def METHOD_NAME():
    from ..core import DATAFRAME_TYPE, SERIES_TYPE, INDEX_TYPE
    from .aggregation import aggregate
    from .sum import sum_series, sum_dataframe
    from .prod import prod_series, prod_dataframe
    from .max import max_series, max_dataframe, max_index
    from .min import min_series, min_dataframe, min_index
    from .count import count_series, count_dataframe
    from .mean import mean_series, mean_dataframe
    from .var import var_series, var_dataframe
    from .std import std_series, std_dataframe
    from .all import all_series, all_dataframe, all_index
    from .any import any_series, any_dataframe, any_index
    from .cummax import cummax
    from .cummin import cummin
    from .cumprod import cumprod
    from .cumsum import cumsum
    from .nunique import nunique_dataframe, nunique_series
    from .sem import sem_dataframe, sem_series
    from .skew import skew_dataframe, skew_series
    from .kurtosis import kurt_dataframe, kurt_series
    from .reduction_size import size_dataframe, size_series
    funcs = [
        ("sum", sum_series, sum_dataframe),
        ("prod", prod_series, prod_dataframe),
        ("product", prod_series, prod_dataframe),
        ("max", max_series, max_dataframe),
        ("min", min_series, min_dataframe),
        ("count", count_series, count_dataframe),
        ("mean", mean_series, mean_dataframe),
        ("var", var_series, var_dataframe),
        ("std", std_series, std_dataframe),
        ("all", all_series, all_dataframe),
        ("any", any_series, any_dataframe),
        ("cummax", cummax, cummax),
        ("cummin", cummin, cummin),
        ("cumprod", cumprod, cumprod),
        ("cumsum", cumsum, cumsum),
        ("agg", aggregate, aggregate),
        ("aggregate", aggregate, aggregate),
        ("nunique", nunique_series, nunique_dataframe),
        ("sem", sem_series, sem_dataframe),
        ("skew", skew_series, skew_dataframe),
        ("kurt", kurt_series, kurt_dataframe),
        ("kurtosis", kurt_series, kurt_dataframe),
        ("unique", unique, None),
        ("_reduction_size", size_dataframe, size_series),
    ]
    for func_name, series_func, df_func in funcs:
        if df_func is not None:  # pragma: no branch
            for t in DATAFRAME_TYPE:
                setattr(t, func_name, df_func)
        if series_func is not None:  # pragma: no branch
            for t in SERIES_TYPE:
                setattr(t, func_name, series_func)
    for t in INDEX_TYPE:
        setattr(t, "agg", aggregate)
        setattr(t, "aggregate", aggregate)
        setattr(t, "all", all_index)
        setattr(t, "any", any_index)
        setattr(t, "min", min_index)
        setattr(t, "max", max_index)