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authorStephan Hoyer <shoyer@google.com>2019-01-22 14:07:47 -0800
committerStephan Hoyer <shoyer@google.com>2019-01-22 14:13:39 -0800
commit96d179ce5bd0e3f75508f6afdfb2fb65170cc83c (patch)
treeeda5cca68be758029c47c10252d7a59189935c3f /numpy/testing/tests/test_utils.py
parent3cbc11ac56054ad3ac7461e57433aefe37f2e3e4 (diff)
downloadnumpy-96d179ce5bd0e3f75508f6afdfb2fb65170cc83c.tar.gz
ENH: __array_function__ updates for NumPy 1.17.0
- Always enable __array_function__ overrides. - Remove special cases for Python 2 compatibility. - Document these changes in 1.17.0-notes.rst. It will be good to see ASV numbers to understand the performance implications of these changes. If need be, we can speed up NumPy functions internally by using non-dispatched functions (with ``.__wrapped__``).
Diffstat (limited to 'numpy/testing/tests/test_utils.py')
-rw-r--r--numpy/testing/tests/test_utils.py5
1 files changed, 2 insertions, 3 deletions
diff --git a/numpy/testing/tests/test_utils.py b/numpy/testing/tests/test_utils.py
index c376a3852..9081f3d6e 100644
--- a/numpy/testing/tests/test_utils.py
+++ b/numpy/testing/tests/test_utils.py
@@ -186,9 +186,8 @@ class TestArrayEqual(_GenericTest):
a = np.array([1., 2.]).view(MyArray)
b = np.array([2., 3.]).view(MyArray)
- if np.core.overrides.ENABLE_ARRAY_FUNCTION:
- with assert_raises(TypeError):
- np.all(a)
+ with assert_raises(TypeError):
+ np.all(a)
self._test_equal(a, a)
self._test_not_equal(a, b)
self._test_not_equal(b, a)