From 50411a508ccfdc6df394b18a5bc8e1ad25b2488b Mon Sep 17 00:00:00 2001
From: DivyanshuVorrtex <divyanshuchandra9027@gmail.com>
Date: Sat, 29 Nov 2025 20:26:03 +0000
Subject: [PATCH 1/4] smediansorted

---
 .../base/ndarray/smediansorted/README.md      | 115 ++++++++++
 .../smediansorted/benchmark/benchmark.js      | 102 +++++++++
 .../base/ndarray/smediansorted/docs/repl.txt  |  32 +++
 .../smediansorted/docs/types/index.d.ts       |  46 ++++
 .../ndarray/smediansorted/docs/types/test.ts  |  57 +++++
 .../ndarray/smediansorted/examples/index.js   |  35 ++++
 .../base/ndarray/smediansorted/lib/index.js   |  44 ++++
 .../base/ndarray/smediansorted/lib/main.js    |  56 +++++
 .../base/ndarray/smediansorted/package.json   |  67 ++++++
 .../base/ndarray/smediansorted/test/test.js   | 196 ++++++++++++++++++
 10 files changed, 750 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/README.md
new file mode 100644
index 000000000000..c7e4f0578ba7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/README.md
@@ -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.
+
+-->
+
+# smediansorted
+
+> Compute the median value of a sorted one-dimensional single-precision floating-point ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var smediansorted = require( '@stdlib/stats/base/ndarray/smediansorted' );
+```
+
+#### smediansorted( arrays )
+
+Computes the median value of a sorted one-dimensional single-precision floating-point ndarray.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+
+var v = smediansorted( [ 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`.
+-   The one-dimensional input ndarray must be sorted in either **strictly** ascending or descending order.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var linspace = require( '@stdlib/array/linspace' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var smediansorted = require( '@stdlib/stats/base/ndarray/smediansorted' );
+
+// Create a linearly spaced sorted array:
+var xbuf = linspace( 0.0, 10.0, 11, {
+    'dtype': 'float32'
+});
+
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = smediansorted( [ 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/smediansorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/benchmark/benchmark.js
new file mode 100644
index 000000000000..bcdcf5abcdf5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/benchmark/benchmark.js
@@ -0,0 +1,102 @@
+/**
+* @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 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' );
+var pkg = require( './../package.json' ).name;
+var smediansorted = 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 xbuf;
+	var x;
+
+	xbuf = linspace( 0.0, 100.0, len, options );
+	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 = smediansorted( [ 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/smediansorted/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/repl.txt
new file mode 100644
index 000000000000..527cfdaa6026
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( arrays )
+    Computes the median value of a sorted one-dimensional single-precision
+    floating-point 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 = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0 ] );
+    > var dt = 'float32';
+    > 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/smediansorted/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/types/index.d.ts
new file mode 100644
index 000000000000..50334accf84b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/types/index.d.ts
@@ -0,0 +1,46 @@
+/*
+* @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 { float32ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the median value of a sorted one-dimensional single-precision floating-point ndarray.
+*
+* @param arrays - array-like object containing a sorted input ndarray
+* @returns median value
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smediansorted( [ x ] );
+* // returns 2.0
+*/
+declare function smediansorted( arrays: [ float32ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = smediansorted;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/docs/types/test.ts
new file mode 100644
index 000000000000..93ed649404a2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/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 smediansorted = require( './index' );
+
+
+// TESTS //
+
+// The function returns a ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+
+	smediansorted( [ x ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	smediansorted( '10' ); // $ExpectError
+	smediansorted( 10 ); // $ExpectError
+	smediansorted( true ); // $ExpectError
+	smediansorted( false ); // $ExpectError
+	smediansorted( null ); // $ExpectError
+	smediansorted( undefined ); // $ExpectError
+	smediansorted( [] ); // $ExpectError
+	smediansorted( {} ); // $ExpectError
+	smediansorted( ( 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'
+	});
+
+	smediansorted(); // $ExpectError
+	smediansorted( [ x ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/examples/index.js
new file mode 100644
index 000000000000..09eed17e3b7c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/examples/index.js
@@ -0,0 +1,35 @@
+/**
+* @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 linspace = require( '@stdlib/array/linspace' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var smediansorted = require( './../lib' );
+
+// Create a linearly spaced sorted array:
+var xbuf = linspace( 0.0, 10.0, 11, {
+	'dtype': 'float32'
+});
+
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = smediansorted( [ x ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/index.js
new file mode 100644
index 000000000000..05b0b8060594
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/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 single-precision floating-point ndarray.
+*
+* @module @stdlib/stats/base/ndarray/smediansorted
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var smediansorted = require( '@stdlib/stats/base/ndarray/smediansorted' );
+*
+* var xbuf = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smediansorted( [ x ] );
+* // returns 2.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.js
new file mode 100644
index 000000000000..1d4f2e5b41dc
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.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';
+
+// 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 single-precision floating-point ndarray.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing a sorted input ndarray
+* @returns {number} median value
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smediansorted( [ x ] );
+* // returns 2.0
+*/
+function smediansorted( 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 = smediansorted;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/package.json
new file mode 100644
index 000000000000..e7741206f349
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/package.json
@@ -0,0 +1,67 @@
+{
+  "name": "@stdlib/stats/base/ndarray/smediansorted",
+  "version": "0.0.0",
+  "description": "Compute the median value of a sorted 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",
+    "statistics",
+    "stats",
+    "mathematics",
+    "math",
+    "median",
+    "mid",
+    "middle",
+    "center",
+    "central tendency",
+    "sorted",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js
new file mode 100644
index 000000000000..1b15881ed61f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js
@@ -0,0 +1,196 @@
+/**
+* @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 Float32Array = require( '@stdlib/array/float32' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var smediansorted = 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' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof smediansorted, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( smediansorted.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 = new Float32Array( [ -3.0, -2.0, -1.0, 1.0, 2.0, 3.0 ] );
+	v = smediansorted( [ vector( x, 6, 1, 0 ) ] );
+	t.strictEqual( v, 0.0, 'returns expected value' );
+
+	x = new Float32Array( [ 3.0, 2.0, 1.0, 0.0, -1.0, -2.0, -3.0 ] );
+	v = smediansorted( [ vector( x, 7, 1, 0 ) ] );
+	t.strictEqual( v, 0.0, 'returns expected value' );
+
+	x = new Float32Array( [ -4.0, -5.0 ] );
+	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( v, -4.5, 'returns expected value' );
+
+	x = new Float32Array( [ -4.0, -4.0 ] );
+	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( v, -4.0, 'returns expected value' );
+
+	x = new Float32Array( [ NaN ] );
+	v = smediansorted( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ 5.0, NaN ] );
+	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, 5.0 ] );
+	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an empty ndarray, the function returns `NaN`', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [] );
+
+	v = smediansorted( [ vector( x, 0, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an ndarray containing a single element, the function returns that element', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ 1.0 ] );
+
+	v = smediansorted( [ 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 = new Float32Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		3.0,  // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = smediansorted( [ 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 = new Float32Array([
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		3.0,  // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = smediansorted( [ vector( x, 4, -2, 6 ) ] );
+
+	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 = new Float32Array( [ 1.0, -2.0, -4.0, -5.0, -6.0 ] );
+
+	v = smediansorted( [ vector( x, 5, 0, 0 ) ] );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		2.0,
+		3.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+
+	v = smediansorted( [ vector( x, 4, 2, 1 ) ] );
+	t.strictEqual( v, 2.5, 'returns expected value' );
+
+	t.end();
+});

From 4460560a2c68c8154b2580bad940985499654cba Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sat, 29 Nov 2025 15:03:17 -0800
Subject: [PATCH 2/4] bench: use single-precision utils

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../stats/base/ndarray/smediansorted/benchmark/benchmark.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/benchmark/benchmark.js
index bcdcf5abcdf5..cd075575a80d 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/benchmark/benchmark.js
@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var linspace = require( '@stdlib/array/linspace' );
-var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var pkg = require( './../package.json' ).name;
@@ -61,12 +61,12 @@ function createBenchmark( len ) {
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
 			v = smediansorted( [ x ] );
-			if ( isnan( v ) ) {
+			if ( isnanf( v ) ) {
 				b.fail( 'should not return NaN' );
 			}
 		}
 		b.toc();
-		if ( isnan( v ) ) {
+		if ( isnanf( v ) ) {
 			b.fail( 'should not return NaN' );
 		}
 		b.pass( 'benchmark finished' );

From b06a6ddf9a683b80568aa1d0288705b307583dae Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sat, 29 Nov 2025 15:03:48 -0800
Subject: [PATCH 3/4] fix: update import

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.js
index 1d4f2e5b41dc..d28a463496f6 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/lib/main.js
@@ -24,7 +24,7 @@ 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;
+var strided = require( '@stdlib/stats/strided/smediansorted' ).ndarray;
 
 
 // MAIN //

From 7181ed224889699408780dffc3b8b6aa6787b0d1 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sat, 29 Nov 2025 15:04:30 -0800
Subject: [PATCH 4/4] test: use single-precision utils

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../stats/base/ndarray/smediansorted/test/test.js    | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js
index 1b15881ed61f..47519b7c64d4 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smediansorted/test/test.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
 var Float32Array = require( '@stdlib/array/float32' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var smediansorted = require( './../lib' );
@@ -79,19 +79,19 @@ tape( 'the function calculates the median value of a sorted one-dimensional ndar
 
 	x = new Float32Array( [ NaN ] );
 	v = smediansorted( [ vector( x, 1, 1, 0 ) ] );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
 
 	x = new Float32Array( [ NaN, NaN ] );
 	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
 
 	x = new Float32Array( [ 5.0, NaN ] );
 	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
 
 	x = new Float32Array( [ NaN, 5.0 ] );
 	v = smediansorted( [ vector( x, 2, 1, 0 ) ] );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
 
 	t.end();
 });
@@ -103,7 +103,7 @@ tape( 'if provided an empty ndarray, the function returns `NaN`', function test(
 	x = new Float32Array( [] );
 
 	v = smediansorted( [ vector( x, 0, 1, 0 ) ] );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
 
 	t.end();
 });