object
, class
, function
. You can’t define them on the root of a Scala file.Types
In Scala, there is 5 major types
Type | Literal | Description |
---|---|---|
Boolean | true, false | - |
Int | 3, 0x32 | 32 bits integer |
Float | 3.14f | 32 bits floating point |
Double | 3.14 | 64 bits floating point |
String | “Hello world” | UTF-16 string |
Variable
In scala, you can define variable by using the var keyword :
var number : Int = 0
number = 6
number += 4
println(number) // 10
Scala is able to infer the type automatically. You don’t need to specify it if the variable is assigned at declaration:
var number = 0 //The type of 'number' is inferred as a Int during the compilation.
But in fact, it’s not very common to use var
in Scala. In place of var
, the val
is very often used. val
allow you to define a constant value :
val two = 2
val three = 3
val six = two * three
Function
For example, if you want to define a function which return true if the sum of its two arguments is bigger than zero, you can do as following :
def sumBiggerThanZero(a: Float, b: Float): Boolean = {
return (a + b) > 0
}
Then to call this function you can do as following :
sumBiggerThanZero(2.3f, 5.4f)
You can also specify arguements by name, which is useful if you have many arguements :
sumBiggerThanZero(
a = 2.3f,
b = 5.4f
)
Return
The return keyword is not necessary. In absence of it, Scala take the last statement of your function as returned value.
def sumBiggerThanZero(a: Float, b: Float): Boolean = {
(a + b) > 0
}
Return type inferation
Scala is able to automatically infer the return type. You don’t need to specify it :
def sumBiggerThanZero(a: Float, b: Float) = {
(a + b) > 0
}
Curly braces
Scala function doesn’t require to have curly braces if your function contain only one statement :
def sumBiggerThanZero(a: Float, b: Float) = (a + b) > 0
Function that return nothing
If you want a function to return nothing, the return type should be set to Unit
. It’s equivalent to the C/C++ void.
def printer(): Unit = {
println("1234")
println("5678")
}
Arguements default value
You can specify a default value to each arguements of a function :
def sumBiggerThanZero(a: Float, b: Float = 0.0f) = {
(a + b) > 0
}
Apply
Functions named apply are special because you can call them without having to type their name :
class Array(){
def apply(index: Int): Int = index + 3
}
val array = new Array()
val value = array(4) //array(4) is interpreted as array.apply(4) and will return 7
This concept is also applicable for scala object
(static)
object MajorityVote{
def apply(value: Int): Int = ...
}
val value = MajorityVote(4) // Will call MajorityVote.apply(4)
Object
In scala, there is no static
keyword. In place of that, there is object
. Everything defined into an object
is static.
The following example define a static function named pow2 which take as parameter an floating point value and return a floating point as well.
object MathUtils{
def pow2(value: Float): Float = value*value
}
Then you can call it by writing :
MathUtils.pow2(42.0f)
Entry point (main)
The entry point of a Scala program (the main function) should be defined into an object as a function named main
.
object MyTopLevelMain{
def main(args: Array[String]) {
println("Hello world")
}
}
Class
The class syntax is very similar to the Java one. Imagine you want to define an Color class which take as construction parameter three Float value (r,g,b) :
class Color(r: Float, g: Float, b: Float){
def getGrayLevel(): Float = r * 0.3f + g * 0.4f + b *0.4f
}
Then to instantiate a the class from the previous example and use its gray function :
val blue = new Color(0, 0, 1)
val grayLevelOfBlue = blue.getGrayLevel()
Be careful, if you want to access a construction parameter of the class from the outside, this construction parameter should be defined as a val :
class Color(valr : Float, val g: Float, val b: Float){ ... }
...
val blue = new Color(0, 0, 1)
val redLevelOfBlue = blue.r
Inheritance
As an example, imagine you want to define an class Rectangle and a class Square which extends the class Shape :
class Shape{
def getArea(): Float
}
class Square(sideLength: Float) extends Shape {
override def getArea() = sideLength * sideLength
}
class Rectangle(width: Float, height: Float) extends Shape {
override def getArea() = width * height
}
Case class
Case class is an alternative way of declaring classes.
case class Rectangle(width: Float, height: Float) extends Shape {
override def getArea() = width * height
}
Then there is some differences between case class
and class
:
- case class doesn’t need the
new
keyword to be instantiated - construction parameters are accessible from the outside, you don’t need to define them as
val
.
In SpinalHDL, for some reason explains into the coding conventions, it’s in general recommended to use case class instead of class to have less typing and more coherency.
Templates / Type parameterization
Imagine you want to design a class which is a queue of a given datatype, in that case you need to provide a type parameter to the class :
class Queue[T](){
def push(that: T) : Unit = ...
def pop(): T = ...
}
If you want to restrict the T
type to be a sub class of a given type (for example Shape), you can use the <: Shape
syntax :
class Shape() {
def getArea(): Float
}
class Rectangle() extends Shape { ... }
class Queue[T <: Shape](){
def push(that: T): Unit = ...
def pop(): T = ...
}
The same is possible for functions :
def doSomething[T <: Shape](shape: T): Something = { shape.getArea() }