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feat(maths): finishes calculate median #114

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Mar 15, 2023
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25 changes: 25 additions & 0 deletions Maths/CalculateMedian.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,25 @@
/**
* @function calculateMedian
* @description This function will find the median value of an array of numbers.
* @param {number[]} numbers Sorted array of numeric values.
* @return {number} The median of input numbers.
* @see https://en.wikipedia.org/wiki/Median
* @example calculateMedian([1, 2, 4, 5, 8]) = 4
* @example calculateMedian([1, 2, 4, 5]) = 3
*/

export const calculateMedian = (numbers: number[]): number => {
if (numbers.length < 1) {
throw new TypeError("Input array must contain at least one number.");
}

const totalNumbers = numbers.length;

if (totalNumbers % 2 === 0) {
let index = totalNumbers / 2;
return (numbers[index - 1] + numbers[index]) / 2;
} else {
let index = (totalNumbers + 1) / 2;
return numbers[index - 1];
}
};
23 changes: 23 additions & 0 deletions Maths/test/CalculateMedian.test.ts
Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
import { calculateMedian } from "../CalculateMedian";

describe("Tests for CalculateMedian", () => {
it("should be a function", () => {
expect(typeof calculateMedian).toEqual("function");
});

it("should throw error for invalid input", () => {
expect(() => calculateMedian([])).toThrowError(
"Input array must contain at least one number."
);
});

it("should return the median of an array of numbers - even length", () => {
const medianFunction = calculateMedian([1, 2, 3, 4]);
expect(medianFunction).toBe(2.5);
});

it("should return the median of an array of numbers - odd length", () => {
const medianFunction = calculateMedian([1, 2, 3, 4, 6, 8, 9]);
expect(medianFunction).toBe(4);
});
});