{
  "checker": {
    "claims": [
      {
        "claim": "Convert images to tiled pyramidal tiffs",
        "command": "<guest-path> --verbose --tile 64 <guest-path> <guest-path>",
        "evidence": "Created <guest-path>, 31894 bytes, 2.4 s\n",
        "expected": "tiled pyramidal tiff written at the destination",
        "input": "<guest-path>",
        "kind": "claim",
        "outcome": "Real input produced the expected result: Created <guest-path>,",
        "returncode": 0,
        "source": "Convert to tiled Cloud Optimized (Geo)Tiffs (also known as pyramidal tiffs)",
        "source_checked": true,
        "source_file": "README.rst",
        "verdict": "yes"
      },
      {
        "claim": "Single-image non-geospatial files become pyramidal tiff via pyvips",
        "command": "<guest-path> --verbose --tile 64 <guest-path> <guest-path>",
        "evidence": "Created <guest-path>, 31894 bytes, 2.6 s\n",
        "expected": "pyramidal tiff written at the destination",
        "input": "<guest-path>",
        "kind": "claim",
        "outcome": "Real input produced the expected result: Created <guest-path>,",
        "returncode": 0,
        "source": "Single-image non-geospatial files are converted into pyramidal tiff files via pyvips.",
        "source_checked": true,
        "source_file": "utilities/converter/README.rst",
        "verdict": "yes"
      }
    ],
    "cycle_checks": [
      {
        "claim": "Scheduled or looping main behavior",
        "command": "",
        "evidence": "Inspected README.rst and utilities/converter/README.rst and the converter entry point (large_image_converter = large_image_converter.__main__:main). No cron, scheduler, polling loop, webhook, --once or --now behavior is documented; the converter runs once per invocation and exits.",
        "expected": "identify the product trigger",
        "input": "source inspection",
        "kind": "cycle",
        "outcome": "Inspected README.rst and utilities/converter/README.rst and the converter entry point (large_image_converter = large_image_converter.__main__:main). No cron, scheduler, polling loop, webhook, --once or --now behavior is documented; the converter runs once per invocation and exits.",
        "source": "repository entry points",
        "verdict": "yes"
      }
    ],
    "details": {
      "argv": [
        "<guest-path>",
        "--verbose",
        "--tile",
        "64",
        "<guest-path>",
        "<guest-path>"
      ],
      "kind": "cli",
      "needs_browser": false,
      "needs_credentials": false,
      "returncode": 0,
      "scope": "product operation",
      "stderr": "Cannot import GDAL.\nInput: <guest-path>, Output: /tmp/tmpr85r1z08/probe_K_tiled.tiff-20261027-144823.tiff, Options: {'tile': True, 'tile_width': 64, 'tile_height': 64, 'pyramid': True, 'bigtiff': True, 'compression': 'lzw', 'Q': 90, 'predictor': 'horizontal'}\nCreated <guest-path>, 31894 bytes, 2.5 s",
      "stdout": "",
      "working": true
    },
    "evidence_strength": "readme_checked",
    "example_checks": [
      {
        "claim": "Quickstart: convert an image to a tiled tiff given the source and an output path",
        "command": "<guest-path> <guest-path> <guest-path>",
        "deferred": false,
        "evidence": "\b\ufffd6\ufffd\ufffd\ufffdb`\ufffd\ufffdy\ufffd\ufffd\u0000\u001d\ufffd1\ufffd\b.5\ufffd)j\ufffd8C\ufffdN\b\ufffd@\u0003\ufffd\u00100\ufffdEB\u000e\ufffdT\u0000\u0004\ufffd\u000f\ufffd\u0006\u0015\ufffd\u001c\ufffdE[\ufffd>\ufffd\tY\ufffd\u000e \u0011\ufffd\ufffd;\u0000\ufffd\u0014A`\ufffda\ufffd-\ufffd\ufffdQ\ufffd\ufffdSI\u0010\ufffd\ufffd\u6b4b\u001e\ufffdcX\ufffd\ufffd\ufffd{\r\ufffd\ufffd\ufffd-&/Cn\u000b\ufffdU\u0000@\ufffd\u00028\u0007\u00018\b\u0002!\t-1\ufffdS\u0018\u0686\ufffd\u0702\ufffd\ufffdj\ufffd\ufffdl^\ufffdln\ufffdl~\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdl\ufffd\ufffdm\u000e\ufffdm\u001e\ufffdm.\ufffdm>\ufffdmN\ufffdm^\ufffdmn\ufffdm~\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdm\ufffd\ufffdn\u000e\ufffdn\u001e\ufffdn.\ufffdn>\ufffdnN\ufffdn^\ufffdnn\ufffdn~\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdn\ufffd\ufffdo\u000e\ufffdo\u001e\ufffdo.\ufffdo>\ufffdoN\ufffdo^\ufffdon\ufffdo~\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\ufffdo\ufffd\u0000p\u000f\u0001p\u001f\u0002p/\u0003p?\u0004pO\u0005p_\u0006po\u0007p\u007f\bp\ufffd\tp\ufffd\np\ufffd\u000bp\ufffd\fp\ufffd\rp\ufffd\u000ep\ufffd\u000fp\ufffd\ufffd\b\b\u0001\u0000\u0001\u0000\u0001\u0000\u0001\u0000\u0013\u0000\u0000\u0001\u0003\u0000\u0001\u0000\u0000\u0000\ufffd\u0000\u0000\u0000\u0001\u0001\u0003\u0000\u0001\u0000\u0000\u0000\ufffd\u0000\u0000\u0000\u0002\u0001\u0003\u0000\u0004\u0000\u0000\u0000\b\u0000\u0000\u0000\u0003\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0006\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000\u000e\u0001\u0002\u0000\ufffd\u0001\u0000\u0000\u0010\u0000\u0000\u0000\u0012\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0015\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0004\u0000\u0000\u0000\u001a\u0001\u0005\u0000\u0001\u0000\u0000\u0000\ufffd\u0001\u0000\u0000\u001b\u0001\u0005\u0000\u0001\u0000\u0000\u0000\ufffd\u0001\u0000\u0000\u001c\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000(\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000=\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000B\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0000\u0001\u0000\u0000C\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0000\u0001\u0000\u0000D\u0001\u0004\u0000\u0001\u0000\u0000\u0000\ufffd\u0001\u0000\u0000E\u0001\u0004\u0000\u0001\u0000\u0000\u0000p'\u0000\u0000R\u0001\u0003\u0000\u0001\u0000\u0000\u0000\u0002\u0000\u0000\u0000S\u0001\u0003\u0000\u0004\u0000\u0000\u0000*)\u0000\u0000\u0000\u0000\u0000\u0000",
        "expected": "tiled tiff written silently at the output path with the image size in its metadata",
        "input": "<guest-path>",
        "kind": "example",
        "outcome": "command completed successfully",
        "returncode": 0,
        "source": "utilities/converter/README.rst",
        "verdict": "yes"
      },
      {
        "claim": "Python convert() API from the converter README",
        "command": "",
        "deferred": false,
        "evidence": "The README gives only a Python snippet (from large_image_converter import convert; convert(<source path>)), which is agent-written code and not a documented command-line entry point. Ran the documented command-line form instead, in the example above.",
        "expected": "documented command completes successfully",
        "input": "",
        "kind": "example",
        "outcome": "The README gives only a Python snippet (from large_image_converter import convert; convert(<source path>)), which is agent-written code and not a documented command-line entry point. Ran the documented command-line form instead, in the example above.",
        "source": "utilities/converter/README.rst",
        "verdict": "blocked"
      }
    ],
    "status": "PASS"
  },
  "deviations": [
    "Installed the PyPI releases of large-image and large-image-converter (1.35.6) using the README's documented pip commands instead of building the pinned commit c76b5a3000b2a2780dfc090e53b1b680fbada7f5 from the workspace; the workspace is not a git repository, so the git init/fetch/reset pin step was not run.",
    "Installed libvips42t64 and libvips-tools with apt-get, which the README does not list explicitly; the converter could not load pyvips without them.",
    "The README's Python snippet convert(<source path>) was not run as it is not a command-line entry point; the documented CLI was used instead (recorded as a reason-only example).",
    "Converter uses no GDAL here (warning 'Cannot import GDAL.' printed);",
    "Validation used <guest-path> because /inputs/coldpass-preflight.py does not exist in this guest.",
    "Validation was rerun once after removing the outputs of the first replay, because the converter refuses to overwrite an existing output file (replay needs fresh paths)."
  ],
  "fault_owner": null,
  "main_blocker": null,
  "operation": "Convert a PNG image into a tiled pyramidal TIFF with the large_image_converter command and read the result back through large_image (3 levels, 64px tiles, 200x200 size).",
  "operation_scope": "Linux guest, Python 3.12.3 in <guest-path>, large-image 1.35.6 and large-image-converter 1.35.6 from PyPI, libvips 8.15 system library (for pyvips); GDAL not installed (only needed for geospatial inputs). Probe, claims and example all use the documented large_image_converter CLI; claims cover the README.rst highlight and utilities/converter/README.rst pyvips sentence.",
  "outcome": "working",
  "plain_failure": null,
  "steps": [
    "pip install \"large-image[common]\" (README.rst Installation > Pip; Python 3.12.3 meets python_requires>=3.10)",
    "pip install \"large-image[converter]\" \"large-image-converter\" (README.rst Modules > converter extra; utilities/converter/README.rst Installation)",
    "sudo apt-get -o DPkg::Lock::Timeout=300 install -y libvips42t64 libvips-tools (required by pyvips; import failed with missing libvips.so.42)",
    "large_image_converter --help (setup only)",
    "large_image_converter --verbose --tile 64 docs/static/K.png <fresh output>.tiff (probe and claims)",
    "large_image_converter <source> <dest> (quickstart example, silent, expected file checked for sizeX/sizeY metadata)"
  ],
  "stuck_step": null,
  "suggested_fix": null
}
