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https://github.com/triqs/dft_tools
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cfe3532c94
- implement transposed_view for arrays. - .transpose method for gf - wrapped to python - add call op. for GfImTime, using C++ - Added ChangeLog - rm matrix_stack - start cleaning old code
216 lines
10 KiB
C++
216 lines
10 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_INDEXMAP_CUBOID_MAP_H
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#define TRIQS_ARRAYS_INDEXMAP_CUBOID_MAP_H
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#include "./domain.hpp"
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#include "./mem_layout.hpp"
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#include "../../impl/flags.hpp"
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#include <vector>
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#include <boost/iterator/iterator_facade.hpp>
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namespace triqs { namespace arrays { namespace indexmaps { namespace cuboid {
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template< bool BC, class D, class K> struct _chk;
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template< class D, class K> struct _chk<true, D, K> { static void invoke (D const & d, K const & k) {d.assert_key_in_domain(k);} };
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template< class D, class K> struct _chk<false, D, K> { static void invoke (D const & d, K const & k) {} };
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template< bool BC, class D, class ... K> struct _chk_v;
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template< class D, class ... K> struct _chk_v<true, D, K...> { static void invoke (D const & d, K const & ... k) {d.assert_key_in_domain_v(k...);} };
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template< class D, class ... K> struct _chk_v<false, D, K...> { static void invoke (D const & d, K const & ... k) {} };
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template<int Rank> ull_t memory_layout_from_strides(mini_vector<std::ptrdiff_t, Rank> const & strides) {
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int c[Rank]; for (size_t i=0; i<Rank; ++i) c[i]=0;
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for (size_t i=0; i<Rank; ++i)
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for (size_t j=i+1; j<Rank; ++j)
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if (strides[i] > strides[j]) c[i]++; else c[j]++;
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// we computed the map : index -> memory_rank, which is the inverse map, cf mem_layout
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return permutations::inverse(permutations::permutation_from_array(c, Rank));
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}
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/** Standard hyper_rectangular arrays, implementing the IndexMap concept.
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*/
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template<int Rank, ull_t OptionsFlags, ull_t TraversalOrder >
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class map {
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public :
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static constexpr bool CheckBounds = flags::bound_check_trait<OptionsFlags>::value;
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static constexpr ull_t traversal_order_in_template = TraversalOrder;
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static constexpr ull_t traversal_order = indexmaps::mem_layout::get_traversal_order<Rank, OptionsFlags, TraversalOrder>::value;
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typedef void has_traversal_order_tag;
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static const unsigned int rank = Rank;
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typedef mini_vector<size_t,rank> lengths_type;
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typedef mini_vector<std::ptrdiff_t, rank> strides_type;
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typedef domain_t<Rank> domain_type;
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domain_type const & domain() const { return mydomain;}
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// semi-regular type
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map (): start_shift_(0), memory_order_(memory_layout<Rank>(traversal_order)) {}
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map (map const & C) = default;
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map (map && C) = default;
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map & operator = (map const & m) = default;
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map & operator = (map && m) = default;
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// basic construction
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map(memory_layout<Rank> const & ml):mydomain(), start_shift_(0), memory_order_(ml) {}
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map(domain_type const & C): mydomain(C), start_shift_(0), memory_order_(traversal_order) {compute_stride_compact();}
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map(domain_type const & C, memory_layout<Rank> ml): mydomain(C), start_shift_(0), memory_order_(ml) {compute_stride_compact();}
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/// Construction from the length, the stride, start_shift
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map(lengths_type Lengths, strides_type strides, std::ptrdiff_t start_shift ):
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mydomain(std::move(Lengths)), strides_(std::move(strides)), start_shift_(start_shift),
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memory_order_ (memory_layout_from_strides(strides_)) {}
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/// Construction from the length, the stride, start_shift, ml
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map(lengths_type Lengths, strides_type strides, std::ptrdiff_t start_shift, memory_layout<Rank> const & ml ):
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mydomain(std::move(Lengths)), strides_(std::move(strides)), start_shift_(start_shift), memory_order_ (ml) {}
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/// Construction from another map with the same order (used in grouping indices)
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template<ull_t Opt2, ull_t To2> map (map<Rank,Opt2,To2> const & C):
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mydomain(C.domain()), strides_(C.strides()), start_shift_(C.start_shift()), memory_order_ (C.memory_indices_layout()) {}
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// transposition
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template <typename... INT> friend map transpose(map const& m, INT... is) {
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return map{{m.domain().lengths()[is]...}, {m.strides_[is]...}, m.start_shift_, transpose(m.memory_order_, is...)};
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}
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/// Returns the shift in position of the element key.
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template <typename KeyType>
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size_t operator[] (KeyType const & key ) const {
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_chk<CheckBounds, domain_type, KeyType>::invoke (this->domain(),key);
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return start_shift_ + dot_product(key,this->strides());
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}
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friend std::ostream & operator << (std::ostream & out, const map & P) {
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return out <<" ordering = {"<<P.memory_indices_layout()<<"}"<<std::endl
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<<" Lengths : "<<P.lengths() << std::endl
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<<" Stride : "<<P.strides_ << std::endl;
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}
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template<typename ... Args> size_t operator()(Args const & ... args) const {
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_chk_v<CheckBounds, domain_type, Args...>::invoke (this->domain(),args...);
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return start_shift_ + _call_impl<0>(args...);
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}
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private :
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template<int N, typename Arg0, typename ... Args>
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size_t _call_impl( Arg0 const & arg0, Args const & ... args) const { return arg0* strides_[N] + _call_impl<N+1>(args...); }
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template<int N> size_t _call_impl() const { return 0;}
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public:
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///
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bool is_contiguous() const {
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const size_t last_index = mem_layout::memory_rank_to_index(memory_order_.value, rank-1);
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return (strides()[last_index] * this->lengths()[last_index] == mydomain.number_of_elements());
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}
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size_t start_shift() const { return start_shift_;}
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lengths_type const & lengths() const { return mydomain.lengths();}
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strides_type const & strides() const { return this->strides_;}
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memory_layout<Rank> const & memory_indices_layout() const { return memory_order_;}
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memory_layout<Rank> traversal_order_indices_layout() const { return memory_layout<Rank>(traversal_order);}
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ull_t memory_indices_layout_ull() const { return memory_order_.value;}
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bool memory_layout_is_c() const { return memory_indices_layout().value == mem_layout::c_order(Rank);}
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bool memory_layout_is_fortran() const { return memory_indices_layout().value == mem_layout::fortran_order(Rank);}
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private :
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domain_type mydomain;
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strides_type strides_;
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std::ptrdiff_t start_shift_;
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memory_layout<Rank> memory_order_;
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// BOOST Serialization
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friend class boost::serialization::access;
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template<class Archive> void serialize(Archive & ar, const unsigned int version) {
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ar & TRIQS_MAKE_NVP("domain",mydomain);
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ar & TRIQS_MAKE_NVP("strides",strides_);
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ar & TRIQS_MAKE_NVP("start_shift",start_shift_);
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}
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// for construction
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void compute_stride_compact() {
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size_t str = 1;
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csc_impl(memory_order_.value, str, std::integral_constant<int,rank>());
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assert(this->domain().number_of_elements()==str);
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}
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template<int v>
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void csc_impl(ull_t order, size_t & str, std::integral_constant<int,v>) {
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size_t u = mem_layout::memory_rank_to_index(order, rank-v);
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this->strides_[u] = str;
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str *= this->lengths() [u];
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csc_impl(order, str, std::integral_constant<int,v-1>());
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}
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void csc_impl(ull_t order,size_t & str, std::integral_constant<int,0>) {}
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public:
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/**
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* Iterator on a cuboid_map, modeling the IndexMapIterator concept.
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* Iteration order is the order in which to iterate on the indices.
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* It is given by a permutation, with the same convention as IndexOrder.
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*/
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class iterator : public boost::iterator_facade< iterator, const std::ptrdiff_t, boost::forward_traversal_tag > {
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public:
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typedef map indexmap_type;
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typedef typename domain_type::index_value_type indices_type;
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typedef const std::ptrdiff_t return_type;
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iterator (): im(NULL), pos(0),atend(true) {}
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iterator (const map & P, bool atEnd=false, ull_t iteration_order=0):
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im(&P), pos(im->start_shift()),atend(atEnd) {}
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indices_type const & indices() const { return indices_tuple; }
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operator bool() const { return !atend;}
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private:
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friend class boost::iterator_core_access;
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void increment(){ inc_ind_impl (std::integral_constant<int,Rank>()); }
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template<int v> inline void inc_ind_impl(std::integral_constant<int,v>) {
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constexpr size_t p = mem_layout::memory_rank_to_index(traversal_order, rank-v);
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#ifdef TRIQS_ARRAYS_ENFORCE_BOUNDCHECK
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if (atend) TRIQS_RUNTIME_ERROR << "Iterator in cuboid can not be pushed after end !";
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#endif
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if (indices_tuple[p] < im->lengths()[p]-1) { ++(indices_tuple[p]); pos += im->strides()[p]; return; }
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indices_tuple[p] = 0;
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pos -= (im->lengths()[p]-1) * im->strides()[p];
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inc_ind_impl (std::integral_constant<int,v-1>());
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}
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inline void inc_ind_impl(std::integral_constant<int,0>) { atend = true;}
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bool equal(iterator const & other) const {return ((other.im==im)&&(other.atend==atend)&&(other.pos==pos));}
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return_type & dereference() const { assert (!atend); return pos; }
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map const * im;
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indices_type indices_tuple;
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std::ptrdiff_t pos;
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bool atend;
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};
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}; //------------- end class ---------------------
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}//namespace cuboid
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template<int R1, int R2, ull_t OptFlags1, ull_t OptFlags2, ull_t To1, ull_t To2>
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bool compatible_for_assignment (const cuboid::map<R1,OptFlags1,To1> & X1, const cuboid::map<R2,OptFlags2,To2> & X2) { return X1.lengths() == X2.lengths();}
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template<int R1, int R2, ull_t OptFlags1, ull_t OptFlags2, ull_t To1, ull_t To2>
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bool raw_copy_possible (const cuboid::map<R1,OptFlags1,To1> & X1,const cuboid::map<R2,OptFlags2,To2> & X2) {
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return ( (X1.memory_indices_layout() == X2.memory_indices_layout())
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&& X1.is_contiguous() && X2.is_contiguous()
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&& (X1.domain().number_of_elements()==X2.domain().number_of_elements()));
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}
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}}}//namespace triqs::arrays::indexmaps
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#endif
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