javelin 0.1.4.1 → 0.1.4.2
raw patch · 3 files changed
+19/−15 lines, 3 filesdep ~basedep ~containersPVP ok
version bump matches the API change (PVP)
Dependency ranges changed: base, containers
API changes (from Hackage documentation)
Files
- CHANGELOG.md +4/−0
- javelin.cabal +14/−14
- src/Data/Series/Tutorial.hs +1/−1
CHANGELOG.md view
@@ -1,5 +1,9 @@ # Revision history for javelin +## Release 0.1.4.2++* Explicit support for `containers-0.8`.+ ## Release 0.1.4.1 * Explicit support for GHC 9.12
javelin.cabal view
@@ -1,6 +1,6 @@ cabal-version: 3.0 name: javelin-version: 0.1.4.1+version: 0.1.4.2 synopsis: Labeled one-dimensional arrays license: MIT license-file: LICENSE@@ -16,20 +16,20 @@ || ==9.6.4 || ==9.4.8 description:- + This package implements 'Series', labeled one-dimensional arrays combining properties from maps and arrays.- + To get started, the important modules are:- + ["Data.Series"] Boxed series of arbitrary types.- + ["Data.Series.Unboxed"] Series of unboxed data types for better performance, at the cost of flexibility.- + ["Data.Series.Generic"] Generic interface to manipulate any type of 'Series'.- + ["Data.Series.Index"] Index containing series keys.- + To get started, please take a look at the tutorial ("Data.Series.Tutorial"). source-repository head@@ -64,7 +64,7 @@ Data.Series.Generic.Zip Data.Series.Index.Definition build-depends: base >=4.15.0.0 && <4.22,- containers >=0.6 && <0.8,+ containers >=0.6 && <0.9, deepseq >=1.4 && <1.7, foldl ^>=1.4, indexed-traversable ^>=0.1,@@ -109,10 +109,10 @@ foldl, mono-traversable, javelin,- vector, - criterion, - deepseq, - random, + vector,+ criterion,+ deepseq,+ random, directory @@ -137,5 +137,5 @@ import: common main-is: bench-report.hs hs-source-dirs: scripts- build-depends: base >=4.15.0.0 && <4.22, + build-depends: base >=4.15.0.0 && <4.22, csv ^>=0.1
src/Data/Series/Tutorial.hs view
@@ -608,7 +608,7 @@ "Poland" | 121.40 Finally, in case we want full control over what to do when a key is missing, -we can use @Series.zipWithStrategy'. For example, consider the case where:+we can use `Series.zipWithStrategy'. For example, consider the case where: * If population numbers are missing, I want to set the density to 0; * If land mass information is missing, I wait to skip calculating the density of this country.