def test_specific_points_x_prime_to_x_pi_pi(convention, input, expected):
"""Test specific points on a sphere.
Order is (x, y, z) to (ra/az, dec/zen, r) using [-pi, pi] for ra/az.
Test:
- (+/-1, 0, 0) and all permutations
- (0, 0, 0)
- (+/-1, +-1, sqrt(2)) a point exactly 2 away from the origin
"""
parameters = ['a', 'b']
if convention == 'ra-dec':
prior_bounds = {'a': [-np.pi, np.pi], 'b': [-np.pi / 2, np.pi / 2]}
else:
prior_bounds = {'a': [-np.pi, np.pi], 'b': [0, np.pi]}
reparam = AnglePair(
parameters=parameters,
prior_bounds=prior_bounds,
convention=convention,
)
x_prime = parameters_to_live_point(input, reparam.prime_parameters)
x = parameters_to_live_point([0, 0, 0], reparam.parameters)
log_j = 0
out, _, _ = reparam.inverse_reparameterise(x, x_prime, log_j)
np.testing.assert_equal(out[reparam.parameters[0]], expected[0])
np.testing.assert_equal(out[reparam.parameters[1]], expected[1])
np.testing.assert_equal(out[reparam.parameters[2]], expected[2])
def test_consume_sample_reject(sampler, live_points):
"""Test the default behaviour of consume sample"""
sampler.live_points = live_points
reject_sample = parameters_to_live_point((-0.5,), ['x'])
reject_sample['logL'] = -0.5
new_sample = parameters_to_live_point((0.5,), ['x'])
new_sample['logL'] = 0.5
sampler.yield_sample = MagicMock()
sampler.yield_sample.return_value = \
iter([(1, reject_sample), (1, new_sample)])
sampler.insert_live_point = MagicMock(return_value=0)
sampler.check_state = MagicMock()
NestedSampler.consume_sample(sampler)
sampler.insert_live_point.assert_called_once_with(new_sample)
sampler.check_state.assert_called_once()
assert sampler.nested_samples == [live_points[0]]
assert sampler.logLmin == 0.0
assert sampler.rejected == 1
assert sampler.accepted == 1
assert sampler.block_acceptance == 0.5
assert sampler.acceptance_history == [0.5]
assert sampler.mean_block_acceptance == 0.5
assert sampler.insertion_indices == [0]
def test_yield_sample_reject(sampler, old_sample):
"""Test function when sample is rejected and a new sample is drawn"""
new_samples = [
parameters_to_live_point([6, 6], names=sampler.model.names),
parameters_to_live_point([1, 1], names=sampler.model.names)
]
sampler.proposal.draw = MagicMock(side_effect=new_samples)
sampler.proposal.populated = True
count, next_sample = next(NestedSampler.yield_sample(sampler, old_sample))
assert count == 2
assert next_sample == new_samples[1]
sampler.proposal.draw.assert_called_with(old_sample)
def test_parameters_to_live_point(live_point):
"""
Test function that produces a single live point given the parameter
values for the live point as a live or an array
"""
x = lp.parameters_to_live_point([1., 2., 3.], ['x', 'y', 'z'])
np.testing.assert_array_equal(live_point, x)
def test_periodic_parameter(value, output_x, output_y):
"""Test a generic periodic parameter"""
parameters = ['a']
prior_bounds = {'a': [-1.0, 1.0]}
reparam = Angle(parameters=parameters,
prior_bounds=prior_bounds,
scale=None)
x = parameters_to_live_point((value, ), parameters)
x_prime = parameters_to_live_point((np.nan, np.nan),
reparam.prime_parameters)
log_j = np.zeros(x.size)
x_out, x_prime_out, log_j_out = reparam.reparameterise(x, x_prime, log_j)
np.testing.assert_array_equal(x_out, x)
if output_x:
assert x_prime_out[reparam.x] == output_x
if output_y:
assert x_prime_out[reparam.y] == output_y
def test_x_prime_log_prior():
"""Test the x prime prior"""
reparam = create_autospec(AnglePair)
reparam.prime_parameters = ['x', 'y', 'z']
reparam.has_prime_prior = True
x = parameters_to_live_point([1, 1, 1], reparam.prime_parameters)
# Should be -1.5 * log(2pi) - 1.5
expected = -1.5 * (1 + np.log(2 * np.pi))
out = AnglePair.x_prime_log_prior(reparam, x)
np.testing.assert_equal(out, expected)
def test_yield_sample_accept(sampler, old_sample):
"""Test function when sample is accepted"""
new_sample = parameters_to_live_point([1, 1], names=sampler.model.names)
sampler.proposal.draw = MagicMock(return_value=new_sample)
count, next_sample = next(NestedSampler.yield_sample(sampler, old_sample))
assert count == 1
sampler.proposal.draw.assert_called_once_with(old_sample)
assert next_sample == new_sample
assert sampler.logLmax == sampler.model.log_likelihood(new_sample)
def test_yield_sample_not_populated(sampler, old_sample):
"""Test function when sample is rejected and a new sample is not drawn"""
new_sample = parameters_to_live_point([6, 6], names=sampler.model.names)
sampler.proposal.draw = MagicMock(return_value=new_sample)
sampler.proposal.populated = False
count, next_sample = next(NestedSampler.yield_sample(sampler, old_sample))
assert count == 1
assert old_sample == next_sample
sampler.proposal.draw.assert_called_once_with(old_sample)
def test_log_prior():
"""Assert log_prior calls the log pdf of a chi distribution."""
reparam = create_autospec(AnglePair)
reparam.parameters = ['a', 'b', 'r']
reparam.has_prior = True
x = parameters_to_live_point([0, 0, 2.0], reparam.parameters)
reparam.chi = MagicMock()
reparam.chi.logpdf = MagicMock(return_value=1.0)
out = AnglePair.log_prior(reparam, x)
reparam.chi.assert_not_called()
reparam.chi.logpdf.assert_called_once_with(x['r'])
assert out == 1.0
def old_sample(model):
return parameters_to_live_point([5, 5], names=model.names)
def test_empty_parameters_to_live_point(empty_live_point):
"""
Test behaviour when an empty parameter is parsed
"""
np.testing.assert_array_equal(
empty_live_point, lp.parameters_to_live_point([], ['x', 'y', 'z']))
