diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/README.md b/lib/node_modules/@stdlib/ndarray/unflatten/README.md
new file mode 100644
index 000000000000..a67c001bb48e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/README.md
@@ -0,0 +1,129 @@
+
+
+# unflatten
+
+> Return a read-only view of an input [ndarray][@stdlib/ndarray/ctor] in which a specified dimension is expanded over multiple dimensions.
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var unflatten = require( '@stdlib/ndarray/unflatten' );
+```
+
+#### unflatten( x, dim, sizes )
+
+Returns a read-only view of an input [ndarray][@stdlib/ndarray/ctor] in which a specified dimension is expanded over multiple dimensions.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+// Create a 1-dimensional ndarray:
+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 ]
+
+// Unflatten the first dimension:
+var y = unflatten( x, 0, [ 2, 3 ] );
+// returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ]
+```
+
+The function accepts the following arguments:
+
+- **x**: input [ndarray][@stdlib/ndarray/ctor].
+- **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.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var unflatten = require( '@stdlib/ndarray/unflatten' );
+
+var x = uniform( [ 12 ], -10.0, 10.0 );
+console.log( ndarray2array( x ) );
+
+var y = unflatten( x, 0, [ 3, 4 ] );
+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/unflatten/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/unflatten/benchmark/benchmark.js
new file mode 100644
index 000000000000..fd8ec6c55173
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/benchmark/benchmark.js
@@ -0,0 +1,127 @@
+/**
+* @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 unflatten = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s::1d', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 6 ], { 'dtype': 'float64' } ),
+ empty( [ 6 ], { 'dtype': 'float32' } ),
+ empty( [ 6 ], { 'dtype': 'int32' } ),
+ empty( [ 6 ], { 'dtype': 'complex128' } ),
+ empty( [ 6 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = unflatten( values[ i%values.length ], 0, [ 2, 3 ] );
+ if ( typeof v !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( v ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::2d', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 6 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 6 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 6 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 6 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 6 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = unflatten( values[ i%values.length ], 1, [ 2, 3 ] );
+ if ( typeof v !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ b.toc();
+ if ( !isndarrayLike( v ) ) {
+ b.fail( 'should return an ndarray' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::3d', pkg ), function benchmark( b ) {
+ var values;
+ var v;
+ var i;
+
+ /* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ values = [
+ empty( [ 2, 2, 6 ], { 'dtype': 'float64' } ),
+ empty( [ 2, 2, 6 ], { 'dtype': 'float32' } ),
+ empty( [ 2, 2, 6 ], { 'dtype': 'int32' } ),
+ empty( [ 2, 2, 6 ], { 'dtype': 'complex128' } ),
+ empty( [ 2, 2, 6 ], { 'dtype': 'generic' } )
+ ];
+
+ /* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = unflatten( values[ i%values.length ], 2, [ 2, 3 ] );
+ if ( typeof v !== 'object' ) {
+ b.fail( 'should return an object' );
+ }
+ }
+ 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/unflatten/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/unflatten/docs/repl.txt
new file mode 100644
index 000000000000..8cc08e0a68b6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/docs/repl.txt
@@ -0,0 +1,33 @@
+
+{{alias}}( x, dim, sizes )
+ Returns a read-only view of an input ndarray in which a specified dimension
+ is expanded over multiple dimensions.
+
+ Parameters
+ ----------
+ x: ndarray
+ Input array.
+
+ dim: integer
+ 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: ArrayLikeObject
+ New shape of the unflattened dimension.
+
+ Returns
+ -------
+ out: ndarray
+ Output array.
+
+ Examples
+ --------
+ > var x = {{alias:@stdlib/ndarray/array}}( [ 1, 2, 3, 4, 5, 6 ] )
+ [ 1, 2, 3, 4, 5, 6 ]
+ > var y = {{alias}}( x, 0, [ 2, 3 ] )
+ [ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/unflatten/docs/types/index.d.ts
new file mode 100644
index 000000000000..7fa631bde0b4
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/docs/types/index.d.ts
@@ -0,0 +1,48 @@
+/*
+* @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 { typedndarray } from '@stdlib/types/ndarray';
+import { Collection } from '@stdlib/types/array';
+
+/**
+* Returns a read-only view of an input ndarray in which a specified dimension is expanded over multiple dimensions.
+*
+* @param x - input array
+* @param dim - dimension to be unflattened
+* @param sizes - new shape of the unflattened dimension
+* @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 = unflatten( x, 0, [ 2, 3 ] );
+* // returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ]
+*/
+declare function unflatten = typedndarray>( x: U, dim: number, sizes: Collection ): U;
+
+
+// EXPORTS //
+
+export = unflatten;
diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/unflatten/docs/types/test.ts
new file mode 100644
index 000000000000..ea29afbbbf1d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/docs/types/test.ts
@@ -0,0 +1,88 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import unflatten = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+ const x = zeros( [ 6 ], {
+ 'dtype': 'float64'
+ });
+
+ unflatten( x, 0, [ 2, 3 ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is not provided a first argument which is an ndarray...
+{
+ unflatten( '5', 0, [ 2, 3 ] ); // $ExpectError
+ unflatten( 5, 0, [ 2, 3 ] ); // $ExpectError
+ unflatten( true, 0, [ 2, 3 ] ); // $ExpectError
+ unflatten( false, 0, [ 2, 3 ] ); // $ExpectError
+ unflatten( null, 0, [ 2, 3 ] ); // $ExpectError
+ unflatten( {}, 0, [ 2, 3 ] ); // $ExpectError
+ unflatten( [ '5' ], 0, [ 2, 3 ] ); // $ExpectError
+ unflatten( ( x: number ): number => x, 0, [ 2, 3 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is not provided a second argument which is a number...
+{
+ const x = zeros( [ 6 ], {
+ 'dtype': 'float64'
+ });
+
+ unflatten( x, '5', [ 2, 3 ] ); // $ExpectError
+ unflatten( x, true, [ 2, 3 ] ); // $ExpectError
+ unflatten( x, false, [ 2, 3 ] ); // $ExpectError
+ unflatten( x, null, [ 2, 3 ] ); // $ExpectError
+ unflatten( x, {}, [ 2, 3 ] ); // $ExpectError
+ unflatten( x, [ '5' ], [ 2, 3 ] ); // $ExpectError
+ unflatten( x, ( x: number ): number => x, [ 2, 3 ] ); // $ExpectError
+}
+
+// The compiler throws an error if the function is not provided a third argument which is an array-like object of numbers...
+{
+ const x = zeros( [ 6 ], {
+ 'dtype': 'float64'
+ });
+
+ unflatten( x, 0, '5' ); // $ExpectError
+ unflatten( x, 0, 5 ); // $ExpectError
+ unflatten( x, 0, true ); // $ExpectError
+ unflatten( x, 0, false ); // $ExpectError
+ unflatten( x, 0, null ); // $ExpectError
+ unflatten( x, 0, {} ); // $ExpectError
+ unflatten( x, 0, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = zeros( [ 6 ], {
+ 'dtype': 'float64'
+ });
+
+ unflatten(); // $ExpectError
+ unflatten( x ); // $ExpectError
+ unflatten( x, 0 ); // $ExpectError
+ unflatten( x, 0, [ 2, 3 ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/examples/index.js b/lib/node_modules/@stdlib/ndarray/unflatten/examples/index.js
new file mode 100644
index 000000000000..d80833d19a4c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/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/uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var unflatten = require( './../lib' );
+
+var x = uniform( [ 12 ], -10.0, 10.0 );
+console.log( ndarray2array( x ) );
+
+var y = unflatten( x, 0, [ 3, 4 ] );
+console.log( ndarray2array( y ) );
diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/lib/index.js b/lib/node_modules/@stdlib/ndarray/unflatten/lib/index.js
new file mode 100644
index 000000000000..f0a1b5718123
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/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 read-only view of an input ndarray in which a specified dimension is expanded over multiple dimensions.
+*
+* @module @stdlib/ndarray/unflatten
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var unflatten = require( '@stdlib/ndarray/unflatten' );
+*
+* 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 = unflatten( x, 0, [ 2, 3 ] );
+* // returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/lib/main.js b/lib/node_modules/@stdlib/ndarray/unflatten/lib/main.js
new file mode 100644
index 000000000000..0a0b4153b5a5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/lib/main.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 isNonNegativeIntegerArray = require( '@stdlib/assert/is-nonnegative-integer-array' ).primitives;
+var isInteger = require( '@stdlib/assert/is-integer' ).isPrimitive;
+var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var normalizeIndex = require( '@stdlib/ndarray/base/normalize-index' );
+var getShape = require( '@stdlib/ndarray/base/shape' );
+var base = require( '@stdlib/ndarray/base/unflatten' );
+var format = require( '@stdlib/string/format' );
+
+
+// MAIN //
+
+/**
+* Returns a read-only view of an input ndarray in which a specified dimension is expanded over multiple dimensions.
+*
+* @param {ndarray} x - input array
+* @param {integer} dim - dimension to be unflattened
+* @param {NonNegativeIntegerArray} sizes - new shape of the unflattened dimension
+* @throws {TypeError} first argument must be an ndarray
+* @throws {TypeError} second argument must be an integer
+* @throws {TypeError} third argument must be an array of nonnegative integers
+* @throws {RangeError} must provide a valid dimension index
+* @throws {RangeError} product of the sizes must be equal to the size of the dimension to be unflattened
+* @returns {ndarray} ndarray view
+*
+* @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 = unflatten( x, 0, [ 2, 3 ] );
+* // returns [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ] ]
+*/
+function unflatten( x, dim, sizes ) {
+ var sh;
+ var d;
+ if ( !isndarrayLike( x ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be an ndarray. Value: `%s`.', x ) );
+ }
+ if ( !isInteger( dim ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must be an integer. Value: `%s`.', dim ) );
+ }
+ if ( !isNonNegativeIntegerArray( sizes ) ) {
+ throw new TypeError( format( 'invalid argument. Third argument must be an array of nonnegative integers. Value: `%s`.', sizes ) );
+ }
+ sh = getShape( x, false );
+ d = normalizeIndex( dim, sh.length-1 );
+ if ( d === -1 ) {
+ throw new RangeError( format( 'invalid argument. Dimension index exceeds the number of dimensions. Number of dimensions: %d. Value: `%d`.', sh.length, dim ) );
+ }
+ return base( x, d, sizes, false );
+}
+
+
+// EXPORTS //
+
+module.exports = unflatten;
diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/package.json b/lib/node_modules/@stdlib/ndarray/unflatten/package.json
new file mode 100644
index 000000000000..1feaafa727bc
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/package.json
@@ -0,0 +1,66 @@
+{
+ "name": "@stdlib/ndarray/unflatten",
+ "version": "0.0.0",
+ "description": "Return a read-only view of an input ndarray in which a specified dimension is expanded 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",
+ "data",
+ "structure",
+ "vector",
+ "ndarray",
+ "matrix",
+ "unflatten",
+ "expand",
+ "reshape",
+ "dimensions",
+ "multidimensional"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/unflatten/test/test.js b/lib/node_modules/@stdlib/ndarray/unflatten/test/test.js
new file mode 100644
index 000000000000..c9f9926c8517
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unflatten/test/test.js
@@ -0,0 +1,261 @@
+/**
+* @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 isReadOnly = require( '@stdlib/ndarray/base/assert/is-read-only' );
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var getShape = require( '@stdlib/ndarray/shape' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var unflatten = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof unflatten, '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,
+ 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() {
+ unflatten( value, 0, [ 2, 3 ] );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not an integer', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ values = [
+ '5',
+ 3.14,
+ 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() {
+ unflatten( x, value, [ 2, 3 ] );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a third argument which is not an array of nonnegative integers', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ values = [
+ '5',
+ 5,
+ 3.14,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ [ '5' ],
+ [ 3.14 ],
+ [ -1 ],
+ {},
+ 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() {
+ unflatten( x, 0, value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid dimension index', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ values = [
+ -10,
+ -2,
+ 1,
+ 10
+ ];
+
+ 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() {
+ unflatten( x, value, [ 2, 3 ] );
+ };
+ }
+});
+
+tape( 'the function throws an error if the product of the sizes is not equal to the size of the dimension to be unflattened', function test( t ) {
+ var values;
+ var x;
+ var i;
+
+ x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+ values = [
+ [ 2, 2 ],
+ [ 3, 3 ],
+ [ 1, 2 ],
+ [ 7, 1 ]
+ ];
+
+ 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() {
+ unflatten( x, 0, value );
+ };
+ }
+});
+
+tape( 'the function returns a read-only view of an input ndarray in which a specified dimension is expanded over multiple dimensions', function test( t ) {
+ var expected;
+ var x;
+ var y;
+
+ x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ y = unflatten( x, 0, [ 2, 3 ] );
+
+ expected = [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ]
+ ];
+
+ t.notEqual( y, x, 'returns expected value' );
+ t.deepEqual( getShape( y ), [ 2, 3 ], 'returns expected value' );
+ t.strictEqual( getData( y ), getData( x ), 'returns expected value' );
+ t.strictEqual( isReadOnly( y ), true, '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 x;
+ var y;
+
+ x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+ y = unflatten( x, -1, [ 3, 2 ] );
+
+ expected = [
+ [ 1.0, 2.0 ],
+ [ 3.0, 4.0 ],
+ [ 5.0, 6.0 ]
+ ];
+
+ t.notEqual( y, x, 'returns expected value' );
+ t.deepEqual( getShape( y ), [ 3, 2 ], 'returns expected value' );
+ t.strictEqual( getData( y ), getData( x ), 'returns expected value' );
+ t.strictEqual( isReadOnly( y ), true, 'returns expected value' );
+ t.deepEqual( ndarray2array( y ), expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function expands an interior dimension of a multi-dimensional ndarray', function test( t ) {
+ var expected;
+ var x;
+ var y;
+
+ x = array([
+ [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ],
+ [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ]
+ ]);
+ y = unflatten( x, 1, [ 2, 3 ] );
+
+ expected = [
+ [
+ [ 1.0, 2.0, 3.0 ],
+ [ 4.0, 5.0, 6.0 ]
+ ],
+ [
+ [ 7.0, 8.0, 9.0 ],
+ [ 10.0, 11.0, 12.0 ]
+ ]
+ ];
+
+ t.notEqual( y, x, 'returns expected value' );
+ t.deepEqual( getShape( y ), [ 2, 2, 3 ], 'returns expected value' );
+ t.strictEqual( getData( y ), getData( x ), 'returns expected value' );
+ t.strictEqual( isReadOnly( y ), true, 'returns expected value' );
+ t.deepEqual( ndarray2array( y ), expected, 'returns expected value' );
+
+ t.end();
+});