mirror of https://github.com/python/cpython
gh-111881: Import _sha2 lazily in random (#111889)
The random module now imports the _sha2 module lazily in the Random.seed() method for str, bytes and bytearray seeds. It also imports lazily the warnings module in the _randbelow() method for classes without getrandbits(). Lazy import makes Python startup faster and reduces the number of imported modules at startup.
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@ -50,7 +50,6 @@ General notes on the underlying Mersenne Twister core generator:
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# Adrian Baddeley. Adapted by Raymond Hettinger for use with
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# the Mersenne Twister and os.urandom() core generators.
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from warnings import warn as _warn
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from math import log as _log, exp as _exp, pi as _pi, e as _e, ceil as _ceil
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from math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin
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from math import tau as TWOPI, floor as _floor, isfinite as _isfinite
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@ -63,13 +62,6 @@ from bisect import bisect as _bisect
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import os as _os
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import _random
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try:
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# hashlib is pretty heavy to load, try lean internal module first
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from _sha2 import sha512 as _sha512
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except ImportError:
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# fallback to official implementation
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from hashlib import sha512 as _sha512
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__all__ = [
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"Random",
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"SystemRandom",
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@ -105,6 +97,7 @@ SG_MAGICCONST = 1.0 + _log(4.5)
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BPF = 53 # Number of bits in a float
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RECIP_BPF = 2 ** -BPF
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_ONE = 1
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_sha512 = None
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class Random(_random.Random):
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@ -159,6 +152,16 @@ class Random(_random.Random):
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a = -2 if x == -1 else x
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elif version == 2 and isinstance(a, (str, bytes, bytearray)):
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global _sha512
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if _sha512 is None:
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try:
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# hashlib is pretty heavy to load, try lean internal
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# module first
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from _sha2 import sha512 as _sha512
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except ImportError:
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# fallback to official implementation
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from hashlib import sha512 as _sha512
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if isinstance(a, str):
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a = a.encode()
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a = int.from_bytes(a + _sha512(a).digest())
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@ -257,9 +260,10 @@ class Random(_random.Random):
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random = self.random
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if n >= maxsize:
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_warn("Underlying random() generator does not supply \n"
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"enough bits to choose from a population range this large.\n"
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"To remove the range limitation, add a getrandbits() method.")
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from warnings import warn
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warn("Underlying random() generator does not supply \n"
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"enough bits to choose from a population range this large.\n"
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"To remove the range limitation, add a getrandbits() method.")
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return _floor(random() * n)
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rem = maxsize % n
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limit = (maxsize - rem) / maxsize # int(limit * maxsize) % n == 0
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