def test_rate_likelihood_requires_rate(self):
like = RateLikelihood(
posteriors=self.data, hyper_prior=self.model,
selection_function=self.selection_function,
ln_evidences=self.ln_evidences)
like.parameters.update(self.params)
with self.assertRaises(KeyError):
like.log_likelihood_ratio()
def test_rate_likelihood_conversion_function_pops_parameters(self):
like = RateLikelihood(
posteriors=self.data, hyper_prior=self.model,
conversion_function=self.conversion_function,
selection_function=self.selection_function,
ln_evidences=self.ln_evidences)
self.params['bar'] = None
self.params['rate'] = 1
like.parameters.update(self.params)
like.log_likelihood_ratio()
self.assertFalse('bar' in like.parameters)