mirror of
https://github.com/triqs/dft_tools
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39edb2f846
- 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
96 lines
5.3 KiB
C++
96 lines
5.3 KiB
C++
/*******************************************************************************
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*
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* TRIQS: a Toolbox for Research in Interacting Quantum Systems
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*
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* Copyright (C) 2011 by O. Parcollet
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*
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* TRIQS is free software: you can redistribute it and/or modify it under the
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* terms of the GNU General Public License as published by the Free Software
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* Foundation, either version 3 of the License, or (at your option) any later
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* version.
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*
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* TRIQS is distributed in the hope that it will be useful, but WITHOUT ANY
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* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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* FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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* details.
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*
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* You should have received a copy of the GNU General Public License along with
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* TRIQS. If not, see <http://www.gnu.org/licenses/>.
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*
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******************************************************************************/
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#ifndef TRIQS_ARRAYS_MATRIX_VIEW_PROXY_H
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#define TRIQS_ARRAYS_MATRIX_VIEW_PROXY_H
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#include <boost/preprocessor/repetition/enum.hpp>
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#include <boost/preprocessor/repetition/enum_trailing.hpp>
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#include <boost/preprocessor/repetition/repeat.hpp>
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namespace triqs { namespace arrays {
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template<typename ArrayType,int Pos > class matrix_view_proxy;
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template<typename ArrayType,int Pos > class const_matrix_view_proxy;
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#define AUX0(z,P,NNN) std::forward<A##P>(a##P),
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#define AUX1(z,P,NNN) A##P && a##P,
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#define TEXT(z, n, text) text
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#define IMPL(z, POS, unused)\
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template<typename ArrayType > class const_matrix_view_proxy<ArrayType,POS> : TRIQS_CONCEPT_TAG_NAME(ImmutableMatrix) {\
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static_assert(ArrayType::rank==3, "Only array of rank 3 here");\
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ArrayType const * A; size_t n;\
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public :\
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typedef typename ArrayType::value_type value_type;\
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const_matrix_view_proxy (ArrayType const & A_, size_t n_=0) : A(&A_), n(n_){}\
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typedef indexmaps::slicer<typename ArrayType::indexmap_type BOOST_PP_ENUM_TRAILING(POS, TEXT, range),size_t,ellipsis> slicer_t;\
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typedef typename slicer_t::r_type indexmap_type;\
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typedef typename indexmap_type::domain_type domain_type;\
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indexmap_type indexmap() const { return slicer_t::invoke(A->indexmap() BOOST_PP_ENUM_TRAILING(POS, TEXT, range()),n, ellipsis()); }\
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domain_type domain() const { return indexmap().domain();}\
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friend size_t get_shape (const_matrix_view_proxy const & x) { return get_shape(*x.A);}\
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friend size_t first_dim (const_matrix_view_proxy const & x) { return get_shape(*x.A)[(POS+1)%3];}\
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friend size_t second_dim(const_matrix_view_proxy const & x) { return get_shape(*x.A)[(POS+2)%3];}\
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typename ArrayType::storage_type const & storage() const { return A->storage();}\
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value_type const * restrict data_start() const { return &storage()[indexmap().start_shift()];}\
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value_type * restrict data_start() { return &storage()[indexmap().start_shift()];}\
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matrix_view<value_type> operator()() const {return *this;}\
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TRIQS_DELETE_COMPOUND_OPERATORS(const_matrix_view_proxy);\
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template<BOOST_PP_ENUM_PARAMS(POS,typename A) BOOST_PP_COMMA_IF(POS) typename ... Args>\
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value_type const & operator() (BOOST_PP_REPEAT(POS,AUX1,nil) Args && ... args) const \
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{ return (*A)(BOOST_PP_REPEAT(POS,AUX0,nil) n,std::forward<Args>(args)...);}\
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friend std::ostream & operator <<(std::ostream & out, const_matrix_view_proxy const & x) { return out << matrix_view<value_type>(x);}\
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};\
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\
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template<typename ArrayType > class matrix_view_proxy<ArrayType,POS> : TRIQS_CONCEPT_TAG_NAME(MutableMatrix) {\
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static_assert(ArrayType::rank==3, "Only array of rank 3 here");\
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ArrayType * A; size_t n;\
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public :\
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typedef typename ArrayType::value_type value_type;\
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matrix_view_proxy (ArrayType & A_, size_t n_=0) : A(&A_), n(n_){}\
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typedef indexmaps::slicer<typename ArrayType::indexmap_type BOOST_PP_ENUM_TRAILING(POS, TEXT, range),size_t,ellipsis> slicer_t;\
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typedef typename slicer_t::r_type indexmap_type;\
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typedef typename indexmap_type::domain_type domain_type;\
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indexmap_type indexmap() const { return slicer_t::invoke(A->indexmap() BOOST_PP_ENUM_TRAILING(POS, TEXT, range()),n, ellipsis()); }\
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domain_type domain() const { return indexmap().domain();}\
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friend size_t get_shape (matrix_view_proxy const & x) { return get_shape(*x.A);}\
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friend size_t first_dim (matrix_view_proxy const & x) { return get_shape(*x.A)[(POS+1)%3];}\
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friend size_t second_dim(matrix_view_proxy const & x) { return get_shape(*x.A)[(POS+2)%3];}\
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typename ArrayType::storage_type const & storage() const { return A->storage();}\
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value_type const * restrict data_start() const { return &storage()[indexmap().start_shift()];}\
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value_type * restrict data_start() { return &storage()[indexmap().start_shift()];}\
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matrix_view<value_type> operator()() const {return *this;}\
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template<typename RHS> matrix_view_proxy & operator=(const RHS & X) {triqs_arrays_assign_delegation(*this,X); return *this; }\
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TRIQS_DEFINE_COMPOUND_OPERATORS(matrix_view_proxy);\
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template<BOOST_PP_ENUM_PARAMS(POS,typename A) BOOST_PP_COMMA_IF(POS) typename ... Args>\
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value_type & operator() (BOOST_PP_REPEAT(POS,AUX1,nil) Args && ... args) const\
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{ return (*A)(BOOST_PP_REPEAT(POS,AUX0,nil) n,std::forward<Args>(args)...);}\
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friend std::ostream & operator <<(std::ostream & out, matrix_view_proxy const & x) { return out << matrix_view<value_type>(x);}\
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};
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BOOST_PP_REPEAT(ARRAY_NRANK_MAX , IMPL, nil);
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#undef IMPL
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#undef AUX0
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#undef AUX1
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#undef TEXT
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}}
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#endif
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