Generic classes (or traits) take a type as a parameter within square brackets [...]
.
The Scala convention is to use a single letter (like A
) to name those type parameters.
The type can then be used inside the class as needed for method instance parameters, or on return types:
// here we declare the type parameter A
// v
class Stack[A] {
private var elements: List[A] = Nil
// ^
// Here we refer to the type parameter
// v
def push(x: A): Unit =
elements = elements.prepended(x)
def peek: A = elements.head
def pop(): A = {
val currentTop = peek
elements = elements.tail
currentTop
}
}
// here we declare the type parameter A
// v
class Stack[A]:
private var elements: List[A] = Nil
// ^
// Here we refer to the type parameter
// v
def push(x: A): Unit =
elements = elements.prepended(x)
def peek: A = elements.head
def pop(): A =
val currentTop = peek
elements = elements.tail
currentTop
This implementation of a Stack
class takes any type as a parameter.
The beauty of generics is that you can now create a Stack[Int]
, Stack[String]
, and so on, allowing you to reuse your implementation of a Stack
for arbitrary element types.
This is how you create and use a Stack[Int]
:
val stack = new Stack[Int]
stack.push(1)
stack.push(2)
println(stack.pop()) // prints 2
println(stack.pop()) // prints 1
val stack = Stack[Int]
stack.push(1)
stack.push(2)
println(stack.pop()) // prints 2
println(stack.pop()) // prints 1
See the Variance section for details on how to express variance with generic types.
Contributors to this page:
Contents
- Introduction
- Scala Features
- Why Scala 3?
- A Taste of Scala
- Hello, World!
- The REPL
- Variables and Data Types
- Control Structures
- Domain Modeling
- Methods
- First-Class Functions
- Singleton Objects
- Collections
- Contextual Abstractions
- Toplevel Definitions
- Summary
- A First Look at Types
- String Interpolation
- Control Structures
- Domain Modeling
- Tools
- OOP Modeling
- FP Modeling
- Methods
- Method Features
- Main Methods in Scala 3
- Summary
- Functions
- Anonymous Functions
- Function Variables
- Partial Functions
- Eta-Expansion
- Higher-Order Functions
- Write Your Own map Method
- Creating a Method That Returns a Function
- Summary
- Packaging and Imports
- Scala Collections
- Collections Types
- Collections Methods
- Summary
- Functional Programming
- What is Functional Programming?
- Immutable Values
- Pure Functions
- Functions Are Values
- Functional Error Handling
- Summary
- Types and the Type System
- Inferred Types
- Generics
- Intersection Types
- Union Types
- Algebraic Data Types
- Variance
- Opaque Types
- Structural Types
- Dependent Function Types
- Other Types
- Contextual Abstractions
- Extension Methods
- Context Parameters
- Context Bounds
- Given Imports
- Type Classes
- Multiversal Equality
- Implicit Conversions
- Summary
- Concurrency
- Scala Tools
- Building and Testing Scala Projects with sbt
- Worksheets
- Interacting with Java
- Scala for Java Developers
- Scala for JavaScript Developers
- Scala for Python Developers
- Where To Go Next