mc.h 1.78 KB
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#pragma once

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#include "evalable.h"
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#include "measurements.h"
#include "parser.h"
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#include "random.h"
#include <memory>
#include <string>
#include <vector>
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namespace loadl {

class mc {
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private:
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	int sweep_{0};
	int therm_{0};
	int pt_sweeps_per_global_update_{-1};
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protected:
	parser param;
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	std::unique_ptr<random_number_generator> rng;
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	virtual void init() = 0;
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	virtual void checkpoint_write(const iodump::group &out) = 0;
	virtual void checkpoint_read(const iodump::group &in) = 0;
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	virtual void write_output(const std::string &filename);
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	virtual void do_update() = 0;
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	virtual void do_measurement() = 0;
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	virtual void pt_update_param(const std::string & /*param_name*/, double /*new_param*/) {
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		throw std::runtime_error{"running parallel tempering, but pt_update_param not implemented"};
	}
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	virtual double pt_weight_ratio(const std::string & /*param_name*/, double /*new_param*/) {
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		throw std::runtime_error{"running parallel tempering, but pt_weight_ratio not implemented"};
		return 1;
	}
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	double random01() {
		return rng->random_double();
	}

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public:
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	bool pt_mode_{};

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	int sweep() const;
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	virtual void register_evalables(std::vector<evalable> &evalables) = 0;
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	// these functions do a little more, like taking care of the
	// random number generator state, then call the child class versions.
	void _init();
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	void _write(const std::string &dir);
	bool _read(const std::string &dir);
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	void _write_output(const std::string &filename);
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	void _do_update();
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	void _do_measurement();
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	void _pt_update_param(int target_rank, const std::string &param_name, double new_param);
	double _pt_weight_ratio(const std::string &param_name, double new_param);
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	bool is_thermalized();
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	measurements measure;

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	mc(const parser &p);
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	virtual ~mc() = default;
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};
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typedef std::function<mc *(const parser &)> mc_factory;
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}