[rand.dist.pois.exp]
git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@103621 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
parent
5f9b133e2c
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30a840f5f0
166
include/random
166
include/random
@ -675,7 +675,60 @@ template<class IntType = int>
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class poisson_distribution;
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template<class RealType = double>
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class exponential_distribution;
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class exponential_distribution
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{
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public:
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// types
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typedef RealType result_type;
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class param_type
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{
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public:
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typedef exponential_distribution distribution_type;
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explicit param_type(RealType lambda = 1.0);
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RealType lambda() const;
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friend bool operator==(const param_type& x, const param_type& y);
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friend bool operator!=(const param_type& x, const param_type& y);
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};
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// constructors and reset functions
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explicit exponential_distribution(RealType lambda = 1.0);
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explicit exponential_distribution(const param_type& parm);
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void reset();
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// generating functions
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template<class URNG> result_type operator()(URNG& g);
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template<class URNG> result_type operator()(URNG& g, const param_type& parm);
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// property functions
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RealType lambda() const;
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param_type param() const;
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void param(const param_type& parm);
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result_type min() const;
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result_type max() const;
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friend bool operator==(const exponential_distribution& x,
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const exponential_distribution& y);
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friend bool operator!=(const exponential_distribution& x,
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const exponential_distribution& y);
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template <class charT, class traits>
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friend
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basic_ostream<charT, traits>&
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operator<<(basic_ostream<charT, traits>& os,
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const exponential_distribution& x);
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template <class charT, class traits>
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friend
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basic_istream<charT, traits>&
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operator>>(basic_istream<charT, traits>& is,
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exponential_distribution& x);
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};
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template<class RealType = double>
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class gamma_distribution;
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@ -727,6 +780,7 @@ template<class RealType = double>
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#include <string>
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#include <istream>
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#include <ostream>
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#include <cmath>
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#pragma GCC system_header
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@ -2460,6 +2514,8 @@ seed_seq::generate(_RandomAccessIterator __first, _RandomAccessIterator __last)
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}
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}
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// generate_canonical
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template<class _RealType, size_t __bits, class _URNG>
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_RealType
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generate_canonical(_URNG& __g)
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@ -2599,6 +2655,8 @@ __independent_bits_engine<_Engine, _UIntType>::__eval(true_type)
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return _S;
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}
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// uniform_int_distribution
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template<class _IntType = int>
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class uniform_int_distribution
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{
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@ -2716,6 +2774,8 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
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return __is;
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}
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// uniform_real_distribution
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template<class _RealType = double>
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class uniform_real_distribution
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{
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@ -2817,6 +2877,8 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
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return __is;
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}
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// bernoulli_distribution
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class bernoulli_distribution
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{
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public:
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@ -2905,6 +2967,8 @@ operator>>(basic_istream<_CharT, _Traits>& __is, bernoulli_distribution& __x)
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return __is;
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}
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// binomial_distribution
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template<class _IntType = int>
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class binomial_distribution
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{
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@ -3007,6 +3071,106 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
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return __is;
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}
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// exponential_distribution
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template<class _RealType = double>
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class exponential_distribution
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{
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public:
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// types
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typedef _RealType result_type;
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class param_type
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{
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result_type __lambda_;
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public:
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typedef exponential_distribution distribution_type;
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explicit param_type(result_type __lambda = 1) : __lambda_(__lambda) {}
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result_type lambda() const {return __lambda_;}
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friend bool operator==(const param_type& __x, const param_type& __y)
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{return __x.__lambda_ == __y.__lambda_;}
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friend bool operator!=(const param_type& __x, const param_type& __y)
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{return !(__x == __y);}
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};
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private:
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param_type __p_;
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public:
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// constructors and reset functions
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explicit exponential_distribution(result_type __lambda = 1)
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: __p_(param_type(__lambda)) {}
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explicit exponential_distribution(const param_type& __p) : __p_(__p) {}
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void reset() {}
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// generating functions
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template<class _URNG> result_type operator()(_URNG& __g)
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{return (*this)(__g, __p_);}
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template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
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// property functions
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result_type lambda() const {return __p_.lambda();}
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param_type param() const {return __p_;}
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void param(const param_type& __p) {__p_ = __p;}
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result_type min() const {return 0;}
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result_type max() const
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{return -std::log(1-std::nextafter(result_type(1), result_type(-1))) /
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__p_.lambda();}
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friend bool operator==(const exponential_distribution& __x,
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const exponential_distribution& __y)
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{return __x.__p_ == __y.__p_;}
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friend bool operator!=(const exponential_distribution& __x,
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const exponential_distribution& __y)
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{return !(__x == __y);}
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};
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template <class _RealType>
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template<class _URNG>
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_RealType
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exponential_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
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{
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return -_STD::log
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(
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result_type(1) -
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_STD::generate_canonical<result_type,
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numeric_limits<result_type>::digits>(__g)
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)
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/ __p.lambda();
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}
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template <class _CharT, class _Traits, class _RealType>
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basic_ostream<_CharT, _Traits>&
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operator<<(basic_ostream<_CharT, _Traits>& __os,
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const exponential_distribution<_RealType>& __x)
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{
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__save_flags<_CharT, _Traits> _(__os);
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__os.flags(ios_base::dec | ios_base::left);
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return __os << __x.lambda();
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}
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template <class _CharT, class _Traits, class _RealType>
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basic_istream<_CharT, _Traits>&
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operator>>(basic_istream<_CharT, _Traits>& __is,
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exponential_distribution<_RealType>& __x)
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{
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typedef exponential_distribution<_RealType> _Eng;
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typedef typename _Eng::result_type result_type;
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typedef typename _Eng::param_type param_type;
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__save_flags<_CharT, _Traits> _(__is);
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__is.flags(ios_base::dec | ios_base::skipws);
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result_type __lambda;
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__is >> __lambda;
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if (!__is.fail())
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__x.param(param_type(__lambda));
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return __is;
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}
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_LIBCPP_END_NAMESPACE_STD
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#endif // _LIBCPP_RANDOM
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@ -17,8 +17,6 @@
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#include <random>
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#include <cassert>
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#include <iostream>
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int main()
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{
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{
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@ -0,0 +1,34 @@
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// exponential_distribution& operator=(const exponential_distribution&);
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#include <random>
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#include <cassert>
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void
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test1()
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{
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typedef std::exponential_distribution<> D;
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D d1(0.75);
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D d2;
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assert(d1 != d2);
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d2 = d1;
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assert(d1 == d2);
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}
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int main()
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{
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test1();
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// exponential_distribution(const exponential_distribution&);
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#include <random>
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#include <cassert>
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void
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test1()
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{
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typedef std::exponential_distribution<> D;
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D d1(1.75);
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D d2 = d1;
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assert(d1 == d2);
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}
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int main()
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{
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test1();
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// explicit exponential_distribution(RealType lambda = 1.0);
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#include <random>
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#include <cassert>
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int main()
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{
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{
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typedef std::exponential_distribution<> D;
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D d;
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assert(d.lambda() == 1);
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}
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{
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typedef std::exponential_distribution<> D;
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D d(3.5);
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assert(d.lambda() == 3.5);
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}
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// explicit exponential_distribution(const param_type& parm);
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#include <random>
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#include <cassert>
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int main()
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{
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{
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typedef std::exponential_distribution<> D;
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typedef D::param_type P;
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P p(0.25);
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D d(p);
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assert(d.lambda() == 0.25);
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}
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// bool operator=(const exponential_distribution& x,
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// const exponential_distribution& y);
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// bool operator!(const exponential_distribution& x,
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// const exponential_distribution& y);
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#include <random>
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#include <cassert>
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int main()
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{
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{
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typedef std::exponential_distribution<> D;
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D d1(.25);
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D d2(.25);
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assert(d1 == d2);
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}
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{
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typedef std::exponential_distribution<> D;
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D d1(.28);
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D d2(.25);
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assert(d1 != d2);
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}
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// template<class _URNG> result_type operator()(_URNG& g);
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#include <random>
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#include <cassert>
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#include <vector>
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#include <numeric>
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template <class T>
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inline
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T
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sqr(T x)
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{
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return x * x;
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}
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int main()
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{
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{
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typedef std::exponential_distribution<> D;
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typedef D::param_type P;
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typedef std::knuth_b G;
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G g;
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D d(.75);
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const int N = 1000;
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std::vector<D::result_type> u;
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for (int i = 0; i < N; ++i)
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u.push_back(d(g));
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D::result_type mean = std::accumulate(u.begin(), u.end(),
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D::result_type(0)) / u.size();
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D::result_type var = 0;
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for (int i = 0; i < u.size(); ++i)
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var += sqr(u[i] - mean);
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var /= u.size();
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D::result_type x_mean = 1/d.lambda();
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D::result_type x_var = 1/sqr(d.lambda());
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assert(std::abs(mean - x_mean) / x_mean < 0.01);
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assert(std::abs(var - x_var) / x_var < 0.01);
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}
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
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#include <random>
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#include <cassert>
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#include <vector>
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#include <numeric>
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template <class T>
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inline
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T
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sqr(T x)
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{
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return x * x;
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}
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int main()
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{
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{
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typedef std::exponential_distribution<> D;
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typedef D::param_type P;
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typedef std::knuth_b G;
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G g;
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D d(.75);
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P p(2);
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const int N = 1000;
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std::vector<D::result_type> u;
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for (int i = 0; i < N; ++i)
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u.push_back(d(g, p));
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D::result_type mean = std::accumulate(u.begin(), u.end(),
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D::result_type(0)) / u.size();
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D::result_type var = 0;
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for (int i = 0; i < u.size(); ++i)
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var += sqr(u[i] - mean);
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var /= u.size();
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D::result_type x_mean = 1/p.lambda();
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D::result_type x_var = 1/sqr(p.lambda());
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assert(std::abs(mean - x_mean) / x_mean < 0.01);
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assert(std::abs(var - x_var) / x_var < 0.01);
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}
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class exponential_distribution
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// param_type param() const;
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#include <random>
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#include <cassert>
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int main()
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{
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{
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typedef std::exponential_distribution<> D;
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typedef D::param_type P;
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P p(.125);
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D d(p);
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assert(d.param() == p);
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}
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}
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@ -0,0 +1,41 @@
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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||||
//
|
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
|
||||
// template <class CharT, class Traits, class RealType>
|
||||
// basic_ostream<CharT, Traits>&
|
||||
// operator<<(basic_ostream<CharT, Traits>& os,
|
||||
// const exponential_distribution<RealType>& x);
|
||||
|
||||
// template <class CharT, class Traits, class RealType>
|
||||
// basic_istream<CharT, Traits>&
|
||||
// operator>>(basic_istream<CharT, Traits>& is,
|
||||
// exponential_distribution<RealType>& x);
|
||||
|
||||
#include <random>
|
||||
#include <sstream>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
D d1(7);
|
||||
std::ostringstream os;
|
||||
os << d1;
|
||||
std::istringstream is(os.str());
|
||||
D d2;
|
||||
is >> d2;
|
||||
assert(d1 == d2);
|
||||
}
|
||||
}
|
@ -0,0 +1,28 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
|
||||
// result_type max() const;
|
||||
|
||||
#include <random>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
D d(.25);
|
||||
D::result_type m = d.max();
|
||||
assert(146 < m && m < 147);
|
||||
}
|
||||
}
|
@ -0,0 +1,27 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
|
||||
// result_type min() const;
|
||||
|
||||
#include <random>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
D d(.5);
|
||||
assert(d.min() == 0);
|
||||
}
|
||||
}
|
@ -0,0 +1,31 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
// {
|
||||
// class param_type;
|
||||
|
||||
#include <random>
|
||||
#include <limits>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type param_type;
|
||||
param_type p0(.7);
|
||||
param_type p;
|
||||
p = p0;
|
||||
assert(p.lambda() == .7);
|
||||
}
|
||||
}
|
@ -0,0 +1,30 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
// {
|
||||
// class param_type;
|
||||
|
||||
#include <random>
|
||||
#include <limits>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type param_type;
|
||||
param_type p0(.125);
|
||||
param_type p = p0;
|
||||
assert(p.lambda() == .125);
|
||||
}
|
||||
}
|
@ -0,0 +1,35 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
// {
|
||||
// class param_type;
|
||||
|
||||
#include <random>
|
||||
#include <limits>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type param_type;
|
||||
param_type p;
|
||||
assert(p.lambda() == 1);
|
||||
}
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type param_type;
|
||||
param_type p(10);
|
||||
assert(p.lambda() == 10);
|
||||
}
|
||||
}
|
@ -0,0 +1,37 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
// {
|
||||
// class param_type;
|
||||
|
||||
#include <random>
|
||||
#include <limits>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type param_type;
|
||||
param_type p1(0.75);
|
||||
param_type p2(0.75);
|
||||
assert(p1 == p2);
|
||||
}
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type param_type;
|
||||
param_type p1(0.75);
|
||||
param_type p2(0.5);
|
||||
assert(p1 != p2);
|
||||
}
|
||||
}
|
@ -0,0 +1,28 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
// {
|
||||
// class param_type;
|
||||
|
||||
#include <random>
|
||||
#include <type_traits>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type param_type;
|
||||
typedef param_type::distribution_type distribution_type;
|
||||
static_assert((std::is_same<D, distribution_type>::value), "");
|
||||
}
|
||||
}
|
@ -0,0 +1,30 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution;
|
||||
|
||||
// void param(const param_type& parm);
|
||||
|
||||
#include <random>
|
||||
#include <cassert>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::param_type P;
|
||||
P p(0.25);
|
||||
D d(0.75);
|
||||
d.param(p);
|
||||
assert(d.param() == p);
|
||||
}
|
||||
}
|
@ -0,0 +1,34 @@
|
||||
//===----------------------------------------------------------------------===//
|
||||
//
|
||||
// The LLVM Compiler Infrastructure
|
||||
//
|
||||
// This file is distributed under the University of Illinois Open Source
|
||||
// License. See LICENSE.TXT for details.
|
||||
//
|
||||
//===----------------------------------------------------------------------===//
|
||||
|
||||
// <random>
|
||||
|
||||
// template<class RealType = double>
|
||||
// class exponential_distribution
|
||||
// {
|
||||
// public:
|
||||
// // types
|
||||
// typedef RealType result_type;
|
||||
|
||||
#include <random>
|
||||
#include <type_traits>
|
||||
|
||||
int main()
|
||||
{
|
||||
{
|
||||
typedef std::exponential_distribution<> D;
|
||||
typedef D::result_type result_type;
|
||||
static_assert((std::is_same<result_type, double>::value), "");
|
||||
}
|
||||
{
|
||||
typedef std::exponential_distribution<float> D;
|
||||
typedef D::result_type result_type;
|
||||
static_assert((std::is_same<result_type, float>::value), "");
|
||||
}
|
||||
}
|
Loading…
x
Reference in New Issue
Block a user