feat: add ndarray/base/tile

lib/node_modules/@stdlib/ndarray/base/tile/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.
+
+-->
+
+# tile
+
+> Return an [ndarray][@stdlib/ndarray/base/ctor] created by repeating the elements of an input [ndarray][@stdlib/ndarray/base/ctor] a specified number of times along each dimension.
+
+<!-- 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 tile = require( '@stdlib/ndarray/base/tile' );
+```
+
+#### tile( x, reps )
+
+Returns an [ndarray][@stdlib/ndarray/base/ctor] created by repeating the elements of an input [ndarray][@stdlib/ndarray/base/ctor] a specified number of times along each dimension.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
+// returns <ndarray>[ [ 1, 2 ], [ 3, 4 ] ]
+
+var y = tile( x, [ 2, 2 ] );
+// returns <ndarray>[ [ 1, 2, 1, 2 ], [ 3, 4, 3, 4 ], [ 1, 2, 1, 2 ], [ 3, 4, 3, 4 ] ]
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [ndarray][@stdlib/ndarray/base/ctor].
+-   **reps**: list specifying the number of times to repeat elements of an input [ndarray][@stdlib/ndarray/base/ctor] along each dimension.
+
+</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 number of repetitions must have at least as many elements as the number of input dimensions. When the number of repetitions exceeds the number of input dimensions, the input [ndarray][@stdlib/ndarray/base/ctor] is treated as if singleton dimensions were prepended.
+-   The function always copies data to a new [ndarray][@stdlib/ndarray/base/ctor].
+
+</section>
+
+<!-- /.notes -->
+
+<!-- Package usage examples. -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var tile = require( '@stdlib/ndarray/base/tile' );
+
+// Create a 2x2 array:
+var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
+console.log( ndarray2array( x ) );
+
+// Tile the array to 4x4:
+var out = tile( x, [ 2, 2 ] );
+console.log( ndarray2array( out ) );
+```
+
+</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
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/ndarray/base/tile/benchmark/benchmark.js

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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 tile = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s::ctor=base,ndims=2,order=row-major', 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( 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 = tile( values[ i%values.length ], [ 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( format( '%s::ctor=non-base,ndims=2,order=row-major', 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( 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 = tile( values[ i%values.length ], [ 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();
+});

lib/node_modules/@stdlib/ndarray/base/tile/benchmark/benchmark.ndims.js

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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 tile = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} ndims - number of output dimensions
+* @returns {Function} benchmark function
+*/
+function createBenchmark( ndims ) {
+	var reps;
+	var x;
+	var i;
+
+	x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
+
+	reps = [];
+	for ( i = 0; i < ndims; i++ ) {
+		reps.push( 1 );
+	}
+	reps[ ndims-1 ] = 2;
+	if ( ndims >= 2 ) {
+		reps[ ndims-2 ] = 2;
+	}
+	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 = tile( x, reps );
+			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 = 2;
+	max = 10;
+
+	for ( i = min; i <= max; i++ ) {
+		f = createBenchmark( i );
+		bench( format( '%s::ctor=non-base,ndims=%d,order=row-major', pkg, i ), f );
+	}
+}
+
+main();

lib/node_modules/@stdlib/ndarray/base/tile/docs/repl.txt

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+
+{{alias}}( x, reps )
+    Returns an ndarray created by repeating the elements of an input ndarray
+    a specified number of times along each dimension.
+
+    The number of repetitions must have at least as many elements as the number
+    of input dimensions. When the number of repetitions exceeds the number of
+    input dimensions, the input array is treated as if singleton dimensions
+    were prepended.
+
+    The function always copies data to a new ndarray.
+
+    Parameters
+    ----------
+    x: ndarray
+        Input array.
+
+    reps: ArrayLikeObject
+        Number of repetitions along each dimension.
+
+    Returns
+    -------
+    out: ndarray
+        Output array.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] )
+    <ndarray>[ [ 1, 2 ], [ 3, 4 ] ]
+    > var o = {{alias}}( x, [ 2, 2 ] )
+    <ndarray>[ [ 1, 2, 1, 2 ], [ 3, 4, 3, 4 ], [ 1, 2, 1, 2 ], [ 3, 4, 3, 4 ] ]
+
+    See Also
+    --------
+