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author | Vincent Ambo <tazjin@google.com> | 2020-05-20T01·32+0100 |
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committer | Vincent Ambo <tazjin@google.com> | 2020-05-20T01·32+0100 |
commit | fc8dc48020ac5b52731d0828a96ea4d2526c77ba (patch) | |
tree | 353204eea3268095a9ad3f5345720f32c2615c69 /third_party/abseil_cpp/absl/base/internal/exponential_biased.cc | |
parent | ffb2ae54beb5796cd408fbe15d2d2da09ff37adf (diff) | |
parent | 768eb2ca2857342673fcd462792ce04b8bac3fa3 (diff) |
Add 'third_party/abseil_cpp/' from commit '768eb2ca2857342673fcd462792ce04b8bac3fa3' r/781
git-subtree-dir: third_party/abseil_cpp git-subtree-mainline: ffb2ae54beb5796cd408fbe15d2d2da09ff37adf git-subtree-split: 768eb2ca2857342673fcd462792ce04b8bac3fa3
Diffstat (limited to 'third_party/abseil_cpp/absl/base/internal/exponential_biased.cc')
-rw-r--r-- | third_party/abseil_cpp/absl/base/internal/exponential_biased.cc | 93 |
1 files changed, 93 insertions, 0 deletions
diff --git a/third_party/abseil_cpp/absl/base/internal/exponential_biased.cc b/third_party/abseil_cpp/absl/base/internal/exponential_biased.cc new file mode 100644 index 000000000000..1b30c061e3bd --- /dev/null +++ b/third_party/abseil_cpp/absl/base/internal/exponential_biased.cc @@ -0,0 +1,93 @@ +// Copyright 2019 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. + +#include "absl/base/internal/exponential_biased.h" + +#include <stdint.h> + +#include <algorithm> +#include <atomic> +#include <cmath> +#include <limits> + +#include "absl/base/attributes.h" +#include "absl/base/optimization.h" + +namespace absl { +ABSL_NAMESPACE_BEGIN +namespace base_internal { + +// The algorithm generates a random number between 0 and 1 and applies the +// inverse cumulative distribution function for an exponential. Specifically: +// Let m be the inverse of the sample period, then the probability +// distribution function is m*exp(-mx) so the CDF is +// p = 1 - exp(-mx), so +// q = 1 - p = exp(-mx) +// log_e(q) = -mx +// -log_e(q)/m = x +// log_2(q) * (-log_e(2) * 1/m) = x +// In the code, q is actually in the range 1 to 2**26, hence the -26 below +int64_t ExponentialBiased::GetSkipCount(int64_t mean) { + if (ABSL_PREDICT_FALSE(!initialized_)) { + Initialize(); + } + + uint64_t rng = NextRandom(rng_); + rng_ = rng; + + // Take the top 26 bits as the random number + // (This plus the 1<<58 sampling bound give a max possible step of + // 5194297183973780480 bytes.) + // The uint32_t cast is to prevent a (hard-to-reproduce) NAN + // under piii debug for some binaries. + double q = static_cast<uint32_t>(rng >> (kPrngNumBits - 26)) + 1.0; + // Put the computed p-value through the CDF of a geometric. + double interval = bias_ + (std::log2(q) - 26) * (-std::log(2.0) * mean); + // Very large values of interval overflow int64_t. To avoid that, we will + // cheat and clamp any huge values to (int64_t max)/2. This is a potential + // source of bias, but the mean would need to be such a large value that it's + // not likely to come up. For example, with a mean of 1e18, the probability of + // hitting this condition is about 1/1000. For a mean of 1e17, standard + // calculators claim that this event won't happen. + if (interval > static_cast<double>(std::numeric_limits<int64_t>::max() / 2)) { + // Assume huge values are bias neutral, retain bias for next call. + return std::numeric_limits<int64_t>::max() / 2; + } + double value = std::round(interval); + bias_ = interval - value; + return value; +} + +int64_t ExponentialBiased::GetStride(int64_t mean) { + return GetSkipCount(mean - 1) + 1; +} + +void ExponentialBiased::Initialize() { + // We don't get well distributed numbers from `this` so we call NextRandom() a + // bunch to mush the bits around. We use a global_rand to handle the case + // where the same thread (by memory address) gets created and destroyed + // repeatedly. + ABSL_CONST_INIT static std::atomic<uint32_t> global_rand(0); + uint64_t r = reinterpret_cast<uint64_t>(this) + + global_rand.fetch_add(1, std::memory_order_relaxed); + for (int i = 0; i < 20; ++i) { + r = NextRandom(r); + } + rng_ = r; + initialized_ = true; +} + +} // namespace base_internal +ABSL_NAMESPACE_END +} // namespace absl |