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
87 lines
3.9 KiB
C++
87 lines
3.9 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) 2013 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_STACK_VIEW_H
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#define TRIQS_ARRAYS_MATRIX_STACK_VIEW_H
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#include "./array.hpp"
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#include "./matrix.hpp"
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#include "./matrix_tensor_proxy.hpp"
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#include <triqs/arrays/linalg/det_and_inverse.hpp>
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namespace triqs { namespace arrays {
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template<typename T> class matrix_stack_view {
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array_view<T,3> a;
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public:
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typedef array_view<T,3> array_view_t;
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matrix_stack_view( typename array_view_t::view_type const & a_):a(a_) {}
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matrix_stack_view( array_view_t && a_):a(std::move(a_)) {}
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#ifdef TRIQS_WITH_PYTHON_SUPPORT
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/// Build from a numpy.array (X is a borrowed reference) : throws if X is not a numpy.array
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explicit matrix_stack_view (PyObject * X):a(typename array_view_t::view_type (X)){}
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#endif
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//matrix_view_proxy <array_view_t,0> operator()(size_t i) { return matrix_view_proxy <array_view_t,0>(a,i);}
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//const_matrix_view_proxy<array_view_t,0> operator()(size_t i) const { return const_matrix_view_proxy <array_view_t,0>(a,i);}
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auto operator()(long i) DECL_AND_RETURN(make_matrix_proxy(this->a, i));
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auto operator()(long i) const DECL_AND_RETURN(make_const_matrix_proxy(this->a, i));
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matrix_view<T> view(size_t i) const { return a(i,range(),range());}
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size_t size() const { return a.shape(0);}
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// BE CAREFUL to the shift : it is 1, 2, not 0,1, because of the stack !
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friend size_t first_dim (matrix_stack_view const & m) { return second_dim(m.a);}
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friend size_t second_dim (matrix_stack_view const & m) { return third_dim(m.a);}
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matrix_stack_view & operator +=(matrix_stack_view const & arg) { a += arg.a; return *this; }
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matrix_stack_view & operator -=(matrix_stack_view const & arg) { a -= arg.a; return *this; }
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template<typename RHS>
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typename std::enable_if<RHS::rank ==2, matrix_stack_view &>::type
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operator +=(RHS const & arg) { for (size_t i=0; i<size(); ++i) view(i) +=arg; return *this; }
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template<typename RHS>
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typename std::enable_if<RHS::rank ==2, matrix_stack_view &>::type
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operator -=(RHS const & arg) { for (size_t i=0; i<size(); ++i) view(i) -=arg; return *this; }
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template<typename RHS> matrix_stack_view & operator *=(RHS const & arg) { a*= arg; return *this; }
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template<typename RHS> matrix_stack_view & operator /=(RHS const & arg) { a/= arg; return *this; }
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void invert() {for (size_t i=0; i<size(); ++i) { auto v = view(i); v = inverse(v);} }
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friend matrix_stack_view matmul_L_R ( matrix_view<T> const & L, matrix_stack_view const & M, matrix_view<T> const & R) {
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matrix_stack_view res (typename array_view_t::regular_type (M.size(), first_dim(L), second_dim(R)));
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for (size_t i=0; i<M.size(); ++i) { res.view(i) = L * M.view(i) * R; }
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return res;
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}
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void onsite_matmul_L_R ( matrix_view<T> const & L, matrix_stack_view const & M, matrix_view<T> const & R) {
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if ((first_dim(*this) != first_dim(L)) || (second_dim(*this) != second_dim(R)) || (second_dim(L) != first_dim(R)))
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TRIQS_RUNTIME_ERROR << "dimensions do not match!";
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for (size_t i=0; i<M.size(); ++i) { view(i) = L * M.view(i) * R; }
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}
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};
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}}
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#endif
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