std::discrete_distribution::discrete_distribution
|   discrete_distribution();  | 
(1) | (since C++11) | 
|   template< class InputIt > discrete_distribution( InputIt first, InputIt last );  | 
(2) | (since C++11) | 
|   discrete_distribution( std::initializer_list<double> weights );  | 
(3) | (since C++11) | 
|   template< class UnaryOperation > discrete_distribution( std::size_t count, double xmin, double xmax,  | 
(4) | (since C++11) | 
|   explicit discrete_distribution( const param_type& params );  | 
(2) | (since C++11) | 
Constructs a new distribution object.
1) Default constructor. Constructs the distribution with weights . This distribution will always generate 0.
2) Constructs the distribution with weights in the range [first, last). If first == last, the effects are the same as of the default constructor.
3) Constructs the distribution with weights in weights. Effectively calls initializer_list(weigths.begin(), weights.end()).
count weights that are generated using function unary_op. Each of the weights is equal to wi = unary_op(xmin + δ/2 + i · δ), where δ =
| (xmax − xmin) | 
| count | 
xmin and xmax must be such that δ > 0. If count == 0 the effects are the same as of the default constructor.
5) Constructs the distribution with params as the distribution parameters.
[edit] Parameters
| first, last | - |   the range of elements defining the numbers to use as weights. The type of the elements referred by InputIterator must be convertible to double
 | 
| weights | - | initializer list containing the weights | 
| unary_op | - |   unary operation function object that will be applied.  The signature of the function should be equivalent to the following: Ret fun(const Type &a); The signature does not need to have const &.   | 
| params | - | the distribution parameter set | 
| Type requirements | ||
 -InputIt must meet the requirements of InputIterator.
 | ||