bpo-40465: Remove random module features deprecated in 3.9 (GH-25874)

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Raymond Hettinger 2021-05-04 01:55:40 -07:00 committed by GitHub
parent 87109f4d85
commit 70a071d9e1
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4 changed files with 25 additions and 64 deletions

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@ -86,8 +86,8 @@ Bookkeeping functions
.. versionchanged:: 3.2
Moved to the version 2 scheme which uses all of the bits in a string seed.
.. deprecated:: 3.9
In the future, the *seed* must be one of the following types:
.. versionchanged:: 3.11
The *seed* must be one of the following types:
*NoneType*, :class:`int`, :class:`float`, :class:`str`,
:class:`bytes`, or :class:`bytearray`.
@ -208,13 +208,10 @@ Functions for sequences
Raises a :exc:`ValueError` if all weights are zero.
.. function:: shuffle(x[, random])
.. function:: shuffle(x)
Shuffle the sequence *x* in place.
The optional argument *random* is a 0-argument function returning a random
float in [0.0, 1.0); by default, this is the function :func:`.random`.
To shuffle an immutable sequence and return a new shuffled list, use
``sample(x, k=len(x))`` instead.
@ -230,8 +227,8 @@ Functions for sequences
.. function:: sample(population, k, *, counts=None)
Return a *k* length list of unique elements chosen from the population sequence
or set. Used for random sampling without replacement.
Return a *k* length list of unique elements chosen from the population
sequence. Used for random sampling without replacement.
Returns a new list containing elements from the population while leaving the
original population unchanged. The resulting list is in selection order so that
@ -257,11 +254,10 @@ Functions for sequences
.. versionchanged:: 3.9
Added the *counts* parameter.
.. deprecated:: 3.9
In the future, the *population* must be a sequence. Instances of
:class:`set` are no longer supported. The set must first be converted
to a :class:`list` or :class:`tuple`, preferably in a deterministic
order so that the sample is reproducible.
.. versionchanged:: 3.11
The *population* must be a sequence. Automatic conversion of sets
to lists is longer supported.
.. _real-valued-distributions:

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@ -157,12 +157,8 @@ def seed(self, a=None, version=2):
a = int.from_bytes(a + _sha512(a).digest(), 'big')
elif not isinstance(a, (type(None), int, float, str, bytes, bytearray)):
_warn('Seeding based on hashing is deprecated\n'
'since Python 3.9 and will be removed in a subsequent '
'version. The only \n'
'supported seed types are: None, '
'int, float, str, bytes, and bytearray.',
DeprecationWarning, 2)
raise TypeError('The only supported seed types are: None,\n'
'int, float, str, bytes, and bytearray.')
super().seed(a)
self.gauss_next = None
@ -377,34 +373,17 @@ def choice(self, seq):
# raises IndexError if seq is empty
return seq[self._randbelow(len(seq))]
def shuffle(self, x, random=None):
"""Shuffle list x in place, and return None.
def shuffle(self, x):
"""Shuffle list x in place, and return None."""
Optional argument random is a 0-argument function returning a
random float in [0.0, 1.0); if it is the default None, the
standard random.random will be used.
"""
if random is None:
randbelow = self._randbelow
for i in reversed(range(1, len(x))):
# pick an element in x[:i+1] with which to exchange x[i]
j = randbelow(i + 1)
x[i], x[j] = x[j], x[i]
else:
_warn('The *random* parameter to shuffle() has been deprecated\n'
'since Python 3.9 and will be removed in a subsequent '
'version.',
DeprecationWarning, 2)
floor = _floor
for i in reversed(range(1, len(x))):
# pick an element in x[:i+1] with which to exchange x[i]
j = floor(random() * (i + 1))
x[i], x[j] = x[j], x[i]
randbelow = self._randbelow
for i in reversed(range(1, len(x))):
# pick an element in x[:i+1] with which to exchange x[i]
j = randbelow(i + 1)
x[i], x[j] = x[j], x[i]
def sample(self, population, k, *, counts=None):
"""Chooses k unique random elements from a population sequence or set.
"""Chooses k unique random elements from a population sequence.
Returns a new list containing elements from the population while
leaving the original population unchanged. The resulting list is
@ -457,13 +436,8 @@ def sample(self, population, k, *, counts=None):
# causing them to eat more entropy than necessary.
if not isinstance(population, _Sequence):
if isinstance(population, _Set):
_warn('Sampling from a set deprecated\n'
'since Python 3.9 and will be removed in a subsequent version.',
DeprecationWarning, 2)
population = tuple(population)
else:
raise TypeError("Population must be a sequence. For dicts or sets, use sorted(d).")
raise TypeError("Population must be a sequence. "
"For dicts or sets, use sorted(d).")
n = len(population)
if counts is not None:
cum_counts = list(_accumulate(counts))

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@ -48,12 +48,11 @@ def __hash__(self):
self.gen.seed(arg)
for arg in [1+2j, tuple('abc'), MySeed()]:
with self.assertWarns(DeprecationWarning):
with self.assertRaises(TypeError):
self.gen.seed(arg)
for arg in [list(range(3)), dict(one=1)]:
with self.assertWarns(DeprecationWarning):
self.assertRaises(TypeError, self.gen.seed, arg)
self.assertRaises(TypeError, self.gen.seed, arg)
self.assertRaises(TypeError, self.gen.seed, 1, 2, 3, 4)
self.assertRaises(TypeError, type(self.gen), [])
@ -105,15 +104,6 @@ def test_shuffle(self):
self.assertTrue(lst != shuffled_lst)
self.assertRaises(TypeError, shuffle, (1, 2, 3))
def test_shuffle_random_argument(self):
# Test random argument to shuffle.
shuffle = self.gen.shuffle
mock_random = unittest.mock.Mock(return_value=0.5)
seq = bytearray(b'abcdefghijk')
with self.assertWarns(DeprecationWarning):
shuffle(seq, mock_random)
mock_random.assert_called_with()
def test_choice(self):
choice = self.gen.choice
with self.assertRaises(IndexError):
@ -164,7 +154,7 @@ def test_sample_on_dicts(self):
self.assertRaises(TypeError, self.gen.sample, dict.fromkeys('abcdef'), 2)
def test_sample_on_sets(self):
with self.assertWarns(DeprecationWarning):
with self.assertRaises(TypeError):
population = {10, 20, 30, 40, 50, 60, 70}
self.gen.sample(population, k=5)

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@ -0,0 +1 @@
Remove random module features deprecated in Python 3.9.