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author | Sebastian Berg <sebastian@sipsolutions.net> | 2020-12-02 20:22:00 -0600 |
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committer | Sebastian Berg <sebastian@sipsolutions.net> | 2020-12-02 20:25:16 -0600 |
commit | d54e2dcc17e0f0a8702d4b0eb4ac30a5c927a056 (patch) | |
tree | 6e0bfbef7d17f3907c03a1b7e54e54431c12bfd1 /numpy/lib/tests/test_index_tricks.py | |
parent | e481e39350847af034bbab8e1237ef0085714886 (diff) | |
download | numpy-d54e2dcc17e0f0a8702d4b0eb4ac30a5c927a056.tar.gz |
DEP: Finalize unravel_index `dims` alias for `shape` keyword
The argument was renamed to `shape` and deprecated since NumPy 1.16,
so the deprecation can now be finalized.
Diffstat (limited to 'numpy/lib/tests/test_index_tricks.py')
-rw-r--r-- | numpy/lib/tests/test_index_tricks.py | 15 |
1 files changed, 4 insertions, 11 deletions
diff --git a/numpy/lib/tests/test_index_tricks.py b/numpy/lib/tests/test_index_tricks.py index 843e27cef..c21aefd1a 100644 --- a/numpy/lib/tests/test_index_tricks.py +++ b/numpy/lib/tests/test_index_tricks.py @@ -16,23 +16,13 @@ class TestRavelUnravelIndex: def test_basic(self): assert_equal(np.unravel_index(2, (2, 2)), (1, 0)) - # test backwards compatibility with older dims - # keyword argument; see Issue #10586 - with assert_warns(DeprecationWarning): - # we should achieve the correct result - # AND raise the appropriate warning - # when using older "dims" kw argument - assert_equal(np.unravel_index(indices=2, - dims=(2, 2)), - (1, 0)) - # test that new shape argument works properly assert_equal(np.unravel_index(indices=2, shape=(2, 2)), (1, 0)) # test that an invalid second keyword argument - # is properly handled + # is properly handled, including the old name `dims`. with assert_raises(TypeError): np.unravel_index(indices=2, hape=(2, 2)) @@ -42,6 +32,9 @@ class TestRavelUnravelIndex: with assert_raises(TypeError): np.unravel_index(254, ims=(17, 94)) + with assert_raises(TypeError): + np.unravel_index(254, dims=(17, 94)) + assert_equal(np.ravel_multi_index((1, 0), (2, 2)), 2) assert_equal(np.unravel_index(254, (17, 94)), (2, 66)) assert_equal(np.ravel_multi_index((2, 66), (17, 94)), 254) |