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authorBen Rowland <bennyrowland@mac.com>2016-12-31 16:52:47 +0000
committerCharles Harris <charlesr.harris@gmail.com>2016-12-31 09:52:47 -0700
commitb1b67d65503b46f7da04785656b145ee82cc0157 (patch)
tree24054cb43aaa34bde12234eb4841dccedd7881d5 /numpy/lib/tests
parent3add9ed2d7c93215db9bdfd9a3accaa341ce3647 (diff)
downloadnumpy-b1b67d65503b46f7da04785656b145ee82cc0157.tar.gz
BUG: Fix apply_along_axis() for when func1d() returns a non-ndarray (#8426)
* BUG: Closes issue #8419 Fixes issue in apply_along_axis() where func1d() returns a non ndarray * BUG: Fix apply_along_axis() when func1d() returns a non-ndarray Closes issue #8419. Fixes issue in apply_along_axis() where func1d() returns a non ndarray by calling asanyarray() on result. This commit fixes a too long line in the test case.
Diffstat (limited to 'numpy/lib/tests')
-rw-r--r--numpy/lib/tests/test_shape_base.py6
1 files changed, 6 insertions, 0 deletions
diff --git a/numpy/lib/tests/test_shape_base.py b/numpy/lib/tests/test_shape_base.py
index 2eb4a809d..a716d3b38 100644
--- a/numpy/lib/tests/test_shape_base.py
+++ b/numpy/lib/tests/test_shape_base.py
@@ -58,6 +58,12 @@ class TestApplyAlongAxis(TestCase):
assert isinstance(res, MinimalSubclass)
assert_array_equal(res, np.array([6, 6, 6]).view(MinimalSubclass))
+ def test_tuple_func1d(self):
+ def sample_1d(x):
+ return x[1], x[0]
+ res = np.apply_along_axis(sample_1d, 1, np.array([[1, 2], [3, 4]]))
+ assert_array_equal(res, np.array([[2, 1], [4, 3]]))
+
class TestApplyOverAxes(TestCase):
def test_simple(self):