def test_compute_lrt_fails_when_garbage_goes_in(self):
pe = ParameterEstimation()
t0 = [2.0]
with pytest.raises(TypeError):
pe.compute_lrt(self.lpost, t0, None, t0)
with pytest.raises(ValueError):
pe.compute_lrt(self.lpost, t0[:-1], self.lpost, t0)
def test_compute_lrt_fails_when_garbage_goes_in(self):
pe = ParameterEstimation()
t0 = [2.0]
with pytest.raises(TypeError):
pe.compute_lrt(self.lpost, t0, None, t0)
with pytest.raises(ValueError):
pe.compute_lrt(self.lpost, t0[:-1], self.lpost, t0)
def test_compute_lrt_computes_deviance_correctly(self):
t0 = [2.0]
pe = ParameterEstimation()
delta_deviance = pe.compute_lrt(self.lpost, t0, self.lpost, t0)
assert delta_deviance < 1e-7
def test_compute_lrt_sets_max_post_to_false(self):
t0 = [2.0]
pe = ParameterEstimation(max_post=True)
assert pe.max_post is True
delta_deviance = pe.compute_lrt(self.lpost, t0, self.lpost, t0)
assert pe.max_post is False
def test_compute_lrt_computes_deviance_correctly(self):
t0 = [2.0]
pe = ParameterEstimation()
delta_deviance, opt1, opt2 = pe.compute_lrt(self.lpost, t0,
self.lpost, t0)
assert delta_deviance < 1e-7
def test_compute_lrt_sets_max_post_to_false(self):
t0 = [2.0]
pe = ParameterEstimation(max_post=True)
assert pe.max_post is True
delta_deviance = pe.compute_lrt(self.lpost, t0, self.lpost, t0)
assert pe.max_post is False