python模块学习（threading模块的方法）

学习版本3.5.2

Lock() 创建一个Lock对象并返回

RLock() 创建一个RLock对象并返回

active_count() 返回当前未被阻塞的线程的数量

current_thread() 返回当前的线程对象

enumerate() 返回当前未被阻塞的对象的list

setprofile(func)和settrace(func) 设置一个function在所有的线程对象的run()方法运行之前调用

stack_size(...) 修改创建线程时候使用的栈空间大小，参数为0（使用平台的默认参数或者设置好的参数）或者大于32768(32k)的整数。返回创建线程时候使用的栈空间大小(0（使用平台的默认参数或者设置好的参数）)

实验代码：

#/usr/bin/python3# -*- utf-8 -*-#学习版本3.5.2import threadingimport timeclass Chick(threading.Thread):    def __init__(self, name=""):        super(Chick, self).__init__(name=name)        threading.settrace(funct)        threading.setprofile(funcp)    def run(self):        print(self.getName(),": 等待中")        time.sleep(3)def funct(*args):    print("trace")    print(args)def funcp(*args):    print("profile")    print(args)if __name__ == "__main__":    c1 = Chick(name="A")    c2 = Chick(name="B")    c3 = Chick(name="C")    c1.start()    c2.start()    c3.start()    print(threading.active_count())    print(threading.current_thread().getName())    print(threading.stack_size(65536))    print(threading.stack_size())    print("main")

运行结果

trace(<frame object at 0x101ca9048>, 'call', None)profile(<frame object at 0x101ca9048>, 'call', None)trace(<frame object at 0x101c3ca38>, 'call', None)profile(<frame object at 0x101c3ca38>, 'call', None)trace(<frame object at 0x101ca6558>, 'call', None)profile(<frame object at 0x101ca6558>, 'call', None)profile(<frame object at 0x101ca6558>, 'return', 'A')profile(<frame object at 0x101c3ca38>, 'return', 'A')profile(<frame object at 0x101ca9048>, 'c_call', <built-in function print>)A : 等待中profile(<frame object at 0x101ca9048>, 'c_return', <built-in function print>)profile(<frame object at 0x101ca9048>, 'c_call', <built-in function sleep>)trace(<frame object at 0x101ca9200>, 'call', None)trace4(<frame object at 0x101ca93b8>, 'call', None)MainThreadprofile065536(<frame object at 0x101ca93b8>, 'call', None)mainprofiletrace(<frame object at 0x101ca9200>, 'call', None)(<frame object at 0x101c3ca38>, 'call', None)profile...