std::experimental::sample - cppreference.com (original) (raw)
Defined in header <experimental/algorithm> | ||
---|---|---|
template< class PopulationIterator, class SampleIterator, class Distance, class URBG >SampleIterator sample( PopulationIterator first, PopulationIterator last, SampleIterator out, Distance n, URBG&& g ); | (1) | (library fundamentals TS) |
template< class PopulationIterator, class SampleIterator, class Distance > SampleIterator sample( PopulationIterator first, PopulationIterator last, SampleIterator out, Distance n ); | (2) | (library fundamentals TS v2) |
Selects n elements from the sequence [
first,
last)
such that each possible sample has equal probability of appearance, and writes those selected elements into the output iterator out.
If n is greater than the number of elements in the sequence, selects last - first elements.
The algorithm is stable only if PopulationIterator
meets the requirements of LegacyForwardIterator.
- Random numbers are generated using the random number generator g.
[edit] Parameters
first, last | - | pair of iterators forming the range from which to make the sampling (the population) |
---|---|---|
out | - | the output iterator where the samples are written. Must not be in the range [first, last) |
n | - | number of samples to make |
g | - | the random number generator used as the source of randomness |
-PopulationIterator must meet the requirements of LegacyInputIterator. | ||
-SampleIterator must meet the requirements of LegacyOutputIterator. | ||
-SampleIterator must also meet the requirements of LegacyRandomAccessIterator if PopulationIterator doesn't meet LegacyForwardIterator. | ||
-PopulationIterator's value type must be writeable to out. | ||
-Distance must be an integer type. | ||
-URBG must meet the requirements of UniformRandomBitGenerator and its return type must be convertible to Distance. |
[edit] Return value
Returns a copy of out after the last sample that was output, that is, end of the sample range.
[edit] Complexity
Linear in std::distance(first, last).
[edit] Notes
This function may implement selection sampling or reservoir sampling.
[edit] Example
#include <experimental/algorithm> #include #include #include #include int main() { std::string in = "abcdefgh", out; std::experimental::sample(in.begin(), in.end(), std::back_inserter(out), 5, std::mt19937{std::random_device{}()}); std::cout << "five random letters out of " << in << " : " << out << '\n'; }
Possible output:
five random letters out of abcdefgh : cdefg