyi4zOA7Nb8VphRJMPi 5cwPfz8PoCuSx5y4G8jQy47LVh0ZQPFj9bGd28iQmmugXKQ2iPI5e2objMjA rl2KFjgNokbLcGH0PjK0RXHkRW8PorGsEjkbBzJsI/u8MMgaRPrBu05XepIh +ZffDmJ2EB3p8Y+M9MXr3whbvHDdELq+L/ejeSgZKt+cq763dwgVymqNlcaR Qc9hMCDy3hBqDvRRvJmC19cOCtz9YQhNdH0wNX5PBk4Cw3WUOoR2flJ/8O0H HjeNsH0sOoy+ma9WzRkgQ5ZbcFH4xWHUmuFscXmUDPoleZItd4fRlMxTL805 Mvy4Kn4h+eUwMuiQzsuQLYMTY1TvKNowKrombpVuUgZP9daG5W0eQd//FVyN jy+D9tEgL0btCGpfqpnokFYGfRtU3TO6RtCMr3eJTAb2bWMvQ2IEGUPfomhU BkbMuENxclxU0tSWcmeoDER6crfbu3ARWkSl+ptSINLP/nJiBxd1XxTj6lpT oKTsn/NDI1xEYu9eMepEgYo9AX7SM1xk+uq7yyVvClixaNKtCjxUuitH6PmM AibxN8SiD/EQ2StF8egIBSQsP9ZtLOWhr4Pe3q5jFDji8lB+fy0PvTlnUHyG VA4jnR637Jp56I5H07GLK8uB88gtUVLAQ5Zuy1/cNioH/8O1jo5r+Kjh6B35 rIfl8J3KeXjXn4/aLS/8s2BrBfwODy1sXSJAdVTDs4v0K6A0q83vuYwAleyV zFu2G3tYv836HwFKM3/nKO9UAd/KZaWS1wiQm2nPk62hFXDxtlRFu7YADeg7 rThSVwHoffXL0UMC9HeDsXTmBSqYJam8FHkqQCYcM+r961TYaDmwSztRgCJT LG+eu00FyiqfbucUAZJb6chfl0iFT1THF3FvBUhPxLvhBYUK7SKRqQV5AnS9 LSEmSrESQtLXNdWxBGgm5o+0e1UlhBkHro+WEiJz6ynqblYl2F03PTW1XIge LiSFqXRVwopZlqvbP0KkHLpE0PqnEnh3qDQ1JSEy8VKjHVStgqzqha88NgnR TXP7WAiogpnWjxaie4RIdPKjjOL6aiCn6L0u9xUixTqzUdCqBjvroI8+14RI 91UL231XNRRK9UjJXBeis/slkrJsq+H0aPukdagQVSa6rTfzr4ZSEf+/CXeF KMZAweA8tRpeK1VPPEgSIqWQyDMF52tg50mppeOlQrTDXnlv+9UaeLHpNUun TIjs1HM3ityogTlX+Qfe5fj5anu4VnE18KxWms6sEiKOkvH1zqIaUHtM3hzG EKIPP0Yfii+thdO9R/dY/xIivflT+YeyasF/gX4hWZRANraltywKa+Hb7bmk RDECnUlSOaBPxvMZ34gLCwkUq9/Zv7qxFjSvlS2QliTQ4KXjCpzZWihr65zV WU6g5G6nkMu2dRAqdi9aTIVAImQrs+iROmBbevR07iSQvEyG1M2xOuh6/5x7 zoBAmq6L2y6T6qHWwqNQYEigY1PUq44r68E3Z1XcpAmBcnUs3ioa1cPhyZhH AnMCeaTDoowH9aBquuHsNXsC1Ubo1ldsbgB6k+aT/rMEMpCuEX28owFIK1eV WHoS6H3iaf3jpg2wXqk08t05At3OevSS79QAprppkye88fzmAV/5cOya4tSs y3j+lpRVXk0NUP9AKr07iEBy+dttdDn492KzXiiFECjCtDpsbqQBjtODDxwO JdCXjGm//SI0mByeHCffJNADtLGzQ44GolpWAeERBDIbvPVloRkNIrQ/FMVH EyhQs77aex8NLgcvOZ75CH//qsJvmg0N/tTGsspiCLRm7rNCkjMNJARPjw49 JtDkio5bWhdoEFfKaVZ+hucb6TsdSaBB+A4VKdVUAqnEDk9+4NFAz+QuO+kT gUpO3/yQM0oD9ty1ve6ZBHLdLnu0eIIGyatlRLZk4f1pNCisFaVDyNPnzl8/ 4/1Qvu/Pl6ODEon+7nMOgVZkbBzVBTroTL4rcS4kUHbw99fG5nQIcoywFP9G IHtbe4e9++lAaL7QyMaOEQRkOx+iQ9bG0xJixQRaqk+9FORJh51VT9Se/SCQ OOXsCIqhw4ayQooPmUBvnk4mVcbT4SRpz1lSGYHMPaOt6Yl0EHdceykO+5Zk XgYnnQ6JV3zJ2RQCzdmLnRcvpINkwP6wjgoCTXS8/m3VTYdPla2KQ9UEev5Z 7+mh33RwL+YWudcQSC+82txliI7z6f/oHdjX1In0C3/o4PLdxaOmlkCE1263 2EUMsPVMsYqvJ9DweFcnW5sBlE03MzvoBMr3jCFb6TGg3OWUgyWDQGFNJv8i QwYw3r7bmY0tV5By4cNeBui83lMXysT76398JsSFAdk5bttE2QRa1ifZLTzN gM0MrRlX7GanojIPTwa8kh6TLsK+uEPhgb0vAxZuWCPn3UigF38aFdSjGBDh 5ZFf2ESgs+6RswnRDIg6HsORaCaQNmtHz7InDDAtErg6YVd8jX8/nsKAw696 rYexhb4O+jVf8fNbikkvaCXQd46Iouk3BiyJ8mGbY0c6ZM/lljCgNmuWiMBW 0pGpSK1igFfkjB6pjUCWwjpH3y4GoH9aJjnYsqdDd/b3MmDEfzZ2VTuBOmka Si5DDHjSJ7hjhe335cEvi78M8O669fAjNqgaUoumGHD9w4+0FmzJ2KEMLRIT nkqQVi7sIFDapf2+CkuYYGdcqXYM26trwumRDBMKaT0l4di6B97vWiDHhFdX N6N32NWaEiJcVSbI8935POynqfm9pzcw8TIcVZlOAp2S8qhs3MIEs/C337Sw x7iUmFI9JmiWLVb3wv55wu/qDiMmxKprjkdgP6xb55yxmwkUuzTdVGxnY6aB yj4meNxQ6sjDVsu8tSbehgmK42eENdhcJR3RxQ5MsBLf7tuNXfiw53eoMxPK 5i1OjWLfmomtIlyYcGn/ke9iXQSy9THN9HRjAumQ+t2V2PLt/Nh2TybcTT7z Uw2bY53md/ACE9QK6r21sDOL7Y5U+DIhbq/yXQPs61vmDA2vM4ElunClOfae pEyVL6FM+P7NRNYGW2rJiQXrbzPhpn3IHQfslqCl/YlRTLAs9/V2xn4zVFwt 9QjP12aXH8O++PzAOq8nTIhy9oh1wdY3/xVcnsCEnVlLu/4zSejPUk1lwtzm SznHsatTJLeGpOP3+bN9yVHseKvUO03vmdDmRhpyxHYd39apk8WEZJHAAwew N74p13v0Fc+P3W1kiS20PxozWMiEErHZL4BdNDvSb17CBOF926wd2BEZYaYv y5iQd5eluxnbznll4nQlE8wTdSyU/4uX2Hvh4XompCdIdEv9F68vhlY5TCb8 eUGIz+N4fzzR8HpZC16feFzAxTYpGDtE+cWEtPVnSiuwF7nf/6QyyASfX3Xy 2dgMmTXiwTwm/P7hOp+IfdbLIn/bJI6Hl0ugJ7bmqhap6DkmyBnMLLPBnijz 8RxYwAK/dRu3/3eeHirHy6dJsYBhd2ubEJ+/w9X/uzIly4K79R1LaNgqAcVV Tgos+PJbJTATO4fGCVqqzoJNCRlS7tgtt7d1BO5iQWfA2I5SfB9ea5fvYJuw QHLZ+4In2D4dRx5pm7NgFZtJO4tN0g+DfjsWiBGNNeLYG4bqXzm6syBRZfkf XXwfBc/cpj6fZ8EWtGb3LL6/RXvGHJZcYkHIVenNFGzbFGUxciALrGzJdFts P3sfD60YFqhOnLlr34LjNTtfcj+eBb5DEeRl2BIZT1b1JbLgmVJVShXOHy8W FFcmv2HB0w8NesbYP/MXb5EsYoF6rpnISpyPpJTf8Xt7WSB4Y3Q+jEUg08O3 O34NsqDe/Pvvrdi+MSdrODwWWGRo6LfifNgoIv+ue4IF9P4rx7SwU/uiXNuX sqF+4FpmDc6vml+86pi6bHhOsW6rxfn31ODeYsYuPD6xhu2JHae27gPdhA0p p2c+iGCPxbdFNFiyIf+YXd+2OlzfAm2MalzYsND5ztcInN9t92h+JEewIae1 QDBKJdCNEMnEn/fYYDgaWRGC/SWvL7L0ERv0Fq8KFcNeuTHNrSSBDXy1tmgZ XE/al8qsLvrEBsUVkfsUcb3xaRRGZbPYcNyk3WMa4fNwPs/jpXojeB2MSxvI J9CQaWbUks2NYLwvYeVu7H3ybzP8tRrhot3YnoQ8AolS43k2Bo3A2rSPaZaL 6726n//kATw+PFMSlY37ly6dSIfgRnAs91Bp/kig3U5f3ooxGqGZTo6/m4bj pfGeeqmpEejbzJcV4vo+s+DlYGt7I+BWwro/BeejnJit2f2NEBMlomSWjOMp cynvxGwjFGT/IzuYgPN7zdby/I1N4G/98u0M7h/GTD/2nrvZBB8f7E0yuo3r w5vhpICIJvCJPt57+BbOZ4s0DkXeawLyriL1y+F4v2mffqY/aYI2ZZuHabif 2XAyK7XzXRNkVgfOCoPxfQjNPuJIawLNSxPJZ/0IlPetoBbWNoNjcLTPPXd8 /nQouXJlzVCzySSoYTd+X13Vl48rm+G6+rlvsaYEOqIX8mBpfTMUWY/R7YFA hga6bqItzTBirhdbZ4TjZ/ZGmsdrBou6iX3f9HF/cTDCq3x1CyRUH245upVA GZfNVf18W6DuwFbln6sI1JVFeUBf2wpm8Q66uoNCROOKjej8rxWCA9Q/5fYL UamGhU28Riv08RX/0e0TopcZ5Uud9Vvhq7RWsRbuf93+rYhut2mFvfllLqs7 hKgvpTKmP6AVhLxJxR80IeI+rH0yW9cKLvmUr7sKhGjai5W0KagN7msPkuTD hWjLbok5j+J2oA3/L9AQ/5/Y93qtZ/aqTqhfb6rgFCVAAcon1XpcumBxGqvN +g8faYw4LWmy7YYR4dH7f8k8JCstWESZ6gbJGZdT+se4SAwlfV6X3AP+FnMH +dxh5K1b3LLYmgPdRo7HOsyH0Mf9bi9Lxjhw2VYlOzViAP0dXi3T9+wXyOVd 9bha0YfyDu1bEG/eCw6H+Y7mZb3opuWdtNy+XjC4YT8lS+GgtR1Wzel3foO5 Hj8oPrsbGehHxCvo9AHr83ykRVo7clnTMCnC7IMjO60yQgeb0N/qaM7l8H6I lUilbA1joAQxVz8H9QEYqPUcMLKsRrKdea9FKQOgKjNIl7ErQeKh4Y67rgxC mFnB231xcYj0wfUzZ8UQyNy4UbmLkwu+Lz5HryAPwbm75KxJ4yr4sSVq0fKL w6Cd7nfB5yoLllv5atySGoFC6ZzguKPt0L6Vxgz8PgJeTymPfFs58CUV1Htd ueDyi+t1NbsfTnzWW648x4VAsnrV0sVcnCcmpGgkHmQmV8r3rOWC1MKipbcX 8OCGzavAcgMulLoYLxpcxIOtDR8GS3y4oCZpPp8ry4NrQQZ/A+hc6HM/yLXZ xIPJprBilVQeXFztUxXiyAMX1e2L36gJoKJ8K1XLmQcvvdp9tmkLQOUKn8I5 ygPS5gDjKmMB0Ki+pZYnedB7vixS/qgAdK4FFqz04kF1Qc71nbECGG+IfPvp Jg9ipiv1n5KEEHbnVXh7Bg9sCk3kng8JYVmAhNXpTB4MW5oFv5sQwotzF1b0 feYBRTnYm7KQgK/Wu9L5uTzo2xx1XX0dAX3L6RRRxMP9spV+uAsB1qmkRZuY PHjICDVqoBMgV3Dy0bVpHvjwNldNUUch/X354alZHixcrqPBbxoF7RdbVG6S +PCziK061j8K+0PHP0eJ8yE5TpdutOgPhOyJoSdJ82Fsha523v4/wGkoWUle x4fYe+Nez2l/IHNAOUnKhg+6864LGYK/EJVy51SnHR+uVLnvmxcfA3cH7vqs g3ywr5RNcFQcA6Xv37/YOvPhS326afDeMbgfc7zioRsfSG9kB9mpY3BOL1Eo GciHnmWHy1hHxsF8mFTQGsyHvRklK2SujIPKy3MhGTf4QPU7vujevXFoXLxT wiqCD28iN40ZFo+DRUej0r0YbJeN4r/XToBaxEpLiX/5MDEhrU+em4C5nSHL mt7z4ddvrUEFpUlo4f5i/PuRD9pXstCvXZMQ6/z1xN5sPjRKTK/57T8J85sd rt75zoc0pa8Sp8cnobXr204nxIcWi5m5xQpTkB+/dk6dzIe1T6kd7oZTcHFO EEWh8sHhZ8cNt1tT0E6PSV3A5EOQhYgKKE5DYeT4GSabD5ZWp3N1zach3vDk pvRmPkQ8HOMGXZwG67eauWadfMjWqGDHUadhw7FngSt6+DDpdOJM+dg0iErP mXB+8eEpdXWk9MYZKLpeVxU+yAd/raRA67gZeLZ1R8zBET4EP14Vu712Bq5w kh3X8vkg8NwaaSQ5CzbPxVYLhXzI2ddQGGw7CxttfLpK//BB7JJIxYvnsyAm wnoTO473Y5Aj5jE8C915hl6npvjgm8YQHrSbg+9e6Vras3yYP/iv3NX6OXiu suTv/Dzeb2ooZMzOw/8BcLZRdw== "]]}, Annotation[#, "Charting`Private`Tag$2601315#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHlUjfkDxm+YKVIpydK+MZLl10kb4ykaWgctJCJlSQuKCVMRKhV1Q9rQ okZIJclafcm9bVp00yJtdymlum+ZFkrvO35/POc5n/P88zmPpscxh4MzWCxW 8M/8v7/KFivMDOKAtF5d1MjrJaF+xtkDoRxEe5tsuqPdS9IbT9bcv8zBlKj0 tkJyD3lt+njkcAIHnfSgqrpxD+lOo5SWZnAQM/zX4bReEWH9unK9KIeD3SXP My+ki4iGr/f+O085CNV0eX12v4hY8LIj3N/8ZO4xw5fLRMTDpCdHrYaDUktT W+mvQnIhVauhvZmDxD49j3tESMq8byvvGuRgqFV+aY6HkBT2+/jsHefgm677 8VVmQpLlZfbKk8WF3wJ2kcl8IQk/1OJ6VJGLC77ZvPVVAmLlIZ9ycT0XMjU6 Hu8sBMSU39UfuZmL6IAIXxktAdFzzzON3cZFmk/tb1IzBWTuXtuPSQe4cN8m 8WmsnE/qd4UvyrvChYvJu/fJznzyutXRqzCBi2UOhzRCzPjk0U6t58/TuXDM 1al5r84n15zJzrdPuFiw5br48UA32bH9e0JrOxfMhE1ex6Vu0m7lt2DmynIo vnGL2Hy7i9RWrDsoZVyOkpTiL/DvIqWb5xTJWPzc/zEyffhHF0mzzHZa5FyO 6Vzhgzqqk3iY86+vDCnHNzVZyQ6rTtJn7KzgUluOv8t4m/KlO8jY0t/lcv0q EJR7ol2mvI1sEGysiD5dAQ0n3fEX6W0k4rbVOa+LFYiea1eUEdRGlBSdKO3k Chi4LNRXN2gjRhI+9SmcCnhd9ztXkPGRnP6UxI5UrkReetxV++hW8oM9Kneg qhLD3bu46UHNZMb3nHnKutVQqrMe2EB4RLl2479YXY0mN6sJURaPGGZ8bDpg Wo25UdqXUqN55KC15M08+2rwIz3dbXfwSGWyh+7GwGr0hbX6RIgbCNtssdmR imqcqLVc7qLVQFSCIzyfHXkH/XtWBhf164kR4/7UMa8GJsffevlurSI1YYZ1 5Xr1SJcfk7p0qYSoxw18vy9+D43GQH7N1gwyMNHV2bSGh27zI04uP+4g68ur atnYRqxJTdF1XlQMWdVsSiT6AHP3GhSXlePKkaJD6TrNcBh6OaaQWIdx8xyR 17kW9JHq6CqvRpw04DxRetsKR9Vs61jdFnTlcS43aLahLNaVhSWfMOX94eby vz/hhmzTqvbPnVhhIUkfetUOlV8fW64y4GPLHc3DBQs7cdvtrnG8rBCnVPdp 8fd0IXKjpoU9VwT9QWfpFvtunOWxZY4d7cV8uWEpzmQ3UoXDf74x6sMscjNf +xYfsydfLLva3g8fw1cfZ9sKIE6KeNyTMYAca4/00nEBPJ6uY+J2D2FsYMm8 3gQhlv6tkNQzKkaR45aZ8ZYipHVZB+rtHMY5q/C0J70iaD9LcDXWGYFmh01r ZngPhpSED08OjsDMOCx+sUEvDs3fPiLF/Yo9avXfJRp70TN72bfk2H8xVh0j OH7+M1inlWWKvUaRNGvvSQedPvinRPmuNxzD/M6iOzM4fTjRGONZOjWGX0LO O5n698MwMO6L64dxsO7vzRcofMFao6Lm4dQJBKTkxyiUfYHc/Qrx70HfULIi Ukr+6ACkttcMFjh9h7xNgP4F2UFozL5bJ605ifaV7xvPFA/CPuVB8DfWFB6l Qke0dwglIc/erW2aglu+kbwqPYRrzxYGcu//QGh4xvn2B2JIBfpWPkyahswp SZv9uWK8GB2JMr81jRQvP4XefDHeho6taEqbRqGtaSb1RIy7LHMViexp9Mo3 cGYQMRbucPjhWTQN21SW1PJGMbT6vrq58Kah9Gxf7F9TYmQ5Bu1RlKGReY+7 Y3JajMR7RSnV82isSVmhfo5FIZed/L8LijSsQybyI3+hQD2qPzumTCN4E7vh phwFRZX3hkN6NAT1pYpl2hSMJZJDl1rTyO1TvSlrR8HuyPeE8QgakbfD3Tv/ pCA9sI21+zKNAw5DunnbKeTwvHzK2DRUiosf2e+k8PJzQHxKEo1o9u7yKx4U TCc3hAY8oOFllDwy5wwFlQWL2c11NCwHWM/agigcd7AzCWykoZ7uFfzgLIVr i+YnLWml0TzbRNImjMIDWqgWwKfxR0ezShSbQmXVJdv9ozS0whStJO9SKAkI qQlQZkCbBMu03KPg0rbC75QGg49DQt7dHAoV2UuGw3QZxO0sdNtcQMFRuPxU 8WoGjJ7DifBiCpkFtZK5lgzaul6YOBMKy8xd5kjZMHgar0nrlFEIp1/M8t/K 4Cg9HMmpoBBVViQ47sqgvYGdOrORQt34hrV2/gyeR0x4NjZROHDiRozZKQbx 6/Ytz2yl8IGMxm4KYWD7z6onGzsprJoobymIYrDUNeGMAp8Cz6GQrxbHYIYc vUEg/Pmn9NGwpwkMXp6urTrfT2FT6+7u81kMElauZW8fpPDRLNG1KoeBv+CW kyb10+/KLBwsZGCXOGvJyAgFvoWowecVg9/sfLtej1K4rO9hwbxlMEviQ1bc BIWY+MrFu2oZdBet83afpLAyMfNGfwuDYu/M1WumKWSpcc7yRAwS1aXHGIbC sB3dUc8w+A9Flx1K "]]}, Annotation[#, "Charting`Private`Tag$2601362#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k4lN8XAHCkkoRUpGhBki2VJVkOJYQWIkuUVEiLQpZK1iTbKBJJKcpS IdmKuhJG1mHG+pU9+8w78ypr9Lu/v+b5PM993+fMOffec97tTu4WF3m4uLiM ubm4/v9LCpaJLLtdCTvElHQ2CY2gwKsaGROBlSBc8DLXpnQEpdK96rMiKyH7 rMiqSL1RVK6Zz3FJqARVoXDhrSmjqO8FISr7shLC3NukdEZHEdcKJe2ht5Vw l2uH2LTcGNp2xe3cq6JKsNxpzRXvNIb0WzLCHL9VwvOFNhd2whhy2v/r7Zb6 SljQY/OoUcdQ8HOp5u62SrB+98FL4fcYqnBL2Ww7WQnRzR+NjxiOo49jly+f ma4Ej9UufXmXxlG664HS81xVIFCXlUKJHEf3nNvtrq2vgpjma6PWdePI2Gnt 0xDtKijbu7PcVHcCafb3joUbVkGs1c83v2wmkLxjjmbMiSr4IeH2r9JjAgmc Me1MvFAF8gb5g/fSJ1CT7b2NOVFVIDhyv1OOexKVd5x0/ZhQBeGBWukiYpMo z1qqpCS1CkT4KzQjFCfRIytk/b2gCjJqrYU1T02iU+ZzCR3dVfBC8N3OTa8n Ubfx1Q3LlKrhik674npVJmqgal3k06iG8X/P9lENmOirIX/hGv1qOPc1itS1 YqIXBhmWG62q4fl3HaHQm0zkpNcfp+RfDetOxpfGfWSiUQ0rEZuGarAzaTzP vZOFOouknRzaq+GRl4h6oSoL1aqRH5z6qyH5qunqQwdZ6O0+ivnVP9UgmjCp y7ZnoWu7f8QGS1KhXXvAPSOWhf7I6gi9v0oFO8IhSJZkId2Bg9QIXypMPQv9 r3GJhcJSjANcQ6iw05Btar2aQKLrLQnpJCowd1sw+WUIpM59uelpJRWubm6/ s8aSQL7/JVLCN9dAW/1No6kcApUnPDdylq2BKJ4j/35+IhCfRfq/Q3tqYH5j UHleJYGSanLd/xnWQMH+gj6hLgJ9Lqw+7u1RA+v1A4x7udnoL+W30IUfNcBi bmM/2sVGBqbzVH1GDcxU3S60V2ajqBVcgVt7a2DoxocliX1sJOm/mt31uwbo ku+Tg7TZSNdNima+7QccbJo93nOMjQIMTsSCzw8QKcmcXbzBRjxzb4U376iF gWXHTO7ks9HmhoNTsLsW5JhW+/mK2Ej1ZWfrBc1aSC777BLziY0uHlmZnHO0 FixdPqMH5WxUk+S046B3Lfj8t6VMp5GNKAfED1yi1kJzf6DP61E2krgTdr74 Uh2o2B+UR+IcpHZC0rDbsw4u+N5zypLgoGMyBXLcd+vg67NJRcpWDgqo72ea PKoDEd5XiUd3cNCAhI5vz+c6CCQ6MxNUOCjry1TUcoF6qM0b0nU05CD1f45F J3PqoTHqxSyXOweZHS0PPlxSD1ZRE6pnb3DQ+eStxzUq6mHhk+biJ08OitXo GdnUVg9xYWqGF305aMz9tPjAYj38vT1gEBfEQc/6rO5cP9oAZ6YXt5nHcRB3 hcnB6MkG0LLWEfcs4KCNwtmCAdMNYNMqUXi5iIOUz6z67zpXI+y3tnc5V8JB dvNUT8v1jfBs/IqkQRkHFew9/HqzdiM8NpnaO/Kdg5zTgC87shEuzItxZbRw UH2oamO1fBPEtnPOS7M46IBQHc9DtSZwHrocN0pwUGbSOY3Tek1wnnKuLpvD QSE5MamEVROsTnd2kv2D13eMemwMaoJh/2cR8wt4vUKKmFt7E4y1rEkUX0Wi g2PBeSsO0mD98eB6o+0k8lNurL1sRAOZgzfEC6RIlOcp/otmRoOho9KNkjIk 2rKUK55sTYPfLWv8xmRJNCfyM3j3VRrwK3pvdlLE67U1rGwSaeC5VqywS51E W2Mn5rJYNHDiWXts7giJvp4LyMqfokGsbNomXlMSndm3zrZ0lgYqHsODAmYk etZ2oKSepxkEP7E9Nh4j0UbJCG9CtBme3wzJFbMgkUi23JQqNIPmyOjfYlsS fbhd9krHoBlEezqPp9mR6MTRExaGR5pB5NRccdRpElHYPh+sTzaDqm9Yg60D iQQ0qO63XJrB69lLtZ+OJFpeeXESUZrh6UNNlQgXEqU/nkuuiW+GB9O9/tau JDJwiTZtTmqGSbvsaalLJArmL8weSGuGmMmOawVuJFo6wXtpeUkzGOs7p3y7 SqLZn69+mfQ1g3ddGX+YJ4me5Ko/PvmrGYbtcl6qe5FIPajWwH68GSK7I31+ Yd+UIdOu/m6G6v7iIR1vEpFu+k6xfC2w/b7cr05fEk3M9Pa0qrRAxKLcbeRP oiIXSoWJegtw1ebMOd4lUWC77huk1QKqWe/9uQJIJFqccjXLsAWSym8nawbi +nqf/nvHvgW481NPxgeTaM0wfx/nXAv0XDOUlg0hUYfV5+/OLi2gbzTNU4R9 TU088oRHC0z9jZtpCiXR099t4jLhLRB/fU/nZBiJLl4IW0yMbgG+n6lm7vdJ pMJQ618T1wKCwTJdBHb1x/jMmZQW4PE3Mp4IJxHHw0Kj7iOO1zLrUV0EiYw5 DZYevS1QJiQxsjeGROvO+e8fGcLx96yMeILdQ1OUsB9vga2H3trOY3vlRQ4e /tMCMnIhIZ8pJHrhfsRDfDUdbC5yb9vxkERuvbNWMcJ0UOXVM7qNrXo8U3OZ KB0oQb1pTdi1yiu5mdvooFjoze35iETTzEpKuTodJidlLqfHkeibg5enmjYd 5svi7SaxoxqkrbP16TC+lHF/bzyJpN4Hb4k3o4OP0Jfnn7CZEnt5VlnQYVb/ S8Q8dklU/y9/azrsLnAo0XxMoqNX9N67ONFh4/Ir3fnYG7uJ2G4XHE9qPWMS e8D0hZf5VTqsWcgX2ZFAIl+FJS0tXzocqx92isVOHy+tFYyhA8h7u1s8wfV4 clzaLY4O9xPPDfpjaxgM3q5KpEORj3hBBnZtCr/SnTQ6hN51dp/Gjjd5fq89 kw7p8QWnNyfi8zWzp2dvDh3sF/UydbE5J2wpYyV0ULnidzEQ+/Pi5IjBVzpU NTHan2OHZgfqpX7H+T3c8L4U+5j1+qSFGuxYjdE27I28mZxTjXTQPTpyn409 kKdlkk+nQ/5UTjRfEoneOjS9WtNJh5KOs/NbsHWLp09WDtKBT+TLaiNsvgsR 77aO0UHUe0W+DXaL8Jblt1l0uKDtWeGK/ezLB4e2KTooKDbp+GBfdDtctGeO Dk7TQzKh2MpinYLRS3So1bjrS8Ge/X7FZXQZAzi3zmsmYVdc5yo/tIoB4gfs XV9iR0nGb3whyACtfuUVmdinanfemF/HgNGm1HXvsbf6lP6wEmeA+mnvh3nY o9LHpT5sYcC7Jo/AfOx82sAtARkGbPC06f+/7/h70112MeB82GjBB2xDeX7F 78oMCDEaXMjBFm5PCd2iygDVqZXF2didIXt++mkygFa9fiQd+5VKlVqrLgPE eKhRKdhXftrEqBgw4PdoV2Y8tnrE5HDkEQboV63WjsDm0giEkWMMCB1dZ3QX u3ZwXeJBSwa8fP+u9jp2XGwGO8WWAQm3YqjnsO11tI7MnWGAcsV1XXNs2fHG l5YXGPBqOb8KYLMTnOZzLzHAsk0oRQH786Fpi9XuDHBsVw8TxT6aIslb4YfX 2xY1jeD6ipp8sJcMYEBguOeeRuy+aYNC31Acn+FmkY/YXieuOO+mMGBL15iF L7bu4r+vEfEMIBSuFdhgr8yOExtOYsC2lYlPNLCfLiuteZbOALfX0b/YeL9e yDu2fTaLAVcGc83rsJUdBvxO5uL/kyZzMB37W9EqBf7P+P3qWfnm2BHnU0Iu IgasyOdTlcW2FN7TXV7JgKXldtpz+PyMXrKJ9mliwKkzrkNPsQUlM4ihIQb0 C2xPr8fnT+9UyM/BMQbwftm5Lwnbg3K2boDFgDz+1LsXsNu4N2b0zTLgBe+4 2Qw+38+Hw890C7RChdQAYw02betFs//WtoLVS18rGr4veGz1D3SJtsJ8/K2E h9jOdXMbOra1gnRH/mlhbOU8twa6ait8NfLk+ofvI8cxw9IWzVaQHx15WIz9 SEo6q1m3FcR9U0auYU/H/xfaZNwKvkVv+ztjcb/0M9Ous28FvV4byZf4/jt6 SPltRWgrqHc4iP+JItHdO/xJ3x60gtSEiOxT7LzC4bDymFYIdDm6pIO9Xu6F 09fEVqgk164LjiRRt4Dwps/vWqHVYq5z4QHef22c8A+MVkjblKNdhO/3qEuF zqkybbDB8uv+I7ifjOu9D18t3wbh9X3xX3C/Mdr4Ott7dxt0ZTx8rILNQ41n mR1og9OnKGEiuD/5yXh5zx1vg7y711Wrb+F89O4Ns7jdBrONr3cxb5JI3yrv NW9LG0RVBb3Tvozzq5hJdW9vA5ZbeWAY7qd/l6WOdXW3AZ1vDV8T7rcl+RSl DyNtcEni7h573I+Vhd0LHRbb4NRD5wXniySSqFOqKpJrB7SNi6p7FudP7+2Q a0A7TJqLL5s3J1FZ+kSyT2g7/JGE4V3YwXyKJ8MetMPfSwb5Nifw/qC9+5YW 1w7CfpIrPuJ5Q/ZszvOejHYoFTN+bYfnk1P+H2wsae0gRvHh8TYgUeGn4nrY 3gG1L9NUetVIdEtyNuSYbAfsmbP9MqmK91fQfi0HhQ64e7tPa24fieqNP2Xd UusAz7OXhIT2kmio/XNY4ZEOQFfeiikr4/pMf9FT8OgAqebNw5p4nvLaW1kg +r0Dsovz1SM24Pypbkt9WNMBGz71O51dTyIb9TuRAo0dkCqz8fS+dSTSOqDq xNPZAX+/V+e1C+N6HEwXYrE64NJmk7m1Anj+MQ91q9rUCUuxnbpHeUiUfd1g m5dHJ4irJkX2MTmoN6cysnl7F9D8DQrCv3EQjck7uXdnF0zzOdPEyzmoXPGw WbxiF6RdDqZnfeWg1OwqAWuNLohzDqFUl3KQ05vq6G6zLogxChgiCzloOKWG MuLTBeNrL6uIZXMQM6o+brGhC860/S6gPOSgBTdG8q5b/0HN19oREwcOUtBf ueRc2g3y46HZj9hsZPRqu8sHsR44IHHGNcuNjXwkz0r12/eC35cdagNfCKQ4 abW6/WgfbIlLsf+Jv8/WCbH5Kuf7QL78XYa5IhPxouRc6Wf9YLZaQT72+wS6 rFraucp0AJ5Tl+ZIyXH09ohT6tfpAZDZfNeX6jiK/kxsEh5OGASe8/tstV4P o8KTRsviDYYgR4x6ODN9CAUY33tRMDwE/NFKukUZA2j7T5OOtHu/IOJHhob+ kz50QCM0XnzvMIRO8I+UXetG9lua5rjpwzDJH6YSUdaO/tRGD1wPGoFytQ6d n6daUCLvGS8LmVEw9lfYsbTwA63rKXzFUzkKeas2SFz99gUt9w+y1LwxBuXE g+aY2FjElXUmd0BkHGi2R3io1oXg8TQ3WqRiHMKvi7uLev6ALwrhfGuvTUDm gVw9k0gGrDXxUAwWnASDL/wr/17rhm4lGt2vbBK6qx5Ptw4OQN5zkBk6wwR5 3qy7SZ9GwCFXfa3kEhO6zlO7OUJMKLKbFaRxsSBMwuVxuRwTBFd8FghZxoKf yokOL/SZUG6vwzfGx4IYrxNPoj2ZIMVv8K9gHQveRD3drtLBhOEL5kyzXSzo kXWNzk5nwbVNV37csWRBxjvFE6U72FBdpUTdbc2C6vB26uF9bNh6g6gcsGXB /qY9b7v02ECjepQbn2VBuPwOURl7Nuy96Ve83o0F5iLBWvvj2DDTFPb6XQAL 2MWZkv7LOBB472VQdzYLWObLBY4xObDGZ6XJufcsUF9cun96gQNPXa+KDOey IDPPI/rmKhI+mmqmEQUsCFLPRk07SBhe21zJg1hg49uVv+0sCabPufh20Vmw j2vN91MMEkSLz8bcXGDBo5GPH0/UTkFaZtWp+UUcf6zgiH7XFKg8VdgawEXA bLJS1uHxKTjiP5MbvpyAqCHqxD3+33DnEKU5WYiAdZZdJhzT3zDQ9HV9hTQB CbuMRkpafsP7UclkQTP8vEqRaSn5B8JT7jn2HCPgTXKa59DKabhgwdyRY07A tuR76WqS0yBRVpZ31JqAgZr02ZPG0xBBOV0d5URA8FfrFymp0+CqnsTh9yNA 0+JVj6/dDBhMcBV33SbAdUKEkusxA1tTXe9k3yWAp4foko6cgbZV+1eahBJQ cefsyYayGTj8s03iAYWAsZhdQ07SsyAVut545RsCTDLtLES55mBp/5017ZkE rH9Qe9tVcg46mYMtb94SoNNEK1DUmoNY648Ohh8ICF3nmCDlOwf/5C0875UR oBQgfzJsdg66ej/tt0IEyAXmTcttmoei+O1LMhUEbJAudPTXnodrS+zwSioB NqlRb6+GzEN3M+X5Mjp2bc1jJYkFKAmbOU9vJUDCNMBv8+EFiNc6uyutg4Da /tpvtu4LYPpaueBgDwFFL7zHHWsWQNYuwU+knwBHOa8nETMLwCO0pDswSMCN Q96edXJ/4bNvw4+gMQIKet85TT36CwlKahTzSQL+2NEiafV/4cbAM8vtBAHp yTo/GvgXwewJ7yYOhwC20qI+17FFkDO70lv+mwBtmSP6axMXgZebkR47QwA3 0B7VTyxCX6GWm+M8zt/x8Vevjy1BmVvabpVFAopPlGvnNC7Bk62r//z7R8BI nEpB9uI/+B9bxBY8 "]]}, Annotation[#, "Charting`Private`Tag$2601362#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVznk8lPsCx3FUltzsrzotkyxpUVI5tNzrK7RppdRto5Ckm0plOyRrKhqH SrIcoY5IchIt6ifJMwZZxpKhwRiyjHkke80859w/Pq/3vx89l3MOJxXk5OQC /un/Wlou8febSUGdaZWzmfuVBD2bsgrSphAnlp6rsu0hXqsqYkNZFO5oX3rs y+smzk8TOq4toRCwfPw3UWA32bvS3TRmNYVLgzpm9Wu7yaYnZlfjNlIQDPYX bf8uImuMp9UmbKbQ/CS7nPNSRAyy63RT9lA4euTw4sZQEdFZlnYu/RCFLLZK pf9eERk1+o967lkKZjEm9jojXcRSaE3d8KMwvG3hheyPXSQyZVuwRxiFJf7P DI8kdpHZOvtpg0QK+z58nMVs7iLm8mdq7pdRcG3lz3XJE5Irxeev+dVQyB7P bHSKFpJyXx8c4P/z52nQ8W9PITkoCcnTHKJgVPhbwKGlQuLXeo8dNZ+DqXDP qPQnnaTkbupWdyMOah99OraY3UmUHTIZm9UctA3L/7ncu5MkcvLOMVs4ULRQ fZW2vpO8flG+x8ebg9gZRxUTqjvIT/aIulsFB72xUzebZnQQ2x1T1KYGDjJZ Q5F2be0kWlHuqm47B/qXzQpP5bYTVpDqEH+Eg/hPTWPq9u3E0lO/1n5RBfQf J1vmpAhIsO3eWPhWoHnLQ3ts/0IUJnM05i/mwrajgtXawifzq62/YxUXObWa bM8iPjF70NLotp4LGfVL/bI7fHJyu1LS011cbHXJsTGz5xNOostiax8uMnXi I09UthD2hrkbTlNcJM2o3O1DfSYLAiNdi05X4kD1oKk1v4mYM8cL9z2twvG3 annWDjyyc1dJ6OaXVcisshJPWvCIa5LuHovSKrRXF058YPFIrIXg67ymKtj6 HHzF7qsnfeeOzBVKq5C/yTlZLrSeJHc4Bp7fVY1SOjNwUWEdkS+1s44RV2Oa 4LAEy2tJVbjZp/LlNYhmnQqqvcwlurEDk48ltXgp6E/2TXlLBsbbBY2m9ZAz cZv5OTKDZPa/4ard4qEkLql8IjUTaqw/aZGoAR4L92uMDBYj+vQL9zTDJiQ7 5TvZfyzHmFWOyCO4GYHHx3sfXazBpTVlBbM/fEaF23ht7iMe2p+W3azT4yO3 Upk+xG3GD8+GpGUBrUiZkuiK37fCeJOSzP1NG2a9rpkX7tKOrel6p/LnCLDU eI6s6Y9O+LKc9TuPtsOSeTJ5wb0LK8SOqs27OmDYWXBsy8JuaKsPKZdNdcAO 1348H+3BdJKUZ5DcCaGjryud1YszZm9aVHYIURq2t2FFYD9ytrukvRsTIjld wXHYWozRgXkaPXe7oGD1PFerdxAv9m2ddttWhCvG6SZfc2kEb4v4o6BHhLVL Lem0x0PQ+2L3OSOiG4Xuv5+09v2GDRbht+eu6UHZQG5PnOMwji6smZTn9SB8 9ns1D8PvGOXGCM+HfEU+N2K3yfQR3JvudMnBsBf+jLZiX8MItAUv0hXKejFW szv02oNRzAgK2b/+Qh80/uWV/lfwGOQeO+UJtfphJjBXCdszDu/7eTFapf1Q OfMjIXb1BN4aRylreg3AOQCnqzUmoWnnvSJUTYw4xZur3ggn0bayludfLIa5 zSKBlDOFZ6kwFDkNwuhZf/CNjB84lmeuyZINQuP0c7OWKz9xNeJBSFu2BGqH zovn+0gxy1fJ7kSuBKphOV11/lLc9zir1ZMnQUr6neaoICme71ifQRdIYFeR 9H4yXIoezboyBSLBCa+Ssa/xUuxIlVNexpNgn72iYCJfitlFzrcu/5DgOivU W5mWIiPr44EpqQRxqsUbu4elML1vrBssR+OXieGoD2NSbA8az4uaQWM/N5AK l0kRaMOuS1KnEZ1VHDlPTQZhzTudUgMavSyRSeJKGXJ7WUlqO2kUKocO63rJ EJUScVywm8ZfGZRrkbcMbg6Di5/a01ANeWjh4CvDguLiZ7sO0rikfN0p7qoM N9hHyqNdaBgsStiEeBk8zBO/zfSncWbNDbHrKxlsB+SK+L/RCHX8r5blOxl0 0zwCs6/QCDl7N5L1QYYmlXVKduE0vpiGaw1WybD5S9OC62waNuO/H2nokEE/ XGeb0iMadsYj5KcKA9m6wFnNWTRurlaN36bOoGWwq/5RDo2I0VfuqToMYg8+ P7Yln4bfe00jT10GzHKHixHFNAJ8hy7H/8qA3/5qnSOh8f3WsZtWGxkU3taT GZbS0LooPiy1YuAlG4oqo2h01DjmZO9k0FbHTp3Go3HNXPfGTzcGLyPHXXmN NDw5h8P2nGFwe6PzsozPNE4Vrw0pucBgx0OTAmsBjVXx+i4zgxkYHb7rr9VJ 48Eiibw4goGCusxS2EXjvOrMe9JoBq/9qitC+mjcn18ZVpvE4O7KX9n2YhoN 2uFzsjIYXBAm79ejaTSqRhYJchjsTJg+79s3Gn3uRj4xBQyW7vxfe8kIjVa1 LzX8twymyzdkxo7TsJfwY5U4DDpebPQ8PkVj2EZxThyPQbFnxipTKY3MCX5u SSeDBF3VUYahcdZLq6aCYfA3YkQT7w== "]]}, Annotation[#, "Charting`Private`Tag$2601409#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k8VN8bB3BbJSSppAWRSokoEeIZspOsSQsR+iZFklKkJFGkRVIioULZ KpSlI8nYl9ksyZ7d3Lkja5bf+f01r/drnjn33Oee87lnZF29bdz5eHh4tHl5 eP7/qau7PeCqEBXod8i1s2cGUFDOLCVoNRWs7hy5eUBjEF3YXfUwRIoKisvs b1CTB5Fz1rOuu9upsEmWRyV6fBBZKXmoRKlSQeLkelOG+hDS+6B287E2FeoP 0HqjLg6hPYr8jc8MqWAsY6Kn+3YIbclokkk4TIWumz9eOrOG0JodSd7JjlTg M7q92M83jCa26azMPE8F3z8U/1e2w0i3R5967yoVJvTix3KvD6OwBJPg/25T AV5UMd69HkYSa+yILc+pYH5/i5L54DByanB8x5uK78fTf5fz8hH09p6zc2cW FaoKPEV27hhB6rznGl6UU4E3yLXDyX0E3Sj2uXu1gQqO1XZds7dGUMUVfzjS RgUZYt2LTwkjyIF9K3sVhwqnPtolfKONoKu/4qLDN1aC0CrHHZlqo6g0NtHY Y1slSB9wsvpkPooEbVIXD6pWgorhuhX7XEfR88ps70WjSthUNiRPjRpFhXkV h/19K8HBPTWzqnMUzUX/XelWVQkZAXRl6UtjyMB8lqrHqISuoM8amqFjKHIp z02ZzkoQcPnmLf50DEkFCXPa/lZCffM6acH8MaTrKddovbkKbqe+71CfGEPB BlYP4UoVSPNECC73ZKPKRXsTqZAqiLzDVWu5wkZiRcd5/kVWQZbMAu+NO2yU pHrGJz+5Cj7qKPtYJ7FRqfQNK6X6KvAqXSamymAjvpn3Yhu3VsNTYvTp7X0E 2linPw67q2FytY7LCQqB1F63Mt00q4E2q/1yozmB3E2XxWcdqoZvqirbD58i UOVz1636/tUQqecLsREEitZar3WWWg1zE7+tp5sJtCkw7HTB2RowuXrrkeRe DtpnJWXUfqkGVjZbsykaHGQp/1mB90YNcAZPWbpoc1BwbfeY2eMayEqkXbt3 kIN6Nulc7SisgcmquvW3bDkovWQ8colILfwyEgoT9+Ug9cVT+bZZtaB1UajE NIODLA6Vhhh+qYXQzhTriEwOOh0vc1ijrBZoT30u/MjhoIcaHQMbWLVw9OlT 3+0FHDTkfXx9z3wtMBMoU9k/OOhll32gz6E6qE2I66v9xUG8ZWb6UaN1YHWt a2+QIIkkxTJEgyfr4HQh/xs5YRIpOy3/5cNTD062A79+rCDRsVnqJbs19dAu m/51RpxEn/cYvtl4oB4MfrguVZMikUcKCGbcr4ecVG+pIRUS1Yaq1VfsbIBi +/0BIfYk0lpZw/doXwM8vjhAa3cgUdpzF43jlAawdR+X3XuMRLezHiQR9g2Q XWJYSHfC9S2DvpK3GoAVbBb25wyuV0xY59ncAIP1bp1WASTSHwrJWarfCBHp l56ef06iAOX66nPGjUCxXPXHOp5EOZfW/2m0aITQfJ3WPQkkkl7IXh/v0Agx HpTvw0kkmhH/HbL7fCNw6LuF96bh+gMa9kfjGuFfzwOtHfkkknk4MpPOboTk ygp/agOJvrkEp38cb4Sjp3fEKDeRyGnvasei6UZojnuk8oRGopcsrS+1fE1Q MyNI2jFxP6Xu+RMSTbDdz621sI1E4hkK42rQBEnaRdfF/5Ao93pxso5BE8TS 9hXZ9JPI6pCVjZEprg+59frhAImiOVdyHWybQPdwxbklwyQS0aB6XzvTBGt9 ItXpbBItKXcfRdFN8KWv5xHvNIlSn87EV8Y0wY/hy6ZSMyQyOBNl3vS8CT6y 3larz5IoRCgvoyelCQJPzqmeniPRgpXA2SVfmkDI1rT2NQ8XTf9O/mPW1QR0 NZXuAkEuGpnq7GCq0CBcwOyY3Touyj8TXWamTgNKZiwfSHLRzWbdt0ibBrmn A+y3r+ciiYKE8+lGNIg03cBPbuAiff/jc4EnaNDi8TLvP2kuevGXtV4+nAZx zLgdI/Jc5O4WNh8XRYOlehoeuVu5SIWxr3vFExpwfq31uryNiyo+xaRNJdDg BgO1TW7nItLXRqPmEw3mNCmXO3dykQlZZ+fbSYOmy2s2m6pw0WqXoP0DfTSw +7zx+yh2R+OuTSeGaWC8J8HogSoX+eXc7zWcoMGpQ75LavZw0StvU9/1wnSw eB14Q3EfF3l2Tts/EKPDMvEQ72/YaofTNPkl6HBcJNj6sDoXVSsv4x3bTIfU ibNsTw0umhwrjy5Vp8O/8YK8CE0u+n7S79K+A3RQWa13VESLiyLrtjhk6NFB 5MLjqUhsucwQ6RgLOvB/N9wTrs1Fh7womWdc6bB0+XnkocNFqcNF1aIP6HDH oNvrJ4WLLjw7vMXzCXajdME2PS7SMOi9/jOODv5GdVvDsKsThJQCU+jwqfjY ZdDH/bFyjB76Qgd507aF+INcVDg/OmDwjQ7niw4/YGOHZtykJP2gQ+8qZA4G XCQpkEYeqafDwE9F+1/YugWTtuW9dLgmrFk2b8hFgm73PsgM0cHvfli3nhEX 0cSkl1xn02HGs1MjFNvd0zBfdYYOjeYbHvAbc5HyulbRqAU63L+p+JCCPf3D 68wgPwM23H5bdx07UipG8pUoA/zyty6OYh+p3n5xdjUDOK/MJ+RMuEjmSlGV /XoGpDVIKzpgf2zsuSYiz4DO8wuOhditt1V/B2gy4C8rufucKRclq/zcx9Rl QFyyLvcJttfvow9UDBjQe/C7WSE2j8ZNGLBkQIn5tWZeM9yv3tVx+nYMaH/w YcUW7CcP33ESHBnA9SiJ1sfeNlz/2s6NASqartcDsTmxrrPZZ/H1dPr7Y7EL D07aCHszoI6rkJyNHcqJeO/hxwC3H9JZFdiHEqQEygJwfXahcDu2hFnuCalg BihbsYsI7K5Jg7yroQwQYaUjXnMuykhpWcGIYECmWPs6cWw/Ky+P3dH4e2/f n5uxdecXv92LYUADn2OVEvayjCfr+p/j8UOuyWtiNx7Z7qP3igGxlqXN+tgv +IsqX6YyIMhbvM8M2y3HUnY6HffvpYOZNbbyyZ4A22wG9OtcFj6CPb3cn5b1 mQH2XocVHLG/5y9XFCpkgNhU5etj2PdOJ9x2RwzIdvtx9f+2E1NtLy3H/ZqQ zjqKLV1SrrapmgFmaYX69tiDZ49GXWlgwMH9fhpW2B8lRv/QGAzgkVeIMsW+ /iNYV7mNAYmZuQZ62AY+q59FdDLg4e9hJw1sUal3RF8fA1bc+dCuiE05cvt3 7xADOv7wZ8lg+0Y71/SwGbA2bsmG//crtVL7a/c4AzamO8nyY7N4Jd91TTMg Ra+onIv7Laj9N6ZzngEa7yoEurG1/BpDOviYwNBR7KnDTuwPd2oXYcL93W+u pGA3yrhb/FrFhKJpIdVIbD5HPa02CSYo0DzvXcL2qJlZ27KZCZSdOTK62HEC LP7mrUxIMO48Ifv/9aXzkWTuZMK9vPgD/NjKOZ51dDUmdD436i/D6/HUkFER TZMJL0Wv5iZhP5bbkt6kywRPerFsEPZkzK/QBhMmLLrMj6tifwuwOFBzggnn Xzz3uY/XP+ejws5qFybkGWRcdsKWGxWQrPJgwv7eT/Iq2GFOJeMVPkyQXyNx uwHvr0MHld+XhTIh/0Oa9QLerzcChZ5/j2AC8V2yoAI7J68/rPQBE4RD1Wui sNcovHL9FscEQ18qryR2u4jYhsIPTBB9ofRlE84DUaPRZV9zmTDKWEhuw3lB Ca6cKMjH4wkJ6D3DTiVvNuWV4vmad8WJYHuxyPBcBhNk9PZSB3A+Ja6s989p ZcI167lj8diNJhlu2R1M6Iu1fXsIW63IlZI5yIRI/Tr3LJxvc6/oU2lzeP7+ H2JP4TyMPJvnkSTPguM9PGrhOC+HKZnhwjtZ8I8zoieDbSz5JsN/NwuyQlSa Px/Az48aw7bQYoEWy/TFL5y3AfJ+/jOHWbApcEfMOpzHHp17wmyus2Bk0K3T FOd7ef7OtJKbLJAKzP5QhfNf7oFctUIYC5ixS4VNsH8fEBddfIh/f3FXEEUN 74cX5NP3b1kgq+1lvBm/T/Tsc94I0PD1lVZy45Xw/e5Ko3o3s4CnXn/NEuw5 /qShtnYWUIOuNnrt4qIvH6OVcgdYcNp85fr9ini9iHnnnZzH8zlaPVOiwEWb apR+5is0g/gd2wt3t+D1QXnf919wM5S3NaSvwe/f4tSR+CuhzWDn7C7ijN/P IYK7bMMimsGyZs4gTQI/r8YP31OeNEOaRK6mxlqcb85ZiR3vmqHyRKy2sTjO 36Dco3aNzSCnvHd8twgX5X0tqAXZFliYGHi/bZFE16Smb1tuawGxSJ5bFgsk otzar31SsQUMHBw0Ls7j853J1/Rr+1ogcmyFacE/EvU1F4blmbaAy2z2cnV8 HlkzWUJR9G0B+q+dxgscEvntKf8s8aMFUJVbe1E3Pi+qbU56VNkCFwQ+aqV3 keioeuB9kfoWCJdptX3aSSJtLTVXvtYW6EpU+HL2N4n49FNXstkt4Le004a/ FZ+PrEM9f25ohTKzXplZfD7L8DHY7OfbCmeXagZNF5OoM6v8fpNsG4SSvapm T0jUOCYwumd7G0x0OdkTj0hUusvQImZXG5Qsn7J58pBESRk/RRw02oB54e7v 5igSub6tiGq3aIN0S1sN23AS9SdURg9caQPBDTzqq4NINBZZ+2S+rg12ng1c U+hOon+ejPgd136B7ymXzTl7SaSot2zBo6gdWqYlDfKrOcg4WfZM7roO6KI5 1DiYcNAVKWe57hOdEH2k1X1lMIF2jdoLNx/qAt2O4jQpBzZavZIjWD7bBWWv hCwCp0aRAIrP3vKyG/bYsN+2PB5B59SKWpeb94D003c1euQQem/qmvRtsgci R7/np+H/vxMjG8T6Y3uhrfxVxrbgfpRna8wfY9AHFka99+Nu9aFgkzuvPvf3 QVz6symduz1I9rdZS8qdP/BS+FzCloAupKURGrN+Tz/M9aUXgEY7OiHdMMNL 7weec88Vd0U0o4nqqB6fWwMgsI9clrmdhvPQyc9GfhAe+kZQydQqtLojL5mv fBC6zkkVjGwuQUuCbtlpXhwCng/zcXORkYgn3Sm7R3wYuk7OlLB+54Hvi+wo 8bJhULH3K0rJroISxXDBVRdGQGGUYAa9ZcAqM99dIaKjQFk0YrvcbYd2pUZ6 QPEovHRLrLnL7oGcRJDvcxoDBXemZXfZAJzMVl8ltTAGn50kM2vWjUH+sWnR Rh42hJhELo1RGQPRpYUit/nZMKlecN7LdAxKT+gIDgmywTussPPQ9TGQEzJY /LyaDT+94Aercwz63azHLHawIfbIkhtSH9hwYYNXVaAdGype391H2cGBip9K 1N0ObBgyYxylqnNA5iJR3uOIx3M83X/UgAONVN9SE2dcP+r2Ot6ZA3suBxSs 8WRDqV6HXXIsB6Yawt58CGZDBvXk0tqlJNy88/pWewYbeMWv7nXnkLDiyjIz l0w2LJzKdvJeIOHFf+fF+7PZkPbo7KowES58MtdMIT6zoSVMMa5VgQv9q5rK +RAbVrIfb5Ry5YJ5Io/gDjob1MYTuzWauSBR4Pzg8j82rM1ZtJqpHYeUtJ9H ZufZoC/h1NvfPg4qLxRlgnkIMLxpyDswOg6mQVPZ4UsIyAoNJWVW/IXAg9FN 8SsJEBELCwm0/As9Dd/WlG0h4MHHj/VbmX8hc1AqXtSCgH9/NqoM/p2A8IQ7 pzosCfj7KSRTRGgS3GzGtmZZE6B+QHeXo8wkbCouzjnkQECdj5PABbNJuBd9 vCLSlYAtZ5dbpiZPwn/qz0mhAALGMtv5HU5MgcEIT0HbdQKql0ZcDPebApmk /wIzbhCwiuF0YSpyCljL9y8zCyWARtGSi/02BYa/WZsiogmYO745ZO3WaZAL XWOy7C0Bs6be7s95Z2Bhf+CK5jQCeK5Q9P9Iz0DrWC/t7XsC2Fn861IOzMBD h08njXIJIC+I9t0PmIHFnTaX7hTj+ShfkmLMzEBb59f99oiAjX42Ud4bZyE/ RnZBvowA/rbNicU6s3BhgRNeTsXjV3QXJoTOQntTdCI/nYDHLjlTB6T+wZew qdN0JgHysanr5Yz+QYy2846UFgI0KiodHHz+gfkb5c/6HQS4DCldNK/6B9uO xQaIdxMA3/L5z03/A76VC7o9vQR8Tlxh/XrHHBRerau6NUSAsc+5qx+fzEGs 0r5o61EC3PgXVW/XzcHFnpd2sgQBm21DJC8Jz4PFM4ENJEmAV0LK2meW86Bg 4dVZ+peA2kgPibi4eRDgZaQ+nCJAwb7WWG90HrrytD1PzRJQ1fWyS+DwAhR7 puxWmSdA2dA5kqxfgGcywhOLiwQ40Ob3v59fhP8BaEGFLg== "]]}, Annotation[#, "Charting`Private`Tag$2601409#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjHk01XkDh5FSmWw1RTFepVLK0mSpTn2MV0i0SQtKSchbQmlIZUuJLG2m UAnVRbYiCv2MDO51Zc8a916XrPdLhdD9/ab3j+c85znncz4azmf3nZSSkJDw +8n/zU1wVpgdz0bZf9401mz4TCXpu3m9TmbjrRuJXubVR/UPn9a6m8nG/CU7 Gowmeyk9lg/Pu5CNPo+cIoXEXsrvhN/93e/ZcLFO8Liwu5cq/e3KnvUf2LD0 IL5jsr3U3PbQubJtbATxv09xPgipPfdulPb3sGEfMdV8Jk5I8WXv6aVOsSGQ HBLa6AmptZXx/cHSHDBHBgvsJIWUT0hSkpM8B6HffU0im3ooqakMhWUrOegO 2G9wPKiHWlZj+hW6HNgresTrOvRQG5+0Nbts4iDv8LIjK4x6qJM7ZBKybDi4 LVIyVPwioKoeOK80vcCBd4dbVae3gIrZrLL5VCUHLxoO9+tG8ymWXI5qdD0H ao68HvY5PlUqMGdednBwWisy+Z/DfOpLxPnyH4QDTeMtgXWr+NSBjtpdscrV 0DWzr6gs51Gql66dKDhVjRNKdM3DBTzKYI+aeee5atxZ1FoURLqpXZp5WpJX qmFyXO60Tnk3Fcjlj1jdrsat9a3Jrz27KYHqVr+ut9WQkGH/uqaqi0or+Xpz 9i9ceP9u4XA+4hNlyBx7bZvFBa3s8lTTpIOytikN2V7IBfdg06wfah3UiQT1 3UZlXBTNuecn+aOdijXq+rz0IxddVemWdwrbqYGzDioCMRcZDtcdin9vpxJ5 dpe8bGowMeCmHqbfRkmWWZlGDdfg14aAr53mLRT36sYPFWtr4RwfWRz9dyO1 Wb5a6pZBLV6wiG1YaiPFenDcyMGkFqsGTBxvX2+kQrOik4hdLUIVykpENj/3 rf0+ysG18PHkTqZ1NFAs7YdLPFpqkViyyW1yup4yHQjJmWNaBx95tdTrFnWU euzQVJqoDsLx9hF9dQ41NNnd1azXgPtCa5WDuu+o1MEijlx0IxSi5jSvfpJE yak9J0JhE0xCpd5EuD7HzVP5rkmaH1FVsTnN92QJJkwyhO6BLZAesfgq5lfi /IbyvMXvWzFtcPiAv1IdurPKI+s12qGfbXdI4N6EGY+mhDUXO1DiORllFtUK 7T9kaNeiTlg8y+1buP+nkzXccpd0IbHP1atYm4c/1ZyW8x278ZvzpwIiJcC6 YTvZFhseGKce6V84PVgoPzq3fJqHC6Hf+lVzeyFNJWSvSOTjXFW2iq7PZ/xv Y1HbvJ0CvGVxvQttB5Cxwznp3YQALxO01w2tHsL40FKFvrgehD/i2ixtG0a+ rcWsu2ZCtOaMm93JECHQMuxxXp8QXkNWZvo6o9D4ZNWaEtaLeaN/bLeRHMNm o6t3VTb0IcBA7cbZ3jE4/lY7JdnYh+VpxS/i33zBOCdK4BX8GTvNtzktfvwV 96WPnt+n2Y/RjsN9Kr7fsLArP1mqvB9ZxUwJ33wcsy8H79/kPYD0wedLWGsn IJF2NFugNIjyrY35JcwEfOKzo5TKBnHRQOdk3OdJlGiHz1X0HEL1hb8zn3K/ Q9HKZ12I3DBeWte91U2dQuf6ukb/4mGkOnBm6mKnkfMImsKjIyiVbLmf5z2D I9mGimr0CBw79fPZtj8QFPYkuDNdhFke5t/P2oqx4E8Zq+OZIkS4PTWzPChG vPsZpb5sEcQTJE3DQYxXOzelkDwRFt5kc1ucxehTrC+XokS4plPZvNdHjJ2P JOauaRThsWeLadAtMRYXOEX7zohw5ZHyxd46MVJY/xyYFovwrq6C9DeJoRev rR4oQTCT3LFI1CrGjsuT2eGzCbpdFoaLeWJc+m9MfYL8zxa5tuqPiSGofbeo bAXBIDdqbEKRRma/WoKcNcEdLdNUQzsa4Q/DjnXtIpjXbGohaU/DZd/Iyqy9 BB30cGbtURqqxcU5NgcJ7CNPrfZzpxER41Bx05ngyALjrOkAGu6GD8bm+xOU b1/tyE+hYTYkUdAeQKAzf2TdBIuGepL7pfQrBJe7jgoVsmh8nGcsY3WV4OJ7 +aZDhTS2f/qoeiPm53/G9IxxDY3lVxdZyjwjcPYu4/t/p0EbX1rQwiKYk9au toCm0TbS0/Asg+DVl8f+GbMYxB58dcQ8l2DYZ69AVp4Bs3bfubBiggrvy12e qxi0d78xtqMI4Jtr5rmOweu7GrRmGQEvJFQrcAMDT3o0vLySoLjkwpn2bQw6 62MezWokuBqYRVIOMSi8NnmisZmAtfxMk4MTg7tbnNaktBIk+OYuM3BlsPOp Tp5pF8F803xDh/MMVtnH+SvxCQ7dVy7LDWAgJU9vE/QQ7I+Tf7o1lMFbvxp2 8ACBS9FJvvIdBnHrDWL2DhMsDkmfDEpg4C1I3K9BCCJDG97vS2Vg/Zf00rEx gmO0pVZ6JgMt69Pdpd8IXnT3fsktYCAt2ZQaO0mwZuvoxpdlDHj5WzyOTRPs saz0N6plUOyRoqsnJojjFbJedDH4S112nGEIvlXWFL1nGPwLQ24ShA== "]]}, Annotation[#, "Charting`Private`Tag$2601456#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4VVsbAHCFm1SSVAih4QpJrhKVV4UksyMNNBhSriJTFBmSSkWDyhxR V0pUQsJCxmM+k2MeM5+zz86U+VvfX+f5PXvtZ5+13mnJ27tZOi3n4+M7sIyP 7/+/tXH2ooKx1eAjL2qfHTeIkvY4u+e8qYZwv79cK08NoaExV8WojGpYFMv1 fUMdQmppHt3X86pByuqIMJIdRr4OvtFmP6uBFu2/zMRxGBXL3jbfVV8Np4yo lT+ThpFQ6x2hVS3V8FJl5+FW1jAyf/GgeKivGmQ3JkdsFxpBPateqKXOVMMX 5Wkb6QsjSKkydihYgAqeSqc1Fu6NII+QpKTza6lg0e9w/1PGCFo+80F083Yq CD7yZCaNj6DNdUfGYTcVssPcl1TERpFGcgvTUYsKsS3Te5/tHkVOx1fEfTKh gujTuggL51FUFWO//YgPFR4J9jjU1Y6inqszK5yDqNAuMXnhWv8omj38ZORh OBUgcMnZa24UqYwUZjITqWBr2sxm/D2GIrUlta9UUqH7izOl8OYYShPJko5o okLVjetvHSPGUHGvwdKXNiqsHlqfnJY8hn6He5XNE1S4UbXhjkTlGDrZ1mD6 RKIGdmkxB/lFOEjaP8wh90oNKNgYKqRFcNBecxmDds8acGGXMjISOMh0W7bi sts1IO8BWQEfOSiwtodj9KwGhF+5mYdUc1Cv9CHfzvwaEPz+4texZVz0vnD8 keDqWqh/7OTKvMxFpU/D3ZQ21sLZXrbDZm8uanWStzSTqwVS9sVWnWAuWi1i tilGoxaMC+qlZGK4yP1cerKKXS1UyfvtsK7kon1LF3KsPtXCZPWH/QdkCWRs Uhyin1cLplXB1CuKBHKI22KmWVoLz7IU2IHqBHqi2TkoxaqF28OfNjgaEGjY 7axk70It6Am3qEtcJVB8t7W/u0kdPh+Z7Ns5BPqi+s3Q3qYONK/RYi0Qgar8 xTdQLtZBvIlo4LoqAk1K0DM0vetA8Vma1ekWAplamHctxtfBWnF3G9E5Ai0r NTryeKwOMib+E0uT4SEJ0XSRwKk60BVPmb0nz0Oq51a2ufPVg23AZvUL23no zGylJ0W8HhzZnZwZFR7KVtd/u/lgPZSaHV/HPMBDl1JAKP1hPYSYjZodPMVD taEa9RVKDZB+NmrI+BEPaa+tWf50bwOY+3QPJUbyUFrMRc2zug0QXHzee+QZ D935FJFEWDcAXGz2vBaD17OHPCSCG4Cndr9A+R1er5ywyaW5AfwVRo3uF/HQ keGQrL+ONALn6ab0raM85KdaT/33WCPIqrP6Szg8lOUp+avRuBG+vByHszwe kl3MlIyzaYSc3qCAwEkemhHrCNl9tRGys5MkI5fw+oOa1qeiG+HsdFsYTYxE W56MzrznNoLBqeSv8vtIVHQx8P2X8UYoVHpXK7qfROf+WX/6x59GoDoXBM5r kSiepZ1Xu7wJ1Jx1qqoPkUhCJtyH2NgEqeeNXQ/qk0gsXXFcA5ogVOKmXJgV iQTLnHBRNIGqwtDr6qskSn0xE1cV1QQBtyWLKW4k0nN+fKIppgk6RUX4O9xJ FCL8Lb03pQl8LwUu9XuSaNFc4IpgXhPkm4MG3Y9Efzre/DLqboJNj8puK98l 0eh0VydTjQa1tGd3emJIlOMcWWq0jwZrF08o74kjUVCzzjt0gAYlt78PB8ST aGNuwtX3BjTw6FyfJ/KaREd8zs7729Igsihzak0qiWInWJLb7tNge7Z+yd0M Ejk5hi1EP6ZB8UKQddonEqkx9vaseU6DV5l+6lWZJKr4GpU2nUAD+cs7aUuf SUR6WGrWfKXBQYGCadMcEhmSdRSPLhpUt+TquhWRaP3FgP2D/TQwT9fLcEYk 6mxUkbYdoYGqbv1ju2ISeWU97NOfpEFXSkv24VISvXY77iG5ig5PijO7RstJ NMUpiyzeR4fcbfuKqmtJVGLn5bn3IB0uSA48jK0j0aO6rTbph+mgRzkyfrme RAoZIbJRxnRoP1PyarGBRCauuhnO9nTI8lHyWkPH8Rj5QRWJoEN02h/TH2wS XXtlttXlOX7/0MQrhxYSaer13SqPpsOiUm7WylYSUROEd/mn0OGmaPcpsza8 X/PTkcN5dCjbsiGnuINE+Qtjg3pFdNjB/pFp00mi0PQg3aSfdJhZ43JvDFtC II08WU+HTSqFzWu7SaSTO2VV1kcHy6gPyod6SSTkGP5xyzDeb6OY/k9smqis 4C0uHf4xIY4f68PxcNHP2TNDB3fpUOnj/Xi/MlESr0UYkBvYtk5jgEQtd/Z0 +Gkx4Nqlipi0YRK9USvfy9RhgPjP1X+LjJDIteNUhJoeA4p3X827js2nGQSD pgwoCjbgqI+SaMdIfTLFkQHNfyiVCWMk4r20n828wgB7Id+Ecez8o1OWq9wY sD5A6M4xDj7PBBmBUj8G7KgcCx7G9jJ3vbQ7kgHX7yR4bSTw/haWisKjGJBu vGnMFntF+vNNAzEM6LfLC0jGjuX/URWfygD6zjcT23gkcswylf/zngFfzW63 O2Cr2vX6WWUyYGtiWl8SdknOSmXhfAaoNU5RNpAkCndIuOOEGLB3Kr7EGJsi uqe9uIwBZ+kvLEOwh66cenyjgQGDlKsDg9giMv8R/f0MENhUMh3/m0S6J+90 9A0zYDwtd6YU2yPyfE0vlwGbzhheGsRmLZP4r/sPAz7lCtxRHsfxOTAR1bWA vyexfu8JbG2vxpDO5UzY9Few9RXsxIH759pXM0Hx5J5fSdiNW5yM29YxYa/8 iZP52MtPH9Zu3ciEDRaeWjRsjWcyii2bmVC+81nkEPalmpkNbDkmaERFnF7A jhZg8TdvZwIpZxotOoHz79AXkqnEhGnhb8YK2PM+EV2M3Uww1353Qx1bNcul jq7BhE4DfqnD2BeGDX7QtJgwePOjhin2M4Wt75t0mFDCDKo6jV12dull41Em uIucYzlgT0W1hTYYMmHPS7nzrtiK9bke9SZMWIxNcfDEPrMi6kKdJRO2C5f0 +2I/0nU3rbVhwvdnFn3+2EV+xgdrbJmwJk3lQiA274uiEvUiExRCFW2DsBXG BCSqLzFBUkmK/f/nlO09glX/MuHJZSYjADvsXOF4hTsTBNtVrG5i572K6Sn3 ZoIKSVp5Y480ejeU3WTC0cGJ5mvY0sKWhT8DmXCGJtB9CdvkqOqH0lAmJCUQ rnbYt/2FY0oeMCF+TUigJXbWt4Gw4ggmeJTekzDA7uWWeqHnTFipXbN/P7a4 4mv7omgmGNA29ChiG1y8ZV6YgONRs1tMAts31kan4A0Tdh7vrhXEbl8tKpX/ kQkvBjf3tuN4iRiMrfj+mQlyLbt1KrB1A6smc3OY8GdydMcn7FQyqOlbMRN6 w+yT/bBZSnYou5wJTocTNOz+n1+OWhlfqfj88oJsANuVRd7/zGDCBLnPbAnn Y+Laep+sFiZkZQVv78BuNEx3zOxkAmWHU8R3bI0f9roZQ0w4v6ZN6hr2pQkd 1Y8cJjx07QAD7Ohdm6U//GZC18VTs9LY86/p02nzTJCSfqxegetDtSXz13/L WMA//+lzNPYFsUf0d3+xIOWDZPUV7LJQvcxUURZsVov8uQL70ZVvl5K2scDB SnVWHdfniG7G/VVKLPAYUvScxPV9TOJtus9uFkhd9T6Rg728MoprrM0Cboyz zD/Yftu8fGbMWNBO2XpOkovPY+7faEdrFojMKQ7X436iQXfIbziDn3/9uzUE mxdstfjWiQWrzpqQv3A/utSlHmZ5iwUNRIpwDO5fZTlKaYVBLPBl97cdxlaI UKAqhrEgXuaW5DDudx0HxUSWnrBAPL64XR2bEku++PCOBT8z5WK+DpHosHXW WwEaC8omjj51+YXPWyWt0q2ZBX5SkSGzuN/O8ycNt7azYCZEYuw+dt6XyF2f B1nwqaBAKRn3Z1VRt292CyxImvx9BfXg/KzZVZ6j2AwVPw6Ef8Xz4eab7YPy qs2QORVtqYzd7Cez8vE/+HmwfGJyO65PxTUmDjrNMDVlVvIAz5eVYWOMtZRm KKjeY2SI59GU7of+y4HNEMbLH7/NIFFB6mjcjdBm8Nw6MTKM51mIkIpV2INm YInJvrbCFmn8WJLyvBkcZzV1t9Jwfz//KbHzv2aY81/j+RXPw5MBn09RGptB el2KYDSVRN++59aCPBtsqdvEvfF8vinz547pDjYo6Vc8ycPzWzd4/wE7ZTb0 UfvZs4UkqjX8/v7mXjZ0yR+ru1VAov7m/LBvx9nAn2xo6fYd19NUoa6yBxvi HAYUZb7i+aBelr3xJxts8o3qXr7F8dOQS3paxYbzdyceJOP7x6l9/g9X17Ph /iPF0fQUEh3Q1rBf3sKGoX+FEr4n4/w5krqWy2WDuMuNmooEEkVahLqUS7VA e11hbtILEqW768l5ebQApPI1W4eSqOtT2cMm+VbY/0ia1maH64UjMKb+dytc fdyzFG1LomIVfeMolVZY5X9xmnKWREnp5attNFvhycYOvepTJLJ/V/G43bgV 0iby7VPwfW4goSpy8EYrKDKieTLHScR5VPt8oa4V6p2P+aj+Q6I5F0bczptt kKflJlHHj/Nrn91T1cA26NL5WHF6OYk+LhsI+ye0DfT/Dff5xYfvl9HT1w9F tEH2ofG2mQUeKimXMrR40wbps8OlG//w0D25ixO+1DY40kFRkR/jofUsjnGV VDucCn7z3Y/OQ8qHVyxe+tEObLXnAUdf89CxN/LOnzd1gh6Du3Idvt/fkDmv 0GPbBU7H4zdbaBJIZcx6VbNJNyhxSvuOb+Ci9Wt5QmWz3XBtlewDux9jSADF ZW6N74HS04liAWdH0b8aP1pWnugFY+ctHuFFw+jDcfukoqleeCkXPrR65RCa HJUSHXjZB096dNxXUAbQN6tj/FF6/eCvqSLJPd2PAg3vvs4e6IdarSveD+x7 kXyHETvl7i8IjVLzkLXpRtqaoVGS6gOwLaC6JO5PG7KVbZhZRh+AtGVRE5pm zWiS+rjXPXgQ2DkdL2/8bsLz8JyX5bYhULztEM46Uo3Wd357s7xsCOQsvPuk XAuQYEAwRev6MATtZ1nJON1DfO/PZfaKjcAFEYPmQq8c8IjNfCxWOgK8Y1vq yseroVD5vtC6a6PQn/QjemM5A9YZeaiEiIyBnpGRXdObdmjf1Uj3KxiDxLbX Dx7P9kJWImzrP8cBxaUqJ7O6QbDL3LdOZpEDFVnaAwlyHMg580ekkY8LW359 ED+vxQGRv/JX3+HnwlfXn6Zqlhwotj0kNCzEBa8F8wv8oRxQENZbyl7PBXO9 rstuQxwYcLTgGO/kgjjlx+KtbC5ck3Kt9qdwoeh5PkVjFw8qyndV7rbhgpmC z/dcbR5suU6U9Z7mgujm9jB9Qx40VnoUG57ngkjVx4IgBx6oe/vlirtw4faX VAvfWB5MN4S9/RjIhZ3mO93vCJMQdDc5uD2dC+HsIE7HOAlrbqwwupjBBQ+t u+f6l/2G2MtXxQYyudC+pYUyvfY3fD2hlULg/yVQst72qMpvGFjXVLYcccF1 8nnZDaffcCKRT2gnnQsVKdc7PFt/w8bc8xHec1zoUJejTjaMQ0pa+cnZBS4I T14x7OoaB7VY5S2BfAT8oSSYthHjcDxgOvO+IAGstdYCq0UnwP9oZFPcWgIm 7o2RNhYT0NtQJF66lQCvHqtdXc0TkDEkEydiTMDyy97Jp6cn4X7C3QudpgRE CRd0+66eAkdLzvZPFgTOz2qJYvkpkC4oyDKxIWA3bcaQajwF4ZFnKx7ZEzB8 zKVpJHUKLu+LIYX9CNCUbZ93OzcNeqN8ua23CBh4FRMc5zMNW5Iu+6ffxu8b Ft0TiJwG1sr9K4xCCRjsn1d4VTwN+h0s6QeRBPx3+9qLhR1/8L1H3HDFOwIo HpXrjPlnYHG//5rmNAKyXhi3PZGbgRZOH+3dBwKEvLVDjunMwBObr3YGnwkw nDdJlL81A0tKlp53CwjQF5njGc3NQGvX9/3WiIB/prSMOqVnISdKfnFbKQFq kjpSW2EWri3y7pdV4v2viFYavzsL7U2Rifx0AizexWVflZ2DvLBpBzqTgGot gWXHj81B1IHzO1PYBDw0OSnhdX0OTrxVzT7SSUDiAWuqJXUOdpx56SfWQ8DB MmsB55k5WL52Uae3j4B1Xek+T5XmId+3rjp4mADFzztXPoiah5e79kZajBHg W95Qc6J+Hq73xlPkCQL0rqXmqqxeAONXAlIkSYCch8d1XbMFUDR27SqeIKAq 2st/d8wCCCxjpD6ZJuBWU5BV2dgCdH874HJhlgBb36omN7NFKHBJ2a22QMBO /Sm5Qw2L8GrLqsmlJQJqkzbXf1hYgv8BUqPk5A== "]]}, Annotation[#, "Charting`Private`Tag$2601456#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwViXk4lfkDR2/SWCr7lBoyJjW0yEiomekjk5KlLBmNkKV002KNNMpUNKIi jLIkUcaWLWSEr6RN19aVfb2ufXndyhLd9/31++M85znPUXXxsDomwmKxzn3l /74sOBvsqcHBwoXsqr3aQ+Tj9hId3w0cGHd7v44SGyLLpA6sjNPhwEL97moJ m0GyjjfwuXwnB3UeeY4/TgyQncWBnTxjDqZlXK/JJwwQ2zB5ImbNgZVlpyTn 4ADxdMy8v8mBA5Fsb3rbigFyTXtXsOVxDpriS6J/7OKTlG9a3fy8OPjVtc/Z Kp1PuDlLNlWGcBB7x+eimjGfjF9OlBqI4OBmSn945Xd8Imq7VSARz0Gng0/4 IUE/0WWciq1zOHDWm/e7eL+fmJlXXjYq4WDK1FT+eGA/cU1QOaBXxcH+07EN 5w71k0i97qHVzRxI3mu2zJTvJyMeh1fxhBxUbZdIXRbDI4m9NoGe5rXIu9K5 OTq/jxRoFhm72NbiGW90idXtPvI6UOHbg861mFOS+t77Qh+ZVuQ+0jtbi6mi hdXVJn1kv6VFD51Yi7VG1gOGI71kUZWJ4Y3xWrRb211ftrWXKMpkSgXN1KKk dkDKVLmXaDpKdHiy6vBI9DeLcrFeYjf/yuegQh0qIwRWp0t7SKG20cPvfqkD XWp6JV2hh7ilQjwzvA4mMi1vbVu7CCdYp+7lhnoYPL3FbI3sIDuk34rc2laP GZ+lV/927yDpcc56hw3q4T3s+EDOqINcybmZTNnUg7kor/l2vp3saB32VrxU D18trko6u52kb7y70r2lHhYn7BkD8zZiOHI57xvDBog6OH3J1WkhKpFjnzMm G2D1p05d6hEuqXAOyij42ADJUw4FV3ZzieNW+T+ezjVAvMlrv58GlyQ27yjh iDRC9NXb0aiP74iicpgftaIRnQW7Qh+EviNymeofddAI9mseW6S4kSypPjZO Ihoxz/opPFqpgYzN9nS/13qHQH+BtKJaDXkw+rRG6iYXnsPdFacVyoiU8r8U n9+Ev16kdOh4xZHrJ4rcktWa8b303PN63QzMGGTx2UEtcPLndwxLV8JXu7pw xfNWsBate6P/+jV6cqrDG1XbkdNQM6T2oQEL7k0JGuc7cL7wRdX8nvfYuEuM dnvaicn2TP8s3TbsTVE9nr+yG4JVcorxLl3wVz7yQ599D8ZPzdXMxvVi07jN 0hbzXvDd2uVkvXiQl54Sr57vhZvEy2I2mw9RkpC7NrEPaWeCyhr1BnFS52mb hCkPK0ZrA5TUh5G1zyW5YoaHL2v5R9dIjmJ6bLXMYGw/sk3jxLJejaHIeu/i mN18DN5K8ZX7dwJBxiH3Cgf5SKp/ez7KlYJql0lrasgAduodfRMQNoUdesEx q7QHsaPjzpOrvgLYr6n/vIg7COOwbA+l/R8wXXOD53lpCFsdXfydt3/EHVFH Xyu1YRTOz7ArFD5BvrsoRaR6GBIR7Qcqxj5hyYVLB7d7jaD692hLzffTYGU4 5vLkRlFRmuf2T+4MvONzb8hVjaL02zk7o7uzKN8YKi57ZgxpfyyV0Q6dg6yJ 96bLUuPIP88ecj72GZ2bG7gBZePwVHPwPHloHnlJUOM7TiDS+FZBDhbgkKsr q0xPYC5lfWiU+hf8FXL/UmfmJDYb5v39UEuI5f5iJs6PJkHU7psl6wgRzz4t N5g7Cattr/Yk6gvx2HR7KlU4Cb+TUSO3DYQYlG2sFiGTKPMwt0myEMI0iSWu wZ2E/Ukue8xTiBVPjtw8uzCJQBmNqPQCIVLTX/w+L5xE5MWFtnfFQmjFb1QJ YlHwFhZ/oUuF2HdhNjd0CYWX1een7J8LEfhbRGOC9Ncu73HXahKCV1+hULWW wgWfyE2/zgjxaFg5QcqMwuIXM4f0f6ERejfEqXs/BUFRpb3uLhpHrSbW5VhS SMoICdHfQ0OprCzP3JZCaxErf58FjbCIwy+vu1AoSiu+m3KUBls3TiAZQCHb 4CrP7CaN3WOsJ+1/Uli0xyMqMZqGSjI7MPMihby6rGcf7tBoltAXMwmmYPr5 XtDjVBpGXc1K1yIoSAm2ON/4j8YPwQrGYmkUliXIxg8P0qD1A5e3pFN45hcT +HycRttE/7u0LAo6krlJmR9oRNo+dtiTT0GGNbQlmabBbLDyCSmjkLFbpP/X lQzae/7TtyEUArfc6YlQZlAco0qrVVHQTb+3ZnotgzP0VGj1Kwpbqk6P0loM OhsjkhZzKYgri5jsMmNQcnXWlfuewpjmhjOO1gxifj6ikdpKYTLcwSbZjoHp Q81Cw24KvuujnFJPMFhvFxsg10fhid+EnocXAxFpeiev/+vvsuWcDWBQeq72 zaURCu8nZn6yC2MQu3lbhOU4hYZ/+gysoxl48RIPqlIUVg2WPqlMZGB2W3S1 QEBB/exu02dpDNTNTvVUfqIgWr1xTXA+A9FFTQ8iZymYq6VcP1TOoLfoZ3en eQpLs3vs2moYlLmnbtESUnBZfkIjtoPBbZWl0wxDoco1LbWcYfA/4RH7IA== "]]}, Annotation[#, "Charting`Private`Tag$2601503#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k0VVsYAHBToWROKCXKk5BESsNXooQKqRRRkkSZEpFKSEqGIpmTUoZE phTZ8ohkuO5ozhQZ7j33IFPo7ffXXb+17lrn29/Z33DWO7hbXuTj4eHR4eXh +f83iLwe4rGpAQrTUOR82hCa2Fmq463WAE6KCVqz9UNIRPTYqgSdBrgyuSvh qM8vtLHv5+znvQ1QEHwwZo75C+0tCejsM24AozVb1Fjrh9Gph1JI8HgDGC75 w/55bhh52GW/UD/bAKXagf/ujx9GD7T3h1hcaoAbAdY3peuHUfrSVicfzwbY 3xJw++30MKK9W6Jeea8BXKq+PLY5PILGgpJFf0Y1QOyzbf233EaQwKltpHBi A4yYOtamPx5B2/+eKzn+rgE6rmZqj1NHkNmRyiCjUhzfrSslg9wRdCFp3TG9 qgbYfT0wN3/FKIrW6x6SZzZAxeRtS23DUTTsbiPXt9AA2VY7jDe+GUU8FZ9+ 0gQbQaYyZYdyxSiSEZEvqJFohM2xpHEofRQZZLaaZG1shAtGwk9f/B1FyT0n AjyONILLxSXWS8zHUIFmsbHDqUbQiw6eFrkwhuoCpFdanW8EFYfi0ffXx9Bv WVqu3vVGmPS9RP2ZMIaOWpj/WExuhGZHx/7z3WOIt8rEIGKsEaiJ894mZ9hI Vjxb9M5UI2ywTvxV5sxGmnbCHR48TZDhE7N9xoeNzszVXrOSboItTv/UsZ6w UZG2Ucbq3U0gLyGtb1PHRk4vQSg7vAk8d9okB23moAAylZ70tAm6t4fd3KvH QTGwmBbxvAmkZzOKWAYcVNlRvtOzsAmq2LvMMk5zkJy0vuuOjiaId1qt8OUe BzWE6DR9VWsGR8uRE/dbOUhf7DvfY91mWFgVNLOnn4MyE87r2exrBp9+UU0W m4OC30WmESeawfnrVFQhH4H0W395yd5tBuGBom6lzQTK3JyyyoXVDLvDj4kY +hJIpmSbmU5fM2TNa4TZBRIoZF994OJYM+xjzdY6PCBQfvYf78O8FEglzo1v SiJQOFLt7pKhwGy7nHD5ZwIZDAflLzWgQLuZjerWvwTy02yqdz1EAa/AKLNQ fi7Kvyb3k2JGAQmrFk1XQS5au5gnl3SKAry5fj/lxbhoVrIraMtVCtD/WaGy ci3+/269E9bxFND82m8Vrs9F66JHZ7M4FGCWdjuscuOiivN3sgomKPCDYaf6 04OL7LZJnS6boYCRXGZk7jUuSmbqlzbwtcDVP0Vumn5cJKvw0IeQaYGc2+bf yGAuksxWndCBFjguHpAfFs9FS6ovjqGoFvgklzC1u4KLXj2dTaqLbQGpp8EW 1yq5yPBShGlLQgtY2Z65l1HFRUHLirP7XrYAT+Dc04WvXLRoLnB5SWkLOFyK Ub3VzEUzXek/TXpaQLpWZ0vlDy4anf7RzdCiQmCcwcagBS4quRRVZbKdChtu dLde/MtFgay9r9EuKvCbTzw14iWRzIeUq1kHqTD1SvbgrACJDHxs5gNsqUCV bVXXFiFR4iRTbkMYFc7aeB4m5Eh00TF0IT6CCicVLFzjVpNIi67buyKGCiLW FpM7FUj0tTA2czqFChEaFeY+iiQivSz1vhdSYWmp7r/VKiQyJhutvH5QgRXc 31WuTSKp87d2DA1QYfLN8Xp1HRJ1U9TX2I5Q4b6mv2uCLom888P7jX5TYa19 QJfzDhI9dz/sJbecBoqZhTM9e0g0xa6OqtxOgzdZZ7N2GpPo1UhZvWgkDXwO eXx6c4ZEbs+OKbvE0MCadljwvQ2J9Az7b9bE06BB3jfpgy2J6lOWaQS8pIFL fnNGuR2O1/x01HApDeLe8Dx97UCivR+mjlf304BldNpm/jKJhBwfvl03TAPh B9G+HS4kooqvXXKTQ4Oj0nJCpa44Py5GJVtnaaC+EBh9+SqJHinEyj4XpUNs qELoOw8StQVv7fLbSQf9M+0aVT4kSteq0WXspQPDT6nMz5dEV7qsI7UM6TBf WduveYNEPHqBMHSUDt+f6Yk/8SORykjTCytHOgwI8knvDiARN85hLu8yHS5F 5Hzqwf50YMpyuTsdOvyPiwbfItGRFAWBKj86OF6Xram8jfNpfsVpSxQd/B60 Zivexedb+FvxMJYOXi5TEwXYgtkxqwYT6GDdFDdnEITfP39ZXfIrOvD9tjC2 DSbRlxLhzcs+0SEx32eN9z0SiSq8IQYG6KCzSsBC/wGJ9p0M7uofpkOtoA/n BbZXlP33Pg4dTmY1vhN8SCImr+ybnhk6XAvvTWnETh0Ms+sUYYCYyZTtgUck oqy7aNYhwYBDUXw7k7H5Tu/Xb5dhgNQB+QMT2E7fZ1e2KjJgixllMCmCRJr5 Lo00HQYs+D5+zIok0bnhg2XUnQwgiwz5laJI9ERJOatlLwN87kflumBPxXaE NBszIK5v6fsp7Ao/s93fbRmwfrwibjYa57NAVa3+PAPWit3l6j4mkdKYgOw3 Jwa0h7U+8sAOtfs88dWDAXMea5/0YB85oJlTFcKARy+8uTlPSHQ7YFnClwcM 2FdjF9iOnV88GFoZyQCP1lO2gjEkklZ97lARz4DQ86ILNtgHz980/5zCgMF+ yepg7BuJp/aWpzPAxLeoIwu7U0Rc/tNbBii6GPOS2KIHxwQ/vmfAR75rEpKx ON936n5/KGEAQyXHZyu2V+mr/pIyBkh4CWkfw35FBrYUVzJg+ac0Q1dsptpZ VFTDgAuSYXn3Yv+/zztzC+sZkEShXEvFvsIkw97TGbBBt1bkO3aqWJNPfhsD To9H93djU4yzHfO6GVBiMrmKxOYLCrV8188AeZk/2bxPSaRT5rAv9xcDmkNy U8SxnSb3ar5l4+crS5IK2PEaq9fkjOPndWq83oRd7zQtnD3NgDM8AhXbsOef 06Yz5xmQfSBu525szba8n294mTBdMyB3APuc5CPa66VMEJPm2BtjPzF1/pKx nAlhm/NEzLCrQwzzXokzQfa28vqj2FOfFVNermRCx6Rh6v9WnZ5/mC7PhMSJ 5feOYJ/RarvxYh0Tltq6M02wH10udkrbwIShaMeYg9gj+3LDlqsxwTFqfPM+ 7EOyGdk+W5jg7yw5qof9ikhu6NVhwk2r6RYNbL7aWI6ZPhMqw6m96/+PN/WR eCkwYYspbbU0dsX1EG1lIyYUtqrcFcBecyTAKtKECTn3ZyQncD79Nnj7zB5j gslnT+qP/9/XH9d4xxNM+DH5sbIeW4d24VPzGSZoVE91F2I/ybbp1D+Hz/PD VDMJm3v3+GLGRSacXNuRF4h99LSpooQrEx7crnZ0xM7ROmAQ4MEEu00qRw9i O/3QDrW8yYSZ8S9VAtjVJWqZnwOZcMR+i3kvvm9KkUr1qqFMMPp4U6Ycu2u3 pOjfaCa4OAtYXsHWl16m5RLHBJLH6dt+7PhRXktGEhOOriRvrcS2SiSf5rxm QvL1svQPuB4KPIc/yLxlQrGX5MpQbLHDvW133zNB8URVnSV2/TRFwbqcCc+F TGYGcX3tP5GfIUBlQtpD19g5XJ+p6pm17iwmfH8lqFmGPc+fNtzeyQTa0xUS /tilBVEa74fw/fh3/4dxXN+a4u7FZxeY8EvJ4Xkz7g+PhpxYdXwsyElzex6E PVJhN7tNiAViiTHcbdgZV4/uWSbFAuc7fQ8e4/6y5rtGTYkqC3gNLxbswP3H P33j0HpNFuyaFD/RHU4ilp+CcMQ2FvSk/2MehP1EdcWRC3tZ4Ka08XgN7m/C oWN0MSsWmBziydDD/XBqX86A8x0WXH04vqMJ98/yV6NJviEsyL8+F38eO0hI /XjoAxasLWHETITgeqe8/fIyhgV/WVm2Utgq9u9Su9+w4MWM2JH/+/PJW++t rSgskBzessMO9/c1vaTYBQYLZmXqnnTg/t9nqF3r2c6CEPmzT05hu4kU6kYN sCDwxUiQKZ4XoUlFkvUzLEhpPK+v7E+i4o8fGmB9K1iKPg99ch2fV2Em+KhK K5h/U70x5437zd0du85ubgW/L0Ky57EbjD9m+eu2Qo6D4EW1ayQaYH0KLT7c Cm79/gdy8byTnvq8b7NXK8QKfw33xvPRW7u6SObfVvCdyxoXOYfvn45i2uO6 VrBOhqBd9iSy3h4QLtLUCmuM++Kd8Tzepa/jwNfWCipCZWcr8LzmM3glxuG0 wobmoJPWp0kUZRHiUiPfBskJK8MOWpIo28NQ0durDciwsB6xAyRK9kpbTvi2 wW7dQHdxAxJFeM9PXb7VBtxRz2di+0nkcaOo0T6sDUS3WhQJA94PAjfcNE1t gwAJfS22Pq6HKAGmUn0bxNi7pnnifeXHu+rwlvXt4H9nPbqG9xsKW2BM+592 eLz1KvPIOhJVqhuZxaq3w56DVukqa0mUll0jckqvHe4nJ5+m433J4fXXiE6z dvj85LGF4ioSDabURQ35tgP9puEX/xUkYj9qiFlobId41bXWu2e56I8LPWmT fwfMWBKZSxu5yGr72ceadzrgDnXFfNZ3LnrLOxi6LaQDzuXlGpjV4/00ftpz T2QHxHm550TUctGXGnlji/QOKFLrIvnxPnlf8fzkjfoOqC8OD6so4SIpJtus Tr4TKBkPAq8+56LN+wUXnco6QeaZcW/FVS46lL7+0vtV3ZDlt+3R4C8C+SrY K/Xa/gBXy3cUwUEOUh87sZx1pAfo+bU7uuvZSEqMK1Q91wOyx8eUH/iOIQGU lKec3AuxfcfylRRGkatOWZuwaR8Yfg93uXtvGOUcdkirmOqDudC98UX0IfR7 VF58MK4fnEyeuL9RHkTFxw/xxxoOgG2T6Ly/xgC6Y3zvedHgANjJ5W733NmH 1neZtL689xOi9/OHi23tQfp6IbFy2oNgfsY0IK6gA9mubZ7lpQ2CdGt6nb8o C/2uj+jzuDsEpV/X2Ep8aEHxAnbelht+QWXMfNc5Rh2S6i5O56v+BeKEq5Zv ehlacuuu1U7PYeC5Mtk7k3EX8WTZ5fVJjoB4FH1p95oP4JWYFyFZNQI3FNVN XkM9fN4cJiThNgoNt4z2qAzRQcLESz1IdAy0Zp65nf7SCZ0aFJpf+RicMzK8 wRbsh/xU2DBgxwZqCvz+1ToEZ/O2SygssiH3UcanK2psKDkzI0rh4YB5Ph9n 4wE2iC79JBLMz4HtBUiNsGFDpe0eoWEhDlhXvtIviGCD0jLDv0VSHBiI1FBe JNkw6GjBNtvEAbvshMVvnzngJn/lW4AVB0J764ITtnLha41G7ZZTHDDgZn6W BS6s8ySq+05zYCbQwy7djAuUWq9KY3sOzFmk6zIucUH7ut8HaRcORBorTJel cmG6OTTj7R0OrLV5KpYhSkLgvRd3O7M5UHBVtPHjNAkrfAVNzudyQNzeV7Z8 yTgkOl+VHMzjgO44GqyXGodC050viSIOuP92jxPVGodBiZZqPoTjVeTfqn15 HExTeYQ20TigHf51k0j3OMh8sI+8/ocDN81Xex2iTcDLzJqTcws4Hw0al9T7 J0ArcfO6OzwEBEZt7FGemIDDt6bzwpYQoMwQdzeVmoSAA1EtSWIEPMx73RFi NQl9zRXSVcoEmPCL6w62T0LuL4UkUTMC7J8p5YnP/YawlHvnuo8SEMmnK68m NoW/i9kb31kQ4Jwb7e26YQrWlJfnHzlFALu/4/vlY1PwMMrm6yMHAlpuF27w ejMFztsTyGV+BKSdbcmrPjcNhqM8H9pvEjBJVqYP35iGdWnOAdm3CVA/3CJo 9ngamMI7BE1CCBiO+KXVUjUNRl3MNQ+iCEiMWcFZvWkGlEKkjQVfE6C0OlBs y5JZWNwRsIKVScB+/pE/rkqz0Mbup77OIeDKGcNM+X2zEH2q8OzB9wTQP1/3 GAiYhb9qltfuleP4smJcR+dnof3Hxx0nEAFBZoW119fOQUns+sUNVQRsuvmv 6/t9c+C2yA2rriXgrZfAQ7f7c9DZEpXKTyNgKkTGrHLdHygNnb5AYxBgNjWZ HW38B2J32W962UpAeo63f77XHzDN0Cwy6CZglSD1gu/3P6ByJs5PspcA83Qn vjtzf4BPbHFvXz8BMSw74+TN8/DpRuO3u8MEhFVouPk+nYc4Dd0oizEC+IOy 3qo1z4NnX7LVeoKAf3q+TMyJLIDZMwF5kiRAIb00af7YAqiaXflROYnjT95f wEpYAAFe+qvoaQJyTPaNnWAvQE/xLpdzcwTsdf6YPnhsEcpdXm7RWiBARqpJ 7nHzIjxbt/z3378E3H5be+3twl/4D134aqs= "]]}, Annotation[#, "Charting`Private`Tag$2601503#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHk41XkDxZElExmyluXVNtnKU8o2daQiS5tsMxWlGktD2ZIyWYZGCU1j ypYUIRRTylrfSaJR3bVuutZ7XTey/HgL4b33N94/znP+OJ/nnOc5xgEnPY7L ycjIxM7r/85IGjEKqWMg+qJ8peOGj4Rnoq949AkDBmnfLVHIFpORmHMczzYG fE+caTHTFBO5Vn6BE5uBztwX6pLaAaKnaXfCppMB711tHR4/DxDLgBxr0wEG tiueijlqOkCcqr8u0KcYUP7Dz1CdEpGDUh+W6gwDYQ2/xRfUiUiEe20+LcdE zu97Z76kiEhqrnbwhAoTrXqaUb7eInJzMHpjvzYTvPS+bkcTEXmdbMVoNWWi ujw4ZuO7fmKn9kru941MuJ10mwsp7ydlOUesDzgw8c0tjd3Oif3k1/sZhZQX E1k6ny1tNszzHYMRuolMdPeo1BwpFpKygPhSYRoTMg6lCuIkIdEe1eqqvMaE gdjexixASCZkt+3YWsnEbLltevPyed7shk7IeyaKo96az5QLiPbjDe5WQiYi z+cEuGUISLJDe4J0hAnHlquu6hECUl0+F+Uiy0JZa86zPjsBSSNrerq1WXAe T3JbwO4jjkNJ1YqOLJy+qrtlkUofiV3LaD/hzEJzbZmi+VAvqY7UG2C5s3D5 UcPVxw29xFBapZfnw8LXX+J9lvn3khmN7qR1oSzsfr1jzfPKHlL9vbWXbzYL vhfqVVV+6CZGV4Zn7o6xMPLjYOayj3zy9Ej83QefWfjPOfmvwS184rdhyQ+N X1kob3jtNHCLT/J5dnWv5djgBSgf9D/EJ7oGl05T2mxs6elVded9IBrlaz5b gY3m0eu6YcwOotByfIRksmGzWiNdxOeR4enenneWHJSf04ra6sAljwMzm103 ceC+pyIqfjmXJLzfUkLsOcgunUvgynOJdu2N0LtOHJznFjQ3/cMhjqcP/C/u IAfjXZv3pXtySO4Xnt7KVA40M9NsJkPZZOfEG8+IXg5OWTSXKB1ikuJPje2L M7hIzradGmp8SRYblFIi0Vu8rGhY63upnlwOfvRT4UoeElJbp2o0ssiUQ4Uo KP49EiLvF2s9qELU+pYa7ecd0B3UNGo2fYbe+y1pbGM+5MnQG8Xn7ZgLeZtn crYT59UCRxOG2TDbqiT9qbELV5uiV0cq8eB82zjwL50eMNKMH7/y4yPGwH+5 4GAvSha91Njo1QPzEa9F73f1Iew3H5V0DQGWqI0vbJntg6BIxW98af/8Tl7V inwBnHfC3GVGhBNWjR+U3YRwaB4v6PsqRoVLQOHTKSGUe1wNVw0NYnJ46bfi a/2YlNkTfeLhJzza77wga7sIpne3/alTOIL4nSk3a8QiXA40tMwIGoNxt2tH UcoAGPwM+3KNcdhZJ2fprRdDkB+b+FRuAgcNmTOyXDH41vHhPMEEJtvThacS P+LyBmbGHOe/yJb3i/JYOQi6TqG75eFnLOl5dFuuZRB+oVSG6pUvUPgl0dM2 fAj1lrV51vGTkLnrVyXU+AS3cMuFUr8pRORWpWs0f0KUY9HcVY9pPDFLXage NozUA/vPBm/7CnXXCPOkxSPQCZPhuqyeQZcFixvbNILppmMZrUazqC7ASpHf KHapya+LVJ3DoapN6gbSUQhtXb5dJ5lDQsqtxK7yMbR5DGvWq0qgGqPkeuTe GFwslM/y1CXIDQrVEFeNIXpZjeWklgQP3WyLqJoxlNRRtzcZSiBWZ7fIkTF0 JRqqt6+VwK1AZqEJdwyz+TWq1nsl0K71z4ieG0OiL3myO0uCorIX3rOSMRxm MmQLsyWwzDUzipehwLA/7v45XwKXX6arUhUoPNgcoVV4R4K4bZnsPDUKY3pt x5bUSiBkPtVsXkFhfafYNJgvwb1Bg7zF7hQ2Be0tXb5CitQbKYd7dlN42hnk 4LlGimMeo6vu76Pw0V7r8CULKfSbmqp3+VCYrVcsk7eR4lLmgdbLARS0/Pdw rXZJEbQpZ+KbWArai8rCi89IsX1YppZ/jsLJG4N2685LYVQYFFd+noJJYp7+ s1+l4CnbKLkmz+d7bxvNZUixo5unfzGTQk5p/33mHSmWJ2vuVCqh4B3r5Oj8 TgqpTZzq+zIKnrrVaiGdUnwY7eeUVFAoOHdxc65Aiis+Dw85/UVhIUsnZdWY FLSpR2RKEwWRW5gurUSD31tv40Uo1MnJzhQtpvE4y1i6snm+b9pbeEiLRph0 PLWljYLXlGGH9goaXezMggVcCvSUfCQXNOouTB/lvpvvU9O38namkWXvb1LU QSEw/N4y2T003O6srXHsofCsUlUo8KOx+sdrsRoCCi3Fr06tCKQhpybdIuyn EGrXtvrOSRoNZ978kzhEwdZ8fekfiTSuWWzM3DdCQdB4eL1hGo1wYb6nMUVh weB433d/0nC/Lr90YmL+76G47zk3aaxx/7n37y8UdOMC/t5bQUNe9m3xlWkK Vdfsl87W0uh7ZB9yeJZC5Y0X+2NaaTSFFK2zlFBQsoj7GNdB47rRokmapnA9 WPVCLU3jXxYz95I= "]]}, Annotation[#, "Charting`Private`Tag$2601550#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13lcTN0bAPCRCmmT3iSFEtJCaBHqoT2ylBAqaUOyJZLyK1SKFi8hhVLZ KhTt0kmiVJqZZubOtNKidWbunUp7+Z33r/l8P3Pu/ZzznOc857nqHmcdvcVo NNq6WTTaf7/11/nLfIvq4fvmfrLaswcRa1QlPT/VQ+4H/+sGkz2IHxjc4FRV D7s3ln4+EdiLxL41PbVm1sPk/dXSotpetFhx86lNzfUgPLQkfEiuD+l7PDLW /l0PTQ+/1Jrs6EPWOWOzVcl6kJiX+r79ah9ymTnIkBmvh7cHmyJfZfchf/vC x3/F6LC6Rqc/g9uHopKUToqk6aD9/ODw3b99KKX3omGnEh3c2k4Xjmn2o7pw g/pv2nSQcpg6m3ayH22WqxX715AOeokHPBfE9KNXj44ZH9lGh4bTTkPc7H50 421cKrmfDkv79Rdr9fcjatNKTrE7HSZir6dMSg4gty8f54WfosP6uhSzMo0B tJnX6698jQ6F6GrR6YMD6JVH6MuO23RINI02u3ZuACkJ/mnJfkAHcN67tyFq AIlmWVhtz6aD16zyGo9CPF7nySJfLh2qj/zsPSHDR0oFG+0NOujQ+Cxw+Jk6 H4Vvqwmb4dMhbU3hR29DPsrJnAywm8WAii5LQcYRPrqNtNpalRiwRZnWHpPO R+Z913MkzRkw9uNDyW5NAQpaW19zyoYBcxqsVhptFKCcC4t/M+wZUMlZEtq+ XYCWzrxbnHwQj39u8Oa2mwCNK7ReX3eaAdv9g3Td7uPxW433OycywDbL/fOW CQHquXb97KcnDJjuKpZQlRSipVU/ojXSGRDDypYgFghRjINXGf8NA8wuZlU3 aQnRCZ9/V1/7woCo1dIeZvuFaNmdgfHXQgYskwnlyrwSorJjoa/fDzEgJ+Hf ma25QuS2ceGhj2MM6DJ/fcipRIgeE5uL6sSYoM27vMO0ToiU1W5dIpWY4N46 UylGCpFCptaQATBhb9kV4St9EuUGl6aZWjKhz/mXdeQmEu3dtdfR2o4Jm3hh 6g7bSBRPBeYe3MeEHo9Dx3P2kEjauOrsleNMsJ3ZuPzxaRJJVHrzUTwTbKyf Nx1+QaKM++PJ1QlMaOlNO6H7hkSWx2N3Mh8xYdUSxoTwA4muS+VndqQz4ZaZ RYfNZxLN7BU/KVHEBMf5mRG7mkk01pr2e8cvJrwLsfrsLUmhgdGfbRz9BtiA Hp+x2EihguPxFTuMGmDMVU56sRGFwrhmL9CWBmg+7X+0dxOFlAqfnH5t3QCZ P6p9AswoZH7pyFSISwOopNqlWNhRKGmYWKwZ1QCjq0OW1LpSyNsrcjoxtgEM GGXd5u4U0mcbtsvca4B+uaNW+R4U+vYh4dXokwbgxpnxo49TSOTvaFz7oQE0 l97UGD5HIVvRDyf/nw0wuNTrDec6hRYeu7qpp6sBaLNFvybDKdTG0FV16W+A bRsLHNRuUigg53an1Z8G8P9MyTneplDKWTv/xfNZQNxsnrhxj0Ijgsr4ciMW 7O7jzsinUyij/2ONbBwL4rou35ZAFDrzcM8K33ssYD2k3U0up5CxZWfw10QW VKs79etVUKjmiZReSDoLXAjFlzZf8Xz3HorvK2JBv6oOf08thcwKR/ZVdrKg +PoS2yKCQnO9bmUv62PB3AC9wX94FGqQXyoRLGSB183Q7ecacXx8rQrWj7Pg sGVBh0oLhWLUEpRTZNlgc3d7jm07hRpvrG8NMmFDOFXkJDVAoTT9r4YcMzZ8 Ga/xM+BTyK/VOU7fkg1sm5yzRwQUohmHQc9uNpjO+WKVSlJoVX/9MycvNlw+ 7pkiMYzjs9fPZ108G4aJRzvMp/B8p/+W3Upgg+cCdc7WaQrNyby3qPsRG65r GUcYzOD9nP2x+nEGG0YOXfVcQhOhzwXzdKRK2JAo+ySgarYIyaq9JLu62PBp aF9OspQIbTtwo7Wzjw2DpyLMXeaLkH/80doOIRuGgB2uIi1CxCzll7/G2LBI feWKOzIi9LQ7yq1FmgPGrCFJd3kRWpvj+4NlwIFvj1a4JfwjQu591h8bTDjQ W3eXtl5JhO5qrHjNNOOA0ZX9l2qxRxKaw+m2HBizFOsaXyRCZUH2W2tdOBB9 34ZmqiJCuyzWZlWEcyCu6JbIdakI/S9E6tHnaA5IzJD5POyc/O7I8jgODCtF +jksEyFFrRSPskQOnLe5VLh1uQi1SMurlGRzoK1q4s+EOl6vNX9OcS4HPE8k XPXWwOsNrf5TWMCB3z99JOqxM0RhzPxyDiTlBak+WiFCfoQoKpfNgfZjYw8W rcTrlau/lNPIgeMZC/b4YzNsM73etXFgsOeBYi22wUePbW96OeD0zKL+0ioR mkphjb6a4kBC2AKtwtU4Po3vfr+cRcAPyZhAMS0cH4UY1gtJAqqn23/txK4M t3yXIU9A8Xb1OY3YMSfzfVI1CXieeai2ZY0I9W97EzVfm4CFe8QWLdUWIRvl 55mX1hGwfLTYwBVbrCpBaL+ZgPvf4gVsbPenMfJFQIDnj+0xMjo4vhfDN6yw IuDLa21xS+wgzYBL43sIMAhKi8zEJiZPJXrtJ8Cq5HVCE7YBy7OEfpiAuaG8 63N1RYi6tm/muTcB7MTLkm7Yuw/tXL7gFAF76mxSIrCz9C3MQ84REOcwsTQL 2+fnhkjHYAKWDD9rJLErC7RffQojgHO3eZGcnghpxGnUaEUS4P/gmoUudpi3 Cv/ebQKUEta62WC3blWQ/XuHgEq1KyfdsTcrSun7PiBApmbMJxA7cWCWIyeZ gKotW51jsEcqxi9se0ZA8hqWWQq2U5LoftYLAs5726nmYL8/31eolE0At3P1 YBm2nF1747VcArZ+Gf5ci+23vHGSX0DAmn0bYwnsmlGGmnMpAZZLvPb/xNai V8OXzwR4d4irdmNHvig/trYKxzf/Tkc/dtfVohuP6ggYF4RmCrC37895Lt5A wCUT24tC7Ke6r6rOcglwT3Gx/O//qdmpfU0tBEhF6S3+7/nDzQ/nW3cQIPlF 608XdtH7eL3cHgKiY4sbW7GVbt3coyrA+ZJoW83GvnAs9PzNQQI05LdWfMdm bAq8NzhKwMGU0epS7LXyZ/NdpwmIv9zS+gY7pseHWy3GBe/DdmJPsPvL3MY3 zuUCcT/J+Ba27YMDS1JkuCCvqB16Efv56d2mUgu5sNtlT5MbtpiV9dGLylwI fHR0hzW2u6rZtV9qXGhOecPQwVat1ftaoMWF4u/mK0V4v6+krexRX4vHK2mO MLC5QWrzYjdy4Vt0YMdb7LtaMrs8zbhw/8YdBe//8uuv+Nl6Cy7EHWxzNv0v v7hTd0zsuHBk9C1aiD0vks+Wc8LP+zCHSnB++rh2jVw5xIVx+6Qvt7ErDVqU u924MG3ILjqMHdZZ61J6kguVtv7KQ/g8jGzL6joRyoXQ5qofMtilGQPJgeFc YM5+rMzG5wsn+b7IaC5c2rGhPhFblpH9Of0eFwy4x66qYa86+vZp20sumCVn SCji88mvEO4XZHPBuvRU+Q98vt+vWiczlcuFX4vsBBHYZsJ3wYtLufB+jJMq wvXgwNVcZycGFzLHeDcLcL1QbRfJeXK4kGA8NeCJ3WG5oep8ExdYdeu/y2Gf kf5gGN/FhbdLTAY9NHG+Jecp1IxxQUXDUGkU16v84sI6UOeBckmxKxfXvytq Yzd2r+KBoq5tgR/2tmubtrjq8OBstDCBhl1nW/z6iiEPjOYl96zA9bOLWxKZ b8eDYfeWUWdVXD9HPm3T8edBf/r7U1eVRajp0MyoSSAPaDttwyZxfU79ZPbO NoQHzWe4qy5j60YgNZ9IHqzoytc9jeu5peLnidQkHgjLJNZZK4pQwIbKPKUv PAg65PAyTw7vl8Hy1H+reaD3VsFdDtvZKOS2dD0P1pt2BZ6QFaEtmw08xBp5 IN4gVv0Pvl/EzDPkhEIe3GQN01zx/RTvEO77VaURLA+M33wqLkKZ5yyXB/g3 wgGR7PahUQo99k+dTwY2gu7hOW5LsGMDpkZOXm2EOvlNg9tHKHTuct6Po1GN 4B5Ju3EL36fGYZrBO582wq/12ofmiShUGS9OaNQ0gjUt06+sj0I/31beZqo3 ga33zAupJgoxBOL8Daub4HTaqrI5+P4v17WyT9BtgrX92mdm4/4gNfOr9EHj Jvin90/SCIdCHi++xbbYNwFPM9eojkmh7ifV8T2BTRBSaiEw+E4hQUzdvekf TfBYdk3P3wIKTfqyk9dcaQYhc2PwgzgKORm5/rs2tBlmvpcSTrEUyp7VHbkx vBl6WFkLFWIo5JY4et40rhlul87eGB1Noc9fVWwd0pohVSNY3hf3VzeXHxu+ XNMMrwYcY0aCcP9FCOyrVVrA/KVa+lYvCulsnzPj87EFEj1TpGMNKfw9kLWa V94CDhcM/vmN+0kDxb0Odt9a4F4Mp33LBgpt7UnM0GG2wHPaherfaym0O1Z7 J9XdArQrN1naWhTyb9yVGKTQCpkdpiuuqFCo+HzChpiTrXDvfu6uo1MksklT P567qA0ONj9UkgonUaDaUY12l5/wV7+6+OwtIdLl75/P3fULrH19nTcHCtBC OWpu5cQveOz+PD1Eh4/EUfK7FY/bwfkxt92F249OGXxsnLezA2rCnvXXWfWh LDuP1LKRDmBw35Y5JfWgPwMq8t0POkHx1gDvm+A3yt9nMzvBsgusf3z3nDfV iUJtI1LyuruAfaBHo2p+B1Jv3cFLj/gNlGudDl3yF9psHJ6weEM3+IUby/K9 mpHLUvr4LFY3MPA9UfyNQH9qYjvOXesB58hZK2wvMlGiuFuAo2Yv/Dow0mri Uo0WtuWniVX2AmP7lu8nv5QgiavXnEzO9wFtbO5dqYeXEO2127sOhX44F7GQ 9pIoBP+kd7EKFf1QLS1VFHCvBj7pRM1dcGYATjA9heW4z1qww1/3uiwfLAMj 9s7vbIEWPQYrqJQPsjblxW+VOiHnKWh2uQmgZF9r+4ffPeD6zmiB2owA7hXN 4m81FEDB4TFZBk0IS8RO7hHsEoCsZIn0jdlCqMjKK37jI4ByF9O5fXOFwNFW VzuaKAANKcu/eQuF4L3MM/bmlAC6vRwE9muEUBd8Z3B+tRDOqPh9D3ESQt4Z Ke55Iwq+fdWrWndQCAZvPQP5FhQsO09WdhwSgk5WQch5BwoYVf7ltkeFoLVU ZVGyHwUbLgYVKvoKweHrI+uz6RSM0iOfZ4cKIdKd37BhoQjCIp5da8kUQlSE adLEpAhkAufsOPZGCFnGPo5j8wYh6cRphe53Qiip/nxLTHkQPuw0SSfzhOB8 /aSkqcEgdC9gVoohIUyB/KLdpwdh51Pa3DUsIUT7f/EV6xgEpcKjcRcnhWA0 faOaJIYg/dXXAxPT2Nr8Unr3EOgn6SwLpZHQfYCuXzEyBHZXR99FSZCgKDX7 1U+lYQixiGcmy2H7v8gWdx6GDnqZYsUKEipM+2Br2zC86VVLlrUnocRWMkZ2 +g9EPYlwb9tNwo6ns26pK4yAl6Ng5VsHEo4XsP1cVo+Aamlpzq6DJIzoPsrb 5TgCt+KPfIvxIOHysWHPLZkjcMLokUgqiATxsonlBzxHwXKAVtgUTMKqcD3i QvAoLEs9EZL5PxI6+nP49fdGgZi3ac6OcPy+HU0WVl9HwaqVUI2OJyHslFLg eZ0x0AhXtJ3zggSx7ty1FnPGYWZTiAz3FQmGJi/OBWqOQ6Ogs+FFFglK7sqO aubjcOfgB1frXBJMjHRUOf8bh7/ajhciSkkYD3oIBTPj0PSzeNN+RIJrtlqe 0fIJKEhQn9GsIIF7Qcz0hPkEnJmhoiqrSCigLwuWj56AFmb809ksEmQrt+02 VJ+EoshRTxaHBHs2O23cbhISthxdk84jQSI1WVwmYBJ2Pl+bZ95GwsKdjOLi uklYdfhBkEI7CfrfMwI+TE6CmNyMWUcnCQlKJsYVulNQcvnH92t9JKRwnaT/ 92AKHugZxjvwSSjK/bZhOWMKznc8dlIn8XxnJla0yUyD/UNxFZGIBL/xrs7a vdOgZe/3s3yYBFvjipk7SdMgPoudcWeUhLiHJ/eMCKbhV/4WX/cJEk6rBkec 3DsDpb7p6/SnSfi6ySxJQJ+Bh8vm//n7lwTHNBvtN9N/4f8G/zYM "]]}, Annotation[#, "Charting`Private`Tag$2601550#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV0Hk8lfkCx3GJERWVUpmMRKVkWpi0zPSdSmWJkKXFUFJM3ZBpsSWKUjed 5pWxtpNCOYi4l/yKo315nnPs2+Gc45DtcZKd57ndP76vz3/vP74GXv5Oh5WV lJROf9//a9+8OF+RSuEZz16tvUtOXKbNT7v0iMI2a5/kzXpyctXRu7T7CYVO 46HAvIw2Uh7Pr3V8SiH6VU5elWMbGW0Y/fqsiELRMhttvlobWW2wffqCUgom peYei17JiO+Rv5dGllNYV7Cq/N4VGbmT1bhZ/oZCaIPXw+zdMlLdt9Td9hOF NMcmc6eFMmIZWnp9Th2FNRbea6UvpST0hXpWSDMFf6+Bu8P/SEmeqkuFWErh 9LGmlPpjUqJ/vWsko5cC7Tq+y2SBlJQePJeR108hfKhDVjEsIR5m2nuLhykk VwU2uFdLyM3qDUUflGkIFbzny+MkZJ7eldOMDo3APo+YiHkSMivTuN8cNGz2 ySWVG1pJbmjJ/d8saRzWWxcwvrCVONg5OG23prHmvlTjrFor4fWdyXXbTSNl Xu6j4KoWMs3itX+ID43HeS9MJp1qIaqCw92E993XXJ3YcU5M0v4ZSXkTR8M9 d6001llMLH1ibekkGhF6FvZxy8TkvEZBpiSVhmDP6daiymbCOqj8qVpEY1i5 zmzuymYy3HS/zaaFhsoPaYkWXxtJ15C4uWqVEI2ZOT5x6fXkmQ+vzGatENQ1 hevtiHoSUbMpnWwUYrTE3b9pXz3RKbx1PGO7EFE6h7sGterJltP7x8PchbAS nUgIDasjyd+q5xvFCGHfcWj2FI9aYqX46BwoFmLQ7GLdr5uqSVpn8TvNayIY v7wpK3YTEr+EXYZHb4hgle39/tYGIbGwlIZWJIqQb7yn4YaekLy7pWEalirC IsXAzWIpTRQOe3lfikTo+zVQ3h9Ak02Fg7sFUhECvEY8G69RpO7C6qbg9ZVQ SeEvLcj+SDT1HjIyWSXmudyZWrLkNbn6Z8GRu0bV+P191xKqvJAM/p4l8z1X AyXrhrPeQ3+Rk2sE+TrltRgu1fDpO5MHcbbg37RBPYy2WZbM8yrH2NHKlGUh DXgjjlR63/0BJpvV2CPFjYiJejxfUSbEjvsGPrlzmxF2YedWZ+sanNHzXNTq LoaOw29BIT4NWNHtMrXGrgXZLqPrTfeLoa3VN0Uw2oLuyd96+l+3QoWk8A1v tsLrRW5Ff4EUx8yL69RtJcjRivI9W9GGLGuvu6WDErzTDA27KmjHQJfuDHm8 FMKfToQPp3xBwe4dk+MsZVgxLC20i+/COavoO/lyGVr6xgVTj/XAoMmmNjW6 DR8a/C+GmTHYYBEVN3+NHAY5rz6N8vrg/tPnkUkiOby1rSblnFRg4F2sJCCy Hcr7lIw+H/uKRBWPk05GHUik/Fx1nfqh3VxwX1nQgS3bit+Wmn2D6tlI5/Un vkBJ7eGRAuMBKGV48CWzOiGU2X/unD6IwGR+7KyyTpjfO7nmpNoQnpvETJnp 14WZNZf3bWGHMNMmcMV5zW6kSB3MxfJhNJpSouCSbnhd8HFpkI8g5zaMZB49 6CjYZTpeP4o/+Gtn6rE9gMbL0GR6DBHR9yIbM3vxWbupP71zHNPPqNkcfNKL DqHh4vbecST7Hp8l5/ei/UdPgXH/OJ7ark9l8ntxRM/JI2dsHPKZtECZ9KJ/ 884IetoEbG8rTVkm6oW5s+4Hz5UT0Cn0vHZqrBd5q6a1VJ6aQOqjCtfRiV7o xGnusguZwKpkE/1zSgySB3b3vQ6fgPXZIX6MKoMfLfnd5ZcmELaVR6doMcjb Hv2pJmkCks+ls8sMGVD+Y7pBpRN40qGXormTgSKLmtavziLmVvSBZnsGJrwT p/ZosfB26lmc7cggZCz2VdlsFgtKSnLs3Bi0Pxq/m67P4gpv/6urXgxo5clj 2b+w8F2bpNAIZlB31VXe5sXCskupsD6UwYyy4+qPfVno3/UNywz/7tUkNQf7 sahWX6dmE8UgfcmeTNMQFtuaqhdc5jHwTXgyMPE3i0VRs63U0hkM3ehaFFfO gl0XNr3mEYP4gTlLubcs6nqkwvQsBsPh154EUSyuuz39Y3sugyTDSKvkJhbc cqe/oksYXLazVc0dZlEv/s86F8JgzP2tfgbH4lmcAWtUxiCoVnlq0Q8c/Ni+ GMFrBqVVB8QL53BopHm3J4sYtB5SX7/XjEPRxaFDoqrvXmgCu3kjh7iNnstS axnEmOxwdN3KwfbBz/lbmhm0fDj/dI4zhyX74oNntX7/N+BywEd3Dspa7CaJ lEGB4mfBu8Mc/hv08W3kFwZGhvlHBUEc4k1/4Tl2M3ieRE9uPc/hhOSmswHD oIlZfvFSLIedCSq6CgWDwgcjTo2JHIx3/kv84huDFQd5W+Y+4KAyqTLt+hCD FN2f9sfncWgp2Hj0wCiDcLfekRllHEqOpq5cNcHgzCF+woEqDgn6Uwc4joGb v59XLsfhf/zzBy4= "]]}, Annotation[#, "Charting`Private`Tag$2601597#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4VVsbAHBJJZSiQUpFlCJ1ZYy8KjJ3yVD6hFBKg0jmQiGJdEullIS6 xszzsCRSis7gnH0OIpT5nL1Jpgzfun+d53f23s9a+13vsGVdPI+dERQQEJBf JCDw3+/RToWi0VQa+DJ9jaZV+5Gt2Ia02+k0qLb68FRiph/FWLnVjOTQYPPz cVPkNoDeP87lWBXS4KeNkERZ4QCaaZ8ZKymjQZ3G/9SnxwfQX7JHVmyqoUFs SOpw0u5BdO7sPzvC3tOAdk9riabzIHqZ1XGw7yMNNqxaLaN/bxCxqR0OZi00 MD2ksTy/bBAZBNXcX8ulgVShtI/BkiEUVLs8K7CTBhsD787qKQ6hgiW2DV29 NMgceeN9wWQIbbk/PJ3Bx+uJL0jvuz2Eak6HZBT8ooFdibiAbsoQctwnaV85 RQMbjZZ9RlVD6Dl7f9kXQTo4awaUlvOGkJRMtC+5jg4tlZcXWo2GUSlfZvvU RjqIRg860xyGkV1tPktAlg6zCaUOB72G0SNXrpqEEh3uxPz9OzVhGElkKv5S AzqEu1dOb+sZRvlBVSkHDOhwvXz57+hfw8jSwvLYERM6NEU8jX8iNILiKL/8 49Z0+Gv0TGi+wggS02z0DHSnQ824hbuR2whaUn8G30SHjSFXbluyRlDao+nE j/F0SArPjPXrGUEG7rFm9Kd0CDxbW3KRHEE3RYoze1LpoNWkcLhRmIfmLYXO LymjA0c/QMlFm4emvqX8NP1Oh7Kr0XU7HvLQk1yNR9Y/6RDbqXCw9gUPaYQ1 GTgM0SGdJ8/RTOeha/JjqZfG6fBw7pNyYxUPjXkcdLkvzIDOsDdiAT94aHiy q5O1lwGSrRuEs1X4qMQ9rs5UgwFVO92u6mrxUSih9wbpMKCHbduQd5CP1pW+ uJRxhAFyz7LVjWz46JDv/2aDHRgQLD+4VNufj56NszfIRzEgprjU+kElH51x i5xLiGXAWuHVsgnv+Whvq3r3iocMaELe8VGf+ehDYXz65AsGMP7SLdvVzkej 3sc0PxcyoDp65+3gaT4yHm228e5igIDC8eh4VRJJnr6u1f+DASG05y7u2iTq pClvchhigHMy2rtTn0Q+eXd7DX8zYNPmhLuBFiR66WnivUGUCdc2GC466U6i CV59XK0GE2y47Zc1EkiUNlTZtPIeE/JEwDuKJNHlJ39v83jIhKk0352B4yTS NOgNakhgQrf3lL3zNImaXojsDk5lwulb8yYRiyg0amkfN1jGhMtTs29GRCik VzphXd/LhDv0PlSxiULCbtHZWwaZoDQXY/dtM4UYqzYvCeIzgXvKZ3hmK4XO eBiW/DWN1w9o196hQKEYmXiplytbwXVfb7jhbgpxb/31LUC7FW6Mj6i90qVQ yt4GdZZeKzx37Tb016PQxW8n7u01aAUPef1hU30KCWiGQv/RVggpU1jTe5hC 24daXtm4tQLzn4iaLlMK+VhePLsnrhW0nOqkV5+g0EqZf8kfP1pB/lr06nBP Cunb3frWO9gK9u430+uvUMg7zulzD78VqOlqOUFvCrEXSf37faoVGsceMq76 UCipL8qxQ4wFcn+tSlANoJBKnkczU40FetX77GRvUsh58EglQ5sFE4qz61Vv UeiB3LYMuh4LxruXz0M4hSbi28O/GrPg9ZdKQ+tICtUEmOt+dmBBg+sHxRPR FLI4rJJVF84CqS4Hk85/KHQjWOTpuzssiBMymqx7QKG84r7I2nssYPFdBF4/ pNAaxZcuNQkssBlFe08/olCH2CrpimwWuG41c65IwPFij0blt7JA4ZN8/FgS 3r94i28elwWigf6Ob19SiGac6ZbbyYLo6z8L3JMppFbpop8zgO+ntwoxX1Fo 9iVzMn2WBcuv7noSk4bP63zx2WR5Nqw2mSqIzaDQkH5OlOguNnzfUdW7J5NC RlKvM333sGHNvxZOX7EFG+P55vvZIGT27tDSbAoFyPv4Tv/NBm+HIjGbtzi+ fy4kuNmyoX5xz8/v2GpM14qvJ9nQoTi59UIuhagw6/nXZ9hwLu1Ho18ehc52 qUYeC2KDvxmS9y6gUH3JrvTqUDZs1jO1H8KWuyfXpBjJhrsHVJc4F1Lom67E yoX7bKBcnJsPF1HI5tnoo6w3bEhz6TnDK6ZQgddg6bpsNtxuVn5uVUIhcZNu blg+Gzpnm08VYjdN0mROVLHhxb/pMZ6lFDpom/daiMEGMdvXbU1lOJ7K6Y2e BBsKJQpyNpbjeC1OHmzrYIOPYOlmD+yygrjd+f1syCCf9S5gr4u+/fcmHhv2 v+7TMaqg0NXTIV63x/B+NgjpxGCrrPIsPjXHhgtCJzXEK3G8+88SHwUJuPeT q2GBPVTjOL1PmID5axV9UdivLx09ICJJgJr8H4dpbEHDI07XpAhwWRGyQ6UK 5+MmvbDvMgRQtlkZztibPu9uKFEkYL3/2m812IEpCv2yKgR8lLB9MIRNBMgs j91HwMAb/WVrqvF5WK1VmtIiYBmj5YAO9gPFFRauegQQSmOaztjUgpBny2EC vKyeTt7EPkrM3tc2IeAx9fZGKvbyyJFWcRsCQvurhr5hnz31YyLQngBDSz/m JHa9WodUnyMB7PPyd8Vr8PmJte63csPXiURJBezQ3s8OVecJ2BKTf1kLu7Pi /Y0dngTcYKsnmWDrPKhMfuBDwJrzv1NPYCecL6ybCyDgt1t52BnsCf2sH+dC CLB2NdK+gl2VNpzoF06A9vvtZv7YN4WVrSPvEJA5mxJ6A9v44kWRR/cIMEfy 7TexV9Ky36U+JOCoooRDBHbrPp5/QQIBXz+2CEViP3uye++7FwToZ1eyw7Gd /1zq/5pCQKqjJjMMe7vT26TOfwmoHnvxJxh7pI5vy8smQEPYxMoXu2D7nhWz +QSk0ONYl7D9oz3rRUoJ8JRuvOOKrcfPDdpQRQDT/KDncWyhY5Sq4jscX7+j t/97/6bivUMaHwigWesytbHvb/B6ZfgZXze1s1HEtruef8KGRsCDwJ+ia7E3 dY+Ku7IIiKne+2cBx7/HQLXRq42A7pzgbYPY6eneN0K7COjNEo2kYV8WK1SP +0GAVq+MfMl/+XDl18iLQQLWWo7OP8WeYe5Ly+YT4FP/bn0wdmRikUTTFAE6 x/WE/8sX84XxT5w5Alx9jvesx5ZwVQ/rF+RAaLLRwhjOt6RdJaTQCg7MHb6y NA27uLz0C8hyQOXnB49RnM+BMlO3jm7nQLne3eBabP0wLZ1TShyIyvJvi8X+ YlyeEajOgZabx0K2Yf8gKiKLTTjw8JNqzH5cT5k6fw7UH+XAV/L65llcf1de 6vxmWHPgqfSnJVX/1evZKlfqFAdqTNMJDew1E9X6St4c8N+j8EYK13eb/fyk th8HNmtIzX/B9Z9crZdrHMwB6qFnYQi2cgSSORvJAXLXqf3fcb8wWPNuJvkZ B9qKbVixuL/4qNYXrXvPgXnejY3PcX86q7Y1+Z+PHJCyqFZXwT6hEXxXrIUD H7QI35p8nM/71VwEuRwI/GzmzcX9TvBQmjifz4Gr3XcvT+P+GGcV7tEgzQUx /Ur/HtxfQ62/2+pv5YKcvdSd49jetroHKxW4oFSvxGjC/dnOfnx9/l4ubPDK lshOx+d/2q3h+REuyKxV97B/g+NzxWCrjzcXMhb32Tnjfv/cO1mU9ONCzYFn l8rxPIj1mZ04f50LZTpbmldhX/EvanaK4sK2cx4eFXieaIbKB5klccEy2l5r OhHXc5wQW66JC+jXBVLhMYW63tbfpcu2geWxNPLgHTxveEIjqjva4Lzwut7z URSqVTY0j1dug4dDUyb3b+P4ZjaIHddsg7YrItc4ERRyefMhtsO8DaR0Bm3s 8Hzte/Exrt+vDS70Xu8QDqIQL+bLw7nmNphdxOmwuID7w2excUdmG+wYW5po 6EGhFhELm1pOG9yc9O3ROU+ht1HNa271tgGNEy8u747fJ7zlkfB0G2zzHf3V 40Kh8SDaE0n5dgC9vAsbT1Loj0dr4s7AdmiJvbk1yAjPD41T/6iEtMOTsepF J49QKHtRX+S+8Ha44F+YrWlIIceESa8D99qh+sKN0+QhCr1rkDa2SmkH0zeW xyzx98vtrafH/ZvaQSBZMoejRiFJNs/8o3QH2MiOrFgqSyGlg8vmz1Z2wGBb nwVtmER5mVk7OLUdMFAYmlw5QCK1NZZWJh86QKr0uWXaTxLp9iekKdE74FBj +JdLXSQ6GrvLjOrrANOcOeNuBom8uRYJARLfQKrpuoBZOYnKveJVY85/A83l mo9UwklklCLrnr++Ezz31/3rIEEiPxknuW6HLnCKXSH4ZBsfKY/YihIW30He 2u/Ksw08JClOCdfPfIcEuy2mz9jDSAgl5m573g2CMqIeGXeG0AW1Su5ysx6w i/bYLLgwgLJMXJJrJnrA+cuv3Hj7fvR7WHpV3+Ne0J+uzpIu+ImKrY0Wxxv8 gCNqNLeTDb0oxDjiZVHfD9CVTv/HltuNZL+ZclIjfoLDR95Nx7wutF8zPH6D ah8MxPmtPyrejhw2f51exOwDc8NFC/l+bPS7KbbnSlg/qM0Zm/Yo01GCkKPP MfkBCI2JWjXPbkSSncUpgvUDcKXop8eRlnK05HqYjbbXIAhofG1+ZXAaCWQ4 5vZIDAHVGNnwJKUMvJ/lxkrUDUGZ7rnF7mQTVCtFCa++PAyWCp235tRZsNrU W/nmyhFYNSvqNbPsG3TspjEDqkZAy1HQgbu9F/KSQP6HIw+8izNoJb/64VSu xmqZeR40qkewJA/yoOTk1EqaAB+SPr+6V2HPg5VLK8RuLebD6KZfZl7ePKh1 OCA8KMyHzTrqFuJpPJATMVgokuRDgK46sQr/3+dmxTPfyQfZLKGuI0w+XJa+ +CnYhg/+4/GvkQ4FHxp2N+45zodzn0R11E0o2OJF1vfY8+E1y3VfsR0FtEbv WmMnPvwwPp/T6kWB6rWA0jUefCALcsPi0ymY/Br5OjsEr3/aoE9FahRCI16F dWTyYWXRMrsUgTFY4bfM9HQOfv54g0jiyjF4du6SRF8uHxo6PusmbxqDQjPt VLKID6YNXSk0rTHoW02vF0R8EOsLcG32GgOzJAHhnXjfiu+/+J/oG4N1pU73 rv3hg1FKaDDV9gtS0xvsZubwfvL2TDQN/YK9z5S2hAiQkOARNVQ68wtMrk/m Ri0hQVujw7pJehyCD8fRE8VJ2CovucD53zj0fK1ZU7eNBAUyj9HTPQ45AzKJ K81JUA/ovW8jMAFRLyKcO4+SEJlTGeG8dgLcjvEU3lqRkKO02CZ+1wRsqqrK szhOAvfj/r/9bCcgOu5/H2JcSJhaDC1GORNwTuPpqEgACbofknwUzk6CwbBA aVsQCQLSRbo6NyZhS/K54MwbJOySrbC+93gS2Mu1lpmGk9Aqquw93jgJht/Y m+7EkeBRf1trYfcUyIWvMV72hoRR4UX2d5ZPw7xW8AoinQQJ7s4tRdungcvr ZbzJIoE3YHfa0mAa7h8vPHUknwRfJ1bgeOg0LOw6djWiioQ+Xz31bIEZaOsq 17JFJMyTmkxZuRkoiZedl68j4e0yZQtjgxm4PE9F1TeSkDhaUciNnoEOelzS YiYJGUFdDs1yf6AsctKVySKh3Gl1RLjZH4jXcdqZyiFhRrXMIvraHzB7rVJ0 qJOEEq+c49Itf2D7yccBEt0kLF1/7LvQ3B8QFJ/X6+klQcZdpm6xyixU+Dd/ Chsk4WU03ebFk1l4vFs9zmqEBLmhvkZl+ix49Ty3kSVJuHhrXSZ75RyYPxGS Hh0loebmxtS3VnOgaH6xq3achNiCx/n/S5wDoUWtafcnSUgXb3/3mj8H34t1 PJxnSJBfrFEwZTkPVR6pe/bOkfDUjPx0jDYPT7aI/l5YIOFU/uBoztwC/B/H kQdB "]]}, Annotation[#, "Charting`Private`Tag$2601597#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVU3s41HkfFbVUOyxZxeqiJpuNkjZUXielm0tv0XVVSjfkUl5qySVtZLtN bVO5xBYSlbCIUN/SqC1J8xvXYjAzhgx+WJdi5vdb7x/nOX+c55zn8znPc0y8 At0OqaupqQWO4/+cHJJzLEUhxI9TfhU/vy4ndW57Bw/SQtjxp0Y2idtJCHcg zX9QiCUzMzsW+LUT/eEY9xNfhVAu1j0XadBOCl4bakQxQrwzMnW8+15G3BOy /zqnQWFe7wLDrTwZGfB18LqiRUF8ZL7p0DYZuWpXq5vAoXCBm01NNpERS22f F3f0KPg99FmbTEtJQN6VOfnGFCKF6SnVfCnh/Mb9UGpCoeNIcWair5Q83Foc JTClsO7euvi5q6VEMdIirrWk8CRKT3F9SEIeH+GVO1lTKNl8xnXRewk5XW+f QVZS+OblWMbkTAkxKEr2z1pHwaVwxbccTwlZfcJDGb6bQvn+vllv6ttI4mCd ITeOgtW1YvXHHa3k0MFYVfwlCqUivn1TZSuxrFnWxrlGITXaapF3bit5lc/P HEmmoFSU/pMc1kr6g9xsKvMpSG9m9HCmtZIN/VVbg1ooFLQ5bA9KFZNp+yNs O2QUptxZmGsULCbiD+bGu7so7Jz+5odF68QkOPeCdO0Qhc1OB8rjFM3kz8CN QYZTRSiJ9CoqXtFMhnsEvOfWItR8cbxT1fmJpHeVvtW+LMK75jBe54lGEnDz v/N8r4nQl7zkqYtbI7FxlJ6qiBfBag6nssWikbxNnmIRnibCPqc73/PaG0j/ 5l28z8UihDvtLhrb3kDsi4bdBdJxf0nhUV+HetL425Lm0OU1iLdWrg+2rCXa M+/RMlkNfllWEfnMU0gu+hQevs2tg75G4YkZ374iw6seyLyj6rE55OqW84H5 JNhKUGDwsgFqlhrUS344Wh4JLghNPkLL+e+8NQeKMOZbk2QW9gnFfyz1E7+s wEIHTeZwaRP2HfB6/Meb91ifanIkb7oYt69nZTXPqsHJmZ5z23a34G1JLXeG dwPMu7dNrXdthaPx/E1LzzRhmk6flmC0FRJP6sK1gFZMJEk58261waO+euV0 fwmO/lzaONlZAolZSODOSzI82Oh1+9mwBK3mnEYqSY4hhdF38htSWOfFmktP d6LQfb0G31EG7bTYyO2/dyFqQ8yfBXIZpnMTsp74dsOk2akhLaYdg0MPX3DR ixU2Z/mGVnIYpl8fMTbuw+5Z1V8niOTwqVZuuvxNP4beXpIci+4AVaH5VaAx gPiJe4PduJ3wIrEn79MDmCYuTFUXdCKxpMDwed0/mBQRvXX58c+Yu8maGy8c hFrW3hyJXhciRR7Gm8qGEJSYc0mvvAuLd861ay4dxtOFcVq6AQoUenrz/ioe ga5TkPkZ7W4c3F/qbHjvC5osPohCy7oxP63sUGr2V+SmgCvb2wN5isXpNZmj 2JNjrTuT6cGAU0FZ9d0xnI65E910vxdVEWUuR18rwTmp6bQ/uxccZ0HY+0ol Er399eQ547rCdunSD0rkOy9Powt60Wfrs31CoxJyXaFAnfTi3Sv9vtwuJZxT 1LTMRL3IPXXfwEtbBYMiz8shY71o9GSKbHaokJZZsX1U1YtHh8/E1HuoYJm4 cHaUGo0qd9O80H0qbIwYyYmbRKOHz99Q4aNC+BqeMEmHHt/f7Mth4SpIqp/p l8+jkZz+ZMqRVBWyO2cmabvQYJTbujL6VIhLjtkn3kTjo12B16phFQ669cx/ tIWGoKlyfsuYCsZlZbmuO2i463zSt9BkcJ7n8eqiFw39JO8M7VkMvK0T+qeE 0tB6ZT9Jx5WBo0Kt6OMpGrVChzffuTOYfds7/H4kDTvZxUajXQzqJttqOp2l sW30e3bDIQZrm+uMf+fRiCg/ZmkQyWDuWf0Nmhk0TOcdPl6Vx4CxDefUZ9JA iZg9XcygsUdKZTygcckofakjYXBlR/6edXk0bmHkvfIdA/Ynt//FlNEoG/17 tttnBh9bnthuI+P9iERUch+Dx3wThltO42iB1xz1LwwCmL44wWsarnLrxB80 WTQJeSkaIhrCD9Z7hKYsimNHDohqx+9VWCfMWcyCv9LTLK2Bhqb/+XcpNiyc 7y4qWC2m4eH89cV/NrIw/eVGqF4bjV3mP1n6ubFQ12HsJVIavZV699s9WJT8 WvUm+jONGde6bikCWdywWMbb0k3D7JyTLDGMxXHJra0mNA1OgJVcHMPC5eZE o/5+Gs4jcWLxVRYLXPxang+O5zc4atansJg4oSb9ygiNe+3TX5tns2gtXOm7 b3T8/4drxHefsijzTVtsqaKRwj+vWEWxuDl76hDL0jhfvMj2AcviXxHzvYY= "]]}, Annotation[#, "Charting`Private`Tag$2601644#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8V9kbB3ChaLEbUZZIkmyDSORRUYQGyTJjiYwwkoxICEMia0haULZK CqUNOZItUnzX+7Vv2b/fe0lk/93fX/f1ft37x/Oce87nPPIeF23/5ubi4lLa wMX1/2fO5bKA3KlOGEyZzhDpGkUMW9c5T7wTnnSNSTjfHEOXFWcLLsx1Av7Z wvfI3BgSn79+OnixExS1So5JHxlHlc1SPJFrnUD7plWtGDWOTt99/vIGDwV+ S37JKHgzjmZ9j3ik8VMgN0s1WGNsHN0ypIvcFaCAj4qs1nGxCaQp6PPxkSgF Sm9OD/cYTCD/irRdr6Qp8IWhy78cO4EEYhQ7quUp4CRo4GBfPIFK7d5FNihR 4FqtcMSPxgk0tdDfR9ekAM6z/2YT1yR6cz61/qQuBQKEJKvTZCdRFNOoGBmQ 38eNX5EwmEQSb3MuPD1Ogbgpy68dAZPoaPBfK+HOFOhpFjl3rXMSCYxuGZhx pwAzoevR17FJhJ2p+uR1ngLYTsry1dVJ5H9AKtE6kALWonVKInun0L05hpRi PAVoKUHFMkFT6G/PuNXsZAqwXouZHo2bQpq0A4MCGRRQFpyvXL8zhZpeZT5Z yKGAf8iHw45VU2gm0Fav7RUFXI7ekPuxNIXMZtrtAvspQPm+UJDlP43E3CMO jo1QIFTv36c/w6ZRX4eqtPMkBbbo7CyVSZhGQeWJw6Y/KVD5eJvzt/xplHfR PFBqKxVcPvx6OUydRvPshtQ6XSrMHS+UmlJjo48uQf8eMKSCU65iTsRBNkpq 3+1QcoQKXZWXvKaPspHC8/9kMy2p8O6B9bq7AxtZ+Rk/P+9BhQpHJ+H6a2xU OFndKphCBa1J5sPRZjbyv/PHbt8MKmTJVjqd72AjPZPhsMZsKkTvm9T7hrFR a84WtfACKpTfcpaxn2CjGWun1Il3VNCXlPpusZmDjN7On24YpsIAq4OibMpB /J43S+UmqLCiHRdgbslBFGHZjWEcKvSYeFPsT3PQ376mb35fpMJGyuzSQXcO SpLJlMwTpIE/u36vQjgHsWJ+7w3Vp8En4WLpDy84KF+z8QDdiAbhmXhscyUH +fU6pmia0MDDls+9voqDuPSiYOwUDRrsPmrfbOIgpcmvj+w8aeD9Ss3kfC8H BVn7eWmk0iD+l6RAOD+OBGUe4yMjNOCPSzESOoMjY/uY3uEJGmQp7xTe54Sj wFS3tiEODXSzyvX1XXDE2CD5eOAXDWivTMYN/8ZR7mi8a882Osym8YxTg3Ck Xu7bTtWhwy5qwQ6bdBydnTheTdGng3K4XRLrNo7SFXY/7TSiQ1JZZJTTXRzN Z3bHfjMj3w/H/m78EEe1oZaGbc50qDstEljyHEdWx9Sf1cfSoZf47fZ6E46u hW+5+zGBDna10658rTgqfz0aV5dChz4h6zt87TgSV87zqM2mw5a5xRszFBz1 bBPeUVVKh181W9v9+nDkx5iJr6DR4c1+s+itc2T9Ql+Dy1l04OUXW82bx1GH WYlnWR8d/J+sF6kt4kin2sP4+TgdxN9hT3XWcLSSR114skIHzO+PU4s8BEry ee31UJEBWT+aA3YKEGjS+Hn8VhUGvBH0YJoJEuiEZFFJsAYD7Mo23AkUIhB3 cybH8hADfMda9apFCBSqGBS8+AcDpH8K3JWXIJBXv1acbRgDtM+3B5yQJVDD G5UnH6IYEJ6ROmYoRyCFFIVW5TgGLLb2b9bYRaBeQ1HB9TQGyKJP5zYrEMju 3sztZ8UMUOMfnsraQ6AjZ8qLeCkMKG02l5VSJVCu6pPmi0wGFJV7uHeTXuF5 ONHVw4AzaXWZ99QI9O5lqlrFGAPOJY50C2kQSF344muXVQaYbn1nz/id7HfM i9nCzYR7Zho3orTIfmtdF7X5mWAqLt60V5tARRdOHd4ixoSo/MiICzoEkm5T a3yjzASpRrMDDF0CXc3fMyavzoQU3S4DHz0CMUNlNidrM6EW5fotkk5XFrA6 Z8SEPMFVJxF9Am2Om6YJ2TGhPHaoVs6AXB+XkfmrTkwYxaUDH5Bu0OmRHHVl Ar+buo+EIYGihtuca3yYsH1EVIP7MIHmjZ+NeEcy4eT7yQvvjQhUUzh1PySW CZ5L/Z+lgED/8auejktgwuIZVyyEtGBH6ceCDCa4Vv0uoWZMICW3F7l9j5lA ob22Cz9CoOl6zhl2KRPGfe/HtpJ+qaQhsFLBBE2ntSsSRwlkxCkLk6ohv+ft evuYtH1EhaNdBxO28uh+LjtGrsfgjNA5OhMaTC87TpMeMtFqvtTFhIuN8zVK JgTy3/bqQOoIE7KGvgrcJq0T8GM6Z4IJf21XWGshvUTVLizlMMGpo7xtiXTc /UrR1l9M2OJgucnRlECW63OfsVUmJDXqhMSQFj13IHqMG4O9IsLtpaSxpssH 5/kwkN5Zv5lGOlflDc4rgEFTv4rGImnPlPliMVEMKqKVQPo4gVRmdV0VtmMQ YJdscJj06/dvv4A8BleFp7hCSV+V+RVzSgkDo/nI9gzSxtEHDVz2YxC1oya5 lPSm71dm/9HEwNnz72OfSH8xe//06gEMVFWMCCbp9NLFswmHMLhisDFrkrSj 8CHJbMDgyeRl3WXSskFXvxWbYHBXwoy6+QSBRphVca/NMZDU0fSXIF1isHy4 4RQGWg79/PKkA/IMflJOY+BpyFO0j7QuT3jpoCMGL22Om2iSXvGqOUe4YJCF /hjXIV3furJj3QODjkuf0vVIx6sfpgh4YyC366jpQdKn0iMSpC9g0Gnvs+H/ 78XnPxjvDyT7jaS2aJPuclpb0A/BQGF8e4466YcfjMrMwjFgtLdG7iXtJR/p 5RCNQahHRKAsadXrSMYrDoNJ+odgMdKz4+u0oEQMal22p2wi/c7SOCkmDQPu w6JVC2T/18qjjqXfxmC5TXtllLSJ+Melh/cwqIxcO0MjveXKhpdleRhcn5lp QaQ7uo/41BZicG30pv1T0lnw3672pxgU2h/jukXauaCe2f0CA+Og9OZg0gp8 PKmTrzAYejn9/E/S477Hji++I//H10+VhqSDtBoqJT5hcEEuf98yuT+8dHY9 vNWCQQHTKOn/+8dRNzxx21cMlHSL6p+RNjik48HNIuvXHag4TVrVMM0qoo9c v/c6/oqkZY2mD/4axgCrtt34g9y/3EcLhTgcsj6txtYE0nPHuJa95zDYZnBt xYb0d1Pn0eFFsr6lz0KSpFvMxT+weFkwlVA7mEOen1SbWN/GHSxQrps8m0ae t6jTA2eMd7EgIlKu/QTpwDOGR6r3sKDIp2/vKnle7Z3mtldoskB7wqDMnbS0 u2fjg+MsmHXI1hQlz7vgubry7ZYsmA+zN3xP5gHX39IP0m1YYHOAftSV9LA3 LTDemQUm9xdN88k8KQkw2RUUyILg4QQrUTJvHgQ+3IqHsECOb5vjUzKPkoNW 5n0iWLBpC9XbiHTAlcp2t3gWPJlA+R5kfulFKYZZ5LIgLSA0N4PMu4ZUXoZC Kws2y94YyD5AoDe3zn7M+caCC4m7Z4RJP8moKZWksyAmbL/MDTJfE+8ExQgO sKAuKfjLBTJ/bfNGNJd+skDwhmWJIpnX/S8aEjvlu0A4rMhfn8z7DjbvtNbe LvJ+3/gtaz+B6lRNLTNVu+C3Xzf8Z1XI/VvSuM1BrwsYLI2LhfsI5FHclNxj 2QW8FJ3MH0oEGs1pSR0L6QJb/QFrkCcQO+lLxmp7F6R5O7lmiBOor23bnCu1 C6gCf6VWiRHo6xYruzqsCwppGrIDogR6Ed8uHjPcBT+cGh2VyPsvIPbrbf5F sh7pEKc88v6cC+u4I6bYDSp5Z4+ZbCLQsi/t/r6r3fCHu15W7TSO7HRdbqlH dsOuyzzpbZM4Kt0wGqcd2w1nf3s5SB/HkWv2wqXDKd1QdcwhemgERx8bd5jZ 5HeDeffnwe4eHN3Y5T53pbUbvt8JVLD+giMxBtuyZUcPvB2VVjv+lJwPHgUf bZfrAeV7eON6MY4a/Nb1KIo9cJXZQntTiKNgHpHdPeo9QLlw2VGGnFdYmjqL +NEesJisFv2ShaO8xKtF2//pgT1yS0oVMTjaf4Rvzau6B6SsJtQe/kXOKyXP 9mJ1PZDukhNGcSTnC3FrG/OmHvDLN8M32OPIcCy7cH9nD7SqV1s6WuPoVLKK BTHaA2cfH1odMiHnMZZVdqhoLzQ91pe6pIaj95cytZJ8euFWOY9UyAoHnciX P1+xvQ/cQpa6nNM5SCdbUKlJug+4KbJeO1M5aFfK8kiXfB9ktT4tZiZy0FIo 3YNXtQ8Ej7qfNL/OQc9tElwdjPvA6ruKmsgVDhLbMHNm1bsPBt1sRrRdOKjf rc7EvKoPzjVni33ew0EhMm4Kg879UFGfvdG6nI1Up89sZVoNQDCfRahABTnv CxH8DUsD0GLMY65wZQrxovtlux8MQpDkUNA/2pPoH51q1maLISiPN0h+VD6O npl7PKydHwLN9Ar/raJj6OfUDuHRrGGwLmI8PRnwHb0+fYIn02QEHNl0X8WE YRRpdj2vcnQEXvQqi/c9GkTyvSexguvfoVzHnzVn3o8O6cVmSmmNguVVGS2P ii7kLPttcQN1FB4IC6r/Js9AP1uThwKix8D5ois1p7cDZfO6BtkqjoN1csSw gWkzEut7nc/dMA7E5eAZs/p3aGNEtJ3+pQngUjY8Vx34J3A9dS0bEp2EXY8u HjaOfg+B98qSResngaBIyledboMP++P5RfynoCXjSv1PDzqInAxU/U9wGlr2 mVcYavZCj1oHNbRmGhgTVL/gg8NQnguKI65sUPT4qrvIPQ4uZboiMmts6Mrg ubJgxYY3f/4S7ODiAI3fuTjDiw2Cm6q2xfBw4Gz0JgZEsqHO+TD/BD8HXqYp v2opZ4PCFpP1SjEOWLZd7MgT58Copw3bch8HbDt+ekT1c8B/h9/ncDsOnPrX JeX6EQKaGtWaNRw4oJOdWvjzFAFyl/CGIScOWNDcdgY4E9DRHFhn5saBks3/ JMaGEKB1OfStuC8Hqk4oaKi/IGDhW1xRaSQHCmd/f3dfZgairj+K7inhwPf8 m0avNs6CQAjfSffnHEiO7AkvFpuFe94XREfLOFBa9MeBYvlZeGWhX4BXcoAT lJXbdngWRkU6G7gRB74s5R9+GTwLFrlc/PuoHJDp9PEUnpoFibduKZeXObDq bxVg0f8DCp402i+tciDw5IlZOfwHaN7bLxfJhcPXQxUTm9Z/gHnEQln8Rhwy RaXNBeTmIPxYaud9IRx+su/l8Jydg6FvteL1u3HoFVF+2P19Dp6Py9wXtMRB 9uYOGOGZh/ic62f7TuFA3aSfOC45D5627D0vbHBQiD9XKK4+D9I1NeVWDjjE R/cLjjvOw83Uv5qSPHCQHFVtyS6fB2/duzNbQnEo7LSf0fZZAJMprrddYTg4 SIhJHYleALmH3uEl13DYk/w5LPHuAjA2H+Q7GYvDxcuDs/2tC2Day5BOSMXB 5ImdU5PmL1CIFTfjK8ZBWdIvg3vbIqwdDBdgPsFhSWudb/e+RWCxhynFz3BI HuOjVB5fhDSHVy7HK3C4N2AeeSxmEdZVbP+9XoPDDgll1a/cS9DV//7gGYTD 2uVH63qKS/AmU35NsR4HFe+WS7bHl8B/jYhvaMbBzWZ4rTVpCXo6U3N5qDjU 2t9VTVBchndxC+eodBzoek5cWlbLkGngtq8Aw+GB2ek15ZBlsChSrzzaR/Y3 yMe6+20ZlP7MChUdxOGjxaGuf9eWgVtozWhoGIeZZ1XB7horUHWl/XP0BA60 NL4mevYKZKkdSLWZxkF/u/SQNWUFLg09sJPHcTBShh8jQqtgeYd3x8wM+T+M hgyLbFdB2dKvv24Oh8o9RbsPPlgF3g20wrQFHPQ+haR54qsw8NrA9+wSDuvb H5zPtFmDGt8CDc1VHNpj9tLrOtbgjtzWn+vrpOU3tr1YXYf/AdO31Nw= "]]}, Annotation[#, "Charting`Private`Tag$2601644#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkns8lHkDxSWJ2tTQeqVG65It0sWGiTiSLRFFum2LskorIRQ2SptaL2oi RSq5tLRJU68SmfYnTaubpGfEZFxmRlPEPOlCZJ5nvX+cz/nj/HM+33NMgyP9 dmhqaGhEjOn/bvi/oNNLfqAw+CiibshFSQb7Rfxaewqq3YKpdQmvyb2A2Bi7 ZRRmfGfoyVN3k4wG801XllPY5hhlEVnUTTY5U46zV1GonvKNuXRjNzEr/90k ew2FqL31cUnTu0n/LFtNXT8KsiU5vLhWBanKkL1O2kQhVsvuwdxCBfEOdy0P DabgLa069maZghhJ6ZPSUAq92Xe/ED0FkXtdjPXdQ+HF+JU/VMjlJN6acXKK p/DB0nZeE19OLvXWPNY7QSHe/aORdFhGInLWmoedGuvHfeCT1SIjDu6KAw9y Kbwh/+jPrJSRxxcm2SQWUwgRpzWG7JORgXVb+D1VFNbXBHglfe0iLrcH14sU FBjz+LYQky6iE5J2dXYPBbci85IorS7yYprJhAMqCuFJVsJzzZ1kR9iPlYuH KTgu2zajI6qTZHCzjS7qibGszDnpY3kHkRxZ3J6wVAwl58AeD5d2UrTogV2z ixjXo4uUXP12Et6++cQidzGE2zOmr1VKiYZDMt74iCGt5une4UuJZe+zQv8Q MR7KjLdEKttI7LrwnQv5Ymj99Sk2s/AV0eOW0t3dYiR6yjim7q3EdeORdkWP GLka9LEAs1YSzQ96IleJYZTf61ar0UpejjMq7foiRormT9qDd1tIvjI1UPpN M96u6+jjOLaQBdfDGqglzXB1ywrL5L0k3isWlNWlNMN9YPfHI15ikvHrrZ0F Fi/x1rhhuaTyORl0LevedagFIrvgV22n7pNYW9FNw/utcG309Lg7KCCd10Tp Taav4Fp9av+LtvP4GiY+N++3NhRURN/oOSuE9fKJzM4aKUYND+XdelaPVUWm oTf+04HNtZOdeW3PEccNMpP93AmzOKO+J+ubMb9vw+QW7y6c0PkqysqRwGDq ex3RSBd658VI0md2QIucE5ifl6EsdXWNhCvD7iU1El0vOSpdfoklaxUoWx1c 8PegHLUmEd+HRLzG53fG05RnFLi6NKavfPsb3Fq/any2ezeEtamTHsb34JDH 0Ys3ld3gVP+m7Rz6Dqbtnq3FR1/jIScrh1nVD0eHlOwZtkqsGIxL1/ah8bNJ 4/A4SomYHSXa/jnv8fnxcXnU4TcYMTEQ3c8bQK5WYKyfxVvozuIsDsr4AIOO W0WaorcoswpcyMR/xISkw/5L9/bA6vsBbmPCJ2j8FSiQ6/fi8xzelhlhnxGd JziuX9eLhixp+r3IQdy1TtXhRLzDa8sOP0H0EDie0fN/1+vD4mhJk2rnF0ht nlMJwj7UGzZ/MIgdxvV8WHQH9iMybU6x274RBAjsOVymH2TaYPKjhK9IPlp4 WHpFhfrq7ww1L41iStxEz+3lKqS2bd+fenkUebv26CsFKmRZ5SVNKx9FhdfS YvqmCit5/qfnVI6O/bxJpElUSK9fcjDk4Si88jV05lEqZG4ttXXsH4Xh7aAT +76q8IcgsC2Gp0bx5QcbR9QqPNOc5urkrMaiPOvZhzRoODyVLZjgpsbqpCFB 6gQasVWRVIGXGokr+E3nptLgLz4b/CVQDXnj39PrzGlYH1yksD2mRvlb7jm9 NTT8FCuTnVrUSL1wdFvH2C4XwuU+uu1qhPj1z7nmS+PkQuqxVK7GLKHwuvcm GvamIQGnVWqk8bf+kxFM4/GA5WpfbQa77M8OTEqgYfHwThzXgYH7O43brw7Q aMu6YrXVmcHsgl2JVw7SYPdXiApXMHipy5vomUKj5p69wnMdgx/bX876L59G mkHCcsMwBmYp0z0mltC4szrce+AiA4aXOKXlMo373zbf6y9hIOlXvCgpo5H1 h4gdKWdwclNFwMobNHySrbZ4CRmwVn4xR4U05tqfetIlYfCqs5q3gdA4bvXu YLKMQWW2KWNRN5ar0nMdexhEMO9TRfU0hjykmROGGUib+PnjKRq7Wp5mOhqz qDo29AvVTCNQMP/eezMW2U5B84pbx3hzPmyQWLPw+nPBTbcOGk8TS/s3u7Cw /OlMgr6Mxrd01HlmFQvNqYyLXEHDP937xSdfFnfiGx4d7hnjV9GxXieUxRkb O75vHw3fFJthz2gWe+Xn/U1pGmZPW+1tDrJYk6NlPDBAY2bbU0tJGou5a8I7 az/RyDV99Cs/l4XWOPGlk0M0ki0uNwpLWXTdcgrbNkKjkJOeYVfNQhhWvHCR mkZt1KeT3EYWObMnf2ZZGte2X9X+k2XxL2jzphg= "]]}, Annotation[#, "Charting`Private`Tag$2601691#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4VV0XAHBTGRNRVKRQESJJA1lEIUOZe8vQi1SSIhlChFCGKzRIhiLJ TEjIpkSvJLrXnbohZLz3HCTz8J3vr/P8nrOfffZeZ6291w7Xa9YXeLi4uDZz c3H9/7mpwuWh1n4yhBvszKi2HEIznGZSozYZZhI8dp9fN4yanPxuHNAlg8Gl eH5q2DCK/6rgUGBABrHFjdR7ncPI4Sj5iJwxGXiFG0XXbhhB8sUR21LNyVDb /DbM/OQI4sho8ghak2HRRELicMgIqon/9TvUgQztrQqXvV6PIAsv/eKLrmSQ KiuTvjE/gqRZeBLrIhkeIYUDwbKjqN8sy8/qKhlOtzdKXYRRFKiyoqMTSAZv krUA7+1RZJheLFcWSoYg+7R6mfRRJCrsxLszkgxjX4RfTFePotyxujbRRDIk hwY9Pjs+irwfn1LwTCFDXrgw72veMXTQaCD40xMy1Em0hyhsHUNtGUJqITlk uF/XLsYyHkOTp/8hjdaQ4YL/3fi3aWOodpk9bNRAhtQo3SBy0RiKKgjXz/5I huu87hF+aAxJ8+VP2neQQeTA8h+XgTGk93bGpnmADO5p9mY3d40jAff7RXKj ZDDnVmM7aI+j72Lb1gRjZLh9O79++Pg4uuB5vHrfPBmc9rTdlHEfR/GyqdJZ ohR4sRPhqhnjiBG572fQYQowNv8ynuFloxcanw5061GgwGf/fwPr2cjr55lE DSMKVEbeX/diKxtxHQyHYUsK5BVvkX+kyUa7xjqe27pTQG/b5HyoMxv5nfby UCdRoOKsdZB6KRvpLa823E+lwAcv78LCGjbiL0iRGkqjQFOEoILABzZ6ylv3 +VkuBfw2uce5U9ioqVpQRaiWAohNJtXPspGo7Ct8cJAClgqXd7sd5iB9+8if A6MU2DPksS1Hn4N8SS5f+jEKRLgpN3QYcxCVW/pV3xwF+gSrdMfsOChzKNaZ JdINfZnXMo74cNDeMs+vZK1u0M5IoYXmctD50RN13w93w7SJ68mnBRyULK/w ukuvG06ErcnIK+OgmdQfUd9MusHftr2GVM9BDUHmul8cu8H+NcvjNZmDLAz3 Fn6I6obDr+i9CqscdDtEKK3pXjfsObNWyY4PQ2VVQ9GNid1gnfZSLUgQQ5JK Wa4NT7qhOshQ4KkEhlgiYltqi4j1bTo9dWw3hryok7HllG5okdojecocQ/GX qzyyFanQ4rG/RTYRQ2P6xbHCe6jQVrte7UAyhoylXxb4q1NhB91Gy+ARhnha UzHzI1Q4o+tCOpiJoSBFP//5U1S4KfvXPLsYQx69mtHWwVQ43xGpFtCGoebq Pfnvw6nAJZlgMvgVQ/KJ8m1K0VRoz0wNN+7C0E/dDaKrSVQwNulKm6BhyPbp 5MPCPCo0bn6b+W0QQwZ2ZS/5vlOhXNrhUtcShjJV81uv0aign0CEaBVDS7zZ o0wWFQYN5GMDeXBUU0FSKx+mgrdiwNwSP472il2rclqmwt5UuY9ZG3Ak80Xt U7USDURtToqc3YWjWy92Du/YSwOegICzxUo4ogXJCibsp0GO/Gfq3B4cJSut s3DTo4GfVX1CoDqOBKPZlPW2NOg9O28vcwhHM/qFg5fCaJBcsW1g1RhH9bnj 6QFRNNCIVHSoN8VRhICqTfQ9GgSGVWb5muFItLOoKSeFeB/D3dVuiaNdLiWZ Pa9okDTPyD5khyP2B8yOU0QDrnLvvGZ7HFXsUl+3VE4DTdHDH0+ewZEeVhq8 uZ4GmcPrXI+fw5F9aPkZ205iPnH7dX/PE/v7NbnerZsGh45SXlq74qjfSLPV h0l8XzkjucANR94ibw6QBmlw3XNjtKkHjqLTKze0zdFA4PmjdKMrOKp697ad +Nnwctw55IAfER/ZuUjLXXQQIpHTdG7iSP/OIR0nFTqIjV8J0PXHUbvJu9e3 DtBh2qs0bm8gjgZptdFVpsR4pfdNlGAcFegsHm22pINl6cK98hAcXc/S+fvd hg5a6xWO3QvF0ZJHvduEEx2SU3jTlMNwJDnzXl/Flw6HtItC90bgiPnPyuzh ADo4ilu4DhDOfq9XahJCjBeSckuJxJHqXSTrEU2HYzwWHYNROJoaWaX4xdHB XF7NMPoukQ/m+vGRSXRQ/bttVD4aR0aSTQvZT+lQsfEpyyIGR0KB3BWlWcT6 cG0tFuHOHwaXG3LpsKlPpOtCLI4ccz7QfpTQob1PGPO8hyN5fl7S2Bs6tBWz A4YIj3ganpivoUOmjf9Zp/s48tNsrtz0kZj/2S3do3E48tDanv3gMx1KIp1o JYTPaIfEiXTQwZWBiW+Nx5HOES1XHgYdzIKdQwcIq+omWYT20KExtPYdJOBo mx770NwAHeTfNRY9IsxzLHc9htHhZIHGV61EHE0bci1emqbDC9/CNSGEfx93 HBqYp8PDiSmhBsJU45ou51U6TG291r9A+LOp5HsGHwN69gU/0CThqNbser6t EAMkey7IXiBcZNGe8m09A/LdfOKSCWeeUgo7uZEBzGZyXy1hklWU56ctDAgb q5bvIRxu02env50BJW2H7JcI+9rpGtTtZEB94pXwjUk4cnd4oqqtwgB6jV2e MmH7f6alyjUY8MJkqv0QYZNzp3lVtRlQ06sxf4zwYaciLE+HAZt//1U3IbzH RYC5w4AB0flb/P9vmX/dPz07wQBq1NVOQ8Kibo1lUuYM2MVTYXiEMNcFmWfJ VgzQm82mqBCe8giMWefAgMCCkRhpwgOXKL6xjgywmlJ15SJM8dRw5nVlgJEd /6UBYv0tXvGmty8y4Igyf2YT4RrvEa15LwYkVpQLpBMuuG603c+XAX7HIoqu EX7mmy2MBzBA1G4sAQgn+C3NXA5lwJ8Sq3Ihwrf9z/QPRjBA/9amrV1E/K8H Vn51iWXAGbeEb8mEXW+JvWMmMECkipt8irBtiFeuXQoDrvtVKQsQPhiuGGyW yQDG46pfnsT/V4oI92jJYcD3jDNmGwlviWJZGbxmgNj9Eek6In9WYlKVDlYy IOTs1ok5It8m7k1IVLxjQDWtg/sB4V9x5quqiAHcWUkxioSbSXxU+TYG2JJ4 V48S+Vv94HxTxjciH9wj5j4S+Z2fUl8k3c0Ac8HCm8cJxz32ixTtY4B4mK6Q DlEf1lmDGgt/if0Jha6ZJOrN6Lm+zM1FIp4DWXdtCB/IecY/wcUEZTnlV+VE fUq/su35LcyEDcENrPNE/faWNMd17WACx+aBX1w4UX8cPrbmbia4SteOdxDn QaPqcfNUVSZ0+oQYixLOLvgk4nCQCWu5Yt6FE+eHa15LAsucCZfcvHq1bhHr +b0WO2rNBKPuE2SHIBwZKhpbZjkw4U0NqdmfOJ8UX7SKuroywdb5YmE+cX4N ZXwmDQcwob35C4vlS9QLS2DCJJQJ0ZJ9on0+OGrdanq6IIIJp9pb7HqvE/FI +0/sagITtPfaq333xpHnw7YHUy+YUNLsZnXPE0ec+PaU5a9MuHHqxxf4F0c9 X0SmnclMqEg0S1lDnM8dQha2jXQmSLN8nrY646gk9qtk5AATcu2mfPQdifyI 6ngoMM+EajGjuDUORH0Hdz6WUPwBrOWpqF7i/lj0pKQr3/oB/z0QLezXJPJF 2+nB3rAf4OUZMma1j6hf7qHo/VE/IJ50amcDcV85P5n1OZr4A/Kz6lISVHHU 9GmLidWLH5C+9sAdAeL+i9n+73Rg2w/gDSDzXJfGkQSVY/55Cwsesv49LrZI 9AvP/Y99lWNBEaYyvWOeuM+9Vg9+V2QBqya8Q2MWQ/684gqsvSyI3q0rfOIP hhgaWvP4MRaUOuS1WY5jKCvu1kupKywYTtKLZTIxpGLAv+JRR7z/JkUZeEv0 LwWFu+mNLIgQjDD1qsKQluRpK9MWFpyIufp0sgJDusNPclW6WNCn/4AyRfQX lgl7zCaGWNAivv77txwM+TIsngRt+AnV3pN7/hL9yzufVM34yz/h5a2mshlX on95seNiuVQPKHvrN2zmIeZ/IrqrRaYHNN9P/NxM9FPbExcHmTt6INOfFSm1 xEELQd2ufKo9oCvy6oLwDAcVW91zdtDvgYPayY+7RzlIgnvSbvlSD1TtSbgw 3clBvS6NRqa1PfC88dbC+QwOCpB1kf/l2Avv1B3dZdU5SJVtJ0yz6IMjl2/E XdRlI4n1EwLNC32wopnpqbx+HPGh9FKFZ7+g4rr54CB5FF3RqmMImvUDRTnd ZsPZEVRo6prdMNMP3luy1XU/DqG/41vEhh4NwJT+7kps929UZWPMm2o0CJTP MiBuPIDCTO5mVQ4NwnYWB5O68Avt+HmSnnP3N4zUsLJ/M3rQkYNRqZs1h6Cy OW9z40kmctz2bZ6bPAQiypH/3P/Qjf62JfRfvzMMSxKeR9VjOtETPmc/a8UR KHPTovvktSCJnqoXPM0jsN3kgkdy5lu0JvSO7WGfUeCKOCf6dV8AcL12Lu3f MAadlhYShjdqwfdpacKGD2NwPf1he0XjF3ivEisg7j0OMuf8X7WkdIP4SV/V CFE2mNQtPx879xNYap3koHo29PBcFE8yG4CyTFAcdOaA5q8/VyIlRsCpVFtc doUD2uJ/Y7BzHKg+OyfayYXBcw8lozA/DoiurRWJ5MVA5FjailwCBxodjwqM CmCg38MaftDAAXkho9VKCQy+lvrMHJHHYMjdimOujMH04anmBjZGxNnrvxBb DCxk1W63GE9Ayye1VnUHDLw22mRo2E2AnA/e3P8PBvY5r7e8dJ2AzlbfRhMX DBrnbJOKQydA82bQW0lPDM4fe7QdKidg9lv0y6IwDCwndFaDFSYh/O7zO6wC DDyqlsnqwlOwLoD/5L/FGLTMVe2U3TwFTy9d3TBUisHotDK2afcUvDE7nINX YmB+VPSqhuEUDIl3NfMgDEquWYqsBk+BWSaXgDIZg7OCrbdUJ6Zg01uXxJuL GNy3NX/PM/gHcvI/2S8sE+PXnmrt/PMHNJ6qyIVx4WCQv82gnHcaTENnS2PX 4PBm3ZrUAoVpCDEkdaWvx6GPahoT7T4N/d8aJD8o4JCrmxGvNDYNxSOy6aLm ONB5KIaIfwZiM+6e77HEYXxniWGdzAy4W3N2llgR4wU0eXv3zYBMfX2ZhQMO FUOfkp47zsB90rmWeFcc2oQ+96hXzsAl7bRJoSAc8siVPJFes2A0zvWWGYzD 61zS9+ioWZDLvhRScBuHjRs6W1ufzQJV8BD/ySgcLGVUtgt2zMLxn1SZeyQc xB2bd3zePwfyUZIm/Hk4fLd35SoTnYeVQyHraPk4XF2bZfJJZR4YnIHveYU4 WMxk1JuZzkOSwxunE+U4MCPrD368Ow+re6xv3K3H4T6fvKzsmgVg9r47ZIdw eHX6keqtXQtQnbpjRfEDDitXLz2JMVkA75WJ2OZWHCaSbuv9TlwAVhcpk5eM g+NNt+jLuxahJnrWjdyNw4nHS1SeU4uQquOinEPHYSbgd9do4CKYvdxbeawH hxb9ubFDXYuw6+yjoA2/cFi16uHn5loCnvUrev0DOPBlvJr6obEEtYFf/7sz isM+t3vs3U+X4JHaAZIVGwdF1bd8CeQl8Ol/ZrsDx0HSoidQUHwZzB/zbZmc xIFkOSJXZrMMSuZevY3TxPd1vrzdlbEMfNyU3KRZHJI2N4ntn1iGviodz/ML OHSKeIzrWq9AvWeOusYyDqYiCpyDXSvwWE747+oqEV+exarS5VX4H7PwaFA= "]]}, Annotation[#, "Charting`Private`Tag$2601691#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjns41PkCh10PIYW21CFNVC6RZKOoj0olsd3YPCVZlVu13VRsSkLPpMIp 3Yg6SYWEmG7kW7KbFMJvhhiMMc3KZb7p5FLM73faP97n/et9npcXtG/jLjUV FZV9P/jHx/nLW4yPMVBfZ3LD8dxHMtmzyN80hoFPnga3QSIjkiF3QWQ8g4Pq 0QP8vTKSm9U8njnD4I/jBufdp8hIxPo9wfOSGQQfrRUV1naRpUquPDGVgfGo 2ZOrSV1EK/fiFPk1Bro2W3X2+nSRNPXSquu3GZi4eR+I6JOSnYW/8EZyGEx/ kDOg91xK7LZJozYVMKhaYKNQS5GSl4/G2eg8YzDLXP61yEVKEndkxO0iDFw1 Iwv7jaTEZ+J88YvKH724KeBUfyfpDvM7f7SOwdAHvWyr251E3/QulckYTKuL 0cw16SRuv8a1dX1i4L++YibDSsjB5O1vpQoGy5P6J6V0SohI1fiuZITBd6eL vtfuSUimnB8g1hMi0KElc6arhNgVhtc0OgphL1oVKupuJ4GfVpU2LBJC0lP9 PvFpO7kw0zynfqkQfdm6i18mtpOh1Nb4Og8h3l3cV3HTrp2UR3m5vvUXwu8d nVF8rI14r7DLq4gXouKOMtfUUkxOROtce3lGCJUJDn7WXCspFMhPv0gSotnP 1Cde1EomWd4IKr8qxPt/V2sZn24lYr2J057dF0LPtqv1THcL2SMa4BcxQojd a/TmPf1AzoUJgm9aiODxQeby9WQT6XHL5+tai9C8JzNM1b+JrDbOzj0yTwRR wtyFrk5NRO11qsJrsQiuynw/J4WIRFlEHPm2ToRaoX6rbYCIBHc4nN54TAQT nd6zJ1YKyTLfwmyNBhECnIxG7to2kiG3PFloTBPs43IsHqbVkgiHypLJr5qh Z6UqLb71knQ8qDxbz2tBythRr/sat8loOJNu9UcrAlcMCkarc2CzTIsNLhXD a92XVJfTL7D6Fi+kaEo74jV9+0YGqnHUdPvMTv8O2A3HWByf3YC5fb66Td4S JI3NqjG+KoLRhM/ald8lkO4qMbrs0QoNkl5gfr0TwR0C3oGkDux2LP0wbq0U Li8zGzt1pchbE3SzfEiKQL/aJZdcZBjsnTZRfrkLh95V/evNEjkEm1arp7rL EL1vcJv1zm7EeCTcKJHLYF3q/GxeYA94bZ7NWQkfcc5sks9D7z4sdopPneog R+AXTcHE3xTwn173TbVRDpOa3SLJ7M8YrD4v3R/7N4pN578vsB/AVY2AiI0W 3QgxcT4yw/ILjNoFt9Qqu7E+U+unndP+B83jsT6LDnxCnlesuwfvK1RyAgqk hj1Ys/6nBtcpgziYVnDesKIHgro5943Mh/Dchq9t8HsvHA978mznDsPA8+Dc U/p90Gz5T5fv7BGIbd83RpX14UT23eI5i7+hMBMWsoB+7A3d8uDLsu/YVrDQ wJTtR1PPPctT3qM4mfDfWHGuAmn7/fRDTo5h/FEtz9/yFVCvimydmDCGtNC9 hvICBWb02u4pOzOG4rWLsmiJAm4pZgrji2OQG9RXqhEF/so4a9idPYa1mSra Vo0KSJiO+bK3Y5j8eHvS4VEFtlRuLkqYqkTWvT9//a5UYHeqV2/EdCXs02zM YlQoHsr5rcHmSqw5PlzA16Q4JJits8lWiegVyfXpEyhe+bxq916mhLSufFKF OcUi84c7msOUyO82Tdf3orALWduT/1wJfkZCYPsvFM7anv6Fr5TYubF/1oMN FLq1N9qfvFHCpKys0HszRUqtdpFYqERi8ta/zgVRdNZr/hyhUCJ04bUBnSiK ywuWVOnzWLj3qjxuOUZRvD+E8OewMLsZGp17gmLs7pxFenYsROOctTzjKZZV CFh7FxYr20QmZ5IpvG6401FfFjPjJ3lo3aHwCJpfrjzPgnWOHt90j+LCpwfR Ky6x+NDf1XAnj6Jgh7t1+nUWKZuLt60qoshQ0TaIz2PBWW88lFBGkX8/bPPW ahYtHU+dfQlFhEVo9LoGFo9SeaxFxY9/60zh9hYWv7Of+ZWvKarvX3Jt62Eh rk/OVG+k6HdyjLw4nsOT08M7GoUU3Rk7zYsmc0h12W6V1UxRN7LqjsYMDmuz 7UqWt1M8Nl6jHbyAw+wtl6MMOymubPVMjVvCQW0Cu1TaRaEMSrIaXs3hWWTN m9hPFG0fxdemBnC4bPtz8oY+ikf1cv/PYRwOSK/78CjF68jarANHOHhd0Zg2 MEARHTU3vDqOg6XXno4XXyksJBbPcYGDhipzO2WYoszTrmPlLQ4SgUt44HcK 1ZTSRFLCoSw8a569kqLq8LP5Q285XDHTHeQ4CubQkppMjsP/AWcWqxY= "]]}, Annotation[#, "Charting`Private`Tag$2601738#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8Fe0XAHBbuyUlSWRJpULyai9HUtlfJEpClKQIed+yRdkrKalsIUtJ iYqS5KFs8ZJ017nXlSXu5c4Msq+/+f01n+9nPjPPec5zzplRc7tse05MRERk raiIyP+vobFGmEIwDWIemVckEL+RvNkbJ+UwGsgpNx59ntiLfo0Zl16LpMFr ruKSZdO9qCCHJUWLo8HZNwtr+Uf6UID1JY9tCTS4vjb2X7moPmQwO195K4kG vrwd+l/L+9Ciggere1NoAEmVGpH9fajVfpPvwUwahKwMm2tbxUep4p8a0nNp 4F9brJNzgI/OFlupTbygwU1uMDfNjY90TncFHiuigWLNyJsdUXxU/X7J1qXl NDg3XrI3u4aPbrk/iTiHaGDnWbB/uJOP7JZv51bV0KBn0Vuyb5aP+BdOxF/9 TgOJ7gkHGz0BklZ+Tvb00EBfO0q8K0GADO0j2rsF1H0Hqd94jgD5J7g0dRE0 CJCf+OLxQYAYogrPf03QoJzm+egrV4AyemOduZJ0SP+pe3hCrR+1qpyz4MjS 4chGTqqRXj8SO3lwLyZP3U+Mid9m1I88miZXsVTpsPAO31PsTD/SKfZq/qlP B0xWs3M4tR+5Co58attDh0Fn0+pP+f0oUX39ix8GdKiruuJv9L4fjSVxIr+b 0KGxYQWR2NqPKgMt9jc50aGrPVImRGwAWR7Sefklkg6fFyx7M+w0gK6HLE2p jqPDxM+WqJDzA6i4tDe66i4dfk0URvL8BpCcZqZbZTIduOl9CtuiBxBXcrli +Ss6NPCyuEqFA+gSYyj2DY0OieGRvbyRAZQh0/JvMZsOPiInjG1nB1CrScHZ Ih61/obX6woWCJH+JzfDQj4dVC+MX1kiL0QzmT/H82eo+DOlWpJ2CNGdC6Ue WRoM8KwcKTTyFaJ+w8LYZVsYUHleaqLpqhAdVcgr+HcbA55YtUgfCBMisfok wmIvA3bGfDdnxQtRoEbAv5N/M6B+b/X47Ash8ujQi7YNZgD3XnS5HU+Iat5v yf8czoBsi13N0T1CpH5XvVEzmgFOwsuKz/qFqH3/Cun5ewx4yom7UjgmRHap Qw9fPmNASIS1Vq8Ujg4eL86TaGOATdkrnb/24ChDK7/+MpN6Pndv6HEDHM2I ZwkwLgMGI4seex7CUdnbBO03fQzoN7sqOGOJI53ll0tPzzJgbMMtdp4rjpSa tGvfazJhxjKl5lEkjoKyN/Sp6TAh3M0qgx2LI2ag8pL4v5gQ53Pgi0w8jhI1 pSzdDZjAD/ztbf8QR0uihTQZOyb8ybWjW+fhaMzwZY9nGBP0ezZJyn3FUUXu QNrVSCY4VlZqO9fh6OZirWPRcUwoS13SlvENR9Ktr6pzHjDBf7Lpj3grjja6 vM7gPWdCfk1ttQsXR/ahb07YtTLBh7G80vsPFW/nkIw7nQljWxgDmmM46jLW q/fDmODB/VrJmcCRj+S7HQk9THi9O+2B5hyOotNKVjROUO/bsPOF62IClX78 8B+oseBlcqGtw1oCBSlPRFhtZIGCY3rbA2UCGd7Yve/0VhZkH4pob1Ah0H8m H18E7WBBWdeqeiUNAvUwy6NLTVnwdkze2FuLQAX7pg/UWLGg3LH+6mUdAvlm 7httO8aCAv7IYy9dAs14VLgPnmaB7rknTeb6BJIb+2y41Z8Fr5Pmdn/aRyDs 5Nz4nqssuKQYvjT6AIGyPhsUmYSwIOtAjKoZEEgrCil7RFPxqD09VGlEIGO5 6qmsVBZoEhduOJgSKECvpkT+KwuOGKQcsz9OIA991az7DSzYsrUqlGlPoBM7 Q25LtrBAq3llgM0JAu3bq+8mxmbBg0/dg9tOEUjMKFeGIFjg8dHgeLIrgUYO iUx7jlDxl2PLOs8Q6Pdhp97uSRacqUzoUncnUIOp3Ge2BBs0r/SsTjxHoASb SK9aRTbY5Gi+UfEiUPixX8cNVdlgf9bumt5FAvkf33/w0wY2LL3V/9LgEoHs T46sfqPLhowxv5BDPgRSOnO2Nv0IG4ThS8vn/Qgk7V5VvNqCDdGN7lyeP4FE zimlJ9qwwaqkqfjDFQJ1e9L8Y53YkKfXdM/+Hyr/vsaqAf5suIPlyZhdI1C6 f9Yy8iob6uZ35Y1Tjg+YGbsQyga6U4pWZiB1PtdKml1i2dDGXr6NG0Qgt6Dl H7F4NshdX/3RL5hAdiGXco8/YIPddIutaAiBdoVrBJtnsMH7hEObdCiBNG+G e9TlsMHoRnDdHcqKkVybgy/Y4Jg93itxnUBzMUmau0rYUBPU2tBNeTBucOXb j2zIlhc+NgsjUOdti3ktxAaV8fbXLynXJEgw1BvZwKXNtziFE+j9fdfqJ9/Z IB/j9vsV5fwHFa8U6GzgnxF1Hqec+lAh+QHGBqzdHPbfINDtxwER0r/Y8E3p aUIw5ZCUVp+432wQWW99vJSyT5qWo8QAGxJlkh8JKLs+iT0cNsiGrGP5JxVu Esg2s0d3apQNkfys3IOUjZ8aKv0zTe0nKjH0HOUdOemLBkUwOPTzen8E5Y15 E8NeCzEYyToxlE5Z4bkd7/cyDBxXSSQXU176ovibqywG1p32PZWUZwokSzny GKT7KnDrKROvPLPslTCoWSMW1US543XN7R9qGDy1RD3fKLfiEkK9TRhETklp f6VcpXXYIkkLA8ncN+c/UC6+GPVqdDsGjd86U55RziqolXTYhYFv/reGe5Tv CRZ4l+3HwONM7OQ/lG9oHmleY4RBvdr27faU/c9HawcfxeCtSVPAdspuz+ri uRYYSMfbflv0/3z8XkgcsMUgW/3DX2wqX4c0jlplOmDwkNdelkdZ3z3mtchp DFxPZZ32pqyRXS/t5oaBqlLzRl3Kcp2LLn89j0FI0aY1BHVeC1RNvmt4Y/D5 h+ee55R7nzQk9F2l8uVmIb+MMoO7eNAklNqv41ZuKVUP9WtNrQtuYjC0w6vr FOX8lG/LveMx0KqT+ZJC1VMya4lfSyIGlXFncrdTjltt9mNbMgbLbgtYNVQ9 ej1svD+cjcGrhoVm7VT9OtKWDh/Lx4DhsSfBjbL5SnPb0kIMgqF9VzdV71r3 m1ZcK8PgOrKoYVD9gN/578FsMwbP1z05EEP1D69JcsT5JwaPdnuv4F8lUMtS S7sqFnV+mT4XjSm/jm2Wi+jGgM+t+khS/egb2fJw8SQGqb6jf8lS/er6VXrs whyVj2W8R1ZUP9uI/W3fJM6BfWvS0mOoftcL/y5/V5oDjmzLTOFlav4Etz5e qcGBClXpvpvUvOgpXz4RsJkDQWtN655Q84Q+aX2CocOB9QekzpVQ8+b91R8K KXs44PVOlKR5EujalbaUdX9zQAz/70H3WQJNe9HSNgdxYDb7psReJ6q/d56+ rxPGAcNTCW4bqfn3SrQ3+q9IDtSMpuyVcSSQc/K434G7HFiu/8CN4UCg6lpF E5tsDnDiohh7jxEoRvXMyLVGDpgPVbo7U/P314BAEPqdWv+e2s2VJgTa/cG/ 4yaNA5JtewxrjxCo3zKy8Q6PA2MHvXLXGRPIMvh5VtYwB447SJm9MCDQSgZu 0aDIhcNKu/kqfxHo0tN/jZpVuJCUe0wiazs1Hy7N72rT4IJQ5U+nEvU9+Vdc dj1XhwupWKlAUptAbF39SdKIC0/uObjVbSRQ5u2gvNUXufAtn5mXtYZAWw8u mvP4xIWT/kKj+RkcFRe83MSq4kLI+QjT4Skc6ctZ25jWcaEhQ6qmk/p+7u9L zt36gwvhVgeV34/gyCp+i/lgLxfkdY6m6Atx5M+2TA5c0Q539mf+cwvD0Ue/ JL07F9rB788d8eclODLg7Haa9WmHvUcMzLXe4uiLcXuUT0A7zJBMo9dFOGpc vZFtHdYO+4eDTPILcMT9/CFs1cN20NLo4wRk4UhkKee/jKp20OCS8X63cXQ0 W+38m9U8uG9SQIq7UPEmS2+sU+IBsWu7xTEnHKnene7B1HgwZjNOZp7E0VQg 3U1Ciwf+vypkt9vhqNAmztnBkAcdS3a265niaKXo0PFZTx5E/D0eXaqHow6X KmPTch48KWT6VIrj6Kqyi3qnUwfUjj4zlMsQIjdrXXvumQ4Qu6yl0ZIqRFYR oreYHh3wZfpobtRjIdooyBlq9u0A6/A9ofg9IaKV8KvKIzvA7fHjZ1kRQqRr 4e+S9KoD/FmJ1x56ChE/KCr96EwHJLXaDX/WFSIt4fFlTMtfUPFUSVGnfACt lBlcXDP1C1omLg3epv63JVBa0fr0TuhdF7FW20uALup/Yi8x7wJh4fkPaVN9 6KWpW1blWBcYudyqvH+pF40OKC7vfdQNb0tYp26zelDpsaPiScY94HnYM+zT XBcKM4nKLOntgYUtiVteq3citXYzVk7Ub3CSEqx/6sJDe3dFJq3R66XqwdGF xNjIad33SdGfvaB5uGKi4BQdjTbGd/ne6IOJoztVDDe3omQJ5wBbDT78uhhn LjlVi1bySrPFavgQLoi+ssHtPVoQesNuj58ARFK0f+x5GAkiL5yLulb0g+HI zKhD4CfwTy2KX/GlH1TDRy9k7PwPPm+NXSzrMwB8/fLqew10kDXz17opLYTF M/mNKrfbgavd+jOwQgiPUvlPt7t2Q3EGaPQ446Bu9Ao5b+DD6aKdsspzOJxX qA0VuYjDe8cJ6VYRAhj671iREThILyyXjBAnIEYzVWdNOg5VTgcWCxYTkBDR aOzfTL1nqfF8yUoCvA6xIgS6BPSetcEtNhNgZaoutmSaAB/FS99C7AjYNXzr fZTVINTVatdvcyCg87eMu+DUIKj4kTVdJwnowrQvOlwYhNZ6/yoTFwKkvIMI 28hB0Psn8IOcFwF1ttsCG8sHYfx7dN6rMAIyGrSr2jYPQXjU0xvcAur5aV+e ouwwSF1dZHamkIB4Kfo3UZVhSPX0XtFbREDqoLXmqNYwvDPfk0OWUG5SaxA1 HYZe2R81YogA11uKwe9vDIN5hsjizT8JuKZKmBWNDoP8B5e7/1D7uK9cVqYg +AM5+bX2U7ME7BNgdR0Tf0A3datKmAgJibEVBh8Xj4Bp6HhR7AISFAx0gnM1 RyDkUMKPNBkS4pKm/rhfGIGu75VyX9aTkLl67dsmYgQK+cpp0hYknFB/Edy3 bAxin0S58qxIiDWzjMFUx+CsLb7htQ0JZsd2GI/uGAOliopiSweSmr8tmXmu Y3Ar4VTdHTcS1E/0NUqXjYHnzpShpYEkEAU2++V8x8F4QOQDFkzC1nVT41Kx 46CS5RlScJ0EX8PmauOscWAs2b3ILJKEVQyLIL8f43C4naEUl0DC25/b5hbs mgD1SDmTRc9I6JrZ2pUoOwlzu0OkmPkkGH9sVk7XmQQ23t327CUJ2u4mJ+Qt JuGew7vTR96QsOPe1PeA2EmY32J7JaqChEZvfaXURVOAdXzcfRyR4OxCnhdo TsH7JLU5jS8kbLZLaeCbTYHP3GBsTT0Jo0wN7833p4D7IyFD/CcJd0Y3mF7W nIay6HH3n3QSKtIifo1bT0PSPpfNOSwSnhc6JzcHTYN5nk6JEY+EzwFBlhNt 07DR8VHgik4SOhWaVQtFZ0BMZs6gq5uEBZyCnit6M1B+rfnbDQEJLJf9Z5PS ZuCR9o4EGyEJOq0nqjtpM+DXlW6nRpIw3P642njFLFg8llAcGiJhu9dA3Xe7 WdC0uNRRNUKtN17A2ZQxCxKitNx74ySs+RLzVHZoFn6V7vNynSJht1/3rWHb OajwytmmO0vC+bJAk7Ifc/BYZdno/DwJc8M73xXPzsP/AI2/tw0= "]]}, Annotation[#, "Charting`Private`Tag$2601738#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVU3041XcfPkklNZWsLSMPqUmorKhs3Vot5iW9KduKpGQqtExZ5aXhEaIt ZEhGZKTjPRV9i2M2Uuyc88PZcZwXL+ng5510zvk95/njc33+uO/Pfd3XfV8f 4xOBB05psFisAPX8f0dpdfpU1vGReeEzj92TPYQyP0YqGvj4vPQLpdS7h2id 3FZc3sRHnBuv7+6gjGy/82FG2Ws+6sISKy7dlpGz1GhsKY8Pq7LFR3L2yUjW klchJZ18lIhOLTmnKyOtjoUn2SI+Xs5NSv5UICWbn56wL37DR1BmuVD0o5T4 TuywejDEx6XYfTI7RylJs/zEoGiMj728KoMBAylR3OVOFyj4mL3os0jSLCFW neze+3MoaC+0kLPzJOS4bgI3fz6FpRHhn7VESAgnajf73lIKEw1f8vy2S0jC 95W+2aYUKmpezQZUi8lb++LYReYUPOTFa21ui4nDx3mFIRsoSOxi9B+HiIlG Y/Kwy3YKfbwxcY2tmISaBoe8c6NQVvXb6JrIbuLbbR1z4DIFYZOCY/qqi3Cq zAtqIyhU29w6I03vIiaJJk1mMZQ6v5I6W78u0vW5rg5zk8Iqo+mVv2h2kUPp oylF+Wp+flad3y4h2elekqf5DwUbaVjICF9AsiwKGgPbKezbEFg29oeAKOZm DwiEFDJfaNU5hwlIdVmSZWk/BbM0zd9nPhUQq6WBlceUFB7M2DsyYZ3EoNmy ocqsHXquY0Mrt3eQKfuiHr/wdtwzMdPIEfBJzT15xsWodti7yCUF1XxyTcvi YMz1dlzZdDqFl8onOq0PXuTeasfiFVuWph3kk7VeD7NE99X8NetPkVc8cvhq qceh1nbU1CpknzRzSeXjRy9h3AHrb57ZaXW2kWBrTsWK+g5sNtc2dAx6Sbof cuLbjAVIu7ZhTFZaQ9778zLW/fQvnrsNyf/KTSTrdy5Q+T4VgjWdINpYVQqH HOPTpR+J4KfXnC+T1OOioZeJ5Gg3xLXXm0hlCywG3Re1u4rxU9uWt7XhXCxf MqLFmRUjTSpbbO3dAU2SwV6dKYGTQ+vGqddCnNn8tHOhsxReWS/SG5+LUfT1 iexnU1Jgf0/CHQ0ZJuX6S/tSZXiRtXpOol4vKg86zE3e3YN7lU2Kcad+hDtG 363o60HevMMthu4DMO5y6siN7oXB1mbzLjc5tttGJa+07sOWPaXdmueHcHTV 63dzuH04pSgqM/anMdl0QxoU2Y9Yd1acf8MI0jQ9gw+YvkFLrbOEWzeK5aLK HA3OG1xu7+0VPBnDvKuRh7adH8CAymGKbhwH6w9PtlT3LV4+P/ff+/UT+CGd fUO37i0KdqTpN/AnUbs+VmtZgBzCcW6mUe8Uljn9YHFNZxAJRVbyXb3TEFq2 ckNrBuEwI2rlMTMoyYJpj+cQvom67+iiM4tjbJtlhqohGD/OeTr+n/eIiP49 Ulg4jMcx/eUpRxX44OICJ+/iYTTMX27l461Aut853T72MAo8o2OtfRUod96W S1cMwyk+YJIKVKBvWRtHgwyr/3XkiO3PCjhnsbTWcYeR6fev/LtCBVY88kr8 8f0w/G/tPfv9rAK5BQ2HZ5XDGB30IhGMAhvT1xuFs2hQmxZOpmsq8fXVaXbs PBoDUXY2HTpKXNmV1JaxhIavYaDPxdVKSF8/06tbTePXMA+DQ65KFL8xzNBx oVEgCtd/n6tE7J3o46K9NKZD9KKsC5U4eWBozcP9NLxvBHkHlShhUFNT4nqE Rs6EyypWrRJxSd/9mXCCxqhRVEowpYSfzW+j2qE0dpu7eoq1VdgtZz0SXKax 6PSTqdRlKhhl+10pDKPxpGmi+MjHKlALty5wiqLh+Kdnx8waFb7qogyuJ6n1 9gyIOTtVMInSc1yQTyPY0I49clkF1dYrH7QX0KiWjZhG/KxC55Dsn/wiGoVD nBKTeBVuHik/tqeUhijl7/l56Sow5gcuRNfQuJNwbpY8UUHQ/XirO6ExZJu0 eGG9ClXJxirTOhox2LQ6qFmFANVILKeRhluc/ftsoQrCtqSsuVwaXzXzsgQs BtUx0z5cvvr+xdlvj2szSLbzWpfbofY7lXHSSI+Bc55VxZciGmahu7g+ZgzW fpsaqiuhsf+j+f3vrBloLFHtkMpoeF4ruCH/gsGTSy1/Rw6o+4kbP7PKnUGq 5Zak/YM0Us5EG8Z5MzgvzTxkTNMwrT/sWhTAwOW2pv7oKI1NqXnC0isMzFzO dj+foPFS50Pn/ngGmnN4925O03hWzvJozGQgrrTzPz5LwzkHHrtKGNT4527Y qFTj9doXmv5icNto0STD0DgstIpPYxj8D6wjwns= "]]}, Annotation[#, "Charting`Private`Tag$2601785#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV13k8VF8bAHAk2UKoJIWSylJ+IiI9kspSYWwRWZM2CYVUJElREpWyTbZK lpKlREdFogUx251BiWHM3Blbdnrv+9f9fD/3LPee8zzPuVfd9yzpmIiQkJCU sJDQ/69x4gy/yo8UsB9Pkz6ztx9RtTxRRSPh0L6kNz/7kbj/jpLXLRS4MnbM imrGRiZZyzPKWymgVFbwl5rARqepIwmvOinQcEs4/3ojG2XL/rjwkkGBw13e 8vem2ajNqsi/rJsCbPa3myUbB5BIbDyp9A9h3cj9Xg4DyOCdr3nJIAU6o3xq s8MHUMD4ri3FOAVk2vu2KWYMoHTd1SovRinweSb0kHHtAJrL6Zh8Nkf079p8 s2dqAG1hlPU/FabCCmi50q04iLzlkzoKxajw+GXx79tbB1FDnGVZvhwVvri/ VkrwGURJJyoDyBpUGKoZK8ypGURD5iUJUlpU2P7prwNqG0T7lQqKLmylguzd NVR19iASaUrjHzChwr13Qn/6ZDgoUiPswrQdFSRS8hcS3TiIOnsq3d+ZCj9C 9CSmT3KQQYdfTas7FdYmVcHfKA4avuq4UHCMCkc9uCrlmRwU0KMfT4qiwpyw vk4jg4MaqrSe1cVQIfuBuLnRIAetu7OuZVM8FeTMrqh4THBQ1055mX93qcAx vOjXsmwIOT0euf+ikAoXJHYvXNs7hHY7vywQ/UmFbcs6N1jnDqFsnWdNZ2lU KH04MyNSMoTmFpE5GIsKNthvsbvVQ+hNebLuqwEqSMZeIG/6NoS2yJ2t9Jyn wl0r6f6QsSGk8lW3sWoTDWKXfKbsMuWii7kbBtS30CDCZK1JwR4uokWukbi9 jQbHPz21wG256N6mpQf9dtFgUM/ovYYHF0nE8zplnWjgaaeVtTuKiybMX/QF RhP3hcNCCyq4qDafmxEeRwOVxbd0x2u4KFZcxzH+Jg2ULw/ZbP3ARTJtxR/y Umlg5azy59R3LtL0Ks3ufkqDcqu0GLF+LnK5/OqwUxsNpF9G7JqV4yGV3yOy fhQaYN2GnnoreKjXUr/pHEYDNbPkHufVPBQk/dowuY8G1GbEDNnAQ/EZFfIt UzRwIa2XnDHmocq31d9AnQ5nduuk+nvy0MU1U9cOadKhxQ8rq/ThIfOrxqae 2nT4GZrCnT7GQ9+s3j6/aEiH+hX+9h5BPNRHq4mvtKaD/J7+R0lXeEhxos5c O4QO5XWtHtWZPIS5LUzuCKdD3JT9qDWZh8h1u8qsLtFh0Cw3qz2Ph3SuozUB 8XS40zCSU1/EQ5aKH2bIj+mwlj2npvaGh8L0GypWfKLDyY6ryjNtPBRgoEZO +UKHB9vvTm3s5KHD2y8lSv+gAzVN64MNjYdMTQx8RRh0+FtUGXG2i4dELPJl +Xw6KOWUGhlzeGh8j9Bs4DgdNP8bXC/H46H+vR7sP9N0mF6iUNfF56Ev1op1 DFEG8B702bmP81CyQ9zJRmUGqN/juDAXeCjG8ZezuRoD5NNbpf2EcRTivHP3 uw0MyN7EWPV7EY5c3MZXvtJjQMNprYR6cRyp+Pg3Zu5jAFmv6puMPI6Kgi3V wkIYcDRsrH5qHY4yQ8hSgnAGSJuR7vA1cHQ7bG7ixGUG3DzD/s7UxFFwRMV3 rwQGKI6i35laODKK0YiyzWbAKdPHIu/+w9Gm2JiAz3kMEOvIkQjahiPlOJbD 7ucMWPcnZlrJEEcLN9I2GVUwoLvJ/auLMY4akkWp61oY4G/y7lXoLhxVpXh/ yGplgPn1/VEDgKNnqbXFShQGvH8glu64G0eJD8OuyfxiwHpV0XlFSxyRcvr0 Zv4y4Ie5X7OZNY4sn5irnJ9lAL1JKfa8DY4M8zKXDAthsKy2Hi+wxZHSU6fu fikM6HbjkiMHcdRT2pDYro5Bv1Pc3f9IOGrDRXn6GzGYU1t6TdsRR/U6ew+k 6WAQeHsXWuuEI3JRo7SrEQYhtRamI844ustZfObNTgxEmtXutLng6Oqmfd9X WWAgO/ve/rkrjnwLP99mHcBA/80am/1uxPP2i/HNSBhouEulSrvjaI/G/kM5 rkR7XcXgr4Q1cptkfH0xqN3xUmK7B47YWV+SB8IxUFNdXYyO4ojKEh+2uozB 4935N0heOGpabW1fFIuBYNF20x7Czx41y525jUFVdqEN2xtH6XSJcz/uYbCl O6DK2wdHN1fatG9NxyByx9gqCuGT91tSRnMxUBLfM/DCF0funZKjjs8wCJo0 8Zbxw5Gtgi2psgQDu4xAwUnCO0mJ5SteYxBbrp/5gbBOylf5iDcYNODcM/L+ RHy1SYUy6ojxTDtOeRKWlj3QYfKJGE9WMSuX8NzBpG2ZXzCYKv0s3ksYT/qW Ov8dg//ChitXH8NR91fp8aMdxPjL417YEf4hedCpno5BMcdn+DLh99a3K9S7 ifm0DicWEi5N+K547Q8G+4zXX2smnN209HzfIAZJtDPdbMLJYocoe/kYnAlt z1sgHLP3juHTMQzi3akMuQAinuN+3BefJvZ3bix+DWHvTzITJxYweL8h5ZUG YQcRO5evi5hgbSrqrUnYYndylY4EE6ihqenrCOvHtK64I8OEncvO+6wivA7J hgsUmKCV3lovSVhhwY5mv4oJhktqaieI+UXN7hqVr2VCjfTOI12Ex6PaHipo MGHQ9FDue8J9NXJTYZuZQDfHHj4mTJm2P0zdwoRPCu92nyP82TjljZEBE6y0 6wosCFeFtys92kG0L8luliFcWLUscmYXE2xyZV9TiPV9+NeBccSSCU9Vy48/ JBwR+vPRWjsmFF1stZIiHFguPxPtxIT4SJuYOmI/3UZI7r/dmJCXNZn+//02 OduhnO/PhIkO12uVRHxolSpELT5J+HGulyNhZdyRGXCWCZilnT6PiKfZk50Z my8S/Q3CWmUIO233TNkSzQSx8WdvyUQ8Fguz47fFMaGeNUXaQvho+uQ5sztM qGCtyNtJxO+HRmUrh1wm1P3N2KTpSYyfkmfm8pQJYYk7Zu8T+RDiobPtSDET OntOZQoT1hgzW3usigkywiVu34j8uaHmMx7RwoTkw9Ub9Q7j6BeXw7ncSqxH vg3tCpGPxtUhPbGdTChd6A1pJvJ16GBcS1I3E8T32VwiEfl8MOopmTzKBIWq szsMiHqgQMUPfFFmgfrJYYcdRP04/eSCxXdVFijnfDliRdSXhtP/jH5qsKBQ WPmGI1F/Lixatp61hQWkr9mHju7HEUPPYFpgwQJdjZWTe/fgKCfxYsHKUyw4 Ip1k7W2CoymXRRkqwSx44HilU38HjuzXJd1VP8+CtWtWvRQm6qPI26wo7WgW BCk4+KcR9fMYu94BUlkwXd4vfUcPR9q7lywEvGOBaeBkaecGHL0serGRXs8C rNpkjR1Rvw0U7R2sP7MgbsPSwEaivu8cSM/XbmdBxKmenAJVHB26rWU7zGZB oIQf32AVsb6Mg+mR8l3gLV6XnyKFo7fn0vSTTnTB84FGc1ech3YxjT3mg7rg Y65bL4nLQx8tu64HhXVBn0LbWxviPGtZqcmwj+4CrNRMcWs/D7HqqqOX3++C TNul71pYPCQkyfyWXd8FYU++/Lb7ykP7c9WPv1rZDcejXfc9KeAhg3QZzc8q 3fDrOdWQRJzHandm+zD1bkgbd18u9ISHZiIpvqI63WAR2l1EIs7zEoebR13N u8HUX9+j4x4PKQiPOM8HdoNXElvfMpqHerzqLa1ruoG7x1KS78xD4Wu81v32 6IF/T0NlS2e4yNdez4Xl0wNv7BXOV05y0aFrwrdoAT2QoGFlWjNOfO9w8ka+ B/fAz+PJ+Ds+F3VWDNbXxPXA4RWKYuReLtI7EOKVVtwDQyV6bG4zFw1evJ65 f64HgsNICo8ecJEOz1mKdvAXFDaHnLi4iYsUZIfFG2Z+QW7kp2xMaQiJooyy 9Zm/oX7aQVbj7yA6ZfCOIWHbC+U/3d09UgbQC2tf8vuJXsjX8LY7vJSN/nKV 5dgP/sDCCTH321f7UKXj/kVpln3AVsVIL8p6UbTV9ZwKdh9ouU8rmWG/kHqX DT3vej/oFb7rj8a6kIlRXNoqfTYELhO65e/DQB5rW6eFO9hgME3hCfE60d+W 273BVwfAmJzWhcW3onTRo2EkjUEItMut94VGpNBdmSvSMAjBK2KX90pVosWX rzrtOMeBmP3GwxybOyD0/GhZr/wQCL2/te9QWi2EPC67Lf9xCOoPFMp3Vn6D Ou0E8WVBXNiZapgRQfwnLLMJ0YmV4UEDx3J+pq4LWLptHZG1PLCYbm8+fuEP vMwGjb6jOEi6h927bzwInmXbl61ZwKH3esszwygcqtynZNqE+HD2Un5RcSoO MmI10tcW8SHLSTR/WzEO9R5m4hxxPgwHpU+c68JhnaTlvwoFwu+rY1+b84Ht 74Af2MyHW+kNPQGSAghSPt18yYkPcgkfKZ+dh+Fzo27TVlc+UH+1Ja/3GwbV c4KGXjc+aM5X5d4KHoa2ppB6Ky8+SB/X3BaROAz65yOrFU/yYW2sWWXHh2GY bI0vKI7mQ8mv0855eiMQc/3JVVYRHy6rXggLXzkKS8OX2PiU8OHnYkqU64ZR eBx4Rp5dxgfxjSdG92wbhde2O/IEFXywWXGjysJuFNjL2htEEB98a7AY5o1R sM0WEt/cwQe1+PYXGbOjsKLa6875WT6YkBWnk/ljkPes0WVmng/+IZ7X7BbG QO+xtmq0kACUbwwFq8uMg/XlybKExQJwH/8WN687Dpf2JLdnyAqg+FqkW3bQ OPS2vlf8uF4AnSt3HWsaG4eSwTUZMgcEoDrWNXFUbgISsq57dx8SgH7qeR+r DRPgT8I3lDoIIDu194ybyQSo1Na+POgqAKeNScYT/hNwK/nI5yRfAchvlztv VDsBgdsfjUhGEvOZOHlyQifBkitUjUUJiOffvIeeOAmq5MBLRVcE4OcBa0Xz J4EqYbzEJk4AyecnipQpk7C3i6pyM1kAukrasVdNpmBdnKLVkkIBpCx5lVWs OA0LxpeW0p4JoNnTmf3sv2lg4H9+Fr4QgJ0teX653TTcdX3tue+VALIK51Pd EqfhnxYp9HqtAHqCF9z3Sc4A1vPW2BkJQOVVMCteewaq0tQXND4KILFNQzP8 4AwELQwnNDQJwDVnDzk9dQZY7cnZizoEcPoR+VSG1iy8iZ/066AIYGdErJS8 4yykmXptzqMLYCycY0S5NAu2BVsqLLoFkJO0lELvnAVN9weR8r+J9x/QG45Y NAcisgu7ev8IgMMxkNEymIOaiO/NVzkC4Ls8Z6zOmoMHuobJDjwBOEdqv7Wj zsG53kwndYEAoiNO+z5UmIcDD0WVR0YE0Kha/1bUZR42HTjdUz8ugICbD8R3 5syDqHBn/t1JAdReqn4hNDoPvypNT3rPCMCnipxR6bgAtSfzturNC4Cskbbe 4ucCPFSV+vvvHzG/mN6nV/P/4H8Pqfde "]]}, Annotation[#, "Charting`Private`Tag$2601785#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjnk8lAkDxzXLxxWWlJJZjWsJZbeD8uanQ7mVbIdcy65KUUlbvBQy0mle WTZEzty0kWjylIi2NjTyDDlmxjRrxTxqRcfMM9v7x/fz/fP7ZYUe8f2ZoaSk dOgL//eg8CEvSINEtbGW+6lNYsI1a9fSAi0SLZnJJtybY0RppPcGjQUkVgU9 33hjxRjBcNkafGIxibtamsyKfhERYuSUJGCSEDcEL426LCJa/1lT7GFKIiM/ vlbPS0QYPbXtuGNJwruA6dWrJyLiisz/Yq0gITqYdc5gWEiQsUz1y6tIhM15 zEoqhUSGpZZXmBOJPBOb9HxvITGtUD7yfDOJULvg3bWmQsKblHHWuZGIMK0Z ivskINRTJ/t0/EjcXH+qJKZaQIQHimfj9n75+cag3uecgGhfPbRYEkTigd/g PqcwAZE49jSAe5BE+bLXhe+YAmLWuUp84AwJ/dJRI/91owS35E3uyRQSfEvX 6XlKo0Syms3O1PMkHJiwL+0cIbR7qh8WXyURM2F1qWTvCGERXJs/cpPE0Vf6 +g7nholdCbf2+PV86XWLY1XmDRGNzU3PwOKjkhPpZO0+QMQxP5z1tuAjxtq8 IJs1QDgnOTgGWvPhWlPwxOMjn3jm2lwRt4aPacN685QKPiEmW1Ib3fhIXPjw DxUtPqE/e9/ZOpoPtcKRy6qj/UTM9+0Nix7xYem6XMPpZh8RvnrZjf918aG/ x4XnktxH7Fkbf3H+cz5+i3jScSqwj3BcvzqUMcBHql35wkD9PoKxqURHKuVj Wc1GE80UHpG+IyWiw3AAv9+S/OdQxAui8uiWZTHRA9heG/Yy3qeHGK1tv9jL GoTN1HfClU+7iM8RfblWca/wQGdJ19UPjYT1RlU6/N4QEqN+crzTfgLbilj7 bxmMQJCwL3iJ+C5OMoNNhAGjsGvYlszlPYbN5A+apJcA7U22Qje3HizQmVZr /yRAwBXnvDM/voQykVtnmifEu4nM15AP4NDqewPqHiJkik1XXBgcQZVb6I3W WRH8Dt/LuNImxPs3hl9Lssagsa8oZt3rMTTu3PZV5hYx5itsUtg2EpxxZRc0 SMToqIhfnuwyDtawO7+Y/Rrftqm1aHtPYL19SuaS7yXgqV9/kZIwiYBvuj/O 40kQ0qp5/+RZKd7/cVl0NOkv2NckvuvdM43flINifM3G8dzCyCUg4C0WjDQW MdrHEdEV9Yub/zuoJCT5rTv2N5pPfmipj/wHShVBdSK9CYyFZs5tPTKD6Jy6 y3ptEyg0BPPxufe4b52mphv1Br6BikOx12eh6x5tk6w9iUaPbnZN8RyGbHt4 sdxJeJb59uh2fEB9PszEQVNQsW/K3jb4EYF1a3WZ9BQexu4cNpj5hER2YdJQ pRQ/azE2nHeQQeukqvuPNVLoPfOpjNsgQ86BSD1JnRQrZ6v0ozbJcNtjXTHV IIX8ouVHf08ZJLq97QxCiqDfdRu8QmTwyFdSs+JJ0cRizualybCoKfjKic9S bK+fYCx9JUNxeceuT3IpOEuXNPsLZLDLsTY+o0RhzCzg9PXXMrglzNWlqVCo YKvst5mWIX5zem+uDoW+6P7Fx1TkEHW36reZUhj+7sX+Ijs5asaZudqeFLL9 1PqML8iRdp0dMuJNwVNlnHOJI8dPvlPmtTso7Kv5xVwpWw4jLrfeazeFDe8z UmXFclxI3/f4UiiFa7ZDET6tchxYe+2tRiyFTm86Nn1Gji1vlJoG/0vh0l3p 4rOf5TC+cSC+8jSFuanq40kMGv3qDqruKRTehSf1FnxNw2W43+h8OoW2DOWc KFsaJin6rqplFOjc7snOgzRoh3gtspxCt+wwp/AYjYGpsRdlVRSsdB9Fp8fS 4Oy+Hbj1FoWhM2W21edpKJb7HmdzKfTLDHrnV9EYHG12+IGgING7tqvqNo07 mSzarI3Cr5pHbx/k0oiip9PaOyno5Fxd5POcxlBvev5XPApFnaWntWdo3E2d C+O9pJDVZjgpk9PIdAy2KuZT6HqrZmappoBH6YqGTSMU6myuyLczFbDwz4rV E1JIdd3tG2KpAEOHdhKNUbA9Xv20Z5UCLaf+fJL0N4VNFRvvLvRUIMt2TfqO SQr3ORaOBnsVOCbK82NRFO6sfrF1IFwBz2xlw7dvKZTZnyq7ckIBS8/Dow9m KLCcX/my2Qooz+sr4cxRkH4bftU5WwFBo2NEyCcKk/7GkQ+qFOBGFK+0k1Pg rB+eudahQLax5nuFgkL55kfIUCjwL+nVffc= "]]}, Annotation[#, "Charting`Private`Tag$2601832#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8Vc0bAHAhW1GWNpEsoUhCpc1TUlHImhZ7yxtJ0VXZsiTJmtdSUSJL vSgSiTASJaWU5W7nXku6uOe413Ij++/8/jqf7+fMzJlnzjzPjKrnZbtzwkJC QpKLhIT+/2T0vm93laKCeZfEMt/4fmSefnztE2kqtLQqWx9e/xvlX7LeKyVP hdApHncg4TcSPnjILWA1Fc6ejr/iyfiN3JVMInqUqbB+1afrKqs5qG58W+5R dSpEiQ0kzlhykNKXzU1vtMnxvbShJpiDgp5uGFDVo4LpvS1/x/M5iBqoLJlg SIW4gCTVnK8c9K+2tNUZEyokbg4qYMsOoJEF0cvfDlChS504c3jrALKmzt7b aUEFB1alxJj1AJKMJjqWOVAh865zZN/tAXTepX8i6CQVgr4IJwY9GUCNRthq jisVfCOpj+cqB1D4ry/ONV5UII7+fKfNGUAT+4r6L4RRwXLw9WelnYOoJg/P vB5FhUNHClkTRwZRpISuffRdKpg1VUrYOQ8imbbi97kpVND1+3Hpeegg0nR7 mcV+RvY/v/bfkHeDiGjgOQ4XUyEcbTiwtGUQlWlukZ59RYVpmmiuOW0QmfBK gtfUUMFb3fJL5/ggOh766oRDGxXm5a62PtAaQkq9o8vOdFLBRHaT9oDhEOoz M/jkx6DCU+dxiykYQr5LX29L6qeCjYj+bj+nIRSdWS7X8pdc//z2tl+3hlBF VeVXUKVB2p+xxdodQyhI+e8ta00aFLq+6A5kDaF9Eca7XXRooCHlmlfAGUJf zav+C9pGg7ac1Iepf4dQP7U6usKCBsUpK1roilykMFG7T8efBr5hWbSik1zE ODk/ufM6DVp878hKenBRdq1JiXkIDWLtk50sL3CR7m2kfD6aBtoUObE717jI TOH9dHYGDRQj0W96MhdRDBrLV36gAQPq2baNXHTeaH12cjPp4nOiDS1cdGJ7 SNzSbzSYFTTprf3BRbt3GXkK02kQ+tdAMZbFRcKmect4PBo4/w71OvuHi5Js o7ybFOlgr/Hwjb0qjsLtexz3rafD/PHN1BBNHPk77tn/bgMd5Hp6RVJ1cHT8 pGDVK3069Hsq3EzYhiMlj7NNjw7RIcp8Lvq1OY4Kr5itp/jTIdIldmLmIo4e +Wcv4V+nA4/fE7H+Co4SKLMTXqF0sIrx8d1OwdGVG+WtbjF0CCLert4RgqMd 4RrBR7Po0Dt1yeReHI4ak0S71FroIHFbLOjDMxy9SXZ///g7HZo1dpcsL8LR 85Sa4tWddHgU4v3Y9iWO4u5Tbsn00GFzr7paSTmO7J7060//ocN5zRRFrB5H 3S8b436oMkDSTDpgJRVHbcOihIEWA8yl3Duz6Tiq1z1omarLAJv4cAlVDEfZ hU1LnXYw4MGSg/tEenHkWfAxAbNkQKHHeVtbLjn+bzHeXjsGKJV5FsQTODqg cdj6iRMD7O/su17Hw5HG008ynp4M6K/6xVg8jiPO4+akgesMeJ7RWLNhBkdd mMSIeSgDKEvExVbN4ejTWgubwkgGvEhe5r4wT8b38PPySwkMaPmSE1chTCDv tJbksacM4OX3pVdJEmg4/mvKXCsD0mJ1/9FbSSD2l6UC13YGCLQ8TzxYRaBv UlYO9TQGNKxh2k+vJtDLmFaFW78YkLo9JbtgLYGuRH1Lk5gi2+uUiT9dTyD3 DzITXvMM0CsQNLSqEshW+NjxLyJM0Dn1YXRUjUAG4d9XJsowwXv7Bab6BgIJ gtvuy2swQU0/Z8uWjQTqr17+l7KRCe6nTekqmwjUOWVzokuP7C+h4yipQ6A3 13+sfriTCVf2uI981CVQwRvZwGkTJnCiMjZkbibQ/T+29NNmTNi7dOrEBT0C 3bj68+G6Y0woOxTVP7yFQBfK5KbDHJgQghJtC/QJdHLU7lTvSSYgtSCO01YC 7brcrph3lgliB61LCwwItOmlfPBibyZZn1dOHTAkkOKwPfP8ZSbEz4cnM0jP eHdkbgxiQsm3Euq4EYEctrsk64UxobpLRNx3G4GKF3GiDaOY4D9wM6qPtOuD Sb+9iUyoW1p3p3o7gSrPhP9jmsIEVoyx0rodBFq+RdLl8APyfdBhpRDS75sU zW2fMuGh/etgLWPy+8m5e48/I+f3V2uIQtrfWdfwdDETLFU82DWkv2hVaLu/ YsJGz92eC6Q1xveuO/eGXG9+ePCenQQKrfso7/2OXJ+2IX0K6a67xyQv1zPB VEfpbgFpPUfa/NUmMr7o4th20nfWewhutDBBXmLdnhnSPfjQUOh3Jhyq6MtV 3kUg40r/7sgOJpi9Ot28i3Ry5EzHHToTRILoJXakuVZRLfFsJthpPHI/R/rA Gun65F9MeJ/e3uNP+lF/WkX6IBMefXiyPZi0oGRdUeYwEyJ7l1+4Sdoq+Fl2 9hgT/HK1gkNIFxzST8+fZILn5c6AANLzslVxhbNk/KmzLl6knVj7I0oWYfD9 5pWdJ0iXPm+5Vi6GgfXwH2lT0pIUe5+qJRgMqB3o1STtCZhH3XIMEtcIVYmR rpY65/RhBQYnXn/M6CXjle8atmxWxKCbqxZfSdon55ppqwoGXcIp/8aQbvRZ 2PFTA4Py8juvHUgrG8dspm7E4IPrWcFa0tdEZNUxPQy0t4adYpP/4/u3h6t7 DTFwO6WKZ5LWzlCT4Rhj0Ghwp8iBNF3faIpvisGQhk1bJfn/DWZreILDGPjA sIkn6dhPB/unLDHoc24YFSe9x9Xpu4gTBjV7RYwPkvspbWNPo4QzBluazTsx cr/xBBeqpT0wSNUParlM+klcUP6qixhM+nd+v0Pu17/HRTKVrmCg9l/o0FLS Nmrx91QDMIiqlfFNIPe3cNXjYJ0wDLI+XG4JJ/PhHKfeFlIwCCgPPLaVzJ+6 VxaHzR5goLBVeN+/ZH6tDP25x+IxBka+PohH5l+zfL+W/TMMhOPUQjLI/NTZ Lz5//h0G9tM5Z2rJ/C4tLNKi1WOwnv/yDZfMfyMFG1uLjxiIJXT+lSO9Z+BB ns4PDPwpv10dtAhknbDp6AgHA+/efJNMdQL9nPhG8SAwYF+9dD+brC9O7lez fo5ioFK8WDyHrD/uhjWj5bMYiD7/b2+KCpkvdKsHgXIsEJz2ittL1q8J07H3 3FUsyCt4qaykSKDg4nT8tDILPr0oxf+Q9S4qrNvERJsFDWmZlplkfUzf4Pdb 2IQF1uveZr6QJVCVX6pBvBcL8p/qKwvECGTCNHae82VBn7SCd8xiAjWYsW77 UlgwVqu3bbUogVpWadJtwliwvsPPcdMiAmG1lWEr0ljgILRbew1Zz4WkmF+z 6llQlmhmpUHW/8NPVf95tYoNKvlHGyV+4MjogYzmRyU20BTKFbd9x9H6xJl+ hiobYil7+lxacTQd2OkpqssGoTTXb3mfcfTC9q6r0z42eO374iLRgCP5RaOO cxfYsOaWqad2GXmeudWbWVSz4XOSM4WZhKOvji9EXBEbJIoZthkJOHp7NKPB v5ENz5OA40iep//uoOx79I0NjWk3d3+IxtHBZdp7+H1s2HzGtfVaKI6K6pIM 05Z0AzPumv4BbxxdV3ZT63XuBnp8j0fofvL8s9E/jnl0gyeuMP/LBEfWtxbF Us93Q94C49nhPTjSHModbb3SDbuaJTaJ7cBRR/lgfXVUN2x6x5Z118WRvqW/ W2pxNzTbJpTErMTRYNDtR4dnu2HQrLf0zSB5/yEcl1CteoCdU170JYqL3jpY olibHhD7c87SOIKLDtSaXjWx7wHdEcWfOaFcdCpxCzP/RA/4iFYkXyTvS3f1 JYsoZ3pAIm7XYsY/XMSh1ByRC+wBvdrAdvUj5H1rTi3WKq8HOho1nK4u5SL5 ZSMSjdM9IGM+FWISM4REUWaJ+qNeMKqseeh2dRBdNHpHlzzaB5orIvr2Kg+g IgvP7LqJPhCT4IhX5P1Gf3DF5Zz0X1CcHRx0QK0fVdgfFkk164fBSb6c3ck+ FGZ++0k5px+UYg4pH4vrQaqsI7Tc278BK1VprLVgoV07olLXGHBAwznAP5RF Q87rvk8taudAc//x1yJXO9CfloS+KxED0HwpD8UWfkMPRF0pdhqDED6WlFAe 0Ijk2RVPhRsHQWiVu0t4xmu0ODTCYaffEAhdCeVYeKSC0H+uJX1yXND38rFd 3lQL/hklCXINXDC+atxVYdIKtToxErK+OBjnSW1/ZtIFskf8dSNlCNBY0KrK ErAA29zWHlhDQF9f74t9ib+gNAs0+l2HQYki8De0GgSXku2yyvPDUHTZ8+D9 +GF4c+qvTJsQDzi7soiFvGGQEateekuEB/Lz9Xdu1A5DvfNeiSEJHmioN8ll 8IZBTcpsoVyeB21P23tzbMl+Z22HLTfyIJsSs9CjyAdfRZ/PIQ48KI3Y2ZPg MgIfmzZ/2uLEA5uju9R/eY+Aih+/se8kD1pCtWtMb4xA2yf/enM3HhQerDmm mjICBgGBlQrePKClb3zt+nkEJr9H5xeH8eBteuj10R2jEH47JwIr5IHPWqaw xboxkL4ufsTjBQ88TFbnqeqOQcaFS3KcEh5cFPcqFds1Bq+P7szll/OgOP90 yoTjGHBkfzQKIx5Ilf4575c4BkezhCQ2tvPg7HvrD4JF47Cy0i0xYIYH/c+D nS8KxiH3edPx6TkeJJh6damJCkA/Q0clTIgPGpFlxYS8ACxCJ0tiFpNO6gh5 ayiAkANJPzKX8cHG/7qfMUUAfd/rFBrU+XBtZ+uudVMCeDGonCljyQe9ZrN5 rRUTEPP4tjvbmg+pb+6uEN80AWfthje8tOVDkLdWnTRMgFJNTamVEx9G3vIT 0rwmIDbp9Md4Tz5sNRyfKqqfgAvbH45KBZLteVEOojcmwQwXqmQEk/MxEn48 kDQJKtkXQgpv8uGBolK9+PNJ6JI0Fj8SxYecCNW7YvRJOMjqUrqbxIfla3R9 9pj8BbUoBXPxAj5UfXtRO79qCuaNQ6Spz/ngfENHc9hoCujDv34WFPFhnQ/a aGk3BfecXrscesUHdYP+Mf/EKVjYZHf1dg0fah5d1lGXngZGd5WxI+KDa7V/ h73eNLxJVZ3XaOBD9of/xg1tpsF3fiSm8RM5fniqlFH6NGA/krJE2vng3/hw nqc7A2+jJ8+0d/JhkV+Fm53jDKTudtuYS+PD09Dxl4vCZuBovl65KZsPZWdS fJhdM6B5Kj1QrpcPnuEPj59bPAvCy+ZN+n7xgSmkcHBh2yxU32j9HDHEB+m4 8CUoaxbSN29LsiX4gEVbZVGps+DX98hBlc+HZf3iQsIr5sDyvqji6CgfOAGR icec5kDb0qe7XsCHNo3sxjPZcyC6qCPv3iQf3Kb25wqNz0FPxW5v92my/S3N kGiHeajxzt2iP0fOv8zgfefPebivsuTPwgK5Xu1enLK5BfgfudnOWg== "]]}, Annotation[#, "Charting`Private`Tag$2601832#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkns41PkCh93aaiOZ2i3WJYXNNqSOSBefOESoE9FlVUpWSFaOE4qoxzgq dmrXqpDktmJrtFGd0/DFQSW5jNtvxrjM0GgKP1qX0sxvtvPH53mf99/3+ZgG /ujzg4aamtqpz/s/R6UPWnR8KLRtr0y7HzNEIm9vmRbspVDn+cj8J90hYqcZ /7vkAAVxlfY3G69IiSKYf3ziMAUby/eXnTZISV2TwkAVSMGsQWpbLZeQVOtt Ap0QCrv3c5KKSiVk988JlwxPUSic2nFCfFpCls1UbV8bRWGGrOjibZMQ0UFm 1iHms9u5yVk6EpJX5chzj6fQEjJ9z3tgkLA5xCg4hcKjHN0yzuVB4rKsdi4v i8JR141/6LwZIF/Gqv/Bu02BKvZ1eJI/QNp6nUKrCykE8dKm3QMGyKGCup7e +xT4fxqcj+7rJ9Eb6iu+/h8F35yyjNi3fSTYdmXetecU2D5fNYvK+sgBu/gr 2i0Ukta0TIRH9JEtm20DNYQUZNvSZjtmxETDuVB3fJxC+YGzkTMsMeF6J4c1 GAhh96GLVxchIkl7B/22rxTC/U5z8+RWEYny2+r01FyIjO5Hh4oXici+g1PL H9gIcfXuwmdXSoXE8FhQQ84OIUYTH1S/HKNIaaTLyugoISZaf3ymTOkhOVF5 i+gYIZ5rN9SW+feQ9GjFTGiCEFK3E3dLbHpIZGzFq4BUIfi3ejpSeruJfZLZ Oc9cIfIDUrJybbtJPVere1WTEOw7Teym951k4H79lXZTEQyMI8/syRSQtjGt 0Q3fihB7s9L5bpSA1LBdvTLYIgyrG5uv+YeA5JU2aO+3F6HTTV746wIBCSxu TBd7iTD6kmo1TmgnslvPuSMxIkQ/2XsmMryNjKU1/6J8JcLvD4MfC2qbyaew zmzLs70o/N66UWjUQNY6zWeCn4qhdqlK84sfyolbvumJB8v7kSTiDitZ+Ygx ClglOTSA1Dsn7+y2IGCP+i3q2TWIEM/E3HO9L7BUd2JB/dwgxEudjp91EUCL ZPNW50iQfPKi5UVWD07aPhUu9JTC15w10W4iRtnOwLzqGSlC5XljbmcHMf3O YIkscwg1lwJKpPelqNzrppnhMoxvN914sXrBayS6c25XyIbBdRL61NmMwLTP gyrgvIa+I7+rwU2OzfbJGfobZFhstH6neco7HDJu/ajeIUMJh9EIvTmG6aZ0 aeSFERzIjR5M7KJxQ+tItI/ZG0SJAsxvTk1gaX9lvkb9G/gbTsl/+TCJeQkX fB1Oy7Foud9kFOtPqN09wpOy3mL9v2v7vjCYQlQWL51V9xYedu5X5zlMo2pt 6gK9iHfIi4hgsf1moOcRxb64eBS1FiFBKcdmIbZq64jjj8IqxT6h89IHlOfC bPjIGBY6l1iJiz7iMM9Oz4gZQ9p7afVI4xySOHcuiEvHwTsqSN+6TAGdmPke x+6NY8XmJ5t99BXICjnFkvHG4X37snqYsQIPPR0K6IpxpPt+nLm9RgGZXnu9 BhkHNWftaLFNAc9ctQWWHeNwLNqTnR+swNePA37616dxDL20WJP5VIGCkoZ9 c8pxJC7R+ZmpUcAma61JohqNdbKH9mGNCuxMmOWlzqMh5syFerYrEP93bnu2 Lg2B1GjEbkQBaWv1srrVNMK/8QsiS5W498Yoe7EXDc0sWeGKSCVSb3GO9u+m 0cq8WvH0jBJBPmPm971pZGo0Pw9KUMKQzy/ftZ9GnMGGGy2XlbjM9W9MC6SR o+mfrF6sRIjdzckv42ioNjdb6/cr4fJO7bHoHA2Nv7k6e7xWwiQvJL70PI0w tWBeyqgS3Qs3zfdIpnFx3RLT1Z+UcO3rNrzEpXFebnJmZgWDVcnL3OcX0zgY Jze5sJ8Bsylep6eEBve7nVFFAQyEY0OC4jIaWhPlVgMnGFzd//Dwjgc0/Dct PXA9loHqO59/cvg0OpxfCJHNQDTwn01+hEaE674g20IGjzJMGbM6GqIPbdke 9xhEMBOp9c9o7NTW4L8mDMTt3FzNDhpLrp6MtRph8CRl9njH51+23ZPs4Ewy yNgSYFlA0SjbpX/MSMHAs8i6wrn/c78xX1M2SwWL7zPjWBIaH8r0kiqNVNDQ ZRylQzT4R2tvFVmq8N/YVy8uyGnIr2sfYpxVyLTayPUepfHSmF2cuUeF09Ic X1OaRk3X8l/njqjgdV3LYHKShm5ekTQgQoU1XuEDNVM0RrRk8/UTVdBS7yy8 OktDOBs+WH5NhcHKLWFH52hcS1nsYPebCvywgnU2ShqSLnfvoDoVrpssmlap aDhWrX97RaXCX1cLosc= "]]}, Annotation[#, "Charting`Private`Tag$2601879#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8VPsbB3BbUWmS3JIoeyrFVaGbepSISJZEJUSLpSuhW4lIo2RP0iaU Nkvo/qQIX0obspZmObPYxsyJOWiMLDN+5/51Xu/X6/s653u+z/N5ztHxP+12 XE5GRkZZVkbmv+tQ78vWhW40EDs/K49o6ENheVvHO91pMNfslcMLg35kLh9d 0uNFA6MDw62c3H40c6ImYOQIDdqLPUqKh/rRu6YZjVl/GvjZn9Sdu3YAJW7Y 1rkwkAb/PA37IjoygJwzY65r/k2D3P7JZ5nJA0hNXGu9LpwGMoqKnZkVA4hx UDqx5Rx5/yJrIznGAMqv3V5mH02DpJbz+VkzA8g4AWmduEoDKu9C1uxfPDTG n/0WmUyDlEKtrZc8eeiNk3XKlQwaKDW3qV8K56Fdag1T+fdooEYp1C99zEPz z8v+W5ZHAyzHiq1Tw0PtzB1BdY9p8KgycN/DTh7yLnj3g1lKg8qWsbxlEh6K NGusWPqeBi4VlOw8h0F0YpN2/o3PNFCdtx1qvQeRl3l0snIrDUY4Q2k7Tg+i rX9t8pej0yAhgvX0ceYgktv5eJFQSIP6gB0zZV2DSGQjMx0ookHdX/bveb2D aMDWm9c3SQPmGrfZmtFB9NlBrZauQIcwt+7mgxQ+SnelBn/QoEPE6irfehs+ inPnelhr02Ht8oCjR134KNzDasdbAzroMxps67z56MBB0bKXpnSwOphc+yqS jzSPHvuQY0cHrqlcCP0hHxWF7dKODKdDRb0bnzrGRznh+QuIc6Q748zbp/ko NXJGHBRDh4a7xoVjCgIUdr7iq28iHfjv/zBrWCpAFnH6Fx1z6VDW+vprnqUA GcXHnfhYQIccufV3kbUAaVAx1x2F5PrgHk6tvQBJr2UZWVTQ4dDLkywvLwFq TFfo1m2iQ8qeIcmKfwSo8oZfw4M2OpiXSHfYxAjQ85s1Jerfyfe5a77PmSpA ybcjr1C4dHjv93NmcaYAueX1m06N02F796SeT4kAcUobkzt0GCAxoW8JwwSo fVhhyGw1A2p2a9N+9QhQvbGtU5YxA7Rv6y8OGBSg/KIPyp4WDFD/1ZE9Z0yA /J9+TMWcGGD+VuIcMBdHvAef0wfPMaA0/4xK3TocdWNKI/YxDFh5ok5HyxRH n1Y4uBTFM4AICZoN2YSj53e/qPydyoANObHjdCscBd9qujH2iAE5jyp8Z5xw NJzSclPylQGKdl361GAcsZuVRT5dDKCGqJaI/8ZR6/y9++tpDDDUptAOn8FR aeJXtSt9DKiznF8hPYejMGrrLaVJBmhewoOLqDjye08RB0kZULkyVbnyGo5c 5fYdaJZnwoK4tyGvknBkFte2NI3ChGPv/XvTM3Akuth+e4k+E8QeY8qv7+Oo v1rld+QaJvTrpU4H5OLo+6SLV/cGJlw7OXR7zkMcVZ7rUL+7hQn5Ca27Vz/F 0fmIzrsr9zEhuLMjaLAMR9PB3+6viWLCzYk3IWENONpvfuTGhlgmVJSV/3B9 j6MSWd7VjVQmaEZVV639gCOfOxNntqUxgbrom977zzhq+KBh7/qICduaX3tn tOFI40bBtgPPmBBo93q3SQeOwr2NNx4uYUJ3/py1HztxpP9r28rjlUxYee69 CvYdR9e0j4rONzHhvp2NTBETR9yfAkFMGxPCeF+t57NwZPk6nBP/jQlW55/8 9GfjCN9LbUphM6EmePKVhIujvRef5eePMSG5clMyYwBHT+1Ms59MkOvLY1Nn eTiSLq5KLpphQppk1E+Lj6Py503/VMzFoNw9vtgGx9GS7mGnzxoYDJjOVbcS 4ujUw392fl2FQVzlyWEjAkeNp2YtOvUx+PzCd4QygqN/5BfrYRswYNhQiz6O 4qit9a56z0YM0Mjic3fGcGR0T5fCs8Sg6Pjk/YBfOKKbbpokdmJw97ieOk9E 1nOmRijajUGi4dsrD8ZxlPTJtn/SCQPnv7zCnMU4svLxbJP3xCD69OivnAkc 3VrDbVTyxuBaj33uX79xJBQFVi88ioG985GRDtJ5yVFPloVgYGBv8nJ4Eke/ D8jf1wzDwO6Fj1n4FI5cdFMydM5i8O2FSdwIabmqBxfXxWIgfBv8hDGNo8NU wzOmVAzmWZxKs5vBUcW+shObr2PQMgdOlpA+zqt3hZsY/LILmX9CgqO6lw67 d93BwD89faCK9NKYTiuHBxg0PlrRqSjF0Wn7w2bOjzCI2GhJ20f685L+1e7P MPj3oHj2BmkdziktrxIMdo/tc20lHVU0rnrkJQbK06u/KcziqPPsJSX/Sgza h/dkbCa9boei9MRbDDyWn071I11eVLyaVo/BI75uRSLpTWourg4fyf04gXER 6TcxoqjqZgye/to520jaavDO43UdGCR1ppvTSde7bGvN6cbA5V4Ik0fatrpn YiGGgaKJzMQw6Sa9qzqxPRi80/DOFJJ2Tl3rOMIj6yENr+T/tz9xa+TRIQz8 ZFaewkh7+kXkdo5ioGWpWfOFNPZl2WebCQy61ZeUlZP221gzWjFDnj8tbe8N 0v05fisM5Vhg90MuP4R00Nw5trcVWUCf/VIKpIWnC0OVFrLAyXh1/ELS4fS9 dy6oskCNaqv7nTwv8c6xBnwZC5YyLG9nk75Ykv3zsBYLYpWkfFfSMku3/vFV lwWMPRdX/VcPaixn+3YjFphnx+2sJOulJLgSWLaeBXXEp4O+pFPdjDK1N7Lg VsP4KTnS2QZnBuS2syDDz/iJOVl/jfQ/FkXakM/jqNE/kf2S97vKcsCeBYo/ CgzdST9vlkv55M6CtdJb67zI/jLe/OyV5UEW6F6yHO0g+7E815FT6MOC1mKZ YVvSVWeyzFKCWDDBKn2kSfbvdqaltySUBUKpVXAs2e/vdrESQiNZcCdtxxWM zEPTMkO6SywL1DdZNiaQecFqX8f+cYsFGy7SLG6RefNb7V149R4LlI/e2tFM 5nEgQ6ZrIo8Fi17qtE+TeRUGOBgyilgwd1wzy4nMs8x8ZktuPfl+g4G+L36S 5xMRK170kQVTGGbxhpwH81h62pebWXDWObqxVoAj1fJTEQHdLHAx+KZSNUjO rwPS5UZDLPB3mFI504ej3Y90Tr5cxobrI2OHf9LJfrxDMfyoyYZ2n3BOFQ1H 2mnT/QwdNjyN302h/sDR1IXv/grGbIj+syFmATn/Xrhe9/G0ZgM9/n8qg+T8 XCI76iEJZEOxso/rt0ZyvxMsNdVQNuB58919yXk8NNTUZRjBBhVm4lYeOa8/ 0h67usSwIf7al9bBOhxdKPfaW3CDDQm6kUeq3+CI41u/y6GaDYtPh0ryinHU 4vFC3gexoWi53AxeSObF8d678EY2pL2g/mH2HEeZFpHWOa1sYGtEPal4TOZj kZEV0cuG2xYtKckPcFRcl77x1gIOyGcslL+ShqNzWr66Pd4c8LTJqy0mv3/+ LqYHsKMccFkzTU0KIfNzRTbpxwkOqNVs6TkehCNDQcHo1zAObNI4eFT1OI6+ VfDrq6kcyClXq9vpjSNTp3DfrBIOVI5saJHbgyN+VELO7hkOhKYXpVD0yPl/ YF3gQxku1MevkqVqk/UfWSK3Sp4Lam0GjmItHDnqDWzWUOJC5Qb1kx3qONK9 fu2BiioXMii2I0cpOGrf33JKYsAFy3Jq8/BvATIe8ljwYy8Xaj76mNQ0C9Cb /U4oyYUL6ndKf6V/FiCb2p0R29250DjxaqvfBwE6lGbCfOLFhd95R3zEdQJ0 3XRecWQAF0a+X9CZfClAvMiaPaoXuLDB+5PJodvk/4lEN2nvYy7M7Q/zyPYV oCWLRpQap7iQ9S5LZS+Pjzprk645SLhAeVskzezlo8xTBnPbZrkw1HDEspvN R6pNh+QZCj1A9c3I3P+DdMIHCUHpgWpmosT0Mx+pTN8bW6HXA4Z1o1eCCvlI edAWi3DsAXG1URUniI8U0P0yvZweMJalFSzqG0Qhm97S5zn2wlSy+6a+HB4q dvDPrxP3goLIe/W9PwfQ+E8NFV52H0g/3bTvrupDr9x3y2ft6gdVQV+UwnQP irVPyKvg9YPd6fuhXpu5SIe1h1aQMADeBdjTiBIM/WVBzVpuxgPRoElOtDMN ea9sm5Tt4sHzpkNMtZEuNN6U2ht2eRDeLL0dcb3mK7qj4BPpps8HU2F2rX7O e7SE/eqRXCMfMkp3ySYp/4vmxFzev+WMAOpry5bLyN8DmUKfsl5VHOI0jm18 powg/F5Zquo7HPx+6G/9t+Mr1K5LVFoc+hOwrhcP98R1w+I94cbxlCHI97HM /9OEDdj69q4LNUPgFsRRb3nWB+W5oN/vMwyZdFdr2wA+HCkzX6wlHYa5W99l m+QNQ+Wh35R2GSFInw11J74eBsrcauUr8kK4L2uuONY2DPXe25QESkI4t2ys XESu052/a7ZiiRC8Wo6l1gUIgXfMddhpjRB+n907EWdMQKjGqS/R+4UwmODi yDk+Ah8/rP9k4imEBRsPpxpHjMCqM0Rj70EhlF231qXGjUD7p/B6e18hlMYf eux2fwTMzl54rRYshP16jNrTHSMw0Xb1SUmsENZeFdo1wCjEJTy8jBUJISnl mcdNgzFYeE5xz9EXQqhveT3v2MYxuBf4tyqvTAjHOFH6O3aMwf8ctxQQFUJY t//nUp0jY8Bb3NEoh4QwxhrvuHhrDBxzZZTWdAkhytmdUqf0C5a+9k07Oy0E itXwotKpX1Dw/MOBKYkQDhiJBr3ni8D03rpVsTIEaJ+Uqq3UEIFDzERZ4hwC nH8vjqZtEUG0TXrH/UUEiP4Os94cJYLetjq1d3oE1CVaULqkInjB17pPcSJA yZqvbqshhsQHCX5sZwJWGiTrLzcRwzG3YYNSVwLkjMRlarvEoFlTU77XkwAt +beUq6FiSEo//DHFnwD+n7lloR/EEGh+d3T+BQLOpc6xPRk9Abt+yrxmXCQg Vl1Ld3vWBKzKD4wuukTud19QrWvJBHTPs1TcQyXgzIUkLQvWBNiyujWvpxPg b9BYaLnzN+hS1ewVnxJQyzopTloxCVLL6IU/nhNgXaiWFGw5CfThvs6nxQRo RnZervaYhAzP/x2xe0nAmxi/+Hc3JmF2rVtEQg0B3guFcmYqU8DgVFl6IAKo 2eM1rn9OQWWWjlT/HQGmHjm3tN2nIFQ6ktj4iYBMNbF05s4UYB3pufJdBNhY HDMJMZmGN1cnArq+k+dzN0ym2nMasrb6rimgEeD59OrS/ZenwfHJhoqdbAIa U6KWydKnwfBQ9gXVHvJ+lgudIhRnQG6RdHtvHwFtTiFnRRYzUH3+65fLAgJ8 yw+2XMqfgez1m9NdhwhQcI/YHEWfgTO9Oft1CAIubrZxSVgqAafbChqjowQE Zo3j5V4SMHI6xakXETDZ3FWQ91ACCrLfHmdMEND9a72SqkgC3Fdbg/2mCDBJ 68467iEl/+MLTEwlBCxxmRcS0SWF26sWjM/OEtCZe1arQjIL/weobjwL "]]}, Annotation[#, "Charting`Private`Tag$2601879#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkXk41XkDxS9pSJYsk3i1KO+gNOOpUbSdd5KSpWIsqUgykaaiV0Opobq2 IkSLJVka2aIaMjNuvpFURpax/q7rutc2FPdLiem6y+v94zznOc/nec754xj5 nnb5QZHFYh2f0/999ZIBeW4ag3W9RYtjivrJxkjjcIcsBgf5WfsChUJiejny WH0eg7obnttazwqJAZvn/F0hg6n336YUrBIStWirrZxSBiIbZvMCvoDIYlJN N5YzOPPwXrJNtoBMxE3oPPmdgWL3uSSFAAERXnOUmxMGMad+ejW0XkDqEpU6 VzYwKGls5L8o7CNPk31q7jYzUOoJDuU595GCFE7Jkg4GduHBTdVSPrl2O+SK hoBBQ7EoacKbT1zuDVqIPzEwryjuUN7WS3bk/Mfw7CyDxrgu9YtiHrHMy1Se YHGh2tzwIfI3HlnywJU/tJCLOyl8I44Vj/SV1l1rNeLCu3366YldPaRlXGls nQkXPgZf2pdo9JDn5raOqeZcqAklIQ2dXJJd9FLNYyMX+8ce1Acd5xLf/PoE niMXnIktHc63GTJ893Xi36FclKd4VFGNbjIe35gifctF9N6h2QinDsL/U23K u40L3Q/tmXrGHaRJ1cn1efdcthm3/yhuJ6Wxb3WvDHDRmLZoaVBhOwliN91U +TzXzy4PdF3QTqbCW27rGPcg1usMO7PtLzIb2J5hdr4H0QJd1amrLcR1g1fy 1xE9eHT6xOrFgS2kRGE4ej27B2ECM0+P3S3E+85M8Nbrc3zZkfmWKi2k5qWB nXNuD/y0tvjnajSTmBVHpsIaepD5S3SC35dviU7nuONrAx5c9dNa/Xa9IWu+ U5Ydq+Ihc9xm0/CKWrIr18j/sR4fSQ+aDvi4ZZPQpYdXCg/1IWmtxYTJwTKY j7kt7HISgH1yhXJOfS10NCdU6sQCWF2vTO/8oglKJKNsVaYQJW7CRa2q7Tjx bRWzwKEf7hV70184MSje7ZtdPd0Psa7kSuM+Pj69N1g0fGsAAxs/dZ8OEqLi +13zUncMYpPZAS7lDSDCLupe+fAg9FhWeaaLh2HUa9+dFzUE23Vm3/+4ZQSb NrJT9dcNI3Pns8HAq+9waFnzZ4W2Ydhv3q98vXgMnxoS+oMu/Y3K5+oj2tMi 3FHyDnExHsH287kax65NQIdfkatYN4LaZkOLjJuTmH/xkqt18CiedO0+Yfj0 A1iF3mX92u+gXC8caHnxEWfSyxK0a99hMr6rMGh0Cs/WxKponXoPDudorYna NLTsz5hf1hiDoNfBpGbZDHhrW9rOccbgcmNPo9aef/AoC8aD3uPYt/XZR1bw Z3iVbdBaKhtHToiJ5qE0MSKjci7xikQ4tt1pbRGdhXqosv2RhyKIgoxPDk7N Ij3gpPZwmQh1tb0DK8Sz+NXBOo+Wi6DSHJCcrSTBsFZrnSIRodo3pLxKXwKH LJaKWZsItW9Wt/rvkGBx5eHrZ2dFGFSz3t6ZIUFewUt3sVSENvfESv8cCSzS 1yyPYFEo+rFvSvIl2H1xpix2PoVaaneNxRMJLtgktmZoUjAt5GTdawn6m6t1 a1dRaJvEv8+fluDhyNIMDUeKW7kivtBNiti7UT78PRQstvVPfxySws9l/N+l zhQRTvGl6UelMORwHjl5UKxTrXh1JliKq4kH6+N9KVJiR8/FJEgRsCFtUvUc hTijyuv8Kyl2vGdVcsMpjt8x9RptkmJ5dsCFop8pxjMU3Pw6pehcYKVsz6bY GaTZFDEkhW1vp2FcIkVO/qk8TyUZVrJ17ZTzKewq09/o28ogs7qg3lVAoVcQ 6h7nJAMzPvBXfjFFZtWVME13GZI8fvXa+ZiiWz98vZ+/DPLVLv+N4lDomvRO uF+Tgdv3u5UboQg0OLgsN1WGp6lGMuNaiot5nq2LsmQ4JZuIrXtFESv/Ruz7 WAZea2LWvLa5/YyUVkuuDL9Fzxxt66AY2fKmemZQhtTNh83yuin2O/b9LKUy OPzydfl2PkXpn7Y1H7+Q46sDt85pCykMC2/N+0dbDkVN2bb+gbk/9j4pCFgu xx9hb99cGqWIlCYbdVnLcWutZaLzGIU6s36rsp0cwf2ZrkaU4qVlqrmGhxyO t5UMJicphnZsumvsL4ep4499z6coHqnZJ+WEyaGk0H4/aYbC2jbtsl68HIKK zYE+Yoq7NzxX3s+VgxOY942FlGJTes2/zIgct5cv/CSXUxzYfT8uSi7H/wD7 MIXn "]]}, Annotation[#, "Charting`Private`Tag$2601926#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk4Vdv7APBjCJWrDJWkRCoKuRLuDW9XZEymKEmuJknKVEm+IiQVknnO UYRQqAy1XElFZUhyhn3OMR17h7ORyPzbvz/2s5/P8+y13r3etd53b2XPiw6n hWk02hJ1/f99h3z/Un46A7L8cw5Gt/ch/RuqIdY5DCgU4h6fietHahE3zjTT GaAqo16/TNCPFCLZ9v88YYBxj6Z93u4BJBltYFRfxoAq7E/tCp8BtHgrSU2/ igERvR+WBrIH0NjtMdnnNQyY/Tn6NunjAOq9Y7OkgRgwvi5sVHF8AHXeK/pR 2ETFb8p74b5mEDXFi3artDAgwVvixC+9QfTivsd/2W3U/IHXrO2dB1HRg/pS +W8M2Pxi6VdzwCC6kxp4U4rHAPqCUdr0k0F0Pb3d9/YgA+RpAZ6r3w4i30wN V9FhBpzadqZQlDWIHHIHtGd/MeDM96tHBOJ8ZPpwn2LQHAN2lNCw1Rv5aA89 S3yMxoRv/HeF3n/ykXyhE2dwJRN462w8aEf4iFvWdKdDmQl1uoLbi9l81D4q OqKznQmddQ0ew0/5qEHDzCZJgwnG9Eg5r9d8lFf8TtJFnwm//3a4qsbiI8/H zffYNkwocxsbs5UZQg6DYgIjByY4L6uvtVAaQvtVzW1zXZhw9NbqG1M7h5Bq /nspT08m2KA7cM10CPGzP8QPXWFCLbcw+oL/EOpmS4xZhFLz4ybdjqFD6P0G S7viCCacZ/DXCMcMoaL0j6sv3GPClHLs69dZQ8g7ueX+RD4T4mq8n3HfDqHR u58eLHxmQnpJyMrF5TjitEpOun9lwgH557ZyMjj6suKgU0MPE1IiEv8UV8BR WcxnuZv9TJC88ForWh1HlyK/JEvMMKE4+3bm4gEcebyVmjq3yITJQZXqVbY4 shc+5NwqwoKz1uoOIodxpHOjbW2cFAty0uejkzxxNBnSniqryoIsk9k3vtdx NFC7+negOgtwpxrhgggcfZuxO9KtxYKdeSZbG2Jw9OJKh3z6Xyy4lFzGKUvC 0dWAzvRNh1jwOH2joX8Jjua8uzLVr7FgaLlnL78LR056x+9rhbEgwzRQw4uB o1IhfvTuSBZIOv1o6MFw5J427WcUx4IC7YnKGD6O/nunYGGfz4JdKd0T6tM4 UrhPN3IuZAGvI71p5xyO/N00dh8rZcHUlGfqpiUcqf402nT6BQuKaU9FesQI dGvzv5NXW1hQ9/GTTO4aAvGGCSK0jQVNjb2rtdYTyOClPzeiiwWL25NDyhUJ 9ONgZMtdDgvWLl/5d+wWAh0MKczLm2DBmqboh3RtAsl2j9p8UGDDsS/Z9VEW BPJ5eNnksxIb+q7NzNlYE6jJZ0m/U5UNivcPsyRsCXRZRHoLW4sNpfl1pLsj gRjaujOkCRteXvCPuXWcQDrz9YJJczZIpmwenDpBoNj3ZgMzNmxQXXMWHfMk kKG7S5uICxtGWGoOYmcJlHvn2qN159kwHpOb3XuRQL+dRTIVL7EhPzEydcmP QHYqdxOUg9jUfhd8kQ0kkHBNdsjOMDbEDL+2UbpKoNP8Bnt4wIbU5Al2UxiB 3jyzNDdNY4N/5R/yqeEEWhvaaWiZzYbL1kH6HjcJ9EF2YLtjIRv4hscufY8m 0M5/xBfP1LEh2Zb37dg9AlUUl2zvaWCDLbFZXSKeQLpydvaWzWww/ZIaVJxA vf9QWsHODjbM6j2363hAINt7O6zH+Gz48Mf7o8XpBOqc+hL47wgbJuIj30pk EsjFIyCnc5wN73eXtxzPIpDH7vrxqnlqvPihheEcAvkzDqYFy2Cg1ec/nUEn 0JTJxH8/1mFQFHDDoaKAQCGlKcPHNmIQ4JjGqn9EoMgwrrGxGgY2XPm6ukIC SRA3vco1MTCduaZTVkSgew5qiZt3Y1DJYa9Pe0KglK1+g8LGGOAy41ccSgik EL9mVeB+DM5I1fyxpZTK/+8ag0ELDHrvlNkPUy5qFb773hEDdhhP6WQZgTT2 FFYbHMUgAgW+lymn8pNjzX3ijoHYHtyllnKNX5LO3XMYLG3gnh+vIJAxy8Bt wReDhsRNK8OfEajRFIvyDcTghd7LFonnBDpQFl7ODcYgQ0PqVQzllnXbGHZh VDz+UR6tkspneItwYyQGVuJ0Oz/KX3/4auyOxSBk77s1TMrs1y/D1iRjMN+1 vSOpisrndrcn0RkY2Jkd4PEpDybQvk7nYmAeOBf0ZzWBvGcL5r0eYfAl1DYn kLLgpOU2ZjEGay03na6g7P959JB1BbU+E5XuAcrTeonB9dUY0KWH56VfEOh6 nh5dsw6DTqv+AX3KtBWsTzkNGFQo2qU7U44MCJta1Uytd8Z+qy/l5diWzeGt GGwwHnzwP8pxBz5YTrRj4NrRR96iLFPhE3CyG4ORJpppLOWU9dLZXSwM2gWd GVGUN9ysbjbrxaD1RutiMOW8kaNjL/gYBGbtvXaWsqrz4nq1EQya+h3X2VIu Qvn708cxSBTbytOkrKlufmHFNAbTNnkcMcrPE4dTQuYxyNuUpsig1qc3H98w IsSBA7ca6AWUa0/r/jguzgHDV+Wh5ygbt/XItklyQOsWp3I75UaDUKN9Mhww +FF0iEvl1zxf+eyzdRw46mfrmkBZN01qW7MiB9oPHK7fR3lz3NwAU5kDUgZa gcPUfs0Gf/MU1eCAopmrsDbloYuNyuv/5MCGqXn+R2r/u06X8zT1OOB6S9rY nfJT+9vuLvs4kH32yInL1PnJML+80ceMA75uoD9Lna9oo5PsG1YcyFgpnH2V soe6kWuxEwdMoEbjNHUeZYXGDy94cQDDT8kuUueZNo3JyfhyYEJYWdqF8shI y9dtARzI69RuL6bqobmnwN4ulJq/40OxSTGBgiuOHKTf50Dmh45gXaq+zjw2 k3yVwgFJy5Qdpx4TyCFLp/VTJges/if3KY6qR40YScupRxxQ2Nc13UXVL/dE g6llLQfS4dS9rXkE+nT4qYg74oDgrscJzVwCvbLOaPRv4oBabc9Bbar+E/UD 92V94YCK76bk7VR/MFulZkj2caDc96QbO5VAJW/idyev5EJh6fjmk3EESqu6 PvFkNRcyJLNllah+FVl87tmbNVyY7/5yqfsOgdxT9u/ClbhwLaP+uv5tAkn7 Tu/Yq8sFFyMj57dU/7uy8YRKrxsXLHWWtS6j+qennbYz+18uyB+58nfEZar+ bgrFfj/DBf5kQ8Qs1W+3EfTxz5e4kFgeU8qh+nFXFd5QG8kFz4KJj0HnCaRt 438iqZQLDjNBe/uo/o9fi8oyn+fCq7bxhRagvj/OO70e0niw9lTy+o9G1H6N yQorifCAf5Qb9HYvgay3DO5RkOCBwdPquVJ9AqncvpW9WoZ63s891nEXgdqd PvksbOVBo32o9PhGKt8jh1d+P8iD0mOuJWG/cfTKyQbF2vGAfa7a79svHO1/ bRJg7MiDHDNTre0/ceQat4v16AgPYnqdkt+M4ui29vKSwJM82FTife51H474 gfVWMsE8cM5uiVloxVHegkrswQIeuCdw7qdn4kh21ZhE0ywP5N89NPhvF446 X8feslzgwfzdvf6nNXCU6LNVrG2JB3EVkY/EqP8VmRZXEaZoLzTFDy6CCuWo dwukVC+ozucWxMnhaPVcxsSGLb0Q6241kfV7CEkOmbEDrHuBGZrTFf1mCImi zPItWb0wUpa+1PnPEDqvW8dYbt0HafJDy+Kk+KjE0jPvzVQfuG/UWqp+PoB+ DSus5qf0g1hzyFlD835U7WgukmQ6AFcV8OqJB70ozCIqt4o/AB6RD7s8y7lI GbPqoUcNQqBQlFa8EBv9rR+ZtF6HD17EVs2bld+R26a2GaGvfDAUzIaGeH5F v1ru9V0KH4LNpvSpx3WfUJqoe6CDKg4Gr8xHq541IllOdb5wEw4NO9rPOHhU oGWh4U5/+RHAs/OWXyORB7Qn7uV9Mj8gQeZVi5JeA/hnlN+TafwBaZxhqQMX v8DrnTES0r7DgItHP01p7gZpK3+NCKkRcPIMEuZe4ABbs/1rcP0I5CwkVmx4 2w8VOaA64D4KWcEpDoxrOBwv15PeuDgKfN+/lq2oHIUXrr+l2mkCMOzIfefQ OgpSYrWSN0UEsNtT37+kfxQa3IwkCAkBPHWNkrgnJwCVFaZLVbICKHyqeFfu igD4p+xHbdQFQKORPvZAgq+Cz8frTgKw6FFY0eA7Bs3vNN/vchHAxViHOtHr Y6DkRzb1HRWA/7Md9Y63x6D9vX+DxQkBMDMtJKULxkAnKPilnLcAtC/1pK1k jsF0W/Sj0jABGPuMuqyzGIcbUQ/D2cUC6H6clu+qOQF/XBG3+vepADIPk2yV vROQ4XVBhl8uAIX0I8HTFhNQaf0XnawSQDM57NF8agL40h1NwkgAA5pRrYtZ E2CdQ5NQ/0rFSzrqPbfqJ6x9eSIuaE4AMimdqceEJoFe9M55dkEAVrktekLS k6CdsVMpjEYCX2depWbzJFiGTpfHLCOBXn5pzGPfJFzfH9+RuYqEc3PPN6bd mIS+tjdyjVtIUPyhtJwQ/QVP8Y2ZUjYkmF3MlalRmoKY7CgPji0JVz9nOYbr TsEph9GtZfYkHNnyUsjPcgoU6+srDrqQcK330/mWgCmIjT/WfNeThKmYyJ0R LVPgpZc+viKYhJy4ljty4dNgOkx7yQyhxk/tUuOkTYNSntf14v+R0D12/9RA xTR0LzcQt4okoUi/t7CsdxrMsG7F2/Ek5M5EuV098BtUIuUsxB+T4JA3o+6o NAOLBtf/+F5EQoYbe1jFcAYYo/2dj0tIMIw2/O55dAYSXCqPH3hGws1/KoWt kmdgaYdDQFQ9CWc050MDZWeBya0xOIyo+L3a6hG6s/AiSXlRtZEEiQco2dh5 FnwXx2Ka3pNgJ/bq52TmLLA74nNEvpKw/nGLlbTOHLyKnj759RsVn++3y8p1 DpL2nlCn95Cgu0h79PnmHFg/0qoy4VDv4w+TVqw52OaaEizTS8IWqwt99OXz ILxq0bivn4StrjP0FX/PQ+3Vzx/DCSrfdrWibvnzkKK5J95+hISs0RYXA9Y8 +PVlOSmTJJQm9G9QkV8Am1RRhfFxEuQyFaLVXRdAzcaH2zBJwsChfMux/AUQ FeoqSJgmwbit/eyeXwvAq97r7TFLwiOx4SOOzotQ703fpb1AQkJpgP+GrkVI VVr5a2mJhMrmn17VC0vwf4zouRI= "]]}, Annotation[#, "Charting`Private`Tag$2601926#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHs8lPkCh4U2bevO2myF0p6kdayiizrfEqdCRIp2qdhuW7pIJamNFsmR 2fbIdaJcKpLRJrn/WqFVOS6TwbwvxtCQNL8StZh5Zzt/PJ/n8/z7WAQd9d6r rqamduAT//fv2ZEW/n1iDFdndugI+khRXJPRL/1iXLhdXnjUoY9kPtE+OTAk xm8R3j5tJRLC+8yj3UUuRmN/ZdxCfwmJdEm0v/VejLZRVu2EoYQci/7fVa0J McrautwUt3rJ7sc6H37ixDiRvy/mZ/te4qXuuf2ZBgOZceD41897iF1k85eJ OgwOxDV4mGj3kPlEN4waMnjr2d1p8qCbGHKeHVtmM5C6Byd+EdhNxiJaUgwt GSw62mNeVsuSgQq9v05YMeDbT6/JC2NJ+8QWP5ENgzN7zkhkNiwpDWv9Km0l g0cOdbfO5DDkdGhb2jxPBrevlNc4XReTqYMvMqzOMEi2bzm3v7WT+DgEXLE5 z0Dr9XI9g6xOUjhNFrs0moFErjcZcLiT7Ez9GLImkYGR1rEvqmd1kj/qTTd6 ZTMYvjhj6bBHB7loHjh2+ikDnZS0sT+G24mh6I37n6Ys5hVtczAKEpLgG6ec msxY+HzWIyCOQlIXrFreZsmC7V1jk2ssJKc09BewNixe5D/XNXzaRrpsl01Q JxYV+Y2SffZtJOs/Z/JMDrE4pfLXUBi1Eut1M7h9lSwUGfvjlw40keKCO//o fMRiUUhJ1H/5TWSZ0RavTQ0s/MprHq7e1kRWD6bmWrd+au1M/X1PnhOPy4vd 3spYSGK33RgrekaOd21ODTfohvnyxMWm8Y2kPCTJLuGnbpS49+VcOFhPNmRb 7L9n0oPULsHOe4GVJGzurvl9/r1Qa75Y/yMXQpaMbJvVsVmCtY2bU+YcKYWh 7lutukkJnEPi/F5aPYEmyRAs4Pdh93nbLUm9LTi0rLJrppsUayNfrSjYJcKd TUHXaz5I4bGn9MnWZAbjr031ZMn9kKYM7o1ZJMGDrRs0kpwHYJd4V8jkS3F+ Y0xWiWwAxqJZsezYACy6XTtzYl7ier7okJf1IFYtj06abScDLzfcuuHSK/jP a56YJpQhS1fvxtHy1xh/ell6LGoQ920t6icN5EjV3HnC23IIqyIOP04zfwvD ngfZ6nVDmGifDFr93TtMPxflszLkFeZEBbzn+Y1CLX+nQGowjJmrEtcnBL/H 8XTBZYPaYYwW3rg3mjqGaus4Lf0jr5F9xGnhD7Xj0Hc9vuSCzgi2ho7aeTIf wH7bIgyvGkHZDqvKav2/UJwJy4Gdb6Bue0y/0HECAQIH/bncG4g8pg0FH5pE ZMyNKLZADt7ljSueP52CdtgM18C7cgjNZXutW6aQfuCwgUzwqQtDBxPap3Df bWUOLZFjz8x1Gr6SKcj0W+vUiRwtFoKjWh+m4JappmUllOPP2IolgxYKfPlw V+LJKTlCBk12iyIUyLldv31SKYeLpuvaK1EK2KZbm51Xo9ixw6bU86ICm859 FMRNp7huGcbv+E2Bs+t5rRm6FB41+RNGBQpIm2uMahdQuF11v+TTpcDdobkZ Ou4U124X8sIclYi7FrO7x4OibLbGo1gnJfZ4v1lY5EXx/RrZh2ublJhTVVW8 2ZfC8Znxxpe+SsTzfmhICKIQfZ6V231CiQMOae8+D6eIjuEXCYqVcH6t9lAc QbFnXezXAWVKmF0/cLbgZ4p6bb65ySMlRDNXzHCNpjAI+C7/92YlXLpFcy7x KLIq6udcpUrMjzbaOOMmRcqh2jU8Ow7cirPaHbcpNBHDd3Xk0PWmv+3mHQq/ F+k1c505/Op7P+Df9yhejuxYr7edg2qxd2hMFcXw0JLnnhEcxL3lK7aRT39+ 4W8YjeZQmmTBWdZSJCz0taxI5HCEextX94Sisl9aVZfNgW3lZWoIKZqzM4oX NnEoi/34o7CdYsHhsUvenRySHHdZ5XRS5L1Mf9zQz8Etz6bEqYciPjTC5eYU h2++Tw436KPo1uvf/o2WCuq63L+k/RRFpebhXxmrUHG6qTHqFcVW50vVmbYq JH9rz/MaociMf/x0P1QIkfJ9LCjFSZMF1MBTBfcUTdN37yj25vm1MrtUWOQe 3PtojKJxUl1j3nEVNKe9yP31I8Xm4qDi0FgVJA8cD+6epLjTVxA9M1OFqoM5 /7RVUiTzV0kGK1VIMZs1rlJRUDOHuedVKvwNocp1TQ== "]]}, Annotation[#, "Charting`Private`Tag$2601973#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV1nk8Fd/7AHBbUkpZPhXfJImyJiFKnrKESMgWkqV8SiKRLBUKoUKyt9hT SagsSY762BOFhHvv3Gu7M6Q7SPblN78/5jWv95yZOc885zxnjrSbj9U5Hi4u rhXq+P/zm5wwaaf+PhhY1sySZ/ej19FfxW4P9oFTtuL9olMD6Gnj+qtDRB90 N7v0RbYNoHh+8x+GnD5o97DX95IYRGGGcRoFf/qgSUFM2NZ2EF2OaEsWmOuD lDuGfTwxg8jlP6HpC8vU8wnrra+VDSJLnhO2X3hp8CO0q8+JMYj0jsSXK62h QaUQt9EH7iGkFta+KU6IBjWrf+fqywyhHWjDNVKUBrpR75P99IaQ6PKJnxbi NNizK1v8+ZkhNBXyLVV0Jw34usf4lJKH0FDVxll/eRrUma4IsoqG0I85C/tu FRroHxyYOV8/hMqvfd+Srk2D7k2hfN4TQ+hZuXDQvC4NkqoyLcT5h1HqX8te RwMaxNinZs6JD6NAv470bSdooJe1+DoVhtH5NyLzodY02DTmj/lYDqNTE1YO /adoYFixKu6N2zA64NMpkXeWBms9Jeyf3B5GC55dj+SDaVAo27TARMPIWvP0 A5VQGuTU4Iyl1mH0ipsdtS+CBsF7t+PNvcPIOW3G91Ac9f6DpzuCJ4fRp3oJ Y8scKv5rGvyp29lI4kHuIdsCGjh7NJiFKrLRFSelfY6vaNCyuaFeSZONdv45 tO1cOQ3oD/YnM4+x0Z3trlOBLTQQF3kr0ePLRqxfIyM32mngdED27LYQNtKq uMK81UXlVzugcH8EG40ej2i5h9GgYSTwGpHMRsdDCrKyJmlQ75bheraCjUS7 f5s1SdBBmSMxlv+HjbyyA/S+StGBP2zPvSfzbFTntbK/Yycd3tzkCr7GjaMA XmEZugodzDIcOruEcNSrqj5H6tGhKErp0NHdOFJbrOZMGdGhz+fhQVcVHMU2 Gg7NmdEh8EmTpLs6jnSc7dp57eiwLXU0WPIwjjLvBudvvkiHmN1cGkG2OJq1 5X209TIdqjOShHoccWSx416C9FU65EjV6ku74ojn/ZMQxVA6iFzu0PG/iKNz 7FpLeEiHEHnXvXKhOFI8snrZ4wMdRh6E2HHl4qjkZeGunlo61OY/t4sswJG6 mIWlSQMdOPpJmdOFVDx4Wp7idzqIMRu1M9/hyPy+guk4mw5qwkJ3N9bjqGO6 zd91jA4JX8NaV5pwZOfi97Rjgg5321bFMFpx5LKveuLdIh023tO/eK4LR1d6 j6cFiTDgysIZo6IBHE3rTX4a3cwAY1uSuYmNo5BXKb8cJRkgwxf38fIIjiJC mbq6uxmgFvZMdJrEUYqs7zCPLgNKpHSvmy3i6L1vktq9CwwYNvlrf0KEQLo0 LaclbwaUp9HxDjECfTZgRHr7M+CbspifyWYCtWyW67UIZUBCb+H6jVsJRP9Y EfpPMgOqOs02rZYlkMsupxdRGQzIuj58Qm4XgYYTuDpnMhkg7OiaqC1PII67 iVzfSwZ0uKi80lEmENdaWuvTWga8Wn3Ns1KdQBF+odMbGij/aJUL0STQGobM 9vAvDMhO5e1Q0yKQSImXn3s3A8RSTJ3DDxJop+2y+O4xBlhZjYo9PUKg5yhH P32CimffORFBfQIpyxtdWjvDgNS1t+ovGRBIczG+dowbg2onvudiRgQyypH+ t3QzBh+mU5tGTQmkniYk17AVA5WT7vp/zQi0PW5hqE8aA+/ZMMeZ4wSaD/rh xqeEweuTI3kDJwiE+3yWFt+Lgd2C2vQXCwJ1nStmKWti4HK+fWeRJYGKLGOc 7Q5jcIP/op3dSQJlGAVIehlioNcaH7TdmkBRh9zpYccwONxtXdZP2UX+kMNL awxq3ha+NbMl0HEpBXF0CoPC7cWJ05QP/LO5p9MZg4RtWnVpdgQS5Z6wWTqP wUn6fZsGeyqfMwwxEW8Mdg9of7M8RaCxsZZOOT8MAkYVO39Q7h2oSDwYiEFM wumLVg4EaujJs7S4QbX3ZuQ3Un7b9mDjuVtUu8jtOA1HAmXV3WwPuoPB2pcx ao8pB5XYH899gIG8/gj9pBOBPJ4ZrqtMwSBY0mYhj7LVY7UvrY8w+JbMv4qk DIlSsf1ZGPh9yl6ldppAStHrTKbzMfC4lSvgTVn85txqwUIqP7pu4rmU+f3Z DVIlGPAkCul/pzx5oTNSvQwDz+W3CbOUmWdqDUyqMHifpL1e3JlArTZFvM4I A4XHbv+pUa40zfh8pQ6DcfX2j4aU84/cCb/TjIHGzCK/FeXE/f6HH7dhkBRn 9MKOcqiy60pJJwZ/LUde21L2kjGvqe/BYEfPgvQJyvbiB2/0MajviQ5cd4Sy 4YbdOuQABsUK2oFKlNVW/bPAS2CwxXvWW5jytgXuqi2/MWD5W82TVLyCE5xA 5UkMeO3qZZooz7Jp+/VmMEjMK51KpzxMb5q2XcQgfcgh4Bzljo6ysovcTIgV JkoVKNc05fiH8TOhSeRsyQiVz8Ka+H3JgkzI3VcTnEM57d31yRcbmdCd2iJu Qzni5YXSmn+YEFCkl8JN2TfL9nKnBBMKHtfPFlDj55yiv4eQYsKbdz0mxpRN 76lyFncyQfQn/mCAGn+tW5JFwgpMUGUZ9gZQFvaeUTiozoROdxR1n5o/y+5D Iye0mSAmtHppA+XRU9+fn9VlgvGn6cR71PyrMyyUizNmQu2U7CF/an5ekzyz o9+JCYxufddlan67Waja0l2ZYO4sIm5L2fw2d+xPDyYkpXOde07Vh9xI7sTX y0yYp0GXjhVVT++I2qoIJsRFuDXLUvVWi7+fKothgoTFV5qVOZUPibu7S+OY gBveLQ+m6vNWmHJCQRoT/DO/M6qoelY1u3Im6RUTxuxfP1mi6n1rqP7D+FIm eGaceMJNefUbscbYciYcVzRM5jpKIGxzhUp4LRMOpwlEktT6cW9wYelSFxOO rvrElQgEIoIjHxstMmHo6Cdpjgb1/baK57O5WBB9c+/+PGr9chkX5ZHiZUGc lFSGzT4qvzLDGhICLNhqMe/4UpVAO2LuPNkowoLyC102WxUJ9M261WtJlgWj tzVV5KQIdJTzjj9kNwuypr8efyhJoOo7T7JmFVig2szhXfwfgQqqvLv+7GEB a0+2Qe0WAt3cLqwzqs2C2vuhd8Wo9VtpzEbw53EWXD95+zXJS9WDtRmKtWDB 0ZJsnOQmkP5HPT/dkyzQ4qgc+LWCI4e4PbR8exa4aWrpdi7gKEZ1TaG/Owt6 coX0LvzBEdu/+phIEAvYEX6bSvtxlLW0I/Z4HnX/Z01GaxWOlDzEdbkLqHjT C2O1KnFU0bZh8t0LFqhr9HRmluGoLXPx1NZiFjR9djRyLcHR0pFu+V/vWZA2 HyJakk/1HxXTHN3Ogkq3BsWweByJbhgXqJun3sefac3lQv0fP8beMVmi+ptJ npQ4jaNEL1n+9hUWTF1+KKrmgCORFgfePr5+6Mv/F7exphxZv0QK9YPWxIyI vzGONi5kTP5Pph/MYr5YrFPF0TrckO5n2g+eHpMOVYtsxIceFcs87oemu8la vvfYqE/HwJj5tB84afuxi9FsVFw1xsrI7oe4CZ1xN2q/41B+SESkoB9qh5Nc jl5no9Iipj/Xm36YNa/KHbjIRs6PZQ4wGvshLcVz3xVqP1UZVFiX8qcf3hh+ /jHLx0YX1T/0rjEdgPkrXwWmfYZRoYlbVs30AKzToLbPckPo7y+JjeyUQdg4 hrXJNw+gspNGvEkGQ3DswQcDSZl+FGocmfmOPQTGF5ZyJQcxJM041pMbOQys rXXxjUY0dGB/RJK4GhvqKj8tRwv+RE7b2ue4O9ngb8k449zcgf623B+4HI6D /am/kuHPvqA0Pmd/q50EHD6q3KZb9gmJYmU5PHUEZGn959G7qwituhFure07 AlzjFeEPjXKB64Vz8YDIKJw3j6hOnayFKxnF90U+j8KWG2npy5vb4aNitICw 9y8I69hRWy/8E4SPXVG6JTQGQ63zET+pdZ2u/K0zqHoMbgb8p67PGoSSp7Bz yPk37F4IeLnykIDTxZrCksu/ocGy+ci+pt9Q7jAr9I2LA+a7/jh6sn6DEH/V utu8HDAa1XUunf0NtU6HBEYEOGDTGP7QR54DO9YarLwT5cBTi8PSJXc5wD5r +duMuv6v+S9N55MkeEt4NV+35kDghMljjcBxaKhXbtxjx4Gfn3bK+UaOg5Qv WTdwigNUsS+WJ47Dt8YrtcZnOJDHd3fMtWgc1K4GVYh5csD/2f24/YPjMNMe lf8qlANah3vRrMUEhEVmh9NfcoBH1SM5V2MS1l9bfcy1iAMdpPl/bvqTkHH+ kgi7mANX4z3NVSwn4a2pdi75jgMqawP4fnlNAlv4ex0P4kCaokTbct4kmD7l EpDv5ID23rDtpZv/wKaKM3FXFzjwxpPTe01gCnKf19vOL3GAu+lSjuiWKVDN UJQK5SLhwLOR4k+7psDkxkxx9CoSHvPkPLMxmoLr+vHfH20gITmopvrsnSkY aK8R+yxDgtM+hVfugn+hiJB8JGRGwqG1lbx3ZKch+kmkC2ZOQggt7a3egWk4 a/Vb9rUlCbwCLdWyJ6Zha3V1yXE7ErpXBWeeC5qG2HjHhntuJPRNRJiMtE/D ec30ibVBJNBb5uqFombA4BdXRV8ICWHOtgYtT2ZAKuv89Zc3SRg3y9D7XDYD 3Wu0Vh+LIAGZd+T5sGfAkNG9NSaeBGONSubSsVnYESFmvPoZCT/jLC6dkpmD Za3r638+J0E376DdlsNz0Pt7sONZIQlmsR5KRqfnIMHu7emjpSRYKJu6C6bP wYqClV9kNQnY+atnxzbNQx/zvZYNovpjl3ez989DeZL08s7PJDhXqhTEn5oH 7+Xx6LpGEjqO+URJZs4D/Xv8U95OEk6+8KsdUF+AyqgZ984fVL4DdlnwnV6A pINn5HN7SKi4rVPqE7UApvkq7/QwEpgB1lDFWAA5h5QgkX4SPG/qGM8KLgLP hmXdgUESWmY+jOvpLEJV4Nfm8BESQk19yuzyFiFFWSPecoyEHY7Kf0UYi+A7 8NhamiQhOzDrcK/4Epil8klMTJBQmC6gUOW4BLvNvJi1UyQUeUR52uYtAR93 V17CDAkf7Q84X5xeAlbZQU+XeRJ8WU+NLOyWodozd4/qEgmJSkf3tnUtQ6qU 4N+VFap/++Tm8qUV+D+1Co4I "]]}, Annotation[#, "Charting`Private`Tag$2601973#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjXk41XkDxa1DKbJENVSuEmFqqrckOS3KWGpCpSlRhuZOvdMiRmbMUNFo scxLtis7heoqCaW+RkYLvbay/u61dlO4X97Icu/93fH+cZ7znOec53OMfU65 +SkpKChwZ/R/T1+46JS+OYP8FsMNq7K6iZF1pFXrTO7pmjeY/GM3+VlZ24T5 isG5+eGeAfldpP6/yQt61jIQS7+fyhwXErMUjqbImgF3e35HnZ+QhPkVKg9u ZjAnUiMi6YOAtK9eN0W3MfD/euzLzb8IyBpphXjMgUF1nd5OEz0BufJ8R/+U C4MiHcnqxSUMsfXyqFf2YBB2y7ZCUY0h1827q9U9GWg+S7xk8bCTiMe4j+Ye ZWDL8zW4ze0k6Vd/yTU4wUD/bRNVa+kgk/uVeYanGfTfL5dsie0gezjXYo0D GVj6zvG+4NJBlMpv/GoRysDT5/Z2z1ftxE9U6Yo4BtHPe5aHtbYRi61q7LHH DHTW8fpfm7SSooLCFW2VDMLFh+tuDrWQdXp7XB1rGIRMGjg6PGwhtu+Tciwa GTSMJsbwnVvI7qiVziMiBgFP26nN72+Jf/uupGAdAbboHrxbIG0m5Wfi11z7 UYDpKtXHxdsaiV2ntafspACWfzTnxC1sJFX2goiTAQJkXIqyLx5pIK8MTNv3 hApwK3VnVGF6A2GelIbOvy7A0AutzgMKDURhdmddWuXMPry+ySzxNXHIMv7h noEQdYN5bLPqS7IuSdO0xlCIPX94j3149oIsjZb0dxgLccD45axNF16Q6eC3 PiqWQsRqlC+4Kn9O7rhe9vLYIkQFl8TXSmuIruLoPhlXCFvbT+bLFP8mXd6V 9o6PhLgmXK7/wPIvEmTkzenx7MJA3fKxsYFiYjm0T6N1Vze6J+W+Vz4lQldr RL16uhtl72bPG7tNoEJ4fJPUHmTclX8006rFiXWP22c59yI1jr/T5ttmFDr6 ZDz93Iv+3Slp6ZVtGB9cNE+U0IePxw4+bS8QoMTdQTnevh9bJiFK+akHod9E pD8Q9cPjHj+2tbYPxgKntuyId8isPK2fpSuCzYbw+IVrRLiydmR19MUBeC6u n1JsFsGCOWJwseojxl9F9Z4+/x43xXkHayyGkaTiFeC2bAAXEuKOzOZS6ApL spSqB+D/rlrybe0IVH87v3fjmQ/4bM9/cHtqFAr5XvxenY/wrfJxNdL7BP8U fpTODJezRXwrwGEMTywi1bVPDiKnrnRBcdA4tJ38LS9oDmFq3D1kaeJnMFYN zcEVQ6i2OWRe+2YCRWlY1u81jOihBfVNqlM4zF+vbcQO46nl5TLtzdMIi8g8 zxSIcbb/Z7fUXAnmBqk5Hb0jRlBBZ8PSQglSuD/piPhidOl5VN4skqDYeWM2 fSDGp+Pv5z15LIFIu7FaiYjhWaC874smCZzTFNTNm8XI+9zyZpFcAv1S7+hA iRgXld2s/jwkRfatv/dPy8SoUbfsDjwqxeoUiyWhChT/UVTZ7/WDFI6/TfAj VSnUwyZrbM5KEbI9ppGnRZEjqwk2uSpFb/1TvSoTilclTaefPZbizoART9OF ImvDF0Fvl8oQeSPiiHA3RdF9TuWXZjL4ug0vv+tK0RwmDjy+SgbDioqiXR4U BfIqRY6dDFdiDtVc86HocrfQV/CUgbs+eXR2MMXxlVsjS5JlsB9UKO34lSLo +WKamSnDkgxuSMHvFGvnTETz8mVomWWt5hROwbcI3FFWLsMOQYvh5ZgZ3vzc rNwOGTjhet+o5VEU5v0vVbiEBWsdMrf11sz/fd4ZkRmL9uG+prxCiu1S4Ua1 NSxiPYoP77xHYRV+vTPJnoV8pdvZiAoK0/s94ytOsOjoKrfeRyguVB49xwlk 8TDemF1WReFx7NQm+1AWJ9mRyOrnFN9lu79Qj2fBNMakKTdTNGgML5AQFmWX Jr5vfkuRYZVZEVfLIn6Tt3l2G8UoX7g3qJWFc+5XD7YJKXiDdGLrCAvTgwnB Oj0UXLKy1U7GQkmLtevto7C54RRWPFuOR+devzz/gcI7w77OfYUcCVb/inEd omDteEql6+U405u615hScJYm5Ks5yOGSqLJodJTCnTd5LPyAHGYu/+6qHKP4 q2/EL+qEHCqKb3JiJygO9gT9WR0mR3fJpuNHpmf6ugy+X7IcFcezV62WUey8 Y8rJKJMjcYnGuFxO0Vk+mn1OLsc/olJ/jQ== "]]}, Annotation[#, "Charting`Private`Tag$2602020#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk4VPsfx0VFCpElImXLUnHLLZV8WihrllKSEC20qCwVCRVdSnRLsqsk QqFka+qrrih7RNGZOWfGzMk6Z0gj2/id3x/n+T6v5/ku78/2Pit9zrocExcT E5ulv/+v2apqZ5UNMDj12VOQTRJIwyx2zTear9bksA5psNEFCXltbC0GPdTW VT9z2ai1JXUpez0Gb/kXysN+sZF+mpYsaYbB6qKdIbLGHBR1rFBicCsGo5p/ PWrz5qBuE9MJagcGzY5B+rrxHLRumsEf241Bl2ZaxbeXHHSz3oo7YY+BjlN9 haiTg3rvtnSLnDEw0r415izkIHPPA60SBzD489vS2UWxF903IGqlPDCQvHjc 1dOkF/HH/KpljmAQZuJe/9a2F2XfCstVOYWBys/UD3aXe9Gf/RLp6ucwiM25 59/4by9y0oq/szKEvu+f66+t8nqReFXmZaNIDGzvSZvcau1Fh6L1zptEY9D7 gZwfwelFZY7Fx/+Ow8BFUrSGMdaLjpE1znAPg+3RiZijChe9K7XZbZmCwcCn 90aMVVykfKXd3CYTg6GhK92PNnLRpyXcVXvzMPj+b/yRSVcuMtouKTr+BoOJ GvH1mbe5qKSgcNX3GgyO/udYVJTORaaKTs42dRi4NdaOHXjGReY/U54YfcEg 2Ol+4f3/uGjPbUM7AUnft6aJqTXGRe3CluAjQxgsPik6GjfLRQe8g7LaRzDo Loy9UyDNQ97rGSNl0xisTbSMWrWChwK7HVJCFZhg8nrKy8Gah4Q7Rt8PqDDB 726/fJMzD10uSh48pMGEXFx8UPkQD0VH4hYW+kzwzNdKVTnDQ8m653niFkzY XKDJH07goarzSevi/ZnwxfiE4WwDD1n8MPOYCWDCBrtdKawvPPTBkhkTEMyE RWvLazK+81CDil63UyQT7ghE9pU8HsLeVkQq3WdCmV2LRJSI1rvK49mNNCZk fTFd7z+XRLw7Yh3j2Uz43b4tYoM0ifi+Nno9BUzY5en5JFKJRGLSP5qyamj9 37Y39hiSKDooUihXx4QVbXtTfxmTaAFTe8XVRiaskVoVM2ZKIoWS00G+XUwo Ev/pX2JBIp39IlX9ISa0p2c9WOZMot2PV54oVWHBgpGwQLlAEpmmyOrVqbNA YZuP84MQEq1ImOL2rGSBolq0vlwoiSZDO33mrmaBuy8jszWSRM+d4zwPbGOB jN2OM6nxJErbfUHjtBUL5gqvsZ8mkujGVl8sypYFFl0m/bl3SeRtsNW9YB8L 6ooMToamkGjJnBHXGT8WLDxfNx2WQ8c3zlRUCGBBbWkwS/UpiYaGGjr0glhg +m9OfmE+ieq+P3F2usICwqU7Mf85iUJL3Bxy/mVBv8+ZFwsrSHT8qdWiymQW XCsWsqyqSOSSsa6xKZ0FR5/mKwe/IdHq2EU2wlxa36SLxnNEItyrxtKmmgVT 3lOCpHoSNbk+l/BELHA61fgp8DOJKu3SPgTWsqBHISjdqpFEdzcGb8toYYFl tPPDhhYSWcnpm1McFhg0ySi5dpJo3TylKYk+FtwV/lXG7CLR8qk51UuHWfB0 yE/T4zuJ/pA/Nu4YZ0HytcGqzT9IVPgucf39hTikRyz55ypBopSy8NFni3HQ 8a2Wf8Om61vgX/pOCYdav1KNQQ6JPJN3Gvdp4hAmEJMx5pHILt6EP62DAzI2 Vd1JksjsmsZzeUMcqrXP/3H4SSL5gHHDLaY4ZO9UjbDuJ5HIl9vvuAmHRV0f bM0GSDRw8Ev+UQsczt0WbtAcJFGtVaFegjUOlSF6Fe1DJCrdksJ77ICD14wo IHuYRFl/xTypcMEhIkkjwZdPoosaXlpsDxyqwn/saqdI5ONksh87goOpfyAj VECiPdfn3Px2HAdxzn5j1RES6fXnjDSfw+Hrqz6bbaN0f6qH6H4OwYGTf0Hu E80ze3YdrA3D4dkbJVnrXyT6WtZXUx2Nw4D0AGUyRqKan1Vjr+NwEEXaU6k0 F6rd0i9NwKH7obr3FM3JDh4eRfdwWJw44uj6m0TXotbcyUvBYfXWv5ryaA54 JfrvcSYOTcfkOaM0HyRbxzMf43AsPCVrg5BElqqPjFLzcFBPyZINotnEPtAr qQiHJ24tFvk0q0fuvJdYikPSx9wtXTRLvlSsv1mOg5L+RfkZmke5vMmYNzi4 4f5N6uMkYqlUrL1ag0O78eVLf9PcYBvrE/4RhwsykSt30/z6ysHkiw04LGSv 6HCm+WGJYUNgK73fmpviSnN879TMma84BH7VjXCh+ZJy81/+3TgUMJYlWNPs a5N17CgLB9/kro6NNO8JP5vq1YsDNmeH+wqaNxdva3bvo+vrqrtanGY9jvyc /cM4lFjq7GPSeuWVek2dR+nz1xFWSvP07jI/+3EcyKOubZE094XFZOyexqHv otam3TQP7DfyeyRGwJ3lO1ZK0ewtWCKuKUGAnnbx3Q90PrviptMz5hFwzcby wQWa7bR5f6tJEaDDZJjp0FzDaG59IE3AcvPXUY10vTbsL/dXkiGA71l46TTN WnH/ZC5WIMBH8Cszna5/ita5jQmKBLiNvGAa0CzLcPuyUIWAdV2bRkvpfpng G8yTVCegfIH722K6vwJiFbKjl9N6bl+K0aWZu3LKTHwlAQGWYVb36X5s29d0 ekaXgD8nVFp96H7dxS+bf1mfAGmlU89q6H5m/JP58I8hAUvtlmQupTmvOuDr L2MC4n+9F5TT8xCxQt58YBMBo7qyq17Q8zRWNdF5wpyAokKDAmYfiU7u5Zzl WRCgZSqKlqTZ9carHGInASl8Dy9bej5XD7ku/OZAgOm0wfnb9DxX7rNHN50I qHuwoC6Mnvedb3cEWewlYIOLSfkR2g/cE4x/5LoR0KPfcFOdRaI4kwWFwb4E KDj+EOzqJpFi6qyn/nE63t/ui8Rpf3k4R6iA+RHwfXP0vArafyrbOWE7AwiI fW5eIvuVRGQww1YhlIAd4ZvehdD+Fch8Kfp4mc7fdFaWWDM9f1bPXoZGEKDM 3p4aQ/udokqyGvs6AV1jwokrn2h9VWcHihMIqJWpW2PwgX5vRuumwxMC1r4V WJ0to+M7rmoxJ4/Onywxm/WSRBUtcqNlzwgoyTpi8bmERC3Z0wfViwmonud4 RIb275ntXQaDVQRUzvvE3ZdLx3sj7nNsKwFmLCeCl0T/H+QEUrWT9H264u9N z5Go/e3Nf2xm6P1DHUT/GdqPT+vOb52l88+925h2ivaTBneJnrlsiBVsXiw4 TnPMxxlKlg1JbUZVfodJtHgqbXSZNhv0/j0Se9+GRIt+WmFBdmzYo/w789dy 2v/vE+4TDmzgenvE6qvT82d5uTvCiQ3lBwxzDqqSaOHjkq44VzZ4NswGlywh kfThZV+yvdhgkhHZaSJFIqkOwcfGIDbcvJjxLULAQ3NRerF2BhuOY/mWR97x UI+5pTWexQa11ts2P6p5qLh6iEh7RJ9v+27iXMFD7uVbFRTy2HC3516pSQkP lT7Hg8VesiHjhFT9u0c85JmhvZlZz4aX+NlbqtE8VBlaWJv8iw1ZQ2rVPVY8 dMr0TfcCOw6cbLzHmP+Oi2raOosqHThwTl+y+WEVFymdEUSecOIAoZZ8auNr LkK5unofXTmQdcnjoHsRFy1RuRMY5c0BTyFoX0zjojcTRxeOh3BgeVR5rcwF LlqIZLdyH3LAoxRzqTLkokIbn4fvhBw4KorSdbnZi34Pqi0mk3uBcdqTFG7l oNd7d0skWXJh2itaxiqPQJHWMdllJBeW9oT/HJZgoZVM2+85MTwwH252S7jS gzZvjE5SXUfC2OwKMRfXLuSxvHViTgcJUgKxTQztdvS74Tbn3NWfILbBKOzS 5QaUMtcz2EWnDz6tBfxUbg1awnr9WLy2D6IajG5Y2D5D865c3bfpfD+sCG2P zvnvKYg98yzmKAxAilxiSQTjPQSmFd9W+EBzrrxjeFMrvDWKlZIPGIQ/vlaY qs83kLcNXH1NdgjsZzUGnf+wAFvT1hHKGAKLvOgGt9leuq9Bh+s5DNKYsmHD iz44XLxBXkM0DGMu689VsYah3P2PbJsYH9K1tF4whcMgO7960XUJPnhukmyT l+NDjcdWqX4pPhSdKt5YAHzQkracLVvCh5u3hseyHvFpH3Yetjfgg6TvwLUy PwoC1E5/Dt/Hh8197zV3XRNA3cc19cYH+NDA/pt7MVEAmuepWs5BPqi8PDry KkMAbfWBNdZefFhXI2tlVyGAdSGhFYon+fD19fyrE0MCGG+9kVsUyYeWH5t0 T7mPQFTMo6tYAR+yTNZ4BlmMgsxFSdsjz+n3NeRIfftRSPM7o0AW88Gxe27d wMFReGW3KYcq44OHtJJyUsgokPJfasURHxhaL9qjno+CXZaYlEEHH7RlE0Z7 NX+BcoVXQsgUH3TkJAwkF49BTv7H/ZMzfBAN5lxI0RwDkzQjzUgxCpr1E8XM jcfA5sp4cew8CroZpzur94xB+M7EL+lyFGx+bG6WnTAGnNZ3ih+0KRD+tO7e pfAbnvdppMvaUxDXPnTwpZEQYjNjvFl7KHikTD3z3iaEoy7Dui+cKdiz3N5i g6sQ1BmMEocDFARPawndI4VwM/FQXbwPBV8TlpvmdQrBb0PqiHQoBfsx9+9u t8bBclCsoucyBZcs/F3m5YyD5kO/8IIICnaFeRryq8eha4GZpG00BbzVSzrD B8fBitmlHpdIwZWoqZZGxz+gFa1oLfmUgvrJWZmHqyZAZBYu8y2fAvFXd+Qc LCege7i3/WkhBTFLD1X7H5mAOwdeHd5VSkElqf9JKnMCZg1dgmIYFDTciHiR rjYJPXiVmSui9Wnufnl1yySUJ60U6XygYJ+ffKHS4UkIEAlia+spsDx0OurS 40nAviRmSXRQ8Ljlqx574xRU3hj37eikgDUeOdjvNQVJW7wMcr5TkDLfvHxL 3BTY5a4t28GiYG9s9H4nYgr03JNDFdgUeJT3NJ6XnQZxOZEFp5eCT+sk0rIs pqH6UvPnq/0UxKvbTAY+nYbkNX8nOg9RYMIvVF6IT8N5Tsa+lRQFh7UiXxUu mwH7B3PVRkYo2E7Kl/sengF9+9N4zRhdX8Rvbs+dgblzvj65M07B2mXYg7Lx GSBebznpPUmB7d0bwx5uImCczDE2maHgieJ76fhOETzQXPh7dpaC0hGNbZUz s/A/Amu/tw== "]]}, Annotation[#, "Charting`Private`Tag$2602020#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjns41PkCxoe06eLeJg7J5di2xjl2WeyxpzfSyrXIZUu5lqRWbm1s7UqZ jlx7euS+paV9RKilQxZfhF337LhOfjNM0rg0P6xLGfOb4/zxPu/zPs/nfZ6P fuBF9zPyLBYreD3/7w9d2SsT4RR2+O3PCV7hk2Y7ihMWTaGgJixCVUCRr8vj KwSxFMKnDD30FSjSoWk8cjSOwp4Hh2PvBIwS1/gO+eYECk/EJuHM8CvCnQ5j myVRyNU01Lfzf0W+8dDwKkqnMJb9oPfGAo+M1lfHfXyXgihZbnwhhUf8Pzn5 6GYuhatvP6vvMOGRN7dZ3JX7FJSbNMX93BEiDnIw5pVQ2PaU1WXNHiGsLa+6 7jVSyDYXjnzPGiYJUXHLKm3rfjmMlcZvQ2QzZbg7vpPClkdycpcuDxH1Jxei ggYpZGTpenxYHCRGXozWntl1H1Zse4dsgNj/rH/2qSYfrvlp078f7Cfm2crG bTp8mA9lffSxRj/ZnSaZ4OnzMds/WiYWcslq7ECgApuP4gBbe9MELilzu+Xr fYCPTBWfvb5dfxINuXlPaQgfBsthZtTFPiLwa7RzqOVjImf6zMhYN+nyLNvg S/g4MHS5byWjm9Q45TZHtvAR46jpEOfQTe5YRh/I7+FjbHiXeWNlFzmksucr WshHSveZEz0pnaS0Id3s7lYBFo/I3Yw50k4u6/oZjJ8UYHY478bDba0k8Kip 12iAADEmnmaizhbiekMuaShYAMVy6oug5BZiPFU43x0ugH/dv2lmSwvprxI1 1iYIsPO7K6HV214QU+dIv4zHAoii2V0pWk1E9D0n335tnS86P675qJawZz23 DrmMYTc7dGp+pJhoqMwptqyO4ZpKE7G5XgEFkldhmD+O09c0XpybfoHz5r+N bHYSwiDCZrhM4yVKHQILGpaFKArYb/2wfQBLM9qqk5mvIV+Rr01N8fDsmP2G DLsJSBR9ym4ZjyHuMOd+1eQEHtRbiAZyhNCnHIcLOW8wWPart+/iBP5lmZCh 9fkkAj87eeTDd29xclfvBznuJFJnnOeM2qaw1JEqDI9/i57tze/nMYtsBd9o dyMRfEy9jSaSxNDgP/tZvkWEtRDHl8VBc9j4Q7zHlxFT+CbY9KpLzjxYj3wr hOrT8Iq2nD1du4DI3IpU9eZp1Kjk8kcX/0L9vkRFtbAZsC/Fn9JmL0HNMZJ9 XXkWlgqPHQ3dlzFq8pIbWzeL8udaJfuyVvDkHowmfN/BP/RvUed63+NUhYWa LrO+XY/vs1FexTXOg/jREjGSPuFmaFyTQOnyJseAMjEaolZ66zkS5IZ8qz5Z IUaZTWROaLIElU5fFtJVYiS4WK50ZkowqdbXIk/ECE+0aC0vk8DpHkvxU64Y Mf62kWuvJNhR7Zd2SSJG/H3qNct6DYXFrV6rUjG0lI7xVGzWYJq7Ty+ORUPn gkuTgf0aHH5YqUjcSOPWrHyBx7E1XD2Y3penQqP/QGHE9Pk1CHsbtjcb0ig5 ZxEu/mkNZSLdPGVnGpfm3NaWN0qR+BPHn+9K4/bLCVG0khSn3d/9vdyNhorz QrFkuxQ6dXVPXLxpHDxqkmhkJEVSuk9bSiCN1LO8tGlbKUIscua3xNLYeDZi U+J1KexmWNW8KzTuirNYVUlS6BWEXC35kcaAdkn/uztSDG622uSYQGP8jww6 pVCKQ9Sgzq10Gt8W6Vf+p1UKg4Tthzf9QqNgyKdbQYkBY3VVaaiYRm5wWvvx HQxG3r3+85dSGjXJczN/6DG47V156uunNOQ/mtOSfM5Attc9ilNH49D9qLbR Ewx4gudWnoSGVfXZnaZnGPw3Q58xaqZR7ziV+vgigzBmLrHldxrvDzZXsjkM RvvS723g0tihpjpZ+SuDmpsrQdwBGr6lHLvnDQwyrP0+LRxe9wnZaabUycDp 4T+qbPk0hFF+rNYJBsYnMmPVx2noLU43YoGBvAqzX/h6/W/rqmrFkqE2prs9 foqGbJdvz6KuDJkmX6S7zdKIPZ73418mMkQI8z30aRoK9UOqM/tlcM5S0J6f pxFDOZnqusmwx/mCoHGRBq8/oVR8WgYFuf6i2ys0+kzqvtp8RYaxZ9ah/qs0 2pr2vqnOkKEutPCfplIaS1NHfdyeyZClt3VJJqNhm9yjEymT4X+3YWdI "]]}, Annotation[#, "Charting`Private`Tag$2602067#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVl3k4VG8UxwctosbeKqKSok2LEo6yZU1liyxliUJ2KUKhqFChElJalags EV4hyh5aLDNzZ+ZeqZiLZGIsv/v74z73+TzPe8495/ue5blKx08f8hCm0Wjj 1PP/e6L5Nh/3Z0AeZ4+UWjEL1Rgw4vyCGXBBpHS0zglDRi9jCljhDPCbAU/v Sgw1LlHptopiwD+RugN9NDayjGkUrollwMItYSesNNmo85ef+rZEBuT70nd/ 9WAje2sZ24fJDMgJffaAkcRGfZWlUXJpDGjOOTPS9IaNXNcdfRafwYCSSteA 2C9sRKTQOvn3GMAON3N6MMZGPDcTlZ48BjQyM8oK1TkosGXogFkhA7Ld/X9v N+Ig/s4b4RXFDKhVnyizduYgmlhvc3Y1A2gHjreJXOGg2KCocYl6BkTotFa0 3+OgBYzVq2KaGLCeIXyl9A0HSRf6BLl9ZUCRQDhuVTcHpS+TyurqZYD8ulbJ 2l8ctOJicb0hmwH6Gu2q7wUctMZ2ZpnqIKVH9p8F0yu46Cl6oH9nhPJv/FXP Uo2LNq439hXjM+AKUaOtrMVFO6eSqweFmNB4fKv1aVsuMn6gdOLVEibcqtcp N0jkou236Sr18kx4obNtU1IaF61KEuA9SkwY9zdVSMnhosnwL8fnqDMhz6p1 5adiLso/mOBsp8eEBk+7LlsGF2UYh670MWRCxNcq0fx+LorXceuLNmXCviKD F60kF7mu13HIs2bC6HzmtnNCOJIRGrGZ9mKCoGRX7UNlHNH4DFlpPyY0jx0t vbABR4ODjZ0qQUx4+EOrRVMDR/XfHx60imRC9pZ4Qm0vjsIL7S1yrzPhjodX lr0Tjlgu1QYm5UwYguLbl5Jx1GyTL+KMKHvTO5PGaTh6a5ZRE1jHhAvmWt8G M3B0QzNYL7OVCTRjU9P+RzgylFDVJjlMmNtZJnhcjiONuXICkQEmqJ8t0MtA OFIQCJUvHWLCVNsludA6HP3r79Xcx2eCu0KB6s8WHD2vSt6WJs6CT/R/Rh9Z OLpdFDH6TJIFVbbZZ8RxHMXmeb+qkmPBR0vMTmsAR87p+psHFFkQGmweenQY R1J+/A17trPA4oGu+LtZHIWtdFFmH2WBzdMZQ6UVBDputcW27xgLFqalWG1T IJDlRaHEb54seCyStXCnEoFUfuaOtPizYHHYE2/6OgJ1FQ1Ul8eyYF/OfBVJ DQJV/ygbK05ggfpPn+352wn0fPkV1VdJLJhwDA7V1iTQheiNKU9us+DMVM9e DW0CbTEPdEl9wYLxT7JnogwJJB+lfzP5FQtuxH958dqYQPNfyzYklrCgKc7a ttuEQMwlpZtiqlmQMr3itpAlga5yBdO+XSzwomvcf29DoDOLW7Z6d7OgYu+A WaodgdxMsj3cmSzY/aAj3PEIgbQK9FocBligN8bqbjhKoIGzcZnGUyzIc1mK r3Aj0C9bNa/7NAxuGCj1p7kTyHVYRlhRBIOkY6UH53oSyGw1sWO5KAZ6hXdb 67yofCta2m6JYRBdqS0jd5JAO21LvOUWYUCTWKLqeIpAygmXsiSlMZA0kVjz yZdAt5X9NZNkMTCYZGuN+BGIXmH/WXwJBicXOcVI+BNogrd+7nx5DDh1a/5t CiRQu3Wzz/RaDCy/yP8RhBDIiFc075wqBolFMPwtlEAVl7Jy/m3A4Gwj/jEv jEBPyv26/mym4jPAHXeEU3pa2/kFaGBg5DdXZ4jiG0MgSm7HYL+6lnHmWQKd XyWl/Ws3FR82swo7R6CxsokvJ7QxmOzCZEMiCHTyMOc0oYuBfHXkWaFIAmGD jQvc9mIQOmTsFkexTfybXEwfA+GwUxjtPIEaFTN1nI0wYDa3CQdTrFcW+613 PwYvNJb1MikuOeQbcMQMAyuNvPC9UQRSH7QR/2aBwdE5j3h3KX5rbY4SrTBQ vzzyY4xi/cp9QbqHMXDIeepjEE2g1rW7143aYKA76JuSSLFD0ubeR/YYVF+6 6dlAcf/42uQjjhicwVYICygOdJHXX+SMwdXIdyFrYwg00yDNr3al9Czv6TSi OGHLgufBbhhYB9/a5EKx7J1ZZ1VPDJzz62/5UZwjNC7d54WBn9L4qhCK1U8O 1iefwuDpZ9/eQIrfdnDO6vthsDB26/cTFBvs6d7E96fi2SWsak1xW24bJy8I g3lpLr2aFDssrE93DsXA3iBBWIbi/uAKU+lwDPoPROcT/8fLeD3z4RwGmI/o YAHF04bPXoefx6h6ftYSQPHll/c8N8ZggD8oOKZGseyS9OXsixjQGzaV9lF6 5URdbU2Nx0ArSIgR97++Axcu7E+g9FRsYqv8r2fZ6V8FSRiMhdW+t6Luo1XJ M9vtOuX/9Kaybuo+HRKPHlqSikGVtPhHB4oDHU3Kz9+h8slxP25I1cNMLfhp ZGIQf+maaAFVLwnqO5X7szGoG40RSFKcM62caPGQ6pfFyoJKqt7UPZfpCj2h 9M+ar7SA4tJWidGiZxi8ndhYb36G+v69qSPyBRjUPO2sqqTqeXrv1/W/yzCI yLxdZBxE5ZvXzMiuoOrLvGmVPdUPsjK11w8hyp5n5X0sgPKPF0yU1VH1pCLy zvk0FX98wqfLbRgMWk8kzqX6r58XFandQellVD2H6U2gALvQrcNdGLhjz14W UP17WdXtjl0PdT73cLku1d8ljdreKgQGscf0qhYeI5CMxLBo3SQGr0UUL/hT 86WjMvGSyTQG5QPHzAWHqX7yWTuvbRaDQCP3R9GHCCTd6CDSM4cNV+nLFM4d oDjuwzRJZ0NVuRdrMzW/JAUZoytWs8G/Rkk6ew/V3892BNxfy4b95ucru3YT KMW+nVRRZcOqNVlH5u0ikETJ3KGtGyl74bCzDtQ8pQf4/zDWZMO8m438enUC Lfxh2BdkxoaloTsji+UJ1JyGOUxYsKFkHCvOWk7NR4Nz3eet2FA95a8Rs5RA 4g8KvybYsKFioYWYliyBxJxWfL7nwgZLjXelQeIEEu0c/tAUxAZruUUCsQkc zUF3C1ZnssFZq+RGfzuOerQN9rOy2TAqOnxvXiuOCsoHsYz7bFg86VOm1IQj hxIdaeknbPh3avdqkw84epXPCqa9pr5/c9bCqYzaR5mrtRgNbJjK3leZnUPt y/Dndel/2DAmvn34/ikcJfEPOx0aZ4PqD5k4NS8cuYVM/V00wYbgnNncQnec yt9iXdwMG6SVQ6/lU/vYw4tMCFrAgQcD904FHsCRtN22A1aKHOi46LFajdrn p7a/615gxgGFbsdU3zEuqm7/8uKtBQdaR2NVYoa5SM53OOqEFQfinyc1pAxy EXq0VuWDDQdUC4X1HuJcJLMkJTDalfLvl2yR2cVF7ybcxfkhHMh4dAvveMNF 4oiug+dwwDbgr4v3aS56bnI8p2qcA9rLLTWe9XLQdnUlXZjgQGBT9fk13zio io71IgEHjFwefczs4KD2Tqcl72lc8MzMOBL7iYPGnI4k1YpxQeFsxvXNpRyk G2gV8VGBC8ObtZz516nzGbr2HUZcUDVfs9rakIP+/l4u2Z/OhS4j/+Vnc9mo +LCxSKoBDvTXhlWdChiK2h93r6gfB1nNdRruEgykxDD9nhtHwMd1pmsnc7qR lmZs6jKNfmimsd66JH9BRxXaJoQ6+yH1/ArXY/6f0d/Gaxz/mB+gqtlcdX/X J3R7jnPwoTUDEG2Z42sjhJAMs/iBcN0A5DR5Wz1RfoTmRsZY7w74CXoletWR 0XlAe+ZcwJH+BYV6j+8VpdZAYEbBNemaX2C1753kO6N2qFS7LCrl9xtS8/pZ jNJvIGUaqH6BPggGG4zFrhqwoG9je2d4xSDsc2yzDVmFQ2E2rMGdh2CXCeO7 edMAOBXslFo5MwTpioP2L8aHoMThH72dxoPocLmgCjoP6PPKF14U4UGJzR+f PhUeVB/VEf0pyoOwqDNh5nY8UBYzmC2S4YH+SUJ/+C0P+t0PDpmv58G1l74i blEk+C33+RRhzYPa394e/64OQ/2HjQ2bKbujzpOVihnDoBhA1nGO8ID/Icvx 4JNhaG8IrN7vwoMjjYK6zvfDoBESXip7kgdqixun7fjDwG+Lf/QiigdT4Tkd we4jEB13P6YvjwdipcE1bcajsChsvumxfB78cpwUPmczChlevtL9BTzILNuR ruE2Cm/MdueSRTzYcNFFu+H8KPRLfa4TRjxIH/jpmlgyCmbZNNH1nTzwCjfd cEf1DywudUkKEfCg2S/hEH3pGOQ+/WA7Oc2Dwy/kwlPXjcGWDDXFKBoJBrtr O9Q1x8Akkl9weS4Ji7ZMb0izHYMI/eTPdyVIiKb/VjBPHwNOW5VszWoSUnJ7 WOnL/kL+wMq7dHMSmn785uhqjMPlrDhXpiUJsiV0AdNoHNwPDa19eZCEt3c9 9j52HAf5iopCCzsSdjntX/oybhwSkx3rrx4nYZmbtB/qHQevnXdGxMJJiDOU /Pc3hQ8Gv2mlPedI0L2XEXnjKR8Uc7wi8s6T8CVNUudUNR++Ltg13zSWhI6Z h4bdw3wwZHyVT0gm4ftmOTph/Q+UY2X3z39Mguk36Tvr1SdgZlfEom9PSRi7 kJJeu38Cuoe4HY+fk2BbbMdv9piAFLs3TkavSHh9cVOKwf0JmN1wKCiuggRC 3yIxVmESelhlu2wQCfp1gQxrmISSVKWZNTUkPCyUL+lwnaT+G4cv1zWQEBLw p3f+40no+5ycLdJJwoDQZ6DvEcDbeL5b5xcSPM65Fk0dF0DqHpf1ud9J2GAa ZrftqgDMHm0q2sck4f7OgQo6VwAqDunh0mwSeCbmLCmpKRCWmNHlcEkY1FpA U9w7BeVnWj7F/CTBCywXFTydgvSNO5IPDpKg8PEKW4k9BQGcTGslkgRawM2L GSunwfzWnOUjIyRcGDdUWucyTc0RH1b1GAmjKWetPJ9MwxyhrocpfBJCB8I6 pSamASvec9J1koSJFuX+8CMzUHEyd/OWaRLYV1742HydgVuK4n9nZ0l4yfNo KZuehf8Apf9IEA== "]]}, Annotation[#, "Charting`Private`Tag$2602067#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVk2lU1PUChgeQgEhWFyKVy1oiJAkKBqeXlJBlpFS2WGYUlCBJVk1uoOBl NxaNkIuIEOBhSYHLmMj2I2SJDsgmDuvMwNAwyPIfFCSZ7dqH9zzfnvN8eQ2D Ik6eU6TRaCFv9w9tI5cVrjVycKH21tk/H0wRLrPdybWJg+JVJ+MvNyZJn9d9 JQbhIL3qp8JVxUnS6F7YEd3JQXJaop9K4ASp+DwtKa2XA4Ztmv2O0XFy0zbW segpB04mEd/5M8bJVcsz8rqRt/6s6WzLV2Mk3NijrWuMA6uOaMPo3DHyheZH DtQsB5e6M9jO02xyQHm7WEnIgUg1Kao8k032iBWa9JY5sAlsXaqyZ5O/BZO2 RzY4oB8IL3l87zmpacux/lmdi5uP2DHKBaOkgBX/skqLC8n1/CttvqMkuTqs vm07F2er8noW9UcJI//ofqEBF7HbF8j+smdE+8KGub0NF9U/HLy70D5Cvt/N NJoJ4EIm3yHfNB4mQV9ZeU+d4eK9V2Y9DmtDxOM/CpnsEC7mqgsc3ukaImYL Zav9kVx4/jLc8X7oEHnGErY3JXNht0b7vKlhkFjRo5l5v3Jx2X3ZeKPpKRH+ O6XomISL0xGvlkKHeskL732hpTQeeDdY/ObUXnJapKtooMSD1rpGeaxDL3E3 /uugvioPvgk2lRpVfxCjjLQ7Wjo8DNrEG9Sk9pBBz75wqSkPejNq/qITXcRi yUudfZwHUUaFefme30mjJ51kfsVDSf/OCDm7nRxtPRLz2SkeCm7yU+7caCd+ 2fsnK3x5CP06THBHuZ1kWKnVxAbzEFkZ52Q200oEsS1uOnE85BZseCiVPSYl UqPM4+Vve1u0fteLrSe6miLVzk0eaN1pmqxziWQLuV1rXDSDwfGsLBX3Rpy3 aR5Xc58F7cvLdp869qLGNaik7fUsPA0rFiWVw1hf1NcS5PPhMtFw0Ux1DA9P HVPKc5qDUz8/T7diGlddUu6yBHMIWZswReAMDKfdxspS/sJP1n7Lrn18fGqb nPf+AQGG2EGKusECBOwZeKMwIkCEM3/qxhMh1v/Mmo1Mmsfr/IxLsx6LKNjC iD1pIsSVLtfgI1XL0OU8/EWxU4iQnf/LNF2joJyQ5Hk4agFLT3Z1H7NdBa2K UTur8wIle7/uAfMlogtrs3Q6XqC+xjBMo/QVWvelq2pfWMTHO9ut47hr0HaL trimsQSXK32LR997jSnLwZG4liWUD/vTB3w3UFcMkznGMvyEznrBBX8jsPaQ 9m7ZMpjid1RXOW+QmFKaNFW9AovW+cvmfmJs/V7F7cz9FYiyKwWbTDEKQ7/T EdSu4JRUj/b0nBgN7ofLKNYKrp3y8ImPEkOgPdSpSFYwWSFJ30wXw72Yprp3 ZAWRNvJdKY1i7HjEzL4oXkGYW7i9gb4EZZVd3pvSFRxmXRH5/ksCq8J9Bldp FHbYTz7JN5PANWGjNl2ZwrzbTRUDawnij+YM3dakEJv5eCGYLsHsQNu2DmMK MbENMwNXJbgv3H1bg06BVZFryH4hQfqdlNMcDwr0AGeXrJcSnD25bPrgBIWD a+tV9E0JdrW01B33ofCk8vpWoZoUmTn+3T8GUdC6PhdVsFeK0EP/XX03joLg V681o/NSOC3SHk38QCHBX900J0YKg5LQ+OorFALMR0fU4qV4rman4pZMwaFW XmaRJcUX0893ZeRQePlNdKJtnRRGydtcVO5R6DuXHi17I4XMLn4ru5LCkGKr d6mSDOPL/OF7NRSKLn2Sz9wqQ65PQ6BzPYUHA2c41oYyyM1PxqS0UNArrgw8 7ybDBPexnReh8AHjXV89Lxl+yzOUmXRQMHBSCBQxZbggE6V39lDgdxnxLS/J MDWUU6w0QqHZUbf7eIUMjakbwSOjFH7UDOO318uQZ8/cWzZGIftwgE1qmwzu FR+zjnAoPPVKYFqOy2Dmlx+nM0PBMdt734fzMihqyj6b5VOwEAz4lK/L0HS5 vzdpgUJ/zJhJ4jY58i0P5pxYouA7/2HzB6ZyRM0WeRpSFL4J+Lmt+ZAc9Ftb 9FdXKfj8xhKUu8rxET2c2/72B3Vx6nWODDm2KDwrz92g8JqIHjpelIP30P7b 05sUQu6W+shz5Gj5tmy/lZRC0Hjy5ma9HLcM1NflcgopjAep5+Vy/B/immOo "]]}, Annotation[#, "Charting`Private`Tag$2602114#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlnk4lWsXxlGJzGOOlEiKJkWDkpWoI1JCkkKhjkwhOkSJyBjVkVBJGUrK UKYkD2UoURuFDHu/g7nsV+bZ93x/7Gtfv3c/172Ge639Pkr2F83O8fHw8PzB n/9/7/QY5A0uZoNsbZTP1yOdiGNXbnCohA07amy9x2Y7Ud3xV4tsERsqJVJf ZzazUbFx0gevSjbIKSeq9p3loHS9sKCwz2wwKwqaUP/GQXd3eu97+JUNvs3P ryTJEChw09mF3CY2yIzElrfsJZDrmiNlVa1sGBAIiW47SyCrv/Zcbetkw36B /SkJwQQ6ILZeh6HYYJN+5H5hCoG2LZGZWdTHhssyGfKZpQRaNcNbIjfIhpgn Xi7VzQSa7GnfuX+CDc9FN/dd4SdRd8encctZHO/4b72LCiRqbCwocOHlQId8 jPXRrSTKKovVvCfEgdhl9TG6ViRKyA8YzhTngOq7ooN+ziQKeXEhr0yGA/tu hj6c9CeRbbz+lj5FzO6eX+Yfksg4WoM7q8KBqixnseSXJNoVvPKVhDoHdAg3 6zfvSCThPqG+R4sD/kaSAg6tJJp36Oo/qs0Bwws92cI9JBo42fDcUZcDviKq KsYjJKo8kKUaY8gB10u/4h8JU+jflXbK5GkOjJSqDijuoZC9qYZlx1kOLPNc 96PqAIWO3OCNbDnPgeHovlxVUwqp9qf+qffggPPWKA8VRwp9z+8rLwnhgEGf Y6RFBIXKe9+OFkRwwMpXS0DuLoWy5KPW58VwYMn3JznPkygUfH3T7WcJHLC0 DNq4K4tCGoe97OJecuDyJ/eP2rUUUgjU/y82jwMvtLo17zRQaOlr6ZrIQg4A vU6qopVC7OVFm4PKOTDqJBuQ3UOhaHpmzu07B0LKbWvaeWjUdyX04d+z+Pfj Y506W2g0YLnB6QkPAWzzzUlhWjQ6MyTFp7iIAK9o0WdF2jQyXtO9XV6AgPH1 kX2f9WmkHBH2SFySAMtsZfcqSxolKHvsjJEmgC+EvfvQKRqJllo1CC0noLrL yKjQjkZTXLUlSxUIGDa07DBxohHLos51bi0BG+080FVfGh3k5vP7ryfA8J5L tmUAjUrDHqVMqhPg+MiXXnGdRs9K3L+PbCEgXyjVxTWMRtdWS+gMaBOgq/sj ePM9Go2+nfrxjw4BCf/663sl0MjZnLrYrUtA8wqNZ2kPaHT85ptUQp8A8Zw3 ds1PaLTx93GhFhNcz6eDrt6vaFRscRhFmuL8O+LULubSSP/9/ku65gTIC30o OvGGRtYxW9rTrQiQvjpjOVJMowgNwSxvBwLaNhbnnPpII+nEBdv15wm4Mh8k XldFoxTecckOJwIGFO/v2PgJ6zdSV/TdCSh0eJxTWkejHu9SI0k/AlTu9cuo /KCRV+fr+Sp/AiZFeFzlWmg0dyDztd81Ao4I7l4934r1l8fLkzcI8B10PJnc gfUDo7/G3SRAh+rZcZKN6+kLDjaMIEBUDq3hJ3D+by8O5MRgf5x6G3bQNPqq dD7Z4Q4Byo83dJV04XoiT5stjyOAulz6bGsPjn/qUMm1ROyXHrRP9GH9OeVI kzQCFLqahwcGsf75v3R5n+F6dO7GCTA0KvoqNpyfSYDsw8zF8kNY//HsSYUc AmabFlhyw1hfYESElUdAXcUWV/4RXK9Hf8WNfOxXe4Z5H+Y5vWa1X28JkBPO uBYxRqPwF3WdyaUESPLZzhqO43qlPt4xQwQUZ1XunsOc4v/2AP8HAs6fv3c8 YwLn05Uz9baSgKRcfieDSdzfwxmv3GoI+P2oProFs37Bw7NKtQSUbVJi203h /Fb+J/OjjgDn0Pc+nZitb0Z8Dv9GQIZYr6vpNM6PG3hVp5GA50FuHcWYPU9c 3jr0nQD7muwO2RkazSLX7tQWrNeSGOqMOXy9Q+KJNgJKPPO4bzBL3zlpItRJ gPVH0S0jmB9PHeVFHAKsZhxs1s/SSN3+YIEXRcCq6vlYc8yFtToXVLsJOF1U 2+GNeb+m5sq2XgLUU8xPRmOuf6DWcGsA+99UI5+E2Wrx6lC9QQLSTkxvT8bc 5SqrPcYQkCt4DiVg9vghPPh8mIDSl+pfIjDP7l305PQYAR6/5dw8MYdnTFmI TxIgcPRF8VHMUmJDApXT2C85gQoVzI3vI8MOzRFQuXrcZhTnf9d1Lf+3BRz/ kItgKWazFeUhFnwkfH2/v9Efs2St9aK2xSR82qZYo4m50XcsyG4pCUfEXMdp 3L+7627zdAuSYBpj6x6NWTK0ao4RJcFaltejGve/UfNMgI8ECQIBsjJWmO9S 09PTUiTomiRrU9g/iX0ak0v+IiHNP3s7gf1mcWsvR60gYdcV6XUWmG8/Ojcm voqEab4XX8rxfIjPJA2vWIPjrVp3JgTPEytzu+eTtSR4nA52ah/F561YjOp6 EobUxi02YBYrXDK4dRMJRuE6goV4Xr86prgUbSEht0izb+gPjWKk9gzobCNh v3bMTxXMop4evX/vJOHaTv7Vvnj+vyoKna/XJsE5QyLqPhef/5reZaZDAuuV jVYu3heRje2kjR4JfTJ8rvW/aCTce6DjkjEJPRUDscW9NKq7R1hPmZCwquKC aCrev2gD/5/XTElQvmWoENZNI6Gnuc0Rx0mI6zYW1sH7u8xmRcNjOxJKvrTr WeN9rxUqPLrWngRht8x9kp00iiwx/frCkYTwxcpyle00EpS7+aXgAgls35RL Mj9pJNA0VPXlEs63pvvTxSYafQqKMjh2mYTLHRy/iQY8HxqqH5t9SbD1njvg x6LR0phT5eRVEu6eEjzqUk8j/kPVJRNhJEjmrJ4RrKHRYvQgZ81DEny3iqvt ekujNh0DQ04yCS+L1DL2FtEop+Q3kfSEhNLuS0inAO9b4V5JyWckWGyke9fl 0SjvFceb5zXu18D7kdfPaWT7cM3uzhoSDO38qp/G00hLvq4xoZaEYqHsdwfi cD0J3i4W9djvHY9qqDs0yv+v6uGXRjw/3FMgdAv3K+qfhbedJPDljrrI3sD/ B35ZlfEjJETmfLiwwh37M2FuYzaO49emU/YuNHLwmR0TmSKhQ+pta5rT//01 WRc6T+L31TtzOQcanXNiIi4JUuAb26tSdgLP7wnNo6aKFKS90+Zdto9GLlrv fgoaU7DPJ+VAtTCNylk/XhabUGBWIOf2ryCNZNyGAv8xpaDL/CBnDT+NUPpa 1arjFEzz1L5xX6CQ1PLbXtfPYD3X5Ki6PxR6N+UoNOFDgfyMvNHLHxQSQqJ7 u1LweVefLml8H8g6ZJ9SNk6B7BMeH21ZCmltVNKFKQrkbos5rJGkUJko0Y5m KFj2rZkWFKUQq8lmeQUPDb4xy9LrllBo1OZkzMdlNLBYqSfVxkik62Ua8GkV DXV5Aiv1mkjEStK1ajxIg1laU/9YNInGfsmL98TT0McJzvs8TqAC878XxRl0 QdxwYre7GAcFGoY+zu/pgo1+hv3n+TqQUqdRa2poN8Tl0Yuf57Si3TtD4v7a 1gPXncxEOou+o9Orvk3xNvWAdP3Z3J+vWGis9hblEdQLrWKcfa/ba1DCYltv M5U+EJ8Qp/QiS5EUu+ApX2UfpIwkDi7KSkFLrgZZaHv2wxlzcwPBG9nAk2mb Q0kOQEJLxs89AR/BKynnluSHAZATkGpkv2LB+w3hAhLuv8Cw0VPkH6lWkDDy 2hgs+hu0jLpHvtzD985NrCa/0t8g/hF+5+t3QW4yqHTZDgIRyL89ub8PbHJ2 SKycH4TT0dVpK8W5UGg9Kcri4YIHUwxy67kgyl8ifGMRfp4lVqi8jwvlp/cK 9AtwwfOp3st/PLigvMxgIV+KC0En4uUKGrjQ43hs8LAaF0KtjFWv3GfAXd71 c4AFF5YNjwhaJAxBddWmmi0nuNBxMeGgR/oQKHoyldRJLmiwwirjXw8Bq8ar 3NCOC9ZKXRRf/RBs8/ErknbmwrX5i8et+f7AxLeb6S8DuVAWuLxe4eIfuB76 JKjjBRc2k3Zb0bFhEPl3qdHZV1zQ9L523c5uGJKc3CR7crgQu69QQdhtGN4Y a6cy+Vx4XZjxMTJ8GHokGir5EOZZ86dK5cNgnMwjoNbEhfDcrKzmrSMgW2QX 4zPDBcvDv7Lvrh6F1OdVltNzXEDnLkwJa4yCRtIGxUAeBtLmz7slwigcujqR E74E8960jn7bUQjQj214IMZAzCNOsEfyKFDfyqQ/rGHAOXE60kppDF71rXwg epiBu+0VrRra4xD+KPQM+wgDyZE5zRUm4+BoNrg2+xgDLzo8fvnZj4NCaWmu yQkGKkXcZR2ixyEy9lR1tD0DFuplndupcXDakfhnmR8DLo7s/P74CTD4xVPU 5s8ANz/RyCd7AhRTnAJeXGOgoUF7VKd6ApoFdy01CmGgzzb2ZPj4BBzobFaI iGWg4/KKxsPWk6AcIm24NIOB6xcl6EmNKZjfFSDS8pwBIkY1/5rJFPwcpBsz snD8PTeTLzlPwe0Tb2wO5jHwziDqdEX6FCyom10KLWVA8+mIfabyNLRx3u46 jhjQ+qBbYK8/DYVxSvMqHxhQFBda/tlxGtznh8Iraxi48t62tj5zGjoaYpMX NTGgF7h23kV3BopvTjg0/WBgOJaM1j0/A3F77NRSWxnwkO09ZxU7A8bpm/P3 sxnYbRGlONE9A6rW8X6SJANB7EyFNqlZ4BOb16VoBubPqGdW6c9CiW/956B+ BiZ++huJZM1C/Kbtscd+M8CZq0qyomfBk3poocQw0Gy1pzNDcQ4O318s/+cP 9jPB/uqSs3Ow/rArp3yUgQWfxB6JzDlYzPs97fYEA6Zyjl03pueAKNjjfGaa gfbJ4s5n1vNQ6py6RWOOgaWf01nqLfNwX1FobGGBgfTp017v5hbgf3pHUOQ= "]]}, Annotation[#, "Charting`Private`Tag$2602114#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkns01fkaxrdbUS7bZjqrRgk1UcJqKmSOZyoJWze5tVMh54RUqJmTYcTk PhPNYRByiUoZNhGR+mIUmtix3ZL4bUVC++fWhX07+/zxrnc961nv+nz+eA18 z7n8S5HBYPjJ5/872aJCQZFBweuyc0rz6QEy4b7Jv0CeG4b35LdXviTe0zqK +koU8qd3Wf1U2k96E8XZOSoU7ELdUjWW9BO20ei2VaoUvDPN7bIj+0hDfTsv YxmFq6U378yr9pHt7tUBX2lQUF+5eJeZ10sME+OvM1kU/HaUDwyN9JBMw2DL ZF05b8j1if2VHqJZ79m5/B8UggY0DkhsesiC0ERlqR4FcZz3rZbCbvLC9XmQ ZD2F7ur23WW/84m9sGpJuDGFtPXNJXOH+KQ+/nr+l40Uineu7W3V4ZPbdWe7 58wpOERcb8vN7iKRa7W/m7CW8yU7CyxrO4nplNvyvn0U/Gs05nNXvyAPXJ1J 0kEKnnONWRZdPLL70a7ztocp9FsFBP8QyCOcZPNXNz0pMAoTNlbndpBEC7WS CyflvIOM2gzddjJ2od6JFUYheM2vxVzTZyRfYpi0r0h+P5WCx0PNxPTfK20V blMYdwyx5CQ3k5oOrdmqOxSsinPMAmybSUee+IgeV94/tzjfk/cXkezsNZms pdD619cON041EU5cYlsCT+6L4BWb1BqIjta0avMiBWbjmdZTzBrS9Sgp3lFC wcL77FaT5Gry36D1S3gyeW7r0fJQryasZxylAWUBDirl9M6o3Ses2CcSWlOA 70v2ixfUKglTlDX7tZEADWxPA3urMqL+bs/gebYAUVrDHaOKuUSZZHONcgRg 1FlkjKdn4/TWhy/V2CP4PoKvtaGhESWOvvmPP42gSL/OsKioAx8nVzHH0t8g dPS79lBJN+4f3quUZvcW+cplIcmvB3DJITavauwtQnztWhTlf2Dw2qm/MHYU 8amC1J5rI9hhGZO2cssYROE2x0rtR+G1hregwB8Djx33crD2HT4+uzISHP0O JG95/JDHBDKVj19wWTeOe4GNGlebpqAzdP+GYvM44irqttzQo6Hyc7Srdch7 xPyI2ED+NBh3jnNHWBPgGHIuxyrOIjSLe4XVNIHeV/GR4+w5PNqUoKp9dhKx M5zhqt/noe0UavqL5hS2Jn7rEfTkIwY3v+CH1U/hnsqUe9HKzyjPxbq3xz/g YcHt8ArvLzjG3a69WvoBHTtyNVdwFxAVWxA9eFcIY6NtDf3fiqDxn6VOPqVC 7E8PEPCsRcjyP8Ma4wpheIP83QYRKtnWhXSVEEPJqWueskUY0+5sViRCWCUV 1ApOisDOZaia8IUIcbewL00TYUXNieQfREJMjZe7jX4RobD4ifuiRAjf0IgD TjIRLLI26V9i0AiwzfyjUkUMx58/cxNUaBRp97BTWWJE7E7pzNaiYe72zivR VIwR3mPdJiMaLjp7s3x8xCgdX52t6UyjUHT0QjBPjITrsd5D+2kIitXDTvSJ 4efyYX3ZIRp7j35a6zkshl59ffk+DxoxV865nqLFSEo5+vQ3X3k/W1yjzJTA f/u1mWVhNK7xFKqjD0tgN8moGQinMTvwsNPMSwL9fP+Iu5E0WsIZzEk/CXrV rJY6xdCwDWEqpf4owZ7XvXqJKTQuH+GPlmdJYBij67D0Fo2fLt980zImgdQq QqOvmIYkMCmqdlqClx/edN0qoaH3d2B5y6IEVz0qj9lX0LjnsLoJWlLINrqc j62n8WCOk/XCWoqB4VorN0LjyJl/GvfbSVGdZiBd10TDh9L9U/2gFGel0wnN LTQMW8svqZ2SYrAzJVeJT+P268UtTzOkeBD3+SS/hwaz57lxcZEUaTYnTAr7 aTyLdJQOV0jBvmlWtWuIRmuj6/uL7VJ8w0kPYwnkPppfFOdeSaGoJbUdeUOD dXrY69OEFHUX29ui39M4oP2H+vwyGdI3b0s5NEUjijfFMtOTIWQkx9WAplHd 5b75opkMzhnKq2ZmaJz8xnLDql0yGDsHDTfM00jgRm3/xUMGZYXuoquf5b4L nyYCzslA3bcJ9F6kQYJ/22Dzqwz1gYXmFhIaJzJFPjllMmToL/8ok9HYb8Oh /GQy/A8+iU3q "]]}, Annotation[#, "Charting`Private`Tag$2602161#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk0VV0YxiWKZCYNSkSl8UpJJW+lZCxk6EOmVFIJUfkSkeGSSEklUZ8o QyGzaJekUomUIrL3uUiGeySR+dv9cdZZv7We/Z53P/t591F2OW5xQFBAQKCb Pn/f0ZzcKYICGBZqrOmafaMJdVkvd7tDWTFKuMjc6Cty6pMVVJqKwfK2g1jm umbUEDF2M1EYw1PTFNV5Fc3IeFH7urkiGAycPx+PXtWCnpa9e39tBgbtI80X NSNakJZ14WF5cQxfStSuyX5pQVls0tQrklR/99PDIwu+IZWI8FtSMhhChjql tBy+oesqnuuj5TC8TYusrLj+DUmU7a0TU8AgMiTpOFHzDQ3z1YWnK2Lgcn9j KY1W5MGVSQ5ZgCFxpX5j/b5W1KY8qi2ojIEjEZO1htuKai3fHh1Xw7DUKJ1T 1dCK9Pn5084sxRDVcCbaebQVlYXfuv1nGQY5tQrrdZIY3Sv1+PhrNYacn9rd qhyMFC1tPLzW0Hpaj85nAkaXe0GEXYvBfbECvr0Lo4CF0jpdGzDEy7dnTLhj NFAy/OmQDoZXEnnMqdMYue9hjrfrYrjOf1ceFIqRVVheCtbDsGJvg6dTEkYr eqzEPptSv76Infj6BqNiSxMUaYah9vEktviMkV75thO6ezD4pzeZ+DAY2Uav /pq6l57PoMhA5RBGERzRTJ/9tF6N0PmxBQTJ3Zh0WHqQcreGp9pSgm5PGZRp dsOQX6zgI61BUPEH5l89Dww9ES5Jm7YR1OFTZiTjR/0RC7eXdCHIu+XRxIsz GMJ0N49xDxM0viP9kV8AhoqSZ84fPWl9hfi55DwG5v6AaEcAQXolx7uyozEI bav9pHCDoBrlg0n7YzHY5kXo6CUTZBtpb6EQR/MTu6jVMJXWtzMsDbiB4a7T r7ieHNrfuEqk6V26XsGzOLmKoBUH5+hOuYdhxuVo/fI3BBXVSPbnp2PonC10 tayW1k8e+0cxG0OZtrDi/iba39YG9e4SDEYhzyWdewjiZrxtSSqj+ZktKp3U R/uVfR5rgTDEcT5GPBug9duyh0sqMVROiH8tH6P9hUW85r7HsMVsGbkuxqAO fuBZnQ8Y7huLpM6SZJCXzUmNvo80n2PWRwJkGMRduv+GTROGkasLgsXnMKiw Wufw4nYMLqazqjXVGLRNU3N+03e6H0/BDLGlDHp3U73uYhf1+4uhUe0yBrUd nbXhN4shUlBgbCGHQbKSfSKVIxi8nQ4JdG5g0IfyyHDDccpHM/+drsOgy0fV pr2fxGDmmi8zW5dBMtW2U5uECDQEK+8X30b1p38HOU4nIKgg5d+vR/VLLgm0 ixKIftNz4vUOqg99Mc5KELhfuanA1JDqNZ38faUJLCw6ZT1qRPXMyMiILIGj BvphN00YJL2F80d4DoG9Y25a+bsZJDWa0D9vEYEypz9LjK0YVJu+zuuOGoFp 81quxFoz6NLeWnbxUgKKXZbP3tgwSLJQuFdjJYFLi/W759kyqMb19pGi1QQ8 lGcvX2PHoGjZTV06awjYdmrn6dgzSMLL8/vO9QRUR+/MW+1A9UpiB99tIJAR z9+g4Ej1NaltFjoEOp7dVBygLL7iK9m3lUBUwum7Uc4Metvk68TTI3C5uyvY wIVBURFSrW76BBLGja4PU575fUfzCWMC2tquHze5Uv1VbDtsSv1bP5/zjnLU 9jONAWa0P271CssDDDL5Jb9XaA8BF+M8Xi1lsf9yGiKsCMSb3Tumd5BB1WbG VpJ7CaSpCvIyKUdOttfH2dL1wg/tZhxikNHDcxZz91F/nixmHSjP2DevLtmR AHb3z0+nXC1WuFvNhcC/S6wruihHlprVZLgSaE4dWKXiRtcf7jbhHCLgnrtW yoyy6OywNwWHCVjfij3jQ/lV1UKjTUepP8lLwmIoc30fv3rqQaBwTuH2O5QN VK136nsR8Ky58yadskh934s3Jwhwpw+t+suvgi5sNz9J+0k/Epz8dz1n8fOG 0wT6Nzg3Rv1d3/p0q/0ZAlm1HfpelKdH2z0lZwn4T3ncYkK5SmdQ99A5AiO5 pjlKlMO6L5X3BBMo5j2r/UH3o5+wXMc7lMATT9Ysk/I0w6rSoXACco9dt7lS rhpy2nA2ksDgbrdCOcphaaNFghepX4Ej5WXUT32reC1uDIHa9obD9pSFhTQK xC8TsOzzrf5Fz6Py0RvNK3EEknZJ9AVTDnE++Gj2NQJ/HOO7RCkLoZvZixIJ 1FTI35rcz6Amne0GrUk074HFPc6Us0t7cMIdAgEHinpLaT5sCzfLyNwjMCB4 Z5c5zRNnbUfGu3QCa5O16qOdaP+PovUisgg8uhVk8ZzmL/dBq4/AIwI9zc7h 0jSvYcu54mX5dF6wnePyfQyyT+eknSqi32/8fPJvvkVSgz7zywhsnKmdtp3O g0Pioo0tL6kfJfUv+HSe1s59++F6NQF7937bSkt63td9jli+IxBSNfVB7B4G 5V95kfjmA81/lU2FrDnN44VDkyUtdF5vH9AtMmYQFpG67osp9xoZmtB5Lgwr 5mjwCDCr/c41GjDIJVjU5X4nzb9R6r1meh8U+2VWxv8isPh948ZwoPM1tGef xSCdH7/hGa2bGbTfd+y3+DCdL/li99U6f+fTdEnoBAGhjzHTS7UZdMCNjTgh yoCLtvevUxr0frHR3G2mxIB97afJZGUGdX78+l1MhQGfcC1+qBKDyi1Czr1U ZWBa2zH5A/MZ5LbrU67uMgZWpc9aK0nvzyc7TsmtXMeAot/rPFkpBh1Z+7hR 1JgBrScjR9rp/fy09lNWsSkDzSFrsMcIQfLH+gIPmTGQ0SZr3j9EEEpVW/zC igELlfX63/sJklW45H3OiQGGK7MzspOgx8OuYkO+DHh4bU4v/UCQGJLY3Hab gfurS6x+/keQk5261JUUqvcMXvmS/q8KhvR4W9MY8P6P+/paIkGOHL+I5EwG ZpZI7lePJyjvDu+TbSEDi318MyQiCLILKfaoe0P3s6S1vv0YQZmGLrefDDLg f+j40Q5NgtauUNaFYQYOuh8ARw5BTyTwVzTKwEZZkykfVxBUW79P4ZkAD8Ia tzrkqhE0sO+f6OczeBAQnlO3SYEgXW8z/1cLeNCgtJBzeRij2gTdvR/0eTAi NUd+72OMfnfPleqI58ErO1akThOjuFvfXybe4IER1yF0eBVGmrvzA/ck8kCq KYo/fxlGXo9M2ad3eICdfC7ZLsSo9/S5mptZPIgMP2mRMhOjduGOKPMKHrRt sQ388aoVfVLKFS3v5UGlbESqsUorKtizc2rc9jaQsuAtMnvSggINQpPzO9rA fs5cre4vTUi5xehLSmg7mHjNmRWd9hltXB8SN2dNB3he5WoHva1H9gveD0+p 7wARjftZJfnv0e/qi4xn0HfoE8x2aneuQteFHHwsVDthC2dbFYeUINlvBf8J VnaCQIL1Duvia0j4bJDlBq8fUDuzWivILRcE0h2yGZku4OCTGlt8KsE7Ifui TEUX6Ni5LFRRrIPy5VwRaY9uuP1szu9Zvl9A2sh7RbBED1hap7o697RC88ra er+yHqj5KWm+/nAb5CSBaptDLxx8eST+s+gP2JetJT1/ohe2O+WoKi/nQ6Ht H4laAT5k3ttdI6THB4lppTPPT+WDv+HErj+2fHhqv1nkhwgfGNFwE8kLfFCZ sX0yX5YPM5OSYwR6+NDhat5ros4Hx1uS1jNzWfCYe/S1vyUfGqMuXHG+2wdV L1a+XG3DhwwVt2Gv3D5Q8mIrmX/4IHAlIzHqSR/UvvR+auDIB/ljxcP4Sx+s 8fUrknPnQ83G1iIRiZ8w9D4sNSuQD3W+g3z3f3/CudA7Qc0ZfAgRfP3VwL4f xE9NN3J+wIe2H8mhLYf7IcHtmExHNmXVwpMBp/ohz3hDCpvPBzbkREH75X7o kK6rFER8kEMcP9PqfjBOEhBRr+eD2+egGSmbfsGsIsdo31E+dO/8sDZBfQBS 7r+wHhnnwzKhY23TNwwAJ2G5UqAACxZD7nnhBgNgeHYomyvMAr89tuTJoQHw 14upuynJwnv7bDGZewPAvH8iV7GIBZMVwWti1X/Dg875NyVMWBj7HtcXtWUQ uLdCnb7tYmHuNdcOcatBcLXoVXtozsL+f1ybCg4PgmJZWY6pDQvNTZqnAq4M QmSMXVWUCwuDz2ObJH4MgpvWjZ8z/FjI3mUjrH1rCLZ3CxQ1nWGhf/bVlNz8 IVC67eafEcCCMv/yykNvh6BBVHu6UQgL57Drp4tjQ7CjpUExIoaFRjWzrGlO f0AlRM5gehoLAUVnpaW1hmFC21/8830WJkefBwZZDENjL+9DWiYLggELSpyO D8Mlm7x9+vTcMf/cnOCMYZhcZnEitIyF2Y0HO2cuGYGm1hJtK8SCTuJw44Od I1AYpzyhWsHCtKQtDqNuI+Ax0cetfMmCd53947cPRqC5LiZpaj3db3jdhbGt o1AcNrS//hMLivYBUbmHRyFuk6N6yhcW9LeNtGddHgXj1FX5276xcKu201bs xygsto33kyHU3zR747ezxkBQckKX4VH/LVr14/THoPT0u9dBP1g4P7BmbcyD MYhfuS7GvIeF4YSlmTntY+DFJFoqsyyk5PDFPyiPg8k1obk/f9Lva5mMTLqM w1KTo61PB1h4mZqS3JAxDkJTPt69NMRCcdb6ArGxccAFm9ydRliQ55y78t1u AsrcU1ZzxlmI/XivfOaXCbimJPZ7cpKFh3LinPLxSfgfaFjdRw== "]]}, Annotation[#, "Charting`Private`Tag$2602161#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHlUk2cWxgOyaVkD7RRBAUELIlOtVFmUp2WxKOhRKkLDiLiMIqUK1rGl IssgGumCzjDQIgaURYVqxCC4BF+XMIgbSxCUIfIFkriAeQFFC8n3ZdI/7rnn nuc+v/Pc67Fld8zfTXk83iZj/dl/tLx+R13J4MZgncqmqpdUsHMKVlcx8PYk N+MW95IF251DTE4ziP9xf+9j+x7S9NBuvOEsg+g/yjdLkh6R0KUWNcm/Mzhj iGqEvJs8LNd/5SpmcLnpXokkvpsIrF7bdNQz8Je0OR56KSeatBc38xoYmGk7 JZ/nywn7eY/P8BUjryci8O6DLiKsva8QSRmoPJwXLs/oIk6Ot4/FEAZvnm1Y m+7dRRaoxJNXZAzS/P7Tzj/aSQSHjrQJ2xmM1jp8wP7QQTTa7APLuhgIBf5+ fkEdJD1u36LRbuP+R81r6ybaidB7629xfQyYShfNYl47aby7bOc8NQP76MRs 5uMHxNFu1Eo2ZfRfNHUbedpGupoLDq9kjfw5Wklsbhv5V+pci3aD8V6ldm+j Vxvh3xVM6zNT4rn68GdLdt0h/PwWltoqsVDtMjPkvVZirysdd/FU4s6xj77a uUNGrJ9F9H8bpURHd++Ki7aEmJHjYs8yJXKGTgX/Hl9H+paFRw6IlOCNzz5c sLyWiK+OMKUnlWBaP3Xf7nmWCBqX8/mnjbpp2lrz8RpSf25gL++iEu6qNcMZ padIYplnkKLVyNv676C984vI5Yw6WfFr4+wz1fi18Ai+9r/2ZHrUIDp6rbn4 5ouoW7ml4vrbQeT0la5L2NaKieGZ9priIZh5tQtEzZ249OUX04rCVRDuyXxz WtuL7Mj88gaNCvd5kSeb9yngoVj1uDJfjXkrz/H0AiWClh4scv5Eg9DAfYej 3FX42+z2SRO5BlPJR82VpzWYuPvzYFruM1i4CnabC17gV7PEvTFez2HKEguX nmE4Pr10ylT2HJIdiwIDPtPC/EDu+sD0F/g+IOJI5jej4J1NFA/yXyK07X95 llVj2FMq/pl/6yUUzRJRxMQ4mn2FVg67hsFbP2YtDn0Dh1V7FvzTdgRlLbKr eQcm0O/XIc+QjsD3tdVE8ZO3uCCClyrxFe6vzyHh3n9go3iJwyzuFVztSu5V Zk0iJ/9kbn+tFrqQlg3v2+hg853lqs3ntMiakX95saMOpcnf8DViLW5sH+XF OusgiQqspA1a8CNtUyrm6qBx6JSZEi3aKtyqE0J0iBLxrHzkWjx8fP5EapoO HzRt+uUfOi0WWShqonp1qDzTsmGK1UJd2vVdv0KHhaW+btk8injfLbfTVTqs PPBOLDSnMHdP4teO6ZAZVth53I7ih/uxp7601mOw/brTLU8K50CTR2Whepx7 Puu4bTTFpVkmeqlED+GJ/KSnayjO9zkcU1/TY1vMq7nn1xn9Njs++VCmh6tU emF1HEVwU42orFuPgsKE//60haLn4QaFz1s9kpf8NjYjg8Ji34Ww8mAW4cO8 pr79FOITeTa/hLNwq0jOrM2iKLzXXP7TahY90wMsVx2kqFrmFHZtE4sIRY/r kUKKbcoEAT3IYs5Bp0jLGorqL8zcN8pZcAGZNr1nKEZanOJFChZPXg111dRR 7P5QupF9xuJonGTjinqKrGyttQvLwjA/5tt8KUUDbthP9+HQN3AlIJZQqN/Z Lkr159BY5MF53aIIu7N5KQcOu7hRoayVQj9j/m5pHIf+zkLRNDnF+IghZWYB h8uH3m2VP6Ioy05LSS3hUBS8yafyMcXtoW7uL9Ucoqr/2hD6lGJNT3VI9U0O 8wTFGXwlxdWGhGknOziY2nEhg0MUsenjb30ZDle/f9CW+4LiwfuTv64xMaDY 79PCdSPG/NMHrng7GpA+WLbegxr/zygls+cZEF1iNnNszKjvWLFrf5AB3tGp AzfeUEyFdarq1xpgZtJddfQdxSRbdCFvpwHMpeCUpCmKIBmXlHLIAGlK5ccL 2T95OWr/OgNK3N6bMBgo6kmWd6LBgP8Dbu4sdg== "]]}, Annotation[#, "Charting`Private`Tag$2602208#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk4Vd0XxyVTiSQUL4k0UlQqpFappJCxZBbSpN5IUS9FRUilkgpFkZAy TyVb5pTMMt179zlXyHAPZQjht39/nOc8n2fvs/Z3r+9a6yg5/2t+nJ+Pj6+L PP9/3xYuqvoRj6HpxCOWh3wriptWDjVOwPCHL+tPXHArUnOT3TnnNYbixNVG TFgbyvu28Fd2MgangtD11LJ2pLdNKPFkKoY1oSb6y+62o2+xf63l0zD8fVfY eL6vHdmI/Bary8BwVOh95TGdDtR9/uenG9kY4qqNn7gFdCDPNs7FbXkYln4a cnz8qQNN725Z21+AQSBy+8jhvx0oOOUr63khBr49ZmejNnUiqcWl980RBt9k 7ge5451IrSttoqAMQ4wZSLcVd6J8o8S3ZysxJNnWCLX1daI9OTHHlKoxLHh2 nJ0oyUI2QSGfg2uJ3rQ3jqF2LNTNu+an24BBree/+ImrLORhdWnjUBPRE/f2 6mAsCwWvcXlq1Y7BoGl9fSuLhaTuWxuLsjC4iq+V4Z9iodgJkzmIg0GlwuWT 1BI2yq3WPbXqB4awQy5eO4zYSG/zZoX2HgzB6uuveB5no5rotfV3+jAkNHm7 1vqxUZe7jPYog0HXanuueiobLV44JFI2iSH7mPJYNB8HNXwMvXVgGkPVoz8c LMlBD9xXCtXOYohw+Bj2WoWDJKtt5rYLUOB/ur+6Rp9wYPk0I06B71f33WOB 5PvNTr4XF1GwZm+EUVkE+Z6enJxcTEHC6L/bNOM5aNEujT+CshTIX/j+VBBx kMRU1K9/VlCQtJwbUPCLg+qSt3i8WEmBl+a5CnqGg8KP1jGr1lAwEDMtdkwQ o4W5goMb11PwrcnnXLMERuIe53v2b6PA9F77LdVVGH1TFHWr0aYgV/b22EZV jO5+e9Vlrkv0DT7aI6eBkZhaB2W/m4KSsn7dh9oYLejZ13nBkAL3LVZhWoYY fX2EbSaMKbiazRZwMsEobO9/bVdNKSge8ttxzgIj0ZfpLSGHSXxl77FdthjN t/+nPtaRgpGWByVfT2FULZprstKZAvp3VNS2sxiFvjf9luJKwRMZzaaw8xjN Wxr0JecUBUOz/mPjlzASaRwq/3KBgrH3G2U6rmNUFXB7r9klCrSsTm+MD8Qo WGNVaYsPuV9VjffRYIyE79oWU34UGDQMFNy+g1GF7tjOE/4URGSKH5wfjlFQ f/jHgesUqIxZbvB+gJHQgYr347cokOpNElR4TPaPO2n7hVLQV6Tud+Qp2Z84 lcd/h4JI3rDZtWiMBAU25og9oEBCul8kLhYjARSdtiKGgq9RjxeovMaoXXev Aec58ZM/4MDcZIzS3g/gqBcUGM35ubg+BSOb3B2Skq8pMG/5dkj7HUYamt0p NckUHLIY0W5KI3oy7+4JSaUg7rpQkkMGRhlvOV58mRTojegP62UTParBYoXZ FKSqi25/loORXbJGonceBRVRc3705JJ8vQr4zisk/sRNrTYpwIitvO58CqLg SqjCSvf3GGXFNYi4lRD9UaUHr3zAyCFmhQ6rkoIuJ+Evpz9ipCn3teFJNQUO mi/9jYuIH0+8zljWEL+sa6SUEYknrSAgUUf8jL2U2Us4+2F5zJcGCmaEIm68 KCZ+Ljq35VYzBe3XVTOMPmHkdE/mm14rqUd3G5c+wlvFkNtMOwVLU+w+XSkh 9XL7xGwBi9RX6MPhacJYROLJRUwB+1iYrFcpRrlB+RobuRRUUUIOLMJhAsc+ D/ygYPnmKVq7DCPn6/Ock3opaGiO/RJCWIsvc9Kln4Kt+//VqSEsdtXmoSKP ghTP9WYC5RjRU/xqHUMUFPEGNNQJ519+Uxb5m7CI1KQx4bvjFvbmYxQkvjj2 1Ymwy8W/o2IT5HzWcMUJwlq/E+5+nqIgLFlPxKX8//1lvDpwhgJNaa135oS7 eKNo1xwaBEKWt2wl/N79+dG/c2mYbMyPWUg4vE9/OE+IBlMZjWUsou/4SSbk wjwaHoSoXoolrNP9WFl9AQ3uq6vREcISrrs+9InTwL8xSXou4W6q1yJxEQ1x j+n7CSQfhY73B45J0eBgIHdoO+EHLO1AhSU0pNt6u1SSfJ6wpRXaZGmwXJfa Z0BY0mqziakiDevcVNPUiB+9TR09osrkfIWkf+4R/z6a3/SvVKEh+6Xb0R7i 78lDzRk719Gw805gzGVSDzu/+h2cVKNhWVBbbRapl8UHV3Fz1GkINbBV7SrE qGift9T6LTT4VmS9W03qK6JU8W3vNhrCq8NmdUj9ndpdtS9BhwatszHVe0l9 Su2Q9f5nF4nnlKSgm4fRGc0PbfMMaVCRv//5QyZGxXXNqfnGNFxdmvAplPSD 9NmhaydMabgiyJMzS8cIvVq5qvwwDcHdqpvK3hI9S8I9/Z1oGLN+kLoviejP Stmn7kJDX5T3qfpEcj+T8qXs4zT0plrMPfyK5Cd4smj7GRqSJH2E977E6MOE q+j4RRo2pLu3lpB+l4i8xn7lQ8M7uC+4MIr4tSkqw/I/ks8Tp/wsnpB5e6bW KtOfhhZ9F//yCFIvndoJZ2+T+CHl6iZk/ogi8R1dcTRkVnqHzPUj/WC7VuJh PA0xP/uF2q9glDO+h7s7kQb5vUHByT4YOWpcDol9Q/yo1v+02Yv06wtus00u DQu6dyiNncbI9mb+ufovNLTmLhvRscLozQHnuKIxcv/89tI5ZJ5rqinthAmi T7oje8ca4oc47kBTNHTHll7zWolRXaP9kk98XMhV6ihoUMRoxN76bul8LlT1 ZlmbSxF/PU19q5ZxwbTxd1v5H/K/idp5tEGfC17pktHf73OQtd/0qPkBLtjt ESqVvc1BtGPhw0ZDLrTK+jSZ3+SgERWd2iZTLgxJezUlX+Ig2bQt+t9tuHB+ X+WaARsOci5V0+w8x4Xe7i1dVUocNNovJ9EdyQXNjFWLpJPZKOJZT2XMUy7o 5hY4P41jo80m2dcsYriwlL9lodQTNvLINGaKX3ABSzyKHghio0Ef/2/RqWR9 l5+xqisb/RDsDjMrIesrtlz/Ic9GzYoZ8z4OknijK8Z8b7FQjsX+uRF7u2DE uVgwSK8TBRvmB8rv7wKjyCvOoVqdyG7PWpFXB7rA7mtE7K0NnYh/s6hY7qEu Mu/5PrvLdaJDkrUyrUe7IN+sUJse7kC9dUfWyZ/tAlfZ2Ru+sR1I7pCbWcKj LvDZpdV9c7QdXTMIjM3u7oKmmiLr63fakBLrYGt84A+IEakOzgloQTrbbkbI buoGI1XvBtfqBmS3rHZiTmM3mPZ+lHLtqUGj1Xfo8wE9gKWUL32vLENPBBy8 zFV6QWLDg7Fqvjy0mJ3zkr+sF/jySo/p54YiQb8AS22Pn7D8TvtQZH4W8CU7 pNGSfVClpay3/Go5eEal3ZEs6YNW39cDEg/q4aNqsMiic/3gK2zcac9qhUUH PdWuiw/A0JGsCgsVDJ3r6xovFw6Ap7xUwvL7XZD+HFS6HAahyUn6tbTaT7BP 27pIYWYQxr6Er6nZz4Ncmz/idXw8aNart3ziyANxofcLbszlwQWlRosL3jwo ttsh8lOEB4eD8ndZv+aB8vy9s9mLeXCzJHNdrzAD3a5mg0ZrebDbfNZgw1cG zsm5f/a15IFu+MtH6zKGoKJ8faW6FQ/uXgqy31A0BIoeTBltzYMNtg0Oul+G oK7Ss9iAnGuZl3bG+8cQbLp4OU/qNA9ixSyOuMsNw3ht0KvUazxwV1gvcjJo GPwDXwR0pvBgQd22eq8Tv0DMW/jgsbc88E9CMtNevyDq5FnJ7jQeLF3o8ez+ 9V+QZagdz2TzoMjqwwjn2S/oXlRfxo94YLHkT7R08y8wfM4nsraRBwmvLyQI 6v8GmTzHuxeneJCkrB+uunkE4pPKj0xO80BzmXDHbb0R0IhSVbzGx4An30Od GbMROOA3nhYsyICcE+yW8xgB3z336qMXMtAQuXLBtvQRoGuLpEpWMDBeYVer v2kU3vYqRIsbMWBtqO1+1GAMgp8FOrEPMZDmOetQZTcGruaDK9+ZMfBKVHCr o8cYyBcWphtbMbCteaWBYPQYhN6zrQhzJudJ/bPDZGgMTm59Ojz/MgMnfWwO /4gfh739fHnt/zFwxyO42/DDOCjGnfRNucrApY+K2ryGcWiZpyV88CbZ3zEx MMj/B/axWuRD7jFwu1H0sYzbH1C+KWUgnMiAGi2XeHH7BMxo+Yp9T2KgX92D TM4JaBvkNiS+YeCQx+7kx14TEG6VZa+fwcCG5DqR0LQJmF1nfiGwkOhtEJHN VJ2Edk6B1mHEQIRjqJa20STkRijNqJQwIJTCdnM/OwnnZoaCyyoZcB4OPS6c OQmd9feez21kIJiTblaybwryg8ZdGpsZuJF9Rvjo2SmI2O64Nr6VAa301zKb I6fA8NWGbD02ycct9wDjgSlYZRN5WZJiYOqupVuf7F/gXzizk+YysLwy4UPY gb/w3qfmc8BPBlof+fhsTf8Lkeu33DMbYGCBlm6Cau9f8KBjLJUYBmbty4IV VKbB6LGA3PAwA1wJ1b4lx6dhjZE7p3iEgXDtwOSc1GkQmNOUED7OgKHt6MGU 6WnAOdtPO02Svri9pVPbfgYKT8era0wzYCrK+jzVOgOPFUVHZ2cZmF7xXBhN z8L/APMdt+I= "]]}, Annotation[#, "Charting`Private`Tag$2602208#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHs81Xkax486cjkhNIaGxdBt0/BK0yq1n2mo6DAjl9Uqh1wmGczoMssS TptIR+yMjWROJjvlko4SFdYvt1yL48jEUn7HJdfzRctxOZc5+8fzel7v1/N6 3s/z+lgGfecZuobBYISo6v+95MyjkfYjNJjvv8pb19RDuTmU+EtcaMgSNqSV KkXU+veHBs6xaRTa/+anv1VEdfxryG/ZnYZLprC7Mr2b4jnH9SV40HBmMq9f 1O2m3D58dJzpRSPnJk9wmy+kWHfKeq/60AjJ0PS23Suk2jzYPnrHaUx/2/pN 5H+7qDTlqCjLj8Y2zTfn7/yji9L2/0R4O4DGG/+fpK4NnVQbq/LrzUE0jkd2 zDNtOqm0Ko9XxSE0MjXbi3i5rygt4yvtFWdopBb36thfeUlpimab2s+p5oMW L1PS2qkW7jXnYz+o/vepi2MZtlOpdlsaemNU/kr7g+v5bZTG9RPP6YsqP6/4 fltVK7XO9UWVNIXGbPhy8x5WC8Wkbgms8mgs+b8vF801Uv37nV3e8WkERh+O UOc1UoKq6aHcX2g4MO7c4mxtpPwqDxgY3KPRIi9K8TrVQD0sfXee8YjG+F3n NB26juLkWe0bbKbRdXDtK+sNtdTT2JLGGx9oJDmbecdnl1PXpV7+nos0vvig o9i89IgKviBb0FmmwdDbllDw10eUbrT71mSFaj9fqq5h/pAKDSNXz2mJMXSN +2IitJQy8LX/2sNcDMaCWbHRUgH17e7qPi22isucuoxqvqOed72+/9RdxRan /1ls7099FDmbeNpDxXZ6hzVF9qB+3bylyUfF9hnBz/efheHHmWeTAlXcVpyt vngV1cshLOkFMZLChxNGUn4Gi9I9MJIvRr7TgZ9iOh6gxDUov3ZRjMA4Tvm+ m7VYmNq0YezGMAKnpCkT4R2o8DqyNst5BGXOdbLBjh4kuiTffjw2gh9NNA+v 8vthOXj0TUHyKFqDIthaOkPY96fLWSa7xnDAh1XEkIhx8g+dy2qiMSgWq+7b 8Eax0JYu/p77HhaOO6sPeo8jh8k572k9jgfbuHas4UkYvq24s6ZxHMLWjh37 OTNQv8j13hs9gd1N0Sf3qc+CUcQRiA0mkXWqMSzDaQ5ncwXpBvWT2D1omrSS N4//7EjV1I+aQtSu0fWH5j9A/+hZm0u60zDpMZ+M3L2AgZ1dotiaaZQHq3Vm 5iyijA/rEdUd70SOBYtI4S/Yo2+mmEEgD0E892UkJf/CHSiWoN6szLZ3dAU6 f9M4eqpUAmO/3gjT6RXkhkUajAkkaOe6PAidX0E5e28BeSzBhb7+YDXlCsb0 hY1rKAnupl+6zzFeBZvP0NwukkDch/ln7FUYPQm4fmFVgoSbwX2uFasoKGz6 y4pcAtP5KkuNmlXY5e4wT2QQ9L9zNGytX4XrRakgVZ1go1HX/hNdq4h3yhDe 0iPYs3Wpu2pqFeLO2o31VgQN0w6b/m4lQ+m42S1dN4JrZUbWldkypP6cHPj2 KwLbtR+vN8mXIcRzZvODYwSxKV+EXymUwbSmpszdl2D+SV0O95kMaRknXvCC CL7XDRWqDcgQtufmnHYsQVyUheEPVnI4TzGe9McRxDREBdyzkcM8Pyy+OIHA 1zHpk4nP5ejVctA4epmAs45vnu8ix6HBXtOrGQSfarPpmSg5Pr280UXjLkGN 1zd1zyg5FA7xOr8VEhSua0xjt8nRNzPcfbeEIJETESDrkSPTt9z/8EOCTTk/ FtZNyqH8o+e55BoCE2avYoOxQpXTMwcfiiAQJ150WSlQmWWpsK4nEArVztTZ KhClmE1tbCbItOW4OrkoMCDM4K8VERRt9z19JF6Bp1ekwaLXKt+l8GrtNAWy HAO2F7whMHapCN6RowD7188ef/mWwKhSrUlQocAWvxuxBrQq7/Mpgs+aFFij p/izeJggkl/d/OVrBapiXrZyJwisGZml6VIFbuz8POPYNMFtG/cnWtpKRIvz vC0JQVg1lVhqpoRbNnPT3BxBb2qLQfMuJba5Rbx7/j8CSVMYXrkqwVTr+Xem lGBxmV/LC1ZiqMIxPHCF4GRFzNI1rhI14QW2dnKCMQO0NNxTItuctaBUEri2 3fP3VSrxO9sYRfY= "]]}, Annotation[#, "Charting`Private`Tag$2602255#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVVXk4VWsXPxlChAwVl0TyUbpESshyb5RMHUMlISQp6ka6uClDEoVUqKQ5 fW4Zy5TpVcbimmdnn+x9XGQ4G+Egw/d+f+xnP79nv3ut37DW3soef9id5mMw GB34+v/93dn3A/UHSZjYoCP/xLcDWem/c+Gak5Aud01oQLUTiQ2ZsS5ZkuCQ 9d7Dv78TNST1O81bkxByaevpUucuFGt6pecakwSraR9/qrwLWf2QdRSwJ0GS u+rM23XdSPRlTmfMERKm8zlb+Zy60Vem5REJRxIS1I5Xpqd0o1sr/7YlOpFg njiVe6SjG61x+aXl2UkSfMdEhCX29aCvogWHt3qQEPZ+5extnx50q5jZ+NaT BFXloaJND3qQyMao+vyzJJjcji2eHOxBdTWbLQx9ScjwqY0pEe1F0ZdL6iou YD4NT24W/dqLhNsmqusv4fq1Vjo//uhFdeG3TW3/JEEsvv7G5Xh8XlutsjOI BAVfv6SCd71IKP5EBXkV89e4JtdK9aIao1njM2EksNx/erQv9qKo0YSysQgS GuJCv/8r24dWH6op5t0kIXpkrvaiWR+q4bntvXqLBLe4vmf8zn0o6s3PQr44 EpqvOcv0+PUhQYGd+WvvkaC+cmLI/3EfEkCPs7ekklBHb79jPtSHeo1Mzb89 JUFAbVHOdqEPZReP9ae8ICFI4Ej2ZzEWcirYJyX1XxI22ptzFrRYKDfzWwDj PQkyeke9nC+yUNT26LWleSREtpCbbEJZyPlv7TeBhZjvW/3w1jgWEk4L7+KW klA6cfDAy79ZyDV1iwFRS0KAwa2DJSwW2iXf0PrwKwkPSYHYF8MsJPIwwMfh HxJil0/F606zUN796tT6VpwnmeDluYZAorfPrHwkSPCkMy126xKoX1jy4eV+ PB/35h2KjAhUEFWkvZOD/U8ffThrRiCPCBGP9GESTLs3umcdI1BR8Luq5B+4 Xtr8Xr0gAsXz7F3sZvF86CwOVIYS6NTlxZm18ziP9rs28jcJJO5n/Z8by1hv AktuSxKBBrgzyGQVBaqb35R1PSZQse9Tx0V+CoL47NMcXxLotDcdc0mEgv77 zQ6VWQQyGHygoiVGgeN1fsnsPAJJepqUjIhTYEpVzJ4rJlDpybtj7jIUNBfY tR6tJpDUMd3DTCUKmN5X52R7CDTc3jckqkKBw7GCsBSCQGV2kWG1qhSkZlQn z5AE8rbpyDXeRsHc2SR1nRECGTdctVjQpGDR335GhksgaQs1Tr4WBZrudlPN kwQqNwuU2aFHQbvP4vfOOQIlViplDu+hoOiWkKTKIoHO/lZn9tqAgmi382Xm KwSS2ScX+IsJBTLmc13bBNlopPiTRNfv+P2ECOaQEBtV6J9Lv2dGgbfulTPh a9jIZ1dJj4glBaV2025MCfy8uSOjyJqC7iiBbSHr2Ej2/EToGSYFuwRbU6Ol 2eiciKj9ensKfI83bvlTlo1Q2la16iMUPJSqUTPbwEYyv5vMX3KkQFt+bs3s RjY6y3ZqUDmB/RPQ1I2RZyPpDQn+YW4UbN5PNR5TZCPvD2/NtE5R4JzktHh/ ExuVHa7eyD6N9QgPkR+U2Ehq7NtorDcFnkPqXYWb2ehM9EK5oQ/237Js53Nl NipVlb03cp6CikfWZudV2GjdJ63Tjy5SwLB5dkppCxt5uVjom1+iQFjjFasA 45J5T1HeZQpyyq8v66qykWRyKDstCOfn90H2AcandVJyHa5QENk/79uPcXFj XiT/NZxnS5i15FY2kvBpOvY+jIKq5P5lNYw9hUa2uV+nIIChWauK8cdXAssS URSod/wcEcFY3ESppTwa62EHZ3bieqdYe1+fv43zvuXDvI1xUZBDoEI81rPN SEYd47Wyf1jUJ1Aw1rBaPxPz9ciNUfzrPgUm6Nm8PMaF1q8n1JNxfoVPkvyw XrGR8squh9jP/3oczMV+uEf1JEc9xthE9VAv9qtAZfqs3lMK9LdPt41hP0WR +L6B59jvmVql79hvtxMakvdfYf4FYaeacB75vP2c397g/QiYan+mwEYntYNj nr2jwErPQJqB88truO9sk4XnZTT/QALOV+RsltZSDua7af9lUZz/hxecDqcC Cli7E6Iq8bwIGy+ni3zE/WuS6xhSbOTSuzGkqIQCt8cHqzQk2UhI2kZl/ScK wtjfn4AYG52ILLrQUo/nd23uy1B+NsrZ3PZbWCMF6ZzgMKVVbCRYNi6j1ULB dMsfFzKWCZQ9o1IS20mBEcN/Y/w8gfjPxAmZk9hvzV1NAXifHPnTe2c5FGz8 +NYlfJRAmc8+Z6YN4vnIGlYLGSbQsW6ePf8YnvfxrB9GFIHeHfJ4Xj6L99/1 jSLdTqBdmsrGME/BRIRgT2YL3kfx/j70E/vXOMNwbSRQc5vLhk8MDoR4uszf qyXQtMvx+Mo1HBjWeKFp9xHvtz8zpG4TB/otn8ftTSFQrYOE/CFlDpgEavDk kgnE3NNY+GULB6zM5XTH7+Lv36Llj6/qHJCUPufnG0Ogm1EHz/2jwwH1C4qq zYG4X4qxY+sBjB8FBhnZEej41aUZu0O4vo92k501gaiTpffbLHE9OS85F3PM R9WgqZ3JgYwrnDprYwLJZesd6HLigOmDcOsXGrhfpeYu1gV83mK14qZlFpoZ lZccTOaAjPHXm01PWSjxyVBt6iNcPyzNg/eAhXQP54Xap3Jg4i29TvouC/m9 t6YrXnAgoaRQTe06C40HhTU+zuCAfqRRVqkXC/0rOBhr+xnrpX7vK9jOQh1K uSJl4xxoll53Wi+zD+XbH+RPNB0A/brsva8T8P/WsuiGwsEBCDmlvK/8Zi9y 3q8hnHZoANqNv3GarvUiPl3RtQU2A+DQU63T69uLbKSa1nc7DkCGKC/wtnkv Gm4+uk3h/ABETs5GnF7uQfI2Xravk/BzrRRdBc8eFGp+41ne4ADkfA7wTtrY jZQJi+5XN/4Fo0rpa18MO5DBnshEOZ1BqFrT/AFltiDnTU3zq9oGYXOXk7MY tx7NfI2jLoYPgWPibD5TpBI9FHANsFMdBrdJbaGb1Ackzc5/yVc1DIyjEnw+ Nu5I8Gq4w16/75BDrNg26hUA42/XbEpqBPR9Lj4KflwD/inZcVKfR8BN0TDD RrIVyrZHC6+7MAqx62X/KbPqgXUW/poR4mPgcWAl/fqRfmDtaG4LLh0Dt3CW RkoJ1vEUVAdcx6EoO4sXxPwOLtm71ykuj4OhHfO7gRcXCpzmxJsZXPi4nskd vcoF8dXFYtf5ubBlb8+njCQuVDjvE/4uzAXF++UWrtVcUFljupInzQXGqud6 kVtpGPS0HbfS4MIehq07b5iGC/K+X0IcuOAq5s/6WD4BNdU7arWOcaF9Snxn Tv0EKPnRVdRxLrj58ZXkdE9Ac61/hflJLji5ZjQ0T02AzuXgQplzXCjbmR57 5z+TwGuKSssI5cJfh30FN92fhLAbL8JZb7lwz3pcxerSFKwNFLJwz+SCyQ4f /dqwKUjxPi81mM0Fdc3KaJv4KfhgufcVnceFAaHlkxF/T8HgupYqPsQFr5mb BRH9U2D5lCGs0Yb5PXGvWG37A9YXnoy//BOfT7ltbLNvGl6lVx9dWOLC+rts 6+dW06Cdsl0plEFDVMOgl4DzNBy6ysuOFqQhOsmvnP/KNITsv9PyWIKGoQif 1MGP00A1lct83kJDjPCydJjhDGQOKz4Wt6LB2OSw1iPmLEQ/ueHGtqHBoMpf luc5C55241uzbGkIOB9XdSV4FhRKS3Osj9Gwmzm2c+nlLNy6c6Im1oOG7tyD /ou8WfDe/WhyTTAN1Yl/Pph9ywPTUUZh7xUanHrdZ80/80DpuXfI22s0JNIb Rjp7eNApoi9kEUkDBLfZZ4rMgRnRqRBzhwYm3x7BcN85UImUMRd6Q8NSnm/s tt/mYVk/ZG1XOg0um8VsfV3moWec0/rmHQ2/zszsVvhrHhKOfXA5kEtDwgbd RlbePKxss7t0o5QG5R/i1qnaC9D77aP+EUQDpXhXVth2AQoSlZdVP2P986nu Sv4LcGF5IrqqloYT+aXNYQULwGq585S/jQbVdwmMikM/oSiKd6qtg4aF3c4P dvn9hETDkxqvumnQfP0tePzRT7BM+zXvdzbmO72Hg+ifoOaUHCxF0uDo6/9q t+Ii8EksG1Mc7E+jkEqu1SIUB/3zJfw7Dc+z9/IEPixC8g69O7ZjNGQU/HKg fmQR/KhUB2Ua8/vWOXpLbQmsHgjIT07SsCbdvsbmzBKoW/l+q5jG/a5uOpKT tQQCq9pfJ/Bo+NLUWue2sgT9+Ybn3BZoiPxLK+2Z6zKUnnulpb1EQ8P2r6lz PcvwQEl0ZmWFBkMjp4WKpRX4H0/FIYk= "]]}, Annotation[#, "Charting`Private`Tag$2602255#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHs81Pkax8elkzjuYgtNrNqiNluyI+f42M62ibKSKNsgq822y25ap3WS S4vGVuh0Q7ksJZkTWpcVww+NlMolDW0umZ9rg/mOLWbNdef88byeP57X6/N+ 3h+78O/8j2gzGIxQzfx/17qdnU+bFoKVuY+X9d5zyjAh+BJTLIRN21FXx9xu ipZrbxiQCPG9iGM11NZF1cVx+VffCrHaMmy35+1OKkO6j+2/IEShqHV72L1n 1JexinnDRSFKg85eCBc8pVhvb2Y8lgvB4YQ61hs8pYyO7/kgVSWEnrHgouTz J9SYeJ7y1KKRpf9BE7Ogg6r/Nv+AQocGZ8T16x3Sx9SRSJJ+YhmN5pjAh3/y HlHbJq7Zb/o7jbCd/Y0X1z2iTCI8G0RGNLo3/VKrl9NO8UIvzhy2oJF0JaQx Nu0hZRa05XM/Jg1nlxzBOIdPTb0YmDSwp+Fl0PePD034VKN/SlK7A40/JcqV DTkPqEhfwT0PRxqVSTsVOlWtVNOOkxYbt9IYORNzekDWTH3j0vD7Mh9Nvt5k elp2A9XcLfhf3R7NfYlNue+remp5lCTxqB+N1aw3R0W29RR1a83atv0aP8rp XkBZHWVulRWTFKb539LzE7e+GqphMcJAGkvDz2lm3Pq7SsqAMvrnWKHGl+3G 5BbkUNxd4YVNCzQKN9+4FbnlNlw22HlgUcOvvDD8wrkUTUYjA5Rcwzc8m5e+ 8Q66e9lWLYxRrO7MSu9z4OId+2DGA/1RNNsmr/Q0qIBHjF/8o1WjyGpiXrpx qArduR4Hnn82Cr+yJ07f9NZjfnqlycTVUazzPdpom8ZHzb6dOpc/HUOr5NxZ 8696kOiVWlA9MYbzVHRU8pV+2A15vyxOHYdvSlfniQND2PZxyuUVmydgbfyf vG13hTi0qmtRq3cCpzjjusKIMcx3XKC/T55EjF5B9tYdk8jWDfnB32EKec+c b+yfegPz4Zoibf4U7rp0DQzFzmDJ6eQAt+NvcP89bl2JCwHjTkgFbSbCA/WC 7tCIBDG5FRfMWkUINg+5/WL7H2h04uiZRk+DPc8V+Ba+hal3zIYzRjMItHxa oi96h8GN3b1xvBmU/5vD+TFwAZX5cBgLmYU0yilbUi0Fu8LV1FY1C7MqkXez 9SKSUn9JHiwTwzX77QqTJhkMTy71PnxXjDMBM4MJfBlyI6PMJirEsPpovEXS IUOVj1sxqRbDcvOGFcP9MkyY9vC1KTHUOsbWI3My+OQz9Nb3inFwUaV/bq0c lr+FZsTKxfh4eRu3779yFJe2BcqUYhyK2WLdkiOHc64TM5FBYFhXFF5ZKMeu 09IKzhKCbvbt9rxyOeL/ldlz3ZigKC5ufW2HHHRXk0Xr+wT7JJfs5nQUuDtl e91oN0GlfmlRwCkFOHmpYcO+BHsFrF//+EmBCP/ZNeV7CVoPNxVdP6+ADY9X uSeI4AvjI58Y5yvwc+YXD8+HE9hHLxtMbVEg0jVnTj+O4FFnsA7DQIlPpxm/ vTpFUDD65P4PFkowCyPjyxIIbKKkHJmtEn3LWEu9Uwj6g0+2uX+kxI6hPpv0 TILphLXSkgNK2KdYeC0tIWg+kT79kquEihVv2F9KcNh9jT+vVonfZ0efl3AJ jhUvX9LcokRWUBX7s3sEupOpppteKqF29D+RyiPgeiZ4jP1NhVev77P2Uxre HrzSMleh9rKdyqGVoKqm2sefqUK0SsLhtxMMR5T55LJUGOzJzNfp1fQV9H7P rmgV6tKkX/YKNP3anxYmxqtw2T10ffFLAqMiWxOrcyr43PqwevswQe27wLwr d1RYG3w1zkxIoNU875VzXwVtY5UHPUpg2XdtM6tDhfofnz1OfkOgvzRqoXxW hasbt2bunSEI5fCHOxlqHKdvBNgRAquvyjPsl6ux+5ruyrk5jc/rVZ5yRzXW 7f72dfM7gsSfXxcLtquhq/XiZpaU4OLBUO5PbDVGatyPhck0fYvWt+fHq8E7 VrzJWUlgWmSzzeumGteYBvNqNUGbt3uCn1qNvwA5pyIy "]]}, Annotation[#, "Charting`Private`Tag$2602302#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVVHk8Vdv7PuZ5TEqJSLPKrSSRVxJlSlIkhUYlIrr4mQvpVgghJCVdhchQ FC1KocgUztmGnL1P7hHONs/0Xb8/9md/ns9an/d93ud53qV25qrNeX4Gg9GB v///v9G9NRE5wAbj+kcWJvtakFSwQ7wqjw31dK1+R0YrIuf4NTuH2aDVRL5I 0fmBSv1zqhPH2KA8uSvK/fkPFD119JTNJBsyFP3f9zDa0Nnr8xNSM2wovZPt f9KqDe0eexZdN8eGXDi+/2VcG5L2slwfsciG8GX/nhRuakMc3gQy5CNB/yen mhRpR++upNvPC5Cwe+jWE0O9dnTelb7tLUaCvc5ed4OkdrSnL0l9myQJO09e LGVWtiPZc4bvf0uTICprU8TgtqNyp/uDLgokpNk4bRHR6kBx3boRq5aRML8o pm99pANdPEmuYimRcFDDT4TPqwPJ2+04bK2K6znfMlHL7UDcH53/SahjHKlr UVfTgSpswkNrNEhQtpf6aE52IFerttcGm0iY9olduU2BiQzqg8xmNUk45+mz tXAzEy0xW0eVbCMhdLliga0RE3044KuwRZuEgndpPze5M1HCJ9U8rg4JPhym 5PUwJrq0r/bAsz14PpW0UYkHTKSwV8l3pSE+Lz9FGr1jIred71li5iQozDbp Zy0wUWVTW26pJeZv4ltMSbLQUvfhkIvWuL/HvyIvV7IQylq77vMxEozFpXR7 dVhIwchwxtueBMm/W07bH2ChSz0O9eonSbD9+8Wcqw0LLVkWey3UmYSEpsB7 Lm4s5Fr08sC2syRElT6bP+zLQhWHPy/vOY/nPb3pJ3WDhS5GzX7Qc8N6n9qo IPKQhd7PnJOYuo753MiUD6tiIdnEkJ4sPxK6LPqVya8sdH57ymvbABKKpa96 zbWykIxbo11hKL5v0Ot0+hcLnRP5vcnlJgm5Udp+OUMsVJYpuCgTSULyGV3i 7QQLne3SfeZ+hwQ/8thLBSEClfrZ+ipHk1C5vVTYVZJAUkuvmn2LJWFD3r47 oUsI9Nby2fCGRBKuPHlhKqxGIAkkvZeTgevN6Z+P1CWQ88mNsvGZJDjXvjJc CwQqmdpP7XtOgvUDnfA4YwI5afnffpxDQrakuGqXFYGK6+MdrV7hPBjmWr07 SiCxS6+2LRTg+mncpMv2BCp6QrU5vMF5O2PTYuxCIFGDxWyxMjyviaeT53kC nSKWB5a+x/5Z5Bl4XSKQyBIrdcUqPO/Wu5wJTwI55rtOVH/C89kLLQ3wIdBr 85u13l9IqJ1ocGP6EuhkeKlH8zcSSh0qNFSCCVSwunVf6HcS7urWfhEJI5BQ xZDCtmbcP8pGpv4mgRxOiHK7W7H+R37GuUUSKH9C/f3ddsyHv4jdF0Ugwbi9 0XosvA8Bi7cM7hDoxFZ7l9+d2I8JEWnvewQSuHhP5CAb799jVONzn0D2AtnE JIXvy5XNGMUTKO/xx7ysPhJiH5iLDicQiF+/O9S2n4QMabPLgYkEsmNOHRUY JGH5X27x3CQC5frIry/k4TxevDC+8yGB+OS2zDqP4H0/IzPnkkKg43mmDTLj JPy44CnvmUqgnENnMj5MYn9dqadOaQTaqalmADM4v+58A2seEeiDdG8nmsP9 oiIsv2NsOpLub7iI+XN3KDmlE6ip9dSyKgYFfo/EUtsxPvFGuWSfAAUaP81U tB8TiEzutPkoRIF9aezg/2HsFpAybCRKgahmu2U2xuOnTkR/Eqcg40d4VAXG QYbLNY2lKLAWCmO/w1h4TUddtQwFxd7aaRkYxwolXjwgT0GBR/qsB8ZKXFuh LwoUJGfb7l2H8dOvSzJNllEwnJyU+QXz0cxrMaxRosA4wM7NGuOSmPs9psoU dPEMmj/heQyuWQfWqlAgqV8uq4Zxja3MikNqFGjuFz/nivWw1vn+tm4N5rdc VzAF68VSuncMPzkgabNr4xus55l587GvG3A9kTaxCqz3QI/4ffPNFFhEt3W+ SiaQT1Xd1votmG//YOsd7M+tSNPLDdsx/medoOgDAsleEha10qagsr4s41/s d4r556zvOhRoSR3V3BGH/ZTdz27UpyB2mVGjdAyBtMf4QqwB69dRtt8J5+dD W6Vy8z4K6vlvuaThfDWlGNi3mFCQsOEvs+5b2I+ghQmbQxSUxzx0Y0dgP5zK 41vNMd+jflQLzu+4xp7GH9a4vuHpgOAQrGe+tkmHAwU+ojey5q9jPe+PU3an KHjWm8m66o319CkKYzphfg9Zqc14nwx0/6pgncN+aQg7uLhhPT5p7uzyoECw Ue92iRPWI2ug2dGLAlcH7cUMR6xH1Mur3d4UeAb9LRd4AuthuSGnx48C5cfF sXx433M71qizb1DgrPTH1PIAgSYGVsj2JVIQulWijrGeQAmP/qtJe0iBfqhb Qao6gXYcLg45mobzEUG5rlUhkFehJV35BOvz9d+vQksJNOQX+j01F+fjuVPW Ah+Bfgn13T3yEZ8PTHaSTBYKf1toLPqZgqZq52Q//F6uuRQy/6GGAlmOC3ex gYVc6pdf0WygINelMav7Iwt1x5mbizDxfIlXtPtyWKhN9bVYxRAFjEShaJ0A FvJpDqryHsb+j/qfZfvg9/6mmf+mMexvfMpfQR4sdKSP4iZNU/CjkSt8x4WF GnIVa68JcECBG1nAZ8pCn3UDIzcocaA+pkDMTYaFSo6aCiQYc6BUuDf9aSIT RZmXRiibcqDXZ+yIdgwTOe7fKJp1iAPlrQHxFbeYiH+HhNQbKw5YJ68ZeuXH RFbyjYpMew4wDnSpKzowEbfp+CZldw6IKh4O+LOCiVZYXTjy7AEHogKWPQ15 0IFCDkY8Lu7jQFfc0LdZj3bUctrVUaufA46OEgzX8+1I47q5Uu4Arq9qsLTh ZDv6+kQuPnOYA8rVTtPBB9uRwtyjyLhZDiQcNte+odaOsvPeuHtK/4JYK2OG REsbapLn6mnu+gXT2on7TLe0IbVuM2ZmxC8onlESOdbQivbohCcobe8DfasV F4O9mpCjSuMMX2sfNH2fzDxeVYcmvt4jPcP+g4P6CoWTq6tQsuBpHxsNLmRY T/UaBRegJT0lT/mrucBwiA7q6L8JQkFhtrpe/SB7LfOC4K9SYLw4nU/K/wat pdumdn+vgWsp+ffkP/6GK9plE6lJLVCxOUpUzmMAothZUd8/sUDO7JrmDelB KKi6Jr9wuxe6tjS1+pcPQtrxMKtWLgcK0kGDc3oIxFMVS9f59sOp/F1yqxaH oJDtKnErkgdvHKalmxg80BOpUFZO54G08DvJmwI86Fa7M11ZwoNKx72i/aI8 MHp5OmLPLx6oixv/KV7CA+W0NKNhYxr6zh0ZstjIg60B+XJVAsPgseJKXaAt D4RKDj1d2TAMXz5vqdlmx4PkGLl0AWIYVL3oavIED3J75L5N9A1DU821yoNO PPj0cL3iDGMEtl/3f6twmQd7xvqXBGuPwFRjZFZuCA9ejAqtTs4YgdCIJ2Fd L3mgH5YpzQoZBSlfETOXPB5M/9esZHJvFFJc3eX78nkQ+bftCZQyCkXmupl0 MQ/iM7tn20tGoU+uuZof8eBYWVJc+uAomKczRDe28mC+KKU433EMFN86RV+f 44FG2p988YPjkJn9+fjsAg86gkbSLe3GQStls2oIg8Z5Frz79MI4HAqayo8S osH7gqDrzYhxCNwf05wqQ8P6ts9lG6rHgWz8oPBxDQ2ZZWL/GB+YgDzuqlRp CxrILU3MYycmIepRhHOPFa73UDE5w30SztkMrX11hIbJ+WwB+RuToFxeXmBp R8PWLyWxV3Im4Z+Yk1/unsH9LufEKTOmwHXXwxFxfxqCA/pOeBVOgfEA4y0R QEOlQsnhV3VToJrhGvgyGPc7a52zjj0F7WK7RczCaRipnLdulp2GA93tyrdj aKgeHBs3854G9XCFgyLPaXjNm92403QGFncHSnVk03C2W/+G49kZYA1RLc9z aNDgNTweDZmBWLuiUyavaWBlOAYHv5uBP5tsvCPKafjipWfcqD0LxM+y3ccQ DW+0vq1QOT4LbxLUFjU+0gC9HexlvrPgsTgcVV1DwysVhzP672ehqzkmXaCV hq9SK9OmLeegNHLqbGsbDVne4uvMrs9Bgp7TxkwmDVEKhT09j+bAPGtrsVEP DZ1ufsvOj83BOodEf3k2DRIqXoFFq+eBX2bRgKRoaGpZ1SZgPQ/v/Brqwvpp OEw1182XzEPiFu2YI4M0zLb5Rd4fmgcvMs1WjaZBzeqDsPLGBbBIElwxMkKD kfdm7eeXFmCDxZWfleM0HF0ZsbK2YAEE+X48i52iYXV/lY8W3yL0luhddp6l IY2SnlZyXoTyy5nbtBZoaLjNHRHoXIQkVYmJP39ouFReKPZp4Q/8DybeKAs= "]]}, Annotation[#, "Charting`Private`Tag$2602302#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUHs01HkcHa+jEhvZdiuP6KVspVKpdt2Naj1rky2RR20P1a5CDyKpg6YW YzdJ5JWySSJvwlfem7OYJinJ8hsNecw320hmzG929o/P+Zx7P59z7z3X5OBJ l8OqHA7HWzn/757Gvt5AHoP0yo+TX937m2h/edKhJY5B4qSzes5YCzn4+Krh +esMzDbGBug7PiOlznc/mCUwWKBvk+g6/y8yc6i6rjORwSyro0u7DZvJgajX CVHJDHyvzjhhbt1ESkwlx9alMgg/9/vZ5oBGokV0vutPZ2A3sMnkUEkD8fFY Nut6JoOy3mQmW6OBFE/YCrdkMXB7dWbtPq964m0RfDUth0GQcOPcD4vrSGGG sMO9hMGprgKmRFJDplmz96eXK/20L9o6B9QQz66vQ8ueKP0ajCyWigjRnL3D dM5TZb5/K1avllYRj4gyP34LAx/P15zT7hUkf4FgS3grg3YH1eT9oeVEo2pU fxVfeR/eMFGUUUbyxk2fRL9k0Bvj7TAwXkLUjsZo2vUp9Vo38HJJIcmxP5he /YnB9/XSiG9DcojlNybWmGRQM1l7h7/wAanW6X1DZMo8Rm5/rGy7T9oFnl89 5QjB+fN0bu+KLCLx3BdbN0MIn/BZy/nTMoh1wI+hzUZChGsPxo/fiCbtSdZu z7crcaFl15bKBIwPz5slShCifWin7khwCeJTBppu31Lq3VMdoWqlWLuz6OLu 20L8qJ+zhhtTCv8CZ1qTofxvqPAITSvDaFB4a/JDISzGDxxOqa7AOw1R9K5a JaZPZnweqkaH8ePpVaNC5PureZlerkPx7h/U4rf2oyb2wR/G61pw0S4yrUjU D7M0nlmy3QuYvHV4lRn5DgZbNKa0j3Rh04aI+LlrRAicl9N3xL0X+43aJlUE IiQGnloStkqI8WcxzKlLAxi19Sg0MFfy6l6nXRYN4gZ/T1J2/yBm9xTfUa0f RF15n2R+1DA0Llxy3ej/Hn9uyPRscRODk+2Vx+gNoW0/PzEz5AMCkvJi9GqH MBSmfiVRNIYqc+40Xb9hFP0mKU1x+ghdh4BvLuuMoNjPvdAyVYLuFe2C4MoR ZG/TMlg9+xPyU7Go32sUraY3j/UET8Azb72uITuKM3a2Kivff0Z4ZMal7gdi XFtw9reSG1Jon9N0OJArhmPbsbgdt6VI8v1VT5QnhtaAScf7O1IUOm7MpEVi cJfWb1+eL4VIl1+vSsQ422wuETyTwjGVM22ZQIwQrflBLzgyzCn1jj0jE+NI ZG3jwEkZMu837JHKxVjXH2XEOSeDRZK58UUORfmJXy4Yhslgf2Eij6tB0TfZ kXE0WoZQWx4/+QuK04Zz3mzOloFpq9avXUjhviQk97NQhtxBw2QdJwoDpya3 OK8pcFMifXp2UPy6rzvo+NEpHHIZXfxoF8WS+Kx3O09NwaCyMt95L4Wx/7aW 7y5P4RrPozH6IAX3burlR1lT8F1/a2xGMMXPoDbr/53C1mFOaVcIhW9anQ+V TcE43Tf0QRhFL1fVpkJDjpfTrTQdIihEjEPFlblybHv70uAqj6JKr/O8vo0c phH6dppZFJ8iN1kV35SDtQrV7rxPceihl8/wHTlejwqfZ+VQbJOen2v7SI64 vYWe2x9TmM1O3+rVIIdiuUtgZCVFK1NgGTYuR9c/5VY/EYo9asUjUhUWJfEm 7KJaiv1aovMPdVj4sR+49U0Ujwo67avMWHTzealqAmV/h+dJDH1YlEVN/Czo oChesdau2Y9F/GbvZZmvKG4tco3rvMDC8d7KIpseivlvryTuTmGxxD0hWK+P Yo7/4/q3uSxUv2CtGSHF3QJLl+mERUXQ339dek/xdORzT56QRcKKdbxdIxQC u7CmMxMs/JnbriaU4olbaVbITAWcbqrPGxujsMdH8ZcLFTBz+uWfGgnFlR6e TeNmBdRVXtyNm1D2Q2aKjuxVoLd483EfKcWr2JNRGecUqDyeucpCTqFREev6 NF2Bm8Za4woFxT2VQK69QoH/AEc+KBA= "]]}, Annotation[#, "Charting`Private`Tag$2602349#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk4Vev7xh3EJmNFiAzpHFMaaVCeFEWGU+kImRJFSYX6UjtDmeooQiGV CqEMZU7ySgqlsIdFxqy1kbAXjrEMv/f3x77WdV/vutbzPJ/7fvar7n7usKeg gIAAG//+/9n9sfe7fywJyRPpG2pqviJJuXMHPseR8D18LviFTjNyf3VD5XIC CXOe6muVu5pRmXXGqNY9EsIDNdRXH2lBEj+r3rcmk5BR5KI4+6oFHY/8di8y lYQApbyBYQEWKtWY8DZ4hL8nWx5WasZCS5HULt5jEhhDO6/MX2Mht2PaMgnp JGyI+bLSp4KFSqb3UibPSKi09LyvMcJC4okupaPZJETPO9XwV7GR64agG2kv SMheuS/cez8bFTcmONnk43olXXsZ59lIzDt//fxLEkwdOef+usdGRU8ormMp CXFX+3sFO9mIYbyQLfYanxezburPsZFzuwKz/A0J5pYBZJUSB4kut9GQf0eC DIg7p9hykFOB12TtexKcLjmkqvhy0CvL6/X+H3E/0nZnmVEcdCy83LflMwnn r4R7K5Vx0Es1tknoVxI8onJtmF84aMnbkRXrW0jQqs3sXyA5qGBS400MQYLw l11JKUu5SDh+122jbyRI7PR1rV/NRQ769sd/dpBQb8SJMtvIRUKnboma95Kw 847vKpsjXGQvlN0+RWE+wYbWgx5clJdWk5fZT4JVz0DieAAXHW2bthUaxn6p r87xSuCiFxbuj6umMK9Zk7wrn7hoi566McySwDwfd82a4KIqqe8d6DcJ5Wej T73v5aJmtvPKdwIU5Gp4mWVN435KlUtMhCgI2GZfryRIIDK543DNEgqaV1pd 3CVBoAlnh9vvxSnYLX+CSFEl0NXdCnqmkhR8L9UXbNMikMia1oZaaQqqReIt v24kkOKPI0s+rqBAWWVx8eceAhn7HWTWr6bA6+77G/LuBKo7Iq1koU4B59Xo 5H5vAh3c+rWsYQ0FLzdumTA+TyD3Ocv/PmlRYK7cu+z6VQINdYvfsdSlINpT 4SPrOoEC3jXoN66jYAsjcdPIDQJFRe4//WUTBcl2hazIuwSS8RZh2BhQcP7r 762MVALdt/yQ+XUrBR4pwm/sHxMoV2Zvb9NOCjqVU6XOPCdQ831je9Y+CqzE x3J9KwnkcHV+8rAFBcMUEr1ejXm4ViawLSmY0XSNO1uLeWjuaOIcpMBtYIdW /WfMQ3TW5x9bCuIGCp9tb8I8fpaJE/9QwGMsbAxnYR4FBvtaHTHfsgLprDYC Pb0zQR11xvNYxGeGdhBIL6AorM0V+6Fc0GTQjXlt3/j2mwcFMVrZmw0ozGvV qKPjKcyH2BET2od5LeTPtHtTMLHwpTRnAPN6r7el0xfXs/dLSBrCvDKHWpwu UKB3W9rMeQTzin5+rsufAoVGyXpBmkALp70lXS5R0Nb1OCF6FPOz1nrRHYj9 k/+0ih7D/DYMmLtewbr2Uovhf5jfsmf9PVcxn40PNdwmCLRm0iPcLZSCUDP7 y2cmMc/WNRq91yhg9v1h4jBFIIMKEh2PwFrOqlN7mkBVD544k1G431n7gi6s 94e4/Xa/ifnXtChdnMH8j6umUDEUrLgzxxzF2sG029AjFufFo2XjwVnM/8+H HN4dChiqUgmJWPuIOfl5JlJw5IXFzFusJ4eUZPrvYX9sRMoasU58OFD3IIUC +5vnpqqw3vx3cYjtA5yX3JPZ8VizBMK2iqdRMLdpxyZzrC8UWtPVTygwTSyd 6sH1ZTyUsv6XgfOyZ6edI9YFcgMu+lkUZFRw8stw/zZ1RfJ9ORQ05uxzmsHz jgSGfk3NpaByk3a5MtYxOtaRhwuwXyemFNdiPrqdisZihTgvlHKrLOb36Vb/ JCrG/fbK7KXGCeQNRXmXyijYaedUkIL5M8ZCPNdV4PPY/DMG2J+sp1YqvEoK 1LSHPpTyCdS3pD/mUA0Fmg0S189gv8PLCk0ZH7A/eTuD0gaxP94hc1V1eB+S RbZU4Hwcb1Tw0fuC86eNJDJxngSC+9ZQTRQUKz5/dbGXQGnrCztSWBRs+7pL W7+HQF3xlpaibRQ4eUvGHm0nENNUQaiqHe+DreNsfSuBVk3xKgK6MJ/lEfpr uNgvh2AdkqRgw88ZKh7nn6v6SuztCO5PLTPD8z3OX8vVd/6juL51V9IavE/L rx8I0vmPAokEhlQj3rdD/dSPpBl8npJk2VVCoC+58vV+QjyolTtxWCQL++1C hWiL8IAZP/1cJZ1AS2Vebv3O4EFgce+iWhqBLPwtsqyleBCqFWg5fI9AH7Yz I7UUebDhc9FMSgSBPIbMjXtW8eDBYEa9XBiBhB7KTd1dzQMtY/uOYCaBTAQK PIU0eTCnr+2q6E+gtx97Tbv1eWB/7nabvyuBSmz3CyWa8vB+sH06txAo2rI8 Qnk/D3zsc6UerieQ015tRqYFDzSfL+r+rUMgwc1LJUtteKB3/dTWaPx/abOs Sb7NngeNzG/LDooR6EeznY7yWR7sllxKWrRzkZLNyUMZd3G/qYoe5/y4aMSs la2XjOtnJvwbdYaLqneZ25Xc58FjUE1KwPfByXU6xz6m8YAz1pkUZcdFRRJ8 jx85uH/jeOr7di6y+nwxUK+KB+b+UbqeCxwUYh6RVtzPg+jgTBOZEA5iuXg5 bRjE9V1rQwcvcZDmRUvF3CEeeJ3Myi7H99+nJ7IJ6aM8SI650b7NhYNW/H4Y Gf+LB4zSy63vdnJQdl7p2fNSfaC5PvPkwjQbNS/7YaRn2AdaPT4XXU6xkXrX gbb0iD7IKD7Qd0yXhW7WGBX8E90HTs/rfi1VY6HxLL1I0X/74OVMn33hChaq 8ZPaciauDyQqGsTI+RbkwWDFbkrtg+GAqskvTS0oe7PD/ncv+4Ap5sjsutCC 9G+eKu3u6AO9hlNmwgXNaMfW8ETFTf0wmrNSRUHlK3Ja3TT7B7sf1ITeOh0/ WocmP90iz4cNgJv0RG6WdBVKFnYJOKz5AwTUE97bJ+Sg5d0lTwVrf8Buv5Km ALUkWHI17Mj2C4MwuvaFi27jGxDIcSkgl/0EhSjhcy8VGsDvfsGtZTU/YcbN fL5Liw1vdaMZsr5DsGV1Z+Geve0ge8BP75rUMAjfTu8QqfkOneua2UGVwxD9 Z/iIoCKe+xFo8lxGYF/wwTSLx4PgXGAoq7IwAj1uxiasbD6UOs5INQvw4ZGo 0WmLaj5IiVRIXBfiQ00a6dDcyodqp12MQQYfLKojBaVEadAQN10sXs6HSX5C reVJGvo9Do1YafPhwRtlj6nlo+Cr5NPAPILflw9pce4chY8f1tWtP8oH9zAZ puHgKKheoGtJBz7omJfbKk6NQnOdX7W5Kx/cupwH5qXHYNPFoLIVp/lAaL7f bWY6BtNNkZm5IXyosJtToPLHIDTiSVjncz4c0tPa/NetcZD8n+iB43l8GI8T tIi4Pw73vc4u6y/gw7OZwBg6axyKLLen08V8CLpkpj5YMw79si21gogPvm7n LQJmx8HykQBDm82HT3dq5ZZ6/wfyZa63L/7mw+m7cRdO205AevYHu1/zfDB6 8vrAQ/cJ2HBfVzVEgAZNckyOvDABFlenC6KX0DBjLHvjadwEMPfGtqRK08DI P3NWpGkCyKaqFTVraLAoSyh98Pck5P1QSZWyoqH5z+3kXfcpiH4Y4dZtQ8N5 KtC68dIUeBweWZt/iIb8dz/3af87BcqVlS+tj9LwNG72jmPxFNyMPfYxxp2G R/92BJcypsHLMGVMPIiGCN9V349VTIPpkEBZ+xUajNYPqV9rmQbVx17M58E0 3BOVSaZ+TAMhtk30QDgN89ZrW10VZsCsi1C+EUvDk3lrkcuXZ0AjfIW56DMa Pu2U8UuynoWFbUzJ1mwaDspxOjK8Z+HbCMV69oIGfCflqEbOQtzRIud9r2i4 ecjwlX/1LCzqHPaPqKSBteea4d9Gv6C95/W2fxAN494HT4Uc+wWlieoLmjU0 vPPyGHFg/gLfhdHo2joaOKbOw7uqf0FnS+wjITYNZsOy0ecO/4byyOkTbC4N 2frzs6lBvyHRyFU7vY0Gj1spZ8Wf/gbLTP3iPd00VKwqEd09/Rv+dLwXtKyX hmrNgtcnNOdAUHrBmKRoEOivvRxlOwcVgV8awgbx/Dp/Wam9noN76wxiDw3T ECqslBI6OgcXyAdH1Gmca5OTJEt3HqyShJXGxmgwHLaQVfOZBy0rn57qCRpm Ga4ZC4XzIPwHJyNumgYF8ZFKJaEF+F5idNrtFw1icwaLOccXoPJ0+voN85hv 8OfU1Z0LkKS6dHJxkYa4kH1bP8wvwv8BwVIkTw== "]]}, Annotation[#, "Charting`Private`Tag$2602349#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkXdUlHcWhocW0BykyBIlGEVxVbCQRYQBw5uIImVAKZbEocSwAVkbiAkq BIgOxYgDSiSAIDjAIhaQFhMHPhhRLLuOSHFgsfENTZz5QQAxU77Jt3/cc89z 7vue85xz7fYeCv6nPofDCWfn/9vDpjsrwJlGTF8Gl17bQZnv+8Ak0IXGkp7U /B3md6lC/7sVj11pOJ2Ljqqsu0MtW3vKa5s7jfc5oXHnKiTUNXOv19KNNGq3 WlkzVBvlMqWXsh00fDhZegumWqmWnlbbzi9oyEyPe510baWeFHrufupN43Nu rs22B83Ul8namWBfGhNi3oHYXDE1GCE+3+VPI/WXUs9j0bepaXt3afd21odH zZa6/EYtrHHxfvYV209e7u/g2khdzp2md4WxflbNVe1bG6jVCfVpsgj2Hp/0 TV1YPeXJ/bS5L4rt/636YU/+TWrvndXrBw7SaD3s8C/7xGvUeMV4Jz+OBufy K1f8r5pKyKw+9PwIy9eFJqGbr1AZASuvvkhk87G1lz9aUUlde7Zs6esfWT+r 5G7vFaXUzLiN+fAFNv9W5pyae5LKKx7puFjAcll3pc2BE5TztoaUkIssr1eG Lio/RMXVBZDWMpZrg4xnw/hQJKY+LrrGMgzzCkazMGQ0fCZIwvKeguqpdWXo WXxzTrOC5S3SHZ/l1aExZKtB3mY5Vtan8N9tkyDT/5bAdqscbtFmp28LJeB7 rTKp8JUjcmhs8w6pBPrOH5o2BbJ5kWe9SeAdBFpKrWW75cj5z9XpH3zbMfpk p4PtATk4e1X5H3PvwSbw26Dyn+UwL6+zd2AeIMVHcKlhWI7uFTI394InsHvu JxMJhsC0cO/GfvoM7q6n8hb+YxgyQep3P796Dv4n0j/1uoYRtvTc3NOjrzHz MHvwcNoI6DVVVJHBEH4xDE8Ith+F2nvnlZDeEcx/0XhZv30UG/lVZTez38Ao OS2UGzcGHj9hauKoApwr4TWDlm8g1/TPCOZPIL6wJttS8gbxG8f+YDIm0eyY aWJxcBy6orFy1bs/YOEXv/rHeW8h0e0rbt0+jYE1T7qOid/CaGHtBwWPZ1Bb Ant5uALyeUZnfv9sFmE1GywWMQrciHlY3Nb4HqmCsrSBaiV2ZvMibu9XwfR7 Y7+vrysRlS35LvmICoUxByyHa5QQvXo0vum4CvX+XBFpUCJ6+fyFsgwVhi06 2/UpJTxKQxtXi1TwL+GYrOpSorecvzurXwXrXyPOHlUrERndkRXHU0NUdXen SqtEE3fppVshajgVOi5O4RDEiozHDfeo4Zs8W5NpRNDZKD1+fZ8aSV7CziIz gtT+L0c+z1BjUNpiJVlGMDRkG55+R43ro4uK5vEIwtqmHCO/0CCzWBD5IpDA eUM6/3s/DaKCFctvBBEcPp3rXRiiga1YXBuwi2COU1Ci4bcanBbuuXdmL8F9 mTDqyE8axGwomJx7jIARRjlZ9GmweZzza/8JgvZA90dmtAaLS2OSqn8gqFlj 0LtEoUHvHDdjv1MEjif6W5L0tNjyvNc2S0jwLqIqd52jFktPWfkYVxJE3teU +JzUgnFLMn1WRXB7JPD+07Na9Cnop5VXWX+bJY9SCrXI2VUf5n2TwCXhUpVv nRY6h+AjAjFBgMSouY/Wov/lb247KALbzPOzTRNaNOXZMfYSAvu2dWaPtFoc ZCYy2zsIFjyoLPr3AgYDncISgy6CUoHnDSqIwa302W+6eghmIhwnX0YyyPOI WCWSEaScOD9332EG/hVrGza9IKgqOblqOIfB37+6cMzyNUG6j2XL+zIG+maM 5yBN4OH+bryunsHvif99kDZGMMttTc/uY3BhjYsw6C2B0ZyJNrWCQdzgxVA7 QjD33llek4EOvHxDm8lJ9n8tRwesPtZhJW//y9ZpgkX7O6xL1utgqNddnjNL sMXOtHZ9kA6vGj1iI1UEptLdD8/F6yCOFa1z0hKoncXWa4t1yF/84YxOR/DT cOjxTTod/gLErhFX "]]}, Annotation[#, "Charting`Private`Tag$2602396#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVVXs4VdkbPqHoJgpFITGF3EKhi08l95RrGOVaaZKQiolcUlEZjTGEaqIL GSISCUvGLYVz9pYQwt5HrmdTbuHwW78/9rOf9/n2+tb7ve+79lLwPG97UoDF YjXj5//vPTItsYd1KMg6yTd+bl+PxM4sE7HeSUGJi9uLF0YNKNWy5mmTHgXu 4K2u4fYBKWpEHzyymwLli0+9Vql/RDliB3ub91IwFrltxpv8iHb+WBJ+FCi4 F9K2e7lHI6r4VLmJs58CVn2ljGNXIzItCS+1MabAP8lRNNmqCbFTDZ0IEwoi WuaG4l82Iecw/qStOa4X/KanLNqM+tzK/iItKXjEDims9GpGZw9c2WFvTYGZ Soi3Z2EzmlDa3dxylIKjL+x8OvjNKEz4p6+DHQWhnWZ5XAU2WjZUvKLVgYIZ 9trTnQfYSDpvp8lnFwqcEqqZv8LZKOPPCerYcTxfnuRCZhobqQUVRra5UaCV X7bN+zUbGRrsKG/3pqDaYLX9/gE2qts45uJymoJNjuXidxfZ6OjCi5mOM3h9 ktF1SpKDPP9T0+30o6Dy7w232oGDhp8Oc1wDKCibFHW5Z8dBQTHZ57suYP6q ez4nnuKgm4eV/+0OpkDirJxzwC0OEtP6ZuZ2hYKYXs193mkclLr2Wf/XMApc FYXrS//loJzPilt6o/D3x61O5Tdw0M7SPuRxHfePKOG4tnNQxf304303cf9T DoU3v3EQ20M+hbpDge9htTN+AgSaHJYR60+igD3zplxAh0CJD77V3U+hYORL /HtJIJDOkVfhdvcpEJErqHljQaCAgsNMZToFd96mJFS7E0jMWybz8hMKcirI eu2zBMqT/HZCI5OC+4VF1UYXCTQaHNGUloP5uI8kmMUQ6I7q4Ru2eThf3rn6 Zn8SaHuntOHyAgrm/YptfqQQ6AwU5l4qpiAo3b3HIZtA3KX9d2yqsN/CkVm3 6wgUXVxgLFJDQWK8nfK2JgIpngmfr6jD+XwzrRHeQiCPjxt81Rpx3tRz4s/2 EIh1latINWP9L/2UFuwn0D+aBV9SCAqEetrjjg8TqCvB0lK4Dec38u8O90kC hRpvEKzooOBVwV3PVbME2jhFlwZ1UeBjskI3YoFAzs5XVfv6KNibaBJRs4xE Myss++5xcR7ezR9MWUGi5LL1qUcGsB/xx2gDURJ9kn+5vHwU+yVt3caVIFEQ J+zdhTEK6H2NW36sJ9G6axYhqj/wvO+y9TkyJCrQXb+jdxLv55q5GCFLIpt+ aiB5Btf3JTsIbibRWHL+I+s57F97lZjzFhLFm4c5LV2gwOrLftY1JRJpzJmL lbFo0H98dCRyK4kac6TqAwVp2FvyKMlRmUS+J6hwlWU03I19UrpElUQrxfL1 ekRoUGppXR29nUTZ70KZpJU0bP7Jh241EplfMM88LEpDZ9zZOTENEg0oSbkJ idNw76Q+d5MmiW629km9XUeDt23YAwEtEm2NyWsKkKIhuiUGVWFcYxB6Q1ma BtaweN/xHSTyHjYz/LqRBqNdPsktGAs+kJz6W44GOin93DZtEmVY9+VaKdAw EVjDc8R4PyvvpKASDTk1k4+8MO55eUW2dCsNr2STllljHO5l9slfhYbQ5/4P pTCWk5SM26ZGg6t/O1WO+5fX9hp3a2BMNlsbY+wa/GI+cQcNY/5y9tmY35zK lVeWurh/VMjJMTxP6hdTXwE9GkQ+po1LYWwQJ6H0xgDz0fD0lsPztxn2fjm/ lwa1We5WYXUSXR7L/Wsr0LBKMOkfDtZPKuN3y679NPjet9a+ivUtsjMVTDSm 4ejv/karVUgUY1lyfZMpxrkmsanbMJ+DKiJPzbEeVFyxKPZLQGfl6tfWWK/F ksEc7O8n1dB4QxsaNixohH7G/mdtGRWvs6OB3WonPiRHIuu1zVJtTtjvlPEj 9Tg/CiuMUtx/xXz6Jq4kbiDRxJKXGweP01CdwckzlyJR2njC5llP7Bdn3y/+ 4thPtqPqpnM0CJnde1uI8/y2vi7nyXmchx2ZT5oESfRHpb6meiANYpZGni0s Eunmy+gaXqZB98MStXR8PiLju/e5R9IwL7Y3+NAogexvHqkcuIb13Jx1u2yQ QMrhlQcCbtAQ9GzPvDw+f01+GaZRt2koYU9l5nQTSMb6lM2Tv2no0VTt68Xn efTQZ1LtHt7/0LEHlQ0Eqtxn5liUSkMEnBOOqyXQKXXVX2v/wflb3HWNKSdQ 4Sqe98BzPN+EudbXfwlk9eFisFoFzkNP5LqYaALJ/9c/+6qSBv/VW5Jtwwn0 vfRY2L7/aHDa8JS36ncCpWQbRFnX4/WJ5fE25wnUH8u/7U9gP6x+LZd1JlC4 2fV/XvXjfHp4XGpXIRBxwsdVa5CGeg3Kr1GRQEoXLaVzhmlIFJYOKpQlUEO6 +F+Px3BejojPO4gTSGLuwY2EWRrKRNQdpqc5KCv39Tl/US4IGToSZVX4f7x2 YI/aLi54VwfnEtYctEXlw0ymPhdKBGcD1E056CK8KFLcw4UJ2Y7wUHx/yPgG aW404kLLeip/WpODvGtYiissuDCincLzEuOgmcvSKwaOcyHrskWUfDMbKXRZ tD2+zgV7v5TQYGM2ulW1J88hhgsxD3fY5u9mo++ZajeEb3NhJoGj0KnFRlWB orpn73LBKc2pd40sG3mLEPHaaVwwcpUIIAabUZaOs+m7fC7U60Wv/WLcjDRu nX7d/YULPpatM2uGGtFuvehEae1+8P8mGrx0sgG1ekrveqDbDyUp2nLlXQ3o wh8vPm/W64cxq9vlXrUNKIfbJqO8F9etB9ZcTW5Aconq6btMMH6iIzWg34AE xltz7Vz6YUMZM5YS/B59yFapi4vqB/3XHZcKhuuQq1zzzyUkrsfX2npkVKPJ hrg+/8hvMHZlyGz7mTfontCJIFulAXjUf+DzS790tK67KEOgegCMTtS/d6rM gKVhkfYGAYPAMqvjP/teAaznJ/L61g6B2Xn3/a/DGiAwNS9ubdUQVE4uVCnX kFC+PUZE3G8YvG/HFvE+dIC4RaBalOgIGD3pOjXB74FOdTYZUjYCgYlBMz5W XMh/CEr0iVFow3qt+zgIx/N2icsujEKmkOb6A408eO0yI8pm8UDv9y6dFJoH ostKV10T5MFcUe061jwPKl33iQyK8CD3pnwCX5WBLSuMF1+t44GE6Sd2aSwD /d42o1YqPCj9nj2r9ssY+Mn4vg+150HfDo7j3ZExqK1Rr9M8xoNAVyLd6ecY yAcw1X3OPNhv2Cy5fdk4sOsCK83ceBB+zv8TT34ctC+GFEv8xgO5ptM2E3bj MN1842lOOA9og5So1RXjEHE9PbIzmweKh0o5B9O+w+rLwhYeuTyQnuD8+DPr O6T6nFvbn8cDvmP63pGi71BoafCYecWDAQemtob9HfrFOdUCiAfrLR9Fign/ AMuHLBEVkge2WotjSpd+gFSx2x8X53hAjS51D3abgMdZNY6zfB6kl4hsTPWb AK3U7fLhLAYGXt962xg2AeZh03kxSxnwEbpTcPb+BIQejOekrWFg98mw+diO CehrrpCoUmTggXWrSYLLJOQOyKaJWjHQwqdrPHynIObBdfduawZIbdPUqIgp fI+N/vLChoETbJOu94lTsKmsLP/wMQY2GYg7N5dPwa34X2vveDIQGGImQIhP g8+ulPEVIQzIekodKK+aBuNhVnHHFQZ07Lf7fWifBvlHPqHZVxlwZ8WkSoxP Q+tyfWGLaAZEU/Qy3DbPwKGu1k2x8Xh/leXJElEzsCVawkz4GQN3/L7xne1/ woJ+6OrPWQywjCO7LPx/QvsoRTz7l4E62PA2685PuHus8LjJSwboKZV772p/ wqKq7YXrZQw4VXgNbN4/Cx1f3+g7IAYISb/HWh6z8DpRYUGpioEUpaE1Q5Gz 4LcwFlNdx0DN7ScotmYWOjnxDwVJBswSLt9TPjYHJTemvchPWN9cuVr1q3OQ uMdN5XEbA5kFYcUXns2B5VONVwe68fwNaXy7uTnY6pIUsraXgWvqzuEWyvMg sGbBsI9i4O2hrWJwbB5KgxvfRw4ywPes3RZYNg9J6jvjbUYY8JzaOZv6Yx4C +u7bKzAMXNC63/BSgw9WyUIy4+MMHF6lGljhxwdlK9+vlRN4fp2MRociPggt aXlyd5qB56tOGyosXYCeoj2/uc8yEAkGK228FqDst8eaWnwGJJdM3TTvWoBk +ZWTi4uYz+nB6Dr+IvwPA5DhvQ== "]]}, Annotation[#, "Charting`Private`Tag$2602396#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjnk41HkcxyfTRrXIZDuVdSREy6oou70rVq6I1bZKk6x6bCVSnprSobDS YdY6QnRMBzqGpUjyk5UabYtIskaamWZHZnxpk5rjN/vbPz7P53k9n/fxsYqK C91qwGKxuMz8v83v8W3NX0jhoUn0VpU2UOKsgADDbilYPZ+eB+6pp5K8Z7Dr e6SIzDKftJPUUrM/yGr3iqXg84PDf8mooWqvVSQs6JdixcuyLcG/3qHCww87 SiRSxHfVii8+r6I+TgqQnH0jRX/DxN0OXpVUXt30gmCFFG3U9qCWvyqo55YV E++rmPucWVURQbeove2HHuwZluJCy4O17t3XqanH/XmO/zL8V9E586RSKkQu VeR9ZP5R/WP8kX2Fenpj2uMEtgxHjwXT1mX51E6u9IjDBIYLfV77tudQk6eU u/cbMVy3wdHKOIvy2+N3bY2JDKz3vrQBL5V6uDQpzX4mwzOWdTb7/IzoQd/l r2YzvJGwZ7APgF30xYecuYyfvzW4Pf84VrKEW9m2DNuMu73Zm4/7za+9+xbK 0DDBSWBBncPt71ezs71lWCEaE12dW4b0gJpUi9UM2znGv4+7jggvB6MrfjJc KAtOaay/AQO3ycZ3gpi+nNYe13VCBHFap3X/KEObwju63O13KNp+cLSIZfQe y4rdpldjVtC2kMs5Mqx1PJm+cF4Djvimnq+Sy9Bv5xZ97NRjPOPGRLgMyMDf 8lLn+uQxbBMDZt4YZPSeJ3k1E0VouWj2m2CYyW+MWxmYJoK5pigtS83kP2zI LTrUgpKbd2LjTd5gvyijNHTrn2jjKDydlryB09HEuFHjNliJ/bsFqW+wYvKl g6LCDixzT8me+bUci6Kd3MOf9iBibuuncR1y/DH/0XJlRj9GW05L4pP/wV3b QBL7RIqz47l7Q20V+PQ5qk3uyTG17/YlgyYFnC1k69QZA/jsUHLY0t0DGEtQ /C7PUIJVyhVKOG+Re9l6xGotQUKB8DSn8S2affKzK+xGcH9BupHZrkHcEMR0 2Zx/BzP/BKdjJkpUPuj+8uC49+h1buvg1Slhv8/e7UT6KMqLYSvjqlB/Tazc xhrDJuESszm0CpaHc7+PTv6Io6kXk3vLhrAq1Pe4iZcaxvsM/bfcHIJ9cVSO xk+NgphYjlw4hB0cibVyrRqVAUsFpGoI/gnze19w1ZCbtTcZUEMQbtpi9PcB NQKKWUYOHUNghRlMKaxUY1r15jOJGkY/yG/ZZq+BoOThD2rdEA5WNp0Qf6WB S8ECyyMsAm3eImG4uwZ+h8aE6Z8RRKeFpUT5aJDkldleaErwwY7dWxOtgaS1 3rzRhsCFlcg7c0mDm4o5hSaBBPXxi7vu2miRXpQa2RdEYHI8xdXUWYvoUNW8 WyEE94ytq+KXaGFRV1e+Zj3BcA97Z7ifFhmZG5tPRTF+D4npkzgtYpbkj0zi EdwadXJLp7TwHmRV9xwkEMlDkp6KtLC8EJNUdpjgnINKOq9Ti66JHob+KQRi hwVlnAEtvhN3WZzIJGjNK08ZnqqDdYq5r+FVAvUa1vpTu3SgPZKMX5QQZH07 o3/HAR1eqqTPrl4naHq2PTMuTQf++spNPhUE3ELeu7fFOugdQ/ek1hH0PeZO GWnXoefVXY91FEFni3Kdyysd7mRb0baNBGvafkwrUeqwix5Ob3pEMPPA9Alh RjR62zOL2R0EY0tfbHT0olGTNvZTx3MCw/XNkY2hNLI9NzsIugkWd+x2ehRF I+DKwqpVfQTtvIVhfik07Dbk8jivCULP7tomz6FhYEovl0gJIr7hRbqW0Kjd /1SUPMD0v62o9G6lkeu8ODNESSDp+tSySUZjt+RcmBUhiDRtqG5V0wjMGz9r ZIRg/LuCI6McPewDd75qeE+gMnEVb3DWY/y4zsv8MQIbs3LzQX89+m97bo9U E+x/N6iOj9WjbrvgKxcdwaNyKvJ0vh55lpNH9XoCQWdpiKdej/8AvkgLEg== "]]}, Annotation[#, "Charting`Private`Tag$2602443#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVVXk4VWkYF4oo2drIVhSiUIkavUoz1lGkUhE1tiaMdTA0tkiyhTKRNqqb ZCm0UJ/94rrHltwW6z33ugb3RPZ1vvnjPOf5Pef93ve3vOcclYt/2LoKCggI 0PH1/122PEVVtosNHtI5tyLOVKHuVEtLERYbdO7y/1pXXI3Cjm4S+vCFDcbW x6fPatUi+SnyXUA3Gxo0nw8rb6pD754W++3sY8Mmx8Miq4k6dObM35oDA2yY Ya2+rOpaj2bELAf+4bDBLDe8JnuwHmVUbMw8xmODs2nwpOA5OtL3Jm1WDbOh dUjwW1U1HXUqFa9+P8oG9ZPpj9VUGlBA25Uq/+8YJ+yQJIIakEy0RYjmDzw/ //IvfHoDerl3o27/JOZnmt3nI92IbLhsXsYMnr/h+9e19o3oe0bRA+t5NkSQ r4rt7zSiZPMr9iuX2MCb2lfV+KkRMfM3NPgJkSAwSBZkmzYhz/PscI1VJAQn WidlhTYhccmi/X2iJGy6pxo/n9+EzP3Nn/4qQQLrVtv7AlEG4qlucBKWwvXk 32/s9zDQtU8DG8plSHjz/NUFWQcGqjMMi1XfjOvz16oa0RjIZdjsUK88Cerv bUP7GAwklL1+6pYiCWaUUbcgn4EOCxS6CqmSEKGV0L9hVzPqKw5VeLedhJSO C9LaVs0o/DezTh8NjMXtWOKXmtH7+v6jPbswnit/6XC/GTkEFyyk65LA40Q3 8d40o3mN0BLLvSTEuf301retGRkmyqq+NcT8RMsscpebUekJU6H0oyQ8qFO0 TrRhojjLNzFbTDHfX2Sz2i8ykYOJhuhjcxJ87nSDrz8TCe4RX1tmjfsXNAm1 pDJRp2ZY8iEbEkQNDxRlPGQi2tZRKfoJEpRXinxuLmQia+mWDSx7jPWO70xs YiIVMeM7zudIMOAekFPuYqKJFcXyQ47YX1uDjbvZTJQ1lqo8dxH7KW7EImaZ yHtIKCfKFfPf9V7UTZhAR/oD1MQ9SCh6Ia8WK0EgXuspzS1eJFTeqb3iqUKg 8gZ6fu4fWE+I8BYDTQIlVRrs1vYjwf5mmleGHoH2FsntPRSE825j18gdIZAI 7UZZfQj2v2HO3sScQF/uLxgcC8N60bNa0eMEikzuMXKOxH7VuNv6ORDI7tqx Sl40zif4pKPcRQKph1ce8Y0loc8yVdrdnUDzf+rWzcaR4Hw38MBZTwIR3o9M o25gvbdNEid9CPTQTaZJLAnPr5p8dSCQQAHnr1qlpZDQqjJttjOEQKanJgn5 NKy/9yOrIYxActZuNrm3cL6HyQHZCAKN/tzVofXP//x7PktGE6jSyOxUaSb2 xzpQ9UMMgdL2vWUZZZMws/2LgmIcgdy0Nc/V38fzF0w26MUTyFAtq9v6EQk6 LR4n5m8QaI3CGueuXBKOW41LhiYSqE/2yoDTU1xfNBzxMolAr9bwXXjPcD4v NZofJRMoVthp0Ccf8+3Kl/41hUBnF1ouzRbgfbi5dPklxtoTxiORxXh//K8P dmAsMFLsLVaCz38eSfj/eQd761hqGQk0sHI4hvGTr2n+8m8xn+xM6+e4f0iH 8FROOdY32n+SjudbMQKDtT7get1rjrmYn1INd66kkgRjlRsWJgkEGn93+opR Dd6/Qvp8LtZX/7Jhua4O93ugadGE9d/JM4yybsD6zoyKlsQSyPNRnnBXE37/ 1jat/O0qgYwz5a85MXG+vrtWsyIJxL2+eMOnHftXw925Efv/NtJbYvYj1qtl XDMQTKCEkN6UyC4SGvyjbIJwfnqXqm6lfsP567Ell7wItPKC3ib5XryP3Ijb Y5cIxLLPyczpx+dXWlcUuRIo3CzmfgkX+zs/6pqO96n9vIeDzhDm+9JCuuM0 gVQDLTfnD+P9OiDyrt+WQE0PpdJyvuPzoweUfM0IJDufHZs6h/l6X0t308X5 SkWaSCxiP0QdY/fsxHx3uAjEL+P+qx/7fFQl0Hk7zb8ihTlAW7FpPm0jgWgv yrx8JDhg/EBncf08E83V3NEckeSAen/f56QfTPTrl7BBdxkO9Nmnr+0dZqLx VSYXnDZxwCzv4QqRb0z0k3OLnfVWDuicDbsU/o6JWqV5B7X0OWDwjCXs5MNE WzUYM08NOOB8siYjyI2JAqGgdNtBDlSaHPvm6cBEcp4Bu+WNORDsejGbb8pE LnUC28QsODDzprbwlAITzQRtFuM5ckC57En7eFUzUum2YOXEcKDoh4f7xA8G iq8+WHgyDs//vYocIRlo/KlWrMgNDgi8una4tpOBqv0k9l5O4UCrx4lgydf4 eyvanqyXxYGI7wU1qsEMRNtzxrSqCPeLjv7z0kQT2hXvXtbzFfNtYhvm4P/B 7T/sE1N6OPBmfa1DZ00jWrYzdznSj/vTRGaGixpRq9JO6SdcDvBOPNpGj29E vqV8L68xDrB4d0UNjRpRSV+g2sIqLhwfOui6I7sBHdh/NX2zHhd0Dr8MXzCn o08XN+tn7+WCuvm1ev99dOSfVNClvJ8LEUURhp+U6Sifw5JT/4kLxvujKIfp eqSYrv1Q/xcusHRcHvrn1CPBsU8vTpzlQgoz80HndB1i5GnQE6O40DBV5NVz sxY5KLbMrujggnPpP/GSSVVIYrNfaXknF2jlut15flWoSma9byCLC3EjNKRz ugptX32Ox+vG9QGlLstKVYj6wf3UwuNCa9/J0GdFlSiqcelV9hIXKpd6swLv IkQL2OVtqDkIlR/Uw/Qny9FkU+KAT+QgFBEp6jF7S9A/wucDbFV5EKEQo3uo MwXJ9JQ+EqzlgbPhSG5Vbh6svBJpZ+g7BHFxb5P+1akCgWfnCwek/4VWQ2Xh NoFm8MssTJSu/hdoRbZGTK+P8H5nnKiU9zCYWe3Y0n7+K0hZ+GlFSYxAgvJh lvqhfvim3doRUjECH48JPzgejXO9B6rk+VFIGfz5YcXcEDgW6kspLI1ChZDu 9IoJPpSdnZFoFeDDxYXrz/XFKZBY9W5NtBAfRjv3KIdupaDSwUh0SJQPcvoN H/bYULBV7OhyiQwfUu5LrXcvpIDrYjNqpcGHhhUV7cH7v4O3nGdjmB0fxBTj r9ctfof6Om367tN82J5UbxUmNgZKvlTtwBk+fAia22u0cQxa6X6VZk58iGJk tHbrjIFeYMhr2d/5YBzJbbnrMgbTLbGP88P5EBympqBOjEFEzMPIb3l82HJW VflQ3jisDRKxuPCCDxHpDoahr8ch08NLmlvIB5rVUb/a2nF4ZWmYQ5XwYX26 Ij20dxy4Um21ggjrEXGuiFz/AyzvCYhqdPChsuK1rPjVH7DhtVNS4DwfnFMk eMaeE5BDqzs1t8iHtRlJbsdDJ0Anc6dSuAAF29dEvfeNnwDzK9OFcSspqN6v N/svbQLCTJLbstZRkBj7ZRviTsBAywfZ6m0UqM9wTXXcJuEFTyFLwoqCdGbJ rpo/pyAuO8a5x5qCiKuXJJnxU+BiO6pWgH3WjL0Pi/emYEtFRdGvpymwknmu 9ZE+BfHJ5+oTLlJQdiVsKUh+Gjz074yJhVBwN984LZsxDUeHBV5/CaXgJ/cn 2qkD06D0wCMs728KlNel3qyanYZPqw1ELK5S4GW9cI6lPgM/d3/acj2ZgoQ+ cY5K/AxsvSprJvKEAunJG5pR52ZhySBsbReNAt+vinS7oFn4PMpuf/KcAouA psm0tFlIOf3K8ZdiCvj2zzd7M2dhWdPWP6aCglX7xGvNTefgS+9bg5MI8xHY sXm/+xyUpassqVZT0E6v9mNemwPvpe9xtXQKtORuVKsy5uBbW/I9oQ4KDsiE qKk7zMOb2OnfOjopmFX7USEUPQ/pB500clgU6CTqNig+nwfLx7tKjvRQ4LFC oCR3eR62n70dIt1PQdbHB46XtRZAcN3SoQE2BX9dV5jVPrcA74KZjZFDFMin pVyYRAtwW3tfss0I9ndQL5Q9tQC+A3ftVCgKRGltZ8p1F8EqQ1hubIyCULNv ZdG+i6Bu5dlbOUHBiYQtpS2vF0F4xcfclGkKlqpdmD+LLEFf6cHfnecoCHJM uSPpugQVv+fs1lmkIC/yZk1MzxJkKIlPLi9TUJzzYqJxcRn+AzelpTk= "]]}, Annotation[#, "Charting`Private`Tag$2602443#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHlczHkYx8c4ilzlyFFCx6IiNq0MPi3ZqBElN0mSNrIVUVGaVKaSCV3S gcoRmbGVIzFTjdBuKkORDjLTpmO+pU2Z4zf72z+e1/N6vz7P53l9nmeO5x+u B5gMBmM3Xf/3eP33cZ2hUnyKOhTFXl4obMxWLdt4SoqIiJBnJtv4wnupfk8a wmndvqTV4dBtIYfXstKDI8Vs54Hi3pl5QrezG0UdZ6Rg3Cmttwm/Jpx3WrQ6 IIb2dxvxM5IyhMrji5//4Ephl2CQxH2aInx95LpDZDzNnXWPElwuCK95T6oa c572P+pK0ARwhcfco9iXEmke/TralRcmnOHs7ZKbTHPud8n+YzvRs7ZBYpFG c3OrvdX9ExCtXLe1OJ3mi46H2DOj4G25YFdlthSiHKalzcAFFI6Ve3XcpvP8 ZKVT6HoV7L+Cgi2e0fPFoZfuhBbAqKJdUSSi7+ux7c8ewce3km1hKyvofEw/ ZoO9AJfzbSOdX0ohUMmkoyvuoz1WHe//hta7Rg3rvVGE0+uis4va6X0VK1ic WSV44+6z2+qrFBNNzyfWVJTAJMhp+t0uOs8iX7eug09QdU33Uk6vFJvepdr9 ebcUk5WZMRcVtP99aPvR+ULcKnjg5z9eBv96iq2vLEOtXgfLwkaGYLGf+duI SsxpdnyfEy2DnWmHy+GXrxFXzuJv4cowz9roQ9PYGny7aRGjFS/DuqASpqFL DcoDx1sfSpSBsUF/3IQPNfDSfsNbckWGIkHQPu+jtbj18w6HMoEM7ExvG4Ow OiyMO/ig5SO9P6Z/wcpICZb/EpU0fUk77Go1293cG7B7Vs2PYZJ2rDB2TGUZ tmCgKqHNn/MPmMvDDleHtSFthPsxV5MOTDxnHlrEk2FSS/F1prgDvvpTPcUn OzAyjONmG/AVZT9GJs9N6QLjtju/Ta8TOuWeQu8AOQLT+Ql65Z2Y9XzJx7Xl vXhqztXWPdKFT+LOhFf236DrGGgROb4bfAfqu5mgH02WtZKQ0m40UoNcid0A BFkwkbr3IDzE+rio7Dv28G10DakeuGWfeal0GkJE9DVOU74ca7au5WVOU2Dc CS3HfQVyhA1UZD8wUiDdx0+vnS/HvfyA9RIzBQqdbHNIkRycUVNS9Jcq0K5b J2YK5Zh8WeFR7aKAUxZDe75EDtHj+d1D8QpMfbj3fJBSjlWsoTOPhiuRc+v5 VoVajtF/K/r36ihhlW5udJpB8LuOlWLsJCXWhw3yuSMJsj7/MA6eq8SpNby6 KxMILp5fHZv8qxJtNc8mlxsTVCa35g7nKFHQYXhlPJvgBGtU/oWRKnAzoz1a nAlWHE3wMZuggpdrj+k9FwK++Y6nL6apYFBaKtiwjUD9wjhwsYUKcbxdlec8 CYKmVVTlb1bBx+Zy35gQAjPD2rgLeSrYdzEeNp4k2JfpIJklUMHoqs+p/HCC qzUNncISFepHL9NyjCLY4BnOsqtVYW1zvUEsj2D194xkZ5UKc6Mmr9O6QcAd KrgfvEMNatmpcQ23CLw2+xjwD6jxoefLmxt3CHQ23qTGBKqRuK1wz2/3CWYL mpiseDU0C1yPRpcSZHyIzXsqVKOx9fGyLUKCGXb78zyq1XiQNIcyKSewnBKU t+qjGkeoXq74BT1/xCS7dFCNpjpe1nAJwdDN+GfbrSk8ihncL3lHIPo8N8bX nkISa+/8nPcE/ZvEk3rcKDjlLSxa3UKgfGeaFnyCgtnOlBC9zwTTMhr9r8dS YE6gVrV9IWgWb02LyKBQElz9ivOV4PrSsWV1Ygoplkt5Lt30P9+pTqY1Ugho y3CbQwjqWxlicR8FduqIGX19BLk7KpRFYzSYxz7cKvqXYHNcr5bCVIMRw97m Jg4SEIfulrP2GnwqZvl6KAgShqqdlvtoUOqbs8hKTWB7tbKnOVmDVCOdAY2G QFvZp2Ot0eA/1qoFEg== "]]}, Annotation[#, "Charting`Private`Tag$2602490#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlHk8VP0XxyWpJGsqokm0aBElSQ/HE0qWyhIlIXkk2bdShBahQouIh4pI i6VCsvRlZu4tKoTwRNaZIcvcGYSx/r6/P+7rvs7rnvM5n/M+53WVXXys/hEW EhIqxc//37dWtcYOXGLB0W32ZOv1QvTz8YzOkVAWVO60D2V+fo/ykrzKWq6w 4ImevUGWdimKjO/Qc45kgcYd8xO7m8uQzc0jlf3XWBCxmCboV6xAm8Mr9/tF saBrmJTOVv+IpoM1CUE0C3isTas2KiJU651x8OotFhjE/eR+5yL01E22RiyO Be4+CcdMbStRoON18/sJLFj9ZfxsyetKpHDYzfJZIu7XMvV3snEVGjZuadyW zIJWi5TqoZgqVKlnYluUwoJ6K/ceZnUVctu+5ST5mAUFjy4nT+vR0d4Nqb8O Z7Dgs9yvNOUAOhJXEndueYbrw0y+nMmio3fiXNf+Fyww2WkhuUeYgaJEnPp8 X7MgWlVgqbGdgexn6s4J8liwzhPk5G0ZSGjojbdYIY6z9pcfymCgxt71/HvF eH5n7ZE6goGy2+4HrPmA/Sh0XGb0MZD5l6CL2z5ifmGvmw5vYiIagzNVWMmC zQ7LnCWNmWik1C5Mj4F56+Uaxp9mokcv9149/JkFUj+IHeJJTOSZ8VKkpQbP Y/QmfkMBExmkrLnp9I0FOWsCYM9nJuLEzN7ybcC8ju0Y8/3DRB8ivSUETSxI zpd7mitGoNshnQmRLSw4npuzUpxGoJ3nqhLvteN9h49ZHDUmULjJjceFHMz/ GS2IjCZQg6O7g8ZvvJ9bWv+lJhFINchM/vUg9nu7cdn3LALVPJW+n8nDeq1m Lt6VBFIsGTtCG8X1ugZZnV8J5FPbIp76B89b7DxHbyXQium0qHtT2O8nGp3i EshNOtJQYhbzO70oxUBAoA+bXIVi5zF/gco5mYUkcrTZcilShA3J+ov4xnIk KvBYvmdWlA1HHXxqc5VItDCSN3pxKRtMhGd5GRtIlJNb7OUrgfPpVC9okWiK 8WjLkBQbKtt+/RzSJZHFz9C+s7JsqJc9eVbzbxI94Tk965Vjg7uNZZvkQRKN iBqedlrNhpLFyn6x5iQyUtq4tk2BDbzxAfNMSxIl7VraZqvEhhwDRpiDLYkG Dg0lNdDYkGBVN/fenkR/OdfZHF6P4ydHS947kigu+K10jSobCl6kRZxyIVH3 7cRa401s0CkSU3r1D4m0Mi/eqlJjg0YCY3+GO4miPpw00duG/QcnJRmdJ1Fr nf6iD+pYT7vk7X0vEm3lKNO1NNkQcd1L6a4Pia7MiIQX7GKDwZkKa30/EtXL 9O/bps2Gz+fFiH/9SbRe7cvkcx1c/yanKTeAREGQV6SyD/fnnfvpH0iiz8fu +j/WY0N/urLKMI4VPAN3rDFgw/HLynylIBJ5XrUberifDV1S+aGiOEbJui9k jHH/Iv+x5zhfJl/JLe4gzvfuCluIY1dCSEXMlA2b16fuVsD9itt6O2+Y4/1c atgxjP0tHSH/XXCEDZPVqRfDfEnksOTliTBLzNPiwIqv3iTKW3tnpcAa+1n+ av4/TxIJ7fZtDLTF872+qJHjQSJrM+sE3nE2rD5xOXEP5pV9WtvC8yTel2b3 yhjMc/KCvFj/KcxP9/LDNMzbNG6GPOOM/WyfpoKcSJT2rPNapwsblhxUF8g4 kGj/96zZ5rPYz5cPx9JtSPSgL7rUygPnKynvjTtKor7Z8xdqPfF+CsuHjPE9 3N6yk0/4Yf3eqFxJQxJ1GMjl/R3IBimtWyoq+iTStJv0qAjGPPKr9i3YS6Lm ax9ZhZfxvf1IHqOpk0j5l2lr5g18v9m6KwX4nmPp+/KPRWO+Mzn8Hgl8f8+3 RS2+hecPa6ffX0wiur+E1vkEfL8uF8UtJgnkuqQhfmcq7n9TvlSjhUBfh+lu rDS87/D0btdaAu1ufKf38Ame74SV8j8EgUTTEwcFWfh73Myur28JlLPrxMGq Aqx3c3La8BaBpORN1wa8Y4PvN3Pr/ggChczp/lEtZkPr82HRU8EEMq1WzIwu w/OVn/X+4EygQceuuSMk5iFiSTPbRSD12LPFHW1YP0AQpFnPRA99jt9J6MD1 Saf3STGYaN7mkOv+bvx9QG4BWcRE9bStMtkcrGd7hP8+hYn8irheXnzsp7yP +dGFiQq7gjbMiHKgUtBgmD7IQLp7rj+Q38kBIZ2UBwk9dNTsIq+dpsUB9zWb gqUb6CggLq9l3R4OfE5ToQVX0dFrdqvC5r84wLv7ynvwMR2tfbD9qfYBDjgT LkGxJ+lImN+ca23PgVa3lc1l36rQl5dqn+5c5UBB+DL9zvRK5LC2TrCgkQMG i/Wb28bKkIS8f1HZD+ynM8mRxyhDVbJyfkGtWI9mrdt4rwxtXHqyv/8Xrh+P yRbRKEPUKKe5rp8DUqxuszXupehq9dy7tDmsF3GoRq+uBOUEqnvv3dIHT4yN Jb0uFaE/NXd6fCP7IGJUXcc36TVKFnEMtFLtB6G5mtHreR4g21GUIczsBw21 6hClgjewKCzSZq/fb1i9Kj2CkmGA0AvH/B6ZATBQbOm8mP0N/FPy78jQByCw npfopfoDKrZGL5H2HgRP8YkHqrNtIG3qv+2qxBDU9vYErbnWDe3b6xtDyoeA bDDSkv2I/1PpoMpyHAabDqOJmG0DcCpfW1ppbhjUslIuGClRUGw/KVEvxIXy AR9VGy0KJERLxa8t5EKaklt8gBkFlQ56S34v4ULWoI9sTwgF68WM5gtlubAw UiAb2UIBx9Vy2FyNC/dkxtX4pjzwVvCsDrXhwu51XwpkpPhAEts/7bDjAv2b XVaxIh9ofhSz5wQXujoXlLmq8aH+k3+liRMXflcnZHXu58POoJD3Kzy4YO9c I2kdzIeJuqis1+FcED2jbnGgkw8RN55Gtr/kAu+w4ptNpSOw/MJi09O5XIhe 8viu1acRSHH3kuHkc+HSlYLYmKYReGe2N5Mq5EK7Qd8hRWoEONLfmcKIC01a te9bVUfBLF1oiVojF8Y1Rz2/3RuFle+d4oKmuXA2Q8OuIWQMMnMI26lZLuSk rz5dGz0GGilbaeFCFHSd4+1uTxqDQ2ET+dGLKBDXqTBULx6DUMP476mSFGRn PT7zbnQMeuo+rqCrUKC/nOV5zf8P5PYrpUqYUxByiLuLiByH6LQbzh2HMceo rS+LE8fB1Wp4Q54lBVdkdc1qX4yDYnl5gYUdBbkbm/MDGsYhNv4keduFgqat J56+3TAB7tqP+GJ4LxUV0rKiPybAaFDo/c/LFCiXxER2Dk4A7Yl76MsrFKyj 8cJHhSeheanOYtPrFHySHK1u0JwE41/NijHxFLgOue19eW8S1l9fYbI4m4KS zZv0V50RwJxO6PKWHAqeJRpVVF8RwH/DvQ3ZryjwXpDr0J8igAS7d6cOvME8 qu6NhjcJYH6LVcCNcgqmyh5P1llMwc/ODzrHEAVbVCsakr2moPiB8pwqnYLn V0qnlsZNgfccL5r5iQJGu8SdFd+noP17fPrCRnxnszqqAaenoSRq4kzjDwqS j13NWR89DQ/2OalltlKg0RusJ1UwDWZZ6oX7OygwKJo/ry0yAxvtH4bIdFPQ LdbnWqMxA8KSc/o9vRS8m3aSPe40A6UXv1VH/qaA2FPmkcuYgYfbd8dbDlGw 0OSK1ampGfDr+ddGmaJgpKXk5ojWLJgniSjw+RQEaR297x84C5vNPTsrxyj4 Nm3K9C6dBZEFTc8SJihI7Q0Ij106B11F+zycpyjo12I7DLjNQblH5g6NWQoe 6ZlENnXOQRJt2Z/5eQr8NKnor7Pz8D/tCT6Q "]]}, Annotation[#, "Charting`Private`Tag$2602490#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjnk41HkcxydHJi2FassilDSSEFLKWxa5uugkZ/ZJtmxUi2e7VKx7VDqc qybHCkNFOYrkii1pciRHyYxz5ktLMczM/vaPz/N53s/78/68X1q+v7n8IkWj 0dyo+X9LrDyd32twQZsq27+snVk14jB2+91KSqt3z1cRh1Rt9W7Zt0ub0h+4 MfSGUCT8/lCpaTWlT/lxQmPi8Tnu5htbXS6sttUl+wzehAkrNPYFg4tLU0+K y43TEFnmbr9Nn7rv6wq48C0TnS2WsmUGXGTeuybvlsHCOp5WjYkR5Q/T7/PV svFWechC34wLb/sOV93KPGgzmqdzzLnQvKLs28DLx1kUlqyyoPLWaieOiwqh euLMhp+suBg33q1oeq4YfnW0VfKO1D8BbhQxSjAdskJ+yIOLojVBo2tLK+CY MFd/1JviY0gzKsMqkX6/70qfL9V3L8f+9ZZnsG7NErUfo/pS/FJJyXPE6RlP 1AVxkajpFJT9qhpaPY6drAguOrtsDK5ceImYGgv2/iiKp0BtqfSHl/iaox8p F8vF8samsgbjWtQEK5r8msgF/Z9mxpaBWvjR3zGNU7n4NHNIHIB65G48vONF EcWbkj+Jj40wiDlW2vuR4ktyZ2VVv8aWTVeTVhjzYOjTMBN5kIN23xVm6SY8 6Pv8Wb81hIPTCYUdmpt4oD9cRe+7xUE+t1N17VYe4jYWfx1u40Ajaf1dMzvK Xzrmqun6HlIT7QWubjyECu8wrR3b0JzHaIi/zIOmqqNslX4Hjmi0zMzj8GCi x1q3vLkLU03x/afCB7G4fEUjVD7jjoznGZfVQ2goTNZ5sHsAKr0l96Rqh9C1 +EyAtMcgZM+H79scNIzEIoOdt2+OgPa3J7tfeQTJ1fsSfaP5CE5hxyvXjKB7 T2KEqds4nq2LoisFjqLQK/hU9OAElByD9S8rjsGvwK057Mi/6F7/lhNWOYYQ b9Npq++TKMrA6gFPPs4OS71MD/8GD7aZkrqYD9vwrM3Hl07jUsTd8O48AdjS Ppau/BkohMg5+hQIUGFeGJQ8OYMU/5PKPLYAGX497l9mZ/DIaTOLPBbAytX+ 6mV5IXhKrbVSVQIsdJ46T3SFcMqg0RkcAQrI/HzmUSGWPfFKODsrwPZC9cD9 vUKwcusOCEUC6DUYlhjwhDBMWbfyIo1g/FB+jYJACIfz39lRsgSdDoKEHpEQ 535mtqYuIggJXHC3Xn0W/S3Pl9SsIhjiHY5t95xFwZB6qqIzwfFJkW0XbxZR 6RHevbsIfnA+8JI9Pgs/F75O4V4C7fgfd1wXzkKtsrJo50ECtaZlpRcV5xDD dK+P8yXwz72wa/6mOfibJU/IhxHM01FV0o6dg80o7UnXHwTVMdFvpm/OYWWm /7m8CwTdu4QKA5lzaF9gLud4leC6jtonYekcbHva1aKZBGdOqjZiYA7aV5fY y2UTXJzvPypjI4LY/JxCRy4BrU23/8YeET7wv7zLfkCw3Tg328FDhMSDjzzs iql8xeNyoxARJHoupyMqKV63tAXmBSJ09ZWZ768iUNGJ/8uqQoTSJC3x6hqC e7IOrpGvRAgUj0fVNhB4LjfK6+KJ0N3KzJDmEIzdWtJroyPG08jvRzltBF5P +WnvTMVIsvBisDoJRJ+vG7XZieGUZfDYupfAbkC5PTBAjDVut8KUPxOMLHs6 rXteDKlFYsv+LwQZ7NnR1EQxykNfvwofJkiz5Ecblotxa70pc+8YgXVH/7ec t2IE9aft0yIEzJH63mtDYjjfllGdmCD4piBatEdKgrXOJ/qqJwlcaU/ZoRoS yMx7fz/xO4FNT3gc3VKCTyUWAd5Cgsyx5uIxXwkqA1gbDEUUT/ZDZ43rEtxe uXBKIiE44XUgW18iwX81TOYJ "]]}, Annotation[#, "Charting`Private`Tag$2602537#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVVXk4lO0XHlsoJaI+S/YWoVS2ko60WtqklIRPxE+RZElJ9lS2vsa+RChR yG7eyYMsSVm/FJWtZuzzGsk+4/d8f8z1Xuc65z73fZ9z3nkV7a+bO/JSKJRy /PvvuWxoY/avHAOq6dPSBlkJaNR4PL5DngH9NUIHPnano312rRYnlHD+96ZN m/uyUZR3kdgHFQYYCju63pV8iQYiYlsOb2FA+sCXz6uf5CGtzFuPalRx/Y/s Lpns1yis8uIxA3UGUGSyFwLdCtDX1v0CldsZoCmupHgwsBCpMRVrtXYyYG2j ovATnTfIf4n/XuFuBkzKjGXofXuD2sSH9dV1MF6JaSPmUYSUVJvnXugx4JSM Sc0+ThHygvxSZX2Mfw89Vv7F6P3Zxx5PDbAeSafEopliJH3Nc4eMIQMUkrO8 TJxK0LUgy/E4I4wPnZ+aaytBKGHvS/HDDIip+0fCXasUOdRTlFeaYP5sCJsb LUVl3372hZrh/IZep5n9ZUh4qiGF5yTuL5f6IzWqDOXLRa6fP8OAgH3vL25T KkcUbfdOz3MYzzfnl3ClHJ0xPRMzeR7Xv24wrn9RjuZ8pFYOX8L8fJMNSooV yCRqqeGyHQPs8uhqeRcqUGpWX3CfPfabaU4+i65ARu3ZnC4n3H/Nx8kr0xWI OhROM3fB8QrqwevKlWiIc9Wn5RqeZ7t7ve2pShSxbRe7/gb2u+pk/fmsStRr KJl/wBPvwzr5YURzJdppOefy1hvzedz/3/JkJeoKrvpVcgfXr9XcOKJDQ6pJ GRma/nieEVctAyxpyK8wxOZVAAMKi8pfxXvTkOIPk6+Zobj+rmmpXyENPazV LzgbjvXw3x5K/URDUy/UwwQf4fvJUtLWHaGhWo81WldjMF/qt2FBWQJtO7+8 cuMTjPdR0T2/m0BPDCYHWmKxfn+hf8yNCeQg1BG9KxnHOn99uX6DQB8naq/8 SsX8p4QfPA8mkHZnsUFcOr6/4dzxfCqB0iqyJI5l4v2sy3jxOItAK9Jix+az cf2BM5PnignkFhxWm5eD+TgpsStqCPTF2SfxUh7W+75DIOcTgQxPOLuL5uN+ 6zXOGnUTKGf3haM1hXj+218e/P6TQGulTORuFmM9LFcjvwkC+XL3/lEpw3yl 1be2zhBo8Kfax64KXG8V+57JIZBJk2xmOMEA9/baDjo/HRXlr769twr3V2Is FKykI2kq99R4Nb6PA9Mu9aJ0FORLbkl7h/dTGLeeV4KOxmz6uScbsN5J7SqX DXRkcaj9M08T7m/cw+aTpiO6au2r4mas/0PHug4ZOlIRLQ52bMF+xzQudsvS UcR0ptWG9v/ehxVdGzfS0XQ3dWdTJ95HdO7VTJy/hEKF7nThe3RM7HXF+IYs 7z71bryfFMeWACk62v7Qqaz3G84v3qzsW09HcdfPR8b0YrzXU27kOjpatjB2 MBrAcWBtbxTW77x3r/70T+xHcqs/A/trk1cTf87E85FiMqgCdKQnIDtiOYL9 TCsJpC8TKH1UpFp4HOurPlokPE8goTZOHMHC9aEKr/5lE+hGKcvVlc2Atpqx JL5RAvUk9R2Sn8bzc7YSSxwgkFFAm0z7DK53C4yM/0ogcdOiJq0lPG/7CI3u OgLd1sxMZ3Jxf8pZlgKNQD8lqT4JPExQ4KpN9uQTqKTfa9PSCiZMnmVr5ccR SLbhytJrYSa0XcuIbn5AoNA8y05bESYUCipbX/Yj0DnvPYHvxDDeu7pH2I5A s6s43x/KMiEg0zTEQZFAduyJ4n3yTNAU4Q7fX0ug9129D1mKTLB7mZi0e5mG EjKq9cy3YL7NuxdVv9HQXt0QqtQuJvSjuZ1EJA112UvppGoxIT0otCrvNg3d jMr/oqCL8/HFzQZONPSK8VV66z7MN+TpYwI0JEfVyNA5gvX6xR1RHKtEvOyu 12esMN7a95/IXZUoTfbayS/WWM/X28oC0pVI/xgP28qWCTF3tqip81Qiz6dq WvYOTKjupIQ+aqlAzOMBNHc3HK+rGHnmWIGac1UbI4OY4D6yglMfWo6cu6qc xUIxHk1IhjqXI35ei5Wx97G/XrUPHJNytP+C//GUCIznD1KTEy1HhYKdnblx WO9+0Uuq1DJEdfDrb8zF8zRMzep6XIqs5VrneTqx/kd30h7bFKM1Uh6lxGec T6zrPKxTjGrWSd7w+sqEtQteuuWri9Fm4YvDwz+wH9q0WidRhMjfzK7WYczv Jv1tQaIIBTVxi1O52L/TuR5rohDleG5327NtCNJzGMyA0jz050PkoHvgEFD+ KvQO/JiKvq/67LwUPAQBwWVOuZRUVGsmS94PG4Lq09VNm7RSUExL7mLaI5wn vFasT0xC2zoaJT7FDoHh0e7VY1bxyKab56hqLu534taDL1UxqGHIK2+gA8ch 6m/vWjqjBH4bT3OVYTAMKzA/rZME63pLn/HWDUN/AtqT8rgMBO4GWuy5MQLh 7atpIVvqgfLSpmBQfBTWip/JuePZCh5JBZHitaOw1B3PkR77DG/VwoXE3MZg PNLI3znnO4iZeKgHrRkHqqn020ufBuC7RlunL30cUgZ5RWQ5+H8gDVR+2UwA v1a/R/Pfo3CpQEdsI3cCLjncFDtsTEKZ1dyaNgoLzMS0GtTtSFizgiYSzMcC x7O/dFV8SPydMBAaEWLBPReNeqNsEpRWHlouWccC1w6PAQWeSWA6nJ4wU2XB 9vYzB97YToKb9LUmPwsWhIQ/K4xRZkNDvUbjDksW/NVc5KKgyQb5G2Td4AUW pEyaGNH2saGt0aP6mC3mKw/IFjnHhl1evuUSLiwYcRxt2/6ADbOtYdmv7rFA q+ZuiT+bDQGhGYHfc1lADahakGiegtU+giZ/v2bBLvqwufrXKUhydhVnFrDg lPgt+knGFBSb7skkS1jAzx99hFieAqZYex0vYkH+0rGJrdq/wTSNIqTayYJt Iy2+/s9+w/py2yivRRbY61ofNAifhsyc+nMLHBYY3TIIUomfBs0kNfl7FBLe vZXy3/h8GozvzhaEC5DwS7E3/3DdNPgdjG5PFiXhcmyCrTfPHxhsrZKoVSbh h/At56R7f+D18MbkNWYkzOhbZXtGzkB4aqhd7wkS7r1xlzTLmAEH84lN+adJ mM4TijAunQFZOr3wuCUJ9b99t9F+zMDD6IsNEfYk9EmSLyM1Z8FZJ5G90peE tQlFLjx9s3BojFLec4cEPys6+fbPLMinO/vl+pMg66b8vkRkDrqE9QRNQkho G7QWvKA/B4d/dMk+iCahIfSdXHnyHCiFSBwTfE7CiKxMvOLVeeDq+a3+kkNC Z83N2Tdh89A98bPjeR4JEX/xUfKfzUOMZfGlI29IGH7ixeR+m4flbeY3Q+kk VKmhDJrFAvT0VeqdRSRYP9tRY+25AGVURa5KLQmzKlGuz6kL4MadDK9rxHc4 czjC9ssCfG+PTuPrJEHuG98RUadFqAibvdz5mYReuetCMZGLQNW3Vc38SgJf 8tTl46WLYJq9vcSoF+tLTxJcI7wEm63ifMUHSGC4boBr2kvAK8rdP/gT3/Fi TEvN5SWg3frUFDhCQkCBhk5a4xLEaWhHnx7H+7jquUOEuwQ3BlMsFEkSvC4+ Jaz0OGAWzy/NZpMQV8WvGOXDga1m1/qqp0lgmusi7bcc4Of5NytmloTbo8cr 2Ku40F+q72K3QIJVcuDRfmcu0F0yd2hySIiPSVXQHeBCvPyqP8vLJKidtD/U ylmG/wPDwhzE "]]}, Annotation[#, "Charting`Private`Tag$2602537#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjns01HkAxYdU2jai0irCekQelbPksduV2s6EbKF0hKRsciK0PSwVQiKP kzm0LFtprWey3jVRyBBlNBnyfs2PPOZLtHaY+c3aP+65f9x77udqeV908pFl MBjOy/rf/d0dKwrrBGCIWP15SzmIDCHbs+oFCE9TYmZmFGDSc5D+qXE5H7xx 00W2BC4H2jtkmgWwcQ7VtrIuBdugrrC0RQBNgf/n8A3l0FEsveXzToAZxb1V pmUVuDuf7ba5XYAjmn8gYWcV5j+ydjfzBPDirNyUklQNj9po+VD+Mm/Enn2l +xlM4s5V9Pcs884YWsDmBVIvnkhI7hdg1/mcB/u9aiB1OXTWdmi5r21Jq1yp BVfDUDmHEiBW4YO7UsNLBJUL/f1nBfj3uVb6X0/qUDZ4WVe8isI3bnkt3C2N UGv8WVy0hkKXinOQVUQjogtceae+phArp9XmQTXi+BXLiHolCsyHLCWVIg4W 1kp649QoXGPF3x8wbobVniiWqimFB2s7+Q6rWsH3VjXP/I5C8mgBsT3RikuJ Tzo19yzvLUQWFuS1olDQtUX/ewpNKU3PKbu32MYyfmh+kELgwkRh8O13kJ3l Fzm7URgN6EkRXOaiJd+AkxBJwWbrrfjvq9/DfVubSIZH4bG+/r5fR/n48iZh ODBiDHENfpw7kn7cl/P8xUlnHO9K7tmw54axob/8kWzDOOaY5Om+HRRWXo9w sQz6BBN35vsLMZ/AyPMsHlaegHveYW3N1CkEpxcnKNdNwGL356CcHoIXhrHy SgGTkD/X9/dYzCyU7IKNIhWm8Gh7zMjmVXPoNebyQthTsLHwqE8smMfTLOiM ek5Ddd2c+1v8A49icyV1ehr3pZLjsX0LCI9+GNGbLwRzklOj8kqEdVdX250u EiI45bxXfJMI6b7+ylSxEGqcS/wVXBFK7S2zSZkQdQr9gYwBESil9gbZWiEs 16s2GEhEsM9iyBvwhKjJsKCYVotQqTyVeHlJCJPCqqsGVYvIzn19fFEihLDc fMjs5SJ2pRtq3GQQ2LnE7mM2LeLQ9YXi2JUEubrKzJtdiwjbn9SeoUhgadNl aSlaxHBbzcY6bQKhT/T5L9ZLKBpXz1BwIMhvu20axVlCbGa0V78jwYmA63MZ 7Us46zSt++QogY2DtdGrniWosdlPD7sScN19fMxmlhCXdLLxrjdB8JvXAW2q Yvia/zb7VQjBsBF3wihQjAOTjMruUALOUNoLx1AxNB74huXfIDAKr+ZEx4jB X2Ox2i6KwImu9jXPFOPHPr7anSQCHclMRlWLGN9GbWSuziFosDEgeiYS0BZh 6zpzCUito/16awk+To+8zykgMAtt52oxJUh2LfU4WEKwrTe3/rW3BNIdTpei 2QQqGkFFrukSdA9UWxyrJbD9XDHOyZWggqVF69QRzIqP+V6tlCCAnolt4BBU bi33y+mQoLc9KWsFjyDqjdfg2CYaVTELZ3gdBA7dc6vm9WiwrE8ZZHct/4/X 1A2xoGH/p0mZbT9BuvpzYz0PGnpuqSHKQwRtgpOngwJpyCrSe4dHCI6ozMrd iKLx7Nrb5ohPBLslGx3di2mkGpslHZ0iyLauab3dSCNo+HcXLUJwYMUIMR2g 4ZAmt2V2luBefq1MvYiGvsOFgZfzBH2bO8N5KlLIyXx4nLxAsLfk8Q9+e6QY LLf281okGFu41xHtIQXbL3vnLgnBwcRavkOiFGkaa79IpQSyYanqulIp/gP2 +bzM "]]}, Annotation[#, "Charting`Private`Tag$2602584#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk4lOsbx4cUKmQ/SVFIiDolW+VGKllSKMVYkyRESEJNpCRZCllKw8xI llSWzpE8Q7LUORkcS5tQxigzr8nYt9/z++O93utz3d/ne3+f+36v693ofd7h tDCJRHqOn/+/A8mHq0sbhqA/dcRzY2EBxEYSmnlvhoASRsmz+PEAfrn3L9o3 DQHza8Vjw6i74GTZ3iXUOgQkrTMbfgolQK1WQ2nFe8wdj+K6NKJBXaoi7vQH zNoHFZOun4EkAc1FsR0zxX624pgFEnxM/7O1E3P1EaU0i0DkhuLForoxP5US yaJHoib6xW9bP+L+xhW+Se+vIb3EM9V9nzF7x9MFjjdQ5vkTd1L7MMfEdfCj E9GS0yEfiwHMazM3dDsmIz8Tk92C79gv2WPlbX4qYqnoyBSycX3Fu52J2XeR 0XLlEeeRITBTdF1/TCMdUX+uZoqPYi4wr2i4n4FCqniBgXx8XjfgUpVxFvqU 881SRYDZNyBqKSAbWVBY69on8Tze97ZnJOcgGZsXrfrzmG/ffNqQ/wBd3k6j shexPu5x1s2Mh+i7fHpElhAbKFcuRApF56HK/nCN+RVsoG469VlVhoqUm3zn y8TZYLbD6mp1KBXFlzh3eqxmA8lMZ6ski4qOXzS+9kaaDf0a9qNyl/NRnav2 iXA5NjDnqHqmLflos/m6bZqKWB/xWEdFpgBNrVr4kqiM9e4Kru+yC5Ann1ux R4UNnswPN0d7ClBLd18ibyM+DyYqETI0tL22zYuqjrl42ePkQzSUlc80ctBk g6q4ifaxGBoi3XwuJaKN80lsDftZRkNnAwrYVVtxvd/fMuAzDZkYXk9fuwP7 v5mwpunSUbf3WoOH+lh/kKK05QgdhSY/7VE1xP7h8o3Hg+loTc2+SLoxzvdb Wc08mY5Kh3qVtuzB8+k5oz79hI6spINqS0yxfqd9z+03dDS0Z5n7NnM8r7f7 Y1Z9pqNYv6ylF/twf65oVvwYHW1I1803OIDvn5YyKSrCQDWowaLGCvuNjjIf yTOQ8y/nH3ttsJ/9xriTGgwkUODG19vhfGR5Q/OdDJRqEau5/wj2d6i38wYG 2hqk2NrigPMF5L5sPsRArdml/rbHcL8lt9EoBwbyfWu+muWM+6nt+p1wkoGE +d1lji7Yb97LZ9qdgfKUA+x7yLjfOs/ITm8G2m0lxHfxwP6QJaZ2moF6QzPv 9nnheUUVpxCYwx7p6Hv7YH/WCUNzzGveM7uGfLGfk1KvyikGKps8FnH2LO63 133xrgcDWW/69Qf3HNb7xPPyXRiIbUepCQ7CevOsIkcnBoqNlCcLgjEz6349 tWUgFUbxQkQoPv/5inHNPgaqZcGjuXCc72xTb5QxA52Y/8/s6iXM+o29M7oM NKHpPygchfPN3JM12chAdx2X4m7EYL865nYLWQZ6X6zVfCcW+21OqkfjdOTX XecnHY/vNzuRC4N0JCLstDLjJva75aX9oI2OTE9esXuQhP2EnvgvFtLRp+uy hEoKzl+9xkIijY4inhWl0tKwXrh13arLdPRMtLOzOBPr71XSf1jRke1Ov3C9 bKy3HjnXokdHI+4LCi9y8X6blvuVyNLRpmpNl7+peF8TTtyYTzSU7hPd31yM z5/IGXtJxt93qnSsTRnO+9fBsWkTGvr3VaFaWznmCbtQpz9oaIVsu293Jc7v qjbnyypAl+o1uD/qMCta5RwyKEDkDW0zQp1Yn1EQavWZiiTXXqh61YXzpo/Z RxVRUb2sfEh4L64rvP7UFkZFm8VdOZyvmNfJmXFWUhExzu5u42D93X3xu1zy UGzrYsXDRZyfSJecycxB+o35552FhoEiQZGoV8xBw3WWOtIiw3h/FpIy97OR bWViwXXxYSCppx92S8tC8o8U0s7JDQPTd2rPdFgmKgrTCzLWxlzeMio8l4Zc zrdrjW/F+pOm+wdOpyEJ/7Ch0m24PqXfGdmWii541JBVd+F+wr1VzXtT0G7r AzaiZljfIT5f75aIPqi4b+k6huuPhhNX6VDQxLs7g8HXcN2B8oNacAa+rOry m4/D3H/itK5EIDTYKhM3b2C2rzAKhhBI/VA8l3cbc2ZcV+uri6Dd0Sz3bwb2 a1ttZk1QwP2j0EGtYlx/+cbGyScJmobDSwY6MAvp8V5Z5kCWiHuYgzoHSLXp avoni2HxlOKu9s0c8JTRSilsKgafN6wJey0OMJe5mQbpl8D22H0RdnocoE68 DJ1fUwotS1suWxnhumbbXxIfymBqdvyqqS0HKD6GS5ySZ3Ccf+u2dhgHgu+H J+52qgTZvqoC4UasV1UKPqVUC8tjrjkZh4xAcJG14XRkM5CeuJcPyvwEUkJY 7+G/WXAhp/yOTMNPqDSQPRzX2A2vdRLEpIN+QYu1wY4b3l9B2vrC1ljJUaiJ 85Kmrx+EL7qszsjaUagTlxrjmrHhWR6o/3DnguX2J0UDOT/BrdxAev0iF2bs D/pZXyKg2mVakkXigY+nL2tFCgGSK2pWxy3jwWHpRxMdDAKY5L1iI2I8uLe2 aSSnk4BNKy2XKmV5cESd6TypOAZsn6NcWy0eeLjVeHwMH4MgpYDWaCcevL4S wiMb8aHprW7zNmceDNh7dXVb8kElhGgcPMkDsYGSbpejfGA1X2BaefBgWY1Z 3DV/PuwIj3wp58+DnPpGeduHfJhqu8EovcoDIRGpuV8iv4ESn3/tSzEPKIUX V2z4+hskIkStvcp4kDDp4an68zfk+AXKsMt5EE5Na9Sb+g0VNsY0opIHdbpc 3WDpcWBLtzcKIx54i3oZ3DowDjZ5JDGtTh78c4kzsrNiHBReeiSHz/Hg3BRZ OuO+AGhFb4/PLvCAPJGz0rdQANtzdFSukgjwfX3phVWVAA7FTJUnLCfg+diw pGWnAKL3pbTnShGwI8GArLRmAgbb6uQa1AiI7nnoeePOBJRx1udK2hKgnk0O 7M+ehISH8Z59hwnQ3JYl96BsEnwcuBpPjxLgoOD6IKZ+EpRra5/ZORPQnY7/ gyOTkJji2pTkjfewVrxeYc8U+Blk81dGEqC7Y8N87sgUWP4ivfwURQDFtfOZ MWkaVKh+0cVXCOgs0Y+UVpyGbnEjUevrBFxRK227uH8a9n/tVr6F9y42o/rY kTENm67LWYkWErC3w4xTHDoDi0bREj1FBLBGVecUUmbgI/d7R2EJAR2iYYa8 4hlIda5wO/CcgBaWGHf8+wwsaTuExtcS4B7yY0aaPAufvv1tdAwR8G6nKzcx ahaq0zcuqjcQQE5syC/OnYWgxbGExmYC2g5mbZPom4Uv7Sl5y/B3VvZaVnVZ 4Bz8dWPqVGcXARm9dkYO9+YgfbeHFq2XAGWOBPlLzRzYMPQqLfoIEJ9L0vlT ch42u2RGygzg/G08++Mm8yAstWg6+J2A1Fy2dbDfPNRc+rf12ggBfj5PHf95 Pw+ZurtSjo4SkPT5maNAaAFCBh84bSQIaKA0fp/avQC290WU+HwCqkZNBR8v L8AW24BvTAEB44ZuPZrMBRAR+o+eOkXAb3c1kyuSi9Bftdvfc5YA1YHkLIH/ ItT607ZtXyDAStbCsHxwEe6rrJpYWiLgfruGdsfCEvwPQIC1qg== "]]}, Annotation[#, "Charting`Private`Tag$2602584#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj3k81HkYxyUhba5UOuRIB6W8OizZ7VOybeuoyFE5u6eDkNbYaB0plauS iqgcJa0jFDGLLKa0msYwyRWyP+OaLy1hxvxmZ/94Xp/X53m9n+fzPPqHzzoe k5eTk9snq//1AHevTdRxCuppf3vr5ZZD/V1V8z8yX3UoUtm5iYXcb85BJ09S EERucfVfVQUbg0Ht4dMUVl+u91bZ9hqUfViZn6+MLzVMLTesRkTwfPcxPwrm jCgl4VA1dLNyJEHnKJS+aUs7mf4X9k83bfudSaFrN6NF2leD8VWneuQvUEjI 2kkdCK3FzX3SyMuhFBj8R6y+OXV4l2PEjo2gEGYweeOZNlvWr2BoRFG4m/zt o8tdNhTknVRuX5HdX88v2a71BlsPXLS/HyPLr9lU4iP/FgVKPF5OEoXJ2iIl 5ap6JB4N6WLnUGDqh42oUA0wTdCIsM2VzYs4czqs36Oh/PFyTj6FAi+f68np 76E4j3ucXyzjvy5Yp+rGAfP1iuHeCtm+7BK9OO8PcF/GmZrBo7DWrD6QXcyF 6qKAF+XNFN5Ue3Bcurl4PW++//kWmb+TXXpzbiNWznYTCDoonMl7V7nkWCPI vxSfI6Cw34hklqnzEPGWLkqlKbQ/8VSd5d6E7MB1vhbGfQh5WqZp18DHeH1s j194H7bVjW3Usm3DXQXPQEdDASIiB35wO9uNeZ0v0uVrBOhapO4Q2t6LWaHh Thb+/biaqPZb6FEB5J565vdoDmDU18VGkDiIgOT8WM3qAWRrsZl+k0L8uSZa WcN3EIFWCnnWBqPQsAlYG6E6hBMrVpXF/vEV7SYfeMGsISyrYKaf8hhDQRoM ez2H4Xww1Hbe9Dg88s00dOhhzPw59aVJ5gTCoh6Ft+cIMbnJi11/awpzg5Rs DuUK0Tq2z/FsyhSSGT6aVL4QSyOH3y/MmEKRrUUGKRZi/cAgJ7BwCpQGt0a+ UoiE6M7D3twp2KbJKRvxhOCYiC1V1EVYUOIVd14sRMGtS1o6N0TIyK51EUmE WBy+R9vzngimyWt0f5cjmIq7uCPrkQi/hE7kR88iyON3B+4sFCFkRzw3RY1A 6Kts/JEnQg+nQqt6OUHbhOd5W20xcgU6Kap2BJXfuR0KfSJGdGqUd+dugpCE B0s+PRfjqOPwijwHAtNze6usWGIsZbEK7F0J3KdTN2/ninEt3q0u5jBBfV1/ 1rhYDIbZvVGVYAKxWqBehtM0rAflSlovEIQvcm3T8J6G7kNGSM5FggTj6Kik 09PgzzZXsrlEYMj7Nbs3Yho/dfCXXo0n2HDdrPBZ4TQMLmntUnpMYBW0VZm3 UALaPGTux2wCh7KNrdorJPg0/KXx8TOC5wypWfQGCRJcizx2Pido/vH7XUP2 EkiNHc9FsQgeZttnal6RoPXzK3PnSoK3mzZ+GLotwctEfdqwmiC/psVPOUsC X3okuoZNEGf3uH9BjQTt3Pi0mTyCV+PL+BaKNEovTxzhNRNEWUcvZi+kkWjp ZZTRQvCg2yyGa0TDNmtdsVUnwRfxlsY7e2isPJgUrNlNYP3ZeS3zCA15NXpr zxfZ/01WL/WYNMqYDW/D+wmOkvq4PZk0kkw2xzsMEYzELOrYwKLh33PfSZ8Q KGp4W2Y007C7o7B4dJTAIOda+OxRGqvtznyuGiOI2fUpXVFNCoUZTZkJEwSF 4m8PnppK0fXC8pS3iCBg/J78zP1SsE5lrDeVyPjaCxknrklxR3fOuFRKcCNl xEdHKsV/2fq+LA== "]]}, Annotation[#, "Charting`Private`Tag$2602631#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlXk4lGsYxiVJsm+VFi0qS5ZTJy3K7aCOLB2kEkI7ShSOEpEtSnGUksyY oSQlspNEtlYGh7SQyMxYZj5LdsZ5zx/f9V2/676f+36f9/vjW3XU0+aEsJCQ UCZ5/n8farAyCz/JxkCW7hbFiGLIvC9v7v6f3wVs0vUtQubofj83Nza8ZK7X u8Xkw2x132LeaTZYPpPvpYdzwbYMLvE6S/wxCZvvlOUg5KKi4y8vNlwa1yzV rHwOlYcZM37ebHRYjoca8LJRykLylC8bun/rbHTbmA276X8Ngy6wwbg00pq7 OAsj6907hS+xYajz0qCGl4m4fbOhEYFsrPwsf0qz/Sm0g26vFQ8mOk3T+Xb3 E7zPUK+9EUL60rR5JUJP4NpS5iobTvwj6iYyWhkQEbYVj79KdKkMoyjXx2Bq 9TxZfI2N4E3ZigHP02Fw6LJlUjQ5n7T2vUjRdHwJk6dUYkh+n2Hy1ZOP4Jed Hpv6D+Fjpz9eZqUhe35TU8YdMu8REb341UNYbHL11b5H2M2xx9noIXqcZpRy 7pO85Nji7x8eYHXBevtiBhtCVvuqGSOpKPtROrUjlfht+95L3UqFg6QNrfwh 0XFXcaFeKm4fD+iozSB9q1kS3tdToBsrG2KeSfx3POT37UzBxxdpa+qz2Cj3 vbo7fZgJd45+tU0O6fsqu1j/GROi8g0nW/KI/qgqrPUMEykGJ8XsC8n+E7w4 ax0m4D71uK2Y5I9rdvmPMHChYi3vZxmZn0dPNIxmQIFXctO1gpzHPGdlvCMD zxdb6fZXku9jd5S2QJeBvSbdDZ41hJUODgSJMtDr6e89/Ib4F8q1Fr5KRsR9 aUW/9yR/y/Z9oheSsab2QcHkR3J+Q5vK4s3JKB/aZneZRfyi5+NSx+lwXFE/ MaeJ6Idluu+W0yG15Hz+i2aiD96YZxdFR4W84jnfVqJLXYxNOUiHj1TRBp2v RK+hNZtq0rFugQOX20Z48VDzChE6WucKUlM6yP5KCpJTP2i4JmA4O3YRfXyz YUEVDTsmjJcqsUmeV6O15lMaqGF2Sz2X6EGJS7Yk0JDCj4qL6iPzS1cZFkXS YNuzYa8xn+yT9nl5TCANoj/rF8wMEC5bSKP9TUNR+/nqgmHCi06vqPWmwf2z 4hWvUTIvIeEy4EPD8n+LdmhMkL6Df5+cvUgDq85hvGuK+Lvop76G0BDyVpBL E5B+nYTCMzE0/F7F9Dw4h4Nyq7qCpGQaOGUmmrIiHAiFpFfsz6UhsZjDfifK geG5s6tC39FgkXctJWwB4V37BDLdNAieaTkZSBC/93WbfmE6sh+zloxLEd1z f7uwKh1HH3g3P5cl+bXflxmb0qGYrPTPaQXCNhPbkjzpeHOv2GLtIg6C9fzF BPfo8L/tKPZ9CWGVAxN2tXS0R6UE2agQ1lXqK9NIRmzYLn2J1ST/pWFSpksy jIO4o9WqRHfc89rxXjLSfbTPbtPgYKVCfOLxBQzYezaoD28gfla7UKE6A5Lu Pt1PdThgRPcutTZn4LxziePKzcSf4Lp+dxwD+ma7zecbEr99cDRTmwm+SY9o hRHZz4ipRrdjgoHo1/67SF+5r2VJKBMimxu38c2IPn1uBG1M1Kk4qTXvJ3lR J5ZJ01IQrDzn5007wkZKR+LrU7BJ8UGyqQOZn5vQsHRuKhLEe5VKXYiu1xu7 1CMVR0d856WeJvezZItytMUDjLy70el1hfi9XxYz9dLwbWGz63QoYenj6055 p+G1xTLqagQHHW7hYT+z0xBblzFFv07O0+ufN6v1CBqNtQof40neny98I3TT 4fR5zp/qGWQ/W9fDrvszUMPxffKjkeRZTXlkKmThqdrL3zyaSV6cuHPQiSzc chMpGv9E7sst4XRbQRZc+uKqpNs4GKDNG0vSysYkP6ttJ4cDl4pjilrN2dAZ 7ZFOnOLAq+5IWpFuDhJEnHxsVLmI/WR5v1wpH4JjizY3rOOi448mY/Xd+The yRr5S52Lga4zwW9986EbYuxnqU38KR/pWc35eDOr5m+6lYuV7qJiCxMKMDY5 HGRgQXjJLe+adUU4MBh1XcOHi/L9V6xK3V9Avj0/RbiKiwSzGyLaf1TgpkRg YGENF0LsQP3rRyogrm9id+YtF5HlKTbCIRUQTmiUbKnj4sKRE607KyswZE1d ePyZC1OZICvu7tdgVav9ZUVx0Tr8p/60TSWiM+9P0ZR74DWmeqIgsBrzAq/Y bjvXA5kGE6V65XcQeuyU1SnXi9ajxm+amxtwPjHrhtzrXrzZsEJ5e94nvNSM FJM92wcJWl7uiFY7ZM3ObwiR6sczXf3wRp9OfNNiNV0s7cfv47wmDfLfyKZD 9acTD/GiliZGrb04nKUnu1zAw7Xq3449zqBQYD8uxRLiQ4Vll6lXQUFKtEQi dC4f0XfoBU2fKJQ77hTrEeNDT1qxlC48gNXiJrN58nwUDGn5uOkOgH3cmmeh zsftOmud2BsDOKt85m2ALR9SSe2hiXsHUVOtVatzkI8khxe10/aDUDlHVXUe 4iPFxXmN26lBsGrPl5s68+EyfTTAJXgQG30vFiq482Fb2GL0IWcQY/URD58G Ee6r/Jq5ZAjB4cwr3zL4iOuXcXAeGIKk33yzI5l8vPVbL2c+M4REVw85dhbp F47/YCQ+jFzzbalUHh+KrLYPB1SHwZZtqBJ+xcc7jdZHCoeGYU4XElNv4mNo Ze/J+dXDUCp0vuk7xUeOxsa0gUe/kJpefWByho8VltG5jwt+QTdRUyVIiEKp QbOLT/Uv7Akcy4qcR2Ey50kiun4hwDim4b40hdwuya48lRF01pcpvF5D/NO5 EQ5JI8jkLr8vZUFhu5yFrPKjUUTSwl3a91KwtNw6U1gyiuM2vLXPrCnMGM0y L9WNYllpabblQQr/2Hpm+I2O4lqMQ030UQr9NlX9h03H4Kp3b1D8IoU/Zn/f 8/PXGEz6hAq/XKIQYXNX8cjCcagwXAMyLlOI5DzJWbR6HC0Lts43C6Pg2HLk +zarcexqa1kWFUPhQHdATXTWOFaHKZjOT6NgOyp5tSxgAoKtAZKf0imE25hw 5yZM4DOvqzHtCQWlpyK83NwJxB7MPbz7OQXnRHaoW/8EZjVsvMNLKfSqpd3/ fmwSX74Xb93/ikJw9c3CDaGTKLi9SqD6mkLH7LVSldRJnBUMRFbVUlBs0l+z rnsS3xpi6HObKNz0pZwOeE+hKGLsWFMzBU6oGtPr3hRu6zurp7ZScAqL31NV PgXzh9p5Ru0U8iTmnE6Tn8Y6+zsX5X6QfYMY7TcxDWFpgUFnF4X3Gs+D3Tym UXLh49srPRR2LOLJ7WRN447W5hjrfgrryrJylUVncK4zyXYVRWE88MytOszA 4q6I8uAghfkdTlvsL89AzeLM9/JfFN7ECVWZVs5AZM6/D2LHKJy6cnf7JlkB OvL13V0mKVTvVuWpewhQ6p6qoztDQdpfkWbwU4C7KgtHZmcpsEq/7GyemcV/ 3Hh+0w== "]]}, Annotation[#, "Charting`Private`Tag$2602631#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkXk01XkYhy8xyFLWIkb2ENUZOpZz+rRIDVfljqWSm7Rps95ORCNLUrIU latCrpE0QkUpjbpHkV03orFkqZ+K+9VkGXedO3+85z3POe/5vM97XpPgMMZB eRqNxpDV/31Ha+i070IKU/K/KQy7vobkvh1znRqFaN6VlbdpTai826n/rwaF 8NG+9gL6GwQXR3VXaVIYXxr3c5RHM3QL9C4f05HxJeWL181a0MSupVssoUCz b1Nf87kFp3P2KA/pU9ghtzPJiN2KwQtF8QxjCk7i3DTvwTZkJW92VTOlEPQ0 PbuP1Y5N8eOzr8wp9PrZvrRS7EApyz7U2YaCw5au7V6qndgd1mX9YyWFMQVG QTK9E+pHWZ/+XEWB1WFgNJvWici9T/csd6TQkDjcu/6nLrh6uHsqrZf5Hdl3 VX+iC+3GzBXdvhSaCrWTEjJ4OGsgN5axU5bfUq34pZ6HX3SLC7YGyPYz1Xub pnjIXfhVry5I5lvEKFH1fofgmZOKnGMURD6s8y5q3ZhpTh8JT6BQXOvxWBze g37V7hBRkoyVjIP82D3g0g3J+RQKPrU3mREve5DVXibMT6OgbFlfObP4PWze Nuq0XaVwvOWHzaHy92D2yW2xLqOwfJeVxvKBXrymTt4bfkvBLd3kgaPx38hV YLIY5uMY95/IcvQegvZgdZF8wzjIiFbj6cOjUDyT4OMc8QVLdofrelnL/nCX WTGi9RWzWVaHGxK+IjKvIl2L+xWmzSFKnsp8PLdNVdYM/YaSxF0urU+moOkR uTJRYwILKJ6z+/Z/0G/XyYupm0CyZbTeCbVpVObDfIw5CW1uKtuiZgaBFWs1 jSSTaNfbX25+ZA5nz91O6C/jg+VAdtEPzkP9lJLHvnI+jNgvkkxPzCMv5ITW 5wo+aN3iZyLWPB56OnPIIz5KWIcuPU+ex2fNrgb5ej5CbnXaRhbPwzOfpmzN 46P4bLPbo7F56D3em3FSyEeuScs2nSMCcEpf+QnEfBTQpHlpEQKszrM1jqcR 5Ng5QOW0AL+ematIVSSw2imeW5ImQNymzK4biwiG681sU8oFGOn4S4drRpA9 VaP14ocA5eNGNzToBEFGcYmVKUKk3joXNLiNwCwwzZJxWYgDjEmL+94E7+an V8jfFMKwrq7Sy59g3QdtbkaVEBczA15fCiaoc3eJPTggRMha9veFMQS1d9i6 UU4iuH2jPf4QS3DbML5xtZsIxoUhcWW/E1T7h5kp7hChR8VJySOZYENB9vT0 YRE2D/QYXsgkCFhzwFeFLYJpss5WpRKCAi+LWCFNDIlTnPr7Ulme/QWdQg0x +iZH35bcI9jayikMMxQjy/9hoHuVbL5G/2qukxhSG0bUuTrZvW4Cr8AoMT4M 1Tr51hMs49wVcRLFqMkxkZhzCQbzfQLsr4gRKplKbWgkiF2WXmryQIz+rsz8 BTwZF60/tWZWjCcpc/t53QQmSbHDG5UlyHHda83pJfgmzW/oNpDA8w/7RxsH CVQiKjqfbZDAcve1GK1hAlurdq6DnwTyiyTrRkZl/i53muKOSfA0uu1NwhcC t1TycQFbgmt2jpneEwQDaQ62nCoJIkZu+pgQAmJj6DLQIgH9uoLB9+8EVdNL z/88LsEK+vGhF9ME0eV3ctWVpFCQe1ecNUfw6ZQmj2stxcdq16NBAgJTtY7F +xhS1B3lrFotJjC/rxVzPEWK68aqM1IpwbxQPltXKsV/pLObqg== "]]}, Annotation[#, "Charting`Private`Tag$2602678#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlHk4lOsbx4coR7KNSJtIQrY6LWj5diwtUlkKpwXhSCU7hbKmaBHlVEdF 0qbloKS8M5gmpE46Y205EpPMjGVesi/D7/n98V7v9b3u5fvcn+t+Hm2vQKc/ pBkMxj3y/f/v8D5gYLe8AA7BaRzOjkpM/m3svkFBALOck6r+Fa9RkMfTHFEU gJMXkdL1Dxded0IbC1VIfDqllqPNxexs9fQjaqS+v2Cr8o1XqP6rxH6JhgB+ 3+TMZhu/QlTGPrlvmgLwjFb8rK3hwOji1Otr8wU4Xpif6BTFQUvK7VgnLQEe MA3qlM04SDtlu1ZBR4BFocmyd7+UwzpWOFSpK0Dry/dNhQfKMRR57mnsUqLl m1sP95fhQZhJgIWhABuZwZUeqWXYE1hr0G8kQJrLP+pHl5dh1uGwH49NBWDI j569/18pOD4aOb4ryHnD2jq2ny9FiAe1b9EqoqetXFpuVQrdPfvnfFkjwK2e LUGhk2w07WI0XLYUwNN7ZstQGRtr7TZtm7FRAOVTMtNF9myIbUTTX1kJECT8 bvRck41bOM+NsiW8lswzn9HJgpOlaczKLYSXck9LbikLMqvqLMR2AhRYttm6 ZLBQbBo+eH87iWt1KdJHWThkOKfwgAPh9bEiw9qOhQ9a7vqNu8l8NesMUuRZ iJsr1Z7qRuo1FHetEVP4dfad7C17BYhzdbg9t4FCh9LmvdLuJE59cJvDpnBN vlOd7Uniie/bNO5RsJO9UBfuTfgdnJEufYmCZMo01dSX5K8TBL6OpVAwVrdV 5Efy1yUrbw6k4DUYLpt7hPDUP+8b7UlBrXfOq30BhI8z785OZwpvOlkn1IMJ j307tIo2U4j64W7OCyX1qy+YZa6nYNQqNZASQfiLtHUGVlJo+XIn3zqS6LUN Gs+NKaQ1bj4iiSb8XihIeEspWPE69V7EkHovhK1bTGHw3QV+UDzRmqrV3VoU mmc2+k0kCtD7fSyrbwEFrv18+sxpcv7WJQuliM674B3OTCFxrkMbk+i0Dw/H s86R/kdm83UWUohQ+hlvmEp4PksIXrqIwn4HC7niNKLPWK2YR/xs0uNSf7tM 8p9tYI7oUTCse6NW8yfxT3hh93IZBWWm0nW3a0Q3cRxdllMYdnbRbs8k/k/n tb5fQ+bLuHk/8Cbp5+gtVAeFisZ24/Fskt+SlGFK+DxUNyo6fZvMXx9vpepA Id011FL1LuF790A89TsF989Smw0ekn6zcursCH+buVtrih6Tfbq8tNUwmsKy vWnOG/NJvNoiiHOGwkjzQk/XItL/1ulnktvEf4FvB7+YnH9M72xWIYVK9yf+ ASVkv+xu6Ak4FC61ro1MKiP1PyXbvNsoHNdOnFJ+Re5bqqww7ScFD693STde k3yfg0f3yLBg1O526Vk10fNuBhUbsFAlCH/UVkf2x6Th27ZoFh7rly4/2kj8 UtpuqKSzcPmQzMuRj4T/YBbf4z4Lnl2XKpS+kv0Y9WdfaGRhTJz/db2A+D9f zhhZw4bpkEgpc5zk//41KIZZCvU1y68smSQ8Sjau6TMrxcSx4/MLGULcSjAJ rt1Rinej0w2qZYXwFKwbbThXCh/JYqshJSGUr6hYV8qX4ZqMe5iTrhCc4b5i u3nlmPTWWFWrJ4TZF287pw3l8HnNG9xpQOrbN8o9Je+JWYL1se0mJN/pWk5E Xjmqp/SjtpgLwdM7xItZyMHwWH/sBnsh4sZX5T4p4cClL+WcYZgQbpHxKYcU uGA7WNvnRQghl944ydXhQqdgQkE/Ugh9Jd3jGyy4EAcEpi6JIf3qD6dl+nKR 1L0rfVGyEH43T1m3cbkoEmhdVb9B/NdPXxgd/xrMlue3pSuEMD+ofj1rdiVS FU6efFElRJDlQBJzRSXk19q4+b8V4qWfbmMeea+lr9XNavogREEIq98iuRI/ HenjeZ/JvJr6t75PVIJXqb/TgRai99AzV8vuKpx/cn385lwRPi0a/kOKXw3Z k/G7LIJFeGDVvkC0uAZFfd2j5aEiFBTbXnK1rYGPr1v2pggRGB0jxl99a1Cx 07TTOVqE43m1D4wf1uCUztfYgCQRqv/ct5u//ANkqs0f5f4lgv5jaf80238h zeyVUuSKsGtr+7v/ynhg5Lnn81U7YeaVyXypUY+QzPwLqtxOuC1JPLmy/BNK lyXLqQR0Yb7z9vVSit+gYhdilKDYDTl3J2/lBj6ajXn1kexuREibmWR/7kBB FnTb3XvQ3JY0ETO3C/vzV6ssmOxBlCg/6m0rjeI9I4o8hhhn6O+rFw/TUJxO KSROE+Od8x97q6b3grNvvZxITox4yrJk84Je6MjbTBUxxfj1p3rCI7tedPg4 9tgbiKFc8jlb5n4vAub6vz2xS4y468z2UN8+VFUavzF1FcOn53wgO6QPWsF0 Bf93MYza5qgoxfaB9yaEs8VDjFB6dW/d1T6sCI98oXZYDGvVf+5/fNuH4X9P 330cK4ZC07TLnaY/EZeUE9/8UIwdj7Zbjsv0Y9axGXYHnohxLGV90AeVfmT6 HVXtyBcjtVF0+8nCfjzbZpFLF4lhuHdebJp5PzpUaiuky8VwamNQXf792JbF kDOoF4Nn/zhP41M/1F94pIaPi/EkyH73kZIB5D6odBmTiFEVpntdvnoAZpnL tGIZNGx0J4NZTQPYenI4P1mWxgxHiuc0MIAT1hdrryvR2HNma7aH2SD4/5ap cRfT6O6t5S9/PIgnwgXXFe1phFHW+1Y/H0LyzSTPlh00tiiWeRZVD8HHqWfJ 3440Dv8oGHBtHsJ8NrtguyuNDHf9PUyZYZy9uLfqvBeNh8ZyhhG7h+G3+q8+ +UgazvN+O9HFGIFNF+PFl2ga0iqBs2w1RqB1y+/EwxgaLuf5+p+MR9D0i/kM u1M0PPTMwp7uHYHt16b5KRdprJJkvgumRqBzSm3LjHtkPpWrdYdOj2LS/MSs jw9o3Nm4oSUpZxSfe77X3XtE42+d5qmZpaNIc322f1MhjeFHCnL+g6OYMnQK TWLTMOQlfjTxH8OXbyXmu8tpSHboLNt+bgzFGdqTulwar2p1E5UfjSFgsje5 4g0NtrLczaLuMTTXXsyaVk/DXKnuF9Wocbw8Pexd30jjtlPIWH/2ODLWehjk fqJx+ZzRpVlvxrHtrkmRVQuNcmZ9XLjmBPT2XIlUbaOhr3vQfoHtBKSVJjfw v9PAaZ2wopAJUMdr3saLaIzYeBUONUzgivGqi47dNNJyErST5CUI5t/YpU0T vcbSsN1aAvurMnP7+mhYOd76wEyQQN/e/xtngIacvBT/RpUEMlINd9LIvQlu NYlRU5tE6/O1hz3HaGh+SndJDJwE+3CuqZmE9Btoihb8mMRVrZmDU1M0Nmm8 TvwkmcL/AHsXOw8= "]]}, Annotation[#, "Charting`Private`Tag$2602678#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkH0w1HkAxvdEW4zEGTUSt5K8VZpiyOVp6mrEVt7C9bKk3FBRevOa4hJO nV6cnIQSvckyCOWlkLauOrtLar3VKr9Vdr8pbu3bb09/PPPM549n5jMPK/yg f4QOg8HYMp3vzfP+smhBJYVbJq4RtkOv4LjjfMBaLoVAze0rRdZdMCnsfftP NYX5194Glwu6MNVvGRZcSyG3Y3VGti8fgwt/GxHfpyApWXFo1QM+nnDuHYhp pHAjqj7IcL4AFcUTXxUPKZTUMI9Q0QJcfOeRkN5CwWnrnax3zQLEs37Xzn1M gW3au8J7thCh4c/TC9spNO03q2L6CeH0IeRiDY+ChTyK1dcrRCd17O57AQVn X60N70U3KuyaV0T3UDiQbTfmOLMHl6J0G6Z6KdQOMY0DPHsQ9vlih9HAd86w CbnbA6WMO7CGouArMll/IvE1lv83alSgotD9otJNNNWLfF3OUX8bCc4++eqX XyYCvWeeC99WgqMl84ysXoqwt71rcqv9NGf2S/dPiOCctj5u8zIJZqV2D3HW 9YGntUv0cpNgLNtc1N3XB7ny20lPtgS1D4fjF88cQNB4VrbD0el90co5VhjC j4N113U6JPjYaDD6svo99E6kBrrHjkJRot9U9OwjGLc5XLHJJ2w9+EjvVNAo Dhdwz5m0fUJauW1aHlOKZsfMWcYxn8FdcujSr5u+wNj7sFPanDFMFAosk6Tj 6F/aJUxoGoNvRVD73IZvqCqCzQeOFM6xs91vRk9iF9fVeCEtxdkAyc9OTnKc Sr+W2n9HhvT6tfqxLgoYxjG9d9+T4dVchiBxjQIFkdEmI1wZJK2eHZkbFKjx cS8ltTLYxrRxqrcpMGLM79BplaE2gT3lelwBnyLGLHuhDEfKPY1ZDQqY1Yf+ eUwlw9Odu09JoUTprSdBSo0MfvGeM696KeFc4Gh1kkFQyS4xDfBTYtMJOTdT j8CjhnIVhiuRvD6Hf8WIQBtjWWF7Rgnxvy2mbYsIvBdcbnZ5pcQ9ycIrc9gE zDgPC90IFTKvpocNbiHgJfuKpQdV2OsvXVzpRzAjdyJpJFEFi6amqs3BBIVr 9Kv0LqjwR86OzrPhBNt5DjXMFhUiXf8e108gEJSf7spYoMYvnxn1oiQCc7kl P2+JGlYlkcl3UggiPY67N69U4/VsN6b3aYLU4uK4ALYaGwZeW2TlEIjFdG9L ihrWp029mOUEqgsOqpxRNWi3ZMPeWwQZw4Oqv+RqvJUOC8rvTvtKnTg8PQ3O B9fs2lhNkCBJKXhorYHWwf9IehOBw+TzYftQDURDjW7bWqd9rX9SD8VocD+X Rdu0EXTmXzfoT9Eghv6S2fF0+k+f+6sfFGvQz88pmiEkKON94LV/1KDhjHyP sIeg5EJg284pDXI9Qu1L3xCEWDbmJxnQ8ClbVrtukMDMrrM9cyUN2+15CSbv Ccaq65yKvGjoGNGe4mGCqFXRdVkcGg/iXz5LHSXQkXZzY8/RyFvqkuM3RsAy Ny/jl9OIFRcGsgjBsvgdEaLHNNiXdc3Hxwlax9tY6kEaduwDQ48mCOrkdmbD NA3dH7pvnJcTxGu066uttXhX57EvTElwc1S6sZCtRdO+0uXOGoI3I9H1IWla XLYymNRqCW53Xc8w1GrxP+sIm6I= "]]}, Annotation[#, "Charting`Private`Tag$2602725#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUnk4lOsbnhCONVJpO5aiaVFKdSS5lZIjKam0W0KitGhRKERppUVkSymH JESlkvzQ983YGllzLKH6ZjDzYcoY6/l+f7zXe93X+zz3/dz38+q5HdvmIcNi sTKY8/+bY9s7Z+YLCkXP8uKVvaqwcG+Uo2UWhdjrAaWbDSuhmdDwtTyHwjfx PwHK0yow2Pyni1MehQgflRjtI+Vone35s+M1Bf80zs00QRk+Hcg84vuWqT9U 92/HhTI8f/irX/qeAjslXctgbhnufFt9LryQAq/NMNekjgt/vUvjk/5HIe1B 9Q2fSC6c3crCE0oo8E2iZsk7cGGdoqHCJihoC4SKRdpcLPq+604uh4JX9VBE +g8ONA2StVHO9F873av0hgOpB5VUVkmB5dXY6HiDA4I6ndH+hUL+i+Pe7ZYc PGd/WHq0juGbOHDFX4eDu4fl8gcbGL2k40fusjg4/2yTRVgTw+9YRko7Sbh0 3ylVb6EQpem0KoBLwnpRk218G+Mv9H2NMJuE0VG9asMOCrojeZJFcSSGRFkt aygmz4cFeXdPkPi2RHKQK2DyKtU5FO5Mgjxu0bW9h+Ezq6mstyfxIif8+DcR BUuV6QF+IHGvv2LAp4/hn104bLOURICJVpBEzPSvrblnPZeE26m9spcGGL0S tsp+bRI2rx5fVZNSSE4IPHdBlcSSAYF63DCDVT/+mSRLYupfS+8bjDF+H7Gt s4cIjJz1n5XD4mOSvY7Bs34CnfkfH5vL8sF6N7MkpJtAmVR+PmciH7qRVKfR DwLZZvZZjop88PUyfz1tIxATEL2iTYmPb7sOD7c3EbhQ0PzeW5UPYz/3iKZ6 Au6jc9YNqPORrOSZHlFDwNbChxOiyYeNq0frDx6BpRdf2qtO4aPXKUS9p4qA dpG0NnYaH4q8yWHRlQTGWGv3zp3BR4T++6bmCgLf10a0Z83iY9cEM5kPDC4P /XxotQ7DX6VpspSpf1kyVUTo8VHkQgqWM3yxcgdObZvLYN/09pLPDN/BaSuq DRm+NLZDVTUzXwnv95b5fLgsLpjhVMv41b/2umoh8x6rxdvTQMA41Ors5sV8 REmGjOoZf/fbR/6qMGbmDfKaTrQy+Vm+HrQ1YeqftiTM6yTglnzsLXcF48+h /4eEIsAZZ5+3MeVjq/F0q+VCAoudO8xIM0bP8bZeE5P3vcL44Q1rmPzPhyhT gwRcgtSCrNYx8+bdzV4kT4JoJtcUr+fDdPT8BFdmn4vMQ8YsNzL6UeGXxVok JEPiixZ2DP8p9uaFBiT27cm0/GDP6M8351UYkSh+6znB3IHZn4yN4qeVJG75 fw1dtZPRMz/W8vJvEoYDheHLXZh9Td7pucuPxI0d/ta5bnx4Zb11vnSBRH/e UoVlHnzkn9GcIr1KotDvScQSbz78CyzTPz4isbPv6vUFp5j+CJlTsbUkCrZa 2aWf4UN7xXqJpJ2EfvaICvscH40cHf0HNAmR77FbBhf4GJyUey1BmYPwnu23 dSP4sNRYJ3vLmoM8SidmagKTz6tlJw+SHMzY+NUpOomPYOHkE2caOQhOvaOt 9Yj5b72proUCDuw8JsZppDJ5lMUkdqlw8b2jK0Elm8nvQb/ckx1cTG599Vim lNmffIatfi8Xt1SCgt4QzP++VyKWTCyD0ur1u45wGb0mVzWZWWWQif2iWl/F +PF55ZdjU4Z+B9o//SvDn7gj1/dJGXif2Fu20kw+y9uXD7mX40Zm/HDiDAFM A0PbbipUQrHZrX7bbAEaFQxvz5hTiTClBTkKusz7scLNny0qEXAo3/OEgQCc fIX6rDOV8Narq15vLECyhwu9gV8Jm2i1tO4NAgSPTUqI+lKFiUEh21edEGDw XUSplisPeX090o9+AsSSXB+N4zy4e+56aH1GAN0aduasizyUblnS5RggQHas cdGBRB7C9Fsu+oYLUGHyMTSyiQc5jmlGygMBtj7U1Y5xqobM5N4JasUCqOR4 +P/c+wWs9ANZHZpd0FUkpjpdrwXR0+D7cEoXAjes7J33sBY3jB0W79Nm8Fdz NYXcWkzLt8qsm90FdnboCN1Ui8UkO4PD7oKKwxO+z8I67PvRn/rCgsHNVLL8 5zq81buSdN67C6zvT7sf6zbgZFzWTc3iLvBC1Oue9XzFh4URihq+3dCSOjfG yX6Dhu3JRaFqPVBxER6mzDvRbMSrOVfQg8Av66wcjSlkJ2Hu9wNCzJRML9/i 1g3xebGCq6sQ36O3efzw68ZKp3+6Ww4KQW18FxUW3o336uq5DV5C6GrcItrS ukEEt64tPylEfHn0d6XebvzrFuT88rIQ+Xa6w2uCeyA/731c8Ash8lQzL/mm CbE/a6XG7DEhctqm+Ear9uL1nkE1HkuE66WGP59q90JN/p3KJVkRIg/NXV84 pxdF+9YoChRF2OXCEcib9UJfaf143mQRXooTjko9e/HT3UFoN1+EKNeY28eL e+E74wg3cLsIFY7jC2cH94H4ZEQucRJBW03p9t83+qBzgi7t2C1C6EiecnBs H3jkySIbZxFSOifFK+f0Ydnpc2+0vEUo3Xko9WFHHySfLz99flEEp/z3rbyN /QgOfxTS/EyEfEH47pkzxVA9q2DrmimCsfpKqmaeGHFeRzV/Zokw6UmiT+xy MXI3rUqh80ToXO3SuMFejJ8a1aUyH0W47VrcsSJUjE1JLMX5NSJ4zdORXO0R Y+ob51unh0XY0r13nmHFL6Skfdo5NCrCsPynK+lNv2Act1DnIovGvHQjbwvB L/wdJMmKmEhjp/uJnET53wi0iqyOV6chMrG4vmrdb3R8LtQqnkNDd/Kyw4Yf fiOTPztezY7Gc3eptX3pACISw11a7WloZZn0pTcMwH2b0OCFA42X0TXjC7oH MKugIHuzE40gja6aZE0JrkXuJW640ZBftMr8zEEJvFY+6FM6R8OBMtElVAex vpv1pimARlj9m3+lcwahk+wV+OwCjVTibIOn2SDq/zBVsA2jsfJAhlR8aBAb WupnXY2kkbxh9YgWMQj9MC0bhVQasmU1HwqipBgzDVRtSKPhGGN66XmGFF+F nV9SM2icCSriTCSliHLK3W+dQyOx5soKpXEpxhds8wsvoDElvsRQ9fQQmtre mu74SGNgyg5f6d0hvL6nNza3mMbZqizyau4QfMd6I0pJGrfNjUpKfw2huToy SbaGRlZRRrNlyDDyL0sO1tTRaB54l/wzdRj3VjvPT2mkIffpkXFx5TA2PV2c t66VBrWDjv9HZwSGe+6f02yncdPOar/SphHIqI9ZdHTSCKnfcn63/wje+Vdy QwQ0tv/hFcNqGsF9oxWRDj00CnUyw83UR3GiI2G7Hk2D0x+pCJtR2MXIzejr o9HEzryicnkUbLsjbUW/mPnoJQfml41CbkLtkygJDY8RbqDhtDF8e7Xa22WI hqqyrL/cyTEUeKcsMR5l9OvGDj6nxhCjo/x7fJzG7pYuVvPoOP4DqHuQ7A== "]]}, Annotation[#, "Charting`Private`Tag$2602725#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj2s01HkAhifGoUmJlaRE1rQoUYdy2by7lCOGTYOskolq21I2tbvj5BJF QzJSIVNWyK0VexDbsZLQVqfLuDY1IVr9XWZ+6Lbm8p+1H97zfHrOed5VkTE7 9msxGAzO3P4nL6TwujKQAq+iw/Rbdg9sllm23eFSeJFx+WbRxx5k8SUpriEU eib+rvQ/14sP/TleTaEU3qbnczXqXoRt4jA37aKg5550JZTXh9ZcnY6GcAqX osxzq5r6sPpTS6oTj0K0wu4pk9WPzGC+d10kBZ83LU9sQ/oxU79ed8N+Ciqn cIVLYT9ajpcKHA5RKJIOJUxbv0DIdPo5uxMUQtnpv202laB5uxen8hcKi8vt dy8JlMCqVqVvEzfXe9ZGu1IggfxoTBY7kUL8SIA3/4MEqZNBFywFFPI9ykZN 7r1E/TuLPJOrFPhLYgxi3aT4YqChWKudwpl/nbU5AwPI0k9IaOykYOzZ+po/ fxAs9y2h0Q8pOPZ4K3hOg9DK71rY95SCdOSYTnT6IGYCCb9SQqHQ4/RKrukQ nnfYfLedUGDyBJtz7gwhs1qkvGY2hhmHV9x95A10EpKDXI+N4dGRBRb7170F o3JPzbDROJbGau4H61GILag5b9Q2Dm7ACemtqQn8tUagZ3h0AnYyVqGglMDQ N3ZtyqJJKE8nZ5qlTUNq/7w7rnkSugemyksj3qO2ENZv98jwvNvPxdLqI8Jr Nhqa0zJ0zfcUzkx+wqnU68nSKjlESbszmMxZLPxV13dvtRzOkXz/LfqzKDh4 xGi0Ro4Uy6UhAuNZ1Pm5lpB6Ocb1dv5kzp7FqKG4XeuuHDI/XlSC9yz8Chl6 tt1yLHdbsNgqYxYmjRFZPyvl6KKczyYtUaCkoiNEoZZDU9yS+eNKBRwL1lgk MQgc1yp8w75SYFvC5xqBDoELvXHvdlcF4r2EYpEBgdGNOruccAWGn7UYt31J 4BRckyYoV6CaMhct4hBcuPjNtu89lRBcS+UNBBB8nfd723l/JfbtkLFvBc75 E4Zp4lAlVjQ31/rvJKjfx04UxCiRIdzVmRlJUNXb7dB6TYmDG69Ms+IItBNn lA/USmyZYDS+PEnQpklU2bFUsCg6GF+VSPD+3BV2mYkKffNddH3PELQXX/Ci HFTY+rpvRbqQwK1ccrshSgWrM8Y+umUElabiyXixCrRL/ML+CgKzfwyC3g2q IJGNdJXdJCBx8ReT5Cpk76wL9/6DoNFN5OGlr4bGbsfx1GaC0UeXX/3gq8bL wT9dgu8STLCW3cwOU+P2pVW0dRtBawg65x1W4yg9JWh/QBClo2wSZ6ohFQsL tbsJArIrikd61GhK+xzV3UsgC7Bn6VFqXHKPsC15QZC/XvHktlINvxvr6j0H 5nojHh9+b01jdVhunNEbggN1j6sr3WhoGdAewyMEBT5FPpsDadzhP3mYPEZQ Fug0LkymkWvvLAycJOBy9/Q1iGgcG74atIoQPDpZSnIaaXDymGbT0wRjMe82 iXpp2HCiB1s/ECx79rjz1CcazHk9pdmf5/7i/smY5RoMNbgf4ikItJwCNtR6 a9B8qMTBUU1gkjLlbpuoQZ7Fgo8aDcHMvdKtOhoN/gOaN3lY "]]}, Annotation[#, "Charting`Private`Tag$2602772#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVVHs4lVkXP4lIIlIaKXcdGoWpiPn61bikmMotpiFSGp3xqXQ77kcuSe6f IYSkkZJbhCQklzTkPeigVJL0HpfzEkU4fO/8sZ/9rGevvdb6XfZWdT9t6yHC YDBS6fXv7nY4M3vOhsTPzF5Ls9ZOMH9Qqa+yI8G+FXixYF0nYtm9l3ceJsGJ EPLV73dgqjvRtNKJRLH+pi3p7h04Ymgtavg7CdHoevsz2h2oSxZrfOhCovXZ OXPbWS60vtWEb3Mj4WXVEqjfwUW0A9ui1J3E+dCpc1ZFXHwp0xc38CCh5PW4 gRPPhZP8SHPxH3T989lNUhe4qDl3O3Iri4Sli1bfMWcuNDpd9hV6kbgv2bJ0 rQUXUQYKkrqnSfSfrvTu1udiPIF4kX+WRGU1+w8PZS4OT1y9pnOexLbQkpJr 0lxUHzK1vnuRhEbbQ0/lRQJqxfNSTF8SARGZ7fPjBCJlytty/UmcaeTUig0S EHifjtUMIrHK9yhHpYeA/UvmwdscEmbG8qM72ghU6Q7IqIeSYPzS1Lj9GQGV mHQiO5zEbWcbQ6kqAuGj9gkqkTR/SxtY+SUEhq2kbbOiSDD1eo2W3SNwKL9Z bmMMCWc1r8+rcgiUS4Z03ogjEWlsPFV3g4ASyzhpfSJdv+RnvlQKgcstk/Zp SXT8NsFoNIEAySxY80MKCSnjPzc6xhA4EHmSl5JKQk+He8XiKoGyz8opa2/Q +Ng2wtJwAop7ex3/yiQxmNYfn3qZACc3cZ18NokuO+eXE8EEhsSsexNzSIx/ NCmsCCRg7SGWJptLYnfHqqghfwIPGmqOxOfR+Yoxcn5+BNZpsNfL5NN4YrkW 3r4EgkL1+2IKaPzGHV61bAKDA8M3pIpJTF29I8mi4/2/3Ha59oDEfPvd/n/j 4myXjZIPab/VGA/W0PHaJQrvIytIhL3SMDlO1wtwI7LEq+h+DwIMHeh+A7VX 3SKq6fqYtEuk57FUNlUVq6XzD0TpraPnLQya/xD6lNbPOStuMIjA6ncPb4k0 kEii9th95RCIlQoMrGgi4eYU2x8YSkDSxMzJq4XWp2pCxTaCQMSpFT+ptpIw Wvmk9TTNn8j1jpW8lyRuOm+r7oqm8TWlklFcEio9zE9B8QRmp9yeoYvmX6zN ySuJwBcbin23l/Z/gP7A8gwC3pxyu6N9tN8sjieWZ9P6FwZuWf2eRN60RG1W LoEPK6QGAwZJjMosZKrS/iAamQcPUSQaNq3IevKc5n+K0hb7QuuZfbltUzuB 52oVolVTtP87NQwaXhGoDTavUp8lQdpLXIr7SOPf6a45LcqH2XZrFYclXOh4 ajPui/PRwAp+u305F7nJ46/dJPkgZDSC98hykTEZFP9Cho+eTNuTPFX6fRak z2Uo8qFkXzI7YMaFRJ87z3YDH2SvVt+yA1yESeqUiKvwMbPlwbZDjlz4/1F5 8qwmH6Knny4cYnHBUn3FNdPjw4tlPjCXwIXlX9J5I+Z85Ome8br2mQuxwBD7 nWf54ISeev06rwNlE6Pfa8/xcUJBmv2trAMnTjplWVyk++fkbmY+7UDDwa3D dv58rGvyW9XW24EwtbfB3uF8xP9zpVBBqhOiz43yc1L5qD7+yCnqfCdEVo8v ka7no9JX9MQHuy4w7h4tGpAbxv2Xeyx3WPDQNNrtnbVmGBLqu64ZOPEQrWez xXndMNwiGVd2s3hQqDQteLVhGA2MFNeEWB62NDPznzOHQWRo3xHt4cH505fc wl30fbGazere3XikeiXTjzUMZuKvfW9ye+CTVhQjVz8Mzs2G5Hd73+DJ5kgJ We8RyK3e56wQ3w/Z/T4/XpYexXCucha75CP6dIlO3+pRuCmPluXGfUZxJjQG j45B8050yK3iEUz6TYofOzaGWwo/OH5/OoIdjndG3h4fQ4/fF95vnSN4LCNT 2u05BnWWFsPo2wiaOO/2/OMzBgvrPibr51G8cQ90fRAxBr3UmLKiF6NYtulx GqdwDDbhCdprqDG4FO2Q3bAwhvkwQaWh7jjKj8xIEwwBlAJO3WIajUN6WZVU 6FIBBGpn2Kqm46hz/o8EX0KAiwf/VN382zjUJM0Wy1YLUPOgYyorfBxDJ2zG rLUFMB46+Eipfxzeil4tAfYC1PlP+nWnT6CpUbd5q6MA18tsuwfvTED5LNUw 8JsA24rL9s+XToBo9qmzdBUg6ePQy32tEzC44FshzxJAWG3Qekw4gen2iL/v Bwuwaq/M27RjX8AJzw7puyeArlDPYdJgEisvie8/ViDA8mefH8ZiEmme/5Ub KhLA54ypxA7rSZRa7cyhygQ41/iCcddjEkOy3AaRWgEi14e8UU+dhFUmQ0K7 U4DWMnmTaJEprK1wjb0wJ4D0P3F/7+ufQk5e4+FZoQBibvcKCwVT0EvbrBzM oKCTy9fRFE5hX+B0UaQYBXmTtEt7Fb8iwDSOmy5DYTfeJXs6fMVAe418vToF XmJKoHP7VxSQG9KlrSlcl47ayen6hsiMcLd3ByhEeOXXlH/+hhO2Y5qFNhQ0 H4X4y819g1J1dfGvjhT401Iq/1GbRlTc703R7hSMlia2+vpMw3NH6oSkLwWf y482xqyfgdkIo+K1P4Vlw3Wy1/VnoHzTM+BeEH1ubzj9Zu8MeMuNxPeHUbCP lZlec2EG5m95SlfjKDSxKwOiO2agFiZvKZ5L4dKPSjEv0r9jwShgZXceBRY7 40lU+Xf0jn3syM2nwPgU1l7K/Y54x1IXixIKVxefdzksn8Wiju258GoKxhon nkcFzeL1+0dGDrUUbs0q/L4nYxblSaoLGvUUZpNahGnVs/BeGI9saKaQxD5s 5CGcRR83LnNpJwXzx0/qqcg5VEZMH+98RWGXR+0Kh8I5JJm4auf0UMj74Kol 6JqD1d9byn55R0Ei7KfmvVrz0DqS7Cv3gYLb3Kc0N5t5iMgs7Br4SOGU1UKy e9A8qthtLSF8CpXKhvnH388jWXd7nM0oBRGJIz+aygtxduCGvSpF4ebuO7wh ayGsU0QVJyYoBHdrH7GKEoJp7fW+borCNvNq76k2IUSXdN2On6agarT+f96K C+h/aMJym6XAjrhbWHJ+AdWsnK16Qor+LxY84/kLSFFe8XVxkUIM2/Xxe+Ei /g8g8+wo "]]}, Annotation[#, "Charting`Private`Tag$2602772#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj3841HcAx69LseLkEs+aknQbSvUURlbvEiZsRSkPkW4VmTF5at26yEKI 6Fm5lVhSzc+OJ0UeS5NS7RkdJc6506l2Xz/ug3Dux/du9sf7ef31ep7X246b EHyYyWAwAmb3P2fa5zt2TCkQGG0ZfpHRC++gZFm8SoFF0Wc/i2ztRXOKT6O9 RoEqrwt3tVwxNt0xvdyjU8DlZLR9nFiM+5KuhFyDAmcud0zytvZhw8JCfy8m hbLMVxnm1/pwx4PLURlRWKFLWpc41genGEdGlTGFZy1HOTxIcLtgTBy1gIKp 5/Da3dkSFH1Mzn9hTqHuxC1OklU/cqoLtUVLKTio9//oYCmFiYTbHbyMwqJa 3WTuTinSFjjVGq+gMCJIpCuzpDgV3XAkkUOhx1fYcE4jRazda5H3egpjinbr L0Qy+F1mlQ37UPDdvG8NRziAeadT93gkUjBx+/VxmaUcdeMj6uYkCpoga8FB BzkOHQn93fcEBXFnTjvjKzlad64b2n2KQvHN8+FTXDnSVvanxKdTSLY9Wvdc KIfRM/fK0isUNuxfLC/2GQRz8dgcVguFhvzroqlD78AojxTK2UOIi34aYZP6 AceuCnPZLUOwKvFkyR4M4c/VmSYW8cPYm1tTPlmihIX/sTW/sEYwaKZhCqzH IXF+2cVrGkHsjYr3LsyPqCnGqneRo4jILg8Z75xEhNDNYpl+FH9kebBZldM4 k16SKqlQoiNZtujJyxmY/WTsf7BaiWffzy/f3DuDqzE/sD8IlXDqt7re+HYG dwM8SkmdEgFJvPd/Tczgg4WoldmsRKPo4gnjJWoEFDNMHLuU2BY7reOHqWFV f+DCca0SX07scBZQapSWPdmroZV4kaY9/HBCjfVXV9umMAimzfsyRrRq7Dit EmbOI0hLqJqMYGnA354nKjQneJrd3fnbRg3kHQ8tW+wJ5j0K/Pd8igbVimWF rECC8nrFaNZyLTKL0qOk3xKc4w/YmDppcSh4lHMniMB7o59ZsasWNk1NNd/s I3BRRXdNBGqRnRf+NIdL8FioCY3jaxHjdmV8AY9AGVGfYinTwnuYUS8+RbCj rbakfVgL2+sx/IpkAtUZ/5qSGS26P3E39k8jKOpmMwvYOvj0d9tk5RH07HoU 1fm1DivTLP2MbxM0ezWEVzTooHfnm70pIwh8MFrMb9Ohd3Sw83bl7N+2UI/k bh3y992N8K0lcAurjv10SgeDU3BSehNB+2m26VxXGmLZA/eQ5lk/VRx5w4fG /Ut2+lUtsz2JZ6Ny9tKI149ltrYRNHBoOoRHQyLKK57bRRB/qXxu6mMaDRmq 77peE5QJbPxc39C45HnAsbSHQBMizjg5TCPg1to6LylBGG2yXLlEj8/DCnjs twRbOiY9/dfowTTXb5EPEnDycpaf365H48l/nqdSBC3CVxd2H9ejwNk1L2iE wDqrl++Tr0ei/NoeO0LAdTHi0lV6BAqMlo6PE6zessv54996OATGyR5NEgwc 6KGlo3oYzXl1M19F8HPtPfH0YgMG7nnGRmkIjEI3JAi2GtAUW7puPU1gL9m5 ScwzQGC7cMpgIKhZkv9EpzfgP/WnfQU= "]]}, Annotation[#, "Charting`Private`Tag$2602819#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVk3s4lOkbx4coSZSUcyLKmSVSqa82TcJWpKIDQq21xdLulpyL0NYq2bRO JW1sK+ctYlMah07bQe87swwVKu+YmdcYh3H+vb8/nuu5vtd1X9/nvj/f+zEM ivA+Is9isS4z5/+37N+5Zq9G+jF8zbPN6W8eXL3i34eP9UNJvbmAvZCHxoSt D1ZO9CPwwEYD3Xwu1pep/Mab6kfW0xwFYx8u7vHbIy7O9qO0717bVT0u7Bbk un8tT4HPNlyUTpMoWxdkMqZAIW1rXNq9pyTMQ81YpfMoJKZXz7j+SeL21cGO QGUKvArHCqWLJIya7/+9dCGFUwVarQ4/ksiXxl96psZohcfm6/1JaBmxv09Q p/AiLqu3xJ1E1q6F7DVLKSRL5TWt15FYlPBuBaVJIeRkyrVUMxIX7uZO5utQ cDYw0kzUJaHEDyK99Sm4vZviD6iSSFY2r5y3gsKt1bm/3J5DgrVO8kuDEYUf qZHYy+MEYr6tPRppQkH2w4krmYMERn9L2LzKlHnf7vLeK/0EojhsvU5zCn0r ya2JHwmIhxaOZVhRKDVg7XbrJBBmSLxxtWX8Ti2O5hMEPu/MKx23oxDrPB5q 84ZAUHxwapkDBYXSm2yHlwS6S82Dgp0ohEYXRfU+JeDXKXHW2kDBkvvPIdtW Au/m12m+3MjwsjEIWdJMYJdT4lCSC4XB4eay5CcEXhzd9tJxCwVOHlc7romA 22+qJQNbKVwYGlk++pgA5wlx5oYbhWue3CaK0S5DeYf2eFDIEl1I8WbqG1aE OCnvoJBnJbfHgvFbu9NiSeMuCj5RO5IiOASq4oZEJ3YzfmtvVum0ELAurWsz 3cv0W3v8g2kbgTsdiUVdvgxv7crtV58RWDXfLT7zAJP3iGN4ADPfzbVqftv8 GX7h+UpJrwksP0raTwUy/MvV5svaCeRk5atWBlMQZmRfeswlsOxJCHXkKIXX X4aEHQzPTIkFR+c7CsbbO7M2fyCgukJa8Op7Cm0/VxpL+wgoxiX5rIukoLXM Q8uaJlAjEY43nmC0LzHjPUwg5KjvdfbPFDSUXihUMflydtoIdscw+/Lwh2ta isw+GHUlhKdQeOf0vDpoOYk12W4mI6kUVLpzu+1MSPQtqHkWc57J76bOUntL Eq4j55emZ1BYsX80u3E9CYU2p7+KfqdQ61PPFfuRqHG+tcs8j8lHYSltHEQi pFJttKKA4eX389DZMBKcnM8uD4so3IjIfV4XQ+Ls8SySd5eCaa3jdcl1EvJL BuVUm5j938O2X8D8p6rUA8VZHAoNsmG55HESQVMtnrqtjHY6EKenwEXTp/xs 0xdMv4YbntzR5uJMrYfVFpKCU6+L81dsLuT8i31PCSh4bjS8lXWLC9af/uU9 6gIIByr0C3/koUXIDb++VIAfio6tv3KWhwu2XtYHtQTQ6HlUcD2TB83aLXcJ fQFiXeR2zK3kwbrV9K82UwGMe2YUFWkeDn4aul22SQBepq9uTsR/qDNMLTgd JkDNnN364qQOROWUX1RvEqBioiXEvo+P+1M5qU0cAV4sq7q4QsbHlP+5pKhW AXwLK9gGKl1IXXnop7cvBNCLLLT1WtOFvFLlQ5lcAW58TA1LSelC88Mjluoi AabYCReNLbqh1av7fLHWAEpWP94mPfMe/1ikKS0OHwBrjduJ7K8+YrF7lOUZ VSFkIVdC+Gv6wLd63R7dIISlvsVQ/PgXVBTAuM9fhE03FAur5wohPS2dd/iw CN84DkY0aQrhuK94oCtYhMJ/61U6TYWoV1Or5oaKYPLw8H9mHkK0JHZvfh4l wtaE8c+bLgnRGRQXUHVOBI/wgBO79ESYu7o+J7FMhOok+9YQZzEOlTsu1p8R YUapb0/NzkHc2y9Tfc0SI8Xuw7Ok/YNQnftA5ewcMYztHjnuOzKIRwc3KlFK YgSGNZjpxAzCSNl1tmaJGCpsF0X54kF8DvESeZqJoVVPJB5lSRCuc+xprA/j Z98vHamToKXZqtVmnxh+Pu/aPjRLYBBJc3r8xGjS76wl3kjwujXqkVuAGDaK jzZ3UxLY/RR9XyNMjHrTvohjOkMYe3Xuj9IEMZbzBzwz44aQmFKYxL8jxo5o X3eOpxQLT85zP3xXjDSX9jj4SZETelz9c7kYBx0Cr7cckaLaY10RXSOGDve8 +Xi8FJ8Xv+HIN4pBBxoND1VK4VHAUjJrF0N//jJtX51hLLsf8OtPk2J0dx6P VBodRlFJ896JaTFOp5e4eiqMwDbHwiCBRWNRTVVsofoItseNlacp0qjxXqmR ZDOC2C0Zb3LVaGit0lXSCxtBz6uHGk0radTpWhqwekdwt18/V9WTxq8Fw4Tk 0yjS8lMCu3fQaFzjOjkrG0WIt8ikzIsGR9/E3F5lDHoNDRXf7KOR5zDHSMV+ DOczDrRcCKLRYSeTKzozhlDH3yXK0TT44tOrA8xlcB1g3e+IoaH8lc7gRhcZ DG6Ext6Jp/H22Gm/PXtlIOc7zXNPpvHyO9Lf4awMW7tIvfQMGpfTES99L4NR sobbvNs0Hlat/nCneBwzTrELuSU04pd4165tGsd/ot63t/+iId8S/9SyaxyX 9lUfYlfSyNFOuxuiMYFZc+8TKQ00NLVu59WnTaDjfZ3TnkYay3vLfZyKJ3Av y3DGuInG7jgo72uZQPjMYBqnlUbrK9/3xXMnwX+TUTCnnUZATEqS9eVJ1J4b C24nmHm+iKJ23JtE1oYAsyIeDW3+ce0b/El4/GFd83U3jbbG2ehgqyms2n81 Wv0jw9/FvdvSdwryajObenppKJQsmu1MnsKDUy+fJlE0kp3tOeafpnDVyiHD S8hojyzbP7WnEdmT52NI05CUbf7S5zUNz2wFHYmExsl09mPer9Mw9Tz2/tEw DddFvJuKb6ehIPfu1qUxGgL19duk+jP48PeGsMAJGof7vt1+6eQMGsKKbGyn aUQGBrtlD8wg22DByOws438x9kHv9Cz+B8b3prQ= "]]}, Annotation[#, "Charting`Private`Tag$2602819#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj2s01HkAhoemRlvGoVaXbdJY21KRdTax9vTKpVp0YXelFHJrjkqb1uZW JIpi9UGIGllC5Bpb2THKTqjUJlE5ZGYM7X8wP7dqLuY/az+85/nwfHjOyw0+ 7hOmz2AwPOf2P5kdDpXFVylYHujdHr/6HRq+L9mz7hoFi6fCupXLBxFaZ/Sx lj/nI0MzAvMGsXRtfMHmIgoiqmnLQoYYovwRZ2ExhXpz68x4azF+NfIZcSul kGO7dfNLXzEsUpovPS2nwAxdXOd0Woxzx7J731RRsIlNMnz7txh2Ul18YC2F BkPe3lcyMaS+R7gj9RSiPAILrzIlcHF2OTp9l0KH+5UzG7ZKoL9kQo/dSqGt Z+J9VJ0E9Rf8y7JFFPpy+3WmnRIEz7Z5fdFOoWIN477LiAStw9dzLTsprGnc Oe67Qorke57Wrr0UZLn6NxEvhV5AmV+MnIJ6gK3nbzcExq2AGqmJHDl5fgxl ogxtY68jCz+XY7WgvDLqigwZtt42B5bLUc+aYr2okGHZPdeqHo4c3e7bL9n3 yGDTblnZYSlHmKLd8YnlMA4MT5VWb5Gj4/VAzK2nw7jPvcCPi5DDPD2vcnDe e0Tl12SatMpR5q0bjt9NoXl9moFx5ChS/WKU65PHYewRtSGZPQa36yUrLhRO oN/6RXesYAwMvVFBEH8KtXxYyALGYWIXwEbiDA7W2Btz6HGE7ymKngr7iKTU orP9FQrw5V4DBwuUMDzF8jhUpUCk60ynSYkS+bxjJiM1CgjTfrHrvK3EHU/H YtKgwNqwggIvoRIjxl0i/RYFspOfFKZKlPDkMwysuhWY7yJ0fm+pgundwN+j NQrEBXvsmP5LheLyR75qrQJmXD3V/kcq2OavN0tkEPwoWvbg8XMVfjj9qSZt PsG352YMmiUqJLhmdRUYETiecvqgZakh/Ue4tPVLglNJN9JZvmpU/cspYHsR fJ1xyTRcpUba9dSgd7sITDJeZTnO1yDUZ/yram+Cw0XNLhxjDVYJBLU79xIE 9WQyl1lpcDHLvy0jmEC9O6ZdvE8Dnv3Vyc9iCaKMU6K3tWjgNsq42xdPIC3w ivDv1MDsBi+h4gyB/jP2kotvNehd6MDySCGwNni+2GFGA/eB3lXpWQRuAY0n ptbNwjxl6Q5WKQFHlBin5s+CdkgwfF1OYDt0q8ShehZvx4dellYSpN/xry5r nsXlvXcObqsjWCVR3zYfmIVunc/JVAHBk+XmJ6SrtegbvO/wcwuBkOdfP7tR iz+zubRFK4FNhbNp6FYtIumJNFH73J+LuzJtw7To78riz+smKOY1ctLqtLh3 /lNIdw/Bb9U1h7oeaZHtFGhV/IYgKVQYVN2nhedNmwaXdwTTLZyPhxfQWLs/ J9ZEQlB05EbTcQ4NfSN6i3SIYElTHBWyiUZTzLPHZymCUcdFBjU8GjnWm7K8 x+b6fg/JyRQaJ6TXfuISAqvwECP2HzS8cpkrJycJxkzzQlQPaVh6HR18MENw s3KB+4yMBlPvVcnlTwSRCZP2WKyDuNEpIkhNwA3P2ef5nQ6CiOKNtloCpnyc eThah1yzRR90OgL789/Q07QO/wHpoXQc "]]}, Annotation[#, "Charting`Private`Tag$2602866#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUnk4lekbtrQoWVNKNZbUUCkZLUJ3RUYyQokpW8KlHJIlSyU1isGkZGik jWyDKIrqhPETuZSRtXzH0rF0vo9zPg461uP3zR/v9V7P9Tz3cy/vq+lxzt5L SkJC4hZz/rsXvN+dn/kXibtDx7aZdXeh1OSJ7aZ0plYcVe1W6oLnM4XvxQ9I ROc0vuys4EBl48V7ux6T0NksOhMQzUFN2uC+ikwSuRKVD4njHAQr2A+aZ5Oo 6g+2vb6dA+3ot/ENuSRu7XuWqqjMQeukznb7fBI+VrW7VogI/OaX3P65kJm/ 57swt4eAAXf+olsxiQDeAq8NDQS4x301B5+TKFDNklv5ikBSQ3st6wWJfUv3 tqvnETiw7wBrrIyE5dT6h7NpBISlhUoRr5n+l/g/g28SyNBdXSbxloSKsoXv id8I2D+Ido6pZPQYjVbFhhOQWj4iKV9NQuZJw9HeAALPY07mJNeQ0P9YW2Bx hoDHbK31mjoS7KdJP2Z5EFA+byB8XE8iwVRlF8+ZQPXA/VSdDyQe3X3RJnYk EHhiiWlRI+Pv6JMVnUcJaP0bzN3xicmHW/6eZUug2aw3ht3C7D+ktyf/FwLX yg/rmbWT6DcZnog7zPjXK2uu/8zoczidJmXF+H+sFWZLkNDWufl8ySHG/8qb 6zq6SAS7XU25a8n4j5+qduklMbtyo10uUwvnPX36uQx+VivOgJnPCG6S8x0g YbJtU9B2Zp89aVwy+o2Eu5R8+UOGT9I1xymMInHsofr5MEZPcbOyWDzM5P8s SLXsCAH3nyMzr9MkPOvZEY72BBTZpOUyIYP3iCh3cCBQpe8gSBpn+M7/bPjU iUBAVtWd1SIS48Nrb7sw+WiobTF6NMW8n41nvrs7gShp6ehCMQmn/cfjjjP5 6of56xpKUojW+DJt5k+gd/hL42tpCiOsF2ERQQT2tRevfi9Dobjg8/1XkQRG rNZW2shSaNJcpVoRTeBRZYxnmxwFtvR9E+l4AhJ5rkVcZQr9evEelncJ1A53 +D9cQcFy5U6HrocEEvTttjqvojAeUG3wMoeAarlZYds6CgVO1Q5byglsrdPJ f69DwXxvS98MQWB8acbZ65sp6Oy6pnx1gMBrmzWbDmyloF9QmGdKEzjYLpf3 5icKzg6m2k7SHDgPCLOf7mX0y1r9I9TjQEuX5e27n0Ju0qzxciMOeKyBDTrm FLTH3iZ4mHMQNN7x5PEhpr+i8ae4kxzESb/NSD5GYV9Gksy3eA5eacY8iDjL 8J1JbTQa5yDSS8J1lx8FkySlPwWSXTDPC183fo5CQNmIX51CF5r0Wel+IRQM pfae7tvcBR7s0tyjKFinZcWXeXVhpeuaFIsUCqyDtkEhPV0ITCv6Q7magszp Ru8pXjfKZtNiqmsofDAp8ts43Y1Z1xtXA+sohBVdOsKS7UHMepeQ5g8U7nY6 9e/f2oP0gqUuSR2M3zXzDgohPXhX4bVFmU/BVlnGN0a6F6v61jQorRrCnsjV Gm33e/F2c6yMkv8QhDcr7veNfMXOVtWPSQFDSFj15LPTzFcUX8q5rRI0hLjD Au32hVxkfKxVWxU2BJ7S7708NS5izy3UU782BE/LovP+B7mwL7lmp5cyhMB3 oZXf73Hxbc/ltEMVQ2gM+EX+m00flKwCt1yTH8ZOhSuSfQ394Og1tYSzh2EQ GmN6L4CH4gfQ7nfloz5V0mS39zDGIsYWnzrFh2+ERaHwAoNzzBnqOs3Hi+KL GmUxw3ijoFDS4cOHWZyXoWveMGqjuvc3BPJxwsl460b+MAiPy27Pb/AhzHLO z77Ax6If36RFPeVjPsHA+/VtAVyKdiqtE/OhY3Dwn5SQEbw8MSnfJCGA5eLQ D8ZRI5Bf9HrZb9ICpGfHdfPiRlDlbCpDyghwgSeyPvloBFpLzedLlwvgbz/a mtEwgkFPO761rgA5Gl+s6tePwl+NVX/pmADlaot+H+gcRe07vbptjgLc9bC9 nDc4CvXzdA33VwGuhfGSQ4WjaKoLrLJ0E6DA5XK0wVIhDELCy1TOCvAqsL59 wx4hRP/eyCq4IsCCzTpqqulCRF1/fJXztwCyW5TsuT5jkAtdbHWqUIAdo6Ii o5AxpPn4KQ8WCWDTwJ5OvzqGksNGmXSpAI72iS0xaWMYVPpUI1UpwC1D/lrh hzEcfiAho9siwKJh64RdhuNYWeZ2M2RGgNY9yzZkyk0gM/fd8ek5AVBkdLR6 zQT00zarX5GgcXK5+LNQdwKHLouKYhfS6NE05MZaTOCSWeKnewo0Rh22L7gV NQHuvxUq1etp1G5S1Dg0OYFC3rp78tY0XN4V/9U8+R2x96+7d9vQaFr2NalU VgRPe/6Gp3Y0IjPdvd/8IMJaNrv4F0ea+ZedysYHRYhLPFmb4EFDanVQ29pk EXx2/jW6NJzGhyVGbzz2TMJ8SKKs8yINlS9sHyXbSag/8rn0dySNbpszpya9 JtG+ZPdiq2gafAurCxeSJnGwq33t74k0TKNCZFiCSWhFq1guzqZxzlvR4GLp FMS7L8l15NLIDDY80dQ4hS/8vubsfBoXSiJl/iCncMuxxMXiGQ21maJ+O41p zG+yD7rOprF+4ql7+Z1pdPa82u1QSWN/YUnE92fTeJmsKdauZvzWOvu1NU3D XzwSW1PH8FlOjmUozoDzKfGBdAuNiv9dLFRMm0H5DdHpljYavBqifKBiBsnG brqZn2noy4XspPpncDhra+mBbho/2TZ5y+6YxcYTKeHKX2m0Bu5XueI2CykF 8V5uH43E0LfNrfGzeB32sf4qyfRtXY+cHppFit6ORLthGo4srRXh6nM4z00/ pknTqOuxrDF3nIN16gK10VEakglHjCvvzEHHmtVTNU5j5NTqY97tc1gg2frk loiGxPMdf7M1xeh9YXzWfZqG9qvZjuwIMdhnM7fpzzH41NDH7/hipKrLTszP 08j74dfFvLl5/B9ywKhr "]]}, Annotation[#, "Charting`Private`Tag$2602866#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkHs01HkAxadUKhFzSias1ZOi2h6M0+aeNlRIWGVPrSHFSqLlzG5KooiV PGJVtGNK2l5MoaRG7RFbUnlMJRJjZgz9hvmmJsyM+c3aP+65/9zzufdc29AY /7DJDAbDa0L/O/fbRt+4DRTCk0YT1cJe/Nz3+Wq5K4Ut+z+Uck0lWGAfFX5g IwXTYVaWMESCgai+xXZuFL4x8vB1KJKg/DanT+ZBIcOk9JrohQRxqvYrl7ZS mE9sonerJWCz/fZxvCnwRazzBxZIQR99vtByOwWxT5kx2SJFhkHt5fwACinS 1cH7c6Tw3ewU6hdIoe1VUOv0CinMTwtsTXZRcJrN5Ga0SXGZeZmfFjyxV6ed 22QqQ41tGu9IJAXPpXtEqhQZEsMYHOeDFAJ6Byqu8GVwux5vrYqhcOLN/ebe hzK0rIq6eJBLgWV60mjpsAwD8CsMSaIwTR87iRfYB3OOZYFHAYXEl8yHnhZy xBYKzjDrKNhKHO1Nj/Sjerwwra6eQvGtll+asvoxzjmVHPuUAnPtsGtMST/S FgZx215QaP2bExP3oh8Xb80MOttOQTHa6HzcegANj8IcmEMUzqrv3pkvHICF 1LLJzEKBxKTi83bKj6hdnj7dLFoB+Q6BOHPNIMw8Yx1OmAzCyuWo8TPWJ3Q5 tojihYNgjDR/mrb6M27zsEjGGYJrv3tl02IVggROZtb0ENg/Gs7tthpBUuql 5K4bSjB/+5rA2TsG498NPfeUKeGQ+2FtQNQYCiMOMuUCJeblFXF9uGOo9HIp IVVKVDqVt/imjUFu1lo/+bES3fnh1Vk3x+DFY0y3FynR6fP8Oq0ag3l1cBZX q8R9xU93XDPVKLnWsFOjU8Ktli+n/lRjVeFym+MMAgidObxiNbYeGxWkTyUQ Dy7KsaxUI2FTdmvRbIImDX0mtlMNSfOjOXULCUzMiwIqlmlQNmBdZOJN8MVA qBK0aZD+V2pItw/Bq1ILs45uDfb5Dy0u9yMw5ezpYSo0sBIKb28LJJDnpm5/ YKBFRvbufzNDCZIPaYR967SIcLowPDN+gg/TOQ48LdwUjOrOowQz2Lme/Jta 2PAjEm4kEsS15+lX1Gjxdgbb0DOFYNnxeTnFr7Vw//DW6o9sAqFYbETNGseC lDlbDK8S+O/LC9ucMg6anWDcfo2g6kbFppG8cXQMSduu3iRYHf8+r71kHDmB lUEedwg40mcrv68fh36Zf1yqkED5Xr1TbqhDZ08Ne8djgvqq04+SWDrcy7el F9UR5N9a0xy5XIdo+lN6/dOJvprwL26+OnS1ZvMMRARuM48peng63D81ulf0 hsD9zCzn+kod8tcH25e8I4jw27BkY6MOXqUrqn7oJsjs8ir1GtFhya6CeGYv gVQ2t2OqCY3Js2lXiZSg1jE0uGoJjQeHXzYmfyRIP//EJXc3jQLHddl+gwRv 34ldvztM41fJxQBbMvG3pMP9XgEN73NT5g8PE7hkNCXyq2nYeUf1/KMiOFlm fK/qPY0pk15fyRkliG6w2+Y6RQ/x3fWRIRoCSQPrwpM1eggjS1au0k3kOf4P Gw/pcc7G6KteT8CK0kopWo//ABWWe7I= "]]}, Annotation[#, "Charting`Private`Tag$2602913#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkns0lHsXx6cIL8n1pEiiRBfVW2+iy/kml9xSJOniWsoROunkpCJCCaWL NWW6yCVFGqJzUrklUkqRTiTyzGjQMzPPwyCDMd7n/PFbv7XX2nuvz/7sbRx4 2CNoKovFOs+8f/9j895sO7qBhDybe8X+IQ97BZI87q8krpd5TewI4sFkUeiB QzYkQraqVZUv46EvVGBqbkcidWB93KQ6D9xiX8F3BxIyaXWyxk8CR4dac7Oc SLx+16Bs103Aysp9v68riffb9BSHWwjITzbMN9hKgigpurGmnkBtlW13qzsJ t6iyk1HlBJIVKrLTPUlcEbWYepcS2LbZMtB9JwkH67ikCw8IzEwpMp6xm4Tr RjwU5BLoeG/Oa9hL4lPdhTqrTALZ2tl3zvmRuHOzJ+Egh0Cwl4G/XSAJlXV6 9d5sAss46UZTghg+e4Fs5AqBoU71roqDJPpuxOn+7xKBp8bnbp8IITHP36FE foFATBDLd00YCfM56zNdUgnY5UcZDh0mQaXl7dVMIaAqlnQUR5BIGixqtk0m 0LQi9GbYMRLtJgK1b+cJsP8Q7Fl8nESsZ5x6GxPvLfM16D1BQilcJW8Jk28i a23PiSZhtbrYo4WJ++DO8Y8lsd7h9YIGpj83vmGXYTyJxcMNhWoMzx/1trPb E0mU1ev9uHqRwFq1ijZ2Eon0IPYaP4Z/0s3y+vYUEjNXc51CmPlqrxTt1LzI 7Mdznn5JOuP3s7le4yUSlfkh31ddY3z6GrAd2Mz8nDlhX28yPrPSdyhkMPdw Ynq+7F+fAvVfqm8w+856/sEth4BFGCvdOouEh2Z1SkwBAUlx1PafOSRKopa8 9uYSKBuSaJfmkehoT1/jU8L4OiW4vLSQRL9Z47yuZ4yval/3H1yGX2ma6u4q xpdCm2beIxLeJwOnjL0ksCelIc3oCYk5xtdrcxsJRHCKLmjXkAj/VBCfzCfw RMY5V1NLgp9WuEraS0DmezYuop5E7vxVGWfEBM7N9zn28R2JuX497aSUwM1C VZ8rrcx96N3YJNXkoa4yaKm2mOGnZIVX7XlQNXZfWEOTCDT/b26yKw/b4tfP i5AwvhLq/mRv56F9s47uxxESBY+e7xUG8EA1VY9fniqEQ1tpUNxpHmZ1G7zV miXENy5/i3ElDz72ynUv9IVgC6OjbF/xkH1PUnnEUIjY1k63yPc8LA19U9Js IoSXv3SFehcPNsORnMsWQsjaRp+PsfgIUf74m5Yt0+8LlVC8mY+KJUkqWuFC JLzWa+B08WH5Sa/xyu9CqHg/u9XZx0fxqXuXdY8KsaLC02+JhI/sxlf6s44L MSR+GdKr2I2kw9MsjM4w+R/tRF2Lu+FResbdgi2EZ5q35qvj3ehdG81xqhQi ma9yVXvOd2g5Ryw9M0OEz7pOiR9iBLjzQkNtrZYInvHzl0amCLDC+uGPAR0R 9EdzV5ldF8DNvC8vYLYIzn+aeN1/JECykq+xzQIRTLxjUhcKBFB86TSTtVYE yZrIXZpuPfi5zpgVEyTCShWb0gtmveiwaGqJKhehpKr3+7rRPhTfxoLvvmKo Wlu9y28WYfDEoHJAgBiaFJEk54lgufOesHOfGNyU3675SER4rqFR2hosxnjP yPu1OmK8iv1m8zZCDLv92cURO8T4GhjtV3JWjBnLT/cRX8VQMnvOieWK8ZeR o5PCAAWfIkstQ7kYVkNPmzMz+/H3bumMJhaFLVmZ338p6McMpWfT4xUozHbY r5f+uB/Vezeo/FCh0LCgSzP/TT9MVO0mH+tQ0K9mv7Mc6kfPfnex6yIK3eXn 2sTOAwjXD31zypOCv+amSuvJAbyqs6hfvpOCypEta5tVJTA6Qtfyd1HYKNza FzFTgqb6iGpHPwpDTQHL/7GQYOWxqCe6IRT494TNej4SjHw4e7fwNIWyo2lU foUEsYlZcR0FFHTzAtZXnBuE+p/KzgEPKXhzK5aJrg6CExym3VNE4Sp1WdPs ziBKXaxz6McUIrkDhi/KBtGj1Vw7tYoC64szcZ4chMttlsqiFgpJt3OWpW4b wswnfhePjVPYGmO4J9xsGDn367zGJigccJvL3b96GCs4S4xOs2ikbkjfEmo7 DKfokaKkaTRCPBIPFPsN45RtWvMNDRrvHdtUdDKGwf9QqVszn8aRDu/ZsRo/ 8bDP8MYMV6b+kAvhpz6CpFuJ/t/caCyoVpqrNW8E+z3Eplx3Gl5rtin1rhzB nPLy4i07aRgZZdkr7hpBctqeV6mBNBIeO3Pm3htBsGXGgGoUjX3chI1vXKSw E7KetJ+kMXVfraltgBRGd4JPFcTQuD7rrWwoUorP/7FSdk6gkalYU6KcI4V9 5+c559NodJaHZRrLpTBJ0HVUzqPh6HR4ZkDNKORWp9Rb79PguphFRnWM4ou4 +2PeAxp+CU23pD9HcWlnqY/DIxrSe1unbbQYw+Rij6OJ5TRu5zvF38kcQ3vX U6sdVTRsmop+51SM4e90Y/mCGobfOmhiVccYwuX9SbX1NK5ldBVEGIyjoznt tkILjagLTTpFOeMoOzuyr+UfGgd52vUrX48jfZ3fopw2Gv6OoTHd4nG43F32 eNM3GuxC4oHnBhkW7mZHafMYn46z/A4dlGGqhvxXfjeN6d0flvtfleHZ8cY3 cT9oSLLsbOZKZGBbrE5zF9GoCra9W2M6gSP8m57GNI3ji49M6PpMwPWaov7A AI1NyxWmTc+YgLlraFf1EA23Ub6rydcJKE75lHtphEZ07OreT6ZyEH+tC/Ef o8HX0smciJajPCRn+YoJGq7hdQ7G/XJcM1IbnpykoeF18KFoYhL/B4qQeb0= "]]}, Annotation[#, "Charting`Private`Tag$2602913#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUHtUjHkAraGHSE2FpCRiRw/rsag87loJPXZNHtmwhXVMg1BtWypShok0 mkMxrU6ZqE2UhmS3zWNlhdCk2LS1Na/M18xva+s073b2j3vuueeec+8912vP 4ch9NAsLizAz/ue6wEnHdvcqseG42zvBTSlqltYHR/YpkWRZ3T9TIsVIoXA1 TabE7Vl46b1YhiBdXkCtQonckBnGx2wZMnceW7xHqUTNTqbwhUCGpsZ9fk4q JV5sdR+QNMlg58Wc94Qo8Wi4e3WVSoZN2StnJQwpQVknD1s7y9G53tlFPKpE GlvLSNkuh/rtI30+jYK3R+ZsfrscS5ZUjayxojBrfTO3Y0iOlEuFZNCGgkQU +zrNQYFx0fESpj2F5bdtnT9br4CrZMZLuiuFOsZo06o7CuxaZ9P02I3C9jyt pOuFAtfKhxqPelAIbnav95Mq4HewubZ1NoUP5a5vhqb0Y81IsiDf39xX1OWb m9wPto04jr6WwnzGsO+ZBZ/wmy/Xlh5PISSZP3iFo8Syd9Na+EcolIy/vLzz svmH9PJ8l0QKzKSKKROqlLjW8szNNYWCl7fo8BdiJbiHrfw9sygkqNsTW8w7 IkVZTP8CCnYl26joWgqKoAzBxkYKZ2YeZ/SKB0APTfDLmjyA53fUpRMNanT5 v21LbRiANOebuDMPBlFTDG/pdyoMfdT23Hz6L3ZVL6N7mFT4ctXUlfWvR5DJ KT3ZValGFBU63Y+hgf2PNqG7b6lh/erqAdYiDQSsQ07yajVmOkZv/jlIA1FY oJDcNfvn270DIzSQ01uf0h6q8cot7hY/QYOwYgvb+W1qiBKPRK9q1GDq/Zi8 H/RqlFy3ZVlHayGsaNqmM6qRNFoZbtirxUKBr+cJC4KXDpeLtIe02JgxWs21 IrixpV5jl6VF+lpea5EDAedeXmxupRZ9bxpdnswheHWCf8jHqMWtfo+iyeEE 3wY5pU2p1IF7lRPb/TVBcd4c4ZU6Hb6PVM29zSQQsGOGF/yug3tDQ01EFEFV BK8nr0uHs7wdz3L3EMhDhbmLHPVgLbsyaJdK4DY9uyM7TY9gyuJ+ZxpBWWLb w505eniWsNIrjxM46qXDmwr16JgQYBN6iuBcQbA9T6THur863HN4BM/LttSe UOkx+5TLBpsbBKF1HytiWAaYAtLt31cQTMqPmshJMeBPlUR84yZBf1lCRjfX gAtRol0hdwjsEk7xAyoNGPOJTOQ0EKh8Qk7LiAGdPQ8Ctj4kSN2/Yoc1zYi6 i14m7ycE7pwHSakuRsSb/uE+/cPcH8BYFx9kRFcrr3hcmzkvY6kV65wR9adH 97a1E2QejTqvLjHi4oqY+cIPBAUH+W+c7hsRdn3B3a+6CeIuTS3JkBkxL7og 1amXYG7T1qghoxE0B9PqPglBdWlpwd5pJvyS0tJ88hNBj5ePozTChAL/pTzm AMH+7l8/sg6YcLTvpy1ehID2rNxZctaE8MLxboODBHpnyw3vq0xghB/seTRM wBZvNDqKTRhv+a7swihB22KpXK434e97K9ixOrOek3NkxG8MDWzh5wuNBIGW m1/rDoyh0HPiyNgYAd3dmdVrGsN/5UZ1rA== "]]}, Annotation[#, "Charting`Private`Tag$2602960#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVUnk8lAsbtZQJlSz1lfJJiRSuVCK3zhWyF1JK9qVQKdzuTUlouaWydEVJ KmQLCaNCsquLIsWXUOadscw7M68lhsG48/3x/M7v/HOe85zzqHmfdvSTEBMT ixLN/7HMaPF5r3428u6c70+/yETR9ldmjgw2zGyjTI/tZ2IiOWO3BIuNY9Zl qoPKTOwUxBoWD7KxiVmg0zlLINL1vL43mw39Qhtbj0ECDVV+2gpcNhqP2jj0 dhKQUXPQqKXYiBTf+/XFewL2l39dGzLGRjjTI266isBdlqbyugk2Vlh50jXL CHRbKCp94rMho2k40VtIQDVPuCRawIYwtvD41xwCvovZNP05NibrVW4PZRDI DfoizphnQyLE/hbrEQFeW/VMggSJrDyHwuJUAlu35k+YLCSh8ey3NYYpBM7d TaZGaSQW/J3m6n2PQBU/eviJDIn6si8WaskEJF2CCIclJMq5LKvjSQQsK4/0 ii8jkemU3rVRxGP/a971QoFE/LgXzVXEOyL12r2WkzAcy94zJeIridXN8itJ LHaulZ4U6bmZ0xpqlEk81kus33efQHr2WFWwCgl1+y0PZ0V+BqX7XqmtJfFP wJCXQORX++T74vZ1JFroYqdMRfcEfyjNj9pAQledFd/xhECZ3uOsLRtJBA6/ p2VnEjCZ+CMlQUfkl5qOlXlG4Jqzd6KJHompy6y8RFF+La/tYkf1SdivOKh6 qJjAoQj1aAdDEkmvPYrOlhN48EMuXNxYpB8YG/dR1MePPTNnX+wiUdTzcc/h OgKBtE8B8qYkPPuXmVMtBJ4HvPGpMSdR+1b5tKCdwM/mHLdgSxK/OZaq6HYR uBR/yaHdjkSMjGK7NINA4iodo4TDJJzGlx0KmSbwZvP1RfJBJLS/3avdocuE wef/tN45Q8KXnvL2yzbR/4VnJyiFkmDrGFTEGDOR3tqovPIciZA3vsM7rJi4 fnqhjmo0CTNp7Zq//ZhwLIl20EkikSZ3WUIynYnBnRdTrKpILAqbXsPQZMGT WOzRXE3CXda9qV6Phe6bqevt6khUxR5cVmbEQktPRb79OxI5Yb9z62xYKI4Q VDl/IpGnorz6xhkWwmv/JPwGRH5DT/2VVsmCvHWIdvRSDnTrfmRZuA/gcY2c 7E55Dsw6Lrk9CxiAnlHB8KgiB/5S6fQ1Zwewb+NQltcqDpxu3pnXvDWAGCl3 NRN1DhoDebLfywewoM5qhdhODlKUNfRqlAcxaawmFuHHgWB7h8wcMYgenbaO sEoOhmSfzqalDOMRKX9R8i0HV06HHF6bMwzv3AMat2s4sOcq8J7RhzGs3nXu caNo35HGpv62YUyu7lNpauNAtdXK9B2NDXkZznElFgdlr5uMo/5kY+8AbbZw CRedtFZOkbuo9zSoM9252E37YNpry8X4+XGalxcXnixZuWJXLgycs8leHy6s U/YWJZzkokJOrqTLX4T6RxKDb3HRGNln0hzChc6r9qbSFi6+eV/0KL7GhWTu mVD7/TxIaVakRBZyIdiVK67mRsHtuYG8ipCLr0czQwc/jKDMZWppmxgPTmKM Exu+jmCpVPniy5I8OH44kH+CGEG1665Fw4t4uBKhayg/NYJ1MmbzpYo8MOql B2vURjHg68C11eJBRaCT3fDHKIKUT74Pd+Lh3oGLg7WaY2hs0Gn6xZmHrmur /TW2jkE1mKpnHOHhCV9hW+LuMbQ1hVRbevBw1cBPPO7gGPTPhr1UCuRBS3d5 q+SVMfA/Xnuaf4mHyW1nLIWMMURefRLVk8fDGKfKhModx5I/adZeBTzckepq p+jjSPE/pTDwnIfwLQdcZmvGUWJjlEGV8hARqvTBqHscA/Lt9RJvebB85Uu3 kv0JmzSxRVodPCQ3H7D+dvonVrz0iD07w0NqSPPNHtMJZOQ0HBLM8WBbLHie 6TABvZTNqpfEKNyhm6+K8JiA1UX+8+sLKahb7SrwuzCBcNO49gdyFDL79duW lk6A8bFKqXY9heLvZgFSWpMoGFJ5sNSWwp7+Cxbkej6uP7zq2bePQnXHhc3H DPjwdeRuKHSgQMX9jFloxceaysoiO2cK4QGa6+lBfMTEHW285U3Bxdbq7mgF H/4G90dlwih0Mox6OtynYEaKvey+QEG4lmut+PsUVB/7h+dFUKiQLt0Xc2MK ndKGNOsrFOru6+7QoE/BvLdzzY04Cp52Lf52ctNYd0XJkpZFYWAiseR2+zSE huFLunIonNNz1vMhp/GVS3zKekZB/sLDvLSFAsQ7l7jtfUHh1wJXTVdjAeY3 OYZeraRgoVU0lZovQPf314YH31Ko3K+tYvuPAGWJakL1WgpFy1vj7w8JECQc uV7fRCFSUbrYWHMGPe1xaZIdFHrSyllahTN4dY3v0/FFlC8zNcPp0wwSjT20 Mv5H4Ub3isZc/gxsnuqW7umjsNE08qnL3llouCSFKfRT8I7NaZc9MwsJOeFu BkHhfAbjc9KDWZSfa30fNUxBP8zir+DpWSTpbI9z4FAwWh5lk6I9h2BGqpMa RWHbOwMff5852CYvUB4dpZAwMmLQljaHjbYnv1f/FOU5TW+w/DGHBeKfM+P5 oj6YW1WsNgnxg24c6Cmg0CdeYvkoSojKwIxf9OYonKhjv34xJkSyquzE/Lzo HvXjFaNz8/gXDiQ2Wg== "]]}, Annotation[#, "Charting`Private`Tag$2602960#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjns41XcAh0/RVJSOzKYxO7ksM41tGc7ah7Ie1xZNVh6X4kTSSoVcSyHJ 0JOEhNweaaaQKEm0SmmTk+tUG8Y5fuf8vp1cTuf2O7M/Ps/73/t+OHsO+vAW s1gs14X9zxsOH3py0igM66SKuFenEN9h1rz2NAV2nbaxUkeA2fCm+MozFJx7 ne90uQlwgO0CiywKAQUP8szjBZhs5WvUZFN4/8XV0oxKAYL3hDy2PEfBc986 XdunAvg0nvS2zqdwpfY8ZztbiKf+egb1BRQORVlRL22FcNEsH7G5RMG+O3ne wluIb3zvh3xdRoG3pHTVnSwhjKTqaG4thaShrSc2KoSYckwqcmun8PGMzGq+ cxrB4zpBTzso/FXqY5ozMo2Rs8WmXl0UGgt9TCnJNHpG7/y67TGF+eLow3IT Cg3J8na/PgqBu9fcehxHIbEzdpw3SSFip8OXSy1EYLsf/vzkShG0LySbOESI UXZfV9uRLUJRy9Hs2ONi2DjUCSWrRSge18guzxNj6zpB9W5DEVJ9uXkd7WJk vhfIcTYT4doH4fVWejQ0u9wMWI4iuPU+PG/WTGOey2El80T4qPVJ/6o5glHr Xn5cmwgNhsar66wluF4Cs4lAMei+UOein2YQUG/HNmbEKBmYuPssbg4n0q6k jNbSeHVuIzUpkGJFrJb77joae+P3D0e9laIo/IDeZD2NMXde4CKlFI0eDhWk iYZjWFfUet13mGQ/f7D4Ho1zWlMNnRvewaOEtdSSTyOjeyp04tQ7GNwKyo5W 0MjUWx5WYyZDRc3vO+QqGvavDw3S62WwKbIyOc4i2H94Gf9bBxnckqT1GUsI 9qW5SoiXDImbc55f0iVwTYgqbY6VYezPdv1OU4KlxbfPTPXIUCcwvrTSkyDS qarA/LgcGZfTgl9tJdiuvaVDO0uOUB+x+W/eBMUJGmkahXIYtbVd9/IjsDM6 0GXZKEdmjv/DrD0EapfBzUECOcLtCiXL4wgKenuOzu5QwIVi3RpJIJDn0W/s eQqYlIUn1iYTlHEuny48osDAMnst99QFn8JZ0pCrwPcvB4zO5BAkHdx3jNej wNpUfVetaoL8uY3nWR5KMPaJKwZrCGICexoq/JUYFo/3VV8jMBraeTYxUolc v8aALTcIdol8n4xkK6H+zOdIWhuBjr64vmZAiZHXrfa+9wjKpel1fkIlmvM4 jFknwdCzf8v9lUr8zLzJePCIwOlQhEGCqQqjz3NKNPgEPyRUms7FqNCSLg3h 9xMoT6XctPhFhTxukGXFEEHL6VwvRYUKHlXrmza9Wuh/ovHVMF8Fi135cXr/ EBiWtDvpiVVYrMt8NzZO8HZZSNg2LQa3jz3rThESTMfN2WaCQb71hhxvEYGl 14UYdQCDqLHiHzmEYDCL7Z2QzMDzouYaiYTgJv+PyfQrDNZ5Rr7umF34W3Dx 4ewjBpqLXlTmSgkezXic+HSGwd83uRHBcgK36LNVfeZqtEVUfGGjIpi5m8J9 s1eNiybac2o1Qb9hb8wgo8Z/3DdjDQ== "]]}, Annotation[#, "Charting`Private`Tag$2603007#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlHs0VXkfxt0GISJTRIkMUagZl0g9KZWkUpGZFIlWXq9EphqFLlIig6aX qBBCckkMueRapCbJSSKpHO3j2Pvs7eA4HAdz3j9+67eetb6/Zz2f9V3PT//o yX3HZKSkpMIk5/93qa2Wi340iSCT68E5dzg412BYYXCNhPNawWiXCwfj/uXn cq6TGHtameNgysEJdUcY3SDRrmLD1tLkgKhiyeb/SSLmXm/tuCwHR476vjRJ IlEwj5FJEhLoURq78egvEtvOCCLe8gjsK7u81yyZxMFlE1/nEQRee2osKrlN YjbCz7PrCwFHuazeNXdI2G88eXaol0Bd4dqMJ/dImE79pqPaTcDGvdHXMpNE izjPf9l7Ao9nXFdWZJHIlNG5JnpHwDT3K2XzgMRQUJ9sbAeB7N3BpVV5JHrX 3tCuektAVzh3en0BCfk7WdFnJTo5I8HuWSGJZeSeykqJVnPSm9tYIvHvXmwb JHkfM1Lc3FBKwnLBqs1JEn+Z1I0xm8slOvOQrxaLwHmHdpfnFSS0giq3iyV5 xrmH1bdVkXCb2BNlLckbdJPX1VpDQsU6NbCxhwDHLiJtRx2Jjyr3ZlL6CBxh q3i/biAxKW1d87eEvzfu7opdzRKepuHMRWwC//TVFLq+JJHu0d781zCBbdE7 QzpfkSjucmt6SBOoN/tk5faGxHPjRwcmRgk8iRTVeXSSUBxIizcRE1hlHBvV 857E8IiYpSzNQc5bbSfPbhKbsl5TOvIcpCy3fefVJ8lH1SbXLeAgvOks+xhB wtW1MoRtzIEgQCGfM0TC6WwxW9Gcg6CFKYH/IUlU96jSrpYc+PhVCAJHJPvU TWt0dOBgm7xA4XcRidy465uzDnGg7nxq9WVVCrmpWbWJtznIbFRTtlOnsJr9 aWTVfQ7W2BZx+QspiLglRQMPOdi9cijXR5tC35xNXGYNB7HyXvoOhhQGb041 7vnKgVzzjkVSdhToqcQ3uuZDmFivLxV5jMKYteGzDT1DiC6r67fyp1B/5ptc wuAQNFcdesYLoCC1RInHZ4bwy5KUc4eDKVCb26UpeS6CJ1UE9ucpJGT52xdZ ccEtn+ROJ1I4zzr2bHsyF31mHaywWgqsZO2M1b7DyCDVI2TrKXjHBfmknBzG 0Yf7jeIbJX4xTb2q4cPgGnb/kdlCISlSu23F/4YxodO/tLWDQoyjfcxg6zDU lajjmt8lfG3p+6otJL0gFMTF83kwvvA0IF6RwuN0GA568WCmkX7Bs5+HsXNj Cj4+PGxiRQqieDxYe+SRn3158C5Psnkq5qFGTa2s25+HOE0jS0cdGi0X+x1e n+JhmUdp9vCvND4djfB+cpWHL9pLb535QEPeuCbtYjEPKn6xzc96GRwusVZf OstDZ3Cy+vIf+Kg4OKnaIUXjw6vDG7TU+FCVr1aJkqWhvDVpQkubj4ZDGxS5 ijQCnPU2WZrxYaDkOFe+kMbPebuiWO58EH57eS4mNAp9Ti1uyOcjaElgW7gb jYYTRXjqPoqWF2atFh40On7VUP18ZBR6Iczzgd9oLLANcFMJHEVH66kGJ28a iQeiU2Mvj+Ln02GVmgE0ytXzdyk+HoXw7dUHhRdoLD+05rvO/DFcjL5/qa+A hmnTpQSPjjHMP6vg7FMkme+fTNHvG0Oa/wkNooRGfGRXoZAzhrKdttlMOY20 giWhL+fGQKi/ey5TT0OjOP7DnMU4dqZLKZqwaBhmtG1g3xzHokrvP09P01AK HbRJ8BUgO//FAdEMjbmQkpUGIQKsSVuld0GKgcoXI6+WSAF2RAhLYn5goGm1 4OqWNAHCtyS8u6PGIOD4QP7iTgEG3tZpNq1g8FL6/jffrRMoGlp6R9WFwe36 2NDv9kLJPxp9pH83g1pv6y6DPUL47eP9VLyXQX782qtXfITQra19vMuDQaJ8 6S9PrwoRm+DZcuMog9aCjv2iTiH8rVP5SmEMbj5QDvsUOglHUqqy9zwD2VA5 956YSehl+ocXRDJoaLY9rpo+iQ/z1ik4X2EQ4/rfDT+1TWLr5w+61xMYdJ50 FdsbTMHgiqaTQi6DSJvxoC0DU5hdFz6/O5/B/WMG19qnp9DDY3fmPmKQVxzx ou5HERI9yg5vK2XQVa2sxnYWYc50X2h0LQPGq6J9sFqE3i9V69zrGcy3Ntdx +ChCxS39WcMmBmXm6rvsJkQImh2Jed7KYDd3hZ2F5TT63iWky7Ik/O89rQqr piFh9mV1MShQNHr1++dp3FrvbZL9kQHHU5b0kxFj5wPz8s39DFhpjj0OrmIY HUwO0/jGwIDKs4wKE0NGbXbjAJvByu0j9ak5YlT/8abtEpdB4YST+znpGSSb WSXspRj08jMsdSxnEDJw102fYWBzd1LsETADlxS5JXw+g9jg6TiDBzNY6RL4 pWGcgW7fnkne9xnISb/PSRQy0H5pXmVqMYuvf68POCJiwPZKEKdGz6I2INti zQwDl/3GIxcFs0jRUxbMzUl6KMtxFM7M4V/HqQXe "]]}, Annotation[#, "Charting`Private`Tag$2603007#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVjH841HcAxy9srFIR6hEzTZ4kaYn5cY+3zZFCja1fi4qyTKms9YT83JxJ cSwltFYpOyzV2Kj5UWmp1KOckLjWqavrPvf93Klz3I/vrf3xel7P65+Xc/ye 6AQTDoez4h3/u7tcJTVxIyi0/W2fdPw1hOoT4kvv2mkB199qvhy+yT5tiYsJ ihVjWc/2yNH1XFT1kSeBJMM4xaJGjnUxKemDnxC45BQOTe+TQyqasbFkOUHg iSh+nkEOs86Vdhx/ggqpq5dfGMFR/5dvm7kEOpmPRXcSwfw/8kR7QPDDy9I5 pkcIgs50lDzlEcS0DPeFdRNkZntP61hDsOoA7+VAkALjAc6crAQCP6PXoXA7 BvzGdrF3IkHcxtn2VZ4MbNxj2hTvvrXZSY4NYQy87MvTY/cSXKg8PcsjncHe ielq7kGCfKdQvWSIgaxpQqYrIUg2rUlzOEYx7PFAlNZK0N/0ndD8oBK/yq0y TTsIxlY/UljwlYiv/dK16DqB8IUw21SghMxlIPX0LYLlheaRL84qMT5P7Nj1 gOCLsbWHtt5Vwmoq2WHzgqC9ftnuDXNVCJWa6xssFRje3tK06LIKl07B5flm BWpk3/jPfjKG2Is+Vo6sAvNOfHvYZ54aOfwzucN1DKZeOZ/tfU4DywPmq+Iu MFj8o7XIvkGDysRka+lFBpXL4mvNWjRoDPerpk0Mbs+1XSjt1kBq9fCmSQeD B6m5uZI3GoSf4li4iRgcf+Oxo5c3AbvmLcX7dQwON1BvL/kEqoX/rNMaGERG hvSK1BNYWunulM2hWCMOt8zgTGJlpuZiwXsUWVP6X4/aTiIjWPCwaibF655o nu1nk5D0tNvc+JiiNyhd6FwxiQuvHKtmRFDkH9C1caO0KPiFv1W8mkLdFc0t 3qzF9mjFgoYoigK/wU7VTi0cWlsvRa6nKEy6O6LM16JQsOnWkXiK2yURb0ba tEj0qVBNTaM4qu6sZz114Mk5zUMHKTJzTW40B+rgdDoxoy6Lom5RwrWiSB36 P/A1X5VHEegxK79spw4hI/0OhwQU7RvvzfSo1WF+nk2YeQ1FhR0/9p67Hqxv huWAkCI5VpgzztXjsWK0t6aeYtfC9603rNajZH1jbOhligW7r4TdT9HDuCh6 H7+VYiCwsEjytx5DT6/4ru2g+HnQM9+tR4+/ypxZlxsU14JKebcleuxmlQU3 uyhygv1KXacZMPxQcMpURHE3rmNJeJwBLfmabaJHFGd/2v94WaoBZQFb3KoH KUxHxbadAgPCzy9p+lxMoSuyF7hfN8D16+Np1s8ovg9x9fd+YoDJTDZQMkpx 1a1CHzFuwNXU+3dyZRRzrNIdNi1lcdzDWxBFKLiNDdt61rBIkZz8yplS/N7n Hh2TwiKi3MxepaIICHR6LjjGYmHErqfX3lKMlCbM4bWxMJvSd65EQ/F2SZnJ KxmLf/8MSNqqpdg7wK1b8aERrUnVnksNFKMh9cEn44wod5qmNhop7rR+qr7H GvEfO2xYQQ== "]]}, Annotation[#, "Charting`Private`Tag$2603054#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVU3s4lfkW3lGk2FKOOVMZQ6hdidNFinqjptx7UOR+iZP2VOgyk1upyeVQ aDR0G5Gii6TcSkpj3JpuaodGLo3Mdnz7932fzdbeYW/nO3+sZz3v86y13rXe tZZxWJRnhBqPxzvM2f/98zypWE1AYKvqtknoonBj7HxvOYfTkpPsP1VTsNlv /ThyOYGde1licCqFlgHRpW8tCdZE5TNnoih4B8TEvf8XwRd5TrI4mIJYxPfN Xk1wQuLy6t0OCkdcStc6riXQPKTh1eZKYfrvTga89QTl5sVVM7ZRyFk/KKux I6h5kpoz6kDB5P4pURQIOndf6dm8icI9gcn9xQ4EU45r+h9upLCpsD67bwtX 35YaWsLh1/8MjMrbRqCrtu/jAQ4HZY+7bXcmaJix2yAGFBjN88s13QgifPUt 59tTSDy+Znb9dm4e16X1uzZT0Ja/HfrBk6Dr3Sbfb7ZSuHwgunXFToKsUxZ/ BTlRWCbWKRH7EGhciODPcaNQG3g7Od+PoElRxhd4UHBqdwz3DuTwuSRc3Unh vavYgR9C8O+s2/LDfhQ+2xrzjkUQXPDf4zAngkJyxZPeNZEElRtrdF4LKegv C3hMCwkCvJ0LRdEUVs3PiwuMJghdcabiSiKFaIX2mF08wYajZU7DFyhMRd0S yRIJiqpuLkgtpJA5uO1+aRIBpTyk436TQmnHyaiFKRx/cIBjxEMKQ5WKoYls gtYmWWnmBwpHl+e2VuRw89vnf4kboDDz2qqS73MJ9niaLTtNUzDPORD+4RKB WJG5/mueBGExA721xQTdfr1WTeYSdFu0iWLrCPIKov1+j5XgikQvUb2e0ytm Zc/fP3HxN73Mz/xGYNGySdMoU4Ih086jBc0EgrfJUtFVCT4v6DVsaSPgqWu4 4aUEerPIHv2/CYSmK6v7zAi2ijUny3RobBLSIT0DBFrXnK7bzKGxQ1RlHCQl eBGa4d4wl0an2GMdqyTw6uEXtn9FI6lVpuXA+ZB3/9g6aUzjVdD1shJnGvEN i7KdrGmcbHa4FVpJozwfpgNBNAws9ykFOQxG40Y1Q0NpLNtTGOBSyMDap0TS s5uGyfLPjXF3GTzS1a3ojKRhF0Xnq79g0JzUa//8II3Pblq6j2ew+BCWGHw/ heObqHv2Ip6FxuJHF5PKaBxem+9ptW4YTupRx5TlNJxVz5O/tR/G6T6TsLgK Got/Tmn9ymkYeufTBYcf0Agw9Epb4DuMhVp+D/Y00BBssXA5GjuMlRJFu3sH jXaTvWbpj4YReNdaz1BFY11XsdLqOymq/RT8Nh4DC/XqvS/cpeBr1Gr/pM4g KLVtMHqXFE8DNswcmslA5n3Svv17KUxmbZmqnMegf4l5hnaOFOJwD9pVwOAX 4w32+CTFgfn7niXs4PLbMrT1MkbQ3GTRYunDIPr1qwTxLyMwimEb+30ZZB/2 etBcMIK2loNPHYMZrPW/011SPYKVR2Jr9IUM3pj589j+Echfp1wvPc5g9hWR ZdGGUSQlF57ovsUgXc1TffvkKHR+1HQOvcOAsT2S16Epw8XI/XPFnO7mCstQ 4TwZKlzWFbGVDMJzQrRqlsog1nvTqFbPoGd1/pdBXxlc8nkzBSIGM+Nz+xpr ZTCoCc48MsGg7JsR7x9Tx1B0o8l7XMmAza5wfX5uDFYXlxkd57HYxRvOsbo6 BqdE+d00bo/Hfn43zerxGBI2Z725pMtiibzTUEs2hv7XT/QbFrHgP/TQCYn4 jDv/NbzEd2WxsXFzunSXHGm/Jof0urMQFuT2DgrlCPekzco8WCyoOhuolijH wrq6cjcfFqo/o1eUFMqRnuXffDqMRX1bWdgzIkek9QXprFgWDvPdpoIyFNgi 4dV0cXdktX+uxtwCBYwKIhNuHWORPb17YKJSgQ4tG03nUywEyhum8X0KfNfT sfA/WSxiTct3Bq39ApNT+o6axSyi40yb+2RfoLJJ0Om8wcLwSLLEgD+OP+lP b4tvs/j4ocnz/uJxZPtUBG69x+KHr800lgaMY2qp56HkOhZbL9tpN/0xjq6+ hzY761nce/nSv3FwHNXnjFWmDSxWHc+bFTxjAgdUw2mNLSxq07b0nXWYQPeb rHx1EQsyNG8wpnkCD1Lku0XtLAouNvS+GJrAOdtgQdF7FmZ77be58ifhcn1F pUMvi3L9+CE7/0mY++XGzv2LRVb7yQfTTk1CTVe1sf8Ti8Fg519zyyZRe/Tl sxNDHF9qplboLCVyLdZkeRAWJUu9KaGdEjH9l3cYs1x/LYt8NA4q4Zo3fb5U ysKgIz7IpFSJJa77+p7KOP18zjZZECWmT3t3LVvOIkK76tHZ1Sp8rLIVhoyz 8PwUYT0tXYU6YZGllZLF6NmuS5cVKuQZzR6bmuL+3K01XKmcwv8ALCfEsQ== "]]}, Annotation[#, "Charting`Private`Tag$2603054#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVk3841HcAxzHcUtKdX1PsTiEx/Vy65WlvG5lDFomnWjjqydNataxHhXYq RbWwyi0V86t6NKnYlEQ7ip4pGepSfoSs5vu9z/1Q9/t7u/3xft7/vt/P+/X2 TNkVu9XKwsJCYNb//m13jJe0i0I4L7nu/kEZliVe+GHVYwr2XNvdLa0yvJ8z 5NHxhMJhXpRdqEGGpufcjrW9FNi29V5L/AmyxcLdA/0U9iVVvFsVRxC8vtJt i5TCOc6iqs79BNaOryX0AIWILF8f6gJBxxOfHRmDFMSiNvlXLQTHT6U5W45Q aIxfmB48RMC2o7Y5vabQlH5o2yF7Ofo6Atil/1DYWT71iuMuxy+5u5rm/0vB d/HJmCg/OT62VM0IIhRS8vi246vl+ESjvSHUmvv85Nqy84AcYRMswzV7Gmyp 4HT2SzmmVQmq+bNo7M9ftjHsjRxdwhPREg6Ns+NLirQqOdYNzizvd6Uhelxk 6zVdgeQ+5zCDJ43U3qb3VXwFMiXzCgWBNMLpcpOpUIHrpfAaT6SxYe1w156V SqgOqFhCIQ3tE99VJaFKBCZcnhxMpdHNex7SHK3EHQeH+mdpNIodfR/KU5R4 IBr64q89NDay0tbwTijxIiU76eZRGnmCPa23B5SwnX+nRHSNBnV9qOFyhgqb 6wLZHgyNCO9QF17tFES55Tkva2RwZZYzXQlq2GewIoS1Mtws89NwU9QoSfuO M1Enw9243UszdqhRH/lZJWmQ4VDh1VtLc9SYYPe0W5l3nijcGjtSo0ZkqcWH C3plKAmLdVhgUsOlMenUXr0Mzu7ibZ6/aVB55X68zijD27WtfX6NGiwu8ef+ aEEgEc+WBkk0EGSr6/JsCI4Iyz7dK9UgK6Sg57wDQckKm2yBjRaj3S1Oknlm Tjaw1l9M1qL2jcf5mVEEW3XjbolcHfIu5iYPRRNUGzOjfAN02BJLe1+LIfDo Wz5qHaSDe3Pz9TUJBEu9c1aq43U4XrDpwckUgk5bh8nuAh3SAs8p7Mzcjeto ySsbPUInLRoHMs1caRM0c5z14P6allVzkICTWfci3UuPp9P4rIgjBOetLo6J QvRYPfjUPb+AYIo9ZbXksB5zjziFsy4RFN2rqlhhZwDDz7J/doWgonpG6Ls5 Bjynx/6+dJUgrn+MQwUYUJhQvznsBkHp0J1dRbEGmPxi03ObCYr1/sGeZQYM DN/mr28lyK+T8u3rDfjjjCfjJSG4e2776LoOA3Yy8rz2DnOeu8ab0xUGvOwp KP2gl2DmQGIcJ8KIW0fVqb39BDmnf85vERpxJihpQaWUQJf8aL7bASMiqxc2 fGn+EV8Qds+v1gifjcX7Oa8IRiSuKqdOI6wcmM9HxwjuO/IkLuNGNO179DDn LUFkuYuTO49BccDyghiKoOejYU5FMIPvRy/EeRKCIBI3uS6VQZTYerZCQRA+ K6StPY+Bb9SO4XtTBF8rvY89vcHA2rKvqlBNMNHWedVmhMHI70Hbk3UEbqpj 0XwXE5q3Vy5abCSYKzo7e3KTCWLu9HcmE8E34n3NfzIm/Ae3WmNL "]]}, Annotation[#, "Charting`Private`Tag$2603101#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVlHs01HkfxyfUuMSQ6Z5m6bLpsutpsWo27/Wki0JMF7uVGF04KirZMlH2 CauxB/uspZBdj3TRuCXF6EFWTftIlEg2qlnZTb/f72sYZgwzs7/nj+/5nO85 33O+7+/n9fp+HMOiRQdNOBzOQXb9vx5uC1zc/ZhCQJ28XXaIwWf78k+ue0KB 32QMkLgzGJvf56Bop2CrmNZ9Zg4D+UuBIqCDwsASrxiBOYOEHPGxnk4KZ2IX aWR6Gl/uLJp7oJtC5A/STQ/HaJjZv2uieyikV5fFBQzTULQvPXKql4Lg5ulF MkJDmh4xc8obCiFC5s1Jhoa/b0m9VElh6uHLlw6xeztLKpz/joJrT1pWAHv+ uWKVXcGfFORLZqbYqGhcTI6WfzxIwXf3+ZSkERp71lfur6Qo1Go/z8pn7184 ZWS6kFDY9eDGmLeOhrLe9U6zisKOhX7Log00iuO/CfFXU2ifcJzJM2UQsbbG vHuMQnWeOHMe+76V2vFK8TiF/Kg1JNWaAakW7vkwQSG00OG/InsGt2ISzGIN FDZJ3P51fC6DNYQTlGpK4/QPtzgXlzLYOMCdLLOmkeMqL+B5M7C44lPsYUsj pUHtbuLL4LE4zb9pBg3nxLiy5TsYbO+1KeycTaN+1nYT/kEGoc9nbpx0pHFs u/QvuwsMzjQtyvRxp3Eo1qz5ZDcDz8SDazo8aDx7LFqrVzIw8bym3CuksVQU k1BMM0itXe527Esas8/npYtMCbIr/tGTvYVGYY/QytqFoKIAi/v30SgzF1lk pBOMSEa4YjEN8+92+P47l8A96NqH3v0sR0lSmuwqQR2PV/UigkZWdu6LxQ0E DxP7vFpO0NjUrvNzUBH8HpYQciuFRuDdMe7ZlUOY9nFdbmIZjUsp54U38obg Yxp9Vl/B5g+ruzz4nyF8/9opTFLF5u33NHUrGYLdRanzyRoart7c2v6aISyw 2F0T3kRDXmfLK+8awuoP2k7/Lhp/Hn1UP2ivQnC5u50DyzE7+IQNlaXCnd1a m3YOg/77xHXysgo20+TTz7NcO77adn3WNRUa964zf89ybd8ZnxxZq4KTpbfx NstxvfTH/PQ+FQYOBNK+zgxES+aktC4fRtS8I7/Fs1wGhkpj97cM4+GDVYpP gxgU3LevaekchuA4aVZ+zeCR5rtTeDOMdsWJxs0hDBY6OZT6jA5jdWzcXX4k A7M7GxSDghFo2lKKZecYJG7za4s+NYLE5MJvX5Ww+Q5Y9Qtc1LA+xd0iLmXg MvXVz4FCNXIjjs4YKGdQHGr2PmOjGlVb1xSR2wxWOExkrg5WY8DuabNJA4NB 89av7NPU2FrAMXfuYODfYhwPfq/GrLsh6bETrCcepd1zK0dRdP3BLp2e9TKg nPtR/ShcclcIznEIVlY8qfi8ZRQ+CZry1KkEw4UXduW/G0X8+oyneTyCFZ0u F7zmj0HZVs9vWsR6sDmHcZOOofQvhzwbXwIznnHUKk6D1MvJoX3+BLPdj8pK pRocENFLygIJchrzJDH5Giy4d6/CL4jA8tyyK1GNGkgz9jz8Powgs9lo94Wl FhHul1SWcQSerbZtC69q4f2Bc7fnDMH/bgR7SeRaCH6JiC85S6CMrHSd3qZF l4UHd0sSwdf7EhJ7tFps6O1acCGD4MfR6bm7to3DKYm/mct6a7otrYu20MHg EW/94jpBx+23m5qddHhJ//Hs6k0C+lmtlUGoQ2ZQVfDGSoK3kdXh5dE6GJeL YpLvEey9LxaVv9Kh53Wtx07W+xecQX/vcR3uZDkaFjexeYTpU2NmTSDKMJTa rCCYWyI7/Eg0gVdPMwpMOwi+cWnIffZ8AjUpmv0dnQROtuEfVWomkCUMcS7q JrCpTZRVzJ/E1uJPbv+zj+C4rLHgp/BJLN2dHTfjLcHrUPuk1oxJmPAMnso/ CLb6Rb1sq52E/HTrb9++Z/vZs+WLUL4e2avcMgIpgp3dN39v2KDHcWX+DkdC IH5SebZYoodvjtk8FftPTwQu4+mr9Fjme+R1o5qAO3tagsuIHmZTnl/J1LBz QMV/+staA95UCyNDdQQS80K+Kt2Ae5FFn7roCc713o+fM2lAjsBq1GgkWNfy q5eZwYi/Ada7UO4= "]]}, Annotation[#, "Charting`Private`Tag$2603101#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkX841HcAx2+ow9BTubbpzEMlFFk9oVq9K7H8yB7iNMtO2DLzq1o1v3mi +dGQKVFqm/SDxCIuGWnY9MPO+ZGSH2lOnny/H9/r6s65+97sj/fzel5/vp63 ZWis39c6HA7ns/n9zyCJSFodR4HmcmyeOjDoTBvZ8fAwBaP0yIbtAgb6wYWr dh+lEBQS/vdULAOvTe4GHccpcO52G9pmMsjjqaZ3JFDwcb7p7nKOgZipFrck UbDauqdh8jqDpd0H6rekUlD9u+3kpSYGgkreOVE6hYmhzW0XHjAYCk0W3jpJ oSiinTv7isHH+MR1XTYF/kvesh8VDEKWT1jfyKUgCvxuonWBDNJeb7qigMKn H90oCbaUYWYXP7mklAIbY17BE8iwcPXd0rSbFMT7HLScOzJ46MamaGop1F7a HD3TLsOpUavQhDoKpVcXFj4Sy7D4XI7t9yIKPKUk4/NXMvANgkQH71MwOdPe UrrsDda/Vvb7DFDo26s3PBn3BsE1TovNWQonsh025VvI0RCkNBFzaEg87SI3 rpHDZGGT0QldGodjy6YGnOS4t3+r/pQ+jbW98R1GPnJYGe7S1i+loe3lfeiZ JIc03JfytqWxT/cPidOgHDFmUV1J/jQG1wtnFXlvkZb5a/rzShpRU0/FVtp3 MD7O9TxQTcPJ149rYKhAaUT0EmkNDTupq0hmqkCd16ZyUk/DbCxhWmyngHRx T7tOK42ugSbhXYECXhc5+ra9NLZXBn4jrFFgWaMw7+gcDfs8iW5NuBLl1zoE Kg0NmdG1y5vjlHAsXWORyiE4q2r66XGiEh7JipqsBQTXbUYGDX5WIsk1v+f8 IoJHNsekY21KjP/TYnp/BUGVnU6Ho+Usql+ZnzfxJvgtmx88NDmLrLLMkBEf gq/WVQk2vJtFuB+16qYvwZmesrEyPRX4zc21ewIJnmVr225YqpCT/2XnqVCC GSNBa9t+FSKcShjDeIIufedi4RMVdr3mND5LJLAThf1pP6mCxS8RSZUpBPG3 jDzNFCoMGLhwPTMIJC8KH/h9MAe34QF+dj6BoPvYbNgXc7DKMN3NvUKwHfaH QifmwLokGT+5RsDXzcvpUMzhKfVScqWKIDzgTGGYoRoFgXXB7r8T8PpczIMd 1dDa+R3JbCYYvmPOr01V49noHZeAVoKluQlxe4vUaCiyZFfeJ0jpyEr2v65G DDuT1f4XgVtuydrcPjWe9+Rf1O2d7028OHbPUQPRSUVYbz+B9dv1p908NCja IrQtHySgv10+nBKqgVeFQ/3OEYLOuNXxYcUaWAedjV/ygiD60TjjWqeBziJ2 2/hLgqIj2g3uYg2afnjclT5F4JXWyT1swuKs/cZ832mCoION3BWOLA6NX/C3 JAQmQpcsU38W3sV6ZgxDcHUl1300gYWNd9ToPfn839bV7dEVLPTe67tcoCAY NRt649nPYuz2lsgQ1bzTvs7xxlo0R5avc9QQPIxSC1oCtCi2eP+tVktwpHHB 6dusFv8BHCZWIg== "]]}, Annotation[#, "Charting`Private`Tag$2603148#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkXs01HkYxsdlo3EpwpbImi2R2kqbDYdnReWWdSslDkmbdSkpteSWsJSw uSQircuxIrZcpjiRMmrbymXTkgibrr/fd35uM8bM2Nk/3vOc55znec/nPa9h 4DGPw/IsFstTNv+rTy93ojaCQvmTVbxbqxnwEodtn0RScPX77YaVCgNlv0tr HKIoBEYqVErlGDhb7FzceZrCpguZ3ZslfGRqiz7bxlDY5Y/QIhEf3Uxt971Y Ct1To/ahc3wse3awwSqBwhPhEksLmd9brV3APUuhwGyP4yOZL0h9fGZrMgW1 v56pMLL+q8A4/1upFPoTt7gUiPlYhc12G9MpDNcquFVL+QhY+dao5gIFX8X3 1stlPGWCArZJJoUa03U5/QoMJvpc6IpsGV/XwfVDixgY17N6OTkUwsQ7ywzZ DEIzGhqv5VFYG7L/TakaA769XtyVQgpXj33St9BmsMWwO0CnmIJPZvEapxUM TknO2edco5CG13eS9RnMN35SuVhO4WBL6lCoEYNFa1sKE29SaNF6Wd5lwcBR 4Vi8pJ6CiM+9/86GQcYIJzDmNgVL0esYjj0DjYLzJie5FHiDgyHjrgz0Fvtw j3RQcP9BeTD6MAOzT8IXrv0UuA3tuwLzGfjVmWvoS2X/MPu5yVlxEk0+QvVu Fo1sO7nfbVUnob7oruo5BRon5ezITq1JtPtaK39QpuEWc3EgfvUkOGz7hYZl NDzCPQ+U7pjERJA75WJC49CjzW6Xzk/iqG7Y41gvGrtz2Q8erJoCr3ND10Zv GvyIi9XRxlMwOE4eju2X7Zu0WmptNoXursh2B38aebd6gz7vmIJZVHSzVggN 1dLveVT4FATPUytqEmgkBdalJbVPITHl+tmhahq8V99ZekVMQ+20ktPBWhop FlcOs89MozA4XHOijkb+TzZzT1OmcdvZoow00GBrdDTGFU1jQqPnoXwbjbQN KzcndU3DuYSlbNJHY/mMcMGcMwOdZv/MqHkaXrNmVpbjMyir6twrktDotQrX HSAz2FRoapDAImBzmkbTxTNwjBPUpX1BMKYWI8/RmUWsXVZP0RKCyibOgJnT LMae39Pq+JpAc7vXG/WmWdS+1y9SdyEYN397faxEgLTilIBhV4KWirQo3XoB gjyoNTfdCbhOvjGn7gug19pav9ubwCakyrnkXwHOZx3gZQQSvMuziehcL0Sw +RWGHS3LP9/fuK9TCPtPrObBMwSF+9yTHAeEMCgNjq2OJ8jdKv41ghKif/E2 JadkgswRiXWwzhx2vO7XS88iMNJN7zMLnQMnWctBqVJ2z+gL590cEaTbYtVe VhFELJf7s95ShAFqvLfyBsGKE1ZVpzxFyPa+7bfzDwLfyHta1qkiLKzzOJHS SvDxUdXSfYwIgyN3tu1pIwiKL1OPUJtHU66hdHUHwXZfJ4Wv1s3jqJSf9rCL YNLxuuD44XkM9WSVKPQR5Akc+7zfzoObKjjU94Igo8grt0JJjFwrf5Oyfwhu 6tnkLDUVw7nim4btwwS24QZ6bVFiGPnkR2uOEiRp/fLes1gM+SVSm7Fxgodt 3J4anhh3f376+OwHAuNw+aFeAwnyN2zNcv9M8KP2s6CjbhIcH7vqZUgIhmz0 PyYlS+ByWVGXYWR8OoJ2YasExi5hI+3TBKPNCd7fzkugKPd3ebaA4HiLQ9hF WyneNFqFBIgITDPWjubmStEaUrZxk4TA44iQaLIWcNlAZWZhgcA60vVLVekC /gPbX7Ra "]]}, Annotation[#, "Charting`Private`Tag$2603148#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVj31Q03UAh8dbE9SpuDydKE5Fm0lxVxLly+dO0OE20O0Q30KIKHdE1uyk xBV4gYAow+JFEHmREA40U94RJUjQdQGN6UJ5seZuh5f7fR0bY2z7/Rb98dzz 7/PwE7+QfeLJYrFC5/jfseeSxJlcCkWFE91nD1mQ1uJDH1tGYd/g6jp3mgXa hAcO3goKg0vOWx8WWbB5Qa59YCWF8tb1F8yNFmS2iWwZqynI5JOlU90WjCUu sL7Dp7BmQP179bAFWziDZuM6CsnpdMWnBguMSVKTREAhQ/T9S9/XrDjOS1Er YyjoyzSKasqKjKzqM2MNFFIicHJxvg0Lv2aLPrpBYWXU63enS20ok3/ub7xJ 4eDQtuDRWhuaxO/XkGYK+Vp2bN1dG4xLNPc9uynwRnYKRSYbxBWseQIthdqj kXkGyQyWtcXnn3TO9VHZzQ0cO2rq+2Id9NxfhGT0Fc+OkLI3A9NZBCOLl87b vtGOPd/O3MzxIYjccOmDSdihDFdpLi8iCH0iKFMp7NAP3eP2riPI0U01SXV2 3JhcdZkjIWjp+RJxdbPIuZKVMBFNQKU6o5NbZ5EkMwX9LCVQmvYV5fbNIqCr 65eoAwQ/2Iv9PAyzOKc60n8+kUBciQ4D3wF5aKnZ7xQBa8A/L/CqAxH/stqe niZIG4oPuXrbgcAqubLhO4Jd2ZK88N8c0PmGsUWZBDuihIzR4MCucV1Arorg 8cW1xkcCJ9ZmciPZ1wh+VHtvbL/jBBOmXPhXPcGUeKhyfNCJJ6bnw9caCTxi TlyH3omCA01xu28R3Dt9p73f1wX3JtlXWV0ES0v/YO/90IWnzzrC9ncTKITv RvQrXGgt5DPrewkq/zy0tyLbhePMq5z7Dwj6JuYfudDswphGVeGlJRiXjgqP cWm0n535WPuYYIVmd6o+mEbh1nhBzQjBic7U0eWRNMS1bzXvnCBYvqdDz0mn seFw8Sn/fwiq2Nphn3IanouYHfrnc/1ZsgJBJ43ObwbUZ14QCCuDtvc4aBQH b1FJXxJsCunn9q5ioNCXx/AJgdctty8vnIGkxJtnNhM8pN7zk3/G4A1JyrNf rQSu67qAqhIG3h6PfiqYIdivebEtTs3g75atyQkOgumA3KAeLze6kmveDqEJ OuPX3NZHu1ESOH/a7SZobKnn1DNu/Af26c8q "]]}, Annotation[#, "Charting`Private`Tag$2603195#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkWs01HkAhodENrJknZ1BluQkq5wtbQpvtbnMkD0uayoJLXZWUcRZt1z2 aJIjY8tyom2LdEQq902KLZmT0gXRxdK61uL3Y/9jhhkzs/bDe54Pz/PttTx8 zC9Ck8ViuS3tfwbmhHtlGRMU/CnV1vZlkNywXPmDCcGlvqdZBS4MekLFcg6b oFRcGz+0lcGXemfmu0wJxgeL8vu2MMhq4kkz1hDU+3DFLEcGA4f1JJstCTr3 STOyl3rHVc9mx9cS3NcYCdR2YpB3R0Qv2BDEmBt1uzozGA/3nfa2JfAx+1e9 cicD109XT6rtCBbUQWP+exgU3e39ULuRgHO+vHMZl4Gn0b7Rz7cQ5MQImiL9 GVy+xx5+spUgMF4jRHs/gwXBu6E0J4LTiRPNY4cYVLYeejfqStDc+0//3iMM NI988aZoF0F747OJrlgGQSbDfbw9BP42SdMpiQz0oiO6b3MJMvmOxYFCBjGc o49TAwiEmhOrO8sYdDyyF2/iE/BefMtOrmJgEUvbh/cTpMacafGsY/BCHNfm GULQY3b6d5eHDL5KSGoyjiKI1G9Ljx5lIHsuLL+RTmBaM3nvgJ0EGaeuZA5U EvSahakMH0ug/5MOL6ya4GrOx9L33RIUC6KNxm8RXHzdb9I2IEGdl1MZrSeI Yt0MrpmRYNzwZbtmK0FhSn5IMHsOXpdYK2x7CDRMp33fR8/BpCkkL0FBYG3f EaxrLUVZxaNAuZKAsn9MWOEghUOxnUU6i6Leybaf4ywF96TsVvZyipQ8r43J AVKkfiN6WWJAEV4b9vN6oRTDz+8bP1hLIf/6RHP8tBTVH8xLVnlTBBy8Ef+0 S4bs306FDvpQhJ61HIsblCHcb3rdTV8KVDbauFIZzFpabu/lU5S6CxzcDeeR IwrqyD1M4Xos7s1m/jwEWy/MfpJE0T01qgifnMeeSVbT2xQKavdM0Kmah8Vl QWplGsXBKWZDpNEC+nS36fCyKHYat3A9ti/A7a8+szMiCrfdpg9HchdglWXs qXONgq+2zzoHOVTbUvX7KygqjkeNRPDleDM90n2tisIqb/uT4mNy5PPrgt1r KM5ed4t0viKHeoPfiVMtFINyLRu1rgJvh+5s+66V4m10Gu/kOgUaCyxV1g8o 2jm8c7/sUiBGNZPdLqYom2iaKU9RYOCl6NKyHgqDqvKpmXkF/hDKvu95RdH8 a5xQxFlEwY4Q27LXFE/XOdl6uCzCq3xj/e5BihMBYQYZwkXYHChMMvqbYk2s uZVv9SI0DVSuwyMUvdrxVkOvFtGc2PU48yMFezQtM8BeiUJ7R5HvFIWK/fC8 drASscMXAywphaOfbYlVvhLeRVqc2dmlP1cW3M0VK7He++hQm4TC40XUTKmW CloavVfzZUu+4bpJLVeF9w07okLlFDPHuZ2OJSq0RJVtclBSDE1GOLRqqVFk sXJOraZY5XWa+5lKjf8AGPVFsg== "]]}, Annotation[#, "Charting`Private`Tag$2603195#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkX0s1AEch4+8FHMm0psmSktJ0ts1m0+pJOnFTYxe7jovM1ovZ4ahNNQx dXrxljIhNRSSuFxqjaxW2aW8JYrW8nZfl7j336U/Pnv+fJ7t4yQ4y400ZrFY bnP7z/eBrkuCm+WollW7Jw7M4L276Ra1RI7e3P6eG6oZhK6M1aVK5XA76xLh aTOLXzayNuOXcqwbqRVNucziQAlrvmuXHA6+e/t+Vs/Cvol3LV4rx3XvdIP1 TSXKH7YHa/Ry7BQms9n3lPC4vd7xIosg6BRIzWqV2J+qrBWZEpKj4gXj75RI 2S2WFVsTbn71di4wVmG4s9Xu9SqCX2uDkblQhUe/VxSzAwiq9hzecJAaoruZ /MFDhBDx9kZ2pBoR3EmXx4EEboINxz9eDQeptO5gCGFtXNo9RZ4a2eJjb3IE hNstY+aLe9WI3laksEgiVC0qLkvka7BnnNXUn0zI5k80qs9r4FganVJ1gSAR N5wrTNegewHH3D+DwPcSjW5+oMHeb90OWWKCsJ5lazGlgXOGnZ95JaFCHOYp ydKC4aRY9Tyc82/9vq//rhZ9kyOfKqsJrbbbxjlPtMgNaTjhW09oXpjSIf2q hWEdNy5TSpDlSce4njr0D0k4R18StmhSN3X56fDslhOz+jWBXRFp08TT4Qwz JWrrICzwH7zQcU2HAZm4ZF4XwfJU0JT9tA7Nl5XhXV8IFlYzu15Y6XHLi+da 3ks4fDWhxcVVjwP33Z/6DBIcF9fXFQr0WBOWn7TwB6HyzJHZgTQ9jK0Z7+ER QlROuF1YqR7PEz+8vTQ61xP8tkY2okf+hq3iwAnCH4eik7z5DM4P3wlyorn/ nBLyTmxkEFBgskyhIKjtY3nCUAZrA04PvfpLqIldLrlzhYGJ0eeKXCWhry5j aXYLg++NXjF8DcHn49LjaSoG0pjyjR56wnSZ9se0rwEFjpYzBgNhR6eZsJAx 4B/Qk3bv "]]}, Annotation[#, "Charting`Private`Tag$2603242#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwV0f9T0wUcx/E55WZqfDE1zkAYZjUK4hYBd3K8SmyWbCpflDI7Fl8MCCkR LzynSadGQGxcBCKTPBEamASKMGiJIEjDTSW+uEwRp5ES+7zD87PvX7Ifnvf4 A5789M+SsrgcDifqaf+rSxT4b1MzOKVM7jDcZKEL94q0dTOormyTrB5m8UHw p84DGgaHuntE6iEW034jA9xeBku1/ca3tCwK5kd/+3UfA4tqOOyEjoXniXLr kgEG+RfGO14YYVE+zV1VeYVBe5Gy5ZMJFv6G7OnlWgaR3D9Pb7nNolF7rfX4 VQb84ui/uowshL9EfhF0jcFjkW9hySMWCfWchYJRBttdFc+HWVkY5DtvnB1n UKUtSjB5WGQW644JDQycCp2PiWfGwcxjgtg7DMS/CrKq/c1oC41I2Pw3g1lF fm9orBkrutIq9joYFKonRWWlZjSoBrfZXQwM+nM+piozIo6/GvQlh+BdkNG8 6wcz3jtg+bnEiyDds1iq7TBDFi8fqfMhnNF5yqamzDBev7isfzUhZUb6hjTO grMPA+u8xYSr9s7Ph72tKDlxRDq5iVApXh+4d5UVmUmmNa2JBEZWOrMh3IoA jaZNkkpg9bk52ZusKJV/eKU8nbAj3TWoUliRHVU7t2gfoXYlK54NtGH9P5yu W/sJOx8UhskibAg6mS1rOUhYEbB/Mj7eholnYngbDxOKpQ9mDuXY8M6diYBv 5IRh36Ixo9qGkMPL3uU1EYQhUddjs+xwx8ievaki/GafqxDJ7PjDdP/3pjOE MaG5uf07OxSp5z8StRM6F26ovXjZDk9o0p4jGsL70RO7NwscuHW3O2ZrLyFL HyxxxzvQWcV3v9hPuJeS2f92mgP57n9LBoYIgwU7jK01DtwekdfPHyWkfRWQ VO7nhPqoJWN0nKB87dQlkdCJqrVpggYDYZ4jr2V5ihMJjeEd6yYJfhublHl1 Try0vXrf0nsExQ1X87o+J7g+7jjjfcJPqedz9A+d6CnSa4sfEUIe73ouMM6F 6rA35YmzBJ73x2tUeS7sNipT+ESQBHduKat3QVyzYOXcHMHrpOL7xjEXXhHn 3b30hNBzWciT+LqxYN7YaYWFkCz8UdCX7MbUhbW5UjuBv2RIltHghia34fUI F4H78lFZ8SIPaoIWsx7P07/J5+qC3R78B1d70fg= "]]}, Annotation[#, "Charting`Private`Tag$2603242#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwBEQLu/SFib1JlAgAAACAAAAACAAAAmjgySjlc7z+PZTTU1Qn5P9MljDvt XO8/vjKyiu8V+T+u2vMAvV/vP95HdgJiM/k/io9bxoxi7z/aVW1R9kv5P2g2 mfEKee8/KK1dkhv2+T9E6wC32nvvP/56c+6ACvo/H6BofKp+7z8VQLIJ3x76 P9YJOAdKhO8/nR4ol5xH+j9F3dYciY/vP9xo7N2cmfo/IoQUSAem7z+o+fq6 3kL7P/44fA3XqO8/xEj7msdY+z/Z7ePSpqvvP7cWUnjnbvs/kFezXUax7z/N BjXu3Jv7P/8qUnOFvO8/lnoWVyX5+z/a37k4Vb/vP1cr87FLEfw/tpQh/iTC 7z+Y6A9S1Cn8P27+8IjEx+8/0v1l6ixc/D/c0Y+eA9PvP0XyxfMbx/w/uIb3 Y9PV7z9MiQFZcuP8P5Q7Xymj2O8/oiK1Q5AA/T9LpS60Qt7vPw2+IaKDPf0/ JlqWeRLh7z+ocKIzll39PwIP/j7i4+8/d9Tgze1+/T+6eM3JgenvP8/6oJFK xv0/li01j1Hs7z+NHyv76uz9P3HinFQh7+8//I8OGRkW/j9MlwQa8fHvP4Ge dPCDQv4/KExs38D07z8bWRY/OHP+PwQB1KSQ9+8/AvEFqvqp/j/gtTtqYPrv P1woW1w+6v4/vGqjLzD97z/45wYk7Tz/P5cfC/X//+8/q3HZwoT+/z/Fhhcl "]]}, Annotation[#, "Charting`Private`Tag$2603289#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwViX0s1AEch8/bSmots2mtTSfXYpGa7GT5LEkmVuzM5t01RyRdpJSs8lJe 1mF2QvMyLyuZobyOsVhNWPIeznlZekFfF43f7+5+l/549uzZwxfH+Ubo83g8 wQ7/XSw87ekURJhxFW6EGDAYFeQ4r+10u+rPi3zdNuqnN3hdoYTfJnXmD3d+ lizwQ46YUN6e65Sxl4HErTc7KIIgTUmS3DFn4MrY+JyIIsQmlo1nHWXAiNmZ gVhCjMh2zciFwZi5uKLkFiG1N2DZyotBw2C/JCae4OJnvdAdwCDKsUi1J4nQ VyGtOpfEwG2F1zr9gPCrwe77gUwGFuVRybUpBONh0ZULRQwmjIW7PNMIj+ZK PzV2MLiomDicKSOcklwPl+uxsEwz89hVQ1g4WN03UsaCEybvm3xFUOavJLg3 s/i6tjRS84bAv108aznAItf/bbB7I6F1fnhQsM1CZ+Mbn95JEFt72yj91ZhW tgv9ugl1r+9L+FI1Wgr4nNV7Qnok85nNUuMmt/6s7yNBPy71UlGPGrNfZKUG owRs13YqHDRoy9i6NjpOeO7h3WQn0qDAOdS6coqw+6pKkJegweVqu3euc4SV oRaFXrsGxwLkSaYLBFtNdGqgQgP9/ZzL4hJhfdUsMdxAi457Q/2PfxLsFNuO 6X5ayG3PyHxWCZuJU9/ET7SQLr4U8YngO9nGS23SwqvQ8JBKRXCI/5HVtazF ca8byp5NQkhmqzL4CAdDvbGq3C3C2btR0rxwDvPNztFhLCH6fFikvJ5DZ3Tl SXst4WlJRXaIqQ6FFiZ/dTqCKemM7Dkd/gG4t0LD "]]}, Annotation[#, "Charting`Private`Tag$2603289#2"]& ]}, {}, {}}, { GraphicsComplexBox[CompressedData[" 1:eJzt0/1TEgYcx3FUfCgcZt6w7NBMrcvc5pkDa6uvXphpZWa5cjPaip7oLDLL zc0zPL0e0E4Ne9LUrLtdMiEXUJ3a15TyIk4jy7QYChIioqKGohis7ff+A3/4 3Ps+f8ArcN/x5APOBAKB9Wn/NeGAQdk8mLK+LIBkcTgcyPW4t+L8Yj647Ff+ VbXHgbtTb4rMY7fhgZv2uGutHUkOblqcvwjK3VNLJu0fMWT7iKGVJ4Y2Sg/b b+dHzGpfA1c/PARZImkl7cos+oq91U5OCCVOTZ6X+m0o1W5QdHzfAn8kqmbp VBu2sG8sSTXJoLRROPvwhxm0LF/nVZfeBs/4eCr8+jQ6TwsWLAmRg/mbSo6L 3Io0x8/SHUIFcBb9pPEnWlGRH9n+NLQDeP4nqnD9FAYUD03fGXkB3da9+lbW JA5N9apfh7+E+Y+fT0nKLHjb2CAnX+yE2D5Zzrf1H5BM/XNUp3sFv46FetQr JrDwiORgdXAXKNOcWTgxjpPRAt3h3DfAYR8dCCOOY2aETExp7YblndLSk0vH sFco4ykD30L4k7xLlBAz2tivyldmv4M4LJlwJI/gqhh3+8EGFXyR+oTekGnC uJrAQ/W+ahAVXm5bzTJiFnXvMk1aL5xiCaOI6QYMM6WQ3mztA89f5pdGn9aj j5fZQzbTB25ns/5WxOuQiOWioAoNRMq/OyOla/FoZEPPvM1aqCC1a4Q9vSiI 31f9aFILqpAN+WR4h5YhvwX6y/3AeFDzpfFtF0p2xLnwGTqI+vE1J8imxNxN BVVivQ6sxZXW/bfkGPhPQvetgvcQne0r8dv4GNfS8/mLI/TQTIsKsjEFmObf Me3U+ekz4rMoidfAIi/ScrgDYNZnP60TNMJVIjMzOdgA1nj7uiS/Z+CjltQ4 ywzgKfparCO8BNcc7s41Jwah4vQ8Jn9ZNxDuMEXahUa4G0GLVVDUkHFdVLSw xQh2O12az9ZC06pzHt7HhqB5ReuuGP178E7ICMsjm2CGVzmhTBkE1VcvOn9r NIGPRnJhW9Iw3K2EYB1zGJIjinPGa82wR0TzptqHQfmIl7SraxzOFNzkqmpH IOPa/dyTZy1QZ6CWk7eMApHhOvB7tRWu/O9gFEILmxi77Q6Y8zHnY87H5338 C7iSW4c= "], {}], {}, {}}, {{}, { {GrayLevel[0], AbsolutePointSize[6], AbsoluteThickness[1.6], GeometricTransformationBox[InsetBox[ StyleBox["\<\"\[FilledCircle]\"\>", StripOnInput->False, FontSize->Medium], {0., 0.}], CompressedData[" 1:eJwBRQO6/CFib1JlAwAAADMAAAABAAAAAgAAABMJIB1tsNE/TukvN+/G87/h TZgP6brRPzTt/uojwvO/IlIKwDXa0T+/z36/xrPzv2H2yLDgDdI/YFINneWb 879/vuRvNFXSP2ZQPtuWevO/xpOpAkWv0j+FAPQa+E/zvwvkVX3+GtM/1XSb 2ywc87+r+LPmM5fTP3IYUe9c3/K/Mrze4qwi1D8Lq2juspnyv8S1HiwxvNQ/ 8iKMw1pL8r/pTvZtkWLVP7GP0WCA9PG/aLOchq0U1j/KTMulTpXxv9157Hp4 0dY/MOffd+4t8b/RdgeL+pfXPxFVjwmGvvC/twhu3FFn2D8jtY1KOEfwv4Vx 9yOyPtk/xEq/8kiQ77/eF/GnYx3aP9cS4J3Lgu6/AtG03sEC2z9QoP55Jmbt v7dRp9s57ts/hev9cX467L82RkStSN/cP+owYhvv/+q/Ban2wnnV3T/dHzFd irbpvyZur2hl0N4/9D2sEVhe6L8+kPFfr8/fP1rU4JpV9+a/u/bmzIJp4D86 HmFidYHlv/+TQ4kP7eA/vWJgPJ7847/dCfFmXXLhP1RX1KWqaOK/cI8XeU/5 4T9XYRjUZ8Xgv52uz//LgeI/h1V+FSkl3r9UYKgQvAvjPwpSMVO/n9q/dS/F SguX4z+AGGbCzPnWvyWXZ5WnI+Q/Oty87WMy07+gMtfngLHkP1TXjufTkM6/ 4HjCGYlA5T9NPRIFH3XGv0TAW7uz0OU/gDuS1B8dvL9b0KP09WHmP+feos/v ZaW/AGyFa0b05j80h22AsXOdP3CXnjCdh+c/wKoa1Okcuj9ojNmy8xvoP60Z Ecy2zMY/SQBQukSx6D99/RXfX3jQP/xVbGuMR+k/ID1EWuDB1T+6Q+tTyN7p P/BLu72PSNs/zKxrhPd26j9IcaFNz4ngPye06LoaEOs/p2ewxCiW4z+kKVWl NKrrP7Bjw4N3z+Y/gVC1SEpF7D9YX7dtJj7qP9qoBaNj4ew/fSkmvEvu7T+N dSyzjH7tP8H9H6kx+fA/VoeRQ9cc7j+eiGuqszTzP7GYyVxevO4/eMMZLbfH 9T+NIbIxTl3vP9+i88VX//g/AAAAAAAA8D8AAAAAAAAAQMOevrI= "]]}, {}}, {}, {}, {}, {}}, {{{}, {}, TagBox[ {GrayLevel[0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkns41GkDhoWSStTqQPUpp2wRFmld5RnsptSm1RpWbdpaciyVcuhAkuRU qxVlU2ipLV2Rj+jLG2qdmRlDzscxzr8Xg8E4fO0fz3X/fd/Xs+XkWTsXaSkp Ke8v+5fBNhJd79dcWKSM6tJ/RIT1plxaKZuLBzf7auM+isjChocNWblc1AWY eu0uEpFrw7tCpwq4YFnzfW6/F5Erdy8136jiwo1VWqaeLSJ+9aO3Hw5wEZMT 89YuWUTOnOwTlmjysNL664D0yyLyS2DdE/UHPHQUdSzSNBCRQ7s4X3nG1UJj 39HhuMgxksxpeywJ5mNl2b1bnSOjJJbvtHv4dB2SnfVtdjiOknhX8edzJ+sh 0/JoOTtzhMzz0qPMD37GUE3x0gvKIySgyp+VtL8BIbdDrPV4DIk1ypV1tmzE Miur/7VfGyYKvvJdp7c14eWmn6+/wxD50/JKgYx2M4a45tHpXQMkelA6u1ep BeGvPJQ5D/rJRilxnq64BU+bT5lG/NRHSMpyIjvaiqxqh0LTESH5qGbcqtnU hg+BWzkuT3pI67arM5/r2+HTeN8lxkBAyjgqypdOdyDf8qLYubiL2E9fM9Vs 7gBnMvTArEcnGXTzbUp07MSJVF6uVlc7yfokup1b1QljM76i9PpWcsNdJu/P g13YZ18/ZLS0iWgU7/f5pqwLskN+cxJJPRmXVzX22tONWXVW+CJVPqmJD/Q7 +64bXmnzt/QZDmle7VKy1lAAjveYQLWxguRYhT0+81QAnQcWg5Utn0jiO1Px nS09MKj5GO9xs4Bkbr5w1P5+D5TY4waOkkzCrTSHQFmI4ANrAnSi7pIPOyxe aPwuxImeZdZafqnouFqlIbe4F8GLFUVlNAfLlAc2ZIf0gtWn4LGrrAgu8Xc3 L57qRam8fal5SRnucLwzlnj2gb8QnqXmykHx4eY8bm8fErjrM2Rs+dAp4PFY x/rBanr+MkOxAfHnnTwDmvoR3k/6UyxaYKrspcQ+PID764ot2Vs7kOaZvae7 eACuoReqS0y6oLYseuBbi0FEvHN2EdwSoCyOphrnDMJXQW/kWIUQV926WqaM h5B1qGKDg3M/pEaXJ3lnDmE3Ux26ZeUQsl2JZ5jWMFTUN/o75TE4ryGT55Y6 jHGpKeHVoRH8WsVZTdczYNnsaNgUNgY1vbpxrSgG5n+pfWJbjyM/6OikSgyD 5pmLRwJtx8HmdYoV7jKYtbJfkeowjig/ZmbiHoNzM0o6sm7jmCqUW/RPIoMx abNdS26Pg8s2U3B9waCtKrHwq8px3Ah+rJVWziB8fwLJYE/gP7VaWx9WMjB7 eBgxzhPI13qpE1PN4I2m9+8X3SYwUv52+yUeA6fj+0YcAydwbA3PcG8Tg2d/ INg3aQImf8uaC/sZSGn7blHsm0BvrTtbW56Ca/z2pOv1Sew8pN43tYwiL8Az MiliEmGlTQEVKyjGcmMV2u9NQvv9gUc+ShQtZxSDAtIm4ZqmJ8hfR1Etyqlf WzkJof/oOVttigIV98XLVcQQbAqI9reiqC+N687JF8M4wVDtwPcUah4ZjUaf xAhdPfB6kzVFfpv+8fc1YmjKHeUX2VB4XHDkTQrEODWye4OCHUXSX76DS5Wm 0FUk9Tz5BMVZo6UxTW5T6Dgd/rH8KsUUXbVk7dZpFNxhP6gNovA6Eti11mQa ibmaZ1quUyQPLbIyspoGW65wHXOTwr1c/7tC52lUpU17rIqhCPNvqt37cBr5 PR6rHJO++Lcb+eavmUGCwrfCE08oQqJ31NRrzeCSidw79xSKWE5p+6adMzC8 mfrb5TSKbzIPcgwdZvBMsyU36RXFtng/30eJM4g79cPxngIKO12VxXv1JTgf ucGI+UDhH5nAH7GU4PCbfjlxEcVbv7rfBtkSrJAJy1xaQrFX9cmujiAJQlIK ZHVrKFr7nyvZ1Utwojyq0ZhLIfz+aZb0sATmY06v9tRSZDSUfm0gO4tpC7GD 7WcKg7DgdVrGs/Dp1H9xvp3C3Mjyh/8mzuKQ/HzQ5U4K1yWRvFu5s9huWPlT aDeFQv1CjDV/FsJgt/m43i9/uOlwQaI0h4/PdtYm9VM47i5iGRvOIYUj+yx9 kGL4yB5Wr90cftmc/GMepchuzFiRkzgHs31ntYtGKVhWf1wJLp7Dep89knIR xa/CixU7mTlMxi/n1E5Q6L2Off9o4zz4pPFpi5jib7Off+y2nUdWb3pAz/SX XtGqApmIedxRvHSIkVBURUW8aqueh5fpdxriOYo2keD5eZ0F2DivnlpYoNjO MwlymF/A/wGmRar8 "]]}, Annotation[#, "Charting`Private`Tag$2603421#1"]& ], TagBox[ {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], LineBox[CompressedData[" 1:eJwVkGtU03Uch0FABDUnTEVEUUHqoGgq54DV/E5TQwMETMILUpQwmSCh4RVE UfKCDj0hgoYKHjhmndxcjInuC15aQ3bYBnId98tgyP4N6PffnejFcz7nefF5 8yyLPxJ1cJqdnV3YFP9v1g7zquQnSpCyg9d8zLQh+2ntNIZQCXzNG47e3YaT i4paBCIleKZ/nS+Y8szR4AsGiRLGGTnSwCk/k5feni1XwnPBnLxgNxseb9Jf LtIqIeTTv/kshg1T4ocGpb4qUEckBW2cZcPYU+/uLy9UwSbJthAPRxuGByvc ufkNwIiy73qmt+IDRec9c1YjTOTHMCq7rHizce9no4nvwGNLQShbbsWCBLr5 h/gmCGMfitxZaUWbqjx3Y2gzDK2WXhwuteJJ+Ql28fYWYG71HOrKnfqvFznG bW6F5H1jpp0/WnH2MZfeRP820J6pYWQcsOLdzWckDn7twDoaXqfYYsVrI9OE GoYaYq8slplWWtHLjhavotXAPXFlXOFmRSyZiY76DtjlXbWkkFjwtXdgh29b J+SwjOs47Rbs8M8wNTd1QWt1WLf1uQVlioXM9MRukCSd5QUUW3C3MTPIt70b HH49sOxWlgVHOMfa7sT0gNSDXL0eZ0HBm/HLInkPeIcVLG4FC2YfchDfDe2F Trnsw5+8LOjzanvqOlkvXMka+6DbYMYJF8/Aw6w+eGSqufGiyYz1BaeOH6nq A9G8YM5fT8zY7nZQOn9tP9xseRiZnGvGis9z7qU87IcRd3fnsUQz3qkKonnL BuCtmzAvCczIX3p03+5bAxCvriwVeJhRWbcR+pmDgGUpoupRE1av3vTY58Yg XIpcGHL7pQm7M+Q+zk4aaJzctjut0ISuTO0i4XkN1AZPzG/hmvBgQd5SJ4MG Xss30HvYJuQpkn+fzh2Ckkrb7RamCV9FtIuVmiHgD+9nPuo34kcSlYq9fxic tmZKpRVGLEjbyz3ZNgzI52fOuGDEIOZhRnSEFoT1cXv5u4xYxhWy+l5pYca/ diUJPkb0dr2m3bBpBCau1dTY6wwoy6dKAytGYD97TB9UZcAMTq/aEPgevMS8 1cuzDWinn1mczH8PrAl7T/svDShMQG7OilEYz43HP+YZMM3HQcwpHYVjRf57 VG00fitXuFEeOkhzkpPOEhq9A95NrMjVgcyW2czk0qhpOBTt50LBzATvc5kB NHYnXnpdm0FBnep+6PRxghJedGHDWQoWZ793mNQTvCPyTVGfo4CfVF9O/0Mw 2rlmge4iBZ6RMX8O6QjKy4xJc69TcJv3vUamJfhsIGluTDEFxKu57FIvwfzv wg4MSCg4MefBdVpJMO3qovW6agomb/3cPKogGPF02Jl+SUHDb66z++sJznLI 4c+QUtAzeJqlkBM8XyJxXFVPwfovvhGWywim9qx5nNZFQSn1izGqhmC4i+3s 6R4KmG+5riHVBFeurfvqQh8F8yv4ziwkOJjFseVrKPBfUCr1e0EwdumDSDFF ATvHJdZYSfCTkCN+L/UU8OIuKkdFBD1SWebacQqibEfX9VYQbMTWh2qagiUD ZeJaIUGBpvzkgJGCba3DXZKnBHlz0sN1ZgoCRu6OCQQEDwdt8aGtUz1SUV/G J7gjzs0wOUnBBozoKHpC8D/jwcYV "]]}, Annotation[#, "Charting`Private`Tag$2603421#2"]& ]}, {}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->Large, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0., 0.9999999795918367}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, {0, 0}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.770355872261179*^9, 3.770355994213119*^9, {3.770356161299719*^9, 3.770356183198484*^9}, 3.7703635086693563`*^9, 3.77036373241635*^9, { 3.7703638637380342`*^9, 3.770363893668839*^9}, 3.770363996094578*^9, { 3.770364077708891*^9, 3.77036410334166*^9}, 3.770364144615231*^9, { 3.770364185121153*^9, 3.7703641909484863`*^9}, {3.770364225664957*^9, 3.770364228595983*^9}, {3.770364298821583*^9, 3.770364302193626*^9}, { 3.7703644022898617`*^9, 3.770364406636064*^9}, 3.7703644624180098`*^9, 3.77036458594361*^9, 3.7703652055238237`*^9, 3.770367475986598*^9, { 3.770367594146365*^9, 3.770367638285632*^9}, {3.770367693396255*^9, 3.770367730109771*^9}, {3.7703678486080093`*^9, 3.770367900570922*^9}, { 3.770368166263565*^9, 3.770368185546075*^9}, {3.770368219388887*^9, 3.770368262115637*^9}, 3.770368350998098*^9, 3.770368527582162*^9, { 3.770368582871828*^9, 3.770368597117581*^9}, {3.770368832838286*^9, 3.770368856432308*^9}, 3.770369274883645*^9, 3.770369417027514*^9, 3.77036958753059*^9, 3.770369628796056*^9, 3.770369714200222*^9, { 3.770370072564649*^9, 3.7703700927857637`*^9}, 3.77037012939207*^9, { 3.7703705190643797`*^9, 3.770370542627182*^9}, {3.7703717179747343`*^9, 3.770371771521769*^9}, 3.770372073603142*^9, 3.770372435467249*^9, 3.770372481111739*^9, {3.77037252674378*^9, 3.770372556988658*^9}, { 3.770372650478367*^9, 3.7703726535834093`*^9}, 3.7703728267858973`*^9, 3.770372886615588*^9}, CellLabel-> "Out[935]=",ExpressionUUID->"2e03b5a5-5f07-449c-a9dd-ef116a2d44c1"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ FractionBox["1", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}]], FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}]], "Input", CellChangeTimes->{{3.770372803130533*^9, 3.7703728069459267`*^9}, { 3.7703728620662203`*^9, 3.770372869793894*^9}}, CellLabel-> "In[934]:=",ExpressionUUID->"d5a29181-6189-48b7-aec6-e63b16eb648a"], Cell[BoxData[ FractionBox[ RowBox[{"5", " ", RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}], " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]], "Output", CellChangeTimes->{{3.770372805179224*^9, 3.770372807405408*^9}, { 3.770372863814337*^9, 3.770372870309092*^9}}, CellLabel-> "Out[934]=",ExpressionUUID->"1c15bc66-d866-4789-8f76-b80c777d3614"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " "}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]], "//", "N"}]], "Input", CellChangeTimes->{{3.770372793024324*^9, 3.770372796466979*^9}}, CellLabel-> "In[928]:=",ExpressionUUID->"5316aac5-4fd9-4320-89d7-71765868d254"], Cell[BoxData["0.14827790731256835`"], "Output", CellChangeTimes->{3.7703727970143833`*^9}, CellLabel-> "Out[928]=",ExpressionUUID->"ebc895ab-fadb-4985-a32e-8fe64e5e51a3"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}]], "Input",ExpressionUUID->"62140f06-94ea-\ 453f-8e7c-40045eaf15d0"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"f", "[", "r_", "]"}], "=", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "//", "Expand"}]}]], "Input", CellChangeTimes->{{3.770373043695044*^9, 3.770373057349721*^9}, 3.770373091620208*^9}, CellLabel-> "In[943]:=",ExpressionUUID->"338ca9ff-fca1-4d88-8f79-92470a3d71f5"], Cell[BoxData[ RowBox[{ RowBox[{"2", " ", "r", " ", "t", " ", "u"}], "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}]}]], "Output", CellChangeTimes->{{3.7703730546863203`*^9, 3.770373057763072*^9}, 3.770373092103426*^9}, CellLabel-> "Out[943]=",ExpressionUUID->"859a8204-bf35-49aa-a37e-36c9e0d53642"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"1", "-", "r"}], ")"}], SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "r", " ", RowBox[{ RowBox[{"f", "'"}], "[", "r", "]"}]}], "//", "Expand"}]], "Input", CellChangeTimes->{{3.770373059378385*^9, 3.7703731286790133`*^9}}, CellLabel-> "In[945]:=",ExpressionUUID->"fe63d5f3-bb86-48c8-b824-ad1330eae32f"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"1", "-", "r"}]]}], " ", "r", " ", "t", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], "+", FractionBox[ RowBox[{ SuperscriptBox["r", "2"], " ", "t", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "+", RowBox[{ SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SuperscriptBox["r", "2"], " ", "t", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], "-", FractionBox[ RowBox[{ SuperscriptBox["r", "3"], " ", "t", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "+", FractionBox[ RowBox[{"r", " ", "t", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], " ", "\[Rho]"}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "-", FractionBox[ RowBox[{ SuperscriptBox["r", "2"], " ", "t", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], " ", "\[Rho]"}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "-", RowBox[{ SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "r", " ", "t", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], "+", FractionBox[ RowBox[{ SuperscriptBox["r", "2"], " ", "t", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "+", RowBox[{ SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SuperscriptBox["r", "2"], " ", "t", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], "-", FractionBox[ RowBox[{ SuperscriptBox["r", "3"], " ", "t", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "+", RowBox[{"2", " ", "r", " ", "t", " ", "u", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], "-", RowBox[{"2", " ", SuperscriptBox["r", "2"], " ", "t", " ", "u", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], "-", FractionBox[ RowBox[{"r", " ", "t", " ", "\[Rho]", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "+", FractionBox[ RowBox[{ SuperscriptBox["r", "2"], " ", "t", " ", "\[Rho]", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]]}]], "Output", CellChangeTimes->{{3.770373062823682*^9, 3.770373129116735*^9}}, CellLabel-> "Out[945]=",ExpressionUUID->"7e8f62cf-6a68-49fe-80cf-8effe9c9fb63"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], ",", "r"}], "]"}]], "Input", CellChangeTimes->{{3.770372133728613*^9, 3.770372136919168*^9}, { 3.7703721797827473`*^9, 3.770372183416602*^9}}, CellLabel-> "In[936]:=",ExpressionUUID->"6f466741-f511-4081-9a04-9a2dd60fcc5d"], Cell[BoxData[ RowBox[{"2", "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}]], "+", FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}]]}], ")"}]}], "+", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]]}]], "Output", CellChangeTimes->{3.770372184009364*^9, 3.770373040122628*^9}, CellLabel-> "Out[936]=",ExpressionUUID->"1b2f4423-1b16-46e8-aee8-a7f6d08683e7"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Series", "[", RowBox[{ RowBox[{"r", "/.", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Series", "[", RowBox[{ RowBox[{"2", "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}]], "+", FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}]]}], ")"}]}], "+", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "2"}], "}"}]}], "]"}], "\[Equal]", "0"}], "//", "Normal"}], ",", "r"}], "]"}]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "2"}], "}"}]}], "]"}], "//", "Last"}]], "Input", CellChangeTimes->{{3.770372157223114*^9, 3.770372190018989*^9}, { 3.770372236495417*^9, 3.770372286495523*^9}, {3.770372323161824*^9, 3.770372331307181*^9}, {3.77037239346554*^9, 3.770372402421762*^9}, { 3.770372686009503*^9, 3.770372772769168*^9}}, CellLabel-> "In[927]:=",ExpressionUUID->"e488845a-7957-4e46-ba65-20ac373a4bf2"], Cell[BoxData[ InterpretationBox[ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]], "+", InterpretationBox[ SuperscriptBox[ RowBox[{"O", "[", "\[Rho]", "]"}], "3"], SeriesData[$CellContext`\[Rho], 0, {}, 0, 3, 1], Editable->False]}], SeriesData[$CellContext`\[Rho], 0, { Rational[1, 10] (5 + 5^Rational[1, 2]), 0, Rational[1, 4] ((7 + 5 5^Rational[1, 2])/(15 + 7 5^Rational[1, 2]))}, 0, 3, 1], Editable->False]], "Output", CellChangeTimes->{{3.770372163632841*^9, 3.770372190827243*^9}, { 3.77037225824677*^9, 3.77037228735636*^9}, 3.770372332104518*^9, { 3.770372400049357*^9, 3.770372402814777*^9}, {3.770372674688751*^9, 3.7703727736927032`*^9}}, CellLabel-> "Out[927]=",ExpressionUUID->"a5220683-1227-4444-8df6-f4c8e00fbfdc"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Table", "[", RowBox[{ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "3"}], "]"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0.", ",", "1.", ",", "0.1"}], "}"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.7703724655671167`*^9, 3.7703725172153597`*^9}}, CellLabel-> "In[908]:=",ExpressionUUID->"57f5972b-e964-4d0c-a21b-a8b95aef209a"], Cell[BoxData[ RowBox[{"{", RowBox[{"0.`", ",", RowBox[{ RowBox[{"-", "0.010138570697409439`"}], "-", RowBox[{"0.0638015462131851`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.029971145273932232`"}], "-", RowBox[{"0.12224553921090692`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.052414259465787046`"}], "-", RowBox[{"0.17437096906776628`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.07500586125726076`"}], "-", RowBox[{"0.2220549700163288`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.0970404189569588`"}], "-", RowBox[{"0.2666783657114028`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.11834229827440614`"}], "-", RowBox[{"0.30910276135574755`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.13889995164254246`"}], "-", RowBox[{"0.34987819833622863`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.15875318988887072`"}], "-", RowBox[{"0.3893727997370772`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.17795558875594755`"}], "-", RowBox[{"0.42784425801144627`", " ", "\[ImaginaryI]"}]}], ",", RowBox[{ RowBox[{"-", "0.19656138396272363`"}], "-", RowBox[{"0.4654800046080476`", " ", "\[ImaginaryI]"}]}]}], "}"}]], "Output", CellChangeTimes->{{3.7703724680780077`*^9, 3.7703725176328573`*^9}}, CellLabel-> "Out[908]=",ExpressionUUID->"e935e104-a629-4e83-a349-206999d05dde"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", "]"}]], "Input", CellChangeTimes->{{3.770372445669264*^9, 3.770372462624144*^9}},ExpressionUUID->"ec4dc4c4-ce1b-4a01-bc01-\ 4e855b843196"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJwBMQPO/CFib1JlAgAAADIAAAACAAAASmXo0cDpVT5Lo3+Wel9hPYEIsyeJ GZQ/hMvUYvkENT9YWaGv8PGkP4HMM1MUj0o/C/+BXEcerz8naP/yOyJVPyVR 7ujDi7Q/QE2zfZ2wXD93zjk/mPS5P7suJ2VCPGI/F7QR3gEBvz8sKtqRzZpl P7biQ8zPPMI/oPsPlnDtaD/Cap0bWezEP6WQHOf01Gs/9SY9D61txz9Z7CFk jzVuPwL5qxAbJco/5jcYork1cD82/2C2U67MP4ni8em0EXE/zIQ0zsYqzz9F P4uCZsBxPx+Q6/mp7tA/suGkBu9Qcj/r99/e1TDSP6x9HXKdrnI/pOq7yg6O 0z9phBfgsOhyPw4dp+/k5NQ/NrRci1b3cj+MabVmoCTWP5oA3mW74HI/9kCr 5Gh/1z9F0l3nb6JyP3QyxLQWw9g/O8BuIYhGcj/frsSL0SHaP+33uwgbwHE/ +2rUmyl62z9rlQT/3RpxPytBB/5mu9w/oboEyMdkcD9HoiFnsRfeP2XItD2f BW8/dx1fIuFc3z88ALuxhS1tPyzsVQvXTeA/kXd2+eIyaz8TD/AIxPrgP0/G dvSy32g/BL+bryOc4T+SKjQPrYxmP2s0u9kJS+I/IVLLZBLgYz+rSWKgvvbi P79m7fwmG2E/9esaEOaW4z95fHIW4s9cP7VTRwOUROQ/gznq8VK5Vj9/SIWf tObkP2Hr7rT911A/Id1K2KOF5T/wRU1SltNFPzo3hJQZMuY/IXjAU3Q/MT9c Hs/5AdPmP69qt9oMxB+/9cqN4nCB5z9aE35FO+NBv5gEXnRSJOg/tXZXUeUY T78T3rWiAsToP2jX67oYHFa/BX2BVDlx6T9enVllnE5dvwCpXq/iEuo/hxj7 fgYLYr9ymq+NEsLqP0q+oxkVvmW/vSuICBFu6z/CCR9a6WRpvxFKciyCDuw/ qCQ7RfLPbL/cLdDTebzsPxNrO+o8Q3C/sJ4/JORe7T+aU8R7Fv9xv12vNhEd /u0/vb6jlMKxc7+AhaGB3KruP1+PBbo7iHW/regdmw5M7z9KJmeppT13v5cf C/X//+8/U7RQHoEjeb+E+4wp "], {}], {}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 1}, {0., 1.}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.7703724512152357`*^9}, CellLabel-> "Out[899]=",ExpressionUUID->"af8d6f41-aa72-4ca8-8828-01f86c631c73"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"2", "-", FractionBox[ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]]}], SqrtBox["r"]], "+", FractionBox[ RowBox[{"2", " ", SqrtBox["r"]}], SqrtBox[ RowBox[{"1", "-", "r"}]]]}], ")"}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "3"}], "+", RowBox[{"2", " ", "r"}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SuperscriptBox["r", RowBox[{"5", "/", "2"}]]}]]}], "\[Equal]", "0"}], ",", "r"}], "]"}]], "Input", CellChangeTimes->{{3.770372171002899*^9, 3.770372200905469*^9}, { 3.770372293532527*^9, 3.7703722978504963`*^9}}, CellLabel-> "In[897]:=",ExpressionUUID->"0e274ecd-7be2-4c5f-a446-15ef62349302"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "1"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "2"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "3"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "4"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "5"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "6"}], "]"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.7703722984422417`*^9, 3.770372415903677*^9}, CellLabel-> "Out[897]=",ExpressionUUID->"47c435ec-7727-426f-a512-1e2aa72963e9"] }, Open ]], Cell[BoxData[ RowBox[{"Series", "[", RowBox[{ RowBox[{ RowBox[{"2", " ", "t", " ", "u"}], "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}]], "+", FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}]]}], ")"}]}], "+", FractionBox[ RowBox[{"t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], ")"}]}], SqrtBox[ RowBox[{"1", "-", "r"}]]]}], ",", RowBox[{"{", "}"}]}]}]], "Input", CellChangeTimes->{{3.770372141424664*^9, 3.770372146585616*^9}},ExpressionUUID->"32554c2d-fb03-4463-8608-\ b256f3b2f7b4"], Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ","}]}]}]}]], "Input", CellChangeTimes->{{3.770371819439808*^9, 3.7703718264439898`*^9}},ExpressionUUID->"ef317173-a93c-4515-888b-\ 355e6c153567"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"f", "[", "r_", "]"}], "=", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"f", "'"}], "[", "r", "]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"f", "''"}], "[", "r", "]"}]}], "Input", CellChangeTimes->{{3.770370800179674*^9, 3.770370832544985*^9}, { 3.7703708839078093`*^9, 3.770370887480035*^9}, {3.770371126371628*^9, 3.7703711269973593`*^9}}, CellLabel-> "In[848]:=",ExpressionUUID->"c193faf0-94d0-4cd1-9eda-1bd600a0e769"], Cell[BoxData[ RowBox[{ RowBox[{"2", " ", "r"}], "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], ")"}]}]}]], "Output", CellChangeTimes->{{3.770370824982334*^9, 3.77037083293252*^9}, 3.770370888023937*^9, 3.770371128275324*^9}, CellLabel-> "Out[848]=",ExpressionUUID->"cd3d21c6-2a42-425f-b2e5-160086740462"], Cell[BoxData[ RowBox[{"2", "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}]], "+", FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}]]}], ")"}]}], "+", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], SqrtBox[ RowBox[{"1", "-", "r"}]]]}]], "Output", CellChangeTimes->{{3.770370824982334*^9, 3.77037083293252*^9}, 3.770370888023937*^9, 3.7703711282934*^9}, CellLabel-> "Out[849]=",ExpressionUUID->"800d6aeb-7c13-45b5-b7b7-81652fa8cbf0"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["1", RowBox[{"4", " ", SuperscriptBox[ RowBox[{"(", RowBox[{"r", "-", "\[Rho]"}], ")"}], RowBox[{"3", "/", "2"}]]}]]}], "-", FractionBox["1", RowBox[{"4", " ", SuperscriptBox[ RowBox[{"(", RowBox[{"r", "+", "\[Rho]"}], ")"}], RowBox[{"3", "/", "2"}]]}]]}], ")"}]}], "+", FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{ FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}]], "+", FractionBox["1", RowBox[{"2", " ", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}]]}], ")"}]}], SqrtBox[ RowBox[{"1", "-", "r"}]]], "+", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]]}], RowBox[{"2", " ", SuperscriptBox[ RowBox[{"(", RowBox[{"1", "-", "r"}], ")"}], RowBox[{"3", "/", "2"}]]}]]}]], "Output", CellChangeTimes->{{3.770370824982334*^9, 3.77037083293252*^9}, 3.770370888023937*^9, 3.77037112830396*^9}, CellLabel-> "Out[850]=",ExpressionUUID->"ac116342-cd9d-4dfb-b07d-b3de0a85ae72"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Series", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", "t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"t", "\[Rule]", "1"}]}], "}"}]}], ",", RowBox[{"{", RowBox[{"r", ",", RowBox[{"1", "-", SqrtBox["5"]}], ",", "2"}], "}"}]}], "]"}], "//", "Normal"}]], "Input",\ CellChangeTimes->{ 3.770370291699477*^9, 3.770370335855857*^9, {3.770370402321209*^9, 3.7703704044131613`*^9}, 3.770371884358925*^9, {3.770371932555735*^9, 3.770371984831217*^9}},ExpressionUUID->"f277dfe0-f680-4763-a97e-\ 19a93db5f220"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SqrtBox["5"], "+", "r"}], ")"}], " ", RowBox[{"(", RowBox[{"2", "-", FractionBox[ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "-", "\[Rho]"}]]], "+", FractionBox[ SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "-", "\[Rho]"}]], SuperscriptBox["5", RowBox[{"1", "/", "4"}]]], "-", FractionBox[ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "+", "\[Rho]"}]]], "+", FractionBox[ SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "+", "\[Rho]"}]], SuperscriptBox["5", RowBox[{"1", "/", "4"}]]]}], ")"}]}], "-", RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SqrtBox["5"], "+", RowBox[{ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], " ", SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "-", "\[Rho]"}]]}], "+", RowBox[{ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], " ", SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "+", "\[Rho]"}]]}]}], ")"}]}]}]], "Output", CellChangeTimes->{{3.770370284460053*^9, 3.770370292098475*^9}, 3.7703703364114523`*^9, 3.7703703720263863`*^9, {3.770370402684472*^9, 3.7703704048327417`*^9}, {3.770371934804008*^9, 3.770371955806089*^9}}, CellLabel-> "Out[875]=",ExpressionUUID->"74342588-c622-4cfb-827a-10d844565241"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SqrtBox["5"], "+", "r"}], ")"}], " ", RowBox[{"(", RowBox[{"2", "-", FractionBox[ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "-", "\[Rho]"}]]], "+", FractionBox[ SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "-", "\[Rho]"}]], SuperscriptBox["5", RowBox[{"1", "/", "4"}]]], "-", FractionBox[ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "+", "\[Rho]"}]]], "+", FractionBox[ SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "+", "\[Rho]"}]], SuperscriptBox["5", RowBox[{"1", "/", "4"}]]]}], ")"}]}], "-", RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SqrtBox["5"], "+", RowBox[{ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], " ", SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "-", "\[Rho]"}]]}], "+", RowBox[{ SuperscriptBox["5", RowBox[{"1", "/", "4"}]], " ", SqrtBox[ RowBox[{"1", "-", SqrtBox["5"], "+", "\[Rho]"}]]}]}], ")"}]}]}], ",", "\[Rho]"}], "]"}]], "Input", CellChangeTimes->{{3.7703719416495*^9, 3.770371973097464*^9}}, CellLabel-> "In[877]:=",ExpressionUUID->"af9ece52-2500-49fb-9df7-883bcfdce94a"], Cell[BoxData["$Aborted"], "Output", CellChangeTimes->{3.770371969988421*^9, 3.7703720222353983`*^9}, CellLabel-> "Out[877]=",ExpressionUUID->"be226551-d155-492c-bf44-cf108ab0cd41"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SqrtBox["r"]}], "+", RowBox[{"2", " ", "r"}], "+", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"2", " ", SuperscriptBox["r", RowBox[{"3", "/", "2"}]]}]]}], ",", "r"}], "]"}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.7703704236892023`*^9, 3.770370429489294*^9}, { 3.770371880443901*^9, 3.770371882157949*^9}},ExpressionUUID->"99d196b2-3d3c-4a9e-96ed-\ 113f822e9319"], Cell[BoxData[ FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"2", " ", "r", " ", RowBox[{"(", RowBox[{ RowBox[{"4", " ", "r", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", "r"}], "+", SqrtBox[ RowBox[{ RowBox[{"-", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", "r"}], ")"}]}], " ", "r"}]]}], ")"}]}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], RowBox[{"4", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SuperscriptBox["r", RowBox[{"5", "/", "2"}]]}]]], "Output", CellChangeTimes->{3.7703704301441793`*^9}, CellLabel-> "Out[814]=",ExpressionUUID->"ecc8b661-e581-49d9-a5dc-db2baae562ba"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"2", " ", "r", " ", RowBox[{"(", RowBox[{ RowBox[{"4", " ", "r", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", "r"}], "+", SqrtBox[ RowBox[{ RowBox[{"-", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", "r"}], ")"}]}], " ", "r"}]]}], ")"}]}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "\[Equal]", "0"}], ",", "r"}], "]"}], "//", "RootReduce"}]], "Input", CellChangeTimes->{{3.770368909999619*^9, 3.7703689286409903`*^9}, { 3.7703698917965517`*^9, 3.7703699433774023`*^9}, {3.770369990064557*^9, 3.770370020763137*^9}, {3.770370140925076*^9, 3.770370195274397*^9}, { 3.770370227703664*^9, 3.770370312097769*^9}, {3.770370377276308*^9, 3.7703704482101593`*^9}}, CellLabel-> "In[815]:=",ExpressionUUID->"0a7f6615-5565-4dcc-a13f-9fc3468c4587"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "1"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "2"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "3"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "4"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "5"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"9", " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"48", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "-", RowBox[{"128", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"64", "+", RowBox[{"64", " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "-", RowBox[{"320", " ", SuperscriptBox["#1", "5"]}], "+", RowBox[{"320", " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "6"}], "]"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770368915647943*^9, 3.770368928964561*^9}, { 3.770369889430805*^9, 3.770369934684569*^9}, {3.770369991069962*^9, 3.770370021300021*^9}, {3.770370157401001*^9, 3.770370196577239*^9}, { 3.770370246420699*^9, 3.770370312607994*^9}, {3.770370379332292*^9, 3.770370448556443*^9}}, CellLabel-> "Out[815]=",ExpressionUUID->"8ea8bf40-635f-489e-b13b-64c91af70974"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Series", "[", RowBox[{ RowBox[{ RowBox[{"r", "/.", RowBox[{"Solve", "[", " ", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "3"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"2", " ", "r", " ", RowBox[{"(", RowBox[{ RowBox[{"4", " ", "r", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", "r"}], "+", SqrtBox[ RowBox[{ RowBox[{"-", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", "r"}], ")"}]}], " ", "r"}]]}], ")"}]}], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], "\[Equal]", "0"}], ",", "r"}], "]"}]}], "//", "Last"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "2"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.7703691084425087`*^9, 3.77036911873083*^9}, { 3.77037045828475*^9, 3.770370506997445*^9}}, CellLabel-> "In[819]:=",ExpressionUUID->"864182ee-48c8-4d12-a5f4-5709700f5227"], Cell[BoxData[ InterpretationBox[ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]], "+", InterpretationBox[ SuperscriptBox[ RowBox[{"O", "[", "\[Rho]", "]"}], "3"], SeriesData[$CellContext`\[Rho], 0, {}, 0, 3, 1], Editable->False]}], SeriesData[$CellContext`\[Rho], 0, { Rational[1, 10] (5 + 5^Rational[1, 2]), 0, Rational[1, 4] ((7 + 5 5^Rational[1, 2])/(15 + 7 5^Rational[1, 2]))}, 0, 3, 1], Editable->False]], "Output", CellChangeTimes->{{3.770369112043393*^9, 3.770369119042398*^9}, { 3.7703704619534807`*^9, 3.770370507673958*^9}}, CellLabel-> "Out[819]=",ExpressionUUID->"4ea179ab-7c92-4ce2-b7a2-b22b96779953"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", "0"}]}], "}"}]}], ",", "r"}], "]"}], "//", "RootReduce"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", "1"}]}], "}"}]}], ",", "r"}], "]"}], "//", "RootReduce"}]}], "Input", CellChangeTimes->{{3.770356014866179*^9, 3.770356017001772*^9}, { 3.770356062978519*^9, 3.77035606372746*^9}, {3.770356219162531*^9, 3.7703562218192673`*^9}, {3.7703563329563303`*^9, 3.770356364983839*^9}, { 3.770360760637063*^9, 3.77036079364745*^9}}, CellLabel-> "In[427]:=",ExpressionUUID->"5540ae46-0bbd-42b2-a8c9-71e8a5d30686"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"1", "-", SqrtBox["5"]}], ",", RowBox[{"{", RowBox[{"r", "\[Rule]", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.77035606489177*^9, 3.770356065483933*^9}, 3.770356278919186*^9, {3.770356335133616*^9, 3.770356365355825*^9}, { 3.7703607647354*^9, 3.770360794211659*^9}, 3.770363444529682*^9, 3.770363802435606*^9}, CellLabel-> "Out[427]=",ExpressionUUID->"b39d9bca-5afe-442e-9c5e-d66fc2cca67e"], Cell[BoxData[ RowBox[{"{", RowBox[{"2", ",", RowBox[{"{", RowBox[{"r", "\[Rule]", "1"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.77035606489177*^9, 3.770356065483933*^9}, 3.770356278919186*^9, {3.770356335133616*^9, 3.770356365355825*^9}, { 3.7703607647354*^9, 3.770360794211659*^9}, 3.770363444529682*^9, 3.770363802574666*^9}, CellLabel-> "Out[428]=",ExpressionUUID->"1fbb8fb2-a6d6-4ba9-8fb1-1a3123cada33"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Series", "[", RowBox[{ RowBox[{ SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "0"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.770367922871909*^9, 3.7703679612003613`*^9}, { 3.770367997382325*^9, 3.770368001254977*^9}}, CellLabel-> "In[633]:=",ExpressionUUID->"d3408dfa-badf-407d-8d06-f45bbaf922b9"], Cell[BoxData[ InterpretationBox[ RowBox[{ RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"-", "\[Rho]"}]], "+", SqrtBox["\[Rho]"]}], ")"}], "+", InterpretationBox[ SuperscriptBox[ RowBox[{"O", "[", "r", "]"}], "1"], SeriesData[$CellContext`r, 0, {}, 0, 1, 1], Editable->False]}], SeriesData[$CellContext`r, 0, {(-$CellContext`\[Rho])^Rational[1, 2] + $CellContext`\[Rho]^ Rational[1, 2]}, 0, 1, 1], Editable->False]], "Output", CellChangeTimes->{{3.770367928908155*^9, 3.770367961580634*^9}, { 3.770367998704728*^9, 3.770368001765325*^9}}, CellLabel-> "Out[633]=",ExpressionUUID->"f8bd486f-dede-4d40-b045-8de69b30d6db"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}], ",", "\[Rho]"}], "]"}], "/.", RowBox[{"\[Rho]", "\[Rule]", "0"}]}]], "Input", CellChangeTimes->{{3.77036935226329*^9, 3.770369360280531*^9}}, CellLabel-> "In[735]:=",ExpressionUUID->"581c7571-3220-471d-82da-c23f349e02c2"], Cell[BoxData["0"], "Output", CellChangeTimes->{{3.770369354873263*^9, 3.770369360856999*^9}}, CellLabel-> "Out[735]=",ExpressionUUID->"9acf7527-3abb-4db8-8032-4fabe60cb32b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SqrtBox["r"]}], "-", FractionBox[ RowBox[{ SqrtBox[ RowBox[{"1", "-", "r"}]], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", SuperscriptBox["r", RowBox[{"3", "/", "2"}]]}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}]}], "}"}]}], ",", "r"}], "]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", "1"}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", "1"}]}], "}"}]}], ",", "r"}], "]"}], "//", "RootReduce"}]}], "Input", CellChangeTimes->{{3.77036794248555*^9, 3.7703679695757513`*^9}}, CellLabel-> "In[630]:=",ExpressionUUID->"ea26d5a0-682a-48df-a56f-0698612b8381"], Cell[BoxData["$Aborted"], "Output", CellChangeTimes->{{3.770367951264279*^9, 3.770367959141625*^9}, 3.770367998110351*^9}, CellLabel-> "Out[630]=",ExpressionUUID->"4e41670a-6d68-4704-8a18-a0b7374e0b24"], Cell[BoxData[ RowBox[{"{", RowBox[{"2", ",", RowBox[{"{", RowBox[{"r", "\[Rule]", "1"}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.770367951264279*^9, 3.770367959141625*^9}, 3.770367998186431*^9}, CellLabel-> "Out[631]=",ExpressionUUID->"085108c4-5f1e-40f2-83f7-dc47f1d6b736"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox[ RowBox[{"2", "-", RowBox[{"(", RowBox[{"1", "-", SqrtBox["5"]}], ")"}]}], RowBox[{"1", "-", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]}]], "2"}], "+", "b"}], "\[Equal]", "1"}], "]"}]], "Input", CellChangeTimes->{{3.7703641261175833`*^9, 3.770364137671137*^9}, 3.770364178361227*^9, {3.770364241779769*^9, 3.770364242353159*^9}, { 3.770364284926425*^9, 3.770364289862114*^9}, 3.7703643218379393`*^9}, CellLabel-> "In[478]:=",ExpressionUUID->"89a71f0e-76ad-4f3c-919e-53b40ee13d59"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{"b", "\[Rule]", FractionBox[ RowBox[{ RowBox[{"-", "15"}], "-", RowBox[{"19", " ", SqrtBox["5"]}]}], RowBox[{"5", "+", SqrtBox["5"]}]]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.770364138079892*^9, 3.770364178802505*^9, 3.770364244219048*^9, 3.7703642906366177`*^9, 3.77036432398282*^9}, CellLabel-> "Out[478]=",ExpressionUUID->"4f8d6ecc-d897-4c7e-bff0-075656fb8af8"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}], ",", RowBox[{"-", SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.770368270208548*^9, 3.770368290983314*^9}, { 3.77036836029222*^9, 3.770368381700404*^9}}, CellLabel-> "In[673]:=",ExpressionUUID->"ac1bc10d-88c9-4fec-a2c2-62908db81bff"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVlWs81Pkex8clpGLJVqMQ4aSI7WJzlK9CLDobkYpFpbKKUiS7LhEltkhe al2KXAoxyi3Xr9XQKhqXcRdmMC4z8/9xcreZ03nweb1f72fvZx/1s1fsz4vT aDTvb/s/rc+Pt9ZOOJp8jI1cEokISpopXx2k74XGqLfONSsE9zx7klJEN4du KevCoK8EbZq73qTSHSAuNXzP4hJBJ4/56ni6B3T5bX0+PUvws/5ds/t0PzjH QtUhPsG073++E02PAL+2VTFFXQTDZIr+dY+eAGI/3OzdwyB48lQ6Y2o6EyaH s+MLTxBcIwpzsVRlQE4kja0tQVDLjhp/F1MMEudMes4VUhjwyQiezJSD3W3n llRHCjcWKwyIiSHMzcqyKJEQS7lmTawDdZC8dSxjOV2IdV6pm08JmGDjeaDm T3MhzmoflM/3fg88iXX1PgIBii/mfbdZ6wNIXo0QS4sRoKHIvfR4QRNoVLqM rzcQYFPE3k8NO1hg+kwj0aCDj2px/MUcqgUe2VvNmvjykT8/ONBh0AbH2YYF hYp8zJys/CD3oB3cHxbZlOVOopzKCzIywob8HqnDSmaT+MevJRfSNDshyeHq nvmhCZwzzRvxDO2C6tMahRy/CfTbzSze8K4btpnuknCWm8DBAmZMq3ovLMt9 aXVPHcdlL3ayzm99YDKbmX5ddxx3HpJeuVDZD7vmZfYa/jWGls/VL77eOAA3 oi32v7MewwAVNw2OyyCIivNSxXp5qCtwXNN1dAgkodrs2K88XC8/JcNcGoJD q93kbwlGURKTGdtSOEAzOloU4D+Kl/ZW9qy24cJAysaHgdMjmPfT2bSaOS5E Bv9Yn315BGf5yt/xEofB+5Y8lSUcxpLjlhIJ5iNwyaARTdyHMdQq8lkxbwTC Iw4YhXdzUf2zdXdG5Cj0NajXp//MxX//GJFA380Di2uL7ldKOeiiyloUa+fB 09WqT/I1ODj74T73atgY5NyKvpkTNIRPJF397DXHQX/VkVHpskFcP1DyXJw5 Dh4pPrvVfAZwVXCYg5HvBNx9drSEs9CPtBxXBldxEmzbl7Qqo/vwWhLjvmLd JNDm+ILtYz1YvTNKRsGHD/f/m2qbod+NCtbXdMPlBLCsFPDiSkAn9uu1tAdW CaCZI2Phe5WNhU9Bc8RVCOEX5i54n2zDXxiGCiorQnj9MGDmnnQLlp5ekGuh UVDqKz4YsshCOamKtbclKJBxFRr1DbOw1uWgzIQMBQ56mdkX37JQQ9ZcVLye gnvr7EUf3VnI87AT2up88xvaZ7ILPqGP8uXGIAcK/OTeDmYdbMaGer33+k4U BHswapa0mlHNlzC5pyhgT804HpBrxpb312qt3CjwoC9TEQNNuNs/sEzJiwJj JzUv7ZAmnGfdyXoVSkFn3peKoPKPeCsyPaw/l4LJW56yHaofcF2AtPWZfAom lnMX6VIfMMnTW5HHoMDZ/6udpbARi2yMMkgxBS16IbqnKxuRp9DKFEcKNttk 1Z880Yg2T2kyOu0U/LBHs+jG3b9xQ5nbA/9lCmTP92oy2xsw42X9iaWvFIg6 5mKulzWgQdJOtVAagfBjnb+Lkhrwp+B5RtQqAhH9Ot25ZxowyCy2NVmegKnd ySkQ1iOXVaNUt42A32fvvb3/MDF/XCVZzpZAJe/ehuCFOoxKjXQf+A8BalGJ c76tDj3shVoFdgRe9jfO017V4ZaqqsKjTgQMH3V6HnGtw+hY54Y/zhKIVuY7 smv+Qk/DP6dlAwnwWw/2dnnXojmfVtb7OwHdoRnT5kO1qJbmGZQbQmBsa6K8 9fe12Ll6v7R1BIHzZhYlj/wRLT53brkXS2CftSr190o1akQoWUlnf+vtswtX YVfgyv6gdV0vCUxuX1775WIF9giH27LzCEgIO0yllsoxzqnolyOvCRy5osWK 2lSOoh321yOrCFz3ELXOGZdh72D5fkckQPSmJipqSrE0QX1Fs44AZ0OWZo1J KfqsTEUx3xOo6+THl+8rwf7W2KcS7QQUTehtIQtv8O2d+XPtHQSWuNO7rVzf YIKxm05GN4HUeGWDzprXaJO1q/jwAIHjcZd6e7wLUft0YqAih4D/Yb3hx/4M FJdfMeEOE5BqNDnWvJKPFTebG8MmCMjojXpqsHMxUW9frJ2AQAPPae2DTTno y01xUCcEBE0vfvvH+AXaPpZUnp4msMWnux73ZeF228uDtTMENkk51kYuPEdJ MXZm3DwBEX1rH8c7DYdKjL3clwi8CtWRMGQnYZVXhr7BVwLbW3cEpi/E42O1 NbPffgssvS7eDi7XwP8BYDzBdA== "]]}, Annotation[#, "Charting`Private`Tag$2488538#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVlWs81Pkex8clpGLJVqMQ4aSI7WJzlK9CLDobkYpFpbKKUiS7LhEltkhe al2KXAoxyi3Xr9XQKhqXcRdmMC4z8/9xcreZ03nweb1f72fvZx/1s1fsz4vT aDTvb/s/rc+Pt9ZOOJp8jI1cEokISpopXx2k74XGqLfONSsE9zx7klJEN4du KevCoK8EbZq73qTSHSAuNXzP4hJBJ4/56ni6B3T5bX0+PUvws/5ds/t0PzjH QtUhPsG073++E02PAL+2VTFFXQTDZIr+dY+eAGI/3OzdwyB48lQ6Y2o6EyaH s+MLTxBcIwpzsVRlQE4kja0tQVDLjhp/F1MMEudMes4VUhjwyQiezJSD3W3n llRHCjcWKwyIiSHMzcqyKJEQS7lmTawDdZC8dSxjOV2IdV6pm08JmGDjeaDm T3MhzmoflM/3fg88iXX1PgIBii/mfbdZ6wNIXo0QS4sRoKHIvfR4QRNoVLqM rzcQYFPE3k8NO1hg+kwj0aCDj2px/MUcqgUe2VvNmvjykT8/ONBh0AbH2YYF hYp8zJys/CD3oB3cHxbZlOVOopzKCzIywob8HqnDSmaT+MevJRfSNDshyeHq nvmhCZwzzRvxDO2C6tMahRy/CfTbzSze8K4btpnuknCWm8DBAmZMq3ovLMt9 aXVPHcdlL3ayzm99YDKbmX5ddxx3HpJeuVDZD7vmZfYa/jWGls/VL77eOAA3 oi32v7MewwAVNw2OyyCIivNSxXp5qCtwXNN1dAgkodrs2K88XC8/JcNcGoJD q93kbwlGURKTGdtSOEAzOloU4D+Kl/ZW9qy24cJAysaHgdMjmPfT2bSaOS5E Bv9Yn315BGf5yt/xEofB+5Y8lSUcxpLjlhIJ5iNwyaARTdyHMdQq8lkxbwTC Iw4YhXdzUf2zdXdG5Cj0NajXp//MxX//GJFA380Di2uL7ldKOeiiyloUa+fB 09WqT/I1ODj74T73atgY5NyKvpkTNIRPJF397DXHQX/VkVHpskFcP1DyXJw5 Dh4pPrvVfAZwVXCYg5HvBNx9drSEs9CPtBxXBldxEmzbl7Qqo/vwWhLjvmLd JNDm+ILtYz1YvTNKRsGHD/f/m2qbod+NCtbXdMPlBLCsFPDiSkAn9uu1tAdW CaCZI2Phe5WNhU9Bc8RVCOEX5i54n2zDXxiGCiorQnj9MGDmnnQLlp5ekGuh UVDqKz4YsshCOamKtbclKJBxFRr1DbOw1uWgzIQMBQ56mdkX37JQQ9ZcVLye gnvr7EUf3VnI87AT2up88xvaZ7ILPqGP8uXGIAcK/OTeDmYdbMaGer33+k4U BHswapa0mlHNlzC5pyhgT804HpBrxpb312qt3CjwoC9TEQNNuNs/sEzJiwJj JzUv7ZAmnGfdyXoVSkFn3peKoPKPeCsyPaw/l4LJW56yHaofcF2AtPWZfAom lnMX6VIfMMnTW5HHoMDZ/6udpbARi2yMMkgxBS16IbqnKxuRp9DKFEcKNttk 1Z880Yg2T2kyOu0U/LBHs+jG3b9xQ5nbA/9lCmTP92oy2xsw42X9iaWvFIg6 5mKulzWgQdJOtVAagfBjnb+Lkhrwp+B5RtQqAhH9Ot25ZxowyCy2NVmegKnd ySkQ1iOXVaNUt42A32fvvb3/MDF/XCVZzpZAJe/ehuCFOoxKjXQf+A8BalGJ c76tDj3shVoFdgRe9jfO017V4ZaqqsKjTgQMH3V6HnGtw+hY54Y/zhKIVuY7 smv+Qk/DP6dlAwnwWw/2dnnXojmfVtb7OwHdoRnT5kO1qJbmGZQbQmBsa6K8 9fe12Ll6v7R1BIHzZhYlj/wRLT53brkXS2CftSr190o1akQoWUlnf+vtswtX YVfgyv6gdV0vCUxuX1775WIF9giH27LzCEgIO0yllsoxzqnolyOvCRy5osWK 2lSOoh321yOrCFz3ELXOGZdh72D5fkckQPSmJipqSrE0QX1Fs44AZ0OWZo1J KfqsTEUx3xOo6+THl+8rwf7W2KcS7QQUTehtIQtv8O2d+XPtHQSWuNO7rVzf YIKxm05GN4HUeGWDzprXaJO1q/jwAIHjcZd6e7wLUft0YqAih4D/Yb3hx/4M FJdfMeEOE5BqNDnWvJKPFTebG8MmCMjojXpqsHMxUW9frJ2AQAPPae2DTTno y01xUCcEBE0vfvvH+AXaPpZUnp4msMWnux73ZeF228uDtTMENkk51kYuPEdJ MXZm3DwBEX1rH8c7DYdKjL3clwi8CtWRMGQnYZVXhr7BVwLbW3cEpi/E42O1 NbPffgssvS7eDi7XwP8BYDzBdA== "]]}, Annotation[#, "Charting`Private`Tag$2488538#2"]& ]}, {}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 1}, {-0.9999999897959183, 0.}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.770368283104776*^9, 3.77036829139898*^9}, { 3.770368365383689*^9, 3.7703683822089367`*^9}}, CellLabel-> "Out[673]=",ExpressionUUID->"d3f38375-f85b-4080-973e-b8ce9133c3e9"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"f", "[", "\[Rho]_", "]"}], ":=", RowBox[{ RowBox[{"2", " ", RowBox[{"(", RowBox[{"1", "-", SqrtBox["5"]}], ")"}]}], "+", RowBox[{ FractionBox["1", "2"], FractionBox[ RowBox[{"4", "-", RowBox[{"2", RowBox[{"(", RowBox[{"1", "-", SqrtBox["5"]}], ")"}]}]}], RowBox[{"1", "-", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]}]], "\[Rho]"}]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"f", "[", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}], "]"}], ",", RowBox[{"f", "[", "1", "]"}]}], "}"}], "//", "Simplify"}]}], "Input", CellChangeTimes->{{3.770363450063698*^9, 3.77036347915561*^9}, { 3.770363536423809*^9, 3.770363709874524*^9}, {3.770363754294034*^9, 3.770363769317905*^9}, {3.770363819605863*^9, 3.770363820699188*^9}, { 3.770363938831894*^9, 3.770363985330222*^9}, {3.770364049461981*^9, 3.7703640655172997`*^9}, {3.770364121353889*^9, 3.770364121760092*^9}, { 3.770364237905362*^9, 3.770364261359673*^9}, {3.7703644187785482`*^9, 3.770364421712253*^9}, {3.7703644733948727`*^9, 3.77036450140591*^9}, { 3.770364558149637*^9, 3.770364576458148*^9}}, CellLabel-> "In[496]:=",ExpressionUUID->"1b4bb8b5-2c72-47ea-851a-9dba5bb2318c"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"1", "-", SqrtBox["5"]}], ",", "2"}], "}"}]], "Output", CellChangeTimes->{{3.770363961039034*^9, 3.770363985706874*^9}, 3.770364065979822*^9, {3.770364215030232*^9, 3.77036426168824*^9}, 3.770364315595896*^9, 3.7703644220272703`*^9, {3.770364473963245*^9, 3.770364502288925*^9}, {3.770364563951126*^9, 3.770364576917033*^9}}, CellLabel-> "Out[497]=",ExpressionUUID->"0f0e457b-4757-4090-b7a5-28ca381bf332"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"10", "\[Rho]", " ", FractionBox["5", RowBox[{"5", "-", SqrtBox["5"]}]]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.770365164711493*^9, 3.770365167183897*^9}}, CellLabel-> "In[539]:=",ExpressionUUID->"220433e9-a8c5-4fe0-abe4-660f4ac4e8ed"], Cell[BoxData[ RowBox[{ FractionBox["5", "2"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}], " ", "\[Rho]"}]], "Output", CellChangeTimes->{3.770365167593266*^9}, CellLabel-> "Out[539]=",ExpressionUUID->"bac8c52d-463c-4a54-9ff0-ed1b9231cb0b"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}]], "Input",ExpressionUUID->"f5920e24-f04b-\ 467c-b842-4557bfaff1b5"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"g", "[", "\[Rho]_", "]"}], ":=", RowBox[{ SqrtBox[ RowBox[{"a", "-", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"b", "-", "\[Rho]"}]]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"g", "[", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}], "]"}], ",", RowBox[{"g", "[", "1", "]"}]}], "}"}], "//", "Simplify"}]}], "Input", CellChangeTimes->{{3.770364682106235*^9, 3.770364722317223*^9}, { 3.77036475638727*^9, 3.7703647626704884`*^9}, {3.770365084281814*^9, 3.770365180371677*^9}, {3.770367259140451*^9, 3.770367311767028*^9}, { 3.770368032998887*^9, 3.770368039283681*^9}, 3.770372017927457*^9}, CellLabel-> "In[878]:=",ExpressionUUID->"7cd1cbf8-a21b-46b7-a622-10951106a0c5"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ SqrtBox[ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "+", SqrtBox["5"]}], ")"}]}], "+", "a"}]], "+", SqrtBox[ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "+", SqrtBox["5"]}], ")"}]}], "+", "b"}]]}], ",", RowBox[{ SqrtBox[ RowBox[{ RowBox[{"-", "1"}], "+", "a"}]], "+", SqrtBox[ RowBox[{ RowBox[{"-", "1"}], "+", "b"}]]}]}], "}"}]], "Output", CellChangeTimes->{{3.7703646974856157`*^9, 3.770364722828594*^9}, { 3.770364757057626*^9, 3.7703647630666*^9}, {3.770365086701041*^9, 3.770365180883381*^9}, {3.770367268349998*^9, 3.7703673121044827`*^9}, 3.770368039660561*^9, 3.770372024052246*^9}, CellLabel-> "Out[879]=",ExpressionUUID->"37fe6722-4907-4f6c-b528-01e97a3dd3e0"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"g", "[", "\[Rho]_", "]"}], ":=", RowBox[{ RowBox[{"a", SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}], "+", RowBox[{"b", SqrtBox[ RowBox[{"1", "+", "\[Rho]"}]]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{"res", "=", RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"g", "[", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}], "]"}], "==", RowBox[{"1", "-", SqrtBox["5"]}]}], ",", RowBox[{ RowBox[{"g", "[", "1", "]"}], "\[Equal]", "2"}]}], "}"}], ",", RowBox[{"{", RowBox[{"a", ",", "b"}], "}"}]}], "]"}], "//", "FullSimplify"}]}]}], "Input", CellChangeTimes->{{3.770367339965982*^9, 3.770367446574767*^9}, { 3.7703674872445517`*^9, 3.7703675614557953`*^9}, {3.770367798937578*^9, 3.7703678174692097`*^9}, {3.7703680432850943`*^9, 3.770368141578104*^9}, { 3.770368194422386*^9, 3.770368199363662*^9}, {3.770368309908614*^9, 3.7703683198355503`*^9}, {3.770368414416993*^9, 3.770368450586837*^9}, { 3.770368488883877*^9, 3.770368503513096*^9}, {3.770368558902196*^9, 3.770368560392832*^9}, {3.770368606955874*^9, 3.770368628973783*^9}, { 3.770368782131487*^9, 3.770368809732465*^9}, {3.770369159174429*^9, 3.770369250318253*^9}, {3.7703694006278954`*^9, 3.7703694388679533`*^9}, { 3.770369493194891*^9, 3.770369539153059*^9}, 3.770372030907764*^9}, CellLabel-> "In[880]:=",ExpressionUUID->"bdd2ece0-4de2-4782-b12e-f65ea62c1065"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{"-", SqrtBox[ RowBox[{"28", "-", RowBox[{"10", " ", SqrtBox["5"]}], "+", RowBox[{"4", " ", SqrtBox[ RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}]}]]}]}]]}]}], ",", RowBox[{"b", "\[Rule]", SqrtBox["2"]}]}], "}"}], "}"}]], "Output", CellChangeTimes->{{3.7703673910228863`*^9, 3.770367446982045*^9}, { 3.7703674898192787`*^9, 3.770367562011962*^9}, {3.770367804881208*^9, 3.770367817949255*^9}, {3.770368046359651*^9, 3.770368142072946*^9}, 3.7703682009462347`*^9, {3.770368313562025*^9, 3.770368320372563*^9}, { 3.77036843205802*^9, 3.770368451096135*^9}, {3.770368498324264*^9, 3.770368503965906*^9}, 3.770368561013113*^9, {3.7703686085739822`*^9, 3.770368629440127*^9}, 3.770368766481385*^9, 3.770368810322048*^9, { 3.770369191950976*^9, 3.770369251522026*^9}, 3.770369407897594*^9, 3.7703694393900547`*^9, {3.770369495828824*^9, 3.7703695575919237`*^9}, 3.770370049675899*^9, 3.770372031590873*^9}, CellLabel-> "Out[881]=",ExpressionUUID->"199e32fe-dab8-41b7-9d4b-b0e71d5e96c3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"g", "[", "\[Rho]", "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{"-", SqrtBox[ RowBox[{"28", "-", RowBox[{"10", " ", SqrtBox["5"]}], "+", RowBox[{"4", " ", SqrtBox[ RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}]}]]}]}]]}]}], ",", RowBox[{"b", "\[Rule]", SqrtBox["2"]}]}], "}"}]}]], "Input", CellChangeTimes->{{3.7703720458582687`*^9, 3.770372047742238*^9}}, CellLabel-> "In[882]:=",ExpressionUUID->"b67024a0-d370-493f-8f08-f8f5cfe0af3e"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{"28", "-", RowBox[{"10", " ", SqrtBox["5"]}], "+", RowBox[{"4", " ", SqrtBox[ RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}]}]]}]}]]}], " ", SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}], "+", RowBox[{ SqrtBox["2"], " ", SqrtBox[ RowBox[{"1", "+", "\[Rho]"}]]}]}]], "Output", CellChangeTimes->{3.770372048242724*^9}, CellLabel-> "Out[882]=",ExpressionUUID->"2eeb3489-629f-4103-a9d5-a63ac2cd5db5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}], "+", FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], RowBox[{"4", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]}], ",", "\[Rho]"}], "]"}], "/.", RowBox[{"\[Rho]", "->", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]}]}]], "Input", CellChangeTimes->{{3.770369386407669*^9, 3.770369394941937*^9}}, CellLabel-> "In[736]:=",ExpressionUUID->"90bb66f1-7e68-46c6-bee3-cab494058510"], Cell[BoxData[ FractionBox[ RowBox[{ RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}], " ", RowBox[{"(", RowBox[{"7", "+", RowBox[{"5", " ", SqrtBox["5"]}]}], ")"}]}], RowBox[{"20", " ", RowBox[{"(", RowBox[{"15", "+", RowBox[{"7", " ", SqrtBox["5"]}]}], ")"}]}]]], "Output", CellChangeTimes->{3.77036939535046*^9}, CellLabel-> "Out[736]=",ExpressionUUID->"bb037751-9959-4322-86cb-53c0b882a286"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Series", "[", RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ RowBox[{"a", SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}], "+", RowBox[{"b", SqrtBox[ RowBox[{"1", "+", "\[Rho]"}]]}], "+", "c"}], ",", "\[Rho]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "2"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.770369458928591*^9, 3.770369477670397*^9}}, CellLabel-> "In[744]:=",ExpressionUUID->"f0d09489-40ed-4c87-bd70-57d5df59aa3e"], Cell[BoxData[ InterpretationBox[ RowBox[{ RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "a"}], "+", "b"}], ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", FractionBox["a", "4"]}], "-", FractionBox["b", "4"]}], ")"}], " ", "\[Rho]"}], "-", RowBox[{ FractionBox["3", "16"], " ", RowBox[{"(", RowBox[{"a", "-", "b"}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", InterpretationBox[ SuperscriptBox[ RowBox[{"O", "[", "\[Rho]", "]"}], "3"], SeriesData[$CellContext`\[Rho], 0, {}, 0, 3, 1], Editable->False]}], SeriesData[$CellContext`\[Rho], 0, { Rational[1, 2] (-$CellContext`a + $CellContext`b), Rational[-1, 4] $CellContext`a + Rational[-1, 4] $CellContext`b, Rational[-3, 16] ($CellContext`a - $CellContext`b)}, 0, 3, 1], Editable->False]], "Output", CellChangeTimes->{{3.770369461388801*^9, 3.770369478129759*^9}}, CellLabel-> "Out[744]=",ExpressionUUID->"40be8bdd-e42e-4838-a300-86df1453828c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{"-", FractionBox["a", "4"]}], "-", FractionBox["b", "4"]}], "\[Equal]", "0"}], "]"}]], "Input", CellChangeTimes->{{3.770369485849436*^9, 3.7703694882596807`*^9}}, CellLabel-> "In[745]:=",ExpressionUUID->"1be0986b-ab83-4b90-9569-d68fe7cd907c"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{"b", "\[Rule]", RowBox[{"-", "a"}]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.7703694887263823`*^9}, CellLabel-> "Out[745]=",ExpressionUUID->"a0105835-1d2f-4c30-bd85-ef33614a878b"] }, Open ]], Cell[BoxData[ RowBox[{"g", "[", "\[Rho]_", "]"}]], "Input",ExpressionUUID->"1b780b0a-caa3-4379-9d69-3a1e6d2af6e2"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"g", "'"}], "[", "\[Rho]", "]"}]], "Input", CellChangeTimes->{{3.770369196641571*^9, 3.770369201597176*^9}}, CellLabel-> "In[722]:=",ExpressionUUID->"c4529749-e823-4228-b422-c4983b67d7ef"], Cell[BoxData[ RowBox[{ FractionBox["a", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}]], "+", FractionBox["b", RowBox[{"2", " ", SqrtBox[ RowBox[{"1", "+", "\[Rho]"}]]}]]}]], "Output", CellChangeTimes->{3.770369202015788*^9}, CellLabel-> "Out[722]=",ExpressionUUID->"7885a11b-1cb5-49f0-9c6d-e98e3646b66e"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "a"}], SqrtBox[ RowBox[{"1", "-", "\[Rho]"}]]}], "+", RowBox[{"b", SqrtBox[ RowBox[{"1", "+", "\[Rho]"}]]}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{ RowBox[{"5", " ", SqrtBox[ FractionBox["2", RowBox[{"5", "+", SqrtBox["5"]}]]]}], "-", SqrtBox[ FractionBox["10", RowBox[{"5", "+", SqrtBox["5"]}]]], "+", SqrtBox[ FractionBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"15", "-", SqrtBox["5"]}], ")"}]}], RowBox[{"5", "+", SqrtBox["5"]}]]]}]}], ",", RowBox[{"b", "\[Rule]", SqrtBox["2"]}]}], "}"}]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.7703681525470057`*^9, 3.7703681572858267`*^9}, { 3.770368206700478*^9, 3.770368210516891*^9}, {3.770368334877243*^9, 3.770368339623489*^9}, {3.770368513763983*^9, 3.77036851762368*^9}, { 3.770368566057849*^9, 3.770368571586041*^9}, {3.770368634318568*^9, 3.7703686380704527`*^9}}, CellLabel-> "In[691]:=",ExpressionUUID->"7b3bfc94-3551-4d09-a12c-23bfbf12c0d3"], Cell[BoxData[ RowBox[{ SqrtBox["2"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", SqrtBox[ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "14"}], "+", RowBox[{"5", " ", SqrtBox["5"]}], "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}]}]]}]}], ")"}], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", "\[Rho]"}], ")"}]}]]}], "+", SqrtBox[ RowBox[{"1", "+", "\[Rho]"}]]}], ")"}]}]], "Output", CellChangeTimes->{{3.7703681532220297`*^9, 3.770368157988049*^9}, 3.770368211785964*^9, 3.7703683400449257`*^9, 3.770368519537122*^9, 3.7703685743770437`*^9, 3.770368639101359*^9}, CellLabel-> "Out[691]=",ExpressionUUID->"322ab48d-88ba-468a-b8f5-55478395e062"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"c", "-", SqrtBox[ RowBox[{"a", "+", SqrtBox[ RowBox[{"\[Rho]", " ", "b"}]]}]]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{"14", "-", RowBox[{"6", " ", SqrtBox["5"]}], "-", RowBox[{"3", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]]}], "+", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], "-", RowBox[{"4", " ", "c"}], "+", RowBox[{"4", " ", SqrtBox["5"], " ", "c"}], "+", RowBox[{"2", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", "c"}], "+", SuperscriptBox["c", "2"]}]}], ",", RowBox[{"b", "\[Rule]", RowBox[{"8", " ", RowBox[{"(", RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}], "-", RowBox[{"15", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]]}], "+", RowBox[{"7", " ", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]]}], "-", RowBox[{"50", " ", "c"}], "+", RowBox[{"18", " ", SqrtBox["5"], " ", "c"}], "+", RowBox[{"10", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", "c"}], "-", RowBox[{"6", " ", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", "c"}], "+", RowBox[{"15", " ", SuperscriptBox["c", "2"]}], "-", RowBox[{ SqrtBox["5"], " ", SuperscriptBox["c", "2"]}], "+", RowBox[{"2", " ", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", SuperscriptBox["c", "2"]}]}], ")"}]}]}]}], "}"}]}]], "Input", CellChangeTimes->{{3.770367833345251*^9, 3.770367833588003*^9}}, CellLabel-> "In[608]:=",ExpressionUUID->"9c4266d1-5234-417b-b2a7-0d0b23912c6d"], Cell[BoxData[ RowBox[{"c", "-", RowBox[{"\[Sqrt]", RowBox[{"(", RowBox[{"14", "-", RowBox[{"6", " ", SqrtBox["5"]}], "-", RowBox[{"3", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]]}], "+", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], "-", RowBox[{"4", " ", "c"}], "+", RowBox[{"4", " ", SqrtBox["5"], " ", "c"}], "+", RowBox[{"2", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", "c"}], "+", SuperscriptBox["c", "2"], "+", RowBox[{"2", " ", SqrtBox["2"], " ", SqrtBox[ RowBox[{ RowBox[{"(", RowBox[{"60", "-", RowBox[{"26", " ", SqrtBox["5"]}], "-", RowBox[{"15", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]]}], "+", RowBox[{"7", " ", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]]}], "-", RowBox[{"50", " ", "c"}], "+", RowBox[{"18", " ", SqrtBox["5"], " ", "c"}], "+", RowBox[{"10", " ", SqrtBox[ RowBox[{"2", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", "c"}], "-", RowBox[{"6", " ", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", "c"}], "+", RowBox[{"15", " ", SuperscriptBox["c", "2"]}], "-", RowBox[{ SqrtBox["5"], " ", SuperscriptBox["c", "2"]}], "+", RowBox[{"2", " ", SqrtBox[ RowBox[{"10", " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]], " ", SuperscriptBox["c", "2"]}]}], ")"}], " ", "\[Rho]"}]]}]}], ")"}]}]}]], "Output", CellChangeTimes->{3.770367833943138*^9}, CellLabel-> "Out[608]=",ExpressionUUID->"68396fca-2c69-4578-ae4a-ae7c3369b3fb"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"c", "-", SqrtBox[ RowBox[{"a", "+", RowBox[{"\[Rho]", " ", "b"}]}]]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{"14", "-", RowBox[{"6", " ", SqrtBox["5"]}], "-", RowBox[{"4", " ", "c"}], "+", RowBox[{"4", " ", SqrtBox["5"], " ", "c"}], "+", SuperscriptBox["c", "2"]}]}], ",", RowBox[{"b", "\[Rule]", RowBox[{ RowBox[{"-", "2"}], " ", RowBox[{"(", RowBox[{"5", "-", RowBox[{"3", " ", SqrtBox["5"]}], "+", RowBox[{"2", " ", SqrtBox["5"], " ", "c"}]}], ")"}]}]}]}], "}"}]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.770367576712673*^9, 3.770367580125554*^9}}, CellLabel-> "In[583]:=",ExpressionUUID->"b497e088-ec28-4370-80b4-0daf66830f10"], Cell[BoxData[ RowBox[{"c", "-", SqrtBox[ RowBox[{"14", "-", RowBox[{"6", " ", SqrtBox["5"]}], "+", RowBox[{"2", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "+", RowBox[{"3", " ", SqrtBox["5"]}]}], ")"}], " ", "\[Rho]"}], "+", RowBox[{"c", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "4"}], "+", RowBox[{"4", " ", SqrtBox["5"]}], "+", "c", "-", RowBox[{"4", " ", SqrtBox["5"], " ", "\[Rho]"}]}], ")"}]}]}]]}]], "Output", CellChangeTimes->{{3.770367577335993*^9, 3.7703675807006617`*^9}}, CellLabel-> "Out[583]=",ExpressionUUID->"f849a289-6709-4ce3-b519-a38b1ec0daa9"] }, Open ]], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"c", "-", SqrtBox[ RowBox[{"a", "+", RowBox[{"\[Rho]", " ", "b"}]}]]}], "==", RowBox[{"1", "-", SqrtBox["5"]}]}], "/.", RowBox[{"\[Rho]", "->", RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"5", "-", SqrtBox["5"]}], ")"}]}]}]}], ",", RowBox[{ RowBox[{ RowBox[{"c", "-", SqrtBox[ RowBox[{"a", "+", RowBox[{"\[Rho]", " ", "b"}]}]]}], "\[Equal]", "2"}], "/.", RowBox[{"\[Rho]", "\[Rule]", "1"}]}]}], "}"}]], "Input",ExpressionUUID->\ "0568fde1-7a1c-4c43-b64a-1870dda13331"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"1", "-", SqrtBox[ FractionBox[ RowBox[{"5", RowBox[{"(", RowBox[{"a", "+", RowBox[{"\[Rho]", " ", "b"}]}], ")"}]}], "2"]], "+", SqrtBox[ RowBox[{ RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}], " ", "\[Rho]"}]]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"a", "\[Rule]", RowBox[{ FractionBox["2", "5"], " ", RowBox[{"(", RowBox[{"11", "-", RowBox[{"5", " ", SqrtBox["2"]}], "-", RowBox[{"2", " ", SqrtBox["5"]}], "+", RowBox[{"5", " ", SqrtBox["10"]}], "+", RowBox[{"3", " ", SqrtBox[ RowBox[{"5", "+", SqrtBox["5"]}]]}], "-", SqrtBox[ RowBox[{"5", " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}]]}], ")"}]}]}], ",", RowBox[{"b", "\[Rule]", RowBox[{ FractionBox["2", "5"], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "+", RowBox[{"5", " ", SqrtBox["2"]}], "+", RowBox[{"3", " ", SqrtBox["5"]}], "-", RowBox[{"5", " ", SqrtBox["10"]}], "-", RowBox[{"5", " ", SqrtBox[ RowBox[{"5", "+", SqrtBox["5"]}]]}], "+", SqrtBox[ RowBox[{"5", " ", RowBox[{"(", RowBox[{"5", "+", SqrtBox["5"]}], ")"}]}]]}], ")"}]}]}]}], "}"}]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.770367460226447*^9, 3.770367464047727*^9}}, CellLabel-> "In[570]:=",ExpressionUUID->"aea5cbae-d4ea-4176-8056-88fe7d970278"], Cell[BoxData[ RowBox[{"1", "+", RowBox[{ SqrtBox[ RowBox[{"5", "+", SqrtBox["5"]}]], " ", SqrtBox["\[Rho]"]}], "-", SqrtBox[ RowBox[{"11", "-", RowBox[{"5", " ", SqrtBox["2"]}], "-", RowBox[{"2", " ", SqrtBox["5"]}], "+", RowBox[{"5", " ", SqrtBox["10"]}], "+", RowBox[{"2", " ", SqrtBox[ RowBox[{"10", "-", RowBox[{"4", " ", SqrtBox["5"]}]}]]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "+", RowBox[{"5", " ", SqrtBox["2"]}], "+", RowBox[{"3", " ", SqrtBox["5"]}], "-", RowBox[{"5", " ", SqrtBox["10"]}], "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"25", "-", RowBox[{"5", " ", SqrtBox["5"]}]}]]}]}], ")"}], " ", "\[Rho]"}]}]]}]], "Output", CellChangeTimes->{{3.770367460967506*^9, 3.7703674659642344`*^9}}, CellLabel-> "Out[570]=",ExpressionUUID->"8caa85c8-068a-46f2-8f59-c3fca43f6f62"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{"{", RowBox[{ FractionBox[ RowBox[{ SuperscriptBox["\[Gamma]12", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Gamma]12", "2"]}]]}], ")"}]}], RowBox[{"2", RowBox[{"(", SuperscriptBox["\[Gamma]12", "2"], ")"}]}]], "\[Equal]", "2"}], "}"}], ",", RowBox[{"{", "\[Gamma]12", "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.770367092700186*^9, 3.7703671703964987`*^9}}, CellLabel-> "In[548]:=",ExpressionUUID->"48bb5e3b-7698-4792-b841-ba76f682e588"], Cell[BoxData[ RowBox[{"{", "}"}]], "Output", CellChangeTimes->{{3.770367120665207*^9, 3.7703671709914427`*^9}}, CellLabel-> "Out[548]=",ExpressionUUID->"eb7a9e2c-b796-4690-a70a-96ff7738ef3d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{"-", RowBox[{"(", RowBox[{ RowBox[{"-", "5"}], "+", SqrtBox["5"]}], ")"}]}], " ", "a"}], "\[Equal]", "5"}], "]"}]], "Input",\ CellChangeTimes->{{3.770365143204015*^9, 3.770365147765109*^9}}, CellLabel-> "In[536]:=",ExpressionUUID->"ce2b9246-2c58-44ab-8ef8-c4ac72249bd2"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{"a", "\[Rule]", RowBox[{"-", FractionBox["5", RowBox[{ RowBox[{"-", "5"}], "+", SqrtBox["5"]}]]}]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.770365148171775*^9}, CellLabel-> "Out[536]=",ExpressionUUID->"1c07b2e7-e56a-4655-a8df-005e1053db95"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", SqrtBox["5"]}], ")"}]}], "//", "N"}]], "Input", CellChangeTimes->{{3.7703644514474277`*^9, 3.770364452189714*^9}}, CellLabel-> "In[484]:=",ExpressionUUID->"9f08302b-de48-447b-889b-8eccca1ead36"], Cell[BoxData[ RowBox[{"-", "2.4721359549995796`"}]], "Output", CellChangeTimes->{3.7703644527770967`*^9}, CellLabel-> "Out[484]=",ExpressionUUID->"30115af6-039e-47c1-865c-b3bd38b84ce5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{"r", "==", RowBox[{"1", "-", SqrtBox[ RowBox[{"(", RowBox[{"5", "-", "\[Rho]"}], ")"}]], "+", RowBox[{"3", SqrtBox["\[Rho]"]}]}]}], ",", "\[Rho]"}], "]"}]], "Input", CellChangeTimes->{{3.770363848735752*^9, 3.770363856782395*^9}}, CellLabel-> "In[433]:=",ExpressionUUID->"acdc3120-7cd2-4be1-a025-db48db84fbd8"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Rho]", "\[Rule]", RowBox[{ FractionBox["1", "50"], " ", RowBox[{"(", RowBox[{"29", "-", RowBox[{"8", " ", "r"}], "+", RowBox[{"4", " ", SuperscriptBox["r", "2"]}], "-", RowBox[{"3", " ", SqrtBox[ RowBox[{"49", "-", RowBox[{"96", " ", "r"}], "+", RowBox[{"44", " ", SuperscriptBox["r", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["r", "3"]}], "-", SuperscriptBox["r", "4"]}]]}]}], ")"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Rho]", "\[Rule]", RowBox[{ FractionBox["1", "50"], " ", RowBox[{"(", RowBox[{"29", "-", RowBox[{"8", " ", "r"}], "+", RowBox[{"4", " ", SuperscriptBox["r", "2"]}], "+", RowBox[{"3", " ", SqrtBox[ RowBox[{"49", "-", RowBox[{"96", " ", "r"}], "+", RowBox[{"44", " ", SuperscriptBox["r", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["r", "3"]}], "-", SuperscriptBox["r", "4"]}]]}]}], ")"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.770363857158559*^9}, CellLabel-> "Out[433]=",ExpressionUUID->"696a4516-4677-4403-8d89-b6fcd177c4a6"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{"SeriesCoefficient", "[", RowBox[{ RowBox[{ SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "n"}], "}"}]}], "]"}], ",", RowBox[{"0", "<", "\[Rho]", "<", "1"}]}], "]"}]], "Input", CellChangeTimes->{{3.770363020250284*^9, 3.7703630711029873`*^9}, { 3.7703631223133183`*^9, 3.77036314864209*^9}}, CellLabel-> "In[367]:=",ExpressionUUID->"463cce86-9881-484a-ad42-5536c18f254f"], Cell[BoxData[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "\[Rho]"}], ")"}], RowBox[{"-", "n"}]], " ", SqrtBox["\[Rho]"], " ", RowBox[{"Binomial", "[", RowBox[{ FractionBox["1", "2"], ",", "n"}], "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", "n", " ", "\[Pi]"}]], " ", RowBox[{"Hypergeometric2F1", "[", RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], ",", RowBox[{"-", "n"}], ",", RowBox[{ FractionBox["3", "2"], "-", "n"}], ",", RowBox[{"-", "\[Rho]"}]}], "]"}]}], "+", RowBox[{"\[ImaginaryI]", " ", RowBox[{"Hypergeometric2F1", "[", RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], ",", RowBox[{"-", "n"}], ",", RowBox[{ FractionBox["3", "2"], "-", "n"}], ",", "\[Rho]"}], "]"}]}]}], ")"}]}]], "Output", CellChangeTimes->{{3.7703630358319473`*^9, 3.7703630412103367`*^9}, 3.7703630715851316`*^9, {3.770363124343219*^9, 3.770363150308407*^9}}, CellLabel-> "Out[367]=",ExpressionUUID->"03382504-961c-4cc9-8aed-0a014a540882"] }, Open ]], Cell[BoxData[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"-", "\[Rho]"}], ")"}], RowBox[{"-", "n"}]], " ", SqrtBox["\[Rho]"], " ", RowBox[{"Binomial", "[", RowBox[{ FractionBox["1", "2"], ",", "n"}], "]"}], " ", RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{"\[ImaginaryI]", " ", "n", " ", "\[Pi]"}]], " ", RowBox[{"Hypergeometric2F1", "[", RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], ",", RowBox[{"-", "n"}], ",", RowBox[{ FractionBox["3", "2"], "-", "n"}], ",", RowBox[{"-", "\[Rho]"}]}], "]"}]}], "+", RowBox[{"\[ImaginaryI]", " ", RowBox[{"Hypergeometric2F1", "[", RowBox[{ RowBox[{"-", FractionBox["1", "2"]}], ",", RowBox[{"-", "n"}], ",", RowBox[{ FractionBox["3", "2"], "-", "n"}], ",", "\[Rho]"}], "]"}]}]}], ")"}]}]], "Input",ExpressionUUID->"70da6a63-e49c-4bcb-b525-318e84bebfa4"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{"{", RowBox[{ RowBox[{ FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["\[Gamma]12", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Gamma]12", "2"], "-", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Gamma]12", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}], ")"}]}]], "==", RowBox[{"1", "-", SqrtBox["5"]}]}], "/.", RowBox[{"\[Gamma]11", "\[Rule]", "1"}]}], "}"}], "]"}]], "Input", CellChangeTimes->{{3.770356555068618*^9, 3.770356628900216*^9}}, CellLabel-> "In[318]:=",ExpressionUUID->"b5c79f3e-2db8-422b-8355-88f0e94f5baa"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"\[Gamma]12", "\[Rule]", RowBox[{ RowBox[{"-", "2"}], " ", "\[ImaginaryI]", " ", SqrtBox[ RowBox[{"5", "-", SqrtBox["5"]}]]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Gamma]12", "\[Rule]", RowBox[{"2", " ", "\[ImaginaryI]", " ", SqrtBox[ RowBox[{"5", "-", SqrtBox["5"]}]]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{ 3.77035658616306*^9, {3.770356623907096*^9, 3.770356629854948*^9}}, CellLabel-> "Out[318]=",ExpressionUUID->"205915b1-1ed6-4032-8a13-fcae014ec638"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"Limit", "[", RowBox[{ FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["\[Gamma]12", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Gamma]12", "2"], "-", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Gamma]12", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}], ")"}]}]], ",", RowBox[{"\[Gamma]11", "\[Rule]", "0"}]}], "]"}], "\[IndentingNewLine]", RowBox[{"Limit", "[", RowBox[{ FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["\[Gamma]12", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Gamma]12", "2"], "-", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["\[Gamma]12", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"\[Gamma]11", "-", "1"}], ")"}], "2"]}], ")"}]}]], ",", RowBox[{"\[Gamma]11", "\[Rule]", "1"}]}], "]"}]}], "Input", CellChangeTimes->{{3.7703564020329313`*^9, 3.770356450436941*^9}}, CellLabel-> "In[314]:=",ExpressionUUID->"3d48881a-6348-422c-a531-174bbe6d4cd9"], Cell[BoxData[ FractionBox[ RowBox[{"2", "+", SuperscriptBox["\[Gamma]12", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"-", SuperscriptBox["\[Gamma]12", "2"]}], ")"}], RowBox[{"3", "/", "2"}]]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Gamma]12", "2"]}], ")"}]}]]], "Output", CellChangeTimes->{{3.770356411229156*^9, 3.770356451007021*^9}}, CellLabel-> "Out[314]=",ExpressionUUID->"be300c02-45a6-4327-b798-101cd7fe9357"], Cell[BoxData[ RowBox[{ FractionBox["1", "2"], " ", RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["\[Gamma]12", "2"]}]]}], ")"}]}]], "Output", CellChangeTimes->{{3.770356411229156*^9, 3.7703564511418953`*^9}}, CellLabel-> "Out[315]=",ExpressionUUID->"cf771962-12bf-4a20-92e9-071352ff10dd"] }, Open ]], Cell[BoxData[ FractionBox[ RowBox[{"2", "+", SuperscriptBox["\[Gamma]12", "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{"-", SuperscriptBox["\[Gamma]12", "2"]}], ")"}], RowBox[{"3", "/", "2"}]]}], RowBox[{"2", " ", RowBox[{"(", RowBox[{"1", "+", SuperscriptBox["\[Gamma]12", "2"]}], ")"}]}]]], "Input",ExpressionUUID->\ "66161722-4cc0-488e-8a50-d58cc12d7fb6"], Cell[BoxData[ RowBox[{"Inverse", "["}]], "Input", CellChangeTimes->{{3.770356105152774*^9, 3.770356110904348*^9}},ExpressionUUID->"af723c0f-20e9-4738-b67e-\ 3c687014e15c"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{ FractionBox["1", "10"], " ", RowBox[{"(", RowBox[{"4", "+", "\[Rho]", "-", RowBox[{"2", " ", SqrtBox[ RowBox[{"4", "+", RowBox[{"2", " ", "\[Rho]"}], "-", SuperscriptBox["\[Rho]", "2"]}]]}]}], ")"}]}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.7703560778581944`*^9, 3.7703560843827333`*^9}, { 3.770356134032835*^9, 3.770356142899762*^9}}, CellLabel-> "In[300]:=",ExpressionUUID->"0fe4e8f1-8656-4973-8449-67de46de2675"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwtVAk0VP0bHmsju7SMNUIpTVMmSdxXCSUqSySaiEwk8ZHQVyhTKUI0GLKN pbl2Bln68oU6lZEslSWkya7JF0kL/59z/vece+55zvM+z/u87++en8bpC3Zn hAkEwgP0Ln+tzoy9aRw/hhH+/4iaKfkPkqjAa22NcTbdjelnpqRXkvYD3csr wxecMb6KVuQlncPASk09mOPlix3ivat4QHJYrpczxEIxrRjVvCV15+V6I8qj 69hvK49kdx0aIOsAnmcMNhHV1ezOdEc44vd5u0TMyXP+8T2S57JeXtM4FWs2 U6ppSvdaxpqXBJkYZYNJ2ay6N8LWJZRqNpYu7MbRZp9b5oN9egow4vC1HEcd P6DqB4p4uBdhdUMdvCYHf5Svx2BlQRnmf9TTypUZsNz/bMORSuzDtptmsaQg xJOCNQxrsaTMdY3aLheRn55/26UGzEoWN/4nPXg53/oX40+w6i+tOwXqoah+ YcamognzpdEqbrqHofl0pGqqWzDNNgF5Pfsy4ms193Y9x+4WK2yy1bmKsK53 xYlWzFw1N3ecHr7MFzKb2rCrz1hy/zpEgL6+JPFVTjtGNdCLdWZGon4UfX+r Tixr9ZEbt0lRKE+uoQmlB7vMS252rIta9gta8aIXc2QMCW9wYaB5N/g6+/Vj UnMB4fXpNxDP4SQMDGIhXUkhU+rRyK+fkYl/wuxjPlQ/aoxG9fbnSRw+Rt6v Mxflfhv58627ij9j/MqaAFX2HTRP2DXJl6OYbWKvz2Gdu8hPouSizRSmd2gD R+n53eX9Gk9fmcaIIr6jI/Q4hEeHcrhfsFO1i+VPHOJRvfRVD9ZXbLVuPPk4 MwH5GxrOwjcskli5MZqUhHDD6qz1C9hmy4RbFf5JKJ+aRN+vBayDcWG87/ky v6buce9PTEtEr5AcfB/lkTofyv6NPfuTS+7qYKL6ex/dKQSQ+sbcqR6Tivr5 9Rqai0LV9ovMA59Skb6vRrxdFGj+9vMBRiyEpQryXcWgdFq2tnmMhfwMD7he Fge7sVvGPubpSH/4YlobEVI+hJlVLWYgfl300VZp2KvinDtwLBPp2Zo7gmRg 4sQuMWJxJuJdxPmqsqA2FepRvDUL6CMJqq575OCCt4E2oT8L9CsTsmUz5UHB s/RhnmEO8KztEkcTFOG4c3bp15lclP+43IKWMgj6HFbmKOUh/mqB7V1luEEj nrE3ywNCxBO1wB/KUOlxQak6KQ+olUkRcq9VQMbPhHF5Vz6wSNLvKhlq0HKt 54T4lQL0/wxEHJTSgB1F8uIqRBx4Ui25Oya04AW5xY1HwYHQaKF+eos2uJWH 1F91Rti00WnOVxtiqwf9P+I4sJxTpyxmtGGssbgv36YQeDFyUsxFHcjoPli+ PbEIqN8yHQe36ILkUqSrpVopyiM0M9++FVK8nWh6FqVoP9yP0qpk0OrSc5P3 Q3ygksR1bzJgnHcefY8R1ueO3hbZBrUcZlUNuQztZ9MWohoFpu2nGg61laF5 Wp4Fn9oOxx4mvwqUrkDnIak0KkaF9JPXrL00KtC+FtOGtlNhWOE87/jOCpRv /qwEjQoXrux7bXKyAvVT6B2rpkK03XTHimLEF0V0DvjshMe/9/WmWVcCXefc Qm6fAWjbfhlrusNF+xHquTW0G5TCLY3o2Vw0370N7DVGIFecdWdlDeL1ampm rY3gJ9GebDvMRfojZSZ1RtDeWBM4YFiF6iVjvJL3QBglcvHH5yrg+UoZybua QJusoiLZtAZ4ri4hJ26awqW23ZAyW4v0hZ3mMftBhlz1+QWxDghliYOThfsh N5YS80sF4aFunPNqP7yx3thDM68D+ndmmK+kOWx5pRiozUQ8weuDTIw5DD4X 5Ffsqgc6k8tuSbAAy3/zZHhhDcDyftXzX8kBWMuVHxASegK8/sFWCYoNVA+b tb42forOp9v0iJIDPPV5oOw81QzU6/XdUY4nYE7HRLb4/HPQv7NqYHWAGwgv FMopa78EQpAMz+i0JxgsuVXbl7QCvW6yruX8WWiNorY92/wa6LdL+pLrfUE9 fnKB86UdWGLXFWM/+cPk/OBAN6UDeEE/oqt8AiF3ov6lzN1O4HFLjpw8Hgwy qgUCPr8LCCqxTolnQyHGu8orS+st8PL/BGT7/Q3fTQv5Z8PfAc9t7ZQjPxyC djRz1zS9B7oKiSKcFwmDJc133mj0Au/b8KJ34nX45dOVphvWB9T5OC+NeAZs 2bti0au+H6gp36Xcw2+CZY4GvXztANB3+K3ilkTDJdVTmh9dB4EQ6LbuJe8O 6E0dk3xnMwSEw/xx9lwsrJL9Smz+OQQ8hdnIeUo8iD5JK92Q/hEqVVwawlwT 4By1vkfi0DCwFIdcxYvuQeHB01n/fB+GiBP7VgUQkmBuUkluhPkJqD+kPWst 70OVvaVI0n4+UI3uNkAVE8IPMDK5Iwj/vv+SppgCGh+s3rMZn4FuI1zUcTEV jHZFJZF2jMBosdg8vsQCV7XXC0KdI0Dv7v7VEpIOcy9jh/0jR4FqTL4grZIB KaK0IDutMSB83MSmoXtp1UBVjnDzGNjMUuf/ZGaB2JVIh90B41Cp7MUPDs8G AodWOqwwAd8Mmv06HHLgL1ZprMLTCeCW9Iwa72XD4y23iPJ+k9ArJUVnkXNB 3uovvWsyUyAdMplcLZcH/VvbO0MbpoBXbmrxZ2U+lGWAFp82DRttx2f8FvLh ZKmBvOriNBTs27i6aLQAIhjZkf34FyCUF/B1BQ+heEw1TcZaAL2bpvc8HufA rQcMt4HDAjDlzPjofOGAp920domtAOhGYbNx/3FApaGhzMZJAEE6a9d6/uLA 7TiXZzGnBbDx9BWWnDQOZw1SZ1aGCqCgeCQ1DN1zmlGKB1bkI/2z9LB7l3BY NPxb+t1D1K/mx4L43zj0TH/qyC9EfmZvOy9H4BDvVHnSolwANt9XJ3tF47C0 2S6Q0YBweL6LaRoO/W/iMkQ6BRCrIfJB9AkOj27Me3R2C4CbHSga3oRD0p5T uuz3CGucubHwHIdDeWTuvgEBREi8ShW041AXwnsROS4A6lj24uAwDsytO+Ns pwTA6iL9dB3FIWA43UFDIADpdIWjvZM4bLL2HWycRfsovyH5dhYHUaGu3Ph5 AYz+FApwWMBhqGqPj9tP5Ld2kdL5B4cGH/Y2yh+kF7t8yE64EJLVJeeWlgTQ 2BTS+Ea8EP4HGxOmzg== "]]}, Annotation[#, "Charting`Private`Tag$2391302#1"]& ]}, {}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, Charting`ScaledFrameTicks[{Identity, Identity}]}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 1}, {0., 0.05278640245922572}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.770356084792018*^9, {3.770356134544322*^9, 3.770356143511516*^9}}, CellLabel-> "Out[300]=",ExpressionUUID->"9ffec83b-d0f8-423f-a1e2-ae43ef4e1d2b"] }, Open ]], Cell[BoxData[{ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", " ", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", RowBox[{"1", "/", "3"}]}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "5"}]}]}], "}"}]}], ",", "r"}], "]"}], "//", "N"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"2", " ", "t", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"Cot", "[", "\[Theta]", "]"}], "-", RowBox[{"Csc", "[", "\[Theta]", "]"}]}], ")"}], " ", SqrtBox[ RowBox[{"\[Rho]", " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{"Sec", "[", "\[Theta]", "]"}]}], ")"}]}]], " ", SqrtBox[ RowBox[{"1", "-", RowBox[{"\[Rho]", " ", RowBox[{"Sec", "[", "\[Theta]", "]"}]}]}]]}], "+", RowBox[{"2", " ", "t", " ", "u", " ", "\[Rho]", " ", RowBox[{"Sec", "[", "\[Theta]", "]"}]}]}], "/.", RowBox[{"{", RowBox[{ RowBox[{"t", "\[Rule]", RowBox[{"1", "/", "3"}]}], ",", RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "5"}]}]}], "}"}]}], ",", "\[Theta]"}], "]"}], "//", "N"}]}], "Input", CellChangeTimes->{{3.7698577222036953`*^9, 3.769857728371703*^9}, { 3.769857812579679*^9, 3.769857817293008*^9}, 3.76985792688951*^9, { 3.7698583766911488`*^9, 3.7698583836476297`*^9}, {3.769859625740506*^9, 3.7698596308162193`*^9}, {3.769859788906003*^9, 3.769859866884253*^9}, { 3.770128595201679*^9, 3.770128667646657*^9}, {3.77012874866327*^9, 3.770128751176725*^9}, {3.7701288213382*^9, 3.7701288996980133`*^9}, { 3.770129854949966*^9, 3.770129882912075*^9}, {3.770129914133232*^9, 3.770129921473894*^9}}, CellLabel-> "In[103]:=",ExpressionUUID->"3079dade-4212-4852-ae2e-a66f9705c255"], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{"P", "[", RowBox[{"u_", ",", "\[Rho]_", ",", "g_"}], "]"}], ":=", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], RowBox[{ SuperscriptBox["g", "6"], "/", "4"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox["g", "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox["g", "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "g"}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}]}], ";"}]], "Input", CellChangeTimes->{{3.769749074538455*^9, 3.7697491466002913`*^9}, { 3.769749182137764*^9, 3.769749202368525*^9}, {3.769749628430831*^9, 3.769749633965741*^9}, 3.7697504193282146`*^9, {3.7697940950168333`*^9, 3.7697941046920424`*^9}}, CellLabel->"In[20]:=",ExpressionUUID->"47098eaa-c301-497b-b033-5a7d8a32dcbc"], Cell[BoxData[ RowBox[{ RowBox[{"r", "[", RowBox[{"u_", ",", "\[Rho]_"}], "]"}], ":=", RowBox[{"g", "/.", RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{"P", "[", RowBox[{"u", ",", "\[Rho]", ",", "g"}], "]"}], "==", "0"}], ",", "g"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.7697925903529882`*^9, 3.769792637199944*^9}, { 3.769794120379509*^9, 3.769794121684064*^9}, {3.7698414051648397`*^9, 3.769841410850704*^9}, {3.769841444403775*^9, 3.769841464322302*^9}}, CellLabel->"In[21]:=",ExpressionUUID->"5ee6ce72-ef44-4e03-bc52-4c70b4bc001b"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{"r", "[", RowBox[{"u", ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", "4", "\[RightDoubleBracket]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "2"}]}]}], "}"}]}], "//", "N"}]], "Input", CellChangeTimes->{{3.769792711810236*^9, 3.769792712580525*^9}, { 3.769793258727881*^9, 3.769793264978808*^9}, {3.769841518723165*^9, 3.769841520801928*^9}}, CellLabel->"In[48]:=",ExpressionUUID->"bbd51da8-3e19-45cf-9e35-f657c5c0f246"], Cell[BoxData["0.8328488950734688`"], "Output", CellChangeTimes->{{3.769792709939661*^9, 3.7697927130894547`*^9}, { 3.7697932522289333`*^9, 3.769793266044853*^9}, 3.769793919800589*^9, 3.769794081086926*^9, 3.7698413256213207`*^9, {3.769841513902238*^9, 3.7698415211259737`*^9}, 3.76984166338842*^9}, CellLabel->"Out[48]=",ExpressionUUID->"c05e0271-9a11-4a60-b06e-8a53f9b4578b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"NSolve", "[", RowBox[{ RowBox[{"P", "[", RowBox[{"1", ",", "1", ",", "g"}], "]"}], "==", "0"}], "]"}]], "Input", CellChangeTimes->{{3.769793198144259*^9, 3.7697932194251204`*^9}, { 3.769793296944726*^9, 3.769793304173388*^9}, 3.769793869601375*^9, { 3.769794127075485*^9, 3.7697941296947536`*^9}}, CellLabel->"In[8]:=",ExpressionUUID->"21f0cbc8-757a-47b7-8eba-b91d42a2eccb"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{ RowBox[{"-", "0.3515775842541429`"}], "+", RowBox[{"0.43113551899421687`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{ RowBox[{"-", "0.3515775842541428`"}], "-", RowBox[{"0.4311355189942171`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.3515775842541429`", "\[VeryThinSpace]", "-", RowBox[{"1.568864481005783`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.351577584254143`", "\[VeryThinSpace]", "+", RowBox[{"1.568864481005783`", " ", "\[ImaginaryI]"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{ 3.769793220011045*^9, 3.76979325317179*^9, {3.769793299017099*^9, 3.769793304619994*^9}, 3.769793344185461*^9, {3.769793842771435*^9, 3.769793870016448*^9}, 3.769793921383347*^9, 3.769794082280046*^9, 3.769794130364052*^9, {3.769841326874785*^9, 3.769841343012429*^9}}, CellLabel->"Out[8]=",ExpressionUUID->"9ebf38b7-42bb-4c18-8900-1374ed6075e6"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{"P", "[", RowBox[{"u", ",", "\[Rho]", ",", "g"}], "]"}], "==", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", "1"}]}], "}"}]}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.7697937125596237`*^9, 3.769793761122312*^9}, { 3.769793844714628*^9, 3.7697938672014427`*^9}, {3.769841333189975*^9, 3.7698413349076853`*^9}}, CellLabel->"In[7]:=",ExpressionUUID->"dbd86984-b154-440f-baaf-9dec9e028893"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.`"}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{ RowBox[{"-", "0.351577584254143`"}], "-", RowBox[{"0.43113551899421687`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{ RowBox[{"-", "0.351577584254143`"}], "+", RowBox[{"0.43113551899421687`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.35157758425414287`", "\[VeryThinSpace]", "-", RowBox[{"1.5688644810057832`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.35157758425414287`", "\[VeryThinSpace]", "+", RowBox[{"1.5688644810057832`", " ", "\[ImaginaryI]"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.7697937131362743`*^9, 3.7697937621339397`*^9}, { 3.769793845951527*^9, 3.769793867595078*^9}, 3.769793922248815*^9, { 3.7698413278498163`*^9, 3.769841340631589*^9}}, CellLabel->"Out[7]=",ExpressionUUID->"8652c11a-3eda-4fd2-a291-f7fcf254f84b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"r", "\[LeftDoubleBracket]", "k", "\[RightDoubleBracket]"}], ",", RowBox[{"{", RowBox[{"k", ",", RowBox[{"Length", "[", "r", "]"}]}], "}"}]}], "]"}]], "Input", CellLabel->"In[3]:=",ExpressionUUID->"d5567f4c-535b-4bca-bed7-fde3f430be9a"], Cell[BoxData[ RowBox[{"{", "}"}]], "Output", CellChangeTimes->{3.769793950038518*^9}, CellLabel->"Out[3]=",ExpressionUUID->"7b0bd822-395c-4044-a842-551412d893fe"] }, Open ]], Cell[BoxData[""], "Input", CellChangeTimes->{ 3.769841385213715*^9},ExpressionUUID->"4cfff343-bf56-4574-9844-\ 7b63b34027fa"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"r", "[", RowBox[{"u", ",", "\[Rho]"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]], "Input", CellChangeTimes->{{3.769841437116569*^9, 3.7698414388345346`*^9}}, CellLabel->"In[21]:=",ExpressionUUID->"e29a9593-075b-41af-93c3-58e72e12f6b4"], Cell[BoxData[ RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"4", " ", SuperscriptBox["\[Rho]", "6"]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "8"}], " ", "u", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"8", " ", "u", " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", "#1"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "8"}], " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"4", " ", SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{"4", " ", SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}], " ", SuperscriptBox["#1", "2"]}], "+", RowBox[{"8", " ", "u", " ", SuperscriptBox["\[Rho]", "2"], " ", SuperscriptBox["#1", "3"]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "4"}], "+", RowBox[{"12", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"4", " ", SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "2"]}]}], ")"}], " ", SuperscriptBox["#1", "4"]}], "+", RowBox[{ RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}], " ", SuperscriptBox["#1", "6"]}]}], "&"}], ",", "1"}], "]"}]], "Output", CellChangeTimes->{{3.769841432938861*^9, 3.769841449428337*^9}}, CellLabel->"Out[21]=",ExpressionUUID->"aec9885d-6c9a-45f4-8d31-063fb57b5dad"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Table", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "t", SqrtBox[ RowBox[{"1", "-", "r"}]], " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"r", "+", "\[Rho]"}]], "+", SqrtBox[ RowBox[{"r", "-", "\[Rho]"}]]}], ")"}]}], "+", RowBox[{"2", " ", "r", " ", "t", " ", "u"}]}], "/.", RowBox[{"t", "\[Rule]", "1"}]}], ",", "r"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"u", ",", "1", ",", "2", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "1", ",", "2", ",", "1"}], "}"}]}], "]"}]], "Input",\ CellChangeTimes->{{3.769964107429474*^9, 3.769964153460167*^9}}, CellLabel->"In[4]:=",ExpressionUUID->"a9e1165e-ea73-471a-afe0-3a84e1232b54"], Cell[BoxData["$Aborted"], "Output", CellChangeTimes->{3.769964140265679*^9, 3.769964177310896*^9}, CellLabel->"Out[4]=",ExpressionUUID->"958485bb-951b-4482-a938-f224b921020d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{"t", "=", "1"}], "}"}], ",", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"u", ",", "\[Rho]", ",", RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ RowBox[{"2", " ", SuperscriptBox["q", "2"], " ", "t", " ", "u"}], "-", RowBox[{"2", " ", "q", " ", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["q", "2"]}]], " ", "t", " ", RowBox[{"(", RowBox[{ SqrtBox[ RowBox[{"1", "-", FractionBox["\[Rho]", SuperscriptBox["q", "2"]]}]], "+", SqrtBox[ RowBox[{"1", "+", FractionBox["\[Rho]", SuperscriptBox["q", "2"]]}]]}], ")"}]}]}], ",", "q"}], "]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"u", ",", "1", ",", "2", ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "1", ",", "2", ",", "1"}], "}"}]}], "]"}]}], "]"}]], "Input", CellChangeTimes->{{3.769847641673624*^9, 3.769847676458802*^9}}, CellLabel->"In[22]:=",ExpressionUUID->"3df0cd8e-7ba8-4531-8fe7-2d29ae372127"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1", ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"1", ",", "2", ",", "\[Infinity]"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"2", ",", "1", ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"2", ",", "2", ",", "\[Infinity]"}], "}"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.769847641111518*^9, 3.7698476772886543`*^9}}, CellLabel->"Out[22]=",ExpressionUUID->"3dfc2c77-e5bb-4f67-b27d-419ab9e57a6c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ListPlot3D", "[", RowBox[{",", RowBox[{"ImageSize", "\[Rule]", "800"}]}], "]"}]], "Input", CellChangeTimes->{{3.769792640621706*^9, 3.7697926493596067`*^9}, { 3.769792690770544*^9, 3.769792727123399*^9}, {3.769792774917027*^9, 3.7697928673720293`*^9}, {3.769792909019096*^9, 3.769793072562764*^9}, { 3.769793111005632*^9, 3.7697931447941732`*^9}, {3.76979318180264*^9, 3.769793183367679*^9}, 3.769793945210142*^9, {3.769794140210774*^9, 3.769794142399776*^9}, {3.769841376727005*^9, 3.7698413870056562`*^9}, { 3.7698414234764338`*^9, 3.769841425418851*^9}, {3.7698414792203693`*^9, 3.769841502411181*^9}, {3.769841533523394*^9, 3.7698416314346247`*^9}, { 3.7698476215977488`*^9, 3.7698476308207893`*^9}},ExpressionUUID->"dc644195-e9ad-41a5-b086-\ 7ed1f2b37bf9"], Cell[BoxData[ Graphics3DBox[{{}, {}}, Axes->True, AxesLabel->{None, None, None}, BoxRatios->{1, 1, 0.4}, DisplayFunction->Identity, FaceGridsStyle->Automatic, ImageSize->800, Method->{"DefaultBoundaryStyle" -> Directive[ GrayLevel[0.3]], "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "RotationControl" -> "Globe"}, PlotRange->{Full, Full, All}, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic, Automatic}]], "Output", CellChangeTimes->{{3.769841574696342*^9, 3.769841632210881*^9}}, CellLabel->"Out[39]=",ExpressionUUID->"e0bdb352-1e77-4290-9645-c811b5f572e3"] }, Open ]], Cell[BoxData[ RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"r", "\[LeftDoubleBracket]", "k", "\[RightDoubleBracket]"}], ",", RowBox[{"{", RowBox[{"k", ",", RowBox[{"Length", "[", "r", "]"}]}], "}"}]}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"u", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", RowBox[{"-", "5"}], ",", "5"}], "}"}], ",", RowBox[{"ImageSize", "\[Rule]", "500"}], ",", RowBox[{"AspectRatio", "\[Rule]", RowBox[{"{", RowBox[{"1", ",", "1"}], "}"}]}]}], "]"}]], "Input",ExpressionUUID->\ "4865a237-ef93-4783-aead-69d82a6d8af1"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Minimize", "[", RowBox[{ RowBox[{ SubscriptBox["f", RowBox[{"1", ",", "1", ",", RowBox[{"1", "/", "2"}]}]], "[", "g", "]"}], ",", "g"}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.7697499413957043`*^9, 3.7697499610915823`*^9}, { 3.769750012947307*^9, 3.769750019083115*^9}, {3.769750074051838*^9, 3.769750108603065*^9}, {3.769750159450975*^9, 3.7697501861049023`*^9}, { 3.769750318802202*^9, 3.769750320095459*^9}, {3.769750360961224*^9, 3.769750371624485*^9}, {3.769751649046699*^9, 3.769751650605627*^9}}, CellLabel->"In[25]:=",ExpressionUUID->"c7b8fdea-8583-478d-be12-78036f368150"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.5752766836983292`"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.8328488950734688`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.769749948712681*^9, 3.7697499617703743`*^9}, { 3.769750064520186*^9, 3.769750109383935*^9}, {3.769750159923346*^9, 3.7697501868957043`*^9}, 3.769750320603259*^9, {3.769750361883934*^9, 3.769750372422509*^9}, {3.76975164485275*^9, 3.769751651352551*^9}, 3.769791683042017*^9, 3.769843780725547*^9, 3.769847039301456*^9, 3.769857853235078*^9, 3.770128796219039*^9}, CellLabel->"Out[25]=",ExpressionUUID->"52dfe59a-f65f-4f83-9b10-b89ab24d5da8"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"NSolve", "[", RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"1", ",", RowBox[{"1", "/", "2"}]}]], "[", "g", "]"}], "\[Equal]", "0"}], "]"}], "\[IndentingNewLine]", RowBox[{"NSolve", "[", RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"1", ",", RowBox[{"1", "/", "2"}]}]], "[", "g", "]"}], ",", "g"}], "]"}], "\[Equal]", "0"}], "]"}], "\[IndentingNewLine]", RowBox[{"NSolve", "[", RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"1", ",", RowBox[{"1", "/", "2"}]}]], "[", "g", "]"}], ",", "g", ",", "g"}], "]"}], "\[Equal]", "0"}], "]"}], "\[IndentingNewLine]", RowBox[{"NSolve", "[", RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"1", ",", RowBox[{"1", "/", "2"}]}]], "[", "g", "]"}], ",", "g", ",", "g", ",", "g"}], "]"}], "\[Equal]", "0"}], "]"}]}], "Input", CellChangeTimes->{{3.769751418319653*^9, 3.769751458366938*^9}, { 3.769751578576105*^9, 3.7697515826781683`*^9}, {3.7697517117912607`*^9, 3.76975171504522*^9}, {3.769752008508903*^9, 3.769752014779024*^9}, 3.769791672384102*^9}, CellLabel->"In[62]:=",ExpressionUUID->"d6befea5-edd3-4a4c-a262-c461a1809b1d"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.7954035498236839`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.37846502430466705`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.17000816205561733`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.2555139205552498`", "\[VeryThinSpace]", "-", RowBox[{"0.9025013479435103`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.2555139205552498`", "\[VeryThinSpace]", "+", RowBox[{"0.9025013479435103`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.8328488950734688`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.7697514247063007`*^9, 3.769751458726712*^9}, 3.769751614229424*^9, 3.769751715424708*^9, 3.769752015142362*^9, { 3.769791675896721*^9, 3.769791683539646*^9}, 3.769793280360806*^9}, CellLabel->"Out[62]=",ExpressionUUID->"030b0933-0c61-4f3e-8df7-7c22766d3e8f"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.6597943962137325`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.2739806373768705`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.18120716959283995`", "\[VeryThinSpace]", "-", RowBox[{"0.6717585707183245`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.18120716959283995`", "\[VeryThinSpace]", "+", RowBox[{"0.6717585707183245`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.571360694404923`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.7697514247063007`*^9, 3.769751458726712*^9}, 3.769751614229424*^9, 3.769751715424708*^9, 3.769752015142362*^9, { 3.769791675896721*^9, 3.769791683539646*^9}, 3.769793280379157*^9}, CellLabel->"Out[63]=",ExpressionUUID->"9b51bc86-44cd-4bff-9dea-ef533f7d8eab"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.5095880907034771`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.12057780007384578`", "\[VeryThinSpace]", "-", RowBox[{"0.4247434731188307`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.12057780007384578`", "\[VeryThinSpace]", "+", RowBox[{"0.4247434731188307`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.2684324905557855`"}], "}"}]}], "}"}]], "Output",\ CellChangeTimes->{{3.7697514247063007`*^9, 3.769751458726712*^9}, 3.769751614229424*^9, 3.769751715424708*^9, 3.769752015142362*^9, { 3.769791675896721*^9, 3.769791683539646*^9}, 3.769793280390409*^9}, CellLabel->"Out[64]=",ExpressionUUID->"17f5ebd7-c3c1-4b27-bfe2-971d0c3c7137"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.2714417616594907`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.13572088082974534`", "\[VeryThinSpace]", "-", RowBox[{"0.23507546124511974`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.13572088082974534`", "\[VeryThinSpace]", "+", RowBox[{"0.23507546124511974`", " ", "\[ImaginaryI]"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.7697514247063007`*^9, 3.769751458726712*^9}, 3.769751614229424*^9, 3.769751715424708*^9, 3.769752015142362*^9, { 3.769791675896721*^9, 3.769791683539646*^9}, 3.7697932804008007`*^9}, CellLabel->"Out[65]=",ExpressionUUID->"dbe18b9b-9644-437c-8dc1-5d84490bcb0b"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"u", ",", "\[Rho]"}]], "[", "g", "]"}], "-", RowBox[{ RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["x", "2"]}], ")"}], RowBox[{"(", RowBox[{ RowBox[{"a", " ", SuperscriptBox["g", "4"]}], "+", RowBox[{"b", " ", SuperscriptBox["g", "3"]}], "+", RowBox[{"c", " ", SuperscriptBox["g", "2"]}], "+", RowBox[{"d", " ", "g"}], "+", "e"}], ")"}]}]}], "//", "Expand"}], ",", "g"}], "]"}]], "Input", CellLabel->"In[21]:=",ExpressionUUID->"6da217c3-be12-4aac-b6a6-9a483285b02f"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "e"}], " ", SuperscriptBox["x", "2"]}], "-", SuperscriptBox["\[Rho]", "4"], "+", SuperscriptBox["\[Rho]", "6"]}], ",", RowBox[{ RowBox[{ RowBox[{"-", "d"}], " ", SuperscriptBox["x", "2"]}], "-", RowBox[{"2", " ", "u", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"2", " ", "u", " ", SuperscriptBox["\[Rho]", "4"]}]}], ",", RowBox[{ RowBox[{"-", "e"}], "-", RowBox[{"c", " ", SuperscriptBox["x", "2"]}], "-", RowBox[{"2", " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{ SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"3", " ", SuperscriptBox["\[Rho]", "4"]}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "4"]}]}], ",", RowBox[{ RowBox[{"-", "d"}], "-", RowBox[{"b", " ", SuperscriptBox["x", "2"]}], "+", RowBox[{"2", " ", "u", " ", SuperscriptBox["\[Rho]", "2"]}]}], ",", RowBox[{ RowBox[{"-", "1"}], "-", "c", "-", RowBox[{"a", " ", SuperscriptBox["x", "2"]}], "+", RowBox[{"3", " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", SuperscriptBox["\[Rho]", "2"]}]}], ",", RowBox[{"-", "b"}], ",", RowBox[{"1", "-", "a", "+", FractionBox[ SuperscriptBox["u", "2"], "4"]}]}], "}"}]], "Output", CellChangeTimes->{3.7697918174797487`*^9}, CellLabel->"Out[21]=",ExpressionUUID->"6c80b8bf-c8f4-4e8f-8960-0f7574dccd92"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{"CoefficientList", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"u", ",", "\[Rho]"}]], "[", "g", "]"}], "-", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SubscriptBox["a", "1"], " ", SuperscriptBox["g", "3"]}], "+", RowBox[{ SubscriptBox["a", "2"], " ", SuperscriptBox["g", "2"]}], "+", RowBox[{ SubscriptBox["a", "3"], " ", "g"}], " ", "+", SubscriptBox["a", "3"]}], ")"}], RowBox[{"(", RowBox[{ RowBox[{ SubscriptBox["b", "1"], " ", SuperscriptBox["g", "3"]}], "+", RowBox[{ SubscriptBox["b", "2"], " ", SuperscriptBox["g", "2"]}], "+", " ", RowBox[{ SubscriptBox["b", "3"], "g"}], "+", " ", SubscriptBox["b", "4"]}], ")"}]}]}], "//", "Expand"}], ",", "g"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{"{", RowBox[{ SubscriptBox["b", "1"], ",", "a", ",", "b", ",", "c", ",", "d", ",", "e"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.769791696367091*^9, 3.769791813124956*^9}, { 3.769791845369442*^9, 3.769791856813035*^9}, {3.7697920048238983`*^9, 3.769792046505773*^9}},ExpressionUUID->"6c8e6feb-f184-4467-93cf-\ b867476110e9"], Cell[BoxData[ RowBox[{"{", "}"}]], "Output", CellChangeTimes->{{3.769791752356474*^9, 3.769791813629053*^9}}, CellLabel->"Out[20]=",ExpressionUUID->"1439c8a1-d279-41bf-933d-49d1554bd64c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"FullSimplify", "[", RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"u", ",", "\[Rho]"}]], "[", "g", "]"}], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{"1", "+", SuperscriptBox[ RowBox[{"(", FractionBox["u", "2"], ")"}], "2"]}], ")"}], SuperscriptBox["g", "6"]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}], "-", "1"}], ")"}], SuperscriptBox["g", "4"]}], "+", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], SuperscriptBox["g", "3"]}], "+", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"2", "+", SuperscriptBox["u", "2"]}], ")"}], SuperscriptBox["g", "2"]}], "-", RowBox[{"2", "u", " ", SuperscriptBox["\[Rho]", "2"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}], "g"}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}]}], "]"}]], "Input", CellChangeTimes->{{3.7697504225944*^9, 3.7697505289662743`*^9}, { 3.769750565528165*^9, 3.76975066429338*^9}, 3.7697509962840433`*^9, { 3.769751300914822*^9, 3.769751307179183*^9}, {3.769754019606031*^9, 3.769754039500619*^9}, {3.769754137612887*^9, 3.769754172452591*^9}}, CellLabel-> "In[173]:=",ExpressionUUID->"83b87e30-a54f-4a86-9434-07541284cc2f"], Cell[BoxData["True"], "Output", CellChangeTimes->{{3.769750443362281*^9, 3.769750529333398*^9}, { 3.7697505700685053`*^9, 3.7697506648980713`*^9}, {3.769750986403057*^9, 3.7697509987099247`*^9}, 3.7697510791058893`*^9, {3.769751303523016*^9, 3.769751308095502*^9}, 3.769754041038148*^9, {3.769754162467993*^9, 3.769754174115981*^9}}, CellLabel-> "Out[173]=",ExpressionUUID->"c699681a-7408-4f25-b637-7a3f764c7371"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Solve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ SuperscriptBox["r", "2"], "\[Equal]", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}]}], ",", RowBox[{"R", "\[Equal]", RowBox[{"g", " ", "\[Rho]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"\[Rho]", ",", "g"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.7697524488079023`*^9, 3.769752499649335*^9}, { 3.7697525599044743`*^9, 3.769752560118855*^9}}, CellLabel-> "In[159]:=",ExpressionUUID->"eec8d853-025d-45f9-9d74-d509511b7377"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"\[Rho]", "\[Rule]", RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "-", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]], SqrtBox["2"]]}]}], ",", RowBox[{"g", "\[Rule]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", SqrtBox["2"]}], " ", SuperscriptBox["r", "2"], " ", SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "-", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]]}], "+", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["r", "2"], "-", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}], ")"}], RowBox[{"3", "/", "2"}]], SqrtBox["2"]]}], RowBox[{"2", " ", "R"}]]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"\[Rho]", "\[Rule]", FractionBox[ SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "-", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]], SqrtBox["2"]]}], ",", RowBox[{"g", "\[Rule]", FractionBox[ RowBox[{ RowBox[{"2", " ", SqrtBox["2"], " ", SuperscriptBox["r", "2"], " ", SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "-", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]]}], "-", RowBox[{ SqrtBox["2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["r", "2"], "-", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}], ")"}], RowBox[{"3", "/", "2"}]]}]}], RowBox[{"4", " ", "R"}]]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"\[Rho]", "\[Rule]", RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "+", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]], SqrtBox["2"]]}]}], ",", RowBox[{"g", "\[Rule]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"-", SqrtBox["2"]}], " ", SuperscriptBox["r", "2"], " ", SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "+", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]]}], "+", FractionBox[ SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["r", "2"], "+", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}], ")"}], RowBox[{"3", "/", "2"}]], SqrtBox["2"]]}], RowBox[{"2", " ", "R"}]]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"\[Rho]", "\[Rule]", FractionBox[ SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "+", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]], SqrtBox["2"]]}], ",", RowBox[{"g", "\[Rule]", FractionBox[ RowBox[{ RowBox[{"2", " ", SqrtBox["2"], " ", SuperscriptBox["r", "2"], " ", SqrtBox[ RowBox[{ SuperscriptBox["r", "2"], "+", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}]]}], "-", RowBox[{ SqrtBox["2"], " ", SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["r", "2"], "+", SqrtBox[ RowBox[{ SuperscriptBox["r", "4"], "-", RowBox[{"4", " ", SuperscriptBox["R", "2"]}]}]]}], ")"}], RowBox[{"3", "/", "2"}]]}]}], RowBox[{"4", " ", "R"}]]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.769752481500514*^9, 3.769752500180037*^9}, 3.769752560549706*^9}, CellLabel-> "Out[159]=",ExpressionUUID->"8d3e1778-b488-4a34-9fb4-515a7499454c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]], "/.", RowBox[{"{", RowBox[{ RowBox[{"\[Rho]", "\[Rule]", RowBox[{"r", " ", RowBox[{"Cos", "[", "\[Theta]", "]"}]}]}], ",", RowBox[{"g", "\[Rule]", RowBox[{"r", " ", RowBox[{"Sin", "[", "\[Theta]", "]"}]}]}]}], "}"}]}], "//", "FullSimplify"}]], "Input", CellChangeTimes->{{3.769752447080559*^9, 3.769752447545535*^9}, { 3.7697524905372963`*^9, 3.769752506754842*^9}, {3.769752600185113*^9, 3.7697526762783957`*^9}}, CellLabel-> "In[166]:=",ExpressionUUID->"c76b6a7a-70f4-40fa-a1f2-1f854dfe6c23"], Cell[BoxData[ RowBox[{ FractionBox["1", "4"], " ", RowBox[{"(", RowBox[{"3", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["r", "2"]}]], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["r", "2"]}]]}], ")"}], " ", RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Theta]"}], "]"}]}]}], ")"}]}]], "Output", CellChangeTimes->{{3.769752493503448*^9, 3.769752507543591*^9}, { 3.769752609593133*^9, 3.769752677197219*^9}}, CellLabel-> "Out[166]=",ExpressionUUID->"5c2c80b4-64a0-4298-bbc9-0e8fd7f6f7eb"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ SubscriptBox["h", "\[Rho]_"], "[", "g_", "]"}], ":=", FractionBox[ RowBox[{ RowBox[{ SuperscriptBox["g", "2"], RowBox[{"(", RowBox[{"1", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["g", "2"], "-", SuperscriptBox["\[Rho]", "2"]}]]}], ")"}]}], "+", RowBox[{"2", SuperscriptBox["\[Rho]", "2"]}]}], RowBox[{"2", RowBox[{"(", RowBox[{ SuperscriptBox["g", "2"], "+", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]]}], ";", RowBox[{ RowBox[{ SubscriptBox["H", "\[Theta]_"], "[", "r_", "]"}], ":=", RowBox[{ FractionBox["1", "4"], " ", RowBox[{"(", RowBox[{"3", "-", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["r", "2"]}]], "+", RowBox[{ RowBox[{"(", RowBox[{"1", "+", SqrtBox[ RowBox[{"1", "-", SuperscriptBox["r", "2"]}]]}], ")"}], " ", RowBox[{"Cos", "[", RowBox[{"2", " ", "\[Theta]"}], "]"}]}]}], ")"}]}]}], ";"}]], "Input",\ CellChangeTimes->{{3.769752428600481*^9, 3.7697524392239323`*^9}, { 3.769752696350314*^9, 3.7697527045510902`*^9}}, CellLabel-> "In[167]:=",ExpressionUUID->"7222bf2c-99a8-48c5-a253-94a761d6d205"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ SubscriptBox["H", "\[Theta]"], "[", "r", "]"}], ",", "r"}], "]"}], "-", FractionBox["1", "u"]}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "2"}]}]}], "}"}]}], ",", "g"}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{ 3.7697527111741343`*^9, {3.7697527710959806`*^9, 3.7697527757651367`*^9}}, CellLabel-> "In[169]:=",ExpressionUUID->"21289cbb-d33a-423c-8324-5de1e3653ad6"], Cell[BoxData[ RowBox[{"{", "}"}]], "Output", CellChangeTimes->{3.7697527153126717`*^9, 3.7697527773169107`*^9}, CellLabel-> "Out[169]=",ExpressionUUID->"1dd7c7da-19e3-4861-9c1f-a62900eeb174"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ SubscriptBox["h", "\[Rho]"], "[", "g", "]"}], ",", "g"}], "]"}], "-", FractionBox["1", "u"]}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "2"}]}]}], "}"}]}], ",", "g"}], "]"}], "//", "N"}]], "Input", CellChangeTimes->{{3.7697507868049383`*^9, 3.769750825244507*^9}, { 3.769750900501114*^9, 3.7697509307230997`*^9}, 3.769752406681958*^9}, CellLabel-> "In[154]:=",ExpressionUUID->"8a64287a-7458-4b8c-ad58-d65854a5b228"], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.37846502430466716`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"-", "0.17000816205561733`"}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", "0.8328488950734688`"}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.25551392055524985`", "\[VeryThinSpace]", "-", RowBox[{"0.9025013479435102`", " ", "\[ImaginaryI]"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"g", "\[Rule]", RowBox[{"0.25551392055524985`", "\[VeryThinSpace]", "+", RowBox[{"0.9025013479435102`", " ", "\[ImaginaryI]"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{{3.7697507898308363`*^9, 3.7697508258030367`*^9}, { 3.769750916826145*^9, 3.769750931146068*^9}, 3.769752377392754*^9}, CellLabel-> "Out[154]=",ExpressionUUID->"e8a5d5a3-ea35-4e73-8da9-79c568f43648"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"Solve", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"D", "[", RowBox[{ RowBox[{ SubscriptBox["h", "\[Rho]"], "[", "g", "]"}], ",", "g"}], "]"}], "-", FractionBox["1", "u"]}], "\[Equal]", "0"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"u", "\[Rule]", "1"}], ",", RowBox[{"\[Rho]", "\[Rule]", RowBox[{"1", "/", "2"}]}]}], "}"}]}], ",", "g"}], "]"}], "//", "N"}]], "Input",ExpressionUUID->"bcd94a8a-7897-48bd-9455-37da54478ae6"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"Collect", "[", RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"u", ",", "\[Rho]"}]], "[", "g", "]"}], ",", "u"}], "]"}], "\[IndentingNewLine]", RowBox[{"Collect", "[", RowBox[{ RowBox[{ SubscriptBox["P", RowBox[{"u", ",", "\[Rho]"}]], "[", "g", "]"}], ",", "\[Rho]"}], "]"}]}], "Input", CellChangeTimes->{{3.76975132003237*^9, 3.76975133799391*^9}}, CellLabel->"In[84]:=",ExpressionUUID->"a36f76f4-68fa-4561-8df8-bd6e20b1c0be"], Cell[BoxData[ RowBox[{ RowBox[{"-", SuperscriptBox["g", "4"]}], "+", SuperscriptBox["g", "6"], "-", RowBox[{"2", " ", SuperscriptBox["g", "2"], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"3", " ", SuperscriptBox["g", "4"], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{"3", " ", SuperscriptBox["g", "2"], " ", SuperscriptBox["\[Rho]", "4"]}], "-", RowBox[{ SuperscriptBox["\[Rho]", "4"], " ", RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}], "+", RowBox[{ SuperscriptBox["u", "2"], " ", RowBox[{"(", RowBox[{ FractionBox[ SuperscriptBox["g", "6"], "4"], "-", RowBox[{ SuperscriptBox["g", "2"], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{ SuperscriptBox["g", "4"], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{ SuperscriptBox["g", "2"], " ", SuperscriptBox["\[Rho]", "4"]}]}], ")"}]}], "+", RowBox[{"u", " ", RowBox[{"(", RowBox[{ RowBox[{"2", " ", SuperscriptBox["g", "3"], " ", SuperscriptBox["\[Rho]", "2"]}], "-", RowBox[{"2", " ", "g", " ", SuperscriptBox["\[Rho]", "2"], " ", RowBox[{"(", RowBox[{"1", "-", SuperscriptBox["\[Rho]", "2"]}], ")"}]}]}], ")"}]}]}]], "Output", CellChangeTimes->{{3.769751323950766*^9, 3.769751338490199*^9}}, CellLabel->"Out[84]=",ExpressionUUID->"cad5e6d7-39d7-4da0-9fd5-9f1cb1c28674"], Cell[BoxData[ RowBox[{ RowBox[{"-", SuperscriptBox["g", "4"]}], "+", RowBox[{ FractionBox["1", "4"], " ", SuperscriptBox["g", "6"], " ", RowBox[{"(", RowBox[{"4", "+", SuperscriptBox["u", "2"]}], ")"}]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", SuperscriptBox["g", "2"]}], "-", RowBox[{"2", " ", "g", " ", "u"}], "+", RowBox[{"2", " ", SuperscriptBox["g", "3"], " ", "u"}], "-", RowBox[{ SuperscriptBox["g", "2"], " ", SuperscriptBox["u", "2"]}], "+", RowBox[{ SuperscriptBox["g", "4"], " ", RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "2"]}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"-", "1"}], "+", RowBox[{"2", " ", "g", " ", "u"}], "+", RowBox[{ SuperscriptBox["g", "2"], " ", RowBox[{"(", RowBox[{"3", "+", SuperscriptBox["u", "2"]}], ")"}]}]}], ")"}], " ", SuperscriptBox["\[Rho]", "4"]}], "+", SuperscriptBox["\[Rho]", "6"]}]], "Output", CellChangeTimes->{{3.769751323950766*^9, 3.7697513384933157`*^9}}, CellLabel->"Out[85]=",ExpressionUUID->"75d68554-6b55-41f1-b121-347b315c9ee0"] }, Open ]] }, Closed]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["\[ScriptCapitalP]\[ScriptCapitalT]-symmetric Hubbard dimer", "Title", CellChangeTimes->{{3.771205861440907*^9, 3.7712058664457693`*^9}, { 3.771205958757778*^9, 3.771205960876582*^9}, {3.785043242055691*^9, 3.785043251205803*^9}},ExpressionUUID->"e75b218f-09df-4601-b6e9-\ d148180ea962"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ RowBox[{ RowBox[{ TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"2", SubscriptBox["v", "1"]}], "+", "U"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{ RowBox[{"2", " ", SubscriptBox["v", "2"]}], "+", "U"}]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]], "\[Equal]", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ SubscriptBox["v", "1"], "+", SubscriptBox["v", "2"]}], ")"}], RowBox[{"(", "\[NoBreak]", GridBox[{ {"1", "0", "0", "0"}, {"0", "1", "0", "0"}, {"0", "0", "1", "0"}, {"0", "0", "0", "1"} }], "\[NoBreak]", ")"}]}], "+", TagBox[ RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], "+", "U"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{"\[CapitalDelta]v", "+", "U"}]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], Function[BoxForm`e$, MatrixForm[BoxForm`e$]]]}]}], "/.", RowBox[{"\[CapitalDelta]v", "\[Rule]", RowBox[{ SubscriptBox["v", "2"], "-", SubscriptBox["v", "1"]}]}]}], "/.", RowBox[{ SubscriptBox["v", "2"], "\[Rule]", RowBox[{"-", SubscriptBox["v", "1"]}]}]}], "//", "Simplify"}]], "Input", CellChangeTimes->{{3.743416199862018*^9, 3.7434163097907667`*^9}}, CellLabel->"In[6]:=",ExpressionUUID->"079743cb-f4a2-4c2f-9984-e349fe4c91c8"], Cell[BoxData["True"], "Output", CellChangeTimes->{3.7712059192427483`*^9}, CellLabel->"Out[6]=",ExpressionUUID->"fc82173d-e151-413c-a17e-191b4cb744b7"] }, Open ]], Cell["\<\ \[LeftBracketingBar]1\[UpArrow]1\[DownArrow]\[RightAngleBracket], \ \[LeftBracketingBar]1\[UpArrow]2\[DownArrow]\[RightAngleBracket],\ \[LeftBracketingBar]1\[DownArrow]2\[UpArrow]\[RightAngleBracket],\ \[LeftBracketingBar]2\[UpArrow]2\[DownArrow]\[RightAngleBracket] \t\t\t\[DownArrow] \[ScriptCapitalP] = site flip \[LeftBracketingBar]2\[UpArrow]2\[DownArrow]\[RightAngleBracket], \ \[LeftBracketingBar]2\[UpArrow]1\[DownArrow]\[RightAngleBracket],\ \[LeftBracketingBar]2\[DownArrow]1\[UpArrow]\[RightAngleBracket],\ \[LeftBracketingBar]1\[UpArrow]1\[DownArrow]\[RightAngleBracket] \t\t\t\[DownArrow] \[ScriptCapitalT] = spin flip \[LeftBracketingBar]2\[DownArrow]2\[UpArrow]\[RightAngleBracket], \ \[LeftBracketingBar]2\[DownArrow]1\[UpArrow]\[RightAngleBracket],\ \[LeftBracketingBar]2\[UpArrow]1\[DownArrow]\[RightAngleBracket],\ \[LeftBracketingBar]1\[DownArrow]1\[UpArrow]\[RightAngleBracket] \t\t\t\t\ \>", "Text", CellChangeTimes->{{3.7709928960965157`*^9, 3.770992996780879*^9}, { 3.7712060368080997`*^9, 3.7712061716780777`*^9}, {3.7712062019332647`*^9, 3.771206235439892*^9}},ExpressionUUID->"cc6381b1-d269-4739-acd6-\ 022b42dd72b2"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]v_"}], "]"}], "=", RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", "\[CapitalDelta]v"}], "+", " ", "U"}], RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", "t"}], RowBox[{"\[ImaginaryI]", " ", "t"}], "0"}, { RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", "t"}], "0", "0", RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", "t"}]}, { RowBox[{"\[ImaginaryI]", " ", "t"}], "0", "0", RowBox[{"\[ImaginaryI]", " ", "t"}]}, {"0", RowBox[{ RowBox[{"-", "\[ImaginaryI]"}], " ", "t"}], RowBox[{"\[ImaginaryI]", " ", "t"}], RowBox[{ RowBox[{"\[ImaginaryI]", " ", "\[CapitalDelta]v"}], "+", "U"}]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], "]"}], "//", "FullSimplify"}]}]], "Input", CellChangeTimes->{{3.7709931637513514`*^9, 3.770993176590556*^9}, { 3.7709932777367*^9, 3.77099327942887*^9}, {3.770993331447741*^9, 3.7709933322409363`*^9}, {3.770993413457896*^9, 3.7709934163221416`*^9}, 3.7709936625721397`*^9, 3.770993722454412*^9, {3.771206428657599*^9, 3.771206431871594*^9}, {3.771206519978797*^9, 3.7712065229706783`*^9}, 3.771206569353891*^9, {3.771206628498452*^9, 3.7712066691935263`*^9}}, CellLabel->"In[26]:=",ExpressionUUID->"bdc80fef-6fc8-4f09-8b2e-f6d88347d013"], Cell[BoxData[ RowBox[{"{", RowBox[{"0", ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "2"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "+", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "3"}], "]"}]}], "}"}]], "Output", CellChangeTimes->{ 3.770993302172084*^9, 3.770993332749916*^9, 3.7709934168909473`*^9, { 3.77099365044234*^9, 3.7709936630184927`*^9}, 3.770993723283189*^9, 3.7709937649233932`*^9, 3.770994014549814*^9, 3.7710006872846107`*^9, 3.7712064325327187`*^9, 3.771206524187331*^9, 3.771206570707638*^9, { 3.771206647351513*^9, 3.77120666969728*^9}}, CellLabel->"Out[26]=",ExpressionUUID->"f463f8f7-a5fa-4b1a-8e5b-a8ea5823670a"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "1"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "]"}], "\[IndentingNewLine]", ",", "\[IndentingNewLine]", RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", FractionBox["1", "2"]}], ",", RowBox[{"U", "=", "1"}]}], "}"}], ",", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Im", "[", RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"\[CapitalDelta]v", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"PlotStyle", "\[Rule]", "Dashed"}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"FrameLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\[CapitalDelta]v\>\"", ",", "\"\\""}], "}"}]}]}], "]"}]}], "]"}]}], "\[IndentingNewLine]", "}"}], "]"}]], "Input", CellChangeTimes->{ 3.770994016421832*^9, 3.7709941054050503`*^9, {3.770995492452344*^9, 3.770995499495879*^9}, {3.771206446269553*^9, 3.771206500861327*^9}, { 3.77120654089363*^9, 3.77120660388011*^9}, {3.771206653082106*^9, 3.771206657227775*^9}}, CellLabel->"In[27]:=",ExpressionUUID->"fd945fd1-c085-43ab-9601-e5ba3dd810b1"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, Annotation[#, "Charting`Private`Tag$5742#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1Xk01ekfB3D714+aynA1ZSrkDjWilFC8vxmjmBZSKcnOqGRpWiyJkYzt iquFElFCJCH3WrJzkTXMDVkSLZb7FZESft95zvmc57z++ZzP8zzvcx5FB4+D ziJCQkJxdP23z/7hftfMw9NgYPG/RSHE6RfVFuZ+6NR56i7QbhIMnWIxbWD+ 0+DwLO1MuZ57XQku0JyyEJ+gPZH3W6Qb0x3dh2tvvaW9Su3f4kX+WXju0r3b TlvfO3xzfcIFaBdkyZXTtuMZpLHtfRGbv044g3YQY0rBmnkZu/Rv2EbRfplr Uc+eDoSNudRmT9pO3erBX/hBuDAZcH4/7WlhSVgXBaNWaeZXtf/mVRv8Wp4Q ArNhN0sh2vLmJfkqAaGY0R/63L5AId37pke4fTiqNluLP6D9gmc6bMGMQo74 /gBd2tkXZcysxaKx9Qvvw8I8hYsRAY+jpqOhmWZYU05bMu+Y6xSfDelLenxd 2q21tTUq9bEwruYs+fSdQny3lvLRouvYIKP97AHtDSI/9JUk3ESjqratMO1J Ob8dFOsWFDW5do/mKBSrfYhTDIiDZPGOzgO095pXWoTY34aM9B756G8UPO5d qD/ATIRngt/i8CwFnfy3zCD5JGg8WhZ/lraQk6qhldg9/KqXljr3hUL9xRtJ kdP3cMBtUF6UtlWSh9UnfgpC527Yvf9MwUCNGRZudh8ivINsS9pKea85yvX3 UblFfnv1FIXRWhO5I0UP4P6qsIs9SeGSQLm1KOEhsub8r4hP0O/l3b1gIZeG VzLX9h2jKBiJxKiPs9LA2PQkPENAYSljIXxtQDpuuSjaYJxCov6r34PtH+EH 0emT5AiFisjI4n3MbHz9sZcR95ZC6UhXo3RGNv7XlJeaNEihZM8vffUbn6BO 10Xy/hsKx0Xshe6vzMH1cTeTu/0UDpfOKa1d8xR/Z/xVZNtDwVR7s6u8Wh50 bqVZK7yksGeY73nhVB5yYuw3vmmlsPv6ZZ/OzDyssfijObmFnnfyRXjspnwo LG+MZjTR95Ht8njZ1mcIbXD6XzOPghYzYZIABx0WCm3nSihs6TSccwnkQGxi 8d1MEQXN4I+itRUcHBLJbTtXSGHToLZcsBEXlakFKk4FFFQT27YLmRZiT2Vz /fIcCgoMwn/2UDHGTm5dnpJCQVziLPHxVBkkPKyUUoMpfDAJWDaVVgad0p16 1UEUGliR8vNDZciaInL7AynwwttjQzXKsSO3qkLan0KEjOB+QkY5ZD70Oumc pyCrpFxdfbcC8aGaHW+dKDB3scTkQqowGNpkHryLzv/bWMnbD6ow4BiUpgE6 v1dvL1lbVQW19x32/J0URurSZNWEqlHyRFFcQYfCE7PK9fq+1WA26izx3UTn ze6LkbN7Dd4WZ+0PW0XBJMD+6rMjPLwO2+g1Qwmw5VqFcfI5Hv6t123bOS6A QpKiJIvNg0PkQkXAiAATpW/CnZp5GMn6fmRuSICbC/bRPxrXIbts79H6LgGG /B3ueG2rR1NGuWRFpQCBlxyfqsu+wPpum0+KbAE4Ps69qW3NkMlKr6lhCvDQ 4DR/1WQzdH3jjN4p0f1EvdquybTANCJ2QGStABdYl2p8LFpwuTflL015AbST Yx/v62yBWUOi0glCgONDA6W+bq3oO5PJnn83jm7pZdeUPNvwu7/yO4f74+iy Oq1x9mI7DHfkrV66Yhzhg7vdboW042XwKuWYJePQO7U+o+RGO2RavFbKSI4j wadXichvx6NKl3apxTHYxR1gJEy0Q2DiyeWPjeF9p9Z8zckONMoyiwd4Y5g2 +97wk3UnfEVO7C7xG8OK3SyXCpKP+qgnWtI9o1je4Zy7/XgPinQiTCJOjEB5 nVvGVYd+/Gvp2nWV9wE6vWde7GK/ge/8a2Nb8j0qvgXu7bjzFuptwYURd4bh WlZXVxo0DHbhZ76u0hDiHdNWydm9R5YoXtjWDkL96JuZBeeP6FH5Gso++QZ9 UweaSZNR/LO4cL4AA5js/0mTcXgc7/8aSw/W6kN0pu+flpYUUg0rmT6qr8Fc JrnP+84EwhxXO3m5daPAMzAzKukTbu5cejD12St0qMQS5uxJOLQ6hwjT51p/ pV31RPwU4vbHisw2dULXrH9r0p3PYHrP3lgS1IFez6sGrMhpHMyd93J1bkeu 7rGlNTEzKAiML9pi8hKMI7yu9KtfINL2vdzzUBswKBRTeW4W7LDTrsPnWxHP cF3K9P6Ko37COhq/tiAo8eQ/2059A5+T5uKX3oS7zXG1UZ5z6Fj33Uag2Ah/ 99iJn89+h+HcisTa5w0YtVddecxhHgmGEnur/6lHxPyIWJ/LAtx1tdjZ++pQ NLab+sFqERHb5Z8G76BzrqIzqLdeiEwxUy9XRi1c1Rw1YlOFyJzcIba6QQ0q jhz327VGmHRNEYtdeqIaWkdHMmSThcn0+ZUzuRer4HbFmK+/WoTMmRaPNc2u RKiL5DfhWBHy1RUr8/dTFXj+s/3iiKwoWapn3qCzrQKFCyGiG6JEyfWzRoPG rHI05/02wlohRpa/uHSovbIMNetcaiPZYiT3e5jVyeBSBHMOJ7+REic13TTs tE8/h7XSa5vjLHFyrPfsa0fTEswVaKzeSEiQwaeqz3SZFuOS6MfGG5clyG0N qs9yrIvAWK9rryJEkGyJwyXkn4W46H7ks5QPQfJz7nxMZHGhoO1Ux/QjyD2Z etKjYVyUz3slGPoTZEqM8rftIVxIsVhGvn8TZLa9wKDjMheJmdXXP4YRZI7U RhuGJxe1H7Zsq7tNkBkZtyrKD3Ih67jswtUSgpTwHWRnreSicMPPpsmlBBnt bD2xQo4Lm8kNa56XEyTxaI2s9wou0v82rv1cTZBdM/ceG0txseOeP8OpiSBN uclK43McOPSOFhj2EeTh9tkhm34OiNSv4TYDBHmXcGO19nCQ5UbY+g4SZDWv ctbwFQczc0pE7juCrNlqJL+hjYPwVVaWihRBRuUUnxGu4kBj8M+N+p8I0iTf 4xefMvpfyDi/eHSKICfSj6d8KuZgjW5MWvQXgjw4KtEzlM9BlVCSX9ZXgnyo ah1n+5QD17qsA3VzBLlMW47R85iDJdFFykPzBJm/fd7C8hEHTy3rviwuEqSj Y795x0MO/g+VjsO7 "]]}, Annotation[#, "Charting`Private`Tag$5742#2"]& ]}, {}, {}}, {{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, Annotation[#, "Charting`Private`Tag$5812#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, Annotation[#, "Charting`Private`Tag$5812#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0mk4VX0XBvDDwT5KiRAqZTqGEinSU1k7CZXQQKaKkoTQhAyRqcKRIZ6E kDKUlMiU/LfMKZI4RYj0hLMPIvP07vfDutb1+3Zf91qyZ9yPnuOl0Wil1Px/ Tx9ySzFz99AtNLYc8CnioDAHJeVmpgn0ZUe7+FL+ONzvzGKeAr29Wyf8KD8T 70z7luwI+JVdoQGURwv2Rboy3eCf0Py1wZSlVdrfLLEvQ2BmQsktynu8w7c2 JHuCyciwDYuyXZ1uVqy9DwzYIf57lIMkxtfZMm/AjV8ripIof351rCF2IhD0 zXpdH1N26FALmWIHgffJvap5lCd4GGBbFgLmr7SHS/6fV6VvhkgOA7Wu9yXV lNccKS9UDLgNF8wZ4S2Us70T3MPtw+GO76x9D+XGuoO/jjGjAHq3MBcp53mJ mtnyRUOxe6SocDEHeUUEPI+aiIZfB9r4ZSkzCqycxtmxsCL0Ao8R5U+1tTWK DXGwO4AteJJyYsc2ecuye/Bo6prUFcqqvCu7y5MT4FxKnMkjymPivrtGWP9C 7YvdV99QfqMycF824D6ELnNOb6NsfOTdsTD7B3Dp4gvRFSUc5J7m2WDKfAi6 XdnHblPWKfzJDFqTCkFVW0tyKNMclPWs+dJAy1ZU8QPlBq/41MiJNCgrNZcU K+Ug61R36z/sRzC7cM3pJWVdFeadcLMMODtosLqDslzB92L5hgxgBvnX8ZVx EKf2gLhF2WNwUyw0PknZb1j+U1lyJnwJe9Ik/Ya6l3fH4jHxLJipnqs3pqzP G6PGZWVBnBOtKYDyConF8A0B2eBS/H56gPLDPV/3h9g/BZi8215XzkGVkZFv DjPzwCHDqKe4goMqhr59WJ6TBy7TkvtpiIPKjZS6Gza9AP8gzYEDlG147WkZ ki/hs+C13z8om1fMyW2QyYeCtKHP6ys56KD2Vqc1KgWQyHs+q7WKg4x+sT08 nQtgn90thkY1Bxneu3G97VkB6GWY57Io6481hsdtKYS1eNBb4xqqjzzH58Lb X0OplYhIRy0HbWMmj2FQDA2q01+3vucgzTa9OcfAYjBSc4p/RFkjZJBeW1kM kvnaSWKNHLSlT1s8RL8E0mQaQuYpKz9s2UE7WArqerxdnR85aJ0E5j99/A04 GAit+tbCQfwCl7FBZwT7tYV0Wjo4aOBAgPB4FoIg902f7Ds56D0rcs1CP4Jr C6EJ45TrwlvjbqsTIO48/UK6i4MiRIczknMIeJtnreDVw0FicvLV1SmV4Byb G36hn4OYe1l84mFVsN6rAnRGqP//Gcd48LgKIqIWX4xQZoQ+ENpQVQUbA2vs skc5aKg+S0yFVg3pL66FrR/joBdm7xT2+FSDtJf3X4kJ6t/spvTPudWAcaHS iMEcBx0IsA99bVEHxqsdtNIYJNK8W2mQfrUOFFpFH/gJkmhdqiyDFVsHR6VN jayXkWi0ojfcoakOttceCZESIlHCon30aoN6+HKjKypLmET9/meSLmk1gFr3 TBzvGhIF+p3NVxNrBPOVzeWlTBI5R1ZdltJshKoB/wZCiUTHk+W385s1wsU2 P50GZRIplf8s+h7RCK7f3uLdqiRqmjtbHkH/AK9cCBEpdSqPr0Pd4NgHoPfL Xv28g0TF1891PWlpglm57BPWB0mUqevClh5rgvwKj+ScQ1Q++qWWu6LNYJJ4 ImPWmESeLL+a68eaYbcczKebkkg7Pe754bZmiM/9NcdvTiKb/h8VPq6fwN57 814FOxJ1LBe+K+fRAu7HVt5650Wio8MiQicDW2Ct1uWLxtdJ9P6T2J1/o1uA kZWy56sPicripYOF8ltgmdrVtAl/Ej3YwPSa/NMCQhft7xmGkMh6257T7698 hohRTasDMST6Zu2iftmrFZZy5KM/5pIovM/Q9d+wVojuXv7QO49E/zgr5JTH t8L5iV2+ii9JlHy9Sw4rbAVDaM4KKSCR3X1TieTRVniqYDhgWUai323bFmou fIE1J6pnrepJNGE2/17Ktg108WT+2l9UP1+/YuDSBjIq2ZLPf5PIwu61voNP GzzdTqxPGCRRibtbRd79Nli57TSvG5dEflE/8ve1tQFfyqFjWhMkon+ovn/R pB0Kc8d45Pm5SMSQ5ViJs2Eq2/DXTSYX6eeUw6YjbDCVeR3KVuYi7+WkZLw9 Gy4F7khQ38RFP5oPNjoFseFsb7DQb3UuemnJ0FhVzYYlz82XruzkIjPn4JlT hl9BsihAjX6Yi6JZ1yPnD38DB0vbVwKeXLTqy7lXO2w64ZqQsMO3Zi7CuXuH jrt0wo2NAr9rPnORh4CM3GXfTuB5Hc/7uo2LWnTaY3KTOiEzTkEgqZOLYlMM Lsl+74T46iGzsN9cJH5eSWP5ye9QN1fo07HERdKzA8+7T3WB8WbGMz/NYSS/ 0TUn9EwP0GN7VMtSh1Fkt2w661IP1PdnGotmDKPJZPb9+MAemNSpR66Zw6he at/tJw97AE6yEpWfDyPX1dLnazp64D/dMonysmFkQ3eIDVL5AQb995YfbR9G TyZFzN6l/4A4PeHxHcIjSKfrYuPe2F4wSmV/br01gipnA42/JP2EodXG2lHm o8gJ1ddXBP0CeWOf+SXuKEo8myUtbvcb7Ox/FjpE/0Fqlr2Ti+cGIcuqBjMx HkPd46ZN+AEOWO5v/GLDN47GeqQ0JMy5MBOHDZu0jqPoZz7nT5wYAc0iIRun x38RU5hx2DtpFCQko2iPXSZQkUfgs6jUP4B4g/u8DCfRF8U47EjsGCT/1+QW tWYKKQS3Kp9MHIfqO1IKL+em0E6znu2pSX9hfuaT+t+uadTlEarLipyAhHfP g5pezaBXO61W1MRMQptudp9B0iySsKj7lh06BQfv6otUXJtD0EeLeXd1GuYV oWPd4XmUKOG0guk9A0O36qemdyygoIcXbmk5z4I2T2G1utgiSmm6XxvlMQcu wbjub/oS8neLG11/eR7cLRoIndElxLFXlrQ6swCGGTt/ljrSiIiFIb5ux0Uo l3VLkOyhEWWk4chK6yXw0H5a9tmUh2hX1On7R4GGh10NiMys4CGcVM6qxz2h 4Z5bPTxgBy9RaWHju1eGB/9+vZopks1LbLMcyhFL58GnT/u8ey5HJ1yDDdh7 1vLiFSpe0pfj6cRtR8YsTxwvLn38NK4lwEe8XW+/NCRGx4/UuW+tD+QjShfD 6KpRdHwxsWOl8zgf0VSwb4glwofvM1q5rNedn6jZ6FgbGcuHp8hY/DEZ4idC is3Te5fx43+S1SKKbAUIW7nvp2xY/PiggS9t+qsAMVekvnYTJoBvDRrMUj6M EX70wQ/xNwTwVW4bN+xCGCGhsNNekYbhiR54z6ZdDMLLzeLvsusY3imh2DWX xyDWaTvUM30xvP1j5XGefAZBLFxK1vPH8KSUo80CBQxiGYul73MTw+nWJh9F ihnEw2fV9wbvYPjLlamkEmIQtQOaWvUPMDxvzeaS480MQuyssGdoOYZL9WoE vBxhEKWq6w+mV2A4W3j/8aI/DOLUmKrMWwLD76js3lw+ziCybxrU/q3G8DBa S3/dFIPYleYv4fARw8c9w7x7lhjEmS5OkV43hpdXPFURXiVIYE9mwk/9wPBQ j7zN4qKCRK4rdtqnD8OjMyM114oJEpNzctir/zB8dXi7gZKkIBEubX1CdgTD xdNiYmCjIKHed37Tnj8Y7thv/Wy/nCDxJefakuU4hruGztYdUhAkZHbGZEVP Yfi6D2WClsqCRBUt1Td3BsOtLnRsOaUqSDjV55rWz2H4xaNNFg6bBQmh6DL5 /gUMd6Mn3HTeIkjkn6ifWlrC8JhpjRceGoLE/wDzBPdU "]]}, Annotation[#, "Charting`Private`Tag$5812#3"]& ], TagBox[ {RGBColor[0., 0.596078, 0.109804], AbsoluteThickness[3], Opacity[1.], Dashing[{Small, Small}], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0nk4lH0XB/BhcM+UEtkrZZtQEpX0VM6vEi2SFrK0mJokZKnsRLZKRpZ4 khFSoaREtmTJYKTI1oQQ6bHMPdbs23u/f5zrXJ//vtf3HMWLzicvC5JIpEJi /r+njzolmjq76OcaW/R75/EglLFRrZ5mAj3pkQ4+hL8O9dozaedh/z7tCV/C r6Tak1tZtoBu7A7xJzyScyDckeYE/4RkrwkiLK/+/cMS9zoEvIgruEN4r2eY dg3LHUyGh6yZhG2q9dOi6d7Qb1Mq/JBwoPT42rO0W3Drz4q8BMKN707VRE8E gIFpt+Mzwow2zeApbiB4ntunkUV4QoACZ4uCweyd7lDB//Oq98yUsUJBs+Nz AZuwzIniXFX/u3DVjBLWQDjdM845jB4G93xm6V2Ea6uP/DlFiwDo3kJbJJzl IWF6VigS8p3DJcTyeeBx3/91xEQk/DncIqxImJJjaTfOjYYVIVcFDhH+VlVV qVoTA3v8udRzhOPbtilbFD2Ep1NucjcIawiu7CxmxcHlxBiTp4THpHx2DzP/ hao3e25+IPxBvf+Rov8jCFlmn9JC2PjEp1Oh9Mfgeu2NxIoCHjgnu9ccpz0B /Y70U3cJ6+X+pgXKJEFghXZBBmESQ22/lVAy7DgrofqFcI1HbFL4RDIUFZrJ ShbywCrJ2WqU+xRmF9zs3hLWV6fdCzNNhUsDhqvbCCvl/MxXrkkFWqBftVAR D3hVh6XMi56Bk2qu8TnCvkPK34pYL6A59Hmd/AfiXp5ti6ek0mCGPccxJmwg GKXJZ6ZBjB2pzp/wCunFsPX+6eCQ/3m6n/CTvT8OBtNfAkw++F5dzIPy8PAP x2hZwEg91JVfwoOSwdYvyzOywGFa9iCplAfFhzZ21mx6A36BOv2HCVsL0kmp sm+hkerW94uwWcmc0nqFbMhJHmxcV86DI7radjLqORAveCWtqYIHh/5wXdzt c+CAzR3KVjYPjB7e8mp5lQP7U80ymYQNxmrDYrbkwhoU+NG4kugjy/a12Pb3 UGgpLt5WxYNtNNYYBvlQozH9Q/szD3Ra9s/ZBuTDIU272KeEtwYPkKvK80E2 WzdBspYHW3p0pYINCiBZoSZ4nrDak4adpCOFoLVfsKP9Kw/WSmN+06c/AMNQ dFVrAw+ERa5jA/alcFBXVK+hjQf9h/3FxtNKIdB50zd6Ow8+M8NlFnpLwW0h JG6ccHVYU8xdrTKQsp9+I9/Bg/sSQ6msjDL4mGWl4tHFA0klZTY7sRzsozPD rvbygLaPKSQVWgHrPEpAb5j4/98xlMfPKuB+xOKbYcKUkMei6ysqYENApU36 CA8GOWmS6iQ2pLxxC103xoM3pp9U9nqzQd7D86/0BPFvNlMGl50qwTh347Dh HA8O+9ND3ptXg/Fqxo5kCg46D8oNU25Wg0qTxGNfKg5rkxQpzOhqOCl//JDV MhxGSrrDGHXVsL3qRLCcKA5xi/TI1YYcaL7VEZEmhkOv38UE1x01oNk5EyMo g0OA76VsTclaMFtZX1xIw8E+vOK6nE4tVPT71ZRtxOE0S3m7sGktXGvx1atR w2Fj8e+8n/drwbH1I+rUwKFu7lLxffIXeOdQJi6nReTxYVQPjH0Bcq/izcad OOR7Xe543lAHs0rpZ6yO4PBC34ErP1YH2SUurIyjRD6ya8MDiXowiT+TOmuM gzvTt9LrVD3sUYL5lOM46KbEvD7WUg+xmX/mhM1wsO79VeLt+A3onpv3qdjg 0LZc7IGSSwM4n1p555MHDieHxEXPBTTAmh3Xrxl74fD5m+S9fyMbgJKWuPeH Nw5FsfJBotkNsEzzZvKEHw6P19M8JkcbQPQa/aFRMA5W2/Ze+HyjEe6P6Fge jsKh1cpB67pHEyxlKEd+zcQhrMfI8d/QJojsXP7EMwuHf+xVMopjm+DKxG4f 1bc4sLw6lLDcJjCC+rTgHBxsHh2XZo00wUsVo36LIhz6WrYtVF5tBpkz7FlL Dg4TpvOf5c62gD5iCVf9Ifr58QMDhxZQUE+Xfd2Hg7nNewOGdwu83F62Lm4A hwJnp5KsRy2wctsFQSc+Dr4Rv7IPtLSAUOLRUzsmcCB/YT+6ZvIdcjPHBJSF +SBuxLQtR1yYSjf6c5vGB4OMYth0ggvHFd6HcNX44Lkcl42lc8E1YGec1iY+ /Ko/UmsXyIVL3UGifVp8eGtB2bqKzYUl982uN3bxwdQ+aOa80Q+QzfPXJB/j QyTTK3z+WCswLM6+E3Hnw6rmy+92WreDm6gYo7WeD4i/b/C0Qzvc2iDSV9nI BxcRBaXrPu0g8D5W8H0LHxr0vkdlJrTDixgVkYR2PkQnGroq/myHWPagaWgf H6SubNy6/NxPqJ7L9W5b4oP8bP/rzvMdYLyZ8spXZwiUNzhmhFzsAnJ0l0ZR 0hCEdyqmMF27gNP7wlgidQgmWdxHsQFdMKnHKXV8MQQcuQN3nz/pAjjHjFd7 PQSOq+WvVLZ1wX/6RdLFRUNgTWZEB6r/AsPeh8tPfh+C55Pipp9SfkHMfrHx nWLDoNdxrXZfdDccSuI2Nt0ZhvLZAOPmhN8wuNpYN8JsBOxKOZySwD+gbOw9 v8QfgfhLafJSNn1gQ/+dy4gcBU2L7snFywOQZlmJmRiPQef48Tp0mAcWB2ub rYXGYaxLbqu0GR9mYrAhk6ZxiHzlfeXMmWHQyRO1tnv2F2hilGOeCSMgLRtB euYwAXkuAa8ikkahVDCox8NoEppVY7AT0WPA+q/OKUJmClSCmtTOxY8D+56c ytu5Kdhl2rU9KeEvzM980/rbMQ0dLiH6zPAJiPv0OrDu3Qy822W5ojJqElr0 03sME2ZB2ry6NT1kCo48MBAvcZsD6CFFfbo5DfOq0Lb22DzES9utoHnOwOAd ztT0zgUIfHL1zg77WdAVyGVrSS5CYt2jqgiXOXAIQvp95CXwc4oZWXd9HpzN a8r0RpaAR1eTtby4AEapu34X2pLQ/YVBoU7bRShWdIqT7SKhItxoeKXVErjo vixqPC6Avqvq9fyjQkKhN/3DX5QIIDv1S1oxz0nIXdvFBXYKonJza599CgLo pxebJp4uiLZZDGZIpgig6Qven14rkZFjkCF37xpBVKLuIX89lozu2lJmBWIE kfzpC2iHiBD6uI6+NChJRieqnbU5AUKocDGUrBFBRovxbSvtx4VQXc6BQaa4 EDpwaOWybmdhVLnBtio8WgglKpiPmgwKo+B8s5TuZcJolKV5P++sCDqr9PO8 NVMYDRj6kKZ/iKC5PK01mzARpB04kKZ2DEO+5IEvsbdE0CqnDet3l2JIWmUX XZWEoXgX1LVpNwV5OJn/XeaFoXZp1Y65LApaq8vg0Hww9P1r+WmBbAoqW3Bl 7ffDUELiyXqRHApaxmQaeN/GENnK5Kt4PgU9ecV+OHAPQ29XJuEbSymoql9n B+cxhrJkNhecrqcgyUti7iHFGJLr3ur/dpiCCjXWHUkpwRBX7ODpvFEKOj+m ofCxDEP31PdsLh6noPTbhlV/2RgKJTX0Vk9R0O5kP2nGVwyNu4d6di1R0MUO Xt7+TgwVl7xUF1tFRdjzmbDzvzAU4pK1WUqCijIdsQvePRiKfBGus0aSiibn lLB3/2Foddh3w42yVBQmb3VGcRhDUslRUbCBirR6rmzaO4oh216rVweVqKg5 w23JYhxDjiGz1UdVqEhhV1Ra5BSG1n4polqoUVEFKckncwZDllfbtpzXoCI7 TuZxzhyGrp2sM2dspiLRyCLl3gUMOZHjbttvoaLsM5yppSUMRU1vfeOylYr+ B5dYmtQ= "]]}, Annotation[#, "Charting`Private`Tag$5812#4"]& ]}, {}, {}}}, InsetBox[ TemplateBox[{TagBox[ FrameBox[ StyleBox["1", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["2", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["3", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["4", Smaller, StripOnInput -> False]], "Placeholder"]}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #4}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ RowBox[{"Opacity", "[", "1.`", "]"}], ",", InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0., 0.596078, 0.109804], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0., 0.39738533333333337`, 0.07320266666666667], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.`", ",", "0.596078`", ",", "0.109804`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0., 0.596078, 0.109804]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0., 0.596078, 0.109804], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ TagBox[#, HoldForm], ",", TagBox[#2, HoldForm], ",", TagBox[#3, HoldForm], ",", TagBox[#4, HoldForm]}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{ FormBox["\"E(N=2)\"", TraditionalForm], None}, { FormBox["\"\[CapitalDelta]v\"", TraditionalForm], None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.2, FormBox[ TagBox[ InterpretationBox["\"0.2\"", 0.2, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.4, FormBox[ TagBox[ InterpretationBox["\"0.4\"", 0.4, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.6, FormBox[ TagBox[ InterpretationBox["\"0.6\"", 0.6, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0.8, FormBox[ TagBox[ InterpretationBox["\"0.8\"", 0.8, AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox[ TagBox[ InterpretationBox["\"1.0\"", 1., AutoDelete -> True], NumberForm[#, { DirectedInfinity[1], 1}]& ], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox["1", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {3., FormBox["3", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 3}, {0., 0.9999999999999964}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, "Charting`Private`Tag$5742#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Line[CompressedData[" 1:eJwV1Xk01ekfB3D714+aynA1ZSrkDjWilFC8vxmjmBZSKcnOqGRpWiyJkYzt iquFElFCJCH3WrJzkTXMDVkSLZb7FZESft95zvmc57z++ZzP8zzvcx5FB4+D ziJCQkJxdP23z/7hftfMw9NgYPG/RSHE6RfVFuZ+6NR56i7QbhIMnWIxbWD+ 0+DwLO1MuZ57XQku0JyyEJ+gPZH3W6Qb0x3dh2tvvaW9Su3f4kX+WXju0r3b TlvfO3xzfcIFaBdkyZXTtuMZpLHtfRGbv044g3YQY0rBmnkZu/Rv2EbRfplr Uc+eDoSNudRmT9pO3erBX/hBuDAZcH4/7WlhSVgXBaNWaeZXtf/mVRv8Wp4Q ArNhN0sh2vLmJfkqAaGY0R/63L5AId37pke4fTiqNluLP6D9gmc6bMGMQo74 /gBd2tkXZcysxaKx9Qvvw8I8hYsRAY+jpqOhmWZYU05bMu+Y6xSfDelLenxd 2q21tTUq9bEwruYs+fSdQny3lvLRouvYIKP97AHtDSI/9JUk3ESjqratMO1J Ob8dFOsWFDW5do/mKBSrfYhTDIiDZPGOzgO095pXWoTY34aM9B756G8UPO5d qD/ATIRngt/i8CwFnfy3zCD5JGg8WhZ/lraQk6qhldg9/KqXljr3hUL9xRtJ kdP3cMBtUF6UtlWSh9UnfgpC527Yvf9MwUCNGRZudh8ivINsS9pKea85yvX3 UblFfnv1FIXRWhO5I0UP4P6qsIs9SeGSQLm1KOEhsub8r4hP0O/l3b1gIZeG VzLX9h2jKBiJxKiPs9LA2PQkPENAYSljIXxtQDpuuSjaYJxCov6r34PtH+EH 0emT5AiFisjI4n3MbHz9sZcR95ZC6UhXo3RGNv7XlJeaNEihZM8vffUbn6BO 10Xy/hsKx0Xshe6vzMH1cTeTu/0UDpfOKa1d8xR/Z/xVZNtDwVR7s6u8Wh50 bqVZK7yksGeY73nhVB5yYuw3vmmlsPv6ZZ/OzDyssfijObmFnnfyRXjspnwo LG+MZjTR95Ht8njZ1mcIbXD6XzOPghYzYZIABx0WCm3nSihs6TSccwnkQGxi 8d1MEQXN4I+itRUcHBLJbTtXSGHToLZcsBEXlakFKk4FFFQT27YLmRZiT2Vz /fIcCgoMwn/2UDHGTm5dnpJCQVziLPHxVBkkPKyUUoMpfDAJWDaVVgad0p16 1UEUGliR8vNDZciaInL7AynwwttjQzXKsSO3qkLan0KEjOB+QkY5ZD70Oumc pyCrpFxdfbcC8aGaHW+dKDB3scTkQqowGNpkHryLzv/bWMnbD6ow4BiUpgE6 v1dvL1lbVQW19x32/J0URurSZNWEqlHyRFFcQYfCE7PK9fq+1WA26izx3UTn ze6LkbN7Dd4WZ+0PW0XBJMD+6rMjPLwO2+g1Qwmw5VqFcfI5Hv6t123bOS6A QpKiJIvNg0PkQkXAiAATpW/CnZp5GMn6fmRuSICbC/bRPxrXIbts79H6LgGG /B3ueG2rR1NGuWRFpQCBlxyfqsu+wPpum0+KbAE4Ps69qW3NkMlKr6lhCvDQ 4DR/1WQzdH3jjN4p0f1EvdquybTANCJ2QGStABdYl2p8LFpwuTflL015AbST Yx/v62yBWUOi0glCgONDA6W+bq3oO5PJnn83jm7pZdeUPNvwu7/yO4f74+iy Oq1x9mI7DHfkrV66Yhzhg7vdboW042XwKuWYJePQO7U+o+RGO2RavFbKSI4j wadXichvx6NKl3apxTHYxR1gJEy0Q2DiyeWPjeF9p9Z8zckONMoyiwd4Y5g2 +97wk3UnfEVO7C7xG8OK3SyXCpKP+qgnWtI9o1je4Zy7/XgPinQiTCJOjEB5 nVvGVYd+/Gvp2nWV9wE6vWde7GK/ge/8a2Nb8j0qvgXu7bjzFuptwYURd4bh WlZXVxo0DHbhZ76u0hDiHdNWydm9R5YoXtjWDkL96JuZBeeP6FH5Gso++QZ9 UweaSZNR/LO4cL4AA5js/0mTcXgc7/8aSw/W6kN0pu+flpYUUg0rmT6qr8Fc JrnP+84EwhxXO3m5daPAMzAzKukTbu5cejD12St0qMQS5uxJOLQ6hwjT51p/ pV31RPwU4vbHisw2dULXrH9r0p3PYHrP3lgS1IFez6sGrMhpHMyd93J1bkeu 7rGlNTEzKAiML9pi8hKMI7yu9KtfINL2vdzzUBswKBRTeW4W7LDTrsPnWxHP cF3K9P6Ko37COhq/tiAo8eQ/2059A5+T5uKX3oS7zXG1UZ5z6Fj33Uag2Ah/ 99iJn89+h+HcisTa5w0YtVddecxhHgmGEnur/6lHxPyIWJ/LAtx1tdjZ++pQ NLab+sFqERHb5Z8G76BzrqIzqLdeiEwxUy9XRi1c1Rw1YlOFyJzcIba6QQ0q jhz327VGmHRNEYtdeqIaWkdHMmSThcn0+ZUzuRer4HbFmK+/WoTMmRaPNc2u RKiL5DfhWBHy1RUr8/dTFXj+s/3iiKwoWapn3qCzrQKFCyGiG6JEyfWzRoPG rHI05/02wlohRpa/uHSovbIMNetcaiPZYiT3e5jVyeBSBHMOJ7+REic13TTs tE8/h7XSa5vjLHFyrPfsa0fTEswVaKzeSEiQwaeqz3SZFuOS6MfGG5clyG0N qs9yrIvAWK9rryJEkGyJwyXkn4W46H7ks5QPQfJz7nxMZHGhoO1Ux/QjyD2Z etKjYVyUz3slGPoTZEqM8rftIVxIsVhGvn8TZLa9wKDjMheJmdXXP4YRZI7U RhuGJxe1H7Zsq7tNkBkZtyrKD3Ih67jswtUSgpTwHWRnreSicMPPpsmlBBnt bD2xQo4Lm8kNa56XEyTxaI2s9wou0v82rv1cTZBdM/ceG0txseOeP8OpiSBN uclK43McOPSOFhj2EeTh9tkhm34OiNSv4TYDBHmXcGO19nCQ5UbY+g4SZDWv ctbwFQczc0pE7juCrNlqJL+hjYPwVVaWihRBRuUUnxGu4kBj8M+N+p8I0iTf 4xefMvpfyDi/eHSKICfSj6d8KuZgjW5MWvQXgjw4KtEzlM9BlVCSX9ZXgnyo ah1n+5QD17qsA3VzBLlMW47R85iDJdFFykPzBJm/fd7C8hEHTy3rviwuEqSj Y795x0MO/g+VjsO7 "]]}, "Charting`Private`Tag$5742#2"]}}, {}, {}}, {{{{}, {}, Annotation[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, "Charting`Private`Tag$5812#1"], Annotation[{ Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJxF0XlI0wEUB/CfeUwkM8FGeeH5y5QwKssV3qFomVa4ebWaurlszSXlmebR rGwbHgWZef0hKkqQkqLlVR4LcxGORGqaS6vNyjOvNVdBvvfg8eXz3/vy7OOS z7K3EQQR+nf/5dpJfmV4ssCb+D+FCXtd3pKnfbY88nM6SUwywfOtASIeyQfn U5esY8kc8PBQyMw5UgJOrkl9HUZWgftEoueh5BOwoVEKRZXUAw6+yRI+ow+B 2zPYirp3MvB49GX3lLRRsHmQmNPnOwbeKWe3HI35AHa04zUK4ybBnoorw36l U3jPRu4pecVnMLdHKu3OnwGXx9db7rr4Fbw/cmplk60CTyyFyXyDZ8GLk3sO UCN+gIubMhMZjDkwaWYcml4xD24T5DZJqhfAcucyypnSRbBTwajL+fIlMC18 8nB1xTJYIRB6i0W/wC20KNOBkhUwlT403iBcBfsoiZKX19awH5VrSqav4z+r Lt32SNoAV8oeDkoEGnA2v2zeJuU3eJblsjsqTgu+p1UbTHA2wZ3fg+Z2ROvA 7509lcecCN8tc/fFu5fVofvoMVl+tnrgQ5HqRotaNK8gcMzLahv4Dsd4Q68M 3WXD0qkt9MEdm4X6rhK0rDVALTY3AA/YcQZFpehb7RG1UyaG4FiHj8wYMVrT 5m7lRjEC39BXvXmQg6Y60VjOBAWcxqcvm2SgrY8kSMksdK/26mP/bLSJWHwi Mw9d1dR/X3UXPfjtoIf0Edoi3ixV+ALd4WoTUtuNZi662nb1ohvyAgeX+9HH a7KpCSPoOMVsm/8EmlK3XsT8hG7mUS5kKtErGgdKyxd0kWU0w34O7a5MdPNa QMsbr+sil9C2tJL64lX0K6I6q3kdzZU2h0k16O3FnY7TWvRThnRVp0P/AZXN GWk= "]]}, "Charting`Private`Tag$5812#2"], Annotation[{ Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwV0mk4VX0XBvDDwT5KiRAqZTqGEinSU1k7CZXQQKaKkoTQhAyRqcKRIZ6E kDKUlMiU/LfMKZI4RYj0hLMPIvP07vfDutb1+3Zf91qyZ9yPnuOl0Wil1Px/ Tx9ySzFz99AtNLYc8CnioDAHJeVmpgn0ZUe7+FL+ONzvzGKeAr29Wyf8KD8T 70z7luwI+JVdoQGURwv2Rboy3eCf0Py1wZSlVdrfLLEvQ2BmQsktynu8w7c2 JHuCyciwDYuyXZ1uVqy9DwzYIf57lIMkxtfZMm/AjV8ripIof351rCF2IhD0 zXpdH1N26FALmWIHgffJvap5lCd4GGBbFgLmr7SHS/6fV6VvhkgOA7Wu9yXV lNccKS9UDLgNF8wZ4S2Us70T3MPtw+GO76x9D+XGuoO/jjGjAHq3MBcp53mJ mtnyRUOxe6SocDEHeUUEPI+aiIZfB9r4ZSkzCqycxtmxsCL0Ao8R5U+1tTWK DXGwO4AteJJyYsc2ecuye/Bo6prUFcqqvCu7y5MT4FxKnMkjymPivrtGWP9C 7YvdV99QfqMycF824D6ELnNOb6NsfOTdsTD7B3Dp4gvRFSUc5J7m2WDKfAi6 XdnHblPWKfzJDFqTCkFVW0tyKNMclPWs+dJAy1ZU8QPlBq/41MiJNCgrNZcU K+Ug61R36z/sRzC7cM3pJWVdFeadcLMMODtosLqDslzB92L5hgxgBvnX8ZVx EKf2gLhF2WNwUyw0PknZb1j+U1lyJnwJe9Ik/Ya6l3fH4jHxLJipnqs3pqzP G6PGZWVBnBOtKYDyConF8A0B2eBS/H56gPLDPV/3h9g/BZi8215XzkGVkZFv DjPzwCHDqKe4goMqhr59WJ6TBy7TkvtpiIPKjZS6Gza9AP8gzYEDlG147WkZ ki/hs+C13z8om1fMyW2QyYeCtKHP6ys56KD2Vqc1KgWQyHs+q7WKg4x+sT08 nQtgn90thkY1Bxneu3G97VkB6GWY57Io6481hsdtKYS1eNBb4xqqjzzH58Lb X0OplYhIRy0HbWMmj2FQDA2q01+3vucgzTa9OcfAYjBSc4p/RFkjZJBeW1kM kvnaSWKNHLSlT1s8RL8E0mQaQuYpKz9s2UE7WArqerxdnR85aJ0E5j99/A04 GAit+tbCQfwCl7FBZwT7tYV0Wjo4aOBAgPB4FoIg902f7Ds56D0rcs1CP4Jr C6EJ45TrwlvjbqsTIO48/UK6i4MiRIczknMIeJtnreDVw0FicvLV1SmV4Byb G36hn4OYe1l84mFVsN6rAnRGqP//Gcd48LgKIqIWX4xQZoQ+ENpQVQUbA2vs skc5aKg+S0yFVg3pL66FrR/joBdm7xT2+FSDtJf3X4kJ6t/spvTPudWAcaHS iMEcBx0IsA99bVEHxqsdtNIYJNK8W2mQfrUOFFpFH/gJkmhdqiyDFVsHR6VN jayXkWi0ojfcoakOttceCZESIlHCon30aoN6+HKjKypLmET9/meSLmk1gFr3 TBzvGhIF+p3NVxNrBPOVzeWlTBI5R1ZdltJshKoB/wZCiUTHk+W385s1wsU2 P50GZRIplf8s+h7RCK7f3uLdqiRqmjtbHkH/AK9cCBEpdSqPr0Pd4NgHoPfL Xv28g0TF1891PWlpglm57BPWB0mUqevClh5rgvwKj+ScQ1Q++qWWu6LNYJJ4 ImPWmESeLL+a68eaYbcczKebkkg7Pe754bZmiM/9NcdvTiKb/h8VPq6fwN57 814FOxJ1LBe+K+fRAu7HVt5650Wio8MiQicDW2Ct1uWLxtdJ9P6T2J1/o1uA kZWy56sPicripYOF8ltgmdrVtAl/Ej3YwPSa/NMCQhft7xmGkMh6257T7698 hohRTasDMST6Zu2iftmrFZZy5KM/5pIovM/Q9d+wVojuXv7QO49E/zgr5JTH t8L5iV2+ii9JlHy9Sw4rbAVDaM4KKSCR3X1TieTRVniqYDhgWUai323bFmou fIE1J6pnrepJNGE2/17Ktg108WT+2l9UP1+/YuDSBjIq2ZLPf5PIwu61voNP GzzdTqxPGCRRibtbRd79Nli57TSvG5dEflE/8ve1tQFfyqFjWhMkon+ovn/R pB0Kc8d45Pm5SMSQ5ViJs2Eq2/DXTSYX6eeUw6YjbDCVeR3KVuYi7+WkZLw9 Gy4F7khQ38RFP5oPNjoFseFsb7DQb3UuemnJ0FhVzYYlz82XruzkIjPn4JlT hl9BsihAjX6Yi6JZ1yPnD38DB0vbVwKeXLTqy7lXO2w64ZqQsMO3Zi7CuXuH jrt0wo2NAr9rPnORh4CM3GXfTuB5Hc/7uo2LWnTaY3KTOiEzTkEgqZOLYlMM Lsl+74T46iGzsN9cJH5eSWP5ye9QN1fo07HERdKzA8+7T3WB8WbGMz/NYSS/ 0TUn9EwP0GN7VMtSh1Fkt2w661IP1PdnGotmDKPJZPb9+MAemNSpR66Zw6he at/tJw97AE6yEpWfDyPX1dLnazp64D/dMonysmFkQ3eIDVL5AQb995YfbR9G TyZFzN6l/4A4PeHxHcIjSKfrYuPe2F4wSmV/br01gipnA42/JP2EodXG2lHm o8gJ1ddXBP0CeWOf+SXuKEo8myUtbvcb7Ox/FjpE/0Fqlr2Ti+cGIcuqBjMx HkPd46ZN+AEOWO5v/GLDN47GeqQ0JMy5MBOHDZu0jqPoZz7nT5wYAc0iIRun x38RU5hx2DtpFCQko2iPXSZQkUfgs6jUP4B4g/u8DCfRF8U47EjsGCT/1+QW tWYKKQS3Kp9MHIfqO1IKL+em0E6znu2pSX9hfuaT+t+uadTlEarLipyAhHfP g5pezaBXO61W1MRMQptudp9B0iySsKj7lh06BQfv6otUXJtD0EeLeXd1GuYV oWPd4XmUKOG0guk9A0O36qemdyygoIcXbmk5z4I2T2G1utgiSmm6XxvlMQcu wbjub/oS8neLG11/eR7cLRoIndElxLFXlrQ6swCGGTt/ljrSiIiFIb5ux0Uo l3VLkOyhEWWk4chK6yXw0H5a9tmUh2hX1On7R4GGh10NiMys4CGcVM6qxz2h 4Z5bPTxgBy9RaWHju1eGB/9+vZopks1LbLMcyhFL58GnT/u8ey5HJ1yDDdh7 1vLiFSpe0pfj6cRtR8YsTxwvLn38NK4lwEe8XW+/NCRGx4/UuW+tD+QjShfD 6KpRdHwxsWOl8zgf0VSwb4glwofvM1q5rNedn6jZ6FgbGcuHp8hY/DEZ4idC is3Te5fx43+S1SKKbAUIW7nvp2xY/PiggS9t+qsAMVekvnYTJoBvDRrMUj6M EX70wQ/xNwTwVW4bN+xCGCGhsNNekYbhiR54z6ZdDMLLzeLvsusY3imh2DWX xyDWaTvUM30xvP1j5XGefAZBLFxK1vPH8KSUo80CBQxiGYul73MTw+nWJh9F ihnEw2fV9wbvYPjLlamkEmIQtQOaWvUPMDxvzeaS480MQuyssGdoOYZL9WoE vBxhEKWq6w+mV2A4W3j/8aI/DOLUmKrMWwLD76js3lw+ziCybxrU/q3G8DBa S3/dFIPYleYv4fARw8c9w7x7lhjEmS5OkV43hpdXPFURXiVIYE9mwk/9wPBQ j7zN4qKCRK4rdtqnD8OjMyM114oJEpNzctir/zB8dXi7gZKkIBEubX1CdgTD xdNiYmCjIKHed37Tnj8Y7thv/Wy/nCDxJefakuU4hruGztYdUhAkZHbGZEVP Yfi6D2WClsqCRBUt1Td3BsOtLnRsOaUqSDjV55rWz2H4xaNNFg6bBQmh6DL5 /gUMd6Mn3HTeIkjkn6ifWlrC8JhpjRceGoLE/wDzBPdU "]]}, "Charting`Private`Tag$5812#3"], Annotation[{ Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3], Dashing[{Small, Small}]], Line[CompressedData[" 1:eJwV0nk4lH0XB/BhcM+UEtkrZZtQEpX0VM6vEi2SFrK0mJokZKnsRLZKRpZ4 khFSoaREtmTJYKTI1oQQ6bHMPdbs23u/f5zrXJ//vtf3HMWLzicvC5JIpEJi /r+njzolmjq76OcaW/R75/EglLFRrZ5mAj3pkQ4+hL8O9dozaedh/z7tCV/C r6Tak1tZtoBu7A7xJzyScyDckeYE/4RkrwkiLK/+/cMS9zoEvIgruEN4r2eY dg3LHUyGh6yZhG2q9dOi6d7Qb1Mq/JBwoPT42rO0W3Drz4q8BMKN707VRE8E gIFpt+Mzwow2zeApbiB4ntunkUV4QoACZ4uCweyd7lDB//Oq98yUsUJBs+Nz AZuwzIniXFX/u3DVjBLWQDjdM845jB4G93xm6V2Ea6uP/DlFiwDo3kJbJJzl IWF6VigS8p3DJcTyeeBx3/91xEQk/DncIqxImJJjaTfOjYYVIVcFDhH+VlVV qVoTA3v8udRzhOPbtilbFD2Ep1NucjcIawiu7CxmxcHlxBiTp4THpHx2DzP/ hao3e25+IPxBvf+Rov8jCFlmn9JC2PjEp1Oh9Mfgeu2NxIoCHjgnu9ccpz0B /Y70U3cJ6+X+pgXKJEFghXZBBmESQ22/lVAy7DgrofqFcI1HbFL4RDIUFZrJ ShbywCrJ2WqU+xRmF9zs3hLWV6fdCzNNhUsDhqvbCCvl/MxXrkkFWqBftVAR D3hVh6XMi56Bk2qu8TnCvkPK34pYL6A59Hmd/AfiXp5ti6ek0mCGPccxJmwg GKXJZ6ZBjB2pzp/wCunFsPX+6eCQ/3m6n/CTvT8OBtNfAkw++F5dzIPy8PAP x2hZwEg91JVfwoOSwdYvyzOywGFa9iCplAfFhzZ21mx6A36BOv2HCVsL0kmp sm+hkerW94uwWcmc0nqFbMhJHmxcV86DI7radjLqORAveCWtqYIHh/5wXdzt c+CAzR3KVjYPjB7e8mp5lQP7U80ymYQNxmrDYrbkwhoU+NG4kugjy/a12Pb3 UGgpLt5WxYNtNNYYBvlQozH9Q/szD3Ra9s/ZBuTDIU272KeEtwYPkKvK80E2 WzdBspYHW3p0pYINCiBZoSZ4nrDak4adpCOFoLVfsKP9Kw/WSmN+06c/AMNQ dFVrAw+ERa5jA/alcFBXVK+hjQf9h/3FxtNKIdB50zd6Ow8+M8NlFnpLwW0h JG6ccHVYU8xdrTKQsp9+I9/Bg/sSQ6msjDL4mGWl4tHFA0klZTY7sRzsozPD rvbygLaPKSQVWgHrPEpAb5j4/98xlMfPKuB+xOKbYcKUkMei6ysqYENApU36 CA8GOWmS6iQ2pLxxC103xoM3pp9U9nqzQd7D86/0BPFvNlMGl50qwTh347Dh HA8O+9ND3ptXg/Fqxo5kCg46D8oNU25Wg0qTxGNfKg5rkxQpzOhqOCl//JDV MhxGSrrDGHXVsL3qRLCcKA5xi/TI1YYcaL7VEZEmhkOv38UE1x01oNk5EyMo g0OA76VsTclaMFtZX1xIw8E+vOK6nE4tVPT71ZRtxOE0S3m7sGktXGvx1atR w2Fj8e+8n/drwbH1I+rUwKFu7lLxffIXeOdQJi6nReTxYVQPjH0Bcq/izcad OOR7Xe543lAHs0rpZ6yO4PBC34ErP1YH2SUurIyjRD6ya8MDiXowiT+TOmuM gzvTt9LrVD3sUYL5lOM46KbEvD7WUg+xmX/mhM1wsO79VeLt+A3onpv3qdjg 0LZc7IGSSwM4n1p555MHDieHxEXPBTTAmh3Xrxl74fD5m+S9fyMbgJKWuPeH Nw5FsfJBotkNsEzzZvKEHw6P19M8JkcbQPQa/aFRMA5W2/Ze+HyjEe6P6Fge jsKh1cpB67pHEyxlKEd+zcQhrMfI8d/QJojsXP7EMwuHf+xVMopjm+DKxG4f 1bc4sLw6lLDcJjCC+rTgHBxsHh2XZo00wUsVo36LIhz6WrYtVF5tBpkz7FlL Dg4TpvOf5c62gD5iCVf9Ifr58QMDhxZQUE+Xfd2Hg7nNewOGdwu83F62Lm4A hwJnp5KsRy2wctsFQSc+Dr4Rv7IPtLSAUOLRUzsmcCB/YT+6ZvIdcjPHBJSF +SBuxLQtR1yYSjf6c5vGB4OMYth0ggvHFd6HcNX44Lkcl42lc8E1YGec1iY+ /Ko/UmsXyIVL3UGifVp8eGtB2bqKzYUl982uN3bxwdQ+aOa80Q+QzfPXJB/j QyTTK3z+WCswLM6+E3Hnw6rmy+92WreDm6gYo7WeD4i/b/C0Qzvc2iDSV9nI BxcRBaXrPu0g8D5W8H0LHxr0vkdlJrTDixgVkYR2PkQnGroq/myHWPagaWgf H6SubNy6/NxPqJ7L9W5b4oP8bP/rzvMdYLyZ8spXZwiUNzhmhFzsAnJ0l0ZR 0hCEdyqmMF27gNP7wlgidQgmWdxHsQFdMKnHKXV8MQQcuQN3nz/pAjjHjFd7 PQSOq+WvVLZ1wX/6RdLFRUNgTWZEB6r/AsPeh8tPfh+C55Pipp9SfkHMfrHx nWLDoNdxrXZfdDccSuI2Nt0ZhvLZAOPmhN8wuNpYN8JsBOxKOZySwD+gbOw9 v8QfgfhLafJSNn1gQ/+dy4gcBU2L7snFywOQZlmJmRiPQef48Tp0mAcWB2ub rYXGYaxLbqu0GR9mYrAhk6ZxiHzlfeXMmWHQyRO1tnv2F2hilGOeCSMgLRtB euYwAXkuAa8ikkahVDCox8NoEppVY7AT0WPA+q/OKUJmClSCmtTOxY8D+56c ytu5Kdhl2rU9KeEvzM980/rbMQ0dLiH6zPAJiPv0OrDu3Qy822W5ojJqElr0 03sME2ZB2ry6NT1kCo48MBAvcZsD6CFFfbo5DfOq0Lb22DzES9utoHnOwOAd ztT0zgUIfHL1zg77WdAVyGVrSS5CYt2jqgiXOXAIQvp95CXwc4oZWXd9HpzN a8r0RpaAR1eTtby4AEapu34X2pLQ/YVBoU7bRShWdIqT7SKhItxoeKXVErjo vixqPC6Avqvq9fyjQkKhN/3DX5QIIDv1S1oxz0nIXdvFBXYKonJza599CgLo pxebJp4uiLZZDGZIpgig6Qven14rkZFjkCF37xpBVKLuIX89lozu2lJmBWIE kfzpC2iHiBD6uI6+NChJRieqnbU5AUKocDGUrBFBRovxbSvtx4VQXc6BQaa4 EDpwaOWybmdhVLnBtio8WgglKpiPmgwKo+B8s5TuZcJolKV5P++sCDqr9PO8 NVMYDRj6kKZ/iKC5PK01mzARpB04kKZ2DEO+5IEvsbdE0CqnDet3l2JIWmUX XZWEoXgX1LVpNwV5OJn/XeaFoXZp1Y65LApaq8vg0Hww9P1r+WmBbAoqW3Bl 7ffDUELiyXqRHApaxmQaeN/GENnK5Kt4PgU9ecV+OHAPQ29XJuEbSymoql9n B+cxhrJkNhecrqcgyUti7iHFGJLr3ur/dpiCCjXWHUkpwRBX7ODpvFEKOj+m ofCxDEP31PdsLh6noPTbhlV/2RgKJTX0Vk9R0O5kP2nGVwyNu4d6di1R0MUO Xt7+TgwVl7xUF1tFRdjzmbDzvzAU4pK1WUqCijIdsQvePRiKfBGus0aSiibn lLB3/2Foddh3w42yVBQmb3VGcRhDUslRUbCBirR6rmzaO4oh216rVweVqKg5 w23JYhxDjiGz1UdVqEhhV1Ra5BSG1n4polqoUVEFKckncwZDllfbtpzXoCI7 TuZxzhyGrp2sM2dspiLRyCLl3gUMOZHjbttvoaLsM5yppSUMRU1vfeOylYr+ B5dYmtQ= "]]}, "Charting`Private`Tag$5812#4"]}}, {}, {}}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{"E(N=2)", None}, {"\[CapitalDelta]v", None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{0, 3}, {0., 0.9999999999999964}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ Opacity[1.], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3]], Directive[ Opacity[1.], RGBColor[0., 0.596078, 0.109804], CapForm["Butt"], AbsoluteThickness[3]]}, { HoldForm[ Placeholder[ Style[1, Smaller]]], HoldForm[ Placeholder[ Style[2, Smaller]]], HoldForm[ Placeholder[ Style[3, Smaller]]], HoldForm[ Placeholder[ Style[4, Smaller]]]}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{ 3.77099401693705*^9, 3.770994067491127*^9, 3.7709941058471518`*^9, 3.770994263234439*^9, {3.770995492810238*^9, 3.770995499852001*^9}, 3.770997389566435*^9, 3.771000689222254*^9, {3.771206437371719*^9, 3.771206453237711*^9}, {3.771206501488174*^9, 3.771206604424498*^9}, { 3.771206649795062*^9, 3.771206670826882*^9}}, CellLabel->"Out[27]=",ExpressionUUID->"2b7d2849-241d-4bc6-9d31-5dcbb0a7634a"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Asymmetric Hubbard dimer in the complex plane", "Title", CellChangeTimes->{{3.771205861440907*^9, 3.7712058664457693`*^9}, { 3.771205958757778*^9, 3.771205960876582*^9}, {3.785043242055691*^9, 3.785043251205803*^9}, {3.7850433260217247`*^9, 3.7850433467180977`*^9}},ExpressionUUID->"13ed8a0b-1929-4952-9c55-\ 170bbabc1ee8"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t_", ",", "U_", ",", "\[CapitalDelta]v_"}], "]"}], "=", RowBox[{ RowBox[{"Eigenvalues", "[", RowBox[{"(", "\[NoBreak]", GridBox[{ { RowBox[{ RowBox[{"-", "\[CapitalDelta]v"}], "+", "U"}], RowBox[{"-", "t"}], "t", "0"}, { RowBox[{"-", "t"}], "0", "0", RowBox[{"-", "t"}]}, {"t", "0", "0", "t"}, {"0", RowBox[{"-", "t"}], "t", RowBox[{"\[CapitalDelta]v", "+", "U"}]} }, GridBoxAlignment->{ "Columns" -> {{Center}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, "RowsIndexed" -> {}}, GridBoxSpacings->{"Columns" -> { Offset[0.27999999999999997`], { Offset[0.7]}, Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> { Offset[0.2], { Offset[0.4]}, Offset[0.2]}, "RowsIndexed" -> {}}], "\[NoBreak]", ")"}], "]"}], "//", "FullSimplify"}]}]], "Input", CellChangeTimes->{{3.7709931637513514`*^9, 3.770993176590556*^9}, { 3.7709932777367*^9, 3.77099327942887*^9}, {3.770993331447741*^9, 3.7709933322409363`*^9}, {3.770993413457896*^9, 3.7709934163221416`*^9}, 3.7709936625721397`*^9, 3.770993722454412*^9, {3.771206428657599*^9, 3.771206431871594*^9}, {3.771206519978797*^9, 3.7712065229706783`*^9}, 3.771206569353891*^9, {3.771206628498452*^9, 3.7712066691935263`*^9}, { 3.785045854286395*^9, 3.785045872934876*^9}}, CellLabel->"In[56]:=",ExpressionUUID->"80cc617b-8d43-4deb-9582-eb0c7abc5a76"], Cell[BoxData[ RowBox[{"{", RowBox[{"0", ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "1"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "2"}], "]"}], ",", RowBox[{"Root", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"4", " ", SuperscriptBox["t", "2"], " ", "U"}], "+", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "4"}], " ", SuperscriptBox["t", "2"]}], "+", SuperscriptBox["U", "2"], "-", SuperscriptBox["\[CapitalDelta]v", "2"]}], ")"}], " ", "#1"}], "-", RowBox[{"2", " ", "U", " ", SuperscriptBox["#1", "2"]}], "+", SuperscriptBox["#1", "3"]}], "&"}], ",", "3"}], "]"}]}], "}"}]], "Output", CellChangeTimes->{ 3.770993302172084*^9, 3.770993332749916*^9, 3.7709934168909473`*^9, { 3.77099365044234*^9, 3.7709936630184927`*^9}, 3.770993723283189*^9, 3.7709937649233932`*^9, 3.770994014549814*^9, 3.7710006872846107`*^9, 3.7712064325327187`*^9, 3.771206524187331*^9, 3.771206570707638*^9, { 3.771206647351513*^9, 3.77120666969728*^9}, 3.785044647952959*^9, 3.785044881119413*^9, 3.785045693444018*^9, {3.7850458552032747`*^9, 3.7850458735450087`*^9}}, CellLabel->"Out[56]=",ExpressionUUID->"b675e011-9ce9-4975-a90f-73d304abf7f2"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"\[CapitalDelta]v", "=", "1"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"Graphics3D", "[", RowBox[{"{", RowBox[{ RowBox[{"Specularity", "[", RowBox[{"White", ",", "30"}], "]"}], ",", "Gray", ",", RowBox[{"Opacity", "[", "0.2", "]"}], ",", RowBox[{"Sphere", "[", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "0", ",", "0"}], "}"}], ",", "1"}], "]"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{ RowBox[{"Re", "[", RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", RowBox[{"Ux", "+", RowBox[{"\[ImaginaryI]", " ", "Uy"}]}], ",", "\[CapitalDelta]v"}], "]"}], "]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], ",", RowBox[{"{", RowBox[{"Ux", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"Uy", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"Mesh", "\[Rule]", "None"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Directive", "[", RowBox[{"Red", ",", RowBox[{"Opacity", "[", "0.2", "]"}]}], "]"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{ RowBox[{"Re", "[", RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", RowBox[{"Ux", "+", RowBox[{"\[ImaginaryI]", " ", "Uy"}]}], ",", "\[CapitalDelta]v"}], "]"}], "]"}], "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}], ",", RowBox[{"{", RowBox[{"Ux", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"Uy", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"Mesh", "\[Rule]", "None"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Directive", "[", RowBox[{"Blue", ",", RowBox[{"Opacity", "[", "0.2", "]"}]}], "]"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{ RowBox[{"Re", "[", RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", RowBox[{"Ux", "+", RowBox[{"\[ImaginaryI]", " ", "Uy"}]}], ",", "\[CapitalDelta]v"}], "]"}], "]"}], "\[LeftDoubleBracket]", "4", "\[RightDoubleBracket]"}], ",", RowBox[{"{", RowBox[{"Ux", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"{", RowBox[{"Uy", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"Mesh", "\[Rule]", "None"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Directive", "[", RowBox[{"Green", ",", RowBox[{"Opacity", "[", "0.2", "]"}]}], "]"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "\[IndentingNewLine]", "\[IndentingNewLine]", "}"}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{{3.785045917974431*^9, 3.7850459296381273`*^9}, 3.78504603944388*^9, {3.78504608297202*^9, 3.785046213465311*^9}, { 3.7850465704495373`*^9, 3.78504678343108*^9}, {3.785046819782449*^9, 3.785046820036922*^9}, {3.78504789390261*^9, 3.7850480264610157`*^9}}, CellLabel-> "In[114]:=",ExpressionUUID->"559e131a-77c2-4494-8cbe-6e8c5470d5bf"], Cell[BoxData[ Graphics3DBox[{ {GrayLevel[0.5], Opacity[0.2], Specularity[ GrayLevel[1], 30], SphereBox[{0, 0, 0}, 1]}, { GraphicsComplex3DBox[CompressedData[" 1:eJx1mHlcjlkbx1sok2T52EKWLK81GYNR6rnt21hextaUbZo0lB7vDJpkpDTM YEyZUmQYsiU7MdPw3ElpkySVSrSi0EIllWY+PffvOu9cn/jnfHwd1znne1/3 9Vz36bPSbd5Xejo6Ott1dXT0/xkffuUR29hoKGN82eD50/jP28mfLZr0epp/ C+LBpuHqbao2smaaSW//frrEn6vcjx5N+0h2/PZ8cIRrnQbcWjX4eZCTgTyj Kc4b4vvji6/7vNaTVzTNLyXe3yIrMqDivca+iWcTN6tP8PUortHoNP25NQ7c cUGFyTtNuUatna8CT8vJnH2pLl+zRhuf+OnjDh3/sI/SzNHuh/ic1926dB13 Q+Os3T/xn+sa50mTbmqitOeVwBcdXGRnNPKWZrbWD/Hvrlq9PTYgBvsmnnmx u4OBM3HyOqzd8DonB+EZ46WsQUeCFgjP4MfveRePLxOewXv1DV+98QfhGXxU ++AMfVN98gyeZNvF8bcpjeQZPOFrz6WHVW/JM3hD5MAha0wqyDP4yhm+J/Ln FpBncGnYrP3TS2XyDL6/v/Mmh2+iyTO4w/DAJyk1seQZ3LpdQ2bYkTjyDO7z aNi9L9rEk2fwLX2jC9KuxZFn+CvvFDPgkpPwDJ5RkHT7qovwjLHz8G9nDzc2 Is8UZ71u6a0w4Rlc7+Oe292mCM/gf3kcy/GIEJ6Jl5Tk9YkWnsH9WsT4FQUI z+AVyW16O+oWkmfwp49+rJsy+yZ5Bs9aHKu3plMCeQbPvb72TfGeO+QZfGer +TlBM5PJM3i++qDxL6fvkGfwH0MOtYp3TSLP8BQWmmhwwk14Bv/iSfy2Az7C M/jIA532pw8SnjHO2VF68sI94Rk8+rzlsAEewjO4d83WU7t668jwDN56j1NA nGcteQa/8XNl/VXfSvIMfj1jVuslhUXkGfzK5ZqRz/QSyDN46rQJpxPjUskz uP2claP6rrhPnsHHnOvt2xicSp7Bl/dMG+Dpco88g+vmnLy7cWgKeYYPszI3 76MbhWfwSeuXqX2DhGfw5CGjLW9OFp7Bo7bFtL5dIzxjNDnx4pz9OeEZfPzh iIKWrsIz+Kl+l/Qjl78jz+DOwS0CUl++Js/gr1xtpzbWlpBn8LHOYZP9Tz0h z+B2b9/tGGGWQ57BD/SuutDD+CF5Bt/ad4f/0OXp5Blc993BXe4maeQZPHXN 2I5x7VPJM849+8TUDfWbhWdwdUrOmvWnhGdwv+KFgcX2wjP4zDX2LhO6iucH fmnEkKMOucIzxiTTM3XfXRKewZf3CY7ralNHnsHrz7SYNc6uijyDu+l2UQ3R KyfP4C7b1GcCTj8lz+AfRyxdfnddPnkGN2/3zvCCQy55Bt+3YllwVcJD8gxe eOOTwwft0skzeGjoRqO7p++TZ5yvfnXeok7ewjP4p6WDRu+4LDyDx1vqPZ/o IjyDu86aYT/GQngGD1qVuyX6vfAMfqE09PfsQuEZ4ytri0MxGcIz+DqN7vqI WdXkGdzS0CDE0rmCPIP7bLVo65pXQp7B/3o/I3ekcRF5Bm8skDqvrnpCnsE/ r3wsTTfPIc/gV+5U55iWZpBnOtdHF1c8uEF5LuMcg42PDfPyEZ7B1/6S/Z8v rwnP4J13v71yYp3wDB5yMuVO3SjhGfxCmTp3rpF4T8AjreY/3l4tPIOPdNx5 M9Cknv6OMdF6i9Nvh4VncIdA0zTzh8Iz+MlPtpbVZJWSZ3Cr0PTd4wqEZ/CA MzU3Pf3yyDN4t3G1RhurhGfwfmZ7Xsa5Z5Jn8PWHi/PO9npAnrFfns/gPJ/B E1g+g69l+QzO8xmc5zM4z2dwNctnjDyfwb1ZPoNHsnwGf8/yGXw+y2dwns90 LpbP2Bevz+BurD6D8/oMzusz+GVWn8ETWX0G5/UZvI7VZ/C1rD5jdGb1GXw4 q8/gvVh9Bg9g9Rk8n9Vn8COsPmN93m+AT2T9BjjvN8B5vwHO+w3wSazfAOf9 Bvgq1m+Al7B+A/xj1m9gnM/6DfB9rN8A38z6DfDG2n/3G+AprN/AOrx/Brdj /TP4WNY/035Z/wzO+2dw3j+D8/4Z/Drrn8FvsP4ZPJz1z+DJrH/GuJj1z+Cj Wf8Mvoz1z1TvWf+MePx7EDydfQ+Cd2Tfg+Bl7HsQXJd9D4L/yb4Hwfn3IPge 9j0I/pJ9D4IXs+9BOhf7HgTPZN+DGLez70Hwx+x7kOaz70H8P36/Ac7vN8D5 /QZ4T3a/AT6G3W+AJ7D7DfBEdr8BXs/uN8CXsvsN8FHsfgM8iN1vgNux+w1w fr+Bkd9vgG9m9xv49w/c10kfuK+TPnBfJ33gvk76wH2dNKT5+zqpW/P3ddKX zd/XSSnN39dJN5q/r5NmN39fJ/k1f18nLW7+vk7yaP6+Tnqo3NfdbIpTocpo 4jWaz/IzXr87l66Z1xSnUJWj5arR25dPiRr3mOaDT1Tm+y99bN9vuoGMUcfV zLPbexO6PwU/5l2iE7+4nYz44G3Cx317yy2D4oPfDf8s2P3AdeKIJ63S9yzu /6fmV+08CfMbgrJ3vex4m84LXjTHdNl6vdt0LoO5p350zdaTnQI/NXCPE+uC h3eIbWG4IZrmV3gXu7hmv9e03f3d4eiITJoPvq+yPOSsbSLNh89pijc8d3Cn lzVx7w7d18AjeEhqFy/fpHSKf107aqqMzlbdUuVTfPAJlYVbL0c9o/jgDQuW n4/NLaQ407T/T7P29EaDWq9iioN/t1Xi4O8Yy5V1ER/7tVP2j3lVWg8qP+YB PHmX1hvigG8aeNjQ8p88xPxWWv/SKvZcwEOV54LniufP8w2c5xu4Mcs38FQl 3zAfedRj36kz+gszeB5KNiwPMdYpeYi/Y76+2TcVjktiaP/Yr4W1xWLLNyYy W1fGuvCG/6f3/dK2lUOjeHxZV4mP+ZTPEwulSbtk4sjbzcw/6qXt6/SD18yy qC4hP5PDs1cP6i08oI726dh1wRi9XOKoo4dSO1x8cFX8juPf37L8RJ17sbNV 93nG92g+nnuksn/mTRqmeMN8+Hi2WesH88ALlTqAdXHeKmVdeMC5jhkdb2Wb U0gcPo4o/G2Tx1eqX5riV2sWVo4v9NifpRmdH97ev5+hjNHt9ucvutxvK+c2 7eepCnx4wovnJ/RSKA747JjyUjvnP4jj+dp0tg57WXgV8SXMfxRz/Pnw0bEa xO/p2skyO6JWM2C3X6TufhEfvHHoUT3z2ns0P1C7f9XrmL2DErrm0vyzm2bq +/drUDUaf59pqkrk55LWNX8u6VPlXGyfUrayT/iHT1Mlf7Au9jNV8YnzY/0H z6wSty5sR+vCv2Gsdv/IB3CDdc9+TbPMpvMinzXdQ1QFn9yndcF3f/3DzLSE B8TNtd5UtYo3cNRDLzYf552lPEesi3MUPRkSb/V/fsD/9zjWWnaMoflhWv8a T5NHrZ8PFM8R3LDNv58L8r2mrNzmy+S29F5gHZ8x0x8ETxHvBXjdCkuvsBGx PI5c3Xwc+evm48gNShy8L+jXbJYURx/dK+oG+JTuFx8mFch0rlP3N9hmR+jL d/47WG3jK5MH8KcxhzrUt0yh5wue0N4q01uWaV30g5tLvazye4jfa/BA56Je rzSxtG6PGGlNv+k6cu2d3CIPtXiPwCfnFF2b0EGsC27u4zvMRRNNnN67nW8s 3vRKJo58Lldr8xD7RN2zUuot1sV75648d8QBV19K+G2vk+hn0A9uYOcF38vO 65iUndbYqCslxU3yczWNpnXBp1eZhxR/JNYFH7u/y67SllH8fZTwPmI/6ENH s+cOPok994qs9icjXFtKS/Iu34h69BftB7z2rNPlfH2xH/BlSWbWRSZR/P2S cpt/v6R1yvvl0RQnkd7fsSnVlSFflVHfDh66JLCvu9EzTUzT/vPoORZk6Qye /7SI+jeMQUr/hroGHq/8bmp/zyopzsLC0pjs+oe0H9QfW7Yf8HC2H9S3UmU/ 8IB6NVKp//AG3lnJT8zHPiOVeki/I9o8l6Yo+U+/Iwp/r7wvlP8K76O8F+z3 S7JSfr8Qv0z7HOVW57TPF/PBHZR8QHxw/txXavNTtlPyFnHAU5U8RxxwWyWf wVFXPZT3C/FPa+uMVK3UH8QHj1fqFeKAJyt1CXHQj+3ZtOXkQcMUkedKPxZq u+6sSzfB0ScfYRx9EY+DPufyea/0Ef/4xHPF+1e879cgtXkuceRp11dGPqa+ WRrkJcbffRepQ/qK/MT+B3X6vdfkgeJeHlwveO6WrvsKKD9Rny9Mdh8/YuZj ioPzBvQ3t7/+wwuKA17tP/anIecKKQ7qrXrQm5ZLpz6hOPDD44C/ZXFQP+V2 rbJLdPMoDnxasHOBNwT9+1yohzPCbNxNYsW54P9BpMM3+R4lFAd8/p0dzld6 iTioYxPVW23G1uZq/gblHSbw "], {{ {RGBColor[1, 0, 0], Opacity[0.2], EdgeForm[None], StyleBox[GraphicsGroup3DBox[ TagBox[Polygon3DBox[CompressedData[" 1:eJxdmXmcl1UVh98X1xEIZRtExRlA1thjB9kcNhGGHUQYZFCRZUAQURYZHBBL xcQyFZUlM5e0zKw0NM1MDbPMMiNNK8tKLTUsV+g83ef9jJ/+OHO3c8/53nvP uff7e6d8wfIpNQ2yLNsbfw6L8s8htI8LaZalvsNDmtpPu0NIy5DSkBPzLCsJ eT3qLUKOCDnSccqjQpprg7G/hjQMac3ckEYhjUPaq4eNk8PeG1H+PeQkxz8T coJzmVMWcqw4yy2bigmfR4e0cw3Ybes47VaOl4Scok/wrg2/l+Rp/IIoTw1p GNJFvPh/y3rnkF76xnZXx1lTb/vw3801tAn5rOO0nw55MOShkM+5frAMypI/ 7A1xDjY2BI71IR2j3lddzqGPfpi/MsZHhTQKGawN5g8UL3b/aX1AyKkh3UN6 hAwP6emaqkImhVSGjHQ9+BnhOO13tTs2ZJTjrOM0SzC+F3IgZDQ4AlNZyDtR nxfl3JB+nGuUfxTPOG2yB1O1i72JYh0WckbIUNvj1R0s3mGuo9ISvKc7zl5O cT3Ynez4SNd/cpZiapo+K7TXw32ZLT58znLdtOfrD3tnOo7Ps0ImiHdmyBjn zHM94J3rOO1/qTMj5GztgXdJyBzt/dvxc0IWinV6yAJ12bNz1cHneZbgrXac Oee7HvAucny262QPiOml+gTjMkuw3xTyhZArQy4QK/5XuBe01+gb2ysdx//F 9uH/QtfAWlY5Tnu1faxjnesHyyb9YW+H/q8K2SC+mpD16tJeG7LY+Zc6vjzk Mm3gs1bc2N3oOO2btX11yEViYT2bxQ3Ga5xT636sFe9W189aPx9yiWNXOg7G Lzpvk37Wu45tYsVunRjxd626YL8h5AptbxELGK9zDhi3q0v7csfB9CXHmXej NsB+vXpg/7LjtH+apfvpByG3uB/bbN8d8o2Qb4fsCflqyE73hfXdqi7tr2kX P8dFvv/HNX095Cuu6aI8rQFb77uG3dq9Tux3ipsYXBD6bUM+8GyJzSpx7fAM 71KX9h36uVHcN7ums8LGnJDXoj4rypl5Wsc9jrOOvc6h7zaxsJ77xUffdyxZ 6/dcGz6/G3K77dqwvTHk3qh/33HWtCr6xoZ87H7f5ToedJz2mXnam/tCHg35 lvUn9Ye95e7B/JAfeTZgfExd2h8694chjzsO9qe0gc+fiBu7T4Q8YJvzJ06J 0X3GAXtDbhBfxNmFgfOMkGYhv3Y+9g7q89mQn1tnHc+JD7y/tATXLxxnrGXY OiJP4y9oj3W/KG7e0t9aErO/cZyxy2PelpBnor46yqkhLUIa5AnLyyGHxPmr kFfEh//ffwrvq/aB9y9Z4knwD3gD7zDvMRwHrlHwJko4xyI5EtwHDtRCvYIn 0W6gLjwGbgIHKbhMqXr7XR97Dw+Cb7R2Pv7bi6ksS+9ZwZ/gTnCmE51TcKYy fba13Vj9E8WHvYJDtVOPN523incHrtRBfEvkSgU/gmt0dg58oZd24SNd9dPN Nlh5Z7uLr6vzy51XvEs9P6XH+z/U9jDb7AG8A/4BV+rr2bS3738cRX5U8CD4 xgD9DbLdTt3e4oM7FHxqsHqve0Yl4houDoS3faLz4RcjtAtfGJvV8yR4CDzo NHFX5Ykbva3/Uc6HI8G34Afdot5aHgVffTNLnLCXfoa7L/CKCe7LRNtgh5uM z+p50iTnTc7q+d4U24PUHSdeuEPBy6aqd8D+CvHBN+AflYFtq3mHDbhGwaEo Z+kDvjBfrPCNOWKda5t7nft9mVirsnoONU+9Sm1UiWmBdpkPH1giJt5xuAU8 Cq4x3XVUO6fgTOeKb5HtaepXiw97i13H+eqNdc7MrJ4z4Zv3mze3Th9wj4I3 Ua5wPnxhjT5WqbfQ+atcH7rLxcddW3Cl1epVOV4jPnjHJc7H/2WOcX8XvIly vWta5xxsbFQPn7W2l6q7TnzYK3jZJvXq4swvC3lYXFtcP+88b+Dt+oB3FPyI 8grnwx2u0ceV6uHzKtu8QbzLN4tvW1b/Ll2t3kZtbBPXtdplPlzgJnHxhhec iPI617TdOXCg69UD3w2uo07d7eLDXsGnblSPs9yqjavEu8Nzu1z/cCG4zq4s caKd4mT+He4XvGi3vvAJ39jj+tC/VXzwjoKb3KbeNsdvEded2mU+XOA+x+A1 BSeivNs13eUcONE92oIj/SlLHGaHuujBoeAocIseUXaXm4Hjfv0VPOl+4wBO 8YCY4B7wjYXyoA/1/aBj+HjINhjhHfAP+NRe13C3fegRg/vUA9OjWeIc4IBj PCaOx23fZ9+j4oJjPCGmJ22D4ynbcLmPshTn+ONdLn7TP60eWPY5Rl58kqX7 sDzqpf7uxR+8ouBElM/qAx7zgrieU6/gSbSXy7MOihW+BYdpH31ZnnjNA479 WEwvahc+9ap24Eh5yO+yxJX2i7vgVczp+X+8CW70smvbrx74sFlwqFfUa8U3 lDx9B2jiunkr5kd9jPHUiW8b8vCTovxblvjSCVE/Kq/nW5Twl855GoOLNXUe 53we3z7y9D4fbckb3SfqjUP+EfWRUY6QAxyTJ54ER4KTUG+jbzDAs9Zpk7d2 cZTDrQ+NcoicZ4j8Du5zqTr4GuF4Z2PoBc+pVP9wD+553iTucvaplRyAkveV t7UiT3HDuw+XeNe5Y6zz/nR1n9E5Nk88bYZ7Tp39nx31493zxvrhOwzj76nD XPDwPh6wnzp3IvcUdxQ2qO/K0t30vuPTnIP+2Xk6Y+6Bjt513GWj83Te9LfL 0/mR76dbkgfnRL3au4ByvPlGLB8ynsflaT46m9Uhxz40JoiHCXmyS47U5ImX oDPZPmK5ublC7nSI+pF5yo8pedIj5k8JOcw8QZf8AsPhjpMLuTrk0VZ90Ue+ Yo9cOzdPucS8FXnC1Ex/R5qTvfL0XZX4XZqnmINbD8xTbvBboneevpMSv8Py FIsNjTnOlTMtM+b7R/20PMU93HdZnvKhkXlFfvH7g7yEaxJT3T2XbxobTeyH ezYxl8/PU76VGF/EzXRjmfoMYxObA4wR3rwijqjvMufeMO8m5unM2JNJebrL nieuPA/uoH6eRwtjkFjkLeyfp/Pj9yI8v9S1H+Ne4afK/KpwvaViO2C+sa62 5gjY2O82eboLuGtOcM8G5Kmem3etnTvQszsmS+dH/XX3Dx18lniO3BdtrKPf 1/USj4PE3CT6N+XpniT+4f/leT32ctfY3LmHzK+24j/eepHvxAQ5/7G5V+RK O8+6Qh1srnafiWG+33Zx7vvmM/ZnuOd/IOfVfylL31XQ2a1uJ/Vbqn+E+9fZ PeyhDvc4vId3l3cYn13d2zJxvG0cdnMfutjPvUds9BRDuTrveBd1d4345fyO sq+Hfpvapt7J/g/McWw2sOxn7LGffdyrldbJP868l2e6zFjs73lR597nbHt7 vqdoE8ycIXHwvGvsKn72rL/7zNsySl/EFm9TK20SN+QSdwL/vzg+S+Vg63yL GGKduBsoTvqG2l+8Z61dCzol2sDWm94nYOiUpXK49TfF11G/4OBe4vvACHVY P3XexKHq4Jf7aGRePz5S/YZie0tf+EaXbznTPAtifLTnxblXuOd8V+Od+Ngz HW0ckg/k1L3uOXdNpu5Y44RyjPUx9n9k3oyzn29d3FkFD+Ot4f2Cx1J/JEtz eJsednyC/c2sH9TOePspaX/ifXiG/WWui3iYoF/6R7on7BUxypvFu7bc+s+y dHdOs07fFOstrDdwPyvtr7SdO2+q/Z849oxxS87z5vHWwv/h0fxemOXe3mP7 XmOY+4J3brY6O72jZlvfqT6/NS6Ock2e7M5Sh3PbYOzzxpGrc/RPyb2zO0vf K/i2UqEe9b6e43zPjr556nCnUO9n3F5gnPMm8GYU41XqL9AOeCjP1ibnfo7x xnfdamMGnQXGZ3f1P/Csqz1H5i203lZ97Fdr8xHjBx3u7cXiJD+4l+AWL3kf 8C4X+c47Tf6S07R5d86zHx1sLHa95B25+pb2lxpXS+3vZH4vtl6iL+6hJeqD h9iD3xDjfBOuMZ65/7gTG+l/kRgq1SHGVjifeh/1yeUabRYxjM5B42SO5879 sNL44Kw3GXvs4SrPZax1zoX44jf2HnPwQnHWWG9m3Kw3Noh53kXyZqp1coTf 5tjZbrlGPHyjW1fEUpa+mZYaqxcb22eqD4YO6nS0XGt9jfq7PV9sYm+dOq3c q5XubUcxY4/3l7x4zdy51P0Zbh3dWveKPWG/+F1N7u61zt2F7gb10a3N63Vr 1VmvDntFm9/h2IAP8zvzGWN+s/qUddb3qY9OnTrFb2Z+lxbjdXl9Hzbh2/tt U6dvq+fyX25Pjbo= "]], Annotation[#, "Charting`Private`Tag$14298#1"]& ]], Lighting->"Neutral"]}, {}, {}, {}, {}}, {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0EtKglEABtDfR/ksHYTDpKGDhAIpRFdQEAU1qJkDIQc2rRXoCmoFtgJb ga2grMzSbBJEm+hcHJz7fdwXl7vVujrpxqIoOmZfCb1i+JFFylRpcsgFHW7o c8c9DzwSLjjiWa3JDcb6C6+8MeGdKR8k7DnlU2/LJDN9zhcLVs2d8a3vyRJP +oghA27pcc0l5xzQYJtN/qg7W5C7Msu6vkaeHL9hb1iTOzJNRk+TCm9hhWR4 O/EwH1v+3z/m+iD9 "]]}}, VertexNormals->CompressedData[" 1:eJx1eHk0le/bvUippEHSQCVFhaTSnCuVKRFS5jKUkkRmKUUokjmFUCGpzPN4 mQmZFZpM5zmGOJoHye+5T2+f9/1+1+d3/jlr3etZ93Pd17Xv/ey9RUyttU5y cnBwXJvCwcFF/w9Pr7RR8qcwKFr7pW74TVDfeq0wLY2ClT/3eKQGUyjQpbeu MCQI1Nd31TY+paBhusgS6wgKY48md4WWhwLnTa2GM3EUdAnyWoknUGh77qKf zrY7YH78Z05bGAUXQqSLfuVT+CSiqyLCLxIudK/2GXKn4P6BLyobOyg8MPWA 0PnuKLBYfu+MlxkFPcm6CmmTFO6sNOfiDY2Cp2bF12fupMDDgkNGT4qJ7TOK Vntq3gH0uKHFM5sC8QVmv0QOM/He8shWZut1sBjuenGDyYApMh/csw2ZmLc9 yTLTwgYPY1Sm0FsG1NSW7nYLS4MZr29mSiamgtgRp627XrFAbdHSRoZJAnyv EdGxv5EOImaJJgM9LLBY1HGl4kM4cD+fkaYklg6aHss+4wAL1F3d3C3rPcFC ULZI0D0VJC1q2q+PsiDa4RmrLkMEDXXcJwvbn4JUT961yY8smHYW26s8KFS6 aLP5R6M/XA/Nb+YooiDu5VnI9KQwoUHi8Zy3wTCYxVx3Pp+C9bV7fBp9KLzm dGpCd/VtWHN4r5tZJgW6u02jVEMprJCT0pyqdheyGPlllx9R8ODDrYEEuv/M +DzzhwL3IdN0/X2hEApEO9WeCD2jcE32sXKYjIXvQ+sUWecoePTa2Z6P7jMW h92/3BgPT/w08odkKahJndWSospEU2mti8VL4yDeI/PBMrqfm8PEpS5FMPGy v1pHXHMYDFbvfeJwhwHCzgZ3ctKYaPcj93mAqxvmKT3RSXBngN5I1RDIZ4Hj o1DztTtz4YaTPquhmAUGdus/tkomgG5qa7pkZB4IZEj7XmhgQbcRr/tu3yDw 26DZKa2WAwm+oZHPXrPASvTAsROpcjjdTLv1YEcGDPHmieoxWWA/Fuf96o4X ysmk7Bo5lwqvt+1ti6f7f+gid/RJBwo1RnTm+8X5Q4ad7qOdtRTsUffJcLSj +zMr3KhMOwSChqdJGNdRsFqpYfdjej3vl674nug7oComLM58RsHw5se6u50p rO06cZgjNAZgv32WXDkFm9JeaJ/0olAiY83a4+px0LuBzzg2nYIvetsSFsVS OFPgTM2B4USgtIoEFAIokJZWmHOkm8LEftlyHc5UsBtbJiinQoH5B85XmkeZ 2LlB+2hZfhoUXZi1W66GAZ+0VJe/mz2AWr36PcttE8GG8/Avo1kMaGwue8mr WAWNStt5dtXlgu/HWasGDFjAPSKToLcmD3jTup9H6pWDmPaV3EIXFvSWrV6n k3UPrMRyS29wl0G8jUTdRCILfnT6PIjpNMaDb6aGnFEpAuE9Db0ba1mw/M27 OzgSjNMcpdYun8gGh32uxpffsGDnvLudvKsj8GvAux3aH9LgUp6zgtQgC5xn MCp/m9PnXVVtaBPmBxJLA4L8Oyi4svkOfjtOYfOZeV7514JhQI1rIuktBTFx 1L1PuhT6q2wea7K8AxkHVjmJ91Og/2NTyN7D9D6xBtOOH78HnFv9m5YyKZDZ a9rVr0khZ8bPFxk6DyH2WU30iT4K+l2EXFIMKHz5wUc7hisFCvSlxNMb6flu jM6Z7U5huOmSD0HtWfBrYq3ip1sUzJK2L/FnUZhqunRSpKQY3u8z09s0zgDJ M9Lf3NQHcKxse3PL/HK44v6owG5vPzgcDRdcf+kl9FpJX59pUAv5md8EVKeP gPeLXTa3zdMhe9Ql7KtoMyxRbNpUXDwKMZ5H3z9c5Yu2DZtGRiVrwOZ3jHiP JQvktZYsrIqKxRIuruZtS0rhmXO19YVUFkiobq8xFkrABOGk2Zvzc8G0zt1C vZkFm0OuestNPMR5fit5ayAdkqbnbe/uZcGWr5nR3+i+2QtalJqrX4eab4JJ YRQFjG06olsPUthnc9e6SDgQShSt15z8SIFvasTuK7soFGv9+vNp1y1wMfMv suFgQt/6t2e2raVwvY++2imzaGifX6ceMZcJ1jP4hF/Po9AaOVqrCuNhW1n8 ZKEIEw4/yBAW+crAvDdrJ0z4U+Gt8s5H49JMMGio6d/SzsDtHSNNhxpz4cyR aWP7NjDh5tyfzOpYBu57psrh4lABEqlvnwpzMUHqGHXVq6Qfz+TE1V640QoX WZfsp2tQ4EQ9/RGo1oI11RWfQ4p7QeyXQO7J/QMwL3HtnetGRbg8rV7heVc7 SMb0NHJ1jcBdoX3+7f15aBk0k2/boVrYcWt2uJgYC/YZfpD4/j0bI3tq1MvW lUJrdEHXg1AWmNTExp6jMlC7ofRV/qUcUO5fIXOjggUL70Ua9/KkofRFj2Xt 91PB8r6M3mWaZ1zUxbTmq1E4BwMd7lS7g/fi2eJ+dD8Pr1KW+rmDwuL6eoOH P6/BYjFNjnz6XBH289bWraS/a3sOnFwVEQg5zjIfFZcwYZXsVJ3oKTQ+Q5tj BlJuw/plNpF625hQ7D5NyLuFgeO3OkraXO4D14bFtYtNmJC2K8piuR8DXWUf GweWPwb7kZtfdMOZMH7yN0/3IgamJNx+w6eVBYphawPuDDKBf2uw3fvt/Zi5 fZa1wp1SkGVt5D95agBOde3/rbysF6VNVgnszKuHZXDI9JjJIMD9sugTQ11Y +2sGbgtsgfH4LHMFj2HwPqdVKG/VjJHBjTEKpQ2gr+u7paRpBKRXC3dOl6zB 5iSbeTYVFbChfdPvWb9HId9tncIcrjL88nT8w7BJAejynXnCdZkFx9pyrUOZ BfhNeUFwkWU6HP7Zu6I1jwU7Vn5z2iOWjZzCLr8DPRJh6c/H2+e9ZIFyve3F OQo0D7jYGx1usYVQ3jn5939SEFG1fKe4NIVXT3RbMuNdYMqm1uPJc5hwbFft k2dzKdzIEmywHHeH2Q8CVl6TZIKLMJfHPgYD+9rSS/Nm+MISs2hLmSNMMHuq t/BoHAOfR9vOa/AMAWudnEc6gUyY8s0qPleOgdcObNJcpxIND26qCGvQ/Sw9 5eNgHUbjU9vYzHbRI7j72Cnlrt0AfKjnjTSy7sMNE1z7veZmgJrkKTPTQ4Og 2SPRN8usB5NlXCyOPi+Ay0GNSpdjh2B9jrR+mOVrTFh3u63fpQSG6+Ufvzz+ HiK/vBiz2teOuXPc7ExiisB31fQ45c8jcLErb39VcQO+ySlZFtabBZ7j0YcV P4xCxrDhUJ5VFc4ZGhT3706CvnYe0wV2LIg5Zh/1tLwEIyscSl9KxMHHx8eW cGewwCbIQ2eyMA9/Nc3pEcmOhEAZ8XKXVhZIh7TN3rmXwkWt1kpuE+Zyf/4p aJyv7Dm2ju6/7ewjn/l15P78M0G4f6/KoZkUcvz5XdEytPq1fBMTWPlM+NHF +Ge94t7SbUXHmeAt3hBzNeR/16u8fZvK7zNhx1hX0NuV/7tO/ZLRyJ02ADrB Xrz9Fv3/rDMCO+Jj4wYgoUp166ZNfcgpcS0sPFyl+M//IEi+Pbo7YlvPP88n pb8eC/o+BIH97fOGS15jZ8usrclhu+T+/L+HTQoCGmd3vkDlz+uWdk6RK/7z PwrLL8WMBZg2/bOPhfGCE+Ojo/DmyAT/vLHqf9a3uU4LcrZmQcZJDbej5aV4 ++CgTGGqdPGff/p7yjSJWD6t4J/na+04b+9oYYHw2WBngmft1Uf7lFps8erJ r0UEz63LPLcQPNeqTT7tiXfBUT+DE/+CZ/yL58Xi+j4EzwnRtxuzZ/jiulTW iX/BM/5/8Ix/8Txnmj4bz7la3ypoPKPRCWDj+bwj322CZ5Ol6oo0nvGZ2nlz gudz598wCZ77TLXNaTyjh039foLnt1UuxwmeDx0q6KHxjKHx9o8InhP997Hx 7KIUnkzjGR3ctsYSPDt6n2bjmXeJ824azzggosbGs6COMhvPK0LllWg849af wyYEz8N1rvcInr+6niR4xl5+BTaeQUREi+C5M54VszI7Eit557DxvJTx4Qjh Z6ktItLR1e5YMiAg+i/8jH/5Wf3A2BrCz1Oa2l+sjgjEe6/42Pw89dImNj87 v3OTZKbcxsQpD9j8rBfVt4Lw8xZ0KKL5GTWuBVX+Cz/jX34Ov3Ocl/CzhMW3 LpqfUTJ6qx/h5+GrM9n8vDXklzfNz9i9OWD+v/Az/uXn7hHL24SfR+Jd6ml+ RqPBXWx+Lg1rLyD8XBXzKonmZ3QuyZQl/ByzZtcbws8/vDsW0fyMXVPSJv6F n/EvP+smd7D5eZX5QQ+an3Fgw3QRws9Ym25L+Nmu1ZPwM96+k8fm53USAWy9 kfJoo6yl+nXcufvDU6I3XBVt2Hpj1+dlWoXCgTh7jg9bb1hsNdlD9MalmjPf ab2BC4S684nekDl17BzRG14fRpRpvYGq56xV/6/eOPNHb+BfvXF3i60o0Rs8 Ctzypvyp+ECJ7wHRG5ozeplEb/Q2vn5O6w3kiFgzQvSG5h43tt64lFU4j9Yb iNwGbL0xKbTQi+gNvknn57TeQNXWCluiN8RLRz8TvfES5v2m9QYKbapPI3rD ymGPH9EbsSIXlGm9gT94Qth6w+eWlxfRG5h7hIfWG3iy3ImtN07MlxImekNM i6lN6w3cfiyNrTfW+1cnEr3x1Dub6A3cEzuPrTcCBm+y9YbevM51tN7A0+OC bL0Rll7O1s9XSrzT7ML8UHmp1X/o54Y/+hn/Wz/f+KOf8b/18/Q/+hn/Wz9P prP1M/7VzxwjE7ZEP5cJHq6i9TO2LQiW/L/6+dYf/Yx/9bMaD38V0c+fxPe9 pfUzLsjfrU30s9XytT+IfvbtzGqj9TOqqwjkEf08Lqq0guhnt3dKB2j9jFu9 8wSJfhZZb3ue6OeQ/IFrtH5G+VXtskQ/X/fiiSX62eHBFqKf0flJ7H/o56I/ +hn/6mdtmbJuop8vnOJcQetnvDS+5T/0M98f/Yx/9bMj/0q2H9RpbrfwifPH TkcHth8MVXBi+0Fr7cLp5dohqHz38zriB+U2/WL7wZGsna1y0XewukyV7Qd3 zzhzhPjBhFaZ5MmQGJTi7sslfnDfHlMN4geT3i2Wov0gPt/ueIL4Qds5p+KI H5w0jK+j/SB2GN9cRPygpZbQfOIHDbIuP6X9IH567rCA+EGPsh8dxA9u1guf TvtBlN24Yw/xgyUf+9h+0D0yvneZbSIa+3Sw/eD2we19xA9KbArloP0g7mm7 L0r8oICo/n3iB7XWYBXtBzFLrJPtB53GC3YRP6jSZJ9P+0GsqTRj+8GtHEFs P+jabhBA+0FcXPSK7Qfztvv4ET/4IqtBhPaDuMMo+D/84Oc/fhD/+sG1clwt JN/4vqeS61ujP35PuttO8g011XB5km8cKsmSnfs2GM/bxK4h+cax7b9vkHyD j9fdSnf1bfyakexK8g2rwmf3SL4xd65UCZfaXazLvook33C5lMrON2I2B694 KHAfXV4os/ONN/nZ8STfCJLbPAyTsfh5MlOV5Buue9usSb7x7uwTCbfGeOwx 8S8h+YZIQF4lyTdkXycdLVoah/efv04l+YbqDkNRkm+UlI66xTWH4cIevmyS b/QdSg4l+UbEyZa2YFc3qONMMCD5xukjsW9JvrHUwFRn7c5c5DZOZOcby5P6 p7ZJJkDcN/0oycg89JY9xc43Nlobm5F8o/G5UJO0Wg7y38xg5xv3DynsN0mV wxRRaDrYkYGhFSX/kW/s/pNv4N9844paGjuvS+4/VqAffhMHjezYed2stIPs vG73D7u0gpAgrPzI+Le8Dv/mddbfdM1JXpfUbeipu+0OpjGsi0le58VtUkry uqkqp1Mi/SLRc9oDT5LXzSycCiSvu7YmgGXTHYVVdzscSF6Xchh2k7wutCBL hTc0ClM5eIJIXtf6vleC5HVNPfl7rmrewcSpErokr3t0sfQHyetWco8mDrZe x81vvTtJXhfmu8aP5HXWDX6ZGRY2UFmflUjyuhMfn7PzupVffyZKJqbiMr2b 7LwuxeJBIcnrFmR/VLG/kY6Zke3svC4uYpkZyeu+R5Y9URJLR7mADey8LkDa h53XRX6SzxJ0T8V9HR3svC45RSzsRYYIJtaGsgrbn6Ldjhp2XtdyK9E2azId FIcL7ig+eQ2jUaKj7R7v4awyBWcODOCMI4zgeZ4v0cM5ZUx+Yw8UnYw7RZ5/ +97vBv08LjkT9IE8H7Rx+nRRXwq7nvJMu5gYCEdfcBtdzKJgzd4wvbrrFGp9 UnY/qesPAnx7Ni7IoUBhvDDxyhUmZiSLPr1Q6QTF9Td+eeUwQGZyf+3RjmxQ oeKF3vmmQZGb283xOhbciLK79lgzE3I43hl9M0oCSRM3lXsdLKh9I7HZf8EG dMyNPLKxPhWmydi76dLnff0ot7U+zQ5Fo0tPGA8kQ1xnDv+3MRZoSk7w6n9m ophYvdpCKR+YfutyQPEWBszniG6+srcY+kzyaya88oGRnPBIIoIFcj4nRXZ9 GECdgvDnlTmx8KpOIFiDsx9mH5uZ/CqwEjJ0+b491KkBHo3vM9Z/GoVLN27v IH076myUQvcN1q20GyV9484NOx/R3Q7BPpVt8koM+HDjWcrCPQxYwbUun1Mq Fle0Hhv8atIER3U5fIUHR+HanAcrz0Y3I8vPPtb53ks41RC15+Gp9yBiHj38 wq4bgxYFX4yBlyCvuWV41psBmN0z/d2bqg4U/Vg63XCyE6pfNms+vjgE6m59 q+TTXmLETUNlJ5Fn8CNPeZsg3wgUCk6Mkn2U3I+ep/dBqceR7H2u/897B/+8 F0//z3vrvra6k/qFelIL6PpRMDW3gtQvo+KSQPrA1VwySPcBs0YGZpI+HBjN WU76Viq6SrEmJxa1fxUFkb7d63nrFHqoAYxyg59ZSZbgY/N1DPPWUWCqGiwk cxk+oS8iIOWDM0emeJG5lGyz7SZz4VE+mkbPBXnPFLHncmbWBA/BW81b7RmX EgPxkES/PsHbnJlP2XjTvHndyUzXH/M4j7Lxxrv6XirB2/wpkmddKp3QYr3w F4K3fmlGDsGbi8aVRTTe8IldIRtvwqbl9x3oe/pCK392d9h5NIv21j9G31OZ Bx/DCQ4v17ep0ThExW9GbBy29K1n4zBWuVSLxiHybLzAxiHvqLsWl4oteOfk P9/yNRnvRAxNG6Fx2Pb9hZVYIIWJaUuuGq0MhM9OtxQjUyg4/YzzLnmv8rXd W3rCzoPr7wRj8t7ZXSavPtL1Gy/OXRo97IApUiHS8+n69Xi2JJP9HcOPdND7 w9cr79j7z62c7r/iKxNVbxsdkrT0RkmJ4aTRzQzYrVN7gfT/wzfeHrr/IG68 tZ/0f7KNf8n7rkHcGezNEcGTBy2jiavHbvfC5q+yuS4HbdA79OyspmXtoHj5 fvkU2VH4MmUwT1e1DCW22PBQtm/g0XJ9M7OZ7yG3cUmUdnw7/vTctXZBajOM tL9MU3n2HqZLpvYRfA7Zdc+i8YmBe3MPEXyubl3De39NNeysG4/ZxtuKI5cK WmdOjkDE9/YgUn/B3vePJCy94ZJlYiKp36qi5RTpW2hlgJDhykA0WdB8kPRN hK+nlfRHZsDOne4PLAhN3Ur6cyGGteY5zQNVfVGHaR7A7VHVbB4ou/Oah7xX z66/gH4vsKY4NpL3iqXd3GfztgdFWT4GVtPewqqZam8L+xnwVltrP1nXKy82 ptfxc2jfK7JusWX78ByTWOzf11Tj+bAX0t5dkgv8MQh503KW6vpRuO+jvrGu aQB06Dl5OWVQMDD19a/Oc0y8XhFdkCy/Bj6p1B2vqGXAUFgo9/jbbKg08/6o p5UEvpnN0sW03otLsbPw9c4CqRlFe268fwxfnk5oRtH+pXvyhkR+njia3LVv Bv4UOH50VwGDPteFOaFnNaqHMdfoyNaiaQ9hYaDRy4aH78DMwe6q/rJmyDPW zrKM7QSvoVmck/S8noj/WptS9wpF6kYPT11A4ZhEy8mf13oh05pDfc6lBnBI OqHB016LnzKdVqfojoLGULwwOZdFaLqunmkAPj/ieJWcy473yE9yLiMuRf6f 8mtw7UMPU3IurU8/V6TQdYb5f66j60T7XHl2nbNKNEsIfjxWbif4QYXk1Wz8 cJkPnp1L97P87APST/wxXY7dz7NW/jMjb1DYmqKmXMrhD5eyWOs0aR0VIH1o F6m/X1RWga4fXNTcbEj9Aq/552fEFuH1mZJNPS8pYBRzb+xeTMFSpUnurqYh VK+N7tjP/xp4WyT0NSvbwMFzWtewZgVMpLEW8e/vgSfXv9V4OgzBAd+jXqRv FU2WN+m+4S+tnpmkb2dUNN6R5+dX/Z5NP4+Gal2N5Hmp50nsOUofE6+n54g8 NZ/Zcyzg1N5VacTEgAmTvY5mohDOYTB9wRsGeJXt3KKQZgy7ZXWzBqkksFjr O5eD/i4XSHL/MokexEnXdCZ/qCs0Toylu0v2gVDD52PsuaQZmdBzgdO8TqJk LsUaW+pEAyg8UhzcsWTAH6svna/PT6VA6GB1UJAVE4X9DF+l99qCv9OTiqn1 DDg4NlKkss0MjTcEdH3pTsIbMSlbptLvPbrJ8BnZZ6OqJveiAX/ItfZuIPuU t/R5kH2WFK76kdNri3aWEW3/sg/83UeQ/9iKd6lM9Mm+LvC5+gp4vnhvf9WD AcnBcZ29M/Ph1LJ94uKqWRAW/EzwWy4Lwo2qKz5ZFUP8fYXaKMUsUIo+wKSl JsxNTeWb18bEFsPNN3IU5YFr6sCzAQMGfA37+r69iYm3fLyLU7U9cMR13SPu 4wxYNNe/UVNnAJ0K4z48fhoKoWdjahXL+2GbunH48HgpCCXtsg9XKoWvY/LD E6a0j+BZ7Wy/sBpMR4VjvB6XgqX8Kp3htSxYoeUhpJ4ygClpvEEf4kyBkyfe 8bNhPxTrJcX1xD2De6J9jAsfC8B+s/fuUXEWuAz9Nt9Z+Qb6f7SGr7Rth5OB ruMrtg3Br0UlE+k0Dg/mwTsahxh28c1KgsNGoccChG9Lio69DefJw5UNnpKE bx98vMKee5Fj1je+UFcM5z7Nnvu+9WqOK71aYBqn2AOFJ+XIMztFrnHnKMT0 LGaft/5r8Ab6vPg8VaeOnPdE/C32eecl21nQ58WHPDHs85rVXFVYqVEG3dxu bxbdyceFutsPjrmxIP9XpMOxtQPYd//BnJRYDTRedVh323g/+KRsWbq6uBw6 Wg64MrWyUagsdZUp/bxPqgv7Pq5JcJMr5/BH8dYu9n08zVe4nMxdcXeOyJfq K6gpG+xA5r7ZKKqczH3z8RApeu74+TPHIjL36IjKKdOX5sPhii49ce80zMxQ Of2zlAXzuifOmIbT883seby5ahNuNVyUlXSXAYVD8/ksbzNR/V2h17t0F1hy b/XmsGgGGLp6ArlfNZ+KWzzNRHG10Ucucr88pMYocr/2SRQ8pu8XHi4MYd+v Isd87+x7FPpUz6+dMa0G8056G2ATA+qco3s9hZj4+ny4D//CJkw5WeYTG90P j8vcJK6FMzDNZvei67ReMj/LWjzh1w/fa+bN5qL1W0Avby+t33DZlkq2fvP+ PrbHmf5uHniZMZX+bmKWTXMF+W4KHz29Lr7iEQrwZ3JOTe5Ek8y1y9YojEBX 4nIvUs9NY58Wuh7QNo40JPXcddIYIvVsFcryo+uBw2uvXSH1lOw0kyL1YMty IboeePm7YyGp50mvrw3h//sS6/YVTnuICXFL6gn/N6ptdyb4tN3FYUDjE/O9 bLhEaHwane1QJXyopcqZvo//NWalJV8mfCh5yp+N/86seSkv4kzRdzKZjX8v C76L5L74upqF0/cFd3asZd8XvfTscHIvKjlzGul7gVdWmcuRezGUbHiefL/0 b3PL0d8v1Lk1xP5+9Ub9me/trTU/dKs2QcTyP/P1WmM/m+DBJ93rNI0H8Bvi ZOMh64c3D5n7TNvns+i5Y7Se7A4y99lXhC8Q3O6vWe6TF6sBc7JWHCa4ldw5 IEtwnmAg85XGOSxa5sTG+Y9yRUGC58ffVHxoPMOGwD94fmmrbU3ul2B2Rxx9 v+CochyQ+5Uf2SpA+IdvXKarQFEe0xM/lBL+8Vxwq57w1aIoGcJXuLFNks1X oe6HWISX8jSEBdO1PSDU4EI84aVXC8RWWP5k4kMhjWfd95RgkzKl17yBAVWx bfo7+QfxWdqw+Tzfc1BSullXp6cPVAPsdck6q+1U6gzfczgeCgZkXX7ksRDZ R3a2eXvlPSW09+0wIvscdxS55O1Brx8a1h0vXo+6ZVOO+WQxoCvafp2XYBV+ 0Na97hzTgOriMmLWIaPwXSExmlelAPOzbUE3vwkXdwTR92kUsobGuab3paKt jkWE0LJWNE7oRCWnUVAOLb7rH0L7ppOnGq/tSQCK7/yMa2EMuFi3KqjzORMH 1UuuL/K8B92OyosdDBkQ67gxka+CiV9WC8om7wqBiejFKgGWDFD3elNoksLE tm2jrhttciGStUKi8iADbptcLLbRGEC9AWYWc3sWOCc5Rp1+0A9lRRPWslYD +MTQKk488REMlPC8MozqB6uZAWVknzXFZ/jpfXBG1xMxsk9x+P5yss/JkhBX eh8UWF1xh+zzRXr3rYzeAWQuP6y+uiEHrwkKZJoz+oCSP32PnEvOQu8NfS5U /W3CTc7l6dl9nZwrZ91dPfpcuHBr7EpyLhFH2yiNWQMYKmCQWW0Wha25M5K8 FzFAMXtOlbw+Ez87Rh7k5gvHWyxLFTmaf8SfLjziaMtEvxd713R5B+KL83GW GpUMaEmh5g8FMFHewCjs9mtf1GqrHvsSz4D/B8tCazk= "]], {}}, { GraphicsComplex3DBox[CompressedData[" 1:eJx1mnlcVdUWx1EUTByyQjJNRTEcshxeZsrzHIdSQq1wKtEGRZPEqdIc8mmi mUPCI3MowTInHEkRB5BzVdRSUyREBBzAEcUBBwpKeH3O2r/ffXdH/uH53K/r rrP2b6+99trb6ztsXPCIym5ubn5//eX+1/PMiKmHyss9HXjWWXDs7J+b3Ry9 B/W41yu6CnnhTMeG22NLLatXrcbRfpXITy35avawcfes0I/jlyeO+cMC/+LX rMzPN1+zXrX93Ccf0HJ7/PNzMqz3bPsb5GF9L5TMmL3DGGLzHHKP8UfabOu4 1nCz/6QGgLupP+PF3gD3FntrtPgnDxf/1msSD/lYiccYJfGTfy3xG/tkvCZ4 jozX6Cv6kBeJPvg+eVXRk5+ha9TZ9EspaU6d8Zw+/GLlWMupM/hW3361nvrJ qTN4QVqH+3cGF1Bn8JHda317OuIUdQZPDkqfULAziTqDP96nbfIn1TdRZ3Bd Z/AmYk+dwQ+Lf+oMPlXioc7gxRI/dQZPkvFSZ/Dlog911vSkztBvxfL7JyaW OHUG/667l/FMsz+oM575zXLKhnS/T53BX4k7/Ylj3HXqDB43cHH+zLDT1Bk8 Ny6gY+Jtizpz3UQlv95rdzx1Btd1Br8i9tQZfJb4p87gDomHOoO/LvFTZ/Br Ml7qDL5a9KHOmp7UGTqdiwmeYj7jzFdw79XtfvGKceoI/uaTA1vXv+zUGU+3 rNShaxoXUmdwz+nnc/Lm5VBn8Kpde7UOabObOoNXaXRzyJOTN1Bn+td0Bm8g 9tQZvK1p+6fO4E0kHuoMXk3ip87gITJe6gzuI/pQZ01P6gw97j21Yn5RsFNn 8OZFU2rvrP8ndQbvmjG2x4nYB9QFPLfv2qhjQ2/xM55P/zv3ZOA3edQZ/IFx YP3K7oct6Ax+M3LesofDN1jQGVzXGdw9yrY3oDN4ZdP2b0BncH+JhzqD50v8 1Bn8ZRkvdQZvLfpQZ/D7oid1xrg3Tkj4bOYUp87gjxSGDr2w0KkzeNfnLu7u GFRMncFfXLJ2Rf9ud6gXeGTvA9992vUyP+NZq0anSy98eJo6g3umxz819vwB 6gyu6wxeT+ypM/iT4p86gy+ReKgzeBeJnzqDd5fxUmfwmqIPdQbfJHpSZ4zv dodR87Z+5dQZvG2nP06fyXbqDO6WEl4WvN+pM/gtq3DO9hKnzuCz9+ZvDBx8 lTqC1/jkt09OB+fyM56xrWb2adfpCHXmezWdwRPEnjqD+4h/6gy+UOKhzuBF Ej91Bq8s46XOmj7UGfyO6Gm69kmpAWFzr9Z8sMKpM3iMe8quyGKnzuCZgzxO Dyx06sy8G9u5pH3HIst1nacGrOrml9fA/ZrlmpepAZ4jWgYt2HXWctUxNSBr WPt7nbyO8bPrMyEAOoPfEHvqDO4t/qkzeJzEQ53BR0j81JnxyHipM/hK0Yc6 g4eLntQZ8d7R8hn8OS2fwR/udc1ncD2fwfV8Bq+m5TP4Ci2fXXV15jOe8Vo+ g3tr+Qy+QMtncD2fwStp+Qz+vJbP4Le1fEZcm7T6DF5dq8/gen0G76TVZ/CF Wn0Gf0Srz+CVtPrsmqdOncHdtfqMZ32tPoMv1uozeIBWn8H1+gxeS6vP4Bu1 +oz36/0GeEut3wA3tX6D5y2t3wCvr/Ub4OlavwG+U+s3XNe9U2fwnEjXfgP8 puHab+DZTOs3wPO0fgO8h9ZvgOv9hqYndcZ7zmr9M/jjWv8MPkjrn8Eraf0z eBWtfwbPN137Z/CWWv/sWkedOoO31fpn8Cla/wz+mNY/46n3z+CDtf4ZXO+f wc9r/TP8faOdB8H18yC4fh4ED9TOg+AJ2nkQPF07D4JnaOdB133JqTP4de08 CP6mdh4ET9bOg+D6eRDPi9p5EHyNdh4E18+D+F6kdr8B/ql2vwG+S7vfAL+p 3W+Ah2v3G+C7tfsNcC/tfsN1n3fqDO6p3W+AH9DuNzgu7X4DXL/fAN+j3W/g OVO73wDX7zfw7x4V39eZNyu+rzP/4b7OnF/xfZ0ZVPF9nfl+xfd1pmfF93V/ 0xm8bsX3deb4iu/rzAkV39eZURXf15nZFd/Xmbcrvq8zcV/Xy7a/ZJ22+W9W dvaNtztGbjSC7fceJT/6Zcji5Xf6G1OFG+ABi2xuBYsf8uY5th9rvx1nEfm0 H6fVjh+ZRv975d+tgBOXPnjn0gYL/sGHCac9/Plq9uDByh7fz5X3GqHyXgvj BR+c4zpe8C5RruMFnxzlOl7whWq80W+fH+IX6OHAc+Tj554trV7Ge17wESF1 8hanuDkQJ/j365o18ynYxTjBGz5ad3rc19sMcPjLTXnJkT4x3kA8sG8i9tQL PFf8Uy/uG2eXfbHs+E5jsdiZsB8l8TN/tPhNxO/xety8MTmVHU+FB6ydEZnM +MFHJn00PnznTsYJPlE44wQfLn44j0WzroSPySmz7t+acLPT0v30D56W1ndP jWynPfItTM073gv7XLHne8Hb3Lb9M07Uj27hO3+ZvCCZ9QH+M6d4+fRKWsB5 wfsn/hzReEf2YZ5PYH986cVVqefmsg6APzvJ9sNx4VnvtTlfrNyUzvjhf5b4 5zyCr/txc9UFPXMZP56NxQ8/43uTlB98H3yp+GEc4KFqXKiH4HfTwgd89EEy 40Q9CwxqHOrfI5H3LFgvQ6eLbvAD3nKZrQ/1fCDzYhxR84v3wf5TVU/AYd9E zSPGBV6o8gfxgNdvF1PzVt5e6gOep/IE8wX+fVvbnvNdTfLW1PMffLiW/+Dh Wv6Dv6vyH+sN63KUVk/A9XoCnqHVE3BvVU9gj/XtL3XA0uqMeVarM/Djq9UZ 8Jrrpc7AHn7yxY+l1R9zk1Z/8Byj6g8+w/6/77/23tCrD6kP9PhSuKWNy9FC jQvzju+VrBr48qMhf4vTcUXFiXmHvdsPtr2lxeOIVPHAP+qYu9v1Z0uTLJ7L wGsLZzyoP34qDxE/6k/7sHLf+IjDjAf2h1QeYr7Q14yUdUfOfI9Mv1JeOY11 Ce9peNJev4wTvPPw/oERl5x1A/9eKn44Xsynv9jzvehfWkn95Pe5z0r95Pdh X1/GS/9YFw/LC1z0BPdUemr5YC5U+QA/mLff1bzz3kFxDzW/+L62vkzoAJ2n qPqG8aLutVH6Z9h+rlpRtp9iq/jmxiXuk2Osg/Z48wzwD/tfv+e35isjSbi1 RLiR2M/m1jnxY4CnFtp+jA75m+pE+3k68ExI7zL63LZy65adH7cs8NL2/o2f DllsIB7wmk0jt+zrlECOfG4d0Wj/5mrbDbwX9nXF3vpd/JPnt7X9k8PPlil9 r1gpX+N9JuwTJU4DcTYc490mJ7HE6vrIyaBZcxI4XvDu/VIatotL5brGc5na pzC/4M+pPERe4blS7Y8YL/ScKXpyvrZMC3KP9ntoFHY8c7BW5QMGxgX+cdPS KT7L/qa/uaNi/c1TSn9NT9NH6anpY8YrfbA/sg+X/oF5gvwZLfnD/RfrqKfq W5CfqCevqPWI8ULnFqIz7zexTj+TfZn5gXG3cJsVWzfRzYFxbRB9rDLRjXkO /8EDPSo1vbiZcYL7vh7xfY+kXdQf4/0hptnRcakO6sD9VuqVBR2q2HXgrtX2 sfItz5QkMX+gT8gtWS/g8J8n/lkPuQ+reoj4pc7cNdqJf+rWROI3GindwKGb Q8WvrTuzhlp32joyT6p1hPyB3u6f2uuI8YO3l3VKv+DnZ7+aXm+Vc31hXkp9 7bylzuB3VZ5DT4yrr8wX6xt4FZkvxgPeWa1TjAs8TtY17aFPw1jRH/nE86zE z3WN8S3NKuu57kIi6zb4cuGs2+DNJT9Nzb8jp2L/juUV+3f8g38H/CMvcT+R 9aBF6xc/2MN1x997RMXs/8l9B/Mh7tdJXXIS3R2HRgROW+e1h/MFXq/VwkNz Ls/lPgjef3DJK+NWOftV+E8R/6x74B2K7XiYb/AT6G/753oBPy7xsN8Af0fe y3WIe5c1Ta780C/N4njB70+9EPzH7D0cb4OD5mi/QDfH3D93dbmW5eB4wc/X n2qEPz2d8wL+60GvB/0ftzhe+C8X/xwveKbEw/HCj0dT2z/zEDxa4uF4wZfK exkP6pXlvfKns29sZ71AXW2l+ha8F/abVf7DP/ib4ofvhb92qu+CzugrfHMn dH4vKZP1AfvXd8MKmr814GfGCd5m7zWr+vBd1If9ifhhnLA/JH4YJ3iY+GE8 2F9ujJK+FPFgf9ym6gziAd8YU7SwrEEy9Qf/Xe0XeC/4E2LPfMO910ot38CL tHwLPZaTUV5eydyYsOrQ9dV7mW/gS/w8Wzw7+0OuL/D1y2IHNgtyMN/gv9I0 13wDf6jlG/x0aGz75/oC3yHxOH+Ho3iEvFffZ82Wap+FDrjn8yl2rTPgCVqd Kcqusz5xTFUz6D9Gu0dvJFIH8FcWVPL2yo2iDuBDstxX3SjebWj7kVl7muxH 0Ie/q9LqD/ggrf7A/zPz7fdSH/B+EqfzvKP4SInH0vZB8/mK90HzrNoH4Qf7 0WC17uAH+dxjRKMhmVVT2bcg/y3pw5n/6P+f09Yj+o1kbT2CT1frEfboQzbf 8vm2z3EHdYP/l7R1Cj85ap2Cw0+W+OF8cV9WfTXiAc9SdQz22Je/VfGwP5d6 aPZpIPWZfaPin6t6zjqp+HZVt9nPKx6p6i3rpOK3G0l9Zp1UfJKqw9o5xfRX 5xTt3GEOmyrnDsR/W/LHMXuh5Dn8gKt8Y/zgQ1X+I37wASo/8V7w6HmSz4gf fLTKW8QzTNa7Y1FzqT+IB3yLqleIB3ybqkuIBzxB1RPEA97UV+oP4gGPVHUG /tEHrlX1GX7AR6jzDvyAV1X12c/OpwJjRkHPaWNyfjdePH5kWYtpBxgP8uqQ lp8bpa8wF6k+BzqA71V9EX+vpvhrqv+BDuCqj+J7wcc0lz6HvwNQPET1M4gH 9zOtz/W60/Dtz+gf/EzgvPnVf06iPe5hNmfdM/dM+r86pviSiAODxhbuoz3u D7OUPTjuMbqdd30veLr2XtxLHPoz4c7hlGjag6994nrH1XN28P9HEM/lVvH9 IrNjeN4Bv3o0Y090XDzrHuZ3sjX+syUpOyz8/wjiTxY/PJeBnxQ/PEdgHx8o foxt9uebzJOC5OYf9dkQy3MW+q7ay2uEeLRM5DkR/E7fhG3N05w64Ny37vrE xdNDM8hRP7vtbz/njcw0xo86X3ywd3ymY7HRzbbLYJzveHX1/LLnGtZTzHto 7yN9yqLy6Rf81JYnvi0KymQc6JO7t8/4eMbhY9Qf9sWrF93otyiW+oP7zr38 oLTuVuoPP4vWJOR1jt7GfYL3fv7jFoS5Oe/7wL13Dj75oPYZxgPd/AZNjS4b m0Y/WI95b/5wccBHV5y/l1U8pN/JhxOqn6cf7INFEUlXzbey6Qfzvk+LB/wR LR7oXLv6vNHrwtLpB3mu68z813RGv/TOk9VOzXz/OHWG/T1NZ/B6ms7wM/+l dXldYhMYD9ZRmc+J1hsO5DEe8Htvf1zy7t0MxoP+ZOvwlv671hxlPLDP27f+ RKjPcsYDfqnrwbEvu8UxHvjpVr61dtjceM4H4rom88U+HvxDmS/eU6BP8Jxt zxc5zh0X2l374Me4U6zLyJ9jMo/kONc4znm9kOBzmf0Q/KwpHTRy3b/yjf8B Aq/T4A== "], {{ {RGBColor[0, 0, 1], Opacity[0.2], EdgeForm[None], StyleBox[GraphicsGroup3DBox[ TagBox[Polygon3DBox[CompressedData[" 1:eJxNmgn8llMWx5/7llJpTyXtJWLGqCRLQ6XQrLSgCSnKkkq2GDRIlqYkwqRI iRFly9rYaqgpkpiJrJmxTCsTUZbM+Xa/7+ff5/Oez7333HPPOfc+957zu8/z thoyqs/IUlEUmysVRfyKL4No1w1qFFQ1aPeg+kXurxz061QUPwvaEvV6ytP3 lfINgxo7rlrQCSG7PcptQb+L+oFBW6PeQH27Be0dVCNoj6CmljWDmlnWCvop xvUP6hfUMtp19LO1fuBj5XCmUinrrhpllVL2ZXOMmRTUIaidPjK/TdG+Ieig oG/0oUnQj5btg36uH82DDtBXfGylfWzvrzx9vwhqUWQff6Ys47/X7j5BB9mP jurhY7WgNlHvbD8+fhk+3RF0cNC3+Be0b/C7Ob4Da6L8wTyHlP09lDUpZZ8O Czoy6ED96u64jkFHyUPX4c6B+R1hie9LQ2efoMpBpwX9W1u/DfqluntrBx3/ cQ49g6qE/CdRHhJ0XtT7BlUNahW+tQj6TF9a+Qybl7Ke44K+CLlbgjoG/Vqf ugb9Sju0f6d95vF7S9bmeEvmelvQ+KDrgs4NXecE7RbUJei/wesV9Af1Yqd6 8I+N8sSgk/WF+R0a/GpBx0R9gDzGnBL0G9djSFCfoL5Bp8rDx5OKrBNdg/QV H0+3PCFo95THDg763PVDzxmW/YKGBvXXt2GW6B4eNFBfzrPE/jn6yvzOUpY5 naZf+DFCWXijtc88RukrPp6pfWyPVJa+C5TFx/OVZfyF8hh3kSW+X2yJ7+OU o3+M/p0ddKklvv+RZ+b8Lrdkftc6Dn1XyGMeY/UP36/SJ+Z0pf30XS0P3/+k LHLXyMMn9hl7n3M/XjuXBN2sXnRMUi82r3cO+H5j0GX6PsES3/9sib/XqY8x E+VdKW+YazFZ/7B3k3Zo10jZ1ylBt+g3a3mrJWsz1RLfb9cePnK22Lfswzv1 D78OD501U57TdHn4tU4/7g6a5twYUztka6Xs14go17s2s/UJX74O/tNB3YPm 6BNn8T5L/LpXWfr+GnRH0F+C5moPHx9XL7JXhK7eQV3xN2LFHqXs74pozwyq G3RcUL2gjcHfpO/zg+4K3h4pr9sZUW6OcmbQA9rE3mNBs7TXIOX6o0ELtM88 nrBkHk8F3a/vJ6Y8d8Y8LQ/dz1gyp+0p+/Jc0FLl6P9r8PcKahxUP+ZUL+jZ 4D+v7w8HbYm+eUFHBn0f9B2yQS/pI76/EvSkfu2ZMv/FoCXysLdIWdZ1seUC 1+AGn/HeMfZvUS4PelO5vwc1DL/2LGW/3iiybfQ1S9nO60F1or920INR/yr4 jwUdFdQ8Zf/+GfRqkfWzDqvUgY1/OQf8Xanv2NiLHB70j6j/L/TcF9QoaLWy rCUxg9hGvGuVsu9ripwbyUfkrH1S9vGDoI+0wTw+1HfaR4fMfinPe2uUzwf1 CFqrLP7+r8g4CfwBfgFrgD3edc2Y39tipDImAmuQ+7coD+YBHzW2711xERgE DPNdkfEA+IL82LLI2AR8Ac4o4yTaZZxEe5t18BK4rJ466qgDXLJVu2AzsFJr /Ue2tfY+EBOVMUs71xI81U6fK+0yDqz1Q5HxyVpx1o/6Qhwlnv5HLFMSv4E7 wB9gFTBLe/2DB14Bj5DrD3Nu6ACXgJU66CuYqLP+4XcH9W4TM6WU8dWOImOe MWIKcFPT4O8d9FpRgXuwB84BxxytH2AMsE6RMqboqI1uRcYcTfS1vb4f5Riw D3m8s7531cbZ4Agx1bEp46RP9b27esFH4KFjfcYHaGN5yC4TR7WJ/rauHX6D R3rrK9gDXALeAU/0KSpwErkfDH289o6Ux5j+4iMwCfior3NANziC89VFLNSv qMBb6MVXMAa4hBxzsu3ejqNNniPPTNQ/sMpA7YMrTlXXINtlDATOwN6ZtvvI G1xUYCnGgNPAcGAVaKhjsA+mOFufyLHDnPOp+lHGVUP1Cbxxrn6f7Zgyxhru uBG28XXkLm1y+uX6Bb4Ypa+jbeP7BbaZz4W2R7hGVxQV+OlC/QIfXFxU4KQx RQWuukhfwRuX6esYx5TxE33gTHw6QX/Hao8xxP4b1Ad2uFZfryoy9sDXq23j 6zW28W+c7VHKjtWna+0bZN9I/QKPlHHQddorY6YbiwrMNMG1mGj7pSLHYWI1 eWOVbXwCg0xWH/jiNn0iL08pKrARmAMcdbP+j1d2qvMnF4JFwDlgoLv0aZp9 Zbx1iz6BQcAqYKjp+nq4GGmG64Ff4CWw0t22wSTghnvUBe6YpW3ww/3ae8B2 GT/N0f69jpmg/WnSXMeAg8BA84qMlzYUOS+PTBm3gYfAUHMdDyaar3/nR98o MRV46Ysi45Afov5Z0OXiI7AEOONNMQy4A7/AFI8XFZhpgfMBhzzpfJ62/ajP 9cWiAjPRB5ZomDIWAu9sF5eAL55xnvgLHgFLrBQX1BdLPa/PY137Sfq7SHtg mVcdC+5qkjLGwFfwzmJ9BZO8rK9LbOPfUttlLIVesNtS5zDbPmziN7bAB/8V x4GzwFRNU85BG8RKZTzFHn9dXxa4jtgBm7DvyS/kjl7qBX+s0SewEXgK7NQy ZN7Wb3hgsNEpY3OwEjnwXf3bT6yDfvJj22i/V2T8tdo54xOY6QN9/Mg253Ct 7etj3HXihyFRDk753QG5kNwKHjvaOvllePT3NA9Oj/LOlN8PnBXlsKBKKb9H +EQdF4jLwHQtwYbKky/IW+QKcsTn8gaBE/Shp3zscw7XuT96OZb+u+RzFogT 64uKuxB17g5nhr5fpYwHX41yTspn7CSeScp3kMuivDToiJTHblL3ASljQXBg KmX+fGmz+/aPxGrP3kz56MDm/ilj0L9HWUcZMB68us7hE+e0OvrHaw88Bkbk XdafU8ab4BeeFVgVrEf5dZFx689TxotgxTVRn2D7NynLIPt7sFaRddWKudzt OvwiZVu17EOmhva368NupewbePf9KCdbByfxPmYn7ghei5TvEB8FTU0Zaw4W x7GXbksZb4LBLol6p5Qx38SU50nfFGK+Y+gHz4Hltu2yv16J8mX7apSyP+gZ qgx48vaU7ZXcp5RgsN1LeX3wra/yXaI+LeUzUNk9CL7q4Z4Hx/FOaUbK+76q +72K/hyiPHt5B/Nw/vDJ5eRx9n519XCGqhkTlqQ8H+yeXmT5wUXGRcif6DlB Hh65krx4dZSHpVyfYp1ccbP7l7zCHiaekvPIdzxz6jM8S+Q++jkHtZQ/2XNQ X15t+SPdw+zx11I+S+Qdzh8y6Lsn5XMFv7fy9xT5bOEPOY5nS7zhnvKgdoi7 q6J8OOWc8EbQ6ynniV+mfM8n/wywTf56xJIYXLeUzzV5aHbQLMegY678Oq4P /pyuHc7v/SnPGVtvpewHOfKBlO1Rb1DKesg9nwc9Yf2hlOdAjnjSkhj/qP6R I4jnnAly09/kvS6vhfz1US5MOcd0S7mP+N+klG2RG9qknAfIHRtTHkMe+mfK eYL+ZqWsp61jWqecU06Jsp38fVOOx+SFa1KOEdyBiUnEK+6jbZUnp/wr5TjO OHIauYe8c2qU7VNuD9RWS9vw14bMcynPGXvvpBzjsHVhyt8niK8Xpfy9gRj2 Xsrxizv2uJRjFvWnXF/mf3HK3yqIWx+mHI+4A/875ZjCvZH8wP2Hc7PDONLR MwSfc3dryrEGefjcSThfN6Ucj7gbf5JyTOE+zPnmPHOWedeOzk6eV/ic/b+k HHeQ5+5IHCGGcBbuTfmdWHVtEQfgzZbP3uQMc5Z5d8QZnOcZBadyTm9MOWcz 35ryOcvgPM7FI8YG9BAHPo1yUco5ak9lOEej1P9Q1OenvI/BOh+nHLuZ+7qU 9zr8c50LufjxlPc3e4+4cZI+/CnlfUa+vyrl/cF7mhdS3gc9XOeezv0Znyv4 5lj5vZxvL3V2dh3BA1emnGO6KcuYT41zvE8kRlWR38uYBp/8ztnnGXxhrmS/ kR/Zi+x/8uPVKefs+O3ECtS/9IywV6sUeb9SJ0cfp5/Y/a16qvhMsUWcGaet 6kXuR458fHzKexv+gdbJvZT0fWteOMb9c23Ke752kfc9dfIzuKuv60D8Io4R T7lr93Ov8swHuDfImfC7FzmuDXBfzFAPeZB93l+75/t8N6qvvzqP0Bb7hzvR ie5b4i71WVEfm3Jc4Pku8Nm9VWSMd5p76WtlWrpX2DPEj63uJeIQeXnneQv5 Z5V/p8iYFD3gim7qJ26+pJ6P7R/k/nlRne8XeR+QAx42NqCfB99ZeXzjXN7r c1yc8vvf09U1WLtgvTPUw3450/0D3oNPrgRT8C6psuUQdfDdkNgCVqlknfXn OZwlj2fBuyFiyzGOZyx94I9D3PPD3APg5XP0n/Jc6+x/8jcxBlw8Qt86K4Md vv0NV09P68foz3nyh+kb9eHywUI869E+lxHaQj/2aBOLwAyj3DOXWd9oLDrf +knWwQ9t1EnM5wxxlg50HOPZg+QkchP5hXNJXuEMIk9e4XxxVsgZnB2+TRAL ef58uyRfkB/IHWPcY8STS/WnkzKd3PPw5/n8kQejXqo/Gz2/47S7WFuPmCuv ck+Odr04F5xNYjdYhZhxhb59ap28wL4m9nF2FimPzoHqecfYyzqwtylpE29P sf6++5MYt79rRVwrx79rXDfmNNj5sm7Ene3u4WnyeWfOPWTPIpfXW//edkPz 1A3yKcdbP0h5ZMcrwz2CWAwmb+zaDtEW79u5F+xV5LsBde5B/Edggnx4E62T uydZJ69P8Rnxnhzc2VY7yPygHsZ0UMdNjsUn7hRt9J/54DvfuierpzwGv27W FvyfbINvb3VMW/Xd4n6jpK+j63Gj6zNFPvL4xx2Cd/XcY8AV+xX5LsMdhFgB 3rhD/nL53K8PVp47D+eX+F7VNrq4fzGO8cjyzv9Ode5QJ3GJ/wDA5950u/LY 6uN+IKZt8VnyvWS6trp4lrkPzDA/8B6NHMEdhO+A3D0p71YGm1PVX1P+dMeS V+4xntxlfab6iRUNlJlVZN5MdfIObLb9a537fuap2erhfSLvv3gfhk/cI3j/ xrsscNg8eXzP4h5B3uPOQBy7zzq5l9xAjmgs7z5lHpDPmaWkTe7lOyF3ioXB B3TzvxnyM3cI7hTciSgfUmalfOpHyt9bHejiPgI241veC0W+Z3AH4X5EPziv PG6+enbegVJ+B/eYdcYO0E98flM98Odri7HgP3Bg2c6jyjysD00t8aks+7gy DfWbd4bEN/BBC+fAfYf3e+B98OGyIsd37hHcm8CNT8uHB7ZcUeR4ijz5oof8 fWyji3sZ4xiPLN8MFzr2CXWCQzZoC/5Tyi8z3oI/uOcQm4nRxPcX1IU87cXu heft66HcIteTmAwWaafNJ9T/nPIr3CeLlV+oLrDQD+ohL5DTwRkzzS/gHu5d hfuoe5HfYT6p/jOUJ780de68z+S/Q684jnjLHYw8yxlfKp9vWby/AA+8Ip+z X9U++OCTJfKrK8+3pn8oQ1ziPwC8N9jgnkcXOBMe+IDzMso653qO8g953lc4 lu/L3O0buvfYo+BYzhX398buL2TYq7xPWGn9Qev17X9DPj4u18+V8htpf4X+ vKWt8j5fZX2VfS94Xt7SF3I99/N3jI3LXTNyNPdq8jI5mHsxcZSSezK5gLst eYtcwPPgXrzV3AKfHPq28ujgHvyh8uRh+rjXvOdzJa9tUu478+Aa+ZPltzWf Is99ZI37YS+f+xKf1wfaIieCGcBP5DLiN/dHYizxlvskeZK4S/tHc8Vq5/ix fOS5a5OHyB2b1UMOvET9ncx9yJTs/9ix8Bh/sOvxtvqHyu9irJ7jXuIMcX45 R41K+VlyJjiL3HmXGX84P8TYddaXeaZoE0u3KF9+L7ROGf5TsV6dxBJiCnGS 96iV/d8jPN7jEBvBGJt8LuvlEwfel3+Q893sehJXv1I/e5jzwF4FV4Brd7hu X/hcyK3cN8jpQ62zVgv1c4Xrgx7O1CRtsf6fO0/mO896E8d9pf/EMe5yxM+B 1rs7jw3qJ4ZxryOOnWKd2Mi7Uv4DsK/PhRgHxuWOs02fpyqHzLfyD7H+ozLf qAc+uZPvUHwzAreTxznvpVJ+j0/fZ9rqah/5nnHIUCfvz1auq3Z2aAsdyCHD nZjczbngvWuSvzOmlnIsxm/84/8PLyvfT5sl/blD/cx1uzb4zsBe4f8f/Ifj J3X2kFd5l/+jfuPcW9sH/3L9B/+Md/+hj+9NTfzmxH9F+F/IvsYE3o/v/F+w fOroquZ/UJhDFeXp393/lHRQpqPxpIY+4ONu/lcGPMe3TL5jzrUO1uK/HzX8 /we8mvLBgLX8/xjftOr5/yLOcV1lkK21y3fT2n4rfcb6s5Z1rONjdf2sK59x tbSLrWe1hQ766/qNE159fWhgHVlyTQPrNdTP3Olv4DdLMBbfMp8zdxB34PFd j294vGtFb2O/TTaTT47m+2OjUkXebiYfXkP1MI7nyvve19TLt8LV9sF/Vz62 miiPzZ3vs6039vny3yHsN/P7IrGX+wD5kbzO/174/wj5nW978PifC/+J4b7w qvPFl5bykeH/MfyXqL3y/D+muf2tHAsPGf5TBL+ldpsrf5i6G6q/tfxDlW+r zv8DPmB7Xg== "]], Annotation[#, "Charting`Private`Tag$14339#1"]& ]], Lighting->"Neutral"]}, {}, {}, {}, {}}, {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0E1KAmEAx+Gx7EPt6wRGBUWFdoGEoGUF0q7ahZtc1KKCXAQGQp2gTqAX 0BatFOoEpVn2YR1BCKJdz+Dimf9vXubdzMz+0fZhJAiCHS5E2DmPnp1imjQZ NtkjT4Erbqhwy0P4vbtVnvS5XaOpWzzTZtbZHS+6aed41R3emPde5z28Zxf4 0J90+WLRWYNvXbTrPOp7apS55pIzDthlg1VSJPmj5O6kPbUrTOhxxkjwS9Z5 3J7YFDE9ygg/bDkbtsd2mSEdZZABliL9//sP0k4qOQ== "]]}}, VertexNormals->CompressedData[" 1:eJx1eHk0lt33vigNNJFQIUOkUQOiOI2KzIpIA0qRSkQZkkyRzGPGZCjzlDEc YxFlHjJlep7H/CjJUPjd+673Xd/3s9bPH561ztrrOte59t7Xvc/h17+rfp2R gYFBiPjHRPzaaSiljqdS8bCumK4BQwgq4s0tdvKgog6Po4rqlVRME46uoDGF ozPaCvM/zKmIge9VEesIFT9NpZoGKkWgPafbX7OrUlHe3g/jnJw0rP+iIVi1 IhRp2nhuVhOkIov3++yMTtCwvTE9Cq/zQzJY/zjrNAUdzmd1GQzKRjOUjzXb Dr/BBlzR7vUtdLS5g/sUu2oe2tHmweypGoxtNEvrXZvpqDpNpqiEKR8x/Pmz P5vbkxpErK+1+BNPDTy4kohHQi0lZHyjgU064JvPs9US+GjPBmESf1NRhBXw WV3szVq8zg+/6hA8DXzc8paR/CufaNoS/DHer7cF+J9TOlYA5/UTjnYJUIrA J0RCE+C8aY+yVEEfr8b0OipTOH5awz4L+uxN2UHq+bUzWPEaQwj+nRxA6smY 8k5IPoyKRyqoUctkI5Hokc3NnpFU1MPrnDubRcVMdgcKGuJfoU05DTXmjlTU sJIrVKmXinO33zTtPR2L0hLia9jOU1GEyflv24VouFG6Wp2hKBbdtOz/orqW inSLhtl5HtKw7vtzt1rzXqIS56i7F/MpqHJlSbz5x0L0IdNx1cNvabjnOsv0 sWw6Kt/FzcusUIxe+Hjb3qgKw3aHVZ7w59NRysiJ40eFi//V2UOzJsStiI52 LXKQ8br1SsFEPGpYJU/GPxx++gzw16VyMBH4SDvEm8RfOvB1HfCZ3JmfR/DB GvdSzIBPcdGLH8C/RuHr4GJhLD7wrLsF+Nf/97z4n/Mqsh0KA30UNd/9JPTB 34v3DIE+o5Hr+UDPVuO38YSeuOV9STvo+ax1KvSDLRVrjniNWYxFoah1gmm7 Cqlo2ddeu0BvKu6WLI/kYnuN9JSNz3XFUNH2j4rRfu+IvEQsmxc7koykZKYV nppRkZ1TXKcoOw2bNXRPWVimo8mRpv6966iIpSlb/00mDR8qWjxeUpCGHJZG Lnt3nYLGjX6FxF4cxEGTgc1+Ez6IwqNJay4aQCdOqDyKMqhArq9lvr7Kfo73 Cb2qW3Sno4DQR7ccOUv/1XnlwNntpcl0pHiC/wnE6+28KRmd/RxlpJiT8c96 n0QCPr2Kx5fAx7JPNvQB/lClyTXgU/OUfR3BB3tJaS8FPjYvr7cD/7sWzmME fyydoUAF/jLB+8jzWthXCe87kowz9TvJ8y79q8/XP/pg/b/6BO9iDwQ9F543 ylmORWHDtJQs0HPpXf+gCVUq3kLtNdq2OhqpCb3WUaRR0WXhYeGVGlQckVA5 8+R0AjLWOPCIq5uKlnyWU+m9TsX2y24q3rDOQJJM00W1BVRkyqxW7x5DxTfd d2psu52PWi81Xgu8TEU3Dn/oTjeh4ZDG1RGxHqXozP3BTmUlCkpvMr3kuWkY O05TN/rUv0U24ke2qmv0oQKhy81vbCpRvJ5T3nxgAZLyijvmepCOuB9NRegK Z/+rM++2XYane+nowCKahnhbbcMMIh4PKnMehXirGzlagM/se/SLd/1bfLHK RhTwG5vEO4GP+pPzcQQf/Gr29Ffgw/fUpxb4c1v81iP4Y2c1dUPgf0DNUhXO O8GTd504L75XYFUI5807u2Y76LM/yGGa0AdfDOC0BX2C19wk9Uxhj2gi9MTU YCtST8Fl6uI2PFTs7Xyzau18FFrD8EWjnZuGvsRfcm9hpGKZkNOc2vwJqO1Y iMPjnTRkX3K86nEvBVdLse1+np+JjG/VbThwiIbuCM95bE2n4DXzcvfEn2Hk rrPcy2QfDd3nCG323knBK4b0w2/tr0Fho784lk5Q0ZXjSzWGRb5ipm2XPo+H f0WGpWl65qtpaODZT640CYwDh6KiDz9qQGU8Cg9b9MdRfHLi+m61IvyPzoxe 6sZa7+locMaTHeIf7D73iojHkpx+ZPx3aWNjwJ9fqlFD4OMoio0O4Ed6L20H PqLMjq4EH0xjcWIHPnXfptyBP81QyZngj4MOPfIG/nZ/z1vz57z41t/zZldJ eII+jufXylzgT8CqmR32oE/HnMsB0NPrudZhQk8cyb54HvTkdPy513qUgo20 V1ycVgxDmsmcu5efpaEkFjEGoUwKpgt27S0WjkXGPpyjkjY0dGG2/o6wNgX7 Jix+DNBLQ6v9wzl/YxqqLZrlKcsZwKUexrvOSeWjUvMv2+J3DKIzC2EPODT6 8Q5uty38GyrQptS0PWk/BhHeYevNs6QHu55bqxjtXoOwX0qDx/thJLTlra9S YivmcXYZ8OIuR2tmzVRTlcbQMl5L62Xvmv7V2X+WFqkpN45OV88EQLzL0qc9 RDyuoUypQLwh/zp/wFe8sEeVwMczVSfrAJ/Lw9wC+BwN+yBO8MFHN67YC3z2 8T/dDPwN87dcJvjjYfomEeA/ph1zD85roGM0Q5wXv5oK3ADnddXXWwr6cFU8 ZsfCsXixVnII9Pl2KXIn6Nl+RqhpRjEMJ/7IFwM93xamVNpWUXBi1uz+bHEv 1MrksKXoDg3xxQrxillTcBpLqa14QBCKC1gn1JlFQ2LTKrdpvwbwBVrkU2/Z V+jBWTu1fv5BpGOY1RK9fQDPWLKYBQknoU0iMh9FPw6iD+fy+d2K+3D2cPF3 ld1vEdVtVNXv8xDKlFIWvBnWg7vE461yZ7PR1IpTgUIHRlCTh/49l9pOnJH5 4qe5USp6OSnqmfNkFFmFy61ZNtn+r86pG75YaTCPoasn1j+A+IQXzFNEPK7k L3gO8Wkiz4UA/zjTcsDH35icAwB/p4SLIPCpW72njeCDlW2+qQAfbp1Rkn/5 871rCf7YK9+e5M/+cfgOnHfyrq8LcV68p4tbFc6re2+rAOizY+uuhQMBQXjL dONW0IfmulADei4v5D2aKe6FeX2LuEDPWSf0qKOAgisLd/eW2GjJ/vmloXtm XSdar1Pw8dK5bOHq00V/fmlIQ3RSirNz4N/z3rqxnvXUyUEUvPOSOsNCP95X Y3TW+veZoj+/g2jCVGPaNLrv3/iaqrPJC4zDaNu1CGpwbQ92Nz9SZy+9U/bP 7wjiY0yQKt/cjXfdvprVeWRX0Z/fUfRlDFdsi+zEf36fF/z5HUV+UUZHIP4f /PmumLcQf7ruCw3wPbKsau2lD8v++R1Bfb8S5v4vn+oSagLw6TUTUgX+DF/E lKx/X5D98zuI3k76HYbzcvInrjp18kzRn99BdPc/+mj9q8+PYUEb0PObNH8/ 6Pnnl4b01JZVg/6BZizn0wj9wx83bAL9j2vYbYV8HXKMmZIg8uXQ4cMP+UI3 ZY0hv1bx6qKQX7Z403OQ32AzO7IeRPVoTVAP0X6zVVAPOUEbtkL9vJBNmYT6 0dy4RR3qJ/dSw1aoN/bQMWuot3m2iiCot+VN7WZQnwaflgxCfU5NtXtAfa5+ 28L2f+s5aKLqIdSzd8JSsp4t86SY7hP1P5+QStYza/I2sl/unYzxh35ZF81I 9kv53/7K+dtftL/9tW3/0ybgz6rDeh/68f0nhhrgPx3mbArn9Zxxcob+HbiT pQzntT6STOqTesLaGvrdILaC1Od/9ET/6HkzxJn050671hNzhJ8o5ETuAj8p GsVLwH+YHVXMwX+kvqqMgP/s3uhD+rNVm9Ic+BXPtfOkP/tEHeIDf5Nv2v8M /C2PcZ8g+Fuaywtz8MObN/qOgx9GsL4n/VDrqIcX+OeBa123wD+/dPHWg3+G m+iT/lx5RpYOfhvfupr05188//XnwL/+TP04EgzxoacRDfxcJJ2d9GdT7zQ/ wL+0k6YL/h9Bi6kF/PLtC5bAh8mt7iB8L2K9+3cDnz3ikST/oAtXdOD7khH/ huTPJUMh/dlh1+Yq+B75bvtK+vPZxgBSnyht9npCHzSpKkDq8//73p0RVCG/ j5dNaR/h+1hTVE5+H+/YeTyH7+lcBtNGYt7AGaw2T/7vvPH+7/f3n3mjeaKK nDfS+1c5wve663OjJ3yvX5dpkd/3Kjlme/i+r97XTX7flarLlWEecJJiocA8 8Pqm9kWYB16+X0nODz2R2bEwP/wwWU/OD6b/M28s/TtvrA6uWQHxSfPPE2E+ +bHrwgOIN7Sx1gV8S2XhTphnKk6UawP+M0GeNuDTq1oVAvPPC+s/fCQLKsh5 47nS+iCYl4aS5Ml549XRbTVw3gCXqh0wX606sZUNzrtDXfMZ6JO0NK6OmDdQ EMeAI+iTcZaT1HPPuQc664j5bcroGannP/Mz95/5Gf8zP/P4zAvBfLibO+Ui zIcniysfw3y4bWQzOT/HBFYbwjxJs6om5+fNLgPk/Mx5ZaUJzJ9hXpUGMH+e N8zsgXl1qOpsGMyrJ4v622Fe7fz13oCcb3vVHGG+DdnVxA3zrS8uHIZ5+CWj 6QOYh9ONn5Pzc13Cz//Mz238f+bnT98uzEB8UVJxNMzbGeKInJ+vZuRdBvzM 9b8iCHwUm+lKzufjb+1IPvuaF+7CPC+x8mkXOT+72nwC/jdyeGRh/p/Q5DIC /rwhv9TgvOwbTijAfeGMq0YBnPfS3bPk/Jx3j90D7hct4prk/HxSyNYP9ORz q2qF+0gKv/xl0POf+8vv/7m/bNedJu87/lcCLOC+09j9mLzvqBtuJO9Hk3oe qnA/EnUtIe9HwYy6XXCfuqRquwj3KY+EmT64T3VHyZL3wXSq4Qm4f+VTBJjh /lUtNOgH97X0qMF8uK8d806gw31tsfX7bbjfBX/cHQn3u8xOmXq438Wn/vc+ qNb/5z54xbXtLsS/u+EnGEPcH0sxPxnPwaQWCPiNIr0C/sR907AGjwI+vwD7 DeBjyqDdWUzcT0WTWBiBz9ao5yR/8djCHrjP3hYRIe+zD3Q2x8F5AyI44+D+ 21LifQbOW7zP3hb0Of3t8k+4L0uG39MEfaISmf1Bz/Zjm8MJPVHPpXs5oCfn 6mIBuI9nWQnuYybu43N8lBa4j7dHaZPvG5bdfNsaift7Q8hr8n1jh/XLF3Df 56WmfIH7fhPv+09w3//KxDAJ7wNLGt+yMhTF4pcrjdrgfUB8roJ8T1CqPzoP 7wlJ5oHke0L7sFQgvD+8+Bm8HN4fuhgvku8Plxu4yPeKpODYx/BecctdmXyv WDn+3/cNm7/vGyqLOzZDfPU9ijO8h6wTu07G5w1r+AI+7uZkhveTZT0mJP6k aMZa4HOkIvBYW95LlFLmbg58VpmtIPlLG/j/WiyMRVNs90j+JS5KYXDeue42 H3jPqcxVrIbz/sq/mwf66IxLChH6oP56r2pSH5PyraBn0O6rxYSeqJoptQ30 7OBWTIb3pfZ9ZcrwvlRna1kK70vu9sHke1Skzy4nGlM4zpWenoH3qHgJSfL9 KnXpxlJ4v/p0zod8v/oepDsB712zarUX4b3rWMUcN7x3PTgkaQrvY+YNJcFF 6/ywwCVjNXgf+90gZgfvaZ9GNfLhPc3h/gfyPU342Cby/e0WN40J3t9qW/68 1+W0yf7nvc757Z/3OolHqpIQP8D5bsFDNRhfTKH/ifeufQH4WQdSy+E9sGfX PRJ/dWuqPfApZ93dDu+HT8oyEPBRYBMm3+sEzLqTVSpC0aK4PfleZ/3yez6c 9/rvL2XEedEEX3cinHdsbZUa6GPBLl9LZQpHN6J/T4M+j0RnM0BPpsm1dfD+ mXOGUgB6elzY2Nc+1Yiicq/80rnWjdxM/cTszg8j9euDx0NTfRFHoHbaCuMC lB/PUshYQ0eHAjc8hPWfS1KTiHVc+WMduX7ZfWRZB4HjeubqDIGDpcLidgBO VklizP0JKlYQyHAwi6zHATcd7116PIDOmkioc0rXEvd6qyD/+ALUeUba4mLj OLpy0P8CrLcUngsg1vExto77sC7ZRtWA9VZz9BLW15xeINc7Do6fg3XaXjUS J6t+DYlzsI4xFPZty2kwhn0FnO8/gX0pe61/w3ll0MgH4MnWdksaeHI923QF zmXOOxEJ55Lde5w8l2/lZBCsh92TeQU6hIXsI9c9TVavgvO6p8SXg24/6qoO Ac7v3OXDRRlUzNh7rjCnLwItWVh7Y5sbFT3/ruN35zUVP8qdLqiMCEPjb6S/ nQigIhHnL85h5jRcmuloZSvmjZ52rC8ULKcgYfPFN65R79D6smo52y2x2DVM Jlmgio7OCXR6TxzPRVNNLVPz519hJ/kjT74QddUg99QD4j9x2ssS8Yg5+hUZ f5Ld1BvwGURDtQl83H4hNR3w05ndhj5r0HBH5rXSK5ddccqh1LEOKgUl+3wb Av7zF+Jkc/sisNLirCHwnwg4HAD8I14F5BP8sfhJbTrwz30tktBWT8OrRirX lgm+RNvjwr/IX6AgE65WIepAKYo75O7SWRuPVTMdwvND6Ug0vY1cVxY74Eis I+4rzuS6Fs+TFMARoD0eLRV8iTdWdDUBzlWHOZlH+oO4VPC+Y/KGLJRzXdEy wWMApRa32Qk1f0Yc3Lpd8/Ph2C05TWsHCx3pcLeQebeSX3mbyDvyl19jD3ln GJoOhfg2qsq1hflwZK5Uch7ipTVqJAG/IUbhMoGPNeek7AD/QcPM5R+OLWjS Uj9tnC0Nr5BkjGfpH0MNEhUTu7kHcU5ha7qtYSd62+QelbDxKxr13SL/QrsV X/s5uKHBsQlx+HQyscyOIG9jNfmIomz0ge0UL/NULeZ2vc3D2zGONmxt7Qec mm6OcgIHb66fyQUcLXPk7BbehVu5jnFc0yhBvSdtRZesHEURk1FqgF+uwc5F 4OP6cvslgB+9XEfL2q0P89ytrKs/Uo93WNuPWkYMIikVt2eAI5R1bDPgrLja IQI4Lj0mCoCT4ZrMDzy1NyESp4H30HnAWdqo1QQ4lvM2Y4DDWLZeDuIlShq3 wr6qhSqMEC85kLZo8r0efzIqXMnH+gnLhBoNX28bQ5ssrGOSmD7iM7rhZm0G X9FjeuQcP+8IEjq1bBrO6yI8YQ/nfZ7dmg/n7XimzwL68Mo7LAN9dt8v4gN9 nPmlnCBfJ/hfn4d8ie2VJfO7vvBuIOR3eK7TDPJbl9HmBPktOSBP1smgnoMM 1IlRtsxDyOPJ0BhyXSK57w7k1yKD+QGsy7y/rhqzMIjfTQlcNPR7ia1nL14y /tGPXHO6bWHflhFNF2JfnCj3mtw3zqxFBeLVzog8I+IRs9kgGf+46q4L1O2O F4VeULfVzu1LFIi61cjJ2Q51rsNa+Bjq/P4uA7LOLTsc98D6tz4vWMefuneS 648WVMn6D3yemErgoM0PjjVD/Sv28JB+wmzEdITwE5zzexvpJ0nWd0k/ETPV PQz9GLhVhfSTkrPMQdDvdqLhIdDvZQ+eJUC/X3Reagn+8FxxXAT8IfkqUwr4 g0FIPekDShNNElcJH6hs0CZ9YHlMdhj4zOtEh0HCZ9CjJj7SZ5TD90QBjmnl B3HwJcrGa6TPNNODfGDfeeMLXuBjcgGGabDvd5eEl4BjILa3H/zqwJeNJM6V Ir1h2Nd4x+ARvcuuyJ49ZRT2DS7qo8J5O8wtHQn/QdH9P43gvITlDo7lU/ER 91DO5JehSHol96XJJ1RUSNWYgHU5n6KAJGKd1YrrPKzrFJiR50pWLjmpT+Cv OhtCnstEblj0dlYespixeGfmn4S9DJQrMcGf2bw4GHiO5AhMwnltqraRPDnY A2Qgvuj7EYhH+6bXkPEft+qOwL6PBX5eIfbFcRq7dWBfvYEOJ9X3JSjBtb47 5dRbPKAVy/s6kI6ir8fcgvVrH97SiHX00fMeH6z3qLoqQF2xvkgqhrqyULl6 DerqSiqDLqvJII5/FB7d8K4MRW1r7gnaMIAERLnUIb5UQTse6vb04JwOxN9Q /+EHfVflsE8f+i6F+zKDANF3/vrX/O3NO/B9sZUtJl0f0RW6rPdrnlFU4veI 8TbRvwaKHxihf1tOGpP9m37HWPnbrq941eamCM59zViKmcZ/sHMIpdtOxwDO gHvyV8Dpaox0B5zoabuzEJ8s8j0F4mUZbPggfitrryr45/V9jbLgn2sZIpLA P6Vy27+BDxThejfwT3MTXAo+cNczSBPOe6v+vDucd96FNgjnjZyVsAHdTJ2u toFug29ZSd085ONvw7qTRgqsY5FJZ3LdeujoGORl5ZTReqJOsMLZ1RcgLxM9 7MKQx4uTV19AHtnNrMg82i6mL5gQ65zi/QlQD7s2D5Hru+Oukd87LrYrOR+I 77XTAQfye3f8sUMy6Pyj/ZYuoTNe+uAJqXP8/cPWsP4hrPY+rL+Md/4Nvict H0zT+FaJJQzZzwQS92SGr77fV+2iIKGsx0wpaVZItmSP/7H17VjDXY/FWWoM peQ2BcB6qSyHH6wvKEeQ61ryIornCByW6e/agDM1F9oKOGmHMpeeSSfmiia9 ONczYagppf+hlTsVtV64LHLfiIb3d+2VL/3tgMrml7xhraMgv9VxQcWr85DD d1vjsXWvscbxrJNqdXSUMjbo8vVJDtLwp5WNXojFaSvP3jhCzKUnum69hvj0 Zh59Ih51xLiR8VFaRTsA38xXk17y2wF/c7sRA/grEw1kNLVp+KGET9ETe3t8 rOWKu0kvBanqbVg8TfCUUJS0fHomDGddGLEDnn7KaRpGM4OYb8lP7Uj5GiTa 8uOWa24f+rXkiCJvZx/SjaHJOf+0Rps/N/VUfxlCDqUL5+A7VVCxpJX4TiHZ 2r3kd8ppfOlpqENH12sviTpEbfG1glCH5kl55Hft8+KhLxB/uhKR30eTrePV kJdVbpL6hJ44IpihDfS0POZ/xvtzI9qYqXd17UQGEvE4OnBQcxwZ5HlGLjAN YW65iLPfKdmog63gZznuR8oTb5eB/uvKOw0J/fH6Az8ewLkqi9x3gz6sg2Ja mNAnL9EtCvThiVNPBT1V5Ni0QP91ZQ9JPbVSmpcDDrfi2C5CH+Sovd8ScCQS ZHjh+3jZX4eP+D6iUv92cn5gXMnyMImok5KOX8FEnSB7yrlVUCdvStXVoe/i Zgz0iL5DKxjXkH0XYHD7LKxrzCy+hPVNr+vJ9VdKU3Kg86BAUDWhM17HljQA OmexrDoN+wYJvF0O+/buG+aFfRUiF6p/J1Kxvq9Ed4RSKNL3PefP7UNFRaUZ pG7BPMlnQbfVcndJ3SoaRelyMnVIOILNY+vuGjwhlr5pTnAccTdPv8u+1I40 +Uc11w9+xKyXjzzce2UUHS05J8IhQdz/JHL3CC3tQ7GjWRNTWZ1I4YTCMvCr 8T31v3hZP6Hb43/8qksvP7DQpRY/PXXyAIddM+orDNP6yDmG1PU4daFfdnl7 nYT8fstvHYP8fna/ZQb4rBznfgou7cMLagMBgH/2L/7gX/w7f/HjKra8AXz7 z9NSgN9ru/884B91TCLr8/jWhABvoj7vPNcg63N5+G8bwMfVun6A79+UbvqT wD/umBAKeRcprpSDPgp5VErmXacfHYI6eZq706CQ6NOdzSKBUCe3rJ/thD46 fpnNzsneHmk+UYiAPnJYu94G+nT0d8x7ok/R8G4Tsk/jNwbsFybu1z2bk9a0 NodgSqLQ42WuVESJ1E2Gur2rs+fLN6JunV3UaVC3OnPLj0O+tH/J7CTyhVna WyiQL81iPAP5YmasOQn5uvA2kgfyxcFpGgL5OsS4kxnypU6vdYJ8zc3t1AQd 6l24PLyI+qn8ZvQFdPATXKkJfR1V57MJ+tqToe4O9LWC20gt6OPx4p46oQ9S Mh5aC/rs1taWAv4CqV7MwH+L3PmHwJ86onw2e00uSltT67hcKQHFNg/t6iN0 i89XV4H1V/Mh14l1/O7NT3Jdv2jjZ6jPsqCy6+FEfY7WJ/pCfeosUT0E+Eaz nx4T+Mg36IgV4Ld6HtQAHJoOsgOcKfcWEofRfD+Jf88w6wXsu36mmlz/n/rH /9R/8QOf015hNJxhdJXtlmogEmacbdIIpKAdA+cMncYxqmkRMLjf/hr7xeRW r8mhI5bPgjNClGK0paVzKHZ5Kj64tvuoQDwdPZMQ/3j8PQ0bLVXy1dL3RXPb JzcoGVGQupbVQ8n9xeit0XlKr30G9j98W97zDR29iziMAD9hUNyWwEcn0Ika wDeIV9AEPthozSlj1UD81Ji9AvjkC3nWAH7QuwyDC/q++MzUDjbAX5uVNgB8 lu7MGCP4oCuX7I8BH3vndFPY94xzbz+xL5pRTSP3jfqs2LV34yC+zZ5eFUt/ gxJf3jGzYKSgoMN2S1TPfkCjqVT7k9Nv8FVVSp/CbToKPPQ0sLjlI3p8r3xo 5mwmbrrLHrtmPx0Vilcdbn84iLNsRGY36b5G31ZyNKz2GUAr+IJFX78axKoH sH7h5yCkE4mP1d8cQF8a2/kAP+lU6TMCHyXctOgF/OeYqxf4aFfZq8TR32AZ J4vbwOdxQfYhwOdrfNZD4GP+urZmwD8f0uQLfHIaN1AJPuishQrJZ3kWrxDs u6ejwrzocxD2CWQ5A/uWOzxkNM0bxjlyp8YLAyvQkEVaRV9xD5LzWKIKc8uW 3SZ5xNyCaw05xmFu8TEIUYP6tywtNiXqH4f9DDCB+k9eEvD7LoFjoOvMVRRY gYtZU6oBx8nTSgm+X5E6W9Lh+5VZacoL3y8GG2nuPK4BLP9g0uhdUBO+c4s2 7ZlERQvuOtTogAHM9WoxV/ZyO7ZU5vMPjxtA4fv8UxjEerGA7c6fss/7sO/V BLXjYf3oriYrJ+Cob/QHHHSvYmQWcFaydQ0DTurEQgqBg3ip9b6Ak/ZbIh9w fvqpfCNwEOZbpwg4FQ9jtOC8C+lJXnDetTK6NDhvjtC2RPAZWcGUXcT3EQtz RAyCzzCXBywreDiEJUb2nsyreoM7nO8vNin3oz33W5XAf76WicD3Agu9edEP /uORtIkB4mV4gqzyq94gDmWBZc1EfPnunG7I73SXjivkd7Rv9C7kN7opZB3U w63SkRioBzsbDrLezuhwU94FlyOLSfW52Yh05Nf9g8v7CZ24R2fGsqwbxM/V 3locGAnF22jbd0SxU5DvnG2VreAgjl6Snpsy745fZLD4NzJQ0CYzlY2AL9y0 OgrqubS/iaw3o3SHJpKP1sh7gg+SLTxvA3xmL9clAX7jteRH+0dC0e9sXQHA H/o5UQt8JHyOLZuLSMdpOXncwOfA0eoPsK/j28g3xL5o1mExAPZt40irB58p r0zQAZ9BPOWe4DPCzzTJvn56s38Z4TP4U1BTOfT1wqeVp8EH7NR4SR9I6hUk feBM5ZXh5PcFaL2LzMaznQmI+3aFTX4xHd2nFZ1Z7UPD60sD0t40uOGdD9cJ f4qhoJ+qJr+ygt8hr5vscm5cqeiLaPPe1SV0RIv/dQy+R2YSfK6OxFwnrWPg At+jpO5uZdh3bW21GfibhzYLue+FITVF4BnheopG+A9KiaqvBZ7D+4QR7CvN zJgW1+CGtr+JF4N9k7pfrE4heL54FSxE8MQBAVIkzy1T5SPA5/LcQ2mCDzb8 tlEM+NwI/ewJ38HymX0lMK9WPxX/M68aKB8En2+sD73fRvi8t9a8Lfj8tq1i ZN95zPxshv61P5RYD30n6fUxPVCgHenSRPK0NVPx9rTHQotCY+imZ8I8zFcc Ors9Yb5qnX7HCvOVx2Nzsh93ec3egD5aWywyA32U2DBHgz7K5aG8hT4af1vr B3004KOeBX3UKlI0DH0kzuetCX10fYuJpNZ5Gj74toM9tawZbWkdedvP0I/8 8WMewF/HuN4M+v1hrtx3wN953HQM8Pt1D+RAv9O0XnkAvoOtxh7AeTBdv53A wVZeG/MBZ1puURv8pzqqfCP4D79UvxH4T7rmlqXgYyoscUmEDli89GIl6MD6 RlQCcNRjlq4HHMmJ0zmAU810Qxb8U/NchOdmwj+fnFb+DP7JG8gUAv5ZcJx3 xSzhn4IXg2PAP62H5kn/9E/Q+kT4Nv6cuec0+CezTZMnxAuP2UI8nrm2j/Tb zm3cpD/PZGZ7Efjo+qVPpD8HBboLAs6J2a3Lwf+3OIjIA85tNqEHkHeu8g0F MP9c6rAj8y7plnUU6jNTuWH0MTEvyfcPP4X67Hq4Txrqbe2W6n6izlHdaoo4 1JuMiBY31Fth96UdUG9l21aR9bZvTTZZb1n3xRSh3gqrl5H1pi/5fgnE3z6v dwT6SE5TlYznfMZ/BPDf3DRIjCX6qMyA+SDZRy+6aICz2SLiIPTRgOwOEmd0 e3gc+IN0m1gK4T9ozSSLKPhDUYQoDfxBR0O4h/ArfLmVm/SH17HVNeAP2y7W 1qUR/nD313pv8Aex+CtfIZ7fS3oK/O2hyBEyfqPM52TAzxx0+0r4D95vtYmf 9B+7PSSOoMz53+mEv3HFJpM44sLXSH8WF0ykE/6MIhu/LIA/F3uIhIOfM/Lc VAE/r83NmgU/TxOfJ/3Zt+CoIfj5V/oF0p+bwqSs626P4gT6O8XJJeUolh62 qi6yA7HTluyHulIQiyLr3CL21Tuoq8xLDuScE7ml+RjMIWJ1D8g5Z7PTVnIu Glc9MQFziBmllZyLykbyyTnEqGSgA+YQi7RScg7JNjSYgPiX2apdMEedf7aL nFumDqfXA75ES6QogY8eiDmyAv6jgvI7gHNkjO8rzFGH91WTOJ/ehRYtGaRh t/FdATymgWjCqKgu8jgFteSZDgY8K0WWF/RfKgakoWemjOHiwXRkeP2cYcI7 Yq6YSXuxfyAVmf6q/Nx5cAAJGHgdfjpai258jmZjeZGJPtz8dFVxYByp35U0 gvhYR0UuIh57h7DWQPz90YvlsG+CweEPxL6Y46PUR9j3W4zeMOy7UJAcQeyL Vaonw2BffQX7W902NKx5J393+woXvEeDfWplAQUp7Ob7taE6H314GTK/evAN VrvMUnasiujHR2/73vmVIh56SlsVgW+exWkv95qOKjL13+eeqERDwrI7nd4F 4t3RYwU3jAj/3Ly80WxDLVIY+PTrlkgcliwZLh9npKP5XJcvgMMn9CYWcJ5/ syRxlBXGEwEn71BFuyOB0yR6oghwjAzW1ABO37VRe8DRPJdRATin14aY3BAc wvOXqf7pzxuQa1x5mp1dL6oKmIyvn65EtmHv7jVe8UEt7+Ks7urRkf95jt0+ jz8i1mdcdS6DsSio9ZhqtxwdPW1aSJxO68VdhfImwvktaOMh1evqfIOolkNM /kR0H+5zYk2kx31BvD3hMppRVDQfyl1RvaYAKakGf6g8mIZL7O9y8hYR9wiN 9hYpnXJULFFfWVWfiC/plfG4uBP5vSqtbUz4ScNuacWm3ATUU13uZlBPzJOX HzyyCqJh30YX4WvSr5GhoVDkKV8KStVM+/grkoYn9kvce9P4EoUzln+melIQ 9wouuam+EvTgMzMb/Z4TstTWYZNIpaNLB9Z5b40qRV1+KsaHAkLQk56QI79i ibq1sVDyNS9BdRKHPVeoRSN63reVEcl0dLSd4SWnDA3nNDcmuu/MRQdMSxPv fqSgAKl+1JpDwxo8zEMSo7lIab+fNfcxCsrlLV47OUfDe9b0RPY3ZCDlJY88 E9cQ9dxnJz+jSsWz7lcjToiW4XQLN/m021Q0mm8lV+lExdK07gNHJatwj7V9 CE8bBWmzsijLYQpuftVutXC9DicYlV9csUhBz/NvhwOflpq6FIIPtuG+nwJ8 fK29jgCfm6r8pQQfPLqJ4THw2WK2Y4Ml4yBmltxU1+VXhC8JWGv6fx5AjytK dUHnDfxG6widsdNeORfQ+ZPvc3vQuSnp/itCZ2zUjEJB5zszzcq5n4j7UffT W8FWb3DZyejhqXNEX5fwngKdr96MO0DojLur9Eidf1truoLOEQKKxwmd8apV o6TOa+pvPGv0LkcHjHzHLYuisKHwfmqAN5H3vpFcZlniO2hPO/iEMRI7ORhf uTBLQQ9qnJhSL9Jw8hX+2GJqMDZoeaxU1kFBUpYhX45ZEete/jGC0sG4ty0h ew/Rj4IXVY8WMxciZc4p3hb0DOd+GXWx+0hHm3/vvHkipgDN81nG2O0Kxav7 Pb7FE33aZ+Kp9vVAEereetg6RvoVlkhqzvQkvhcd+68qQr7mBFaGQb4kW6vl IF+DTyZOQb5iYywOQr4s1zGFQr62P3hyBvK1li/aAfIV3hNyBfIVIC81dMqY 8LdrCkWHYyvxjsWKjFOjA8j2VG0k5HFcRaoU8njyux9ZV2qj2byTw1ScWUbP vhKKcaBDc922XxT0tOCokHk9FRvqfTWsTS/DgqsvUXT6Kej/AWccQro= "]], {}}, { GraphicsComplex3DBox[CompressedData[" 1:eJx1mHlYj2kXx9vENEReJlFkGa/GlrHNVDyPrRHDWMcyIYaEGhkSTe8gwgwG IUrRyJZdJQzpl5SUSEWpROtQaNGiZep1/X7P99zXnCv+ua/fx925z/29z32e c5/ui1ZOW6KjpaW1Q1tLS/fD+HSJR1xTU0sVxszQLvP0nWKlb2eNfTfeR4/4 +qtW70/0jpWixhua+/TSJj4zcNZcg8F3pMVrLvlFuNRHge+ub5omj70tTVDb qSQ+9l1n4042t6SF6vklxDNPzutw3T5aslfzLOLPsjMmh9XnSVrqf3dswJfP LDesiyqTXDXzJXDzhgRvj6IaaYXGPnGLAZk3DpQ3St9p/CEecK8ocvM7HdlJ 4z9xG+mLV4cc9eVozX5l8GJpXXBw2ifyZI0+xANMzrlukdrgN/HX/3j+PmpG O/oNXTf0jMlPuxZPOmP0ftb/0Q9t7pHO4Nbt/sk4cyyedAafN9D3RXJNHOkM 7ve50y/zVseQzuDz+0/ytytRkc7gSyd4n8qbkk86g+ve7NN3hWE56Qyeusxz fpD0nnQGfzDSePER2ybSGdzKyC9d10SXdAbv3vPccvetQmfwkEdeRaNKhc7g VzItjh2aKXQG799uYL3jPKEz9Ps94Girey73aT3wAtfA1nvOJpHONL/V9OxD Ex+QzuDZkT9VFu1OIp3B02fH6azomEA6g+c9+63edvJt0hm88UEb88XaBaQz +EG92L2FB4TO4Kri4tzuMUJn4h4nsj0ihM7gLb7sum2lrdAZvNxNu+TOGaEz eKeBayYPbG1AOoNn5N+/e9VZ6Axe1jG2d5ij0Bk6aWeffujeL5l0Bl/YNa23 p/Mj8gP8q4vm3k1+KaQzxh++WzS058JU0hk8Zfzos4nxKaQzeEB4zeCXOgmk M3hC+qRP5xQUks7gMX9UNFz1riCdwdvtdjwQ71lLOoNvqdkUstNcS4bO4LGX LPv39hA6g0/dXnL68iOhM7j14Y7+TyyEzuD2L+5tObxZ6Ax+5nii/qmVQmfo 8WjF1x3ijVJIZ3CdusCd6wzTSGdwr57bffo5PCH/wAPNqy6btn5KOmO0f1+3 fZBZNukMPsLpzDifkBekM3i1y8hvmmqLSWdwJz+9Aylv3pHO4Bd7henecKgj ncHHBEXkt3AROoO3O/X6ov1FoTN4zJbYT+/WCJ3Bk/sOs7w9TugMPs5tgav3 IaEzuFnpSq9gd6Ez9n38uLvBw7OppDN40a0hQYFzn5DO4P4LF/hVJTwlncF7 t6treXleDvkNPjRivsPDVXmkM0bXLa7nD5z9m3QGX61tLPXVKSOdwZvO602y mVtFOtP96O4X32lEPekMnmRyvn59mNAZPGJQ3+B5OUJn8Mkr7J1Hd2pJOoPv K/ret8he6Ex+JmevcAsROlMcnfpmbcP/hM7Y36VPQhc+vpVGOoNfTarONilJ J53BZ1Q8l+16ZJPO4DoF8mfLq16QzuCRjRNyBrcupP2Ab980oK1LbjHpjHFI S/0AS6dy0hncLUrbLWJSNekMXmE94GhsutAZPLzk+J9ZBUJncP+lORtiGoXO 4CsnTbAfPkDoDJ5oqfNqjLPQGdyqxGLY9nChM3jD8txZHb2EztiHW1BR7oVu j0ln8N5mu9/Er8sgncFNbWoN3KuEzuAHz9fc9tybSzqDjzz+ZJdNvtAZ/MKQ TaU1mUIXcAdfk7QeT4XOGB9Yb3A8EiR0Bh++eMdtX8MG0hk80mr6823VQmfw sFLXnCkGeqQz+OHTyUn1Q4XO4Ca73l85tUroDL5qT9Z/f7wmdAbv2/pE/42b hc7w9zKLZ/AIFs/g01k8075ZPIPfYPEM7s3iGXwwi2fwNSyeMfJ4Bg9j8QzO 4xmcxzP4fRbP4NYsnsF5PMOvYJafwQtYfgb3Y/kZvBvLz+DDWH4Gd2b5Gfxn lp8pTi/8Oz9TfcHyM0aen8F5fgafxPIzOM/P4KtYfiY7LD9j/RRWb9A9Y/UG +AZWb4AfYvUG+AxWb4APZfUGeCWrN0gnVm+A83oDnNcbGHm9Ac7rDXBeb4Db snoD3JTVG5SfWP0MPp/Vz+DDWP0MPofVz+BJrH4GP8LqZ/A7rH4Gj2b1M7gR q5/Bef0MHsfqZ4y8fgbn9TN9P1n9DM7rZ9jbxt6D4M/Ze5Dms/cgeDp7D4Kn sPcgeA57D9L35+G/34Pgvuw9CH6LvQfBr7P3ILgeew+CV7D3IEb+HgTn70Fw /h7E33my/gb4ZtbfAP+K9TfAf2D9DfD9rL8B7sj6G+DOrL8Bzvsb4MmsvwGe yfob4F+z/ga4OetvgJ9m/Q2M4ay/AT6A9Teoz9R8v07+SL9OntV8v07+SL9O tmu+XydnNN+vk/Ob79fJH+nXyR/p18n9mu/XyYeb79fJH+nXySXN9+vkwOb7 dTL6dZFqO+VR6WpeEzUxL/1d3cUn0ni1nQLi9tscbKNtnkuYn63h0ihlvs/8 5/a97PRVGBsOZe180+Eu9RnBC78zWeCmc5fsgCee+9Zv3eFIWhfc6JzNmjsr 04nD3oiDIed1v0+X9mvmyZiv62Lm2bnRkPYJftKrWOvebLFf/Skhv7lk6ahO to/Ta7k2huyDe/t+pb8uPp38LPcqcnbJaozaVVEWcGFkIs0Hf7tzfVBMRAbN R9yV72jVZVrrRxRX0PPnNzXxdUdTaT7GWoMLVXekPLIPbldRsCk8+iXNn6b5 f8n1rLt+7cYi4rc1o1TJ7IDbMjuIO5MOnWYO18mR4B/O91CK8Ubv+0/ovoDH n8tabmEuzgV8hhIn4FUafaRCpg/4DkVP6APu2ieopeWH+475rTTnIgew8wL/ n3JeOG/ERT2LQ/ACFofgN1gcgndV4hDzEV/yUl3Pos//4vEpD2LxiRHxid+Y b2k9YLZlpSHFK/zVNltdvnhOLF9XZaOsC93wdxa/zm9b0S9aYvZVgxT7mI84 fzimQB67U0V2EM/uiv7gWL9ppsOluJwC8gf5LCilfejjqwU0H/HWqMwHR5ws UOIfulHf692TwGtmmTQf55um+Mn0kXUVfTAf+x6o6IB54MgDWBdxHWpwstXI 7ALyB/ciROHYL/x8o9zrt2q93kb5qu1XS3YVowo8/DOlYXnnjHx6tVRhzI49 +WrgsDiaDz4+tqxkrtN1KU3t59/ExyS8fnVKJ5k4zlEvt+89qw9cmSdjvuvd Ga+NU9vKsN/VpaNlVkRtVG2/YJ0etY/IDvxsjN1nkdAph/y58MtEXZ9e/0il rX/NMJESaT74McNnn77qk8z3JT9rfl+yrbIv5qe8SvETekL/Pkr+wT6xTt1C y41nBgn7ezT+R81WdIaf4F3i/r0v5LPfl22dmJbwmOssj1N0xnysP/gz6zNv Cq6S/+A1pWUjfnwgdD6j0SeqXtENvIdGf6mG6Q8+f9feG9r+Yl3ci1+Yn+A5 XQKk/CGppD/ievXzOGvVYhH/8Nd1uN1jP1sR/+CPX1olbvq+nczsqFY1b0e1 tnk7qjTFDs4RdZnUJfTp/XwV3SPw8XOKYoL3pdO+QlLXjsyK0FU1xh5t39BC 6AAeO/UL1xHeIi+BG7e3yvBSqeg+ou7b71TY7W1UHK0LfqJko1WeaQataxor r+hlp6X6Kbvw2uj2Yl3w2qScQg/XOFoX3HSzd3/nKPHdwfd9rpKvYB/3bpRy vrAD3nFH5YDKbg+I4z42ub7cn2Yp+tq4dw5hCUf2OYrvFOq+PWy/4H+w/S6+ n5XW1KQtL6rqEVD0idgv+N34sXtdTMT7AnyYv/HOkhbR/D7KuI/wB/XmRHbu VO+zcy/PNDod4dJCbn/RMTxPV/gDPiM3/Fb0s5vie6TwfffNrAsNo/k9lQc2 f09l3FPYQX5otUqj8zQ1T6T8MC65uiJgSSnV+eCX5/j2XGfwUrqh3m8u2anJ 1Ppi+t+FVC9hPMrqJfBkpV7SU3/PKsjOooKS2KyGp9Jp9Xm/iRqi3kdNVBsf 49RjqUI32OluqskD8B/5YSzzH/w88x/xVqb4T98LTZzLVUr8UzwrfJlyXyie Fd5JuRfsOyXXvtB8p2C/VHOOKpwv5oO3UeIB9sEvsnNfpIlP1T0lbmEHfKkS 57ADjnjGfOTtg8p3DfPBlyn3Dhx5W1e5v/DnrCYvybeVfAX74NVKfoMd8Foj TR6DHdRjd4vDtXfeFPtFPVY9163t633xxFEXxbL5qHOWXq8/0LXtDeKIu1Yh EyYuCculeEBeWmahc84sME/qrP79iuJwkc0ff/08Lp3sIK7bTJztnz/lOcUh /Dz+eQ/7yK2viSNPhv7H9vD162+k0eq/T6N1TSu9g09EF9N81I3F6+3GRFwp J456TG9I96mdw8vIDuL51e7I979Uvqb7CD0TNyRtcdgaT/cR3H1z9tTQBXF0 H/F9CTSalHNgRwzZwb5uml+puOqRTHbA//Rf4lhe/YDs4Htx7cuQWV3uJJAd nFcc8wd8DfMHeTi0qGev7WfjyA7Ot9TG63pGpehjgPtvr97/a4dosoP8efrH NjlbP9yj/wNyC+Jo "], {{ {RGBColor[0, 1, 0], Opacity[0.2], EdgeForm[None], StyleBox[GraphicsGroup3DBox[ TagBox[Polygon3DBox[CompressedData[" 1:eJxNmXe811UZx79HhkwFQRFIBREUcHAZggNZV7gMZamAskRkyd5CslEER+Iq t1Ymbk1NcpuJmmVqmZmalZW5cKQWkfa8O+/v694/nnvWc57n85zznHM+v+9t O2XeqLl7FEXxTPypFeVfQ2g3DekQsl9Ii5BmRR6vHbKPOrRbhtQPaRDS3PE6 Ia3saxjyXsie2vpWiv6Qv2uX/nr0hzQKaRyyNsbXpGzvhJAjQ44KOSj6Pojy /ZAD1N0rpLV+mN8mpIn4F4Z+75BGIQeLmzjaOk67j7a7hOwvFuI5VHz0HWZJ rJ2MDZ8d7aNdoV38dHacmDaE7/Uh7aJ+hLgPDDnccdofuTbtQ3Zadg85Vn/Y O9452DjavQHjipTrPUIWRb1/SOOQno6D/ThtMP8YcWO3l+Mdy/V1/fq6HsQ0 KWR4yIiQwc4HV+fw0Sbk06ifEeXpIV2jXqVd9JZF39iQv0R9iPPAcqJ4iWNM yvXKkIH2gX2ousQ9OmSAOiebE+zbSSG9bY8Qdz/x9rG9NOzvFfJZ1D/XzqiQ U7QHll+EPBLyaMhkbY0MGSQW4jlNfPSNNU7W43RjA+84+2ifqQ18jQ8ZJt4p 9hHTROMB7wTHaZ8qLvxNFSt957DW2hsjFnBMEx99Z6tL+yz9MH+642CfrQ18 zhQ3ccxwfJz7Ty6Q03PUBe9cS/JiofHgZ4Ex016uLWwvcpw4FluCcWPIEvZH mSbGJY7TXmYftlaEzHIN1msXe6vENC/kPLHSXqkusa52fH7IGkvwfttx5qwz HuyudXyhupONbYM+wdgkcuqLKC8O2Sw+fF4Ycq7t7+gPe1scx+dFluC9wDhZ s0uMB7z/tI79810j9C7THniv1S72rnRN0b1CrLS3qsuaXeU4Pr8bskm8lzvO nGuMB7vfc5z2l+K7PuTGkEuN7/GQu0PuCXkg5AchPwy5Waz4v0ld2rfpG9u3 OI7/bfZdo40rjOn7jl+h3SuNo2usf6uQpiH36e8W93mSezYpxm6I8i72L+qT Q3ZF/d8h/3L9wH6DMd2vDXzeK+6bje1G2z8KudoYfqwueB8KudXx7cZze8jD xkz7CW1h++DA8t8od4f8J+TOIt9BP9EGcx4TOxgfVYf2k9og7qfFDZZvtPFC yM/sY09+HvKgGM9Lee+I+UXt4ucp7WFrhzjA/qzzaC+OucNCmoVcEHJ+yrFi j5xdE/JL7ZEXnD9ynrPwa3Hj5yXXgvbmsHFhyHNRf9lxYnrFkjjgGrzVvNm/ NR5wFSnXfxPymn1gXxL9o0L2DdkvpG7K9t40ZjD+ocj3Pu1aKa/Z70PecvxX IW9bgvcN15U57xgPeP/oOG24AG8pb+rfisyl4CIlh+A9ni7/gRPBgeA48CW4 C3wA3gAngnvACeo5n3Zt9eEwcKtWRTX/aqleLcdZL/jRAdptof8OjsFTSh5E 2aao5lVwqjVyJmzBxz4sModpou5B4sMefGWWPAsu09A4WimdXBfec97JIfqB y5Q8iBKOMlv+slMf8JIj9dnFNpynu37hVhU14qlQD971cZE5CRjhFT20BV/o 7Z7wtvfUN/hKzkV5jLiOd4y3nbdxrGvZU7tg6qNdfPe13Vq72IMf9RXf8qhP DOmU8nze+ZITUVaKDz4wTD+D1ANvlW24FfxpgHiHFNUcbbB641PmZ38W38na ZT58AJ4AP4IbwVfgSfCffsYw3Dn4gEuMEt8ptvuqP1x82Cv5y6nqVblmY8R4 uus4PPxu8ezjA15R8iDK8c6HM5ylj0nq4XOybd5m3uv54ptSVPOvM9UbrY0p 4jpbu8znzZgrJjhLyYMopxvTNOfAv7jXZolvtu0x6k4rqnlSyZvmqAcv4D3d JKb5+uZd500+Xx/wi5IrUS5yPpxhpT6Wqjfd+UuND92F4luhT+JYrt4UxxeI 6zztLtX/RsfgGGuKas602phWOQcb69TD53rb89RdJT7slbxpg3rg2uxaEM8W 27zL7xb53USXN5+3Hy50UQ2sFzlnveNb9Qc/uVifVzof7HCP8o26VD1wX+YY cV/lHN7H69UBH5yk5EqUV+sb7lBypWvU+8J+8MEP4UzX6RP+wJvLeSZvznC9 ttbAcZN6tG+2DSZ4T8mJKOEc3bj35D9ggjPcKsbbbF+uLpwGvrOtBtZt6sGJ 4El36ht+crfzefMfEse9joHrPttbtU0f7yRv/hPGiY279A8PKbnV/c6/VdsP GtMD6oHpYX2Dcbvt3dZv1y4co+RElI84H77wtP4fV+8ecdF+sshv9UvieKqo 5lNPqne/Np4SHxzjGecTJ/wA/vN1ke8ueNAOcRLTs86ZL1cqeRnc4QVj26He Y9orudiL6nWJeS1TPg9PiBffXxW571p9wIfgP4eEbgqBEzEffvOGPl5TD571 mr5LjgWHOVyuBA+Cj+0R8jvjf9n1Ateb2h0X4y38Xc/YO0U1D6J825jecg78 6x1tfVLkt6hrUc2x0DsxdCq12THKQ32zXjAOuFnr6KuXMq/ifHK+OO/1U+ZS 8KjDUtaDf8Ex4DR8b5kWfceqd0CU/ygyB2P8A3Vo0w//Ok6OBsdpmLIevGid duBDlfIUuMjxKc+B/xyVcpzwj41R7yMX6QcHKLlNlEeG7B31mep86JxPXJ82 2ulWZN5F3PC1CdF/WqpeJ95s3mveO95x3sAWvun9Q/b3LuJe457kPuUu3Tvl OmvIe/qZNsgx7rLr1KHOnTYw5X361PGvzMMhKf+GIce5Z7jHOafbbFPnt9pX 2nxXHea2TRnfLtvoc0e1i759tLuP45x1zsRubU6J+mDbU1Nu85tqk/2cT/jF cHN6aMpYOY8jLMkvzhHnhjM+T/2v7Uv2N/dscdZmpJxP8PheKecT9TqeIXIV f7U9RyNT9sfYK54HzkKHKPdMuV3XOuekvXOxcUTK30zrm/fkP7+Hzk753NYx j8inhjXWi7U6IeW8bOQe8iax/gNSzsXG5g78r8wd6uTMnJTzuLFzyYOLzR3q 5MPRKcfAb6xzUs5jfA1KeV95myrcxztCf27K9xr9C1Jea+7Hk9wb6t1Tvsua m7NN9Ds65XXknuqR8hpRr0o5V9h3+HQL8X9p3pf5Rt6QM2eab5yFXq5t3SL/ Hm8pTvC3ci59B5tjPVO+W5K5jw62uWtauz/1tck90811IHePcY847+TLgSnf NQeaP3W9Z9B537PG+efsN1DnPWNqK7ZPvCO4J6vEeYf73876594F8PeTXdtX o35uyt9GuT+WuJ7k2ynWXy/yvnYwN5s7l+DHO69fNE9V509F3oN25iDrcZhr ha+O7ktn62DmDutkfwvr3P/ckdyj7Y2vs/rs++Fim2A/dxHrfYRrWEcdztpZ 5gV4FpnP//9NaB6+a05WuFYt7ad+iLn4qutZ4T6y512dy33P+dq3yOPd1Omi TlP3qpv19uYu+PkOcJxzwU8uNjC/yLN6xoH+vu5/L2MkR8inD7xDjnb9+V/H sdok/6g3F/MgMXwkbt417vKB5hhzuS8aaYP2h+4Fd8UhRY71BO0zxpvVznum t/18B+irPv+L6GO9kWuF/8ba3On+DnQf6RtQYy71xpb97ef7QKWYl1nvLpb+ 7i+/rU80lyqto9/WdbjO815lfnw75d/S2OHd4BsX9/9u29vN6ypz4yR1flrk cnCNOmMl5+Ot4U0kD4eoQznU+lD1qbPHI81bfPMGPWcecm55h+CTvCPPF/n7 1nDrteznLRuhnee9M0dZ5644ynVoJoZv9IPOHpajzTfOKOezvznGOd/TdRrn 2i5X51PXcGXK3yPIc+6R2uoyh/sHYbzS8z7O/r5F/j7Szzt8ovbpO8N+zj91 eNFIcRLXTnOUu6Krc/jGwv3EPVXOG68d7owJNeKbIH6+T/HdpJfnYqL9vKP8 PuI3x+qUfy/xdsA1prp33Mm8K7u8Axkrc2eKOpPVud4cICe4l6ZaR4c3dJZ5 3tc654V7Ab5RnmnqnDXuB3jA655p7hTeCMZnqDPdegP9TDXnOS8z9bXQOmd6 hnaYS9856nC+F6oDN5htLpE/89wL8muO/bOtc365D7ln7/A8Msa+LXbu196f 6DQ1D5eYk7PE0EjdBfqab51cJufnm88zxYk+9wH3/sdiWySeBepjB5uLtTPM Onh2uWfsf3vxcC7IK97Nz4xlmbk61jp3COeAb5Q9vIuWm0unWSfH+V7JN1bu T+zxRnLWOlrHD98tV5jblCu1Dy5ykbzk2wLfLC4RA+dwjLJSDKtS1rlB3VXm 4Ur1u6uz2v5J6qDfXJzNLNeKeS/Xob85ye8idPnuutE1R2+9sVZY72q5wfpa 55bvyUbtb1SH+jr9Yp+7mN/bD1vyO5x7codt6pvs3+4Z3GR9tXFNcnyTe81v Yn4bw9Wfs449fjtsTtV9m9Wh3GJ+/g/snJOs "]], Annotation[#, "Charting`Private`Tag$14380#1"]& ]], Lighting->"Neutral"]}, {}, {}, {}, {}}, {GrayLevel[0], Line3DBox[CompressedData[" 1:eJwl0DtOAmEYBdAZQXn5oDCUEjsaqAjGRFaAIcFog52JBRba4gpkBbACWIGu QFaAiPgCbUyIm/D8sThzbybfNzP/7F/cnFzHURS1OFBCL7n8yDxFKtQ55pwr bukxYMQDY2K7TZ70qtxlqj8z44Wke6fM9Uu5zqv+xjsffLJgyRcpM2d86zVZ YKI/cs+QPnd06dCmwRFl9vjl0O5OOJfMsa1vsUmOLBnS4b2swq65jfAcmQnf HM5BgrUwG///vz+k5iDy "]]}}, VertexNormals->CompressedData[" 1:eJx1eHk0ld/bPqVJlJIoIpKhNEkl4jZkChnqg0KmJBTSpJTIGEKZE5Ip8zyG nYyZhyQyc55jPo0ahPfZp9X3/f7e9fmdf561nrXXPve+72tfz3Vd/Ob2upbL GBgY/BgZGJaTz9GKOYX2PH40fkf8V1lXOop9UeG99JkGrzPF8mybPKA07WEp p1s24hhq7PKZpcEB7RbX6k+R8NDmdKGKUC46e3vjVzROg2iVsmGKWTJ0+Htr XPPLRXfP55uND9NAJ3n9TpewHBg9H1EmlpKN7rBEHzn2gQYtUhvuFRpREUw+ Gcm3doDl0ZlFPAMUmBeNXuA/RUXq/sM2E50+iCfGvsuPSoEmioHimT1UxOFz j81DJwJ9WqYGq1kJSHj/QiFniUAfP3KuYgmJRlurPfyYpQn49Nz6qPh7Ai1Z /kq5MhSNvF7qOntaEDCt7J7/u5RAd3YFtj7xj0LaY2OPJt0I6OFkuSycTKBr dnf89SUj0EWTX0VvwwjwO8C+1f4JgSw+WJwKrQpBCdnHW2wSCPhsZXA/+zGB LLkCJF8GP0IyRZ8aWtMJMLQPvqYSQKCvyy90GEQ+ROeFUXFODlnn9TfKHyI8 0YXg7GMzdtmIeeL420Syn189drIZZsuiXbdOd2q8z0Nu+0t2nKHSYMSYxU3G 9xH479fp2adZhJJ9Q6Le9NFgVc4861uxZKjoycsSiypBNNedvrdbaLDnWPEY yBeA1OJVY1HpYvQ2wIvWUkEDGU3Ks6IcKmpRzDzr7+wCWkl6J5PdKNDFdEr0 7hMqenlDbCKxPQwpOOzKuh5BAYLZqCZLnYo6FBsEKrgTUO2QRzYv2f9Ro2Cr dWSfPU+eiHJpTUTF1un1k4cIoDR5Z/O8IZDAzohLckvx6DCPkhzNjoDYT6Hj yWQ/JxNLLiRxxKEi871xPMEE6MmYR6uHEKhOdo8Ok+ZTVEQpfX3vBQGs4xPu rQ8I9E2zedmZneGouf2hu0U+AU6zVKl8DwLtnD8kzTbwGC11Ke67UkrAykuo q/Y+gVTuOEj8bA1APiGl7QzlBIjomlaz7HyCdj7dc+T0pxxkY+6ptGeCBguF llZo5jHSfibAy7dQiBZvPTe9108DsLr2PLbHFGV9XYq2UStHQm8SR8QbaPCy Qd9Av+AZOMesrfBb8RpJeko0LqTQ4OYHzeQzIiWwgvtEQ9SZKqSsHF9cdosG g27721iUa4Fpez/TscZiVBxzSXDckAZ9Dmf5B1nH0fo3YnLbHVOQVq/nT+O1 FLDJs+vX0aOiQw5GF1+X5qBv1ZJSsvUUELzUseafIQLF8onX6S/LRp370nhk 1QgwPpMewxVPINTM8/vEVAp668DBqxRIwL6Lx7QtPQlENOe7mZxMQMUc2ufj cwnYnVRnIONEIB3+iJSl4FjUyPm4QLaKAEGVFpnUqwR6+dtAWC4mAmkKbROm viHgw7exzBvk+7O2cQVVp4MRzyXtfaaNBNxgF4ixvE6+b++yfpAQgHpuXH8h 3UBAUsv6R7ILSah/9hxHPeQiftWnR4dGaHDduvGlKU8y4ntM2SxRWowqReys T7bTYMxPfHNtdDwqYbvVJLm1Eh2PmrW/nU2DUKbM50mCvmgDO+vcrFg9ej12 WHjYlgblpuvSwy/kwlzDysdzO9pRyLvBgxUVswB+Ujx773bDw1KLB8yGDYjx 2twm9VUz8LTacc7l5DgSXdVe27GxChFxwuVXFcZgmKO+PIBGIJ7TY8sEXlWg b6OcRgfnKRDVvr2c1Y1AjfndKx53FaAtSkZyX0IJ+B14/laWIYEurbg9GbM8 C/UTN4RzWwnYq2DeO6ZDIKa8X+/y9JNQ4pv6mPOjBPDnxoUpnCKQoOTP5SYm z1DJaclmbioBrzJYY74YEMi8MKS+3TYCrZfOvSU8RkDBD6vy7yYEehB4J6fE +zG6oKS7lDFAQLbh85rFCySPGSmvvBnmj8y41R8FvCdgKn+77cjqHKSn3byr Ky4b7b3JeOYeyQP7A+pS7Ig8lOtV+KH0bhGSi99wwK+aBkpGn3b/+FGIoobr T77eVYk6Y172Pg+hQU48Q3jXWAnaYIPYJbUaEJtVfISQEA0UWJr8fIzL0ehN ZvXm3i50MpendXnvDByviVjzSLMDxSo2fg2uGEFqV9gKLI+PwxLPZk/PV2OI fcmp+bZfJ1LvrHZcpU3Aj4aymbp4ChI7WMVy63o1mg1+nbRtORX6wlSmDndR kLgOW7JWazEyn42aVNxPhXVC2tv45yjIyp9JyZw9G3XLdiTP76OC7Zp12/o2 EOgKYuisLUtEUq8Tl8r4qTCyd8BGUpRABx6c1bSyiEHdGxtPPmGjQmKpk4zr MQKNdrJvyewNRfoKtuUODFQYk9TfcUSDQGMOT+3LtwWhSmV7EcvPBByey4/5 Ts7lGqd15YWTPqj+O2dGGEFA/i3pu3JChSjgwuXFoPspKMbw6dEN3TQQb5hw DqG+RL/vzz8qt81FL7SKt3eWkPwwNqK6fvlrVPxTc2TK7CWqfeCStvweDW7c 3TCyisSx++2YNQ7V1UjlE+fi2sVZeGCnWyZ/uR09edwaq1TZggwMfA+/apuB QZbQ+POTvehuxr1qyaAOpE+NOq90fwp4esyXq/GOIOvUtp9SJU0ogxpmes5s Ah4ZjNtPHx1DOit3XVGKqER8jTs2W1qNQ33QWpYhLgrKyrzOvF63ABWYvPeL mKBCzrFoaz5/CnI+lGoaVJWKrs08/GYQSYVuUQ0erw4K2hi0auXbW3HIvM2i YYsZFaS0as7GMBIoTINFlJoVjlS75CLOSFLBuEVeqFGAQOs8j1oJPglCPS9G vipvpYJnfIXILykCvdnB5Rr/yxuZlIwwlZJzT6laprtRk0C5jpziMXVuaN5r XMif7L98WLrRUlkJKt14xFSgMAqdaP31+lYnDUwqneLTq16h77HzQ927E1Bw DufWFXk0EG18N1NyuRaZi3KrBAxlIMqDKrNNV2nApOCvWVvRghKupi6FjhSg i5k2p5Q/zUJRyctvlxW7UJ2pUJBZbDm6d73ouerXGXgfPGwSZtuHcoPqOsdu vUIvVPpedJtMg/JahfG1FsPoonzmAb3ml0jh8QWle/GTcKRUP9zYfhS1Snxn 92TLQ5pFbRfMtSZg/cqz1+3DxlCx7vdqR64XyPg8ZD29Og4s13/FFMtS0E/O m70iajFoeaDzDm2y/6w5u7n1EihIT+2hV6tHMBIu+B2vH0SFzcJnHyhSKOhF THhr4RpftDubdv7AP1QwOtaQ9oaNQOI0zhbbeTe07nmggLcYFUbPvpcU3keg q9fdUocTb6HF1bzmmeupwPvU8856JQIl3z84pNLhiBquC5TG/SIgfN1gAt/K l4jhz8/VumMgTKqDBsKf/3HTq6r8z/t9B1sOlJE8/P2cN+eGj3VIyuhDkJP9 Ptk/T5KfE999DTRv+8960VueFvOzs3BUiUP7kvQ7pPp1F3cPo6zsn+csPH/A zzL1qg/9YHKWzAzTkP3znIYMTn6FJ5LDSBc1zzz6caLiz3MSkmvVjxw8OPqf /Zft9g6LjJwA7nExtjFrkmeq2p/HJ6hW/HmOA48ih9+AAOU/68W2C+sVrxwH d+GWWPfg/31f7+XbVhVH4nnMV/Fn7/++n5nLlyg3oQLPmIKaFjPxn/enjS7/ 5jtIheaNqh4fdxEo0JH1n6/s+rJ/nlTYF/yWVVqBQFyd9iouCxdk/zwJ8JXW 08d4Zht1HiTxDNwmH+l4NuQNTcJ4XuESE0fiGZhydv4bnuEvnhdnpOh4fttl xhs2UgDNb7noeG66++wXxvPbnJZ0Es9wtdYqDuP56DbTMxjPw8kuH0k8Q6WP YwrGs92VfirG86j56QsknuG+Q9NxjOcrN9bR8WzGfVKZxDO80bzyb3iGv3gW SjuTjvH8rt2hkcQzaL2N4cR4/v1Yl47ne0OprC0ewcC8VjjhX/AMf/H8jGV/ EsZzoH3t9MV5N2iZXy2C8dzJ63EY47lJcymdxDN89Dc8j/G8rcnJFeN5fpCt n8QzbPQ6WYjx/H/4Gf7yMwefwH3Mz7tlhO+T/Azj++vo/Gz/9JwG5mc15qpP JD/DwwkROj/znfCfxPx8YmiEjeRn2H/YdAHz82TOwUrMz0GXtmSQ/AzL7/yQ wPxc4E2Nw/zMHMLVTvIzuE6OmWN+tuo9vqhK8vM+M0EO6ZIm4AUtc8zPFez7 bDE/L3jujif5Gc6JN3Nifp63XFxN5+fk8P51ugWgHCYaiPn5kMguC8zPfaZa ViQ/Q8eM9Tzm55duK+n8vBD6/hXJz7Bi/xY6P1/h1z+H+Tm3JHInyc8w9mIw 5F/4Gf7y82hX9j7Mz7wruW+R/AyHHu9ZLCH5ecqeQw/z8z33J44RdW6g7iy1 A/OzjFa3JdYb7/Z3Yr0B6iUsdL2xcGoqC+uNtZCG9QYcNV9G1xtlAs8Fsd6I k36L9QY0ubbR9YZ5qHsA1htOfjKrSb0B0TsMI7HeYEhrdMV6Y1Y6XJXUG2D3 ppSuN8zyLjFjvWGZGLpA6g1gkuXNxHojJ+OSG9YbPPnRnaTegK0n3l7DeiPR M3oS6w3dr7Ce1BvwrikgBesNnTUjVKw3Rlr7mkm9AQxPRGaw3jj1PI+uNwr6 RRfM2LNhQFX6xX/rjUt/9Ab81Rvih/fZYb2hWJFvddEiBsK1ZdWx3vDJfkLX G/ydc7/Se0PhtkUAXW9c9vq8HesNprrUgIptQaAgE7Trv/WG3R+9AX/1hhkL H10/qxzgZSH1M/TZ5tD183zs1BDWz1wnY1lJ/QxsKx3o+nnVOr1VWD+z9a1q J/UzMFxto+tnY+9LbFg/e544NkPqZ/BbkUbXzwsfRn2wft5e+dWP1M9QH8Ny COtnkbm1Elg/H7wyq0fqZ+D9zciO9XOzceovrJ9LCguekfoZNlnolWL9vELm axXWz4HW97L4X1WAT+0tfayfawZ252P93PpUTYHUz6AobqKK9fPpi5pXsH62 e56r8Hx5Fsw2vt/13/qZ8Y9+hv+rnwX+6Gf4q5/Vdu6i6+dzzKxf2mwjYNKi 9f/Rz95/9DP81c8slYlvsH42dK5KvxrmD5YlMQ+xfp55wtiK/aDyeTHsB6Hm iDvdD25Jf30V+8ER/XZ+0g+C7/Iwuh/0UNmqE036wXXLs8JIPwh+PyvpflDu yj4t7Ad7zexLST8IDVJn6X6wz8o7A/vBuLC+atIPglBVNd0PMo6srcR+0LpN cFG6sRg2fd+zE/tBAUjhw37QMPDpcT7HFODcm/gb+0FpU68P2A/6sF1YQfpB SBD2ksF+cMcmqY3YD/rG14WTfhAEGh9vwn7Qqewr3Q9q7d7qQvpB8AkxpvvB /TnvTmM/uDtPRJT0g0DZv84U+8EJiVS6H2zoPX+KISQW5I9fo/vB/TIUuh88 febEXYiJAN9rEnQ/6LU4R/eDWQIua0k/CJYvzel+kOvFrifYDx6ccuT0TwiA cFfBdOwHVWVTvHC+kVsQfnTGLhvmQlXp+QY3bcOcfrYsUqizfqfxPg8eB+XQ 841Yn4VAnG+MECua92kWQb9jIT3fmGWoZ8L5xqOWyBSxqBJw+wD0fGPRN2UA 5xuLp06dFpUuBr6kXHq+wXx0PBbnGxoZfjbBzi7osr2SFs43Wm9b78D5xjiH xNaE9jBgZOQuxPkG0yHrDpxvqNYfyi7nTgBXe5Z4nG+caTBzxPkGQ+T0ZZfW RFhMe1GO843+0sJEnG88kpWYgqV4+LqUr47zjR2PlGdwvmHR/SkokSMOylW5 o3G+gcrznuF8w8CFVZNJ8yk4JlxGON+Q1U/2wvnGmRHC0WBnOESK/3LF+cZP CzkZnG8M9cXxrh94DGbzu/f8d75x/E++AX/zjSnW3/S8Tqc5hFbWlQ6WMvX0 vC7E9dwTnNddsJMv4HTLhgfvuul5XcLQMD2vu7MPpakI5YKy7y56XsczuHwK 53WVT91xXgdWsRn0vC5t6NoBnNcFSjFkiqVkQ4PEM3peZ3H/gTvO6wSKH3rn WzsgSfGJXJzXefie/ILzuhgOtajJTh8Yen1qCOd1P7stpHFe1501/sZDJwJa fzuq4LxOScuPntfZnWgoZgmJBrUjF/8tr4P/T14Hf/O6EDMlB5zXKcoYMxpI RgDr5dh8nNcVjBTz4LyOb+67dmhVCFgWP2vEeV3Q9rq7OK8Ls05NKgt+BA71 h1txXje1qsYB53WPYk53G0Q+hJNHvMtwXlfN/vphwRKpJ2YKQ5TT+tCODQOz Xfenwcl+XsLmxDi6iDJKNnh0o/YNPZ/lxYfhtWWCFV4/MO3vR66HrTaPPuH1 L9t3SgRs2o+2RGgbijdlo6W9F10MyLmEtoyLNOdcRanuzCam45lII7CM/ftH GkRNH0N67wthok6de9A3B8XujXs430jyzNvhHFdXKkpYHZnlVHMTCapUf/Es osDkxUjv6+Rc+gt0awfCriCX93dvnCPnMj21fc0OXwIhP8H7zilBqEN7teGd AgI6xe4aN/oQyHznbUcLgwDEwv5w76YiAhpav7x2VaiAKv4PHQuepeh2T/mL 3U9okM63gvXsVyo6lNh1nWPPA+QR6xVYcZgCv49K5XwIqoG8wCiGZP16dDzU aM3eL7OwNm9O6NincRR24IRzfVE82uvn5qO9bAw+Im7OOJE6OPjDp0CSpRPZ mde3Mi/NgHx6WPyToS44som7TV6F9E+7w5M3y1Egcf9rkUsx7aiLp/6507Nu tOFeCyRZTYPp6p5v764OobHp3sux0I1+C41Q1/aPg1GMw2H5nG4kl2uldJP/ Dfhl9ktwrpsBe21rYbyP/EbpTHIfGLj7XAbvszmJ9gnvs6KIz4XcB2wOpxF4 n8IU828G6q/Rg/eV8xTHfjj7TP68BfM0VOrxjC3bE486tHIG58zaQCxir9+2 iVmI3VTncVPDAc2wfVnZxtsF2bftqhkPzUL026HDGCctGqORJE7AAK2ZxziJ Z9ixE/cnMk/sENkfqExk9cP9iZVY/Qr38+7dT+NJ+vVw4tQwvZ+ztGbLEK0W sEk7UntZ7BVINpsTFzpnwUE/gsmNnJfb8I1Kcl6Q0v47Gc9r3Y3yDXhe23uS R9n3PIBLy7R98bxS9zDe8iFx2D9AaJE4BF9ZVzoOb8fS6DisHY0+ReIQjkbX 0XHo8jOrD+Nwf33OFhKHsIFDm47Dht0FCRiHxXy7uF1qboKu3SyjF4lDq2ce 3qk6+UAxqJX7bpwBAcyRas/e06Blf5UvxufI2IjOaNgV8BdbdxXjc5JhDR2f NZdpXndSgqDtyMezGJ9m0t8vCwWR37W1klxGAkFwh1qgHJVFwPZNM2uY1ByB MfF5/+G5TOTu17Nyhqxz7NXRMPy/woc5Dcn/RUvHDOn/qzjGTvlM1vlRO5cz euo6fGzm2rmRrHPV4y5bvH8Ja/haY4EgVK2Xoor3b2odDd4+R0X1Af4iu229 oKjSJHlWggJfpIRv4v4POu8aJvuPTsTZj+H+W++bovXXvkdVB58zGS31oDzm +JOpdybh2ZHTL04ndqHi1Gd7N2W3Q3EKNVPtzTQw3DQYx+sLvy2uJ9fDmYwY TbzekVGxFuNf7+CVXBL/IHrvXBnGv08fEpzunUDnIn9ZRK4uAZWFbVs/ho+A rbpWOK6z5MXW83tsvdD0G6N4XGf0+64juD+/KTb1ZH8gLG+G3h+rfRPvcR+i 7qy7+WTqOrJPPSmO+yCiEHYG84DWF1U3S4MA4FgnJ4554GXPgrrDwDD6Z/65 8uWVA4j/cchA2RgFRqvVT+L3a53k9cj38FjcoBu//1lYLYTvtYDLkXjyXkOd Ja0d3+v8Lad12MziEXMWavRIGoFI0c3Hgn5OwNCS3+7SEmFk9vRaO7BnIRO9 Yy8pZJ1XluUv/BooBKePfDNndDPQudMz+ypI3Ru7SpWx146K/H77u7vJi6B+ aWbD6gYKHPE+eqTGmIpMf25QT7HYgR5ubWXZ1E8B7cnEbQb+BLIOyTU4Yx6I mv+54X4zj4DYtENxZ3nbofSGWqZtfA/6ZbptaZG818O1CyZZjR/QxreaJ5g2 EdDhz2z8y3sE+uQ4fNbfbYHLgvYyq7sa4LbSgECWwSzUhO2eN4uZQEe+FE1v DHGGyLNb8t3ERuEIw5ftWeS5NpZ+fUeeC54xHaGf683WLMZ58lzqGmaD5Lmg 2X+Wfi6fE+VbcJ2/ODdYGJgHwi3Hy964zldpovWYf+I8rJdI/kHOqwQtMf9E txddVJO0QPFFQZRvQxko0DvxMBP53dficL2E+xzmaPWG7DPaP5gtg/t87EWS FT6X2vm30uS5kNxHa1t8rs5V4l+ndKphb2gYJ/vxYXR3d3i9x/VJCLXZ8LOH 7HMUHPezUBABpQMDFrjPM9Pq1329CkC7Z1rJbzoVzSv06ESTvvuAmE3NjkBS nzu/YOYaD0DHdzt2lGYTcK+w7D7uW0C7kwnZNySZpsuP+7aLUzAW93+FHviT /YdHM4dWLZHnunDJ/7J23RQKsqiwKluZBHyeR961JA2C/fmwaVyn7L5ZFrJO uM8+0Yrr1OzYI9TbNolA0Jn1OHsf9MUG1OrUvAX+0BlCKccU9nuuyZ4gMqCv OoCNgexPYSDyfXSZityK5TUrRhzRxsMbm5iaKPAg+xZzlB+BRJJdZKsYAkC4 s3eXDqnHnpsEB+B99jAbFJD7IKv5B/R9ajQG3fE+Rrla47kjjvAgM7rzX/ZB f/c51DY6NMJcCqzaFvuF1QtQmVIk5/diGvRabRcYzKaiTzt4c+bqXFHdiT5H 9/sUYLceXr/hLRW1rFMazFSWR3auIfXjhhRY/Orf9OVyBWyQNG+OVi5ATqaC VFPSd4iY3JzraqOijapyfTmn78MBbo/oFSYUuG0iWjg1XwkaWzc7RKpUIp6o c5ML5jRo7r1fr6M/jlY06Tmmpoego5yMncpVY5B36NiOk1njiJP3vs9Igjn6 ctPP7qvRGNyqWwy4trkOspWEQj1TK5F9k73elCgNjn8wSh9OeAMG9Qkdtz+/ RA/XXJCZFabBa5OzXJivRDS4EclX6BWPgyjmq44z8/Z4vnd3hT0pX5mE9EP0 GvB8ZbYtPZGu6YdszwU/AccupLHjIW275CQ8XdPonxdfju7VNPQNd5O6UOqi wNAWAmJeynkJeHbAxd7LQUppVcAhMHesVXoW3hF2ufi8q/0NbpLnhdXdcvTz hl9a24LPyzVoPJaSHgLVpclN+LwOMZm3z4mOo98pzSY58drQdMhZV3J+DDw+ SogLaL+Gc6t9h7kiSiFeY1DjowsNVA7VC+ysqAKNxCv+VN1C4D8iIWhOvs/i rqTfR5v8dV3kfQSRH/n0+9hQKzOO5/79oOIecu6w1usBfe7SqGILnrudbmjs pzpXePBG7w6eexCHuaN5JBW9jFaXv1t7ENYKrMjIeEqB1X3zIqu4S2HrHqqF sFcOCIbnWv2qpIGJhv0W23AqajYWHB3LvYV0riYJh8VQQCgv2Azf03ufgg+S 9xQ+cfHq4nuKHv9Dv6dp76Nmt4wHgNBVY/o91SzocMZ9XqF1o53sM3rBf2sv 7nPTs9fuhc8I5P99vnPNynq0lTpljNooEGEjNerBQ0VPlbYGsm9uQxfeMfjE x4yBdu6okHckBYnveCTsQ+oxyUWHrQv+Y/BZbEcr1kvOG3zGSL2E5J3CfbFe 6tbjknMi9dJYQzorqZdQ0WeownqJbXJJNLH6BUpSGmdiyuxB+pqZ20SUZoC1 90N2x0g+XDRg8LadHEMpsoFHG9nHwYWtmtpD8kBTV9t2JfY+VBaaH4J5QG6U l16/j4/5K7J+OL+RZoLr/6K2cgTX72Il7ETWD5sZ3z7E9edc8NmJ67fbI3aA rB+MgoS24Pqn3uzxw/j3i+cLJ/EPUfx+dPy/z8reju+Lnclqm7YEc0jqzbmC 78sXuX3Z+F54e0w0kPcCTjtq0e+FwTkPwN+pCo9561qLHbAo/3k5/k4tbqV9 WknOdzYi1ZacLyq7oXcRz3f7hMgtjIefeXz2obUH0dWrMYkYD5ZruNbguR/6 KXGTnDuMqd09iuceF+kqj3F77LjZZxK3qJePi47bK9HZ7hjnBx0t2tritZGq I4cqxvlfPJ/8g2f0F8+8KWE/8HfN41vGJ/K7hmxP+Rfh71qzU4Evvnd6L/Wy yXuHWtXmpfC9m0y+EY3vr9DH8FPk/YULO81/4fv76FQina/ErNqqSL6C5Jcy dL5K+3WIC/ObrMSudE9leZi8oY4wv21dL/UD89g7o5yB3NP30cwy1yjMY5Ul O01tn76C8Se1aQxpRUhlBV+nXjjJY/aS1a0ODRCxZO7BpViD6i7cMZ/rnYX4 oUp7vF5xnDuGXA9eSdUdeP1oY0arpHkxaLIbNh9nzIaLHXG/khtoYJxor+4S 3I6qTg9qBPj2o4ej9d1ci5NgLlfTr1I6jgy7j5Urogbkp2BW3rhnFJDP8mGT 1TkIXSsQ97KdQrn5sYvvDYdg/Ou8sOXaerRWMYO9bc0wovkIzmlbT0IrTQyZ ZVHRyuP97uIOxch/2EakRoMCkdd7dS/aUNFtXdO4nT2ViOuYZqnjGVJfLT22 ySS/L/kPV6++pliH1ESnoksZKcAn3moXozCGBqsPKawJbYDWAP4s5z4qnJMK +JxqQ0F5qwRTXzk3gpButQ5fFQFGn9I9y1cTyCvqHEMWtQWA0V47fZj83x7a YKNLNhhJhGxmE0PI4q0SbTSHBj+3DJgJnC2C5PMmk47CFUjrtcrP4ATS72sa f02SLoG6iw4Rfo9KUKKlGdvnTBp8WdlrGOD+ApJVHWI5e+vQzNOnNV8u0KBJ J46Xb1UJjKl3ndmV9gY55Y9f8z5AA8MbYroDQq9gITbSeSmvBo0MTjfPKtPg WHJpL67nscTSerIeiAmyodcTrSh0Edczc/J1D1kPMPhdo9cTdYebb0N2GQQ3 t1ZrKb6C1Fcj+8Me0KB/Oor78cosUH8u4u50ogC+WUnJur+lgbyw2MbOk3lw QKHjn8MzedDm11dd3kqDqknu0hHjQtChLYPUynxwMo9kiayhwf8A0TKuuw== "]], {}}}, ImageSize->{937.6735780750627, 476.8}, ViewPoint->{1.668286241888984, -2.8041307840528686`, 0.896477306489722}, ViewVertical->{-0.235693832335477, 0.2329900925904504, 0.9434850471277801}]], "Output", CellChangeTimes->{ 3.785045792710889*^9, 3.78504585724308*^9, 3.785045891792234*^9, { 3.785045923361828*^9, 3.7850459313467627`*^9}, 3.785046041221805*^9, { 3.7850460843224792`*^9, 3.7850462151953087`*^9}, {3.785046571764153*^9, 3.785046785443297*^9}, 3.7850468218032312`*^9, 3.7850479167593*^9, { 3.785047950388239*^9, 3.785048028140559*^9}}, CellLabel-> "Out[114]=",ExpressionUUID->"a66c16b9-7055-4d96-ae38-ece1104a9a96"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"With", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"t", "=", RowBox[{"1", "/", "2"}]}], ",", RowBox[{"\[CapitalDelta]v", "=", "0"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"Re", "[", RowBox[{ RowBox[{ SubscriptBox["\[Epsilon]", "2"], "[", RowBox[{"t", ",", "U", ",", "\[CapitalDelta]v"}], "]"}], "\[LeftDoubleBracket]", RowBox[{"2", ";;", "4"}], "\[RightDoubleBracket]"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"U", ",", RowBox[{"-", "3"}], ",", "3"}], "}"}], ",", RowBox[{"Mesh", "\[Rule]", "None"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Opacity", "[", "0.2", "]"}]}], ",", RowBox[{"PlotTheme", "\[Rule]", "\"\\""}], ",", RowBox[{"AspectRatio", "\[Rule]", "1"}], ",", RowBox[{"BaseStyle", "\[Rule]", "16"}], ",", RowBox[{"PlotLegends", "\[Rule]", RowBox[{"Placed", "[", RowBox[{"Automatic", ",", RowBox[{"{", RowBox[{"Right", ",", "Center"}], "}"}]}], "]"}]}]}], "]"}]}], "\[IndentingNewLine]", "]"}]], "Input", CellChangeTimes->{ 3.770994016421832*^9, 3.7709941054050503`*^9, {3.770995492452344*^9, 3.770995499495879*^9}, {3.771206446269553*^9, 3.771206500861327*^9}, { 3.77120654089363*^9, 3.77120660388011*^9}, {3.771206653082106*^9, 3.771206657227775*^9}, {3.785044654608601*^9, 3.785044729675317*^9}, { 3.785044764988731*^9, 3.785044783004488*^9}, {3.785045000163924*^9, 3.785045012763007*^9}, {3.785045279387266*^9, 3.785045453793168*^9}, { 3.7850454908169727`*^9, 3.785045593229607*^9}, {3.785045626305575*^9, 3.7850456363573513`*^9}, {3.785045676278257*^9, 3.785045688182308*^9}, { 3.785045728743188*^9, 3.785045825501775*^9}, {3.785045971892192*^9, 3.785046076179545*^9}}, CellLabel->"In[69]:=",ExpressionUUID->"3f73bcc6-5be3-4025-8ba7-9ad4a12991b9"], Cell[BoxData[ TagBox[ GraphicsBox[{{{{}, {}, TagBox[ {RGBColor[0.790588, 0.201176, 0.], AbsoluteThickness[3], Opacity[0.2], CapForm["Butt"], LineBox[CompressedData[" 1:eJwB4QQe+yFib1JlAgAAAE0AAAACAAAAY6+Q7///B8BcqyKTFWwKwBT7GiY7 /AfARfzx16FoCsDERqVcdvgHwOJFLDAuZQrAJt65yezwB8AYIfsaR14KwOoM 46PZ4QfAzxC02nlQCsBwajVYs8MHwDa/KwjjNArAfiXawGaHB8AAiXxIxP0J wJqbI5LNDgfATpxN0cOPCcCf34hvUQkGwIIoDo9nogjAFtBTTykVBcAIEFDI TMYHwMhQU0TLJQTA6lk16BLwBsBIKSV0IyIDwNaK4EKZCQbAOq5cps8vAsCm HNExdjQFwPqKZhMyKQHAx/k7BdJPBMD196SVXicAwOcl4lTycQPAxCKSNL5t /r900MG8h6UCwDsFf7MrZPy/QcMfZOrKAcCUQDc3QX36v852bWP1AQHAY5xY 5eqf+L9GWJY6KkAAwM+nHgkBmva/hM4t86Xj/r8eDLAxv7b0v7lE82edav2/ CiDmz+mq8r/d/w8Yedv7v2xUhZioqPC/loNpMSBe+r9gw9/LHpLtvw2vO8Cc BPm/Ij3+UcWB6b+HrWu8wpn3v6los+G7tuW/URA3KgJT9r9q87Fci5rhv9jh 95nB/vS/Ln4FWQYj27+Do1vOar/zvxN51AuWm9O/q1MlRTqj8r/XZGwqr+PG v3RUiP+RfvG/d3oqjsmVrr91DfjEKnzwv6qPOECkMK0/L6QnwM4Z77+OaYHW YILHPwkeK1EsMu2/DfRMO6xR0z968tTXXIjrv+B0xjR2hNs/KUl3dwza6b/u uU3Cd8jhP1VmtvcfUui/poehYGSJ5T/JtrNWsv7mvyX2qxN4m+k/Tv4Mp6qp 5b/esh+9O2jtP8dAM4xIg+S/VZfgiOuQ8D9LWks+vHfjv56ljL1MlvI/R21c 2lxr4r8EW23tBXn0P0g6A6QOhOG/zmCpp1KE9j8Hk98kepzgv7UNGl33bPg/ eRaQepCp378mmiHoB0z6PxmMYdp0Pt6/+naE/atT/D8pepoDwdHcv+v6Gw6o OP4/Pz+FTmmW27+gZ4fUGyMAQNQjCPKNWdq/kEHMjBklAUBlIqazZjnZvw5v q0LDFQJARwby20M/2L++RLi9thoDQOCwasuaQte//W1fNlYOBECfUgSfp2bW vwEH0pkr/QRA9KqYK7Gc1b82SHLCSgAGQKxNuJOWz9S/+tys6BXyBkBfwiv5 QxzUv0RsyJBN9gZAo432NDwZ1L+N++M4hfoGQJlHdUU1FtS/IBobifQCB0Bb WlPjKRDUv0dXiSnTEwdAbjf7CR0E1L+U0WVqkDUHQLkps74q7NO/LsYe7Ap5 B0Dc+3Kq4bzTv3hVOpRCfQdAltOP5vO507/B5FU8eoEHQIFGx+0Gt9O/VAON jOmJB0AodltcL7HTv3tA+yzImgdA6Vb2sYml07/IutdthbwHQDRMSv5jjtO/ EkrzFb3AB0A/gFfJgovTv1zZDr70xAdANLnjWqKI07/v90UOZM0HQFisVtDj gtO/FjW0rkLeB0DDlrv8b3fTv2DEz1Z64gdAchTV85R007+pU+v+seYHQHqq K6+6cdO/PHIiTyHvB0CpeXFxCGzTv4YBPvdY8wdASa3RdzBp07/QkFmfkPcH QB7uUEFZZtO/GiB1R8j7B0CXBqjNgmPTv2OvkO///wdA8N+PHK1g078gQHoc "]]}, Annotation[#, "Charting`Private`Tag$7834#1"]& ], TagBox[ {RGBColor[0.192157, 0.388235, 0.807843], AbsoluteThickness[3], Opacity[ 0.2], CapForm["Butt"], LineBox[CompressedData[" 1:eJxF1H0s1HEcB/A73P1G3FoXW6eJs9MO08M8DeXLFDMmDrGUWx4zN83kqdE0 QqGboTottTwTSVkq7vLUSTrFMikPiXmMuNztzkNaX5/fH++9/nvv/dfb5GKc X4QGhULx3sk/wxqFy9vbhGTX/WqWmeMGadfpipBEJanZWGvv4grpvO7U45FJ 0ssxNkHNnaTpnK+SyGxSUalpYT+DtGw8J85Xmw4aDPB8uPo0UHqG59bH0QI9 uJwEU7amxBLr0BBSKTuiIXHCqm5GMo9zqRI19o+ivPjCYYpEie1iF1q3C7bE 3VhH2rVmi/ANsAjZ2bmkqcTF2LD7QdPzZUpQVmWkTRWtg0a6T4+JW+SgjvGM bK52FYz1z7pbXb0iFmD5neN9RoVL4lAs+8SWb3fGHFgT3Tz5umUajFlrCrkl mgSt0mnBdNNRkJkytKekdBAcDo81b5zqAZNSzQt6ixvA2tv2qPzoE+ddCy5l fOFffwfqyb0c630HwYmEHuvEzFHwV6t3R5J0EqzMfsQPz512rsBy1uuYyaVz 4NizQ22O0UtgwJ2JnAXhCvigIq/Nq2QV1DonWKKlyMGP/Joqv8x1537sCz3W eUWsEjQTmcwSXipQlZi5WcfbABdUhoxq+y3wYVT2kKEpBe0qdPmQd4BDBRlx da6d+hqIiW13e9nWwtIENwWhtoEMLZBKfL5nsUlq6xHf4Umhg6pv9bP6q3S0 9/t/3WKlQu91OorD5qun7LNUpMYsw1y5BgG6n83lDjJJiz5FxAhtSK16jBZ1 UkiTAxyKXNNI3/4McErNIPXXzM+byyUQD3sVqS2lIlLpq2FB1hsCvcfu81zT b5MQ6CA2ZITRLu/a6cEuK04xwvsJ9BtrYPO8wXWMQCwsv0sWmPqDQFHYGt7C VtMMgZqwTvFsH5NlAtlhb1BPKoLWSAeEwWVCBYFkWJbxFXepemcPFv8WisH+ BQ6qU3k= "]]}, Annotation[#, "Charting`Private`Tag$7834#2"]& ], TagBox[ {RGBColor[1., 0.607843, 0.], AbsoluteThickness[3], Opacity[0.2], CapForm["Butt"], LineBox[CompressedData[" 1:eJwtlGs0lAkYgMdl5tv5YmpXahvlumMXm9RxW9L7ku4c41ot2tmQsiOlCHvU sUtMW2ZWdJkuVsm1FFpbFt+XpOki1igrLSZpTcyS24z7tufsj+c8/56fj9nu GL8IbQaD4f2B/xx2UzI0P0/Qw93i5TcEclg8zbV0nSHox+w7mQ5hcmjYeC0k XkPQPpNOF+si5GDZdffR4DBBH15KnmiNksM7vd6rHQqC9jbJqNKKk8OBKIcd lfcJ2qSg4liySA5HeS/pPekEXWNk4DZYIQfpBYusJg5B5zP5k+VEG+R2Z8T4 sln0wk3WM7dkbbCkxd/HypBJX5xXPDQSPQcZ39/zCU+XXrVlkYmb3wvYbMU7 bGGuQwv0OuPKXNvBpSykoHmVNr3z0NVge96fMHVij8EaKy36YHxp5rx9B4yr 83N2fc6gxTHKyUsBL6HBPMu+LnqOEmseGGyI6wRX5rFKm/AZyoyp7Z/f+Aqy 0cnJPXmKsr2dua6A2wVhF3f0vcvVUJf4fChI6YbmQmO2lnSCivI2bttyugeM 9W6tpqrGKIeDx4U1kQogTd82K0tGqALKX2L87WsQBqSdKyoapgJ2yVYPRfWC 4H73E+MsFVUtPXube+QNmLvN+T5IUVKDKzos6fI+KN5bqfi9qo/S/FYdu3no LUSNlof8JFVQG1vc2tW7+8H2KHMny6KTGk63P+CnUoJBYtuCMxfkVFOUILU4 YQDaw4XWN3sbqQpxnL2zpwqOJFlnPsopo9Yf0n+v4QxBidgZ8+1uQPYZwx+E 8cOQuS/lheCHh+BYE7F+t+g96I95uV73lQNW1SadPzcCPYcb7eNTO+Gpu0pm 8WwU/rnrXX9EpgCzRdp/bdMfh4L0PEG4qA+cc0uCF3hOAG+i1CDhghK+SgoJ /fmKGroqTGpd96qgNbH4s/pxDQSe7ckYkAxDiier6JHXFFy+drLW68wIuL+q tp5+Mg26wdEqZuIYfKHZD/qus/BMUFzolzoBvtbLqsWtc/CrPjdULdRACbu7 9oYNAy2lZv3Eh07OXIi4VcXAqfjU2VL/Gag/4WDCadDCgSkjTpHzHIRe67Iz E2vjL5HpbUYWDFwulGV579dBifvTk8t4WtjOdA/b6KWLnJhSj/uG2vj8plVd 6Qom1nneqa3i6mCPlLeU1GHhbPQ3jkEcXeRrwNqmk4VaROt5m1ld3LV8A3Xv FoGOm2PrtzJY+LevMttN+hFOvbrebzjCQo/A1sjLcWz0FMok3hMsHHGLXBqX yMZT073OaVMsTMrPUmxLZqMp10g0pk3gvrS0B5OpbNy0XWQlNyBwZZ3scVA2 G7P/iIiSOBDY6ri23rCSjbaNxoNkIoEFvGizwmE2JgS6ZHskEzjqo/dxyhgb 770JXJuUQmBOE4cbrGFjgM6pk0oRgRaxnyYsZJD4PU5/KZMSGLTAJSxxIYmy 6vbotBoCt+vmqXxtSfxk66hhLU3gYhfjmJVrSAzp4NSNNRAo4n/HZjuSOKTe wAlvIvBoEz+DdiNxicPtMo8uAscLt5XZeZMoaGgOSnpNYP+ereN6viQW+w/M lb8l8L2sJUAZQOLaWHMfsyECY/P4oVdCSDyutU69Y5RAOydn1jEBiS2SnbkS NYHish8fBoeTyDWN2ySbJlBhap3nvJfE//+FX5eanzYUkvgvEY08Wg== "]]}, Annotation[#, "Charting`Private`Tag$7834#3"]& ]}, {}}, InsetBox[ TemplateBox[{TagBox[ FrameBox[ StyleBox["1", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["2", Smaller, StripOnInput -> False]], "Placeholder"],TagBox[ FrameBox[ StyleBox["3", Smaller, StripOnInput -> False]], "Placeholder"]}, "LineLegend", DisplayFunction->(FormBox[ StyleBox[ StyleBox[ PaneBox[ TagBox[ GridBox[{{ TagBox[ GridBox[{{ GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}, { GraphicsBox[{{ Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], { LineBox[{{0, 10}, {20, 10}}]}}, { Directive[ EdgeForm[ Directive[ Opacity[0.3], GrayLevel[0]]], PointSize[0.5], RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], {}}}, AspectRatio -> Full, ImageSize -> {20, 10}, PlotRangePadding -> None, ImagePadding -> Automatic, BaselinePosition -> (Scaled[0.1] -> Baseline)], #3}}, GridBoxAlignment -> { "Columns" -> {Center, Left}, "Rows" -> {{Baseline}}}, AutoDelete -> False, GridBoxDividers -> { "Columns" -> {{False}}, "Rows" -> {{False}}}, GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}}, GridBoxSpacings -> { "Columns" -> {{0.5}}, "Rows" -> {{0.8}}}], "Grid"]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"], Alignment -> Left, AppearanceElements -> None, ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"], LineIndent -> 0, StripOnInput -> False], { FontFamily -> "Arial"}, Background -> Automatic, StripOnInput -> False], TraditionalForm]& ), Editable->True, InterpretationFunction:>(RowBox[{"LineLegend", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Directive", "[", RowBox[{ InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.790588, 0.201176, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.5270586666666667, 0.13411733333333334`, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.790588`", ",", "0.201176`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.790588, 0.201176, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.790588, 0.201176, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}], ",", RowBox[{"Opacity", "[", "0.2`", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[0.192157, 0.388235, 0.807843], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[ 0.12810466666666667`, 0.25882333333333335`, 0.538562], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"0.192157`", ",", "0.388235`", ",", "0.807843`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[0.192157, 0.388235, 0.807843]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[0.192157, 0.388235, 0.807843], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}], ",", RowBox[{"Opacity", "[", "0.2`", "]"}]}], "]"}], ",", RowBox[{"Directive", "[", RowBox[{ InterpretationBox[ ButtonBox[ TooltipBox[ GraphicsBox[{{ GrayLevel[0], RectangleBox[{0, 0}]}, { GrayLevel[0], RectangleBox[{1, -1}]}, { RGBColor[1., 0.607843, 0.], RectangleBox[{0, -1}, {2, 1}]}}, DefaultBaseStyle -> "ColorSwatchGraphics", AspectRatio -> 1, Frame -> True, FrameStyle -> RGBColor[0.6666666666666667, 0.4052286666666667, 0.], FrameTicks -> None, PlotRangePadding -> None, ImageSize -> Dynamic[{ Automatic, 1.35 CurrentValue["FontCapHeight"]/ AbsoluteCurrentValue[Magnification]}]], StyleBox[ RowBox[{"RGBColor", "[", RowBox[{"1.`", ",", "0.607843`", ",", "0.`"}], "]"}], NumberMarks -> False]], Appearance -> None, BaseStyle -> {}, BaselinePosition -> Baseline, DefaultBaseStyle -> {}, ButtonFunction :> With[{Typeset`box$ = EvaluationBox[]}, If[ Not[ AbsoluteCurrentValue["Deployed"]], SelectionMove[Typeset`box$, All, Expression]; FrontEnd`Private`$ColorSelectorInitialAlpha = 1; FrontEnd`Private`$ColorSelectorInitialColor = RGBColor[1., 0.607843, 0.]; FrontEnd`Private`$ColorSelectorUseMakeBoxes = True; MathLink`CallFrontEnd[ FrontEnd`AttachCell[Typeset`box$, FrontEndResource["RGBColorValueSelector"], { 0, {Left, Bottom}}, {Left, Top}, "ClosingActions" -> { "SelectionDeparture", "ParentChanged", "EvaluatorQuit"}]]]], BaseStyle -> Inherited, Evaluator -> Automatic, Method -> "Preemptive"], RGBColor[1., 0.607843, 0.], Editable -> False, Selectable -> False], ",", RowBox[{"CapForm", "[", "\"Butt\"", "]"}], ",", RowBox[{"AbsoluteThickness", "[", "3", "]"}], ",", RowBox[{"Opacity", "[", "0.2`", "]"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ TagBox[#, HoldForm], ",", TagBox[#2, HoldForm], ",", TagBox[#3, HoldForm]}], "}"}], ",", RowBox[{"LegendMarkers", "\[Rule]", "None"}], ",", RowBox[{"LabelStyle", "\[Rule]", RowBox[{"{", "}"}]}], ",", RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}]}], "]"}]& )], Scaled[{0.99, 0.5}], ImageScaled[{1, 0.5}], BaseStyle->{FontSize -> Larger}, FormatType->StandardForm]}, AspectRatio->1, Axes->{False, False}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, BaseStyle->16, DisplayFunction->Identity, Frame->{{True, False}, {True, False}}, FrameLabel->{{None, None}, {None, None}}, FrameStyle->{{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks->FrontEndValueCache[{{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, {{{{-3., FormBox[ RowBox[{"-", "3"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox["1", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {3., FormBox["3", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}, {{{-3., FormBox[ RowBox[{"-", "3"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-2., FormBox[ RowBox[{"-", "2"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {-1., FormBox[ RowBox[{"-", "1"}], TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {0., FormBox["0", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {1., FormBox["1", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {2., FormBox["2", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}, {3., FormBox["3", TraditionalForm], {0.01, 0.}, { AbsoluteThickness[0.1]}}}, {}}}], GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{-3, 3}, {-3.3027755255656484`, 3.3027755255656475`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }], InterpretTemplate[Legended[ Graphics[{{{{}, {}, Annotation[{ Directive[ RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], Line[CompressedData[" 1:eJwB4QQe+yFib1JlAgAAAE0AAAACAAAAY6+Q7///B8BcqyKTFWwKwBT7GiY7 /AfARfzx16FoCsDERqVcdvgHwOJFLDAuZQrAJt65yezwB8AYIfsaR14KwOoM 46PZ4QfAzxC02nlQCsBwajVYs8MHwDa/KwjjNArAfiXawGaHB8AAiXxIxP0J wJqbI5LNDgfATpxN0cOPCcCf34hvUQkGwIIoDo9nogjAFtBTTykVBcAIEFDI TMYHwMhQU0TLJQTA6lk16BLwBsBIKSV0IyIDwNaK4EKZCQbAOq5cps8vAsCm HNExdjQFwPqKZhMyKQHAx/k7BdJPBMD196SVXicAwOcl4lTycQPAxCKSNL5t /r900MG8h6UCwDsFf7MrZPy/QcMfZOrKAcCUQDc3QX36v852bWP1AQHAY5xY 5eqf+L9GWJY6KkAAwM+nHgkBmva/hM4t86Xj/r8eDLAxv7b0v7lE82edav2/ CiDmz+mq8r/d/w8Yedv7v2xUhZioqPC/loNpMSBe+r9gw9/LHpLtvw2vO8Cc BPm/Ij3+UcWB6b+HrWu8wpn3v6los+G7tuW/URA3KgJT9r9q87Fci5rhv9jh 95nB/vS/Ln4FWQYj27+Do1vOar/zvxN51AuWm9O/q1MlRTqj8r/XZGwqr+PG v3RUiP+RfvG/d3oqjsmVrr91DfjEKnzwv6qPOECkMK0/L6QnwM4Z77+OaYHW YILHPwkeK1EsMu2/DfRMO6xR0z968tTXXIjrv+B0xjR2hNs/KUl3dwza6b/u uU3Cd8jhP1VmtvcfUui/poehYGSJ5T/JtrNWsv7mvyX2qxN4m+k/Tv4Mp6qp 5b/esh+9O2jtP8dAM4xIg+S/VZfgiOuQ8D9LWks+vHfjv56ljL1MlvI/R21c 2lxr4r8EW23tBXn0P0g6A6QOhOG/zmCpp1KE9j8Hk98kepzgv7UNGl33bPg/ eRaQepCp378mmiHoB0z6PxmMYdp0Pt6/+naE/atT/D8pepoDwdHcv+v6Gw6o OP4/Pz+FTmmW27+gZ4fUGyMAQNQjCPKNWdq/kEHMjBklAUBlIqazZjnZvw5v q0LDFQJARwby20M/2L++RLi9thoDQOCwasuaQte//W1fNlYOBECfUgSfp2bW vwEH0pkr/QRA9KqYK7Gc1b82SHLCSgAGQKxNuJOWz9S/+tys6BXyBkBfwiv5 QxzUv0RsyJBN9gZAo432NDwZ1L+N++M4hfoGQJlHdUU1FtS/IBobifQCB0Bb WlPjKRDUv0dXiSnTEwdAbjf7CR0E1L+U0WVqkDUHQLkps74q7NO/LsYe7Ap5 B0Dc+3Kq4bzTv3hVOpRCfQdAltOP5vO507/B5FU8eoEHQIFGx+0Gt9O/VAON jOmJB0AodltcL7HTv3tA+yzImgdA6Vb2sYml07/IutdthbwHQDRMSv5jjtO/ EkrzFb3AB0A/gFfJgovTv1zZDr70xAdANLnjWqKI07/v90UOZM0HQFisVtDj gtO/FjW0rkLeB0DDlrv8b3fTv2DEz1Z64gdAchTV85R007+pU+v+seYHQHqq K6+6cdO/PHIiTyHvB0CpeXFxCGzTv4YBPvdY8wdASa3RdzBp07/QkFmfkPcH QB7uUEFZZtO/GiB1R8j7B0CXBqjNgmPTv2OvkO///wdA8N+PHK1g078gQHoc "]]}, "Charting`Private`Tag$7834#1"], Annotation[{ Directive[ RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], Line[CompressedData[" 1:eJxF1H0s1HEcB/A73P1G3FoXW6eJs9MO08M8DeXLFDMmDrGUWx4zN83kqdE0 QqGboTottTwTSVkq7vLUSTrFMikPiXmMuNztzkNaX5/fH++9/nvv/dfb5GKc X4QGhULx3sk/wxqFy9vbhGTX/WqWmeMGadfpipBEJanZWGvv4grpvO7U45FJ 0ssxNkHNnaTpnK+SyGxSUalpYT+DtGw8J85Xmw4aDPB8uPo0UHqG59bH0QI9 uJwEU7amxBLr0BBSKTuiIXHCqm5GMo9zqRI19o+ivPjCYYpEie1iF1q3C7bE 3VhH2rVmi/ANsAjZ2bmkqcTF2LD7QdPzZUpQVmWkTRWtg0a6T4+JW+SgjvGM bK52FYz1z7pbXb0iFmD5neN9RoVL4lAs+8SWb3fGHFgT3Tz5umUajFlrCrkl mgSt0mnBdNNRkJkytKekdBAcDo81b5zqAZNSzQt6ixvA2tv2qPzoE+ddCy5l fOFffwfqyb0c630HwYmEHuvEzFHwV6t3R5J0EqzMfsQPz512rsBy1uuYyaVz 4NizQ22O0UtgwJ2JnAXhCvigIq/Nq2QV1DonWKKlyMGP/Joqv8x1537sCz3W eUWsEjQTmcwSXipQlZi5WcfbABdUhoxq+y3wYVT2kKEpBe0qdPmQd4BDBRlx da6d+hqIiW13e9nWwtIENwWhtoEMLZBKfL5nsUlq6xHf4Umhg6pv9bP6q3S0 9/t/3WKlQu91OorD5qun7LNUpMYsw1y5BgG6n83lDjJJiz5FxAhtSK16jBZ1 UkiTAxyKXNNI3/4McErNIPXXzM+byyUQD3sVqS2lIlLpq2FB1hsCvcfu81zT b5MQ6CA2ZITRLu/a6cEuK04xwvsJ9BtrYPO8wXWMQCwsv0sWmPqDQFHYGt7C VtMMgZqwTvFsH5NlAtlhb1BPKoLWSAeEwWVCBYFkWJbxFXepemcPFv8WisH+ BQ6qU3k= "]]}, "Charting`Private`Tag$7834#2"], Annotation[{ Directive[ RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], Line[CompressedData[" 1:eJwtlGs0lAkYgMdl5tv5YmpXahvlumMXm9RxW9L7ku4c41ot2tmQsiOlCHvU sUtMW2ZWdJkuVsm1FFpbFt+XpOki1igrLSZpTcyS24z7tufsj+c8/56fj9nu GL8IbQaD4f2B/xx2UzI0P0/Qw93i5TcEclg8zbV0nSHox+w7mQ5hcmjYeC0k XkPQPpNOF+si5GDZdffR4DBBH15KnmiNksM7vd6rHQqC9jbJqNKKk8OBKIcd lfcJ2qSg4liySA5HeS/pPekEXWNk4DZYIQfpBYusJg5B5zP5k+VEG+R2Z8T4 sln0wk3WM7dkbbCkxd/HypBJX5xXPDQSPQcZ39/zCU+XXrVlkYmb3wvYbMU7 bGGuQwv0OuPKXNvBpSykoHmVNr3z0NVge96fMHVij8EaKy36YHxp5rx9B4yr 83N2fc6gxTHKyUsBL6HBPMu+LnqOEmseGGyI6wRX5rFKm/AZyoyp7Z/f+Aqy 0cnJPXmKsr2dua6A2wVhF3f0vcvVUJf4fChI6YbmQmO2lnSCivI2bttyugeM 9W6tpqrGKIeDx4U1kQogTd82K0tGqALKX2L87WsQBqSdKyoapgJ2yVYPRfWC 4H73E+MsFVUtPXube+QNmLvN+T5IUVKDKzos6fI+KN5bqfi9qo/S/FYdu3no LUSNlof8JFVQG1vc2tW7+8H2KHMny6KTGk63P+CnUoJBYtuCMxfkVFOUILU4 YQDaw4XWN3sbqQpxnL2zpwqOJFlnPsopo9Yf0n+v4QxBidgZ8+1uQPYZwx+E 8cOQuS/lheCHh+BYE7F+t+g96I95uV73lQNW1SadPzcCPYcb7eNTO+Gpu0pm 8WwU/rnrXX9EpgCzRdp/bdMfh4L0PEG4qA+cc0uCF3hOAG+i1CDhghK+SgoJ /fmKGroqTGpd96qgNbH4s/pxDQSe7ckYkAxDiier6JHXFFy+drLW68wIuL+q tp5+Mg26wdEqZuIYfKHZD/qus/BMUFzolzoBvtbLqsWtc/CrPjdULdRACbu7 9oYNAy2lZv3Eh07OXIi4VcXAqfjU2VL/Gag/4WDCadDCgSkjTpHzHIRe67Iz E2vjL5HpbUYWDFwulGV579dBifvTk8t4WtjOdA/b6KWLnJhSj/uG2vj8plVd 6Qom1nneqa3i6mCPlLeU1GHhbPQ3jkEcXeRrwNqmk4VaROt5m1ld3LV8A3Xv FoGOm2PrtzJY+LevMttN+hFOvbrebzjCQo/A1sjLcWz0FMok3hMsHHGLXBqX yMZT073OaVMsTMrPUmxLZqMp10g0pk3gvrS0B5OpbNy0XWQlNyBwZZ3scVA2 G7P/iIiSOBDY6ri23rCSjbaNxoNkIoEFvGizwmE2JgS6ZHskEzjqo/dxyhgb 770JXJuUQmBOE4cbrGFjgM6pk0oRgRaxnyYsZJD4PU5/KZMSGLTAJSxxIYmy 6vbotBoCt+vmqXxtSfxk66hhLU3gYhfjmJVrSAzp4NSNNRAo4n/HZjuSOKTe wAlvIvBoEz+DdiNxicPtMo8uAscLt5XZeZMoaGgOSnpNYP+ereN6viQW+w/M lb8l8L2sJUAZQOLaWHMfsyECY/P4oVdCSDyutU69Y5RAOydn1jEBiS2SnbkS NYHish8fBoeTyDWN2ySbJlBhap3nvJfE//+FX5eanzYUkvgvEY08Wg== "]]}, "Charting`Private`Tag$7834#3"]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& }, AxesOrigin -> {0, 0}, FrameTicks -> {{Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}, { Charting`FindScaledTicks[ (Charting`SimpleTicks[#, #2, 6]& )[ SlotSequence[1]], {Identity, Identity}]& , {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, BaseStyle -> 16, DisplayFunction :> Identity, Frame -> {{True, False}, {True, False}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> {{ StrokeForm[ Opacity[0]], StrokeForm[ Opacity[0]]}, {Automatic, None}}, FrameTicks -> {{Charting`SimpleTicks[#, #2, 6]& , None}, { Charting`SimpleTicks[#, #2, 6]& , None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.4, 0.5], AbsoluteThickness[1], AbsoluteDashing[{1, 2}]], Method -> { "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange -> {{-3, 3}, {-3.3027755255656484`, 3.3027755255656475`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks -> { Charting`SimpleTicks[#, #2, 6]& , Charting`SimpleTicks[#, #2, 6]& }}], Placed[ Unevaluated[ LineLegend[{ Directive[ RGBColor[0.790588, 0.201176, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], Directive[ RGBColor[0.192157, 0.388235, 0.807843], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]], Directive[ RGBColor[1., 0.607843, 0.], CapForm["Butt"], AbsoluteThickness[3], Opacity[0.2]]}, { HoldForm[ Placeholder[ Style[1, Smaller]]], HoldForm[ Placeholder[ Style[2, Smaller]]], HoldForm[ Placeholder[ Style[3, Smaller]]]}, LegendMarkers -> None, LabelStyle -> {}, LegendLayout -> "Column"]], {Right, Center}, Identity]]& ], AutoDelete->True, Editable->True, SelectWithContents->False, Selectable->True]], "Output", CellChangeTimes->{{3.78504599729522*^9, 3.785046076794483*^9}}, CellLabel->"Out[69]=",ExpressionUUID->"a5514e63-27e4-463e-a62a-f18bad20fa96"] }, Open ]] }, Closed]] }, WindowSize->{2560, 1395}, WindowMargins->{{0, Automatic}, {Automatic, 0}}, Magnification:>1.25 Inherited, FrontEndVersion->"12.1 for Mac OS X x86 (64-bit) (March 13, 2020)", StyleDefinitions->"Default.nb", ExpressionUUID->"ce675d1c-5dcb-4f22-90a4-6e534413b220" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[580, 22, 159, 3, 123, "Title",ExpressionUUID->"df6838b3-416f-41aa-8feb-92b063181cb8"], Cell[742, 27, 309, 6, 4918, "Input",ExpressionUUID->"f66e47c0-50bd-4108-a130-4d3b6eef42b2", InitializationCell->True], Cell[1054, 35, 575, 12, 7271, "Input",ExpressionUUID->"ff79391f-b0b3-409a-a00a-941dbaf24736", InitializationCell->True], Cell[1632, 49, 444, 9, 10065, "Input",ExpressionUUID->"fde18561-43e3-4c0a-a95a-b9d4cbabddc8"] }, Closed]], Cell[CellGroupData[{ Cell[2113, 63, 211, 4, 89, "Title",ExpressionUUID->"9c2617bc-7813-4cf8-b99a-7080e4a61068"], Cell[2327, 69, 250, 6, 44, "Text",ExpressionUUID->"413c3c81-85ff-4454-bff8-cf56cbfb864e"], Cell[CellGroupData[{ Cell[2602, 79, 228, 4, 84, "Section",ExpressionUUID->"78a3f160-dbc5-42fe-84c6-fd027d5630f1"], Cell[CellGroupData[{ Cell[2855, 87, 162, 3, 67, "Subsection",ExpressionUUID->"c05480aa-12a8-42bf-9ddf-40acaf6125b5"], Cell[3020, 92, 151592, 2492, 29882, "Input",ExpressionUUID->"a33c358c-7ba2-498f-8b48-614f780939eb"] }, Closed]], Cell[CellGroupData[{ Cell[154649, 2589, 132, 3, 46, "Subsection",ExpressionUUID->"cab6fe9a-e87b-498f-ac4e-77c3e76c081f"], Cell[154784, 2594, 201043, 3302, 29501, "Input",ExpressionUUID->"45745601-6db0-4b70-9341-555e7abea2c4"] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[355876, 5902, 171, 3, 84, "Section",ExpressionUUID->"3294b450-814c-4252-b8db-ce6dbf524a45"], Cell[CellGroupData[{ Cell[356072, 5909, 159, 3, 67, "Subsection",ExpressionUUID->"8a627e6a-7231-48ee-864d-8b72abff9de8"], Cell[356234, 5914, 207483, 3407, 3656, "Input",ExpressionUUID->"21f0b41d-04fa-43c7-b2fc-a17549826a12"] }, Closed]], Cell[CellGroupData[{ Cell[563754, 9326, 165, 3, 46, "Subsection",ExpressionUUID->"ad1bf883-f9e0-409f-913b-f1973489bf37"], Cell[563922, 9331, 895, 23, 44, "Text",ExpressionUUID->"4459c1e2-9521-4527-9764-2f8dbbbb58c6"], Cell[CellGroupData[{ Cell[564842, 9358, 2834, 82, 100, "Input",ExpressionUUID->"fc5e52d4-dd9a-4ca1-9e17-f8a5864a3c7a"], Cell[567679, 9442, 203, 3, 42, "Output",ExpressionUUID->"0b127627-1c73-48f9-ab29-e3a88449cea4"] }, Open ]], Cell[567897, 9448, 174, 3, 44, "Text",ExpressionUUID->"f0ec1282-5519-4bc3-bbc2-15b58bc40878"], Cell[CellGroupData[{ Cell[568096, 9455, 1115, 25, 100, "Input",ExpressionUUID->"e8bc24ca-d63e-4317-8f56-29725dd33e93"], Cell[569214, 9482, 2433, 66, 46, "Output",ExpressionUUID->"7325c05a-1fb2-453d-a7a2-02fd26c61e7f"] }, Open ]], Cell[CellGroupData[{ Cell[571684, 9553, 2353, 62, 92, "Input",ExpressionUUID->"0c9257e5-9766-4e50-b0f4-e8be9fba566e"], Cell[574040, 9617, 65328, 1241, 468, "Output",ExpressionUUID->"2bff8305-057b-48ab-b1e8-07cfccf6869a"] }, Open ]], Cell[639383, 10861, 241, 6, 44, "Text",ExpressionUUID->"22b2083c-b560-418d-951c-765afd1b6a38"], Cell[639627, 10869, 2029, 54, 117, "Input",ExpressionUUID->"304058af-372f-46d3-8990-35bbe8a5fcf0"], Cell[641659, 10925, 1287, 39, 51, "Input",ExpressionUUID->"971084cf-62a0-43db-aa6f-7e6c17a43b0a"], Cell[642949, 10966, 650, 20, 54, "Input",ExpressionUUID->"227afb56-178f-4bea-b36d-6bdaf2eb91d9"], Cell[643602, 10988, 909, 26, 41, "Input",ExpressionUUID->"e479baef-6cfa-4814-bea8-7e485d5c874f"], Cell[644514, 11016, 1611, 47, 61, "Input",ExpressionUUID->"090a6ff9-5f7a-43eb-b4ab-d74d1d2db662"], Cell[CellGroupData[{ Cell[646150, 11067, 3695, 95, 101, "Input",ExpressionUUID->"f7b3d1c9-0446-4aff-b152-c4559f8aaacd"], Cell[649848, 11164, 90128, 1657, 464, "Output",ExpressionUUID->"59445f38-e32b-4a57-8b16-6f3ff68215fb"] }, Open ]], Cell[739991, 12824, 293, 5, 44, "Text",ExpressionUUID->"37633d4a-ef6d-4b02-b125-d807d25aec95"] }, Closed]], Cell[CellGroupData[{ Cell[740321, 12834, 222, 4, 46, "Subsection",ExpressionUUID->"5980089a-4796-4e89-ad09-eb2ed79c7425"], Cell[740546, 12840, 225, 5, 44, "Text",ExpressionUUID->"953be7ff-41e4-45b1-a015-d0df66d05f83"], Cell[CellGroupData[{ Cell[740796, 12849, 1315, 37, 100, "Input",ExpressionUUID->"e10914c2-dd3a-4e3d-a7ba-72128c1b66c6"], Cell[742114, 12888, 447, 7, 42, "Output",ExpressionUUID->"fc20dc24-2f5b-4cd2-9bcf-5f2517830577"] }, Open ]], Cell[742576, 12898, 189, 3, 44, "Text",ExpressionUUID->"0aa98ec7-45ee-4f15-aaba-dd950dc870f4"], Cell[742768, 12903, 482, 14, 70, "Input",ExpressionUUID->"809c61c9-1ba6-4e7b-b63a-0ed86b799897"] }, Closed]], Cell[CellGroupData[{ Cell[743287, 12922, 170, 3, 46, "Subsection",ExpressionUUID->"420a5ce7-27cf-4527-9e92-4daed855756e"], Cell[743460, 12927, 181, 3, 44, "Text",ExpressionUUID->"557c8ba6-1d1d-4cf7-a468-5e8c31f78047"], Cell[743644, 12932, 727, 24, 67, "Input",ExpressionUUID->"4542e745-01ed-4ef4-889f-c6a0d5a4929d"], Cell[744374, 12958, 264, 6, 44, "Text",ExpressionUUID->"ffd9111f-fa01-4727-a27f-ab4f269ba6dc"], Cell[744641, 12966, 562, 18, 72, "Input",ExpressionUUID->"a36bfff4-4fe9-42b8-923d-de65e596948c"], Cell[CellGroupData[{ Cell[745228, 12988, 5412, 133, 252, "Input",ExpressionUUID->"997027d9-afe0-4319-bbe3-96bac538d02b"], Cell[750643, 13123, 100632, 1861, 452, "Output",ExpressionUUID->"acd72116-bdea-4f1b-9f9e-26c8407d320e"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[851324, 14990, 166, 3, 46, "Subsection",ExpressionUUID->"0862c07f-daa4-4812-932b-3ce330901d36"], Cell[851493, 14995, 215, 5, 44, "Text",ExpressionUUID->"1a3a041f-de38-457a-87bb-117432cae34a"], Cell[851711, 15002, 294, 8, 38, "Input",ExpressionUUID->"b51e004f-dc0f-43f7-b593-78f2b9132979"], Cell[CellGroupData[{ Cell[852030, 15014, 4009, 101, 194, "Input",ExpressionUUID->"bda7b5be-1178-40e5-a42d-56cdb2173a50"], Cell[856042, 15117, 132591, 2359, 468, "Output",ExpressionUUID->"2d60aed5-45ac-4352-94b2-563ed063b894"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[988694, 17483, 257, 4, 84, "Section",ExpressionUUID->"9f4be37b-e6e0-4921-a71b-a9f742d754e3"], Cell[CellGroupData[{ Cell[988976, 17491, 160, 3, 67, "Subsection",ExpressionUUID->"c4a8ead7-0b01-451c-930e-3ebdda71579a"], Cell[989139, 17496, 199, 4, 44, "Text",ExpressionUUID->"43ee682f-30bb-4b4e-8cf5-95bc6e56dbf4"], Cell[989341, 17502, 929, 28, 59, "Input",ExpressionUUID->"d95c5275-4764-4c06-bd04-5f4d569aa907"], Cell[990273, 17532, 1167, 37, 58, "Input",ExpressionUUID->"c21529df-2611-4475-8d6d-6fdd48f339e9"], Cell[991443, 17571, 783, 26, 40, "Input",ExpressionUUID->"5ebe9b84-c77f-456e-be78-14624dd0d391"], Cell[992229, 17599, 861, 27, 59, "Input",ExpressionUUID->"4341c551-840d-4b3a-90da-2f3ebcada409"], Cell[993093, 17628, 785, 25, 59, "Input",ExpressionUUID->"c9ad7c3d-87e2-4c67-8ebd-e78ec6a0e597"] }, Closed]], Cell[CellGroupData[{ Cell[993915, 17658, 197, 3, 46, "Subsection",ExpressionUUID->"b9942fac-b310-40fc-a252-5af154a937f3"], Cell[994115, 17663, 605, 15, 57, "Input",ExpressionUUID->"e5e46080-a532-4fe1-9b12-79ad30ce7b76"], Cell[994723, 17680, 650, 20, 54, "Input",ExpressionUUID->"b6225627-e2b5-4862-8fee-a5ea25b96f89"], Cell[995376, 17702, 980, 28, 57, "Input",ExpressionUUID->"f9e3bdb2-6a80-4fe1-a0b9-bb1078d87028"], Cell[996359, 17732, 1214, 37, 39, "Input",ExpressionUUID->"b1a83f2d-55e0-4f5e-b2de-c28734917f10"], Cell[997576, 17771, 1013, 29, 41, "Input",ExpressionUUID->"47790058-3d54-4086-948d-a404883e0cf2"], Cell[998592, 17802, 549, 14, 51, "Input",ExpressionUUID->"96037672-4cc5-4d58-b59c-d498cb67eeee"], Cell[999144, 17818, 725, 21, 51, "Input",ExpressionUUID->"e9207388-c781-435c-a3e7-d2dd7c1af9e6"], Cell[999872, 17841, 656, 19, 53, "Input",ExpressionUUID->"21121967-f922-420a-8f58-d15289c6a536"], Cell[1000531, 17862, 1024, 30, 60, "Input",ExpressionUUID->"271e0136-a935-404f-8672-a7b2270cd2af"], Cell[1001558, 17894, 482, 15, 55, "Input",ExpressionUUID->"01c7c3a6-1c6d-4d4a-9b48-30f99a9cf3db"], Cell[1002043, 17911, 1040, 33, 87, "Input",ExpressionUUID->"cd4179ae-9f5c-4029-baf1-3a429e44cc0b"], Cell[CellGroupData[{ Cell[1003108, 17948, 169, 3, 56, "Subsubsection",ExpressionUUID->"d5ff460b-3d7e-463e-8e87-adcf8aa3c4df"], Cell[1003280, 17953, 186, 3, 44, "Text",ExpressionUUID->"30f99f9e-c2ef-4d85-99b7-051a6f1d4ed0"], Cell[1003469, 17958, 2091, 51, 187, "Input",ExpressionUUID->"4af9f5f0-e6ae-4f5e-b1cf-86451b81b862", InitializationCell->True], Cell[1005563, 18011, 1981, 49, 187, "Input",ExpressionUUID->"b2cb20b3-cf66-43df-b9e4-85c66b517b43", InitializationCell->True], Cell[1007547, 18062, 260, 6, 44, "Text",ExpressionUUID->"1aac2966-d99c-46a8-8598-d9e0ccb22d52"], Cell[1007810, 18070, 3341, 83, 273, "Input",ExpressionUUID->"94db21b7-fcd6-4e0a-b9a5-6d344f8611f3", InitializationCell->True], Cell[1011154, 18155, 330, 5, 44, "Text",ExpressionUUID->"04bacc0e-7ab7-4450-b4ac-b0b10e0f7e8c"], Cell[CellGroupData[{ Cell[1011509, 18164, 2406, 60, 119, "Input",ExpressionUUID->"268b8e5a-eb2a-40c1-af3d-47e7345ef184"], Cell[1013918, 18226, 101023, 1871, 471, "Output",ExpressionUUID->"a3311dbe-77bc-4e50-8c68-84225301dd58"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[1114990, 20103, 167, 3, 45, "Subsubsection",ExpressionUUID->"64aab028-6769-4d68-8f66-0174c0ae5c5d"], Cell[1115160, 20108, 180, 3, 68, "Text",ExpressionUUID->"685f89e8-3ebd-4a92-a93a-10bd0a374974"], Cell[CellGroupData[{ Cell[1115365, 20115, 2269, 63, 185, "Input",ExpressionUUID->"513ca180-6193-499b-b046-820a3ded2d4c"], Cell[1117637, 20180, 119161, 2188, 700, "Output",ExpressionUUID->"bbeae9d4-e664-4b4d-8dec-cf4e71f98c57"] }, Open ]], Cell[1236813, 22371, 195, 3, 68, "Text",ExpressionUUID->"acef0eb6-59f8-4a4c-87a3-f3ce45fa858c"], Cell[1237011, 22376, 1080, 35, 95, "Input",ExpressionUUID->"74c0177f-05fb-4684-8eda-6933d1fbb8bc"] }, Closed]], Cell[CellGroupData[{ Cell[1238128, 22416, 163, 3, 45, "Subsubsection",ExpressionUUID->"279fd5b3-b101-4014-a2cd-a2312d797303"], Cell[1238294, 22421, 189, 3, 68, "Text",ExpressionUUID->"1cb50b86-d0d1-4d84-9129-9468853babf7"], Cell[CellGroupData[{ Cell[1238508, 22428, 2039, 56, 221, "Input",ExpressionUUID->"6be25bb8-7d9e-4ec4-ba5f-fccb3c01d363"], Cell[1240550, 22486, 142048, 2512, 692, "Output",ExpressionUUID->"75397e57-f897-4ca7-acdd-706ff9cd20b6"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[1382647, 25004, 238, 4, 45, "Subsubsection",ExpressionUUID->"4019d2a7-2eff-42eb-998c-bb5c25641bc0"], Cell[CellGroupData[{ Cell[1382910, 25012, 4644, 125, 2600, "Input",ExpressionUUID->"f53f57af-3ae0-4740-b122-7ccce7283087"], Cell[1387557, 25139, 135470, 2399, 3960, "Output",ExpressionUUID->"8fa879dd-0c88-476d-be23-26d0455a8cc8"] }, Open ]], Cell[1523042, 27541, 156, 3, 339, "Input",ExpressionUUID->"bde5b5a1-664f-4792-98d8-71c368e1a3a2"] }, Closed]], Cell[CellGroupData[{ Cell[1523235, 27549, 238, 4, 45, "Subsubsection",ExpressionUUID->"b006a78f-5c2a-4a56-8ed5-681ac1bd5cea"], Cell[CellGroupData[{ Cell[1523498, 27557, 3845, 102, 6754, "Input",ExpressionUUID->"dfff4665-dc22-4fa9-a94f-99a2ce1ada81"], Cell[1527346, 27661, 111368, 2017, 10534, "Output",ExpressionUUID->"de414289-7935-4c13-8aff-1a5987e6b958"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[1638763, 29684, 189, 3, 45, "Subsubsection",ExpressionUUID->"9391275f-419e-4780-bf5a-704aa9d9fd2c"], Cell[1638955, 29689, 195, 4, 401, "Text",ExpressionUUID->"0218b203-95a9-4fa5-b0fe-e5b617c8a5c4"], Cell[1639153, 29695, 1199, 36, 800, "Input",ExpressionUUID->"4c21cb09-8d5e-4aaa-9762-9762e69e05a7"], Cell[1640355, 29733, 334, 7, 401, "Text",ExpressionUUID->"50a1fda8-1377-4469-89b6-fac30b3f57d3"], Cell[1640692, 29742, 1306, 44, 379, "Input",ExpressionUUID->"4ec52247-b681-4bc8-9c6c-8b4ac8b2ad46"], Cell[CellGroupData[{ Cell[1642023, 29790, 1202, 37, 800, "Input",ExpressionUUID->"3799a252-a997-4e88-9f74-ac215a76eca5"], Cell[1643228, 29829, 312, 9, 382, "Output",ExpressionUUID->"dfbb54e5-83f9-4b32-b8db-a76f0c22e1c4"] }, Open ]], Cell[CellGroupData[{ Cell[1643577, 29843, 1965, 59, 379, "Input",ExpressionUUID->"81aa1813-6a49-47a4-a7eb-a5de6fa57eae"], Cell[1645545, 29904, 988, 27, 382, "Output",ExpressionUUID->"26cff213-1645-4a31-801f-14b8b972f3d6"] }, Open ]], Cell[1646548, 29934, 207, 4, 401, "Text",ExpressionUUID->"f4a27aa6-73c9-4dcf-8ee7-37aaf9296606"], Cell[1646758, 29940, 852, 26, 512, "Input",ExpressionUUID->"179f71a2-3a7d-467f-a335-5c427712a037"], Cell[CellGroupData[{ Cell[1647635, 29970, 898, 28, 501, "Input",ExpressionUUID->"0fd0c53a-40f4-4206-8782-637a03964009"], Cell[1648536, 30000, 336, 9, 382, "Output",ExpressionUUID->"700654dc-d710-4b0f-b925-1c7a02c71a5c"] }, Open ]], Cell[CellGroupData[{ Cell[1648909, 30014, 3663, 104, 909, "Input",ExpressionUUID->"e2d8831f-ff7e-47ad-acf0-58a98021c378"], Cell[1652575, 30120, 921, 26, 382, "Output",ExpressionUUID->"07bf00a1-57d9-41f5-bcc8-979850a65268"] }, Open ]], Cell[1653511, 30149, 199, 4, 401, "Text",ExpressionUUID->"0d54fa00-36e6-44e4-ad63-700a95b9378d"], Cell[1653713, 30155, 921, 28, 562, "Input",ExpressionUUID->"6d9ca4dc-3f63-4e01-85f3-7d40d87e0a7e"], Cell[CellGroupData[{ Cell[1654659, 30187, 965, 30, 562, "Input",ExpressionUUID->"200bba2b-58de-43b2-8269-7a3f6fc51691"], Cell[1655627, 30219, 334, 9, 382, "Output",ExpressionUUID->"8a16cc8e-49c1-413f-93d3-76e9d94b6f55"] }, Open ]], Cell[CellGroupData[{ Cell[1655998, 30233, 1749, 50, 379, "Input",ExpressionUUID->"698ec944-d0f2-4a5e-9a23-ed903f13e9a0"], Cell[1657750, 30285, 1024, 28, 382, "Output",ExpressionUUID->"656b5ba2-df67-4684-a95f-2c7a4fd7ec8f"] }, Open ]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[1658835, 30320, 180, 3, 46, "Subsection",ExpressionUUID->"303856df-d695-43aa-a8eb-8d8afd0855a6"], Cell[1659018, 30325, 6991, 136, 332, "Input",ExpressionUUID->"ab80b4c1-ea43-428f-9b95-a5289c2baae7", InitializationCell->True], Cell[CellGroupData[{ Cell[1666034, 30465, 4240, 100, 80, "Input",ExpressionUUID->"b43ba148-6596-4d65-98df-c1c1324eff93"], Cell[1670277, 30567, 560, 9, 29, "Print",ExpressionUUID->"6ac6122d-4de1-482b-a0b2-60f372bb7ef3"], Cell[1670840, 30578, 4030, 58, 42, "Output",ExpressionUUID->"8bd0a44f-0198-4769-92b3-c610788b005c"] }, Open ]], Cell[1674885, 30639, 298, 5, 44, "Text",ExpressionUUID->"94f4f5f2-8f48-4d6e-95eb-c0682823b89f"] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[1675232, 30650, 160, 3, 84, "Section",ExpressionUUID->"180da75d-d6da-4294-83be-eb5cb0a1711f"], Cell[CellGroupData[{ Cell[1675417, 30657, 160, 3, 67, "Subsection",ExpressionUUID->"a00b16b1-ab0c-4a1e-b569-0c62efa79adc"], Cell[1675580, 30662, 618, 18, 40, "Input",ExpressionUUID->"3acf86f8-9f34-4569-8969-b727485524ee"], Cell[1676201, 30682, 698, 22, 40, "Input",ExpressionUUID->"35c0dd23-5c05-4c69-be85-39e26f970bf2"], Cell[1676902, 30706, 420, 11, 44, "Text",ExpressionUUID->"eab1f64f-b139-4ce9-95de-d2d5fe4bae39"] }, Closed]], Cell[CellGroupData[{ Cell[1677359, 30722, 193, 3, 46, "Subsection",ExpressionUUID->"a236afb1-fee9-4e78-a9e4-6831b606a674"], Cell[CellGroupData[{ Cell[1677577, 30729, 168, 3, 56, "Subsubsection",ExpressionUUID->"024417bc-e010-451d-ae55-f0bed56a179d"], Cell[1677748, 30734, 317, 5, 44, "Text",ExpressionUUID->"f0121dc7-aa56-4e4c-8058-a1ccd25d1659"], Cell[CellGroupData[{ Cell[1678090, 30743, 646, 18, 76, "Input",ExpressionUUID->"ba093f4d-a2f9-483c-99a4-38f2629c2e17"], Cell[1678739, 30763, 664, 21, 60, "Output",ExpressionUUID->"deb587d1-9ecf-4a74-9e06-c6fe2985f68e"] }, Open ]], Cell[CellGroupData[{ Cell[1679440, 30789, 1160, 31, 56, "Input",ExpressionUUID->"e678ba71-cec9-4f03-a62f-15534828a18c"], Cell[1680603, 30822, 30295, 616, 455, "Output",ExpressionUUID->"8dd14e5f-c6f7-4b59-87b0-f2b4f70904f9"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[1710947, 31444, 168, 3, 45, "Subsubsection",ExpressionUUID->"43e9e156-6daf-4b0d-a592-349c739bfbc7"], Cell[1711118, 31449, 428, 7, 44, "Text",ExpressionUUID->"79ab1d7b-9b43-4b3d-bbaf-94749aec9d31"], Cell[CellGroupData[{ Cell[1711571, 31460, 1397, 36, 100, "Input",ExpressionUUID->"b47f43b9-e08f-4146-aca4-41feebc64ae5"], Cell[1712971, 31498, 2121, 63, 46, "Output",ExpressionUUID->"cd0e13c7-64b5-4632-9171-d6afda7c9ba3"] }, Open ]], Cell[CellGroupData[{ Cell[1715129, 31566, 1209, 33, 56, "Input",ExpressionUUID->"e21b7a77-5baf-4e2c-b6c0-9dddfab8ce49"], Cell[1716341, 31601, 46111, 919, 471, "Output",ExpressionUUID->"a8093895-8274-4865-8c1d-c07c036e90df"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[1762501, 32526, 170, 3, 45, "Subsubsection",ExpressionUUID->"6d7f18d4-ca7e-4c08-8eb7-07edba359cb6"], Cell[1762674, 32531, 363, 5, 44, "Text",ExpressionUUID->"0cf9a26d-d009-41ea-b936-ac8253b071a2"], Cell[CellGroupData[{ Cell[1763062, 32540, 955, 24, 76, "Input",ExpressionUUID->"96c573b8-4728-47be-8f86-84d20e06a734"], Cell[1764020, 32566, 922, 25, 60, "Output",ExpressionUUID->"bec4f94c-b0b4-4ce0-bd10-249e09fd9107"] }, Open ]], Cell[CellGroupData[{ Cell[1764979, 32596, 1207, 32, 56, "Input",ExpressionUUID->"807b5abe-8687-401e-8a38-fd6203dd59f5"], Cell[1766189, 32630, 30307, 616, 455, "Output",ExpressionUUID->"09777b64-c405-4ef1-bb07-6015dd038556"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[1796557, 33253, 206, 4, 67, "Subsection",ExpressionUUID->"5c156f20-0c25-4edf-a176-12c9195773f5"], Cell[CellGroupData[{ Cell[1796788, 33261, 3082, 74, 92, "Input",ExpressionUUID->"baae6a57-cad7-4552-84c9-22c1af1dda01"], Cell[1799873, 33337, 44828, 853, 484, "Output",ExpressionUUID->"80f2c3aa-fa68-4b72-bf34-6fba0153c91f"] }, Open ]], Cell[CellGroupData[{ Cell[1844738, 34195, 2603, 67, 92, "Input",ExpressionUUID->"d03a7fa2-4303-4809-a0a9-85fbe19fcf16"], Cell[1847344, 34264, 40531, 765, 503, "Output",ExpressionUUID->"ea4845b1-e61f-4704-a3db-19f042eb3d3b"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[1887936, 35036, 205, 4, 84, "Section",ExpressionUUID->"bc463980-c48e-4957-b0e2-f7eed60379bf"], Cell[CellGroupData[{ Cell[1888166, 35044, 160, 3, 67, "Subsection",ExpressionUUID->"1327d8ef-169c-473d-baa5-57b93b1ce40f"], Cell[1888329, 35049, 152, 3, 37, "Input",ExpressionUUID->"140dfe44-96a6-4d68-afa0-c925c6ebd0cb"], Cell[1888484, 35054, 871, 30, 37, "Input",ExpressionUUID->"16593550-51f7-40f1-bcf3-968eefc8cfb7"], Cell[1889358, 35086, 909, 26, 41, "Input",ExpressionUUID->"a54dfec2-13c5-4395-99a4-444f652e0d73"], Cell[1890270, 35114, 1035, 30, 61, "Input",ExpressionUUID->"ab9356f9-3b07-4988-969d-c8a4e5b4f1d2"], Cell[1891308, 35146, 1398, 45, 58, "Input",ExpressionUUID->"c3fcf9f5-be21-4465-b855-8e5084647564"], Cell[1892709, 35193, 1694, 50, 59, "Input",ExpressionUUID->"ee0ebd02-7d71-47b4-94db-ddbe40e9c375"] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[1894452, 35249, 167, 3, 84, "Section",ExpressionUUID->"8c9e7f85-86f9-4d58-8452-87ef6a061143"], Cell[CellGroupData[{ Cell[1894644, 35256, 214, 4, 67, "Subsection",ExpressionUUID->"980a7e6d-bd19-4600-b4cb-9a57b9755c59"], Cell[1894861, 35262, 3924, 103, 440, "Input",ExpressionUUID->"7f0ab1df-cb07-47ca-a7d2-742c8e63246e", InitializationCell->True], Cell[CellGroupData[{ Cell[1898810, 35369, 2155, 58, 93, "Input",ExpressionUUID->"0d8d5a1d-a624-4e5a-a88f-2a5139b32b34"], Cell[1900968, 35429, 125437, 2268, 388, "Output",ExpressionUUID->"e3e46511-b13b-4d00-8eb5-d437da28bd1c"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[2026454, 37703, 219, 4, 46, "Subsection",ExpressionUUID->"2f1de1f1-6580-44f8-88f7-1b2d3d66f1aa"], Cell[2026676, 37709, 5799, 164, 619, "Input",ExpressionUUID->"fb936d0d-0a9c-48e2-a3fa-badf662d5b20", InitializationCell->True], Cell[2032478, 37875, 789, 16, 57, "Input",ExpressionUUID->"a6c5b061-41a6-4643-b035-928a6e448a94", InitializationCell->True], Cell[CellGroupData[{ Cell[2033292, 37895, 2304, 60, 93, "Input",ExpressionUUID->"568cd414-9d19-434f-b427-e417b145bda5"], Cell[2035599, 37957, 275350, 4762, 388, "Output",ExpressionUUID->"d856ece3-bbda-4d68-b1fc-6b1d63912b77"] }, Open ]] }, Closed]] }, Open ]], Cell[CellGroupData[{ Cell[2311010, 42726, 212, 4, 84, "Section",ExpressionUUID->"2d732461-e080-475e-bf57-fed536d4f106"], Cell[CellGroupData[{ Cell[2311247, 42734, 215, 3, 67, "Subsection",ExpressionUUID->"8ddee78c-5bb4-4949-8b92-2a7aec4c33a4"], Cell[2311465, 42739, 184, 3, 44, "Text",ExpressionUUID->"8ef63c15-76ab-4b2f-b3b8-36a924df49f8"], Cell[2311652, 42744, 388, 12, 39, "Input",ExpressionUUID->"e178aa09-d4f3-49cd-b965-c7a2d8cdad36"], Cell[2312043, 42758, 169, 3, 44, "Text",ExpressionUUID->"2a3dae70-4ba6-43e0-9efb-54ae070a13dd"], Cell[2312215, 42763, 479, 15, 89, "Input",ExpressionUUID->"2d1d8bec-283f-4199-afc4-4f57bb13c89b"], Cell[2312697, 42780, 183, 3, 44, "Text",ExpressionUUID->"a9012494-a587-44cc-a026-548f13429b1c"], Cell[2312883, 42785, 727, 24, 67, "Input",ExpressionUUID->"9df146aa-8f5e-4e68-be0a-e4edf11a794a"], Cell[2313613, 42811, 264, 6, 44, "Text",ExpressionUUID->"e3f5b9bd-a23a-4c61-b878-2cc8289a4934"], Cell[2313880, 42819, 562, 18, 72, "Input",ExpressionUUID->"7f846e03-a85a-4b66-97c2-5c1eb5f423aa"] }, Closed]], Cell[CellGroupData[{ Cell[2314479, 42842, 225, 4, 46, "Subsection",ExpressionUUID->"824703b8-61e0-4c51-b95f-74bfca7fbbd5"], Cell[2314707, 42848, 494, 12, 40, "Input",ExpressionUUID->"a274a7e8-4f8a-4495-91ca-0335d2cbd62c"], Cell[2315204, 42862, 760, 22, 40, "Input",ExpressionUUID->"52e27f75-079b-4136-ad42-15df8825aad3"], Cell[2315967, 42886, 1341, 38, 67, "Input",ExpressionUUID->"9502801f-a70d-4615-beca-24e2a5866944"], Cell[2317311, 42926, 1640, 49, 76, "Input",ExpressionUUID->"f6b2f29a-73a7-48c2-bb0c-8d5348e0c4e6"], Cell[2318954, 42977, 4763, 149, 207, "Input",ExpressionUUID->"e0bb891c-b197-476d-9f41-a18ebddee1ff"], Cell[2323720, 43128, 619, 15, 73, "Text",ExpressionUUID->"ab2d1fe7-1655-425b-8575-aa43ab7378cb"], Cell[CellGroupData[{ Cell[2324364, 43147, 10500, 263, 382, "Input",ExpressionUUID->"f40d7644-8746-4fa3-8415-a7d69e2ce758"], Cell[2334867, 43412, 15188, 285, 476, "Output",ExpressionUUID->"d463315c-9f13-4df8-b210-ee9c5b43e6b2"] }, Open ]], Cell[2350070, 43700, 12521, 307, 447, "Input",ExpressionUUID->"5636393a-75a9-41e0-9fe9-4d7ddc283dbe"], Cell[2362594, 44009, 259, 5, 44, "Text",ExpressionUUID->"09a173da-a547-4578-8e93-c039fc11a09c"] }, Closed]] }, Open ]], Cell[2362880, 44018, 147, 3, 84, "Section",ExpressionUUID->"201fd9e1-9505-4edd-96dc-e4f52fbb9f32"], Cell[CellGroupData[{ Cell[2363052, 44025, 182, 3, 65, "Section",ExpressionUUID->"22ad422b-1c63-4387-b39b-ae28fdf5346e"], Cell[CellGroupData[{ Cell[2363259, 44032, 307, 5, 56, "Subsubsection",ExpressionUUID->"5fbde334-5dd4-47a9-b95d-b2f04b2d880e"], Cell[2363569, 44039, 478, 14, 69, "Input",ExpressionUUID->"8aa04527-2f73-4dfe-b2d3-6c34d4af00f6"], Cell[2364050, 44055, 1459, 48, 53, "Input",ExpressionUUID->"fcab0c08-ff08-4b4c-a4eb-9305129ad892"], Cell[CellGroupData[{ Cell[2365534, 44107, 3040, 80, 124, "Input",ExpressionUUID->"eb9b0f47-3089-4da1-9f88-992578a6b1fa"], Cell[2368577, 44189, 461, 10, 58, "Output",ExpressionUUID->"7cd33377-380f-4b1c-857e-0f6a4046c590"] }, Open ]], Cell[CellGroupData[{ Cell[2369075, 44204, 3307, 87, 151, "Input",ExpressionUUID->"0defd66f-3f47-41dd-8d2f-bbb3c6762027"], Cell[2372385, 44293, 345, 7, 42, "Output",ExpressionUUID->"4621985e-b072-49be-8a5f-d83ef42dd8df"] }, Open ]], Cell[CellGroupData[{ Cell[2372767, 44305, 3372, 90, 151, "Input",ExpressionUUID->"9f34b4a2-2485-4ed3-b53b-9adef8e6be08"], Cell[2376142, 44397, 639, 18, 82, "Output",ExpressionUUID->"efaac885-6125-41ad-b449-5c1ee6dc5b2b"] }, Open ]], Cell[CellGroupData[{ Cell[2376818, 44420, 3726, 101, 185, "Input",ExpressionUUID->"cf94ef6e-f3e0-4d14-a88d-c0e09e0c6011"], Cell[2380547, 44523, 578, 17, 59, "Output",ExpressionUUID->"173a1938-20db-4134-aa13-2dacdf69c15f"] }, Open ]], Cell[CellGroupData[{ Cell[2381162, 44545, 4183, 113, 185, "Input",ExpressionUUID->"29ab293e-a86f-4d8f-a46a-edee4caf787f"], Cell[2385348, 44660, 839, 25, 82, "Output",ExpressionUUID->"837f6493-c57a-481a-b89d-2b714a9753b6"] }, Open ]], Cell[CellGroupData[{ Cell[2386224, 44690, 4820, 132, 219, "Input",ExpressionUUID->"8893a596-0b1e-4ee0-99fd-14c102caf2c4"], Cell[2391047, 44824, 609, 19, 46, "Output",ExpressionUUID->"97cd80ff-fabd-4b4a-9dd8-f67eef2daac0"] }, Open ]], Cell[CellGroupData[{ Cell[2391693, 44848, 5329, 146, 219, "Input",ExpressionUUID->"30cb09ee-2c3f-4111-9bd8-1b5ba8a6b078"], Cell[2397025, 44996, 971, 29, 82, "Output",ExpressionUUID->"16be732e-4dd7-4f65-898c-0fef0566634f"] }, Open ]], Cell[CellGroupData[{ Cell[2398033, 45030, 6262, 171, 219, "Input",ExpressionUUID->"9c0814d5-79e2-4445-9700-585c40388f34"], Cell[2404298, 45203, 781, 24, 46, "Output",ExpressionUUID->"4c6ba3ec-deba-48a0-af28-bc531a79add3"] }, Open ]], Cell[2405094, 45230, 1665, 58, 41, "Input",ExpressionUUID->"9fd86964-f39e-4e97-8987-420ae1052b24"], Cell[CellGroupData[{ Cell[2406784, 45292, 6971, 190, 219, "Input",ExpressionUUID->"08260735-d204-4d21-b1d6-2b355bf1355e"], Cell[2413758, 45484, 1241, 35, 82, "Output",ExpressionUUID->"83409988-f161-4e7c-b9f3-fed9f35ea06e"] }, Open ]], Cell[2415014, 45522, 4435, 142, 158, "Input",ExpressionUUID->"b11707bf-4667-46d7-8fe1-a32880fe044f"], Cell[2419452, 45666, 5098, 154, 158, "Input",ExpressionUUID->"961a4c58-2765-4201-a425-f8fd7bd0a747"], Cell[CellGroupData[{ Cell[2424575, 45824, 3731, 107, 107, "Input",ExpressionUUID->"bb9770ca-a634-48fc-8766-3a0ba572819e"], Cell[2428309, 45933, 3544, 110, 106, "Output",ExpressionUUID->"8726a488-4cc6-46e9-ba80-d0ebfa3a633d"] }, Open ]], Cell[CellGroupData[{ Cell[2431890, 46048, 465, 12, 69, "Input",ExpressionUUID->"695e4dee-056a-42db-a9b8-370aa0ad1595"], Cell[2432358, 46062, 3513, 114, 115, "Output",ExpressionUUID->"36b91705-495e-48b7-bc24-2453358f018e"] }, Open ]], Cell[CellGroupData[{ Cell[2435908, 46181, 4048, 99, 219, "Input",ExpressionUUID->"13d78832-7413-4773-a443-a1a8bfaef30b"], Cell[2439959, 46282, 87122, 1531, 364, "Output",ExpressionUUID->"bad64102-49e4-4124-a54c-ead6ae18fea1"] }, Open ]], Cell[CellGroupData[{ Cell[2527118, 47818, 3442, 88, 219, "Input",ExpressionUUID->"865e2d14-0653-47d1-93d0-3d966a0ecae9"], Cell[2530563, 47908, 85024, 1501, 418, "Output",ExpressionUUID->"0c3cce7b-7ad4-44d0-a745-e9b441020b79"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[2615636, 49415, 334, 5, 45, "Subsubsection",ExpressionUUID->"d51784c9-b964-4791-8d84-9071b2152cad"], Cell[2615973, 49422, 683, 18, 69, "Input",ExpressionUUID->"e6f818a8-12e2-4335-b3f6-eb9371d173ee"], Cell[2616659, 49442, 1459, 48, 53, "Input",ExpressionUUID->"15a8f8ae-f983-4f82-9999-23df6f4cac5a"], Cell[CellGroupData[{ Cell[2618143, 49494, 1689, 53, 51, "Input",ExpressionUUID->"a1ae75af-5d12-4c6a-b65d-9dd855958594"], Cell[2619835, 49549, 1575, 50, 54, "Output",ExpressionUUID->"cb3e8067-3af2-4965-b17a-8e03e03cbdf8"] }, Open ]], Cell[CellGroupData[{ Cell[2621447, 49604, 3177, 83, 153, "Input",ExpressionUUID->"13750e84-2f47-4ac5-9b9a-9f92308866bd"], Cell[2624627, 49689, 958, 27, 73, "Output",ExpressionUUID->"799d10fa-dcd9-43cf-8cf5-8fa4dd55dce5"] }, Open ]], Cell[CellGroupData[{ Cell[2625622, 49721, 3354, 87, 175, "Input",ExpressionUUID->"284a7afb-7d52-4ed1-8061-78cb1fa54834"], Cell[2628979, 49810, 487, 9, 42, "Output",ExpressionUUID->"697817c2-1cb5-4da3-8a5b-a4b3ff332e95"] }, Open ]], Cell[CellGroupData[{ Cell[2629503, 49824, 3585, 93, 175, "Input",ExpressionUUID->"9e16a9e3-dc3a-4ae7-a93a-623f6a58f8a6"], Cell[2633091, 49919, 913, 26, 95, "Output",ExpressionUUID->"fd28437b-4989-4a67-8ff6-4d1c05abf9ec"] }, Open ]], Cell[CellGroupData[{ Cell[2634041, 49950, 4049, 110, 203, "Input",ExpressionUUID->"73d5a561-4504-4f8b-a6b2-382333b749c1"], Cell[2638093, 50062, 374, 8, 42, "Output",ExpressionUUID->"05a85ce7-3b3b-478a-b1fd-e3682f0baeab"] }, Open ]], Cell[CellGroupData[{ Cell[2638504, 50075, 4201, 113, 238, "Input",ExpressionUUID->"83f30656-9612-4c1e-b5c3-c9f9136988a4"], Cell[2642708, 50190, 1341, 40, 95, "Output",ExpressionUUID->"6323ca38-b931-4350-bba5-73b078619630"] }, Open ]], Cell[CellGroupData[{ Cell[2644086, 50235, 5362, 145, 238, "Input",ExpressionUUID->"d88e7b3b-c224-4809-84c6-df4b10158f80"], Cell[2649451, 50382, 250, 6, 42, "Output",ExpressionUUID->"084c2821-a874-4e5a-b494-29027d5fa693"] }, Open ]], Cell[CellGroupData[{ Cell[2649738, 50393, 5329, 146, 219, "Input",ExpressionUUID->"802062f2-8860-4d4f-8b05-7212b3cd0cc8"], Cell[2655070, 50541, 971, 29, 82, "Output",ExpressionUUID->"35f7bc39-6102-47fa-9018-5c53120fd411"] }, Open ]], Cell[CellGroupData[{ Cell[2656078, 50575, 6262, 171, 219, "Input",ExpressionUUID->"deae5109-cbc1-4174-848a-d1765ebc13df"], Cell[2662343, 50748, 781, 24, 46, "Output",ExpressionUUID->"cc33bf8c-ba0c-4ab7-bee8-88554857502f"] }, Open ]], Cell[2663139, 50775, 1665, 58, 41, "Input",ExpressionUUID->"127e6c10-46ff-4618-a51a-6701b26315b7"], Cell[CellGroupData[{ Cell[2664829, 50837, 6971, 190, 219, "Input",ExpressionUUID->"e76a113c-3c55-467b-96b4-dbfd6b19b1df"], Cell[2671803, 51029, 1241, 35, 82, "Output",ExpressionUUID->"f473cdd7-9453-4bca-af61-1d33a1f84b70"] }, Open ]], Cell[2673059, 51067, 4435, 142, 158, "Input",ExpressionUUID->"3951dd02-4142-4bd2-9bb3-d8e93a3b6391"], Cell[2677497, 51211, 5098, 154, 158, "Input",ExpressionUUID->"c72a366a-2f39-401f-8da6-2fdca6bb1b52"], Cell[CellGroupData[{ Cell[2682620, 51369, 3731, 107, 107, "Input",ExpressionUUID->"00a05152-7cca-4e39-a644-d6cd860a1506"], Cell[2686354, 51478, 3544, 110, 106, "Output",ExpressionUUID->"b113fc37-77c5-4f9b-8b4a-18accb40a762"] }, Open ]], Cell[CellGroupData[{ Cell[2689935, 51593, 465, 12, 69, "Input",ExpressionUUID->"ae13deed-cd58-450c-b33f-da2e0d4ae89b"], Cell[2690403, 51607, 3513, 114, 115, "Output",ExpressionUUID->"b9aec710-6974-4be4-a83f-9d9071b74f18"] }, Open ]], Cell[CellGroupData[{ Cell[2693953, 51726, 4048, 99, 219, "Input",ExpressionUUID->"cb3e279d-7cc3-4f38-92d1-cbfaf9cae77c"], Cell[2698004, 51827, 87122, 1531, 364, "Output",ExpressionUUID->"63ea1fe0-760e-4fd3-91c9-fe0edac5b441"] }, Open ]], Cell[CellGroupData[{ Cell[2785163, 53363, 3442, 88, 219, "Input",ExpressionUUID->"4ecc5377-a364-4161-8180-3b280a2dd9f1"], Cell[2788608, 53453, 85024, 1501, 418, "Output",ExpressionUUID->"e364ac39-b73b-4c0c-89e8-e5e310c1890f"] }, Open ]] }, Closed]] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[2873705, 54962, 243, 4, 89, "Title",ExpressionUUID->"54454a89-2c8d-4ddf-98d9-8412b172378c"], Cell[2873951, 54968, 605, 15, 57, "Input",ExpressionUUID->"0780168d-693c-47d0-bff4-dd0bd1ff0c0b"], Cell[2874559, 54985, 650, 20, 54, "Input",ExpressionUUID->"957faca2-2398-47c9-bb03-6053968fb684"], Cell[2875212, 55007, 980, 28, 57, "Input",ExpressionUUID->"12fd4d04-5d0a-40d8-b533-dbe466c2101b"], Cell[2876195, 55037, 1214, 37, 39, "Input",ExpressionUUID->"491932cf-5df4-4c5d-90d1-e7e7984e47c2"], Cell[2877412, 55076, 1013, 29, 41, "Input",ExpressionUUID->"2a6911eb-a8ba-4552-98c1-548452180c06"], Cell[2878428, 55107, 549, 14, 51, "Input",ExpressionUUID->"98f5b336-8037-48d3-8869-17ecdcb7022e"], Cell[2878980, 55123, 656, 19, 53, "Input",ExpressionUUID->"56eb8e62-587a-4a96-a2e8-8921cb6868c8"], Cell[2879639, 55144, 725, 21, 51, "Input",ExpressionUUID->"0cccfbcc-0c89-44cb-9fb6-0fa02b5de69e"], Cell[CellGroupData[{ Cell[2880389, 55169, 221, 4, 84, "Section",ExpressionUUID->"c6c951b2-6dbf-4587-bcd8-d50a1c2fcf35"], Cell[2880613, 55175, 977, 28, 87, "Input",ExpressionUUID->"21d9de25-b0db-4f50-86c5-9d5c83945bbd"], Cell[CellGroupData[{ Cell[2881615, 55207, 1405, 35, 90, "Input",ExpressionUUID->"65d055cd-99ee-4f1c-b46a-11f49be48b85"], Cell[2883023, 55244, 6035, 151, 147, "Output",ExpressionUUID->"2159faae-7d81-471c-8fe0-de79ff306d10"] }, Open ]], Cell[CellGroupData[{ Cell[2889095, 55400, 1027, 28, 90, "Input",ExpressionUUID->"9d038f75-ded6-4da4-b473-a9988db83c39"], Cell[2890125, 55430, 6118, 192, 195, "Output",ExpressionUUID->"a1472abb-da2d-4e4e-acab-444dd5b34f17"] }, Open ]], Cell[CellGroupData[{ Cell[2896280, 55627, 6975, 147, 519, "Input",ExpressionUUID->"b720e1ad-c893-4e83-b33d-2ff0521eee60"], Cell[2903258, 55776, 187566, 3186, 478, "Output",ExpressionUUID->"5ba3e55f-4f61-4c18-8d02-473f36b9068f"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[3090873, 58968, 230, 4, 65, "Section",ExpressionUUID->"8e46ec45-1cee-44ac-b2cd-b1840387e7c7"], Cell[3091106, 58974, 876, 26, 61, "Input",ExpressionUUID->"47d0fcd0-2291-407b-91dd-3b63b965f056"], Cell[CellGroupData[{ Cell[3092007, 59004, 1677, 39, 90, "Input",ExpressionUUID->"4ed89e32-1e98-4e9d-a6a8-bedf7a7f8d84"], Cell[3093687, 59045, 5792, 145, 147, "Output",ExpressionUUID->"85129868-2e24-4ec5-881f-783f76ebb2a3"] }, Open ]], Cell[CellGroupData[{ Cell[3099516, 59195, 6575, 126, 393, "Input",ExpressionUUID->"128c88d3-cf4e-4c6e-a5bc-a6b11016fe20"], Cell[3106094, 59323, 351425, 5884, 478, "Output",ExpressionUUID->"7768c230-8e27-4f80-b050-095d135f9316"] }, Open ]], Cell[CellGroupData[{ Cell[3457556, 65212, 605, 12, 37, "Input",ExpressionUUID->"5dd200c9-8576-4bb1-9ead-711e9df276ca"], Cell[3458164, 65226, 11344, 278, 155, "Output",ExpressionUUID->"c0c7b3a5-0f8a-4202-94c2-e80936352f50"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[3469557, 65510, 234, 4, 65, "Section",ExpressionUUID->"2a884fa6-b0b4-4c7c-b720-15880681a355"], Cell[3469794, 65516, 246, 6, 44, "Text",ExpressionUUID->"693015be-a910-4ea6-9619-85dcf087e76b"], Cell[3470043, 65524, 968, 26, 39, "Input",ExpressionUUID->"028d484c-db46-4015-8458-8c8ace5ad7be"], Cell[3471014, 65552, 786, 20, 76, "Input",ExpressionUUID->"c678be2d-804a-4acc-99b0-de50424c85b9"], Cell[3471803, 65574, 258, 6, 44, "Text",ExpressionUUID->"9206cb06-9437-43fc-a835-5791e46adedf"], Cell[3472064, 65582, 925, 27, 40, "Input",ExpressionUUID->"a9aac6cc-ca05-4d64-babe-91420ab98f6d"], Cell[CellGroupData[{ Cell[3473014, 65613, 2252, 63, 93, "Input",ExpressionUUID->"e79ceedf-732c-4e34-8fe4-426dcc35cfb5"], Cell[3475269, 65678, 952, 24, 47, "Output",ExpressionUUID->"42cc8be3-30a2-4fb4-b443-14f46342ad72"], Cell[3476224, 65704, 1040, 27, 47, "Output",ExpressionUUID->"b3f2899d-1e7e-4dae-abf8-6a4e8f4146c4"] }, Open ]], Cell[CellGroupData[{ Cell[3477301, 65736, 1146, 33, 70, "Input",ExpressionUUID->"cdde2f73-f556-4227-908a-bb4a5f469559"], Cell[3478450, 65771, 860, 25, 59, "Output",ExpressionUUID->"b9e0f9f2-dcc4-472d-8ea5-a1b09b281547"], Cell[3479313, 65798, 1388, 43, 47, "Output",ExpressionUUID->"5c5a57ca-23cd-49b4-8574-01d78094d0e1"] }, Open ]], Cell[CellGroupData[{ Cell[3480738, 65846, 1886, 57, 92, "Input",ExpressionUUID->"7379f121-1df1-432f-8e4b-af6c226c3c25"], Cell[3482627, 65905, 870, 25, 59, "Output",ExpressionUUID->"85937eb2-1bb9-4f5e-b9e9-1cff49e699f2"], Cell[3483500, 65932, 807, 23, 44, "Output",ExpressionUUID->"cf01f6fa-be95-462f-aa57-8d3b6d4b252e"] }, Open ]], Cell[CellGroupData[{ Cell[3484344, 65960, 2392, 69, 103, "Input",ExpressionUUID->"393269bc-bd73-45ab-80c5-ceb9e07007f2"], Cell[3486739, 66031, 514, 12, 42, "Output",ExpressionUUID->"a6ca555d-1cf7-4efc-9e3b-56c986aedf9e"], Cell[3487256, 66045, 515, 12, 42, "Output",ExpressionUUID->"9c917fcf-4cb3-4275-bde3-32bce3caf787"] }, Open ]], Cell[CellGroupData[{ Cell[3487808, 66062, 2047, 55, 92, "Input",ExpressionUUID->"0b296406-def5-4295-9b09-805345385cc1"], Cell[3489858, 66119, 2568, 65, 69, "Output",ExpressionUUID->"9c14db69-ac0e-4f65-a417-2db08dda7c32"] }, Open ]], Cell[CellGroupData[{ Cell[3492463, 66189, 3772, 87, 460, "Input",ExpressionUUID->"2f6f533b-d037-45aa-91af-162901d9b70c"], Cell[3496238, 66278, 126165, 2185, 458, "Output",ExpressionUUID->"3b99ee28-8c1f-4ea1-be3b-cf235cdddbe9"] }, Open ]], Cell[CellGroupData[{ Cell[3622440, 68468, 1374, 42, 109, "Input",ExpressionUUID->"2ca6f794-25d0-4963-9928-90b0d7432079"], Cell[3623817, 68512, 786, 23, 59, "Output",ExpressionUUID->"a10fdc11-cc14-4674-aabf-c4ae3066c201"], Cell[3624606, 68537, 1624, 52, 92, "Output",ExpressionUUID->"83843267-3f32-4589-ad6a-041fbe0584d0"], Cell[3626233, 68591, 182, 3, 42, "Output",ExpressionUUID->"35c9293f-0dee-4c85-aed5-efd2de8e464e"] }, Open ]], Cell[CellGroupData[{ Cell[3626452, 68599, 170, 3, 67, "Subsection",ExpressionUUID->"9376d2f0-32a6-4da2-85ad-73fb9f0a7514"], Cell[CellGroupData[{ Cell[3626647, 68606, 1885, 55, 97, "Input",ExpressionUUID->"9ab596fd-6938-4e90-adc7-0b55096b0879"], Cell[3628535, 68663, 735, 23, 60, "Output",ExpressionUUID->"e10434b2-0b95-4f46-b5d7-7dad0b230c29"], Cell[3629273, 68688, 767, 22, 61, "Output",ExpressionUUID->"1e8c9885-acfa-4bb3-bb84-87efd6309706"], Cell[3630043, 68712, 875, 25, 61, "Output",ExpressionUUID->"680be03c-25a1-4e69-9965-40e8716a4ac4"] }, Open ]], Cell[CellGroupData[{ Cell[3630955, 68742, 1191, 34, 57, "Input",ExpressionUUID->"2850b64c-b05a-4557-a337-081edc81b07a"], Cell[3632149, 68778, 340, 8, 42, "Output",ExpressionUUID->"08df942c-acd8-46b2-a274-a9f6ec004724"] }, Open ]], Cell[CellGroupData[{ Cell[3632526, 68791, 407, 11, 40, "Input",ExpressionUUID->"43d37ca7-133d-40a3-b103-35a124ae1e58"], Cell[3632936, 68804, 329, 8, 42, "Output",ExpressionUUID->"a74635f6-149b-4bfa-ac23-8c7146f331c4"] }, Open ]], Cell[3633280, 68815, 1741, 54, 97, "Input",ExpressionUUID->"1b414770-56dd-4b7d-a741-92fa704bbdf0"], Cell[CellGroupData[{ Cell[3635046, 68873, 2435, 66, 149, "Input",ExpressionUUID->"750caf5b-ce73-4484-8823-7006b87e4da9"], Cell[3637484, 68941, 1395, 42, 97, "Output",ExpressionUUID->"703ff140-c39e-43b5-b2c0-5ea117768048"], Cell[3638882, 68985, 1281, 37, 93, "Output",ExpressionUUID->"f2774bc1-6b85-4c20-b022-c2afb1e85a6c"], Cell[3640166, 69024, 1021, 25, 47, "Output",ExpressionUUID->"46d0bf27-0273-413e-be66-3586e4c2e6a7"] }, Open ]], Cell[CellGroupData[{ Cell[3641224, 69054, 3464, 99, 159, "Input",ExpressionUUID->"d5c9734c-e330-43b0-b7de-ce79cefddd1a"], Cell[3644691, 69155, 851, 23, 62, "Output",ExpressionUUID->"c637adac-bf6b-4fb3-bcbf-fd7fbe64c5f1"], Cell[3645545, 69180, 953, 26, 101, "Output",ExpressionUUID->"f586235f-cee6-48bf-81a2-385e01e95159"], Cell[3646501, 69208, 1052, 27, 47, "Output",ExpressionUUID->"3b8e70b3-b594-4b53-baaf-14b2f97ea8ed"] }, Open ]], Cell[CellGroupData[{ Cell[3647590, 69240, 407, 11, 40, "Input",ExpressionUUID->"c4c8eb47-d7bf-4d7a-9f7c-d1e24a1a3500"], Cell[3648000, 69253, 329, 8, 42, "Output",ExpressionUUID->"f5f0c1cf-8ff9-4019-b5f7-4464b4712ff5"] }, Open ]], Cell[CellGroupData[{ Cell[3648366, 69266, 1740, 45, 116, "Input",ExpressionUUID->"3e9eec7f-5001-4f5c-a93b-fb72ae906f22"], Cell[3650109, 69313, 5971, 148, 147, "Output",ExpressionUUID->"7d32ddff-a276-4ab9-8286-a064b4787da9"] }, Open ]], Cell[CellGroupData[{ Cell[3656117, 69466, 7462, 175, 442, "Input",ExpressionUUID->"49f61b9d-5609-40fe-a637-283298280434"], Cell[3663582, 69643, 370160, 6334, 478, "Output",ExpressionUUID->"2e03b5a5-5f07-449c-a9dd-ef116a2d44c1"] }, Open ]], Cell[CellGroupData[{ Cell[4033779, 75982, 673, 23, 84, "Input",ExpressionUUID->"d5a29181-6189-48b7-aec6-e63b16eb648a"], Cell[4034455, 76007, 589, 19, 76, "Output",ExpressionUUID->"1c15bc66-d866-4789-8f76-b80c777d3614"] }, Open ]], Cell[CellGroupData[{ Cell[4035081, 76031, 454, 15, 84, "Input",ExpressionUUID->"5316aac5-4fd9-4320-89d7-71765868d254"], Cell[4035538, 76048, 174, 3, 42, "Output",ExpressionUUID->"ebc895ab-fadb-4985-a32e-8fe64e5e51a3"] }, Open ]], Cell[4035727, 76054, 507, 19, 84, "Input",ExpressionUUID->"62140f06-94ea-453f-8e7c-40045eaf15d0"], Cell[CellGroupData[{ Cell[4036259, 76077, 623, 20, 46, "Input",ExpressionUUID->"338ca9ff-fca1-4d88-8f79-92470a3d71f5"], Cell[4036885, 76099, 528, 16, 44, "Output",ExpressionUUID->"859a8204-bf35-49aa-a37e-36c9e0d53642"] }, Open ]], Cell[CellGroupData[{ Cell[4037450, 76120, 428, 13, 40, "Input",ExpressionUUID->"fe63d5f3-bb86-48c8-b824-ad1330eae32f"], Cell[4037881, 76135, 2529, 92, 70, "Output",ExpressionUUID->"7e8f62cf-6a68-49fe-80cf-8effe9c9fb63"] }, Open ]], Cell[CellGroupData[{ Cell[4040447, 76232, 768, 23, 46, "Input",ExpressionUUID->"6f466741-f511-4081-9a04-9a2dd60fcc5d"], Cell[4041218, 76257, 704, 25, 70, "Output",ExpressionUUID->"1b2f4423-1b16-46e8-aee8-a7f6d08683e7"] }, Open ]], Cell[CellGroupData[{ Cell[4041959, 76287, 1588, 44, 71, "Input",ExpressionUUID->"e488845a-7957-4e46-ba65-20ac373a4bf2"], Cell[4043550, 76333, 1173, 35, 76, "Output",ExpressionUUID->"a5220683-1227-4444-8df6-f4c8e00fbfdc"] }, Open ]], Cell[CellGroupData[{ Cell[4044760, 76373, 1338, 38, 41, "Input",ExpressionUUID->"57f5972b-e964-4d0c-a21b-a8b95aef209a"], Cell[4046101, 76413, 1508, 36, 42, "Output",ExpressionUUID->"e935e104-a629-4e83-a349-206999d05dde"] }, Open ]], Cell[CellGroupData[{ Cell[4047646, 76454, 178, 4, 37, "Input",ExpressionUUID->"ec4dc4c4-ce1b-4a01-bc01-4e855b843196"], Cell[4047827, 76460, 2466, 58, 298, "Output",ExpressionUUID->"af8d6f41-aa72-4ca8-8828-01f86c631c73"] }, Open ]], Cell[CellGroupData[{ Cell[4050330, 76523, 986, 33, 70, "Input",ExpressionUUID->"0e274ecd-7be2-4c5f-a446-15ef62349302"], Cell[4051319, 76558, 6765, 197, 104, "Output",ExpressionUUID->"47c435ec-7727-426f-a512-1e2aa72963e9"] }, Open ]], Cell[4058099, 76758, 903, 31, 77, "Input",ExpressionUUID->"32554c2d-fb03-4463-8608-b256f3b2f7b4"], Cell[4059005, 76791, 706, 25, 84, "Input",ExpressionUUID->"ef317173-a93c-4515-888b-355e6c153567"], Cell[CellGroupData[{ Cell[4059736, 76820, 952, 28, 100, "Input",ExpressionUUID->"c193faf0-94d0-4cd1-9eda-1bd600a0e769"], Cell[4060691, 76850, 483, 15, 47, "Output",ExpressionUUID->"cd3d21c6-2a42-425f-b2e5-160086740462"], Cell[4061177, 76867, 751, 26, 70, "Output",ExpressionUUID->"800d6aeb-7c13-45b5-b7b7-81652fa8cbf0"], Cell[4061931, 76895, 1377, 49, 78, "Output",ExpressionUUID->"ac116342-cd9d-4dfb-b07d-b3de0a85ae72"] }, Open ]], Cell[CellGroupData[{ Cell[4063345, 76949, 975, 30, 46, "Input",ExpressionUUID->"f277dfe0-f680-4763-a97e-19a93db5f220"], Cell[4064323, 76981, 1620, 54, 85, "Output",ExpressionUUID->"74342588-c622-4cfb-827a-10d844565241"] }, Open ]], Cell[CellGroupData[{ Cell[4065980, 77040, 1630, 55, 87, "Input",ExpressionUUID->"af9ece52-2500-49fb-9df7-883bcfdce94a"], Cell[4067613, 77097, 184, 3, 42, "Output",ExpressionUUID->"be226551-d155-492c-bf44-cf108ab0cd41"] }, Open ]], Cell[CellGroupData[{ Cell[4067834, 77105, 688, 23, 65, "Input",ExpressionUUID->"99d196b2-3d3c-4a9e-96ed-113f822e9319"], Cell[4068525, 77130, 852, 29, 72, "Output",ExpressionUUID->"ecc8b661-e581-49d9-a5dc-db2baae562ba"] }, Open ]], Cell[CellGroupData[{ Cell[4069414, 77164, 1169, 32, 46, "Input",ExpressionUUID->"0a7f6615-5565-4dcc-a13f-9fc3468c4587"], Cell[4070586, 77198, 7007, 201, 104, "Output",ExpressionUUID->"8ea8bf40-635f-489e-b13b-64c91af70974"] }, Open ]], Cell[CellGroupData[{ Cell[4077630, 77404, 1186, 34, 46, "Input",ExpressionUUID->"864182ee-48c8-4d12-a5f4-5709700f5227"], Cell[4078819, 77440, 1052, 33, 76, "Output",ExpressionUUID->"4ea179ab-7c92-4ce2-b7a2-b22b96779953"] }, Open ]], Cell[CellGroupData[{ Cell[4079908, 77478, 1693, 50, 81, "Input",ExpressionUUID->"5540ae46-0bbd-42b2-a8c9-71e8a5d30686"], Cell[4081604, 77530, 607, 17, 60, "Output",ExpressionUUID->"b39d9bca-5afe-442e-9c5e-d66fc2cca67e"], Cell[4082214, 77549, 444, 10, 42, "Output",ExpressionUUID->"1fbb8fb2-a6d6-4ba9-8fb1-1a3123cada33"] }, Open ]], Cell[CellGroupData[{ Cell[4082695, 77564, 554, 17, 46, "Input",ExpressionUUID->"d3408dfa-badf-407d-8d06-f45bbaf922b9"], Cell[4083252, 77583, 679, 20, 46, "Output",ExpressionUUID->"f8bd486f-dede-4d40-b045-8de69b30d6db"] }, Open ]], Cell[CellGroupData[{ Cell[4083968, 77608, 766, 25, 84, "Input",ExpressionUUID->"581c7571-3220-471d-82da-c23f349e02c2"], Cell[4084737, 77635, 177, 3, 42, "Output",ExpressionUUID->"9acf7527-3abb-4db8-8032-4fabe60cb32b"] }, Open ]], Cell[CellGroupData[{ Cell[4084951, 77643, 1592, 51, 108, "Input",ExpressionUUID->"ea26d5a0-682a-48df-a56f-0698612b8381"], Cell[4086546, 77696, 210, 4, 42, "Output",ExpressionUUID->"4e41670a-6d68-4704-8a18-a0b7374e0b24"], Cell[4086759, 77702, 303, 8, 42, "Output",ExpressionUUID->"085108c4-5f1e-40f2-83f7-dc47f1d6b736"] }, Open ]], Cell[CellGroupData[{ Cell[4087099, 77715, 721, 21, 84, "Input",ExpressionUUID->"89a71f0e-76ad-4f3c-919e-53b40ee13d59"], Cell[4087823, 77738, 479, 14, 69, "Output",ExpressionUUID->"4f8d6ecc-d897-4c7e-bff0-075656fb8af8"] }, Open ]], Cell[CellGroupData[{ Cell[4088339, 77757, 530, 16, 46, "Input",ExpressionUUID->"ac1bc10d-88c9-4fec-a2c2-62908db81bff"], Cell[4088872, 77775, 6485, 127, 288, "Output",ExpressionUUID->"d3f38375-f85b-4080-973e-b8ce9133c3e9"] }, Open ]], Cell[CellGroupData[{ Cell[4095394, 77907, 1479, 41, 137, "Input",ExpressionUUID->"1b4bb8b5-2c72-47ea-851a-9dba5bb2318c"], Cell[4096876, 77950, 477, 10, 47, "Output",ExpressionUUID->"0f0e457b-4757-4090-b7a5-28ca381bf332"] }, Open ]], Cell[CellGroupData[{ Cell[4097390, 77965, 306, 8, 63, "Input",ExpressionUUID->"220433e9-a8c5-4fe0-abe4-660f4ac4e8ed"], Cell[4097699, 77975, 272, 8, 59, "Output",ExpressionUUID->"bac8c52d-463c-4a54-9ff0-ed1b9231cb0b"] }, Open ]], Cell[4097986, 77986, 507, 19, 84, "Input",ExpressionUUID->"f5920e24-f04b-467c-b842-4557bfaff1b5"], Cell[CellGroupData[{ Cell[4098518, 78009, 853, 23, 95, "Input",ExpressionUUID->"7cd1cbf8-a21b-46b7-a622-10951106a0c5"], Cell[4099374, 78034, 980, 32, 71, "Output",ExpressionUUID->"37fe6722-4907-4f6c-b528-01e97a3dd3e0"] }, Open ]], Cell[CellGroupData[{ Cell[4100391, 78071, 1662, 42, 87, "Input",ExpressionUUID->"bdd2ece0-4de2-4782-b12e-f65ea62c1065"], Cell[4102056, 78115, 1220, 28, 71, "Output",ExpressionUUID->"199e32fe-dab8-41b7-9d4b-b0e71d5e96c3"] }, Open ]], Cell[CellGroupData[{ Cell[4103313, 78148, 618, 20, 69, "Input",ExpressionUUID->"b67024a0-d370-493f-8f08-f8f5cfe0af3e"], Cell[4103934, 78170, 560, 21, 71, "Output",ExpressionUUID->"2eeb3489-629f-4103-a9d5-a63ac2cd5db5"] }, Open ]], Cell[CellGroupData[{ Cell[4104531, 78196, 877, 30, 84, "Input",ExpressionUUID->"90bb66f1-7e68-46c6-bee3-cab494058510"], Cell[4105411, 78228, 466, 17, 76, "Output",ExpressionUUID->"bb037751-9959-4322-86cb-53c0b882a286"] }, Open ]], Cell[CellGroupData[{ Cell[4105914, 78250, 540, 17, 46, "Input",ExpressionUUID->"f0d09489-40ed-4c87-bd70-57d5df59aa3e"], Cell[4106457, 78269, 1063, 31, 61, "Output",ExpressionUUID->"40be8bdd-e42e-4838-a300-86df1453828c"] }, Open ]], Cell[CellGroupData[{ Cell[4107557, 78305, 330, 9, 57, "Input",ExpressionUUID->"1be0986b-ab83-4b90-9569-d68fe7cd907c"], Cell[4107890, 78316, 250, 7, 42, "Output",ExpressionUUID->"a0105835-1d2f-4c30-bd85-ef33614a878b"] }, Open ]], Cell[4108155, 78326, 115, 1, 37, "Input",ExpressionUUID->"1b780b0a-caa3-4379-9d69-3a1e6d2af6e2"], Cell[CellGroupData[{ Cell[4108295, 78331, 226, 5, 37, "Input",ExpressionUUID->"c4529749-e823-4228-b422-c4983b67d7ef"], Cell[4108524, 78338, 355, 12, 66, "Output",ExpressionUUID->"7885a11b-1cb5-49f0-9c6d-e98e3646b66e"] }, Open ]], Cell[CellGroupData[{ Cell[4108916, 78355, 1257, 40, 95, "Input",ExpressionUUID->"7b3bfc94-3551-4d09-a12c-23bfbf12c0d3"], Cell[4110176, 78397, 859, 27, 76, "Output",ExpressionUUID->"322ab48d-88ba-468a-b8f5-55478395e062"] }, Open ]], Cell[CellGroupData[{ Cell[4111072, 78429, 2451, 81, 76, "Input",ExpressionUUID->"9c4266d1-5234-417b-b2a7-0d0b23912c6d"], Cell[4113526, 78512, 2410, 78, 93, "Output",ExpressionUUID->"68396fca-2c69-4578-ae4a-ae7c3369b3fb"] }, Open ]], Cell[CellGroupData[{ Cell[4115973, 78595, 890, 29, 51, "Input",ExpressionUUID->"b497e088-ec28-4370-80b4-0daf66830f10"], Cell[4116866, 78626, 688, 22, 71, "Output",ExpressionUUID->"f849a289-6709-4ce3-b519-a38b1ec0daa9"] }, Open ]], Cell[4117569, 78651, 679, 24, 57, "Input",ExpressionUUID->"0568fde1-7a1c-4c43-b64a-1870dda13331"], Cell[CellGroupData[{ Cell[4118273, 78679, 1766, 61, 73, "Input",ExpressionUUID->"aea5cbae-d4ea-4176-8056-88fe7d970278"], Cell[4120042, 78742, 1021, 37, 71, "Output",ExpressionUUID->"8caa85c8-068a-46f2-8f59-c3fca43f6f62"] }, Open ]], Cell[CellGroupData[{ Cell[4121100, 78784, 647, 20, 88, "Input",ExpressionUUID->"48bb5e3b-7698-4792-b841-ba76f682e588"], Cell[4121750, 78806, 196, 4, 42, "Output",ExpressionUUID->"eb7a9e2c-b796-4690-a70a-96ff7738ef3d"] }, Open ]], Cell[CellGroupData[{ Cell[4121983, 78815, 376, 12, 46, "Input",ExpressionUUID->"ce2b9246-2c58-44ab-8ef8-c4ac72249bd2"], Cell[4122362, 78829, 339, 11, 65, "Output",ExpressionUUID->"1c07b2e7-e56a-4655-a8df-005e1053db95"] }, Open ]], Cell[CellGroupData[{ Cell[4122738, 78845, 328, 10, 46, "Input",ExpressionUUID->"9f08302b-de48-447b-889b-8eccca1ead36"], Cell[4123069, 78857, 190, 4, 42, "Output",ExpressionUUID->"30115af6-039e-47c1-865c-b3bd38b84ce5"] }, Open ]], Cell[CellGroupData[{ Cell[4123296, 78866, 412, 12, 46, "Input",ExpressionUUID->"acdc3120-7cd2-4be1-a025-db48db84fbd8"], Cell[4123711, 78880, 1373, 42, 61, "Output",ExpressionUUID->"696a4516-4677-4403-8d89-b6fcd177c4a6"] }, Open ]], Cell[CellGroupData[{ Cell[4125121, 78927, 692, 20, 46, "Input",ExpressionUUID->"463cce86-9881-484a-ad42-5536c18f254f"], Cell[4125816, 78949, 1172, 35, 59, "Output",ExpressionUUID->"03382504-961c-4cc9-8aed-0a014a540882"] }, Open ]], Cell[4127003, 78987, 999, 31, 56, "Input",ExpressionUUID->"70da6a63-e49c-4bcb-b525-318e84bebfa4"], Cell[CellGroupData[{ Cell[4128027, 79022, 1105, 34, 87, "Input",ExpressionUUID->"b5c79f3e-2db8-422b-8355-88f0e94f5baa"], Cell[4129135, 79058, 616, 19, 58, "Output",ExpressionUUID->"205915b1-1ed6-4032-8a13-fcae014ec638"] }, Open ]], Cell[CellGroupData[{ Cell[4129788, 79082, 1782, 57, 173, "Input",ExpressionUUID->"3d48881a-6348-422c-a531-174bbe6d4cd9"], Cell[4131573, 79141, 505, 15, 76, "Output",ExpressionUUID->"be300c02-45a6-4327-b798-101cd7fe9357"], Cell[4132081, 79158, 346, 10, 61, "Output",ExpressionUUID->"cf771962-12bf-4a20-92e9-071352ff10dd"] }, Open ]], Cell[4132442, 79171, 412, 13, 73, "Input",ExpressionUUID->"66161722-4cc0-488e-8a50-d58cc12d7fb6"], Cell[4132857, 79186, 176, 4, 37, "Input",ExpressionUUID->"af723c0f-20e9-4738-b67e-3c687014e15c"], Cell[CellGroupData[{ Cell[4133058, 79194, 614, 17, 58, "Input",ExpressionUUID->"0fe4e8f1-8656-4973-8449-67de46de2675"], Cell[4133675, 79213, 4820, 98, 293, "Output",ExpressionUUID->"9ffec83b-d0f8-423f-a1e2-ae43ef4e1d2b"] }, Open ]], Cell[4138510, 79314, 2368, 64, 81, "Input",ExpressionUUID->"3079dade-4212-4852-ae2e-a66f9705c255"], Cell[4140881, 79380, 1700, 51, 41, "Input",ExpressionUUID->"47098eaa-c301-497b-b033-5a7d8a32dcbc"], Cell[4142584, 79433, 591, 14, 37, "Input",ExpressionUUID->"5ee6ce72-ef44-4e03-bc52-4c70b4bc001b"], Cell[CellGroupData[{ Cell[4143200, 79451, 596, 15, 37, "Input",ExpressionUUID->"bbd51da8-3e19-45cf-9e35-f657c5c0f246"], Cell[4143799, 79468, 390, 5, 42, "Output",ExpressionUUID->"c05e0271-9a11-4a60-b06e-8a53f9b4578b"] }, Open ]], Cell[CellGroupData[{ Cell[4144226, 79478, 417, 8, 37, "Input",ExpressionUUID->"21f0cbc8-757a-47b7-8eba-b91d42a2eccb"], Cell[4144646, 79488, 1322, 32, 42, "Output",ExpressionUUID->"9ebf38b7-42bb-4c18-8900-1374ed6075e6"] }, Open ]], Cell[CellGroupData[{ Cell[4146005, 79525, 579, 15, 37, "Input",ExpressionUUID->"dbd86984-b154-440f-baaf-9dec9e028893"], Cell[4146587, 79542, 1220, 31, 42, "Output",ExpressionUUID->"8652c11a-3eda-4fd2-a291-f7fcf254f84b"] }, Open ]], Cell[CellGroupData[{ Cell[4147844, 79578, 312, 7, 37, "Input",ExpressionUUID->"d5567f4c-535b-4bca-bed7-fde3f430be9a"], Cell[4148159, 79587, 165, 3, 42, "Output",ExpressionUUID->"7b0bd822-395c-4044-a842-551412d893fe"] }, Open ]], Cell[4148339, 79593, 128, 3, 37, "Input",ExpressionUUID->"4cfff343-bf56-4574-9844-7b63b34027fa"], Cell[CellGroupData[{ Cell[4148492, 79600, 300, 6, 37, "Input",ExpressionUUID->"e29a9593-075b-41af-93c3-58e72e12f6b4"], Cell[4148795, 79608, 1779, 52, 46, "Output",ExpressionUUID->"aec9885d-6c9a-45f4-8d31-063fb57b5dad"] }, Open ]], Cell[CellGroupData[{ Cell[4150611, 79665, 917, 26, 46, "Input",ExpressionUUID->"a9e1165e-ea73-471a-afe0-3a84e1232b54"], Cell[4151531, 79693, 177, 2, 42, "Output",ExpressionUUID->"958485bb-951b-4482-a938-f224b921020d"] }, Open ]], Cell[CellGroupData[{ Cell[4151745, 79700, 1332, 36, 83, "Input",ExpressionUUID->"3df0cd8e-7ba8-4531-8fe7-2d29ae372127"], Cell[4153080, 79738, 593, 17, 42, "Output",ExpressionUUID->"3dfc2c77-e5bb-4f67-b27d-419ab9e57a6c"] }, Open ]], Cell[CellGroupData[{ Cell[4153710, 79760, 825, 14, 37, "Input",ExpressionUUID->"dc644195-e9ad-41a5-b086-7ed1f2b37bf9"], Cell[4154538, 79776, 997, 28, 829, "Output",ExpressionUUID->"e0bdb352-1e77-4290-9645-c811b5f572e3"] }, Open ]], Cell[4155550, 79807, 713, 20, 37, "Input",ExpressionUUID->"4865a237-ef93-4783-aead-69d82a6d8af1"], Cell[CellGroupData[{ Cell[4156288, 79831, 671, 14, 40, "Input",ExpressionUUID->"c7b8fdea-8583-478d-be12-78036f368150"], Cell[4156962, 79847, 669, 13, 42, "Output",ExpressionUUID->"52dfe59a-f65f-4f83-9b10-b89ab24d5da8"] }, Open ]], Cell[CellGroupData[{ Cell[4157668, 79865, 1339, 39, 127, "Input",ExpressionUUID->"d6befea5-edd3-4a4c-a262-c461a1809b1d"], Cell[4159010, 79906, 1113, 26, 42, "Output",ExpressionUUID->"030b0933-0c61-4f3e-8df7-7c22766d3e8f"], Cell[4160126, 79934, 1008, 23, 42, "Output",ExpressionUUID->"9b51bc86-44cd-4bff-9dea-ef533f7d8eab"], Cell[4161137, 79959, 905, 20, 42, "Output",ExpressionUUID->"17f5ebd7-c3c1-4b27-bfe2-971d0c3c7137"], Cell[4162045, 79981, 831, 19, 42, "Output",ExpressionUUID->"dbe18b9b-9644-437c-8dc1-5d84490bcb0b"] }, Open ]], Cell[CellGroupData[{ Cell[4162913, 80005, 749, 23, 41, "Input",ExpressionUUID->"6da217c3-be12-4aac-b6a6-9a483285b02f"], Cell[4163665, 80030, 1617, 51, 63, "Output",ExpressionUUID->"6c80b8bf-c8f4-4e8f-8960-0f7574dccd92"] }, Open ]], Cell[CellGroupData[{ Cell[4165319, 80086, 1469, 42, 41, "Input",ExpressionUUID->"6c8e6feb-f184-4467-93cf-b867476110e9"], Cell[4166791, 80130, 190, 3, 42, "Output",ExpressionUUID->"1439c8a1-d279-41bf-933d-49d1554bd64c"] }, Open ]], Cell[CellGroupData[{ Cell[4167018, 80138, 1780, 53, 55, "Input",ExpressionUUID->"83b87e30-a54f-4a86-9434-07541284cc2f"], Cell[4168801, 80193, 432, 7, 42, "Output",ExpressionUUID->"c699681a-7408-4f25-b637-7a3f764c7371"] }, Open ]], Cell[CellGroupData[{ Cell[4169270, 80205, 602, 17, 41, "Input",ExpressionUUID->"eec8d853-025d-45f9-9d74-d509511b7377"], Cell[4169875, 80224, 5076, 170, 193, "Output",ExpressionUUID->"8d3e1778-b488-4a34-9fb4-515a7499454c"] }, Open ]], Cell[CellGroupData[{ Cell[4174988, 80399, 1063, 33, 87, "Input",ExpressionUUID->"c76b6a7a-70f4-40fa-a1f2-1f854dfe6c23"], Cell[4176054, 80434, 616, 19, 61, "Output",ExpressionUUID->"5c2c80b4-64a0-4298-bbc9-0e8fd7f6f7eb"] }, Open ]], Cell[4176685, 80456, 1316, 44, 87, "Input",ExpressionUUID->"7222bf2c-99a8-48c5-a253-94a761d6d205"], Cell[CellGroupData[{ Cell[4178026, 80504, 698, 22, 57, "Input",ExpressionUUID->"21289cbb-d33a-423c-8324-5de1e3653ad6"], Cell[4178727, 80528, 196, 4, 42, "Output",ExpressionUUID->"1dd7c7da-19e3-4861-9c1f-a62900eeb174"] }, Open ]], Cell[CellGroupData[{ Cell[4178960, 80537, 741, 22, 57, "Input",ExpressionUUID->"8a64287a-7458-4b8c-ad58-d65854a5b228"], Cell[4179704, 80561, 948, 23, 42, "Output",ExpressionUUID->"e8a5d5a3-ea35-4e73-8da9-79c568f43648"] }, Open ]], Cell[4180667, 80587, 571, 18, 57, "Input",ExpressionUUID->"bcd94a8a-7897-48bd-9455-37da54478ae6"], Cell[CellGroupData[{ Cell[4181263, 80609, 491, 14, 69, "Input",ExpressionUUID->"a36f76f4-68fa-4561-8df8-bd6e20b1c0be"], Cell[4181757, 80625, 1488, 46, 69, "Output",ExpressionUUID->"cad5e6d7-39d7-4da0-9fd5-9f1cb1c28674"], Cell[4183248, 80673, 1292, 41, 59, "Output",ExpressionUUID->"75d68554-6b55-41f1-b121-347b315c9ee0"] }, Open ]] }, Closed]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[4184613, 80722, 298, 4, 89, "Title",ExpressionUUID->"e75b218f-09df-4601-b6e9-d148180ea962"], Cell[CellGroupData[{ Cell[4184936, 80730, 2834, 82, 100, "Input",ExpressionUUID->"079743cb-f4a2-4c2f-9984-e349fe4c91c8"], Cell[4187773, 80814, 153, 2, 42, "Output",ExpressionUUID->"fc82173d-e151-413c-a17e-191b4cb744b7"] }, Open ]], Cell[4187941, 80819, 1160, 20, 188, "Text",ExpressionUUID->"cc6381b1-d269-4739-acd6-022b42dd72b2"], Cell[CellGroupData[{ Cell[4189126, 80843, 1997, 48, 100, "Input",ExpressionUUID->"bdc80fef-6fc8-4f09-8b2e-f6d88347d013"], Cell[4191126, 80893, 2229, 64, 46, "Output",ExpressionUUID->"f463f8f7-a5fa-4b1a-8e5b-a8ea5823670a"] }, Open ]], Cell[CellGroupData[{ Cell[4193392, 80962, 2566, 63, 202, "Input",ExpressionUUID->"fd945fd1-c085-43ab-9601-e5ba3dd810b1"], Cell[4195961, 81027, 55181, 1087, 467, "Output",ExpressionUUID->"2b7d2849-241d-4bc6-9d31-5dcbb0a7634a"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[4251191, 82120, 338, 5, 89, "Title",ExpressionUUID->"13ed8a0b-1929-4952-9c55-170bbabc1ee8"], Cell[CellGroupData[{ Cell[4251554, 82129, 1615, 38, 100, "Input",ExpressionUUID->"80cc617b-8d43-4deb-9582-eb0c7abc5a76"], Cell[4253172, 82169, 2362, 66, 75, "Output",ExpressionUUID->"b675e011-9ce9-4975-a90f-73d304abf7f2"] }, Open ]], Cell[CellGroupData[{ Cell[4255571, 82240, 4963, 122, 324, "Input",ExpressionUUID->"559e131a-77c2-4494-8cbe-6e8c5470d5bf"], Cell[4260537, 82364, 70026, 1171, 617, "Output",ExpressionUUID->"a66c16b9-7055-4d96-ae38-ece1104a9a96"] }, Open ]], Cell[CellGroupData[{ Cell[4330600, 83540, 2012, 46, 90, "Input",ExpressionUUID->"3f73bcc6-5be3-4025-8ba7-9ad4a12991b9"], Cell[4332615, 83588, 30805, 645, 471, "Output",ExpressionUUID->"a5514e63-27e4-463e-a62a-f18bad20fa96"] }, Open ]] }, Closed]] } ] *)