From 1a8735ac42e6c467ffd6a870c0cba774d7c7e84a Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Fri, 7 Aug 2026 12:16:46 +0500
Subject: [PATCH] feat: add blas/ext/base/ndarray/scopy-within

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---
 .../ext/base/ndarray/scopy-within/README.md   | 146 +++++++++
 .../scopy-within/benchmark/benchmark.js       | 120 +++++++
 .../base/ndarray/scopy-within/docs/repl.txt   |  41 +++
 .../scopy-within/docs/types/index.d.ts        |  69 ++++
 .../ndarray/scopy-within/docs/types/test.ts   |  82 +++++
 .../ndarray/scopy-within/examples/index.js    |  47 +++
 .../base/ndarray/scopy-within/lib/index.js    |  58 ++++
 .../ext/base/ndarray/scopy-within/lib/main.js |  99 ++++++
 .../base/ndarray/scopy-within/package.json    |  70 ++++
 .../base/ndarray/scopy-within/test/test.js    | 301 ++++++++++++++++++
 10 files changed, 1033 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/README.md
new file mode 100644
index 000000000000..eafd4520348f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/README.md
@@ -0,0 +1,146 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# scopyWithin
+
+> Perform an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var scopyWithin = require( '@stdlib/blas/ext/base/ndarray/scopy-within' );
+```
+
+#### scopyWithin( arrays )
+
+Performs an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.
+
+```javascript
+var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+
+var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var target = scalar2ndarray( 3, {
+    'dtype': 'generic'
+});
+var start = scalar2ndarray( 1, {
+    'dtype': 'generic'
+});
+var end = scalar2ndarray( 4, {
+    'dtype': 'generic'
+});
+
+var w = zeros( [ 6 ], {
+    'dtype': 'float32'
+});
+
+var out = scopyWithin( [ x, target, start, end, w ] );
+// returns <ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray specifying a target index.
+    -   a zero-dimensional ndarray specifying a source start index (inclusive).
+    -   a zero-dimensional ndarray specifying a source end index (exclusive).
+    -   a one-dimensional workspace ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The input ndarray is copied **in-place** (i.e., the input ndarray is **mutated**).
+-   If the `start` and `target` index ranges do not overlap, the `workspace` ndarray is unused and thus ignored.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scopyWithin = require( '@stdlib/blas/ext/base/ndarray/scopy-within' );
+
+var x = discreteUniform( [ 10 ], -100, 100, {
+    'dtype': 'float32'
+});
+console.log( ndarray2array( x ) );
+
+var target = scalar2ndarray( 5, {
+    'dtype': 'generic'
+});
+var start = scalar2ndarray( 0, {
+    'dtype': 'generic'
+});
+var end = scalar2ndarray( 3, {
+    'dtype': 'generic'
+});
+
+var w = zeros( [ 10 ], {
+    'dtype': 'float32'
+});
+
+scopyWithin( [ x, target, start, end, w ] );
+console.log( ndarray2array( x ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- 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">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/benchmark/benchmark.js
new file mode 100644
index 000000000000..f285080afbff
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/benchmark/benchmark.js
@@ -0,0 +1,120 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/uniform' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var scopyWithin = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var target;
+	var start;
+	var opts;
+	var end;
+	var x;
+	var w;
+
+	opts = {
+		'dtype': 'generic'
+	};
+	x = uniform( [ len ], 0.0, 100.0, options );
+	w = zeros( [ len ], options );
+	target = scalar2ndarray( 0, opts );
+	start = scalar2ndarray( 0, opts );
+	end = scalar2ndarray( len, opts );
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = scopyWithin( [ x, target, start, end, w ] );
+			if ( typeof out !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnanf( x.get( i%len ) ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/repl.txt
new file mode 100644
index 000000000000..98a3d2812bc9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/repl.txt
@@ -0,0 +1,41 @@
+
+{{alias}}( arrays )
+    Performs an in-place copy of elements within a one-dimensional single-
+    precision floating-point ndarray.
+
+    The input ndarray is copied *in-place* (i.e., the input ndarray is
+    *mutated*).
+
+    If the `start` and `target` index ranges do not overlap, the `workspace`
+    ndarray is unused and thus ignored.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray specifying a target index.
+        - a zero-dimensional ndarray specifying a source start index
+        (inclusive).
+        - a zero-dimensional ndarray specifying a source end index
+        (exclusive).
+        - a one-dimensional workspace ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+    > var t = {{alias:@stdlib/ndarray/from-scalar}}( 3, { 'dtype': 'generic' } );
+    > var s = {{alias:@stdlib/ndarray/from-scalar}}( 1, { 'dtype': 'generic' } );
+    > var e = {{alias:@stdlib/ndarray/from-scalar}}( 4, { 'dtype': 'generic' } );
+    > var w = {{alias:@stdlib/ndarray/zeros}}( [ 6 ], { 'dtype': 'float32' } );
+    > {{alias}}( [ x, t, s, e, w ] )
+    <ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/index.d.ts
new file mode 100644
index 000000000000..d8d925d57499
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/index.d.ts
@@ -0,0 +1,69 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { typedndarray, float32ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Performs an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray specifying a target index.
+*     -   a zero-dimensional ndarray specifying a source start index (inclusive).
+*     -   a zero-dimensional ndarray specifying a source end index (exclusive).
+*     -   a one-dimensional workspace ndarray.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns input ndarray
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var target = scalar2ndarray( 3, {
+*    'dtype': 'generic'
+* });
+* var start = scalar2ndarray( 1, {
+*    'dtype': 'generic'
+* });
+* var end = scalar2ndarray( 4, {
+*    'dtype': 'generic'
+* });
+*
+* var w = zeros( [ 6 ], {
+*    'dtype': 'float32'
+* });
+*
+* var out = scopyWithin( [ x, target, start, end, w ] );
+* // returns <ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]
+*/
+declare function scopyWithin( arrays: [ float32ndarray, typedndarray<number>, typedndarray<number>, typedndarray<number>, float32ndarray ] ): float32ndarray;
+
+
+// EXPORTS //
+
+export = scopyWithin;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/test.ts
new file mode 100644
index 000000000000..5e7fcafc79d5
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/docs/types/test.ts
@@ -0,0 +1,82 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import scopyWithin = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const target = scalar2ndarray( 3, {
+		'dtype': 'generic'
+	});
+	const start = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	const end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+	const w = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+
+	scopyWithin( [ x, target, start, end, w ] ); // $ExpectType float32ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	scopyWithin( '10' ); // $ExpectError
+	scopyWithin( 10 ); // $ExpectError
+	scopyWithin( true ); // $ExpectError
+	scopyWithin( false ); // $ExpectError
+	scopyWithin( null ); // $ExpectError
+	scopyWithin( undefined ); // $ExpectError
+	scopyWithin( [] ); // $ExpectError
+	scopyWithin( {} ); // $ExpectError
+	scopyWithin( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const target = scalar2ndarray( 3, {
+		'dtype': 'generic'
+	});
+	const start = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	const end = scalar2ndarray( 4, {
+		'dtype': 'generic'
+	});
+	const w = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+
+	scopyWithin(); // $ExpectError
+	scopyWithin( [ x, target, start, end, w ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/examples/index.js
new file mode 100644
index 000000000000..012610f3d260
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/examples/index.js
@@ -0,0 +1,47 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scopyWithin = require( './../lib' );
+
+var x = discreteUniform( [ 10 ], -100, 100, {
+	'dtype': 'float32'
+});
+console.log( ndarray2array( x ) );
+
+var target = scalar2ndarray( 5, {
+	'dtype': 'generic'
+});
+var start = scalar2ndarray( 0, {
+	'dtype': 'generic'
+});
+var end = scalar2ndarray( 3, {
+	'dtype': 'generic'
+});
+
+var w = zeros( [ 10 ], {
+	'dtype': 'float32'
+});
+
+scopyWithin( [ x, target, start, end, w ] );
+console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/index.js
new file mode 100644
index 000000000000..883bd19537be
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/index.js
@@ -0,0 +1,58 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Perform an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.
+*
+* @module @stdlib/blas/ext/base/ndarray/scopy-within
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scopyWithin = require( '@stdlib/blas/ext/base/ndarray/scopy-within' );
+*
+* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var target = scalar2ndarray( 3, {
+*     'dtype': 'generic'
+* });
+* var start = scalar2ndarray( 1, {
+*     'dtype': 'generic'
+* });
+* var end = scalar2ndarray( 4, {
+*     'dtype': 'generic'
+* });
+*
+* var w = zeros( [ 6 ], {
+*     'dtype': 'float32'
+* });
+*
+* var out = scopyWithin( [ x, target, start, end, w ] );
+* // returns <ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/main.js
new file mode 100644
index 000000000000..ece268972fdf
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/lib/main.js
@@ -0,0 +1,99 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/scopy-within' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Performs an in-place copy of elements within a one-dimensional single-precision floating-point ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray specifying a target index.
+*     -   a zero-dimensional ndarray specifying a source start index (inclusive).
+*     -   a zero-dimensional ndarray specifying a source end index (exclusive).
+*     -   a one-dimensional workspace ndarray.
+*
+* -   If the `start` and `target` index ranges do not overlap, the `workspace` ndarray is unused and thus ignored.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} input ndarray
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+* var target = scalar2ndarray( 3, {
+*     'dtype': 'generic'
+* });
+* var start = scalar2ndarray( 1, {
+*     'dtype': 'generic'
+* });
+* var end = scalar2ndarray( 4, {
+*     'dtype': 'generic'
+* });
+*
+* var w = zeros( [ 6 ], {
+*     'dtype': 'float32'
+* });
+*
+* var out = scopyWithin( [ x, target, start, end, w ] );
+* // returns <ndarray>[ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ]
+*/
+function scopyWithin( arrays ) {
+	var ws;
+	var wo;
+	var wd;
+	var xs;
+	var xo;
+	var xd;
+	var x;
+	var w;
+
+	x = arrays[ 0 ];
+	w = arrays[ 4 ];
+	xd = getData( x );
+	xs = getStride( x, 0 );
+	xo = getOffset( x );
+	wd = getData( w );
+	ws = getStride( w, 0 );
+	wo = getOffset( w );
+	strided( numelDimension( x, 0 ), ndarraylike2scalar( arrays[ 1 ] ), ndarraylike2scalar( arrays[ 2 ] ), ndarraylike2scalar( arrays[ 3 ] ), xd, xs, xo, wd, ws, wo ); // eslint-disable-line max-len
+	return x;
+}
+
+
+// EXPORTS //
+
+module.exports = scopyWithin;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/package.json
new file mode 100644
index 000000000000..e24b18d5f318
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/package.json
@@ -0,0 +1,70 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/scopy-within",
+  "version": "0.0.0",
+  "description": "Perform an in-place copy of elements within a one-dimensional single-precision floating-point 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",
+    "stdmath",
+    "mathematics",
+    "math",
+    "blas",
+    "extended",
+    "copy",
+    "copywithin",
+    "within",
+    "move",
+    "strided",
+    "array",
+    "ndarray",
+    "float32",
+    "float",
+    "float32array"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/test/test.js
new file mode 100644
index 000000000000..2ebcffb78307
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scopy-within/test/test.js
@@ -0,0 +1,301 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float32Array = require( '@stdlib/array/float32' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scopyWithin = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Float32Array} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+/**
+* Returns a zero-dimensional ndarray.
+*
+* @private
+* @param {number} v - scalar value
+* @returns {ndarray} zero-dimensional ndarray
+*/
+function scalar( v ) {
+	return scalar2ndarray( v, {
+		'dtype': 'generic'
+	});
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof scopyWithin, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( scopyWithin.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function copies elements within a one-dimensional ndarray', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 6 );
+
+	x = vector( xbuf, 6, 1, 0 );
+	w = vector( wbuf, 6, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 3 ), scalar( 1 ), scalar( 4 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 2.0, 3.0, 4.0 ] ), 'returns expected value' );
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 6 );
+
+	x = vector( xbuf, 6, 1, 0 );
+	w = vector( wbuf, 6, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 3 ), scalar( 0 ), scalar( 3 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 1.0, 2.0, 3.0 ] ), 'returns expected value' );
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	wbuf = new Float32Array( 5 );
+
+	x = vector( xbuf, 5, 1, 0 );
+	w = vector( wbuf, 5, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 2 ), scalar( 0 ), scalar( 5 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 1.0, 2.0, 3.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if the `target` index is greater than or equal to the number of elements, the function returns the input ndarray unchanged', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 6 );
+
+	x = vector( xbuf, 6, 1, 0 );
+	w = vector( wbuf, 6, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 6 ), scalar( 0 ), scalar( 3 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ), 'returns expected value' );
+
+	actual = scopyWithin( [ x, scalar( 10 ), scalar( 0 ), scalar( 3 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if the input ndarray is empty, the function returns the input ndarray unchanged', function test( t ) {
+	var actual;
+	var x;
+	var w;
+
+	x = vector( new Float32Array( [] ), 0, 1, 0 );
+	w = vector( new Float32Array( [] ), 0, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 0 ), scalar( 0 ), scalar( 0 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if the `start` index is greater than or equal to the `end` index, the function returns the input ndarray unchanged', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 6 );
+
+	x = vector( xbuf, 6, 1, 0 );
+	w = vector( wbuf, 6, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 0 ), scalar( 3 ), scalar( 1 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ), 'returns expected value' );
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 6 );
+
+	x = vector( xbuf, 6, 1, 0 );
+	w = vector( wbuf, 6, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 0 ), scalar( 2 ), scalar( 2 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if the `end` index is greater than the number of elements, the function copies elements up to the last indexed element', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	wbuf = new Float32Array( 5 );
+
+	x = vector( xbuf, 5, 1, 0 );
+	w = vector( wbuf, 5, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 0 ), scalar( 2 ), scalar( 10 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 3.0, 4.0, 5.0, 4.0, 5.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a non-unit stride', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+	wbuf = new Float32Array( 4 );
+
+	x = vector( xbuf, 4, 2, 0 );
+	w = vector( wbuf, 4, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 0 ), scalar( 2 ), scalar( 4 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 5.0, 2.0, 7.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a negative stride', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 3 );
+
+	x = vector( xbuf, 3, -1, 2 );
+	w = vector( wbuf, 3, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 0 ), scalar( 1 ), scalar( 3 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 1.0, 2.0, 4.0, 5.0, 6.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a non-zero offset', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 4 );
+
+	x = vector( xbuf, 4, 1, 1 );
+	w = vector( wbuf, 4, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 2 ), scalar( 0 ), scalar( 2 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 2.0, 3.0, 6.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a zero stride', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+	wbuf = new Float32Array( 6 );
+
+	x = vector( xbuf, 6, 0, 0 );
+	w = vector( wbuf, 6, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 1 ), scalar( 0 ), scalar( 2 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ), 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a negative stride and non-zero offset', function test( t ) {
+	var actual;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+	wbuf = new Float32Array( 4 );
+
+	x = vector( xbuf, 4, -1, 3 );
+	w = vector( wbuf, 4, 1, 0 );
+
+	actual = scopyWithin( [ x, scalar( 0 ), scalar( 2 ), scalar( 4 ), w ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+	t.deepEqual( getData( actual ), new Float32Array( [ 1.0, 2.0, 1.0, 2.0, 5.0, 6.0, 7.0, 8.0 ] ), 'returns expected value' );
+
+	t.end();
+});