class template
<random>
std::uniform_int_distribution
template <class IntType = int> class uniform_int_distribution;
Uniform discrete distribution
Random number distribution that produces integer values according to a uniform discrete distribution, which is described by the following probability mass function:
This distribution produces random integers in a range [a,b] where each possible value has an equal likelihood of being produced. This is the distribution function that appears on many trivial random processes (like the result of rolling a die).
The distribution parameters, a and b, are set on construction.
To produce a random value following this distribution, call its member function operator().
For a discrete distribution that can have different probabilities for each possible value, see discrete_distribution.
Template parameters
- IntType
- An integer type. Aliased as member type result_type.
By default, this is int.
Member types
The following aliases are member types of uniform_int_distribution:
member type | definition | notes |
result_type | The first template parameter (IntType) | The type of the numbers generated (defaults to int) |
param_type | not specified | The type returned by member param. |
Member functions
- (constructor)
- Construct uniform discrete distribution (public member function)
- operator()
- Generate random number (public member function)
- reset
- Reset distribution (public member function)
- param
- Distribution parameters (public member function)
- min
- Minimum value (public member function)
- max
- Maximum value (public member function)
Distribution parameters:
- a
- Lower bound of range (public member function)
- b
- Upper bound of range (public member function)
Non-member functions
- operator<<
- Insert into output stream (function template)
- operator>>
- Extract from input stream (function template)
- relational operators
- Relational operators (function template)
Example
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| // uniform_int_distribution #include <iostream> #include <random> int main() { const int nrolls = 10000; // number of experiments const int nstars = 95; // maximum number of stars to distribute std::default_random_engine generator; std::uniform_int_distribution<int> distribution(0,9); int p[10]={}; for (int i=0; i<nrolls; ++i) { int number = distribution(generator); ++p[number]; } std::cout << "uniform_int_distribution (0,9):" << std::endl; for (int i=0; i<10; ++i) std::cout << i << ": " << std::string(p[i]*nstars/nrolls,'*') << std::endl; return 0; }
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Possible output:
uniform_int_distribution (0,9): 0: ********* 1: ********* 2: ********* 3: ********* 4: ********* 5: ********* 6: ********* 7: ********* 8: ********* 9: ********* |