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Return a function which interchanges two vectors.
npm install @stdlib/blas-tools-swap-factory
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var factory = require( '@stdlib/blas-tools-swap-factory' );
Returns a function which interchanges two vectors.
var dswap = require( '@stdlib/blas-base-dswap' ).ndarray;
var swap = factory( dswap, 'float64' );
The function has the following parameters:
- base: "base" function which interchanges two vectors. Must have an
ndarray
function signature (i.e., must support index offsets). - dtype: array data type. The function assumes that the data type of all provided arrays is the same.
Interchanges two vectors.
var Float64Array = require( '@stdlib/array-float64' );
var array = require( '@stdlib/ndarray-array' );
var dswap = require( '@stdlib/blas-base-dswap' ).ndarray;
var swap = factory( dswap, 'float64' );
var x = array( new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] ) );
var y = array( new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] ) );
swap( x, y );
var xbuf = x.data;
// returns <Float64Array>[ 2.0, 6.0, -1.0, -4.0, 8.0 ]
var ybuf = y.data;
// returns <Float64Array>[ 4.0, 2.0, -3.0, 5.0, -1.0 ]
The returned function has the following parameters:
- x: a non-zero-dimensional
ndarray
. Must have the same shape asy
. - y: a non-zero-dimensional
ndarray
. Must have the same shape asx
. - dim: dimension along which to interchange vectors. Must be a negative integer. Negative indices are resolved relative to the last array dimension, with the last dimension corresponding to
-1
. Default:-1
.
For multi-dimensional input ndarrays
, the function performs batched computation, such that the function interchanges each pair of vectors in x
and y
according to the specified dimension index.
var Float64Array = require( '@stdlib/array-float64' );
var array = require( '@stdlib/ndarray-array' );
var dswap = require( '@stdlib/blas-base-dswap' ).ndarray;
var swap = factory( dswap, 'float64' );
var opts = {
'shape': [ 2, 3 ]
};
var x = array( new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0, 3.0 ] ), opts );
var y = array( new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0, 2.0 ] ), opts );
var v1 = x.get( 0, 0 );
// returns 4.0
var v2 = y.get( 0, 0 );
// returns 2.0
swap( x, y );
v1 = x.get( 0, 0 );
// returns 2.0
v2 = y.get( 0, 0 );
// returns 4.0
For the returned function,
- Both input
ndarrays
must have the same shape. - Negative indices are resolved relative to the last
ndarray
dimension, with the last dimension corresponding to-1
. - For multi-dimensional
ndarrays
, batched computation effectively means swapping all ofx
with all ofy
; however, the choice ofdim
will significantly affect performance. For best performance, specify adim
which best aligns with the memory layout of providedndarrays
.
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var ndarray2array = require( '@stdlib/ndarray-to-array' );
var array = require( '@stdlib/ndarray-array' );
var dswap = require( '@stdlib/blas-base-dswap' ).ndarray;
var factory = require( '@stdlib/blas-tools-swap-factory' );
var swap = factory( dswap, 'float64' );
var opts = {
'dtype': 'float64'
};
var x = array( discreteUniform( 10, 0, 100, opts ), {
'shape': [ 5, 2 ]
});
console.log( ndarray2array( x ) );
var y = array( discreteUniform( 10, 0, 10, opts ), {
'shape': x.shape
});
console.log( ndarray2array( y ) );
swap( x, y );
console.log( ndarray2array( x ) );
console.log( ndarray2array( y ) );
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.
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