def aggregate_statistics()

in client/commands/statistics.py [0:0]

• 43 lines of code
• 11 McCabe index (conditional complexity)

def aggregate_statistics(data: Dict[str, StatisticsData]) -> AggregatedStatisticsData:
    aggregate_annotations = {
        "return_count": 0,
        "annotated_return_count": 0,
        "globals_count": 0,
        "annotated_globals_count": 0,
        "parameter_count": 0,
        "annotated_parameter_count": 0,
        "attribute_count": 0,
        "annotated_attribute_count": 0,
        "function_count": 0,
        "partially_annotated_function_count": 0,
        "fully_annotated_function_count": 0,
        "line_count": 0,
    }

    for statistics_data in data.values():
        for key in aggregate_annotations.keys():
            aggregate_annotations[key] += statistics_data.annotations[key]

    return AggregatedStatisticsData(
        annotations=aggregate_annotations,
        fixmes=sum(
            len(fixmes)
            for fixmes in [statistics_data.fixmes for statistics_data in data.values()]
        ),
        ignores=sum(
            len(ignores)
            for ignores in [
                statistics_data.ignores for statistics_data in data.values()
            ]
        ),
        strict=sum(
            strictness["strict_count"]
            for strictness in [
                statistics_data.strict for statistics_data in data.values()
            ]
        ),
        unsafe=sum(
            strictness["unsafe_count"]
            for strictness in [
                statistics_data.strict for statistics_data in data.values()
            ]
        ),
    )