From 48f11f3b1fab506983cf286c2c24cd5cf1f5e840 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 27 Sep 2026 22:37:11 +0500
Subject: [PATCH 1/4] feat: add
 ndarray/base/kernels/generic/nullary-strided1d-by

---
 .../nullary-strided1d-by/blocked/README.md    | 581 +++++++++++++
 .../blocked/docs/repl.txt                     | 149 ++++
 .../blocked/examples/index.js                 | 120 +++
 .../nullary-strided1d-by/blocked/lib/2d.js    | 256 ++++++
 .../nullary-strided1d-by/blocked/lib/3d.js    | 279 ++++++
 .../blocked/lib/callback_wrapper.js           |  72 ++
 .../nullary-strided1d-by/blocked/lib/index.js | 144 ++++
 .../nullary-strided1d-by/blocked/lib/main.js  | 154 ++++
 .../nullary-strided1d-by/blocked/package.json |  65 ++
 .../nullary-strided1d-by/blocked/test/test.js |  35 +
 .../nullary-strided1d-by/linear/README.md     | 320 +++++++
 .../nullary-strided1d-by/linear/docs/repl.txt |  62 ++
 .../linear/examples/index.js                  | 117 +++
 .../linear/lib/callback_wrapper.js            |  72 ++
 .../nullary-strided1d-by/linear/lib/index.js  | 132 +++
 .../nullary-strided1d-by/linear/lib/main.js   | 208 +++++
 .../nullary-strided1d-by/linear/package.json  |  65 ++
 .../nullary-strided1d-by/linear/test/test.js  |  35 +
 .../nullary-strided1d-by/strategy/README.md   | 207 +++++
 .../strategy/docs/repl.txt                    |  43 +
 .../strategy/examples/index.js                | 120 +++
 .../strategy/lib/index.js                     |  50 ++
 .../nullary-strided1d-by/strategy/lib/main.js | 283 ++++++
 .../strategy/package.json                     |  61 ++
 .../strategy/test/test.js                     |  35 +
 .../nullary-strided1d-by/unblocked/README.md  | 807 ++++++++++++++++++
 .../unblocked/docs/repl.txt                   | 254 ++++++
 .../unblocked/examples/index.js               | 120 +++
 .../nullary-strided1d-by/unblocked/lib/0d.js  | 139 +++
 .../nullary-strided1d-by/unblocked/lib/1d.js  | 194 +++++
 .../nullary-strided1d-by/unblocked/lib/2d.js  | 226 +++++
 .../nullary-strided1d-by/unblocked/lib/3d.js  | 242 ++++++
 .../unblocked/lib/callback_wrapper.js         |  72 ++
 .../unblocked/lib/index.js                    | 148 ++++
 .../unblocked/lib/main.js                     | 158 ++++
 .../unblocked/package.json                    |  64 ++
 .../unblocked/test/test.js                    |  35 +
 37 files changed, 6124 insertions(+)
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diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md
new file mode 100644
index 000000000000..b94588359475
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md
@@ -0,0 +1,581 @@
+<!--
+
+@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.
+
+-->
+
+# kernel
+
+> Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
+```
+
+#### kernel( ndims )
+
+Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Resolve a kernel:
+var f = kernel( 2 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+```
+
+The function accepts the following arguments:
+
+-   **ndims**: number of loop dimensions.
+
+If the function is provided `ndims < 2` or a value greater than the maximum number of supported loop dimensions, the function returns `null`.
+
+```javascript
+var f = kernel( 100000 );
+// returns null
+```
+
+The returned function accepts the following arguments:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel2d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Apply strided function:
+kernel.kernel2d( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have two elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel3d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Apply strided function:
+kernel.kernel3d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have three elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The strided array function is expected to have the following signature:
+
+    ```text
+    fcn( arrays[, options], clbk )
+    ```
+
+    where
+
+    -   **arrays**: array containing a one-dimensional subarray of the input ndarray and any additional ndarray arguments as subarrays.
+    -   **options**: function options (_optional_).
+    -   **clbk**: callback function.
+
+-   The callback function is provided the following arguments:
+
+    -   **value**: current array element.
+    -   **idx**: current array element indices.
+    -   **arr**: the original input ndarray.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint-disable max-len -->
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
+
+function clbk( value, idx ) {
+    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Resolve a kernel:
+var f = kernel( 3 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
new file mode 100644
index 000000000000..4c8057f0841f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
@@ -0,0 +1,149 @@
+
+{{alias}}( ndims )
+    Returns a kernel for applying a one-dimensional strided array function to
+    an input ndarray according to a callback function using loop blocking.
+
+    The returned function has the following parameters:
+
+    - fcn: function which will be applied to a one-dimensional input subarray
+    according to a callback function.
+    - arrays: array containing an input ndarray descriptor, followed by any
+    additional ndarray arguments.
+    - ref: original input ndarray provided to a callback function.
+    - views: initialized ndarray descriptors representing subarray views.
+    - shape: loop dimensions.
+    - stridesX: loop dimension strides for the input ndarray.
+    - strategyX: strategy for marshaling data to and from an input ndarray
+    view.
+    - ibuf: workspace for storing iteration indices.
+    - ldims: list of loop dimensions.
+    - cdims: list of "core" dimensions.
+    - options: function options which are passed through to `fcn`.
+    - hasOpts: boolean indicating whether to pass an options argument to a
+    strided array function.
+    - clbk: callback function.
+    - thisArg: callback execution context.
+
+    If `ndims < 2` or greater than the maximum supported number of loop
+    dimensions, the function returns `null`.
+
+    Parameters
+    ----------
+    ndims: integer
+        Number of loop dimensions.
+
+    Returns
+    -------
+    fcn: Function|null
+        Kernel function.
+
+    Examples
+    --------
+    > var f = {{alias}}( 2 )
+    <Function>
+
+
+{{alias}}.kernel2d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function via loop blocking.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any
+        additional ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have two elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel3d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function via loop blocking.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any
+        additional ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have three elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js
new file mode 100644
index 000000000000..1c93f3555ca7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js
@@ -0,0 +1,120 @@
+/**
+* @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-len */
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var kernel = require( './../lib' );
+
+function clbk( value, idx ) {
+	return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+	'dtype': 'float64',
+	'data': xbuf,
+	'shape': xsh,
+	'strides': sx,
+	'offset': ox,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 0.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 4.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+	{
+		'dtype': x.dtype,
+		'data': x.data,
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': x.offset,
+		'order': x.order
+	},
+	{
+		'dtype': start.dtype,
+		'data': start.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': start.offset,
+		'order': start.order
+	},
+	{
+		'dtype': end.dtype,
+		'data': end.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': end.offset,
+		'order': end.order
+	}
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Resolve a kernel:
+var f = kernel( 3 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js
new file mode 100644
index 000000000000..e9e05ffb1859
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js
@@ -0,0 +1,256 @@
+/**
+* @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-len, max-params */
+
+'use strict';
+
+// MODULES //
+
+var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
+var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
+var takeIndexed = require( '@stdlib/array/base/take-indexed' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var bsize;
+	var dv0;
+	var dv1;
+	var ov1;
+	var sh;
+	var s0;
+	var s1;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var j0;
+	var j1;
+	var N;
+	var x;
+	var v;
+	var o;
+	var k;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	N = arrays.length;
+	x = arrays[ 0 ];
+
+	// Resolve the loop interchange order:
+	o = loopOrder( shape, stridesX );
+	sh = o.sh;
+	sv = [ o.sx ];
+	for ( k = 1; k < N; k++ ) {
+		sv.push( takeIndexed( arrays[k].strides, o.idx ) );
+	}
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	ov = offsets( arrays );
+
+	// Cache offset increments for the innermost loop...
+	dv0 = [];
+	for ( k = 0; k < N; k++ ) {
+		dv0.push( sv[k][0] );
+	}
+	// Initialize loop variables...
+	ov1 = zeros( N );
+	dv1 = zeros( N );
+	iv = zeros( N );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over blocks...
+	for ( j1 = sh[1]; j1 > 0; ) {
+		if ( j1 < bsize ) {
+			s1 = j1;
+			j1 = 0;
+		} else {
+			s1 = bsize;
+			j1 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov1[ k ] = ov[k] + ( j1*sv[k][1] );
+		}
+		for ( j0 = sh[0]; j0 > 0; ) {
+			if ( j0 < bsize ) {
+				s0 = j0;
+				j0 = 0;
+			} else {
+				s0 = bsize;
+				j0 -= bsize;
+			}
+			// Compute index offsets and loop offset increments for the first ndarray elements in the current block...
+			for ( k = 0; k < N; k++ ) {
+				iv[ k ] = ov1[k] + ( j0*sv[k][0] );
+				dv1[ k ] = sv[k][1] - ( s0*sv[k][0] );
+			}
+			// Iterate over the loop dimensions...
+			for ( i1 = 0; i1 < s1; i1++ ) {
+				for ( i0 = 0; i0 < s0; i0++ ) {
+					setViewOffsets( views, iv );
+					v[ 0 ] = strategyX.input( views[ 0 ] );
+					f = wrap( ref, views[ 0 ], ibuf, ldims, [ j1+i1, j0+i0 ], cdims, clbk, thisArg );
+					if ( hasOpts ) {
+						fcn( v, opts, f );
+					} else {
+						fcn( v, f );
+					}
+					strategyX.output( views[ 0 ] );
+					incrementOffsets( iv, dv0 );
+				}
+				incrementOffsets( iv, dv1 );
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js
new file mode 100644
index 000000000000..d6509e37e361
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js
@@ -0,0 +1,279 @@
+/**
+* @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-len, max-params, 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' );
+var takeIndexed = require( '@stdlib/array/base/take-indexed' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 3 ],
+*     'strides': [ 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 3 ],
+*     'strides': [ 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2 ];
+* var cdims = [ 3, 4 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var ov1;
+	var ov2;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var j0;
+	var j1;
+	var j2;
+	var N;
+	var x;
+	var v;
+	var o;
+	var k;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
+
+	N = arrays.length;
+	x = arrays[ 0 ];
+
+	// Resolve the loop interchange order:
+	o = loopOrder( shape, stridesX );
+	sh = o.sh;
+	sv = [ o.sx ];
+	for ( k = 1; k < N; k++ ) {
+		sv.push( takeIndexed( arrays[k].strides, o.idx ) );
+	}
+	// Determine the block size:
+	bsize = blockSize( x.dtype );
+
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	ov = offsets( arrays );
+
+	// Cache offset increments for the innermost loop...
+	dv0 = [];
+	for ( k = 0; k < N; k++ ) {
+		dv0.push( sv[k][0] );
+	}
+	// Initialize loop variables...
+	ov1 = zeros( N );
+	ov2 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	iv = zeros( N );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over blocks...
+	for ( j2 = sh[2]; j2 > 0; ) {
+		if ( j2 < bsize ) {
+			s2 = j2;
+			j2 = 0;
+		} else {
+			s2 = bsize;
+			j2 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov2[ k ] = ov[k] + ( j2*sv[k][2] );
+		}
+		for ( j1 = sh[1]; j1 > 0; ) {
+			if ( j1 < bsize ) {
+				s1 = j1;
+				j1 = 0;
+			} else {
+				s1 = bsize;
+				j1 -= bsize;
+			}
+			for ( k = 0; k < N; k++ ) {
+				ov1[ k ] = ov2[k] + ( j1*sv[k][1] );
+				dv2[ k ] = sv[k][2] - ( s1*sv[k][1] );
+			}
+			for ( j0 = sh[0]; j0 > 0; ) {
+				if ( j0 < bsize ) {
+					s0 = j0;
+					j0 = 0;
+				} else {
+					s0 = bsize;
+					j0 -= bsize;
+				}
+				// Compute index offsets and loop offset increments for the first ndarray elements in the current block...
+				for ( k = 0; k < N; k++ ) {
+					iv[ k ] = ov1[k] + ( j0*sv[k][0] );
+					dv1[ k ] = sv[k][1] - ( s0*sv[k][0] );
+				}
+				// Iterate over the loop dimensions...
+				for ( i2 = 0; i2 < s2; i2++ ) {
+					for ( i1 = 0; i1 < s1; i1++ ) {
+						for ( i0 = 0; i0 < s0; i0++ ) {
+							setViewOffsets( views, iv );
+							v[ 0 ] = strategyX.input( views[ 0 ] );
+							f = wrap( ref, views[ 0 ], ibuf, ldims, [ j2+i2, j1+i1, j0+i0 ], cdims, clbk, thisArg );
+							if ( hasOpts ) {
+								fcn( v, opts, f );
+							} else {
+								fcn( v, f );
+							}
+							strategyX.output( views[ 0 ] );
+							incrementOffsets( iv, dv0 );
+						}
+						incrementOffsets( iv, dv1 );
+					}
+					incrementOffsets( iv, dv2 );
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.js
new file mode 100644
index 000000000000..ad25b5d7bbcf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.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';
+
+// MODULES //
+
+var put = require( '@stdlib/array/base/put' );
+var ind2sub = require( '@stdlib/ndarray/base/ind2sub' ).assign;
+var zeros = require( '@stdlib/array/base/zeros' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Wraps a provided callback function.
+*
+* @private
+* @param {ndarray} arr - input ndarray
+* @param {ndarray} view - subarray view of the input ndarray
+* @param {NonNegativeIntegerArray} idx - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - loop dimensions
+* @param {NonNegativeIntegerArray} lidx - current loop iteration indices
+* @param {NonNegativeIntegerArray} cdims - core dimensions
+* @param {Function} clbk - callback function
+* @param {thisArg} thisArg - callback execution context
+* @returns {Function} callback wrapper
+*/
+function wrap( arr, view, idx, ldims, lidx, cdims, clbk, thisArg ) {
+	var cidx = zeros( cdims.length ); // workspace for storing core iteration indices
+	put( idx, ldims, lidx, MODE );
+	return wrapper;
+
+	/**
+	* Invokes a callback function.
+	*
+	* @private
+	* @param {*} v - value
+	* @param {NonNegativeInteger} aidx - current array element index
+	* @returns {*} result
+	*/
+	function wrapper( v, aidx ) {
+		ind2sub( view.shape, view.strides, view.offset, view.order, aidx, MODE, cidx ); // eslint-disable-line max-len
+		put( idx, cdims, cidx, MODE );
+		return clbk.call( thisArg, v, idx.slice(), arr );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = wrap;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
new file mode 100644
index 000000000000..dfdf4d55e482
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
@@ -0,0 +1,144 @@
+/**
+* @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';
+
+/**
+* Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
+*
+* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Resolve a kernel:
+* var f = kernel( 2 );
+*
+* // Apply strided function:
+* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var kernel2d = require( './2d.js' );
+var kernel3d = require( './3d.js' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'kernel2d', kernel2d );
+setReadOnly( main, 'kernel3d', kernel3d );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js
new file mode 100644
index 000000000000..074af133012f
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js
@@ -0,0 +1,154 @@
+/**
+* @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 kernel2d = require( './2d.js' );
+var kernel3d = require( './3d.js' );
+
+
+// VARIABLES //
+
+var KERNELS = [
+	kernel2d,
+	kernel3d
+];
+var MAX_DIMS = KERNELS.length + 1;
+
+
+// MAIN //
+
+/**
+* Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
+*
+* @param {integer} ndims - number of loop dimensions
+* @returns {(Function|null)} kernel function or null
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Resolve a kernel:
+* var f = kernel( 2 );
+*
+* // Apply strided function:
+* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+function kernel( ndims ) {
+	if ( ndims < 2 || ndims > MAX_DIMS ) {
+		return null;
+	}
+	return KERNELS[ ndims-2 ];
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json
new file mode 100644
index 000000000000..5b9f3be3c9bc
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json
@@ -0,0 +1,65 @@
+{
+  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked",
+  "version": "0.0.0",
+  "description": "Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.",
+  "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": {
+    "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",
+    "nullary",
+    "apply",
+    "fill",
+    "callback",
+    "vector",
+    "kernel",
+    "blocked"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js
new file mode 100644
index 000000000000..053851cfb7f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js
@@ -0,0 +1,35 @@
+/**
+* @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 kernel = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof kernel, 'function', 'main export is a function' );
+	t.end();
+});
+
+// FIXME: add tests
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md
new file mode 100644
index 000000000000..538a115ff2ea
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md
@@ -0,0 +1,320 @@
+<!--
+
+@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.
+
+-->
+
+# kernel
+
+> Apply a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
+```
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Apply strided function:
+kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+The function iterates based on the linear **view** index, regardless as to how the data is stored in memory.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The strided array function is expected to have the following signature:
+
+    ```text
+    fcn( arrays[, options], clbk )
+    ```
+
+    where
+
+    -   **arrays**: array containing a one-dimensional subarray of the input ndarray and any additional ndarray arguments as subarrays.
+    -   **options**: function options (_optional_).
+    -   **clbk**: callback function.
+
+-   The callback function is provided the following arguments:
+
+    -   **value**: current array element.
+    -   **idx**: current array element indices.
+    -   **arr**: the original input ndarray.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint-disable max-len -->
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
+
+function clbk( value, idx ) {
+    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Apply strided function:
+kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
new file mode 100644
index 000000000000..98d364017b81
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
@@ -0,0 +1,62 @@
+
+{{alias}}( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function using linear view iteration.
+
+    The function iterates based on the linear view index, regardless as to how
+    the data is stored in memory.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any
+        additional ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+    Examples
+    --------
+    > var f = {{alias}}
+    <Function>
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js
new file mode 100644
index 000000000000..c56bd7b29f93
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js
@@ -0,0 +1,117 @@
+/**
+* @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-len */
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var kernel = require( './../lib' );
+
+function clbk( value, idx ) {
+	return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+	'dtype': 'float64',
+	'data': xbuf,
+	'shape': xsh,
+	'strides': sx,
+	'offset': ox,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 0.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 4.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+	{
+		'dtype': x.dtype,
+		'data': x.data,
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': x.offset,
+		'order': x.order
+	},
+	{
+		'dtype': start.dtype,
+		'data': start.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': start.offset,
+		'order': start.order
+	},
+	{
+		'dtype': end.dtype,
+		'data': end.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': end.offset,
+		'order': end.order
+	}
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Apply strided function:
+kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js
new file mode 100644
index 000000000000..ad25b5d7bbcf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.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';
+
+// MODULES //
+
+var put = require( '@stdlib/array/base/put' );
+var ind2sub = require( '@stdlib/ndarray/base/ind2sub' ).assign;
+var zeros = require( '@stdlib/array/base/zeros' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Wraps a provided callback function.
+*
+* @private
+* @param {ndarray} arr - input ndarray
+* @param {ndarray} view - subarray view of the input ndarray
+* @param {NonNegativeIntegerArray} idx - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - loop dimensions
+* @param {NonNegativeIntegerArray} lidx - current loop iteration indices
+* @param {NonNegativeIntegerArray} cdims - core dimensions
+* @param {Function} clbk - callback function
+* @param {thisArg} thisArg - callback execution context
+* @returns {Function} callback wrapper
+*/
+function wrap( arr, view, idx, ldims, lidx, cdims, clbk, thisArg ) {
+	var cidx = zeros( cdims.length ); // workspace for storing core iteration indices
+	put( idx, ldims, lidx, MODE );
+	return wrapper;
+
+	/**
+	* Invokes a callback function.
+	*
+	* @private
+	* @param {*} v - value
+	* @param {NonNegativeInteger} aidx - current array element index
+	* @returns {*} result
+	*/
+	function wrapper( v, aidx ) {
+		ind2sub( view.shape, view.strides, view.offset, view.order, aidx, MODE, cidx ); // eslint-disable-line max-len
+		put( idx, cdims, cidx, MODE );
+		return clbk.call( thisArg, v, idx.slice(), arr );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = wrap;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js
new file mode 100644
index 000000000000..7d47221b96d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js
@@ -0,0 +1,132 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Apply a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+*
+* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js
new file mode 100644
index 000000000000..dee8637de4e2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.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-len, max-params */
+
+'use strict';
+
+// MODULES //
+
+var numel = require( '@stdlib/ndarray/base/numel' );
+var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
+var ind2sub = require( '@stdlib/ndarray/base/ind2sub' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
+*
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var len;
+	var arr;
+	var sub;
+	var iv;
+	var io;
+	var N;
+	var x;
+	var v;
+	var i;
+	var j;
+	var f;
+
+	N = arrays.length;
+
+	// Cache a reference to the input ndarray:
+	x = arrays[ 0 ];
+
+	// Compute the total number of elements over which to iterate:
+	len = numel( shape );
+
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate based on the linear **view** index, regardless as to how the data is stored in memory...
+	io = zeros( N );
+	for ( i = 0; i < len; i++ ) {
+		for ( j = 0; j < N; j++ ) {
+			arr = arrays[ j ];
+			io[ j ] = vind2bind( shape, arr.strides, iv[ j ], arr.order, i, MODE );
+		}
+		setViewOffsets( views, io );
+		v[ 0 ] = strategyX.input( views[ 0 ] );
+		sub = ind2sub( shape, stridesX, 0, x.order, i, MODE );
+		f = wrap( ref, views[ 0 ], ibuf, ldims, sub, cdims, clbk, thisArg );
+		if ( hasOpts ) {
+			fcn( v, opts, f );
+		} else {
+			fcn( v, f );
+		}
+		strategyX.output( views[ 0 ] );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json
new file mode 100644
index 000000000000..909513f56257
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json
@@ -0,0 +1,65 @@
+{
+  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear",
+  "version": "0.0.0",
+  "description": "Apply a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.",
+  "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": {
+    "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",
+    "nullary",
+    "apply",
+    "fill",
+    "callback",
+    "vector",
+    "kernel",
+    "linear"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js
new file mode 100644
index 000000000000..053851cfb7f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js
@@ -0,0 +1,35 @@
+/**
+* @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 kernel = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof kernel, 'function', 'main export is a function' );
+	t.end();
+});
+
+// FIXME: add tests
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/README.md
new file mode 100644
index 000000000000..d16c35374a8e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/README.md
@@ -0,0 +1,207 @@
+<!--
+
+@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.
+
+-->
+
+# strategy
+
+> Return an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+```
+
+#### strategy( x )
+
+Returns an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+    'shape': [ 1 ],
+    'strides': [ 1 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+var out = strategy( x );
+// returns {...}
+```
+
+The function accepts the following arguments:
+
+-   **x**: ndarray [descriptor][@stdlib/ndarray/base/descriptor].
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The function returns an object having the following properties:
+
+    -   **input**: function providing a strategy for reshaping an input ndarray to a one-dimensional input ndarray view **prior** to applying a one-dimensional strided array function.
+    -   **output**: function providing a strategy for reshaping the results of a one-dimensional strided array function to the shape of an input ndarray **after** applying a one-dimensional strided array function. This function should only be invoked for input ndarrays which are written to by the one-dimensional strided array function.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint-disable max-len -->
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var resolveKernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Resolve a kernel:
+var kernel = resolveKernel( 2 );
+
+// Apply strided function:
+kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/docs/repl.txt
new file mode 100644
index 000000000000..cda7cabbf51b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/docs/repl.txt
@@ -0,0 +1,43 @@
+
+{{alias}}( x )
+    Returns an object containing methods for reshaping an ndarray as a one-
+    dimensional strided array view.
+
+    Parameters
+    ----------
+    x: Object
+        Descriptor.
+
+    Returns
+    -------
+    out: Object
+        Object containing an input and output strategy.
+
+    out.input: Function
+        Function providing a strategy for reshaping an input ndarray to a one-
+        dimensional input ndarray view prior to applying a one-dimensional
+        strided array function.
+
+    out.output: Function
+        Function providing a strategy for reshaping the results of a one-
+        dimensional strided array function to the shape of an input ndarray
+        after applying a one-dimensional strided array function. This function
+        should only be invoked for input ndarrays which are written to by the
+        one-dimensional strided array function.
+
+    Examples
+    --------
+    > var x = {
+    ...   'dtype': 'float64',
+    ...   'data': new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] ),
+    ...   'shape': [ 1 ],
+    ...   'strides': [ 1 ],
+    ...   'offset': 0,
+    ...   'order': 'row-major'
+    ... };
+    > var o = {{alias}}( x )
+    {...}
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/examples/index.js
new file mode 100644
index 000000000000..2a60cb1f1a45
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/examples/index.js
@@ -0,0 +1,120 @@
+/**
+* @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-len */
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var resolveKernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
+var strategy = require( './../lib' );
+
+function clbk( value, idx ) {
+	return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+	'dtype': 'float64',
+	'data': xbuf,
+	'shape': xsh,
+	'strides': sx,
+	'offset': ox,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 0.0 ] ),
+	'shape': [ 1, 3 ],
+	'strides': [ 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 4.0 ] ),
+	'shape': [ 1, 3 ],
+	'strides': [ 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+	{
+		'dtype': x.dtype,
+		'data': x.data,
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': x.offset,
+		'order': x.order
+	},
+	{
+		'dtype': start.dtype,
+		'data': start.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': start.offset,
+		'order': start.order
+	},
+	{
+		'dtype': end.dtype,
+		'data': end.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': end.offset,
+		'order': end.order
+	}
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Resolve a kernel:
+var kernel = resolveKernel( 2 );
+
+// Apply strided function:
+kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/index.js
new file mode 100644
index 000000000000..d656140f45fa
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/index.js
@@ -0,0 +1,50 @@
+/**
+* @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';
+
+/**
+* Return an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
+*
+* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* var x = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+*     'shape': [ 1 ],
+*     'strides': [ 1 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* var out = strategy( x );
+* // returns {...}
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/main.js
new file mode 100644
index 000000000000..45d344b42a93
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/main.js
@@ -0,0 +1,283 @@
+/**
+* @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 iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
+var minmaxViewBufferIndex = require( '@stdlib/ndarray/base/minmax-view-buffer-index' ).assign;
+var ndarraylike2descriptor = require( '@stdlib/ndarray/base/ndarraylike2descriptor' );
+var assign = require( '@stdlib/ndarray/base/assign' );
+var descriptor = require( '@stdlib/ndarray/base/descriptor' );
+var empty = require( '@stdlib/ndarray/base/empty' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns an input ndarray.
+*
+* @private
+* @param {Object} x - input ndarray descriptor
+* @returns {Object} input ndarray descriptor
+*/
+function identity( x ) {
+	return x;
+}
+
+/**
+* Broadcasts a zero-dimensional ndarray to a one-dimensional ndarray view containing a single element.
+*
+* @private
+* @param {Object} x - input ndarray descriptor
+* @returns {Object} broadcasted ndarray view descriptor
+*/
+function broadcast( x ) {
+	return descriptor( x.dtype, x.data, [ 1 ], [ 0 ], x.offset, x.order );
+}
+
+/**
+* Returns a function which returns an ndarray view in which the singleton dimensions are removed from an input ndarray having only one non-singleton dimension.
+*
+* @private
+* @param {Object} arr - original ndarray descriptor
+* @param {integer} index - index of the non-singleton dimension
+* @returns {Function} function for returning an ndarray view
+*/
+function squeeze( arr, index ) {
+	var sh = [ arr.shape[ index ] ];
+	var sx = [ arr.strides[ index ] ];
+	return reshape;
+
+	/**
+	* Returns an ndarray view in which the singleton dimensions are removed from an input ndarray having only one non-singleton dimension.
+	*
+	* @private
+	* @param {Object} x - input ndarray descriptor
+	* @returns {Object} a squeezed ndarray view descriptor
+	*/
+	function reshape( x ) {
+		return descriptor( x.dtype, x.data, sh, sx, x.offset, x.order );
+	}
+}
+
+/**
+* Returns a function which returns a one-dimensional ndarray view of a contiguous input ndarray having more than one dimension.
+*
+* @private
+* @param {integer} len - number of elements in an ndarray
+* @param {integer} iox - iteration order
+* @returns {Function} function for returning a one-dimensional ndarray view
+*/
+function contiguous( len, iox ) {
+	var xmmv;
+	var ind;
+	var sh;
+	var sx;
+
+	// Resolve the index of the min/max view buffer element which is the first indexed element...
+	if ( iox === 1 ) {
+		ind = 0;
+	} else {
+		ind = 1;
+	}
+	// Initialize an array for storing the min/max view buffer elements:
+	xmmv = [ 0, 0 ]; // [ min, max ]
+
+	// Initialize the output one-dimensional view's shape and strides:
+	sh = [ len ];
+	sx = [ iox ];
+
+	return reshape;
+
+	/**
+	* Returns a one-dimensional ndarray view of a contiguous input ndarray having more than one dimension.
+	*
+	* @private
+	* @param {Object} x - input ndarray descriptor
+	* @returns {Object} a one-dimensional ndarray view descriptor
+	*/
+	function reshape( x ) {
+		// Resolve the minimum and maximum linear indices in the underlying data buffer which are accessible to the input ndarray view:
+		minmaxViewBufferIndex( x.shape, x.strides, x.offset, xmmv );
+
+		// Note: `xmmv[ ind ]` corresponds to the index of the first indexed element
+		return descriptor( x.dtype, x.data, sh, sx, xmmv[ ind ], x.order );
+	}
+}
+
+/**
+* Returns a function which copies an input ndarray to a contiguous ndarray workspace.
+*
+* @private
+* @param {integer} len - number of elements in an ndarray
+* @param {Object} workspace - ndarray workspace descriptor
+* @returns {Function} function which copies an input ndarray to a contiguous ndarray workspace
+*/
+function copyToWorkspace( len, workspace ) {
+	var view = descriptor( workspace.dtype, workspace.data, [ len ], [ 1 ], workspace.offset, workspace.order ); // eslint-disable-line max-len
+	return reshape;
+
+	/**
+	* Copies an input ndarray to a contiguous ndarray workspace and returns a one-dimensional workspace view.
+	*
+	* @private
+	* @param {Object} x - input ndarray descriptor
+	* @returns {Object} one-dimensional workspace view descriptor
+	*/
+	function reshape( x ) {
+		assign( [ x, workspace ] );
+		return view;
+	}
+}
+
+/**
+* Returns a function which copies from a contiguous ndarray workspace to an input ndarray.
+*
+* @private
+* @param {Object} workspace - ndarray workspace descriptor
+* @returns {Function} function which copies from a contiguous ndarray workspace to an input ndarray
+*/
+function copyFromWorkspace( workspace ) {
+	return copy;
+
+	/**
+	* Copies from a contiguous ndarray workspace to an input ndarray.
+	*
+	* @private
+	* @param {Object} x - input ndarray descriptor
+	* @returns {Object} input ndarray descriptor
+	*/
+	function copy( x ) {
+		assign( [ workspace, x ] );
+		return x;
+	}
+}
+
+
+// MAIN //
+
+/**
+* Returns an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
+*
+* @param {Object} x - ndarray descriptor
+* @param {*} x.dtype - ndarray data type
+* @param {Collection} x.data - ndarray data buffer
+* @param {Array<integer>} x.shape - ndarray shape
+* @param {Array<integer>} x.strides - ndarray strides
+* @param {integer} x.offset - ndarray index offset
+* @param {string} x.order - ndarray memory layout
+* @returns {Object} object containing methods implementing a reshape strategy
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var x = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
+*     'shape': [ 1 ],
+*     'strides': [ 1 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* var out = strategy( x );
+* // returns {...}
+*/
+function strategy( x ) {
+	var workspace;
+	var ndims;
+	var xmmv;
+	var len;
+	var iox;
+	var sh;
+	var ns;
+	var i;
+
+	// Resolve the number of array dimensions:
+	sh = x.shape;
+	ndims = sh.length;
+
+	// Check whether the ndarray is zero-dimensional...
+	if ( ndims === 0 ) {
+		return {
+			'input': broadcast,
+			'output': identity
+		};
+	}
+	// Check whether the ndarray is already one-dimensional...
+	if ( ndims === 1 ) {
+		return {
+			'input': identity,
+			'output': identity
+		};
+	}
+	// Determine the number of singleton dimensions...
+	len = 1; // number of elements
+	ns = 0;  // number of singleton dimensions
+	for ( i = 0; i < ndims; i++ ) {
+		// Check whether the current dimension is a singleton dimension...
+		if ( sh[ i ] === 1 ) {
+			ns += 1;
+		}
+		len *= sh[ i ];
+	}
+	// Determine whether the ndarray has only **one** non-singleton dimension (e.g., ndims=4, shape=[10,1,1,1]) so that we can simply create an ndarray view without the singleton dimensions...
+	if ( ns === ndims-1 ) {
+		// Get the index of the non-singleton dimension...
+		for ( i = 0; i < ndims; i++ ) {
+			if ( sh[ i ] !== 1 ) {
+				break;
+			}
+		}
+		return {
+			'input': squeeze( x, i ),
+			'output': identity
+		};
+	}
+	iox = iterationOrder( x.strides ); // +/-1
+
+	// Determine whether we can avoid copying data...
+	if ( iox !== 0 ) {
+		// Determine the minimum and maximum linear indices which are accessible by the ndarray view:
+		xmmv = minmaxViewBufferIndex( sh, x.strides, x.offset, [ 0, 0 ] );
+
+		// Determine whether we can ignore shape (and strides) and create a new one-dimensional ndarray view...
+		if ( len === ( xmmv[1]-xmmv[0]+1 ) ) {
+			return {
+				'input': contiguous( len, iox ),
+				'output': identity
+			};
+		}
+		// The ndarray is non-contiguous, so we cannot directly interpret as a one-dimensional ndarray...
+
+		// Fall-through to copying to a workspace ndarray...
+	}
+	// At this point, we're dealing with a non-contiguous multi-dimensional ndarray, so we need to copy to a contiguous workspace:
+	workspace = ndarraylike2descriptor( empty( x.dtype, x.shape, x.order ) );
+	return {
+		'input': copyToWorkspace( len, workspace ),
+		'output': copyFromWorkspace( workspace )
+	};
+}
+
+
+// EXPORTS //
+
+module.exports = strategy;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/package.json
new file mode 100644
index 000000000000..4090e40f792e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/package.json
@@ -0,0 +1,61 @@
+{
+  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy",
+  "version": "0.0.0",
+  "description": "Return an object containing methods for reshaping an ndarray as a one-dimensional strided array view.",
+  "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": {
+    "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",
+    "ndarray",
+    "nullary",
+    "workspace",
+    "strategy",
+    "util"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/test/test.js
new file mode 100644
index 000000000000..5424549718c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/test/test.js
@@ -0,0 +1,35 @@
+/**
+* @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 strategy = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof strategy, 'function', 'main export is a function' );
+	t.end();
+});
+
+// FIXME: add tests
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
new file mode 100644
index 000000000000..e284fd4c4265
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
@@ -0,0 +1,807 @@
+<!--
+
+@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.
+
+-->
+
+# kernel
+
+> Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked' );
+```
+
+#### kernel( ndims )
+
+Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Resolve a kernel:
+var f = kernel( 2 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+```
+
+The function accepts the following arguments:
+
+-   **ndims**: number of loop dimensions.
+
+If the function is provided an `ndims` value greater than the maximum number of supported loop dimensions, the function returns `null`.
+
+```javascript
+var f = kernel( 100000 );
+// returns null
+```
+
+The returned function accepts the following arguments:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+The returned function iterates over ndarray elements according to the memory layout of the input ndarray.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel0d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 0 ]*10 ) + idx[ 1 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 4 );
+
+// Define the array shape:
+var xsh = [ 2, 2 ];
+
+// Define the array strides:
+var sx = [ 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [],
+    'strides': [ 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [],
+    'strides': [ 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Resolve an input strategy for the input ndarray:
+var strategyX = strategy( x );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [];
+var cdims = [ 0, 1 ];
+
+// Apply strided function:
+kernel.kernel0d( gfillBy, [ x, start, end ], x, [], [], [], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have zero elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+The `views`, `shape`, and `stridesX` parameters are unused. Providing empty arrays for these parameters is recommended in order to ensure a monomorphic API.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel1d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 0 ]*100 ) + ( idx[ 1 ]*10 ) + idx[ 2 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 3 ],
+    'strides': [ 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 3 ],
+    'strides': [ 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0 ];
+var cdims = [ 1, 2 ];
+
+// Apply strided function:
+kernel.kernel1d( gfillBy, [ x, start, end ], x, views, [ 3 ], [ 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have one element.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel2d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 3 ],
+    'strides': [ 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1 ];
+var cdims = [ 2, 3 ];
+
+// Apply strided function:
+kernel.kernel2d( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have two elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel3d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Apply strided function:
+kernel.kernel3d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have three elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The strided array function is expected to have the following signature:
+
+    ```text
+    fcn( arrays[, options], clbk )
+    ```
+
+    where
+
+    -   **arrays**: array containing a one-dimensional subarray of the input ndarray and any additional ndarray arguments as subarrays.
+    -   **options**: function options (_optional_).
+    -   **clbk**: callback function.
+
+-   The callback function is provided the following arguments:
+
+    -   **value**: current array element.
+    -   **idx**: current array element indices.
+    -   **arr**: the original input ndarray.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint-disable max-len -->
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked' );
+
+function clbk( value, idx ) {
+    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 3 ],
+    'strides': [ 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Resolve a kernel:
+var f = kernel( 3 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<section class="links">
+
+[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
new file mode 100644
index 000000000000..2ec8fc903871
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
@@ -0,0 +1,254 @@
+
+{{alias}}( ndims )
+    Returns a kernel for applying a one-dimensional strided array function to
+    an input ndarray according to a callback function.
+
+    The returned function has the following parameters:
+
+    - fcn: function which will be applied to a one-dimensional input subarray
+    according to a callback function.
+    - arrays: array containing an input ndarray descriptor, followed by any
+    additional ndarray arguments.
+    - ref: original input ndarray provided to a callback function.
+    - views: initialized ndarray descriptors representing subarray views.
+    - shape: loop dimensions.
+    - stridesX: loop dimension strides for the input ndarray.
+    - strategyX: strategy for marshaling data to and from an input ndarray
+    view.
+    - ibuf: workspace for storing iteration indices.
+    - ldims: list of loop dimensions.
+    - cdims: list of "core" dimensions.
+    - options: function options which are passed through to `fcn`.
+    - hasOpts: boolean indicating whether to pass an options argument to a
+    strided array function.
+    - clbk: callback function.
+    - thisArg: callback execution context.
+
+    If `ndims` is greater than the maximum supported number of loop dimensions,
+    the function returns `null`.
+
+    Parameters
+    ----------
+    ndims: integer
+        Number of loop dimensions.
+
+    Returns
+    -------
+    fcn: Function|null
+        Kernel function.
+
+    Examples
+    --------
+    > var f = {{alias}}( 2 )
+    <Function>
+
+
+{{alias}}.kernel0d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    The `v`, `sh`, and `sx` parameters are unused. Providing empty arrays for
+    these parameters is recommended in order to ensure a monomorphic API.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any
+        additional ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have zero elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel1d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any
+        additional ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have one element.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel2d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any
+        additional ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have two elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel3d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any
+        additional ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have three elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/examples/index.js
new file mode 100644
index 000000000000..1c93f3555ca7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/examples/index.js
@@ -0,0 +1,120 @@
+/**
+* @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-len */
+
+'use strict';
+
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var kernel = require( './../lib' );
+
+function clbk( value, idx ) {
+	return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+	'dtype': 'float64',
+	'data': xbuf,
+	'shape': xsh,
+	'strides': sx,
+	'offset': ox,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 0.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+	'dtype': 'float64',
+	'data': new Float64Array( [ 4.0 ] ),
+	'shape': [ 1, 1, 3 ],
+	'strides': [ 0, 0, 0 ],
+	'offset': 0,
+	'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+	{
+		'dtype': x.dtype,
+		'data': x.data,
+		'shape': [ 2, 2 ],
+		'strides': [ 2, 1 ],
+		'offset': x.offset,
+		'order': x.order
+	},
+	{
+		'dtype': start.dtype,
+		'data': start.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': start.offset,
+		'order': start.order
+	},
+	{
+		'dtype': end.dtype,
+		'data': end.data,
+		'shape': [],
+		'strides': [ 0 ],
+		'offset': end.offset,
+		'order': end.order
+	}
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2 ];
+var cdims = [ 3, 4 ];
+
+// Resolve a kernel:
+var f = kernel( 3 );
+
+// Apply strided function:
+f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/0d.js
new file mode 100644
index 000000000000..48fd931d3ed9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/0d.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.
+*/
+
+/* eslint-disable max-len, max-params */
+
+'use strict';
+
+// MODULES //
+
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* ## Notes
+*
+* -   The `views`, `shape`, and `stridesX` parameters are unused. Providing empty arrays for these parameters is recommended in order to ensure a monomorphic API.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 0 ]*10 ) + idx[ 1 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 4 );
+*
+* // Define the array shape:
+* var xsh = [ 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [],
+*     'strides': [ 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [],
+*     'strides': [ 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Resolve an input strategy for the input ndarray:
+* var strategyX = strategy( x );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [];
+* var cdims = [ 0, 1 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, [], [], [], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var f;
+
+	f = wrap( ref, arrays[ 0 ], ibuf, ldims, [], cdims, clbk, thisArg );
+	arrays[ 0 ] = strategyX.input( arrays[ 0 ] );
+	if ( hasOpts ) {
+		fcn( arrays, opts, f );
+	} else {
+		fcn( arrays, f );
+	}
+	strategyX.output( arrays[ 0 ] );
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/1d.js
new file mode 100644
index 000000000000..4d8f5a636450
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/1d.js
@@ -0,0 +1,194 @@
+/**
+* @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-len, max-params */
+
+'use strict';
+
+// MODULES //
+
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 0 ]*100 ) + ( idx[ 1 ]*10 ) + idx[ 2 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 3 ],
+*     'strides': [ 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 3 ],
+*     'strides': [ 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0 ];
+* var cdims = [ 1, 2 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 3 ], [ 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var S0;
+	var iv;
+	var i0;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	S0 = shape[ 0 ];
+	dv0 = [
+		stridesX[0]
+	];
+	for ( i = 1; i < arrays.length; i++ ) {
+		dv0.push( arrays[i].strides[0] );
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop dimensions...
+	for ( i0 = 0; i0 < S0; i0++ ) {
+		setViewOffsets( views, iv );
+		v[ 0 ] = strategyX.input( views[ 0 ] );
+		f = wrap( ref, views[ 0 ], ibuf, ldims, [ i0 ], cdims, clbk, thisArg );
+		if ( hasOpts ) {
+			fcn( v, opts, f );
+		} else {
+			fcn( v, f );
+		}
+		strategyX.output( views[ 0 ] );
+		incrementOffsets( iv, dv0 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/2d.js
new file mode 100644
index 000000000000..537e991a6dee
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/2d.js
@@ -0,0 +1,226 @@
+/**
+* @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-len, max-params */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var S0;
+	var S1;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 1 ];
+		S1 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[1]
+		];
+		dv1 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S0*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[1] );
+			dv1.push( sv[0] - ( S0*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [                                   // offset increment for outermost loop
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop dimensions...
+	for ( i1 = 0; i1 < S1; i1++ ) {
+		for ( i0 = 0; i0 < S0; i0++ ) {
+			setViewOffsets( views, iv );
+			v[ 0 ] = strategyX.input( views[ 0 ] );
+			f = wrap( ref, views[ 0 ], ibuf, ldims, [ i1, i0 ], cdims, clbk, thisArg );
+			if ( hasOpts ) {
+				fcn( v, opts, f );
+			} else {
+				fcn( v, f );
+			}
+			strategyX.output( views[ 0 ] );
+			incrementOffsets( iv, dv0 );
+		}
+		incrementOffsets( iv, dv1 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/3d.js
new file mode 100644
index 000000000000..86a0b4ef53e7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/3d.js
@@ -0,0 +1,242 @@
+/**
+* @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-len, max-params */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 3 ],
+*     'strides': [ 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 3 ],
+*     'strides': [ 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2 ];
+* var cdims = [ 3, 4 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var S0;
+	var S1;
+	var S2;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 2 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[2]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[2] )
+		];
+		dv2 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S1*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[2] );
+			dv1.push( sv[1] - ( S0*sv[2] ) );
+			dv2.push( sv[0] - ( S1*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [                                   // offset increment for outermost loop
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop dimensions...
+	for ( i2 = 0; i2 < S2; i2++ ) {
+		for ( i1 = 0; i1 < S1; i1++ ) {
+			for ( i0 = 0; i0 < S0; i0++ ) {
+				setViewOffsets( views, iv );
+				v[ 0 ] = strategyX.input( views[ 0 ] );
+				f = wrap( ref, views[ 0 ], ibuf, ldims, [ i2, i1, i0 ], cdims, clbk, thisArg );
+				if ( hasOpts ) {
+					fcn( v, opts, f );
+				} else {
+					fcn( v, f );
+				}
+				strategyX.output( views[ 0 ] );
+				incrementOffsets( iv, dv0 );
+			}
+			incrementOffsets( iv, dv1 );
+		}
+		incrementOffsets( iv, dv2 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/callback_wrapper.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/callback_wrapper.js
new file mode 100644
index 000000000000..ad25b5d7bbcf
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/callback_wrapper.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';
+
+// MODULES //
+
+var put = require( '@stdlib/array/base/put' );
+var ind2sub = require( '@stdlib/ndarray/base/ind2sub' ).assign;
+var zeros = require( '@stdlib/array/base/zeros' );
+
+
+// VARIABLES //
+
+var MODE = 'throw';
+
+
+// MAIN //
+
+/**
+* Wraps a provided callback function.
+*
+* @private
+* @param {ndarray} arr - input ndarray
+* @param {ndarray} view - subarray view of the input ndarray
+* @param {NonNegativeIntegerArray} idx - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - loop dimensions
+* @param {NonNegativeIntegerArray} lidx - current loop iteration indices
+* @param {NonNegativeIntegerArray} cdims - core dimensions
+* @param {Function} clbk - callback function
+* @param {thisArg} thisArg - callback execution context
+* @returns {Function} callback wrapper
+*/
+function wrap( arr, view, idx, ldims, lidx, cdims, clbk, thisArg ) {
+	var cidx = zeros( cdims.length ); // workspace for storing core iteration indices
+	put( idx, ldims, lidx, MODE );
+	return wrapper;
+
+	/**
+	* Invokes a callback function.
+	*
+	* @private
+	* @param {*} v - value
+	* @param {NonNegativeInteger} aidx - current array element index
+	* @returns {*} result
+	*/
+	function wrapper( v, aidx ) {
+		ind2sub( view.shape, view.strides, view.offset, view.order, aidx, MODE, cidx ); // eslint-disable-line max-len
+		put( idx, cdims, cidx, MODE );
+		return clbk.call( thisArg, v, idx.slice(), arr );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = wrap;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
new file mode 100644
index 000000000000..1caf1719d9ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
@@ -0,0 +1,148 @@
+/**
+* @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';
+
+/**
+* Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Resolve a kernel:
+* var f = kernel( 2 );
+*
+* // Apply strided function:
+* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var kernel0d = require( './0d.js' );
+var kernel1d = require( './1d.js' );
+var kernel2d = require( './2d.js' );
+var kernel3d = require( './3d.js' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'kernel0d', kernel0d );
+setReadOnly( main, 'kernel1d', kernel1d );
+setReadOnly( main, 'kernel2d', kernel2d );
+setReadOnly( main, 'kernel3d', kernel3d );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
new file mode 100644
index 000000000000..dab7e5fac81e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
@@ -0,0 +1,158 @@
+/**
+* @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 kernel0d = require( './0d.js' );
+var kernel1d = require( './1d.js' );
+var kernel2d = require( './2d.js' );
+var kernel3d = require( './3d.js' );
+
+
+// VARIABLES //
+
+var KERNELS = [
+	kernel0d,
+	kernel1d,
+	kernel2d,
+	kernel3d
+];
+var MAX_DIMS = KERNELS.length - 1;
+
+
+// MAIN //
+
+/**
+* Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @param {integer} ndims - number of loop dimensions
+* @returns {(Function|null)} kernel function or null
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 3 ],
+*     'strides': [ 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1 ];
+* var cdims = [ 2, 3 ];
+*
+* // Resolve a kernel:
+* var f = kernel( 2 );
+*
+* // Apply strided function:
+* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
+*/
+function kernel( ndims ) {
+	if ( ndims < 0 || ndims > MAX_DIMS ) {
+		return null;
+	}
+	return KERNELS[ ndims ];
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/package.json
new file mode 100644
index 000000000000..f5ce07248e21
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/package.json
@@ -0,0 +1,64 @@
+{
+  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked",
+  "version": "0.0.0",
+  "description": "Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function.",
+  "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": {
+    "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",
+    "nullary",
+    "apply",
+    "fill",
+    "callback",
+    "vector",
+    "kernel"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/test/test.js
new file mode 100644
index 000000000000..053851cfb7f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/test/test.js
@@ -0,0 +1,35 @@
+/**
+* @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 kernel = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof kernel, 'function', 'main export is a function' );
+	t.end();
+});
+
+// FIXME: add tests

From 6f8b7c8a292898d58c82d97def18026b9654e367 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 27 Sep 2026 22:49:23 +0500
Subject: [PATCH 2/4] fix: repl wrapping

---
 .../blocked/docs/repl.txt                     | 15 ++++++------
 .../nullary-strided1d-by/linear/docs/repl.txt |  4 ++--
 .../unblocked/docs/repl.txt                   | 23 +++++++++----------
 3 files changed, 20 insertions(+), 22 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
index 4c8057f0841f..7cb907bbedb9 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( ndims )
-    Returns a kernel for applying a one-dimensional strided array function to
-    an input ndarray according to a callback function using loop blocking.
+    Returns a kernel for applying a one-dimensional strided array function to an
+    input ndarray according to a callback function using loop blocking.
 
     The returned function has the following parameters:
 
@@ -13,8 +13,7 @@
     - views: initialized ndarray descriptors representing subarray views.
     - shape: loop dimensions.
     - stridesX: loop dimension strides for the input ndarray.
-    - strategyX: strategy for marshaling data to and from an input ndarray
-    view.
+    - strategyX: strategy for marshaling data to and from an input ndarray view.
     - ibuf: workspace for storing iteration indices.
     - ldims: list of loop dimensions.
     - cdims: list of "core" dimensions.
@@ -53,8 +52,8 @@
         Wrapper for a one-dimensional strided array function.
 
     arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any
-        additional ndarray arguments.
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
 
     ref: ndarray
         Original input ndarray provided to a callback function.
@@ -104,8 +103,8 @@
         Wrapper for a one-dimensional strided array function.
 
     arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any
-        additional ndarray arguments.
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
 
     ref: ndarray
         Original input ndarray provided to a callback function.
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
index 98d364017b81..8ca3bda05cc0 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
@@ -12,8 +12,8 @@
         Wrapper for a one-dimensional strided array function.
 
     arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any
-        additional ndarray arguments.
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
 
     ref: ndarray
         Original input ndarray provided to a callback function.
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
index 2ec8fc903871..37172b23a6ca 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( ndims )
-    Returns a kernel for applying a one-dimensional strided array function to
-    an input ndarray according to a callback function.
+    Returns a kernel for applying a one-dimensional strided array function to an
+    input ndarray according to a callback function.
 
     The returned function has the following parameters:
 
@@ -13,8 +13,7 @@
     - views: initialized ndarray descriptors representing subarray views.
     - shape: loop dimensions.
     - stridesX: loop dimension strides for the input ndarray.
-    - strategyX: strategy for marshaling data to and from an input ndarray
-    view.
+    - strategyX: strategy for marshaling data to and from an input ndarray view.
     - ibuf: workspace for storing iteration indices.
     - ldims: list of loop dimensions.
     - cdims: list of "core" dimensions.
@@ -56,8 +55,8 @@
         Wrapper for a one-dimensional strided array function.
 
     arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any
-        additional ndarray arguments.
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
 
     ref: ndarray
         Original input ndarray provided to a callback function.
@@ -107,8 +106,8 @@
         Wrapper for a one-dimensional strided array function.
 
     arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any
-        additional ndarray arguments.
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
 
     ref: ndarray
         Original input ndarray provided to a callback function.
@@ -158,8 +157,8 @@
         Wrapper for a one-dimensional strided array function.
 
     arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any
-        additional ndarray arguments.
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
 
     ref: ndarray
         Original input ndarray provided to a callback function.
@@ -209,8 +208,8 @@
         Wrapper for a one-dimensional strided array function.
 
     arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any
-        additional ndarray arguments.
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
 
     ref: ndarray
         Original input ndarray provided to a callback function.

From 070f8dfcb052a1f8524adc2c84ec06dbe0d67785 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Tue, 29 Sep 2026 15:49:29 +0500
Subject: [PATCH 3/4] refactor: apply suggestions from code review

---
 .../nullary-strided1d-by/blocked/README.md    | 581 ------------------
 .../blocked/docs/repl.txt                     | 148 -----
 .../blocked/examples/index.js                 | 120 ----
 .../nullary-strided1d-by/blocked/lib/2d.js    | 256 --------
 .../nullary-strided1d-by/blocked/lib/3d.js    | 279 ---------
 .../blocked/lib/callback_wrapper.js           |  72 ---
 .../nullary-strided1d-by/blocked/lib/index.js | 144 -----
 .../nullary-strided1d-by/blocked/lib/main.js  | 154 -----
 .../nullary-strided1d-by/blocked/package.json |  65 --
 .../nullary-strided1d-by/blocked/test/test.js |  35 --
 .../nullary-strided1d-by/linear/README.md     | 320 ----------
 .../nullary-strided1d-by/linear/docs/repl.txt |  62 --
 .../linear/examples/index.js                  | 117 ----
 .../linear/lib/callback_wrapper.js            |  72 ---
 .../nullary-strided1d-by/linear/lib/index.js  | 132 ----
 .../nullary-strided1d-by/linear/lib/main.js   | 208 -------
 .../nullary-strided1d-by/linear/package.json  |  65 --
 .../nullary-strided1d-by/linear/test/test.js  |  35 --
 .../nullary-strided1d-by/strategy/README.md   | 207 -------
 .../strategy/docs/repl.txt                    |  43 --
 .../strategy/examples/index.js                | 120 ----
 .../strategy/lib/index.js                     |  50 --
 .../nullary-strided1d-by/strategy/lib/main.js | 283 ---------
 .../strategy/package.json                     |  61 --
 .../strategy/test/test.js                     |  35 --
 .../nullary-strided1d-by/unblocked/README.md  |  12 +-
 .../unblocked/examples/index.js               |   2 +-
 .../nullary-strided1d-by/unblocked/lib/0d.js  |   2 +-
 .../nullary-strided1d-by/unblocked/lib/1d.js  |   2 +-
 .../nullary-strided1d-by/unblocked/lib/2d.js  |   2 +-
 .../nullary-strided1d-by/unblocked/lib/3d.js  |   2 +-
 .../unblocked/lib/index.js                    |   2 +-
 .../unblocked/lib/main.js                     |   2 +-
 33 files changed, 13 insertions(+), 3677 deletions(-)
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/README.md
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/docs/repl.txt
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/examples/index.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/index.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/main.js
 delete mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/package.json
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diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md
deleted file mode 100644
index b94588359475..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md
+++ /dev/null
@@ -1,581 +0,0 @@
-<!--
-
-@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.
-
--->
-
-# kernel
-
-> Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
-
-<section class="intro">
-
-</section>
-
-<!-- /.intro -->
-
-<section class="usage">
-
-## Usage
-
-```javascript
-var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
-```
-
-#### kernel( ndims )
-
-Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
-
-<!-- eslint-disable max-len -->
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-
-function clbk( value, idx ) {
-    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-    'dtype': 'float64',
-    'data': xbuf,
-    'shape': xsh,
-    'strides': sx,
-    'offset': ox,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 0.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 4.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-    {
-        'dtype': x.dtype,
-        'data': x.data,
-        'shape': [ 2, 2 ],
-        'strides': [ 2, 1 ],
-        'offset': x.offset,
-        'order': x.order
-    },
-    {
-        'dtype': start.dtype,
-        'data': start.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': start.offset,
-        'order': start.order
-    },
-    {
-        'dtype': end.dtype,
-        'data': end.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': end.offset,
-        'order': end.order
-    }
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1 ];
-var cdims = [ 2, 3 ];
-
-// Resolve a kernel:
-var f = kernel( 2 );
-
-// Apply strided function:
-f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-```
-
-The function accepts the following arguments:
-
--   **ndims**: number of loop dimensions.
-
-If the function is provided `ndims < 2` or a value greater than the maximum number of supported loop dimensions, the function returns `null`.
-
-```javascript
-var f = kernel( 100000 );
-// returns null
-```
-
-The returned function accepts the following arguments:
-
--   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
--   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
--   **ref**: original input ndarray provided to a callback function.
--   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
--   **shape**: loop dimensions.
--   **stridesX**: loop dimension strides for the input ndarray.
--   **strategyX**: strategy for marshaling data to and from an input ndarray view.
--   **ibuf**: workspace for storing iteration indices.
--   **ldims**: list of loop dimensions.
--   **cdims**: list of "core" dimensions.
--   **options**: function options which are passed through to `fcn`.
--   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
--   **clbk**: callback function.
--   **thisArg**: callback execution context.
-
-<!-- lint disable maximum-heading-length -->
-
-#### kernel.kernel2d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
-
-<!-- lint enable maximum-heading-length -->
-
-Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
-
-<!-- eslint-disable max-len -->
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-
-function clbk( value, idx ) {
-    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-    'dtype': 'float64',
-    'data': xbuf,
-    'shape': xsh,
-    'strides': sx,
-    'offset': ox,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 0.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 4.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-    {
-        'dtype': x.dtype,
-        'data': x.data,
-        'shape': [ 2, 2 ],
-        'strides': [ 2, 1 ],
-        'offset': x.offset,
-        'order': x.order
-    },
-    {
-        'dtype': start.dtype,
-        'data': start.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': start.offset,
-        'order': start.order
-    },
-    {
-        'dtype': end.dtype,
-        'data': end.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': end.offset,
-        'order': end.order
-    }
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1 ];
-var cdims = [ 2, 3 ];
-
-// Apply strided function:
-kernel.kernel2d( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-```
-
-The function has the following parameters:
-
--   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
--   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
--   **ref**: original input ndarray provided to a callback function.
--   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
--   **shape**: loop dimensions. Should have two elements.
--   **stridesX**: loop dimension strides for the input ndarray.
--   **strategyX**: strategy for marshaling data to and from an input ndarray view.
--   **ibuf**: workspace for storing iteration indices.
--   **ldims**: list of loop dimensions.
--   **cdims**: list of "core" dimensions.
--   **options**: function options which are passed through to `fcn`.
--   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
--   **clbk**: callback function.
--   **thisArg**: callback execution context.
-
-<!-- lint disable maximum-heading-length -->
-
-#### kernel.kernel3d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
-
-<!-- lint enable maximum-heading-length -->
-
-Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
-
-<!-- eslint-disable max-len -->
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-
-function clbk( value, idx ) {
-    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-    'dtype': 'float64',
-    'data': xbuf,
-    'shape': xsh,
-    'strides': sx,
-    'offset': ox,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 0.0 ] ),
-    'shape': [ 1, 1, 3 ],
-    'strides': [ 0, 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 4.0 ] ),
-    'shape': [ 1, 1, 3 ],
-    'strides': [ 0, 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-    {
-        'dtype': x.dtype,
-        'data': x.data,
-        'shape': [ 2, 2 ],
-        'strides': [ 2, 1 ],
-        'offset': x.offset,
-        'order': x.order
-    },
-    {
-        'dtype': start.dtype,
-        'data': start.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': start.offset,
-        'order': start.order
-    },
-    {
-        'dtype': end.dtype,
-        'data': end.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': end.offset,
-        'order': end.order
-    }
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1, 2 ];
-var cdims = [ 3, 4 ];
-
-// Apply strided function:
-kernel.kernel3d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-// returns [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ]
-```
-
-The function has the following parameters:
-
--   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
--   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
--   **ref**: original input ndarray provided to a callback function.
--   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
--   **shape**: loop dimensions. Should have three elements.
--   **stridesX**: loop dimension strides for the input ndarray.
--   **strategyX**: strategy for marshaling data to and from an input ndarray view.
--   **ibuf**: workspace for storing iteration indices.
--   **ldims**: list of loop dimensions.
--   **cdims**: list of "core" dimensions.
--   **options**: function options which are passed through to `fcn`.
--   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
--   **clbk**: callback function.
--   **thisArg**: callback execution context.
-
-</section>
-
-<!-- /.usage -->
-
-<section class="notes">
-
-## Notes
-
--   The strided array function is expected to have the following signature:
-
-    ```text
-    fcn( arrays[, options], clbk )
-    ```
-
-    where
-
-    -   **arrays**: array containing a one-dimensional subarray of the input ndarray and any additional ndarray arguments as subarrays.
-    -   **options**: function options (_optional_).
-    -   **clbk**: callback function.
-
--   The callback function is provided the following arguments:
-
-    -   **value**: current array element.
-    -   **idx**: current array element indices.
-    -   **arr**: the original input ndarray.
-
-</section>
-
-<!-- /.notes -->
-
-<section class="examples">
-
-## Examples
-
-<!-- eslint-disable max-len -->
-
-<!-- eslint no-undef: "error" -->
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
-
-function clbk( value, idx ) {
-    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-    'dtype': 'float64',
-    'data': xbuf,
-    'shape': xsh,
-    'strides': sx,
-    'offset': ox,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 0.0 ] ),
-    'shape': [ 1, 1, 3 ],
-    'strides': [ 0, 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 4.0 ] ),
-    'shape': [ 1, 1, 3 ],
-    'strides': [ 0, 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-    {
-        'dtype': x.dtype,
-        'data': x.data,
-        'shape': [ 2, 2 ],
-        'strides': [ 2, 1 ],
-        'offset': x.offset,
-        'order': x.order
-    },
-    {
-        'dtype': start.dtype,
-        'data': start.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': start.offset,
-        'order': start.order
-    },
-    {
-        'dtype': end.dtype,
-        'data': end.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': end.offset,
-        'order': end.order
-    }
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1, 2 ];
-var cdims = [ 3, 4 ];
-
-// Resolve a kernel:
-var f = kernel( 3 );
-
-// Apply strided function:
-f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
-```
-
-</section>
-
-<!-- /.examples -->
-
-<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
-
-<section class="related">
-
-</section>
-
-<!-- /.related -->
-
-<section class="links">
-
-[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
-
-</section>
-
-<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
deleted file mode 100644
index 7cb907bbedb9..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
+++ /dev/null
@@ -1,148 +0,0 @@
-
-{{alias}}( ndims )
-    Returns a kernel for applying a one-dimensional strided array function to an
-    input ndarray according to a callback function using loop blocking.
-
-    The returned function has the following parameters:
-
-    - fcn: function which will be applied to a one-dimensional input subarray
-    according to a callback function.
-    - arrays: array containing an input ndarray descriptor, followed by any
-    additional ndarray arguments.
-    - ref: original input ndarray provided to a callback function.
-    - views: initialized ndarray descriptors representing subarray views.
-    - shape: loop dimensions.
-    - stridesX: loop dimension strides for the input ndarray.
-    - strategyX: strategy for marshaling data to and from an input ndarray view.
-    - ibuf: workspace for storing iteration indices.
-    - ldims: list of loop dimensions.
-    - cdims: list of "core" dimensions.
-    - options: function options which are passed through to `fcn`.
-    - hasOpts: boolean indicating whether to pass an options argument to a
-    strided array function.
-    - clbk: callback function.
-    - thisArg: callback execution context.
-
-    If `ndims < 2` or greater than the maximum supported number of loop
-    dimensions, the function returns `null`.
-
-    Parameters
-    ----------
-    ndims: integer
-        Number of loop dimensions.
-
-    Returns
-    -------
-    fcn: Function|null
-        Kernel function.
-
-    Examples
-    --------
-    > var f = {{alias}}( 2 )
-    <Function>
-
-
-{{alias}}.kernel2d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
-    Applies a one-dimensional strided array function to an input ndarray
-    according to a callback function via loop blocking.
-
-    Parameters
-    ----------
-    fcn: Function
-        Wrapper for a one-dimensional strided array function.
-
-    arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any additional
-        ndarray arguments.
-
-    ref: ndarray
-        Original input ndarray provided to a callback function.
-
-    v: Array<Object>
-        Initialized ndarray descriptors representing subarray views.
-
-    sh: Array<integer>
-        Loop dimensions. Should have two elements.
-
-    sx: Array<integer>
-        Loop dimension strides for the input ndarray.
-
-    st: Object
-        Strategy for marshaling data to and from an input ndarray view.
-
-    ib: Array<integer>
-        Workspace for storing iteration indices.
-
-    ld: Array<integer>
-        List of loop dimensions.
-
-    cd: Array<integer>
-        List of "core" dimensions.
-
-    o: Object
-        Function options which are passed through to `fcn`.
-
-    po: boolean
-        Boolean indicating whether to pass an options argument to a strided
-        array function.
-
-    cb: Function
-        Callback function.
-
-    ctx: any
-        Callback execution context.
-
-
-{{alias}}.kernel3d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
-    Applies a one-dimensional strided array function to an input ndarray
-    according to a callback function via loop blocking.
-
-    Parameters
-    ----------
-    fcn: Function
-        Wrapper for a one-dimensional strided array function.
-
-    arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any additional
-        ndarray arguments.
-
-    ref: ndarray
-        Original input ndarray provided to a callback function.
-
-    v: Array<Object>
-        Initialized ndarray descriptors representing subarray views.
-
-    sh: Array<integer>
-        Loop dimensions. Should have three elements.
-
-    sx: Array<integer>
-        Loop dimension strides for the input ndarray.
-
-    st: Object
-        Strategy for marshaling data to and from an input ndarray view.
-
-    ib: Array<integer>
-        Workspace for storing iteration indices.
-
-    ld: Array<integer>
-        List of loop dimensions.
-
-    cd: Array<integer>
-        List of "core" dimensions.
-
-    o: Object
-        Function options which are passed through to `fcn`.
-
-    po: boolean
-        Boolean indicating whether to pass an options argument to a strided
-        array function.
-
-    cb: Function
-        Callback function.
-
-    ctx: any
-        Callback execution context.
-
-    See Also
-    --------
-
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js
deleted file mode 100644
index 1c93f3555ca7..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js
+++ /dev/null
@@ -1,120 +0,0 @@
-/**
-* @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-len */
-
-'use strict';
-
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-var kernel = require( './../lib' );
-
-function clbk( value, idx ) {
-	return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-	'dtype': 'float64',
-	'data': xbuf,
-	'shape': xsh,
-	'strides': sx,
-	'offset': ox,
-	'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-	'dtype': 'float64',
-	'data': new Float64Array( [ 0.0 ] ),
-	'shape': [ 1, 1, 3 ],
-	'strides': [ 0, 0, 0 ],
-	'offset': 0,
-	'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-	'dtype': 'float64',
-	'data': new Float64Array( [ 4.0 ] ),
-	'shape': [ 1, 1, 3 ],
-	'strides': [ 0, 0, 0 ],
-	'offset': 0,
-	'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-	{
-		'dtype': x.dtype,
-		'data': x.data,
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': x.offset,
-		'order': x.order
-	},
-	{
-		'dtype': start.dtype,
-		'data': start.data,
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': start.offset,
-		'order': start.order
-	},
-	{
-		'dtype': end.dtype,
-		'data': end.data,
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': end.offset,
-		'order': end.order
-	}
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1, 2 ];
-var cdims = [ 3, 4 ];
-
-// Resolve a kernel:
-var f = kernel( 3 );
-
-// Apply strided function:
-f( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js
deleted file mode 100644
index e9e05ffb1859..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js
+++ /dev/null
@@ -1,256 +0,0 @@
-/**
-* @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-len, max-params */
-
-'use strict';
-
-// MODULES //
-
-var loopOrder = require( '@stdlib/ndarray/base/nullary-loop-interchange-order' );
-var blockSize = require( '@stdlib/ndarray/base/nullary-tiling-block-size' );
-var takeIndexed = require( '@stdlib/array/base/take-indexed' );
-var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
-var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
-var offsets = require( '@stdlib/ndarray/base/offsets' );
-var wrap = require( './callback_wrapper.js' );
-
-
-// MAIN //
-
-/**
-* Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
-*
-* @private
-* @param {Function} fcn - wrapper for a one-dimensional strided array function
-* @param {Array<Object>} arrays - ndarray descriptors
-* @param {ndarrayLike} ref - original input ndarray provided to a callback function
-* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
-* @param {Array<integer>} shape - loop dimensions
-* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
-* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
-* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
-* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
-* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
-* @param {Options} opts - function options
-* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
-* @param {Function} clbk - callback function
-* @param {*} thisArg - callback execution context
-* @returns {void}
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-* var zeros = require( '@stdlib/array/base/zeros' );
-* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-*
-* function clbk( value, idx ) {
-*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-* }
-*
-* // Create a data buffer:
-* var xbuf = new Float64Array( 12 );
-*
-* // Define the array shape:
-* var xsh = [ 1, 3, 2, 2 ];
-*
-* // Define the array strides:
-* var sx = [ 12, 4, 2, 1 ];
-*
-* // Define the index offset:
-* var ox = 0;
-*
-* // Create an input ndarray descriptor:
-* var x = {
-*     'dtype': 'float64',
-*     'data': xbuf,
-*     'shape': xsh,
-*     'strides': sx,
-*     'offset': ox,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the starting index (inclusive):
-* var start = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 0.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the ending index (exclusive):
-* var end = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 4.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Initialize ndarray descriptors representing subarray views:
-* var views = [
-*     {
-*         'dtype': x.dtype,
-*         'data': x.data,
-*         'shape': [ 2, 2 ],
-*         'strides': [ 2, 1 ],
-*         'offset': x.offset,
-*         'order': x.order
-*     },
-*     {
-*         'dtype': start.dtype,
-*         'data': start.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': start.offset,
-*         'order': start.order
-*     },
-*     {
-*         'dtype': end.dtype,
-*         'data': end.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': end.offset,
-*         'order': end.order
-*     }
-* ];
-*
-* // Resolve an input strategy when iterating over subarray views:
-* var strategyX = strategy( views[ 0 ] );
-*
-* // Create a workspace array for storing iteration indices:
-* var ibuf = zeros( xsh.length );
-*
-* // Define the loop and core dimensions:
-* var ldims = [ 0, 1 ];
-* var cdims = [ 2, 3 ];
-*
-* // Apply strided function:
-* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-*
-* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-*/
-function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
-	var bsize;
-	var dv0;
-	var dv1;
-	var ov1;
-	var sh;
-	var s0;
-	var s1;
-	var sv;
-	var ov;
-	var iv;
-	var i0;
-	var i1;
-	var j0;
-	var j1;
-	var N;
-	var x;
-	var v;
-	var o;
-	var k;
-	var f;
-
-	// Note on variable naming convention: S#, dv#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
-
-	N = arrays.length;
-	x = arrays[ 0 ];
-
-	// Resolve the loop interchange order:
-	o = loopOrder( shape, stridesX );
-	sh = o.sh;
-	sv = [ o.sx ];
-	for ( k = 1; k < N; k++ ) {
-		sv.push( takeIndexed( arrays[k].strides, o.idx ) );
-	}
-	// Determine the block size:
-	bsize = blockSize( x.dtype );
-
-	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
-	ov = offsets( arrays );
-
-	// Cache offset increments for the innermost loop...
-	dv0 = [];
-	for ( k = 0; k < N; k++ ) {
-		dv0.push( sv[k][0] );
-	}
-	// Initialize loop variables...
-	ov1 = zeros( N );
-	dv1 = zeros( N );
-	iv = zeros( N );
-
-	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
-	v = copyIndexed( views );
-
-	// Iterate over blocks...
-	for ( j1 = sh[1]; j1 > 0; ) {
-		if ( j1 < bsize ) {
-			s1 = j1;
-			j1 = 0;
-		} else {
-			s1 = bsize;
-			j1 -= bsize;
-		}
-		for ( k = 0; k < N; k++ ) {
-			ov1[ k ] = ov[k] + ( j1*sv[k][1] );
-		}
-		for ( j0 = sh[0]; j0 > 0; ) {
-			if ( j0 < bsize ) {
-				s0 = j0;
-				j0 = 0;
-			} else {
-				s0 = bsize;
-				j0 -= bsize;
-			}
-			// Compute index offsets and loop offset increments for the first ndarray elements in the current block...
-			for ( k = 0; k < N; k++ ) {
-				iv[ k ] = ov1[k] + ( j0*sv[k][0] );
-				dv1[ k ] = sv[k][1] - ( s0*sv[k][0] );
-			}
-			// Iterate over the loop dimensions...
-			for ( i1 = 0; i1 < s1; i1++ ) {
-				for ( i0 = 0; i0 < s0; i0++ ) {
-					setViewOffsets( views, iv );
-					v[ 0 ] = strategyX.input( views[ 0 ] );
-					f = wrap( ref, views[ 0 ], ibuf, ldims, [ j1+i1, j0+i0 ], cdims, clbk, thisArg );
-					if ( hasOpts ) {
-						fcn( v, opts, f );
-					} else {
-						fcn( v, f );
-					}
-					strategyX.output( views[ 0 ] );
-					incrementOffsets( iv, dv0 );
-				}
-				incrementOffsets( iv, dv1 );
-			}
-		}
-	}
-}
-
-
-// EXPORTS //
-
-module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js
deleted file mode 100644
index d6509e37e361..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js
+++ /dev/null
@@ -1,279 +0,0 @@
-/**
-* @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-len, max-params, 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' );
-var takeIndexed = require( '@stdlib/array/base/take-indexed' );
-var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
-var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
-var offsets = require( '@stdlib/ndarray/base/offsets' );
-var wrap = require( './callback_wrapper.js' );
-
-
-// MAIN //
-
-/**
-* Applies a one-dimensional strided array function to an input ndarray according to a callback function via loop blocking.
-*
-* @private
-* @param {Function} fcn - wrapper for a one-dimensional strided array function
-* @param {Array<Object>} arrays - ndarray descriptors
-* @param {ndarrayLike} ref - original input ndarray provided to a callback function
-* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
-* @param {Array<integer>} shape - loop dimensions
-* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
-* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
-* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
-* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
-* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
-* @param {Options} opts - function options
-* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
-* @param {Function} clbk - callback function
-* @param {*} thisArg - callback execution context
-* @returns {void}
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-* var zeros = require( '@stdlib/array/base/zeros' );
-* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-*
-* function clbk( value, idx ) {
-*     return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
-* }
-*
-* // Create a data buffer:
-* var xbuf = new Float64Array( 12 );
-*
-* // Define the array shape:
-* var xsh = [ 1, 1, 3, 2, 2 ];
-*
-* // Define the array strides:
-* var sx = [ 12, 12, 4, 2, 1 ];
-*
-* // Define the index offset:
-* var ox = 0;
-*
-* // Create an input ndarray descriptor:
-* var x = {
-*     'dtype': 'float64',
-*     'data': xbuf,
-*     'shape': xsh,
-*     'strides': sx,
-*     'offset': ox,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the starting index (inclusive):
-* var start = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 0.0 ] ),
-*     'shape': [ 1, 1, 3 ],
-*     'strides': [ 0, 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the ending index (exclusive):
-* var end = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 4.0 ] ),
-*     'shape': [ 1, 1, 3 ],
-*     'strides': [ 0, 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Initialize ndarray descriptors representing subarray views:
-* var views = [
-*     {
-*         'dtype': x.dtype,
-*         'data': x.data,
-*         'shape': [ 2, 2 ],
-*         'strides': [ 2, 1 ],
-*         'offset': x.offset,
-*         'order': x.order
-*     },
-*     {
-*         'dtype': start.dtype,
-*         'data': start.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': start.offset,
-*         'order': start.order
-*     },
-*     {
-*         'dtype': end.dtype,
-*         'data': end.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': end.offset,
-*         'order': end.order
-*     }
-* ];
-*
-* // Resolve an input strategy when iterating over subarray views:
-* var strategyX = strategy( views[ 0 ] );
-*
-* // Create a workspace array for storing iteration indices:
-* var ibuf = zeros( xsh.length );
-*
-* // Define the loop and core dimensions:
-* var ldims = [ 0, 1, 2 ];
-* var cdims = [ 3, 4 ];
-*
-* // Apply strided function:
-* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-*
-* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-* // returns [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ]
-*/
-function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
-	var bsize;
-	var dv0;
-	var dv1;
-	var dv2;
-	var ov1;
-	var ov2;
-	var sh;
-	var s0;
-	var s1;
-	var s2;
-	var sv;
-	var ov;
-	var iv;
-	var i0;
-	var i1;
-	var i2;
-	var j0;
-	var j1;
-	var j2;
-	var N;
-	var x;
-	var v;
-	var o;
-	var k;
-	var f;
-
-	// Note on variable naming convention: S#, dv#, i#, j# where # corresponds to the loop number, with `0` being the innermost loop...
-
-	N = arrays.length;
-	x = arrays[ 0 ];
-
-	// Resolve the loop interchange order:
-	o = loopOrder( shape, stridesX );
-	sh = o.sh;
-	sv = [ o.sx ];
-	for ( k = 1; k < N; k++ ) {
-		sv.push( takeIndexed( arrays[k].strides, o.idx ) );
-	}
-	// Determine the block size:
-	bsize = blockSize( x.dtype );
-
-	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
-	ov = offsets( arrays );
-
-	// Cache offset increments for the innermost loop...
-	dv0 = [];
-	for ( k = 0; k < N; k++ ) {
-		dv0.push( sv[k][0] );
-	}
-	// Initialize loop variables...
-	ov1 = zeros( N );
-	ov2 = zeros( N );
-	dv1 = zeros( N );
-	dv2 = zeros( N );
-	iv = zeros( N );
-
-	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
-	v = copyIndexed( views );
-
-	// Iterate over blocks...
-	for ( j2 = sh[2]; j2 > 0; ) {
-		if ( j2 < bsize ) {
-			s2 = j2;
-			j2 = 0;
-		} else {
-			s2 = bsize;
-			j2 -= bsize;
-		}
-		for ( k = 0; k < N; k++ ) {
-			ov2[ k ] = ov[k] + ( j2*sv[k][2] );
-		}
-		for ( j1 = sh[1]; j1 > 0; ) {
-			if ( j1 < bsize ) {
-				s1 = j1;
-				j1 = 0;
-			} else {
-				s1 = bsize;
-				j1 -= bsize;
-			}
-			for ( k = 0; k < N; k++ ) {
-				ov1[ k ] = ov2[k] + ( j1*sv[k][1] );
-				dv2[ k ] = sv[k][2] - ( s1*sv[k][1] );
-			}
-			for ( j0 = sh[0]; j0 > 0; ) {
-				if ( j0 < bsize ) {
-					s0 = j0;
-					j0 = 0;
-				} else {
-					s0 = bsize;
-					j0 -= bsize;
-				}
-				// Compute index offsets and loop offset increments for the first ndarray elements in the current block...
-				for ( k = 0; k < N; k++ ) {
-					iv[ k ] = ov1[k] + ( j0*sv[k][0] );
-					dv1[ k ] = sv[k][1] - ( s0*sv[k][0] );
-				}
-				// Iterate over the loop dimensions...
-				for ( i2 = 0; i2 < s2; i2++ ) {
-					for ( i1 = 0; i1 < s1; i1++ ) {
-						for ( i0 = 0; i0 < s0; i0++ ) {
-							setViewOffsets( views, iv );
-							v[ 0 ] = strategyX.input( views[ 0 ] );
-							f = wrap( ref, views[ 0 ], ibuf, ldims, [ j2+i2, j1+i1, j0+i0 ], cdims, clbk, thisArg );
-							if ( hasOpts ) {
-								fcn( v, opts, f );
-							} else {
-								fcn( v, f );
-							}
-							strategyX.output( views[ 0 ] );
-							incrementOffsets( iv, dv0 );
-						}
-						incrementOffsets( iv, dv1 );
-					}
-					incrementOffsets( iv, dv2 );
-				}
-			}
-		}
-	}
-}
-
-
-// EXPORTS //
-
-module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.js
deleted file mode 100644
index ad25b5d7bbcf..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.js
+++ /dev/null
@@ -1,72 +0,0 @@
-/**
-* @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 put = require( '@stdlib/array/base/put' );
-var ind2sub = require( '@stdlib/ndarray/base/ind2sub' ).assign;
-var zeros = require( '@stdlib/array/base/zeros' );
-
-
-// VARIABLES //
-
-var MODE = 'throw';
-
-
-// MAIN //
-
-/**
-* Wraps a provided callback function.
-*
-* @private
-* @param {ndarray} arr - input ndarray
-* @param {ndarray} view - subarray view of the input ndarray
-* @param {NonNegativeIntegerArray} idx - workspace for storing iteration indices
-* @param {NonNegativeIntegerArray} ldims - loop dimensions
-* @param {NonNegativeIntegerArray} lidx - current loop iteration indices
-* @param {NonNegativeIntegerArray} cdims - core dimensions
-* @param {Function} clbk - callback function
-* @param {thisArg} thisArg - callback execution context
-* @returns {Function} callback wrapper
-*/
-function wrap( arr, view, idx, ldims, lidx, cdims, clbk, thisArg ) {
-	var cidx = zeros( cdims.length ); // workspace for storing core iteration indices
-	put( idx, ldims, lidx, MODE );
-	return wrapper;
-
-	/**
-	* Invokes a callback function.
-	*
-	* @private
-	* @param {*} v - value
-	* @param {NonNegativeInteger} aidx - current array element index
-	* @returns {*} result
-	*/
-	function wrapper( v, aidx ) {
-		ind2sub( view.shape, view.strides, view.offset, view.order, aidx, MODE, cidx ); // eslint-disable-line max-len
-		put( idx, cdims, cidx, MODE );
-		return clbk.call( thisArg, v, idx.slice(), arr );
-	}
-}
-
-
-// EXPORTS //
-
-module.exports = wrap;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
deleted file mode 100644
index dfdf4d55e482..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
+++ /dev/null
@@ -1,144 +0,0 @@
-/**
-* @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';
-
-/**
-* Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
-*
-* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-* var zeros = require( '@stdlib/array/base/zeros' );
-* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-* var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
-*
-* function clbk( value, idx ) {
-*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-* }
-*
-* // Create a data buffer:
-* var xbuf = new Float64Array( 12 );
-*
-* // Define the array shape:
-* var xsh = [ 1, 3, 2, 2 ];
-*
-* // Define the array strides:
-* var sx = [ 12, 4, 2, 1 ];
-*
-* // Define the index offset:
-* var ox = 0;
-*
-* // Create an input ndarray descriptor:
-* var x = {
-*     'dtype': 'float64',
-*     'data': xbuf,
-*     'shape': xsh,
-*     'strides': sx,
-*     'offset': ox,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the starting index (inclusive):
-* var start = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 0.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the ending index (exclusive):
-* var end = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 4.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Initialize ndarray descriptors representing subarray views:
-* var views = [
-*     {
-*         'dtype': x.dtype,
-*         'data': x.data,
-*         'shape': [ 2, 2 ],
-*         'strides': [ 2, 1 ],
-*         'offset': x.offset,
-*         'order': x.order
-*     },
-*     {
-*         'dtype': start.dtype,
-*         'data': start.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': start.offset,
-*         'order': start.order
-*     },
-*     {
-*         'dtype': end.dtype,
-*         'data': end.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': end.offset,
-*         'order': end.order
-*     }
-* ];
-*
-* // Resolve an input strategy when iterating over subarray views:
-* var strategyX = strategy( views[ 0 ] );
-*
-* // Create a workspace array for storing iteration indices:
-* var ibuf = zeros( xsh.length );
-*
-* // Define the loop and core dimensions:
-* var ldims = [ 0, 1 ];
-* var cdims = [ 2, 3 ];
-*
-* // Resolve a kernel:
-* var f = kernel( 2 );
-*
-* // Apply strided function:
-* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-*
-* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-*/
-
-// MODULES //
-
-var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
-var kernel2d = require( './2d.js' );
-var kernel3d = require( './3d.js' );
-var main = require( './main.js' );
-
-
-// MAIN //
-
-setReadOnly( main, 'kernel2d', kernel2d );
-setReadOnly( main, 'kernel3d', kernel3d );
-
-
-// EXPORTS //
-
-module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js
deleted file mode 100644
index 074af133012f..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js
+++ /dev/null
@@ -1,154 +0,0 @@
-/**
-* @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 kernel2d = require( './2d.js' );
-var kernel3d = require( './3d.js' );
-
-
-// VARIABLES //
-
-var KERNELS = [
-	kernel2d,
-	kernel3d
-];
-var MAX_DIMS = KERNELS.length + 1;
-
-
-// MAIN //
-
-/**
-* Returns a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.
-*
-* @param {integer} ndims - number of loop dimensions
-* @returns {(Function|null)} kernel function or null
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-* var zeros = require( '@stdlib/array/base/zeros' );
-* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-*
-* function clbk( value, idx ) {
-*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-* }
-*
-* // Create a data buffer:
-* var xbuf = new Float64Array( 12 );
-*
-* // Define the array shape:
-* var xsh = [ 1, 3, 2, 2 ];
-*
-* // Define the array strides:
-* var sx = [ 12, 4, 2, 1 ];
-*
-* // Define the index offset:
-* var ox = 0;
-*
-* // Create an input ndarray descriptor:
-* var x = {
-*     'dtype': 'float64',
-*     'data': xbuf,
-*     'shape': xsh,
-*     'strides': sx,
-*     'offset': ox,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the starting index (inclusive):
-* var start = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 0.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the ending index (exclusive):
-* var end = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 4.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Initialize ndarray descriptors representing subarray views:
-* var views = [
-*     {
-*         'dtype': x.dtype,
-*         'data': x.data,
-*         'shape': [ 2, 2 ],
-*         'strides': [ 2, 1 ],
-*         'offset': x.offset,
-*         'order': x.order
-*     },
-*     {
-*         'dtype': start.dtype,
-*         'data': start.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': start.offset,
-*         'order': start.order
-*     },
-*     {
-*         'dtype': end.dtype,
-*         'data': end.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': end.offset,
-*         'order': end.order
-*     }
-* ];
-*
-* // Resolve an input strategy when iterating over subarray views:
-* var strategyX = strategy( views[ 0 ] );
-*
-* // Create a workspace array for storing iteration indices:
-* var ibuf = zeros( xsh.length );
-*
-* // Define the loop and core dimensions:
-* var ldims = [ 0, 1 ];
-* var cdims = [ 2, 3 ];
-*
-* // Resolve a kernel:
-* var f = kernel( 2 );
-*
-* // Apply strided function:
-* f( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-*
-* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-*/
-function kernel( ndims ) {
-	if ( ndims < 2 || ndims > MAX_DIMS ) {
-		return null;
-	}
-	return KERNELS[ ndims-2 ];
-}
-
-
-// EXPORTS //
-
-module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json
deleted file mode 100644
index 5b9f3be3c9bc..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
-  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked",
-  "version": "0.0.0",
-  "description": "Return a kernel for applying a one-dimensional strided array function to an input ndarray according to a callback function using loop blocking.",
-  "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": {
-    "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",
-    "nullary",
-    "apply",
-    "fill",
-    "callback",
-    "vector",
-    "kernel",
-    "blocked"
-  ],
-  "__stdlib__": {}
-}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js
deleted file mode 100644
index 053851cfb7f7..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
-* @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 kernel = require( './../lib' );
-
-
-// TESTS //
-
-tape( 'main export is a function', function test( t ) {
-	t.ok( true, __filename );
-	t.strictEqual( typeof kernel, 'function', 'main export is a function' );
-	t.end();
-});
-
-// FIXME: add tests
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md
deleted file mode 100644
index 538a115ff2ea..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/README.md
+++ /dev/null
@@ -1,320 +0,0 @@
-<!--
-
-@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.
-
--->
-
-# kernel
-
-> Apply a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
-
-<section class="intro">
-
-</section>
-
-<!-- /.intro -->
-
-<section class="usage">
-
-## Usage
-
-```javascript
-var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
-```
-
-<!-- lint disable maximum-heading-length -->
-
-#### kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
-
-<!-- lint enable maximum-heading-length -->
-
-Applies a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
-
-<!-- eslint-disable max-len -->
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-
-function clbk( value, idx ) {
-    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-    'dtype': 'float64',
-    'data': xbuf,
-    'shape': xsh,
-    'strides': sx,
-    'offset': ox,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 0.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 4.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-    {
-        'dtype': x.dtype,
-        'data': x.data,
-        'shape': [ 2, 2 ],
-        'strides': [ 2, 1 ],
-        'offset': x.offset,
-        'order': x.order
-    },
-    {
-        'dtype': start.dtype,
-        'data': start.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': start.offset,
-        'order': start.order
-    },
-    {
-        'dtype': end.dtype,
-        'data': end.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': end.offset,
-        'order': end.order
-    }
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1 ];
-var cdims = [ 2, 3 ];
-
-// Apply strided function:
-kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-// returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-```
-
-The function has the following parameters:
-
--   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
--   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
--   **ref**: original input ndarray provided to a callback function.
--   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
--   **shape**: loop dimensions.
--   **stridesX**: loop dimension strides for the input ndarray.
--   **strategyX**: strategy for marshaling data to and from an input ndarray view.
--   **ibuf**: workspace for storing iteration indices.
--   **ldims**: list of loop dimensions.
--   **cdims**: list of "core" dimensions.
--   **options**: function options which are passed through to `fcn`.
--   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
--   **clbk**: callback function.
--   **thisArg**: callback execution context.
-
-The function iterates based on the linear **view** index, regardless as to how the data is stored in memory.
-
-</section>
-
-<!-- /.usage -->
-
-<section class="notes">
-
-## Notes
-
--   The strided array function is expected to have the following signature:
-
-    ```text
-    fcn( arrays[, options], clbk )
-    ```
-
-    where
-
-    -   **arrays**: array containing a one-dimensional subarray of the input ndarray and any additional ndarray arguments as subarrays.
-    -   **options**: function options (_optional_).
-    -   **clbk**: callback function.
-
--   The callback function is provided the following arguments:
-
-    -   **value**: current array element.
-    -   **idx**: current array element indices.
-    -   **arr**: the original input ndarray.
-
-</section>
-
-<!-- /.notes -->
-
-<section class="examples">
-
-## Examples
-
-<!-- eslint-disable max-len -->
-
-<!-- eslint no-undef: "error" -->
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
-
-function clbk( value, idx ) {
-    return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-    'dtype': 'float64',
-    'data': xbuf,
-    'shape': xsh,
-    'strides': sx,
-    'offset': ox,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 0.0 ] ),
-    'shape': [ 1, 1, 3 ],
-    'strides': [ 0, 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 4.0 ] ),
-    'shape': [ 1, 1, 3 ],
-    'strides': [ 0, 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-    {
-        'dtype': x.dtype,
-        'data': x.data,
-        'shape': [ 2, 2 ],
-        'strides': [ 2, 1 ],
-        'offset': x.offset,
-        'order': x.order
-    },
-    {
-        'dtype': start.dtype,
-        'data': start.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': start.offset,
-        'order': start.order
-    },
-    {
-        'dtype': end.dtype,
-        'data': end.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': end.offset,
-        'order': end.order
-    }
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1, 2 ];
-var cdims = [ 3, 4 ];
-
-// Apply strided function:
-kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
-```
-
-</section>
-
-<!-- /.examples -->
-
-<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
-
-<section class="related">
-
-</section>
-
-<!-- /.related -->
-
-<section class="links">
-
-[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
-
-</section>
-
-<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
deleted file mode 100644
index 8ca3bda05cc0..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/docs/repl.txt
+++ /dev/null
@@ -1,62 +0,0 @@
-
-{{alias}}( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
-    Applies a one-dimensional strided array function to an input ndarray
-    according to a callback function using linear view iteration.
-
-    The function iterates based on the linear view index, regardless as to how
-    the data is stored in memory.
-
-    Parameters
-    ----------
-    fcn: Function
-        Wrapper for a one-dimensional strided array function.
-
-    arr: Array<Object>
-        Array containing an input ndarray descriptor, followed by any additional
-        ndarray arguments.
-
-    ref: ndarray
-        Original input ndarray provided to a callback function.
-
-    v: Array<Object>
-        Initialized ndarray descriptors representing subarray views.
-
-    sh: Array<integer>
-        Loop dimensions.
-
-    sx: Array<integer>
-        Loop dimension strides for the input ndarray.
-
-    st: Object
-        Strategy for marshaling data to and from an input ndarray view.
-
-    ib: Array<integer>
-        Workspace for storing iteration indices.
-
-    ld: Array<integer>
-        List of loop dimensions.
-
-    cd: Array<integer>
-        List of "core" dimensions.
-
-    o: Object
-        Function options which are passed through to `fcn`.
-
-    po: boolean
-        Boolean indicating whether to pass an options argument to a strided
-        array function.
-
-    cb: Function
-        Callback function.
-
-    ctx: any
-        Callback execution context.
-
-    Examples
-    --------
-    > var f = {{alias}}
-    <Function>
-
-    See Also
-    --------
-
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js
deleted file mode 100644
index c56bd7b29f93..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/examples/index.js
+++ /dev/null
@@ -1,117 +0,0 @@
-/**
-* @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-len */
-
-'use strict';
-
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-var kernel = require( './../lib' );
-
-function clbk( value, idx ) {
-	return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-	'dtype': 'float64',
-	'data': xbuf,
-	'shape': xsh,
-	'strides': sx,
-	'offset': ox,
-	'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-	'dtype': 'float64',
-	'data': new Float64Array( [ 0.0 ] ),
-	'shape': [ 1, 1, 3 ],
-	'strides': [ 0, 0, 0 ],
-	'offset': 0,
-	'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-	'dtype': 'float64',
-	'data': new Float64Array( [ 4.0 ] ),
-	'shape': [ 1, 1, 3 ],
-	'strides': [ 0, 0, 0 ],
-	'offset': 0,
-	'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-	{
-		'dtype': x.dtype,
-		'data': x.data,
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': x.offset,
-		'order': x.order
-	},
-	{
-		'dtype': start.dtype,
-		'data': start.data,
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': start.offset,
-		'order': start.order
-	},
-	{
-		'dtype': end.dtype,
-		'data': end.data,
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': end.offset,
-		'order': end.order
-	}
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1, 2 ];
-var cdims = [ 3, 4 ];
-
-// Apply strided function:
-kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 3 ], [ 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js
deleted file mode 100644
index ad25b5d7bbcf..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/callback_wrapper.js
+++ /dev/null
@@ -1,72 +0,0 @@
-/**
-* @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 put = require( '@stdlib/array/base/put' );
-var ind2sub = require( '@stdlib/ndarray/base/ind2sub' ).assign;
-var zeros = require( '@stdlib/array/base/zeros' );
-
-
-// VARIABLES //
-
-var MODE = 'throw';
-
-
-// MAIN //
-
-/**
-* Wraps a provided callback function.
-*
-* @private
-* @param {ndarray} arr - input ndarray
-* @param {ndarray} view - subarray view of the input ndarray
-* @param {NonNegativeIntegerArray} idx - workspace for storing iteration indices
-* @param {NonNegativeIntegerArray} ldims - loop dimensions
-* @param {NonNegativeIntegerArray} lidx - current loop iteration indices
-* @param {NonNegativeIntegerArray} cdims - core dimensions
-* @param {Function} clbk - callback function
-* @param {thisArg} thisArg - callback execution context
-* @returns {Function} callback wrapper
-*/
-function wrap( arr, view, idx, ldims, lidx, cdims, clbk, thisArg ) {
-	var cidx = zeros( cdims.length ); // workspace for storing core iteration indices
-	put( idx, ldims, lidx, MODE );
-	return wrapper;
-
-	/**
-	* Invokes a callback function.
-	*
-	* @private
-	* @param {*} v - value
-	* @param {NonNegativeInteger} aidx - current array element index
-	* @returns {*} result
-	*/
-	function wrapper( v, aidx ) {
-		ind2sub( view.shape, view.strides, view.offset, view.order, aidx, MODE, cidx ); // eslint-disable-line max-len
-		put( idx, cdims, cidx, MODE );
-		return clbk.call( thisArg, v, idx.slice(), arr );
-	}
-}
-
-
-// EXPORTS //
-
-module.exports = wrap;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js
deleted file mode 100644
index 7d47221b96d7..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/index.js
+++ /dev/null
@@ -1,132 +0,0 @@
-/**
-* @license Apache-2.0
-*
-* Copyright (c) 2026 The Stdlib Authors.
-*
-* Licensed under the Apache License, Version 2.0 (the "License");
-* you may not use this file except in compliance with the License.
-* You may obtain a copy of the License at
-*
-*    http://www.apache.org/licenses/LICENSE-2.0
-*
-* Unless required by applicable law or agreed to in writing, software
-* distributed under the License is distributed on an "AS IS" BASIS,
-* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-* See the License for the specific language governing permissions and
-* limitations under the License.
-*/
-
-'use strict';
-
-/**
-* Apply a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
-*
-* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-* var zeros = require( '@stdlib/array/base/zeros' );
-* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-* var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear' );
-*
-* function clbk( value, idx ) {
-*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-* }
-*
-* // Create a data buffer:
-* var xbuf = new Float64Array( 12 );
-*
-* // Define the array shape:
-* var xsh = [ 1, 3, 2, 2 ];
-*
-* // Define the array strides:
-* var sx = [ 12, 4, 2, 1 ];
-*
-* // Define the index offset:
-* var ox = 0;
-*
-* // Create an input ndarray descriptor:
-* var x = {
-*     'dtype': 'float64',
-*     'data': xbuf,
-*     'shape': xsh,
-*     'strides': sx,
-*     'offset': ox,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the starting index (inclusive):
-* var start = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 0.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the ending index (exclusive):
-* var end = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 4.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Initialize ndarray descriptors representing subarray views:
-* var views = [
-*     {
-*         'dtype': x.dtype,
-*         'data': x.data,
-*         'shape': [ 2, 2 ],
-*         'strides': [ 2, 1 ],
-*         'offset': x.offset,
-*         'order': x.order
-*     },
-*     {
-*         'dtype': start.dtype,
-*         'data': start.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': start.offset,
-*         'order': start.order
-*     },
-*     {
-*         'dtype': end.dtype,
-*         'data': end.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': end.offset,
-*         'order': end.order
-*     }
-* ];
-*
-* // Resolve an input strategy when iterating over subarray views:
-* var strategyX = strategy( views[ 0 ] );
-*
-* // Create a workspace array for storing iteration indices:
-* var ibuf = zeros( xsh.length );
-*
-* // Define the loop and core dimensions:
-* var ldims = [ 0, 1 ];
-* var cdims = [ 2, 3 ];
-*
-* // Apply strided function:
-* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-*
-* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-*/
-
-// MODULES //
-
-var main = require( './main.js' );
-
-
-// EXPORTS //
-
-module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js
deleted file mode 100644
index dee8637de4e2..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/lib/main.js
+++ /dev/null
@@ -1,208 +0,0 @@
-/**
-* @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-len, max-params */
-
-'use strict';
-
-// MODULES //
-
-var numel = require( '@stdlib/ndarray/base/numel' );
-var vind2bind = require( '@stdlib/ndarray/base/vind2bind' );
-var ind2sub = require( '@stdlib/ndarray/base/ind2sub' );
-var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
-var offsets = require( '@stdlib/ndarray/base/offsets' );
-var wrap = require( './callback_wrapper.js' );
-
-
-// VARIABLES //
-
-var MODE = 'throw';
-
-
-// MAIN //
-
-/**
-* Applies a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.
-*
-* @param {Function} fcn - wrapper for a one-dimensional strided array function
-* @param {Array<Object>} arrays - ndarray descriptors
-* @param {ndarrayLike} ref - original input ndarray provided to a callback function
-* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
-* @param {Array<integer>} shape - loop dimensions
-* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
-* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
-* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
-* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
-* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
-* @param {Options} opts - function options
-* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
-* @param {Function} clbk - callback function
-* @param {*} thisArg - callback execution context
-* @returns {void}
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-* var zeros = require( '@stdlib/array/base/zeros' );
-* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-*
-* function clbk( value, idx ) {
-*     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-* }
-*
-* // Create a data buffer:
-* var xbuf = new Float64Array( 12 );
-*
-* // Define the array shape:
-* var xsh = [ 1, 3, 2, 2 ];
-*
-* // Define the array strides:
-* var sx = [ 12, 4, 2, 1 ];
-*
-* // Define the index offset:
-* var ox = 0;
-*
-* // Create an input ndarray descriptor:
-* var x = {
-*     'dtype': 'float64',
-*     'data': xbuf,
-*     'shape': xsh,
-*     'strides': sx,
-*     'offset': ox,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the starting index (inclusive):
-* var start = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 0.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Create an ndarray descriptor for the ending index (exclusive):
-* var end = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 4.0 ] ),
-*     'shape': [ 1, 3 ],
-*     'strides': [ 0, 0 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* // Initialize ndarray descriptors representing subarray views:
-* var views = [
-*     {
-*         'dtype': x.dtype,
-*         'data': x.data,
-*         'shape': [ 2, 2 ],
-*         'strides': [ 2, 1 ],
-*         'offset': x.offset,
-*         'order': x.order
-*     },
-*     {
-*         'dtype': start.dtype,
-*         'data': start.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': start.offset,
-*         'order': start.order
-*     },
-*     {
-*         'dtype': end.dtype,
-*         'data': end.data,
-*         'shape': [],
-*         'strides': [ 0 ],
-*         'offset': end.offset,
-*         'order': end.order
-*     }
-* ];
-*
-* // Resolve an input strategy when iterating over subarray views:
-* var strategyX = strategy( views[ 0 ] );
-*
-* // Create a workspace array for storing iteration indices:
-* var ibuf = zeros( xsh.length );
-*
-* // Define the loop and core dimensions:
-* var ldims = [ 0, 1 ];
-* var cdims = [ 2, 3 ];
-*
-* // Apply strided function:
-* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-*
-* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
-* // returns [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ]
-*/
-function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
-	var len;
-	var arr;
-	var sub;
-	var iv;
-	var io;
-	var N;
-	var x;
-	var v;
-	var i;
-	var j;
-	var f;
-
-	N = arrays.length;
-
-	// Cache a reference to the input ndarray:
-	x = arrays[ 0 ];
-
-	// Compute the total number of elements over which to iterate:
-	len = numel( shape );
-
-	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
-	iv = offsets( arrays );
-
-	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
-	v = copyIndexed( views );
-
-	// Iterate based on the linear **view** index, regardless as to how the data is stored in memory...
-	io = zeros( N );
-	for ( i = 0; i < len; i++ ) {
-		for ( j = 0; j < N; j++ ) {
-			arr = arrays[ j ];
-			io[ j ] = vind2bind( shape, arr.strides, iv[ j ], arr.order, i, MODE );
-		}
-		setViewOffsets( views, io );
-		v[ 0 ] = strategyX.input( views[ 0 ] );
-		sub = ind2sub( shape, stridesX, 0, x.order, i, MODE );
-		f = wrap( ref, views[ 0 ], ibuf, ldims, sub, cdims, clbk, thisArg );
-		if ( hasOpts ) {
-			fcn( v, opts, f );
-		} else {
-			fcn( v, f );
-		}
-		strategyX.output( views[ 0 ] );
-	}
-}
-
-
-// EXPORTS //
-
-module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json
deleted file mode 100644
index 909513f56257..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/package.json
+++ /dev/null
@@ -1,65 +0,0 @@
-{
-  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear",
-  "version": "0.0.0",
-  "description": "Apply a one-dimensional strided array function to an input ndarray according to a callback function using linear view iteration.",
-  "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": {
-    "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",
-    "nullary",
-    "apply",
-    "fill",
-    "callback",
-    "vector",
-    "kernel",
-    "linear"
-  ],
-  "__stdlib__": {}
-}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js
deleted file mode 100644
index 053851cfb7f7..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/linear/test/test.js
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
-* @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 kernel = require( './../lib' );
-
-
-// TESTS //
-
-tape( 'main export is a function', function test( t ) {
-	t.ok( true, __filename );
-	t.strictEqual( typeof kernel, 'function', 'main export is a function' );
-	t.end();
-});
-
-// FIXME: add tests
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/README.md
deleted file mode 100644
index d16c35374a8e..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/README.md
+++ /dev/null
@@ -1,207 +0,0 @@
-<!--
-
-@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.
-
--->
-
-# strategy
-
-> Return an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
-
-<section class="intro">
-
-</section>
-
-<!-- /.intro -->
-
-<section class="usage">
-
-## Usage
-
-```javascript
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-```
-
-#### strategy( x )
-
-Returns an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-
-var x = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-    'shape': [ 1 ],
-    'strides': [ 1 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-var out = strategy( x );
-// returns {...}
-```
-
-The function accepts the following arguments:
-
--   **x**: ndarray [descriptor][@stdlib/ndarray/base/descriptor].
-
-</section>
-
-<!-- /.usage -->
-
-<section class="notes">
-
-## Notes
-
--   The function returns an object having the following properties:
-
-    -   **input**: function providing a strategy for reshaping an input ndarray to a one-dimensional input ndarray view **prior** to applying a one-dimensional strided array function.
-    -   **output**: function providing a strategy for reshaping the results of a one-dimensional strided array function to the shape of an input ndarray **after** applying a one-dimensional strided array function. This function should only be invoked for input ndarrays which are written to by the one-dimensional strided array function.
-
-</section>
-
-<!-- /.notes -->
-
-<section class="examples">
-
-## Examples
-
-<!-- eslint-disable max-len -->
-
-<!-- eslint no-undef: "error" -->
-
-```javascript
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var resolveKernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-
-function clbk( value, idx ) {
-    return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-    'dtype': 'float64',
-    'data': xbuf,
-    'shape': xsh,
-    'strides': sx,
-    'offset': ox,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 0.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-    'dtype': 'float64',
-    'data': new Float64Array( [ 4.0 ] ),
-    'shape': [ 1, 3 ],
-    'strides': [ 0, 0 ],
-    'offset': 0,
-    'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-    {
-        'dtype': x.dtype,
-        'data': x.data,
-        'shape': [ 2, 2 ],
-        'strides': [ 2, 1 ],
-        'offset': x.offset,
-        'order': x.order
-    },
-    {
-        'dtype': start.dtype,
-        'data': start.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': start.offset,
-        'order': start.order
-    },
-    {
-        'dtype': end.dtype,
-        'data': end.data,
-        'shape': [],
-        'strides': [ 0 ],
-        'offset': end.offset,
-        'order': end.order
-    }
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1 ];
-var cdims = [ 2, 3 ];
-
-// Resolve a kernel:
-var kernel = resolveKernel( 2 );
-
-// Apply strided function:
-kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
-```
-
-</section>
-
-<!-- /.examples -->
-
-<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
-
-<section class="related">
-
-</section>
-
-<!-- /.related -->
-
-<section class="links">
-
-[@stdlib/ndarray/base/descriptor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/descriptor
-
-</section>
-
-<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/docs/repl.txt
deleted file mode 100644
index cda7cabbf51b..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/docs/repl.txt
+++ /dev/null
@@ -1,43 +0,0 @@
-
-{{alias}}( x )
-    Returns an object containing methods for reshaping an ndarray as a one-
-    dimensional strided array view.
-
-    Parameters
-    ----------
-    x: Object
-        Descriptor.
-
-    Returns
-    -------
-    out: Object
-        Object containing an input and output strategy.
-
-    out.input: Function
-        Function providing a strategy for reshaping an input ndarray to a one-
-        dimensional input ndarray view prior to applying a one-dimensional
-        strided array function.
-
-    out.output: Function
-        Function providing a strategy for reshaping the results of a one-
-        dimensional strided array function to the shape of an input ndarray
-        after applying a one-dimensional strided array function. This function
-        should only be invoked for input ndarrays which are written to by the
-        one-dimensional strided array function.
-
-    Examples
-    --------
-    > var x = {
-    ...   'dtype': 'float64',
-    ...   'data': new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] ),
-    ...   'shape': [ 1 ],
-    ...   'strides': [ 1 ],
-    ...   'offset': 0,
-    ...   'order': 'row-major'
-    ... };
-    > var o = {{alias}}( x )
-    {...}
-
-    See Also
-    --------
-
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/examples/index.js
deleted file mode 100644
index 2a60cb1f1a45..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/examples/index.js
+++ /dev/null
@@ -1,120 +0,0 @@
-/**
-* @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-len */
-
-'use strict';
-
-var Float64Array = require( '@stdlib/array/float64' );
-var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
-var zeros = require( '@stdlib/array/base/zeros' );
-var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var resolveKernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked' );
-var strategy = require( './../lib' );
-
-function clbk( value, idx ) {
-	return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
-}
-
-// Create a data buffer:
-var xbuf = new Float64Array( 12 );
-
-// Define the array shape:
-var xsh = [ 1, 3, 2, 2 ];
-
-// Define the array strides:
-var sx = [ 12, 4, 2, 1 ];
-
-// Define the index offset:
-var ox = 0;
-
-// Create an input ndarray descriptor:
-var x = {
-	'dtype': 'float64',
-	'data': xbuf,
-	'shape': xsh,
-	'strides': sx,
-	'offset': ox,
-	'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the starting index (inclusive):
-var start = {
-	'dtype': 'float64',
-	'data': new Float64Array( [ 0.0 ] ),
-	'shape': [ 1, 3 ],
-	'strides': [ 0, 0 ],
-	'offset': 0,
-	'order': 'row-major'
-};
-
-// Create an ndarray descriptor for the ending index (exclusive):
-var end = {
-	'dtype': 'float64',
-	'data': new Float64Array( [ 4.0 ] ),
-	'shape': [ 1, 3 ],
-	'strides': [ 0, 0 ],
-	'offset': 0,
-	'order': 'row-major'
-};
-
-// Initialize ndarray descriptors representing subarray views:
-var views = [
-	{
-		'dtype': x.dtype,
-		'data': x.data,
-		'shape': [ 2, 2 ],
-		'strides': [ 2, 1 ],
-		'offset': x.offset,
-		'order': x.order
-	},
-	{
-		'dtype': start.dtype,
-		'data': start.data,
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': start.offset,
-		'order': start.order
-	},
-	{
-		'dtype': end.dtype,
-		'data': end.data,
-		'shape': [],
-		'strides': [ 0 ],
-		'offset': end.offset,
-		'order': end.order
-	}
-];
-
-// Resolve an input strategy when iterating over subarray views:
-var strategyX = strategy( views[ 0 ] );
-
-// Create a workspace array for storing iteration indices:
-var ibuf = zeros( xsh.length );
-
-// Define the loop and core dimensions:
-var ldims = [ 0, 1 ];
-var cdims = [ 2, 3 ];
-
-// Resolve a kernel:
-var kernel = resolveKernel( 2 );
-
-// Apply strided function:
-kernel( gfillBy, [ x, start, end ], x, views, [ 1, 3 ], [ 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
-
-console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/index.js
deleted file mode 100644
index d656140f45fa..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/index.js
+++ /dev/null
@@ -1,50 +0,0 @@
-/**
-* @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';
-
-/**
-* Return an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
-*
-* @module @stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
-*
-* var x = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-*     'shape': [ 1 ],
-*     'strides': [ 1 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* var out = strategy( x );
-* // returns {...}
-*/
-
-// MODULES //
-
-var main = require( './main.js' );
-
-
-// EXPORTS //
-
-module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/main.js
deleted file mode 100644
index 45d344b42a93..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/lib/main.js
+++ /dev/null
@@ -1,283 +0,0 @@
-/**
-* @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 iterationOrder = require( '@stdlib/ndarray/base/iteration-order' );
-var minmaxViewBufferIndex = require( '@stdlib/ndarray/base/minmax-view-buffer-index' ).assign;
-var ndarraylike2descriptor = require( '@stdlib/ndarray/base/ndarraylike2descriptor' );
-var assign = require( '@stdlib/ndarray/base/assign' );
-var descriptor = require( '@stdlib/ndarray/base/descriptor' );
-var empty = require( '@stdlib/ndarray/base/empty' );
-
-
-// FUNCTIONS //
-
-/**
-* Returns an input ndarray.
-*
-* @private
-* @param {Object} x - input ndarray descriptor
-* @returns {Object} input ndarray descriptor
-*/
-function identity( x ) {
-	return x;
-}
-
-/**
-* Broadcasts a zero-dimensional ndarray to a one-dimensional ndarray view containing a single element.
-*
-* @private
-* @param {Object} x - input ndarray descriptor
-* @returns {Object} broadcasted ndarray view descriptor
-*/
-function broadcast( x ) {
-	return descriptor( x.dtype, x.data, [ 1 ], [ 0 ], x.offset, x.order );
-}
-
-/**
-* Returns a function which returns an ndarray view in which the singleton dimensions are removed from an input ndarray having only one non-singleton dimension.
-*
-* @private
-* @param {Object} arr - original ndarray descriptor
-* @param {integer} index - index of the non-singleton dimension
-* @returns {Function} function for returning an ndarray view
-*/
-function squeeze( arr, index ) {
-	var sh = [ arr.shape[ index ] ];
-	var sx = [ arr.strides[ index ] ];
-	return reshape;
-
-	/**
-	* Returns an ndarray view in which the singleton dimensions are removed from an input ndarray having only one non-singleton dimension.
-	*
-	* @private
-	* @param {Object} x - input ndarray descriptor
-	* @returns {Object} a squeezed ndarray view descriptor
-	*/
-	function reshape( x ) {
-		return descriptor( x.dtype, x.data, sh, sx, x.offset, x.order );
-	}
-}
-
-/**
-* Returns a function which returns a one-dimensional ndarray view of a contiguous input ndarray having more than one dimension.
-*
-* @private
-* @param {integer} len - number of elements in an ndarray
-* @param {integer} iox - iteration order
-* @returns {Function} function for returning a one-dimensional ndarray view
-*/
-function contiguous( len, iox ) {
-	var xmmv;
-	var ind;
-	var sh;
-	var sx;
-
-	// Resolve the index of the min/max view buffer element which is the first indexed element...
-	if ( iox === 1 ) {
-		ind = 0;
-	} else {
-		ind = 1;
-	}
-	// Initialize an array for storing the min/max view buffer elements:
-	xmmv = [ 0, 0 ]; // [ min, max ]
-
-	// Initialize the output one-dimensional view's shape and strides:
-	sh = [ len ];
-	sx = [ iox ];
-
-	return reshape;
-
-	/**
-	* Returns a one-dimensional ndarray view of a contiguous input ndarray having more than one dimension.
-	*
-	* @private
-	* @param {Object} x - input ndarray descriptor
-	* @returns {Object} a one-dimensional ndarray view descriptor
-	*/
-	function reshape( x ) {
-		// Resolve the minimum and maximum linear indices in the underlying data buffer which are accessible to the input ndarray view:
-		minmaxViewBufferIndex( x.shape, x.strides, x.offset, xmmv );
-
-		// Note: `xmmv[ ind ]` corresponds to the index of the first indexed element
-		return descriptor( x.dtype, x.data, sh, sx, xmmv[ ind ], x.order );
-	}
-}
-
-/**
-* Returns a function which copies an input ndarray to a contiguous ndarray workspace.
-*
-* @private
-* @param {integer} len - number of elements in an ndarray
-* @param {Object} workspace - ndarray workspace descriptor
-* @returns {Function} function which copies an input ndarray to a contiguous ndarray workspace
-*/
-function copyToWorkspace( len, workspace ) {
-	var view = descriptor( workspace.dtype, workspace.data, [ len ], [ 1 ], workspace.offset, workspace.order ); // eslint-disable-line max-len
-	return reshape;
-
-	/**
-	* Copies an input ndarray to a contiguous ndarray workspace and returns a one-dimensional workspace view.
-	*
-	* @private
-	* @param {Object} x - input ndarray descriptor
-	* @returns {Object} one-dimensional workspace view descriptor
-	*/
-	function reshape( x ) {
-		assign( [ x, workspace ] );
-		return view;
-	}
-}
-
-/**
-* Returns a function which copies from a contiguous ndarray workspace to an input ndarray.
-*
-* @private
-* @param {Object} workspace - ndarray workspace descriptor
-* @returns {Function} function which copies from a contiguous ndarray workspace to an input ndarray
-*/
-function copyFromWorkspace( workspace ) {
-	return copy;
-
-	/**
-	* Copies from a contiguous ndarray workspace to an input ndarray.
-	*
-	* @private
-	* @param {Object} x - input ndarray descriptor
-	* @returns {Object} input ndarray descriptor
-	*/
-	function copy( x ) {
-		assign( [ workspace, x ] );
-		return x;
-	}
-}
-
-
-// MAIN //
-
-/**
-* Returns an object containing methods for reshaping an ndarray as a one-dimensional strided array view.
-*
-* @param {Object} x - ndarray descriptor
-* @param {*} x.dtype - ndarray data type
-* @param {Collection} x.data - ndarray data buffer
-* @param {Array<integer>} x.shape - ndarray shape
-* @param {Array<integer>} x.strides - ndarray strides
-* @param {integer} x.offset - ndarray index offset
-* @param {string} x.order - ndarray memory layout
-* @returns {Object} object containing methods implementing a reshape strategy
-*
-* @example
-* var Float64Array = require( '@stdlib/array/float64' );
-*
-* var x = {
-*     'dtype': 'float64',
-*     'data': new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ),
-*     'shape': [ 1 ],
-*     'strides': [ 1 ],
-*     'offset': 0,
-*     'order': 'row-major'
-* };
-*
-* var out = strategy( x );
-* // returns {...}
-*/
-function strategy( x ) {
-	var workspace;
-	var ndims;
-	var xmmv;
-	var len;
-	var iox;
-	var sh;
-	var ns;
-	var i;
-
-	// Resolve the number of array dimensions:
-	sh = x.shape;
-	ndims = sh.length;
-
-	// Check whether the ndarray is zero-dimensional...
-	if ( ndims === 0 ) {
-		return {
-			'input': broadcast,
-			'output': identity
-		};
-	}
-	// Check whether the ndarray is already one-dimensional...
-	if ( ndims === 1 ) {
-		return {
-			'input': identity,
-			'output': identity
-		};
-	}
-	// Determine the number of singleton dimensions...
-	len = 1; // number of elements
-	ns = 0;  // number of singleton dimensions
-	for ( i = 0; i < ndims; i++ ) {
-		// Check whether the current dimension is a singleton dimension...
-		if ( sh[ i ] === 1 ) {
-			ns += 1;
-		}
-		len *= sh[ i ];
-	}
-	// Determine whether the ndarray has only **one** non-singleton dimension (e.g., ndims=4, shape=[10,1,1,1]) so that we can simply create an ndarray view without the singleton dimensions...
-	if ( ns === ndims-1 ) {
-		// Get the index of the non-singleton dimension...
-		for ( i = 0; i < ndims; i++ ) {
-			if ( sh[ i ] !== 1 ) {
-				break;
-			}
-		}
-		return {
-			'input': squeeze( x, i ),
-			'output': identity
-		};
-	}
-	iox = iterationOrder( x.strides ); // +/-1
-
-	// Determine whether we can avoid copying data...
-	if ( iox !== 0 ) {
-		// Determine the minimum and maximum linear indices which are accessible by the ndarray view:
-		xmmv = minmaxViewBufferIndex( sh, x.strides, x.offset, [ 0, 0 ] );
-
-		// Determine whether we can ignore shape (and strides) and create a new one-dimensional ndarray view...
-		if ( len === ( xmmv[1]-xmmv[0]+1 ) ) {
-			return {
-				'input': contiguous( len, iox ),
-				'output': identity
-			};
-		}
-		// The ndarray is non-contiguous, so we cannot directly interpret as a one-dimensional ndarray...
-
-		// Fall-through to copying to a workspace ndarray...
-	}
-	// At this point, we're dealing with a non-contiguous multi-dimensional ndarray, so we need to copy to a contiguous workspace:
-	workspace = ndarraylike2descriptor( empty( x.dtype, x.shape, x.order ) );
-	return {
-		'input': copyToWorkspace( len, workspace ),
-		'output': copyFromWorkspace( workspace )
-	};
-}
-
-
-// EXPORTS //
-
-module.exports = strategy;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/package.json b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/package.json
deleted file mode 100644
index 4090e40f792e..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/package.json
+++ /dev/null
@@ -1,61 +0,0 @@
-{
-  "name": "@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy",
-  "version": "0.0.0",
-  "description": "Return an object containing methods for reshaping an ndarray as a one-dimensional strided array view.",
-  "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": {
-    "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",
-    "ndarray",
-    "nullary",
-    "workspace",
-    "strategy",
-    "util"
-  ],
-  "__stdlib__": {}
-}
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/test/test.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/test/test.js
deleted file mode 100644
index 5424549718c9..000000000000
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy/test/test.js
+++ /dev/null
@@ -1,35 +0,0 @@
-/**
-* @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 strategy = require( './../lib' );
-
-
-// TESTS //
-
-tape( 'main export is a function', function test( t ) {
-	t.ok( true, __filename );
-	t.strictEqual( typeof strategy, 'function', 'main export is a function' );
-	t.end();
-});
-
-// FIXME: add tests
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
index e284fd4c4265..4565187f792e 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
@@ -47,7 +47,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 
 function clbk( value, idx ) {
     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
@@ -188,7 +188,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 
 function clbk( value, idx ) {
     return ( idx[ 0 ]*10 ) + idx[ 1 ];
@@ -287,7 +287,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 
 function clbk( value, idx ) {
     return ( idx[ 0 ]*100 ) + ( idx[ 1 ]*10 ) + idx[ 2 ];
@@ -412,7 +412,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 
 function clbk( value, idx ) {
     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
@@ -537,7 +537,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 
 function clbk( value, idx ) {
     return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
@@ -690,7 +690,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked' );
 
 function clbk( value, idx ) {
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/examples/index.js
index 1c93f3555ca7..dd301b39f5bf 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/examples/index.js
@@ -24,7 +24,7 @@ var Float64Array = require( '@stdlib/array/float64' );
 var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 var zeros = require( '@stdlib/array/base/zeros' );
 var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 var kernel = require( './../lib' );
 
 function clbk( value, idx ) {
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/0d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/0d.js
index 48fd931d3ed9..b0f1f2f87f81 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/0d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/0d.js
@@ -56,7 +56,7 @@ var wrap = require( './callback_wrapper.js' );
 * var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 * var zeros = require( '@stdlib/array/base/zeros' );
 * var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 *
 * function clbk( value, idx ) {
 *     return ( idx[ 0 ]*10 ) + idx[ 1 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/1d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/1d.js
index 4d8f5a636450..5b65676a4115 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/1d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/1d.js
@@ -56,7 +56,7 @@ var wrap = require( './callback_wrapper.js' );
 * var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 * var zeros = require( '@stdlib/array/base/zeros' );
 * var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 *
 * function clbk( value, idx ) {
 *     return ( idx[ 0 ]*100 ) + ( idx[ 1 ]*10 ) + idx[ 2 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/2d.js
index 537e991a6dee..5198601d83d2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/2d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/2d.js
@@ -57,7 +57,7 @@ var wrap = require( './callback_wrapper.js' );
 * var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 * var zeros = require( '@stdlib/array/base/zeros' );
 * var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 *
 * function clbk( value, idx ) {
 *     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/3d.js
index 86a0b4ef53e7..18b49d0da465 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/3d.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/3d.js
@@ -57,7 +57,7 @@ var wrap = require( './callback_wrapper.js' );
 * var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 * var zeros = require( '@stdlib/array/base/zeros' );
 * var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 *
 * function clbk( value, idx ) {
 *     return ( idx[ 2 ]*100 ) + ( idx[ 3 ]*10 ) + idx[ 4 ];
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
index 1caf1719d9ef..28668abd1628 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
@@ -28,7 +28,7 @@
 * var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 * var zeros = require( '@stdlib/array/base/zeros' );
 * var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 * var kernel = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked' );
 *
 * function clbk( value, idx ) {
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
index dab7e5fac81e..0dcb56d27458 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
@@ -50,7 +50,7 @@ var MAX_DIMS = KERNELS.length - 1;
 * var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
 * var zeros = require( '@stdlib/array/base/zeros' );
 * var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
-* var strategy = require( '@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/strategy' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
 *
 * function clbk( value, idx ) {
 *     return ( idx[ 1 ]*100 ) + ( idx[ 2 ]*10 ) + idx[ 3 ];

From 3359fcdbe75427472c5a702e5adf2eef59c0b879 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sat, 3 Oct 2026 18:20:49 +0500
Subject: [PATCH 4/4] feat: add kernels

---
 .../nullary-strided1d-by/unblocked/README.md  | 875 ++++++++++++++++++
 .../unblocked/docs/repl.txt                   | 358 ++++++-
 .../nullary-strided1d-by/unblocked/lib/10d.js | 354 +++++++
 .../nullary-strided1d-by/unblocked/lib/4d.js  | 258 ++++++
 .../nullary-strided1d-by/unblocked/lib/5d.js  | 274 ++++++
 .../nullary-strided1d-by/unblocked/lib/6d.js  | 290 ++++++
 .../nullary-strided1d-by/unblocked/lib/7d.js  | 306 ++++++
 .../nullary-strided1d-by/unblocked/lib/8d.js  | 322 +++++++
 .../nullary-strided1d-by/unblocked/lib/9d.js  | 338 +++++++
 .../unblocked/lib/index.js                    |  14 +
 .../unblocked/lib/main.js                     |  16 +-
 11 files changed, 3403 insertions(+), 2 deletions(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/10d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/4d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/5d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/6d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/7d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/8d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/9d.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
index 4565187f792e..c7fdd0ecdb89 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/README.md
@@ -647,6 +647,881 @@ The function has the following parameters:
 -   **clbk**: callback function.
 -   **thisArg**: callback execution context.
 
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel4d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 3 ]*100 ) + ( idx[ 4 ]*10 ) + idx[ 5 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2, 3 ];
+var cdims = [ 4, 5 ];
+
+// Apply strided function:
+kernel.kernel4d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 3 ], [ 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have four elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel5d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 4 ]*100 ) + ( idx[ 5 ]*10 ) + idx[ 6 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2, 3, 4 ];
+var cdims = [ 5, 6 ];
+
+// Apply strided function:
+kernel.kernel5d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have five elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel6d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 5 ]*100 ) + ( idx[ 6 ]*10 ) + idx[ 7 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 1, 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 12, 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2, 3, 4, 5 ];
+var cdims = [ 6, 7 ];
+
+// Apply strided function:
+kernel.kernel6d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have six elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel7d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 6 ]*100 ) + ( idx[ 7 ]*10 ) + idx[ 8 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2, 3, 4, 5, 6 ];
+var cdims = [ 7, 8 ];
+
+// Apply strided function:
+kernel.kernel7d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have seven elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel8d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 7 ]*100 ) + ( idx[ 8 ]*10 ) + idx[ 9 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2, 3, 4, 5, 6, 7 ];
+var cdims = [ 8, 9 ];
+
+// Apply strided function:
+kernel.kernel8d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have eight elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel9d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 8 ]*100 ) + ( idx[ 9 ]*10 ) + idx[ 10 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ];
+var cdims = [ 9, 10 ];
+
+// Apply strided function:
+kernel.kernel9d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have nine elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
+<!-- lint disable maximum-heading-length -->
+
+#### kernel.kernel10d( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, options, hasOpts, clbk, thisArg )
+
+<!-- lint enable maximum-heading-length -->
+
+Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+
+<!-- eslint-disable max-len -->
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+var zeros = require( '@stdlib/array/base/zeros' );
+var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+
+function clbk( value, idx ) {
+    return ( idx[ 9 ]*100 ) + ( idx[ 10 ]*10 ) + idx[ 11 ];
+}
+
+// Create a data buffer:
+var xbuf = new Float64Array( 12 );
+
+// Define the array shape:
+var xsh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+
+// Define the array strides:
+var sx = [ 12, 12, 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+
+// Define the index offset:
+var ox = 0;
+
+// Create an input ndarray descriptor:
+var x = {
+    'dtype': 'float64',
+    'data': xbuf,
+    'shape': xsh,
+    'strides': sx,
+    'offset': ox,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the starting index (inclusive):
+var start = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 0.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Create an ndarray descriptor for the ending index (exclusive):
+var end = {
+    'dtype': 'float64',
+    'data': new Float64Array( [ 4.0 ] ),
+    'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+    'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+    'offset': 0,
+    'order': 'row-major'
+};
+
+// Initialize ndarray descriptors representing subarray views:
+var views = [
+    {
+        'dtype': x.dtype,
+        'data': x.data,
+        'shape': [ 2, 2 ],
+        'strides': [ 2, 1 ],
+        'offset': x.offset,
+        'order': x.order
+    },
+    {
+        'dtype': start.dtype,
+        'data': start.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': start.offset,
+        'order': start.order
+    },
+    {
+        'dtype': end.dtype,
+        'data': end.data,
+        'shape': [],
+        'strides': [ 0 ],
+        'offset': end.offset,
+        'order': end.order
+    }
+];
+
+// Resolve an input strategy when iterating over subarray views:
+var strategyX = strategy( views[ 0 ] );
+
+// Create a workspace array for storing iteration indices:
+var ibuf = zeros( xsh.length );
+
+// Define the loop and core dimensions:
+var ldims = [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ];
+var cdims = [ 10, 11 ];
+
+// Apply strided function:
+kernel.kernel10d( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+
+var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+// returns [ [ [ [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ] ] ] ]
+```
+
+The function has the following parameters:
+
+-   **fcn**: function which will be applied to a one-dimensional input subarray according to a callback function.
+-   **arrays**: array containing an input ndarray [descriptor][@stdlib/ndarray/base/descriptor], followed by any additional ndarray arguments.
+-   **ref**: original input ndarray provided to a callback function.
+-   **views**: initialized ndarray [descriptors][@stdlib/ndarray/base/descriptor] representing subarray views.
+-   **shape**: loop dimensions. Should have ten elements.
+-   **stridesX**: loop dimension strides for the input ndarray.
+-   **strategyX**: strategy for marshaling data to and from an input ndarray view.
+-   **ibuf**: workspace for storing iteration indices.
+-   **ldims**: list of loop dimensions.
+-   **cdims**: list of "core" dimensions.
+-   **options**: function options which are passed through to `fcn`.
+-   **hasOpts**: boolean indicating whether to pass an options argument to a strided array function.
+-   **clbk**: callback function.
+-   **thisArg**: callback execution context.
+
 </section>
 
 <!-- /.usage -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
index 37172b23a6ca..c3a5a5658d58 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/docs/repl.txt
@@ -248,6 +248,362 @@
     ctx: any
         Callback execution context.
 
+
+{{alias}}.kernel4d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have four elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel5d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have five elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel6d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have six elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel7d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have seven elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel8d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have eight elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel9d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have nine elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
+
+{{alias}}.kernel10d( fcn, arr, ref, v, sh, sx, st, ib, ld, cd, o, po, cb, ctx )
+    Applies a one-dimensional strided array function to an input ndarray
+    according to a callback function.
+
+    Parameters
+    ----------
+    fcn: Function
+        Wrapper for a one-dimensional strided array function.
+
+    arr: Array<Object>
+        Array containing an input ndarray descriptor, followed by any additional
+        ndarray arguments.
+
+    ref: ndarray
+        Original input ndarray provided to a callback function.
+
+    v: Array<Object>
+        Initialized ndarray descriptors representing subarray views.
+
+    sh: Array<integer>
+        Loop dimensions. Should have ten elements.
+
+    sx: Array<integer>
+        Loop dimension strides for the input ndarray.
+
+    st: Object
+        Strategy for marshaling data to and from an input ndarray view.
+
+    ib: Array<integer>
+        Workspace for storing iteration indices.
+
+    ld: Array<integer>
+        List of loop dimensions.
+
+    cd: Array<integer>
+        List of "core" dimensions.
+
+    o: Object
+        Function options which are passed through to `fcn`.
+
+    po: boolean
+        Boolean indicating whether to pass an options argument to a strided
+        array function.
+
+    cb: Function
+        Callback function.
+
+    ctx: any
+        Callback execution context.
+
     See Also
     --------
-
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/10d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/10d.js
new file mode 100644
index 000000000000..e99c00be9ae2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/10d.js
@@ -0,0 +1,354 @@
+/**
+* @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, max-params, max-statements */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 9 ]*100 ) + ( idx[ 10 ]*10 ) + idx[ 11 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ];
+* var cdims = [ 10, 11 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var dv7;
+	var dv8;
+	var dv9;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var S9;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var i9;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 9 ];
+		S1 = shape[ 8 ];
+		S2 = shape[ 7 ];
+		S3 = shape[ 6 ];
+		S4 = shape[ 5 ];
+		S5 = shape[ 4 ];
+		S6 = shape[ 3 ];
+		S7 = shape[ 2 ];
+		S8 = shape[ 1 ];
+		S9 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[9]
+		];
+		dv1 = [
+			stridesX[8] - ( S0*stridesX[9] )
+		];
+		dv2 = [
+			stridesX[7] - ( S1*stridesX[8] )
+		];
+		dv3 = [
+			stridesX[6] - ( S2*stridesX[7] )
+		];
+		dv4 = [
+			stridesX[5] - ( S3*stridesX[6] )
+		];
+		dv5 = [
+			stridesX[4] - ( S4*stridesX[5] )
+		];
+		dv6 = [
+			stridesX[3] - ( S5*stridesX[4] )
+		];
+		dv7 = [
+			stridesX[2] - ( S6*stridesX[3] )
+		];
+		dv8 = [
+			stridesX[1] - ( S7*stridesX[2] )
+		];
+		dv9 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S8*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[9] );
+			dv1.push( sv[8] - ( S0*sv[9] ) );
+			dv2.push( sv[7] - ( S1*sv[8] ) );
+			dv3.push( sv[6] - ( S2*sv[7] ) );
+			dv4.push( sv[5] - ( S3*sv[6] ) );
+			dv5.push( sv[4] - ( S4*sv[5] ) );
+			dv6.push( sv[3] - ( S5*sv[4] ) );
+			dv7.push( sv[2] - ( S6*sv[3] ) );
+			dv8.push( sv[1] - ( S7*sv[2] ) );
+			dv9.push( sv[0] - ( S8*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 3 ];
+		S4 = shape[ 4 ];
+		S5 = shape[ 5 ];
+		S6 = shape[ 6 ];
+		S7 = shape[ 7 ];
+		S8 = shape[ 8 ];
+		S9 = shape[ 9 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		dv3 = [
+			stridesX[3] - ( S2*stridesX[2] )
+		];
+		dv4 = [
+			stridesX[4] - ( S3*stridesX[3] )
+		];
+		dv5 = [
+			stridesX[5] - ( S4*stridesX[4] )
+		];
+		dv6 = [
+			stridesX[6] - ( S5*stridesX[5] )
+		];
+		dv7 = [
+			stridesX[7] - ( S6*stridesX[6] )
+		];
+		dv8 = [
+			stridesX[8] - ( S7*stridesX[7] )
+		];
+		dv9 = [                                   // offset increment for outermost loop
+			stridesX[9] - ( S8*stridesX[8] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+			dv3.push( sv[3] - ( S2*sv[2] ) );
+			dv4.push( sv[4] - ( S3*sv[3] ) );
+			dv5.push( sv[5] - ( S4*sv[4] ) );
+			dv6.push( sv[6] - ( S5*sv[5] ) );
+			dv7.push( sv[7] - ( S6*sv[6] ) );
+			dv8.push( sv[8] - ( S7*sv[7] ) );
+			dv9.push( sv[9] - ( S8*sv[8] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop 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++ ) {
+											setViewOffsets( views, iv );
+											v[ 0 ] = strategyX.input( views[ 0 ] );
+											f = wrap( ref, views[ 0 ], ibuf, ldims, [ i9, i8, i7, i6, i5, i4, i3, i2, i1, i0 ], cdims, clbk, thisArg );
+											if ( hasOpts ) {
+												fcn( v, opts, f );
+											} else {
+												fcn( v, f );
+											}
+											strategyX.output( views[ 0 ] );
+											incrementOffsets( iv, dv0 );
+										}
+										incrementOffsets( iv, dv1 );
+									}
+									incrementOffsets( iv, dv2 );
+								}
+								incrementOffsets( iv, dv3 );
+							}
+							incrementOffsets( iv, dv4 );
+						}
+						incrementOffsets( iv, dv5 );
+					}
+					incrementOffsets( iv, dv6 );
+				}
+				incrementOffsets( iv, dv7 );
+			}
+			incrementOffsets( iv, dv8 );
+		}
+		incrementOffsets( iv, dv9 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/4d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/4d.js
new file mode 100644
index 000000000000..8da54724780a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/4d.js
@@ -0,0 +1,258 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len, max-params */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 3 ]*100 ) + ( idx[ 4 ]*10 ) + idx[ 5 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2, 3 ];
+* var cdims = [ 4, 5 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 3 ], [ 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 3 ];
+		S1 = shape[ 2 ];
+		S2 = shape[ 1 ];
+		S3 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[3]
+		];
+		dv1 = [
+			stridesX[2] - ( S0*stridesX[3] )
+		];
+		dv2 = [
+			stridesX[1] - ( S1*stridesX[2] )
+		];
+		dv3 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S2*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[3] );
+			dv1.push( sv[2] - ( S0*sv[3] ) );
+			dv2.push( sv[1] - ( S1*sv[2] ) );
+			dv3.push( sv[0] - ( S2*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 3 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		dv3 = [                                   // offset increment for outermost loop
+			stridesX[3] - ( S2*stridesX[2] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+			dv3.push( sv[3] - ( S2*sv[2] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop 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++ ) {
+					setViewOffsets( views, iv );
+					v[ 0 ] = strategyX.input( views[ 0 ] );
+					f = wrap( ref, views[ 0 ], ibuf, ldims, [ i3, i2, i1, i0 ], cdims, clbk, thisArg );
+					if ( hasOpts ) {
+						fcn( v, opts, f );
+					} else {
+						fcn( v, f );
+					}
+					strategyX.output( views[ 0 ] );
+					incrementOffsets( iv, dv0 );
+				}
+				incrementOffsets( iv, dv1 );
+			}
+			incrementOffsets( iv, dv2 );
+		}
+		incrementOffsets( iv, dv3 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/5d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/5d.js
new file mode 100644
index 000000000000..2087385b745c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/5d.js
@@ -0,0 +1,274 @@
+/**
+* @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, max-params */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 4 ]*100 ) + ( idx[ 5 ]*10 ) + idx[ 6 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2, 3, 4 ];
+* var cdims = [ 5, 6 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 4 ];
+		S1 = shape[ 3 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 1 ];
+		S4 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[4]
+		];
+		dv1 = [
+			stridesX[3] - ( S0*stridesX[4] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[3] )
+		];
+		dv3 = [
+			stridesX[1] - ( S2*stridesX[2] )
+		];
+		dv4 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S3*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[4] );
+			dv1.push( sv[3] - ( S0*sv[4] ) );
+			dv2.push( sv[2] - ( S1*sv[3] ) );
+			dv3.push( sv[1] - ( S2*sv[2] ) );
+			dv4.push( sv[0] - ( S3*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 3 ];
+		S4 = shape[ 4 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		dv3 = [
+			stridesX[3] - ( S2*stridesX[2] )
+		];
+		dv4 = [                                   // offset increment for outermost loop
+			stridesX[4] - ( S3*stridesX[3] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+			dv3.push( sv[3] - ( S2*sv[2] ) );
+			dv4.push( sv[4] - ( S3*sv[3] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop 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++ ) {
+						setViewOffsets( views, iv );
+						v[ 0 ] = strategyX.input( views[ 0 ] );
+						f = wrap( ref, views[ 0 ], ibuf, ldims, [ i4, i3, i2, i1, i0 ], cdims, clbk, thisArg );
+						if ( hasOpts ) {
+							fcn( v, opts, f );
+						} else {
+							fcn( v, f );
+						}
+						strategyX.output( views[ 0 ] );
+						incrementOffsets( iv, dv0 );
+					}
+					incrementOffsets( iv, dv1 );
+				}
+				incrementOffsets( iv, dv2 );
+			}
+			incrementOffsets( iv, dv3 );
+		}
+		incrementOffsets( iv, dv4 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/6d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/6d.js
new file mode 100644
index 000000000000..d1a13622a5f5
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/6d.js
@@ -0,0 +1,290 @@
+/**
+* @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, max-params */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 5 ]*100 ) + ( idx[ 6 ]*10 ) + idx[ 7 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 1, 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2, 3, 4, 5 ];
+* var cdims = [ 6, 7 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 5 ];
+		S1 = shape[ 4 ];
+		S2 = shape[ 3 ];
+		S3 = shape[ 2 ];
+		S4 = shape[ 1 ];
+		S5 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[5]
+		];
+		dv1 = [
+			stridesX[4] - ( S0*stridesX[5] )
+		];
+		dv2 = [
+			stridesX[3] - ( S1*stridesX[4] )
+		];
+		dv3 = [
+			stridesX[2] - ( S2*stridesX[3] )
+		];
+		dv4 = [
+			stridesX[1] - ( S3*stridesX[2] )
+		];
+		dv5 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S4*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[5] );
+			dv1.push( sv[4] - ( S0*sv[5] ) );
+			dv2.push( sv[3] - ( S1*sv[4] ) );
+			dv3.push( sv[2] - ( S2*sv[3] ) );
+			dv4.push( sv[1] - ( S3*sv[2] ) );
+			dv5.push( sv[0] - ( S4*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 3 ];
+		S4 = shape[ 4 ];
+		S5 = shape[ 5 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		dv3 = [
+			stridesX[3] - ( S2*stridesX[2] )
+		];
+		dv4 = [
+			stridesX[4] - ( S3*stridesX[3] )
+		];
+		dv5 = [                                   // offset increment for outermost loop
+			stridesX[5] - ( S4*stridesX[4] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+			dv3.push( sv[3] - ( S2*sv[2] ) );
+			dv4.push( sv[4] - ( S3*sv[3] ) );
+			dv5.push( sv[5] - ( S4*sv[4] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop 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++ ) {
+							setViewOffsets( views, iv );
+							v[ 0 ] = strategyX.input( views[ 0 ] );
+							f = wrap( ref, views[ 0 ], ibuf, ldims, [ i5, i4, i3, i2, i1, i0 ], cdims, clbk, thisArg );
+							if ( hasOpts ) {
+								fcn( v, opts, f );
+							} else {
+								fcn( v, f );
+							}
+							strategyX.output( views[ 0 ] );
+							incrementOffsets( iv, dv0 );
+						}
+						incrementOffsets( iv, dv1 );
+					}
+					incrementOffsets( iv, dv2 );
+				}
+				incrementOffsets( iv, dv3 );
+			}
+			incrementOffsets( iv, dv4 );
+		}
+		incrementOffsets( iv, dv5 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/7d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/7d.js
new file mode 100644
index 000000000000..0e64af280d9a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/7d.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, max-params */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 6 ]*100 ) + ( idx[ 7 ]*10 ) + idx[ 8 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2, 3, 4, 5, 6 ];
+* var cdims = [ 7, 8 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 6 ];
+		S1 = shape[ 5 ];
+		S2 = shape[ 4 ];
+		S3 = shape[ 3 ];
+		S4 = shape[ 2 ];
+		S5 = shape[ 1 ];
+		S6 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[6]
+		];
+		dv1 = [
+			stridesX[5] - ( S0*stridesX[6] )
+		];
+		dv2 = [
+			stridesX[4] - ( S1*stridesX[5] )
+		];
+		dv3 = [
+			stridesX[3] - ( S2*stridesX[4] )
+		];
+		dv4 = [
+			stridesX[2] - ( S3*stridesX[3] )
+		];
+		dv5 = [
+			stridesX[1] - ( S4*stridesX[2] )
+		];
+		dv6 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S5*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[6] );
+			dv1.push( sv[5] - ( S0*sv[6] ) );
+			dv2.push( sv[4] - ( S1*sv[5] ) );
+			dv3.push( sv[3] - ( S2*sv[4] ) );
+			dv4.push( sv[2] - ( S3*sv[3] ) );
+			dv5.push( sv[1] - ( S4*sv[2] ) );
+			dv6.push( sv[0] - ( S5*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 3 ];
+		S4 = shape[ 4 ];
+		S5 = shape[ 5 ];
+		S6 = shape[ 6 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		dv3 = [
+			stridesX[3] - ( S2*stridesX[2] )
+		];
+		dv4 = [
+			stridesX[4] - ( S3*stridesX[3] )
+		];
+		dv5 = [
+			stridesX[5] - ( S4*stridesX[4] )
+		];
+		dv6 = [                                   // offset increment for outermost loop
+			stridesX[6] - ( S5*stridesX[5] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+			dv3.push( sv[3] - ( S2*sv[2] ) );
+			dv4.push( sv[4] - ( S3*sv[3] ) );
+			dv5.push( sv[5] - ( S4*sv[4] ) );
+			dv6.push( sv[6] - ( S5*sv[5] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop 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++ ) {
+								setViewOffsets( views, iv );
+								v[ 0 ] = strategyX.input( views[ 0 ] );
+								f = wrap( ref, views[ 0 ], ibuf, ldims, [ i6, i5, i4, i3, i2, i1, i0 ], cdims, clbk, thisArg );
+								if ( hasOpts ) {
+									fcn( v, opts, f );
+								} else {
+									fcn( v, f );
+								}
+								strategyX.output( views[ 0 ] );
+								incrementOffsets( iv, dv0 );
+							}
+							incrementOffsets( iv, dv1 );
+						}
+						incrementOffsets( iv, dv2 );
+					}
+					incrementOffsets( iv, dv3 );
+				}
+				incrementOffsets( iv, dv4 );
+			}
+			incrementOffsets( iv, dv5 );
+		}
+		incrementOffsets( iv, dv6 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/8d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/8d.js
new file mode 100644
index 000000000000..86ccd0cec5c1
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/8d.js
@@ -0,0 +1,322 @@
+/**
+* @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, max-params, max-statements */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 7 ]*100 ) + ( idx[ 8 ]*10 ) + idx[ 9 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2, 3, 4, 5, 6, 7 ];
+* var cdims = [ 8, 9 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var dv7;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 7 ];
+		S1 = shape[ 6 ];
+		S2 = shape[ 5 ];
+		S3 = shape[ 4 ];
+		S4 = shape[ 3 ];
+		S5 = shape[ 2 ];
+		S6 = shape[ 1 ];
+		S7 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[7]
+		];
+		dv1 = [
+			stridesX[6] - ( S0*stridesX[7] )
+		];
+		dv2 = [
+			stridesX[5] - ( S1*stridesX[6] )
+		];
+		dv3 = [
+			stridesX[4] - ( S2*stridesX[5] )
+		];
+		dv4 = [
+			stridesX[3] - ( S3*stridesX[4] )
+		];
+		dv5 = [
+			stridesX[2] - ( S4*stridesX[3] )
+		];
+		dv6 = [
+			stridesX[1] - ( S5*stridesX[2] )
+		];
+		dv7 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S6*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[7] );
+			dv1.push( sv[6] - ( S0*sv[7] ) );
+			dv2.push( sv[5] - ( S1*sv[6] ) );
+			dv3.push( sv[4] - ( S2*sv[5] ) );
+			dv4.push( sv[3] - ( S3*sv[4] ) );
+			dv5.push( sv[2] - ( S4*sv[3] ) );
+			dv6.push( sv[1] - ( S5*sv[2] ) );
+			dv7.push( sv[0] - ( S6*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 3 ];
+		S4 = shape[ 4 ];
+		S5 = shape[ 5 ];
+		S6 = shape[ 6 ];
+		S7 = shape[ 7 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		dv3 = [
+			stridesX[3] - ( S2*stridesX[2] )
+		];
+		dv4 = [
+			stridesX[4] - ( S3*stridesX[3] )
+		];
+		dv5 = [
+			stridesX[5] - ( S4*stridesX[4] )
+		];
+		dv6 = [
+			stridesX[6] - ( S5*stridesX[5] )
+		];
+		dv7 = [                                   // offset increment for outermost loop
+			stridesX[7] - ( S6*stridesX[6] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+			dv3.push( sv[3] - ( S2*sv[2] ) );
+			dv4.push( sv[4] - ( S3*sv[3] ) );
+			dv5.push( sv[5] - ( S4*sv[4] ) );
+			dv6.push( sv[6] - ( S5*sv[5] ) );
+			dv7.push( sv[7] - ( S6*sv[6] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop 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++ ) {
+									setViewOffsets( views, iv );
+									v[ 0 ] = strategyX.input( views[ 0 ] );
+									f = wrap( ref, views[ 0 ], ibuf, ldims, [ i7, i6, i5, i4, i3, i2, i1, i0 ], cdims, clbk, thisArg );
+									if ( hasOpts ) {
+										fcn( v, opts, f );
+									} else {
+										fcn( v, f );
+									}
+									strategyX.output( views[ 0 ] );
+									incrementOffsets( iv, dv0 );
+								}
+								incrementOffsets( iv, dv1 );
+							}
+							incrementOffsets( iv, dv2 );
+						}
+						incrementOffsets( iv, dv3 );
+					}
+					incrementOffsets( iv, dv4 );
+				}
+				incrementOffsets( iv, dv5 );
+			}
+			incrementOffsets( iv, dv6 );
+		}
+		incrementOffsets( iv, dv7 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/9d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/9d.js
new file mode 100644
index 000000000000..1a53c20603b2
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/9d.js
@@ -0,0 +1,338 @@
+/**
+* @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, max-params, max-statements */
+
+'use strict';
+
+// MODULES //
+
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var copyIndexed = require( '@stdlib/array/base/copy-indexed' );
+var incrementOffsets = require( '@stdlib/ndarray/base/kernels/utils/increment-offsets' );
+var setViewOffsets = require( '@stdlib/ndarray/base/set-descriptor-offsets' );
+var offsets = require( '@stdlib/ndarray/base/offsets' );
+var wrap = require( './callback_wrapper.js' );
+
+
+// MAIN //
+
+/**
+* Applies a one-dimensional strided array function to an input ndarray according to a callback function.
+*
+* @private
+* @param {Function} fcn - wrapper for a one-dimensional strided array function
+* @param {Array<Object>} arrays - ndarray descriptors
+* @param {ndarrayLike} ref - original input ndarray provided to a callback function
+* @param {Array<Object>} views - initialized ndarray descriptors representing subarray views
+* @param {Array<integer>} shape - loop dimensions
+* @param {Array<integer>} stridesX - loop dimension strides for the input ndarray
+* @param {Object} strategyX - strategy for marshaling data to and from an input ndarray view
+* @param {NonNegativeIntegerArray} ibuf - workspace for storing iteration indices
+* @param {NonNegativeIntegerArray} ldims - list of loop dimensions
+* @param {NonNegativeIntegerArray} cdims - list of "core" dimensions
+* @param {Options} opts - function options
+* @param {boolean} hasOpts - boolean indicating whether to pass an options argument to a strided array function
+* @param {Function} clbk - callback function
+* @param {*} thisArg - callback execution context
+* @returns {void}
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
+* var zeros = require( '@stdlib/array/base/zeros' );
+* var gfillBy = require( '@stdlib/blas/ext/base/ndarray/gfill-by' );
+* var strategy = require( '@stdlib/ndarray/base/kernels/generic/unary-strided1d/strategy' );
+*
+* function clbk( value, idx ) {
+*     return ( idx[ 8 ]*100 ) + ( idx[ 9 ]*10 ) + idx[ 10 ];
+* }
+*
+* // Create a data buffer:
+* var xbuf = new Float64Array( 12 );
+*
+* // Define the array shape:
+* var xsh = [ 1, 1, 1, 1, 1, 1, 1, 1, 3, 2, 2 ];
+*
+* // Define the array strides:
+* var sx = [ 12, 12, 12, 12, 12, 12, 12, 12, 4, 2, 1 ];
+*
+* // Define the index offset:
+* var ox = 0;
+*
+* // Create an input ndarray descriptor:
+* var x = {
+*     'dtype': 'float64',
+*     'data': xbuf,
+*     'shape': xsh,
+*     'strides': sx,
+*     'offset': ox,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the starting index (inclusive):
+* var start = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 0.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Create an ndarray descriptor for the ending index (exclusive):
+* var end = {
+*     'dtype': 'float64',
+*     'data': new Float64Array( [ 4.0 ] ),
+*     'shape': [ 1, 1, 1, 1, 1, 1, 1, 1, 3 ],
+*     'strides': [ 0, 0, 0, 0, 0, 0, 0, 0, 0 ],
+*     'offset': 0,
+*     'order': 'row-major'
+* };
+*
+* // Initialize ndarray descriptors representing subarray views:
+* var views = [
+*     {
+*         'dtype': x.dtype,
+*         'data': x.data,
+*         'shape': [ 2, 2 ],
+*         'strides': [ 2, 1 ],
+*         'offset': x.offset,
+*         'order': x.order
+*     },
+*     {
+*         'dtype': start.dtype,
+*         'data': start.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': start.offset,
+*         'order': start.order
+*     },
+*     {
+*         'dtype': end.dtype,
+*         'data': end.data,
+*         'shape': [],
+*         'strides': [ 0 ],
+*         'offset': end.offset,
+*         'order': end.order
+*     }
+* ];
+*
+* // Resolve an input strategy when iterating over subarray views:
+* var strategyX = strategy( views[ 0 ] );
+*
+* // Create a workspace array for storing iteration indices:
+* var ibuf = zeros( xsh.length );
+*
+* // Define the loop and core dimensions:
+* var ldims = [ 0, 1, 2, 3, 4, 5, 6, 7, 8 ];
+* var cdims = [ 9, 10 ];
+*
+* // Apply strided function:
+* kernel( gfillBy, [ x, start, end ], x, views, [ 1, 1, 1, 1, 1, 1, 1, 1, 3 ], [ 12, 12, 12, 12, 12, 12, 12, 12, 4 ], strategyX, ibuf, ldims, cdims, {}, false, clbk, {} );
+*
+* var arr = ndarray2array( x.data, x.shape, x.strides, x.offset, x.order );
+* // returns [ [ [ [ [ [ [ [ [ [ [ 0.0, 1.0 ], [ 10.0, 11.0 ] ], [ [ 100.0, 101.0 ], [ 110.0, 111.0 ] ], [ [ 200.0, 201.0 ], [ 210.0, 211.0 ] ] ] ] ] ] ] ] ] ] ]
+*/
+function kernel( fcn, arrays, ref, views, shape, stridesX, strategyX, ibuf, ldims, cdims, opts, hasOpts, clbk, thisArg ) {
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var dv7;
+	var dv8;
+	var S0;
+	var S1;
+	var S2;
+	var S3;
+	var S4;
+	var S5;
+	var S6;
+	var S7;
+	var S8;
+	var sv;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var v;
+	var i;
+	var f;
+
+	// Note on variable naming convention: S#, dv#, 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...
+	if ( isRowMajor( stridesX ) ) {
+		// For row-major ndarrays, the last dimensions have the fastest changing indices...
+		S0 = shape[ 8 ];
+		S1 = shape[ 7 ];
+		S2 = shape[ 6 ];
+		S3 = shape[ 5 ];
+		S4 = shape[ 4 ];
+		S5 = shape[ 3 ];
+		S6 = shape[ 2 ];
+		S7 = shape[ 1 ];
+		S8 = shape[ 0 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[8]
+		];
+		dv1 = [
+			stridesX[7] - ( S0*stridesX[8] )
+		];
+		dv2 = [
+			stridesX[6] - ( S1*stridesX[7] )
+		];
+		dv3 = [
+			stridesX[5] - ( S2*stridesX[6] )
+		];
+		dv4 = [
+			stridesX[4] - ( S3*stridesX[5] )
+		];
+		dv5 = [
+			stridesX[3] - ( S4*stridesX[4] )
+		];
+		dv6 = [
+			stridesX[2] - ( S5*stridesX[3] )
+		];
+		dv7 = [
+			stridesX[1] - ( S6*stridesX[2] )
+		];
+		dv8 = [                                   // offset increment for outermost loop
+			stridesX[0] - ( S7*stridesX[1] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[8] );
+			dv1.push( sv[7] - ( S0*sv[8] ) );
+			dv2.push( sv[6] - ( S1*sv[7] ) );
+			dv3.push( sv[5] - ( S2*sv[6] ) );
+			dv4.push( sv[4] - ( S3*sv[5] ) );
+			dv5.push( sv[3] - ( S4*sv[4] ) );
+			dv6.push( sv[2] - ( S5*sv[3] ) );
+			dv7.push( sv[1] - ( S6*sv[2] ) );
+			dv8.push( sv[0] - ( S7*sv[1] ) );
+		}
+	} else { // order === 'column-major'
+		// For column-major ndarrays, the first dimensions have the fastest changing indices...
+		S0 = shape[ 0 ];
+		S1 = shape[ 1 ];
+		S2 = shape[ 2 ];
+		S3 = shape[ 3 ];
+		S4 = shape[ 4 ];
+		S5 = shape[ 5 ];
+		S6 = shape[ 6 ];
+		S7 = shape[ 7 ];
+		S8 = shape[ 8 ];
+		dv0 = [                                   // offset increment for innermost loop
+			stridesX[0]
+		];
+		dv1 = [
+			stridesX[1] - ( S0*stridesX[0] )
+		];
+		dv2 = [
+			stridesX[2] - ( S1*stridesX[1] )
+		];
+		dv3 = [
+			stridesX[3] - ( S2*stridesX[2] )
+		];
+		dv4 = [
+			stridesX[4] - ( S3*stridesX[3] )
+		];
+		dv5 = [
+			stridesX[5] - ( S4*stridesX[4] )
+		];
+		dv6 = [
+			stridesX[6] - ( S5*stridesX[5] )
+		];
+		dv7 = [
+			stridesX[7] - ( S6*stridesX[6] )
+		];
+		dv8 = [                                   // offset increment for outermost loop
+			stridesX[8] - ( S7*stridesX[7] )
+		];
+		for ( i = 1; i < arrays.length; i++ ) {
+			sv = arrays[ i ].strides;
+			dv0.push( sv[0] );
+			dv1.push( sv[1] - ( S0*sv[0] ) );
+			dv2.push( sv[2] - ( S1*sv[1] ) );
+			dv3.push( sv[3] - ( S2*sv[2] ) );
+			dv4.push( sv[4] - ( S3*sv[3] ) );
+			dv5.push( sv[5] - ( S4*sv[4] ) );
+			dv6.push( sv[6] - ( S5*sv[5] ) );
+			dv7.push( sv[7] - ( S6*sv[6] ) );
+			dv8.push( sv[8] - ( S7*sv[7] ) );
+		}
+	}
+	// Resolve a list of pointers to the first indexed elements in the respective ndarrays:
+	iv = offsets( arrays );
+
+	// Shallow copy the list of views to an internal array so that we can update with reshaped views without impacting the original list of views:
+	v = copyIndexed( views );
+
+	// Iterate over the loop 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++ ) {
+										setViewOffsets( views, iv );
+										v[ 0 ] = strategyX.input( views[ 0 ] );
+										f = wrap( ref, views[ 0 ], ibuf, ldims, [ i8, i7, i6, i5, i4, i3, i2, i1, i0 ], cdims, clbk, thisArg );
+										if ( hasOpts ) {
+											fcn( v, opts, f );
+										} else {
+											fcn( v, f );
+										}
+										strategyX.output( views[ 0 ] );
+										incrementOffsets( iv, dv0 );
+									}
+									incrementOffsets( iv, dv1 );
+								}
+								incrementOffsets( iv, dv2 );
+							}
+							incrementOffsets( iv, dv3 );
+						}
+						incrementOffsets( iv, dv4 );
+					}
+					incrementOffsets( iv, dv5 );
+				}
+				incrementOffsets( iv, dv6 );
+			}
+			incrementOffsets( iv, dv7 );
+		}
+		incrementOffsets( iv, dv8 );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
index 28668abd1628..aaa216c79c00 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/index.js
@@ -132,6 +132,13 @@ var kernel0d = require( './0d.js' );
 var kernel1d = require( './1d.js' );
 var kernel2d = require( './2d.js' );
 var kernel3d = require( './3d.js' );
+var kernel4d = require( './4d.js' );
+var kernel5d = require( './5d.js' );
+var kernel6d = require( './6d.js' );
+var kernel7d = require( './7d.js' );
+var kernel8d = require( './8d.js' );
+var kernel9d = require( './9d.js' );
+var kernel10d = require( './10d.js' );
 var main = require( './main.js' );
 
 
@@ -141,6 +148,13 @@ setReadOnly( main, 'kernel0d', kernel0d );
 setReadOnly( main, 'kernel1d', kernel1d );
 setReadOnly( main, 'kernel2d', kernel2d );
 setReadOnly( main, 'kernel3d', kernel3d );
+setReadOnly( main, 'kernel4d', kernel4d );
+setReadOnly( main, 'kernel5d', kernel5d );
+setReadOnly( main, 'kernel6d', kernel6d );
+setReadOnly( main, 'kernel7d', kernel7d );
+setReadOnly( main, 'kernel8d', kernel8d );
+setReadOnly( main, 'kernel9d', kernel9d );
+setReadOnly( main, 'kernel10d', kernel10d );
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
index 0dcb56d27458..1d3a137e35b2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/unblocked/lib/main.js
@@ -24,6 +24,13 @@ var kernel0d = require( './0d.js' );
 var kernel1d = require( './1d.js' );
 var kernel2d = require( './2d.js' );
 var kernel3d = require( './3d.js' );
+var kernel4d = require( './4d.js' );
+var kernel5d = require( './5d.js' );
+var kernel6d = require( './6d.js' );
+var kernel7d = require( './7d.js' );
+var kernel8d = require( './8d.js' );
+var kernel9d = require( './9d.js' );
+var kernel10d = require( './10d.js' );
 
 
 // VARIABLES //
@@ -32,7 +39,14 @@ var KERNELS = [
 	kernel0d,
 	kernel1d,
 	kernel2d,
-	kernel3d
+	kernel3d,
+	kernel4d,
+	kernel5d,
+	kernel6d,
+	kernel7d,
+	kernel8d,
+	kernel9d,
+	kernel10d
 ];
 var MAX_DIMS = KERNELS.length - 1;