From 8ec678440d9a8f480292d1b8fe6164bf1aeb3191 Mon Sep 17 00:00:00 2001
From: Sachin Pangal <sachinpangal@Sachins-Air.lan>
Date: Fri, 7 Nov 2025 20:25:09 +0530
Subject: [PATCH 1/4] feat: add stats/base/ndarray/mediansorted

---
 .../stats/base/ndarray/mediansorted/README.md | 116 ++++++++++++
 .../mediansorted/benchmark/benchmark.js       | 105 +++++++++++
 .../base/ndarray/mediansorted/docs/repl.txt   |  31 ++++
 .../mediansorted/docs/types/index.d.ts        |  45 +++++
 .../ndarray/mediansorted/docs/types/test.ts   |  57 ++++++
 .../ndarray/mediansorted/examples/index.js    |  42 +++++
 .../base/ndarray/mediansorted/lib/index.js    |  44 +++++
 .../base/ndarray/mediansorted/lib/main.js     |  55 ++++++
 .../base/ndarray/mediansorted/package.json    |  67 +++++++
 .../base/ndarray/mediansorted/test/test.js    | 167 ++++++++++++++++++
 10 files changed, 729 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
new file mode 100644
index 000000000000..4c030905fdde
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
@@ -0,0 +1,116 @@
+<!--
+
+@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.
+
+-->
+
+# mediansorted
+
+> Compute the median value of a sorted one-dimensional ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var mediansorted = require( '@stdlib/stats/base/ndarray/mediansorted' );
+```
+
+#### mediansorted( arrays )
+
+Computes the median value of a sorted one-dimensional ndarray.
+
+```javascript
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = [ 1.0, 2.0, 3.0 ];
+var x = new ndarray( 'generic', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+
+var v = mediansorted( [ x ] );
+// returns 2.0
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing a sorted one-dimensional input ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty ndarray, the function returns `NaN`.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint-disable no-console -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var sort = require( '@stdlib/array/base/sort2hp' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var mediansorted = require( '@stdlib/stats/base/ndarray/mediansorted' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+    'dtype': 'generic'
+});
+
+// Sort the array:
+sort( xbuf, xbuf.length );
+
+var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = mediansorted( [ x ] );
+console.log( v );
+```
+
+</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/stats/base/ndarray/mediansorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
new file mode 100644
index 000000000000..a3b576df9b1a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
@@ -0,0 +1,105 @@
+/**
+* @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 uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var pkg = require( './../package.json' ).name;
+var mediansorted = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var xbuf;
+	var x;
+
+	xbuf = uniform( len, -10.0, 10.0, options );
+	xbuf.sort( function compare( a, b ) {
+		return a - b;
+	});
+	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	return benchmark;
+
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = mediansorted( [ x ] );
+			if ( isnan( v ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( v ) ) {
+			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( pkg+':len='+len, f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/repl.txt
new file mode 100644
index 000000000000..84b90d53d94d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/repl.txt
@@ -0,0 +1,31 @@
+
+{{alias}}( arrays )
+    Computes the median value of a sorted one-dimensional ndarray.
+
+    If provided an empty ndarray, the function returns `NaN`.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing a sorted one-dimensional input ndarray.
+
+    Returns
+    -------
+    out: number
+        Median value.
+
+    Examples
+    --------
+    > var xbuf = [ 1.0, 2.0, 3.0 ];
+    > var dt = 'generic';
+    > var sh = [ xbuf.length ];
+    > var sx = [ 1 ];
+    > var ox = 0;
+    > var ord = 'row-major';
+    > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+    > {{alias}}( [ x ] )
+    2.0
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/index.d.ts
new file mode 100644
index 000000000000..a53472bf7a3a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/index.d.ts
@@ -0,0 +1,45 @@
+/*
+* @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 { ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the median value of a sorted one-dimensional ndarray.
+*
+* @param arrays - array-like object containing a sorted input ndarray
+* @returns median value
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = [ 1.0, 2.0, 3.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+*
+* var v = mediansorted( [ x ] );
+* // returns 2.0
+*/
+declare function mediansorted<T extends ndarray = ndarray>( arrays: [ T ] ): number;
+
+
+// EXPORTS //
+
+export = mediansorted;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/test.ts
new file mode 100644
index 000000000000..6da978af700f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/docs/types/test.ts
@@ -0,0 +1,57 @@
+/*
+* @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.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import mediansorted = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'generic'
+	});
+
+	mediansorted( [ x ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	mediansorted( '10' ); // $ExpectError
+	mediansorted( 10 ); // $ExpectError
+	mediansorted( true ); // $ExpectError
+	mediansorted( false ); // $ExpectError
+	mediansorted( null ); // $ExpectError
+	mediansorted( undefined ); // $ExpectError
+	mediansorted( [] ); // $ExpectError
+	mediansorted( {} ); // $ExpectError
+	mediansorted( ( 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': 'generic'
+	});
+
+	mediansorted(); // $ExpectError
+	mediansorted( [ x ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
new file mode 100644
index 000000000000..33c52a5bdde3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @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 uniform = require( '@stdlib/random/array/uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var mediansorted = require( './../lib' );
+
+// Create a sorted array:
+var xbuf = uniform( 10, -10.0, 10.0, {
+	'dtype': 'generic'
+});
+
+// Sort the array:
+xbuf.sort( function compare( a, b ) {
+	return a - b;
+});
+
+// Create an ndarray:
+var x = new ndarray( 'generic', xbuf, [ 10 ], [ 1 ], 0, 'row-major' );
+
+// Compute the median:
+var v = mediansorted( [ x ] );
+
+console.log( 'x: %s', x.data );
+console.log( 'median: %d', v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/index.js
new file mode 100644
index 000000000000..49d80b4237e8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/index.js
@@ -0,0 +1,44 @@
+/**
+* @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';
+
+/**
+* Compute the median value of a sorted one-dimensional ndarray.
+*
+* @module @stdlib/stats/base/ndarray/mediansorted
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var mediansorted = require( '@stdlib/stats/base/ndarray/mediansorted' );
+*
+* var xbuf = [ 1.0, 2.0, 3.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+*
+* var v = mediansorted( [ x ] );
+* // returns 2.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/main.js
new file mode 100644
index 000000000000..bb295a2f0031
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/lib/main.js
@@ -0,0 +1,55 @@
+/**
+* @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 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/stats/strided/mediansorted' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the median value of a sorted one-dimensional ndarray.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing a sorted input ndarray
+* @returns {number} median value
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = [ 1.0, 2.0, 3.0 ];
+* var x = new ndarray( 'generic', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+*
+* var v = mediansorted( [ x ] );
+* // returns 2.0
+*/
+function mediansorted( arrays ) {
+	var x = arrays[ 0 ];
+	return strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = mediansorted;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/package.json
new file mode 100644
index 000000000000..99b773d7b135
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/package.json
@@ -0,0 +1,67 @@
+{
+  "name": "@stdlib/stats/base/ndarray/mediansorted",
+  "version": "0.0.0",
+  "description": "Compute the median value of a sorted one-dimensional 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",
+    "statistics",
+    "stats",
+    "mathematics",
+    "math",
+    "median",
+    "mid",
+    "middle",
+    "center",
+    "central tendency",
+    "sorted",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js
new file mode 100644
index 000000000000..7499afa0bb2a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js
@@ -0,0 +1,167 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var mediansorted = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} 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( 'generic', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof mediansorted, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( mediansorted.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function calculates the median value of a sorted one-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, 2.0, 3.0 ];
+	v = mediansorted( [ vector( x, 3, 1, 0 ) ] );
+	t.strictEqual( v, 2.0, 'returns expected value' );
+
+	x = [ 3.0, 2.0, 1.0 ];
+	v = mediansorted( [ vector( x, 3, 1, 0 ) ] );
+	t.strictEqual( v, 2.0, 'returns expected value' );
+
+	x = [ 1.0, 2.0, 3.0, 4.0 ];
+	v = mediansorted( [ vector( x, 4, 1, 0 ) ] );
+	t.strictEqual( v, 2.5, 'returns expected value' );
+
+	x = [ 4.0, 3.0, 2.0, 1.0 ];
+	v = mediansorted( [ vector( x, 4, 1, 0 ) ] );
+	t.strictEqual( v, 2.5, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an empty vector, the function returns `NaN`', function test( t ) {
+	var x;
+	var v;
+
+	x = [];
+
+	v = mediansorted( [ vector( x, 0, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a vector containing a single element, the function returns that element', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0 ];
+
+	v = mediansorted( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-unit strides', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		3.0,  // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	];
+
+	v = mediansorted( [ vector( x, 4, 2, 0 ) ] );
+
+	t.strictEqual( v, 2.5, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having negative strides', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		2.0,  // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	];
+
+	v = mediansorted( [ vector( x, 4, -2, 6 ) ] );
+
+	t.strictEqual( v, 2.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
+	var x;
+	var v;
+
+	x = [
+		2.0,
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		2.0,
+		3.0,  // 2
+		3.0,
+		4.0   // 3
+	];
+
+	v = mediansorted( [ vector( x, 4, 2, 1 ) ] );
+	t.strictEqual( v, 2.5, 'returns expected value' );
+
+	t.end();
+});

From dd41c5c319af89709de43afec675e4df447908cf Mon Sep 17 00:00:00 2001
From: Sachin Pangal <sachinpangal@Sachins-Air.lan>
Date: Fri, 7 Nov 2025 20:38:46 +0530
Subject: [PATCH 2/4] Fix: update README, benchmark, and example files for
 mediansorted

---
 .../@stdlib/stats/base/ndarray/mediansorted/README.md       | 3 +--
 .../stats/base/ndarray/mediansorted/benchmark/benchmark.js  | 4 +---
 .../stats/base/ndarray/mediansorted/examples/index.js       | 6 ++----
 3 files changed, 4 insertions(+), 9 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
index 4c030905fdde..d34132808b76 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
@@ -76,7 +76,6 @@ The function has the following parameters:
 
 ```javascript
 var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var sort = require( '@stdlib/array/base/sort2hp' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var mediansorted = require( '@stdlib/stats/base/ndarray/mediansorted' );
@@ -86,7 +85,7 @@ var xbuf = discreteUniform( 10, -50, 50, {
 });
 
 // Sort the array:
-sort( xbuf, xbuf.length );
+xbuf.sort( ( a, b ) => a - b );
 
 var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
index a3b576df9b1a..4cacf7938da0 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
@@ -50,9 +50,7 @@ function createBenchmark( len ) {
 	var x;
 
 	xbuf = uniform( len, -10.0, 10.0, options );
-	xbuf.sort( function compare( a, b ) {
-		return a - b;
-	});
+	xbuf.sort( ( a, b ) => a - b );
 	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
 
 	return benchmark;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
index 33c52a5bdde3..6dd18d5fcc09 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
@@ -27,10 +27,8 @@ var xbuf = uniform( 10, -10.0, 10.0, {
 	'dtype': 'generic'
 });
 
-// Sort the array:
-xbuf.sort( function compare( a, b ) {
-	return a - b;
-});
+// Sort the array (using arrow function for ESLint compliance):
+xbuf.sort( ( a, b ) => a - b );
 
 // Create an ndarray:
 var x = new ndarray( 'generic', xbuf, [ 10 ], [ 1 ], 0, 'row-major' );

From d822ad0cb518c853a6a030576445f5767e24ed96 Mon Sep 17 00:00:00 2001
From: Sachin Pangal <sachinpangal@Sachins-Air.lan>
Date: Fri, 7 Nov 2025 20:44:36 +0530
Subject: [PATCH 3/4] Update: revise README, benchmark, and examples for
 mediansorted

---
 .../stats/base/ndarray/mediansorted/README.md  |  7 ++++++-
 .../mediansorted/benchmark/benchmark.js        | 18 +++++++++++++++---
 .../ndarray/mediansorted/examples/index.js     |  8 +-------
 3 files changed, 22 insertions(+), 11 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
index d34132808b76..7435ba318d77 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
@@ -80,12 +80,17 @@ var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var mediansorted = require( '@stdlib/stats/base/ndarray/mediansorted' );
 
+// Define a comparison function for sorting in ascending order:
+function ascending( a, b ) {
+    return a - b;
+}
+
 var xbuf = discreteUniform( 10, -50, 50, {
     'dtype': 'generic'
 });
 
 // Sort the array:
-xbuf.sort( ( a, b ) => a - b );
+xbuf.sort( ascending );
 
 var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
index 4cacf7938da0..fe15480da6f8 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
@@ -38,6 +38,18 @@ var options = {
 
 // FUNCTIONS //
 
+/**
+* Comparison function for sorting in ascending order.
+*
+* @private
+* @param {number} a - first value
+* @param {number} b - second value
+* @returns {number} difference
+*/
+function ascending( a, b ) {
+	return a - b;
+}
+
 /**
 * Creates a benchmark function.
 *
@@ -49,8 +61,8 @@ function createBenchmark( len ) {
 	var xbuf;
 	var x;
 
-	xbuf = uniform( len, -10.0, 10.0, options );
-	xbuf.sort( ( a, b ) => a - b );
+	xbuf = discreteUniform( len, -100, 100, options );
+	xbuf.sort( ascending );
 	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
 
 	return benchmark;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
index 6dd18d5fcc09..f38641964f29 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
@@ -18,17 +18,11 @@
 
 'use strict';
 
-var uniform = require( '@stdlib/random/array/uniform' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var mediansorted = require( './../lib' );
 
 // Create a sorted array:
-var xbuf = uniform( 10, -10.0, 10.0, {
-	'dtype': 'generic'
-});
-
-// Sort the array (using arrow function for ESLint compliance):
-xbuf.sort( ( a, b ) => a - b );
+var xbuf = [ -3.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ];
 
 // Create an ndarray:
 var x = new ndarray( 'generic', xbuf, [ 10 ], [ 1 ], 0, 'row-major' );

From 988f7858e3799cfbc22561dc9892f7784db02fa2 Mon Sep 17 00:00:00 2001
From: Sachin Pangal <sachinpangal@Sachins-Air.lan>
Date: Fri, 7 Nov 2025 23:38:29 +0530
Subject: [PATCH 4/4] updated test cases

---
 .../stats/base/ndarray/mediansorted/README.md | 17 ++----
 .../mediansorted/benchmark/benchmark.js       | 17 +-----
 .../ndarray/mediansorted/examples/index.js    | 15 +++--
 .../base/ndarray/mediansorted/test/test.js    | 56 ++++++++++++++-----
 4 files changed, 55 insertions(+), 50 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
index 7435ba318d77..41fad23d163b 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/README.md
@@ -72,25 +72,16 @@ The function has the following parameters:
 
 ## Examples
 
-<!-- eslint-disable no-console -->
+<!-- eslint no-undef: "error" -->
 
 ```javascript
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var linspace = require( '@stdlib/array/linspace' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var mediansorted = require( '@stdlib/stats/base/ndarray/mediansorted' );
 
-// Define a comparison function for sorting in ascending order:
-function ascending( a, b ) {
-    return a - b;
-}
-
-var xbuf = discreteUniform( 10, -50, 50, {
-    'dtype': 'generic'
-});
-
-// Sort the array:
-xbuf.sort( ascending );
+// Create a linearly spaced sorted array:
+var xbuf = linspace( 0.0, 10.0, 11 );
 
 var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
index fe15480da6f8..4235afe6c3f7 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/benchmark/benchmark.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var linspace = require( '@stdlib/array/linspace' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
@@ -38,18 +38,6 @@ var options = {
 
 // FUNCTIONS //
 
-/**
-* Comparison function for sorting in ascending order.
-*
-* @private
-* @param {number} a - first value
-* @param {number} b - second value
-* @returns {number} difference
-*/
-function ascending( a, b ) {
-	return a - b;
-}
-
 /**
 * Creates a benchmark function.
 *
@@ -61,8 +49,7 @@ function createBenchmark( len ) {
 	var xbuf;
 	var x;
 
-	xbuf = discreteUniform( len, -100, 100, options );
-	xbuf.sort( ascending );
+	xbuf = linspace( 0.0, 100.0, len );
 	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
 
 	return benchmark;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
index f38641964f29..68b4a38a7f2c 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/examples/index.js
@@ -18,17 +18,16 @@
 
 'use strict';
 
+var linspace = require( '@stdlib/array/linspace' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var mediansorted = require( './../lib' );
 
-// Create a sorted array:
-var xbuf = [ -3.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0 ];
+// Create a linearly spaced sorted array:
+var xbuf = linspace( 0.0, 10.0, 11 );
 
-// Create an ndarray:
-var x = new ndarray( 'generic', xbuf, [ 10 ], [ 1 ], 0, 'row-major' );
+var x = new ndarray( 'generic', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
 
-// Compute the median:
 var v = mediansorted( [ x ] );
-
-console.log( 'x: %s', x.data );
-console.log( 'median: %d', v );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js
index 7499afa0bb2a..a19ea9479dc0 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/mediansorted/test/test.js
@@ -60,21 +60,37 @@ tape( 'the function calculates the median value of a sorted one-dimensional ndar
 	var x;
 	var v;
 
-	x = [ 1.0, 2.0, 3.0 ];
-	v = mediansorted( [ vector( x, 3, 1, 0 ) ] );
-	t.strictEqual( v, 2.0, 'returns expected value' );
+	x = [ -3.0, -2.0, -1.0, 1.0, 2.0, 3.0 ];
+	v = mediansorted( [ vector( x, 6, 1, 0 ) ] );
+	t.strictEqual( v, 0.0, 'returns expected value' );
 
-	x = [ 3.0, 2.0, 1.0 ];
-	v = mediansorted( [ vector( x, 3, 1, 0 ) ] );
-	t.strictEqual( v, 2.0, 'returns expected value' );
+	x = [ 3.0, 2.0, 1.0, 0.0, -1.0, -2.0, -3.0 ];
+	v = mediansorted( [ vector( x, 7, 1, 0 ) ] );
+	t.strictEqual( v, 0.0, 'returns expected value' );
 
-	x = [ 1.0, 2.0, 3.0, 4.0 ];
-	v = mediansorted( [ vector( x, 4, 1, 0 ) ] );
-	t.strictEqual( v, 2.5, 'returns expected value' );
+	x = [ -4.0, -5.0 ];
+	v = mediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( v, -4.5, 'returns expected value' );
 
-	x = [ 4.0, 3.0, 2.0, 1.0 ];
-	v = mediansorted( [ vector( x, 4, 1, 0 ) ] );
-	t.strictEqual( v, 2.5, 'returns expected value' );
+	x = [ -4.0, -4.0 ];
+	v = mediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( v, -4.0, 'returns expected value' );
+
+	x = [ NaN ];
+	v = mediansorted( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = [ NaN, NaN ];
+	v = mediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = [ 5.0, NaN ];
+	v = mediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = [ NaN, 5.0 ];
+	v = mediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
 
 	t.end();
 });
@@ -133,7 +149,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		2.0,
 		2.0,  // 2
 		-7.0,
-		2.0,  // 1
+		3.0,  // 1
 		3.0,
 		4.0,  // 0
 		2.0
@@ -141,7 +157,19 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 
 	v = mediansorted( [ vector( x, 4, -2, 6 ) ] );
 
-	t.strictEqual( v, 2.0, 'returns expected value' );
+	t.strictEqual( v, 2.5, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a stride equal to `0`, the function returns the first indexed element', function test( t ) {
+	var x;
+	var v;
+
+	x = [ 1.0, -2.0, -4.0, -5.0, -6.0 ];
+
+	v = mediansorted( [ vector( x, 5, 0, 0 ) ] );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
 	t.end();
 });