Working With Type Parameters in Scala

Enhancing code flexibility and enabling generic programming for diverse data types.
def myGenericAdditionFun[T](x: T, y: T): Int = 
    // Casting for x
    val myMatchX = x match
        case x: Int => x
        case x: Double => x.toInt
        case x: String => x.toInt
        case x: Char => x.asDigit
        case x: Boolean => if (x) 1 else 0

    // Casting for x
    val myMatchY = y match
        case y: Int => y
        case y: Double => y.toInt
        case y: String => y.toInt
        case y: Char => y.asDigit
        case y: Boolean => if (y) 1 else 0

    // Return addition
    myMatchX + myMatchY

myGenericAdditionFun(1, 2) 			// res0: Int = 3
myGenericAdditionFun(1.1, 2.2) 		// res1: Int = 3
myGenericAdditionFun('1', '2') 		// res2: Int = 3
myGenericAdditionFun("1", "2") 		// res3: Int = 3
myGenericAdditionFun(true, false) 	// res4: Int = 1
myGenericAdditionFun(true, true) 	// res5: Int = 2
myGenericAdditionFun(false, false) 	// res6: Int = 0
myGenericAdditionFun(1, '2') 		// res7: Int = 3
myGenericAdditionFun("1", '2') 		// res8: Int = 3
myGenericAdditionFun(1.4, '2') 		// res9: Int = 3
Scala
Data Analysis Expressions (DAX) is a domain-specific language created by Microsoft and used in various Microsoft products, particularly in…
In our previous article, What Is Julia, and Why It Matters?, we discussed why Julia is so relevant today and…
A couple of months ago, I had an idea; to create a place where people could learn Data Science…
Programming is an essential tool for innovation in the digital age, with businesses and organizations across all industries relying…

Request Full Resume