How to use the pythainlp.tokenize.newmm.segment function in pythainlp

elif engine == "mm" or engine == "multi_cut":
        from .multi_cut import segment

        segments = segment(text, custom_dict)
    elif engine == "deepcut":  # deepcut can optionally use dictionary
        from .deepcut import segment

        if custom_dict:
            custom_dict = list(custom_dict)
            segments = segment(text, custom_dict)
        else:
            segments = segment(text)
    elif engine == "icu":
        from .pyicu import segment

        segments = segment(text)
    else:
        raise ValueError(
            f"""Tokenizer \"{engine}\" not found.
            It might be a typo; if not, please consult our document."""
        )

    if not keep_whitespace:
        segments = [token.strip(" ") for token in segments if token.strip(" ")]

    return segments

if engine == "newmm" or engine == "onecut":
        from .newmm import segment

        segments = segment(text, custom_dict)
    elif engine == "newmm-safe":
        from .newmm import segment

        segments = segment(text, custom_dict, safe_mode=True)
    elif engine == "attacut":
        from .attacut import segment

        segments = segment(text)
    elif engine == "longest":
        from .longest import segment

        segments = segment(text, custom_dict)
    elif engine == "mm" or engine == "multi_cut":
        from .multi_cut import segment

        segments = segment(text, custom_dict)
    elif engine == "deepcut":  # deepcut can optionally use dictionary
        from .deepcut import segment

        if custom_dict:
            custom_dict = list(custom_dict)
            segments = segment(text, custom_dict)
        else:
            segments = segment(text)
    elif engine == "icu":
        from .pyicu import segment

        segments = segment(text)

# ['ชินโซ', ' ', 'อาเบะ',
        #   ' ', 'เกิด', ' ', '21', ' ', 'กันยายน']
    """
    if not text or not isinstance(text, str):
        return []

    segments = []

    if engine == "newmm" or engine == "onecut":
        from .newmm import segment

        segments = segment(text, custom_dict)
    elif engine == "newmm-safe":
        from .newmm import segment

        segments = segment(text, custom_dict, safe_mode=True)
    elif engine == "attacut":
        from .attacut import segment

        segments = segment(text)
    elif engine == "longest":
        from .longest import segment

        segments = segment(text, custom_dict)
    elif engine == "mm" or engine == "multi_cut":
        from .multi_cut import segment

        segments = segment(text, custom_dict)
    elif engine == "deepcut":  # deepcut can optionally use dictionary
        from .deepcut import segment

        if custom_dict:

return []

    segments = []

    if engine == "newmm" or engine == "onecut":
        from .newmm import segment

        segments = segment(text, custom_dict)
    elif engine == "newmm-safe":
        from .newmm import segment

        segments = segment(text, custom_dict, safe_mode=True)
    elif engine == "attacut":
        from .attacut import segment

        segments = segment(text)
    elif engine == "longest":
        from .longest import segment

        segments = segment(text, custom_dict)
    elif engine == "mm" or engine == "multi_cut":
        from .multi_cut import segment

        segments = segment(text, custom_dict)
    elif engine == "deepcut":  # deepcut can optionally use dictionary
        from .deepcut import segment

        if custom_dict:
            custom_dict = list(custom_dict)
            segments = segment(text, custom_dict)
        else:
            segments = segment(text)

segments = segment(text)
    elif engine == "longest":
        from .longest import segment

        segments = segment(text, custom_dict)
    elif engine == "mm" or engine == "multi_cut":
        from .multi_cut import segment

        segments = segment(text, custom_dict)
    elif engine == "deepcut":  # deepcut can optionally use dictionary
        from .deepcut import segment

        if custom_dict:
            custom_dict = list(custom_dict)
            segments = segment(text, custom_dict)
        else:
            segments = segment(text)
    elif engine == "icu":
        from .pyicu import segment

        segments = segment(text)
    else:
        raise ValueError(
            f"""Tokenizer \"{engine}\" not found.
            It might be a typo; if not, please consult our document."""
        )

    if not keep_whitespace:
        segments = [token.strip(" ") for token in segments if token.strip(" ")]

    return segments

elif engine == "longest":
        from .longest import segment

        segments = segment(text, custom_dict)
    elif engine == "mm" or engine == "multi_cut":
        from .multi_cut import segment

        segments = segment(text, custom_dict)
    elif engine == "deepcut":  # deepcut can optionally use dictionary
        from .deepcut import segment

        if custom_dict:
            custom_dict = list(custom_dict)
            segments = segment(text, custom_dict)
        else:
            segments = segment(text)
    elif engine == "icu":
        from .pyicu import segment

        segments = segment(text)
    else:
        raise ValueError(
            f"""Tokenizer \"{engine}\" not found.
            It might be a typo; if not, please consult our document."""
        )

    if not keep_whitespace:
        segments = [token.strip(" ") for token in segments if token.strip(" ")]

    return segments