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Original file line number Diff line number Diff line change
@@ -0,0 +1,133 @@
<!--

@license Apache-2.0

Copyright (c) 2026 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.

-->

# appendSingletonDimensions

> Append singleton dimensions.

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="usage">

## Usage

<!-- eslint-disable id-length -->

```javascript
var appendSingletonDimensions = require( '@stdlib/ndarray/base/append-singleton-dimensions' );
```

#### appendSingletonDimensions( x, n, writable )

Returns an ndarray with a specified number of appended singleton dimensions (i.e., dimensions whose size is equal to `1`).

<!-- eslint-disable id-length -->

```javascript
var array = require( '@stdlib/ndarray/array' );

// Create a 2x2 ndarray:
var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
// returns <ndarray>[ [ 1, 2 ], [ 3, 4 ] ]

// Append singleton dimensions:
var y = appendSingletonDimensions( x, 3, false );
// returns <ndarray>[ [ [ [ [ 1 ] ] ], [ [ [ 2 ] ] ] ], [ [ [ [ 3 ] ] ], [ [ [ 4 ] ] ] ] ]
```

The function accepts the following arguments:

- **x**: input ndarray.
- **n**: number of singleton dimensions to append.
- **writable**: boolean indicating whether a returned ndarray should be writable.

</section>

<!-- /.usage -->

<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

## Notes

- The `writable` parameter **only** applies to ndarray constructors supporting **read-only** instances.

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

<!-- eslint-disable id-length -->

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

```javascript
var uniform = require( '@stdlib/random/uniform' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var appendSingletonDimensions = require( '@stdlib/ndarray/base/append-singleton-dimensions' );

var x = uniform( [ 3, 3, 3 ], -10.0, 10.0 );
console.log( ndarray2array( x ) );

var y = appendSingletonDimensions( x, 3, false );
console.log( ndarray2array( y ) );
```

</section>

<!-- /.examples -->

<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="references">

</section>

<!-- /.references -->

<!-- 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">

</section>

<!-- /.links -->
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 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 Float64Array = require( '@stdlib/array/float64' );
var ndarrayBase = require( '@stdlib/ndarray/base/ctor' );
var ndarray = require( '@stdlib/ndarray/ctor' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var appendSingletonDimensions = require( './../lib' );


// MAIN //

bench( format( '%s::base_ndarray,2d', pkg ), function benchmark( b ) {
var strides;
var values;
var buffer;
var offset;
var dtype;
var shape;
var order;
var out;
var i;

dtype = 'float64';
buffer = new Float64Array( 2 );
shape = [ 2 ];
strides = [ 1 ];
offset = 0;
order = 'row-major';

values = [
ndarrayBase( dtype, buffer, shape, strides, offset, order ),
ndarrayBase( dtype, buffer, shape, strides, offset, order ),
ndarrayBase( dtype, buffer, shape, strides, offset, order ),
ndarrayBase( dtype, buffer, shape, strides, offset, order ),
ndarrayBase( dtype, buffer, shape, strides, offset, order )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = appendSingletonDimensions( values[ i%values.length ], 1, false );
if ( typeof out !== 'object' ) {
b.fail( 'should return an object' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( format( '%s::ndarray,2d', pkg ), function benchmark( b ) {
var strides;
var values;
var buffer;
var offset;
var dtype;
var shape;
var order;
var out;
var i;

dtype = 'float64';
buffer = new Float64Array( 2 );
shape = [ 2 ];
strides = [ 1 ];
offset = 0;
order = 'row-major';

values = [
ndarray( dtype, buffer, shape, strides, offset, order ),
ndarray( dtype, buffer, shape, strides, offset, order ),
ndarray( dtype, buffer, shape, strides, offset, order ),
ndarray( dtype, buffer, shape, strides, offset, order ),
ndarray( dtype, buffer, shape, strides, offset, order )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = appendSingletonDimensions( values[ i%values.length ], 1, false );
if ( typeof out !== 'object' ) {
b.fail( 'should return an object' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});
Original file line number Diff line number Diff line change
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 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 array = require( '@stdlib/ndarray/array' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var appendSingletonDimensions = require( './../lib' );


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} ndims - number of singleton dimensions
* @returns {Function} benchmark function
*/
function createBenchmark( ndims ) {
var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
return benchmark;

/**
* Benchmark function.
*
* @private
* @param {Benchmark} b - benchmark instance
*/
function benchmark( b ) {
var out;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = appendSingletonDimensions( x, ndims, false );
if ( typeof out !== 'object' ) {
b.fail( 'should return an object' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

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

min = 1;
max = 10;

for ( i = min; i <= max; i++ ) {
f = createBenchmark( i );
bench( format( '%s::ndarray,2d:singleton_dimensions=%d', pkg, i ), f );
}
}

main();
Original file line number Diff line number Diff line change
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{{alias}}( x, n, writable )
Returns an array with a specified number of appended singleton dimensions.

Parameters
----------
x: ndarray
Input array.

n: integer
Number of singleton dimensions to append.

writable: boolean
Boolean indicating whether a returned array should be writable.

Returns
-------
out: ndarray
Output array.

Examples
--------
> var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] )
<ndarray>[ [ 1, 2 ], [ 3, 4 ] ]
> var y = {{alias}}( x, 1, false )
<ndarray>[ [ [ 1 ], [ 2 ] ], [ [ 3 ], [ 4 ] ] ]

See Also
--------

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