WIP, first working genetic algorithm to train the neural network
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/*
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* Copyright (C) 2019 Emeric Poupon
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*
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* This file is part of LMS.
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*
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* LMS is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LMS is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with LMS. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include "SessionPool.hpp"
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#include "utils/Exception.hpp"
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#include "utils/Logger.hpp"
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#include "Session.hpp"
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namespace Database {
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SessionPool::SessionPool(Db& database, std::size_t maxSessionCount)
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: _db {database},
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_maxSessionCount {maxSessionCount}
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{
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}
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Session&
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SessionPool::acquireSession()
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{
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std::scoped_lock lock {_mutex};
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if (_freeSessions.empty())
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{
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if (_acquiredSessions.size() == _maxSessionCount)
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throw LmsException {"Too many database sessions!"};
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_freeSessions.emplace_back(std::make_unique<Session>(_db));
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}
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std::unique_ptr<Session> session {std::move(_freeSessions.back())};
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_freeSessions.pop_back();
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_acquiredSessions.push_back(std::move(session));
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return *_acquiredSessions.back().get();
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}
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void
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SessionPool::releaseSession(Session& sessionToRelease)
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{
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std::scoped_lock lock {_mutex};
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auto it {std::find_if(std::begin(_acquiredSessions), std::end(_acquiredSessions), [&](const std::unique_ptr<Session>& session) { return session.get() == &sessionToRelease; })};
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if (it == std::end(_acquiredSessions))
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throw LmsException {"Unknown released Session!"};
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std::unique_ptr<Session> session {std::move(*it)};
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_acquiredSessions.erase(it);
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_freeSessions.push_back(std::move(session));
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}
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} // namespace Database
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