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How to set nth bit of large binary file using python?

+3 votes
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How to set nth bit of large binary file using python?
posted Apr 25, 2016 by Rameshwar

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+1 vote

I have about 500 search queries, and about 52000 files in which I have to find all matches for each of the 500 queries.

How should I approach this? Seems like the straightforward way to do it would be to loop through each of the files and go line by line comparing all the terms to the query, but this seems like it would take too long.

Can someone give me a suggestion as to how to minimize the search time?

+4 votes

I want to make an animated GIF from 3200+ png. I searched and found http://code.google.com/p/visvis/source/browse/#hg/vvmovie and I wrote:

allPic=glob.glob('*.png')
allPic.sort()
allPic=[Image.open(i) for i in allPic]
writeGif('lala3.gif',allPic, duration=0.5, dither=0)

However I got

 allPic=[Image.open(i) for i in allPic]
 File "e:prgpypython-2.7.3libsite-packagesPILImage.py", line 1952, in open
 fp = __builtin__.open(fp, "rb")
IOError: [Errno 24] Too many open files: 'out0572.png'

Is there other lib for py?

+1 vote

I need to get 32 bit binary equivalent of a decimal and need to change the 0's to 1's and 1's to 0's

For Example
if the input is 2 
Output should be:
the 32bit equivalent of 2 :0000 0000 0000 0000 0000 0000 0000 0010
and the 1's compliment is:1111 1111 1111 1111 1111 1111 1111 1101

is there any pre-defined function to get the above results in python??

+1 vote

Let's say I want to compare two csv files: file A and file B. They are both similarly built - the first column has product IDs (one product per row) and the columns provide some stats about the products such as sales in # and $.

I want to compare these files - see which product IDs appear in the first column of file A and not in B, and which in B and not A.
Finally, it would be very great if the result could be written into two new CSV files - one product ID per row in the first column. (no other data in the other columns needed)

This is the script I tried:

import csv

#open CSV's and read first column with product IDs into variables pointing to lists
A = [line.split(',')[0] for line in open('Afile.csv')]
B = [line.split(',')[0] for line in open('Bfile.csv')]

#create variables pointing to lists with unique product IDs in A and B respectively 
inAnotB = list(set(A)-set(B))
inBnotA = list(set(B)-set(A))

print inAnotB
print inBnotA

c = csv.writer(open("inAnotB.csv", "wb"))
c.writerow([inAnotB])

d = csv.writer(open("inBnotA.csv", "wb"))
d.writerow([inBnotA])

print "done!" 

But it doesn't produce the required results.
It prints IDs in this format:

247158132n

and nothing to the csv files.

+1 vote

I have a script-service running on a remote server, listening on a specific port. What i need here is to make this also maintain a log file of ALL incoming connections.

Could someone suggest to me a simple codefunction example to implement that on my main running service?

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