mirror of
https://github.com/triqs/dft_tools
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65 lines
1.6 KiB
C++
65 lines
1.6 KiB
C++
#include "./common.hpp"
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#include <triqs/arrays/indexmaps/cuboid/group_indices.hpp>
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#include <triqs/arrays/matrix.hpp>
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#include <triqs/arrays/asserts.hpp>
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namespace tqa=triqs::arrays;
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namespace tql=triqs::clef;
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using tqa::m_index;
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template<triqs::ull_t FLAG> void test() {
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tql::placeholder<0> i_;
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tql::placeholder<1> j_;
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tql::placeholder<2> k_;
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tql::placeholder<3> l_;
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{ // a simple test
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tqa::array<int,4,FLAG> A(2,2,2,2);
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A(i_,j_,k_,l_) << i_ + 10*j_ + 100*k_ + 1000*l_;
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TEST(A);
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TEST( group_indices(A, m_index<0,1>(), m_index<2,3>()));
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}
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{ // more complex : inversing a tensor product of matrices...
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tqa::matrix<double,FLAG> B(2,2), C(3,3), Binv, Cinv;
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C(i_,j_) << 1.7 /( 3.4*i_ - 2.3*j_ + 1) ;
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B(i_,j_) << 2*i_ + j_;
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TEST(B); TEST(C);
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Binv = inverse(B);
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Cinv = inverse(C);
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TEST(Binv); TEST(Cinv);
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tqa::array<double,4,FLAG> A(2,3,2,3);
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A(i_,j_,k_,l_) << B(i_,k_) * C(j_,l_);
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TEST(A);
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tqa::matrix_view<double,FLAG> M = group_indices (A, m_index<0,1>() , m_index<2,3>() );
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M = inverse(M);
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// checking
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tqa::array<double,4,FLAG> R(A.shape());
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R(i_,j_,k_,l_) << Binv(i_,k_) * Cinv(j_,l_);
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TEST(R);
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TEST(A);
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assert_all_close(R,A,5.e-15);
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//TEST(make_array(R-A));
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//TEST( max(abs(R-A)));
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}
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}
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int main () {
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test<TRAVERSAL_ORDER_FORTRAN>();
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test<TRAVERSAL_ORDER_C>();
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// template dans le namespace clef pour ADL et enable sur le concept de A ...
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// an alternative syntax ?
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//auto V = group_indices( A(i_,j_,k_,l_), var(i_,j_), var(k_,l_));
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// match A(...), deduce the int of hte ph, and make a finder for a ph in it
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// finder<Expr>::find<i>::value --> m_index<...>
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}
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