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// -*- C++ -*-
// Copyright (C) 2005-2016 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
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