
Created a simple unit test for the new random number generator. (It mostly tests that the generated numbers are consistent with the intended distribution, e.g. uniform. It is not a comprehensive test of the quality of the random numbers.) Several assertions in OveruseDetectorTest seem to depend on the exact sequence of random numbers. I updated those numbers to work with the new PRNG. Compute the standard deviation of the expected result in TestReorderFilter instead of passing an uncertainty parameter. BUG=webrtc:5177 Review URL: https://codereview.webrtc.org/1457023002 Cr-Commit-Position: refs/heads/master@{#10965}
83 lines
2.3 KiB
C++
83 lines
2.3 KiB
C++
/*
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* Copyright (c) 2015 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef WEBRTC_BASE_RANDOM_H_
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#define WEBRTC_BASE_RANDOM_H_
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#include <limits>
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#include "webrtc/typedefs.h"
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#include "webrtc/base/constructormagic.h"
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#include "webrtc/base/checks.h"
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namespace webrtc {
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class Random {
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public:
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explicit Random(uint64_t seed);
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// Return pseudo-random integer of the specified type.
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// We need to limit the size to 32 bits to keep the output close to uniform.
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template <typename T>
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T Rand() {
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static_assert(std::numeric_limits<T>::is_integer &&
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std::numeric_limits<T>::radix == 2 &&
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std::numeric_limits<T>::digits <= 32,
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"Rand is only supported for built-in integer types that are "
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"32 bits or smaller.");
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return static_cast<T>(NextOutput());
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}
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// Uniformly distributed pseudo-random number in the interval [0, t].
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uint32_t Rand(uint32_t t);
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// Uniformly distributed pseudo-random number in the interval [low, high].
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uint32_t Rand(uint32_t low, uint32_t high);
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// Uniformly distributed pseudo-random number in the interval [low, high].
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int32_t Rand(int32_t low, int32_t high);
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// Normal Distribution.
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double Gaussian(double mean, double standard_deviation);
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// Exponential Distribution.
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double Exponential(double lambda);
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private:
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// Outputs a nonzero 64-bit random number.
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uint64_t NextOutput() {
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state_ ^= state_ >> 12;
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state_ ^= state_ << 25;
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state_ ^= state_ >> 27;
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RTC_DCHECK(state_ != 0x0ULL);
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return state_ * 2685821657736338717ull;
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}
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uint64_t state_;
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RTC_DISALLOW_IMPLICIT_CONSTRUCTORS(Random);
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};
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// Return pseudo-random number in the interval [0.0, 1.0).
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template <>
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float Random::Rand<float>();
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// Return pseudo-random number in the interval [0.0, 1.0).
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template <>
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double Random::Rand<double>();
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// Return pseudo-random boolean value.
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template <>
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bool Random::Rand<bool>();
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} // namespace webrtc
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#endif // WEBRTC_BASE_RANDOM_H_
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