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mirror of https://github.com/github/semantic.git synced 2024-12-27 00:44:57 +03:00
semantic/test/Generators.hs
2019-10-30 13:16:17 -04:00

45 lines
1.5 KiB
Haskell

{-# LANGUAGE OverloadedStrings #-}
module Generators
( source
, integerScientific
, rationalScientific
, floatingScientific
, classifyScientific
) where
import Data.Ratio ((%))
import Data.Scientific (Scientific)
import qualified Data.Scientific as Scientific
import Hedgehog
import qualified Hedgehog.Gen as Gen
import qualified Source.Source
source :: MonadGen m => Hedgehog.Range Int -> m Source.Source.Source
source r = Gen.frequency [ (1, empty), (20, nonEmpty) ]
where empty = pure mempty
nonEmpty = Source.Source.fromUTF8 <$> Gen.utf8 r (Gen.frequency [ (1, pure '\r'), (1, pure '\n'), (20, Gen.unicode) ])
integerScientific :: MonadGen m => Hedgehog.Range Integer -> m Scientific
integerScientific = fmap fromIntegral . Gen.integral
rationalScientific :: MonadGen m => Hedgehog.Range Integer -> Hedgehog.Range Integer -> m Scientific
rationalScientific nrange drange = do
num <- Gen.integral nrange
den <- Gen.integral drange
let goodDen = if den == 0 then 1 else den
let digitLimit = Just 25
case Scientific.fromRationalRepetend digitLimit (num % goodDen) of
Left (sci, _) -> pure sci
Right (sci, _) -> pure sci
floatingScientific :: MonadGen m => Hedgehog.Range Double -> m Scientific
floatingScientific = fmap Scientific.fromFloatDigits . Gen.double
classifyScientific :: MonadTest m => Scientific -> m ()
classifyScientific sci = do
classify "negative" $ sci < 0
classify "small" $ (sci > 0 && sci <= 1)
classify "medium" $ (sci > 1 && sci <= 10000)
classify "large" $ sci > 10000