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stdlib-bot committed Oct 7, 2023
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2 changes: 1 addition & 1 deletion base/maybe-broadcast-array/benchmark/benchmark.ndims.js
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Expand Up @@ -50,7 +50,7 @@ function createBenchmark( ndims ) {
shape.push( 0 );
}
for ( i = ndims; i >= 1; i-- ) {
if ( i > shape.length ) {
if ( i > sh.length ) {
shape[ ndims-i ] = 5;
} else {
shape[ ndims-i ] = sh[ i-1 ];
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6 changes: 0 additions & 6 deletions base/maybe-broadcast-array/docs/repl.txt
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Expand Up @@ -14,12 +14,6 @@
the returned array, copy the array before performing operations which may
mutate elements.

A returned array is a view on the input array data buffer. The view is
typically *not* contiguous. As more than one element of a returned view may
refer to the same memory location, writing to the view may affect multiple
elements. If you need to write to the returned array, copy the array before
performing operations which may mutate elements.

A returned array view is a "base" ndarray, and, thus, a returned array view
does not perform bounds checking or afford any of the guarantees of the non-
base ndarray constructor. The primary intent of this function is to
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2 changes: 1 addition & 1 deletion dist/index.js

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8 changes: 4 additions & 4 deletions dist/index.js.map

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9 changes: 9 additions & 0 deletions lib/index.js
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Expand Up @@ -171,6 +171,15 @@ setReadOnly( ns, 'ndarrayIndexModes', require( './../index-modes' ) );
*/
setReadOnly( ns, 'iter', require( './../iter' ) );

/**
* @name maybeBroadcastArray
* @memberof ns
* @readonly
* @type {Function}
* @see {@link module:@stdlib/ndarray/maybe-broadcast-array}
*/
setReadOnly( ns, 'maybeBroadcastArray', require( './../maybe-broadcast-array' ) );

/**
* @name ndarrayMinDataType
* @memberof ns
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143 changes: 143 additions & 0 deletions maybe-broadcast-array/README.md
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@@ -0,0 +1,143 @@
<!--
@license Apache-2.0
Copyright (c) 2023 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.
-->

# maybeBroadcastArray

> Broadcast an [ndarray][@stdlib/ndarray/ctor] to a specified shape if and only if the specified shape differs from the provided [ndarray][@stdlib/ndarray/ctor]'s shape.
<!-- 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

```javascript
var maybeBroadcastArray = require( '@stdlib/ndarray/maybe-broadcast-array' );
```

#### maybeBroadcastArray( arr, shape )

Broadcasts an [ndarray][@stdlib/ndarray/ctor] to a specified `shape` if and only if the specified `shape` differs from the provided [ndarray][@stdlib/ndarray/ctor]'s shape.

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

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

// Broadcast to a 2x2x2 ndarray:
var y = maybeBroadcastArray( x, [ 2, 2, 2 ] );
// returns <ndarray>
```

</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 function throws an error if a provided [ndarray][@stdlib/ndarray/ctor] is [incompatible][@stdlib/ndarray/base/broadcast-shapes] with a provided shape.
- If a provided [ndarray][@stdlib/ndarray/ctor] has the same shape as the specified shape, the function returns the provided [ndarray][@stdlib/ndarray/ctor].
- If a provided [ndarray][@stdlib/ndarray/ctor] has a different (broadcast compatible) shape than the specified shape, the function returns a new **read-only** [ndarray][@stdlib/ndarray/ctor] view of the provided [ndarray][@stdlib/ndarray/ctor]'s data. The view is typically **not** contiguous. As more than one element of a returned view may refer to the same memory location, writing to the input [ndarray][@stdlib/ndarray/ctor] may affect multiple elements. If you need to write to the input [ndarray][@stdlib/ndarray/ctor], copy the [ndarray][@stdlib/ndarray/ctor] **before** broadcasting.

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

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

```javascript
var array = require( '@stdlib/ndarray/array' );
var numel = require( '@stdlib/ndarray/base/numel' );
var ind2sub = require( '@stdlib/ndarray/ind2sub' );
var maybeBroadcastArray = require( '@stdlib/ndarray/maybe-broadcast-array' );

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

// Broadcast the array to 3x2x2:
var y = maybeBroadcastArray( x, [ 3, 2, 2 ] );
// returns <ndarray>

// Retrieve the shape:
var sh = y.shape;
// returns [ 3, 2, 2 ]

// Retrieve the number of elements:
var N = numel( sh );

// Loop through the array elements...
var i;
for ( i = 0; i < N; i++ ) {
console.log( 'Y[%s] = %d', ind2sub( sh, i ).join( ', ' ), y.iget( i ) );
}
```

</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">

[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/ndarray/tree/main/ctor

[@stdlib/ndarray/base/broadcast-shapes]: https://github.com/stdlib-js/ndarray/tree/main/base/broadcast-shapes

</section>

<!-- /.links -->
196 changes: 196 additions & 0 deletions maybe-broadcast-array/benchmark/benchmark.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2023 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( './../../base/ctor' );
var ndarray = require( './../../ctor' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var pkg = require( './../package.json' ).name;
var maybeBroadcastArray = require( './../lib' );


// MAIN //

bench( pkg+'::base_ndarray,2d', 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( 4 );
shape = [ 2, 2 ];
strides = [ 2, 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 = maybeBroadcastArray( values[ i%values.length ], [ 2, 2, 2 ] );
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( pkg+'::base_ndarray,2d,same_shape', 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( 4 );
shape = [ 2, 2 ];
strides = [ 2, 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 = maybeBroadcastArray( values[ i%values.length ], shape );
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( pkg+'::ndarray,2d', 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( 4 );
shape = [ 2, 2 ];
strides = [ 2, 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 = maybeBroadcastArray( values[ i%values.length ], [ 2, 2, 2 ] );
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( pkg+'::ndarray,2d,same_shape', 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( 4 );
shape = [ 2, 2 ];
strides = [ 2, 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 = maybeBroadcastArray( values[ i%values.length ], shape );
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();
});
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