{
  "context": "Evaluates how the solution applies CPython's text processing standard library—regular expressions and template formatting—to parse logs, redact sensitive tokens, and fill templates as required by the spec.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Log regex",
      "description": "Parses lines matching YYYY-MM-DD HH:MM:SS LEVEL pattern using re.compile (or equivalent) with capturing groups for timestamp, level, message, and multiline handling rather than manual splits.",
      "max_score": 35
    },
    {
      "name": "Tag capture",
      "description": "Uses regex-based extraction (e.g., findall on #\\w+-style tokens) to collect hashtag tags in order and remove them from the stored message text.",
      "max_score": 15
    },
    {
      "name": "Sensitive sub",
      "description": "Employs re.sub or compiled patterns to globally replace emails, IPv4 addresses, and 16-digit IDs (allowing spaces/dashes between groups) with fixed placeholders while preserving surrounding text.",
      "max_score": 30
    },
    {
      "name": "Template safe fill",
      "description": "Uses string.Template.safe_substitute (or equivalent) so provided mapping fills $ and ${} placeholders, unknown keys remain untouched, and $$ yields a literal dollar across multiline templates.",
      "max_score": 20
    }
  ]
}