mirror of https://github.com/python/cpython
Convert range to repeat for choices() (#11889)
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@ -43,7 +43,7 @@ from math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin
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from os import urandom as _urandom
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from os import urandom as _urandom
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from _collections_abc import Set as _Set, Sequence as _Sequence
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from _collections_abc import Set as _Set, Sequence as _Sequence
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from hashlib import sha512 as _sha512
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from hashlib import sha512 as _sha512
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from itertools import accumulate as _accumulate
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from itertools import accumulate as _accumulate, repeat as _repeat
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from bisect import bisect as _bisect
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from bisect import bisect as _bisect
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import os as _os
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import os as _os
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@ -389,7 +389,7 @@ class Random(_random.Random):
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if weights is None:
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if weights is None:
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_int = int
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_int = int
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n += 0.0 # convert to float for a small speed improvement
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n += 0.0 # convert to float for a small speed improvement
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return [population[_int(random() * n)] for i in range(k)]
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return [population[_int(random() * n)] for i in _repeat(None, k)]
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cum_weights = list(_accumulate(weights))
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cum_weights = list(_accumulate(weights))
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elif weights is not None:
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elif weights is not None:
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raise TypeError('Cannot specify both weights and cumulative weights')
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raise TypeError('Cannot specify both weights and cumulative weights')
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@ -399,7 +399,7 @@ class Random(_random.Random):
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total = cum_weights[-1] + 0.0 # convert to float
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total = cum_weights[-1] + 0.0 # convert to float
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hi = n - 1
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hi = n - 1
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return [population[bisect(cum_weights, random() * total, 0, hi)]
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return [population[bisect(cum_weights, random() * total, 0, hi)]
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for i in range(k)]
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for i in _repeat(None, k)]
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## -------------------- real-valued distributions -------------------
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## -------------------- real-valued distributions -------------------
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