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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def save_data(data, file_fmt, append=False, drop_dups=None, info=None, **kwargs):
 """ Save data to file Args: data: pd.DataFrame file_fmt: data file format in terms of f-strings append: if append data to existing data drop_dups: list, drop duplicates in columns info: dict, infomation to be hashed and passed to f-strings **kwargs: additional parameters for f-strings Examples: """

    d_file = data_file(file_fmt=file_fmt, info=info, **kwargs)
    if append and files.exists(d_file):
        data = pd.DataFrame(pd.concat([pd.read_parquet(d_file), data], sort=False))
        if drop_dups is not None:
            data.drop_duplicates(subset=utils.tolist(drop_dups), inplace=True)

    if not data.empty: data.to_parquet(d_file)
    return data