From 0f9d9a466c3d18d2f96cf3f93b906e832cf6ccb0 Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Wed, 3 Dec 2025 19:15:29 +0530
Subject: [PATCH 01/12] feat/add-stats-base-ndarray-dnanmskmax

---
 .../stats/base/ndarray/dnanmskmax/README.md   | 119 +++++++++
 .../ndarray/dnanmskmax/benchmark/benchmark.js | 128 ++++++++++
 .../base/ndarray/dnanmskmax/docs/repl.txt     |  32 +++
 .../ndarray/dnanmskmax/docs/types/index.d.ts  |  46 ++++
 .../ndarray/dnanmskmax/docs/types/test.ts     |  57 +++++
 .../base/ndarray/dnanmskmax/examples/index.js |  40 +++
 .../base/ndarray/dnanmskmax/lib/index.js      |  45 ++++
 .../stats/base/ndarray/dnanmskmax/lib/main.js |  61 +++++
 .../base/ndarray/dnanmskmax/package.json      |  70 ++++++
 .../base/ndarray/dnanmskmax/test/test.js      | 232 ++++++++++++++++++
 10 files changed, 830 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
new file mode 100644
index 000000000000..7200ba3f3423
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
@@ -0,0 +1,119 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2025 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# dnanmskmax
+
+> Compute the maximum value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dnanmskmax = require( '@stdlib/stats/base/ndarray/dnanmskmax' );
+```
+
+#### dnanmskmax( arrays )
+
+Computes the maximum value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = dnanmskmax( [ x ] );
+// returns 2.0
+```
+
+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 uniform = require( '@stdlib/random/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dnanmskmax = require( '@stdlib/stats/base/ndarray/dnanmskmax' );
+
+function rand() {
+    if ( bernoulli( 0.8 ) < 1 ) {
+        return NaN;
+    }
+    return uniform( -50.0, 50.0 );
+}
+
+var xbuf = filledarrayBy( 10, 'float64', rand );
+var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = dnanmskmax( [ 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/dnanmskmax/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
new file mode 100644
index 000000000000..cba8cd2c3150
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
@@ -0,0 +1,128 @@
+/**
+* @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/base/uniform' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+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 dnanmskmax = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a random number.
+*
+* @private
+* @returns {number} random number or `NaN`
+*/
+function rand() {
+	if ( bernoulli( 0.2 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -10.0, 10.0 );
+}
+
+/**
+* Returns a random mask value.
+*
+* @private
+* @returns {number} 0 or 1
+*/
+function randMask() {
+	if ( bernoulli( 0.1 ) < 1 ) {
+		return 1;
+	}
+	return 0;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var mask;
+	var mbuf;
+	var xbuf;
+	var x;
+
+	xbuf = filledarrayBy( len, 'float64', rand );
+	x = new ndarray( 'float64', xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	mbuf = filledarrayBy( len, 'uint8', randMask );
+	mask = new ndarray( 'uint8', mbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	return benchmark;
+
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = dnanmskmax( [ x, mask ] );
+			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/dnanmskmax/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
new file mode 100644
index 000000000000..4eb2a12dd0ed
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( arrays )
+    Computes the maximum value of a double-precision floating-
+    point ndarray according to a mask, ignoring `NaN` values.
+
+    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 value.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
+    > var dt = 'float64';
+    > 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/dnanmskmax/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/index.d.ts
new file mode 100644
index 000000000000..d04d93e313b6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/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 { float64ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the maximum value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+*
+* @param arrays - array-like object containing an input ndarray
+* @returns maximum value
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnanmskmax( [ x ] );
+* // returns 2.0
+*/
+declare function dnanmskmax( arrays: [ float64ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = dnanmskmax;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/test.ts
new file mode 100644
index 000000000000..79412f7d3cc6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/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 dnanmskmax = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float64'
+	});
+
+	dnanmskmax( [ x ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	dnanmskmax( '10' ); // $ExpectError
+	dnanmskmax( 10 ); // $ExpectError
+	dnanmskmax( true ); // $ExpectError
+	dnanmskmax( false ); // $ExpectError
+	dnanmskmax( null ); // $ExpectError
+	dnanmskmax( undefined ); // $ExpectError
+	dnanmskmax( [] ); // $ExpectError
+	dnanmskmax( {} ); // $ExpectError
+	dnanmskmax( ( 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': 'float64'
+	});
+
+	dnanmskmax(); // $ExpectError
+	dnanmskmax( [ x ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
new file mode 100644
index 000000000000..ded9cbc60a9b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
@@ -0,0 +1,40 @@
+/**
+* @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/base/uniform' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var bernoulli = require( '@stdlib/random/base/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dnanmskmax = require( './../lib' );
+
+function rand() {
+	if ( bernoulli( 0.8 ) < 1 ) {
+		return NaN;
+	}
+	return uniform( -50.0, 50.0 );
+}
+
+var xbuf = filledarrayBy( 10, 'float64', rand );
+var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var v = dnanmskmax( [ x ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/index.js
new file mode 100644
index 000000000000..352f4452b94d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/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 value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+*
+* @module @stdlib/stats/base/ndarray/dnanmskmax
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var dnanmskmax = require( '@stdlib/stats/base/ndarray/dnanmskmax' );
+*
+* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnanmskmax( [ x ] );
+* // returns 2.0
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/main.js
new file mode 100644
index 000000000000..eb92ab710a2a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/main.js
@@ -0,0 +1,61 @@
+/**
+* @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/dnanmskmax' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the maximum value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray and a mask ndarray
+* @returns {number} maximum value
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
+* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = new Uint8Array( [ 0, 0, 0, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnanmskmax( [ x, mask ] );
+* // returns 2.0
+*/
+function dnanmskmax( arrays ) {
+	var mask = arrays[ 1 ];
+	var x = arrays[ 0 ];
+	return strided( numelDimension( x, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( mask ), getStride( mask, 0 ), getOffset( mask ) ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dnanmskmax;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/package.json
new file mode 100644
index 000000000000..376e175f0242
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/package.json
@@ -0,0 +1,70 @@
+{
+  "name": "@stdlib/stats/base/ndarray/dnanmskmax",
+  "version": "0.0.0",
+  "description": "Compute the maximum value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.",
+  "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",
+    "maximum",
+    "max",
+    "masked",
+    "mask",
+    "masked array",
+    "range",
+    "extremes",
+    "domain",
+    "extent",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js
new file mode 100644
index 000000000000..817016c94222
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js
@@ -0,0 +1,232 @@
+/**
+* @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 Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var dnanmskmax = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {string} dtype - data type
+* @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( dtype, buffer, length, stride, offset ) {
+	return new ndarray( dtype, buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dnanmskmax, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( dnanmskmax.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function calculates the maximum value of a one-dimensional ndarray according to a mask, ignoring `NaN` values', function test( t ) {
+	var mask;
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] );
+	mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 0 ] );
+	v = dnanmskmax( [ vector( 'float64', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( v, 5.0, 'returns expected value' );
+
+	x = new Float64Array( [ -4.0, NaN, -5.0 ] );
+	mask = new Uint8Array( [ 0, 0, 0 ] );
+	v = dnanmskmax( [ vector( 'float64', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( v, -4.0, 'returns expected value' );
+
+	x = new Float64Array( [-0.0, 0.0, NaN, -0.0 ] );
+	mask = new Uint8Array( [ 0, 0, 0, 0 ] );
+	v = dnanmskmax( [ vector( 'float64', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isPositiveZero( v ), true, 'returns expected value' );
+
+	x = new Float64Array( [ NaN ] );
+	mask = new Uint8Array( [ 0 ] );
+	v = dnanmskmax( [ vector( 'float64', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+	x = new Float64Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 0, 0 ] );
+	v = dnanmskmax( [ vector( 'float64', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 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 mask;
+	var x;
+	var v;
+
+	x = new Float64Array( [] );
+	mask = new Uint8Array( [] );
+
+	v = dnanmskmax( [ vector( 'float64', x, 0, 1, 0 ), vector( 'uint8', mask, 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 mask;
+	var x;
+	var v;
+
+	x = new Float64Array( [ 1.0 ] );
+	mask = new Uint8Array( [ 0 ] );
+
+	v = dnanmskmax( [ vector( 'float64', x, 1, 1, 0 ), vector( 'uint8', mask, 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 mask;
+	var x;
+	var v;
+
+	x = new Float64Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0,
+		NaN,  // 4
+		NaN
+	]);
+	mask = new Uint8Array([
+		0,  // 0
+		0,
+		0,  // 1
+		0,
+		0,  // 2
+		0,
+		0,  // 3
+		0,
+		0,  // 4
+		0
+	]);
+
+	v = dnanmskmax( [ vector( 'float64', x, 5, 2, 0 ), vector( 'uint8', mask, 5, 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 mask;
+	var x;
+	var v;
+
+	x = new Float64Array([
+		NaN,  // 4
+		NaN,
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+	mask = new Uint8Array([
+		0,  // 4
+		0,
+		0,  // 3
+		0,
+		0,  // 2
+		0,
+		0,  // 1
+		0,
+		0,  // 0
+		0
+	]);
+
+	v = dnanmskmax( [ vector( 'float64', x, 5, -2, 8 ), vector( 'uint8', mask, 5, -2, 8 ) ] );
+
+	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 mask;
+	var x;
+	var v;
+
+	x = new Float64Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0,  // 3
+		6.0,
+		NaN,  // 4
+		NaN
+	]);
+	mask = new Uint8Array([
+		0,
+		0,  // 0
+		0,
+		0,  // 1
+		0,
+		0,  // 2
+		0,
+		0,  // 3
+		0,
+		0,  // 4
+		0
+	]);
+
+	v = dnanmskmax( [ vector( 'float64', x, 5, 2, 1 ), vector( 'uint8', mask, 5, 2, 1 ) ] );
+	t.strictEqual( v, 4.0, 'returns expected value' );
+
+	t.end();
+});

From 2894544a610248363df83cdd3d825c519b29af89 Mon Sep 17 00:00:00 2001
From: iampratik13 <bhagwatpratik781@gmail.com>
Date: Wed, 3 Dec 2025 19:39:26 +0530
Subject: [PATCH 02/12] fix: minor lint error

---
 .../stats/base/ndarray/dnanmskmax/README.md   | 23 +++++++++++++++----
 .../base/ndarray/dnanmskmax/docs/repl.txt     |  9 +++++---
 .../ndarray/dnanmskmax/docs/types/index.d.ts  | 12 ++++++----
 .../ndarray/dnanmskmax/docs/types/test.ts     | 10 ++++++--
 .../base/ndarray/dnanmskmax/examples/index.js | 15 ++++++++++--
 .../base/ndarray/dnanmskmax/lib/index.js      |  6 ++++-
 6 files changed, 59 insertions(+), 16 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
index 7200ba3f3423..1ea4ff3e347b 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
@@ -42,18 +42,22 @@ Computes the maximum value of a double-precision floating-point ndarray accordin
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 
 var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 
-var v = dnanmskmax( [ x ] );
+var maskbuf = new Uint8Array( [ 0, 0, 0, 0 ] );
+var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = dnanmskmax( [ x, mask ] );
 // returns 2.0
 ```
 
 The function has the following parameters:
 
--   **arrays**: array-like object containing a one-dimensional input ndarray.
+-   **arrays**: array-like object containing a one-dimensional input ndarray and a one-dimensional mask ndarray.
 
 </section>
 
@@ -84,17 +88,28 @@ var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dnanmskmax = require( '@stdlib/stats/base/ndarray/dnanmskmax' );
 
 function rand() {
-    if ( bernoulli( 0.8 ) < 1 ) {
+    if ( bernoulli( 0.2 ) < 1 ) {
         return NaN;
     }
     return uniform( -50.0, 50.0 );
 }
 
+function randMask() {
+    if ( bernoulli( 0.1 ) < 1 ) {
+        return 1;
+    }
+    return 0;
+}
+
 var xbuf = filledarrayBy( 10, 'float64', rand );
 var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
 
-var v = dnanmskmax( [ x ] );
+var maskbuf = filledarrayBy( xbuf.length, 'uint8', randMask );
+var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( mask ) );
+
+var v = dnanmskmax( [ x, mask ] );
 console.log( v );
 ```
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
index 4eb2a12dd0ed..7fc7a4c4f05f 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
@@ -8,7 +8,8 @@
     Parameters
     ----------
     arrays: ArrayLikeObject<ndarray>
-        Array-like object containing a one-dimensional input ndarray.
+        Array-like object containing a one-dimensional input ndarray and a
+        one-dimensional mask ndarray.
 
     Returns
     -------
@@ -17,14 +18,16 @@
 
     Examples
     --------
-    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 2.0 ] );
+    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, NaN, 2.0 ] );
     > var dt = 'float64';
     > 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 ] )
+    > var mbuf = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 0, 0 ] );
+    > var mask = new {{alias:@stdlib/ndarray/ctor}}( 'uint8', mbuf, sh, sx, ox, ord );
+    > {{alias}}( [ x, mask ] )
     2.0
 
     See Also
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/index.d.ts
index d04d93e313b6..8a11e9df83fe 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/index.d.ts
@@ -20,25 +20,29 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { float64ndarray } from '@stdlib/types/ndarray';
+import { float64ndarray, uint8ndarray } from '@stdlib/types/ndarray';
 
 /**
 * Computes the maximum value of a double-precision floating-point ndarray according to a mask, ignoring `NaN` values.
 *
-* @param arrays - array-like object containing an input ndarray
+* @param arrays - array-like object containing an input ndarray and a mask ndarray
 * @returns maximum value
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 *
 * var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
-* var v = dnanmskmax( [ x ] );
+* var mbuf = new Uint8Array( [ 0, 0, 0, 0 ] );
+* var mask = new ndarray( 'uint8', mbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnanmskmax( [ x, mask ] );
 * // returns 2.0
 */
-declare function dnanmskmax( arrays: [ float64ndarray ] ): number;
+declare function dnanmskmax( arrays: [ float64ndarray, uint8ndarray ] ): number;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/test.ts
index 79412f7d3cc6..4784704a3686 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/types/test.ts
@@ -29,8 +29,11 @@ import dnanmskmax = require( './index' );
 	const x = zeros( [ 10 ], {
 		'dtype': 'float64'
 	});
+	const mask = zeros( [ 10 ], {
+		'dtype': 'uint8'
+	});
 
-	dnanmskmax( [ x ] ); // $ExpectType number
+	dnanmskmax( [ x, mask ] ); // $ExpectType number
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
@@ -51,7 +54,10 @@ import dnanmskmax = require( './index' );
 	const x = zeros( [ 10 ], {
 		'dtype': 'float64'
 	});
+	const mask = zeros( [ 10 ], {
+		'dtype': 'uint8'
+	});
 
 	dnanmskmax(); // $ExpectError
-	dnanmskmax( [ x ], {} ); // $ExpectError
+	dnanmskmax( [ x, mask ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
index ded9cbc60a9b..6e470265c2b3 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
@@ -26,15 +26,26 @@ var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dnanmskmax = require( './../lib' );
 
 function rand() {
-	if ( bernoulli( 0.8 ) < 1 ) {
+	if ( bernoulli( 0.2 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -50.0, 50.0 );
 }
 
+function randMask() {
+	if ( bernoulli( 0.1 ) < 1 ) {
+		return 1;
+	}
+	return 0;
+}
+
 var xbuf = filledarrayBy( 10, 'float64', rand );
 var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( x ) );
 
-var v = dnanmskmax( [ x ] );
+var maskbuf = filledarrayBy( xbuf.length, 'uint8', randMask );
+var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( mask ) );
+
+var v = dnanmskmax( [ x, mask ] );
 console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/index.js
index 352f4452b94d..7b6883c225cc 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/lib/index.js
@@ -25,13 +25,17 @@
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
 * var ndarray = require( '@stdlib/ndarray/base/ctor' );
 * var dnanmskmax = require( '@stdlib/stats/base/ndarray/dnanmskmax' );
 *
 * var xbuf = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 *
-* var v = dnanmskmax( [ x ] );
+* var maskbuf = new Uint8Array( [ 0, 0, 0, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = dnanmskmax( [ x, mask ] );
 * // returns 2.0
 */
 

From 2c3a9c70a88262153869809a002e97b130625f86 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:40:41 -0800
Subject: [PATCH 03/12] docs: update copy

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/stats/base/ndarray/dnanmskmax/README.md            | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
index 1ea4ff3e347b..67042fcaad3d 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
@@ -59,6 +59,9 @@ The function has the following parameters:
 
 -   **arrays**: array-like object containing a one-dimensional input ndarray and a one-dimensional mask ndarray.
 
+If a `mask` array element is `0`, the corresponding element in the input ndarray is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in the input ndarray is considered invalid/missing and **excluded** from computation.
+
+
 </section>
 
 <!-- /.usage -->

From 2413aa418bef5b1b0355ec00afce06c4242ed869 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:41:24 -0800
Subject: [PATCH 04/12] docs: update note

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
index 67042fcaad3d..c03ee8416e4b 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
@@ -70,7 +70,7 @@ If a `mask` array element is `0`, the corresponding element in the input ndarray
 
 ## Notes
 
--   If provided an empty one-dimensional ndarray, the function returns `NaN`.
+-   If provided an empty one-dimensional ndarray or a mask with all elements set to `1`, the function returns `NaN`.
 
 </section>
 

From 014e1099019697c4fd9812f94dc4efec507ed4da Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:42:25 -0800
Subject: [PATCH 05/12] docs: make note consistent with `dmskmin`

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
index c03ee8416e4b..cd5404622749 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
@@ -70,7 +70,7 @@ If a `mask` array element is `0`, the corresponding element in the input ndarray
 
 ## Notes
 
--   If provided an empty one-dimensional ndarray or a mask with all elements set to `1`, the function returns `NaN`.
+-   If provided an empty ndarray or a mask with all elements set to `1`, the function returns `NaN`.
 
 </section>
 

From ca6c8525c813145c6ae1be8d54c22a27428f597d Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:43:44 -0800
Subject: [PATCH 06/12] docs: update desc

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
index cba8cd2c3150..abf6b708be1d 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
@@ -50,7 +50,7 @@ function rand() {
 * Returns a random mask value.
 *
 * @private
-* @returns {number} 0 or 1
+* @returns {number} random mask value
 */
 function randMask() {
 	if ( bernoulli( 0.1 ) < 1 ) {

From 3207f8657202554d9dcffb4c4f859d2cdc6c12a7 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:46:12 -0800
Subject: [PATCH 07/12] bench: simplify array creation

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../ndarray/dnanmskmax/benchmark/benchmark.js | 47 ++++++-------------
 1 file changed, 15 insertions(+), 32 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
index abf6b708be1d..d800ac7c9932 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/benchmark/benchmark.js
@@ -21,9 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var bernoulli = require( '@stdlib/random/base/bernoulli' );
-var filledarrayBy = require( '@stdlib/array/filled-by' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
@@ -31,33 +30,17 @@ var pkg = require( './../package.json' ).name;
 var dnanmskmax = require( './../lib' );
 
 
-// FUNCTIONS //
+// VARIABLES //
 
-/**
-* Returns a random number.
-*
-* @private
-* @returns {number} random number or `NaN`
-*/
-function rand() {
-	if ( bernoulli( 0.2 ) < 1 ) {
-		return NaN;
-	}
-	return uniform( -10.0, 10.0 );
-}
+var options = {
+	'dtype': 'float64'
+};
+var moptions = {
+	'dtype': 'uint8'
+};
 
-/**
-* Returns a random mask value.
-*
-* @private
-* @returns {number} random mask value
-*/
-function randMask() {
-	if ( bernoulli( 0.1 ) < 1 ) {
-		return 1;
-	}
-	return 0;
-}
+
+// FUNCTIONS //
 
 /**
 * Creates a benchmark function.
@@ -72,11 +55,11 @@ function createBenchmark( len ) {
 	var xbuf;
 	var x;
 
-	xbuf = filledarrayBy( len, 'float64', rand );
-	x = new ndarray( 'float64', xbuf, [ len ], [ 1 ], 0, 'row-major' );
+	xbuf = uniform( len, -100.0, 100.0, options );
+	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
 
-	mbuf = filledarrayBy( len, 'uint8', randMask );
-	mask = new ndarray( 'uint8', mbuf, [ len ], [ 1 ], 0, 'row-major' );
+	mbuf = bernoulli( len, 0.2, moptions );
+	mask = new ndarray( moptions.dtype, mbuf, [ len ], [ 1 ], 0, 'row-major' );
 
 	return benchmark;
 

From 3b84330c193f24a2e8eedfc31a2c2cff9bc4ecc5 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:47:20 -0800
Subject: [PATCH 08/12] docs: fix line wrapping

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt       | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
index 7fc7a4c4f05f..9a48f55b91c1 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Computes the maximum value of a double-precision floating-
-    point ndarray according to a mask, ignoring `NaN` values.
+    Computes the maximum value of a double-precision floating-point ndarray
+    according to a mask, ignoring `NaN` values.
 
     If provided an empty ndarray, the function returns `NaN`.
 

From d95592b955c0424d1f24d2c7e3e9d2bb2705260c Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:48:09 -0800
Subject: [PATCH 09/12] docs: update copy

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt     | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
index 9a48f55b91c1..5eaf9296a547 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/docs/repl.txt
@@ -3,13 +3,13 @@
     Computes the maximum value of a double-precision floating-point ndarray
     according to a mask, ignoring `NaN` values.
 
-    If provided an empty ndarray, the function returns `NaN`.
+    If provided an empty ndarray or a mask with all elements set to `1`, the
+    function returns `NaN`.
 
     Parameters
     ----------
     arrays: ArrayLikeObject<ndarray>
-        Array-like object containing a one-dimensional input ndarray and a
-        one-dimensional mask ndarray.
+        Array-like object containing an input ndarray and a mask ndarray.
 
     Returns
     -------

From f57b36837cdbb372c1dafb1fe5f755e3993e1254 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:50:42 -0800
Subject: [PATCH 10/12] docs: update example

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
index cd5404622749..e11c2c547049 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/README.md
@@ -91,7 +91,7 @@ var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dnanmskmax = require( '@stdlib/stats/base/ndarray/dnanmskmax' );
 
 function rand() {
-    if ( bernoulli( 0.2 ) < 1 ) {
+    if ( bernoulli( 0.8 ) < 1 ) {
         return NaN;
     }
     return uniform( -50.0, 50.0 );

From 4c2fe2481151e4a52b1399c10fc8f015051ae22d Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:51:25 -0800
Subject: [PATCH 11/12] docs: update example

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
index 6e470265c2b3..a906c8f016ea 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/examples/index.js
@@ -26,7 +26,7 @@ var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dnanmskmax = require( './../lib' );
 
 function rand() {
-	if ( bernoulli( 0.2 ) < 1 ) {
+	if ( bernoulli( 0.8 ) < 1 ) {
 		return NaN;
 	}
 	return uniform( -50.0, 50.0 );

From e428a6add5674e618b4ac5b56276f4e40d0381f8 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 20:53:37 -0800
Subject: [PATCH 12/12] test: actually test that elements are masked

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/stats/base/ndarray/dnanmskmax/test/test.js        | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js
index 817016c94222..57997268f4bc 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/dnanmskmax/test/test.js
@@ -66,9 +66,9 @@ tape( 'the function calculates the maximum value of a one-dimensional ndarray ac
 	var v;
 
 	x = new Float64Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] );
-	mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 0 ] );
+	mask = new Uint8Array( [ 0, 0, 0, 0, 1, 0, 0 ] );
 	v = dnanmskmax( [ vector( 'float64', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
-	t.strictEqual( v, 5.0, 'returns expected value' );
+	t.strictEqual( v, 3.0, 'returns expected value' );
 
 	x = new Float64Array( [ -4.0, NaN, -5.0 ] );
 	mask = new Uint8Array( [ 0, 0, 0 ] );