class documentation
class TestQuantile: (source)
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@pytest.mark.parametrize( 'method', [ 'inverted_cdf', 'averaged_inverted_cdf', 'closest_observation', 'interpolated_inverted_cdf', 'hazen', 'weibull', 'linear', 'median_unbiased', 'normal_unbiased', 'nearest', 'lower', 'higher', 'midpoint'])
def test_quantile_monotonic(self, method): (source) ¶
def test_quantile_monotonic(self, method): (source) ¶
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@hypothesis.given( arr=arrays( dtype=np.float64, shape=st.integers( min_value=3, max_value=1000), elements=st.floats( allow_infinity=False, allow_nan=False, min_value=-1e+300, max_value=1e+300)))
def test_quantile_monotonic_hypo(self, arr): (source) ¶
def test_quantile_monotonic_hypo(self, arr): (source) ¶
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