本文主要是闡述了線程同步python的完成及線程同步有序化，線程同步多用于與此同時(shí)啟用好幾個(gè)函數(shù)公式，cpu時(shí)間片輪著分給好幾個(gè)每日任務(wù)

　　序言

　　線程同步多用于與此同時(shí)啟用好幾個(gè)函數(shù)公式，cpu時(shí)間片輪著分給好幾個(gè)每日任務(wù)。特點(diǎn)是提升cpu的利用率，使電子計(jì)算機(jī)降低解決好幾個(gè)任務(wù)總時(shí)長；主要缺點(diǎn)若是有靜態(tài)變量，啟用好幾個(gè)函數(shù)公式會(huì)讓靜態(tài)變量被好幾個(gè)函數(shù)公式改動(dòng)，導(dǎo)致計(jì)算誤差，這使得必須使用join方法或是設(shè)定靜態(tài)變量去解決問題。python使用threading模塊來達(dá)到線程同步，threading.join()方法是什么確保調(diào)用join的子線程結(jié)束后，才能分派cpu給其它的子線程，充分保證進(jìn)程運(yùn)轉(zhuǎn)的有序化。

　　一、線程同步運(yùn)作混亂難題

　　我們首先要建立3個(gè)案例，t1,t2,t3t1案例調(diào)用function1函數(shù)公式，t2和t3調(diào)用函數(shù)function11函數(shù)公式，她們都是對(duì)靜態(tài)變量l1來操作

　　代碼如下：

　　import threading,time
　　l1=[]
　　#創(chuàng)建RLock鎖，acquire幾次，release幾次
　　lock=threading.RLock()
　　def function1(x,y):
　　for i in range(x):
　　l1.append(i)
　　if i==0:
　　time.sleep(1)
　　end_time=time.time()
　　print("t{}is finished in{}s".format(y,end_time-time1))
　　def function11(x,y):
　　for i in range(x):
　　l1.append(i)
　　end_time=time.time()
　　print("t{}is finished in{}s".format(y,end_time-time1))
　　#2.創(chuàng)建子線程：thread類
　　if __name__=='__main__':
　　t1=threading.Thread(target=function1,args=(100,1))
　　t2=threading.Thread(target=function11,args=(100,2))
　　t3=threading.Thread(target=function11,args=(100,3))
　　time1=time.time()
　　print("time starts in{}".format(time1))
　　t1.start()
　　t2.start()
　　t3.start()
　　print(l1)

　　結(jié)果如下：

　　runfile('E:/桌面/temp.py',wdir='E:/桌面')

　　time starts in 1656474963.9487

　　t2 is finished in 0.0s

　　t3 is finished in 0.0s

　　[0,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99]

　　t1 is finished in 1.0152690410614014s

　　我們可以看到，全局變量中開頭有兩個(gè)0，而不是按著0，1，2，3的方式按序填充，所以可以得知全局變量在多線程中是被多個(gè)函數(shù)無序調(diào)用的。為了保證多線程有序調(diào)用全局變量，我們可以利用threading.join()的方法。

　　二、“join方法”解決多線程運(yùn)行無序問題

　　我們重寫了function1函數(shù)，并命名為function2，t1調(diào)用function2函數(shù)。t2,t3不變。

　　代碼如下：

　　import threading,time
　　l1=[]
　　#創(chuàng)建RLock鎖，acquire幾次，release幾次
　　lock=threading.RLock()
　　def function1(x,y):
　　for i in range(x):
　　l1.append(i)
　　if i==0:
　　time.sleep(1)
　　end_time=time.time()
　　print("t{}is finished in{}s".format(y,end_time-time1))
　　def function11(x,y):
　　for i in range(x):
　　l1.append(i)
　　end_time=time.time()
　　print("t{}is finished in{}s".format(y,end_time-time1))
　　def function2(x,y):
　　for i in range(x):
　　l1.append(i)
　　if i==0:
　　time.sleep(1)
　　end_time=time.time()
　　print("t{}is finished in{}s".format(y,end_time-time1))
　　#2.創(chuàng)建子線程：thread類
　　if __name__=='__main__':
　　t1=threading.Thread(target=function2,args=(100,1))
　　t2=threading.Thread(target=function11,args=(100,2))
　　t3=threading.Thread(target=function11,args=(100,3))
　　time1=time.time()
　　print("time starts in{}".format(time1))
　　t1.start()
　　t1.join()
　　t2.start()
　　t3.start()
　　print(l1)

　　結(jié)果如下:

　　runfile('E:/桌面/temp.py',wdir='E:/桌面')

　　time starts in 1656476057.441827

　　t1 is finished in 1.0155227184295654s

　　t2 is finished in 1.0155227184295654s

　　t3 is finished in 1.0155227184295654s

　　[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99]

　　由此可見，threading.join()方法可以解決多線程無序問題

　　三、threading.Thread()的常見主要參數(shù)

　　1.group：初始值None，要實(shí)現(xiàn)ThreadGroup類而保存

　　2.target：在start方法中啟用可啟用目標(biāo)，即必須打開進(jìn)程可啟用目標(biāo)，例如函數(shù)公式、方式

　　3.name：默認(rèn)“Thread-N”，字符數(shù)組方式的進(jìn)程名字

　　4.args：默認(rèn)空數(shù)組，主要參數(shù)target中傳到可啟用對(duì)象主要參數(shù)數(shù)組

　　5.kwargs：默認(rèn)空詞典{}，主要參數(shù)target中傳到可啟用對(duì)象關(guān)鍵字參數(shù)詞典

　　6.daemon：默認(rèn)None

　　匯總

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