99 lines
2.7 KiB
C++
99 lines
2.7 KiB
C++
// -*- C++ -*-
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// Copyright (C) 2005, 2006, 2009 Free Software Foundation, Inc.
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//
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// This file is part of the GNU ISO C++ Library. This library is free
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// software; you can redistribute it and/or modify it under the terms
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// of the GNU General Public License as published by the Free Software
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// Foundation; either version 3, or (at your option) any later
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// version.
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// This library is distributed in the hope that it will be useful, but
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// WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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// General Public License for more details.
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// You should have received a copy of the GNU General Public License
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// along with this library; see the file COPYING3. If not see
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// <http://www.gnu.org/licenses/>.
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// Copyright (C) 2004 Ami Tavory and Vladimir Dreizin, IBM-HRL.
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// Permission to use, copy, modify, sell, and distribute this software
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// is hereby granted without fee, provided that the above copyright
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// notice appears in all copies, and that both that copyright notice
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// and this permission notice appear in supporting documentation. None
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// of the above authors, nor IBM Haifa Research Laboratories, make any
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// representation about the suitability of this software for any
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// purpose. It is provided "as is" without express or implied
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// warranty.
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/**
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* @file result_recorder.hpp
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* Contains a class for recording results
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*/
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#ifndef PB_DS_RES_RECORDER_HPP
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#define PB_DS_RES_RECORDER_HPP
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#include <statistic/sample_mean.hpp>
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#include <statistic/sample_variance.hpp>
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#include <statistic/sample_mean_confidence_checker.hpp>
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namespace __gnu_pbds
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{
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namespace test
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{
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namespace detail
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{
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/*
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* Records results until the probability that the sample mean is 10% away
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* from the true mean is ~ 0.05.
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*/
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template<typename Value_Type>
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class result_recorder
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{
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public:
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typedef Value_Type value_type;
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result_recorder()
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: m_sample_mean(value_type()), m_sample_var(value_type())
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{ }
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bool
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add_result(value_type res);
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inline value_type
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get_sample_mean() const
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{ return m_sample_mean; }
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private:
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typedef std::list<value_type> list_type;
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list_type m_l;
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value_type m_sample_mean;
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value_type m_sample_var;
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};
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template<typename Value_Type>
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bool
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result_recorder<Value_Type>::
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add_result(value_type res)
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{
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m_l.push_back(res);
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m_sample_mean = sample_mean(m_l.begin(), m_l.end());
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m_sample_var = sample_variance(m_l.begin(), m_l.end(), m_sample_mean);
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size_t dist = std::distance(m_l.begin(), m_l.end());
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return sample_mean_confidence_checker(m_sample_mean, m_sample_var,
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dist, 0.1);
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}
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} // namespace detail
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} // namespace test
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} // namespace __gnu_pbds
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#endif
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