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../verifier/test_outputs.py::test_malformed_hash_fails_without_partial_publication PASSED [100%]
=================================== FAILURES ===================================
______________ test_public_canonicalization_and_collision_catalog ______________
def test_public_canonicalization_and_collision_catalog() -> None:
instance = read_json(PUBLIC_INSTANCE)
history, counts = canonical_history(PUBLIC_HISTORY)
mask, center, scale, threshold = expected_decomposition(history, instance)
rows = read_csv(OUTPUT / "collision_events.csv", EVENT_COLUMNS)
indices = np.flatnonzero(mask) + 1
> assert len(rows) == len(indices) >= 100
E AssertionError: assert 185 == 187
E + where 185 = len([{'companion_mass_msun': '15.43193152957', 'event_id': 'event_0001', 'post_mass_msun': '19.0295874814', 'pre_mass_msun': '3.59765595183', ...}, {'companion_mass_msun': '18.2544032014', 'event_id': 'event_0002', 'post_mass_msun': '38.5847513503', 'pre_mass_msun': '20.3303481489', ...}, {'comp...
E + and 187 = len(array([ 904, 1047, 1084, 1173, 1287, 1300, 1324, 1346, 1347, 1381, 1404,\n 1407, 1408, 1421, 1427, 1434, 1437, 1443, 1445, 1449, 1453, 1456,\n 1458, 1464, 1467, 1469, 1471, 1472, 1478, 1490, 1496, 1501, 1503,\n 1506, 1510, 1517, 1530, 1532, 1533, 1541, 1543, 1551, 1552, 156...
/verifier/test_outputs.py:688: AssertionError
______________ test_public_merger_tree_is_a_closed_central_spine _______________
def test_public_merger_tree_is_a_closed_central_spine() -> None:
events = read_csv(OUTPUT / "collision_events.csv", EVENT_COLUMNS)
tree = read_json(OUTPUT / "merger_tree.json")
count = len(events)
assert tree["schema_version"] == "1.0" and tree["tree_type"] == "central_spine"
assert tree["event_count"] == tree["maximum_depth"] == count
assert tree["node_count"] == len(tree["nodes"]) == 2 * count + 1
assert tree["edge_count"] == len(tree["edges"]) == 2 * count
assert tree["root_node_id"] == f"central_{count:04d}"
node_ids = {node["node_id"] for node in tree["nodes"]}
assert len(node_ids) == len(tree["nodes"])
assert all(edge["source"] in node_ids and edge["target"] in node_ids for edge in tree["edges"])
> assert tree["maximum_event_mass_closure_msun"] < 1e-8
E assert 9891.30896718 < 1e-08
/verifier/test_outputs.py:715: AssertionError
_______________ test_public_growth_budget_closes_every_interval ________________
def test_public_growth_budget_closes_every_interval() -> None:
history, _ = canonical_history(PUBLIC_HISTORY)
rows = read_csv(OUTPUT / "growth_budget.csv", GROWTH_COLUMNS)
assert [int(row["bin_index"]) for row in rows] == list(range(len(rows)))
smooth = sum(float(row["smooth_delta_msun"]) for row in rows)
collision = sum(float(row["collision_delta_msun"]) for row in rows)
total = sum(float(row["total_delta_msun"]) for row in rows)
assert math.isclose(total, float(history[-1, 1] - history[0, 1]), abs_tol=1e-7)
assert math.isclose(smooth + collision, total, abs_tol=1e-7)
diagnostics = read_json(OUTPUT / "diagnostics.json")
> assert abs(diagnostics["growth_budget"]["growth_closure_residual_msun"]) < 1e-7
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E KeyError: 'growth_closure_residual_msun'
/verifier/test_outputs.py:728: KeyError
________ test_public_runaway_growth_ladder_is_closed_and_spine_coupled _________
def test_public_runaway_growth_ladder_is_closed_and_spine_coupled() -> None:
instance = read_json(PUBLIC_INSTANCE)
history, _ = canonical_history(PUBLIC_HISTORY)
mask, center, _, _ = expected_decomposition(history, instance)
expected_rows, total_collision_mass = expected_runaway(history, mask, center)
rows = read_csv(OUTPUT / "runaway_growth.csv", RUNAWAY_COLUMNS)
events = read_csv(OUTPUT / "collision_events.csv", EVENT_COLUMNS)
> assert len(rows) == len(expected_rows) == len(events) == int(np.sum(mask)) >= 100
E AssertionError: assert 185 == 187
E + where 185 = len([{'central_mass_pre_msun': '3.59765595183', 'collision_mass_fraction': '0.001649644566556734', 'companion_mass_msun': '15.43193152957', 'cumulative_collision_mass_msun': '15.43193152957', ...}, {'central_mass_pre_msun': '20.3303481489', 'collision_mass_fraction': '0.00360100606652345', 'comp...
E + and 187 = len([{'central_mass_pre_msun': 3.59765595183, 'collision_mass_fraction': 0.0016467983100525389, 'companion_mass_msun': 15.43193152957, 'cumulative_collision_mass_msun': 15.43193152957, ...}, {'central_mass_pre_msun': 20.3303481489, 'collision_mass_fraction': 0.003594792978476318, 'companion_mass...
/verifier/test_outputs.py:738: AssertionError
______ test_public_remnant_scenarios_match_independent_analytic_solution _______
def test_public_remnant_scenarios_match_independent_analytic_solution() -> None:
instance = read_json(PUBLIC_INSTANCE)
history, _ = canonical_history(PUBLIC_HISTORY)
rows = read_csv(OUTPUT / "remnant_scenarios.csv", REMNANT_COLUMNS)
metallicities = instance["remnant_model"]["metallicity_scenarios_zsun"]
assert len(rows) == len(metallicities)
previous = math.inf
for index, (row, metallicity) in enumerate(zip(rows, metallicities, strict=True), start=1):
main_mass, remnant = analytic_remnant(float(history[-1, 0]), float(history[-1, 1]), float(metallicity), instance["remnant_model"])
> assert row["scenario_id"] == f"z_{index:02d}"
E AssertionError: assert 'z_00' == 'z_01'
E
E - z_01
E ? ^
E + z_00
E ? ^
/verifier/test_outputs.py:768: AssertionError
____________ test_report_contains_auditable_physical_interpretation ____________
def test_report_contains_auditable_physical_interpretation() -> None:
report = (OUTPUT / "report.md").read_text(encoding="utf-8").lower()
for phrase in ("collision", "smooth", "metallicity", "remnant"):
assert phrase in report
> assert "spine" in report and "tree" in report
E AssertionError: assert ('spine' in '# runaway-collision reconstruction report\n\n## overview\nthis report presents the reconstructed runaway-collision and stellar wind evolution history of the most massive star in a forming dense cluster.\n\n## collision spine & event detection\n- total detected collision event...
/verifier/test_outputs.py:779: AssertionError
_______ test_reusable_cli_generalizes_to_private_randomized_histories[1] _______
seed = 1