python - 下标问题(脚本实例化并从另一个脚本调用)仅运行被调用函数，而不是整个脚本

Question

目标:从上标开始，在 for 循环的每次迭代中，将一个列表发送到下标中的函数，更新该列表，退出下标中的函数，并执行几个操作，然后进入下一次迭代。
问题:只运行我从上标调用的函数，而不是整个下标。
CrossValidationSmall.py(上标)

import subfileTest

data = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J','K']
n = 2

for start in range(0, len(data), n):
    stop = start + n
    test = data[start: stop]
    train = data[:start] + data[stop:]
    subfileTest.set_train_data(train)

subfileTest.py(下标)

train_data = []

def set_train_data(train):
    global train_data
    train_data = train

print(train_data) #should output the lists each time subfileTest is called.

预期产出

MacBook-Pro:SmallerEnviromentTest Me$ python CrossValidationSmall.py
['C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
['A', 'B', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
['A', 'B', 'C', 'D', 'G', 'H', 'I', 'J', 'K']
['A', 'B', 'C', 'D', 'E', 'F', 'I', 'J', 'K']
['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'K']
['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J']

电流输出

MacBook-Pro:SmallerEnviromentTest Me$ python CrossValidationSmall.py
[]

Answer 1

据我了解，您需要在每次迭代时全部调用您的下标。
事情是这样的:

一旦找到一个新模块就会执行，并且初始执行的模块是缓存 .

当在不同的文件中导入相同的模块时，将返回缓存的版本。

此缓存版本存在于整个进程的生命周期中。

由于您需要在每次迭代时重新运行下标，因此可以使用 Class。类的对象:

存储每次迭代的数据

编写任意数量的函数来处理这些数据

只要您需要，就保留每个对象的值

上标 :

from subscript import ModelCrossValidator

trial = 0

data = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K']
n = 2

for start in range(0, len(data), n):
    trial += 1

    stop = start + n
    test = data[start: stop]

    # train_subset to be used for cross validation
    train_subset = data[:start] + data[stop:]

    cross_validator = ModelCrossValidator(train_subset)
    cross_val_score = cross_validator.calc_score()

print("CrossValSet: {}, Data: {}, Score: {:.2}".format(trial, cross_validator.data, cross_val_score))

下标 :

import random

class ModelCrossValidator:

    def __init__(self, train_subset):
        self.data = train_subset     # your folded cross-val data
        self.model = None            # can pass in a model too here
        self.accuracy = 0            # other fields that you might need

    def calc_score(self):
        # you can have any number of functions like this.
        # all will deal with only the data from a single object.

        self.accuracy = 0.8 + (random.random()) % 0.2
        return self.accuracy

输出:

Macbook-Pro: chimichanga$ python superscript.py 
CrossValSet: 1, Data: ['C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K'], Score: 0.89
CrossValSet: 2, Data: ['A', 'B', 'E', 'F', 'G', 'H', 'I', 'J', 'K'], Score: 0.94
CrossValSet: 3, Data: ['A', 'B', 'C', 'D', 'G', 'H', 'I', 'J', 'K'], Score: 0.9
CrossValSet: 4, Data: ['A', 'B', 'C', 'D', 'E', 'F', 'I', 'J', 'K'], Score: 0.84
CrossValSet: 5, Data: ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'K'], Score: 0.88
CrossValSet: 6, Data: ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J'], Score: 0.94