python文件拆分与重组实例

yipeiwu_com6年前Python基础

文件拆分代码:

#-*-encoding:utf-8-*-

 

import os

import sys

import threading

 

def getFileSize(file):

 file.seek(0, os.SEEK_END)

 fileLength = file.tell()

 file.seek(0, 0)

 return fileLength

 

def divideFile():

 fileFullPath = r"%s" % raw_input("File path: ").strip("\"")

 divideTotalPartsCount = int(raw_input("How many parts do you like to divide?: "))

 if os.path.exists(fileFullPath):

  file = open(fileFullPath, 'rb')

  fileSize = getFileSize(file)

  file.close()

  # send file content

  for i in range(divideTotalPartsCount):

   filePartSender = threading.Thread(target=seperateFilePart, args=(fileFullPath, divideTotalPartsCount, i+1, fileSize))

   filePartSender.start()

  

  for i in range(divideTotalPartsCount):

   sem.acquire()

  os.remove(fileFullPath)

 else:

  print "File doesn't exist"

 

def seperateFilePart(fileFullPath, divideTotalPartsCount, threadIndex, fileSize):

 try:

  # calculate start position and end position

  filePartSize = fileSize / divideTotalPartsCount

  startPosition = filePartSize * (threadIndex - 1)

  #print "Thread : %d, startPosition: %d" % (threadIndex, startPosition)

  endPosition = filePartSize * threadIndex - 1

  if threadIndex == divideTotalPartsCount:

   endPosition = fileSize - 1

   filePartSize = fileSize - startPosition

  file = open(fileFullPath, "rb")

  file.seek(startPosition)

  filePartName = fileFullPath + ".part" + str(threadIndex)

  filePart = open(filePartName, "wb")

  lengthWritten = 0

  while lengthWritten < filePartSize:

   bufLen = 1024

   lengthLeft = filePartSize - lengthWritten

   if lengthLeft < 1024:

    bufLen = lengthLeft

   buf = file.read(bufLen)

   filePart.write(buf)

   lengthWritten += len(buf)

  filePart.close()

  file.close()

  sem.release()

  print "Part %d finished, size %d" % (threadIndex, filePartSize)

 except Exception, e:

  print e

 

sem = threading.Semaphore(0)

while True:

 divideFile()

文件重组代码:

#-*-encoding:utf-8-*-

import os

def getFileSize(file):

 file.seek(0, os.SEEK_END)

 fileLength = file.tell()

 file.seek(0, 0)

 return fileLength

 

def rebuildFile():

 fileFullPath = r"%s" % raw_input("File base path: ").strip("\"")

 divideTotalPartsCount = int(raw_input("How many parts have you divided?: "))

 file = open(fileFullPath, "wb")

 for i in range(divideTotalPartsCount):

  filePartName = fileFullPath + ".part" + str(i+1)

  filePart = open(filePartName, "rb")

  filePartSize = getFileSize(filePart)

  lengthWritten = 0

  while lengthWritten < filePartSize:

   bufLen = 1024

   buf = filePart.read(bufLen)

   file.write(buf)

   lengthWritten += len(buf)

  filePart.close()

  os.remove(filePartName)

 file.close()

 

while True:

 rebuildFile()

 

拆分文件演示:

源文件:

python文件拆分与重组

拆分:

python文件拆分与重组

拆分后文件:

python文件拆分与重组

重组文件:

python文件拆分与重组

重组后文件:

python文件拆分与重组

以上这篇python文件拆分与重组实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

python常用库之NumPy和sklearn入门

python常用库之NumPy和sklearn入门

Numpy 和 scikit-learn 都是python常用的第三方库。numpy库可以用来存储和处理大型矩阵,并且在一定程度上弥补了python在运算效率上的不足,正是因为numpy...

Python实现二维曲线拟合的方法

如下所示: from numpy import * import numpy as np import matplotlib.pyplot as plt plt.close() f...

Python实现一个带权无回置随机抽选函数的方法

需求 有一个抽奖应用,从所有参与的用户抽出K位中奖用户(K=奖品数量),且要根据每位用户拥有的抽奖码数量作为权重。 如假设有三个用户及他们的权重是: A(1), B(1), C(2)。...

Python+matplotlib实现计算两个信号的交叉谱密度实例

Python+matplotlib实现计算两个信号的交叉谱密度实例

 计算两个信号的交叉谱密度 结果展示: 完整代码: import numpy as np import matplotlib.pyplot as plt fig,...

python和shell变量互相传递的几种方法

python -> shell: 1.环境变量 复制代码 代码如下:import os  var=123或var='123'os.environ['var']=str(v...