Skip to content
Draft
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
187 changes: 187 additions & 0 deletions lib/node_modules/@stdlib/blas/tools/copy-factory/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,187 @@
<!--

@license Apache-2.0

Copyright (c) 2024 The Stdlib Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

-->

# factory

> Return a function which interchanges two vectors.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var factory = require( '@stdlib/blas/tools/swap-factory' );
```

#### factory( base, dtype )

Returns a function which interchanges two vectors.

```javascript
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.

#### swap( x, y\[, dim] )

Interchanges two vectors.

```javascript
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`][@stdlib/ndarray/ctor]. Must have the same shape as `y`.
- **y**: a non-zero-dimensional [`ndarray`][@stdlib/ndarray/ctor]. Must have the same shape as `x`.
- **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`][@stdlib/ndarray/ctor], the function performs batched computation, such that the function interchanges each pair of vectors in `x` and `y` according to the specified dimension index.

```javascript
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
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

For the returned function,

- Both input [`ndarrays`][@stdlib/ndarray/ctor] must have the same shape.
- Negative indices are resolved relative to the last [`ndarray`][@stdlib/ndarray/ctor] dimension, with the last dimension corresponding to `-1`.
- For multi-dimensional [`ndarrays`][@stdlib/ndarray/ctor], batched computation effectively means swapping all of `x` with all of `y`; however, the choice of `dim` will significantly affect performance. For best performance, specify a `dim` which best aligns with the [memory layout][@stdlib/ndarray/orders] of provided [`ndarrays`][@stdlib/ndarray/ctor].

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
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 ) );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor

[@stdlib/ndarray/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders

</section>

<!-- /.links -->
Original file line number Diff line number Diff line change
@@ -0,0 +1,100 @@
/**
* @license Apache-2.0
*
* Copyright (c) 2024 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

'use strict';

// MODULES //

var bench = require( '@stdlib/bench' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var uniform = require( '@stdlib/random/array/uniform' );
var array = require( '@stdlib/ndarray/array' );
var dcopy = require( '@stdlib/blas/base/dcopy' ).ndarray;
var pkg = require( './../package.json' ).name;
var factory = require( './../lib' );


// VARIABLES //

var opts = {
'dtype': 'float64'
};
var copy = factory( dcopy, opts.dtype );


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = array( uniform( len, -100.0, 100.0, opts ) );
var y = array( uniform( len, -100.0, 100.0, opts ) );
return benchmark;

function benchmark( b ) {
var d;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
d = copy( x, y );
if ( isnan( d.data[ i%len ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();
if ( isnan( d.data[ i%len ] ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

/**
* Main execution sequence.
*
* @private
*/
function main() {
var len;
var min;
var max;
var f;
var i;

min = 1; // 10^min
max = 6; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( pkg+':len='+len, f );
}
}

main();
Loading
Loading