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ANTI_TAMPER: verifier integrity preflight passed |
============================= test session starts ============================== |
platform linux -- Python 3.12.13, pytest-8.4.2, pluggy-1.6.0 -- /usr/local/bin/python3 |
rootdir: /root |
configfile: ../dev/null |
plugins: json-ctrf-0.3.5 |
collecting ... collected 10 items |
../root::test_artifacts_parse_and_have_declared_schemas FAILED [ 10%] |
../root::test_transient_window_and_interval_counts PASSED [ 20%] |
../root::test_all_channel_interval_statistics_match_independent_reduction PASSED [ 30%] |
../root::test_background_subtraction_uncertainty_and_fit_membership FAILED [ 40%] |
../root::test_weighted_tail_fit_matches_independent_solution FAILED [ 50%] |
../root::test_bootstrap_trace_and_reported_interval_are_reproducible PASSED [ 60%] |
../root::test_transient_tail_has_the_expected_physical_structure PASSED [ 70%] |
../root::test_scientific_figure_matches_submitted_series_fit_and_band FAILED [ 80%] |
../root::test_figure_contract_accepts_flexible_wording_and_dimensions PASSED [ 90%] |
../root::test_adversarial_figure_shortcuts_are_rejected FAILED [100%] |
=================================== FAILURES =================================== |
________________ test_artifacts_parse_and_have_declared_schemas ________________ |
def test_artifacts_parse_and_have_declared_schemas() -> None: |
analysis, slopes, report = load_submission() |
reference = independent_reference() |
assert len(analysis) == len(reference["rows"]) == 138 |
assert list(analysis[0]) == ANALYSIS_COLUMNS |
assert len(slopes) == reference["events"]["precursor"]["fit"]["bootstrap_iterations"] |
assert list(slopes[0]) == [ |
"iteration", |
"precursor_spectral_index_p", |
"primary_spectral_index_p", |
"delta_p_second_minus_first", |
] |
assert [int(row["iteration"]) for row in slopes] == list(range(len(slopes))) |
assert report["schema_version"] == "1.0" |
assert set(report) == { |
"schema_version", |
"events", |
"comparison", |
"curvature", |
} |
assert set(report["events"]) == set(EVENT_IDS) |
for event_id in EVENT_IDS: |
event_report = report["events"][event_id] |
assert set(event_report) == {"transient_window", "fit"} |
assert set(event_report["transient_window"]) == { |
"center_utc", |
"start_utc", |
"end_utc", |
} |
assert set(event_report["fit"]) == FIT_FIELDS |
assert all( |
math.isfinite(float(row[f"{event_id}_spectral_index_p"])) |
for row in slopes |
) |
assert set(report["comparison"]) == { |
"first_event_id", |
"second_event_id", |
"delta_definition", |
"n_common_points", |
"delta_p_second_minus_first", |
"delta_gls_p_second_minus_first", |
"delta_method_shift", |
"bootstrap_median_delta_p", |
"bootstrap_ci95_low_delta_p", |
"bootstrap_ci95_high_delta_p", |
"bootstrap_probability_delta_positive", |
} |
assert all( |
math.isfinite(float(row["delta_p_second_minus_first"])) |
for row in slopes |
) |
curvature = read_csv(ROOT / "curvature_profile.csv") |
assert curvature |
assert list(curvature[0]) == CURVATURE_COLUMNS |
assert len(curvature) == ( |
reference["curvature"]["candidate_count"] |
+ reference["curvature"]["loo_count"] |
) |
assert set(report["curvature"]) == { |
"event_id", |
"candidate_count", |
"best_break_energy_kev", |
"spectral_index_below", |
"spectral_index_above", |
"log10_intensity_at_break", |
"chi_square", |
"reduced_chi_square", |
"aicc", |
"single_power_law_aicc", |
"delta_aicc_broken_minus_single", |
"loo_count", |
"loo_break_median_kev", |
"loo_break_min_kev", |
"loo_break_max_kev", |
"loo_softening_fraction", |
} |
> image, manifest = load_figure() |
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