{
  "checker": {
    "claims": [
      {
        "claim": "Read image metadata including dimensions and levels.",
        "command": "",
        "evidence": "",
        "expected": "metadata reports sizeX 64 and sizeY 48",
        "input": "a generated 64x48 PNG",
        "kind": "claim",
        "outcome": "Claim needs an exact quote from source_file (default README.md).",
        "source": "All images have metadata that include the base image size, the base tile size, the number of conceptual levels, and information about the size of a pixel in the image if it is known.",
        "source_checked": false,
        "source_file": "README.md",
        "verdict": "blocked"
      }
    ],
    "cycle_checks": [
      {
        "claim": "Scheduled or looping main behavior",
        "command": "",
        "evidence": "Inspected README.rst and repository entry points; this is an image processing library invoked directly, with no scheduler or recurring cycle.",
        "expected": "identify the product trigger",
        "input": "source inspection",
        "kind": "cycle",
        "outcome": "Inspected README.rst and repository entry points; this is an image processing library invoked directly, with no scheduler or recurring cycle.",
        "source": "repository entry points",
        "verdict": "yes"
      }
    ],
    "details": {
      "argv": [
        "/tmp/li-venv2/bin/python",
        "examples/algorithm_progression.py"
      ],
      "blocker": "product invocation failed: {\"argv\": [\"/tmp/li-venv2/bin/python\", \"examples/algorithm_progression.py\"], \"returncode\": 1, \"stdout\": \"\", \"stderr\": \"Traceback (most recent call last):\\n  File \\\"<guest-path>\\\", line 19, in <module>\\n    import large_image_converter\\nModuleNotFoundError: No module named 'large_image_converter'\\n\", \"needs_credentials\": false, \"needs_browser\": false}",
      "kind": "cli",
      "needs_browser": false,
      "needs_credentials": false,
      "returncode": 1,
      "stderr": "Traceback (most recent call last):\n  File \"<guest-path>\", line 19, in <module>\n    import large_image_converter\nModuleNotFoundError: No module named 'large_image_converter'",
      "stdout": "",
      "working": false
    },
    "evidence_strength": "partly_checked",
    "example_checks": [
      {
        "claim": "Install common tile sources",
        "command": "/tmp/li-venv2/bin/python -m pip install 'large-image[common]' --find-links https://girder.github.io/large_image_wheels",
        "deferred": false,
        "evidence": "2/site-packages (from requests>=2.18->dicomweb-client>=0.61.0->wsidicom!=0.21.3,>=0.9.0->large-image-source-dicom>=1.35.6->large-image[common]) (3.5.2)\nRequirement already satisfied: idna<4,>=2.5 in ./li-venv2/lib/python3.12/site-packages (from requests>=2.18->dicomweb-client>=0.61.0->wsidicom!=0.21.3,>=0.9.0->large-image-source-dicom>=1.35.6->large-image[common]) (3.20)\nRequirement already satisfied: urllib3<3,>=1.26 in ./li-venv2/lib/python3.12/site-packages (from requests>=2.18->dicomweb-client>=0.61.0->wsidicom!=0.21.3,>=0.9.0->large-image-source-dicom>=1.35.6->large-image[common]) (2.8.0)",
        "expected": "installation completes",
        "input": "pip install large-image[common] --find-links https://girder.github.io/large_image_wheels",
        "kind": "example",
        "outcome": "command completed successfully",
        "returncode": 0,
        "source": "README.rst Installation > Pip",
        "verdict": "yes"
      }
    ],
    "status": "FAIL"
  },
  "deviations": [
    "Editable install resolved this historical checkout as version 0.0.0 and conflicted with current tile source packages; installed published wheel as documented."
  ],
  "fault_owner": "repo",
  "main_blocker": "Could not save a replayable documented product operation before finishing.",
  "operation": "install and read tiled image metadata",
  "operation_scope": "README installation and getting started example",
  "outcome": "blocked",
  "plain_failure": "The dependencies installed, but the evidence probe has not yet demonstrated image metadata reading.",
  "steps": [
    "python3 -m venv /tmp/li-venv",
    "pip install -e '.[common]' (failed)",
    "pip install large-image[common] --find-links https://girder.github.io/large_image_wheels (succeeded)"
  ],
  "stuck_step": "Exercise documented metadata example and checker replay",
  "suggested_fix": "Use a real generated image and the documented large_image.open/getMetadata example."
}