{
  "date": "2026-10-13",
  "scope": "San Francisco Bay Area software demos; paper inputs and Word untouched; frozen benchmark unchanged",
  "python": "3.12.2",
  "platform": "Linux",
  "packages": {
    "numpy": "2.4.6",
    "pandas": "3.0.3",
    "torch": "2.12.0",
    "scikit-learn": "1.8.0",
    "nbclient": "0.10.2",
    "matplotlib": "3.10.9",
    "rasterio": "1.5.0"
  },
  "unit_tests": {
    "tests": 695.0,
    "failures": 0.0,
    "errors": 0.0,
    "skipped": 2.0,
    "time": 19.787
  },
  "skipped": [
    {
      "type": "pytest.skip",
      "message": "No GPU/MPS available on this machine"
    },
    {
      "type": "pytest.skip",
      "message": "MPS not available on this machine"
    }
  ],
  "checks": {
    "ruff_check_src": "passed",
    "ruff_format_src": "passed",
    "mkdocs_strict": "passed",
    "wheel": {
      "status": "passed",
      "sha256": "700c0fc2bea72066f9aeb45fc0ab46824472f99df645c1437ad3287b356b9c02",
      "bytes": 1347798,
      "data_shape": [
        5933,
        64
      ],
      "checks": [
        "installed wheel import",
        "all payload hashes",
        "ID alignment",
        "regional classifier",
        "superseded demos absent"
      ]
    },
    "notebooks": "demo-notebooks.json",
    "real_integrations": "demo-live.json",
    "downstream": "../assets/demos/classification-metrics.json"
  },
  "sources": "Bundled rs_embed/data/demos/bayarea/manifest.json records all official URLs, pixel hashes, payload hashes and attribution.",
  "environment_notes": [
    "The first Linux test invocation inherited incompatible Conda PROJ paths and had three CRS failures. Rerun with PROJ_LIB/PROJ_DATA unset passed. No coordinate validation was bypassed.",
    "Build and hatchling modules were absent in the runtime environment; pip wheel with an isolated build environment succeeded.",
    "Final notebook run sets OMP_NUM_THREADS=1 and OPENBLAS_NUM_THREADS=1; each notebook has a fresh kernel."
  ],
  "limitations": [
    "CPU validated; GPU inference not tested.",
    "One fixed regional holdout, no confidence interval or global accuracy claim.",
    "Four classes, with only nine cropland training cells; two bare cells excluded.",
    "AEF overview support is 1280m, not native 10m. Reference labels aggregate native WorldCover pixel centers within matching polygons.",
    "COG HTTP transfer was not metered; first online latency depends on network."
  ]
}