From 93b57e730232ee31ea22b35233d7f910e9c99982 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Tue, 16 Jun 2026 11:25:55 +0530
Subject: [PATCH 01/10] feat: add blas/base/ndarray/gsyr

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---
 .../@stdlib/blas/base/ndarray/gsyr/README.md  | 128 +++++++++
 .../base/ndarray/gsyr/benchmark/benchmark.js  | 112 ++++++++
 .../blas/base/ndarray/gsyr/docs/repl.txt      |  36 +++
 .../base/ndarray/gsyr/docs/types/index.d.ts   |  62 +++++
 .../blas/base/ndarray/gsyr/docs/types/test.ts |  69 +++++
 .../blas/base/ndarray/gsyr/examples/index.js  |  41 +++
 .../blas/base/ndarray/gsyr/lib/index.js       |  53 ++++
 .../blas/base/ndarray/gsyr/lib/main.js        |  76 +++++
 .../blas/base/ndarray/gsyr/package.json       |  72 +++++
 .../blas/base/ndarray/gsyr/test/test.js       | 259 ++++++++++++++++++
 10 files changed, 908 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
new file mode 100644
index 000000000000..58604a52da26
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
@@ -0,0 +1,128 @@
+<!--
+
+@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.
+
+-->
+
+# gsyr
+
+> Perform the symmetric rank 1 operation `A = alpha*x*x^T + A`.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
+```
+
+#### gsyr( arrays )
+
+Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an `N` by `N` symmetric matrix.
+
+```javascript
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+
+var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+var alpha = scalar2ndarray( 2.0, {
+    'dtype': 'generic'
+});
+
+var out = gsyr( [ x, A, alpha ] );
+// returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
+
+var bool = ( out === A );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a two-dimensional input ndarray.
+    -   a zero-dimensional ndarray containing a scalar constant.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
+
+var opts = {
+    'dtype': 'generic'
+};
+
+var x = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
+console.log( ndarray2array( x ) );
+
+var A = new ndarray( 'generic', discreteUniform( 9, 0, 10, opts ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+console.log( ndarray2array( A ) );
+
+var alpha = scalar2ndarray( 1.0, opts );
+
+var out = gsyr( [ x, A, alpha ] );
+console.log( ndarray2array( out ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- 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">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
new file mode 100644
index 000000000000..3b5bd108f753
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
@@ -0,0 +1,112 @@
+/**
+* @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 uniform = require( '@stdlib/random/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gsyr = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var x;
+	var A;
+
+	x = uniform( [ len ], -100.0, 100.0, options );
+	A = uniform( [ len, len ], -100.0, 100.0, options );
+
+	alpha = scalar2ndarray( 1.0, options );
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = gsyr( [ x, A, alpha ] );
+			if ( typeof z !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( z.get( 0, i%len ) ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 3; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt
new file mode 100644
index 000000000000..b0d761d4cf3b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt
@@ -0,0 +1,36 @@
+
+{{alias}}( arrays )
+    Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where
+    `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an
+    `N` by `N` symmetric matrix.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a two-dimensional input ndarray.
+        - a zero-dimensional ndarray containing a scalar constant.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( [ 1.0, 2.0 ], 'generic' );
+    > var buf = [ 1.0, 2.0, 2.0, 1.0 ];
+    > var sh = [ 2, 2 ];
+    > var st = [ 2, 1 ];
+    > var A = new {{alias:@stdlib/ndarray/base/ctor}}( 'generic', buf, sh, st, 0, 'row-major' );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 2.0, { 'dtype': 'generic' });
+
+    > {{alias}}( [ x, A, alpha ] );
+    > A
+    <ndarray>[ [ 3.0, 6.0 ], [ 2.0, 9.0 ] ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
new file mode 100644
index 000000000000..1e6fb5051772
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
@@ -0,0 +1,62 @@
+/*
+* @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 { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an `N` by `N` symmetric matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing a scalar constant.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+*
+* var alpha = scalar2ndarray( 2.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = gsyr( [ x, A, alpha ] );
+* // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
+*
+* var bool = ( out === A );
+* // returns true
+*/
+declare function gsyr<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, typedndarray<number> ] ): U;
+
+
+// EXPORTS //
+
+export = gsyr;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
new file mode 100644
index 000000000000..67364c589f54
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
@@ -0,0 +1,69 @@
+/*
+* @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 gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 3 ], {
+		'dtype': 'generic'
+	});
+	const A = zeros( [ 3, 3 ], {
+		'dtype': 'generic'
+	});
+	const alpha = zeros( [], {
+		'dtype': 'generic'
+	});
+
+	gsyr( [ x, A, alpha ] ); // $ExpectType genericndarray<number>
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	gsyr( '10' ); // $ExpectError
+	gsyr( 10 ); // $ExpectError
+	gsyr( true ); // $ExpectError
+	gsyr( false ); // $ExpectError
+	gsyr( null ); // $ExpectError
+	gsyr( undefined ); // $ExpectError
+	gsyr( [] ); // $ExpectError
+	gsyr( {} ); // $ExpectError
+	gsyr( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 3 ], {
+		'dtype': 'generic'
+	});
+	const A = zeros( [ 3, 3 ], {
+		'dtype': 'generic'
+	});
+	const alpha = zeros( [], {
+		'dtype': 'generic'
+	});
+
+	gsyr(); // $ExpectError
+	gsyr( [ x, A, alpha ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
new file mode 100644
index 000000000000..3ea924d84f8c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var gsyr = require( './../lib' );
+
+var opts = {
+	'dtype': 'generic'
+};
+
+var x = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
+console.log( ndarray2array( x ) );
+
+var A = new ndarray( 'generic', discreteUniform( 9, 0, 10, opts ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+console.log( ndarray2array( A ) );
+
+var alpha = scalar2ndarray( 1.0, opts );
+
+var out = gsyr( [ x, A, alpha ] );
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
new file mode 100644
index 000000000000..4a2fe6a77f14
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
@@ -0,0 +1,53 @@
+/**
+* @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';
+
+/**
+* BLAS level 2 routine to perform the symmetric rank 1 operation `A = alpha*x*x^T + A`.
+*
+* @module @stdlib/blas/base/ndarray/gsyr
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
+*
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+*
+* var alpha = scalar2ndarray( 2.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = gsyr( [ x, A, alpha ] );
+* // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
+*
+* var bool = ( out === A );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
new file mode 100644
index 000000000000..fe62254cc8d2
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
@@ -0,0 +1,76 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var strided = require( '@stdlib/blas/base/gsyr' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an `N` by `N` symmetric matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing a scalar constant.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {Object} output ndarray
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+*
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
+* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+*
+* var alpha = scalar2ndarray( 2.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = gsyr( [ x, A, alpha ] );
+* // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
+*
+* var bool = ( out === A );
+* // returns true
+*/
+function gsyr( arrays ) {
+	var alpha = ndarraylike2scalar( arrays[ 2 ] );
+	var x = arrays[ 0 ];
+	var A = arrays[ 1 ];
+	strided( 'upper', numelDimension( A, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ), getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ) );
+	return A;
+}
+
+
+// EXPORTS //
+
+module.exports = gsyr;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/package.json
new file mode 100644
index 000000000000..725d48f5e44d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/blas/base/ndarray/gsyr",
+  "version": "0.0.0",
+  "description": "Perform the symmetric rank 1 operation `A = alpha*x*x^T + A`.",
+  "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",
+    "stdmath",
+    "mathematics",
+    "math",
+    "blas",
+    "level 2",
+    "gsyr",
+    "linear",
+    "algebra",
+    "subroutines",
+    "symmetric",
+    "rank-1",
+    "update",
+    "vector",
+    "matrix",
+    "array",
+    "ndarray",
+    "generic",
+    "typedndarray"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
new file mode 100644
index 000000000000..ff22f71eb7ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
@@ -0,0 +1,259 @@
+/**
+* @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 isSameArray = require( '@stdlib/assert/is-same-array' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var gsyr = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'generic', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+/**
+* Returns a two-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} N - number of rows and columns
+* @param {integer} stride0 - stride of the first dimension
+* @param {integer} stride1 - stride of the second dimension
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} two-dimensional ndarray
+*/
+function matrix( buffer, N, stride0, stride1, offset ) {
+	return new ndarray( 'generic', buffer, [ N, N ], [ stride0, stride1 ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof gsyr, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( gsyr.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function performs the symmetric rank 1 operation `A = alpha*x*x^T + A`', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = [ 1.0, 2.0, 3.0 ];
+	Abuf = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+	x = vector( xbuf, 3, 1, 0 );
+	A = matrix( Abuf, 3, 3, 1, 0 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = gsyr( [ x, A, alpha ] );
+
+	expected = [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ];
+	t.strictEqual( v, A, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+
+	xbuf = [ 1.0, 1.0, 1.0 ];
+	Abuf = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
+	x = vector( xbuf, 3, 1, 0 );
+	A = matrix( Abuf, 3, 1, 3, 0 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = gsyr( [ x, A, alpha ] );
+
+	expected = [ 3.0, 2.0, 3.0, 4.0, 3.0, 2.0, 5.0, 4.0, 3.0 ];
+	t.strictEqual( v, A, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if `alpha` is `0`, the function returns `A` unchanged', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = [ 1.0, 2.0, 3.0 ];
+	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ];
+	x = vector( xbuf, 3, 1, 0 );
+	A = matrix( Abuf, 3, 3, 1, 0 );
+	alpha = scalar2ndarray( 0.0, {
+		'dtype': 'generic'
+	});
+
+	v = gsyr( [ x, A, alpha ] );
+
+	expected = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ];
+	t.strictEqual( v, A, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-unit strides', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = [
+		1.0, // 0
+		0.0,
+		2.0, // 1
+		0.0,
+		3.0  // 2
+	];
+	x = vector( xbuf, 3, 2, 0 );
+
+	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	A = matrix( Abuf, 3, 3, 1, 0 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = gsyr( [ x, A, alpha ] );
+
+	expected = [ 2.0, 4.0, 6.0, 0.0, 8.0, 12.0, 0.0, 0.0, 18.0 ];
+	t.strictEqual( v, A, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having negative strides', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = [
+		3.0, // 2
+		2.0, // 1
+		1.0  // 0
+	];
+	x = vector( xbuf, 3, -1, 2 );
+
+	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+	A = matrix( Abuf, 3, 3, 1, 0 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = gsyr( [ x, A, alpha ] );
+
+	expected = [ 2.0, 4.0, 6.0, 0.0, 8.0, 12.0, 0.0, 0.0, 18.0 ];
+	t.strictEqual( v, A, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var alpha;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = [
+		0.0,
+		1.0, // 0
+		0.0,
+		2.0, // 1
+		0.0,
+		3.0  // 2
+	];
+	x = vector( xbuf, 3, 2, 1 );
+
+	Abuf = [
+		999.0,
+		999.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0
+	];
+	A = matrix( Abuf, 3, 3, 1, 2 );
+	alpha = scalar2ndarray( 2.0, {
+		'dtype': 'generic'
+	});
+
+	v = gsyr( [ x, A, alpha ] );
+
+	expected = [
+		999.0,
+		999.0,
+		2.0,
+		4.0,
+		6.0,
+		0.0,
+		8.0,
+		12.0,
+		0.0,
+		0.0,
+		18.0
+	];
+	t.strictEqual( v, A, 'returns expected value' );
+	t.strictEqual( isSameArray( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});

From a9f1f35cbd0a3e232451dbb746b0344bd3f8b7d5 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 13 Jul 2026 15:47:09 +0530
Subject: [PATCH 02/10] feat: add matrix/ndarray/ctor and cleanup

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: passed
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/base/ndarray/gsyr/README.md  | 33 +++++++++++------
 .../base/ndarray/gsyr/benchmark/benchmark.js  |  9 ++++-
 .../blas/base/ndarray/gsyr/docs/repl.txt      | 36 ++++++++++--------
 .../base/ndarray/gsyr/docs/types/index.d.ts   | 21 +++++++----
 .../blas/base/ndarray/gsyr/docs/types/test.ts | 10 ++++-
 .../blas/base/ndarray/gsyr/examples/index.js  | 17 +++++----
 .../blas/base/ndarray/gsyr/lib/index.js       | 10 +++--
 .../blas/base/ndarray/gsyr/lib/main.js        | 37 +++++++++++++------
 .../blas/base/ndarray/gsyr/test/test.js       | 36 +++++++++++++++---
 9 files changed, 142 insertions(+), 67 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
index 58604a52da26..971eba2ffb66 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
@@ -38,21 +38,25 @@ var gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 
 #### gsyr( arrays )
 
-Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an `N` by `N` symmetric matrix.
+Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is a one-dimensional ndarray, and `A` is an `N` by `N` symmetric matrix.
 
 ```javascript
+var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 
 var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
-var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 
+var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+    'dtype': 'int8'
+});
 var alpha = scalar2ndarray( 2.0, {
     'dtype': 'generic'
 });
 
-var out = gsyr( [ x, A, alpha ] );
+var out = gsyr( [ x, A, uplo, alpha ] );
 // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 
 var bool = ( out === A );
@@ -63,9 +67,10 @@ The function has the following parameters:
 
 -   **arrays**: array-like object containing the following ndarrays:
 
-    -   a one-dimensional input ndarray.
-    -   a two-dimensional input ndarray.
-    -   a zero-dimensional ndarray containing a scalar constant.
+    -   a one-dimensional input ndarray corresponding to `x`.
+    -   a two-dimensional input ndarray corresponding to `A`.
+    -   a zero-dimensional ndarray specifying whether the upper or lower triangular part of the symmetric matrix `A` should be referenced.
+    -   a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
 
 </section>
 
@@ -84,10 +89,11 @@ The function has the following parameters:
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 
@@ -95,15 +101,18 @@ var opts = {
     'dtype': 'generic'
 };
 
-var x = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
+var x = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
 console.log( ndarray2array( x ) );
 
-var A = new ndarray( 'generic', discreteUniform( 9, 0, 10, opts ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+var A = matrix( ndarray2array( discreteUniform( [ 3, 3 ], 0, 10, opts ) ), 'generic' );
 console.log( ndarray2array( A ) );
 
+var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+    'dtype': 'int8'
+});
 var alpha = scalar2ndarray( 1.0, opts );
 
-var out = gsyr( [ x, A, alpha ] );
+var out = gsyr( [ x, A, uplo, alpha ] );
 console.log( ndarray2array( out ) );
 ```
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
index 3b5bd108f753..6c620d1af19b 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
@@ -21,10 +21,11 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var gsyr = require( './../lib' );
@@ -48,12 +49,16 @@ var options = {
 */
 function createBenchmark( len ) {
 	var alpha;
+	var uplo;
 	var x;
 	var A;
 
 	x = uniform( [ len ], -100.0, 100.0, options );
 	A = uniform( [ len, len ], -100.0, 100.0, options );
 
+	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+		'dtype': 'int8'
+	});
 	alpha = scalar2ndarray( 1.0, options );
 
 	return benchmark;
@@ -70,7 +75,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			z = gsyr( [ x, A, alpha ] );
+			z = gsyr( [ x, A, uplo, alpha ] );
 			if ( typeof z !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt
index b0d761d4cf3b..b1ca2069bbe5 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/repl.txt
@@ -1,17 +1,20 @@
 
 {{alias}}( arrays )
-    Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where
-    `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an
-    `N` by `N` symmetric matrix.
+    Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`,
+    where `alpha` is a scalar, `x` is a one-dimensional ndarray, and
+    `A` is an `N` by `N` symmetric matrix.
 
     Parameters
     ----------
     arrays: ArrayLikeObject<ndarray>
         Array-like object containing the following ndarrays:
 
-        - a one-dimensional input ndarray.
-        - a two-dimensional input ndarray.
-        - a zero-dimensional ndarray containing a scalar constant.
+        - a one-dimensional input ndarray corresponding to `x`.
+        - a two-dimensional input ndarray corresponding to `A`.
+        - a zero-dimensional ndarray specifying whether the upper or lower
+        triangular part of the symmetric matrix `A` should be referenced.
+        - a zero-dimensional ndarray containing a scalar constant corresponding
+        to `alpha`.
 
     Returns
     -------
@@ -20,16 +23,19 @@
 
     Examples
     --------
-    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( [ 1.0, 2.0 ], 'generic' );
-    > var buf = [ 1.0, 2.0, 2.0, 1.0 ];
-    > var sh = [ 2, 2 ];
-    > var st = [ 2, 1 ];
-    > var A = new {{alias:@stdlib/ndarray/base/ctor}}( 'generic', buf, sh, st, 0, 'row-major' );
-    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 2.0, { 'dtype': 'generic' });
-
-    > {{alias}}( [ x, A, alpha ] );
+    > var xbuf = [ 1.0, 2.0, 3.0 ];
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( xbuf, 'generic' );
+
+    > var abuf = [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ];
+    > var A = {{alias:@stdlib/ndarray/matrix/ctor}}( abuf, 'generic' );
+
+    > var uplo = {{alias:@stdlib/ndarray/from-scalar}}( 'upper' );
+    > var opts = { 'dtype': 'generic' };
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 2.0, opts );
+
+    > {{alias}}( [ x, A, uplo, alpha ] );
     > A
-    <ndarray>[ [ 3.0, 6.0 ], [ 2.0, 9.0 ] ]
+    <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 
     See Also
     --------
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
index 1e6fb5051772..8fb14f717709 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
@@ -23,38 +23,43 @@
 import { typedndarray } from '@stdlib/types/ndarray';
 
 /**
-* Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an `N` by `N` symmetric matrix.
+* Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is a one-dimensional ndarray, and `A` is an `N` by `N` symmetric matrix.
 *
 * ## Notes
 *
 * -   The function expects the following ndarrays:
 *
-*     -   a one-dimensional input ndarray.
-*     -   a two-dimensional input ndarray.
-*     -   a zero-dimensional ndarray containing a scalar constant.
+*     -   a one-dimensional input ndarray corresponding to `x`.
+*     -   a two-dimensional input ndarray corresponding to `A`.
+*     -   a zero-dimensional ndarray specifying whether the upper or lower triangular part of the symmetric matrix `A` should be referenced.
+*     -   a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
 *
 * @param arrays - array-like object containing ndarrays
 * @returns output ndarray
 *
 * @example
+* var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 * var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 *
 * var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
-* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 *
+* var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+*     'dtype': 'int8'
+* });
 * var alpha = scalar2ndarray( 2.0, {
 *     'dtype': 'generic'
 * });
 *
-* var out = gsyr( [ x, A, alpha ] );
+* var out = gsyr( [ x, A, uplo, alpha ] );
 * // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 *
 * var bool = ( out === A );
 * // returns true
 */
-declare function gsyr<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, typedndarray<number> ] ): U;
+declare function gsyr<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, typedndarray<number>, typedndarray<number> ] ): U;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
index 67364c589f54..e7f0b2363fb7 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
@@ -32,11 +32,14 @@ import gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 	const A = zeros( [ 3, 3 ], {
 		'dtype': 'generic'
 	});
+	const uplo = zeros( [], {
+		'dtype': 'int8'
+	});
 	const alpha = zeros( [], {
 		'dtype': 'generic'
 	});
 
-	gsyr( [ x, A, alpha ] ); // $ExpectType genericndarray<number>
+	gsyr( [ x, A, uplo, alpha ] ); // $ExpectType genericndarray<number>
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
@@ -60,10 +63,13 @@ import gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 	const A = zeros( [ 3, 3 ], {
 		'dtype': 'generic'
 	});
+	const uplo = zeros( [], {
+		'dtype': 'int8'
+	});
 	const alpha = zeros( [], {
 		'dtype': 'generic'
 	});
 
 	gsyr(); // $ExpectError
-	gsyr( [ x, A, alpha ], {} ); // $ExpectError
+	gsyr( [ x, A, uplo, alpha ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
index 3ea924d84f8c..c3c390c0be10 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
@@ -18,10 +18,11 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var gsyr = require( './../lib' );
 
@@ -29,13 +30,13 @@ var opts = {
 	'dtype': 'generic'
 };
 
-var x = vector( discreteUniform( 3, 0, 10, opts ), 'generic' );
-console.log( ndarray2array( x ) );
-
-var A = new ndarray( 'generic', discreteUniform( 9, 0, 10, opts ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
-console.log( ndarray2array( A ) );
+var x = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
+var A = matrix( ndarray2array( discreteUniform( [ 3, 3 ], 0, 10, opts ) ), 'generic' );
 
+var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+	'dtype': 'int8'
+});
 var alpha = scalar2ndarray( 1.0, opts );
 
-var out = gsyr( [ x, A, alpha ] );
+var out = gsyr( [ x, A, uplo, alpha ] );
 console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
index 4a2fe6a77f14..2758f5f95ceb 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
@@ -24,19 +24,23 @@
 * @module @stdlib/blas/base/ndarray/gsyr
 *
 * @example
+* var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 * var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 * var gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 *
 * var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
-* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 *
+* var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+*     'dtype': 'int8'
+* });
 * var alpha = scalar2ndarray( 2.0, {
 *     'dtype': 'generic'
 * });
 *
-* var out = gsyr( [ x, A, alpha ] );
+* var out = gsyr( [ x, A, uplo, alpha ] );
 * // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 *
 * var bool = ( out === A );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
index fe62254cc8d2..702160a57ff8 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
@@ -25,48 +25,63 @@ var getStride = require( '@stdlib/ndarray/base/stride' );
 var getOffset = require( '@stdlib/ndarray/base/offset' );
 var getData = require( '@stdlib/ndarray/base/data-buffer' );
 var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var resolveStr = require( '@stdlib/blas/base/matrix-triangle-resolve-str' );
 var strided = require( '@stdlib/blas/base/gsyr' ).ndarray;
 
 
 // MAIN //
 
 /**
-* Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is an `N` element ndarray, and `A` is an `N` by `N` symmetric matrix.
+* Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is a one-dimensional ndarray, and `A` is an `N` by `N` symmetric matrix.
 *
 * ## Notes
 *
 * -   The function expects the following ndarrays:
 *
-*     -   a one-dimensional input ndarray.
-*     -   a two-dimensional input ndarray.
-*     -   a zero-dimensional ndarray containing a scalar constant.
+*     -   a one-dimensional input ndarray corresponding to `x`.
+*     -   a two-dimensional input ndarray corresponding to `A`.
+*     -   a zero-dimensional ndarray specifying whether the upper or lower triangular part of the symmetric matrix `A` should be referenced.
+*     -   a zero-dimensional ndarray containing a scalar constant corresponding to `alpha`.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
 * @returns {Object} output ndarray
 *
 * @example
+* var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 * var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 *
 * var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
-* var A = new ndarray( 'generic', [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ], [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+* var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 *
+* var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+*     'dtype': 'int8'
+* });
 * var alpha = scalar2ndarray( 2.0, {
 *     'dtype': 'generic'
 * });
 *
-* var out = gsyr( [ x, A, alpha ] );
+* var out = gsyr( [ x, A, uplo, alpha ] );
 * // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 *
 * var bool = ( out === A );
 * // returns true
 */
 function gsyr( arrays ) {
-	var alpha = ndarraylike2scalar( arrays[ 2 ] );
-	var x = arrays[ 0 ];
-	var A = arrays[ 1 ];
-	strided( 'upper', numelDimension( A, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ), getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ) );
+	var alpha;
+	var uplo;
+	var x;
+	var A;
+
+	x = arrays[ 0 ];
+	A = arrays[ 1 ];
+
+	uplo = resolveStr( ndarraylike2scalar( arrays[ 2 ] ) );
+	alpha = ndarraylike2scalar( arrays[ 3 ] );
+
+	strided( uplo, numelDimension( A, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ), getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ) );
+
 	return A;
 }
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
index ff22f71eb7ef..09cd5a2b3e50 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
@@ -23,6 +23,7 @@
 var tape = require( 'tape' );
 var isSameArray = require( '@stdlib/assert/is-same-array' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var getData = require( '@stdlib/ndarray/data-buffer' );
 var gsyr = require( './../lib' );
@@ -78,6 +79,7 @@ tape( 'the function performs the symmetric rank 1 operation `A = alpha*x*x^T + A
 	var alpha;
 	var xbuf;
 	var Abuf;
+	var uplo;
 	var x;
 	var A;
 	var v;
@@ -86,11 +88,14 @@ tape( 'the function performs the symmetric rank 1 operation `A = alpha*x*x^T + A
 	Abuf = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
 	x = vector( xbuf, 3, 1, 0 );
 	A = matrix( Abuf, 3, 3, 1, 0 );
+	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+		'dtype': 'int8'
+	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
 	});
 
-	v = gsyr( [ x, A, alpha ] );
+	v = gsyr( [ x, A, uplo, alpha ] );
 
 	expected = [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ];
 	t.strictEqual( v, A, 'returns expected value' );
@@ -100,11 +105,14 @@ tape( 'the function performs the symmetric rank 1 operation `A = alpha*x*x^T + A
 	Abuf = [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ];
 	x = vector( xbuf, 3, 1, 0 );
 	A = matrix( Abuf, 3, 1, 3, 0 );
+	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+		'dtype': 'int8'
+	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
 	});
 
-	v = gsyr( [ x, A, alpha ] );
+	v = gsyr( [ x, A, uplo, alpha ] );
 
 	expected = [ 3.0, 2.0, 3.0, 4.0, 3.0, 2.0, 5.0, 4.0, 3.0 ];
 	t.strictEqual( v, A, 'returns expected value' );
@@ -118,6 +126,7 @@ tape( 'if `alpha` is `0`, the function returns `A` unchanged', function test( t
 	var alpha;
 	var xbuf;
 	var Abuf;
+	var uplo;
 	var x;
 	var A;
 	var v;
@@ -126,11 +135,14 @@ tape( 'if `alpha` is `0`, the function returns `A` unchanged', function test( t
 	Abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ];
 	x = vector( xbuf, 3, 1, 0 );
 	A = matrix( Abuf, 3, 3, 1, 0 );
+	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+		'dtype': 'int8'
+	});
 	alpha = scalar2ndarray( 0.0, {
 		'dtype': 'generic'
 	});
 
-	v = gsyr( [ x, A, alpha ] );
+	v = gsyr( [ x, A, uplo, alpha ] );
 
 	expected = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ];
 	t.strictEqual( v, A, 'returns expected value' );
@@ -144,6 +156,7 @@ tape( 'the function supports ndarrays having non-unit strides', function test( t
 	var alpha;
 	var xbuf;
 	var Abuf;
+	var uplo;
 	var x;
 	var A;
 	var v;
@@ -159,11 +172,14 @@ tape( 'the function supports ndarrays having non-unit strides', function test( t
 
 	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
 	A = matrix( Abuf, 3, 3, 1, 0 );
+	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+		'dtype': 'int8'
+	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
 	});
 
-	v = gsyr( [ x, A, alpha ] );
+	v = gsyr( [ x, A, uplo, alpha ] );
 
 	expected = [ 2.0, 4.0, 6.0, 0.0, 8.0, 12.0, 0.0, 0.0, 18.0 ];
 	t.strictEqual( v, A, 'returns expected value' );
@@ -176,6 +192,7 @@ tape( 'the function supports ndarrays having negative strides', function test( t
 	var alpha;
 	var xbuf;
 	var Abuf;
+	var uplo;
 	var x;
 	var A;
 	var v;
@@ -189,11 +206,14 @@ tape( 'the function supports ndarrays having negative strides', function test( t
 
 	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
 	A = matrix( Abuf, 3, 3, 1, 0 );
+	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+		'dtype': 'int8'
+	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
 	});
 
-	v = gsyr( [ x, A, alpha ] );
+	v = gsyr( [ x, A, uplo, alpha ] );
 
 	expected = [ 2.0, 4.0, 6.0, 0.0, 8.0, 12.0, 0.0, 0.0, 18.0 ];
 	t.strictEqual( v, A, 'returns expected value' );
@@ -206,6 +226,7 @@ tape( 'the function supports ndarrays having non-zero offsets', function test( t
 	var alpha;
 	var xbuf;
 	var Abuf;
+	var uplo;
 	var x;
 	var A;
 	var v;
@@ -234,11 +255,14 @@ tape( 'the function supports ndarrays having non-zero offsets', function test( t
 		0.0
 	];
 	A = matrix( Abuf, 3, 3, 1, 2 );
+	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
+		'dtype': 'int8'
+	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
 	});
 
-	v = gsyr( [ x, A, alpha ] );
+	v = gsyr( [ x, A, uplo, alpha ] );
 
 	expected = [
 		999.0,

From 15bb83f650fe3152b618700a63172aff4737cfe1 Mon Sep 17 00:00:00 2001
From: Kaustubh Patange <kaustubh.mp007@gmail.com>
Date: Mon, 13 Jul 2026 15:53:09 +0530
Subject: [PATCH 03/10] Update
 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js

Signed-off-by: Kaustubh Patange <kaustubh.mp007@gmail.com>
---
 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
index 702160a57ff8..7845395918b2 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
@@ -77,7 +77,7 @@ function gsyr( arrays ) {
 	x = arrays[ 0 ];
 	A = arrays[ 1 ];
 
-	uplo = resolveStr( ndarraylike2scalar( arrays[ 2 ] ) );
+	uplo = ndarraylike2scalar( arrays[ 2 ] );
 	alpha = ndarraylike2scalar( arrays[ 3 ] );
 
 	strided( uplo, numelDimension( A, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ), getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ) );

From 28e7cc7ec931a873fc38102fbc193ed3e0adeafd Mon Sep 17 00:00:00 2001
From: Kaustubh Patange <kaustubh.mp007@gmail.com>
Date: Mon, 13 Jul 2026 15:53:19 +0530
Subject: [PATCH 04/10] Update
 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js

Signed-off-by: Kaustubh Patange <kaustubh.mp007@gmail.com>
---
 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js | 1 -
 1 file changed, 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
index 7845395918b2..07ab73e18253 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
@@ -25,7 +25,6 @@ var getStride = require( '@stdlib/ndarray/base/stride' );
 var getOffset = require( '@stdlib/ndarray/base/offset' );
 var getData = require( '@stdlib/ndarray/base/data-buffer' );
 var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
-var resolveStr = require( '@stdlib/blas/base/matrix-triangle-resolve-str' );
 var strided = require( '@stdlib/blas/base/gsyr' ).ndarray;
 
 

From a8abd6db87b4380ce044ba654142f229a23f7145 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 13 Jul 2026 21:54:35 +0530
Subject: [PATCH 05/10] fix: benchmark.js

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: na
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js       | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
index 6c620d1af19b..c209a4ea9fd0 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/array/uniform' );
+var uniform = require( '@stdlib/random/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );

From c6f634ef69b50ca26cfeecf91108f394df92453f Mon Sep 17 00:00:00 2001
From: Kaustubh Patange <kaustubh.mp007@gmail.com>
Date: Tue, 14 Jul 2026 13:29:12 +0530
Subject: [PATCH 06/10] Apply suggestions from code review

Co-authored-by: Kaustubh Patange <kaustubh.mp007@gmail.com>
Signed-off-by: Kaustubh Patange <kaustubh.mp007@gmail.com>
---
 .../@stdlib/blas/base/ndarray/gsyr/README.md    | 17 ++++++++---------
 .../base/ndarray/gsyr/docs/types/index.d.ts     |  4 ++--
 .../blas/base/ndarray/gsyr/examples/index.js    |  6 ++----
 .../@stdlib/blas/base/ndarray/gsyr/lib/index.js |  4 ++--
 .../@stdlib/blas/base/ndarray/gsyr/lib/main.js  |  4 ++--
 5 files changed, 16 insertions(+), 19 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
index 971eba2ffb66..e902f3673a32 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
@@ -40,6 +40,8 @@ var gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 
 Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is a one-dimensional ndarray, and `A` is an `N` by `N` symmetric matrix.
 
+<!-- eslint-disable max-len -->
+
 ```javascript
 var matrix = require( '@stdlib/ndarray/matrix/ctor' );
 var vector = require( '@stdlib/ndarray/vector/ctor' );
@@ -56,10 +58,10 @@ var alpha = scalar2ndarray( 2.0, {
     'dtype': 'generic'
 });
 
-var out = gsyr( [ x, A, uplo, alpha ] );
+var y = gsyr( [ x, A, uplo, alpha ] );
 // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 
-var bool = ( out === A );
+var bool = ( y === A );
 // returns true
 ```
 
@@ -86,12 +88,12 @@ The function has the following parameters:
 
 ## Examples
 
+<!-- eslint-disable max-len -->
+
 <!-- eslint no-undef: "error" -->
 
 ```javascript
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
-var matrix = require( '@stdlib/ndarray/matrix/ctor' );
-var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
@@ -101,11 +103,8 @@ var opts = {
     'dtype': 'generic'
 };
 
-var x = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
-console.log( ndarray2array( x ) );
-
-var A = matrix( ndarray2array( discreteUniform( [ 3, 3 ], 0, 10, opts ) ), 'generic' );
-console.log( ndarray2array( A ) );
+var x = discreteUniform( [ 3 ], 0, 10, opts );
+var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
 
 var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
     'dtype': 'int8'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
index 8fb14f717709..eddabc40eca1 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
@@ -53,10 +53,10 @@ import { typedndarray } from '@stdlib/types/ndarray';
 *     'dtype': 'generic'
 * });
 *
-* var out = gsyr( [ x, A, uplo, alpha ] );
+* var y = gsyr( [ x, A, uplo, alpha ] );
 * // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 *
-* var bool = ( out === A );
+* var bool = ( y === A );
 * // returns true
 */
 declare function gsyr<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, typedndarray<number>, typedndarray<number> ] ): U;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
index c3c390c0be10..68aa62e92393 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
@@ -19,8 +19,6 @@
 'use strict';
 
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
-var matrix = require( '@stdlib/ndarray/matrix/ctor' );
-var vector = require( '@stdlib/ndarray/vector/ctor' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
@@ -30,8 +28,8 @@ var opts = {
 	'dtype': 'generic'
 };
 
-var x = vector( ndarray2array( discreteUniform( [ 3 ], 0, 10, opts ) ), 'generic' );
-var A = matrix( ndarray2array( discreteUniform( [ 3, 3 ], 0, 10, opts ) ), 'generic' );
+var x = discreteUniform( [ 3 ], 0, 10, opts );
+var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
 
 var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
 	'dtype': 'int8'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
index 2758f5f95ceb..4b94ac54513a 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
@@ -40,10 +40,10 @@
 *     'dtype': 'generic'
 * });
 *
-* var out = gsyr( [ x, A, uplo, alpha ] );
+* var y = gsyr( [ x, A, uplo, alpha ] );
 * // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 *
-* var bool = ( out === A );
+* var bool = ( y === A );
 * // returns true
 */
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
index 07ab73e18253..ce352c46be98 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
@@ -61,10 +61,10 @@ var strided = require( '@stdlib/blas/base/gsyr' ).ndarray;
 *     'dtype': 'generic'
 * });
 *
-* var out = gsyr( [ x, A, uplo, alpha ] );
+* var y = gsyr( [ x, A, uplo, alpha ] );
 * // returns <ndarray>[ [ 3.0, 6.0, 9.0 ], [ 2.0, 9.0, 14.0 ], [ 3.0, 2.0, 19.0 ] ]
 *
-* var bool = ( out === A );
+* var bool = ( y === A );
 * // returns true
 */
 function gsyr( arrays ) {

From ab84e61a72f8b4a156b37c71f7e4a18e176086ae Mon Sep 17 00:00:00 2001
From: Kaustubh Patange <kaustubh.mp007@gmail.com>
Date: Tue, 14 Jul 2026 13:35:32 +0530
Subject: [PATCH 07/10] Update
 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts

Signed-off-by: Kaustubh Patange <kaustubh.mp007@gmail.com>
---
 .../@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
index eddabc40eca1..da62a4556a92 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
@@ -59,7 +59,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * var bool = ( y === A );
 * // returns true
 */
-declare function gsyr<T extends typedndarray<number> = typedndarray<number>, U extends typedndarray<number> = typedndarray<number>>( arrays: [ T, U, typedndarray<number>, typedndarray<number> ] ): U;
+declare function gsyr<T extends typedndarray<number> = typedndarray<number>>( arrays: [ typedndarray<number>, T, typedndarray<number>, typedndarray<number> ] ): T;
 
 
 // EXPORTS //

From e995fe5c5a6202779cc3b1e1a09cfc672ee01cd3 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sat, 18 Jul 2026 13:40:16 +0530
Subject: [PATCH 08/10] fix: replace int8 with int32

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: passed
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: passed
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/base/ndarray/gsyr/README.md         |  4 ++--
 .../blas/base/ndarray/gsyr/benchmark/benchmark.js    |  2 +-
 .../blas/base/ndarray/gsyr/docs/types/index.d.ts     |  2 +-
 .../blas/base/ndarray/gsyr/docs/types/test.ts        |  4 ++--
 .../@stdlib/blas/base/ndarray/gsyr/examples/index.js |  2 +-
 .../@stdlib/blas/base/ndarray/gsyr/lib/index.js      |  2 +-
 .../@stdlib/blas/base/ndarray/gsyr/lib/main.js       |  2 +-
 .../@stdlib/blas/base/ndarray/gsyr/test/test.js      | 12 ++++++------
 8 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
index e902f3673a32..44471ce4877d 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
@@ -52,7 +52,7 @@ var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 
 var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-    'dtype': 'int8'
+    'dtype': 'int32'
 });
 var alpha = scalar2ndarray( 2.0, {
     'dtype': 'generic'
@@ -107,7 +107,7 @@ var x = discreteUniform( [ 3 ], 0, 10, opts );
 var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
 
 var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-    'dtype': 'int8'
+    'dtype': 'int32'
 });
 var alpha = scalar2ndarray( 1.0, opts );
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
index c209a4ea9fd0..74dfe0007b29 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
@@ -57,7 +57,7 @@ function createBenchmark( len ) {
 	A = uniform( [ len, len ], -100.0, 100.0, options );
 
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	alpha = scalar2ndarray( 1.0, options );
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
index da62a4556a92..829fd2177885 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
@@ -47,7 +47,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 *
 * var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-*     'dtype': 'int8'
+*     'dtype': 'int32'
 * });
 * var alpha = scalar2ndarray( 2.0, {
 *     'dtype': 'generic'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
index e7f0b2363fb7..7b96902f7678 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/test.ts
@@ -33,7 +33,7 @@ import gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 		'dtype': 'generic'
 	});
 	const uplo = zeros( [], {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	const alpha = zeros( [], {
 		'dtype': 'generic'
@@ -64,7 +64,7 @@ import gsyr = require( '@stdlib/blas/base/ndarray/gsyr' );
 		'dtype': 'generic'
 	});
 	const uplo = zeros( [], {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	const alpha = zeros( [], {
 		'dtype': 'generic'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
index 68aa62e92393..14abff873f0e 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
@@ -32,7 +32,7 @@ var x = discreteUniform( [ 3 ], 0, 10, opts );
 var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
 
 var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-	'dtype': 'int8'
+	'dtype': 'int32'
 });
 var alpha = scalar2ndarray( 1.0, opts );
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
index 4b94ac54513a..a17112a87340 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/index.js
@@ -34,7 +34,7 @@
 * var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 *
 * var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-*     'dtype': 'int8'
+*     'dtype': 'int32'
 * });
 * var alpha = scalar2ndarray( 2.0, {
 *     'dtype': 'generic'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
index ce352c46be98..e9343012f255 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/lib/main.js
@@ -55,7 +55,7 @@ var strided = require( '@stdlib/blas/base/gsyr' ).ndarray;
 * var A = matrix( [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ], 'generic' );
 *
 * var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-*     'dtype': 'int8'
+*     'dtype': 'int32'
 * });
 * var alpha = scalar2ndarray( 2.0, {
 *     'dtype': 'generic'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
index 09cd5a2b3e50..5151be74275c 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/test/test.js
@@ -89,7 +89,7 @@ tape( 'the function performs the symmetric rank 1 operation `A = alpha*x*x^T + A
 	x = vector( xbuf, 3, 1, 0 );
 	A = matrix( Abuf, 3, 3, 1, 0 );
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
@@ -106,7 +106,7 @@ tape( 'the function performs the symmetric rank 1 operation `A = alpha*x*x^T + A
 	x = vector( xbuf, 3, 1, 0 );
 	A = matrix( Abuf, 3, 1, 3, 0 );
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
@@ -136,7 +136,7 @@ tape( 'if `alpha` is `0`, the function returns `A` unchanged', function test( t
 	x = vector( xbuf, 3, 1, 0 );
 	A = matrix( Abuf, 3, 3, 1, 0 );
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	alpha = scalar2ndarray( 0.0, {
 		'dtype': 'generic'
@@ -173,7 +173,7 @@ tape( 'the function supports ndarrays having non-unit strides', function test( t
 	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
 	A = matrix( Abuf, 3, 3, 1, 0 );
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
@@ -207,7 +207,7 @@ tape( 'the function supports ndarrays having negative strides', function test( t
 	Abuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
 	A = matrix( Abuf, 3, 3, 1, 0 );
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'
@@ -256,7 +256,7 @@ tape( 'the function supports ndarrays having non-zero offsets', function test( t
 	];
 	A = matrix( Abuf, 3, 3, 1, 2 );
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
-		'dtype': 'int8'
+		'dtype': 'int32'
 	});
 	alpha = scalar2ndarray( 2.0, {
 		'dtype': 'generic'

From c47649b223b1fc341c28ada750685831bb44a032 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sat, 18 Jul 2026 20:21:52 -0700
Subject: [PATCH 09/10] Apply suggestions from code review

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

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
index 829fd2177885..834c4459e529 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/docs/types/index.d.ts
@@ -20,7 +20,7 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { typedndarray } from '@stdlib/types/ndarray';
+import { typedndarray, ndarray } from '@stdlib/types/ndarray';
 
 /**
 * Performs the symmetric rank 1 operation `A = alpha*x*x^T + A`, where `alpha` is a scalar, `x` is a one-dimensional ndarray, and `A` is an `N` by `N` symmetric matrix.
@@ -59,7 +59,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * var bool = ( y === A );
 * // returns true
 */
-declare function gsyr<T extends typedndarray<number> = typedndarray<number>>( arrays: [ typedndarray<number>, T, typedndarray<number>, typedndarray<number> ] ): T;
+declare function gsyr<T extends typedndarray<number> = typedndarray<number>>( arrays: [ typedndarray<number>, T, ndarray, typedndarray<number> ] ): T;
 
 
 // EXPORTS //

From edda92a61cc0553d5dd8f79c0dc822dcf345fcbe Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Sat, 18 Jul 2026 20:41:38 -0700
Subject: [PATCH 10/10] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md      | 3 ++-
 .../@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js      | 3 ++-
 .../@stdlib/blas/base/ndarray/gsyr/examples/index.js           | 3 ++-
 3 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
index 44471ce4877d..145978a416e8 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/README.md
@@ -94,6 +94,7 @@ The function has the following parameters:
 
 ```javascript
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
@@ -104,7 +105,7 @@ var opts = {
 };
 
 var x = discreteUniform( [ 3 ], 0, 10, opts );
-var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var A = zeros( [ 3, 3 ], opts );
 
 var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
     'dtype': 'int32'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
index 74dfe0007b29..d8cdf6f150b1 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/benchmark/benchmark.js
@@ -22,6 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var uniform = require( '@stdlib/random/uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
@@ -54,7 +55,7 @@ function createBenchmark( len ) {
 	var A;
 
 	x = uniform( [ len ], -100.0, 100.0, options );
-	A = uniform( [ len, len ], -100.0, 100.0, options );
+	A = zeros( [ len, len ], options );
 
 	uplo = scalar2ndarray( resolveEnum( 'upper' ), {
 		'dtype': 'int32'
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
index 14abff873f0e..731932d14569 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/gsyr/examples/index.js
@@ -19,6 +19,7 @@
 'use strict';
 
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var resolveEnum = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
@@ -29,7 +30,7 @@ var opts = {
 };
 
 var x = discreteUniform( [ 3 ], 0, 10, opts );
-var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var A = zeros( [ 3, 3 ], opts );
 
 var uplo = scalar2ndarray( resolveEnum( 'upper' ), {
 	'dtype': 'int32'