// Copyright (c) 2019-2022, The Monero Project // // All rights reserved. // // Redistribution and use in source and binary forms, with or without modification, are // permitted provided that the following conditions are met: // // 1. Redistributions of source code must retain the above copyright notice, this list of // conditions and the following disclaimer. // // 2. Redistributions in binary form must reproduce the above copyright notice, this list // of conditions and the following disclaimer in the documentation and/or other // materials provided with the distribution. // // 3. Neither the name of the copyright holder nor the names of its contributors may be // used to endorse or promote products derived from this software without specific // prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF // MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL // THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, // STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF // THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. #include #include "gtest/gtest.h" #include "misc_language.h" #include "rolling_median.h" #include "crypto/crypto.h" TEST(rolling_median, one) { epee::misc_utils::rolling_median_t m(1); m.insert(42); ASSERT_EQ(m.median(), 42); m.insert(18); ASSERT_EQ(m.median(), 18); m.insert(7483); ASSERT_EQ(m.median(), 7483); } TEST(rolling_median, two) { epee::misc_utils::rolling_median_t m(2); m.insert(42); ASSERT_EQ(m.median(), 42); m.insert(45); ASSERT_EQ(m.median(), 43); m.insert(49); ASSERT_EQ(m.median(), 47); m.insert(41); ASSERT_EQ(m.median(), 45); m.insert(43); ASSERT_EQ(m.median(), 42); m.insert(40); ASSERT_EQ(m.median(), 41); m.insert(41); ASSERT_EQ(m.median(), 40); } TEST(rolling_median, series) { epee::misc_utils::rolling_median_t m(100); std::vector v; v.reserve(100); for (int i = 0; i < 10000; ++i) { uint64_t r = crypto::rand(); v.push_back(r); if (v.size() > 100) v.erase(v.begin()); m.insert(r); std::vector vcopy = v; ASSERT_EQ(m.median(), epee::misc_utils::median(vcopy)); } } TEST(rolling_median, clear_whole) { epee::misc_utils::rolling_median_t m(100); std::vector random, median; random.reserve(10000); median.reserve(10000); for (int i = 0; i < 10000; ++i) { random.push_back(crypto::rand()); m.insert(random.back()); median.push_back(m.median()); } m.clear(); for (int i = 0; i < 10000; ++i) { m.insert(random[i]); ASSERT_EQ(median[i], m.median()); } } TEST(rolling_median, clear_partway) { epee::misc_utils::rolling_median_t m(100); std::vector random, median; random.reserve(10000); median.reserve(10000); for (int i = 0; i < 10000; ++i) { random.push_back(crypto::rand()); m.insert(random.back()); median.push_back(m.median()); } m.clear(); for (int i = 10000 - 100; i < 10000; ++i) { m.insert(random[i]); } ASSERT_EQ(median[10000-1], m.median()); } TEST(rolling_median, order) { epee::misc_utils::rolling_median_t m(1000); std::vector random; random.reserve(1000); for (int i = 0; i < 1000; ++i) { random.push_back(crypto::rand()); m.insert(random.back()); } const uint64_t med = m.median(); std::sort(random.begin(), random.end(), [](uint64_t a, uint64_t b) { return a < b; }); m.clear(); for (int i = 0; i < 1000; ++i) m.insert(random[i]); ASSERT_EQ(med, m.median()); std::sort(random.begin(), random.end(), [](uint64_t a, uint64_t b) { return a > b; }); m.clear(); for (int i = 0; i < 1000; ++i) m.insert(random[i]); ASSERT_EQ(med, m.median()); std::shuffle(random.begin(), random.end(), crypto::random_device{}); m.clear(); for (int i = 0; i < 1000; ++i) m.insert(random[i]); ASSERT_EQ(med, m.median()); } TEST(rolling_median, history_blind) { epee::misc_utils::rolling_median_t m(10); uint64_t median = 0; for (int i = 0; i < 1000; ++i) { m.clear(); int history_length = 743723 % (i+1); while (history_length--) m.insert(743284 % (i+1)); for (int j = 0; j < 10; ++j) m.insert(8924829384 % (j+1)); if (i == 0) median = m.median(); else ASSERT_EQ(median, m.median()); } } TEST(rolling_median, overflow) { epee::misc_utils::rolling_median_t m(2); uint64_t over_half = static_cast(3) << static_cast(62); m.insert(over_half); m.insert(over_half); ASSERT_EQ((over_half + over_half) < over_half, true); ASSERT_EQ(over_half, m.median()); } TEST(rolling_median, size) { epee::misc_utils::rolling_median_t m(10); ASSERT_EQ(m.size(), 0); m.insert(1); ASSERT_EQ(m.size(), 1); m.insert(2); ASSERT_EQ(m.size(), 2); m.clear(); ASSERT_EQ(m.size(), 0); for (int i = 0; i < 10; ++i) { m.insert(80 % (i + 1)); ASSERT_EQ(m.size(), i + 1); } m.insert(1); ASSERT_EQ(m.size(), 10); m.insert(2); ASSERT_EQ(m.size(), 10); m.clear(); ASSERT_EQ(m.size(), 0); m.insert(4); ASSERT_EQ(m.size(), 1); for (int i = 0; i < 1000; ++i) { m.insert(80 % (i + 1)); ASSERT_EQ(m.size(), std::min(10, i + 2)); } }