From 82c9eb430fef7d9548685ee59990b1d1ad744ae5 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sat, 20 Sep 2025 22:32:45 +0500
Subject: [PATCH 1/3] feat: add ndarray/any

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
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---
---
 .../@stdlib/ndarray/any/README.md             | 280 +++++++++++++++
 .../ndarray/any/benchmark/benchmark.1d.js     | 137 +++++++
 .../ndarray/any/benchmark/benchmark.2d.js     | 151 ++++++++
 .../@stdlib/ndarray/any/docs/repl.txt         |  82 +++++
 .../@stdlib/ndarray/any/docs/types/index.d.ts | 203 +++++++++++
 .../@stdlib/ndarray/any/docs/types/test.ts    | 197 ++++++++++
 .../@stdlib/ndarray/any/examples/index.js     |  84 +++++
 .../@stdlib/ndarray/any/lib/assign.js         | 111 ++++++
 .../@stdlib/ndarray/any/lib/defaults.json     |   4 +
 .../@stdlib/ndarray/any/lib/index.js          | 103 ++++++
 .../@stdlib/ndarray/any/lib/main.js           | 141 ++++++++
 .../@stdlib/ndarray/any/lib/validate.js       |  90 +++++
 .../@stdlib/ndarray/any/package.json          |  65 ++++
 .../@stdlib/ndarray/any/test/test.assign.js   | 262 ++++++++++++++
 .../@stdlib/ndarray/any/test/test.js          |  39 ++
 .../@stdlib/ndarray/any/test/test.main.js     | 337 ++++++++++++++++++
 16 files changed, 2286 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/README.md
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/lib/assign.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/lib/defaults.json
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/lib/validate.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/package.json
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/test/test.assign.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/test/test.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/any/test/test.main.js

diff --git a/lib/node_modules/@stdlib/ndarray/any/README.md b/lib/node_modules/@stdlib/ndarray/any/README.md
new file mode 100644
index 000000000000..d17744ac203d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/README.md
@@ -0,0 +1,280 @@
+<!--
+
+@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.
+
+-->
+
+# any
+
+> Test whether at least one element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var any = require( '@stdlib/ndarray/any' );
+```
+
+#### any( x\[, options] )
+
+Tests whether at least one element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+
+// Create an input ndarray:
+var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, -4.0 ] ], [ [ 5.0, -6.0 ] ] ] );
+// returns <ndarray>
+
+// Perform reduction:
+var out = any( x );
+// returns <ndarray>
+
+var v = out.get();
+// returns true
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [`ndarray`][@stdlib/ndarray/ctor].
+-   **options**: function options (_optional_).
+
+The function accepts the following `options`:
+
+-   **dims**: list of dimensions over which to perform a reduction.
+-   **keepdims**: boolean indicating whether the reduced dimensions should be included in the returned [`ndarray`][@stdlib/ndarray/ctor] as singleton dimensions. Default: `false`.
+
+By default, the function performs a reduction over all elements in a provided [`ndarray`][@stdlib/ndarray/ctor]. To reduce specific dimensions, set the `dims` option.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+// Create an input ndarray:
+var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
+// returns <ndarray>
+
+// Perform reduction:
+var out = any( x, {
+    'dims': [ 1, 2 ]
+});
+// returns <ndarray>
+
+var v = ndarray2array( out );
+// returns [ true, true, true ]
+```
+
+By default, the function returns an [`ndarray`][@stdlib/ndarray/ctor] having a shape matching only the non-reduced dimensions of the input [`ndarray`][@stdlib/ndarray/ctor] (i.e., the reduced dimensions are dropped). To include the reduced dimensions as singleton dimensions in the output [`ndarray`][@stdlib/ndarray/ctor], set the `keepdims` option to `true`.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+// Create an input ndarray:
+var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
+// returns <ndarray>
+
+// Perform reduction:
+var out = any( x, {
+    'dims': [ 1, 2 ],
+    'keepdims': true
+});
+// returns <ndarray>
+
+var v = ndarray2array( out );
+// returns [ [ [ true ] ], [ [ true ] ], [ [ true ] ] ]
+```
+
+#### any.assign( x, out\[, options] )
+
+Tests whether at least one element along one or more [`ndarray`][@stdlib/ndarray/ctor] dimensions is truthy and assigns results to a provided output [`ndarray`][@stdlib/ndarray/ctor].
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var empty = require( '@stdlib/ndarray/empty' );
+
+// Create an input ndarray:
+var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
+// returns <ndarray>
+
+// Create an output ndarray:
+var y = empty( [], {
+    'dtype': 'bool'
+});
+
+// Perform reduction:
+var out = any.assign( x, y );
+// returns <ndarray>
+
+var bool = ( out === y );
+// returns true
+
+var v = y.get();
+// returns true
+```
+
+The function accepts the following arguments:
+
+-   **x**: input [`ndarray`][@stdlib/ndarray/ctor].
+-   **out**: output [`ndarray`][@stdlib/ndarray/ctor]. The output [`ndarray`][@stdlib/ndarray/ctor] must have a shape matching the non-reduced dimensions of the input [`ndarray`][@stdlib/ndarray/ctor].
+-   **options**: function options (_optional_).
+
+The function accepts the following `options`:
+
+-   **dims**: list of dimensions over which to perform a reduction.
+
+By default, the function performs a reduction over all elements in a provided [`ndarray`][@stdlib/ndarray/ctor]. To reduce specific dimensions, set the `dims` option.
+
+```javascript
+var array = require( '@stdlib/ndarray/array' );
+var empty = require( '@stdlib/ndarray/empty' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+// Create an input ndarray:
+var x = array( [ [ [ -1.0, 0.0 ] ], [ [ -3.0, 0.0 ] ], [ [ 5.0, 0.0 ] ] ] );
+// returns <ndarray>
+
+// Create an output ndarray:
+var y = empty( [ 3 ], {
+    'dtype': 'bool'
+});
+
+// Perform reduction:
+var out = any.assign( x, y, {
+    'dims': [ 1, 2 ]
+});
+
+var bool = ( out === y );
+// returns true
+
+var v = ndarray2array( y );
+// returns [ true, true, true ]
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var fillBy = require( '@stdlib/ndarray/fill-by' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var any = require( '@stdlib/ndarray/any' );
+
+var x = zeros( [ 2, 4, 5 ], {
+    'dtype': 'float64'
+});
+x = fillBy( x, bernoulli( 0.50 ) );
+console.log( ndarray2array( x ) );
+
+var y = any( x );
+console.log( 'any(x[:,:,:]) =' );
+console.log( y.get() );
+
+y = any( x, {
+    'dims': [ 0 ],
+    'keepdims': true
+});
+console.log( 'any(x[:,j,k]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+    'dims': [ 1 ],
+    'keepdims': true
+});
+console.log( 'any(x[i,:,k]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+    'dims': [ 2 ],
+    'keepdims': true
+});
+console.log( 'any(x[i,j,:]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+    'dims': [ 0, 1 ],
+    'keepdims': true
+});
+console.log( 'any(x[:,:,k]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+    'dims': [ 0, 2 ],
+    'keepdims': true
+});
+console.log( 'any(x[:,j,:]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+    'dims': [ 1, 2 ],
+    'keepdims': true
+});
+console.log( 'any(x[i,:,:]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+    'dims': [ 0, 1, 2 ],
+    'keepdims': true
+});
+console.log( 'any(x[:,:,:]) =' );
+console.log( ndarray2array( y ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js
new file mode 100644
index 000000000000..2880678513f2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js
@@ -0,0 +1,137 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var pkg = require( './../package.json' ).name;
+var any = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var orders = [ 'row-major', 'column-major' ];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @param {string} order - memory layout
+* @param {NonNegativeIntegerArray} dims - list of dimensions to reduce
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, order, dims ) {
+	var x;
+
+	x = discreteUniform( len, -1, -100 );
+	x = new ndarray( xtype, x, shape, shape2strides( shape, order ), 0, order );
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = any( x, {
+				'dims': dims
+			});
+			if ( typeof out !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( !isndarrayLike( out ) ) {
+			b.fail( 'should return an ndarray' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var dims;
+	var len;
+	var min;
+	var max;
+	var ord;
+	var sh;
+	var t1;
+	var f;
+	var i;
+	var j;
+	var k;
+	var n;
+	var d;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	d = [
+		[ 0 ],
+		[]
+	];
+
+	for ( n = 0; n < d.length; n++ ) {
+		dims = d[ n ];
+		for ( k = 0; k < orders.length; k++ ) {
+			ord = orders[ k ];
+			for ( j = 0; j < types.length; j++ ) {
+				t1 = types[ j ];
+				for ( i = min; i <= max; i++ ) {
+					len = pow( 10, i );
+
+					sh = [ len ];
+					f = createBenchmark( len, sh, t1, ord, dims );
+					bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1+',dims=['+dims.join(',' )+']', f );
+				}
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js
new file mode 100644
index 000000000000..1debc01b4396
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js
@@ -0,0 +1,151 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var pkg = require( './../package.json' ).name;
+var any = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var orders = [ 'row-major', 'column-major' ];
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - ndarray data type
+* @param {string} order - memory layout
+* @param {NonNegativeIntegerArray} dims - list of dimensions to reduce
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, order, dims ) {
+	var x;
+
+	x = discreteUniform( len, -1, -100 );
+	x = new ndarray( xtype, x, shape, shape2strides( shape, order ), 0, order );
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = any( x, {
+				'dims': dims
+			});
+			if ( typeof out !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( !isndarrayLike( out ) ) {
+			b.fail( 'should return an ndarray' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var dims;
+	var len;
+	var min;
+	var max;
+	var ord;
+	var sh;
+	var t1;
+	var f;
+	var i;
+	var j;
+	var k;
+	var n;
+	var d;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	d = [
+		[ 0, 1 ],
+		[ 0 ],
+		[ 1 ],
+		[]
+	];
+
+	for ( n = 0; n < d.length; n++ ) {
+		dims = d[ n ];
+		for ( k = 0; k < orders.length; k++ ) {
+			ord = orders[ k ];
+			for ( j = 0; j < types.length; j++ ) {
+				t1 = types[ j ];
+				for ( i = min; i <= max; i++ ) {
+					len = pow( 10, i );
+
+					sh = [ len/2, 2 ];
+					f = createBenchmark( len, sh, t1, ord, dims );
+					bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1+',dims=['+dims.join(',' )+']', f );
+
+					sh = [ 2, len/2 ];
+					f = createBenchmark( len, sh, t1, ord, dims );
+					bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1+',dims=['+dims.join(',' )+']', f );
+
+					len = floor( sqrt( len ) );
+					sh = [ len, len ];
+					len *= len;
+					f = createBenchmark( len, sh, t1, ord, dims );
+					bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+ord+',xtype='+t1+',dims=['+dims.join(',' )+']', f );
+				}
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/any/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/any/docs/repl.txt
new file mode 100644
index 000000000000..9623b5a6bc92
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/docs/repl.txt
@@ -0,0 +1,82 @@
+
+{{alias}}( x[, options] )
+    Tests whether at least one element along one or more ndarray dimensions is
+    truthy.
+
+    Parameters
+    ----------
+    x: ndarray
+        Input ndarray.
+
+    options: Object (optional)
+        Function options.
+
+    options.dims: Array<integer> (optional)
+        List of dimensions over which to perform a reduction. If not provided,
+        the function performs a reduction over all elements in a provided input
+        ndarray.
+
+    options.keepdims: boolean (optional)
+        Boolean indicating whether the reduced dimensions should be included in
+        the returned ndarray as singleton dimensions. Default: false.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray. When performing a reduction over all elements, the
+        function returns a zero-dimensional ndarray containing the result.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1.0, 0.0 ], [ 0.0, 1.0 ] ] );
+    > var y = {{alias}}( x )
+    <ndarray>
+    > y.get()
+    true
+    > y = {{alias}}( x, { 'keepdims': true } )
+    <ndarray>
+    > {{alias:@stdlib/ndarray/to-array}}( y )
+    [ [ true ] ]
+    > y.get( 0, 0 )
+    true
+
+
+{{alias}}.assign( x, y[, options] )
+    Tests whether at least one element along one or more ndarray dimensions is
+    truthy and assigns the results to a provided output ndarray.
+
+    Parameters
+    ----------
+    x: ndarray
+        Input ndarray.
+
+    y: ndarray
+        Output ndarray. The output shape must match the shape of the non-reduced
+        dimensions of the input ndarray.
+
+    options: Object (optional)
+        Function options.
+
+    options.dims: Array<integer> (optional)
+        List of dimensions over which to perform a reduction. If not provided,
+        the function performs a reduction over all elements in a provided input
+        ndarray.
+
+    Returns
+    -------
+    y: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1.0, 0.0 ], [ 0.0, 1.0 ] ] );
+    > var y = {{alias:@stdlib/ndarray/from-scalar}}( false );
+    > var out = {{alias}}.assign( x, y )
+    <ndarray>
+    > var bool = ( out === y )
+    true
+    > y.get()
+    true
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/ndarray/any/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/any/docs/types/index.d.ts
new file mode 100644
index 000000000000..029716680464
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/docs/types/index.d.ts
@@ -0,0 +1,203 @@
+/*
+* @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 { ArrayLike } from '@stdlib/types/array';
+import { ndarray, boolndarray } from '@stdlib/types/ndarray';
+
+/**
+* Base options.
+*/
+interface BaseOptions {
+	/**
+	* List of dimensions over which to perform the reduction.
+	*/
+	dims?: ArrayLike<number>;
+}
+
+/**
+* Options.
+*/
+interface Options extends BaseOptions {
+	/**
+	* Boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions. Default: `false`.
+	*/
+	keepdims?: boolean;
+}
+
+/**
+* Interface describing `any`.
+*/
+interface Any {
+	/**
+	* Tests whether at least one element along one or more ndarray dimensions is truthy.
+	*
+	* @param x - input ndarray
+	* @param options - function options
+	* @param options.dims - list of dimensions over which to perform a reduction
+	* @param options.keepdims - boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions (default: false)
+	* @returns output ndarray
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	* var ndarray = require( '@stdlib/ndarray/ctor' );
+	*
+	* // Create a data buffer:
+	* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+	*
+	* // Define the shape of the input array:
+	* var sh = [ 3, 1, 2 ];
+	*
+	* // Define the array strides:
+	* var sx = [ 4, 4, 1 ];
+	*
+	* // Define the index offset:
+	* var ox = 1;
+	*
+	* // Create an input ndarray:
+	* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
+	*
+	* // Perform reduction:
+	* var out = any( x );
+	* // returns <ndarray>
+	*
+	* var v = out.get();
+	* // returns true
+	*/
+	( x: ndarray, options?: Options ): boolndarray;
+
+	/**
+	* Tests whether at least one element along one or more ndarray dimensions is truthy and assigns the results to a provided output ndarray.
+	*
+	* @param x - input ndarray
+	* @param y - output ndarray
+	* @param options - function options
+	* @param options.dims - list of dimensions over which to perform a reduction
+	* @returns output ndarray
+	*
+	* @example
+	* var Float64Array = require( '@stdlib/array/float64' );
+	* var ndarray = require( '@stdlib/ndarray/ctor' );
+	* var empty = require( '@stdlib/ndarray/empty' );
+	*
+	* // Create a data buffer:
+	* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+	*
+	* // Define the shape of the input array:
+	* var shape = [ 3, 1, 2 ];
+	*
+	* // Define the array strides:
+	* var sx = [ 4, 4, 1 ];
+	*
+	* // Define the index offset:
+	* var ox = 1;
+	*
+	* // Create an input ndarray:
+	* var x = new ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+	*
+	* // Create an output ndarray:
+	* var y = empty( [], {
+	*     'dtype': 'bool'
+	* });
+	*
+	* // Perform reduction:
+	* var out = any.assign( x, y );
+	* // returns <ndarray>
+	*
+	* var v = out.get();
+	* // returns true
+	*/
+	assign<T extends ndarray>( x: ndarray, y: T, options?: BaseOptions ): T;
+}
+
+/**
+* Tests whether at least one element along one or more ndarray dimensions is truthy.
+*
+* @param x - input ndarray
+* @param options - function options
+* @param options.dims - list of dimensions over which to perform a reduction
+* @param options.keepdims - boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions (default: false)
+* @returns output ndarray
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var sh = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create an input ndarray:
+* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
+*
+* // Perform reduction:
+* var out = any( x );
+* // returns <ndarray>
+*
+* var v = out.get();
+* // returns true
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var empty = require( '@stdlib/ndarray/empty' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create an input ndarray:
+* var x = new ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+*
+* // Create an output ndarray:
+* var y = empty( [], {
+*     'dtype': 'bool'
+* });
+*
+* // Perform reduction:
+* var out = any.assign( x, y );
+* // returns <ndarray>
+*
+* var v = out.get();
+* // returns true
+*/
+declare var any: Any;
+
+
+// EXPORTS //
+
+export = any;
diff --git a/lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts
new file mode 100644
index 000000000000..28d9e43d4f33
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts
@@ -0,0 +1,197 @@
+/*
+* @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.
+*/
+
+/// <reference types="@stdlib/types"/>
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import empty = require( '@stdlib/ndarray/empty' );
+import any = require( './index' );
+
+
+// TESTS //
+
+// The function returns an boolean ndarray...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	any( x ); // $ExpectType boolndarray
+	any( x, {} ); // $ExpectType boolndarray
+	any( x, { 'keepdims': true } ); // $ExpectType boolndarray
+	any( x, { 'dims': [ 0 ] } ); // $ExpectType boolndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an ndarray...
+{
+	any( 5 ); // $ExpectError
+	any( true ); // $ExpectError
+	any( false ); // $ExpectError
+	any( null ); // $ExpectError
+	any( undefined ); // $ExpectError
+	any( {} ); // $ExpectError
+	any( [ 1 ] ); // $ExpectError
+	any( ( x: number ): number => x ); // $ExpectError
+
+	any( 5, {} ); // $ExpectError
+	any( true, {} ); // $ExpectError
+	any( false, {} ); // $ExpectError
+	any( null, {} ); // $ExpectError
+	any( undefined, {} ); // $ExpectError
+	any( {}, {} ); // $ExpectError
+	any( [ 1 ], {} ); // $ExpectError
+	any( ( x: number ): number => x, {} ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not an object...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	any( x, '5' ); // $ExpectError
+	any( x, 5 ); // $ExpectError
+	any( x, true ); // $ExpectError
+	any( x, false ); // $ExpectError
+	any( x, null ); // $ExpectError
+	any( x, [ 1 ] ); // $ExpectError
+	any( x, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a `keepdims` option which is not a boolean...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	any( x, { 'keepdims': '5' } ); // $ExpectError
+	any( x, { 'keepdims': 5 } ); // $ExpectError
+	any( x, { 'keepdims': null } ); // $ExpectError
+	any( x, { 'keepdims': [ 1 ] } ); // $ExpectError
+	any( x, { 'keepdims': {} } ); // $ExpectError
+	any( x, { 'keepdims': ( x: number ): number => x } ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a `dims` option which is not an array of numbers...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	any( x, { 'dims': '5' } ); // $ExpectError
+	any( x, { 'dims': 5 } ); // $ExpectError
+	any( x, { 'dims': null } ); // $ExpectError
+	any( x, { 'dims': true } ); // $ExpectError
+	any( x, { 'dims': false } ); // $ExpectError
+	any( x, { 'dims': {} } ); // $ExpectError
+	any( x, { 'dims': ( x: number ): number => x } ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	any(); // $ExpectError
+	any( x, {}, {} ); // $ExpectError
+}
+
+// Attached to the function is an `assign` method which returns an ndarray...
+{
+	const x = zeros( [ 2, 2 ] );
+	const y = empty( [], { 'dtype': 'bool' } );
+
+	any.assign( x, y ); // $ExpectType boolndarray
+	any.assign( x, y, {} ); // $ExpectType boolndarray
+	any.assign( x, y, { 'dims': [ 0 ] } ); // $ExpectType boolndarray
+}
+
+// The compiler throws an error if the `assign` method is provided a first argument which is not an ndarray...
+{
+	const y = empty( [], { 'dtype': 'bool' } );
+
+	any.assign( 5, y ); // $ExpectError
+	any.assign( true, y ); // $ExpectError
+	any.assign( false, y ); // $ExpectError
+	any.assign( null, y ); // $ExpectError
+	any.assign( undefined, y ); // $ExpectError
+	any.assign( {}, y ); // $ExpectError
+	any.assign( [ 1 ], y ); // $ExpectError
+	any.assign( ( x: number ): number => x, y ); // $ExpectError
+
+	any.assign( 5, y, {} ); // $ExpectError
+	any.assign( true, y, {} ); // $ExpectError
+	any.assign( false, y, {} ); // $ExpectError
+	any.assign( null, y, {} ); // $ExpectError
+	any.assign( undefined, y, {} ); // $ExpectError
+	any.assign( {}, y, {} ); // $ExpectError
+	any.assign( [ 1 ], y, {} ); // $ExpectError
+	any.assign( ( x: number ): number => x, y, {} ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a second argument which is not an ndarray...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	any.assign( x, 5 ); // $ExpectError
+	any.assign( x, true ); // $ExpectError
+	any.assign( x, false ); // $ExpectError
+	any.assign( x, null ); // $ExpectError
+	any.assign( x, undefined ); // $ExpectError
+	any.assign( x, {} ); // $ExpectError
+	any.assign( x, [ 1 ] ); // $ExpectError
+	any.assign( x, ( x: number ): number => x ); // $ExpectError
+
+	any.assign( x, 5, {} ); // $ExpectError
+	any.assign( x, true, {} ); // $ExpectError
+	any.assign( x, false, {} ); // $ExpectError
+	any.assign( x, null, {} ); // $ExpectError
+	any.assign( x, undefined, {} ); // $ExpectError
+	any.assign( x, {}, {} ); // $ExpectError
+	any.assign( x, [ 1 ], {} ); // $ExpectError
+	any.assign( x, ( x: number ): number => x, {} ); // $ExpectError
+}
+
+// The compiler throws an error if the `assign` method is provided a third argument which is not an object...
+{
+	const x = zeros( [ 2, 2 ] );
+	const y = empty( [], { 'dtype': 'bool' } );
+
+	any.assign( x, y, '5' ); // $ExpectError
+	any.assign( x, y, 5 ); // $ExpectError
+	any.assign( x, y, true ); // $ExpectError
+	any.assign( x, y, false ); // $ExpectError
+	any.assign( x, y, null ); // $ExpectError
+	any.assign( x, y, [ 1 ] ); // $ExpectError
+	any.assign( x, y, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a `dims` option which is not an array of numbers...
+{
+	const x = zeros( [ 2, 2 ] );
+	const y = empty( [], { 'dtype': 'bool' } );
+
+	any.assign( x, y, { 'dims': '5' } ); // $ExpectError
+	any.assign( x, y, { 'dims': 5 } ); // $ExpectError
+	any.assign( x, y, { 'dims': null } ); // $ExpectError
+	any.assign( x, y, { 'dims': true } ); // $ExpectError
+	any.assign( x, y, { 'dims': false } ); // $ExpectError
+	any.assign( x, y, { 'dims': {} } ); // $ExpectError
+	any.assign( x, y, { 'dims': ( x: number ): number => x } ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 2, 2 ] );
+	const y = empty( [], { 'dtype': 'bool' } );
+
+	any.assign(); // $ExpectError
+	any.assign( x ); // $ExpectError
+	any.assign( x, y, {}, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/any/examples/index.js b/lib/node_modules/@stdlib/ndarray/any/examples/index.js
new file mode 100644
index 000000000000..ae1073a941c6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/examples/index.js
@@ -0,0 +1,84 @@
+/**
+* @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 bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var fillBy = require( '@stdlib/ndarray/fill-by' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var any = require( './../lib' );
+
+var x = zeros( [ 2, 4, 5 ], {
+	'dtype': 'float64'
+});
+x = fillBy( x, bernoulli( 0.50 ) );
+console.log( ndarray2array( x ) );
+
+var y = any( x );
+console.log( 'any(x[:,:,:]) =' );
+console.log( y.get() );
+
+y = any( x, {
+	'dims': [ 0 ],
+	'keepdims': true
+});
+console.log( 'any(x[:,j,k]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+	'dims': [ 1 ],
+	'keepdims': true
+});
+console.log( 'any(x[i,:,k]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+	'dims': [ 2 ],
+	'keepdims': true
+});
+console.log( 'any(x[i,j,:]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+	'dims': [ 0, 1 ],
+	'keepdims': true
+});
+console.log( 'any(x[:,:,k]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+	'dims': [ 0, 2 ],
+	'keepdims': true
+});
+console.log( 'any(x[:,j,:]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+	'dims': [ 1, 2 ],
+	'keepdims': true
+});
+console.log( 'any(x[i,:,:]) =' );
+console.log( ndarray2array( y ) );
+
+y = any( x, {
+	'dims': [ 0, 1, 2 ],
+	'keepdims': true
+});
+console.log( 'any(x[:,:,:]) =' );
+console.log( ndarray2array( y ) );
diff --git a/lib/node_modules/@stdlib/ndarray/any/lib/assign.js b/lib/node_modules/@stdlib/ndarray/any/lib/assign.js
new file mode 100644
index 000000000000..6eca91f8f471
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/lib/assign.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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var unaryReduceSubarray = require( '@stdlib/ndarray/base/unary-reduce-subarray' );
+var ndims = require( '@stdlib/ndarray/ndims' );
+var base = require( '@stdlib/ndarray/base/any' );
+var objectAssign = require( '@stdlib/object/assign' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var format = require( '@stdlib/string/format' );
+var defaults = require( './defaults.json' );
+var validate = require( './validate.js' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element along one or more ndarray dimensions is truthy and assigns the results to a provided output ndarray.
+*
+* @param {ndarray} x - input ndarray
+* @param {ndarray} y - output ndarray
+* @param {Options} [options] - function options
+* @param {IntegerArray} [options.dims] - list of dimensions over which to perform a reduction
+* @throws {TypeError} first argument must be an ndarray-like object
+* @throws {TypeError} second argument must be an ndarray-like object
+* @throws {TypeError} options argument must be an object
+* @throws {Error} must provide valid options
+* @returns {ndarray} output ndarray
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var empty = require( '@stdlib/ndarray/empty' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create an input ndarray:
+* var x = new ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+*
+* // Create an output ndarray:
+* var y = empty( [], {
+*     'dtype': 'bool'
+* });
+*
+* // Perform reduction:
+* var out = assign( x, y );
+* // returns <ndarray>
+*
+* var v = out.get();
+* // returns true
+*/
+function assign( x, y, options ) {
+	var opts;
+	var err;
+	var N;
+
+	if ( !isndarrayLike( x ) ) {
+		throw new TypeError( format( 'invalid argument. First argument must be an ndarray-like object. Value: `%s`.', x ) );
+	}
+	if ( !isndarrayLike( y ) ) {
+		throw new TypeError( format( 'invalid argument. Second argument must be an ndarray-like object. Value: `%s`.', y ) );
+	}
+	N = ndims( x );
+
+	opts = objectAssign( {}, defaults );
+	if ( arguments.length > 2 ) {
+		err = validate( opts, N, options );
+		if ( err ) {
+			throw err;
+		}
+	}
+	if ( opts.dims === null ) {
+		opts.dims = zeroTo( N );
+	}
+	unaryReduceSubarray( base, [ x, y ], opts.dims ); // note: we assume that this lower-level function handles further validation of the output ndarray (e.g., expected shape, etc)
+	return y;
+}
+
+
+// EXPORTS //
+
+module.exports = assign;
diff --git a/lib/node_modules/@stdlib/ndarray/any/lib/defaults.json b/lib/node_modules/@stdlib/ndarray/any/lib/defaults.json
new file mode 100644
index 000000000000..08433b373a0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/lib/defaults.json
@@ -0,0 +1,4 @@
+{
+  "dims": null,
+  "keepdims": false
+}
diff --git a/lib/node_modules/@stdlib/ndarray/any/lib/index.js b/lib/node_modules/@stdlib/ndarray/any/lib/index.js
new file mode 100644
index 000000000000..564ba13fe0e1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/lib/index.js
@@ -0,0 +1,103 @@
+/**
+* @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';
+
+/**
+* Test whether at least one element along one or more ndarray dimensions is truthy.
+*
+* @module @stdlib/ndarray/any
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var any = require( '@stdlib/ndarray/any' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var sh = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create an input ndarray:
+* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
+*
+* // Perform reduction:
+* var out = any( x );
+* // returns <ndarray>
+*
+* var v = out.get();
+* // returns true
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+* var empty = require( '@stdlib/ndarray/empty' );
+* var any = require( '@stdlib/ndarray/any' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create an input ndarray:
+* var x = new ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+*
+* // Create an output ndarray:
+* var y = empty( [], {
+*     'dtype': 'bool'
+* });
+*
+* // Perform reduction:
+* var out = any.assign( x, y );
+* // returns <ndarray>
+*
+* var v = out.get();
+* // returns true
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var assign = require( './assign.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'assign', assign );
+
+
+// EXPORTS //
+
+module.exports = main;
+
+// exports: { "assign": "main.assign" }
diff --git a/lib/node_modules/@stdlib/ndarray/any/lib/main.js b/lib/node_modules/@stdlib/ndarray/any/lib/main.js
new file mode 100644
index 000000000000..3db9fcac0866
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/lib/main.js
@@ -0,0 +1,141 @@
+/**
+* @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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var unaryReduceSubarray = require( '@stdlib/ndarray/base/unary-reduce-subarray' );
+var base = require( '@stdlib/ndarray/base/any' );
+var spreadDimensions = require( '@stdlib/ndarray/base/spread-dimensions' );
+var indicesComplement = require( '@stdlib/array/base/indices-complement' );
+var getShape = require( '@stdlib/ndarray/shape' ); // note: non-base accessor is intentional due to the input array originating in userland
+var getOrder = require( '@stdlib/ndarray/base/order' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var getStrides = require( '@stdlib/ndarray/base/strides' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var empty = require( '@stdlib/ndarray/empty' );
+var ndarrayCtor = require( '@stdlib/ndarray/base/ctor' );
+var reinterpretBoolean = require( '@stdlib/strided/base/reinterpret-boolean' );
+var takeIndexed = require( '@stdlib/array/base/take-indexed' );
+var zeroTo = require( '@stdlib/array/base/zero-to' );
+var objectAssign = require( '@stdlib/object/assign' );
+var format = require( '@stdlib/string/format' );
+var defaults = require( './defaults.json' );
+var validate = require( './validate.js' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element along one or more ndarray dimensions is truthy.
+*
+* @param {ndarray} x - input ndarray
+* @param {Options} [options] - function options
+* @param {IntegerArray} [options.dims] - list of dimensions over which to perform a reduction
+* @param {boolean} [options.keepdims=false] - boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions
+* @throws {TypeError} first argument must be an ndarray-like object
+* @throws {TypeError} options argument must be an object
+* @throws {RangeError} dimension indices must not exceed input ndarray bounds
+* @throws {RangeError} number of dimension indices must not exceed the number of input ndarray dimensions
+* @throws {Error} must provide valid options
+* @returns {ndarray} output ndarray
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
+*
+* // Define the shape of the input array:
+* var sh = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create an input ndarray:
+* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
+*
+* // Perform reduction:
+* var out = any( x );
+* // returns <ndarray>
+*
+* var v = out.get();
+* // returns true
+*/
+function any( x, options ) {
+	var opts;
+	var view;
+	var err;
+	var idx;
+	var shx;
+	var shy;
+	var N;
+	var y;
+
+	if ( !isndarrayLike( x ) ) {
+		throw new TypeError( format( 'invalid argument. First argument must be an ndarray-like object. Value: `%s`.', x ) );
+	}
+	shx = getShape( x );
+	N = shx.length;
+
+	opts = objectAssign( {}, defaults );
+	if ( arguments.length > 1 ) {
+		err = validate( opts, N, options );
+		if ( err ) {
+			throw err;
+		}
+	}
+	// When a list of dimensions is not provided, reduce the entire input array across all dimensions...
+	if ( opts.dims === null ) {
+		opts.dims = zeroTo( N );
+	}
+	// Resolve the list of non-reduced dimensions:
+	idx = indicesComplement( N, opts.dims );
+
+	// Resolve the output array shape:
+	shy = takeIndexed( shx, idx );
+
+	// Initialize an output array whose shape matches that of the non-reduced dimensions and which has the same memory layout as the input array:
+	y = empty( shy, {
+		'dtype': 'bool',
+		'order': getOrder( x )
+	});
+
+	// Reinterpret the output array as an "indexed" array to ensure faster element access:
+	view = new ndarrayCtor( 'uint8', reinterpretBoolean( getData( y ), 0 ), shy, getStrides( y, false ), getOffset( y ), getOrder( y ) );
+
+	// Perform the reduction:
+	unaryReduceSubarray( base, [ x, view ], opts.dims );
+
+	// Check whether we need to reinsert singleton dimensions which can be useful for broadcasting the returned output array to the shape of the original input array...
+	if ( opts.keepdims ) {
+		y = spreadDimensions( N, y, idx );
+	}
+	return y;
+}
+
+
+// EXPORTS //
+
+module.exports = any;
diff --git a/lib/node_modules/@stdlib/ndarray/any/lib/validate.js b/lib/node_modules/@stdlib/ndarray/any/lib/validate.js
new file mode 100644
index 000000000000..fe5c7b00edc0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/lib/validate.js
@@ -0,0 +1,90 @@
+/**
+* @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 isObject = require( '@stdlib/assert/is-plain-object' );
+var hasOwnProp = require( '@stdlib/assert/has-own-property' );
+var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var isIntegerArray = require( '@stdlib/assert/is-integer-array' ).primitives;
+var isEmptyCollection = require( '@stdlib/assert/is-empty-collection' );
+var normalizeIndices = require( '@stdlib/ndarray/base/to-unique-normalized-indices' );
+var join = require( '@stdlib/array/base/join' );
+var format = require( '@stdlib/string/format' );
+
+
+// MAIN //
+
+/**
+* Validates function options.
+*
+* @private
+* @param {Object} opts - destination object
+* @param {NonNegativeInteger} ndims - number of input ndarray dimensions
+* @param {Options} options - function options
+* @param {boolean} [options.keepdims] - boolean indicating whether the reduced dimensions should be included in the returned ndarray as singleton dimensions
+* @param {IntegerArray} [options.dims] - list of dimensions over which to perform a reduction
+* @returns {(Error|null)} null or an error object
+*
+* @example
+* var opts = {};
+* var options = {
+*     'keepdims': true
+* };
+* var err = validate( opts, 3, options );
+* if ( err ) {
+*     throw err;
+* }
+*/
+function validate( opts, ndims, options ) {
+	var tmp;
+	if ( !isObject( options ) ) {
+		return new TypeError( format( 'invalid argument. Options argument must be an object. Value: `%s`.', options ) );
+	}
+	if ( hasOwnProp( options, 'keepdims' ) ) {
+		opts.keepdims = options.keepdims;
+		if ( !isBoolean( opts.keepdims ) ) {
+			return new TypeError( format( 'invalid option. `%s` option must be a boolean. Option: `%s`.', 'keepdims', opts.keepdims ) );
+		}
+	}
+	if ( hasOwnProp( options, 'dims' ) ) {
+		opts.dims = options.dims;
+		if ( !isIntegerArray( opts.dims ) && !isEmptyCollection( opts.dims ) ) {
+			return new TypeError( format( 'invalid option. `%s` option must be an array of integers. Option: `%s`.', 'dims', opts.dims ) );
+		}
+		tmp = normalizeIndices( opts.dims, ndims-1 );
+		if ( tmp === null ) {
+			return new RangeError( format( 'invalid option. `%s` option contains an out-of-bounds dimension index. Option: [%s].', 'dims', join( opts.dims, ',' ) ) );
+		}
+		if ( tmp.length !== opts.dims.length ) {
+			return new Error( format( 'invalid option. `%s` option contains duplicate indices. Option: [%s].', 'dims', join( opts.dims, ',' ) ) );
+		}
+		if ( tmp.length > ndims ) {
+			return new RangeError( format( 'invalid option. `%s` option specifies more dimensions than exists in the input array. Number of dimensions: %d. Option: [%s].', 'dims', ndims, join( opts.dims, ',' ) ) );
+		}
+		opts.dims = tmp;
+	}
+	return null;
+}
+
+
+// EXPORTS //
+
+module.exports = validate;
diff --git a/lib/node_modules/@stdlib/ndarray/any/package.json b/lib/node_modules/@stdlib/ndarray/any/package.json
new file mode 100644
index 000000000000..949ddb5868d3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/package.json
@@ -0,0 +1,65 @@
+{
+  "name": "@stdlib/ndarray/any",
+  "version": "0.0.0",
+  "description": "Test whether at least one element along one or more ndarray dimensions is truthy.",
+  "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",
+    "strided",
+    "array",
+    "ndarray",
+    "any",
+    "one",
+    "utility",
+    "utils",
+    "truthy",
+    "reduce",
+    "reduction"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/any/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/any/test/test.assign.js
new file mode 100644
index 000000000000..4466c0d8f732
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/test/test.assign.js
@@ -0,0 +1,262 @@
+/**
+* @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 Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var empty = require( '@stdlib/ndarray/empty' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var assign = require( './../lib/assign.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof assign, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an ndarray-like object', function test( t ) {
+	var values;
+	var y;
+	var i;
+
+	y = empty( [], {
+		'dtype': 'bool'
+	});
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{},
+		[],
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			assign( value, y );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided a second argument which is not an ndarray-like object', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{},
+		[],
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			assign( x, value );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options argument which is not an object', function test( t ) {
+	var values;
+	var x;
+	var y;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+	y = empty( [ 2 ], {
+		'dtype': 'bool'
+	});
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		[]
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			assign( x, y, value );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options with invalid `dims` property', function test( t ) {
+	var values;
+	var x;
+	var y;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+	y = empty( [ 2 ], {
+		'dtype': 'bool'
+	});
+
+	values = [
+		'5',
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			var opts = {
+				'dims': value
+			};
+			assign( x, y, opts );
+		};
+	}
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var x;
+	var y;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ), [ 4 ], [ 1 ], 0, 'row-major' );
+	y = empty( [], {
+		'dtype': 'bool'
+	});
+
+	actual = assign( x, y );
+	expected = true;
+
+	t.strictEqual( actual, y, 'returns expected value' );
+	t.strictEqual( actual.get(), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous, options)', function test( t ) {
+	var expected;
+	var actual;
+	var opts;
+	var x;
+	var y;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, -5.0, 0.0, -7.0, 0.0 ] ), [ 2, 4 ], [ 4, 1 ], 0, 'row-major' );
+
+	opts = {
+		'dims': [ 0 ]
+	};
+	y = empty( [ 4 ], {
+		'dtype': 'bool'
+	});
+	actual = assign( x, y, opts );
+	expected = [ true, false, true, false ];
+	t.strictEqual( actual, y, 'returns expected value' );
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var x;
+	var y;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
+	y = empty( [], {
+		'dtype': 'bool'
+	});
+
+	actual = assign( x, y );
+	expected = true;
+
+	t.strictEqual( actual, y, 'returns expected value' );
+	t.strictEqual( actual.get(), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous, options)', function test( t ) {
+	var expected;
+	var actual;
+	var opts;
+	var x;
+	var y;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, 5.0, 0.0, 7.0, 0.0 ] ), [ 2, 4 ], [ 1, 2 ], 0, 'column-major' );
+
+	opts = {
+		'dims': [ 1 ]
+	};
+	y = empty( [ 2 ], {
+		'dtype': 'bool'
+	});
+	actual = assign( x, y, opts );
+	expected = [ true, false ];
+
+	t.strictEqual( actual, y, 'returns expected value' );
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/any/test/test.js b/lib/node_modules/@stdlib/ndarray/any/test/test.js
new file mode 100644
index 000000000000..db4771678f46
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/test/test.js
@@ -0,0 +1,39 @@
+/**
+* @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 isMethod = require( '@stdlib/assert/is-method' );
+var any = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof any, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is an `assign` method', function test( t ) {
+	t.strictEqual( isMethod( any, 'assign' ), true, 'returns expected value' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/any/test/test.main.js b/lib/node_modules/@stdlib/ndarray/any/test/test.main.js
new file mode 100644
index 000000000000..524fb6b0cd5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/any/test/test.main.js
@@ -0,0 +1,337 @@
+/**
+* @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 Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var empty = require( '@stdlib/ndarray/empty' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var any = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof any, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an ndarray-like object', function test( t ) {
+	var values;
+	var i;
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{},
+		[],
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			any( value );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options argument which is not an object', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		[]
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			any( x, value );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options with invalid `dims` property', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		'5',
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			var opts = {
+				'dims': value
+			};
+			any( x, opts );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options with an out-of-bounds `dims` property', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		[ 1, 3 ],
+		[ 3, 0 ],
+		[ 0, 2 ]
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			var opts = {
+				'dims': value
+			};
+			any( x, opts );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options with `dims` property which contains duplicate dimensions', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		[ 0, 0 ],
+		[ 1, 1 ]
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			var opts = {
+				'dims': value
+			};
+			any( x, opts );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options with `dims` property which contains dimensions more than input ndarray', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		[ 0, 1, 2 ],
+		[ 0, 1, 2, 3 ],
+		[ 0, 1, 2, 3, 4 ]
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			var opts = {
+				'dims': value
+			};
+			any( x, opts );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an options with invalid `keepdims` property', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		'5',
+		5,
+		NaN,
+		null,
+		void 0,
+		{}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			var opts = {
+				'keepdims': value
+			};
+			any( x, opts );
+		};
+	}
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var x;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ), [ 4 ], [ 1 ], 0, 'row-major' );
+
+	actual = any( x );
+	expected = true;
+
+	t.strictEqual( actual.get(), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous, options)', function test( t ) {
+	var expected;
+	var actual;
+	var opts;
+	var x;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, -5.0, 0.0, -7.0, 0.0 ] ), [ 2, 4 ], [ 4, 1 ], 0, 'row-major' );
+
+	opts = {
+		'dims': [ 0 ]
+	};
+	actual = any( x, opts );
+	expected = [ true, false, true, false ];
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+
+	opts = {
+		'dims': [ 0 ],
+		'keepdims': true
+	};
+	actual = any( x, opts );
+	expected = [ [ true, false, true, false ] ];
+
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous)', function test( t ) {
+	var expected;
+	var actual;
+	var x;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
+
+	actual = any( x );
+	expected = true;
+
+	t.strictEqual( actual.get(), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous, options)', function test( t ) {
+	var expected;
+	var actual;
+	var opts;
+	var x;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, 5.0, 0.0, 7.0, 0.0 ] ), [ 2, 4 ], [ 1, 2 ], 0, 'column-major' );
+
+	opts = {
+		'dims': [ 1 ]
+	};
+	actual = any( x, opts );
+	expected = [ true, false ];
+
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+
+	opts = {
+		'dims': [ 1 ],
+		'keepdims': true
+	};
+	actual = any( x, opts );
+	expected = [ [ true ], [ false ] ];
+
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+
+	t.end();
+});

From 6d4ff69f4aeb35880295262f5b6b212286afdb51 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 21 Sep 2025 17:11:39 -0700
Subject: [PATCH 2/3] chore: clean-up

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: passed
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/ndarray/any/README.md             |   2 +-
 .../ndarray/any/benchmark/benchmark.1d.js     |  13 +-
 .../ndarray/any/benchmark/benchmark.2d.js     |  13 +-
 .../@stdlib/ndarray/any/docs/types/test.ts    |   2 +-
 .../@stdlib/ndarray/any/examples/index.js     |   2 +-
 .../@stdlib/ndarray/any/package.json          |   2 +-
 .../@stdlib/ndarray/any/test/test.assign.js   | 113 ++++++++++++++----
 .../@stdlib/ndarray/any/test/test.main.js     |  83 +++++++++----
 8 files changed, 163 insertions(+), 67 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/any/README.md b/lib/node_modules/@stdlib/ndarray/any/README.md
index d17744ac203d..26170d3f2d30 100644
--- a/lib/node_modules/@stdlib/ndarray/any/README.md
+++ b/lib/node_modules/@stdlib/ndarray/any/README.md
@@ -198,7 +198,7 @@ var any = require( '@stdlib/ndarray/any' );
 var x = zeros( [ 2, 4, 5 ], {
     'dtype': 'float64'
 });
-x = fillBy( x, bernoulli( 0.50 ) );
+x = fillBy( x, bernoulli( 0.10 ) );
 console.log( ndarray2array( x ) );
 
 var y = any( x );
diff --git a/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js
index 2880678513f2..38ec63f95d1c 100644
--- a/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js
+++ b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.1d.js
@@ -23,9 +23,7 @@
 var bench = require( '@stdlib/bench' );
 var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
 var pow = require( '@stdlib/math/base/special/pow' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var ndarray = require( '@stdlib/ndarray/ctor' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var pkg = require( './../package.json' ).name;
 var any = require( './../lib' );
 
@@ -50,11 +48,10 @@ var orders = [ 'row-major', 'column-major' ];
 * @returns {Function} benchmark function
 */
 function createBenchmark( len, shape, xtype, order, dims ) {
-	var x;
-
-	x = discreteUniform( len, -1, -100 );
-	x = new ndarray( xtype, x, shape, shape2strides( shape, order ), 0, order );
-
+	var x = zeros( shape, {
+		'dtype': xtype,
+		'order': order
+	});
 	return benchmark;
 
 	/**
diff --git a/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js
index 1debc01b4396..0a1407a01c9e 100644
--- a/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js
+++ b/lib/node_modules/@stdlib/ndarray/any/benchmark/benchmark.2d.js
@@ -25,9 +25,7 @@ var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var ndarray = require( '@stdlib/ndarray/ctor' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var pkg = require( './../package.json' ).name;
 var any = require( './../lib' );
 
@@ -52,11 +50,10 @@ var orders = [ 'row-major', 'column-major' ];
 * @returns {Function} benchmark function
 */
 function createBenchmark( len, shape, xtype, order, dims ) {
-	var x;
-
-	x = discreteUniform( len, -1, -100 );
-	x = new ndarray( xtype, x, shape, shape2strides( shape, order ), 0, order );
-
+	var x = zeros( shape, {
+		'dtype': xtype,
+		'order': order
+	});
 	return benchmark;
 
 	/**
diff --git a/lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts
index 28d9e43d4f33..f291873ee778 100644
--- a/lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/ndarray/any/docs/types/test.ts
@@ -25,7 +25,7 @@ import any = require( './index' );
 
 // TESTS //
 
-// The function returns an boolean ndarray...
+// The function returns a boolean ndarray...
 {
 	const x = zeros( [ 2, 2 ] );
 
diff --git a/lib/node_modules/@stdlib/ndarray/any/examples/index.js b/lib/node_modules/@stdlib/ndarray/any/examples/index.js
index ae1073a941c6..b1d55a42ed1d 100644
--- a/lib/node_modules/@stdlib/ndarray/any/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/any/examples/index.js
@@ -27,7 +27,7 @@ var any = require( './../lib' );
 var x = zeros( [ 2, 4, 5 ], {
 	'dtype': 'float64'
 });
-x = fillBy( x, bernoulli( 0.50 ) );
+x = fillBy( x, bernoulli( 0.10 ) );
 console.log( ndarray2array( x ) );
 
 var y = any( x );
diff --git a/lib/node_modules/@stdlib/ndarray/any/package.json b/lib/node_modules/@stdlib/ndarray/any/package.json
index 949ddb5868d3..1742c3eaf0b6 100644
--- a/lib/node_modules/@stdlib/ndarray/any/package.json
+++ b/lib/node_modules/@stdlib/ndarray/any/package.json
@@ -54,7 +54,7 @@
     "array",
     "ndarray",
     "any",
-    "one",
+    "some",
     "utility",
     "utils",
     "truthy",
diff --git a/lib/node_modules/@stdlib/ndarray/any/test/test.assign.js b/lib/node_modules/@stdlib/ndarray/any/test/test.assign.js
index 4466c0d8f732..e1410253a457 100644
--- a/lib/node_modules/@stdlib/ndarray/any/test/test.assign.js
+++ b/lib/node_modules/@stdlib/ndarray/any/test/test.assign.js
@@ -70,6 +70,40 @@ tape( 'the function throws an error if provided a first argument which is not an
 	}
 });
 
+tape( 'the function throws an error if provided a first argument which is not an ndarray-like object (options)', function test( t ) {
+	var values;
+	var y;
+	var i;
+
+	y = empty( [], {
+		'dtype': 'bool'
+	});
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{},
+		[],
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			assign( value, y, {} );
+		};
+	}
+});
+
 tape( 'the function throws an error if provided a second argument which is not an ndarray-like object', function test( t ) {
 	var values;
 	var x;
@@ -104,6 +138,40 @@ tape( 'the function throws an error if provided a second argument which is not a
 	}
 });
 
+tape( 'the function throws an error if provided a second argument which is not an ndarray-like object (options)', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = empty( [ 2, 2 ], {
+		'dtype': 'float64'
+	});
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{},
+		[],
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			assign( x, value, {} );
+		};
+	}
+});
+
 tape( 'the function throws an error if provided an options argument which is not an object', function test( t ) {
 	var values;
 	var x;
@@ -125,7 +193,8 @@ tape( 'the function throws an error if provided an options argument which is not
 		false,
 		null,
 		void 0,
-		[]
+		[],
+		function noop() {}
 	];
 
 	for ( i = 0; i < values.length; i++ ) {
@@ -178,7 +247,7 @@ tape( 'the function throws an error if provided an options with invalid `dims` p
 	}
 });
 
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous)', function test( t ) {
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major)', function test( t ) {
 	var expected;
 	var actual;
 	var x;
@@ -197,48 +266,48 @@ tape( 'the function tests whether at least one element along one or more ndarray
 	t.end();
 });
 
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous, options)', function test( t ) {
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major)', function test( t ) {
 	var expected;
 	var actual;
-	var opts;
 	var x;
 	var y;
 
-	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, -5.0, 0.0, -7.0, 0.0 ] ), [ 2, 4 ], [ 4, 1 ], 0, 'row-major' );
-
-	opts = {
-		'dims': [ 0 ]
-	};
-	y = empty( [ 4 ], {
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
+	y = empty( [], {
 		'dtype': 'bool'
 	});
-	actual = assign( x, y, opts );
-	expected = [ true, false, true, false ];
+
+	actual = assign( x, y );
+	expected = true;
+
 	t.strictEqual( actual, y, 'returns expected value' );
-	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
+	t.strictEqual( actual.get(), expected, 'returns expected value' );
 	t.end();
 });
 
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous)', function test( t ) {
+tape( 'the function supports specifying reduction dimensions (row-major)', function test( t ) {
 	var expected;
 	var actual;
+	var opts;
 	var x;
 	var y;
 
-	x = new ndarray( 'float64', new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
-	y = empty( [], {
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0, -5.0, 0.0, -7.0, 0.0 ] ), [ 2, 4 ], [ 4, 1 ], 0, 'row-major' );
+
+	opts = {
+		'dims': [ 0 ]
+	};
+	y = empty( [ 4 ], {
 		'dtype': 'bool'
 	});
-
-	actual = assign( x, y );
-	expected = true;
-
+	actual = assign( x, y, opts );
+	expected = [ true, false, true, false ];
 	t.strictEqual( actual, y, 'returns expected value' );
-	t.strictEqual( actual.get(), expected, 'returns expected value' );
+	t.deepEqual( ndarray2array( actual ), expected, 'returns expected value' );
 	t.end();
 });
 
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous, options)', function test( t ) {
+tape( 'the function supports specifying reduction dimensions (column-major)', function test( t ) {
 	var expected;
 	var actual;
 	var opts;
diff --git a/lib/node_modules/@stdlib/ndarray/any/test/test.main.js b/lib/node_modules/@stdlib/ndarray/any/test/test.main.js
index 524fb6b0cd5c..72d5471c5982 100644
--- a/lib/node_modules/@stdlib/ndarray/any/test/test.main.js
+++ b/lib/node_modules/@stdlib/ndarray/any/test/test.main.js
@@ -65,6 +65,35 @@ tape( 'the function throws an error if provided a first argument which is not an
 	}
 });
 
+tape( 'the function throws an error if provided a first argument which is not an ndarray-like object (options)', function test( t ) {
+	var values;
+	var i;
+
+	values = [
+		'5',
+		5,
+		NaN,
+		true,
+		false,
+		null,
+		void 0,
+		{},
+		[],
+		function noop() {}
+	];
+
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			any( value, {} );
+		};
+	}
+});
+
 tape( 'the function throws an error if provided an options argument which is not an object', function test( t ) {
 	var values;
 	var x;
@@ -82,7 +111,8 @@ tape( 'the function throws an error if provided an options argument which is not
 		false,
 		null,
 		void 0,
-		[]
+		[],
+		function noop() {}
 	];
 
 	for ( i = 0; i < values.length; i++ ) {
@@ -97,7 +127,7 @@ tape( 'the function throws an error if provided an options argument which is not
 	}
 });
 
-tape( 'the function throws an error if provided an options with invalid `dims` property', function test( t ) {
+tape( 'the function throws an error if provided an options argument with invalid `dims` property', function test( t ) {
 	var values;
 	var x;
 	var i;
@@ -113,7 +143,8 @@ tape( 'the function throws an error if provided an options with invalid `dims` p
 		false,
 		null,
 		void 0,
-		{}
+		{},
+		function noop() {}
 	];
 
 	for ( i = 0; i < values.length; i++ ) {
@@ -131,7 +162,7 @@ tape( 'the function throws an error if provided an options with invalid `dims` p
 	}
 });
 
-tape( 'the function throws an error if provided an options with an out-of-bounds `dims` property', function test( t ) {
+tape( 'the function throws an error if provided an options argument with a `dims` property which contains out-of-bounds dimensions', function test( t ) {
 	var values;
 	var x;
 	var i;
@@ -161,7 +192,7 @@ tape( 'the function throws an error if provided an options with an out-of-bounds
 	}
 });
 
-tape( 'the function throws an error if provided an options with `dims` property which contains duplicate dimensions', function test( t ) {
+tape( 'the function throws an error if provided an options argument with `dims` property which contains duplicate dimensions', function test( t ) {
 	var values;
 	var x;
 	var i;
@@ -190,7 +221,7 @@ tape( 'the function throws an error if provided an options with `dims` property
 	}
 });
 
-tape( 'the function throws an error if provided an options with `dims` property which contains dimensions more than input ndarray', function test( t ) {
+tape( 'the function throws an error if provided an options argument with `dims` property which contains more dimensions than are present in the input ndarray', function test( t ) {
 	var values;
 	var x;
 	var i;
@@ -220,7 +251,7 @@ tape( 'the function throws an error if provided an options with `dims` property
 	}
 });
 
-tape( 'the function throws an error if provided an options with invalid `keepdims` property', function test( t ) {
+tape( 'the function throws an error if provided an options argument with invalid `keepdims` property', function test( t ) {
 	var values;
 	var x;
 	var i;
@@ -235,7 +266,9 @@ tape( 'the function throws an error if provided an options with invalid `keepdim
 		NaN,
 		null,
 		void 0,
-		{}
+		{},
+		[],
+		function noop() {}
 	];
 
 	for ( i = 0; i < values.length; i++ ) {
@@ -253,7 +286,7 @@ tape( 'the function throws an error if provided an options with invalid `keepdim
 	}
 });
 
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous)', function test( t ) {
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major)', function test( t ) {
 	var expected;
 	var actual;
 	var x;
@@ -267,7 +300,21 @@ tape( 'the function tests whether at least one element along one or more ndarray
 	t.end();
 });
 
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (row-major, contiguous, options)', function test( t ) {
+tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major)', function test( t ) {
+	var expected;
+	var actual;
+	var x;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
+
+	actual = any( x );
+	expected = true;
+
+	t.strictEqual( actual.get(), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports specifying reduction dimensions (row-major)', function test( t ) {
 	var expected;
 	var actual;
 	var opts;
@@ -294,21 +341,7 @@ tape( 'the function tests whether at least one element along one or more ndarray
 	t.end();
 });
 
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous)', function test( t ) {
-	var expected;
-	var actual;
-	var x;
-
-	x = new ndarray( 'float64', new Float64Array( [ 1.0, 0.0, 3.0, 0.0 ] ), [ 4 ], [ 1 ], 0, 'column-major' );
-
-	actual = any( x );
-	expected = true;
-
-	t.strictEqual( actual.get(), expected, 'returns expected value' );
-	t.end();
-});
-
-tape( 'the function tests whether at least one element along one or more ndarray dimensions is truthy (column-major, contiguous, options)', function test( t ) {
+tape( 'the function supports specifying reduction dimensions (column-major)', function test( t ) {
 	var expected;
 	var actual;
 	var opts;

From 59832c765f54a715d636129716e27213800ee1ce Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 21 Sep 2025 17:17:03 -0700
Subject: [PATCH 3/3] refactor: remove unreachable path

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 lib/node_modules/@stdlib/ndarray/any/lib/main.js     | 2 +-
 lib/node_modules/@stdlib/ndarray/any/lib/validate.js | 3 ---
 2 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/any/lib/main.js b/lib/node_modules/@stdlib/ndarray/any/lib/main.js
index 3db9fcac0866..8fbe5a681dc4 100644
--- a/lib/node_modules/@stdlib/ndarray/any/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/any/lib/main.js
@@ -53,7 +53,7 @@ var validate = require( './validate.js' );
 * @throws {TypeError} first argument must be an ndarray-like object
 * @throws {TypeError} options argument must be an object
 * @throws {RangeError} dimension indices must not exceed input ndarray bounds
-* @throws {RangeError} number of dimension indices must not exceed the number of input ndarray dimensions
+* @throws {Error} dimension indices must be unique
 * @throws {Error} must provide valid options
 * @returns {ndarray} output ndarray
 *
diff --git a/lib/node_modules/@stdlib/ndarray/any/lib/validate.js b/lib/node_modules/@stdlib/ndarray/any/lib/validate.js
index fe5c7b00edc0..b7985b72461f 100644
--- a/lib/node_modules/@stdlib/ndarray/any/lib/validate.js
+++ b/lib/node_modules/@stdlib/ndarray/any/lib/validate.js
@@ -76,9 +76,6 @@ function validate( opts, ndims, options ) {
 		if ( tmp.length !== opts.dims.length ) {
 			return new Error( format( 'invalid option. `%s` option contains duplicate indices. Option: [%s].', 'dims', join( opts.dims, ',' ) ) );
 		}
-		if ( tmp.length > ndims ) {
-			return new RangeError( format( 'invalid option. `%s` option specifies more dimensions than exists in the input array. Number of dimensions: %d. Option: [%s].', 'dims', ndims, join( opts.dims, ',' ) ) );
-		}
 		opts.dims = tmp;
 	}
 	return null;