From 9e9557afee0054d1bfee2883135fc2dc159a6f5c Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Mon, 15 Dec 2025 20:08:41 +0500
Subject: [PATCH 01/14] feat: add ndarray/unshift

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
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    status: passed
  - task: lint_editorconfig
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  - task: lint_markdown
    status: passed
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    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
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  - task: lint_javascript_examples
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---
---
 .../@stdlib/ndarray/unshift/README.md         | 155 +++++++++++
 .../unshift/benchmark/benchmark.assign.js     | 115 ++++++++
 .../ndarray/unshift/benchmark/benchmark.js    | 109 ++++++++
 .../@stdlib/ndarray/unshift/docs/repl.txt     |  60 ++++
 .../ndarray/unshift/docs/types/index.d.ts     | 119 ++++++++
 .../ndarray/unshift/docs/types/test.ts        |  93 +++++++
 .../@stdlib/ndarray/unshift/examples/index.js |  33 +++
 .../@stdlib/ndarray/unshift/lib/assign.js     |  93 +++++++
 .../@stdlib/ndarray/unshift/lib/index.js      |  56 ++++
 .../@stdlib/ndarray/unshift/lib/main.js       |  81 ++++++
 .../@stdlib/ndarray/unshift/package.json      |  66 +++++
 .../ndarray/unshift/test/test.assign.js       | 263 ++++++++++++++++++
 .../@stdlib/ndarray/unshift/test/test.js      |  39 +++
 .../@stdlib/ndarray/unshift/test/test.main.js | 186 +++++++++++++
 14 files changed, 1468 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/README.md
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/package.json
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/test/test.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/README.md b/lib/node_modules/@stdlib/ndarray/unshift/README.md
new file mode 100644
index 000000000000..0e3aaef8ec43
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/README.md
@@ -0,0 +1,155 @@
+<!--
+
+@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.
+
+-->
+
+# unshift
+
+> Return a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to the input ndarray.
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- Package usage documentation. -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var unshift = require( '@stdlib/ndarray/unshift' );
+```
+
+#### unshift( x, ...values )
+
+Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to the input ndarray.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+
+var out = unshift( x, -2.0, -1.0, 0.0 );
+// returns <ndarray>
+
+var arr = ndarray2array( out );
+// returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [ndarray][@stdlib/ndarray/ctor].
+-   **...values**: scalar values to prepend.
+
+#### unshift.assign( x, ...values, out )
+
+Prepends the provided scalar values to the input [ndarray][@stdlib/ndarray/ctor] and assigns the result to a provided one-dimensional output [ndarray][@stdlib/ndarray/ctor].
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+var y = zeros( [ 7 ] );
+
+var out = unshift.assign( x, -2.0, -1.0, 0.0, y );
+// returns <ndarray>
+
+var bool = ( out === y );
+// returns true
+
+var arr = ndarray2array( y );
+// returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [ndarray][@stdlib/ndarray/ctor].
+-   **...values**: scalar values to prepend.
+-   **out**: output [ndarray][@stdlib/ndarray/ctor].
+
+</section>
+
+<!-- /.usage -->
+
+<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- Package usage examples. -->
+
+<section class="examples">
+
+## Examples
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var unshift = require( '@stdlib/ndarray/unshift' );
+
+var opts = {
+    'dtype': 'generic'
+};
+var x = array( discreteUniform( 6, 0, 10, opts ), opts );
+console.log( ndarray2array( x ) );
+
+var out = unshift( x, -2.0, -1.0, 0.0 );
+console.log( ndarray2array( out ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js
new file mode 100644
index 000000000000..e90d239fd5c7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js
@@ -0,0 +1,115 @@
+/**
+* @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 zeros = require( '@stdlib/ndarray/zeros' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var unshift = require( './../lib/assign.js' );
+
+
+// MAIN //
+
+bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var out;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+	out = zeros( [ 5 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = unshift( x, 1.0, 2.0, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var out;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+	out = zeros( [ 7 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = unshift( x, 1.0, 2.0, 3.0, 4.0, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::six scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var out;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+	out = zeros( [ 9 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = unshift( x, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, out );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js
new file mode 100644
index 000000000000..8917e5759ac3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js
@@ -0,0 +1,109 @@
+/**
+* @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 zeros = require( '@stdlib/ndarray/zeros' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var unshift = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = unshift( x, 1.0, 2.0 );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = unshift( x, 1.0, 2.0, 3.0, 4.0 );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::six scalar values', pkg ), function benchmark( b ) {
+	var opts;
+	var v;
+	var x;
+	var i;
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = zeros( [ 3 ], opts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		v = unshift( x, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 );
+		if ( typeof v !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( v ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
new file mode 100644
index 000000000000..5a318cc50b69
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
@@ -0,0 +1,60 @@
+
+{{alias}}( x, ...values )
+    Returns a one-dimensional ndarray formed by prepending the provided scalar
+    values to the input ndarray.
+
+    Parameters
+    ----------
+    x: ndarray
+        Input ndarray.
+
+    values: ...any
+        Scalar values to prepend.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/array}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var out = {{alias}}( x, -1.0, 0.0 )
+    <ndarray>
+    > var arr = {{alias:@stdlib/ndarray/to-array}}( out )
+    [ -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+
+
+{{alias}}.assign( x, ...values, out )
+    Prepends the provided scalar values to the input ndarray and assigns results
+    to an output ndarray.
+
+    Parameters
+    ----------
+    x: ndarray
+        Input ndarray.
+
+    values: ...any
+        Scalar values to prepend.
+
+    out: ndarray
+        Output ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/array}}( [ 1.0, 2.0 ] );
+    > var y = {{alias:@stdlib/ndarray/array}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+    > var out = {{alias}}.assign( x, -1.0, 0.0, y )
+    <ndarray>
+    > var bool = ( out === y )
+    true
+    > var arr = {{alias:@stdlib/ndarray/to-array}}( y )
+    [ -1.0, 0.0, 1.0, 2.0 ]
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
new file mode 100644
index 000000000000..043ca97b6036
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
@@ -0,0 +1,119 @@
+/*
+* @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
+
+/// <reference types="@stdlib/types"/>
+
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Interface describing `unshift`.
+*/
+interface Unshift {
+	/**
+	* Returns a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+	*
+	* @param x - input ndarray
+	* @param values - scalar values
+	* @returns output ndarray
+	*
+	* @example
+	* var array = require( '@stdlib/ndarray/array' );
+	* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+	*
+	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	*
+	* var out = unshift( x, -2.0, -1.0, 0.0 );
+	* // returns <ndarray>
+	*
+	* var arr = ndarray2array( out );
+	* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	*/
+	<T = unknown>( x: typedndarray<T>, ...values: Array<T> ): typedndarray<T>;
+
+	/**
+	* Prepends the provided scalar values to the input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	*
+	* @param x - input ndarray
+	* @param values - scalar values
+	* @param out - output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var array = require( '@stdlib/ndarray/array' );
+	* var empty = require( '@stdlib/ndarray/empty' );
+	* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+	*
+	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var y = empty( [ 7 ] );
+	*
+	* var out = unshift.assign( x, -2.0, -1.0, 0.0, y );
+	* // returns <ndarray>
+	*
+	* var bool = ( out === y );
+	* // returns true
+	*
+	* var arr = ndarray2array( y );
+	* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	*/
+	assign<T = unknown, U = unknown, V extends typedndarray<U> = typedndarray<U>>( x: typedndarray<T>, ...values: Array<T>, out: V ): V;
+}
+
+/**
+* Returns a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+*
+* @param x - input ndarray
+* @param values - scalar values
+* @returns output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+*
+* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = unshift( x, -2.0, -1.0, 0.0 );
+* // returns <ndarray>
+*
+* var arr = ndarray2array( out );
+* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var empty = require( '@stdlib/ndarray/empty' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+*
+* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var y = empty( [ 7 ] );
+*
+* var out = unshift.assign( x, -2.0, -1.0, 0.0, y );
+* // returns <ndarray>
+*
+* var bool = ( out === y );
+* // returns true
+*
+* var arr = ndarray2array( y );
+* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+declare var unshift: Unshift;
+
+
+// EXPORTS //
+
+export = unshift;
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts
new file mode 100644
index 000000000000..21b00fd54f13
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts
@@ -0,0 +1,93 @@
+/*
+* @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.
+*/
+
+/// <reference types="@stdlib/types"/>
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import unshift = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	unshift( x, 1.0 ); // $ExpectType typedndarray<number>
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an ndarray...
+{
+	unshift( '10', 1.0 ); // $ExpectError
+	unshift( 10, 1.0 ); // $ExpectError
+	unshift( false, 1.0 ); // $ExpectError
+	unshift( true, 1.0 ); // $ExpectError
+	unshift( null, 1.0 ); // $ExpectError
+	unshift( [], 1.0 ); // $ExpectError
+	unshift( {}, 1.0 ); // $ExpectError
+	unshift( ( x: number ): number => x, 1.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	unshift(); // $ExpectError
+}
+
+// Attached to the function is an `assign` method which returns an ndarray...
+{
+	const x = zeros( [ 2 ] );
+	const out = zeros( [ 3 ] );
+
+	unshift.assign( x, 1.0, out ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the assign method is provided a first argument which is not an ndarray...
+{
+	const out = zeros( [ 3 ] );
+
+	unshift.assign( '10', 1.0, out ); // $ExpectError
+	unshift.assign( 10, 1.0, out ); // $ExpectError
+	unshift.assign( false, 1.0, out ); // $ExpectError
+	unshift.assign( true, 1.0, out ); // $ExpectError
+	unshift.assign( null, 1.0, out ); // $ExpectError
+	unshift.assign( [], 1.0, out ); // $ExpectError
+	unshift.assign( {}, 1.0, out ); // $ExpectError
+	unshift.assign( ( x: number ): number => x, 1.0, out ); // $ExpectError
+}
+
+// The compiler throws an error if the assign method is provided an output argument which is not an ndarray...
+{
+	const x = zeros( [ 3 ] );
+
+	unshift.assign( x, 1.0, '10' ); // $ExpectError
+	unshift.assign( x, 1.0, 10 ); // $ExpectError
+	unshift.assign( x, 1.0, false ); // $ExpectError
+	unshift.assign( x, 1.0, true ); // $ExpectError
+	unshift.assign( x, 1.0, null ); // $ExpectError
+	unshift.assign( x, 1.0, [] ); // $ExpectError
+	unshift.assign( x, 1.0, {} ); // $ExpectError
+	unshift.assign( x, 1.0, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	unshift.assign(); // $ExpectError
+	unshift.assign( x ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
new file mode 100644
index 000000000000..97c9e6eb3f9e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
@@ -0,0 +1,33 @@
+/**
+* @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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var unshift = require( './../lib' );
+
+var opts = {
+	'dtype': 'generic'
+};
+var x = array( discreteUniform( 6, 0, 10, opts ), opts );
+console.log( ndarray2array( x ) );
+
+var out = unshift( x, -2.0, -1.0, 0.0 );
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
new file mode 100644
index 000000000000..0c691e89d6d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -0,0 +1,93 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var ndims = require( '@stdlib/ndarray/base/ndims' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var concat1d = require( '@stdlib/ndarray/concat1d' ).assign;
+var format = require( '@stdlib/string/format' );
+
+
+// MAIN //
+
+/**
+* Prepends the provided scalar values to the input ndarray and assigns the result to a provided one-dimensional output ndarray.
+*
+* @param {ndarray} x - input ndarray
+* @param {...*} values - scalar values
+* @param {ndarray} out - output ndarray
+* @throws {TypeError} first argument must a be one-dimensional ndarray
+* @throws {Error} must be provided at least three arguments
+* @throws {TypeError} output argument must a be one-dimensional ndarray
+* @returns {ndarray} output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+*
+* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+* var y = zeros( [ 7 ] );
+*
+* var out = assign( x, -2.0, -1.0, 0.0, y );
+* // returns <ndarray>
+*
+* var bool = ( y === out );
+* // returns true
+*
+* var arr = ndarray2array( out );
+* // throws [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+function assign( x ) {
+	var nargs;
+	var dtype;
+	var args;
+	var out;
+	var i;
+
+	if ( !isndarrayLike( x ) || ndims( x ) !== 1 ) {
+		throw new TypeError( format( 'invalid argument. First argument must be a one-dimensional ndarray. Value: `%s`.', x ) );
+	}
+	nargs = arguments.length;
+	if ( nargs < 3 ) {
+		throw new Error( format( 'invalid argument. The function must be provided at least three arguments. Value: `%s`.', nargs ) );
+	}
+	out = arguments[ nargs - 1 ];
+	if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {
+		throw new TypeError( format( 'invalid argument. Output argument must be a one-dimensional ndarray. Value: `%s`.', out ) );
+	}
+	args = [];
+	dtype = getDType( x );
+	for ( i = 1; i < nargs - 1; i++ ) {
+		args.push( scalar2ndarray( arguments[ i ], {
+			'dtype': dtype
+		}));
+	}
+	args.push( x );
+	return concat1d( args, out );
+}
+
+
+// EXPORTS //
+
+module.exports = assign;
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
new file mode 100644
index 000000000000..ee2f074e0a23
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
@@ -0,0 +1,56 @@
+/**
+* @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 one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+*
+* @module @stdlib/ndarray/unshift
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+* var unshift = require( '@stdlib/ndarray/unshift' );
+*
+* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = unshift( x, -2.0, -1.0, 0.0 );
+* // returns <ndarray>
+*
+* var arr = ndarray2array( out );
+* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+
+// 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/unshift/lib/main.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
new file mode 100644
index 000000000000..54a832523622
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
@@ -0,0 +1,81 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var ndims = require( '@stdlib/ndarray/base/ndims' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var concat1d = require( '@stdlib/ndarray/concat1d' );
+var format = require( '@stdlib/string/format' );
+
+
+// MAIN //
+
+/**
+* Returns a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+*
+* @param {ndarray} x - input ndarray
+* @param {...*} values - scalar values
+* @throws {TypeError} first argument must a be one-dimensional ndarray
+* @throws {Error} must be provided at least two arguments
+* @returns {ndarray} output ndarray
+*
+* @example
+* var array = require( '@stdlib/ndarray/array' );
+* var ndarray2array = require( '@stdlib/ndarray/to-array' );
+*
+* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+*
+* var out = unshift( x, -2.0, -1.0, 0.0 );
+* // returns <ndarray>
+*
+* var arr = ndarray2array( out );
+* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+*/
+function unshift( x ) {
+	var nargs;
+	var dtype;
+	var args;
+	var i;
+
+	if ( !isndarrayLike( x ) || ndims( x ) !== 1 ) {
+		throw new TypeError( format( 'invalid argument. First argument must be a one-dimensional ndarray. Value: `%s`.', x ) );
+	}
+	nargs = arguments.length;
+	if ( nargs < 2 ) {
+		throw new Error( format( 'invalid argument. The function must be provided at least two arguments. Value: `%s`.', nargs ) );
+	}
+	args = [];
+	dtype = getDType( x );
+	for ( i = 1; i < nargs; i++ ) {
+		args.push( scalar2ndarray( arguments[ i ], {
+			'dtype': dtype
+		}));
+	}
+	args.push( x );
+	return concat1d( args );
+}
+
+
+// EXPORTS //
+
+module.exports = unshift;
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/package.json b/lib/node_modules/@stdlib/ndarray/unshift/package.json
new file mode 100644
index 000000000000..e7b4cdef1997
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/package.json
@@ -0,0 +1,66 @@
+{
+  "name": "@stdlib/ndarray/unshift",
+  "version": "0.0.0",
+  "description": "Return a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.",
+  "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",
+    "add",
+    "prepend",
+    "concat",
+    "join"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
new file mode 100644
index 000000000000..a15ff50cf0ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
@@ -0,0 +1,263 @@
+/**
+* @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 resolveStr = require( '@stdlib/ndarray/base/dtype-resolve-str' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var getShape = require( '@stdlib/ndarray/shape' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var getOrder = require( '@stdlib/ndarray/order' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var unshift = require( './../lib/assign.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof unshift, '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 out;
+	var i;
+
+	out = zeros( [ 4 ] );
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		[],
+		{},
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			unshift( value, 0.0, out );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided a first argument which is an ndarray with more than one dimension', function test( t ) {
+	var values;
+	var out;
+	var i;
+
+	out = zeros( [ 4 ] );
+	values = [
+		zeros( [ 2, 2 ] ),
+		zeros( [ 3, 1, 2 ] ),
+		zeros( [ 2, 2, 2 ] ),
+		zeros( [ 3, 3, 3, 3 ] ),
+		zeros( [ 3, 1, 2 ] )
+	];
+
+	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() {
+			unshift( value, 0.0, out );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an output argument which is not an ndarray', function test( t ) {
+	var values;
+	var i;
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		[],
+		{},
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			unshift( zeros( [ 2 ]), 0.0, value );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an output argument which is an ndarray with more than one dimension', function test( t ) {
+	var values;
+	var i;
+
+	values = [
+		zeros( [ 2, 2 ] ),
+		zeros( [ 3, 1, 2 ] ),
+		zeros( [ 2, 2, 2 ] ),
+		zeros( [ 3, 3, 3, 3 ] ),
+		zeros( [ 3, 1, 2 ] )
+	];
+
+	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() {
+			unshift( zeros( [ 2 ] ), 0.0, value );
+		};
+	}
+});
+
+tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+	var y;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	y = zeros( [ 6 ], {
+		'dtype': 'float64'
+	});
+
+	out = unshift( x, 5.0, 6.0, y );
+
+	actual = ndarray2array( y );
+	expected = [ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ];
+
+	t.strictEqual( resolveStr( getDType( y ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( y ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( y ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+	t.strictEqual( out, y, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+	var y;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'column-major' );
+	y = zeros( [ 6 ], {
+		'dtype': 'float64'
+	});
+
+	out = unshift( x, 5.0, 6.0, y );
+
+	actual = ndarray2array( y );
+	expected = [ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ];
+
+	t.strictEqual( resolveStr( getDType( y ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( y ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( y ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+	t.strictEqual( out, y, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, non-contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+	var y;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 2 ], 0, 'row-major' );
+	y = zeros( [ 6 ], {
+		'dtype': 'float64'
+	});
+
+	out = unshift( x, 5.0, 6.0, y );
+
+	actual = ndarray2array( y );
+	expected = [ 5.0, 6.0, 1.0, 3.0, 5.0, 7.0 ];
+
+	t.strictEqual( resolveStr( getDType( y ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( y ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( y ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+	t.strictEqual( out, y, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, non-contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+	var y;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 2 ], 0, 'column-major' );
+	y = zeros( [ 6 ], {
+		'dtype': 'float64'
+	});
+
+	out = unshift( x, 5.0, 6.0, y );
+
+	actual = ndarray2array( y );
+	expected = [ 5.0, 6.0, 1.0, 3.0, 5.0, 7.0 ];
+
+	t.strictEqual( resolveStr( getDType( y ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( y ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( y ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+	t.strictEqual( y, out, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.js
new file mode 100644
index 000000000000..d6ffca59013e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.js
@@ -0,0 +1,39 @@
+/**
+* @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 isMethod = require( '@stdlib/assert/is-method' );
+var unshift = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof unshift, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is an `assign` method', function test( t ) {
+	t.strictEqual( isMethod( unshift, 'assign' ), true, 'returns expected value' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
new file mode 100644
index 000000000000..3c4a28e4d6c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
@@ -0,0 +1,186 @@
+/**
+* @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 resolveStr = require( '@stdlib/ndarray/base/dtype-resolve-str' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var getShape = require( '@stdlib/ndarray/shape' );
+var getDType = require( '@stdlib/ndarray/dtype' );
+var getOrder = require( '@stdlib/ndarray/order' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var unshift = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof unshift, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an ndarray', function test( t ) {
+	var values;
+	var i;
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		[],
+		{},
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			unshift( value, 0.0 );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an ndarray with more than one dimension', function test( t ) {
+	var values;
+	var i;
+
+	values = [
+		zeros( [ 2, 2 ] ),
+		zeros( [ 3, 1, 2 ] ),
+		zeros( [ 2, 2, 2 ] ),
+		zeros( [ 3, 3, 3, 3 ] ),
+		zeros( [ 3, 1, 2 ] )
+	];
+
+	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() {
+			unshift( value, 0.0 );
+		};
+	}
+});
+
+tape( 'the function returns a one-dimensional ndarray formed by prepending provided scalar values (row-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+	out = unshift( x, 5.0, 6.0 );
+
+	actual = ndarray2array( out );
+	expected = [ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ];
+
+	t.strictEqual( resolveStr( getDType( out ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( out ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( out ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns a one-dimensional ndarray formed by prepending provided scalar values (column-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'column-major' );
+
+	out = unshift( x, 5.0, 6.0 );
+
+	actual = ndarray2array( out );
+	expected = [ 5.0, 6.0, 1.0, 2.0, 3.0, 4.0 ];
+
+	t.strictEqual( resolveStr( getDType( out ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( out ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( out ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns a one-dimensional ndarray formed by prepending provided scalar values (row-major, non-contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 2 ], 0, 'row-major' );
+
+	out = unshift( x, 5.0, 6.0 );
+
+	actual = ndarray2array( out );
+	expected = [ 5.0, 6.0, 1.0, 3.0, 5.0, 7.0 ];
+
+	t.strictEqual( resolveStr( getDType( out ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( out ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( out ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns a one-dimensional ndarray formed by prepending provided scalar values (column-major, non-contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var xbuf;
+	var out;
+	var x;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+	x = new ndarray( 'float64', xbuf, [ 4 ], [ 2 ], 0, 'column-major' );
+
+	out = unshift( x, 5.0, 6.0 );
+
+	actual = ndarray2array( out );
+	expected = [ 5.0, 6.0, 1.0, 3.0, 5.0, 7.0 ];
+
+	t.strictEqual( resolveStr( getDType( out ) ), 'float64', 'returns expected value' );
+	t.strictEqual( getOrder( out ), 'row-major', 'returns expected value' );
+	t.deepEqual( getShape( out ), [ 6 ], 'returns expected value' );
+	t.deepEqual( actual, expected, 'returns expected value' );
+
+	t.end();
+});

From d71bc37130c7c608626a97e4557ada45831cd783 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 21 Dec 2025 14:06:38 +0500
Subject: [PATCH 02/14] refactor: apply suggestions from code review

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: passed
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/ndarray/unshift/README.md         |  32 ++--
 .../unshift/benchmark/benchmark.assign.js     |   6 +-
 .../ndarray/unshift/benchmark/benchmark.js    |   6 +-
 .../@stdlib/ndarray/unshift/docs/repl.txt     |  14 +-
 .../ndarray/unshift/docs/types/index.d.ts     | 162 +++++++++++++++---
 .../ndarray/unshift/docs/types/test.ts        |  11 +-
 .../@stdlib/ndarray/unshift/examples/index.js |   2 +-
 .../@stdlib/ndarray/unshift/lib/assign.js     |  10 +-
 .../@stdlib/ndarray/unshift/lib/index.js      |   8 +-
 .../@stdlib/ndarray/unshift/lib/main.js       |  10 +-
 .../@stdlib/ndarray/unshift/package.json      |   2 +-
 .../ndarray/unshift/test/test.assign.js       |   9 +
 .../@stdlib/ndarray/unshift/test/test.main.js |   9 +
 13 files changed, 197 insertions(+), 84 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/README.md b/lib/node_modules/@stdlib/ndarray/unshift/README.md
index 0e3aaef8ec43..8d1f94e38146 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/README.md
+++ b/lib/node_modules/@stdlib/ndarray/unshift/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # unshift
 
-> Return a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to the input ndarray.
+> Return a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor].
 
 <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
 
@@ -42,53 +42,45 @@ var unshift = require( '@stdlib/ndarray/unshift' );
 
 #### unshift( x, ...values )
 
-Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to the input ndarray.
+Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor].
 
 ```javascript
 var array = require( '@stdlib/ndarray/array' );
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 
 var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 
 var out = unshift( x, -2.0, -1.0, 0.0 );
-// returns <ndarray>
-
-var arr = ndarray2array( out );
-// returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+// returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 ```
 
 The function accepts the following arguments:
 
--   **x**: input [ndarray][@stdlib/ndarray/ctor].
+-   **x**: input [ndarray][@stdlib/ndarray/ctor]. Must be one-dimensional.
 -   **...values**: scalar values to prepend.
 
 #### unshift.assign( x, ...values, out )
 
-Prepends the provided scalar values to the input [ndarray][@stdlib/ndarray/ctor] and assigns the result to a provided one-dimensional output [ndarray][@stdlib/ndarray/ctor].
+Prepends the provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor] and assigns the result to a provided one-dimensional output [ndarray][@stdlib/ndarray/ctor].
 
 ```javascript
 var array = require( '@stdlib/ndarray/array' );
 var zeros = require( '@stdlib/ndarray/zeros' );
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 
 var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 var y = zeros( [ 7 ] );
 
 var out = unshift.assign( x, -2.0, -1.0, 0.0, y );
-// returns <ndarray>
+// returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 
 var bool = ( out === y );
 // returns true
-
-var arr = ndarray2array( y );
-// returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 ```
 
 The function accepts the following arguments:
 
--   **x**: input [ndarray][@stdlib/ndarray/ctor].
+-   **x**: input [ndarray][@stdlib/ndarray/ctor]. Must be one-dimensional.
 -   **...values**: scalar values to prepend.
--   **out**: output [ndarray][@stdlib/ndarray/ctor].
+-   **out**: output [ndarray][@stdlib/ndarray/ctor]. Must be one-dimensional.
 
 </section>
 
@@ -98,6 +90,10 @@ The function accepts the following arguments:
 
 <section class="notes">
 
+## Notes
+
+-   Scalar values are cast to the [data type][@stdlib/ndarray/dtypes] of the input [ndarray][@stdlib/ndarray/ctor].
+
 </section>
 
 <!-- /.notes -->
@@ -120,7 +116,7 @@ var opts = {
 var x = array( discreteUniform( 6, 0, 10, opts ), opts );
 console.log( ndarray2array( x ) );
 
-var out = unshift( x, -2.0, -1.0, 0.0 );
+var out = unshift( x, 12, 14 );
 console.log( ndarray2array( out ) );
 ```
 
@@ -150,6 +146,8 @@ console.log( ndarray2array( out ) );
 
 [@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor
 
+[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes
+
 </section>
 
 <!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js
index e90d239fd5c7..9d484c11ca47 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.assign.js
@@ -30,7 +30,7 @@ var unshift = require( './../lib/assign.js' );
 
 // MAIN //
 
-bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
+bench( format( '%s:assign:num_scalars=2', pkg ), function benchmark( b ) {
 	var opts;
 	var out;
 	var v;
@@ -58,7 +58,7 @@ bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
+bench( format( '%s:assign:num_scalars=4', pkg ), function benchmark( b ) {
 	var opts;
 	var out;
 	var v;
@@ -86,7 +86,7 @@ bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::six scalar values', pkg ), function benchmark( b ) {
+bench( format( '%s:assign:num_scalars=6', pkg ), function benchmark( b ) {
 	var opts;
 	var out;
 	var v;
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js
index 8917e5759ac3..936619965b29 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/benchmark/benchmark.js
@@ -30,7 +30,7 @@ var unshift = require( './../lib' );
 
 // MAIN //
 
-bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
+bench( format( '%s:num_scalars=2', pkg ), function benchmark( b ) {
 	var opts;
 	var v;
 	var x;
@@ -56,7 +56,7 @@ bench( format( '%s::two scalar values', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
+bench( format( '%s:num_scalars=4', pkg ), function benchmark( b ) {
 	var opts;
 	var v;
 	var x;
@@ -82,7 +82,7 @@ bench( format( '%s::four scalar values', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::six scalar values', pkg ), function benchmark( b ) {
+bench( format( '%s:num_scalars=6', pkg ), function benchmark( b ) {
 	var opts;
 	var v;
 	var x;
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
index 5a318cc50b69..09ed98fb99f0 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( x, ...values )
     Returns a one-dimensional ndarray formed by prepending the provided scalar
-    values to the input ndarray.
+    values to a one-dimensional input ndarray.
 
     Parameters
     ----------
@@ -20,14 +20,12 @@
     --------
     > var x = {{alias:@stdlib/ndarray/array}}( [ 1.0, 2.0, 3.0, 4.0 ] );
     > var out = {{alias}}( x, -1.0, 0.0 )
-    <ndarray>
-    > var arr = {{alias:@stdlib/ndarray/to-array}}( out )
-    [ -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+    <ndarray>[ -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 
 
 {{alias}}.assign( x, ...values, out )
-    Prepends the provided scalar values to the input ndarray and assigns results
-    to an output ndarray.
+    Prepends the provided scalar values to a one-dimensional input ndarray and
+    assigns results to a provided one-dimensional output ndarray.
 
     Parameters
     ----------
@@ -50,11 +48,9 @@
     > var x = {{alias:@stdlib/ndarray/array}}( [ 1.0, 2.0 ] );
     > var y = {{alias:@stdlib/ndarray/array}}( [ 0.0, 0.0, 0.0, 0.0 ] );
     > var out = {{alias}}.assign( x, -1.0, 0.0, y )
-    <ndarray>
+    <ndarray>[ -1.0, 0.0, 1.0, 2.0 ]
     > var bool = ( out === y )
     true
-    > var arr = {{alias:@stdlib/ndarray/to-array}}( y )
-    [ -1.0, 0.0, 1.0, 2.0 ]
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
index 043ca97b6036..9e4e5716fb89 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
@@ -27,7 +27,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 */
 interface Unshift {
 	/**
-	* Returns a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+	* Returns a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
 	*
 	* @param x - input ndarray
 	* @param values - scalar values
@@ -35,48 +35,170 @@ interface Unshift {
 	*
 	* @example
 	* var array = require( '@stdlib/ndarray/array' );
-	* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 	*
 	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	*
 	* var out = unshift( x, -2.0, -1.0, 0.0 );
-	* // returns <ndarray>
-	*
-	* var arr = ndarray2array( out );
-	* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	* // returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 	*/
 	<T = unknown>( x: typedndarray<T>, ...values: Array<T> ): typedndarray<T>;
 
 	/**
-	* Prepends the provided scalar values to the input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
-	* @param values - scalar values
+	* @param arg0 - scalar values
+	* @param out - output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var array = require( '@stdlib/ndarray/array' );
+	* var empty = require( '@stdlib/ndarray/empty' );
+	*
+	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var y = empty( [ 5 ] );
+	*
+	* var out = unshift.assign( x, -2.0, y );
+	* // returns <ndarray>[ -2.0, 1.0, 2.0, 3.0, 4.0 ]
+	*
+	* var bool = ( out === y );
+	* // returns true
+	*/
+	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, out: U ): U;
+
+	/**
+	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	*
+	* @param x - input ndarray
+	* @param arg0 - scalar values
+	* @param arg1 - scalar values
+	* @param out - output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var array = require( '@stdlib/ndarray/array' );
+	* var empty = require( '@stdlib/ndarray/empty' );
+	*
+	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var y = empty( [ 6 ] );
+	*
+	* var out = unshift.assign( x, -1.0, 0.0, y );
+	* // returns <ndarray>[ -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	*
+	* var bool = ( out === y );
+	* // returns true
+	*/
+	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, out: U ): U;
+
+	/**
+	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	*
+	* @param x - input ndarray
+	* @param arg0 - scalar values
+	* @param arg1 - scalar values
+	* @param arg2 - scalar values
 	* @param out - output ndarray
 	* @returns output ndarray
 	*
 	* @example
 	* var array = require( '@stdlib/ndarray/array' );
 	* var empty = require( '@stdlib/ndarray/empty' );
-	* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 	*
 	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 	* var y = empty( [ 7 ] );
 	*
 	* var out = unshift.assign( x, -2.0, -1.0, 0.0, y );
-	* // returns <ndarray>
+	* // returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	*
+	* var bool = ( out === y );
+	* // returns true
+	*/
+	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, arg2: T, out: U ): U;
+
+	/**
+	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	*
+	* @param x - input ndarray
+	* @param arg0 - scalar values
+	* @param arg1 - scalar values
+	* @param arg2 - scalar values
+	* @param arg3 - scalar values
+	* @param out - output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var array = require( '@stdlib/ndarray/array' );
+	* var empty = require( '@stdlib/ndarray/empty' );
+	*
+	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var y = empty( [ 8 ] );
+	*
+	* var out = unshift.assign( x, -3.0, -2.0, -1.0, 0.0, y );
+	* // returns <ndarray>[ -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	*
+	* var bool = ( out === y );
+	* // returns true
+	*/
+	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, arg2: T, arg3: T, out: U ): U;
+
+	/**
+	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	*
+	* @param x - input ndarray
+	* @param arg0 - scalar values
+	* @param arg1 - scalar values
+	* @param arg2 - scalar values
+	* @param arg3 - scalar values
+	* @param arg4 - scalar values
+	* @param out - output ndarray
+	* @returns output ndarray
+	*
+	* @example
+	* var array = require( '@stdlib/ndarray/array' );
+	* var empty = require( '@stdlib/ndarray/empty' );
+	*
+	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var y = empty( [ 9 ] );
+	*
+	* var out = unshift.assign( x, -4.0, -3.0, -2.0, -1.0, 0.0, y );
+	* // returns <ndarray>[ -4.0, -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 	*
 	* var bool = ( out === y );
 	* // returns true
+	*/
+	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, arg2: T, arg3: T, arg4: T, out: U ): U;
+
+	/**
+	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	*
+	* @param x - input ndarray
+	* @param arg0 - scalar values
+	* @param arg1 - scalar values
+	* @param arg2 - scalar values
+	* @param arg3 - scalar values
+	* @param arg4 - scalar values
+	* @param args - additional scalar values and an output ndarray
+	* @param out - output ndarray
+	* @returns output ndarray
 	*
-	* var arr = ndarray2array( y );
-	* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	* @example
+	* var array = require( '@stdlib/ndarray/array' );
+	* var empty = require( '@stdlib/ndarray/empty' );
+	*
+	* var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
+	* var y = empty( [ 10 ] );
+	*
+	* var out = unshift.assign( x, -5.0, -4.0, -3.0, -2.0, -1.0, 0.0, y );
+	* // returns <ndarray>[ -5.0, -4.0, -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+	*
+	* var bool = ( out === y );
+	* // returns true
 	*/
-	assign<T = unknown, U = unknown, V extends typedndarray<U> = typedndarray<U>>( x: typedndarray<T>, ...values: Array<T>, out: V ): V;
+	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, arg2: T, arg3: T, arg4: T, ...args: Array<T | U> ): U;
 }
 
 /**
-* Returns a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+* Returns a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
 *
 * @param x - input ndarray
 * @param values - scalar values
@@ -84,32 +206,24 @@ interface Unshift {
 *
 * @example
 * var array = require( '@stdlib/ndarray/array' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 *
 * var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 *
 * var out = unshift( x, -2.0, -1.0, 0.0 );
-* // returns <ndarray>
-*
-* var arr = ndarray2array( out );
-* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+* // returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 *
 * @example
 * var array = require( '@stdlib/ndarray/array' );
 * var empty = require( '@stdlib/ndarray/empty' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 *
 * var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var y = empty( [ 7 ] );
 *
 * var out = unshift.assign( x, -2.0, -1.0, 0.0, y );
-* // returns <ndarray>
+* // returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 *
 * var bool = ( out === y );
 * // returns true
-*
-* var arr = ndarray2array( y );
-* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 */
 declare var unshift: Unshift;
 
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts
index 21b00fd54f13..b0b3c16e0f90 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/test.ts
@@ -16,8 +16,6 @@
 * limitations under the License.
 */
 
-/// <reference types="@stdlib/types"/>
-
 import zeros = require( '@stdlib/ndarray/zeros' );
 import unshift = require( './index' );
 
@@ -56,7 +54,7 @@ import unshift = require( './index' );
 	unshift.assign( x, 1.0, out ); // $ExpectType float64ndarray
 }
 
-// The compiler throws an error if the assign method is provided a first argument which is not an ndarray...
+// The compiler throws an error if the `assign` method is provided a first argument which is not an ndarray...
 {
 	const out = zeros( [ 3 ] );
 
@@ -70,7 +68,7 @@ import unshift = require( './index' );
 	unshift.assign( ( x: number ): number => x, 1.0, out ); // $ExpectError
 }
 
-// The compiler throws an error if the assign method is provided an output argument which is not an ndarray...
+// The compiler throws an error if the `assign` method is provided an output argument which is not an ndarray...
 {
 	const x = zeros( [ 3 ] );
 
@@ -84,10 +82,11 @@ import unshift = require( './index' );
 	unshift.assign( x, 1.0, ( x: number ): number => x ); // $ExpectError
 }
 
-// The compiler throws an error if the function is provided an unsupported number of arguments...
+// The compiler throws an error if the `assign` method is provided an unsupported number of arguments...
 {
-	const x = zeros( [ 2, 2 ] );
+	const x = zeros( [ 3 ] );
 
 	unshift.assign(); // $ExpectError
 	unshift.assign( x ); // $ExpectError
+	unshift.assign( x, 1.0 ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
index 97c9e6eb3f9e..3096085eb9c0 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
@@ -29,5 +29,5 @@ var opts = {
 var x = array( discreteUniform( 6, 0, 10, opts ), opts );
 console.log( ndarray2array( x ) );
 
-var out = unshift( x, -2.0, -1.0, 0.0 );
+var out = unshift( x, 12, 14 );
 console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index 0c691e89d6d7..ff1818309d99 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -31,7 +31,7 @@ var format = require( '@stdlib/string/format' );
 // MAIN //
 
 /**
-* Prepends the provided scalar values to the input ndarray and assigns the result to a provided one-dimensional output ndarray.
+* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 *
 * @param {ndarray} x - input ndarray
 * @param {...*} values - scalar values
@@ -44,19 +44,15 @@ var format = require( '@stdlib/string/format' );
 * @example
 * var array = require( '@stdlib/ndarray/array' );
 * var zeros = require( '@stdlib/ndarray/zeros' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 *
 * var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 * var y = zeros( [ 7 ] );
 *
 * var out = assign( x, -2.0, -1.0, 0.0, y );
-* // returns <ndarray>
+* // returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 *
 * var bool = ( y === out );
 * // returns true
-*
-* var arr = ndarray2array( out );
-* // throws [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 */
 function assign( x ) {
 	var nargs;
@@ -70,7 +66,7 @@ function assign( x ) {
 	}
 	nargs = arguments.length;
 	if ( nargs < 3 ) {
-		throw new Error( format( 'invalid argument. The function must be provided at least three arguments. Value: `%s`.', nargs ) );
+		throw new Error( 'invalid operation. Must provide at least two arguments.' );
 	}
 	out = arguments[ nargs - 1 ];
 	if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
index ee2f074e0a23..1836e01ebaef 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
@@ -19,22 +19,18 @@
 'use strict';
 
 /**
-* Return a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+* Return a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
 *
 * @module @stdlib/ndarray/unshift
 *
 * @example
 * var array = require( '@stdlib/ndarray/array' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 * var unshift = require( '@stdlib/ndarray/unshift' );
 *
 * var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 *
 * var out = unshift( x, -2.0, -1.0, 0.0 );
-* // returns <ndarray>
-*
-* var arr = ndarray2array( out );
-* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+* // returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 */
 
 // MODULES //
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
index 54a832523622..1635bdb8d600 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
@@ -31,7 +31,7 @@ var format = require( '@stdlib/string/format' );
 // MAIN //
 
 /**
-* Returns a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.
+* Returns a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
 *
 * @param {ndarray} x - input ndarray
 * @param {...*} values - scalar values
@@ -41,15 +41,11 @@ var format = require( '@stdlib/string/format' );
 *
 * @example
 * var array = require( '@stdlib/ndarray/array' );
-* var ndarray2array = require( '@stdlib/ndarray/to-array' );
 *
 * var x = array( [ 1.0, 2.0, 3.0, 4.0 ] );
 *
 * var out = unshift( x, -2.0, -1.0, 0.0 );
-* // returns <ndarray>
-*
-* var arr = ndarray2array( out );
-* // returns [ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
+* // returns <ndarray>[ -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0 ]
 */
 function unshift( x ) {
 	var nargs;
@@ -62,7 +58,7 @@ function unshift( x ) {
 	}
 	nargs = arguments.length;
 	if ( nargs < 2 ) {
-		throw new Error( format( 'invalid argument. The function must be provided at least two arguments. Value: `%s`.', nargs ) );
+		throw new Error( 'invalid operation. Must provide at least two arguments.' );
 	}
 	args = [];
 	dtype = getDType( x );
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/package.json b/lib/node_modules/@stdlib/ndarray/unshift/package.json
index e7b4cdef1997..868536461ae8 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/package.json
+++ b/lib/node_modules/@stdlib/ndarray/unshift/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/ndarray/unshift",
   "version": "0.0.0",
-  "description": "Return a one-dimensional ndarray formed by prepending the provided scalar values to the input ndarray.",
+  "description": "Return a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
index a15ff50cf0ef..e29d9aa71043 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
@@ -150,6 +150,15 @@ tape( 'the function throws an error if provided an output argument which is an n
 	}
 });
 
+tape( 'the function throws an error if provided insufficient arguments', function test( t ) {
+	t.throws( badValue, TypeError, 'throws an error' );
+	t.end();
+
+	function badValue() {
+		unshift( zeros( [ 2 ] ), zeros( [ 2 ] ) );
+	}
+});
+
 tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, contiguous)', function test( t ) {
 	var expected;
 	var actual;
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
index 3c4a28e4d6c9..b748a8cb3f43 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
@@ -93,6 +93,15 @@ tape( 'the function throws an error if provided an ndarray with more than one di
 	}
 });
 
+tape( 'the function throws an error if provided insufficient arguments', function test( t ) {
+	t.throws( badValue, TypeError, 'throws an error' );
+	t.end();
+
+	function badValue() {
+		unshift( zeros( [ 2 ] ) );
+	}
+});
+
 tape( 'the function returns a one-dimensional ndarray formed by prepending provided scalar values (row-major, contiguous)', function test( t ) {
 	var expected;
 	var actual;

From 08c0e16b685642eb22a04a90ccb910f7cd1d7e2d Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 21 Dec 2025 14:13:43 +0500
Subject: [PATCH 03/14] test: fix assertion

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js       | 2 +-
 lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js | 2 +-
 lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js   | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index ff1818309d99..e8eb702e1965 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -66,7 +66,7 @@ function assign( x ) {
 	}
 	nargs = arguments.length;
 	if ( nargs < 3 ) {
-		throw new Error( 'invalid operation. Must provide at least two arguments.' );
+		throw new Error( 'invalid operation. Must provide at least three arguments.' );
 	}
 	out = arguments[ nargs - 1 ];
 	if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
index e29d9aa71043..6ba138ee3694 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
@@ -151,7 +151,7 @@ tape( 'the function throws an error if provided an output argument which is an n
 });
 
 tape( 'the function throws an error if provided insufficient arguments', function test( t ) {
-	t.throws( badValue, TypeError, 'throws an error' );
+	t.throws( badValue, Error, 'throws an error' );
 	t.end();
 
 	function badValue() {
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
index b748a8cb3f43..9e462435d282 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.main.js
@@ -94,7 +94,7 @@ tape( 'the function throws an error if provided an ndarray with more than one di
 });
 
 tape( 'the function throws an error if provided insufficient arguments', function test( t ) {
-	t.throws( badValue, TypeError, 'throws an error' );
+	t.throws( badValue, Error, 'throws an error' );
 	t.end();
 
 	function badValue() {

From 4dff51e8c26cac7aeeb6658afb350b550f2ce6fb Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Thu, 25 Dec 2025 13:26:58 +0500
Subject: [PATCH 04/14] fix: apply suggestions from code review

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: passed
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/ndarray/unshift/README.md            | 10 +++++-----
 .../@stdlib/ndarray/unshift/docs/repl.txt        |  4 ++--
 .../ndarray/unshift/docs/types/index.d.ts        | 16 ++++++++--------
 .../@stdlib/ndarray/unshift/examples/index.js    |  4 ++--
 .../@stdlib/ndarray/unshift/lib/assign.js        |  2 +-
 .../@stdlib/ndarray/unshift/lib/index.js         |  2 +-
 .../@stdlib/ndarray/unshift/lib/main.js          |  2 +-
 .../@stdlib/ndarray/unshift/package.json         |  2 +-
 .../@stdlib/ndarray/unshift/test/test.assign.js  | 10 +++++-----
 9 files changed, 26 insertions(+), 26 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/README.md b/lib/node_modules/@stdlib/ndarray/unshift/README.md
index 8d1f94e38146..04879c1904da 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/README.md
+++ b/lib/node_modules/@stdlib/ndarray/unshift/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # unshift
 
-> Return a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor].
+> Return a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor].
 
 <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
 
@@ -42,7 +42,7 @@ var unshift = require( '@stdlib/ndarray/unshift' );
 
 #### unshift( x, ...values )
 
-Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending the provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor].
+Returns a one-dimensional [ndarray][@stdlib/ndarray/ctor] formed by prepending provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor].
 
 ```javascript
 var array = require( '@stdlib/ndarray/array' );
@@ -60,7 +60,7 @@ The function accepts the following arguments:
 
 #### unshift.assign( x, ...values, out )
 
-Prepends the provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor] and assigns the result to a provided one-dimensional output [ndarray][@stdlib/ndarray/ctor].
+Prepends provided scalar values to a one-dimensional input [ndarray][@stdlib/ndarray/ctor] and assigns the result to a provided one-dimensional output [ndarray][@stdlib/ndarray/ctor].
 
 ```javascript
 var array = require( '@stdlib/ndarray/array' );
@@ -105,7 +105,7 @@ The function accepts the following arguments:
 ## Examples
 
 ```javascript
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
 var array = require( '@stdlib/ndarray/array' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var unshift = require( '@stdlib/ndarray/unshift' );
@@ -113,7 +113,7 @@ var unshift = require( '@stdlib/ndarray/unshift' );
 var opts = {
     'dtype': 'generic'
 };
-var x = array( discreteUniform( 6, 0, 10, opts ), opts );
+var x = array( discreteUniform( [ 6 ], 0, 10, opts ), opts );
 console.log( ndarray2array( x ) );
 
 var out = unshift( x, 12, 14 );
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
index 09ed98fb99f0..cce43a6e67f2 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/repl.txt
@@ -1,6 +1,6 @@
 
 {{alias}}( x, ...values )
-    Returns a one-dimensional ndarray formed by prepending the provided scalar
+    Returns a one-dimensional ndarray formed by prepending provided scalar
     values to a one-dimensional input ndarray.
 
     Parameters
@@ -24,7 +24,7 @@
 
 
 {{alias}}.assign( x, ...values, out )
-    Prepends the provided scalar values to a one-dimensional input ndarray and
+    Prepends provided scalar values to a one-dimensional input ndarray and
     assigns results to a provided one-dimensional output ndarray.
 
     Parameters
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
index 9e4e5716fb89..ca5d77581f94 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
@@ -27,7 +27,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 */
 interface Unshift {
 	/**
-	* Returns a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
+	* Returns a one-dimensional ndarray formed by prepending provided scalar values to a one-dimensional input ndarray.
 	*
 	* @param x - input ndarray
 	* @param values - scalar values
@@ -44,7 +44,7 @@ interface Unshift {
 	<T = unknown>( x: typedndarray<T>, ...values: Array<T> ): typedndarray<T>;
 
 	/**
-	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
 	* @param arg0 - scalar values
@@ -67,7 +67,7 @@ interface Unshift {
 	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, out: U ): U;
 
 	/**
-	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
 	* @param arg0 - scalar values
@@ -91,7 +91,7 @@ interface Unshift {
 	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, out: U ): U;
 
 	/**
-	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
 	* @param arg0 - scalar values
@@ -116,7 +116,7 @@ interface Unshift {
 	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, arg2: T, out: U ): U;
 
 	/**
-	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
 	* @param arg0 - scalar values
@@ -142,7 +142,7 @@ interface Unshift {
 	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, arg2: T, arg3: T, out: U ): U;
 
 	/**
-	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
 	* @param arg0 - scalar values
@@ -169,7 +169,7 @@ interface Unshift {
 	assign<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: typedndarray<T>, arg0: T, arg1: T, arg2: T, arg3: T, arg4: T, out: U ): U;
 
 	/**
-	* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
 	* @param arg0 - scalar values
@@ -198,7 +198,7 @@ interface Unshift {
 }
 
 /**
-* Returns a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
+* Returns a one-dimensional ndarray formed by prepending provided scalar values to a one-dimensional input ndarray.
 *
 * @param x - input ndarray
 * @param values - scalar values
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
index 3096085eb9c0..6c7abf88fea0 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
@@ -18,7 +18,7 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
 var array = require( '@stdlib/ndarray/array' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var unshift = require( './../lib' );
@@ -26,7 +26,7 @@ var unshift = require( './../lib' );
 var opts = {
 	'dtype': 'generic'
 };
-var x = array( discreteUniform( 6, 0, 10, opts ), opts );
+var x = array( discreteUniform( [ 6 ], 0, 10, opts ), opts );
 console.log( ndarray2array( x ) );
 
 var out = unshift( x, 12, 14 );
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index e8eb702e1965..aa62bbaa8243 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -31,7 +31,7 @@ var format = require( '@stdlib/string/format' );
 // MAIN //
 
 /**
-* Prepends the provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
+* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 *
 * @param {ndarray} x - input ndarray
 * @param {...*} values - scalar values
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
index 1836e01ebaef..dda7a9c13df2 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/index.js
@@ -19,7 +19,7 @@
 'use strict';
 
 /**
-* Return a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
+* Return a one-dimensional ndarray formed by prepending provided scalar values to a one-dimensional input ndarray.
 *
 * @module @stdlib/ndarray/unshift
 *
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
index 1635bdb8d600..0df0eda13db5 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
@@ -31,7 +31,7 @@ var format = require( '@stdlib/string/format' );
 // MAIN //
 
 /**
-* Returns a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.
+* Returns a one-dimensional ndarray formed by prepending provided scalar values to a one-dimensional input ndarray.
 *
 * @param {ndarray} x - input ndarray
 * @param {...*} values - scalar values
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/package.json b/lib/node_modules/@stdlib/ndarray/unshift/package.json
index 868536461ae8..672da51f0c6c 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/package.json
+++ b/lib/node_modules/@stdlib/ndarray/unshift/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/ndarray/unshift",
   "version": "0.0.0",
-  "description": "Return a one-dimensional ndarray formed by prepending the provided scalar values to a one-dimensional input ndarray.",
+  "description": "Return a one-dimensional ndarray formed by prepending provided scalar values to a one-dimensional input ndarray.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
diff --git a/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
index 6ba138ee3694..4dd6ff0959a9 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/test/test.assign.js
@@ -121,7 +121,7 @@ tape( 'the function throws an error if provided an output argument which is not
 
 	function badValue( value ) {
 		return function badValue() {
-			unshift( zeros( [ 2 ]), 0.0, value );
+			unshift( zeros( [ 2 ] ), 0.0, value );
 		};
 	}
 });
@@ -159,7 +159,7 @@ tape( 'the function throws an error if provided insufficient arguments', functio
 	}
 });
 
-tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, contiguous)', function test( t ) {
+tape( 'the function prepends provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -187,7 +187,7 @@ tape( 'the function prepends the provided provided scalar values to the input nd
 	t.end();
 });
 
-tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, contiguous)', function test( t ) {
+tape( 'the function prepends provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -215,7 +215,7 @@ tape( 'the function prepends the provided provided scalar values to the input nd
 	t.end();
 });
 
-tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, non-contiguous)', function test( t ) {
+tape( 'the function prepends provided scalar values to the input ndarray and assigns results to an output ndarray (row-major, non-contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;
@@ -243,7 +243,7 @@ tape( 'the function prepends the provided provided scalar values to the input nd
 	t.end();
 });
 
-tape( 'the function prepends the provided provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, non-contiguous)', function test( t ) {
+tape( 'the function prepends provided scalar values to the input ndarray and assigns results to an output ndarray (column-major, non-contiguous)', function test( t ) {
 	var expected;
 	var actual;
 	var xbuf;

From afb5afe6446d18fcd2b345fcd5b9cb9f3d254e33 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:35:57 -0800
Subject: [PATCH 05/14] docs: fix example

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/README.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/README.md b/lib/node_modules/@stdlib/ndarray/unshift/README.md
index 04879c1904da..1aec9750a2cd 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/README.md
+++ b/lib/node_modules/@stdlib/ndarray/unshift/README.md
@@ -106,14 +106,13 @@ The function accepts the following arguments:
 
 ```javascript
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
-var array = require( '@stdlib/ndarray/array' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var unshift = require( '@stdlib/ndarray/unshift' );
 
 var opts = {
     'dtype': 'generic'
 };
-var x = array( discreteUniform( [ 6 ], 0, 10, opts ), opts );
+var x = discreteUniform( [ 6 ], 0, 10, opts );
 console.log( ndarray2array( x ) );
 
 var out = unshift( x, 12, 14 );

From 055e0e5fd107cd3836d81ef942e80be0ca7c6f11 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:38:31 -0800
Subject: [PATCH 06/14] docs: fix descriptions

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../ndarray/unshift/docs/types/index.d.ts     | 40 +++++++++----------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
index ca5d77581f94..ede9edc88743 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/ndarray/unshift/docs/types/index.d.ts
@@ -47,7 +47,7 @@ interface Unshift {
 	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
-	* @param arg0 - scalar values
+	* @param arg0 - first scalar value
 	* @param out - output ndarray
 	* @returns output ndarray
 	*
@@ -70,8 +70,8 @@ interface Unshift {
 	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
-	* @param arg0 - scalar values
-	* @param arg1 - scalar values
+	* @param arg0 - first scalar value
+	* @param arg1 - second scalar value
 	* @param out - output ndarray
 	* @returns output ndarray
 	*
@@ -94,9 +94,9 @@ interface Unshift {
 	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
-	* @param arg0 - scalar values
-	* @param arg1 - scalar values
-	* @param arg2 - scalar values
+	* @param arg0 - first scalar value
+	* @param arg1 - second scalar value
+	* @param arg2 - third scalar value
 	* @param out - output ndarray
 	* @returns output ndarray
 	*
@@ -119,10 +119,10 @@ interface Unshift {
 	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
-	* @param arg0 - scalar values
-	* @param arg1 - scalar values
-	* @param arg2 - scalar values
-	* @param arg3 - scalar values
+	* @param arg0 - first scalar value
+	* @param arg1 - second scalar value
+	* @param arg2 - third scalar value
+	* @param arg3 - fourth scalar value
 	* @param out - output ndarray
 	* @returns output ndarray
 	*
@@ -145,11 +145,11 @@ interface Unshift {
 	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
-	* @param arg0 - scalar values
-	* @param arg1 - scalar values
-	* @param arg2 - scalar values
-	* @param arg3 - scalar values
-	* @param arg4 - scalar values
+	* @param arg0 - first scalar value
+	* @param arg1 - second scalar value
+	* @param arg2 - third scalar value
+	* @param arg3 - fourth scalar value
+	* @param arg4 - fifth scalar value
 	* @param out - output ndarray
 	* @returns output ndarray
 	*
@@ -172,11 +172,11 @@ interface Unshift {
 	* Prepends provided scalar values to a one-dimensional input ndarray and assigns the result to a provided one-dimensional output ndarray.
 	*
 	* @param x - input ndarray
-	* @param arg0 - scalar values
-	* @param arg1 - scalar values
-	* @param arg2 - scalar values
-	* @param arg3 - scalar values
-	* @param arg4 - scalar values
+	* @param arg0 - first scalar value
+	* @param arg1 - second scalar value
+	* @param arg2 - third scalar value
+	* @param arg3 - fourth scalar value
+	* @param arg4 - fifth scalar value
 	* @param args - additional scalar values and an output ndarray
 	* @param out - output ndarray
 	* @returns output ndarray

From 42ebbc2694d6504ae4b373c6ff539dd1d0ea8ca7 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:39:08 -0800
Subject: [PATCH 07/14] docs: update example

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/examples/index.js | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
index 6c7abf88fea0..e2918e4c4a11 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/examples/index.js
@@ -19,14 +19,13 @@
 'use strict';
 
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
-var array = require( '@stdlib/ndarray/array' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var unshift = require( './../lib' );
 
 var opts = {
 	'dtype': 'generic'
 };
-var x = array( discreteUniform( [ 6 ], 0, 10, opts ), opts );
+var x = discreteUniform( [ 6 ], 0, 10, opts );
 console.log( ndarray2array( x ) );
 
 var out = unshift( x, 12, 14 );

From 8fe8f486db5112fab5388b1479a608114bab70a7 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:41:27 -0800
Subject: [PATCH 08/14] docs: fix description

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index aa62bbaa8243..31fc3dbf296f 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -37,7 +37,7 @@ var format = require( '@stdlib/string/format' );
 * @param {...*} values - scalar values
 * @param {ndarray} out - output ndarray
 * @throws {TypeError} first argument must a be one-dimensional ndarray
-* @throws {Error} must be provided at least three arguments
+* @throws {Error} must provide at least three arguments
 * @throws {TypeError} output argument must a be one-dimensional ndarray
 * @returns {ndarray} output ndarray
 *

From 6fdc3cd0a390e80f0c19016a18ac7b908b362288 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:42:48 -0800
Subject: [PATCH 09/14] docs: fix descriptions

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index 31fc3dbf296f..5d36085b76d1 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -36,9 +36,9 @@ var format = require( '@stdlib/string/format' );
 * @param {ndarray} x - input ndarray
 * @param {...*} values - scalar values
 * @param {ndarray} out - output ndarray
-* @throws {TypeError} first argument must a be one-dimensional ndarray
+* @throws {TypeError} first argument must be a one-dimensional ndarray
+* @throws {TypeError} last argument must be a one-dimensional ndarray
 * @throws {Error} must provide at least three arguments
-* @throws {TypeError} output argument must a be one-dimensional ndarray
 * @returns {ndarray} output ndarray
 *
 * @example

From 2257cbeaf448a7ed07bf79bc4afebfcaf27f8d98 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:43:35 -0800
Subject: [PATCH 10/14] fix: update error message

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index 5d36085b76d1..94308d306884 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -66,7 +66,7 @@ function assign( x ) {
 	}
 	nargs = arguments.length;
 	if ( nargs < 3 ) {
-		throw new Error( 'invalid operation. Must provide at least three arguments.' );
+		throw new Error( 'invalid invocation. Must provide at least three arguments.' );
 	}
 	out = arguments[ nargs - 1 ];
 	if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {

From 33b5073a1ec009d40e4713d8eba65422fde56207 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:44:11 -0800
Subject: [PATCH 11/14] fix: update error message

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index 94308d306884..1427564144a0 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -70,7 +70,7 @@ function assign( x ) {
 	}
 	out = arguments[ nargs - 1 ];
 	if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {
-		throw new TypeError( format( 'invalid argument. Output argument must be a one-dimensional ndarray. Value: `%s`.', out ) );
+		throw new TypeError( format( 'invalid argument. Last argument must be a one-dimensional ndarray. Value: `%s`.', out ) );
 	}
 	args = [];
 	dtype = getDType( x );

From 0dc164fa137ab7d201a894cebc924ce1ca9e98db Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:45:07 -0800
Subject: [PATCH 12/14] style: remove spaces

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
index 1427564144a0..050631acea50 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/assign.js
@@ -68,13 +68,13 @@ function assign( x ) {
 	if ( nargs < 3 ) {
 		throw new Error( 'invalid invocation. Must provide at least three arguments.' );
 	}
-	out = arguments[ nargs - 1 ];
+	out = arguments[ nargs-1 ];
 	if ( !isndarrayLike( out ) || ndims( out ) !== 1 ) {
 		throw new TypeError( format( 'invalid argument. Last argument must be a one-dimensional ndarray. Value: `%s`.', out ) );
 	}
-	args = [];
 	dtype = getDType( x );
-	for ( i = 1; i < nargs - 1; i++ ) {
+	args = [];
+	for ( i = 1; i < nargs-1; i++ ) {
 		args.push( scalar2ndarray( arguments[ i ], {
 			'dtype': dtype
 		}));

From 7d0ff00bf6ddc3e9394d4fd8ca24477c6893ea52 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:46:47 -0800
Subject: [PATCH 13/14] Apply suggestions from code review

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/main.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
index 0df0eda13db5..bc037cb9093d 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
@@ -35,8 +35,8 @@ var format = require( '@stdlib/string/format' );
 *
 * @param {ndarray} x - input ndarray
 * @param {...*} values - scalar values
-* @throws {TypeError} first argument must a be one-dimensional ndarray
-* @throws {Error} must be provided at least two arguments
+* @throws {TypeError} first argument must be a one-dimensional ndarray
+* @throws {Error} must provide at least two arguments
 * @returns {ndarray} output ndarray
 *
 * @example
@@ -58,7 +58,7 @@ function unshift( x ) {
 	}
 	nargs = arguments.length;
 	if ( nargs < 2 ) {
-		throw new Error( 'invalid operation. Must provide at least two arguments.' );
+		throw new Error( 'invalid invocation. Must provide at least two arguments.' );
 	}
 	args = [];
 	dtype = getDType( x );

From db742ac87e4af4df8522f1bdb2c2bf22fa5c048c Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 25 Dec 2025 01:47:41 -0800
Subject: [PATCH 14/14] refactor: swap lines

Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/unshift/lib/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
index bc037cb9093d..00e4dcb3a164 100644
--- a/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/unshift/lib/main.js
@@ -60,8 +60,8 @@ function unshift( x ) {
 	if ( nargs < 2 ) {
 		throw new Error( 'invalid invocation. Must provide at least two arguments.' );
 	}
-	args = [];
 	dtype = getDType( x );
+	args = [];
 	for ( i = 1; i < nargs; i++ ) {
 		args.push( scalar2ndarray( arguments[ i ], {
 			'dtype': dtype