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feat: add ndarray/rowcat
PR-URL: #11535 Co-authored-by: Athan Reines <kgryte@gmail.com> Reviewed-by: Athan Reines <kgryte@gmail.com> Closes: stdlib-js/metr-issue-tracker#260
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‎lib/node_modules/@stdlib/ndarray/rowcat/README.md‎

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<!--
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@license Apache-2.0
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Copyright (c) 2026 The Stdlib Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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# rowcat
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> Concatenate a list of one-dimensional or two-dimensional [ndarrays][@stdlib/ndarray/ctor] as rows.
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<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
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<section class="intro">
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</section>
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<!-- /.intro -->
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<!-- Package usage documentation. -->
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<section class="usage">
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## Usage
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```javascript
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var rowcat = require( '@stdlib/ndarray/rowcat' );
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```
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#### rowcat( arrays )
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Concatenates a list of one-dimensional or two-dimensional [ndarrays][@stdlib/ndarray/ctor] as rows.
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```javascript
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var array = require( '@stdlib/ndarray/array' );
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var x = array( [ 1.0, 2.0, 3.0 ] );
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// returns <ndarray>[ 1.0, 2.0, 3.0 ]
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var y = array( [ [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ] );
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// returns <ndarray>[ [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ]
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var out = rowcat( [ x, y ] );
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// returns <ndarray>[ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ]
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```
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The function accepts the following arguments:
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- **arrays**: a list of input [ndarrays][@stdlib/ndarray/ctor]. The data type of the output [ndarray][@stdlib/ndarray/ctor] is determined by applying [type promotion rules][@stdlib/ndarray/promotion-rules] to the list of input [ndarrays][@stdlib/ndarray/ctor]. If provided [ndarrays][@stdlib/ndarray/ctor] having different [memory layouts][@stdlib/ndarray/orders], the output [ndarray][@stdlib/ndarray/ctor] has the [default order][@stdlib/ndarray/defaults].
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#### rowcat.assign( arrays, out )
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Concatenates a list of one-dimensional or two-dimensional [ndarrays][@stdlib/ndarray/ctor] as rows and assigns results to a provided output [ndarray][@stdlib/ndarray/ctor].
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```javascript
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var array = require( '@stdlib/ndarray/array' );
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var zeros = require( '@stdlib/ndarray/zeros' );
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var x = array( [ 1.0, 2.0, 3.0 ] );
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// returns <ndarray>[ 1.0, 2.0, 3.0 ]
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var y = array( [ [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ] );
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// returns <ndarray>[ [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ]
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var z = zeros( [ 3, 3 ] );
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// returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
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var out = rowcat.assign( [ x, y ], z );
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// returns <ndarray>[ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ]
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var bool = ( out === z );
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// returns true
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```
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The function accepts the following arguments:
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- **arrays**: a list of input [ndarrays][@stdlib/ndarray/ctor]. Must [promote][@stdlib/ndarray/promotion-rules] to a [data type][@stdlib/ndarray/dtypes] which can be (mostly) [safely cast][@stdlib/ndarray/mostly-safe-casts] to the [data type][@stdlib/ndarray/dtypes] of the output [ndarray][@stdlib/ndarray/ctor].
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- **out**: output [ndarray][@stdlib/ndarray/ctor]. Must be a two-dimensional [ndarray][@stdlib/ndarray/ctor].
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</section>
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<!-- /.usage -->
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<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
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<section class="notes">
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- One-dimensional input [ndarrays][@stdlib/ndarray/ctor] having length `N` are promoted to two-dimensional [ndarrays][@stdlib/ndarray/ctor] having shape `[1, N]`.
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- Input [ndarrays][@stdlib/ndarray/ctor] must have the same number of columns.
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</section>
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<!-- /.notes -->
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<!-- Package usage examples. -->
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<section class="examples">
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## Examples
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```javascript
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var discreteUniform = require( '@stdlib/random/discrete-uniform' );
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var rowcat = require( '@stdlib/ndarray/rowcat' );
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var x = discreteUniform( [ 3 ], 0, 10, {
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'dtype': 'generic'
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});
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console.log( ndarray2array( x ) );
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var y = discreteUniform( [ 2, 3 ], 0, 10, {
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'dtype': 'generic'
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});
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console.log( ndarray2array( y ) );
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var out = rowcat( [ x, y ] );
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console.log( ndarray2array( out ) );
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```
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</section>
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<!-- /.examples -->
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<!-- 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. -->
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<section class="references">
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</section>
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<!-- /.references -->
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
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<section class="related">
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</section>
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<!-- /.related -->
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<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
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<section class="links">
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[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor
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[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes
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[@stdlib/ndarray/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders
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[@stdlib/ndarray/defaults]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/defaults
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[@stdlib/ndarray/promotion-rules]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/promotion-rules
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[@stdlib/ndarray/mostly-safe-casts]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/mostly-safe-casts
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</section>
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<!-- /.links -->

‎lib/node_modules/@stdlib/ndarray/rowcat/benchmark/benchmark.assign.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2026 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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// MODULES //
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var bench = require( '@stdlib/bench' );
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var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
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var discreteUniform = require( '@stdlib/random/discrete-uniform' );
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var zeros = require( '@stdlib/ndarray/zeros' );
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var format = require( '@stdlib/string/format' );
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var pkg = require( './../package.json' ).name;
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var rowcat = require( './../lib/assign.js' );
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// MAIN //
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bench( format( '%s::1d', pkg ), function benchmark( b ) {
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var values;
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var opts;
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var out;
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var v;
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var i;
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opts = {
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'dtype': 'float64'
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};
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values = [
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discreteUniform( [ 32 ], -100, 100, opts ),
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discreteUniform( [ 32 ], -100, 100, opts ),
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discreteUniform( [ 32 ], -100, 100, opts ),
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discreteUniform( [ 32 ], -100, 100, opts )
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];
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out = zeros( [ 4, 32 ], opts );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rowcat( values, out );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});
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bench( format( '%s::1d,casting', pkg ), function benchmark( b ) {
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var values;
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var out;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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discreteUniform( [ 32 ], -100, 100, { 'dtype': 'float64' } ),
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discreteUniform( [ 32 ], -100, 100, { 'dtype': 'float32' } ),
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discreteUniform( [ 32 ], -100, 100, { 'dtype': 'int32' } ),
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discreteUniform( [ 32 ], -100, 100, { 'dtype': 'generic' } )
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];
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out = zeros( [ 4, 32 ], { 'dtype': 'generic' } );
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rowcat( values, out );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});
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bench( format( '%s::2d', pkg ), function benchmark( b ) {
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var values;
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var opts;
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var out;
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var v;
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var i;
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opts = {
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'dtype': 'float64'
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};
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values = [
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discreteUniform( [ 16, 32 ], -100, 100, opts ),
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discreteUniform( [ 16, 32 ], -100, 100, opts ),
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discreteUniform( [ 16, 32 ], -100, 100, opts ),
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discreteUniform( [ 16, 32 ], -100, 100, opts )
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];
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out = zeros( [ 64, 32 ], opts );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rowcat( values, out );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});
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bench( format( '%s::2d,casting', pkg ), function benchmark( b ) {
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var values;
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var out;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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discreteUniform( [ 16, 32 ], -100, 100, { 'dtype': 'float64' } ),
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discreteUniform( [ 16, 32 ], -100, 100, { 'dtype': 'float32' } ),
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discreteUniform( [ 16, 32 ], -100, 100, { 'dtype': 'int32' } ),
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discreteUniform( [ 16, 32 ], -100, 100, { 'dtype': 'generic' } )
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];
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out = zeros( [ 64, 32 ], { 'dtype': 'generic' } );
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rowcat( values, out );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});
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bench( format( '%s::mixed_1d_2d', pkg ), function benchmark( b ) {
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var values;
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var opts;
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var out;
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var v;
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var i;
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opts = {
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'dtype': 'float64'
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};
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values = [
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discreteUniform( [ 32 ], -100, 100, opts ),
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discreteUniform( [ 16, 32 ], -100, 100, opts ),
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discreteUniform( [ 32 ], -100, 100, opts ),
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discreteUniform( [ 16, 32 ], -100, 100, opts )
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];
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out = zeros( [ 34, 32 ], opts );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rowcat( values, out );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});

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