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large-hashable: Efficiently hash (large) Haskell values

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Please see README.md

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[Last Documentation]

  • Data
    • Data.LargeHashable
      • Data.LargeHashable.Class
      • Data.LargeHashable.Intern
      • Data.LargeHashable.LargeWord
      • Data.LargeHashable.MD5
      • Data.LargeHashable.TH

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Versions [RSS] 0.1.0.0, 0.1.0.1, 0.1.0.2, 0.1.0.3, 0.1.0.4, 0.1.1.0, 0.1.2.0
Change log ChangeLog
Dependencies aeson, base (>=4.8 && <5), base16-bytestring, bytes, bytestring, containers, scientific, strict, template-haskell, text, time, transformers, unordered-containers, utf8-light, vector, void [details]
License BSD-3-Clause
Copyright 2015 - 2016 factis research GmbH
Author Stefan Wehr, Lukas Epple
Maintainer Stefan Wehr <wehr@cp-med.com>
Category Web
Home page https://github.com/factisresearch/large-hashable
Source repo head: git clone https://github.com/factisresearch/large-hashable
Uploaded by StefanWehr at 2016-08-10T05:53:55Z
Distributions LTSHaskell:0.1.2.0, NixOS:0.1.1.0, Stackage:0.1.2.0
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 3677 total (3 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs not available [build log]
All reported builds failed as of 2016-11-21 [all 2 reports]

Readme for large-hashable-0.1.0.1

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LargeHashable

Build Status Hackage

Efficiently hash Haskell values with MD5, SHA256, SHA512 and other hashing algorithms.

Install

  • Using cabal: cabal install large-hashable
  • Using Stack: stack install large-hashable

Building from git repository

  • clone the repository
  • Install the stack tool (http://haskellstack.org)
  • stack build builds the code
  • stack test builds the code and runs the tests
  • run-benchmarks.sh runs the benchmark suite