bijancn

def addThree(list: List[Int]): List[Int] = {
  var i = 0
  var result = new ListBuffer[Int]()
  while (i < list.length) {
    result += list(i) + 3
    i += 1
  }
  result.toList
}

bijancn

def countSpaces(word: List[Char]): Int = {
  var i = 0
  var count = 0
  while (i <= word.length) {
    if (word(i) == ' ') {
      count += 1
    }
    i += 1
  }
  count

bijancn

trait Functor[F[_]] {

  def map[A, B](fa: F[A])(f: A => B): F[B]

}

bijancn

def buyCoffees(creditCard: CreditCard, n: Int): (List[Coffee], Charge) = {
  val purchases = (1 to n).map(i => buyCoffee(creditCard, i))
  val (coffees, charges) = purchases.unzip
  val reducedCharge = charges.reduce((c1, c2) =>
      Charge(c1.creditCard, c1.amount + c2.amount))
  (coffees, reducedCharge)
}

bijancn

// Do you know this annoying feeling when you repeat a small function twice? Like

val x = X.doSomeStuff.notWorthRefactoring.butAnnoying
val y = Y.doSomeStuff.notWorthRefactoring.butAnnoying

// Now I can replace it with this satisfying pattern

val func = (_: String).doSomeStuff.notWorthRefactoring.butAnnoying
val (x, y) = (X, Y).bimap(func, func)

bijancn

package client

import chandu0101.scalajs.react.components.elementalui._
import japgolly.scalajs.react.component.Scala.Unmounted
import japgolly.scalajs.react.vdom.html_<^._
import japgolly.scalajs.react.{ BackendScope, Callback, ReactEventFromInput, ScalaComponent }

import scala.scalajs.js
import scala.scalajs.js.`|`