X-Git-Url: http://git.sourceforge.jp/view?p=pf3gnuchains%2Fgcc-fork.git;a=blobdiff_plain;f=libstdc%2B%2B-v3%2Finclude%2Ftr1%2Frandom;fp=libstdc%2B%2B-v3%2Finclude%2Ftr1%2Frandom;h=49a3b21cd818b9d9a97e6a58551665fe87f7a588;hp=10337437fede78fa948e06bd88d6da789f3a484a;hb=c17b0a1c1233bfdedba163adff05feb0e2ffb357;hpb=29e62146123eee0248b91ada23a0aa518093b604 diff --git a/libstdc++-v3/include/tr1/random b/libstdc++-v3/include/tr1/random index 10337437fed..49a3b21cd81 100644 --- a/libstdc++-v3/include/tr1/random +++ b/libstdc++-v3/include/tr1/random @@ -32,8 +32,14 @@ * This is a TR1 C++ Library header. */ -#ifndef _TR1_RANDOM -#define _TR1_RANDOM 1 +#ifndef _GLIBCXX_TR1_RANDOM +#define _GLIBCXX_TR1_RANDOM 1 + +#pragma GCC system_header + +#if defined(_GLIBCXX_INCLUDE_AS_CXX0X) +# error TR1 header cannot be included from C++0x header +#endif #include #include @@ -41,2326 +47,25 @@ #include #include #include -#include -#include #include #include #include #include +#include +#include -namespace std -{ -_GLIBCXX_BEGIN_NAMESPACE(_GLIBCXX_TR1) - - // [5.1] Random number generation - - /** - * @addtogroup tr1_random Random Number Generation - * A facility for generating random numbers on selected distributions. - * @{ - */ - - /* - * Implementation-space details. - */ - namespace __detail - { - template::digits> - struct _Shift - { static const _UIntType __value = 0; }; - - template - struct _Shift<_UIntType, __w, true> - { static const _UIntType __value = _UIntType(1) << __w; }; - - template - struct _Mod; - - // Dispatch based on modulus value to prevent divide-by-zero compile-time - // errors when m == 0. - template - inline _Tp - __mod(_Tp __x) - { return _Mod<_Tp, __a, __c, __m, __m == 0>::__calc(__x); } - - typedef __gnu_cxx::__conditional_type<(sizeof(unsigned) == 4), - unsigned, unsigned long>::__type _UInt32Type; - - /* - * An adaptor class for converting the output of any Generator into - * the input for a specific Distribution. - */ - template - struct _Adaptor - { - typedef typename _Engine::result_type _Engine_result_type; - typedef typename _Distribution::input_type result_type; - - public: - _Adaptor(const _Engine& __g) - : _M_g(__g) { } - - result_type - min() const - { - result_type __return_value = 0; - if (is_integral<_Engine_result_type>::value - && is_integral::value) - __return_value = _M_g.min(); - else if (!is_integral::value) - __return_value = result_type(0); - return __return_value; - } - - result_type - max() const - { - result_type __return_value = 0; - if (is_integral<_Engine_result_type>::value - && is_integral::value) - __return_value = _M_g.max(); - else if (!is_integral::value) - __return_value = result_type(1); - return __return_value; - } - - result_type - operator()(); - - private: - _Engine _M_g; - }; - - /* - * Converts a value generated by the adapted random number generator into a - * value in the input domain for the dependent random number distribution. - * - * Because the type traits are compile time constants only the appropriate - * clause of the if statements will actually be emitted by the compiler. - */ - template - typename _Adaptor<_Engine, _Distribution>::result_type - _Adaptor<_Engine, _Distribution>:: - operator()() - { - result_type __return_value = 0; - if (is_integral<_Engine_result_type>::value - && is_integral::value) - __return_value = _M_g(); - else if (is_integral<_Engine_result_type>::value - && !is_integral::value) - __return_value = result_type(_M_g() - _M_g.min()) - / result_type(_M_g.max() - _M_g.min() + result_type(1)); - else if (!is_integral<_Engine_result_type>::value - && !is_integral::value) - __return_value = result_type(_M_g() - _M_g.min()) - / result_type(_M_g.max() - _M_g.min()); - return __return_value; - } - } // namespace __detail - - /** - * Produces random numbers on a given disribution function using a un uniform - * random number generation engine. - * - * @todo the engine_value_type needs to be studied more carefully. - */ - template - class variate_generator - { - // Concept requirements. - __glibcxx_class_requires(_Engine, _CopyConstructibleConcept) - // __glibcxx_class_requires(_Engine, _EngineConcept) - // __glibcxx_class_requires(_Dist, _EngineConcept) - - public: - typedef _Engine engine_type; - typedef __detail::_Adaptor<_Engine, _Dist> engine_value_type; - typedef _Dist distribution_type; - typedef typename _Dist::result_type result_type; - - // tr1:5.1.1 table 5.1 requirement - typedef typename __gnu_cxx::__enable_if< - is_arithmetic::value, result_type>::__type _IsValidType; - - /** - * Constructs a variate generator with the uniform random number - * generator @p __eng for the random distribution @p __dist. - * - * @throws Any exceptions which may thrown by the copy constructors of - * the @p _Engine or @p _Dist objects. - */ - variate_generator(engine_type __eng, distribution_type __dist) - : _M_engine(__eng), _M_dist(__dist) { } - - /** - * Gets the next generated value on the distribution. - */ - result_type - operator()() - { return _M_dist(_M_engine); } - - /** - * WTF? - */ - template - result_type - operator()(_Tp __value) - { return _M_dist(_M_engine, __value); } - - /** - * Gets a reference to the underlying uniform random number generator - * object. - */ - engine_value_type& - engine() - { return _M_engine; } - - /** - * Gets a const reference to the underlying uniform random number - * generator object. - */ - const engine_value_type& - engine() const - { return _M_engine; } - - /** - * Gets a reference to the underlying random distribution. - */ - distribution_type& - distribution() - { return _M_dist; } - - /** - * Gets a const reference to the underlying random distribution. - */ - const distribution_type& - distribution() const - { return _M_dist; } - - /** - * Gets the closed lower bound of the distribution interval. - */ - result_type - min() const - { return this->distribution().min(); } - - /** - * Gets the closed upper bound of the distribution interval. - */ - result_type - max() const - { return this->distribution().max(); } - - private: - engine_value_type _M_engine; - distribution_type _M_dist; - }; - - - /** - * @addtogroup tr1_random_generators Random Number Generators - * @ingroup tr1_random - * - * These classes define objects which provide random or pseudorandom - * numbers, either from a discrete or a continuous interval. The - * random number generator supplied as a part of this library are - * all uniform random number generators which provide a sequence of - * random number uniformly distributed over their range. - * - * A number generator is a function object with an operator() that - * takes zero arguments and returns a number. - * - * A compliant random number generator must satisy the following - * requirements. - * - *
Random Number Generator Requirements
To be documented.
- * - * @{ - */ - - /** - * @brief A model of a linear congruential random number generator. - * - * A random number generator that produces pseudorandom numbers using the - * linear function @f$x_{i+1}\leftarrow(ax_{i} + c) \bmod m @f$. - * - * The template parameter @p _UIntType must be an unsigned integral type - * large enough to store values up to (__m-1). If the template parameter - * @p __m is 0, the modulus @p __m used is - * std::numeric_limits<_UIntType>::max() plus 1. Otherwise, the template - * parameters @p __a and @p __c must be less than @p __m. - * - * The size of the state is @f$ 1 @f$. - */ - template - class linear_congruential - { - __glibcxx_class_requires(_UIntType, _UnsignedIntegerConcept) - // __glibcpp_class_requires(__a < __m && __c < __m) - - public: - /** The type of the generated random value. */ - typedef _UIntType result_type; - - /** The multiplier. */ - static const _UIntType multiplier = __a; - /** An increment. */ - static const _UIntType increment = __c; - /** The modulus. */ - static const _UIntType modulus = __m; - - /** - * Constructs a %linear_congruential random number generator engine with - * seed @p __s. The default seed value is 1. - * - * @param __s The initial seed value. - */ - explicit - linear_congruential(unsigned long __x0 = 1) - { this->seed(__x0); } - - /** - * Constructs a %linear_congruential random number generator engine - * seeded from the generator function @p __g. - * - * @param __g The seed generator function. - */ - template - linear_congruential(_Gen& __g) - { this->seed(__g); } - - /** - * Reseeds the %linear_congruential random number generator engine - * sequence to the seed @g __s. - * - * @param __s The new seed. - */ - void - seed(unsigned long __s = 1); - - /** - * Reseeds the %linear_congruential random number generator engine - * sequence using values from the generator function @p __g. - * - * @param __g the seed generator function. - */ - template - void - seed(_Gen& __g) - { seed(__g, typename is_fundamental<_Gen>::type()); } - - /** - * Gets the smallest possible value in the output range. - * - * The minumum depends on the @p __c parameter: if it is zero, the - * minimum generated must be > 0, otherwise 0 is allowed. - */ - result_type - min() const - { return (__detail::__mod<_UIntType, 1, 0, __m>(__c) == 0) ? 1 : 0; } - - /** - * Gets the largest possible value in the output range. - */ - result_type - max() const - { return __m - 1; } - - /** - * Gets the next random number in the sequence. - */ - result_type - operator()(); - - /** - * Compares two linear congruential random number generator - * objects of the same type for equality. - * - * @param __lhs A linear congruential random number generator object. - * @param __rhs Another linear congruential random number generator obj. - * - * @returns true if the two objects are equal, false otherwise. - */ - friend bool - operator==(const linear_congruential& __lhs, - const linear_congruential& __rhs) - { return __lhs._M_x == __rhs._M_x; } - - /** - * 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 obj. - * - * @returns true if the two objects are not equal, false otherwise. - */ - friend bool - operator!=(const linear_congruential& __lhs, - const linear_congruential& __rhs) - { return !(__lhs == __rhs); } - - /** - * Writes the textual representation of the state x(i) of x to @p __os. - * - * @param __os The output stream. - * @param __lcr A % linear_congruential random number generator. - * @returns __os. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const linear_congruential<_UIntType1, __a1, __c1, - __m1>& __lcr); - - /** - * Sets the state of the engine by reading its textual - * representation from @p __is. - * - * The textual representation must have been previously written using an - * output stream whose imbued locale and whose type's template - * specialization arguments _CharT and _Traits were the same as those of - * @p __is. - * - * @param __is The input stream. - * @param __lcr A % linear_congruential random number generator. - * @returns __is. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - linear_congruential<_UIntType1, __a1, __c1, __m1>& __lcr); - - private: - template - void - seed(_Gen& __g, true_type) - { return seed(static_cast(__g)); } - - template - void - seed(_Gen& __g, false_type); - - _UIntType _M_x; - }; - - /** - * The classic Minimum Standard rand0 of Lewis, Goodman, and Miller. - */ - typedef linear_congruential minstd_rand0; - - /** - * An alternative LCR (Lehmer Generator function) . - */ - typedef linear_congruential minstd_rand; - - - /** - * A generalized feedback shift register discrete random number generator. - * - * This algorithm avoind multiplication and division and is designed to be - * friendly to a pipelined architecture. If the parameters are chosen - * correctly, this generator will produce numbers with a very long period and - * fairly good apparent entropy, although still not cryptographically strong. - * - * The best way to use this generator is with the predefined mt19937 class. - * - * 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. - */ - template - class mersenne_twister - { - __glibcxx_class_requires(_UIntType, _UnsignedIntegerConcept) - - public: - // types - typedef _UIntType result_type; - - // parameter values - static const int word_size = __w; - static const int state_size = __n; - static const int shift_size = __m; - static const int mask_bits = __r; - static const _UIntType parameter_a = __a; - static const int output_u = __u; - static const int output_s = __s; - static const _UIntType output_b = __b; - static const int output_t = __t; - static const _UIntType output_c = __c; - static const int output_l = __l; - - // constructors and member function - mersenne_twister() - { seed(); } - - explicit - mersenne_twister(unsigned long __value) - { seed(__value); } - - template - mersenne_twister(_Gen& __g) - { seed(__g); } - - void - seed() - { seed(5489UL); } - - void - seed(unsigned long __value); - - template - void - seed(_Gen& __g) - { seed(__g, typename is_fundamental<_Gen>::type()); } - - result_type - min() const - { return 0; }; - - result_type - max() const - { return __detail::_Shift<_UIntType, __w>::__value - 1; } - - result_type - operator()(); - - /** - * Compares two % mersenne_twister random number generator objects of - * the same type for equality. - * - * @param __lhs A % mersenne_twister random number generator object. - * @param __rhs Another % mersenne_twister random number generator - * object. - * - * @returns true if the two objects are equal, false otherwise. - */ - friend bool - operator==(const mersenne_twister& __lhs, - const mersenne_twister& __rhs) - { return std::equal(__lhs._M_x, __lhs._M_x + state_size, __rhs._M_x); } - - /** - * Compares two % mersenne_twister random number generator objects of - * the same type for inequality. - * - * @param __lhs A % mersenne_twister random number generator object. - * @param __rhs Another % mersenne_twister random number generator - * object. - * - * @returns true if the two objects are not equal, false otherwise. - */ - friend bool - operator!=(const mersenne_twister& __lhs, - const mersenne_twister& __rhs) - { return !(__lhs == __rhs); } - - /** - * Inserts the current state of a % mersenne_twister random number - * generator engine @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A % mersenne_twister random number generator engine. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const mersenne_twister<_UIntType1, __w1, __n1, __m1, __r1, - __a1, __u1, __s1, __b1, __t1, __c1, __l1>& __x); - - /** - * Extracts the current state of a % mersenne_twister random number - * generator engine @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A % mersenne_twister random number generator engine. - * - * @returns The input stream with the state of @p __x extracted or in - * an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - mersenne_twister<_UIntType1, __w1, __n1, __m1, __r1, - __a1, __u1, __s1, __b1, __t1, __c1, __l1>& __x); - - private: - template - void - seed(_Gen& __g, true_type) - { return seed(static_cast(__g)); } - - template - void - seed(_Gen& __g, false_type); - - _UIntType _M_x[state_size]; - int _M_p; - }; - - /** - * The classic Mersenne Twister. - * - * Reference: - * M. Matsumoto and T. Nishimura, "Mersenne Twister: A 623-Dimensionally - * Equidistributed Uniform Pseudo-Random Number Generator", ACM Transactions - * on Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30. - */ - typedef mersenne_twister< - unsigned long, 32, 624, 397, 31, - 0x9908b0dful, 11, 7, - 0x9d2c5680ul, 15, - 0xefc60000ul, 18 - > mt19937; - - - /** - * @brief The Marsaglia-Zaman generator. - * - * This is a model of a Generalized Fibonacci discrete random number - * generator, sometimes referred to as the SWC generator. - * - * A discrete random number generator that produces pseudorandom - * numbers using @f$x_{i}\leftarrow(x_{i - s} - x_{i - r} - - * carry_{i-1}) \bmod m @f$. - * - * The size of the state is @f$ r @f$ - * and the maximum period of the generator is @f$ m^r - m^s -1 @f$. - * - * N1688[4.13] says "the template parameter _IntType shall denote an integral - * type large enough to store values up to m." - * - * @if maint - * @var _M_x The state of the generator. This is a ring buffer. - * @var _M_carry The carry. - * @var _M_p Current index of x(i - r). - * @endif - */ - template - class subtract_with_carry - { - __glibcxx_class_requires(_IntType, _IntegerConcept) - - public: - /** The type of the generated random value. */ - typedef _IntType result_type; - - // parameter values - static const _IntType modulus = __m; - static const int long_lag = __r; - static const int short_lag = __s; - - /** - * Constructs a default-initialized % subtract_with_carry random number - * generator. - */ - subtract_with_carry() - { this->seed(); } - - /** - * Constructs an explicitly seeded % subtract_with_carry random number - * generator. - */ - explicit - subtract_with_carry(unsigned long __value) - { this->seed(__value); } - - /** - * Constructs a %subtract_with_carry random number generator engine - * seeded from the generator function @p __g. - * - * @param __g The seed generator function. - */ - template - subtract_with_carry(_Gen& __g) - { this->seed(__g); } - - /** - * Seeds the initial state @f$ x_0 @f$ of the random number generator. - * - * N1688[4.19] modifies this as follows. If @p __value == 0, - * sets value to 19780503. In any case, with a linear - * congruential generator lcg(i) having parameters @f$ m_{lcg} = - * 2147483563, a_{lcg} = 40014, c_{lcg} = 0, and lcg(0) = value - * @f$, sets @f$ x_{-r} \dots x_{-1} @f$ to @f$ lcg(1) \bmod m - * \dots lcg(r) \bmod m @f$ respectively. If @f$ x_{-1} = 0 @f$ - * set carry to 1, otherwise sets carry to 0. - */ - void - seed(unsigned long __value = 19780503); - - /** - * Seeds the initial state @f$ x_0 @f$ of the % subtract_with_carry - * random number generator. - */ - template - void - seed(_Gen& __g) - { seed(__g, typename is_fundamental<_Gen>::type()); } - - /** - * Gets the inclusive minimum value of the range of random integers - * returned by this generator. - */ - result_type - min() const - { return 0; } - - /** - * Gets the inclusive maximum value of the range of random integers - * returned by this generator. - */ - result_type - max() const - { return this->modulus - 1; } - - /** - * Gets the next random number in the sequence. - */ - result_type - operator()(); - - /** - * Compares two % subtract_with_carry random number generator objects of - * the same type for equality. - * - * @param __lhs A % subtract_with_carry random number generator object. - * @param __rhs Another % subtract_with_carry random number generator - * object. - * - * @returns true if the two objects are equal, false otherwise. - */ - friend bool - operator==(const subtract_with_carry& __lhs, - const subtract_with_carry& __rhs) - { return std::equal(__lhs._M_x, __lhs._M_x + long_lag, __rhs._M_x); } - - /** - * Compares two % subtract_with_carry random number generator objects of - * the same type for inequality. - * - * @param __lhs A % subtract_with_carry random number generator object. - * @param __rhs Another % subtract_with_carry random number generator - * object. - * - * @returns true if the two objects are not equal, false otherwise. - */ - friend bool - operator!=(const subtract_with_carry& __lhs, - const subtract_with_carry& __rhs) - { return !(__lhs == __rhs); } - - /** - * Inserts the current state of a % subtract_with_carry random number - * generator engine @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A % subtract_with_carry random number generator engine. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const subtract_with_carry<_IntType1, __m1, __s1, - __r1>& __x); - - /** - * Extracts the current state of a % subtract_with_carry random number - * generator engine @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A % subtract_with_carry random number generator engine. - * - * @returns The input stream with the state of @p __x extracted or in - * an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - subtract_with_carry<_IntType1, __m1, __s1, __r1>& __x); - - private: - template - void - seed(_Gen& __g, true_type) - { return seed(static_cast(__g)); } - - template - void - seed(_Gen& __g, false_type); - - typedef typename __gnu_cxx::__add_unsigned<_IntType>::__type _UIntType; - - _UIntType _M_x[long_lag]; - _UIntType _M_carry; - int _M_p; - }; - - - /** - * @brief The Marsaglia-Zaman generator (floats version). - * - * @if maint - * @var _M_x The state of the generator. This is a ring buffer. - * @var _M_carry The carry. - * @var _M_p Current index of x(i - r). - * @var _M_npows Precomputed negative powers of 2. - * @endif - */ - template - class subtract_with_carry_01 - { - public: - /** The type of the generated random value. */ - typedef _RealType result_type; - - // parameter values - static const int word_size = __w; - static const int long_lag = __r; - static const int short_lag = __s; - - /** - * Constructs a default-initialized % subtract_with_carry_01 random - * number generator. - */ - subtract_with_carry_01() - { - this->seed(); - _M_initialize_npows(); - } - - /** - * Constructs an explicitly seeded % subtract_with_carry_01 random number - * generator. - */ - explicit - subtract_with_carry_01(unsigned long __value) - { - this->seed(__value); - _M_initialize_npows(); - } - - /** - * Constructs a % subtract_with_carry_01 random number generator engine - * seeded from the generator function @p __g. - * - * @param __g The seed generator function. - */ - template - subtract_with_carry_01(_Gen& __g) - { - this->seed(__g); - _M_initialize_npows(); - } - - /** - * Seeds the initial state @f$ x_0 @f$ of the random number generator. - */ - void - seed(unsigned long __value = 19780503); - - /** - * Seeds the initial state @f$ x_0 @f$ of the % subtract_with_carry_01 - * random number generator. - */ - template - void - seed(_Gen& __g) - { seed(__g, typename is_fundamental<_Gen>::type()); } - - /** - * Gets the minimum value of the range of random floats - * returned by this generator. - */ - result_type - min() const - { return 0.0; } - - /** - * Gets the maximum value of the range of random floats - * returned by this generator. - */ - result_type - max() const - { return 1.0; } - - /** - * Gets the next random number in the sequence. - */ - result_type - operator()(); - - /** - * Compares two % subtract_with_carry_01 random number generator objects - * of the same type for equality. - * - * @param __lhs A % subtract_with_carry_01 random number - * generator object. - * @param __rhs Another % subtract_with_carry_01 random number generator - * object. - * - * @returns true if the two objects are equal, false otherwise. - */ - friend bool - operator==(const subtract_with_carry_01& __lhs, - const subtract_with_carry_01& __rhs) - { - for (int __i = 0; __i < long_lag; ++__i) - if (!std::equal(__lhs._M_x[__i], __lhs._M_x[__i] + __n, - __rhs._M_x[__i])) - return false; - return true; - } - - /** - * Compares two % subtract_with_carry_01 random number generator objects - * of the same type for inequality. - * - * @param __lhs A % subtract_with_carry_01 random number - * generator object. - * - * @param __rhs Another % subtract_with_carry_01 random number generator - * object. - * - * @returns true if the two objects are not equal, false otherwise. - */ - friend bool - operator!=(const subtract_with_carry_01& __lhs, - const subtract_with_carry_01& __rhs) - { return !(__lhs == __rhs); } - - /** - * Inserts the current state of a % subtract_with_carry_01 random number - * generator engine @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A % subtract_with_carry_01 random number generator engine. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const subtract_with_carry_01<_RealType1, __w1, __s1, - __r1>& __x); - - /** - * Extracts the current state of a % subtract_with_carry_01 random number - * generator engine @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A % subtract_with_carry_01 random number generator engine. - * - * @returns The input stream with the state of @p __x extracted or in - * an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - subtract_with_carry_01<_RealType1, __w1, __s1, __r1>& __x); - - private: - template - void - seed(_Gen& __g, true_type) - { return seed(static_cast(__g)); } - - template - void - seed(_Gen& __g, false_type); - - void - _M_initialize_npows(); - - static const int __n = (__w + 31) / 32; - - typedef __detail::_UInt32Type _UInt32Type; - _UInt32Type _M_x[long_lag][__n]; - _RealType _M_npows[__n]; - _UInt32Type _M_carry; - int _M_p; - }; - - typedef subtract_with_carry_01 ranlux_base_01; - - // _GLIBCXX_RESOLVE_LIB_DEFECTS - // 508. Bad parameters for ranlux64_base_01. - typedef subtract_with_carry_01 ranlux64_base_01; - - - /** - * Produces random numbers from some base engine by discarding blocks of - * data. - * - * 0 <= @p __r <= @p __p - */ - template - class discard_block - { - // __glibcxx_class_requires(typename base_type::result_type, - // ArithmeticTypeConcept) - - public: - /** The type of the underlying generator engine. */ - typedef _UniformRandomNumberGenerator base_type; - /** The type of the generated random value. */ - typedef typename base_type::result_type result_type; - - // parameter values - static const int block_size = __p; - static const int used_block = __r; - - /** - * Constructs a default %discard_block engine. - * - * The underlying engine is default constructed as well. - */ - discard_block() - : _M_n(0) { } - - /** - * Copy constructs a %discard_block engine. - * - * Copies an existing base class random number geenerator. - * @param rng An existing (base class) engine object. - */ - explicit - discard_block(const base_type& __rng) - : _M_b(__rng), _M_n(0) { } - - /** - * Seed constructs a %discard_block engine. - * - * Constructs the underlying generator engine seeded with @p __s. - * @param __s A seed value for the base class engine. - */ - explicit - discard_block(unsigned long __s) - : _M_b(__s), _M_n(0) { } - - /** - * Generator construct a %discard_block engine. - * - * @param __g A seed generator function. - */ - template - discard_block(_Gen& __g) - : _M_b(__g), _M_n(0) { } - - /** - * Reseeds the %discard_block object with the default seed for the - * underlying base class generator engine. - */ - void seed() - { - _M_b.seed(); - _M_n = 0; - } - - /** - * Reseeds the %discard_block object with the given seed generator - * function. - * @param __g A seed generator function. - */ - template - void seed(_Gen& __g) - { - _M_b.seed(__g); - _M_n = 0; - } - - /** - * Gets a const reference to the underlying generator engine object. - */ - const base_type& - base() const - { return _M_b; } - - /** - * Gets the minimum value in the generated random number range. - */ - result_type - min() const - { return _M_b.min(); } - - /** - * Gets the maximum value in the generated random number range. - */ - result_type - max() const - { return _M_b.max(); } - - /** - * Gets the next value in the generated random number sequence. - */ - result_type - operator()(); - - /** - * Compares two %discard_block random number generator objects of - * the same type for equality. - * - * @param __lhs A %discard_block random number generator object. - * @param __rhs Another %discard_block random number generator - * object. - * - * @returns true if the two objects are equal, false otherwise. - */ - friend bool - operator==(const discard_block& __lhs, const discard_block& __rhs) - { return (__lhs._M_b == __rhs._M_b) && (__lhs._M_n == __rhs._M_n); } - - /** - * Compares two %discard_block random number generator objects of - * the same type for inequality. - * - * @param __lhs A %discard_block random number generator object. - * @param __rhs Another %discard_block random number generator - * object. - * - * @returns true if the two objects are not equal, false otherwise. - */ - friend bool - operator!=(const discard_block& __lhs, const discard_block& __rhs) - { return !(__lhs == __rhs); } - - /** - * Inserts the current state of a %discard_block random number - * generator engine @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %discard_block random number generator engine. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const discard_block<_UniformRandomNumberGenerator1, - __p1, __r1>& __x); - - /** - * Extracts the current state of a % subtract_with_carry random number - * generator engine @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %discard_block random number generator engine. - * - * @returns The input stream with the state of @p __x extracted or in - * an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - discard_block<_UniformRandomNumberGenerator1, - __p1, __r1>& __x); - - private: - base_type _M_b; - int _M_n; - }; - - - /** - * James's luxury-level-3 integer adaptation of Luescher's generator. - */ - typedef discard_block< - subtract_with_carry, - 223, - 24 - > ranlux3; - - /** - * James's luxury-level-4 integer adaptation of Luescher's generator. - */ - typedef discard_block< - subtract_with_carry, - 389, - 24 - > ranlux4; - - typedef discard_block< - subtract_with_carry_01, - 223, - 24 - > ranlux3_01; - - typedef discard_block< - subtract_with_carry_01, - 389, - 24 - > ranlux4_01; - - - /** - * A random number generator adaptor class that combines two random number - * generator engines into a single output sequence. - */ - template - class xor_combine - { - // __glibcxx_class_requires(typename _UniformRandomNumberGenerator1:: - // result_type, ArithmeticTypeConcept) - // __glibcxx_class_requires(typename _UniformRandomNumberGenerator2:: - // result_type, ArithmeticTypeConcept) - - public: - /** The type of the the first underlying generator engine. */ - typedef _UniformRandomNumberGenerator1 base1_type; - /** The type of the the second underlying generator engine. */ - typedef _UniformRandomNumberGenerator2 base2_type; - - private: - typedef typename base1_type::result_type _Result_type1; - typedef typename base2_type::result_type _Result_type2; - - public: - /** The type of the generated random value. */ - typedef typename __gnu_cxx::__conditional_type<(sizeof(_Result_type1) - > sizeof(_Result_type2)), - _Result_type1, _Result_type2>::__type result_type; - - // parameter values - static const int shift1 = __s1; - static const int shift2 = __s2; - - // constructors and member function - xor_combine() - : _M_b1(), _M_b2() - { _M_initialize_max(); } - - xor_combine(const base1_type& __rng1, const base2_type& __rng2) - : _M_b1(__rng1), _M_b2(__rng2) - { _M_initialize_max(); } - - xor_combine(unsigned long __s) - : _M_b1(__s), _M_b2(__s + 1) - { _M_initialize_max(); } - - template - xor_combine(_Gen& __g) - : _M_b1(__g), _M_b2(__g) - { _M_initialize_max(); } - - void - seed() - { - _M_b1.seed(); - _M_b2.seed(); - } - - template - void - seed(_Gen& __g) - { - _M_b1.seed(__g); - _M_b2.seed(__g); - } - - const base1_type& - base1() const - { return _M_b1; } - - const base2_type& - base2() const - { return _M_b2; } - - result_type - min() const - { return 0; } - - result_type - max() const - { return _M_max; } - - /** - * Gets the next random number in the sequence. - */ - // NB: Not exactly the TR1 formula, per N2079 instead. - result_type - operator()() - { - return ((result_type(_M_b1() - _M_b1.min()) << shift1) - ^ (result_type(_M_b2() - _M_b2.min()) << shift2)); - } - - /** - * Compares two %xor_combine random number generator objects of - * the same type for equality. - * - * @param __lhs A %xor_combine random number generator object. - * @param __rhs Another %xor_combine random number generator - * object. - * - * @returns true if the two objects are equal, false otherwise. - */ - friend bool - operator==(const xor_combine& __lhs, const xor_combine& __rhs) - { - return (__lhs.base1() == __rhs.base1()) - && (__lhs.base2() == __rhs.base2()); - } - - /** - * Compares two %xor_combine random number generator objects of - * the same type for inequality. - * - * @param __lhs A %xor_combine random number generator object. - * @param __rhs Another %xor_combine random number generator - * object. - * - * @returns true if the two objects are not equal, false otherwise. - */ - friend bool - operator!=(const xor_combine& __lhs, const xor_combine& __rhs) - { return !(__lhs == __rhs); } - - /** - * Inserts the current state of a %xor_combine random number - * generator engine @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %xor_combine random number generator engine. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const xor_combine<_UniformRandomNumberGenerator11, __s11, - _UniformRandomNumberGenerator21, __s21>& __x); - - /** - * Extracts the current state of a %xor_combine random number - * generator engine @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %xor_combine random number generator engine. - * - * @returns The input stream with the state of @p __x extracted or in - * an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - xor_combine<_UniformRandomNumberGenerator11, __s11, - _UniformRandomNumberGenerator21, __s21>& __x); - - private: - void - _M_initialize_max(); - - result_type - _M_initialize_max_aux(result_type, result_type, int); - - base1_type _M_b1; - base2_type _M_b2; - result_type _M_max; - }; - - - /** - * A standard interface to a platform-specific non-deterministic - * random number generator (if any are available). - */ - class random_device - { - public: - // types - typedef unsigned int result_type; - - // constructors, destructors and member functions - -#ifdef _GLIBCXX_USE_RANDOM_TR1 - - explicit - random_device(const std::string& __token = "/dev/urandom") - { - if ((__token != "/dev/urandom" && __token != "/dev/random") - || !(_M_file = std::fopen(__token.c_str(), "rb"))) - std::__throw_runtime_error(__N("random_device::" - "random_device(const std::string&)")); - } - - ~random_device() - { std::fclose(_M_file); } - -#else - - explicit - random_device(const std::string& __token = "mt19937") - : _M_mt(_M_strtoul(__token)) { } - - private: - static unsigned long - _M_strtoul(const std::string& __str) - { - unsigned long __ret = 5489UL; - if (__str != "mt19937") - { - const char* __nptr = __str.c_str(); - char* __endptr; - __ret = std::strtoul(__nptr, &__endptr, 0); - if (*__nptr == '\0' || *__endptr != '\0') - std::__throw_runtime_error(__N("random_device::_M_strtoul" - "(const std::string&)")); - } - return __ret; - } - - public: - -#endif - - result_type - min() const - { return std::numeric_limits::min(); } - - result_type - max() const - { return std::numeric_limits::max(); } - - double - entropy() const - { return 0.0; } - - result_type - operator()() - { -#ifdef _GLIBCXX_USE_RANDOM_TR1 - result_type __ret; - std::fread(reinterpret_cast(&__ret), sizeof(result_type), - 1, _M_file); - return __ret; -#else - return _M_mt(); -#endif - } - - private: - random_device(const random_device&); - void operator=(const random_device&); - -#ifdef _GLIBCXX_USE_RANDOM_TR1 - FILE* _M_file; +#if defined(_GLIBCXX_INCLUDE_AS_TR1) +# include #else - mt19937 _M_mt; +# define _GLIBCXX_INCLUDE_AS_TR1 +# define _GLIBCXX_BEGIN_NAMESPACE_TR1 namespace tr1 { +# define _GLIBCXX_END_NAMESPACE_TR1 } +# define _GLIBCXX_TR1 tr1:: +# include +# undef _GLIBCXX_TR1 +# undef _GLIBCXX_END_NAMESPACE_TR1 +# undef _GLIBCXX_BEGIN_NAMESPACE_TR1 +# undef _GLIBCXX_INCLUDE_AS_TR1 #endif - }; - - /* @} */ // group tr1_random_generators - - /** - * @addtogroup tr1_random_distributions Random Number Distributions - * @ingroup tr1_random - * @{ - */ - - /** - * @addtogroup tr1_random_distributions_discrete Discrete Distributions - * @ingroup tr1_random_distributions - * @{ - */ - - /** - * @brief Uniform discrete distribution for random numbers. - * A discrete random distribution on the range @f$[min, max]@f$ with equal - * probability throughout the range. - */ - template - class uniform_int - { - __glibcxx_class_requires(_IntType, _IntegerConcept) - - public: - /** The type of the parameters of the distribution. */ - typedef _IntType input_type; - /** The type of the range of the distribution. */ - typedef _IntType result_type; - - public: - /** - * Constructs a uniform distribution object. - */ - explicit - uniform_int(_IntType __min = 0, _IntType __max = 9) - : _M_min(__min), _M_max(__max) - { - _GLIBCXX_DEBUG_ASSERT(_M_min <= _M_max); - } - - /** - * Gets the inclusive lower bound of the distribution range. - */ - result_type - min() const - { return _M_min; } - - /** - * Gets the inclusive upper bound of the distribution range. - */ - result_type - max() const - { return _M_max; } - - /** - * Resets the distribution state. - * - * Does nothing for the uniform integer distribution. - */ - void - reset() { } - - /** - * Gets a uniformly distributed random number in the range - * @f$(min, max)@f$. - */ - template - result_type - operator()(_UniformRandomNumberGenerator& __urng) - { - typedef typename _UniformRandomNumberGenerator::result_type - _UResult_type; - return _M_call(__urng, _M_min, _M_max, - typename is_integral<_UResult_type>::type()); - } - - /** - * Gets a uniform random number in the range @f$[0, n)@f$. - * - * This function is aimed at use with std::random_shuffle. - */ - template - result_type - operator()(_UniformRandomNumberGenerator& __urng, result_type __n) - { - typedef typename _UniformRandomNumberGenerator::result_type - _UResult_type; - return _M_call(__urng, 0, __n - 1, - typename is_integral<_UResult_type>::type()); - } - - /** - * Inserts a %uniform_int random number distribution @p __x into the - * output stream @p os. - * - * @param __os An output stream. - * @param __x A %uniform_int random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const uniform_int<_IntType1>& __x); - - /** - * Extracts a %unform_int random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %uniform_int random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - uniform_int<_IntType1>& __x); - - private: - template - result_type - _M_call(_UniformRandomNumberGenerator& __urng, - result_type __min, result_type __max, true_type) - { return result_type(__urng() % (__max - __min + 1)) + __min; } - - template - result_type - _M_call(_UniformRandomNumberGenerator& __urng, - result_type __min, result_type __max, false_type) - { - return result_type((__urng() - __urng.min()) - / (__urng.max() - __urng.min()) - * (__max - __min + 1)) + __min; - } - - _IntType _M_min; - _IntType _M_max; - }; - - - /** - * @brief A Bernoulli random number distribution. - * - * Generates a sequence of true and false values with likelihood @f$ p @f$ - * that true will come up and @f$ (1 - p) @f$ that false will appear. - */ - class bernoulli_distribution - { - public: - typedef int input_type; - typedef bool result_type; - - public: - /** - * Constructs a Bernoulli distribution with likelihood @p p. - * - * @param __p [IN] The likelihood of a true result being returned. Must - * be in the interval @f$ [0, 1] @f$. - */ - explicit - bernoulli_distribution(double __p = 0.5) - : _M_p(__p) - { - _GLIBCXX_DEBUG_ASSERT((_M_p >= 0.0) && (_M_p <= 1.0)); - } - - /** - * Gets the @p p parameter of the distribution. - */ - double - p() const - { return _M_p; } - - /** - * Resets the distribution state. - * - * Does nothing for a bernoulli distribution. - */ - void - reset() { } - - /** - * Gets the next value in the Bernoullian sequence. - */ - template - result_type - operator()(_UniformRandomNumberGenerator& __urng) - { - if ((__urng() - __urng.min()) < _M_p * (__urng.max() - __urng.min())) - return true; - return false; - } - - /** - * Inserts a %bernoulli_distribution random number distribution - * @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %bernoulli_distribution random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const bernoulli_distribution& __x); - - /** - * Extracts a %bernoulli_distribution random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %bernoulli_distribution random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - bernoulli_distribution& __x) - { return __is >> __x._M_p; } - - private: - double _M_p; - }; - - - /** - * @brief A discrete geometric random number distribution. - * - * The formula for the geometric probability mass function is - * @f$ p(i) = (1 - p)p^{i-1} @f$ where @f$ p @f$ is the parameter of the - * distribution. - */ - template - class geometric_distribution - { - public: - // types - typedef _RealType input_type; - typedef _IntType result_type; - - // constructors and member function - explicit - geometric_distribution(const _RealType& __p = _RealType(0.5)) - : _M_p(__p) - { - _GLIBCXX_DEBUG_ASSERT((_M_p > 0.0) && (_M_p < 1.0)); - _M_initialize(); - } - - /** - * Gets the distribution parameter @p p. - */ - _RealType - p() const - { return _M_p; } - - void - reset() { } - - template - result_type - operator()(_UniformRandomNumberGenerator& __urng); - - /** - * Inserts a %geometric_distribution random number distribution - * @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %geometric_distribution random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const geometric_distribution<_IntType1, _RealType1>& __x); - - /** - * Extracts a %geometric_distribution random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %geometric_distribution random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - geometric_distribution& __x) - { - __is >> __x._M_p; - __x._M_initialize(); - return __is; - } - - private: - void - _M_initialize() - { _M_log_p = std::log(_M_p); } - - _RealType _M_p; - _RealType _M_log_p; - }; - - - template - class normal_distribution; - - /** - * @brief A discrete Poisson random number distribution. - * - * The formula for the poisson probability mass function is - * @f$ p(i) = \frac{mean^i}{i!} e^{-mean} @f$ where @f$ mean @f$ is the - * parameter of the distribution. - */ - template - class poisson_distribution - { - public: - // types - typedef _RealType input_type; - typedef _IntType result_type; - - // constructors and member function - explicit - poisson_distribution(const _RealType& __mean = _RealType(1)) - : _M_mean(__mean), _M_nd() - { - _GLIBCXX_DEBUG_ASSERT(_M_mean > 0.0); - _M_initialize(); - } - - /** - * Gets the distribution parameter @p mean. - */ - _RealType - mean() const - { return _M_mean; } - - void - reset() - { _M_nd.reset(); } - - template - result_type - operator()(_UniformRandomNumberGenerator& __urng); - - /** - * Inserts a %poisson_distribution random number distribution - * @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %poisson_distribution random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const poisson_distribution<_IntType1, _RealType1>& __x); - - /** - * Extracts a %poisson_distribution random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %poisson_distribution random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - poisson_distribution<_IntType1, _RealType1>& __x); - - private: - void - _M_initialize(); - - // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. - normal_distribution<_RealType> _M_nd; - - _RealType _M_mean; - - // Hosts either log(mean) or the threshold of the simple method. - _RealType _M_lm_thr; -#if _GLIBCXX_USE_C99_MATH_TR1 - _RealType _M_lfm, _M_sm, _M_d, _M_scx, _M_1cx, _M_c2b, _M_cb; -#endif - }; - - - /** - * @brief A discrete binomial random number distribution. - * - * The formula for the binomial probability mass function is - * @f$ p(i) = \binom{n}{i} p^i (1 - p)^{t - i} @f$ where @f$ t @f$ - * and @f$ p @f$ are the parameters of the distribution. - */ - template - class binomial_distribution - { - public: - // types - typedef _RealType input_type; - typedef _IntType result_type; - - // constructors and member function - explicit - binomial_distribution(_IntType __t = 1, - const _RealType& __p = _RealType(0.5)) - : _M_t(__t), _M_p(__p), _M_nd() - { - _GLIBCXX_DEBUG_ASSERT((_M_t >= 0) && (_M_p >= 0.0) && (_M_p <= 1.0)); - _M_initialize(); - } - - /** - * Gets the distribution @p t parameter. - */ - _IntType - t() const - { return _M_t; } - - /** - * Gets the distribution @p p parameter. - */ - _RealType - p() const - { return _M_p; } - - void - reset() - { _M_nd.reset(); } - - template - result_type - operator()(_UniformRandomNumberGenerator& __urng); - - /** - * Inserts a %binomial_distribution random number distribution - * @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %binomial_distribution random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const binomial_distribution<_IntType1, _RealType1>& __x); - - /** - * Extracts a %binomial_distribution random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %binomial_distribution random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - binomial_distribution<_IntType1, _RealType1>& __x); - - private: - void - _M_initialize(); - - template - result_type - _M_waiting(_UniformRandomNumberGenerator& __urng, _IntType __t); - - // NB: Unused when _GLIBCXX_USE_C99_MATH_TR1 is undefined. - normal_distribution<_RealType> _M_nd; - - _RealType _M_q; -#if _GLIBCXX_USE_C99_MATH_TR1 - _RealType _M_d1, _M_d2, _M_s1, _M_s2, _M_c, - _M_a1, _M_a123, _M_s, _M_lf, _M_lp1p; -#endif - _RealType _M_p; - _IntType _M_t; - - bool _M_easy; - }; - - /* @} */ // group tr1_random_distributions_discrete - - /** - * @addtogroup tr1_random_distributions_continuous Continuous Distributions - * @ingroup tr1_random_distributions - * @{ - */ - - /** - * @brief Uniform continuous distribution for random numbers. - * - * A continuous random distribution on the range [min, max) with equal - * probability throughout the range. The URNG should be real-valued and - * deliver number in the range [0, 1). - */ - template - class uniform_real - { - public: - // types - typedef _RealType input_type; - typedef _RealType result_type; - - public: - /** - * Constructs a uniform_real object. - * - * @param __min [IN] The lower bound of the distribution. - * @param __max [IN] The upper bound of the distribution. - */ - explicit - uniform_real(_RealType __min = _RealType(0), - _RealType __max = _RealType(1)) - : _M_min(__min), _M_max(__max) - { - _GLIBCXX_DEBUG_ASSERT(_M_min <= _M_max); - } - - result_type - min() const - { return _M_min; } - - result_type - max() const - { return _M_max; } - - void - reset() { } - - template - result_type - operator()(_UniformRandomNumberGenerator& __urng) - { return (__urng() * (_M_max - _M_min)) + _M_min; } - - /** - * Inserts a %uniform_real random number distribution @p __x into the - * output stream @p __os. - * - * @param __os An output stream. - * @param __x A %uniform_real random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const uniform_real<_RealType1>& __x); - - /** - * Extracts a %unform_real random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %uniform_real random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - uniform_real<_RealType1>& __x); - - private: - _RealType _M_min; - _RealType _M_max; - }; - - - /** - * @brief An exponential continuous distribution for random numbers. - * - * The formula for the exponential probability mass function is - * @f$ p(x) = \lambda e^{-\lambda x} @f$. - * - * - * - * - * - * - * - * - *
Distribution Statistics
Mean@f$ \frac{1}{\lambda} @f$
Median@f$ \frac{\ln 2}{\lambda} @f$
Mode@f$ zero @f$
Range@f$[0, \infty]@f$
Standard Deviation@f$ \frac{1}{\lambda} @f$
- */ - template - class exponential_distribution - { - public: - // types - typedef _RealType input_type; - typedef _RealType result_type; - - public: - /** - * Constructs an exponential distribution with inverse scale parameter - * @f$ \lambda @f$. - */ - explicit - exponential_distribution(const result_type& __lambda = result_type(1)) - : _M_lambda(__lambda) - { - _GLIBCXX_DEBUG_ASSERT(_M_lambda > 0); - } - - /** - * Gets the inverse scale parameter of the distribution. - */ - _RealType - lambda() const - { return _M_lambda; } - - /** - * Resets the distribution. - * - * Has no effect on exponential distributions. - */ - void - reset() { } - - template - result_type - operator()(_UniformRandomNumberGenerator& __urng) - { return -std::log(__urng()) / _M_lambda; } - - /** - * Inserts a %exponential_distribution random number distribution - * @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %exponential_distribution random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const exponential_distribution<_RealType1>& __x); - - /** - * Extracts a %exponential_distribution random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %exponential_distribution random number - * generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - exponential_distribution& __x) - { return __is >> __x._M_lambda; } - - private: - result_type _M_lambda; - }; - - - /** - * @brief A normal continuous distribution for random numbers. - * - * The formula for the normal probability mass function is - * @f$ p(x) = \frac{1}{\sigma \sqrt{2 \pi}} - * e^{- \frac{{x - mean}^ {2}}{2 \sigma ^ {2}} } @f$. - */ - template - class normal_distribution - { - public: - // types - typedef _RealType input_type; - typedef _RealType result_type; - - public: - /** - * Constructs a normal distribution with parameters @f$ mean @f$ and - * @f$ \sigma @f$. - */ - explicit - normal_distribution(const result_type& __mean = result_type(0), - const result_type& __sigma = result_type(1)) - : _M_mean(__mean), _M_sigma(__sigma), _M_saved_available(false) - { - _GLIBCXX_DEBUG_ASSERT(_M_sigma > 0); - } - - /** - * Gets the mean of the distribution. - */ - _RealType - mean() const - { return _M_mean; } - - /** - * Gets the @f$ \sigma @f$ of the distribution. - */ - _RealType - sigma() const - { return _M_sigma; } - - /** - * Resets the distribution. - */ - void - reset() - { _M_saved_available = false; } - - template - result_type - operator()(_UniformRandomNumberGenerator& __urng); - - /** - * Inserts a %normal_distribution random number distribution - * @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %normal_distribution random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const normal_distribution<_RealType1>& __x); - - /** - * Extracts a %normal_distribution random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %normal_distribution random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - normal_distribution<_RealType1>& __x); - - private: - result_type _M_mean; - result_type _M_sigma; - result_type _M_saved; - bool _M_saved_available; - }; - - - /** - * @brief A gamma continuous distribution for random numbers. - * - * The formula for the gamma probability mass function is - * @f$ p(x) = \frac{1}{\Gamma(\alpha)} x^{\alpha - 1} e^{-x} @f$. - */ - template - class gamma_distribution - { - public: - // types - typedef _RealType input_type; - typedef _RealType result_type; - - public: - /** - * Constructs a gamma distribution with parameters @f$ \alpha @f$. - */ - explicit - gamma_distribution(const result_type& __alpha_val = result_type(1)) - : _M_alpha(__alpha_val) - { - _GLIBCXX_DEBUG_ASSERT(_M_alpha > 0); - _M_initialize(); - } - - /** - * Gets the @f$ \alpha @f$ of the distribution. - */ - _RealType - alpha() const - { return _M_alpha; } - - /** - * Resets the distribution. - */ - void - reset() { } - - template - result_type - operator()(_UniformRandomNumberGenerator& __urng); - - /** - * Inserts a %gamma_distribution random number distribution - * @p __x into the output stream @p __os. - * - * @param __os An output stream. - * @param __x A %gamma_distribution random number distribution. - * - * @returns The output stream with the state of @p __x inserted or in - * an error state. - */ - template - friend std::basic_ostream<_CharT, _Traits>& - operator<<(std::basic_ostream<_CharT, _Traits>& __os, - const gamma_distribution<_RealType1>& __x); - - /** - * Extracts a %gamma_distribution random number distribution - * @p __x from the input stream @p __is. - * - * @param __is An input stream. - * @param __x A %gamma_distribution random number generator engine. - * - * @returns The input stream with @p __x extracted or in an error state. - */ - template - friend std::basic_istream<_CharT, _Traits>& - operator>>(std::basic_istream<_CharT, _Traits>& __is, - gamma_distribution& __x) - { - __is >> __x._M_alpha; - __x._M_initialize(); - return __is; - } - - private: - void - _M_initialize(); - - result_type _M_alpha; - - // Hosts either lambda of GB or d of modified Vaduva's. - result_type _M_l_d; - }; - - /* @} */ // group tr1_random_distributions_continuous - /* @} */ // group tr1_random_distributions - /* @} */ // group tr1_random - -_GLIBCXX_END_NAMESPACE -} - -#include -#endif // _TR1_RANDOM +#endif // _GLIBCXX_TR1_RANDOM