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author | Eric Wieser <wieser.eric@gmail.com> | 2017-08-01 20:29:36 +0000 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2017-08-05 10:36:48 -0600 |
commit | 2b781f8967488dc007f8f0a1e6a7f49208788d12 (patch) | |
tree | 88ad7478e033ce5980a365a479e22b78ba1cecaa /numpy/lib/arraysetops.py | |
parent | 5ab02b15de72fa00d785f49c62466fe048264cc4 (diff) | |
download | numpy-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.py | 4 |
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 |