forked from premiere/premiere-libtorrent
115 lines
3.5 KiB
C++
115 lines
3.5 KiB
C++
/*
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Copyright (c) 2014, Arvid Norberg
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in
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the documentation and/or other materials provided with the distribution.
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* Neither the name of the author nor the names of its
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contributors may be used to endorse or promote products derived
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from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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*/
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#include "test.hpp"
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#include "libtorrent/sliding_average.hpp"
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// normal distributed samples. mean=60 stddev=10
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int samples[] = {
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49, 51, 60, 46, 65, 53, 76, 59, 57, 54, 56, 51, 45, 80, 53, 62,
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69, 67, 66, 56, 56, 61, 52, 61, 61, 62, 59, 53, 48, 68, 47, 47,
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63, 51, 53, 54, 46, 65, 64, 64, 45, 68, 64, 66, 53, 42, 57, 58,
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57, 47, 55, 59, 64, 61, 37, 67, 55, 52, 60, 60, 44, 57, 50, 77,
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56, 54, 49, 68, 66, 64, 47, 60, 46, 47, 81, 74, 65, 62, 44, 75,
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65, 43, 58, 59, 53, 67, 49, 51, 33, 47, 49, 50, 54, 48, 55, 80,
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67, 51, 66, 52, 48, 57, 30, 51, 72, 65, 78, 56, 74, 68, 49, 66,
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63, 57, 61, 62, 64, 62, 61, 52, 67, 64, 59, 61, 69, 60, 54, 69 };
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using namespace lt;
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// make sure we react quickly for the first few samples
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TORRENT_TEST(reaction_time)
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{
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sliding_average<10> avg;
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avg.add_sample(-10);
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avg.add_sample(10);
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TEST_EQUAL(avg.mean(), 0);
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}
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TORRENT_TEST(reaction_time2)
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{
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sliding_average<10> avg;
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avg.add_sample(10);
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avg.add_sample(20);
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TEST_EQUAL(avg.mean(), 15);
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}
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// make sure we converge
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TORRENT_TEST(converge)
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{
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sliding_average<10> avg;
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avg.add_sample(100);
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for (int i = 0; i < 20; ++i)
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avg.add_sample(10);
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TEST_CHECK(abs(avg.mean() - 10) <= 3);
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}
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TORRENT_TEST(converge2)
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{
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sliding_average<10> avg;
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avg.add_sample(-100);
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for (int i = 0; i < 20; ++i)
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avg.add_sample(-10);
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TEST_CHECK(abs(avg.mean() + 10) <= 3);
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}
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// test with a more realistic input
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TORRENT_TEST(random_converge)
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{
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sliding_average<10> avg;
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for (int i = 0; i < int(sizeof(samples)/sizeof(samples[0])); ++i)
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avg.add_sample(samples[i]);
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TEST_CHECK(abs(avg.mean() - 60) <= 3);
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}
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TORRENT_TEST(sliding_average)
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{
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sliding_average<4> avg;
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TEST_EQUAL(avg.mean(), 0);
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TEST_EQUAL(avg.avg_deviation(), 0);
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avg.add_sample(500);
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TEST_EQUAL(avg.mean(), 500);
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TEST_EQUAL(avg.avg_deviation(), 0);
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avg.add_sample(501);
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TEST_EQUAL(avg.avg_deviation(), 1);
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avg.add_sample(0);
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avg.add_sample(0);
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std::printf("avg: %d dev: %d\n", avg.mean(), avg.avg_deviation());
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TEST_CHECK(abs(avg.mean() - 250) < 50);
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TEST_CHECK(abs(avg.avg_deviation() - 250) < 80);
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}
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