feat: add ndarray/fill-slice

lib/node_modules/@stdlib/ndarray/fill-slice/README.md

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+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2025 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.
+
+-->
+
+# fillSlice
+
+> Fill an input [`ndarray`][@stdlib/ndarray/ctor] with a specified value in the region defined by a [`MultiSlice`][@stdlib/slice/multi].
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var fillSlice = require( '@stdlib/ndarray/fill-slice' );
+```
+
+#### fillSlice( x, s, value )
+
+Fills an input [`ndarray`][@stdlib/ndarray/ctor] with a specified value in the region defined by a [`MultiSlice`][@stdlib/slice/multi].
+
+```javascript
+var zeros = require( '@stdlib/ndarray/zeros' );
+var MultiSlice = require( '@stdlib/slice/multi' );
+var Slice = require( '@stdlib/slice/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var x = zeros( [ 3, 4 ], {
+    'dtype': 'float64'
+});
+
+// Create a MultiSlice to specify the fill region:
+var s0 = new Slice( 1, 3 );
+var s1 = new Slice( 2, 4 );
+var s = new MultiSlice( s0, s1 );
+
+// Fill the ndarray with a scalar value:
+var y = fillSlice( x, s, 5.0 );
+// returns <ndarray>
+
+var bool = ( y === x );
+// returns true
+
+var arr = ndarray2array( x );
+// returns [ [ 0, 0, 0, 0 ], [ 0, 0, 5, 5 ], [ 0, 0, 5, 5 ] ]
+```
+
+The function accepts the following arguments:
+
+-   **x**: array-like object containing an input [`ndarray`][@stdlib/ndarray/ctor].
+-   **s**: [`MultiSlice`][@stdlib/slice/multi] specifying the fill region of the input [`ndarray`][@stdlib/ndarray/ctor].
+-   **value**: scalar value.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   An input [`ndarray`][@stdlib/ndarray/ctor] **must** be writable. If provided a **read-only** [`ndarray`][@stdlib/ndarray/ctor], the function throws an error.
+-   If `value` is a number and `x` has a complex [data type][@stdlib/ndarray/dtypes], the function fills an input [`ndarray`][@stdlib/ndarray/ctor] with a complex number whose real component equals the provided scalar `value` and whose imaginary component is zero.
+-   A `value` must be able to safely cast to the input [`ndarray`][@stdlib/ndarray/ctor] [data type][@stdlib/ndarray/dtypes]. Scalar 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]).
+-   The function **mutates** the input [`ndarray`][@stdlib/ndarray/ctor].
+-   Multi-slice instances have no explicit functionality; however, they are used by [`ndarray`][@stdlib/ndarray/ctor] and other packages for creating views into multi-dimensional data structures.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var zeros = require( '@stdlib/ndarray/zeros' );
+var MultiSlice = require( '@stdlib/slice/multi' );
+var Slice = require( '@stdlib/slice/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var fillSlice = require( '@stdlib/ndarray/fill-slice' );
+
+// Create a zero-filled ndarray:
+var x = zeros( [ 2, 3, 4 ], {
+    'dtype': 'generic'
+});
+console.log( ndarray2array( x ) );
+
+// Create a MultiSlice to specify 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 ndarray with a scalar value:
+fillSlice( x, 10.0 );
+console.log( ndarray2array( x ) );
+```
+
+</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/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
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/ndarray/fill-slice/benchmark/benchmark.1d.js

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+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 zeros = require( '@stdlib/ndarray/zeros' );
+var MultiSlice = require( '@stdlib/slice/multi' );
+var pkg = require( './../package.json' ).name;
+var fillSlice = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var orders = [ 'row-major', 'column-major' ];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} order - memory layout
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, order ) {
+	var x;
+
+	x = zeros( shape, {
+		'dtype': xtype,
+		'order': order
+	});
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			fillSlice( x, new MultiSlice( null ), i );
+			if ( isnan( x.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( x.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 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( len, sh, t1, ord );
+				bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1, f );
+			}
+		}
+	}
+}
+
+main();