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Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.

34083 0 0 JavaScript
import { mean } from '../AverageMean'
describe('Tests for average mean', () => {
it('should be a function', () => {
expect(typeof mean).toEqual('function')
})
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it('should throw error for invalid input', () => {
expect(() => mean(123)).toThrow()
})
it('should return the mean of an array of numbers', () => {
const meanFunction = mean([1, 2, 4, 5])
expect(meanFunction).toBe(3)
})
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it('should return the mean of an array of numbers', () => {
const meanFunction = mean([10, 40, 100, 20])
expect(meanFunction).toBe(42.5)
})
it('should return the number itself for a single-element array', () => {
const result = mean([5])
expect(result).toBe(5)
})
it('should throw error for empty array', () => {
expect(() => mean([])).toThrow()
})
it('should throw error for an array containing null', () => {
expect(() => mean([1, 2, null])).toThrow()
})
it('should throw error for an array containing booleans', () => {
expect(() => mean([1, 2, true])).toThrow()
})
it('should throw error for an array containing strings', () => {
expect(() => mean([1, 2, 'asd'])).toThrow()
})
it('should return the mean of an array with negative numbers', () => {
const result = mean([-1, -2, -3, -4])
expect(result).toBe(-2.5)
})
it('should return the mean of an array with floating-point numbers', () => {
const result = mean([1.5, 2.5, 3.5])
expect(result).toBe(2.5)
})
it('should return 0 for an array with zeros', () => {
const result = mean([0, 0, 0])
expect(result).toBe(0)
})
it('should handle very large numbers correctly', () => {
const result = mean([1000000000, 2000000000, 3000000000])
expect(result).toBe(2000000000)
})
it('should return correct mean for an array with integers and floating-point numbers', () => {
const result = mean([1, 2.5, 3])
expect(result).toBeCloseTo(2.1667, 4)
})
})