{
  "context": "This evaluation assesses how well the engineer uses the python-us package to work with state capital timezone information. The focus is on proper usage of State object attributes (capital and capital_tz), state collections (STATES, STATES_AND_TERRITORIES), and state lookup functionality.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "State lookup usage",
      "description": "Uses us.states module to look up states by abbreviation, either via direct attribute access (us.states.CA) or via us.states.lookup() function",
      "max_score": 15
    },
    {
      "name": "capital_tz attribute access",
      "description": "Correctly accesses the capital_tz attribute from State objects to retrieve the timezone of state capitals",
      "max_score": 20
    },
    {
      "name": "capital attribute access",
      "description": "Correctly accesses the capital attribute from State objects to retrieve capital city names",
      "max_score": 15
    },
    {
      "name": "State collection iteration",
      "description": "Iterates over appropriate state collections (us.STATES, us.STATES_AND_TERRITORIES, or us.states.STATES_AND_TERRITORIES) to process multiple states",
      "max_score": 15
    },
    {
      "name": "None handling",
      "description": "Properly handles cases where capital or capital_tz may be None, filtering out or returning None appropriately",
      "max_score": 15
    },
    {
      "name": "Data structure construction",
      "description": "Builds the required dictionary structures correctly: timezone-to-list mappings for grouping and timezone-to-count mappings for counting",
      "max_score": 10
    },
    {
      "name": "Function signatures",
      "description": "Implements functions with correct signatures matching the API specification: get_capital_timezone(state_abbr), group_capitals_by_timezone(), and count_capitals_per_timezone()",
      "max_score": 10
    }
  ]
}