def test_train_proposal(sampler):
"""Verify the proposal is trained"""
sampler.proposal = MagicMock()
sampler.proposal.train = MagicMock()
sampler.check_flow_model_reset = MagicMock()
sampler.checkpoint = MagicMock()
sampler.iteration = 100
sampler.last_updated = 90
sampler.cooldown = 20
sampler.memory = False
sampler.training_time = datetime.timedelta()
sampler.training_iterations = []
sampler.live_points = np.arange(10)
sampler.checkpoint_on_training = True
sampler.block_iteration = 10
sampler.block_acceptance = 0.5
NestedSampler.train_proposal(sampler, force=True)
sampler.check_flow_model_reset.assert_called_once()
sampler.proposal.train.assert_called_once()
sampler.checkpoint.assert_called_once_with(periodic=True)
assert sampler.training_iterations == [100]
assert sampler.training_time.total_seconds() > 0
assert sampler.completed_training is True
assert sampler.block_iteration == 0
assert sampler.block_acceptance == 0
def test_train_proposal_memory(sampler):
"""Verify the proposal is trained with memory"""
sampler.proposal = MagicMock()
sampler.proposal.train = MagicMock()
sampler.check_flow_model_reset = MagicMock()
sampler.checkpoint = MagicMock()
sampler.iteration = 100
sampler.last_updated = 90
sampler.cooldown = 20
sampler.memory = 2
sampler.training_time = datetime.timedelta()
sampler.training_iterations = []
sampler.nested_samples = np.arange(5)
sampler.live_points = np.arange(5, 10)
sampler.checkpoint_on_training = True
sampler.block_iteration = 10
sampler.block_acceptance = 0.5
NestedSampler.train_proposal(sampler, force=True)
sampler.check_flow_model_reset.assert_called_once()
sampler.checkpoint.assert_called_once_with(periodic=True)
sampler.proposal.train.assert_called_once()
np.testing.assert_array_equal(sampler.proposal.train.call_args[0],
np.array([[5, 6, 7, 8, 9, 3, 4]]))
assert sampler.training_iterations == [100]
assert sampler.training_time.total_seconds() > 0
assert sampler.completed_training is True
assert sampler.block_iteration == 0
assert sampler.block_acceptance == 0
def test_train_proposal_not_training(sampler):
"""Verify the proposal is not trained it has not 'cooled down'"""
sampler.proposal = MagicMock()
sampler.proposal.train = MagicMock()
sampler.iteration = 100
sampler.last_updated = 90
sampler.cooldown = 20
NestedSampler.train_proposal(sampler, force=False)
sampler.proposal.train.assert_not_called()
