{
  "context": "Evaluates how well the solution uses pynetworktables type utilities, forced entry retyping, and flag toggling to satisfy the EntryTypeController spec. Rewards solutions that lean on the library's setters/force-setters and persistence APIs instead of reinventing type handling.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Type validation",
      "description": "Validates inputs with pynetworktables data typing helpers (e.g., Value.isValidDataType or Value.make* factories) before writing and rejects unsupported values instead of relying on generic Python checks.",
      "max_score": 20
    },
    {
      "name": "Typed writes",
      "description": "Uses entry-specific setters (setBoolean/setDouble/setString/setRaw/setBooleanArray/setDoubleArray/setStringArray or setValue) when allow_retype is false to keep the existing entry type intact.",
      "max_score": 20
    },
    {
      "name": "Force retype",
      "description": "When allow_retype is true, uses force-set APIs (forceSetValue or forceSetBoolean/forceSetDouble/forceSetString/forceSetRaw/forceSetBooleanArray/forceSetDoubleArray/forceSetStringArray) to replace the stored value and type.",
      "max_score": 25
    },
    {
      "name": "Preserve on mismatch",
      "description": "On disallowed retype, reads the current entry via pynetworktables getters/properties (value, getValue, or typed getters) and leaves the remote entry untouched instead of overwriting.",
      "max_score": 15
    },
    {
      "name": "Flag control",
      "description": "Toggles persistence with entry/table flag APIs (setFlags/clearFlags or setPersistent/clearPersistent using EntryFlags/NT_PERSISTENT) and verifies status with getFlags or isPersistent.",
      "max_score": 20
    }
  ]
}