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[/] [openrisc/] [tags/] [gnu-src/] [gcc-4.5.1/] [gcc-4.5.1-or32-1.0rc3/] [libstdc++-v3/] [testsuite/] [util/] [statistic/] [result_recorder.hpp] - Rev 516
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// -*- C++ -*- // Copyright (C) 2005, 2006, 2009 Free Software Foundation, Inc. // // This file is part of the GNU ISO C++ Library. This library 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, or (at your option) any later // version. // This library 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 library; see the file COPYING3. If not see // <http://www.gnu.org/licenses/>. // Copyright (C) 2004 Ami Tavory and Vladimir Dreizin, IBM-HRL. // Permission to use, copy, modify, sell, and distribute this software // is hereby granted without fee, provided that the above copyright // notice appears in all copies, and that both that copyright notice // and this permission notice appear in supporting documentation. None // of the above authors, nor IBM Haifa Research Laboratories, make any // representation about the suitability of this software for any // purpose. It is provided "as is" without express or implied // warranty. /** * @file result_recorder.hpp * Contains a class for recording results */ #ifndef PB_DS_RES_RECORDER_HPP #define PB_DS_RES_RECORDER_HPP #include <statistic/sample_mean.hpp> #include <statistic/sample_variance.hpp> #include <statistic/sample_mean_confidence_checker.hpp> namespace __gnu_pbds { namespace test { namespace detail { /* * Records results until the probability that the sample mean is 10% away * from the true mean is ~ 0.05. */ template<typename Value_Type> class result_recorder { public: typedef Value_Type value_type; result_recorder() : m_sample_mean(value_type()), m_sample_var(value_type()) { } bool add_result(value_type res); inline value_type get_sample_mean() const { return m_sample_mean; } private: typedef std::list<value_type> list_type; list_type m_l; value_type m_sample_mean; value_type m_sample_var; }; template<typename Value_Type> bool result_recorder<Value_Type>:: add_result(value_type res) { m_l.push_back(res); m_sample_mean = sample_mean(m_l.begin(), m_l.end()); m_sample_var = sample_variance(m_l.begin(), m_l.end(), m_sample_mean); size_t dist = std::distance(m_l.begin(), m_l.end()); return sample_mean_confidence_checker(m_sample_mean, m_sample_var, dist, 0.1); } } // namespace detail } // namespace test } // namespace __gnu_pbds #endif