From 837387075ebdf2e29559699f17020e07a2314d13 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 4 Dec 2025 22:19:01 +0530
Subject: [PATCH 1/5] feat: add stats/base/ndarray/snanmskrange

---
 .../stats/base/ndarray/snanmskrange/README.md | 129 +++++++++
 .../snanmskrange/benchmark/benchmark.js       | 109 ++++++++
 .../base/ndarray/snanmskrange/docs/repl.txt   |  35 +++
 .../snanmskrange/docs/types/index.d.ts        |  50 ++++
 .../ndarray/snanmskrange/docs/types/test.ts   |  63 +++++
 .../ndarray/snanmskrange/examples/index.js    |  40 +++
 .../base/ndarray/snanmskrange/lib/index.js    |  47 ++++
 .../base/ndarray/snanmskrange/lib/main.js     |  59 ++++
 .../base/ndarray/snanmskrange/package.json    |  66 +++++
 .../base/ndarray/snanmskrange/test/test.js    | 255 ++++++++++++++++++
 10 files changed, 853 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/README.md
new file mode 100644
index 000000000000..1f561ff5a9b6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/README.md
@@ -0,0 +1,129 @@
+<!--
+
+@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.
+
+-->
+
+# snanmskrange
+
+> Calculate the [range][range] of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+
+<section class="intro">
+
+The [**range**][range] is defined as the difference between the maximum and minimum values.
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange' );
+```
+
+#### snanmskrange( arrays )
+
+Computes the [range][range] of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var xbuf = new Float32Array( [ 1.0, -2.0, 4.0, 2.0, NaN ] );
+var x = new ndarray( 'float32', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+
+var maskbuf = new Uint8Array( [ 0, 0, 1, 0, 0 ] );
+var mask = new ndarray( 'uint8', maskbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+
+var v = snanmskrange( [ x, mask ] );
+// returns 4.0
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing an input ndarray and a 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 -->
+
+<section class="notes">
+
+## Notes
+
+-   If provided an empty ndarray or a mask with all elements set to `1`, the function returns `NaN`.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange' );
+
+var xbuf = uniform( 10, -50.0, 50.0, {
+    'dtype': 'float32'
+});
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var maskbuf = bernoulli( xbuf.length, 0.2, {
+    'dtype': 'uint8'
+});
+var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( mask ) );
+
+var v = snanmskrange( [ x, mask ] );
+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">
+
+[range]: https://en.wikipedia.org/wiki/Range_%28statistics%29
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js
new file mode 100644
index 000000000000..b5bedc1ed7ee
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js
@@ -0,0 +1,109 @@
+/**
+* @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 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' );
+var pkg = require( '@stdlib/stats/base/ndarray/snanmskrange/package.json' ).name;
+var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange/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 mask;
+	var mbuf;
+	var xbuf;
+	var x;
+
+	xbuf = uniform( len, -100.0, 100.0, options );
+	x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	mbuf = bernoulli( len, 0.2, options );
+	mask = new ndarray( options.dtype, mbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	return benchmark;
+
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			xbuf[ i%len ] = i;
+			v = snanmskrange( [ 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/snanmskrange/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/repl.txt
new file mode 100644
index 000000000000..4b3b24060f3b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/repl.txt
@@ -0,0 +1,35 @@
+
+{{alias}}( arrays )
+    Calculates the range of a one-dimensional single-precision floating-point
+    ndarray according to a mask, ignoring `NaN` values.
+
+    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 an input ndarray and a mask ndarray.
+
+    Returns
+    -------
+    out: number
+        Range.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 4.0, 2.0, NaN ] );
+    > 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 );
+    > var maskbuf = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 1, 0, 0 ] );
+    > var mask = new {{alias:@stdlib/ndarray/ctor}}( 'uint8', maskbuf, sh, sx, ox, ord );
+    > {{alias}}( [ x, mask ] )
+    4.0
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/index.d.ts
new file mode 100644
index 000000000000..6e1bbecf38ac
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/index.d.ts
@@ -0,0 +1,50 @@
+/*
+* @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, uint8ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Calculates the range of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+*
+* @param arrays - array-like object containing an input ndarray and a mask ndarray
+* @returns range
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = new Float32Array( [ 1.0, -2.0, 4.0, 2.0, NaN ] );
+* var x = new ndarray( 'float32', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = new Uint8Array( [ 0, 0, 1, 0, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var v = snanmskrange( [ x, mask ] );
+* // returns 4.0
+*/
+declare function snanmskrange( arrays: [ float32ndarray, uint8ndarray ] ): number;
+
+
+// EXPORTS //
+
+export = snanmskrange;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/test.ts
new file mode 100644
index 000000000000..1f35026b02a1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/docs/types/test.ts
@@ -0,0 +1,63 @@
+/*
+* @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 snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const mask = zeros( [ 10 ], {
+		'dtype': 'uint8'
+	});
+
+	snanmskrange( [ x, mask ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	snanmskrange( '10' ); // $ExpectError
+	snanmskrange( 10 ); // $ExpectError
+	snanmskrange( true ); // $ExpectError
+	snanmskrange( false ); // $ExpectError
+	snanmskrange( null ); // $ExpectError
+	snanmskrange( undefined ); // $ExpectError
+	snanmskrange( [] ); // $ExpectError
+	snanmskrange( {} ); // $ExpectError
+	snanmskrange( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const mask = zeros( [ 10 ], {
+		'dtype': 'uint8'
+	});
+
+	snanmskrange(); // $ExpectError
+	snanmskrange( [ x, mask ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/examples/index.js
new file mode 100644
index 000000000000..d02446945837
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/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/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange/lib' );
+
+var xbuf = uniform( 10, -50.0, 50.0, {
+	'dtype': 'float32'
+});
+var x = new ndarray( 'float32', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( x ) );
+
+var maskbuf = bernoulli( xbuf.length, 0.2, {
+	'dtype': 'uint8'
+});
+var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
+console.log( ndarray2array( mask ) );
+
+var v = snanmskrange( [ x, mask ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js
new file mode 100644
index 000000000000..22b5b1d8c165
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js
@@ -0,0 +1,47 @@
+/**
+* @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 range of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+*
+* @module @stdlib/stats/base/ndarray/snanmskrange
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange' );
+*
+* var xbuf = [ 1.0, -2.0, 4.0, 2.0, NaN ];
+* var x = new ndarray( 'float32', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = [ 0, 0, 1, 0, 0 ];
+* var mask = new ndarray( 'uint8', maskbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var v = snanmskrange( [ x, mask ] );
+* // returns 4.0
+*/
+
+// MODULES //
+
+var main = require( '@stdlib/stats/base/ndarray/snanmskrange/lib/main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/main.js
new file mode 100644
index 000000000000..74158c04a3be
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/main.js
@@ -0,0 +1,59 @@
+/**
+* @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/snanmskrange' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the range of a one-dimensional single-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} range
+*
+* @example
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var xbuf = [ 1.0, -2.0, 4.0, 2.0, NaN ];
+* var x = new ndarray( 'float32', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = [ 0, 0, 1, 0, 0 ];
+* var mask = new ndarray( 'uint8', maskbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var v = snanmskrange( [ x, mask ] );
+* // returns 4.0
+*/
+function snanmskrange( 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 = snanmskrange;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/package.json
new file mode 100644
index 000000000000..e9b15b87cfec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/package.json
@@ -0,0 +1,66 @@
+{
+  "name": "@stdlib/stats/base/ndarray/snanmskrange",
+  "version": "0.0.0",
+  "description": "Calculate the range of a one-dimensional single-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",
+    "range",
+    "single-precision",
+    "masked",
+    "mask",
+    "nan",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js
new file mode 100644
index 000000000000..1476efe15bd7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js
@@ -0,0 +1,255 @@
+/**
+* @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 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 Uint8Array = require( '@stdlib/array/uint8' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange/lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {string} dtype - data type
+* @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, dtype, 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 snanmskrange, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( snanmskrange.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function calculates the range value of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring NaN values', function test( t ) {
+	var mask;
+	var x;
+	var v;
+
+	x = new Float32Array( [ 1.0, -2.0, -4.0, NaN, 5.0, 0.0, 3.0 ] );
+	mask = new Uint8Array( [ 0, 0, 0, 1, 0, 0, 0 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( v, 9.0, 'returns expected value' );
+
+	x = new Float32Array( [ -4.0, NaN, -5.0 ] );
+	mask = new Uint8Array( [ 0, 1, 0 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( v, 1.0, 'returns expected value' );
+
+	x = new Float32Array( [ -0.0, 0.0, NaN, -0.0 ] );
+	mask = new Uint8Array( [ 0, 0, 1, 0 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ -4.0, 0.0, NaN, 5.0 ] );
+	mask = new Uint8Array( [ 0, 0, 0, 0 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( v, 9.0, 'returns expected value' );
+
+	x = new Float32Array( [ NaN ] );
+	mask = new Uint8Array( [ 0 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN ] );
+	mask = new Uint8Array( [ 1 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 1, 1 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 1, 0 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 0, 1 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 0, 0 ] );
+	v = snanmskrange( [ vector( x, 'float32', x.length, 1, 0 ), vector( mask, 'uint8', mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( 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 Float32Array( [] );
+	mask = new Uint8Array( [] );
+
+	v = snanmskrange( [ vector( x, 'float32', 0, 1, 0 ), vector( mask, 'uint8', 0, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided an ndarray containing a single element, the function returns zero', function test( t ) {
+	var mask;
+	var x;
+	var v;
+
+	x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+	mask = new Uint8Array( [ 0, 0, 0, 0, 0 ] );
+
+	v = snanmskrange( [ vector( x, 'float32', 1, 1, 0 ), vector( mask, 'uint8', 1, 1, 0 ) ] );
+	t.strictEqual( v, 0.0, '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 Float32Array([
+		1.0,  // 0
+		2.0,
+		2.0,  // 1
+		-7.0,
+		-2.0, // 2
+		3.0,
+		4.0,  // 3
+		2.0,
+		5.0,  // 4
+		6.0
+	]);
+	mask = new Uint8Array([
+		0, // 0
+		0,
+		0, // 1
+		0,
+		0, // 2
+		0,
+		0, // 3
+		0,
+		1, // 4
+		1
+	]);
+
+	v = snanmskrange( [ vector( x, 'float32', 5, 2, 0 ), vector( mask, 'uint8', 5, 2, 0 ) ] );
+
+	t.strictEqual( v, 6.0, '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 Float32Array([
+		5.0,  // 4
+		6.0,
+		1.0,  // 3
+		2.0,
+		2.0,  // 2
+		-7.0,
+		-2.0, // 1
+		3.0,
+		4.0,  // 0
+		2.0
+	]);
+	mask = new Uint8Array([
+		1, // 4
+		1,
+		0, // 3
+		0,
+		0, // 2
+		0,
+		0, // 1
+		0,
+		0, // 0
+		0
+	]);
+
+	v = snanmskrange( [ vector( x, 'float32', 5, -2, 8 ), vector( mask, 'uint8', 5, -2, 8 ) ] );
+
+	t.strictEqual( v, 6.0, '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 Float32Array([
+		2.0,
+		1.0,  // 0
+		2.0,
+		-2.0, // 1
+		-2.0,
+		2.0,  // 2
+		3.0,
+		4.0,  // 3
+		5.0,
+		6.0   // 4
+	]);
+	mask = new Uint8Array([
+		0,
+		0, // 0
+		0,
+		0, // 1
+		0,
+		0, // 2
+		0,
+		0, // 3
+		1,
+		1  // 4
+	]);
+
+	v = snanmskrange( [ vector( x, 'float32', 5, 2, 1 ), vector( mask, 'uint8', 5, 2, 1 ) ] );
+	t.strictEqual( v, 6.0, 'returns expected value' );
+
+	t.end();
+});

From abfb3d5518dd1c36f7ee5fea320a0274a1ff17a3 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 4 Dec 2025 22:24:08 +0530
Subject: [PATCH 2/5] added root directory

---
 .../@stdlib/stats/base/ndarray/snanmskrange/lib/index.js        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js
index 22b5b1d8c165..3b7718849c4e 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/lib/index.js
@@ -39,7 +39,7 @@
 
 // MODULES //
 
-var main = require( '@stdlib/stats/base/ndarray/snanmskrange/lib/main.js' );
+var main = require( './main.js' );
 
 
 // EXPORTS //

From 730e61a9e27a942a42c22cfb6c94cadd6c129810 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 4 Dec 2025 22:27:27 +0530
Subject: [PATCH 3/5] Lint

---
 .../@stdlib/stats/base/ndarray/snanmskrange/examples/index.js   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/examples/index.js
index d02446945837..691e6cd42489 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/examples/index.js
@@ -22,7 +22,7 @@ var uniform = require( '@stdlib/random/array/uniform' );
 var bernoulli = require( '@stdlib/random/array/bernoulli' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
-var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange/lib' );
+var snanmskrange = require( './../lib' );
 
 var xbuf = uniform( 10, -50.0, 50.0, {
 	'dtype': 'float32'

From 4033d29dfe4b1b38e898cf571309a441cfc9c698 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 4 Dec 2025 22:31:08 +0530
Subject: [PATCH 4/5] Lint2

---
 .../@stdlib/stats/base/ndarray/snanmskrange/test/test.js        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js
index 1476efe15bd7..5dafa896d3e1 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/test/test.js
@@ -26,7 +26,7 @@ var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
 var Float32Array = require( '@stdlib/array/float32' );
 var Uint8Array = require( '@stdlib/array/uint8' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
-var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange/lib' );
+var snanmskrange = require( './../lib' );
 
 
 // FUNCTIONS //

From fca08f10cbe4c6732c001c3d9170c25b449edffe Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Thu, 4 Dec 2025 22:35:26 +0530
Subject: [PATCH 5/5] Lint

---
 .../stats/base/ndarray/snanmskrange/benchmark/benchmark.js    | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js
index b5bedc1ed7ee..1090c1b451c8 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskrange/benchmark/benchmark.js
@@ -26,8 +26,8 @@ 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' );
-var pkg = require( '@stdlib/stats/base/ndarray/snanmskrange/package.json' ).name;
-var snanmskrange = require( '@stdlib/stats/base/ndarray/snanmskrange/lib' );
+var pkg = require( './../package.json' ).name;
+var snanmskrange = require( './../lib' );
 
 
 // VARIABLES //