deepdog/tests/subset_simulation/test_subset_simulation_coalescing.py

93 lines
2.1 KiB
Python

import deepdog.subset_simulation.subset_simulation_impl as impl
import numpy
def test_subset_simulation_multi_result_coalescing_include_dirty(snapshot):
res1 = impl.SubsetSimulationResult(
probs_list=(),
over_target_cost=1,
over_target_likelihood=1,
under_target_cost=0.99,
under_target_likelihood=0.8,
lowest_likelihood=0.5,
messages=[],
)
res2 = impl.SubsetSimulationResult(
probs_list=(),
over_target_cost=1,
over_target_likelihood=1,
under_target_cost=0.99,
under_target_likelihood=0.08,
lowest_likelihood=0.01,
messages=[],
)
res3 = impl.SubsetSimulationResult(
probs_list=(),
over_target_cost=None,
over_target_likelihood=None,
under_target_cost=None,
under_target_likelihood=None,
lowest_likelihood=0.0001,
messages=[],
)
combined = impl.coalesce_ss_results("test", [res1, res2, res3])
assert combined == snapshot
def test_subset_simulation_multi_result_coalescing_easy_arithmetic(snapshot):
res1 = impl.SubsetSimulationResult(
probs_list=(),
over_target_cost=1,
over_target_likelihood=1,
under_target_cost=0.99,
under_target_likelihood=0.8,
lowest_likelihood=0.5,
messages=[],
)
res2 = impl.SubsetSimulationResult(
probs_list=(),
over_target_cost=1,
over_target_likelihood=1,
under_target_cost=0.99,
under_target_likelihood=0.6,
lowest_likelihood=0.01,
messages=[],
)
combined = impl.coalesce_ss_results("test", [res1, res2])
assert combined.arithmetic_mean_estimated_likelihood == 0.7
assert combined == snapshot
def test_subset_simulation_multi_result_coalescing_easy_geometric(snapshot):
res1 = impl.SubsetSimulationResult(
probs_list=(),
over_target_cost=1,
over_target_likelihood=1,
under_target_cost=0.99,
under_target_likelihood=0.1,
lowest_likelihood=0.5,
messages=[],
)
res2 = impl.SubsetSimulationResult(
probs_list=(),
over_target_cost=1,
over_target_likelihood=1,
under_target_cost=0.99,
under_target_likelihood=0.001,
lowest_likelihood=0.01,
messages=[],
)
combined = impl.coalesce_ss_results("test", [res1, res2])
numpy.testing.assert_allclose(combined.estimated_likelihood, 0.01)
assert combined == snapshot