Add 'third_party/abseil_cpp/' from commit '768eb2ca28'
git-subtree-dir: third_party/abseil_cpp git-subtree-mainline:ffb2ae54begit-subtree-split:768eb2ca28
This commit is contained in:
commit
fc8dc48020
1276 changed files with 208196 additions and 0 deletions
230
third_party/abseil_cpp/absl/random/internal/randen_engine.h
vendored
Normal file
230
third_party/abseil_cpp/absl/random/internal/randen_engine.h
vendored
Normal file
|
|
@ -0,0 +1,230 @@
|
|||
// 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_RANDEN_ENGINE_H_
|
||||
#define ABSL_RANDOM_INTERNAL_RANDEN_ENGINE_H_
|
||||
|
||||
#include <algorithm>
|
||||
#include <cinttypes>
|
||||
#include <cstdlib>
|
||||
#include <iostream>
|
||||
#include <iterator>
|
||||
#include <limits>
|
||||
#include <type_traits>
|
||||
|
||||
#include "absl/meta/type_traits.h"
|
||||
#include "absl/random/internal/iostream_state_saver.h"
|
||||
#include "absl/random/internal/randen.h"
|
||||
|
||||
namespace absl {
|
||||
ABSL_NAMESPACE_BEGIN
|
||||
namespace random_internal {
|
||||
|
||||
// Deterministic pseudorandom byte generator with backtracking resistance
|
||||
// (leaking the state does not compromise prior outputs). Based on Reverie
|
||||
// (see "A Robust and Sponge-Like PRNG with Improved Efficiency") instantiated
|
||||
// with an improved Simpira-like permutation.
|
||||
// Returns values of type "T" (must be a built-in unsigned integer type).
|
||||
//
|
||||
// RANDen = RANDom generator or beetroots in Swiss High German.
|
||||
// 'Strong' (well-distributed, unpredictable, backtracking-resistant) random
|
||||
// generator, faster in some benchmarks than std::mt19937_64 and pcg64_c32.
|
||||
template <typename T>
|
||||
class alignas(16) randen_engine {
|
||||
public:
|
||||
// C++11 URBG interface:
|
||||
using result_type = T;
|
||||
static_assert(std::is_unsigned<result_type>::value,
|
||||
"randen_engine template argument must be a built-in unsigned "
|
||||
"integer type");
|
||||
|
||||
static constexpr result_type(min)() {
|
||||
return (std::numeric_limits<result_type>::min)();
|
||||
}
|
||||
|
||||
static constexpr result_type(max)() {
|
||||
return (std::numeric_limits<result_type>::max)();
|
||||
}
|
||||
|
||||
explicit randen_engine(result_type seed_value = 0) { seed(seed_value); }
|
||||
|
||||
template <class SeedSequence,
|
||||
typename = typename absl::enable_if_t<
|
||||
!std::is_same<SeedSequence, randen_engine>::value>>
|
||||
explicit randen_engine(SeedSequence&& seq) {
|
||||
seed(seq);
|
||||
}
|
||||
|
||||
randen_engine(const randen_engine&) = default;
|
||||
|
||||
// Returns random bits from the buffer in units of result_type.
|
||||
result_type operator()() {
|
||||
// Refill the buffer if needed (unlikely).
|
||||
if (next_ >= kStateSizeT) {
|
||||
next_ = kCapacityT;
|
||||
impl_.Generate(state_);
|
||||
}
|
||||
|
||||
return state_[next_++];
|
||||
}
|
||||
|
||||
template <class SeedSequence>
|
||||
typename absl::enable_if_t<
|
||||
!std::is_convertible<SeedSequence, result_type>::value>
|
||||
seed(SeedSequence&& seq) {
|
||||
// Zeroes the state.
|
||||
seed();
|
||||
reseed(seq);
|
||||
}
|
||||
|
||||
void seed(result_type seed_value = 0) {
|
||||
next_ = kStateSizeT;
|
||||
// Zeroes the inner state and fills the outer state with seed_value to
|
||||
// mimics behaviour of reseed
|
||||
std::fill(std::begin(state_), std::begin(state_) + kCapacityT, 0);
|
||||
std::fill(std::begin(state_) + kCapacityT, std::end(state_), seed_value);
|
||||
}
|
||||
|
||||
// Inserts entropy into (part of) the state. Calling this periodically with
|
||||
// sufficient entropy ensures prediction resistance (attackers cannot predict
|
||||
// future outputs even if state is compromised).
|
||||
template <class SeedSequence>
|
||||
void reseed(SeedSequence& seq) {
|
||||
using sequence_result_type = typename SeedSequence::result_type;
|
||||
static_assert(sizeof(sequence_result_type) == 4,
|
||||
"SeedSequence::result_type must be 32-bit");
|
||||
|
||||
constexpr size_t kBufferSize =
|
||||
Randen::kSeedBytes / sizeof(sequence_result_type);
|
||||
alignas(16) sequence_result_type buffer[kBufferSize];
|
||||
|
||||
// Randen::Absorb XORs the seed into state, which is then mixed by a call
|
||||
// to Randen::Generate. Seeding with only the provided entropy is preferred
|
||||
// to using an arbitrary generate() call, so use [rand.req.seed_seq]
|
||||
// size as a proxy for the number of entropy units that can be generated
|
||||
// without relying on seed sequence mixing...
|
||||
const size_t entropy_size = seq.size();
|
||||
if (entropy_size < kBufferSize) {
|
||||
// ... and only request that many values, or 256-bits, when unspecified.
|
||||
const size_t requested_entropy = (entropy_size == 0) ? 8u : entropy_size;
|
||||
std::fill(std::begin(buffer) + requested_entropy, std::end(buffer), 0);
|
||||
seq.generate(std::begin(buffer), std::begin(buffer) + requested_entropy);
|
||||
// The Randen paper suggests preferentially initializing even-numbered
|
||||
// 128-bit vectors of the randen state (there are 16 such vectors).
|
||||
// The seed data is merged into the state offset by 128-bits, which
|
||||
// implies prefering seed bytes [16..31, ..., 208..223]. Since the
|
||||
// buffer is 32-bit values, we swap the corresponding buffer positions in
|
||||
// 128-bit chunks.
|
||||
size_t dst = kBufferSize;
|
||||
while (dst > 7) {
|
||||
// leave the odd bucket as-is.
|
||||
dst -= 4;
|
||||
size_t src = dst >> 1;
|
||||
// swap 128-bits into the even bucket
|
||||
std::swap(buffer[--dst], buffer[--src]);
|
||||
std::swap(buffer[--dst], buffer[--src]);
|
||||
std::swap(buffer[--dst], buffer[--src]);
|
||||
std::swap(buffer[--dst], buffer[--src]);
|
||||
}
|
||||
} else {
|
||||
seq.generate(std::begin(buffer), std::end(buffer));
|
||||
}
|
||||
impl_.Absorb(buffer, state_);
|
||||
|
||||
// Generate will be called when operator() is called
|
||||
next_ = kStateSizeT;
|
||||
}
|
||||
|
||||
void discard(uint64_t count) {
|
||||
uint64_t step = std::min<uint64_t>(kStateSizeT - next_, count);
|
||||
count -= step;
|
||||
|
||||
constexpr uint64_t kRateT = kStateSizeT - kCapacityT;
|
||||
while (count > 0) {
|
||||
next_ = kCapacityT;
|
||||
impl_.Generate(state_);
|
||||
step = std::min<uint64_t>(kRateT, count);
|
||||
count -= step;
|
||||
}
|
||||
next_ += step;
|
||||
}
|
||||
|
||||
bool operator==(const randen_engine& other) const {
|
||||
return next_ == other.next_ &&
|
||||
std::equal(std::begin(state_), std::end(state_),
|
||||
std::begin(other.state_));
|
||||
}
|
||||
|
||||
bool operator!=(const randen_engine& other) const {
|
||||
return !(*this == other);
|
||||
}
|
||||
|
||||
template <class CharT, class Traits>
|
||||
friend std::basic_ostream<CharT, Traits>& operator<<(
|
||||
std::basic_ostream<CharT, Traits>& os, // NOLINT(runtime/references)
|
||||
const randen_engine<T>& engine) { // NOLINT(runtime/references)
|
||||
using numeric_type =
|
||||
typename random_internal::stream_format_type<result_type>::type;
|
||||
auto saver = random_internal::make_ostream_state_saver(os);
|
||||
for (const auto& elem : engine.state_) {
|
||||
// In the case that `elem` is `uint8_t`, it must be cast to something
|
||||
// larger so that it prints as an integer rather than a character. For
|
||||
// simplicity, apply the cast all circumstances.
|
||||
os << static_cast<numeric_type>(elem) << os.fill();
|
||||
}
|
||||
os << engine.next_;
|
||||
return os;
|
||||
}
|
||||
|
||||
template <class CharT, class Traits>
|
||||
friend std::basic_istream<CharT, Traits>& operator>>(
|
||||
std::basic_istream<CharT, Traits>& is, // NOLINT(runtime/references)
|
||||
randen_engine<T>& engine) { // NOLINT(runtime/references)
|
||||
using numeric_type =
|
||||
typename random_internal::stream_format_type<result_type>::type;
|
||||
result_type state[kStateSizeT];
|
||||
size_t next;
|
||||
for (auto& elem : state) {
|
||||
// It is not possible to read uint8_t from wide streams, so it is
|
||||
// necessary to read a wider type and then cast it to uint8_t.
|
||||
numeric_type value;
|
||||
is >> value;
|
||||
elem = static_cast<result_type>(value);
|
||||
}
|
||||
is >> next;
|
||||
if (is.fail()) {
|
||||
return is;
|
||||
}
|
||||
std::memcpy(engine.state_, state, sizeof(engine.state_));
|
||||
engine.next_ = next;
|
||||
return is;
|
||||
}
|
||||
|
||||
private:
|
||||
static constexpr size_t kStateSizeT =
|
||||
Randen::kStateBytes / sizeof(result_type);
|
||||
static constexpr size_t kCapacityT =
|
||||
Randen::kCapacityBytes / sizeof(result_type);
|
||||
|
||||
// First kCapacityT are `inner', the others are accessible random bits.
|
||||
alignas(16) result_type state_[kStateSizeT];
|
||||
size_t next_; // index within state_
|
||||
Randen impl_;
|
||||
};
|
||||
|
||||
} // namespace random_internal
|
||||
ABSL_NAMESPACE_END
|
||||
} // namespace absl
|
||||
|
||||
#endif // ABSL_RANDOM_INTERNAL_RANDEN_ENGINE_H_
|
||||
Loading…
Add table
Add a link
Reference in a new issue