3
0
mirror of https://github.com/triqs/dft_tools synced 2024-11-01 11:43:47 +01:00
dft_tools/triqs/utility/mini_vector.hpp

182 lines
6.4 KiB
C++
Raw Normal View History

/*******************************************************************************
*
* TRIQS: a Toolbox for Research in Interacting Quantum Systems
*
* Copyright (C) 2011 by 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_ARRAYS_MINI_VECTOR_H
#define TRIQS_ARRAYS_MINI_VECTOR_H
#include "./first_include.hpp"
#include <iostream>
#include "./compiler_details.hpp"
#include "./exceptions.hpp"
#include <boost/serialization/utility.hpp>
#include <boost/preprocessor/repetition/repeat.hpp>
#include <boost/preprocessor/repetition/enum_params.hpp>
#include <vector>
#include <triqs/utility/tuple_tools.hpp>
#define TRIQS_MINI_VECTOR_NRANK_MAX 10
#define TRIQS_MAKE_NVP(NAME,X) X
//#define TRIQS_MAKE_NVP(NAME,X) boost::serialization::make_nvp(NAME,X)
namespace triqs { namespace utility {
template <typename T, int Rank>
class mini_vector {
T _data[(Rank!=0 ? Rank : 1)];
friend class boost::serialization::access;
template<class Archive> void serialize(Archive & ar, const unsigned int version) { ar & TRIQS_MAKE_NVP("_data",_data); }
void init() { for (int i=0;i<Rank; ++i) _data[i] = 0;}
public :
typedef T value_type;
mini_vector(){init();}
#define AUX(z,p,unused) _data[p] = x_##p;
#define IMPL(z, NN, unused) \
[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
mini_vector (BOOST_PP_ENUM_PARAMS(BOOST_PP_INC(NN), T x_)){ \
static_assert(Rank-1==NN,"mini_vector : incorrect number of variables in constructor");\
BOOST_PP_REPEAT(BOOST_PP_INC(NN),AUX,nil) }
BOOST_PP_REPEAT(TRIQS_MINI_VECTOR_NRANK_MAX , IMPL, nil);
#undef IMPL
#undef AUX
mini_vector(const mini_vector & x){ *this = x; }
mini_vector(mini_vector && x){ *this = std::move(x); }
template<typename T2> mini_vector(const mini_vector<T2,Rank> & x){ *this = x; }
mini_vector(const std::vector<T> & v){
if (v.size()!=Rank)
TRIQS_RUNTIME_ERROR<< "mini_vector construction : vector size incorrect : expected "<<Rank<<" got : "<< v.size();
for (int i=0;i<Rank; ++i) _data[i] = v[i];
}
mini_vector & operator=(const mini_vector & x){ for (int i=0;i<Rank; ++i) _data[i] = x._data[i]; return *this;}
mini_vector & operator=(mini_vector && x) = default;
friend void swap(mini_vector & a, mini_vector & b) { std::swap(a._data, b._data);}
int size() const { return Rank;}
template<typename T2>
mini_vector & operator=(const mini_vector<T2,Rank> & x){ for (int i=0;i<Rank; ++i) _data[i] = x[i]; return *this;}
T & operator[](size_t i) { return _data[i];}
const T & operator[](size_t i) const { return _data[i];}
std::vector<T> to_vector () const { std::vector<T> V(Rank); for (int i=0;i<Rank; ++i) V[i] = _data[i]; return V; }
T product_of_elements () const { T res=1; for (int i=0;i<Rank; ++i) res *= _data[i]; return res; }
T * restrict ptr() { return _data;}
const T * restrict ptr() const { return _data;}
std::string to_string() const {
std::stringstream fs;
fs <<"(";
for (int i=0;i<Rank; ++i) fs<<(i==0? "" : " ") << (*this)[i];
fs<<")";
return fs.str();
}
mini_vector<T, Rank+1> append (T const & x) const {
mini_vector<T, Rank+1> res;
for (int i=0;i<Rank; ++i) res[i]=_data[i];
res[Rank] = x;
return res;
}
mini_vector<T, Rank+1> front_append (T const & x) const {
mini_vector<T, Rank+1> res;
for (int i=0;i<Rank; ++i) res[i+1]=_data[i];
res[0] = x;
return res;
}
mini_vector<T, Rank-1> pop () const {
mini_vector<T, Rank-1> res;
for (int i=0;i<Rank-1; ++i) res[i]=_data[i];
return res;
}
mini_vector<T, Rank-1> front_pop () const {
mini_vector<T, Rank-1> res;
for (int i=1;i<Rank; ++i) res[i-1]=_data[i];
return res;
}
friend std::ostream & operator << ( std::ostream & out, mini_vector const & v ) {return out<<v.to_string();}
friend std::stringstream & operator << ( std::stringstream & out, mini_vector const & v ) { out<<v.to_string(); return out;}
}; // class mini_vector
// ------------ specialization for size 0 -------------
template <typename T> class mini_vector<T, 0> {
T _data[1];
public:
T & operator[](size_t i) { return _data[i];}
const T & operator[](size_t i) const { return _data[i];}
};
// ------------- Comparison --------------------------------------
template <typename T, int R>
bool operator ==(mini_vector<T,R> const & v1, mini_vector<T,R> const & v2) {
for (int i=0;i<R; ++i) { if (v1[i]!=v2[i]) return false;}
return true;
}
template <typename T, int R> bool operator !=(mini_vector<T,R> const & v1, mini_vector<T,R> const & v2) { return (!(v1==v2));}
// ------------- join --------------------------------------
template <typename T1, typename T2, int R1, int R2>
mini_vector<T1, R1+R2> join (mini_vector<T1,R1> const & v1, mini_vector<T2,R2> const & v2) {
mini_vector<T1, R1+R2> res;
for (int i=0;i<R1; ++i) res[i]=v1[i];
for (int i=0;i<R2; ++i) res[R1+i]=v2[i];
return res;
}
// ------------- dot --------------------------------------
template <typename T1, typename T2, int Rank>
T1 dot_product(mini_vector<T1,Rank> const & v1, mini_vector<T2,Rank> const & v2) {
T1 res=0;
for (int i=0;i<Rank; ++i) res += v1[i]*v2[i];
return res;
}
#ifndef TRIQS_C11
// ------------- transform a tuple into a minivector --------------------------------------
template <typename T, typename TU> mini_vector<T, std::tuple_size<TU>::value> tuple_to_mini_vector(TU const &t) {
return tuple::apply_construct_parenthesis<mini_vector<T, std::tuple_size<TU>::value>>(t);
}
#endif
}}//namespace triqs::arrays
namespace std { // overload std::get to work with it
template <int i, typename T, int R> AUTO_DECL get(triqs::utility::mini_vector<T, R> &v) RETURN(v[i]);
template <int i, typename T, int R> AUTO_DECL get(triqs::utility::mini_vector<T, R> const &v) RETURN(v[i]);
}
#endif