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dft_tools/triqs/gfs/deprecated/re_im_time.hpp

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/*******************************************************************************
*
* TRIQS: a Toolbox for Research in Interacting Quantum Systems
*
* Copyright (C) 2012 by M. Ferrero, O. Parcollet
*
* TRIQS is free software: you can redistribute it and/or modify it under the
* terms of the GNU General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any later
* version.
*
* TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
* details.
*
* You should have received a copy of the GNU General Public License along with
* TRIQS. If not, see <http://www.gnu.org/licenses/>.
*
******************************************************************************/
#ifndef TRIQS_GF_RE_IM_TIMES_H
#define TRIQS_GF_RE_IM_TIMES_H
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#include "../tools.hpp"
#include "../gf.hpp"
#include "../retime.hpp"
#include "../imtime.hpp"
#include "../meshes/product.hpp"
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namespace triqs { namespace gfs {
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struct re_im_time {};
// the gf_mesh
template<typename Opt> struct gf_mesh<re_im_time,Opt> : mesh_product<gf_mesh<retime,Opt>,gf_mesh<imtime,Opt>> {
typedef gf_mesh<retime,Opt> m1_t;
typedef gf_mesh<imtime,Opt> m2_t;
typedef mesh_product<m1_t,m2_t> B;
gf_mesh () = default;
gf_mesh (double tmin, double tmax, size_t nt, double beta, statistic_enum S, size_t ntau, mesh_kind mk=full_bins) :
B {gf_mesh<retime,Opt>(tmin,tmax,nt), gf_mesh<imtime,Opt>(beta,S, ntau, mk)} {}
};
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namespace gfs_implementation {
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// singularity
//template<typename Opt> struct singularity<re_im_time, scalar_valued, Opt> { typedef gf<retime,scalar_valued> type;};
// h5 name
template<typename Opt> struct h5_name<re_im_time,scalar_valued,Opt> { static std::string invoke(){ return "GfReImTime";}};
/// --------------------------- data access ---------------------------------
template<typename Opt> struct data_proxy<re_im_time,scalar_valued,Opt> : data_proxy_array<std::complex<double>,1> {};
/// --------------------------- evaluator ---------------------------------
template<typename Opt>
struct evaluator<re_im_time,scalar_valued,Opt> {
static constexpr int arity = 2;
template<typename G>
std::complex<double> operator() (G const * g, double t, double tau) const {
double beta = std::get<1>(g->mesh().components()).domain().beta;
int p = std::floor(tau/beta);
tau -= p*beta;
size_t nr,ni; double wr,wi; bool in;
std::tie(in, nr, wr) = windowing( std::get<0>(g->mesh().components()),t);
if (!in) TRIQS_RUNTIME_ERROR <<" Evaluation out of bounds, tmax=" << std::get<0>(g->mesh().components()).x_max() << ", tmin=" << std::get<0>(g->mesh().components()).x_min() << "here, t=" <<t;
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std::tie(in, ni, wi) = windowing( std::get<1>(g->mesh().components()),tau);
if (!in) TRIQS_RUNTIME_ERROR <<" Evaluation out of bounds, taumax=" << std::get<1>(g->mesh().components()).x_max()<< ", taumin=" << std::get<1>(g->mesh().components()).x_min() << "here, tau=" <<tau;
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auto gg = on_mesh(*g); //[g]( size_t nr, size_t ni) {return g->on_mesh(nr,ni);}; //data( g->mesh().index_to_linear(nr,ni));
auto res = (1-wr) * ( (1-wi) * gg(nr,ni) + wi * gg(nr,ni+1)) + wr * ( (1-wi) * gg(nr+1,ni) + wi * gg(nr+1,ni+1));
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return ((std::get<1>(g->mesh().components()).domain().statistic == Fermion) && (p%2==1) ? -res : res);
}
};
// ------------------------------- Factories --------------------------------------------------
template<typename Opt> struct factories<re_im_time, scalar_valued,Opt> {
typedef gf<re_im_time, scalar_valued,Opt> gf_t;
[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
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struct target_shape_t {};
template<typename MeshType>
static gf_t make_gf(MeshType && m) {
typename gf_t::data_regular_t A(m.size());
A() =0;
return gf_t (m, std::move(A), nothing(), nothing() ) ;
}
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static gf_t make_gf(double tmin, double tmax, size_t nt, double beta, statistic_enum S, size_t ntau, mesh_kind mk=full_bins) {
auto m = gf_mesh<re_im_time,Opt>(tmin,tmax, nt, beta, S, ntau, mk);
typename gf_t::data_regular_t A(m.size());
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A() =0;
return gf_t (m, std::move(A), nothing(), nothing());
//return gf_t (m, std::move(A), make_gf<retime,scalar_valued>(tmin, tmax, nt), nothing());
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}
};
} // gfs_implementation
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// CHANGE THIS NAME !!!
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template<typename RHS, bool V, bool C, typename Variable, typename Target, typename Opt >
void assign_from_expression (gf_impl<Variable,Target,Opt,V,C> const &, RHS) {}
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//slices
inline gf_view<retime,scalar_valued> slice_mesh_imtime (gf_view<re_im_time,scalar_valued> g, size_t index) {
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auto arr = reinterpret_linear_array(g.mesh(),g.data()); // view it as a 2d array
return { std::get<0>(g.mesh().components()), arr(arrays::range(), index), local::tail(1,1), nothing() };
}
/* gf_view<imtime,scalar_valued> slice_mesh_retime ( gf_view<re_im_time,scalar_valued> g, size_t index) {
auto arr = reinterpret_linear_array(g.mesh(),g.data()); // view it as a 2d array
return { std::get<1>(g.mesh().components()), arr(index, arrays::range()), g.singularity().singularity(), nothing() };
}
*/
//
// gf_view<retime,scalar_valued> slice_meshes ( gf_view<re_im_time,scalar_valued> g, size_t index) {
// return { std::get<0>(g.mesh().components()), g.data()(arrays::range(), index), tail ( g.singularity(.......) ), g.symmetry()}
// }
}}
#endif