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authorMilesCranmer <miles.cranmer@gmail.com>2022-06-09 20:48:45 -0400
committerMilesCranmer <miles.cranmer@gmail.com>2022-06-09 20:48:45 -0400
commit179d1575ebdf850add391db87da6b1f4d3209e3c (patch)
tree83c1bc29e64a5986891df3f00e1d2907d80c1abe /numpy/lib/arraysetops.py
parentafbcdf27cd04128b1f297a9503a4bdfbccbddd28 (diff)
downloadnumpy-179d1575ebdf850add391db87da6b1f4d3209e3c.tar.gz
MAINT: Fix linting errors in in1d tests
Diffstat (limited to 'numpy/lib/arraysetops.py')
-rw-r--r--numpy/lib/arraysetops.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py
index 7597866a4..f0cc2006c 100644
--- a/numpy/lib/arraysetops.py
+++ b/numpy/lib/arraysetops.py
@@ -619,7 +619,8 @@ def in1d(ar1, ar2, assume_unique=False, invert=False, _slow_integer=None):
ar2_range = ar2_max - ar2_min
# Optimal performance is for approximately
- # log10(size) > (log10(range) - 2.27) / 0.927, see discussion on
+ # log10(size) > (log10(range) - 2.27) / 0.927.
+ # See discussion on
# https://github.com/numpy/numpy/pull/12065
optimal_parameters = (
np.log10(ar2_size) >