python开发之基于thread线程搜索本地文件的方法
本文实例讲述了python开发之基于thread线程搜索本地文件的方法。分享给大家供大家参考,具体如下:
先来看看运行效果图:
利用多个线程处理搜索的问题,我们可以发现他很快....
下面是代码部分:
# A parallelized "find(1)" using the thread module. # This demonstrates the use of a work queue and worker threads. # It really does do more stats/sec when using multiple threads, # although the improvement is only about 20-30 percent. # (That was 8 years ago. In 2002, on Linux, I can't measure # a speedup. :-( ) # I'm too lazy to write a command line parser for the full find(1) # command line syntax, so the predicate it searches for is wired-in, # see function selector() below. (It currently searches for files with # world write permission.) # Usage: parfind.py [-w nworkers] [directory] ... # Default nworkers is 4 import sys import getopt import time import os from stat import * import _thread as thread # Work queue class. Usage: # wq = WorkQ() # wq.addwork(func, (arg1, arg2, ...)) # one or more calls # wq.run(nworkers) # The work is done when wq.run() completes. # The function calls executed by the workers may add more work. # Don't use keyboard interrupts! class WorkQ: # Invariants: # - busy and work are only modified when mutex is locked # - len(work) is the number of jobs ready to be taken # - busy is the number of jobs being done # - todo is locked iff there is no work and somebody is busy def __init__(self): self.mutex = thread.allocate() self.todo = thread.allocate() self.todo.acquire() self.work = [] self.busy = 0 def addwork(self, func, args): job = (func, args) self.mutex.acquire() self.work.append(job) self.mutex.release() if len(self.work) == 1: self.todo.release() def _getwork(self): self.todo.acquire() self.mutex.acquire() if self.busy == 0 and len(self.work) == 0: self.mutex.release() self.todo.release() return None job = self.work[0] del self.work[0] self.busy = self.busy + 1 self.mutex.release() if len(self.work) > 0: self.todo.release() return job def _donework(self): self.mutex.acquire() self.busy = self.busy - 1 if self.busy == 0 and len(self.work) == 0: self.todo.release() self.mutex.release() def _worker(self): time.sleep(0.00001) # Let other threads run while 1: job = self._getwork() if not job: break func, args = job func(*args) self._donework() def run(self, nworkers): if not self.work: return # Nothing to do for i in range(nworkers-1): thread.start_new(self._worker, ()) self._worker() self.todo.acquire() # Main program def main(): nworkers = 4 #print(getopt.getopt(sys.argv[1:], '-w:')) opts, args = getopt.getopt(sys.argv[1:], '-w:') for opt, arg in opts: if opt == '-w': nworkers = int(arg) if not args: #print(os.curdir) args = [os.curdir] wq = WorkQ() for dir in args: wq.addwork(find, (dir, selector, wq)) t1 = time.time() wq.run(nworkers) t2 = time.time() sys.stderr.write('Total time %r sec.\n' % (t2-t1)) # The predicate -- defines what files we look for. # Feel free to change this to suit your purpose def selector(dir, name, fullname, stat): # Look for world writable files that are not symlinks return (stat[ST_MODE] & 0o002) != 0 and not S_ISLNK(stat[ST_MODE]) # The find procedure -- calls wq.addwork() for subdirectories def find(dir, pred, wq): try: names = os.listdir(dir) except os.error as msg: print(repr(dir), ':', msg) return for name in names: if name not in (os.curdir, os.pardir): fullname = os.path.join(dir, name) try: stat = os.lstat(fullname) except os.error as msg: print(repr(fullname), ':', msg) continue if pred(dir, name, fullname, stat): print(fullname) if S_ISDIR(stat[ST_MODE]): if not os.path.ismount(fullname): wq.addwork(find, (fullname, pred, wq)) # Call the main program main()
希望本文所述对大家Python程序设计有所帮助。

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

Video Face Swap
使用我們完全免費的人工智慧換臉工具,輕鬆在任何影片中換臉!

熱門文章

熱工具

記事本++7.3.1
好用且免費的程式碼編輯器

SublimeText3漢化版
中文版,非常好用

禪工作室 13.0.1
強大的PHP整合開發環境

Dreamweaver CS6
視覺化網頁開發工具

SublimeText3 Mac版
神級程式碼編輯軟體(SublimeText3)

PHP主要是過程式編程,但也支持面向對象編程(OOP);Python支持多種範式,包括OOP、函數式和過程式編程。 PHP適合web開發,Python適用於多種應用,如數據分析和機器學習。

PHP適合網頁開發和快速原型開發,Python適用於數據科學和機器學習。 1.PHP用於動態網頁開發,語法簡單,適合快速開發。 2.Python語法簡潔,適用於多領域,庫生態系統強大。

在 Sublime Text 中運行 Python 代碼,需先安裝 Python 插件,再創建 .py 文件並編寫代碼,最後按 Ctrl B 運行代碼,輸出會在控制台中顯示。

PHP起源於1994年,由RasmusLerdorf開發,最初用於跟踪網站訪問者,逐漸演變為服務器端腳本語言,廣泛應用於網頁開發。 Python由GuidovanRossum於1980年代末開發,1991年首次發布,強調代碼可讀性和簡潔性,適用於科學計算、數據分析等領域。

Python更適合初學者,學習曲線平緩,語法簡潔;JavaScript適合前端開發,學習曲線較陡,語法靈活。 1.Python語法直觀,適用於數據科學和後端開發。 2.JavaScript靈活,廣泛用於前端和服務器端編程。

Golang在性能和可擴展性方面優於Python。 1)Golang的編譯型特性和高效並發模型使其在高並發場景下表現出色。 2)Python作為解釋型語言,執行速度較慢,但通過工具如Cython可優化性能。

在 Visual Studio Code(VSCode)中編寫代碼簡單易行,只需安裝 VSCode、創建項目、選擇語言、創建文件、編寫代碼、保存並運行即可。 VSCode 的優點包括跨平台、免費開源、強大功能、擴展豐富,以及輕量快速。

在 Notepad 中運行 Python 代碼需要安裝 Python 可執行文件和 NppExec 插件。安裝 Python 並為其添加 PATH 後,在 NppExec 插件中配置命令為“python”、參數為“{CURRENT_DIRECTORY}{FILE_NAME}”,即可在 Notepad 中通過快捷鍵“F6”運行 Python 代碼。
