import assert from 'assert' import approx from '../../../tools/approx' import math from '../../../src/mainBundle' const BigNumber = math.type.BigNumber const Complex = math.type.Complex const DenseMatrix = math.type.DenseMatrix const Unit = math.type.Unit const std = math.std describe('std', function () { it('should return the standard deviation of numbers', function () { assert.strictEqual(std(5), 0) assert.strictEqual(std(2, 4, 6), 2) }) it('should return the standard deviation of big numbers', function () { assert.deepStrictEqual(std(new BigNumber(2), new BigNumber(4), new BigNumber(6)), new math.type.BigNumber(2)) }) it('should return the standard deviation of complex numbers', function () { // approx.deepEqual(std(new Complex(2, 4), new Complex(4, 2)), new Complex(1.41421, -1.41421)) }) it('should return the standard deviation of mixed numbers and complex numbers', function () { approx.deepEqual(std(2, new Complex(6, 4)), new Complex(2.82842, 2.82842)) }) it('should return the standard deviation from an array', function () { assert.strictEqual(std([2, 4, 6]), 2) assert.strictEqual(std([5]), 0) }) it('should return the uncorrected variance from an array', function () { assert.strictEqual(std([2, 4], 'uncorrected'), 1) assert.strictEqual(std([2, 4, 6, 8], 'uncorrected'), Math.sqrt(5)) }) it('should return the biased standard deviation from an array', function () { assert.strictEqual(std([2, 8], 'biased'), Math.sqrt(6)) assert.strictEqual(std([2, 4, 6, 8], 'biased'), 2) }) it('should return NaN if any of the inputs contains NaN', function () { assert(isNaN(std([NaN]))) assert(isNaN(std([1, NaN]))) assert(isNaN(std([NaN, 1]))) assert(isNaN(std([1, 3, NaN]))) assert(isNaN(std([NaN, NaN, NaN]))) assert(isNaN(std(NaN, NaN, NaN))) }) it('should throw an error in case of unknown type of normalization', function () { assert.throws(function () { std([2, 8], 'foo') }, /Unknown normalization/) }) it('should return the standard deviation from an 1d matrix', function () { assert.strictEqual(std(new DenseMatrix([2, 4, 6])), 2) assert.strictEqual(std(new DenseMatrix([5])), 0) }) it('should return the standard deviation element from a 2d array', function () { assert.deepStrictEqual(std([ [2, 4, 6], [1, 3, 5] ]), Math.sqrt(3.5)) }) it('should return the standard deviation element from a 2d matrix', function () { assert.deepStrictEqual(std(new DenseMatrix([ [2, 4, 6], [1, 3, 5] ])), Math.sqrt(3.5)) }) it('should throw an error if called with invalid number of arguments', function () { assert.throws(function () { std() }) }) it('should throw an error if called with invalid type of arguments', function () { assert.throws(function () { std(new Date(), 2) }, /Cannot calculate std, unexpected type of argument/) assert.throws(function () { std(new Unit(5, 'cm'), new Unit(10, 'cm')) }, /Cannot calculate std, unexpected type of argument/) assert.throws(function () { std(2, 3, null) }, /Cannot calculate std, unexpected type of argument/) assert.throws(function () { std([2, 3, null]) }, /Cannot calculate std, unexpected type of argument/) assert.throws(function () { std([2, 3, 4], 5) }, /Unknown normalization "5"/) }) it('should throw an error if called with an empty array', function () { assert.throws(function () { std([]) }) }) it('should LaTeX std', function () { const expression = math.parse('std(1,2,3)') assert.strictEqual(expression.toTex(), '\\mathrm{std}\\left(1,2,3\\right)') }) })