diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/README.md b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/README.md
new file mode 100644
index 000000000000..07476009c9c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/README.md
@@ -0,0 +1,152 @@
+
+
+# toFlippedlr
+
+> Return a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var toFlippedlr = require( '@stdlib/ndarray/base/to-flippedlr' );
+```
+
+#### toFlippedlr( x )
+
+Returns a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
+
+```javascript
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+var shape = [ 3, 2 ];
+var strides = [ 2, 1 ];
+var offset = 0;
+
+var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+// returns
+
+var sh = x.shape;
+// returns [ 3, 2 ]
+
+var arr = ndarray2array( x );
+// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+
+var y = toFlippedlr( x );
+// returns
+
+sh = y.shape;
+// returns [ 3, 2 ]
+
+arr = ndarray2array( y );
+// returns [ [ 2.0, 1.0 ], [ 4.0, 3.0 ], [ 6.0, 5.0 ] ]
+```
+
+The function accepts the following arguments:
+
+- **x**: input ndarray.
+
+
+
+
+
+
+
+
+
+## Notes
+
+- If provided a zero-dimensional ndarray, as the ndarray has no dimensions to reverse, the function simply returns a copy of the input ndarray.
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var toFlippedlr = require( '@stdlib/ndarray/base/to-flippedlr' );
+
+// Create a linear ndarray buffer:
+var buf = zeroTo( 16 );
+
+// Create a three-dimensional ndarray:
+var x = array( buf, {
+ 'shape': [ 2, 4, 2 ]
+});
+
+// Reverse the order of last dimension:
+var y = toFlippedlr( x );
+// returns
+
+var a = ndarray2array( y );
+console.log( a );
+// => [ [ [ 1, 0 ], [ 3, 2 ], [ 5, 4 ], [ 7, 6 ] ], [ [ 9, 8 ], [ 11, 10 ], [ 13, 12 ], [ 15, 14 ] ] ]
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/benchmark/benchmark.js
new file mode 100644
index 000000000000..225d3597793c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/benchmark/benchmark.js
@@ -0,0 +1,331 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 baseEmpty = require( '@stdlib/ndarray/base/empty' );
+var empty = require( '@stdlib/ndarray/empty' );
+var pkg = require( './../package.json' ).name;
+var toFlippedlr = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg+'::1d,base', function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::1d,non-base', function benchmark( b ) {
+ var values;
+ var out;
+ 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++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::2d,base', function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::2d,non-base', function benchmark( b ) {
+ var values;
+ var out;
+ 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++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::3d,base', function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::3d,non-base', function benchmark( b ) {
+ var values;
+ var out;
+ 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++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::4d,base', function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2, 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::4d,non-base', function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::5d,base', function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ values = [
+ baseEmpty( 'float64', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'float32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'int32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'complex128', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+ baseEmpty( 'generic', [ 2, 2, 2, 2, 2 ], 'row-major' )
+ ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( out ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( pkg+'::5d,non-base', function benchmark( b ) {
+ var values;
+ var out;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = toFlippedlr( values[ i%values.length ] );
+ if ( typeof out !== 'object' ) {
+ b.fail( 'should return an ndarray' );
+ }
+ }
+ 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/base/to-flippedlr/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/repl.txt
new file mode 100644
index 000000000000..f5ea4bbd2cb3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/repl.txt
@@ -0,0 +1,31 @@
+
+{{alias}}( x )
+ Returns a new ndarray where the order of elements along the last dimension
+ of an input ndarray is reversed along each dimension.
+
+ Parameters
+ ----------
+ x: ndarray
+ Input array.
+
+ Returns
+ -------
+ out: ndarray
+ Output array.
+
+ Examples
+ --------
+ > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] )
+
+ > x.shape
+ [ 2, 2 ]
+ > var y = {{alias}}( x )
+
+ > y.shape
+ [ 2, 2 ]
+ > {{alias:@stdlib/ndarray/to-array}}( y )
+ [ [ 2, 1 ], [ 4, 3 ] ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/types/index.d.ts
new file mode 100644
index 000000000000..d1343f93536b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/types/index.d.ts
@@ -0,0 +1,64 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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';
+
+/**
+* Returns a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
+*
+* @param x - input array
+* @returns output array
+*
+* @example
+* var typedarray = require( '@stdlib/array/typed' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+*
+* var buffer = typedarray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], 'float64' );
+* var shape = [ 3, 2 ];
+* var strides = [ 2, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'float64', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* var sh = x.shape;
+* // returns [ 3, 2 ]
+*
+* var arr = ndarray2array( x );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+*
+* var y = toFlippedlr( x );
+* // returns
+*
+* sh = y.shape;
+* // returns [ 3, 2 ]
+*
+* arr = ndarray2array( y );
+* // returns [ [ 2.0, 1.0 ], [ 4.0, 3.0 ], [ 6.0, 5.0 ] ]
+*/
+declare function toFlippedlr( x: T ): T;
+
+
+// EXPORTS //
+
+export = toFlippedlr;
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/types/test.ts
new file mode 100644
index 000000000000..561c93c42716
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/docs/types/test.ts
@@ -0,0 +1,63 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 empty = require( '@stdlib/ndarray/base/empty' );
+import toFlippedlr = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const order = 'row-major';
+ const sh = [ 2, 2 ];
+
+ toFlippedlr( empty( 'float64', sh, order ) ); // $ExpectType float64ndarray
+ toFlippedlr( empty( 'float32', sh, order ) ); // $ExpectType float32ndarray
+ toFlippedlr( empty( 'complex128', sh, order ) ); // $ExpectType complex128ndarray
+ toFlippedlr( empty( 'complex64', sh, order ) ); // $ExpectType complex64ndarray
+ toFlippedlr( empty( 'int32', sh, order ) ); // $ExpectType int32ndarray
+ toFlippedlr( empty( 'int16', sh, order ) ); // $ExpectType int16ndarray
+ toFlippedlr( empty( 'int8', sh, order ) ); // $ExpectType int8ndarray
+ toFlippedlr( empty( 'uint32', sh, order ) ); // $ExpectType uint32ndarray
+ toFlippedlr( empty( 'uint16', sh, order ) ); // $ExpectType uint16ndarray
+ toFlippedlr( empty( 'uint8', sh, order ) ); // $ExpectType uint8ndarray
+ toFlippedlr( empty( 'uint8c', sh, order ) ); // $ExpectType uint8cndarray
+ toFlippedlr( empty( 'generic', sh, order ) ); // $ExpectType genericndarray
+}
+
+// The compiler throws an error if the function is provided an argument which is not an ndarray...
+{
+ toFlippedlr( '10' ); // $ExpectError
+ toFlippedlr( 10 ); // $ExpectError
+ toFlippedlr( false ); // $ExpectError
+ toFlippedlr( true ); // $ExpectError
+ toFlippedlr( null ); // $ExpectError
+ toFlippedlr( [] ); // $ExpectError
+ toFlippedlr( {} ); // $ExpectError
+ toFlippedlr( ( 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' );
+
+ toFlippedlr(); // $ExpectError
+ toFlippedlr( x, {} ); // $ExpectError
+ toFlippedlr( x, 1, '10', {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/examples/index.js
new file mode 100644
index 000000000000..540cefcbc140
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/examples/index.js
@@ -0,0 +1,40 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 zeroTo = require( '@stdlib/array/base/zero-to' );
+var toFlippedlr = require( './../lib' );
+
+// Create a linear ndarray buffer:
+var buf = zeroTo( 16 );
+
+// Create a three-dimensional ndarray:
+var x = array( buf, {
+ 'shape': [ 2, 4, 2 ]
+});
+
+// Reverse the order of last dimension:
+var y = toFlippedlr( x );
+// returns
+
+var a = ndarray2array( y );
+console.log( a );
+// => [ [ [ 1, 0 ], [ 3, 2 ], [ 5, 4 ], [ 7, 6 ] ], [ [ 9, 8 ], [ 11, 10 ], [ 13, 12 ], [ 15, 14 ] ] ]
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/lib/index.js
new file mode 100644
index 000000000000..46db27a1a016
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/lib/index.js
@@ -0,0 +1,62 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 along the last dimension of an input ndarray is reversed.
+*
+* @module @stdlib/ndarray/base/to-flippedlr
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var toFlippedlr = require( '@stdlib/ndarray/base/to-flippedlr' );
+*
+* var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var shape = [ 3, 2 ];
+* var strides = [ 2, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* var sh = x.shape;
+* // returns [ 3, 2 ]
+*
+* var arr = ndarray2array( x );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+*
+* var y = toFlippedlr( x );
+* // returns
+*
+* sh = y.shape;
+* // returns [ 3, 2 ]
+*
+* arr = ndarray2array( y );
+* // returns [ [ 2.0, 1.0 ], [ 4.0, 3.0 ], [ 6.0, 5.0 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/lib/main.js
new file mode 100644
index 000000000000..717ffcc0dcd1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/lib/main.js
@@ -0,0 +1,89 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 ndims = require( '@stdlib/ndarray/base/ndims' );
+var emptyLike = require( '@stdlib/ndarray/base/empty-like' );
+var reverseDimension = require( '@stdlib/ndarray/base/reverse-dimension' );
+var assign = require( '@stdlib/ndarray/base/assign' );
+
+
+// MAIN //
+
+/**
+* Returns a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
+*
+* @param {ndarray} x - input array
+* @returns {ndarray} output array
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+*
+* var buffer = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
+* var shape = [ 3, 2 ];
+* var strides = [ 2, 1 ];
+* var offset = 0;
+*
+* var x = ndarray( 'generic', buffer, shape, strides, offset, 'row-major' );
+* // returns
+*
+* var sh = x.shape;
+* // returns [ 3, 2 ]
+*
+* var arr = ndarray2array( x );
+* // returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
+*
+* var y = toFlippedlr( x );
+* // returns
+*
+* sh = y.shape;
+* // returns [ 3, 2 ]
+*
+* arr = ndarray2array( y );
+* // returns [ [ 2.0, 1.0 ], [ 4.0, 3.0 ], [ 6.0, 5.0 ] ]
+*/
+function toFlippedlr( x ) {
+ var out;
+ var xr;
+
+ // Create an output ndarray with the same shape and data type as the input ndarray:
+ out = emptyLike( x );
+
+ // Check whether we were provided a zero-dimensional array...
+ if ( ndims( x ) === 0 ) {
+ // No last dimension to reverse, so just return a copy:
+ assign( [ x, out ] );
+ return out;
+ }
+ // Create a reversed view of the input ndarray:
+ xr = reverseDimension( x, -1, false );
+
+ // Assign the elements of the reversed input ndarray view to the output ndarray:
+ assign( [ xr, out ] );
+
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = toFlippedlr;
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/package.json b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/package.json
new file mode 100644
index 000000000000..4162b629daba
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/package.json
@@ -0,0 +1,67 @@
+{
+ "name": "@stdlib/ndarray/base/to-flippedlr",
+ "version": "0.0.0",
+ "description": "Return a new ndarray where the order of elements along the last dimension of an input ndarray 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",
+ "base",
+ "data",
+ "structure",
+ "vector",
+ "ndarray",
+ "matrix",
+ "slice",
+ "view",
+ "reverse",
+ "flip",
+ "numpy.fliplr"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/test/test.js b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/test/test.js
new file mode 100644
index 000000000000..77a8be7d9a2e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/to-flippedlr/test/test.js
@@ -0,0 +1,193 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var typedarray = require( '@stdlib/array/typed' );
+var scalar2ndarray = require( '@stdlib/ndarray/base/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var baseCtor = require( '@stdlib/ndarray/base/ctor' );
+var ctor = require( '@stdlib/ndarray/ctor' );
+var ndims = require( '@stdlib/ndarray/base/ndims' );
+var getDType = require( '@stdlib/ndarray/base/dtype' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var getShape = require( '@stdlib/ndarray/base/shape' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var toFlippedlr = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof toFlippedlr, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'when provided a zero-dimensional input array, the function returns a new zero-dimensional array (base)', function test( t ) {
+ var actual;
+ var x;
+
+ x = scalar2ndarray( 3.14, 'float64', 'row-major' );
+
+ actual = toFlippedlr( x );
+ t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
+ t.strictEqual( ndims( actual ), 0, 'returns expected value' );
+ t.strictEqual( String( getDType( actual ) ), String( getDType( x ) ), 'returns expected value' );
+ t.strictEqual( actual.get(), x.get(), 'returns expected value' );
+ t.notEqual( getData( actual ), getData( x ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when provided a zero-dimensional input array, the function returns a new zero-dimensional array (base, offset)', function test( t ) {
+ var actual;
+ var x;
+
+ x = new baseCtor( 'float64', typedarray( zeroTo( 4 ), 'float64' ), [], [ 0 ], 3, 'row-major' );
+
+ actual = toFlippedlr( x );
+ t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
+ t.strictEqual( ndims( actual ), 0, 'returns expected value' );
+ t.strictEqual( String( getDType( actual ) ), String( getDType( x ) ), 'returns expected value' );
+ t.strictEqual( actual.get(), 3, 'returns expected value' );
+ t.notEqual( getData( actual ), getData( x ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where the order of the elements of an input ndarray are reversed along the last dimension (ndims=1)', function test( t ) {
+ var expected;
+ var actual;
+ var buf;
+ var ord;
+ var sh;
+ var st;
+ var o;
+ var x;
+ var i;
+
+ buf = typedarray( zeroTo( 30 ), 'float64' );
+ sh = [ 6 ];
+ st = [ 2 ];
+ o = 4;
+ ord = 'row-major';
+
+ x = new ctor( 'float64', buf, sh, st, o, ord );
+
+ actual = toFlippedlr( x );
+
+ t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
+ t.strictEqual( ndims( actual ), 1, 'returns expected value' );
+ t.strictEqual( numel( getShape( actual ) ), 6, 'returns expected value' );
+ t.strictEqual( String( getDType( actual ) ), String( getDType( x ) ), 'returns expected value' );
+ t.notEqual( getData( actual ), getData( x ), 'returns expected value' );
+
+ expected = [ 14, 12, 10, 8, 6, 4 ];
+ for ( i = 0; i < expected.length; i++ ) {
+ t.strictEqual( actual.iget( i ), expected[ i ], 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where the order of the elements of an input ndarray are reversed along the last dimension (ndims=2)', function test( t ) {
+ var expected;
+ var actual;
+ var buf;
+ var ord;
+ var sh;
+ var st;
+ var o;
+ var x;
+
+ buf = typedarray( zeroTo( 30 ), 'float64' );
+ sh = [ 4, 3 ];
+ st = [ 6, 2 ];
+ o = 4;
+ ord = 'row-major';
+
+ x = new ctor( 'float64', buf, sh, st, o, ord );
+
+ actual = toFlippedlr( x );
+
+ t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
+ t.strictEqual( ndims( actual ), 2, 'returns expected value' );
+ t.deepEqual( getShape( actual ), [ 4, 3 ], 'returns expected value' );
+ t.strictEqual( String( getDType( actual ) ), String( getDType( x ) ), 'returns expected value' );
+ t.notEqual( getData( actual ), getData( x ), 'returns expected value' );
+
+ expected = [
+ [ 8, 6, 4 ],
+ [ 14, 12, 10 ],
+ [ 20, 18, 16 ],
+ [ 26, 24, 22 ]
+ ];
+ actual = ndarray2array( actual );
+ t.deepEqual( actual, expected, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns a new ndarray where the order of the elements of an input ndarray are reversed along the last dimension (ndims=3)', function test( t ) {
+ var expected;
+ var actual;
+ var buf;
+ var ord;
+ var sh;
+ var st;
+ var o;
+ var x;
+
+ buf = typedarray( zeroTo( 100 ), 'float64' );
+ sh = [ 2, 4, 3 ];
+ st = [ 24, 6, 2 ];
+ o = 10;
+ ord = 'row-major';
+
+ x = new ctor( 'float64', buf, sh, st, o, ord );
+
+ actual = toFlippedlr( x );
+
+ t.strictEqual( isndarrayLike( actual ), true, 'returns expected value' );
+ t.strictEqual( ndims( actual ), 3, 'returns expected value' );
+ t.deepEqual( getShape( actual ), [ 2, 4, 3 ], 'returns expected value' );
+ t.strictEqual( String( getDType( actual ) ), String( getDType( x ) ), 'returns expected value' );
+ t.notEqual( getData( actual ), getData( x ), 'returns expected value' );
+
+ expected = [
+ [
+ [ 14, 12, 10 ],
+ [ 20, 18, 16 ],
+ [ 26, 24, 22 ],
+ [ 32, 30, 28 ]
+ ],
+ [
+ [ 38, 36, 34 ],
+ [ 44, 42, 40 ],
+ [ 50, 48, 46 ],
+ [ 56, 54, 52 ]
+ ]
+ ];
+ actual = ndarray2array( actual );
+ t.deepEqual( actual, expected, 'returns expected value' );
+ t.end();
+});