array-normalize - npm Package Compare versions

Comparing version 1.1.3 to 1.1.4

.eslintrc.json

@@ -0,0 +0,0 @@ {

index.js

@@ -34,3 +34,5 @@ 'use strict'
 			for (i = offset; i < l; i+=dim) {
-				arr[i] = range === 0 ? .5 : (arr[i] - min) / range
+				if (!isNaN(arr[i])) {
+					arr[i] = range === 0 ? .5 : (arr[i] - min) / range
+				}
 			}
@@ -37,0 +39,0 @@ }

package.json

 {
   "name": "array-normalize",
-  "version": "1.1.3",
+  "version": "1.1.4",
   "description": "Normalize array (possibly n-dimensional) to zero mean and unit variance",
@@ -5,0 +5,0 @@ "main": "index.js",

readme.md

@@ -11,2 +11,4 @@ # array-normalize  [![experimental](https://img.shields.io/badge/stability-unstable-yellow.svg)](http://github.com/badges/stability-badges) [![Build Status](https://img.shields.io/travis/dfcreative/array-normalize.svg)](https://travis-ci.org/dfcreative/array-normalize)
 normalize([0, 50, 100]) // [0, .5, 1]
+normalize([0, 0, .1, .2, 1, 2], 2) // [0, 0, .1, .1, 1, 1]
+normalize([0, .25, 1, .25], 2, [0, .5, 1, .5]) // [0, .5, 1, .5])
 ```
@@ -16,4 +18,8 @@
 
-### array = normalize(array, n=1, bounds?)
+### array = normalize(array, dimensions=1, bounds?)
 
-Normalizes n-dimensional array in-place using dimensions `n` as stride, ie. for 1d array the expected data layout is `[x, x, x, ...]` for 2d is `[x, y, x, y, ...]`, etc. Every dimension is normalized independently, so 2d array is normalized to unit square `[0, 0, 1, 1]`. Optionally pass `bounds` box if you know min/max values to optimize calculations.
+Normalizes n-dimensional array in-place using `dimensions` as stride, ie. for 1d array the expected data layout is `[x, x, x, ...]` for 2d is `[x, y, x, y, ...]`, etc.
+
+Every dimension is normalized independently, eg. 2d array is normalized to unit square `[0, 0, 1, 1]`.
+
+Optional `bounds` box can predefine min/max to optimize calculations.

test.js

@@ -24,1 +24,4 @@ 'use strict'
 assert.deepEqual(norm(f, 2, [0, .5, 1, .5]), [0, .5, 1, .5])
+
+let g = [0, 0, NaN, NaN, 1, 1]
+assert.deepEqual(norm(g, 2).map(v => isNaN(v) ? -1 : v), [0, 0, -1, -1, 1, 1])

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Improved metrics

Total package byte prevSize

5150

increased by7%

Lines of code

97

increased by4.3%

Number of lines in readme file

24

increased by33.33%

Worsened metrics

Number of package files

6

decreased by-14.29%

No dependency changes