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{
  "schema_version": 1,
  "validated_utc": "2026-10-31T05:20:35.239078+00:00",
  "scope": "Publication packaging verification; not a reproduction of scientific experiments",
  "environment": {
    "python": "3.12.14",
    "platform": "macOS-26.5-arm64-arm-64bit",
    "packages": {
      "numpy": "2.3.5",
      "pandas": "2.2.3",
      "scipy": "1.18.1",
      "scikit-learn": "1.9.1",
      "joblib": "1.6.0",
      "threadpoolctl": "3.7.0",
      "cloudpickle": "3.1.2",
      "narwhals": "2.28.0"
    }
  },
  "historical_training_environment_recovered": false,
  "synthetic_tests": {
    "command": "python -m unittest discover -s code/acquisition/tests -v",
    "passed": 12,
    "failed": 0,
    "fits_or_acquisition_loops": 0
  },
  "real_input_audit": {
    "command": "python code/acquisition/audit_inputs.py",
    "status": "pass",
    "complexes": 3179,
    "algorithms": 7,
    "combined_features": 260,
    "held_out_fold_sizes": [
      636,
      636,
      636,
      636,
      635
    ],
    "feature_id_validation": "Exact ordered match to the independently verified ID file packaged by the data audit"
  },
  "cli_help_checks": [
    {
      "script": "run_experiment.py",
      "status": "pass"
    },
    {
      "script": "launch_all.py",
      "status": "pass"
    },
    {
      "script": "audit_inputs.py",
      "status": "pass"
    },
    {
      "script": "finalize_audit.py",
      "status": "pass"
    },
    {
      "script": "summarize_results.py",
      "status": "pass"
    }
  ],
  "new_experiments_executed": false,
  "source_sha256": {
    "audit_inputs.py": "5000f720e70da4fb0f7ad224e8f62ab59385a5945be897e67e8b025a0ce908ad",
    "finalize_audit.py": "62fb897e79b428caafccb743196fc67ff273d8f4eb3ce86b8305e545782df3a5",
    "formula_tests.py": "ce8f88d712276a97c0577c04730a176efe888a4e63aa0815cdcc3315f3a0c9cc",
    "launch_all.py": "a7c343c6179dd1d88ef7faaa2b504f4718d85efd055da82a14e9f1503635bc48",
    "release_support.py": "f99a153f723361635b870ba541af61e48e2cb74fd9c6a80d4ca7a09802853c47",
    "run_experiment.py": "b4aae3bf68b13f19e6255ea24d6c39d375da01c8c7fcfce5e3eb58c3bc9bd682",
    "summarize_results.py": "993934b442882b2f44d4867602b095742e91a06f994cffce3b427d2d84fa7d6d",
    "tests/test_release.py": "93f3928d6fc17b114decc12159073eb21fa401d932c4e1edee73f13d140588eb"
  }
}