生成文件的MD5和sha1
#coding=UTF-8 def fil_changefileext(filename,extname=''): # FIL ChangeFileExt 改变文件扩展名 # filename 输入的文件路径名 # extname='' 要更改分扩展名,如 .txt import os try: if extname[0]<>'.': extname='.'+extname except: extname='' if os.path.splitext(filename)[1]=='': uouttxt=filename+'.'+extname elif os.path.splitext(filename)[1]=='.': uouttxt=filename+extname else: uouttxt=filename[:0-len(os.path.splitext(filename)[1])]+extname return uouttxt def fil_str2file(fstr,filename): # FIL STR2File 把字符串保存到文件 try: outfile=open(filename,'w') outfile.writelines(fstr) outfile.close() return True except: return False #系统主程序开始 #------------------------------------------------------- if __name__ == '__main__': import os,sys,math # if len(sys.argv)==1:sys.argv.append(r'c:\FreeNAS-8.0.4-RELEASE-x64.iso') if len(sys.argv)>1: filepathname=sys.argv[1] if os.path.isfile(filepathname) : fmaxs = os.path.getsize(filepathname)+0.00 fpos = 0.00 ppos=0 pmax=50 pjy=0 fmd5=fil_changefileext(filepathname,'.md5') fsha1=fil_changefileext(filepathname,'.sha') ffm=os.path.basename(filepathname) #开始处理 print 'Program Runing "'+filepathname+'" ...' import hashlib try: umd5str = hashlib.md5() usha1str = hashlib.sha1() xfilepathname=unicode(filepathname,'utf8') #需要使用二进制格式读取文件内容 ufile = file(xfilepathname,'rb') while True: datas = ufile.read(1024*512) if not datas: break umd5str.update( datas ) usha1str.update( datas ) fpos=fpos+1024*512 ppos=int(math.floor(fpos / fmaxs * 50)) pposbfh=int(math.floor(fpos / fmaxs * 100)) #打印进度条 if pjy<>ppos: print '['+'*'*ppos +'='*(pmax-ppos)+'] '+str(pposbfh) +'%' #打印进度问题未解决,不知道print函数怎么退回到行首覆盖输出,不换行我倒是知道,加个“,” pjy=ppos uoutstrmd5=str(umd5str.hexdigest()) uoutstrsha1=str(usha1str.hexdigest()) ufile.close() print '' fil_str2file(uoutstrmd5+' *'+ffm+'\n',fmd5) fil_str2file(uoutstrsha1+' *'+ffm+'\n',fsha1) print 'Task is completed !' + r' [ XingHe Studio File to MD5 and SHA1 ]' except: print 'Error !' + r' [ XingHe Studio File to MD5 and SHA1 ]' else: print 'File "'+filepathname+'" not exist!'+ r' [ XingHe Studio File to MD5 and SHA1 ]' else: print r' [ XingHe Studio File to MD5 and SHA1 ]'

ToappendelementstoaPythonlist,usetheappend()methodforsingleelements,extend()formultipleelements,andinsert()forspecificpositions.1)Useappend()foraddingoneelementattheend.2)Useextend()toaddmultipleelementsefficiently.3)Useinsert()toaddanelementataspeci

TocreateaPythonlist,usesquarebrackets[]andseparateitemswithcommas.1)Listsaredynamicandcanholdmixeddatatypes.2)Useappend(),remove(),andslicingformanipulation.3)Listcomprehensionsareefficientforcreatinglists.4)Becautiouswithlistreferences;usecopy()orsl

In the fields of finance, scientific research, medical care and AI, it is crucial to efficiently store and process numerical data. 1) In finance, using memory mapped files and NumPy libraries can significantly improve data processing speed. 2) In the field of scientific research, HDF5 files are optimized for data storage and retrieval. 3) In medical care, database optimization technologies such as indexing and partitioning improve data query performance. 4) In AI, data sharding and distributed training accelerate model training. System performance and scalability can be significantly improved by choosing the right tools and technologies and weighing trade-offs between storage and processing speeds.

Pythonarraysarecreatedusingthearraymodule,notbuilt-inlikelists.1)Importthearraymodule.2)Specifythetypecode,e.g.,'i'forintegers.3)Initializewithvalues.Arraysofferbettermemoryefficiencyforhomogeneousdatabutlessflexibilitythanlists.

In addition to the shebang line, there are many ways to specify a Python interpreter: 1. Use python commands directly from the command line; 2. Use batch files or shell scripts; 3. Use build tools such as Make or CMake; 4. Use task runners such as Invoke. Each method has its advantages and disadvantages, and it is important to choose the method that suits the needs of the project.

ForhandlinglargedatasetsinPython,useNumPyarraysforbetterperformance.1)NumPyarraysarememory-efficientandfasterfornumericaloperations.2)Avoidunnecessarytypeconversions.3)Leveragevectorizationforreducedtimecomplexity.4)Managememoryusagewithefficientdata

InPython,listsusedynamicmemoryallocationwithover-allocation,whileNumPyarraysallocatefixedmemory.1)Listsallocatemorememorythanneededinitially,resizingwhennecessary.2)NumPyarraysallocateexactmemoryforelements,offeringpredictableusagebutlessflexibility.

InPython, YouCansSpectHedatatYPeyFeLeMeReModelerErnSpAnT.1) UsenPyNeRnRump.1) UsenPyNeRp.DLOATP.PLOATM64, Formor PrecisconTrolatatypes.


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver CS6
Visual web development tools

Dreamweaver Mac version
Visual web development tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
