ml-array-normed - npm Package Compare versions

Comparing version 1.3.4 to 1.3.5

CHANGELOG.md

@@ -6,2 +6,13 @@ # Change Log
 
+## [1.3.5](https://github.com/mljs/array/compare/ml-array-normed@1.3.4...ml-array-normed@1.3.5) (2021-03-03)
+
+
+### Bug Fixes
+
+* use TS namespace instead of modules for default exports ([#16](https://github.com/mljs/array/issues/16)) ([3b5c725](https://github.com/mljs/array/commit/3b5c7258df898ec5d35af70ac51570f956e1f9a8))
+
+
+
+
+
 ## [1.3.4](https://github.com/mljs/array/compare/ml-array-normed@1.3.3...ml-array-normed@1.3.4) (2021-02-23)
@@ -8,0 +19,0 @@

History.md

@@ -0,0 +0,0 @@ # 1.1.0 (2020-03-02)

lib/index.js

 'use strict';
 
-function _interopDefault (ex) { return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; }
+var isArray = require('is-any-array');
+var max = require('ml-array-max');
+var sum = require('ml-array-sum');
 
-var isArray = _interopDefault(require('is-any-array'));
-var max = _interopDefault(require('ml-array-max'));
-var sum = _interopDefault(require('ml-array-sum'));
+function _interopDefaultLegacy (e) { return e && typeof e === 'object' && 'default' in e ? e : { 'default': e }; }
 
+var isArray__default = /*#__PURE__*/_interopDefaultLegacy(isArray);
+var max__default = /*#__PURE__*/_interopDefaultLegacy(max);
+var sum__default = /*#__PURE__*/_interopDefaultLegacy(sum);
+
 function norm(input, options = {}) {
   const { algorithm = 'absolute', sumValue = 1, maxValue = 1 } = options;
-  if (!isArray(input)) {
+  if (!isArray__default['default'](input)) {
     throw new Error('input must be an array');
@@ -17,3 +21,3 @@ }
   if (options.output !== undefined) {
-    if (!isArray(options.output)) {
+    if (!isArray__default['default'](options.output)) {
       throw new TypeError('output option must be an array if specified');
@@ -40,3 +44,3 @@ }
     case 'max': {
-      let currentMaxValue = max(input);
+      let currentMaxValue = max__default['default'](input);
       if (currentMaxValue === 0) return input.slice(0);
@@ -50,3 +54,3 @@ const factor = maxValue / currentMaxValue;
     case 'sum': {
-      let sumFactor = sum(input) / sumValue;
+      let sumFactor = sum__default['default'](input) / sumValue;
       if (sumFactor === 0) return input.slice(0);
@@ -53,0 +57,0 @@ for (let i = 0; i < input.length; i++) {

package.json

 {
   "name": "ml-array-normed",
-  "version": "1.3.4",
+  "version": "1.3.5",
   "description": "Normalize the values of a given array",
@@ -27,6 +27,6 @@ "main": "lib/index.js",
     "is-any-array": "^0.1.0",
-    "ml-array-max": "^1.2.1",
+    "ml-array-max": "^1.2.2",
     "ml-array-sum": "^1.1.4"
   },
-  "gitHead": "55597eaa820f947d2c6eeffa7c5f807a5e4c94c8"
+  "gitHead": "047f2d11d174dad9b576649f676adfa2439fff15"
 }

README.md

@@ -0,0 +0,0 @@ # array-normed

src/__tests__/normed.test.js

@@ -0,0 +0,0 @@ import norm from '..';

src/index.js

@@ -0,0 +0,0 @@ import isArray from 'is-any-array';

types.d.ts

@@ -1,2 +0,2 @@
-declare module 'ml-array-normed' {
+declare namespace mlArrayNormed {
   export interface ArrayNormedOptions<T extends ArrayLike<number>> {
@@ -22,11 +22,12 @@ /**
   }
+}
 
-  /**
-   * Normalize the values of the given array.
-   */
-  function arrayNormed<T extends ArrayLike<number>>(
-    array: T,
-    options?: ArrayNormedOptions<T>,
-  ): number[];
-  export = arrayNormed;
-}
+/**
+ * Normalize the values of the given array.
+ */
+declare function mlArrayNormed<T extends ArrayLike<number>>(
+  array: T,
+  options?: mlArrayNormed.ArrayNormedOptions<T>,
+): number[];
+
+export = mlArrayNormed;

No alert changes

Improved metrics

Total package byte prevSize

15773

1.36%

Lines of code

283

1.07%

Dependency changes

• Updated

  ml-array-max@^1.2.2