Package Exports
- @stdlib/assert-is-ndarray-like
- @stdlib/assert-is-ndarray-like/dist
- @stdlib/assert-is-ndarray-like/dist/index.js
- @stdlib/assert-is-ndarray-like/lib/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/assert-is-ndarray-like) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
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isndarrayLike
Test if a value is ndarray-like.
Installation
npm install @stdlib/assert-is-ndarray-like
Usage
var isndarrayLike = require( '@stdlib/assert-is-ndarray-like' );
isndarrayLike( value )
Tests if a value is ndarray-like.
var ndarray = require( '@stdlib/ndarray-ctor' );
var arr = ndarray( 'generic', [ 0, 0, 0, 0 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
var bool = isndarrayLike( arr );
// returns true
A value is ndarray-like if a value is an object
with the following properties:
- dtype:
string
specifying a data type. - data:
object
pointing to an underlying data buffer. - shape: array-like
object
containing dimensions. - strides: array-like
object
containing stride lengths. - offset:
number
specifying the index offset. - order:
string
describing the memory layout. - ndims:
number
specifying the number of dimensions. - length:
number
specifying the total number of elements. - flags:
object
containing meta data. - get:
function
for retrieving elements. - set:
function
for setting elements.
Examples
var ndarray = require( '@stdlib/ndarray-ctor' );
var isndarrayLike = require( '@stdlib/assert-is-ndarray-like' );
var arr = ndarray( 'generic', [ 0, 0, 0, 0 ], [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
var bool = isndarrayLike( arr );
// returns true
bool = isndarrayLike( [ 1, 2, 3, 4 ] );
// returns false
bool = isndarrayLike( {} );
// returns false
bool = isndarrayLike( null );
// returns false
Notice
This package is part of 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, see the main project repository.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.