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/* -*- Mode: C++; tab-width: 2; indent-tabs-mode: nil; c-basic-offset: 2 -*- */
/***************************************************************************
* randomtest.cc
*
* Sat Mar 26 08:48:53 CET 2016
* Copyright 2016 Andr Nusser
* andre.nusser@googlemail.com
****************************************************************************/
/*
* This file is part of DrumGizmo.
*
* DrumGizmo is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* DrumGizmo 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with DrumGizmo; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA.
*/
#include <uunit.h>
#include <random.h>
#include <vector>
#include <cmath>
class RandomTest
: public uUnit
{
public:
RandomTest()
{
uUNIT_TEST(RandomTest::rangeTest);
uUNIT_TEST(RandomTest::normalTest);
uUNIT_TEST(RandomTest::chooseTest);
}
void rangeTest()
{
// check if random numbers are in the wanted range
Random rand;
float float_lb = -42.23;
float float_ub = 666.666;
int int_lb = -42;
int int_ub = 23;
for (int i = 0; i<10000; i++)
{
float rand_float = rand.floatInRange(float_lb, float_ub);
float rand_int = rand.intInRange(int_lb, int_ub);
uUNIT_ASSERT(rand_float >= float_lb && rand_float <= float_ub);
uUNIT_ASSERT(rand_int >= int_lb && rand_int <= int_ub);
}
// check if the series of random numbers is the one we expect
// for a certain seed.
rand = Random(666);
uUNIT_ASSERT_EQUAL(0, rand.intInRange(0,100));
uUNIT_ASSERT_EQUAL(61, rand.intInRange(0,100));
uUNIT_ASSERT_EQUAL(23, rand.intInRange(0,100));
}
void normalTest()
{
// This test might theoretically fail but it is extremely unlikely to happen.
Random rand;
float real_mean = 42.0;
float real_stddev = 2.0;
int nr_of_samples = 50000;
float sum = 0.;
float sum_of_squares = 0.;
for (int i=0; i<nr_of_samples; i++)
{
float rand_float = rand.normalDistribution(real_mean, real_stddev);
sum += rand_float;
sum_of_squares += rand_float*rand_float;
}
float estimated_mean = sum/nr_of_samples;
float estimated_stddev = sqrt(sum_of_squares/nr_of_samples - estimated_mean*estimated_mean);
float epsilon = 0.1;
uUNIT_ASSERT(estimated_mean >= real_mean-epsilon && estimated_mean <= real_mean+epsilon);
uUNIT_ASSERT(estimated_stddev >= real_stddev-epsilon && estimated_stddev <= real_stddev+epsilon);
}
void chooseTest()
{
Random rand;
std::vector<int> vec = { 42, 42, 42 };
int nr_of_samples = 1000;
for (int i=0; i<nr_of_samples; i++)
{
uUNIT_ASSERT_EQUAL(42, rand.choose(vec));
}
}
};
// Registers the fixture into the 'registry'
static RandomTest test;
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