From 5529af973da62b1108812db69e1482a1f31870c9 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Mon, 4 May 2026 00:53:05 +0500
Subject: [PATCH 1/9] feat: add ndarray/base/fill-diagonal

---
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description: Results of running static analysis checks when committing changes.
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---
---
 .../ndarray/base/fill-diagonal/README.md      | 152 ++++++
 .../base/fill-diagonal/benchmark/benchmark.js | 272 ++++++++++
 .../ndarray/base/fill-diagonal/docs/repl.txt  |  53 ++
 .../base/fill-diagonal/docs/types/index.d.ts  |  59 +++
 .../base/fill-diagonal/docs/types/test.ts     |  82 +++
 .../base/fill-diagonal/examples/index.js      |  38 ++
 .../ndarray/base/fill-diagonal/lib/index.js   |  47 ++
 .../ndarray/base/fill-diagonal/lib/main.js    |  70 +++
 .../ndarray/base/fill-diagonal/package.json   |  64 +++
 .../ndarray/base/fill-diagonal/test/test.js   | 496 ++++++++++++++++++
 10 files changed, 1333 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/package.json
 create mode 100644 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/test/test.js

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
new file mode 100644
index 000000000000..d2df1a3c4d70
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
@@ -0,0 +1,152 @@
+<!--
+
+@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.
+
+-->
+
+# fillDiagonal
+
+> Fill a specified diagonal of a matrix (or stack of matrices) with a scalar value.
+
+<section class="intro">
+
+For an `M`-by-`N` matrix `A`, the `k`-th diagonal is defined as
+
+<!-- <equation class="equation" label="eq:fill_diagonal_definition" align="center" raw="D_k = \{\, A_{i,j} : j - i = k \,\}" alt="Definition of the k-th diagonal of a matrix."> -->
+
+```math
+D_k = \{\, A_{i,j} : j - i = k \,\}
+```
+
+<!-- <div class="equation" align="center" data-raw-text="D_k = \{\, A_{i,j} : j - i = k \,\}" data-equation="eq:fill_diagonal_definition">
+    <img src="" alt="Definition of the k-th diagonal of a matrix.">
+    <br>
+</div> -->
+
+<!-- </equation> -->
+
+where `k = 0` corresponds to the main diagonal, `k > 0` corresponds to the super-diagonals (above the main diagonal), and `k < 0` corresponds to the sub-diagonals (below the main diagonal).
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var fillDiagonal = require( '@stdlib/ndarray/base/fill-diagonal' );
+```
+
+#### fillDiagonal( x, value, dims, k )
+
+Fills a specified diagonal of a matrix (or stack of matrices) with a scalar value.
+
+```javascript
+var zeros = require( '@stdlib/ndarray/base/zeros' );
+
+var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+// returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
+
+var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+// returns <ndarray>[ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ]
+
+var bool = ( out === x );
+// returns true
+```
+
+The function accepts the following arguments:
+
+-   **x**: input ndarray.
+-   **value**: scalar value.
+-   **dims**: dimension indices defining the plane in which to fill the diagonal.
+-   **k**: diagonal offset.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The order of the dimension indices contained in `dims` matters. The first element specifies the row-like dimension. The second element specifies the column-like dimension.
+-   Each provided dimension index must reside on the interval `[-ndims, ndims-1]`.
+-   The diagonal offset `k` is interpreted as `column - row`. Accordingly, when `k = 0`, the function fills the main diagonal; when `k > 0`, the function fills the diagonal above the main diagonal; and when `k < 0`, the function fills the diagonal below the main diagonal.
+-   If `value` is a number and `x` has a complex [data type][@stdlib/ndarray/dtypes], the function fills an input ndarray with a complex number whose real component equals the provided scalar `value` and whose imaginary component is zero.
+-   A `value` must be able to safely cast to the input ndarray [data type][@stdlib/ndarray/dtypes]. Scalar values having floating-point data types (both real and complex) are allowed to downcast to a lower precision data type of the same kind (e.g., a scalar double-precision floating-point number can be used to fill a `'float32'` input ndarray).
+-   The function **mutates** the input ndarray in-place.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var zeros = require( '@stdlib/ndarray/base/zeros' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var fillDiagonal = require( '@stdlib/ndarray/base/fill-diagonal' );
+
+// Create a stack of zero matrices:
+var x = zeros( 'float64', [ 2, 3, 3 ], 'row-major' );
+
+// Fill the main diagonals:
+fillDiagonal( x, 1.0, [ 1, 2 ], 0 );
+console.log( ndarray2array( x ) );
+
+// Fill the super-diagonals:
+fillDiagonal( x, 2.0, [ 1, 2 ], 1 );
+console.log( ndarray2array( x ) );
+
+// Fill the sub-diagonals:
+fillDiagonal( x, 3.0, [ 1, 2 ], -1 );
+console.log( ndarray2array( x ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js
new file mode 100644
index 000000000000..f4ce5ba7d243
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js
@@ -0,0 +1,272 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
+var baseEmpty = require( '@stdlib/ndarray/base/empty' );
+var empty = require( '@stdlib/ndarray/empty' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var fillDiagonal = require( './../lib' );
+
+
+// MAIN //
+
+bench( format( '%s::ndims=2,ctor=base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	values = [
+		baseEmpty( 'float64', [ 2, 2 ], 'row-major' ),
+		baseEmpty( 'float32', [ 2, 2 ], 'row-major' ),
+		baseEmpty( 'int32', [ 2, 2 ], 'row-major' ),
+		baseEmpty( 'complex128', [ 2, 2 ], 'row-major' ),
+		baseEmpty( 'generic', [ 2, 2 ], 'row-major' )
+	];
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 0, 1 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::ndims=2,ctor=non-base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	values = [
+		empty( [ 2, 2 ], { 'dtype': 'float64' } ),
+		empty( [ 2, 2 ], { 'dtype': 'float32' } ),
+		empty( [ 2, 2 ], { 'dtype': 'int32' } ),
+		empty( [ 2, 2 ], { 'dtype': 'complex128' } ),
+		empty( [ 2, 2 ], { 'dtype': 'generic' } )
+	];
+
+	/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 0, 1 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::ndims=3,ctor=base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	values = [
+		baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' )
+	];
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 1, 2 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::ndims=3,ctor=non-base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	values = [
+		empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ),
+		empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ),
+		empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
+		empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ),
+		empty( [ 2, 2, 2 ], { 'dtype': 'generic' } )
+	];
+
+	/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 1, 2 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::ndims=4,ctor=base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	values = [
+		baseEmpty( 'float64', [ 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'float32', [ 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'int32', [ 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'complex128', [ 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'generic', [ 2, 2, 2, 2 ], 'row-major' )
+	];
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 2, 3 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::ndims=4,ctor=non-base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	values = [
+		empty( [ 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
+		empty( [ 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
+		empty( [ 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
+		empty( [ 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
+		empty( [ 2, 2, 2, 2 ], { 'dtype': 'generic' } )
+	];
+
+	/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 2, 3 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::ndims=5,ctor=base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	values = [
+		baseEmpty( 'float64', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'float32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'int32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'complex128', [ 2, 2, 2, 2, 2 ], 'row-major' ),
+		baseEmpty( 'generic', [ 2, 2, 2, 2, 2 ], 'row-major' )
+	];
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 3, 4 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s::ndims=5,ctor=non-base', pkg ), function benchmark( b ) {
+	var values;
+	var out;
+	var i;
+
+	/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	values = [
+		empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
+		empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
+		empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
+		empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
+		empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'generic' } )
+	];
+
+	/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		out = fillDiagonal( values[ i%values.length ], 1.0, [ 3, 4 ], 0 );
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+	}
+	b.toc();
+	if ( !isndarrayLike( out ) ) {
+		b.fail( 'should return an ndarray' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
new file mode 100644
index 000000000000..d900632755a0
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
@@ -0,0 +1,53 @@
+
+{{alias}}( x, value, dims, k )
+    Fills a specified diagonal of a matrix (or stack of matrices) with a
+    scalar value.
+
+    The order of the dimension indices contained in `dims` matters. The first
+    element specifies the row-like dimension. The second element specifies
+    the column-like dimension.
+
+    Each provided dimension index must reside on the interval [-ndims, ndims-1].
+
+    The diagonal offset `k` is interpreted as `column - row`. Accordingly,
+    when `k = 0`, the function fills the main diagonal; when `k > 0`, the
+    function fills the diagonal above the main diagonal; and when `k < 0`,
+    the function fills the diagonal below the main diagonal.
+
+    The function mutates the input ndarray in-place.
+
+    Parameters
+    ----------
+    x: ndarray
+        Input array.
+
+    value: any
+        Scalar value. Must be able to safely cast to the input ndarray data
+        type. Scalar values having floating-point data types (both real and
+        complex) are allowed to downcast to a lower precision data type of the
+        same kind (e.g., a scalar double-precision floating-point number can be
+        used to fill a 'float32' input ndarray).
+
+    dims: ArrayLikeObject<integer>
+        Dimension indices defining the plane in which to fill the diagonal.
+
+    k: integer
+        Diagonal offset.
+
+    Returns
+    -------
+    out: ndarray
+        Input array.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/base/zeros}}( 'float64', [ 3, 3 ], 'row-major' )
+    <ndarray>
+    > var out = {{alias}}( x, 1.0, [ 0, 1 ], 0 )
+    <ndarray>
+    > var bool = ( out === x )
+    true
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts
new file mode 100644
index 000000000000..1c4e42d059d7
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts
@@ -0,0 +1,59 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { Collection } from '@stdlib/types/array';
+import { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Fills a specified diagonal of a matrix (or stack of matrices) with a scalar value.
+*
+* ## Notes
+*
+* -   The order of the dimension indices contained in `dims` matters. The first element specifies the row-like dimension. The second element specifies the column-like dimension.
+* -   Each provided dimension index must reside on the interval `[-ndims, ndims-1]`.
+* -   The diagonal offset `k` is interpreted as `column - row`. Accordingly, when `k = 0`, the function fills the main diagonal; when `k > 0`, the function fills the diagonal above the main diagonal; and when `k < 0`, the function fills the diagonal below the main diagonal.
+* -   The function mutates the input ndarray in-place.
+*
+* @param x - input array
+* @param value - scalar value
+* @param dims - dimension indices defining the plane in which to fill the diagonal
+* @param k - diagonal offset
+* @returns input ndarray
+*
+* @example
+* var zeros = require( '@stdlib/ndarray/base/zeros' );
+*
+* var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+* // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
+*
+* var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+* // returns <ndarray>[ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ]
+*
+* var bool = ( out === x );
+* // returns true
+*/
+declare function fillDiagonal<T = unknown, U extends typedndarray<T> = typedndarray<T>>( x: U, value: T, dims: Collection<number>, k: number ): U;
+
+
+// EXPORTS //
+
+export = fillDiagonal;
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/test.ts b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/test.ts
new file mode 100644
index 000000000000..82c5d4eaf271
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/test.ts
@@ -0,0 +1,82 @@
+/*
+* @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 space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import fillDiagonal = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	fillDiagonal( x, 1.0, [ 0, 1 ], 0 ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is not provided a first argument which is an ndarray...
+{
+	fillDiagonal( '5', 1.0, [ 0, 1 ], 0 ); // $ExpectError
+	fillDiagonal( 5, 1.0, [ 0, 1 ], 0 ); // $ExpectError
+	fillDiagonal( true, 1.0, [ 0, 1 ], 0 ); // $ExpectError
+	fillDiagonal( false, 1.0, [ 0, 1 ], 0 ); // $ExpectError
+	fillDiagonal( null, 1.0, [ 0, 1 ], 0 ); // $ExpectError
+	fillDiagonal( {}, 1.0, [ 0, 1 ], 0 ); // $ExpectError
+	fillDiagonal( [ '5' ], 1.0, [ 0, 1 ], 0 ); // $ExpectError
+	fillDiagonal( ( x: number ): number => x, 1.0, [ 0, 1 ], 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is not provided a third argument which is an array-like object containing numbers...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	fillDiagonal( x, 1.0, '5', 0 ); // $ExpectError
+	fillDiagonal( x, 1.0, 5, 0 ); // $ExpectError
+	fillDiagonal( x, 1.0, true, 0 ); // $ExpectError
+	fillDiagonal( x, 1.0, false, 0 ); // $ExpectError
+	fillDiagonal( x, 1.0, null, 0 ); // $ExpectError
+	fillDiagonal( x, 1.0, {}, 0 ); // $ExpectError
+	fillDiagonal( x, 1.0, [ '5' ], 0 ); // $ExpectError
+	fillDiagonal( x, 1.0, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is not provided a fourth argument which is a number...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	fillDiagonal( x, 1.0, [ 0, 1 ], '5' ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ], true ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ], false ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ], null ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ], {} ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ], [] ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ], ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 2, 2 ] );
+
+	fillDiagonal(); // $ExpectError
+	fillDiagonal( x ); // $ExpectError
+	fillDiagonal( x, 1.0 ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ] ); // $ExpectError
+	fillDiagonal( x, 1.0, [ 0, 1 ], 0, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
new file mode 100644
index 000000000000..277023009e54
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var zeros = require( '@stdlib/ndarray/base/zeros' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var fillDiagonal = require( './../lib' );
+
+// Create a stack of zero matrices:
+var x = zeros( 'float64', [ 2, 3, 3 ], 'row-major' );
+
+// Fill the main diagonals:
+fillDiagonal( x, 1.0, [ 1, 2 ], 0 );
+console.log( ndarray2array( x ) );
+
+// Fill the super-diagonals:
+fillDiagonal( x, 2.0, [ 1, 2 ], 1 );
+console.log( ndarray2array( x ) );
+
+// Fill the sub-diagonals:
+fillDiagonal( x, 3.0, [ 1, 2 ], -1 );
+console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js
new file mode 100644
index 000000000000..662161495a57
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js
@@ -0,0 +1,47 @@
+/**
+* @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';
+
+/**
+* Fill a specified diagonal of a matrix (or stack of matrices) with a scalar value.
+*
+* @module @stdlib/ndarray/base/fill-diagonal
+*
+* @example
+* var zeros = require( '@stdlib/ndarray/base/zeros' );
+* var fillDiagonal = require( '@stdlib/ndarray/base/fill-diagonal' );
+*
+* var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+* // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
+*
+* var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+* // returns <ndarray>[ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ]
+*
+* var bool = ( out === x );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js
new file mode 100644
index 000000000000..6ec55778378b
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js
@@ -0,0 +1,70 @@
+/**
+* @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 diagonal = require( '@stdlib/ndarray/base/diagonal' );
+var fill = require( '@stdlib/ndarray/base/fill' );
+
+
+// MAIN //
+
+/**
+* Fills a specified diagonal of a matrix (or stack of matrices) with a scalar value.
+*
+* ## Notes
+*
+* -   The order of the dimension indices contained in `dims` matters. The first element specifies the row-like dimension. The second element specifies the column-like dimension.
+* -   Each provided dimension index must reside on the interval `[-ndims, ndims-1]`.
+* -   The diagonal offset `k` is interpreted as `column - row`. Accordingly, when `k = 0`, the function fills the main diagonal; when `k > 0`, the function fills the diagonal above the main diagonal; and when `k < 0`, the function fills the diagonal below the main diagonal.
+* -   The function mutates the input ndarray in-place.
+*
+* @param {ndarray} x - input array
+* @param {*} value - scalar value
+* @param {IntegerArray} dims - dimension indices defining the plane in which to fill the diagonal
+* @param {integer} k - diagonal offset
+* @throws {RangeError} must provide exactly two dimension indices
+* @throws {RangeError} input ndarray must have at least two dimensions
+* @throws {RangeError} must provide valid dimension indices
+* @throws {Error} must provide unique dimension indices
+* @throws {TypeError} second argument cannot be safely cast to the input array data type
+* @returns {ndarray} input ndarray
+*
+* @example
+* var zeros = require( '@stdlib/ndarray/base/zeros' );
+*
+* var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+* // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
+*
+* var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+* // returns <ndarray>[ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ]
+*
+* var bool = ( out === x );
+* // returns true
+*/
+function fillDiagonal( x, value, dims, k ) {
+	fill( diagonal( x, dims, k, true ), value );
+	return x;
+}
+
+
+// EXPORTS //
+
+module.exports = fillDiagonal;
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/package.json b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/package.json
new file mode 100644
index 000000000000..59cf523e7875
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/package.json
@@ -0,0 +1,64 @@
+{
+  "name": "@stdlib/ndarray/base/fill-diagonal",
+  "version": "0.0.0",
+  "description": "Fill a specified diagonal of a matrix (or stack of matrices) with a scalar value.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdtypes",
+    "types",
+    "base",
+    "data",
+    "structure",
+    "ndarray",
+    "diagonal",
+    "fill",
+    "matrix",
+    "stack"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/test/test.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/test/test.js
new file mode 100644
index 000000000000..1225add25b0e
--- /dev/null
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/test/test.js
@@ -0,0 +1,496 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' );
+var array = require( '@stdlib/ndarray/array' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zeros = require( '@stdlib/ndarray/base/zeros' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var fillDiagonal = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof fillDiagonal, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function throws an error if not provided exactly two dimension indices', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ), [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+	values = [
+		[],
+		[ 0 ],
+		[ 0, 1, 0 ],
+		[ 0, 1, 0, 1 ]
+	];
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ].length + ' dimension indices' );
+	}
+	t.end();
+
+	function badValue( dims ) {
+		return function badValue() {
+			fillDiagonal( x, 1.0, dims, 0 );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided an input ndarray with fewer than two dimensions', function test( t ) {
+	var values;
+	var i;
+
+	values = [
+		new ndarray( 'float64', new Float64Array( [ 5.0 ] ), [], [ 0 ], 0, 'row-major' ),
+		new ndarray( 'float64', new Float64Array( [ 1.0, 2.0, 3.0 ] ), [ 3 ], [ 1 ], 0, 'row-major' )
+	];
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided an input ndarray with '+values[ i ].ndims+' dimensions' );
+	}
+	t.end();
+
+	function badValue( x ) {
+		return function badValue() {
+			fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided out-of-bounds dimension indices', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ), [ 2, 2 ], [ 2, 1 ], 0, 'row-major' );
+
+	values = [
+		[ 0, 2 ],
+		[ 2, 0 ],
+		[ -3, 0 ],
+		[ 0, -3 ],
+		[ 10, 0 ],
+		[ 0, 10 ]
+	];
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided dimension indices ['+values[ i ]+']' );
+	}
+	t.end();
+
+	function badValue( dims ) {
+		return function badValue() {
+			fillDiagonal( x, 1.0, dims, 0 );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided duplicate dimension indices', function test( t ) {
+	var values;
+	var x;
+	var i;
+
+	x = new ndarray( 'float64', new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ), [ 2, 2, 2 ], [ 4, 2, 1 ], 0, 'row-major' );
+
+	values = [
+		[ 0, 0 ],
+		[ 1, 1 ],
+		[ 2, 2 ],
+		[ 0, -3 ],
+		[ -2, 1 ],
+		[ -1, 2 ]
+	];
+	for ( i = 0; i < values.length; i++ ) {
+		t.throws( badValue( values[ i ] ), Error, 'throws an error when provided dimension indices ['+values[ i ]+']' );
+	}
+	t.end();
+
+	function badValue( dims ) {
+		return function badValue() {
+			fillDiagonal( x, 1.0, dims, 0 );
+		};
+	}
+});
+
+tape( 'the function throws an error if provided a value which cannot be safely cast to the input array data type', function test( t ) {
+	var x;
+
+	x = zeros( 'int32', [ 3, 3 ], 'row-major' );
+
+	t.throws( badValue, TypeError, 'throws an error' );
+	t.end();
+
+	function badValue() {
+		fillDiagonal( x, 3.14, [ 0, 1 ], 0 );
+	}
+});
+
+tape( 'the function fills the main diagonal of a square matrix', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+
+	expected = [ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.strictEqual( out, x, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills the super-diagonal of a square matrix', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 1 );
+
+	expected = [ [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ], [ 0.0, 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 2 );
+
+	expected = [ [ 0.0, 0.0, 1.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills the sub-diagonal of a square matrix', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], -1 );
+
+	expected = [ [ 0.0, 0.0, 0.0 ], [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], -2 );
+
+	expected = [ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 1.0, 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills the diagonal of a non-square matrix (M < N)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 2, 4 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+
+	expected = [ [ 1.0, 0.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 2, 4 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 2 );
+
+	expected = [ [ 0.0, 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 0.0, 1.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 2, 4 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], -1 );
+
+	expected = [ [ 0.0, 0.0, 0.0, 0.0 ], [ 1.0, 0.0, 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills the diagonal of a non-square matrix (M > N)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 4, 2 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+
+	expected = [ [ 1.0, 0.0 ], [ 0.0, 1.0 ], [ 0.0, 0.0 ], [ 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 4, 2 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], -2 );
+
+	expected = [ [ 0.0, 0.0 ], [ 0.0, 0.0 ], [ 1.0, 0.0 ], [ 0.0, 1.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 4, 2 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 1 );
+
+	expected = [ [ 0.0, 1.0 ], [ 0.0, 0.0 ], [ 0.0, 0.0 ], [ 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns the input ndarray unchanged when the diagonal offset is out-of-bounds', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = array( [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ] );
+
+	out = fillDiagonal( x, -1.0, [ 0, 1 ], 3 );
+
+	expected = [ [ 1.0, 2.0, 3.0 ], [ 4.0, 5.0, 6.0 ], [ 7.0, 8.0, 9.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	out = fillDiagonal( x, -1.0, [ 0, 1 ], -3 );
+
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	out = fillDiagonal( x, -1.0, [ 0, 1 ], 100 );
+
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function swaps the row-like and column-like dimensions when `dims` is reversed', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 1, 0 ], 1 );
+
+	expected = [ [ 0.0, 0.0, 0.0 ], [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 1, 0 ], -1 );
+
+	expected = [ [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ], [ 0.0, 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills the diagonals of a stack of matrices', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 2, 2, 2 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 1, 2 ], 0 );
+
+	expected = [
+		[ [ 1.0, 0.0 ], [ 0.0, 1.0 ] ],
+		[ [ 1.0, 0.0 ], [ 0.0, 1.0 ] ]
+	];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 2, 2, 2 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 1, 2 ], 1 );
+
+	expected = [
+		[ [ 0.0, 1.0 ], [ 0.0, 0.0 ] ],
+		[ [ 0.0, 1.0 ], [ 0.0, 0.0 ] ]
+	];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 2, 2, 2 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ 1, 2 ], -1 );
+
+	expected = [
+		[ [ 0.0, 0.0 ], [ 1.0, 0.0 ] ],
+		[ [ 0.0, 0.0 ], [ 1.0, 0.0 ] ]
+	];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills the diagonal when `dims` selects non-adjacent dimensions', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 2, 2, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 2 ], 0 );
+
+	expected = [
+		[ [ 1.0, 0.0, 0.0 ], [ 1.0, 0.0, 0.0 ] ],
+		[ [ 0.0, 1.0, 0.0 ], [ 0.0, 1.0, 0.0 ] ]
+	];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports input ndarrays having a non-zero buffer offset', function test( t ) {
+	var expected;
+	var buf;
+	var out;
+	var x;
+
+	buf = [ -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	x = new ndarray( 'generic', buf, [ 3, 3 ], [ 3, 1 ], 1, 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+
+	expected = [ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.strictEqual( buf[ 0 ], -1.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function normalizes negative dimension indices', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ -2, -1 ], 0 );
+
+	expected = [ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports column-major input ndarrays', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 3, 3 ], 'column-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+
+	expected = [ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills non-trailing dimensions of higher-dimensional ndarrays', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 2, 3, 2 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
+
+	expected = [
+		[
+			[ 1.0, 1.0 ],
+			[ 0.0, 0.0 ],
+			[ 0.0, 0.0 ]
+		],
+		[
+			[ 0.0, 0.0 ],
+			[ 1.0, 1.0 ],
+			[ 0.0, 0.0 ]
+		]
+	];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports negative dimension indices combined with a non-zero `k`', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, 1.0, [ -2, -1 ], 1 );
+
+	expected = [ [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ], [ 0.0, 0.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+	out = fillDiagonal( x, 1.0, [ -2, -1 ], -1 );
+
+	expected = [ [ 0.0, 0.0, 0.0 ], [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ] ];
+	t.deepEqual( ndarray2array( out ), expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function fills the diagonal of a complex128 ndarray', function test( t ) {
+	var expected;
+	var out;
+	var x;
+
+	x = zeros( 'complex128', [ 3, 3 ], 'row-major' );
+
+	out = fillDiagonal( x, new Complex128( 1.0, 2.0 ), [ 0, 1 ], 0 );
+
+	expected = new Complex128Array([
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		1.0,
+		2.0
+	]);
+	t.strictEqual( isSameComplex128Array( getData( out ), expected ), true, 'returns expected value' );
+	t.strictEqual( out, x, 'returns expected value' );
+
+	t.end();
+});

From 45bb96b76d1b13aaea03f24556165dee172999c1 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 15:26:45 -0700
Subject: [PATCH 2/9] bench: fix descriptions

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../base/fill-diagonal/benchmark/benchmark.js    | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js
index f4ce5ba7d243..7d78f86f2244 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/benchmark/benchmark.js
@@ -31,7 +31,7 @@ var fillDiagonal = require( './../lib' );
 
 // MAIN //
 
-bench( format( '%s::ndims=2,ctor=base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=2,ctor=base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;
@@ -59,7 +59,7 @@ bench( format( '%s::ndims=2,ctor=base', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::ndims=2,ctor=non-base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=2,ctor=non-base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;
@@ -91,7 +91,7 @@ bench( format( '%s::ndims=2,ctor=non-base', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::ndims=3,ctor=base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=3,ctor=base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;
@@ -119,7 +119,7 @@ bench( format( '%s::ndims=3,ctor=base', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::ndims=3,ctor=non-base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=3,ctor=non-base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;
@@ -151,7 +151,7 @@ bench( format( '%s::ndims=3,ctor=non-base', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::ndims=4,ctor=base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=4,ctor=base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;
@@ -179,7 +179,7 @@ bench( format( '%s::ndims=4,ctor=base', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::ndims=4,ctor=non-base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=4,ctor=non-base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;
@@ -211,7 +211,7 @@ bench( format( '%s::ndims=4,ctor=non-base', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::ndims=5,ctor=base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=5,ctor=base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;
@@ -239,7 +239,7 @@ bench( format( '%s::ndims=5,ctor=base', pkg ), function benchmark( b ) {
 	b.end();
 });
 
-bench( format( '%s::ndims=5,ctor=non-base', pkg ), function benchmark( b ) {
+bench( format( '%s:ndims=5,ctor=non-base', pkg ), function benchmark( b ) {
 	var values;
 	var out;
 	var i;

From f0b922824485be84b92d89b9dfa72c75a847b04f Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 15:29:18 -0700
Subject: [PATCH 3/9] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts  | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts
index 1c4e42d059d7..4a952d53c0f3 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/types/index.d.ts
@@ -40,9 +40,9 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * @returns input ndarray
 *
 * @example
-* var zeros = require( '@stdlib/ndarray/base/zeros' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
 *
-* var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+* var x = zeros( [ 3, 3 ] );
 * // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
 *
 * var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );

From f525580da512a1e9536f87e43f7967542f4fefe5 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 15:32:58 -0700
Subject: [PATCH 4/9] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../ndarray/base/fill-diagonal/docs/repl.txt   | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
index d900632755a0..4f50bce4af6d 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
@@ -4,15 +4,15 @@
     scalar value.
 
     The order of the dimension indices contained in `dims` matters. The first
-    element specifies the row-like dimension. The second element specifies
-    the column-like dimension.
+    element specifies the row-like dimension. The second element specifies the
+    column-like dimension.
 
     Each provided dimension index must reside on the interval [-ndims, ndims-1].
 
-    The diagonal offset `k` is interpreted as `column - row`. Accordingly,
-    when `k = 0`, the function fills the main diagonal; when `k > 0`, the
-    function fills the diagonal above the main diagonal; and when `k < 0`,
-    the function fills the diagonal below the main diagonal.
+    The diagonal offset `k` is interpreted as `column - row`. Accordingly, when
+    `k = 0`, the function fills the main diagonal; when `k > 0`, the function
+    fills a diagonal above the main diagonal; and when `k < 0`, the function
+    fills a diagonal below the main diagonal.
 
     The function mutates the input ndarray in-place.
 
@@ -41,10 +41,10 @@
 
     Examples
     --------
-    > var x = {{alias:@stdlib/ndarray/base/zeros}}( 'float64', [ 3, 3 ], 'row-major' )
-    <ndarray>
+    > var x = {{alias:@stdlib/ndarray/zeros}}( [ 3, 3 ] )
+    <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
     > var out = {{alias}}( x, 1.0, [ 0, 1 ], 0 )
-    <ndarray>
+    <ndarray>[ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ]
     > var bool = ( out === x )
     true
 

From 48119146408d9a1d7026d8ab10335bcc7f5b7c43 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 15:34:21 -0700
Subject: [PATCH 5/9] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../ndarray/base/fill-diagonal/examples/index.js       | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
index 277023009e54..341ed79fb4b6 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
@@ -18,21 +18,21 @@
 
 'use strict';
 
-var zeros = require( '@stdlib/ndarray/base/zeros' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var fillDiagonal = require( './../lib' );
 
 // Create a stack of zero matrices:
-var x = zeros( 'float64', [ 2, 3, 3 ], 'row-major' );
+var x = zeros( [ 2, 3, 3 ] );
 
-// Fill the main diagonals:
+// Fill main diagonals:
 fillDiagonal( x, 1.0, [ 1, 2 ], 0 );
 console.log( ndarray2array( x ) );
 
-// Fill the super-diagonals:
+// Fill super-diagonals:
 fillDiagonal( x, 2.0, [ 1, 2 ], 1 );
 console.log( ndarray2array( x ) );
 
-// Fill the sub-diagonals:
+// Fill sub-diagonals:
 fillDiagonal( x, 3.0, [ 1, 2 ], -1 );
 console.log( ndarray2array( x ) );

From e1f4133aa7aca998563d4918e55e4bf7a9f9c7c6 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 15:34:39 -0700
Subject: [PATCH 6/9] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/ndarray/base/fill-diagonal/examples/index.js        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
index 341ed79fb4b6..9fc692ce9590 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/examples/index.js
@@ -22,7 +22,7 @@ var zeros = require( '@stdlib/ndarray/zeros' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var fillDiagonal = require( './../lib' );
 
-// Create a stack of zero matrices:
+// Create a stack of matrices:
 var x = zeros( [ 2, 3, 3 ] );
 
 // Fill main diagonals:

From b296cafcbe0da3782b98d643c58a39514a114f9b Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 16:44:28 -0700
Subject: [PATCH 7/9] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/ndarray/base/fill-diagonal/README.md | 16 ++++++++--------
 .../ndarray/base/fill-diagonal/lib/index.js      |  4 ++--
 .../ndarray/base/fill-diagonal/lib/main.js       |  4 ++--
 3 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
index d2df1a3c4d70..cb7e31de2619 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
@@ -58,9 +58,9 @@ var fillDiagonal = require( '@stdlib/ndarray/base/fill-diagonal' );
 Fills a specified diagonal of a matrix (or stack of matrices) with a scalar value.
 
 ```javascript
-var zeros = require( '@stdlib/ndarray/base/zeros' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 
-var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+var x = zeros( [ 3, 3 ] );
 // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
 
 var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
@@ -103,22 +103,22 @@ The function accepts the following arguments:
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var zeros = require( '@stdlib/ndarray/base/zeros' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var fillDiagonal = require( '@stdlib/ndarray/base/fill-diagonal' );
 
-// Create a stack of zero matrices:
-var x = zeros( 'float64', [ 2, 3, 3 ], 'row-major' );
+// Create a stack of matrices:
+var x = zeros( [ 2, 3, 3 ] );
 
-// Fill the main diagonals:
+// Fill main diagonals:
 fillDiagonal( x, 1.0, [ 1, 2 ], 0 );
 console.log( ndarray2array( x ) );
 
-// Fill the super-diagonals:
+// Fill super-diagonals:
 fillDiagonal( x, 2.0, [ 1, 2 ], 1 );
 console.log( ndarray2array( x ) );
 
-// Fill the sub-diagonals:
+// Fill sub-diagonals:
 fillDiagonal( x, 3.0, [ 1, 2 ], -1 );
 console.log( ndarray2array( x ) );
 ```
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js
index 662161495a57..4bdbef3d2f30 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/index.js
@@ -24,10 +24,10 @@
 * @module @stdlib/ndarray/base/fill-diagonal
 *
 * @example
-* var zeros = require( '@stdlib/ndarray/base/zeros' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
 * var fillDiagonal = require( '@stdlib/ndarray/base/fill-diagonal' );
 *
-* var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+* var x = zeros( [ 3, 3 ] );
 * // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
 *
 * var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );
diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js
index 6ec55778378b..571a2628bde8 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/lib/main.js
@@ -48,9 +48,9 @@ var fill = require( '@stdlib/ndarray/base/fill' );
 * @returns {ndarray} input ndarray
 *
 * @example
-* var zeros = require( '@stdlib/ndarray/base/zeros' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
 *
-* var x = zeros( 'float64', [ 3, 3 ], 'row-major' );
+* var x = zeros( [ 3, 3 ] );
 * // returns <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
 *
 * var out = fillDiagonal( x, 1.0, [ 0, 1 ], 0 );

From 25619d65fe2e5b743f1e9fbbc8ca9e7914ca2fdb Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 16:49:10 -0700
Subject: [PATCH 8/9] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
index cb7e31de2619..e03acbcac61d 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/README.md
@@ -26,13 +26,13 @@ limitations under the License.
 
 For an `M`-by-`N` matrix `A`, the `k`-th diagonal is defined as
 
-<!-- <equation class="equation" label="eq:fill_diagonal_definition" align="center" raw="D_k = \{\, A_{i,j} : j - i = k \,\}" alt="Definition of the k-th diagonal of a matrix."> -->
+<!-- <equation class="equation" label="eq:diagonal_definition" align="center" raw="D_k = \{\, A_{i,j} : j - i = k \,\}" alt="Definition of the k-th diagonal of a matrix."> -->
 
 ```math
 D_k = \{\, A_{i,j} : j - i = k \,\}
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="D_k = \{\, A_{i,j} : j - i = k \,\}" data-equation="eq:fill_diagonal_definition">
+<!-- <div class="equation" align="center" data-raw-text="D_k = \{\, A_{i,j} : j - i = k \,\}" data-equation="eq:diagonal_definition">
     <img src="" alt="Definition of the k-th diagonal of a matrix.">
     <br>
 </div> -->

From c3d5a670737e4f86a896a1347894d984fde7fdb8 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sun, 3 May 2026 16:52:18 -0700
Subject: [PATCH 9/9] docs: remove expected values

Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/ndarray/base/fill-diagonal/docs/repl.txt            | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
index 4f50bce4af6d..39a3b54f18a2 100644
--- a/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
+++ b/lib/node_modules/@stdlib/ndarray/base/fill-diagonal/docs/repl.txt
@@ -42,7 +42,7 @@
     Examples
     --------
     > var x = {{alias:@stdlib/ndarray/zeros}}( [ 3, 3 ] )
-    <ndarray>[ [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0 ] ]
+    <ndarray>
     > var out = {{alias}}( x, 1.0, [ 0, 1 ], 0 )
     <ndarray>[ [ 1.0, 0.0, 0.0 ], [ 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0 ] ]
     > var bool = ( out === x )