# std::uniform_real_distribution

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< cpp‎ | numeric‎ | random

Defined in header `<random>` |  |
template< class RealType = double > class uniform_real_distribution; |  | (since C++11)

Produces random floating-point values i, uniformly distributed on the interval `[a, b)`, that is, distributed according to the probability function:

  P(i|a,b) =

  1
  b − a

  .

`std::uniform_real_distribution` satisfies all requirements of `RandomNumberDistribution`

### Template parameters

RealType | - | The result type generated by the generator. The effect is undefined if this is not one of float, double, or long double.

### Member types

Member type | Definition
`result_type` | RealType
`param_type` | the type of the parameter set, see `RandomNumberDistribution`.

### Member functions

(constructor) | constructs new distribution (public member function)
reset | resets the internal state of the distribution (public member function)

##### Generation

operator() | generates the next random number in the distribution (public member function)

##### Characteristics

a b | returns the distribution parameters (public member function)
param | gets or sets the distribution parameter object (public member function)
min | returns the minimum potentially generated value (public member function)
max | returns the maximum potentially generated value (public member function)

### Non-member functions

operator==operator!= | compares two distribution objects (function)
operator<<operator>> | performs stream input and output on pseudo-random number distribution (function template)

### Notes

Some existing implementations have a bug where they may occasionally return b if `RealType` is float GCC #63176 LLVM #18767. This is caused by LWG issue 2524

### Example

print 10 random numbers between 1 and 2

Run this code

    #include <random>
    #include <iostream>

    int main()
    {
        std::random_device rd;  //Will be used to obtain a seed for the random number engine
        std::mt19937 gen(rd()); //Standard mersenne_twister_engine seeded with rd()
        std::uniform_real_distribution<> dis(1, 2);
        for (int n = 0; n < 10; ++n) {
            //Use dis to transform the random unsigned int generated by gen into a double in [1, 2)
            std::cout << dis(gen) << ' '; //Each call to dis(gen) generates a new random double
        }
        std::cout << '\n';
    }

Possible output:

    1.80829 1.15391 1.18483 1.38969 1.36094 1.0648 1.97798 1.27984 1.68261 1.57326

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