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dft_tools/test/triqs/gfs/curry_and_fourier.cpp

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#define TRIQS_ARRAYS_ENFORCE_BOUNDCHECK
#include <triqs/gfs.hpp>
#include <triqs/gfs/product.hpp>
#include <triqs/gfs/curry.hpp>
#include <triqs/gfs/local/fourier_real.hpp>
#include <triqs/gfs/local/fourier_matsubara.hpp>
#include <triqs/arrays.hpp>
using namespace triqs::gfs;
namespace h5 = triqs::h5;
int main() {
try {
double tmax=10;
double wmin=0.;
double wmax=1.0;
int n_re_freq=100;
int Nt=100;
triqs::clef::placeholder<0> w_;
triqs::clef::placeholder<1> wn_;
triqs::clef::placeholder<2> tau_;
[API change] gf : factories -> constructors - Make more general constructors for the gf. gf( mesh, target_shape_t) - remove the old make_gf for the basic gf. - 2 var non generic gf removed. - clean evaluator - add tensor_valued - add a simple vertex test. - clean specialisation - Fix bug introduced in 1906dc3 - forgot to resize the gf in new version of operator = - Fix make_singularity in gf.hpp - clean resize in operator = - update h5 read/write for block gf - changed a bit the general trait to save *all* the gf. - allows a more general specialization, then a correct for blocks - NOT FINISHED : need to save the block indice for python. How to reread ? Currently it read the blocks names and reconstitute the mesh from it. Is it sufficient ? - clean block constructors - block constructors simplest possible : an int for the number of blocks - rest in free factories. - fixed the generic constructor from GfType for the regular type : only enable iif GfType is ImmutableGreenFunction - multivar. fix linear index in C, and h5 format - linear index now correctly flatten in C mode (was in fortran mode), using a simple reverse of the tuple in the folding. - fix the h5 read write of the multivar fonctions in order to write an array on dimension # variables + dim_target i.e. without flattening the indices of the meshes. Easier for later data analysis, e.g. in Python. - merge matrix/tensor_valued. improve factories - matrix_valued now = tensor_valued<2> (simplifies generic code for h5). - factories_one_var -> factories : this is the generic case ... only a few specialization, code is simpler. - clef expression call with rvalue for *this - generalize matrix_proxy to tensor and clean - clean exception catch in tests - exception catching catch in need in test because the silly OS X does not print anything, just "exception occurred". Very convenient for the developer... - BUT, one MUST add return 1, or the make test will *pass* !! - --> systematically replace the catch by a macro TRIQS_CATCH_AND_ABORT which return a non zero error code. - exception : curry_and_fourier which does not work at this stage (mesh incompatible). - gf: clean draft of gf 2 times - comment the python interface for the moment. - rm useless tests
2013-10-16 23:55:26 +02:00
auto G_w_wn = gf<cartesian_product<refreq,refreq>, scalar_valued>( {gf_mesh<refreq>(wmin, wmax, n_re_freq), gf_mesh<refreq>(wmin, wmax, n_re_freq)});
auto G_w_tau = gf<cartesian_product<refreq,retime>, scalar_valued>( {gf_mesh<refreq>(wmin, wmax, n_re_freq), gf_mesh<retime>(-tmax, tmax, Nt)});
G_w_wn(w_,wn_)<<1/(wn_-1)/( pow(w_,3) );
G_w_tau(w_,tau_)<< exp( -2*tau_ ) / (w_*w_ + 1 );
auto G_w_wn_curry0 = curry<0>(G_w_wn);
auto G_w_tau_curry0 = curry<0>(G_w_tau);
for (auto const & w : G_w_wn_curry0.mesh()) G_w_wn_curry0[w] = fourier(G_w_tau_curry0[w]);
G_w_wn_curry0[w_] << fourier(G_w_tau_curry0[w_]);
curry<0>(G_w_wn) [w_] << fourier(curry<0>(G_w_tau)[w_]);
}
[API change] gf : factories -> constructors - Make more general constructors for the gf. gf( mesh, target_shape_t) - remove the old make_gf for the basic gf. - 2 var non generic gf removed. - clean evaluator - add tensor_valued - add a simple vertex test. - clean specialisation - Fix bug introduced in 1906dc3 - forgot to resize the gf in new version of operator = - Fix make_singularity in gf.hpp - clean resize in operator = - update h5 read/write for block gf - changed a bit the general trait to save *all* the gf. - allows a more general specialization, then a correct for blocks - NOT FINISHED : need to save the block indice for python. How to reread ? Currently it read the blocks names and reconstitute the mesh from it. Is it sufficient ? - clean block constructors - block constructors simplest possible : an int for the number of blocks - rest in free factories. - fixed the generic constructor from GfType for the regular type : only enable iif GfType is ImmutableGreenFunction - multivar. fix linear index in C, and h5 format - linear index now correctly flatten in C mode (was in fortran mode), using a simple reverse of the tuple in the folding. - fix the h5 read write of the multivar fonctions in order to write an array on dimension # variables + dim_target i.e. without flattening the indices of the meshes. Easier for later data analysis, e.g. in Python. - merge matrix/tensor_valued. improve factories - matrix_valued now = tensor_valued<2> (simplifies generic code for h5). - factories_one_var -> factories : this is the generic case ... only a few specialization, code is simpler. - clef expression call with rvalue for *this - generalize matrix_proxy to tensor and clean - clean exception catch in tests - exception catching catch in need in test because the silly OS X does not print anything, just "exception occurred". Very convenient for the developer... - BUT, one MUST add return 1, or the make test will *pass* !! - --> systematically replace the catch by a macro TRIQS_CATCH_AND_ABORT which return a non zero error code. - exception : curry_and_fourier which does not work at this stage (mesh incompatible). - gf: clean draft of gf 2 times - comment the python interface for the moment. - rm useless tests
2013-10-16 23:55:26 +02:00
// temp fix : THE TEST DOES NOT RUN !!
//TRIQS_CATCH_AND_ABORT;
catch(std::exception const & e ) { std::cout << "error "<< e.what()<< std::endl;}
}