Python在保存几个池处理的文件时遇到问题

Question

我需要在普拉雷尔处理一些文件。 我正在使用池，但在保存池处理的文件时遇到问题。 代码如下：

... All imports...

def extract(text_lines):

    line_tr01 = []
    line_tr02 = []
    line_tr03 = []
    line_tr03 = []
    for line in text_lines:
        treatment01 = treatment_a(line, args)
        line_tr01.append(treatment01)
        treatment02 = treatment_b(line, args)
        line_tr02.append(treatment02)
        treatment03 = treatment_c(line, args)
        line_tr03.append(treatment03)
        treatment04 = treatment_d(line, args)
        line_tr04.append(treatment04)


for file in folder:
    text_lines = read_file_into_list(file_path)
    chunk_size=len(text_lines)/6
    divided=[]

    divided.append(text_lines[0:chunk_size])
    divided.append(text_lines[chunk_size:2*chunk_size])
    divided.append(text_lines[2*chunk_size:3*chunk_size])
    divided.append(text_lines[3*chunk_size:4*chunk_size])
    divided.append(text_lines[4*chunk_size:5*chunk_size])
    divided.append(text_lines[5*chunk_size:6*chunk_size])

    lines=[]
    p = Pool(6)
    lines.extend(p.map(extract(text_lines),divided))
    p.close()
    p.join()
    p.terminate()

    line_tr01=lines[0]
    with open(pkl_filename, 'wb') as f:
        pickle.dump(line_tr01, f)
    line_tr02=lines[1]
    with open(pkl_filename, 'wb') as f:
        pickle.dump(line_tr02, f)
    line_tr03=lines[2]
    with open(pkl_filename, 'wb') as f:
        pickle.dump(line_tr03, f)
    line_tr04=lines[3]
    with open(pkl_filename, 'wb') as f:
        pickle.dump(line_tr04, f)

有没有关于我如何停止重写文件的线索 欢迎任何帮助。 提前谢谢

Answer 1

所以问题是，当您将内容分解到池中时，您不再拥有当前（ab）使用的通用全局名称空间。所以让我们重写它来正确地传递信息

def extract(text_lines):
    treatments = dict(tr01=[], tr02=[], tr03=[], tr04=[])
    for line in text_lines:
        treatments['tr01'].append(treatment_a(line, args))
        treatments['tr02'].append(treatment_b(line, args))
        treatments['tr03'].append(treatment_c(line, args))
        treatments['tr04'].append(treatment_d(line, args))
    return treatments

def line_gen(lines, chunk_size=1):
    for i in range(0, len(lines), chunk_size):
        yield lines[i:i + chunk_size]

for file in folder:
    text_lines = read_file_into_list(file_path)
    treatments = dict(tr01=[], tr02=[], tr03=[], tr04=[])
    p = Pool(6)
    for treat_data in p.imap(extract, line_gen(text_lines, chunk_size=int(len(text_lines)/6))):
        for tr, data in treat_data.items():
            treatments[tr].extend(data)

    # Do something with all your data in the treatments dict

这应该将所有数据堆积到一个名为treatments的dict中，因为它返回运行extract的子进程的数据，然后您可以用任何方式写出数据