// random number generation -*- C++ -*-
-// Copyright (C) 2009, 2010 Free Software Foundation, Inc.
+// Copyright (C) 2009-2012 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the
/**
* @file bits/random.h
* This is an internal header file, included by other library headers.
- * You should not attempt to use it directly.
+ * Do not attempt to use it directly. @headername{random}
*/
+#ifndef _RANDOM_H
+#define _RANDOM_H 1
+
#include <vector>
-namespace std
+namespace std _GLIBCXX_VISIBILITY(default)
{
+_GLIBCXX_BEGIN_NAMESPACE_VERSION
+
// [26.4] Random number generation
/**
- * @addtogroup std_random Random Number Generation
+ * @defgroup random Random Number Generation
+ * @ingroup numerics
+ *
* A facility for generating random numbers on selected distributions.
* @{
*/
_RealType
generate_canonical(_UniformRandomNumberGenerator& __g);
+_GLIBCXX_END_NAMESPACE_VERSION
+
/*
* Implementation-space details.
*/
namespace __detail
{
+ _GLIBCXX_BEGIN_NAMESPACE_VERSION
+
template<typename _UIntType, size_t __w,
bool = __w < static_cast<size_t>
(std::numeric_limits<_UIntType>::digits)>
private:
_Engine& _M_g;
};
+
+ _GLIBCXX_END_NAMESPACE_VERSION
} // namespace __detail
+_GLIBCXX_BEGIN_NAMESPACE_VERSION
+
/**
- * @addtogroup std_random_generators Random Number Generators
- * @ingroup std_random
+ * @addtogroup random_generators Random Number Generators
+ * @ingroup random
*
* These classes define objects which provide random or pseudorandom
* numbers, either from a discrete or a continuous interval. The
static_assert(__m == 0u || (__a < __m && __c < __m),
"template argument substituting __m out of bounds");
+ // XXX FIXME:
+ // _Mod::__calc should handle correctly __m % __a >= __m / __a too.
+ static_assert(__m % __a < __m / __a,
+ "sorry, not implemented yet: try a smaller 'a' constant");
+
public:
/** The type of the generated random value. */
typedef _UIntType result_type;
/** The multiplier. */
- static const result_type multiplier = __a;
+ static constexpr result_type multiplier = __a;
/** An increment. */
- static const result_type increment = __c;
+ static constexpr result_type increment = __c;
/** The modulus. */
- static const result_type modulus = __m;
- static const result_type default_seed = 1u;
+ static constexpr result_type modulus = __m;
+ static constexpr result_type default_seed = 1u;
/**
* @brief Constructs a %linear_congruential_engine random number
*
* @param __q the seed sequence.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
+ template<typename _Sseq, typename = typename
+ std::enable_if<!std::is_same<_Sseq, linear_congruential_engine>::value>
+ ::type>
explicit
linear_congruential_engine(_Sseq& __q)
- { seed<_Sseq>(__q); }
+ { seed(__q); }
/**
* @brief Reseeds the %linear_congruential_engine random number generator
*
* @param __q the seed sequence.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
- void
+ template<typename _Sseq>
+ typename std::enable_if<std::is_class<_Sseq>::value>::type
seed(_Sseq& __q);
/**
*
* The minimum depends on the @p __c parameter: if it is zero, the
* minimum generated must be > 0, otherwise 0 is allowed.
- *
- * @todo This should be constexpr.
*/
- result_type
- min() const
+ static constexpr result_type
+ min()
{ return __c == 0u ? 1u : 0u; }
/**
* @brief Gets the largest possible value in the output range.
- *
- * @todo This should be constexpr.
*/
- result_type
- max() const
+ static constexpr result_type
+ max()
{ return __m - 1u; }
/**
* @brief Discard a sequence of random numbers.
- *
- * @todo Look for a faster way to do discard.
*/
void
discard(unsigned long long __z)
* @param __rhs Another linear congruential random number generator
* object.
*
- * @returns true if the two objects are equal, false otherwise.
+ * @returns true if the infinite sequences of generated values
+ * would be equal, false otherwise.
*/
friend bool
operator==(const linear_congruential_engine& __lhs,
template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1,
_UIntType1 __m1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const std::linear_congruential_engine<_UIntType1,
- __a1, __c1, __m1>&);
+ __a1, __c1, __m1>& __lcr);
/**
* @brief Sets the state of the engine by reading its textual
template<typename _UIntType1, _UIntType1 __a1, _UIntType1 __c1,
_UIntType1 __m1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
std::linear_congruential_engine<_UIntType1, __a1,
- __c1, __m1>&);
+ __c1, __m1>& __lcr);
private:
_UIntType _M_x;
};
+ /**
+ * @brief Compares two linear congruential random number generator
+ * objects of the same type for inequality.
+ *
+ * @param __lhs A linear congruential random number generator object.
+ * @param __rhs Another linear congruential random number generator
+ * object.
+ *
+ * @returns true if the infinite sequences of generated values
+ * would be different, false otherwise.
+ */
+ template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
+ inline bool
+ operator!=(const std::linear_congruential_engine<_UIntType, __a,
+ __c, __m>& __lhs,
+ const std::linear_congruential_engine<_UIntType, __a,
+ __c, __m>& __rhs)
+ { return !(__lhs == __rhs); }
+
/**
* A generalized feedback shift register discrete random number generator.
* This algorithm was originally invented by Makoto Matsumoto and
* Takuji Nishimura.
*
- * @var word_size The number of bits in each element of the state vector.
- * @var state_size The degree of recursion.
- * @var shift_size The period parameter.
- * @var mask_bits The separation point bit index.
- * @var parameter_a The last row of the twist matrix.
- * @var output_u The first right-shift tempering matrix parameter.
- * @var output_s The first left-shift tempering matrix parameter.
- * @var output_b The first left-shift tempering matrix mask.
- * @var output_t The second left-shift tempering matrix parameter.
- * @var output_c The second left-shift tempering matrix mask.
- * @var output_l The second right-shift tempering matrix parameter.
+ * @tparam __w Word size, the number of bits in each element of
+ * the state vector.
+ * @tparam __n The degree of recursion.
+ * @tparam __m The period parameter.
+ * @tparam __r The separation point bit index.
+ * @tparam __a The last row of the twist matrix.
+ * @tparam __u The first right-shift tempering matrix parameter.
+ * @tparam __d The first right-shift tempering matrix mask.
+ * @tparam __s The first left-shift tempering matrix parameter.
+ * @tparam __b The first left-shift tempering matrix mask.
+ * @tparam __t The second left-shift tempering matrix parameter.
+ * @tparam __c The second left-shift tempering matrix mask.
+ * @tparam __l The second right-shift tempering matrix parameter.
+ * @tparam __f Initialization multiplier.
*/
template<typename _UIntType, size_t __w,
size_t __n, size_t __m, size_t __r,
typedef _UIntType result_type;
// parameter values
- static const size_t word_size = __w;
- static const size_t state_size = __n;
- static const size_t shift_size = __m;
- static const size_t mask_bits = __r;
- static const result_type xor_mask = __a;
- static const size_t tempering_u = __u;
- static const result_type tempering_d = __d;
- static const size_t tempering_s = __s;
- static const result_type tempering_b = __b;
- static const size_t tempering_t = __t;
- static const result_type tempering_c = __c;
- static const size_t tempering_l = __l;
- static const result_type initialization_multiplier = __f;
- static const result_type default_seed = 5489u;
+ static constexpr size_t word_size = __w;
+ static constexpr size_t state_size = __n;
+ static constexpr size_t shift_size = __m;
+ static constexpr size_t mask_bits = __r;
+ static constexpr result_type xor_mask = __a;
+ static constexpr size_t tempering_u = __u;
+ static constexpr result_type tempering_d = __d;
+ static constexpr size_t tempering_s = __s;
+ static constexpr result_type tempering_b = __b;
+ static constexpr size_t tempering_t = __t;
+ static constexpr result_type tempering_c = __c;
+ static constexpr size_t tempering_l = __l;
+ static constexpr result_type initialization_multiplier = __f;
+ static constexpr result_type default_seed = 5489u;
// constructors and member function
explicit
*
* @param __q the seed sequence.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
+ template<typename _Sseq, typename = typename
+ std::enable_if<!std::is_same<_Sseq, mersenne_twister_engine>::value>
+ ::type>
explicit
mersenne_twister_engine(_Sseq& __q)
- { seed<_Sseq>(__q); }
+ { seed(__q); }
void
seed(result_type __sd = default_seed);
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
- void
+ template<typename _Sseq>
+ typename std::enable_if<std::is_class<_Sseq>::value>::type
seed(_Sseq& __q);
/**
* @brief Gets the smallest possible value in the output range.
- *
- * @todo This should be constexpr.
*/
- result_type
- min() const
+ static constexpr result_type
+ min()
{ return 0; };
/**
* @brief Gets the largest possible value in the output range.
- *
- * @todo This should be constexpr.
*/
- result_type
- max() const
+ static constexpr result_type
+ max()
{ return __detail::_Shift<_UIntType, __w>::__value - 1; }
/**
* @brief Discard a sequence of random numbers.
- *
- * @todo Look for a faster way to do discard.
*/
void
discard(unsigned long long __z)
* @param __rhs Another % mersenne_twister_engine random number
* generator object.
*
- * @returns true if the two objects are equal, false otherwise.
+ * @returns true if the infinite sequences of generated values
+ * would be equal, false otherwise.
*/
friend bool
operator==(const mersenne_twister_engine& __lhs,
const mersenne_twister_engine& __rhs)
- { return std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x); }
+ { return (std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x)
+ && __lhs._M_p == __rhs._M_p); }
/**
* @brief Inserts the current state of a % mersenne_twister_engine
_UIntType1 __c1, size_t __l1, _UIntType1 __f1,
typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const std::mersenne_twister_engine<_UIntType1, __w1, __n1,
__m1, __r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1,
- __l1, __f1>&);
+ __l1, __f1>& __x);
/**
* @brief Extracts the current state of a % mersenne_twister_engine
_UIntType1 __c1, size_t __l1, _UIntType1 __f1,
typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
std::mersenne_twister_engine<_UIntType1, __w1, __n1, __m1,
__r1, __a1, __u1, __d1, __s1, __b1, __t1, __c1,
- __l1, __f1>&);
+ __l1, __f1>& __x);
private:
_UIntType _M_x[state_size];
};
/**
+ * @brief Compares two % mersenne_twister_engine random number generator
+ * objects of the same type for inequality.
+ *
+ * @param __lhs A % mersenne_twister_engine random number generator
+ * object.
+ * @param __rhs Another % mersenne_twister_engine random number
+ * generator object.
+ *
+ * @returns true if the infinite sequences of generated values
+ * would be different, false otherwise.
+ */
+ template<typename _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>
+ inline bool
+ operator!=(const std::mersenne_twister_engine<_UIntType, __w, __n, __m,
+ __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __lhs,
+ const std::mersenne_twister_engine<_UIntType, __w, __n, __m,
+ __r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __rhs)
+ { return !(__lhs == __rhs); }
+
+
+ /**
* @brief The Marsaglia-Zaman generator.
*
* This is a model of a Generalized Fibonacci discrete random number
typedef _UIntType result_type;
// parameter values
- static const size_t word_size = __w;
- static const size_t short_lag = __s;
- static const size_t long_lag = __r;
- static const result_type default_seed = 19780503u;
+ static constexpr size_t word_size = __w;
+ static constexpr size_t short_lag = __s;
+ static constexpr size_t long_lag = __r;
+ static constexpr result_type default_seed = 19780503u;
/**
* @brief Constructs an explicitly seeded % subtract_with_carry_engine
*
* @param __q the seed sequence.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
+ template<typename _Sseq, typename = typename
+ std::enable_if<!std::is_same<_Sseq, subtract_with_carry_engine>::value>
+ ::type>
explicit
subtract_with_carry_engine(_Sseq& __q)
- { seed<_Sseq>(__q); }
+ { seed(__q); }
/**
* @brief Seeds the initial state @f$x_0@f$ of the random number
* @brief Seeds the initial state @f$x_0@f$ of the
* % subtract_with_carry_engine random number generator.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
- void
+ template<typename _Sseq>
+ typename std::enable_if<std::is_class<_Sseq>::value>::type
seed(_Sseq& __q);
/**
* @brief Gets the inclusive minimum value of the range of random
* integers returned by this generator.
- *
- * @todo This should be constexpr.
*/
- result_type
- min() const
+ static constexpr result_type
+ min()
{ return 0; }
/**
* @brief Gets the inclusive maximum value of the range of random
* integers returned by this generator.
- *
- * @todo This should be constexpr.
*/
- result_type
- max() const
+ static constexpr result_type
+ max()
{ return __detail::_Shift<_UIntType, __w>::__value - 1; }
/**
* @brief Discard a sequence of random numbers.
- *
- * @todo Look for a faster way to do discard.
*/
void
discard(unsigned long long __z)
* @param __rhs Another % subtract_with_carry_engine random number
* generator object.
*
- * @returns true if the two objects are equal, false otherwise.
- */
+ * @returns true if the infinite sequences of generated values
+ * would be equal, false otherwise.
+ */
friend bool
operator==(const subtract_with_carry_engine& __lhs,
const subtract_with_carry_engine& __rhs)
- { return std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x); }
+ { return (std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x)
+ && __lhs._M_carry == __rhs._M_carry
+ && __lhs._M_p == __rhs._M_p); }
/**
* @brief Inserts the current state of a % subtract_with_carry_engine
};
/**
+ * @brief Compares two % subtract_with_carry_engine random number
+ * generator objects of the same type for inequality.
+ *
+ * @param __lhs A % subtract_with_carry_engine random number generator
+ * object.
+ * @param __rhs Another % subtract_with_carry_engine random number
+ * generator object.
+ *
+ * @returns true if the infinite sequences of generated values
+ * would be different, false otherwise.
+ */
+ template<typename _UIntType, size_t __w, size_t __s, size_t __r>
+ inline bool
+ operator!=(const std::subtract_with_carry_engine<_UIntType, __w,
+ __s, __r>& __lhs,
+ const std::subtract_with_carry_engine<_UIntType, __w,
+ __s, __r>& __rhs)
+ { return !(__lhs == __rhs); }
+
+
+ /**
* Produces random numbers from some base engine by discarding blocks of
* data.
*
typedef typename _RandomNumberEngine::result_type result_type;
// parameter values
- static const size_t block_size = __p;
- static const size_t used_block = __r;
+ static constexpr size_t block_size = __p;
+ static constexpr size_t used_block = __r;
/**
* @brief Constructs a default %discard_block_engine engine.
* @brief Copy constructs a %discard_block_engine engine.
*
* Copies an existing base class random number generator.
- * @param rng An existing (base class) engine object.
+ * @param __rng An existing (base class) engine object.
*/
explicit
- discard_block_engine(const _RandomNumberEngine& __rne)
- : _M_b(__rne), _M_n(0) { }
+ discard_block_engine(const _RandomNumberEngine& __rng)
+ : _M_b(__rng), _M_n(0) { }
/**
* @brief Move constructs a %discard_block_engine engine.
*
* Copies an existing base class random number generator.
- * @param rng An existing (base class) engine object.
+ * @param __rng An existing (base class) engine object.
*/
explicit
- discard_block_engine(_RandomNumberEngine&& __rne)
- : _M_b(std::move(__rne)), _M_n(0) { }
+ discard_block_engine(_RandomNumberEngine&& __rng)
+ : _M_b(std::move(__rng)), _M_n(0) { }
/**
* @brief Seed constructs a %discard_block_engine engine.
*
* @param __q A seed sequence.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value
- && !std::is_same<_Sseq, _RandomNumberEngine>
- ::value>::type>
+ template<typename _Sseq, typename = typename
+ std::enable_if<!std::is_same<_Sseq, discard_block_engine>::value
+ && !std::is_same<_Sseq, _RandomNumberEngine>::value>
+ ::type>
explicit
discard_block_engine(_Sseq& __q)
: _M_b(__q), _M_n(0)
* sequence.
* @param __q A seed generator function.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
+ template<typename _Sseq>
void
seed(_Sseq& __q)
{
- _M_b.seed<_Sseq>(__q);
+ _M_b.seed(__q);
_M_n = 0;
}
* object.
*/
const _RandomNumberEngine&
- base() const
+ base() const noexcept
{ return _M_b; }
/**
* @brief Gets the minimum value in the generated random number range.
- *
- * @todo This should be constexpr.
*/
- result_type
- min() const
- { return _M_b.min(); }
+ static constexpr result_type
+ min()
+ { return _RandomNumberEngine::min(); }
/**
* @brief Gets the maximum value in the generated random number range.
- *
- * @todo This should be constexpr.
*/
- result_type
- max() const
- { return _M_b.max(); }
+ static constexpr result_type
+ max()
+ { return _RandomNumberEngine::max(); }
/**
* @brief Discard a sequence of random numbers.
- *
- * @todo Look for a faster way to do discard.
*/
void
discard(unsigned long long __z)
* @param __rhs Another %discard_block_engine random number generator
* object.
*
- * @returns true if the two objects are equal, false otherwise.
+ * @returns true if the infinite sequences of generated values
+ * would be equal, false otherwise.
*/
friend bool
operator==(const discard_block_engine& __lhs,
const discard_block_engine& __rhs)
- { return (__lhs._M_b == __rhs._M_b) && (__lhs._M_n == __rhs._M_n); }
+ { return __lhs._M_b == __rhs._M_b && __lhs._M_n == __rhs._M_n; }
/**
* @brief Inserts the current state of a %discard_block_engine random
template<typename _RandomNumberEngine1, size_t __p1, size_t __r1,
typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const std::discard_block_engine<_RandomNumberEngine1,
- __p1, __r1>&);
+ __p1, __r1>& __x);
/**
* @brief Extracts the current state of a % subtract_with_carry_engine
template<typename _RandomNumberEngine1, size_t __p1, size_t __r1,
typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
std::discard_block_engine<_RandomNumberEngine1,
- __p1, __r1>&);
+ __p1, __r1>& __x);
private:
_RandomNumberEngine _M_b;
};
/**
+ * @brief Compares two %discard_block_engine random number generator
+ * objects of the same type for inequality.
+ *
+ * @param __lhs A %discard_block_engine random number generator object.
+ * @param __rhs Another %discard_block_engine random number generator
+ * object.
+ *
+ * @returns true if the infinite sequences of generated values
+ * would be different, false otherwise.
+ */
+ template<typename _RandomNumberEngine, size_t __p, size_t __r>
+ inline bool
+ operator!=(const std::discard_block_engine<_RandomNumberEngine, __p,
+ __r>& __lhs,
+ const std::discard_block_engine<_RandomNumberEngine, __p,
+ __r>& __rhs)
+ { return !(__lhs == __rhs); }
+
+
+ /**
* Produces random numbers by combining random numbers from some base
* engine to produce random numbers with a specifies number of bits @p __w.
*/
* @brief Copy constructs a %independent_bits_engine engine.
*
* Copies an existing base class random number generator.
- * @param rng An existing (base class) engine object.
+ * @param __rng An existing (base class) engine object.
*/
explicit
- independent_bits_engine(const _RandomNumberEngine& __rne)
- : _M_b(__rne) { }
+ independent_bits_engine(const _RandomNumberEngine& __rng)
+ : _M_b(__rng) { }
/**
* @brief Move constructs a %independent_bits_engine engine.
*
* Copies an existing base class random number generator.
- * @param rng An existing (base class) engine object.
+ * @param __rng An existing (base class) engine object.
*/
explicit
- independent_bits_engine(_RandomNumberEngine&& __rne)
- : _M_b(std::move(__rne)) { }
+ independent_bits_engine(_RandomNumberEngine&& __rng)
+ : _M_b(std::move(__rng)) { }
/**
* @brief Seed constructs a %independent_bits_engine engine.
*
* @param __q A seed sequence.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value
- && !std::is_same<_Sseq, _RandomNumberEngine>
- ::value>::type>
+ template<typename _Sseq, typename = typename
+ std::enable_if<!std::is_same<_Sseq, independent_bits_engine>::value
+ && !std::is_same<_Sseq, _RandomNumberEngine>::value>
+ ::type>
explicit
independent_bits_engine(_Sseq& __q)
: _M_b(__q)
* seed sequence.
* @param __q A seed generator function.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
+ template<typename _Sseq>
void
seed(_Sseq& __q)
- { _M_b.seed<_Sseq>(__q); }
+ { _M_b.seed(__q); }
/**
* @brief Gets a const reference to the underlying generator engine
* object.
*/
const _RandomNumberEngine&
- base() const
+ base() const noexcept
{ return _M_b; }
/**
* @brief Gets the minimum value in the generated random number range.
- *
- * @todo This should be constexpr.
*/
- result_type
- min() const
+ static constexpr result_type
+ min()
{ return 0U; }
/**
* @brief Gets the maximum value in the generated random number range.
- *
- * @todo This should be constexpr.
*/
- result_type
- max() const
+ static constexpr result_type
+ max()
{ return __detail::_Shift<_UIntType, __w>::__value - 1; }
/**
* @brief Discard a sequence of random numbers.
- *
- * @todo Look for a faster way to do discard.
*/
void
discard(unsigned long long __z)
* @param __rhs Another %independent_bits_engine random number generator
* object.
*
- * @returns true if the two objects are equal, false otherwise.
+ * @returns true if the infinite sequences of generated values
+ * would be equal, false otherwise.
*/
friend bool
operator==(const independent_bits_engine& __lhs,
};
/**
+ * @brief Compares two %independent_bits_engine random number generator
+ * objects of the same type for inequality.
+ *
+ * @param __lhs A %independent_bits_engine random number generator
+ * object.
+ * @param __rhs Another %independent_bits_engine random number generator
+ * object.
+ *
+ * @returns true if the infinite sequences of generated values
+ * would be different, false otherwise.
+ */
+ template<typename _RandomNumberEngine, size_t __w, typename _UIntType>
+ inline bool
+ operator!=(const std::independent_bits_engine<_RandomNumberEngine, __w,
+ _UIntType>& __lhs,
+ const std::independent_bits_engine<_RandomNumberEngine, __w,
+ _UIntType>& __rhs)
+ { return !(__lhs == __rhs); }
+
+ /**
* @brief Inserts the current state of a %independent_bits_engine random
* number generator engine @p __x into the output stream @p __os.
*
return __os;
}
+
/**
* @brief Produces random numbers by combining random numbers from some
* base engine to produce random numbers with a specifies number of bits
/** The type of the generated random value. */
typedef typename _RandomNumberEngine::result_type result_type;
- static const size_t table_size = __k;
+ static constexpr size_t table_size = __k;
/**
* @brief Constructs a default %shuffle_order_engine engine.
* @brief Copy constructs a %shuffle_order_engine engine.
*
* Copies an existing base class random number generator.
- * @param rng An existing (base class) engine object.
+ * @param __rng An existing (base class) engine object.
*/
explicit
- shuffle_order_engine(const _RandomNumberEngine& __rne)
- : _M_b(__rne)
+ shuffle_order_engine(const _RandomNumberEngine& __rng)
+ : _M_b(__rng)
{ _M_initialize(); }
/**
* @brief Move constructs a %shuffle_order_engine engine.
*
* Copies an existing base class random number generator.
- * @param rng An existing (base class) engine object.
+ * @param __rng An existing (base class) engine object.
*/
explicit
- shuffle_order_engine(_RandomNumberEngine&& __rne)
- : _M_b(std::move(__rne))
+ shuffle_order_engine(_RandomNumberEngine&& __rng)
+ : _M_b(std::move(__rng))
{ _M_initialize(); }
/**
*
* @param __q A seed sequence.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value
- && !std::is_same<_Sseq, _RandomNumberEngine>
- ::value>::type>
+ template<typename _Sseq, typename = typename
+ std::enable_if<!std::is_same<_Sseq, shuffle_order_engine>::value
+ && !std::is_same<_Sseq, _RandomNumberEngine>::value>
+ ::type>
explicit
shuffle_order_engine(_Sseq& __q)
: _M_b(__q)
* sequence.
* @param __q A seed generator function.
*/
- template<typename _Sseq, typename
- = typename std::enable_if<std::is_class<_Sseq>::value>::type>
+ template<typename _Sseq>
void
seed(_Sseq& __q)
{
- _M_b.seed<_Sseq>(__q);
+ _M_b.seed(__q);
_M_initialize();
}
* Gets a const reference to the underlying generator engine object.
*/
const _RandomNumberEngine&
- base() const
+ base() const noexcept
{ return _M_b; }
/**
* Gets the minimum value in the generated random number range.
- *
- * @todo This should be constexpr.
*/
- result_type
- min() const
- { return _M_b.min(); }
+ static constexpr result_type
+ min()
+ { return _RandomNumberEngine::min(); }
/**
* Gets the maximum value in the generated random number range.
- *
- * @todo This should be constexpr.
*/
- result_type
- max() const
- { return _M_b.max(); }
+ static constexpr result_type
+ max()
+ { return _RandomNumberEngine::max(); }
/**
* Discard a sequence of random numbers.
- *
- * @todo Look for a faster way to do discard.
*/
void
discard(unsigned long long __z)
* @param __rhs Another %shuffle_order_engine random number generator
* object.
*
- * @returns true if the two objects are equal, false otherwise.
- */
+ * @returns true if the infinite sequences of generated values
+ * would be equal, false otherwise.
+ */
friend bool
operator==(const shuffle_order_engine& __lhs,
const shuffle_order_engine& __rhs)
- { return __lhs._M_b == __rhs._M_b; }
+ { return (__lhs._M_b == __rhs._M_b
+ && std::equal(__lhs._M_v, __lhs._M_v + __k, __rhs._M_v)
+ && __lhs._M_y == __rhs._M_y); }
/**
* @brief Inserts the current state of a %shuffle_order_engine random
template<typename _RandomNumberEngine1, size_t __k1,
typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const std::shuffle_order_engine<_RandomNumberEngine1,
- __k1>&);
+ __k1>& __x);
/**
* @brief Extracts the current state of a % subtract_with_carry_engine
template<typename _RandomNumberEngine1, size_t __k1,
typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::shuffle_order_engine<_RandomNumberEngine1, __k1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::shuffle_order_engine<_RandomNumberEngine1, __k1>& __x);
private:
void _M_initialize()
};
/**
+ * Compares two %shuffle_order_engine random number generator objects
+ * of the same type for inequality.
+ *
+ * @param __lhs A %shuffle_order_engine random number generator object.
+ * @param __rhs Another %shuffle_order_engine random number generator
+ * object.
+ *
+ * @returns true if the infinite sequences of generated values
+ * would be different, false otherwise.
+ */
+ template<typename _RandomNumberEngine, size_t __k>
+ inline bool
+ operator!=(const std::shuffle_order_engine<_RandomNumberEngine,
+ __k>& __lhs,
+ const std::shuffle_order_engine<_RandomNumberEngine,
+ __k>& __rhs)
+ { return !(__lhs == __rhs); }
+
+
+ /**
* The classic Minimum Standard rand0 of Lewis, Goodman, and Miller.
*/
typedef linear_congruential_engine<uint_fast32_t, 16807UL, 0UL, 2147483647UL>
#endif
- result_type
- min() const
+ static constexpr result_type
+ min()
{ return std::numeric_limits<result_type>::min(); }
- result_type
- max() const
+ static constexpr result_type
+ max()
{ return std::numeric_limits<result_type>::max(); }
double
- entropy() const
+ entropy() const noexcept
{ return 0.0; }
result_type
#endif
};
- /* @} */ // group std_random_generators
+ /* @} */ // group random_generators
/**
- * @addtogroup std_random_distributions Random Number Distributions
- * @ingroup std_random
+ * @addtogroup random_distributions Random Number Distributions
+ * @ingroup random
* @{
*/
/**
- * @addtogroup std_random_distributions_uniform Uniform Distributions
- * @ingroup std_random_distributions
+ * @addtogroup random_distributions_uniform Uniform Distributions
+ * @ingroup random_distributions
* @{
*/
b() const
{ return _M_b; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
+
private:
_IntType _M_a;
_IntType _M_b;
{ return _M_param.b(); }
/**
- * @brief Returns the inclusive lower bound of the distribution range.
- */
- result_type
- min() const
- { return this->a(); }
-
- /**
- * @brief Returns the inclusive upper bound of the distribution range.
- */
- result_type
- max() const
- { return this->b(); }
-
- /**
* @brief Returns the parameter set of the distribution.
*/
param_type
{ _M_param = __param; }
/**
- * Gets a uniformly distributed random number in the range
- * @f$(min, max)@f$.
+ * @brief Returns the inclusive lower bound of the distribution range.
+ */
+ result_type
+ min() const
+ { return this->a(); }
+
+ /**
+ * @brief Returns the inclusive upper bound of the distribution range.
+ */
+ result_type
+ max() const
+ { return this->b(); }
+
+ /**
+ * @brief Generating functions.
*/
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
- /**
- * Gets a uniform random number in the range @f$[0, n)@f$.
- *
- * This function is aimed at use with std::random_shuffle.
- */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng,
const param_type& __p);
+ /**
+ * @brief Return true if two uniform integer distributions have
+ * the same parameters.
+ */
+ friend bool
+ operator==(const uniform_int_distribution& __d1,
+ const uniform_int_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
+ private:
param_type _M_param;
};
/**
+ * @brief Return true if two uniform integer distributions have
+ * different parameters.
+ */
+ template<typename _IntType>
+ inline bool
+ operator!=(const std::uniform_int_distribution<_IntType>& __d1,
+ const std::uniform_int_distribution<_IntType>& __d2)
+ { return !(__d1 == __d2); }
+
+ /**
* @brief Inserts a %uniform_int_distribution random number
* distribution @p __x into the output stream @p os.
*
b() const
{ return _M_b; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
+
private:
_RealType _M_a;
_RealType _M_b;
/**
* @brief Constructs a uniform_real_distribution object.
*
- * @param __min [IN] The lower bound of the distribution.
- * @param __max [IN] The upper bound of the distribution.
+ * @param __a [IN] The lower bound of the distribution.
+ * @param __b [IN] The upper bound of the distribution.
*/
explicit
uniform_real_distribution(_RealType __a = _RealType(0),
{ return _M_param.b(); }
/**
+ * @brief Returns the parameter set of the distribution.
+ */
+ param_type
+ param() const
+ { return _M_param; }
+
+ /**
+ * @brief Sets the parameter set of the distribution.
+ * @param __param The new parameter set of the distribution.
+ */
+ void
+ param(const param_type& __param)
+ { _M_param = __param; }
+
+ /**
* @brief Returns the inclusive lower bound of the distribution range.
*/
result_type
{ return this->b(); }
/**
- * @brief Returns the parameter set of the distribution.
- */
- param_type
- param() const
- { return _M_param; }
-
- /**
- * @brief Sets the parameter set of the distribution.
- * @param __param The new parameter set of the distribution.
+ * @brief Generating functions.
*/
- void
- param(const param_type& __param)
- { _M_param = __param; }
-
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
return (__aurng() * (__p.b() - __p.a())) + __p.a();
}
+ /**
+ * @brief Return true if two uniform real distributions have
+ * the same parameters.
+ */
+ friend bool
+ operator==(const uniform_real_distribution& __d1,
+ const uniform_real_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
private:
param_type _M_param;
};
/**
+ * @brief Return true if two uniform real distributions have
+ * different parameters.
+ */
+ template<typename _IntType>
+ inline bool
+ operator!=(const std::uniform_real_distribution<_IntType>& __d1,
+ const std::uniform_real_distribution<_IntType>& __d2)
+ { return !(__d1 == __d2); }
+
+ /**
* @brief Inserts a %uniform_real_distribution random number
* distribution @p __x into the output stream @p __os.
*
operator>>(std::basic_istream<_CharT, _Traits>&,
std::uniform_real_distribution<_RealType>&);
- /* @} */ // group std_random_distributions_uniform
+ /* @} */ // group random_distributions_uniform
/**
- * @addtogroup std_random_distributions_normal Normal Distributions
- * @ingroup std_random_distributions
+ * @addtogroup random_distributions_normal Normal Distributions
+ * @ingroup random_distributions
* @{
*/
stddev() const
{ return _M_stddev; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return (__p1._M_mean == __p2._M_mean
+ && __p1._M_stddev == __p2._M_stddev); }
+
private:
_RealType _M_mean;
_RealType _M_stddev;
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
const param_type& __p);
/**
+ * @brief Return true if two normal distributions have
+ * the same parameters and the sequences that would
+ * be generated are equal.
+ */
+ template<typename _RealType1>
+ friend bool
+ operator==(const std::normal_distribution<_RealType1>& __d1,
+ const std::normal_distribution<_RealType1>& __d2);
+
+ /**
* @brief Inserts a %normal_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::normal_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::normal_distribution<_RealType1>& __x);
/**
* @brief Extracts a %normal_distribution random number distribution
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::normal_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::normal_distribution<_RealType1>& __x);
private:
param_type _M_param;
bool _M_saved_available;
};
+ /**
+ * @brief Return true if two normal distributions are different.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::normal_distribution<_RealType>& __d1,
+ const std::normal_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
/**
* @brief A lognormal_distribution random number distribution.
s() const
{ return _M_s; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_m == __p2._M_m && __p1._M_s == __p2._M_s; }
+
private:
_RealType _M_m;
_RealType _M_s;
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
{ return std::exp(__p.s() * _M_nd(__urng) + __p.m()); }
/**
+ * @brief Return true if two lognormal distributions have
+ * the same parameters and the sequences that would
+ * be generated are equal.
+ */
+ friend bool
+ operator==(const lognormal_distribution& __d1,
+ const lognormal_distribution& __d2)
+ { return (__d1._M_param == __d2._M_param
+ && __d1._M_nd == __d2._M_nd); }
+
+ /**
* @brief Inserts a %lognormal_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::lognormal_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::lognormal_distribution<_RealType1>& __x);
/**
* @brief Extracts a %lognormal_distribution random number distribution
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::lognormal_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::lognormal_distribution<_RealType1>& __x);
private:
param_type _M_param;
std::normal_distribution<result_type> _M_nd;
};
-
+ /**
+ * @brief Return true if two lognormal distributions are different.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::lognormal_distribution<_RealType>& __d1,
+ const std::lognormal_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
+
/**
* @brief A gamma continuous distribution for random numbers.
*
beta() const
{ return _M_beta; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return (__p1._M_alpha == __p2._M_alpha
+ && __p1._M_beta == __p2._M_beta); }
+
private:
void
_M_initialize();
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
const param_type& __p);
/**
+ * @brief Return true if two gamma distributions have the same
+ * parameters and the sequences that would be generated
+ * are equal.
+ */
+ friend bool
+ operator==(const gamma_distribution& __d1,
+ const gamma_distribution& __d2)
+ { return (__d1._M_param == __d2._M_param
+ && __d1._M_nd == __d2._M_nd); }
+
+ /**
* @brief Inserts a %gamma_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::gamma_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::gamma_distribution<_RealType1>& __x);
/**
* @brief Extracts a %gamma_distribution random number distribution
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::gamma_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::gamma_distribution<_RealType1>& __x);
private:
param_type _M_param;
std::normal_distribution<result_type> _M_nd;
};
+ /**
+ * @brief Return true if two gamma distributions are different.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::gamma_distribution<_RealType>& __d1,
+ const std::gamma_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
/**
* @brief A chi_squared_distribution random number distribution.
n() const
{ return _M_n; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_n == __p2._M_n; }
+
private:
_RealType _M_n;
};
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
}
/**
+ * @brief Return true if two Chi-squared distributions have
+ * the same parameters and the sequences that would be
+ * generated are equal.
+ */
+ friend bool
+ operator==(const chi_squared_distribution& __d1,
+ const chi_squared_distribution& __d2)
+ { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; }
+
+ /**
* @brief Inserts a %chi_squared_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::chi_squared_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::chi_squared_distribution<_RealType1>& __x);
/**
* @brief Extracts a %chi_squared_distribution random number distribution
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::chi_squared_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::chi_squared_distribution<_RealType1>& __x);
private:
param_type _M_param;
std::gamma_distribution<result_type> _M_gd;
};
+ /**
+ * @brief Return true if two Chi-squared distributions are different.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::chi_squared_distribution<_RealType>& __d1,
+ const std::chi_squared_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
/**
* @brief A cauchy_distribution random number distribution.
b() const
{ return _M_b; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
+
private:
_RealType _M_a;
_RealType _M_b;
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng,
const param_type& __p);
+ /**
+ * @brief Return true if two Cauchy distributions have
+ * the same parameters.
+ */
+ friend bool
+ operator==(const cauchy_distribution& __d1,
+ const cauchy_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
private:
param_type _M_param;
};
/**
+ * @brief Return true if two Cauchy distributions have
+ * different parameters.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::cauchy_distribution<_RealType>& __d1,
+ const std::cauchy_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
+ /**
* @brief Inserts a %cauchy_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::cauchy_distribution<_RealType>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::cauchy_distribution<_RealType>& __x);
/**
* @brief Extracts a %cauchy_distribution random number distribution
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::cauchy_distribution<_RealType>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::cauchy_distribution<_RealType>& __x);
/**
n() const
{ return _M_n; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_m == __p2._M_m && __p1._M_n == __p2._M_n; }
+
private:
_RealType _M_m;
_RealType _M_n;
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
}
/**
+ * @brief Return true if two Fisher f distributions have
+ * the same parameters and the sequences that would
+ * be generated are equal.
+ */
+ friend bool
+ operator==(const fisher_f_distribution& __d1,
+ const fisher_f_distribution& __d2)
+ { return (__d1._M_param == __d2._M_param
+ && __d1._M_gd_x == __d2._M_gd_x
+ && __d1._M_gd_y == __d2._M_gd_y); }
+
+ /**
* @brief Inserts a %fisher_f_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::fisher_f_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::fisher_f_distribution<_RealType1>& __x);
/**
* @brief Extracts a %fisher_f_distribution random number distribution
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::fisher_f_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::fisher_f_distribution<_RealType1>& __x);
private:
param_type _M_param;
std::gamma_distribution<result_type> _M_gd_x, _M_gd_y;
};
+ /**
+ * @brief Return true if two Fisher f distributions are diferent.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::fisher_f_distribution<_RealType>& __d1,
+ const std::fisher_f_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
/**
* @brief A student_t_distribution random number distribution.
n() const
{ return _M_n; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_n == __p2._M_n; }
+
private:
_RealType _M_n;
};
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
}
/**
+ * @brief Return true if two Student t distributions have
+ * the same parameters and the sequences that would
+ * be generated are equal.
+ */
+ friend bool
+ operator==(const student_t_distribution& __d1,
+ const student_t_distribution& __d2)
+ { return (__d1._M_param == __d2._M_param
+ && __d1._M_nd == __d2._M_nd && __d1._M_gd == __d2._M_gd); }
+
+ /**
* @brief Inserts a %student_t_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::student_t_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::student_t_distribution<_RealType1>& __x);
/**
* @brief Extracts a %student_t_distribution random number distribution
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::student_t_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::student_t_distribution<_RealType1>& __x);
private:
param_type _M_param;
std::gamma_distribution<result_type> _M_gd;
};
- /* @} */ // group std_random_distributions_normal
+ /**
+ * @brief Return true if two Student t distributions are different.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::student_t_distribution<_RealType>& __d1,
+ const std::student_t_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
+
+ /* @} */ // group random_distributions_normal
/**
- * @addtogroup std_random_distributions_bernoulli Bernoulli Distributions
- * @ingroup std_random_distributions
+ * @addtogroup random_distributions_bernoulli Bernoulli Distributions
+ * @ingroup random_distributions
* @{
*/
p() const
{ return _M_p; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_p == __p2._M_p; }
+
private:
double _M_p;
};
{ return std::numeric_limits<result_type>::max(); }
/**
- * @brief Returns the next value in the Bernoullian sequence.
+ * @brief Generating functions.
*/
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
return false;
}
+ /**
+ * @brief Return true if two Bernoulli distributions have
+ * the same parameters.
+ */
+ friend bool
+ operator==(const bernoulli_distribution& __d1,
+ const bernoulli_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
private:
param_type _M_param;
};
/**
+ * @brief Return true if two Bernoulli distributions have
+ * different parameters.
+ */
+ inline bool
+ operator!=(const std::bernoulli_distribution& __d1,
+ const std::bernoulli_distribution& __d2)
+ { return !(__d1 == __d2); }
+
+ /**
* @brief Inserts a %bernoulli_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _CharT, typename _Traits>
std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::bernoulli_distribution&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::bernoulli_distribution& __x);
/**
* @brief Extracts a %bernoulli_distribution random number distribution
p() const
{ return _M_p; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_t == __p2._M_t && __p1._M_p == __p2._M_p; }
+
private:
void
_M_initialize();
max() const
{ return _M_param.t(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
const param_type& __p);
/**
+ * @brief Return true if two binomial distributions have
+ * the same parameters and the sequences that would
+ * be generated are equal.
+ */
+ friend bool
+ operator==(const binomial_distribution& __d1,
+ const binomial_distribution& __d2)
+#ifdef _GLIBCXX_USE_C99_MATH_TR1
+ { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; }
+#else
+ { return __d1._M_param == __d2._M_param; }
+#endif
+
+ /**
* @brief Inserts a %binomial_distribution random number distribution
* @p __x into the output stream @p __os.
*
template<typename _IntType1,
typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::binomial_distribution<_IntType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::binomial_distribution<_IntType1>& __x);
/**
* @brief Extracts a %binomial_distribution random number distribution
template<typename _IntType1,
typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::binomial_distribution<_IntType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::binomial_distribution<_IntType1>& __x);
private:
template<typename _UniformRandomNumberGenerator>
std::normal_distribution<double> _M_nd;
};
+ /**
+ * @brief Return true if two binomial distributions are different.
+ */
+ template<typename _IntType>
+ inline bool
+ operator!=(const std::binomial_distribution<_IntType>& __d1,
+ const std::binomial_distribution<_IntType>& __d2)
+ { return !(__d1 == __d2); }
+
/**
* @brief A discrete geometric random number distribution.
*
* The formula for the geometric probability density function is
- * @f$p(i|p) = (1 - p)p^{i-1}@f$ where @f$p@f$ is the parameter of the
+ * @f$p(i|p) = p(1 - p)^{i}@f$ where @f$p@f$ is the parameter of the
* distribution.
*/
template<typename _IntType = int>
param_type(double __p = 0.5)
: _M_p(__p)
{
- _GLIBCXX_DEBUG_ASSERT((_M_p >= 0.0)
- && (_M_p <= 1.0));
+ _GLIBCXX_DEBUG_ASSERT((_M_p > 0.0) && (_M_p < 1.0));
_M_initialize();
}
p() const
{ return _M_p; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_p == __p2._M_p; }
+
private:
void
_M_initialize()
- { _M_log_p = std::log(_M_p); }
+ { _M_log_1_p = std::log(1.0 - _M_p); }
double _M_p;
- double _M_log_p;
+ double _M_log_1_p;
};
// constructors and member function
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng,
const param_type& __p);
+ /**
+ * @brief Return true if two geometric distributions have
+ * the same parameters.
+ */
+ friend bool
+ operator==(const geometric_distribution& __d1,
+ const geometric_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
private:
param_type _M_param;
};
/**
+ * @brief Return true if two geometric distributions have
+ * different parameters.
+ */
+ template<typename _IntType>
+ inline bool
+ operator!=(const std::geometric_distribution<_IntType>& __d1,
+ const std::geometric_distribution<_IntType>& __d2)
+ { return !(__d1 == __d2); }
+
+ /**
* @brief Inserts a %geometric_distribution random number distribution
* @p __x into the output stream @p __os.
*
template<typename _IntType,
typename _CharT, typename _Traits>
std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::geometric_distribution<_IntType>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::geometric_distribution<_IntType>& __x);
/**
* @brief Extracts a %geometric_distribution random number distribution
template<typename _IntType,
typename _CharT, typename _Traits>
std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::geometric_distribution<_IntType>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::geometric_distribution<_IntType>& __x);
/**
explicit
param_type(_IntType __k = 1, double __p = 0.5)
: _M_k(__k), _M_p(__p)
- { }
+ {
+ _GLIBCXX_DEBUG_ASSERT((_M_k > 0) && (_M_p > 0.0) && (_M_p <= 1.0));
+ }
_IntType
k() const
p() const
{ return _M_p; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_k == __p2._M_k && __p1._M_p == __p2._M_p; }
+
private:
_IntType _M_k;
double _M_p;
explicit
negative_binomial_distribution(_IntType __k = 1, double __p = 0.5)
- : _M_param(__k, __p), _M_gd(__k, __p / (1.0 - __p))
+ : _M_param(__k, __p), _M_gd(__k, (1.0 - __p) / __p)
{ }
explicit
negative_binomial_distribution(const param_type& __p)
- : _M_param(__p), _M_gd(__p.k(), __p.p() / (1.0 - __p.p()))
+ : _M_param(__p), _M_gd(__p.k(), (1.0 - __p.p()) / __p.p())
{ }
/**
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng);
const param_type& __p);
/**
+ * @brief Return true if two negative binomial distributions have
+ * the same parameters and the sequences that would be
+ * generated are equal.
+ */
+ friend bool
+ operator==(const negative_binomial_distribution& __d1,
+ const negative_binomial_distribution& __d2)
+ { return __d1._M_param == __d2._M_param && __d1._M_gd == __d2._M_gd; }
+
+ /**
* @brief Inserts a %negative_binomial_distribution random
* number distribution @p __x into the output stream @p __os.
*
*/
template<typename _IntType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::negative_binomial_distribution<_IntType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::negative_binomial_distribution<_IntType1>& __x);
/**
* @brief Extracts a %negative_binomial_distribution random number
*/
template<typename _IntType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::negative_binomial_distribution<_IntType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::negative_binomial_distribution<_IntType1>& __x);
private:
param_type _M_param;
std::gamma_distribution<double> _M_gd;
};
- /* @} */ // group std_random_distributions_bernoulli
+ /**
+ * @brief Return true if two negative binomial distributions are different.
+ */
+ template<typename _IntType>
+ inline bool
+ operator!=(const std::negative_binomial_distribution<_IntType>& __d1,
+ const std::negative_binomial_distribution<_IntType>& __d2)
+ { return !(__d1 == __d2); }
+
+
+ /* @} */ // group random_distributions_bernoulli
/**
- * @addtogroup std_random_distributions_poisson Poisson Distributions
- * @ingroup std_random_distributions
+ * @addtogroup random_distributions_poisson Poisson Distributions
+ * @ingroup random_distributions
* @{
*/
mean() const
{ return _M_mean; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_mean == __p2._M_mean; }
+
private:
// Hosts either log(mean) or the threshold of the simple method.
void
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng,
const param_type& __p);
+ /**
+ * @brief Return true if two Poisson distributions have the same
+ * parameters and the sequences that would be generated
+ * are equal.
+ */
+ friend bool
+ operator==(const poisson_distribution& __d1,
+ const poisson_distribution& __d2)
+#ifdef _GLIBCXX_USE_C99_MATH_TR1
+ { return __d1._M_param == __d2._M_param && __d1._M_nd == __d2._M_nd; }
+#else
+ { return __d1._M_param == __d2._M_param; }
+#endif
+
/**
* @brief Inserts a %poisson_distribution random number distribution
* @p __x into the output stream @p __os.
*/
template<typename _IntType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::poisson_distribution<_IntType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::poisson_distribution<_IntType1>& __x);
/**
* @brief Extracts a %poisson_distribution random number distribution
*/
template<typename _IntType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::poisson_distribution<_IntType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::poisson_distribution<_IntType1>& __x);
private:
param_type _M_param;
};
/**
+ * @brief Return true if two Poisson distributions are different.
+ */
+ template<typename _IntType>
+ inline bool
+ operator!=(const std::poisson_distribution<_IntType>& __d1,
+ const std::poisson_distribution<_IntType>& __d2)
+ { return !(__d1 == __d2); }
+
+
+ /**
* @brief An exponential continuous distribution for random numbers.
*
* The formula for the exponential probability density function is
lambda() const
{ return _M_lambda; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_lambda == __p2._M_lambda; }
+
private:
_RealType _M_lambda;
};
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
{
__detail::_Adaptor<_UniformRandomNumberGenerator, result_type>
__aurng(__urng);
- return -std::log(__aurng()) / __p.lambda();
+ return -std::log(result_type(1) - __aurng()) / __p.lambda();
}
+ /**
+ * @brief Return true if two exponential distributions have the same
+ * parameters.
+ */
+ friend bool
+ operator==(const exponential_distribution& __d1,
+ const exponential_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
private:
param_type _M_param;
};
/**
+ * @brief Return true if two exponential distributions have different
+ * parameters.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::exponential_distribution<_RealType>& __d1,
+ const std::exponential_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
+ /**
* @brief Inserts a %exponential_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::exponential_distribution<_RealType>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::exponential_distribution<_RealType>& __x);
/**
* @brief Extracts a %exponential_distribution random number distribution
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::exponential_distribution<_RealType>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::exponential_distribution<_RealType>& __x);
/**
b() const
{ return _M_b; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
+
private:
_RealType _M_a;
_RealType _M_b;
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng,
const param_type& __p);
+ /**
+ * @brief Return true if two Weibull distributions have the same
+ * parameters.
+ */
+ friend bool
+ operator==(const weibull_distribution& __d1,
+ const weibull_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
private:
param_type _M_param;
};
+ /**
+ * @brief Return true if two Weibull distributions have different
+ * parameters.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::weibull_distribution<_RealType>& __d1,
+ const std::weibull_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
/**
* @brief Inserts a %weibull_distribution random number distribution
* @p __x into the output stream @p __os.
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::weibull_distribution<_RealType>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::weibull_distribution<_RealType>& __x);
/**
* @brief Extracts a %weibull_distribution random number distribution
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::weibull_distribution<_RealType>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::weibull_distribution<_RealType>& __x);
/**
b() const
{ return _M_b; }
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
+
private:
_RealType _M_a;
_RealType _M_b;
max() const
{ return std::numeric_limits<result_type>::max(); }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng,
const param_type& __p);
+ /**
+ * @brief Return true if two extreme value distributions have the same
+ * parameters.
+ */
+ friend bool
+ operator==(const extreme_value_distribution& __d1,
+ const extreme_value_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
private:
param_type _M_param;
};
/**
+ * @brief Return true if two extreme value distributions have different
+ * parameters.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::extreme_value_distribution<_RealType>& __d1,
+ const std::extreme_value_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
+ /**
* @brief Inserts a %extreme_value_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::extreme_value_distribution<_RealType>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::extreme_value_distribution<_RealType>& __x);
/**
* @brief Extracts a %extreme_value_distribution random number
*/
template<typename _RealType, typename _CharT, typename _Traits>
std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::extreme_value_distribution<_RealType>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::extreme_value_distribution<_RealType>& __x);
/**
param_type()
: _M_prob(), _M_cp()
- { _M_initialize(); }
+ { }
template<typename _InputIterator>
param_type(_InputIterator __wbegin,
param_type(size_t __nw, double __xmin, double __xmax,
_Func __fw);
+ // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/
+ param_type(const param_type&) = default;
+ param_type& operator=(const param_type&) = default;
+
std::vector<double>
probabilities() const
- { return _M_prob; }
+ { return _M_prob.empty() ? std::vector<double>(1, 1.0) : _M_prob; }
+
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_prob == __p2._M_prob; }
private:
void
*/
std::vector<double>
probabilities() const
- { return _M_param.probabilities(); }
+ {
+ return _M_param._M_prob.empty()
+ ? std::vector<double>(1, 1.0) : _M_param._M_prob;
+ }
/**
* @brief Returns the parameter set of the distribution.
*/
result_type
max() const
- { return this->_M_param._M_prob.size() - 1; }
+ {
+ return _M_param._M_prob.empty()
+ ? result_type(0) : result_type(_M_param._M_prob.size() - 1);
+ }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
const param_type& __p);
/**
+ * @brief Return true if two discrete distributions have the same
+ * parameters.
+ */
+ friend bool
+ operator==(const discrete_distribution& __d1,
+ const discrete_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
+ /**
* @brief Inserts a %discrete_distribution random number distribution
* @p __x into the output stream @p __os.
*
*/
template<typename _IntType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::discrete_distribution<_IntType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::discrete_distribution<_IntType1>& __x);
/**
* @brief Extracts a %discrete_distribution random number distribution
*/
template<typename _IntType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::discrete_distribution<_IntType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::discrete_distribution<_IntType1>& __x);
private:
param_type _M_param;
};
+ /**
+ * @brief Return true if two discrete distributions have different
+ * parameters.
+ */
+ template<typename _IntType>
+ inline bool
+ operator!=(const std::discrete_distribution<_IntType>& __d1,
+ const std::discrete_distribution<_IntType>& __d2)
+ { return !(__d1 == __d2); }
+
/**
* @brief A piecewise_constant_distribution random number distribution.
param_type()
: _M_int(), _M_den(), _M_cp()
- { _M_initialize(); }
+ { }
template<typename _InputIteratorB, typename _InputIteratorW>
param_type(_InputIteratorB __bfirst,
param_type(size_t __nw, _RealType __xmin, _RealType __xmax,
_Func __fw);
+ // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/
+ param_type(const param_type&) = default;
+ param_type& operator=(const param_type&) = default;
+
std::vector<_RealType>
intervals() const
- { return _M_int; }
+ {
+ if (_M_int.empty())
+ {
+ std::vector<_RealType> __tmp(2);
+ __tmp[1] = _RealType(1);
+ return __tmp;
+ }
+ else
+ return _M_int;
+ }
std::vector<double>
densities() const
- { return _M_den; }
+ { return _M_den.empty() ? std::vector<double>(1, 1.0) : _M_den; }
+
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; }
private:
void
*/
std::vector<_RealType>
intervals() const
- { return _M_param.intervals(); }
+ {
+ if (_M_param._M_int.empty())
+ {
+ std::vector<_RealType> __tmp(2);
+ __tmp[1] = _RealType(1);
+ return __tmp;
+ }
+ else
+ return _M_param._M_int;
+ }
/**
* @brief Returns a vector of the probability densities.
*/
std::vector<double>
densities() const
- { return _M_param.densities(); }
+ {
+ return _M_param._M_den.empty()
+ ? std::vector<double>(1, 1.0) : _M_param._M_den;
+ }
/**
* @brief Returns the parameter set of the distribution.
*/
result_type
min() const
- { return this->_M_param._M_int.front(); }
+ {
+ return _M_param._M_int.empty()
+ ? result_type(0) : _M_param._M_int.front();
+ }
/**
* @brief Returns the least upper bound value of the distribution.
*/
result_type
max() const
- { return this->_M_param._M_int.back(); }
+ {
+ return _M_param._M_int.empty()
+ ? result_type(1) : _M_param._M_int.back();
+ }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
const param_type& __p);
/**
+ * @brief Return true if two piecewise constant distributions have the
+ * same parameters.
+ */
+ friend bool
+ operator==(const piecewise_constant_distribution& __d1,
+ const piecewise_constant_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
+ /**
* @brief Inserts a %piecewise_constan_distribution random
* number distribution @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::piecewise_constant_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::piecewise_constant_distribution<_RealType1>& __x);
/**
* @brief Extracts a %piecewise_constan_distribution random
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::piecewise_constant_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::piecewise_constant_distribution<_RealType1>& __x);
private:
param_type _M_param;
};
+ /**
+ * @brief Return true if two piecewise constant distributions have
+ * different parameters.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::piecewise_constant_distribution<_RealType>& __d1,
+ const std::piecewise_constant_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
/**
* @brief A piecewise_linear_distribution random number distribution.
param_type()
: _M_int(), _M_den(), _M_cp(), _M_m()
- { _M_initialize(); }
+ { }
template<typename _InputIteratorB, typename _InputIteratorW>
param_type(_InputIteratorB __bfirst,
param_type(size_t __nw, _RealType __xmin, _RealType __xmax,
_Func __fw);
+ // See: http://cpp-next.com/archive/2010/10/implicit-move-must-go/
+ param_type(const param_type&) = default;
+ param_type& operator=(const param_type&) = default;
+
std::vector<_RealType>
intervals() const
- { return _M_int; }
+ {
+ if (_M_int.empty())
+ {
+ std::vector<_RealType> __tmp(2);
+ __tmp[1] = _RealType(1);
+ return __tmp;
+ }
+ else
+ return _M_int;
+ }
std::vector<double>
densities() const
- { return _M_den; }
+ { return _M_den.empty() ? std::vector<double>(2, 1.0) : _M_den; }
+
+ friend bool
+ operator==(const param_type& __p1, const param_type& __p2)
+ { return (__p1._M_int == __p2._M_int
+ && __p1._M_den == __p2._M_den); }
private:
void
*/
std::vector<_RealType>
intervals() const
- { return _M_param.intervals(); }
+ {
+ if (_M_param._M_int.empty())
+ {
+ std::vector<_RealType> __tmp(2);
+ __tmp[1] = _RealType(1);
+ return __tmp;
+ }
+ else
+ return _M_param._M_int;
+ }
/**
* @brief Return a vector of the probability densities of the
*/
std::vector<double>
densities() const
- { return _M_param.densities(); }
+ {
+ return _M_param._M_den.empty()
+ ? std::vector<double>(2, 1.0) : _M_param._M_den;
+ }
/**
* @brief Returns the parameter set of the distribution.
*/
result_type
min() const
- { return this->_M_param._M_int.front(); }
+ {
+ return _M_param._M_int.empty()
+ ? result_type(0) : _M_param._M_int.front();
+ }
/**
* @brief Returns the least upper bound value of the distribution.
*/
result_type
max() const
- { return this->_M_param._M_int.back(); }
+ {
+ return _M_param._M_int.empty()
+ ? result_type(1) : _M_param._M_int.back();
+ }
+ /**
+ * @brief Generating functions.
+ */
template<typename _UniformRandomNumberGenerator>
result_type
operator()(_UniformRandomNumberGenerator& __urng)
- { return this->operator()(__urng, this->param()); }
+ { return this->operator()(__urng, _M_param); }
template<typename _UniformRandomNumberGenerator>
result_type
const param_type& __p);
/**
+ * @brief Return true if two piecewise linear distributions have the
+ * same parameters.
+ */
+ friend bool
+ operator==(const piecewise_linear_distribution& __d1,
+ const piecewise_linear_distribution& __d2)
+ { return __d1._M_param == __d2._M_param; }
+
+ /**
* @brief Inserts a %piecewise_linear_distribution random number
* distribution @p __x into the output stream @p __os.
*
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_ostream<_CharT, _Traits>&
- operator<<(std::basic_ostream<_CharT, _Traits>&,
- const std::piecewise_linear_distribution<_RealType1>&);
+ operator<<(std::basic_ostream<_CharT, _Traits>& __os,
+ const std::piecewise_linear_distribution<_RealType1>& __x);
/**
* @brief Extracts a %piecewise_linear_distribution random number
*/
template<typename _RealType1, typename _CharT, typename _Traits>
friend std::basic_istream<_CharT, _Traits>&
- operator>>(std::basic_istream<_CharT, _Traits>&,
- std::piecewise_linear_distribution<_RealType1>&);
+ operator>>(std::basic_istream<_CharT, _Traits>& __is,
+ std::piecewise_linear_distribution<_RealType1>& __x);
private:
param_type _M_param;
};
+ /**
+ * @brief Return true if two piecewise linear distributions have
+ * different parameters.
+ */
+ template<typename _RealType>
+ inline bool
+ operator!=(const std::piecewise_linear_distribution<_RealType>& __d1,
+ const std::piecewise_linear_distribution<_RealType>& __d2)
+ { return !(__d1 == __d2); }
+
- /* @} */ // group std_random_distributions_poisson
+ /* @} */ // group random_distributions_poisson
- /* @} */ // group std_random_distributions
+ /* @} */ // group random_distributions
/**
- * @addtogroup std_random_utilities Random Number Utilities
- * @ingroup std_random
+ * @addtogroup random_utilities Random Number Utilities
+ * @ingroup random
* @{
*/
std::vector<result_type> _M_v;
};
- /* @} */ // group std_random_utilities
+ /* @} */ // group random_utilities
- /* @} */ // group std_random
+ /* @} */ // group random
-}
+_GLIBCXX_END_NAMESPACE_VERSION
+} // namespace std
+#endif
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