c40595f2ce
This adds the cppm files of D144994. These files by themselves will do nothing. The goal is to reduce the size of D144994 and making it easier to review the real changes of the patch. Implements parts of - P2465R3 Standard Library Modules std and std.compat Reviewed By: ldionne, ChuanqiXu, aaronmondal, #libc Differential Revision: https://reviews.llvm.org/D151030
118 lines
3.8 KiB
C++
118 lines
3.8 KiB
C++
// -*- C++ -*-
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//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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module;
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#include <random>
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export module std:random;
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export namespace std {
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// [rand.req.urng], uniform random bit generator requirements
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using std::uniform_random_bit_generator;
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// [rand.eng.lcong], class template linear_congruential_engine
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using std::linear_congruential_engine;
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// [rand.eng.mers], class template mersenne_twister_engine
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using std::mersenne_twister_engine;
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// [rand.eng.sub], class template subtract_with_carry_engine
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using std::subtract_with_carry_engine;
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// [rand.adapt.disc], class template discard_block_engine
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using std::discard_block_engine;
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// [rand.adapt.ibits], class template independent_bits_engine
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using std::independent_bits_engine;
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// [rand.adapt.shuf], class template shuffle_order_engine
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using std::shuffle_order_engine;
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// [rand.predef], engines and engine adaptors with predefined parameters
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using std::knuth_b;
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using std::minstd_rand;
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using std::minstd_rand0;
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using std::mt19937;
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using std::mt19937_64;
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using std::ranlux24;
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using std::ranlux24_base;
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using std::ranlux48;
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using std::ranlux48_base;
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using std::default_random_engine;
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// [rand.device], class random_device
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using std::random_device;
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// [rand.util.seedseq], class seed_seq
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using std::seed_seq;
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// [rand.util.canonical], function template generate_canonical
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using std::generate_canonical;
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// [rand.dist.uni.int], class template uniform_int_distribution
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using std::uniform_int_distribution;
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// [rand.dist.uni.real], class template uniform_real_distribution
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using std::uniform_real_distribution;
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// [rand.dist.bern.bernoulli], class bernoulli_distribution
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using std::bernoulli_distribution;
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// [rand.dist.bern.bin], class template binomial_distribution
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using std::binomial_distribution;
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// [rand.dist.bern.geo], class template geometric_distribution
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using std::geometric_distribution;
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// [rand.dist.bern.negbin], class template negative_binomial_distribution
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using std::negative_binomial_distribution;
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// [rand.dist.pois.poisson], class template poisson_distribution
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using std::poisson_distribution;
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// [rand.dist.pois.exp], class template exponential_distribution
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using std::exponential_distribution;
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// [rand.dist.pois.gamma], class template gamma_distribution
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using std::gamma_distribution;
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// [rand.dist.pois.weibull], class template weibull_distribution
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using std::weibull_distribution;
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// [rand.dist.pois.extreme], class template extreme_value_distribution
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using std::extreme_value_distribution;
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// [rand.dist.norm.normal], class template normal_distribution
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using std::normal_distribution;
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// [rand.dist.norm.lognormal], class template lognormal_distribution
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using std::lognormal_distribution;
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// [rand.dist.norm.chisq], class template chi_squared_distribution
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using std::chi_squared_distribution;
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// [rand.dist.norm.cauchy], class template cauchy_distribution
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using std::cauchy_distribution;
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// [rand.dist.norm.f], class template fisher_f_distribution
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using std::fisher_f_distribution;
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// [rand.dist.norm.t], class template student_t_distribution
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using std::student_t_distribution;
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// [rand.dist.samp.discrete], class template discrete_distribution
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using std::discrete_distribution;
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// [rand.dist.samp.pconst], class template piecewise_constant_distribution
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using std::piecewise_constant_distribution;
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// [rand.dist.samp.plinear], class template piecewise_linear_distribution
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using std::piecewise_linear_distribution;
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} // namespace std
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