def test_verbosity_true_(capsys):
d1 = np.random.normal(size=1000)
d2 = d1
ks(d1, d2, verbose=True)
captured = capsys.readouterr()
assert captured.out == "\nKS: pvalue = 1.0\n\nKS: Null hypothesis cannot be rejected. Distributions not statistically different.\n"
es(d1, d2, verbose=True)
captured = capsys.readouterr()
assert captured.out == "\nES: pvalue = 1.0\n\nES: Null hypothesis cannot be rejected. Distributions not statistically different.\n"
def test_es_returns_small():
"""
Test.
"""
d1 = np.random.normal(size=1000)
d2 = np.random.weibull(1, size=1000) - 1
assert es(d1, d2)[1] < 0.001
def test_es_returns_one():
"""
Test.
"""
d1 = np.random.normal(size=1000)
d2 = d1
assert es(d1, d2)[1] == 1.0
def test_es_returns_small():
'''Epps-Singleton test statistic returns small value (<0.001)'''
d1 = np.random.normal(size=1000)
d2 = np.random.weibull(1, size=1000) - 1
assert es(d1, d2)[1] < 0.001
def test_es_returns_one():
'''Epps-Singleton test statistic returns one'''
d1 = np.random.normal(size=1000)
d2 = d1
assert es(d1, d2)[1] == 1.0