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+{-|
+Module : Verismith.Circuit.Random
+Description : Random generation for DAG
+Copyright : (c) 2018-2019, Yann Herklotz
+License : BSD-3
+Maintainer : yann [at] yannherklotz [dot] com
+Stability : experimental
+Portability : POSIX
+
+Define the random generation for the directed acyclic graph.
+-}
+
+module Verismith.Circuit.Random
+ ( rDups
+ , rDupsCirc
+ , randomDAG
+ , genRandomDAG
+ )
+where
+
+import Data.Graph.Inductive (Context)
+import qualified Data.Graph.Inductive as G
+import Data.Graph.Inductive.PatriciaTree (Gr)
+import Data.List (nub)
+import Hedgehog (Gen)
+import qualified Hedgehog.Gen as Hog
+import qualified Hedgehog.Range as Hog
+import Verismith.Circuit.Base
+
+dupFolder :: (Eq a, Eq b) => Context a b -> [Context a b] -> [Context a b]
+dupFolder cont ns = unique cont : ns
+ where unique (a, b, c, d) = (nub a, b, c, nub d)
+
+-- | Remove duplicates.
+rDups :: (Eq a, Eq b) => Gr a b -> Gr a b
+rDups g = G.buildGr $ G.ufold dupFolder [] g
+
+-- | Remove duplicates.
+rDupsCirc :: Circuit -> Circuit
+rDupsCirc = Circuit . rDups . getCircuit
+
+-- | Gen instance to create an arbitrary edge, where the edges are limited by
+-- `n` that is passed to it.
+arbitraryEdge :: Hog.Size -> Gen CEdge
+arbitraryEdge n = do
+ x <- with $ \a -> a < n && a > 0 && a /= n - 1
+ y <- with $ \a -> x < a && a < n && a > 0
+ return $ CEdge (fromIntegral x, fromIntegral y, ())
+ where
+ with = flip Hog.filter $ fromIntegral <$> Hog.resize
+ n
+ (Hog.int (Hog.linear 0 100))
+
+-- | Gen instance for a random acyclic DAG.
+randomDAG :: Gen Circuit -- ^ The generated graph. It uses Arbitrary to generate
+ -- random instances of each node
+randomDAG = do
+ list <- Hog.list (Hog.linear 1 100) $ Hog.enum minBound maxBound
+ l <- Hog.list (Hog.linear 10 1000) aE
+ return . Circuit $ G.mkGraph (nodes list) l
+ where
+ nodes l = zip [0 .. length l - 1] l
+ aE = getCEdge <$> Hog.sized arbitraryEdge
+
+-- | Generate a random acyclic DAG with an IO instance.
+genRandomDAG :: IO Circuit
+genRandomDAG = Hog.sample randomDAG