From 029a1583c90a644639f03b4ea7a011e4c45fc5f2 Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Wed, 12 Nov 2025 01:16:33 +0530
Subject: [PATCH 1/5] feat: add stats/base/ndarray/smaxabssorted

---
 .../base/ndarray/smaxabssorted/README.md      | 112 ++++++++++++
 .../smaxabssorted/benchmark/benchmark.js      | 102 +++++++++++
 .../base/ndarray/smaxabssorted/docs/repl.txt  |  32 ++++
 .../smaxabssorted/docs/types/index.d.ts       |  46 +++++
 .../ndarray/smaxabssorted/docs/types/test.ts  |  57 ++++++
 .../ndarray/smaxabssorted/examples/index.js   |  33 ++++
 .../base/ndarray/smaxabssorted/lib/index.js   |  45 +++++
 .../base/ndarray/smaxabssorted/lib/main.js    |  56 ++++++
 .../base/ndarray/smaxabssorted/package.json   |  72 ++++++++
 .../base/ndarray/smaxabssorted/test/test.js   | 173 ++++++++++++++++++
 10 files changed, 728 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
new file mode 100644
index 000000000000..8714ff612b54
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
@@ -0,0 +1,112 @@
+<!--
+
+@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.
+
+-->
+
+# smaxabssorted
+
+> Compute the maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var smaxabssorted = require( '@stdlib/stats/base/ndarray/smaxabssorted' );
+```
+
+#### smaxabssorted( arrays )
+
+Computes the maximum absolute 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, 3.0, -4.0, 2.0 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = smaxabssorted( [ x ] );
+// returns 4.0
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing a one-dimensional input ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty one-dimensional ndarray, the function returns `NaN`.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var smaxabssorted = require( '@stdlib/stats/base/ndarray/smaxabssorted' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+    'dtype': 'float32'
+});
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = smaxabssorted( [ 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/smaxabssorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/benchmark/benchmark.js
new file mode 100644
index 000000000000..ea56c12be675
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/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 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 smaxabssorted = 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 = uniform( len, -10.0, 10.0, 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 = smaxabssorted( [ 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/smaxabssorted/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt
new file mode 100644
index 000000000000..5337208568cf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( arrays )
+    Computes the maximum absolute 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 one-dimensional input ndarray.
+
+    Returns
+    -------
+    out: number
+        Maximum absolute value.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
+    > 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/smaxabssorted/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
new file mode 100644
index 000000000000..69c0e07b2fc3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/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 maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.
+*
+* @param arrays - array-like object containing an input ndarray
+* @returns maximum absolute value
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ -1.0, 3.0, -4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smaxabssorted( [ x ] );
+* // returns 4.0
+*/
+declare function smaxabssorted( arrays: [ float32ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = smaxabssorted;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/test.ts
new file mode 100644
index 000000000000..7101ed25e8f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/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 smaxabssorted = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+
+	smaxabssorted( [ x ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	smaxabssorted( '10' ); // $ExpectError
+	smaxabssorted( 10 ); // $ExpectError
+	smaxabssorted( true ); // $ExpectError
+	smaxabssorted( false ); // $ExpectError
+	smaxabssorted( null ); // $ExpectError
+	smaxabssorted( undefined ); // $ExpectError
+	smaxabssorted( [] ); // $ExpectError
+	smaxabssorted( {} ); // $ExpectError
+	smaxabssorted( ( 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'
+	});
+
+	smaxabssorted(); // $ExpectError
+	smaxabssorted( [ x ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js
new file mode 100644
index 000000000000..6c568c4f9138
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js
@@ -0,0 +1,33 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var smaxabssorted = require( './../lib' );
+
+var xbuf = discreteUniform( 10, -50, 50, {
+	'dtype': 'float32'
+});
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = smaxabssorted( [ x ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
new file mode 100644
index 000000000000..01b895358208
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
@@ -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.
+*/
+
+'use strict';
+
+/**
+* Compute the maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.
+*
+* @module @stdlib/stats/base/ndarray/smaxabssorted
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var smaxabssorted = require( '@stdlib/stats/base/ndarray/smaxabssorted' );
+*
+* var xbuf = new Float32Array( [ -1.0, 3.0, -4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smaxabssorted( [ x ] );
+* // returns 4.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
new file mode 100644
index 000000000000..886375c2b89c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/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/smaxabssorted' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray
+* @returns {number} maximum value
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ -1.0, 3.0, -4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smaxabssorted( [ x ] );
+* // returns 4.0
+*/
+function smaxabssorted( 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 = smaxabssorted;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json
new file mode 100644
index 000000000000..0ea03d060b9b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/stats/base/ndarray/smaxabs",
+  "version": "0.0.0",
+  "description": "Compute the maximum absolute value of 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",
+    "statistics",
+    "stats",
+    "sorted",
+    "mathematics",
+    "math",
+    "maximum",
+    "max",
+    "maxabs",
+    "absolute",
+    "absolute value",
+    "abs",
+    "range",
+    "extremes",
+    "domain",
+    "extent",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js
new file mode 100644
index 000000000000..fe6e82484abe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js
@@ -0,0 +1,173 @@
+/**
+* @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 isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var Float32Array = require( '@stdlib/array/float32' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var smaxabssorted = 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( 'float32', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof smaxabssorted, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( smaxabssorted.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function calculates the maximum absolute value of a sorted one-dimensional ndarray', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [ -4.0, -2.0, 0.0, 1.0, 3.0, 5.0 ] );
+	v = smaxabssorted( [ vector( x, 6, 1, 0 ) ] );
+	t.strictEqual( v, 5.0, 'returns expected value' );
+
+	x = new Float32Array( [ -4.0, -5.0 ] );
+	v = smaxabssorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( v, 5.0, 'returns expected value' );
+
+	x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
+	v = smaxabssorted( [ vector( x, 3, 1, 0 ) ] );
+	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN ] );
+	v = smaxabssorted( [ vector( x, 1, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	v = smaxabssorted( [ vector( x, 2, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an empty vector, the function returns `NaN`', function test( t ) {
+	var x;
+	var v;
+
+	x = new Float32Array( [] );
+
+	v = smaxabssorted( [ 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 = new Float32Array( [ 1.0 ] );
+
+	v = smaxabssorted( [ 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,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0
+	]);
+
+	v = smaxabssorted( [ vector( x, 4, 2, 0 ) ] );
+
+	t.strictEqual( v, 4.0, '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,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+
+	v = smaxabssorted( [ vector( x, 4, -2, 6 ) ] );
+
+	t.strictEqual( v, 4.0, '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,
+		2.0,  // 2
+		3.0,
+		4.0   // 3
+	]);
+
+	v = smaxabssorted( [ vector( x, 4, 2, 1 ) ] );
+	t.strictEqual( v, 4.0, 'returns expected value' );
+
+	t.end();
+});

From ef9de046e543a277ce0f0e477fb6143a67ae2102 Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Wed, 12 Nov 2025 01:29:16 +0530
Subject: [PATCH 2/5] minor lint errors fixed

---
 .../@stdlib/stats/base/ndarray/smaxabssorted/README.md        | 4 ++--
 .../@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt    | 4 ++--
 .../stats/base/ndarray/smaxabssorted/docs/types/index.d.ts    | 4 ++--
 .../@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js     | 4 ++--
 .../@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js      | 4 ++--
 .../@stdlib/stats/base/ndarray/smaxabssorted/package.json     | 4 ++--
 6 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
index 8714ff612b54..3c22ab6f3b0a 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
@@ -44,11 +44,11 @@ Computes the maximum absolute value of a sorted one-dimensional single-precision
 var Float32Array = require( '@stdlib/array/float32' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
-var xbuf = new Float32Array( [ -1.0, 3.0, -4.0, 2.0 ] );
+var xbuf = new Float32Array( [ -4.0, -1.0, 2.0, 3.0 ] );
 var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 
 var v = smaxabssorted( [ x ] );
-// returns 4.0
+// returns 4
 ```
 
 The function has the following parameters:
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt
index 5337208568cf..2600e39a8055 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Computes the maximum absolute value of a sorted one-dimensional single-precision
-    floating-point ndarray.
+    Computes the maximum absolute value of a sorted one-dimensional
+    single-precision floating-point ndarray.
 
     If provided an empty ndarray, the function returns `NaN`.
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
index 69c0e07b2fc3..0aeb39276fb7 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
@@ -32,11 +32,11 @@ import { float32ndarray } from '@stdlib/types/ndarray';
 * var Float32Array = require( '@stdlib/array/float32' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
-* var xbuf = new Float32Array( [ -1.0, 3.0, -4.0, 2.0 ] );
+* var xbuf = new Float32Array( [ -4.0, -1.0, 2.0, 3.0 ] );
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = smaxabssorted( [ x ] );
-* // returns 4.0
+* // returns 4
 */
 declare function smaxabssorted( arrays: [ float32ndarray ] ): number;
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
index 01b895358208..1e1846533fcf 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
@@ -28,11 +28,11 @@
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 * var smaxabssorted = require( '@stdlib/stats/base/ndarray/smaxabssorted' );
 *
-* var xbuf = new Float32Array( [ -1.0, 3.0, -4.0, 2.0 ] );
+* var xbuf = new Float32Array( [ -4.0, -1.0, 2.0, 3.0 ] );
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = smaxabssorted( [ x ] );
-* // returns 4.0
+* // returns 4
 */
 
 // MODULES //
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
index 886375c2b89c..f18653c2397b 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
@@ -39,11 +39,11 @@ var strided = require( '@stdlib/stats/strided/smaxabssorted' ).ndarray;
 * var Float32Array = require( '@stdlib/array/float32' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
-* var xbuf = new Float32Array( [ -1.0, 3.0, -4.0, 2.0 ] );
+* var xbuf = new Float32Array( [ -4.0, -1.0, 2.0, 3.0 ] );
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = smaxabssorted( [ x ] );
-* // returns 4.0
+* // returns 4
 */
 function smaxabssorted( arrays ) {
 	var x = arrays[ 0 ];
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json
index 0ea03d060b9b..d02a7c633971 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/package.json
@@ -1,7 +1,7 @@
 {
-  "name": "@stdlib/stats/base/ndarray/smaxabs",
+  "name": "@stdlib/stats/base/ndarray/smaxabssorted",
   "version": "0.0.0",
-  "description": "Compute the maximum absolute value of a one-dimensional single-precision floating-point ndarray.",
+  "description": "Compute the maximum absolute value of a sorted one-dimensional single-precision floating-point ndarray.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

From dc592037901652ee339698fba8832596684a508d Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Wed, 12 Nov 2025 01:33:43 +0530
Subject: [PATCH 3/5] fix: add decimal point back to return values in doctests

---
 .../@stdlib/stats/base/ndarray/smaxabssorted/README.md          | 2 +-
 .../stats/base/ndarray/smaxabssorted/docs/types/index.d.ts      | 2 +-
 .../@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js       | 2 +-
 .../@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js        | 2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
index 3c22ab6f3b0a..0e9cd81cea69 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
@@ -48,7 +48,7 @@ var xbuf = new Float32Array( [ -4.0, -1.0, 2.0, 3.0 ] );
 var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 
 var v = smaxabssorted( [ x ] );
-// returns 4
+// returns 4.0
 ```
 
 The function has the following parameters:
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
index 0aeb39276fb7..93114db11a20 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/docs/types/index.d.ts
@@ -36,7 +36,7 @@ import { float32ndarray } from '@stdlib/types/ndarray';
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = smaxabssorted( [ x ] );
-* // returns 4
+* // returns 4.0
 */
 declare function smaxabssorted( arrays: [ float32ndarray ] ): number;
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
index 1e1846533fcf..079bceaabc29 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/index.js
@@ -32,7 +32,7 @@
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = smaxabssorted( [ x ] );
-* // returns 4
+* // returns 4.0
 */
 
 // MODULES //
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
index f18653c2397b..0d02f8b4feda 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/lib/main.js
@@ -43,7 +43,7 @@ var strided = require( '@stdlib/stats/strided/smaxabssorted' ).ndarray;
 * var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
 * var v = smaxabssorted( [ x ] );
-* // returns 4
+* // returns 4.0
 */
 function smaxabssorted( arrays ) {
 	var x = arrays[ 0 ];

From 578914b37101997ca1cc87d1916cd357ca5b776e Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Thu, 13 Nov 2025 07:46:44 +0530
Subject: [PATCH 4/5] minor lintspace changes done

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
index 0e9cd81cea69..392944eae694 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/README.md
@@ -76,12 +76,12 @@ The function has the following parameters:
 <!-- 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 smaxabssorted = require( '@stdlib/stats/base/ndarray/smaxabssorted' );
 
-var xbuf = discreteUniform( 10, -50, 50, {
+var xbuf = linspace( -50, 50, 10, {
     'dtype': 'float32'
 });
 var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/benchmark/benchmark.js
index ea56c12be675..f9b04af2b809 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/benchmark/benchmark.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/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' );
@@ -49,7 +49,7 @@ function createBenchmark( len ) {
 	var xbuf;
 	var x;
 
-	xbuf = uniform( len, -10.0, 10.0, options );
+	xbuf = linspace( -len/2, len/2, len, options );
 	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
 
 	return benchmark;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js
index 6c568c4f9138..3ed8b215bf58 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/examples/index.js
@@ -18,12 +18,12 @@
 
 'use strict';
 
-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 smaxabssorted = require( './../lib' );
 
-var xbuf = discreteUniform( 10, -50, 50, {
+var xbuf = linspace( -50, 50, 10, {
 	'dtype': 'float32'
 });
 var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );

From e0d87a977519c1a30d3eea3a9a4e62a82e92e1f5 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Thu, 13 Nov 2025 00:50:49 -0800
Subject: [PATCH 5/5] test: use single-precision utilities

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js
index fe6e82484abe..5713d71a01e0 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smaxabssorted/test/test.js
@@ -21,8 +21,8 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var isPositiveZero = require( '@stdlib/math/base/assert/is-positive-zero' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
 var Float32Array = require( '@stdlib/array/float32' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var smaxabssorted = require( './../lib' );
@@ -72,15 +72,15 @@ tape( 'the function calculates the maximum absolute value of a sorted one-dimens
 
 	x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
 	v = smaxabssorted( [ vector( x, 3, 1, 0 ) ] );
-	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+	t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
 
 	x = new Float32Array( [ NaN ] );
 	v = smaxabssorted( [ 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 = smaxabssorted( [ vector( x, 2, 1, 0 ) ] );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
 
 	t.end();
 });
@@ -92,7 +92,7 @@ tape( 'if provided an empty vector, the function returns `NaN`', function test(
 	x = new Float32Array( [] );
 
 	v = smaxabssorted( [ vector( x, 0, 1, 0 ) ] );
-	t.strictEqual( isnan( v ), true, 'returns expected value' );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
 
 	t.end();
 });