#!/usr/bin/py2
# -*- coding: utf-8 -*-
#encoding=utf-8
'''''
ftp自动下载、自动上传脚本,可以递归目录操作
'''
from ftplib import FTP
import os, sys, string, datetime, time
import socket
class FtpClient:
def __init__(self, host, user, passwd, remotedir, port=21):
self.hostaddr = host
self.username = user
self.password = passwd
self.remotedir = remotedir
self.port = port
self.ftp = FTP()
self.file_list = []
def __del__(self):
self.ftp.close()
def login(self):
ftp = self.ftp
try:
timeout = 60
socket.setdefaulttimeout(timeout)
ftp.set_pasv(True)
ftp.connect(self.hostaddr, self.port)
print 'Connect Success %s' %(self.hostaddr)
ftp.login(self.username, self.password)
print 'Login Success %s' %(self.hostaddr)
debug_print(ftp.getwelcome())
except Exception:
deal_error("Connect Error or Login Error")
try:
ftp.cwd(self.remotedir)
except(Exception):
deal_error('Change Directory Error')
def is_same_size(self, localfile, remotefile):
try:
remotefile_size = self.ftp.size(remotefile)
except:
remotefile_size = -1
try:
localfile_size = os.path.getsize(localfile)
except:
localfile_size = -1
debug_print('lo:%d re:%d' %(localfile_size, remotefile_size),)
if remotefile_size == localfile_size:
return 1
else:
return 0
def download_file(self, localfile, remotefile):
if self.is_same_size(localfile, remotefile):
return
else:
pass
file_handler = open(localfile, 'wb')
self.ftp.retrbinary('RETR %s'%(remotefile), file_handler.write)
file_handler.close()
def download_files(self, localdir='./', remotedir='./'):
try:
self.ftp.cwd(remotedir)
except:
return
if not os.path.isdir(localdir):
os.makedirs(localdir)
self.file_list = []
self.ftp.dir(self.get_file_list)
remotenames = self.file_list
for item in remotenames:
filetype = item[0]
filename = item[1]
local = os.path.join(localdir, filename)
if filetype == 'd':
self.download_files(local, filename)
elif filetype == '-':
self.download_file(local, filename)
self.ftp.cwd('..')
def upload_file(self, localfile, remotefile):
if not os.path.isfile(localfile):
return
if self.is_same_size(localfile, remotefile):
return
file_handler = open(localfile, 'rb')
self.ftp.storbinary('STOR %s' %remotefile, file_handler)
file_handler.close()
def upload_files(self, localdir='./', remotedir = './'):
if not os.path.isdir(localdir):
return
localnames = os.listdir(localdir)
self.ftp.cwd(remotedir)
for item in localnames:
src = os.path.join(localdir, item)
if os.path.isdir(src):
try:
self.ftp.mkd(item)
except:
debug_print('Directory Exists %s' %item)
self.upload_files(src, item)
else:
self.upload_file(src, item)
self.ftp.cwd('..')
def mkdir(self, remotedir='./'):
try:
self.ftp.mkd(remotedir)
except:
debug_print('Directory Exists %s' %remotedir)
def get_file_list(self, line):
ret_arr = []
file_arr = self.get_filename(line)
if file_arr[1] not in ['.', '..']:
self.file_list.append(file_arr)
def get_filename(self, line):
pos = line.rfind(':')
while(line[pos] != ' '):
pos += 1
while(line[pos] == ' '):
pos += 1
file_arr = [line[0], line[pos:]]
return file_arr
def debug_print(str):
print (str)
def deal_error(e):
timenow = time.localtime()
datenow = time.strftime('%Y-%m-%d', timenow)
logstr = '%s Error: %s' %(datenow, e)
debug_print(logstr)
file.write(logstr)
sys.exit()

Arraysinpython,尤其是Vianumpy,ArecrucialInsCientificComputingfortheireftheireffertheireffertheirefferthe.1)Heasuedfornumerericalicerationalation,dataAnalysis和Machinelearning.2)Numpy'Simpy'Simpy'simplementIncressionSressirestrionsfasteroperoperoperationspasterationspasterationspasterationspasterationspasterationsthanpythonlists.3)inthanypythonlists.3)andAreseNableAblequick

你可以通過使用pyenv、venv和Anaconda來管理不同的Python版本。 1)使用pyenv管理多個Python版本:安裝pyenv,設置全局和本地版本。 2)使用venv創建虛擬環境以隔離項目依賴。 3)使用Anaconda管理數據科學項目中的Python版本。 4)保留系統Python用於系統級任務。通過這些工具和策略,你可以有效地管理不同版本的Python,確保項目順利運行。

numpyarrayshaveseveraladagesoverandastardandpythonarrays:1)基於基於duetoc的iMplation,2)2)他們的aremoremoremorymorymoremorymoremorymoremorymoremoremory,尤其是WithlargedAtasets和3)效率化,效率化,矢量化函數函數函數函數構成和穩定性構成和穩定性的操作,製造

數組的同質性對性能的影響是雙重的:1)同質性允許編譯器優化內存訪問,提高性能;2)但限制了類型多樣性,可能導致效率低下。總之,選擇合適的數據結構至關重要。

到CraftCraftExecutablePythcripts,lollow TheSebestPractices:1)Addashebangline(#!/usr/usr/bin/envpython3)tomakethescriptexecutable.2)setpermissionswithchmodwithchmod xyour_script.3)

numpyArraysareAreBetterFornumericalialoperations andmulti-demensionaldata,而learthearrayModuleSutableforbasic,內存效率段

numpyArraySareAreBetterForHeAvyNumericalComputing,而lelethearRayModulesiutable-usemoblemory-connerage-inderabledsswithSimpleDatateTypes.1)NumpyArsofferVerverVerverVerverVersAtility andPerformanceForlargedForlargedAtatasetSetsAtsAndAtasEndCompleXoper.2)

ctypesallowscreatingingangandmanipulatingc-stylarraysinpython.1)usectypestoInterfacewithClibrariesForperfermance.2)createc-stylec-stylec-stylarraysfornumericalcomputations.3)passarraystocfunctions foreforfunctionsforeffortions.however.however,However,HoweverofiousofmemoryManageManiverage,Pressiveo,Pressivero


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