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pyprobables is a pure-python library for probabilistic data structures. The goal is to provide the developer with a pure-python implementation of common probabilistic data-structures to use in their work. To achieve better raw performance, it is recommended supplying an alternative hashing algorithm that has been compiled in C. This could include using the MD5 and SHA512 algorithms provided or installing a third party package and writing your own hashing strategy. Some options include the murmur hash mmh3 or those from the pyhash library. Each data object in pyprobables makes it easy to pass in a custom hashing function.
3 lines
164 B
Text
3 lines
164 B
Text
TIMESTAMP = 1708448834
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SHA256 (pyprobables-0.6.0.tar.gz) = a4e72bdb4d3513121b33377728c9eafd2ae8495d5201d6a90abc3d52d9a17901
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SIZE (pyprobables-0.6.0.tar.gz) = 33638
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