Scala @ PP

Test-driven development

2.1. Writing functions 2.2. Function evaluation (order of parameters in function call matters !)

  1. using the to delay evaluation

2.3. Conditionals

  1. def f(x : Int) = if (x >= 0) x else -x
  2. boolean expressions (true, false, !b, &&, ||)
  3. the “by value” definition using val
  4. example using def and val against a loop

Newton square root estimation

  • Blocks - expressions in Scala
  • visibility of variables in blocks
  • local scoping (similar to let)
  • semicolons (optional)
  • tail recursion in Scala (only direct recursive calls are optimised @tailrec)
  • function types (f : Int ⇒ Int)
  • anonymous functions ((x: Int, y: Int) ⇒ x + y, x ⇒ x+x)
  • currying (def f(x: Int, y: Int)(z: Int):Int = x+y+z)
  • higher-order functions (mapReduce implementation)
  • classes and methods
class Rational(x: Int, y: Int) { // creates a Type as well as a constructor for the new type
    def a = x
    def b = y
}
 
val r = new Rational(1,2)
  • toString and @override
  • the require (a precondition on the caller of a function) (equivalent to) and assert (check the code is right)
  • constructors:
    • multiple constructors:
class ... {
  def this(x: Int) = this(x,1)
}
  • infix notation for functions
  r add s   /*same as*/ r.add(s)
 
  def < (param : Rational)  /* symbolic identifiers may contain operator symbols */
 
  def unary_- (...) /* to overload negation. Careful, white spaces can be interpreted as identifiers */
 
  /* the precedence of an operator is determined by its first character */
  /* precedence cannot be overridden by the programmer */
 
  • object definitions - singleton classes object Empty extends IntSet
  • companion objects (one object per class)
  • annotation @main def birthday - can be called directly from compilation scala birthday …
  • println(s“Hello ”)
  • dynamic binding
  • packages - organising sources - directories (not enforced by the fs)
import pack.Obj
  • traits (similar to interfaces in Java, but can have parameters, contain fields and defined functions)
  • object hierarchy in Scala
  • exceptions (similar to Scala)
  • ADTs:
    • class Cons (val head: Int, val tail: List) extends… - value parameters
    • type parameters (square brackets)
    • generic functions def singleton[T] (elem: T) …

* Scala is a pure OO language (unlike Java)!!

  • functions are implemented as objects
trait Function1 [A,B]:
   def apply(x: A): B
 
f = new Function1[Int,Int]:      //anonymous class
      def apply(x: Int) = x * x 
 
/* anonymous classes are equivalent to blocks that evaluate to an object*/
{ class () extends Function1[Int,Int]:
     def apply(x: Int) = x * x
  ()
 
def f(x: Int): Boolean = ...
/* the above is not itself a function value. However, if it is used where a Function type is expected
   it is converted automatically to the function value: */
(x: Int) => f(x)
 
// or expanded to
 
new Function[Int, Boolean]:
   def apply(x: Int) = f(x)

Object-Oriented decomposition (the classical TDAs vs OO)

Functional decompositions (case classes)

def eval(e: Expr): Int = e match
    case Number(n) => n
    case Sum(e1,e2) => eval(e1) + eval(e2)
val l = 1 :: 2 :: 3 :: Nil

Enums (TDAs)

enum Expr:
   case Var (s: String)
   case Number (n: Int)
   case Sum(e1: Expr, e2: Expr)
   case Prod(e1: Expr, e2: Expr)

Type bounds in generics

def asseertAllPos [S <: IntSet] (r: S): S = ...