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33### Golang probabilistic set data structure
44
5- A Bloom filter is a fast and space-efficient probabilistic data structure
6- used to test set membership. A membership test returns either ”likely member”
7- or ”definitely not a member”.
5+ A Bloom filter is a fast and space-efficient probabilistic
6+ data structure used to test set membership. A membership test
7+ returns either ”likely member” or ”definitely not a member”.
88
99![ Neutral density filter] ( ND-filter.jpg )
1010
@@ -27,12 +27,14 @@ There is an online reference for the package at
2727* The API of this library is frozen.
2828* Version numbers adhere to [ semantic versioning] [ sv ] .
2929
30- The only accepted reason to modify the API of this package is to handle
31- bug fixes that can't be resolved in any other reasonable way.
30+ The only accepted reason to modify the API of this package
31+ is to handle issues that can't be resolved in any other
32+ reasonable way.
3233
3334### Thanks
3435
35- Thanks to [ Sébastien Paolacci] [ sp ] for his excellent MurmurHash implementation.
36+ Thanks to [ Sébastien Paolacci] [ sp ] for his excellent
37+ MurmurHash implementation.
3638
3739Stefan Nilsson – [ korthaj] ( https://github.com/korthaj )
3840
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