{-# LANGUAGE DataKinds
           , GADTs
           , TypeOperators
           , NoImplicitPrelude
           , FlexibleContexts
           , OverloadedStrings
           #-}

module Tests.Disintegrate where

import           Prelude (($), (.), (++), head, String, Maybe(..))
import qualified Prelude
import qualified Data.List.NonEmpty  as L    

import Language.Hakaru.Syntax.ABT
import Language.Hakaru.Syntax.AST
import Language.Hakaru.Syntax.Datum
import Language.Hakaru.Syntax.Prelude
import Language.Hakaru.Syntax.IClasses (Some2(..), TypeEq(..), jmEq1)
import Language.Hakaru.Types.DataKind
import Language.Hakaru.Types.Sing
import Language.Hakaru.Pretty.Concrete
import Language.Hakaru.Syntax.TypeCheck
import Language.Hakaru.Evaluation.Types               (fromWhnf)
import Language.Hakaru.Evaluation.DisintegrationMonad (runDis)
import Language.Hakaru.Disintegrate

import Test.HUnit
import Tests.TestTools
import Tests.Models hiding (easyRoad)

----------------------------------------------------------------
type Model a b = TrivialABT Term '[] ('HMeasure (HPair a b))
type Cond  a b = TrivialABT Term '[] (a ':-> 'HMeasure b)
----------------------------------------------------------------

-- | A very simple program. Is sufficient for testing escape and
-- capture of substitution.
norm0a :: Model 'HReal 'HReal
norm0a =
    normal (real_ 0) (prob_ 1) >>= \x ->
    normal x         (prob_ 1) >>= \y ->
    dirac (pair y x)

-- | A version of 'norm0' which adds a type annotation at the
-- top-level; useful for testing that using 'Ann_' doesn't cause
-- perform\/disintegrate to loop.
norm0b :: Model 'HReal 'HReal
norm0b = ann_ sing norm0a

-- | A version of 'norm0' which inserts an annotation around the
-- 'Datum' constructor itself. The goal here is to circumvent the
-- @typeOf_{Datum_}@ issue without needing to change the 'Datum'
-- type nor the 'typeOf' definition.
norm0c :: Model 'HReal 'HReal
norm0c =
    normal (real_ 0) (prob_ 1) >>= \x ->
    normal x         (prob_ 1) >>= \y ->
    dirac (ann_ sing $ pair y x)

-- | What we expect 'norm0a' (and variants) to disintegrate to.
norm0' :: Cond 'HReal 'HReal
norm0' =
    lam $ \y ->
    normal (real_ 0) (prob_ 1) >>= \x ->
    weight (densityNormal x (prob_ 1) y) >>
    dirac x

{-
-- Eliminating some redexes of 'norm0'', that is:
    lam $ \y ->
    normal (real_ 0) (prob_ 1) >>= \x ->
    withWeight
        (exp ((x - y) ^ nat_ 2 / real_ 2)
        / (nat_ 2 `thRootOf` (prob_ 2 * pi)))
    $ dirac x

-- N.B., calling 'evaluate' on 'norm0'' doesn't catch those redexes because they're not on the way to computing stuff. need to call 'constantPropagation' to get rid of them.
-}


testPerform0a, testPerform0b, testPerform0c
    :: [Model 'HReal 'HReal]
testPerform0a = runPerform norm0a
testPerform0b = runPerform norm0b
testPerform0c = runPerform norm0c

testDisintegrate0a, testDisintegrate0b, testDisintegrate0c
    :: [Cond 'HReal 'HReal]
testDisintegrate0a = disintegrate norm0a
testDisintegrate0b = disintegrate norm0b
testDisintegrate0c = disintegrate norm0c

-- | The goal of this test is to be sure we maintain proper hygiene
-- for the weight component when disintegrating superpose. Moreover,
-- in earlier versions it used to throw VarEqTypeError due to
-- 'disintegrate' not choosing a sufficiently fresh variable name
-- for its lambda; thus this also serves as a regression test to
-- make sure we don't run into that problem again.
testHygiene0b :: [Cond 'HReal 'HReal]
testHygiene0b =
    disintegrate $
        let_ (prob_ 1) $ \x ->
        withWeight x norm0b

----------------------------------------------------------------
-- | This simple progam is to check for disintegrating case analysis
-- when the scrutinee contains a heap-bound variable.
norm1a :: Model 'HReal HUnit
norm1a =
    normal (real_ 3) (prob_ 2) >>= \x ->
    dirac $ if_ (x < real_ 0)
        (ann_ sing $ pair (negate x) unit)
        (ann_ sing $ pair         x  unit)

norm1b :: Model HReal HUnit
norm1b =
    normal (real_ 3) (prob_ 2) >>= \x ->
    if_ (x < real_ 0)
        (ann_ sing . dirac $ pair (negate x) unit)
        (ann_ sing . dirac $ pair         x  unit)

norm1c :: Model 'HReal HUnit
norm1c =
    normal (real_ 3) (prob_ 2) >>= \x ->
    if_ (x < real_ 0)
        (dirac . ann_ sing $ pair (negate x) unit)
        (dirac . ann_ sing $ pair         x  unit)

norm1' :: Cond 'HReal HUnit
norm1' =
    lam $ \t -> superpose $
     L.fromList 
      [ (one,
         weight (densityNormal (real_ 3) (prob_ 2) (negate t)) >>= \_ ->
         let_ (negate t) $ \x ->
         case_ (x < zero) [branch pTrue (dirac unit)])
      , (one,
         weight (densityNormal (real_ 3) (prob_ 2) t) >>= \_ ->
         case_ (t < zero) [branch pFalse (dirac unit)]) ]

-- BUG: the first solutions returned by 'testPerform1b' and 'testPerform1c' break hygiene! They drops the variable bound by 'normal' and has all the uses of @x@ become free.
testPerform1a, testPerform1b, testPerform1c
    :: [Model 'HReal HUnit]
testPerform1a = runPerform norm1a
testPerform1b = runPerform norm1b
testPerform1c = runPerform norm1c

testDisintegrate1a, testDisintegrate1b, testDisintegrate1c
    :: [Cond 'HReal HUnit]
testDisintegrate1a = disintegrate norm1a
testDisintegrate1b = disintegrate norm1b
testDisintegrate1c = disintegrate norm1c


----------------------------------------------------------------
norm2 :: Model 'HReal 'HReal
norm2 =
    normal (real_ 3) (prob_ 2) >>= \x ->
    normal (real_ 5) (prob_ 4) >>= \y ->
    dirac $ if_ (x < y)
        (pair y x)
        (pair x x)

norm2' :: Cond 'HReal 'HReal
norm2' =
    lam $ \t -> superpose $
     L.fromList
      [ (one,
         normal (real_ 3) (prob_ 2) >>= \x ->
         weight (densityNormal (real_ 5) (prob_ 4) t) >>= \_ ->
         case_ (x < t) [branch pTrue (dirac x)])
      , (one,
         weight (densityNormal (real_ 3) (prob_ 2) t) >>= \_ ->
         normal (real_ 5) (prob_ 4) >>= \y ->
         case_ (t < y) [branch pFalse (dirac t)]) ]   

testPerform2
    :: [Model 'HReal 'HReal]
testPerform2 = runPerform norm2

testDisintegrate2
    :: [Cond 'HReal 'HReal]
testDisintegrate2 = disintegrate norm2

----------------------------------------------------------------

normSquare :: Model 'HProb 'HReal
normSquare =
    normal (real_ 0) (prob_ 1) >>= \x ->
    dirac (pair (square x) x)

normSquare' :: Cond 'HProb 'HReal
normSquare' =
    lam $ \t ->
    weight (recip (nat2prob (nat_ 2) * sqrt t)) >>= \_ ->
    weight (densityNormal (real_ 0) (prob_ 1) (fromProb (sqrt t))) >>= \_ ->
    dirac (fromProb (sqrt t)) >>= \x ->
    dirac x
          
----------------------------------------------------------------

normDirac :: Model 'HReal 'HReal
normDirac =
    normal (real_ 0) (prob_ 1) >>= \x ->
    dirac x >>= \y ->
    dirac (pair y x)

normDirac' :: Cond 'HReal 'HReal
normDirac' =
    lam $ \t ->
    weight (densityNormal (real_ 0) (prob_ 1) t) >>= \_ ->
    dirac t >>= \x ->
    dirac x

----------------------------------------------------------------

pendulum :: Model 'HReal 'HReal
pendulum =
    normal (real_ 42) (prob_ 1) >>= \theta ->
    dirac (sin theta) >>= \x ->
    normal (real_ 0) (prob_ 1) >>= \noise ->
    dirac (pair (x + noise) theta)

pendulum' :: Cond 'HReal 'HReal
pendulum' =
    lam $ \t ->
    normal (real_ 42) (prob_ 1) >>= \theta ->
    weight (densityNormal (real_ 0) (prob_ 1) (t - sin theta)) >>= \_ ->
    dirac theta
          
----------------------------------------------------------------
easyRoad :: Model (HPair 'HReal 'HReal) (HPair 'HProb 'HProb)
easyRoad =
    uniform (real_ 3) (real_ 8) >>= \noiseT_ ->
    uniform (real_ 1) (real_ 4) >>= \noiseE_ ->
    let_ (unsafeProb noiseT_) $ \noiseT ->
    let_ (unsafeProb noiseE_) $ \noiseE ->
    normal (real_ 0) noiseT >>= \x1 ->
    normal x1 noiseE >>= \m1 ->
    normal x1 noiseT >>= \x2 ->
    normal x2 noiseE >>= \m2 ->
    dirac (pair (pair m1 m2) (pair noiseT noiseE))

easyRoad' :: Cond (HPair 'HReal 'HReal) (HPair 'HProb 'HProb)
easyRoad' =
    lam $ \t ->
    unpair t (\t1 t2 ->
              uniform (real_ 3) (real_ 8) >>= \noiseT_ ->
              uniform (real_ 1) (real_ 4) >>= \noiseE_ ->
              let_ (unsafeProb noiseT_) $ \noiseT ->
              let_ (unsafeProb noiseE_) $ \noiseE ->
              normal (real_ 0) noiseT >>= \x1 ->
              weight (densityNormal x1 noiseE t1) >>= \_ ->
              normal x1 noiseT >>= \x2 ->
              weight (densityNormal x2 noiseE t2) >>
              dirac (pair noiseT noiseE))
                                     
testPerformEasyRoad
    :: [Model (HPair 'HReal 'HReal) (HPair 'HProb 'HProb)]
testPerformEasyRoad = runPerform easyRoad


testDisintegrateEasyRoad
    :: [Cond (HPair 'HReal 'HReal) (HPair 'HProb 'HProb)]
testDisintegrateEasyRoad = disintegrate easyRoad

----------------------------------------------------------------
helloWorld100
    :: Model ('HArray 'HReal) 'HReal
helloWorld100 =
    normal (real_ 0) (prob_ 1) >>= \mu ->
    plate (nat_ 100) (\_ -> normal mu (prob_ 1)) >>= \v ->
    dirac (pair v mu)

helloWorld100'
    :: Cond ('HArray 'HReal) 'HReal
helloWorld100' =
    lam $ \t ->
    normal (real_ 0) (prob_ 1) >>= \mu ->
    plate (nat_ 100)
          (\i -> weight (densityNormal mu (prob_ 1) (t ! i))) >>
    dirac mu

testHelloWorld100
    :: [Cond ('HArray 'HReal) 'HReal]
testHelloWorld100 = disintegrate helloWorld100

----------------------------------------------------------------
copy1 :: Model ('HArray 'HReal) HUnit
copy1 =
    plate n (\_ -> normal (real_ 0) (prob_ 1)) >>= \u ->
    dirac (array n (\i -> u ! i)) >>= \v ->
    dirac (pair v unit)
    where n = nat_ 100

copy1' :: Cond ('HArray 'HReal) HUnit
copy1' =
    lam $ \t ->        
    plate (nat_ 100)
          (\i -> weight (densityNormal (real_ 0) (prob_ 1) (t ! i))) >>
    dirac unit

testCopy1 :: [Cond ('HArray 'HReal) HUnit]
testCopy1 = disintegrate copy1

----------------------------------------------------------------
copy2 :: Model ('HArray 'HReal) HUnit
copy2 =
    plate n (\_ -> normal (real_ 0) (prob_ 1)) >>= \u ->
    plate n (\j -> dirac (u ! j)) >>= \v ->
    dirac (pair v unit)
    where n = nat_ 100

testCopy2 :: [Cond ('HArray 'HReal) HUnit]
testCopy2 = disintegrate copy2


----------------------------------------------------------------
naiveBayes
    :: Model ('HArray ('HArray 'HNat)) ('HArray 'HNat)
naiveBayes =
    plate numLabels (\_ -> dirichlet (array sizeVocab (\_ -> prob_ 1))) >>= \bs ->
    dirichlet (array numLabels (\_ -> prob_ 1)) >>= \ts ->
    plate numDocs (\_ -> categorical ts) >>= \zs ->
    plate numDocs (\i -> plate sizeEachDoc
                               (\_ -> categorical (bs ! (zs ! i)))) >>= \ds ->
    dirac (pair ds zs)
    where sizeVocab   = nat_ 1000
          numLabels   = nat_ 40
          numDocs     = nat_ 200
          sizeEachDoc = nat_ 5000

naiveBayes'
    :: Cond ('HArray ('HArray 'HNat)) ('HArray 'HNat)
naiveBayes' =
    lam $ \t ->
    Prelude.error "TODO define naiveBayes'"

testNaiveBayes
    :: [Cond ('HArray ('HArray 'HNat)) ('HArray 'HNat)]
testNaiveBayes = disintegrate naiveBayes
          
----------------------------------------------------------------
-- | R2 benchmarks
-- Based on examples from the R2 probabilistic programming tool
-- Found in r2-0.0.1/examples/ when downloaded from:
-- https://www.microsoft.com/en-us/download/details.aspx?id=52372

clinicalTrial
    :: Model (HPair ('HArray HBool) ('HArray HBool)) HBool
clinicalTrial = 
    bern (prob_ 0.5) >>= \isEffective ->
    beta (prob_ 1) (prob_ 1) >>= \probControl ->
    beta (prob_ 1) (prob_ 1) >>= \probTreated ->
    beta (prob_ 1) (prob_ 1) >>= \probAll ->
    if_ isEffective
        (liftM2 pair (plate n (\_ -> bern probControl))
                     (plate m (\_ -> bern probTreated)))
        (liftM2 pair (plate n (\_ -> bern probAll))
                     (plate m (\_ -> bern probAll))) >>= \groups ->
    dirac (pair groups isEffective)
    where (n,m) = (nat_ 1000, nat_ 1000)

coinBias :: Model ('HArray HBool) 'HProb
coinBias = beta (prob_ 2) (prob_ 5) >>= \bias ->
           plate (nat_ 5) (\_ -> bern bias) >>= \tossResults ->
           dirac (pair tossResults bias)

digitRecognition :: Model ('HArray HBool) 'HNat
digitRecognition =
    categorical dataPrior >>= \y ->
    plate n (\i -> bern $ (dataParams ! y) ! i) >>= \x ->
    dirac (pair x y)
    where n          = nat_ 784
          dataPrior  = var (Variable "dataPrior"  73 (SArray SProb))
          dataParams = var (Variable "dataParams" 41 (SArray (SArray SProb)))

hiv :: Model ('HArray 'HReal)
             (HPair (HPair ('HArray 'HReal) ('HArray 'HReal))
                    ('HArray 'HReal))
hiv = normal (real_ 0) (prob_ 1) >>= \muA1 ->
      normal (real_ 0) (prob_ 1) >>= \muA2 ->
      uniform (real_ 0) (real_ 100) >>= \sigmaA1 ->
      uniform (real_ 0) (real_ 100) >>= \sigmaA2 ->
      plate (nat_ 84) (\_ -> normal muA1       (unsafeProb sigmaA1)) >>= \a1 ->
      plate (nat_ 84) (\_ -> normal ((real_ 0.1)*muA2) (unsafeProb sigmaA2)) >>= \a2 ->
      dirac (array n (\i -> a1 ! (unsafeMinusNat (dataPerson ! i) (nat_ 1)) +
                            a2 ! (unsafeMinusNat (dataPerson ! i) (nat_ 1)) *
                            dataTime ! i)) >>= \yHat ->
      uniform (real_ 0) (real_ 100) >>= \sigmaY ->
      plate n (\i -> normal (yHat ! i) (unsafeProb sigmaY)) >>= \y ->
      dirac (pair y (pair (pair a1 a2)
                          (arrayLit [muA1, muA2, sigmaA1, sigmaA2, sigmaY])))
    where n          = nat_ 369
          dataPerson = var (Variable "dataPerson" 73 (SArray SNat)) 
          dataTime   = var (Variable "dataTime"   41 (SArray SReal)) -- hacks :(

linearRegression
    :: Model ('HArray 'HReal) ('HArray 'HReal)
linearRegression =
    normal (real_ 0) (prob_ 1) >>= \a ->
    normal (real_ 5) (prob_ 1.82574185835055371152) >>= \b ->
    gamma (prob_ 1) (prob_ 1) >>= \invNoise ->
    plate n (\i -> normal (a * (dataX ! i) + b) (recip $ sqrt invNoise)) >>= \y ->
    dirac (pair y (arrayLit [a, b, fromProb invNoise]))
    where n     = nat_ 1000
          dataX = var (Variable "dataX" 73 (SArray SReal)) -- hack :(

surveyUnbias :: Model ('HArray HBool)
                      (HPair ('HArray ('HArray 'HProb)) ('HArray 'HReal))
surveyUnbias =
    dirac (size population) >>= \n ->
    plate n (\_ -> beta (prob_ 1) (prob_ 1)) >>= \bias ->
    dirac (array n (\i -> population!i * bias!i)) >>= \mean ->
    dirac (array n (\i -> mean!i `unsafeMinusProb`
                          (mean!i * bias!i))) >>= \variance ->
    plate n (\i -> normal (fromProb $ mean!i)
                          (sqrt $ variance!i)) >>= \votes ->
    dirac (size personGender) >>= \m ->
    dirac (array m (\i -> bias ! (personGender ! i))) >>= \ansBias ->
    plate m (\i -> bern $ ansBias ! i) >>= \answer ->
    dirac (pair answer (pair (arrayLit [bias, mean, variance]) votes))
    where population   = var (Variable "population"   73 (SArray SProb))
          personGender = var (Variable "personGender" 41 (SArray SNat))

surveyUnbias2 :: Model ('HArray HBool)
                       (HPair ('HArray 'HProb) ('HArray 'HInt))
surveyUnbias2 =
    dirac (size population) >>= \n ->
    plate n (\_ -> beta (prob_ 1) (prob_ 1)) >>= \bias ->
    plate n (\i -> binomial (population!i) (bias!i)) >>= \votes ->
    dirac (size personGender) >>= \m ->
    dirac (array m (\i -> bias ! (personGender ! i))) >>= \ansBias ->
    plate m (\i -> bern $ ansBias ! i) >>= \answer ->
    dirac (pair answer (pair bias votes))
    where population   = var (Variable "population"   73 (SArray SNat))
          personGender = var (Variable "personGender" 41 (SArray SNat))
    
----------------------------------------------------------------

unzipFst :: Model ('HArray 'HReal) HUnit
unzipFst = plate n (\_ -> liftM2 pair (normal zero one)
                                      (normal zero one)) >>= \u ->
           dirac (array n (\i -> fst (u ! i))) >>= \v ->
           dirac (pair v unit)
    where n = nat_ 1000

transpose :: Model ('HArray ('HArray 'HReal)) HUnit
transpose = plate n (\_ -> plate n (\_ -> normal zero one)) >>= \u ->
            dirac (array n (\i -> array n (\j -> (u ! j) ! i))) >>= \v ->
            dirac (pair v unit)
    where n = nat_ 3500

----------------------------------------------------------------

testEmissions :: Model ('HArray 'HReal) HUnit
testEmissions = plate n (\_ -> lebesgue) >>= \xs ->
                plate n (\_ -> lebesgue) >>= \ys ->
                dirac (pair (array n (\i -> (xs ! i) + (ys ! i))) unit)
    where n = nat_ 100

-- Tug of war example for debugging scope extrusion errors
-- https://github.com/hakaru-dev/hakaru/issues/30
tow :: Model (HPair 'HReal 'HReal) 'HReal
tow = normal zero one >>= \alice ->
      normal zero one >>= \bob ->
      normal zero one >>= \carol ->
      (normal alice one >>= \a ->
       normal bob   one >>= \b ->
       dirac (a-b)) >>= \match1 ->
      (normal bob   one >>= \b ->
       normal carol one >>= \c ->
       dirac (b-c)) >>= \match2 ->
      (normal alice one >>= \a ->
       normal carol one >>= \c ->
       dirac (a-c)) >>= \match3 ->
      dirac (pair (pair match1 match2) match3)

-- Smaller version of tug of war
minimaltow :: Model 'HReal HUnit
minimaltow = normal zero one >>= \alice ->
             normal zero one >>= \bob ->
             (normal alice one >>= \a ->
              normal bob   one >>= \b ->
              dirac (a-b)) >>= \match ->
             dirac (pair match unit)

slice :: Model 'HReal 'HReal 
slice = normal zero one >>= \x ->
        uniform zero (fromProb (densityNormal zero one x)) >>= \y ->
        dirac (pair y x)

oneAndAll :: Model 'HReal ('HArray 'HReal)
oneAndAll = plate (nat_ 100) (\_ -> normal zero one) >>= \x ->
            dirac (pair (x ! nat_ 3) x)

runPerform
    :: TrivialABT Term '[] ('HMeasure a)
    -> [TrivialABT Term '[] ('HMeasure a)]
runPerform e = runDis (fromWhnf `Prelude.fmap` perform e) [Some2 e]               

-- | Tests that disintegration doesn't error and produces at least
-- one solution.
testDis
    :: (ABT Term abt)
    => String
    -> abt '[] ('HMeasure (HPair a b))
    -> Assertion
testDis p =
    assertBool (p ++ ": no disintegration found")
    . Prelude.not
    . Prelude.null
    . disintegrate

showFirst :: Model a b -> Prelude.IO ()
showFirst e = let anss = disintegrate e
              in if Prelude.null anss
                 then Prelude.putStrLn $ "no disintegration found"
                 else Prelude.print    $ pretty (head anss)

-- TODO: put all the "perform" tests in here
allTests :: Test
allTests = test
    [ testDis "testDisintegrate0a" norm0a
    , testDis "testDisintegrate0b" norm0b
    , testDis "testDisintegrate0c" norm0c
    , assertAlphaEq "testDisintegrate0a" (head testDisintegrate0a) norm0'
    , assertAlphaEq "testDisintegrate0b" (head testDisintegrate0b) norm0'
    , assertAlphaEq "testDisintegrate0c" (head testDisintegrate0c) norm0'
    , assertBool "testHygiene0b" $ Prelude.not (Prelude.null testHygiene0b)
    , testDis "testDisintegrate1a" norm1a
    , testDis "testDisintegrate1b" norm1b
    , testDis "testDisintegrate1c" norm1c
    , assertAlphaEq "testDisintegrate1a" (head testDisintegrate1a) norm1'
    , assertAlphaEq "testDisintegrate1b" (head testDisintegrate1b) norm1'
    , assertAlphaEq "testDisintegrate1c" (head testDisintegrate1c) norm1'
    , testDis "testDisintegrate2" norm2
    , assertAlphaEq "testDisintegrate2" (head testDisintegrate2) norm2'
    , testWithConcrete' match_norm_unif LaxMode $ \_typ ast ->
        case jmEq1 _typ (SMeasure $ sPair SReal sBool) of
        Just Refl -> testDis "testMatchNormUnif" ast
        Nothing   -> assertFailure "BUG: jmEq1 got the wrong type"
    , testWithConcrete' dont_atomize_weights LaxMode $ \_typ ast ->
        case jmEq1 _typ (SMeasure $ sPair SReal sUnit) of
        Just Refl -> testDis "testAtomizeWeights" ast
        Nothing   -> assertFailure "BUG: jmEq1 got the wrong type"
    , assertBool "testPerformEasyRoad" $ Prelude.not (Prelude.null testPerformEasyRoad)
    , testDis "testDisintegrateEasyRoad" easyRoad
    , assertAlphaEq "testDisintegrateEasyRoad" (head testDisintegrateEasyRoad) easyRoad'
    , testDis "testHelloWorld100" helloWorld100
    , assertAlphaEq "testHelloWorld100" (head testHelloWorld100) helloWorld100'
    , testDis "testCopy1" copy1
    , assertAlphaEq "testCopy1" (head testCopy1) copy1'
    , testDis "testCopy2" copy2
    , assertAlphaEq "testCopy2" (head testCopy2) copy1'
    , testDis "testPendulum" pendulum
    , assertAlphaEq "testPendulumDisintegrate" (disintegrate pendulum Prelude.!! 2) pendulum'
    , testDis "testNaiveBayes" naiveBayes
    , testDis "testClinicalTrial" clinicalTrial
    , testDis "testCoinBias" coinBias
    , testDis "testDigitRecognition" digitRecognition
    , testDis "TestHIV" hiv
    , testDis "testLinearRegression" linearRegression
    , testDis "testSurveyUnbias" surveyUnbias
    , testDis "testSurveyUnbias2" surveyUnbias2
    ]


----------------------------------------------------------------
----------------------------------------------------------- fin.