text string |
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============================= 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 10 items |
::test_frozen_agent_inputs_are_untampered PASSED [ 10%] |
::test_result_has_exact_blind_shot_set PASSED [ 20%] |
::test_calibration_within_declared_bounds_and_recovered FAILED [ 30%] |
::test_calibration_reproduces_all_known_flux_shots FAILED [ 40%] |
::test_arrays_are_well_formed_and_on_the_supplied_grid PASSED [ 50%] |
::test_reported_forward_histories_match_independent_solver FAILED [ 60%] |
::test_blind_sensor_residuals_are_at_the_noise_floor FAILED [ 70%] |
::test_flux_histories_match_withheld_injections PASSED [ 80%] |
::test_flux_energy_and_peak_are_recovered_and_self_consistent PASSED [ 90%] |
::test_summary_is_consistent PASSED [100%] |
=================================== FAILURES =================================== |
____________ test_calibration_within_declared_bounds_and_recovered _____________ |
def test_calibration_within_declared_bounds_and_recovered(): |
calibration = reported_calibration() |
vector = np.array( |
[ |
calibration["conductivity_scale"], |
calibration["depth_offset_m"], |
*calibration["sensor_time_constants_s"], |
], |
dtype=float, |
) |
bounds = CONFIG["calibration_bounds"] |
lower = np.array( |
[ |
bounds["conductivity_scale"][0], |
bounds["depth_offset_m"][0], |
bounds["sensor_time_constants_s"][0][0], |
bounds["sensor_time_constants_s"][1][0], |
] |
) |
upper = np.array( |
[ |
bounds["conductivity_scale"][1], |
bounds["depth_offset_m"][1], |
bounds["sensor_time_constants_s"][0][1], |
bounds["sensor_time_constants_s"][1][1], |
] |
) |
assert np.all(vector >= lower) and np.all(vector <= upper) |
assert abs(vector[0] - CAL_TRUE[0]) <= 0.05, "conductivity scale not calibrated" |
> assert abs(vector[1] - CAL_TRUE[1]) <= 5.0e-5, "sensor depth offset not calibrated" |
E AssertionError: sensor depth offset not calibrated |
E assert 0.00020131687432589887 <= 5e-05 |
E + where 0.00020131687432589887 = abs((-4.131687432589886e-05 - 0.00016)) |
/verifier/test_outputs.py:160: AssertionError |
_______________ test_calibration_reproduces_all_known_flux_shots _______________ |
def test_calibration_reproduces_all_known_flux_shots(): |
calibration = reported_calibration() |
t_s = CALIBRATION_DATA["t_s"].astype(float) |
measured = CALIBRATION_DATA["temperature_K"].astype(float) |
known_flux = CALIBRATION_DATA["known_flux_W_m2"].astype(float) |
noise = CALIBRATION_DATA["noise_std_K"].astype(float) |
predictions = [] |
for q in known_flux: |
prediction, _ = simulate(t_s, q, CONFIG, calibration, nx=83, cfl=0.31) |
predictions.append(prediction) |
predictions = np.asarray(predictions) |
rms = float(np.sqrt(np.mean((predictions - measured) ** 2))) |
> assert rms <= CALIBRATION_RMS_RATIO_MAX * float(np.mean(noise)) |
E assert 0.7050637831255921 <= (2.2 * 0.0575) |
E + where 0.0575 = float(0.0575) |
E + where 0.0575 = <function mean at 0x7b6f1dbe52b0>(array([0.05 , 0.065])) |
E + where <function mean at 0x7b6f1dbe52b0> = np.mean |
/verifier/test_outputs.py:177: AssertionError |
___________ test_reported_forward_histories_match_independent_solver ___________ |
def test_reported_forward_histories_match_independent_solver(): |
for index, shot_id in enumerate(SHOT_IDS): |
_, _, _, surface, predicted = shot_entry(shot_id) |
reference_sensor, reference_surface = reference_forward(index) |
> assert np.sqrt(np.mean((predicted - reference_sensor) ** 2)) <= 0.12, ( |
f"{shot_id}: predicted_sensor_K is not from the reported model and flux" |
) |
E AssertionError: blind_01: predicted_sensor_K is not from the reported model and flux |
E assert 0.5289649795657164 <= 0.12 |
E + where 0.5289649795657164 = <ufunc 'sqrt'>(0.2798039496069588) |
E + where <ufunc 'sqrt'> = np.sqrt |
E + and 0.2798039496069588 = <function mean at 0x7b6f1dbe52b0>(((array([[293.15 , 293.15 , 293.15 , 293.15 ,\n 293.15 , 293.15 , 293.15 , 293.15 ,\n 293.15 , 293.15 , 293.15008188, 293.15061247,\n 293.15226866, 293.15587938, 293.1622... |
E + where <function mean at 0x7b6f1dbe52b0> = np.mean |
/verifier/test_outputs.py:204: AssertionError |
______________ test_blind_sensor_residuals_are_at_the_noise_floor ______________ |
def test_blind_sensor_residuals_are_at_the_noise_floor(): |
measured = BLIND_DATA["temperature_K"].astype(float) |
for index, shot_id in enumerate(SHOT_IDS): |
entry, _, _, _, _ = shot_entry(shot_id) |
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