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author | Alex <aprockhill206@gmail.com> | 2020-05-15 00:00:48 -0700 |
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committer | Alex <aprockhill206@gmail.com> | 2020-07-22 11:59:30 -0700 |
commit | 5db1c6a48c9bf626ad171caab6085eec5b7408ea (patch) | |
tree | 1b809b739cc59e316870d5f8f061504e59598002 /numpy/lib/tests/test_function_base.py | |
parent | 8066b45451eff24228bb5af96aad2fe0bd548383 (diff) | |
download | numpy-5db1c6a48c9bf626ad171caab6085eec5b7408ea.tar.gz |
changed from large number error to different solution
Diffstat (limited to 'numpy/lib/tests/test_function_base.py')
-rw-r--r-- | numpy/lib/tests/test_function_base.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py index 35225ff21..d6e768a2b 100644 --- a/numpy/lib/tests/test_function_base.py +++ b/numpy/lib/tests/test_function_base.py @@ -1743,7 +1743,7 @@ class TestDigitize: # gh-11022 x = 2**54 # loses precision in a float assert_equal(np.digitize(x, [x - 1, x + 1]), 1) - assert_raises(ValueError, digitize, x, [x - 1, x + 1], False, True) + assert_equal(np.digitize(x, [x - 1, x + 1], False, True), 1) @pytest.mark.xfail( reason="gh-11022: np.core.multiarray._monoticity loses precision") |