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authorEric Wieser <wieser.eric@gmail.com>2017-03-26 10:38:28 +0100
committerEric Wieser <wieser.eric@gmail.com>2017-03-28 20:44:42 +0100
commitefa1bd2c0de6cd9c07b410002f2e1c0bae8cf385 (patch)
tree7506958775539df3cca2df402a4eebb9df65bb38 /numpy/lib/tests/test_function_base.py
parentcd01f01e9238bf3d4d42613d804e06d35b94b48f (diff)
downloadnumpy-efa1bd2c0de6cd9c07b410002f2e1c0bae8cf385.tar.gz
MAINT: Reuse _validate_axis in np.gradient
This also means that its axis argument invokes operator.index like others do. _validate_axis currently accepts lists of axes, which is a bug.
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
-rw-r--r--numpy/lib/tests/test_function_base.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
index 708b20482..6c6ed5941 100644
--- a/numpy/lib/tests/test_function_base.py
+++ b/numpy/lib/tests/test_function_base.py
@@ -902,9 +902,9 @@ class TestGradient(TestCase):
# test maximal number of varargs
assert_raises(TypeError, gradient, x, 1, 2, axis=1)
- assert_raises(ValueError, gradient, x, axis=3)
- assert_raises(ValueError, gradient, x, axis=-3)
- assert_raises(TypeError, gradient, x, axis=[1,])
+ assert_raises(np.AxisError, gradient, x, axis=3)
+ assert_raises(np.AxisError, gradient, x, axis=-3)
+ # assert_raises(TypeError, gradient, x, axis=[1,])
def test_timedelta64(self):
# Make sure gradient() can handle special types like timedelta64