Abseil Common Libraries (C++) (grcp 依赖)
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147 lines
4.2 KiB
147 lines
4.2 KiB
// Copyright 2017 The Abseil Authors. |
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// |
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// Licensed under the Apache License, Version 2.0 (the "License"); |
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// you may not use this file except in compliance with the License. |
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// You may obtain a copy of the License at |
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// |
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// https://www.apache.org/licenses/LICENSE-2.0 |
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// |
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// Unless required by applicable law or agreed to in writing, software |
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// distributed under the License is distributed on an "AS IS" BASIS, |
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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// See the License for the specific language governing permissions and |
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// limitations under the License. |
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// Generates gaussian_distribution.cc |
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// |
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// $ blaze run :gaussian_distribution_gentables > gaussian_distribution.cc |
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// |
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#include "absl/random/gaussian_distribution.h" |
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#include <cmath> |
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#include <cstddef> |
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#include <iostream> |
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#include <limits> |
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#include <string> |
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#include "absl/base/macros.h" |
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namespace absl { |
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ABSL_NAMESPACE_BEGIN |
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namespace random_internal { |
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namespace { |
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template <typename T, size_t N> |
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void FormatArrayContents(std::ostream* os, T (&data)[N]) { |
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if (!std::numeric_limits<T>::is_exact) { |
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// Note: T is either an integer or a float. |
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// float requires higher precision to ensure that values are |
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// reproduced exactly. |
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// Trivia: C99 has hexadecimal floating point literals, but C++11 does not. |
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// Using them would remove all concern of precision loss. |
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os->precision(std::numeric_limits<T>::max_digits10 + 2); |
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} |
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*os << " {"; |
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std::string separator = ""; |
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for (size_t i = 0; i < N; ++i) { |
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*os << separator << data[i]; |
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if ((i + 1) % 3 != 0) { |
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separator = ", "; |
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} else { |
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separator = ",\n "; |
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} |
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} |
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*os << "}"; |
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} |
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} // namespace |
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class TableGenerator : public gaussian_distribution_base { |
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public: |
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TableGenerator(); |
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void Print(std::ostream* os); |
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using gaussian_distribution_base::kMask; |
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using gaussian_distribution_base::kR; |
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using gaussian_distribution_base::kV; |
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private: |
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Tables tables_; |
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}; |
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// Ziggurat gaussian initialization. For an explanation of the algorithm, see |
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// the Marsaglia paper, "The Ziggurat Method for Generating Random Variables". |
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// http://www.jstatsoft.org/v05/i08/ |
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// |
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// Further details are available in the Doornik paper |
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// https://www.doornik.com/research/ziggurat.pdf |
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// |
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TableGenerator::TableGenerator() { |
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// The constants here should match the values in gaussian_distribution.h |
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static constexpr int kC = kMask + 1; |
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static_assert((ABSL_ARRAYSIZE(tables_.x) == kC + 1), |
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"xArray must be length kMask + 2"); |
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static_assert((ABSL_ARRAYSIZE(tables_.x) == ABSL_ARRAYSIZE(tables_.f)), |
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"fx and x arrays must be identical length"); |
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auto f = [](double x) { return std::exp(-0.5 * x * x); }; |
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auto f_inv = [](double x) { return std::sqrt(-2.0 * std::log(x)); }; |
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tables_.x[0] = kV / f(kR); |
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tables_.f[0] = f(tables_.x[0]); |
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tables_.x[1] = kR; |
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tables_.f[1] = f(tables_.x[1]); |
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tables_.x[kC] = 0.0; |
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tables_.f[kC] = f(tables_.x[kC]); // 1.0 |
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for (int i = 2; i < kC; i++) { |
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double v = (kV / tables_.x[i - 1]) + tables_.f[i - 1]; |
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tables_.x[i] = f_inv(v); |
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tables_.f[i] = v; |
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} |
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} |
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void TableGenerator::Print(std::ostream* os) { |
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*os << "// BEGIN GENERATED CODE; DO NOT EDIT\n" |
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"// clang-format off\n" |
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"\n" |
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"#include \"absl/random/gaussian_distribution.h\"\n" |
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"\n" |
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// "namespace " and "absl" are broken apart so as not to conflict with |
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// script that adds the LTS inline namespace. |
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"namespace " |
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"absl {\n" |
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"namespace " |
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"random_internal {\n" |
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"\n" |
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"const gaussian_distribution_base::Tables\n" |
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" gaussian_distribution_base::zg_ = {\n"; |
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FormatArrayContents(os, tables_.x); |
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*os << ",\n"; |
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FormatArrayContents(os, tables_.f); |
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*os << "};\n" |
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"\n" |
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"} // namespace " |
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"random_internal\n" |
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"} // namespace " |
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"absl\n" |
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"\n" |
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"// clang-format on\n" |
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"// END GENERATED CODE"; |
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*os << std::endl; |
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} |
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} // namespace random_internal |
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ABSL_NAMESPACE_END |
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} // namespace absl |
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int main(int, char**) { |
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std::cerr << "\nCopy the output to gaussian_distribution.cc" << std::endl; |
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absl::random_internal::TableGenerator generator; |
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generator.Print(&std::cout); |
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return 0; |
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}
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