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-rw-r--r--numpy/lib/arraysetops.py6
1 files changed, 2 insertions, 4 deletions
diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py
index 8ced2f6d9..8af8c8803 100644
--- a/numpy/lib/arraysetops.py
+++ b/numpy/lib/arraysetops.py
@@ -549,7 +549,6 @@ def in1d(ar1, ar2, assume_unique=False, invert=False, kind=None):
The algorithm to use. This will not affect the final result,
but will affect the speed. Default will select automatically
based on memory considerations.
-
- If 'mergesort', will use a mergesort-based approach. This will have
a memory usage of roughly 6 times the sum of the sizes of
`ar1` and `ar2`, not accounting for size of dtypes.
@@ -565,7 +564,7 @@ def in1d(ar1, ar2, assume_unique=False, invert=False, kind=None):
6 times the sum of the sizes of `ar1` and `ar2`,
otherwise will use 'mergesort'. This is done to not use
a large amount of memory by default, even though
- 'dictionary' may be faster in most cases.
+ 'dictionary' may be faster in most cases.
.. versionadded:: 1.8.0
@@ -763,7 +762,6 @@ def isin(element, test_elements, assume_unique=False, invert=False,
The algorithm to use. This will not affect the final result,
but will affect the speed. Default will select automatically
based on memory considerations.
-
- If 'mergesort', will use a mergesort-based approach. This will have
a memory usage of roughly 6 times the sum of the sizes of
`ar1` and `ar2`, not accounting for size of dtypes.
@@ -779,7 +777,7 @@ def isin(element, test_elements, assume_unique=False, invert=False,
6 times the sum of the sizes of `ar1` and `ar2`,
otherwise will use 'mergesort'. This is done to not use
a large amount of memory by default, even though
- 'dictionary' may be faster in most cases.
+ 'dictionary' may be faster in most cases.
Returns