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dft_tools/triqs/gfs/gf.hpp

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/*******************************************************************************
*
* TRIQS: a Toolbox for Research in Interacting Quantum Systems
*
* Copyright (C) 2012-2013 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_GFBASECLASS_H
#define TRIQS_GF_GFBASECLASS_H
#include <triqs/utility/first_include.hpp>
#include <triqs/utility/std_vector_expr_template.hpp>
#include <triqs/utility/factory.hpp>
#include <triqs/utility/tuple_tools.hpp>
#include <triqs/arrays/h5.hpp>
#include <vector>
#include "./tools.hpp"
#include "./data_proxies.hpp"
namespace triqs { namespace gfs {
using utility::factory;
using arrays::make_shape;
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// the gf mesh
template <typename Variable, typename Opt = void> struct gf_mesh;
// The regular type
template <typename Variable, typename Target = matrix_valued, typename Opt = void> class gf;
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// The view type
template <typename Variable, typename Target = matrix_valued, typename Opt = void, bool IsConst = false> class gf_view;
// The const view type
template <typename Variable, typename Target = matrix_valued, typename Opt = void>
using gf_const_view = gf_view<Variable, Target, Opt, true>;
// the implementation class
template<typename Variable, typename Target, typename Opt, bool IsView, bool IsConst> class gf_impl;
// various implementation traits
[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
namespace gfs_implementation { // never use using of this...
[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
// evaluator regroup functions to evaluate the function.
template<typename Variable, typename Target, typename Opt> struct evaluator{ static constexpr int arity = 0;};
// closest_point mechanism
template<typename Variable, typename Target, typename Opt> struct get_closest_point;
[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
// singularity
template<typename Variable, typename Target, typename Opt> struct singularity { typedef nothing type;};
[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
// symmetry
template<typename Variable, typename Target, typename Opt> struct symmetry { typedef nothing type;};
// data_proxy contains function to manipulate the data array, but no data itself.
// this is used to specialize this part of the code to array of dim 3 (matrix gf), dim 1 (scalar gf) and vector (e.g. block gf, ...)
template<typename Variable, typename Target, typename Opt, typename Enable = void> struct data_proxy;
// Traits to read/write in hdf5 files. Can be specialized for some case (Cf block). Defined below
template <typename Variable, typename Target, typename Opt> struct h5_name; // value is a const char
template <typename Variable, typename Target, typename Opt> struct h5_rw;
// factories regroup all factories (constructors..) for all types of gf. Defaults implemented below.
[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 Variable, typename Target, typename Opt> struct factories;
} // gfs_implementation
// OBSOLETE : kept for backward compatibility only. Do not document.
// make_gf and make_gf_view forward any args to them
template <typename Variable, typename Target=matrix_valued, typename Opt=void, typename ... U>
gf<Variable,Target,Opt> make_gf(gf_mesh<Variable,Opt> m, U && ... x)
{ return gfs_implementation::factories<Variable,Target,Opt>::make_gf(std::move(m),std::forward<U>(x)...);}
template <typename Variable, typename Target=matrix_valued, typename Opt=void, typename ... U>
gf<Variable,Target,Opt> make_gf(U && ... x) { return gfs_implementation::factories<Variable,Target,Opt>::make_gf(std::forward<U>(x)...);}
template <typename Variable, typename Target=matrix_valued, typename Opt=void, typename ... U>
gf_view<Variable,Target,Opt> make_gf_view(U && ... x) { return gfs_implementation::factories<Variable,Target,Opt>::make_gf_view(std::forward<U>(x)...);}
// The trait that "marks" the Green function
TRIQS_DEFINE_CONCEPT_AND_ASSOCIATED_TRAIT(ImmutableGreenFunction);
template <typename G> auto get_gf_data_shape(G const &g) DECL_AND_RETURN(g.get_data_shape());
[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 Variable, typename Target, typename Opt, bool IsView, bool IsConst>
auto get_target_shape(gf_impl<Variable, Target, Opt, IsView, IsConst> const &g) DECL_AND_RETURN(g.data().shape().front_pop());
// ---------------------- implementation --------------------------------
// overload get_shape for a vector to simplify code below in gf block case.
template <typename T> long get_shape(std::vector<T> const &x) { return x.size(); }
/// A common implementation class for gf and gf_view. They will only redefine contructor and = ...
template <typename Variable, typename Target, typename Opt, bool IsView, bool IsConst>
class gf_impl : TRIQS_CONCEPT_TAG_NAME(ImmutableGreenFunction) {
static_assert(!(!IsView && IsConst), "Internal error");
public :
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typedef gf_view<Variable,Target,Opt> mutable_view_type;
typedef gf_const_view<Variable,Target,Opt> const_view_type;
typedef typename std::conditional <IsConst, const_view_type, mutable_view_type>::type view_type;
typedef gf<Variable,Target,Opt> regular_type;
typedef Variable variable_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
2013-10-16 23:55:26 +02:00
typedef Target target_t;
typedef Opt option_t;
typedef gf_mesh<Variable,Opt> mesh_t;
typedef typename mesh_t::domain_t domain_t;
typedef typename mesh_t::mesh_point_t mesh_point_t;
typedef typename mesh_t::index_t mesh_index_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
2013-10-16 23:55:26 +02:00
typedef typename gfs_implementation::symmetry<Variable,Target,Opt>::type symmetry_t;
typedef gfs_implementation::evaluator<Variable,Target,Opt> evaluator_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
2013-10-16 23:55:26 +02:00
typedef gfs_implementation::data_proxy<Variable,Target,Opt> data_proxy_t;
typedef typename data_proxy_t::storage_t data_regular_t;
typedef typename data_proxy_t::storage_view_t data_view_t;
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typedef typename data_proxy_t::storage_const_view_t data_const_view_t;
typedef typename std::conditional<IsView, typename std::conditional<IsConst, data_const_view_t, data_view_t>::type,
data_regular_t>::type data_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
2013-10-16 23:55:26 +02:00
typedef typename gfs_implementation::singularity<Variable,Target,Opt>::type singularity_non_view_t;
typedef typename view_type_if_exists_else_type<singularity_non_view_t>::type singularity_view_t;
typedef typename std::conditional<IsView, singularity_view_t, singularity_non_view_t>::type singularity_t;
mesh_t const & mesh() const { return _mesh;}
domain_t const & domain() const { return _mesh.domain();}
data_t & data() { return _data;}
data_t const & data() const { return _data;}
singularity_t & singularity() { return _singularity;}
singularity_t const & singularity() const { return _singularity;}
symmetry_t const & symmetry() const { return _symmetry;}
evaluator_t const & get_evaluator() const { return _evaluator;}
[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 get_data_shape() const DECL_AND_RETURN(get_shape(this->data()));
protected:
mesh_t _mesh;
data_t _data;
singularity_t _singularity;
symmetry_t _symmetry;
evaluator_t _evaluator;
data_proxy_t _data_proxy;
// --------------------------------Constructors -----------------------------------------------
// all protected but one, this is an implementation class, see gf/gf_view later for public one
gf_impl() {} // all arrays of zero size (empty)
public : //everyone can make a copy and a move (for clef lib in particular, this one needs to be public)
gf_impl(gf_impl const &x)
: _mesh(x.mesh()),
_data(factory<data_t>(x.data())),
_singularity(factory<singularity_t>(x.singularity())),
_symmetry(x.symmetry()),
_evaluator(x._evaluator) {}
gf_impl(gf_impl &&) = default;
protected:
template <typename G>
gf_impl(G &&x, bool) // bool to disambiguate
: _mesh(x.mesh()),
_data(factory<data_t>(x.data())),
_singularity(factory<singularity_t>(x.singularity())),
_symmetry(x.symmetry()),
_evaluator(x.get_evaluator()) {}
template <typename M, typename D, typename S, typename SY, typename EV>
gf_impl(M &&m, D &&dat, S &&sing, SY &&sy, EV &&ev)
: _mesh(std::forward<M>(m)),
_data(std::forward<D>(dat)),
_singularity(std::forward<S>(sing)),
_symmetry(std::forward<SY>(sy)),
_evaluator(std::forward<EV>(ev)) {}
void operator = (gf_impl const & rhs) = delete; // done in derived class.
void swap_impl (gf_impl & b) noexcept {
using std::swap;
swap(this->_mesh, b._mesh);
swap(this->_data, b._data);
swap(this->_singularity, b._singularity);
swap(this->_symmetry, b._symmetry);
swap(this->_evaluator, b._evaluator);
}
public:
// ------------- All the call operators -----------------------------
// First, a simple () returns a view, like for an array...
const_view_type operator()() const { return *this; }
2013-10-18 13:39:00 +02:00
view_type operator()() { return *this; }
/// Calls are (perfectly) forwarded to the evaluator::operator(), except mesh_point_t and when
/// there is at least one lazy argument ...
template <typename... Args> // match any argument list, picking out the first type : () is not permitted
typename std::add_const<typename boost::lazy_disable_if_c< // disable the template if one the following conditions it true
(sizeof...(Args) == 0) || clef::is_any_lazy<Args...>::value ||
((sizeof...(Args) != evaluator_t::arity) && (evaluator_t::arity != -1)) // if -1 : no check
,
std::result_of<evaluator_t(gf_impl *, Args...)> // what is the result type of call
>::type // end of lazy_disable_if
>::type // end of add_Const
operator()(Args &&... args) const {
return _evaluator(this, std::forward<Args>(args)...);
}
[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>
typename clef::_result_of::make_expr_call<gf_impl &, Args...>::type operator()(Args &&... args) & {
return clef::make_expr_call(*this, std::forward<Args>(args)...);
}
template <typename... Args>
typename clef::_result_of::make_expr_call<gf_impl const &, Args...>::type operator()(Args &&... args) const &{
return clef::make_expr_call(*this, std::forward<Args>(args)...);
}
template <typename... Args> typename clef::_result_of::make_expr_call<gf_impl, Args...>::type operator()(Args &&... args) && {
return clef::make_expr_call(std::move(*this), std::forward<Args>(args)...);
}
// ------------- All the [] operators -----------------------------
// [] and access to the grid point
typedef typename std::result_of<data_proxy_t(data_t &, size_t)>::type r_type;
typedef typename std::result_of<data_proxy_t(data_t const &, size_t)>::type cr_type;
r_type operator[] (mesh_index_t const & arg) { return _data_proxy(_data,_mesh.index_to_linear(arg));}
cr_type operator[] (mesh_index_t const & arg) const { return _data_proxy(_data,_mesh.index_to_linear(arg));}
r_type operator[] (mesh_point_t const & x) { return _data_proxy(_data, x.linear_index());}
cr_type operator[] (mesh_point_t const & x) const { return _data_proxy(_data, x.linear_index());}
template<typename ... U>
r_type operator[] (closest_pt_wrap<U...> const & p) { return _data_proxy(_data, _mesh.index_to_linear( gfs_implementation::get_closest_point<Variable,Target,Opt>::invoke(this,p)));}
template<typename ... U>
cr_type operator[] (closest_pt_wrap<U...> const & p) const { return _data_proxy(_data, _mesh.index_to_linear( gfs_implementation::get_closest_point<Variable,Target,Opt>::invoke(this,p)));}
[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 Arg>
typename clef::_result_of::make_expr_subscript<gf_impl const &,Arg>::type
operator[](Arg && arg) const & { return clef::make_expr_subscript(*this,std::forward<Arg>(arg));}
template<typename Arg>
[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
typename clef::_result_of::make_expr_subscript<gf_impl &,Arg>::type
operator[](Arg && arg) & { return clef::make_expr_subscript(*this,std::forward<Arg>(arg));}
template<typename Arg>
[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
typename clef::_result_of::make_expr_subscript<gf_impl,Arg>::type
operator[](Arg && arg) && { return clef::make_expr_subscript(std::move(*this),std::forward<Arg>(arg));}
/// --------------------- A direct access to the grid point --------------------------
template<typename... Args>
r_type on_mesh (Args&&... args) { return _data_proxy(_data,_mesh.index_to_linear(mesh_index_t(std::forward<Args>(args)...)));}
template<typename... Args>
cr_type on_mesh (Args&&... args) const { return _data_proxy(_data,_mesh.index_to_linear(mesh_index_t(std::forward<Args>(args)...)));}
// The on_mesh little adaptor ....
private:
struct _on_mesh_wrapper_const {
gf_impl const &f;
template <typename... Args> cr_type operator()(Args &&... args) const { return f.on_mesh(std::forward<Args>(args)...); }
};
struct _on_mesh_wrapper {
gf_impl &f;
template <typename... Args> r_type operator()(Args &&... args) const { return f.on_mesh(std::forward<Args>(args)...); }
};
public:
_on_mesh_wrapper_const friend on_mesh(gf_impl const &f) {
return {f};
}
_on_mesh_wrapper friend on_mesh(gf_impl &f) {
return {f};
}
//----------------------------- HDF5 -----------------------------
friend std::string get_triqs_hdf5_data_scheme(gf_impl const & g) { return "Gf" + gfs_implementation::h5_name<Variable,Target,Opt>::invoke();}
2013-10-18 13:39:00 +02:00
friend class gfs_implementation::h5_rw<Variable,Target,Opt>;
[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
/// Write into HDF5
friend void h5_write (h5::group fg, std::string subgroup_name, gf_impl const & g) {
auto gr = fg.create_group(subgroup_name);
gr.write_triqs_hdf5_data_scheme(g);
2013-10-18 13:39:00 +02:00
gfs_implementation::h5_rw<Variable,Target,Opt>::write(gr, g);
}
/// Read from HDF5
friend void h5_read (h5::group fg, std::string subgroup_name, gf_impl & g) {
auto gr = fg.open_group(subgroup_name);
// Check the attribute or throw
auto tag_file = gr.read_triqs_hdf5_data_scheme();
auto tag_expected= get_triqs_hdf5_data_scheme(g);
if (tag_file != tag_expected)
TRIQS_RUNTIME_ERROR<< "h5_read : mismatch of the tag TRIQS_HDF5_data_scheme tag in the h5 group : found "<<tag_file << " while I expected "<< tag_expected;
2013-10-18 13:39:00 +02:00
gfs_implementation::h5_rw<Variable,Target,Opt>::read(gr, g);
}
//----------------------------- BOOST Serialization -----------------------------
friend class boost::serialization::access;
template<class Archive>
void serialize(Archive & ar, const unsigned int version) {
ar & boost::serialization::make_nvp("data",_data);
ar & boost::serialization::make_nvp("singularity",_singularity);
ar & boost::serialization::make_nvp("mesh",_mesh);
ar & boost::serialization::make_nvp("symmetry",_symmetry);
}
/// print
friend std::ostream & operator << (std::ostream & out, gf_impl const & x) { return out<<(IsView ? "gf_view": "gf");}
friend std::ostream & triqs_nvl_formal_print(std::ostream & out, gf_impl const & x) { return out<<(IsView ? "gf_view": "gf");}
[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
};
// -------------------------Interaction with the CLEF library : auto assignement implemnetation--------------------------------------
// auto assignment of the gf (gf(om_) << expression fills the functions by evaluation of expression)
template <typename RHS, typename Variable, typename Target, typename Opt, bool IsView>
void triqs_clef_auto_assign(gf_impl<Variable, Target, Opt, IsView, false> &g, RHS const &rhs) {
triqs_clef_auto_assign_impl(g, rhs, typename std::is_base_of<tag::composite, gf_mesh<Variable,Opt>>::type());
assign_from_expression(g.singularity(), rhs);
// access to the data . Beware, we view it as a *matrix* NOT an array... (crucial for assignment to scalars !)
// if f is an expression, replace the placeholder with a simple tail. If f is a function callable on freq_infty,
// it uses the fact that tail_non_view_t can be casted into freq_infty
}
[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
// enable the writing g[om_] << .... also
template <typename RHS, typename Variable, typename Target, typename Opt, bool IsView>
void triqs_clef_auto_assign_subscript(gf_impl<Variable, Target, Opt, IsView, false> &g, RHS const &rhs) {
triqs_clef_auto_assign(g, rhs);
}
[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 <bool B, typename G, typename RHS>
void triqs_gf_clef_auto_assign_impl_aux_assign(G &&g, RHS &&rhs, std::integral_constant<bool, B>) {
std::forward<G>(g) = std::forward<RHS>(rhs);
}
template <typename G, bool B, typename Expr, int... Is>
void triqs_gf_clef_auto_assign_impl_aux_assign(G &&g, clef::make_fun_impl<Expr, Is...> &&rhs, std::integral_constant<bool, B>) {
triqs_clef_auto_assign_impl(std::forward<G>(g), std::forward<clef::make_fun_impl<Expr, Is...>>(rhs), std::integral_constant<bool, B>());
}
template <typename RHS, typename Variable, typename Target, typename Opt, bool IsView>
void triqs_clef_auto_assign_impl(gf_impl<Variable, Target, Opt, IsView, false> &g, RHS const &rhs,
std::integral_constant<bool, false>) {
for (auto const &w : g.mesh()) {
triqs_gf_clef_auto_assign_impl_aux_assign(g[w], rhs(w), std::integral_constant<bool, false>());
//(*this)[w] = rhs(w);
}
}
template <typename RHS, typename Variable, typename Target, typename Opt, bool IsView>
void triqs_clef_auto_assign_impl(gf_impl<Variable, Target, Opt, IsView, false> &g, RHS const &rhs,
std::integral_constant<bool, true>) {
for (auto const &w : g.mesh()) {
triqs_gf_clef_auto_assign_impl_aux_assign(g[w], triqs::tuple::apply(rhs, w.components_tuple()), std::integral_constant<bool, true>());
//(*this)[w] = triqs::tuple::apply(rhs, w.components_tuple());
}
}
// -------------------------The regular class of GF --------------------------------------------------------
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template<typename Variable, typename Target, typename Opt> class gf : public gf_impl<Variable,Target,Opt,false, false> {
typedef gf_impl<Variable,Target,Opt,false,false> B;
[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
typedef gfs_implementation::factories<Variable,Target,Opt> factory;
public :
gf() : B() {}
gf(gf const &g) : B(g) {}
gf(gf &&g) noexcept : B(std::move(g)) {}
gf(gf_view<Variable, Target, Opt> const &g) : B(g, bool{}) {}
gf(gf_const_view<Variable, Target, Opt> const &g) : B(g, bool{}) {}
template <typename GfType>
gf(GfType const &x, typename std::enable_if<ImmutableGreenFunction<GfType>::value>::type *dummy = 0)
: B() {
*this = x;
}
gf(typename B::mesh_t m, typename B::data_t dat, typename B::singularity_view_t const &si, typename B::symmetry_t const &s)
: B(std::move(m), std::move(dat), si, s, typename B::evaluator_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
2013-10-16 23:55:26 +02:00
typedef typename factory::target_shape_t target_shape_t;
gf(typename B::mesh_t m, target_shape_t shape = target_shape_t{} ):
B(std::move(m), factory::make_data(m,shape), factory::make_singularity(m,shape), typename B::symmetry_t {}, typename B::evaluator_t{}) {}
friend void swap (gf & a, gf & b) noexcept { a.swap_impl (b);}
[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
gf & operator = (gf const & rhs) { *this = gf(rhs); return *this;} // use move =
gf & operator = (gf & rhs) { *this = gf(rhs); return *this;} // use move =
gf & operator = (gf && rhs) noexcept { swap(*this,rhs); return *this;}
template<typename RHS> void operator = (RHS && rhs) {
this->_mesh = rhs.mesh();
[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
this->_data.resize(get_gf_data_shape(rhs));
for (auto const & w: this->mesh()) { (*this)[w] = rhs[w]; }
this->_singularity = rhs.singularity();
// to be implemented : there is none in the gf_expr in particular....
//this->_symmetry = rhs.symmetry();
}
[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
};
// --------------------------The const View class of GF -------------------------------------------------------
2013-10-18 13:39:00 +02:00
template<typename Variable, typename Target, typename Opt> class gf_view<Variable,Target,Opt,true> : public gf_impl<Variable,Target,Opt,true,true> {
typedef gf_impl<Variable,Target,Opt,true,true> B;
public :
gf_view() = delete;
gf_view(gf_view const &g) : B(g) {}
gf_view(gf_view &&g) noexcept : B(std::move(g)) {}
gf_view(gf_impl<Variable, Target, Opt, true, true> const &g) : B(g, bool{}) {} // from a const_view
gf_view(gf_impl<Variable, Target, Opt, true, false> const &g) : B(g, bool{}) {} // from a view
gf_view(gf_impl<Variable, Target, Opt, false, false> const &g) : B(g, bool{}) {} // from a const gf
gf_view(gf_impl<Variable, Target, Opt, false, false> &g) : B(g, bool{}) {} // from a gf &
gf_view(gf_impl<Variable, Target, Opt, false, false> &&g) noexcept : B(std::move(g), bool{}) {} // from a gf &&
template <typename D>
gf_view(typename B::mesh_t const &m, D const &dat, typename B::singularity_view_t const &t, typename B::symmetry_t const &s)
: B(m, factory<typename B::data_t>(dat), t, s, typename B::evaluator_t{}) {}
void rebind(gf_view const &X) noexcept {
2013-10-18 13:39:00 +02:00
this->_mesh = X._mesh; this->_symmetry = X._symmetry;
this->_data_proxy.rebind(this->_data,X);
this->_singularity.rebind(X._singularity);
}
void rebind(gf_view<Variable, Target, Opt, false> const &X) noexcept {
rebind(gf_view{X});
}
2013-10-18 13:39:00 +02:00
gf_view & operator = (gf_view const & ) = delete;
}; // class gf_const_view
// ------------------------- The View class of GF -------------------------------------------------------
2013-10-18 13:39:00 +02:00
template<typename Variable, typename Target, typename Opt> class gf_view<Variable,Target,Opt,false> : public gf_impl<Variable,Target,Opt,true,false> {
typedef gf_impl<Variable,Target,Opt,true,false> B;
public :
2013-10-18 13:39:00 +02:00
gf_view() = delete;
gf_view(gf_view const &g) : B(g) {}
gf_view(gf_view &&g) noexcept : B(std::move(g)) {}
gf_view(gf_impl<Variable, Target, Opt, true, true> const &g) = delete; // from a const view : impossible
gf_view(gf_impl<Variable, Target, Opt, true, false> const &g) : B(g, bool{}) {} // from a view
gf_view(gf_impl<Variable, Target, Opt, false, false> const &g) = delete; // from a const gf : impossible
gf_view(gf_impl<Variable, Target, Opt, false, false> &g) : B(g, bool{}) {} // from a gf &
gf_view(gf_impl<Variable, Target, Opt, false, false> &&g) noexcept : B(std::move(g), bool{}) {} // from a gf &&
template <typename D>
gf_view(typename B::mesh_t const &m, D const &dat, typename B::singularity_view_t const &t, typename B::symmetry_t const &s)
: B(m, factory<typename B::data_t>(dat), t, s, typename B::evaluator_t{}) {}
friend void swap (gf_view & a, gf_view & b) noexcept { a.swap_impl (b);}
void rebind(gf_view const &X) noexcept {
this->_mesh = X._mesh; this->_symmetry = X._symmetry;
this->_data_proxy.rebind(this->_data,X);
this->_singularity.rebind(X._singularity);
}
gf_view &operator=(gf_view const &rhs) {
triqs_gf_view_assign_delegation(*this, rhs);
return *this;
}
template <typename RHS> gf_view &operator=(RHS const &rhs) {
triqs_gf_view_assign_delegation(*this, rhs);
return *this;
}
}; // class gf_view
// delegate = so that I can overload it for specific RHS...
template<typename Variable, typename Target, typename Opt, typename RHS>
DISABLE_IF(arrays::is_scalar<RHS>) triqs_gf_view_assign_delegation( gf_view<Variable,Target,Opt> g, RHS const & rhs) {
[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
if (!(g.mesh() == rhs.mesh())) TRIQS_RUNTIME_ERROR<<"Gf Assignment in View : incompatible mesh";
for (auto const & w: g.mesh()) g[w] = rhs[w];
g.singularity() = rhs.singularity();
}
template<typename Variable, typename Target, typename Opt, typename T>
ENABLE_IF(arrays::is_scalar<T>) triqs_gf_view_assign_delegation( gf_view<Variable,Target,Opt> g, T const & x) {
gf_view<Variable,Target,Opt>::data_proxy_t::assign_to_scalar(g.data(), x);
g.singularity() = x;
}
// tool for lazy transformation
template <typename Tag, typename D, typename Target = matrix_valued, typename Opt=void> struct gf_keeper {
gf_const_view<D, Target, Opt> g;
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};
// ---------------------------------- slicing ------------------------------------
// slice
template <typename Variable, typename Target, typename Opt, bool IsConst, typename... Args>
gf_view<Variable, matrix_valued, Opt, IsConst> slice_target(gf_view<Variable, Target, Opt, IsConst> g, Args &&... args) {
static_assert(std::is_same<Target, matrix_valued>::value, "slice_target only for matrix_valued GF's");
using arrays::range;
return {g.mesh(), g.data()(range(), std::forward<Args>(args)...),
slice_target(g.singularity(), std::forward<Args>(args)...), g.symmetry()};
}
template <typename Variable, typename Target, typename Opt, typename... Args>
gf_view<Variable, matrix_valued, Opt> slice_target(gf<Variable, Target, Opt> &g, Args &&... args) {
return slice_target(g(), std::forward<Args>(args)...);
}
template <typename Variable, typename Target, typename Opt, typename... Args>
gf_const_view<Variable, matrix_valued, Opt> slice_target(gf<Variable, Target, Opt> const &g, Args &&... args) {
return slice_target(g(), std::forward<Args>(args)...);
}
// slice to scalar
template <typename Variable, typename Target, typename Opt, bool IsConst, typename... Args>
gf_view<Variable, scalar_valued, Opt, IsConst> slice_target_to_scalar(gf_view<Variable, Target, Opt, IsConst> g,
Args &&... args) {
static_assert(std::is_same<Target, matrix_valued>::value, "slice_target only for matrix_valued GF's");
using arrays::range;
return {g.mesh(), g.data()(range(), std::forward<Args>(args)...),
slice_target(g.singularity(), range(args, args + 1)...), g.symmetry()};
}
template <typename Variable, typename Target, typename Opt, typename... Args>
gf_view<Variable, scalar_valued, Opt> slice_target_to_scalar(gf<Variable, Target, Opt> &g, Args &&... args) {
return slice_target_to_scalar(g(), std::forward<Args>(args)...);
}
template <typename Variable, typename Target, typename Opt, typename... Args>
gf_const_view<Variable, scalar_valued, Opt> slice_target_to_scalar(gf<Variable, Target, Opt> const &g, Args &&... args) {
return slice_target_to_scalar(g(), std::forward<Args>(args)...);
}
// a scalar_valued gf can be viewed as a 1x1 matrix
template <typename Variable, typename Opt, bool IsConst>
gf_view<Variable, matrix_valued, Opt, IsConst>
reinterpret_scalar_valued_gf_as_matrix_valued(gf_view<Variable, scalar_valued, Opt, IsConst> g) {
typedef typename gf_view<Variable, matrix_valued, Opt, IsConst>::data_view_t a_t;
auto a = a_t{typename a_t::indexmap_type(join(g.data().shape(), make_shape(1, 1))), g.data().storage()};
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return {g.mesh(), a, g.singularity(), g.symmetry()};
}
template <typename Variable, typename Opt>
gf_view<Variable, matrix_valued, Opt> reinterpret_scalar_valued_gf_as_matrix_valued(gf<Variable, scalar_valued, Opt> &g) {
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return reinterpret_scalar_valued_gf_as_matrix_valued(g());
}
template <typename Variable, typename Opt>
gf_const_view<Variable, matrix_valued, Opt>
reinterpret_scalar_valued_gf_as_matrix_valued(gf<Variable, scalar_valued, Opt> const &g) {
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return reinterpret_scalar_valued_gf_as_matrix_valued(g());
}
/*
template<typename Variable1,typename Variable2, typename Target, typename Opt, bool V, typename... Args>
gf_view<Variable2,Target,Opt> slice_mesh (gf_impl<Variable1,Target,Opt,V> const & g, Args... args) {
return gf_view<Variable2,Target,Opt>(g.mesh().slice(args...), g.data()(g.mesh().slice_get_range(args...),arrays::ellipsis()), g.singularity(), g.symmetry());
}*/
namespace gfs_implementation { // implement some default traits
// ------------------------- default factories ---------------------
// ----- tensor_valued
template <int R, typename Var, typename Opt> struct factories<Var, tensor_valued<R>, Opt> {
typedef gf<Var, tensor_valued<R>, Opt> gf_t;
typedef tqa::mini_vector<size_t, R> target_shape_t;
typedef typename gf_t::mesh_t mesh_t;
static typename gf_t::data_t make_data(mesh_t const &m, target_shape_t shape) {
typename gf_t::data_t A(shape.front_append(m.size()));
A() = 0;
return A;
}
static typename gf_t::singularity_t make_singularity(mesh_t const &m, target_shape_t shape) {
return typename gf_t::singularity_t(shape);
}
};
// ----- matrix_valued
template <typename Var, typename Opt> struct factories<Var, matrix_valued, Opt> {
typedef gf<Var, matrix_valued, Opt> gf_t;
typedef tqa::mini_vector<size_t, 2> target_shape_t;
typedef typename gf_t::mesh_t mesh_t;
static typename gf_t::data_t make_data(mesh_t const &m, target_shape_t shape) {
typename gf_t::data_t A(shape.front_append(m.size()));
A() = 0;
return A;
}
static typename gf_t::singularity_t make_singularity(mesh_t const &m, target_shape_t shape) {
return typename gf_t::singularity_t(shape);
}
};
// ----- scalar_valued
template <typename Var, typename Opt> struct factories<Var, scalar_valued, Opt> {
typedef gf<Var, scalar_valued, Opt> gf_t;
struct target_shape_t {
target_shape_t front_pop() const { // this make the get_target_shape function works in this case...
return {};
}
target_shape_t() = default;
template <typename T> target_shape_t(utility::mini_vector<T, 0>) {}
};
typedef typename gf_t::mesh_t mesh_t;
static typename gf_t::data_t make_data(mesh_t const &m, target_shape_t shape) {
typename gf_t::data_t A(m.size());
A() = 0;
return A;
}
static typename gf_t::singularity_t make_singularity(mesh_t const &m, target_shape_t shape) {
return typename gf_t::singularity_t{1, 1};
}
};
// --------------------- hdf5 ---------------------------------------
// scalar function : just add a _s
template <typename Variable, typename Opt> struct h5_name<Variable, scalar_valued, Opt> {
static std::string invoke() { return h5_name<Variable, matrix_valued, Opt>::invoke() + "_s"; }
};
// the h5 write and read of gf members, so that we can specialize it e.g. for block gf
template <typename Variable, typename Target, typename Opt> struct h5_rw {
static void write(h5::group gr, gf_const_view<Variable, Target, Opt> g) {
h5_write(gr, "data", g._data);
h5_write(gr, "singularity", g._singularity);
h5_write(gr, "mesh", g._mesh);
h5_write(gr, "symmetry", g._symmetry);
}
template <bool B> static void read(h5::group gr, gf_impl<Variable, Target, Opt, B, false> &g) {
h5_read(gr, "data", g._data);
h5_read(gr, "singularity", g._singularity);
h5_read(gr, "mesh", g._mesh);
h5_read(gr, "symmetry", g._symmetry);
}
};
} // gfs_implementation
}}
// same as for arrays : views can not be swapped by the std::swap. Delete it
namespace std {
template <typename Variable, typename Target, typename Opt, bool C1, bool C2>
void swap(triqs::gfs::gf_view<Variable, Target, Opt, C1> &a, triqs::gfs::gf_view<Variable, Target, Opt, C2> &b) = delete;
}
#include "./gf_expr.hpp"
#endif