221 lines
		
	
	
		
			7.0 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			221 lines
		
	
	
		
			7.0 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /* boost random/negative_binomial_distribution.hpp header file
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|  *
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|  * Copyright Steven Watanabe 2010
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|  * Distributed under the Boost Software License, Version 1.0. (See
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|  * accompanying file LICENSE_1_0.txt or copy at
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|  * http://www.boost.org/LICENSE_1_0.txt)
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|  *
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|  * See http://www.boost.org for most recent version including documentation.
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|  *
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|  * $Id$
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|  */
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| 
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| #ifndef BOOST_RANDOM_NEGATIVE_BINOMIAL_DISTRIBUTION_HPP_INCLUDED
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| #define BOOST_RANDOM_NEGATIVE_BINOMIAL_DISTRIBUTION_HPP_INCLUDED
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| 
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| #include <iosfwd>
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| 
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| #include <boost/limits.hpp>
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| #include <boost/random/detail/config.hpp>
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| #include <boost/random/gamma_distribution.hpp>
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| #include <boost/random/poisson_distribution.hpp>
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| 
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| namespace boost {
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| namespace random {
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| 
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| /**
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|  * The negative binomial distribution is an integer valued
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|  * distribution with two parameters, @c k and @c p.  The
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|  * distribution produces non-negative values.
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|  *
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|  * The distribution function is
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|  * \f$\displaystyle P(i) = {k+i-1\choose i}p^k(1-p)^i\f$.
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|  *
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|  * This implementation uses a gamma-poisson mixture.
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|  */
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| template<class IntType = int, class RealType = double>
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| class negative_binomial_distribution {
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| public:
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|     typedef IntType result_type;
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|     typedef RealType input_type;
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| 
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|     class param_type {
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|     public:
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|         typedef negative_binomial_distribution distribution_type;
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|         /**
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|          * Construct a param_type object.  @c k and @c p
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|          * are the parameters of the distribution.
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|          *
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|          * Requires: k >=0 && 0 <= p <= 1
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|          */
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|         explicit param_type(IntType k_arg = 1, RealType p_arg = RealType (0.5))
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|           : _k(k_arg), _p(p_arg)
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|         {}
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|         /** Returns the @c k parameter of the distribution. */
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|         IntType k() const { return _k; }
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|         /** Returns the @c p parameter of the distribution. */
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|         RealType p() const { return _p; }
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| #ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
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|         /** Writes the parameters of the distribution to a @c std::ostream. */
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|         template<class CharT, class Traits>
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|         friend std::basic_ostream<CharT,Traits>&
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|         operator<<(std::basic_ostream<CharT,Traits>& os,
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|                    const param_type& parm)
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|         {
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|             os << parm._p << " " << parm._k;
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|             return os;
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|         }
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|     
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|         /** Reads the parameters of the distribution from a @c std::istream. */
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|         template<class CharT, class Traits>
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|         friend std::basic_istream<CharT,Traits>&
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|         operator>>(std::basic_istream<CharT,Traits>& is, param_type& parm)
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|         {
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|             is >> parm._p >> std::ws >> parm._k;
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|             return is;
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|         }
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| #endif
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|         /** Returns true if the parameters have the same values. */
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|         friend bool operator==(const param_type& lhs, const param_type& rhs)
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|         {
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|             return lhs._k == rhs._k && lhs._p == rhs._p;
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|         }
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|         /** Returns true if the parameters have different values. */
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|         friend bool operator!=(const param_type& lhs, const param_type& rhs)
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|         {
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|             return !(lhs == rhs);
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|         }
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|     private:
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|         IntType _k;
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|         RealType _p;
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|     };
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|     
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|     /**
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|      * Construct a @c negative_binomial_distribution object. @c k and @c p
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|      * are the parameters of the distribution.
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|      *
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|      * Requires: k >=0 && 0 <= p <= 1
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|      */
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|     explicit negative_binomial_distribution(IntType k_arg = 1,
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|                                             RealType p_arg = RealType(0.5))
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|       : _k(k_arg), _p(p_arg)
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|     {}
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|     
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|     /**
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|      * Construct an @c negative_binomial_distribution object from the
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|      * parameters.
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|      */
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|     explicit negative_binomial_distribution(const param_type& parm)
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|       : _k(parm.k()), _p(parm.p())
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|     {}
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|     
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|     /**
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|      * Returns a random variate distributed according to the
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|      * negative binomial distribution.
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|      */
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|     template<class URNG>
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|     IntType operator()(URNG& urng) const
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|     {
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|         gamma_distribution<RealType> gamma(_k, (1-_p)/_p);
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|         poisson_distribution<IntType, RealType> poisson(gamma(urng));
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|         return poisson(urng);
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|     }
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|     
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|     /**
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|      * Returns a random variate distributed according to the negative
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|      * binomial distribution with parameters specified by @c param.
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|      */
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|     template<class URNG>
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|     IntType operator()(URNG& urng, const param_type& parm) const
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|     {
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|         return negative_binomial_distribution(parm)(urng);
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|     }
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| 
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|     /** Returns the @c k parameter of the distribution. */
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|     IntType k() const { return _k; }
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|     /** Returns the @c p parameter of the distribution. */
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|     RealType p() const { return _p; }
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| 
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|     /** Returns the smallest value that the distribution can produce. */
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|     IntType min BOOST_PREVENT_MACRO_SUBSTITUTION() const { return 0; }
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|     /** Returns the largest value that the distribution can produce. */
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|     IntType max BOOST_PREVENT_MACRO_SUBSTITUTION() const
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|     { return (std::numeric_limits<IntType>::max)(); }
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| 
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|     /** Returns the parameters of the distribution. */
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|     param_type param() const { return param_type(_k, _p); }
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|     /** Sets parameters of the distribution. */
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|     void param(const param_type& parm)
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|     {
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|         _k = parm.k();
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|         _p = parm.p();
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|     }
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| 
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|     /**
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|      * Effects: Subsequent uses of the distribution do not depend
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|      * on values produced by any engine prior to invoking reset.
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|      */
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|     void reset() { }
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| 
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| #ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
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|     /** Writes the parameters of the distribution to a @c std::ostream. */
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|     template<class CharT, class Traits>
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|     friend std::basic_ostream<CharT,Traits>&
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|     operator<<(std::basic_ostream<CharT,Traits>& os,
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|                const negative_binomial_distribution& bd)
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|     {
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|         os << bd.param();
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|         return os;
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|     }
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|     
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|     /** Reads the parameters of the distribution from a @c std::istream. */
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|     template<class CharT, class Traits>
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|     friend std::basic_istream<CharT,Traits>&
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|     operator>>(std::basic_istream<CharT,Traits>& is,
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|                negative_binomial_distribution& bd)
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|     {
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|         bd.read(is);
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|         return is;
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|     }
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| #endif
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| 
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|     /** Returns true if the two distributions will produce the same
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|         sequence of values, given equal generators. */
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|     friend bool operator==(const negative_binomial_distribution& lhs,
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|                            const negative_binomial_distribution& rhs)
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|     {
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|         return lhs._k == rhs._k && lhs._p == rhs._p;
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|     }
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|     /** Returns true if the two distributions could produce different
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|         sequences of values, given equal generators. */
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|     friend bool operator!=(const negative_binomial_distribution& lhs,
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|                            const negative_binomial_distribution& rhs)
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|     {
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|         return !(lhs == rhs);
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|     }
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| 
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| private:
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| 
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|     /// @cond \show_private
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| 
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|     template<class CharT, class Traits>
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|     void read(std::basic_istream<CharT, Traits>& is) {
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|         param_type parm;
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|         if(is >> parm) {
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|             param(parm);
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|         }
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|     }
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| 
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|     // parameters
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|     IntType _k;
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|     RealType _p;
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| 
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|     /// @endcond
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| };
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| 
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| }
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| 
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| }
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| 
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| #endif
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