Skip to content
Open
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
219 changes: 219 additions & 0 deletions lib/node_modules/@stdlib/ndarray/to-filled-slice/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,219 @@
<!--

@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.

-->

# toFilledSlice

> Return a new [`ndarray`][@stdlib/ndarray/ctor] with a specified slice region filled with a provided value.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var toFilledSlice = require( '@stdlib/ndarray/to-filled-slice' );
```

#### toFilledSlice( x, value, ...s\[, options] )

Returns a new [`ndarray`][@stdlib/ndarray/ctor] with a specified slice region filled with a provided value.

<!-- eslint-disable max-len -->

```javascript
var zeros = require( '@stdlib/ndarray/zeros' );
var MultiSlice = require( '@stdlib/slice/multi' );
var Slice = require( '@stdlib/slice/ctor' );

var x = zeros( [ 3, 4 ], {
'dtype': 'float64'
});
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]

// Define an interior fill region:
var s0 = new Slice( 1, 2 );
var s1 = new Slice( 1, 3 );
var s = new MultiSlice( s0, s1 );

// Fill the region with a scalar value:
var y = toFilledSlice( x, 9.0, s );
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 9.0, 9.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]

var bool = ( y === x );
// returns false
```

The function accepts the following arguments:

- **x**: input [`ndarray`][@stdlib/ndarray/ctor].
- **value**: fill value.
- **s**: a [`MultiSlice`][@stdlib/slice/multi] instance, an array of slice arguments, or slice arguments as separate arguments.
- **options**: function options.

The function supports three (mutually exclusive) means for providing slice arguments:

1. providing a single [`MultiSlice`][@stdlib/slice/multi] instance.
2. providing a single array of slice arguments.
3. providing slice arguments as separate arguments.

The following example demonstrates each invocation style achieving equivalent results.

<!-- eslint-disable max-len -->

```javascript
var zeros = require( '@stdlib/ndarray/zeros' );
var MultiSlice = require( '@stdlib/slice/multi' );
var Slice = require( '@stdlib/slice/ctor' );

var s0 = new Slice( 1, 2 );
var s1 = new Slice( 1, 3 );
var s = new MultiSlice( s0, s1 );

// 1. Using a MultiSlice:
var x = zeros( [ 3, 4 ], {
'dtype': 'float64'
});
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]

var out = toFilledSlice( x, 9.0, s );
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 9.0, 9.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]

// 2. Using an array of slice arguments:
out = toFilledSlice( x, 9.0, [ s0, s1 ] );
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 9.0, 9.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]

// 3. Providing separate arguments:
out = toFilledSlice( x, 9.0, s0, s1 );
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 9.0, 9.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]
```

The function supports the following options:

- **strict**: boolean indicating whether to enforce strict bounds checking.

By default, the function throws an error when provided a slice which exceeds array bounds. To ignore slice indices exceeding array bounds, set the `strict` option to `false`.

<!-- eslint-disable max-len -->

```javascript
var zeros = require( '@stdlib/ndarray/zeros' );
var MultiSlice = require( '@stdlib/slice/multi' );
var Slice = require( '@stdlib/slice/ctor' );

var x = zeros( [ 3, 4 ], {
'dtype': 'float64'
});
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]

// Define the fill region:
var s0 = new Slice( 1, null, 1 );
var s1 = new Slice( 10, 20, 1 );
var s = new MultiSlice( s0, s1 );

// Return a copy of `x` (out-of-bounds slice is ignored):
var y = toFilledSlice( x, 9.0, s, {
'strict': false
});
// returns <ndarray>[ [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0 ] ]
```

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- The function does **not** mutate the input [`ndarray`][@stdlib/ndarray/ctor].
- The output [`ndarray`][@stdlib/ndarray/ctor] has the same [data type][@stdlib/ndarray/dtypes], shape, and memory layout as the input [`ndarray`][@stdlib/ndarray/ctor].
- A **slice argument** must be either a [`Slice`][@stdlib/slice/ctor], an integer, `null`, or `undefined`.
- Each slice argument must have an absolute index increment equal to one. Otherwise, the function throws an error.
- If a fill value is a number and `x` has a complex [data type][@stdlib/ndarray/dtypes], the function fills the specified region with a complex number whose real component equals the provided fill `value` and whose imaginary component is zero.
- A fill value must be able to safely cast to the input [`ndarray`][@stdlib/ndarray/ctor] [data type][@stdlib/ndarray/dtypes]. Fill values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a `'float32'` input [`ndarray`][@stdlib/ndarray/ctor]).

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random/discrete-uniform' );
var MultiSlice = require( '@stdlib/slice/multi' );
var Slice = require( '@stdlib/slice/ctor' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var toFilledSlice = require( '@stdlib/ndarray/to-filled-slice' );

// Create an input ndarray:
var x = discreteUniform( [ 2, 3, 4 ], -10, 10, {
'dtype': 'float64'
});
console.log( ndarray2array( x ) );

// Define the fill region:
var s0 = new Slice( 1, 2 );
var s1 = new Slice( null, null );
var s2 = new Slice( 2, 4 );
var s = new MultiSlice( s0, s1, s2 );

// Fill the region with a scalar value:
var y = toFilledSlice( x, 0.0, s );
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 class="links">

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

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

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

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

<!-- <related-links> -->

<!-- </related-links> -->

</section>

<!-- /.links -->
Original file line number Diff line number Diff line change
@@ -0,0 +1,125 @@
/**
* @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 pow = require( '@stdlib/math/base/special/pow' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var discreteUniform = require( '@stdlib/random/discrete-uniform' );
var MultiSlice = require( '@stdlib/slice/multi' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var toFilledSlice = require( './../lib' );


// VARIABLES //

var types = [ 'float64' ];
var orders = [ 'row-major', 'column-major' ];


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {NonNegativeIntegerArray} shape - ndarray shape
* @param {string} xtype - input ndarray data type
* @param {string} order - memory layout
* @returns {Function} benchmark function
*/
function createBenchmark( shape, xtype, order ) {
var x;
var s;

x = discreteUniform( shape, -10, 10, {
'dtype': xtype,
'order': order
});
s = new MultiSlice( null );
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 = toFilledSlice( x, i, s );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
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 len;
var min;
var max;
var ord;
var sh;
var t1;
var f;
var i;
var j;
var k;

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

for ( k = 0; k < orders.length; k++ ) {
ord = orders[ k ];
for ( j = 0; j < types.length; j++ ) {
t1 = types[ j ];
for ( i = min; i <= max; i++ ) {
len = pow( 10, i );

sh = [ len ];
f = createBenchmark( sh, t1, ord );
bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,xtype=%s', pkg, sh.length, len, sh.join( ',' ), ord, t1 ), f );
}
}
}
}

main();
Loading