// Scala Lecture 3//=================// Pattern Matching//==================// A powerful tool which is supposed to come to Java in a few years// time (https://www.youtube.com/watch?v=oGll155-vuQ)...Scala already// has it for many years. Other functional languages have it already for// decades. I think I would be really upset if a programming language // I have to use does not have pattern matching....its is just so // useful. ;o)// The general schema://// expression match {// case pattern1 => expression1// case pattern2 => expression2// ...// case patternN => expressionN// }// rememberval lst = List(None, Some(1), Some(2), None, Some(3)).flattendef my_flatten(xs: List[Option[Int]]): List[Int] = { if (xs == Nil) Nil else if (xs.head == None) my_flatten(xs.tail) else xs.head.get :: my_flatten(xs.tail)}val lst = List(None, Some(1), Some(2), None, Some(3))def my_flatten(lst: List[Option[Int]]): List[Int] = lst match { case Nil => Nil case None::xs => my_flatten(xs) case Some(n)::xs => n::my_flatten(xs)}my_flatten(lst)Nil == List()// another example including a catch-all patterndef get_me_a_string(n: Int): String = n match { case 0 => "zero" case 1 => "one" case 2 => "two" case _ => "many"}get_me_a_string(10)// you can also have cases combineddef season(month: String) = month match { case "March" | "April" | "May" => "It's spring" case "June" | "July" | "August" => "It's summer" case "September" | "October" | "November" => "It's autumn" case "December" | "January" | "February" => "It's winter"}println(season("November"))// What happens if no case matches?println(season("foobar"))// we can also match more complicated pattern//// let's look at the Collatz function on binary strings// adding two binary strings in a very, very lazy mannerdef badd(s1: String, s2: String) : String = (BigInt(s1, 2) + BigInt(s2, 2)).toString(2)"111".dropRight(1)"111".lastdef bcollatz(s: String) : Long = (s.dropRight(1), s.last) match { case ("", '1') => 1 // we reached 1 case (rest, '0') => 1 + bcollatz(rest) // even number => divide by two case (rest, '1') => 1 + bcollatz(badd(s + '1', s)) // odd number => s + '1' is 2 * s + 1 // add another s gives 3 * s + 1 } bcollatz(6.toBinaryString)bcollatz(837799.toBinaryString)bcollatz(100000000000000000L.toBinaryString)bcollatz(BigInt("1000000000000000000000000000000000000000000000000000000000000000000000000000").toString(2))// User-defined Datatypes//========================abstract class Colourcase object Red extends Colour case object Green extends Colour case object Blue extends Colourdef fav_colour(c: Colour) : Boolean = c match { case Red => false case Green => true case Blue => false }fav_colour(Green)// actually colors can be written with "object",// because they do not take any arguments// ... a bit more useful: Roman Numeralsabstract class RomanDigit case object I extends RomanDigit case object V extends RomanDigit case object X extends RomanDigit case object L extends RomanDigit case object C extends RomanDigit case object D extends RomanDigit case object M extends RomanDigit type RomanNumeral = List[RomanDigit] def RomanNumeral2Int(rs: RomanNumeral): Int = rs match { case Nil => 0 case M::r => 1000 + RomanNumeral2Int(r) case C::M::r => 900 + RomanNumeral2Int(r) case D::r => 500 + RomanNumeral2Int(r) case C::D::r => 400 + RomanNumeral2Int(r) case C::r => 100 + RomanNumeral2Int(r) case X::C::r => 90 + RomanNumeral2Int(r) case L::r => 50 + RomanNumeral2Int(r) case X::L::r => 40 + RomanNumeral2Int(r) case X::r => 10 + RomanNumeral2Int(r) case I::X::r => 9 + RomanNumeral2Int(r) case V::r => 5 + RomanNumeral2Int(r) case I::V::r => 4 + RomanNumeral2Int(r) case I::r => 1 + RomanNumeral2Int(r)}RomanNumeral2Int(List(I,V)) // 4RomanNumeral2Int(List(I,I,I,I)) // 4 (invalid Roman number)RomanNumeral2Int(List(V,I)) // 6RomanNumeral2Int(List(I,X)) // 9RomanNumeral2Int(List(M,C,M,L,X,X,I,X)) // 1979RomanNumeral2Int(List(M,M,X,V,I,I)) // 2017// another example//=================// Once upon a time, in a complete fictional country there were Persons...abstract class Personcase object King extends Personcase class Peer(deg: String, terr: String, succ: Int) extends Personcase class Knight(name: String) extends Personcase class Peasant(name: String) extends Personcase object Clown extends Persondef title(p: Person): String = p match { case King => "His Majesty the King" case Peer(deg, terr, _) => s"The ${deg} of ${terr}" case Knight(name) => s"Sir ${name}" case Peasant(name) => name case Clown => "My name is Boris Johnson"}title(Clown)def superior(p1: Person, p2: Person): Boolean = (p1, p2) match { case (King, _) => true case (Peer(_,_,_), Knight(_)) => true case (Peer(_,_,_), Peasant(_)) => true case (Peer(_,_,_), Clown) => true case (Knight(_), Peasant(_)) => true case (Knight(_), Clown) => true case (Clown, Peasant(_)) => true case _ => false}val people = List(Knight("David"), Peer("Duke", "Norfolk", 84), Peasant("Christian"), King, Clown)println(people.sortWith(superior(_, _)).mkString(", "))// Tail recursion//================def fact(n: Long): Long = if (n == 0) 1 else n * fact(n - 1)fact(10) //okfact(10000) // produces a stackoverflowdef factT(n: BigInt, acc: BigInt): BigInt = if (n == 0) acc else factT(n - 1, n * acc)factT(10, 1)factT(100000, 1)// there is a flag for ensuring a function is tail recursiveimport scala.annotation.tailrec@tailrecdef factT(n: BigInt, acc: BigInt): BigInt = if (n == 0) acc else factT(n - 1, n * acc)// for tail-recursive functions the Scala compiler// generates loop-like code, which does not need// to allocate stack-space in each recursive// call; Scala can do this only for tail-recursive// functions// sudoku againval game0 = """.14.6.3.. |62...4..9 |.8..5.6.. |.6.2....3 |.7..1..5. |5....9.6. |..6.2..3. |1..5...92 |..7.9.41.""".stripMargin.replaceAll("\\n", "")type Pos = (Int, Int)val EmptyValue = '.'val MaxValue = 9val allValues = "123456789".toListval indexes = (0 to 8).toListdef empty(game: String) = game.indexOf(EmptyValue)def isDone(game: String) = empty(game) == -1 def emptyPosition(game: String) = (empty(game) % MaxValue, empty(game) / MaxValue)def get_row(game: String, y: Int) = indexes.map(col => game(y * MaxValue + col))def get_col(game: String, x: Int) = indexes.map(row => game(x + row * MaxValue))def get_box(game: String, pos: Pos): List[Char] = { def base(p: Int): Int = (p / 3) * 3 val x0 = base(pos._1) val y0 = base(pos._2) val ys = (y0 until y0 + 3).toList (x0 until x0 + 3).toList.flatMap(x => ys.map(y => game(x + y * MaxValue)))}// this is not mutable!!def update(game: String, pos: Int, value: Char): String = game.updated(pos, value)def toAvoid(game: String, pos: Pos): List[Char] = (get_col(game, pos._1) ++ get_row(game, pos._2) ++ get_box(game, pos))def candidates(game: String, pos: Pos): List[Char] = allValues.diff(toAvoid(game,pos))//candidates(game0, (0,0))def pretty(game: String): String = "\n" + (game sliding (MaxValue, MaxValue) mkString "\n")/////////////////////// not tail recursive def search(game: String): List[String] = { if (isDone(game)) List(game) else { val cs = candidates(game, emptyPosition(game)) cs.map(c => search(update(game, empty(game), c))).toList.flatten }}// tail recursive version that searches // for all solutionsdef searchT(games: List[String], sols: List[String]): List[String] = games match { case Nil => sols case game::rest => { if (isDone(game)) searchT(rest, game::sols) else { val cs = candidates(game, emptyPosition(game)) searchT(cs.map(c => update(game, empty(game), c)) ::: rest, sols) } }}searchT(List(game3), List()).map(pretty)// tail recursive version that searches // for a single solutiondef search1T(games: List[String]): Option[String] = games match { case Nil => None case game::rest => { if (isDone(game)) Some(game) else { val cs = candidates(game, emptyPosition(game)) search1T(cs.map(c => update(game, empty(game), c)) ::: rest) } }}search1T(List(game3)).map(pretty)// game with multiple solutionsval game3 = """.8...9743 |.5...8.1. |.1....... |8....5... |...8.4... |...3....6 |.......7. |.3.5...8. |9724...5.""".stripMargin.replaceAll("\\n", "")searchT(List(game3), Nil).map(pretty)search1T(List(game3)).map(pretty)// Moral: Whenever a recursive function is resource-critical// (i.e. works with large recursion depth), then you need to// write it in tail-recursive fashion.// // Unfortuantely, Scala because of current limitations in // the JVM is not as clever as other functional languages. It can // only optimise "self-tail calls". This excludes the cases of // multiple functions making tail calls to each other. Well,// nothing is perfect. // Polymorphic Types//===================// You do not want to write functions like contains, first // and so on for every type of lists.def length_string_list(lst: List[String]): Int = lst match { case Nil => 0 case x::xs => 1 + length_string_list(xs)}def length_int_list(lst: List[Int]): Int = lst match { case Nil => 0 case x::xs => 1 + length_int_list(xs)}length_string_list(List("1", "2", "3", "4"))length_int_list(List(1, 2, 3, 4))//-----def length[A](lst: List[A]): Int = lst match { case Nil => 0 case x::xs => 1 + length(xs)}length(List("1", "2", "3", "4"))length(List(King, Knight("foo"), Clown))length(List(1, 2, 3, 4))def map[A, B](lst: List[A], f: A => B): List[B] = lst match { case Nil => Nil case x::xs => f(x)::map_int_list(xs, f) }map_int_list(List(1, 2, 3, 4), square)// Remember?def first[A, B](xs: List[A], f: A => Option[B]): Option[B] = ...// Cool Stuff//============// Implicits //===========//// For example adding your own methods to Strings:// Imagine you want to increment strings, like//// "HAL".increment//// you can avoid ugly fudges, like a MyString, by// using implicit conversions.implicit class MyString(s: String) { def increment = for (c <- s) yield (c + 1).toChar }"HAL".increment// Regular expressions - the power of DSLs in Scala//==================================================abstract class Rexpcase object ZERO extends Rexp // nothingcase object ONE extends Rexp // the empty stringcase class CHAR(c: Char) extends Rexp // a character ccase class ALT(r1: Rexp, r2: Rexp) extends Rexp // alternative r1 + r2case class SEQ(r1: Rexp, r2: Rexp) extends Rexp // sequence r1 o r2 case class STAR(r: Rexp) extends Rexp // star r*// (ab)*val r0 = STAR(SEQ(CHAR('a'), CHAR('b')))// some convenience for typing in regular expressionsimport scala.language.implicitConversions import scala.language.reflectiveCalls def charlist2rexp(s: List[Char]): Rexp = s match { case Nil => ONE case c::Nil => CHAR(c) case c::s => SEQ(CHAR(c), charlist2rexp(s))}implicit def string2rexp(s: String): Rexp = charlist2rexp(s.toList)val r1 = STAR("ab")val r2 = STAR(ALT("ab"))val r3 = STAR(ALT("ab", "baa baa black sheep"))implicit def RexpOps (r: Rexp) = new { def | (s: Rexp) = ALT(r, s) def % = STAR(r) def ~ (s: Rexp) = SEQ(r, s)}implicit def stringOps (s: String) = new { def | (r: Rexp) = ALT(s, r) def | (r: String) = ALT(s, r) def % = STAR(s) def ~ (r: Rexp) = SEQ(s, r) def ~ (r: String) = SEQ(s, r)}//example regular expressionsval digit = "0" | "1" | "2" | "3" | "4" | "5" | "6" | "7" | "8" | "9"val sign = "+" | "-" | ""val number = sign ~ digit ~ digit.% // The End//=========// A function should do one thing, and only one thing.// Make your variables immutable, unless there's a good // reason not to.// You can be productive on Day 1, but the language is deep.//// http://scalapuzzlers.com//// http://www.latkin.org/blog/2017/05/02/when-the-scala-compiler-doesnt-help/List(1, 2, 3) contains "your mom"// I like best about Scala that it lets me often write// concise, readable code.