text stringclasses 308
values |
|---|
summary = artifacts["nonaffine_summary"] |
residue_key = np.asarray(fixture["residue_key"]) |
count = residue_key.size |
quadratic_signal = np.asarray(arrays["quadratic_signal_rms"]) |
residual_reduction = np.asarray( |
arrays["residual_reduction_fraction"] |
) |
ordering = sorted( |
range(count), |
key=lambda index: ( |
-float(quadratic_signal[index]), |
str(residue_key[index]), |
), |
) |
expected_top = [ |
str(residue_key[index]) |
for index in ordering[: min(TOP_K, count)] |
] |
expected = { |
"model_radius_angstrom": float(reference["model_radius_angstrom"]), |
"model_radius_multiplier": NONAFFINE_RADIUS_MULTIPLIER, |
"nonaffine_reduction_threshold": NONAFFINE_REDUCTION_THRESHOLD, |
"residue_count": count, |
"directed_edge_count": int(reference["directed_edge_count"]), |
"minimum_neighbor_count": int( |
np.min(arrays["model_neighbor_count"]) |
), |
"maximum_neighbor_count": int( |
np.max(arrays["model_neighbor_count"]) |
), |
"minimum_quadratic_design_rank": int( |
np.min(arrays["quadratic_design_rank"]) |
), |
"maximum_quadratic_design_condition": float( |
np.max(arrays["quadratic_design_condition"]) |
), |
"median_first_order_rms_residual": float( |
np.median(arrays["first_order_rms_residual"]) |
), |
"median_second_order_rms_residual": float( |
np.median(arrays["second_order_rms_residual"]) |
), |
"median_quadratic_signal_rms": float( |
np.median(quadratic_signal) |
), |
"median_residual_reduction_fraction": float( |
np.median(residual_reduction) |
), |
"fraction_residual_reduction_above_threshold": float( |
np.mean( |
residual_reduction > NONAFFINE_REDUCTION_THRESHOLD |
) |
), |
"top_nonaffine_residue_keys": expected_top, |
} |
for key in ( |
"model_radius_angstrom", |
"model_radius_multiplier", |
"nonaffine_reduction_threshold", |
"maximum_quadratic_design_condition", |
"median_first_order_rms_residual", |
"median_second_order_rms_residual", |
"median_quadratic_signal_rms", |
"median_residual_reduction_fraction", |
"fraction_residual_reduction_above_threshold", |
): |
assert math.isclose( |
float(summary[key]), |
float(expected[key]), |
rel_tol=2e-9, |
abs_tol=2e-11, |
) |
for key in ( |
"residue_count", |
"directed_edge_count", |
"minimum_neighbor_count", |
"maximum_neighbor_count", |
"minimum_quadratic_design_rank", |
): |
assert int(summary[key]) == int(expected[key]) |
> assert summary["top_nonaffine_residue_keys"] == expected_top |
E AssertionError: assert ['H-413DE2D90...F3-R003', ...] == ['H-413DE2D90...F3-R003', ...] |
E |
E At index 0 diff: 'H-413DE2D906F3-R076' != 'H-413DE2D906F3-R064' |
E |
E Full diff: |
E [ |
E + 'H-413DE2D906F3-R076', |
E 'H-413DE2D906F3-R064',... |
E |
E ...Full output truncated (34 lines hidden), use '-vv' to show |
test_outputs.py:1150: AssertionError |
==================================== PASSES ==================================== |
=========================== short test summary info ============================ |
PASSED ../../app::test_runtime_input_contract_and_output_schema |
PASSED ../../app::test_public_neighborhood_and_tensors_match_independent_recompute |
PASSED ../../app::test_finite_strain_invariants_and_transition_diagnostics |
PASSED ../../app::test_public_shape_and_key_special_case_is_rejected |
PASSED ../../app::test_submitted_executable_rejects_rank_deficient_input |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.