如何使“与返回语句相关”的代码成为函数的参数值？

如何解决如何使“与返回语句相关”的代码成为函数的参数值？

这里是工作代码，为简洁起见，省略了一些行。

class DataGenerator():
    def __init__(self):
        self.unique_id_list = []
        self.demographic_list = []
        self.output_list = []

    # .. some code omitted

    def create_row(self,creation_label,criteria_func,n_row_range_list):
        output_placeholder = []

        for curr_id in self.unique_id_list:
            for curr_dict in self.demographic_list:
                if curr_dict['ID'] == curr_id:
                    extracted_demographic = curr_dict

            n_iter = random.randint(n_row_range_list[0],n_row_range_list[1])

            for n in range(n_iter):
                single_output = criteria_func()
                merged_dicts = dict(extracted_demographic,**single_output)
                output_placeholder.append(merged_dicts)

        return output_placeholder

class GeneratePcRow():
    def __init__(self,icd_9_gen,service_code_gen,atc_gen):
        self.icd_9_gen = icd_9_gen
        self.service_code_gen = service_code_gen
        self.atc_gen = atc_gen

    def generate_pc_row(self):
        fake = random_setup()
        icd9_obj = self.icd_9_gen
        serviceCode_obj = self.service_code_gen
        atc_obj = self.atc_gen

        return {'PERS_CAPB_PRVD_SPEC_AD': np.random.choice(['GP','PSYC','UROL'],p=[0.4,0.5,0.1]),'START_DT': fake.date_between(start_date='-2y',end_date='-1y'),'END_DT': fake.date_between(start_date='-2y','DELV_SITE_FUNCTR_TYPE_CODE': np.random.choice(['POFF','IPSR','AMBU'],p=[0.333,0.333,0.334]),'ICD9': icd9_obj.create_icd9(),'SERVICE_CODE': serviceCode_obj.create_service_code(),'ATC': atc_obj.create_atc(),}   

def random_setup():
    seed = None
    random.seed(seed)
    np.random.seed(seed)
    Faker.seed(seed)
    fake = Faker()
    return fake

# Main
dg_obj = DataGenerator()
pc_gen_obj = GeneratePcRow(
                            icd_9_gen = Icd9Generator(p_three_digit_code=0.3,p_four_digit_code=0.3,p_five_digit_code=0.3,p_v_code=0.1,inclusion_list=[],exclusion_list=[]),service_code_gen = ServiceCodeGenerator(p_service=0.9,p_lab=0.1,exclusion_list=[12415125]),atc_gen = AtcGenerator(exclusion_list=[12415125]))
pc_data_part1 = dg_obj.create_row(creation_label='PC data part 1',criteria_func=pc_gen_obj.generate_pc_row,n_row_range_list=[1,1],)

print(pc_data_part1)

但是，理想情况下，为避免重复，我想以某种方式将返回上下文代码{'PERS_CAPB_PRVD_SPEC_AD': np.random.choice(['GP',}从generate_pc_row(self)函数内部移至接口层。我在下面显示了我想做的事情，但这是不正确的。即，我为gen_criteria添加了另一个函数参数（GeneratePcRow()），以便以后可以为其他用例指定gen_criteria值。

class DataGenerator():
    def __init__(self):
        self.unique_id_list = []
        self.demographic_list = []
        self.output_list = []

    # .. some code omitted

    def create_row(self,atc_gen,gen_criteria):
        self.icd_9_gen = icd_9_gen
        self.service_code_gen = service_code_gen
        self.atc_gen = atc_gen

    def generate_pc_row(self):
        fake = random_setup()
        icd9_obj = self.icd_9_gen
        serviceCode_obj = self.service_code_gen
        atc_obj = self.atc_gen

        return gen_criteria

def random_setup():
    seed = None
    random.seed(seed)
    np.random.seed(seed)
    Faker.seed(seed)
    fake = Faker()
    return fake

# Main
dg_obj = DataGenerator()
pc_gen_obj = GeneratePcRow(
                            icd_9_gen = Icd9Generator(p_three_digit_code=0.3,atc_gen = AtcGenerator(exclusion_list=[12415125]),gen_criteria = {'PERS_CAPB_PRVD_SPEC_AD': np.random.choice(['GP',}   )
pc_data_part1 = dg_obj.create_row(creation_label='PC data part 1',)

print(pc_data_part1)

错误（NameError: name 'fake' is not defined）表示找不到对fake和icd9_obj的引用，这并不意外，但是我有点困惑如何在我的计算机中引用它们。情况。