feat: add ndarray/colcat

lib/node_modules/@stdlib/ndarray/colcat/README.md

@@ -0,0 +1,171 @@
+<!--
+
+@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.
+
+-->
+
+# colcat
+
+> Concatenate a list of one-dimensional or two-dimensional [ndarrays][@stdlib/ndarray/ctor] as columns.
+
+<!-- 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 colcat = require( '@stdlib/ndarray/colcat' );
+```
+
+#### colcat( arrays )
+
+Concatenates a list of one-dimensional or two-dimensional [ndarrays][@stdlib/ndarray/ctor] as columns.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+var x = array( [ 1.0, 2.0, 3.0 ] );
+// returns <ndarray>[ 1.0, 2.0, 3.0 ]
+
+var y = array( [ [ 4.0, 5.0 ], [ 6.0, 7.0 ], [ 8.0, 9.0 ] ] );
+// returns <ndarray>[ [ 4.0, 5.0 ], [ 6.0, 7.0 ], [ 8.0, 9.0 ] ]
+
+var out = colcat( [ x, y ] );
+// returns <ndarray>[ [ 1.0, 4.0, 5.0 ], [ 2.0, 6.0, 7.0 ], [ 3.0, 8.0, 9.0 ] ]
+```
+
+The function accepts the following arguments:
+
+-   **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].
+
+#### colcat.assign( arrays, out )
+
+Concatenates a list of one-dimensional or two-dimensional [ndarrays][@stdlib/ndarray/ctor] as columns and assigns results to a provided output [ndarray][@stdlib/ndarray/ctor].
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+
+var x = array( [ 1.0, 2.0, 3.0 ] );
+// returns <ndarray>[ 1.0, 2.0, 3.0 ]
+
+var y = array( [ [ 4.0, 5.0 ], [ 6.0, 7.0 ], [ 8.0, 9.0 ] ] );
+// returns <ndarray>[ [ 4.0, 5.0 ], [ 6.0, 7.0 ], [ 8.0, 9.0 ] ]
+
+var z = zeros( [ 3, 3 ] );
+// returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
+
+var out = colcat.assign( [ x, y ], z );
+// returns <ndarray>[ [ 1.0, 4.0, 5.0 ], [ 2.0, 6.0, 7.0 ], [ 3.0, 8.0, 9.0 ] ]
+
+var bool = ( out === z );
+// returns true
+```
+
+The function accepts the following arguments:
+
+-   **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].
+-   **out**: output [ndarray][@stdlib/ndarray/ctor]. Must be a two-dimensional [ndarray][@stdlib/ndarray/ctor].
+
+</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">
+
+-   One-dimensional input [ndarrays][@stdlib/ndarray/ctor] having length `N` are promoted to two-dimensional [ndarrays][@stdlib/ndarray/ctor] having shape `[N, 1]`.
+-   Input [ndarrays][@stdlib/ndarray/ctor] must have the same number of rows.
+
+</section>
+
+<!-- /.notes -->
+
+<!-- Package usage examples. -->
+
+<section class="examples">
+
+## Examples
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var colcat = require( '@stdlib/ndarray/colcat' );
+
+var x = discreteUniform( [ 3 ], 0, 10, {
+    'dtype': 'generic'
+});
+console.log( ndarray2array( x ) );
+
+var y = discreteUniform( [ 3, 2 ], 0, 10, {
+    'dtype': 'generic'
+});
+console.log( ndarray2array( y ) );
+
+var out = colcat( [ x, y ] );
+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/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
+
+[@stdlib/ndarray/orders]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/orders
+
+[@stdlib/ndarray/defaults]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/defaults
+
+[@stdlib/ndarray/promotion-rules]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/promotion-rules
+
+[@stdlib/ndarray/mostly-safe-casts]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/mostly-safe-casts
+
+</section>
+
+<!-- /.links -->

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

@@ -0,0 +1,200 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var colcat = require( './../lib/assign.js' );
+
+
+// MAIN //
+
+bench( format( '%s::1d', pkg ), function benchmark( b ) {
+	var values;
+	var opts;
+	var out;
+	var v;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+
+	values = [
+		discreteUniform( [ 32 ], -100, 100, opts ),
+		discreteUniform( [ 32 ], -100, 100, opts ),
+		discreteUniform( [ 32 ], -100, 100, opts ),
+		discreteUniform( [ 32 ], -100, 100, opts )
+	];
+	out = zeros( [ 32, 4 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = colcat( values, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::1d,casting', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var v;
+	var i;
+
+	/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	values = [
+		discreteUniform( [ 32 ], -100, 100, { 'dtype': 'float64' } ),
+		discreteUniform( [ 32 ], -100, 100, { 'dtype': 'float32' } ),
+		discreteUniform( [ 32 ], -100, 100, { 'dtype': 'int32' } ),
+		discreteUniform( [ 32 ], -100, 100, { 'dtype': 'generic' } )
+	];
+	out = zeros( [ 32, 4 ], { 'dtype': 'generic' } );
+
+	/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = colcat( values, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::2d', pkg ), function benchmark( b ) {
+	var values;
+	var opts;
+	var out;
+	var v;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+
+	values = [
+		discreteUniform( [ 32, 16 ], -100, 100, opts ),
+		discreteUniform( [ 32, 16 ], -100, 100, opts ),
+		discreteUniform( [ 32, 16 ], -100, 100, opts ),
+		discreteUniform( [ 32, 16 ], -100, 100, opts )
+	];
+	out = zeros( [ 32, 64 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = colcat( values, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::2d,casting', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var v;
+	var i;
+
+	/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	values = [
+		discreteUniform( [ 32, 16 ], -100, 100, { 'dtype': 'float64' } ),
+		discreteUniform( [ 32, 16 ], -100, 100, { 'dtype': 'float32' } ),
+		discreteUniform( [ 32, 16 ], -100, 100, { 'dtype': 'int32' } ),
+		discreteUniform( [ 32, 16 ], -100, 100, { 'dtype': 'generic' } )
+	];
+	out = zeros( [ 32, 64 ], { 'dtype': 'generic' } );
+
+	/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = colcat( values, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::mixed_1d_2d', pkg ), function benchmark( b ) {
+	var values;
+	var opts;
+	var out;
+	var v;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+
+	values = [
+		discreteUniform( [ 32 ], -100, 100, opts ),
+		discreteUniform( [ 32, 16 ], -100, 100, opts ),
+		discreteUniform( [ 32 ], -100, 100, opts ),
+		discreteUniform( [ 32, 16 ], -100, 100, opts )
+	];
+	out = zeros( [ 32, 34 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = colcat( values, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});