diff --git a/lib/node_modules/@stdlib/ndarray/base/any/README.md b/lib/node_modules/@stdlib/ndarray/base/any/README.md
new file mode 100644
index 000000000000..8021d15623f0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/README.md
@@ -0,0 +1,146 @@
+<!--
+
+@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 in an ndarray is truthy.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var any = require( '@stdlib/ndarray/base/any' );
+```
+
+#### any( arrays )
+
+Tests whether at least one element in an ndarray is truthy.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// 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 = 0;
+
+// Create the input ndarray-like object:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': shape,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Test elements:
+var out = any( [ x ] );
+// returns true
+```
+
+The function accepts the following arguments:
+
+-   **arrays**: array-like object containing an input ndarray.
+
+The provided ndarray should be an `object` with the following properties:
+
+-   **dtype**: data type.
+-   **data**: data buffer.
+-   **shape**: dimensions.
+-   **strides**: stride lengths.
+-   **offset**: index offset.
+-   **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before performing the operation in order to achieve better performance.
+-   If provided an empty ndarray, the function returns `false`.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var bernoulli = require( '@stdlib/random/array/bernoulli' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var any = require( '@stdlib/ndarray/base/any' );
+
+var x = {
+    'dtype': 'generic',
+    'data': bernoulli( 10, 0.9, {
+        'dtype': 'generic'
+    }),
+    'shape': [ 5, 2 ],
+    'strides': [ 2, 1 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+
+var out = any( [ x ] );
+console.log( out );
+```
+
+</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">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_rowmajor.js
similarity index 93%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.1d_rowmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_rowmajor.js
index 98a753743bff..3a7c457abde4 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.1d_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.1d_rowmajor.js
@@ -23,10 +23,10 @@
 var bench = require( '@stdlib/bench' );
 var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 var pow = require( '@stdlib/math/base/special/pow' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib' );
+var any = require( './../lib' );
 
 
 // VARIABLES //
@@ -49,7 +49,7 @@ var order = 'row-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -72,7 +72,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( [ x ] );
+			out = any( [ x ] );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_columnmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_blocked_columnmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_columnmajor.js
index 11ca50fcb8fe..8004a0db3986 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_blocked_columnmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_columnmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 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 zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/2d_blocked.js' );
+var any = require( './../lib/2d_blocked.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'column-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_rowmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_blocked_rowmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_rowmajor.js
index 1f21b678284e..a9d6bc45fb49 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_blocked_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_blocked_rowmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 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 zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/2d_blocked.js' );
+var any = require( './../lib/2d_blocked.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'row-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_columnmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_columnmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_columnmajor.js
index 80c50c4a081d..cb5032322d81 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_columnmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_columnmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 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 zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/2d.js' );
+var any = require( './../lib/2d.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'column-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor.js
index d781f3797128..9601b5214d45 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 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 zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/2d.js' );
+var any = require( './../lib/2d.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'row-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor_accessors.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor_accessors.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor_accessors.js
index 2847079beb40..927aae280493 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.2d_rowmajor_accessors.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 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 zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/2d_accessors.js' );
+var any = require( './../lib/2d_accessors.js' );
 
 
 // VARIABLES //
@@ -75,7 +75,7 @@ function set( buf, idx, value ) {
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -100,7 +100,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_columnmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_blocked_columnmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_columnmajor.js
index 479b81e31846..d754df7cca6f 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_blocked_columnmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_columnmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 var pow = require( '@stdlib/math/base/special/pow' );
 var cbrt = require( '@stdlib/math/base/special/cbrt' );
 var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/3d_blocked.js' );
+var any = require( './../lib/3d_blocked.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'column-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_rowmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_blocked_rowmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_rowmajor.js
index 78648e8faf42..e810430eca5d 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_blocked_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_blocked_rowmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 var pow = require( '@stdlib/math/base/special/pow' );
 var cbrt = require( '@stdlib/math/base/special/cbrt' );
 var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/3d_blocked.js' );
+var any = require( './../lib/3d_blocked.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'row-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_columnmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_columnmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_columnmajor.js
index c35a1a4743bf..fc3128bfe838 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_columnmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_columnmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 var pow = require( '@stdlib/math/base/special/pow' );
 var cbrt = require( '@stdlib/math/base/special/cbrt' );
 var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/3d.js' );
+var any = require( './../lib/3d.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'column-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_rowmajor.js
similarity index 94%
rename from lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_rowmajor.js
rename to lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_rowmajor.js
index cc9d8354d230..84a86c6a4566 100644
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.3d_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/any/benchmark/benchmark.3d_rowmajor.js
@@ -25,10 +25,10 @@ var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
 var pow = require( '@stdlib/math/base/special/pow' );
 var cbrt = require( '@stdlib/math/base/special/cbrt' );
 var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var zeros = require( '@stdlib/array/zeros' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
 var pkg = require( './../package.json' ).name;
-var every = require( './../lib/3d.js' );
+var any = require( './../lib/3d.js' );
 
 
 // VARIABLES //
@@ -51,7 +51,7 @@ var order = 'row-major';
 function createBenchmark( len, shape, xtype ) {
 	var x;
 
-	x = discreteUniform( len, 1, 100 );
+	x = zeros( len, xtype );
 	x = {
 		'dtype': xtype,
 		'data': x,
@@ -74,7 +74,7 @@ function createBenchmark( len, shape, xtype ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			out = every( x );
+			out = any( x );
 			if ( typeof out !== 'boolean' ) {
 				b.fail( 'should return a boolean' );
 			}
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/any/docs/repl.txt
new file mode 100644
index 000000000000..c1d7ddd3460c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/docs/repl.txt
@@ -0,0 +1,56 @@
+
+{{alias}}( arrays )
+    Tests whether at least one element in an ndarray is truthy.
+
+    A provided "ndarray" should be an `object` with the following properties:
+
+    - dtype: data type.
+    - data: data buffer.
+    - shape: dimensions.
+    - strides: stride lengths.
+    - offset: index offset.
+    - order: specifies whether an ndarray is row-major (C-style) or column-major
+    (Fortran-style).
+
+    If provided an empty ndarray, the function returns `false`.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing an input ndarray.
+
+    Returns
+    -------
+    out: boolean
+        Boolean indicating whether at least one element in an ndarray is truthy.
+
+    Examples
+    --------
+    // Define ndarray data and meta data...
+    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, 0.0, 1.0, 0.0 ] );
+    > var dt = 'float64';
+    > var sh = [ 2, 2 ];
+    > var sx = [ 2, 1 ];
+    > var ox = 0;
+    > var ord = 'row-major';
+
+    // Using an ndarray...
+    > var x = {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
+    > {{alias}}( [ x ] )
+    true
+
+    // Using a minimal ndarray-like object...
+    > xbuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+    > x = {
+    ...     'dtype': dt,
+    ...     'data': xbuf,
+    ...     'shape': sh,
+    ...     'strides': sx,
+    ...     'offset': ox,
+    ...     'order': ord
+    ... };
+    > {{alias}}( [ x ] )
+    false
+
+    See Also
+    --------
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/index.d.ts
new file mode 100644
index 000000000000..eb3a9318f855
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/index.d.ts
@@ -0,0 +1,59 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { ArrayLike } from '@stdlib/types/array';
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @param arrays - array-like object containing an input ndarray
+* @returns boolean indicating whether at least one element is truthy
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // 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 array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray:
+* var x = ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+*
+* // Test elements:
+* var out = any( [ x ] );
+* // returns true
+*/
+declare function any<T = unknown>( arrays: ArrayLike<typedndarray<T>> ): boolean;
+
+
+// EXPORTS //
+
+export = any;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/test.ts
new file mode 100644
index 000000000000..8ef3d9e95b74
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/docs/types/test.ts
@@ -0,0 +1,54 @@
+/*
+* @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 any = require( './index' );
+
+
+// TESTS //
+
+// The function returns a boolean...
+{
+	const x = zeros( [ 2, 2 ] );
+	const arrays = [ x ];
+
+	any( arrays ); // $ExpectType boolean
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array-like object containing ndarray-like objects...
+{
+	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 an unsupported number of arguments...
+{
+	const x = zeros( [ 2, 2 ] );
+	const arrays = [ x ];
+
+	any(); // $ExpectError
+	any( arrays, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/any/examples/index.js
new file mode 100644
index 000000000000..df00c79ffdc6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/examples/index.js
@@ -0,0 +1,38 @@
+/**
+* @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/array/bernoulli' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var any = require( './../lib' );
+
+var x = {
+	'dtype': 'generic',
+	'data': bernoulli( 10, 0.9, {
+		'dtype': 'generic'
+	}),
+	'shape': [ 5, 2 ],
+	'strides': [ 2, 1 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+
+var out = any( [ x ] );
+console.log( out );
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d.js
new file mode 100644
index 000000000000..9c0eef508b86
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d.js
@@ -0,0 +1,75 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any0d( x );
+* // returns true
+*/
+function any0d( x ) {
+	if ( x.data[ x.offset ] ) {
+		return true;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_accessors.js
new file mode 100644
index 000000000000..e42e68d3a6b8
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_accessors.js
@@ -0,0 +1,78 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @returns {boolean} result
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any0d( x );
+* // returns true
+*/
+function any0d( x ) {
+	if ( x.accessors[ 0 ]( x.data, x.offset ) ) {
+		return true;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_complex.js
new file mode 100644
index 000000000000..69141b8d3fcf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/0d_complex.js
@@ -0,0 +1,75 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element of a reinterpreted complex number ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'complex128',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any0d( x );
+* // returns true
+*/
+function any0d( x ) {
+	if ( x.data[ x.offset ] || x.data[ x.offset+1 ] ) {
+		return true;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d.js
new file mode 100644
index 000000000000..ad4a3cfd28c2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d.js
@@ -0,0 +1,97 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 2 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any1d( x );
+* // returns true
+*/
+function any1d( x ) {
+	var xbuf;
+	var dx0;
+	var S0;
+	var ix;
+	var i0;
+
+	// Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables: dimensions and loop offset (pointer) increments:
+	S0 = x.shape[ 0 ];
+	dx0 = x.strides[ 0 ];
+
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		if ( xbuf[ ix ] ) {
+			return true;
+		}
+		ix += dx0;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_accessors.js
new file mode 100644
index 000000000000..4108196fc8aa
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_accessors.js
@@ -0,0 +1,104 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @returns {boolean} result
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any1d( x );
+* // returns true
+*/
+function any1d( x ) {
+	var xbuf;
+	var get;
+	var dx0;
+	var S0;
+	var ix;
+	var i0;
+
+	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables: dimensions and loop offset (pointer) increments...
+	S0 = x.shape[ 0 ];
+	dx0 = x.strides[ 0 ];
+
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache accessor:
+	get = x.accessors[ 0 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		if ( get( xbuf, ix ) ) {
+			return true;
+		}
+		ix += dx0;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_complex.js
new file mode 100644
index 000000000000..af3a8785882e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/1d_complex.js
@@ -0,0 +1,97 @@
+/**
+* @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';
+
+// MAIN //
+
+/**
+* Tests whether at least one element of a reinterpreted complex number ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 2 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'complex128',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any1d( x );
+* // returns true
+*/
+function any1d( x ) {
+	var xbuf;
+	var dx0;
+	var S0;
+	var ix;
+	var i0;
+
+	// Note on variable naming convention: S#, dx#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables: dimensions and loop offset (pointer) increments:
+	S0 = x.shape[ 0 ];
+	dx0 = x.strides[ 0 ];
+
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) {
+			return true;
+		}
+		ix += dx0;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d.js
new file mode 100644
index 000000000000..37c1bba8913b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d.js
@@ -0,0 +1,122 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any2d( x );
+* // returns true
+*/
+function any2d( x ) {
+	var xbuf;
+	var dx0;
+	var dx1;
+	var sh;
+	var S0;
+	var S1;
+	var sx;
+	var ix;
+	var i0;
+	var i1;
+
+	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+	sh = x.shape;
+	sx = x.strides;
+	if ( strides2order( sx ) === 1 ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 1 ];
+		S1 = sh[ 0 ];
+		dx0 = sx[ 1 ];                // offset increment for innermost loop
+		dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for outermost loop
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		dx0 = sx[ 0 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for outermost loop
+	}
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			if ( xbuf[ ix ] ) {
+				return true;
+			}
+			ix += dx0;
+		}
+		ix += dx1;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_accessors.js
new file mode 100644
index 000000000000..5b1f8e814e44
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_accessors.js
@@ -0,0 +1,129 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var strides2order = require( '@stdlib/ndarray/base/strides2order' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @returns {boolean} result
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any2d( x );
+* // returns true
+*/
+function any2d( x ) {
+	var xbuf;
+	var get;
+	var dx0;
+	var dx1;
+	var sh;
+	var S0;
+	var S1;
+	var sx;
+	var ix;
+	var i0;
+	var i1;
+
+	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+	sh = x.shape;
+	sx = x.strides;
+	if ( strides2order( sx ) === 1 ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 1 ];
+		S1 = sh[ 0 ];
+		dx0 = sx[ 1 ];                // offset increment for innermost loop
+		dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for outermost loop
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		dx0 = sx[ 0 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for outermost loop
+	}
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache accessor:
+	get = x.accessors[ 0 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			if ( get( xbuf, ix ) ) {
+				return true;
+			}
+			ix += dx0;
+		}
+		ix += dx1;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked.js
new file mode 100644
index 000000000000..f750689667c3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked.js
@@ -0,0 +1,150 @@
+/**
+* @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 loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = blockedany2d( x );
+* // returns true
+*/
+function blockedany2d( x ) {
+	var bsize;
+	var xbuf;
+	var dx0;
+	var dx1;
+	var ox1;
+	var sh;
+	var s0;
+	var s1;
+	var sx;
+	var ox;
+	var ix;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var o;
+
+	// Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( x.shape, x.strides );
+	sh = o.sh;
+	sx = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Set a pointer to the first indexed element:
+	ox = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache the offset increment for the innermost loop:
+	dx0 = sx[0];
+
+	// Iterate over blocks...
+	for ( j1 = sh[1]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		ox1 = ox + ( j1*sx[1] );
+		for ( j0 = sh[0]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute the index offset for the first input ndarray element in the current block:
+			ix = ox1 + ( j0*sx[0] );
+
+			// Compute the loop offset increment:
+			dx1 = sx[1] - ( s0*sx[0] );
+
+			// Iterate over the ndarray dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					if ( xbuf[ ix ] ) {
+						return true;
+					}
+					ix += dx0;
+				}
+				ix += dx1;
+			}
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_accessors.js
new file mode 100644
index 000000000000..5843d7c1b2d2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_accessors.js
@@ -0,0 +1,157 @@
+/**
+* @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 loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @returns {boolean} result
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = blockedany2d( x );
+* // returns true
+*/
+function blockedany2d( x ) {
+	var bsize;
+	var xbuf;
+	var get;
+	var dx0;
+	var dx1;
+	var ox1;
+	var sh;
+	var s0;
+	var s1;
+	var sx;
+	var ox;
+	var ix;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var o;
+
+	// Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( x.shape, x.strides );
+	sh = o.sh;
+	sx = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Set a pointer to the first indexed element:
+	ox = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache the offset increment for the innermost loop:
+	dx0 = sx[0];
+
+	// Cache accessor:
+	get = x.accessors[0];
+
+	// Iterate over blocks...
+	for ( j1 = sh[1]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		ox1 = ox + ( j1*sx[1] );
+		for ( j0 = sh[0]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute the index offset for the first input ndarray element in the current block:
+			ix = ox1 + ( j0*sx[0] );
+
+			// Compute the loop offset increment:
+			dx1 = sx[1] - ( s0*sx[0] );
+
+			// Iterate over the ndarray dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					if ( get( xbuf, ix ) ) {
+						return true;
+					}
+					ix += dx0;
+				}
+				ix += dx1;
+			}
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_complex.js
new file mode 100644
index 000000000000..5f0f4a271e01
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_blocked_complex.js
@@ -0,0 +1,150 @@
+/**
+* @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 loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'complex128',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = blockedany2d( x );
+* // returns true
+*/
+function blockedany2d( x ) {
+	var bsize;
+	var xbuf;
+	var dx0;
+	var dx1;
+	var ox1;
+	var sh;
+	var s0;
+	var s1;
+	var sx;
+	var ox;
+	var ix;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var o;
+
+	// Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( x.shape, x.strides );
+	sh = o.sh;
+	sx = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Set a pointer to the first indexed element:
+	ox = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache the offset increment for the innermost loop:
+	dx0 = sx[0];
+
+	// Iterate over blocks...
+	for ( j1 = sh[1]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		ox1 = ox + ( j1*sx[1] );
+		for ( j0 = sh[0]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute the index offset for the first input ndarray element in the current block:
+			ix = ox1 + ( j0*sx[0] );
+
+			// Compute the loop offset increment:
+			dx1 = sx[1] - ( s0*sx[0] );
+
+			// Iterate over the ndarray dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) {
+						return true;
+					}
+					ix += dx0;
+				}
+				ix += dx1;
+			}
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_complex.js
new file mode 100644
index 000000000000..a7e2a064e511
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/2d_complex.js
@@ -0,0 +1,122 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element of a reinterpreted complex number ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'complex128',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any2d( x );
+* // returns true
+*/
+function any2d( x ) {
+	var xbuf;
+	var dx0;
+	var dx1;
+	var sh;
+	var S0;
+	var S1;
+	var sx;
+	var ix;
+	var i0;
+	var i1;
+
+	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+	sh = x.shape;
+	sx = x.strides;
+	if ( strides2order( sx ) === 1 ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 1 ];
+		S1 = sh[ 0 ];
+		dx0 = sx[ 1 ];                // offset increment for innermost loop
+		dx1 = sx[ 0 ] - ( S0*sx[1] ); // offset increment for outermost loop
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		dx0 = sx[ 0 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[0] ); // offset increment for outermost loop
+	}
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) {
+				return true;
+			}
+			ix += dx0;
+		}
+		ix += dx1;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d.js
new file mode 100644
index 000000000000..ed182389ac50
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d.js
@@ -0,0 +1,132 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // 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 the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any3d( x );
+* // returns true
+*/
+function any3d( x ) {
+	var xbuf;
+	var dx0;
+	var dx1;
+	var dx2;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var sx;
+	var ix;
+	var i0;
+	var i1;
+	var i2;
+
+	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+	sh = x.shape;
+	sx = x.strides;
+	if ( strides2order( sx ) === 1 ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 2 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 0 ];
+		dx0 = sx[ 2 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[2] );
+		dx2 = sx[ 0 ] - ( S1*sx[1] ); // offset increment for outermost loop
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 2 ];
+		dx0 = sx[ 0 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] ); // offset increment for outermost loop
+	}
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i2 = 0; i2 < S2; i2++ ) {
+		for ( i1 = 0; i1 < S1; i1++ ) {
+			for ( i0 = 0; i0 < S0; i0++ ) {
+				if ( xbuf[ ix ] ) {
+					return true;
+				}
+				ix += dx0;
+			}
+			ix += dx1;
+		}
+		ix += dx2;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_accessors.js
new file mode 100644
index 000000000000..b4620c5c0964
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_accessors.js
@@ -0,0 +1,139 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @returns {boolean} result
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = any3d( x );
+* // returns true
+*/
+function any3d( x ) {
+	var xbuf;
+	var get;
+	var dx0;
+	var dx1;
+	var dx2;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var sx;
+	var ix;
+	var i0;
+	var i1;
+	var i2;
+
+	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+	sh = x.shape;
+	sx = x.strides;
+	if ( strides2order( sx ) === 1 ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 2 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 0 ];
+		dx0 = sx[ 2 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[2] );
+		dx2 = sx[ 0 ] - ( S1*sx[1] ); // offset increment for outermost loop
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 2 ];
+		dx0 = sx[ 0 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] ); // offset increment for outermost loop
+	}
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache accessor:
+	get = x.accessors[ 0 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i2 = 0; i2 < S2; i2++ ) {
+		for ( i1 = 0; i1 < S1; i1++ ) {
+			for ( i0 = 0; i0 < S0; i0++ ) {
+				if ( get( xbuf, ix ) ) {
+					return true;
+				}
+				ix += dx0;
+			}
+			ix += dx1;
+		}
+		ix += dx2;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked.js
new file mode 100644
index 000000000000..9d9a91f7ed16
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked.js
@@ -0,0 +1,171 @@
+/**
+* @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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // 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 the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = blockedany3d( x );
+* // returns true
+*/
+function blockedany3d( x ) {
+	var bsize;
+	var xbuf;
+	var dx0;
+	var dx1;
+	var dx2;
+	var ox1;
+	var ox2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sx;
+	var ox;
+	var ix;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var o;
+
+	// Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( x.shape, x.strides );
+	sh = o.sh;
+	sx = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Set a pointer to the first indexed element:
+	ox = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache the offset increment for the innermost loop:
+	dx0 = sx[0];
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		ox2 = ox + ( j2*sx[2] );
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			dx2 = sx[2] - ( s1*sx[1] );
+			ox1 = ox2 + ( j1*sx[1] );
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute the index offset for the first input ndarray element in the current block:
+				ix = ox1 + ( j0*sx[0] );
+
+				// Compute the loop offset increment:
+				dx1 = sx[1] - ( s0*sx[0] );
+
+				// Iterate over the ndarray dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							if ( xbuf[ ix ] ) {
+								return true;
+							}
+							ix += dx0;
+						}
+						ix += dx1;
+					}
+					ix += dx2;
+				}
+			}
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_accessors.js
new file mode 100644
index 000000000000..22ee2e6c677b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_accessors.js
@@ -0,0 +1,178 @@
+/**
+* @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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @returns {boolean} result
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = blockedany3d( x );
+* // returns true
+*/
+function blockedany3d( x ) {
+	var bsize;
+	var xbuf;
+	var get;
+	var dx0;
+	var dx1;
+	var dx2;
+	var ox1;
+	var ox2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sx;
+	var ox;
+	var ix;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var o;
+
+	// Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( x.shape, x.strides );
+	sh = o.sh;
+	sx = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Set a pointer to the first indexed element:
+	ox = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache the offset increment for the innermost loop:
+	dx0 = sx[0];
+
+	// Cache accessor:
+	get = x.accessors[0];
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		ox2 = ox + ( j2*sx[2] );
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			dx2 = sx[2] - ( s1*sx[1] );
+			ox1 = ox2 + ( j1*sx[1] );
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute the index offset for the first input ndarray element in the current block:
+				ix = ox1 + ( j0*sx[0] );
+
+				// Compute the loop offset increment:
+				dx1 = sx[1] - ( s0*sx[0] );
+
+				// Iterate over the ndarray dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							if ( get( xbuf, ix ) ) {
+								return true;
+							}
+							ix += dx0;
+						}
+						ix += dx1;
+					}
+					ix += dx2;
+				}
+			}
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_complex.js
new file mode 100644
index 000000000000..41be569e1607
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_blocked_complex.js
@@ -0,0 +1,171 @@
+/**
+* @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 max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element of a reinterpreted complex number ndarray is truthy via loop blocking.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 8, 4, 2 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'complex128',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = blockedany3d( x );
+* // returns true
+*/
+function blockedany3d( x ) {
+	var bsize;
+	var xbuf;
+	var dx0;
+	var dx1;
+	var dx2;
+	var ox1;
+	var ox2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sx;
+	var ox;
+	var ix;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var o;
+
+	// Note on variable naming convention: s#, dx#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( x.shape, x.strides );
+	sh = o.sh;
+	sx = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Set a pointer to the first indexed element:
+	ox = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Cache the offset increment for the innermost loop:
+	dx0 = sx[0];
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		ox2 = ox + ( j2*sx[2] );
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			dx2 = sx[2] - ( s1*sx[1] );
+			ox1 = ox2 + ( j1*sx[1] );
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute the index offset for the first input ndarray element in the current block:
+				ix = ox1 + ( j0*sx[0] );
+
+				// Compute the loop offset increment:
+				dx1 = sx[1] - ( s0*sx[0] );
+
+				// Iterate over the ndarray dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) {
+								return true;
+							}
+							ix += dx0;
+						}
+						ix += dx1;
+					}
+					ix += dx2;
+				}
+			}
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = blockedany3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_complex.js
new file mode 100644
index 000000000000..a36a80dcb1c2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/3d_complex.js
@@ -0,0 +1,132 @@
+/**
+* @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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element of a reinterpreted complex number ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 8, 4, 2 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'complex128',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any3d( x );
+* // returns true
+*/
+function any3d( x ) {
+	var xbuf;
+	var dx0;
+	var dx1;
+	var dx2;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var sx;
+	var ix;
+	var i0;
+	var i1;
+	var i2;
+
+	// Note on variable naming convention: S#, dx#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments...
+	sh = x.shape;
+	sx = x.strides;
+	if ( strides2order( sx ) === 1 ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 2 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 0 ];
+		dx0 = sx[ 2 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[2] );
+		dx2 = sx[ 0 ] - ( S1*sx[1] ); // offset increment for outermost loop
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 2 ];
+		dx0 = sx[ 0 ];                // offset increment for innermost loop
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] ); // offset increment for outermost loop
+	}
+	// Set a pointer to the first indexed element:
+	ix = x.offset;
+
+	// Cache a reference to the input ndarray buffer:
+	xbuf = x.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i2 = 0; i2 < S2; i2++ ) {
+		for ( i1 = 0; i1 < S1; i1++ ) {
+			for ( i0 = 0; i0 < S0; i0++ ) {
+				if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) {
+					return true;
+				}
+				ix += dx0;
+			}
+			ix += dx1;
+		}
+		ix += dx2;
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = any3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/index.js
new file mode 100644
index 000000000000..6194d7c931eb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/index.js
@@ -0,0 +1,65 @@
+/**
+* @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 in an ndarray is truthy.
+*
+* @module @stdlib/ndarray/base/any
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var any = require( '@stdlib/ndarray/base/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 the input ndarray-like object:
+* var x = {
+*     'ref': null,
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any( [ x ], predicate );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/main.js
new file mode 100644
index 000000000000..34a8b4150646
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/main.js
@@ -0,0 +1,291 @@
+/**
+* @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 isComplexArray = require( '@stdlib/array/base/assert/is-complex-typed-array' );
+var isBooleanArray = require( '@stdlib/array/base/assert/is-booleanarray' );
+var iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
+var minmaxViewBufferIndex = require( '@stdlib/ndarray/base/minmax-view-buffer-index' );
+var ndarray2object = require( '@stdlib/ndarray/base/ndarraylike2object' );
+var reinterpretComplex = require( '@stdlib/strided/base/reinterpret-complex' );
+var reinterpretBoolean = require( '@stdlib/strided/base/reinterpret-boolean' );
+var gscal = require( '@stdlib/blas/base/gscal' );
+var blockedaccessorany2d = require( './2d_blocked_accessors.js' );
+var blockedaccessorany3d = require( './3d_blocked_accessors.js' );
+var blockedcomplexany2d = require( './2d_blocked_complex.js' );
+var blockedcomplexany3d = require( './3d_blocked_complex.js' );
+var blockedany2d = require( './2d_blocked.js' );
+var blockedany3d = require( './3d_blocked.js' );
+var accessorany0d = require( './0d_accessors.js' );
+var accessorany1d = require( './1d_accessors.js' );
+var accessorany2d = require( './2d_accessors.js' );
+var accessorany3d = require( './3d_accessors.js' );
+var accessoranynd = require( './nd_accessors.js' );
+var complexany0d = require( './0d_complex.js' );
+var complexany1d = require( './1d_complex.js' );
+var complexany2d = require( './2d_complex.js' );
+var complexany3d = require( './3d_complex.js' );
+var complexanynd = require( './nd_complex.js' );
+var any0d = require( './0d.js' );
+var any1d = require( './1d.js' );
+var any2d = require( './2d.js' );
+var any3d = require( './3d.js' );
+var anynd = require( './nd.js' );
+
+
+// VARIABLES //
+
+var ANY = [
+	any0d,
+	any1d,
+	any2d,
+	any3d
+];
+var ACCESSOR_ANY = [
+	accessorany0d,
+	accessorany1d,
+	accessorany2d,
+	accessorany3d
+];
+var COMPLEX_ANY = [
+	complexany0d,
+	complexany1d,
+	complexany2d,
+	complexany3d
+];
+var BLOCKED_ANY = [
+	blockedany2d, // 0
+	blockedany3d
+];
+var BLOCKED_ACCESSOR_ANY = [
+	blockedaccessorany2d, // 0
+	blockedaccessorany3d
+];
+var BLOCKED_COMPLEX_ANY = [
+	blockedcomplexany2d, // 0
+	blockedcomplexany3d
+];
+var MAX_DIMS = ANY.length - 1;
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* ## Notes
+*
+* -   A provided ndarray should be an `object` with the following properties:
+*
+*     -   **dtype**: data type.
+*     -   **data**: data buffer.
+*     -   **shape**: dimensions.
+*     -   **strides**: stride lengths.
+*     -   **offset**: index offset.
+*     -   **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing one input array
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // 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 the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = any( [ x ] );
+* // returns true
+*/
+function any( arrays ) {
+	var isCmplx;
+	var ndims;
+	var xmmv;
+	var shx;
+	var iox;
+	var len;
+	var sx;
+	var ox;
+	var ns;
+	var x;
+	var d;
+	var i;
+
+	// Unpack the ndarray and standardize ndarray meta data:
+	x = ndarray2object( arrays[ 0 ] );
+	shx = x.shape;
+	ndims = shx.length;
+
+	// Check for known array types which can be reinterpreted for better iteration performance...
+	if ( isBooleanArray( x.data ) ) {
+		x.data = reinterpretBoolean( x.data, 0 );
+		x.accessorProtocol = false;
+	} else if ( isComplexArray( x.data ) ) {
+		x.data = reinterpretComplex( x.data, 0 );
+		x.accessorProtocol = false;
+		x.strides = gscal( ndims, 2, x.strides, 1 );
+		x.offset *= 2;
+		isCmplx = true;
+	}
+	// Determine whether we can avoid iteration altogether...
+	if ( ndims === 0 ) {
+		if ( x.accessorProtocol ) {
+			return ACCESSOR_ANY[ ndims ]( x );
+		}
+		if ( isCmplx ) {
+			return COMPLEX_ANY[ ndims ]( x );
+		}
+		return ANY[ ndims ]( x );
+	}
+	// Compute the number of elements and the number of singleton dimensions...
+	len = 1; // number of elements
+	ns = 0;  // number of singleton dimensions
+	for ( i = 0; i < ndims; i++ ) {
+		d = shx[ i ];
+
+		// Note that, if one of the dimensions is `0`, the length will be `0`...
+		len *= d;
+
+		// Check whether the current dimension is a singleton dimension...
+		if ( d === 1 ) {
+			ns += 1;
+		}
+	}
+	// Check whether we were provided an empty ndarray...
+	if ( len === 0 ) {
+		return false;
+	}
+	// Determine whether the ndarray is one-dimensional and thus readily translates to a one-dimensional strided array...
+	if ( ndims === 1 ) {
+		if ( x.accessorProtocol ) {
+			return ACCESSOR_ANY[ ndims ]( x );
+		}
+		if ( isCmplx ) {
+			return COMPLEX_ANY[ ndims ]( x );
+		}
+		return ANY[ ndims ]( x );
+	}
+	sx = x.strides;
+
+	// Determine whether the ndarray has only **one** non-singleton dimension (e.g., ndims=4, shape=[10,1,1,1]) so that we can treat an ndarray as being equivalent to a one-dimensional strided array...
+	if ( ns === ndims-1 ) {
+		// Get the index of the non-singleton dimension...
+		for ( i = 0; i < ndims; i++ ) {
+			if ( shx[ i ] !== 1 ) {
+				break;
+			}
+		}
+		x.shape = [ shx[i] ];
+		x.strides = [ sx[i] ];
+		if ( x.accessorProtocol ) {
+			return ACCESSOR_ANY[ 1 ]( x );
+		}
+		if ( isCmplx ) {
+			return COMPLEX_ANY[ 1 ]( x );
+		}
+		return ANY[ 1 ]( x );
+	}
+	iox = iterationOrder( sx ); // +/-1
+
+	// Determine whether we can avoid blocked iteration...
+	if ( iox !== 0 ) {
+		// Determine the minimum and maximum linear indices which are accessible by the array view:
+		xmmv = minmaxViewBufferIndex( shx, sx, x.offset );
+
+		// Determine whether we can ignore shape (and strides) and treat the ndarray as a linear one-dimensional strided array...
+		if ( len === ( xmmv[1]-xmmv[0]+1 ) || ( isCmplx && len*2 === ( xmmv[1]-xmmv[0]+1 ) ) ) { // eslint-disable-line max-len
+			// Note: the above is equivalent to @stdlib/ndarray/base/assert/is-contiguous, but in-lined so we can retain computed values...
+			if ( iox === 1 ) {
+				ox = xmmv[ 0 ];
+			} else {
+				ox = xmmv[ 1 ];
+			}
+			x.shape = [ len ];
+			x.strides = [ ( isCmplx ) ? iox*2 : iox ];
+			x.offset = ox;
+			if ( x.accessorProtocol ) {
+				return ACCESSOR_ANY[ 1 ]( x );
+			}
+			if ( isCmplx ) {
+				return COMPLEX_ANY[ 1 ]( x );
+			}
+			return ANY[ 1 ]( x );
+		}
+		// The ndarray is non-contiguous, so we cannot directly use one-dimensional array functionality...
+
+		// Determine whether we can use simple nested loops...
+		if ( ndims <= MAX_DIMS ) {
+			// So long as iteration always moves in the same direction (i.e., no mixed sign strides), we can leverage cache-optimal (i.e., normal) nested loops without resorting to blocked iteration...
+			if ( x.accessorProtocol ) {
+				return ACCESSOR_ANY[ ndims ]( x );
+			}
+			if ( isCmplx ) {
+				return COMPLEX_ANY[ ndims ]( x );
+			}
+			return ANY[ ndims ]( x );
+		}
+		// Fall-through to blocked iteration...
+	}
+	// At this point, we're either dealing with a non-contiguous n-dimensional array or a high dimensional n-dimensional array, so our only hope is that we can still perform blocked iteration...
+
+	// Determine whether we can perform blocked iteration...
+	if ( ndims <= MAX_DIMS ) {
+		if ( x.accessorProtocol ) {
+			return BLOCKED_ACCESSOR_ANY[ ndims-2 ]( x );
+		}
+		if ( isCmplx ) {
+			return BLOCKED_COMPLEX_ANY[ ndims-2 ]( x );
+		}
+		return BLOCKED_ANY[ ndims-2 ]( x );
+	}
+	// Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)...
+	if ( x.accessorProtocol ) {
+		return accessoranynd( x );
+	}
+	if ( isCmplx ) {
+		return complexanynd( x );
+	}
+	return anynd( x );
+}
+
+
+// EXPORTS //
+
+module.exports = any;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/nd.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd.js
new file mode 100644
index 000000000000..27b3184fd08f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd.js
@@ -0,0 +1,116 @@
+/**
+* @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 numel = require( '@stdlib/ndarray/base/numel' );
+var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 1;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = anynd( x );
+* // returns true
+*/
+function anynd( x ) {
+	var xbuf;
+	var ordx;
+	var len;
+	var sh;
+	var sx;
+	var ox;
+	var ix;
+	var i;
+
+	sh = x.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( sh );
+
+	// Cache a reference to the output ndarray data buffer:
+	xbuf = x.data;
+
+	// Cache a reference to the stride array:
+	sx = x.strides;
+
+	// Cache the index of the first indexed element:
+	ox = x.offset;
+
+	// Cache the array order:
+	ordx = x.order;
+
+	// Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory...
+	for ( i = 0; i < len; i++ ) {
+		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
+		if ( xbuf[ ix ] ) {
+			return true;
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = anynd;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_accessors.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_accessors.js
new file mode 100644
index 000000000000..83494a542a58
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_accessors.js
@@ -0,0 +1,123 @@
+/**
+* @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 numel = require( '@stdlib/ndarray/base/numel' );
+var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element in an ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @returns {boolean} result
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var accessors = require( '@stdlib/array/base/accessors' );
+*
+* // Create a data buffer:
+* var xbuf = toAccessorArray( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'generic',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': accessors( xbuf ).accessors
+* };
+*
+* // Test elements:
+* var out = anynd( x );
+* // returns true
+*/
+function anynd( x ) {
+	var xbuf;
+	var ordx;
+	var len;
+	var get;
+	var sh;
+	var sx;
+	var ox;
+	var ix;
+	var i;
+
+	sh = x.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( sh );
+
+	// Cache a reference to the output ndarray data buffer:
+	xbuf = x.data;
+
+	// Cache a reference to the stride array:
+	sx = x.strides;
+
+	// Cache the index of the first indexed element:
+	ox = x.offset;
+
+	// Cache the array order:
+	ordx = x.order;
+
+	// Cache accessor:
+	get = x.accessors[ 0 ];
+
+	// Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory...
+	for ( i = 0; i < len; i++ ) {
+		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
+		if ( get( xbuf, ix ) ) {
+			return true;
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = anynd;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_complex.js b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_complex.js
new file mode 100644
index 000000000000..830fe66ef6ff
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/lib/nd_complex.js
@@ -0,0 +1,116 @@
+/**
+* @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 numel = require( '@stdlib/ndarray/base/numel' );
+var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Tests whether at least one element of a reinterpreted complex number ndarray is truthy.
+*
+* @private
+* @param {Object} x - object containing ndarray meta data
+* @param {string} x.dtype - data type
+* @param {Collection} x.data - data buffer
+* @param {NonNegativeIntegerArray} x.shape - dimensions
+* @param {IntegerArray} x.strides - stride lengths
+* @param {NonNegativeInteger} x.offset - index offset
+* @param {string} x.order - specifies whether `x` is row-major (C-style) or column-major (Fortran-style)
+* @returns {boolean} result
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+*
+* // Define the shape of the input array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create the input ndarray-like object:
+* var x = {
+*     'dtype': 'complex128',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Test elements:
+* var out = anynd( x );
+* // returns true
+*/
+function anynd( x ) {
+	var xbuf;
+	var ordx;
+	var len;
+	var sh;
+	var sx;
+	var ox;
+	var ix;
+	var i;
+
+	sh = x.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( sh );
+
+	// Cache a reference to the output ndarray data buffer:
+	xbuf = x.data;
+
+	// Cache a reference to the stride array:
+	sx = x.strides;
+
+	// Cache the index of the first indexed element:
+	ox = x.offset;
+
+	// Cache the array order:
+	ordx = x.order;
+
+	// Iterate over each element based on the linear **view** index, regardless as to how the data is stored in memory...
+	for ( i = 0; i < len; i++ ) {
+		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
+		if ( ( xbuf[ ix ] || xbuf[ ix+1 ] ) ) {
+			return true;
+		}
+	}
+	return false;
+}
+
+
+// EXPORTS //
+
+module.exports = anynd;
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/package.json b/lib/node_modules/@stdlib/ndarray/base/any/package.json
new file mode 100644
index 000000000000..b1c0772e952c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/package.json
@@ -0,0 +1,63 @@
+{
+  "name": "@stdlib/ndarray/base/any",
+  "version": "0.0.0",
+  "description": "Test whether at least one element in an ndarray 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",
+    "base",
+    "strided",
+    "array",
+    "ndarray",
+    "any",
+    "utility",
+    "utils",
+    "truthy"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.0d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.0d.js
new file mode 100644
index 000000000000..89258574e5f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.0d.js
@@ -0,0 +1,97 @@
+/**
+* @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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+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 tests whether at least one element in a 0-dimensional ndarray is truthy', function test( t ) {
+	var actual;
+	var x;
+
+	x = scalar2ndarray( 0.0, {
+		'dtype': 'float64'
+	});
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = scalar2ndarray( 1.0, {
+		'dtype': 'float64'
+	});
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 0-dimensional ndarray is truthy (accessors)', function test( t ) {
+	var actual;
+	var x;
+
+	x = ndarray( 'float64', toAccessorArray( new Float64Array( [ 0.0 ] ) ), [], [ 0 ], 0, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( 'float64', toAccessorArray( new Float64Array( [ 1.0 ] ) ), [], [ 0 ], 0, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 0-dimensional ndarray is truthy (complex)', function test( t ) {
+	var actual;
+	var x;
+
+	x = scalar2ndarray( new Complex128( 0.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = scalar2ndarray( new Complex128( 1.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.1d.js
new file mode 100644
index 000000000000..9e0d6aa33cab
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.1d.js
@@ -0,0 +1,88 @@
+/**
+* @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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+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 tests whether at least one element in a 1-dimensional ndarray is truthy', function test( t ) {
+	var actual;
+	var x;
+
+	x = ndarray( 'float64', zeros( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( 'float64', ones( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 1-dimensional ndarray is truthy (accessors)', function test( t ) {
+	var actual;
+	var x;
+
+	x = ndarray( 'float64', toAccessorArray( zeros( 8, 'float64' ) ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( 'float64', toAccessorArray( ones( 8, 'float64' ) ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 1-dimensional ndarray is truthy (complex)', function test( t ) {
+	var actual;
+	var x;
+
+	x = ndarray( 'complex128', zeros( 6, 'complex128' ), [ 4 ], [ 1 ], 1, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( 'complex128', ones( 6, 'complex128' ), [ 4 ], [ 1 ], 1, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.2d.js
new file mode 100644
index 000000000000..8d3d4077de46
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.2d.js
@@ -0,0 +1,1197 @@
+/**
+* @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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+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 tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ 2, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 8, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -2, bsize*2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ 2, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 8, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -2, bsize*2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 2-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ 2, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.3d.js
new file mode 100644
index 000000000000..5771f179c0b5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.3d.js
@@ -0,0 +1,1383 @@
+/**
+* @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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+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 tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, negative strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -2, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, 4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -4, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 1, 2 ];
+	st = [ -4, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ -8, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, 2, bsize*2 ];
+	st = [ bsize*8, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, negative strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -4, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, 4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -4, -4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 1, 2 ];
+	st = [ -4, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ -8, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, 2, bsize*2 ];
+	st = [ -bsize*8, -bsize*4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -2, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, 4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -3, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 1, 2 ];
+	st = [ -4, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ -8, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, 2, bsize*2 ];
+	st = [ bsize*8, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, negative strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -1, -2, -2 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 2, 4, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 2, -4, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 1, 2 ];
+	st = [ 2, -bsize*4, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ 2, -2, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ 2, -4, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, negative strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 2, 4, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -2, -4, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2, 1 ];
+	st = [ 2, -bsize*4, -bsize*8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ 2, -2, bsize*4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, complex)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ 2, -4, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh )*2, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 2, 4, 4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, -2, -3 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2, 1 ];
+	st = [ 2, -bsize*4, -bsize*8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ -2, -2, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a 3-dimensional ndarray is truthy (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var actual;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ 2, -4, -4 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh )*2, dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.js
new file mode 100644
index 000000000000..e4625a304a5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.js
@@ -0,0 +1,47 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var zeros = require( '@stdlib/array/zeros' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+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 returns `false` if the input is an empty ndarray', function test( t ) {
+	var actual;
+	var x;
+
+	x = ndarray( 'float64', zeros( 8, 'float64' ), [ 0 ], [ 1 ], 0, 'row-major' );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/any/test/test.nd.js b/lib/node_modules/@stdlib/ndarray/base/any/test/test.nd.js
new file mode 100644
index 000000000000..7fb53a5d8ecc
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/any/test/test.nd.js
@@ -0,0 +1,656 @@
+/**
+* @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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var zeros = require( '@stdlib/array/zeros' );
+var ones = require( '@stdlib/array/ones' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+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 tests whether at least one element in a n-dimensional ndarray is truthy (row-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 16, 16, 16, 16, 16, 16, 16, 16, 8, 4, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 16, 16, 16, 16, 16, 16, 16, 16, -8, -4, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, contiguous, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 16, 16, 16, 16, 16, 16, 16, 16, 8, 4, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 16, 16, 16, 16, 16, 16, -16, 16, -8, -4, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 16, 16, 16, 16, 16, 16, 16, 16, 8, 4, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 16, 16, 16, 16, 16, 16, -16, 16, -8, -4, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, singleton dimensions)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, singleton dimensions, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, contiguous)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 8, 8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 1, 1, 1, 1, 1, 1, 1, 1, -1, -4, 8, -8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, contiguous, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( numel( sh ), dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 8, 8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, complex)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 1, 1, 1, 1, -1, 1, -1, 1, 1, -4, -8, 8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, zeros( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, ones( 16, dt ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, contiguous, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 8, 8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function tests whether at least one element in a n-dimensional ndarray is truthy (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var actual;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 2 ];
+	st = [ 1, 1, 1, 1, -1, 1, -1, 1, 1, -4, -8, 8 ];
+	o = strides2offset( sh, st );
+
+	x = ndarray( dt, toAccessorArray( zeros( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, false, 'returns expected value' );
+
+	x = ndarray( dt, toAccessorArray( ones( 16, dt ) ), sh, st, o, ord );
+
+	actual = any( [ x ] );
+	t.strictEqual( actual, true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_blocked_columnmajor.js
deleted file mode 100644
index fd03fcba9ccd..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_blocked_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/10d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/10.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 9 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_blocked_rowmajor.js
deleted file mode 100644
index 7944927eaaa4..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_blocked_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/10d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/10.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 9 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_columnmajor.js
deleted file mode 100644
index e9b10e2b92c6..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/10d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/10.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 9 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_rowmajor.js
deleted file mode 100644
index f78b35c2294e..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.10d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/10d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/10.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 9 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.11d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.11d_columnmajor.js
deleted file mode 100644
index 899299641698..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.11d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/nd.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/11.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 10 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.11d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.11d_rowmajor.js
deleted file mode 100644
index a752baf87341..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.11d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/nd.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/11.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 10 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.1d_columnmajor.js
deleted file mode 100644
index 6b7e6dddda69..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.1d_columnmajor.js
+++ /dev/null
@@ -1,122 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( [ x ] );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	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 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor_accessors_complex.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor_accessors_complex.js
deleted file mode 100644
index 9248f6a0a5ce..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.2d_rowmajor_accessors_complex.js
+++ /dev/null
@@ -1,162 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-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 ctors = require( '@stdlib/array/typed-complex-ctors' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/2d_accessors.js' );
-
-
-// VARIABLES //
-
-var types = [ 'complex64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Returns an array data buffer element.
-*
-* @private
-* @param {Collection} buf - data buffer
-* @param {NonNegativeInteger} idx - element index
-* @returns {*} element
-*/
-function get( buf, idx ) {
-	return buf.get( idx );
-}
-
-/**
-* Sets an array data buffer element.
-*
-* @private
-* @param {Collection} buf - data buffer
-* @param {NonNegativeInteger} idx - element index
-* @param {*} value - value to set
-*/
-function set( buf, idx, value ) {
-	buf.set( value, idx );
-}
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var xbuf;
-	var x;
-
-	xbuf = discreteUniform( len*2, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': new ( ctors( xtype ) )( xbuf.buffer ),
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': order,
-		'accessorProtocol': true,
-		'accessors': [ get, set ]
-	};
-	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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 5; // 10^max
-
-	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 );
-			bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( sqrt( len ) );
-			sh = [ len, len ];
-			len *= len;
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::accessors:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_blocked_columnmajor.js
deleted file mode 100644
index cc8edb67488e..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_blocked_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/4d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/4.0 ) );
-			sh = [ len, len, len, len ];
-			len *= len * len * len;
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_blocked_rowmajor.js
deleted file mode 100644
index e901f8d6be99..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_blocked_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/4d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/4.0 ) );
-			sh = [ len, len, len, len ];
-			len *= len * len * len;
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_columnmajor.js
deleted file mode 100644
index 7b3c16d14a30..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/4d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/4.0 ) );
-			sh = [ len, len, len, len ];
-			len *= len * len * len;
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_rowmajor.js
deleted file mode 100644
index a7e16ae16a98..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.4d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/4d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/4.0 ) );
-			sh = [ len, len, len, len ];
-			len *= len * len * len;
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_blocked_columnmajor.js
deleted file mode 100644
index 380f79db2102..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_blocked_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/5d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/5.0 ) );
-			sh = [ len, len, len, len, len ];
-			len *= pow( len, 4 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_blocked_rowmajor.js
deleted file mode 100644
index 150e6c281eeb..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_blocked_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/5d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/5.0 ) );
-			sh = [ len, len, len, len, len ];
-			len *= pow( len, 4 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_columnmajor.js
deleted file mode 100644
index ce5a3c8eacdd..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/5d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/5.0 ) );
-			sh = [ len, len, len, len, len ];
-			len *= pow( len, 4 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_rowmajor.js
deleted file mode 100644
index 83f67c31ff4e..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.5d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/5d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/5.0 ) );
-			sh = [ len, len, len, len, len ];
-			len *= pow( len, 4 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_blocked_columnmajor.js
deleted file mode 100644
index a831dcf4990b..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_blocked_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/6d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/6.0 ) );
-			sh = [ len, len, len, len, len, len ];
-			len *= pow( len, 5 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_blocked_rowmajor.js
deleted file mode 100644
index 4b3452830383..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_blocked_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/6d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/6.0 ) );
-			sh = [ len, len, len, len, len, len ];
-			len *= pow( len, 5 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_columnmajor.js
deleted file mode 100644
index d09293ab2b95..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/6d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/6.0 ) );
-			sh = [ len, len, len, len, len, len ];
-			len *= pow( len, 5 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_rowmajor.js
deleted file mode 100644
index 7f64fdaccab7..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.6d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/6d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/6.0 ) );
-			sh = [ len, len, len, len, len, len ];
-			len *= pow( len, 5 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_blocked_columnmajor.js
deleted file mode 100644
index 9928f4c12934..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_blocked_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/7d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/7.0 ) );
-			sh = [ len, len, len, len, len, len, len ];
-			len *= pow( len, 6 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_blocked_rowmajor.js
deleted file mode 100644
index 0fb4c8074ee9..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_blocked_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/7d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/7.0 ) );
-			sh = [ len, len, len, len, len, len, len ];
-			len *= pow( len, 6 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_columnmajor.js
deleted file mode 100644
index 8dfb9ddf424d..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/7d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/7.0 ) );
-			sh = [ len, len, len, len, len, len, len ];
-			len *= pow( len, 6 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_rowmajor.js
deleted file mode 100644
index c82431321336..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.7d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/7d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/7.0 ) );
-			sh = [ len, len, len, len, len, len, len ];
-			len *= pow( len, 6 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_blocked_columnmajor.js
deleted file mode 100644
index 82b9f39315f8..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_blocked_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/8d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/8.0 ) );
-			sh = [ len, len, len, len, len, len, len, len ];
-			len *= pow( len, 7 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_blocked_rowmajor.js
deleted file mode 100644
index 82b9f39315f8..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_blocked_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/8d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/8.0 ) );
-			sh = [ len, len, len, len, len, len, len, len ];
-			len *= pow( len, 7 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_columnmajor.js
deleted file mode 100644
index 481b1e392b7f..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/8d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/8.0 ) );
-			sh = [ len, len, len, len, len, len, len, len ];
-			len *= pow( len, 7 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_rowmajor.js
deleted file mode 100644
index 9e9977654222..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.8d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/8d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/8.0 ) );
-			sh = [ len, len, len, len, len, len, len, len ];
-			len *= pow( len, 7 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_blocked_columnmajor.js
deleted file mode 100644
index d5cb26f72dd1..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_blocked_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/9d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/9.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 8 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_blocked_rowmajor.js
deleted file mode 100644
index 1368e17e557c..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_blocked_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/9d_blocked.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/9.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 8 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+'::blocked:ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_columnmajor.js
deleted file mode 100644
index 481e9718f93e..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_columnmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/9d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'column-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/9.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 8 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_rowmajor.js
deleted file mode 100644
index a2ebf196fa79..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/every/benchmark/benchmark.9d_rowmajor.js
+++ /dev/null
@@ -1,133 +0,0 @@
-/**
-* @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 isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
-var pow = require( '@stdlib/math/base/special/pow' );
-var floor = require( '@stdlib/math/base/special/floor' );
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
-var pkg = require( './../package.json' ).name;
-var every = require( './../lib/9d.js' );
-
-
-// VARIABLES //
-
-var types = [ 'float64' ];
-var order = 'row-major';
-
-
-// FUNCTIONS //
-
-/**
-* Creates a benchmark function.
-*
-* @private
-* @param {PositiveInteger} len - ndarray length
-* @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - ndarray data type
-* @returns {Function} benchmark function
-*/
-function createBenchmark( len, shape, xtype ) {
-	var x;
-
-	x = discreteUniform( len, 1, 100 );
-	x = {
-		'dtype': xtype,
-		'data': x,
-		'shape': shape,
-		'strides': shape2strides( shape, order ),
-		'offset': 0,
-		'order': 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 = every( x );
-			if ( typeof out !== 'boolean' ) {
-				b.fail( 'should return a boolean' );
-			}
-		}
-		b.toc();
-		if ( !isBoolean( out ) ) {
-			b.fail( 'should return a boolean' );
-		}
-		b.pass( 'benchmark finished' );
-		b.end();
-	}
-}
-
-
-// MAIN //
-
-/**
-* Main execution sequence.
-*
-* @private
-*/
-function main() {
-	var len;
-	var min;
-	var max;
-	var sh;
-	var t1;
-	var f;
-	var i;
-	var j;
-
-	min = 1; // 10^min
-	max = 6; // 10^max
-
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2, 1, 1, 1, 1, 1, 1, 1 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-
-			len = floor( pow( len, 1.0/9.0 ) );
-			sh = [ len, len, len, len, len, len, len, len, len ];
-			len *= pow( len, 8 );
-			f = createBenchmark( len, sh, t1 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],xorder='+order+',xtype='+t1, f );
-		}
-	}
-}
-
-main();