ml-array-normed - npm Package Compare versions

Comparing version 1.2.0 to 1.3.0

CHANGELOG.md

		@@ -6,2 +6,13 @@ # Change Log

		# [1.3.0](https://github.com/mljs/array/compare/ml-array-normed@1.2.0...ml-array-normed@1.3.0) (2020-04-17)


		### Features

		* add sumValue in normed ([a6e60c5](https://github.com/mljs/array/commit/a6e60c5d6e399aa3f24c30485d1be0b8bb373d1e))





		# [1.2.0](https://github.com/mljs/array/compare/ml-array-normed@1.0.3...ml-array-normed@1.2.0) (2020-04-02)
		@@ -8,0 +19,0 @@

package.json

		{
		"name": "ml-array-normed",
		"version": "1.2.0",
		"version": "1.3.0",
		"description": "Get a normed array in an array",
		@@ -26,5 +26,5 @@ "main": "lib/index.js",
		"ml-array-max": "^1.1.2",
		"ml-array-sum": "^1.1.2"
		"ml-array-sum": "^1.1.3"
		},
		"gitHead": "767a39f38806810ec11bf3676948999500e35a36"
		"gitHead": "f4d819343eda4106db474597986b1297d608c8f4"
		}

src/__tests__/normed.test.js

		@@ -49,2 +49,22 @@ import norm from '..';

		it('should return the norm algorithm=sum sumValue=5', () => {
		expect(norm([0], { algorithm: 'sum', sumValue: 5 })).toStrictEqual([0]);
		expect(norm([0, 0], { algorithm: 'sum', sumValue: 5 })).toStrictEqual([
		0,
		0,
		]);
		expect(norm([-1, 1], { algorithm: 'sum', sumValue: 5 })).toStrictEqual([
		-1,
		1,
		]);
		expect(norm([-1, 3], { algorithm: 'sum', sumValue: 5 })).toStrictEqual([
		-2.5,
		7.5,
		]);
		expect(norm([1, 3], { algorithm: 'sum', sumValue: 5 })).toStrictEqual([
		1.25,
		3.75,
		]);
		});

		it('should throw on invalid value', () => {
		@@ -51,0 +71,0 @@ expect(() => norm()).toThrow(/input must be an array/);

src/index.js

		@@ -10,2 +10,3 @@ import isArray from 'is-any-array';
		* @param {number} [options.maxValue=1] new max value for algo max
		* @param {number} [options.sumValue=1] new max value for algo absolute and sum
		* @param {Array} [options.output=[]] specify the output array, can be the input array for in place modification
		@@ -15,3 +16,3 @@ * @return {number}
		export default function norm(input, options = {}) {
		const { algorithm = 'absolute', maxValue = 1 } = options;
		const { algorithm = 'absolute', maxValue = 1, sumValue = 1 } = options;
		if (!isArray(input)) {
		@@ -37,3 +38,3 @@ throw new Error('input must be an array');
		case 'absolute': {
		let absoluteSumValue = absoluteSum(input);
		let absoluteSumValue = absoluteSum(input) / sumValue;
		if (absoluteSumValue === 0) return input.slice(0);
		@@ -55,6 +56,6 @@ for (let i = 0; i < input.length; i++) {
		case 'sum': {
		let sumValue = sum(input);
		if (sumValue === 0) return input.slice(0);
		let sumFactor = sum(input) / sumValue;
		if (sumFactor === 0) return input.slice(0);
		for (let i = 0; i < input.length; i++) {
		output[i] = input[i] / sumValue;
		output[i] = input[i] / sumFactor;
		}
		@@ -61,0 +62,0 @@ return output;

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