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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Using Google's CityHash hash functions for strings


Google's CityHash hash functions are optimized for hashing strings, but are not meant to be cryptographically secure. CityHash is ideal for implementing a hash table dealing with strings. We will use it in this recipe to produce both 64-bit and 128-bit digests.

Getting ready

Install the cityhash package from Cabal as follows:

$ cabal install cityhash

How to do it…

  1. Import the relevant packages as follows:

    import Data.Digest.CityHash
    import Data.ByteString.Char8 (pack)
    import Data.Word (Word64)
    import Data.LargeWord (Word128)
  2. Test the various hashing function on an input string using the following code snippet:

    main = do
     (pack str) (1 :: Word128)  let str = "cityhash"
      print $ cityHash64 (pack str)
      print $ cityHash64WithSeed (pack str) (1 :: Word64)
      print $ cityHash64WithSeed (pack str) (2 :: Word64)
      print $ cityHash128 (pack str)
      print $ cityHash128WithSeed
      print $ cityHash128WithSeed (pack str) (2 :: Word128)
  3. Display the output as follows...

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