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test_distribution_defaults.py
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test_distribution_defaults.py
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from __future__ import division
from ..model import Model
from ..distributions import DiscreteUniform, Continuous
import numpy as np
from nose.tools import raises
class DistTest(Continuous):
def __init__(self, a, b, *args, **kwargs):
super(DistTest, self).__init__(*args, **kwargs)
self.a = a
self.b = b
def logp(self, v):
return 0
@raises(AttributeError)
def test_default_nan_fail():
with Model():
DistTest('x', np.nan, 2, defaults=['a'])
@raises(AttributeError)
def test_default_empty_fail():
with Model():
DistTest('x', 1, 2, defaults=[])
def test_default_testval():
with Model():
x = DistTest('x', 1, 2, testval=5, defaults=[])
assert x.tag.test_value == 5
def test_default_testval_nan():
with Model():
x = DistTest('x', 1, 2, testval=np.nan, defaults=['a'])
np.testing.assert_almost_equal(x.tag.test_value, np.nan)
def test_default_a():
with Model():
x = DistTest('x', 1, 2, defaults=['a'])
assert x.tag.test_value == 1
def test_default_b():
with Model():
x = DistTest('x', np.nan, 2, defaults=['a', 'b'])
assert x.tag.test_value == 2
def test_default_c():
with Model():
y = DistTest('y', 7, 8, testval=94)
x = DistTest('x', y, 2, defaults=['a', 'b'])
assert x.tag.test_value == 94
def test_default_discrete_uniform():
with Model():
x = DiscreteUniform('x', lower=1, upper=2)
assert x.init_value == 1