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| author | Travis Oliphant <oliphant@enthought.com> | 2006-09-24 07:08:26 +0000 |
|---|---|---|
| committer | Travis Oliphant <oliphant@enthought.com> | 2006-09-24 07:08:26 +0000 |
| commit | 46bd2a34e3006a5047d637543f472893e418462f (patch) | |
| tree | e32c58c151f043ec15e185e12f21f67fe1e1066e /numpy | |
| parent | d0d5a9218ecb31041e9e20807ff2f4ccca0bbbfb (diff) | |
| download | numpy-46bd2a34e3006a5047d637543f472893e418462f.tar.gz | |
Fix doctests for new dtype
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/lib/tests/test_ufunclike.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/numpy/lib/tests/test_ufunclike.py b/numpy/lib/tests/test_ufunclike.py index a28048342..fc7b27f2a 100644 --- a/numpy/lib/tests/test_ufunclike.py +++ b/numpy/lib/tests/test_ufunclike.py @@ -18,26 +18,26 @@ array([[ 1., 1., 1., 1.], Test isposinf, isneginf, sign >>> a = nx.array([nx.Inf, -nx.Inf, nx.NaN, 0.0, 3.0, -3.0]) >>> U.isposinf(a) -array([True, False, False, False, False, False], dtype=bool) +array([True, False, False, False, False, False], dtype='bool') >>> U.isneginf(a) -array([False, True, False, False, False, False], dtype=bool) +array([False, True, False, False, False, False], dtype='bool') >>> nx.sign(a) array([ 1., -1., 0., 0., 1., -1.]) Same thing with an output array: >>> y = nx.zeros(a.shape, bool) >>> U.isposinf(a, y) -array([True, False, False, False, False, False], dtype=bool) +array([True, False, False, False, False, False], dtype='bool') >>> y -array([True, False, False, False, False, False], dtype=bool) +array([True, False, False, False, False, False], dtype='bool') >>> U.isneginf(a, y) -array([False, True, False, False, False, False], dtype=bool) +array([False, True, False, False, False, False], dtype='bool') >>> y -array([False, True, False, False, False, False], dtype=bool) +array([False, True, False, False, False, False], dtype='bool') >>> nx.sign(a, y) -array([True, True, False, False, True, True], dtype=bool) +array([True, True, False, False, True, True], dtype='bool') >>> y -array([True, True, False, False, True, True], dtype=bool) +array([True, True, False, False, True, True], dtype='bool') Now log2: >>> a = nx.array([4.5, 2.3, 6.5]) |