fuzzyset 0.1.0.2 → 0.1.0.3
raw patch · 3 files changed
+16/−7 lines, 3 filesdep ~textPVP ok
version bump matches the API change (PVP)
Dependency ranges changed: text
API changes (from Hackage documentation)
Files
- README.md +13/−1
- fuzzyset.cabal +3/−3
- src/Data/FuzzySet/Lens.hs +0/−3
README.md view
@@ -1,9 +1,21 @@-# fuzzyset-haskell [](https://travis-ci.org/laserpants/fuzzyset-haskell)+# fuzzyset-haskell [](https://travis-ci.org/laserpants/fuzzyset-haskell) [](https://opensource.org/licenses/BSD-3-Clause) [](https://www.haskell.org/) [](http://hackage.haskell.org/package/fuzzyset) A fuzzy string set data structure for approximate string matching. This implementation is based on the Python and JavaScript libraries with the same name: * [JavaScript version](https://github.com/Glench/fuzzyset.js) * [Python version](https://github.com/axiak/fuzzyset)++## Install++```+cabal install fuzzyset+```++For details, see [Hackage docs](http://hackage.haskell.org/package/fuzzyset). This library is also available on [Stackage](https://www.stackage.org/package/fuzzyset). To install using [Stack](https://www.haskellstack.org/):++```+stack install fuzzyset+``` ## How to use
fuzzyset.cabal view
@@ -1,5 +1,5 @@ name: fuzzyset-version: 0.1.0.2+version: 0.1.0.3 synopsis: Fuzzy set for approximate string matching description: This library is based on the Python and JavaScript libraries with the same name. homepage: https://github.com/laserpants/fuzzyset-haskell@@ -24,7 +24,7 @@ , base-unicode-symbols ==0.2.2.4 , data-default ==0.7.1.1 , lens ==4.15.4- , text ==1.2.2.2+ , text >=1.2.2.2 , text-metrics ==0.3.0 , unordered-containers ==0.2.8.0 , vector ==0.12.0.1@@ -39,7 +39,7 @@ , hspec ==2.4.4 , fuzzyset , lens ==4.15.4- , text ==1.2.2.2+ , text >=1.2.2.2 , ieee754 ==0.8.0 , unordered-containers ==0.2.8.0 ghc-options: -threaded -rtsopts -with-rtsopts=-N
src/Data/FuzzySet/Lens.hs view
@@ -14,9 +14,6 @@ import Control.Lens import Data.FuzzySet.Types -import qualified Data.HashMap.Strict as HashMap-import qualified Data.Vector as Vector- makeLensesFor [ ("items" , "_items") , ("matchDict" , "_matchDict")