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# std::generate_canonical

From cppreference.com
< cpp‎ | numeric‎ | random

template< class RealType, size_t bits, class Generator > RealType generate_canonical( Generator& g ); |  | (since C++11)

Generates a random floating point number in range [0; 1).

To generate enough entropy, calls g() exactly k times, where k = max(1, ⌈ b / log
2 R ⌉) and

- b = std::min<std::size_t>(bits, std::numeric_limits<RealType>::digits)
- R = g.max() - g.min() + 1.

### [edit] Parameters

g | - | generator to use to acquire entropy

### [edit] Return value

Floating point value in range [0; 1).

### [edit] Exceptions

None except from those thrown by `g`

### [edit] Example

produce random numbers with 10 bits of randomness: this may produce only k*R distinct values

Run this code

    #include <random>
    #include <iostream>

    int main()
    {
        std::random_device rd;
        std::mt19937 gen(rd());
        for(int n=0; n<10; ++n) {
            std::cout << std::generate_canonical<double, 10>(gen) << ' ';
        }
    }

Output:

    0.208143 0.824147 0.0278604 0.343183 0.0173263 0.864057 0.647037 0.539467 0.0583497 0.609219

### [edit] See also

uniform_real_distribution (C++11) | produces real values evenly distributed across a range (class template) [edit]

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