Name: random-bytestring Version: 0.0.1 Synopsis: Efficient generation of random bytestrings Description: Efficient generation of random bytestrings Homepage: https://www.github.com/larskuhtz/random-bytestring License: MIT Author: Lars Kuhtz Maintainer: Lars Kuhtz Copyright: Copyright (c) 2017 Lars Kuhtz Category: System Build-type: Simple Cabal-version: >= 1.18 Tested-With: GHC == 7.8.4, GHC == 7.10.2, GHC == 8.0.2 License-file: LICENSE extra-doc-files: README.md, CHANGELOG.md source-repository head type: git location: https://www.github.com/larskuhtz/random-bytestring Library default-language: Haskell2010 hs-source-dirs: src exposed-modules: Data.ByteString.Random build-depends: base >= 4.7 && < 4.10 && < 4.10, bytestring >= 0.10, mwc-random >= 0.13 if impl(ghc < 7.10) build-depends: nats >= 1.1 ghc-options: -Wall Benchmark benchmark default-language: Haskell2010 type: exitcode-stdio-1.0 main-is: benchmark.hs hs-source-dirs: benchmark ghc-options: -Wall -O2 -threaded -with-rtsopts=-N -rtsopts build-depends: random-bytestring, async >= 2.1, base >= 4.7 && < 4.10, bytestring >= 0.10, criterion >= 1.1 if impl(ghc < 7.10) build-depends: nats >= 1.1 other-modules: Benchmarks Benchmark benchmark-compare default-language: Haskell2010 type: exitcode-stdio-1.0 main-is: benchmark-compare.hs hs-source-dirs: benchmark ghc-options: -Wall -O2 -threaded -with-rtsopts=-N -rtsopts build-depends: random-bytestring, async >= 2.1, base >= 4.7 && < 4.10, bytestring >= 0.10, criterion >= 1.1, entropy >= 0.3, ghc-prim >= 0.3, mwc-random >= 0.13, primitive >= 0.6, random >= 1.1 if impl(ghc < 7.10) build-depends: nats >= 1.1 other-modules: Benchmarks, Implementations Benchmark eventlog-compare default-language: Haskell2010 type: exitcode-stdio-1.0 main-is: eventlog-compare.hs hs-source-dirs: benchmark ghc-options: -Wall -O2 -threaded -with-rtsopts=-N -rtsopts -eventlog build-depends: random-bytestring, async >= 2.1, base >= 4.7 && < 4.10, bytestring >= 0.10, criterion >= 1.1, entropy >= 0.3, ghc-prim >= 0.3, mwc-random >= 0.13, primitive >= 0.6, random >= 1.1 other-modules: Benchmarks, Implementations