core/maxframe/dataframe/extensions/apply_chunk.py [482:498]:
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    output_types = kwargs.pop("output_types", None)
    object_type = kwargs.pop("object_type", None)
    output_types = validate_output_types(
        output_type=output_type, output_types=output_types, object_type=object_type
    )
    output_type = output_types[0] if output_types else None
    if skip_infer and output_type is None:
        output_type = OutputType.df_or_series

    # bind args and kwargs
    op = DataFrameApplyChunkOperator(
        func=func,
        batch_rows=batch_rows,
        output_type=output_type,
        args=args,
        kwargs=kwargs,
    )
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core/maxframe/dataframe/extensions/apply_chunk.py [724:739]:
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    output_types = kwargs.pop("output_types", None)
    object_type = kwargs.pop("object_type", None)
    output_types = validate_output_types(
        output_type=output_type, output_types=output_types, object_type=object_type
    )
    output_type = output_types[0] if output_types else None
    if skip_infer and output_type is None:
        output_type = OutputType.df_or_series

    op = DataFrameApplyChunkOperator(
        func=func,
        batch_rows=batch_rows,
        output_type=output_type,
        args=args,
        kwargs=kwargs,
    )
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