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A Bloom Filter class in Python with a modifiable false positive rate that supports insertions and queries. Bloom Filters are probabilistic data structures that can recall, with a tunable false positive rate, whether or not a key has been previously observed. Needs the existing BitHash and BitVector classes to run.