diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/README.md b/lib/node_modules/@stdlib/ndarray/to-transposed/README.md
new file mode 100644
index 000000000000..cfbd27ce49c1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/README.md
@@ -0,0 +1,132 @@
+<!--
+
+@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.
+
+-->
+
+# toTransposed
+
+> Return a new [`ndarray`][@stdlib/ndarray/ctor] containing the elements of an input [`ndarray`][@stdlib/ndarray/ctor] but whose last two dimensions are transposed.
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro section element. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- Package usage documentation. -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var toTransposed = require( '@stdlib/ndarray/to-transposed' );
+```
+
+#### toTransposed( x )
+
+Returns a new [`ndarray`][@stdlib/ndarray/ctor] containing the elements of an input [`ndarray`][@stdlib/ndarray/ctor] but whose last two dimensions are transposed.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );
+// returns <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+
+var y = toTransposed( x );
+// returns <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ]
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [`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">
+
+## Notes
+
+-   The function operates on a stack of matrices, transposing the last two dimensions of the input ndarray.
+-   The input ndarray must have at least two dimensions.
+
+</section>
+
+<!-- /.notes -->
+
+<!-- Package usage examples. -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var toTransposed = require( '@stdlib/ndarray/to-transposed' );
+
+var x = array( [ [ [ 1, 2, 3 ], [ 4, 5, 6 ] ], [ [ 7, 8, 9 ], [ 10, 11, 12 ] ] ] );
+console.log( ndarray2array( x ) );
+
+var y = toTransposed( x );
+console.log( ndarray2array( y ) );
+```
+
+</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
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/to-transposed/benchmark/benchmark.js
new file mode 100644
index 000000000000..317901ea4b1a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/benchmark/benchmark.js
@@ -0,0 +1,173 @@
+/**
+* @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 toTransposed = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s:ctor=base,ndims=2', pkg ), function benchmark( b ) {
+	var strides;
+	var buffer;
+	var offset;
+	var dtype;
+	var order;
+	var shape;
+	var out;
+	var i;
+	var x;
+
+	dtype = 'float64';
+	buffer = new Float64Array( 24 );
+	shape = [ 4, 6 ];
+	strides = [ 6, 1 ];
+	offset = 0;
+	order = 'row-major';
+
+	x = ndarrayBase( dtype, buffer, shape, strides, offset, order );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = toTransposed( x );
+		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=ndarray,ndims=2', pkg ), function benchmark( b ) {
+	var strides;
+	var buffer;
+	var offset;
+	var dtype;
+	var order;
+	var shape;
+	var out;
+	var i;
+	var x;
+
+	dtype = 'float64';
+	buffer = new Float64Array( 24 );
+	shape = [ 4, 6 ];
+	strides = [ 6, 1 ];
+	offset = 0;
+	order = 'row-major';
+
+	x = ndarray( dtype, buffer, shape, strides, offset, order );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = toTransposed( x );
+		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=base,ndims=3', pkg ), function benchmark( b ) {
+	var strides;
+	var buffer;
+	var offset;
+	var dtype;
+	var order;
+	var shape;
+	var out;
+	var i;
+	var x;
+
+	dtype = 'float64';
+	buffer = new Float64Array( 24 );
+	shape = [ 2, 4, 3 ];
+	strides = [ 12, 3, 1 ];
+	offset = 0;
+	order = 'row-major';
+
+	x = ndarrayBase( dtype, buffer, shape, strides, offset, order );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = toTransposed( x );
+		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=ndarray,ndims=3', pkg ), function benchmark( b ) {
+	var strides;
+	var buffer;
+	var offset;
+	var dtype;
+	var order;
+	var shape;
+	var out;
+	var i;
+	var x;
+
+	dtype = 'float64';
+	buffer = new Float64Array( 24 );
+	shape = [ 2, 4, 3 ];
+	strides = [ 12, 3, 1 ];
+	offset = 0;
+	order = 'row-major';
+
+	x = ndarray( dtype, buffer, shape, strides, offset, order );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = toTransposed( x );
+		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();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/to-transposed/docs/repl.txt
new file mode 100644
index 000000000000..6646f269c237
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/docs/repl.txt
@@ -0,0 +1,29 @@
+
+{{alias}}( x )
+    Returns a new ndarray containing the elements of an input ndarray but whose
+    last two dimensions are transposed.
+
+    The function operates on a stack of matrices, transposing the last two
+    dimensions of the input ndarray.
+
+    The input ndarray must have at least two dimensions.
+
+    Parameters
+    ----------
+    x: ndarray
+        Input array.
+
+    Returns
+    -------
+    out: ndarray
+        Output array.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] )
+    <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+    > var y = {{alias}}( x )
+    <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ]
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/to-transposed/docs/types/index.d.ts
new file mode 100644
index 000000000000..17a735ffabfc
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/docs/types/index.d.ts
@@ -0,0 +1,50 @@
+/*
+* @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
+
+/// <reference types="@stdlib/types"/>
+
+import { ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Returns a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed.
+*
+* ## Notes
+*
+* -   The function operates on a stack of matrices, transposing the last two dimensions of the input ndarray.
+* -   The input ndarray must have at least two dimensions.
+*
+* @param x - input array
+* @returns output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );
+* // returns <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+*
+* var y = toTransposed( x );
+* // returns <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ]
+*/
+declare function toTransposed<T extends ndarray = ndarray>( x: T ): T;
+
+
+// EXPORTS //
+
+export = toTransposed;
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/to-transposed/docs/types/test.ts
new file mode 100644
index 000000000000..977dee2d20ed
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/docs/types/test.ts
@@ -0,0 +1,54 @@
+/*
+* @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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import toTransposed = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 2, 3 ], {
+		'dtype': 'float64'
+	});
+
+	toTransposed( x ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is not provided a first argument which is an ndarray...
+{
+	toTransposed( true ); // $ExpectError
+	toTransposed( false ); // $ExpectError
+	toTransposed( null ); // $ExpectError
+	toTransposed( undefined ); // $ExpectError
+	toTransposed( '5' ); // $ExpectError
+	toTransposed( [ '1', '2' ] ); // $ExpectError
+	toTransposed( {} ); // $ExpectError
+	toTransposed( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 2, 3 ] );
+
+	toTransposed(); // $ExpectError
+	toTransposed( x, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/examples/index.js b/lib/node_modules/@stdlib/ndarray/to-transposed/examples/index.js
new file mode 100644
index 000000000000..2d71af37dd7f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/examples/index.js
@@ -0,0 +1,29 @@
+/**
+* @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 array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var toTransposed = require( './../lib' );
+
+var x = array( [ [ [ 1, 2, 3 ], [ 4, 5, 6 ] ], [ [ 7, 8, 9 ], [ 10, 11, 12 ] ] ] );
+console.log( ndarray2array( x ) );
+
+var y = toTransposed( x );
+console.log( ndarray2array( y ) );
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/lib/index.js b/lib/node_modules/@stdlib/ndarray/to-transposed/lib/index.js
new file mode 100644
index 000000000000..56591282a4cc
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/lib/index.js
@@ -0,0 +1,44 @@
+/**
+* @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';
+
+/**
+* Return a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed.
+*
+* @module @stdlib/ndarray/to-transposed
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var toTransposed = require( '@stdlib/ndarray/to-transposed' );
+*
+* var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );
+* // returns <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+*
+* var y = toTransposed( x );
+* // returns <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/lib/main.js b/lib/node_modules/@stdlib/ndarray/to-transposed/lib/main.js
new file mode 100644
index 000000000000..c74385e3be57
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/lib/main.js
@@ -0,0 +1,76 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var ndims = require( '@stdlib/ndarray/base/ndims' );
+var ndarraylike2ndarray = require( '@stdlib/ndarray/base/ndarraylike2ndarray' );
+var transpose = require( '@stdlib/ndarray/base/transpose' );
+var emptyLike = require( '@stdlib/ndarray/empty-like' );
+var assign = require( '@stdlib/ndarray/base/assign' );
+var format = require( '@stdlib/string/format' );
+
+
+// MAIN //
+
+/**
+* Returns a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed.
+*
+* ## Notes
+*
+* -   The function operates on a stack of matrices, transposing the last two dimensions of the input ndarray.
+* -   The input ndarray must have at least two dimensions.
+*
+* @param {ndarray} x - input array
+* @throws {TypeError} must provide an ndarray
+* @throws {RangeError} must provide an ndarray having two or more dimensions
+* @returns {ndarray} output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );
+* // returns <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+*
+* var y = toTransposed( x );
+* // returns <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ]
+*/
+function toTransposed( x ) {
+	var out;
+	var bv;
+
+	if ( !isndarrayLike( x ) ) {
+		throw new TypeError( format( 'invalid argument. Must provide an ndarray. Value: `%s`.', x ) );
+	}
+	if ( ndims( x ) < 2 ) {
+		throw new RangeError( format( 'invalid argument. Must provide an ndarray having two or more dimensions. Number of dimensions: `%u`.', ndims( x ) ) );
+	}
+	bv = ndarraylike2ndarray( x );
+	bv = transpose( bv, false );
+	out = emptyLike( bv );
+	assign( [ bv, out ] );
+	return out;
+}
+
+
+// EXPORTS //
+
+module.exports = toTransposed;
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/package.json b/lib/node_modules/@stdlib/ndarray/to-transposed/package.json
new file mode 100644
index 000000000000..e9a915439e50
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/package.json
@@ -0,0 +1,74 @@
+{
+  "name": "@stdlib/ndarray/to-transposed",
+  "version": "0.0.0",
+  "description": "Return a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed.",
+  "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",
+    "ndarray",
+    "matrix",
+    "transpose",
+    "transposed",
+    "to-transposed",
+    "stack",
+    "permute",
+    "swap",
+    "swapaxes",
+    "dimension",
+    "multidimensional",
+    "array",
+    "utilities",
+    "utility",
+    "utils",
+    "util"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/to-transposed/test/test.js b/lib/node_modules/@stdlib/ndarray/to-transposed/test/test.js
new file mode 100644
index 000000000000..b3976dcb1e01
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-transposed/test/test.js
@@ -0,0 +1,179 @@
+/**
+* @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 isEqualDataType = require( '@stdlib/ndarray/base/assert/is-equal-data-type' );
+var zeroTo = require( '@stdlib/blas/ext/zero-to' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var getShape = require( '@stdlib/ndarray/shape' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var toTransposed = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof toTransposed, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an ndarray', 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() {
+			toTransposed( value );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an ndarray having fewer than two dimensions', function test( t ) {
+	var values;
+	var opts;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+
+	values = [
+		zeros( [], opts ),
+		zeros( [ 6 ], opts )
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			toTransposed( value );
+		};
+	}
+});
+
+tape( 'the function returns a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed (2D)', function test( t ) {
+	var expected;
+	var opts;
+	var x;
+	var y;
+
+	opts = {
+		'dtype': 'generic',
+		'dims': [ 0, 1 ]
+	};
+	x = zeroTo( [ 2, 3 ], opts );
+
+	expected = [
+		[ 0, 3 ],
+		[ 1, 4 ],
+		[ 2, 5 ]
+	];
+
+	y = toTransposed( x );
+
+	t.deepEqual( getShape( y ), [ 3, 2 ], 'returns expected value' );
+	t.strictEqual( isEqualDataType( getDType( y ), getDType( x ) ), true, 'returns expected value' );
+	t.notEqual( getData( y ), getData( x ), 'returns expected value' );
+	t.deepEqual( ndarray2array( y ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed (stack of matrices)', function test( t ) {
+	var expected;
+	var opts;
+	var x;
+	var y;
+
+	opts = {
+		'dtype': 'generic',
+		'dims': [ 0, 1, 2 ]
+	};
+	x = zeroTo( [ 2, 2, 3 ], opts );
+
+	expected = [
+		[ [ 0, 3 ], [ 1, 4 ], [ 2, 5 ] ],
+		[ [ 6, 9 ], [ 7, 10 ], [ 8, 11 ] ]
+	];
+
+	y = toTransposed( x );
+
+	t.deepEqual( getShape( y ), [ 2, 3, 2 ], 'returns expected value' );
+	t.strictEqual( isEqualDataType( getDType( y ), getDType( x ) ), true, 'returns expected value' );
+	t.notEqual( getData( y ), getData( x ), 'returns expected value' );
+	t.deepEqual( ndarray2array( y ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports column-major order', function test( t ) {
+	var expected;
+	var opts;
+	var x;
+	var y;
+
+	opts = {
+		'dtype': 'generic',
+		'order': 'column-major',
+		'dims': [ 0, 1 ]
+	};
+	x = zeroTo( [ 2, 3 ], opts );
+
+	expected = [
+		[ 0, 1 ],
+		[ 2, 3 ],
+		[ 4, 5 ]
+	];
+
+	y = toTransposed( x );
+
+	t.deepEqual( getShape( y ), [ 3, 2 ], 'returns expected value' );
+	t.strictEqual( isEqualDataType( getDType( y ), getDType( x ) ), true, 'returns expected value' );
+	t.notEqual( getData( y ), getData( x ), 'returns expected value' );
+	t.deepEqual( ndarray2array( y ), expected, 'returns expected value' );
+
+	t.end();
+});