diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/README.md b/lib/node_modules/@stdlib/ndarray/hconcat/README.md
new file mode 100644
index 000000000000..ab9029e9d641
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/README.md
@@ -0,0 +1,162 @@
+
+
+# hconcat
+
+> Concatenate a list of [ndarrays][@stdlib/ndarray/ctor] along the last dimension.
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var hconcat = require( '@stdlib/ndarray/hconcat' );
+```
+
+#### hconcat( arrays )
+
+Concatenates a list of [ndarrays][@stdlib/ndarray/ctor] along the last dimension.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+
+var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+// returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+
+var out = hconcat( [ x, y ] );
+// returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+```
+
+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].
+
+#### hconcat.assign( arrays, out )
+
+Concatenates a list of [ndarrays][@stdlib/ndarray/ctor] along the last dimension 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, 4.0 ] ] );
+// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+
+var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+// returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+
+var z = zeros( [ 2, 5 ] );
+// returns [ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ]
+
+var out = hconcat.assign( [ x, y ], z );
+// returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+
+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].
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var hconcat = require( '@stdlib/ndarray/hconcat' );
+
+var x = discreteUniform( [ 2, 2 ], 0, 10, {
+ 'dtype': 'generic'
+});
+console.log( ndarray2array( x ) );
+
+var y = discreteUniform( [ 2, 3 ], 0, 10, {
+ 'dtype': 'generic'
+});
+console.log( ndarray2array( y ) );
+
+var out = hconcat( [ x, y ] );
+console.log( ndarray2array( out ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@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
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/benchmark/benchmark.assign.js b/lib/node_modules/@stdlib/ndarray/hconcat/benchmark/benchmark.assign.js
new file mode 100644
index 000000000000..ecf926e6118e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/benchmark/benchmark.assign.js
@@ -0,0 +1,167 @@
+/**
+* @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 hconcat = 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( [ 128 ], opts );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = hconcat( 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 = hconcat( 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 = hconcat( 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::3d', pkg ), function benchmark( b ) {
+ var values;
+ var opts;
+ var out;
+ var v;
+ var i;
+
+ opts = {
+ 'dtype': 'float64'
+ };
+
+ values = [
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts ),
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts ),
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts ),
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts )
+ ];
+ out = zeros( [ 4, 16, 64 ], opts );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = hconcat( 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();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/hconcat/benchmark/benchmark.js
new file mode 100644
index 000000000000..0b33d79ddebb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/benchmark/benchmark.js
@@ -0,0 +1,158 @@
+/**
+* @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 format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var hconcat = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s::1d', pkg ), function benchmark( b ) {
+ var values;
+ var opts;
+ 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 )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = hconcat( values );
+ 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 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 )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = hconcat( values );
+ 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 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' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = hconcat( values );
+ 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::3d', pkg ), function benchmark( b ) {
+ var values;
+ var opts;
+ var v;
+ var i;
+
+ opts = {
+ 'dtype': 'float64'
+ };
+
+ values = [
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts ),
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts ),
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts ),
+ discreteUniform( [ 4, 16, 16 ], -100, 100, opts )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = hconcat( values );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/hconcat/docs/repl.txt
new file mode 100644
index 000000000000..1a4ac3d51329
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/docs/repl.txt
@@ -0,0 +1,66 @@
+
+{{alias}}( arrays )
+ Concatenates a list of ndarrays along the last dimension.
+
+ The data type of the output ndarray is determined by applying type
+ promotion rules to the list of input ndarrays.
+
+ If provided ndarrays having different memory layouts, the output ndarray
+ has the default order.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ List of input ndarrays. Each input ndarray must have a shape which is
+ broadcast-compatible with the other input ndarrays along all dimensions
+ other than the last dimension.
+
+ Returns
+ -------
+ out: ndarray
+ Output ndarray.
+
+ Examples
+ --------
+ > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+ > var y = {{alias:@stdlib/ndarray/array}}( [ [ 5.0, 6.0 ], [ 7.0, 8.0 ] ] );
+ > var out = {{alias}}( [ x, y ] )
+ [ [ 1.0, 2.0, 5.0, 6.0 ], [ 3.0, 4.0, 7.0, 8.0 ] ]
+
+
+{{alias}}.assign( arrays, out )
+ Concatenates a list of ndarrays along the last dimension and assigns
+ results to a provided output ndarray.
+
+ Input ndarrays must promote to a data type which can be (mostly) safely
+ cast to the data type of the output ndarray.
+
+ Parameters
+ ----------
+ arrays: ArrayLikeObject
+ List of input ndarrays. Each input ndarray must have a shape which is
+ broadcast-compatible with the other input ndarrays along all dimensions
+ other than the last dimension.
+
+ out: ndarray
+ Output ndarray. Must have a data type to which the input ndarrays can
+ be (mostly) safely cast.
+
+ Returns
+ -------
+ out: ndarray
+ Output ndarray.
+
+ Examples
+ --------
+ > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+ > var y = {{alias:@stdlib/ndarray/array}}( [ [ 5.0, 6.0 ], [ 7.0, 8.0 ] ] );
+ > var z = {{alias:@stdlib/ndarray/zeros}}( [ 2, 4 ] );
+ > var out = {{alias}}.assign( [ x, y ], z )
+ [ [ 1.0, 2.0, 5.0, 6.0 ], [ 3.0, 4.0, 7.0, 8.0 ] ]
+ > var bool = ( out === z )
+ true
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/hconcat/docs/types/index.d.ts
new file mode 100644
index 000000000000..cf6cb46d948d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/docs/types/index.d.ts
@@ -0,0 +1,121 @@
+/*
+* @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.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { ArrayLike } from '@stdlib/types/array';
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Interface describing `hconcat`.
+*/
+interface Hconcat {
+ /**
+ * Concatenates a list of ndarrays along the last dimension.
+ *
+ * @param arrays - array-like object containing input ndarrays
+ * @returns output ndarray
+ *
+ * @example
+ * var array = require( '@stdlib/ndarray/array' );
+ *
+ * var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+ * // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+ *
+ * var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+ * // returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+ *
+ * var out = hconcat( [ x, y ] );
+ * // returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+ */
+ ( arrays: ArrayLike> ): typedndarray;
+
+ /**
+ * Concatenates a list of ndarrays along the last dimension and assigns results to a provided output ndarray.
+ *
+ * @param arrays - array-like object containing input ndarrays
+ * @param out - output ndarray
+ * @returns output ndarray
+ *
+ * @example
+ * var array = require( '@stdlib/ndarray/array' );
+ * var zeros = require( '@stdlib/ndarray/zeros' );
+ *
+ * var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+ * // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+ *
+ * var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+ * // returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+ *
+ * var z = zeros( [ 2, 5 ] );
+ * // returns [ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ]
+ *
+ * var out = hconcat.assign( [ x, y ], z );
+ * // returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+ *
+ * var bool = ( out === z );
+ * // returns true
+ */
+ assign = typedndarray>( arrays: ArrayLike>, out: V ): V;
+}
+
+/**
+* Concatenates a list of ndarrays along the last dimension.
+*
+* @param arrays - array-like object containing input ndarrays
+* @returns output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+*
+* var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+* // returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+*
+* var out = hconcat( [ x, y ] );
+* // returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+*
+* var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+* // returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+*
+* var z = zeros( [ 2, 5 ] );
+* // returns [ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ]
+*
+* var out = hconcat.assign( [ x, y ], z );
+* // returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+*
+* var bool = ( out === z );
+* // returns true
+*/
+declare var hconcat: Hconcat;
+
+
+// EXPORTS //
+
+export = hconcat;
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/hconcat/docs/types/test.ts
new file mode 100644
index 000000000000..6d0a0c65689e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/docs/types/test.ts
@@ -0,0 +1,106 @@
+/*
+* @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.
+*/
+
+///
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import hconcat = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x = zeros( [ 2, 2 ] );
+ const y = zeros( [ 2, 3 ] );
+
+ hconcat( [ x, y ] ); // $ExpectType typedndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array-like object containing ndarrays...
+{
+ hconcat( '5' ); // $ExpectError
+ hconcat( 5 ); // $ExpectError
+ hconcat( true ); // $ExpectError
+ hconcat( false ); // $ExpectError
+ hconcat( null ); // $ExpectError
+ hconcat( undefined ); // $ExpectError
+ hconcat( [ 1 ] ); // $ExpectError
+ hconcat( {} ); // $ExpectError
+ hconcat( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 2, 2 ] );
+ const y = zeros( [ 2, 3 ] );
+
+ hconcat(); // $ExpectError
+ hconcat( x ); // $ExpectError
+ hconcat( [ x, y ], {} ); // $ExpectError
+}
+
+// Attached to the function is an `assign` method which returns an ndarray...
+{
+ const x = zeros( [ 2, 2 ] );
+ const y = zeros( [ 2, 3 ] );
+ const z = zeros( [ 2, 5 ] );
+
+ hconcat.assign( [ x, y ], z ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the `assign` method is provided a first argument which is not an array-like object containing ndarrays...
+{
+ const z = zeros( [ 2, 5 ] );
+
+ hconcat.assign( '5', z ); // $ExpectError
+ hconcat.assign( 5, z ); // $ExpectError
+ hconcat.assign( true, z ); // $ExpectError
+ hconcat.assign( false, z ); // $ExpectError
+ hconcat.assign( null, z ); // $ExpectError
+ hconcat.assign( undefined, z ); // $ExpectError
+ hconcat.assign( [ 1 ], z ); // $ExpectError
+ hconcat.assign( {}, z ); // $ExpectError
+ hconcat.assign( ( x: number ): number => x, z ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a second argument which is not an ndarray...
+{
+ const x = zeros( [ 2, 2 ] );
+ const y = zeros( [ 2, 3 ] );
+
+ hconcat.assign( [ x, y ], '5' ); // $ExpectError
+ hconcat.assign( [ x, y ], 5 ); // $ExpectError
+ hconcat.assign( [ x, y ], true ); // $ExpectError
+ hconcat.assign( [ x, y ], false ); // $ExpectError
+ hconcat.assign( [ x, y ], null ); // $ExpectError
+ hconcat.assign( [ x, y ], [ 1 ] ); // $ExpectError
+ hconcat.assign( [ x, y ], {} ); // $ExpectError
+ hconcat.assign( [ x, y ], ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 2, 2 ] );
+ const y = zeros( [ 2, 3 ] );
+ const z = zeros( [ 2, 5 ] );
+
+ hconcat.assign(); // $ExpectError
+ hconcat.assign( [ x, y ] ); // $ExpectError
+ hconcat.assign( [ x, y ], z, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/examples/index.js b/lib/node_modules/@stdlib/ndarray/hconcat/examples/index.js
new file mode 100644
index 000000000000..565f762ac8a5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @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';
+
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var hconcat = require( './../lib' );
+
+var x = discreteUniform( [ 2, 2 ], 0, 10, {
+ 'dtype': 'generic'
+});
+console.log( ndarray2array( x ) );
+
+var y = discreteUniform( [ 2, 3 ], 0, 10, {
+ 'dtype': 'generic'
+});
+console.log( ndarray2array( y ) );
+
+var out = hconcat( [ x, y ] );
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/lib/assign.js b/lib/node_modules/@stdlib/ndarray/hconcat/lib/assign.js
new file mode 100644
index 000000000000..5416744c4900
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/lib/assign.js
@@ -0,0 +1,70 @@
+/**
+* @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 concat = require( '@stdlib/ndarray/concat' ).assign;
+
+
+// MAIN //
+
+/**
+* Concatenates a list of ndarrays along the last dimension and assigns results to a provided output ndarray.
+*
+* @param {ArrayLikeObject} arrays - array-like object containing input ndarrays
+* @param {ndarrayLike} out - output ndarray
+* @throws {TypeError} first argument must be an array-like object containing one or more ndarrays
+* @throws {TypeError} second argument must be an ndarray-like object
+* @throws {TypeError} second argument must have a valid shape
+* @throws {Error} must provide ndarrays which are broadcast-compatible with one another
+* @throws {Error} must provide ndarrays which can be safely cast to a common data type
+* @throws {Error} input ndarrays must be safely castable to the output ndarray data type
+* @returns {ndarrayLike} output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+*
+* var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+* // returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+*
+* var z = zeros( [ 2, 5 ] );
+* // returns [ [ 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ]
+*
+* var out = assign( [ x, y ], z );
+* // returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+*
+* var bool = ( out === z );
+* // returns true
+*/
+function assign( arrays, out ) {
+ concat( arrays, out, {
+ 'dim': -1
+ });
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = assign;
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/lib/index.js b/lib/node_modules/@stdlib/ndarray/hconcat/lib/index.js
new file mode 100644
index 000000000000..2064d9578c8d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/lib/index.js
@@ -0,0 +1,56 @@
+/**
+* @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';
+
+/**
+* Concatenate a list of ndarrays along the last dimension.
+*
+* @module @stdlib/ndarray/hconcat
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var hconcat = require( '@stdlib/ndarray/hconcat' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+*
+* var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+* // returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+*
+* var out = hconcat( [ x, y ] );
+* // returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var assign = require( './assign.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'assign', assign );
+
+
+// EXPORTS //
+
+module.exports = main;
+
+// exports: { "assign": "main.assign" }
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/lib/main.js b/lib/node_modules/@stdlib/ndarray/hconcat/lib/main.js
new file mode 100644
index 000000000000..678c94a50f77
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/lib/main.js
@@ -0,0 +1,58 @@
+/**
+* @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 concat = require( '@stdlib/ndarray/concat' );
+
+
+// MAIN //
+
+/**
+* Concatenates a list of ndarrays along the last dimension.
+*
+* @param {ArrayLikeObject} arrays - array-like object containing input ndarrays
+* @throws {TypeError} first argument must be an array-like object containing one or more ndarrays
+* @throws {Error} must provide ndarrays which are broadcast-compatible with one another
+* @throws {Error} must provide ndarrays which can be safely cast to a common data type
+* @returns {ndarray} output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+*
+* var y = array( [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ] );
+* // returns [ [ 5.0, 6.0, 7.0 ], [ 8.0, 9.0, 10.0 ] ]
+*
+* var out = hconcat( [ x, y ] );
+* // returns [ [ 1.0, 2.0, 5.0, 6.0, 7.0 ], [ 3.0, 4.0, 8.0, 9.0, 10.0 ] ]
+*/
+function hconcat( arrays ) {
+ return concat( arrays, {
+ 'dim': -1
+ });
+}
+
+
+// EXPORTS //
+
+module.exports = hconcat;
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/package.json b/lib/node_modules/@stdlib/ndarray/hconcat/package.json
new file mode 100644
index 000000000000..7d1cf18a9c0b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/package.json
@@ -0,0 +1,74 @@
+{
+ "name": "@stdlib/ndarray/hconcat",
+ "version": "0.0.0",
+ "description": "Concatenate a list of ndarrays along the last dimension.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdtypes",
+ "types",
+ "data",
+ "structure",
+ "matrix",
+ "vector",
+ "ndarray",
+ "multidimensional",
+ "array",
+ "concatenate",
+ "column",
+ "col",
+ "columns",
+ "join",
+ "concat",
+ "hconcat",
+ "hcat",
+ "column_stack",
+ "hstack",
+ "stack"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/hconcat/test/test.assign.js
new file mode 100644
index 000000000000..56f6c03f4af1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/test/test.assign.js
@@ -0,0 +1,433 @@
+/**
+* @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 tape = require( 'tape' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var empty = require( '@stdlib/ndarray/empty' );
+var assign = require( './../lib/assign.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof assign, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an array-like object', function test( t ) {
+ var values;
+ var out;
+ var i;
+
+ out = zeros( [ 2, 4 ] );
+
+ values = [
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ assign( value, out );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument which is an empty array-like object', function test( t ) {
+ var out = zeros( [ 2, 4 ] );
+ t.throws( bad, TypeError, 'throws an error' );
+ t.end();
+
+ function bad() {
+ assign( [], out );
+ }
+});
+
+tape( 'the function throws an error if provided a first argument containing values which are not ndarrays', function test( t ) {
+ var values;
+ var out;
+ var i;
+
+ out = zeros( [ 2, 4 ] );
+
+ values = [
+ [ 'beep', 'boop' ],
+ [ 1, 2, 3 ],
+ [ null ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ assign( value, out );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not an ndarray', function test( t ) {
+ var values;
+ var x;
+ var y;
+ var i;
+
+ x = zeros( [ 2, 2 ] );
+ y = zeros( [ 2, 2 ] );
+
+ values = [
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ assign( [ x, y ], value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument containing ndarrays which are not broadcast-compatible', function test( t ) {
+ var values;
+ var out;
+ var i;
+
+ out = zeros( [ 3, 4 ] );
+
+ values = [
+ [
+ empty( [ 2, 2 ], {
+ 'dtype': 'float64'
+ }),
+ empty( [ 3, 2 ], {
+ 'dtype': 'float64'
+ })
+ ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ assign( value, out );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument containing ndarrays which do not promote to a common data type', function test( t ) {
+ var values;
+ var out;
+ var i;
+
+ out = zeros( [ 2, 4 ], {
+ 'dtype': 'float64'
+ });
+
+ values = [
+ [
+ empty( [ 2, 2 ], {
+ 'dtype': 'bool'
+ }),
+ empty( [ 2, 2 ], {
+ 'dtype': 'float64'
+ })
+ ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ assign( value, out );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument having a data type to which input ndarrays cannot be safely cast', function test( t ) {
+ var values;
+ var out;
+ var i;
+
+ out = empty( [ 2, 4 ], {
+ 'dtype': 'bool'
+ });
+
+ values = [
+ [
+ empty( [ 2, 2 ], {
+ 'dtype': 'float32'
+ }),
+ empty( [ 2, 2 ], {
+ 'dtype': 'float64'
+ })
+ ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ assign( value, out );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument having an invalid shape', function test( t ) {
+ var values;
+ var out;
+ var i;
+
+ out = zeros( [ 5, 5 ], {
+ 'dtype': 'float64'
+ });
+
+ values = [
+ [
+ empty( [ 2, 2 ], {
+ 'dtype': 'float64'
+ }),
+ empty( [ 2, 2 ], {
+ 'dtype': 'float64'
+ })
+ ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ assign( value, out );
+ };
+ }
+});
+
+tape( 'the function concatenates one-dimensional ndarrays along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+ var z;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+
+ ybuf = new Float64Array( [ 4.0, 5.0 ] );
+ y = new ndarray( 'float64', ybuf, [ 2 ], [ 1 ], 0, 'row-major' );
+
+ z = zeros( [ 5 ], {
+ 'dtype': 'float64'
+ });
+
+ out = assign( [ x, y ], z );
+
+ actual = ndarray2array( z );
+ expected = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+
+ t.strictEqual( out, z, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates two-dimensional ndarrays along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+ var z;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ ybuf = new Float64Array( [ 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+ y = new ndarray( 'float64', ybuf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ z = zeros( [ 2, 5 ], {
+ 'dtype': 'float64'
+ });
+
+ out = assign( [ x, y ], z );
+
+ actual = ndarray2array( z );
+ expected = [
+ [ 1.0, 2.0, 5.0, 6.0, 7.0 ],
+ [ 3.0, 4.0, 8.0, 9.0, 10.0 ]
+ ];
+
+ t.strictEqual( out, z, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates ndarrays along the last dimension (type promotion)', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+ var z;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ ybuf = new Int32Array( [ 5, 6, 7, 8 ] );
+ y = new ndarray( 'int32', ybuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ z = zeros( [ 2, 4 ], {
+ 'dtype': 'float64'
+ });
+
+ out = assign( [ x, y ], z );
+
+ actual = ndarray2array( z );
+ expected = [
+ [ 1.0, 2.0, 5.0, 6.0 ],
+ [ 3.0, 4.0, 7.0, 8.0 ]
+ ];
+
+ t.strictEqual( out, z, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates a single ndarray along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var out;
+ var x;
+ var z;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ z = zeros( [ 2, 2 ], {
+ 'dtype': 'float64'
+ });
+
+ out = assign( [ x ], z );
+
+ actual = ndarray2array( z );
+ expected = [
+ [ 1.0, 2.0 ],
+ [ 3.0, 4.0 ]
+ ];
+
+ t.strictEqual( out, z, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates three-dimensional ndarrays along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+ var z;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2, 2 ], [ 4, 2, 1 ], 0, 'row-major' );
+
+ ybuf = new Float64Array( [ 9.0, 10.0, 11.0, 12.0 ] );
+ y = new ndarray( 'float64', ybuf, [ 2, 2, 1 ], [ 2, 1, 1 ], 0, 'row-major' );
+
+ z = zeros( [ 2, 2, 3 ], {
+ 'dtype': 'float64'
+ });
+
+ out = assign( [ x, y ], z );
+
+ actual = ndarray2array( z );
+ expected = [
+ [
+ [ 1.0, 2.0, 9.0 ],
+ [ 3.0, 4.0, 10.0 ]
+ ],
+ [
+ [ 5.0, 6.0, 11.0 ],
+ [ 7.0, 8.0, 12.0 ]
+ ]
+ ];
+
+ t.strictEqual( out, z, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/test/test.js b/lib/node_modules/@stdlib/ndarray/hconcat/test/test.js
new file mode 100644
index 000000000000..f54eeff98db5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/test/test.js
@@ -0,0 +1,39 @@
+/**
+* @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 tape = require( 'tape' );
+var isMethod = require( '@stdlib/assert/is-method' );
+var hconcat = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof hconcat, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is an `assign` method', function test( t ) {
+ t.strictEqual( isMethod( hconcat, 'assign' ), true, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/hconcat/test/test.main.js b/lib/node_modules/@stdlib/ndarray/hconcat/test/test.main.js
new file mode 100644
index 000000000000..06f982fa079b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/hconcat/test/test.main.js
@@ -0,0 +1,301 @@
+/**
+* @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 tape = require( 'tape' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var getShape = require( '@stdlib/ndarray/shape' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
+var empty = require( '@stdlib/ndarray/empty' );
+var hconcat = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof hconcat, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an array-like object', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ hconcat( value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument which is an empty array-like object', function test( t ) {
+ t.throws( bad, TypeError, 'throws an error' );
+ t.end();
+
+ function bad() {
+ hconcat( [] );
+ }
+});
+
+tape( 'the function throws an error if provided a first argument which is not an array-like object containing ndarrays', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ [ 'beep', 'boop' ],
+ [ 1, 2, 3 ],
+ [ null ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ hconcat( value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument containing ndarrays which are not broadcast-compatible', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ [
+ empty( [ 2, 2 ], {
+ 'dtype': 'float64'
+ }),
+ empty( [ 3, 2 ], {
+ 'dtype': 'float64'
+ })
+ ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ hconcat( value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument containing ndarrays which do not promote to a common data type', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ [
+ empty( [ 2, 2 ], {
+ 'dtype': 'bool'
+ }),
+ empty( [ 2, 2 ], {
+ 'dtype': 'float64'
+ })
+ ]
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ hconcat( value );
+ };
+ }
+});
+
+tape( 'the function concatenates one-dimensional ndarrays along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+
+ ybuf = new Float64Array( [ 4.0, 5.0 ] );
+ y = new ndarray( 'float64', ybuf, [ 2 ], [ 1 ], 0, 'row-major' );
+
+ out = hconcat( [ x, y ] );
+
+ actual = ndarray2array( out );
+ expected = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
+
+ t.strictEqual( String( getDType( out ) ), 'float64', 'returns expected value' );
+ t.deepEqual( getShape( out ), [ 5 ], 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates two-dimensional ndarrays along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ ybuf = new Float64Array( [ 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+ y = new ndarray( 'float64', ybuf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ out = hconcat( [ x, y ] );
+
+ actual = ndarray2array( out );
+ expected = [
+ [ 1.0, 2.0, 5.0, 6.0, 7.0 ],
+ [ 3.0, 4.0, 8.0, 9.0, 10.0 ]
+ ];
+
+ t.strictEqual( String( getDType( out ) ), 'float64', 'returns expected value' );
+ t.deepEqual( getShape( out ), [ 2, 5 ], 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates a single ndarray along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var out;
+ var x;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ out = hconcat( [ x ] );
+
+ actual = ndarray2array( out );
+ expected = [
+ [ 1.0, 2.0 ],
+ [ 3.0, 4.0 ]
+ ];
+
+ t.strictEqual( String( getDType( out ) ), 'float64', 'returns expected value' );
+ t.deepEqual( getShape( out ), [ 2, 2 ], 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates ndarrays along the last dimension (type promotion)', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ ybuf = new Int32Array( [ 5, 6, 7, 8 ] );
+ y = new ndarray( 'int32', ybuf, [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+ out = hconcat( [ x, y ] );
+
+ actual = ndarray2array( out );
+ expected = [
+ [ 1.0, 2.0, 5.0, 6.0 ],
+ [ 3.0, 4.0, 7.0, 8.0 ]
+ ];
+
+ t.strictEqual( String( getDType( out ) ), 'float64', 'returns expected value' );
+ t.deepEqual( getShape( out ), [ 2, 4 ], 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function concatenates three-dimensional ndarrays along the last dimension', function test( t ) {
+ var expected;
+ var actual;
+ var xbuf;
+ var ybuf;
+ var out;
+ var x;
+ var y;
+
+ xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+ x = new ndarray( 'float64', xbuf, [ 2, 2, 2 ], [ 4, 2, 1 ], 0, 'row-major' );
+
+ ybuf = new Float64Array( [ 9.0, 10.0, 11.0, 12.0 ] );
+ y = new ndarray( 'float64', ybuf, [ 2, 2, 1 ], [ 2, 1, 1 ], 0, 'row-major' );
+
+ out = hconcat( [ x, y ] );
+
+ actual = ndarray2array( out );
+ expected = [
+ [
+ [ 1.0, 2.0, 9.0 ],
+ [ 3.0, 4.0, 10.0 ]
+ ],
+ [
+ [ 5.0, 6.0, 11.0 ],
+ [ 7.0, 8.0, 12.0 ]
+ ]
+ ];
+
+ t.strictEqual( String( getDType( out ) ), 'float64', 'returns expected value' );
+ t.deepEqual( getShape( out ), [ 2, 2, 3 ], 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});