From 4cc08fcc0caaadd5fb4cd6595172ad35f0839a3c Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Wed, 3 Dec 2025 18:49:26 +0530
Subject: [PATCH 1/7] feat: add stats/base/ndarray/snanmskmin

---
 .../stats/base/ndarray/snanmskmin/README.md   | 125 +++++++++
 .../ndarray/snanmskmin/benchmark/benchmark.js | 111 ++++++++
 .../base/ndarray/snanmskmin/docs/repl.txt     |  37 +++
 .../ndarray/snanmskmin/docs/types/index.d.ts  |  50 ++++
 .../ndarray/snanmskmin/docs/types/test.ts     |  63 +++++
 .../base/ndarray/snanmskmin/examples/index.js |  40 +++
 .../base/ndarray/snanmskmin/lib/index.js      |  49 ++++
 .../stats/base/ndarray/snanmskmin/lib/main.js |  61 +++++
 .../base/ndarray/snanmskmin/package.json      |  68 +++++
 .../base/ndarray/snanmskmin/test/test.js      | 253 ++++++++++++++++++
 10 files changed, 857 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/package.json
 create mode 100644 lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md
new file mode 100644
index 000000000000..60d3a8b014c4
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md
@@ -0,0 +1,125 @@
+<!--
+
+@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.
+
+-->
+
+# snanmskmin
+
+> Calculate the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring `NaN` values.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var snanmskmin = require( '@stdlib/stats/base/ndarray/snanmskmin' );
+```
+
+#### snanmskmin( arrays )
+
+Computes the minimum value 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 = snanmskmin( [ 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 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 snanmskmin = require( '@stdlib/stats/base/ndarray/snanmskmin' );
+
+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 = nanmskmin( [ 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/snanmskmin/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/benchmark/benchmark.js
new file mode 100644
index 000000000000..4a0685fe4bf2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/benchmark/benchmark.js
@@ -0,0 +1,111 @@
+/**
+* @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 snanmskmin = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var 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, {
+		'dtype': 'uint8'
+	});
+	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++ ) {
+			xbuf[ i%len ] = i;
+			v = snanmskmin( [ 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/snanmskmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/repl.txt
new file mode 100644
index 000000000000..7b5c26ada8d1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/repl.txt
@@ -0,0 +1,37 @@
+
+{{alias}}( arrays )
+    Calculates the minimum value 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
+        Minimum value.
+
+    Examples
+    --------
+    > var Float32Array = require( '@stdlib/array/float32' );
+    > var Uint8Array = require( '@stdlib/array/uint8' );
+    > var xbuf = new Float32Array( [ 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 mbuf = new Uint8Array( [ 0, 0, 1, 0, 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/snanmskmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
new file mode 100644
index 000000000000..b01532bfdd1b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/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, ignoring `NaN` values.
+*
+* @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, NaN ] );
+* var x = new ndarray( 'float32', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var mbuf = new Uint8Array( [ 0, 0, 1, 0, 0 ] );
+* var mask = new ndarray( 'uint8', mbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var v = snanmskmin( [ x, mask ] );
+* // returns -2.0
+*/
+declare function snanmskmin<T extends ndarray = ndarray>( arrays: [ T, T ] ): number;
+
+
+// EXPORTS //
+
+export = snanmskmin;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/test.ts
new file mode 100644
index 000000000000..d0f925ee40f2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/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 snanmskmin = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'float32'
+	});
+	const mask = zeros( [ 10 ], {
+		'dtype': 'generic'
+	});
+
+	snanmskmin( [ x, mask ] ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	snanmskmin( '10' ); // $ExpectError
+	snanmskmin( 10 ); // $ExpectError
+	snanmskmin( true ); // $ExpectError
+	snanmskmin( false ); // $ExpectError
+	snanmskmin( null ); // $ExpectError
+	snanmskmin( undefined ); // $ExpectError
+	snanmskmin( [] ); // $ExpectError
+	snanmskmin( {} ); // $ExpectError
+	snanmskmin( ( 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': 'generic'
+	});
+
+	snanmskmin(); // $ExpectError
+	snanmskmin( [ x, mask ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/examples/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/examples/index.js
new file mode 100644
index 000000000000..bb0ea905bfd3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/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 snanmskmin = 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 = snanmskmin( [ x, mask ] );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/index.js
new file mode 100644
index 000000000000..829c7d900ecc
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/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, ignoring `NaN` values.
+*
+* @module @stdlib/stats/base/ndarray/snanmskmin
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var snanmskmin = require( '@stdlib/stats/base/ndarray/snanmskmin' );
+*
+* 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 mbuf = new Uint8Array( [ 0, 0, 1, 0, 0 ] );
+* var mask = new ndarray( 'uint8', mbuf, [ 5 ], [ 1 ], 0, 'row-major' );
+*
+* var v = snanmskmin( [ x, mask ] );
+* // returns -2.0
+*/
+
+// MODULES //
+
+var main = require( '@stdlib/stats/base/ndarray/snanmskmin/lib/main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/main.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/main.js
new file mode 100644
index 000000000000..fe5591cac433
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/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/snanmskmin' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the minimum value 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} 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, 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 = snanmskmin( [ x, mask ] );
+* // returns -2.0
+*/
+function snanmskmin( 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 = snanmskmin;
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/package.json b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/package.json
new file mode 100644
index 000000000000..faf1f641a0b1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/package.json
@@ -0,0 +1,68 @@
+{
+  "name": "@stdlib/stats/base/ndarray/snanmskmin",
+  "version": "0.0.0",
+  "description": "Calculate the minimum value 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",
+    "minimum",
+    "min",
+    "masked",
+    "mask",
+    "nan",
+    "float32",
+    "single",
+    "ndarray"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js
new file mode 100644
index 000000000000..d9141ed0ddd5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/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 snanmskmin = 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 snanmskmin, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( snanmskmin.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function calculates the minimum 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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( [ NaN ] );
+	mask = new Uint8Array( [ 0 ] );
+	v = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ 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 = snanmskmin( [ vector( 'float32', x, 5, 2, 1 ), vector( 'uint8', mask, 5, 2, 1 ) ] );
+	t.strictEqual( v, -2.0, 'returns expected value' );
+
+	t.end();
+});

From d66502cfebb6755ec476e3024015a57a9d4d1e5a Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Wed, 3 Dec 2025 18:59:34 +0530
Subject: [PATCH 2/7] changes

---
 .../@stdlib/stats/base/ndarray/snanmskmin/README.md         | 2 +-
 .../stats/base/ndarray/snanmskmin/docs/types/index.d.ts     | 4 ++--
 .../@stdlib/stats/base/ndarray/snanmskmin/lib/index.js      | 6 +++---
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md
index 60d3a8b014c4..0b4a0e4174f9 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/README.md
@@ -100,7 +100,7 @@ var maskbuf = bernoulli( xbuf.length, 0.2, {
 var mask = new ndarray( 'uint8', maskbuf, [ maskbuf.length ], [ 1 ], 0, 'row-major' );
 console.log( ndarray2array( mask ) );
 
-var v = nanmskmin( [ x, mask ] );
+var v = snanmskmin( [ x, mask ] );
 console.log( v );
 ```
 
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
index b01532bfdd1b..a910352e8e88 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
@@ -36,8 +36,8 @@ import { ndarray } from '@stdlib/types/ndarray';
 * 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 mbuf = new Uint8Array( [ 0, 0, 1, 0, 0 ] );
-* var mask = new ndarray( 'uint8', mbuf, [ 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 = snanmskmin( [ x, mask ] );
 * // returns -2.0
diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/index.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/index.js
index 829c7d900ecc..60fa8e9ff9e8 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/lib/index.js
@@ -32,8 +32,8 @@
 * 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 mbuf = new Uint8Array( [ 0, 0, 1, 0, 0 ] );
-* var mask = new ndarray( 'uint8', mbuf, [ 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 = snanmskmin( [ x, mask ] );
 * // returns -2.0
@@ -41,7 +41,7 @@
 
 // MODULES //
 
-var main = require( '@stdlib/stats/base/ndarray/snanmskmin/lib/main.js' );
+var main = require( './main.js' );
 
 
 // EXPORTS //

From 486f3627b69333d2008a349f4a7ccf5e2cb21b09 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Wed, 3 Dec 2025 19:05:18 +0530
Subject: [PATCH 3/7] Lint

---
 .../@stdlib/stats/base/ndarray/snanmskmin/test/test.js      | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js
index d9141ed0ddd5..57ca0569fc33 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/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,
@@ -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,
@@ -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

From 3db53ca9b1687b76b97a5e98d8030ca80157a0df Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Wed, 3 Dec 2025 19:11:14 +0530
Subject: [PATCH 4/7] Lint2

---
 .../stats/base/ndarray/snanmskmin/test/test.js | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js
index 57ca0569fc33..bd0e89d4f939 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/test/test.js
@@ -151,7 +151,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 	var x;
 	var v;
 
-	x = new Float32Array( [
+	x = new Float32Array([
 		1.0,  // 0
 		2.0,
 		2.0,  // 1
@@ -163,7 +163,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		5.0,  // 4
 		6.0
 	]);
-	mask = new Uint8Array( [
+	mask = new Uint8Array([
 		0, // 0
 		0,
 		0, // 1
@@ -174,7 +174,7 @@ tape( 'the function supports one-dimensional ndarrays having non-unit strides',
 		0,
 		1, // 4
 		1
-	] );
+	]);
 
 	v = snanmskmin( [ vector( 'float32', x, 5, 2, 0 ), vector( 'uint8', mask, 5, 2, 0 ) ] );
 	t.strictEqual( v, -2.0, 'returns expected value' );
@@ -186,7 +186,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 	var x;
 	var v;
 
-	x = new Float32Array( [
+	x = new Float32Array([
 		5.0,  // 4
 		6.0,
 		1.0,  // 3
@@ -198,7 +198,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		4.0,  // 0
 		2.0
 	]);
-	mask = new Uint8Array( [
+	mask = new Uint8Array([
 		1, // 4
 		1,
 		0, // 3
@@ -209,7 +209,7 @@ tape( 'the function supports one-dimensional ndarrays having negative strides',
 		0,
 		0, // 0
 		0
-	] );
+	]);
 
 	v = snanmskmin( [ vector( 'float32', x, 5, -2, 8 ), vector( 'uint8', mask, 5, -2, 8 ) ] );
 	t.strictEqual( v, -2.0, 'returns expected value' );
@@ -221,7 +221,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 	var x;
 	var v;
 
-	x = new Float32Array( [
+	x = new Float32Array([
 		2.0,
 		1.0,  // 0
 		2.0,
@@ -233,7 +233,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		5.0,
 		6.0   // 4
 	]);
-	mask = new Uint8Array( [
+	mask = new Uint8Array([
 		0,
 		0, // 0
 		0,
@@ -244,7 +244,7 @@ tape( 'the function supports one-dimensional ndarrays having non-zero offsets',
 		0, // 3
 		1,
 		1  // 4
-	] );
+	]);
 
 	v = snanmskmin( [ vector( 'float32', x, 5, 2, 1 ), vector( 'uint8', mask, 5, 2, 1 ) ] );
 	t.strictEqual( v, -2.0, 'returns expected value' );

From 8af1432368d75c3e59369f212b331a63a882cce6 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 21:02:38 -0800
Subject: [PATCH 5/7] docs: fix line wrapping

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/repl.txt
index 7b5c26ada8d1..da1ff0056cc2 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Calculates the minimum value of a one-dimensional single-precision
-    floating-point ndarray according to a mask, ignoring `NaN` values.
+    Calculates the minimum value 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`.

From ac4c7538e054337eac27418ea752c1e56919b5f7 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 21:03:28 -0800
Subject: [PATCH 6/7] Apply suggestions from code review

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

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/test.ts
index d0f925ee40f2..87d668bb1baa 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/test.ts
@@ -30,7 +30,7 @@ import snanmskmin = require( './index' );
 		'dtype': 'float32'
 	});
 	const mask = zeros( [ 10 ], {
-		'dtype': 'generic'
+		'dtype': 'uint8'
 	});
 
 	snanmskmin( [ x, mask ] ); // $ExpectType number
@@ -55,7 +55,7 @@ import snanmskmin = require( './index' );
 		'dtype': 'float32'
 	});
 	const mask = zeros( [ 10 ], {
-		'dtype': 'generic'
+		'dtype': 'uint8'
 	});
 
 	snanmskmin(); // $ExpectError

From 4eb922fc4f256f6f4fae8a264b668ed52bd4a743 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 3 Dec 2025 21:04:36 -0800
Subject: [PATCH 7/7] fix: update types

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../stats/base/ndarray/snanmskmin/docs/types/index.d.ts       | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
index a910352e8e88..8a3532023372 100644
--- a/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/ndarray/snanmskmin/docs/types/index.d.ts
@@ -20,7 +20,7 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { ndarray } from '@stdlib/types/ndarray';
+import { float32ndarray, uint8ndarray } from '@stdlib/types/ndarray';
 
 /**
 * Computes the minimum value of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring `NaN` values.
@@ -42,7 +42,7 @@ import { ndarray } from '@stdlib/types/ndarray';
 * var v = snanmskmin( [ x, mask ] );
 * // returns -2.0
 */
-declare function snanmskmin<T extends ndarray = ndarray>( arrays: [ T, T ] ): number;
+declare function snanmskmin( arrays: [ float32ndarray, uint8ndarray ] ): number;
 
 
 // EXPORTS //