鎖
python的內建資料結構例如列表和字典等是線程安全的,但是簡單資料類型例如整數和浮點數則不是線程安全的,要這些簡單資料類型的通過操作,就需要使用鎖。
#!/usr/bin/env python3 # coding=utf-8 import threading shared_resource_with_lock = 0 shared_resource_with_no_lock = 0 COUNT = 100000 shared_resource_lock = threading.Lock() ####LOCK MANAGEMENT## def increment_with_lock(): global shared_resource_with_lock for i in range(COUNT): shared_resource_lock.acquire() shared_resource_with_lock += 1 shared_resource_lock.release() def decrement_with_lock(): global shared_resource_with_lock for i in range(COUNT): shared_resource_lock.acquire() shared_resource_with_lock -= 1 shared_resource_lock.release() ####NO LOCK MANAGEMENT ## def increment_without_lock(): global shared_resource_with_no_lock for i in range(COUNT): shared_resource_with_no_lock += 1 def decrement_without_lock(): global shared_resource_with_no_lock for i in range(COUNT): shared_resource_with_no_lock -= 1 ####the Main program if __name__ == "__main__": t1 = threading.Thread(target = increment_with_lock) t2 = threading.Thread(target = decrement_with_lock) t3 = threading.Thread(target = increment_without_lock) t4 = threading.Thread(target = decrement_without_lock) t1.start() t2.start() t3.start() t4.start() t1.join() t2.join() t3.join() t4.join() print ("the value of shared variable with lock management is %s"\ %shared_resource_with_lock) print ("the value of shared variable with race condition is %s"\ %shared_resource_with_no_lock)
執行結果:
$ ./threading_lock.py
the value of shared variable with lock management is 0 the value of shared variable with race condition is 0
又如:
import random import threading import time logging.basicConfig(level=logging.DEBUG, format='(%(threadName)-10s) %(message)s', ) class Counter(object): def __init__(self, start=0): self.lock = threading.Lock() self.value = start def increment(self): logging.debug(time.ctime(time.time())) logging.debug('Waiting for lock') self.lock.acquire() try: pause = random.randint(1,3) logging.debug(time.ctime(time.time())) logging.debug('Acquired lock') self.value = self.value + 1 logging.debug('lock {0} seconds'.format(pause)) time.sleep(pause) finally: self.lock.release() def worker(c): for i in range(2): pause = random.randint(1,3) logging.debug(time.ctime(time.time())) logging.debug('Sleeping %0.02f', pause) time.sleep(pause) c.increment() logging.debug('Done') counter = Counter() for i in range(2): t = threading.Thread(target=worker, args=(counter,)) t.start() logging.debug('Waiting for worker threads') main_thread = threading.currentThread() for t in threading.enumerate(): if t is not main_thread: t.join() logging.debug('Counter: %d', counter.value)
執行結果:
$ python threading_lock.py
(Thread-1 ) Tue Sep 15 15:49:18 2015 (Thread-1 ) Sleeping 3.00 (Thread-2 ) Tue Sep 15 15:49:18 2015 (MainThread) Waiting for worker threads (Thread-2 ) Sleeping 2.00 (Thread-2 ) Tue Sep 15 15:49:20 2015 (Thread-2 ) Waiting for lock (Thread-2 ) Tue Sep 15 15:49:20 2015 (Thread-2 ) Acquired lock (Thread-2 ) lock 2 seconds (Thread-1 ) Tue Sep 15 15:49:21 2015 (Thread-1 ) Waiting for lock (Thread-2 ) Tue Sep 15 15:49:22 2015 (Thread-1 ) Tue Sep 15 15:49:22 2015 (Thread-2 ) Sleeping 2.00 (Thread-1 ) Acquired lock (Thread-1 ) lock 1 seconds (Thread-1 ) Tue Sep 15 15:49:23 2015 (Thread-1 ) Sleeping 2.00 (Thread-2 ) Tue Sep 15 15:49:24 2015 (Thread-2 ) Waiting for lock (Thread-2 ) Tue Sep 15 15:49:24 2015 (Thread-2 ) Acquired lock (Thread-2 ) lock 1 seconds (Thread-1 ) Tue Sep 15 15:49:25 2015 (Thread-1 ) Waiting for lock (Thread-1 ) Tue Sep 15 15:49:25 2015 (Thread-1 ) Acquired lock (Thread-1 ) lock 2 seconds (Thread-2 ) Done (Thread-1 ) Done (MainThread) Counter: 4
acquire()中傳入False值,可以檢查是否獲得了鎖。如:
import logging import threading import time logging.basicConfig(level=logging.DEBUG, format='(%(threadName)-10s) %(message)s', ) def lock_holder(lock): logging.debug('Starting') while True: lock.acquire() try: logging.debug('Holding') time.sleep(0.5) finally: logging.debug('Not holding') lock.release() time.sleep(0.5) return def worker(lock): logging.debug('Starting') num_tries = 0 num_acquires = 0 while num_acquires < 3: time.sleep(0.5) logging.debug('Trying to acquire') have_it = lock.acquire(0) try: num_tries += 1 if have_it: logging.debug('Iteration %d: Acquired', num_tries) num_acquires += 1 else: logging.debug('Iteration %d: Not acquired', num_tries) finally: if have_it: lock.release() logging.debug('Done after %d iterations', num_tries) lock = threading.Lock() holder = threading.Thread(target=lock_holder, args=(lock,), name='LockHolder') holder.setDaemon(True) holder.start() worker = threading.Thread(target=worker, args=(lock,), name='Worker') worker.start()
執行結果:
$ python threading_lock_noblock.py
(LockHolder) Starting (LockHolder) Holding (Worker ) Starting (LockHolder) Not holding (Worker ) Trying to acquire (Worker ) Iteration 1: Acquired (LockHolder) Holding (Worker ) Trying to acquire (Worker ) Iteration 2: Not acquired (LockHolder) Not holding (Worker ) Trying to acquire (Worker ) Iteration 3: Acquired (LockHolder) Holding (Worker ) Trying to acquire (Worker ) Iteration 4: Not acquired (LockHolder) Not holding (Worker ) Trying to acquire (Worker ) Iteration 5: Acquired (Worker ) Done after 5 iterations
線程安全鎖
threading.RLock()
傳回可重入鎖物件。重入鎖必須由獲得它的執行緒釋放。一旦線程獲得了重入鎖,同一線程可不阻塞地再次獲得,獲取之後必須釋放。
通常一個執行緒只能取得一次鎖:
import threading lock = threading.Lock() print 'First try :', lock.acquire() print 'Second try:', lock.acquire(0)
執行結果:
$ python threading_lock_reacquire.py
First try : True Second try: False
使用RLock可以取得多次鎖定:
import threading lock = threading.RLock() print 'First try :', lock.acquire() print 'Second try:', lock.acquire(0)
執行結果:
python threading_rlock.py
First try : True Second try: 1
再來看一個例子:
#!/usr/bin/env python3 # coding=utf-8 import threading import time class Box(object): lock = threading.RLock() def __init__(self): self.total_items = 0 def execute(self,n): Box.lock.acquire() self.total_items += n Box.lock.release() def add(self): Box.lock.acquire() self.execute(1) Box.lock.release() def remove(self): Box.lock.acquire() self.execute(-1) Box.lock.release() ## These two functions run n in separate ## threads and call the Box's methods def adder(box,items): while items > 0: print ("adding 1 item in the box\n") box.add() time.sleep(5) items -= 1 def remover(box,items): while items > 0: print ("removing 1 item in the box") box.remove() time.sleep(5) items -= 1 ## the main program build some ## threads and make sure it works if __name__ == "__main__": items = 5 print ("putting %s items in the box " % items) box = Box() t1 = threading.Thread(target=adder,args=(box,items)) t2 = threading.Thread(target=remover,args=(box,items)) t1.start() t2.start() t1.join() t2.join() print ("%s items still remain in the box " % box.total_items)
執行結果:
$ python3 threading_rlock2.py
putting 5 items in the box adding 1 item in the box removing 1 item in the box adding 1 item in the box removing 1 item in the box adding 1 item in the box removing 1 item in the box removing 1 item in the box adding 1 item in the box removing 1 item in the box adding 1 item in the box 0 items still remain in the box

Python适合数据科学、Web开发和自动化任务,而C 适用于系统编程、游戏开发和嵌入式系统。Python以简洁和强大的生态系统著称,C 则以高性能和底层控制能力闻名。

2小時內可以學會Python的基本編程概念和技能。 1.學習變量和數據類型,2.掌握控制流(條件語句和循環),3.理解函數的定義和使用,4.通過簡單示例和代碼片段快速上手Python編程。

Python在web開發、數據科學、機器學習、自動化和腳本編寫等領域有廣泛應用。 1)在web開發中,Django和Flask框架簡化了開發過程。 2)數據科學和機器學習領域,NumPy、Pandas、Scikit-learn和TensorFlow庫提供了強大支持。 3)自動化和腳本編寫方面,Python適用於自動化測試和系統管理等任務。

兩小時內可以學到Python的基礎知識。 1.學習變量和數據類型,2.掌握控制結構如if語句和循環,3.了解函數的定義和使用。這些將幫助你開始編寫簡單的Python程序。

如何在10小時內教計算機小白編程基礎?如果你只有10個小時來教計算機小白一些編程知識,你會選擇教些什麼�...

使用FiddlerEverywhere進行中間人讀取時如何避免被檢測到當你使用FiddlerEverywhere...

Python3.6環境下加載Pickle文件報錯:ModuleNotFoundError:Nomodulenamed...

如何解決jieba分詞在景區評論分析中的問題?當我們在進行景區評論分析時,往往會使用jieba分詞工具來處理文�...


熱AI工具

Undresser.AI Undress
人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover
用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool
免費脫衣圖片

Clothoff.io
AI脫衣器

AI Hentai Generator
免費產生 AI 無盡。

熱門文章

熱工具

MinGW - Minimalist GNU for Windows
這個專案正在遷移到osdn.net/projects/mingw的過程中,你可以繼續在那裡關注我們。 MinGW:GNU編譯器集合(GCC)的本機Windows移植版本,可自由分發的導入函式庫和用於建置本機Windows應用程式的頭檔;包括對MSVC執行時間的擴展,以支援C99功能。 MinGW的所有軟體都可以在64位元Windows平台上運作。

SAP NetWeaver Server Adapter for Eclipse
將Eclipse與SAP NetWeaver應用伺服器整合。

記事本++7.3.1
好用且免費的程式碼編輯器

Dreamweaver Mac版
視覺化網頁開發工具

SublimeText3 Linux新版
SublimeText3 Linux最新版