mirror of
https://github.com/triqs/dft_tools
synced 2024-12-26 06:14:14 +01:00
8c725f8d5e
- h5/make_h5.... only used in parameters. - old boost includes before C++11 - remove boost serialization, make macro TRIQS_MAKE_NVP temporarely - remove boost::is_complex (can be written in 2 lines...) - move some lib in cpp
157 lines
8.7 KiB
C++
157 lines
8.7 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_ASSIGN2_H_
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#define TRIQS_ARRAYS_ASSIGN2_H_
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#include "iterator_adapter.hpp"
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#include "../indexmaps/cuboid/foreach.hpp"
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#include "../storages/memcopy.hpp"
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namespace triqs { namespace arrays {
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namespace Tag {struct indexmap_storage_pair{}; }// defined here since needed below...
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namespace assignment { template<typename LHS, typename RHS, char OP, typename Enable = void> struct impl; }
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// puts the contents of RHS into LHS. LHS must be an indexmap_storage_pair
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// it is specialized in various cases for optimisation.
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template<typename LHS, typename RHS>
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void triqs_arrays_assign_delegation (LHS & lhs, const RHS & rhs ) {
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static_assert( !LHS::is_const, "Can not assign to a const view !");
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assignment::impl<LHS, RHS, 'E'>(lhs, rhs).invoke();
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}
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template<typename LHS, typename RHS, char OP>
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void triqs_arrays_compound_assign_delegation (LHS & lhs, const RHS & rhs, char_<OP> ) {
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static_assert( !LHS::is_const, "Can not apply a compound operator to a const view !");
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assignment::impl<LHS, RHS, OP>(lhs, rhs).invoke();
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}
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#define TRIQS_DEFINE_COMPOUND_OPERATORS(MYTYPE)\
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template<typename RHS> MYTYPE & operator +=(RHS const & rhs) { triqs_arrays_compound_assign_delegation (*this,rhs, char_<'A'>()); return *this;}\
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template<typename RHS> MYTYPE & operator -=(RHS const & rhs) { triqs_arrays_compound_assign_delegation (*this,rhs, char_<'S'>()); return *this;}\
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template<typename RHS> MYTYPE & operator *=(RHS const & rhs) { triqs_arrays_compound_assign_delegation (*this,rhs, char_<'M'>()); return *this;}\
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template<typename RHS> MYTYPE & operator /=(RHS const & rhs) { triqs_arrays_compound_assign_delegation (*this,rhs, char_<'D'>()); return *this;}
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#define TRIQS_DELETE_COMPOUND_OPERATORS(MYTYPE)\
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template<typename RHS> MYTYPE & operator +=(RHS const & rhs) = delete;\
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template<typename RHS> MYTYPE & operator -=(RHS const & rhs) = delete;\
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template<typename RHS> MYTYPE & operator *=(RHS const & rhs) = delete;\
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template<typename RHS> MYTYPE & operator /=(RHS const & rhs) = delete;
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// -------- IMPLEMENTATION ----------------------------
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namespace assignment {
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template<typename A,typename B, char OP> struct _ops_;
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template<typename A,typename B> struct _ops_ <A,B,'E'> { static void invoke (A & a, B const & b) { a =b;} };
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template<typename A,typename B> struct _ops_ <A,B,'A'> { static void invoke (A & a, B const & b) { a+=b;} };
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template<typename A,typename B> struct _ops_ <A,B,'S'> { static void invoke (A & a, B const & b) { a-=b;} };
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template<typename A,typename B> struct _ops_ <A,B,'M'> { static void invoke (A & a, B const & b) { a*=b;} };
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template<typename A,typename B> struct _ops_ <A,B,'D'> { static void invoke (A & a, B const & b) { a/=b;} };
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// RHS is considered to be an indexmap_storage_pair if it is one, ... except if it is the scalar type of hte LHS
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// think about an Array< Array<T,2> > e.g.
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template<class RHS,class LHS> struct is_isp :
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std::integral_constant<bool, std::is_base_of<Tag::indexmap_storage_pair,RHS>::value && (!is_scalar_for<RHS,LHS>::value) > {};
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#define TRIQS_REJECT_ASSIGN_TO_CONST \
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static_assert( (!std::is_const<typename LHS::value_type>::value ), "Assignment : The value type of the LHS is const and can not be assigned to !");
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#define TRIQS_REJECT_MATRIX_COMPOUND_MUL_DIV_NON_SCALAR\
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static_assert( (!((OP=='M' || OP=='D') && MutableMatrix<LHS>::value && (!is_scalar_for<RHS,LHS>::value))),\
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"*= and /= operator for non scalar RHS are deleted for a type modeling MutableMatrix (e.g. matrix, matrix_view) matrix, because this is ambiguous");
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// ----------------- standard assignment for indexmap_storage_pair --------------------------------------------------
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template<typename LHS, typename RHS, char OP>
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struct impl<LHS,RHS, OP, ENABLE_IF(is_isp< RHS,LHS>) > {
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TRIQS_REJECT_ASSIGN_TO_CONST;
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TRIQS_REJECT_MATRIX_COMPOUND_MUL_DIV_NON_SCALAR;
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typedef typename LHS::value_type value_type;
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typedef typename LHS::indexmap_type indexmap_type;
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LHS & lhs; const RHS & rhs;
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typedef typename std::remove_cv<value_type>::type v_t;
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impl(LHS & lhs_, const RHS & rhs_): lhs(lhs_), rhs(rhs_) {}
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template<typename ... Args> void operator()(Args const & ... args) const {
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_ops_<typename std::remove_cv<value_type>::type, typename RHS::value_type, OP>::invoke(lhs(args...), rhs(args...)) ;}
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void invoke () {
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#ifdef TRIQS_ARRAYS_DEBUG
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if (!indexmaps::compatible_for_assignment(lhs.indexmap(), rhs.indexmap())) TRIQS_RUNTIME_ERROR<< "Size mismatch in operation "<<OP <<" : LHS "<< lhs << " \n RHS = "<< rhs;
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#endif
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if (( (OP=='E') && indexmaps::raw_copy_possible(lhs.indexmap(), rhs.indexmap()))) {
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storages::memcopy(lhs.data_start(), rhs.data_start(), rhs.indexmap().domain().number_of_elements());
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}
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else { foreach(lhs,*this); }
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}
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};
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// ----------------- assignment for expressions RHS --------------------------------------------------
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template<typename LHS, typename RHS, char OP>
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struct impl<LHS,RHS,OP, ENABLE_IFC( ImmutableCuboidArray<RHS>::value && (!is_scalar_for<RHS,LHS>::value) && (!is_isp<RHS,LHS>::value)) > {
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TRIQS_REJECT_ASSIGN_TO_CONST;
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TRIQS_REJECT_MATRIX_COMPOUND_MUL_DIV_NON_SCALAR;
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typedef typename LHS::value_type value_type;
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LHS & lhs; const RHS & rhs;
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impl(LHS & lhs_, const RHS & rhs_): lhs(lhs_), rhs(rhs_) {} //, p(*(lhs_.data_start())) {}
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template<typename ... Args> void operator()(Args const & ... args) const { _ops_<value_type, typename RHS::value_type, OP>::invoke(lhs(args...),rhs(args...));}
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void invoke() { foreach(lhs,*this); }
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};
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// ----------------- assignment for scalar RHS, except some matrix case --------------------------------------------------
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template<typename LHS, typename RHS, char OP>
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struct impl<LHS,RHS,OP, ENABLE_IFC(is_scalar_for<RHS,LHS>::value && (!(MutableMatrix<LHS>::value && (OP=='A'||OP=='S'||OP=='E') ))) >{
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TRIQS_REJECT_ASSIGN_TO_CONST;
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typedef typename LHS::value_type value_type;
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LHS & lhs; const RHS & rhs;
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impl(LHS & lhs_, const RHS & rhs_): lhs(lhs_), rhs(rhs_){}//, p(*(lhs_.data_start())) {}
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template<typename ... Args> void operator()(Args const & ...args) const {_ops_<value_type, RHS, OP>::invoke(lhs(args...), rhs);}
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void invoke() { foreach(lhs,*this); }
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};
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// ----------------- assignment for scalar RHS for Matrices --------------------------------------------------
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template <typename T, int R> bool kronecker(mini_vector<T,R> const & key) { return ( (R==2) && (key[0]==key[1]));}
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template <typename T> bool kronecker(T const & x0, T const & x1) { return ( (x0==x1));}
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// Specialisation for Matrix Classes : scalar is a unity matrix, and operation is E, A, S, but NOT M, D
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template<typename LHS, typename RHS, char OP>
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struct impl<LHS,RHS,OP, ENABLE_IFC(is_scalar_for<RHS,LHS>::value && (MutableMatrix<LHS>::value && (OP=='A'||OP=='S'||OP=='E')))> {
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TRIQS_REJECT_ASSIGN_TO_CONST;
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typedef typename LHS::value_type value_type;
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LHS & lhs; const RHS & rhs;
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impl(LHS & lhs_, const RHS & rhs_): lhs(lhs_), rhs(rhs_){} //, p(*(lhs_.data_start())) {}
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// we MUST make off_diag like this, if value_type is a complicated type (i.e. gf, matrix) with a size
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// off diagonal element is 0*rhs, i.e. a 0, but with the SAME SIZE as the diagonal part.
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// otherwise further operation may fail later.
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// TO DO : look at performance issue ?? (we can remote the multiplication by 0 using an auxiliary function)
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template<typename ... Args>
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void operator()(Args const & ... args) const {_ops_<value_type, RHS, OP>::invoke(lhs(args...), (kronecker(args...) ? rhs : RHS{0*rhs}));}
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void invoke() { foreach(lhs,*this); }
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};
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#undef TRIQS_REJECT_MATRIX_COMPOUND_MUL_DIV_NON_SCALAR
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#undef TRIQS_REJECT_ASSIGN_TO_CONST
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}// assignment
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}}//namespace triqs::arrays
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#endif
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