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dft_tools/triqs/gf/local/tail.hpp

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/*******************************************************************************
*
* TRIQS: a Toolbox for Research in Interacting Quantum Systems
*
* Copyright (C) 2012 by M. Ferrero, 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_GF_LOCAL_TAIL_H
#define TRIQS_GF_LOCAL_TAIL_H
#include <triqs/arrays.hpp>
#include <triqs/arrays/algorithms.hpp>
#include <triqs/gf/tools.hpp>
#include <triqs/python_tools/cython_proxy.hpp>
namespace triqs { namespace gf { namespace local {
namespace details {
static constexpr double small = 1.e-10;
}
namespace tqa= triqs::arrays; namespace tql= triqs::clef; namespace mpl= boost::mpl;
typedef std::complex<double> dcomplex;
class tail; // the value class
class tail_view; // the view class
template<typename G> struct LocalTail : mpl::false_{}; // a boolean trait to identify the objects modelling the concept LocalTail
template<> struct LocalTail<tail > : mpl::true_{};
template<> struct LocalTail<tail_view >: mpl::true_{};
template<> struct LocalTail<python_tools::cython_proxy<tail_view>>: mpl::true_{};
// a trait to find the scalar of the algebra i.e. the true scalar and the matrix ...
template <typename T> struct is_scalar_or_element : mpl::or_< tqa::ImmutableMatrix<T>, utility::is_in_ZRC<T> > {};
// ---------------------- implementation --------------------------------
/// A common implementation class. Idiom : ValueView
template<bool IsView> class tail_impl {
public :
typedef void has_view_type_tag; // Idiom : ValueView
typedef tail_view view_type;
typedef tail non_view_type;
typedef arrays::array <dcomplex,3> data_non_view_type;
typedef arrays::array_view <dcomplex,3> data_view_type;
typedef typename mpl::if_c<IsView, data_view_type, data_non_view_type>::type data_type;
typedef arrays::array<long,2> mask_non_view_type;
typedef arrays::array_view<long,2> mask_view_type;
typedef typename mpl::if_c<IsView, mask_view_type, mask_non_view_type>::type mask_type;
typedef arrays::matrix_view<dcomplex> mv_type;
typedef arrays::matrix_view<dcomplex> const_mv_type;
//typedef arrays::matrix_view<const dcomplex> const_mv_type;
data_view_type data() { return _data;}
const data_view_type data() const { return _data;}
mask_view_type mask_view() { return mask;}
const mask_view_type mask_view() const { return mask;}
long order_min() const {return omin;}
long order_max() const {return min_element(mask);}
size_t size() const {return _data.shape()[0];}
long smallest_nonzero() const {
long om = omin;
while ((om < this->order_max()) && (max_element(abs(_data(om-omin,tqa::range(),tqa::range()))) < details::small)) om++;
return om;
}
typedef tqa::mini_vector<size_t,2> shape_type;
shape_type shape() const { return shape_type(_data.shape()[1], _data.shape()[2]);}
size_t shape(int i) const { return _data.shape()[i];}
bool is_decreasing_at_infinity() const { return (smallest_nonzero() >=1);}
protected:
long omin;
mask_type mask;
data_type _data;
// All constructors
tail_impl(): omin(0), mask(), _data() {} // all arrays of zero size (empty)
tail_impl(size_t N1, size_t N2, size_t size_, long order_min):
omin(order_min), mask(tqa::make_shape(N1,N2)), _data(tqa::make_shape(size_,N1,N2)) {
mask() = order_min+size_-1;
_data() = 0;
}
tail_impl(data_type const &d, long order_min, mask_type const &om): omin(order_min), mask(om), _data(d) {}
// tail_impl(tail_impl const & x): omin(x.omin), mask(x.mask), _data(x._data){}
tail_impl(tail_impl<!IsView> const & x): omin(x.omin), mask(x.mask), _data(x._data){}
tail_impl(tail_impl const &) = default;
tail_impl(tail_impl &&) = default;
friend class tail_impl<!IsView>;
public:
mv_type operator() (int n) {
if (n>this->order_max()) TRIQS_RUNTIME_ERROR<<" n > Max Order. n= "<<n <<", Max Order = "<<order_max() ;
if (n<this->order_min()) TRIQS_RUNTIME_ERROR<<" n < Min Order. n= "<<n <<", Min Order = "<<order_min() ;
return this->_data(n-omin, tqa::range(), tqa::range());
}
const_mv_type operator() (int n) const {
if (n>this->order_max()) TRIQS_RUNTIME_ERROR<<" n > Max Order. n= "<<n <<", Max Order = "<<order_max() ;
if (n<this->order_min()) { mv_type::non_view_type r(this->shape()); r()=0; return r;}
return this->_data(n-omin,tqa::range(), tqa::range());
}
/// same as (), but if n is too large, then returns 0 instead of raising an exception
const_mv_type get_or_zero (int n) const {
if ( (n>this->order_max()) || (n<this->order_min()) ) { mv_type::non_view_type r(this->shape()); r()=0; return r;}
return this->_data(n-omin,tqa::range(), tqa::range());
}
operator freq_infty() const { return freq_infty();}
/// Save in txt file : doc the format ? ---> prefer serialization or hdf5 !
void save(std::string file, bool accumulate=false) const {}
/// Load from txt file : doc the format ?
//void load(std::string file){}
friend std::string get_triqs_hdf5_data_scheme(tail_impl const & g) { return "TailGf";}
///
friend void h5_write (h5::group fg, std::string subgroup_name, tail_impl const & t) {
auto gr = fg.create_group(subgroup_name);
// tagging the hdf5 file
//gr.write_triqs_hdf5_data_scheme(t);
h5_write(gr,"omin",t.omin);
h5_write(gr,"mask",t.mask);
h5_write(gr,"data",t._data);
}
friend void h5_read (h5::group fg, std::string subgroup_name, tail_impl & t){
auto gr = fg.open_group(subgroup_name);
// Check the attribute or throw
//auto tag_file = gr.read_triqs_hdf5_data_scheme();
//auto tag_expected= get_triqs_hdf5_data_scheme(t);
//if (tag_file != tag_expected)
// TRIQS_RUNTIME_ERROR<< "h5_read : mismatch of the tag TRIQS_HDF5_data_scheme tag in the h5 group : found "<<tag_file << " while I expected "<< tag_expected;
h5_read(gr,"omin",t.omin);
h5_read(gr,"mask",t.mask);
h5_read(gr,"data",t._data);
}
// BOOST Serialization
friend class boost::serialization::access;
template<class Archive>
void serialize(Archive & ar, const unsigned int version) {
ar & boost::serialization::make_nvp("omin",omin);
ar & boost::serialization::make_nvp("mask",mask);
ar & boost::serialization::make_nvp("data",_data);
}
friend std::ostream & operator << (std::ostream & out, tail_impl const & x) {
out <<"tail/tail_view: min/smallest/max = "<< x.order_min() << " " << x.smallest_nonzero() << " "<< x.order_max();
for (long u = x.order_min(); u <= x.order_max(); ++u) out <<"\n ... Order "<<u << " = " << x(u);
return out;
}
};
// -----------------------------
///The View class of GF
class tail_view : public tail_impl <true> {
typedef tail_impl <true> B;
friend class tail;
public :
template<bool V> tail_view(tail_impl<V> const & t): B(t){}
tail_view(B::data_type const &d, long order_min, B::mask_type const &om): B(d, order_min, om){}
tail_view(tail_view const &) = default;
tail_view(tail_view &&) = default;
void rebind( tail_view const &X) {
omin = X.omin;
mask.rebind(X.mask);
_data.rebind(X._data);
}
inline void rebind( tail const &X);
//using B::operator=; // import operator = from impl. class or the default = is synthetized
//tail_view & operator=(const tail_view & rhs) { if (this->data.is_empty()) rebind(rhs); else B::operator=(rhs); return *this; }
// operator = for views
tail_view & operator = (const tail_view & rhs) {
if (this->_data.is_empty()) rebind(rhs);
else {
if (rhs.omin < omin) TRIQS_RUNTIME_ERROR<<"rhs has too small omin";
if ((_data.shape()[1] != rhs._data.shape()[1]) || (_data.shape()[2] != rhs._data.shape()[2]))
TRIQS_RUNTIME_ERROR<<"rhs has different shape";
for (size_t i=0; i<mask.shape()[0]; ++i)
for (size_t j=0; j<mask.shape()[1]; ++j)
mask(i,j) = std::min(rhs.mask(i,j), long(omin+size()-1));
for (size_t n=0; n<std::min(size(), size_t(rhs.size()-omin+rhs.omin)); ++n)
if (n < rhs.omin-omin) _data(n,tqa::range(),tqa::range()) = 0.0;
else _data(n,tqa::range(),tqa::range()) = rhs._data(n-rhs.omin+omin,tqa::range(),tqa::range());
}
return *this;
}
inline tail_view & operator=(const tail & rhs);
tail_view & operator=(std::complex<double> const & x) {
if (omin > 0) TRIQS_RUNTIME_ERROR<<"lhs has too large omin";
for (size_t n=0; n<size(); ++n) _data(n, tqa::range(), tqa::range()) = 0.0;
_data(-omin, tqa::range(), tqa::range()) = x;
mask() = omin+size()-1;
return *this;
}
using B::operator(); // import all previously defined operator() for overloading
friend std::ostream & triqs_nvl_formal_print(std::ostream & out, tail_view const & x) { return out<<"tail_view";}
void print_me() const { std::cout << *this << std::endl ; }
};
// -----------------------------
///The regular class
class tail : public tail_impl <false> {
typedef tail_impl <false> B;
friend class tail_view;
public :
tail():B() {}
typedef tqa::mini_vector<size_t,2> shape_type;
tail(size_t N1, size_t N2, size_t size_ = 10, long order_min=-1): B(N1,N2,size_,order_min) {}
tail(shape_type const & sh, size_t size_ = 10, long order_min=-1): B(sh[0],sh[1],size_,order_min) {}
tail(tail const & g): B(g){}
tail(tail_view const & g): B(g){}
tail(tail &&) = default;
// operator = for values
tail & operator = (tail_view const & rhs) {
omin = rhs.omin;
mask = rhs.mask;
_data = rhs._data;
return *this;
}
tail & operator = (tail const & rhs) {
omin = rhs.omin;
mask = rhs.mask;
_data = rhs._data;
return *this;
}
using B::operator();
/// The simplest tail corresponding to : omega
static tail_view omega(size_t N1, size_t N2, size_t size_) {
tail t(N1, N2, size_, -1);
t(-1) = 1;
return t;
}
/// The simplest tail corresponding to : omega, constructed from a shape for convenience
static tail_view omega(tail::shape_type const & sh, size_t size_) { return omega(sh[0],sh[1],size_);}
};
template<typename RHS> void assign_from_expression(tail_view & t,RHS const & rhs) { t = rhs( tail::omega(t.shape(),t.size())); }
inline void tail_view::rebind( tail const &X) {
omin = X.omin;
mask.rebind(X.mask);
_data.rebind(X._data);
}
inline tail_view & tail_view::operator = (const tail & rhs) {
if (this->_data.is_empty()) rebind(rhs);
else {
if (rhs.omin < omin) TRIQS_RUNTIME_ERROR<<"rhs has too small omin";
if ((_data.shape()[1] != rhs._data.shape()[1]) || (_data.shape()[2] != rhs._data.shape()[2]))
TRIQS_RUNTIME_ERROR<<"rhs has different shape";
for (size_t i=0; i<mask.shape()[0]; ++i)
for (size_t j=0; j<mask.shape()[1]; ++j)
mask(i,j) = std::min(rhs.mask(i,j), long(omin+size()-1));
for (size_t n=0; n<std::min(size(),size_t(rhs.size()-omin+rhs.omin)); ++n)
if (n < rhs.omin-omin) _data(n,tqa::range(),tqa::range()) = 0.0;
else _data(n,tqa::range(),tqa::range()) = rhs._data(n-rhs.omin+omin, tqa::range(), tqa::range());
}
return *this;
}
/// Slice in orbital space
template<bool V> tail_view slice_target(tail_impl<V> const & t, tqa::range R1, tqa::range R2) {
return tail_view(t.data()(tqa::range(),R1,R2),t.order_min(),t.mask_view()(R1,R2));
}
inline tail inverse(tail_view const & t) {
// find in t
long omin1 = - t.smallest_nonzero();
long omax1 = t.order_max() + 2*omin1;
size_t si = omax1-omin1+1;
tail t_inv(t.shape(), si, omin1);
t_inv(omin1) = inverse(t(-omin1));
for (size_t n=1; n<si; n++) {
for (size_t p=0; p<n; p++) {
t_inv(omin1 + n) -= t(n-omin1-p) * t_inv(omin1+p);
}
t_inv(omin1 + n) = t_inv(omin1) * make_clone(t_inv(omin1 + n));
}
return t_inv;
}
inline tail mult_impl(tail_view const & l, tail_view const& r) {
if (l.shape()[1] != r.shape()[0]) TRIQS_RUNTIME_ERROR<< "tail multiplication : shape mismatch";
long omin1 = l.smallest_nonzero() + r.smallest_nonzero();
long omax1 = std::min(r.order_max()+l.smallest_nonzero(), l.order_max()+r.smallest_nonzero());
size_t si = omax1-omin1+1;
tail res(l.shape()[0], r.shape()[1], si, omin1);
res.data() =0;
for (long n=res.order_min(); n<=res.order_max(); ++n) {
// sum_{p}^n a_p b_{n-p}. p <= a.n_max, p >= a.n_min and n-p <=b.n_max and n-p >= b.n_min
// hence p <= min ( a.n_max, n-b.n_min ) and p >= max ( a.n_min, n- b.n_max)
const long pmin = std::max(l.smallest_nonzero(), n - r.order_max() );
const long pmax = std::min(l.order_max(), n - r.smallest_nonzero() );
for (long p = pmin; p <= pmax; ++p) { res(n) += l(p) * r(n-p);}
}
return res;
}
template<typename T1, typename T2>
TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, LocalTail<T2>>)
operator* (T1 const & a, T2 const & b) { return mult_impl(a,b); }
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<tqa::ImmutableMatrix<T1>, LocalTail<T2>>)
operator* (T1 const & a, T2 const & b) {
tail res(b); for (long n=res.order_min(); n<=res.order_max(); ++n) res(n)=a*res(n); return res;
}
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, tqa::ImmutableMatrix<T2>>)
operator* (T1 const & a, T2 const & b) {
tail res(a); for (long n=res.order_min(); n<=res.order_max(); ++n) res(n)=res(n)*b; return res;
}
inline tail operator * (dcomplex a, tail_view const & r) { tail res(r); res.data()*=a; return res;}
inline tail operator * (tail_view const & r, dcomplex a) { return a*r; }
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, LocalTail<T2>>)
operator/ (T1 const & a, T2 const & b) { return a *inverse(b); }
inline tail operator / (tail_view const & r, dcomplex a) { tail res(r); res.data() /=a; return res;}
inline tail operator / (dcomplex a, tail_view const & r) { return a * inverse(r); }
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, LocalTail<T2>>)
operator + (T1 const & l, T2 const& r) {
using arrays::range;
if (l.shape() != r.shape()) TRIQS_RUNTIME_ERROR<< "tail addition : shape mismatch";
long omin1 = std::min(l.smallest_nonzero(),r.smallest_nonzero());
long omax1 = std::min(l.order_max(),r.order_max());
size_t si = omax1-omin1+1;
tail res(l.shape(), si, omin1);
for (long i = res.order_min(); i<=res.order_max(); ++i) res(i) = l(i) + r(i);
return res;
}
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, LocalTail<T2>>)
operator - (T1 const & l, T2 const& r) {
using arrays::range;
if (l.shape() != r.shape()) TRIQS_RUNTIME_ERROR<< "tail substraction : shape mismatch";
long omin1 = std::min(l.smallest_nonzero(),r.smallest_nonzero());
long omax1 = std::min(l.order_max(),r.order_max());
size_t si = omax1-omin1+1;
tail res(l.shape(), si, omin1);
for (long i = res.order_min(); i<=res.order_max(); ++i) res(i) = l(i) - r(i);
return res;
}
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<is_scalar_or_element<T1>, LocalTail<T2>>)
operator + (T1 const & a, T2 const & t) {
tail res(t);
res(0) += a;
return res;
}
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, is_scalar_or_element<T2>>)
operator + (T1 const & t, T2 const & a) { return a+t;}
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<is_scalar_or_element<T1>, LocalTail<T2>>)
operator - (T1 const & a, T2 const & t) { return (-a) + t;}
template<typename T1, typename T2> TYPE_ENABLE_IF(tail,mpl::and_<LocalTail<T1>, is_scalar_or_element<T2>>)
operator - (T1 const & t, T2 const & a) { return (-a) + t;}
}}}
#endif