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// -*- C++ -*-
#ifndef __HomogeneousHistogramsDirect_ipp__
#error This file is an implementation detail.
#endif
#ifdef STOCHASTIC_CUSTOM_PROPENSITIES
#include "Propensities.h"
#endif
#include "stochastic/HistogramsDirect.h"
#include "stochastic/ReactionSet.h"
#include "stochastic/reactionPropensityInfluence.h"
#include "ads/timer/Timer.h"
#include "ads/utility/ParseOptionsArguments.h"
#include <iostream>
#include <iterator>
#include <cassert>
namespace {
//
// Global variables.
//
//! The program name.
static std::string programName;
//
// Local functions.
//
//! Exit with an error message.
void
exitOnError() {
std::cerr
<< "Bad arguments. Usage:\n"
<< programName << "\n\n"
<< "This program reads the model and simulations parameters from\n"
<< "stdin and writes the trajectories to stdout.\n";
// CONTINUE
exit(1);
}
}
//! The main loop.
int
main(int argc, char* argv[]) {
typedef ExponentialGenerator::DiscreteUniformGenerator
DiscreteUniformGenerator;
#ifdef STOCHASTIC_CUSTOM_PROPENSITIES
typedef Propensities<true> PropensitiesFunctor;
#else
// If we use the reaction influence array, we will compute the propensities
// one at a time.
typedef stochastic::PropensitiesSingle<true> PropensitiesFunctor;
#endif
typedef PropensitiesFunctor::ReactionSetType ReactionSet;
typedef stochastic::HistogramsDirect<DiscreteGenerator, ExponentialGenerator,
PropensitiesFunctor> Solver;
typedef stochastic::State State;
#define __input_ipp__
#include "input.ipp"
#undef __input_ipp__
// Check the number of solver parameters.
// CONTINUE: Error message.
assert(solverParameters.size() == 0);
// Number of frames and frame times.
std::vector<double> frameTimes;
std::cin >> frameTimes;
// Number of bins in the histograms.
std::size_t numberOfBins;
std::cin >> numberOfBins;
// Histogram multiplicity.
std::size_t histogramMultiplicity;
std::cin >> histogramMultiplicity;
//
// Build the array of reaction influences.
//
array::StaticArrayOfArrays<std::size_t> reactionInfluence;
stochastic::computeReactionPropensityInfluence
(initialPopulations.size(), reactions.getBeginning(), reactions.getEnd(),
&reactionInfluence, true);
//
// Construct the simulation class.
//
Solver solver(State(initialPopulations, reactions.getBeginning(),
reactions.getEnd()),
PropensitiesFunctor(reactions), reactionInfluence,
frameTimes, recordedSpecies, numberOfBins,
histogramMultiplicity, maximumAllowedSteps);
//
// Read the Mersenne twister state.
//
std::cin >> solver.getDiscreteUniformGenerator();
#ifdef STOCHASTIC_USE_INFLUENCE_IN_GENERATOR
solver.getDiscreteGenerator().setInfluence(&reactionInfluence);
#endif
// There should be no more options.
if (! parser.areOptionsEmpty()) {
std::cerr << "Error. Unmatched options:\n";
parser.printOptions(std::cerr);
exitOnError();
}
//
// Run the simulation.
//
double totalReactionCount = 0;
std::size_t numberOfTrajectories = 0;
ads::Timer timer;
double elapsedTime = 0;
// Loop until there are no more tasks.
while (true) {
// The number of trajectories to generate in this task.
std::size_t trajectoriesInTask = 0;
std::cin >> trajectoriesInTask;
numberOfTrajectories += trajectoriesInTask;
if (trajectoriesInTask == 0) {
break;
}
for (std::size_t n = 0; n != trajectoriesInTask; ++n) {
timer.tic();
// Run the simulation.
solver.initialize(initialPopulations, startTime);
solver.simulate();
elapsedTime += timer.toc();
totalReactionCount += solver.getState().getReactionCount();
}
// Write the number of trajectories in this task to indicate that the
// simulations have completed.
std::cout << trajectoriesInTask << '\n';
std::cout.flush();
}
// Synchronize the histograms.
solver.synchronize();
// Empty line for the dictionary of information.
std::cout << '\n';
if (! solver.getError().empty()) {
std::cout << solver.getError() << '\n';
}
else {
// No errors.
std::cout << '\n';
// The number of trajectories generated.
std::cout << numberOfTrajectories << '\n';
// Write the histograms.
std::cout << solver.getHistograms();
}
// Write the final Mersenne twister state.
std::cout << solver.getDiscreteUniformGenerator() << '\n';
if (arePrintingPerformance) {
// Restore the default precision.
std::cout.precision(defaultPrecision);
// Performance message.
std::cout << "Simulation time = " << elapsedTime << "\n"
<< "The ensemble of simulations took "
<< totalReactionCount << " steps.\n"
<< "Reactions per second = "
<< totalReactionCount / elapsedTime << ".\n"
<< "Time per reaction = "
<< elapsedTime / totalReactionCount * 1e9 << " nanoseconds\n"
<< elapsedTime << "\n";
}
return 0;
}
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