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2 Commits

Author SHA1 Message Date
Johannes Merl
4286ee36d9 iris ready 2024-03-17 18:14:52 +01:00
Johannes Merl
f891229937 template 2024-03-11 11:03:38 +01:00
6 changed files with 337 additions and 91 deletions

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@ -31,6 +31,7 @@ import Data.Random
import Pipes
import Pretty
import Protolude
import Protolude.Error
import System.Random.MWC (create, createSystemRandom)
import Test.QuickCheck hiding (sample, shuffle)
import Test.QuickCheck.Instances ()
@ -55,7 +56,7 @@ class (Pretty e, Individual i) => Environment i e | e -> i where
-- Generates a random population of the given size.
population :: e -> N -> RVar (Population i)
population env n
| n <= 0 = undefined
| n <= 0 = error "nonPositive in population"
| otherwise = NE.fromList <$> replicateM n (new env)
mutate :: e -> i -> RVar i
@ -266,7 +267,7 @@ tournament1 ::
RVar i
tournament1 eval nTrnmnt pop
-- TODO Use Positive for this constraint
| nTrnmnt <= 0 = undefined
| nTrnmnt <= 0 = error "nonPositive in tournament1"
| otherwise = do
paricipants <- withoutReplacement nTrnmnt pop
return $ NE.head $ fst $ bests eval 1 paricipants
@ -279,7 +280,7 @@ withoutReplacement ::
N ->
Population i ->
RVar (NonEmpty i)
withoutReplacement 0 _ = undefined
withoutReplacement 0 _ = error "0 in withoutReplacement"
withoutReplacement n pop
| n >= length pop = return pop
| otherwise = fmap (NE.fromList) (shuffleNofM n (length pop) (NE.toList pop))

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@ -17,40 +17,6 @@ instance ToRecord IrisClass
irisTrainingData :: [((Float, Float, Float, Float), IrisClass)]
irisTrainingData =
[ ((5.0, 3.5, 1.6, 0.6), Setosa),
((4.6, 3.1, 1.5, 0.2), Setosa),
((4.8, 3.4, 1.6, 0.2), Setosa),
((4.8, 3.0, 1.4, 0.3), Setosa),
((6.4, 2.9, 4.3, 1.3), Versicolor),
((5.5, 2.6, 4.4, 1.2), Versicolor),
((5.2, 2.7, 3.9, 1.4), Versicolor),
((6.0, 2.9, 4.5, 1.5), Versicolor),
((5.3, 3.7, 1.5, 0.2), Setosa),
((6.4, 3.2, 5.3, 2.3), Virginica),
((6.4, 3.1, 5.5, 1.8), Virginica),
((5.1, 3.8, 1.6, 0.2), Setosa),
((5.1, 3.7, 1.5, 0.4), Setosa),
((4.6, 3.4, 1.4, 0.3), Setosa),
((5.6, 3.0, 4.1, 1.3), Versicolor),
((6.1, 3.0, 4.6, 1.4), Versicolor),
((5.2, 3.5, 1.5, 0.2), Setosa),
((7.4, 2.8, 6.1, 1.9), Virginica),
((6.5, 2.8, 4.6, 1.5), Versicolor),
((6.3, 3.3, 6.0, 2.5), Virginica),
((4.8, 3.1, 1.6, 0.2), Setosa),
((7.7, 3.0, 6.1, 2.3), Virginica),
((6.0, 2.2, 5.0, 1.5), Virginica),
((5.5, 2.5, 4.0, 1.3), Versicolor),
((6.5, 3.0, 5.5, 1.8), Virginica),
((4.4, 2.9, 1.4, 0.2), Setosa),
((6.4, 3.2, 4.5, 1.5), Versicolor),
((5.0, 3.4, 1.6, 0.4), Setosa),
((6.1, 2.6, 5.6, 1.4), Virginica),
((6.6, 2.9, 4.6, 1.3), Versicolor)
]
irisTestData :: [((Float, Float, Float, Float), IrisClass)]
irisTestData =
[ ((6.7, 3.1, 4.4, 1.4), Versicolor),
((5.4, 3.7, 1.5, 0.2), Setosa),
((5.4, 3.0, 4.5, 1.5), Versicolor),
@ -170,4 +136,39 @@ irisTestData =
((5.7, 2.5, 5.0, 2.0), Virginica),
((6.8, 2.8, 4.8, 1.4), Versicolor),
((6.3, 2.9, 5.6, 1.8), Virginica),
((6.0, 2.2, 4.0, 1.0), Versicolor)]
((6.0, 2.2, 4.0, 1.0), Versicolor)
]
irisTestData :: [((Float, Float, Float, Float), IrisClass)]
irisTestData =
[ ((5.0, 3.5, 1.6, 0.6), Setosa),
((4.6, 3.1, 1.5, 0.2), Setosa),
((4.8, 3.4, 1.6, 0.2), Setosa),
((4.8, 3.0, 1.4, 0.3), Setosa),
((6.4, 2.9, 4.3, 1.3), Versicolor),
((5.5, 2.6, 4.4, 1.2), Versicolor),
((5.2, 2.7, 3.9, 1.4), Versicolor),
((6.0, 2.9, 4.5, 1.5), Versicolor),
((5.3, 3.7, 1.5, 0.2), Setosa),
((6.4, 3.2, 5.3, 2.3), Virginica),
((6.4, 3.1, 5.5, 1.8), Virginica),
((5.1, 3.8, 1.6, 0.2), Setosa),
((5.1, 3.7, 1.5, 0.4), Setosa),
((4.6, 3.4, 1.4, 0.3), Setosa),
((5.6, 3.0, 4.1, 1.3), Versicolor),
((6.1, 3.0, 4.6, 1.4), Versicolor),
((5.2, 3.5, 1.5, 0.2), Setosa),
((7.4, 2.8, 6.1, 1.9), Virginica),
((6.5, 2.8, 4.6, 1.5), Versicolor),
((6.3, 3.3, 6.0, 2.5), Virginica),
((4.8, 3.1, 1.6, 0.2), Setosa),
((7.7, 3.0, 6.1, 2.3), Virginica),
((6.0, 2.2, 5.0, 1.5), Virginica),
((5.5, 2.5, 4.0, 1.3), Versicolor),
((6.5, 3.0, 5.5, 1.8), Virginica),
((4.4, 2.9, 1.4, 0.2), Setosa),
((6.4, 3.2, 4.5, 1.5), Versicolor),
((5.0, 3.4, 1.6, 0.4), Setosa),
((6.1, 2.6, 5.6, 1.4), Virginica),
((6.6, 2.9, 4.6, 1.3), Versicolor)
]

177
src/IrisData.hs.template Normal file
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@ -0,0 +1,177 @@
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE TypeApplications #-}
{-# LANGUAGE NoImplicitPrelude #-}
module IrisData where
import Data.Csv
import Protolude
data IrisClass = Setosa | Virginica | Versicolor deriving (Eq, Generic, Show, Enum, Bounded)
instance FromRecord IrisClass
instance ToRecord IrisClass
irisData :: [((Float, Float, Float, Float), IrisClass)]
irisData =
[
((5.0, 3.5, 1.6, 0.6), Setosa),
((4.6, 3.1, 1.5, 0.2), Setosa),
((4.8, 3.4, 1.6, 0.2), Setosa),
((4.8, 3.0, 1.4, 0.3), Setosa),
((6.4, 2.9, 4.3, 1.3), Versicolor),
((5.5, 2.6, 4.4, 1.2), Versicolor),
((5.2, 2.7, 3.9, 1.4), Versicolor),
((6.0, 2.9, 4.5, 1.5), Versicolor),
((5.3, 3.7, 1.5, 0.2), Setosa),
((6.4, 3.2, 5.3, 2.3), Virginica),
((6.4, 3.1, 5.5, 1.8), Virginica),
((5.1, 3.8, 1.6, 0.2), Setosa),
((5.1, 3.7, 1.5, 0.4), Setosa),
((4.6, 3.4, 1.4, 0.3), Setosa),
((5.6, 3.0, 4.1, 1.3), Versicolor),
((6.1, 3.0, 4.6, 1.4), Versicolor),
((5.2, 3.5, 1.5, 0.2), Setosa),
((7.4, 2.8, 6.1, 1.9), Virginica),
((6.5, 2.8, 4.6, 1.5), Versicolor),
((6.3, 3.3, 6.0, 2.5), Virginica),
((4.8, 3.1, 1.6, 0.2), Setosa),
((7.7, 3.0, 6.1, 2.3), Virginica),
((6.0, 2.2, 5.0, 1.5), Virginica),
((5.5, 2.5, 4.0, 1.3), Versicolor),
((6.5, 3.0, 5.5, 1.8), Virginica),
((4.4, 2.9, 1.4, 0.2), Setosa),
((6.4, 3.2, 4.5, 1.5), Versicolor),
((5.0, 3.4, 1.6, 0.4), Setosa),
((6.1, 2.6, 5.6, 1.4), Virginica),
((6.6, 2.9, 4.6, 1.3), Versicolor),
((6.7, 3.1, 4.4, 1.4), Versicolor),
((5.4, 3.7, 1.5, 0.2), Setosa),
((5.4, 3.0, 4.5, 1.5), Versicolor),
((5.1, 3.8, 1.5, 0.3), Setosa),
((5.0, 2.3, 3.3, 1.0), Versicolor),
((6.0, 2.7, 5.1, 1.6), Versicolor),
((4.6, 3.2, 1.4, 0.2), Setosa),
((5.6, 2.7, 4.2, 1.3), Versicolor),
((6.7, 3.3, 5.7, 2.1), Virginica),
((6.9, 3.1, 5.1, 2.3), Virginica),
((7.7, 3.8, 6.7, 2.2), Virginica),
((6.1, 2.8, 4.7, 1.2), Versicolor),
((5.8, 2.7, 3.9, 1.2), Versicolor),
((6.7, 3.3, 5.7, 2.5), Virginica),
((5.0, 3.4, 1.5, 0.2), Setosa),
((4.7, 3.2, 1.6, 0.2), Setosa),
((6.8, 3.0, 5.5, 2.1), Virginica),
((6.2, 2.2, 4.5, 1.5), Versicolor),
((5.7, 3.8, 1.7, 0.3), Setosa),
((5.8, 4.0, 1.2, 0.2), Setosa),
((7.2, 3.2, 6.0, 1.8), Virginica),
((5.8, 2.7, 4.1, 1.0), Versicolor),
((6.5, 3.0, 5.8, 2.2), Virginica),
((6.9, 3.2, 5.7, 2.3), Virginica),
((5.8, 2.7, 5.1, 1.9), Virginica),
((5.2, 4.1, 1.5, 0.1), Setosa),
((4.6, 3.6, 1.0, 0.2), Setosa),
((4.7, 3.2, 1.3, 0.2), Setosa),
((6.9, 3.1, 5.4, 2.1), Virginica),
((6.1, 2.9, 4.7, 1.4), Versicolor),
((6.0, 3.4, 4.5, 1.6), Versicolor),
((5.6, 3.0, 4.5, 1.5), Versicolor),
((5.2, 3.4, 1.4, 0.2), Setosa),
((6.3, 3.3, 4.7, 1.6), Versicolor),
((7.2, 3.6, 6.1, 2.5), Virginica),
((6.5, 3.2, 5.1, 2.0), Virginica),
((6.3, 2.5, 4.9, 1.5), Versicolor),
((5.1, 3.8, 1.9, 0.4), Setosa),
((7.0, 3.2, 4.7, 1.4), Versicolor),
((4.9, 3.1, 1.5, 0.1), Setosa),
((4.9, 2.4, 3.3, 1.0), Versicolor),
((6.1, 3.0, 4.9, 1.8), Virginica),
((4.9, 3.1, 1.5, 0.1), Setosa),
((6.2, 2.9, 4.3, 1.3), Versicolor),
((5.7, 3.0, 4.2, 1.2), Versicolor),
((7.2, 3.0, 5.8, 1.6), Virginica),
((5.0, 2.0, 3.5, 1.0), Versicolor),
((4.3, 3.0, 1.1, 0.1), Setosa),
((6.7, 3.1, 4.7, 1.5), Versicolor),
((5.5, 2.4, 3.8, 1.1), Versicolor),
((5.7, 2.8, 4.5, 1.3), Versicolor),
((7.7, 2.8, 6.7, 2.0), Virginica),
((7.6, 3.0, 6.6, 2.1), Virginica),
((4.9, 2.5, 4.5, 1.7), Virginica),
((5.1, 2.5, 3.0, 1.1), Versicolor),
((6.4, 2.8, 5.6, 2.1), Virginica),
((6.4, 2.8, 5.6, 2.2), Virginica),
((5.9, 3.0, 5.1, 1.8), Virginica),
((4.4, 3.2, 1.3, 0.2), Setosa),
((6.3, 2.3, 4.4, 1.3), Versicolor),
((5.4, 3.4, 1.7, 0.2), Setosa),
((4.9, 3.0, 1.4, 0.2), Setosa),
((6.7, 3.0, 5.2, 2.3), Virginica),
((5.0, 3.5, 1.3, 0.3), Setosa),
((5.1, 3.3, 1.7, 0.5), Setosa),
((7.7, 2.6, 6.9, 2.3), Virginica),
((5.6, 2.9, 3.6, 1.3), Versicolor),
((7.3, 2.9, 6.3, 1.8), Virginica),
((6.7, 3.1, 5.6, 2.4), Virginica),
((6.3, 2.8, 5.1, 1.5), Virginica),
((5.6, 2.5, 3.9, 1.1), Versicolor),
((5.4, 3.9, 1.3, 0.4), Setosa),
((5.5, 2.3, 4.0, 1.3), Versicolor),
((6.4, 2.7, 5.3, 1.9), Virginica),
((5.1, 3.5, 1.4, 0.3), Setosa),
((5.5, 3.5, 1.3, 0.2), Setosa),
((5.0, 3.2, 1.2, 0.2), Setosa),
((5.1, 3.4, 1.5, 0.2), Setosa),
((5.4, 3.9, 1.7, 0.4), Setosa),
((4.5, 2.3, 1.3, 0.3), Setosa),
((6.7, 3.0, 5.0, 1.7), Versicolor),
((5.0, 3.3, 1.4, 0.2), Setosa),
((7.1, 3.0, 5.9, 2.1), Virginica),
((5.8, 2.6, 4.0, 1.2), Versicolor),
((6.3, 2.7, 4.9, 1.8), Virginica),
((6.8, 3.2, 5.9, 2.3), Virginica),
((6.6, 3.0, 4.4, 1.4), Versicolor),
((5.4, 3.4, 1.5, 0.4), Setosa),
((5.0, 3.6, 1.4, 0.2), Setosa),
((5.9, 3.2, 4.8, 1.8), Versicolor),
((6.3, 2.5, 5.0, 1.9), Virginica),
((6.0, 3.0, 4.8, 1.8), Virginica),
((7.9, 3.8, 6.4, 2.0), Virginica),
((5.9, 3.0, 4.2, 1.5), Versicolor),
((4.8, 3.0, 1.4, 0.1), Setosa),
((5.7, 2.8, 4.1, 1.3), Versicolor),
((6.7, 2.5, 5.8, 1.8), Virginica),
((5.7, 2.6, 3.5, 1.0), Versicolor),
((4.4, 3.0, 1.3, 0.2), Setosa),
((4.8, 3.4, 1.9, 0.2), Setosa),
((6.3, 3.4, 5.6, 2.4), Virginica),
((5.5, 4.2, 1.4, 0.2), Setosa),
((5.0, 3.0, 1.6, 0.2), Setosa),
((5.7, 2.9, 4.2, 1.3), Versicolor),
((6.2, 2.8, 4.8, 1.8), Virginica),
((6.2, 3.4, 5.4, 2.3), Virginica),
((6.5, 3.0, 5.2, 2.0), Virginica),
((4.9, 3.1, 1.5, 0.1), Setosa),
((5.8, 2.7, 5.1, 1.9), Virginica),
((5.1, 3.5, 1.4, 0.2), Setosa),
((5.6, 2.8, 4.9, 2.0), Virginica),
((5.5, 2.4, 3.7, 1.0), Versicolor),
((6.1, 2.8, 4.0, 1.3), Versicolor),
((5.7, 4.4, 1.5, 0.4), Setosa),
((6.9, 3.1, 4.9, 1.5), Versicolor),
((5.8, 2.8, 5.1, 2.4), Virginica),
((5.7, 2.5, 5.0, 2.0), Virginica),
((6.8, 2.8, 4.8, 1.4), Versicolor),
((6.3, 2.9, 5.6, 1.8), Virginica),
((6.0, 2.2, 4.0, 1.0), Versicolor),
]
irisTestData :: [((Float, Float, Float, Float), IrisClass)]
irisTestData =
[
]

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@ -12,21 +12,19 @@ module IrisDataset
)
where
import qualified Data.ByteString.Lazy as B
import Data.Csv
import qualified Data.List.NonEmpty as NE
import qualified Data.Map.Strict as Map
import Data.Random
import Data.Random.Distribution.Uniform
import qualified Data.Text as T
import Data.Tuple.Extra
import qualified Debug.Trace as DB
import GA
import LambdaCalculus
import IrisData
import qualified Language.Haskell.Interpreter as Hint
import qualified Language.Haskell.Interpreter.Unsafe as Hint
import Protolude
import Protolude.Error
import qualified Type.Reflection as Ref
irisLE :: LambdaEnviroment
@ -37,9 +35,9 @@ irisLE =
[ ((Ref.SomeTypeRep (Ref.TypeRep @(Float -> Float -> Float))), ["(+)", "(-)", "(*)"]),
((Ref.SomeTypeRep (Ref.TypeRep @(Float -> Float -> Bool))), ["(>)", "(==)", "(>=)"]),
((Ref.SomeTypeRep (Ref.TypeRep @(IrisClass -> IrisClass -> Bool))), ["(==)"]),
((Ref.SomeTypeRep (Ref.TypeRep @(Bool -> Float -> Float -> Float))), ["if'"]),
((Ref.SomeTypeRep (Ref.TypeRep @(Bool -> Float -> Float -> Float))), ["if'","if'","if'","if'","if'","if'","if'","if'"]),
((Ref.SomeTypeRep (Ref.TypeRep @(Bool -> Bool -> Bool))), ["(&&)", "(||)"]),
((Ref.SomeTypeRep (Ref.TypeRep @(Bool -> IrisClass -> IrisClass -> IrisClass))), ["if'"])
((Ref.SomeTypeRep (Ref.TypeRep @(Bool -> IrisClass -> IrisClass -> IrisClass))), ["if'","if'","if'","if'","if'","if'","if'","if'","if'","if'"])
],
constants =
Map.fromList
@ -53,9 +51,9 @@ irisLE =
ExpressionWeights
{ lambdaSpucker = 1,
lambdaSchlucker = 1,
symbol = 1,
variable = 2,
constant = 1
symbol = 30,
variable = 100,
constant = 5
}
}
@ -64,14 +62,15 @@ irisLEE =
LamdaExecutionEnv
{ -- For now these need to define all available functions and types. Generic functions can be used.
imports = ["IrisDataset"],
-- Path to a CSV file containing the training dataset
trainingDataset = "./iris.csv",
-- Path to a CSV file containing the dataset results
trainingDatasetRes = "./res.csv",
training = True,
trainingData =
( map fst irisTrainingData,
map snd irisTrainingData
),
testData =
( map fst irisTestData,
map snd irisTestData
),
exTargetType = (Ref.SomeTypeRep (Ref.TypeRep @(Float -> Float -> Float -> Float -> IrisClass))),
-- todo: kindaHacky
results = Map.empty
@ -80,11 +79,9 @@ irisLEE =
data LamdaExecutionEnv = LamdaExecutionEnv
{ -- For now these need to define all available functions and types. Generic functions can be used.
imports :: [Text],
-- Path to a CSV file containing the training dataset
trainingDataset :: FilePath,
-- Path to a CSV file containing the dataset results
trainingDatasetRes :: FilePath,
training :: Bool,
trainingData :: ([(Float, Float, Float, Float)], [IrisClass]),
testData :: ([(Float, Float, Float, Float)], [IrisClass]),
exTargetType :: TypeRep,
-- todo: kindaHacky
results :: Map TypeRequester FittnesRes
@ -96,7 +93,6 @@ data FittnesRes = FittnesRes
fitnessGeoMean :: R,
fitnessMean :: R,
accuracy :: Int,
biasDist :: R,
biasSize :: R
}
deriving (Show)
@ -111,9 +107,11 @@ instance Evaluator TypeRequester LamdaExecutionEnv FittnesRes where
let toAdd = NE.filter (\k -> not (Map.member k (results env))) pop
toInsert <- Hint.runInterpreter (evalResults env toAdd)
let insertPair (key, val) m = Map.insert key val m
let res = foldr insertPair (results env) (fromRight undefined toInsert)
let res = foldr insertPair (results env) (fromRight (error ("To insert is " <> show toInsert)) toInsert)
return env {results = res}
dset :: LamdaExecutionEnv -> ([(Float, Float, Float, Float)], [IrisClass])
dset lEE = if training lEE then trainingData lEE else testData lEE
evalResults :: LamdaExecutionEnv -> [TypeRequester] -> Hint.InterpreterT IO [(TypeRequester, FittnesRes)]
evalResults ex trs = mapM (evalResult ex) trs
@ -123,11 +121,10 @@ evalResult ex tr = do
Hint.setImports $ (map T.unpack (imports ex)) ++ ["Protolude"]
Hint.unsafeSetGhcOption "-O2"
result <- Hint.interpret (T.unpack (toLambdaExpressionS tr)) (Hint.as :: Float -> Float -> Float -> Float -> IrisClass)
let res = map (\(a, b, c, d) -> result a b c d) (fst (trainingData ex))
let resAndTarget = (zip (snd (trainingData ex)) res)
let res = map (\(a, b, c, d) -> result a b c d) (fst (dset ex))
let resAndTarget = (zip (snd (dset ex)) res)
let acc = (foldr (\ts s -> if ((fst ts) == (snd ts)) then s + 1 else s) 0 resAndTarget) :: Int
let biasWellDistributed = (foldr (*) 1 (map (\ty -> (foldr (\ts s -> if ((snd ts) == ty) then s + 1 else s) 1 resAndTarget)) ([minBound .. maxBound] :: [IrisClass]) :: [R])) ** (1 / 3) -- 1 (schlecht) bis 51 (gut)
let biasSmall = exp (-(fromIntegral (countTrsR tr))) -- 0 (schlecht) bis 1 (gut)
let biasSmall = exp ((-(fromIntegral (countTrsR tr)))/1000) -- 0 (schlecht) bis 1 (gut)
let fitness' = meanOfAccuricyPerClass resAndTarget
let score = fitness' + (biasSmall - 1)
return
@ -138,7 +135,6 @@ evalResult ex tr = do
fitnessMean = meanOfAccuricyPerClass resAndTarget,
fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,
accuracy = acc,
biasDist = biasWellDistributed,
biasSize = biasSmall
}
)

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@ -9,7 +9,7 @@
module LambdaCalculus where
import Data.List (foldr1, last)
import Data.List (foldr1, last, nub, intersect, (!!), (\\))
import qualified Data.List.NonEmpty as NE
import qualified Data.Map.Strict as Map
import Data.Maybe
@ -20,6 +20,8 @@ import Data.Typeable
import GA
import Pretty
import Protolude
import Protolude.Error
import Debug.Trace as DB
import Test.QuickCheck hiding (sample, shuffle)
import Test.QuickCheck.Monadic (assert, monadicIO)
import qualified Type.Reflection as Ref
@ -92,7 +94,8 @@ toLambdaExpressionS :: TypeRequester -> Text
toLambdaExpressionS (TR typeRep (Just lambdaExpression) boundVars) = "((" <> eToLambdaExpressionS lambdaExpression <> ") :: (" <> show typeRep <> "))"
toLambdaExpressionS (TR _ (Nothing) _) = "Invalid Lambda Epr"
-- data LambdaExpression = LambdaSpucker TypeRequester TypeRequester BoundVars | LambdaSchlucker TypeRequester BoundVars | Symbol ConVal [TypeRequester] BoundVars | Var TypeRep Int | Constan ConVal
-- data LambdaExpression = LambdaSpucker TypeRequester TypeRequester BoundVars | LambdaSchlucker TypeRequester BoundVars | Symbol ConVal [TypeRequester] BoundVars | Var TypeRep Int [TypeRequester] BoundVars | Constan ConVal deriving (Eq, Ord, Show)
eToLambdaExpressionS :: LambdaExpression -> Text
eToLambdaExpressionS (LambdaSpucker typeRequester1 typeRequester2 boundVars) = "(\\l" <> showSanifid (last boundVars) <> show (count boundVars (last boundVars) - 1) <> " -> " <> toLambdaExpressionS typeRequester2 <> ") " <> toLambdaExpressionS typeRequester1
@ -240,53 +243,119 @@ instance Environment TypeRequester LambdaEnviroment where
nX _ = 3 -- todo!
crossover1 env@(LambdaEnviroment _ _ _ maxDepth _) tr1 tr2 = do
return Nothing
let trCount = countTrsR tr1
selectedIndex1 <- uniform 1 trCount
let (depthAt, selectedTr1@(TR _ _ bound1)) = depthLeftAndTypeAtR tr1 selectedIndex1 maxDepth
let indexes = findIndicesWhere tr2 (isCompatibleTr selectedTr1) 0
if length indexes == 0 then return Nothing else (do
(selectedTr2@(TR _ _ bound2),selectedIndex2) <- randomElement indexes
selectedTr2 <- adaptBoundVars selectedTr2 bound1
selectedTr1 <- adaptBoundVars selectedTr1 bound2
let child1 = replaceAtR selectedIndex1 tr1 selectedTr2
let child2 = replaceAtR selectedIndex2 tr2 selectedTr1
return $ Just (child1, child2)
)
-- TODO: crossover!
-- let trCount = countTrsR tr1
-- selectedIndex1 <- uniform 1 trCount
-- let (depthAt, selectedTr1@(TR trep _ bound)) = depthLeftAndTypeAtR tr selectedTR maxDepth
-- let indexes = findIndicesWhere tr2 ( == trep)
-- if length indexes == 0 then return Nothing else (do
-- (selectedTr2,selectedIndex2) <- randomElement indexes)
-- helper
adaptBoundVars:: TypeRequester -> BoundVars -> RVar TypeRequester
adaptBoundVars tr@(TR _ _ bvOld) bvNew = do
newIndexMap <- generateConversionIndexMap bvOld bvNew
return $ convertTr tr bvOld bvNew newIndexMap
-- findIndicesWhere:: TypeRequester -> (TypeRep -> Bool) -> Int -> [(TypeRequester, Int)]
-- findIndicesWhere tr@(TR t lE _) filte indx = case lE of
-- Just le -> (tr, indx+1):(findIndicesWhere' (asList le) filte (indx+1))
-- Nothing -> undefined
convertTr:: TypeRequester -> BoundVars -> BoundVars -> Map TypeRep (Int -> Int) -> TypeRequester
convertTr tr@(TR tRp (Just le) bvCurr) bvOld bvNew mapper = TR tRp (Just (convertLe le bvOld bvNew mapper)) (bvNew ++ (bvCurr \\ bvOld))
convertTr _ _ _ _ = error "le Not Just (convertTr)"
-- findIndicesWhere':: [TypeRequester] -> (TypeRep -> Bool) -> Int -> [(TypeRequester, Int)]
-- findIndicesWhere' (tr:trs) f indx = (findIndicesWhere tr f indx) ++ (findIndicesWhere' trs f (indx + countTrsR tr))
-- data LambdaExpression = LambdaSpucker TypeRequester TypeRequester BoundVars | LambdaSchlucker TypeRequester BoundVars | Symbol ConVal [TypeRequester] BoundVars | Var TypeRep Int [TypeRequester] BoundVars | Constan ConVal deriving (Eq, Ord, Show)
convertLe:: LambdaExpression -> BoundVars -> BoundVars -> Map TypeRep (Int -> Int) -> LambdaExpression
convertLe (LambdaSpucker tr1 tr2 bvCurr) bvOld bvNew mapper = LambdaSpucker (convertTrf tr1) (convertTrf tr2) (bvNew ++ (bvCurr \\ bvOld))
where convertTrf tr = convertTr tr bvOld bvNew mapper
convertLe (LambdaSchlucker tr bvCurr) bvOld bvNew mapper = LambdaSchlucker (convertTrf tr) (bvNew ++ (bvCurr \\ bvOld))
where convertTrf tr = convertTr tr bvOld bvNew mapper
convertLe (Symbol cv trs bvCurr) bvOld bvNew mapper = Symbol cv (map convertTrf trs) (bvNew ++ (bvCurr \\ bvOld))
where convertTrf tr = convertTr tr bvOld bvNew mapper
convertLe (Var varType varNumber trs bvCurr) bvOld bvNew mapper = Var varType ((fromMaybe identity (Map.lookup varType mapper)) varNumber) (map convertTrf trs) (bvNew ++ (bvCurr \\ bvOld))
where convertTrf tr = convertTr tr bvOld bvNew mapper
convertLe le@(Constan _) _ _ _ = le
generateConversionIndexMap:: BoundVars -> BoundVars -> RVar (Map TypeRep (Int -> Int))
generateConversionIndexMap bvOld bvNew = do
funcs <- mapM (\bT -> genMapper (count bvOld bT - 1) (count bvNew bT - 1)) (nub bvOld)
return $ Map.fromList $ zip (nub bvOld) funcs
genMapper:: Int -> Int -> RVar (Int -> Int)
genMapper i j | i == j = return identity
| i < j = return $ \int -> if int <= i then int else int + (j-i)
| i > j = do
permutationForUnbound <- genPermutation i j
return $ genMapperRandomAssment i j permutationForUnbound
| otherwise = error "impossible case in genMapper"
genMapperRandomAssment:: Int -> Int -> [Int] -> Int -> Int
genMapperRandomAssment i j permutationForUnbound int | int <= j = int
| int > i = int - (i-j)
| otherwise = permutationForUnbound !! (int - j - 1)
genPermutation:: Int -> Int -> RVar [Int]
genPermutation i j = replicateM (i - j) (uniform 0 j)
isCompatibleTr:: TypeRequester -> TypeRequester -> Bool
isCompatibleTr tr1@(TR trep1 _ bound1) tr2@(TR trep2 _ bound2) | trep1 == trep2 = allUsedBound (usedVars bound1 tr1) bound2 && allUsedBound (usedVars bound2 tr2) bound1
| otherwise = False
allUsedBound :: BoundVars -> BoundVars -> Bool
allUsedBound used available = all (\x -> any (== x) available) used
usedVars :: BoundVars -> TypeRequester -> BoundVars
usedVars boundOld tr@(TR trep1 (Just (Var trp ind trs _)) _) = if any (== trp) boundOld && count boundOld trp > ind then trp : concatMap (usedVars boundOld) trs else concatMap (usedVars boundOld) trs
usedVars boundOld tr@(TR trep1 (Just le) _) = concatMap (usedVars boundOld) (asList le)
usedVars _ _ = error "Nothing in usedVars"
boundsConvertable:: BoundVars -> BoundVars -> Bool
boundsConvertable bv1 bv2 = length (nub bv2) == length (nub bv1) && length (intersect (nub bv1) bv2) == length (nub bv1)
findIndicesWhere:: TypeRequester -> (TypeRequester -> Bool) -> Int -> [(TypeRequester, Int)]
findIndicesWhere tr@(TR t lE _) filte indx = case lE of
Just le -> if filte tr then (tr, indx+1):(findIndicesWhere' (asList le) filte (indx+1)) else (findIndicesWhere' (asList le) filte (indx+1))
Nothing -> error "Nothing in findIndicesWhere"
findIndicesWhere':: [TypeRequester] -> (TypeRequester -> Bool) -> Int -> [(TypeRequester, Int)]
findIndicesWhere' [] _ _ = []
findIndicesWhere' [tr] f indx = (findIndicesWhere tr f indx)
findIndicesWhere' (tr:trs) f indx = (findIndicesWhere tr f indx) ++ (findIndicesWhere' trs f (indx + countTrsR tr))
replaceAtR :: Int -> TypeRequester -> TypeRequester -> TypeRequester
replaceAtR 1 _ with = with
replaceAtR i (TR tm (Just le) bV) with = TR tm (Just (replaceAt (i - 1) le with)) bV
replaceAtR _ (TR _ Nothing _) _ = undefined
replaceAtR _ (TR _ Nothing _) _ = error "Nothing in replaceAtR"
replaceAt :: Int -> LambdaExpression -> TypeRequester -> LambdaExpression
replaceAt i le@(LambdaSpucker _ _ bv) with = LambdaSpucker (fromJust (head trs)) (last trs) bv where trs = replaceInSubtreeWithIndex i (asList le) with
replaceAt i (LambdaSchlucker tr bv) with = LambdaSchlucker (replaceAtR i tr with) bv
replaceAt i le@(Symbol cv _ bv) with = Symbol cv trs bv where trs = replaceInSubtreeWithIndex i (asList le) with
replaceAt i le@(Var tr ix _ bv) with = Var tr ix trs bv where trs = replaceInSubtreeWithIndex i (asList le) with
replaceAt _ (Constan _) _ = undefined
replaceAt _ (Constan _) _ = error "Nothing in replaceAt"
replaceInSubtreeWithIndex :: Int -> [TypeRequester] -> TypeRequester -> [TypeRequester]
replaceInSubtreeWithIndex indexLeft (tr : trs) with = if countTrsR tr >= indexLeft then (replaceAtR indexLeft tr with) : trs else tr : (replaceInSubtreeWithIndex (indexLeft - countTrsR tr) trs with)
replaceInSubtreeWithIndex _ [] _ = undefined
replaceInSubtreeWithIndex _ [] _ = error "Index not found in replaceInSubtreeWithIndex"
depthLeftAndTypeAtR :: TypeRequester -> Int -> Int -> (Int, TypeRequester)
depthLeftAndTypeAtR t 1 depthLeft = ((depthLeft - 1), t)
depthLeftAndTypeAtR (TR _ (Just le) _) indexLeft depthLeft = depthLeftAndTypeAt le (indexLeft - 1) (depthLeft - 1)
depthLeftAndTypeAtR (TR _ Nothing _) indexLeft depthLeft = undefined
depthLeftAndTypeAtR (TR _ Nothing _) indexLeft depthLeft = error "Nothing in depthLeftAndTypeAtR"
depthLeftAndTypeAt :: LambdaExpression -> Int -> Int -> (Int, TypeRequester)
depthLeftAndTypeAt le indexLeft depthLeft = depthLeftAndTypeInSubtreeWithIndex (asList le) indexLeft depthLeft
depthLeftAndTypeInSubtreeWithIndex :: [TypeRequester] -> Int -> Int -> (Int, TypeRequester)
depthLeftAndTypeInSubtreeWithIndex (tr : trs) indexLeft depthLeft = if countTrsR tr >= indexLeft then depthLeftAndTypeAtR tr indexLeft depthLeft else depthLeftAndTypeInSubtreeWithIndex trs (indexLeft - countTrsR tr) depthLeft
depthLeftAndTypeInSubtreeWithIndex [] indexLeft depthLeft = undefined
depthLeftAndTypeInSubtreeWithIndex [] indexLeft depthLeft = error "Index not found in depthLeftAndTypeInSubtreeWithIndex"
countTrsR :: TypeRequester -> Int
countTrsR tr@(TR t lE _) = case lE of

View File

@ -10,6 +10,8 @@ import System.IO
-- import Szenario212Pun
-- import Szenario191
import IrisDataset
import Debug.Trace as DB
import qualified Data.Map.Strict as Map
data Options = Options
{ iterations :: !N,
@ -24,7 +26,7 @@ options =
( long "iterations"
<> short 'i'
<> metavar "N"
<> value 1000
<> value 500
<> help "Number of iterations"
)
<*> option
@ -32,7 +34,7 @@ options =
( long "population-size"
<> short 'p'
<> metavar "N"
<> value 50
<> value 100
<> help "Population size"
)
@ -52,12 +54,12 @@ main =
let env = irisLE
let selType = Tournament 3
let run' = run irisLEE env selType 40 (5 / 100) (populationSize opts) (steps (iterations opts))
pop' <-
runEffect (for run' logCsv)
irisLE <- calc irisLEE pop'
let (res, _) = bests irisLE 5 pop'
mapM_ (format irisLE) res
pop' <- runEffect (for run' logCsv)
irisLEE' <- calc irisLEE pop'
let (res, _) = bests irisLEE' 5 pop'
let irisLEE' = irisLEE {training = False}
irisLEE' <- calc irisLEE' res
mapM_ (format irisLEE') res
where
format irisL s = do
let f = fitness' irisL s