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============================= test session starts ==============================
platform linux -- Python 3.12.11, pytest-8.4.1, pluggy-1.6.0 -- /usr/local/bin/python3
rootdir: /verifier
collecting ... collected 6 items
test_outputs.py::test_isolated_runner_uses_read_only_staging_and_drops_privileges PASSED [ 16%]
test_outputs.py::test_nominal_artifacts_solver_and_declared_schema FAILED [ 33%]
test_outputs.py::test_nominal_fields_and_fourier_spectra_match_independent_recomputation PASSED [ 50%]
test_outputs.py::test_nominal_plane_wave_table_and_residual_summary_are_correct FAILED [ 66%]
test_outputs.py::test_nominal_components_obey_normalization_formula_and_fft_conventions PASSED [ 83%]
test_outputs.py::test_submitted_solver_generalizes_to_hidden_crop_and_alternate_configuration FAILED [100%]
=================================== FAILURES ===================================
______________ test_nominal_artifacts_solver_and_declared_schema _______________
def test_nominal_artifacts_solver_and_declared_schema() -> None:
require_regular_file(SOLVER, "reusable /root/analyze_stm.py")
> assert_bundle_schema(nominal_bundle())
test_outputs.py:884:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
bundle = Bundle(output_directory=PosixPath('/root'), configuration_path=PosixPath('/root/data/reconstruction_config.json'), con...'kx_inv_angstrom': 0.014776646639964398, 'ky_inv_angstrom': 0.09267977920125965, 'magnitude': 0.010486474055700832}]}})
def assert_bundle_schema(bundle: Bundle) -> None:
outputs = bundle.configuration["outputs"]
expected_keys = set(outputs["npz_keys"])
assert set(bundle.arrays) == expected_keys
shape = tuple(int(value) for value in bundle.configuration["map"]["shape_yx"])
y_count, x_count = shape
assert bundle.arrays["x_angstrom"].shape == (x_count,)
assert bundle.arrays["y_angstrom"].shape == (y_count,)
assert bundle.arrays["fft_kx_inv_angstrom"].shape == (x_count,)
assert bundle.arrays["fft_ky_inv_angstrom"].shape == (y_count,)
assert bundle.arrays["moire_reciprocal_basis_inv_angstrom"].shape == (
2,
2,
)
assert bundle.arrays["moire_real_basis_angstrom"].shape == (2, 2)
for key in MAP_KEYS:
assert (
bundle.arrays[key].shape == shape
), f"{key} shape is {bundle.arrays[key].shape}"
for key, values in bundle.arrays.items():
assert values.dtype.kind in {"f", "i", "u"}
assert np.isfinite(values).all(), f"{key} contains nonfinite values"
assert set(bundle.summary) == SUMMARY_KEYS
assert bundle.summary["schema_version"] == outputs["summary_schema_version"]
assert bundle.summary["input_shape_yx"] == list(shape)
assert set(bundle.summary["moire_supercell"]) == set(
outputs["summary_contract"]["moire_supercell_fields"]
)
counts = bundle.summary["plane_wave_counts"]
> assert set(counts) == {"layer_a", "layer_b", "moire"}
E AssertionError: assert {'layer_a', 'layer_b'} == {'layer_a', '...r_b', 'moire'}
E
E Extra items in the right set:
E 'moire'
E
E Full diff:
E {
E 'layer_a',...
E
E ...Full output truncated (3 lines hidden), use '-vv' to show
test_outputs.py:235: AssertionError
________ test_nominal_plane_wave_table_and_residual_summary_are_correct ________
def test_nominal_plane_wave_table_and_residual_summary_are_correct() -> None:
bundle = nominal_bundle()
reference = nominal_reference()
> assert_record_agreement(
bundle.records,
reference.records,
tuple(bundle.configuration["outputs"]["csv_key_columns"]),
)
test_outputs.py:894:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
actual = ({'amplitude_before_normalization': 0.19212149027787226, 'amplitude_normalized': 0.17511195687748599, 'component': 'la...amplitude_normalized': 0.25509299017573656, 'component': 'layer_b', 'kx_inv_angstrom': -0.20365547074114232, ...}, ...)
expected = ({'amplitude_before_normalization': 0.19212149029545478, 'amplitude_normalized': 0.17511195262056442, 'component': 'la...amplitude_normalized': 0.25509298298627137, 'component': 'layer_b', 'kx_inv_angstrom': -0.20365547070845982, ...}, ...)
key_columns = ('component', 'm', 'n', 'p', 'q')
def assert_record_agreement(
actual: tuple[dict[str, object], ...],
expected: tuple[dict[str, object], ...],
key_columns: tuple[str, ...],
) -> None:
assert len(actual) == len(expected)
actual_by_key = records_by_physical_key(actual, key_columns, "submitted CSV")
expected_by_key = records_by_physical_key(
expected,
key_columns,
"reference CSV",
)
> assert set(actual_by_key) == set(expected_by_key), "CSV physical-key set differs from the independent reconstruction"
E AssertionError: CSV physical-key set differs from the independent reconstruction
E assert {('layer_a', ..., 0, -1), ...} == {('layer_a', ... '', ''), ...}
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