Metadata-Version: 1.1
Name: drs-bloom-filter
Version: 2.3
Summary: Pure Python Bloom Filter module
Home-page: http://stromberg.dnsalias.org/~strombrg/drs-bloom-filter/
Author: Daniel Richard Stromberg
Author-email: strombrg@gmail.com
License: MIT
Description: 
        A pure python bloom filter (low storage requirement, probabilistic
        set datastructure) is provided.
        
        Includes mmap, in-memory and disk-seek backends.
        
        The user specifies the desired maximum number of elements and the
        desired maximum false positive probability, and the module
        calculates the rest.
        
        Example use:
            >>> bf = bloom_filter_mod.Bloom_filter(ideal_num_elements_n=100, error_rate_p=0.01)
            >>> for i in range(0, 200, 2):
            ...     bf.add(i)
            ...
            >>> for i in range(0, 200, 3):
            ...     print(i in bf)
            ...
        
Keywords: probabilistic set datastructure
Platform: Cross platform
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
