diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/README.md b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/README.md
new file mode 100644
index 000000000000..222ed3364e72
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/README.md
@@ -0,0 +1,126 @@
+
+
+# toReversedDimensions
+
+> Return a new [`ndarray`][@stdlib/ndarray/ctor] where the order of elements of an input [`ndarray`][@stdlib/ndarray/ctor] along specified dimensions is reversed.
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var toReversedDimensions = require( '@stdlib/ndarray/to-reversed-dimensions' );
+```
+
+#### toReversedDimensions( x, dims )
+
+Returns a new [`ndarray`][@stdlib/ndarray/ctor] where the order of elements of an input [`ndarray`][@stdlib/ndarray/ctor] along specified dimensions is reversed.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] );
+// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+
+var y = toReversedDimensions( x, [ 0, 1 ] );
+// returns [ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
+```
+
+The function accepts the following arguments:
+
+- **x**: input [`ndarray`][@stdlib/ndarray/ctor].
+- **dims**: indices of dimensions along which to reverse elements. If a dimension index is provided as an integer less than zero, the dimension index is resolved relative to the last dimension, with the last dimension corresponding to the value `-1`.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var toReversedDimensions = require( '@stdlib/ndarray/to-reversed-dimensions' );
+
+var x = uniform( [ 3, 3, 3 ], -100, 100 );
+console.log( ndarray2array( x ) );
+
+var y = toReversedDimensions( x, [ 0, 2 ] );
+console.log( ndarray2array( y ) );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/benchmark/benchmark.js
new file mode 100644
index 000000000000..73ccd8bb9c85
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/benchmark/benchmark.js
@@ -0,0 +1,223 @@
+/**
+* @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 empty = require( '@stdlib/ndarray/empty' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var toReversedDimensions = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s:ndims=1,dims=[0]', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = toReversedDimensions( values[ i%values.length ], [ 0 ] );
+ 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:ndims=2,dims=[0]', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = toReversedDimensions( values[ i%values.length ], [ 0 ] );
+ 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:ndims=2,dims=[0,1]', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = toReversedDimensions( values[ i%values.length ], [ 0, 1 ] );
+ 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:ndims=3,dims=[0]', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = toReversedDimensions( values[ i%values.length ], [ 0 ] );
+ 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:ndims=3,dims=[0,2]', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = toReversedDimensions( values[ i%values.length ], [ 0, 2 ] );
+ 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:ndims=3,dims=[0,1,2]', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = toReversedDimensions( values[ i%values.length ], [ 0, 1, 2 ] );
+ 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/to-reversed-dimensions/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/repl.txt
new file mode 100644
index 000000000000..f25fc6bf5a39
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/repl.txt
@@ -0,0 +1,31 @@
+
+{{alias}}( x, dims )
+ Returns a new ndarray where the order of elements of an input ndarray along
+ specified dimensions is reversed.
+
+ Parameters
+ ----------
+ x: ndarray
+ Input array.
+
+ dims: ArrayLike
+ Indices of dimensions along which to reverse elements. If a dimension
+ index is provided as an integer less than zero, the dimension index is
+ resolved relative to the last dimension, with the last dimension
+ corresponding to the value `-1`.
+
+ Returns
+ -------
+ out: ndarray
+ Output array.
+
+ Examples
+ --------
+ > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] )
+ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
+ > var y = {{alias}}( x, [ 0, 1 ] )
+ [ [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/types/index.d.ts
new file mode 100644
index 000000000000..a38e1e0b12ab
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/types/index.d.ts
@@ -0,0 +1,47 @@
+/*
+* @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 { ndarray } from '@stdlib/types/ndarray';
+import { Collection } from '@stdlib/types/array';
+
+/**
+* Returns a new ndarray where the order of elements of an input ndarray along specified dimensions is reversed.
+*
+* @param x - input array
+* @param dims - indices of dimensions to reverse
+* @returns output array
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+*
+* var y = toReversedDimensions( x, [ 0, 1 ] );
+* // returns [ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
+*/
+declare function toReversedDimensions( x: T, dims: Collection ): T;
+
+
+// EXPORTS //
+
+export = toReversedDimensions;
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/types/test.ts
new file mode 100644
index 000000000000..289a7b9c0fc7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/types/test.ts
@@ -0,0 +1,69 @@
+/*
+* @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 empty = require( '@stdlib/ndarray/base/empty' );
+import toReversedDimensions = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const order = 'row-major';
+ const sh = [ 2, 2 ];
+
+ toReversedDimensions( empty( 'float64', sh, order ), [ 0 ] ); // $ExpectType float64ndarray
+ toReversedDimensions( empty( 'complex64', sh, order ), [ 1 ] ); // $ExpectType complex64ndarray
+ toReversedDimensions( empty( 'int32', sh, order ), [ -1 ] ); // $ExpectType int32ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an ndarray...
+{
+ toReversedDimensions( '10', [ 0 ] ); // $ExpectError
+ toReversedDimensions( 10, [ 0 ] ); // $ExpectError
+ toReversedDimensions( false, [ 0 ] ); // $ExpectError
+ toReversedDimensions( true, [ 0 ] ); // $ExpectError
+ toReversedDimensions( null, [ 0 ] ); // $ExpectError
+ toReversedDimensions( [], [ 0 ] ); // $ExpectError
+ toReversedDimensions( {}, [ 0 ] ); // $ExpectError
+ toReversedDimensions( ( x: number ): number => x, [ 0 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not an array of integers...
+{
+ const x = empty( 'float64', [ 2, 2 ], 'row-major' );
+
+ toReversedDimensions( x, '1' ); // $ExpectError
+ toReversedDimensions( x, 1 ); // $ExpectError
+ toReversedDimensions( x, false ); // $ExpectError
+ toReversedDimensions( x, true ); // $ExpectError
+ toReversedDimensions( x, null ); // $ExpectError
+ toReversedDimensions( x, {} ); // $ExpectError
+ toReversedDimensions( x, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = empty( 'float64', [ 2, 2 ], 'row-major' );
+
+ toReversedDimensions(); // $ExpectError
+ toReversedDimensions( x ); // $ExpectError
+ toReversedDimensions( x, [ 0 ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/examples/index.js b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/examples/index.js
new file mode 100644
index 000000000000..a59c3d1922e2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/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 uniform = require( '@stdlib/random/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var toReversedDimensions = require( './../lib' );
+
+var x = uniform( [ 3, 3, 3 ], -100, 100 );
+console.log( ndarray2array( x ) );
+
+var y = toReversedDimensions( x, [ 0, 2 ] );
+console.log( ndarray2array( y ) );
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/lib/index.js b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/lib/index.js
new file mode 100644
index 000000000000..5fad7121cc40
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/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 where the order of elements of an input ndarray along specified dimensions is reversed.
+*
+* @module @stdlib/ndarray/to-reversed-dimensions
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var toReversedDimensions = require( '@stdlib/ndarray/to-reversed-dimensions' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+*
+* var y = toReversedDimensions( x, [ 0, 1 ] );
+* // returns [ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/lib/main.js b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/lib/main.js
new file mode 100644
index 000000000000..94e0f2193fa3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/lib/main.js
@@ -0,0 +1,74 @@
+/**
+* @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 isIntegerArray = require( '@stdlib/assert/is-integer-array' ).primitives;
+var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var ndarraylike2ndarray = require( '@stdlib/ndarray/base/ndarraylike2ndarray' );
+var reverseDimensions = require( '@stdlib/ndarray/base/reverse-dimensions' );
+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 where the order of elements of an input ndarray along specified dimensions is reversed.
+*
+* @param {ndarray} x - input array
+* @param {IntegerArray} dims - indices of dimensions to reverse
+* @throws {TypeError} first argument must be an ndarray having one or more dimensions
+* @throws {TypeError} second argument must be an array of integers
+* @throws {RangeError} dimension index exceeds the number of dimensions
+* @throws {Error} must provide unique dimension indices
+* @returns {ndarray} output array
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+*
+* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+*
+* var y = toReversedDimensions( x, [ 0, 1 ] );
+* // returns [ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
+*/
+function toReversedDimensions( x, dims ) {
+ var out;
+ var bv;
+
+ if ( !isndarrayLike( x ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be an ndarray. Value: `%s`.', x ) );
+ }
+ if ( !isIntegerArray( dims ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must be an array of integers. Value: `%s`.', dims ) );
+ }
+ bv = ndarraylike2ndarray( x );
+ bv = reverseDimensions( bv, dims, false );
+ out = emptyLike( bv );
+ assign( [ bv, out ] );
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = toReversedDimensions;
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/package.json b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/package.json
new file mode 100644
index 000000000000..49d50fbd24d3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/package.json
@@ -0,0 +1,65 @@
+{
+ "name": "@stdlib/ndarray/to-reversed-dimensions",
+ "version": "0.0.0",
+ "description": "Return a new ndarray where the order of elements of an input ndarray along specified dimensions is reversed.",
+ "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",
+ "vector",
+ "ndarray",
+ "matrix",
+ "reverse",
+ "dimensions",
+ "flip",
+ "numpy.flip"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/test/test.js b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/test/test.js
new file mode 100644
index 000000000000..7625424e57ea
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/test/test.js
@@ -0,0 +1,341 @@
+/**
+* @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 instanceOf = require( '@stdlib/assert/instance-of' );
+var isEqualDataType = require( '@stdlib/ndarray/base/assert/is-equal-data-type' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var baseCtor = require( '@stdlib/ndarray/base/ctor' );
+var Float64Array = require( '@stdlib/array/float64' );
+var zeroTo = require( '@stdlib/blas/ext/zero-to' );
+var getShape = require( '@stdlib/ndarray/shape' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var toReversedDimensions = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof toReversedDimensions, '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() {
+ toReversedDimensions( value, [ 0 ] );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not an array of integers', function test( t ) {
+ var values;
+ var opts;
+ var x;
+ var i;
+
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = zeroTo( [ 2, 2 ], opts );
+
+ values = [
+ '5',
+ 5,
+ 3.14,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [ '1', '2' ],
+ [ 1.5, 2.5 ],
+ {},
+ 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() {
+ toReversedDimensions( x, value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid dimension index', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ zeros( [ 1 ] ),
+ zeros( [ 1, 1 ] ),
+ zeros( [ 1, 1, 1 ] ),
+ zeros( [ 1, 1, 1, 1 ] )
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ], [ 10 ] ), RangeError, 'throws an error when provided ' + values[ i ].shape.join( 'x' ) );
+ t.throws( badValue( values[ i ], [ -10 ] ), RangeError, 'throws an error when provided ' + values[ i ].shape.join( 'x' ) );
+ }
+ t.end();
+
+ function badValue( x, dims ) {
+ return function badValue() {
+ toReversedDimensions( x, dims );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided duplicate dimension indices', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = zeros( [ 2, 2, 2 ] );
+
+ values = [
+ [ 0, 0 ],
+ [ 1, 1 ],
+ [ 0, -3 ],
+ [ -1, 2 ]
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( dims ) {
+ return function badValue() {
+ toReversedDimensions( x, dims );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a zero-dimensional ndarray', function test( t ) {
+ var x = zeros( [] );
+ t.throws( badValue, TypeError, 'throws an error' );
+ t.end();
+
+ function badValue() {
+ toReversedDimensions( x, [ 0 ] );
+ }
+});
+
+tape( 'the function returns a new ndarray where the order of elements of an input ndarray along specified dimensions is reversed (1D)', function test( t ) {
+ var expected;
+ var opts;
+ var x;
+ var y;
+
+ opts = {
+ 'dtype': 'generic'
+ };
+ x = zeroTo( [ 5 ], opts );
+
+ expected = [ 4, 3, 2, 1, 0 ];
+
+ y = toReversedDimensions( x, [ 0 ] );
+ t.deepEqual( getShape( y ), [ 5 ], '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 where the order of elements of an input ndarray along specified dimensions is reversed (2D)', function test( t ) {
+ var expected;
+ var opts;
+ var x;
+ var y;
+
+ opts = {
+ 'dtype': 'generic',
+ 'dims': [ 0, 1 ]
+ };
+ x = zeroTo( [ 3, 2 ], opts );
+
+ expected = [
+ [ 5, 4 ],
+ [ 3, 2 ],
+ [ 1, 0 ]
+ ];
+
+ y = toReversedDimensions( x, [ 0, 1 ] );
+ 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 where the order of elements of an input ndarray along specified dimensions is reversed (3D)', function test( t ) {
+ var expected;
+ var opts;
+ var x;
+ var y;
+
+ opts = {
+ 'dtype': 'generic',
+ 'dims': [ 0, 1, 2 ]
+ };
+ x = zeroTo( [ 2, 3, 2 ], opts );
+
+ expected = [
+ [
+ [ 11, 10 ],
+ [ 9, 8 ],
+ [ 7, 6 ]
+ ],
+ [
+ [ 5, 4 ],
+ [ 3, 2 ],
+ [ 1, 0 ]
+ ]
+ ];
+
+ y = toReversedDimensions( x, [ 0, 1, 2 ] );
+ 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 reversing a subset of dimensions', function test( t ) {
+ var expected;
+ var opts;
+ var x;
+ var y;
+
+ opts = {
+ 'dtype': 'generic',
+ 'dims': [ 0, 1, 2 ]
+ };
+ x = zeroTo( [ 2, 3, 2 ], opts );
+
+ expected = [
+ [
+ [ 7, 6 ],
+ [ 9, 8 ],
+ [ 11, 10 ]
+ ],
+ [
+ [ 1, 0 ],
+ [ 3, 2 ],
+ [ 5, 4 ]
+ ]
+ ];
+
+ y = toReversedDimensions( x, [ 0, 2 ] );
+ 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 negative dimension indices', function test( t ) {
+ var expected;
+ var opts;
+ var x;
+ var y;
+
+ opts = {
+ 'dtype': 'generic',
+ 'dims': [ 0, 1, 2 ]
+ };
+ x = zeroTo( [ 2, 3, 2 ], opts );
+
+ expected = [
+ [
+ [ 1, 0 ],
+ [ 3, 2 ],
+ [ 5, 4 ]
+ ],
+ [
+ [ 7, 6 ],
+ [ 9, 8 ],
+ [ 11, 10 ]
+ ]
+ ];
+
+ y = toReversedDimensions( x, [ -1 ] );
+ 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 returns a top-level ndarray even when provided a base ndarray as input', function test( t ) {
+ var expected;
+ var buf;
+ var x;
+ var y;
+
+ buf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ x = new baseCtor( 'float64', buf, [ 2, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+ expected = [
+ [ 6.0, 5.0, 4.0 ],
+ [ 3.0, 2.0, 1.0 ]
+ ];
+
+ y = toReversedDimensions( x, [ 0, 1 ] );
+ t.strictEqual( instanceOf( y, ndarray ), true, 'returns expected value' );
+ t.deepEqual( ndarray2array( y ), expected, 'returns expected value' );
+
+ t.end();
+});