{-# LANGUAGE ScopedTypeVariables #-} {-# OPTIONS_GHC -fno-warn-orphans #-} {- Copyright (C) 2018 Dr. Alistair Ward This file is part of BishBosh. BishBosh is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. BishBosh is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with BishBosh. If not, see . -} {- | [@AUTHOR@] Dr. Alistair Ward [@DESCRIPTION@] Implements 'Test.QuickCheck.Arbitrary'. -} module BishBosh.Test.QuickCheck.Search.SearchState( -- * Types -- ** Type-synonyms SearchState ) where import BishBosh.Test.QuickCheck.Component.Zobrist() import BishBosh.Test.QuickCheck.Input.EvaluationOptions() import BishBosh.Test.QuickCheck.Input.SearchOptions() import BishBosh.Test.QuickCheck.Model.Game() import qualified BishBosh.Evaluation.PositionHashQuantifiedGameTree as Evaluation.PositionHashQuantifiedGameTree import qualified BishBosh.Input.EvaluationOptions as Input.EvaluationOptions import qualified BishBosh.Property.Empty as Property.Empty import qualified BishBosh.Search.SearchState as Search.SearchState import qualified BishBosh.Types as T import qualified Data.Array.IArray import qualified Data.Bits import qualified System.Random import qualified Test.QuickCheck -- | A suitable concrete type for testing. type SearchState = Search.SearchState.SearchState T.X T.Y T.PositionHash T.CriterionValue T.WeightedMean instance forall x y positionHash criterionValue weightedMean. ( Data.Array.IArray.Ix x, Data.Bits.FiniteBits positionHash, Fractional criterionValue, Fractional weightedMean, Integral x, Integral y, Num positionHash, Real criterionValue, Real weightedMean, Show positionHash, Show x, Show y, System.Random.Random positionHash, Test.QuickCheck.Arbitrary criterionValue, Test.QuickCheck.Arbitrary weightedMean, Test.QuickCheck.Arbitrary x, Test.QuickCheck.Arbitrary y ) => Test.QuickCheck.Arbitrary (Search.SearchState.SearchState x y positionHash criterionValue weightedMean) where {-# SPECIALISE instance Test.QuickCheck.Arbitrary SearchState #-} arbitrary = do evaluationOptions <- Test.QuickCheck.arbitrary Search.SearchState.initialise <$> ( Evaluation.PositionHashQuantifiedGameTree.mkPositionHashQuantifiedGameTree ( evaluationOptions :: Input.EvaluationOptions.EvaluationOptions T.CriterionWeight T.PieceSquareValue T.RankValue x y ) <$> Test.QuickCheck.arbitrary {-SearchOptions-} <*> Test.QuickCheck.arbitrary {-Zobrist-} <*> return {-to Gen-monad-} Property.Empty.empty {-MoveFrequency-} <*> Test.QuickCheck.arbitrary {-Game-} )