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bishbosh-0.0.0.1: src-test/BishBosh/Test/QuickCheck/Search/SearchState.hs

{-# 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 <http://www.gnu.org/licenses/>.
-}
{- |
 [@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-}
		 )