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// -*- 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.
#include "colvarmodule.h"
#include "colvarproxy.h"
#include "colvar.h"
#include "colvarbias_histogram.h"
colvarbias_histogram::colvarbias_histogram(char const *key)
: colvarbias(key),
grid(NULL), out_name("")
{
}
int colvarbias_histogram::init(std::string const &conf)
{
colvarbias::init(conf);
enable(f_cvb_scalar_variables);
enable(f_cvb_history_dependent);
size_t i;
get_keyval(conf, "outputFile", out_name, std::string(""));
get_keyval(conf, "outputFileDX", out_name_dx, std::string(""));
get_keyval(conf, "outputFreq", output_freq, cvm::restart_out_freq);
/// with VMD, this may not be an error
// if ( output_freq == 0 ) {
// cvm::error("User required histogram with zero output frequency");
// }
colvar_array_size = 0;
{
bool colvar_array = false;
get_keyval(conf, "gatherVectorColvars", colvar_array, colvar_array);
if (colvar_array) {
for (i = 0; i < num_variables(); i++) { // should be all vector
if (colvars[i]->value().type() != colvarvalue::type_vector) {
cvm::error("Error: used gatherVectorColvars with non-vector colvar.\n", INPUT_ERROR);
return INPUT_ERROR;
}
if (i == 0) {
colvar_array_size = colvars[i]->value().size();
if (colvar_array_size < 1) {
cvm::error("Error: vector variable has dimension less than one.\n", INPUT_ERROR);
return INPUT_ERROR;
}
} else {
if (colvar_array_size != colvars[i]->value().size()) {
cvm::error("Error: trying to combine vector colvars of different lengths.\n", INPUT_ERROR);
return INPUT_ERROR;
}
}
}
} else {
for (i = 0; i < num_variables(); i++) { // should be all scalar
if (colvars[i]->value().type() != colvarvalue::type_scalar) {
cvm::error("Error: only scalar colvars are supported when gatherVectorColvars is off.\n", INPUT_ERROR);
return INPUT_ERROR;
}
}
}
}
if (colvar_array_size > 0) {
weights.assign(colvar_array_size, 1.0);
get_keyval(conf, "weights", weights, weights);
}
for (i = 0; i < num_variables(); i++) {
colvars[i]->enable(f_cv_grid);
}
grid = new colvar_grid_scalar();
grid->init_from_colvars(colvars);
{
std::string grid_conf;
if (key_lookup(conf, "histogramGrid", &grid_conf)) {
grid->parse_params(grid_conf);
grid->check_keywords(grid_conf, "histogramGrid");
}
}
return COLVARS_OK;
}
colvarbias_histogram::~colvarbias_histogram()
{
if (grid) {
delete grid;
grid = NULL;
}
}
int colvarbias_histogram::update()
{
int error_code = COLVARS_OK;
// update base class
error_code |= colvarbias::update();
if (cvm::debug()) {
cvm::log("Updating histogram bias " + this->name);
}
// assign a valid bin size
bin.assign(num_variables(), 0);
if (out_name.size() == 0) {
// At the first timestep, we need to assign out_name since
// output_prefix is unset during the constructor
if (cvm::step_relative() == 0) {
out_name = cvm::output_prefix() + "." + this->name + ".dat";
cvm::log("Histogram " + this->name + " will be written to file \"" + out_name + "\"");
}
}
if (out_name_dx.size() == 0) {
if (cvm::step_relative() == 0) {
out_name_dx = cvm::output_prefix() + "." + this->name + ".dx";
cvm::log("Histogram " + this->name + " will be written to file \"" + out_name_dx + "\"");
}
}
if (colvar_array_size == 0) {
// update indices for scalar values
size_t i;
for (i = 0; i < num_variables(); i++) {
bin[i] = grid->current_bin_scalar(i);
}
if (grid->index_ok(bin)) {
grid->acc_value(bin, 1.0);
}
} else {
// update indices for vector/array values
size_t iv, i;
for (iv = 0; iv < colvar_array_size; iv++) {
for (i = 0; i < num_variables(); i++) {
bin[i] = grid->current_bin_scalar(i, iv);
}
if (grid->index_ok(bin)) {
grid->acc_value(bin, weights[iv]);
}
}
}
if (output_freq && (cvm::step_absolute() % output_freq) == 0) {
write_output_files();
}
error_code |= cvm::get_error();
return error_code;
}
int colvarbias_histogram::write_output_files()
{
if (!has_data) {
// nothing to write
return COLVARS_OK;
}
if (out_name.size()) {
cvm::log("Writing the histogram file \""+out_name+"\".\n");
cvm::backup_file(out_name.c_str());
std::ostream *grid_os = cvm::proxy->output_stream(out_name);
if (!grid_os) {
return cvm::error("Error opening histogram file "+out_name+
" for writing.\n", FILE_ERROR);
}
grid->write_multicol(*grid_os);
cvm::proxy->close_output_stream(out_name);
}
if (out_name_dx.size()) {
cvm::log("Writing the histogram file \""+out_name_dx+"\".\n");
cvm::backup_file(out_name_dx.c_str());
std::ostream *grid_os = cvm::proxy->output_stream(out_name_dx);
if (!grid_os) {
return cvm::error("Error opening histogram file "+out_name_dx+
" for writing.\n", FILE_ERROR);
}
grid->write_opendx(*grid_os);
cvm::proxy->close_output_stream(out_name_dx);
}
return COLVARS_OK;
}
std::istream & colvarbias_histogram::read_state_data(std::istream& is)
{
if (! read_state_data_key(is, "grid")) {
return is;
}
if (! grid->read_raw(is)) {
return is;
}
return is;
}
std::ostream & colvarbias_histogram::write_state_data(std::ostream& os)
{
std::ios::fmtflags flags(os.flags());
os.setf(std::ios::fmtflags(0), std::ios::floatfield);
os << "grid\n";
grid->write_raw(os, 8);
os.flags(flags);
return os;
}
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