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Fast way of counting non-zero bits in positive integer

I need a fast way to count the number of bits in an integer in python. My current solution is

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but I am wondering if there is any faster way of doing this?

PS: (i am representing a big 2D binary array as a single list of numbers and doing bitwise operations, and that brings the time down from hours to minutes. and now I would like to get rid of those extra minutes.

Edit: 1. it has to be in python 2.7 or 2.6

and optimizing for small numbers does not matter that much since that would not be a clear bottleneck, but I do have numbers with 10 000 + bits at some places

for example this is a 2000 bit case:

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Answer

For arbitrary-length integers, bin(n).count("1") is the fastest I could find in pure Python.

I tried adapting Óscar’s and Adam’s solutions to process the integer in 64-bit and 32-bit chunks, respectively. Both were at least ten times slower than bin(n).count("1") (the 32-bit version took about half again as much time).

On the other hand, gmpy popcount() took about 1/20th of the time of bin(n).count("1"). So if you can install gmpy, use that.

To answer a question in the comments, for bytes I’d use a lookup table. You can generate it at runtime:

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Or just define it literally:

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Then it’s counts[x] to get the number of 1 bits in x where 0 ≤ x ≤ 255.

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