diff --git a/haga.cabal b/haga.cabal
index 74b1ed2..adcdb34 100644
--- a/haga.cabal
+++ b/haga.cabal
@@ -1,4 +1,4 @@
-cabal-version:       2.2
+cabal-version:       3.4
 name:                haga
 version:             0.1.0.0
 synopsis:            Simplistic genetic algorithms library
@@ -43,23 +43,25 @@ library
                      , text
                      , wl-pprint-text
   default-language:    Haskell2010
-  ghc-options:         -Wall -Wno-name-shadowing -Wno-orphans -threaded -rtsopts -O2
-  hs-source-dirs:      src
+  ghc-options:         -Wall -Wno-name-shadowing -Wno-orphans -O2
+  hs-source-dirs:      lib, lambda/lib
+  other-modules:       CommonDefinition
   exposed-modules:     GA
-                     , Seminar
-                     , Pretty
-                     , Szenario191
                      , LambdaCalculus
-                     , NurseryDataset
-                     , NurseryData
+                     , Pretty
                      , Utils
-executable haga
+                     , LambdaDatasets.NurseryDefinition
+                     , LambdaDatasets.GermanDefinition
+                     , LambdaDatasets.IrisDefinition
+
+executable haga-lambda
   build-depends:       base
                      , bytestring
                      , cassava
                      , containers
                      , extra
                      , hint
+                     , haga
                      , monad-loops
                      , MonadRandom
                      , mwc-random
@@ -78,16 +80,32 @@ executable haga
                      , wl-pprint-text
   default-language:    Haskell2010
   ghc-options:         -Wall -Wno-name-shadowing -Wno-orphans -threaded -rtsopts -O2
-  hs-source-dirs:      src
+  hs-source-dirs:      lambda/src
   main-is:             Main.hs
-  other-modules:       GA
-                     , Seminar
-                     , Pretty
+  other-modules:       LambdaDatasets.NurseryDataset
+                     , LambdaDatasets.NurseryData
+                     , LambdaDatasets.GermanDataset
+                     , LambdaDatasets.GermanData
+                     , LambdaDatasets.IrisDataset
+                     , LambdaDatasets.IrisData
+
+executable haga-students
+  build-depends:       base
+                     , extra
+                     , haga
+                     , optparse-applicative
+                     , protolude
+                     , pipes
+                     , QuickCheck
+                     , quickcheck-instances
+                     , random-fu
+                     , text
+  default-language:    Haskell2010
+  ghc-options:         -Wall -Wno-name-shadowing -Wno-orphans -threaded -rtsopts -O2
+  hs-source-dirs:      src-students
+  main-is:             Main.hs
+  other-modules:       Seminar
                      , Szenario191
-                     , LambdaCalculus
-                     , NurseryDataset
-                     , NurseryData
-                     , Utils
 
 executable haga-test
   build-depends:       base
@@ -96,6 +114,7 @@ executable haga-test
                      , cassava
                      , containers
                      , extra
+                     , haga
                      , hint
                      , monad-loops
                      , MonadRandom
@@ -115,13 +134,5 @@ executable haga-test
                      , wl-pprint-text
   default-language:    Haskell2010
   ghc-options:         -Wall -Wno-name-shadowing -Wno-orphans -threaded -rtsopts -O2
-  hs-source-dirs:      src
+  hs-source-dirs:      lib
   main-is:             Test.hs
-  other-modules:       GA
-                     , Seminar
-                     , Pretty
-                     , Szenario191
-                     , LambdaCalculus
-                     , NurseryDataset
-                     , NurseryData
-                     , Utils
diff --git a/lambda/README.md b/lambda/README.md
new file mode 100644
index 0000000..2668dbe
--- /dev/null
+++ b/lambda/README.md
@@ -0,0 +1,17 @@
+# Why this split:
+
+
+The Module(s) used when evaluating individuals has to be in an external library to make Hint work. so we split the lamda-calculus command program in a library we need to expose in the main library and the implementation.
+
+Sadly, ghc / ghci / cabal can not properly make a public, internal library available to ghci (and, with that, Hint). Should this ever change:
+```
+library haga-lambda-lib
+  visibility:          public
+  build-depends:       base
+                     , protolude
+  default-language:    Haskell2010
+  ghc-options:         -Wall -Wno-orphans -O2
+  hs-source-dirs:      lambda/lib
+  other-modules:       CommonDefinition
+  exposed-modules:     LambdaDatasets.NurseryDefinition
+```
diff --git a/lambda/lib/CommonDefinition.hs b/lambda/lib/CommonDefinition.hs
new file mode 100644
index 0000000..67e120e
--- /dev/null
+++ b/lambda/lib/CommonDefinition.hs
@@ -0,0 +1,9 @@
+{-# LANGUAGE NoImplicitPrelude #-}
+
+module CommonDefinition where
+
+import Protolude
+
+if' :: Bool -> a -> a -> a
+if' True e _ = e
+if' False _ e = e
diff --git a/lambda/lib/LambdaDatasets/GermanDefinition.hs b/lambda/lib/LambdaDatasets/GermanDefinition.hs
new file mode 100644
index 0000000..45e7a75
--- /dev/null
+++ b/lambda/lib/LambdaDatasets/GermanDefinition.hs
@@ -0,0 +1,38 @@
+{-# LANGUAGE DeriveGeneric #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE TypeApplications #-}
+{-# LANGUAGE NoImplicitPrelude #-}
+
+module LambdaDatasets.GermanDefinition
+  ( module LambdaDatasets.GermanDefinition,
+    module CommonDefinition,
+  ) where
+
+
+import Protolude
+import CommonDefinition
+
+data GermanClass = Accept | Deny deriving (Eq, Generic, Show, Enum, Bounded)
+
+data AccountStatus = AccountInDebt | NoAccount | LowAccountBalance | HighAccountBalanceOrRegular deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data CreditHistory = HistoryGood | HistoryGoodHere | HistoryGoodSoFar | DelaysInHistory | CreditsExist deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Purpose = OldCar | NewCar | FunitureOrEquipment | Tech | Appliances | Repairs | Education | Retraining | Business | Other deriving (Eq, Generic, Show, Enum, Bounded)
+
+data Savings = UnknownOrNone | SmallSavings | NormalSavings | GoodSavings | GreatSavings deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data EmploymentStatus = NotEmployed | ShortTermEmployed | MediumTermEmployed | LongTermEmployed | VeteranEmployed deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data StatusAndSex = MaleAndSeperated | FemaleAndSeperatedOrMarried | MaleAndSingle | FemaleAndSingle | MaleAndWidowedOrMarried deriving (Eq, Generic, Show, Enum, Bounded)
+
+data OtherDebtors = NoOtherDebtors | CoApplicant | Guarantor deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Property = UnknownOrNoProperty | RealEstate | Savings | CarOrOther deriving (Eq, Generic, Show, Enum, Bounded)
+
+data OtherPlans = PlansAtBank | PlansAtStores | NoOtherPlans deriving (Eq, Generic, Show, Enum, Bounded)
+
+data Housing = Renting | OwningRecidency | ResidingForFree deriving (Eq, Generic, Show, Enum, Bounded)
+
+data Job = UnemployedOrUnskilledNonResident | UnskilledResident | Skilled | HighlySkilled deriving (Eq, Generic, Show, Enum, Bounded, Ord)
diff --git a/lambda/lib/LambdaDatasets/IrisDefinition.hs b/lambda/lib/LambdaDatasets/IrisDefinition.hs
new file mode 100644
index 0000000..965ef47
--- /dev/null
+++ b/lambda/lib/LambdaDatasets/IrisDefinition.hs
@@ -0,0 +1,16 @@
+{-# LANGUAGE DeriveGeneric #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE TypeApplications #-}
+{-# LANGUAGE NoImplicitPrelude #-}
+
+module LambdaDatasets.IrisDefinition
+  ( module LambdaDatasets.IrisDefinition,
+    module CommonDefinition,
+  ) where
+
+import Protolude
+import CommonDefinition
+
+data IrisClass = Setosa | Virginica | Versicolor deriving (Eq, Generic, Show, Enum, Bounded)
+
diff --git a/lambda/lib/LambdaDatasets/NurseryDefinition.hs b/lambda/lib/LambdaDatasets/NurseryDefinition.hs
new file mode 100644
index 0000000..2e6fd2e
--- /dev/null
+++ b/lambda/lib/LambdaDatasets/NurseryDefinition.hs
@@ -0,0 +1,32 @@
+{-# LANGUAGE DeriveGeneric #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE TypeApplications #-}
+{-# LANGUAGE NoImplicitPrelude #-}
+
+module LambdaDatasets.NurseryDefinition
+  ( module LambdaDatasets.NurseryDefinition,
+    module CommonDefinition,
+  ) where
+
+import Protolude
+import CommonDefinition
+
+data NurseryClass = NotRecommend | Recommend | VeryRecommend | Priority | SpecPriority deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Parents = Usual | Pretentious | GreatPret deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data HasNurs = ProperNurs | LessProperNurs | ImproperNurs | CriticalNurs | VeryCritNurs deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Form    = CompleteFamilyForm | CompletedFamilyForm | IncompleteFamilyForm | FosterFamilyForm deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Children = OneChild | TwoChilds | ThreeChilds | MoreChilds deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Housing = ConvenientHousing | LessConvHousing | CriticalHousing deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Finance = ConvenientFinance | InconvFinance deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Social = NotProblematicSocial | SlightlyProblematicSocial | ProblematicSocial deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
+data Health = NotRecommendHealth |RecommendedHealth | PriorityHealth  deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+
diff --git a/src/GermanData.hs b/lambda/src/LambdaDatasets/GermanData.hs
similarity index 99%
rename from src/GermanData.hs
rename to lambda/src/LambdaDatasets/GermanData.hs
index 7571498..760bc2d 100644
--- a/src/GermanData.hs
+++ b/lambda/src/LambdaDatasets/GermanData.hs
@@ -1,36 +1,13 @@
-{-# LANGUAGE DeriveGeneric #-}
-{-# LANGUAGE MultiParamTypeClasses #-}
-{-# LANGUAGE OverloadedStrings #-}
-{-# LANGUAGE TypeApplications #-}
 {-# LANGUAGE NoImplicitPrelude #-}
 
-module GermanData where
+module LambdaDatasets.GermanData
+  ( module LambdaDatasets.GermanDefinition,
+    module LambdaDatasets.GermanData,
+  )
+where
 
 import Protolude
-
-data GermanClass = Accept | Deny deriving (Eq, Generic, Show, Enum, Bounded)
-
-data AccountStatus = AccountInDebt | NoAccount | LowAccountBalance | HighAccountBalanceOrRegular deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data CreditHistory = HistoryGood | HistoryGoodHere | HistoryGoodSoFar | DelaysInHistory | CreditsExist deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Purpose = OldCar | NewCar | FunitureOrEquipment | Tech | Appliances | Repairs | Education | Retraining | Business | Other deriving (Eq, Generic, Show, Enum, Bounded)
-
-data Savings = UnknownOrNone | SmallSavings | NormalSavings | GoodSavings | GreatSavings deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data EmploymentStatus = NotEmployed | ShortTermEmployed | MediumTermEmployed | LongTermEmployed | VeteranEmployed deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data StatusAndSex = MaleAndSeperated | FemaleAndSeperatedOrMarried | MaleAndSingle | FemaleAndSingle | MaleAndWidowedOrMarried deriving (Eq, Generic, Show, Enum, Bounded)
-
-data OtherDebtors = NoOtherDebtors | CoApplicant | Guarantor deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Property = UnknownOrNoProperty | RealEstate | Savings | CarOrOther deriving (Eq, Generic, Show, Enum, Bounded)
-
-data OtherPlans = PlansAtBank | PlansAtStores | NoOtherPlans deriving (Eq, Generic, Show, Enum, Bounded)
-
-data Housing = Renting | OwningRecidency | ResidingForFree deriving (Eq, Generic, Show, Enum, Bounded)
-
-data Job = UnemployedOrUnskilledNonResident | UnskilledResident | Skilled | HighlySkilled deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+import LambdaDatasets.GermanDefinition
 
 germanTrainingData :: [((AccountStatus, Int, CreditHistory, Purpose, Int, Savings, EmploymentStatus, Int, StatusAndSex, OtherDebtors, Int, Property, Int, OtherPlans, Housing, Int, Job, Int, Bool, Bool), GermanClass)]
 germanTrainingData =
diff --git a/src/GermanDataset.hs b/lambda/src/LambdaDatasets/GermanDataset.hs
similarity index 84%
rename from src/GermanDataset.hs
rename to lambda/src/LambdaDatasets/GermanDataset.hs
index e13e087..23d174f 100644
--- a/src/GermanDataset.hs
+++ b/lambda/src/LambdaDatasets/GermanDataset.hs
@@ -4,10 +4,10 @@
 {-# LANGUAGE TypeApplications #-}
 {-# LANGUAGE NoImplicitPrelude #-}
 
-module GermanDataset
+module LambdaDatasets.GermanDataset
   ( module LambdaCalculus,
-    module GermanDataset,
-    module GermanData,
+    module LambdaDatasets.GermanDataset,
+    module LambdaDatasets.GermanData,
     module GA,
   )
 where
@@ -19,7 +19,7 @@ import Data.Random.Distribution.Uniform
 import qualified Data.Text as T
 import Data.Tuple.Extra
 import GA
-import GermanData
+import LambdaDatasets.GermanData
 import LambdaCalculus
 import qualified Language.Haskell.Interpreter as Hint
 import qualified Language.Haskell.Interpreter.Unsafe as Hint
@@ -29,8 +29,8 @@ import System.Random.MWC (createSystemRandom)
 import qualified Type.Reflection as Ref
 import Utils
 
-germanLE :: LambdaEnviroment
-germanLE =
+lE :: LambdaEnviroment
+lE =
   LambdaEnviroment
     { functions =
         Map.fromList
@@ -90,18 +90,18 @@ germanLE =
       weights =
         ExpressionWeights
           { lambdaSpucker = 1,
-            lambdaSchlucker = 1,
+            lambdaSchlucker = 2,
             symbol = 30,
             variable = 10,
             constant = 5
           }
     }
 
-germanLEE :: LamdaExecutionEnv
-germanLEE =
+lEE :: LamdaExecutionEnv
+lEE =
   LamdaExecutionEnv
     { -- For now these need to define all available functions and types. Generic functions can be used.
-      imports = ["GermanDataset"],
+      imports = ["LambdaDatasets.GermanDefinition"],
       training = True,
       trainingData =
         ( map fst (takeFraktion 0.8 germanTrainingData),
@@ -115,15 +115,15 @@ germanLEE =
       results = Map.empty
     }
 
-shuffledGermanLEE :: IO LamdaExecutionEnv
-shuffledGermanLEE = do
+shuffledLEE :: IO LamdaExecutionEnv
+shuffledLEE = do
   mwc <- liftIO createSystemRandom
   let smpl = ((sampleFrom mwc) :: RVar a -> IO a)
   itD <- smpl $ shuffle germanTrainingData
   return
     LamdaExecutionEnv
       { -- For now these need to define all available functions and types. Generic functions can be used.
-        imports = ["GermanDataset"],
+        imports = ["LambdaDatasets.GermanDefinition"],
         training = True,
         trainingData =
           ( map fst (takeFraktion 0.8 itD),
@@ -177,21 +177,17 @@ dset :: LamdaExecutionEnv -> ([(AccountStatus, Int, CreditHistory, Purpose, Int,
 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
-
-evalResult :: LamdaExecutionEnv -> TypeRequester -> Hint.InterpreterT IO (TypeRequester, FittnesRes)
-evalResult ex tr = do
+evalResults ex trs = do
   Hint.setImports $ (map T.unpack (imports ex)) ++ ["Protolude"]
   Hint.unsafeSetGhcOption "-O2"
-  result <- Hint.interpret (T.unpack (toLambdaExpressionS tr)) (Hint.as :: AccountStatus -> Int -> CreditHistory -> Purpose -> Int -> Savings -> EmploymentStatus -> Int -> StatusAndSex -> OtherDebtors -> Int -> Property -> Int -> OtherPlans -> Housing -> Int -> Job -> Int -> Bool -> Bool -> GermanClass)
-  let res = map (\(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) -> result a b c d e f g h i j k l m n o p q r s t) (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) / fromIntegral (length resAndTarget)
-  let biasSmall = exp ((-(fromIntegral (countTrsR tr))) / 1000) -- 0 (schlecht) bis 1 (gut)
-  let fitness' = meanOfAccuricyPerClass resAndTarget
-  let score = fitness' + (biasSmall - 1)
-  return
-    ( tr,
+  let arrayOfFunctionText = map toLambdaExpressionS trs
+  let textOfFunctionArray = "[" <> T.intercalate "," arrayOfFunctionText <> "]"
+  result <- Hint.interpret (T.unpack (textOfFunctionArray)) (Hint.as :: [AccountStatus -> Int -> CreditHistory -> Purpose -> Int -> Savings -> EmploymentStatus -> Int -> StatusAndSex -> OtherDebtors -> Int -> Property -> Int -> OtherPlans -> Housing -> Int -> Job -> Int -> Bool -> Bool -> GermanClass])
+  return $ zipWith (evalResult ex) trs result
+
+
+evalResult :: LamdaExecutionEnv -> TypeRequester -> (AccountStatus -> Int -> CreditHistory -> Purpose -> Int -> Savings -> EmploymentStatus -> Int -> StatusAndSex -> OtherDebtors -> Int -> Property -> Int -> OtherPlans -> Housing -> Int -> Job -> Int -> Bool -> Bool -> GermanClass) -> (TypeRequester, FittnesRes)
+evalResult ex tr result = ( tr,
       FittnesRes
         { total = score,
           fitnessTotal = fitness',
@@ -202,7 +198,11 @@ evalResult ex tr = do
           totalSize = countTrsR tr
         }
     )
+    where
+    res = map (\(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) -> result a b c d e f g h i j k l m n o p q r s t) (fst (dset ex))
+    resAndTarget = (zip (snd (dset ex)) res)
+    acc = (foldr (\ts s -> if ((fst ts) == (snd ts)) then s + 1 else s) 0 resAndTarget) / fromIntegral (length resAndTarget)
+    biasSmall = exp ((-(fromIntegral (countTrsR tr))) / 1000) -- 0 (schlecht) bis 1 (gut)
+    fitness' = meanOfAccuricyPerClass resAndTarget
+    score = fitness' + (biasSmall - 1)
 
-if' :: Bool -> a -> a -> a
-if' True e _ = e
-if' False _ e = e
diff --git a/src/IrisData.hs b/lambda/src/LambdaDatasets/IrisData.hs
similarity index 96%
rename from src/IrisData.hs
rename to lambda/src/LambdaDatasets/IrisData.hs
index 8ad64e8..5a0f00f 100644
--- a/src/IrisData.hs
+++ b/lambda/src/LambdaDatasets/IrisData.hs
@@ -4,17 +4,15 @@
 {-# LANGUAGE TypeApplications #-}
 {-# LANGUAGE NoImplicitPrelude #-}
 
-module IrisData where
+module LambdaDatasets.IrisData
+  ( module LambdaDatasets.IrisDefinition,
+    module LambdaDatasets.IrisData,
+  )
+where
 
-import Data.Csv
+import LambdaDatasets.IrisDefinition
 import Protolude
 
-data IrisClass = Setosa | Virginica | Versicolor deriving (Eq, Generic, Show, Enum, Bounded)
-
-instance FromRecord IrisClass
-
-instance ToRecord IrisClass
-
 irisTrainingData :: [((Float, Float, Float, Float), IrisClass)]
 irisTrainingData =
   [ ((6.7, 3.1, 4.4, 1.4), Versicolor),
@@ -168,4 +166,3 @@ irisTrainingData =
     ((6.1, 2.6, 5.6, 1.4), Virginica),
     ((6.6, 2.9, 4.6, 1.3), Versicolor)
   ]
-
diff --git a/src/IrisDataset.hs b/lambda/src/LambdaDatasets/IrisDataset.hs
similarity index 80%
rename from src/IrisDataset.hs
rename to lambda/src/LambdaDatasets/IrisDataset.hs
index ba97d4d..160c416 100644
--- a/src/IrisDataset.hs
+++ b/lambda/src/LambdaDatasets/IrisDataset.hs
@@ -4,10 +4,10 @@
 {-# LANGUAGE TypeApplications #-}
 {-# LANGUAGE NoImplicitPrelude #-}
 
-module IrisDataset
+module LambdaDatasets.IrisDataset
   ( module LambdaCalculus,
-    module IrisDataset,
-    module IrisData,
+    module LambdaDatasets.IrisDataset,
+    module LambdaDatasets.IrisData,
     module GA,
   )
 where
@@ -21,7 +21,7 @@ import qualified Data.Text as T
 import Data.Tuple.Extra
 import GA
 import LambdaCalculus
-import IrisData
+import LambdaDatasets.IrisData
 import qualified Language.Haskell.Interpreter as Hint
 import qualified Language.Haskell.Interpreter.Unsafe as Hint
 import Protolude
@@ -29,8 +29,8 @@ import Utils
 import Protolude.Error
 import qualified Type.Reflection as Ref
 
-irisLE :: LambdaEnviroment
-irisLE =
+lE :: LambdaEnviroment
+lE =
   LambdaEnviroment
     { functions =
         Map.fromList
@@ -59,11 +59,11 @@ irisLE =
           }
     }
 
-irisLEE :: LamdaExecutionEnv
-irisLEE =
+lEE :: LamdaExecutionEnv
+lEE =
   LamdaExecutionEnv
     { -- For now these need to define all available functions and types. Generic functions can be used.
-      imports = ["IrisDataset"],
+      imports = ["LambdaDatasets.IrisDataset"],
       training = True,
       trainingData =
         ( map fst (takeFraktion 0.8 irisTrainingData),
@@ -77,14 +77,14 @@ irisLEE =
       results = Map.empty
     }
 
-shuffledIrisLEE :: IO LamdaExecutionEnv
-shuffledIrisLEE = do
+shuffledLEE :: IO LamdaExecutionEnv
+shuffledLEE = do
   mwc <- liftIO createSystemRandom
   let smpl = ((sampleFrom mwc) :: RVar a -> IO a)
   itD <- smpl $ shuffle irisTrainingData
   return  LamdaExecutionEnv
     { -- For now these need to define all available functions and types. Generic functions can be used.
-      imports = ["IrisDataset"],
+      imports = ["LambdaDatasets.IrisDataset"],
       training = True,
       trainingData =
         ( map fst (takeFraktion 0.8 itD),
@@ -138,21 +138,17 @@ 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
-
-evalResult :: LamdaExecutionEnv -> TypeRequester -> Hint.InterpreterT IO (TypeRequester, FittnesRes)
-evalResult ex tr = do
+evalResults ex trs = 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 (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) / fromIntegral (length resAndTarget)
-  let biasSmall = exp ((-(fromIntegral (countTrsR tr)))/1000) -- 0 (schlecht) bis 1 (gut)
-  let fitness' = meanOfAccuricyPerClass resAndTarget
-  let score = fitness' + (biasSmall - 1)
-  return
-    ( tr,
+  let arrayOfFunctionText = map toLambdaExpressionS trs
+  let textOfFunctionArray = "[" <> T.intercalate "," arrayOfFunctionText <> "]"
+  result <- Hint.interpret (T.unpack (textOfFunctionArray)) (Hint.as :: [Float -> Float -> Float -> Float -> IrisClass])
+  return $ zipWith (evalResult ex) trs result
+
+
+evalResult :: LamdaExecutionEnv -> TypeRequester -> (Float -> Float -> Float -> Float -> IrisClass) -> (TypeRequester, FittnesRes)
+evalResult ex tr result = ( tr,
       FittnesRes
         { total = score,
           fitnessTotal = fitness',
@@ -163,8 +159,10 @@ evalResult ex tr = do
           totalSize = countTrsR tr
         }
     )
-
-if' :: Bool -> a -> a -> a
-if' True e _ = e
-if' False _ e = e
-
+    where
+    res = map (\(a, b, c, d) -> result a b c d) (fst (dset ex))
+    resAndTarget = (zip (snd (dset ex)) res)
+    acc = (foldr (\ts s -> if ((fst ts) == (snd ts)) then s + 1 else s) 0 resAndTarget) / fromIntegral (length resAndTarget)
+    biasSmall = exp ((-(fromIntegral (countTrsR tr))) / 1000) -- 0 (schlecht) bis 1 (gut)
+    fitness' = meanOfAccuricyPerClass resAndTarget
+    score = fitness' + (biasSmall - 1)
diff --git a/src/NurseryData.hs b/lambda/src/LambdaDatasets/NurseryData.hs
similarity index 99%
rename from src/NurseryData.hs
rename to lambda/src/LambdaDatasets/NurseryData.hs
index 4532aa6..9569a06 100644
--- a/src/NurseryData.hs
+++ b/lambda/src/LambdaDatasets/NurseryData.hs
@@ -4,27 +4,14 @@
 {-# LANGUAGE TypeApplications #-}
 {-# LANGUAGE NoImplicitPrelude #-}
 
-module NurseryData where
+module LambdaDatasets.NurseryData
+  ( module LambdaDatasets.NurseryDefinition,
+    module LambdaDatasets.NurseryData,
+  )
+where
 
 import Protolude
-
-data NurseryClass = NotRecommend | Recommend | VeryRecommend | Priority | SpecPriority deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Parents = Usual | Pretentious | GreatPret deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data HasNurs = ProperNurs | LessProperNurs | ImproperNurs | CriticalNurs | VeryCritNurs deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Form    = CompleteFamilyForm | CompletedFamilyForm | IncompleteFamilyForm | FosterFamilyForm deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Children = OneChild | TwoChilds | ThreeChilds | MoreChilds deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Housing = ConvenientHousing | LessConvHousing | CriticalHousing deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Finance = ConvenientFinance | InconvFinance deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Social = NotProblematicSocial | SlightlyProblematicSocial | ProblematicSocial deriving (Eq, Generic, Show, Enum, Bounded, Ord)
-
-data Health = NotRecommendHealth |RecommendedHealth | PriorityHealth  deriving (Eq, Generic, Show, Enum, Bounded, Ord)
+import LambdaDatasets.NurseryDefinition
 
 nurseryTrainingData :: [((Parents, HasNurs, Form, Children, Housing, Finance, Social, Health), NurseryClass)]
 nurseryTrainingData =
diff --git a/src/NurseryDataset.hs b/lambda/src/LambdaDatasets/NurseryDataset.hs
similarity index 89%
rename from src/NurseryDataset.hs
rename to lambda/src/LambdaDatasets/NurseryDataset.hs
index f9ea26f..4ddbe77 100644
--- a/src/NurseryDataset.hs
+++ b/lambda/src/LambdaDatasets/NurseryDataset.hs
@@ -4,10 +4,10 @@
 {-# LANGUAGE TypeApplications #-}
 {-# LANGUAGE NoImplicitPrelude #-}
 
-module NurseryDataset
+module LambdaDatasets.NurseryDataset
   ( module LambdaCalculus,
-    module NurseryDataset,
-    module NurseryData,
+    module LambdaDatasets.NurseryDataset,
+    module LambdaDatasets.NurseryData,
     module GA,
   )
 where
@@ -19,7 +19,7 @@ import Data.Random.Distribution.Uniform
 import qualified Data.Text as T
 import Data.Tuple.Extra
 import GA
-import NurseryData
+import LambdaDatasets.NurseryData
 import LambdaCalculus
 import qualified Language.Haskell.Interpreter as Hint
 import qualified Language.Haskell.Interpreter.Unsafe as Hint
@@ -29,8 +29,8 @@ import System.Random.MWC (createSystemRandom)
 import qualified Type.Reflection as Ref
 import Utils
 
-nurseryLE :: LambdaEnviroment
-nurseryLE =
+lE :: LambdaEnviroment
+lE =
   LambdaEnviroment
     { functions =
         Map.fromList
@@ -74,52 +74,55 @@ nurseryLE =
             ((Ref.SomeTypeRep (Ref.TypeRep @(Health))), [(fmap show (enumUniform NotRecommendHealth PriorityHealth ))])
           ],
       targetType = (Ref.SomeTypeRep (Ref.TypeRep @(Parents -> HasNurs -> Form -> Children -> Housing -> Finance -> Social -> Health -> NurseryClass))),
-      maxDepth = 7,
+      maxDepth = 8,
       weights =
         ExpressionWeights
-          { lambdaSpucker = 2,
-            lambdaSchlucker = 1,
+          { lambdaSpucker = 1,
+            lambdaSchlucker = 2,
             symbol = 30,
             variable = 20,
             constant = 5
           }
     }
 
-nurseryLEE :: LamdaExecutionEnv
-nurseryLEE =
+trainingFraction :: R
+trainingFraction = (2/3)
+
+lEE :: LamdaExecutionEnv
+lEE =
   LamdaExecutionEnv
     { -- For now these need to define all available functions and types. Generic functions can be used.
-      imports = ["NurseryDataset"],
+      imports = ["LambdaDatasets.NurseryDefinition"],
       training = True,
       trainingData =
-        ( map fst (takeFraktion (2/3) nurseryTrainingData),
-          map snd (takeFraktion (2/3) nurseryTrainingData)
+        ( map fst (takeFraktion trainingFraction nurseryTrainingData),
+          map snd (takeFraktion trainingFraction nurseryTrainingData)
         ),
       testData =
-        ( map fst (dropFraktion (2/3) nurseryTrainingData),
-          map snd (dropFraktion (2/3) nurseryTrainingData)
+        ( map fst (dropFraktion trainingFraction nurseryTrainingData),
+          map snd (dropFraktion trainingFraction nurseryTrainingData)
         ),
       exTargetType = (Ref.SomeTypeRep (Ref.TypeRep @(Parents -> HasNurs -> Form -> Children -> Housing -> Finance -> Social -> Health -> NurseryClass))),
       results = Map.empty
     }
 
-shuffledNurseryLEE :: IO LamdaExecutionEnv
-shuffledNurseryLEE = do
+shuffledLEE :: IO LamdaExecutionEnv
+shuffledLEE = do
   mwc <- liftIO createSystemRandom
   let smpl = ((sampleFrom mwc) :: RVar a -> IO a)
   itD <- smpl $ shuffle nurseryTrainingData
   return
     LamdaExecutionEnv
       { -- For now these need to define all available functions and types. Generic functions can be used.
-        imports = ["NurseryDataset"],
+        imports = ["LambdaDatasets.NurseryDefinition"],
         training = True,
         trainingData =
-          ( map fst (takeFraktion (2/3) itD),
-            map snd (takeFraktion (2/3) itD)
+          ( map fst (takeFraktion trainingFraction itD),
+            map snd (takeFraktion trainingFraction itD)
           ),
         testData =
-          ( map fst (dropFraktion (2/3) itD),
-            map snd (dropFraktion (2/3) itD)
+          ( map fst (dropFraktion trainingFraction itD),
+            map snd (dropFraktion trainingFraction itD)
           ),
         exTargetType = (Ref.SomeTypeRep (Ref.TypeRep @(Parents -> HasNurs -> Form -> Children -> Housing -> Finance -> Social -> Health -> NurseryClass))),
         results = Map.empty
@@ -194,7 +197,3 @@ evalResult ex tr result = ( tr,
     fitness' = meanOfAccuricyPerClass resAndTarget
     score = fitness' + (biasSmall - 1)
 
-
-if' :: Bool -> a -> a -> a
-if' True e _ = e
-if' False _ e = e
diff --git a/src/Main.hs b/lambda/src/Main.hs
similarity index 69%
rename from src/Main.hs
rename to lambda/src/Main.hs
index 38e1cef..c78346e 100644
--- a/src/Main.hs
+++ b/lambda/src/Main.hs
@@ -7,9 +7,9 @@ import Pipes
 import Pretty
 import Protolude hiding (for)
 import System.IO
--- import Szenario212Pun
--- import Szenario191
-import NurseryDataset
+-- import LambdaDatasets.IrisDataset
+-- import LambdaDatasets.NurseryDataset
+import LambdaDatasets.GermanDataset
 import Debug.Trace as DB
 import qualified Data.Map.Strict as Map
 
@@ -26,7 +26,7 @@ options =
       ( long "iterations"
           <> short 'i'
           <> metavar "N"
-          <> value 5000
+          <> value 1500
           <> help "Number of iterations"
       )
     <*> option
@@ -51,19 +51,19 @@ main :: IO ()
 main =
   execParser optionsWithHelp >>= \opts -> do
     hSetBuffering stdout NoBuffering
-    nurseryLEE <- shuffledNurseryLEE
-    let env = nurseryLE
+    lEE <- shuffledLEE
+    let env = lE
     let selType = Tournament 3
-    let run' = run nurseryLEE env selType 120 (5 / 100) (populationSize opts) (steps (iterations opts))
+    let run' = run lEE env selType 120 (5 / 100) (populationSize opts) (steps (iterations opts))
     pop' <- runEffect (for run' logCsv)
-    nurseryLEE' <- calc nurseryLEE  pop'
-    let (res, _) = bests nurseryLEE' 5 pop'
-    let nurseryLEE' = nurseryLEE {training = False}
-    nurseryLEE' <- calc nurseryLEE' res
-    mapM_ (format nurseryLEE') res
+    lEE' <- calc lEE  pop'
+    let (res, _) = bests lEE' 5 pop'
+    let lEE' = lEE {training = False}
+    lEE' <- calc lEE' res
+    mapM_ (format lEE') res
   where
-    format nurseryL s = do
-      let f = fitness' nurseryL s
+    format l s = do
+      let f = fitness' l s
       putErrText $ show f <> "\n" <> pretty s
     logCsv = putText . csv
     csv (t, f) = show t <> " " <> show f
diff --git a/src/GA.hs b/lib/GA.hs
similarity index 96%
rename from src/GA.hs
rename to lib/GA.hs
index 6780fb9..9c422c3 100644
--- a/src/GA.hs
+++ b/lib/GA.hs
@@ -93,9 +93,15 @@ class (Individual i, Fitness r) => Evaluator i e r | i -> e r where
   fitness :: e -> i -> R
   fitness env i = getR ( fitness' env i)
 
+  -- |
+  --  An more complete fitness object, used to include more info to the output of the current fitness.
+  --  You can e.g. track individual size with this.
   fitness' :: e -> i -> r
 
-  -- TODO kinda hacky?!?
+  -- |
+  -- here, fitness values for the next generation can be calculated at once, and just once, using any monadic action, if necessary.
+  -- It is guaranteed that the e passed to fitness is the result of a calc function, where the individual was part of the Population passed.
+  -- It may be smart to reuse known results between invocations.
   calc :: e -> Population i -> IO e
   calc eval _ = do
     return eval
diff --git a/src/LambdaCalculus.hs b/lib/LambdaCalculus.hs
similarity index 100%
rename from src/LambdaCalculus.hs
rename to lib/LambdaCalculus.hs
diff --git a/src/Pretty.hs b/lib/Pretty.hs
similarity index 100%
rename from src/Pretty.hs
rename to lib/Pretty.hs
diff --git a/lib/Test.hs b/lib/Test.hs
new file mode 100644
index 0000000..cf20809
--- /dev/null
+++ b/lib/Test.hs
@@ -0,0 +1,21 @@
+{-# LANGUAGE GADTs #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE ScopedTypeVariables #-}
+{-# LANGUAGE Trustworthy #-}
+{-# LANGUAGE TypeApplications #-}
+{-# LANGUAGE NoImplicitPrelude #-}
+
+module Main where
+
+import qualified GA
+import Protolude
+
+main :: IO ()
+main = do
+  _ <- GA.runTests
+  return ()
+
+if' :: Bool -> a -> a -> a
+if' True x _ = x
+if' False _ y = y
diff --git a/src/Utils.hs b/lib/Utils.hs
similarity index 76%
rename from src/Utils.hs
rename to lib/Utils.hs
index 3f6bb50..1c36e95 100644
--- a/src/Utils.hs
+++ b/lib/Utils.hs
@@ -23,14 +23,18 @@ geomeanOfDistributionAccuracy results = geomean $ map (distributionAccuracyForCl
 distributionAccuracyForClass :: (Eq r) => [(r, r)] -> r -> R
 distributionAccuracyForClass results clas = (1 - (min 1 (fromIntegral (abs ((length (inResClass results clas)) - (length (inClass results clas)))) / fromIntegral (length (inClass results clas))))) * 100
 
-mean :: (Show f, Floating f) => [f] -> f
-mean values = (sum values) * (1 / (fromIntegral (length values)))
+mean :: (Show f, RealFloat f) => [f] -> f
+mean values = (sum filteredValues) * (1 / (fromIntegral (length filteredValues)))
+  where
+    filteredValues = filter (not . isNaN) values
 
-geomean :: (Show f, Floating f) => [f] -> f
-geomean values = (product values) ** (1 / (fromIntegral (length values)))
+geomean :: (Show f, RealFloat f) => [f] -> f
+geomean values = (product filteredValues) ** (1 / (fromIntegral (length filteredValues)))
+  where
+    filteredValues = filter (not . isNaN) values
 
 accuracyInClass :: (Eq r) => [(r, r)] -> r -> R
-accuracyInClass results clas = if fromIntegral (length (inClass results clas)) == 0 then 100 else ((accuracy' (inResClass results clas)) * 100) / fromIntegral (length (inClass results clas))
+accuracyInClass results clas = ((accuracy' (inResClass results clas)) * 100) / fromIntegral (length (inClass results clas))
 
 inClass :: (Eq r) => [(r, r)] -> r -> [(r, r)]
 inClass results clas = (filter ((clas ==) . fst) results)
@@ -46,11 +50,11 @@ repeatedly f x = case f x of
   Nothing -> []
   Just y -> y : repeatedly f y
 
-contains :: (Eq a, Foldable t ) => t a -> a -> Bool
+contains :: (Eq a, Foldable t) => t a -> a -> Bool
 contains list val = any (== val) list
 
 count :: (Eq a) => [a] -> a -> Int
-count [] find = 0
+count [] _ = 0
 count ys find = length xs
   where
     xs = [xs | xs <- ys, xs == find]
diff --git a/run.sbatch b/run.sbatch
index 1833c89..50fe9db 100755
--- a/run.sbatch
+++ b/run.sbatch
@@ -6,4 +6,4 @@
 #SBATCH --error=./output/error_run_%j.txt
 #SBATCH --nodelist=oc-compute02
 #SBATCH --mem=3G
-srun nix develop --command stack --no-nix --system-ghc --no-install-ghc run haga
+srun nix develop --command stack --no-nix --system-ghc --no-install-ghc run haga-lambda
diff --git a/src-students/Main.hs b/src-students/Main.hs
new file mode 100644
index 0000000..387ab5f
--- /dev/null
+++ b/src-students/Main.hs
@@ -0,0 +1,65 @@
+{-# LANGUAGE FlexibleContexts #-}
+{-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE NoImplicitPrelude #-}
+
+import Options.Applicative
+import Pipes
+import Pretty
+import Protolude hiding (for)
+import System.IO
+import Seminar
+import Szenario191
+
+data Options = Options
+  { iterations :: !N,
+    populationSize :: !N
+  }
+
+options :: Parser Options
+options =
+  Options
+    <$> option
+      auto
+      ( long "iterations"
+          <> short 'i'
+          <> metavar "N"
+          <> value 1500
+          <> help "Number of iterations"
+      )
+    <*> option
+      auto
+      ( long "population-size"
+          <> short 'p'
+          <> metavar "N"
+          <> value 400
+          <> help "Population size"
+      )
+
+optionsWithHelp :: ParserInfo Options
+optionsWithHelp =
+  info
+    (helper <*> options)
+    ( fullDesc
+        <> progDesc "Run a GA"
+        <> header "haga - Haskell implementations of EAs"
+    )
+
+main :: IO ()
+main =
+  execParser optionsWithHelp >>= \opts -> do
+    hSetBuffering stdout NoBuffering
+    let seminarEE = prios
+    let env = AssignmentEnviroment (students seminarEE, topics seminarEE)
+    let selType = Tournament 3
+    let run' = run seminarEE env selType 120 (5 / 100) (populationSize opts) (steps (iterations opts))
+    pop' <- runEffect (for run' logCsv)
+    seminarEE' <- calc seminarEE  pop'
+    let (res, _) = bests seminarEE' 5 pop'
+    seminarEE' <- calc seminarEE' res
+    mapM_ (format seminarEE') res
+  where
+    format seminarL s = do
+      let f = fitness' seminarL s
+      putErrText $ show f <> "\n" <> pretty s
+    logCsv = putText . csv
+    csv (t, f) = show t <> " " <> show f
diff --git a/src/Seminar.hs b/src-students/Seminar.hs
similarity index 98%
rename from src/Seminar.hs
rename to src-students/Seminar.hs
index 643c95a..a7c56e6 100644
--- a/src/Seminar.hs
+++ b/src-students/Seminar.hs
@@ -127,8 +127,6 @@ instance Environment Assignment AssignmentEnviroment where
   --  Borrowed from TSP: Crossover cuts the parents in two and swaps them (if this
   --  does not create an invalid offspring).
   --
-  --  TODO Assumes that both individuals are based on the same priorities.
-  --
   crossover1 e assignment1 assignment2 = do
     let l = fromIntegral $ min (length assignment1) (length assignment2) :: Double
     x <- uniform 0 l
diff --git a/src/Szenario191.hs b/src-students/Szenario191.hs
similarity index 100%
rename from src/Szenario191.hs
rename to src-students/Szenario191.hs
diff --git a/src-students/Test.hs b/src-students/Test.hs
new file mode 100644
index 0000000..94d2431
--- /dev/null
+++ b/src-students/Test.hs
@@ -0,0 +1,21 @@
+{-# LANGUAGE GADTs #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE ScopedTypeVariables #-}
+{-# LANGUAGE Trustworthy #-}
+{-# LANGUAGE TypeApplications #-}
+{-# LANGUAGE NoImplicitPrelude #-}
+
+module Main where
+
+import Protolude
+import qualified Seminar
+
+main :: IO ()
+main = do
+  _ <- Seminar.runTests
+  return ()
+
+if' :: Bool -> a -> a -> a
+if' True x _ = x
+if' False _ y = y
diff --git a/src/IrisData.hs.template b/src/IrisData.hs.template
deleted file mode 100644
index e5db1c4..0000000
--- a/src/IrisData.hs.template
+++ /dev/null
@@ -1,177 +0,0 @@
-{-# 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 =
-    [
-
-    ]
diff --git a/src/Test.hs b/src/Test.hs
deleted file mode 100644
index 0f21e57..0000000
--- a/src/Test.hs
+++ /dev/null
@@ -1,39 +0,0 @@
-{-# LANGUAGE GADTs #-}
-{-# LANGUAGE MultiParamTypeClasses #-}
-{-# LANGUAGE OverloadedStrings #-}
-{-# LANGUAGE ScopedTypeVariables #-}
-{-# LANGUAGE Trustworthy #-}
-{-# LANGUAGE TypeApplications #-}
-{-# LANGUAGE NoImplicitPrelude #-}
-
-module Main where
-
-import Data.Random
-import Data.Typeable
-import qualified GA
-import qualified LambdaCalculus
-import Protolude
-import qualified Seminar
-import System.Random.MWC (createSystemRandom)
-import qualified Type.Reflection as Ref
-
-main :: IO ()
-main = do
-  -- _ <- GA.runTests
-  -- _ <- Seminar.runTests
-  -- _ <- putStrLn $ ((show (typeRepArgs (Ref.SomeTypeRep (Ref.TypeRep @(Int -> Int -> Int -> Text))))) :: Text)
-  -- _ <- putStrLn $ ((show (typeRepArgs (Ref.SomeTypeRep (Ref.TypeRep @(Text))))) :: Text)
-  mwc <- createSystemRandom
-  r <- sampleFrom mwc $ GA.new LambdaCalculus.exampleLE
-  _ <- putStrLn $ LambdaCalculus.toLambdaExpressionS $ r
-  r <- sampleFrom mwc $ GA.new LambdaCalculus.exampleLE
-  _ <- putStrLn $ LambdaCalculus.toLambdaExpressionS $ r
-  -- _ <- putStrLn (LambdaCalculus.toLambdaExpressionShort LambdaCalculus.testIntToClassCorrect)
-  -- _ <- putStrLn $ ((show (LambdaCalculus.res 1)) :: Text)
-  -- _ <- putStrLn $ ((show (LambdaCalculus.res 2)) :: Text)
-  -- _ <- putStrLn $ ((show (LambdaCalculus.res 3)) :: Text)
-  return ()
-
-if' :: Bool -> a -> a -> a
-if' True x _ = x
-if' False _ y = y