63e70b67eb
Nuxi CloudABI (https://github.com/NuxiNL/cloudlibc) does not allow processes to access the global filesystem namespace. This breaks random_device, as it attempts to use /dev/{u,}random. This change adds support for arc4random(), which is present on CloudABI. In my opinion it would also make sense to use arc4random() on other operating systems, such as *BSD and Mac OS X, but I'd rather leave that to the maintainers of the respective platforms. Switching to arc4random() does change the ABI. This change also attempts to make some cleanups to the code. It adds a single #define for every random interface, instead of testing against operating systems explicitly. As discussed, also validate the token argument to be equal to "/dev/urandom" on all systems that only provide pseudo-random numbers. This should cause little to no breakage, as "/dev/urandom" is also the default argument value. Reviewed by: jfb Differential Revision: http://reviews.llvm.org/D8134 git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@231764 91177308-0d34-0410-b5e6-96231b3b80d8
6729 lines
221 KiB
C++
6729 lines
221 KiB
C++
// -*- C++ -*-
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//===--------------------------- random -----------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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#ifndef _LIBCPP_RANDOM
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#define _LIBCPP_RANDOM
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/*
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random synopsis
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#include <initializer_list>
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namespace std
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{
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// Engines
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template <class UIntType, UIntType a, UIntType c, UIntType m>
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class linear_congruential_engine
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{
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public:
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// types
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typedef UIntType result_type;
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// engine characteristics
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static constexpr result_type multiplier = a;
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static constexpr result_type increment = c;
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static constexpr result_type modulus = m;
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static constexpr result_type min() { return c == 0u ? 1u: 0u;}
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static constexpr result_type max() { return m - 1u;}
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static constexpr result_type default_seed = 1u;
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// constructors and seeding functions
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explicit linear_congruential_engine(result_type s = default_seed);
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template<class Sseq> explicit linear_congruential_engine(Sseq& q);
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void seed(result_type s = default_seed);
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template<class Sseq> void seed(Sseq& q);
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// generating functions
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result_type operator()();
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void discard(unsigned long long z);
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};
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template <class UIntType, UIntType a, UIntType c, UIntType m>
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bool
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operator==(const linear_congruential_engine<UIntType, a, c, m>& x,
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const linear_congruential_engine<UIntType, a, c, m>& y);
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template <class UIntType, UIntType a, UIntType c, UIntType m>
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bool
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operator!=(const linear_congruential_engine<UIntType, a, c, m>& x,
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const linear_congruential_engine<UIntType, a, c, m>& y);
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template <class charT, class traits,
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class UIntType, UIntType a, UIntType c, UIntType m>
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basic_ostream<charT, traits>&
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operator<<(basic_ostream<charT, traits>& os,
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const linear_congruential_engine<UIntType, a, c, m>& x);
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template <class charT, class traits,
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class UIntType, UIntType a, UIntType c, UIntType m>
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basic_istream<charT, traits>&
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operator>>(basic_istream<charT, traits>& is,
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linear_congruential_engine<UIntType, a, c, m>& x);
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template <class UIntType, size_t w, size_t n, size_t m, size_t r,
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UIntType a, size_t u, UIntType d, size_t s,
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UIntType b, size_t t, UIntType c, size_t l, UIntType f>
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class mersenne_twister_engine
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{
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public:
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// types
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typedef UIntType result_type;
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// engine characteristics
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static constexpr size_t word_size = w;
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static constexpr size_t state_size = n;
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static constexpr size_t shift_size = m;
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static constexpr size_t mask_bits = r;
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static constexpr result_type xor_mask = a;
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static constexpr size_t tempering_u = u;
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static constexpr result_type tempering_d = d;
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static constexpr size_t tempering_s = s;
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static constexpr result_type tempering_b = b;
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static constexpr size_t tempering_t = t;
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static constexpr result_type tempering_c = c;
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static constexpr size_t tempering_l = l;
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static constexpr result_type initialization_multiplier = f;
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static constexpr result_type min () { return 0; }
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static constexpr result_type max() { return 2^w - 1; }
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static constexpr result_type default_seed = 5489u;
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// constructors and seeding functions
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explicit mersenne_twister_engine(result_type value = default_seed);
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template<class Sseq> explicit mersenne_twister_engine(Sseq& q);
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void seed(result_type value = default_seed);
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template<class Sseq> void seed(Sseq& q);
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// generating functions
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result_type operator()();
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void discard(unsigned long long z);
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};
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template <class UIntType, size_t w, size_t n, size_t m, size_t r,
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UIntType a, size_t u, UIntType d, size_t s,
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UIntType b, size_t t, UIntType c, size_t l, UIntType f>
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bool
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operator==(
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const mersenne_twister_engine<UIntType, w, n, m, r, a, u, d, s, b, t, c, l, f>& x,
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const mersenne_twister_engine<UIntType, w, n, m, r, a, u, d, s, b, t, c, l, f>& y);
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template <class UIntType, size_t w, size_t n, size_t m, size_t r,
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UIntType a, size_t u, UIntType d, size_t s,
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UIntType b, size_t t, UIntType c, size_t l, UIntType f>
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bool
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operator!=(
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const mersenne_twister_engine<UIntType, w, n, m, r, a, u, d, s, b, t, c, l, f>& x,
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const mersenne_twister_engine<UIntType, w, n, m, r, a, u, d, s, b, t, c, l, f>& y);
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template <class charT, class traits,
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class UIntType, size_t w, size_t n, size_t m, size_t r,
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UIntType a, size_t u, UIntType d, size_t s,
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UIntType b, size_t t, UIntType c, size_t l, UIntType f>
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basic_ostream<charT, traits>&
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operator<<(basic_ostream<charT, traits>& os,
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const mersenne_twister_engine<UIntType, w, n, m, r, a, u, d, s, b, t, c, l, f>& x);
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template <class charT, class traits,
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class UIntType, size_t w, size_t n, size_t m, size_t r,
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UIntType a, size_t u, UIntType d, size_t s,
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UIntType b, size_t t, UIntType c, size_t l, UIntType f>
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basic_istream<charT, traits>&
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operator>>(basic_istream<charT, traits>& is,
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mersenne_twister_engine<UIntType, w, n, m, r, a, u, d, s, b, t, c, l, f>& x);
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template<class UIntType, size_t w, size_t s, size_t r>
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class subtract_with_carry_engine
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{
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public:
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// types
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typedef UIntType result_type;
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// engine characteristics
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static constexpr size_t word_size = w;
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static constexpr size_t short_lag = s;
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static constexpr size_t long_lag = r;
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static constexpr result_type min() { return 0; }
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static constexpr result_type max() { return m-1; }
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static constexpr result_type default_seed = 19780503u;
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// constructors and seeding functions
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explicit subtract_with_carry_engine(result_type value = default_seed);
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template<class Sseq> explicit subtract_with_carry_engine(Sseq& q);
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void seed(result_type value = default_seed);
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template<class Sseq> void seed(Sseq& q);
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// generating functions
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result_type operator()();
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void discard(unsigned long long z);
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};
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template<class UIntType, size_t w, size_t s, size_t r>
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bool
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operator==(
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const subtract_with_carry_engine<UIntType, w, s, r>& x,
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const subtract_with_carry_engine<UIntType, w, s, r>& y);
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template<class UIntType, size_t w, size_t s, size_t r>
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bool
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operator!=(
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const subtract_with_carry_engine<UIntType, w, s, r>& x,
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const subtract_with_carry_engine<UIntType, w, s, r>& y);
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template <class charT, class traits,
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class UIntType, size_t w, size_t s, size_t r>
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basic_ostream<charT, traits>&
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operator<<(basic_ostream<charT, traits>& os,
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const subtract_with_carry_engine<UIntType, w, s, r>& x);
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template <class charT, class traits,
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class UIntType, size_t w, size_t s, size_t r>
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basic_istream<charT, traits>&
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operator>>(basic_istream<charT, traits>& is,
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subtract_with_carry_engine<UIntType, w, s, r>& x);
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template<class Engine, size_t p, size_t r>
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class discard_block_engine
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{
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public:
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// types
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typedef typename Engine::result_type result_type;
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// engine characteristics
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static constexpr size_t block_size = p;
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static constexpr size_t used_block = r;
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static constexpr result_type min() { return Engine::min(); }
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static constexpr result_type max() { return Engine::max(); }
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// constructors and seeding functions
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discard_block_engine();
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explicit discard_block_engine(const Engine& e);
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explicit discard_block_engine(Engine&& e);
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explicit discard_block_engine(result_type s);
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template<class Sseq> explicit discard_block_engine(Sseq& q);
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void seed();
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void seed(result_type s);
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template<class Sseq> void seed(Sseq& q);
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// generating functions
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result_type operator()();
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void discard(unsigned long long z);
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// property functions
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const Engine& base() const noexcept;
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};
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template<class Engine, size_t p, size_t r>
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bool
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operator==(
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const discard_block_engine<Engine, p, r>& x,
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const discard_block_engine<Engine, p, r>& y);
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template<class Engine, size_t p, size_t r>
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bool
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operator!=(
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const discard_block_engine<Engine, p, r>& x,
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const discard_block_engine<Engine, p, r>& y);
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template <class charT, class traits,
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class Engine, size_t p, size_t r>
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basic_ostream<charT, traits>&
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operator<<(basic_ostream<charT, traits>& os,
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const discard_block_engine<Engine, p, r>& x);
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template <class charT, class traits,
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class Engine, size_t p, size_t r>
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basic_istream<charT, traits>&
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operator>>(basic_istream<charT, traits>& is,
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discard_block_engine<Engine, p, r>& x);
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template<class Engine, size_t w, class UIntType>
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class independent_bits_engine
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{
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public:
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// types
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typedef UIntType result_type;
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// engine characteristics
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static constexpr result_type min() { return 0; }
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static constexpr result_type max() { return 2^w - 1; }
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// constructors and seeding functions
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independent_bits_engine();
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explicit independent_bits_engine(const Engine& e);
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explicit independent_bits_engine(Engine&& e);
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explicit independent_bits_engine(result_type s);
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template<class Sseq> explicit independent_bits_engine(Sseq& q);
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void seed();
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void seed(result_type s);
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template<class Sseq> void seed(Sseq& q);
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// generating functions
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result_type operator()(); void discard(unsigned long long z);
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// property functions
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const Engine& base() const noexcept;
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};
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template<class Engine, size_t w, class UIntType>
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bool
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operator==(
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const independent_bits_engine<Engine, w, UIntType>& x,
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const independent_bits_engine<Engine, w, UIntType>& y);
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template<class Engine, size_t w, class UIntType>
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bool
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operator!=(
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const independent_bits_engine<Engine, w, UIntType>& x,
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const independent_bits_engine<Engine, w, UIntType>& y);
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template <class charT, class traits,
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class Engine, size_t w, class UIntType>
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basic_ostream<charT, traits>&
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operator<<(basic_ostream<charT, traits>& os,
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const independent_bits_engine<Engine, w, UIntType>& x);
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template <class charT, class traits,
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class Engine, size_t w, class UIntType>
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basic_istream<charT, traits>&
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operator>>(basic_istream<charT, traits>& is,
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independent_bits_engine<Engine, w, UIntType>& x);
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template<class Engine, size_t k>
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class shuffle_order_engine
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{
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public:
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// types
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typedef typename Engine::result_type result_type;
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// engine characteristics
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static constexpr size_t table_size = k;
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static constexpr result_type min() { return Engine::min; }
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static constexpr result_type max() { return Engine::max; }
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// constructors and seeding functions
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shuffle_order_engine();
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explicit shuffle_order_engine(const Engine& e);
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explicit shuffle_order_engine(Engine&& e);
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explicit shuffle_order_engine(result_type s);
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template<class Sseq> explicit shuffle_order_engine(Sseq& q);
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void seed();
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void seed(result_type s);
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template<class Sseq> void seed(Sseq& q);
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// generating functions
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result_type operator()();
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void discard(unsigned long long z);
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// property functions
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const Engine& base() const noexcept;
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};
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template<class Engine, size_t k>
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bool
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operator==(
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const shuffle_order_engine<Engine, k>& x,
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const shuffle_order_engine<Engine, k>& y);
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template<class Engine, size_t k>
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bool
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operator!=(
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const shuffle_order_engine<Engine, k>& x,
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const shuffle_order_engine<Engine, k>& y);
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template <class charT, class traits,
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class Engine, size_t k>
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basic_ostream<charT, traits>&
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operator<<(basic_ostream<charT, traits>& os,
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const shuffle_order_engine<Engine, k>& x);
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template <class charT, class traits,
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class Engine, size_t k>
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basic_istream<charT, traits>&
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operator>>(basic_istream<charT, traits>& is,
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shuffle_order_engine<Engine, k>& x);
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typedef linear_congruential_engine<uint_fast32_t, 16807, 0, 2147483647>
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minstd_rand0;
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typedef linear_congruential_engine<uint_fast32_t, 48271, 0, 2147483647>
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minstd_rand;
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typedef mersenne_twister_engine<uint_fast32_t, 32, 624, 397, 31,
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0x9908b0df,
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11, 0xffffffff,
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7, 0x9d2c5680,
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15, 0xefc60000,
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18, 1812433253> mt19937;
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typedef mersenne_twister_engine<uint_fast64_t, 64, 312, 156, 31,
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0xb5026f5aa96619e9,
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29, 0x5555555555555555,
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17, 0x71d67fffeda60000,
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37, 0xfff7eee000000000,
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43, 6364136223846793005> mt19937_64;
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typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24> ranlux24_base;
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typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12> ranlux48_base;
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typedef discard_block_engine<ranlux24_base, 223, 23> ranlux24;
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typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48;
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typedef shuffle_order_engine<minstd_rand0, 256> knuth_b;
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typedef minstd_rand default_random_engine;
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// Generators
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class random_device
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{
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public:
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// types
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typedef unsigned int result_type;
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// generator characteristics
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static constexpr result_type min() { return numeric_limits<result_type>::min(); }
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static constexpr result_type max() { return numeric_limits<result_type>::max(); }
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// constructors
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explicit random_device(const string& token = "/dev/urandom");
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// generating functions
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result_type operator()();
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// property functions
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double entropy() const noexcept;
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// no copy functions
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random_device(const random_device& ) = delete;
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void operator=(const random_device& ) = delete;
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};
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// Utilities
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class seed_seq
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{
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public:
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// types
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typedef uint_least32_t result_type;
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// constructors
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seed_seq();
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template<class T>
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seed_seq(initializer_list<T> il);
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template<class InputIterator>
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seed_seq(InputIterator begin, InputIterator end);
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// generating functions
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template<class RandomAccessIterator>
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void generate(RandomAccessIterator begin, RandomAccessIterator end);
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// property functions
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size_t size() const;
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template<class OutputIterator>
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void param(OutputIterator dest) const;
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// no copy functions
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seed_seq(const seed_seq&) = delete;
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void operator=(const seed_seq& ) = delete;
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};
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template<class RealType, size_t bits, class URNG>
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RealType generate_canonical(URNG& g);
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// Distributions
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template<class IntType = int>
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class uniform_int_distribution
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{
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public:
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// types
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typedef IntType result_type;
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class param_type
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{
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public:
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typedef uniform_int_distribution distribution_type;
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explicit param_type(IntType a = 0,
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IntType b = numeric_limits<IntType>::max());
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result_type a() const;
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result_type b() const;
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friend bool operator==(const param_type& x, const param_type& y);
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friend bool operator!=(const param_type& x, const param_type& y);
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};
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// constructors and reset functions
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explicit uniform_int_distribution(IntType a = 0,
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IntType b = numeric_limits<IntType>::max());
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explicit uniform_int_distribution(const param_type& parm);
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void reset();
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// generating functions
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template<class URNG> result_type operator()(URNG& g);
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template<class URNG> result_type operator()(URNG& g, const param_type& parm);
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// property functions
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result_type a() const;
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result_type b() const;
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param_type param() const;
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void param(const param_type& parm);
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result_type min() const;
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result_type max() const;
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|
|
friend bool operator==(const uniform_int_distribution& x,
|
|
const uniform_int_distribution& y);
|
|
friend bool operator!=(const uniform_int_distribution& x,
|
|
const uniform_int_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const uniform_int_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
uniform_int_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class uniform_real_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef uniform_real_distribution distribution_type;
|
|
|
|
explicit param_type(RealType a = 0,
|
|
RealType b = 1);
|
|
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit uniform_real_distribution(RealType a = 0.0, RealType b = 1.0);
|
|
explicit uniform_real_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const uniform_real_distribution& x,
|
|
const uniform_real_distribution& y);
|
|
friend bool operator!=(const uniform_real_distribution& x,
|
|
const uniform_real_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const uniform_real_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
uniform_real_distribution& x);
|
|
};
|
|
|
|
class bernoulli_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef bool result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef bernoulli_distribution distribution_type;
|
|
|
|
explicit param_type(double p = 0.5);
|
|
|
|
double p() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit bernoulli_distribution(double p = 0.5);
|
|
explicit bernoulli_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
double p() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const bernoulli_distribution& x,
|
|
const bernoulli_distribution& y);
|
|
friend bool operator!=(const bernoulli_distribution& x,
|
|
const bernoulli_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const bernoulli_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
bernoulli_distribution& x);
|
|
};
|
|
|
|
template<class IntType = int>
|
|
class binomial_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef IntType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef binomial_distribution distribution_type;
|
|
|
|
explicit param_type(IntType t = 1, double p = 0.5);
|
|
|
|
IntType t() const;
|
|
double p() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit binomial_distribution(IntType t = 1, double p = 0.5);
|
|
explicit binomial_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
IntType t() const;
|
|
double p() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const binomial_distribution& x,
|
|
const binomial_distribution& y);
|
|
friend bool operator!=(const binomial_distribution& x,
|
|
const binomial_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const binomial_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
binomial_distribution& x);
|
|
};
|
|
|
|
template<class IntType = int>
|
|
class geometric_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef IntType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef geometric_distribution distribution_type;
|
|
|
|
explicit param_type(double p = 0.5);
|
|
|
|
double p() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit geometric_distribution(double p = 0.5);
|
|
explicit geometric_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
double p() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const geometric_distribution& x,
|
|
const geometric_distribution& y);
|
|
friend bool operator!=(const geometric_distribution& x,
|
|
const geometric_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const geometric_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
geometric_distribution& x);
|
|
};
|
|
|
|
template<class IntType = int>
|
|
class negative_binomial_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef IntType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef negative_binomial_distribution distribution_type;
|
|
|
|
explicit param_type(result_type k = 1, double p = 0.5);
|
|
|
|
result_type k() const;
|
|
double p() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit negative_binomial_distribution(result_type k = 1, double p = 0.5);
|
|
explicit negative_binomial_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type k() const;
|
|
double p() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const negative_binomial_distribution& x,
|
|
const negative_binomial_distribution& y);
|
|
friend bool operator!=(const negative_binomial_distribution& x,
|
|
const negative_binomial_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const negative_binomial_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
negative_binomial_distribution& x);
|
|
};
|
|
|
|
template<class IntType = int>
|
|
class poisson_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef IntType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef poisson_distribution distribution_type;
|
|
|
|
explicit param_type(double mean = 1.0);
|
|
|
|
double mean() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit poisson_distribution(double mean = 1.0);
|
|
explicit poisson_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
double mean() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const poisson_distribution& x,
|
|
const poisson_distribution& y);
|
|
friend bool operator!=(const poisson_distribution& x,
|
|
const poisson_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const poisson_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
poisson_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class exponential_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef exponential_distribution distribution_type;
|
|
|
|
explicit param_type(result_type lambda = 1.0);
|
|
|
|
result_type lambda() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit exponential_distribution(result_type lambda = 1.0);
|
|
explicit exponential_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type lambda() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const exponential_distribution& x,
|
|
const exponential_distribution& y);
|
|
friend bool operator!=(const exponential_distribution& x,
|
|
const exponential_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const exponential_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
exponential_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class gamma_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef gamma_distribution distribution_type;
|
|
|
|
explicit param_type(result_type alpha = 1, result_type beta = 1);
|
|
|
|
result_type alpha() const;
|
|
result_type beta() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit gamma_distribution(result_type alpha = 1, result_type beta = 1);
|
|
explicit gamma_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type alpha() const;
|
|
result_type beta() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const gamma_distribution& x,
|
|
const gamma_distribution& y);
|
|
friend bool operator!=(const gamma_distribution& x,
|
|
const gamma_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const gamma_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
gamma_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class weibull_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef weibull_distribution distribution_type;
|
|
|
|
explicit param_type(result_type alpha = 1, result_type beta = 1);
|
|
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit weibull_distribution(result_type a = 1, result_type b = 1);
|
|
explicit weibull_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const weibull_distribution& x,
|
|
const weibull_distribution& y);
|
|
friend bool operator!=(const weibull_distribution& x,
|
|
const weibull_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const weibull_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
weibull_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class extreme_value_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef extreme_value_distribution distribution_type;
|
|
|
|
explicit param_type(result_type a = 0, result_type b = 1);
|
|
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit extreme_value_distribution(result_type a = 0, result_type b = 1);
|
|
explicit extreme_value_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const extreme_value_distribution& x,
|
|
const extreme_value_distribution& y);
|
|
friend bool operator!=(const extreme_value_distribution& x,
|
|
const extreme_value_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const extreme_value_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
extreme_value_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class normal_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef normal_distribution distribution_type;
|
|
|
|
explicit param_type(result_type mean = 0, result_type stddev = 1);
|
|
|
|
result_type mean() const;
|
|
result_type stddev() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructors and reset functions
|
|
explicit normal_distribution(result_type mean = 0, result_type stddev = 1);
|
|
explicit normal_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type mean() const;
|
|
result_type stddev() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const normal_distribution& x,
|
|
const normal_distribution& y);
|
|
friend bool operator!=(const normal_distribution& x,
|
|
const normal_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const normal_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
normal_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class lognormal_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef lognormal_distribution distribution_type;
|
|
|
|
explicit param_type(result_type m = 0, result_type s = 1);
|
|
|
|
result_type m() const;
|
|
result_type s() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit lognormal_distribution(result_type m = 0, result_type s = 1);
|
|
explicit lognormal_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type m() const;
|
|
result_type s() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const lognormal_distribution& x,
|
|
const lognormal_distribution& y);
|
|
friend bool operator!=(const lognormal_distribution& x,
|
|
const lognormal_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const lognormal_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
lognormal_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class chi_squared_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef chi_squared_distribution distribution_type;
|
|
|
|
explicit param_type(result_type n = 1);
|
|
|
|
result_type n() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit chi_squared_distribution(result_type n = 1);
|
|
explicit chi_squared_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type n() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const chi_squared_distribution& x,
|
|
const chi_squared_distribution& y);
|
|
friend bool operator!=(const chi_squared_distribution& x,
|
|
const chi_squared_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const chi_squared_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
chi_squared_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class cauchy_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef cauchy_distribution distribution_type;
|
|
|
|
explicit param_type(result_type a = 0, result_type b = 1);
|
|
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit cauchy_distribution(result_type a = 0, result_type b = 1);
|
|
explicit cauchy_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type a() const;
|
|
result_type b() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const cauchy_distribution& x,
|
|
const cauchy_distribution& y);
|
|
friend bool operator!=(const cauchy_distribution& x,
|
|
const cauchy_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const cauchy_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
cauchy_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class fisher_f_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef fisher_f_distribution distribution_type;
|
|
|
|
explicit param_type(result_type m = 1, result_type n = 1);
|
|
|
|
result_type m() const;
|
|
result_type n() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit fisher_f_distribution(result_type m = 1, result_type n = 1);
|
|
explicit fisher_f_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type m() const;
|
|
result_type n() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const fisher_f_distribution& x,
|
|
const fisher_f_distribution& y);
|
|
friend bool operator!=(const fisher_f_distribution& x,
|
|
const fisher_f_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const fisher_f_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
fisher_f_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class student_t_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef student_t_distribution distribution_type;
|
|
|
|
explicit param_type(result_type n = 1);
|
|
|
|
result_type n() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
explicit student_t_distribution(result_type n = 1);
|
|
explicit student_t_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
result_type n() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const student_t_distribution& x,
|
|
const student_t_distribution& y);
|
|
friend bool operator!=(const student_t_distribution& x,
|
|
const student_t_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const student_t_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
student_t_distribution& x);
|
|
};
|
|
|
|
template<class IntType = int>
|
|
class discrete_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef IntType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef discrete_distribution distribution_type;
|
|
|
|
param_type();
|
|
template<class InputIterator>
|
|
param_type(InputIterator firstW, InputIterator lastW);
|
|
param_type(initializer_list<double> wl);
|
|
template<class UnaryOperation>
|
|
param_type(size_t nw, double xmin, double xmax, UnaryOperation fw);
|
|
|
|
vector<double> probabilities() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
discrete_distribution();
|
|
template<class InputIterator>
|
|
discrete_distribution(InputIterator firstW, InputIterator lastW);
|
|
discrete_distribution(initializer_list<double> wl);
|
|
template<class UnaryOperation>
|
|
discrete_distribution(size_t nw, double xmin, double xmax,
|
|
UnaryOperation fw);
|
|
explicit discrete_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
vector<double> probabilities() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const discrete_distribution& x,
|
|
const discrete_distribution& y);
|
|
friend bool operator!=(const discrete_distribution& x,
|
|
const discrete_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const discrete_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
discrete_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class piecewise_constant_distribution
|
|
{
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef piecewise_constant_distribution distribution_type;
|
|
|
|
param_type();
|
|
template<class InputIteratorB, class InputIteratorW>
|
|
param_type(InputIteratorB firstB, InputIteratorB lastB,
|
|
InputIteratorW firstW);
|
|
template<class UnaryOperation>
|
|
param_type(initializer_list<result_type> bl, UnaryOperation fw);
|
|
template<class UnaryOperation>
|
|
param_type(size_t nw, result_type xmin, result_type xmax,
|
|
UnaryOperation fw);
|
|
|
|
vector<result_type> intervals() const;
|
|
vector<result_type> densities() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
piecewise_constant_distribution();
|
|
template<class InputIteratorB, class InputIteratorW>
|
|
piecewise_constant_distribution(InputIteratorB firstB,
|
|
InputIteratorB lastB,
|
|
InputIteratorW firstW);
|
|
template<class UnaryOperation>
|
|
piecewise_constant_distribution(initializer_list<result_type> bl,
|
|
UnaryOperation fw);
|
|
template<class UnaryOperation>
|
|
piecewise_constant_distribution(size_t nw, result_type xmin,
|
|
result_type xmax, UnaryOperation fw);
|
|
explicit piecewise_constant_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
vector<result_type> intervals() const;
|
|
vector<result_type> densities() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const piecewise_constant_distribution& x,
|
|
const piecewise_constant_distribution& y);
|
|
friend bool operator!=(const piecewise_constant_distribution& x,
|
|
const piecewise_constant_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const piecewise_constant_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
piecewise_constant_distribution& x);
|
|
};
|
|
|
|
template<class RealType = double>
|
|
class piecewise_linear_distribution
|
|
{
|
|
// types
|
|
typedef RealType result_type;
|
|
|
|
class param_type
|
|
{
|
|
public:
|
|
typedef piecewise_linear_distribution distribution_type;
|
|
|
|
param_type();
|
|
template<class InputIteratorB, class InputIteratorW>
|
|
param_type(InputIteratorB firstB, InputIteratorB lastB,
|
|
InputIteratorW firstW);
|
|
template<class UnaryOperation>
|
|
param_type(initializer_list<result_type> bl, UnaryOperation fw);
|
|
template<class UnaryOperation>
|
|
param_type(size_t nw, result_type xmin, result_type xmax,
|
|
UnaryOperation fw);
|
|
|
|
vector<result_type> intervals() const;
|
|
vector<result_type> densities() const;
|
|
|
|
friend bool operator==(const param_type& x, const param_type& y);
|
|
friend bool operator!=(const param_type& x, const param_type& y);
|
|
};
|
|
|
|
// constructor and reset functions
|
|
piecewise_linear_distribution();
|
|
template<class InputIteratorB, class InputIteratorW>
|
|
piecewise_linear_distribution(InputIteratorB firstB,
|
|
InputIteratorB lastB,
|
|
InputIteratorW firstW);
|
|
|
|
template<class UnaryOperation>
|
|
piecewise_linear_distribution(initializer_list<result_type> bl,
|
|
UnaryOperation fw);
|
|
|
|
template<class UnaryOperation>
|
|
piecewise_linear_distribution(size_t nw, result_type xmin,
|
|
result_type xmax, UnaryOperation fw);
|
|
|
|
explicit piecewise_linear_distribution(const param_type& parm);
|
|
void reset();
|
|
|
|
// generating functions
|
|
template<class URNG> result_type operator()(URNG& g);
|
|
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
|
|
|
|
// property functions
|
|
vector<result_type> intervals() const;
|
|
vector<result_type> densities() const;
|
|
|
|
param_type param() const;
|
|
void param(const param_type& parm);
|
|
|
|
result_type min() const;
|
|
result_type max() const;
|
|
|
|
friend bool operator==(const piecewise_linear_distribution& x,
|
|
const piecewise_linear_distribution& y);
|
|
friend bool operator!=(const piecewise_linear_distribution& x,
|
|
const piecewise_linear_distribution& y);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_ostream<charT, traits>&
|
|
operator<<(basic_ostream<charT, traits>& os,
|
|
const piecewise_linear_distribution& x);
|
|
|
|
template <class charT, class traits>
|
|
friend
|
|
basic_istream<charT, traits>&
|
|
operator>>(basic_istream<charT, traits>& is,
|
|
piecewise_linear_distribution& x);
|
|
};
|
|
|
|
} // std
|
|
*/
|
|
|
|
#include <__config>
|
|
#include <cstddef>
|
|
#include <cstdint>
|
|
#include <cmath>
|
|
#include <type_traits>
|
|
#include <initializer_list>
|
|
#include <limits>
|
|
#include <algorithm>
|
|
#include <numeric>
|
|
#include <vector>
|
|
#include <string>
|
|
#include <istream>
|
|
#include <ostream>
|
|
|
|
#include <__undef_min_max>
|
|
|
|
#if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
|
|
#pragma GCC system_header
|
|
#endif
|
|
|
|
_LIBCPP_BEGIN_NAMESPACE_STD
|
|
|
|
// __is_seed_sequence
|
|
|
|
template <class _Sseq, class _Engine>
|
|
struct __is_seed_sequence
|
|
{
|
|
static _LIBCPP_CONSTEXPR const bool value =
|
|
!is_convertible<_Sseq, typename _Engine::result_type>::value &&
|
|
!is_same<typename remove_cv<_Sseq>::type, _Engine>::value;
|
|
};
|
|
|
|
// linear_congruential_engine
|
|
|
|
template <unsigned long long __a, unsigned long long __c,
|
|
unsigned long long __m, unsigned long long _Mp,
|
|
bool _MightOverflow = (__a != 0 && __m != 0 && __m-1 > (_Mp-__c)/__a)>
|
|
struct __lce_ta;
|
|
|
|
// 64
|
|
|
|
template <unsigned long long __a, unsigned long long __c, unsigned long long __m>
|
|
struct __lce_ta<__a, __c, __m, (unsigned long long)(~0), true>
|
|
{
|
|
typedef unsigned long long result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
// Schrage's algorithm
|
|
const result_type __q = __m / __a;
|
|
const result_type __r = __m % __a;
|
|
const result_type __t0 = __a * (__x % __q);
|
|
const result_type __t1 = __r * (__x / __q);
|
|
__x = __t0 + (__t0 < __t1) * __m - __t1;
|
|
__x += __c - (__x >= __m - __c) * __m;
|
|
return __x;
|
|
}
|
|
};
|
|
|
|
template <unsigned long long __a, unsigned long long __m>
|
|
struct __lce_ta<__a, 0, __m, (unsigned long long)(~0), true>
|
|
{
|
|
typedef unsigned long long result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
// Schrage's algorithm
|
|
const result_type __q = __m / __a;
|
|
const result_type __r = __m % __a;
|
|
const result_type __t0 = __a * (__x % __q);
|
|
const result_type __t1 = __r * (__x / __q);
|
|
__x = __t0 + (__t0 < __t1) * __m - __t1;
|
|
return __x;
|
|
}
|
|
};
|
|
|
|
template <unsigned long long __a, unsigned long long __c, unsigned long long __m>
|
|
struct __lce_ta<__a, __c, __m, (unsigned long long)(~0), false>
|
|
{
|
|
typedef unsigned long long result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
return (__a * __x + __c) % __m;
|
|
}
|
|
};
|
|
|
|
template <unsigned long long __a, unsigned long long __c>
|
|
struct __lce_ta<__a, __c, 0, (unsigned long long)(~0), false>
|
|
{
|
|
typedef unsigned long long result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
return __a * __x + __c;
|
|
}
|
|
};
|
|
|
|
// 32
|
|
|
|
template <unsigned long long _Ap, unsigned long long _Cp, unsigned long long _Mp>
|
|
struct __lce_ta<_Ap, _Cp, _Mp, unsigned(~0), true>
|
|
{
|
|
typedef unsigned result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
const result_type __a = static_cast<result_type>(_Ap);
|
|
const result_type __c = static_cast<result_type>(_Cp);
|
|
const result_type __m = static_cast<result_type>(_Mp);
|
|
// Schrage's algorithm
|
|
const result_type __q = __m / __a;
|
|
const result_type __r = __m % __a;
|
|
const result_type __t0 = __a * (__x % __q);
|
|
const result_type __t1 = __r * (__x / __q);
|
|
__x = __t0 + (__t0 < __t1) * __m - __t1;
|
|
__x += __c - (__x >= __m - __c) * __m;
|
|
return __x;
|
|
}
|
|
};
|
|
|
|
template <unsigned long long _Ap, unsigned long long _Mp>
|
|
struct __lce_ta<_Ap, 0, _Mp, unsigned(~0), true>
|
|
{
|
|
typedef unsigned result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
const result_type __a = static_cast<result_type>(_Ap);
|
|
const result_type __m = static_cast<result_type>(_Mp);
|
|
// Schrage's algorithm
|
|
const result_type __q = __m / __a;
|
|
const result_type __r = __m % __a;
|
|
const result_type __t0 = __a * (__x % __q);
|
|
const result_type __t1 = __r * (__x / __q);
|
|
__x = __t0 + (__t0 < __t1) * __m - __t1;
|
|
return __x;
|
|
}
|
|
};
|
|
|
|
template <unsigned long long _Ap, unsigned long long _Cp, unsigned long long _Mp>
|
|
struct __lce_ta<_Ap, _Cp, _Mp, unsigned(~0), false>
|
|
{
|
|
typedef unsigned result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
const result_type __a = static_cast<result_type>(_Ap);
|
|
const result_type __c = static_cast<result_type>(_Cp);
|
|
const result_type __m = static_cast<result_type>(_Mp);
|
|
return (__a * __x + __c) % __m;
|
|
}
|
|
};
|
|
|
|
template <unsigned long long _Ap, unsigned long long _Cp>
|
|
struct __lce_ta<_Ap, _Cp, 0, unsigned(~0), false>
|
|
{
|
|
typedef unsigned result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
const result_type __a = static_cast<result_type>(_Ap);
|
|
const result_type __c = static_cast<result_type>(_Cp);
|
|
return __a * __x + __c;
|
|
}
|
|
};
|
|
|
|
// 16
|
|
|
|
template <unsigned long long __a, unsigned long long __c, unsigned long long __m, bool __b>
|
|
struct __lce_ta<__a, __c, __m, (unsigned short)(~0), __b>
|
|
{
|
|
typedef unsigned short result_type;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type next(result_type __x)
|
|
{
|
|
return static_cast<result_type>(__lce_ta<__a, __c, __m, unsigned(~0)>::next(__x));
|
|
}
|
|
};
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
class _LIBCPP_TYPE_VIS_ONLY linear_congruential_engine;
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Up, _Up _Ap, _Up _Cp, _Up _Np>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const linear_congruential_engine<_Up, _Ap, _Cp, _Np>&);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Up, _Up _Ap, _Up _Cp, _Up _Np>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
linear_congruential_engine<_Up, _Ap, _Cp, _Np>& __x);
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
class _LIBCPP_TYPE_VIS_ONLY linear_congruential_engine
|
|
{
|
|
public:
|
|
// types
|
|
typedef _UIntType result_type;
|
|
|
|
private:
|
|
result_type __x_;
|
|
|
|
static _LIBCPP_CONSTEXPR const result_type _Mp = result_type(~0);
|
|
|
|
static_assert(__m == 0 || __a < __m, "linear_congruential_engine invalid parameters");
|
|
static_assert(__m == 0 || __c < __m, "linear_congruential_engine invalid parameters");
|
|
public:
|
|
static _LIBCPP_CONSTEXPR const result_type _Min = __c == 0u ? 1u: 0u;
|
|
static _LIBCPP_CONSTEXPR const result_type _Max = __m - 1u;
|
|
static_assert(_Min < _Max, "linear_congruential_engine invalid parameters");
|
|
|
|
// engine characteristics
|
|
static _LIBCPP_CONSTEXPR const result_type multiplier = __a;
|
|
static _LIBCPP_CONSTEXPR const result_type increment = __c;
|
|
static _LIBCPP_CONSTEXPR const result_type modulus = __m;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type min() {return _Min;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type max() {return _Max;}
|
|
static _LIBCPP_CONSTEXPR const result_type default_seed = 1u;
|
|
|
|
// constructors and seeding functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit linear_congruential_engine(result_type __s = default_seed)
|
|
{seed(__s);}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit linear_congruential_engine(_Sseq& __q,
|
|
typename enable_if<__is_seed_sequence<_Sseq, linear_congruential_engine>::value>::type* = 0)
|
|
{seed(__q);}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(result_type __s = default_seed)
|
|
{seed(integral_constant<bool, __m == 0>(),
|
|
integral_constant<bool, __c == 0>(), __s);}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
__is_seed_sequence<_Sseq, linear_congruential_engine>::value,
|
|
void
|
|
>::type
|
|
seed(_Sseq& __q)
|
|
{__seed(__q, integral_constant<unsigned,
|
|
1 + (__m == 0 ? (sizeof(result_type) * __CHAR_BIT__ - 1)/32
|
|
: (__m > 0x100000000ull))>());}
|
|
|
|
// generating functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()()
|
|
{return __x_ = static_cast<result_type>(__lce_ta<__a, __c, __m, _Mp>::next(__x_));}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void discard(unsigned long long __z) {for (; __z; --__z) operator()();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const linear_congruential_engine& __x,
|
|
const linear_congruential_engine& __y)
|
|
{return __x.__x_ == __y.__x_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const linear_congruential_engine& __x,
|
|
const linear_congruential_engine& __y)
|
|
{return !(__x == __y);}
|
|
|
|
private:
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(true_type, true_type, result_type __s) {__x_ = __s == 0 ? 1 : __s;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(true_type, false_type, result_type __s) {__x_ = __s;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(false_type, true_type, result_type __s) {__x_ = __s % __m == 0 ?
|
|
1 : __s % __m;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(false_type, false_type, result_type __s) {__x_ = __s % __m;}
|
|
|
|
template<class _Sseq>
|
|
void __seed(_Sseq& __q, integral_constant<unsigned, 1>);
|
|
template<class _Sseq>
|
|
void __seed(_Sseq& __q, integral_constant<unsigned, 2>);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Up, _Up _Ap, _Up _Cp, _Up _Np>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const linear_congruential_engine<_Up, _Ap, _Cp, _Np>&);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Up, _Up _Ap, _Up _Cp, _Up _Np>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
linear_congruential_engine<_Up, _Ap, _Cp, _Np>& __x);
|
|
};
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
_LIBCPP_CONSTEXPR const typename linear_congruential_engine<_UIntType, __a, __c, __m>::result_type
|
|
linear_congruential_engine<_UIntType, __a, __c, __m>::multiplier;
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
_LIBCPP_CONSTEXPR const typename linear_congruential_engine<_UIntType, __a, __c, __m>::result_type
|
|
linear_congruential_engine<_UIntType, __a, __c, __m>::increment;
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
_LIBCPP_CONSTEXPR const typename linear_congruential_engine<_UIntType, __a, __c, __m>::result_type
|
|
linear_congruential_engine<_UIntType, __a, __c, __m>::modulus;
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
_LIBCPP_CONSTEXPR const typename linear_congruential_engine<_UIntType, __a, __c, __m>::result_type
|
|
linear_congruential_engine<_UIntType, __a, __c, __m>::default_seed;
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
template<class _Sseq>
|
|
void
|
|
linear_congruential_engine<_UIntType, __a, __c, __m>::__seed(_Sseq& __q,
|
|
integral_constant<unsigned, 1>)
|
|
{
|
|
const unsigned __k = 1;
|
|
uint32_t __ar[__k+3];
|
|
__q.generate(__ar, __ar + __k + 3);
|
|
result_type __s = static_cast<result_type>(__ar[3] % __m);
|
|
__x_ = __c == 0 && __s == 0 ? result_type(1) : __s;
|
|
}
|
|
|
|
template <class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
template<class _Sseq>
|
|
void
|
|
linear_congruential_engine<_UIntType, __a, __c, __m>::__seed(_Sseq& __q,
|
|
integral_constant<unsigned, 2>)
|
|
{
|
|
const unsigned __k = 2;
|
|
uint32_t __ar[__k+3];
|
|
__q.generate(__ar, __ar + __k + 3);
|
|
result_type __s = static_cast<result_type>((__ar[3] +
|
|
((uint64_t)__ar[4] << 32)) % __m);
|
|
__x_ = __c == 0 && __s == 0 ? result_type(1) : __s;
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const linear_congruential_engine<_UIntType, __a, __c, __m>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left);
|
|
__os.fill(__os.widen(' '));
|
|
return __os << __x.__x_;
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
linear_congruential_engine<_UIntType, __a, __c, __m>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
_UIntType __t;
|
|
__is >> __t;
|
|
if (!__is.fail())
|
|
__x.__x_ = __t;
|
|
return __is;
|
|
}
|
|
|
|
typedef linear_congruential_engine<uint_fast32_t, 16807, 0, 2147483647>
|
|
minstd_rand0;
|
|
typedef linear_congruential_engine<uint_fast32_t, 48271, 0, 2147483647>
|
|
minstd_rand;
|
|
typedef minstd_rand default_random_engine;
|
|
// mersenne_twister_engine
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
class _LIBCPP_TYPE_VIS_ONLY mersenne_twister_engine;
|
|
|
|
template <class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
bool
|
|
operator==(const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __y);
|
|
|
|
template <class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator!=(const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __y);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x);
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
class _LIBCPP_TYPE_VIS_ONLY mersenne_twister_engine
|
|
{
|
|
public:
|
|
// types
|
|
typedef _UIntType result_type;
|
|
|
|
private:
|
|
result_type __x_[__n];
|
|
size_t __i_;
|
|
|
|
static_assert( 0 < __m, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__m <= __n, "mersenne_twister_engine invalid parameters");
|
|
static _LIBCPP_CONSTEXPR const result_type _Dt = numeric_limits<result_type>::digits;
|
|
static_assert(__w <= _Dt, "mersenne_twister_engine invalid parameters");
|
|
static_assert( 2 <= __w, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__r <= __w, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__u <= __w, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__s <= __w, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__t <= __w, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__l <= __w, "mersenne_twister_engine invalid parameters");
|
|
public:
|
|
static _LIBCPP_CONSTEXPR const result_type _Min = 0;
|
|
static _LIBCPP_CONSTEXPR const result_type _Max = __w == _Dt ? result_type(~0) :
|
|
(result_type(1) << __w) - result_type(1);
|
|
static_assert(_Min < _Max, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__a <= _Max, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__b <= _Max, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__c <= _Max, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__d <= _Max, "mersenne_twister_engine invalid parameters");
|
|
static_assert(__f <= _Max, "mersenne_twister_engine invalid parameters");
|
|
|
|
// engine characteristics
|
|
static _LIBCPP_CONSTEXPR const size_t word_size = __w;
|
|
static _LIBCPP_CONSTEXPR const size_t state_size = __n;
|
|
static _LIBCPP_CONSTEXPR const size_t shift_size = __m;
|
|
static _LIBCPP_CONSTEXPR const size_t mask_bits = __r;
|
|
static _LIBCPP_CONSTEXPR const result_type xor_mask = __a;
|
|
static _LIBCPP_CONSTEXPR const size_t tempering_u = __u;
|
|
static _LIBCPP_CONSTEXPR const result_type tempering_d = __d;
|
|
static _LIBCPP_CONSTEXPR const size_t tempering_s = __s;
|
|
static _LIBCPP_CONSTEXPR const result_type tempering_b = __b;
|
|
static _LIBCPP_CONSTEXPR const size_t tempering_t = __t;
|
|
static _LIBCPP_CONSTEXPR const result_type tempering_c = __c;
|
|
static _LIBCPP_CONSTEXPR const size_t tempering_l = __l;
|
|
static _LIBCPP_CONSTEXPR const result_type initialization_multiplier = __f;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type min() { return _Min; }
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type max() { return _Max; }
|
|
static _LIBCPP_CONSTEXPR const result_type default_seed = 5489u;
|
|
|
|
// constructors and seeding functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit mersenne_twister_engine(result_type __sd = default_seed)
|
|
{seed(__sd);}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit mersenne_twister_engine(_Sseq& __q,
|
|
typename enable_if<__is_seed_sequence<_Sseq, mersenne_twister_engine>::value>::type* = 0)
|
|
{seed(__q);}
|
|
void seed(result_type __sd = default_seed);
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
__is_seed_sequence<_Sseq, mersenne_twister_engine>::value,
|
|
void
|
|
>::type
|
|
seed(_Sseq& __q)
|
|
{__seed(__q, integral_constant<unsigned, 1 + (__w - 1) / 32>());}
|
|
|
|
// generating functions
|
|
result_type operator()();
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void discard(unsigned long long __z) {for (; __z; --__z) operator()();}
|
|
|
|
template <class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
friend
|
|
bool
|
|
operator==(const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __y);
|
|
|
|
template <class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
friend
|
|
bool
|
|
operator!=(const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __y);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x);
|
|
private:
|
|
|
|
template<class _Sseq>
|
|
void __seed(_Sseq& __q, integral_constant<unsigned, 1>);
|
|
template<class _Sseq>
|
|
void __seed(_Sseq& __q, integral_constant<unsigned, 2>);
|
|
|
|
template <size_t __count>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static
|
|
typename enable_if
|
|
<
|
|
__count < __w,
|
|
result_type
|
|
>::type
|
|
__lshift(result_type __x) {return (__x << __count) & _Max;}
|
|
|
|
template <size_t __count>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static
|
|
typename enable_if
|
|
<
|
|
(__count >= __w),
|
|
result_type
|
|
>::type
|
|
__lshift(result_type) {return result_type(0);}
|
|
|
|
template <size_t __count>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static
|
|
typename enable_if
|
|
<
|
|
__count < _Dt,
|
|
result_type
|
|
>::type
|
|
__rshift(result_type __x) {return __x >> __count;}
|
|
|
|
template <size_t __count>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static
|
|
typename enable_if
|
|
<
|
|
(__count >= _Dt),
|
|
result_type
|
|
>::type
|
|
__rshift(result_type) {return result_type(0);}
|
|
};
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::word_size;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::state_size;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::shift_size;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::mask_bits;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const typename mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::result_type
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::xor_mask;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::tempering_u;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const typename mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::result_type
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::tempering_d;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::tempering_s;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const typename mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::result_type
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::tempering_b;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::tempering_t;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const typename mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::result_type
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::tempering_c;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const size_t
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::tempering_l;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const typename mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::result_type
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::initialization_multiplier;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_LIBCPP_CONSTEXPR const typename mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::result_type
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>::default_seed;
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
void
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b,
|
|
__t, __c, __l, __f>::seed(result_type __sd)
|
|
{ // __w >= 2
|
|
__x_[0] = __sd & _Max;
|
|
for (size_t __i = 1; __i < __n; ++__i)
|
|
__x_[__i] = (__f * (__x_[__i-1] ^ __rshift<__w - 2>(__x_[__i-1])) + __i) & _Max;
|
|
__i_ = 0;
|
|
}
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
template<class _Sseq>
|
|
void
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b,
|
|
__t, __c, __l, __f>::__seed(_Sseq& __q, integral_constant<unsigned, 1>)
|
|
{
|
|
const unsigned __k = 1;
|
|
uint32_t __ar[__n * __k];
|
|
__q.generate(__ar, __ar + __n * __k);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__x_[__i] = static_cast<result_type>(__ar[__i] & _Max);
|
|
const result_type __mask = __r == _Dt ? result_type(~0) :
|
|
(result_type(1) << __r) - result_type(1);
|
|
__i_ = 0;
|
|
if ((__x_[0] & ~__mask) == 0)
|
|
{
|
|
for (size_t __i = 1; __i < __n; ++__i)
|
|
if (__x_[__i] != 0)
|
|
return;
|
|
__x_[0] = _Max;
|
|
}
|
|
}
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
template<class _Sseq>
|
|
void
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b,
|
|
__t, __c, __l, __f>::__seed(_Sseq& __q, integral_constant<unsigned, 2>)
|
|
{
|
|
const unsigned __k = 2;
|
|
uint32_t __ar[__n * __k];
|
|
__q.generate(__ar, __ar + __n * __k);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__x_[__i] = static_cast<result_type>(
|
|
(__ar[2 * __i] + ((uint64_t)__ar[2 * __i + 1] << 32)) & _Max);
|
|
const result_type __mask = __r == _Dt ? result_type(~0) :
|
|
(result_type(1) << __r) - result_type(1);
|
|
__i_ = 0;
|
|
if ((__x_[0] & ~__mask) == 0)
|
|
{
|
|
for (size_t __i = 1; __i < __n; ++__i)
|
|
if (__x_[__i] != 0)
|
|
return;
|
|
__x_[0] = _Max;
|
|
}
|
|
}
|
|
|
|
template <class _UIntType, size_t __w, size_t __n, size_t __m, size_t __r,
|
|
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
|
|
_UIntType __b, size_t __t, _UIntType __c, size_t __l, _UIntType __f>
|
|
_UIntType
|
|
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d, __s, __b,
|
|
__t, __c, __l, __f>::operator()()
|
|
{
|
|
const size_t __j = (__i_ + 1) % __n;
|
|
const result_type __mask = __r == _Dt ? result_type(~0) :
|
|
(result_type(1) << __r) - result_type(1);
|
|
const result_type _Yp = (__x_[__i_] & ~__mask) | (__x_[__j] & __mask);
|
|
const size_t __k = (__i_ + __m) % __n;
|
|
__x_[__i_] = __x_[__k] ^ __rshift<1>(_Yp) ^ (__a * (_Yp & 1));
|
|
result_type __z = __x_[__i_] ^ (__rshift<__u>(__x_[__i_]) & __d);
|
|
__i_ = __j;
|
|
__z ^= __lshift<__s>(__z) & __b;
|
|
__z ^= __lshift<__t>(__z) & __c;
|
|
return __z ^ __rshift<__l>(__z);
|
|
}
|
|
|
|
template <class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
bool
|
|
operator==(const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __y)
|
|
{
|
|
if (__x.__i_ == __y.__i_)
|
|
return _VSTD::equal(__x.__x_, __x.__x_ + _Np, __y.__x_);
|
|
if (__x.__i_ == 0 || __y.__i_ == 0)
|
|
{
|
|
size_t __j = _VSTD::min(_Np - __x.__i_, _Np - __y.__i_);
|
|
if (!_VSTD::equal(__x.__x_ + __x.__i_, __x.__x_ + __x.__i_ + __j,
|
|
__y.__x_ + __y.__i_))
|
|
return false;
|
|
if (__x.__i_ == 0)
|
|
return _VSTD::equal(__x.__x_ + __j, __x.__x_ + _Np, __y.__x_);
|
|
return _VSTD::equal(__x.__x_, __x.__x_ + (_Np - __j), __y.__x_ + __j);
|
|
}
|
|
if (__x.__i_ < __y.__i_)
|
|
{
|
|
size_t __j = _Np - __y.__i_;
|
|
if (!_VSTD::equal(__x.__x_ + __x.__i_, __x.__x_ + (__x.__i_ + __j),
|
|
__y.__x_ + __y.__i_))
|
|
return false;
|
|
if (!_VSTD::equal(__x.__x_ + (__x.__i_ + __j), __x.__x_ + _Np,
|
|
__y.__x_))
|
|
return false;
|
|
return _VSTD::equal(__x.__x_, __x.__x_ + __x.__i_,
|
|
__y.__x_ + (_Np - (__x.__i_ + __j)));
|
|
}
|
|
size_t __j = _Np - __x.__i_;
|
|
if (!_VSTD::equal(__y.__x_ + __y.__i_, __y.__x_ + (__y.__i_ + __j),
|
|
__x.__x_ + __x.__i_))
|
|
return false;
|
|
if (!_VSTD::equal(__y.__x_ + (__y.__i_ + __j), __y.__x_ + _Np,
|
|
__x.__x_))
|
|
return false;
|
|
return _VSTD::equal(__y.__x_, __y.__x_ + __y.__i_,
|
|
__x.__x_ + (_Np - (__y.__i_ + __j)));
|
|
}
|
|
|
|
template <class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator!=(const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __y)
|
|
{
|
|
return !(__x == __y);
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.__x_[__x.__i_];
|
|
for (size_t __j = __x.__i_ + 1; __j < _Np; ++__j)
|
|
__os << __sp << __x.__x_[__j];
|
|
for (size_t __j = 0; __j < __x.__i_; ++__j)
|
|
__os << __sp << __x.__x_[__j];
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Np, size_t _Mp, size_t _Rp,
|
|
_UI _Ap, size_t _Up, _UI _Dp, size_t _Sp,
|
|
_UI _Bp, size_t _Tp, _UI _Cp, size_t _Lp, _UI _Fp>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
mersenne_twister_engine<_UI, _Wp, _Np, _Mp, _Rp, _Ap, _Up, _Dp, _Sp,
|
|
_Bp, _Tp, _Cp, _Lp, _Fp>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
_UI __t[_Np];
|
|
for (size_t __i = 0; __i < _Np; ++__i)
|
|
__is >> __t[__i];
|
|
if (!__is.fail())
|
|
{
|
|
for (size_t __i = 0; __i < _Np; ++__i)
|
|
__x.__x_[__i] = __t[__i];
|
|
__x.__i_ = 0;
|
|
}
|
|
return __is;
|
|
}
|
|
|
|
typedef mersenne_twister_engine<uint_fast32_t, 32, 624, 397, 31,
|
|
0x9908b0df, 11, 0xffffffff,
|
|
7, 0x9d2c5680,
|
|
15, 0xefc60000,
|
|
18, 1812433253> mt19937;
|
|
typedef mersenne_twister_engine<uint_fast64_t, 64, 312, 156, 31,
|
|
0xb5026f5aa96619e9ULL, 29, 0x5555555555555555ULL,
|
|
17, 0x71d67fffeda60000ULL,
|
|
37, 0xfff7eee000000000ULL,
|
|
43, 6364136223846793005ULL> mt19937_64;
|
|
|
|
// subtract_with_carry_engine
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
class _LIBCPP_TYPE_VIS_ONLY subtract_with_carry_engine;
|
|
|
|
template<class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
bool
|
|
operator==(
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __y);
|
|
|
|
template<class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator!=(
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __y);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x);
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
class _LIBCPP_TYPE_VIS_ONLY subtract_with_carry_engine
|
|
{
|
|
public:
|
|
// types
|
|
typedef _UIntType result_type;
|
|
|
|
private:
|
|
result_type __x_[__r];
|
|
result_type __c_;
|
|
size_t __i_;
|
|
|
|
static _LIBCPP_CONSTEXPR const result_type _Dt = numeric_limits<result_type>::digits;
|
|
static_assert( 0 < __w, "subtract_with_carry_engine invalid parameters");
|
|
static_assert(__w <= _Dt, "subtract_with_carry_engine invalid parameters");
|
|
static_assert( 0 < __s, "subtract_with_carry_engine invalid parameters");
|
|
static_assert(__s < __r, "subtract_with_carry_engine invalid parameters");
|
|
public:
|
|
static _LIBCPP_CONSTEXPR const result_type _Min = 0;
|
|
static _LIBCPP_CONSTEXPR const result_type _Max = __w == _Dt ? result_type(~0) :
|
|
(result_type(1) << __w) - result_type(1);
|
|
static_assert(_Min < _Max, "subtract_with_carry_engine invalid parameters");
|
|
|
|
// engine characteristics
|
|
static _LIBCPP_CONSTEXPR const size_t word_size = __w;
|
|
static _LIBCPP_CONSTEXPR const size_t short_lag = __s;
|
|
static _LIBCPP_CONSTEXPR const size_t long_lag = __r;
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type min() { return _Min; }
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type max() { return _Max; }
|
|
static _LIBCPP_CONSTEXPR const result_type default_seed = 19780503u;
|
|
|
|
// constructors and seeding functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit subtract_with_carry_engine(result_type __sd = default_seed)
|
|
{seed(__sd);}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit subtract_with_carry_engine(_Sseq& __q,
|
|
typename enable_if<__is_seed_sequence<_Sseq, subtract_with_carry_engine>::value>::type* = 0)
|
|
{seed(__q);}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(result_type __sd = default_seed)
|
|
{seed(__sd, integral_constant<unsigned, 1 + (__w - 1) / 32>());}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
__is_seed_sequence<_Sseq, subtract_with_carry_engine>::value,
|
|
void
|
|
>::type
|
|
seed(_Sseq& __q)
|
|
{__seed(__q, integral_constant<unsigned, 1 + (__w - 1) / 32>());}
|
|
|
|
// generating functions
|
|
result_type operator()();
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void discard(unsigned long long __z) {for (; __z; --__z) operator()();}
|
|
|
|
template<class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
friend
|
|
bool
|
|
operator==(
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __y);
|
|
|
|
template<class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
friend
|
|
bool
|
|
operator!=(
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __y);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x);
|
|
|
|
private:
|
|
|
|
void seed(result_type __sd, integral_constant<unsigned, 1>);
|
|
void seed(result_type __sd, integral_constant<unsigned, 2>);
|
|
template<class _Sseq>
|
|
void __seed(_Sseq& __q, integral_constant<unsigned, 1>);
|
|
template<class _Sseq>
|
|
void __seed(_Sseq& __q, integral_constant<unsigned, 2>);
|
|
};
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
_LIBCPP_CONSTEXPR const size_t subtract_with_carry_engine<_UIntType, __w, __s, __r>::word_size;
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
_LIBCPP_CONSTEXPR const size_t subtract_with_carry_engine<_UIntType, __w, __s, __r>::short_lag;
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
_LIBCPP_CONSTEXPR const size_t subtract_with_carry_engine<_UIntType, __w, __s, __r>::long_lag;
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
_LIBCPP_CONSTEXPR const typename subtract_with_carry_engine<_UIntType, __w, __s, __r>::result_type
|
|
subtract_with_carry_engine<_UIntType, __w, __s, __r>::default_seed;
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
void
|
|
subtract_with_carry_engine<_UIntType, __w, __s, __r>::seed(result_type __sd,
|
|
integral_constant<unsigned, 1>)
|
|
{
|
|
linear_congruential_engine<result_type, 40014u, 0u, 2147483563u>
|
|
__e(__sd == 0u ? default_seed : __sd);
|
|
for (size_t __i = 0; __i < __r; ++__i)
|
|
__x_[__i] = static_cast<result_type>(__e() & _Max);
|
|
__c_ = __x_[__r-1] == 0;
|
|
__i_ = 0;
|
|
}
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
void
|
|
subtract_with_carry_engine<_UIntType, __w, __s, __r>::seed(result_type __sd,
|
|
integral_constant<unsigned, 2>)
|
|
{
|
|
linear_congruential_engine<result_type, 40014u, 0u, 2147483563u>
|
|
__e(__sd == 0u ? default_seed : __sd);
|
|
for (size_t __i = 0; __i < __r; ++__i)
|
|
{
|
|
result_type __e0 = __e();
|
|
__x_[__i] = static_cast<result_type>(
|
|
(__e0 + ((uint64_t)__e() << 32)) & _Max);
|
|
}
|
|
__c_ = __x_[__r-1] == 0;
|
|
__i_ = 0;
|
|
}
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
template<class _Sseq>
|
|
void
|
|
subtract_with_carry_engine<_UIntType, __w, __s, __r>::__seed(_Sseq& __q,
|
|
integral_constant<unsigned, 1>)
|
|
{
|
|
const unsigned __k = 1;
|
|
uint32_t __ar[__r * __k];
|
|
__q.generate(__ar, __ar + __r * __k);
|
|
for (size_t __i = 0; __i < __r; ++__i)
|
|
__x_[__i] = static_cast<result_type>(__ar[__i] & _Max);
|
|
__c_ = __x_[__r-1] == 0;
|
|
__i_ = 0;
|
|
}
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
template<class _Sseq>
|
|
void
|
|
subtract_with_carry_engine<_UIntType, __w, __s, __r>::__seed(_Sseq& __q,
|
|
integral_constant<unsigned, 2>)
|
|
{
|
|
const unsigned __k = 2;
|
|
uint32_t __ar[__r * __k];
|
|
__q.generate(__ar, __ar + __r * __k);
|
|
for (size_t __i = 0; __i < __r; ++__i)
|
|
__x_[__i] = static_cast<result_type>(
|
|
(__ar[2 * __i] + ((uint64_t)__ar[2 * __i + 1] << 32)) & _Max);
|
|
__c_ = __x_[__r-1] == 0;
|
|
__i_ = 0;
|
|
}
|
|
|
|
template<class _UIntType, size_t __w, size_t __s, size_t __r>
|
|
_UIntType
|
|
subtract_with_carry_engine<_UIntType, __w, __s, __r>::operator()()
|
|
{
|
|
const result_type& __xs = __x_[(__i_ + (__r - __s)) % __r];
|
|
result_type& __xr = __x_[__i_];
|
|
result_type __new_c = __c_ == 0 ? __xs < __xr : __xs != 0 ? __xs <= __xr : 1;
|
|
__xr = (__xs - __xr - __c_) & _Max;
|
|
__c_ = __new_c;
|
|
__i_ = (__i_ + 1) % __r;
|
|
return __xr;
|
|
}
|
|
|
|
template<class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
bool
|
|
operator==(
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __y)
|
|
{
|
|
if (__x.__c_ != __y.__c_)
|
|
return false;
|
|
if (__x.__i_ == __y.__i_)
|
|
return _VSTD::equal(__x.__x_, __x.__x_ + _Rp, __y.__x_);
|
|
if (__x.__i_ == 0 || __y.__i_ == 0)
|
|
{
|
|
size_t __j = _VSTD::min(_Rp - __x.__i_, _Rp - __y.__i_);
|
|
if (!_VSTD::equal(__x.__x_ + __x.__i_, __x.__x_ + __x.__i_ + __j,
|
|
__y.__x_ + __y.__i_))
|
|
return false;
|
|
if (__x.__i_ == 0)
|
|
return _VSTD::equal(__x.__x_ + __j, __x.__x_ + _Rp, __y.__x_);
|
|
return _VSTD::equal(__x.__x_, __x.__x_ + (_Rp - __j), __y.__x_ + __j);
|
|
}
|
|
if (__x.__i_ < __y.__i_)
|
|
{
|
|
size_t __j = _Rp - __y.__i_;
|
|
if (!_VSTD::equal(__x.__x_ + __x.__i_, __x.__x_ + (__x.__i_ + __j),
|
|
__y.__x_ + __y.__i_))
|
|
return false;
|
|
if (!_VSTD::equal(__x.__x_ + (__x.__i_ + __j), __x.__x_ + _Rp,
|
|
__y.__x_))
|
|
return false;
|
|
return _VSTD::equal(__x.__x_, __x.__x_ + __x.__i_,
|
|
__y.__x_ + (_Rp - (__x.__i_ + __j)));
|
|
}
|
|
size_t __j = _Rp - __x.__i_;
|
|
if (!_VSTD::equal(__y.__x_ + __y.__i_, __y.__x_ + (__y.__i_ + __j),
|
|
__x.__x_ + __x.__i_))
|
|
return false;
|
|
if (!_VSTD::equal(__y.__x_ + (__y.__i_ + __j), __y.__x_ + _Rp,
|
|
__x.__x_))
|
|
return false;
|
|
return _VSTD::equal(__y.__x_, __y.__x_ + __y.__i_,
|
|
__x.__x_ + (_Rp - (__y.__i_ + __j)));
|
|
}
|
|
|
|
template<class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator!=(
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __y)
|
|
{
|
|
return !(__x == __y);
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.__x_[__x.__i_];
|
|
for (size_t __j = __x.__i_ + 1; __j < _Rp; ++__j)
|
|
__os << __sp << __x.__x_[__j];
|
|
for (size_t __j = 0; __j < __x.__i_; ++__j)
|
|
__os << __sp << __x.__x_[__j];
|
|
__os << __sp << __x.__c_;
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _UI, size_t _Wp, size_t _Sp, size_t _Rp>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
subtract_with_carry_engine<_UI, _Wp, _Sp, _Rp>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
_UI __t[_Rp+1];
|
|
for (size_t __i = 0; __i < _Rp+1; ++__i)
|
|
__is >> __t[__i];
|
|
if (!__is.fail())
|
|
{
|
|
for (size_t __i = 0; __i < _Rp; ++__i)
|
|
__x.__x_[__i] = __t[__i];
|
|
__x.__c_ = __t[_Rp];
|
|
__x.__i_ = 0;
|
|
}
|
|
return __is;
|
|
}
|
|
|
|
typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24> ranlux24_base;
|
|
typedef subtract_with_carry_engine<uint_fast64_t, 48, 5, 12> ranlux48_base;
|
|
|
|
// discard_block_engine
|
|
|
|
template<class _Engine, size_t __p, size_t __r>
|
|
class _LIBCPP_TYPE_VIS_ONLY discard_block_engine
|
|
{
|
|
_Engine __e_;
|
|
int __n_;
|
|
|
|
static_assert( 0 < __r, "discard_block_engine invalid parameters");
|
|
static_assert(__r <= __p, "discard_block_engine invalid parameters");
|
|
public:
|
|
// types
|
|
typedef typename _Engine::result_type result_type;
|
|
|
|
// engine characteristics
|
|
static _LIBCPP_CONSTEXPR const size_t block_size = __p;
|
|
static _LIBCPP_CONSTEXPR const size_t used_block = __r;
|
|
|
|
#ifdef _LIBCPP_HAS_NO_CONSTEXPR
|
|
static const result_type _Min = _Engine::_Min;
|
|
static const result_type _Max = _Engine::_Max;
|
|
#else
|
|
static _LIBCPP_CONSTEXPR const result_type _Min = _Engine::min();
|
|
static _LIBCPP_CONSTEXPR const result_type _Max = _Engine::max();
|
|
#endif
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type min() { return _Engine::min(); }
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type max() { return _Engine::max(); }
|
|
|
|
// constructors and seeding functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
discard_block_engine() : __n_(0) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit discard_block_engine(const _Engine& __e)
|
|
: __e_(__e), __n_(0) {}
|
|
#ifndef _LIBCPP_HAS_NO_RVALUE_REFERENCES
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit discard_block_engine(_Engine&& __e)
|
|
: __e_(_VSTD::move(__e)), __n_(0) {}
|
|
#endif // _LIBCPP_HAS_NO_RVALUE_REFERENCES
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit discard_block_engine(result_type __sd) : __e_(__sd), __n_(0) {}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit discard_block_engine(_Sseq& __q,
|
|
typename enable_if<__is_seed_sequence<_Sseq, discard_block_engine>::value &&
|
|
!is_convertible<_Sseq, _Engine>::value>::type* = 0)
|
|
: __e_(__q), __n_(0) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed() {__e_.seed(); __n_ = 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(result_type __sd) {__e_.seed(__sd); __n_ = 0;}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
__is_seed_sequence<_Sseq, discard_block_engine>::value,
|
|
void
|
|
>::type
|
|
seed(_Sseq& __q) {__e_.seed(__q); __n_ = 0;}
|
|
|
|
// generating functions
|
|
result_type operator()();
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void discard(unsigned long long __z) {for (; __z; --__z) operator()();}
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
const _Engine& base() const _NOEXCEPT {return __e_;}
|
|
|
|
template<class _Eng, size_t _Pp, size_t _Rp>
|
|
friend
|
|
bool
|
|
operator==(
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __x,
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __y);
|
|
|
|
template<class _Eng, size_t _Pp, size_t _Rp>
|
|
friend
|
|
bool
|
|
operator!=(
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __x,
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __y);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Pp, size_t _Rp>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __x);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Pp, size_t _Rp>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
discard_block_engine<_Eng, _Pp, _Rp>& __x);
|
|
};
|
|
|
|
template<class _Engine, size_t __p, size_t __r>
|
|
_LIBCPP_CONSTEXPR const size_t discard_block_engine<_Engine, __p, __r>::block_size;
|
|
|
|
template<class _Engine, size_t __p, size_t __r>
|
|
_LIBCPP_CONSTEXPR const size_t discard_block_engine<_Engine, __p, __r>::used_block;
|
|
|
|
template<class _Engine, size_t __p, size_t __r>
|
|
typename discard_block_engine<_Engine, __p, __r>::result_type
|
|
discard_block_engine<_Engine, __p, __r>::operator()()
|
|
{
|
|
if (__n_ >= __r)
|
|
{
|
|
__e_.discard(__p - __r);
|
|
__n_ = 0;
|
|
}
|
|
++__n_;
|
|
return __e_();
|
|
}
|
|
|
|
template<class _Eng, size_t _Pp, size_t _Rp>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator==(const discard_block_engine<_Eng, _Pp, _Rp>& __x,
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __y)
|
|
{
|
|
return __x.__n_ == __y.__n_ && __x.__e_ == __y.__e_;
|
|
}
|
|
|
|
template<class _Eng, size_t _Pp, size_t _Rp>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator!=(const discard_block_engine<_Eng, _Pp, _Rp>& __x,
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __y)
|
|
{
|
|
return !(__x == __y);
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Pp, size_t _Rp>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const discard_block_engine<_Eng, _Pp, _Rp>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
return __os << __x.__e_ << __sp << __x.__n_;
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Pp, size_t _Rp>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
discard_block_engine<_Eng, _Pp, _Rp>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
_Eng __e;
|
|
int __n;
|
|
__is >> __e >> __n;
|
|
if (!__is.fail())
|
|
{
|
|
__x.__e_ = __e;
|
|
__x.__n_ = __n;
|
|
}
|
|
return __is;
|
|
}
|
|
|
|
typedef discard_block_engine<ranlux24_base, 223, 23> ranlux24;
|
|
typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48;
|
|
|
|
// independent_bits_engine
|
|
|
|
template<class _Engine, size_t __w, class _UIntType>
|
|
class _LIBCPP_TYPE_VIS_ONLY independent_bits_engine
|
|
{
|
|
template <class _UI, _UI _R0, size_t _Wp, size_t _Mp>
|
|
class __get_n
|
|
{
|
|
static _LIBCPP_CONSTEXPR const size_t _Dt = numeric_limits<_UI>::digits;
|
|
static _LIBCPP_CONSTEXPR const size_t _Np = _Wp / _Mp + (_Wp % _Mp != 0);
|
|
static _LIBCPP_CONSTEXPR const size_t _W0 = _Wp / _Np;
|
|
static _LIBCPP_CONSTEXPR const _UI _Y0 = _W0 >= _Dt ? 0 : (_R0 >> _W0) << _W0;
|
|
public:
|
|
static _LIBCPP_CONSTEXPR const size_t value = _R0 - _Y0 > _Y0 / _Np ? _Np + 1 : _Np;
|
|
};
|
|
public:
|
|
// types
|
|
typedef _UIntType result_type;
|
|
|
|
private:
|
|
_Engine __e_;
|
|
|
|
static _LIBCPP_CONSTEXPR const result_type _Dt = numeric_limits<result_type>::digits;
|
|
static_assert( 0 < __w, "independent_bits_engine invalid parameters");
|
|
static_assert(__w <= _Dt, "independent_bits_engine invalid parameters");
|
|
|
|
typedef typename _Engine::result_type _Engine_result_type;
|
|
typedef typename conditional
|
|
<
|
|
sizeof(_Engine_result_type) <= sizeof(result_type),
|
|
result_type,
|
|
_Engine_result_type
|
|
>::type _Working_result_type;
|
|
#ifdef _LIBCPP_HAS_NO_CONSTEXPR
|
|
static const _Working_result_type _Rp = _Engine::_Max - _Engine::_Min
|
|
+ _Working_result_type(1);
|
|
#else
|
|
static _LIBCPP_CONSTEXPR const _Working_result_type _Rp = _Engine::max() - _Engine::min()
|
|
+ _Working_result_type(1);
|
|
#endif
|
|
static _LIBCPP_CONSTEXPR const size_t __m = __log2<_Working_result_type, _Rp>::value;
|
|
static _LIBCPP_CONSTEXPR const size_t __n = __get_n<_Working_result_type, _Rp, __w, __m>::value;
|
|
static _LIBCPP_CONSTEXPR const size_t __w0 = __w / __n;
|
|
static _LIBCPP_CONSTEXPR const size_t __n0 = __n - __w % __n;
|
|
static _LIBCPP_CONSTEXPR const size_t _WDt = numeric_limits<_Working_result_type>::digits;
|
|
static _LIBCPP_CONSTEXPR const size_t _EDt = numeric_limits<_Engine_result_type>::digits;
|
|
static _LIBCPP_CONSTEXPR const _Working_result_type __y0 = __w0 >= _WDt ? 0 :
|
|
(_Rp >> __w0) << __w0;
|
|
static _LIBCPP_CONSTEXPR const _Working_result_type __y1 = __w0 >= _WDt - 1 ? 0 :
|
|
(_Rp >> (__w0+1)) << (__w0+1);
|
|
static _LIBCPP_CONSTEXPR const _Engine_result_type __mask0 = __w0 > 0 ?
|
|
_Engine_result_type(~0) >> (_EDt - __w0) :
|
|
_Engine_result_type(0);
|
|
static _LIBCPP_CONSTEXPR const _Engine_result_type __mask1 = __w0 < _EDt - 1 ?
|
|
_Engine_result_type(~0) >> (_EDt - (__w0 + 1)) :
|
|
_Engine_result_type(~0);
|
|
public:
|
|
static _LIBCPP_CONSTEXPR const result_type _Min = 0;
|
|
static _LIBCPP_CONSTEXPR const result_type _Max = __w == _Dt ? result_type(~0) :
|
|
(result_type(1) << __w) - result_type(1);
|
|
static_assert(_Min < _Max, "independent_bits_engine invalid parameters");
|
|
|
|
// engine characteristics
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type min() { return _Min; }
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type max() { return _Max; }
|
|
|
|
// constructors and seeding functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
independent_bits_engine() {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit independent_bits_engine(const _Engine& __e)
|
|
: __e_(__e) {}
|
|
#ifndef _LIBCPP_HAS_NO_RVALUE_REFERENCES
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit independent_bits_engine(_Engine&& __e)
|
|
: __e_(_VSTD::move(__e)) {}
|
|
#endif // _LIBCPP_HAS_NO_RVALUE_REFERENCES
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit independent_bits_engine(result_type __sd) : __e_(__sd) {}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit independent_bits_engine(_Sseq& __q,
|
|
typename enable_if<__is_seed_sequence<_Sseq, independent_bits_engine>::value &&
|
|
!is_convertible<_Sseq, _Engine>::value>::type* = 0)
|
|
: __e_(__q) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed() {__e_.seed();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(result_type __sd) {__e_.seed(__sd);}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
__is_seed_sequence<_Sseq, independent_bits_engine>::value,
|
|
void
|
|
>::type
|
|
seed(_Sseq& __q) {__e_.seed(__q);}
|
|
|
|
// generating functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()() {return __eval(integral_constant<bool, _Rp != 0>());}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void discard(unsigned long long __z) {for (; __z; --__z) operator()();}
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
const _Engine& base() const _NOEXCEPT {return __e_;}
|
|
|
|
template<class _Eng, size_t _Wp, class _UI>
|
|
friend
|
|
bool
|
|
operator==(
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __x,
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __y);
|
|
|
|
template<class _Eng, size_t _Wp, class _UI>
|
|
friend
|
|
bool
|
|
operator!=(
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __x,
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __y);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Wp, class _UI>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __x);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Wp, class _UI>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
independent_bits_engine<_Eng, _Wp, _UI>& __x);
|
|
|
|
private:
|
|
result_type __eval(false_type);
|
|
result_type __eval(true_type);
|
|
|
|
template <size_t __count>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static
|
|
typename enable_if
|
|
<
|
|
__count < _Dt,
|
|
result_type
|
|
>::type
|
|
__lshift(result_type __x) {return __x << __count;}
|
|
|
|
template <size_t __count>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static
|
|
typename enable_if
|
|
<
|
|
(__count >= _Dt),
|
|
result_type
|
|
>::type
|
|
__lshift(result_type) {return result_type(0);}
|
|
};
|
|
|
|
template<class _Engine, size_t __w, class _UIntType>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
_UIntType
|
|
independent_bits_engine<_Engine, __w, _UIntType>::__eval(false_type)
|
|
{
|
|
return static_cast<result_type>(__e_() & __mask0);
|
|
}
|
|
|
|
template<class _Engine, size_t __w, class _UIntType>
|
|
_UIntType
|
|
independent_bits_engine<_Engine, __w, _UIntType>::__eval(true_type)
|
|
{
|
|
result_type _Sp = 0;
|
|
for (size_t __k = 0; __k < __n0; ++__k)
|
|
{
|
|
_Engine_result_type __u;
|
|
do
|
|
{
|
|
__u = __e_() - _Engine::min();
|
|
} while (__u >= __y0);
|
|
_Sp = static_cast<result_type>(__lshift<__w0>(_Sp) + (__u & __mask0));
|
|
}
|
|
for (size_t __k = __n0; __k < __n; ++__k)
|
|
{
|
|
_Engine_result_type __u;
|
|
do
|
|
{
|
|
__u = __e_() - _Engine::min();
|
|
} while (__u >= __y1);
|
|
_Sp = static_cast<result_type>(__lshift<__w0+1>(_Sp) + (__u & __mask1));
|
|
}
|
|
return _Sp;
|
|
}
|
|
|
|
template<class _Eng, size_t _Wp, class _UI>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator==(
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __x,
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __y)
|
|
{
|
|
return __x.base() == __y.base();
|
|
}
|
|
|
|
template<class _Eng, size_t _Wp, class _UI>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator!=(
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __x,
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __y)
|
|
{
|
|
return !(__x == __y);
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Wp, class _UI>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const independent_bits_engine<_Eng, _Wp, _UI>& __x)
|
|
{
|
|
return __os << __x.base();
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Wp, class _UI>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
independent_bits_engine<_Eng, _Wp, _UI>& __x)
|
|
{
|
|
_Eng __e;
|
|
__is >> __e;
|
|
if (!__is.fail())
|
|
__x.__e_ = __e;
|
|
return __is;
|
|
}
|
|
|
|
// shuffle_order_engine
|
|
|
|
template <uint64_t _Xp, uint64_t _Yp>
|
|
struct __ugcd
|
|
{
|
|
static _LIBCPP_CONSTEXPR const uint64_t value = __ugcd<_Yp, _Xp % _Yp>::value;
|
|
};
|
|
|
|
template <uint64_t _Xp>
|
|
struct __ugcd<_Xp, 0>
|
|
{
|
|
static _LIBCPP_CONSTEXPR const uint64_t value = _Xp;
|
|
};
|
|
|
|
template <uint64_t _Np, uint64_t _Dp>
|
|
class __uratio
|
|
{
|
|
static_assert(_Dp != 0, "__uratio divide by 0");
|
|
static _LIBCPP_CONSTEXPR const uint64_t __gcd = __ugcd<_Np, _Dp>::value;
|
|
public:
|
|
static _LIBCPP_CONSTEXPR const uint64_t num = _Np / __gcd;
|
|
static _LIBCPP_CONSTEXPR const uint64_t den = _Dp / __gcd;
|
|
|
|
typedef __uratio<num, den> type;
|
|
};
|
|
|
|
template<class _Engine, size_t __k>
|
|
class _LIBCPP_TYPE_VIS_ONLY shuffle_order_engine
|
|
{
|
|
static_assert(0 < __k, "shuffle_order_engine invalid parameters");
|
|
public:
|
|
// types
|
|
typedef typename _Engine::result_type result_type;
|
|
|
|
private:
|
|
_Engine __e_;
|
|
result_type _V_[__k];
|
|
result_type _Y_;
|
|
|
|
public:
|
|
// engine characteristics
|
|
static _LIBCPP_CONSTEXPR const size_t table_size = __k;
|
|
|
|
#ifdef _LIBCPP_HAS_NO_CONSTEXPR
|
|
static const result_type _Min = _Engine::_Min;
|
|
static const result_type _Max = _Engine::_Max;
|
|
#else
|
|
static _LIBCPP_CONSTEXPR const result_type _Min = _Engine::min();
|
|
static _LIBCPP_CONSTEXPR const result_type _Max = _Engine::max();
|
|
#endif
|
|
static_assert(_Min < _Max, "shuffle_order_engine invalid parameters");
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type min() { return _Min; }
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type max() { return _Max; }
|
|
|
|
static _LIBCPP_CONSTEXPR const unsigned long long _Rp = _Max - _Min + 1ull;
|
|
|
|
// constructors and seeding functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
shuffle_order_engine() {__init();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit shuffle_order_engine(const _Engine& __e)
|
|
: __e_(__e) {__init();}
|
|
#ifndef _LIBCPP_HAS_NO_RVALUE_REFERENCES
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit shuffle_order_engine(_Engine&& __e)
|
|
: __e_(_VSTD::move(__e)) {__init();}
|
|
#endif // _LIBCPP_HAS_NO_RVALUE_REFERENCES
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit shuffle_order_engine(result_type __sd) : __e_(__sd) {__init();}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit shuffle_order_engine(_Sseq& __q,
|
|
typename enable_if<__is_seed_sequence<_Sseq, shuffle_order_engine>::value &&
|
|
!is_convertible<_Sseq, _Engine>::value>::type* = 0)
|
|
: __e_(__q) {__init();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed() {__e_.seed(); __init();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void seed(result_type __sd) {__e_.seed(__sd); __init();}
|
|
template<class _Sseq>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
__is_seed_sequence<_Sseq, shuffle_order_engine>::value,
|
|
void
|
|
>::type
|
|
seed(_Sseq& __q) {__e_.seed(__q); __init();}
|
|
|
|
// generating functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()() {return __eval(integral_constant<bool, _Rp != 0>());}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void discard(unsigned long long __z) {for (; __z; --__z) operator()();}
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
const _Engine& base() const _NOEXCEPT {return __e_;}
|
|
|
|
private:
|
|
template<class _Eng, size_t _Kp>
|
|
friend
|
|
bool
|
|
operator==(
|
|
const shuffle_order_engine<_Eng, _Kp>& __x,
|
|
const shuffle_order_engine<_Eng, _Kp>& __y);
|
|
|
|
template<class _Eng, size_t _Kp>
|
|
friend
|
|
bool
|
|
operator!=(
|
|
const shuffle_order_engine<_Eng, _Kp>& __x,
|
|
const shuffle_order_engine<_Eng, _Kp>& __y);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Kp>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const shuffle_order_engine<_Eng, _Kp>& __x);
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Kp>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
shuffle_order_engine<_Eng, _Kp>& __x);
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void __init()
|
|
{
|
|
for (size_t __i = 0; __i < __k; ++__i)
|
|
_V_[__i] = __e_();
|
|
_Y_ = __e_();
|
|
}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type __eval(false_type) {return __eval2(integral_constant<bool, __k & 1>());}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type __eval(true_type) {return __eval(__uratio<__k, _Rp>());}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type __eval2(false_type) {return __eval(__uratio<__k/2, 0x8000000000000000ull>());}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type __eval2(true_type) {return __evalf<__k, 0>();}
|
|
|
|
template <uint64_t _Np, uint64_t _Dp>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
(__uratio<_Np, _Dp>::num > 0xFFFFFFFFFFFFFFFFull / (_Max - _Min)),
|
|
result_type
|
|
>::type
|
|
__eval(__uratio<_Np, _Dp>)
|
|
{return __evalf<__uratio<_Np, _Dp>::num, __uratio<_Np, _Dp>::den>();}
|
|
|
|
template <uint64_t _Np, uint64_t _Dp>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
typename enable_if
|
|
<
|
|
__uratio<_Np, _Dp>::num <= 0xFFFFFFFFFFFFFFFFull / (_Max - _Min),
|
|
result_type
|
|
>::type
|
|
__eval(__uratio<_Np, _Dp>)
|
|
{
|
|
const size_t __j = static_cast<size_t>(__uratio<_Np, _Dp>::num * (_Y_ - _Min)
|
|
/ __uratio<_Np, _Dp>::den);
|
|
_Y_ = _V_[__j];
|
|
_V_[__j] = __e_();
|
|
return _Y_;
|
|
}
|
|
|
|
template <uint64_t __n, uint64_t __d>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type __evalf()
|
|
{
|
|
const double _Fp = __d == 0 ?
|
|
__n / (2. * 0x8000000000000000ull) :
|
|
__n / (double)__d;
|
|
const size_t __j = static_cast<size_t>(_Fp * (_Y_ - _Min));
|
|
_Y_ = _V_[__j];
|
|
_V_[__j] = __e_();
|
|
return _Y_;
|
|
}
|
|
};
|
|
|
|
template<class _Engine, size_t __k>
|
|
_LIBCPP_CONSTEXPR const size_t shuffle_order_engine<_Engine, __k>::table_size;
|
|
|
|
template<class _Eng, size_t _Kp>
|
|
bool
|
|
operator==(
|
|
const shuffle_order_engine<_Eng, _Kp>& __x,
|
|
const shuffle_order_engine<_Eng, _Kp>& __y)
|
|
{
|
|
return __x._Y_ == __y._Y_ && _VSTD::equal(__x._V_, __x._V_ + _Kp, __y._V_) &&
|
|
__x.__e_ == __y.__e_;
|
|
}
|
|
|
|
template<class _Eng, size_t _Kp>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bool
|
|
operator!=(
|
|
const shuffle_order_engine<_Eng, _Kp>& __x,
|
|
const shuffle_order_engine<_Eng, _Kp>& __y)
|
|
{
|
|
return !(__x == __y);
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Kp>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const shuffle_order_engine<_Eng, _Kp>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.__e_ << __sp << __x._V_[0];
|
|
for (size_t __i = 1; __i < _Kp; ++__i)
|
|
__os << __sp << __x._V_[__i];
|
|
return __os << __sp << __x._Y_;
|
|
}
|
|
|
|
template <class _CharT, class _Traits,
|
|
class _Eng, size_t _Kp>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
shuffle_order_engine<_Eng, _Kp>& __x)
|
|
{
|
|
typedef typename shuffle_order_engine<_Eng, _Kp>::result_type result_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
_Eng __e;
|
|
result_type _Vp[_Kp+1];
|
|
__is >> __e;
|
|
for (size_t __i = 0; __i < _Kp+1; ++__i)
|
|
__is >> _Vp[__i];
|
|
if (!__is.fail())
|
|
{
|
|
__x.__e_ = __e;
|
|
for (size_t __i = 0; __i < _Kp; ++__i)
|
|
__x._V_[__i] = _Vp[__i];
|
|
__x._Y_ = _Vp[_Kp];
|
|
}
|
|
return __is;
|
|
}
|
|
|
|
typedef shuffle_order_engine<minstd_rand0, 256> knuth_b;
|
|
|
|
// random_device
|
|
|
|
class _LIBCPP_TYPE_VIS random_device
|
|
{
|
|
#ifdef _LIBCPP_USING_DEV_RANDOM
|
|
int __f_;
|
|
#endif // defined(_LIBCPP_USING_DEV_RANDOM)
|
|
public:
|
|
// types
|
|
typedef unsigned result_type;
|
|
|
|
// generator characteristics
|
|
static _LIBCPP_CONSTEXPR const result_type _Min = 0;
|
|
static _LIBCPP_CONSTEXPR const result_type _Max = 0xFFFFFFFFu;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type min() { return _Min;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static _LIBCPP_CONSTEXPR result_type max() { return _Max;}
|
|
|
|
// constructors
|
|
explicit random_device(const string& __token = "/dev/urandom");
|
|
~random_device();
|
|
|
|
// generating functions
|
|
result_type operator()();
|
|
|
|
// property functions
|
|
double entropy() const _NOEXCEPT;
|
|
|
|
private:
|
|
// no copy functions
|
|
random_device(const random_device&); // = delete;
|
|
random_device& operator=(const random_device&); // = delete;
|
|
};
|
|
|
|
// seed_seq
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY seed_seq
|
|
{
|
|
public:
|
|
// types
|
|
typedef uint32_t result_type;
|
|
|
|
private:
|
|
vector<result_type> __v_;
|
|
|
|
template<class _InputIterator>
|
|
void init(_InputIterator __first, _InputIterator __last);
|
|
public:
|
|
// constructors
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
seed_seq() _NOEXCEPT {}
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _Tp>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
seed_seq(initializer_list<_Tp> __il) {init(__il.begin(), __il.end());}
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
|
|
template<class _InputIterator>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
seed_seq(_InputIterator __first, _InputIterator __last)
|
|
{init(__first, __last);}
|
|
|
|
// generating functions
|
|
template<class _RandomAccessIterator>
|
|
void generate(_RandomAccessIterator __first, _RandomAccessIterator __last);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
size_t size() const _NOEXCEPT {return __v_.size();}
|
|
template<class _OutputIterator>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(_OutputIterator __dest) const
|
|
{_VSTD::copy(__v_.begin(), __v_.end(), __dest);}
|
|
|
|
private:
|
|
// no copy functions
|
|
seed_seq(const seed_seq&); // = delete;
|
|
void operator=(const seed_seq&); // = delete;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
static result_type _Tp(result_type __x) {return __x ^ (__x >> 27);}
|
|
};
|
|
|
|
template<class _InputIterator>
|
|
void
|
|
seed_seq::init(_InputIterator __first, _InputIterator __last)
|
|
{
|
|
for (_InputIterator __s = __first; __s != __last; ++__s)
|
|
__v_.push_back(*__s & 0xFFFFFFFF);
|
|
}
|
|
|
|
template<class _RandomAccessIterator>
|
|
void
|
|
seed_seq::generate(_RandomAccessIterator __first, _RandomAccessIterator __last)
|
|
{
|
|
if (__first != __last)
|
|
{
|
|
_VSTD::fill(__first, __last, 0x8b8b8b8b);
|
|
const size_t __n = static_cast<size_t>(__last - __first);
|
|
const size_t __s = __v_.size();
|
|
const size_t __t = (__n >= 623) ? 11
|
|
: (__n >= 68) ? 7
|
|
: (__n >= 39) ? 5
|
|
: (__n >= 7) ? 3
|
|
: (__n - 1) / 2;
|
|
const size_t __p = (__n - __t) / 2;
|
|
const size_t __q = __p + __t;
|
|
const size_t __m = _VSTD::max(__s + 1, __n);
|
|
// __k = 0;
|
|
{
|
|
result_type __r = 1664525 * _Tp(__first[0] ^ __first[__p]
|
|
^ __first[__n - 1]);
|
|
__first[__p] += __r;
|
|
__r += __s;
|
|
__first[__q] += __r;
|
|
__first[0] = __r;
|
|
}
|
|
for (size_t __k = 1; __k <= __s; ++__k)
|
|
{
|
|
const size_t __kmodn = __k % __n;
|
|
const size_t __kpmodn = (__k + __p) % __n;
|
|
result_type __r = 1664525 * _Tp(__first[__kmodn] ^ __first[__kpmodn]
|
|
^ __first[(__k - 1) % __n]);
|
|
__first[__kpmodn] += __r;
|
|
__r += __kmodn + __v_[__k-1];
|
|
__first[(__k + __q) % __n] += __r;
|
|
__first[__kmodn] = __r;
|
|
}
|
|
for (size_t __k = __s + 1; __k < __m; ++__k)
|
|
{
|
|
const size_t __kmodn = __k % __n;
|
|
const size_t __kpmodn = (__k + __p) % __n;
|
|
result_type __r = 1664525 * _Tp(__first[__kmodn] ^ __first[__kpmodn]
|
|
^ __first[(__k - 1) % __n]);
|
|
__first[__kpmodn] += __r;
|
|
__r += __kmodn;
|
|
__first[(__k + __q) % __n] += __r;
|
|
__first[__kmodn] = __r;
|
|
}
|
|
for (size_t __k = __m; __k < __m + __n; ++__k)
|
|
{
|
|
const size_t __kmodn = __k % __n;
|
|
const size_t __kpmodn = (__k + __p) % __n;
|
|
result_type __r = 1566083941 * _Tp(__first[__kmodn] +
|
|
__first[__kpmodn] +
|
|
__first[(__k - 1) % __n]);
|
|
__first[__kpmodn] ^= __r;
|
|
__r -= __kmodn;
|
|
__first[(__k + __q) % __n] ^= __r;
|
|
__first[__kmodn] = __r;
|
|
}
|
|
}
|
|
}
|
|
|
|
// generate_canonical
|
|
|
|
template<class _RealType, size_t __bits, class _URNG>
|
|
_RealType
|
|
generate_canonical(_URNG& __g)
|
|
{
|
|
const size_t _Dt = numeric_limits<_RealType>::digits;
|
|
const size_t __b = _Dt < __bits ? _Dt : __bits;
|
|
#ifdef _LIBCPP_HAS_NO_CONSTEXPR
|
|
const size_t __logR = __log2<uint64_t, _URNG::_Max - _URNG::_Min + uint64_t(1)>::value;
|
|
#else
|
|
const size_t __logR = __log2<uint64_t, _URNG::max() - _URNG::min() + uint64_t(1)>::value;
|
|
#endif
|
|
const size_t __k = __b / __logR + (__b % __logR != 0) + (__b == 0);
|
|
const _RealType _Rp = _URNG::max() - _URNG::min() + _RealType(1);
|
|
_RealType __base = _Rp;
|
|
_RealType _Sp = __g() - _URNG::min();
|
|
for (size_t __i = 1; __i < __k; ++__i, __base *= _Rp)
|
|
_Sp += (__g() - _URNG::min()) * __base;
|
|
return _Sp / __base;
|
|
}
|
|
|
|
// uniform_int_distribution
|
|
|
|
// in <algorithm>
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const uniform_int_distribution<_IT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
return __os << __x.a() << __sp << __x.b();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
uniform_int_distribution<_IT>& __x)
|
|
{
|
|
typedef uniform_int_distribution<_IT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __a;
|
|
result_type __b;
|
|
__is >> __a >> __b;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__a, __b));
|
|
return __is;
|
|
}
|
|
|
|
// uniform_real_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY uniform_real_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __a_;
|
|
result_type __b_;
|
|
public:
|
|
typedef uniform_real_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __a = 0,
|
|
result_type __b = 1)
|
|
: __a_(__a), __b_(__b) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __a_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __b_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__a_ == __y.__a_ && __x.__b_ == __y.__b_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit uniform_real_distribution(result_type __a = 0, result_type __b = 1)
|
|
: __p_(param_type(__a, __b)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit uniform_real_distribution(const param_type& __p) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __p_.a();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __p_.b();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return a();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return b();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const uniform_real_distribution& __x,
|
|
const uniform_real_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const uniform_real_distribution& __x,
|
|
const uniform_real_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template<class _RealType>
|
|
template<class _URNG>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
typename uniform_real_distribution<_RealType>::result_type
|
|
uniform_real_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
return (__p.b() - __p.a())
|
|
* _VSTD::generate_canonical<_RealType, numeric_limits<_RealType>::digits>(__g)
|
|
+ __p.a();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const uniform_real_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
return __os << __x.a() << __sp << __x.b();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
uniform_real_distribution<_RT>& __x)
|
|
{
|
|
typedef uniform_real_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __a;
|
|
result_type __b;
|
|
__is >> __a >> __b;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__a, __b));
|
|
return __is;
|
|
}
|
|
|
|
// bernoulli_distribution
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY bernoulli_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef bool result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
double __p_;
|
|
public:
|
|
typedef bernoulli_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(double __p = 0.5) : __p_(__p) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit bernoulli_distribution(double __p = 0.5)
|
|
: __p_(param_type(__p)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit bernoulli_distribution(const param_type& __p) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_.p();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return false;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return true;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const bernoulli_distribution& __x,
|
|
const bernoulli_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const bernoulli_distribution& __x,
|
|
const bernoulli_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template<class _URNG>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
bernoulli_distribution::result_type
|
|
bernoulli_distribution::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
uniform_real_distribution<double> __gen;
|
|
return __gen(__g) < __p.p();
|
|
}
|
|
|
|
template <class _CharT, class _Traits>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os, const bernoulli_distribution& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
return __os << __x.p();
|
|
}
|
|
|
|
template <class _CharT, class _Traits>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is, bernoulli_distribution& __x)
|
|
{
|
|
typedef bernoulli_distribution _Eng;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
double __p;
|
|
__is >> __p;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__p));
|
|
return __is;
|
|
}
|
|
|
|
// binomial_distribution
|
|
|
|
template<class _IntType = int>
|
|
class _LIBCPP_TYPE_VIS_ONLY binomial_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _IntType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __t_;
|
|
double __p_;
|
|
double __pr_;
|
|
double __odds_ratio_;
|
|
result_type __r0_;
|
|
public:
|
|
typedef binomial_distribution distribution_type;
|
|
|
|
explicit param_type(result_type __t = 1, double __p = 0.5);
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type t() const {return __t_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__t_ == __y.__t_ && __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
|
|
friend class binomial_distribution;
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit binomial_distribution(result_type __t = 1, double __p = 0.5)
|
|
: __p_(param_type(__t, __p)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit binomial_distribution(const param_type& __p) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type t() const {return __p_.t();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_.p();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return t();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const binomial_distribution& __x,
|
|
const binomial_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const binomial_distribution& __x,
|
|
const binomial_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template<class _IntType>
|
|
binomial_distribution<_IntType>::param_type::param_type(result_type __t, double __p)
|
|
: __t_(__t), __p_(__p)
|
|
{
|
|
if (0 < __p_ && __p_ < 1)
|
|
{
|
|
__r0_ = static_cast<result_type>((__t_ + 1) * __p_);
|
|
__pr_ = _VSTD::exp(_VSTD::lgamma(__t_ + 1.) - _VSTD::lgamma(__r0_ + 1.) -
|
|
_VSTD::lgamma(__t_ - __r0_ + 1.) + __r0_ * _VSTD::log(__p_) +
|
|
(__t_ - __r0_) * _VSTD::log(1 - __p_));
|
|
__odds_ratio_ = __p_ / (1 - __p_);
|
|
}
|
|
}
|
|
|
|
// Reference: Kemp, C.D. (1986). `A modal method for generating binomial
|
|
// variables', Commun. Statist. - Theor. Meth. 15(3), 805-813.
|
|
template<class _IntType>
|
|
template<class _URNG>
|
|
_IntType
|
|
binomial_distribution<_IntType>::operator()(_URNG& __g, const param_type& __pr)
|
|
{
|
|
if (__pr.__t_ == 0 || __pr.__p_ == 0)
|
|
return 0;
|
|
if (__pr.__p_ == 1)
|
|
return __pr.__t_;
|
|
uniform_real_distribution<double> __gen;
|
|
double __u = __gen(__g) - __pr.__pr_;
|
|
if (__u < 0)
|
|
return __pr.__r0_;
|
|
double __pu = __pr.__pr_;
|
|
double __pd = __pu;
|
|
result_type __ru = __pr.__r0_;
|
|
result_type __rd = __ru;
|
|
while (true)
|
|
{
|
|
if (__rd >= 1)
|
|
{
|
|
__pd *= __rd / (__pr.__odds_ratio_ * (__pr.__t_ - __rd + 1));
|
|
__u -= __pd;
|
|
if (__u < 0)
|
|
return __rd - 1;
|
|
}
|
|
if ( __rd != 0 )
|
|
--__rd;
|
|
++__ru;
|
|
if (__ru <= __pr.__t_)
|
|
{
|
|
__pu *= (__pr.__t_ - __ru + 1) * __pr.__odds_ratio_ / __ru;
|
|
__u -= __pu;
|
|
if (__u < 0)
|
|
return __ru;
|
|
}
|
|
}
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const binomial_distribution<_IntType>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
return __os << __x.t() << __sp << __x.p();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
binomial_distribution<_IntType>& __x)
|
|
{
|
|
typedef binomial_distribution<_IntType> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __t;
|
|
double __p;
|
|
__is >> __t >> __p;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__t, __p));
|
|
return __is;
|
|
}
|
|
|
|
// exponential_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY exponential_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __lambda_;
|
|
public:
|
|
typedef exponential_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __lambda = 1) : __lambda_(__lambda) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type lambda() const {return __lambda_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__lambda_ == __y.__lambda_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit exponential_distribution(result_type __lambda = 1)
|
|
: __p_(param_type(__lambda)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit exponential_distribution(const param_type& __p) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type lambda() const {return __p_.lambda();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const exponential_distribution& __x,
|
|
const exponential_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const exponential_distribution& __x,
|
|
const exponential_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
exponential_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
return -_VSTD::log
|
|
(
|
|
result_type(1) -
|
|
_VSTD::generate_canonical<result_type,
|
|
numeric_limits<result_type>::digits>(__g)
|
|
)
|
|
/ __p.lambda();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RealType>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const exponential_distribution<_RealType>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
return __os << __x.lambda();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RealType>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
exponential_distribution<_RealType>& __x)
|
|
{
|
|
typedef exponential_distribution<_RealType> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __lambda;
|
|
__is >> __lambda;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__lambda));
|
|
return __is;
|
|
}
|
|
|
|
// normal_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY normal_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __mean_;
|
|
result_type __stddev_;
|
|
public:
|
|
typedef normal_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __mean = 0, result_type __stddev = 1)
|
|
: __mean_(__mean), __stddev_(__stddev) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type mean() const {return __mean_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type stddev() const {return __stddev_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__mean_ == __y.__mean_ && __x.__stddev_ == __y.__stddev_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
result_type _V_;
|
|
bool _V_hot_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit normal_distribution(result_type __mean = 0, result_type __stddev = 1)
|
|
: __p_(param_type(__mean, __stddev)), _V_hot_(false) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit normal_distribution(const param_type& __p)
|
|
: __p_(__p), _V_hot_(false) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {_V_hot_ = false;}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type mean() const {return __p_.mean();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type stddev() const {return __p_.stddev();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return -numeric_limits<result_type>::infinity();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const normal_distribution& __x,
|
|
const normal_distribution& __y)
|
|
{return __x.__p_ == __y.__p_ && __x._V_hot_ == __y._V_hot_ &&
|
|
(!__x._V_hot_ || __x._V_ == __y._V_);}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const normal_distribution& __x,
|
|
const normal_distribution& __y)
|
|
{return !(__x == __y);}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const normal_distribution<_RT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
normal_distribution<_RT>& __x);
|
|
};
|
|
|
|
template <class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
normal_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
result_type _Up;
|
|
if (_V_hot_)
|
|
{
|
|
_V_hot_ = false;
|
|
_Up = _V_;
|
|
}
|
|
else
|
|
{
|
|
uniform_real_distribution<result_type> _Uni(-1, 1);
|
|
result_type __u;
|
|
result_type __v;
|
|
result_type __s;
|
|
do
|
|
{
|
|
__u = _Uni(__g);
|
|
__v = _Uni(__g);
|
|
__s = __u * __u + __v * __v;
|
|
} while (__s > 1 || __s == 0);
|
|
result_type _Fp = _VSTD::sqrt(-2 * _VSTD::log(__s) / __s);
|
|
_V_ = __v * _Fp;
|
|
_V_hot_ = true;
|
|
_Up = __u * _Fp;
|
|
}
|
|
return _Up * __p.stddev() + __p.mean();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const normal_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.mean() << __sp << __x.stddev() << __sp << __x._V_hot_;
|
|
if (__x._V_hot_)
|
|
__os << __sp << __x._V_;
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
normal_distribution<_RT>& __x)
|
|
{
|
|
typedef normal_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __mean;
|
|
result_type __stddev;
|
|
result_type _Vp = 0;
|
|
bool _V_hot = false;
|
|
__is >> __mean >> __stddev >> _V_hot;
|
|
if (_V_hot)
|
|
__is >> _Vp;
|
|
if (!__is.fail())
|
|
{
|
|
__x.param(param_type(__mean, __stddev));
|
|
__x._V_hot_ = _V_hot;
|
|
__x._V_ = _Vp;
|
|
}
|
|
return __is;
|
|
}
|
|
|
|
// lognormal_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY lognormal_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
normal_distribution<result_type> __nd_;
|
|
public:
|
|
typedef lognormal_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __m = 0, result_type __s = 1)
|
|
: __nd_(__m, __s) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type m() const {return __nd_.mean();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type s() const {return __nd_.stddev();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__nd_ == __y.__nd_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
friend class lognormal_distribution;
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const lognormal_distribution<_RT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
lognormal_distribution<_RT>& __x);
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit lognormal_distribution(result_type __m = 0, result_type __s = 1)
|
|
: __p_(param_type(__m, __s)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit lognormal_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {__p_.__nd_.reset();}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g, const param_type& __p)
|
|
{return _VSTD::exp(const_cast<normal_distribution<result_type>&>(__p.__nd_)(__g));}
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type m() const {return __p_.m();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type s() const {return __p_.s();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const lognormal_distribution& __x,
|
|
const lognormal_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const lognormal_distribution& __x,
|
|
const lognormal_distribution& __y)
|
|
{return !(__x == __y);}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const lognormal_distribution<_RT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
lognormal_distribution<_RT>& __x);
|
|
};
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const lognormal_distribution<_RT>& __x)
|
|
{
|
|
return __os << __x.__p_.__nd_;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
lognormal_distribution<_RT>& __x)
|
|
{
|
|
return __is >> __x.__p_.__nd_;
|
|
}
|
|
|
|
// poisson_distribution
|
|
|
|
template<class _IntType = int>
|
|
class _LIBCPP_TYPE_VIS_ONLY poisson_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _IntType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
double __mean_;
|
|
double __s_;
|
|
double __d_;
|
|
double __l_;
|
|
double __omega_;
|
|
double __c0_;
|
|
double __c1_;
|
|
double __c2_;
|
|
double __c3_;
|
|
double __c_;
|
|
|
|
public:
|
|
typedef poisson_distribution distribution_type;
|
|
|
|
explicit param_type(double __mean = 1.0);
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double mean() const {return __mean_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__mean_ == __y.__mean_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
|
|
friend class poisson_distribution;
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit poisson_distribution(double __mean = 1.0) : __p_(__mean) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit poisson_distribution(const param_type& __p) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double mean() const {return __p_.mean();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::max();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const poisson_distribution& __x,
|
|
const poisson_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const poisson_distribution& __x,
|
|
const poisson_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template<class _IntType>
|
|
poisson_distribution<_IntType>::param_type::param_type(double __mean)
|
|
: __mean_(__mean)
|
|
{
|
|
if (__mean_ < 10)
|
|
{
|
|
__s_ = 0;
|
|
__d_ = 0;
|
|
__l_ = _VSTD::exp(-__mean_);
|
|
__omega_ = 0;
|
|
__c3_ = 0;
|
|
__c2_ = 0;
|
|
__c1_ = 0;
|
|
__c0_ = 0;
|
|
__c_ = 0;
|
|
}
|
|
else
|
|
{
|
|
__s_ = _VSTD::sqrt(__mean_);
|
|
__d_ = 6 * __mean_ * __mean_;
|
|
__l_ = static_cast<result_type>(__mean_ - 1.1484);
|
|
__omega_ = .3989423 / __s_;
|
|
double __b1_ = .4166667E-1 / __mean_;
|
|
double __b2_ = .3 * __b1_ * __b1_;
|
|
__c3_ = .1428571 * __b1_ * __b2_;
|
|
__c2_ = __b2_ - 15. * __c3_;
|
|
__c1_ = __b1_ - 6. * __b2_ + 45. * __c3_;
|
|
__c0_ = 1. - __b1_ + 3. * __b2_ - 15. * __c3_;
|
|
__c_ = .1069 / __mean_;
|
|
}
|
|
}
|
|
|
|
template <class _IntType>
|
|
template<class _URNG>
|
|
_IntType
|
|
poisson_distribution<_IntType>::operator()(_URNG& __urng, const param_type& __pr)
|
|
{
|
|
result_type __x;
|
|
uniform_real_distribution<double> __urd;
|
|
if (__pr.__mean_ < 10)
|
|
{
|
|
__x = 0;
|
|
for (double __p = __urd(__urng); __p > __pr.__l_; ++__x)
|
|
__p *= __urd(__urng);
|
|
}
|
|
else
|
|
{
|
|
double __difmuk;
|
|
double __g = __pr.__mean_ + __pr.__s_ * normal_distribution<double>()(__urng);
|
|
double __u;
|
|
if (__g > 0)
|
|
{
|
|
__x = static_cast<result_type>(__g);
|
|
if (__x >= __pr.__l_)
|
|
return __x;
|
|
__difmuk = __pr.__mean_ - __x;
|
|
__u = __urd(__urng);
|
|
if (__pr.__d_ * __u >= __difmuk * __difmuk * __difmuk)
|
|
return __x;
|
|
}
|
|
exponential_distribution<double> __edist;
|
|
for (bool __using_exp_dist = false; true; __using_exp_dist = true)
|
|
{
|
|
double __e;
|
|
if (__using_exp_dist || __g < 0)
|
|
{
|
|
double __t;
|
|
do
|
|
{
|
|
__e = __edist(__urng);
|
|
__u = __urd(__urng);
|
|
__u += __u - 1;
|
|
__t = 1.8 + (__u < 0 ? -__e : __e);
|
|
} while (__t <= -.6744);
|
|
__x = __pr.__mean_ + __pr.__s_ * __t;
|
|
__difmuk = __pr.__mean_ - __x;
|
|
__using_exp_dist = true;
|
|
}
|
|
double __px;
|
|
double __py;
|
|
if (__x < 10)
|
|
{
|
|
const result_type __fac[] = {1, 1, 2, 6, 24, 120, 720, 5040,
|
|
40320, 362880};
|
|
__px = -__pr.__mean_;
|
|
__py = _VSTD::pow(__pr.__mean_, (double)__x) / __fac[__x];
|
|
}
|
|
else
|
|
{
|
|
double __del = .8333333E-1 / __x;
|
|
__del -= 4.8 * __del * __del * __del;
|
|
double __v = __difmuk / __x;
|
|
if (_VSTD::abs(__v) > 0.25)
|
|
__px = __x * _VSTD::log(1 + __v) - __difmuk - __del;
|
|
else
|
|
__px = __x * __v * __v * (((((((.1250060 * __v + -.1384794) *
|
|
__v + .1421878) * __v + -.1661269) * __v + .2000118) *
|
|
__v + -.2500068) * __v + .3333333) * __v + -.5) - __del;
|
|
__py = .3989423 / _VSTD::sqrt(__x);
|
|
}
|
|
double __r = (0.5 - __difmuk) / __pr.__s_;
|
|
double __r2 = __r * __r;
|
|
double __fx = -0.5 * __r2;
|
|
double __fy = __pr.__omega_ * (((__pr.__c3_ * __r2 + __pr.__c2_) *
|
|
__r2 + __pr.__c1_) * __r2 + __pr.__c0_);
|
|
if (__using_exp_dist)
|
|
{
|
|
if (__pr.__c_ * _VSTD::abs(__u) <= __py * _VSTD::exp(__px + __e) -
|
|
__fy * _VSTD::exp(__fx + __e))
|
|
break;
|
|
}
|
|
else
|
|
{
|
|
if (__fy - __u * __fy <= __py * _VSTD::exp(__px - __fx))
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
return __x;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const poisson_distribution<_IntType>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
return __os << __x.mean();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
poisson_distribution<_IntType>& __x)
|
|
{
|
|
typedef poisson_distribution<_IntType> _Eng;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
double __mean;
|
|
__is >> __mean;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__mean));
|
|
return __is;
|
|
}
|
|
|
|
// weibull_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY weibull_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __a_;
|
|
result_type __b_;
|
|
public:
|
|
typedef weibull_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __a = 1, result_type __b = 1)
|
|
: __a_(__a), __b_(__b) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __a_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __b_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__a_ == __y.__a_ && __x.__b_ == __y.__b_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit weibull_distribution(result_type __a = 1, result_type __b = 1)
|
|
: __p_(param_type(__a, __b)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit weibull_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g, const param_type& __p)
|
|
{return __p.b() *
|
|
_VSTD::pow(exponential_distribution<result_type>()(__g), 1/__p.a());}
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __p_.a();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __p_.b();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const weibull_distribution& __x,
|
|
const weibull_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const weibull_distribution& __x,
|
|
const weibull_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const weibull_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.a() << __sp << __x.b();
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
weibull_distribution<_RT>& __x)
|
|
{
|
|
typedef weibull_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __a;
|
|
result_type __b;
|
|
__is >> __a >> __b;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__a, __b));
|
|
return __is;
|
|
}
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY extreme_value_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __a_;
|
|
result_type __b_;
|
|
public:
|
|
typedef extreme_value_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __a = 0, result_type __b = 1)
|
|
: __a_(__a), __b_(__b) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __a_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __b_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__a_ == __y.__a_ && __x.__b_ == __y.__b_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit extreme_value_distribution(result_type __a = 0, result_type __b = 1)
|
|
: __p_(param_type(__a, __b)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit extreme_value_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __p_.a();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __p_.b();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return -numeric_limits<result_type>::infinity();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const extreme_value_distribution& __x,
|
|
const extreme_value_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const extreme_value_distribution& __x,
|
|
const extreme_value_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template<class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
extreme_value_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
return __p.a() - __p.b() *
|
|
_VSTD::log(-_VSTD::log(1-uniform_real_distribution<result_type>()(__g)));
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const extreme_value_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.a() << __sp << __x.b();
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
extreme_value_distribution<_RT>& __x)
|
|
{
|
|
typedef extreme_value_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __a;
|
|
result_type __b;
|
|
__is >> __a >> __b;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__a, __b));
|
|
return __is;
|
|
}
|
|
|
|
// gamma_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY gamma_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __alpha_;
|
|
result_type __beta_;
|
|
public:
|
|
typedef gamma_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __alpha = 1, result_type __beta = 1)
|
|
: __alpha_(__alpha), __beta_(__beta) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type alpha() const {return __alpha_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type beta() const {return __beta_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__alpha_ == __y.__alpha_ && __x.__beta_ == __y.__beta_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit gamma_distribution(result_type __alpha = 1, result_type __beta = 1)
|
|
: __p_(param_type(__alpha, __beta)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit gamma_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type alpha() const {return __p_.alpha();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type beta() const {return __p_.beta();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const gamma_distribution& __x,
|
|
const gamma_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const gamma_distribution& __x,
|
|
const gamma_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
gamma_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
result_type __a = __p.alpha();
|
|
uniform_real_distribution<result_type> __gen(0, 1);
|
|
exponential_distribution<result_type> __egen;
|
|
result_type __x;
|
|
if (__a == 1)
|
|
__x = __egen(__g);
|
|
else if (__a > 1)
|
|
{
|
|
const result_type __b = __a - 1;
|
|
const result_type __c = 3 * __a - result_type(0.75);
|
|
while (true)
|
|
{
|
|
const result_type __u = __gen(__g);
|
|
const result_type __v = __gen(__g);
|
|
const result_type __w = __u * (1 - __u);
|
|
if (__w != 0)
|
|
{
|
|
const result_type __y = _VSTD::sqrt(__c / __w) *
|
|
(__u - result_type(0.5));
|
|
__x = __b + __y;
|
|
if (__x >= 0)
|
|
{
|
|
const result_type __z = 64 * __w * __w * __w * __v * __v;
|
|
if (__z <= 1 - 2 * __y * __y / __x)
|
|
break;
|
|
if (_VSTD::log(__z) <= 2 * (__b * _VSTD::log(__x / __b) - __y))
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
else // __a < 1
|
|
{
|
|
while (true)
|
|
{
|
|
const result_type __u = __gen(__g);
|
|
const result_type __es = __egen(__g);
|
|
if (__u <= 1 - __a)
|
|
{
|
|
__x = _VSTD::pow(__u, 1 / __a);
|
|
if (__x <= __es)
|
|
break;
|
|
}
|
|
else
|
|
{
|
|
const result_type __e = -_VSTD::log((1-__u)/__a);
|
|
__x = _VSTD::pow(1 - __a + __a * __e, 1 / __a);
|
|
if (__x <= __e + __es)
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
return __x * __p.beta();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const gamma_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.alpha() << __sp << __x.beta();
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
gamma_distribution<_RT>& __x)
|
|
{
|
|
typedef gamma_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __alpha;
|
|
result_type __beta;
|
|
__is >> __alpha >> __beta;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__alpha, __beta));
|
|
return __is;
|
|
}
|
|
|
|
// negative_binomial_distribution
|
|
|
|
template<class _IntType = int>
|
|
class _LIBCPP_TYPE_VIS_ONLY negative_binomial_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _IntType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __k_;
|
|
double __p_;
|
|
public:
|
|
typedef negative_binomial_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __k = 1, double __p = 0.5)
|
|
: __k_(__k), __p_(__p) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type k() const {return __k_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__k_ == __y.__k_ && __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit negative_binomial_distribution(result_type __k = 1, double __p = 0.5)
|
|
: __p_(__k, __p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit negative_binomial_distribution(const param_type& __p) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type k() const {return __p_.k();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_.p();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::max();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const negative_binomial_distribution& __x,
|
|
const negative_binomial_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const negative_binomial_distribution& __x,
|
|
const negative_binomial_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _IntType>
|
|
template<class _URNG>
|
|
_IntType
|
|
negative_binomial_distribution<_IntType>::operator()(_URNG& __urng, const param_type& __pr)
|
|
{
|
|
result_type __k = __pr.k();
|
|
double __p = __pr.p();
|
|
if (__k <= 21 * __p)
|
|
{
|
|
bernoulli_distribution __gen(__p);
|
|
result_type __f = 0;
|
|
result_type __s = 0;
|
|
while (__s < __k)
|
|
{
|
|
if (__gen(__urng))
|
|
++__s;
|
|
else
|
|
++__f;
|
|
}
|
|
return __f;
|
|
}
|
|
return poisson_distribution<result_type>(gamma_distribution<double>
|
|
(__k, (1-__p)/__p)(__urng))(__urng);
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const negative_binomial_distribution<_IntType>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
return __os << __x.k() << __sp << __x.p();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
negative_binomial_distribution<_IntType>& __x)
|
|
{
|
|
typedef negative_binomial_distribution<_IntType> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __k;
|
|
double __p;
|
|
__is >> __k >> __p;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__k, __p));
|
|
return __is;
|
|
}
|
|
|
|
// geometric_distribution
|
|
|
|
template<class _IntType = int>
|
|
class _LIBCPP_TYPE_VIS_ONLY geometric_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _IntType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
double __p_;
|
|
public:
|
|
typedef geometric_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(double __p = 0.5) : __p_(__p) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructors and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit geometric_distribution(double __p = 0.5) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit geometric_distribution(const param_type& __p) : __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g, const param_type& __p)
|
|
{return negative_binomial_distribution<result_type>(1, __p.p())(__g);}
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
double p() const {return __p_.p();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::max();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const geometric_distribution& __x,
|
|
const geometric_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const geometric_distribution& __x,
|
|
const geometric_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const geometric_distribution<_IntType>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
return __os << __x.p();
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IntType>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
geometric_distribution<_IntType>& __x)
|
|
{
|
|
typedef geometric_distribution<_IntType> _Eng;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
double __p;
|
|
__is >> __p;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__p));
|
|
return __is;
|
|
}
|
|
|
|
// chi_squared_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY chi_squared_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __n_;
|
|
public:
|
|
typedef chi_squared_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __n = 1) : __n_(__n) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type n() const {return __n_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__n_ == __y.__n_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit chi_squared_distribution(result_type __n = 1)
|
|
: __p_(param_type(__n)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit chi_squared_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g, const param_type& __p)
|
|
{return gamma_distribution<result_type>(__p.n() / 2, 2)(__g);}
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type n() const {return __p_.n();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const chi_squared_distribution& __x,
|
|
const chi_squared_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const chi_squared_distribution& __x,
|
|
const chi_squared_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const chi_squared_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
__os << __x.n();
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
chi_squared_distribution<_RT>& __x)
|
|
{
|
|
typedef chi_squared_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __n;
|
|
__is >> __n;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__n));
|
|
return __is;
|
|
}
|
|
|
|
// cauchy_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY cauchy_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __a_;
|
|
result_type __b_;
|
|
public:
|
|
typedef cauchy_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __a = 0, result_type __b = 1)
|
|
: __a_(__a), __b_(__b) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __a_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __b_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__a_ == __y.__a_ && __x.__b_ == __y.__b_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit cauchy_distribution(result_type __a = 0, result_type __b = 1)
|
|
: __p_(param_type(__a, __b)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit cauchy_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type a() const {return __p_.a();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type b() const {return __p_.b();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return -numeric_limits<result_type>::infinity();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const cauchy_distribution& __x,
|
|
const cauchy_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const cauchy_distribution& __x,
|
|
const cauchy_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _RealType>
|
|
template<class _URNG>
|
|
inline _LIBCPP_INLINE_VISIBILITY
|
|
_RealType
|
|
cauchy_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
uniform_real_distribution<result_type> __gen;
|
|
// purposefully let tan arg get as close to pi/2 as it wants, tan will return a finite
|
|
return __p.a() + __p.b() * _VSTD::tan(3.1415926535897932384626433832795 * __gen(__g));
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const cauchy_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.a() << __sp << __x.b();
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
cauchy_distribution<_RT>& __x)
|
|
{
|
|
typedef cauchy_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __a;
|
|
result_type __b;
|
|
__is >> __a >> __b;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__a, __b));
|
|
return __is;
|
|
}
|
|
|
|
// fisher_f_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY fisher_f_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __m_;
|
|
result_type __n_;
|
|
public:
|
|
typedef fisher_f_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __m = 1, result_type __n = 1)
|
|
: __m_(__m), __n_(__n) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type m() const {return __m_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type n() const {return __n_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__m_ == __y.__m_ && __x.__n_ == __y.__n_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit fisher_f_distribution(result_type __m = 1, result_type __n = 1)
|
|
: __p_(param_type(__m, __n)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit fisher_f_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type m() const {return __p_.m();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type n() const {return __p_.n();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const fisher_f_distribution& __x,
|
|
const fisher_f_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const fisher_f_distribution& __x,
|
|
const fisher_f_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
fisher_f_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
gamma_distribution<result_type> __gdm(__p.m() * result_type(.5));
|
|
gamma_distribution<result_type> __gdn(__p.n() * result_type(.5));
|
|
return __p.n() * __gdm(__g) / (__p.m() * __gdn(__g));
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const fisher_f_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
__os << __x.m() << __sp << __x.n();
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
fisher_f_distribution<_RT>& __x)
|
|
{
|
|
typedef fisher_f_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __m;
|
|
result_type __n;
|
|
__is >> __m >> __n;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__m, __n));
|
|
return __is;
|
|
}
|
|
|
|
// student_t_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY student_t_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
result_type __n_;
|
|
public:
|
|
typedef student_t_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit param_type(result_type __n = 1) : __n_(__n) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type n() const {return __n_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__n_ == __y.__n_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
normal_distribution<result_type> __nd_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit student_t_distribution(result_type __n = 1)
|
|
: __p_(param_type(__n)) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit student_t_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {__nd_.reset();}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type n() const {return __p_.n();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return -numeric_limits<result_type>::infinity();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return numeric_limits<result_type>::infinity();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const student_t_distribution& __x,
|
|
const student_t_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const student_t_distribution& __x,
|
|
const student_t_distribution& __y)
|
|
{return !(__x == __y);}
|
|
};
|
|
|
|
template <class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
student_t_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
gamma_distribution<result_type> __gd(__p.n() * .5, 2);
|
|
return __nd_(__g) * _VSTD::sqrt(__p.n()/__gd(__g));
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const student_t_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
__os << __x.n();
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
student_t_distribution<_RT>& __x)
|
|
{
|
|
typedef student_t_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
result_type __n;
|
|
__is >> __n;
|
|
if (!__is.fail())
|
|
__x.param(param_type(__n));
|
|
return __is;
|
|
}
|
|
|
|
// discrete_distribution
|
|
|
|
template<class _IntType = int>
|
|
class _LIBCPP_TYPE_VIS_ONLY discrete_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _IntType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
vector<double> __p_;
|
|
public:
|
|
typedef discrete_distribution distribution_type;
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type() {}
|
|
template<class _InputIterator>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type(_InputIterator __f, _InputIterator __l)
|
|
: __p_(__f, __l) {__init();}
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type(initializer_list<double> __wl)
|
|
: __p_(__wl.begin(), __wl.end()) {__init();}
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
param_type(size_t __nw, double __xmin, double __xmax,
|
|
_UnaryOperation __fw);
|
|
|
|
vector<double> probabilities() const;
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
|
|
private:
|
|
void __init();
|
|
|
|
friend class discrete_distribution;
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const discrete_distribution<_IT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
discrete_distribution<_IT>& __x);
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
discrete_distribution() {}
|
|
template<class _InputIterator>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
discrete_distribution(_InputIterator __f, _InputIterator __l)
|
|
: __p_(__f, __l) {}
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
discrete_distribution(initializer_list<double> __wl)
|
|
: __p_(__wl) {}
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
discrete_distribution(size_t __nw, double __xmin, double __xmax,
|
|
_UnaryOperation __fw)
|
|
: __p_(__nw, __xmin, __xmax, __fw) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit discrete_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<double> probabilities() const {return __p_.probabilities();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return 0;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return __p_.__p_.size();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const discrete_distribution& __x,
|
|
const discrete_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const discrete_distribution& __x,
|
|
const discrete_distribution& __y)
|
|
{return !(__x == __y);}
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const discrete_distribution<_IT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
discrete_distribution<_IT>& __x);
|
|
};
|
|
|
|
template<class _IntType>
|
|
template<class _UnaryOperation>
|
|
discrete_distribution<_IntType>::param_type::param_type(size_t __nw,
|
|
double __xmin,
|
|
double __xmax,
|
|
_UnaryOperation __fw)
|
|
{
|
|
if (__nw > 1)
|
|
{
|
|
__p_.reserve(__nw - 1);
|
|
double __d = (__xmax - __xmin) / __nw;
|
|
double __d2 = __d / 2;
|
|
for (size_t __k = 0; __k < __nw; ++__k)
|
|
__p_.push_back(__fw(__xmin + __k * __d + __d2));
|
|
__init();
|
|
}
|
|
}
|
|
|
|
template<class _IntType>
|
|
void
|
|
discrete_distribution<_IntType>::param_type::__init()
|
|
{
|
|
if (!__p_.empty())
|
|
{
|
|
if (__p_.size() > 1)
|
|
{
|
|
double __s = _VSTD::accumulate(__p_.begin(), __p_.end(), 0.0);
|
|
for (_VSTD::vector<double>::iterator __i = __p_.begin(), __e = __p_.end();
|
|
__i < __e; ++__i)
|
|
*__i /= __s;
|
|
vector<double> __t(__p_.size() - 1);
|
|
_VSTD::partial_sum(__p_.begin(), __p_.end() - 1, __t.begin());
|
|
swap(__p_, __t);
|
|
}
|
|
else
|
|
{
|
|
__p_.clear();
|
|
__p_.shrink_to_fit();
|
|
}
|
|
}
|
|
}
|
|
|
|
template<class _IntType>
|
|
vector<double>
|
|
discrete_distribution<_IntType>::param_type::probabilities() const
|
|
{
|
|
size_t __n = __p_.size();
|
|
_VSTD::vector<double> __p(__n+1);
|
|
_VSTD::adjacent_difference(__p_.begin(), __p_.end(), __p.begin());
|
|
if (__n > 0)
|
|
__p[__n] = 1 - __p_[__n-1];
|
|
else
|
|
__p[0] = 1;
|
|
return __p;
|
|
}
|
|
|
|
template<class _IntType>
|
|
template<class _URNG>
|
|
_IntType
|
|
discrete_distribution<_IntType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
uniform_real_distribution<double> __gen;
|
|
return static_cast<_IntType>(
|
|
_VSTD::upper_bound(__p.__p_.begin(), __p.__p_.end(), __gen(__g)) -
|
|
__p.__p_.begin());
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const discrete_distribution<_IT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
size_t __n = __x.__p_.__p_.size();
|
|
__os << __n;
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__os << __sp << __x.__p_.__p_[__i];
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _IT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
discrete_distribution<_IT>& __x)
|
|
{
|
|
typedef discrete_distribution<_IT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
size_t __n;
|
|
__is >> __n;
|
|
vector<double> __p(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__is >> __p[__i];
|
|
if (!__is.fail())
|
|
swap(__x.__p_.__p_, __p);
|
|
return __is;
|
|
}
|
|
|
|
// piecewise_constant_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY piecewise_constant_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
vector<result_type> __b_;
|
|
vector<result_type> __densities_;
|
|
vector<result_type> __areas_;
|
|
public:
|
|
typedef piecewise_constant_distribution distribution_type;
|
|
|
|
param_type();
|
|
template<class _InputIteratorB, class _InputIteratorW>
|
|
param_type(_InputIteratorB __fB, _InputIteratorB __lB,
|
|
_InputIteratorW __fW);
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
param_type(initializer_list<result_type> __bl, _UnaryOperation __fw);
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
param_type(size_t __nw, result_type __xmin, result_type __xmax,
|
|
_UnaryOperation __fw);
|
|
param_type & operator=(const param_type& __rhs);
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> intervals() const {return __b_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> densities() const {return __densities_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__densities_ == __y.__densities_ && __x.__b_ == __y.__b_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
|
|
private:
|
|
void __init();
|
|
|
|
friend class piecewise_constant_distribution;
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const piecewise_constant_distribution<_RT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
piecewise_constant_distribution<_RT>& __x);
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_constant_distribution() {}
|
|
template<class _InputIteratorB, class _InputIteratorW>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_constant_distribution(_InputIteratorB __fB,
|
|
_InputIteratorB __lB,
|
|
_InputIteratorW __fW)
|
|
: __p_(__fB, __lB, __fW) {}
|
|
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_constant_distribution(initializer_list<result_type> __bl,
|
|
_UnaryOperation __fw)
|
|
: __p_(__bl, __fw) {}
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
|
|
template<class _UnaryOperation>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_constant_distribution(size_t __nw, result_type __xmin,
|
|
result_type __xmax, _UnaryOperation __fw)
|
|
: __p_(__nw, __xmin, __xmax, __fw) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit piecewise_constant_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> intervals() const {return __p_.intervals();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> densities() const {return __p_.densities();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return __p_.__b_.front();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return __p_.__b_.back();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const piecewise_constant_distribution& __x,
|
|
const piecewise_constant_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const piecewise_constant_distribution& __x,
|
|
const piecewise_constant_distribution& __y)
|
|
{return !(__x == __y);}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const piecewise_constant_distribution<_RT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
piecewise_constant_distribution<_RT>& __x);
|
|
};
|
|
|
|
template<class _RealType>
|
|
typename piecewise_constant_distribution<_RealType>::param_type &
|
|
piecewise_constant_distribution<_RealType>::param_type::operator=
|
|
(const param_type& __rhs)
|
|
{
|
|
// These can throw
|
|
__b_.reserve (__rhs.__b_.size ());
|
|
__densities_.reserve(__rhs.__densities_.size());
|
|
__areas_.reserve (__rhs.__areas_.size());
|
|
|
|
// These can not throw
|
|
__b_ = __rhs.__b_;
|
|
__densities_ = __rhs.__densities_;
|
|
__areas_ = __rhs.__areas_;
|
|
return *this;
|
|
}
|
|
|
|
template<class _RealType>
|
|
void
|
|
piecewise_constant_distribution<_RealType>::param_type::__init()
|
|
{
|
|
// __densities_ contains non-normalized areas
|
|
result_type __total_area = _VSTD::accumulate(__densities_.begin(),
|
|
__densities_.end(),
|
|
result_type());
|
|
for (size_t __i = 0; __i < __densities_.size(); ++__i)
|
|
__densities_[__i] /= __total_area;
|
|
// __densities_ contains normalized areas
|
|
__areas_.assign(__densities_.size(), result_type());
|
|
_VSTD::partial_sum(__densities_.begin(), __densities_.end() - 1,
|
|
__areas_.begin() + 1);
|
|
// __areas_ contains partial sums of normalized areas: [0, __densities_ - 1]
|
|
__densities_.back() = 1 - __areas_.back(); // correct round off error
|
|
for (size_t __i = 0; __i < __densities_.size(); ++__i)
|
|
__densities_[__i] /= (__b_[__i+1] - __b_[__i]);
|
|
// __densities_ now contains __densities_
|
|
}
|
|
|
|
template<class _RealType>
|
|
piecewise_constant_distribution<_RealType>::param_type::param_type()
|
|
: __b_(2),
|
|
__densities_(1, 1.0),
|
|
__areas_(1, 0.0)
|
|
{
|
|
__b_[1] = 1;
|
|
}
|
|
|
|
template<class _RealType>
|
|
template<class _InputIteratorB, class _InputIteratorW>
|
|
piecewise_constant_distribution<_RealType>::param_type::param_type(
|
|
_InputIteratorB __fB, _InputIteratorB __lB, _InputIteratorW __fW)
|
|
: __b_(__fB, __lB)
|
|
{
|
|
if (__b_.size() < 2)
|
|
{
|
|
__b_.resize(2);
|
|
__b_[0] = 0;
|
|
__b_[1] = 1;
|
|
__densities_.assign(1, 1.0);
|
|
__areas_.assign(1, 0.0);
|
|
}
|
|
else
|
|
{
|
|
__densities_.reserve(__b_.size() - 1);
|
|
for (size_t __i = 0; __i < __b_.size() - 1; ++__i, ++__fW)
|
|
__densities_.push_back(*__fW);
|
|
__init();
|
|
}
|
|
}
|
|
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
|
|
template<class _RealType>
|
|
template<class _UnaryOperation>
|
|
piecewise_constant_distribution<_RealType>::param_type::param_type(
|
|
initializer_list<result_type> __bl, _UnaryOperation __fw)
|
|
: __b_(__bl.begin(), __bl.end())
|
|
{
|
|
if (__b_.size() < 2)
|
|
{
|
|
__b_.resize(2);
|
|
__b_[0] = 0;
|
|
__b_[1] = 1;
|
|
__densities_.assign(1, 1.0);
|
|
__areas_.assign(1, 0.0);
|
|
}
|
|
else
|
|
{
|
|
__densities_.reserve(__b_.size() - 1);
|
|
for (size_t __i = 0; __i < __b_.size() - 1; ++__i)
|
|
__densities_.push_back(__fw((__b_[__i+1] + __b_[__i])*.5));
|
|
__init();
|
|
}
|
|
}
|
|
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
|
|
template<class _RealType>
|
|
template<class _UnaryOperation>
|
|
piecewise_constant_distribution<_RealType>::param_type::param_type(
|
|
size_t __nw, result_type __xmin, result_type __xmax, _UnaryOperation __fw)
|
|
: __b_(__nw == 0 ? 2 : __nw + 1)
|
|
{
|
|
size_t __n = __b_.size() - 1;
|
|
result_type __d = (__xmax - __xmin) / __n;
|
|
__densities_.reserve(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
{
|
|
__b_[__i] = __xmin + __i * __d;
|
|
__densities_.push_back(__fw(__b_[__i] + __d*.5));
|
|
}
|
|
__b_[__n] = __xmax;
|
|
__init();
|
|
}
|
|
|
|
template<class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
piecewise_constant_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
typedef uniform_real_distribution<result_type> _Gen;
|
|
result_type __u = _Gen()(__g);
|
|
ptrdiff_t __k = _VSTD::upper_bound(__p.__areas_.begin(), __p.__areas_.end(),
|
|
__u) - __p.__areas_.begin() - 1;
|
|
return (__u - __p.__areas_[__k]) / __p.__densities_[__k] + __p.__b_[__k];
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const piecewise_constant_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
size_t __n = __x.__p_.__b_.size();
|
|
__os << __n;
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__os << __sp << __x.__p_.__b_[__i];
|
|
__n = __x.__p_.__densities_.size();
|
|
__os << __sp << __n;
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__os << __sp << __x.__p_.__densities_[__i];
|
|
__n = __x.__p_.__areas_.size();
|
|
__os << __sp << __n;
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__os << __sp << __x.__p_.__areas_[__i];
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
piecewise_constant_distribution<_RT>& __x)
|
|
{
|
|
typedef piecewise_constant_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
size_t __n;
|
|
__is >> __n;
|
|
vector<result_type> __b(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__is >> __b[__i];
|
|
__is >> __n;
|
|
vector<result_type> __densities(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__is >> __densities[__i];
|
|
__is >> __n;
|
|
vector<result_type> __areas(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__is >> __areas[__i];
|
|
if (!__is.fail())
|
|
{
|
|
swap(__x.__p_.__b_, __b);
|
|
swap(__x.__p_.__densities_, __densities);
|
|
swap(__x.__p_.__areas_, __areas);
|
|
}
|
|
return __is;
|
|
}
|
|
|
|
// piecewise_linear_distribution
|
|
|
|
template<class _RealType = double>
|
|
class _LIBCPP_TYPE_VIS_ONLY piecewise_linear_distribution
|
|
{
|
|
public:
|
|
// types
|
|
typedef _RealType result_type;
|
|
|
|
class _LIBCPP_TYPE_VIS_ONLY param_type
|
|
{
|
|
vector<result_type> __b_;
|
|
vector<result_type> __densities_;
|
|
vector<result_type> __areas_;
|
|
public:
|
|
typedef piecewise_linear_distribution distribution_type;
|
|
|
|
param_type();
|
|
template<class _InputIteratorB, class _InputIteratorW>
|
|
param_type(_InputIteratorB __fB, _InputIteratorB __lB,
|
|
_InputIteratorW __fW);
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
param_type(initializer_list<result_type> __bl, _UnaryOperation __fw);
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
param_type(size_t __nw, result_type __xmin, result_type __xmax,
|
|
_UnaryOperation __fw);
|
|
param_type & operator=(const param_type& __rhs);
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> intervals() const {return __b_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> densities() const {return __densities_;}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const param_type& __x, const param_type& __y)
|
|
{return __x.__densities_ == __y.__densities_ && __x.__b_ == __y.__b_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const param_type& __x, const param_type& __y)
|
|
{return !(__x == __y);}
|
|
|
|
private:
|
|
void __init();
|
|
|
|
friend class piecewise_linear_distribution;
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const piecewise_linear_distribution<_RT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
piecewise_linear_distribution<_RT>& __x);
|
|
};
|
|
|
|
private:
|
|
param_type __p_;
|
|
|
|
public:
|
|
// constructor and reset functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_linear_distribution() {}
|
|
template<class _InputIteratorB, class _InputIteratorW>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_linear_distribution(_InputIteratorB __fB,
|
|
_InputIteratorB __lB,
|
|
_InputIteratorW __fW)
|
|
: __p_(__fB, __lB, __fW) {}
|
|
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
template<class _UnaryOperation>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_linear_distribution(initializer_list<result_type> __bl,
|
|
_UnaryOperation __fw)
|
|
: __p_(__bl, __fw) {}
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
|
|
template<class _UnaryOperation>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
piecewise_linear_distribution(size_t __nw, result_type __xmin,
|
|
result_type __xmax, _UnaryOperation __fw)
|
|
: __p_(__nw, __xmin, __xmax, __fw) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
explicit piecewise_linear_distribution(const param_type& __p)
|
|
: __p_(__p) {}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void reset() {}
|
|
|
|
// generating functions
|
|
template<class _URNG>
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type operator()(_URNG& __g)
|
|
{return (*this)(__g, __p_);}
|
|
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
|
|
|
|
// property functions
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> intervals() const {return __p_.intervals();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
vector<result_type> densities() const {return __p_.densities();}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
param_type param() const {return __p_;}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
void param(const param_type& __p) {__p_ = __p;}
|
|
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type min() const {return __p_.__b_.front();}
|
|
_LIBCPP_INLINE_VISIBILITY
|
|
result_type max() const {return __p_.__b_.back();}
|
|
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator==(const piecewise_linear_distribution& __x,
|
|
const piecewise_linear_distribution& __y)
|
|
{return __x.__p_ == __y.__p_;}
|
|
friend _LIBCPP_INLINE_VISIBILITY
|
|
bool operator!=(const piecewise_linear_distribution& __x,
|
|
const piecewise_linear_distribution& __y)
|
|
{return !(__x == __y);}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const piecewise_linear_distribution<_RT>& __x);
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
friend
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
piecewise_linear_distribution<_RT>& __x);
|
|
};
|
|
|
|
template<class _RealType>
|
|
typename piecewise_linear_distribution<_RealType>::param_type &
|
|
piecewise_linear_distribution<_RealType>::param_type::operator=
|
|
(const param_type& __rhs)
|
|
{
|
|
// These can throw
|
|
__b_.reserve (__rhs.__b_.size ());
|
|
__densities_.reserve(__rhs.__densities_.size());
|
|
__areas_.reserve (__rhs.__areas_.size());
|
|
|
|
// These can not throw
|
|
__b_ = __rhs.__b_;
|
|
__densities_ = __rhs.__densities_;
|
|
__areas_ = __rhs.__areas_;
|
|
return *this;
|
|
}
|
|
|
|
|
|
template<class _RealType>
|
|
void
|
|
piecewise_linear_distribution<_RealType>::param_type::__init()
|
|
{
|
|
__areas_.assign(__densities_.size() - 1, result_type());
|
|
result_type _Sp = 0;
|
|
for (size_t __i = 0; __i < __areas_.size(); ++__i)
|
|
{
|
|
__areas_[__i] = (__densities_[__i+1] + __densities_[__i]) *
|
|
(__b_[__i+1] - __b_[__i]) * .5;
|
|
_Sp += __areas_[__i];
|
|
}
|
|
for (size_t __i = __areas_.size(); __i > 1;)
|
|
{
|
|
--__i;
|
|
__areas_[__i] = __areas_[__i-1] / _Sp;
|
|
}
|
|
__areas_[0] = 0;
|
|
for (size_t __i = 1; __i < __areas_.size(); ++__i)
|
|
__areas_[__i] += __areas_[__i-1];
|
|
for (size_t __i = 0; __i < __densities_.size(); ++__i)
|
|
__densities_[__i] /= _Sp;
|
|
}
|
|
|
|
template<class _RealType>
|
|
piecewise_linear_distribution<_RealType>::param_type::param_type()
|
|
: __b_(2),
|
|
__densities_(2, 1.0),
|
|
__areas_(1, 0.0)
|
|
{
|
|
__b_[1] = 1;
|
|
}
|
|
|
|
template<class _RealType>
|
|
template<class _InputIteratorB, class _InputIteratorW>
|
|
piecewise_linear_distribution<_RealType>::param_type::param_type(
|
|
_InputIteratorB __fB, _InputIteratorB __lB, _InputIteratorW __fW)
|
|
: __b_(__fB, __lB)
|
|
{
|
|
if (__b_.size() < 2)
|
|
{
|
|
__b_.resize(2);
|
|
__b_[0] = 0;
|
|
__b_[1] = 1;
|
|
__densities_.assign(2, 1.0);
|
|
__areas_.assign(1, 0.0);
|
|
}
|
|
else
|
|
{
|
|
__densities_.reserve(__b_.size());
|
|
for (size_t __i = 0; __i < __b_.size(); ++__i, ++__fW)
|
|
__densities_.push_back(*__fW);
|
|
__init();
|
|
}
|
|
}
|
|
|
|
#ifndef _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
|
|
template<class _RealType>
|
|
template<class _UnaryOperation>
|
|
piecewise_linear_distribution<_RealType>::param_type::param_type(
|
|
initializer_list<result_type> __bl, _UnaryOperation __fw)
|
|
: __b_(__bl.begin(), __bl.end())
|
|
{
|
|
if (__b_.size() < 2)
|
|
{
|
|
__b_.resize(2);
|
|
__b_[0] = 0;
|
|
__b_[1] = 1;
|
|
__densities_.assign(2, 1.0);
|
|
__areas_.assign(1, 0.0);
|
|
}
|
|
else
|
|
{
|
|
__densities_.reserve(__b_.size());
|
|
for (size_t __i = 0; __i < __b_.size(); ++__i)
|
|
__densities_.push_back(__fw(__b_[__i]));
|
|
__init();
|
|
}
|
|
}
|
|
|
|
#endif // _LIBCPP_HAS_NO_GENERALIZED_INITIALIZERS
|
|
|
|
template<class _RealType>
|
|
template<class _UnaryOperation>
|
|
piecewise_linear_distribution<_RealType>::param_type::param_type(
|
|
size_t __nw, result_type __xmin, result_type __xmax, _UnaryOperation __fw)
|
|
: __b_(__nw == 0 ? 2 : __nw + 1)
|
|
{
|
|
size_t __n = __b_.size() - 1;
|
|
result_type __d = (__xmax - __xmin) / __n;
|
|
__densities_.reserve(__b_.size());
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
{
|
|
__b_[__i] = __xmin + __i * __d;
|
|
__densities_.push_back(__fw(__b_[__i]));
|
|
}
|
|
__b_[__n] = __xmax;
|
|
__densities_.push_back(__fw(__b_[__n]));
|
|
__init();
|
|
}
|
|
|
|
template<class _RealType>
|
|
template<class _URNG>
|
|
_RealType
|
|
piecewise_linear_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
|
|
{
|
|
typedef uniform_real_distribution<result_type> _Gen;
|
|
result_type __u = _Gen()(__g);
|
|
ptrdiff_t __k = _VSTD::upper_bound(__p.__areas_.begin(), __p.__areas_.end(),
|
|
__u) - __p.__areas_.begin() - 1;
|
|
__u -= __p.__areas_[__k];
|
|
const result_type __dk = __p.__densities_[__k];
|
|
const result_type __dk1 = __p.__densities_[__k+1];
|
|
const result_type __deltad = __dk1 - __dk;
|
|
const result_type __bk = __p.__b_[__k];
|
|
if (__deltad == 0)
|
|
return __u / __dk + __bk;
|
|
const result_type __bk1 = __p.__b_[__k+1];
|
|
const result_type __deltab = __bk1 - __bk;
|
|
return (__bk * __dk1 - __bk1 * __dk +
|
|
_VSTD::sqrt(__deltab * (__deltab * __dk * __dk + 2 * __deltad * __u))) /
|
|
__deltad;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_ostream<_CharT, _Traits>&
|
|
operator<<(basic_ostream<_CharT, _Traits>& __os,
|
|
const piecewise_linear_distribution<_RT>& __x)
|
|
{
|
|
__save_flags<_CharT, _Traits> __lx(__os);
|
|
__os.flags(ios_base::dec | ios_base::left | ios_base::fixed |
|
|
ios_base::scientific);
|
|
_CharT __sp = __os.widen(' ');
|
|
__os.fill(__sp);
|
|
size_t __n = __x.__p_.__b_.size();
|
|
__os << __n;
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__os << __sp << __x.__p_.__b_[__i];
|
|
__n = __x.__p_.__densities_.size();
|
|
__os << __sp << __n;
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__os << __sp << __x.__p_.__densities_[__i];
|
|
__n = __x.__p_.__areas_.size();
|
|
__os << __sp << __n;
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__os << __sp << __x.__p_.__areas_[__i];
|
|
return __os;
|
|
}
|
|
|
|
template <class _CharT, class _Traits, class _RT>
|
|
basic_istream<_CharT, _Traits>&
|
|
operator>>(basic_istream<_CharT, _Traits>& __is,
|
|
piecewise_linear_distribution<_RT>& __x)
|
|
{
|
|
typedef piecewise_linear_distribution<_RT> _Eng;
|
|
typedef typename _Eng::result_type result_type;
|
|
typedef typename _Eng::param_type param_type;
|
|
__save_flags<_CharT, _Traits> __lx(__is);
|
|
__is.flags(ios_base::dec | ios_base::skipws);
|
|
size_t __n;
|
|
__is >> __n;
|
|
vector<result_type> __b(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__is >> __b[__i];
|
|
__is >> __n;
|
|
vector<result_type> __densities(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__is >> __densities[__i];
|
|
__is >> __n;
|
|
vector<result_type> __areas(__n);
|
|
for (size_t __i = 0; __i < __n; ++__i)
|
|
__is >> __areas[__i];
|
|
if (!__is.fail())
|
|
{
|
|
swap(__x.__p_.__b_, __b);
|
|
swap(__x.__p_.__densities_, __densities);
|
|
swap(__x.__p_.__areas_, __areas);
|
|
}
|
|
return __is;
|
|
}
|
|
|
|
_LIBCPP_END_NAMESPACE_STD
|
|
|
|
#endif // _LIBCPP_RANDOM
|