From 7503302eee01f14848843c27b5afd54a19517f67 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Tue, 29 Sep 2026 15:10:18 +0500
Subject: [PATCH 1/3] feat: add
 ndarray/base/kernels/generic/nullary-strided1d-by/blocked

---
 .../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 ++
 10 files changed, 1854 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/README.md
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/callback_wrapper.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/package.json
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/test/test.js

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..7cb907bbedb9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
@@ -0,0 +1,148 @@
+
+{{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

From 2b6cb63f9cb4057e8ec60af11737b164d6526f8b Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Tue, 29 Sep 2026 15:18:54 +0500
Subject: [PATCH 2/3] fix: repalce strategy

---
 .../generic/nullary-strided1d-by/blocked/README.md        | 8 ++++----
 .../nullary-strided1d-by/blocked/examples/index.js        | 2 +-
 .../generic/nullary-strided1d-by/blocked/lib/2d.js        | 2 +-
 .../generic/nullary-strided1d-by/blocked/lib/3d.js        | 2 +-
 .../generic/nullary-strided1d-by/blocked/lib/index.js     | 2 +-
 .../generic/nullary-strided1d-by/blocked/lib/main.js      | 2 +-
 6 files changed, 9 insertions(+), 9 deletions(-)

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
index b94588359475..290fdbd46356 100644
--- 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
@@ -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 ];
@@ -186,7 +186,7 @@ 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 ];
@@ -311,7 +311,7 @@ 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 ];
@@ -464,7 +464,7 @@ 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/blocked' );
 
 function clbk( value, idx ) {
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
index 1c93f3555ca7..dd301b39f5bf 100644
--- 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
@@ -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/blocked/lib/2d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/2d.js
index e9e05ffb1859..b6fa65946513 100644
--- 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
@@ -60,7 +60,7 @@ 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/blocked/lib/3d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/3d.js
index d6509e37e361..0abf606b6c46 100644
--- 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
@@ -60,7 +60,7 @@ 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/blocked/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
index dfdf4d55e482..9a737f43d174 100644
--- 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
@@ -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/blocked' );
 *
 * function clbk( value, idx ) {
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
index 074af133012f..90714b9c2fea 100644
--- 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
@@ -46,7 +46,7 @@ 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 3a1df6c1b595036f8f28874cf1e6f70db528e69c Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sat, 3 Oct 2026 21:14:32 +0500
Subject: [PATCH 3/3] feat: add kernels

---
 .../nullary-strided1d-by/blocked/README.md    | 875 ++++++++++++++++++
 .../blocked/docs/repl.txt                     | 357 +++++++
 .../nullary-strided1d-by/blocked/lib/10d.js   | 440 +++++++++
 .../nullary-strided1d-by/blocked/lib/4d.js    | 302 ++++++
 .../nullary-strided1d-by/blocked/lib/5d.js    | 325 +++++++
 .../nullary-strided1d-by/blocked/lib/6d.js    | 348 +++++++
 .../nullary-strided1d-by/blocked/lib/7d.js    | 371 ++++++++
 .../nullary-strided1d-by/blocked/lib/8d.js    | 394 ++++++++
 .../nullary-strided1d-by/blocked/lib/9d.js    | 417 +++++++++
 .../nullary-strided1d-by/blocked/lib/index.js |  14 +
 .../nullary-strided1d-by/blocked/lib/main.js  |  16 +-
 11 files changed, 3858 insertions(+), 1 deletion(-)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/10d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/4d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/5d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/6d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/7d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/8d.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/9d.js

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
index 290fdbd46356..00c63731b14f 100644
--- 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
@@ -421,6 +421,881 @@ 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 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/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 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/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 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/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 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/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 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/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 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/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 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/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/blocked/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/docs/repl.txt
index 7cb907bbedb9..d66f6b222245 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
@@ -143,6 +143,363 @@
     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 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 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 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 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 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 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 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 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 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 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 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 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 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 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/blocked/lib/10d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/10d.js
new file mode 100644
index 000000000000..cddb238b97d4
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/10d.js
@@ -0,0 +1,440 @@
+/**
+* @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/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 ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var dv7;
+	var dv8;
+	var dv9;
+	var ov1;
+	var ov2;
+	var ov3;
+	var ov4;
+	var ov5;
+	var ov6;
+	var ov7;
+	var ov8;
+	var ov9;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var s9;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var i9;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	var j8;
+	var j9;
+	var 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 );
+	ov3 = zeros( N );
+	ov4 = zeros( N );
+	ov5 = zeros( N );
+	ov6 = zeros( N );
+	ov7 = zeros( N );
+	ov8 = zeros( N );
+	ov9 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	dv3 = zeros( N );
+	dv4 = zeros( N );
+	dv5 = zeros( N );
+	dv6 = zeros( N );
+	dv7 = zeros( N );
+	dv8 = zeros( N );
+	dv9 = 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 ( j9 = sh[9]; j9 > 0; ) {
+		if ( j9 < bsize ) {
+			s9 = j9;
+			j9 = 0;
+		} else {
+			s9 = bsize;
+			j9 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov9[ k ] = ov[k] + ( j9*sv[k][9] );
+		}
+		for ( j8 = sh[8]; j8 > 0; ) {
+			if ( j8 < bsize ) {
+				s8 = j8;
+				j8 = 0;
+			} else {
+				s8 = bsize;
+				j8 -= bsize;
+			}
+			for ( k = 0; k < N; k++ ) {
+				ov8[ k ] = ov9[k] + ( j8*sv[k][8] );
+				dv9[ k ] = sv[k][9] - ( s8*sv[k][8] );
+			}
+			for ( j7 = sh[7]; j7 > 0; ) {
+				if ( j7 < bsize ) {
+					s7 = j7;
+					j7 = 0;
+				} else {
+					s7 = bsize;
+					j7 -= bsize;
+				}
+				for ( k = 0; k < N; k++ ) {
+					ov7[ k ] = ov8[k] + ( j7*sv[k][7] );
+					dv8[ k ] = sv[k][8] - ( s7*sv[k][7] );
+				}
+				for ( j6 = sh[6]; j6 > 0; ) {
+					if ( j6 < bsize ) {
+						s6 = j6;
+						j6 = 0;
+					} else {
+						s6 = bsize;
+						j6 -= bsize;
+					}
+					for ( k = 0; k < N; k++ ) {
+						ov6[ k ] = ov7[k] + ( j6*sv[k][6] );
+						dv7[ k ] = sv[k][7] - ( s6*sv[k][6] );
+					}
+					for ( j5 = sh[5]; j5 > 0; ) {
+						if ( j5 < bsize ) {
+							s5 = j5;
+							j5 = 0;
+						} else {
+							s5 = bsize;
+							j5 -= bsize;
+						}
+						for ( k = 0; k < N; k++ ) {
+							ov5[ k ] = ov6[k] + ( j5*sv[k][5] );
+							dv6[ k ] = sv[k][6] - ( s5*sv[k][5] );
+						}
+						for ( j4 = sh[4]; j4 > 0; ) {
+							if ( j4 < bsize ) {
+								s4 = j4;
+								j4 = 0;
+							} else {
+								s4 = bsize;
+								j4 -= bsize;
+							}
+							for ( k = 0; k < N; k++ ) {
+								ov4[ k ] = ov5[k] + ( j4*sv[k][4] );
+								dv5[ k ] = sv[k][5] - ( s4*sv[k][4] );
+							}
+							for ( j3 = sh[3]; j3 > 0; ) {
+								if ( j3 < bsize ) {
+									s3 = j3;
+									j3 = 0;
+								} else {
+									s3 = bsize;
+									j3 -= bsize;
+								}
+								for ( k = 0; k < N; k++ ) {
+									ov3[ k ] = ov4[k] + ( j3*sv[k][3] );
+									dv4[ k ] = sv[k][4] - ( s3*sv[k][3] );
+								}
+								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 ] = ov3[k] + ( j2*sv[k][2] );
+										dv3[ k ] = sv[k][3] - ( s2*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 ( 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, [ j9+i9, j8+i8, j7+i7, j6+i6, j5+i5, j4+i4, j3+i3, 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 );
+																		}
+																		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/blocked/lib/4d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/4d.js
new file mode 100644
index 000000000000..46c82cc6f85d
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/4d.js
@@ -0,0 +1,302 @@
+/**
+* @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/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 bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var ov1;
+	var ov2;
+	var ov3;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	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 );
+	ov3 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	dv3 = 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 ( j3 = sh[3]; j3 > 0; ) {
+		if ( j3 < bsize ) {
+			s3 = j3;
+			j3 = 0;
+		} else {
+			s3 = bsize;
+			j3 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov3[ k ] = ov[k] + ( j3*sv[k][3] );
+		}
+		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 ] = ov3[k] + ( j2*sv[k][2] );
+				dv3[ k ] = sv[k][3] - ( s2*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 ( 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, [ j3+i3, 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 );
+						}
+						incrementOffsets( iv, dv3 );
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/5d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/5d.js
new file mode 100644
index 000000000000..c50fe0c6801a
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/5d.js
@@ -0,0 +1,325 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-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/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 bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var ov1;
+	var ov2;
+	var ov3;
+	var ov4;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	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 );
+	ov3 = zeros( N );
+	ov4 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	dv3 = zeros( N );
+	dv4 = 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 ( j4 = sh[4]; j4 > 0; ) {
+		if ( j4 < bsize ) {
+			s4 = j4;
+			j4 = 0;
+		} else {
+			s4 = bsize;
+			j4 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov4[ k ] = ov[k] + ( j4*sv[k][4] );
+		}
+		for ( j3 = sh[3]; j3 > 0; ) {
+			if ( j3 < bsize ) {
+				s3 = j3;
+				j3 = 0;
+			} else {
+				s3 = bsize;
+				j3 -= bsize;
+			}
+			for ( k = 0; k < N; k++ ) {
+				ov3[ k ] = ov4[k] + ( j3*sv[k][3] );
+				dv4[ k ] = sv[k][4] - ( s3*sv[k][3] );
+			}
+			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 ] = ov3[k] + ( j2*sv[k][2] );
+					dv3[ k ] = sv[k][3] - ( s2*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 ( 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, [ j4+i4, j3+i3, 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 );
+								}
+								incrementOffsets( iv, dv3 );
+							}
+							incrementOffsets( iv, dv4 );
+						}
+					}
+				}
+			}
+		}
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = kernel;
diff --git a/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/6d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/6d.js
new file mode 100644
index 000000000000..9bb8e129202c
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/6d.js
@@ -0,0 +1,348 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-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/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 bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var ov1;
+	var ov2;
+	var ov3;
+	var ov4;
+	var ov5;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var 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 );
+	ov3 = zeros( N );
+	ov4 = zeros( N );
+	ov5 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	dv3 = zeros( N );
+	dv4 = zeros( N );
+	dv5 = 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 ( j5 = sh[5]; j5 > 0; ) {
+		if ( j5 < bsize ) {
+			s5 = j5;
+			j5 = 0;
+		} else {
+			s5 = bsize;
+			j5 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov5[ k ] = ov[k] + ( j5*sv[k][5] );
+		}
+		for ( j4 = sh[4]; j4 > 0; ) {
+			if ( j4 < bsize ) {
+				s4 = j4;
+				j4 = 0;
+			} else {
+				s4 = bsize;
+				j4 -= bsize;
+			}
+			for ( k = 0; k < N; k++ ) {
+				ov4[ k ] = ov5[k] + ( j4*sv[k][4] );
+				dv5[ k ] = sv[k][5] - ( s4*sv[k][4] );
+			}
+			for ( j3 = sh[3]; j3 > 0; ) {
+				if ( j3 < bsize ) {
+					s3 = j3;
+					j3 = 0;
+				} else {
+					s3 = bsize;
+					j3 -= bsize;
+				}
+				for ( k = 0; k < N; k++ ) {
+					ov3[ k ] = ov4[k] + ( j3*sv[k][3] );
+					dv4[ k ] = sv[k][4] - ( s3*sv[k][3] );
+				}
+				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 ] = ov3[k] + ( j2*sv[k][2] );
+						dv3[ k ] = sv[k][3] - ( s2*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 ( 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, [ j5+i5, j4+i4, j3+i3, 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 );
+										}
+										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/blocked/lib/7d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/7d.js
new file mode 100644
index 000000000000..797fa1e122f7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/7d.js
@@ -0,0 +1,371 @@
+/**
+* @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/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 bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var ov1;
+	var ov2;
+	var ov3;
+	var ov4;
+	var ov5;
+	var ov6;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var 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 );
+	ov3 = zeros( N );
+	ov4 = zeros( N );
+	ov5 = zeros( N );
+	ov6 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	dv3 = zeros( N );
+	dv4 = zeros( N );
+	dv5 = zeros( N );
+	dv6 = 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 ( j6 = sh[6]; j6 > 0; ) {
+		if ( j6 < bsize ) {
+			s6 = j6;
+			j6 = 0;
+		} else {
+			s6 = bsize;
+			j6 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov6[ k ] = ov[k] + ( j6*sv[k][6] );
+		}
+		for ( j5 = sh[5]; j5 > 0; ) {
+			if ( j5 < bsize ) {
+				s5 = j5;
+				j5 = 0;
+			} else {
+				s5 = bsize;
+				j5 -= bsize;
+			}
+			for ( k = 0; k < N; k++ ) {
+				ov5[ k ] = ov6[k] + ( j5*sv[k][5] );
+				dv6[ k ] = sv[k][6] - ( s5*sv[k][5] );
+			}
+			for ( j4 = sh[4]; j4 > 0; ) {
+				if ( j4 < bsize ) {
+					s4 = j4;
+					j4 = 0;
+				} else {
+					s4 = bsize;
+					j4 -= bsize;
+				}
+				for ( k = 0; k < N; k++ ) {
+					ov4[ k ] = ov5[k] + ( j4*sv[k][4] );
+					dv5[ k ] = sv[k][5] - ( s4*sv[k][4] );
+				}
+				for ( j3 = sh[3]; j3 > 0; ) {
+					if ( j3 < bsize ) {
+						s3 = j3;
+						j3 = 0;
+					} else {
+						s3 = bsize;
+						j3 -= bsize;
+					}
+					for ( k = 0; k < N; k++ ) {
+						ov3[ k ] = ov4[k] + ( j3*sv[k][3] );
+						dv4[ k ] = sv[k][4] - ( s3*sv[k][3] );
+					}
+					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 ] = ov3[k] + ( j2*sv[k][2] );
+							dv3[ k ] = sv[k][3] - ( s2*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 ( 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, [ j6+i6, j5+i5, j4+i4, j3+i3, 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 );
+												}
+												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/blocked/lib/8d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/8d.js
new file mode 100644
index 000000000000..a8765c83dbe9
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/8d.js
@@ -0,0 +1,394 @@
+/**
+* @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/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 ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var dv7;
+	var ov1;
+	var ov2;
+	var ov3;
+	var ov4;
+	var ov5;
+	var ov6;
+	var ov7;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	var 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 );
+	ov3 = zeros( N );
+	ov4 = zeros( N );
+	ov5 = zeros( N );
+	ov6 = zeros( N );
+	ov7 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	dv3 = zeros( N );
+	dv4 = zeros( N );
+	dv5 = zeros( N );
+	dv6 = zeros( N );
+	dv7 = 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 ( j7 = sh[7]; j7 > 0; ) {
+		if ( j7 < bsize ) {
+			s7 = j7;
+			j7 = 0;
+		} else {
+			s7 = bsize;
+			j7 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov7[ k ] = ov[k] + ( j7*sv[k][7] );
+		}
+		for ( j6 = sh[6]; j6 > 0; ) {
+			if ( j6 < bsize ) {
+				s6 = j6;
+				j6 = 0;
+			} else {
+				s6 = bsize;
+				j6 -= bsize;
+			}
+			for ( k = 0; k < N; k++ ) {
+				ov6[ k ] = ov7[k] + ( j6*sv[k][6] );
+				dv7[ k ] = sv[k][7] - ( s6*sv[k][6] );
+			}
+			for ( j5 = sh[5]; j5 > 0; ) {
+				if ( j5 < bsize ) {
+					s5 = j5;
+					j5 = 0;
+				} else {
+					s5 = bsize;
+					j5 -= bsize;
+				}
+				for ( k = 0; k < N; k++ ) {
+					ov5[ k ] = ov6[k] + ( j5*sv[k][5] );
+					dv6[ k ] = sv[k][6] - ( s5*sv[k][5] );
+				}
+				for ( j4 = sh[4]; j4 > 0; ) {
+					if ( j4 < bsize ) {
+						s4 = j4;
+						j4 = 0;
+					} else {
+						s4 = bsize;
+						j4 -= bsize;
+					}
+					for ( k = 0; k < N; k++ ) {
+						ov4[ k ] = ov5[k] + ( j4*sv[k][4] );
+						dv5[ k ] = sv[k][5] - ( s4*sv[k][4] );
+					}
+					for ( j3 = sh[3]; j3 > 0; ) {
+						if ( j3 < bsize ) {
+							s3 = j3;
+							j3 = 0;
+						} else {
+							s3 = bsize;
+							j3 -= bsize;
+						}
+						for ( k = 0; k < N; k++ ) {
+							ov3[ k ] = ov4[k] + ( j3*sv[k][3] );
+							dv4[ k ] = sv[k][4] - ( s3*sv[k][3] );
+						}
+						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 ] = ov3[k] + ( j2*sv[k][2] );
+								dv3[ k ] = sv[k][3] - ( s2*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 ( 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, [ j7+i7, j6+i6, j5+i5, j4+i4, j3+i3, 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 );
+														}
+														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/blocked/lib/9d.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/9d.js
new file mode 100644
index 000000000000..b8bf9c47b7db
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/9d.js
@@ -0,0 +1,417 @@
+/**
+* @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/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 ) { // eslint-disable-line max-statements, max-lines-per-function
+	var bsize;
+	var dv0;
+	var dv1;
+	var dv2;
+	var dv3;
+	var dv4;
+	var dv5;
+	var dv6;
+	var dv7;
+	var dv8;
+	var ov1;
+	var ov2;
+	var ov3;
+	var ov4;
+	var ov5;
+	var ov6;
+	var ov7;
+	var ov8;
+	var sh;
+	var s0;
+	var s1;
+	var s2;
+	var s3;
+	var s4;
+	var s5;
+	var s6;
+	var s7;
+	var s8;
+	var sv;
+	var ov;
+	var iv;
+	var i0;
+	var i1;
+	var i2;
+	var i3;
+	var i4;
+	var i5;
+	var i6;
+	var i7;
+	var i8;
+	var j0;
+	var j1;
+	var j2;
+	var j3;
+	var j4;
+	var j5;
+	var j6;
+	var j7;
+	var j8;
+	var 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 );
+	ov3 = zeros( N );
+	ov4 = zeros( N );
+	ov5 = zeros( N );
+	ov6 = zeros( N );
+	ov7 = zeros( N );
+	ov8 = zeros( N );
+	dv1 = zeros( N );
+	dv2 = zeros( N );
+	dv3 = zeros( N );
+	dv4 = zeros( N );
+	dv5 = zeros( N );
+	dv6 = zeros( N );
+	dv7 = zeros( N );
+	dv8 = 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 ( j8 = sh[8]; j8 > 0; ) {
+		if ( j8 < bsize ) {
+			s8 = j8;
+			j8 = 0;
+		} else {
+			s8 = bsize;
+			j8 -= bsize;
+		}
+		for ( k = 0; k < N; k++ ) {
+			ov8[ k ] = ov[k] + ( j8*sv[k][8] );
+		}
+		for ( j7 = sh[7]; j7 > 0; ) {
+			if ( j7 < bsize ) {
+				s7 = j7;
+				j7 = 0;
+			} else {
+				s7 = bsize;
+				j7 -= bsize;
+			}
+			for ( k = 0; k < N; k++ ) {
+				ov7[ k ] = ov8[k] + ( j7*sv[k][7] );
+				dv8[ k ] = sv[k][8] - ( s7*sv[k][7] );
+			}
+			for ( j6 = sh[6]; j6 > 0; ) {
+				if ( j6 < bsize ) {
+					s6 = j6;
+					j6 = 0;
+				} else {
+					s6 = bsize;
+					j6 -= bsize;
+				}
+				for ( k = 0; k < N; k++ ) {
+					ov6[ k ] = ov7[k] + ( j6*sv[k][6] );
+					dv7[ k ] = sv[k][7] - ( s6*sv[k][6] );
+				}
+				for ( j5 = sh[5]; j5 > 0; ) {
+					if ( j5 < bsize ) {
+						s5 = j5;
+						j5 = 0;
+					} else {
+						s5 = bsize;
+						j5 -= bsize;
+					}
+					for ( k = 0; k < N; k++ ) {
+						ov5[ k ] = ov6[k] + ( j5*sv[k][5] );
+						dv6[ k ] = sv[k][6] - ( s5*sv[k][5] );
+					}
+					for ( j4 = sh[4]; j4 > 0; ) {
+						if ( j4 < bsize ) {
+							s4 = j4;
+							j4 = 0;
+						} else {
+							s4 = bsize;
+							j4 -= bsize;
+						}
+						for ( k = 0; k < N; k++ ) {
+							ov4[ k ] = ov5[k] + ( j4*sv[k][4] );
+							dv5[ k ] = sv[k][5] - ( s4*sv[k][4] );
+						}
+						for ( j3 = sh[3]; j3 > 0; ) {
+							if ( j3 < bsize ) {
+								s3 = j3;
+								j3 = 0;
+							} else {
+								s3 = bsize;
+								j3 -= bsize;
+							}
+							for ( k = 0; k < N; k++ ) {
+								ov3[ k ] = ov4[k] + ( j3*sv[k][3] );
+								dv4[ k ] = sv[k][4] - ( s3*sv[k][3] );
+							}
+							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 ] = ov3[k] + ( j2*sv[k][2] );
+									dv3[ k ] = sv[k][3] - ( s2*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 ( 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, [ j8+i8, j7+i7, j6+i6, j5+i5, j4+i4, j3+i3, 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 );
+																}
+																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/blocked/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/index.js
index 9a737f43d174..e6eb199aa5c1 100644
--- 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
@@ -130,6 +130,13 @@
 var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
 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' );
 
 
@@ -137,6 +144,13 @@ var main = require( './main.js' );
 
 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/blocked/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/kernels/generic/nullary-strided1d-by/blocked/lib/main.js
index 90714b9c2fea..a08f4bfb3982 100644
--- 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
@@ -22,13 +22,27 @@
 
 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 //
 
 var KERNELS = [
 	kernel2d,
-	kernel3d
+	kernel3d,
+	kernel4d,
+	kernel5d,
+	kernel6d,
+	kernel7d,
+	kernel8d,
+	kernel9d,
+	kernel10d
 ];
 var MAX_DIMS = KERNELS.length + 1;