{
  "context": "This criteria evaluates an engineer's ability to use pillow-heif's pickle serialization support for HeifFile objects. The focus is on correctly serializing and deserializing HeifFile objects while preserving image data, metadata, and multi-image container structures.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Pickle module usage",
      "description": "Uses Python's pickle module (pickle.dump, pickle.load) to serialize and deserialize HeifFile objects",
      "max_score": 25
    },
    {
      "name": "HeifFile serialization",
      "description": "Correctly serializes HeifFile objects obtained from pillow_heif.open_heif() or pillow_heif.read_heif() functions",
      "max_score": 20
    },
    {
      "name": "HeifFile deserialization",
      "description": "Correctly deserializes stored data back into functional HeifFile objects that can be used with pillow-heif APIs",
      "max_score": 20
    },
    {
      "name": "Image data preservation",
      "description": "Verifies that deserialized HeifFile objects preserve image data accessible via .data property or array interface",
      "max_score": 15
    },
    {
      "name": "Multi-image support",
      "description": "Correctly handles HeifFile containers with multiple images, preserving all images and primary_index property",
      "max_score": 10
    },
    {
      "name": "Metadata preservation",
      "description": "Verifies that metadata (EXIF, XMP) accessible via .info dictionary is preserved through serialization",
      "max_score": 10
    }
  ]
}