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| author | Tobias Pitters <tobias.pitters@gmail.com> | 2020-06-12 23:36:31 +0200 |
|---|---|---|
| committer | Tobias Pitters <tobias.pitters@gmail.com> | 2020-06-12 23:36:31 +0200 |
| commit | 88acbc852eeb73edd0d09c773f125725c8a0587b (patch) | |
| tree | 7e2610d49f2bf7b7f287646ff239c95e22c3b645 | |
| parent | 45605b241df185d4156edc740b794f1ff24fd61d (diff) | |
| download | numpy-88acbc852eeb73edd0d09c773f125725c8a0587b.tar.gz | |
limit test_quantile_monotonic
| -rw-r--r-- | numpy/lib/tests/test_function_base.py | 11 |
1 files changed, 8 insertions, 3 deletions
diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py index cd88c5634..5ccac62e4 100644 --- a/numpy/lib/tests/test_function_base.py +++ b/numpy/lib/tests/test_function_base.py @@ -3112,11 +3112,16 @@ class TestQuantile: # GH 14685 # test that the return value of quantile is monotonic if p0 is ordered p0 = np.arange(0, 1, 0.01) - quantile = np.quantile(np.array([0, 1, 1, 2, 2, 3, 3, 4, 5, 5, 1, 1, 9, 9, 9, 8, 8, 7]) * 0.1, p0) + quantile = np.quantile(np.array([0, 1, 1, 2, 2, 3, 3, 4, 5, 5, 1, 1, 9, 9, 9, + 8, 8, 7]) * 0.1, p0) assert_equal(np.sort(quantile), quantile) - @hypothesis.given(arr=arrays(dtype=np.float, shape=st.integers(min_value=3, max_value=1000), - elements=st.floats(allow_infinity=False, allow_nan=False))) + @hypothesis.given(arr=arrays(dtype=np.float, shape=st.integers(min_value=3, + max_value=1000), + elements=st.floats(allow_infinity=False, + allow_nan=False, + min_value=-1e300, + max_value=1e300))) def test_quantile_monotonic_hypo(self, arr): p0 = np.arange(0, 1, 0.01) quantile = np.quantile(arr, p0) |