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Update API guarantee
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README.md

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### Golang probabilistic set data structure
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A Bloom filter is a fast and space-efficient probabilistic data structure
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used to test set membership. A membership test returns either ”likely member”
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or ”definitely not a member”.
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A Bloom filter is a fast and space-efficient probabilistic
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data structure used to test set membership. A membership test
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returns either ”likely member” or ”definitely not a member”.
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![Neutral density filter](ND-filter.jpg)
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* The API of this library is frozen.
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* Version numbers adhere to [semantic versioning][sv].
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The only accepted reason to modify the API of this package is to handle
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bug fixes that can't be resolved in any other reasonable way.
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The only accepted reason to modify the API of this package
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is to handle issues that can't be resolved in any other
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reasonable way.
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### Thanks
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Thanks to [Sébastien Paolacci][sp] for his excellent MurmurHash implementation.
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Thanks to [Sébastien Paolacci][sp] for his excellent
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MurmurHash implementation.
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Stefan Nilsson – [korthaj](https://github.com/korthaj)
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