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) ...
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