def setUp(self):
self.tests = [
{
'distribution':
cd.PhaseType([[-1.0]], [1.0]),
'like': [{
'alias': [
cd.HyperExp([1.0, 1.0], [0.5, 0.5]),
cd.HyperExp([1.0] * 4, [0.25] * 4),
cd.Exp(1.0),
cd.Erlang(1, 1.0)
],
'functions': [
{
'name': 'mean'
},
{
'name': 'var'
},
{
'name': 'std'
},
{
'name': 'moment',
'grid': [1, 2, 3],
'vectorized': False
},
{
'name': 'pdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
},
{
'name': 'cdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
},
]
}],
'properties': [
{
'name': 'S',
'value': [[-1.0]]
},
{
'name': 'subgenerator',
'value': [[-1.0]]
},
{
'name': 'pmf0',
'value': [1.0]
},
{
'name': 'order',
'value': 1
},
],
'functions': [
# {'name': 'generate', 'args': (10000,), 'precision': 1,
# 'generator': True,
# 'calls': [
# {'call': numpy.mean, 'as_function': 'mean'},
# {'call': numpy.std, 'as_function': 'std'},
# {'call': numpy.var, 'as_function': 'var'},
# ]},
# {'name': 'sample', 'kwargs': {'shape': (20000,)},
# 'precision': 1, 'calls': [
# {'call': numpy.mean, 'as_function': 'mean'},
# {'call': numpy.std, 'as_function': 'std'},
# {'call': lambda x: x.shape, 'as_value': (20000,)}
# ]},
# {'name': 'sample', 'kwargs': {'shape': (4, 1)},
# 'precision': 1, 'calls': [
# {'call': lambda x: x.shape, 'as_value': (4, 1)}
# ]},
# {'name': 'sample', 'kwargs': {'shape': (3, 4, 5)},
# 'precision': 1, 'calls': [
# {'call': lambda x: x.shape, 'as_value': (3, 4, 5)}
# ]},
],
},
{
'distribution':
cd.PhaseType([[-1.0, 1.0], [0.0, -1.0]], [1.0, 0]),
'like': [{
'alias': [cd.Erlang(2, 1.0)],
'functions': [
{
'name': 'mean'
},
{
'name': 'var'
},
{
'name': 'std'
},
{
'name': 'moment',
'grid': [1, 2, 3],
'vectorized': False
},
{
'name': 'pdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
},
{
'name': 'cdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
},
]
}],
'properties': [
{
'name': 'S',
'value': [[-1.0, 1.0], [0.0, -1.0]]
},
{
'name': 'subgenerator',
'value': [[-1.0, 1.0], [0.0, -1.0]]
},
{
'name': 'pmf0',
'value': [1.0, 0]
},
{
'name': 'order',
'value': 2
},
],
},
]
def test_fail_creation_with_zero_or_negative_rate(self):
rates = [0.0, -1.0, -2.0, -numpy.inf]
for rate in rates:
with self.assertRaises(ValueError):
cd.Erlang(shape=1, rate=rate)
def test_fail_creation_wht_zero_or_negative_shape(self):
shapes = [0, -1, -2, -numpy.inf]
for shape in shapes:
with self.assertRaises(ValueError):
cd.Erlang(shape=shape, rate=1.0)
def test_fail_creation_with_non_integer_shape(self):
shapes = [1.5, 2.5, numpy.inf]
for shape in shapes:
with self.assertRaises(ValueError):
cd.Erlang(shape=shape, rate=1.0)
def setUp(self):
self.tests = [{
'distribution':
cd.Erlang(shape=1, rate=1.0),
'like': [{
'alias': [cd.Exp(1.0)],
'functions': [{
'name': 'mean'
}, {
'name': 'var'
}, {
'name': 'std'
}, {
'name': 'moment',
'grid': [1, 2, 3]
}, {
'name': 'pdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
}, {
'name': 'cdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
}]
}],
'properties': [{
'name': 'shape',
'value': 1
}, {
'name': 'rate',
'value': 1.0
}],
'functions': [
{
'name':
'generate',
'args': (25000, ),
'precision':
1,
'generator':
True,
'calls': [
{
'call': numpy.mean,
'as_function': 'mean'
},
{
'call': numpy.std,
'as_function': 'std'
},
{
'call': numpy.var,
'as_function': 'var'
},
]
},
{
'name':
'sample',
'kwargs': {
'shape': (25000, )
},
'precision':
1,
'calls': [{
'call': numpy.mean,
'as_function': 'mean'
}, {
'call': numpy.std,
'as_function': 'std'
}, {
'call': lambda x: x.shape,
'as_value': (25000, )
}]
},
{
'name': 'sample',
'kwargs': {
'shape': (5, 1)
},
'precision': 1,
'calls': [{
'call': lambda x: x.shape,
'as_value': (5, 1)
}]
},
{
'name': 'sample',
'kwargs': {
'shape': (3, 4, 5)
},
'precision': 1,
'calls': [{
'call': lambda x: x.shape,
'as_value': (3, 4, 5)
}]
},
]
}, {
'distribution':
cd.Erlang(shape=1, rate=2.0),
'like': [{
'alias': [cd.Exp(2.0)],
'functions': [
{
'name': 'mean'
},
{
'name': 'var'
},
{
'name': 'std'
},
{
'name': 'moment',
'grid': [1, 2, 3]
},
{
'name': 'pdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
},
{
'name': 'cdf',
'grid': [0.0, 1.0, 2.0, numpy.inf]
},
]
}],
'properties': [
{
'name': 'shape',
'value': 1
},
{
'name': 'rate',
'value': 2.0
},
]
}, {
'distribution':
cd.Erlang(shape=2, rate=4.0),
'properties': [
{
'name': 'shape',
'value': 2
},
{
'name': 'rate',
'value': 4.0
},
],
'functions': [
{
'name': 'mean',
'value': 0.5
},
{
'name': 'std',
'value': 0.125**0.5
},
{
'name': 'var',
'value': 0.125
},
{
'name': 'moment',
'grid': [(1, 0.5), (2, 0.375)]
},
{
'name':
'pdf',
'precision':
4,
'grid': [(0.0, 0.0), (1.0, 0.29305), (2.0, 0.01073),
(numpy.inf, 0)],
},
{
'name':
'cdf',
'precision':
4,
'grid': [(0.0, 0.0), (1.0, 0.90842), (2.0, 0.99698),
(numpy.inf, 1.0)]
},
{
'name':
'generate',
'args': (25000, ),
'precision':
1,
'generator':
True,
'calls': [
{
'call': numpy.mean,
'as_function': 'mean'
},
{
'call': numpy.std,
'as_function': 'std'
},
{
'call': numpy.var,
'as_function': 'var'
},
]
},
],
}]