341 lines
12 KiB
C++
341 lines
12 KiB
C++
// Copyright 2012 The Chromium Authors
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file.
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#ifndef BASE_RAND_UTIL_H_
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#define BASE_RAND_UTIL_H_
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#include <stddef.h>
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#include <stdint.h>
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#include <algorithm>
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#include <cmath>
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#include <concepts>
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#include <string>
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#include <type_traits>
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#include <vector>
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#include "base/base_export.h"
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#include "base/compiler_specific.h"
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#include "base/containers/span.h"
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#include "base/gtest_prod_util.h"
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#include "base/numerics/clamped_math.h"
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#include "base/numerics/safe_conversions.h"
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#include "base/time/time.h"
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#include "build/build_config.h"
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#if !BUILDFLAG(IS_NACL)
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#include "third_party/boringssl/src/include/openssl/rand.h"
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#endif
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namespace memory_simulator {
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class MemoryHolder;
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}
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namespace base {
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namespace internal {
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#if !BUILDFLAG(IS_NACL)
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void ConfigureBoringSSLBackedRandBytesFieldTrial();
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#endif
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// Returns a random double in range [0, 1). For use in allocator shim to avoid
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// infinite recursion. Thread-safe.
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BASE_EXPORT double RandDoubleAvoidAllocation();
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} // namespace internal
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namespace test {
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class InsecureRandomGenerator;
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} // namespace test
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// Returns a random number in range [0, UINT64_MAX]. Thread-safe.
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BASE_EXPORT uint64_t RandUint64();
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// Returns a random number between min and max (inclusive). Thread-safe.
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//
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// TODO(crbug.com/40283703): Change from fully-closed to half-closed (i.e.
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// exclude `max`) to parallel other APIs here.
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BASE_EXPORT int RandInt(int min, int max);
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// Returns a random number in range [0, range). Thread-safe.
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BASE_EXPORT uint64_t RandGenerator(uint64_t range);
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// Returns a random double in range [0, 1). Thread-safe.
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BASE_EXPORT double RandDouble();
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// Returns a random float in range [0, 1). Thread-safe.
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BASE_EXPORT float RandFloat();
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// Returns a random bool. Thread-safe.
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BASE_EXPORT bool RandBool();
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// Returns a random duration in [`start`, `limit`). Thread-safe.
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//
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// REQUIRES: `start` < `limit`
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BASE_EXPORT TimeDelta RandTimeDelta(TimeDelta start, TimeDelta limit);
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// Returns a random duration in [`TimeDelta()`, `limit`). Thread-safe.
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//
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// REQUIRES: `limit.is_positive()`
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BASE_EXPORT TimeDelta RandTimeDeltaUpTo(TimeDelta limit);
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// Adjusts `value` up or down by a random amount up to `percentage`%, e.g. to
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// add noise/jitter. Thread-safe.
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//
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// More precisely, implements something equivalent to the following pseudocode:
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// (1) Computes `max_adjustment = value * percentage / 100` as a double
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// (2) If `T` is integral, rounds `max_adjustment`, clamped to what is
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// effectively a 65-bit signed value
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// (3) Computes `result` as a random value in the range of
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// [`value - max_adjustment`, `value + max_adjustment`)
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// (4) Checks that the `result` is in the valid range of `T` and returns it
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//
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// REQUIRES: inputs are finite, `percentage` >= 0
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template <typename T>
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requires std::floating_point<T>
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T RandomizeByPercentage(T value, double percentage) {
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CHECK(!std::isinf(value));
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CHECK(!std::isnan(value));
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CHECK(!std::isinf(percentage));
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CHECK_GE(percentage, 0);
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return checked_cast<T>(value +
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value * (RandDouble() - 0.5) * 2 * percentage / 100);
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}
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template <typename T>
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requires std::integral<T>
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T RandomizeByPercentage(T value, double percentage) {
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CHECK(!std::isinf(percentage));
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CHECK_GE(percentage, 0);
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// If `T` is signed and `percentage` is sufficiently large, the maximum
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// adjustment may not fit in a `T`. The clamped value described in pseudocode
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// step (2) above will always fit in a `uint64_t`, so do math in `uint64_t`s.
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const uint64_t abs_value = SafeUnsignedAbs(value);
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const uint64_t max_abs_adjustment =
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ClampRound<uint64_t>(abs_value * percentage / 100);
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if (!max_abs_adjustment) {
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return value;
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}
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uint64_t abs_adjustment = RandGenerator(max_abs_adjustment);
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CheckedNumeric<T> checked_value(value);
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// Random sign bit for the adjustment.
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if (RandBool()) {
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// Subtract adjustment.
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//
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// Be careful to "translate" the adjustment to the other side of `value` (by
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// doing the subtraction from `max_abs_adjustment` here) instead of
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// "mirroring" it (as would happen if this were omitted). This avoids bias
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// and preserves the desired half-closed interval property of the result
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// range.
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abs_adjustment = max_abs_adjustment - abs_adjustment;
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checked_value -= abs_adjustment;
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} else {
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checked_value += abs_adjustment;
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}
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return checked_value.ValueOrDie();
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}
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inline TimeDelta RandomizeByPercentage(TimeDelta value, double percentage) {
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CHECK(!value.is_inf());
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return Microseconds(
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RandomizeByPercentage(value.InMicroseconds(), percentage));
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}
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// Given input |bits|, convert with maximum precision to a double in
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// the range [0, 1). Thread-safe.
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BASE_EXPORT double BitsToOpenEndedUnitInterval(uint64_t bits);
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// Given input `bits`, convert with maximum precision to a float in the range
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// [0, 1). Thread-safe.
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BASE_EXPORT float BitsToOpenEndedUnitIntervalF(uint64_t bits);
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// Fills `output` with cryptographically secure random data. Thread-safe.
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//
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// Although implementations are required to use a cryptographically secure
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// random number source, code outside of base/ that relies on this should use
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// crypto::RandBytes instead to ensure the requirement is easily discoverable.
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BASE_EXPORT void RandBytes(span<uint8_t> output);
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// Creates a vector of `length` bytes, fills it with random data, and returns
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// it. Thread-safe.
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//
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// Although implementations are required to use a cryptographically secure
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// random number source, code outside of base/ that relies on this should use
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// crypto::RandBytes instead to ensure the requirement is easily discoverable.
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BASE_EXPORT std::vector<uint8_t> RandBytesAsVector(size_t length);
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// DEPRECATED. Prefer RandBytesAsVector() above.
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// Fills a string of length |length| with random data and returns it.
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// Thread-safe.
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//
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// Note that this is a variation of |RandBytes| with a different return type.
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// The returned string is likely not ASCII/UTF-8. Use with care.
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//
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// Although implementations are required to use a cryptographically secure
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// random number source, code outside of base/ that relies on this should use
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// crypto::RandBytes instead to ensure the requirement is easily discoverable.
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BASE_EXPORT std::string RandBytesAsString(size_t length);
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// An STL UniformRandomBitGenerator backed by RandUint64.
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class RandomBitGenerator {
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public:
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using result_type = uint64_t;
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static constexpr result_type min() { return 0; }
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static constexpr result_type max() { return UINT64_MAX; }
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result_type operator()() const { return RandUint64(); }
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RandomBitGenerator() = default;
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~RandomBitGenerator() = default;
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};
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#if !BUILDFLAG(IS_NACL)
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class NonAllocatingRandomBitGenerator {
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public:
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using result_type = uint64_t;
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static constexpr result_type min() { return 0; }
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static constexpr result_type max() { return UINT64_MAX; }
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result_type operator()() const {
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uint64_t result;
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RAND_get_system_entropy_for_custom_prng(reinterpret_cast<uint8_t*>(&result),
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sizeof(result));
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return result;
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}
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NonAllocatingRandomBitGenerator() = default;
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~NonAllocatingRandomBitGenerator() = default;
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};
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#endif
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// Shuffles [first, last) randomly. Thread-safe.
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template <typename Itr>
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void RandomShuffle(Itr first, Itr last) {
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std::shuffle(first, last, RandomBitGenerator());
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}
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#if BUILDFLAG(IS_POSIX)
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BASE_EXPORT int GetUrandomFD();
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#endif
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class MetricsSubSampler;
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// Fast, insecure pseudo-random number generator.
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//
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// WARNING: This is not the generator you are looking for. This has significant
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// caveats:
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// - It is non-cryptographic, so easy to misuse
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// - It is neither fork() nor clone()-safe because both RNG's after the
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// fork/clone will have the same state and produce the same number stream.
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// - Synchronization is up to the client.
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//
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// Always prefer base::Rand*() above, unless you have a use case where its
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// overhead is too high, or system calls are disallowed.
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//
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// Performance: As of 2021, rough overhead on Linux on a desktop machine of
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// base::RandUint64() is ~800ns per call (it performs a system call). On Windows
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// it is lower. On the same machine, this generator's cost is ~2ns per call,
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// regardless of platform.
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//
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// This is different from |Rand*()| above as it is guaranteed to never make a
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// system call to generate a new number, except to seed it. This should *never*
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// be used for cryptographic applications, and is not thread-safe.
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//
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// It is seeded using base::RandUint64() in the constructor, meaning that it
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// doesn't need to be seeded. It can be re-seeded though, with
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// ReseedForTesting(). Its period is long enough that it should not need to be
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// re-seeded during use.
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//
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// Uses the XorShift128+ generator under the hood.
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class BASE_EXPORT InsecureRandomGenerator {
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public:
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// Never use outside testing, not enough entropy.
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void ReseedForTesting(uint64_t seed);
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uint32_t RandUint32() const;
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uint64_t RandUint64() const;
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// In [0, 1).
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double RandDouble() const;
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private:
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InsecureRandomGenerator();
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// State. These are mutable to allow Rand* functions to be declared as const.
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// This, in turn, enables use of `MetricsSubSampler` in const contexts.
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mutable uint64_t a_ = 0, b_ = 0;
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// Before adding a new friend class, make sure that the overhead of
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// base::Rand*() is too high, using something more representative than a
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// microbenchmark.
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// Uses the generator to fill memory pages with random content to make them
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// hard to compress, in a simulation tool not bundled with Chrome. CPU
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// overhead must be minimized to correctly measure memory effects.
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friend class memory_simulator::MemoryHolder;
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// Uses the generator to sub-sample metrics.
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friend class MetricsSubSampler;
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// test::InsecureRandomGenerator can be used for testing.
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friend class test::InsecureRandomGenerator;
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FRIEND_TEST_ALL_PREFIXES(RandUtilTest,
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InsecureRandomGeneratorProducesBothValuesOfAllBits);
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FRIEND_TEST_ALL_PREFIXES(RandUtilTest, InsecureRandomGeneratorChiSquared);
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FRIEND_TEST_ALL_PREFIXES(RandUtilTest, InsecureRandomGeneratorRandDouble);
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FRIEND_TEST_ALL_PREFIXES(RandUtilPerfTest, InsecureRandomRandUint64);
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};
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// Fast class to randomly sub-sample metrics that are logged in high frequency
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// code.
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//
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// WARNING: This uses InsecureRandomGenerator so all the caveats there apply.
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// In particular if a MetricsSubSampler object exists when fork()/clone() is
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// called, calls to ShouldSample() on both sides of the fork will return the
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// same values, possibly introducing metric bias.
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class BASE_EXPORT MetricsSubSampler {
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public:
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MetricsSubSampler();
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bool ShouldSample(double probability) const;
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void Reseed();
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// Make any call to ShouldSample for any instance of MetricsSubSampler
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// return true for testing. Cannot be used in conjunction with
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// ScopedNeverSampleForTesting.
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class BASE_EXPORT ScopedAlwaysSampleForTesting {
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public:
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ScopedAlwaysSampleForTesting();
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~ScopedAlwaysSampleForTesting();
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};
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// Make any call to ShouldSample for any instance of MetricsSubSampler
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// return false for testing. Cannot be used in conjunction with
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// ScopedAlwaysSampleForTesting.
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class BASE_EXPORT ScopedNeverSampleForTesting {
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public:
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ScopedNeverSampleForTesting();
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~ScopedNeverSampleForTesting();
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};
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private:
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InsecureRandomGenerator generator_;
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};
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// Returns true with `probability` using a pseudo-random number generator (or
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// always/never returns true if a `ScopedAlwaysSampleForTesting` or
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// `ScopedNeverSampleForTesting` is in scope). Valid values for `probability`
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// are in range [0, 1].
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//
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// This function is intended for sub-sampled metric recording only. Do not use
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// it for any other purpose, especially where cryptographic randomness is
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// required.
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//
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// Uses a thread local MetricsSubSampler.
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BASE_EXPORT bool ShouldRecordSubsampledMetric(double probability);
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// Reseeds the MetricsSubsampler used by ShouldRecordSubsampledMetric. Used
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// after forking a zygote to avoid having multiple processes sharing initial
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// RNG state.
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BASE_EXPORT void ReseedSharedMetricsSubsampler();
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} // namespace base
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#endif // BASE_RAND_UTIL_H_
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