// Scala Lecture 2

//=================

// String Interpolations

//=======================

def cube(n: Int) : Int = n * n * n

val n = 3

println("The cube of " + n + " is " + cube(n) + ".")

println(s"The cube of $n is ${cube(n)}.")

// or even

println(s"The cube of $n is ${n * n * n}.")

// helpful for debugging purposes

//

//     "The most effective debugging tool is still careful 

//          thought, coupled with judiciously placed print 

//                                             statements."

//       — Brian W. Kernighan, in Unix for Beginners (1979)

def gcd_db(a: Int, b: Int) : Int = {

  println(s"Function called with $a and $b.")

  if (b == 0) a else gcd_db(b, a % b)

}

gcd_db(48, 18)

// you can also implement your own string interpolations

import scala.language.implicitConversions

import scala.language.reflectiveCalls

implicit def sring_inters(sc: StringContext) = new {

    def i(args: Any*): String = s"\t${sc.s(args:_*)}\n"

    def l(args: Any*): String = s"${sc.s(args:_*)}:\n"

}

// this allows you to write things like

i"add ${3+2}" 

l"some_fresh_name"

// The Option Type

//=================

// in Java, if something unusually happens, you return null 

// or raise an exception

//

//in Scala you use Options instead

//   - if the value is present, you use Some(value)

//   - if no value is present, you use None

List(7,2,3,4,5,6).find(_ < 4)

List(5,6,7,8,9).find(_ < 4)

// Int:      ..., 0, 1, 2,...

// Boolean:  true false

//

// List[Int]: Nil, List(_) 

//

// Option[Int]: None, Some(0), Some(1), ...

// Option[Boolean]: None, Some(true), Some(false)

// Option[...]: None, Some(_)

def safe_div(x: Int, y: Int) : Option[Int] = 

  if (y == 0) None else Some(x / y)

safe_div(10 + 5, 4 - 1)  

List(1,2,3,4,5,6).indexOf(7)

List[Int]().minOption

def my_min(ls: List[Int]) : Option[Int] = 

  ls.minOption

my_min(List(1,2,3,4))

// better error handling with Options (no exceptions)

//

//  Try(something).getOrElse(what_to_do_in_case_of_an_exception)

//

import scala.util._

import io.Source

val my_url = "https://nms.kcl.ac.uk/christian.urban/"

Source.fromURL(my_url)("ISO-8859-1").mkString

Source.fromURL(my_url)("ISO-8859-1").getLines().toList

Try(Source.fromURL(my_url)("ISO-8859-1").mkString).getOrElse("")

Try(Some(Source.fromURL(my_url)("ISO-8859-1").mkString)).getOrElse(None)

// the same for files

Try(Some(Source.fromFile("test.txt")("ISO-8859-1").mkString)).getOrElse(None)

Try(Source.fromFile("test.txt")("ISO-8859-1").mkString).toOption

Using(Source.fromFile("test.txt")("ISO-8859-1"))(_.mkString).toOption

// how to implement a function for reading 

// (lines) from files...

//

def get_contents(name: String) : List[String] = 

  Source.fromFile(name)("ISO-8859-1").getLines().toList

get_contents("text.txt")

get_contents("test.txt")

// slightly better - return Nil

def get_contents(name: String) : List[String] = 

  Try(Source.fromFile(name)("ISO-8859-1").getLines.toList).getOrElse(List())

get_contents("text.txt")

// much better - you record in the type that things can go wrong 

def get_contents(name: String) : Option[List[String]] = 

  Try(Some(Source.fromFile(name)("ISO-8859-1").getLines().toList)).getOrElse(None)

get_contents("text.txt")

get_contents("test.txt")

// operations on options

val lst = List(None, Some(1), Some(2), None, Some(3))

lst.flatten

Some(1).get

None.get

Some(1).isDefined

None.isDefined

for (x <- lst) yield x.getOrElse(0)

val ps = List((3, 0), (4, 2), (6, 2), 

              (2, 0), (1, 0), (1, 1))

// division where possible

for ((x, y) <- ps) yield {

  if (y == 0) None else Some(x / y)

}

// getOrElse is for setting a default value

val lst = List(None, Some(1), Some(2), None, Some(3))

// a function that turns strings into numbers 

// (similar to .toInt)

Integer.parseInt("1234")

def get_me_an_int(s: String) : Option[Int] = 

 Try(Some(Integer.parseInt(s))).getOrElse(None)

// This may not look any better than working with null in Java, but to

// see the value, you have to put yourself in the shoes of the

// consumer of the get_me_an_int function, and imagine you didn't

// write that function.

//

// In Java, if you didn't write this function, you'd have to depend on

// the Javadoc of the get_me_an_int. If you didn't look at the Javadoc, 

// you might not know that get_me_an_int could return null, and your 

// code could potentially throw a NullPointerException.

// even Scala is not immune to problems like this:

List(5,6,7,8,9).indexOf(7)

List(5,6,7,8,9).indexOf(10)

List(5,6,7,8,9)(-1)

Try({

  val x = 3

  val y = 0

  Some(x / y)

}).getOrElse(None)

// minOption 

// maxOption 

// minByOption 

// maxByOption

// Higher-Order Functions

//========================

// functions can take functions as arguments

// and produce functions as result

def even(x: Int) : Boolean = x % 2 == 0

def odd(x: Int) : Boolean = x % 2 == 1

val lst = (1 to 10).toList

lst.filter(even)

lst.count(odd)

lst.find(even)

lst.exists(even)

lst.find(_ < 4)

lst.filter(_ < 4) 

def less4(x: Int) : Boolean = x < 4

lst.find(less4)

lst.find(_ < 4)

lst.filter(x => x % 2 == 0)

lst.filter(_ % 2 == 0)

lst.sortWith((x, y) => x < y)

lst.sortWith(_ > _)

// but this only works when the arguments are clear, but 

// not with multiple occurences

lst.find(n => odd(n) && n > 2)

// lexicographic ordering

val ps = List((3, 0), (3, 2), (4, 2), (2, 2), 

              (2, 0), (1, 1), (1, 0))

def lex(x: (Int, Int), y: (Int, Int)) : Boolean = 

  if (x._1 == y._1) x._2 < y._2 else x._1 < y._1

ps.sortWith(lex)

ps.sortBy(x => x._1)

ps.sortBy(_._2)

ps.maxBy(_._1)

ps.maxBy(_._2)

// maps (lower-case)

//===================

def double(x: Int): Int = x + x

def square(x: Int): Int = x * x

val lst = (1 to 10).toList

lst.map(square)

lst.map(x => (double(x), square(x)))

// works also for strings

def tweet(c: Char) = c.toUpper

"Hello World".map(tweet)

// this can be iterated

lst.map(square).filter(_ > 4)

lst.map(square).find(_ > 4)

lst.map(square).find(_ > 4).map(double)

lst.map(square)

   .find(_ > 4)

   .map(double)

// Option Type and maps

//======================

// a function that turns strings into numbers (similar to .toInt)

Integer.parseInt("12u34")

// maps on Options

import scala.util._

def get_me_an_int(s: String) : Option[Int] = 

 Try(Some(Integer.parseInt(s))).getOrElse(None)

get_me_an_int("12345").map(_ % 2 == 0)

get_me_an_int("12u34").map(_ % 2 == 0)

val lst = List("12345", "foo", "5432", "bar", "x21", "456")

for (x <- lst) yield get_me_an_int(x)

// summing up all the numbers

lst.map(get_me_an_int).flatten.sum

// this is actually how for-comprehensions are

// defined in Scala

lst.map(n => square(n))

for (n <- lst) yield square(n)

// lets define our own higher-order functions

// type of functions is for example Int => Int

def my_map_int(lst: List[Int], f: Int => Int) : List[Int] = 

{

  if (lst == Nil) Nil

  else f(lst.head) :: my_map_int(lst.tail, f)

}

my_map_int(lst, square)

// same function using pattern matching: a kind

// of switch statement on steroids (see more later on)

def my_map_int(lst: List[Int], f: Int => Int) : List[Int] = 

  lst match {

    case Nil => Nil

    case x::xs => f(x)::my_map_int(xs, f)

  }

val biglst = (1 to 10000).toList

my_map_int(biglst, double)

(1 to 10000000).toList.map(double)

// other function types

//

// f1: (Int, Int) => Int

// f2: List[String] => Option[Int]

// ... 

// Map type (upper-case)

//=======================

// Note the difference between map and Map

val m = Map(1 -> "one", 2 -> "two", 10 -> "many")

List((1, "one"), (2, "two"), (10, "many")).toMap

m.get(1)

m.get(4)

m.getOrElse(1, "")

m.getOrElse(4, "")

val new_m = m + (10 -> "ten")

new_m.get(10)

val m2 = for ((k, v) <- m) yield (k, v.toUpperCase)

// groupBy function on Maps

val lst = List("one", "two", "three", "four", "five")

lst.groupBy(_.head)

lst.groupBy(_.length)

lst.groupBy(_.length).get(3)

val grps = lst.groupBy(_.length)

grps.keySet

// 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 ;o)

// The general schema:

//

//    expression match {

//       case pattern1 => expression1

//       case pattern2 => expression2

//       ...

//       case patternN => expressionN

//    }

// recall

def my_map_int(lst: List[Int], f: Int => Int) : List[Int] = 

  lst match {

    case Nil => Nil

    case x::xs => f(x)::my_map_int(xs, f)

  }

def my_map_option(o: Option[Int], f: Int => Int) : Option[Int] = 

  o match {

    case None => None

    case Some(x) => Some(f(x))

  }

my_map_option(None, x => x * x)

my_map_option(Some(8), x => x * x)

// you can also have cases combined

def season(month: String) : 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" => "It's winter"

  case "January" | "February" => "It's unfortunately winter"

  case _ => "Wrong month"

}

// pattern-match on integers

def fib(n: Int) : Int = n match { 

  case 0 | 1 => 1

  case n => fib(n - 1) + fib(n - 2)

}

fib(10)

// Silly: fizz buzz

def fizz_buzz(n: Int) : String = (n % 3, n % 5) match {

  case (0, 0) => "fizz buzz"

  case (0, _) => "fizz"

  case (_, 0) => "buzz"

  case _ => n.toString  

}

for (n <- 1 to 20) 

 println(fizz_buzz(n))

val lst = List(None, Some(1), Some(2), None, Some(3)).flatten

def my_flatten(xs: List[Option[Int]]): List[Int] = 

 xs match {

   case Nil => Nil 

   case None::rest => my_flatten(rest)

   case Some(v)::rest => v :: my_flatten(rest)

 }

my_flatten(List(None, Some(1), Some(2), None, Some(3)))

// Recursion

//===========