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authorEric Wieser <wieser.eric@gmail.com>2017-08-01 20:29:36 +0000
committerCharles Harris <charlesr.harris@gmail.com>2017-08-05 10:36:48 -0600
commit2b781f8967488dc007f8f0a1e6a7f49208788d12 (patch)
tree88ad7478e033ce5980a365a479e22b78ba1cecaa /numpy/lib/arraysetops.py
parent5ab02b15de72fa00d785f49c62466fe048264cc4 (diff)
downloadnumpy-2b781f8967488dc007f8f0a1e6a7f49208788d12.tar.gz
MAINT/DOC: Use builtin when np.{x} is builtins.{x}.
This is the case for x in {int, bool, str, float, complex, object}. Using the np.{x} version is deceptive as it suggests that there is a difference. This change doesn't affect any external behaviour. The `long` type is missing in python 3, so np.long is still useful
Diffstat (limited to 'numpy/lib/arraysetops.py')
-rw-r--r--numpy/lib/arraysetops.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py
index aa3a05e12..ededb9dd0 100644
--- a/numpy/lib/arraysetops.py
+++ b/numpy/lib/arraysetops.py
@@ -451,11 +451,11 @@ def in1d(ar1, ar2, assume_unique=False, invert=False):
# This code is significantly faster when the condition is satisfied.
if len(ar2) < 10 * len(ar1) ** 0.145:
if invert:
- mask = np.ones(len(ar1), dtype=np.bool)
+ mask = np.ones(len(ar1), dtype=bool)
for a in ar2:
mask &= (ar1 != a)
else:
- mask = np.zeros(len(ar1), dtype=np.bool)
+ mask = np.zeros(len(ar1), dtype=bool)
for a in ar2:
mask |= (ar1 == a)
return mask