feat: add ndarray/base/broadcast-scalar-like

PR-URL: #9893
Closes: stdlib-js/metr-issue-tracker#159
Co-authored-by: Athan Reines <kgryte@gmail.com>
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: headlessNode

lib/node_modules/@stdlib/ndarray/base/broadcast-scalar-like/README.md

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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.
+
+-->
+
+# broadcastScalarLike
+
+> Broadcast a scalar value to an [ndarray][@stdlib/ndarray/base/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided input [ndarray][@stdlib/ndarray/base/ctor].
+
+<!-- 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 broadcastScalarLike = require( '@stdlib/ndarray/base/broadcast-scalar-like' );
+```
+
+#### broadcastScalarLike( x, value )
+
+Broadcasts a scalar value to an [ndarray][@stdlib/ndarray/base/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes] as a provided input [ndarray][@stdlib/ndarray/base/ctor].
+
+```javascript
+var zeros = require( '@stdlib/ndarray/base/zeros' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+
+var x = zeros( 'float32', [ 2, 2 ], 'row-major' );
+// returns <ndarray>[ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ]
+
+var y = broadcastScalarLike( x, 1.0 );
+// returns <ndarray>[ [ 1.0, 1.0 ], [ 1.0, 1.0 ] ]
+
+var dt = String( getDType( y ) );
+// returns 'float32'
+```
+
+</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
+
+-   Along with data type, shape, and order, the function infers the "class" of the returned [ndarray][@stdlib/ndarray/base/ctor] from the provided [ndarray][@stdlib/ndarray/base/ctor]. For example, if provided a "base" [ndarray][@stdlib/ndarray/base/ctor], the function returns a base [ndarray][@stdlib/ndarray/base/ctor]. If provided a non-base [ndarray][@stdlib/ndarray/ctor], the function returns a non-base [ndarray][@stdlib/ndarray/ctor].
+-   If `value` is a number and the [data type][@stdlib/ndarray/dtypes] of the input ndarray is a complex [data type][@stdlib/ndarray/dtypes], the function returns an [ndarray][@stdlib/ndarray/base/ctor] containing a complex number whose real component equals the provided scalar `value` and whose imaginary component is zero.
+-   The returned [ndarray][@stdlib/ndarray/base/ctor] is a view on an [ndarray][@stdlib/ndarray/base/ctor] data buffer containing a single element. The view is **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 [ndarray][@stdlib/ndarray/base/ctor], copy the [ndarray][@stdlib/ndarray/base/ctor] **before** performing operations which may mutate elements.
+
+</section>
+
+<!-- /.notes -->
+
+<!-- Package usage examples. -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var dtypes = require( '@stdlib/ndarray/dtypes' );
+var empty = require( '@stdlib/ndarray/base/empty' );
+var broadcastScalarLike = require( '@stdlib/ndarray/base/broadcast-scalar-like' );
+
+// Get a list of data types:
+var dt = dtypes( 'integer_and_generic' );
+
+// Generate broadcasted arrays...
+var x;
+var y;
+var i;
+for ( i = 0; i < dt.length; i++ ) {
+    x = empty( dt[ i ], [ 2, 2 ], 'row-major' );
+    y = broadcastScalarLike( x, i );
+    console.log( y.get( 0, 0 ) );
+}
+```
+
+</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/base/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/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
+
+</section>
+
+<!-- /.links -->