object MurmurHash
An object designed to generate well-distributed non-cryptographic hashes. It is designed to hash a collection of integers; along with the integers to hash, it generates two magic streams of integers to increase the distribution of repetitive input sequences. Thus, three methods need to be called at each step (to start and to incorporate a new integer) to update the values. Only one method needs to be called to finalize the hash.
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- MurmurHash.scala
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-   final  def ##: Int- Definition Classes
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-    def arrayHash[T](a: Array[T]): IntCompute a high-quality hash of an array 
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-    def extendHash(hash: Int, value: Int, magicA: Int, magicB: Int): IntIncorporates a new value into an existing hash. Incorporates a new value into an existing hash. - hash
- the prior hash value 
- value
- the new value to incorporate 
- magicA
- a magic integer from the stream 
- magicB
- a magic integer from a different stream 
- returns
- the updated hash value 
 
-    def finalizeHash(hash: Int): IntOnce all hashes have been incorporated, this performs a final mixing 
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-    def nextMagicA(magicA: Int): IntGiven a magic integer from the first stream, compute the next 
-    def nextMagicB(magicB: Int): IntGiven a magic integer from the second stream, compute the next 
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-    def startHash(seed: Int): IntBegin a new hash with a seed value. 
-    def startMagicA: IntThe initial magic integers in the first stream. 
-    def startMagicB: IntThe initial magic integer in the second stream. 
-    def stringHash(s: String): IntCompute a high-quality hash of a string 
-    def symmetricHash[T](xs: IterableOnce[T], seed: Int): IntCompute a hash that is symmetric in its arguments--that is, where the order of appearance of elements does not matter. Compute a hash that is symmetric in its arguments--that is, where the order of appearance of elements does not matter. This is useful for hashing sets, for example. - Annotations
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