def test_weibull_param_out_of_bounds(weibull_param_name):
dist = WeibullDistribution()
setattr(dist, weibull_param_name, ConstantParam(-np.inf))
with pytest.raises(ValueError):
dist.cdf([0, 100], [0, 100], (None, None, None))
dist = WeibullDistribution()
setattr(dist, weibull_param_name, ConstantParam(np.inf))
with pytest.raises(ValueError):
dist.cdf([0, 100], [0, 100], (None, None, None))
def test_weibull_cdf(weibull_shape, weibull_loc, weibull_scale):
x = np.linspace(0, 20)
ref_cdf = sts.weibull_min.cdf(x, weibull_shape(None), weibull_loc(None),
weibull_scale(None))
dist = WeibullDistribution(weibull_shape, weibull_loc, weibull_scale)
my_cdf = dist.cdf(x, x, (None, None, None))
assert np.allclose(ref_cdf, my_cdf)