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E [0.076508, 0.041658, 0.08876 ],
E [0.042119, 0.051696, 0.101616],...
E y: array([[[0.08824 , 0.132384, 0.04039 ],
E [0.076508, 0.041658, 0.08876 ],
E [0.042119, 0.051696, 0.101616],...
/usr/local/lib/python3.12/contextlib.py:81: AssertionError
________________ test_conditional_peaks_and_predictive_summary _________________
def test_conditional_peaks_and_predictive_summary() -> None:
reference = independent_conditional_information_reference()
submitted = submitted_conditional_information()
report = load_strict_json(ROOT / "predictive_information_report.json")
peak_indices = np.argmax(reference, axis=0)
expected_peak_lags = CMI_LAGS_SECONDS[peak_indices]
expected_peak_values = np.take_along_axis(
reference,
peak_indices[np.newaxis, :, :],
axis=0,
)[0]
np.testing.assert_array_equal(
integral_seconds(
submitted["peak_lag_seconds"],
"conditional peak_lag_seconds",
),
expected_peak_lags,
)
> np.testing.assert_allclose(
submitted["peak_cmi_nats"],
expected_peak_values,
rtol=CMI_RTOL,
atol=CMI_ATOL,
)
test_outputs.py:1010:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7dd20b4b60c0>, array([[0.13878917, 0.25345041, 0.10233613],
[0...1, 0.2113681 , 0.25919535],
[0.34851255, 0.29603205, 0.26263958],
[0.16440157, 0.17772146, 0.18180329]]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=2e-10, atol=2e-10', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
^^^^^^^^^^^^^^^^^^^
E AssertionError:
E Not equal to tolerance rtol=2e-10, atol=2e-10
E
E Mismatched elements: 35 / 318 (11%)
E Max absolute difference: 0.00186373
E Max relative difference: 0.09462778
E x: array([[0.138789, 0.25345 , 0.102336],
E [0.132651, 0.108712, 0.0996 ],
E [0.102521, 0.071527, 0.133099],...
E y: array([[0.138789, 0.25345 , 0.102336],
E [0.132651, 0.108712, 0.0996 ],
E [0.102521, 0.071527, 0.133099],...
/usr/local/lib/python3.12/contextlib.py:81: AssertionError
==================================== PASSES ====================================
=========================== short test summary info ============================
PASSED ../root::test_prediction_alignment_and_persistence
PASSED ../root::test_forecast_matches_independent_svd_ridge
PASSED ../root::test_serialized_model_is_correct_and_reproduces_predictions
PASSED ../root::test_forecast_report_metrics_are_recomputed_correctly
PASSED ../root::test_information_tensor_matches_independent_knn_recomputation
PASSED ../root::test_hidden_adversarial_lag_and_overlap_probes
FAILED ../root::test_artifact_schema_and_source_protocol - assert False
FAILED ../root::test_peak_arrays_rankings_and_memory_metrics - KeyError: 'for...
FAILED ../root::test_conditional_information_matches_independent_frenzel_pompe_recomputation
FAILED ../root::test_conditional_peaks_and_predictive_summary - AssertionError:
=================== 4 failed, 6 passed in 245.46s (0:04:05) ====================
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_artifact_schema_and_source_protocol FAILED [ 10%]
../root::test_prediction_alignment_and_persistence FAILED [ 20%]
../root::test_forecast_matches_independent_svd_ridge FAILED [ 30%]
../root::test_serialized_model_is_correct_and_reproduces_predictions FAILED [ 40%]
../root::test_forecast_report_metrics_are_recomputed_correctly FAILED [ 50%]
../root::test_information_tensor_matches_independent_knn_recomputation FAILED [ 60%]
../root::test_peak_arrays_rankings_and_memory_metrics FAILED [ 70%]
../root::test_conditional_information_matches_independent_frenzel_pompe_recomputation FAILED [ 80%]
../root::test_conditional_peaks_and_predictive_summary FAILED [ 90%]
../root::test_hidden_adversarial_lag_and_overlap_probes FAILED [100%]
=================================== FAILURES ===================================
___________________ test_artifact_schema_and_source_protocol ___________________
def test_artifact_schema_and_source_protocol() -> None:
forecast_reference = independent_forecast_reference()