def drop_uda(self, name, input_types=None, database=None, force=False):
        return self.drop_udf(name, input_types=input_types, database=database,
                             force=force)
Create & return a suitable `Result` instance from the given ``kwargs``.
dataset/ETHPy150Open cloudera/ibis/ibis/impala/client.py/ImpalaClient.drop_uda--crossover with--dataset/ETHPy150Open pyinvoke/invoke/invoke/runners.py/Runner.generate_result