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dft_tools/triqs/gfs/tools.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_TOOLS_H
#define TRIQS_GF_TOOLS_H
#include <triqs/utility/first_include.hpp>
#include <utility>
#include <boost/iterator/iterator_facade.hpp>
#include <triqs/clef.hpp>
#include <triqs/arrays/array.hpp>
#include <triqs/arrays/matrix.hpp>
#include <triqs/arrays/h5/simple_read_write.hpp>
#include "triqs/utility/complex_ops.hpp"
#include <triqs/utility/view_tools.hpp>
#include <triqs/utility/expression_template_tools.hpp>
#include <triqs/h5.hpp>
namespace triqs { namespace gfs {
namespace tqa= triqs::arrays;
namespace mpl=boost::mpl;
namespace tag { struct composite{}; struct mesh_point{};}
struct scalar_valued {};
[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
template<int R> struct tensor_valued {static_assert( R>0, "tensor_valued only for rank >0");};
struct matrix_valued{};
//------------------------------------------------------
typedef std::complex<double> dcomplex;
enum statistic_enum {Boson,Fermion};
struct freq_infty{}; // the point at infinity
//------------------------------------------------------
inline std::vector<std::string> split(const std::string &s, char delim){
std::vector<std::string> elems;
std::stringstream ss(s);
std::string item;
while(std::getline(ss, item, delim)) { elems.push_back(item); }
return elems;
}
//------------------------------------------------------
template<typename ... T> struct closest_pt_wrap;
template<typename T> struct closest_pt_wrap<T> : tag::mesh_point { T value; template<typename U> explicit closest_pt_wrap(U&&x): value(std::forward<U>(x)){} };
template<typename T1, typename T2, typename ...Ts > struct closest_pt_wrap<T1,T2,Ts...> : tag::mesh_point {
std::tuple<T1,T2,Ts...> value_tuple;
template<typename ... U> explicit closest_pt_wrap(U&& ... x): value_tuple (std::forward<U>(x) ... ){}
};
template<typename ... T> closest_pt_wrap<T...> closest_mesh_pt(T && ... x) { return closest_pt_wrap<T...> (std::forward<T>(x)...);}
//------------------------------------------------------
struct nothing {
[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
template<typename... Args> explicit nothing(Args&&...) {} // takes anything, do nothing..
nothing() {}
typedef nothing view_type;
typedef nothing regular_type;
void rebind (nothing){}
template< typename RHS> void operator=(RHS && ) {}
friend void h5_write (h5::group, std::string subgroup_name, nothing ) {}
friend void h5_read (h5::group, std::string subgroup_name, nothing ) {}
// BOOST Serialization
friend class boost::serialization::access;
template<class Archive>
void serialize(Archive & ar, const unsigned int version) {
}
friend nothing operator +( nothing, nothing) { return nothing();}
template<typename RHS> friend void assign_from_expression(nothing & ,RHS) {}
};
template <typename... T> nothing slice_target(nothing, T...) { return nothing(); }
template <typename T> nothing operator+(nothing, T const &) { return nothing(); }
template <typename T> nothing operator-(nothing, T const &) { return nothing(); }
template <typename T> nothing operator*(nothing, T const &) { return nothing(); }
template <typename T> nothing operator/(nothing, T const &) { return nothing(); }
template <typename T> TYPE_DISABLE_IF(nothing, std::is_same<T, nothing>) operator+(T const &, nothing) { return nothing(); }
template <typename T> TYPE_DISABLE_IF(nothing, std::is_same<T, nothing>) operator-(T const &, nothing) { return nothing(); }
template <typename T> TYPE_DISABLE_IF(nothing, std::is_same<T, nothing>) operator*(T const &, nothing) { return nothing(); }
template <typename T> TYPE_DISABLE_IF(nothing, std::is_same<T, nothing>) operator/(T const &, nothing) { return nothing(); }
}}
#endif