要在函数内部实现将 saved_feature_combinations 转换为元组形式，可以在检查 saved_feature_combinations 是否为空后，直接将它们转换为元组。你可以在现有逻辑的基础上添加转换步骤。

def process_and_save_combinations(self, saved_feature_combinations, saved_normalized_data, all_feature_combinations, feature_combinations_0, config, start_date, end_date):"""处理并保存特征组合。流程：检查已保存的特征工程数据找到与新传入特征组合的差异是（有差异）：删除多余的和不再用的特征组合否（无差异）：保留不变的特征组合执行特征工程参数:- saved_feature_combinations: 已保存的特征组合- saved_normalized_data: 已保存的标准化数据- all_feature_combinations: 所有特征组合- feature_combinations_0: 初始特征组合返回:- unique_feature_combinations: 独特的特征组合- unique_normalized_data: 独特的标准化数据"""try:# 检查 saved_feature_combinations 是否存在并转换为元组形式if saved_feature_combinations:saved_feature_combinations = [tuple(feature.split(',')) if isinstance(feature, str) else featurefor feature in saved_feature_combinations]# 如果存在已保存的特征工程数据，但 normalized_data 为空，处理组合if saved_feature_combinations and saved_normalized_data.empty:print("Saved data is present, processing combinations...")feature_combinations, normalized_data = self.process_combinations(saved_feature_combinations, saved_normalized_data, all_feature_combinations)if isinstance(self.processor, NZDataProcessor):# 如果processor是NZDataProcessor, 则传递config, start_date, end_datenew_feature_combinations, new_normalized_data = self.perform_engineering_with_params(feature_combinations_0, config, start_date, end_date)else:# 否则，不传递这些参数new_feature_combinations, new_normalized_data = self.perform_engineering_without_params(feature_combinations_0)log_info_message(f"---读取成功，执行完特征工程得到的值：{feature_combinations}")combined_feature_combinations = feature_combinations + new_feature_combinationscombined_normalized_data = normalized_data + new_normalized_dataunique_feature_combinations = list(set(combined_feature_combinations))unique_normalized_data = [combined_normalized_data[combined_feature_combinations.index(comb)]for comb in unique_feature_combinations]self.save_results(unique_feature_combinations, unique_normalized_data)else:if isinstance(self.processor, NZDataProcessor):# 调用带参数的特征工程方法feature_combinations, normalized_data = self.perform_engineering_with_params(feature_combinations_0, config, start_date, end_date)else:# 调用不带参数的特征工程方法feature_combinations, normalized_data = self.perform_engineering_without_params(feature_combinations_0)print(f"---读取不成功，执行完特征工程得到的值：{feature_combinations}")unique_feature_combinations = feature_combinationsunique_normalized_data = normalized_dataself.save_results(unique_feature_combinations, unique_normalized_data)except Exception as e:print(f"处理和保存特征组合时出错: {e}")import tracebacktraceback.print_exc()  # 打印完整的错误堆栈信息return [], []  # 在异常情况下返回空列表return unique_feature_combinations, unique_normalized_data