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author | Raymond Hettinger <rhettinger@users.noreply.github.com> | 2022-07-11 03:34:53 (GMT) |
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committer | GitHub <noreply@github.com> | 2022-07-11 03:34:53 (GMT) |
commit | c9118afd045a64ca22d4a8cc5d43532607083b2d (patch) | |
tree | f5193c6d8163efd415f63f78326f0fc67976a758 /Lib/statistics.py | |
parent | e8e4b550f50e716c57cc5d0225042ab766c5582d (diff) | |
download | cpython-c9118afd045a64ca22d4a8cc5d43532607083b2d.zip cpython-c9118afd045a64ca22d4a8cc5d43532607083b2d.tar.gz cpython-c9118afd045a64ca22d4a8cc5d43532607083b2d.tar.bz2 |
Small speed-up for NormalDist.samples (GH-94730)
Diffstat (limited to 'Lib/statistics.py')
-rw-r--r-- | Lib/statistics.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/Lib/statistics.py b/Lib/statistics.py index 2d66b05..a2793d9 100644 --- a/Lib/statistics.py +++ b/Lib/statistics.py @@ -1193,7 +1193,7 @@ class NormalDist: "Generate *n* samples for a given mean and standard deviation." gauss = random.gauss if seed is None else random.Random(seed).gauss mu, sigma = self._mu, self._sigma - return [gauss(mu, sigma) for i in range(n)] + return [gauss(mu, sigma) for _ in repeat(None, n)] def pdf(self, x): "Probability density function. P(x <= X < x+dx) / dx" |