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A Bloom filter is a space-efficient probabilistic data structure that is used to test whether an element is a member of a set. It allows for false positives but not false negatives. Elements are added to the set by mapping them to bits in a bit array using hash functions. The probability of false positives increases as more elements are added. With an optimal number of hash functions, fewer than 10 bits per element are needed for a 1% false positive rate, regardless of the number of elements. Bloom filters

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sriIIT

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EN