COSC-4P82-Final-Project/include/aggregation.h

217 lines
6.9 KiB
C++

#pragma once
/*
* Copyright (C) 2024 Brett Terpstra
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
#include "blt/std/hashmap.h"
#include "blt/std/memory.h"
#include "ipc.h"
#ifndef FINALPROJECT_RUNNER_AGGREGATION_H
#define FINALPROJECT_RUNNER_AGGREGATION_H
#include <blt/std/types.h>
#include <cstdio>
#include <string>
#include <cstring>
#include <type_traits>
#include <blt/std/logging.h>
#include <blt/std/utility.h>
#include <string_view>
#include <utility>
template<typename T>
static inline void fill_value(T& v, const std::string& str)
{
try
{
if constexpr (std::is_floating_point_v<T>)
{
v = std::stod(str);
} else if constexpr (std::is_integral_v<T>)
{
v = std::stoi(str);
} else
{
static_assert("Unsupported type!");
}
} catch (const std::exception& e)
{
BLT_ERROR("Failed to convert value from string '%s' to type '%s' what(): %s", str.c_str(), blt::type_string<T>().c_str(), e.what());
}
}
/**
* Structure used to store information loaded from the .stt file
*/
struct stt_record
{
public:
stt_record() = default;
int gen, sub;
double mean_fitness;
double best_fitness, worse_fitness, mean_tree_size, mean_tree_depth;
int best_tree_size, best_tree_depth, worse_tree_size, worse_tree_depth;
double mean_fitness_run;
double best_fitness_run, worse_fitness_run, mean_tree_size_run, mean_tree_depth_run;
int best_tree_size_run, best_tree_depth_run, worse_tree_size_run, worse_tree_depth_run;
stt_record& operator+=(const stt_record& r);
stt_record& operator/=(int i);
static stt_record from_string_array(int generation, size_t& idx, blt::span<std::string> values);
};
struct stt_file
{
std::vector<stt_record> records;
blt::size_t generations = 0;
static stt_file from_file(std::string_view file);
};
/**
* Structure used to store information loaded from the .fn file
*/
struct fn_file
{
// real value = 'cammeo' predicted value = 'cammeo'
blt::size_t cc = 0;
// real value = 'cammeo' predicted value = 'osmancik'
blt::size_t co = 0;
// real value = 'osmancik' predicted value = 'osmancik'
blt::size_t oo = 0;
// real value = 'osmancik' predicted value = 'cammeo'
blt::size_t oc = 0;
double fitness = 0;
// hits from testing data
blt::size_t hits = 0;
// total data values
blt::size_t total = 0;
fn_file& operator+=(const fn_file& r);
fn_file& operator/=(int i);
static fn_file from_file(std::string_view file);
};
struct run_stats
{
stt_file stt;
fn_file fn;
process_info_t process_info;
static run_stats from_file(std::string_view sst_file, std::string_view fn_file, const process_info_t& pi);
};
struct full_stats
{
std::vector<run_stats> runs;
// return the best based on gen count, ie normally only the runs that actually complete
std::vector<run_stats> getBestFromGenerations();
std::vector<run_stats> getBestFromFitness();
std::vector<run_stats> getBestFromHits();
};
struct averaged_stats
{
run_stats stats;
blt::size_t count;
explicit averaged_stats(run_stats stats, blt::size_t count): stats(std::move(stats)), count(count)
{}
static averaged_stats from_vec(const std::vector<run_stats>& runs);
};
// in case you are wondering why all these functions are using template parameters, it is so that I can pass BLT_?*_STREAM into them
// allowing for output to stdout
template<typename T>
inline void write_stt_record(T& writer, const stt_record& r)
{
writer << r.gen << '\t';
writer << r.sub << '\t';
writer << r.mean_fitness << '\t';
writer << r.best_fitness << '\t';
writer << r.worse_fitness << '\t';
writer << r.mean_tree_size << '\t';
writer << r.mean_tree_depth << '\t';
writer << r.best_tree_size << '\t';
writer << r.best_tree_depth << '\t';
writer << r.worse_tree_size << '\t';
writer << r.worse_tree_depth << '\t';
writer << r.mean_fitness_run << '\t';
writer << r.best_fitness_run << '\t';
writer << r.worse_fitness_run << '\t';
writer << r.mean_tree_size_run << '\t';
writer << r.mean_tree_depth_run << '\t';
writer << r.best_tree_size_run << '\t';
writer << r.best_tree_depth_run << '\t';
writer << r.worse_tree_size_run << '\t';
writer << r.worse_tree_depth_run << '\n';
}
template<typename T>
inline void write_stt_header(T& writer)
{
writer << "GEN#\tSUB#\tμFGEN\tFsBestGEN\tFsWorstGEN\tμTreeSzGEN\tμTreeDpGEN\tbTreeSzGEN\tbTreeDpGEN\twTreeSzGEN\twTreeDpGEN\tμFRUN\t"
"FsBestRUN\tFsWorstRUN\tμTreeSzRUN\tμTreeDpRUN\tbTreeSzRUN\tbTreeDpRUN\twTreeSzRUN\twTreeDpRUN\n";
}
template<typename T>
inline void write_fn_file(T& writer, const fn_file& file)
{
writer << "Hits\tTotal\n";
writer << file.hits << '\t' << file.total << '\n';
writer << "Percent Hit:\t" << ((static_cast<double>(file.hits) / static_cast<double>(file.total)) * 100) << "%\n";
writer << "Fitness\n";
writer << file.fitness << '\n';
writer << "Real|Predicted\n";
writer << "Cammeo|Cammeo\tCammeo|Osmancik\tOsmancik|Osmancik\tOsmancik|Cammeo\n";
writer << file.cc << '\t' << file.co << '\t' << file.oo << '\t' << file.oc << '\n';
}
template<typename T>
inline void write_process_info(T& writer, const process_info_t& run_processes)
{
writer << "Timer Name\tValue\n";
writer << "CPU Time (ns):\t" << run_processes.cpu_time << '\n';
writer << "Wall Time (ms):\t" << run_processes.wall_time << '\n';
writer << "CPU Cycles:\t" << run_processes.cpu_cycles << '\n';
writer << "Snapshot #\tSnapshot Time(ms)\tValue(Bytes)\n";
for (const auto& v : blt::enumerate(run_processes.snapshots))
writer << (v.first + 1) << '\t' << v.second.timeSinceStart << '\t' << v.second.memory << '\n';
}
template<typename T>
inline void write_pop_info(T& writer, const std::vector<std::pair<blt::i32, blt::size_t>>& remaining_pops)
{
writer << "Run\tRemaining Subpopulations\n";
for (const auto& v : remaining_pops)
writer << v.first << '\t' << v.second << '\n';
}
void process_files(const std::string& outfile, const std::string& writefile, int runs, blt::hashmap_t<blt::i32, process_info_t>& run_processes);
#endif //FINALPROJECT_RUNNER_AGGREGATION_H