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https://github.com/triqs/dft_tools
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API change for tail fitters
python fit_tail, replace_by_tail ==> fit_tail_depr, replace_by_tail_depr c++ set_tail_from_fit ==> fit_tail
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@ -6,9 +6,9 @@ API
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The tail of a given ``gf<imfreq>/gf<block_index, gf<imfreq>> gw`` can be fitted using the two following functions:
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``void set_tail_from_fit(gf<imfreq> &gf, tail_view known_moments, int n_moments, size_t n_min, size_t n_max, bool replace_by_fit = false);``
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``void fit_tail(gf<imfreq> &gf, tail_view known_moments, int n_moments, size_t n_min, size_t n_max, bool replace_by_fit = false);``
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``void set_tail_from_fit(gf<block_index, gf<imfreq>> &block_gf, tail_view known_moments, int n_moments, size_t n_min, size_t n_max, bool replace_by_fit = false);``
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``void fit_tail(gf<block_index, gf<imfreq>> &block_gf, tail_view known_moments, int n_moments, size_t n_min, size_t n_max, bool replace_by_fit = false);``
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where
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@ -33,7 +33,7 @@ where
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Example
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~~~~~~~~
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.. triqs_example:: ./set_tail_from_fit_0.cpp
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.. triqs_example:: ./fit_tail_0.cpp
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Implementation
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~~~~~~~~~~~~~~~
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@ -28,11 +28,11 @@ In TRIQS, the tail is implemented as an object ``tail``. Here is a simple exampl
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Fitting the tail of a Green's function
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---------------------------------------
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Given an imaginary-frequency Green's function, one can compute the moments of its high-frequency tail with the function ``set_tail_from_fit``:
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Given an imaginary-frequency Green's function, one can compute the moments of its high-frequency tail with the function ``fit_tail``:
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.. triqs_example:: ./tail_1.cpp
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The full documentation of ``set_tail_from_fit`` is :doc:`here<set_tail_from_fit>`.
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The full documentation of ``fit_tail`` is :doc:`here<fit_tail>`.
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API
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****
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@ -16,8 +16,7 @@ int main() {
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int order_min = 1; // means that the first moment in the final tail will be the first moment
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auto known_moments = local::tail(make_shape(1, 1), size, order_min); // length is 0, first moment to fit is order_min
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known_moments(1) = 1.; // set the first moment
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set_tail_from_fit(gw, known_moments, n_moments, n_min, n_max,
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true); // true replace the gf data in the fitting range by the tail values
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fit_tail(gw, known_moments, n_moments, n_min, n_max, true); // true replace the gf data in the fitting range by the tail values
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std::cout << gw.singularity() << std::endl;
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}
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@ -16,7 +16,7 @@ int main() {
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auto known_moments = local::tail(make_shape(1, 1), size, order_min); // length is 0, first moment to fit is order_min
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known_moments(1) = 1.; // set the first moment
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set_tail_from_fit(gw, known_moments, n_moments, n_min, n_max, true);
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fit_tail(gw, known_moments, n_moments, n_min, n_max, true);
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std::cout << gw.singularity() << std::endl;
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}
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@ -41,13 +41,13 @@ def plot(self, opt_dict):
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#-------------- OTHER OPERATIONS -----------------------------------------------------
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def replace_by_tail(self,start) :
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def replace_by_tail_depr(self,start) :
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d = self.data
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t = self.tail
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for n, om in enumerate(self.mesh) :
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if n >= start : d[n,:,:] = t(om)
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def fit_tail(self, fixed_coef, order_max, fit_start, fit_stop, replace_tail = True):
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def fit_tail_depr(self, fixed_coef, order_max, fit_start, fit_stop, replace_tail = True):
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"""
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Fit the tail of the Green's function
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Input:
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@ -109,4 +109,4 @@ def fit_tail(self, fixed_coef, order_max, fit_start, fit_stop, replace_tail = Tr
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self.tail[len(known_coef[n1][n2])+order-1][n1,n2] = numpy.array([[ moment ]])
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self.tail.mask.fill(order_max)
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# Replace then end of the Green's function by the tail
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if replace_tail: self.replace_by_tail(ninit);
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if replace_tail: self.replace_by_tail_depr(ninit);
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@ -369,14 +369,14 @@ g.add_method(name = "set_from_legendre",
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calling_pattern = "self_c = legendre_to_imfreq(*gl)",
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doc = """Fills self with the legendre transform of gl""")
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g.add_method(name = "set_tail_from_fit",
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g.add_method(name = "fit_tail",
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signature = "void(tail_view known_moments, int n_moments, int n_min, int n_max, bool replace_by_fit = true)",
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calling_pattern = "set_tail_from_fit(self_c, known_moments, n_moments, n_min, n_max, replace_by_fit)",
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calling_pattern = "fit_tail(self_c, known_moments, n_moments, n_min, n_max, replace_by_fit)",
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doc = """Set the tail by fitting""")
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# Pure python methods
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g.add_pure_python_method("pytriqs.gf.local._gf_imfreq.replace_by_tail")
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g.add_pure_python_method("pytriqs.gf.local._gf_imfreq.fit_tail")
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g.add_pure_python_method("pytriqs.gf.local._gf_imfreq.replace_by_tail_depr")
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g.add_pure_python_method("pytriqs.gf.local._gf_imfreq.fit_tail_depr")
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# For legacy Python code : authorize g + Matrix
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#g.number_protocol['add'].add_overload(calling_pattern = "+", signature = "gf<imfreq>(gf<imfreq> x,matrix<std:complex<double>> y)")
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@ -39,8 +39,8 @@ void test_0(){
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int n_moments=3; //number of moments in the final tail (including known ones)
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//restore tail
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set_tail_from_fit(gw, known_moments, n_moments, wn_min, wn_max);
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set_tail_from_fit(gw_s, known_moments, n_moments, wn_min, wn_max);
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fit_tail(gw, known_moments, n_moments, wn_min, wn_max);
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fit_tail(gw_s, known_moments, n_moments, wn_min, wn_max);
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TEST(gw.singularity());
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TEST(gw_s.singularity());
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@ -60,7 +60,7 @@ void test_0(){
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order_min=1; //means that the first moment in the final tail will be the first moment
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known_moments = tail(make_shape(1,1), size, order_min); //length is 0, first moment to fit is order_min
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known_moments(1)=1.;//set the first moment
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set_tail_from_fit(gw, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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fit_tail(gw, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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TEST(gw.singularity());
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/*
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@ -90,8 +90,8 @@ void test_1(){
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int order_min=1; //means that the first moment in the final tail will be the first moment
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auto known_moments = tail(make_shape(1,1), size, order_min); //length is 0, first moment to fit is order_min
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known_moments(1)=1.;//set the first moment
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set_tail_from_fit(gw, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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set_tail_from_fit(gw_b, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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fit_tail(gw, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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fit_tail(gw_b, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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TEST(gw.singularity());
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TEST(gw_b.singularity());
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}
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@ -112,7 +112,7 @@ void test_2(){
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int order_min=1; //means that the first moment in the final tail will be the first moment
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auto known_moments = tail(make_shape(1,1), size, order_min); //length is 0, first moment to fit is order_min
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known_moments(1)=1.;//set the first moment
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set_tail_from_fit(gw, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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fit_tail(gw, known_moments, n_moments, wn_min, wn_max, true);//true replace the gf data in the fitting range by the tail values
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TEST(gw.singularity());
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}
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@ -85,7 +85,7 @@ namespace triqs { namespace gfs { namespace local {
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return res; // return tail
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}
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void set_tail_from_fit(gf_view<imfreq> gf, tail_view known_moments, int n_moments, int n_min, int n_max,
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void fit_tail(gf_view<imfreq> gf, tail_view known_moments, int n_moments, int n_min, int n_max,
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bool replace_by_fit ) {
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if (get_target_shape(gf) != known_moments.shape()) TRIQS_RUNTIME_ERROR << "shape of tail does not match shape of gf";
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gf.singularity() = fit_tail_impl(gf, known_moments, n_moments, n_min, n_max);
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@ -98,15 +98,15 @@ namespace triqs { namespace gfs { namespace local {
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}
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}
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void set_tail_from_fit(gf_view<block_index, gf<imfreq>> block_gf, tail_view known_moments, int n_moments, int n_min,
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void fit_tail(gf_view<block_index, gf<imfreq>> block_gf, tail_view known_moments, int n_moments, int n_min,
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int n_max, bool replace_by_fit ) {
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// for(auto &gf : block_gf) set_tail_from_fit(gf, known_moments, n_moments, n_min, n_max, replace_by_fit);
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// for(auto &gf : block_gf) fit_tail(gf, known_moments, n_moments, n_min, n_max, replace_by_fit);
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for (int i = 0; i < block_gf.mesh().size(); i++)
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set_tail_from_fit(block_gf[i], known_moments, n_moments, n_min, n_max, replace_by_fit);
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fit_tail(block_gf[i], known_moments, n_moments, n_min, n_max, replace_by_fit);
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}
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void set_tail_from_fit(gf_view<imfreq, scalar_valued> gf, tail_view known_moments, int n_moments, int n_min, int n_max, bool replace_by_fit ) {
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set_tail_from_fit(reinterpret_scalar_valued_gf_as_matrix_valued(gf), known_moments, n_moments, n_min, n_max, replace_by_fit );
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void fit_tail(gf_view<imfreq, scalar_valued> gf, tail_view known_moments, int n_moments, int n_min, int n_max, bool replace_by_fit ) {
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fit_tail(reinterpret_scalar_valued_gf_as_matrix_valued(gf), known_moments, n_moments, n_min, n_max, replace_by_fit );
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}
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}}} // namespace
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@ -48,11 +48,11 @@ namespace triqs { namespace gfs { namespace local {
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tail fit_tail_impl(gf_view<imfreq> gf, const tail_view known_moments, int n_moments, int n_min, int n_max) ;
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void set_tail_from_fit(gf_view<imfreq> gf, tail_view known_moments, int n_moments, int n_min, int n_max,
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void fit_tail(gf_view<imfreq> gf, tail_view known_moments, int n_moments, int n_min, int n_max,
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bool replace_by_fit = false) ;
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void set_tail_from_fit(gf_view<block_index, gf<imfreq>> block_gf, tail_view known_moments, int n_moments, int n_min,
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void fit_tail(gf_view<block_index, gf<imfreq>> block_gf, tail_view known_moments, int n_moments, int n_min,
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int n_max, bool replace_by_fit = false) ;
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void set_tail_from_fit(gf_view<imfreq, scalar_valued> gf, tail_view known_moments, int n_moments, int n_min, int n_max, bool replace_by_fit = false) ;
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void fit_tail(gf_view<imfreq, scalar_valued> gf, tail_view known_moments, int n_moments, int n_min, int n_max, bool replace_by_fit = false) ;
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}}} // namespace
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