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| author | Miss Islington (bot) <31488909+miss-islington@users.noreply.github.com> | 2018-06-27 01:53:04 -0700 |
|---|---|---|
| committer | Raymond Hettinger <rhettinger@users.noreply.github.com> | 2018-06-27 01:53:04 -0700 |
| commit | 0eaf7b975bd61169a8d78945d2d12f23299f61a8 (patch) | |
| tree | 077033a1de8f40d42433fd0b2af1f8d8eabe0cd5 | |
| parent | ca97b64a653a1644090a75eeae4a04d2f3799436 (diff) | |
| download | cpython-git-0eaf7b975bd61169a8d78945d2d12f23299f61a8.tar.gz | |
bpo-24567: Random subnormal.diff (GH-7954) (GH-7955)
Handle subnormal weights for choices()
(cherry picked from commit ddf7171911e117aa7ad4b0f9ded4f0c3a4ca0fec)
Co-authored-by: Raymond Hettinger <rhettinger@users.noreply.github.com>
| -rw-r--r-- | Lib/random.py | 4 | ||||
| -rw-r--r-- | Lib/test/test_random.py | 8 | ||||
| -rw-r--r-- | Misc/NEWS.d/next/Library/2018-06-27-00-31-30.bpo-24567.FuePyY.rst | 2 |
3 files changed, 13 insertions, 1 deletions
diff --git a/Lib/random.py b/Lib/random.py index 0bc24174e1..8e94064c9c 100644 --- a/Lib/random.py +++ b/Lib/random.py @@ -361,7 +361,9 @@ class Random(_random.Random): raise ValueError('The number of weights does not match the population') bisect = _bisect.bisect total = cum_weights[-1] - return [population[bisect(cum_weights, random() * total)] for i in range(k)] + hi = len(cum_weights) - 1 + return [population[bisect(cum_weights, random() * total, 0, hi)] + for i in range(k)] ## -------------------- real-valued distributions ------------------- diff --git a/Lib/test/test_random.py b/Lib/test/test_random.py index eee245df48..cbf3e41b94 100644 --- a/Lib/test/test_random.py +++ b/Lib/test/test_random.py @@ -227,6 +227,14 @@ class TestBasicOps: with self.assertRaises(IndexError): choices([], cum_weights=[], k=5) + def test_choices_subnormal(self): + # Subnormal weights would occassionally trigger an IndexError + # in choices() when the value returned by random() was large + # enough to make `random() * total` round up to the total. + # See https://bugs.python.org/msg275594 for more detail. + choices = self.gen.choices + choices(population=[1, 2], weights=[1e-323, 1e-323], k=5000) + def test_gauss(self): # Ensure that the seed() method initializes all the hidden state. In # particular, through 2.2.1 it failed to reset a piece of state used diff --git a/Misc/NEWS.d/next/Library/2018-06-27-00-31-30.bpo-24567.FuePyY.rst b/Misc/NEWS.d/next/Library/2018-06-27-00-31-30.bpo-24567.FuePyY.rst new file mode 100644 index 0000000000..d496f2bc41 --- /dev/null +++ b/Misc/NEWS.d/next/Library/2018-06-27-00-31-30.bpo-24567.FuePyY.rst @@ -0,0 +1,2 @@ +Improve random.choices() to handle subnormal input weights that could +occasionally trigger an IndexError. |
