Problem:
Score : 200 points

Problem Statement

Takahashi is participating in a programming contest called AXC002, and he has just submitted his code to Problem A.

The problem has N test cases.

For each test case i (1\leq i \leq N), you are given a string S_i representing the verdict for that test case. Find the numbers of test cases for which the verdict is AC, WA, TLE, and RE, respectively.

See the Output section for the output format.

Constraints

1 \leq N \leq 10^5

S_i is AC, WA, TLE, or RE.

Input

Input is given from Standard Input in the following format:

N
S_1
\vdots
S_N

Output

Let C_0, C_1, C_2, and C_3 be the numbers of test cases for which the verdict is AC, WA, TLE, and RE, respectively. Print the following:

AC x C_0
WA x C_1
TLE x C_2
RE x C_3

Sample Input 1

6
AC
TLE
AC
AC
WA
TLE

Sample Output 1

AC x 3
WA x 1
TLE x 2
RE x 0

We have 3, 1, 2, and 0 test case(s) for which the verdict is AC, WA, TLE, and RE, respectively.

Sample Input 2

10
AC
AC
AC
AC
AC
AC
AC
AC
AC
AC

Sample Output 2

AC x 10
WA x 0
TLE x 0
RE x 0

Solution in Haskell (GHC 8.8.3) (judge verdict: Accepted)

{-# LANGUAGE MultiWayIf #-}

module Main where
import           Prelude
import           Control.Monad
import           Data.Monoid
import qualified Data.Array                    as A
import qualified Data.Array.IO                 as AIO
import qualified Data.Array.Unboxed            as AU
import qualified Data.ByteString               as BS
import qualified Data.ByteString.Char8         as BSC8
import           Data.Char
import           Data.List
import qualified Data.Map.Strict               as M
import           Data.Maybe
import           Data.Ord
import qualified Data.Set                      as S
import qualified Data.Vector                   as V
import           Data.Vector.Algorithms.Search
import qualified Data.Vector.Mutable           as VM
import qualified Data.Vector.Unboxed           as VU
import qualified Data.Vector.Unboxed.Mutable   as VUM
import           Debug.Trace
--import qualified Data.Heap                     as H
import qualified Data.Sequence                 as SQ
import qualified Data.Graph.Inductive.PatriciaTree
                                               as G
import qualified Data.Graph.Inductive.Graph    as G
import           Data.Int
import           Data.Bits



main = do
  --aN       <- getI
  --[aA, aB] <- getIL
  --aS       <- getLine
  aN  <- getI
  aSA <- replicateM aN $ do
    aS <- getLine
    if
      | aS == "AC"  -> return (0, 1) :: IO (Int, Int)
      | aS == "WA"  -> return (1, 1)
      | aS == "TLE" -> return (2, 1)
      | aS == "RE"  -> return (3, 1)
      | otherwise   -> return (4, 1)

  let ans = VU.accum (+) (VU.replicate 5 0) aSA

  putStrLn $ "AC x " ++ (show $ans VU.! 0)
  putStrLn $ "WA x " ++ (show $ans VU.! 1)
  putStrLn $ "TLE x " ++ (show $ans VU.! 2)
  putStrLn $ "RE x " ++ (show $ans VU.! 3)

  return ()
{-
hMaxPoint :: Int
hMaxPoint = 101
hMaximum :: H.Heap Int -> Int
hMaximum h = hMaxPoint - (H.minimum h)
hInsertMax :: Int -> H.Heap Int -> H.Heap Int
hInsertMax x = H.insert (hMaxPoint - x)
hDeleteMax :: H.Heap Int -> H.Heap Int
hDeleteMax = H.deleteMin
-}

{-
aroundSquare y x h w =
  [ aYX
  | aYX@(aY, aX) <- [(y - 1, x), (y, x - 1), (y + 1, x), (y, x + 1), (y, x)]
  , aY >= 0
  , aY <= (h - 1)
  , aX >= 0
  , aX <= (w - 1)
  ]
-}

splitReadBSC8 :: BSC8.ByteString -> [Int]
splitReadBSC8 bs =
  let (bs1, newBs) = BSC8.splitAt 1 bs
  in  if newBs == BSC8.empty
        then [test $ BSC8.readInt bs1]
        else (test $ BSC8.readInt bs1) : (splitReadBSC8 newBs)
  where test (Just (i, _)) = i

read2DimChar :: VM.IOVector (VUM.IOVector Char) -> Int -> Int -> IO Char
read2DimChar vec y x = do
  vecY <- VM.read vec y
  VUM.read vecY x
write2DimChar :: VM.IOVector (VUM.IOVector Char) -> Int -> Int -> Char -> IO ()
write2DimChar vec y x t = do
  vecY <- VM.read vec y
  VUM.write vecY x t

readTwoDimVec :: VM.IOVector (VUM.IOVector Int) -> Int -> Int -> IO Int
readTwoDimVec vec y x = do
  vecY <- VM.read vec y
  VUM.read vecY x
writeTwoDimVec :: VM.IOVector (VUM.IOVector Int) -> Int -> Int -> Int -> IO ()
writeTwoDimVec vec y x t = do
  vecY <- VM.read vec y
  VUM.write vecY x t


getVUI :: IO (VU.Vector Int)
getVUI = VU.unfoldr (BSC8.readInt . BSC8.dropWhile isSpace) <$> BSC8.getLine

getRepVUI :: Int -> IO (VU.Vector Int)
getRepVUI n =
  VU.unfoldr (BSC8.readInt . BSC8.dropWhile isSpace)
    .   BSC8.unlines
    <$> replicateM n BSC8.getLine

getVS :: IO (V.Vector Char)
getVS = V.fromList <$> getLine

getVUC :: IO (VU.Vector Char)
getVUC = VU.fromList <$> getLine

readI :: BSC8.ByteString -> Int
readI = fst . fromJust . BSC8.readInt


readIL :: BSC8.ByteString -> [Int]
readIL = map readI . BSC8.words


readIT2 :: BSC8.ByteString -> (Int, Int)
readIT2 bs =
  let words = BSC8.words bs in (readI $ head words, readI $ last words)

getI :: IO Int
getI = readI <$> BSC8.getLine

getIL :: IO [Int]
getIL = readIL <$> BSC8.getLine


getIT2 :: IO (Int, Int)
getIT2 = readIT2 <$> BSC8.getLine

getIT2Order :: IO (Int, Int)
getIT2Order =
  getIL >>= \x@[xz, xo] -> if xz > xo then return (xo, xz) else return (xz, xo)

getNIS :: Int -> IO [(Int, BSC8.ByteString)]
getNIS 0 = return []
getNIS n = do
  [aFst, aSnd] <- BSC8.words <$> BSC8.getLine
  next         <- getNIS (n - 1)
  return ((readI aFst, aSnd) : next)

il2Words :: [Int] -> String
il2Words = unwords . map show

il2Lines :: [Int] -> String
il2Lines = unlines . map show

p :: Int -> Int
p x = x - 1

--modNum = 10 ^ 9 + 7
--modulus = 1000000007
modulus = 2019

newtype MInt = M Int

instance Num MInt where
  (M a) + (M b) = M $ mod (a + b) modulus

  (M a) - (M b) = M $ mod (a - b) modulus

  (M a) * (M b) = M $ mod (a * b) modulus

  fromInteger a = M $ mod (fromInteger a) modulus

  abs (M a) = M $ abs a

  signum (M a) = M $ signum a

instance Show MInt where
  show (M a) = show (mod a modulus)

int2MInt :: Int -> MInt
int2MInt a = M (mod a modulus)

mInt2Int :: MInt -> Int
mInt2Int (M a) = a

{-
factsMod :: V.Vector MInt
factsMod = V.scanl (\acc x -> M x * acc) 1 $ V.generate 2000000 (+ 1)

factMod :: Int -> MInt
factMod = (factsMod V.!)
-}

factMod :: Int -> MInt
factMod n | n == 0    = 1
          | n == 1    = 1
          | otherwise = M n * (factMod (n - 1))


factDivMod :: Int -> Int -> MInt
factDivMod n k | n == k    = M 1
               | otherwise = M n * (factDivMod (n - 1) k)

powMod :: MInt -> MInt -> MInt
powMod n mK@(M k) | k == 0       = M 1
                  | k == 1       = n
                  | mod k 2 == 0 = powMod (n ^ 2) (M (div k 2))
                  | otherwise    = n * powMod (n ^ 2) (M (div k 2))

invMod :: MInt -> MInt
invMod (M 0) = error "inverse of 0"
invMod x     = powMod x (M (modulus - 2))

{-
combiMod :: Int -> Int -> MInt
combiMod n k
  | n < 0 || k < 0 || k > n = 0
  | otherwise = factMod n * invMod (factMod (n - k)) * invMod (factMod k)
-}
combiMod :: Int -> Int -> MInt
combiMod n k | n < 0 || k < 0 || k > n = 0
             | k > n - k = factDivMod n k * invMod (factMod (n - k))
             | otherwise = factDivMod n (n - k) * invMod (factMod k)



combi :: Int -> Int -> Int
combi n k | n < 0 || k < 0 || k > n = 0
          | k == n                  = 1
          | otherwise               = div (div (fact n) (fact (n - k))) (fact k)

{-w
primes :: Integral a => [a]
primes = map fromIntegral $ [2, 3] ++ primes'
 where
  primes' = [5] ++ f 1 7 primes'
  f m s (p : ps) = [ n | n <- ns, gcd m n == 1 ] ++ f (m * p) (p * p) ps
    where ns = [ x + y | x <- [s, s + 6 .. p * p - 2], y <- [0, 4] ]

prime n = primes !! n
primes = sieve [2 ..]
sieve (p : xs) = p : sieve [ x | x <- xs, x `mod` p /= 0 ]
-}
fact :: Int -> Int
fact 0         = 1
fact n | n > 0 = n * fact (n - 1)

knappsackWDP :: Int -> [(Int, Int)] -> VU.Vector Int
knappsackWDP maxW [] = VU.replicate (maxW + 1) 0
knappsackWDP maxW ((w, v) : xs) =
  let tailDP = knappsackWDP maxW xs
  in  VU.generate (maxW + 1) $ \i -> if w <= i
        then max (tailDP VU.! i) (tailDP VU.! (i - w) + v)
        else tailDP VU.! i

knappsackVDP :: Int -> Int -> Int -> [(Int, Int)] -> VU.Vector Int
knappsackVDP maxW maxV n [] = VU.cons 0 $ VU.replicate (n * maxV) maxW
knappsackVDP maxW maxV n ((w, v) : xs) =
  let tailDP = knappsackVDP maxW maxV n xs
  in  VU.generate (n * maxV + 1) $ \i -> if v <= i
        then min (tailDP VU.! i) (tailDP VU.! (i - v) + w)
        else tailDP VU.! i

knappsackMinVol
  :: AIO.IOArray (Int, Int) Int
  -> VU.Vector Int
  -> VU.Vector Int
  -> Int
  -> Int
  -> IO Int
knappsackMinVol dp volumeVec valueVec dpSize maxVolume = do
  mapM_
    (\i -> mapM_
      (\v -> do
        let volume = volumeVec VU.! i
            value  = valueVec VU.! i
        newdp <- if (v + value) > dpSize
          then AIO.readArray dp (i, v)
          else do
            dpIVm <- AIO.readArray dp (i, v + value)
            dpIV  <- AIO.readArray dp (i, v)
            return (min (dpIVm - volume) dpIV)
        AIO.writeArray dp (i + 1, v) newdp
      )
      (reverse [0 .. dpSize])
    )
    [0 .. VU.length valueVec - 1]
  foldM
    (\acc x -> do
      num <- AIO.readArray dp (VU.length volumeVec, x)
      return $ if num <= maxVolume then x else acc
    )
    0
    [0 .. dpSize]


lcsTable :: BS.ByteString -> BS.ByteString -> V.Vector (VU.Vector Int)
lcsTable xs ys = V.scanl step (VU.replicate (m + 1) 0) xs'
 where
  n   = BS.length xs
  m   = BS.length ys
  xs' = V.generate n $ BSC8.index xs :: V.Vector Char
  ys' = VU.generate m $ BSC8.index ys :: VU.Vector Char
  step :: VU.Vector Int -> Char -> VU.Vector Int
  step v x = VU.scanl innerStep 0 (VU.zip3 v (VU.tail v) ys')
   where
    innerStep :: Int -> (Int, Int, Char) -> Int
    innerStep a (b, c, y) | x == y    = 1 + b
                          | otherwise = max a c
{-
main = do
xs <- BS.getLine
ys <- BS.getLine
print $ VU.last $ V.last $ lcsTable xs ys
-}


myFilter :: (a -> Bool) -> [a] -> ([a], [a])
myFilter _pred [] = ([], [])
myFilter pred (x : xs)
  | pred x    = let (l, r) = myFilter pred xs in (x : l, r)
  | otherwise = let (l, r) = myFilter pred xs in (l, x : r)

--UnionFindデータ構造
type UF_PARENT = VUM.IOVector Int
type UF_RANK = VUM.IOVector Int
type UF = (UF_PARENT, UF_RANK)
uf_makeSet :: Int -> IO UF
uf_makeSet n = do
  parent <- VU.thaw $ VU.generate n id
  rank   <- VUM.replicate n 0
  return (parent, rank)
uf_union :: UF -> Int -> Int -> IO ()
uf_union unionFind@(parents, ranks) x y = do
  xRoot     <- uf_find unionFind x
  yRoot     <- uf_find unionFind y
  xRootRank <- VUM.read ranks xRoot
  yRootRank <- VUM.read ranks yRoot
  if
    | xRootRank > yRootRank -> VUM.write parents yRoot xRoot
    | xRootRank < yRootRank -> VUM.write parents xRoot yRoot
    | xRoot /= yRoot -> do
      VUM.write parents yRoot xRoot
      VUM.write ranks xRoot (xRootRank + 1)
    | otherwise -> return ()

uf_find :: UF -> Int -> IO Int
uf_find unionFind@(parents, ranks) x = do
  xParent <- VUM.read parents x
  if xParent == x
    then return x
    else do
      xRootParent <- uf_find unionFind xParent
      VUM.write parents x xRootParent
      return xRootParent

--UnDirectedGraph(無向グラフ)データ構造
type UDG = M.Map Int [Int]
list2UDG :: [(Int, Int)] -> M.Map Int [Int]
list2UDG = foldl
  (\acc x ->
    let lr = M.insertWith (++) (fst x) [snd x] acc
    in  M.insertWith (++) (snd x) [fst x] lr
  )
  M.empty