Abseil Common Libraries (C++) (grcp 依赖) https://abseil.io/
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

75 lines
2.5 KiB

Export of internal Abseil changes -- f012012ef78234a6a4585321b67d7b7c92ebc266 by Laramie Leavitt <lar@google.com>: Slight restructuring of absl/random/internal randen implementation. Convert round-keys.inc into randen_round_keys.cc file. Consistently use a 128-bit pointer type for internal method parameters. This allows simpler pointer arithmetic in C++ & permits removal of some constants and casts. Remove some redundancy in comments & constexpr variables. Specifically, all references to Randen algorithm parameters use RandenTraits; duplication in RandenSlow removed. PiperOrigin-RevId: 312190313 -- dc8b42e054046741e9ed65335bfdface997c6063 by Abseil Team <absl-team@google.com>: Internal change. PiperOrigin-RevId: 312167304 -- f13d248fafaf206492c1362c3574031aea3abaf7 by Matthew Brown <matthewbr@google.com>: Cleanup StrFormat extensions a little. PiperOrigin-RevId: 312166336 -- 9d9117589667afe2332bb7ad42bc967ca7c54502 by Derek Mauro <dmauro@google.com>: Internal change PiperOrigin-RevId: 312105213 -- 9a12b9b3aa0e59b8ee6cf9408ed0029045543a9b by Abseil Team <absl-team@google.com>: Complete IGNORE_TYPE macro renaming. PiperOrigin-RevId: 311999699 -- 64756f20d61021d999bd0d4c15e9ad3857382f57 by Gennadiy Rozental <rogeeff@google.com>: Switch to fixed bytes specific default value. This fixes the Abseil Flags for big endian platforms. PiperOrigin-RevId: 311844448 -- bdbe6b5b29791dbc3816ada1828458b3010ff1e9 by Laramie Leavitt <lar@google.com>: Change many distribution tests to use pcg_engine as a deterministic source of entropy. It's reasonable to test that the BitGen itself has good entropy, however when testing the cross product of all random distributions x all the architecture variations x all submitted changes results in a large number of tests. In order to account for these failures while still using good entropy requires that our allowed sigma need to account for all of these independent tests. Our current sigma values are too restrictive, and we see a lot of failures, so we have to either relax the sigma values or convert some of the statistical tests to use deterministic values. This changelist does the latter. PiperOrigin-RevId: 311840096 GitOrigin-RevId: f012012ef78234a6a4585321b67d7b7c92ebc266 Change-Id: Ic84886f38ff30d7d72c126e9b63c9a61eb729a1a
5 years ago
// Copyright 2017 The Abseil Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#ifndef ABSL_RANDOM_INTERNAL_FASTMATH_H_
#define ABSL_RANDOM_INTERNAL_FASTMATH_H_
// This file contains fast math functions (bitwise ops as well as some others)
// which are implementation details of various absl random number distributions.
#include <cassert>
#include <cmath>
#include <cstdint>
#include "absl/base/internal/bits.h"
namespace absl {
ABSL_NAMESPACE_BEGIN
namespace random_internal {
// Returns the position of the first bit set.
inline int LeadingSetBit(uint64_t n) {
return 64 - base_internal::CountLeadingZeros64(n);
}
// Compute log2(n) using integer operations.
// While std::log2 is more accurate than std::log(n) / std::log(2), for
// very large numbers--those close to std::numeric_limits<uint64_t>::max() - 2,
// for instance--std::log2 rounds up rather than down, which introduces
// definite skew in the results.
inline int IntLog2Floor(uint64_t n) {
return (n <= 1) ? 0 : (63 - base_internal::CountLeadingZeros64(n));
}
inline int IntLog2Ceil(uint64_t n) {
return (n <= 1) ? 0 : (64 - base_internal::CountLeadingZeros64(n - 1));
}
inline double StirlingLogFactorial(double n) {
assert(n >= 1);
// Using Stirling's approximation.
constexpr double kLog2PI = 1.83787706640934548356;
const double logn = std::log(n);
const double ninv = 1.0 / static_cast<double>(n);
return n * logn - n + 0.5 * (kLog2PI + logn) + (1.0 / 12.0) * ninv -
(1.0 / 360.0) * ninv * ninv * ninv;
}
// Rotate value right.
//
// We only implement the uint32_t / uint64_t versions because
// 1) those are the only ones we use, and
// 2) those are the only ones where clang detects the rotate idiom correctly.
inline constexpr uint32_t rotr(uint32_t value, uint8_t bits) {
return (value >> (bits & 31)) | (value << ((-bits) & 31));
}
inline constexpr uint64_t rotr(uint64_t value, uint8_t bits) {
return (value >> (bits & 63)) | (value << ((-bits) & 63));
}
} // namespace random_internal
ABSL_NAMESPACE_END
} // namespace absl
#endif // ABSL_RANDOM_INTERNAL_FASTMATH_H_