Chrome在Linux上的命令行远程控制？(How do I programatically control a Chrome instance from the command line?)

 根据你的代码片段，我想我会做这样的事情，将文件分成8部分，然后由4名工作人员完成计算（ 为什么需要8个块和4个工人？只是我为这个例子做出的一个随机选择。 ）： 
 
from multiprocessing import Pool
import itertools

def myfunction(lines):
    returnlist = []
    for line in lines:
        list_of_elem = line.split(",")
        elem_id = list_of_elem[1]
        elem_to_check = list_of_elem[5]
        ids = list_of_elem[2].split("|")

        for x in itertools.permutations(ids,2):
            returnlist.append(",".join(
                [elem_id,x,"1\n" if x[1] == elem_to_check else "0\n"]))

    return returnlist

def chunk(it, size):
    it = iter(it)
    return iter(lambda: tuple(itertools.islice(it, size)), ())

if __name__ == "__main__":
    my_data = open(r"my_input_file_to_be_processed.txt","r")
    my_data = my_data.read().split("\n")   

    prep = [strings for strings in chunk(my_data, round(len(my_data) / 8))]
    with Pool(4) as p:
        res = p.map(myfunction, prep)

    result = res.pop(0)
    _ = list(map(lambda x: result.extend(x), res))
    print(result)  # ... or do something with the result
 
 编辑：这是假设你有信心所有行都以相同的方式格式化，并不会导致错误。 
 
 根据你的意见，看看你的函数/你的文件的内容有什么问题，可以通过在没有multiprocessing或使用try /的情况下测试它，除非以相当大/很丑的方式来确保产生输出（ 例外或结果）： 
 
def myfunction(lines):
    returnlist = []
    for line in lines:
        try:
            list_of_elem = line.split(",")
            elem_id = list_of_elem[1]
            elem_to_check = list_of_elem[5]
            ids = list_of_elem[2].split("|")

            for x in itertools.permutations(ids,2):
                returnlist.append(",".join(
                    [elem_id,x,"1\n" if x[1] == elem_to_check else "0\n"]))
        except Exception as err:
            returnlist.append('I encountered error {} on line {}'.format(err, line))

    return returnlist

According to your snippet of code I guess I would do something like this to chunk the file in 8 parts and then make the computation to be done by 4 workers (why 8 chunks and 4 workers ? Just a random choice I made for the example.) :
 
from multiprocessing import Pool
import itertools

def myfunction(lines):
    returnlist = []
    for line in lines:
        list_of_elem = line.split(",")
        elem_id = list_of_elem[1]
        elem_to_check = list_of_elem[5]
        ids = list_of_elem[2].split("|")

        for x in itertools.permutations(ids,2):
            returnlist.append(",".join(
                [elem_id,x,"1\n" if x[1] == elem_to_check else "0\n"]))

    return returnlist

def chunk(it, size):
    it = iter(it)
    return iter(lambda: tuple(itertools.islice(it, size)), ())

if __name__ == "__main__":
    my_data = open(r"my_input_file_to_be_processed.txt","r")
    my_data = my_data.read().split("\n")   

    prep = [strings for strings in chunk(my_data, round(len(my_data) / 8))]
    with Pool(4) as p:
        res = p.map(myfunction, prep)

    result = res.pop(0)
    _ = list(map(lambda x: result.extend(x), res))
    print(result)  # ... or do something with the result
 
Edit : This is assuming you are confident all lines are formatted in the same way and will cause no error.
 
According to your comments it might be useful to see what is the problem in your function/the content of your file by testing it without multiprocessing or using try/except in a pretty large/ugly way to be almost sure that an output will be produced (either the exception or the result) :
 
def myfunction(lines):
    returnlist = []
    for line in lines:
        try:
            list_of_elem = line.split(",")
            elem_id = list_of_elem[1]
            elem_to_check = list_of_elem[5]
            ids = list_of_elem[2].split("|")

            for x in itertools.permutations(ids,2):
                returnlist.append(",".join(
                    [elem_id,x,"1\n" if x[1] == elem_to_check else "0\n"]))
        except Exception as err:
            returnlist.append('I encountered error {} on line {}'.format(err, line))

    return returnlist