mirror of
https://github.com/triqs/dft_tools
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112 lines
3.0 KiB
C++
112 lines
3.0 KiB
C++
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/*******************************************************************************
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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 M. Ferrero, 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 STATISTIC_HISTOGRAM_H
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#define STATISTIC_HISTOGRAM_H
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#include <numeric>
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#include <map>
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#include <fstream>
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namespace triqs {
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namespace mc_tools {
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/**
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Histograms for a MonteCarlo run.
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For integer in [0,Size]
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*/
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class histogram {
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protected:
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int del;
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std::vector<int> data;
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public :
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/** */
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histogram(int Size):del(0),data(Size,0){}
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/** */
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histogram & operator<<(unsigned int i)
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{ if (i>data.size()) del++;else data[i]++; return *this;}
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/** */
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inline void reset(){del=0; for (unsigned int u=0; u<data.size(); ++u) data[u]=0;}
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/** */
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void save(std::ostream & where){
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double norm = std::accumulate(data.begin(), data.end(), 0);
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for ( unsigned int i =0; i<data.size();i++)
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where << i<< " "<< data[i]/double(norm)<<std::endl;
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if (del) std::cerr<<"Histogram : "<<del<<" points have been lost !"<<std::endl;
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}
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/** */
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void save(std::string s){ std::ofstream tmp(s.c_str(),std::ios::out); save (tmp);}
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};
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/**
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To accumulate histograms in a MonteCarlo run.
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Accumulates float in [a,b] with binning.
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*/
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class histogram_binned : public histogram {
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public :
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/** */
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histogram_binned(double a, double b, int Size=1000):histogram(Size), x0(a),LEN(b-a){
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if (!(LEN>0)) throw "histogram_binned construction : one must have a<b";
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}
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/** */
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inline histogram_binned & operator<<(double x) {
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int i = int(floor((x-x0)/LEN*data.size())); assert(i>=0);
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histogram::operator<< (static_cast<unsigned int>(i) );
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return *this;
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}
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/** */
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void save(std::ostream & where){
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double norm = std::accumulate(data.begin(), data.end(), 0);
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for ( unsigned int i =0; i<data.size();i++)
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where << i/double(data.size())*LEN<< " "<< data[i]/norm<<std::endl;
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if (del) std::cerr<<"histogram_binned "<<" : "<<del<<" points have been lost !"<<std::endl;
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}
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/** */
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void save(std::string s){ std::ofstream tmp(s.c_str(),std::ios::out); save (tmp);}
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protected:
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double x0,LEN;
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};
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//
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typedef std::map<std::string,histogram_binned> HistogramBinnedMap;
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typedef std::map<std::string,histogram> HistogramMap;
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}
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}// end namespaces
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#endif
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