Files
lammps/lib/colvars/colvarbias_histogram.h
Giacomo Fiorin cba479bf6e Update Colvars library to version 2025-04-18
The following is a list of pull requests relevant to LAMMPS in the Colvars repository since 2024-08-06:

- 752 New tool poisson_integrator_conv
  https://github.com/Colvars/colvars/pull/752 (@jhenin)

- 733 Custom grids for all biases
  https://github.com/Colvars/colvars/pull/733 (@giacomofiorin, @jhenin)

- 776 Avoid error in acos and asin with fast-math
  https://github.com/Colvars/colvars/pull/776 (@jhenin)

- 773 fix: fix the clang build test failure of OPES
  https://github.com/Colvars/colvars/pull/773 (@HanatoK)

- 768 fix: clamp the input values of asin and acos in case of fast math on aarch64
  https://github.com/Colvars/colvars/pull/768 (@HanatoK)

- 761 Add debug code for the Jacobi failure
  https://github.com/Colvars/colvars/pull/761 (@HanatoK)

- 759 min_image fix; Saves long runs from crashes;
  https://github.com/Colvars/colvars/pull/759 (@PolyachenkoYA)

- 757 Fix MSVC OpenMP issue
  https://github.com/Colvars/colvars/pull/757 (@HanatoK)

- 755 Fix indentation of 'Init CVC' message in standard output
  https://github.com/Colvars/colvars/pull/755 (@jhenin)

- 750 Optimize and simplify the calculation of dihedral gradients
  https://github.com/Colvars/colvars/pull/750 (@HanatoK)

- 749 Add references to new Colvars paper
  https://github.com/Colvars/colvars/pull/749 (@jhenin, @giacomofiorin)

- 740 Report the specific C++ standard at init time, stop warning about C++97/03
  https://github.com/Colvars/colvars/pull/740 (@giacomofiorin)

- 731 Improve detection of hard/mathematical boundaries
  https://github.com/Colvars/colvars/pull/731 (@giacomofiorin)

- 729 Optimize the fit gradients
  https://github.com/Colvars/colvars/pull/729 (@HanatoK, @jhenin)

- 728 Fix undefined behavior when getting the current working directory from std::filesystem
  https://github.com/Colvars/colvars/pull/728 (@giacomofiorin)

- 727 Add patchversion scripting command
  https://github.com/Colvars/colvars/pull/727 (@giacomofiorin)

- 724 Fix gradients and metric functions of distanceDir
  https://github.com/Colvars/colvars/pull/724 (@giacomofiorin)

- 715 Add missing rotation in orientation component
  https://github.com/Colvars/colvars/pull/715 (@giacomofiorin)

- 713 fix: try to solve #87 for non-scala components
  https://github.com/Colvars/colvars/pull/713 (@HanatoK)

- 709 Implementation of OPES in Colvars
  https://github.com/Colvars/colvars/pull/709 (@HanatoK, @giacomofiorin, @jhenin)

- 706 BUGFIX for Segmentation fault in colvarbias_meta::calc_energy() with useGrids off
  https://github.com/Colvars/colvars/pull/706 (@alphataubio)

- 570 enable use of CVs defined by PyTorch neural network models
  https://github.com/Colvars/colvars/pull/570 (@zwpku, @giacomofiorin, @HanatoK, @jhenin)

Authors: @alphataubio, @EzryStIago, @giacomofiorin, @HanatoK, @jhenin, @PolyachenkoYA, @zwpku
2025-04-30 15:32:30 -04:00

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1.5 KiB
C++

// -*- c++ -*-
// This file is part of the Collective Variables module (Colvars).
// The original version of Colvars and its updates are located at:
// https://github.com/Colvars/colvars
// Please update all Colvars source files before making any changes.
// If you wish to distribute your changes, please submit them to the
// Colvars repository at GitHub.
#ifndef COLVARBIAS_HISTOGRAM_H
#define COLVARBIAS_HISTOGRAM_H
#include <vector>
#include <list>
#include <sstream>
#include <iomanip>
#include "colvarbias.h"
#include "colvargrid.h"
/// Histogram "bias" (does as the name says)
class colvarbias_histogram : public colvarbias {
public:
colvarbias_histogram(char const *key);
virtual ~colvarbias_histogram();
virtual int init(std::string const &conf);
virtual int update();
virtual int write_output_files();
virtual std::ostream & write_state_data(std::ostream &os);
virtual cvm::memory_stream & write_state_data(cvm::memory_stream &os);
virtual std::istream & read_state_data(std::istream &is);
virtual cvm::memory_stream & read_state_data(cvm::memory_stream &is);
protected:
/// n-dim histogram
colvar_grid_scalar *grid;
std::string grid_conf;
std::vector<int> bin;
std::string out_name, out_name_dx;
/// If one or more of the variables are \link colvarvalue::type_vector \endlink, treat them as arrays of this length
size_t colvar_array_size;
/// If colvar_array_size is larger than 1, weigh each one by this number before accumulating the histogram
std::vector<cvm::real> weights;
};
#endif