hashlib

I've got a generated MD5-hash, which I would like to compare to another MD5-hash from a string. The statement below is false, even though they look the same when you print them and should be true. hashlib.md5("foo").hexdigest() == "acbd18db4cc2f85cedef654fccc4a4d8" Google told me that I should encode the result from hexdigest() , since it doesn't return a string. However, the code below doesn't seem to work either. hashlib.md5("foo").hexdigest().encode("utf-8") == "foo".encode("utf-8") Python 2.7, .hexdigest() does return a str >>> hashlib.md5("foo").hexdigest() ==

I am trying to compute md5 hash of a file with the function hashlib.md5() from hashlib module. So that I writed this piece of code: Buffer = 128 f = open("c:\\file.tct", "rb") m = hashlib.md5() while True: p = f.read(Buffer) if len(p) != 0: m.update(p) else: break print m.hexdigest() f.close() I noted the function update is faster if I increase Buffer variable value with 64, 128, 256 and so on. There is a upper limit I cannot exceed? I suppose it might only a RAM memory problem but I don't know. Big (≈ 2**40 ) chunk sizes lead to MemoryError i.e., there is no limit other than available RAM. On

I know that this question has been asked before, and I've saw some of the answers, but this question is more about my code and the best way of accomplishing this task. I want to scan a directory and see if there are any duplicates (by checking MD5 hashes) in that directory. The following is my code: import sys import os import hashlib fileSliceLimitation = 5000000 #bytes # if the file is big, slice trick to avoid to load the whole file into RAM def getFileHashMD5(filename): retval = 0; filesize = os.path.getsize(filename) if filesize > fileSliceLimitation: with open(filename, 'rb') as fh: m =

With python 2.7 the following code computes the mD5 hexdigest of the content of a file. (EDIT: well, not really as answers have shown, I just thought so). import hashlib def md5sum(filename): f = open(filename, mode='rb') d = hashlib.md5() for buf in f.read(128): d.update(buf) return d.hexdigest() Now if I run that code using python3 it raise a TypeError Exception: d.update(buf) TypeError: object supporting the buffer API required I figured out that I could make that code run with both python2 and python3 changing it to: def md5sum(filename): f = open(filename, mode='r') d = hashlib.md5() for

When I attempt to import hashlib in any context, it throws this error: File "<stdin>", line 1, in <module> File "build/bdist.macosx-10.11-intel/egg/hashlib.py", line 115, in <module> """ TypeError: 'frozenset' object is not callable Any idea how I can resolve this? I'm generating this error simply by opening up Terminal, running python and then typing import hashlib . I had the same problem yesterday, Hashlib wasn't installed and trying to install it using pip would give that error. I fixed it by installing it using easy_install instead. Also I had to install Scipy and Microsoft Visual C++