def setUp(self):
likelihood = bilby.core.likelihood.Likelihood()
likelihood.parameters = dict(a=1, b=2, c=3)
delta_prior = prior.DeltaFunction(peak=0)
delta_prior.rescale = MagicMock(return_value=prior.DeltaFunction(
peak=1))
delta_prior.prob = MagicMock(return_value=1)
delta_prior.sample = MagicMock(return_value=0)
uniform_prior = prior.Uniform(0, 1)
uniform_prior.rescale = MagicMock(return_value=prior.Uniform(0, 2))
uniform_prior.prob = MagicMock(return_value=1)
uniform_prior.sample = MagicMock(return_value=0.5)
priors = dict(a=delta_prior, b='string', c=uniform_prior)
likelihood.log_likelihood_ratio = MagicMock(return_value=1)
likelihood.log_likelihood = MagicMock(return_value=2)
test_directory = 'test_directory'
if os.path.isdir(test_directory):
os.rmdir(test_directory)
self.sampler = bilby.core.sampler.Sampler(
likelihood=likelihood,
priors=priors,
outdir=test_directory,
use_ratio=False,
skip_import_verification=True)
def test_prior_transform_does_not_transform_fixed_parameter_keys(self):
self.sampler.prior_transform([0])
self.assertEqual(self.sampler.priors['a'].peak,
prior.DeltaFunction(peak=0).peak)