Lab 2. High order functions
Objectives:
- implement and use higher-order functions. A higher-order function takes other functions as parameter or returns them
- implement curry and uncurry functions, and how they should be properly used (review lecture).
Create a new Scala worksheet to write your solutions
2.1 Intro. Functions as parameters
2.1.1 Write a function apply
that takes an integer and return the result of the applied function on the given integer. Start from the code stub below:
def apply(n: Int, f: Int => Int): Int = { ??? }
2.1.2 Write a function doubler
that returns a function that doubles the input it receives (an integer). Start from the code stub below:
def doubler(): Int => Int = { ??? }
2.1.3 Create a function trycatch
that takes an integer and evaluates its value using the try function. If an error occurs (try function returns 0), the catch function will be called instead.
def trycatch(t: Int => Int, c: Int => Int)(x: Int): Int = { ??? }
2.1.4 Write a function realtrycatch
where t and c take no parameters and produce a result upon evaluation. If an error occurs (try function returns 0), the catch function will be called instead.
def realtrycatch(t : => Int, c: => Int): Int = { ??? }
2.2 Custom high order functions
2.2.1 Define the function foldWith
which uses an operation op
to reduce a range of integers to a value. For instance, given that op
is addition (+), the result of folding the range 1 to 3 will be 1+2+3=6. foldWith
should be curried (it will take the operation and return another function which expects the bounds).
def foldWith (op: (Int,Int) => Int)(start: Int, stop: Int): Int = { def tail_fold(crt: Int, acc: Int): Int = ??? ?? }
2.2.2 Define the function foldConditional
which extends foldWith
by also adding a predicate p: Int ⇒ Boolean
. foldConditional
will reduce only those elements of a range which satisfy the predicate.
def foldConditional(op: (Int,Int) => Int, p: Int => Boolean)(start: Int, stop: Int): Int = ???
2.2.3 Write a function foldMap
which takes values $ a_1, a_2, \ldots, a_k$ from a range and computes $ f(a_1)\;op\;f(a_2)\;op\;\ldots f(a_k)$ .
Use the apply
and foldWith
methods
def foldMap(op: (Int,Int) => Int, f: Int => Int)(start: Int, stop: Int): Int = ???
2.3 Curry vs Uncurry
2.3.1 Modify the function below so that it's curry and use it to calculate 5*3
def multiply(x:Int, y:Int): Int => x * y
2.3.2 Modify the function below so that it's curry and use it to compare 3 numbers and return the maximum
def compare(x: Int, y: Int, z: Int): Int = { if (x > y && x > z) x else if (y > x && y > z) y else z }
2.4 Function transformations
The graph of a function can undergo different geometric transformation such as scaling, shifting, rotating, mirroring and so on. The result of those transformation will also be a function that looks similarly to the original. In this exercice we will particularly work with lines. A line is a linear equation of the form $ f(x) = a*x + b$
2.4.1 Implement a function that shifts a line on Oy axis by a certain amount $ \Delta y$
def shiftOY(line: Double => Double, delta_y: Double): Double => Double = { ??? }
2.4.2 Implement a function that shifts a line on Ox axis by a certain amount $ \Delta x$
def shiftOX(line: Double => Double, delta_x: Double): Double => Double = { ??? }
2.4.3 Implement a function that checks if two lines intersect at an integer value from a given interval
def intersect(line1: Double => Double, line2: Double => Double)(start: Int, stop: Int): Boolean = { ??? }