diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/README.md b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/README.md
new file mode 100644
index 000000000000..295998b725f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/README.md
@@ -0,0 +1,173 @@
+<!--
+
+@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.
+
+-->
+
+# assignScalar
+
+> Assign a scalar value to every element of an output [ndarray][@stdlib/ndarray/base/ctor].
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var assignScalar = require( '@stdlib/ndarray/base/assign-scalar' );
+```
+
+#### assignScalar( arrays )
+
+Assigns a scalar value to every element of an output [ndarray][@stdlib/ndarray/base/ctor].
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Create a zero-dimensional ndarray containing the scalar value:
+var x = scalar2ndarray( 5.0, {
+    'dtype': 'float64'
+});
+
+// Create a data buffer:
+var ybuf = new Float64Array( 6 );
+
+// Define the shape of the output array:
+var shape = [ 3, 1, 2 ];
+
+// Define the array strides:
+var sy = [ 2, 2, 1 ];
+
+// Define the index offset:
+var oy = 0;
+
+// Create the output ndarray-like object:
+var y = {
+    'dtype': 'float64',
+    'data': ybuf,
+    'shape': shape,
+    'strides': sy,
+    'offset': oy,
+    'order': 'row-major'
+};
+
+// Assign the scalar value:
+assignScalar( [ x, y ] );
+
+console.log( y.data );
+// => <Float64Array>[ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ]
+```
+
+The function accepts the following arguments:
+
+-   **arrays**: array-like object containing a zero-dimensional input [ndarray][@stdlib/ndarray/base/ctor] and an output [ndarray][@stdlib/ndarray/base/ctor].
+
+Each provided [ndarray][@stdlib/ndarray/base/ctor] should be an object with the following properties:
+
+-   **dtype**: data type.
+-   **data**: data buffer.
+-   **shape**: dimensions.
+-   **strides**: stride lengths.
+-   **offset**: index offset.
+-   **order**: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before performing the operation in order to achieve better performance.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var filledarray = require( '@stdlib/array/filled' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var assignScalar = require( '@stdlib/ndarray/base/assign-scalar' );
+
+var x = scalar2ndarray( 10.0, {
+    'dtype': 'generic'
+});
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+
+var y = {
+    'dtype': 'generic',
+    'data': filledarray( 0, 10, 'generic' ),
+    'shape': [ 5, 2 ],
+    'strides': [ 2, 1 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+
+assignScalar( [ x, y ] );
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
+<!-- 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">
+
+[@stdlib/ndarray/base/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ctor
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_blocked_columnmajor.js
new file mode 100644
index 000000000000..9c228cef9659
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_blocked_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/10d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/10.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 9 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_blocked_rowmajor.js
new file mode 100644
index 000000000000..3b77bae66878
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_blocked_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/10d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/10.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 9 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_columnmajor.js
new file mode 100644
index 000000000000..8e43383c4eea
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/10d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/10.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 9 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_rowmajor.js
new file mode 100644
index 000000000000..bda8225eb29c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.10d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/10d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/10.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 9 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.11d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.11d_columnmajor.js
new file mode 100644
index 000000000000..55a07c367ce8
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.11d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/11.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 10 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.11d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.11d_rowmajor.js
new file mode 100644
index 000000000000..9c38dd55c81e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.11d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/nd.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/11.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 10 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.1d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.1d_columnmajor.js
new file mode 100644
index 000000000000..d742352f7bf1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.1d_columnmajor.js
@@ -0,0 +1,134 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( [ x, y ] );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.1d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.1d_rowmajor.js
new file mode 100644
index 000000000000..8d6671e3accd
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.1d_rowmajor.js
@@ -0,0 +1,134 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib' );
+
+
+// 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 - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( [ x, y ] );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_blocked_columnmajor.js
new file mode 100644
index 000000000000..5f5f109ba9c1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_blocked_columnmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_blocked_rowmajor.js
new file mode 100644
index 000000000000..9f322e61c151
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_blocked_rowmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/2d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_columnmajor.js
new file mode 100644
index 000000000000..c15dae8b042d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_columnmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = 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 - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor.js
new file mode 100644
index 000000000000..534a975fe112
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = 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 - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor_accessors.js
new file mode 100644
index 000000000000..70b175a97a62
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor_accessors.js
@@ -0,0 +1,174 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/2d_accessors.js' );
+
+
+// VARIABLES //
+
+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} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'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 ]
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor_accessors_complex.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor_accessors_complex.js
new file mode 100644
index 000000000000..543a880b726d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.2d_rowmajor_accessors_complex.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 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 ctors = require( '@stdlib/array/typed-complex-ctors' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/2d_accessors.js' );
+
+
+// VARIABLES //
+
+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} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var xbuf;
+	var ybuf;
+	var x;
+	var y;
+
+	xbuf = filledarray( 10.0, 2, abtype[ xtype ] );
+	ybuf = filledarray( 0.0, len*2, abtype[ ytype ] );
+	x = {
+		'dtype': xtype,
+		'data': new ( ctors( xtype ) )( xbuf.buffer ),
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	y = {
+		'dtype': ytype,
+		'data': new ( ctors( ytype ) )( ybuf.buffer ),
+		'shape': shape,
+		'strides': shape2strides( shape, order ),
+		'offset': 0,
+		'order': order,
+		'accessorProtocol': true,
+		'accessors': [ get, set ]
+	};
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			assignScalar( x, y );
+			if ( isnan( ybuf[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( ybuf[ 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 = 5; // 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( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( sqrt( len ) );
+			sh = [ len, len ];
+			len *= len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::accessors:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_blocked_columnmajor.js
new file mode 100644
index 000000000000..47843d6e9dfb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_blocked_columnmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 cbrt = require( '@stdlib/math/base/special/cbrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( cbrt( len ) );
+			sh = [ len, len, len ];
+			len *= len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_blocked_rowmajor.js
new file mode 100644
index 000000000000..78a862ea7f8a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_blocked_rowmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 cbrt = require( '@stdlib/math/base/special/cbrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/3d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( cbrt( len ) );
+			sh = [ len, len, len ];
+			len *= len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_columnmajor.js
new file mode 100644
index 000000000000..da98b577d065
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_columnmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 cbrt = require( '@stdlib/math/base/special/cbrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/3d.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 - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( cbrt( len ) );
+			sh = [ len, len, len ];
+			len *= len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_rowmajor.js
new file mode 100644
index 000000000000..5d3895066ade
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.3d_rowmajor.js
@@ -0,0 +1,146 @@
+/**
+* @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 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 cbrt = require( '@stdlib/math/base/special/cbrt' );
+var filledarray = require( '@stdlib/array/filled' );
+var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/3d.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 - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( cbrt( len ) );
+			sh = [ len, len, len ];
+			len *= len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_blocked_columnmajor.js
new file mode 100644
index 000000000000..2c451d6c3c29
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_blocked_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/4d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/4.0 ) );
+			sh = [ len, len, len, len ];
+			len *= len * len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_blocked_rowmajor.js
new file mode 100644
index 000000000000..7d9e1414f931
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_blocked_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/4d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/4.0 ) );
+			sh = [ len, len, len, len ];
+			len *= len * len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_columnmajor.js
new file mode 100644
index 000000000000..a20b9237d5ab
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/4d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/4.0 ) );
+			sh = [ len, len, len, len ];
+			len *= len * len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_rowmajor.js
new file mode 100644
index 000000000000..139186e2fb8d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.4d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/4d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/4.0 ) );
+			sh = [ len, len, len, len ];
+			len *= len * len * len;
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_blocked_columnmajor.js
new file mode 100644
index 000000000000..e2bc2b67d417
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_blocked_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/5d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/5.0 ) );
+			sh = [ len, len, len, len, len ];
+			len *= pow( len, 4 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_blocked_rowmajor.js
new file mode 100644
index 000000000000..245bd03b5ab7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_blocked_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/5d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/5.0 ) );
+			sh = [ len, len, len, len, len ];
+			len *= pow( len, 4 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_columnmajor.js
new file mode 100644
index 000000000000..72eb50dc31eb
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/5d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/5.0 ) );
+			sh = [ len, len, len, len, len ];
+			len *= pow( len, 4 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_rowmajor.js
new file mode 100644
index 000000000000..e9930c2b6c91
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.5d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/5d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/5.0 ) );
+			sh = [ len, len, len, len, len ];
+			len *= pow( len, 4 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_blocked_columnmajor.js
new file mode 100644
index 000000000000..fe15cb8f2344
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_blocked_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/6d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/6.0 ) );
+			sh = [ len, len, len, len, len, len ];
+			len *= pow( len, 5 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_blocked_rowmajor.js
new file mode 100644
index 000000000000..b9634cdda249
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_blocked_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/6d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/6.0 ) );
+			sh = [ len, len, len, len, len, len ];
+			len *= pow( len, 5 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_columnmajor.js
new file mode 100644
index 000000000000..d033f6e17738
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/6d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/6.0 ) );
+			sh = [ len, len, len, len, len, len ];
+			len *= pow( len, 5 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_rowmajor.js
new file mode 100644
index 000000000000..75089b10fb9b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.6d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/6d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/6.0 ) );
+			sh = [ len, len, len, len, len, len ];
+			len *= pow( len, 5 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_blocked_columnmajor.js
new file mode 100644
index 000000000000..6698447da16c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_blocked_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/7d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/7.0 ) );
+			sh = [ len, len, len, len, len, len, len ];
+			len *= pow( len, 6 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_blocked_rowmajor.js
new file mode 100644
index 000000000000..43b1b64a9ac8
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_blocked_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/7d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/7.0 ) );
+			sh = [ len, len, len, len, len, len, len ];
+			len *= pow( len, 6 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_columnmajor.js
new file mode 100644
index 000000000000..f8f436a00a43
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/7d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/7.0 ) );
+			sh = [ len, len, len, len, len, len, len ];
+			len *= pow( len, 6 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_rowmajor.js
new file mode 100644
index 000000000000..c0d030f03862
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.7d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/7d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/7.0 ) );
+			sh = [ len, len, len, len, len, len, len ];
+			len *= pow( len, 6 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_blocked_columnmajor.js
new file mode 100644
index 000000000000..23b43dda0d1b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_blocked_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/8d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/8.0 ) );
+			sh = [ len, len, len, len, len, len, len, len ];
+			len *= pow( len, 7 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_blocked_rowmajor.js
new file mode 100644
index 000000000000..0d01971bb9e9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_blocked_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/8d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/8.0 ) );
+			sh = [ len, len, len, len, len, len, len, len ];
+			len *= pow( len, 7 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_columnmajor.js
new file mode 100644
index 000000000000..b47fc11fb084
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/8d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/8.0 ) );
+			sh = [ len, len, len, len, len, len, len, len ];
+			len *= pow( len, 7 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_rowmajor.js
new file mode 100644
index 000000000000..62acf986a619
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.8d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/8d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/8.0 ) );
+			sh = [ len, len, len, len, len, len, len, len ];
+			len *= pow( len, 7 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_blocked_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_blocked_columnmajor.js
new file mode 100644
index 000000000000..2d805c5d63f1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_blocked_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/9d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/9.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 8 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_blocked_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_blocked_rowmajor.js
new file mode 100644
index 000000000000..5f669af6ac67
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_blocked_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/9d_blocked.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/9.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 8 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s::blocked:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_columnmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_columnmajor.js
new file mode 100644
index 000000000000..970f547d70d4
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_columnmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/9d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'column-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/9.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 8 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_rowmajor.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_rowmajor.js
new file mode 100644
index 000000000000..601a4321f97d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/benchmark/benchmark.9d_rowmajor.js
@@ -0,0 +1,145 @@
+/**
+* @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 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 shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var assignScalar = require( './../lib/9d.js' );
+
+
+// VARIABLES //
+
+var types = [ 'float64' ];
+var order = 'row-major';
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @param {NonNegativeIntegerArray} shape - ndarray shape
+* @param {string} xtype - input ndarray data type
+* @param {string} ytype - output ndarray data type
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len, shape, xtype, ytype ) {
+	var x;
+	var y;
+
+	y = filledarray( 0.0, len, ytype );
+	x = {
+		'dtype': xtype,
+		'data': [ 10.0 ],
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': 0,
+		'order': order
+	};
+	y = {
+		'dtype': ytype,
+		'data': y,
+		'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++ ) {
+			assignScalar( x, y );
+			if ( isnan( y.data[ i%len ] ) ) {
+				b.fail( 'should not return NaN' );
+			}
+		}
+		b.toc();
+		if ( isnan( y.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, 1, 1, 1, 1, 1, 1, 1 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			sh = [ 1, 1, 1, 1, 1, 1, 1, 2, len/2 ];
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+
+			len = floor( pow( len, 1.0/9.0 ) );
+			sh = [ len, len, len, len, len, len, len, len, len ];
+			len *= pow( len, 8 );
+			f = createBenchmark( len, sh, t1, t2 );
+			bench( format( '%s:ndims=%d,len=%d,shape=[%s],xorder=%s,yorder=%s,xtype=%s,ytype=%s', pkg, sh.length, len, sh.join( ',' ), order, order, t1, t2 ), f );
+		}
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/repl.txt
new file mode 100644
index 000000000000..dcc976bea72e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/repl.txt
@@ -0,0 +1,62 @@
+
+{{alias}}( arrays )
+    Assigns a scalar value to every element of 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 a zero-dimensional input ndarray and one
+        output ndarray.
+
+    Examples
+    --------
+    // Define ndarray data and meta data...
+    > var xbuf = new {{alias:@stdlib/array/float64}}( [ 5.0 ] );
+    > var ybuf = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+    > var dtype = 'float64';
+    > var shape = [ 2, 2 ];
+    > var sy = [ 2, 1 ];
+    > var oy = 0;
+    > var order = 'row-major';
+
+    // Using ndarrays...
+    > var x = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': dtype } );
+    > var y = {{alias:@stdlib/ndarray/ctor}}( dtype, ybuf, shape, sy, oy, order );
+    > {{alias}}( [ x, y ] );
+    > y.data
+    <Float64Array>[ 5.0, 5.0, 5.0, 5.0 ]
+
+    // Using minimal ndarray-like objects...
+    > x = {
+    ...     'dtype': dtype,
+    ...     'data': xbuf,
+    ...     'shape': [],
+    ...     'strides': [ 0 ],
+    ...     'offset': 0,
+    ...     'order': order
+    ... };
+    > y = {
+    ...     'dtype': dtype,
+    ...     'data': ybuf,
+    ...     'shape': shape,
+    ...     'strides': sy,
+    ...     'offset': oy,
+    ...     'order': order
+    ... };
+    > {{alias}}( [ x, y ] );
+    > y.data
+    <Float64Array>[ 5.0, 5.0, 5.0, 5.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/types/index.d.ts
new file mode 100644
index 000000000000..1c2e2ead1c68
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/types/index.d.ts
@@ -0,0 +1,67 @@
+/*
+* @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';
+
+/**
+* Assigns a scalar value to every element of an output ndarray.
+*
+* @param arrays - array-like object containing a zero-dimensional input ndarray and one output ndarray
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/ctor' );
+*
+* // Create a zero-dimensional ndarray containing the scalar value:
+* var x = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* // Create a data buffer:
+* var ybuf = new Float64Array( 4 );
+*
+* // Define the shape of the output array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sy = [ 2, 1 ];
+*
+* // Define the index offset:
+* var oy = 0;
+*
+* // Create the output ndarray:
+* var y = ndarray( 'float64', ybuf, shape, sy, oy, 'row-major' );
+*
+* // Assign the scalar value:
+* assignScalar( [ x, y ] );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 5.0, 5.0, 5.0, 5.0 ]
+*/
+declare function assignScalar( arrays: ArrayLike<ndarray> ): void;
+
+
+// EXPORTS //
+
+export = assignScalar;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/types/test.ts
new file mode 100644
index 000000000000..7e4286217ec9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/docs/types/test.ts
@@ -0,0 +1,56 @@
+/*
+* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import assignScalar = require( './index' );
+
+
+// TESTS //
+
+// The function returns `undefined`...
+{
+	const x = scalar2ndarray( 5.0, { 'dtype': 'float64' } );
+	const y = zeros( [ 2, 2 ] );
+	const arrays = [ x, y ];
+
+	assignScalar( 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...
+{
+	assignScalar( '5' ); // $ExpectError
+	assignScalar( 5 ); // $ExpectError
+	assignScalar( true ); // $ExpectError
+	assignScalar( false ); // $ExpectError
+	assignScalar( null ); // $ExpectError
+	assignScalar( undefined ); // $ExpectError
+	assignScalar( {} ); // $ExpectError
+	assignScalar( [ 1 ] ); // $ExpectError
+	assignScalar( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = scalar2ndarray( 5.0, { 'dtype': 'float64' } );
+	const y = zeros( [ 2, 2 ] );
+	const arrays = [ x, y ];
+
+	assignScalar(); // $ExpectError
+	assignScalar( arrays, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/examples/index.js
new file mode 100644
index 000000000000..64cfe873ba7a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/examples/index.js
@@ -0,0 +1,42 @@
+/**
+* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var filledarray = require( '@stdlib/array/filled' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var assignScalar = require( './../lib' );
+
+var x = scalar2ndarray( 10.0, {
+	'dtype': 'generic'
+});
+console.log( x.data );
+
+var y = {
+	'dtype': 'generic',
+	'data': filledarray( 0.0, 10, 'generic' ),
+	'shape': [ 5, 2 ],
+	'strides': [ 2, 1 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
+
+assignScalar( [ x, y ] );
+console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/0d.js
new file mode 100644
index 000000000000..3a29b924a8ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/0d.js
@@ -0,0 +1,92 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a zero-dimensional output ndarray.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 1 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign0d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0 ]
+*/
+function assign0d( x, y ) {
+	y.data[ y.offset ] = x.data[ x.offset ];
+}
+
+
+// EXPORTS //
+
+module.exports = assign0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/0d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/0d_accessors.js
new file mode 100644
index 000000000000..b2fc5b680a24
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/0d_accessors.js
@@ -0,0 +1,113 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a zero-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 3.0, 4.0 ] );
+* var ybuf = new Complex64Array( 1 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 0 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 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 ]
+* };
+*
+* // Assign scalar:
+* assign0d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 3.0
+*
+* var im = imagf( v );
+* // returns 4.0
+*/
+function assign0d( x, y ) {
+	y.accessors[ 1 ]( y.data, y.offset, x.accessors[ 0 ]( x.data, x.offset ) );
+}
+
+
+// EXPORTS //
+
+module.exports = assign0d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d.js
new file mode 100644
index 000000000000..a405b0543d3b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d.js
@@ -0,0 +1,221 @@
+/**
+* @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-statements */
+
+'use strict';
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a ten-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign10d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign10d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var S9;
+	var sy;
+	var ix;
+	var iy;
+	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#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.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++ ) {
+											ybuf[ iy ] = xbuf[ ix ];
+											iy += dy0;
+										}
+										iy += dy1;
+									}
+									iy += dy2;
+								}
+								iy += dy3;
+							}
+							iy += dy4;
+						}
+						iy += dy5;
+					}
+					iy += dy6;
+				}
+				iy += dy7;
+			}
+			iy += dy8;
+		}
+		iy += dy9;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_accessors.js
new file mode 100644
index 000000000000..08c0b2b8fd23
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_accessors.js
@@ -0,0 +1,248 @@
+/**
+* @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-statements */
+
+'use strict';
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a ten-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign10d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign10d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var S9;
+	var sy;
+	var ix;
+	var iy;
+	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#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+											set( ybuf, iy, get( xbuf, ix ) );
+											iy += dy0;
+										}
+										iy += dy1;
+									}
+									iy += dy2;
+								}
+								iy += dy3;
+							}
+							iy += dy4;
+						}
+						iy += dy5;
+					}
+					iy += dy6;
+				}
+				iy += dy7;
+			}
+			iy += dy8;
+		}
+		iy += dy9;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_blocked.js
new file mode 100644
index 000000000000..762cf1dbf04b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_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, max-len */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a ten-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign10d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign10d( x, y ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var oy9;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var s9;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j9 = sh[9]; j9 > 0; ) {
+		if ( j9 < bsize ) {
+			s9 = j9;
+			j9 = 0;
+		} else {
+			s9 = bsize;
+			j9 -= bsize;
+		}
+		oy9 = oy + ( j9*sy[9] );
+		for ( j8 = sh[8]; j8 > 0; ) {
+			if ( j8 < bsize ) {
+				s8 = j8;
+				j8 = 0;
+			} else {
+				s8 = bsize;
+				j8 -= bsize;
+			}
+			dy9 = sy[9] - ( s8*sy[8] );
+			oy8 = oy9 + ( j8*sy[8] );
+			for ( j7 = sh[7]; j7 > 0; ) {
+				if ( j7 < bsize ) {
+					s7 = j7;
+					j7 = 0;
+				} else {
+					s7 = bsize;
+					j7 -= bsize;
+				}
+				dy8 = sy[8] - ( s7*sy[7] );
+				oy7 = oy8 + ( j7*sy[7] );
+				for ( j6 = sh[6]; j6 > 0; ) {
+					if ( j6 < bsize ) {
+						s6 = j6;
+						j6 = 0;
+					} else {
+						s6 = bsize;
+						j6 -= bsize;
+					}
+					dy7 = sy[7] - ( s6*sy[6] );
+					oy6 = oy7 + ( j6*sy[6] );
+					for ( j5 = sh[5]; j5 > 0; ) {
+						if ( j5 < bsize ) {
+							s5 = j5;
+							j5 = 0;
+						} else {
+							s5 = bsize;
+							j5 -= bsize;
+						}
+						dy6 = sy[6] - ( s5*sy[5] );
+						oy5 = oy6 + ( j5*sy[5] );
+						for ( j4 = sh[4]; j4 > 0; ) {
+							if ( j4 < bsize ) {
+								s4 = j4;
+								j4 = 0;
+							} else {
+								s4 = bsize;
+								j4 -= bsize;
+							}
+							dy5 = sy[5] - ( s4*sy[4] );
+							oy4 = oy5 + ( j4*sy[4] );
+							for ( j3 = sh[3]; j3 > 0; ) {
+								if ( j3 < bsize ) {
+									s3 = j3;
+									j3 = 0;
+								} else {
+									s3 = bsize;
+									j3 -= bsize;
+								}
+								dy4 = sy[4] - ( s3*sy[3] );
+								oy3 = oy4 + ( j3*sy[3] );
+								for ( j2 = sh[2]; j2 > 0; ) {
+									if ( j2 < bsize ) {
+										s2 = j2;
+										j2 = 0;
+									} else {
+										s2 = bsize;
+										j2 -= bsize;
+									}
+									dy3 = sy[3] - ( s2*sy[2] );
+									oy2 = oy3 + ( j2*sy[2] );
+									for ( j1 = sh[1]; j1 > 0; ) {
+										if ( j1 < bsize ) {
+											s1 = j1;
+											j1 = 0;
+										} else {
+											s1 = bsize;
+											j1 -= bsize;
+										}
+										dy2 = sy[2] - ( s1*sy[1] );
+										oy1 = oy2 + ( j1*sy[1] );
+										for ( j0 = sh[0]; j0 > 0; ) {
+											if ( j0 < bsize ) {
+												s0 = j0;
+												j0 = 0;
+											} else {
+												s0 = bsize;
+												j0 -= bsize;
+											}
+											// Compute the index offset for the first output ndarray element in the current block...
+											iy = oy1 + ( j0*sy[0] );
+
+											// Compute the loop offset increment...
+											dy1 = sy[1] - ( s0*sy[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++ ) {
+																					ybuf[ iy ] = xbuf[ ix ];
+																					iy += dy0;
+																				}
+																				iy += dy1;
+																			}
+																			iy += dy2;
+																		}
+																		iy += dy3;
+																	}
+																	iy += dy4;
+																}
+																iy += dy5;
+															}
+															iy += dy6;
+														}
+														iy += dy7;
+													}
+													iy += dy8;
+												}
+												iy += dy9;
+											}
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_blocked_accessors.js
new file mode 100644
index 000000000000..1b756ff47051
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/10d_blocked_accessors.js
@@ -0,0 +1,352 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a ten-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* blockedassign10d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign10d( x, y ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var dy9;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var oy9;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var s9;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j9 = sh[9]; j9 > 0; ) {
+		if ( j9 < bsize ) {
+			s9 = j9;
+			j9 = 0;
+		} else {
+			s9 = bsize;
+			j9 -= bsize;
+		}
+		oy9 = oy + ( j9*sy[9] );
+		for ( j8 = sh[8]; j8 > 0; ) {
+			if ( j8 < bsize ) {
+				s8 = j8;
+				j8 = 0;
+			} else {
+				s8 = bsize;
+				j8 -= bsize;
+			}
+			dy9 = sy[9] - ( s8*sy[8] );
+			oy8 = oy9 + ( j8*sy[8] );
+			for ( j7 = sh[7]; j7 > 0; ) {
+				if ( j7 < bsize ) {
+					s7 = j7;
+					j7 = 0;
+				} else {
+					s7 = bsize;
+					j7 -= bsize;
+				}
+				dy8 = sy[8] - ( s7*sy[7] );
+				oy7 = oy8 + ( j7*sy[7] );
+				for ( j6 = sh[6]; j6 > 0; ) {
+					if ( j6 < bsize ) {
+						s6 = j6;
+						j6 = 0;
+					} else {
+						s6 = bsize;
+						j6 -= bsize;
+					}
+					dy7 = sy[7] - ( s6*sy[6] );
+					oy6 = oy7 + ( j6*sy[6] );
+					for ( j5 = sh[5]; j5 > 0; ) {
+						if ( j5 < bsize ) {
+							s5 = j5;
+							j5 = 0;
+						} else {
+							s5 = bsize;
+							j5 -= bsize;
+						}
+						dy6 = sy[6] - ( s5*sy[5] );
+						oy5 = oy6 + ( j5*sy[5] );
+						for ( j4 = sh[4]; j4 > 0; ) {
+							if ( j4 < bsize ) {
+								s4 = j4;
+								j4 = 0;
+							} else {
+								s4 = bsize;
+								j4 -= bsize;
+							}
+							dy5 = sy[5] - ( s4*sy[4] );
+							oy4 = oy5 + ( j4*sy[4] );
+							for ( j3 = sh[3]; j3 > 0; ) {
+								if ( j3 < bsize ) {
+									s3 = j3;
+									j3 = 0;
+								} else {
+									s3 = bsize;
+									j3 -= bsize;
+								}
+								dy4 = sy[4] - ( s3*sy[3] );
+								oy3 = oy4 + ( j3*sy[3] );
+								for ( j2 = sh[2]; j2 > 0; ) {
+									if ( j2 < bsize ) {
+										s2 = j2;
+										j2 = 0;
+									} else {
+										s2 = bsize;
+										j2 -= bsize;
+									}
+									dy3 = sy[3] - ( s2*sy[2] );
+									oy2 = oy3 + ( j2*sy[2] );
+									for ( j1 = sh[1]; j1 > 0; ) {
+										if ( j1 < bsize ) {
+											s1 = j1;
+											j1 = 0;
+										} else {
+											s1 = bsize;
+											j1 -= bsize;
+										}
+										dy2 = sy[2] - ( s1*sy[1] );
+										oy1 = oy2 + ( j1*sy[1] );
+										for ( j0 = sh[0]; j0 > 0; ) {
+											if ( j0 < bsize ) {
+												s0 = j0;
+												j0 = 0;
+											} else {
+												s0 = bsize;
+												j0 -= bsize;
+											}
+											// Compute the index offset for the first output ndarray element in the current block...
+											iy = oy1 + ( j0*sy[0] );
+
+											// Compute the loop offset increment...
+											dy1 = sy[1] - ( s0*sy[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++ ) {
+																					set( ybuf, iy, get( xbuf, ix ) );
+																					iy += dy0;
+																				}
+																				iy += dy1;
+																			}
+																			iy += dy2;
+																		}
+																		iy += dy3;
+																	}
+																	iy += dy4;
+																}
+																iy += dy5;
+															}
+															iy += dy6;
+														}
+														iy += dy7;
+													}
+													iy += dy8;
+												}
+												iy += dy9;
+											}
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign10d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/1d.js
new file mode 100644
index 000000000000..8666835c8591
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/1d.js
@@ -0,0 +1,118 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a one-dimensional output ndarray.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 6 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign1d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign1d( x, y ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var S0;
+	var ix;
+	var iy;
+	var i0;
+
+	// Note on variable naming convention: S#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables: dimensions and loop offset (pointer) increments...
+	S0 = y.shape[ 0 ];
+	dy0 = y.strides[ 0 ];
+
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		ybuf[ iy ] = xbuf[ ix ];
+		iy += dy0;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/1d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/1d_accessors.js
new file mode 100644
index 000000000000..f67844523203
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/1d_accessors.js
@@ -0,0 +1,145 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a one-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 1.0, 2.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the output array:
+* var shape = [ 4 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign1d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign1d( x, y ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var S0;
+	var ix;
+	var iy;
+	var i0;
+
+	// Note on variable naming convention: S#, dy#, i# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Extract loop variables: dimensions and loop offset (pointer) increments...
+	S0 = y.shape[ 0 ];
+	dy0 = y.strides[ 0 ];
+
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[ 0 ];
+	set = y.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		set( ybuf, iy, get( xbuf, ix ) );
+		iy += dy0;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign1d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d.js
new file mode 100644
index 000000000000..585e58d51713
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d.js
@@ -0,0 +1,139 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a two-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign2d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign2d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var sh;
+	var S0;
+	var S1;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 1 ];
+		S1 = sh[ 0 ];
+		dy0 = sy[ 1 ];
+		dy1 = sy[ 0 ] - ( S0*sy[1] );
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			ybuf[ iy ] = xbuf[ ix ];
+			iy += dy0;
+		}
+		iy += dy1;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_accessors.js
new file mode 100644
index 000000000000..e9fed639a1f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_accessors.js
@@ -0,0 +1,166 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a two-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 1.0, 2.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the output array:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign2d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign2d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var sh;
+	var S0;
+	var S1;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 1 ];
+		S1 = sh[ 0 ];
+		dy0 = sy[ 1 ];
+		dy1 = sy[ 0 ] - ( S0*sy[1] );
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = sh[ 0 ];
+		S1 = sh[ 1 ];
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[ 0 ];
+	set = y.accessors[ 1 ];
+
+	// Iterate over the ndarray dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			set( ybuf, iy, get( xbuf, ix ) );
+			iy += dy0;
+		}
+		iy += dy1;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_blocked.js
new file mode 100644
index 000000000000..3b27f5fe1e71
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_blocked.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 loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a two-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign2d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign2d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var oy1;
+	var sh;
+	var s0;
+	var s1;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var o;
+
+	// Note on variable naming convention: s#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j1 = sh[1]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		oy1 = oy + ( j1*sy[1] );
+		for ( j0 = sh[0]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute the index offset for the first output ndarray element in the current block...
+			iy = oy1 + ( j0*sy[0] );
+
+			// Compute the loop offset increment...
+			dy1 = sy[1] - ( s0*sy[0] );
+
+			// Iterate over the ndarray dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					ybuf[ iy ] = xbuf[ ix ];
+					iy += dy0;
+				}
+				iy += dy1;
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_blocked_accessors.js
new file mode 100644
index 000000000000..3d80d5ef0049
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/2d_blocked_accessors.js
@@ -0,0 +1,198 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a two-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
+* var ybuf = new Complex64Array( 4 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 1 ];
+* var sy = [ 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 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 ]
+* };
+*
+* // Copy elements:
+* blockedassign2d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 1.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign2d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var oy1;
+	var sh;
+	var s0;
+	var s1;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var o;
+
+	// Note on variable naming convention: s#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j1 = sh[1]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		oy1 = oy + ( j1*sy[1] );
+		for ( j0 = sh[0]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute the index offset for the first output ndarray element in the current block...
+			iy = oy1 + ( j0*sy[0] );
+
+			// Compute the loop offset increment...
+			dy1 = sy[1] - ( s0*sy[0] );
+
+			// Iterate over the ndarray dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					set( ybuf, iy, get( xbuf, ix ) );
+					iy += dy0;
+				}
+				iy += dy1;
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign2d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d.js
new file mode 100644
index 000000000000..50b64e00e4e6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d.js
@@ -0,0 +1,149 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a three-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign3d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign3d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 2 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 0 ];
+		dy0 = sy[ 2 ];
+		dy1 = sy[ 1 ] - ( S0*sy[2] );
+		dy2 = sy[ 0 ] - ( S1*sy[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 ];
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Iterate over the ndarray dimensions...
+	for ( i2 = 0; i2 < S2; i2++ ) {
+		for ( i1 = 0; i1 < S1; i1++ ) {
+			for ( i0 = 0; i0 < S0; i0++ ) {
+				ybuf[ iy ] = xbuf[ ix ];
+				iy += dy0;
+			}
+			iy += dy1;
+		}
+		iy += dy2;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_accessors.js
new file mode 100644
index 000000000000..1157a487bb92
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_accessors.js
@@ -0,0 +1,176 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a three-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign3d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign3d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.strides;
+	if ( isRowMajor ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = sh[ 2 ];
+		S1 = sh[ 1 ];
+		S2 = sh[ 0 ];
+		dy0 = sy[ 2 ];
+		dy1 = sy[ 1 ] - ( S0*sy[2] );
+		dy2 = sy[ 0 ] - ( S1*sy[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 ];
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[ 0 ];
+	set = y.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++ ) {
+				set( ybuf, iy, get( xbuf, ix ) );
+				iy += dy0;
+			}
+			iy += dy1;
+		}
+		iy += dy2;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_blocked.js
new file mode 100644
index 000000000000..04eda54aa149
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_blocked.js
@@ -0,0 +1,192 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a three-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign3d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign3d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var oy1;
+	var oy2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var o;
+
+	// Note on variable naming convention: s#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		oy2 = oy + ( j2*sy[2] );
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			dy2 = sy[2] - ( s1*sy[1] );
+			oy1 = oy2 + ( j1*sy[1] );
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute the index offset for the first output ndarray element in the current block...
+				iy = oy1 + ( j0*sy[0] );
+
+				// Compute the loop offset increment...
+				dy1 = sy[1] - ( s0*sy[0] );
+
+				// Iterate over the ndarray dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							ybuf[ iy ] = xbuf[ ix ];
+							iy += dy0;
+						}
+						iy += dy1;
+					}
+					iy += dy2;
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_blocked_accessors.js
new file mode 100644
index 000000000000..9d5dccc1579a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/3d_blocked_accessors.js
@@ -0,0 +1,219 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a three-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the input and output arrays:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Copy elements:
+* blockedassign3d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign3d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var oy1;
+	var oy2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var o;
+
+	// Note on variable naming convention: s#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		oy2 = oy + ( j2*sy[2] );
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			dy2 = sy[2] - ( s1*sy[1] );
+			oy1 = oy2 + ( j1*sy[1] );
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute the index offset for the first output ndarray element in the current block...
+				iy = oy1 + ( j0*sy[0] );
+
+				// Compute the loop offset increment...
+				dy1 = sy[1] - ( s0*sy[0] );
+
+				// Iterate over the ndarray dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							set( ybuf, iy, get( xbuf, ix ) );
+							iy += dy0;
+						}
+						iy += dy1;
+					}
+					iy += dy2;
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign3d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d.js
new file mode 100644
index 000000000000..60f14a631a8f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d.js
@@ -0,0 +1,159 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a four-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign4d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign4d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		dy0 = sy[ 3 ];
+		dy1 = sy[ 2 ] - ( S0*sy[3] );
+		dy2 = sy[ 1 ] - ( S1*sy[2] );
+		dy3 = sy[ 0 ] - ( S2*sy[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 ];
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.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++ ) {
+					ybuf[ iy ] = xbuf[ ix ];
+					iy += dy0;
+				}
+				iy += dy1;
+			}
+			iy += dy2;
+		}
+		iy += dy3;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_accessors.js
new file mode 100644
index 000000000000..07d7a2e04bb6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_accessors.js
@@ -0,0 +1,186 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a four-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign4d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign4d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		dy0 = sy[ 3 ];
+		dy1 = sy[ 2 ] - ( S0*sy[3] );
+		dy2 = sy[ 1 ] - ( S1*sy[2] );
+		dy3 = sy[ 0 ] - ( S2*sy[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 ];
+		dy0 = sy[ 0 ];
+		dy1 = sy[ 1 ] - ( S0*sy[0] );
+		dy2 = sy[ 2 ] - ( S1*sy[1] );
+		dy3 = sy[ 3 ] - ( S2*sy[2] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+					set( ybuf, iy, get( xbuf, ix ) );
+					iy += dy0;
+				}
+				iy += dy1;
+			}
+			iy += dy2;
+		}
+		iy += dy3;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_blocked.js
new file mode 100644
index 000000000000..3c68e156e078
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_blocked.js
@@ -0,0 +1,211 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a four-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign4d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign4d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var oy1;
+	var oy2;
+	var oy3;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var o;
+
+	// Note on variable naming convention: s#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j3 = sh[3]; j3 > 0; ) {
+		if ( j3 < bsize ) {
+			s3 = j3;
+			j3 = 0;
+		} else {
+			s3 = bsize;
+			j3 -= bsize;
+		}
+		oy3 = oy + ( j3*sy[3] );
+		for ( j2 = sh[2]; j2 > 0; ) {
+			if ( j2 < bsize ) {
+				s2 = j2;
+				j2 = 0;
+			} else {
+				s2 = bsize;
+				j2 -= bsize;
+			}
+			dy3 = sy[3] - ( s2*sy[2] );
+			oy2 = oy3 + ( j2*sy[2] );
+			for ( j1 = sh[1]; j1 > 0; ) {
+				if ( j1 < bsize ) {
+					s1 = j1;
+					j1 = 0;
+				} else {
+					s1 = bsize;
+					j1 -= bsize;
+				}
+				dy2 = sy[2] - ( s1*sy[1] );
+				oy1 = oy2 + ( j1*sy[1] );
+				for ( j0 = sh[0]; j0 > 0; ) {
+					if ( j0 < bsize ) {
+						s0 = j0;
+						j0 = 0;
+					} else {
+						s0 = bsize;
+						j0 -= bsize;
+					}
+					// Compute the index offset for the first output ndarray element in the current block...
+					iy = oy1 + ( j0*sy[0] );
+
+					// Compute the loop offset increment...
+					dy1 = sy[1] - ( s0*sy[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++ ) {
+									ybuf[ iy ] = xbuf[ ix ];
+									iy += dy0;
+								}
+								iy += dy1;
+							}
+							iy += dy2;
+						}
+						iy += dy3;
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_blocked_accessors.js
new file mode 100644
index 000000000000..3d47475350b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/4d_blocked_accessors.js
@@ -0,0 +1,238 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a four-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* blockedassign4d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign4d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var oy1;
+	var oy2;
+	var oy3;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var o;
+
+	// Note on variable naming convention: s#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j3 = sh[3]; j3 > 0; ) {
+		if ( j3 < bsize ) {
+			s3 = j3;
+			j3 = 0;
+		} else {
+			s3 = bsize;
+			j3 -= bsize;
+		}
+		oy3 = oy + ( j3*sy[3] );
+		for ( j2 = sh[2]; j2 > 0; ) {
+			if ( j2 < bsize ) {
+				s2 = j2;
+				j2 = 0;
+			} else {
+				s2 = bsize;
+				j2 -= bsize;
+			}
+			dy3 = sy[3] - ( s2*sy[2] );
+			oy2 = oy3 + ( j2*sy[2] );
+			for ( j1 = sh[1]; j1 > 0; ) {
+				if ( j1 < bsize ) {
+					s1 = j1;
+					j1 = 0;
+				} else {
+					s1 = bsize;
+					j1 -= bsize;
+				}
+				dy2 = sy[2] - ( s1*sy[1] );
+				oy1 = oy2 + ( j1*sy[1] );
+				for ( j0 = sh[0]; j0 > 0; ) {
+					if ( j0 < bsize ) {
+						s0 = j0;
+						j0 = 0;
+					} else {
+						s0 = bsize;
+						j0 -= bsize;
+					}
+					// Compute the index offset for the first output ndarray element in the current block...
+					iy = oy1 + ( j0*sy[0] );
+
+					// Compute the loop offset increment...
+					dy1 = sy[1] - ( s0*sy[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++ ) {
+									set( ybuf, iy, get( xbuf, ix ) );
+									iy += dy0;
+								}
+								iy += dy1;
+							}
+							iy += dy2;
+						}
+						iy += dy3;
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign4d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d.js
new file mode 100644
index 000000000000..bf3e34d0c396
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d.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';
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a five-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign5d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign5d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.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++ ) {
+						ybuf[ iy ] = xbuf[ ix ];
+						iy += dy0;
+					}
+					iy += dy1;
+				}
+				iy += dy2;
+			}
+			iy += dy3;
+		}
+		iy += dy4;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_accessors.js
new file mode 100644
index 000000000000..4b1efd900875
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_accessors.js
@@ -0,0 +1,196 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a five-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign5d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign5d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+						set( ybuf, iy, get( xbuf, ix ) );
+						iy += dy0;
+					}
+					iy += dy1;
+				}
+				iy += dy2;
+			}
+			iy += dy3;
+		}
+		iy += dy4;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_blocked.js
new file mode 100644
index 000000000000..62e81c45e202
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_blocked.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.
+*/
+
+/* eslint-disable max-depth */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a five-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign5d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign5d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j4 = sh[4]; j4 > 0; ) {
+		if ( j4 < bsize ) {
+			s4 = j4;
+			j4 = 0;
+		} else {
+			s4 = bsize;
+			j4 -= bsize;
+		}
+		oy4 = oy + ( j4*sy[4] );
+		for ( j3 = sh[3]; j3 > 0; ) {
+			if ( j3 < bsize ) {
+				s3 = j3;
+				j3 = 0;
+			} else {
+				s3 = bsize;
+				j3 -= bsize;
+			}
+			dy4 = sy[4] - ( s3*sy[3] );
+			oy3 = oy4 + ( j3*sy[3] );
+			for ( j2 = sh[2]; j2 > 0; ) {
+				if ( j2 < bsize ) {
+					s2 = j2;
+					j2 = 0;
+				} else {
+					s2 = bsize;
+					j2 -= bsize;
+				}
+				dy3 = sy[3] - ( s2*sy[2] );
+				oy2 = oy3 + ( j2*sy[2] );
+				for ( j1 = sh[1]; j1 > 0; ) {
+					if ( j1 < bsize ) {
+						s1 = j1;
+						j1 = 0;
+					} else {
+						s1 = bsize;
+						j1 -= bsize;
+					}
+					dy2 = sy[2] - ( s1*sy[1] );
+					oy1 = oy2 + ( j1*sy[1] );
+					for ( j0 = sh[0]; j0 > 0; ) {
+						if ( j0 < bsize ) {
+							s0 = j0;
+							j0 = 0;
+						} else {
+							s0 = bsize;
+							j0 -= bsize;
+						}
+						// Compute the index offset for the first output ndarray element in the current block...
+						iy = oy1 + ( j0*sy[0] );
+
+						// Compute the loop offset increment...
+						dy1 = sy[1] - ( s0*sy[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++ ) {
+											ybuf[ iy ] = xbuf[ ix ];
+											iy += dy0;
+										}
+										iy += dy1;
+									}
+									iy += dy2;
+								}
+								iy += dy3;
+							}
+							iy += dy4;
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_blocked_accessors.js
new file mode 100644
index 000000000000..21d382e217ce
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/5d_blocked_accessors.js
@@ -0,0 +1,257 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a five-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* blockedassign5d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign5d( x, y ) {
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j4 = sh[4]; j4 > 0; ) {
+		if ( j4 < bsize ) {
+			s4 = j4;
+			j4 = 0;
+		} else {
+			s4 = bsize;
+			j4 -= bsize;
+		}
+		oy4 = oy + ( j4*sy[4] );
+		for ( j3 = sh[3]; j3 > 0; ) {
+			if ( j3 < bsize ) {
+				s3 = j3;
+				j3 = 0;
+			} else {
+				s3 = bsize;
+				j3 -= bsize;
+			}
+			dy4 = sy[4] - ( s3*sy[3] );
+			oy3 = oy4 + ( j3*sy[3] );
+			for ( j2 = sh[2]; j2 > 0; ) {
+				if ( j2 < bsize ) {
+					s2 = j2;
+					j2 = 0;
+				} else {
+					s2 = bsize;
+					j2 -= bsize;
+				}
+				dy3 = sy[3] - ( s2*sy[2] );
+				oy2 = oy3 + ( j2*sy[2] );
+				for ( j1 = sh[1]; j1 > 0; ) {
+					if ( j1 < bsize ) {
+						s1 = j1;
+						j1 = 0;
+					} else {
+						s1 = bsize;
+						j1 -= bsize;
+					}
+					dy2 = sy[2] - ( s1*sy[1] );
+					oy1 = oy2 + ( j1*sy[1] );
+					for ( j0 = sh[0]; j0 > 0; ) {
+						if ( j0 < bsize ) {
+							s0 = j0;
+							j0 = 0;
+						} else {
+							s0 = bsize;
+							j0 -= bsize;
+						}
+						// Compute the index offset for the first output ndarray element in the current block...
+						iy = oy1 + ( j0*sy[0] );
+
+						// Compute the loop offset increment...
+						dy1 = sy[1] - ( s0*sy[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++ ) {
+											set( ybuf, iy, get( xbuf, ix ) );
+											iy += dy0;
+										}
+										iy += dy1;
+									}
+									iy += dy2;
+								}
+								iy += dy3;
+							}
+							iy += dy4;
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign5d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d.js
new file mode 100644
index 000000000000..eda1a19e3ca5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d.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.
+*/
+
+/* eslint-disable max-depth */
+
+'use strict';
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a six-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign6d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign6d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.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++ ) {
+							ybuf[ iy ] = xbuf[ ix ];
+							iy += dy0;
+						}
+						iy += dy1;
+					}
+					iy += dy2;
+				}
+				iy += dy3;
+			}
+			iy += dy4;
+		}
+		iy += dy5;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_accessors.js
new file mode 100644
index 000000000000..f48ba877f20e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_accessors.js
@@ -0,0 +1,208 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a six-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign6d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign6d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+							set( ybuf, iy, get( xbuf, ix ) );
+							iy += dy0;
+						}
+						iy += dy1;
+					}
+					iy += dy2;
+				}
+				iy += dy3;
+			}
+			iy += dy4;
+		}
+		iy += dy5;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_blocked.js
new file mode 100644
index 000000000000..0739fcfa224a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_blocked.js
@@ -0,0 +1,249 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a six-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign6d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign6d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j5 = sh[5]; j5 > 0; ) {
+		if ( j5 < bsize ) {
+			s5 = j5;
+			j5 = 0;
+		} else {
+			s5 = bsize;
+			j5 -= bsize;
+		}
+		oy5 = oy + ( j5*sy[5] );
+		for ( j4 = sh[4]; j4 > 0; ) {
+			if ( j4 < bsize ) {
+				s4 = j4;
+				j4 = 0;
+			} else {
+				s4 = bsize;
+				j4 -= bsize;
+			}
+			dy5 = sy[5] - ( s4*sy[4] );
+			oy4 = oy5 + ( j4*sy[4] );
+			for ( j3 = sh[3]; j3 > 0; ) {
+				if ( j3 < bsize ) {
+					s3 = j3;
+					j3 = 0;
+				} else {
+					s3 = bsize;
+					j3 -= bsize;
+				}
+				dy4 = sy[4] - ( s3*sy[3] );
+				oy3 = oy4 + ( j3*sy[3] );
+				for ( j2 = sh[2]; j2 > 0; ) {
+					if ( j2 < bsize ) {
+						s2 = j2;
+						j2 = 0;
+					} else {
+						s2 = bsize;
+						j2 -= bsize;
+					}
+					dy3 = sy[3] - ( s2*sy[2] );
+					oy2 = oy3 + ( j2*sy[2] );
+					for ( j1 = sh[1]; j1 > 0; ) {
+						if ( j1 < bsize ) {
+							s1 = j1;
+							j1 = 0;
+						} else {
+							s1 = bsize;
+							j1 -= bsize;
+						}
+						dy2 = sy[2] - ( s1*sy[1] );
+						oy1 = oy2 + ( j1*sy[1] );
+						for ( j0 = sh[0]; j0 > 0; ) {
+							if ( j0 < bsize ) {
+								s0 = j0;
+								j0 = 0;
+							} else {
+								s0 = bsize;
+								j0 -= bsize;
+							}
+							// Compute the index offset for the first output ndarray element in the current block...
+							iy = oy1 + ( j0*sy[0] );
+
+							// Compute the loop offset increment...
+							dy1 = sy[1] - ( s0*sy[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++ ) {
+													ybuf[ iy ] = xbuf[ ix ];
+													iy += dy0;
+												}
+												iy += dy1;
+											}
+											iy += dy2;
+										}
+										iy += dy3;
+									}
+									iy += dy4;
+								}
+								iy += dy5;
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_blocked_accessors.js
new file mode 100644
index 000000000000..25b6c5d1e4af
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/6d_blocked_accessors.js
@@ -0,0 +1,276 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a six-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* blockedassign6d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign6d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j5 = sh[5]; j5 > 0; ) {
+		if ( j5 < bsize ) {
+			s5 = j5;
+			j5 = 0;
+		} else {
+			s5 = bsize;
+			j5 -= bsize;
+		}
+		oy5 = oy + ( j5*sy[5] );
+		for ( j4 = sh[4]; j4 > 0; ) {
+			if ( j4 < bsize ) {
+				s4 = j4;
+				j4 = 0;
+			} else {
+				s4 = bsize;
+				j4 -= bsize;
+			}
+			dy5 = sy[5] - ( s4*sy[4] );
+			oy4 = oy5 + ( j4*sy[4] );
+			for ( j3 = sh[3]; j3 > 0; ) {
+				if ( j3 < bsize ) {
+					s3 = j3;
+					j3 = 0;
+				} else {
+					s3 = bsize;
+					j3 -= bsize;
+				}
+				dy4 = sy[4] - ( s3*sy[3] );
+				oy3 = oy4 + ( j3*sy[3] );
+				for ( j2 = sh[2]; j2 > 0; ) {
+					if ( j2 < bsize ) {
+						s2 = j2;
+						j2 = 0;
+					} else {
+						s2 = bsize;
+						j2 -= bsize;
+					}
+					dy3 = sy[3] - ( s2*sy[2] );
+					oy2 = oy3 + ( j2*sy[2] );
+					for ( j1 = sh[1]; j1 > 0; ) {
+						if ( j1 < bsize ) {
+							s1 = j1;
+							j1 = 0;
+						} else {
+							s1 = bsize;
+							j1 -= bsize;
+						}
+						dy2 = sy[2] - ( s1*sy[1] );
+						oy1 = oy2 + ( j1*sy[1] );
+						for ( j0 = sh[0]; j0 > 0; ) {
+							if ( j0 < bsize ) {
+								s0 = j0;
+								j0 = 0;
+							} else {
+								s0 = bsize;
+								j0 -= bsize;
+							}
+							// Compute the index offset for the first output ndarray element in the current block...
+							iy = oy1 + ( j0*sy[0] );
+
+							// Compute the loop offset increment...
+							dy1 = sy[1] - ( s0*sy[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++ ) {
+													set( ybuf, iy, get( xbuf, ix ) );
+													iy += dy0;
+												}
+												iy += dy1;
+											}
+											iy += dy2;
+										}
+										iy += dy3;
+									}
+									iy += dy4;
+								}
+								iy += dy5;
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign6d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d.js
new file mode 100644
index 000000000000..ca7c41e086f0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d.js
@@ -0,0 +1,191 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a seven-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign7d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign7d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.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++ ) {
+								ybuf[ iy ] = xbuf[ ix ];
+								iy += dy0;
+							}
+							iy += dy1;
+						}
+						iy += dy2;
+					}
+					iy += dy3;
+				}
+				iy += dy4;
+			}
+			iy += dy5;
+		}
+		iy += dy6;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_accessors.js
new file mode 100644
index 000000000000..c1c3d622e389
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_accessors.js
@@ -0,0 +1,218 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a seven-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign7d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign7d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+								set( ybuf, iy, get( xbuf, ix ) );
+								iy += dy0;
+							}
+							iy += dy1;
+						}
+						iy += dy2;
+					}
+					iy += dy3;
+				}
+				iy += dy4;
+			}
+			iy += dy5;
+		}
+		iy += dy6;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_blocked.js
new file mode 100644
index 000000000000..d11393f446c5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_blocked.js
@@ -0,0 +1,268 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a seven-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign7d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign7d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j6 = sh[6]; j6 > 0; ) {
+		if ( j6 < bsize ) {
+			s6 = j6;
+			j6 = 0;
+		} else {
+			s6 = bsize;
+			j6 -= bsize;
+		}
+		oy6 = oy + ( j6*sy[6] );
+		for ( j5 = sh[5]; j5 > 0; ) {
+			if ( j5 < bsize ) {
+				s5 = j5;
+				j5 = 0;
+			} else {
+				s5 = bsize;
+				j5 -= bsize;
+			}
+			dy6 = sy[6] - ( s5*sy[5] );
+			oy5 = oy6 + ( j5*sy[5] );
+			for ( j4 = sh[4]; j4 > 0; ) {
+				if ( j4 < bsize ) {
+					s4 = j4;
+					j4 = 0;
+				} else {
+					s4 = bsize;
+					j4 -= bsize;
+				}
+				dy5 = sy[5] - ( s4*sy[4] );
+				oy4 = oy5 + ( j4*sy[4] );
+				for ( j3 = sh[3]; j3 > 0; ) {
+					if ( j3 < bsize ) {
+						s3 = j3;
+						j3 = 0;
+					} else {
+						s3 = bsize;
+						j3 -= bsize;
+					}
+					dy4 = sy[4] - ( s3*sy[3] );
+					oy3 = oy4 + ( j3*sy[3] );
+					for ( j2 = sh[2]; j2 > 0; ) {
+						if ( j2 < bsize ) {
+							s2 = j2;
+							j2 = 0;
+						} else {
+							s2 = bsize;
+							j2 -= bsize;
+						}
+						dy3 = sy[3] - ( s2*sy[2] );
+						oy2 = oy3 + ( j2*sy[2] );
+						for ( j1 = sh[1]; j1 > 0; ) {
+							if ( j1 < bsize ) {
+								s1 = j1;
+								j1 = 0;
+							} else {
+								s1 = bsize;
+								j1 -= bsize;
+							}
+							dy2 = sy[2] - ( s1*sy[1] );
+							oy1 = oy2 + ( j1*sy[1] );
+							for ( j0 = sh[0]; j0 > 0; ) {
+								if ( j0 < bsize ) {
+									s0 = j0;
+									j0 = 0;
+								} else {
+									s0 = bsize;
+									j0 -= bsize;
+								}
+								// Compute the index offset for the first output ndarray element in the current block...
+								iy = oy1 + ( j0*sy[0] );
+
+								// Compute the loop offset increment...
+								dy1 = sy[1] - ( s0*sy[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++ ) {
+															ybuf[ iy ] = xbuf[ ix ];
+															iy += dy0;
+														}
+														iy += dy1;
+													}
+													iy += dy2;
+												}
+												iy += dy3;
+											}
+											iy += dy4;
+										}
+										iy += dy5;
+									}
+									iy += dy6;
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_blocked_accessors.js
new file mode 100644
index 000000000000..c4be0e7c4b57
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/7d_blocked_accessors.js
@@ -0,0 +1,295 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a seven-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* blockedassign7d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign7d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j6 = sh[6]; j6 > 0; ) {
+		if ( j6 < bsize ) {
+			s6 = j6;
+			j6 = 0;
+		} else {
+			s6 = bsize;
+			j6 -= bsize;
+		}
+		oy6 = oy + ( j6*sy[6] );
+		for ( j5 = sh[5]; j5 > 0; ) {
+			if ( j5 < bsize ) {
+				s5 = j5;
+				j5 = 0;
+			} else {
+				s5 = bsize;
+				j5 -= bsize;
+			}
+			dy6 = sy[6] - ( s5*sy[5] );
+			oy5 = oy6 + ( j5*sy[5] );
+			for ( j4 = sh[4]; j4 > 0; ) {
+				if ( j4 < bsize ) {
+					s4 = j4;
+					j4 = 0;
+				} else {
+					s4 = bsize;
+					j4 -= bsize;
+				}
+				dy5 = sy[5] - ( s4*sy[4] );
+				oy4 = oy5 + ( j4*sy[4] );
+				for ( j3 = sh[3]; j3 > 0; ) {
+					if ( j3 < bsize ) {
+						s3 = j3;
+						j3 = 0;
+					} else {
+						s3 = bsize;
+						j3 -= bsize;
+					}
+					dy4 = sy[4] - ( s3*sy[3] );
+					oy3 = oy4 + ( j3*sy[3] );
+					for ( j2 = sh[2]; j2 > 0; ) {
+						if ( j2 < bsize ) {
+							s2 = j2;
+							j2 = 0;
+						} else {
+							s2 = bsize;
+							j2 -= bsize;
+						}
+						dy3 = sy[3] - ( s2*sy[2] );
+						oy2 = oy3 + ( j2*sy[2] );
+						for ( j1 = sh[1]; j1 > 0; ) {
+							if ( j1 < bsize ) {
+								s1 = j1;
+								j1 = 0;
+							} else {
+								s1 = bsize;
+								j1 -= bsize;
+							}
+							dy2 = sy[2] - ( s1*sy[1] );
+							oy1 = oy2 + ( j1*sy[1] );
+							for ( j0 = sh[0]; j0 > 0; ) {
+								if ( j0 < bsize ) {
+									s0 = j0;
+									j0 = 0;
+								} else {
+									s0 = bsize;
+									j0 -= bsize;
+								}
+								// Compute the index offset for the first output ndarray element in the current block...
+								iy = oy1 + ( j0*sy[0] );
+
+								// Compute the loop offset increment...
+								dy1 = sy[1] - ( s0*sy[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++ ) {
+															set( ybuf, iy, get( xbuf, ix ) );
+															iy += dy0;
+														}
+														iy += dy1;
+													}
+													iy += dy2;
+												}
+												iy += dy3;
+											}
+											iy += dy4;
+										}
+										iy += dy5;
+									}
+									iy += dy6;
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign7d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d.js
new file mode 100644
index 000000000000..314e414f5629
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d.js
@@ -0,0 +1,201 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of an eight-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign8d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign8d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.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++ ) {
+									ybuf[ iy ] = xbuf[ ix ];
+									iy += dy0;
+								}
+								iy += dy1;
+							}
+							iy += dy2;
+						}
+						iy += dy3;
+					}
+					iy += dy4;
+				}
+				iy += dy5;
+			}
+			iy += dy6;
+		}
+		iy += dy7;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_accessors.js
new file mode 100644
index 000000000000..e7ed9e51ee23
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_accessors.js
@@ -0,0 +1,228 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of an eight-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign8d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign8d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+									set( ybuf, iy, get( xbuf, ix ) );
+									iy += dy0;
+								}
+								iy += dy1;
+							}
+							iy += dy2;
+						}
+						iy += dy3;
+					}
+					iy += dy4;
+				}
+				iy += dy5;
+			}
+			iy += dy6;
+		}
+		iy += dy7;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_blocked.js
new file mode 100644
index 000000000000..6d2d3bf1b3c6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_blocked.js
@@ -0,0 +1,287 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns elements in an eight-dimensional input ndarray to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign8d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign8d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j7 = sh[7]; j7 > 0; ) {
+		if ( j7 < bsize ) {
+			s7 = j7;
+			j7 = 0;
+		} else {
+			s7 = bsize;
+			j7 -= bsize;
+		}
+		oy7 = oy + ( j7*sy[7] );
+		for ( j6 = sh[6]; j6 > 0; ) {
+			if ( j6 < bsize ) {
+				s6 = j6;
+				j6 = 0;
+			} else {
+				s6 = bsize;
+				j6 -= bsize;
+			}
+			dy7 = sy[7] - ( s6*sy[6] );
+			oy6 = oy7 + ( j6*sy[6] );
+			for ( j5 = sh[5]; j5 > 0; ) {
+				if ( j5 < bsize ) {
+					s5 = j5;
+					j5 = 0;
+				} else {
+					s5 = bsize;
+					j5 -= bsize;
+				}
+				dy6 = sy[6] - ( s5*sy[5] );
+				oy5 = oy6 + ( j5*sy[5] );
+				for ( j4 = sh[4]; j4 > 0; ) {
+					if ( j4 < bsize ) {
+						s4 = j4;
+						j4 = 0;
+					} else {
+						s4 = bsize;
+						j4 -= bsize;
+					}
+					dy5 = sy[5] - ( s4*sy[4] );
+					oy4 = oy5 + ( j4*sy[4] );
+					for ( j3 = sh[3]; j3 > 0; ) {
+						if ( j3 < bsize ) {
+							s3 = j3;
+							j3 = 0;
+						} else {
+							s3 = bsize;
+							j3 -= bsize;
+						}
+						dy4 = sy[4] - ( s3*sy[3] );
+						oy3 = oy4 + ( j3*sy[3] );
+						for ( j2 = sh[2]; j2 > 0; ) {
+							if ( j2 < bsize ) {
+								s2 = j2;
+								j2 = 0;
+							} else {
+								s2 = bsize;
+								j2 -= bsize;
+							}
+							dy3 = sy[3] - ( s2*sy[2] );
+							oy2 = oy3 + ( j2*sy[2] );
+							for ( j1 = sh[1]; j1 > 0; ) {
+								if ( j1 < bsize ) {
+									s1 = j1;
+									j1 = 0;
+								} else {
+									s1 = bsize;
+									j1 -= bsize;
+								}
+								dy2 = sy[2] - ( s1*sy[1] );
+								oy1 = oy2 + ( j1*sy[1] );
+								for ( j0 = sh[0]; j0 > 0; ) {
+									if ( j0 < bsize ) {
+										s0 = j0;
+										j0 = 0;
+									} else {
+										s0 = bsize;
+										j0 -= bsize;
+									}
+									// Compute the index offset for the first output ndarray element in the current block...
+									iy = oy1 + ( j0*sy[0] );
+
+									// Compute the loop offset increment...
+									dy1 = sy[1] - ( s0*sy[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++ ) {
+																	ybuf[ iy ] = xbuf[ ix ];
+																	iy += dy0;
+																}
+																iy += dy1;
+															}
+															iy += dy2;
+														}
+														iy += dy3;
+													}
+													iy += dy4;
+												}
+												iy += dy5;
+											}
+											iy += dy6;
+										}
+										iy += dy7;
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_blocked_accessors.js
new file mode 100644
index 000000000000..c2bba1ed2e8c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/8d_blocked_accessors.js
@@ -0,0 +1,314 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns elements in an eight-dimensional input ndarray to elements in an equivalently shaped output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* blockedassign8d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign8d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j7 = sh[7]; j7 > 0; ) {
+		if ( j7 < bsize ) {
+			s7 = j7;
+			j7 = 0;
+		} else {
+			s7 = bsize;
+			j7 -= bsize;
+		}
+		oy7 = oy + ( j7*sy[7] );
+		for ( j6 = sh[6]; j6 > 0; ) {
+			if ( j6 < bsize ) {
+				s6 = j6;
+				j6 = 0;
+			} else {
+				s6 = bsize;
+				j6 -= bsize;
+			}
+			dy7 = sy[7] - ( s6*sy[6] );
+			oy6 = oy7 + ( j6*sy[6] );
+			for ( j5 = sh[5]; j5 > 0; ) {
+				if ( j5 < bsize ) {
+					s5 = j5;
+					j5 = 0;
+				} else {
+					s5 = bsize;
+					j5 -= bsize;
+				}
+				dy6 = sy[6] - ( s5*sy[5] );
+				oy5 = oy6 + ( j5*sy[5] );
+				for ( j4 = sh[4]; j4 > 0; ) {
+					if ( j4 < bsize ) {
+						s4 = j4;
+						j4 = 0;
+					} else {
+						s4 = bsize;
+						j4 -= bsize;
+					}
+					dy5 = sy[5] - ( s4*sy[4] );
+					oy4 = oy5 + ( j4*sy[4] );
+					for ( j3 = sh[3]; j3 > 0; ) {
+						if ( j3 < bsize ) {
+							s3 = j3;
+							j3 = 0;
+						} else {
+							s3 = bsize;
+							j3 -= bsize;
+						}
+						dy4 = sy[4] - ( s3*sy[3] );
+						oy3 = oy4 + ( j3*sy[3] );
+						for ( j2 = sh[2]; j2 > 0; ) {
+							if ( j2 < bsize ) {
+								s2 = j2;
+								j2 = 0;
+							} else {
+								s2 = bsize;
+								j2 -= bsize;
+							}
+							dy3 = sy[3] - ( s2*sy[2] );
+							oy2 = oy3 + ( j2*sy[2] );
+							for ( j1 = sh[1]; j1 > 0; ) {
+								if ( j1 < bsize ) {
+									s1 = j1;
+									j1 = 0;
+								} else {
+									s1 = bsize;
+									j1 -= bsize;
+								}
+								dy2 = sy[2] - ( s1*sy[1] );
+								oy1 = oy2 + ( j1*sy[1] );
+								for ( j0 = sh[0]; j0 > 0; ) {
+									if ( j0 < bsize ) {
+										s0 = j0;
+										j0 = 0;
+									} else {
+										s0 = bsize;
+										j0 -= bsize;
+									}
+									// Compute the index offset for the first output ndarray element in the current block...
+									iy = oy1 + ( j0*sy[0] );
+
+									// Compute the loop offset increment...
+									dy1 = sy[1] - ( s0*sy[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++ ) {
+																	set( ybuf, iy, get( xbuf, ix ) );
+																	iy += dy0;
+																}
+																iy += dy1;
+															}
+															iy += dy2;
+														}
+														iy += dy3;
+													}
+													iy += dy4;
+												}
+												iy += dy5;
+											}
+											iy += dy6;
+										}
+										iy += dy7;
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign8d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d.js
new file mode 100644
index 000000000000..0d88a5e89c1f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d.js
@@ -0,0 +1,211 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a nine-dimensional output ndarray.
+*
+* @private
+* @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 {boolean} isRowMajor - boolean indicating if provided arrays are in row-major order
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assign9d( x, y, true );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assign9d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.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++ ) {
+										ybuf[ iy ] = xbuf[ ix ];
+										iy += dy0;
+									}
+									iy += dy1;
+								}
+								iy += dy2;
+							}
+							iy += dy3;
+						}
+						iy += dy4;
+					}
+					iy += dy5;
+				}
+				iy += dy6;
+			}
+			iy += dy7;
+		}
+		iy += dy8;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_accessors.js
new file mode 100644
index 000000000000..94eee11942b5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_accessors.js
@@ -0,0 +1,238 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of a nine-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+* var realf = require( '@stdlib/complex/float32/real' );
+* var imagf = require( '@stdlib/complex/float32/imag' );
+*
+* // Create data buffers:
+* var xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assign9d( x, y, true );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assign9d( x, y, isRowMajor ) {
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var sh;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var sy;
+	var ix;
+	var iy;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+
+	// Note on variable naming convention: S#, 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 = y.shape;
+	sy = y.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 ];
+		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] );
+	} 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 ];
+		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] );
+	}
+	// Set the pointers to the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	iy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+										set( ybuf, iy, get( xbuf, ix ) );
+										iy += dy0;
+									}
+									iy += dy1;
+								}
+								iy += dy2;
+							}
+							iy += dy3;
+						}
+						iy += dy4;
+					}
+					iy += dy5;
+				}
+				iy += dy6;
+			}
+			iy += dy7;
+		}
+		iy += dy8;
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assign9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_blocked.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_blocked.js
new file mode 100644
index 000000000000..aceb1c13cb79
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_blocked.js
@@ -0,0 +1,306 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a nine-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* blockedassign9d( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function blockedassign9d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Iterate over blocks...
+	for ( j8 = sh[8]; j8 > 0; ) {
+		if ( j8 < bsize ) {
+			s8 = j8;
+			j8 = 0;
+		} else {
+			s8 = bsize;
+			j8 -= bsize;
+		}
+		oy8 = oy + ( j8*sy[8] );
+		for ( j7 = sh[7]; j7 > 0; ) {
+			if ( j7 < bsize ) {
+				s7 = j7;
+				j7 = 0;
+			} else {
+				s7 = bsize;
+				j7 -= bsize;
+			}
+			dy8 = sy[8] - ( s7*sy[7] );
+			oy7 = oy8 + ( j7*sy[7] );
+			for ( j6 = sh[6]; j6 > 0; ) {
+				if ( j6 < bsize ) {
+					s6 = j6;
+					j6 = 0;
+				} else {
+					s6 = bsize;
+					j6 -= bsize;
+				}
+				dy7 = sy[7] - ( s6*sy[6] );
+				oy6 = oy7 + ( j6*sy[6] );
+				for ( j5 = sh[5]; j5 > 0; ) {
+					if ( j5 < bsize ) {
+						s5 = j5;
+						j5 = 0;
+					} else {
+						s5 = bsize;
+						j5 -= bsize;
+					}
+					dy6 = sy[6] - ( s5*sy[5] );
+					oy5 = oy6 + ( j5*sy[5] );
+					for ( j4 = sh[4]; j4 > 0; ) {
+						if ( j4 < bsize ) {
+							s4 = j4;
+							j4 = 0;
+						} else {
+							s4 = bsize;
+							j4 -= bsize;
+						}
+						dy5 = sy[5] - ( s4*sy[4] );
+						oy4 = oy5 + ( j4*sy[4] );
+						for ( j3 = sh[3]; j3 > 0; ) {
+							if ( j3 < bsize ) {
+								s3 = j3;
+								j3 = 0;
+							} else {
+								s3 = bsize;
+								j3 -= bsize;
+							}
+							dy4 = sy[4] - ( s3*sy[3] );
+							oy3 = oy4 + ( j3*sy[3] );
+							for ( j2 = sh[2]; j2 > 0; ) {
+								if ( j2 < bsize ) {
+									s2 = j2;
+									j2 = 0;
+								} else {
+									s2 = bsize;
+									j2 -= bsize;
+								}
+								dy3 = sy[3] - ( s2*sy[2] );
+								oy2 = oy3 + ( j2*sy[2] );
+								for ( j1 = sh[1]; j1 > 0; ) {
+									if ( j1 < bsize ) {
+										s1 = j1;
+										j1 = 0;
+									} else {
+										s1 = bsize;
+										j1 -= bsize;
+									}
+									dy2 = sy[2] - ( s1*sy[1] );
+									oy1 = oy2 + ( j1*sy[1] );
+									for ( j0 = sh[0]; j0 > 0; ) {
+										if ( j0 < bsize ) {
+											s0 = j0;
+											j0 = 0;
+										} else {
+											s0 = bsize;
+											j0 -= bsize;
+										}
+										// Compute the index offset for the first output ndarray element in the current block...
+										iy = oy1 + ( j0*sy[0] );
+
+										// Compute the loop offset increment...
+										dy1 = sy[1] - ( s0*sy[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++ ) {
+																			ybuf[ iy ] = xbuf[ ix ];
+																			iy += dy0;
+																		}
+																		iy += dy1;
+																	}
+																	iy += dy2;
+																}
+																iy += dy3;
+															}
+															iy += dy4;
+														}
+														iy += dy5;
+													}
+													iy += dy6;
+												}
+												iy += dy7;
+											}
+											iy += dy8;
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_blocked_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_blocked_accessors.js
new file mode 100644
index 000000000000..18dac3d2b884
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/9d_blocked_accessors.js
@@ -0,0 +1,333 @@
+/**
+* @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/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of a nine-dimensional output ndarray via loop blocking.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 1, 1, 1, 1, 1, 1, 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 2, 2, 2, 2, 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* blockedassign9d( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function blockedassign9d( x, y ) { // eslint-disable-line max-statements
+	var bsize;
+	var xbuf;
+	var ybuf;
+	var get;
+	var set;
+	var dy0;
+	var dy1;
+	var dy2;
+	var dy3;
+	var dy4;
+	var dy5;
+	var dy6;
+	var dy7;
+	var dy8;
+	var oy1;
+	var oy2;
+	var oy3;
+	var oy4;
+	var oy5;
+	var oy6;
+	var oy7;
+	var oy8;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	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#, dy#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	// Resolve the loop interchange order:
+	o = loopOrder( y.shape, y.strides );
+	sh = o.sh;
+	sy = o.sx;
+
+	// Determine the block size:
+	bsize = blockSize( y.dtype );
+
+	// Cache the indices of the first indexed elements in the respective ndarrays...
+	ix = x.offset;
+	oy = y.offset;
+
+	// Cache references to the input and output ndarray buffers...
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache the offset increment for the innermost loop...
+	dy0 = sy[0];
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.accessors[1];
+
+	// Iterate over blocks...
+	for ( j8 = sh[8]; j8 > 0; ) {
+		if ( j8 < bsize ) {
+			s8 = j8;
+			j8 = 0;
+		} else {
+			s8 = bsize;
+			j8 -= bsize;
+		}
+		oy8 = oy + ( j8*sy[8] );
+		for ( j7 = sh[7]; j7 > 0; ) {
+			if ( j7 < bsize ) {
+				s7 = j7;
+				j7 = 0;
+			} else {
+				s7 = bsize;
+				j7 -= bsize;
+			}
+			dy8 = sy[8] - ( s7*sy[7] );
+			oy7 = oy8 + ( j7*sy[7] );
+			for ( j6 = sh[6]; j6 > 0; ) {
+				if ( j6 < bsize ) {
+					s6 = j6;
+					j6 = 0;
+				} else {
+					s6 = bsize;
+					j6 -= bsize;
+				}
+				dy7 = sy[7] - ( s6*sy[6] );
+				oy6 = oy7 + ( j6*sy[6] );
+				for ( j5 = sh[5]; j5 > 0; ) {
+					if ( j5 < bsize ) {
+						s5 = j5;
+						j5 = 0;
+					} else {
+						s5 = bsize;
+						j5 -= bsize;
+					}
+					dy6 = sy[6] - ( s5*sy[5] );
+					oy5 = oy6 + ( j5*sy[5] );
+					for ( j4 = sh[4]; j4 > 0; ) {
+						if ( j4 < bsize ) {
+							s4 = j4;
+							j4 = 0;
+						} else {
+							s4 = bsize;
+							j4 -= bsize;
+						}
+						dy5 = sy[5] - ( s4*sy[4] );
+						oy4 = oy5 + ( j4*sy[4] );
+						for ( j3 = sh[3]; j3 > 0; ) {
+							if ( j3 < bsize ) {
+								s3 = j3;
+								j3 = 0;
+							} else {
+								s3 = bsize;
+								j3 -= bsize;
+							}
+							dy4 = sy[4] - ( s3*sy[3] );
+							oy3 = oy4 + ( j3*sy[3] );
+							for ( j2 = sh[2]; j2 > 0; ) {
+								if ( j2 < bsize ) {
+									s2 = j2;
+									j2 = 0;
+								} else {
+									s2 = bsize;
+									j2 -= bsize;
+								}
+								dy3 = sy[3] - ( s2*sy[2] );
+								oy2 = oy3 + ( j2*sy[2] );
+								for ( j1 = sh[1]; j1 > 0; ) {
+									if ( j1 < bsize ) {
+										s1 = j1;
+										j1 = 0;
+									} else {
+										s1 = bsize;
+										j1 -= bsize;
+									}
+									dy2 = sy[2] - ( s1*sy[1] );
+									oy1 = oy2 + ( j1*sy[1] );
+									for ( j0 = sh[0]; j0 > 0; ) {
+										if ( j0 < bsize ) {
+											s0 = j0;
+											j0 = 0;
+										} else {
+											s0 = bsize;
+											j0 -= bsize;
+										}
+										// Compute the index offset for the first output ndarray element in the current block...
+										iy = oy1 + ( j0*sy[0] );
+
+										// Compute the loop offset increment...
+										dy1 = sy[1] - ( s0*sy[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++ ) {
+																			set( ybuf, iy, get( xbuf, ix ) );
+																			iy += dy0;
+																		}
+																		iy += dy1;
+																	}
+																	iy += dy2;
+																}
+																iy += dy3;
+															}
+															iy += dy4;
+														}
+														iy += dy5;
+													}
+													iy += dy6;
+												}
+												iy += dy7;
+											}
+											iy += dy8;
+										}
+									}
+								}
+							}
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = blockedassign9d;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/index.js
new file mode 100644
index 000000000000..120b69a865b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/index.js
@@ -0,0 +1,72 @@
+/**
+* @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';
+
+/**
+* Assign a scalar value to every element of an output ndarray.
+*
+* @module @stdlib/ndarray/base/assign-scalar
+*
+* @example
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var Float64Array = require( '@stdlib/array/float64' );
+* var assignScalar = require( '@stdlib/ndarray/base/assign-scalar' );
+*
+* // Create a zero-dimensional ndarray containing the scalar value:
+* var x = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* // Create a data buffer:
+* var ybuf = new Float64Array( 12 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sy = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var oy = 1;
+*
+* // Create the output ndarray-like object:
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign the scalar value:
+* assignScalar( [ x, y ] );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 0.0, 5.0, 5.0, 0.0, 0.0, 5.0, 5.0, 0.0, 0.0, 5.0, 5.0, 0.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/main.js
new file mode 100644
index 000000000000..9c4ba0ca16f9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/main.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.
+*/
+
+'use strict';
+
+// MODULES //
+
+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 isBooleanArray = require( '@stdlib/array/base/assert/is-booleanarray' );
+var iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
+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 reinterpretBoolean = require( '@stdlib/strided/base/reinterpret-boolean' );
+var blockedaccessorassign2d = require( './2d_blocked_accessors.js' );
+var blockedaccessorassign3d = require( './3d_blocked_accessors.js' );
+var blockedaccessorassign4d = require( './4d_blocked_accessors.js' );
+var blockedaccessorassign5d = require( './5d_blocked_accessors.js' );
+var blockedaccessorassign6d = require( './6d_blocked_accessors.js' );
+var blockedaccessorassign7d = require( './7d_blocked_accessors.js' );
+var blockedaccessorassign8d = require( './8d_blocked_accessors.js' );
+var blockedaccessorassign9d = require( './9d_blocked_accessors.js' );
+var blockedaccessorassign10d = require( './10d_blocked_accessors.js' );
+var blockedassign2d = require( './2d_blocked.js' );
+var blockedassign3d = require( './3d_blocked.js' );
+var blockedassign4d = require( './4d_blocked.js' );
+var blockedassign5d = require( './5d_blocked.js' );
+var blockedassign6d = require( './6d_blocked.js' );
+var blockedassign7d = require( './7d_blocked.js' );
+var blockedassign8d = require( './8d_blocked.js' );
+var blockedassign9d = require( './9d_blocked.js' );
+var blockedassign10d = require( './10d_blocked.js' );
+var accessorassign0d = require( './0d_accessors.js' );
+var accessorassign1d = require( './1d_accessors.js' );
+var accessorassign2d = require( './2d_accessors.js' );
+var accessorassign3d = require( './3d_accessors.js' );
+var accessorassign4d = require( './4d_accessors.js' );
+var accessorassign5d = require( './5d_accessors.js' );
+var accessorassign6d = require( './6d_accessors.js' );
+var accessorassign7d = require( './7d_accessors.js' );
+var accessorassign8d = require( './8d_accessors.js' );
+var accessorassign9d = require( './9d_accessors.js' );
+var accessorassign10d = require( './10d_accessors.js' );
+var accessorassignnd = require( './nd_accessors.js' );
+var assign0d = require( './0d.js' );
+var assign1d = require( './1d.js' );
+var assign2d = require( './2d.js' );
+var assign3d = require( './3d.js' );
+var assign4d = require( './4d.js' );
+var assign5d = require( './5d.js' );
+var assign6d = require( './6d.js' );
+var assign7d = require( './7d.js' );
+var assign8d = require( './8d.js' );
+var assign9d = require( './9d.js' );
+var assign10d = require( './10d.js' );
+var assignnd = require( './nd.js' );
+
+
+// VARIABLES //
+
+var ASSIGN = [
+	assign0d,
+	assign1d,
+	assign2d,
+	assign3d,
+	assign4d,
+	assign5d,
+	assign6d,
+	assign7d,
+	assign8d,
+	assign9d,
+	assign10d
+];
+var ACCESSOR_ASSIGN = [
+	accessorassign0d,
+	accessorassign1d,
+	accessorassign2d,
+	accessorassign3d,
+	accessorassign4d,
+	accessorassign5d,
+	accessorassign6d,
+	accessorassign7d,
+	accessorassign8d,
+	accessorassign9d,
+	accessorassign10d
+];
+var BLOCKED_ASSIGN = [
+	blockedassign2d, // 0
+	blockedassign3d,
+	blockedassign4d,
+	blockedassign5d,
+	blockedassign6d,
+	blockedassign7d,
+	blockedassign8d,
+	blockedassign9d,
+	blockedassign10d // 8
+];
+var BLOCKED_ACCESSOR_ASSIGN = [
+	blockedaccessorassign2d, // 0
+	blockedaccessorassign3d,
+	blockedaccessorassign4d,
+	blockedaccessorassign5d,
+	blockedaccessorassign6d,
+	blockedaccessorassign7d,
+	blockedaccessorassign8d,
+	blockedaccessorassign9d,
+	blockedaccessorassign10d // 8
+];
+var MAX_DIMS = ASSIGN.length - 1;
+
+
+// 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;
+}
+
+
+// MAIN //
+
+/**
+* Assigns a scalar value to every element of 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 a zero-dimensional ndarray containing the scalar value and one output ndarray
+* @returns {void}
+*
+* @example
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create a zero-dimensional ndarray containing the scalar value:
+* var x = scalar2ndarray( 5.0, {
+*     'dtype': 'float64'
+* });
+*
+* // Create a data buffer:
+* var ybuf = new Float64Array( 12 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sy = [ 4, 4, 1 ];
+*
+* // Define the index offset:
+* var oy = 1;
+*
+* // Create the output ndarray-like object:
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign the scalar value:
+* assignScalar( [ x, y ] );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 0.0, 5.0, 5.0, 0.0, 0.0, 5.0, 5.0, 0.0, 0.0, 5.0, 5.0, 0.0 ]
+*/
+function assignScalar( arrays ) {
+	var ndims;
+	var ymmv;
+	var shy;
+	var ioy;
+	var len;
+	var sy;
+	var oy;
+	var ns;
+	var x;
+	var y;
+	var d;
+	var i;
+
+	// Unpack the ndarrays and standardize ndarray meta data:
+	x = ndarray2object( arrays[ 0 ] );
+	y = ndarray2object( arrays[ 1 ] );
+
+	// Check for known array types which can be reinterpreted for better iteration performance...
+	if ( isBooleanArray( x.data ) && isBooleanArray( y.data ) ) {
+		x = boolean2uint8( x );
+		y = boolean2uint8( y );
+	}
+	// Determine whether we are casting a real data type to a complex data type and we need to use a specialized accessor...
+	else if ( isRealDataType( x.dtype ) && isComplexDataType( y.dtype ) ) {
+		x.accessorProtocol = true;
+		x.accessors[ 0 ] = castReturn( x.accessors[ 0 ], 2, complexCtors( String( y.dtype ) ) ); // eslint-disable-line max-len
+	}
+	shy = y.shape;
+	ndims = shy.length;
+
+	// Determine whether we can avoid iteration altogether...
+	if ( ndims === 0 ) {
+		if ( x.accessorProtocol || y.accessorProtocol ) {
+			return ACCESSOR_ASSIGN[ ndims ]( x, y );
+		}
+		return ASSIGN[ ndims ]( x, y );
+	}
+	// Compute the number of elements and the number of singleton dimensions...
+	len = 1; // number of elements
+	ns = 0;  // number of singleton dimensions
+	for ( i = 0; i < ndims; i++ ) {
+		d = shy[ i ];
+
+		// Note that, if one of the dimensions is `0`, the length will be `0`...
+		len *= d;
+
+		// Check whether the current dimension is a singleton dimension...
+		if ( d === 1 ) {
+			ns += 1;
+		}
+	}
+	// Check whether we were provided an empty ndarray...
+	if ( len === 0 ) {
+		return;
+	}
+	// Determine whether the ndarray is one-dimensional and thus readily translates to a one-dimensional strided array...
+	if ( ndims === 1 ) {
+		if ( x.accessorProtocol || y.accessorProtocol ) {
+			return ACCESSOR_ASSIGN[ ndims ]( x, y );
+		}
+		return ASSIGN[ ndims ]( x, y );
+	}
+	sy = y.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 ndarray as being equivalent to a one-dimensional strided array...
+	if ( ns === ndims-1 ) {
+		// Get the index of the non-singleton dimension...
+		for ( i = 0; i < ndims; i++ ) {
+			if ( shy[ i ] !== 1 ) {
+				break;
+			}
+		}
+		y.shape = [ shy[i] ];
+		y.strides = [ sy[i] ];
+		if ( x.accessorProtocol || y.accessorProtocol ) {
+			return ACCESSOR_ASSIGN[ 1 ]( x, y );
+		}
+		return ASSIGN[ 1 ]( x, y );
+	}
+	ioy = iterationOrder( sy ); // +/-1
+
+	// Determine whether we can avoid blocked iteration...
+	if ( ioy !== 0 ) {
+		// Determine the minimum and maximum linear indices which are accessible by the array view:
+		ymmv = minmaxViewBufferIndex( shy, sy, y.offset );
+
+		// Determine whether we can ignore shape (and strides) and treat the ndarray as a linear one-dimensional strided array...
+		if ( len === ( ymmv[1]-ymmv[0]+1 ) ) {
+			// Note: the above is equivalent to @stdlib/ndarray/base/assert/is-contiguous, but in-lined so we can retain computed values...
+			if ( ioy === 1 ) {
+				oy = ymmv[ 0 ];
+			} else {
+				oy = ymmv[ 1 ];
+			}
+			y.shape = [ len ];
+			y.strides = [ ioy ];
+			y.offset = oy;
+			if ( x.accessorProtocol || y.accessorProtocol ) {
+				return ACCESSOR_ASSIGN[ 1 ]( x, y );
+			}
+			return ASSIGN[ 1 ]( x, y );
+		}
+		// The ndarray is non-contiguous, so we cannot directly use one-dimensional array functionality...
+
+		// Determine whether we can use simple nested loops...
+		if ( ndims <= MAX_DIMS ) {
+			// So long as iteration always moves in the same direction (i.e., no mixed sign strides), we can leverage cache-optimal (i.e., normal) nested loops without resorting to blocked iteration...
+			if ( x.accessorProtocol || y.accessorProtocol ) {
+				return ACCESSOR_ASSIGN[ ndims ]( x, y );
+			}
+			return ASSIGN[ ndims ]( x, y );
+		}
+		// Fall-through to blocked iteration...
+	}
+	// At this point, we're either dealing with a non-contiguous n-dimensional array or a high dimensional n-dimensional array, so our only hope is that we can still perform blocked iteration...
+
+	// Determine whether we can perform blocked iteration...
+	if ( ndims <= MAX_DIMS ) {
+		if ( x.accessorProtocol || y.accessorProtocol ) {
+			return BLOCKED_ACCESSOR_ASSIGN[ ndims-2 ]( x, y );
+		}
+		return BLOCKED_ASSIGN[ ndims-2 ]( x, y );
+	}
+	// Fall-through to linear view iteration without regard for how data is stored in memory (i.e., take the slow path)...
+	if ( x.accessorProtocol || y.accessorProtocol ) {
+		return accessorassignnd( x, y );
+	}
+	assignnd( x, y );
+}
+
+
+// EXPORTS //
+
+module.exports = assignScalar;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/nd.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/nd.js
new file mode 100644
index 000000000000..3fabf1e87357
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/nd.js
@@ -0,0 +1,139 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of an n-dimensional output ndarray.
+*
+* @private
+* @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)
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* // Create data buffers:
+* var xbuf = new Float64Array( [ 2.0 ] );
+* var ybuf = new Float64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 0;
+*
+* // Create the input and output ndarray-like objects:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': [],
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+* var y = {
+*     'dtype': 'float64',
+*     'data': ybuf,
+*     'shape': shape,
+*     'strides': sy,
+*     'offset': oy,
+*     'order': 'row-major'
+* };
+*
+* // Assign scalar:
+* assignnd( x, y );
+*
+* console.log( y.data );
+* // => <Float64Array>[ 2.0, 2.0, 2.0, 2.0, 2.0, 2.0 ]
+*/
+function assignnd( x, y ) {
+	var xbuf;
+	var ybuf;
+	var ordy;
+	var len;
+	var shy;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i;
+
+	shy = y.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( shy );
+
+	// Cache references to the input and output ndarray data buffers:
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache references to the respective stride arrays:
+	sy = y.strides;
+
+	// Cache the index of the first indexed element in the input ndarray:
+	ix = x.offset;
+
+	// Cache the index of the first indexed element in the output ndarray:
+	oy = y.offset;
+
+	// Cache the output array order:
+	ordy = y.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++ ) {
+		iy = vind2bind( shy, sy, oy, ordy, i, MODE );
+		ybuf[ iy ] = xbuf[ ix ];
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assignnd;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/nd_accessors.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/nd_accessors.js
new file mode 100644
index 000000000000..2b20d02725d4
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/lib/nd_accessors.js
@@ -0,0 +1,166 @@
+/**
+* @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 //
+
+/**
+* Assigns a scalar value to every element of an n-dimensional output ndarray.
+*
+* @private
+* @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 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 {Array<Function>} y.accessors - data buffer accessors
+* @returns {void}
+*
+* @example
+* 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 xbuf = new Complex64Array( [ 2.0, 2.0 ] );
+* var ybuf = new Complex64Array( 6 );
+*
+* // Define the shape of the output array:
+* var shape = [ 3, 1, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 0 ];
+* var sy = [ 2, 2, 1 ];
+*
+* // Define the index offsets:
+* var ox = 0;
+* var oy = 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 x = {
+*     'dtype': 'complex64',
+*     'data': xbuf,
+*     '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 ]
+* };
+*
+* // Assign scalar:
+* assignnd( x, y );
+*
+* var v = y.data.get( 0 );
+*
+* var re = realf( v );
+* // returns 2.0
+*
+* var im = imagf( v );
+* // returns 2.0
+*/
+function assignnd( x, y ) {
+	var xbuf;
+	var ybuf;
+	var ordy;
+	var len;
+	var get;
+	var set;
+	var shy;
+	var sy;
+	var oy;
+	var ix;
+	var iy;
+	var i;
+
+	shy = y.shape;
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( shy );
+
+	// Cache references to the input and output ndarray data buffers:
+	xbuf = x.data;
+	ybuf = y.data;
+
+	// Cache references to the respective stride arrays:
+	sy = y.strides;
+
+	// Cache the index of the first indexed element in the input ndarray:
+	ix = x.offset;
+
+	// Cache the index of the first indexed element in the output ndarray:
+	oy = y.offset;
+
+	// Cache the output array order:
+	ordy = y.order;
+
+	// Cache accessors:
+	get = x.accessors[0];
+	set = y.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++ ) {
+		iy = vind2bind( shy, sy, oy, ordy, i, MODE );
+		set( ybuf, iy, get( xbuf, ix ) );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = assignnd;
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/package.json b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/package.json
new file mode 100644
index 000000000000..ef820a963163
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/package.json
@@ -0,0 +1,62 @@
+{
+  "name": "@stdlib/ndarray/base/assign-scalar",
+  "version": "0.0.0",
+  "description": "Assign a scalar value to every element of 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",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "base",
+    "strided",
+    "array",
+    "ndarray",
+    "assign",
+    "scalar",
+    "copy"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.0d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.0d.js
new file mode 100644
index 000000000000..32e82d1e2fc6
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.0d.js
@@ -0,0 +1,79 @@
+/**
+* @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 isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' );
+var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var assignScalar = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof assignScalar, 'function', 'main export is a function');
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each element of a 0-dimensional output ndarray', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = scalar2ndarray( 0.0, {
+		'dtype': 'float64'
+	});
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( [ 10.0 ] );
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each element of a 0-dimensional output ndarray (accessors)', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = scalar2ndarray( new Complex128( 0.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': 'complex128'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( [ 10.0, 10.0 ] );
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.1d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.1d.js
new file mode 100644
index 000000000000..ce3f230e63ff
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.1d.js
@@ -0,0 +1,126 @@
+/**
+* @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 isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' );
+var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Float64Array = require( '@stdlib/array/float64' );
+var zeros = require( '@stdlib/array/zeros' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/ctor' );
+var assignScalar = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof assignScalar, 'function', 'main export is a function');
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 1-dimensional output ndarray', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = ndarray( 'float64', zeros( 8, 'float64' ), [ 4 ], [ 2 ], 1, 'row-major' );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		0.0,
+		10.0,
+		0.0,
+		10.0,
+		0.0,
+		10.0,
+		0.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 1-dimensional output ndarray (empty array)', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = ndarray( 'float64', zeros( 8, 'float64' ), [ 0 ], [ 1 ], 0, 'row-major' );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 1-dimensional output ndarray (accessors)', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = ndarray( 'complex128', zeros( 6, 'complex128' ), [ 4 ], [ 1 ], 1, 'row-major' );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': 'complex128'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.2d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.2d.js
new file mode 100644
index 000000000000..1771aeeae7ff
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.2d.js
@@ -0,0 +1,1133 @@
+/**
+* @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 isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' );
+var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Float64Array = require( '@stdlib/array/float64' );
+var zeros = require( '@stdlib/array/zeros' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+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 assignScalar = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof assignScalar, 'function', 'main export is a function');
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, singleton dimensions)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, empty)', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0 ], [ 1, 1 ], 0, 'row-major' );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, contiguous)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, contiguous, negative strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 1 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 1 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ -2, -1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, 1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2 ];
+	st = [ 4, -1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ -4, 2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 1 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 1 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, singleton dimensions)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 4 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, singleton dimensions, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 4, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, empty)', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0 ], [ 1, 1 ], 0, 'column-major' );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, contiguous)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, contiguous, negative strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, 4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, -4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ 2, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ -1, -2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, 4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2 ];
+	st = [ 1, -4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 8, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2 ];
+	st = [ 2, -bsize*4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 0 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 2-dimensional output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2 ];
+	st = [ -2, 4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 0 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.3d.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.3d.js
new file mode 100644
index 000000000000..67111e4b9903
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.3d.js
@@ -0,0 +1,1269 @@
+/**
+* @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 isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' );
+var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Float64Array = require( '@stdlib/array/float64' );
+var zeros = require( '@stdlib/array/zeros' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+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 assignScalar = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof assignScalar, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, singleton dimensions)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, singleton dimensions, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 4, 1, 1 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, empty)', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'row-major' );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, contiguous)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, contiguous, negative strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -4, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, same sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 3, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -3, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 1, 2 ];
+	st = [ -4, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 2 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ -bsize*8, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 2 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, 2, bsize*2 ];
+	st = [ bsize*8, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 2 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, contiguous, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, -10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		-10.0,
+		10.0,
+		-10.0,
+		10.0,
+		-10.0,
+		10.0,
+		-10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, contiguous, negative strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -4, -2, -1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 3, 2, 1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -3, -2, 1 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 1, 2 ];
+	st = [ -4, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 2 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, bsize*2, 2 ];
+	st = [ -bsize*8, -4, 2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 2 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (row-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'row-major';
+
+	bsize = blockSize( dt );
+	sh = [ 1, 2, bsize*2 ];
+	st = [ bsize*8, bsize*4, -2 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 2 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, singleton dimensions)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 1, 1, 4 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, singleton dimensions, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 1, 1, 4 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, empty)', function test( t ) {
+	var expected;
+	var v;
+	var y;
+
+	y = ndarray( 'float64', zeros( 4, 'float64' ), [ 0, 0, 0 ], [ 1, 1, 1 ], 0, 'column-major' );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': 'float64'
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, contiguous)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, contiguous, negative strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, same sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, 2, 3 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, mixed sign strides)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -1, -2, 3 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array([
+		10.0,
+		10.0,
+		0.0,
+		10.0,
+		10.0,
+		0.0
+	]);
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 1, 2 ];
+	st = [ -2, bsize*4, bsize*4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ 2, -4, -bsize*8 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, large arrays)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'float64';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ 2, -4, -4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( 10.0, {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Float64Array( y.length*2 );
+	dfill( y.length, 10.0, expected, st[ 0 ] );
+
+	t.strictEqual( isSameFloat64Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, contiguous, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = shape2strides( sh, ord );
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, -10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		-10.0,
+		10.0,
+		-10.0,
+		10.0,
+		-10.0,
+		10.0,
+		-10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, contiguous, negative strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 2, 2 ];
+	st = [ -1, -2, -4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh ), dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, same sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ 1, 2, 3 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, mixed sign strides, accessors)', function test( t ) {
+	var expected;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+	sh = [ 2, 1, 2 ];
+	st = [ -1, -2, 3 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( 6, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array([
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0,
+		10.0,
+		10.0,
+		10.0,
+		10.0,
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ bsize*2, 2, 1 ];
+	st = [ 2, -bsize*4, -bsize*8 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 0 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, bsize*2, 1 ];
+	st = [ -2, 4, bsize*8 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 0 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function assigns a scalar value to each indexed element of a 3-dimensional output ndarray (column-major, non-contiguous, large arrays, accessors)', function test( t ) {
+	var expected;
+	var bsize;
+	var ord;
+	var sh;
+	var st;
+	var dt;
+	var o;
+	var v;
+	var y;
+
+	dt = 'complex128';
+	ord = 'column-major';
+
+	bsize = blockSize( dt );
+	sh = [ 2, 1, bsize*2 ];
+	st = [ 2, -4, 4 ];
+	o = strides2offset( sh, st );
+
+	y = ndarray( dt, zeros( numel( sh )*2, dt ), sh, st, o, ord );
+
+	v = scalar2ndarray( new Complex128( 10.0, 10.0 ), {
+		'dtype': dt
+	});
+	assignScalar( [ v, y ] );
+
+	expected = new Complex128Array( y.length*2 );
+	gfill( y.length, new Complex128( 10.0, 10.0 ), expected, st[ 0 ] );
+
+	t.strictEqual( isSameComplex128Array( y.data, expected ), true, 'returns expected value' );
+
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.js b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.js
new file mode 100644
index 000000000000..b7a624eb4aa1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/assign-scalar/test/test.js
@@ -0,0 +1,33 @@
+/**
+* @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 assignScalar = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof assignScalar, 'function', 'main export is a function' );
+	t.end();
+});