小编abh*_*hek的帖子

我有一个具有以下属性的模型

from django.db import models
class ApiLogs(models.Model):
    user_id = models.BigIntegerField(null=True)
    ip = models.CharField(max_length=16)
    user_agent = models.TextField(blank=True, null=True)
    client = models.CharField(max_length=50, blank=True, null=True)
    client_version = models.CharField(max_length=50, blank=True, null=True)
    token = models.TextField(blank=True, null=True)
    uri = models.CharField(max_length=200)
    method = models.CharField(max_length=20)

我已经定义了一个序列化器

from rest_framework import serializers
class ApiSerializer(serializers.Serializer):
    user_id = serializers.BigIntegerField( allow_null=True)
    ip = serializers.CharField(max_length=16)
    user_agent = serializers.TextField(allow_blank=True, allow_null=True)
    client = serializers.CharField(max_length=50, allow_blank=True, allow_null=True)
    client_version = serializers.CharField(max_length=50, allow_blank=True, allow_null=True)
    token = serializers.TextField(allow_blank=True, allow_null=True)
    uri = serializers.CharField(max_length=200)
    method = serializers.CharField(max_length=20)

但它显示的错误有点像这样

user_id = serializers.BigIntegerField( allow_null=True) …

我想做的是每个过程都使用全局变量。但是我的过程没有采用全球价值观

import multiprocessing

count = 0 

def smile_detection(thread_name):
    global count

    for x in range(10):
        count +=1
        print thread_name,count

    return count    

x = multiprocessing.Process(target=smile_detection, args=("Thread1",))
y = multiprocessing.Process(target=smile_detection, args=("Thread2",))
x.start()
y.start()

我正在输出像

Thread1 1
Thread1 2
.
.
Thread1 9
Thread1 10
Thread2 1
Thread2 2
.
.
Thread2 9
Thread2 10

我想要的是

Thread1 1
Thread1 2
.
.
Thread1 9
Thread1 10
Thread2 11
Thread2 12
.
.
Thread2 19
Thread2 20

我必须要做些什么才能做到这一点？