Take a look at the 128-bit variant of MurmurHash3 The algorithm's page includes some performance numbers. Should be possible to port this to Python, pure or as a C extension. ( Updated the author recommends using the 128-bit variant and throwing away the bits you don't need) If MurmurHash2 64-bit works for you, there is a Python implementation (C extension) in the pyfasthash package which includes a few other non-cryptographic hash variants, though some of these only offer 32-bit output Update I did a quick Python wrapper for the Murmur3 hash function Github project is here and you can find it on Python Package Index as well it just needs a C++ compiler to build; no Boost required Usage example and timing comparison: import murmur3 import timeit # without seed print murmur3.
Murmur3_x86_64('samplebias') # with seed value print murmur3. Murmur3_x86_64('samplebias', 123) # timing comparison with str __hash__ t = timeit. Timer("murmur3.
Murmur3_x86_64('hello')", "import murmur3") print 'murmur3:', t.timeit() t = timeit. Timer("str. __hash__('hello')") print 'str.
__hash__:', t.timeit() Output: 15662901497824584782 7997834649920664675 murmur3: 0.264422178268 str. __hash__: 0.219163894653.
Take a look at the 128-bit variant of MurmurHash3. The algorithm's page includes some performance numbers. Should be possible to port this to Python, pure or as a C extension.(Updated the author recommends using the 128-bit variant and throwing away the bits you don't need).
If MurmurHash2 64-bit works for you, there is a Python implementation (C extension) in the pyfasthash package, which includes a few other non-cryptographic hash variants, though some of these only offer 32-bit output. Update I did a quick Python wrapper for the Murmur3 hash function. Github project is here and you can find it on Python Package Index as well; it just needs a C++ compiler to build; no Boost required.
Usage example and timing comparison: import murmur3 import timeit # without seed print murmur3. Murmur3_x86_64('samplebias') # with seed value print murmur3. Murmur3_x86_64('samplebias', 123) # timing comparison with str __hash__ t = timeit.
Timer("murmur3. Murmur3_x86_64('hello')", "import murmur3") print 'murmur3:', t.timeit() t = timeit. Timer("str.
__hash__('hello')") print 'str. __hash__:', t.timeit() Output: 15662901497824584782 7997834649920664675 murmur3: 0.264422178268 str. __hash__: 0.219163894653.
. I'll take another look at it. I'll let you know how it goes - thanks!
– eblume Mar 23 at 5:00 Yep, it requires Boost Python. On Ubuntu this can be installed with sudo apt-get install libboost-python-dev. I built a package in my PPA as an example.
– samplebias Mar 23 at 6:10 Unfortunately Ubuntu's package management system is still back with python 2.6 so I had to install 2.7 on the side. I could be incredibly dense but it looks like Boost Python has a wickedly difficult manual install. Any tips?
– eblume Mar 23 at 7:28 Yep, I also did a performance test on the Boost-wrapper murmur2 and found it lacking, so I created my own wrapper around murmur3. Check the update above. This should get you going.
:-) – samplebias Mar 23 at 14:51 This is quite fantastic, thanks very much! I have a question though - platform. Cpp has some mentions of processor affinity in it.
The code that will be executing the hashing function is already highly parallelized - I hope that won't cause problems with this package? – eblume Mar 23 at 21:52.
Strings": I'm presuming you wish to hash Python 2. X str objects and/or Python3. X bytes and/or bytearray objects.
This may violate your first constraint, but: consider using something like (zlib. Adler32(strg, perturber).
You are correct in your assumption that I'm hashing str objects - I'll look in to this snippet, thanks, but you're right, I personally doubt that there is consistent entropy to each output bit here. Thanks though! – eblume Mar 23 at 4:58.
If you can use Python 3.2, the hash result on 64-bit Windows is now a 64-bit value.
I've been using Python 2.7, but if the hash width in the 3. X engine is definitely, consistently wider then that might be enough to get me to switch. Thanks!
– eblume Mar 23 at 4:56 @eblume: The 64-bit hash on 64-bit Windows is an enhancement in 3.2. 64-bit Linux platforms have always had a 64-bit hash value. 32-bit versions of Python (both Linux and Windows) only have a 32-bit hash value. – casevh Mar 23 at 13:45.
I have a need for a high-performance string hashing function in python that produces integers with at least 34 bits of output (64 bits would make sense, but 32 is too few). Use the built-in hash() function. This function, at least on the machine I'm developing for (with python 2.7, and a 64-bit cpu) produces an integer that fits within 32 bits - not large enough for my purposes.
Hashlib provides cryptographic hash routines, which are far slower than they need to be for non-cryptographic purposes. I find this self-evident, but if you require benchmarks and citations to convince you of this fact then I can provide that. Use the string.
__hash__() function as a prototype to write your own function. I suspect this will be the correct way to go, except that this particular function's efficiency lies in its use of the c_mul function, which wraps around 32 bits - again, too small for my use!
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