Defined in header <random> | ||
---|---|---|
template< class RealType, std::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, generate_canonical()
will call g()
exactly \(\small k\)k times, where \(\small k = \max(1, \lceil \frac{b}{\log_2 R} \rceil)\)k = max(1, ⌈ b / log
2 R ⌉) and.
b = std::min(Bits, std::size_t {std::numeric_limits<RealType>::digits})
, R = g.max() - g.min() + 1
. g | - | generator to use to acquire entropy |
Floating point value in range [
0
,
1
)
.
None except from those thrown by g
.
Some existing implementations have a bug where they may occasionally return 1.0
if RealType
is float
GCC #63176 LLVM #18767 MSVC STL #1074. This is LWG issue 2524.
Produce random numbers with 10 bits of randomness: this may produce only k * R distinct values.
#include <iostream> #include <random> 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) << ' '; }
Possible output:
0.208143 0.824147 0.0278604 0.343183 0.0173263 0.864057 0.647037 0.539467 0.0583497 0.609219
(C++11) | produces real values evenly distributed across a range (class template) |
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