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Assign element values from a broadcasted input array to corresponding elements in an output array.
To use in Observable,
sliceAssign = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/array-base-fancy-slice-assign@umd/browser.js' )To vendor stdlib functionality and avoid installing dependency trees for Node.js, you can use the UMD server build:
var sliceAssign = require( 'path/to/vendor/umd/array-base-fancy-slice-assign/index.js' )To include the bundle in a webpage,
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-base-fancy-slice-assign@umd/browser.js"></script>If no recognized module system is present, access bundle contents via the global scope:
<script type="text/javascript">
(function () {
window.sliceAssign;
})();
</script>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 trueThe 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.
- 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).
<!DOCTYPE html>
<html lang="en">
<body>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-zero-to@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-zeros@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/slice-ctor@umd/browser.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/gh/stdlib-js/array-base-fancy-slice-assign@umd/browser.js"></script>
<script type="text/javascript">
(function () {
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 ]
})();
</script>
</body>
</html>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.
See LICENSE.
Copyright © 2016-2024. The Stdlib Authors.
