{
  "context": "This criteria evaluates how well the engineer uses Pydantic's ByteSize type to implement storage quota validation and management. The focus is on proper usage of ByteSize for parsing human-readable sizes, comparing sizes, and formatting output.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "ByteSize field usage",
      "description": "Uses ByteSize type from pydantic.types or pydantic for the quota_limit field in the StorageQuota model",
      "max_score": 30
    },
    {
      "name": "Size comparison",
      "description": "Correctly compares file sizes in bytes with the ByteSize quota_limit (e.g., by comparing with the ByteSize value directly or converting to bytes)",
      "max_score": 25
    },
    {
      "name": "Human-readable formatting",
      "description": "Uses ByteSize.human_readable() method or equivalent to format byte sizes as human-readable strings",
      "max_score": 25
    },
    {
      "name": "Unit handling",
      "description": "Correctly handles both decimal (KB, MB, GB) and binary (KiB, MiB, GiB) units in parsing and formatting",
      "max_score": 20
    }
  ]
}