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。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

How to download DeepSeek Xiaomi? Search for "DeepSeek" in the Xiaomi App Store. If it is not found, continue to step 2. Identify your needs (search files, data analysis), and find the corresponding tools (such as file managers, data analysis software) that include DeepSeek functions.

The key to using DeepSeek effectively is to ask questions clearly: express the questions directly and specifically. Provide specific details and background information. For complex inquiries, multiple angles and refute opinions are included. Focus on specific aspects, such as performance bottlenecks in code. Keep a critical thinking about the answers you get and make judgments based on your expertise.

Just use the search function that comes with DeepSeek. Its powerful semantic analysis algorithm can accurately understand the search intention and provide relevant information. However, for searches that are unpopular, latest information or problems that need to be considered, it is necessary to adjust keywords or use more specific descriptions, combine them with other real-time information sources, and understand that DeepSeek is just a tool that requires active, clear and refined search strategies.

DeepSeek is not a programming language, but a deep search concept. Implementing DeepSeek requires selection based on existing languages. For different application scenarios, it is necessary to choose the appropriate language and algorithms, and combine machine learning technology. Code quality, maintainability, and testing are crucial. Only by choosing the right programming language, algorithms and tools according to your needs and writing high-quality code can DeepSeek be successfully implemented.

Question: Is DeepSeek available for accounting? Answer: No, it is a data mining and analysis tool that can be used to analyze financial data, but it does not have the accounting record and report generation functions of accounting software. Using DeepSeek to analyze financial data requires writing code to process data with knowledge of data structures, algorithms, and DeepSeek APIs to consider potential problems (e.g. programming knowledge, learning curves, data quality)

Python is an ideal programming introduction language for beginners through its ease of learning and powerful features. Its basics include: Variables: used to store data (numbers, strings, lists, etc.). Data type: Defines the type of data in the variable (integer, floating point, etc.). Operators: used for mathematical operations and comparisons. Control flow: Control the flow of code execution (conditional statements, loops).

Pythonempowersbeginnersinproblem-solving.Itsuser-friendlysyntax,extensivelibrary,andfeaturessuchasvariables,conditionalstatements,andloopsenableefficientcodedevelopment.Frommanagingdatatocontrollingprogramflowandperformingrepetitivetasks,Pythonprovid

Detailed explanation of DeepSeekAPI access and call: Quick Start Guide This article will guide you in detail how to access and call DeepSeekAPI, helping you easily use powerful AI models. Step 1: Get the API key to access the DeepSeek official website and click on the "Open Platform" in the upper right corner. You will get a certain number of free tokens (used to measure API usage). In the menu on the left, click "APIKeys" and then click "Create APIkey". Name your APIkey (for example, "test") and copy the generated key right away. Be sure to save this key properly, as it will only be displayed once
