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Interchange two single-precision floating-point vectors.
import sswap from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-sswap@deno/mod.js';
Interchanges vectors x
and y
.
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@deno/mod.js';
var x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var y = new Float32Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
sswap( x.length, x, 1, y, 1 );
// x => <Float32Array>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
// y => <Float32Array>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
The function has the following parameters:
- N: number of indexed elements.
- x: first input
Float32Array
. - strideX: index increment for
x
. - y: second input
Float32Array
. - strideY: index increment for
y
.
The N
and stride parameters determine how values from the strided arrays are accessed at runtime. For example, to swap in reverse order every other value in x
with the first N
elements of y
,
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@deno/mod.js';
var x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y = new Float32Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
sswap( 3, x, -2, y, 1 );
// x => <Float32Array>[ 9.0, 2.0, 8.0, 4.0, 7.0, 6.0 ]
// y => <Float32Array>[ 5.0, 3.0, 1.0, 10.0, 11.0, 12.0 ]
Note that indexing is relative to the first index. To introduce an offset, use typed array
views.
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@deno/mod.js';
// Initial arrays...
var x0 = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y0 = new Float32Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
// Create offset views...
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Float32Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
// Swap in reverse order every other value from `x1` with `y1`...
sswap( 3, x1, -2, y1, 1 );
// x0 => <Float32Array>[ 1.0, 12.0, 3.0, 11.0, 5.0, 10.0 ]
// y0 => <Float32Array>[ 7.0, 8.0, 9.0, 6.0, 4.0, 2.0 ]
Interchanges vectors x
and y
using alternative indexing semantics.
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@deno/mod.js';
var x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var y = new Float32Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
sswap.ndarray( x.length, x, 1, 0, y, 1, 0 );
// x => <Float32Array>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
// y => <Float32Array>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
The function has the following additional parameters:
- offsetX: starting index for
x
. - offsetY: starting index for
y
.
While typed array
views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to swap every other value in x
starting from the second value with the last N
elements in y
where x[i] = y[n]
, x[i+2] = y[n-1]
,...,
import Float32Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float32@deno/mod.js';
var x = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y = new Float32Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
sswap.ndarray( 3, x, 2, 1, y, -1, y.length-1 );
// x => <Float32Array>[ 1.0, 12.0, 3.0, 11.0, 5.0, 10.0 ]
// y => <Float32Array>[ 7.0, 8.0, 9.0, 6.0, 4.0, 2.0 ]
import discreteUniform from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-array-discrete-uniform@deno/mod.js';
import sswap from 'https://cdn.jsdelivr.net/gh/stdlib-js/blas-base-sswap@deno/mod.js';
var opts = {
'dtype': 'float32'
};
var x = discreteUniform( 10, 0, 500, opts );
console.log( x );
var y = discreteUniform( x.length, 0, 255, opts );
console.log( y );
// Swap elements in `x` and `y` starting from the end of `y`:
sswap( x.length, x, 1, y, -1 );
console.log( x );
console.log( y );
@stdlib/blas-base/dswap
: interchange two double-precision floating-point vectors.@stdlib/blas-base/gswap
: interchange two vectors.@stdlib/blas-base/scopy
: copy values from x into y.@stdlib/blas-sswap
: interchange two single-precision floating-point vectors.
This package is part of stdlib, a standard library 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.
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