gf: add a few functions in C++

triqs/arrays/python/numpy_extractor.hpp

@@ -106,7 +106,10 @@ namespace triqs { namespace arrays { namespace numpy_interface  {
 
    // do several checks
    if (!numpy_obj) {// The convertion of X to a numpy has failed !
-    if (PyErr_Occurred()) {PyErr_Print();PyErr_Clear();}
+    if (PyErr_Occurred()) {
+     //PyErr_Print();
+     PyErr_Clear();
+    }
     TRIQS_RUNTIME_ERROR<<"numpy interface : the python object  is not convertible to a numpy. ";
    }
    assert (PyArray_Check(numpy_obj)); assert((numpy_obj->ob_refcnt==1) || ((numpy_obj ==X)));

triqs/gfs/gf.hpp

@@ -28,11 +28,16 @@
 #include <vector>
 #include "./tools.hpp"
 #include "./data_proxies.hpp"
+#include "./local/tail.hpp"
 
 namespace triqs {
 namespace gfs {
  using utility::factory;
  using arrays::make_shape;
+ using arrays::array;
+ using arrays::array_view;
+ using arrays::matrix;
+ using arrays::matrix_view;
  using triqs::make_clone;
 
  // the gf mesh
@@ -424,8 +429,8 @@ namespace gfs {
 
   using target_shape_t = typename factory::target_shape_t;
 
-  gf(typename B::mesh_t m, target_shape_t shape = target_shape_t{}, typename B::indices_t const &ind = typename B::indices_t{})
+  gf(typename B::mesh_t m, target_shape_t shape = target_shape_t{}, typename B::indices_t const &ind = typename B::indices_t{}, std::string name = "")
-     : B(std::move(m), factory::make_data(m, shape), factory::make_singularity(m, shape), typename B::symmetry_t{}, ind, {}, // clean unncessary types
+     : B(std::move(m), factory::make_data(m, shape), factory::make_singularity(m, shape), typename B::symmetry_t{}, ind, name, // clean unncessary types
          typename B::evaluator_t{}) {}
 
   friend void swap(gf &a, gf &b) noexcept { a.swap_impl(b); }
@@ -647,6 +652,91 @@ namespace gfs {
     g.singularity(), g.symmetry());
     }*/
 
+ // ---------------------------------- some functions : invert, conjugate, transpose, ... ------------------------------------
+
+ //  ---- inversion 
+ // auxiliary function : invert the data : one function for all matrix valued gf (save code).
+ template <typename A3> void _gf_invert_data_in_place(A3 && a) {
+  for (int i = 0; i < first_dim(a); ++i) {// Rely on the ordering 
+   auto v = a(i, arrays::range(), arrays::range());
+   v = inverse(v);
+  }
+ }
+
+ template <typename Variable, typename Opt>
+ void invert_in_place(gf_view<Variable, matrix_valued, Opt> g) {
+  _gf_invert_data_in_place(g.data());
+  g.singularity() = inverse(g.singularity()); 
+ }
+
+ template <typename Variable, typename Opt> gf<Variable, matrix_valued, Opt> inverse(gf_view<Variable, matrix_valued, Opt> g) {
+  auto res = gf<Variable, matrix_valued, Opt>(g);
+  invert_in_place(res);
+  return res;
+ }
+
+ //  ---- transpose : a new view
+/*
+ template <typename Variable, typename Opt>
+ gf_view<Variable, matrix_valued, Opt> invert_in_place(gf_view<Variable, matrix_valued, Opt> g) {
+  return { g.mesh(), transpose( g.data(), xxxx),  transpose(g.singularity()), g.symmetry(), g.indices() XXX, g.name};
+ }
+*/
+
+ //  ---- conjugate : always a new function -> changelog 
+
+ template <typename Variable, typename Opt> gf<Variable, matrix_valued, Opt> conj(gf_view<Variable, matrix_valued, Opt> g) {
+  return {g.mesh(), conj(g.data()), conj(g.singularity()), g.symmetry(), g.indices(), g.name};
+ }
+
+ //  ---- matrix mult R and L
+
+ template <typename A3, typename T> void _gf_data_mul_R(A3 &&a, matrix<T> const &r) {
+  for (int i = 0; i < first_dim(a); ++i) { // Rely on the ordering
+   matrix_view<T> v = a(i, arrays::range(), arrays::range());
+   v = v * r;
+  }
+ }
+
+ template <typename A3, typename T> void _gf_data_mul_L(matrix<T> const &l, A3 &&a) {
+  for (int i = 0; i < first_dim(a); ++i) { // Rely on the ordering
+   matrix_view<T>  v = a(i, arrays::range(), arrays::range());
+   v = l * v;
+  }
+ }
+
+ template <typename A3, typename T> typename A3::regular_type _gf_data_mul_LR(matrix<T> const &l, A3 &a, matrix<T> const &r) {
+  auto res = typename A3::regular_type(first_dim(a), first_dim(l), second_dim(r));
+  for (int i = 0; i < first_dim(a); ++i) { // Rely on the ordering
+   auto _ = arrays::range{};
+   res(i, _, _) = l * make_matrix_view(a(i, _, _))* r;
+  }
+  return res;
+ }
+
+ template <typename Variable, typename Opt, typename T>
+ gf<Variable, matrix_valued, Opt> operator*(gf<Variable, matrix_valued, Opt> g, matrix<T> r) {
+  _gf_data_mul_R(g.data(), r);
+  g.singularity() = g.singularity() * r;
+  return g;
+ }
+
+ template <typename Variable, typename Opt, typename T>
+ gf<Variable, matrix_valued, Opt> operator*(matrix<T> l, gf<Variable, matrix_valued, Opt> g) {
+  _gf_data_mul_L(l, g.data());
+  g.singularity() = l * g.singularity();
+  return g;
+ }
+
+ template <typename Variable, typename Opt, typename T>
+ gf<Variable, matrix_valued, Opt> L_G_R(matrix<T> l, gf<Variable, matrix_valued, Opt> g, matrix<T> r) {
+  auto res = gf<Variable, matrix_valued, Opt>{g.mesh(), {first_dim(l), second_dim(r)}};
+  res.data() = _gf_data_mul_LR(l, g.data(), r);
+  res.singularity() = l * g.singularity() * r;
+  return res;
+ }
+
+
  namespace gfs_implementation { // implement some default traits
 
   // -------------------------  default factories ---------------------

triqs/gfs/local/tail.hpp

@@ -31,7 +31,9 @@ namespace triqs { namespace gfs { namespace local {
     static constexpr double small = 1.e-10;
   }
 
-  namespace tqa= triqs::arrays; namespace tql= triqs::clef;  namespace mpl= boost::mpl;
+  using arrays::matrix_view;
+  using arrays::matrix;
+  namespace tqa= triqs::arrays; //namespace tql= triqs::clef;  namespace mpl= boost::mpl;
   typedef std::complex<double> dcomplex;
 
   class tail;                            // the value class
@@ -40,7 +42,6 @@ namespace triqs { namespace gfs { namespace local {
   template<typename G> struct LocalTail  : mpl::false_{};  // a boolean trait to identify the objects modelling the concept LocalTail
   template<> struct LocalTail<tail >     : mpl::true_{};
   template<> struct LocalTail<tail_view >: mpl::true_{};
-  template<> struct LocalTail<python_tools::cython_proxy<tail_view>>: mpl::true_{};
 
   // a trait to find the scalar of the algebra i.e. the true scalar and the matrix ...
   template <typename T> struct is_scalar_or_element : mpl::or_< tqa::ImmutableMatrix<T>, utility::is_in_ZRC<T> > {};
@@ -80,8 +81,6 @@ namespace triqs { namespace gfs { namespace local {
 
       typedef tqa::mini_vector<size_t,2> shape_type;
       shape_type shape() const { return shape_type(_data.shape()[1], _data.shape()[2]);}
-      size_t shape(int i) const { return _data.shape()[i];}
-
       bool is_decreasing_at_infinity() const { return (smallest_nonzero() >=1);}
 
     protected:
@@ -231,6 +230,7 @@ namespace triqs { namespace gfs { namespace local {
     typedef tqa::mini_vector<size_t,2> shape_type;
     tail(size_t N1, size_t N2, size_t size_=10, long order_min=-1): B(N1,N2,size_,order_min) {}
     tail(shape_type const & sh, size_t size_=10, long order_min=-1): B(sh[0],sh[1],size_,order_min) {}
+    tail(B::data_type const &d, B::mask_type const &m, long order_min): B(d, m, order_min) {}
     tail(tail const & g): B(g) {}
     tail(tail_view const & g): B(g) {}
     tail(tail &&) = default;
@@ -279,6 +279,8 @@ namespace triqs { namespace gfs { namespace local {
     return *this;
   }
 
+  inline tail conj(tail_view t) { return {conj(t.data()), t.mask_view(),t.order_min()};}
+
   /// Slice in orbital space
   //template<bool V> tail_view slice_target(tail_impl<V> const & t, tqa::range R1, tqa::range R2) {
   inline tail_view slice_target(tail_view t, tqa::range R1, tqa::range R2) {
@@ -326,18 +328,23 @@ namespace triqs { namespace gfs { namespace local {
     return res;
   }
 
-  template<typename T1, typename T2>
+  template <typename T1, typename T2>
-    TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, LocalTail<T2>>)
+  TYPE_ENABLE_IF(tail, mpl::and_<LocalTail<T1>, LocalTail<T2>>) operator*(T1 const &a, T2 const &b) {
-    operator* (T1 const & a, T2 const & b) { return mult_impl(a,b); }
+   return mult_impl(a, b);
-
-  template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<tqa::ImmutableMatrix<T1>, LocalTail<T2>>)
-    operator* (T1 const & a, T2 const & b) {
-      tail res(b); for (long n=res.order_min(); n<=res.order_max(); ++n) res(n)=a*res(n); return res;
   }
 
-  template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, tqa::ImmutableMatrix<T2>>)
+  template <typename T1, typename T2>
-    operator* (T1 const & a, T2 const & b) {
+  TYPE_ENABLE_IF(tail, mpl::and_<tqa::ImmutableMatrix<T1>, LocalTail<T2>>) operator*(T1 const &a, T2 const &b) {
-      tail res(a); for (long n=res.order_min(); n<=res.order_max(); ++n) res(n)=res(n)*b; return res;
+   auto res = tail{first_dim(a), b.shape()[1], b.size(), b.order_min()};
+   for (int n = res.order_min(); n <= res.order_max(); ++n) res(n) = a * b(n);
+   return res;
+  }
+
+  template <typename T1, typename T2>
+  TYPE_ENABLE_IF(tail, mpl::and_<LocalTail<T1>, tqa::ImmutableMatrix<T2>>) operator*(T1 const &a, T2 const &b) {
+   auto res = tail{a.shape()[0], second_dim(b), a.size(), a.order_min()};
+   for (int n = res.order_min(); n <= res.order_max(); ++n) res(n) = a(n) * b;
+   return res;
   }
 
   inline tail operator * (dcomplex a, tail_view const & r) { tail res(r); res.data()*=a; return res;}