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Update data_structures/hashing/bloom_filter.py

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Co-authored-by: Christian Clauss <cclauss@me.com>
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isidroas 2023-04-08 16:06:50 +02:00 committed by GitHub
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data_structures/hashing/bloom_filter.py
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@ -2,7 +2,7 @@
See https://en.wikipedia.org/wiki/Bloom_filter
The use of this data structure is to test membership in a set.
Compared to python built-in set() it is more space-efficent.
Compared to Python's built-in set() it is more space-efficient.
In the following example, only 8 bits of memory will be used:
>>> b = Bloom(size=8)
>>> "Titanic" in b