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and [S. Richter, V. Alvarez, and J. Dittrich. 2015. A Seven-Dimensional Analysis of Hashing Methods and its Implications on Query Processing, Proceedings of the VLDB Endowment, Vol. 9, No. 3.](https://bigdata.uni-saarland.de/publications/p249-richter.pdf)[https://doi.org/10.14778/2850583.2850585](https://doi.org/10.14778/2850583.2850585).
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The `stdlib_32_bit_nmhashes` submodule provides implementations
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The `stdlib_hash_32bit_nm` submodule provides implementations
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of James Z.M. Gao's `nmhash32` and `nmhash32x` algorithms,
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version 0.2,
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in the form of the overloaded functions, `nmhash32` and `nmhash32x`.
@@ -434,7 +434,7 @@ seeds, but slower on long seeds, but our limited testing so far shows
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`nmhash32x` to be significantly faster on short seeds and slightly
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faster on long seeds.
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The `stdlib_32_bit_water_hashes` submodule provides implementations
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The `stdlib_hash_32bit_water` submodule provides implementations
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of Tommy Ettinger's `waterhash` algorithm in the form of the overloaded
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function, `water_hash`. Water Hash has not been tested by Reini Urban,
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but Tommy Ettinger has tested it with Urban's SMHasher and presents
@@ -443,14 +443,14 @@ testing hasn't found any bad seeds for the algorithm. To provide
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randomly generated seeds for the hash function the submodule also
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defines the subroutine `new_water_hash_seed`.
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The `stdlib_64_bit_pengy_hashes` submodule provides implementations of
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The `stdlib_hash_64bit_pengy` submodule provides implementations of
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Alberto Fajardo's `pengyhash` in the form of the overloaded function,
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`pengy_hash`. Reini Urban's testing shows that PengyHash passes all
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the tests and has no bad seeds. To provide randomly generated seeds
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for the hash function the submodule also defines the subroutine
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`new_pengy_hash_seed`.
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The `stdlib_64_bit_spooky_hashes` submodule provides implementations
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The `stdlib_hash_64bit_spooky` submodule provides implementations
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of Bob Jenkins' SpookyHash in the form of the overloaded function,
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`spooky_hash`. Future implementations may provide the SpookyHash
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