From c65133f38cf4958ce2b758191b6235d9f45e7d6c Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Mon, 2 Mar 2026 22:58:58 +0200
Subject: [PATCH 01/33] feat: create 2d version with its tests and benchmarks

---
 .../@stdlib/ndarray/base/where/README.md      |  61 ++++
 .../benchmark/benchmark.2d_columnmajor.js     | 169 ++++++++++
 .../where/benchmark/benchmark.2d_rowmajor.js  | 170 ++++++++++
 .../@stdlib/ndarray/base/where/lib/2d.js      | 214 +++++++++++++
 .../@stdlib/ndarray/base/where/package.json   |  59 ++++
 .../@stdlib/ndarray/base/where/test/test.js   | 299 ++++++++++++++++++
 6 files changed, 972 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/README.md
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/package.json
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/test/test.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/README.md b/lib/node_modules/@stdlib/ndarray/base/where/README.md
new file mode 100644
index 000000000000..0dc6e4faddad
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/README.md
@@ -0,0 +1,61 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 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.
+
+-->
+
+# Where
+
+> Apply a condition to elements in two input ndarrays and assign results to elements in an output ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+
+</section>
+
+<!-- /.usage -->
+
+<section class="examples">
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. -->
+
+* * *
+
+<section class="related">
+
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
new file mode 100644
index 000000000000..277059844f1b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
@@ -0,0 +1,169 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d.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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+	condition = filledarrayBy( len, 'uint8', bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, xtype );
+
+	condition = {
+		'dtype': 'uint8',
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': xtype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out, false );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var f;
+	var i;
+	var j;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( j = 0; j < types.length; j++ ) {
+		t1 = types[ j ];
+		t2 = types[ j ];
+		for ( i = min; i <= max; i++ ) {
+			len = pow( 10, i );
+
+			sh = [ len/2, 2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
new file mode 100644
index 000000000000..cb5ff0c56e5d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
@@ -0,0 +1,170 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d.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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, 'uint8', bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, xtype );
+
+	condition = {
+		'dtype': 'uint8',
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': xtype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out, true );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var f;
+	var i;
+	var j;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( j = 0; j < types.length; j++ ) {
+		t1 = types[ j ];
+		t2 = types[ j ];
+		for ( i = min; i <= max; i++ ) {
+			len = pow( 10, i );
+
+			sh = [ len/2, 2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js
new file mode 100644
index 000000000000..848b1e7e5bad
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js
@@ -0,0 +1,214 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two two-dimensional input ndarrays according to a two-dimensional boolean ndarray and assigns results to elements in a two-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1 ] );
+* var xbuf = new Float64Array( [  1.0,  2.0,  3.0,  4.0 ] );
+* var ybuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0 ] );
+* var obuf = new Float64Array( 4 );
+*
+* // Define the shape of the arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 2, 1 ];
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+* var so = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where2d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ 1.0, -2.0, -3.0, 4.0 ]
+*/
+function where2d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dx0;
+	var dx1;
+	var dy0;
+	var dy1;
+	var do0;
+	var do1;
+	var sh;
+	var S0;
+	var S1;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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 = condition.shape;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 1 ];
+		S1 = sh[ 0 ];
+		dc0 = sc[ 1 ];                 // offset increment for innermost loop
+		dc1 = sc[ 0 ] - ( S0*sc[1] );  // offset increment for outermost loop
+		dx0 = sx[ 1 ];
+		dx1 = sx[ 0 ] - ( S0*sx[1] );
+		dy0 = sy[ 1 ];
+		dy1 = sy[ 0 ] - ( S0*sy[1] );
+		do0 = so[ 1 ];
+		do1 = so[ 0 ] - ( S0*so[1] );
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		dc0 = sc[ 0 ];                 // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );  // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+			ic += dc0;
+			ix += dx0;
+			iy += dy0;
+			io += do0;
+		}
+		ic += dc1;
+		ix += dx1;
+		iy += dy1;
+		io += do1;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/package.json b/lib/node_modules/@stdlib/ndarray/base/where/package.json
new file mode 100644
index 000000000000..1e1b24a090b2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/package.json
@@ -0,0 +1,59 @@
+{
+  "name": "@stdlib/ndarray/base/where",
+  "version": "0.0.0",
+  "description": "Apply a condition to elements in two input ndarrays and assign results to elements in an output ndarray.",
+  "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",
+    "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",
+    "where",
+    "copy"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
new file mode 100644
index 000000000000..2d245d4f80b5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
@@ -0,0 +1,299 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 Uint8Array = require( '@stdlib/array/uint8' );
+var where2d = require( './../lib/2d.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof where2d, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function selects elements from `x` when the condition is truthy, and from `y` otherwise (row-major)', function test( t ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	// All-true condition: output must equal x entirely
+	condition = {
+		'dtype': 'uint8',
+		'data': new Uint8Array( [ 1, 1, 1, 1 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	y = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	out = {
+		'dtype': 'float64',
+		'data': new Float64Array( 4 ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	where2d( condition, x, y, out, true );
+
+	t.strictEqual( out.data[ 0 ], 1.0, 'returns expected value' );
+	t.strictEqual( out.data[ 1 ], 2.0, 'returns expected value' );
+	t.strictEqual( out.data[ 2 ], 3.0, 'returns expected value' );
+	t.strictEqual( out.data[ 3 ], 4.0, 'returns expected value' );
+
+	// All-false condition: output must equal y entirely
+	condition.data = new Uint8Array( [ 0, 0, 0, 0 ] );
+	out.data = new Float64Array( 4 );
+
+	where2d( condition, x, y, out, true );
+
+	t.strictEqual( out.data[ 0 ], 5.0, 'returns expected value' );
+	t.strictEqual( out.data[ 1 ], 6.0, 'returns expected value' );
+	t.strictEqual( out.data[ 2 ], 7.0, 'returns expected value' );
+	t.strictEqual( out.data[ 3 ], 8.0, 'returns expected value' );
+
+	// Mixed condition: [ 1, 0, 0, 1 ] → [ x0, y1, y2, x3 ]
+	condition.data = new Uint8Array( [ 1, 0, 0, 1 ] );
+	out.data = new Float64Array( 4 );
+
+	where2d( condition, x, y, out, true );
+
+	t.strictEqual( out.data[ 0 ], 1.0, 'returns expected value' );
+	t.strictEqual( out.data[ 1 ], 6.0, 'returns expected value' );
+	t.strictEqual( out.data[ 2 ], 7.0, 'returns expected value' );
+	t.strictEqual( out.data[ 3 ], 4.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function selects elements from `x` when the condition is truthy, and from `y` otherwise (column-major)', function test( t ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = {
+		'dtype': 'uint8',
+		'data': new Uint8Array( [ 1, 0, 0, 1 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 1, 2 ],
+		'offset': 0,
+		'order': 'column-major'
+	};
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 1, 2 ],
+		'offset': 0,
+		'order': 'column-major'
+	};
+	y = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 1, 2 ],
+		'offset': 0,
+		'order': 'column-major'
+	};
+	out = {
+		'dtype': 'float64',
+		'data': new Float64Array( 4 ),
+		'shape': [ 2, 2 ],
+		'strides': [ 1, 2 ],
+		'offset': 0,
+		'order': 'column-major'
+	};
+
+	where2d( condition, x, y, out, false );
+
+	t.strictEqual( out.data[ 0 ], 1.0, 'returns expected value' );
+	t.strictEqual( out.data[ 1 ], 6.0, 'returns expected value' );
+	t.strictEqual( out.data[ 2 ], 7.0, 'returns expected value' );
+	t.strictEqual( out.data[ 3 ], 4.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports non-zero offsets', function test( t ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = {
+		'dtype': 'uint8',
+		'data': new Uint8Array( [ 1, 0, 1, 0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 99.0, 2.0, 3.0, 4.0, 5.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 1,
+		'order': 'row-major'
+	};
+	y = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	out = {
+		'dtype': 'float64',
+		'data': new Float64Array( 4 ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	where2d( condition, x, y, out, true );
+
+	t.strictEqual( out.data[ 0 ], 2.0, 'returns expected value' );
+	t.strictEqual( out.data[ 1 ], 20.0, 'returns expected value' );
+	t.strictEqual( out.data[ 2 ], 4.0, 'returns expected value' );
+	t.strictEqual( out.data[ 3 ], 40.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports non-unit strides', function test( t ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = {
+		'dtype': 'uint8',
+		'data': new Uint8Array( [ 0, 1, 1, 0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 4, 1 ],
+		'offset': 1,
+		'order': 'row-major'
+	};
+	y = {
+		'dtype': 'float64',
+		'data': new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	out = {
+		'dtype': 'float64',
+		'data': new Float64Array( 4 ),
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	where2d( condition, x, y, out, true );
+
+	t.strictEqual( out.data[ 0 ], 10.0, 'returns expected value' );
+	t.strictEqual( out.data[ 1 ], 3.0, 'returns expected value' );
+	t.strictEqual( out.data[ 2 ], 6.0, 'returns expected value' );
+	t.strictEqual( out.data[ 3 ], 40.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns without doing anything when provided a shape with a zero dimension', function test( t ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = {
+		'dtype': 'uint8',
+		'data': new Uint8Array( 0 ),
+		'shape': [ 0, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	x = {
+		'dtype': 'float64',
+		'data': new Float64Array( 0 ),
+		'shape': [ 0, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	y = {
+		'dtype': 'float64',
+		'data': new Float64Array( 0 ),
+		'shape': [ 0, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+	out = {
+		'dtype': 'float64',
+		'data': new Float64Array( 0 ),
+		'shape': [ 0, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': 0,
+		'order': 'row-major'
+	};
+
+	where2d( condition, x, y, out, true );
+
+	t.strictEqual( out.data.length, 0, 'returns expected value' );
+	t.end();
+});

From 148d9d103e02923aca2b5b8f31a0b4f4aa0ff9c6 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 4 Mar 2026 22:43:43 +0200
Subject: [PATCH 02/33] feat: add 0d implementation

---
 .../@stdlib/ndarray/base/where/lib/0d.js      | 129 ++++++++++++++++++
 .../ndarray/base/where/lib/0d_accessors.js    | 129 ++++++++++++++++++
 2 files changed, 258 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js
new file mode 100644
index 000000000000..ec0d8b92d1da
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js
@@ -0,0 +1,129 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two zero-dimensional input ndarrays according to a zero-dimensional boolean ndarray and assigns the result to elements in a zero-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing first input ndarray meta data
+* @param {*} 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 {Object} y - object containing second input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1 ] );
+* var xbuf = new Float64Array( [ 1.0 ] );
+* var ybuf = new Float64Array( [ 2.0 ] );
+* var obuf = new Float64Array( 1 );
+*
+* // Define the shape of the arrays (0-dimensional = scalar):
+* var shape = [];
+*
+* // Define the array strides:
+* var sc = [ 0 ];
+* var sx = [ 0 ];
+* var sy = [ 0 ];
+* var so = [ 0 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where0d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ 1.0 ]
+*/
+function where0d( condition, x, y, out ) {
+	out.data[ out.offset ] = ( condition.data[ condition.offset ] ) ? x.data[ x.offset ] : y.data[ y.offset ];
+}
+
+
+// EXPORTS //
+
+module.exports = where0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
new file mode 100644
index 000000000000..1e96e56121e9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
@@ -0,0 +1,129 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two zero-dimensional input ndarrays according to a zero-dimensional boolean ndarray and assigns the result to elements in a zero-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing first input ndarray meta data
+* @param {*} 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 {Object} y - object containing second input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1 ] );
+* var xbuf = new Float64Array( [ 1.0 ] );
+* var ybuf = new Float64Array( [ 2.0 ] );
+* var obuf = new Float64Array( 1 );
+*
+* // Define the shape of the arrays (0-dimensional = scalar):
+* var shape = [];
+*
+* // Define the array strides:
+* var sc = [ 0 ];
+* var sx = [ 0 ];
+* var sy = [ 0 ];
+* var so = [ 0 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where0d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ 1.0 ]
+*/
+function where0d( condition, x, y, out ) {
+    out.accessors[ 1 ]( out.data, out.offset, ( condition.accessors[ 0 ]( condition.data, condition.offset ) ) ? x.accessors[ 0 ]( x.data, x.offset ) : y.accessors[ 0 ]( y.data, y.offset ) );
+}
+
+
+// EXPORTS //
+
+module.exports = where0d;

From 2a17361388d563c16ebafc0a50de4dc3fdb7fdb7 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 4 Mar 2026 23:26:16 +0200
Subject: [PATCH 03/33] feat: add 2d accessors implementation

---
 .../ndarray/base/where/lib/2d_accessors.js    | 220 ++++++++++++++++++
 1 file changed, 220 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
new file mode 100644
index 000000000000..8cc812765be0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
@@ -0,0 +1,220 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two two-dimensional input ndarrays according to a two-dimensional boolean ndarray and assigns results to elements in a two-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1 ] );
+* var xbuf = new Float64Array( [  1.0,  2.0,  3.0,  4.0 ] );
+* var ybuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0 ] );
+* var obuf = new Float64Array( 4 );
+*
+* // Define the shape of the arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 2, 1 ];
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+* var so = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where2d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ 1.0, -2.0, -3.0, 4.0 ]
+*/
+function where2d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dx0;
+	var dx1;
+	var dy0;
+	var dy1;
+	var do0;
+	var do1;
+	var sh;
+	var S0;
+	var S1;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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 = condition.shape;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 1 ];
+		S1 = sh[ 0 ];
+		dc0 = sc[ 1 ];                 // offset increment for innermost loop
+		dc1 = sc[ 0 ] - ( S0*sc[1] );  // offset increment for outermost loop
+		dx0 = sx[ 1 ];
+		dx1 = sx[ 0 ] - ( S0*sx[1] );
+		dy0 = sy[ 1 ];
+		dy1 = sy[ 0 ] - ( S0*sy[1] );
+		do0 = so[ 1 ];
+		do1 = so[ 0 ] - ( S0*so[1] );
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		dc0 = sc[ 0 ];                 // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );  // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+    // Cache accessors
+    getx = x.accessors[ 0 ];
+    gety = y.accessors[ 0 ];
+    getc = condition.accessors[ 0 ];
+    seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+			ic += dc0;
+			ix += dx0;
+			iy += dy0;
+			io += do0;
+		}
+		ic += dc1;
+		ix += dx1;
+		iy += dy1;
+		io += do1;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where2d;

From e3729ee8fa125fb2cb36ab8ea1dee60e7d4e81fc Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 4 Mar 2026 23:26:34 +0200
Subject: [PATCH 04/33] feat: add 2d blocked implementation

---
 .../ndarray/base/where/lib/2d_blocked.js      | 255 ++++++++++++++++++
 1 file changed, 255 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
new file mode 100644
index 000000000000..a00f420279ce
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
@@ -0,0 +1,255 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/unary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+var take = require( '@stdlib/array/base/take-indexed' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two two-dimensional input ndarrays according to a two-dimensional boolean ndarray and assigns results to elements in a two-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing first input ndarray meta data
+* @param {*} 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 {Object} y - object containing second input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1 ] );
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] );
+* var obuf = new Float64Array( 4 );
+*
+* // Define the shape of the arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 2, 1 ];
+* var sx = [ 4, 1 ];
+* var sy = [ 2, 1 ];
+* var so = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 1;
+* var oy = 0;
+* var oo = 0;
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere2d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ 2.0, 20.0, 30.0, 5.0 ]
+*/
+function blockedwhere2d( condition, x, y, out ) {
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dx0;
+	var dx1;
+	var dy0;
+	var dy1;
+	var do0;
+	var do1;
+	var oc1;
+	var ox1;
+	var oy1;
+	var oo1;
+	var sh;
+	var s0;
+	var s1;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order using x as the reference array.
+	o = loopOrder( x.shape, x.strides, out.strides );
+	sh = o.sh;
+	sx = o.sx;
+	so = o.sy;
+
+	// Apply the same dimension permutation to condition and y strides so that
+	sc = take( condition.strides, o.idx );
+	sy = take( y.strides, o.idx );
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the inputs and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+    // Cache offset increments for the innermost loop...
+	dc0 = sc[ 0 ];
+	dx0 = sx[ 0 ];
+	dy0 = sy[ 0 ];
+	do0 = so[ 0 ];
+
+	// Iterate over blocks...
+	for ( j1 = sh[ 1 ]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		oc1 = oc + ( j1*sc[ 1 ] );
+		ox1 = ox + ( j1*sx[ 1 ] );
+		oy1 = oy + ( j1*sy[ 1 ] );
+		oo1 = oo + ( j1*so[ 1 ] );
+		for ( j0 = sh[ 0 ]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute index offsets for the first inputs and output ndarray elements in the current block...
+			ic = oc1 + ( j0*sc[ 0 ] );
+			ix = ox1 + ( j0*sx[ 0 ] );
+			iy = oy1 + ( j0*sy[ 0 ] );
+			io = oo1 + ( j0*so[ 0 ] );
+
+			// Compute loop offset increments...
+			dc1 = sc[ 1 ] - ( s0*sc[ 0 ] );
+			dx1 = sx[ 1 ] - ( s0*sx[ 0 ] );
+			dy1 = sy[ 1 ] - ( s0*sy[ 0 ] );
+			do1 = so[ 1 ] - ( s0*so[ 0 ] );
+
+			// Iterate over the ndarray dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+					ic += dc0;
+					ix += dx0;
+					iy += dy0;
+					io += do0;
+				}
+				ic += dc1;
+				ix += dx1;
+				iy += dy1;
+				io += do1;
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere2d;

From cec872e9693dc8185c02fec3212211d7784abd45 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 4 Mar 2026 23:39:52 +0200
Subject: [PATCH 05/33] perf: use ternary loopOrder instead of unary

---
 .../ndarray/base/where/lib/2d_blocked.js      | 21 +++++++++----------
 1 file changed, 10 insertions(+), 11 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
index a00f420279ce..8afe001594e2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
@@ -20,9 +20,8 @@
 
 // MODULES //
 
-var loopOrder = require( '@stdlib/ndarray/base/unary-loop-interchange-order' );
+var loopOrder = require( '@stdlib/ndarray/base/ternary-loop-interchange-order' );
 var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
-var take = require( '@stdlib/array/base/take-indexed' );
 
 
 // MAIN //
@@ -167,15 +166,15 @@ function blockedwhere2d( condition, x, y, out ) {
 
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
-	// Resolve the loop interchange order using x as the reference array.
-	o = loopOrder( x.shape, x.strides, out.strides );
-	sh = o.sh;
-	sx = o.sx;
-	so = o.sy;
-
-	// Apply the same dimension permutation to condition and y strides so that
-	sc = take( condition.strides, o.idx );
-	sy = take( y.strides, o.idx );
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	
+    // Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+    sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+    sy = o.sz;
+	so = o.sw;
 
 	// Determine the block size:
 	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );

From 1c48565c6c2279e2b01da2317f70b3d3a9a55332 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 4 Mar 2026 23:46:28 +0200
Subject: [PATCH 06/33] refactor: use proper indentation to follow editorconfig

---
 .../@stdlib/ndarray/base/where/lib/2d_accessors.js     | 10 +++++-----
 .../@stdlib/ndarray/base/where/lib/2d_blocked.js       | 10 +++++-----
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
index 8cc812765be0..768cb14a9b82 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
@@ -192,11 +192,11 @@ function where2d( condition, x, y, out, isRowMajor ) {
 	ybuf = y.data;
 	obuf = out.data;
 
-    // Cache accessors
-    getx = x.accessors[ 0 ];
-    gety = y.accessors[ 0 ];
-    getc = condition.accessors[ 0 ];
-    seto = out.accessors[ 1 ];
+	// Cache accessors
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	getc = condition.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
 
 	// Iterate over the ndarray dimensions...
 	for ( i1 = 0; i1 < S1; i1++ ) {
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
index 8afe001594e2..4ca7048e761b 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
@@ -168,12 +168,12 @@ function blockedwhere2d( condition, x, y, out ) {
 
 	// Resolve the loop interchange order:
 	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
-	
-    // Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
-    sh = o.sh;
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
 	sc = o.sx;
 	sx = o.sy;
-    sy = o.sz;
+	sy = o.sz;
 	so = o.sw;
 
 	// Determine the block size:
@@ -191,7 +191,7 @@ function blockedwhere2d( condition, x, y, out ) {
 	ybuf = y.data;
 	obuf = out.data;
 
-    // Cache offset increments for the innermost loop...
+	// Cache offset increments for the innermost loop...
 	dc0 = sc[ 0 ];
 	dx0 = sx[ 0 ];
 	dy0 = sy[ 0 ];

From ccad894518bf07a717687e84b3fb5ce2d70c8e23 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 4 Mar 2026 23:49:58 +0200
Subject: [PATCH 07/33] refactor: disable max-len rule

---
 lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
index 1e96e56121e9..8b3cb4bc1158 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
@@ -120,7 +120,7 @@
 * // => <Float64Array>[ 1.0 ]
 */
 function where0d( condition, x, y, out ) {
-    out.accessors[ 1 ]( out.data, out.offset, ( condition.accessors[ 0 ]( condition.data, condition.offset ) ) ? x.accessors[ 0 ]( x.data, x.offset ) : y.accessors[ 0 ]( y.data, y.offset ) );
+	out.accessors[ 1 ]( out.data, out.offset, ( condition.accessors[ 0 ]( condition.data, condition.offset ) ) ? x.accessors[ 0 ]( x.data, x.offset ) : y.accessors[ 0 ]( y.data, y.offset ) ); // eslint-disable-line max-len
 }
 
 

From 2df0faf8af8239d580eea4195940d9c4f6cdd4c5 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Thu, 5 Mar 2026 00:03:40 +0200
Subject: [PATCH 08/33] docs: fix the jsdoc to set the accessors

---
 .../ndarray/base/where/lib/0d_accessors.js    | 50 +++++++++++++------
 .../ndarray/base/where/lib/2d_accessors.js    | 50 +++++++++++++------
 2 files changed, 70 insertions(+), 30 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
index 8b3cb4bc1158..8c28cf1251c4 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
@@ -55,14 +55,16 @@
 * @returns {void}
 *
 * @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var Uint8Array = require( '@stdlib/array/uint8' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
 *
 * // Create data buffers:
-* var cbuf = new Uint8Array( [ 1 ] );
-* var xbuf = new Float64Array( [ 1.0 ] );
-* var ybuf = new Float64Array( [ 2.0 ] );
-* var obuf = new Float64Array( 1 );
+* var cbuf = new BooleanArray( [ 1 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0 ] );
+* var ybuf = new Complex64Array( [ 3.0, 4.0 ] );
+* var obuf = new Complex64Array( 1 );
 *
 * // Define the shape of the arrays (0-dimensional = scalar):
 * var shape = [];
@@ -79,6 +81,15 @@
 * var oy = 0;
 * var oo = 0;
 *
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
 * // Create the ndarray-like objects:
 * var condition = {
 *     'dtype': 'uint8',
@@ -86,38 +97,47 @@
 *     'shape': shape,
 *     'strides': sc,
 *     'offset': oc,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 * var x = {
-*     'dtype': 'float64',
+*     'dtype': 'complex64',
 *     'data': xbuf,
 *     'shape': shape,
 *     'strides': sx,
 *     'offset': ox,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 * var y = {
-*     'dtype': 'float64',
+*     'dtype': 'complex64',
 *     'data': ybuf,
 *     'shape': shape,
 *     'strides': sy,
 *     'offset': oy,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 * var out = {
-*     'dtype': 'float64',
+*     'dtype': 'complex64',
 *     'data': obuf,
 *     'shape': shape,
 *     'strides': so,
 *     'offset': oo,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 *
 * // Apply the condition:
 * where0d( condition, x, y, out );
 *
-* console.log( out.data );
-* // => <Float64Array>[ 1.0 ]
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
 */
 function where0d( condition, x, y, out ) {
 	out.accessors[ 1 ]( out.data, out.offset, ( condition.accessors[ 0 ]( condition.data, condition.offset ) ) ? x.accessors[ 0 ]( x.data, x.offset ) : y.accessors[ 0 ]( y.data, y.offset ) ); // eslint-disable-line max-len
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
index 768cb14a9b82..6a7d12f9030d 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
@@ -56,14 +56,16 @@
 * @returns {void}
 *
 * @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var Uint8Array = require( '@stdlib/array/uint8' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
 *
 * // Create data buffers:
-* var cbuf = new Uint8Array( [ 1, 0, 0, 1 ] );
-* var xbuf = new Float64Array( [  1.0,  2.0,  3.0,  4.0 ] );
-* var ybuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0 ] );
-* var obuf = new Float64Array( 4 );
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
 *
 * // Define the shape of the arrays:
 * var shape = [ 2, 2 ];
@@ -80,6 +82,15 @@
 * var oy = 0;
 * var oo = 0;
 *
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
 * // Create the ndarray-like objects:
 * var condition = {
 *     'dtype': 'uint8',
@@ -87,38 +98,47 @@
 *     'shape': shape,
 *     'strides': sc,
 *     'offset': oc,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 * var x = {
-*     'dtype': 'float64',
+*     'dtype': 'complex64',
 *     'data': xbuf,
 *     'shape': shape,
 *     'strides': sx,
 *     'offset': ox,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 * var y = {
-*     'dtype': 'float64',
+*     'dtype': 'complex64',
 *     'data': ybuf,
 *     'shape': shape,
 *     'strides': sy,
 *     'offset': oy,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 * var out = {
-*     'dtype': 'float64',
+*     'dtype': 'complex64',
 *     'data': obuf,
 *     'shape': shape,
 *     'strides': so,
 *     'offset': oo,
-*     'order': 'row-major'
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
 * };
 *
 * // Apply the condition:
 * where2d( condition, x, y, out, true );
 *
-* console.log( out.data );
-* // => <Float64Array>[ 1.0, -2.0, -3.0, 4.0 ]
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
 */
 function where2d( condition, x, y, out, isRowMajor ) {
 	var cbuf;

From 5b71c611114eb8f53a8924d9067ec168fed0cbb0 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Thu, 5 Mar 2026 00:31:02 +0200
Subject: [PATCH 09/33] fix: create getters and setters cache variables

---
 lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js     | 2 +-
 .../@stdlib/ndarray/base/where/lib/2d_accessors.js        | 8 ++++++--
 .../@stdlib/ndarray/base/where/lib/2d_blocked.js          | 4 ++--
 3 files changed, 9 insertions(+), 5 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js
index ec0d8b92d1da..4b2d066dde26 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d.js
@@ -120,7 +120,7 @@
 * // => <Float64Array>[ 1.0 ]
 */
 function where0d( condition, x, y, out ) {
-	out.data[ out.offset ] = ( condition.data[ condition.offset ] ) ? x.data[ x.offset ] : y.data[ y.offset ];
+	out.data[ out.offset ] = ( condition.data[ condition.offset ] ) ? x.data[ x.offset ] : y.data[ y.offset ]; // eslint-disable-line max-len
 }
 
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
index 6a7d12f9030d..823adb1a0cc2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
@@ -145,6 +145,10 @@ function where2d( condition, x, y, out, isRowMajor ) {
 	var xbuf;
 	var ybuf;
 	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
 	var dc0;
 	var dc1;
 	var dx0;
@@ -213,15 +217,15 @@ function where2d( condition, x, y, out, isRowMajor ) {
 	obuf = out.data;
 
 	// Cache accessors
+	getc = condition.accessors[ 0 ];
 	getx = x.accessors[ 0 ];
 	gety = y.accessors[ 0 ];
-	getc = condition.accessors[ 0 ];
 	seto = out.accessors[ 1 ];
 
 	// Iterate over the ndarray dimensions...
 	for ( i1 = 0; i1 < S1; i1++ ) {
 		for ( i0 = 0; i0 < S0; i0++ ) {
-			seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+			seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 			ic += dc0;
 			ix += dx0;
 			iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
index 4ca7048e761b..4972c535f5d7 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked.js
@@ -123,7 +123,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * blockedwhere2d( condition, x, y, out );
 *
 * console.log( out.data );
-* // => <Float64Array>[ 2.0, 20.0, 30.0, 5.0 ]
+* // => <Float64Array>[ 2.0, 20.0, 30.0, 7.0 ]
 */
 function blockedwhere2d( condition, x, y, out ) {
 	var bsize;
@@ -167,7 +167,7 @@ function blockedwhere2d( condition, x, y, out ) {
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;

From c1ddf9bf2689239eaf77303dc0821ca409780b1c Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Thu, 5 Mar 2026 00:59:54 +0200
Subject: [PATCH 10/33] feat: add 2d blocked accessors

---
 .../ndarray/base/where/lib/2d_accessors.js    |   2 +-
 .../base/where/lib/2d_blocked_accessors.js    | 284 ++++++++++++++++++
 2 files changed, 285 insertions(+), 1 deletion(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
index 823adb1a0cc2..a34e80e9d1f0 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
@@ -93,7 +93,7 @@
 *
 * // Create the ndarray-like objects:
 * var condition = {
-*     'dtype': 'uint8',
+*     'dtype': 'bool',
 *     'data': cbuf,
 *     'shape': shape,
 *     'strides': sc,
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
new file mode 100644
index 000000000000..440dfceee7de
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
@@ -0,0 +1,284 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two two-dimensional input ndarrays according to a two-dimensional boolean ndarray and assigns results to elements in a two-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing first input ndarray meta data
+* @param {*} 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 {Object} y - object containing second input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 2, 1 ];
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+* var so = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere2d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere2d( condition, x, y, out ) {
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dx0;
+	var dx1;
+	var dy0;
+	var dy1;
+	var do0;
+	var do1;
+	var oc1;
+	var ox1;
+	var oy1;
+	var oo1;
+	var sh;
+	var s0;
+	var s1;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the inputs and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[ 0 ];
+	dx0 = sx[ 0 ];
+	dy0 = sy[ 0 ];
+	do0 = so[ 0 ];
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over blocks...
+	for ( j1 = sh[ 1 ]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		oc1 = oc + ( j1*sc[ 1 ] );
+		ox1 = ox + ( j1*sx[ 1 ] );
+		oy1 = oy + ( j1*sy[ 1 ] );
+		oo1 = oo + ( j1*so[ 1 ] );
+		for ( j0 = sh[ 0 ]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute index offsets for the first inputs and output ndarray elements in the current block...
+			ic = oc1 + ( j0*sc[ 0 ] );
+			ix = ox1 + ( j0*sx[ 0 ] );
+			iy = oy1 + ( j0*sy[ 0 ] );
+			io = oo1 + ( j0*so[ 0 ] );
+
+			// Compute loop offset increments...
+			dc1 = sc[ 1 ] - ( s0*sc[ 0 ] );
+			dx1 = sx[ 1 ] - ( s0*sx[ 0 ] );
+			dy1 = sy[ 1 ] - ( s0*sy[ 0 ] );
+			do1 = so[ 1 ] - ( s0*so[ 0 ] );
+
+			// Iterate over the ndarray dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+					ic += dc0;
+					ix += dx0;
+					iy += dy0;
+					io += do0;
+				}
+				ic += dc1;
+				ix += dx1;
+				iy += dy1;
+				io += do1;
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere2d;

From b672f6663f1d5262681efc82211090dad23f2c66 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Thu, 5 Mar 2026 01:25:04 +0200
Subject: [PATCH 11/33] feat: add 1d and its accessors version

---
 .../@stdlib/ndarray/base/where/lib/1d.js      | 172 +++++++++++++++
 .../ndarray/base/where/lib/1d_accessors.js    | 202 ++++++++++++++++++
 .../base/where/lib/2d_blocked_accessors.js    |   2 +-
 3 files changed, 375 insertions(+), 1 deletion(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js
new file mode 100644
index 000000000000..2bbd193c81b1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js
@@ -0,0 +1,172 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two one-dimensional input ndarrays according to a one-dimensional boolean ndarray and assigns results to elements in a one-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 1, 0 ] );
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Float64Array( [-1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0] );
+* var obuf = new Float64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sc = [ 1 ];
+* var sx = [ 2 ];
+* var sy = [ 2 ];
+* var so = [ 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where1d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ 1.0, -3.0, 5.0, -7.0 ]
+*/
+function where1d( condition, x, y, out ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dx0;
+	var dy0;
+	var do0;
+	var S0;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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 ];
+	dc0 = condition.strides[ 0 ];
+	dx0 = x.strides[ 0 ];
+	dy0 = y.strides[ 0 ];
+	do0 = out.strides[ 0 ];
+
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+		ic += dc0;
+		ix += dx0;
+		iy += dy0;
+		io += do0;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
new file mode 100644
index 000000000000..ac9b27263e4e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
@@ -0,0 +1,202 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two one-dimensional input ndarrays according to a one-dimensional boolean ndarray and assigns results to elements in a one-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 1, 0, 1, 0, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [-1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sc = [ 1 ];
+* var sx = [ 1 ];
+* var sy = [ 1 ];
+* var so = [ 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where1d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where1d( condition, x, y, out ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dx0;
+	var dy0;
+	var do0;
+	var S0;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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 ];
+	dc0 = condition.strides[ 0 ];
+	dx0 = x.strides[ 0 ];
+	dy0 = y.strides[ 0 ];
+	do0 = out.strides[ 0 ];
+
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+		ic += dc0;
+		ix += dx0;
+		iy += dy0;
+		io += do0;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
index 440dfceee7de..8ee14429f6de 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
@@ -263,7 +263,7 @@ function blockedwhere2d( condition, x, y, out ) {
 			// Iterate over the ndarray dimensions...
 			for ( i1 = 0; i1 < s1; i1++ ) {
 				for ( i0 = 0; i0 < s0; i0++ ) {
-					seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+					seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 					ic += dc0;
 					ix += dx0;
 					iy += dy0;

From f470119eabebcd8a529b96e2ed847c8a90d34c89 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Thu, 5 Mar 2026 16:21:34 +0200
Subject: [PATCH 12/33] feat: add 3d implementations

---
 .../ndarray/base/where/lib/1d_accessors.js    |   2 +-
 .../@stdlib/ndarray/base/where/lib/3d.js      | 236 +++++++++++++
 .../ndarray/base/where/lib/3d_accessors.js    | 270 +++++++++++++++
 .../ndarray/base/where/lib/3d_blocked.js      | 289 ++++++++++++++++
 .../base/where/lib/3d_blocked_accessors.js    | 324 ++++++++++++++++++
 5 files changed, 1120 insertions(+), 1 deletion(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
index ac9b27263e4e..eb9a003f0783 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
@@ -188,7 +188,7 @@ function where1d( condition, x, y, out ) {
 
 	// Iterate over the ndarray dimensions...
 	for ( i0 = 0; i0 < S0; i0++ ) {
-		seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+		seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 		ic += dc0;
 		ix += dx0;
 		iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js
new file mode 100644
index 000000000000..a9daa0468938
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js
@@ -0,0 +1,236 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two three-dimensional input ndarrays according to a three-dimensional boolean ndarray and assigns results to elements in a three-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 1 ];
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 4, 4, 1 ];
+* var so = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where3d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where3d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dy0;
+	var dy1;
+	var dy2;
+	var do0;
+	var do1;
+	var do2;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 2 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 0 ];
+		dc0 = sc[ 2 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[2] );
+		dc2 = sc[ 0 ] - ( S1*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 2 ];
+		dx1 = sx[ 1 ] - ( S0*sx[2] );
+		dx2 = sx[ 0 ] - ( S1*sx[1] );
+		dy0 = sy[ 2 ];
+		dy1 = sy[ 1 ] - ( S0*sy[2] );
+		dy2 = sy[ 0 ] - ( S1*sy[1] );
+		do0 = so[ 2 ];
+		do1 = so[ 1 ] - ( S0*so[2] );
+		do2 = so[ 0 ] - ( S1*so[1] );
+	} 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 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i2 = 0; i2 < S2; i2++ ) {
+		for ( i1 = 0; i1 < S1; i1++ ) {
+			for ( i0 = 0; i0 < S0; i0++ ) {
+				obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+				ic += dc0;
+				ix += dx0;
+				iy += dy0;
+				io += do0;
+			}
+			ic += dc1;
+			ix += dx1;
+			iy += dy1;
+			io += do1;
+		}
+		ic += dc2;
+		ix += dx2;
+		iy += dy2;
+		io += do2;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js
new file mode 100644
index 000000000000..2063cc2d54f9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js
@@ -0,0 +1,270 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two three-dimensional input ndarrays according to a three-dimensional boolean ndarray and assigns results to elements in a three-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [  1.0,  2.0,  3.0,  4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the arrays:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 2, 1 ];
+* var sx = [ 4, 2, 1 ];
+* var sy = [ 4, 2, 1 ];
+* var so = [ 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where3d( condition, x, y, out, true );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where3d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dy0;
+	var dy1;
+	var dy2;
+	var do0;
+	var do1;
+	var do2;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 2 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 0 ];
+		dc0 = sc[ 2 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[2] );
+		dc2 = sc[ 0 ] - ( S1*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 2 ];
+		dx1 = sx[ 1 ] - ( S0*sx[2] );
+		dx2 = sx[ 0 ] - ( S1*sx[1] );
+		dy0 = sy[ 2 ];
+		dy1 = sy[ 1 ] - ( S0*sy[2] );
+		dy2 = sy[ 0 ] - ( S1*sy[1] );
+		do0 = so[ 2 ];
+		do1 = so[ 1 ] - ( S0*so[2] );
+		do2 = so[ 0 ] - ( S1*so[1] );
+	} 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 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i2 = 0; i2 < S2; i2++ ) {
+		for ( i1 = 0; i1 < S1; i1++ ) {
+			for ( i0 = 0; i0 < S0; i0++ ) {
+				seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
+				ic += dc0;
+				ix += dx0;
+				iy += dy0;
+				io += do0;
+			}
+			ic += dc1;
+			ix += dx1;
+			iy += dy1;
+			io += do1;
+		}
+		ic += dc2;
+		ix += dx2;
+		iy += dy2;
+		io += do2;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js
new file mode 100644
index 000000000000..daee38886601
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js
@@ -0,0 +1,289 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two three-dimensional input ndarrays according to a three-dimensional boolean ndarray and assigns results to elements in a three-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing output ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 1 ];
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 4, 4, 1 ];
+* var so = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere3d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, 10.0, 11.0 ]
+*/
+function blockedwhere3d( condition, x, y, out ) {
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dy0;
+	var dy1;
+	var dy2;
+	var do0;
+	var do1;
+	var do2;
+	var oc1;
+	var oc2;
+	var ox1;
+	var ox2;
+	var oy1;
+	var oy2;
+	var oo1;
+	var oo2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		oc2 = oc + ( j2*sc[2] );
+		ox2 = ox + ( j2*sx[2] );
+		oy2 = oy + ( j2*sy[2] );
+		oo2 = oo + ( j2*so[2] );
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			dc2 = sc[2] - ( s1*sc[1] );
+			dx2 = sx[2] - ( s1*sx[1] );
+			dy2 = sy[2] - ( s1*sy[1] );
+			do2 = so[2] - ( s1*so[1] );
+			oc1 = oc2 + ( j1*sc[1] );
+			ox1 = ox2 + ( j1*sx[1] );
+			oy1 = oy2 + ( j1*sy[1] );
+			oo1 = oo2 + ( j1*so[1] );
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute index offsets for the first input and output ndarray elements in the current block...
+				ic = oc1 + ( j0*sc[0] );
+				ix = ox1 + ( j0*sx[0] );
+				iy = oy1 + ( j0*sy[0] );
+				io = oo1 + ( j0*so[0] );
+
+				// Compute loop offset increments...
+				dc1 = sc[1] - ( s0*sc[0] );
+				dx1 = sx[1] - ( s0*sx[0] );
+				dy1 = sy[1] - ( s0*sy[0] );
+				do1 = so[1] - ( s0*so[0] );
+
+				// Iterate over the ndarray dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
+							ic += dc0;
+							ix += dx0;
+							iy += dy0;
+							io += do0;
+						}
+						ic += dc1;
+						ix += dx1;
+						iy += dy1;
+						io += do1;
+					}
+					ic += dc2;
+					ix += dx2;
+					iy += dy2;
+					io += do2;
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js
new file mode 100644
index 000000000000..79b82778829e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js
@@ -0,0 +1,324 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two three-dimensional input ndarrays according to a three-dimensional boolean ndarray and assigns results to elements in a three-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing first input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing second input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 2, 1 ];
+* var sx = [ 4, 2, 1 ];
+* var sy = [ 4, 2, 1 ];
+* var so = [ 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere3d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere3d( condition, x, y, out ) {
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dy0;
+	var dy1;
+	var dy2;
+	var do0;
+	var do1;
+	var do2;
+	var oc1;
+	var oc2;
+	var ox1;
+	var ox2;
+	var oy1;
+	var oy2;
+	var oo1;
+	var oo2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		oc2 = oc + ( j2*sc[2] );
+		ox2 = ox + ( j2*sx[2] );
+		oy2 = oy + ( j2*sy[2] );
+		oo2 = oo + ( j2*so[2] );
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			dc2 = sc[2] - ( s1*sc[1] );
+			dx2 = sx[2] - ( s1*sx[1] );
+			dy2 = sy[2] - ( s1*sy[1] );
+			do2 = so[2] - ( s1*so[1] );
+			oc1 = oc2 + ( j1*sc[1] );
+			ox1 = ox2 + ( j1*sx[1] );
+			oy1 = oy2 + ( j1*sy[1] );
+			oo1 = oo2 + ( j1*so[1] );
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute index offsets for the first input and output ndarray elements in the current block...
+				ic = oc1 + ( j0*sc[0] );
+				ix = ox1 + ( j0*sx[0] );
+				iy = oy1 + ( j0*sy[0] );
+				io = oo1 + ( j0*so[0] );
+
+				// Compute loop offset increments...
+				dc1 = sc[1] - ( s0*sc[0] );
+				dx1 = sx[1] - ( s0*sx[0] );
+				dy1 = sy[1] - ( s0*sy[0] );
+				do1 = so[1] - ( s0*so[0] );
+
+				// Iterate over the ndarray dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+							ic += dc0;
+							ix += dx0;
+							iy += dy0;
+							io += do0;
+						}
+						ic += dc1;
+						ix += dx1;
+						iy += dy1;
+						io += do1;
+					}
+					ic += dc2;
+					ix += dx2;
+					iy += dy2;
+					io += do2;
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere3d;

From fefa9ab1936a9580ef5d261903923ca52c3f1d18 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Thu, 5 Mar 2026 17:08:17 +0200
Subject: [PATCH 13/33] feat: add 4d implementations

---
 .../@stdlib/ndarray/base/where/lib/4d.js      | 258 +++++++++++++
 .../ndarray/base/where/lib/4d_accessors.js    | 292 ++++++++++++++
 .../ndarray/base/where/lib/4d_blocked.js      | 325 ++++++++++++++++
 .../base/where/lib/4d_blocked_accessors.js    | 359 ++++++++++++++++++
 4 files changed, 1234 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js
new file mode 100644
index 000000000000..7e9d72e6f5e1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js
@@ -0,0 +1,258 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two four-dimensional input ndarrays according to a four-dimensional boolean ndarray and assigns results to elements in a four-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 4, 4, 1 ];
+* var sx = [ 12, 4, 4, 1 ];
+* var sy = [ 12, 4, 4, 1 ];
+* var so = [ 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where4d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where4d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 3 ];
+		S1 = sh[ 2 ];
+		S2 = sh[ 1 ];
+		S3 = sh[ 0 ];
+		dc0 = sc[ 3 ];                // offset increment for innermost loop
+		dc1 = sc[ 2 ] - ( S0*sc[3] );
+		dc2 = sc[ 1 ] - ( S1*sc[2] );
+		dc3 = sc[ 0 ] - ( S2*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 3 ];
+		dx1 = sx[ 2 ] - ( S0*sx[3] );
+		dx2 = sx[ 1 ] - ( S1*sx[2] );
+		dx3 = sx[ 0 ] - ( S2*sx[1] );
+		dy0 = sy[ 3 ];
+		dy1 = sy[ 2 ] - ( S0*sy[3] );
+		dy2 = sy[ 1 ] - ( S1*sy[2] );
+		dy3 = sy[ 0 ] - ( S2*sy[1] );
+		do0 = so[ 3 ];
+		do1 = so[ 2 ] - ( S0*so[3] );
+		do2 = so[ 1 ] - ( S1*so[2] );
+		do3 = so[ 0 ] - ( S2*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i3 = 0; i3 < S3; i3++ ) {
+		for ( i2 = 0; i2 < S2; i2++ ) {
+			for ( i1 = 0; i1 < S1; i1++ ) {
+				for ( i0 = 0; i0 < S0; i0++ ) {
+					obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+					ic += dc0;
+					ix += dx0;
+					iy += dy0;
+					io += do0;
+				}
+				ic += dc1;
+				ix += dx1;
+				iy += dy1;
+				io += do1;
+			}
+			ic += dc2;
+			ix += dx2;
+			iy += dy2;
+			io += do2;
+		}
+		ic += dc3;
+		ix += dx3;
+		iy += dy3;
+		io += do3;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js
new file mode 100644
index 000000000000..71fe05836f99
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js
@@ -0,0 +1,292 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two four-dimensional input ndarrays according to a four-dimensional boolean ndarray and assigns results to elements in a four-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 2, 1 ];
+* var so = [ 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where4d( condition, x, y, out, true );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where4d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 3 ];
+		S1 = sh[ 2 ];
+		S2 = sh[ 1 ];
+		S3 = sh[ 0 ];
+		dc0 = sc[ 3 ];                // offset increment for innermost loop
+		dc1 = sc[ 2 ] - ( S0*sc[3] );
+		dc2 = sc[ 1 ] - ( S1*sc[2] );
+		dc3 = sc[ 0 ] - ( S2*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 3 ];
+		dx1 = sx[ 2 ] - ( S0*sx[3] );
+		dx2 = sx[ 1 ] - ( S1*sx[2] );
+		dx3 = sx[ 0 ] - ( S2*sx[1] );
+		dy0 = sy[ 3 ];
+		dy1 = sy[ 2 ] - ( S0*sy[3] );
+		dy2 = sy[ 1 ] - ( S1*sy[2] );
+		dy3 = sy[ 0 ] - ( S2*sy[1] );
+		do0 = so[ 3 ];
+		do1 = so[ 2 ] - ( S0*so[3] );
+		do2 = so[ 1 ] - ( S1*so[2] );
+		do3 = so[ 0 ] - ( S2*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i3 = 0; i3 < S3; i3++ ) {
+		for ( i2 = 0; i2 < S2; i2++ ) {
+			for ( i1 = 0; i1 < S1; i1++ ) {
+				for ( i0 = 0; i0 < S0; i0++ ) {
+					seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+					ic += dc0;
+					ix += dx0;
+					iy += dy0;
+					io += do0;
+				}
+				ic += dc1;
+				ix += dx1;
+				iy += dy1;
+				io += do1;
+			}
+			ic += dc2;
+			ix += dx2;
+			iy += dy2;
+			io += do2;
+		}
+		ic += dc3;
+		ix += dx3;
+		iy += dy3;
+		io += do3;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js
new file mode 100644
index 000000000000..0d69e5036bf6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js
@@ -0,0 +1,325 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two four-dimensional input ndarrays according to a four-dimensional boolean ndarray and assigns results to elements in a four-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 4, 4, 1 ];
+* var sx = [ 12, 4, 4, 1 ];
+* var sy = [ 12, 4, 4, 1 ];
+* var so = [ 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Copy elements:
+* blockedwhere4d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function blockedwhere4d( condition, x, y, out ) {
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var oc1;
+	var oc2;
+	var oc3;
+	var ox1;
+	var ox2;
+	var ox3;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oo1;
+	var oo2;
+	var oo3;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, o.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j3 = sh[3]; j3 > 0; ) {
+		if ( j3 < bsize ) {
+			s3 = j3;
+			j3 = 0;
+		} else {
+			s3 = bsize;
+			j3 -= bsize;
+		}
+		oc3 = oc + ( j3*sc[3] );
+		ox3 = ox + ( j3*sx[3] );
+		oy3 = oy + ( j3*sy[3] );
+		oo3 = oo + ( j3*so[3] );
+		for ( j2 = sh[2]; j2 > 0; ) {
+			if ( j2 < bsize ) {
+				s2 = j2;
+				j2 = 0;
+			} else {
+				s2 = bsize;
+				j2 -= bsize;
+			}
+			dc3 = sc[3] - ( s2*sc[2] );
+			dx3 = sx[3] - ( s2*sx[2] );
+			dy3 = sy[3] - ( s2*sy[2] );
+			do3 = so[3] - ( s2*so[2] );
+			oc2 = oc3 + ( j2*sc[2] );
+			ox2 = ox3 + ( j2*sx[2] );
+			oy2 = oy3 + ( j2*sy[2] );
+			oo2 = oo3 + ( j2*so[2] );
+			for ( j1 = sh[1]; j1 > 0; ) {
+				if ( j1 < bsize ) {
+					s1 = j1;
+					j1 = 0;
+				} else {
+					s1 = bsize;
+					j1 -= bsize;
+				}
+				dc2 = sc[2] - ( s1*sc[1] );
+				dx2 = sx[2] - ( s1*sx[1] );
+				dy2 = sy[2] - ( s1*sy[1] );
+				do2 = so[2] - ( s1*so[1] );
+				oc1 = oc2 + ( j1*sc[1] );
+				ox1 = ox2 + ( j1*sx[1] );
+				oy1 = oy2 + ( j1*sy[1] );
+				oo1 = oo2 + ( j1*so[1] );
+				for ( j0 = sh[0]; j0 > 0; ) {
+					if ( j0 < bsize ) {
+						s0 = j0;
+						j0 = 0;
+					} else {
+						s0 = bsize;
+						j0 -= bsize;
+					}
+					// Compute index offsets for the first input and output ndarray elements in the current block...
+					ic = oc1 + ( j0*sc[0] );
+					ix = ox1 + ( j0*sx[0] );
+					iy = oy1 + ( j0*sy[0] );
+					io = oo1 + ( j0*so[0] );
+
+					// Compute loop offset increments...
+					dc1 = sc[1] - ( s0*sc[0] );
+					dx1 = sx[1] - ( s0*sx[0] );
+					dy1 = sy[1] - ( s0*sy[0] );
+					do1 = so[1] - ( s0*so[0] );
+
+					// Iterate over the ndarray dimensions...
+					for ( i3 = 0; i3 < s3; i3++ ) {
+						for ( i2 = 0; i2 < s2; i2++ ) {
+							for ( i1 = 0; i1 < s1; i1++ ) {
+								for ( i0 = 0; i0 < s0; i0++ ) {
+									obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+									ic += dc0;
+									ix += dx0;
+									iy += dy0;
+									io += do0;
+								}
+								ic += dc1;
+								ix += dx1;
+								iy += dy1;
+								io += do1;
+							}
+							ic += dc2;
+							ix += dx2;
+							iy += dy2;
+							io += do2;
+						}
+						ic += dc3;
+						ix += dx3;
+						iy += dy3;
+						io += do3;
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js
new file mode 100644
index 000000000000..a86b7dfdcfb5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js
@@ -0,0 +1,359 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two four-dimensional input ndarrays according to a four-dimensional boolean ndarray and assigns results to elements in a four-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' )
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 2, 1 ];
+* var so = [ 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Copy elements:
+* blockedwhere4d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere4d( condition, x, y, out ) {
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var oc1;
+	var oc2;
+	var oc3;
+	var ox1;
+	var ox2;
+	var ox3;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oo1;
+	var oo2;
+	var oo3;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, o.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over blocks...
+	for ( j3 = sh[3]; j3 > 0; ) {
+		if ( j3 < bsize ) {
+			s3 = j3;
+			j3 = 0;
+		} else {
+			s3 = bsize;
+			j3 -= bsize;
+		}
+		oc3 = oc + ( j3*sc[3] );
+		ox3 = ox + ( j3*sx[3] );
+		oy3 = oy + ( j3*sy[3] );
+		oo3 = oo + ( j3*so[3] );
+		for ( j2 = sh[2]; j2 > 0; ) {
+			if ( j2 < bsize ) {
+				s2 = j2;
+				j2 = 0;
+			} else {
+				s2 = bsize;
+				j2 -= bsize;
+			}
+			dc3 = sc[3] - ( s2*sc[2] );
+			dx3 = sx[3] - ( s2*sx[2] );
+			dy3 = sy[3] - ( s2*sy[2] );
+			do3 = so[3] - ( s2*so[2] );
+			oc2 = oc3 + ( j2*sc[2] );
+			ox2 = ox3 + ( j2*sx[2] );
+			oy2 = oy3 + ( j2*sy[2] );
+			oo2 = oo3 + ( j2*so[2] );
+			for ( j1 = sh[1]; j1 > 0; ) {
+				if ( j1 < bsize ) {
+					s1 = j1;
+					j1 = 0;
+				} else {
+					s1 = bsize;
+					j1 -= bsize;
+				}
+				dc2 = sc[2] - ( s1*sc[1] );
+				dx2 = sx[2] - ( s1*sx[1] );
+				dy2 = sy[2] - ( s1*sy[1] );
+				do2 = so[2] - ( s1*so[1] );
+				oc1 = oc2 + ( j1*sc[1] );
+				ox1 = ox2 + ( j1*sx[1] );
+				oy1 = oy2 + ( j1*sy[1] );
+				oo1 = oo2 + ( j1*so[1] );
+				for ( j0 = sh[0]; j0 > 0; ) {
+					if ( j0 < bsize ) {
+						s0 = j0;
+						j0 = 0;
+					} else {
+						s0 = bsize;
+						j0 -= bsize;
+					}
+					// Compute index offsets for the first input and output ndarray elements in the current block...
+					ic = oc1 + ( j0*sc[0] );
+					ix = ox1 + ( j0*sx[0] );
+					iy = oy1 + ( j0*sy[0] );
+					io = oo1 + ( j0*so[0] );
+
+					// Compute loop offset increments...
+					dc1 = sc[1] - ( s0*sc[0] );
+					dx1 = sx[1] - ( s0*sx[0] );
+					dy1 = sy[1] - ( s0*sy[0] );
+					do1 = so[1] - ( s0*so[0] );
+
+					// Iterate over the ndarray dimensions...
+					for ( i3 = 0; i3 < s3; i3++ ) {
+						for ( i2 = 0; i2 < s2; i2++ ) {
+							for ( i1 = 0; i1 < s1; i1++ ) {
+								for ( i0 = 0; i0 < s0; i0++ ) {
+									seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+									ic += dc0;
+									ix += dx0;
+									iy += dy0;
+									io += do0;
+								}
+								ic += dc1;
+								ix += dx1;
+								iy += dy1;
+								io += do1;
+							}
+							ic += dc2;
+							ix += dx2;
+							iy += dy2;
+							io += do2;
+						}
+						ic += dc3;
+						ix += dx3;
+						iy += dy3;
+						io += do3;
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere4d;

From 1fba26161d9ed00602c91a729345d1043a2794cf Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 00:19:56 +0200
Subject: [PATCH 14/33] feat: add 5d implementations

---
 .../@stdlib/ndarray/base/where/lib/5d.js      | 281 +++++++++++++
 .../ndarray/base/where/lib/5d_accessors.js    | 316 ++++++++++++++
 .../ndarray/base/where/lib/5d_blocked.js      | 359 ++++++++++++++++
 .../base/where/lib/5d_blocked_accessors.js    | 393 ++++++++++++++++++
 4 files changed, 1349 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js
new file mode 100644
index 000000000000..a82bda751b06
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js
@@ -0,0 +1,281 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two five-dimensional input ndarrays according to a five-dimensional boolean ndarray and assigns results to elements in a five-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where5d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where5d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 4 ];
+		S1 = sh[ 3 ];
+		S2 = sh[ 2 ];
+		S3 = sh[ 1 ];
+		S4 = sh[ 0 ];
+		dc0 = sc[ 4 ];                // offset increment for innermost loop
+		dc1 = sc[ 3 ] - ( S0*sc[4] );
+		dc2 = sc[ 2 ] - ( S1*sc[3] );
+		dc3 = sc[ 1 ] - ( S2*sc[2] );
+		dc4 = sc[ 0 ] - ( S3*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 4 ];
+		dx1 = sx[ 3 ] - ( S0*sx[4] );
+		dx2 = sx[ 2 ] - ( S1*sx[3] );
+		dx3 = sx[ 1 ] - ( S2*sx[2] );
+		dx4 = sx[ 0 ] - ( S3*sx[1] );
+		dy0 = sy[ 4 ];
+		dy1 = sy[ 3 ] - ( S0*sy[4] );
+		dy2 = sy[ 2 ] - ( S1*sy[3] );
+		dy3 = sy[ 1 ] - ( S2*sy[2] );
+		dy4 = sy[ 0 ] - ( S3*sy[1] );
+		do0 = so[ 4 ];
+		do1 = so[ 3 ] - ( S0*so[4] );
+		do2 = so[ 2 ] - ( S1*so[3] );
+		do3 = so[ 1 ] - ( S2*so[2] );
+		do4 = so[ 0 ] - ( S3*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i4 = 0; i4 < S4; i4++ ) {
+		for ( i3 = 0; i3 < S3; i3++ ) {
+			for ( i2 = 0; i2 < S2; i2++ ) {
+				for ( i1 = 0; i1 < S1; i1++ ) {
+					for ( i0 = 0; i0 < S0; i0++ ) {
+						obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+						ic += dc0;
+						ix += dx0;
+						iy += dy0;
+						io += do0;
+					}
+					ic += dc1;
+					ix += dx1;
+					iy += dy1;
+					io += do1;
+				}
+				ic += dc2;
+				ix += dx2;
+				iy += dy2;
+				io += do2;
+			}
+			ic += dc3;
+			ix += dx3;
+			iy += dy3;
+			io += do3;
+		}
+		ic += dc4;
+		ix += dx4;
+		iy += dy4;
+		io += do4;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js
new file mode 100644
index 000000000000..b227d6283d41
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js
@@ -0,0 +1,316 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two five-dimensional input ndarrays according to a five-dimensional boolean ndarray and assigns results to elements in a five-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where5d( condition, x, y, out, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns -1.0
+*
+* var im = imagf( v );
+* // returns -2.0
+*/
+function where5d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 4 ];
+		S1 = sh[ 3 ];
+		S2 = sh[ 2 ];
+		S3 = sh[ 1 ];
+		S4 = sh[ 0 ];
+		dc0 = sc[ 4 ];                // offset increment for innermost loop
+		dc1 = sc[ 3 ] - ( S0*sc[4] );
+		dc2 = sc[ 2 ] - ( S1*sc[3] );
+		dc3 = sc[ 1 ] - ( S2*sc[2] );
+		dc4 = sc[ 0 ] - ( S3*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 4 ];
+		dx1 = sx[ 3 ] - ( S0*sx[4] );
+		dx2 = sx[ 2 ] - ( S1*sx[3] );
+		dx3 = sx[ 1 ] - ( S2*sx[2] );
+		dx4 = sx[ 0 ] - ( S3*sx[1] );
+		dy0 = sy[ 4 ];
+		dy1 = sy[ 3 ] - ( S0*sy[4] );
+		dy2 = sy[ 2 ] - ( S1*sy[3] );
+		dy3 = sy[ 1 ] - ( S2*sy[2] );
+		dy4 = sy[ 0 ] - ( S3*sy[1] );
+		do0 = so[ 4 ];
+		do1 = so[ 3 ] - ( S0*so[4] );
+		do2 = so[ 2 ] - ( S1*so[3] );
+		do3 = so[ 1 ] - ( S2*so[2] );
+		do4 = so[ 0 ] - ( S3*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i4 = 0; i4 < S4; i4++ ) {
+		for ( i3 = 0; i3 < S3; i3++ ) {
+			for ( i2 = 0; i2 < S2; i2++ ) {
+				for ( i1 = 0; i1 < S1; i1++ ) {
+					for ( i0 = 0; i0 < S0; i0++ ) {
+						seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+						ic += dc0;
+						ix += dx0;
+						iy += dy0;
+						io += do0;
+					}
+					ic += dc1;
+					ix += dx1;
+					iy += dy1;
+					io += do1;
+				}
+				ic += dc2;
+				ix += dx2;
+				iy += dy2;
+				io += do2;
+			}
+			ic += dc3;
+			ix += dx3;
+			iy += dy3;
+			io += do3;
+		}
+		ic += dc4;
+		ix += dx4;
+		iy += dy4;
+		io += do4;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js
new file mode 100644
index 000000000000..0f4d11cb9d0f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js
@@ -0,0 +1,359 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two five-dimensional input ndarrays according to a five-dimensional boolean ndarray and assigns results to elements in a five-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere5d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-statements
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j4 = sh[4]; j4 > 0; ) {
+		if ( j4 < bsize ) {
+			s4 = j4;
+			j4 = 0;
+		} else {
+			s4 = bsize;
+			j4 -= bsize;
+		}
+		oc4 = oc + ( j4*sc[4] );
+		ox4 = ox + ( j4*sx[4] );
+		oy4 = oy + ( j4*sy[4] );
+		oo4 = oo + ( j4*so[4] );
+		for ( j3 = sh[3]; j3 > 0; ) {
+			if ( j3 < bsize ) {
+				s3 = j3;
+				j3 = 0;
+			} else {
+				s3 = bsize;
+				j3 -= bsize;
+			}
+			dc4 = sc[4] - ( s3*sc[3] );
+			dx4 = sx[4] - ( s3*sx[3] );
+			dy4 = sy[4] - ( s3*sy[3] );
+			do4 = so[4] - ( s3*so[3] );
+			oc3 = oc4 + ( j3*sc[3] );
+			ox3 = ox4 + ( j3*sx[3] );
+			oy3 = oy4 + ( j3*sy[3] );
+			oo3 = oo4 + ( j3*so[3] );
+			for ( j2 = sh[2]; j2 > 0; ) {
+				if ( j2 < bsize ) {
+					s2 = j2;
+					j2 = 0;
+				} else {
+					s2 = bsize;
+					j2 -= bsize;
+				}
+				dc3 = sc[3] - ( s2*sc[2] );
+				dx3 = sx[3] - ( s2*sx[2] );
+				dy3 = sy[3] - ( s2*sy[2] );
+				do3 = so[3] - ( s2*so[2] );
+				oc2 = oc3 + ( j2*sc[2] );
+				ox2 = ox3 + ( j2*sx[2] );
+				oy2 = oy3 + ( j2*sy[2] );
+				oo2 = oo3 + ( j2*so[2] );
+				for ( j1 = sh[1]; j1 > 0; ) {
+					if ( j1 < bsize ) {
+						s1 = j1;
+						j1 = 0;
+					} else {
+						s1 = bsize;
+						j1 -= bsize;
+					}
+					dc2 = sc[2] - ( s1*sc[1] );
+					dx2 = sx[2] - ( s1*sx[1] );
+					dy2 = sy[2] - ( s1*sy[1] );
+					do2 = so[2] - ( s1*so[1] );
+					oc1 = oc2 + ( j1*sc[1] );
+					ox1 = ox2 + ( j1*sx[1] );
+					oy1 = oy2 + ( j1*sy[1] );
+					oo1 = oo2 + ( j1*so[1] );
+					for ( j0 = sh[0]; j0 > 0; ) {
+						if ( j0 < bsize ) {
+							s0 = j0;
+							j0 = 0;
+						} else {
+							s0 = bsize;
+							j0 -= bsize;
+						}
+						// Compute index offsets for the first input and output ndarray elements in the current block...
+						ic = oc1 + ( j0*sc[0] );
+						ix = ox1 + ( j0*sx[0] );
+						iy = oy1 + ( j0*sy[0] );
+						io = oo1 + ( j0*so[0] );
+
+						// Compute loop offset increments...
+						dc1 = sc[1] - ( s0*sc[0] );
+						dx1 = sx[1] - ( s0*sx[0] );
+						dy1 = sy[1] - ( s0*sy[0] );
+						do1 = so[1] - ( s0*so[0] );
+
+						// Iterate over the ndarray dimensions...
+						for ( i4 = 0; i4 < s4; i4++ ) {
+							for ( i3 = 0; i3 < s3; i3++ ) {
+								for ( i2 = 0; i2 < s2; i2++ ) {
+									for ( i1 = 0; i1 < s1; i1++ ) {
+										for ( i0 = 0; i0 < s0; i0++ ) {
+											obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+											ic += dc0;
+											ix += dx0;
+											iy += dy0;
+											io += do0;
+										}
+										ic += dc1;
+										ix += dx1;
+										iy += dy1;
+										io += do1;
+									}
+									ic += dc2;
+									ix += dx2;
+									iy += dy2;
+									io += do2;
+								}
+								ic += dc3;
+								ix += dx3;
+								iy += dy3;
+								io += do3;
+							}
+							ic += dc4;
+							ix += dx4;
+							iy += dy4;
+							io += do4;
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js
new file mode 100644
index 000000000000..cb7b8bd082e9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js
@@ -0,0 +1,393 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two five-dimensional input ndarrays according to a five-dimensional boolean ndarray and assigns results to elements in a five-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' )
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere5d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-statements
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over blocks...
+	for ( j4 = sh[4]; j4 > 0; ) {
+		if ( j4 < bsize ) {
+			s4 = j4;
+			j4 = 0;
+		} else {
+			s4 = bsize;
+			j4 -= bsize;
+		}
+		oc4 = oc + ( j4*sc[4] );
+		ox4 = ox + ( j4*sx[4] );
+		oy4 = oy + ( j4*sy[4] );
+		oo4 = oo + ( j4*so[4] );
+		for ( j3 = sh[3]; j3 > 0; ) {
+			if ( j3 < bsize ) {
+				s3 = j3;
+				j3 = 0;
+			} else {
+				s3 = bsize;
+				j3 -= bsize;
+			}
+			dc4 = sc[4] - ( s3*sc[3] );
+			dx4 = sx[4] - ( s3*sx[3] );
+			dy4 = sy[4] - ( s3*sy[3] );
+			do4 = so[4] - ( s3*so[3] );
+			oc3 = oc4 + ( j3*sc[3] );
+			ox3 = ox4 + ( j3*sx[3] );
+			oy3 = oy4 + ( j3*sy[3] );
+			oo3 = oo4 + ( j3*so[3] );
+			for ( j2 = sh[2]; j2 > 0; ) {
+				if ( j2 < bsize ) {
+					s2 = j2;
+					j2 = 0;
+				} else {
+					s2 = bsize;
+					j2 -= bsize;
+				}
+				dc3 = sc[3] - ( s2*sc[2] );
+				dx3 = sx[3] - ( s2*sx[2] );
+				dy3 = sy[3] - ( s2*sy[2] );
+				do3 = so[3] - ( s2*so[2] );
+				oc2 = oc3 + ( j2*sc[2] );
+				ox2 = ox3 + ( j2*sx[2] );
+				oy2 = oy3 + ( j2*sy[2] );
+				oo2 = oo3 + ( j2*so[2] );
+				for ( j1 = sh[1]; j1 > 0; ) {
+					if ( j1 < bsize ) {
+						s1 = j1;
+						j1 = 0;
+					} else {
+						s1 = bsize;
+						j1 -= bsize;
+					}
+					dc2 = sc[2] - ( s1*sc[1] );
+					dx2 = sx[2] - ( s1*sx[1] );
+					dy2 = sy[2] - ( s1*sy[1] );
+					do2 = so[2] - ( s1*so[1] );
+					oc1 = oc2 + ( j1*sc[1] );
+					ox1 = ox2 + ( j1*sx[1] );
+					oy1 = oy2 + ( j1*sy[1] );
+					oo1 = oo2 + ( j1*so[1] );
+					for ( j0 = sh[0]; j0 > 0; ) {
+						if ( j0 < bsize ) {
+							s0 = j0;
+							j0 = 0;
+						} else {
+							s0 = bsize;
+							j0 -= bsize;
+						}
+						// Compute index offsets for the first input and output ndarray elements in the current block...
+						ic = oc1 + ( j0*sc[0] );
+						ix = ox1 + ( j0*sx[0] );
+						iy = oy1 + ( j0*sy[0] );
+						io = oo1 + ( j0*so[0] );
+
+						// Compute loop offset increments...
+						dc1 = sc[1] - ( s0*sc[0] );
+						dx1 = sx[1] - ( s0*sx[0] );
+						dy1 = sy[1] - ( s0*sy[0] );
+						do1 = so[1] - ( s0*so[0] );
+
+						// Iterate over the ndarray dimensions...
+						for ( i4 = 0; i4 < s4; i4++ ) {
+							for ( i3 = 0; i3 < s3; i3++ ) {
+								for ( i2 = 0; i2 < s2; i2++ ) {
+									for ( i1 = 0; i1 < s1; i1++ ) {
+										for ( i0 = 0; i0 < s0; i0++ ) {
+											seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+											ic += dc0;
+											ix += dx0;
+											iy += dy0;
+											io += do0;
+										}
+										ic += dc1;
+										ix += dx1;
+										iy += dy1;
+										io += do1;
+									}
+									ic += dc2;
+									ix += dx2;
+									iy += dy2;
+									io += do2;
+								}
+								ic += dc3;
+								ix += dx3;
+								iy += dy3;
+								io += do3;
+							}
+							ic += dc4;
+							ix += dx4;
+							iy += dy4;
+							io += do4;
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere5d;

From b89c478e7d9443fe37b592178925fc6ef54f295f Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 01:01:38 +0200
Subject: [PATCH 15/33] feat: add 6d implementations

---
 .../@stdlib/ndarray/base/where/lib/6d.js      | 304 +++++++++++++
 .../ndarray/base/where/lib/6d_accessors.js    | 339 ++++++++++++++
 .../ndarray/base/where/lib/6d_blocked.js      | 393 ++++++++++++++++
 .../base/where/lib/6d_blocked_accessors.js    | 427 ++++++++++++++++++
 4 files changed, 1463 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js
new file mode 100644
index 000000000000..898fe0af7471
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js
@@ -0,0 +1,304 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two six-dimensional input ndarrays according to a six-dimensional boolean ndarray and assigns results to elements in a six-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where6d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where6d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+
+	// 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 5 ];
+		S1 = sh[ 4 ];
+		S2 = sh[ 3 ];
+		S3 = sh[ 2 ];
+		S4 = sh[ 1 ];
+		S5 = sh[ 0 ];
+		dc0 = sc[ 5 ];                // offset increment for innermost loop
+		dc1 = sc[ 4 ] - ( S0*sc[5] );
+		dc2 = sc[ 3 ] - ( S1*sc[4] );
+		dc3 = sc[ 2 ] - ( S2*sc[3] );
+		dc4 = sc[ 1 ] - ( S3*sc[2] );
+		dc5 = sc[ 0 ] - ( S4*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 5 ];
+		dx1 = sx[ 4 ] - ( S0*sx[5] );
+		dx2 = sx[ 3 ] - ( S1*sx[4] );
+		dx3 = sx[ 2 ] - ( S2*sx[3] );
+		dx4 = sx[ 1 ] - ( S3*sx[2] );
+		dx5 = sx[ 0 ] - ( S4*sx[1] );
+		dy0 = sy[ 5 ];
+		dy1 = sy[ 4 ] - ( S0*sy[5] );
+		dy2 = sy[ 3 ] - ( S1*sy[4] );
+		dy3 = sy[ 2 ] - ( S2*sy[3] );
+		dy4 = sy[ 1 ] - ( S3*sy[2] );
+		dy5 = sy[ 0 ] - ( S4*sy[1] );
+		do0 = so[ 5 ];
+		do1 = so[ 4 ] - ( S0*so[5] );
+		do2 = so[ 3 ] - ( S1*so[4] );
+		do3 = so[ 2 ] - ( S2*so[3] );
+		do4 = so[ 1 ] - ( S3*so[2] );
+		do5 = so[ 0 ] - ( S4*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i5 = 0; i5 < S5; i5++ ) {
+		for ( i4 = 0; i4 < S4; i4++ ) {
+			for ( i3 = 0; i3 < S3; i3++ ) {
+				for ( i2 = 0; i2 < S2; i2++ ) {
+					for ( i1 = 0; i1 < S1; i1++ ) {
+						for ( i0 = 0; i0 < S0; i0++ ) {
+							obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+							ic += dc0;
+							ix += dx0;
+							iy += dy0;
+							io += do0;
+						}
+						ic += dc1;
+						ix += dx1;
+						iy += dy1;
+						io += do1;
+					}
+					ic += dc2;
+					ix += dx2;
+					iy += dy2;
+					io += do2;
+				}
+				ic += dc3;
+				ix += dx3;
+				iy += dy3;
+				io += do3;
+			}
+			ic += dc4;
+			ix += dx4;
+			iy += dy4;
+			io += do4;
+		}
+		ic += dc5;
+		ix += dx5;
+		iy += dy5;
+		io += do5;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js
new file mode 100644
index 000000000000..f900be2f795e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js
@@ -0,0 +1,339 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two six-dimensional input ndarrays according to a six-dimensional boolean ndarray and assigns results to elements in a six-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where6d( condition, x, y, out, true );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where6d( condition, x, y, out, isRowMajor ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+
+	// 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 5 ];
+		S1 = sh[ 4 ];
+		S2 = sh[ 3 ];
+		S3 = sh[ 2 ];
+		S4 = sh[ 1 ];
+		S5 = sh[ 0 ];
+		dc0 = sc[ 5 ];                // offset increment for innermost loop
+		dc1 = sc[ 4 ] - ( S0*sc[5] );
+		dc2 = sc[ 3 ] - ( S1*sc[4] );
+		dc3 = sc[ 2 ] - ( S2*sc[3] );
+		dc4 = sc[ 1 ] - ( S3*sc[2] );
+		dc5 = sc[ 0 ] - ( S4*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 5 ];
+		dx1 = sx[ 4 ] - ( S0*sx[5] );
+		dx2 = sx[ 3 ] - ( S1*sx[4] );
+		dx3 = sx[ 2 ] - ( S2*sx[3] );
+		dx4 = sx[ 1 ] - ( S3*sx[2] );
+		dx5 = sx[ 0 ] - ( S4*sx[1] );
+		dy0 = sy[ 5 ];
+		dy1 = sy[ 4 ] - ( S0*sy[5] );
+		dy2 = sy[ 3 ] - ( S1*sy[4] );
+		dy3 = sy[ 2 ] - ( S2*sy[3] );
+		dy4 = sy[ 1 ] - ( S3*sy[2] );
+		dy5 = sy[ 0 ] - ( S4*sy[1] );
+		do0 = so[ 5 ];
+		do1 = so[ 4 ] - ( S0*so[5] );
+		do2 = so[ 3 ] - ( S1*so[4] );
+		do3 = so[ 2 ] - ( S2*so[3] );
+		do4 = so[ 1 ] - ( S3*so[2] );
+		do5 = so[ 0 ] - ( S4*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i5 = 0; i5 < S5; i5++ ) {
+		for ( i4 = 0; i4 < S4; i4++ ) {
+			for ( i3 = 0; i3 < S3; i3++ ) {
+				for ( i2 = 0; i2 < S2; i2++ ) {
+					for ( i1 = 0; i1 < S1; i1++ ) {
+						for ( i0 = 0; i0 < S0; i0++ ) {
+							seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+							ic += dc0;
+							ix += dx0;
+							iy += dy0;
+							io += do0;
+						}
+						ic += dc1;
+						ix += dx1;
+						iy += dy1;
+						io += do1;
+					}
+					ic += dc2;
+					ix += dx2;
+					iy += dy2;
+					io += do2;
+				}
+				ic += dc3;
+				ix += dx3;
+				iy += dy3;
+				io += do3;
+			}
+			ic += dc4;
+			ix += dx4;
+			iy += dy4;
+			io += do4;
+		}
+		ic += dc5;
+		ix += dx5;
+		iy += dy5;
+		io += do5;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js
new file mode 100644
index 000000000000..c1bb1500cc5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js
@@ -0,0 +1,393 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two six-dimensional input ndarrays according to a six-dimensional boolean ndarray and assigns results to elements in a six-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere6d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-statements
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j5 = sh[5]; j5 > 0; ) {
+		if ( j5 < bsize ) {
+			s5 = j5;
+			j5 = 0;
+		} else {
+			s5 = bsize;
+			j5 -= bsize;
+		}
+		oc5 = oc - ( j5*sc[5] );
+		ox5 = ox + ( j5*sx[5] );
+		oy5 = oy + ( j5*sy[5] );
+		oo5 = oo + ( j5*so[5] );
+		for ( j4 = sh[4]; j4 > 0; ) {
+			if ( j4 < bsize ) {
+				s4 = j4;
+				j4 = 0;
+			} else {
+				s4 = bsize;
+				j4 -= bsize;
+			}
+			dc5 = sc[5] - ( s4*sc[4] );
+			dx5 = sx[5] - ( s4*sx[4] );
+			dy5 = sy[5] - ( s4*sy[4] );
+			do5 = so[5] - ( s4*so[4] );
+			oc4 = oc5 + ( j4*sc[4] );
+			ox4 = ox5 + ( j4*sx[4] );
+			oy4 = oy5 + ( j4*sy[4] );
+			oo4 = oo5 + ( j4*so[4] );
+			for ( j3 = sh[3]; j3 > 0; ) {
+				if ( j3 < bsize ) {
+					s3 = j3;
+					j3 = 0;
+				} else {
+					s3 = bsize;
+					j3 -= bsize;
+				}
+				dc4 = sc[4] - ( s3*sc[3] );
+				dx4 = sx[4] - ( s3*sx[3] );
+				dy4 = sy[4] - ( s3*sy[3] );
+				do4 = so[4] - ( s3*so[3] );
+				oc3 = oc4 + ( j3*sc[3] );
+				ox3 = ox4 + ( j3*sx[3] );
+				oy3 = oy4 + ( j3*sy[3] );
+				oo3 = oo4 + ( j3*so[3] );
+				for ( j2 = sh[2]; j2 > 0; ) {
+					if ( j2 < bsize ) {
+						s2 = j2;
+						j2 = 0;
+					} else {
+						s2 = bsize;
+						j2 -= bsize;
+					}
+					dc3 = sc[3] - ( s2*sc[2] );
+					dx3 = sx[3] - ( s2*sx[2] );
+					dy3 = sy[3] - ( s2*sy[2] );
+					do3 = so[3] - ( s2*so[2] );
+					oc2 = oc3 + ( j2*sc[2] );
+					ox2 = ox3 + ( j2*sx[2] );
+					oy2 = oy3 + ( j2*sy[2] );
+					oo2 = oo3 + ( j2*so[2] );
+					for ( j1 = sh[1]; j1 > 0; ) {
+						if ( j1 < bsize ) {
+							s1 = j1;
+							j1 = 0;
+						} else {
+							s1 = bsize;
+							j1 -= bsize;
+						}
+						dc2 = sc[2] - ( s1*sc[1] );
+						dx2 = sx[2] - ( s1*sx[1] );
+						dy2 = sy[2] - ( s1*sy[1] );
+						do2 = so[2] - ( s1*so[1] );
+						oc1 = oc2 + ( j1*sc[1] );
+						ox1 = ox2 + ( j1*sx[1] );
+						oy1 = oy2 + ( j1*sy[1] );
+						oo1 = oo2 + ( j1*so[1] );
+						for ( j0 = sh[0]; j0 > 0; ) {
+							if ( j0 < bsize ) {
+								s0 = j0;
+								j0 = 0;
+							} else {
+								s0 = bsize;
+								j0 -= bsize;
+							}
+							// Compute index offsets for the first input and output ndarray elements in the current block...
+							ic = oc1 + ( j0*sc[0] );
+							ix = ox1 + ( j0*sx[0] );
+							iy = oy1 + ( j0*sy[0] );
+							io = oo1 + ( j0*so[0] );
+
+							// Compute loop offset increments...
+							dc1 = sc[1] - ( s0*sc[0] );
+							dx1 = sx[1] - ( s0*sx[0] );
+							dy1 = sy[1] - ( s0*sy[0] );
+							do1 = so[1] - ( s0*so[0] );
+
+							// Iterate over the ndarray dimensions...
+							for ( i5 = 0; i5 < s5; i5++ ) {
+								for ( i4 = 0; i4 < s4; i4++ ) {
+									for ( i3 = 0; i3 < s3; i3++ ) {
+										for ( i2 = 0; i2 < s2; i2++ ) {
+											for ( i1 = 0; i1 < s1; i1++ ) {
+												for ( i0 = 0; i0 < s0; i0++ ) {
+													obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+													ic += dc0;
+													ix += dx0;
+													iy += dy0;
+													io += do0;
+												}
+												ic += dc1;
+												ix += dx1;
+												iy += dy1;
+												io += do1;
+											}
+											ic += dc2;
+											ix += dx2;
+											iy += dy2;
+											io += do2;
+										}
+										ic += dc3;
+										ix += dx3;
+										iy += dy3;
+										io += do3;
+									}
+									ic += dc4;
+									ix += dx4;
+									iy += dy4;
+									io += do4;
+								}
+								ic += dc5;
+								ix += dx5;
+								iy += dy5;
+								io += do5;
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js
new file mode 100644
index 000000000000..abc75a5936b7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js
@@ -0,0 +1,427 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two six-dimensional input ndarrays according to a six-dimensional boolean ndarray and assigns results to elements in a six-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' )
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere6d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-statements
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over blocks...
+	for ( j5 = sh[5]; j5 > 0; ) {
+		if ( j5 < bsize ) {
+			s5 = j5;
+			j5 = 0;
+		} else {
+			s5 = bsize;
+			j5 -= bsize;
+		}
+		oc5 = oc - ( j5*sc[5] );
+		ox5 = ox + ( j5*sx[5] );
+		oy5 = oy + ( j5*sy[5] );
+		oo5 = oo + ( j5*so[5] );
+		for ( j4 = sh[4]; j4 > 0; ) {
+			if ( j4 < bsize ) {
+				s4 = j4;
+				j4 = 0;
+			} else {
+				s4 = bsize;
+				j4 -= bsize;
+			}
+			dc5 = sc[5] - ( s4*sc[4] );
+			dx5 = sx[5] - ( s4*sx[4] );
+			dy5 = sy[5] - ( s4*sy[4] );
+			do5 = so[5] - ( s4*so[4] );
+			oc4 = oc5 + ( j4*sc[4] );
+			ox4 = ox5 + ( j4*sx[4] );
+			oy4 = oy5 + ( j4*sy[4] );
+			oo4 = oo5 + ( j4*so[4] );
+			for ( j3 = sh[3]; j3 > 0; ) {
+				if ( j3 < bsize ) {
+					s3 = j3;
+					j3 = 0;
+				} else {
+					s3 = bsize;
+					j3 -= bsize;
+				}
+				dc4 = sc[4] - ( s3*sc[3] );
+				dx4 = sx[4] - ( s3*sx[3] );
+				dy4 = sy[4] - ( s3*sy[3] );
+				do4 = so[4] - ( s3*so[3] );
+				oc3 = oc4 + ( j3*sc[3] );
+				ox3 = ox4 + ( j3*sx[3] );
+				oy3 = oy4 + ( j3*sy[3] );
+				oo3 = oo4 + ( j3*so[3] );
+				for ( j2 = sh[2]; j2 > 0; ) {
+					if ( j2 < bsize ) {
+						s2 = j2;
+						j2 = 0;
+					} else {
+						s2 = bsize;
+						j2 -= bsize;
+					}
+					dc3 = sc[3] - ( s2*sc[2] );
+					dx3 = sx[3] - ( s2*sx[2] );
+					dy3 = sy[3] - ( s2*sy[2] );
+					do3 = so[3] - ( s2*so[2] );
+					oc2 = oc3 + ( j2*sc[2] );
+					ox2 = ox3 + ( j2*sx[2] );
+					oy2 = oy3 + ( j2*sy[2] );
+					oo2 = oo3 + ( j2*so[2] );
+					for ( j1 = sh[1]; j1 > 0; ) {
+						if ( j1 < bsize ) {
+							s1 = j1;
+							j1 = 0;
+						} else {
+							s1 = bsize;
+							j1 -= bsize;
+						}
+						dc2 = sc[2] - ( s1*sc[1] );
+						dx2 = sx[2] - ( s1*sx[1] );
+						dy2 = sy[2] - ( s1*sy[1] );
+						do2 = so[2] - ( s1*so[1] );
+						oc1 = oc2 + ( j1*sc[1] );
+						ox1 = ox2 + ( j1*sx[1] );
+						oy1 = oy2 + ( j1*sy[1] );
+						oo1 = oo2 + ( j1*so[1] );
+						for ( j0 = sh[0]; j0 > 0; ) {
+							if ( j0 < bsize ) {
+								s0 = j0;
+								j0 = 0;
+							} else {
+								s0 = bsize;
+								j0 -= bsize;
+							}
+							// Compute index offsets for the first input and output ndarray elements in the current block...
+							ic = oc1 + ( j0*sc[0] );
+							ix = ox1 + ( j0*sx[0] );
+							iy = oy1 + ( j0*sy[0] );
+							io = oo1 + ( j0*so[0] );
+
+							// Compute loop offset increments...
+							dc1 = sc[1] - ( s0*sc[0] );
+							dx1 = sx[1] - ( s0*sx[0] );
+							dy1 = sy[1] - ( s0*sy[0] );
+							do1 = so[1] - ( s0*so[0] );
+
+							// Iterate over the ndarray dimensions...
+							for ( i5 = 0; i5 < s5; i5++ ) {
+								for ( i4 = 0; i4 < s4; i4++ ) {
+									for ( i3 = 0; i3 < s3; i3++ ) {
+										for ( i2 = 0; i2 < s2; i2++ ) {
+											for ( i1 = 0; i1 < s1; i1++ ) {
+												for ( i0 = 0; i0 < s0; i0++ ) {
+													seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+													ic += dc0;
+													ix += dx0;
+													iy += dy0;
+													io += do0;
+												}
+												ic += dc1;
+												ix += dx1;
+												iy += dy1;
+												io += do1;
+											}
+											ic += dc2;
+											ix += dx2;
+											iy += dy2;
+											io += do2;
+										}
+										ic += dc3;
+										ix += dx3;
+										iy += dy3;
+										io += do3;
+									}
+									ic += dc4;
+									ix += dx4;
+									iy += dy4;
+									io += do4;
+								}
+								ic += dc5;
+								ix += dx5;
+								iy += dy5;
+								io += do5;
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere6d;

From c93b3411f954f78769b315037861350da467d887 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 01:34:26 +0200
Subject: [PATCH 16/33] feat: add 7d implementations

---
 .../@stdlib/ndarray/base/where/lib/7d.js      | 323 ++++++++++++
 .../ndarray/base/where/lib/7d_accessors.js    | 358 +++++++++++++
 .../ndarray/base/where/lib/7d_blocked.js      | 443 ++++++++++++++++
 .../base/where/lib/7d_blocked_accessors.js    | 477 ++++++++++++++++++
 4 files changed, 1601 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js
new file mode 100644
index 000000000000..c14ee13125e2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js
@@ -0,0 +1,323 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two seven-dimensional input ndarrays according to a seven-dimensional boolean ndarray and assigns results to elements in a seven-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where7d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where7d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 6 ];
+		S1 = sh[ 5 ];
+		S2 = sh[ 4 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 2 ];
+		S5 = sh[ 1 ];
+		S6 = sh[ 0 ];
+		dc0 = sc[ 6 ];                // offset increment for innermost loop
+		dc1 = sc[ 5 ] - ( S0*sc[6] );
+		dc2 = sc[ 4 ] - ( S1*sc[5] );
+		dc3 = sc[ 3 ] - ( S2*sc[4] );
+		dc4 = sc[ 2 ] - ( S3*sc[3] );
+		dc5 = sc[ 1 ] - ( S4*sc[2] );
+		dc6 = sc[ 0 ] - ( S5*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 6 ];
+		dx1 = sx[ 5 ] - ( S0*sx[6] );
+		dx2 = sx[ 4 ] - ( S1*sx[5] );
+		dx3 = sx[ 3 ] - ( S2*sx[4] );
+		dx4 = sx[ 2 ] - ( S3*sx[3] );
+		dx5 = sx[ 1 ] - ( S4*sx[2] );
+		dx6 = sx[ 0 ] - ( S5*sx[1] );
+		dy0 = sy[ 6 ];
+		dy1 = sy[ 5 ] - ( S0*sy[6] );
+		dy2 = sy[ 4 ] - ( S1*sy[5] );
+		dy3 = sy[ 3 ] - ( S2*sy[4] );
+		dy4 = sy[ 2 ] - ( S3*sy[3] );
+		dy5 = sy[ 1 ] - ( S4*sy[2] );
+		dy6 = sy[ 0 ] - ( S5*sy[1] );
+		do0 = so[ 6 ];
+		do1 = so[ 5 ] - ( S0*so[6] );
+		do2 = so[ 4 ] - ( S1*so[5] );
+		do3 = so[ 3 ] - ( S2*so[4] );
+		do4 = so[ 2 ] - ( S3*so[3] );
+		do5 = so[ 1 ] - ( S4*so[2] );
+		do6 = so[ 0 ] - ( S5*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i6 = 0; i6 < S6; i6++ ) {
+		for ( i5 = 0; i5 < S5; i5++ ) {
+			for ( i4 = 0; i4 < S4; i4++ ) {
+				for ( i3 = 0; i3 < S3; i3++ ) {
+					for ( i2 = 0; i2 < S2; i2++ ) {
+						for ( i1 = 0; i1 < S1; i1++ ) {
+							for ( i0 = 0; i0 < S0; i0++ ) {
+								obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+								ic += dc0;
+								ix += dx0;
+								iy += dy0;
+								io += do0;
+							}
+							ic += dc1;
+							ix += dx1;
+							iy += dy1;
+							io += do1;
+						}
+						ic += dc2;
+						ix += dx2;
+						iy += dy2;
+						io += do2;
+					}
+					ic += dc3;
+					ix += dx3;
+					iy += dy3;
+					io += do3;
+				}
+				ic += dc4;
+				ix += dx4;
+				iy += dy4;
+				io += do4;
+			}
+			ic += dc5;
+			ix += dx5;
+			iy += dy5;
+			io += do5;
+		}
+		ic += dc6;
+		ix += dx6;
+		iy += dy6;
+		io += do6;
+	}
+}
+
+module.exports = where7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js
new file mode 100644
index 000000000000..6cea86ee3267
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js
@@ -0,0 +1,358 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two seven-dimensional input ndarrays according to a seven-dimensional boolean ndarray and assigns results to elements in a seven-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where7d( condition, x, y, out, true );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where7d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 6 ];
+		S1 = sh[ 5 ];
+		S2 = sh[ 4 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 2 ];
+		S5 = sh[ 1 ];
+		S6 = sh[ 0 ];
+		dc0 = sc[ 6 ];                // offset increment for innermost loop
+		dc1 = sc[ 5 ] - ( S0*sc[6] );
+		dc2 = sc[ 4 ] - ( S1*sc[5] );
+		dc3 = sc[ 3 ] - ( S2*sc[4] );
+		dc4 = sc[ 2 ] - ( S3*sc[3] );
+		dc5 = sc[ 1 ] - ( S4*sc[2] );
+		dc6 = sc[ 0 ] - ( S5*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 6 ];
+		dx1 = sx[ 5 ] - ( S0*sx[6] );
+		dx2 = sx[ 4 ] - ( S1*sx[5] );
+		dx3 = sx[ 3 ] - ( S2*sx[4] );
+		dx4 = sx[ 2 ] - ( S3*sx[3] );
+		dx5 = sx[ 1 ] - ( S4*sx[2] );
+		dx6 = sx[ 0 ] - ( S5*sx[1] );
+		dy0 = sy[ 6 ];
+		dy1 = sy[ 5 ] - ( S0*sy[6] );
+		dy2 = sy[ 4 ] - ( S1*sy[5] );
+		dy3 = sy[ 3 ] - ( S2*sy[4] );
+		dy4 = sy[ 2 ] - ( S3*sy[3] );
+		dy5 = sy[ 1 ] - ( S4*sy[2] );
+		dy6 = sy[ 0 ] - ( S5*sy[1] );
+		do0 = so[ 6 ];
+		do1 = so[ 5 ] - ( S0*so[6] );
+		do2 = so[ 4 ] - ( S1*so[5] );
+		do3 = so[ 3 ] - ( S2*so[4] );
+		do4 = so[ 2 ] - ( S3*so[3] );
+		do5 = so[ 1 ] - ( S4*so[2] );
+		do6 = so[ 0 ] - ( S5*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i6 = 0; i6 < S6; i6++ ) {
+		for ( i5 = 0; i5 < S5; i5++ ) {
+			for ( i4 = 0; i4 < S4; i4++ ) {
+				for ( i3 = 0; i3 < S3; i3++ ) {
+					for ( i2 = 0; i2 < S2; i2++ ) {
+						for ( i1 = 0; i1 < S1; i1++ ) {
+							for ( i0 = 0; i0 < S0; i0++ ) {
+								seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+								ic += dc0;
+								ix += dx0;
+								iy += dy0;
+								io += do0;
+							}
+							ic += dc1;
+							ix += dx1;
+							iy += dy1;
+							io += do1;
+						}
+						ic += dc2;
+						ix += dx2;
+						iy += dy2;
+						io += do2;
+					}
+					ic += dc3;
+					ix += dx3;
+					iy += dy3;
+					io += do3;
+				}
+				ic += dc4;
+				ix += dx4;
+				iy += dy4;
+				io += do4;
+			}
+			ic += dc5;
+			ix += dx5;
+			iy += dy5;
+			io += do5;
+		}
+		ic += dc6;
+		ix += dx6;
+		iy += dy6;
+		io += do6;
+	}
+}
+
+module.exports = where7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js
new file mode 100644
index 000000000000..79a397126e83
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js
@@ -0,0 +1,443 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two seven-dimensional input ndarrays according to a seven-dimensional boolean ndarray and assigns results to elements in a seven-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere7d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-statements
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j6 = sh[6]; j6 > 0; ) {
+		if ( j6 < bsize ) {
+			s6 = j6;
+			j6 = 0;
+		} else {
+			s6 = bsize;
+			j6 -= bsize;
+		}
+		oc6 = oc - ( j6*sc[6] );
+		ox6 = ox + ( j6*sx[6] );
+		oy6 = oy + ( j6*sy[6] );
+		oo6 = oo + ( j6*so[6] );
+
+		for ( j5 = sh[5]; j5 > 0; ) {
+			if ( j5 < bsize ) {
+				s5 = j5;
+				j5 = 0;
+			} else {
+				s5 = bsize;
+				j5 -= bsize;
+			}
+
+			dc6 = sc[6] - ( s5*sc[5] );
+			dx6 = sx[6] - ( s5*sx[5] );
+			dy6 = sy[6] - ( s5*sy[5] );
+			do6 = so[6] - ( s5*so[5] );
+
+			oc5 = oc6 + ( j5*sc[5] );
+			ox5 = ox6 + ( j5*sx[5] );
+			oy5 = oy6 + ( j5*sy[5] );
+			oo5 = oo6 + ( j5*so[5] );
+
+			for ( j4 = sh[4]; j4 > 0; ) {
+				if ( j4 < bsize ) {
+					s4 = j4;
+					j4 = 0;
+				} else {
+					s4 = bsize;
+					j4 -= bsize;
+				}
+
+				dc5 = sc[5] - ( s4*sc[4] );
+				dx5 = sx[5] - ( s4*sx[4] );
+				dy5 = sy[5] - ( s4*sy[4] );
+				do5 = so[5] - ( s4*so[4] );
+
+				oc4 = oc5 + ( j4*sc[4] );
+				ox4 = ox5 + ( j4*sx[4] );
+				oy4 = oy5 + ( j4*sy[4] );
+				oo4 = oo5 + ( j4*so[4] );
+
+				for ( j3 = sh[3]; j3 > 0; ) {
+					if ( j3 < bsize ) {
+						s3 = j3;
+						j3 = 0;
+					} else {
+						s3 = bsize;
+						j3 -= bsize;
+					}
+
+					dc4 = sc[4] - ( s3*sc[3] );
+					dx4 = sx[4] - ( s3*sx[3] );
+					dy4 = sy[4] - ( s3*sy[3] );
+					do4 = so[4] - ( s3*so[3] );
+
+					oc3 = oc4 + ( j3*sc[3] );
+					ox3 = ox4 + ( j3*sx[3] );
+					oy3 = oy4 + ( j3*sy[3] );
+					oo3 = oo4 + ( j3*so[3] );
+
+					for ( j2 = sh[2]; j2 > 0; ) {
+						if ( j2 < bsize ) {
+							s2 = j2;
+							j2 = 0;
+						} else {
+							s2 = bsize;
+							j2 -= bsize;
+						}
+
+						dc3 = sc[3] - ( s2*sc[2] );
+						dx3 = sx[3] - ( s2*sx[2] );
+						dy3 = sy[3] - ( s2*sy[2] );
+						do3 = so[3] - ( s2*so[2] );
+
+						oc2 = oc3 + ( j2*sc[2] );
+						ox2 = ox3 + ( j2*sx[2] );
+						oy2 = oy3 + ( j2*sy[2] );
+						oo2 = oo3 + ( j2*so[2] );
+
+						for ( j1 = sh[1]; j1 > 0; ) {
+							if ( j1 < bsize ) {
+								s1 = j1;
+								j1 = 0;
+							} else {
+								s1 = bsize;
+								j1 -= bsize;
+							}
+
+							dc2 = sc[2] - ( s1*sc[1] );
+							dx2 = sx[2] - ( s1*sx[1] );
+							dy2 = sy[2] - ( s1*sy[1] );
+							do2 = so[2] - ( s1*so[1] );
+
+							oc1 = oc2 + ( j1*sc[1] );
+							ox1 = ox2 + ( j1*sx[1] );
+							oy1 = oy2 + ( j1*sy[1] );
+							oo1 = oo2 + ( j1*so[1] );
+
+							for ( j0 = sh[0]; j0 > 0; ) {
+								if ( j0 < bsize ) {
+									s0 = j0;
+									j0 = 0;
+								} else {
+									s0 = bsize;
+									j0 -= bsize;
+								}
+								// Compute index offsets for the first input and output ndarray elements in the current block...
+								ic = oc1 + ( j0*sc[0] );
+								ix = ox1 + ( j0*sx[0] );
+								iy = oy1 + ( j0*sy[0] );
+								io = oo1 + ( j0*so[0] );
+
+								// Compute loop offset increments...
+								dc1 = sc[1] - ( s0*sc[0] );
+								dx1 = sx[1] - ( s0*sx[0] );
+								dy1 = sy[1] - ( s0*sy[0] );
+								do1 = so[1] - ( s0*so[0] );
+
+								// Iterate over the ndarray dimensions...
+								for ( i6 = 0; i6 < s6; i6++ ) {
+									for ( i5 = 0; i5 < s5; i5++ ) {
+										for ( i4 = 0; i4 < s4; i4++ ) {
+											for ( i3 = 0; i3 < s3; i3++ ) {
+												for ( i2 = 0; i2 < s2; i2++ ) {
+													for ( i1 = 0; i1 < s1; i1++ ) {
+														for ( i0 = 0; i0 < s0; i0++ ) {
+															obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+															ic += dc0;
+															ix += dx0;
+															iy += dy0;
+															io += do0;
+														}
+														ic += dc1;
+														ix += dx1;
+														iy += dy1;
+														io += do1;
+													}
+													ic += dc2;
+													ix += dx2;
+													iy += dy2;
+													io += do2;
+												}
+												ic += dc3;
+												ix += dx3;
+												iy += dy3;
+												io += do3;
+											}
+											ic += dc4;
+											ix += dx4;
+											iy += dy4;
+											io += do4;
+										}
+										ic += dc5;
+										ix += dx5;
+										iy += dy5;
+										io += do5;
+									}
+									ic += dc6;
+									ix += dx6;
+									iy += dy6;
+									io += do6;
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js
new file mode 100644
index 000000000000..a943f90b9f18
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js
@@ -0,0 +1,477 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two seven-dimensional input ndarrays according to a seven-dimensional boolean ndarray and assigns results to elements in a seven-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' )
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere7d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-statements
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var o;
+
+	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[0];
+	getx = x.accessors[0];
+	gety = y.accessors[0];
+	seto = out.accessors[1];
+
+	// Iterate over blocks...
+	for ( j6 = sh[6]; j6 > 0; ) {
+		if ( j6 < bsize ) {
+			s6 = j6;
+			j6 = 0;
+		} else {
+			s6 = bsize;
+			j6 -= bsize;
+		}
+		oc6 = oc - ( j6*sc[6] );
+		ox6 = ox + ( j6*sx[6] );
+		oy6 = oy + ( j6*sy[6] );
+		oo6 = oo + ( j6*so[6] );
+
+		for ( j5 = sh[5]; j5 > 0; ) {
+			if ( j5 < bsize ) {
+				s5 = j5;
+				j5 = 0;
+			} else {
+				s5 = bsize;
+				j5 -= bsize;
+			}
+
+			dc6 = sc[6] - ( s5*sc[5] );
+			dx6 = sx[6] - ( s5*sx[5] );
+			dy6 = sy[6] - ( s5*sy[5] );
+			do6 = so[6] - ( s5*so[5] );
+
+			oc5 = oc6 + ( j5*sc[5] );
+			ox5 = ox6 + ( j5*sx[5] );
+			oy5 = oy6 + ( j5*sy[5] );
+			oo5 = oo6 + ( j5*so[5] );
+
+			for ( j4 = sh[4]; j4 > 0; ) {
+				if ( j4 < bsize ) {
+					s4 = j4;
+					j4 = 0;
+				} else {
+					s4 = bsize;
+					j4 -= bsize;
+				}
+
+				dc5 = sc[5] - ( s4*sc[4] );
+				dx5 = sx[5] - ( s4*sx[4] );
+				dy5 = sy[5] - ( s4*sy[4] );
+				do5 = so[5] - ( s4*so[4] );
+
+				oc4 = oc5 + ( j4*sc[4] );
+				ox4 = ox5 + ( j4*sx[4] );
+				oy4 = oy5 + ( j4*sy[4] );
+				oo4 = oo5 + ( j4*so[4] );
+
+				for ( j3 = sh[3]; j3 > 0; ) {
+					if ( j3 < bsize ) {
+						s3 = j3;
+						j3 = 0;
+					} else {
+						s3 = bsize;
+						j3 -= bsize;
+					}
+
+					dc4 = sc[4] - ( s3*sc[3] );
+					dx4 = sx[4] - ( s3*sx[3] );
+					dy4 = sy[4] - ( s3*sy[3] );
+					do4 = so[4] - ( s3*so[3] );
+
+					oc3 = oc4 + ( j3*sc[3] );
+					ox3 = ox4 + ( j3*sx[3] );
+					oy3 = oy4 + ( j3*sy[3] );
+					oo3 = oo4 + ( j3*so[3] );
+
+					for ( j2 = sh[2]; j2 > 0; ) {
+						if ( j2 < bsize ) {
+							s2 = j2;
+							j2 = 0;
+						} else {
+							s2 = bsize;
+							j2 -= bsize;
+						}
+
+						dc3 = sc[3] - ( s2*sc[2] );
+						dx3 = sx[3] - ( s2*sx[2] );
+						dy3 = sy[3] - ( s2*sy[2] );
+						do3 = so[3] - ( s2*so[2] );
+
+						oc2 = oc3 + ( j2*sc[2] );
+						ox2 = ox3 + ( j2*sx[2] );
+						oy2 = oy3 + ( j2*sy[2] );
+						oo2 = oo3 + ( j2*so[2] );
+
+						for ( j1 = sh[1]; j1 > 0; ) {
+							if ( j1 < bsize ) {
+								s1 = j1;
+								j1 = 0;
+							} else {
+								s1 = bsize;
+								j1 -= bsize;
+							}
+
+							dc2 = sc[2] - ( s1*sc[1] );
+							dx2 = sx[2] - ( s1*sx[1] );
+							dy2 = sy[2] - ( s1*sy[1] );
+							do2 = so[2] - ( s1*so[1] );
+
+							oc1 = oc2 + ( j1*sc[1] );
+							ox1 = ox2 + ( j1*sx[1] );
+							oy1 = oy2 + ( j1*sy[1] );
+							oo1 = oo2 + ( j1*so[1] );
+
+							for ( j0 = sh[0]; j0 > 0; ) {
+								if ( j0 < bsize ) {
+									s0 = j0;
+									j0 = 0;
+								} else {
+									s0 = bsize;
+									j0 -= bsize;
+								}
+								// Compute index offsets for the first input and output ndarray elements in the current block...
+								ic = oc1 + ( j0*sc[0] );
+								ix = ox1 + ( j0*sx[0] );
+								iy = oy1 + ( j0*sy[0] );
+								io = oo1 + ( j0*so[0] );
+
+								// Compute loop offset increments...
+								dc1 = sc[1] - ( s0*sc[0] );
+								dx1 = sx[1] - ( s0*sx[0] );
+								dy1 = sy[1] - ( s0*sy[0] );
+								do1 = so[1] - ( s0*so[0] );
+
+								// Iterate over the ndarray dimensions...
+								for ( i6 = 0; i6 < s6; i6++ ) {
+									for ( i5 = 0; i5 < s5; i5++ ) {
+										for ( i4 = 0; i4 < s4; i4++ ) {
+											for ( i3 = 0; i3 < s3; i3++ ) {
+												for ( i2 = 0; i2 < s2; i2++ ) {
+													for ( i1 = 0; i1 < s1; i1++ ) {
+														for ( i0 = 0; i0 < s0; i0++ ) {
+															seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+															ic += dc0;
+															ix += dx0;
+															iy += dy0;
+															io += do0;
+														}
+														ic += dc1;
+														ix += dx1;
+														iy += dy1;
+														io += do1;
+													}
+													ic += dc2;
+													ix += dx2;
+													iy += dy2;
+													io += do2;
+												}
+												ic += dc3;
+												ix += dx3;
+												iy += dy3;
+												io += do3;
+											}
+											ic += dc4;
+											ix += dx4;
+											iy += dy4;
+											io += do4;
+										}
+										ic += dc5;
+										ix += dx5;
+										iy += dy5;
+										io += do5;
+									}
+									ic += dc6;
+									ix += dx6;
+									iy += dy6;
+									io += do6;
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere7d;

From 4b2706ecebd5502ac5278af45aa13bc8eeb709c9 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 02:11:29 +0200
Subject: [PATCH 17/33] feat: add 8d implementations

---
 .../@stdlib/ndarray/base/where/lib/8d.js      | 348 ++++++++++++
 .../ndarray/base/where/lib/8d_accessors.js    | 383 ++++++++++++++
 .../ndarray/base/where/lib/8d_blocked.js      | 461 ++++++++++++++++
 .../base/where/lib/8d_blocked_accessors.js    | 495 ++++++++++++++++++
 4 files changed, 1687 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js
new file mode 100644
index 000000000000..1e81cbd95acf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js
@@ -0,0 +1,348 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two eight-dimensional input ndarrays according to a eight-dimensional boolean ndarray and assigns results to elements in a eight-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where8d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where8d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 7 ];
+		S1 = sh[ 6 ];
+		S2 = sh[ 5 ];
+		S3 = sh[ 4 ];
+		S4 = sh[ 3 ];
+		S5 = sh[ 2 ];
+		S6 = sh[ 1 ];
+		S7 = sh[ 0 ];
+		dc0 = sc[ 7 ];                // offset increment for innermost loop
+		dc1 = sc[ 6 ] - ( S0*sc[7] );
+		dc2 = sc[ 5 ] - ( S1*sc[6] );
+		dc3 = sc[ 4 ] - ( S2*sc[5] );
+		dc4 = sc[ 3 ] - ( S3*sc[4] );
+		dc5 = sc[ 2 ] - ( S4*sc[3] );
+		dc6 = sc[ 1 ] - ( S5*sc[2] );
+		dc7 = sc[ 0 ] - ( S6*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 7 ];
+		dx1 = sx[ 6 ] - ( S0*sx[7] );
+		dx2 = sx[ 5 ] - ( S1*sx[6] );
+		dx3 = sx[ 4 ] - ( S2*sx[5] );
+		dx4 = sx[ 3 ] - ( S3*sx[4] );
+		dx5 = sx[ 2 ] - ( S4*sx[3] );
+		dx6 = sx[ 1 ] - ( S5*sx[2] );
+		dx7 = sx[ 0 ] - ( S6*sx[1] );
+		dy0 = sy[ 7 ];
+		dy1 = sy[ 6 ] - ( S0*sy[7] );
+		dy2 = sy[ 5 ] - ( S1*sy[6] );
+		dy3 = sy[ 4 ] - ( S2*sy[5] );
+		dy4 = sy[ 3 ] - ( S3*sy[4] );
+		dy5 = sy[ 2 ] - ( S4*sy[3] );
+		dy6 = sy[ 1 ] - ( S5*sy[2] );
+		dy7 = sy[ 0 ] - ( S6*sy[1] );
+		do0 = so[ 7 ];
+		do1 = so[ 6 ] - ( S0*so[7] );
+		do2 = so[ 5 ] - ( S1*so[6] );
+		do3 = so[ 4 ] - ( S2*so[5] );
+		do4 = so[ 3 ] - ( S3*so[4] );
+		do5 = so[ 2 ] - ( S4*so[3] );
+		do6 = so[ 1 ] - ( S5*so[2] );
+		do7 = so[ 0 ] - ( S6*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		S7 = sh[ 7 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] );
+		dc7 = sc[ 7 ] - ( S6*sc[6] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dx7 = sx[ 7 ] - ( S6*sx[6] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		dy7 = sy[ 7 ] - ( S6*sy[6] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+		do7 = so[ 7 ] - ( S6*so[6] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i7 = 0; i7 < S7; i7++ ) {
+		for ( i6 = 0; i6 < S6; i6++ ) {
+			for ( i5 = 0; i5 < S5; i5++ ) {
+				for ( i4 = 0; i4 < S4; i4++ ) {
+					for ( i3 = 0; i3 < S3; i3++ ) {
+						for ( i2 = 0; i2 < S2; i2++ ) {
+							for ( i1 = 0; i1 < S1; i1++ ) {
+								for ( i0 = 0; i0 < S0; i0++ ) {
+									obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+									ic += dc0;
+									ix += dx0;
+									iy += dy0;
+									io += do0;
+								}
+								ic += dc1;
+								ix += dx1;
+								iy += dy1;
+								io += do1;
+							}
+							ic += dc2;
+							ix += dx2;
+							iy += dy2;
+							io += do2;
+						}
+						ic += dc3;
+						ix += dx3;
+						iy += dy3;
+						io += do3;
+					}
+					ic += dc4;
+					ix += dx4;
+					iy += dy4;
+					io += do4;
+				}
+				ic += dc5;
+				ix += dx5;
+				iy += dy5;
+				io += do5;
+			}
+			ic += dc6;
+			ix += dx6;
+			iy += dy6;
+			io += do6;
+		}
+		ic += dc7;
+		ix += dx7;
+		iy += dy7;
+		io += do7;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js
new file mode 100644
index 000000000000..3242d26e389e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js
@@ -0,0 +1,383 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two eight-dimensional input ndarrays according to a eight-dimensional boolean ndarray and assigns results to elements in a eight-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where8d( condition, x, y, out, true );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where8d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 7 ];
+		S1 = sh[ 6 ];
+		S2 = sh[ 5 ];
+		S3 = sh[ 4 ];
+		S4 = sh[ 3 ];
+		S5 = sh[ 2 ];
+		S6 = sh[ 1 ];
+		S7 = sh[ 0 ];
+		dc0 = sc[ 7 ];                // offset increment for innermost loop
+		dc1 = sc[ 6 ] - ( S0*sc[7] );
+		dc2 = sc[ 5 ] - ( S1*sc[6] );
+		dc3 = sc[ 4 ] - ( S2*sc[5] );
+		dc4 = sc[ 3 ] - ( S3*sc[4] );
+		dc5 = sc[ 2 ] - ( S4*sc[3] );
+		dc6 = sc[ 1 ] - ( S5*sc[2] );
+		dc7 = sc[ 0 ] - ( S6*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 7 ];
+		dx1 = sx[ 6 ] - ( S0*sx[7] );
+		dx2 = sx[ 5 ] - ( S1*sx[6] );
+		dx3 = sx[ 4 ] - ( S2*sx[5] );
+		dx4 = sx[ 3 ] - ( S3*sx[4] );
+		dx5 = sx[ 2 ] - ( S4*sx[3] );
+		dx6 = sx[ 1 ] - ( S5*sx[2] );
+		dx7 = sx[ 0 ] - ( S6*sx[1] );
+		dy0 = sy[ 7 ];
+		dy1 = sy[ 6 ] - ( S0*sy[7] );
+		dy2 = sy[ 5 ] - ( S1*sy[6] );
+		dy3 = sy[ 4 ] - ( S2*sy[5] );
+		dy4 = sy[ 3 ] - ( S3*sy[4] );
+		dy5 = sy[ 2 ] - ( S4*sy[3] );
+		dy6 = sy[ 1 ] - ( S5*sy[2] );
+		dy7 = sy[ 0 ] - ( S6*sy[1] );
+		do0 = so[ 7 ];
+		do1 = so[ 6 ] - ( S0*so[7] );
+		do2 = so[ 5 ] - ( S1*so[6] );
+		do3 = so[ 4 ] - ( S2*so[5] );
+		do4 = so[ 3 ] - ( S3*so[4] );
+		do5 = so[ 2 ] - ( S4*so[3] );
+		do6 = so[ 1 ] - ( S5*so[2] );
+		do7 = so[ 0 ] - ( S6*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		S7 = sh[ 7 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] );
+		dc7 = sc[ 7 ] - ( S6*sc[6] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dx7 = sx[ 7 ] - ( S6*sx[6] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		dy7 = sy[ 7 ] - ( S6*sy[6] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+		do7 = so[ 7 ] - ( S6*so[6] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i7 = 0; i7 < S7; i7++ ) {
+		for ( i6 = 0; i6 < S6; i6++ ) {
+			for ( i5 = 0; i5 < S5; i5++ ) {
+				for ( i4 = 0; i4 < S4; i4++ ) {
+					for ( i3 = 0; i3 < S3; i3++ ) {
+						for ( i2 = 0; i2 < S2; i2++ ) {
+							for ( i1 = 0; i1 < S1; i1++ ) {
+								for ( i0 = 0; i0 < S0; i0++ ) {
+									seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+									ic += dc0;
+									ix += dx0;
+									iy += dy0;
+									io += do0;
+								}
+								ic += dc1;
+								ix += dx1;
+								iy += dy1;
+								io += do1;
+							}
+							ic += dc2;
+							ix += dx2;
+							iy += dy2;
+							io += do2;
+						}
+						ic += dc3;
+						ix += dx3;
+						iy += dy3;
+						io += do3;
+					}
+					ic += dc4;
+					ix += dx4;
+					iy += dy4;
+					io += do4;
+				}
+				ic += dc5;
+				ix += dx5;
+				iy += dy5;
+				io += do5;
+			}
+			ic += dc6;
+			ix += dx6;
+			iy += dy6;
+			io += do6;
+		}
+		ic += dc7;
+		ix += dx7;
+		iy += dy7;
+		io += do7;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js
new file mode 100644
index 000000000000..441d664f7906
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js
@@ -0,0 +1,461 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two eight-dimensional input ndarrays according to a eight-dimensional boolean ndarray and assigns results to elements in a eight-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere8d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function blockedwhere8d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var oc7;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var ox7;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var oo7;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	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( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j7 = sh[7]; j7 > 0; ) {
+		if ( j7 < bsize ) {
+			s7 = j7;
+			j7 = 0;
+		} else {
+			s7 = bsize;
+			j7 -= bsize;
+		}
+		oc7 = oc + ( j7*sc[7] );
+		ox7 = ox + ( j7*sx[7] );
+		oy7 = oy + ( j7*sy[7] );
+		oo7 = oo + ( j7*so[7] );
+		for ( j6 = sh[6]; j6 > 0; ) {
+			if ( j6 < bsize ) {
+				s6 = j6;
+				j6 = 0;
+			} else {
+				s6 = bsize;
+				j6 -= bsize;
+			}
+			dc7 = sc[7] - ( s6*sc[6] );
+			dx7 = sx[7] - ( s6*sx[6] );
+			dy7 = sy[7] - ( s6*sy[6] );
+			do7 = so[7] - ( s6*so[6] );
+			oc6 = oc7 + ( j6*sc[6] );
+			ox6 = ox7 + ( j6*sx[6] );
+			oy6 = oy7 + ( j6*sy[6] );
+			oo6 = oo7 + ( j6*so[6] );
+			for ( j5 = sh[5]; j5 > 0; ) {
+				if ( j5 < bsize ) {
+					s5 = j5;
+					j5 = 0;
+				} else {
+					s5 = bsize;
+					j5 -= bsize;
+				}
+				dc6 = sc[6] - ( s5*sc[5] );
+				dx6 = sx[6] - ( s5*sx[5] );
+				dy6 = sy[6] - ( s5*sy[5] );
+				do6 = so[6] - ( s5*so[5] );
+				oc5 = oc6 + ( j5*sc[5] );
+				ox5 = ox6 + ( j5*sx[5] );
+				oy5 = oy6 + ( j5*sy[5] );
+				oo5 = oo6 + ( j5*so[5] );
+				for ( j4 = sh[4]; j4 > 0; ) {
+					if ( j4 < bsize ) {
+						s4 = j4;
+						j4 = 0;
+					} else {
+						s4 = bsize;
+						j4 -= bsize;
+					}
+					dc5 = sc[5] - ( s4*sc[4] );
+					dx5 = sx[5] - ( s4*sx[4] );
+					dy5 = sy[5] - ( s4*sy[4] );
+					do5 = so[5] - ( s4*so[4] );
+					oc4 = oc5 + ( j4*sc[4] );
+					ox4 = ox5 + ( j4*sx[4] );
+					oy4 = oy5 + ( j4*sy[4] );
+					oo4 = oo5 + ( j4*so[4] );
+					for ( j3 = sh[3]; j3 > 0; ) {
+						if ( j3 < bsize ) {
+							s3 = j3;
+							j3 = 0;
+						} else {
+							s3 = bsize;
+							j3 -= bsize;
+						}
+						dc4 = sc[4] - ( s3*sc[3] );
+						dx4 = sx[4] - ( s3*sx[3] );
+						dy4 = sy[4] - ( s3*sy[3] );
+						do4 = so[4] - ( s3*so[3] );
+						oc3 = oc4 + ( j3*sc[3] );
+						ox3 = ox4 + ( j3*sx[3] );
+						oy3 = oy4 + ( j3*sy[3] );
+						oo3 = oo4 + ( j3*so[3] );
+						for ( j2 = sh[2]; j2 > 0; ) {
+							if ( j2 < bsize ) {
+								s2 = j2;
+								j2 = 0;
+							} else {
+								s2 = bsize;
+								j2 -= bsize;
+							}
+							dc3 = sc[3] - ( s2*sc[2] );
+							dx3 = sx[3] - ( s2*sx[2] );
+							dy3 = sy[3] - ( s2*sy[2] );
+							do3 = so[3] - ( s2*so[2] );
+							oc2 = oc3 + ( j2*sc[2] );
+							ox2 = ox3 + ( j2*sx[2] );
+							oy2 = oy3 + ( j2*sy[2] );
+							oo2 = oo3 + ( j2*so[2] );
+							for ( j1 = sh[1]; j1 > 0; ) {
+								if ( j1 < bsize ) {
+									s1 = j1;
+									j1 = 0;
+								} else {
+									s1 = bsize;
+									j1 -= bsize;
+								}
+								dc2 = sc[2] - ( s1*sc[1] );
+								dx2 = sx[2] - ( s1*sx[1] );
+								dy2 = sy[2] - ( s1*sy[1] );
+								do2 = so[2] - ( s1*so[1] );
+								oc1 = oc2 + ( j1*sc[1] );
+								ox1 = ox2 + ( j1*sx[1] );
+								oy1 = oy2 + ( j1*sy[1] );
+								oo1 = oo2 + ( j1*so[1] );
+								for ( j0 = sh[0]; j0 > 0; ) {
+									if ( j0 < bsize ) {
+										s0 = j0;
+										j0 = 0;
+									} else {
+										s0 = bsize;
+										j0 -= bsize;
+									}
+									// Compute index offsets for the first input and output ndarray elements in the current block...
+									ic = oc1 + ( j0*sc[0] );
+									ix = ox1 + ( j0*sx[0] );
+									iy = oy1 + ( j0*sy[0] );
+									io = oo1 + ( j0*so[0] );
+
+									// Compute loop offset increments...
+									dc1 = sc[1] - ( s0*sc[0] );
+									dx1 = sx[1] - ( s0*sx[0] );
+									dy1 = sy[1] - ( s0*sy[0] );
+									do1 = so[1] - ( s0*so[0] );
+
+									// Iterate over the ndarray dimensions...
+									for ( i7 = 0; i7 < s7; i7++ ) {
+										for ( i6 = 0; i6 < s6; i6++ ) {
+											for ( i5 = 0; i5 < s5; i5++ ) {
+												for ( i4 = 0; i4 < s4; i4++ ) {
+													for ( i3 = 0; i3 < s3; i3++ ) {
+														for ( i2 = 0; i2 < s2; i2++ ) {
+															for ( i1 = 0; i1 < s1; i1++ ) {
+																for ( i0 = 0; i0 < s0; i0++ ) {
+																	obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+																	ic += dc0;
+																	ix += dx0;
+																	iy += dy0;
+																	io += do0;
+																}
+																ic += dc1;
+																ix += dx1;
+																iy += dy1;
+																io += do1;
+															}
+															ic += dc2;
+															ix += dx2;
+															iy += dy2;
+															io += do2;
+														}
+														ic += dc3;
+														ix += dx3;
+														iy += dy3;
+														io += do3;
+													}
+													ic += dc4;
+													ix += dx4;
+													iy += dy4;
+													io += do4;
+												}
+												ic += dc5;
+												ix += dx5;
+												iy += dy5;
+												io += do5;
+											}
+											ic += dc6;
+											ix += dx6;
+											iy += dy6;
+											io += do6;
+										}
+										ic += dc7;
+										ix += dx7;
+										iy += dy7;
+										io += do7;
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js
new file mode 100644
index 000000000000..4894840952c2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js
@@ -0,0 +1,495 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two eight-dimensional input ndarrays according to a eight-dimensional boolean ndarray and assigns results to elements in a eight-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' )
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere8d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere8d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var oc7;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var ox7;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var oo7;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	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( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[0];
+	getx = x.accessors[0];
+	gety = y.accessors[0];
+	seto = out.accessors[1];
+
+	// Iterate over blocks...
+	for ( j7 = sh[7]; j7 > 0; ) {
+		if ( j7 < bsize ) {
+			s7 = j7;
+			j7 = 0;
+		} else {
+			s7 = bsize;
+			j7 -= bsize;
+		}
+		oc7 = oc + ( j7*sc[7] );
+		ox7 = ox + ( j7*sx[7] );
+		oy7 = oy + ( j7*sy[7] );
+		oo7 = oo + ( j7*so[7] );
+		for ( j6 = sh[6]; j6 > 0; ) {
+			if ( j6 < bsize ) {
+				s6 = j6;
+				j6 = 0;
+			} else {
+				s6 = bsize;
+				j6 -= bsize;
+			}
+			dc7 = sc[7] - ( s6*sc[6] );
+			dx7 = sx[7] - ( s6*sx[6] );
+			dy7 = sy[7] - ( s6*sy[6] );
+			do7 = so[7] - ( s6*so[6] );
+			oc6 = oc7 + ( j6*sc[6] );
+			ox6 = ox7 + ( j6*sx[6] );
+			oy6 = oy7 + ( j6*sy[6] );
+			oo6 = oo7 + ( j6*so[6] );
+			for ( j5 = sh[5]; j5 > 0; ) {
+				if ( j5 < bsize ) {
+					s5 = j5;
+					j5 = 0;
+				} else {
+					s5 = bsize;
+					j5 -= bsize;
+				}
+				dc6 = sc[6] - ( s5*sc[5] );
+				dx6 = sx[6] - ( s5*sx[5] );
+				dy6 = sy[6] - ( s5*sy[5] );
+				do6 = so[6] - ( s5*so[5] );
+				oc5 = oc6 + ( j5*sc[5] );
+				ox5 = ox6 + ( j5*sx[5] );
+				oy5 = oy6 + ( j5*sy[5] );
+				oo5 = oo6 + ( j5*so[5] );
+				for ( j4 = sh[4]; j4 > 0; ) {
+					if ( j4 < bsize ) {
+						s4 = j4;
+						j4 = 0;
+					} else {
+						s4 = bsize;
+						j4 -= bsize;
+					}
+					dc5 = sc[5] - ( s4*sc[4] );
+					dx5 = sx[5] - ( s4*sx[4] );
+					dy5 = sy[5] - ( s4*sy[4] );
+					do5 = so[5] - ( s4*so[4] );
+					oc4 = oc5 + ( j4*sc[4] );
+					ox4 = ox5 + ( j4*sx[4] );
+					oy4 = oy5 + ( j4*sy[4] );
+					oo4 = oo5 + ( j4*so[4] );
+					for ( j3 = sh[3]; j3 > 0; ) {
+						if ( j3 < bsize ) {
+							s3 = j3;
+							j3 = 0;
+						} else {
+							s3 = bsize;
+							j3 -= bsize;
+						}
+						dc4 = sc[4] - ( s3*sc[3] );
+						dx4 = sx[4] - ( s3*sx[3] );
+						dy4 = sy[4] - ( s3*sy[3] );
+						do4 = so[4] - ( s3*so[3] );
+						oc3 = oc4 + ( j3*sc[3] );
+						ox3 = ox4 + ( j3*sx[3] );
+						oy3 = oy4 + ( j3*sy[3] );
+						oo3 = oo4 + ( j3*so[3] );
+						for ( j2 = sh[2]; j2 > 0; ) {
+							if ( j2 < bsize ) {
+								s2 = j2;
+								j2 = 0;
+							} else {
+								s2 = bsize;
+								j2 -= bsize;
+							}
+							dc3 = sc[3] - ( s2*sc[2] );
+							dx3 = sx[3] - ( s2*sx[2] );
+							dy3 = sy[3] - ( s2*sy[2] );
+							do3 = so[3] - ( s2*so[2] );
+							oc2 = oc3 + ( j2*sc[2] );
+							ox2 = ox3 + ( j2*sx[2] );
+							oy2 = oy3 + ( j2*sy[2] );
+							oo2 = oo3 + ( j2*so[2] );
+							for ( j1 = sh[1]; j1 > 0; ) {
+								if ( j1 < bsize ) {
+									s1 = j1;
+									j1 = 0;
+								} else {
+									s1 = bsize;
+									j1 -= bsize;
+								}
+								dc2 = sc[2] - ( s1*sc[1] );
+								dx2 = sx[2] - ( s1*sx[1] );
+								dy2 = sy[2] - ( s1*sy[1] );
+								do2 = so[2] - ( s1*so[1] );
+								oc1 = oc2 + ( j1*sc[1] );
+								ox1 = ox2 + ( j1*sx[1] );
+								oy1 = oy2 + ( j1*sy[1] );
+								oo1 = oo2 + ( j1*so[1] );
+								for ( j0 = sh[0]; j0 > 0; ) {
+									if ( j0 < bsize ) {
+										s0 = j0;
+										j0 = 0;
+									} else {
+										s0 = bsize;
+										j0 -= bsize;
+									}
+									// Compute index offsets for the first input and output ndarray elements in the current block...
+									ic = oc1 + ( j0*sc[0] );
+									ix = ox1 + ( j0*sx[0] );
+									iy = oy1 + ( j0*sy[0] );
+									io = oo1 + ( j0*so[0] );
+
+									// Compute loop offset increments...
+									dc1 = sc[1] - ( s0*sc[0] );
+									dx1 = sx[1] - ( s0*sx[0] );
+									dy1 = sy[1] - ( s0*sy[0] );
+									do1 = so[1] - ( s0*so[0] );
+
+									// Iterate over the ndarray dimensions...
+									for ( i7 = 0; i7 < s7; i7++ ) {
+										for ( i6 = 0; i6 < s6; i6++ ) {
+											for ( i5 = 0; i5 < s5; i5++ ) {
+												for ( i4 = 0; i4 < s4; i4++ ) {
+													for ( i3 = 0; i3 < s3; i3++ ) {
+														for ( i2 = 0; i2 < s2; i2++ ) {
+															for ( i1 = 0; i1 < s1; i1++ ) {
+																for ( i0 = 0; i0 < s0; i0++ ) {
+																	seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+																	ic += dc0;
+																	ix += dx0;
+																	iy += dy0;
+																	io += do0;
+																}
+																ic += dc1;
+																ix += dx1;
+																iy += dy1;
+																io += do1;
+															}
+															ic += dc2;
+															ix += dx2;
+															iy += dy2;
+															io += do2;
+														}
+														ic += dc3;
+														ix += dx3;
+														iy += dy3;
+														io += do3;
+													}
+													ic += dc4;
+													ix += dx4;
+													iy += dy4;
+													io += do4;
+												}
+												ic += dc5;
+												ix += dx5;
+												iy += dy5;
+												io += do5;
+											}
+											ic += dc6;
+											ix += dx6;
+											iy += dy6;
+											io += do6;
+										}
+										ic += dc7;
+										ix += dx7;
+										iy += dy7;
+										io += do7;
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere8d;

From 5d33b18c2d6d1338696fb7b740a00446476c494f Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 02:32:15 +0200
Subject: [PATCH 18/33] feat: add 9d implementations

---
 .../@stdlib/ndarray/base/where/lib/9d.js      | 370 ++++++++++++
 .../ndarray/base/where/lib/9d_accessors.js    | 405 ++++++++++++++
 .../ndarray/base/where/lib/9d_blocked.js      | 495 ++++++++++++++++
 .../base/where/lib/9d_blocked_accessors.js    | 529 ++++++++++++++++++
 4 files changed, 1799 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js
new file mode 100644
index 000000000000..3de33356108e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js
@@ -0,0 +1,370 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two nine-dimensional input ndarrays according to a nine-dimensional boolean ndarray and assigns results to elements in a nine-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where9d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 8 ];
+		S1 = sh[ 7 ];
+		S2 = sh[ 6 ];
+		S3 = sh[ 5 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 3 ];
+		S6 = sh[ 2 ];
+		S7 = sh[ 1 ];
+		S8 = sh[ 0 ];
+		dc0 = sc[ 8 ];                // offset increment for innermost loop
+		dc1 = sc[ 7 ] - ( S0*sc[8] );
+		dc2 = sc[ 6 ] - ( S1*sc[7] );
+		dc3 = sc[ 5 ] - ( S2*sc[6] );
+		dc4 = sc[ 4 ] - ( S3*sc[5] );
+		dc5 = sc[ 3 ] - ( S4*sc[4] );
+		dc6 = sc[ 2 ] - ( S5*sc[3] );
+		dc7 = sc[ 1 ] - ( S6*sc[2] );
+		dc8 = sc[ 0 ] - ( S7*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 8 ];
+		dx1 = sx[ 7 ] - ( S0*sx[8] );
+		dx2 = sx[ 6 ] - ( S1*sx[7] );
+		dx3 = sx[ 5 ] - ( S2*sx[6] );
+		dx4 = sx[ 4 ] - ( S3*sx[5] );
+		dx5 = sx[ 3 ] - ( S4*sx[4] );
+		dx6 = sx[ 2 ] - ( S5*sx[3] );
+		dx7 = sx[ 1 ] - ( S6*sx[2] );
+		dx8 = sx[ 0 ] - ( S7*sx[1] );
+		dy0 = sy[ 8 ];
+		dy1 = sy[ 7 ] - ( S0*sy[8] );
+		dy2 = sy[ 6 ] - ( S1*sy[7] );
+		dy3 = sy[ 5 ] - ( S2*sy[6] );
+		dy4 = sy[ 4 ] - ( S3*sy[5] );
+		dy5 = sy[ 3 ] - ( S4*sy[4] );
+		dy6 = sy[ 2 ] - ( S5*sy[3] );
+		dy7 = sy[ 1 ] - ( S6*sy[2] );
+		dy8 = sy[ 0 ] - ( S7*sy[1] );
+		do0 = so[ 8 ];
+		do1 = so[ 7 ] - ( S0*so[8] );
+		do2 = so[ 6 ] - ( S1*so[7] );
+		do3 = so[ 5 ] - ( S2*so[6] );
+		do4 = so[ 4 ] - ( S3*so[5] );
+		do5 = so[ 3 ] - ( S4*so[4] );
+		do6 = so[ 2 ] - ( S5*so[3] );
+		do7 = so[ 1 ] - ( S6*so[2] );
+		do8 = so[ 0 ] - ( S7*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		S7 = sh[ 7 ];
+		S8 = sh[ 8 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] );
+		dc7 = sc[ 7 ] - ( S6*sc[6] );
+		dc8 = sc[ 8 ] - ( S7*sc[7] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dx7 = sx[ 7 ] - ( S6*sx[6] );
+		dx8 = sx[ 8 ] - ( S7*sx[7] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		dy7 = sy[ 7 ] - ( S6*sy[6] );
+		dy8 = sy[ 8 ] - ( S7*sy[7] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+		do7 = so[ 7 ] - ( S6*so[6] );
+		do8 = so[ 8 ] - ( S7*so[7] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i8 = 0; i8 < S8; i8++ ) {
+		for ( i7 = 0; i7 < S7; i7++ ) {
+			for ( i6 = 0; i6 < S6; i6++ ) {
+				for ( i5 = 0; i5 < S5; i5++ ) {
+					for ( i4 = 0; i4 < S4; i4++ ) {
+						for ( i3 = 0; i3 < S3; i3++ ) {
+							for ( i2 = 0; i2 < S2; i2++ ) {
+								for ( i1 = 0; i1 < S1; i1++ ) {
+									for ( i0 = 0; i0 < S0; i0++ ) {
+										obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+										ic += dc0;
+										ix += dx0;
+										iy += dy0;
+										io += do0;
+									}
+									ic += dc1;
+									ix += dx1;
+									iy += dy1;
+									io += do1;
+								}
+								ic += dc2;
+								ix += dx2;
+								iy += dy2;
+								io += do2;
+							}
+							ic += dc3;
+							ix += dx3;
+							iy += dy3;
+							io += do3;
+						}
+						ic += dc4;
+						ix += dx4;
+						iy += dy4;
+						io += do4;
+					}
+					ic += dc5;
+					ix += dx5;
+					iy += dy5;
+					io += do5;
+				}
+				ic += dc6;
+				ix += dx6;
+				iy += dy6;
+				io += do6;
+			}
+			ic += dc7;
+			ix += dx7;
+			iy += dy7;
+			io += do7;
+		}
+		ic += dc8;
+		ix += dx8;
+		iy += dy8;
+		io += do8;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js
new file mode 100644
index 000000000000..7a53dae58ce9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js
@@ -0,0 +1,405 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two nine-dimensional input ndarrays according to a nine-dimensional boolean ndarray and assigns results to elements in a nine-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where9d( condition, x, y, out, true );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 8 ];
+		S1 = sh[ 7 ];
+		S2 = sh[ 6 ];
+		S3 = sh[ 5 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 3 ];
+		S6 = sh[ 2 ];
+		S7 = sh[ 1 ];
+		S8 = sh[ 0 ];
+		dc0 = sc[ 8 ];                // offset increment for innermost loop
+		dc1 = sc[ 7 ] - ( S0*sc[8] );
+		dc2 = sc[ 6 ] - ( S1*sc[7] );
+		dc3 = sc[ 5 ] - ( S2*sc[6] );
+		dc4 = sc[ 4 ] - ( S3*sc[5] );
+		dc5 = sc[ 3 ] - ( S4*sc[4] );
+		dc6 = sc[ 2 ] - ( S5*sc[3] );
+		dc7 = sc[ 1 ] - ( S6*sc[2] );
+		dc8 = sc[ 0 ] - ( S7*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 8 ];
+		dx1 = sx[ 7 ] - ( S0*sx[8] );
+		dx2 = sx[ 6 ] - ( S1*sx[7] );
+		dx3 = sx[ 5 ] - ( S2*sx[6] );
+		dx4 = sx[ 4 ] - ( S3*sx[5] );
+		dx5 = sx[ 3 ] - ( S4*sx[4] );
+		dx6 = sx[ 2 ] - ( S5*sx[3] );
+		dx7 = sx[ 1 ] - ( S6*sx[2] );
+		dx8 = sx[ 0 ] - ( S7*sx[1] );
+		dy0 = sy[ 8 ];
+		dy1 = sy[ 7 ] - ( S0*sy[8] );
+		dy2 = sy[ 6 ] - ( S1*sy[7] );
+		dy3 = sy[ 5 ] - ( S2*sy[6] );
+		dy4 = sy[ 4 ] - ( S3*sy[5] );
+		dy5 = sy[ 3 ] - ( S4*sy[4] );
+		dy6 = sy[ 2 ] - ( S5*sy[3] );
+		dy7 = sy[ 1 ] - ( S6*sy[2] );
+		dy8 = sy[ 0 ] - ( S7*sy[1] );
+		do0 = so[ 8 ];
+		do1 = so[ 7 ] - ( S0*so[8] );
+		do2 = so[ 6 ] - ( S1*so[7] );
+		do3 = so[ 5 ] - ( S2*so[6] );
+		do4 = so[ 4 ] - ( S3*so[5] );
+		do5 = so[ 3 ] - ( S4*so[4] );
+		do6 = so[ 2 ] - ( S5*so[3] );
+		do7 = so[ 1 ] - ( S6*so[2] );
+		do8 = so[ 0 ] - ( S7*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		S7 = sh[ 7 ];
+		S8 = sh[ 8 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] );
+		dc7 = sc[ 7 ] - ( S6*sc[6] );
+		dc8 = sc[ 8 ] - ( S7*sc[7] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dx7 = sx[ 7 ] - ( S6*sx[6] );
+		dx8 = sx[ 8 ] - ( S7*sx[7] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		dy7 = sy[ 7 ] - ( S6*sy[6] );
+		dy8 = sy[ 8 ] - ( S7*sy[7] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+		do7 = so[ 7 ] - ( S6*so[6] );
+		do8 = so[ 8 ] - ( S7*so[7] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i8 = 0; i8 < S8; i8++ ) {
+		for ( i7 = 0; i7 < S7; i7++ ) {
+			for ( i6 = 0; i6 < S6; i6++ ) {
+				for ( i5 = 0; i5 < S5; i5++ ) {
+					for ( i4 = 0; i4 < S4; i4++ ) {
+						for ( i3 = 0; i3 < S3; i3++ ) {
+							for ( i2 = 0; i2 < S2; i2++ ) {
+								for ( i1 = 0; i1 < S1; i1++ ) {
+									for ( i0 = 0; i0 < S0; i0++ ) {
+										seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+										ic += dc0;
+										ix += dx0;
+										iy += dy0;
+										io += do0;
+									}
+									ic += dc1;
+									ix += dx1;
+									iy += dy1;
+									io += do1;
+								}
+								ic += dc2;
+								ix += dx2;
+								iy += dy2;
+								io += do2;
+							}
+							ic += dc3;
+							ix += dx3;
+							iy += dy3;
+							io += do3;
+						}
+						ic += dc4;
+						ix += dx4;
+						iy += dy4;
+						io += do4;
+					}
+					ic += dc5;
+					ix += dx5;
+					iy += dy5;
+					io += do5;
+				}
+				ic += dc6;
+				ix += dx6;
+				iy += dy6;
+				io += do6;
+			}
+			ic += dc7;
+			ix += dx7;
+			iy += dy7;
+			io += do7;
+		}
+		ic += dc8;
+		ix += dx8;
+		iy += dy8;
+		io += do8;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js
new file mode 100644
index 000000000000..999676886ae9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js
@@ -0,0 +1,495 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two nine-dimensional input ndarrays according to a nine-dimensional boolean ndarray and assigns results to elements in a nine-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere9d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function blockedwhere9d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var oc7;
+	var oc8;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var ox7;
+	var ox8;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var oo7;
+	var oo8;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	var j8;
+	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( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j8 = sh[8]; j8 > 0; ) {
+		if ( j8 < bsize ) {
+			s8 = j8;
+			j8 = 0;
+		} else {
+			s8 = bsize;
+			j8 -= bsize;
+		}
+		oc8 = oc + ( j8*sc[8] );
+		ox8 = ox + ( j8*sx[8] );
+		oy8 = oy + ( j8*sy[8] );
+		oo8 = oo + ( j8*so[8] );
+		for ( j7 = sh[7]; j7 > 0; ) {
+			if ( j7 < bsize ) {
+				s7 = j7;
+				j7 = 0;
+			} else {
+				s7 = bsize;
+				j7 -= bsize;
+			}
+			dc8 = sc[8] - ( s7*sc[7] );
+			dx8 = sx[8] - ( s7*sx[7] );
+			dy8 = sy[8] - ( s7*sy[7] );
+			do8 = so[8] - ( s7*so[7] );
+			oc7 = oc8 + ( j7*sc[7] );
+			ox7 = ox8 + ( j7*sx[7] );
+			oy7 = oy8 + ( j7*sy[7] );
+			oo7 = oo8 + ( j7*so[7] );
+			for ( j6 = sh[6]; j6 > 0; ) {
+				if ( j6 < bsize ) {
+					s6 = j6;
+					j6 = 0;
+				} else {
+					s6 = bsize;
+					j6 -= bsize;
+				}
+				dc7 = sc[7] - ( s6*sc[6] );
+				dx7 = sx[7] - ( s6*sx[6] );
+				dy7 = sy[7] - ( s6*sy[6] );
+				do7 = so[7] - ( s6*so[6] );
+				oc6 = oc7 + ( j6*sc[6] );
+				ox6 = ox7 + ( j6*sx[6] );
+				oy6 = oy7 + ( j6*sy[6] );
+				oo6 = oo7 + ( j6*so[6] );
+				for ( j5 = sh[5]; j5 > 0; ) {
+					if ( j5 < bsize ) {
+						s5 = j5;
+						j5 = 0;
+					} else {
+						s5 = bsize;
+						j5 -= bsize;
+					}
+					dc6 = sc[6] - ( s5*sc[5] );
+					dx6 = sx[6] - ( s5*sx[5] );
+					dy6 = sy[6] - ( s5*sy[5] );
+					do6 = so[6] - ( s5*so[5] );
+					oc5 = oc6 + ( j5*sc[5] );
+					ox5 = ox6 + ( j5*sx[5] );
+					oy5 = oy6 + ( j5*sy[5] );
+					oo5 = oo6 + ( j5*so[5] );
+					for ( j4 = sh[4]; j4 > 0; ) {
+						if ( j4 < bsize ) {
+							s4 = j4;
+							j4 = 0;
+						} else {
+							s4 = bsize;
+							j4 -= bsize;
+						}
+						dc5 = sc[5] - ( s4*sc[4] );
+						dx5 = sx[5] - ( s4*sx[4] );
+						dy5 = sy[5] - ( s4*sy[4] );
+						do5 = so[5] - ( s4*so[4] );
+						oc4 = oc5 + ( j4*sc[4] );
+						ox4 = ox5 + ( j4*sx[4] );
+						oy4 = oy5 + ( j4*sy[4] );
+						oo4 = oo5 + ( j4*so[4] );
+						for ( j3 = sh[3]; j3 > 0; ) {
+							if ( j3 < bsize ) {
+								s3 = j3;
+								j3 = 0;
+							} else {
+								s3 = bsize;
+								j3 -= bsize;
+							}
+							dc4 = sc[4] - ( s3*sc[3] );
+							dx4 = sx[4] - ( s3*sx[3] );
+							dy4 = sy[4] - ( s3*sy[3] );
+							do4 = so[4] - ( s3*so[3] );
+							oc3 = oc4 + ( j3*sc[3] );
+							ox3 = ox4 + ( j3*sx[3] );
+							oy3 = oy4 + ( j3*sy[3] );
+							oo3 = oo4 + ( j3*so[3] );
+							for ( j2 = sh[2]; j2 > 0; ) {
+								if ( j2 < bsize ) {
+									s2 = j2;
+									j2 = 0;
+								} else {
+									s2 = bsize;
+									j2 -= bsize;
+								}
+								dc3 = sc[3] - ( s2*sc[2] );
+								dx3 = sx[3] - ( s2*sx[2] );
+								dy3 = sy[3] - ( s2*sy[2] );
+								do3 = so[3] - ( s2*so[2] );
+								oc2 = oc3 + ( j2*sc[2] );
+								ox2 = ox3 + ( j2*sx[2] );
+								oy2 = oy3 + ( j2*sy[2] );
+								oo2 = oo3 + ( j2*so[2] );
+								for ( j1 = sh[1]; j1 > 0; ) {
+									if ( j1 < bsize ) {
+										s1 = j1;
+										j1 = 0;
+									} else {
+										s1 = bsize;
+										j1 -= bsize;
+									}
+									dc2 = sc[2] - ( s1*sc[1] );
+									dx2 = sx[2] - ( s1*sx[1] );
+									dy2 = sy[2] - ( s1*sy[1] );
+									do2 = so[2] - ( s1*so[1] );
+									oc1 = oc2 + ( j1*sc[1] );
+									ox1 = ox2 + ( j1*sx[1] );
+									oy1 = oy2 + ( j1*sy[1] );
+									oo1 = oo2 + ( j1*so[1] );
+									for ( j0 = sh[0]; j0 > 0; ) {
+										if ( j0 < bsize ) {
+											s0 = j0;
+											j0 = 0;
+										} else {
+											s0 = bsize;
+											j0 -= bsize;
+										}
+										// Compute index offsets for the first input and output ndarray elements in the current block...
+										ic = oc1 + ( j0*sc[0] );
+										ix = ox1 + ( j0*sx[0] );
+										iy = oy1 + ( j0*sy[0] );
+										io = oo1 + ( j0*so[0] );
+
+										// Compute loop offset increments...
+										dc1 = sc[1] - ( s0*sc[0] );
+										dx1 = sx[1] - ( s0*sx[0] );
+										dy1 = sy[1] - ( s0*sy[0] );
+										do1 = so[1] - ( s0*so[0] );
+
+										// Iterate over the ndarray dimensions...
+										for ( i8 = 0; i8 < s8; i8++ ) {
+											for ( i7 = 0; i7 < s7; i7++ ) {
+												for ( i6 = 0; i6 < s6; i6++ ) {
+													for ( i5 = 0; i5 < s5; i5++ ) {
+														for ( i4 = 0; i4 < s4; i4++ ) {
+															for ( i3 = 0; i3 < s3; i3++ ) {
+																for ( i2 = 0; i2 < s2; i2++ ) {
+																	for ( i1 = 0; i1 < s1; i1++ ) {
+																		for ( i0 = 0; i0 < s0; i0++ ) {
+																			obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+																			ic += dc0;
+																			ix += dx0;
+																			iy += dy0;
+																			io += do0;
+																		}
+																		ic += dc1;
+																		ix += dx1;
+																		iy += dy1;
+																		io += do1;
+																	}
+																	ic += dc2;
+																	ix += dx2;
+																	iy += dy2;
+																	io += do2;
+																}
+																ic += dc3;
+																ix += dx3;
+																iy += dy3;
+																io += do3;
+															}
+															ic += dc4;
+															ix += dx4;
+															iy += dy4;
+															io += do4;
+														}
+														ic += dc5;
+														ix += dx5;
+														iy += dy5;
+														io += do5;
+													}
+													ic += dc6;
+													ix += dx6;
+													iy += dy6;
+													io += do6;
+												}
+												ic += dc7;
+												ix += dx7;
+												iy += dy7;
+												io += do7;
+											}
+											ic += dc8;
+											ix += dx8;
+											iy += dy8;
+											io += do8;
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js
new file mode 100644
index 000000000000..8323d4e860b9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js
@@ -0,0 +1,529 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two nine-dimensional input ndarrays according to a nine-dimensional boolean ndarray and assigns results to elements in a nine-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' )
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere9d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere9d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var oc7;
+	var oc8;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var ox7;
+	var ox8;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var oo7;
+	var oo8;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	var j8;
+	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( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[0];
+	getx = x.accessors[0];
+	gety = y.accessors[0];
+	seto = out.accessors[1];
+
+	// Iterate over blocks...
+	for ( j8 = sh[8]; j8 > 0; ) {
+		if ( j8 < bsize ) {
+			s8 = j8;
+			j8 = 0;
+		} else {
+			s8 = bsize;
+			j8 -= bsize;
+		}
+		oc8 = oc + ( j8*sc[8] );
+		ox8 = ox + ( j8*sx[8] );
+		oy8 = oy + ( j8*sy[8] );
+		oo8 = oo + ( j8*so[8] );
+		for ( j7 = sh[7]; j7 > 0; ) {
+			if ( j7 < bsize ) {
+				s7 = j7;
+				j7 = 0;
+			} else {
+				s7 = bsize;
+				j7 -= bsize;
+			}
+			dc8 = sc[8] - ( s7*sc[7] );
+			dx8 = sx[8] - ( s7*sx[7] );
+			dy8 = sy[8] - ( s7*sy[7] );
+			do8 = so[8] - ( s7*so[7] );
+			oc7 = oc8 + ( j7*sc[7] );
+			ox7 = ox8 + ( j7*sx[7] );
+			oy7 = oy8 + ( j7*sy[7] );
+			oo7 = oo8 + ( j7*so[7] );
+			for ( j6 = sh[6]; j6 > 0; ) {
+				if ( j6 < bsize ) {
+					s6 = j6;
+					j6 = 0;
+				} else {
+					s6 = bsize;
+					j6 -= bsize;
+				}
+				dc7 = sc[7] - ( s6*sc[6] );
+				dx7 = sx[7] - ( s6*sx[6] );
+				dy7 = sy[7] - ( s6*sy[6] );
+				do7 = so[7] - ( s6*so[6] );
+				oc6 = oc7 + ( j6*sc[6] );
+				ox6 = ox7 + ( j6*sx[6] );
+				oy6 = oy7 + ( j6*sy[6] );
+				oo6 = oo7 + ( j6*so[6] );
+				for ( j5 = sh[5]; j5 > 0; ) {
+					if ( j5 < bsize ) {
+						s5 = j5;
+						j5 = 0;
+					} else {
+						s5 = bsize;
+						j5 -= bsize;
+					}
+					dc6 = sc[6] - ( s5*sc[5] );
+					dx6 = sx[6] - ( s5*sx[5] );
+					dy6 = sy[6] - ( s5*sy[5] );
+					do6 = so[6] - ( s5*so[5] );
+					oc5 = oc6 + ( j5*sc[5] );
+					ox5 = ox6 + ( j5*sx[5] );
+					oy5 = oy6 + ( j5*sy[5] );
+					oo5 = oo6 + ( j5*so[5] );
+					for ( j4 = sh[4]; j4 > 0; ) {
+						if ( j4 < bsize ) {
+							s4 = j4;
+							j4 = 0;
+						} else {
+							s4 = bsize;
+							j4 -= bsize;
+						}
+						dc5 = sc[5] - ( s4*sc[4] );
+						dx5 = sx[5] - ( s4*sx[4] );
+						dy5 = sy[5] - ( s4*sy[4] );
+						do5 = so[5] - ( s4*so[4] );
+						oc4 = oc5 + ( j4*sc[4] );
+						ox4 = ox5 + ( j4*sx[4] );
+						oy4 = oy5 + ( j4*sy[4] );
+						oo4 = oo5 + ( j4*so[4] );
+						for ( j3 = sh[3]; j3 > 0; ) {
+							if ( j3 < bsize ) {
+								s3 = j3;
+								j3 = 0;
+							} else {
+								s3 = bsize;
+								j3 -= bsize;
+							}
+							dc4 = sc[4] - ( s3*sc[3] );
+							dx4 = sx[4] - ( s3*sx[3] );
+							dy4 = sy[4] - ( s3*sy[3] );
+							do4 = so[4] - ( s3*so[3] );
+							oc3 = oc4 + ( j3*sc[3] );
+							ox3 = ox4 + ( j3*sx[3] );
+							oy3 = oy4 + ( j3*sy[3] );
+							oo3 = oo4 + ( j3*so[3] );
+							for ( j2 = sh[2]; j2 > 0; ) {
+								if ( j2 < bsize ) {
+									s2 = j2;
+									j2 = 0;
+								} else {
+									s2 = bsize;
+									j2 -= bsize;
+								}
+								dc3 = sc[3] - ( s2*sc[2] );
+								dx3 = sx[3] - ( s2*sx[2] );
+								dy3 = sy[3] - ( s2*sy[2] );
+								do3 = so[3] - ( s2*so[2] );
+								oc2 = oc3 + ( j2*sc[2] );
+								ox2 = ox3 + ( j2*sx[2] );
+								oy2 = oy3 + ( j2*sy[2] );
+								oo2 = oo3 + ( j2*so[2] );
+								for ( j1 = sh[1]; j1 > 0; ) {
+									if ( j1 < bsize ) {
+										s1 = j1;
+										j1 = 0;
+									} else {
+										s1 = bsize;
+										j1 -= bsize;
+									}
+									dc2 = sc[2] - ( s1*sc[1] );
+									dx2 = sx[2] - ( s1*sx[1] );
+									dy2 = sy[2] - ( s1*sy[1] );
+									do2 = so[2] - ( s1*so[1] );
+									oc1 = oc2 + ( j1*sc[1] );
+									ox1 = ox2 + ( j1*sx[1] );
+									oy1 = oy2 + ( j1*sy[1] );
+									oo1 = oo2 + ( j1*so[1] );
+									for ( j0 = sh[0]; j0 > 0; ) {
+										if ( j0 < bsize ) {
+											s0 = j0;
+											j0 = 0;
+										} else {
+											s0 = bsize;
+											j0 -= bsize;
+										}
+										// Compute index offsets for the first input and output ndarray elements in the current block...
+										ic = oc1 + ( j0*sc[0] );
+										ix = ox1 + ( j0*sx[0] );
+										iy = oy1 + ( j0*sy[0] );
+										io = oo1 + ( j0*so[0] );
+
+										// Compute loop offset increments...
+										dc1 = sc[1] - ( s0*sc[0] );
+										dx1 = sx[1] - ( s0*sx[0] );
+										dy1 = sy[1] - ( s0*sy[0] );
+										do1 = so[1] - ( s0*so[0] );
+
+										// Iterate over the ndarray dimensions...
+										for ( i8 = 0; i8 < s8; i8++ ) {
+											for ( i7 = 0; i7 < s7; i7++ ) {
+												for ( i6 = 0; i6 < s6; i6++ ) {
+													for ( i5 = 0; i5 < s5; i5++ ) {
+														for ( i4 = 0; i4 < s4; i4++ ) {
+															for ( i3 = 0; i3 < s3; i3++ ) {
+																for ( i2 = 0; i2 < s2; i2++ ) {
+																	for ( i1 = 0; i1 < s1; i1++ ) {
+																		for ( i0 = 0; i0 < s0; i0++ ) {
+																			seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+																			ic += dc0;
+																			ix += dx0;
+																			iy += dy0;
+																			io += do0;
+																		}
+																		ic += dc1;
+																		ix += dx1;
+																		iy += dy1;
+																		io += do1;
+																	}
+																	ic += dc2;
+																	ix += dx2;
+																	iy += dy2;
+																	io += do2;
+																}
+																ic += dc3;
+																ix += dx3;
+																iy += dy3;
+																io += do3;
+															}
+															ic += dc4;
+															ix += dx4;
+															iy += dy4;
+															io += do4;
+														}
+														ic += dc5;
+														ix += dx5;
+														iy += dy5;
+														io += do5;
+													}
+													ic += dc6;
+													ix += dx6;
+													iy += dy6;
+													io += do6;
+												}
+												ic += dc7;
+												ix += dx7;
+												iy += dy7;
+												io += do7;
+											}
+											ic += dc8;
+											ix += dx8;
+											iy += dy8;
+											io += do8;
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere9d;

From d4450cf9f3706ff6adbeda3c982f0dd35826d0c0 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 02:44:10 +0200
Subject: [PATCH 19/33] feat: add 10d implementations

---
 .../@stdlib/ndarray/base/where/lib/10d.js     | 392 ++++++++++++
 .../ndarray/base/where/lib/10d_accessors.js   | 427 +++++++++++++
 .../ndarray/base/where/lib/10d_blocked.js     | 529 ++++++++++++++++
 .../base/where/lib/10d_blocked_accessors.js   | 563 ++++++++++++++++++
 4 files changed, 1911 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js
new file mode 100644
index 000000000000..bae4921e557e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js
@@ -0,0 +1,392 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two ten-dimensional input ndarrays according to a ten-dimensional boolean ndarray and assigns results to elements in a ten-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where10d( condition, x, y, out, true );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dc9;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dx9;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var do9;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var S9;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var i9;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 9 ];
+		S1 = sh[ 8 ];
+		S2 = sh[ 7 ];
+		S3 = sh[ 6 ];
+		S4 = sh[ 5 ];
+		S5 = sh[ 4 ];
+		S6 = sh[ 3 ];
+		S7 = sh[ 2 ];
+		S8 = sh[ 1 ];
+		S9 = sh[ 0 ];
+		dc0 = sc[ 9 ];                // offset increment for innermost loop
+		dc1 = sc[ 8 ] - ( S0*sc[9] );
+		dc2 = sc[ 7 ] - ( S1*sc[8] );
+		dc3 = sc[ 6 ] - ( S2*sc[7] );
+		dc4 = sc[ 5 ] - ( S3*sc[6] );
+		dc5 = sc[ 4 ] - ( S4*sc[5] );
+		dc6 = sc[ 3 ] - ( S5*sc[4] );
+		dc7 = sc[ 2 ] - ( S6*sc[3] );
+		dc8 = sc[ 1 ] - ( S7*sc[2] );
+		dc9 = sc[ 0 ] - ( S8*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 9 ];
+		dx1 = sx[ 8 ] - ( S0*sx[9] );
+		dx2 = sx[ 7 ] - ( S1*sx[8] );
+		dx3 = sx[ 6 ] - ( S2*sx[7] );
+		dx4 = sx[ 5 ] - ( S3*sx[6] );
+		dx5 = sx[ 4 ] - ( S4*sx[5] );
+		dx6 = sx[ 3 ] - ( S5*sx[4] );
+		dx7 = sx[ 2 ] - ( S6*sx[3] );
+		dx8 = sx[ 1 ] - ( S7*sx[2] );
+		dx9 = sx[ 0 ] - ( S8*sx[1] );
+		dy0 = sy[ 9 ];
+		dy1 = sy[ 8 ] - ( S0*sy[9] );
+		dy2 = sy[ 7 ] - ( S1*sy[8] );
+		dy3 = sy[ 6 ] - ( S2*sy[7] );
+		dy4 = sy[ 5 ] - ( S3*sy[6] );
+		dy5 = sy[ 4 ] - ( S4*sy[5] );
+		dy6 = sy[ 3 ] - ( S5*sy[4] );
+		dy7 = sy[ 2 ] - ( S6*sy[3] );
+		dy8 = sy[ 1 ] - ( S7*sy[2] );
+		dy9 = sy[ 0 ] - ( S8*sy[1] );
+		do0 = so[ 9 ];
+		do1 = so[ 8 ] - ( S0*so[9] );
+		do2 = so[ 7 ] - ( S1*so[8] );
+		do3 = so[ 6 ] - ( S2*so[7] );
+		do4 = so[ 5 ] - ( S3*so[6] );
+		do5 = so[ 4 ] - ( S4*so[5] );
+		do6 = so[ 3 ] - ( S5*so[4] );
+		do7 = so[ 2 ] - ( S6*so[3] );
+		do8 = so[ 1 ] - ( S7*so[2] );
+		do9 = so[ 0 ] - ( S8*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		S7 = sh[ 7 ];
+		S8 = sh[ 8 ];
+		S9 = sh[ 9 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] );
+		dc7 = sc[ 7 ] - ( S6*sc[6] );
+		dc8 = sc[ 8 ] - ( S7*sc[7] );
+		dc9 = sc[ 9 ] - ( S8*sc[8] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dx7 = sx[ 7 ] - ( S6*sx[6] );
+		dx8 = sx[ 8 ] - ( S7*sx[7] );
+		dx9 = sx[ 9 ] - ( S8*sx[8] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		dy7 = sy[ 7 ] - ( S6*sy[6] );
+		dy8 = sy[ 8 ] - ( S7*sy[7] );
+		dy9 = sy[ 9 ] - ( S8*sy[8] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+		do7 = so[ 7 ] - ( S6*so[6] );
+		do8 = so[ 8 ] - ( S7*so[7] );
+		do9 = so[ 9 ] - ( S8*so[8] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i9 = 0; i9 < S9; i9++ ) {
+		for ( i8 = 0; i8 < S8; i8++ ) {
+			for ( i7 = 0; i7 < S7; i7++ ) {
+				for ( i6 = 0; i6 < S6; i6++ ) {
+					for ( i5 = 0; i5 < S5; i5++ ) {
+						for ( i4 = 0; i4 < S4; i4++ ) {
+							for ( i3 = 0; i3 < S3; i3++ ) {
+								for ( i2 = 0; i2 < S2; i2++ ) {
+									for ( i1 = 0; i1 < S1; i1++ ) {
+										for ( i0 = 0; i0 < S0; i0++ ) {
+											obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+											ic += dc0;
+											ix += dx0;
+											iy += dy0;
+											io += do0;
+										}
+										ic += dc1;
+										ix += dx1;
+										iy += dy1;
+										io += do1;
+									}
+									ic += dc2;
+									ix += dx2;
+									iy += dy2;
+									io += do2;
+								}
+								ic += dc3;
+								ix += dx3;
+								iy += dy3;
+								io += do3;
+							}
+							ic += dc4;
+							ix += dx4;
+							iy += dy4;
+							io += do4;
+						}
+						ic += dc5;
+						ix += dx5;
+						iy += dy5;
+						io += do5;
+					}
+					ic += dc6;
+					ix += dx6;
+					iy += dy6;
+					io += do6;
+				}
+				ic += dc7;
+				ix += dx7;
+				iy += dy7;
+				io += do7;
+			}
+			ic += dc8;
+			ix += dx8;
+			iy += dy8;
+			io += do8;
+		}
+		ic += dc9;
+		ix += dx9;
+		iy += dy9;
+		io += do9;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js
new file mode 100644
index 000000000000..dd49701c4cb8
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js
@@ -0,0 +1,427 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+// MAIN //
+
+/**
+* Applies a condition to two ten-dimensional input ndarrays according to a ten-dimensional boolean ndarray and assigns results to elements in a ten-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* where10d( condition, x, y, out, true );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dc9;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dx9;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var do9;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var S9;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var i9;
+
+	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, 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;
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 9 ];
+		S1 = sh[ 8 ];
+		S2 = sh[ 7 ];
+		S3 = sh[ 6 ];
+		S4 = sh[ 5 ];
+		S5 = sh[ 4 ];
+		S6 = sh[ 3 ];
+		S7 = sh[ 2 ];
+		S8 = sh[ 1 ];
+		S9 = sh[ 0 ];
+		dc0 = sc[ 9 ];                // offset increment for innermost loop
+		dc1 = sc[ 8 ] - ( S0*sc[9] );
+		dc2 = sc[ 7 ] - ( S1*sc[8] );
+		dc3 = sc[ 6 ] - ( S2*sc[7] );
+		dc4 = sc[ 5 ] - ( S3*sc[6] );
+		dc5 = sc[ 4 ] - ( S4*sc[5] );
+		dc6 = sc[ 3 ] - ( S5*sc[4] );
+		dc7 = sc[ 2 ] - ( S6*sc[3] );
+		dc8 = sc[ 1 ] - ( S7*sc[2] );
+		dc9 = sc[ 0 ] - ( S8*sc[1] ); // offset increment for outermost loop
+		dx0 = sx[ 9 ];
+		dx1 = sx[ 8 ] - ( S0*sx[9] );
+		dx2 = sx[ 7 ] - ( S1*sx[8] );
+		dx3 = sx[ 6 ] - ( S2*sx[7] );
+		dx4 = sx[ 5 ] - ( S3*sx[6] );
+		dx5 = sx[ 4 ] - ( S4*sx[5] );
+		dx6 = sx[ 3 ] - ( S5*sx[4] );
+		dx7 = sx[ 2 ] - ( S6*sx[3] );
+		dx8 = sx[ 1 ] - ( S7*sx[2] );
+		dx9 = sx[ 0 ] - ( S8*sx[1] );
+		dy0 = sy[ 9 ];
+		dy1 = sy[ 8 ] - ( S0*sy[9] );
+		dy2 = sy[ 7 ] - ( S1*sy[8] );
+		dy3 = sy[ 6 ] - ( S2*sy[7] );
+		dy4 = sy[ 5 ] - ( S3*sy[6] );
+		dy5 = sy[ 4 ] - ( S4*sy[5] );
+		dy6 = sy[ 3 ] - ( S5*sy[4] );
+		dy7 = sy[ 2 ] - ( S6*sy[3] );
+		dy8 = sy[ 1 ] - ( S7*sy[2] );
+		dy9 = sy[ 0 ] - ( S8*sy[1] );
+		do0 = so[ 9 ];
+		do1 = so[ 8 ] - ( S0*so[9] );
+		do2 = so[ 7 ] - ( S1*so[8] );
+		do3 = so[ 6 ] - ( S2*so[7] );
+		do4 = so[ 5 ] - ( S3*so[6] );
+		do5 = so[ 4 ] - ( S4*so[5] );
+		do6 = so[ 3 ] - ( S5*so[4] );
+		do7 = so[ 2 ] - ( S6*so[3] );
+		do8 = so[ 1 ] - ( S7*so[2] );
+		do9 = so[ 0 ] - ( S8*so[1] );
+	} 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 ];
+		S3 = sh[ 3 ];
+		S4 = sh[ 4 ];
+		S5 = sh[ 5 ];
+		S6 = sh[ 6 ];
+		S7 = sh[ 7 ];
+		S8 = sh[ 8 ];
+		S9 = sh[ 9 ];
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] );
+		dc2 = sc[ 2 ] - ( S1*sc[1] );
+		dc3 = sc[ 3 ] - ( S2*sc[2] );
+		dc4 = sc[ 4 ] - ( S3*sc[3] );
+		dc5 = sc[ 5 ] - ( S4*sc[4] );
+		dc6 = sc[ 6 ] - ( S5*sc[5] );
+		dc7 = sc[ 7 ] - ( S6*sc[6] );
+		dc8 = sc[ 8 ] - ( S7*sc[7] );
+		dc9 = sc[ 9 ] - ( S8*sc[8] ); // offset increment for outermost loop
+		dx0 = sx[ 0 ];
+		dx1 = sx[ 1 ] - ( S0*sx[0] );
+		dx2 = sx[ 2 ] - ( S1*sx[1] );
+		dx3 = sx[ 3 ] - ( S2*sx[2] );
+		dx4 = sx[ 4 ] - ( S3*sx[3] );
+		dx5 = sx[ 5 ] - ( S4*sx[4] );
+		dx6 = sx[ 6 ] - ( S5*sx[5] );
+		dx7 = sx[ 7 ] - ( S6*sx[6] );
+		dx8 = sx[ 8 ] - ( S7*sx[7] );
+		dx9 = sx[ 9 ] - ( S8*sx[8] );
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+		dy4 = sy[ 4 ] - ( S3*sy[3] );
+		dy5 = sy[ 5 ] - ( S4*sy[4] );
+		dy6 = sy[ 6 ] - ( S5*sy[5] );
+		dy7 = sy[ 7 ] - ( S6*sy[6] );
+		dy8 = sy[ 8 ] - ( S7*sy[7] );
+		dy9 = sy[ 9 ] - ( S8*sy[8] );
+		do0 = so[ 0 ];
+		do1 = so[ 1 ] - ( S0*so[0] );
+		do2 = so[ 2 ] - ( S1*so[1] );
+		do3 = so[ 3 ] - ( S2*so[2] );
+		do4 = so[ 4 ] - ( S3*so[3] );
+		do5 = so[ 5 ] - ( S4*so[4] );
+		do6 = so[ 6 ] - ( S5*so[5] );
+		do7 = so[ 7 ] - ( S6*so[6] );
+		do8 = so[ 8 ] - ( S7*so[7] );
+		do9 = so[ 9 ] - ( S8*so[8] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ic = condition.offset;
+	ix = x.offset;
+	iy = y.offset;
+	io = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i9 = 0; i9 < S9; i9++ ) {
+		for ( i8 = 0; i8 < S8; i8++ ) {
+			for ( i7 = 0; i7 < S7; i7++ ) {
+				for ( i6 = 0; i6 < S6; i6++ ) {
+					for ( i5 = 0; i5 < S5; i5++ ) {
+						for ( i4 = 0; i4 < S4; i4++ ) {
+							for ( i3 = 0; i3 < S3; i3++ ) {
+								for ( i2 = 0; i2 < S2; i2++ ) {
+									for ( i1 = 0; i1 < S1; i1++ ) {
+										for ( i0 = 0; i0 < S0; i0++ ) {
+											seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+											ic += dc0;
+											ix += dx0;
+											iy += dy0;
+											io += do0;
+										}
+										ic += dc1;
+										ix += dx1;
+										iy += dy1;
+										io += do1;
+									}
+									ic += dc2;
+									ix += dx2;
+									iy += dy2;
+									io += do2;
+								}
+								ic += dc3;
+								ix += dx3;
+								iy += dy3;
+								io += do3;
+							}
+							ic += dc4;
+							ix += dx4;
+							iy += dy4;
+							io += do4;
+						}
+						ic += dc5;
+						ix += dx5;
+						iy += dy5;
+						io += do5;
+					}
+					ic += dc6;
+					ix += dx6;
+					iy += dy6;
+					io += do6;
+				}
+				ic += dc7;
+				ix += dx7;
+				iy += dy7;
+				io += do7;
+			}
+			ic += dc8;
+			ix += dx8;
+			iy += dy8;
+			io += do8;
+		}
+		ic += dc9;
+		ix += dx9;
+		iy += dy9;
+		io += do9;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = where10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js
new file mode 100644
index 000000000000..41ed39fc2fb7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js
@@ -0,0 +1,529 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two ten-dimensional input ndarrays according to a ten-dimensional boolean ndarray and assigns results to elements in a ten-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var sy = [ 12, 12, 12, 12, 12, 12, 12, 4, 4, 1 ];
+* var so = [ 6, 6, 6, 6, 6, 6, 6, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* blockedwhere10d( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function blockedwhere10d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dc9;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dx9;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var do9;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var oc7;
+	var oc8;
+	var oc9;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var ox7;
+	var ox8;
+	var ox9;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var oy9;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var oo7;
+	var oo8;
+	var oo9;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var s9;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var i9;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	var j8;
+	var j9;
+	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( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Iterate over blocks...
+	for ( j9 = sh[9]; j9 > 0; ) {
+		if ( j9 < bsize ) {
+			s9 = j9;
+			j9 = 0;
+		} else {
+			s9 = bsize;
+			j9 -= bsize;
+		}
+		oc9 = oc + ( j9*sc[9] );
+		ox9 = ox + ( j9*sx[9] );
+		oy9 = oy + ( j9*sy[9] );
+		oo9 = oo + ( j9*so[9] );
+		for ( j8 = sh[8]; j8 > 0; ) {
+			if ( j8 < bsize ) {
+				s8 = j8;
+				j8 = 0;
+			} else {
+				s8 = bsize;
+				j8 -= bsize;
+			}
+			dc9 = sc[9] - ( s8*sc[8] );
+			dx9 = sx[9] - ( s8*sx[8] );
+			dy9 = sy[9] - ( s8*sy[8] );
+			do9 = so[9] - ( s8*so[8] );
+			oc8 = oc9 + ( j8*sc[8] );
+			ox8 = ox9 + ( j8*sx[8] );
+			oy8 = oy9 + ( j8*sy[8] );
+			oo8 = oo9 + ( j8*so[8] );
+			for ( j7 = sh[7]; j7 > 0; ) {
+				if ( j7 < bsize ) {
+					s7 = j7;
+					j7 = 0;
+				} else {
+					s7 = bsize;
+					j7 -= bsize;
+				}
+				dc8 = sc[8] - ( s7*sc[7] );
+				dx8 = sx[8] - ( s7*sx[7] );
+				dy8 = sy[8] - ( s7*sy[7] );
+				do8 = so[8] - ( s7*so[7] );
+				oc7 = oc8 + ( j7*sc[7] );
+				ox7 = ox8 + ( j7*sx[7] );
+				oy7 = oy8 + ( j7*sy[7] );
+				oo7 = oo8 + ( j7*so[7] );
+				for ( j6 = sh[6]; j6 > 0; ) {
+					if ( j6 < bsize ) {
+						s6 = j6;
+						j6 = 0;
+					} else {
+						s6 = bsize;
+						j6 -= bsize;
+					}
+					dc7 = sc[7] - ( s6*sc[6] );
+					dx7 = sx[7] - ( s6*sx[6] );
+					dy7 = sy[7] - ( s6*sy[6] );
+					do7 = so[7] - ( s6*so[6] );
+					oc6 = oc7 + ( j6*sc[6] );
+					ox6 = ox7 + ( j6*sx[6] );
+					oy6 = oy7 + ( j6*sy[6] );
+					oo6 = oo7 + ( j6*so[6] );
+					for ( j5 = sh[5]; j5 > 0; ) {
+						if ( j5 < bsize ) {
+							s5 = j5;
+							j5 = 0;
+						} else {
+							s5 = bsize;
+							j5 -= bsize;
+						}
+						dc6 = sc[6] - ( s5*sc[5] );
+						dx6 = sx[6] - ( s5*sx[5] );
+						dy6 = sy[6] - ( s5*sy[5] );
+						do6 = so[6] - ( s5*so[5] );
+						oc5 = oc6 + ( j5*sc[5] );
+						ox5 = ox6 + ( j5*sx[5] );
+						oy5 = oy6 + ( j5*sy[5] );
+						oo5 = oo6 + ( j5*so[5] );
+						for ( j4 = sh[4]; j4 > 0; ) {
+							if ( j4 < bsize ) {
+								s4 = j4;
+								j4 = 0;
+							} else {
+								s4 = bsize;
+								j4 -= bsize;
+							}
+							dc5 = sc[5] - ( s4*sc[4] );
+							dx5 = sx[5] - ( s4*sx[4] );
+							dy5 = sy[5] - ( s4*sy[4] );
+							do5 = so[5] - ( s4*so[4] );
+							oc4 = oc5 + ( j4*sc[4] );
+							ox4 = ox5 + ( j4*sx[4] );
+							oy4 = oy5 + ( j4*sy[4] );
+							oo4 = oo5 + ( j4*so[4] );
+							for ( j3 = sh[3]; j3 > 0; ) {
+								if ( j3 < bsize ) {
+									s3 = j3;
+									j3 = 0;
+								} else {
+									s3 = bsize;
+									j3 -= bsize;
+								}
+								dc4 = sc[4] - ( s3*sc[3] );
+								dx4 = sx[4] - ( s3*sx[3] );
+								dy4 = sy[4] - ( s3*sy[3] );
+								do4 = so[4] - ( s3*so[3] );
+								oc3 = oc4 + ( j3*sc[3] );
+								ox3 = ox4 + ( j3*sx[3] );
+								oy3 = oy4 + ( j3*sy[3] );
+								oo3 = oo4 + ( j3*so[3] );
+								for ( j2 = sh[2]; j2 > 0; ) {
+									if ( j2 < bsize ) {
+										s2 = j2;
+										j2 = 0;
+									} else {
+										s2 = bsize;
+										j2 -= bsize;
+									}
+									dc3 = sc[3] - ( s2*sc[2] );
+									dx3 = sx[3] - ( s2*sx[2] );
+									dy3 = sy[3] - ( s2*sy[2] );
+									do3 = so[3] - ( s2*so[2] );
+									oc2 = oc3 + ( j2*sc[2] );
+									ox2 = ox3 + ( j2*sx[2] );
+									oy2 = oy3 + ( j2*sy[2] );
+									oo2 = oo3 + ( j2*so[2] );
+									for ( j1 = sh[1]; j1 > 0; ) {
+										if ( j1 < bsize ) {
+											s1 = j1;
+											j1 = 0;
+										} else {
+											s1 = bsize;
+											j1 -= bsize;
+										}
+										dc2 = sc[2] - ( s1*sc[1] );
+										dx2 = sx[2] - ( s1*sx[1] );
+										dy2 = sy[2] - ( s1*sy[1] );
+										do2 = so[2] - ( s1*so[1] );
+										oc1 = oc2 + ( j1*sc[1] );
+										ox1 = ox2 + ( j1*sx[1] );
+										oy1 = oy2 + ( j1*sy[1] );
+										oo1 = oo2 + ( j1*so[1] );
+										for ( j0 = sh[0]; j0 > 0; ) {
+											if ( j0 < bsize ) {
+												s0 = j0;
+												j0 = 0;
+											} else {
+												s0 = bsize;
+												j0 -= bsize;
+											}
+											// Compute index offsets for the first input and output ndarray elements in the current block...
+											ic = oc1 + ( j0*sc[0] );
+											ix = ox1 + ( j0*sx[0] );
+											iy = oy1 + ( j0*sy[0] );
+											io = oo1 + ( j0*so[0] );
+
+											// Compute loop offset increments...
+											dc1 = sc[1] - ( s0*sc[0] );
+											dx1 = sx[1] - ( s0*sx[0] );
+											dy1 = sy[1] - ( s0*sy[0] );
+											do1 = so[1] - ( s0*so[0] );
+
+											// Iterate over the ndarray dimensions...
+											for ( i9 = 0; i9 < s9; i9++ ) {
+												for ( i8 = 0; i8 < s8; i8++ ) {
+													for ( i7 = 0; i7 < s7; i7++ ) {
+														for ( i6 = 0; i6 < s6; i6++ ) {
+															for ( i5 = 0; i5 < s5; i5++ ) {
+																for ( i4 = 0; i4 < s4; i4++ ) {
+																	for ( i3 = 0; i3 < s3; i3++ ) {
+																		for ( i2 = 0; i2 < s2; i2++ ) {
+																			for ( i1 = 0; i1 < s1; i1++ ) {
+																				for ( i0 = 0; i0 < s0; i0++ ) {
+																					obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+																					ic += dc0;
+																					ix += dx0;
+																					iy += dy0;
+																					io += do0;
+																				}
+																				ic += dc1;
+																				ix += dx1;
+																				iy += dy1;
+																				io += do1;
+																			}
+																			ic += dc2;
+																			ix += dx2;
+																			iy += dy2;
+																			io += do2;
+																		}
+																		ic += dc3;
+																		ix += dx3;
+																		iy += dy3;
+																		io += do3;
+																	}
+																	ic += dc4;
+																	ix += dx4;
+																	iy += dy4;
+																	io += do4;
+																}
+																ic += dc5;
+																ix += dx5;
+																iy += dy5;
+																io += do5;
+															}
+															ic += dc6;
+															ix += dx6;
+															iy += dy6;
+															io += do6;
+														}
+														ic += dc7;
+														ix += dx7;
+														iy += dy7;
+														io += do7;
+													}
+													ic += dc8;
+													ix += dx8;
+													iy += dy8;
+													io += do8;
+												}
+												ic += dc9;
+												ix += dx9;
+												iy += dy9;
+												io += do9;
+											}
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js
new file mode 100644
index 000000000000..a0e84117e473
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js
@@ -0,0 +1,563 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/ternary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Applies a condition to two ten-dimensional input ndarrays according to a ten-dimensional boolean ndarray and assigns results to elements in a ten-dimensional output ndarray via loop blocking.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var BooleanArray = require( '@stdlib/array/bool' )
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sx = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var sy = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+* var so = [ 4, 4, 4, 4, 4, 4, 4, 4, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply the condition:
+* blockedwhere10d( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedwhere10d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var dc0;
+	var dc1;
+	var dc2;
+	var dc3;
+	var dc4;
+	var dc5;
+	var dc6;
+	var dc7;
+	var dc8;
+	var dc9;
+	var dx0;
+	var dx1;
+	var dx2;
+	var dx3;
+	var dx4;
+	var dx5;
+	var dx6;
+	var dx7;
+	var dx8;
+	var dx9;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var do0;
+	var do1;
+	var do2;
+	var do3;
+	var do4;
+	var do5;
+	var do6;
+	var do7;
+	var do8;
+	var do9;
+	var oc1;
+	var oc2;
+	var oc3;
+	var oc4;
+	var oc5;
+	var oc6;
+	var oc7;
+	var oc8;
+	var oc9;
+	var ox1;
+	var ox2;
+	var ox3;
+	var ox4;
+	var ox5;
+	var ox6;
+	var ox7;
+	var ox8;
+	var ox9;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var oy9;
+	var oo1;
+	var oo2;
+	var oo3;
+	var oo4;
+	var oo5;
+	var oo6;
+	var oo7;
+	var oo8;
+	var oo9;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var s9;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var i9;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	var j8;
+	var j9;
+	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( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+
+	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
+	sh = o.sh;
+	sc = o.sx;
+	sx = o.sy;
+	sy = o.sz;
+	so = o.sw;
+
+	// Determine the block size:
+	bsize = blockSize( condition.dtype, x.dtype, y.dtype, out.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache offset increments for the innermost loop...
+	dc0 = sc[0];
+	dx0 = sx[0];
+	dy0 = sy[0];
+	do0 = so[0];
+
+	// Cache accessors:
+	getc = condition.accessors[0];
+	getx = x.accessors[0];
+	gety = y.accessors[0];
+	seto = out.accessors[1];
+
+	// Iterate over blocks...
+	for ( j9 = sh[9]; j9 > 0; ) {
+		if ( j9 < bsize ) {
+			s9 = j9;
+			j9 = 0;
+		} else {
+			s9 = bsize;
+			j9 -= bsize;
+		}
+		oc9 = oc + ( j9*sc[9] );
+		ox9 = ox + ( j9*sx[9] );
+		oy9 = oy + ( j9*sy[9] );
+		oo9 = oo + ( j9*so[9] );
+		for ( j8 = sh[8]; j8 > 0; ) {
+			if ( j8 < bsize ) {
+				s8 = j8;
+				j8 = 0;
+			} else {
+				s8 = bsize;
+				j8 -= bsize;
+			}
+			dc9 = sc[9] - ( s8*sc[8] );
+			dx9 = sx[9] - ( s8*sx[8] );
+			dy9 = sy[9] - ( s8*sy[8] );
+			do9 = so[9] - ( s8*so[8] );
+			oc8 = oc9 + ( j8*sc[8] );
+			ox8 = ox9 + ( j8*sx[8] );
+			oy8 = oy9 + ( j8*sy[8] );
+			oo8 = oo9 + ( j8*so[8] );
+			for ( j7 = sh[7]; j7 > 0; ) {
+				if ( j7 < bsize ) {
+					s7 = j7;
+					j7 = 0;
+				} else {
+					s7 = bsize;
+					j7 -= bsize;
+				}
+				dc8 = sc[8] - ( s7*sc[7] );
+				dx8 = sx[8] - ( s7*sx[7] );
+				dy8 = sy[8] - ( s7*sy[7] );
+				do8 = so[8] - ( s7*so[7] );
+				oc7 = oc8 + ( j7*sc[7] );
+				ox7 = ox8 + ( j7*sx[7] );
+				oy7 = oy8 + ( j7*sy[7] );
+				oo7 = oo8 + ( j7*so[7] );
+				for ( j6 = sh[6]; j6 > 0; ) {
+					if ( j6 < bsize ) {
+						s6 = j6;
+						j6 = 0;
+					} else {
+						s6 = bsize;
+						j6 -= bsize;
+					}
+					dc7 = sc[7] - ( s6*sc[6] );
+					dx7 = sx[7] - ( s6*sx[6] );
+					dy7 = sy[7] - ( s6*sy[6] );
+					do7 = so[7] - ( s6*so[6] );
+					oc6 = oc7 + ( j6*sc[6] );
+					ox6 = ox7 + ( j6*sx[6] );
+					oy6 = oy7 + ( j6*sy[6] );
+					oo6 = oo7 + ( j6*so[6] );
+					for ( j5 = sh[5]; j5 > 0; ) {
+						if ( j5 < bsize ) {
+							s5 = j5;
+							j5 = 0;
+						} else {
+							s5 = bsize;
+							j5 -= bsize;
+						}
+						dc6 = sc[6] - ( s5*sc[5] );
+						dx6 = sx[6] - ( s5*sx[5] );
+						dy6 = sy[6] - ( s5*sy[5] );
+						do6 = so[6] - ( s5*so[5] );
+						oc5 = oc6 + ( j5*sc[5] );
+						ox5 = ox6 + ( j5*sx[5] );
+						oy5 = oy6 + ( j5*sy[5] );
+						oo5 = oo6 + ( j5*so[5] );
+						for ( j4 = sh[4]; j4 > 0; ) {
+							if ( j4 < bsize ) {
+								s4 = j4;
+								j4 = 0;
+							} else {
+								s4 = bsize;
+								j4 -= bsize;
+							}
+							dc5 = sc[5] - ( s4*sc[4] );
+							dx5 = sx[5] - ( s4*sx[4] );
+							dy5 = sy[5] - ( s4*sy[4] );
+							do5 = so[5] - ( s4*so[4] );
+							oc4 = oc5 + ( j4*sc[4] );
+							ox4 = ox5 + ( j4*sx[4] );
+							oy4 = oy5 + ( j4*sy[4] );
+							oo4 = oo5 + ( j4*so[4] );
+							for ( j3 = sh[3]; j3 > 0; ) {
+								if ( j3 < bsize ) {
+									s3 = j3;
+									j3 = 0;
+								} else {
+									s3 = bsize;
+									j3 -= bsize;
+								}
+								dc4 = sc[4] - ( s3*sc[3] );
+								dx4 = sx[4] - ( s3*sx[3] );
+								dy4 = sy[4] - ( s3*sy[3] );
+								do4 = so[4] - ( s3*so[3] );
+								oc3 = oc4 + ( j3*sc[3] );
+								ox3 = ox4 + ( j3*sx[3] );
+								oy3 = oy4 + ( j3*sy[3] );
+								oo3 = oo4 + ( j3*so[3] );
+								for ( j2 = sh[2]; j2 > 0; ) {
+									if ( j2 < bsize ) {
+										s2 = j2;
+										j2 = 0;
+									} else {
+										s2 = bsize;
+										j2 -= bsize;
+									}
+									dc3 = sc[3] - ( s2*sc[2] );
+									dx3 = sx[3] - ( s2*sx[2] );
+									dy3 = sy[3] - ( s2*sy[2] );
+									do3 = so[3] - ( s2*so[2] );
+									oc2 = oc3 + ( j2*sc[2] );
+									ox2 = ox3 + ( j2*sx[2] );
+									oy2 = oy3 + ( j2*sy[2] );
+									oo2 = oo3 + ( j2*so[2] );
+									for ( j1 = sh[1]; j1 > 0; ) {
+										if ( j1 < bsize ) {
+											s1 = j1;
+											j1 = 0;
+										} else {
+											s1 = bsize;
+											j1 -= bsize;
+										}
+										dc2 = sc[2] - ( s1*sc[1] );
+										dx2 = sx[2] - ( s1*sx[1] );
+										dy2 = sy[2] - ( s1*sy[1] );
+										do2 = so[2] - ( s1*so[1] );
+										oc1 = oc2 + ( j1*sc[1] );
+										ox1 = ox2 + ( j1*sx[1] );
+										oy1 = oy2 + ( j1*sy[1] );
+										oo1 = oo2 + ( j1*so[1] );
+										for ( j0 = sh[0]; j0 > 0; ) {
+											if ( j0 < bsize ) {
+												s0 = j0;
+												j0 = 0;
+											} else {
+												s0 = bsize;
+												j0 -= bsize;
+											}
+											// Compute index offsets for the first input and output ndarray elements in the current block...
+											ic = oc1 + ( j0*sc[0] );
+											ix = ox1 + ( j0*sx[0] );
+											iy = oy1 + ( j0*sy[0] );
+											io = oo1 + ( j0*so[0] );
+
+											// Compute loop offset increments...
+											dc1 = sc[1] - ( s0*sc[0] );
+											dx1 = sx[1] - ( s0*sx[0] );
+											dy1 = sy[1] - ( s0*sy[0] );
+											do1 = so[1] - ( s0*so[0] );
+
+											// Iterate over the ndarray dimensions...
+											for ( i9 = 0; i9 < s9; i9++ ) {
+												for ( i8 = 0; i8 < s8; i8++ ) {
+													for ( i7 = 0; i7 < s7; i7++ ) {
+														for ( i6 = 0; i6 < s6; i6++ ) {
+															for ( i5 = 0; i5 < s5; i5++ ) {
+																for ( i4 = 0; i4 < s4; i4++ ) {
+																	for ( i3 = 0; i3 < s3; i3++ ) {
+																		for ( i2 = 0; i2 < s2; i2++ ) {
+																			for ( i1 = 0; i1 < s1; i1++ ) {
+																				for ( i0 = 0; i0 < s0; i0++ ) {
+																					seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+																					ic += dc0;
+																					ix += dx0;
+																					iy += dy0;
+																					io += do0;
+																				}
+																				ic += dc1;
+																				ix += dx1;
+																				iy += dy1;
+																				io += do1;
+																			}
+																			ic += dc2;
+																			ix += dx2;
+																			iy += dy2;
+																			io += do2;
+																		}
+																		ic += dc3;
+																		ix += dx3;
+																		iy += dy3;
+																		io += do3;
+																	}
+																	ic += dc4;
+																	ix += dx4;
+																	iy += dy4;
+																	io += do4;
+																}
+																ic += dc5;
+																ix += dx5;
+																iy += dy5;
+																io += do5;
+															}
+															ic += dc6;
+															ix += dx6;
+															iy += dy6;
+															io += do6;
+														}
+														ic += dc7;
+														ix += dx7;
+														iy += dy7;
+														io += do7;
+													}
+													ic += dc8;
+													ix += dx8;
+													iy += dy8;
+													io += do8;
+												}
+												ic += dc9;
+												ix += dx9;
+												iy += dy9;
+												io += do9;
+											}
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedwhere10d;

From 8af00b1e17ea0c20bd55512ea047a646c9295337 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 03:25:18 +0200
Subject: [PATCH 20/33] feat: add nd implementations

---
 .../@stdlib/ndarray/base/where/lib/nd.js      | 200 +++++++++++++++
 .../ndarray/base/where/lib/nd_accessors.js    | 235 ++++++++++++++++++
 2 files changed, 435 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js
new file mode 100644
index 000000000000..20291441e483
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js
@@ -0,0 +1,200 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two n-dimensional input ndarrays according to a n-dimensional boolean ndarray and assigns results to elements in a n-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Float64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 1 ];
+* var sx = [ 4, 1 ];
+* var sy = [ 4, 1 ];
+* var so = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply condition:
+* wherend( condition, x, y, out );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0 ]
+*/
+function wherend( condition, x, y, out ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var ordc;
+	var ordx;
+	var ordy;
+	var ordo;
+	var len;
+	var sh;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i;
+
+	sh = condition.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( sh );
+
+	// Cache references to the input and output ndarray data buffers:
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache references to the respective stride arrays:
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+
+	// Cache the indices of the first indexed elements in the respective ndarrays:
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache the respective array orders:
+	ordc = condition.order;
+	ordx = x.order;
+	ordy = y.order;
+	ordo = out.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++ ) {
+		ic = vind2bind( sh, sc, oc, ordc, i, MODE );
+		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
+		iy = vind2bind( sh, sy, oy, ordy, i, MODE );
+		io = vind2bind( sh, so, oo, ordo, i, MODE );
+		obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = wherend;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js
new file mode 100644
index 000000000000..931a5134d9a5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js
@@ -0,0 +1,235 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 //
+
+/**
+* Applies a condition to two n-dimensional input ndarrays according to a n-dimensional boolean ndarray and assigns results to elements in a n-dimensional output ndarray.
+*
+* @private
+* @param {Object} condition - object containing boolean condition ndarray meta data
+* @param {*} condition.dtype - data type
+* @param {Collection} condition.data - data buffer
+* @param {NonNegativeIntegerArray} condition.shape - dimensions
+* @param {IntegerArray} condition.strides - stride lengths
+* @param {NonNegativeInteger} condition.offset - index offset
+* @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing input ndarray meta data
+* @param {*} 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
+* @param {Object} y - object containing input ndarray meta data
+* @param {*} y.dtype - data type
+* @param {Collection} y.data - data buffer
+* @param {NonNegativeIntegerArray} y.shape - dimensions
+* @param {IntegerArray} y.strides - stride lengths
+* @param {NonNegativeInteger} y.offset - index offset
+* @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
+* @param {Object} out - object containing output ndarray meta data
+* @param {*} out.dtype - data type
+* @param {Collection} out.data - data buffer
+* @param {NonNegativeIntegerArray} out.shape - dimensions
+* @param {IntegerArray} out.strides - stride lengths
+* @param {NonNegativeInteger} out.offset - index offset
+* @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* var Complex64Array = require( '@stdlib/array/complex64' );
+* var Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var BooleanArray = require( '@stdlib/array/bool' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var cbuf = new BooleanArray( [ 1, 0, 0, 1, 0, 1, 1, 0 ] );
+* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
+* var obuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 2, 1 ];
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+* var so = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 0;
+* var ox = 0;
+* var oy = 0;
+* var oo = 0;
+*
+* // Define getters and setters:
+* function getter( buf, idx ) {
+*     return buf.get( idx );
+* }
+*
+* function setter( buf, idx, value ) {
+*     buf.set( value, idx );
+* }
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'bool',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var y = {
+*     'dtype': 'complex64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+* var out = {
+*     'dtype': 'complex64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major',
+*     'accessors': [ getter, setter ]
+* };
+*
+* // Apply condition:
+* wherend( condition, x, y, out );
+*
+* var v = out.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function wherend( condition, x, y, out ) {
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var getc;
+	var getx;
+	var gety;
+	var seto;
+	var obuf;
+	var ordc;
+	var ordx;
+	var ordy;
+	var ordo;
+	var len;
+	var sh;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ic;
+	var ix;
+	var iy;
+	var io;
+	var i;
+
+	sh = condition.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( sh );
+
+	// Cache references to the input and output ndarray data buffers:
+	cbuf = condition.data;
+	xbuf = x.data;
+	ybuf = y.data;
+	obuf = out.data;
+
+	// Cache references to the respective stride arrays:
+	sc = condition.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = out.strides;
+
+	// Cache the indices of the first indexed elements in the respective ndarrays:
+	oc = condition.offset;
+	ox = x.offset;
+	oy = y.offset;
+	oo = out.offset;
+
+	// Cache the respective array orders:
+	ordc = condition.order;
+	ordx = x.order;
+	ordy = y.order;
+	ordo = out.order;
+
+	// Cache accessors:
+	getc = condition.accessors[ 0 ];
+	getx = x.accessors[ 0 ];
+	gety = y.accessors[ 0 ];
+	seto = out.accessors[ 1 ];
+
+	// 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++ ) {
+		ic = vind2bind( sh, sc, oc, ordc, i, MODE );
+		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
+		iy = vind2bind( sh, sy, oy, ordy, i, MODE );
+		io = vind2bind( sh, so, oo, ordo, i, MODE );
+		seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = wherend;

From afcc970942dba25b80becbbc6ed82e21e838693b Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Fri, 6 Mar 2026 03:29:28 +0200
Subject: [PATCH 21/33] feat(WIP): create main.js and index.js

---
 .../@stdlib/ndarray/base/where/lib/index.js   | 100 ++++
 .../@stdlib/ndarray/base/where/lib/main.js    | 495 ++++++++++++++++++
 2 files changed, 595 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/lib/main.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/index.js
new file mode 100644
index 000000000000..986d7ebdc4f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/index.js
@@ -0,0 +1,100 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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';
+
+/**
+* Apply a condition to elements in two input ndarrays and assign results to elements in an output ndarray.
+*
+* @module @stdlib/ndarray/base/where
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var where = require( '@stdlib/ndarray/base/where' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 1 ];
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 4, 4, 1 ];
+* var so = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+*
+* // Apply the condition:
+* where( [ condition, x, y, out ] );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
new file mode 100644
index 000000000000..76d1cfa1e0ca
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -0,0 +1,495 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 format = require( '@stdlib/string/format' );
+var isComplexDataType = require( '@stdlib/ndarray/base/assert/is-complex-floating-point-data-type' );
+var isRealDataType = require( '@stdlib/ndarray/base/assert/is-real-data-type' );
+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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+var castReturn = require( '@stdlib/complex/base/cast-return' );
+var complexCtors = require( '@stdlib/complex/ctors' );
+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 blockedaccessorwhere2d = require( './2d_blocked_accessors.js' );
+var blockedaccessorwhere3d = require( './3d_blocked_accessors.js' );
+var blockedaccessorwhere4d = require( './4d_blocked_accessors.js' );
+var blockedaccessorwhere5d = require( './5d_blocked_accessors.js' );
+var blockedaccessorwhere6d = require( './6d_blocked_accessors.js' );
+var blockedaccessorwhere7d = require( './7d_blocked_accessors.js' );
+var blockedaccessorwhere8d = require( './8d_blocked_accessors.js' );
+var blockedaccessorwhere9d = require( './9d_blocked_accessors.js' );
+var blockedaccessorwhere10d = require( './10d_blocked_accessors.js' );
+var blockedwhere2d = require( './2d_blocked.js' );
+var blockedwhere3d = require( './3d_blocked.js' );
+var blockedwhere4d = require( './4d_blocked.js' );
+var blockedwhere5d = require( './5d_blocked.js' );
+var blockedwhere6d = require( './6d_blocked.js' );
+var blockedwhere7d = require( './7d_blocked.js' );
+var blockedwhere8d = require( './8d_blocked.js' );
+var blockedwhere9d = require( './9d_blocked.js' );
+var blockedwhere10d = require( './10d_blocked.js' );
+var accessorwhere0d = require( './0d_accessors.js' );
+var accessorwhere1d = require( './1d_accessors.js' );
+var accessorwhere2d = require( './2d_accessors.js' );
+var accessorwhere3d = require( './3d_accessors.js' );
+var accessorwhere4d = require( './4d_accessors.js' );
+var accessorwhere5d = require( './5d_accessors.js' );
+var accessorwhere6d = require( './6d_accessors.js' );
+var accessorwhere7d = require( './7d_accessors.js' );
+var accessorwhere8d = require( './8d_accessors.js' );
+var accessorwhere9d = require( './9d_accessors.js' );
+var accessorwhere10d = require( './10d_accessors.js' );
+var accessorwherend = require( './nd_accessors.js' );
+var where0d = require( './0d.js' );
+var where1d = require( './1d.js' );
+var where2d = require( './2d.js' );
+var where3d = require( './3d.js' );
+var where4d = require( './4d.js' );
+var where5d = require( './5d.js' );
+var where6d = require( './6d.js' );
+var where7d = require( './7d.js' );
+var where8d = require( './8d.js' );
+var where9d = require( './9d.js' );
+var where10d = require( './10d.js' );
+var wherend = require( './nd.js' );
+
+
+// VARIABLES //
+
+var WHERE = [
+	where0d,
+	where1d,
+	where2d,
+	where3d,
+	where4d,
+	where5d,
+	where6d,
+	where7d,
+	where8d,
+	where9d,
+	where10d
+];
+var ACCESSOR_WHERE = [
+	accessorwhere0d,
+	accessorwhere1d,
+	accessorwhere2d,
+	accessorwhere3d,
+	accessorwhere4d,
+	accessorwhere5d,
+	accessorwhere6d,
+	accessorwhere7d,
+	accessorwhere8d,
+	accessorwhere9d,
+	accessorwhere10d
+];
+var BLOCKED_WHERE = [
+	blockedwhere2d, // 0
+	blockedwhere3d,
+	blockedwhere4d,
+	blockedwhere5d,
+	blockedwhere6d,
+	blockedwhere7d,
+	blockedwhere8d,
+	blockedwhere9d,
+	blockedwhere10d // 8
+];
+var BLOCKED_ACCESSOR_WHERE = [
+	blockedaccessorwhere2d, // 0
+	blockedaccessorwhere3d,
+	blockedaccessorwhere4d,
+	blockedaccessorwhere5d,
+	blockedaccessorwhere6d,
+	blockedaccessorwhere7d,
+	blockedaccessorwhere8d,
+	blockedaccessorwhere9d,
+	blockedaccessorwhere10d // 8
+];
+var MAX_DIMS = where.length - 1;
+
+// TODO: consider adding a package utility for mapping a complex dtype to its complementary real-valued counterpart
+var COMPLEX_TO_REAL = { // WARNING: this table needs to be manually updated if we add support for additional complex number dtypes
+	'complex128': 'float64',
+	'complex64': 'float32',
+	'complex32': 'float16'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Converts a boolean ndarray to an 8-bit unsigned integer ndarray.
+*
+* ## Notes
+*
+* -   The function mutates the input ndarray object.
+*
+* @private
+* @param {Object} x - input ndarray object
+* @returns {Object} output ndarray object
+*/
+function boolean2uint8( x ) {
+	x.data = reinterpretBoolean( x.data, 0 );
+	x.accessorProtocol = false;
+	return x;
+}
+
+/**
+* Converts a complex-valued floating-point ndarray to a real-valued floating-point ndarray.
+*
+* ## Notes
+*
+* -   The function mutates the input ndarray object.
+*
+* @private
+* @param {Object} x - input ndarray object
+* @returns {Object} output ndarray object
+*/
+function complex2real( x ) {
+	var ndims = x.shape.length;
+
+	x.data = reinterpretComplex( x.data, 0 );
+	x.accessorProtocol = false;
+	x.dtype = COMPLEX_TO_REAL[ String( x.dtype ) ];
+	x.strides = gscal( ndims, 2, x.strides, 1 );
+	x.offset *= 2;
+
+	// Append a trailing dimension where each element is the real and imaginary component for a corresponding element in the original input ndarray (note: this means that a two-dimensional complex-valued ndarray becomes a three-dimensional real-valued ndarray; while this does entail additional loop overhead, it is still significantly faster than sending complex-valued ndarrays down the accessor path):
+	x.shape.push( 2 ); // real and imaginary components
+
+	// Augment the strides, where we assume that real and imaginary components are adjacent in memory...
+	if ( ndims === 0 ) {
+		x.strides[ 0 ] = 1;
+	} else {
+		x.strides.push( 1 );
+	}
+	return x;
+}
+
+
+// MAIN //
+
+/**
+* Applies a condition to elements in two input ndarrays and assigns results to elements in an output ndarray.
+*
+* ## Notes
+*
+* -   Each 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 once condition array, two input arrays, and one output array
+* @throws {Error} arrays must have the same number of dimensions
+* @throws {Error} arrays must have the same shape
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 1 ];
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 4, 4, 1 ];
+* var so = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var condition = {
+*     'dtype': 'uint8',
+*     'data': cbuf,
+*     'shape': shape,
+*     'strides': sc,
+*     'offset': oc,
+*     'order': 'row-major'
+* };
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': shape,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+* var out = {
+*     'dtype': 'float64',
+*     'data': obuf,
+*     'shape': shape,
+*     'strides': so,
+*     'offset': oo,
+*     'order': 'row-major'
+* };
+
+* // Apply the condition:
+* where( [ condition, x, y, out ] );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+function where( arrays ) {
+	var ndims;
+	var cmmv;
+	var xmmv;
+	var ymmv;
+	var ommv;
+	var shc;
+	var shx;
+	var shy;
+	var sho;
+	var ioc;
+	var iox;
+	var ioy;
+	var ioo;
+	var len;
+	var ord;
+	var sc;
+	var sx;
+	var sy;
+	var so;
+	var oc;
+	var ox;
+	var oy;
+	var oo;
+	var ns;
+	var c;
+	var x;
+	var y;
+	var o;
+	var d;
+	var i;
+
+	// Unpack the ndarrays and standardize ndarray meta data:
+	c = ndarray2object( arrays[ 0 ] );
+	x = ndarray2object( arrays[ 1 ] );
+	y = ndarray2object( arrays[ 2 ] );
+	o = ndarray2object( arrays[ 3 ] );
+
+	// Always reinterpret condition array to uint8
+	if ( isBooleanArray(c.data) ) {
+		c = boolean2uint8(c);
+	}
+
+	// Check for known array types which can be reinterpreted for better iteration performance...
+	if ( isBooleanArray( x.data ) && isBooleanArray( y.data ) && isBooleanArray( o.data ) ) {
+		x = boolean2uint8( x );
+		y = boolean2uint8( y );
+		o = boolean2uint8( o );
+	} else if ( isComplexArray( x.data ) && isComplexArray( y.data ) && isComplexArray( o.data ) ) {
+		x = complex2real( x );
+		y = complex2real( y );
+		o = complex2real( o );
+		c.shape.push( 2 ); // real and imaginary components
+		c.strides.push( 0 ); // broadcast
+	}
+	// Determine whether we are casting a real data type to a complex data type and we need to use a specialized accessor (note: we don't support the other way, complex-to-real, as this is not an allowed (mostly) safe cast; note: we cannot create a specialized view for assigning only real components, as the imaginary component for each element in `y` also needs to be set to zero and while we could perform two passes, it's not clear it's worth the effort)...
+	else if ( (isRealDataType( x.dtype ) && isRealDataType( y.dtype ) ) && isComplexDataType( o.dtype ) ) {
+		x.accessorProtocol = true;
+		y.accessorProtocol = true;
+		x.accessors[ 0 ] = castReturn( x.accessors[ 0 ], 2, complexCtors( String( o.dtype ) ) ); // eslint-disable-line max-len
+		y.accessors[ 0 ] = castReturn( y.accessors[ 0 ], 2, complexCtors( String( o.dtype ) ) ); // eslint-disable-line max-len
+	}
+	// Verify that the input and output arrays have the same number of dimensions...
+	shc = c.shape;
+	shx = x.shape;
+	shy = y.shape;
+	sho = o.shape;
+	ndims = shc.length;
+	if ( ndims !== shx.length || ndims !== shy.length || ndims !== sho.length ) {
+		throw new Error( format( 'invalid arguments. Arrays must have the same number of dimensions (i.e., same rank). ndims(c) == %d. ndims(x) == %d. ndims(y) == %d. ndims(o) == %d.', shc.length, shx.length, shy.length, sho.length ) );
+	}
+	// Determine whether we can avoid iteration altogether...
+	if ( ndims === 0 ) {
+		if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+			return ACCESSOR_WHERE[ ndims ]( c, x, y, o );
+		}
+		return WHERE[ ndims ]( c, x, y, o );
+	}
+	// Verify that the input and output arrays have the same dimensions...
+	len = 1; // number of elements
+	ns = 0;  // number of singleton dimensions
+	for ( i = 0; i < ndims; i++ ) {
+		d = shc[ i ];
+		if ( d !== shx[ i ] || d !== shy[ i ] || d !== sho[ i ] ) {
+			throw new Error( 'invalid arguments. Arrays must have the same shape.' );
+		}
+		// 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 empty ndarrays...
+	if ( len === 0 ) {
+		return;
+	}
+	// Determine whether the ndarrays are one-dimensional and thus readily translate to one-dimensional strided arrays...
+	if ( ndims === 1 ) {
+		if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+			return ACCESSOR_WHERE[ ndims ]( c, x, y, o );
+		}
+		return WHERE[ ndims ]( c, x, y, o );
+	}
+	sc = c.strides;
+	sx = x.strides;
+	sy = y.strides;
+	so = o.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 the ndarrays as being equivalent to one-dimensional strided arrays...
+	if ( ns === ndims-1 ) {
+		// Get the index of the non-singleton dimension...
+		for ( i = 0; i < ndims; i++ ) {
+			if ( shc[ i ] !== 1 ) {
+				break;
+			}
+		}
+		c.shape = [ shc[i] ];
+		x.shape = c.shape;
+		y.shape = c.shape;
+		o.shape = c.shape;
+		c.strides = [ sc[i] ];
+		x.strides = [ sx[i] ];
+		y.strides = [ sy[i] ];
+		o.strides = [ so[i] ];
+		if ( x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+			return ACCESSOR_WHERE[ 1 ]( c, x, y, o );
+		}
+		return WHERE[ 1 ]( c, x, y, o );
+	}
+	ioc = iterationOrder( sc ); // +/-1
+	iox = iterationOrder( sx ); // +/-1
+	ioy = iterationOrder( sy ); // +/-1
+	ioo = iterationOrder( so ); // +/-1
+
+	// Determine whether we can avoid blocked iteration...
+	ord = strides2order( sc );
+	if ( ioc !== 0 && iox !== 0 && ioy !== 0 && ioo !== 0 && ord === strides2order( sx ) && ord === strides2order( sy ) && ord === strides2order( so ) ) {
+		// Determine the minimum and maximum linear indices which are accessible by the array views:
+		cmmv = minmaxViewBufferIndex( shc, sc, c.offset );
+		xmmv = minmaxViewBufferIndex( shx, sx, x.offset );
+		ymmv = minmaxViewBufferIndex( shy, sy, y.offset );
+		ommv = minmaxViewBufferIndex( sho, so, o.offset );
+
+		// Determine whether we can ignore shape (and strides) and treat the ndarrays as linear one-dimensional strided arrays...
+		if ( len === ( cmmv[1]-cmmv[0]+1 ) && len === ( xmmv[1]-xmmv[0]+1 ) && len === ( ymmv[1]-ymmv[0]+1 ) && len === ( ommv[1]-ommv[0]+1 ) ) {
+			// Note: the above is equivalent to @stdlib/ndarray/base/assert/is-contiguous, but in-lined so we can retain computed values...
+			if ( ioc === 1 ) {
+				oc = cmmv[ 0 ];
+			} else {
+				oc = cmmv[ 1 ];
+			}
+			if ( iox === 1 ) {
+				oy = xmmv[ 0 ];
+			} else {
+				oy = xmmv[ 1 ];
+			}
+			if ( ioy === 1 ) {
+				oy = ymmv[ 0 ];
+			} else {
+				oy = ymmv[ 1 ];
+			}
+			if ( ioo === 1 ) {
+				oo = ommv[ 0 ];
+			} else {
+				oo = ommv[ 1 ];
+			}
+			c.shape = [ len ];
+			x.shape = c.shape;
+			y.shape = c.shape;
+			o.shape = c.shape;
+			c.strides = [ ioc ];
+			x.strides = [ iox ];
+			y.strides = [ ioy ];
+			o.strides = [ ioo ];
+			c.offset = oc;
+			x.offset = ox;
+			y.offset = oy;
+			o.offset = oo;
+			if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+				return ACCESSOR_WHERE[ 1 ]( c, x, y, o );
+			}
+			return WHERE[ 1 ]( c, x, y, o );
+		}
+		// At least one 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 for each respective array 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 ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+				return ACCESSOR_WHERE[ ndims ]( c, x, y, o, ord === 1 );
+			}
+			return WHERE[ ndims ]( c, x, y, o, ord === 1 );
+		}
+		// Fall-through to blocked iteration...
+	}
+	// At this point, we're either dealing with non-contiguous n-dimensional arrays, high dimensional n-dimensional arrays, and/or arrays having differing memory layouts, so our only hope is that we can still perform blocked iteration...
+
+	// Determine whether we can perform blocked iteration...
+	if ( ndims <= MAX_DIMS ) {
+		if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+			return BLOCKED_ACCESSOR_WHERE[ ndims-2 ]( c, x, y, o );
+		}
+		return BLOCKED_WHERE[ ndims-2 ]( c, x, y, o );
+	}
+	// Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)...
+	if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+		return accessorwherend( c, x, y, o );
+	}
+	wherend( c, x, y, o );
+}
+
+
+// EXPORTS //
+
+module.exports = where;

From 372165af1972d91c622d858ef39669b82b8bf012 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Sat, 7 Mar 2026 02:43:48 +0200
Subject: [PATCH 22/33] test: add tests

---
 .../@stdlib/ndarray/base/where/lib/main.js    |    4 +-
 .../ndarray/base/where/test/test.0d.js        |   85 +
 .../ndarray/base/where/test/test.1d.js        |  204 ++
 .../ndarray/base/where/test/test.2d.js        | 1717 +++++++++++++++++
 .../@stdlib/ndarray/base/where/test/test.js   |  355 ++--
 5 files changed, 2121 insertions(+), 244 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
index 76d1cfa1e0ca..4f6555039ae1 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -430,9 +430,9 @@ function where( arrays ) {
 				oc = cmmv[ 1 ];
 			}
 			if ( iox === 1 ) {
-				oy = xmmv[ 0 ];
+				ox = xmmv[ 0 ];
 			} else {
-				oy = xmmv[ 1 ];
+				ox = xmmv[ 1 ];
 			}
 			if ( ioy === 1 ) {
 				oy = ymmv[ 0 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js
new file mode 100644
index 000000000000..09cc2512468b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js
@@ -0,0 +1,85 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var isSameAccessorArray = require( '@stdlib/assert/is-same-accessor-array' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var where = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof where, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function assigns elements from n 0-dimensional input ndarray to an output ndarray', function test( t ) {
+	var condition;
+	var expected;
+	var out;
+	var x;
+	var y;
+
+	condition = scalar2ndarray( 0, {
+		'dtype': 'uint8'
+	});
+	x = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	y = scalar2ndarray( -10.0, {
+		'dtype': 'float64'
+	});
+	out = scalar2ndarray( 0.0, {
+		'dtype': 'float64'
+	});
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( [ -10.0 ] );
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns elements from n 0-dimensional input ndarray to an output ndarray (accessors)', function test( t ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = ndarray( 'uint8', toAccessorArray( [ 1 ] ), [], [ 0 ], 0, 'row-major' );
+	x = ndarray( 'generic', toAccessorArray( [ 1.0 ] ), [], [ 0 ], 0, 'row-major' );
+	y = ndarray( 'generic', toAccessorArray( [ -1.0 ] ), [], [ 0 ], 0, 'row-major' );
+	out = ndarray( 'generic', toAccessorArray( [ 0.0 ] ), [], [ 0 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
new file mode 100644
index 000000000000..4b85b3b39608
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
@@ -0,0 +1,204 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var isSameAccessorArray = require( '@stdlib/assert/is-same-accessor-array' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var zeros = require( '@stdlib/array/zeros' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var where = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof where, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 1-dimensional input ndarray to an output ndarray', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		0,
+		1,
+		0
+	]);
+	xbuf = new Float64Array([
+		0.0,
+		1.0,
+		0.0,
+		2.0,
+		0.0,
+		3.0,
+		0.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		0.0,
+		-1.0,
+		0.0,
+		-2.0,
+		0.0,
+		-3.0,
+		0.0,
+		-4.0
+	]);
+	condition = ndarray( 'uint8', cbuf, [ 4 ], [ 2 ], 1, 'row-major' );
+	x = ndarray( 'float64', xbuf, [ 4 ], [ 2 ], 1, 'row-major' );
+	y = ndarray( 'float64', ybuf, [ 4 ], [ 2 ], 1, 'row-major' );
+	out = ndarray( 'float64', zeros( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		-1.0,
+		0.0,
+		2.0,
+		0.0,
+		-3.0,
+		0.0,
+		-4.0
+	]);
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 1-dimensional input ndarray to an output ndarray (empty array)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		0,
+		1,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0,
+		5.0,
+		6.0,
+		7.0,
+		8.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0,
+		-5.0,
+		-6.0,
+		-7.0,
+		-8.0
+	]);
+	condition = ndarray( 'uint8', cbuf, [ 0 ], [ 1 ], 0, 'row-major' );
+	x = ndarray( 'float64', xbuf, [ 0 ], [ 1 ], 0, 'row-major' );
+	y = ndarray( 'float64', ybuf, [ 0 ], [ 1 ], 0, 'row-major' );
+	out = ndarray( 'float64', zeros( 8, 'float64' ), [ 0 ], [ 1 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 1-dimensional input ndarray to an output ndarray (accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = [
+		0,
+		0,
+		0,
+		0
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+	condition = ndarray( 'generic', toAccessorArray( cbuf ), [ 4 ], [ 1 ], 0, 'row-major' );
+	x = ndarray( 'generic', toAccessorArray( xbuf ), [ 4 ], [ 1 ], 0, 'row-major' );
+	y = ndarray( 'generic', toAccessorArray( ybuf ), [ 4 ], [ 1 ], 0, 'row-major' );
+	out = ndarray( 'generic', toAccessorArray( zeros( 4, 'generic' ) ), [ 4 ], [ 1 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
new file mode 100644
index 000000000000..13162cc922d4
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
@@ -0,0 +1,1717 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var isSameAccessorArray = require( '@stdlib/assert/is-same-accessor-array' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var zeros = require( '@stdlib/array/zeros' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var dfill = require( '@stdlib/blas/ext/base/dfill' );
+var gfill = require( '@stdlib/blas/ext/base/gfill' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var where = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof where, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, singleton dimensions)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray('uint8', cbuf, sh, st, o, ord);
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( x.data, out.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, empty)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, [ 0, 0 ], [ 1, 1 ], 0, 'row-major' );
+	x = ndarray( 'float64', xbuf, [ 0, 0 ], [ 1, 1 ], 0, 'row-major' );
+	y = ndarray( 'float64', ybuf, [ 0, 0 ], [ 1, 1 ], 0, 'row-major' );
+	out = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0 ], [ 1, 1 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, contiguous)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, contiguous, negative strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 1 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 1 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 1 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 1 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 1 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 1 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), 1.0, xbuf, st[ 1 ] );
+	ybuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), -1.0, ybuf, st[ 1 ] );
+	obuf = zeros( numel( sh )*2, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), 1.0, xbuf, st[ 1 ] );
+	ybuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), -1.0, ybuf, st[ 1 ] );
+	obuf = zeros( numel( sh )*2, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, singleton dimensions)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 4 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, singleton dimensions, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, empty)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, [ 0, 0 ], [ 1, 1 ], 0, 'column-major' );
+	x = ndarray( 'float64', xbuf, [ 0, 0 ], [ 1, 1 ], 0, 'column-major' );
+	y = ndarray( 'float64', ybuf, [ 0, 0 ], [ 1, 1 ], 0, 'column-major' );
+	out = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0 ], [ 1, 1 ], 0, 'column-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, contiguous)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, contiguous, negative strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, -4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ 2, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	dfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, -4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ bsize*2, 2 ];
+	st = [ 2, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 2-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, bsize*2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
index 2d245d4f80b5..76fb081a185a 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
@@ -21,279 +21,150 @@
 // MODULES //
 
 var tape = require( 'tape' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Uint8Array = require( '@stdlib/array/uint8' );
-var where2d = require( './../lib/2d.js' );
+var BooleanArray = require( '@stdlib/array/bool' );
+var zeros = require( '@stdlib/array/zeros' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var where = require( './../lib' );
 
 
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
 	t.ok( true, __filename );
-	t.strictEqual( typeof where2d, 'function', 'main export is a function' );
+	t.strictEqual( typeof where, 'function', 'main export is a function' );
 	t.end();
 });
 
-tape( 'the function selects elements from `x` when the condition is truthy, and from `y` otherwise (row-major)', function test( t ) {
+tape( 'the function throws an error if provided ndarrays which doesnot have the same shape', function test( t ) {
 	var condition;
+	var values;
 	var out;
 	var x;
 	var y;
-
-	// All-true condition: output must equal x entirely
-	condition = {
-		'dtype': 'uint8',
-		'data': new Uint8Array( [ 1, 1, 1, 1 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	y = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	out = {
-		'dtype': 'float64',
-		'data': new Float64Array( 4 ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	where2d( condition, x, y, out, true );
-
-	t.strictEqual( out.data[ 0 ], 1.0, 'returns expected value' );
-	t.strictEqual( out.data[ 1 ], 2.0, 'returns expected value' );
-	t.strictEqual( out.data[ 2 ], 3.0, 'returns expected value' );
-	t.strictEqual( out.data[ 3 ], 4.0, 'returns expected value' );
-
-	// All-false condition: output must equal y entirely
-	condition.data = new Uint8Array( [ 0, 0, 0, 0 ] );
-	out.data = new Float64Array( 4 );
-
-	where2d( condition, x, y, out, true );
-
-	t.strictEqual( out.data[ 0 ], 5.0, 'returns expected value' );
-	t.strictEqual( out.data[ 1 ], 6.0, 'returns expected value' );
-	t.strictEqual( out.data[ 2 ], 7.0, 'returns expected value' );
-	t.strictEqual( out.data[ 3 ], 8.0, 'returns expected value' );
-
-	// Mixed condition: [ 1, 0, 0, 1 ] → [ x0, y1, y2, x3 ]
-	condition.data = new Uint8Array( [ 1, 0, 0, 1 ] );
-	out.data = new Float64Array( 4 );
-
-	where2d( condition, x, y, out, true );
-
-	t.strictEqual( out.data[ 0 ], 1.0, 'returns expected value' );
-	t.strictEqual( out.data[ 1 ], 6.0, 'returns expected value' );
-	t.strictEqual( out.data[ 2 ], 7.0, 'returns expected value' );
-	t.strictEqual( out.data[ 3 ], 4.0, 'returns expected value' );
-
-	t.end();
-});
-
-tape( 'the function selects elements from `x` when the condition is truthy, and from `y` otherwise (column-major)', function test( t ) {
-	var condition;
-	var out;
-	var x;
-	var y;
-
-	condition = {
-		'dtype': 'uint8',
-		'data': new Uint8Array( [ 1, 0, 0, 1 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 1, 2 ],
-		'offset': 0,
-		'order': 'column-major'
-	};
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 1, 2 ],
-		'offset': 0,
-		'order': 'column-major'
-	};
-	y = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 1, 2 ],
-		'offset': 0,
-		'order': 'column-major'
-	};
-	out = {
-		'dtype': 'float64',
-		'data': new Float64Array( 4 ),
-		'shape': [ 2, 2 ],
-		'strides': [ 1, 2 ],
-		'offset': 0,
-		'order': 'column-major'
-	};
-
-	where2d( condition, x, y, out, false );
-
-	t.strictEqual( out.data[ 0 ], 1.0, 'returns expected value' );
-	t.strictEqual( out.data[ 1 ], 6.0, 'returns expected value' );
-	t.strictEqual( out.data[ 2 ], 7.0, 'returns expected value' );
-	t.strictEqual( out.data[ 3 ], 4.0, 'returns expected value' );
-
+	var i;
+
+	condition = ndarray( 'uint8', [ 1, 0, 0, 1 ], [ 4 ], [ 1 ], 0, 'row-major' );
+	x = ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
+	y = ndarray( 'generic', [ -1.0, -2.0, -3.0, -4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
+
+	values = [
+		[ 2 ],
+		[ 3 ],
+		[ 5 ],
+		[ 6 ]
+	];
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+	}
 	t.end();
-});
 
-tape( 'the function supports non-zero offsets', function test( t ) {
-	var condition;
-	var out;
-	var x;
-	var y;
-
-	condition = {
-		'dtype': 'uint8',
-		'data': new Uint8Array( [ 1, 0, 1, 0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 99.0, 2.0, 3.0, 4.0, 5.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 1,
-		'order': 'row-major'
-	};
-	y = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	out = {
-		'dtype': 'float64',
-		'data': new Float64Array( 4 ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	where2d( condition, x, y, out, true );
-
-	t.strictEqual( out.data[ 0 ], 2.0, 'returns expected value' );
-	t.strictEqual( out.data[ 1 ], 20.0, 'returns expected value' );
-	t.strictEqual( out.data[ 2 ], 4.0, 'returns expected value' );
-	t.strictEqual( out.data[ 3 ], 40.0, 'returns expected value' );
-
-	t.end();
+	function badValue( value ) {
+		return function badValue() {
+			out = ndarray( 'float64', zeros( 8, 'float64' ), value, [ 1 ], 0, 'row-major' );
+			where( [ condition, x, y, out ] );
+		};
+	}
 });
 
-tape( 'the function supports non-unit strides', function test( t ) {
+tape( 'the function conditionally assigns elements from an input ndarray to an output ndarray (boolean)', function test( t ) {
 	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
 	var out;
 	var x;
 	var y;
 
-	condition = {
-		'dtype': 'uint8',
-		'data': new Uint8Array( [ 0, 1, 1, 0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 4, 1 ],
-		'offset': 1,
-		'order': 'row-major'
-	};
-	y = {
-		'dtype': 'float64',
-		'data': new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	out = {
-		'dtype': 'float64',
-		'data': new Float64Array( 4 ),
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	where2d( condition, x, y, out, true );
-
-	t.strictEqual( out.data[ 0 ], 10.0, 'returns expected value' );
-	t.strictEqual( out.data[ 1 ], 3.0, 'returns expected value' );
-	t.strictEqual( out.data[ 2 ], 6.0, 'returns expected value' );
-	t.strictEqual( out.data[ 3 ], 40.0, 'returns expected value' );
+	cbuf = new BooleanArray([
+		true,
+		false,
+		false,
+		true
+	]);
+	xbuf = new BooleanArray([
+		true,
+		true,
+		true,
+		true
+	]);
+	ybuf = new BooleanArray([
+		false,
+		false,
+		false,
+		false
+	]);
+
+	condition = ndarray( 'bool', cbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	x = ndarray( 'bool', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	y = ndarray( 'bool', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	out = ndarray( 'bool', zeros( 4, 'bool' ), [ 4 ], [ 1 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new BooleanArray( [ true, false, false, true ] );
+
+	t.deepEqual( expected, out.data, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'the function returns without doing anything when provided a shape with a zero dimension', function test( t ) {
+tape( 'the function conditionally assigns elements from an input ndarray to an output ndarray (complex)', function test( t ) {
 	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
 	var out;
 	var x;
 	var y;
 
-	condition = {
-		'dtype': 'uint8',
-		'data': new Uint8Array( 0 ),
-		'shape': [ 0, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	x = {
-		'dtype': 'float64',
-		'data': new Float64Array( 0 ),
-		'shape': [ 0, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	y = {
-		'dtype': 'float64',
-		'data': new Float64Array( 0 ),
-		'shape': [ 0, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-	out = {
-		'dtype': 'float64',
-		'data': new Float64Array( 0 ),
-		'shape': [ 0, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': 0,
-		'order': 'row-major'
-	};
-
-	where2d( condition, x, y, out, true );
+	cbuf = new BooleanArray([
+		true,
+		false,
+		false,
+		true
+	]);
+	xbuf = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	ybuf = new Complex128Array([
+		-10.0,
+		-10.0,
+		-10.0,
+		-10.0,
+		-10.0,
+		-10.0,
+		-10.0,
+		-10.0
+	]);
+	condition = ndarray( 'bool', cbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	x = ndarray( 'complex128', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	y = ndarray( 'complex128', ybuf, [ 4 ], [ 1 ], 0, 'row-major' );
+	out = ndarray( 'complex128', zeros( 4, 'complex128' ), [ 4 ], [ 1 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		-10.0,
+		-10.0,
+		-10.0,
+		-10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( out.data, expected ), true, 'returns expected value' );
 
-	t.strictEqual( out.data.length, 0, 'returns expected value' );
 	t.end();
 });

From f5228723e35acf6eec1245b4800c319ca9de69b5 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Sat, 7 Mar 2026 03:36:50 +0200
Subject: [PATCH 23/33] docs: add examples, docs and README.md

---
 .../@stdlib/ndarray/base/where/README.md      | 169 +++++++++++++++++-
 .../benchmark/benchmark.2d_columnmajor.js     |  31 ++--
 .../where/benchmark/benchmark.2d_rowmajor.js  |  34 ++--
 .../@stdlib/ndarray/base/where/docs/repl.txt  |  89 +++++++++
 .../ndarray/base/where/docs/types/index.d.ts  |  76 ++++++++
 .../ndarray/base/where/docs/types/test.ts     |  59 ++++++
 .../ndarray/base/where/examples/index.js      |  68 +++++++
 .../@stdlib/ndarray/base/where/package.json   |   2 +
 8 files changed, 493 insertions(+), 35 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/examples/index.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/README.md b/lib/node_modules/@stdlib/ndarray/base/where/README.md
index 0dc6e4faddad..eefdd4018093 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/where/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # Where
 
-> Apply a condition to elements in two input ndarrays and assign results to elements in an output ndarray.
+> Applies a condition to elements in two input ndarrays and assigns results to elements in an output ndarray.
 
 <section class="intro">
 
@@ -30,32 +30,187 @@ limitations under the License.
 
 <section class="usage">
 
+## Usage
+
+```javascript
+var where = require( '@stdlib/ndarray/base/where' );
+```
+
+#### where( arrays )
+
+Applies a condition to elements in two input ndarrays and assigns results to elements in an output ndarray.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+
+// Create data buffers:
+var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+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 ] );
+var ybuf = 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 ] );
+var obuf = new Float64Array( 6 );
+
+// Define the shape of the input and output arrays:
+var shape = [ 3, 1, 2 ];
+
+// Define the array strides:
+var sc = [ 4, 4, 1 ];
+var sx = [ 4, 4, 1 ];
+var sy = [ 4, 4, 1 ];
+var so = [ 2, 2, 1 ];
+
+// Define the index offsets:
+var oc = 1;
+var ox = 1;
+var oy = 1;
+var oo = 0;
+
+// Create the input and output ndarrays:
+var condition = {
+    'dtype': 'uint8',
+    'data': cbuf,
+    'shape': shape,
+    'strides': sc,
+    'offset': oc,
+    'order': 'row-major'
+};
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': shape,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+var y = {
+    'dtype': 'float64',
+    'data': ybuf,
+    'shape': shape,
+    'strides': sy,
+    'offset': oy,
+    'order': 'row-major'
+};
+var out = {
+    'dtype': 'float64',
+    'data': obuf,
+    'shape': shape,
+    'strides': so,
+    'offset': oo,
+    'order': 'row-major'
+};
+
+// Apply the condition:
+where( [ condition, x, y, out ] );
+
+console.log( out.data );
+// => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+```
+
+The function accepts the following arguments:
+
+-   **arrays**: array-like object containing three input ndarrays and one output ndarray.
+
+Each 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 conditionally assigning elements in order to achieve better performance.
+
+</section>
+
+<!-- /.notes -->
+
 <section class="examples">
 
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var where = require( '@stdlib/ndarray/base/where' );
+
+var N = 10;
+var shape = [ 5, 2 ];
+var condition = {
+    'dtype': 'uint8',
+    'data': filledarrayBy( N, 'uint8', bernoulli( 0.5 ) ),
+    'shape': shape,
+    'strides': [ 2, 1 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+var x = {
+    'dtype': 'generic',
+    'data': filledarrayBy( N, 'generic', discreteUniform( 0, 100 ) ),
+    'shape': shape,
+    'strides': [ 2, 1 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+var y = {
+    'dtype': 'generic',
+    'data': filledarrayBy( N, 'generic', discreteUniform( -100, 0 ) ),
+    'shape': shape,
+    'strides': [ 2, 1 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+var out = {
+    'dtype': 'generic',
+    'data': filledarray( 0, N, 'generic' ),
+    'shape': shape.slice(),
+    'strides': shape2strides( shape, 'column-major' ),
+    'offset': 0,
+    'order': 'column-major'
+};
+
+where( [ condition, x, y, out ] );
+
+console.log( ndarray2array( condition.data, condition.shape, condition.strides, condition.offset, condition.order ) ); // eslint-disable-line max-len
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+console.log( ndarray2array( out.data, out.shape, out.strides, out.offset, out.order ) ); // eslint-disable-line max-len
+```
+
 </section>
 
 <!-- /.examples -->
 
-<!-- Section for related `stdlib` packages. -->
-
-* * *
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
 
 <section class="related">
 
-
 </section>
 
 <!-- /.related -->
 
-<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
-
 <section class="links">
 
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
 </section>
 
 <!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
index 277059844f1b..82d76a63dabb 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
@@ -30,6 +30,7 @@ var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var filledarray = require( '@stdlib/array/filled' );
 var filledarrayBy = require( '@stdlib/array/filled-by' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var where2d = require( './../lib/2d.js' );
 
@@ -48,22 +49,24 @@ var order = 'column-major';
 * @private
 * @param {PositiveInteger} len - ndarray length
 * @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - first input ndarray data type
-* @param {string} ytype - second input ndarray data type
+* @param {string} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
 * @returns {Function} benchmark function
 */
-function createBenchmark( len, shape, xtype, ytype ) {
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
 	var condition;
 	var out;
 	var x;
 	var y;
-	condition = filledarrayBy( len, 'uint8', bernoulli( 0.5 ) );
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
 	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
 	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
-	out = filledarray( 0.0, len, xtype );
+	out = filledarray( 0.0, len, otype );
 
 	condition = {
-		'dtype': 'uint8',
+		'dtype': ctype,
 		'data': condition,
 		'shape': shape,
 		'strides': shape2strides( shape, order ),
@@ -87,7 +90,7 @@ function createBenchmark( len, shape, xtype, ytype ) {
 		'order': order
 	};
 	out = {
-		'dtype': xtype,
+		'dtype': otype,
 		'data': out,
 		'shape': shape,
 		'strides': shape2strides( shape, order ),
@@ -136,6 +139,7 @@ function main() {
 	var sh;
 	var t1;
 	var t2;
+	var t3;
 	var f;
 	var i;
 	var j;
@@ -146,22 +150,23 @@ function main() {
 	for ( j = 0; j < types.length; j++ ) {
 		t1 = types[ j ];
 		t2 = types[ j ];
+		t3 = types[ j ];
 		for ( i = min; i <= max; i++ ) {
 			len = pow( 10, i );
 
 			sh = [ len/2, 2 ];
-			f = createBenchmark( len, sh, t1, t2 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
 
 			sh = [ 2, len/2 ];
-			f = createBenchmark( len, sh, t1, t2 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
 
 			len = floor( sqrt( len ) );
 			sh = [ len, len ];
 			len *= len;
-			f = createBenchmark( len, sh, t1, t2 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
 		}
 	}
 }
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
index cb5ff0c56e5d..fa3d581c4e0d 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
@@ -30,6 +30,7 @@ var sqrt = require( '@stdlib/math/base/special/sqrt' );
 var filledarray = require( '@stdlib/array/filled' );
 var filledarrayBy = require( '@stdlib/array/filled-by' );
 var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var where2d = require( './../lib/2d.js' );
 
@@ -37,7 +38,7 @@ var where2d = require( './../lib/2d.js' );
 // VARIABLES //
 
 var types = [ 'float64' ];
-var order = 'row-major';
+var order = 'column-major';
 
 
 // FUNCTIONS //
@@ -48,23 +49,24 @@ var order = 'row-major';
 * @private
 * @param {PositiveInteger} len - ndarray length
 * @param {NonNegativeIntegerArray} shape - ndarray shape
-* @param {string} xtype - first input ndarray data type
-* @param {string} ytype - second input ndarray data type
+* @param {string} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
 * @returns {Function} benchmark function
 */
-function createBenchmark( len, shape, xtype, ytype ) {
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
 	var condition;
 	var out;
 	var x;
 	var y;
-
-	condition = filledarrayBy( len, 'uint8', bernoulli( 0.5 ) );
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
 	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
 	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
-	out = filledarray( 0.0, len, xtype );
+	out = filledarray( 0.0, len, otype );
 
 	condition = {
-		'dtype': 'uint8',
+		'dtype': ctype,
 		'data': condition,
 		'shape': shape,
 		'strides': shape2strides( shape, order ),
@@ -88,7 +90,7 @@ function createBenchmark( len, shape, xtype, ytype ) {
 		'order': order
 	};
 	out = {
-		'dtype': xtype,
+		'dtype': otype,
 		'data': out,
 		'shape': shape,
 		'strides': shape2strides( shape, order ),
@@ -137,6 +139,7 @@ function main() {
 	var sh;
 	var t1;
 	var t2;
+	var t3;
 	var f;
 	var i;
 	var j;
@@ -147,22 +150,23 @@ function main() {
 	for ( j = 0; j < types.length; j++ ) {
 		t1 = types[ j ];
 		t2 = types[ j ];
+		t3 = types[ j ];
 		for ( i = min; i <= max; i++ ) {
 			len = pow( 10, i );
 
 			sh = [ len/2, 2 ];
-			f = createBenchmark( len, sh, t1, t2 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
 
 			sh = [ 2, len/2 ];
-			f = createBenchmark( len, sh, t1, t2 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
 
 			len = floor( sqrt( len ) );
 			sh = [ len, len ];
 			len *= len;
-			f = createBenchmark( len, sh, t1, t2 );
-			bench( pkg+':ndims='+sh.length+',len='+len+',shape=['+sh.join(',')+'],order='+order+',xtype='+t1+',ytype='+t2, f );
+			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
 		}
 	}
 }
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
new file mode 100644
index 000000000000..6ad4eed0821b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
@@ -0,0 +1,89 @@
+
+{{alias}}( arrays )
+    Applies a condition to elements in two input ndarrays
+    and assigns results to elements in an output ndarray.
+
+    Each 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).
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing three input ndarrays
+        and one output ndarray.
+
+    Examples
+    --------
+    // Define ndarray data and meta data...
+    > var cbuf = new {{alias:@stdlib/array/uint8}}( [ 1, 0, 0, 1 ] );
+    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+    > var ybuf = new {{alias:@stdlib/array/float64}}( [ -1.0, -2.0, -3.0, -4.0 ] );
+    > var obuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+    > var dtype = 'float64';
+    > var shape = [ 2, 2 ];
+    > var sc = [ 2, 1 ];
+    > var sx = [ 2, 1 ];
+    > var sy = [ 2, 1 ];
+    > var so = [ 2, 1 ];
+    > var oc = 0;
+    > var ox = 0;
+    > var oy = 0;
+    > var oo = 0;
+    > var order = 'row-major';
+
+    // Using ndarrays...
+    > var condition = {{alias:@stdlib/ndarray/ctor}}( 'uint8', cbuf, shape, sc, oc, order );
+    > var x = {{alias:@stdlib/ndarray/ctor}}( dtype, xbuf, shape, sx, ox, order );
+    > var y = {{alias:@stdlib/ndarray/ctor}}( dtype, ybuf, shape, sy, oy, order );
+    > var out = {{alias:@stdlib/ndarray/ctor}}( dtype, obuf, shape, so, oo, order );
+    > {{alias}}( [ condition, x, y, out ] );
+    > out.data
+    <Float64Array>[ 1.0, -2.0, -3.0, 4.0 ]
+
+    // Using minimal ndarray-like objects...
+    > condition = {
+    ...     'dtype': dtype,
+    ...     'data': cbuf,
+    ...     'shape': shape,
+    ...     'strides': sc,
+    ...     'offset': oc,
+    ...     'order': order
+    ... };
+    > x = {
+    ...     'dtype': dtype,
+    ...     'data': xbuf,
+    ...     'shape': shape,
+    ...     'strides': sx,
+    ...     'offset': ox,
+    ...     'order': order
+    ... };
+    > y = {
+    ...     'dtype': dtype,
+    ...     'data': ybuf,
+    ...     'shape': shape,
+    ...     'strides': sy,
+    ...     'offset': oy,
+    ...     'order': order
+    ... };
+    > out = {
+    ...     'dtype': dtype,
+    ...     'data': obuf,
+    ...     'shape': shape,
+    ...     'strides': so,
+    ...     'offset': oo,
+    ...     'order': order
+    ... };
+    > {{alias}}( [ condition, x, y, out ] );
+    > out.data
+    <Float64Array>[ 1.0, -2.0, -3.0, 4.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
new file mode 100644
index 000000000000..805cda7e9a7d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
@@ -0,0 +1,76 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { ArrayLike } from '@stdlib/types/array';
+import { ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Applies a condition to elements in two input ndarrays and assigns results to elements in an output ndarray.
+*
+* @param arrays - array-like object containing three input ndarrays and one output ndarray
+* @throws arrays must have the same number of dimensions
+* @throws arrays must have the same shape
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var Uint8Array = require( '@stdlib/array/uint8' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+*
+* // Create data buffers:
+* var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
+* 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 ] );
+* var ybuf = 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 ] );
+* var obuf = new Float64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sc = [ 4, 4, 1 ];
+* var sx = [ 4, 4, 1 ];
+* var sy = [ 4, 4, 1 ];
+* var so = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var oc = 1;
+* var ox = 1;
+* var oy = 1;
+* var oo = 0;
+*
+* // Create the input and output ndarrays:
+* var condition = ndarray( 'float64', cbuf, shape, sc, oc, 'row-major' );
+* var x = ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
+* var y = ndarray( 'float64', ybuf, shape, sy, oy, 'row-major' );
+* var out = ndarray( 'float64', obuf, shape, so, oo, 'row-major' );
+*
+* // Apply the condition:
+* where( [ condition, x, y, out ] );
+*
+* console.log( out.data );
+* // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+*/
+declare function where( arrays: ArrayLike<ndarray> ): void;
+
+
+// EXPORTS //
+
+export = where;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts
new file mode 100644
index 000000000000..5846660d5763
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts
@@ -0,0 +1,59 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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.
+*/
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import where = require( './index' );
+
+
+// TESTS //
+
+// The function returns `undefined`...
+{
+	const condition = zeros( [ 2, 2 ] );
+	const x = zeros( [ 2, 2 ] );
+	const y = zeros( [ 2, 2 ] );
+	const out = zeros( [ 2, 2 ] );
+	const arrays = [ condition, x, y, out ];
+
+	where( arrays ); // $ExpectType void
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array-like object containing ndarray-like objects...
+{
+	where( '5' ); // $ExpectError
+	where( 5 ); // $ExpectError
+	where( true ); // $ExpectError
+	where( false ); // $ExpectError
+	where( null ); // $ExpectError
+	where( undefined ); // $ExpectError
+	where( {} ); // $ExpectError
+	where( [ 1 ] ); // $ExpectError
+	where( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const condition = zeros( [ 2, 2 ] );
+	const x = zeros( [ 2, 2 ] );
+	const y = zeros( [ 2, 2 ] );
+	const out = zeros( [ 2, 2 ] );
+	const arrays = [ condition, x, y, out ];
+
+	where(); // $ExpectError
+	where( arrays, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/where/examples/index.js
new file mode 100644
index 000000000000..6273a8599825
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/examples/index.js
@@ -0,0 +1,68 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var where = require( './../lib' );
+
+var N = 10;
+var shape = [ 5, 2 ];
+var condition = {
+	'dtype': 'uint8',
+	'data': filledarrayBy( N, 'uint8', bernoulli( 0.5 ) ),
+	'shape': shape,
+	'strides': [ 2, 1 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+var x = {
+	'dtype': 'generic',
+	'data': filledarrayBy( N, 'generic', discreteUniform( 0, 100 ) ),
+	'shape': shape,
+	'strides': [ 2, 1 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+var y = {
+	'dtype': 'generic',
+	'data': filledarrayBy( N, 'generic', discreteUniform( -100, 0 ) ),
+	'shape': shape,
+	'strides': [ 2, 1 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+var out = {
+	'dtype': 'generic',
+	'data': filledarray( 0, N, 'generic' ),
+	'shape': shape.slice(),
+	'strides': shape2strides( shape, 'column-major' ),
+	'offset': 0,
+	'order': 'column-major'
+};
+
+where( [ condition, x, y, out ] );
+console.log( ndarray2array( condition.data, condition.shape, condition.strides, condition.offset, condition.order ) ); // eslint-disable-line max-len
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+console.log( ndarray2array( out.data, out.shape, out.strides, out.offset, out.order ) ); // eslint-disable-line max-len
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/package.json b/lib/node_modules/@stdlib/ndarray/base/where/package.json
index 1e1b24a090b2..68798c41732d 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/package.json
+++ b/lib/node_modules/@stdlib/ndarray/base/where/package.json
@@ -16,6 +16,8 @@
   "main": "./lib",
   "directories": {
     "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
     "lib": "./lib",
     "test": "./test"
   },

From 8fb5a0bb30dad900463ca6ac295a2548e4d7ee14 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Mon, 16 Mar 2026 03:16:39 +0200
Subject: [PATCH 24/33] test: add up to 3d tests and benchmarks

---
 .../benchmark/benchmark.11d_columnmajor.js    |  178 ++
 .../where/benchmark/benchmark.11d_rowmajor.js |  178 ++
 .../benchmark/benchmark.1d_columnmajor.js     |  171 ++
 .../where/benchmark/benchmark.1d_rowmajor.js  |  171 ++
 .../benchmark.2d_blocked_columnmajor.js       |  181 ++
 .../benchmark.2d_blocked_rowmajor.js          |  181 ++
 .../benchmark/benchmark.2d_columnmajor.js     |   47 +-
 .../where/benchmark/benchmark.2d_rowmajor.js  |   49 +-
 .../benchmark.2d_rowmajor_accessors.js        |  214 ++
 ...benchmark.2d_rowmajor_accessors_complex.js |  230 +++
 .../benchmark.3d_blocked_columnmajor.js       |  179 ++
 .../benchmark.3d_blocked_rowmajor.js          |  179 ++
 .../benchmark/benchmark.3d_columnmajor.js     |  179 ++
 .../where/benchmark/benchmark.3d_rowmajor.js  |  181 ++
 .../ndarray/base/where/test/test.3d.js        | 1717 +++++++++++++++++
 15 files changed, 3994 insertions(+), 41 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js
new file mode 100644
index 000000000000..d2a92d123d66
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js
@@ -0,0 +1,178 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var x;
+	var y;
+	var out;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js
new file mode 100644
index 000000000000..ff7058ec332e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js
@@ -0,0 +1,178 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var x;
+	var y;
+	var out;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js
new file mode 100644
index 000000000000..fbe8418a21ee
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js
@@ -0,0 +1,171 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where1d = require( './../lib/1d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where1d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js
new file mode 100644
index 000000000000..7362564b621d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js
@@ -0,0 +1,171 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where1d = require( './../lib/1d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where1d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js
new file mode 100644
index 000000000000..3552265d8895
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js
new file mode 100644
index 000000000000..9fab1fd2b9c1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
index 82d76a63dabb..a011c253cdc6 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
@@ -37,6 +37,7 @@ var where2d = require( './../lib/2d.js' );
 
 // VARIABLES //
 
+var conditionTypes = [ 'uint8' ];
 var types = [ 'float64' ];
 var order = 'column-major';
 
@@ -60,6 +61,7 @@ function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
 	var out;
 	var x;
 	var y;
+
 	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
 	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
 	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
@@ -140,33 +142,38 @@ function main() {
 	var t1;
 	var t2;
 	var t3;
+	var tc;
 	var f;
 	var i;
 	var j;
+	var k;
 
 	min = 1; // 10^min
 	max = 6; // 10^max
 
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		t2 = types[ j ];
-		t3 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			sh = [ 2, len/2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			len = floor( sqrt( len ) );
-			sh = [ len, len ];
-			len *= len;
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
 		}
 	}
 }
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
index fa3d581c4e0d..4f545e2c3b07 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
@@ -37,8 +37,9 @@ var where2d = require( './../lib/2d.js' );
 
 // VARIABLES //
 
+var conditionTypes = [ 'uint8' ];
 var types = [ 'float64' ];
-var order = 'column-major';
+var order = 'row-major';
 
 
 // FUNCTIONS //
@@ -60,6 +61,7 @@ function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
 	var out;
 	var x;
 	var y;
+
 	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
 	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
 	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
@@ -140,33 +142,38 @@ function main() {
 	var t1;
 	var t2;
 	var t3;
+	var tc;
 	var f;
 	var i;
 	var j;
+	var k;
 
 	min = 1; // 10^min
 	max = 6; // 10^max
 
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		t2 = types[ j ];
-		t3 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			sh = [ 2, len/2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			len = floor( sqrt( len ) );
-			sh = [ len, len ];
-			len *= len;
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
 		}
 	}
 }
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js
new file mode 100644
index 000000000000..8c3a41da3b3a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js
@@ -0,0 +1,214 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_accessors.js' );
+
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+var types = [ 'float64' ];
+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[ 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[ idx ] = value;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'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 i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out, true );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
new file mode 100644
index 000000000000..6010c4d5fc00
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
@@ -0,0 +1,230 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var ctors = require( '@stdlib/array/ctors' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_accessors.js' );
+
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'bool' ];
+var types = [ 'complex64' ];
+var order = 'row-major';
+var abtype = {
+	'complex64': 'float32',
+	'complex128': 'float64'
+};
+
+
+// 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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var cstrides;
+	var cshape;
+	var stride;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) );
+	ybuf = filledarrayBy( len*2, abtype[ ytype ], discreteUniform( -100, 100 ) );
+	obuf = filledarray( 0.0, len*2, abtype[ otype ] );
+
+	stride = shape2strides( shape, order );
+	// broadcast extra dimension along last axis for the condition array for complex compatibility.
+	cshape = [ ...shape, 2 ];
+	cstrides = [ ...stride, 0 ];
+	condition = {
+		'dtype': ctype,
+		'data': new ( ctors( ctype ) )( cbuf.buffer ),
+		'shape': cshape,
+		'strides': cstrides,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	x = {
+		'dtype': xtype,
+		'data': new ( ctors( xtype ) )( xbuf.buffer ),
+		'shape': shape,
+		'strides': stride,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	y = {
+		'dtype': ytype,
+		'data': new ( ctors( ytype ) )( ybuf.buffer ),
+		'shape': shape,
+		'strides': stride,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	out = {
+		'dtype': otype,
+		'data': new ( ctors( otype ) )( obuf.buffer ),
+		'shape': shape,
+		'strides': stride,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out, true );
+			if ( isnan( obuf[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( obuf[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 5; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js
new file mode 100644
index 000000000000..f43928635451
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js
@@ -0,0 +1,179 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var x;
+	var y;
+	var out;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js
new file mode 100644
index 000000000000..a93128bdfc9f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js
@@ -0,0 +1,179 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var x;
+	var y;
+	var out;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js
new file mode 100644
index 000000000000..8dfa96c2f84d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js
@@ -0,0 +1,179 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var x;
+	var y;
+	var out;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out, false );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js
new file mode 100644
index 000000000000..649aab583d9d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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 - first input ndarray data type
+* @param {string} ytype - second input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var x;
+	var y;
+	var out;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+
+		b.tic();
+		console.log(b.iterations);
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out, true );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+				console.log("Finished first benchmark");
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
new file mode 100644
index 000000000000..4309f8f56b0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
@@ -0,0 +1,1717 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var isSameAccessorArray = require( '@stdlib/assert/is-same-accessor-array' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var zeros = require( '@stdlib/array/zeros' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var dfill = require( '@stdlib/blas/ext/base/dfill' );
+var gfill = require( '@stdlib/blas/ext/base/gfill' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var where = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof where, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, singleton dimensions)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray('uint8', cbuf, sh, st, o, ord);
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( x.data, out.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, empty)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+	x = ndarray( 'float64', xbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+	y = ndarray( 'float64', ybuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+	out = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous, negative strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -2, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ bsize*4, 2, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 2 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ bsize*4, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 2 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -2, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ bsize*4, 2, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ bsize*4, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, singleton dimensions)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 4 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, singleton dimensions, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, empty)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+	x = ndarray( 'float64', xbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+	y = ndarray( 'float64', ybuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+	out = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous, negative strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -1, -1, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, 2, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ -2, 4, bsize*8 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	dfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ -2, 4, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -1, -1, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, 2, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ -2, 4, bsize*8 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ -2, 4, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});

From e5a8f91cad0f19d3c0d44ad4f714130d2c29e8e4 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Mon, 16 Mar 2026 03:16:39 +0200
Subject: [PATCH 25/33] test: add up to 3d tests and benchmarks

---
 .../benchmark/benchmark.11d_columnmajor.js    |  180 ++
 .../where/benchmark/benchmark.11d_rowmajor.js |  180 ++
 .../benchmark/benchmark.1d_columnmajor.js     |  169 ++
 .../where/benchmark/benchmark.1d_rowmajor.js  |  169 ++
 .../benchmark.2d_blocked_columnmajor.js       |  181 ++
 .../benchmark.2d_blocked_rowmajor.js          |  181 ++
 .../benchmark/benchmark.2d_columnmajor.js     |   47 +-
 .../where/benchmark/benchmark.2d_rowmajor.js  |   49 +-
 .../benchmark.2d_rowmajor_accessors.js        |  213 ++
 ...benchmark.2d_rowmajor_accessors_complex.js |  231 +++
 .../benchmark.3d_blocked_columnmajor.js       |  181 ++
 .../benchmark.3d_blocked_rowmajor.js          |  181 ++
 .../benchmark/benchmark.3d_columnmajor.js     |  181 ++
 .../where/benchmark/benchmark.3d_rowmajor.js  |  182 ++
 .../ndarray/base/where/test/test.3d.js        | 1717 +++++++++++++++++
 15 files changed, 4001 insertions(+), 41 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js
new file mode 100644
index 000000000000..ad1bec8e5c92
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_columnmajor.js
@@ -0,0 +1,180 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js
new file mode 100644
index 000000000000..5a98f02cea17
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.11d_rowmajor.js
@@ -0,0 +1,180 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), 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, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js
new file mode 100644
index 000000000000..d18a02e61962
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_columnmajor.js
@@ -0,0 +1,169 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where1d = require( './../lib/1d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where1d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js
new file mode 100644
index 000000000000..f422d792785c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.1d_rowmajor.js
@@ -0,0 +1,169 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where1d = require( './../lib/1d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where1d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js
new file mode 100644
index 000000000000..3552265d8895
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_columnmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js
new file mode 100644
index 000000000000..9fab1fd2b9c1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_blocked_rowmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
index 82d76a63dabb..a011c253cdc6 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_columnmajor.js
@@ -37,6 +37,7 @@ var where2d = require( './../lib/2d.js' );
 
 // VARIABLES //
 
+var conditionTypes = [ 'uint8' ];
 var types = [ 'float64' ];
 var order = 'column-major';
 
@@ -60,6 +61,7 @@ function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
 	var out;
 	var x;
 	var y;
+
 	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
 	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
 	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
@@ -140,33 +142,38 @@ function main() {
 	var t1;
 	var t2;
 	var t3;
+	var tc;
 	var f;
 	var i;
 	var j;
+	var k;
 
 	min = 1; // 10^min
 	max = 6; // 10^max
 
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		t2 = types[ j ];
-		t3 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			sh = [ 2, len/2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			len = floor( sqrt( len ) );
-			sh = [ len, len ];
-			len *= len;
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
 		}
 	}
 }
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
index fa3d581c4e0d..4f545e2c3b07 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor.js
@@ -37,8 +37,9 @@ var where2d = require( './../lib/2d.js' );
 
 // VARIABLES //
 
+var conditionTypes = [ 'uint8' ];
 var types = [ 'float64' ];
-var order = 'column-major';
+var order = 'row-major';
 
 
 // FUNCTIONS //
@@ -60,6 +61,7 @@ function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
 	var out;
 	var x;
 	var y;
+
 	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
 	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
 	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
@@ -140,33 +142,38 @@ function main() {
 	var t1;
 	var t2;
 	var t3;
+	var tc;
 	var f;
 	var i;
 	var j;
+	var k;
 
 	min = 1; // 10^min
 	max = 6; // 10^max
 
-	for ( j = 0; j < types.length; j++ ) {
-		t1 = types[ j ];
-		t2 = types[ j ];
-		t3 = types[ j ];
-		for ( i = min; i <= max; i++ ) {
-			len = pow( 10, i );
-
-			sh = [ len/2, 2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			sh = [ 2, len/2 ];
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
-
-			len = floor( sqrt( len ) );
-			sh = [ len, len ];
-			len *= len;
-			f = createBenchmark( len, sh, 'uint8', t1, t2, t3 );
-			bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, 'uint8', t1, t2, t3 ), f );
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
 		}
 	}
 }
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js
new file mode 100644
index 000000000000..1e61c3c94fcf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors.js
@@ -0,0 +1,213 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_accessors.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+var types = [ 'float64' ];
+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[ 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[ idx ] = value;
+}
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'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 i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out, true );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
new file mode 100644
index 000000000000..65e43c83d066
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
@@ -0,0 +1,231 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var ctors = require( '@stdlib/array/ctors' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where2d = require( './../lib/2d_accessors.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'bool' ];
+var types = [ 'complex64' ];
+var order = 'row-major';
+var abtype = {
+	'complex64': 'float32',
+	'complex128': 'float64'
+};
+
+
+// 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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - fourth input ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var cstrides;
+	var cshape;
+	var stride;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) );
+	ybuf = filledarrayBy( len*2, abtype[ ytype ], discreteUniform( -100, 100 ) );
+	obuf = filledarray( 0.0, len*2, abtype[ otype ] );
+
+	// broadcast extra dimension along last axis for the condition array for complex compatibility.
+	stride = shape2strides( shape, order );
+	cshape = shape.slice();
+	cshape.push( 1 );
+	cstrides = stride.slice();
+	cstrides.push( 0 );
+	condition = {
+		'dtype': ctype,
+		'data': new ( ctors( ctype ) )( cbuf.buffer ),
+		'shape': cshape,
+		'strides': cstrides,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	x = {
+		'dtype': xtype,
+		'data': new ( ctors( xtype ) )( xbuf.buffer ),
+		'shape': shape,
+		'strides': stride,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	y = {
+		'dtype': ytype,
+		'data': new ( ctors( ytype ) )( ybuf.buffer ),
+		'shape': shape,
+		'strides': stride,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	out = {
+		'dtype': otype,
+		'data': new ( ctors( otype ) )( obuf.buffer ),
+		'shape': shape,
+		'strides': stride,
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where2d( condition, x, y, out, true );
+			if ( isnan( obuf[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( obuf[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 5; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js
new file mode 100644
index 000000000000..dcbb0c62979a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_columnmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js
new file mode 100644
index 000000000000..3707105c1454
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_blocked_rowmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js
new file mode 100644
index 000000000000..9a36839bd9e3
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_columnmajor.js
@@ -0,0 +1,181 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out, false );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js
new file mode 100644
index 000000000000..0c927ad70e68
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.3d_rowmajor.js
@@ -0,0 +1,182 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
+var bernoulli = require( '@stdlib/random/base/bernoulli' ).factory;
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var filledarrayBy = require( '@stdlib/array/filled-by' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var where3d = require( './../lib/3d.js' );
+
+
+// VARIABLES //
+
+var conditionTypes = [ 'uint8' ];
+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} ctype - first input ndarray data type
+* @param {string} xtype - second input ndarray data type
+* @param {string} ytype - third input ndarray data type
+* @param {string} otype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
+	var condition;
+	var out;
+	var x;
+	var y;
+
+	condition = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
+	x = filledarrayBy( len, xtype, discreteUniform( -100, 100 ) );
+	y = filledarrayBy( len, ytype, discreteUniform( -100, 100 ) );
+	out = filledarray( 0.0, len, otype );
+
+	condition = {
+		'dtype': ctype,
+		'data': condition,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	x = {
+		'dtype': xtype,
+		'data': x,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	out = {
+		'dtype': otype,
+		'data': out,
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		console.log(b.iterations);
+		for ( i = 0; i < b.iterations; i++ ) {
+			where3d( condition, x, y, out, true );
+			if ( isnan( out.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( out.data[ i%len ] ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var sh;
+	var t1;
+	var t2;
+	var t3;
+	var tc;
+	var f;
+	var i;
+	var j;
+	var k;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( k = 0; k < types.length; k++ ) {
+		t1 = types[ k ];
+		t2 = types[ k ];
+		t3 = types[ k ];
+		for ( j = 0; j < conditionTypes.length; j++ ) {
+			tc = conditionTypes[ j ];
+			for ( i = min; i <= max; i++ ) {
+				len = pow( 10, i );
+
+				sh = [ len/2, 2, 1 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				sh = [ 1, 2, len/2 ];
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+
+				len = floor( sqrt( len ) );
+				sh = [ len, len, len ];
+				len *= len;
+				f = createBenchmark( len, sh, tc, t1, t2, t3 );
+				bench( format( '%s:ndims=%d,len=%d,shape=[%s],order=%s,ctype=%s,xtype=%s,ytype=%s,otype=%s', pkg, sh.length, len, sh.join( ',' ), order, tc, t1, t2, t3 ), f );
+			}
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
new file mode 100644
index 000000000000..4309f8f56b0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
@@ -0,0 +1,1717 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var isSameAccessorArray = require( '@stdlib/assert/is-same-accessor-array' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
+var zeros = require( '@stdlib/array/zeros' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var strides2offset = require( '@stdlib/ndarray/base/strides2offset' );
+var numel = require( '@stdlib/ndarray/base/numel' );
+var dfill = require( '@stdlib/blas/ext/base/dfill' );
+var gfill = require( '@stdlib/blas/ext/base/gfill' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var where = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof where, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, singleton dimensions)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray('uint8', cbuf, sh, st, o, ord);
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( x.data, out.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, empty)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+	x = ndarray( 'float64', xbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+	y = ndarray( 'float64', ybuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+	out = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous, negative strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -2, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ bsize*4, 2, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 2 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ bsize*4, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 2 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -2, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 4, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ bsize*4, 2, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'row-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ bsize*4, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), 1.0, xbuf, st[ 2 ] );
+	ybuf = zeros( numel( sh )*2, 'generic' );
+	gfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
+	obuf = zeros( numel( sh )*2, 'generic' );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, singleton dimensions)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 4 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, singleton dimensions, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, empty)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var x;
+	var y;
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+	x = ndarray( 'float64', xbuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+	y = ndarray( 'float64', ybuf, [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+	out = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous, negative strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -1, -1, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	]);
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		3.0,
+		4.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, 2, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var condition;
+	var expected;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array([
+		1,
+		0,
+		1,
+		1,
+		0,
+		1,
+		0,
+		0
+	]);
+	xbuf = new Float64Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	ybuf = new Float64Array([
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	]);
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		4.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ -2, 4, bsize*8 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	dfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var condition;
+	var expected;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ -2, 4, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = new Uint8Array( numel( sh )*2 ); // zeros condition array
+	xbuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = new Float64Array( numel( sh )*2 );
+	dfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, xbuf, sh, st, o, ord );
+	y = ndarray( dt, ybuf, sh, st, o, ord );
+	out = ndarray( dt, obuf, sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, -1.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( out.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -1, -1, -2 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		3.0,
+		4.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		-3.0,
+		-4.0
+	];
+
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, 2, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var condition;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = [
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1,
+		1
+	];
+	xbuf = [
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		3.0,
+		4.0,
+		0.0,
+		0.0
+	];
+	ybuf = [
+		-1.0,
+		-2.0,
+		0.0,
+		0.0,
+		-3.0,
+		-4.0,
+		0.0,
+		0.0
+	];
+	obuf = zeros( 8, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, x.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ -2, 4, bsize*8 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function conditionally assigns elements from a 3-dimensional input ndarray to an output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var condition;
+	var bsize;
+	var cbuf;
+	var xbuf;
+	var ybuf;
+	var obuf;
+	var out;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var x;
+	var y;
+
+	dt = 'generic';
+	ord = 'column-major';
+
+	bsize = blockSize( 'generic' );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ -2, 4, 4 ];
+	o = strides2offset( sh, st );
+
+	cbuf = zeros( numel( sh )*2, 'uint8' ); // zeros condition array
+	xbuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), 1.0, xbuf, st[ 0 ] );
+	ybuf = zeros( numel( sh )*2, dt );
+	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
+	obuf = zeros( numel( sh )*2, dt );
+
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
+	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
+
+	where( [ condition, x, y, out ] );
+
+	t.strictEqual( isSameAccessorArray( out.data, y.data ), true, 'returns expected value' );
+
+	t.end();
+});

From 559c59c366c48cbdd2727750d04a684ac89976de Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Tue, 17 Mar 2026 00:43:58 +0200
Subject: [PATCH 26/33] docs: update ndarray/base README.md

---
 lib/node_modules/@stdlib/ndarray/base/README.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index cff48beea53c..da7efa4ca4aa 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -214,6 +214,7 @@ var o = ns;
 -   <span class="signature">[`unary( arrays, fcn )`][@stdlib/ndarray/base/unary]</span><span class="delimiter">: </span><span class="description">apply a unary callback to elements in an input ndarray and assign results to elements in an output ndarray.</span>
 -   <span class="signature">[`unflattenShape( shape, dim, sizes )`][@stdlib/ndarray/base/unflatten-shape]</span><span class="delimiter">: </span><span class="description">expand a dimension over multiple dimensions.</span>
 -   <span class="signature">[`vind2bind( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/vind2bind]</span><span class="delimiter">: </span><span class="description">convert a linear index in an array view to a linear index in an underlying data buffer.</span>
+-   <span class="signature">[`where( arrays )`][@stdlib/ndarray/base/where]</span><span class="delimiter">: </span><span class="description">Applies a condition to elements in two input ndarrays and assigns results to elements in an output ndarray.</span>
 -   <span class="signature">[`wrapIndex( idx, max )`][@stdlib/ndarray/base/wrap-index]</span><span class="delimiter">: </span><span class="description">wrap an index on the interval `[0,max]`.</span>
 -   <span class="signature">[`zerosLike( x )`][@stdlib/ndarray/base/zeros-like]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`zeros( dtype, shape, order )`][@stdlib/ndarray/base/zeros]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having a specified shape and data type.</span>
@@ -616,6 +617,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/vind2bind]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/vind2bind
 
+[@stdlib/ndarray/base/where]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/where
+
 [@stdlib/ndarray/base/wrap-index]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/wrap-index
 
 [@stdlib/ndarray/base/zeros-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/zeros-like

From 1205cdcf4ea928f0c71f6b25021d2d2363e7924b Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Tue, 17 Mar 2026 01:35:58 +0200
Subject: [PATCH 27/33] refactor: remove lint warnings

---
 lib/node_modules/@stdlib/ndarray/base/README.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index da7efa4ca4aa..cff48beea53c 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -214,7 +214,6 @@ var o = ns;
 -   <span class="signature">[`unary( arrays, fcn )`][@stdlib/ndarray/base/unary]</span><span class="delimiter">: </span><span class="description">apply a unary callback to elements in an input ndarray and assign results to elements in an output ndarray.</span>
 -   <span class="signature">[`unflattenShape( shape, dim, sizes )`][@stdlib/ndarray/base/unflatten-shape]</span><span class="delimiter">: </span><span class="description">expand a dimension over multiple dimensions.</span>
 -   <span class="signature">[`vind2bind( shape, strides, offset, order, idx, mode )`][@stdlib/ndarray/base/vind2bind]</span><span class="delimiter">: </span><span class="description">convert a linear index in an array view to a linear index in an underlying data buffer.</span>
--   <span class="signature">[`where( arrays )`][@stdlib/ndarray/base/where]</span><span class="delimiter">: </span><span class="description">Applies a condition to elements in two input ndarrays and assigns results to elements in an output ndarray.</span>
 -   <span class="signature">[`wrapIndex( idx, max )`][@stdlib/ndarray/base/wrap-index]</span><span class="delimiter">: </span><span class="description">wrap an index on the interval `[0,max]`.</span>
 -   <span class="signature">[`zerosLike( x )`][@stdlib/ndarray/base/zeros-like]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`zeros( dtype, shape, order )`][@stdlib/ndarray/base/zeros]</span><span class="delimiter">: </span><span class="description">create a zero-filled ndarray having a specified shape and data type.</span>
@@ -617,8 +616,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/vind2bind]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/vind2bind
 
-[@stdlib/ndarray/base/where]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/where
-
 [@stdlib/ndarray/base/wrap-index]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/wrap-index
 
 [@stdlib/ndarray/base/zeros-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/zeros-like

From 3735e430a1cb75e49be96a296bde8eb3377120c7 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Tue, 17 Mar 2026 19:47:03 +0200
Subject: [PATCH 28/33] refactor: apply the requested changes

---
 .../@stdlib/ndarray/base/where/README.md      | 13 ++++---
 .../ndarray/base/where/examples/index.js      |  9 +++--
 .../@stdlib/ndarray/base/where/lib/main.js    | 36 +++++++++++++------
 3 files changed, 39 insertions(+), 19 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/README.md b/lib/node_modules/@stdlib/ndarray/base/where/README.md
index eefdd4018093..0478f18ced03 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/where/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # Where
 
-> Applies a condition to elements in two input ndarrays and assigns results to elements in an output ndarray.
+> Apply a condition to elements in two input ndarrays and assign results to elements in an output ndarray.
 
 <section class="intro">
 
@@ -160,6 +160,8 @@ var condition = {
     'offset': 0,
     'order': 'row-major'
 };
+console.log( ndarray2array( condition.data, condition.shape, condition.strides, condition.offset, condition.order ) ); // eslint-disable-line max-len
+
 var x = {
     'dtype': 'generic',
     'data': filledarrayBy( N, 'generic', discreteUniform( 0, 100 ) ),
@@ -168,6 +170,8 @@ var x = {
     'offset': 0,
     'order': 'row-major'
 };
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+
 var y = {
     'dtype': 'generic',
     'data': filledarrayBy( N, 'generic', discreteUniform( -100, 0 ) ),
@@ -176,6 +180,8 @@ var y = {
     'offset': 0,
     'order': 'row-major'
 };
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+
 var out = {
     'dtype': 'generic',
     'data': filledarray( 0, N, 'generic' ),
@@ -186,11 +192,8 @@ var out = {
 };
 
 where( [ condition, x, y, out ] );
-
-console.log( ndarray2array( condition.data, condition.shape, condition.strides, condition.offset, condition.order ) ); // eslint-disable-line max-len
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
-console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
 console.log( ndarray2array( out.data, out.shape, out.strides, out.offset, out.order ) ); // eslint-disable-line max-len
+
 ```
 
 </section>
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/where/examples/index.js
index 6273a8599825..29d4d9cad23b 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/examples/index.js
@@ -36,6 +36,8 @@ var condition = {
 	'offset': 0,
 	'order': 'row-major'
 };
+console.log( ndarray2array( condition.data, condition.shape, condition.strides, condition.offset, condition.order ) ); // eslint-disable-line max-len
+
 var x = {
 	'dtype': 'generic',
 	'data': filledarrayBy( N, 'generic', discreteUniform( 0, 100 ) ),
@@ -44,6 +46,8 @@ var x = {
 	'offset': 0,
 	'order': 'row-major'
 };
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+
 var y = {
 	'dtype': 'generic',
 	'data': filledarrayBy( N, 'generic', discreteUniform( -100, 0 ) ),
@@ -52,6 +56,8 @@ var y = {
 	'offset': 0,
 	'order': 'row-major'
 };
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+
 var out = {
 	'dtype': 'generic',
 	'data': filledarray( 0, N, 'generic' ),
@@ -62,7 +68,4 @@ var out = {
 };
 
 where( [ condition, x, y, out ] );
-console.log( ndarray2array( condition.data, condition.shape, condition.strides, condition.offset, condition.order ) ); // eslint-disable-line max-len
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
-console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
 console.log( ndarray2array( out.data, out.shape, out.strides, out.offset, out.order ) ); // eslint-disable-line max-len
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
index 4f6555039ae1..2db3e3d9b1db 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -27,6 +27,7 @@ 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 strides2order = require( '@stdlib/ndarray/base/strides2order' );
+var anyIsEntryIn = require( '@stdlib/array/base/any-is-entry-in' );
 var castReturn = require( '@stdlib/complex/base/cast-return' );
 var complexCtors = require( '@stdlib/complex/ctors' );
 var minmaxViewBufferIndex = require( '@stdlib/ndarray/base/minmax-view-buffer-index' );
@@ -128,7 +129,7 @@ var BLOCKED_ACCESSOR_WHERE = [
 	blockedaccessorwhere9d,
 	blockedaccessorwhere10d // 8
 ];
-var MAX_DIMS = where.length - 1;
+var MAX_DIMS = WHERE.length - 1;
 
 // TODO: consider adding a package utility for mapping a complex dtype to its complementary real-valued counterpart
 var COMPLEX_TO_REAL = { // WARNING: this table needs to be manually updated if we add support for additional complex number dtypes
@@ -140,6 +141,19 @@ var COMPLEX_TO_REAL = { // WARNING: this table needs to be manually updated if w
 
 // FUNCTIONS //
 
+/**
+* Returns a boolean indicating if at least one ndarray data buffer implements the accessor protocol.
+*
+* @private
+* @param {ndarrayLike} x - first ndarray
+* @param {ndarrayLike} y - second ndarray
+* @param {ndarrayLike} z - third ndarray
+* @returns {boolean} boolean indicating whether an ndarray data buffer implements the accessor protocol
+*/
+function hasAccessors( x, y, z ) {
+	return anyIsEntryIn( [ x, y, z ], 'accessorProtocol', true );
+}
+
 /**
 * Converts a boolean ndarray to an 8-bit unsigned integer ndarray.
 *
@@ -206,7 +220,7 @@ function complex2real( x ) {
 *     -   **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 once condition array, two input arrays, and one output array
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing one condition array, two input arrays, and one output array
 * @throws {Error} arrays must have the same number of dimensions
 * @throws {Error} arrays must have the same shape
 * @returns {void}
@@ -315,8 +329,8 @@ function where( arrays ) {
 	o = ndarray2object( arrays[ 3 ] );
 
 	// Always reinterpret condition array to uint8
-	if ( isBooleanArray(c.data) ) {
-		c = boolean2uint8(c);
+	if ( isBooleanArray( c.data ) ) {
+		c = boolean2uint8( c );
 	}
 
 	// Check for known array types which can be reinterpreted for better iteration performance...
@@ -349,7 +363,7 @@ function where( arrays ) {
 	}
 	// Determine whether we can avoid iteration altogether...
 	if ( ndims === 0 ) {
-		if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+		if ( hasAccessors( x, y, o ) ) {
 			return ACCESSOR_WHERE[ ndims ]( c, x, y, o );
 		}
 		return WHERE[ ndims ]( c, x, y, o );
@@ -376,7 +390,7 @@ function where( arrays ) {
 	}
 	// Determine whether the ndarrays are one-dimensional and thus readily translate to one-dimensional strided arrays...
 	if ( ndims === 1 ) {
-		if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+		if ( hasAccessors( x, y, o ) ) {
 			return ACCESSOR_WHERE[ ndims ]( c, x, y, o );
 		}
 		return WHERE[ ndims ]( c, x, y, o );
@@ -402,7 +416,7 @@ function where( arrays ) {
 		x.strides = [ sx[i] ];
 		y.strides = [ sy[i] ];
 		o.strides = [ so[i] ];
-		if ( x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+		if ( hasAccessors( x, y, o ) ) {
 			return ACCESSOR_WHERE[ 1 ]( c, x, y, o );
 		}
 		return WHERE[ 1 ]( c, x, y, o );
@@ -456,7 +470,7 @@ function where( arrays ) {
 			x.offset = ox;
 			y.offset = oy;
 			o.offset = oo;
-			if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+			if ( hasAccessors( x, y, o ) ) {
 				return ACCESSOR_WHERE[ 1 ]( c, x, y, o );
 			}
 			return WHERE[ 1 ]( c, x, y, o );
@@ -466,7 +480,7 @@ function where( arrays ) {
 		// Determine whether we can use simple nested loops...
 		if ( ndims <= MAX_DIMS ) {
 			// So long as iteration for each respective array 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 ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+			if ( hasAccessors( x, y, o ) ) {
 				return ACCESSOR_WHERE[ ndims ]( c, x, y, o, ord === 1 );
 			}
 			return WHERE[ ndims ]( c, x, y, o, ord === 1 );
@@ -477,13 +491,13 @@ function where( arrays ) {
 
 	// Determine whether we can perform blocked iteration...
 	if ( ndims <= MAX_DIMS ) {
-		if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+		if ( hasAccessors( x, y, o ) ) {
 			return BLOCKED_ACCESSOR_WHERE[ ndims-2 ]( c, x, y, o );
 		}
 		return BLOCKED_WHERE[ ndims-2 ]( c, x, y, o );
 	}
 	// Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)...
-	if ( c.accessorProtocol || x.accessorProtocol || y.accessorProtocol || o.accessorProtocol ) {
+	if ( hasAccessors( x, y, o ) ) {
 		return accessorwherend( c, x, y, o );
 	}
 	wherend( c, x, y, o );

From 72309133d2f0a10cf6a7e6fc02caf5596970e97c Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 18 Mar 2026 01:07:34 +0200
Subject: [PATCH 29/33] refactor: refactor main.js logic and edge cases
 handling

---
 .../@stdlib/ndarray/base/where/README.md      |  4 ++
 .../@stdlib/ndarray/base/where/docs/repl.txt  |  2 +-
 .../ndarray/base/where/docs/types/index.d.ts  |  4 +-
 .../ndarray/base/where/docs/types/test.ts     |  4 +-
 .../ndarray/base/where/lib/0d_accessors.js    |  2 +-
 .../@stdlib/ndarray/base/where/lib/main.js    | 25 +++++---
 .../ndarray/base/where/test/test.1d.js        |  2 +-
 .../@stdlib/ndarray/base/where/test/test.js   | 61 +++++++++++++++++++
 8 files changed, 92 insertions(+), 12 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/README.md b/lib/node_modules/@stdlib/ndarray/base/where/README.md
index 0478f18ced03..f66f36aa72e8 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/where/README.md
@@ -129,6 +129,10 @@ Each provided ndarray should be an object with the following properties:
 
 ## Notes
 
+-   `condition` ndarray must be a `boolean` or `uint8` ndarray.
+-   `condition`, `x`, `y`, and `out` ndarrays must have the same shape.
+-   `x` and `y` must have the same data type.
+-   The function **mutates** the input ndarrays shapes and strides if necessary.
 -   For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before conditionally assigning elements in order to achieve better performance.
 
 </section>
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
index 6ad4eed0821b..76ca5f5c4589 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
@@ -49,7 +49,7 @@
 
     // Using minimal ndarray-like objects...
     > condition = {
-    ...     'dtype': dtype,
+    ...     'dtype': 'uint8',
     ...     'data': cbuf,
     ...     'shape': shape,
     ...     'strides': sc,
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
index 805cda7e9a7d..7bf01a59b97b 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
@@ -29,6 +29,8 @@ import { ndarray } from '@stdlib/types/ndarray';
 * @param arrays - array-like object containing three input ndarrays and one output ndarray
 * @throws arrays must have the same number of dimensions
 * @throws arrays must have the same shape
+* @throws {Error} condition array must be a boolean or uint8 ndarray
+* @throws {Error} x and y ndarrays must have the same dtype
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
@@ -57,7 +59,7 @@ import { ndarray } from '@stdlib/types/ndarray';
 * var oo = 0;
 *
 * // Create the input and output ndarrays:
-* var condition = ndarray( 'float64', cbuf, shape, sc, oc, 'row-major' );
+* var condition = ndarray( 'uint8', cbuf, shape, sc, oc, 'row-major' );
 * var x = ndarray( 'float64', xbuf, shape, sx, ox, 'row-major' );
 * var y = ndarray( 'float64', ybuf, shape, sy, oy, 'row-major' );
 * var out = ndarray( 'float64', obuf, shape, so, oo, 'row-major' );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts
index 5846660d5763..ce13ebab15d8 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/test.ts
@@ -24,7 +24,9 @@ import where = require( './index' );
 
 // The function returns `undefined`...
 {
-	const condition = zeros( [ 2, 2 ] );
+	const condition = zeros( [ 2, 2 ], {
+		'dtype': 'uint8'
+	});
 	const x = zeros( [ 2, 2 ] );
 	const y = zeros( [ 2, 2 ] );
 	const out = zeros( [ 2, 2 ] );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
index 8c28cf1251c4..267f16ef2198 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
@@ -92,7 +92,7 @@
 *
 * // Create the ndarray-like objects:
 * var condition = {
-*     'dtype': 'uint8',
+*     'dtype': 'bool',
 *     'data': cbuf,
 *     'shape': shape,
 *     'strides': sc,
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
index 2db3e3d9b1db..a45b92da396b 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -223,6 +223,8 @@ function complex2real( x ) {
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing one condition array, two input arrays, and one output array
 * @throws {Error} arrays must have the same number of dimensions
 * @throws {Error} arrays must have the same shape
+* @throws {Error} condition array must be a boolean or uint8 ndarray
+* @throws {Error} x and y ndarrays must have the same dtype
 * @returns {void}
 *
 * @example
@@ -328,6 +330,14 @@ function where( arrays ) {
 	y = ndarray2object( arrays[ 2 ] );
 	o = ndarray2object( arrays[ 3 ] );
 
+	if ( !isBooleanArray( c.data ) && c.dtype !== 'bool' && c.dtype !== 'uint8') {
+		throw new Error( format( 'invalid arguments. Condition array must be a boolean or uint8 ndarray. c.dtype=%s', c.dtype ) );
+	}
+
+	if ( x.dtype !== y.dtype ) {
+		throw new Error( format( 'invalid arguments. Input arrays must have the same data type. x.dtype=%s, y.dtype=%s', x.dtype, y.dtype ) );
+	}
+
 	// Always reinterpret condition array to uint8
 	if ( isBooleanArray( c.data ) ) {
 		c = boolean2uint8( c );
@@ -342,6 +352,7 @@ function where( arrays ) {
 		x = complex2real( x );
 		y = complex2real( y );
 		o = complex2real( o );
+
 		c.shape.push( 2 ); // real and imaginary components
 		c.strides.push( 0 ); // broadcast
 	}
@@ -363,7 +374,7 @@ function where( arrays ) {
 	}
 	// Determine whether we can avoid iteration altogether...
 	if ( ndims === 0 ) {
-		if ( hasAccessors( x, y, o ) ) {
+		if ( hasAccessors( c, x, y, o ) ) {
 			return ACCESSOR_WHERE[ ndims ]( c, x, y, o );
 		}
 		return WHERE[ ndims ]( c, x, y, o );
@@ -390,7 +401,7 @@ function where( arrays ) {
 	}
 	// Determine whether the ndarrays are one-dimensional and thus readily translate to one-dimensional strided arrays...
 	if ( ndims === 1 ) {
-		if ( hasAccessors( x, y, o ) ) {
+		if ( hasAccessors( c, x, y, o ) ) {
 			return ACCESSOR_WHERE[ ndims ]( c, x, y, o );
 		}
 		return WHERE[ ndims ]( c, x, y, o );
@@ -416,7 +427,7 @@ function where( arrays ) {
 		x.strides = [ sx[i] ];
 		y.strides = [ sy[i] ];
 		o.strides = [ so[i] ];
-		if ( hasAccessors( x, y, o ) ) {
+		if ( hasAccessors( c, x, y, o ) ) {
 			return ACCESSOR_WHERE[ 1 ]( c, x, y, o );
 		}
 		return WHERE[ 1 ]( c, x, y, o );
@@ -470,7 +481,7 @@ function where( arrays ) {
 			x.offset = ox;
 			y.offset = oy;
 			o.offset = oo;
-			if ( hasAccessors( x, y, o ) ) {
+			if ( hasAccessors( c, x, y, o ) ) {
 				return ACCESSOR_WHERE[ 1 ]( c, x, y, o );
 			}
 			return WHERE[ 1 ]( c, x, y, o );
@@ -480,7 +491,7 @@ function where( arrays ) {
 		// Determine whether we can use simple nested loops...
 		if ( ndims <= MAX_DIMS ) {
 			// So long as iteration for each respective array 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 ( hasAccessors( x, y, o ) ) {
+			if ( hasAccessors( c, x, y, o ) ) {
 				return ACCESSOR_WHERE[ ndims ]( c, x, y, o, ord === 1 );
 			}
 			return WHERE[ ndims ]( c, x, y, o, ord === 1 );
@@ -491,13 +502,13 @@ function where( arrays ) {
 
 	// Determine whether we can perform blocked iteration...
 	if ( ndims <= MAX_DIMS ) {
-		if ( hasAccessors( x, y, o ) ) {
+		if ( hasAccessors( c, x, y, o ) ) {
 			return BLOCKED_ACCESSOR_WHERE[ ndims-2 ]( c, x, y, o );
 		}
 		return BLOCKED_WHERE[ ndims-2 ]( c, x, y, o );
 	}
 	// Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)...
-	if ( hasAccessors( x, y, o ) ) {
+	if ( hasAccessors( c, x, y, o ) ) {
 		return accessorwherend( c, x, y, o );
 	}
 	wherend( c, x, y, o );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
index 4b85b3b39608..0647babd239c 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
@@ -191,7 +191,7 @@ tape( 'the function conditionally assigns elements from a 1-dimensional input nd
 		-3.0,
 		-4.0
 	];
-	condition = ndarray( 'generic', toAccessorArray( cbuf ), [ 4 ], [ 1 ], 0, 'row-major' );
+	condition = ndarray( 'uint8', toAccessorArray( cbuf ), [ 4 ], [ 1 ], 0, 'row-major' );
 	x = ndarray( 'generic', toAccessorArray( xbuf ), [ 4 ], [ 1 ], 0, 'row-major' );
 	y = ndarray( 'generic', toAccessorArray( ybuf ), [ 4 ], [ 1 ], 0, 'row-major' );
 	out = ndarray( 'generic', toAccessorArray( zeros( 4, 'generic' ) ), [ 4 ], [ 1 ], 0, 'row-major' );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
index 76fb081a185a..9feb7faea48f 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
@@ -37,6 +37,37 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
+tape( 'the function throws an error if provided input ndarrays which doesnot have the same data types', function test( t ) {
+	var condition;
+	var values;
+	var out;
+	var x;
+	var y;
+	var i;
+
+	condition = ndarray( 'uint8', [ 1, 0, 0, 1 ], [ 4 ], [ 1 ], 0, 'row-major' );
+	x = ndarray( 'float32', [ 1.0, 2.0, 3.0, 4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
+	out = ndarray( 'generic', zeros( 8, 'generic' ), [ 4 ], [ 1 ], 0, 'row-major' );
+
+	values = [
+		'float64',
+		'complex64',
+		'uint8',
+		'bool'
+	];
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			y = ndarray( value, [ -1.0, -2.0, -3.0, -4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
+			where( [ condition, x, y, out ] );
+		};
+	}
+});
+
 tape( 'the function throws an error if provided ndarrays which doesnot have the same shape', function test( t ) {
 	var condition;
 	var values;
@@ -68,6 +99,36 @@ tape( 'the function throws an error if provided ndarrays which doesnot have the
 	}
 });
 
+tape( 'the function throws an error if provided a non-boolean or uint8 condition ndarray', function test( t ) {
+	var condition;
+	var values;
+	var out;
+	var x;
+	var y;
+	var i;
+
+	x = ndarray( 'float32', [ 1.0, 2.0, 3.0, 4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
+	y = ndarray( 'float32', [ -1.0, -2.0, -3.0, -4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
+	out = ndarray( 'float32', zeros( 4, 'float32' ), [ 4 ], [ 1 ], 0, 'row-major' );
+
+	values = [
+		'float64',
+		'complex64',
+		'binary'
+	];
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
+	}
+	t.end();
+
+	function badValue( value ) {
+		return function badValue() {
+			condition = ndarray( value, [ 1, 0, 0, 1 ], [ 4 ], [ 1 ], 0, 'row-major' );
+			where( [ condition, x, y, out ] );
+		};
+	}
+});
+
 tape( 'the function conditionally assigns elements from an input ndarray to an output ndarray (boolean)', function test( t ) {
 	var condition;
 	var expected;

From 0c3a27cc59ea993c93ac081d47be1308e1e8b7cd Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 25 Mar 2026 01:46:13 +0200
Subject: [PATCH 30/33] chore: apply requested changes

---
 .../@stdlib/ndarray/base/where/README.md      | 21 +++---
 .../@stdlib/ndarray/base/where/docs/repl.txt  |  4 +-
 .../ndarray/base/where/docs/types/index.d.ts  |  1 -
 .../@stdlib/ndarray/base/where/lib/main.js    | 53 +++++++++------
 .../ndarray/base/where/test/test.0d.js        |  7 +-
 .../ndarray/base/where/test/test.1d.js        |  6 +-
 .../ndarray/base/where/test/test.2d.js        | 64 +++++++++----------
 .../ndarray/base/where/test/test.3d.js        | 64 +++++++++----------
 .../@stdlib/ndarray/base/where/test/test.js   | 36 ++---------
 9 files changed, 119 insertions(+), 137 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/README.md b/lib/node_modules/@stdlib/ndarray/base/where/README.md
index f66f36aa72e8..4776ddd936ff 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/where/README.md
@@ -47,24 +47,24 @@ var Float64Array = require( '@stdlib/array/float64' );
 var Uint8Array = require( '@stdlib/array/uint8' );
 
 // Create data buffers:
-var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1 ] );
-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 ] );
-var ybuf = 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 ] );
+var cbuf = new Uint8Array( [ 1, 0, 0, 1, 0, 1 ] );
+var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+var ybuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0 ] );
 var obuf = new Float64Array( 6 );
 
 // Define the shape of the input and output arrays:
 var shape = [ 3, 1, 2 ];
 
 // Define the array strides:
-var sc = [ 4, 4, 1 ];
-var sx = [ 4, 4, 1 ];
-var sy = [ 4, 4, 1 ];
+var sc = [ 2, 2, 1 ];
+var sx = [ 2, 2, 1 ];
+var sy = [ 2, 2, 1 ];
 var so = [ 2, 2, 1 ];
 
 // Define the index offsets:
-var oc = 1;
-var ox = 1;
-var oy = 1;
+var oc = 0;
+var ox = 0;
+var oy = 0;
 var oo = 0;
 
 // Create the input and output ndarrays:
@@ -105,7 +105,7 @@ var out = {
 where( [ condition, x, y, out ] );
 
 console.log( out.data );
-// => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
+// => <Float64Array>[ 1.0, -2.0, -3.0, 4.0, -5.0, 6.0 ]
 ```
 
 The function accepts the following arguments:
@@ -131,7 +131,6 @@ Each provided ndarray should be an object with the following properties:
 
 -   `condition` ndarray must be a `boolean` or `uint8` ndarray.
 -   `condition`, `x`, `y`, and `out` ndarrays must have the same shape.
--   `x` and `y` must have the same data type.
 -   The function **mutates** the input ndarrays shapes and strides if necessary.
 -   For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before conditionally assigning elements in order to achieve better performance.
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
index 76ca5f5c4589..09594d8e8d39 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Applies a condition to elements in two input ndarrays
-    and assigns results to elements in an output ndarray.
+    Applies a condition to elements in two input ndarrays and assigns results
+    to elements in an output ndarray.
 
     Each provided "ndarray" should be an object with the following properties:
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
index 7bf01a59b97b..f7c33111a5bf 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
@@ -30,7 +30,6 @@ import { ndarray } from '@stdlib/types/ndarray';
 * @throws arrays must have the same number of dimensions
 * @throws arrays must have the same shape
 * @throws {Error} condition array must be a boolean or uint8 ndarray
-* @throws {Error} x and y ndarrays must have the same dtype
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
index a45b92da396b..eb3260f6949c 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -16,6 +16,8 @@
 * limitations under the License.
 */
 
+/* eslint-disable max-lines */
+
 'use strict';
 
 // MODULES //
@@ -25,6 +27,7 @@ var isComplexDataType = require( '@stdlib/ndarray/base/assert/is-complex-floatin
 var isRealDataType = require( '@stdlib/ndarray/base/assert/is-real-data-type' );
 var isComplexArray = require( '@stdlib/array/base/assert/is-complex-typed-array' );
 var isBooleanArray = require( '@stdlib/array/base/assert/is-booleanarray' );
+var isUint8Array = require( '@stdlib/assert/is-uint8array' );
 var iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
 var strides2order = require( '@stdlib/ndarray/base/strides2order' );
 var anyIsEntryIn = require( '@stdlib/array/base/any-is-entry-in' );
@@ -148,10 +151,11 @@ var COMPLEX_TO_REAL = { // WARNING: this table needs to be manually updated if w
 * @param {ndarrayLike} x - first ndarray
 * @param {ndarrayLike} y - second ndarray
 * @param {ndarrayLike} z - third ndarray
+* @param {ndarrayLike} w - fourth ndarray
 * @returns {boolean} boolean indicating whether an ndarray data buffer implements the accessor protocol
 */
-function hasAccessors( x, y, z ) {
-	return anyIsEntryIn( [ x, y, z ], 'accessorProtocol', true );
+function hasAccessors( x, y, z, w ) {
+	return anyIsEntryIn( [ x, y, z, w ], 'accessorProtocol', true );
 }
 
 /**
@@ -224,7 +228,6 @@ function complex2real( x ) {
 * @throws {Error} arrays must have the same number of dimensions
 * @throws {Error} arrays must have the same shape
 * @throws {Error} condition array must be a boolean or uint8 ndarray
-* @throws {Error} x and y ndarrays must have the same dtype
 * @returns {void}
 *
 * @example
@@ -292,7 +295,7 @@ function complex2real( x ) {
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function where( arrays ) {
+function where( arrays ) { // eslint-disable-line max-statements
 	var ndims;
 	var cmmv;
 	var xmmv;
@@ -330,12 +333,18 @@ function where( arrays ) {
 	y = ndarray2object( arrays[ 2 ] );
 	o = ndarray2object( arrays[ 3 ] );
 
-	if ( !isBooleanArray( c.data ) && c.dtype !== 'bool' && c.dtype !== 'uint8') {
-		throw new Error( format( 'invalid arguments. Condition array must be a boolean or uint8 ndarray. c.dtype=%s', c.dtype ) );
+	// Verify that the input and output arrays have the same number of dimensions...
+	shc = c.shape;
+	shx = x.shape;
+	shy = y.shape;
+	sho = o.shape;
+	ndims = shc.length;
+	if ( ndims !== shx.length || ndims !== shy.length || ndims !== sho.length ) { // eslint-disable-line max-len
+		throw new Error( format( 'invalid arguments. Arrays must have the same number of dimensions (i.e., same rank). ndims(c) == %d. ndims(x) == %d. ndims(y) == %d. ndims(o) == %d.', shc.length, shx.length, shy.length, sho.length ) );
 	}
 
-	if ( x.dtype !== y.dtype ) {
-		throw new Error( format( 'invalid arguments. Input arrays must have the same data type. x.dtype=%s, y.dtype=%s', x.dtype, y.dtype ) );
+	if ( !isBooleanArray( c.data ) && !isUint8Array( c.data ) ) {
+		throw new Error( format( 'invalid arguments. Condition array must be a boolean or uint8 ndarray. c.dtype=%s', c.dtype ) );
 	}
 
 	// Always reinterpret condition array to uint8
@@ -344,11 +353,11 @@ function where( arrays ) {
 	}
 
 	// Check for known array types which can be reinterpreted for better iteration performance...
-	if ( isBooleanArray( x.data ) && isBooleanArray( y.data ) && isBooleanArray( o.data ) ) {
+	if ( isBooleanArray( x.data ) && isBooleanArray( y.data ) && isBooleanArray( o.data ) ) { // eslint-disable-line max-len
 		x = boolean2uint8( x );
 		y = boolean2uint8( y );
 		o = boolean2uint8( o );
-	} else if ( isComplexArray( x.data ) && isComplexArray( y.data ) && isComplexArray( o.data ) ) {
+	} else if ( isComplexArray( x.data ) && isComplexArray( y.data ) && isComplexArray( o.data ) ) { // eslint-disable-line max-len
 		x = complex2real( x );
 		y = complex2real( y );
 		o = complex2real( o );
@@ -357,21 +366,23 @@ function where( arrays ) {
 		c.strides.push( 0 ); // broadcast
 	}
 	// Determine whether we are casting a real data type to a complex data type and we need to use a specialized accessor (note: we don't support the other way, complex-to-real, as this is not an allowed (mostly) safe cast; note: we cannot create a specialized view for assigning only real components, as the imaginary component for each element in `y` also needs to be set to zero and while we could perform two passes, it's not clear it's worth the effort)...
-	else if ( (isRealDataType( x.dtype ) && isRealDataType( y.dtype ) ) && isComplexDataType( o.dtype ) ) {
-		x.accessorProtocol = true;
-		y.accessorProtocol = true;
-		x.accessors[ 0 ] = castReturn( x.accessors[ 0 ], 2, complexCtors( String( o.dtype ) ) ); // eslint-disable-line max-len
-		y.accessors[ 0 ] = castReturn( y.accessors[ 0 ], 2, complexCtors( String( o.dtype ) ) ); // eslint-disable-line max-len
+	else if ( isComplexDataType( o.dtype ) ) {
+		if ( isRealDataType( x.dtype )) {
+			x.accessorProtocol = true;
+			x.accessors[ 0 ] = castReturn( x.accessors[ 0 ], 2, complexCtors( String( o.dtype ) ) ); // eslint-disable-line max-len
+		}
+		if ( isRealDataType( y.dtype ) ) {
+			y.accessorProtocol = true;
+			y.accessors[ 0 ] = castReturn( y.accessors[ 0 ], 2, complexCtors( String( o.dtype ) ) ); // eslint-disable-line max-len
+		}
 	}
-	// Verify that the input and output arrays have the same number of dimensions...
+
 	shc = c.shape;
 	shx = x.shape;
 	shy = y.shape;
 	sho = o.shape;
 	ndims = shc.length;
-	if ( ndims !== shx.length || ndims !== shy.length || ndims !== sho.length ) {
-		throw new Error( format( 'invalid arguments. Arrays must have the same number of dimensions (i.e., same rank). ndims(c) == %d. ndims(x) == %d. ndims(y) == %d. ndims(o) == %d.', shc.length, shx.length, shy.length, sho.length ) );
-	}
+
 	// Determine whether we can avoid iteration altogether...
 	if ( ndims === 0 ) {
 		if ( hasAccessors( c, x, y, o ) ) {
@@ -439,7 +450,7 @@ function where( arrays ) {
 
 	// Determine whether we can avoid blocked iteration...
 	ord = strides2order( sc );
-	if ( ioc !== 0 && iox !== 0 && ioy !== 0 && ioo !== 0 && ord === strides2order( sx ) && ord === strides2order( sy ) && ord === strides2order( so ) ) {
+	if ( ioc !== 0 && iox !== 0 && ioy !== 0 && ioo !== 0 && ord === strides2order( sx ) && ord === strides2order( sy ) && ord === strides2order( so ) ) { // eslint-disable-line max-len
 		// Determine the minimum and maximum linear indices which are accessible by the array views:
 		cmmv = minmaxViewBufferIndex( shc, sc, c.offset );
 		xmmv = minmaxViewBufferIndex( shx, sx, x.offset );
@@ -447,7 +458,7 @@ function where( arrays ) {
 		ommv = minmaxViewBufferIndex( sho, so, o.offset );
 
 		// Determine whether we can ignore shape (and strides) and treat the ndarrays as linear one-dimensional strided arrays...
-		if ( len === ( cmmv[1]-cmmv[0]+1 ) && len === ( xmmv[1]-xmmv[0]+1 ) && len === ( ymmv[1]-ymmv[0]+1 ) && len === ( ommv[1]-ommv[0]+1 ) ) {
+		if ( len === ( cmmv[1]-cmmv[0]+1 ) && len === ( xmmv[1]-xmmv[0]+1 ) && len === ( ymmv[1]-ymmv[0]+1 ) && len === ( ommv[1]-ommv[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 ( ioc === 1 ) {
 				oc = cmmv[ 0 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js
index 09cc2512468b..9ba478752cec 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.0d.js
@@ -25,6 +25,7 @@ var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
 var isSameAccessorArray = require( '@stdlib/assert/is-same-accessor-array' );
 var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var Float64Array = require( '@stdlib/array/float64' );
+var Uint8Array = require( '@stdlib/array/uint8' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray = require( '@stdlib/ndarray/ctor' );
 var where = require( './../lib' );
@@ -38,7 +39,7 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'the function assigns elements from n 0-dimensional input ndarray to an output ndarray', function test( t ) {
+tape( 'the function assigns elements from a 0-dimensional input ndarray to an output ndarray', function test( t ) {
 	var condition;
 	var expected;
 	var out;
@@ -66,13 +67,13 @@ tape( 'the function assigns elements from n 0-dimensional input ndarray to an ou
 	t.end();
 });
 
-tape( 'the function assigns elements from n 0-dimensional input ndarray to an output ndarray (accessors)', function test( t ) {
+tape( 'the function assigns elements from a 0-dimensional input ndarray to an output ndarray (accessors)', function test( t ) {
 	var condition;
 	var out;
 	var x;
 	var y;
 
-	condition = ndarray( 'uint8', toAccessorArray( [ 1 ] ), [], [ 0 ], 0, 'row-major' );
+	condition = ndarray( 'uint8', new Uint8Array( [ 1 ]), [], [ 0 ], 0, 'row-major' );
 	x = ndarray( 'generic', toAccessorArray( [ 1.0 ] ), [], [ 0 ], 0, 'row-major' );
 	y = ndarray( 'generic', toAccessorArray( [ -1.0 ] ), [], [ 0 ], 0, 'row-major' );
 	out = ndarray( 'generic', toAccessorArray( [ 0.0 ] ), [], [ 0 ], 0, 'row-major' );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
index 0647babd239c..7c6424f85b69 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.1d.js
@@ -173,12 +173,12 @@ tape( 'the function conditionally assigns elements from a 1-dimensional input nd
 	var x;
 	var y;
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		0,
 		0,
 		0,
 		0
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -191,7 +191,7 @@ tape( 'the function conditionally assigns elements from a 1-dimensional input nd
 		-3.0,
 		-4.0
 	];
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), [ 4 ], [ 1 ], 0, 'row-major' );
+	condition = ndarray( 'uint8', cbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 	x = ndarray( 'generic', toAccessorArray( xbuf ), [ 4 ], [ 1 ], 0, 'row-major' );
 	y = ndarray( 'generic', toAccessorArray( ybuf ), [ 4 ], [ 1 ], 0, 'row-major' );
 	out = ndarray( 'generic', toAccessorArray( zeros( 4, 'generic' ) ), [ 4 ], [ 1 ], 0, 'row-major' );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
index 13162cc922d4..6a090312756e 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
@@ -123,12 +123,12 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -142,7 +142,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
@@ -583,12 +583,12 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -602,7 +602,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
@@ -634,12 +634,12 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = [ -2, -1 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -653,7 +653,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
@@ -686,7 +686,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = [ 4, 1 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -695,7 +695,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -718,7 +718,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	];
 	obuf = zeros( 8, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -751,7 +751,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = [ 4, -1 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -760,7 +760,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -783,7 +783,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	];
 	obuf = zeros( 8, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -826,7 +826,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 1 ] );
 	obuf = zeros( numel( sh )*2, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -869,7 +869,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 1 ] );
 	obuf = zeros( numel( sh )*2, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -959,12 +959,12 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -978,7 +978,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
@@ -1419,12 +1419,12 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1470,12 +1470,12 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = [ -1, -2 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1522,7 +1522,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = [ 1, 4 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -1531,7 +1531,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1554,7 +1554,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	];
 	obuf = zeros( 8, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -1587,7 +1587,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	st = [ 1, -4 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -1596,7 +1596,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1619,7 +1619,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	];
 	obuf = zeros( 8, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -1662,7 +1662,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
 	obuf = zeros( numel( sh )*2, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -1704,7 +1704,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
 	obuf = zeros( numel( sh )*2, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
index 4309f8f56b0e..59a21f468d73 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
@@ -123,12 +123,12 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -142,7 +142,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
@@ -583,12 +583,12 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -602,7 +602,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
@@ -634,12 +634,12 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = [ -2, -2, -1 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -653,7 +653,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), 'generic' ) ), sh, st, o, ord );
@@ -686,7 +686,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = [ 4, 2, 1 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -695,7 +695,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -718,7 +718,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	];
 	obuf = zeros( 8, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -751,7 +751,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = [ 4, -2, 1 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -760,7 +760,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -783,7 +783,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	];
 	obuf = zeros( 8, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -826,7 +826,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
 	obuf = zeros( numel( sh )*2, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -869,7 +869,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 2 ] );
 	obuf = zeros( numel( sh )*2, 'generic' );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -959,12 +959,12 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -978,7 +978,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		-4.0
 	];
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
@@ -1419,12 +1419,12 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = shape2strides( sh, ord );
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1470,12 +1470,12 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = [ -1, -1, -2 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1522,7 +1522,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = [ 1, 2, 4 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -1531,7 +1531,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1554,7 +1554,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	];
 	obuf = zeros( 8, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -1587,7 +1587,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	st = [ 1, -2, -4 ];
 	o = strides2offset( sh, st );
 
-	cbuf = [
+	cbuf = new Uint8Array([
 		1,
 		1,
 		1,
@@ -1596,7 +1596,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 		1,
 		1,
 		1
-	];
+	]);
 	xbuf = [
 		1.0,
 		2.0,
@@ -1619,7 +1619,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	];
 	obuf = zeros( 8, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -1662,7 +1662,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
 	obuf = zeros( numel( sh )*2, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
@@ -1704,7 +1704,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	gfill( numel( sh ), -1.0, ybuf, st[ 0 ] );
 	obuf = zeros( numel( sh )*2, dt );
 
-	condition = ndarray( 'uint8', toAccessorArray( cbuf ), sh, st, o, ord );
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
 	out = ndarray( dt, toAccessorArray( obuf ), sh, st, o, ord );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
index 9feb7faea48f..e7bc66566ae6 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
@@ -37,46 +37,18 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'the function throws an error if provided input ndarrays which doesnot have the same data types', function test( t ) {
-	var condition;
-	var values;
-	var out;
-	var x;
-	var y;
-	var i;
-
-	condition = ndarray( 'uint8', [ 1, 0, 0, 1 ], [ 4 ], [ 1 ], 0, 'row-major' );
-	x = ndarray( 'float32', [ 1.0, 2.0, 3.0, 4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
-	out = ndarray( 'generic', zeros( 8, 'generic' ), [ 4 ], [ 1 ], 0, 'row-major' );
-
-	values = [
-		'float64',
-		'complex64',
-		'uint8',
-		'bool'
-	];
-	for ( i = 0; i < values.length; i++ ) {
-		t.throws( badValue( values[ i ] ), Error, 'throws an error when provided ' + values[ i ] );
-	}
-	t.end();
-
-	function badValue( value ) {
-		return function badValue() {
-			y = ndarray( value, [ -1.0, -2.0, -3.0, -4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
-			where( [ condition, x, y, out ] );
-		};
-	}
-});
-
 tape( 'the function throws an error if provided ndarrays which doesnot have the same shape', function test( t ) {
 	var condition;
 	var values;
+	var cbuf;
 	var out;
 	var x;
 	var y;
 	var i;
 
-	condition = ndarray( 'uint8', [ 1, 0, 0, 1 ], [ 4 ], [ 1 ], 0, 'row-major' );
+	cbuf = new BooleanArray([ 1, 0, 0, 1 ]);
+
+	condition = ndarray( 'uint8', cbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 	x = ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
 	y = ndarray( 'generic', [ -1.0, -2.0, -3.0, -4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );
 

From 95e9b66b8a1cbd2f84faad9053c8caa7e5c2bb60 Mon Sep 17 00:00:00 2001
From: Loay Ahmed <loayahmed304@gmail.com>
Date: Wed, 25 Mar 2026 18:18:39 +0200
Subject: [PATCH 31/33] Update main.js

Co-authored-by: Muhammad Haris <101793258+headlessNode@users.noreply.github.com>
Signed-off-by: Loay Ahmed <loayahmed304@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/base/where/lib/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
index eb3260f6949c..3cb6b7dbafd7 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -367,7 +367,7 @@ function where( arrays ) { // eslint-disable-line max-statements
 	}
 	// Determine whether we are casting a real data type to a complex data type and we need to use a specialized accessor (note: we don't support the other way, complex-to-real, as this is not an allowed (mostly) safe cast; note: we cannot create a specialized view for assigning only real components, as the imaginary component for each element in `y` also needs to be set to zero and while we could perform two passes, it's not clear it's worth the effort)...
 	else if ( isComplexDataType( o.dtype ) ) {
-		if ( isRealDataType( x.dtype )) {
+		if ( isRealDataType( x.dtype ) ) {
 			x.accessorProtocol = true;
 			x.accessors[ 0 ] = castReturn( x.accessors[ 0 ], 2, complexCtors( String( o.dtype ) ) ); // eslint-disable-line max-len
 		}

From fb2a747230fe5c8f288064e3f28cd0b3367b2cca Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Wed, 25 Mar 2026 20:02:39 +0200
Subject: [PATCH 32/33] chore: apply requested changes

---
 .../@stdlib/ndarray/base/where/README.md      |  1 -
 ...benchmark.2d_rowmajor_accessors_complex.js |  6 +--
 .../ndarray/base/where/docs/types/index.d.ts  |  2 +-
 .../ndarray/base/where/lib/0d_accessors.js    |  4 ++
 .../@stdlib/ndarray/base/where/lib/10d.js     |  8 ++--
 .../ndarray/base/where/lib/10d_accessors.js   |  8 ++--
 .../ndarray/base/where/lib/10d_blocked.js     |  7 ++-
 .../base/where/lib/10d_blocked_accessors.js   |  6 +--
 .../@stdlib/ndarray/base/where/lib/1d.js      | 40 ++++++++---------
 .../ndarray/base/where/lib/1d_accessors.js    | 44 ++++++++++---------
 .../@stdlib/ndarray/base/where/lib/2d.js      | 12 ++---
 .../ndarray/base/where/lib/2d_accessors.js    | 18 +++++---
 .../base/where/lib/2d_blocked_accessors.js    |  4 ++
 .../@stdlib/ndarray/base/where/lib/3d.js      |  4 +-
 .../ndarray/base/where/lib/3d_accessors.js    |  4 +-
 .../ndarray/base/where/lib/3d_blocked.js      |  8 ++--
 .../base/where/lib/3d_blocked_accessors.js    |  6 +--
 .../@stdlib/ndarray/base/where/lib/4d.js      |  6 +--
 .../ndarray/base/where/lib/4d_accessors.js    |  8 ++--
 .../ndarray/base/where/lib/4d_blocked.js      | 11 +++--
 .../base/where/lib/4d_blocked_accessors.js    | 10 ++---
 .../@stdlib/ndarray/base/where/lib/5d.js      |  6 +--
 .../ndarray/base/where/lib/5d_accessors.js    |  8 ++--
 .../ndarray/base/where/lib/5d_blocked.js      | 11 +++--
 .../base/where/lib/5d_blocked_accessors.js    | 10 ++---
 .../@stdlib/ndarray/base/where/lib/6d.js      |  8 ++--
 .../ndarray/base/where/lib/6d_accessors.js    |  8 ++--
 .../ndarray/base/where/lib/6d_blocked.js      | 11 +++--
 .../base/where/lib/6d_blocked_accessors.js    | 10 ++---
 .../@stdlib/ndarray/base/where/lib/7d.js      |  4 +-
 .../ndarray/base/where/lib/7d_accessors.js    |  6 +--
 .../ndarray/base/where/lib/7d_blocked.js      | 15 +++----
 .../base/where/lib/7d_blocked_accessors.js    | 14 +++---
 .../@stdlib/ndarray/base/where/lib/8d.js      |  6 +--
 .../ndarray/base/where/lib/8d_accessors.js    |  8 ++--
 .../ndarray/base/where/lib/8d_blocked.js      |  5 +--
 .../base/where/lib/8d_blocked_accessors.js    |  4 +-
 .../@stdlib/ndarray/base/where/lib/9d.js      |  8 ++--
 .../ndarray/base/where/lib/9d_accessors.js    |  8 ++--
 .../ndarray/base/where/lib/9d_blocked.js      |  7 ++-
 .../base/where/lib/9d_blocked_accessors.js    |  6 +--
 .../@stdlib/ndarray/base/where/lib/main.js    |  6 +--
 .../@stdlib/ndarray/base/where/lib/nd.js      | 17 +++----
 .../ndarray/base/where/lib/nd_accessors.js    |  6 +--
 .../ndarray/base/where/test/test.2d.js        | 10 +++--
 .../ndarray/base/where/test/test.3d.js        |  8 ++--
 .../@stdlib/ndarray/base/where/test/test.js   |  4 +-
 47 files changed, 217 insertions(+), 214 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/README.md b/lib/node_modules/@stdlib/ndarray/base/where/README.md
index 4776ddd936ff..227f88dde87c 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/where/README.md
@@ -131,7 +131,6 @@ Each provided ndarray should be an object with the following properties:
 
 -   `condition` ndarray must be a `boolean` or `uint8` ndarray.
 -   `condition`, `x`, `y`, and `out` ndarrays must have the same shape.
--   The function **mutates** the input ndarrays shapes and strides if necessary.
 -   For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before conditionally assigning elements in order to achieve better performance.
 
 </section>
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
index 65e43c83d066..6f5220287062 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/benchmark/benchmark.2d_rowmajor_accessors_complex.js
@@ -99,11 +99,11 @@ function createBenchmark( len, shape, ctype, xtype, ytype, otype ) {
 	var y;
 
 	cbuf = filledarrayBy( len, ctype, bernoulli( 0.5 ) );
-	xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) );
-	ybuf = filledarrayBy( len*2, abtype[ ytype ], discreteUniform( -100, 100 ) );
+	xbuf = filledarrayBy( len*2, abtype[ xtype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len
+	ybuf = filledarrayBy( len*2, abtype[ ytype ], discreteUniform( -100, 100 ) ); // eslint-disable-line max-len
 	obuf = filledarray( 0.0, len*2, abtype[ otype ] );
 
-	// broadcast extra dimension along last axis for the condition array for complex compatibility.
+	// Broadcast extra dimension along last axis for the condition array for complex compatibility.
 	stride = shape2strides( shape, order );
 	cshape = shape.slice();
 	cshape.push( 1 );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
index f7c33111a5bf..7594d1962465 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/ndarray/base/where/docs/types/index.d.ts
@@ -29,7 +29,7 @@ import { ndarray } from '@stdlib/types/ndarray';
 * @param arrays - array-like object containing three input ndarrays and one output ndarray
 * @throws arrays must have the same number of dimensions
 * @throws arrays must have the same shape
-* @throws {Error} condition array must be a boolean or uint8 ndarray
+* @throws condition array must be a boolean or uint8 ndarray
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
index 267f16ef2198..9d978e5f01b2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/0d_accessors.js
@@ -31,6 +31,7 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
 * @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
@@ -38,6 +39,7 @@
 * @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
 * @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
@@ -45,6 +47,7 @@
 * @param {IntegerArray} y.strides - stride lengths
 * @param {NonNegativeInteger} y.offset - index offset
 * @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
 * @param {Object} out - object containing output ndarray meta data
 * @param {*} out.dtype - data type
 * @param {Collection} out.data - data buffer
@@ -52,6 +55,7 @@
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
 * @returns {void}
 *
 * @example
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js
index bae4921e557e..9a0085a3463f 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d.js
@@ -33,14 +33,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -122,7 +122,7 @@
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements, max-lines-per-function
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -333,7 +333,7 @@ function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line m
 								for ( i2 = 0; i2 < S2; i2++ ) {
 									for ( i1 = 0; i1 < S1; i1++ ) {
 										for ( i0 = 0; i0 < S0; i0++ ) {
-											obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+											obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
 											ic += dc0;
 											ix += dx0;
 											iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js
index dd49701c4cb8..2ff07aaa0632 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_accessors.js
@@ -34,7 +34,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -42,7 +42,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -147,7 +147,7 @@
 * var im = imagf( v );
 * // returns 2.0
 */
-function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements, max-lines-per-function
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -368,7 +368,7 @@ function where10d( condition, x, y, out, isRowMajor ) { // eslint-disable-line m
 								for ( i2 = 0; i2 < S2; i2++ ) {
 									for ( i1 = 0; i1 < S1; i1++ ) {
 										for ( i0 = 0; i0 < S0; i0++ ) {
-											seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+											seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 											ic += dc0;
 											ix += dx0;
 											iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js
index 41ed39fc2fb7..97d684b4abb0 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked.js
@@ -16,7 +16,7 @@
 * limitations under the License.
 */
 
-/* eslint-disable max-depth, max-len */
+/* eslint-disable max-depth, max-len, max-lines */
 
 'use strict';
 
@@ -39,14 +39,14 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -60,7 +60,6 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
-* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
 * @example
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js
index a0e84117e473..801472edcbfc 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/10d_blocked_accessors.js
@@ -16,7 +16,7 @@
 * limitations under the License.
 */
 
-/* eslint-disable max-depth, max-len */
+/* eslint-disable max-depth, max-len, max-lines */
 
 'use strict';
 
@@ -40,7 +40,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -48,7 +48,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js
index 2bbd193c81b1..70e0649a1d04 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d.js
@@ -31,14 +31,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -61,7 +61,7 @@
 * // Create data buffers:
 * var cbuf = new Uint8Array( [ 1, 0, 1, 0 ] );
 * var xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
-* var ybuf = new Float64Array( [-1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0] );
+* var ybuf = new Float64Array( [ -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, -8.0 ] );
 * var obuf = new Float64Array( 4 );
 *
 * // Define the shape of the input and output arrays:
@@ -124,25 +124,23 @@ function where1d( condition, x, y, out ) {
 	var xbuf;
 	var ybuf;
 	var obuf;
-	var dc0;
-	var dx0;
-	var dy0;
-	var do0;
-	var S0;
+	var dout;
+	var dc;
+	var dx;
+	var dy;
 	var ic;
 	var ix;
 	var iy;
 	var io;
-	var i0;
-
-	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+	var S;
+	var i;
 
 	// Extract loop variables: dimensions and loop offset (pointer) increments...
-	S0 = x.shape[ 0 ];
-	dc0 = condition.strides[ 0 ];
-	dx0 = x.strides[ 0 ];
-	dy0 = y.strides[ 0 ];
-	do0 = out.strides[ 0 ];
+	S = x.shape[ 0 ];
+	dc = condition.strides[ 0 ];
+	dx = x.strides[ 0 ];
+	dy = y.strides[ 0 ];
+	dout = out.strides[ 0 ];
 
 	// Set the pointers to the first indexed elements in the respective ndarrays...
 	ic = condition.offset;
@@ -157,12 +155,12 @@ function where1d( condition, x, y, out ) {
 	obuf = out.data;
 
 	// Iterate over the ndarray dimensions...
-	for ( i0 = 0; i0 < S0; i0++ ) {
+	for ( i = 0; i < S; i++ ) {
 		obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
-		ic += dc0;
-		ix += dx0;
-		iy += dy0;
-		io += do0;
+		ic += dc;
+		ix += dx;
+		iy += dy;
+		io += dout;
 	}
 }
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
index eb9a003f0783..af7afc0df3f2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/1d_accessors.js
@@ -31,20 +31,23 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
 * @param {IntegerArray} y.strides - stride lengths
 * @param {NonNegativeInteger} y.offset - index offset
 * @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
 * @param {Object} out - object containing output ndarray meta data
 * @param {*} out.dtype - data type
 * @param {Collection} out.data - data buffer
@@ -52,6 +55,7 @@
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
 * @returns {void}
 *
 * @example
@@ -148,25 +152,23 @@ function where1d( condition, x, y, out ) {
 	var getx;
 	var gety;
 	var seto;
-	var dc0;
-	var dx0;
-	var dy0;
-	var do0;
-	var S0;
+	var dout;
+	var dc;
+	var dx;
+	var dy;
 	var ic;
 	var ix;
 	var iy;
 	var io;
-	var i0;
-
-	// Note on variable naming convention: S#, dc#, dx#, dy#, do#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+	var i;
+	var S;
 
 	// Extract loop variables: dimensions and loop offset (pointer) increments...
-	S0 = x.shape[ 0 ];
-	dc0 = condition.strides[ 0 ];
-	dx0 = x.strides[ 0 ];
-	dy0 = y.strides[ 0 ];
-	do0 = out.strides[ 0 ];
+	S = x.shape[ 0 ];
+	dc = condition.strides[ 0 ];
+	dx = x.strides[ 0 ];
+	dy = y.strides[ 0 ];
+	dout = out.strides[ 0 ];
 
 	// Set the pointers to the first indexed elements in the respective ndarrays...
 	ic = condition.offset;
@@ -180,19 +182,19 @@ function where1d( condition, x, y, out ) {
 	ybuf = y.data;
 	obuf = out.data;
 
-	// Cache accessors
+	// Cache accessors:
 	getc = condition.accessors[ 0 ];
 	getx = x.accessors[ 0 ];
 	gety = y.accessors[ 0 ];
 	seto = out.accessors[ 1 ];
 
 	// Iterate over the ndarray dimensions...
-	for ( i0 = 0; i0 < S0; i0++ ) {
+	for ( i = 0; i < S; i++ ) {
 		seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
-		ic += dc0;
-		ix += dx0;
-		iy += dy0;
-		io += do0;
+		ic += dc;
+		ix += dx;
+		iy += dy;
+		io += dout;
 	}
 }
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js
index 848b1e7e5bad..6377911b2240 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d.js
@@ -31,14 +31,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -159,8 +159,8 @@ function where2d( condition, x, y, out, isRowMajor ) {
 		// For row-major ndarrays, the last dimensions have the fastest changing indices...
 		S0 = sh[ 1 ];
 		S1 = sh[ 0 ];
-		dc0 = sc[ 1 ];                 // offset increment for innermost loop
-		dc1 = sc[ 0 ] - ( S0*sc[1] );  // offset increment for outermost loop
+		dc0 = sc[ 1 ];                // offset increment for innermost loop
+		dc1 = sc[ 0 ] - ( S0*sc[1] ); // offset increment for outermost loop
 		dx0 = sx[ 1 ];
 		dx1 = sx[ 0 ] - ( S0*sx[1] );
 		dy0 = sy[ 1 ];
@@ -171,8 +171,8 @@ function where2d( condition, x, y, out, isRowMajor ) {
 		// For column-major ndarrays, the first dimensions have the fastest changing indices...
 		S0 = sh[ 0 ];
 		S1 = sh[ 1 ];
-		dc0 = sc[ 0 ];                 // offset increment for innermost loop
-		dc1 = sc[ 1 ] - ( S0*sc[0] );  // offset increment for outermost loop
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] ); // offset increment for outermost loop
 		dx0 = sx[ 0 ];
 		dx1 = sx[ 1 ] - ( S0*sx[0] );
 		dy0 = sy[ 0 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
index a34e80e9d1f0..cdae1c4f4d5e 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_accessors.js
@@ -31,20 +31,23 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Array<Function>} condition.accessors - data buffer accessors
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Array<Function>} x.accessors - data buffer accessors
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
 * @param {IntegerArray} y.strides - stride lengths
 * @param {NonNegativeInteger} y.offset - index offset
 * @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
 * @param {Object} out - object containing output ndarray meta data
 * @param {*} out.dtype - data type
 * @param {Collection} out.data - data buffer
@@ -52,6 +55,7 @@
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
 * @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
@@ -183,8 +187,8 @@ function where2d( condition, x, y, out, isRowMajor ) {
 		// For row-major ndarrays, the last dimensions have the fastest changing indices...
 		S0 = sh[ 1 ];
 		S1 = sh[ 0 ];
-		dc0 = sc[ 1 ];                 // offset increment for innermost loop
-		dc1 = sc[ 0 ] - ( S0*sc[1] );  // offset increment for outermost loop
+		dc0 = sc[ 1 ];                // offset increment for innermost loop
+		dc1 = sc[ 0 ] - ( S0*sc[1] ); // offset increment for outermost loop
 		dx0 = sx[ 1 ];
 		dx1 = sx[ 0 ] - ( S0*sx[1] );
 		dy0 = sy[ 1 ];
@@ -195,8 +199,8 @@ function where2d( condition, x, y, out, isRowMajor ) {
 		// For column-major ndarrays, the first dimensions have the fastest changing indices...
 		S0 = sh[ 0 ];
 		S1 = sh[ 1 ];
-		dc0 = sc[ 0 ];                 // offset increment for innermost loop
-		dc1 = sc[ 1 ] - ( S0*sc[0] );  // offset increment for outermost loop
+		dc0 = sc[ 0 ];                // offset increment for innermost loop
+		dc1 = sc[ 1 ] - ( S0*sc[0] ); // offset increment for outermost loop
 		dx0 = sx[ 0 ];
 		dx1 = sx[ 1 ] - ( S0*sx[0] );
 		dy0 = sy[ 0 ];
@@ -216,7 +220,7 @@ function where2d( condition, x, y, out, isRowMajor ) {
 	ybuf = y.data;
 	obuf = out.data;
 
-	// Cache accessors
+	// Cache accessors:
 	getc = condition.accessors[ 0 ];
 	getx = x.accessors[ 0 ];
 	gety = y.accessors[ 0 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
index 8ee14429f6de..afb16e352854 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/2d_blocked_accessors.js
@@ -37,6 +37,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} condition.accessors - data buffer accessors
 * @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
@@ -44,6 +45,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
 * @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
@@ -51,6 +53,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} y.strides - stride lengths
 * @param {NonNegativeInteger} y.offset - index offset
 * @param {string} y.order - specifies whether `y` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} y.accessors - data buffer accessors
 * @param {Object} out - object containing output ndarray meta data
 * @param {*} out.dtype - data type
 * @param {Collection} out.data - data buffer
@@ -58,6 +61,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
+* @param {Array<Function>} out.accessors - data buffer accessors
 * @returns {void}
 *
 * @example
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js
index a9daa0468938..aa352e68b1fa 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d.js
@@ -31,14 +31,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js
index 2063cc2d54f9..4cbc4b1f404f 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_accessors.js
@@ -32,7 +32,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -40,7 +40,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js
index daee38886601..4627115cdd03 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked.js
@@ -32,21 +32,21 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * Applies a condition to two three-dimensional input ndarrays according to a three-dimensional boolean ndarray and assigns results to elements in a three-dimensional output ndarray via loop blocking.
 *
 * @private
-* @param {Object} condition - object containing boolean ndarray meta data
+* @param {Object} condition - object containing boolean condition ndarray meta data
 * @param {*} condition.dtype - data type
 * @param {Collection} condition.data - data buffer
 * @param {NonNegativeIntegerArray} condition.shape - dimensions
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing output ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -126,7 +126,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, 10.0, 11.0 ]
 */
-function blockedwhere3d( condition, x, y, out ) {
+function blockedwhere3d( condition, x, y, out ) { // eslint-disable-line max-statements
 	var bsize;
 	var cbuf;
 	var xbuf;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js
index 79b82778829e..e8e9f6c0c298 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/3d_blocked_accessors.js
@@ -151,7 +151,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * var im = imagf( v );
 * // returns 2.0
 */
-function blockedwhere3d( condition, x, y, out ) {
+function blockedwhere3d( condition, x, y, out ) { // eslint-disable-line max-statements
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -208,7 +208,7 @@ function blockedwhere3d( condition, x, y, out ) {
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -297,7 +297,7 @@ function blockedwhere3d( condition, x, y, out ) {
 				for ( i2 = 0; i2 < s2; i2++ ) {
 					for ( i1 = 0; i1 < s1; i1++ ) {
 						for ( i0 = 0; i0 < s0; i0++ ) {
-							seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+							seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 							ic += dc0;
 							ix += dx0;
 							iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js
index 7e9d72e6f5e1..a00c9de0acdd 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d.js
@@ -31,14 +31,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -120,7 +120,7 @@
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function where4d( condition, x, y, out, isRowMajor ) {
+function where4d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
 	var cbuf;
 	var xbuf;
 	var ybuf;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js
index 71fe05836f99..a881753720cb 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_accessors.js
@@ -32,7 +32,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -40,7 +40,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -144,7 +144,7 @@
 * var im = imagf( v );
 * // returns 2.0
 */
-function where4d( condition, x, y, out, isRowMajor ) {
+function where4d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -263,7 +263,7 @@ function where4d( condition, x, y, out, isRowMajor ) {
 		for ( i2 = 0; i2 < S2; i2++ ) {
 			for ( i1 = 0; i1 < S1; i1++ ) {
 				for ( i0 = 0; i0 < S0; i0++ ) {
-					seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+					seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 					ic += dc0;
 					ix += dx0;
 					iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js
index 0d69e5036bf6..dcf7a7b29299 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked.js
@@ -39,14 +39,14 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -60,7 +60,6 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
-* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
 * @example
@@ -128,7 +127,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function blockedwhere4d( condition, x, y, out ) {
+function blockedwhere4d( condition, x, y, out ) { // eslint-disable-line max-statements
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -192,7 +191,7 @@ function blockedwhere4d( condition, x, y, out ) {
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -292,7 +291,7 @@ function blockedwhere4d( condition, x, y, out ) {
 						for ( i2 = 0; i2 < s2; i2++ ) {
 							for ( i1 = 0; i1 < s1; i1++ ) {
 								for ( i0 = 0; i0 < s0; i0++ ) {
-									obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+									obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
 									ic += dc0;
 									ix += dx0;
 									iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js
index a86b7dfdcfb5..fb3d24d1bd58 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/4d_blocked_accessors.js
@@ -40,7 +40,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -48,7 +48,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -152,7 +152,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * var im = imagf( v );
 * // returns 2.0
 */
-function blockedwhere4d( condition, x, y, out ) {
+function blockedwhere4d( condition, x, y, out ) { // eslint-disable-line max-statements
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -220,7 +220,7 @@ function blockedwhere4d( condition, x, y, out ) {
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -326,7 +326,7 @@ function blockedwhere4d( condition, x, y, out ) {
 						for ( i2 = 0; i2 < s2; i2++ ) {
 							for ( i1 = 0; i1 < s1; i1++ ) {
 								for ( i0 = 0; i0 < s0; i0++ ) {
-									seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+									seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 									ic += dc0;
 									ix += dx0;
 									iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js
index a82bda751b06..70a3478e94eb 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d.js
@@ -31,14 +31,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -120,7 +120,7 @@
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function where5d( condition, x, y, out, isRowMajor ) {
+function where5d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
 	var cbuf;
 	var xbuf;
 	var ybuf;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js
index b227d6283d41..32ff030709a4 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_accessors.js
@@ -32,7 +32,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -40,7 +40,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -145,7 +145,7 @@
 * var im = imagf( v );
 * // returns -2.0
 */
-function where5d( condition, x, y, out, isRowMajor ) {
+function where5d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -282,7 +282,7 @@ function where5d( condition, x, y, out, isRowMajor ) {
 			for ( i2 = 0; i2 < S2; i2++ ) {
 				for ( i1 = 0; i1 < S1; i1++ ) {
 					for ( i0 = 0; i0 < S0; i0++ ) {
-						seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+						seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 						ic += dc0;
 						ix += dx0;
 						iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js
index 0f4d11cb9d0f..d992fce939aa 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked.js
@@ -39,14 +39,14 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -60,7 +60,6 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
-* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
 * @example
@@ -128,7 +127,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-statements
+function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -203,7 +202,7 @@ function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-sta
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -320,7 +319,7 @@ function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-sta
 								for ( i2 = 0; i2 < s2; i2++ ) {
 									for ( i1 = 0; i1 < s1; i1++ ) {
 										for ( i0 = 0; i0 < s0; i0++ ) {
-											obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+											obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
 											ic += dc0;
 											ix += dx0;
 											iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js
index cb7b8bd082e9..396086302320 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/5d_blocked_accessors.js
@@ -40,7 +40,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -48,7 +48,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -152,7 +152,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * var im = imagf( v );
 * // returns 2.0
 */
-function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-statements
+function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -231,7 +231,7 @@ function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-sta
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -354,7 +354,7 @@ function blockedwhere5d( condition, x, y, out ) { // eslint-disable-line max-sta
 								for ( i2 = 0; i2 < s2; i2++ ) {
 									for ( i1 = 0; i1 < s1; i1++ ) {
 										for ( i0 = 0; i0 < s0; i0++ ) {
-											seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+											seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 											ic += dc0;
 											ix += dx0;
 											iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js
index 898fe0af7471..1c169a043353 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d.js
@@ -33,14 +33,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -122,7 +122,7 @@
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function where6d( condition, x, y, out, isRowMajor ) {
+function where6d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -265,7 +265,7 @@ function where6d( condition, x, y, out, isRowMajor ) {
 				for ( i2 = 0; i2 < S2; i2++ ) {
 					for ( i1 = 0; i1 < S1; i1++ ) {
 						for ( i0 = 0; i0 < S0; i0++ ) {
-							obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+							obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
 							ic += dc0;
 							ix += dx0;
 							iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js
index f900be2f795e..28bc5aede8e4 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_accessors.js
@@ -34,7 +34,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -42,7 +42,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -147,7 +147,7 @@
 * var im = imagf( v );
 * // returns 2.0
 */
-function where6d( condition, x, y, out, isRowMajor ) {
+function where6d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -300,7 +300,7 @@ function where6d( condition, x, y, out, isRowMajor ) {
 				for ( i2 = 0; i2 < S2; i2++ ) {
 					for ( i1 = 0; i1 < S1; i1++ ) {
 						for ( i0 = 0; i0 < S0; i0++ ) {
-							seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+							seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 							ic += dc0;
 							ix += dx0;
 							iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js
index c1bb1500cc5c..342046a04f4f 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked.js
@@ -39,14 +39,14 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -60,7 +60,6 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
-* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
 * @example
@@ -128,7 +127,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-statements
+function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -214,7 +213,7 @@ function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-sta
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -348,7 +347,7 @@ function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-sta
 										for ( i2 = 0; i2 < s2; i2++ ) {
 											for ( i1 = 0; i1 < s1; i1++ ) {
 												for ( i0 = 0; i0 < s0; i0++ ) {
-													obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+													obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
 													ic += dc0;
 													ix += dx0;
 													iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js
index abc75a5936b7..e5c536f2915d 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/6d_blocked_accessors.js
@@ -40,7 +40,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -48,7 +48,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -152,7 +152,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * var im = imagf( v );
 * // returns 2.0
 */
-function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-statements
+function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -242,7 +242,7 @@ function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-sta
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -382,7 +382,7 @@ function blockedwhere6d( condition, x, y, out ) { // eslint-disable-line max-sta
 										for ( i2 = 0; i2 < s2; i2++ ) {
 											for ( i1 = 0; i1 < s1; i1++ ) {
 												for ( i0 = 0; i0 < s0; i0++ ) {
-													seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+													seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 													ic += dc0;
 													ix += dx0;
 													iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js
index c14ee13125e2..440fa9e3fe55 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d.js
@@ -33,14 +33,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js
index 6cea86ee3267..6f1a89af8950 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_accessors.js
@@ -34,7 +34,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -42,7 +42,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -317,7 +317,7 @@ function where7d( condition, x, y, out, isRowMajor ) { // eslint-disable-line ma
 					for ( i2 = 0; i2 < S2; i2++ ) {
 						for ( i1 = 0; i1 < S1; i1++ ) {
 							for ( i0 = 0; i0 < S0; i0++ ) {
-								seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+								seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 								ic += dc0;
 								ix += dx0;
 								iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js
index 79a397126e83..2d5bdbf78c97 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked.js
@@ -39,14 +39,14 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -60,7 +60,6 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
-* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
 * @example
@@ -128,7 +127,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-statements
+function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -225,7 +224,7 @@ function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-sta
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -390,9 +389,9 @@ function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-sta
 										for ( i4 = 0; i4 < s4; i4++ ) {
 											for ( i3 = 0; i3 < s3; i3++ ) {
 												for ( i2 = 0; i2 < s2; i2++ ) {
-													for ( i1 = 0; i1 < s1; i1++ ) {
-														for ( i0 = 0; i0 < s0; i0++ ) {
-															obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+													for ( i1 = 0; i1 < s1; i1++ ) { // eslint-disable-line max-len
+														for ( i0 = 0; i0 < s0; i0++ ) { // eslint-disable-line max-len
+															obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
 															ic += dc0;
 															ix += dx0;
 															iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js
index a943f90b9f18..8dcc9f69ae43 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/7d_blocked_accessors.js
@@ -40,7 +40,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -48,7 +48,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -152,7 +152,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * var im = imagf( v );
 * // returns 2.0
 */
-function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-statements
+function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-statements, max-lines-per-function
 	var bsize;
 	var cbuf;
 	var xbuf;
@@ -253,7 +253,7 @@ function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-sta
 	// Note on variable naming convention: s#, dc#, dx#, dy#, do#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
 
 	// Resolve the loop interchange order:
-	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides );
+	o = loopOrder( condition.shape, condition.strides, x.strides, y.strides, out.strides ); // eslint-disable-line max-len
 
 	// Strides output as follows: sx, sy, sz, sw. According to arguments order respectively..
 	sh = o.sh;
@@ -424,9 +424,9 @@ function blockedwhere7d( condition, x, y, out ) { // eslint-disable-line max-sta
 										for ( i4 = 0; i4 < s4; i4++ ) {
 											for ( i3 = 0; i3 < s3; i3++ ) {
 												for ( i2 = 0; i2 < s2; i2++ ) {
-													for ( i1 = 0; i1 < s1; i1++ ) {
-														for ( i0 = 0; i0 < s0; i0++ ) {
-															seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+													for ( i1 = 0; i1 < s1; i1++ ) { // eslint-disable-line max-len
+														for ( i0 = 0; i0 < s0; i0++ ) { // eslint-disable-line max-len
+															seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 															ic += dc0;
 															ix += dx0;
 															iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js
index 1e81cbd95acf..e062723362ce 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d.js
@@ -33,14 +33,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -122,7 +122,7 @@
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function where8d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+function where8d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements, max-lines-per-function
 	var cbuf;
 	var xbuf;
 	var ybuf;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js
index 3242d26e389e..d44f4233af11 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_accessors.js
@@ -34,7 +34,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -42,7 +42,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -147,7 +147,7 @@
 * var im = imagf( v );
 * // returns 2.0
 */
-function where8d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+function where8d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements, max-lines-per-function
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -334,7 +334,7 @@ function where8d( condition, x, y, out, isRowMajor ) { // eslint-disable-line ma
 						for ( i2 = 0; i2 < S2; i2++ ) {
 							for ( i1 = 0; i1 < S1; i1++ ) {
 								for ( i0 = 0; i0 < S0; i0++ ) {
-									seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+									seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 									ic += dc0;
 									ix += dx0;
 									iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js
index 441d664f7906..fa53b67cb3f9 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked.js
@@ -39,14 +39,14 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -60,7 +60,6 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
-* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
 * @example
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js
index 4894840952c2..0bc562789f47 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/8d_blocked_accessors.js
@@ -40,7 +40,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -48,7 +48,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js
index 3de33356108e..31d9f07f364a 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d.js
@@ -33,14 +33,14 @@
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -122,7 +122,7 @@
 * console.log( out.data );
 * // => <Float64Array>[ -2.0, -3.0, 6.0, 7.0, -10.0, -11.0 ]
 */
-function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements, max-lines-per-function
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -316,7 +316,7 @@ function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line ma
 							for ( i2 = 0; i2 < S2; i2++ ) {
 								for ( i1 = 0; i1 < S1; i1++ ) {
 									for ( i0 = 0; i0 < S0; i0++ ) {
-										obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
+										obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ]; // eslint-disable-line max-len
 										ic += dc0;
 										ix += dx0;
 										iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js
index 7a53dae58ce9..dd8a36838581 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_accessors.js
@@ -34,7 +34,7 @@
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -42,7 +42,7 @@
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -147,7 +147,7 @@
 * var im = imagf( v );
 * // returns 2.0
 */
-function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements
+function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line max-statements, max-lines-per-function
 	var cbuf;
 	var xbuf;
 	var ybuf;
@@ -351,7 +351,7 @@ function where9d( condition, x, y, out, isRowMajor ) { // eslint-disable-line ma
 							for ( i2 = 0; i2 < S2; i2++ ) {
 								for ( i1 = 0; i1 < S1; i1++ ) {
 									for ( i0 = 0; i0 < S0; i0++ ) {
-										seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+										seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 										ic += dc0;
 										ix += dx0;
 										iy += dy0;
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js
index 999676886ae9..44a4e5d61e96 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked.js
@@ -16,7 +16,7 @@
 * limitations under the License.
 */
 
-/* eslint-disable max-depth, max-len */
+/* eslint-disable max-depth, max-len, max-lines */
 
 'use strict';
 
@@ -39,14 +39,14 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -60,7 +60,6 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {IntegerArray} out.strides - stride lengths
 * @param {NonNegativeInteger} out.offset - index offset
 * @param {string} out.order - specifies whether `out` is row-major (C-style) or column-major (Fortran-style)
-* @param {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
 * @returns {void}
 *
 * @example
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js
index 8323d4e860b9..93ccb9cafcc4 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/9d_blocked_accessors.js
@@ -16,7 +16,7 @@
 * limitations under the License.
 */
 
-/* eslint-disable max-depth, max-len */
+/* eslint-disable max-depth, max-len, max-lines */
 
 'use strict';
 
@@ -40,7 +40,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -48,7 +48,7 @@ var blockSize = require( '@stdlib/ndarray/base/ternary-tiling-block-size' );
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
index 3cb6b7dbafd7..0b02e4b1bf2b 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -227,7 +227,7 @@ function complex2real( x ) {
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing one condition array, two input arrays, and one output array
 * @throws {Error} arrays must have the same number of dimensions
 * @throws {Error} arrays must have the same shape
-* @throws {Error} condition array must be a boolean or uint8 ndarray
+* @throws {TypeError} condition array must be a boolean or uint8 ndarray
 * @returns {void}
 *
 * @example
@@ -288,7 +288,7 @@ function complex2real( x ) {
 *     'offset': oo,
 *     'order': 'row-major'
 * };
-
+*
 * // Apply the condition:
 * where( [ condition, x, y, out ] );
 *
@@ -344,7 +344,7 @@ function where( arrays ) { // eslint-disable-line max-statements
 	}
 
 	if ( !isBooleanArray( c.data ) && !isUint8Array( c.data ) ) {
-		throw new Error( format( 'invalid arguments. Condition array must be a boolean or uint8 ndarray. c.dtype=%s', c.dtype ) );
+		throw new TypeError( format( 'invalid arguments. Condition array must be a boolean or uint8 ndarray. c.dtype=%s', c.dtype ) );
 	}
 
 	// Always reinterpret condition array to uint8
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js
index 20291441e483..f0316088fd9f 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd.js
@@ -24,11 +24,6 @@ var numel = require( '@stdlib/ndarray/base/numel' );
 var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
 
 
-// VARIABLES //
-
-var MODE = 'throw';
-
-
 // MAIN //
 
 /**
@@ -42,14 +37,14 @@ var MODE = 'throw';
 * @param {IntegerArray} condition.strides - stride lengths
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} 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 {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -186,10 +181,10 @@ function wherend( condition, x, y, out ) {
 
 	// 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++ ) {
-		ic = vind2bind( sh, sc, oc, ordc, i, MODE );
-		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
-		iy = vind2bind( sh, sy, oy, ordy, i, MODE );
-		io = vind2bind( sh, so, oo, ordo, i, MODE );
+		ic = vind2bind( sh, sc, oc, ordc, i, 'throw' );
+		ix = vind2bind( sh, sx, ox, ordx, i, 'throw' );
+		iy = vind2bind( sh, sy, oy, ordy, i, 'throw' );
+		io = vind2bind( sh, so, oo, ordo, i, 'throw' );
 		obuf[ io ] = ( cbuf[ ic ] ) ? xbuf[ ix ] : ybuf[ iy ];
 	}
 }
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js
index 931a5134d9a5..dec10b812ed8 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/nd_accessors.js
@@ -43,7 +43,7 @@ var MODE = 'throw';
 * @param {NonNegativeInteger} condition.offset - index offset
 * @param {string} condition.order - specifies whether `condition` is row-major (C-style) or column-major (Fortran-style)
 * @param {Array<Function>} condition.accessors - data buffer accessors
-* @param {Object} x - object containing input ndarray meta data
+* @param {Object} x - object containing first input ndarray meta data
 * @param {*} x.dtype - data type
 * @param {Collection} x.data - data buffer
 * @param {NonNegativeIntegerArray} x.shape - dimensions
@@ -51,7 +51,7 @@ var MODE = 'throw';
 * @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
-* @param {Object} y - object containing input ndarray meta data
+* @param {Object} y - object containing second input ndarray meta data
 * @param {*} y.dtype - data type
 * @param {Collection} y.data - data buffer
 * @param {NonNegativeIntegerArray} y.shape - dimensions
@@ -225,7 +225,7 @@ function wherend( condition, x, y, out ) {
 		ix = vind2bind( sh, sx, ox, ordx, i, MODE );
 		iy = vind2bind( sh, sy, oy, ordy, i, MODE );
 		io = vind2bind( sh, so, oo, ordo, i, MODE );
-		seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) );
+		seto( obuf, io, ( getc( cbuf, ic ) ) ? getx( xbuf, ix ) : gety( ybuf, iy ) ); // eslint-disable-line max-len
 	}
 }
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
index 6a090312756e..40aa5b2bdf28 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.2d.js
@@ -16,6 +16,8 @@
 * limitations under the License.
 */
 
+/* eslint-disable max-lines */
+
 'use strict';
 
 // MODULES //
@@ -85,7 +87,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 		-4.0
 	]);
 
-	condition = ndarray('uint8', cbuf, sh, st, o, ord);
+	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, xbuf, sh, st, o, ord );
 	y = ndarray( dt, ybuf, sh, st, o, ord );
 	out = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
@@ -981,7 +983,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
-	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
 
 	where( [ condition, x, y, out ] );
 
@@ -1441,7 +1443,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
-	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
 
 	where( [ condition, x, y, out ] );
 
@@ -1492,7 +1494,7 @@ tape( 'the function conditionally assigns elements from a 2-dimensional input nd
 	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
-	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
 
 	where( [ condition, x, y, out ] );
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
index 59a21f468d73..1cabc58ba915 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.3d.js
@@ -16,6 +16,8 @@
 * limitations under the License.
 */
 
+/* eslint-disable max-lines */
+
 'use strict';
 
 // MODULES //
@@ -981,7 +983,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
-	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
 
 	where( [ condition, x, y, out ] );
 
@@ -1441,7 +1443,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
-	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
 
 	where( [ condition, x, y, out ] );
 
@@ -1492,7 +1494,7 @@ tape( 'the function conditionally assigns elements from a 3-dimensional input nd
 	condition = ndarray( 'uint8', cbuf, sh, st, o, ord );
 	x = ndarray( dt, toAccessorArray( xbuf ), sh, st, o, ord );
 	y = ndarray( dt, toAccessorArray( ybuf ), sh, st, o, ord );
-	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord );
+	out = ndarray( dt, toAccessorArray( zeros( numel( sh ), dt ) ), sh, st, o, ord ); // eslint-disable-line max-len
 
 	where( [ condition, x, y, out ] );
 
diff --git a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
index e7bc66566ae6..8ea2ed79e00c 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/test/test.js
@@ -37,7 +37,7 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'the function throws an error if provided ndarrays which doesnot have the same shape', function test( t ) {
+tape( 'the function throws an error if provided ndarrays which do not have the same shape', function test( t ) {
 	var condition;
 	var values;
 	var cbuf;
@@ -46,7 +46,7 @@ tape( 'the function throws an error if provided ndarrays which doesnot have the
 	var y;
 	var i;
 
-	cbuf = new BooleanArray([ 1, 0, 0, 1 ]);
+	cbuf = new BooleanArray( [ 1, 0, 0, 1 ] );
 
 	condition = ndarray( 'uint8', cbuf, [ 4 ], [ 1 ], 0, 'row-major' );
 	x = ndarray( 'generic', [ 1.0, 2.0, 3.0, 4.0 ], [ 4 ], [ 1 ], 0, 'row-major' );

From 56b0665e175fdc2852601789dc09aa9aa71bbcb6 Mon Sep 17 00:00:00 2001
From: LoayAhmed304 <loayahmed304@gmail.com>
Date: Mon, 30 Mar 2026 18:30:08 +0200
Subject: [PATCH 33/33] fix: remove always condition array reinterpretation

---
 .../@stdlib/ndarray/base/where/lib/main.js          | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
index 0b02e4b1bf2b..b51583c4cc38 100644
--- a/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/where/lib/main.js
@@ -347,16 +347,15 @@ function where( arrays ) { // eslint-disable-line max-statements
 		throw new TypeError( format( 'invalid arguments. Condition array must be a boolean or uint8 ndarray. c.dtype=%s', c.dtype ) );
 	}
 
-	// Always reinterpret condition array to uint8
-	if ( isBooleanArray( c.data ) ) {
-		c = boolean2uint8( c );
-	}
-
 	// Check for known array types which can be reinterpreted for better iteration performance...
 	if ( isBooleanArray( x.data ) && isBooleanArray( y.data ) && isBooleanArray( o.data ) ) { // eslint-disable-line max-len
 		x = boolean2uint8( x );
 		y = boolean2uint8( y );
 		o = boolean2uint8( o );
+
+		if ( isBooleanArray( c.data ) ) {
+			c = boolean2uint8( c );
+		}
 	} else if ( isComplexArray( x.data ) && isComplexArray( y.data ) && isComplexArray( o.data ) ) { // eslint-disable-line max-len
 		x = complex2real( x );
 		y = complex2real( y );
@@ -364,6 +363,10 @@ function where( arrays ) { // eslint-disable-line max-statements
 
 		c.shape.push( 2 ); // real and imaginary components
 		c.strides.push( 0 ); // broadcast
+
+		if ( isBooleanArray( c.data ) ) {
+			c = boolean2uint8( c );
+		}
 	}
 	// Determine whether we are casting a real data type to a complex data type and we need to use a specialized accessor (note: we don't support the other way, complex-to-real, as this is not an allowed (mostly) safe cast; note: we cannot create a specialized view for assigning only real components, as the imaginary component for each element in `y` also needs to be set to zero and while we could perform two passes, it's not clear it's worth the effort)...
 	else if ( isComplexDataType( o.dtype ) ) {