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{
  "status": "passed",
  "python": "3.12.13",
  "runtime_packages": {
    "torch": "2.14.1",
    "torch-geometric": "2.8.1",
    "rdkit": "2025.3.6",
    "numpy": "1.26.4",
    "pandas": "2.3.3",
    "scipy": "1.15.3",
    "scikit-learn": "1.7.2",
    "safetensors": "0.8.0",
    "huggingface-hub": "2.2.0"
  },
  "tensor_identical_conversion": true,
  "strict_load": true,
  "source_input_parity": true,
  "source_embedding_max_absolute_error": 1.932680606842041e-05,
  "encoder_parameters": 93089496,
  "embedding_shape": [
    7,
    768
  ],
  "stereo_controls": {
    "enantiomer_relative_l2": 0.02647089585661888,
    "ez_relative_l2": 0.034076862037181854
  },
  "randomized_smiles_relative_l2_max": 3.4795434089573973e-07,
  "tiny_adaptation_smokes": {
    "regression": {
      "method": "frozen",
      "train_rows": 8,
      "valid_rows": 4,
      "epochs": 1,
      "save_reload_exact": true,
      "benchmark_result": false
    },
    "binary": {
      "method": "full",
      "train_rows": 8,
      "valid_rows": 4,
      "epochs": 1,
      "save_reload_exact": true,
      "benchmark_result": false
    }
  },
  "loader_tests": "31 tests passed: legacy, A2 and A3 encoder/readout, adaptation, schema and save-reload checks. Pytest temporary files were directed to the workspace.",
  "scope": "Installed-wheel CPU checks with real A3 weights and tiny fits; no new downstream benchmark or GPU benchmark.",
  "documented_example_passed": true
}