What steps do I need to take in order to retrieve this data

I'm currently working on a challenge from codesmith's CSX program. The task at hand is to develop a function that receives two callbacks as parameters and returns the callback function that executes successfully with any given input. However, I am struggling to understand how to access the input data within the functions provided. Apologies if my explanation is unclear.

function eitherCallback(cb1, cb2) {
  // YOUR SOLUTION HERE
  
}

// Please attempt to solve the problem without modifying the code below
function filterArray(array, callback) {
  const newArray = [];
  for (let i = 0; i < array.length; i += 1) {
    if (callback(array[i], i, array)) newArray.push(array[i]);
  }
  return newArray;
}

const arrOfNums = [10, 35, 105, 9];
const integerSquareRoot = n => Math.sqrt(n) % 1 === 0;
const over100 = n => n > 100;
const intSqRtOrOver100 = eitherCallback(integerSquareRoot, over100);
console.log(filterArray(arrOfNums, intSqRtOrOver100)); // expected output: [105, 9]

Answer №1

To achieve the desired outcome, you simply need to modify eitherCallback so that it returns a function that evaluates whether an array item satisfies either cb1 or cb2:

function eitherCallback(cb1, cb2) {
  return item => cb1(item) || cb2(item);
}

//do not edit below code
function filterArray(array, callback) {
  const newArray = [];
  for (let i = 0; i < array.length; i += 1) {
    if (callback(array[i], i, array)) newArray.push(array[i]);
  }
  return newArray;
}

const arrOfNums = [10, 35, 105, 9];
const integerSquareRoot = n => Math.sqrt(n) % 1 === 0;
const over100 = n => n > 100;
const intSqRtOrOver100 = eitherCallback(integerSquareRoot, over100);
console.log(filterArray(arrOfNums, intSqRtOrOver100)); // should log: [105, 9]

An alternate perspective is to consider using two callbacks to filter an array based on whether an item meets the criteria of either one:

arr.filter(
  item => cb1(item) || cb2(item)
);

This concept is essentially the same, but with additional layers of abstraction for added complexity.

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