Convert an ndarray-like object to an object likely to have the same "shape".
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> Convert an [ndarray][@stdlib/ndarray/ctor]-like object to an object likely to have the same "shape".
``bash`
npm install @stdlib/ndarray-base-ndarraylike2object
`javascript`
var ndarraylike2object = require( '@stdlib/ndarray-base-ndarraylike2object' );
#### ndarraylike2object( x )
Converts an [ndarray][@stdlib/ndarray/ctor]-like object to an object likely to have the same "shape".
`javascript
var array = require( '@stdlib/ndarray-array' );
var arr = array( [ [ 1, 2 ], [ 3, 4 ] ] );
var obj = ndarraylike2object( arr );
// returns {...}
`
- The returned object has the following properties:
- ref: reference to the original [ndarray][@stdlib/ndarray/ctor]-like object.boolean
- dtype: underlying data type.
- data: data buffer.
- length: number of elements.
- shape: array dimensions.
- strides: array strides.
- offset: index offset.
- order: order.
- accessorProtocol: indicating whether the data buffer supports the get/set protocol (i.e., uses accessors for getting and setting elements).
- accessors: a two-element array whose first element is an accessor for retrieving an ndarray element and whose second element is an accessor for setting an ndarray element.
- The getter accessor accepts two arguments:
- data: data buffer.
- idx: element index.
- The setter accessor accepts three arguments:
- data: data buffer.
- idx: element index.
- value: value to set.
- This function is intended as a potential performance optimization. In V8, for example, even if two objects share common properties, if those properties were added in different orders or if one object has additional properties not shared by the other object, then those objects will have different "hidden" classes. If a function is provided many objects having different "shapes", some JavaScript VMs (e.g., V8) will consider the function "megamorphic" and fail to perform various runtime optimizations. Accordingly, the intent of this function is to standardize the "shape" of the object holding [ndarray][@stdlib/ndarray/ctor] meta data to ensure that internal functions operating on ndarrays are provided consistent argument "shapes".
`javascript
var array = require( '@stdlib/ndarray-array' );
var ndarraylike2object = require( '@stdlib/ndarray-base-ndarraylike2object' );
// Create an ndarray:
var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
// Convert to a standardized object:
var obj = ndarraylike2object( x );
// returns {...}
// Print various properties:
console.log( 'dtype: %s', obj.dtype );
console.log( 'ndims: %d', obj.shape.length );
console.log( 'numel: %d', obj.length );
console.log( 'shape: [ %s ]', obj.shape.join( ', ' ) );
console.log( 'strides: [ %s ]', obj.strides.join( ', ' ) );
console.log( 'offset: %d', obj.offset );
console.log( 'order: %s', obj.order );
console.log( 'accessor protocol: %s', obj.accessorProtocol );
`
*
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].
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