Datasets:
benchflow
/
frontierphysics-pr101-evidence

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PASSED ::test_device_prediction_curves
PASSED ::test_operating_point_constraints_and_selection
FAILED ::test_universal_observables_match_independent_reference - AssertionEr...
FAILED ::test_universal_summary_and_crossover_landmarks - assert 0.1791524109...
========================= 2 failed, 7 passed in 1.15s ==========================
============================= test session starts ==============================
platform linux -- Python 3.12.13, pytest-8.4.1, pluggy-1.6.0 -- /usr/local/bin/python3
rootdir: /app
configfile: ../dev/null
plugins: json-ctrf-0.3.5
collecting ... collected 9 items
::test_artifact_schema_and_order FAILED [ 11%]
::test_full_charge_bands_and_symmetry FAILED [ 22%]
::test_universal_observables_match_independent_reference FAILED [ 33%]
::test_serialized_band_observable_consistency FAILED [ 44%]
::test_universal_summary_and_crossover_landmarks PASSED [ 55%]
::test_reported_charge_cutoff_is_converged PASSED [ 66%]
::test_calibration_parameters_and_weighted_fit PASSED [ 77%]
::test_device_prediction_curves PASSED [ 88%]
::test_operating_point_constraints_and_selection PASSED [100%]
=================================== FAILURES ===================================
________________________ test_artifact_schema_and_order ________________________
def test_artifact_schema_and_order():
assert json.loads((ROOT / "transmon_campaign.json").read_text()) == CAMPAIGN, (
"the supplied campaign input was modified"
)
> bands = read_bands()
^^^^^^^^^^^^
/verifier/test_outputs.py:343:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
def read_bands() -> dict:
path = ROOT / "universal_bands.json"
assert path.is_file(), "missing universal_bands.json"
data = json.loads(path.read_text())
assert set(data) == {"ratio_grid", "ng_grid", "energies"}
ratios = np.asarray(data["ratio_grid"], dtype=float)
ng_grid = np.asarray(data["ng_grid"], dtype=float)
energies = np.asarray(data["energies"], dtype=float)
expected_shape = (len(ratios), len(ng_grid), LEVELS)
> assert energies.shape == expected_shape, f"energies shape {energies.shape} != {expected_shape}"
E AssertionError: energies shape (16, 4, 65) != (16, 65, 4)
E assert (16, 4, 65) == (16, 65, 4)
E
E At index 1 diff: 4 != 65
E
E Full diff:
E (
E 16,
E + 4,...
E
E ...Full output truncated (3 lines hidden), use '-vv' to show
/verifier/test_outputs.py:113: AssertionError
_____________________ test_full_charge_bands_and_symmetry ______________________
def test_full_charge_bands_and_symmetry():
> bands = read_bands()
^^^^^^^^^^^^
/verifier/test_outputs.py:359:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
def read_bands() -> dict:
path = ROOT / "universal_bands.json"
assert path.is_file(), "missing universal_bands.json"
data = json.loads(path.read_text())
assert set(data) == {"ratio_grid", "ng_grid", "energies"}
ratios = np.asarray(data["ratio_grid"], dtype=float)
ng_grid = np.asarray(data["ng_grid"], dtype=float)
energies = np.asarray(data["energies"], dtype=float)
expected_shape = (len(ratios), len(ng_grid), LEVELS)
> assert energies.shape == expected_shape, f"energies shape {energies.shape} != {expected_shape}"
E AssertionError: energies shape (16, 4, 65) != (16, 65, 4)
E assert (16, 4, 65) == (16, 65, 4)
E
E At index 1 diff: 4 != 65
E
E Full diff:
E (
E 16,
E + 4,...
E
E ...Full output truncated (3 lines hidden), use '-vv' to show
/verifier/test_outputs.py:113: AssertionError
____________ test_universal_observables_match_independent_reference ____________
def test_universal_observables_match_independent_reference():
rows = read_csv(
ROOT / "universal_observables.csv",
UNIVERSAL_HEADER,
len(CAMPAIGN["universal"]["ratio_grid"]),
)
reference = universal_reference()[2]
np.testing.assert_allclose(rows[:, 0], reference[:, 0], atol=0)