def test_uninformed_analytic_priors(sampler):
"""
Test to check that the correct proposal method is used with analytic
priors.
"""
NestedSampler.configure_uninformed_proposal(sampler, None, True, None,
None)
assert isinstance(sampler._uninformed_proposal, AnalyticProposal)
def test_uninformed_threshold_default_(sampler, threshold):
"""
Test to check that the threshold is set to the same value if it is above
or equal to 0.1
"""
sampler.acceptance_threshold = threshold
NestedSampler.configure_uninformed_proposal(sampler, None, False, None,
None)
assert sampler.uninformed_acceptance_threshold == threshold
def test_uninformed_threshold_default_below(sampler):
"""
Test to check that the threshold is set to 10 times the acceptance
if it is below 0.1.
"""
sampler.acceptance_threshold = 0.05
NestedSampler.configure_uninformed_proposal(sampler, None, False, None,
None)
assert sampler.uninformed_acceptance_threshold == 0.5
def test_uninformed_proposal_class(sampler):
"""Test using a custom proposal class"""
from nessai.proposal.base import Proposal
class TestProposal(Proposal):
def draw(self, point):
pass
NestedSampler.configure_uninformed_proposal(sampler, TestProposal, False,
None, None)
assert isinstance(sampler._uninformed_proposal, TestProposal)
def test_uninformed_maximum(sampler, maximum, result):
"""
Test to check that the proposal is correctly configured depending on
the maximum number of uninformed iterations.
"""
NestedSampler.configure_uninformed_proposal(sampler, None, False, maximum,
None)
assert sampler.maximum_uninformed == result
if maximum is False:
assert sampler.uninformed_sampling is False
else:
assert sampler.uninformed_sampling is True
def test_uninformed_threshold(sampler):
"""Test the check uninformed threshold is set correctly"""
NestedSampler.configure_uninformed_proposal(sampler, None, False, None,
0.5)
assert sampler.uninformed_acceptance_threshold == 0.5
