def _check_col_filter(name, cols, df):
    err_msg = (
        "Custom column filters should be either a Selector or a list of column names"
        f"\n  or a list of column indices. Got a bad filter for key {name!r}: {cols!r}"
    )
    if isinstance(cols, s.Selector):
        return cols.expand_index(df)
    if not isinstance(cols, Sequence):
        raise TypeError(err_msg)
    if all(isinstance(c, str) for c in cols):
        all_col_names = set(sbd.column_names(df))
        bad_col_names = [c for c in cols if c not in all_col_names]
        if bad_col_names:
            raise ValueError(
                "The following column names passed for "
                f"filter {name!r} are not in the dataframe: {bad_col_names}"
            )
        return s.make_selector(cols).expand_index(df)
    if all(isinstance(c, numbers.Integral) for c in cols):
        bad_idx = [c for c in cols if not 0 <= c < sbd.shape(df)[1]]
        if bad_idx:
            raise ValueError(
                "The following column indices passed for "
                f"filter {name!r} are out of range: {bad_idx}"
            )
        return list(cols)
    raise TypeError(err_msg)


def _check_column_filters(column_filters, df):
    if column_filters is None:
        return None
    if not isinstance(column_filters, Mapping):
        raise TypeError(
            "column_filters should be a dict mapping names to column lists, "
            f"got object of type: {type(column_filters)}"
        )
    return {
        str(name): {
            "display_name": str(name),
            "columns": _check_col_filter(name, cols, df),
        }
        for name, cols in column_filters.items()
    }