diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/README.md b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/README.md
new file mode 100644
index 000000000000..6c68c0488dcb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/README.md
@@ -0,0 +1,138 @@
+
+
+# unflattenShape
+
+> Expand a dimension over multiple dimensions.
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var unflattenShape = require( '@stdlib/ndarray/base/unflatten-shape' );
+```
+
+#### unflattenShape( shape, dim, sizes )
+
+Expands a dimension over multiple dimensions.
+
+```javascript
+var sh = unflattenShape( [ 6, 2, 1 ], 0, [ 3, 2 ] );
+// returns [ 3, 2, 2, 1 ]
+```
+
+The function accepts the following parameters:
+
+- **shape**: array shape.
+- **dim**: dimension to be unflattened. If provided an integer less than zero, the dimension index is resolved relative to the last dimension, with the last dimension corresponding to the value `-1`.
+- **sizes**: new shape of the unflattened dimension.
+
+#### unflattenShape.assign( shape, dim, sizes, out )
+
+Expands a dimension over multiple dimensions and assigns results to a provided output array.
+
+```javascript
+var o = [ 0, 0, 0, 0 ];
+
+var out = unflattenShape.assign( [ 6, 2, 1 ], 0, [ 3, 2 ], o );
+// returns [ 3, 2, 2, 1 ]
+
+var bool = ( out === o );
+// returns true
+```
+
+The function accepts the following parameters:
+
+- **shape**: array shape.
+- **dim**: dimension to be unflattened. If provided an integer less than zero, the dimension index is resolved relative to the last dimension, with the last dimension corresponding to the value `-1`.
+- **sizes**: new shape of the unflattened dimension.
+- **out**: output array.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var unflattenShape = require( '@stdlib/ndarray/base/unflatten-shape' );
+
+var out = unflattenShape( [ 2, 4, 1 ], 1, [ 2, 2 ] );
+// returns [ 2, 2, 2, 1 ]
+
+out = unflattenShape( [ 2, 4, 1 ], 1, [ 2, 1, 2 ] );
+// returns [ 2, 2, 1, 2, 1 ]
+
+out = unflattenShape( [ 2, 4, 1 ], 1, [ 2, 1, 1, 2 ] );
+// returns [ 2, 2, 1, 1, 2, 1 ]
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/benchmark/benchmark.js
new file mode 100644
index 000000000000..be0f41d2683c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/benchmark/benchmark.js
@@ -0,0 +1,79 @@
+/**
+* @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 isArray = require( '@stdlib/assert/is-array' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var unflattenShape = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var shape;
+ var sizes;
+ var out;
+ var i;
+
+ shape = [ 5, 9, 3, 4, 2 ];
+ sizes = [ 1, 1, 3 ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = unflattenShape( shape, 2, sizes );
+ if ( out.length !== 7 ) {
+ b.fail( 'should have expected length' );
+ }
+ }
+ b.toc();
+ if ( !isArray( out ) ) {
+ b.fail( 'should return an array' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s:assign', pkg ), function benchmark( b ) {
+ var shape;
+ var sizes;
+ var out;
+ var i;
+
+ shape = [ 5, 9, 3, 4, 2 ];
+ sizes = [ 1, 1, 3 ];
+ out = [ 0, 0, 0, 0, 0, 0, 0 ];
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ out = unflattenShape.assign( shape, 2, sizes, out );
+ if ( out.length !== 7 ) {
+ b.fail( 'should have expected length' );
+ }
+ }
+ b.toc();
+ if ( !isArray( out ) ) {
+ b.fail( 'should return an array' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/repl.txt
new file mode 100644
index 000000000000..0181ef48f1f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/repl.txt
@@ -0,0 +1,67 @@
+
+{{alias}}( shape, dim, sizes )
+ Expands a dimension over multiple dimensions.
+
+ Parameters
+ ----------
+ shape: ArrayLike
+ Array shape.
+
+ dim: integer
+ Dimension to be unflattened. If less than zero, the index is resolved
+ relative to the last dimension, with the last dimension corresponding to
+ the value `-1`.
+
+ sizes: ArrayLike
+ New shape of the unflattened dimension.
+
+ Returns
+ -------
+ out: Array
+ Unflattened shape.
+
+ Examples
+ --------
+ > var sh = [ 6, 2, 1 ];
+ > var sizes = [ 3, 2 ];
+ > var out = {{alias}}( sh, 0, sizes )
+ [ 3, 2, 2, 1 ]
+
+
+{{alias}}.assign( shape, dim, sizes, out )
+ Expands a dimension over multiple dimensions and assigns results to a
+ provided output array.
+
+ Parameters
+ ----------
+ shape: ArrayLike
+ Array shape.
+
+ dim: integer
+ Dimension to be unflattened. If less than zero, the index is resolved
+ relative to the last dimension, with the last dimension corresponding to
+ the value `-1`.
+
+ sizes: ArrayLike
+ New shape of the unflattened dimension.
+
+ out: Array|TypedArray|Object
+ Output array.
+
+ Returns
+ -------
+ out: Array|TypedArray|Object
+ Output array.
+
+ Examples
+ --------
+ > var sh = [ 6, 2, 1 ];
+ > var sizes = [ 3, 2 ];
+ > var o = [ 0, 0, 0, 0 ];
+ > var out = {{alias}}.assign( sh, 0, sizes, o )
+ [ 3, 2, 2, 1 ]
+ > var bool = ( o === out )
+ true
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/types/index.d.ts
new file mode 100644
index 000000000000..b5ba5ecfe585
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/types/index.d.ts
@@ -0,0 +1,90 @@
+/*
+* @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';
+
+/**
+* Interface describing `unflattenShape`.
+*/
+interface Routine {
+ /**
+ * Expands a dimension over multiple dimensions.
+ *
+ * @param shape - array shape
+ * @param dim - dimension to be unflattened
+ * @param sizes - new shape of the unflattened dimension
+ * @returns unflattened shape
+ *
+ * @example
+ * var sh = unflattenShape( [ 6, 2, 1 ], 0, [ 3, 2 ] );
+ * // returns [ 3, 2, 2, 1 ]
+ */
+ ( shape: ArrayLike, dim: number, sizes: ArrayLike ): Array;
+
+ /**
+ * Expands a dimension over multiple dimensions.
+ *
+ * @param shape - array shape
+ * @param dim - dimension to be unflattened
+ * @param sizes - new shape of the unflattened dimension
+ * @param out - output array
+ * @returns unflattened shape
+ *
+ * @example
+ * var o = [ 0, 0, 0, 0 ];
+ *
+ * var out = unflattenShape.assign( [ 6, 2, 1 ], 0, [ 3, 2 ], o );
+ * // returns [ 3, 2, 2, 1 ]
+ *
+ * var bool = ( out === o );
+ * // returns true
+ */
+ assign = ArrayLike>( shape: ArrayLike, dim: number, sizes: ArrayLike, out: T ): T;
+}
+
+/**
+* Expands a dimension over multiple dimensions.
+*
+* @param shape - array shape
+* @param dim - dimension to be unflattened
+* @param sizes - new shape of the unflattened dimension
+* @returns unflattened shape
+*
+* @example
+* var sh = unflattenShape( [ 6, 2, 1 ], 0, [ 3, 2 ] );
+* // returns [ 3, 2, 2, 1 ]
+*
+* @example
+* var o = [ 0, 0, 0, 0 ];
+*
+* var out = unflattenShape.assign( [ 6, 2, 1 ], 0, [ 3, 2 ], o );
+* // returns [ 3, 2, 2, 1 ]
+*
+* var bool = ( out === o );
+* // returns true
+*/
+declare var unflattenShape: Routine;
+
+
+// EXPORTS //
+
+export = unflattenShape;
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/types/test.ts
new file mode 100644
index 000000000000..04a70768f9ed
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/docs/types/test.ts
@@ -0,0 +1,133 @@
+/*
+* @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 unflattenShape = require( './index' );
+
+
+// TESTS //
+
+// The function returns an array of numbers...
+{
+ unflattenShape( [ 6, 2, 1 ], 1, [ 3, 2 ] ); // $ExpectType number[]
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array-like object containing numbers...
+{
+ unflattenShape( true, 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( false, 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( null, 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( undefined, 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( '5', 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ '1', '2' ], 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( {}, 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( ( x: number ): number => x, 1, [ 3, 2 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ unflattenShape( [ 6, 2, 1 ], true, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], false, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], null, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], undefined, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], '5', [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], [ '1', '2' ], [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], {}, [ 3, 2 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], ( x: number ): number => x, [ 3, 2 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not an array-like object containing numbers...
+{
+ unflattenShape( [ 6, 2, 1 ], 1, true ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, false ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, null ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, undefined ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, '5' ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, [ '1', '2' ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, {} ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ unflattenShape(); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ] ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1 ); // $ExpectError
+ unflattenShape( [ 6, 2, 1 ], 1, [ 3, 2 ], {} ); // $ExpectError
+}
+
+// The `assign` method returns an array of numbers...
+{
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectType number[]
+}
+
+// The compiler throws an error if the `assign` method is provided a first argument which is not an array-like object containing numbers...
+{
+ unflattenShape.assign( true, 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( false, 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( null, 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( undefined, 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( '5', 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ '1', '2' ], 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( {}, 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( ( x: number ): number => x, 1, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a second argument which is not a number...
+{
+ unflattenShape.assign( [ 6, 2, 1 ], true, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], false, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], null, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], undefined, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], '5', [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], [ '1', '2' ], [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], {}, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], ( x: number ): number => x, [ 3, 2 ], [ 0, 0, 0, 0 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a third argument which is not an array-like object containing numbers...
+{
+ unflattenShape.assign( [ 6, 2, 1 ], 1, true, [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, false, [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, null, [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, undefined, [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, '5', [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ '1', '2' ], [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, {}, [ 0, 0, 0, 0 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, ( x: number ): number => x, [ 0, 0, 0, 0 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a fourth argument which is not an array-like object containing numbers...
+{
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], true ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], false ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], null ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], undefined ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], '5' ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], [ '1', '2' ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], {} ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided an unsupported number of arguments...
+{
+ unflattenShape.assign(); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1 ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ] ); // $ExpectError
+ unflattenShape.assign( [ 6, 2, 1 ], 1, [ 3, 2 ], [ 0, 0, 0, 0 ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/examples/index.js
new file mode 100644
index 000000000000..1308652521c6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/examples/index.js
@@ -0,0 +1,33 @@
+/**
+* @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 unflattenShape = require( './../lib' );
+
+var out = unflattenShape( [ 2, 4, 1 ], 1, [ 2, 2 ] );
+console.log( out );
+// => [ 2, 2, 2, 1 ]
+
+out = unflattenShape( [ 2, 4, 1 ], 1, [ 2, 1, 2 ] );
+console.log( out );
+// => [ 2, 2, 1, 2, 1 ]
+
+out = unflattenShape( [ 2, 4, 1 ], 1, [ 2, 1, 1, 2 ] );
+console.log( out );
+// => [ 2, 2, 1, 1, 2, 1 ]
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/assign.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/assign.js
new file mode 100644
index 000000000000..f53c05124f7f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/assign.js
@@ -0,0 +1,90 @@
+/**
+* @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 numel = require( '@stdlib/ndarray/base/numel' );
+var normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' );
+var join = require( '@stdlib/array/base/join' );
+var format = require( '@stdlib/string/format' );
+
+
+// MAIN //
+
+/**
+* Expands a dimension over multiple dimensions.
+*
+* @param {NonNegativeIntegerArray} shape - array shape
+* @param {integer} dim - dimension to be unflattened
+* @param {NonNegativeIntegerArray} sizes - new shape of the unflattened dimension
+* @param {NonNegativeIntegerArray} out - output array
+* @throws {RangeError} second argument is out-of-bounds
+* @throws {RangeError} product of the sizes must be equal to the size of the dimension to be unflattened
+* @returns {NonNegativeIntegerArray} unflattened shape
+*
+* @example
+* var o = [ 0, 0, 0, 0 ];
+*
+* var out = unflattenShape( [ 6, 2, 1 ], 0, [ 3, 2 ], o );
+* // returns [ 3, 2, 2, 1 ]
+*
+* var bool = ( out === o );
+* // returns true
+*/
+function unflattenShape( shape, dim, sizes, out ) {
+ var S1;
+ var S2;
+ var N;
+ var d;
+ var i;
+ var j;
+
+ S1 = shape.length;
+ d = normalizeIndex( dim, S1-1 );
+ if ( d < 0 ) {
+ throw new RangeError( format( 'invalid argument. Dimension index exceeds the number of dimensions. Number of dimensions: %d. Value: `%d`.', S1, dim ) );
+ }
+ S2 = sizes.length;
+ N = numel( sizes );
+ if ( N !== shape[ d ] ) {
+ throw new RangeError( format( 'invalid argument. Product of the sizes must be equal to the size of the dimension to be unflattened. Dimension: %d. Size: %d. Value: `[%s]`.', d, shape[ d ], join( sizes, ', ' ) ) );
+ }
+ for ( i = 0; i < d; i++ ) {
+ out[ i ] = shape[ i ];
+ }
+ j = 0;
+ for ( ; i < d+S2; i++ ) {
+ out[ i ] = sizes[ j ];
+ j += 1;
+ }
+ j = d + 1;
+ if ( j < S1 ) {
+ for ( ; i < S1+S2-1; i++ ) {
+ out[ i ] = shape[ j ];
+ j += 1;
+ }
+ }
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = unflattenShape;
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/index.js
new file mode 100644
index 000000000000..cda38fd25023
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/index.js
@@ -0,0 +1,49 @@
+/**
+* @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';
+
+/**
+* Expand a dimension over multiple dimensions.
+*
+* @module @stdlib/ndarray/base/unflatten-shape
+*
+* @example
+* var unflattenShape = require( '@stdlib/ndarray/base/unflatten-shape' );
+*
+* var sh = unflattenShape( [ 6, 2, 1 ], 0, [ 3, 2 ] );
+* // returns [ 3, 2, 2, 1 ]
+*/
+
+// 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/base/unflatten-shape/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/main.js
new file mode 100644
index 000000000000..1b0c1f8c2414
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/lib/main.js
@@ -0,0 +1,52 @@
+/**
+* @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 zeros = require( '@stdlib/array/base/zeros' );
+var assign = require( './assign.js' );
+
+
+// MAIN //
+
+/**
+* Expands a dimension over multiple dimensions.
+*
+* @param {NonNegativeIntegerArray} shape - array shape
+* @param {integer} dim - dimension to be unflattened
+* @param {NonNegativeIntegerArray} sizes - new shape of the unflattened dimension
+* @throws {RangeError} second argument is out-of-bounds
+* @throws {RangeError} product of the sizes must be equal to the size of the dimension to be unflattened
+* @returns {NonNegativeIntegerArray} unflattened shape
+*
+* @example
+* var sh = unflattenShape( [ 6, 2, 1 ], 0, [ 3, 2 ] );
+* // returns [ 3, 2, 2, 1 ]
+*/
+function unflattenShape( shape, dim, sizes ) {
+ var out = zeros( shape.length + sizes.length - 1 );
+ assign( shape, dim, sizes, out );
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = unflattenShape;
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/package.json b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/package.json
new file mode 100644
index 000000000000..3e35ce17a032
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/package.json
@@ -0,0 +1,68 @@
+{
+ "name": "@stdlib/ndarray/base/unflatten-shape",
+ "version": "0.0.0",
+ "description": "Expand a dimension over multiple dimensions.",
+ "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",
+ "ndarray",
+ "shape",
+ "unflatten",
+ "reshape",
+ "multidimensional",
+ "array",
+ "utilities",
+ "utility",
+ "utils",
+ "util"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.assign.js
new file mode 100644
index 000000000000..0c22d0b0194f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.assign.js
@@ -0,0 +1,185 @@
+/**
+* @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 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 second argument which is out-of-bounds', function test( t ) {
+ var values;
+ var shape;
+ var sizes;
+ var out;
+ var i;
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+ out = [ 0, 0, 0 ];
+
+ values = [
+ -3,
+ -4,
+ 2,
+ 3,
+ 4
+ ];
+ 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() {
+ assign( shape, value, sizes, out );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a third argument which is incompatible with the size of a specified dimension', function test( t ) {
+ var values;
+ var shape;
+ var sizes;
+ var out;
+ var i;
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+ out = [ 0, 0, 0 ];
+
+ values = [
+ 0,
+ 1,
+ 2,
+ 3,
+ 5,
+ 6
+ ];
+ 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() {
+ sizes[ 0 ] = value;
+ assign( shape, 0, value, out );
+ };
+ }
+});
+
+tape( 'the function expands a dimension over multiple dimensions and assigns results to an output array', function test( t ) {
+ var expected;
+ var actual;
+ var shape;
+ var sizes;
+ var out;
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+ expected = [ 2, 2, 2 ];
+ out = [ 0, 0, 0 ];
+ actual = assign( shape, 0, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+ expected = [ 2, 2, 2 ];
+ out = [ 0, 0, 0 ];
+ actual = assign( shape, -2, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 2, 1, 10 ];
+ sizes = [ 2, 5 ];
+ expected = [ 2, 1, 2, 5 ];
+ out = [ 0, 0, 0, 0 ];
+ actual = assign( shape, 2, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 2, 1, 10 ];
+ sizes = [ 2, 5 ];
+ expected = [ 2, 1, 2, 5 ];
+ out = [ 0, 0, 0, 0 ];
+ actual = assign( shape, -1, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 1, 4, 3, 2 ];
+ sizes = [ 1, 3 ];
+ expected = [ 1, 4, 1, 3, 2 ];
+ out = [ 0, 0, 0, 0, 0 ];
+ actual = assign( shape, 2, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 1, 4, 3, 2 ];
+ sizes = [ 1, 3 ];
+ expected = [ 1, 4, 1, 3, 2 ];
+ out = [ 0, 0, 0, 0, 0 ];
+ actual = assign( shape, -2, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 12 ];
+ sizes = [ 2, 2, 3 ];
+ expected = [ 2, 2, 3 ];
+ out = [ 0, 0, 0 ];
+ actual = assign( shape, 0, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 12 ];
+ sizes = [ 2, 2, 3 ];
+ expected = [ 2, 2, 3 ];
+ out = [ 0, 0, 0 ];
+ actual = assign( shape, -1, sizes, out );
+
+ t.strictEqual( out, actual, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.js
new file mode 100644
index 000000000000..b3adc48dacb9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/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 unflattenShape = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof unflattenShape, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is an `assign` method', function test( t ) {
+ t.strictEqual( isMethod( unflattenShape, 'assign' ), true, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.main.js b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.main.js
new file mode 100644
index 000000000000..700ab50c4389
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/unflatten-shape/test/test.main.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 tape = require( 'tape' );
+var isArray = require( '@stdlib/assert/is-array' );
+var unflattenShape = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof unflattenShape, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a second argument which is out-of-bounds', function test( t ) {
+ var values;
+ var shape;
+ var sizes;
+ var i;
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+
+ values = [
+ -3,
+ -4,
+ 2,
+ 3,
+ 4
+ ];
+ 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() {
+ unflattenShape( shape, value, sizes );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a third argument which is incompatible with the size of a specified dimension', function test( t ) {
+ var values;
+ var shape;
+ var sizes;
+ var i;
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+
+ values = [
+ 0,
+ 1,
+ 2,
+ 3,
+ 5,
+ 6
+ ];
+ 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() {
+ sizes[ 0 ] = value;
+ unflattenShape( shape, 0, value );
+ };
+ }
+});
+
+tape( 'the function expands a dimension over multiple dimensions', function test( t ) {
+ var expected;
+ var actual;
+ var shape;
+ var sizes;
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+ expected = [ 2, 2, 2 ];
+ actual = unflattenShape( shape, 0, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 4, 2 ];
+ sizes = [ 2, 2 ];
+ expected = [ 2, 2, 2 ];
+ actual = unflattenShape( shape, -2, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 2, 1, 10 ];
+ sizes = [ 2, 5 ];
+ expected = [ 2, 1, 2, 5 ];
+ actual = unflattenShape( shape, 2, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 2, 1, 10 ];
+ sizes = [ 2, 5 ];
+ expected = [ 2, 1, 2, 5 ];
+ actual = unflattenShape( shape, -1, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 1, 4, 3, 2 ];
+ sizes = [ 1, 3 ];
+ expected = [ 1, 4, 1, 3, 2 ];
+ actual = unflattenShape( shape, 2, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 1, 4, 3, 2 ];
+ sizes = [ 1, 3 ];
+ expected = [ 1, 4, 1, 3, 2 ];
+ actual = unflattenShape( shape, -2, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 12 ];
+ sizes = [ 2, 2, 3 ];
+ expected = [ 2, 2, 3 ];
+ actual = unflattenShape( shape, 0, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ shape = [ 12 ];
+ sizes = [ 2, 2, 3 ];
+ expected = [ 2, 2, 3 ];
+ actual = unflattenShape( shape, -1, sizes );
+
+ t.strictEqual( isArray( actual ), true, 'returns expected value' );
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ t.deepEqual( actual, expected, 'returns expected value' );
+
+ t.end();
+});