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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 get_data_context(context_type, options, *args, **kwargs):
 """Return a data_context object which exposes options to list datasets and get a dataset from that context. This is a new API in Great Expectations 0.4, and is subject to rapid change. :param context_type: (string) one of "SqlAlchemy" or "PandasCSV" :param options: options to be passed to the data context's connect method. :return: a new DataContext object """

    if context_type == "SqlAlchemy":
        return SqlAlchemyDataContext(options, *args, **kwargs)
    elif context_type == "PandasCSV":
        return PandasCSVDataContext(options, *args, **kwargs)
    else:
        raise ValueError("Unknown data context.")