def test_args(self):
# It should be possible to specify a frozen distribution or a name and
# parameters.
assert simple_test((.2, .5, .8), uniform(1, 2)).pvalue == 0
assert simple_test((.2, .5, .8), 'uniform', args=(1, 2)).pvalue == 0
def test_args(self):
# It should be possible to specify a frozen distribution or a name and
# parameters.
assert simple_test((.2, .5, .8), uniform(1, 2)).pvalue == 0
assert simple_test((.2, .5, .8), 'uniform', args=(1, 2)).pvalue == 0
def test_basic(self):
# Custom statistic calculation / distribution and object-like result.
stat = lambda data: 3
pdist = lambda samples: namedtuple('FD', 'sf')(sf=lambda statistic: .5)
result = simple_test((1, 2, 3), norm, stat=stat, pdist=pdist)
assert result.statistic == 3 and result.pvalue == .5
def test_basic(self):
# Custom statistic calculation / distribution and object-like result.
stat = lambda data: 3
pdist = lambda samples: namedtuple('FD', 'sf')(sf=lambda statistic: .5)
result = simple_test((1, 2, 3), norm, stat=stat, pdist=pdist)
assert result.statistic == 3 and result.pvalue == .5
