From 359495f4a88243c2bd5c426d015104b670a1c23e Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Tue, 2 Dec 2025 12:19:12 +0530
Subject: [PATCH 1/7] feat: add stats/base/ndarray/smskmin

---
 .../stats/base/ndarray/smskmin/README.md      | 127 +++++++++
 .../ndarray/smskmin/benchmark/benchmark.js    | 112 ++++++++
 .../stats/base/ndarray/smskmin/docs/repl.txt  |  35 +++
 .../ndarray/smskmin/docs/types/index.d.ts     |  50 ++++
 .../base/ndarray/smskmin/docs/types/test.ts   |  63 +++++
 .../base/ndarray/smskmin/examples/index.js    |  42 +++
 .../stats/base/ndarray/smskmin/lib/index.js   |  49 ++++
 .../stats/base/ndarray/smskmin/lib/main.js    |  61 +++++
 .../stats/base/ndarray/smskmin/package.json   |  67 +++++
 .../stats/base/ndarray/smskmin/test/test.js   | 253 ++++++++++++++++++
 10 files changed, 859 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/README.md
new file mode 100644
index 000000000000..557fa9e24450
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/README.md
@@ -0,0 +1,127 @@
+<!--
+
+@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.
+
+-->
+
+# smskmin
+
+> Calculate the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var smskmin = require( '@stdlib/stats/base/ndarray/smskmin' );
+```
+
+#### smskmin( arrays )
+
+Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+
+```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 ] );
+var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var maskbuf = new Uint8Array( [ 0, 0, 1, 0 ] );
+var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+
+var v = smskmin( [ x, mask ] );
+// returns -2.0
+```
+
+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 Float32Array = require( '@stdlib/array/float32' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+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 smskmin = require( '@stdlib/stats/base/ndarray/smskmin' );
+
+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 = smskmin( [ 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">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/benchmark/benchmark.js
new file mode 100644
index 000000000000..8a6f86d8561f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/benchmark/benchmark.js
@@ -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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var pkg = require( './../package.json' ).name;
+var smskmin = require( './../lib' );
+
+
+// VARIABLES //
+
+var xoptions = {
+	'dtype': 'float32'
+};
+var moptions = {
+	'dtype': 'uint8'
+};
+
+
+// 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, xoptions );
+	x = new ndarray( xoptions.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
+
+	mbuf = bernoulli( len, 0.2, moptions );
+	mask = new ndarray( moptions.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 = smskmin( [ x, mask ] );
+			if ( isnanf( v ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnanf( 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/smskmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
new file mode 100644
index 000000000000..fc144546f60a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
@@ -0,0 +1,35 @@
+
+{{alias}}( arrays )
+    Computes the minimum value of a one-dimensional single-precision
+    floating-point ndarray according to a mask.
+
+    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
+        Minimum value.
+
+    Examples
+    --------
+    > var xbuf = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 4.0, 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 );
+    > var mbuf = new {{alias:@stdlib/array/uint8}}( [ 0, 0, 1, 0 ] );
+    > var mdt = 'uint8';
+    > var mask = new {{alias:@stdlib/ndarray/ctor}}( mdt, mbuf, sh, sx, ox, ord );
+    > {{alias}}( [ x, mask ] )
+    -2.0
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/index.d.ts
new file mode 100644
index 000000000000..cd50efe47589
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/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 { ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+*
+* @param arrays - array-like object containing an input ndarray and a mask ndarray
+* @returns minimum value
+*
+* @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 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = new Uint8Array( [ 0, 0, 1, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smskmin( [ x, mask ] );
+* // returns -2.0
+*/
+declare function smskmin<T extends ndarray = ndarray>( arrays: [ T, T ] ): number;
+
+
+// EXPORTS //
+
+export = smskmin;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/types/test.ts
new file mode 100644
index 000000000000..364f31a67422
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/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 smskmin = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const mask = zeros( [ 10 ], {
+		'dtype': 'uint8'
+	});
+
+	smskmin( [ x, mask ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	smskmin( '10' ); // $ExpectError
+	smskmin( 10 ); // $ExpectError
+	smskmin( true ); // $ExpectError
+	smskmin( false ); // $ExpectError
+	smskmin( null ); // $ExpectError
+	smskmin( undefined ); // $ExpectError
+	smskmin( [] ); // $ExpectError
+	smskmin( {} ); // $ExpectError
+	smskmin( ( 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'
+	});
+
+	smskmin(); // $ExpectError
+	smskmin( [ x, mask ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
new file mode 100644
index 000000000000..fbfe821ae00b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var Float32Array = require( '@stdlib/array/float32' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+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 smskmin = require( './../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 = smskmin( [ x, mask ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/index.js
new file mode 100644
index 000000000000..0879fc5f737e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/index.js
@@ -0,0 +1,49 @@
+/**
+* @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';
+
+/**
+* Calculate the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+*
+* @module @stdlib/stats/base/ndarray/smskmin
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var smskmin = require( '@stdlib/stats/base/ndarray/smskmin' );
+*
+* var xbuf = new Float32Array( [ 1.0, -2.0, 4.0, 2.0 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = new Uint8Array( [ 0, 0, 1, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smskmin( [ x, mask ] );
+* // returns -2.0
+*/
+
+// MODULES //
+
+var smskmin = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = smskmin;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js
new file mode 100644
index 000000000000..91913b012fec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/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/smskmin' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing one single-precision floating-point ndarray and one mask ndarray
+* @returns {number} minimum value
+*
+* @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 ] );
+* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var maskbuf = new Uint8Array( [ 0, 0, 1, 0 ] );
+* var mask = new ndarray( 'uint8', maskbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+*
+* var v = smskmin( [ x, mask ] );
+* // returns -2.0
+*/
+function smskmin( 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 = smskmin;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/package.json
new file mode 100644
index 000000000000..b5a31a67c58a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/package.json
@@ -0,0 +1,67 @@
+{
+  "name": "@stdlib/stats/base/ndarray/smskmin",
+  "version": "0.0.0",
+  "description": "Calculate the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.",
+  "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",
+    "minimum",
+    "min",
+    "masked",
+    "mask",
+    "float32",
+    "single-precision",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
new file mode 100644
index 000000000000..311facc47566
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
@@ -0,0 +1,253 @@
+/**
+* @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 Float32Array = require( '@stdlib/array/float32' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isNegativeZerof = require( '@stdlib/math/base/assert/is-negative-zerof' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var smskmin = 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 smskmin, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( smskmin.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function calculates the minimum value of a one-dimensional ndarray according to a mask', 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 = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( v, -4.0, 'returns expected value' );
+
+	x = new Float32Array( [ -4.0, NaN, -5.0 ] );
+	mask = new Uint8Array( [ 0, 1, 0 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( v, -5.0, 'returns expected value' );
+
+	x = new Float32Array( [ -0.0, 0.0, NaN, -0.0 ] );
+	mask = new Uint8Array( [ 0, 0, 1, 0 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isNegativeZerof( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ -4.0, 0.0, NaN, 5.0 ] );
+	mask = new Uint8Array( [ 0, 0, 0, 0 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN ] );
+	mask = new Uint8Array( [ 0 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN ] );
+	mask = new Uint8Array( [ 1 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 1, 1 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 1, 0 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 0, 1 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, mask.length, 1, 0 ) ] );
+	t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+	x = new Float32Array( [ NaN, NaN ] );
+	mask = new Uint8Array( [ 0, 0 ] );
+	v = smskmin( [ vector( 'float32', x, x.length, 1, 0 ), vector( 'uint8', mask, 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 = smskmin( [ vector( 'float32', x, 0, 1, 0 ), vector( 'uint8', mask, 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 the first element', 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 = smskmin( [ vector( 'float32', 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 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 = smskmin( [ vector( 'float32', x, 5, 2, 0 ), vector( 'uint8', mask, 5, 2, 0 ) ] );
+	t.strictEqual( v, -2.0, '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 = smskmin( [ vector( 'float32', x, 5, -2, 8 ), vector( 'uint8', mask, 5, -2, 8 ) ] );
+	t.strictEqual( v, -2.0, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports one-dimensional ndarrays having non-zero offsets', function test( t ) {
+	var 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 = smskmin( [ vector( 'float32', x, 5, 2, 1 ), vector( 'uint8', mask, 5, 2, 1 ) ] );
+	t.strictEqual( v, -2.0, 'returns expected value' );
+
+	t.end();
+});

From ab14b572331d981cf6cd4a19afaa65e0bdb384d5 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Tue, 2 Dec 2025 12:24:40 +0530
Subject: [PATCH 2/7] feat: Lint Fix

---
 .../@stdlib/stats/base/ndarray/smskmin/examples/index.js        | 2 --
 1 file changed, 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
index fbfe821ae00b..25b500f6bf07 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/examples/index.js
@@ -18,8 +18,6 @@
 
 'use strict';
 
-var Float32Array = require( '@stdlib/array/float32' );
-var Uint8Array = require( '@stdlib/array/uint8' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var bernoulli = require( '@stdlib/random/array/bernoulli' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );

From 5056468949b21d2c4392fb18e56d414c2ffe01b7 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Tue, 2 Dec 2025 12:28:58 +0530
Subject: [PATCH 3/7] feat: Lint Fix2

---
 .../@stdlib/stats/base/ndarray/smskmin/test/test.js  | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
index 311facc47566..6dd55e1a07f9 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
@@ -162,7 +162,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		2.0,
 		5.0,  // 4
 		6.0
-	] );
+	]);
 	mask = new Uint8Array( [
 		0, // 0
 		0,
@@ -174,7 +174,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		0,
 		1, // 4
 		1
-	] );
+	]);
 
 	v = smskmin( [ vector( 'float32', x, 5, 2, 0 ), vector( 'uint8', mask, 5, 2, 0 ) ] );
 	t.strictEqual( v, -2.0, 'returns expected value' );
@@ -197,7 +197,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		3.0,
 		4.0,  // 0
 		2.0
-	] );
+	]);
 	mask = new Uint8Array( [
 		1, // 4
 		1,
@@ -209,7 +209,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		0,
 		0, // 0
 		0
-	] );
+	]);
 
 	v = smskmin( [ vector( 'float32', x, 5, -2, 8 ), vector( 'uint8', mask, 5, -2, 8 ) ] );
 	t.strictEqual( v, -2.0, 'returns expected value' );
@@ -232,7 +232,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		4.0,  // 3
 		5.0,
 		6.0   // 4
-	] );
+	]);
 	mask = new Uint8Array( [
 		0,
 		0, // 0
@@ -244,7 +244,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		0, // 3
 		1,
 		1  // 4
-	] );
+	]);
 
 	v = smskmin( [ vector( 'float32', x, 5, 2, 1 ), vector( 'uint8', mask, 5, 2, 1 ) ] );
 	t.strictEqual( v, -2.0, 'returns expected value' );

From 0bdcad8cf72b26b32975bf4b6f0ca905b2eb3c86 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Tue, 2 Dec 2025 12:32:44 +0530
Subject: [PATCH 4/7] feat: Lint Fix3

---
 .../stats/base/ndarray/smskmin/test/test.js    | 18 ++++++------------
 1 file changed, 6 insertions(+), 12 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
index 6dd55e1a07f9..c097933b1f0e 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
@@ -151,8 +151,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 	var x;
 	var v;
 
-	x = new Float32Array( [
-		1.0,  // 0
+	x = new Float32Array( [ 1.0,  // 0
 		2.0,
 		2.0,  // 1
 		-7.0,
@@ -163,8 +162,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		5.0,  // 4
 		6.0
 	]);
-	mask = new Uint8Array( [
-		0, // 0
+	mask = new Uint8Array( [ 0, // 0
 		0,
 		0, // 1
 		0,
@@ -186,8 +184,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 	var x;
 	var v;
 
-	x = new Float32Array( [
-		5.0,  // 4
+	x = new Float32Array( [ 5.0,  // 4
 		6.0,
 		1.0,  // 3
 		2.0,
@@ -198,8 +195,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		4.0,  // 0
 		2.0
 	]);
-	mask = new Uint8Array( [
-		1, // 4
+	mask = new Uint8Array( [ 1, // 4
 		1,
 		0, // 3
 		0,
@@ -221,8 +217,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 	var x;
 	var v;
 
-	x = new Float32Array( [
-		2.0,
+	x = new Float32Array( [ 2.0,
 		1.0,  // 0
 		2.0,
 		-2.0, // 1
@@ -233,8 +228,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		5.0,
 		6.0   // 4
 	]);
-	mask = new Uint8Array( [
-		0,
+	mask = new Uint8Array( [ 0,
 		0, // 0
 		0,
 		0, // 1

From e4cc86e075df88db7aa3d691dbffaefc33cc0840 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Mon, 1 Dec 2025 23:38:12 -0800
Subject: [PATCH 5/7] style: re-wrap lines

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
index fc144546f60a..c73148d904fa 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Computes the minimum value of a one-dimensional single-precision
-    floating-point ndarray according to a mask.
+    Computes the minimum value of a one-dimensional single-precision floating-
+    point ndarray according to a mask.
 
     If provided an empty ndarray or a mask with all elements set to `1`, the
     function returns `NaN`.

From ca0dbdae1f74829f4e7e952bebd3427772fd343d Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Mon, 1 Dec 2025 23:39:30 -0800
Subject: [PATCH 6/7] docs: update desc

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js
index 91913b012fec..3cc90f3b10c8 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/lib/main.js
@@ -32,7 +32,7 @@ var strided = require( '@stdlib/stats/strided/smskmin' ).ndarray;
 /**
 * Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask.
 *
-* @param {ArrayLikeObject<Object>} arrays - array-like object containing one single-precision floating-point ndarray and one mask ndarray
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing an input ndarray and a mask ndarray
 * @returns {number} minimum value
 *
 * @example

From 423498fd4b2a18d7c3c846771e00088eb5446b87 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Mon, 1 Dec 2025 23:41:21 -0800
Subject: [PATCH 7/7] style: fix unconventional line breaks

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../stats/base/ndarray/smskmin/test/test.js    | 18 ++++++++++++------
 1 file changed, 12 insertions(+), 6 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
index c097933b1f0e..58e0ea796b5c 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/smskmin/test/test.js
@@ -151,7 +151,8 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 	var x;
 	var v;
 
-	x = new Float32Array( [ 1.0,  // 0
+	x = new Float32Array([
+		1.0,  // 0
 		2.0,
 		2.0,  // 1
 		-7.0,
@@ -162,7 +163,8 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		5.0,  // 4
 		6.0
 	]);
-	mask = new Uint8Array( [ 0, // 0
+	mask = new Uint8Array([
+		0, // 0
 		0,
 		0, // 1
 		0,
@@ -184,7 +186,8 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 	var x;
 	var v;
 
-	x = new Float32Array( [ 5.0,  // 4
+	x = new Float32Array([
+		5.0,  // 4
 		6.0,
 		1.0,  // 3
 		2.0,
@@ -195,7 +198,8 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		4.0,  // 0
 		2.0
 	]);
-	mask = new Uint8Array( [ 1, // 4
+	mask = new Uint8Array([
+		1, // 4
 		1,
 		0, // 3
 		0,
@@ -217,7 +221,8 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 	var x;
 	var v;
 
-	x = new Float32Array( [ 2.0,
+	x = new Float32Array([
+		2.0,
 		1.0,  // 0
 		2.0,
 		-2.0, // 1
@@ -228,7 +233,8 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		5.0,
 		6.0   // 4
 	]);
-	mask = new Uint8Array( [ 0,
+	mask = new Uint8Array([
+		0,
 		0, // 0
 		0,
 		0, // 1