"""
random = self.random
+ n = len(population)
if cum_weights is None:
if weights is None:
_int = int
- total = len(population)
- return [population[_int(random() * total)] for i in range(k)]
+ return [population[_int(random() * n)] for i in range(k)]
cum_weights = list(_itertools.accumulate(weights))
elif weights is not None:
raise TypeError('Cannot specify both weights and cumulative weights')
- if len(cum_weights) != len(population):
+ if len(cum_weights) != n:
raise ValueError('The number of weights does not match the population')
bisect = _bisect.bisect
total = cum_weights[-1]
- hi = len(cum_weights) - 1
+ hi = n - 1
return [population[bisect(cum_weights, random() * total, 0, hi)]
for i in range(k)]