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sliceAssign

Assign element values from a broadcasted input array to corresponding elements in an output array.

Installation

npm install @stdlib/array-base-fancy-slice-assign

Alternatively,

• To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm branch (see README).
• If you are using Deno, visit the deno branch (see README for usage intructions).
• For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the umd branch (see README).

The branches.md 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

var sliceAssign = require( '@stdlib/array-base-fancy-slice-assign' );

slice( x, y, s, strict )

Assigns element values from a broadcasted input array to corresponding elements in an output array.

var Slice = require( '@stdlib/slice-ctor' );

var x = [ 1, 2, 3, 4 ];
var y = [ 0, 0, 0, 0, 0, 0, 0, 0 ];

var s = new Slice( null, null, -2 );
// returns <Slice>

var out = sliceAssign( x, y, s, false );
// returns [ 0, 4, 0, 3, 0, 2, 0, 1 ]

var bool = ( out === y );
// returns true

The function supports the following parameters:

• x: input array.
• y: output array.
• s: slice object specifying the output array slice.
• strict: boolean indicating whether to enforce strict bounds checking.

Notes

• The input array must be broadcast compatible with the output array slice (i.e., contain only one element or the same number of elements as in the slice).
• The input array must have a data type which can be safely cast to the output array data type. Floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., element values from a 'float64' input array can be assigned to corresponding elements in a 'float32' output array).

Examples

var zeroTo = require( '@stdlib/array-zero-to' );
var zeros = require( '@stdlib/array-zeros' );
var Slice = require( '@stdlib/slice-ctor' );
var sliceAssign = require( '@stdlib/array-base-fancy-slice-assign' );

var x = zeroTo( 10, 'generic' );
// returns [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ]

var y = zeros( 10, 'generic' );
// returns [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]

var s = new Slice();
var out = sliceAssign( x, y, s, false );
// returns [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ]

x = zeroTo( 5, 'generic' );
// returns [ 0, 1, 2, 3, 4 ]

y = zeros( 10, 'generic' );
s = new Slice( null, null, -2 );
out = sliceAssign( x, y, s, false );
// returns [ 0, 4, 0, 3, 0, 2, 0, 1, 0, 0 ]

x = zeroTo( 5, 'generic' );
// returns [ 0, 1, 2, 3, 4 ]

y = zeros( 10, 'generic' );
s = new Slice( -2, null, -2 );
out = sliceAssign( x, y, s, false );
// returns [ 4, 0, 3, 0, 2, 0, 1, 0, 0, 0 ]

x = zeroTo( 6, 'generic' );
// returns [ 0, 1, 2, 3, 4, 5 ]

y = zeros( 10, 'generic' );
s = new Slice( 2, -2 );
out = sliceAssign( x, y, s, false );
// returns [ 0, 0, 0, 1, 2, 3, 4, 5, 0, 0 ]

x = zeroTo( 3, 'generic' );
// returns [ 0, 1, 2 ]

y = zeros( 10, 'generic' );
s = new Slice( 2, 5 );
out = sliceAssign( x, y, s, false );
// returns [ 0, 0, 0, 1, 2, 0, 0, 0, 0, 0 ]

x = zeroTo( 3, 'generic' );
// returns [ 0, 1, 2 ]

y = zeros( 10, 'generic' );
s = new Slice( 4, 1, -1 );
out = sliceAssign( x, y, s, false );
// returns [ 0, 0, 2, 1, 0, 0, 0, 0, 0, 0 ]

x = zeroTo( 5, 'generic' );
// returns [ 0, 1, 2, 3, 4 ]

y = zeros( 10, 'generic' );
s = new Slice( 5 );
out = sliceAssign( x, y, s, false );
// returns [ 0, 1, 2, 3, 4, 0, 0, 0, 0, 0 ]

x = zeroTo( 5, 'generic' );
// returns [ 0, 1, 2, 3, 4 ]

y = zeros( 10, 'generic' );
s = new Slice( 5, null );
out = sliceAssign( x, y, s, false );
// returns [ 0, 0, 0, 0, 0, 0, 1, 2, 3, 4 ]

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.