{- 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@] Defines an entry in the transposition-table. -} module BishBosh.Search.TranspositionValue ( -- * Types -- ** Type-synonyms IsOptimal, FindFitness, -- ** Data-types Value( -- MkValue, getIsOptimal, getNPlies, getMoves ), -- * Functions inferSearchDepth, -- ** Constructor mkValue, -- ** Predicates isBetter ) where import qualified BishBosh.Component.Move as Component.Move import qualified BishBosh.Data.Exception as Data.Exception import qualified Control.Exception import qualified Data.Ord -- | Whether the recorded move-sequence is known to be optimal. type IsOptimal = Bool -- | The type of the values in the transposition-table. data Value move = MkValue { getIsOptimal :: IsOptimal, getNPlies :: Component.Move.NPlies, -- ^ The number of plies applied to the /game/ before application of any of the specified moves. getMoves :: [move] -- ^ The sequence of moves applied to the /game/, which caused the alpha-beta event. } -- | Smart constructor. mkValue :: IsOptimal -> Component.Move.NPlies -> [move] -> Value move mkValue _ _ [] = Control.Exception.throw $ Data.Exception.mkNullDatum "BishBosh.Search.TranspositionValue.mkValue:\tnull list of moves." mkValue isOptimal nPlies moves | nPlies < 0 = Control.Exception.throw $ Data.Exception.mkOutOfBounds "BishBosh.Search.TranspositionValue.mkValue:\tnPlies can't be negative." | otherwise = MkValue { getIsOptimal = isOptimal, getNPlies = nPlies, getMoves = moves } -- | Infer the search-depth from the length of the move-sequence. inferSearchDepth :: Value move -> Component.Move.NPlies inferSearchDepth = length . getMoves {- | * The type of a function which can find the fitness of the game resulting from the recorded sequence of moves. * CAVEAT: the fitness this function returns should be from the perspective of the player to make the first move. -} type FindFitness move weightedMean = Value move -> weightedMean {- | * Whether a proposed value is better than the incumbent. * CAVEAT: this is a narrower concept than addressed by 'Ord', which implies 'Eq'. -} isBetter :: Ord weightedMean => FindFitness move weightedMean -> Value move -- ^ The proposed value. -> Value move -- ^ The incumbent value. -> Bool isBetter findFitness proposedValue incumbentValue = case Data.Ord.comparing inferSearchDepth proposedValue incumbentValue of GT -> True -- The new search is deeper. EQ -> getIsOptimal proposedValue || Data.Ord.comparing findFitness proposedValue incumbentValue == GT _ -> False