cabal-version: >=1.10 name: tdigest version: 0.2.1.1 x-revision: 3 synopsis: On-line accumulation of rank-based statistics description: A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means. . See original paper: "Computing extremely accurate quantiles using t-digest" by Ted Dunning and Otmar Ertl for more details . category: Numeric homepage: https://github.com/phadej/haskell-tdigest#readme bug-reports: https://github.com/phadej/haskell-tdigest/issues author: Oleg Grenrus maintainer: Oleg Grenrus license: BSD3 license-file: LICENSE tested-with: GHC ==7.8.4 || ==7.10.3 || ==8.0.2 || ==8.2.2 || ==8.4.4 || ==8.6.5 || ==8.8.4 || ==8.10.7 || ==9.0.2 || ==9.2.2 build-type: Simple extra-source-files: README.md CHANGELOG.md source-repository head type: git location: https://github.com/phadej/haskell-tdigest subdir: tdigest library default-language: Haskell2010 hs-source-dirs: src ghc-options: -Wall -- GHC boot libraries build-depends: base >=4.7 && <4.19 , binary >=0.7.1.0 && <0.10 , deepseq >=1.3.0.2 && <1.5 , transformers >=0.3 && <0.7 if !impl(ghc >=8.0) build-depends: semigroups >=0.18.4 && <0.21 -- other dependencies build-depends: base-compat >=0.10.1 && <0.13 , reducers >=3.12.2 && <3.13 , semigroupoids >=5.2.2 && <5.4 , vector >=0.12.0.1 && <0.13 , vector-algorithms >=0.7.0.1 && <0.9 exposed-modules: Data.TDigest Data.TDigest.NonEmpty Data.TDigest.Postprocess Data.TDigest.Tree Data.TDigest.Tree.NonEmpty Data.TDigest.Tree.Postprocess Data.TDigest.Vector Data.TDigest.Vector.NonEmpty Data.TDigest.Vector.Postprocess -- Internal modules are exposed, but aren't under PVP contract. exposed-modules: Data.TDigest.Internal Data.TDigest.Postprocess.Internal Data.TDigest.Tree.Internal Data.TDigest.Vector.Internal other-extensions: DataKinds KindSignatures MultiParamTypeClasses ScopedTypeVariables test-suite tdigest-tests default-language: Haskell2010 type: exitcode-stdio-1.0 main-is: Tests.hs ghc-options: -Wall -threaded hs-source-dirs: tests build-depends: base , base-compat , binary , deepseq , semigroups , tasty >=0.11.0.4 && <1.5 , tasty-quickcheck >=0.8.4 && <0.11 , tdigest , vector , vector-algorithms