PATH:
opt
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cpanel
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ea-ruby27
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src
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passenger-release-6.1.2
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src
/
cxx_supportlib
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vendor-modified
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boost
/
random
/* boost random/variate_generator.hpp header file * * Copyright Jens Maurer 2002 * Copyright Steven Watanabe 2011 * Distributed under the Boost Software License, Version 1.0. (See * accompanying file LICENSE_1_0.txt or copy at * http://www.boost.org/LICENSE_1_0.txt) * * See http://www.boost.org for most recent version including documentation. * * $Id$ * */ #ifndef BOOST_RANDOM_RANDOM_GENERATOR_HPP #define BOOST_RANDOM_RANDOM_GENERATOR_HPP #include <boost/random/detail/ptr_helper.hpp> #include <boost/random/detail/disable_warnings.hpp> namespace boost { /// \cond hide_private_members namespace random { ///\endcond /** * A random variate generator is used to join a random number * generator together with a random number distribution. * Boost.Random provides a vast choice of \generators as well * as \distributions. * * The argument for the template parameter Engine shall be of * the form U, U&, or U*, where U models a * \uniform_random_number_generator. Then, the member * engine_value_type names U (not the pointer or reference to U). * * Specializations of @c variate_generator satisfy the * requirements of CopyConstructible. They also satisfy the * requirements of Assignable unless the template parameter * Engine is of the form U&. * * The complexity of all functions specified in this section * is constant. No function described in this section except * the constructor throws an exception. */ template<class Engine, class Distribution> class variate_generator { private: typedef boost::random::detail::ptr_helper<Engine> helper_type; public: typedef typename helper_type::value_type engine_value_type; typedef Engine engine_type; typedef Distribution distribution_type; typedef typename Distribution::result_type result_type; /** * Constructs a @c variate_generator object with the associated * \uniform_random_number_generator eng and the associated * \random_distribution d. * * Throws: If and what the copy constructor of Engine or * Distribution throws. */ variate_generator(Engine e, Distribution d) : _eng(e), _dist(d) { } /** Returns: distribution()(engine()) */ result_type operator()() { return _dist(engine()); } /** * Returns: distribution()(engine(), value). */ template<class T> result_type operator()(const T& value) { return _dist(engine(), value); } /** * Returns: A reference to the associated uniform random number generator. */ engine_value_type& engine() { return helper_type::ref(_eng); } /** * Returns: A reference to the associated uniform random number generator. */ const engine_value_type& engine() const { return helper_type::ref(_eng); } /** Returns: A reference to the associated \random_distribution. */ distribution_type& distribution() { return _dist; } /** * Returns: A reference to the associated random distribution. */ const distribution_type& distribution() const { return _dist; } /** * Precondition: distribution().min() is well-formed * * Returns: distribution().min() */ result_type min BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (distribution().min)(); } /** * Precondition: distribution().max() is well-formed * * Returns: distribution().max() */ result_type max BOOST_PREVENT_MACRO_SUBSTITUTION () const { return (distribution().max)(); } private: Engine _eng; distribution_type _dist; }; } // namespace random using random::variate_generator; } // namespace boost #include <boost/random/detail/enable_warnings.hpp> #endif // BOOST_RANDOM_RANDOM_GENERATOR_HPP
[-] uniform_smallint.hpp
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[-] weibull_distribution.hpp
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[-] xor_combine.hpp
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[-] generate_canonical.hpp
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[-] traits.hpp
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[-] laplace_distribution.hpp
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[-] hyperexponential_distribution.hpp
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[-] student_t_distribution.hpp
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[-] lagged_fibonacci.hpp
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[-] uniform_int.hpp
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[-] binomial_distribution.hpp
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[-] uniform_on_sphere.hpp
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[-] bernoulli_distribution.hpp
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[-] triangle_distribution.hpp
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[-] beta_distribution.hpp
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[-] subtract_with_carry.hpp
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[-] uniform_01.hpp
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[-] discrete_distribution.hpp
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[-] variate_generator.hpp
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[-] taus88.hpp
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[-] generalized_inverse_gaussian_distribution.hpp
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[-] random_number_generator.hpp
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[-] exponential_distribution.hpp
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[+]
..
[-] inverse_gaussian_distribution.hpp
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[-] xoshiro.hpp
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[-] inversive_congruential.hpp
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[-] cauchy_distribution.hpp
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[-] faure.hpp
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[-] chi_squared_distribution.hpp
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[-] linear_congruential.hpp
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[-] mersenne_twister.hpp
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[-] lognormal_distribution.hpp
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[-] uniform_int_distribution.hpp
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[-] geometric_distribution.hpp
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[-] piecewise_linear_distribution.hpp
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[-] independent_bits.hpp
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[-] extreme_value_distribution.hpp
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[-] splitmix64.hpp
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[-] gamma_distribution.hpp
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[-] niederreiter_base2.hpp
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[-] poisson_distribution.hpp
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[-] mixmax.hpp
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[-] uniform_real_distribution.hpp
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[-] discard_block.hpp
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[-] seed_seq.hpp
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[-] normal_distribution.hpp
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[-] fisher_f_distribution.hpp
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[-] negative_binomial_distribution.hpp
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[-] shuffle_output.hpp
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[-] linear_feedback_shift.hpp
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[-] additive_combine.hpp
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[+]
detail
[-] shuffle_order.hpp
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[-] random_device.hpp
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[-] sobol.hpp
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[-] ranlux.hpp
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[-] uniform_real.hpp
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[-] non_central_chi_squared_distribution.hpp
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[-] piecewise_constant_distribution.hpp
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