ndarray-base-normalize-indices

Normalize a list of indices to the interval [0,max].

https://github.com/stdlib-js/ndarray-base-normalize-indices

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array base idx ind index javascript multidimensional ndarray node node-js nodejs normalize stdlib subscript types util utilities utility utils
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Normalize a list of indices to the interval [0,max].

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array base idx ind index javascript multidimensional ndarray node node-js nodejs normalize stdlib subscript types util utilities utility utils
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normalizeIndices

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Normalize a list of indices to the interval [0,max].

## Installation ```bash npm install @stdlib/ndarray-base-normalize-indices ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships. To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
## Usage ```javascript var normalizeIndices = require( '@stdlib/ndarray-base-normalize-indices' ); ``` #### normalizeIndices( indices, max ) Normalizes a list of indices to the interval `[0,max]`. ```javascript var idx = normalizeIndices( [ 2, -5 ], 10 ); // returns [ 2, 6 ] ``` If provided an out-of-bounds index, the function returns `null`. ```javascript var idx = normalizeIndices( [ 15, -15 ], 10 ); // returns null ```
## Notes - The function mutates the input array, even when provided an out-of-bounds index. If mutation is undesired, copy the input array before calling this function. - During normalization, a negative index is converted to a nonnegative index according to `max + idx + 1`. If, after normalization, the resolved index is still negative, the value is considered out-of-bounds.
## Examples ```javascript var discreteUniform = require( '@stdlib/random-array-discrete-uniform' ); var normalizeIndices = require( '@stdlib/ndarray-base-normalize-indices' ); // Generate a list of random indices: var idx1 = discreteUniform( 100, -20, 20, { 'dtype': 'generic' }); // Normalize each index to the interval `[0, 15]`: var idx2 = idx1.slice(); var out = normalizeIndices( idx2, 15 ); // Check whether one or more indices was invalid: if ( out === null ) { console.log( 'One or more indices was invalid.' ); } // Print the results... var i; for ( i = 0; i < idx1.length; i++ ) { console.log( '%d => [%d, %d] => %d', idx1[ i ], 0, 15, idx2[ i ] ); } ```
* * * ## Notice This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more. For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib]. #### Community [![Chat][chat-image]][chat-url] --- ## License See [LICENSE][stdlib-license]. ## Copyright Copyright © 2016-2025. The Stdlib [Authors][stdlib-authors].

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Standard library for JavaScript.

Citation (CITATION.cff)

cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
  metadata from this file.

type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

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