def __init__()

in elasticsearch/dsl/aggs.py [0:0]

• 45 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(
        self,
        *,
        background_filter: Union[Query, "DefaultType"] = DEFAULT,
        chi_square: Union[
            "types.ChiSquareHeuristic", Dict[str, Any], "DefaultType"
        ] = DEFAULT,
        exclude: Union[str, Sequence[str], "DefaultType"] = DEFAULT,
        execution_hint: Union[
            Literal[
                "map",
                "global_ordinals",
                "global_ordinals_hash",
                "global_ordinals_low_cardinality",
            ],
            "DefaultType",
        ] = DEFAULT,
        field: Union[str, "InstrumentedField", "DefaultType"] = DEFAULT,
        filter_duplicate_text: Union[bool, "DefaultType"] = DEFAULT,
        gnd: Union[
            "types.GoogleNormalizedDistanceHeuristic", Dict[str, Any], "DefaultType"
        ] = DEFAULT,
        include: Union[
            str, Sequence[str], "types.TermsPartition", Dict[str, Any], "DefaultType"
        ] = DEFAULT,
        jlh: Union["types.EmptyObject", Dict[str, Any], "DefaultType"] = DEFAULT,
        min_doc_count: Union[int, "DefaultType"] = DEFAULT,
        mutual_information: Union[
            "types.MutualInformationHeuristic", Dict[str, Any], "DefaultType"
        ] = DEFAULT,
        percentage: Union[
            "types.PercentageScoreHeuristic", Dict[str, Any], "DefaultType"
        ] = DEFAULT,
        script_heuristic: Union[
            "types.ScriptedHeuristic", Dict[str, Any], "DefaultType"
        ] = DEFAULT,
        shard_min_doc_count: Union[int, "DefaultType"] = DEFAULT,
        shard_size: Union[int, "DefaultType"] = DEFAULT,
        size: Union[int, "DefaultType"] = DEFAULT,
        source_fields: Union[
            Union[str, "InstrumentedField"],
            Sequence[Union[str, "InstrumentedField"]],
            "DefaultType",
        ] = DEFAULT,
        **kwargs: Any,