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data_structures/hashing/bloom_filter.py
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See https://en.wikipedia.org/wiki/Bloom_filter
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The use of this data structure is to test membership in a set.
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-Compared to python built-in set() it is more space-efficent.
+Compared to Python's built-in set() it is more space-efficient.
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In the following example, only 8 bits of memory will be used:
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>>> b = Bloom(size=8)
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>>> "Titanic" in b
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