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  • Flask快速入门(12) — local与偏函数

    多个线程修改同一个数据,复制多份变量给每个线程用,比如我们用的request,怎样让不同的请求有自己的request。就是为每个线程开辟一块空间进行数据存储

    不用threading.local

    from threading import Thread
    import time
    ctx = -1
    def task(arg):
        global ctx
        ctx = arg
        # time.sleep(2)
        print(ctx)
    
    for i in range(10):
        t = Thread(target=task,args=(i,))
        t.start()
    

    使用threading.local

    from threading import Thread,local
    # 特殊的对象
    ctx = local()
    def task(arg):
        ctx.value = arg
        # time.sleep(2)
        print(ctx.value)
    for i in range(10):
        t = Thread(target=task,args=(i,))
        t.start()
    

    通过字典自定义threading.local(函数)

    from threading import Thread, get_ident
    storage = {}
    def set(k, v):
        ident = get_ident()  # 获取线程id
        if ident in storage:
            storage[ident][k] = v
        else:
            storage[ident] = {k: v}
    def get(k):
        ident = get_ident()
        return storage[ident][k]
    def task(arg):
        set('val', arg)
        v = get('val')
        print(v)
    for i in range(10):
        t = Thread(target=task, args=(i,))
        t.start()
    

    面向对象版

    from threading import Thread,get_ident
    class Local(object):
        storage = {}
        def get(self,k):
            ident = get_ident()
            return Local.storage[ident][k]
    
        def set(self,k,v):
            ident = get_ident()
            if ident in Local.storage:
                Local.storage[ident][k] = v
            else:
                Local.storage[ident] = {k:v}
    obj = Local()
    def task(arg):
        obj.set('val',arg)
        v = obj.get('val')
        print(v)
    
    for i in range(10):
        t = Thread(target=task,args=(i,))
        t.start()
    

    通过setattr和getattr实现

    from threading import Thread,get_ident
    
    class Local(object):
        storage = {}
        def __setattr__(self, key, value):
            ident = get_ident()
            if ident in self.storage:
                self.storage[ident][key] = value
            else:
                self.storage[ident] = {key:value}
    
        def __getattr__(self, key):
            ident = get_ident()
            return self.storage[ident][key]
    obj = Local()
    def task(arg):
        obj.value = arg
        print(obj.value)
    
    for i in range(10):
        t = Thread(target=task,args=(i,))
        t.start()
    

    每个对象有自己的存储空间(字典)

    from threading import Thread,get_ident
    
    class Local(object):
        def __init__(self):
            object.__setattr__(self,'storage',{})
            # self.storage = {}
        def __setattr__(self, key, value):
            ident = get_ident()
            if ident in self.storage:
                self.storage[ident][key] = value
            else:
                self.storage[ident] = {key:value}
        def __getattr__(self, key):
            ident = get_ident()
            return self.storage[ident][key]
    obj = Local()
    def task(arg):
        obj.value = arg
        print(obj.value)
    for i in range(10):
        t = Thread(target=task,args=(i,))
        t.start()
    

    兼容线程和协程(源码到request中去看,看local的__getattr__,setattr)

    # 如果是协程get_ident获取的是协程id
    try:
        from greenlet import getcurrent as get_ident  
    except Exception as e:
        from threading import get_ident
    from threading import Thread
    import time
    class Local(object):
        def __init__(self):
            object.__setattr__(self,'storage',{})
        def __setattr__(self, k, v):
            ident = get_ident()
            if ident in self.storage:
                self.storage[ident][k] = v
            else:
                self.storage[ident] = {k: v}
        def __getattr__(self, k):
            ident = get_ident()
            return self.storage[ident][k]
    obj = Local()
    def task(arg):
        obj.val = arg
        obj.xxx = arg
        print(obj.val)
    for i in range(10):
        t = Thread(target=task,args=(i,))
        t.start()
       
    

    partial偏函数

    # 偏函数的第二个部分(可变参数),按原有函数的参数顺序进行补充,参数将作用在原函数上,最后偏函数返回一个新函数
    from functools import partial
    def test(a,b,c,d):
        return a+b+c+d
    
    tes=partial(test,1,2)
    print(tes(3,4))
    
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  • 原文地址:https://www.cnblogs.com/863652104kai/p/11688602.html
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