| { |
| "scope": "deterministic integrity comparison of existing data; no AL, docking, model training, or cache replacement", |
| "cache_sha256": "10b4a50f5cfc3de000ab06d0b8112146486e63571ad9db252455dd5af3976a91", |
| "raw_id_index_sha256": "7e265af1318119a7c8e2086fbf4bc2786143d825b68479e6bd83ede46e4bf294", |
| "ligand_sha256": "ad74c18a2560f0c4577a045c22582ce37a1d1827ec05bce48bd1cd1111c54b0c", |
| "producer_reference": "dal_toolbox_design2/run_dal_toolbox_design2.py functions normalize_features, random_project, load_ligand_features, pooled_graph_feature, build_complex_features", |
| "shape": [ |
| 3179, |
| 256 |
| ], |
| "numpy_version": "2.3.5", |
| "projection_seed": 0, |
| "absolute_tolerance": 2e-05, |
| "relative_tolerance": 2e-05, |
| "maximum_absolute_difference": 2.193450927734375e-05, |
| "root_mean_square_difference": 2.3208026557708418e-06, |
| "matching_values": 813824, |
| "total_values": 813824, |
| "matching_rows": 3179, |
| "total_rows": 3179, |
| "bitwise_numeric_equal": false, |
| "passed": true, |
| "note": "NumPy float32 node pooling can differ in rounding from original PyTorch pooling; all comparisons are explicitly quantified.", |
| "elapsed_seconds": 8.6, |
| "packaged_producer_excerpt": "provenance/historical_acquisition_source/feature_builder_excerpt.py.txt", |
| "packaged_producer_provenance": "provenance/historical_acquisition_source/feature_builder_provenance.json" |
| } |
|
|
