From 4d35bb199eb6ad782f1a01d06bcf07ebe2f350c6 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Mon, 22 Jun 2026 22:41:54 +0530
Subject: [PATCH 1/4] feat: add blas/base/ndarray/dtrmv

---
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description: Results of running static analysis checks when committing changes.
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---
---
 .../@stdlib/blas/base/ndarray/dtrmv/README.md | 118 +++++++++++
 .../base/ndarray/dtrmv/benchmark/benchmark.js | 108 ++++++++++
 .../blas/base/ndarray/dtrmv/docs/repl.txt     |  34 +++
 .../base/ndarray/dtrmv/docs/types/index.d.ts  |  57 +++++
 .../base/ndarray/dtrmv/docs/types/test.ts     |  63 ++++++
 .../blas/base/ndarray/dtrmv/examples/index.js |  36 ++++
 .../blas/base/ndarray/dtrmv/lib/index.js      |  49 +++++
 .../blas/base/ndarray/dtrmv/lib/main.js       |  69 ++++++
 .../blas/base/ndarray/dtrmv/package.json      |  72 +++++++
 .../blas/base/ndarray/dtrmv/test/test.js      | 198 ++++++++++++++++++
 10 files changed, 804 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
new file mode 100644
index 000000000000..61d14731f3e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
@@ -0,0 +1,118 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# dtrmv
+
+> Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
+```
+
+#### dtrmv( arrays )
+
+Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var Float64Array = require( '@stdlib/array/float64' );
+
+var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
+// x => <ndarray>[ 14.0, 8.0, 3.0 ]
+
+var bool = ( out === x );
+// 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.
+
+</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 ndarray = require( '@stdlib/ndarray/base/ctor' );
+var Float64Array = require( '@stdlib/array/float64' );
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
+
+var opts = {
+    'dtype': 'float64'
+};
+
+var x = new Float64Vector( discreteUniform( 3, 0, 10, opts ) );
+var A = new ndarray( 'float64', new Float64Array( discreteUniform( 9, 0, 10, opts ) ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+var out = dtrmv( [ x, A ] );
+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/dtrmv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
new file mode 100644
index 000000000000..30bdd2cada3b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
@@ -0,0 +1,108 @@
+/**
+* @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 ones = require( '@stdlib/ndarray/ones' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dtrmv = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var x;
+	var A;
+
+	x = ones( [ len ], options );
+	A = ones( [ len, len ], 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 = dtrmv( [ x, A ] );
+			if ( typeof z !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( z.get( 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/dtrmv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/repl.txt
new file mode 100644
index 000000000000..1d08443b482e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/repl.txt
@@ -0,0 +1,34 @@
+
+{{alias}}( arrays )
+    Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where
+    `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit,
+    upper or lower triangular matrix.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a two-dimensional input ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 1.0, 2.0 ] );
+    > var buf = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 0.0, 1.0 ] );
+    > var sh = [ 2, 2 ];
+    > var st = [ 2, 1 ];
+    > var A = new {{alias:@stdlib/ndarray/base/ctor}}( 'float64', buf, sh, st, 0, 'row-major' );
+
+    > {{alias}}( [ x, A ] );
+    > x
+    <ndarray>[ 5.0, 2.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts
new file mode 100644
index 000000000000..069d16ac8e35
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts
@@ -0,0 +1,57 @@
+/*
+* @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 { float64ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional input ndarray.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+* var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
+* // returns <ndarray>[ 14.0, 8.0, 3.0 ]
+*
+* var bool = ( out === x );
+* // returns true
+*/
+declare function dtrmv( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dtrmv;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts
new file mode 100644
index 000000000000..220a9afc0fd0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts
@@ -0,0 +1,63 @@
+/*
+* @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 dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 3 ], {
+		'dtype': 'float64'
+	});
+	const A = zeros( [ 3, 3 ], {
+		'dtype': 'float64'
+	});
+
+	dtrmv( [ x, A ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	dtrmv( '10' ); // $ExpectError
+	dtrmv( 10 ); // $ExpectError
+	dtrmv( true ); // $ExpectError
+	dtrmv( false ); // $ExpectError
+	dtrmv( null ); // $ExpectError
+	dtrmv( undefined ); // $ExpectError
+	dtrmv( [] ); // $ExpectError
+	dtrmv( {} ); // $ExpectError
+	dtrmv( ( 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': 'float64'
+	});
+	const A = zeros( [ 3, 3 ], {
+		'dtype': 'float64'
+	});
+
+	dtrmv(); // $ExpectError
+	dtrmv( [ x, A ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
new file mode 100644
index 000000000000..a197022c25b9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
@@ -0,0 +1,36 @@
+/**
+* @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 Float64Array = require( '@stdlib/array/float64' );
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dtrmv = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+
+var x = new Float64Vector( discreteUniform( 3, 0, 10, opts ) );
+var A = new ndarray( 'float64', new Float64Array( discreteUniform( 9, 0, 10, opts ) ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+
+var out = dtrmv( [ x, A ] );
+console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js
new file mode 100644
index 000000000000..4329a4fc8545
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js
@@ -0,0 +1,49 @@
+/**
+* @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 one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+*
+* @module @stdlib/blas/base/ndarray/dtrmv
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+* var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
+* // returns <ndarray>[ 14.0, 8.0, 3.0 ]
+*
+* var bool = ( out === x );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
new file mode 100644
index 000000000000..b74d7e152b52
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
@@ -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.
+*/
+
+'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 strided = require( '@stdlib/blas/base/dtrmv' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional input ndarray.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {Object} output ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var ndarray = require( '@stdlib/ndarray/base/ctor' );
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
+* var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
+* // returns <ndarray>[ 14.0, 8.0, 3.0 ]
+*
+* var bool = ( out === x );
+* // returns true
+*/
+function dtrmv( arrays ) {
+	var x = arrays[ 0 ];
+	var A = arrays[ 1 ];
+	strided( 'upper', 'no-transpose', 'non-unit', numelDimension( A, 0 ), getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ) );
+	return x;
+}
+
+
+// EXPORTS //
+
+module.exports = dtrmv;
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json
new file mode 100644
index 000000000000..63f91815d546
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json
@@ -0,0 +1,72 @@
+{
+  "name": "@stdlib/blas/base/ndarray/dtrmv",
+  "version": "0.0.0",
+  "description": "Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.",
+  "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",
+    "dtrmv",
+    "linear",
+    "algebra",
+    "subroutines",
+    "triangular",
+    "multiplication",
+    "vector",
+    "matrix",
+    "array",
+    "ndarray",
+    "float64",
+    "double",
+    "float64array"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
new file mode 100644
index 000000000000..d4e97c38d0a4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
@@ -0,0 +1,198 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var dtrmv = 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( 'float64', 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( 'float64', 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 dtrmv, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( dtrmv.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `x = A*x`', function test( t ) {
+	var expected;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	Abuf = new Float64Array( [ 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 );
+
+	v = dtrmv( [ x, A ] );
+
+	expected = new Float64Array( [ 14.0, 28.0, 27.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-unit strides', function test( t ) {
+	var expected;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = new Float64Array([
+		1.0, // 0
+		0.0,
+		2.0, // 1
+		0.0,
+		3.0  // 2
+	]);
+	x = vector( xbuf, 3, 2, 0 );
+
+	Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
+	A = matrix( Abuf, 3, 3, 1, 0 );
+
+	v = dtrmv( [ x, A ] );
+
+	expected = new Float64Array( [ 14.0, 0.0, 28.0, 0.0, 27.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having negative strides', function test( t ) {
+	var expected;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = new Float64Array([
+		3.0, // 2
+		2.0, // 1
+		1.0  // 0
+	]);
+	x = vector( xbuf, 3, -1, 2 );
+
+	Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
+	A = matrix( Abuf, 3, 3, 1, 0 );
+
+	v = dtrmv( [ x, A ] );
+
+	expected = new Float64Array( [ 27.0, 28.0, 14.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = new Float64Array([
+		0.0,
+		1.0, // 0
+		0.0,
+		2.0, // 1
+		0.0,
+		3.0  // 2
+	]);
+	x = vector( xbuf, 3, 2, 1 );
+
+	Abuf = new Float64Array([
+		999.0,
+		999.0,
+		1.0,
+		2.0,
+		3.0,
+		4.0,
+		5.0,
+		6.0,
+		7.0,
+		8.0,
+		9.0
+	]);
+	A = matrix( Abuf, 3, 3, 1, 2 );
+
+	v = dtrmv( [ x, A ] );
+
+	expected = new Float64Array([
+		0.0,
+		14.0,
+		0.0,
+		28.0,
+		0.0,
+		27.0
+	]);
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});

From 102d8add803707105a19bab2c08acb86c8043ba8 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Fri, 17 Jul 2026 20:21:00 +0530
Subject: [PATCH 2/4] feat: add float64Matrix 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: passed
  - 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/dtrmv/README.md |  58 ++++--
 .../base/ndarray/dtrmv/benchmark/benchmark.js |  20 +-
 .../blas/base/ndarray/dtrmv/docs/repl.txt     |  30 ++-
 .../base/ndarray/dtrmv/docs/types/index.d.ts  |  36 +++-
 .../base/ndarray/dtrmv/docs/types/test.ts     |  30 ++-
 .../blas/base/ndarray/dtrmv/examples/index.js |  22 ++-
 .../blas/base/ndarray/dtrmv/lib/index.js      |  23 ++-
 .../blas/base/ndarray/dtrmv/lib/main.js       |  59 ++++--
 .../blas/base/ndarray/dtrmv/package.json      |   2 +-
 .../blas/base/ndarray/dtrmv/test/test.js      | 175 +++++++++++++++++-
 10 files changed, 376 insertions(+), 79 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
index 61d14731f3e0..f7d00807e906 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
@@ -20,7 +20,7 @@ limitations under the License.
 
 # dtrmv
 
-> Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+> Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x` for a triangular matrix `A`.
 
 <section class="intro">
 
@@ -38,18 +38,33 @@ var dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
 
 #### dtrmv( arrays )
 
-Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is a one-dimensional ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+
+<!-- eslint-disable max-len -->
 
 ```javascript
+var Float64Matrix = require( '@stdlib/ndarray/matrix/float64' );
 var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
-var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 
+var A = new Float64Matrix( [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] );
 var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
-var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
-// x => <ndarray>[ 14.0, 8.0, 3.0 ]
+var uplo = scalar2ndarray( resolveTriangle( 'upper' ), {
+    'dtype': 'int32'
+});
+var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+    'dtype': 'int32'
+});
+var diag = scalar2ndarray( resolveDiagonal( 'unit' ), {
+    'dtype': 'int32'
+});
+
+var out = dtrmv( [ A, x, uplo, trans, diag ] );
+// returns <ndarray>[ 14.0, 8.0, 3.0 ]
 
 var bool = ( out === x );
 // returns true
@@ -59,8 +74,11 @@ 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 two-dimensional input ndarray corresponding to `A`.
+    -   a one-dimensional input/output ndarray corresponding to `x`.
+    -   a zero-dimensional ndarray specifying whether `A` is an upper or lower triangular matrix.
+    -   a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed.
+    -   a zero-dimensional ndarray specifying whether `A` has a unit or non-unit diagonal.
 
 </section>
 
@@ -79,21 +97,29 @@ The function has the following parameters:
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
 
 var opts = {
     'dtype': 'float64'
 };
+var eopts = {
+    'dtype': 'int32'
+};
+
+var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var x = discreteUniform( [ 3 ], 0, 10, opts );
 
-var x = new Float64Vector( discreteUniform( 3, 0, 10, opts ) );
-var A = new ndarray( 'float64', new Float64Array( discreteUniform( 9, 0, 10, opts ) ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+var uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts );
+var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts );
+var diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts );
 
-var out = dtrmv( [ x, A ] );
+var out = dtrmv( [ A, x, uplo, trans, diag ] );
 console.log( ndarray2array( out ) );
 ```
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
index 30bdd2cada3b..46193d1579a2 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
@@ -24,6 +24,10 @@ var bench = require( '@stdlib/bench' );
 var ones = require( '@stdlib/ndarray/ones' );
 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 resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var dtrmv = require( './../lib' );
@@ -34,6 +38,9 @@ var dtrmv = require( './../lib' );
 var options = {
 	'dtype': 'float64'
 };
+var eopts = {
+	'dtype': 'int32'
+};
 
 
 // FUNCTIONS //
@@ -46,11 +53,18 @@ var options = {
 * @returns {Function} benchmark function
 */
 function createBenchmark( len ) {
-	var x;
+	var trans;
+	var uplo;
+	var diag;
 	var A;
+	var x;
 
-	x = ones( [ len ], options );
 	A = ones( [ len, len ], options );
+	x = ones( [ len ], options );
+
+	uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts );
+	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts );
+	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts );
 
 	return benchmark;
 
@@ -66,7 +80,7 @@ function createBenchmark( len ) {
 
 		b.tic();
 		for ( i = 0; i < b.iterations; i++ ) {
-			z = dtrmv( [ x, A ] );
+			z = dtrmv( [ A, x, uplo, trans, diag ] );
 			if ( typeof z !== 'object' ) {
 				b.fail( 'should return an ndarray' );
 			}
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/repl.txt
index 1d08443b482e..642dc6d8fc7d 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/repl.txt
@@ -1,7 +1,7 @@
 
 {{alias}}( arrays )
-    Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where
-    `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit,
+    Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where
+    `x` is a one-dimensional ndarray and `A` is an `N` by `N` unit, or non-unit,
     upper or lower triangular matrix.
 
     Parameters
@@ -9,8 +9,14 @@
     arrays: ArrayLikeObject<ndarray>
         Array-like object containing the following ndarrays:
 
-        - a one-dimensional input ndarray.
-        - a two-dimensional input ndarray.
+        - a two-dimensional input ndarray corresponding to `A`.
+        - a one-dimensional input/output ndarray corresponding to `x`.
+        - a zero-dimensional ndarray specifying whether `A` is an upper or lower
+        triangular matrix.
+        - a zero-dimensional ndarray specifying whether `A` should be
+        transposed, conjugate-transposed, or not transposed.
+        - a zero-dimensional ndarray specifying whether `A` has a unit or non-
+        unit diagonal.
 
     Returns
     -------
@@ -19,13 +25,17 @@
 
     Examples
     --------
-    > var x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 1.0, 2.0 ] );
-    > var buf = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 0.0, 1.0 ] );
-    > var sh = [ 2, 2 ];
-    > var st = [ 2, 1 ];
-    > var A = new {{alias:@stdlib/ndarray/base/ctor}}( 'float64', buf, sh, st, 0, 'row-major' );
+    > var abuf = [ [ 1.0, 2.0 ], [ 0.0, 1.0 ] ];
+    > var A = new {{alias:@stdlib/ndarray/matrix/float64}}( abuf );
 
-    > {{alias}}( [ x, A ] );
+    > var xbuf = [ 1.0, 2.0 ];
+    > var x = new {{alias:@stdlib/ndarray/vector/float64}}( xbuf );
+
+    > var uplo = {{alias:@stdlib/ndarray/from-scalar}}( 'upper' );
+    > var trans = {{alias:@stdlib/ndarray/from-scalar}}( 'no-transpose' );
+    > var diag = {{alias:@stdlib/ndarray/from-scalar}}( 'non-unit' );
+
+    > {{alias}}( [ A, x, uplo, trans, diag ] );
     > x
     <ndarray>[ 5.0, 2.0 ]
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts
index 069d16ac8e35..6020e2f2ccfd 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/index.d.ts
@@ -20,36 +20,52 @@
 
 /// <reference types="@stdlib/types"/>
 
-import { float64ndarray } from '@stdlib/types/ndarray';
+import { float64ndarray, ndarray } from '@stdlib/types/ndarray';
 
 /**
-* Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+* Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is a one-dimensional ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
 *
 * ## Notes
 *
 * -   The function expects the following ndarrays:
 *
-*     -   a one-dimensional input ndarray.
-*     -   a two-dimensional input ndarray.
+*     -   a two-dimensional input ndarray corresponding to `A`.
+*     -   a one-dimensional input/output ndarray corresponding to `x`.
+*     -   a zero-dimensional ndarray specifying whether `A` is an upper or lower triangular matrix.
+*     -   a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed.
+*     -   a zero-dimensional ndarray specifying whether `A` has a unit or non-unit diagonal.
 *
 * @param arrays - array-like object containing ndarrays
 * @returns output ndarray
 *
 * @example
+* var Float64Matrix = require( '@stdlib/ndarray/matrix/float64' );
 * var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
-* var Float64Array = require( '@stdlib/array/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+* var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+* var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 *
+* var A = new Float64Matrix( [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] );
 * var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
-* var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
+* var uplo = scalar2ndarray( resolveTriangle( 'upper' ), {
+*     'dtype': 'int32'
+* });
+* var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+*     'dtype': 'int32'
+* });
+* var diag = scalar2ndarray( resolveDiagonal( 'unit' ), {
+*     'dtype': 'int32'
+* });
+*
+* var z = dtrmv( [ A, x, uplo, trans, diag ] );
 * // returns <ndarray>[ 14.0, 8.0, 3.0 ]
 *
-* var bool = ( out === x );
+* var bool = ( z === x );
 * // returns true
 */
-declare function dtrmv( arrays: [ float64ndarray, float64ndarray ] ): float64ndarray;
+declare function dtrmv( arrays: [ float64ndarray, float64ndarray, ndarray, ndarray, ndarray ] ): float64ndarray;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts
index 220a9afc0fd0..8d059efea72d 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/docs/types/test.ts
@@ -26,14 +26,23 @@ import dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
 
 // The function returns an ndarray...
 {
-	const x = zeros( [ 3 ], {
+	const A = zeros( [ 3, 3 ], {
 		'dtype': 'float64'
 	});
-	const A = zeros( [ 3, 3 ], {
+	const x = zeros( [ 3 ], {
 		'dtype': 'float64'
 	});
+	const uplo = zeros( [], {
+		'dtype': 'int32'
+	});
+	const trans = zeros( [], {
+		'dtype': 'int32'
+	});
+	const diag = zeros( [], {
+		'dtype': 'int32'
+	});
 
-	dtrmv( [ x, A ] ); // $ExpectType float64ndarray
+	dtrmv( [ A, x, uplo, trans, diag ] ); // $ExpectType float64ndarray
 }
 
 // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
@@ -51,13 +60,22 @@ import dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
 
 // The compiler throws an error if the function is provided an unsupported number of arguments...
 {
-	const x = zeros( [ 3 ], {
+	const A = zeros( [ 3, 3 ], {
 		'dtype': 'float64'
 	});
-	const A = zeros( [ 3, 3 ], {
+	const x = zeros( [ 3 ], {
 		'dtype': 'float64'
 	});
+	const uplo = zeros( [], {
+		'dtype': 'int32'
+	});
+	const trans = zeros( [], {
+		'dtype': 'int32'
+	});
+	const diag = zeros( [], {
+		'dtype': 'int32'
+	});
 
 	dtrmv(); // $ExpectError
-	dtrmv( [ x, A ], {} ); // $ExpectError
+	dtrmv( [ A, x, uplo, trans, diag ], {} ); // $ExpectError
 }
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
index a197022c25b9..9bc4f6dbbf25 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
@@ -18,19 +18,27 @@
 
 'use strict';
 
-var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
-var ndarray = require( '@stdlib/ndarray/base/ctor' );
-var Float64Array = require( '@stdlib/array/float64' );
-var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dtrmv = require( './../lib' );
 
 var opts = {
 	'dtype': 'float64'
 };
+var eopts = {
+	'dtype': 'int32'
+};
+
+var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var x = discreteUniform( [ 3 ], 0, 10, opts );
 
-var x = new Float64Vector( discreteUniform( 3, 0, 10, opts ) );
-var A = new ndarray( 'float64', new Float64Array( discreteUniform( 9, 0, 10, opts ) ), [ 3, 3 ], [ 3, 1 ], 0, 'row-major' );
+var uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts );
+var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts );
+var diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts );
 
-var out = dtrmv( [ x, A ] );
+var out = dtrmv( [ A, x, uplo, trans, diag ] );
 console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js
index 4329a4fc8545..1c323f61df01 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/index.js
@@ -19,20 +19,33 @@
 'use strict';
 
 /**
-* BLAS level 2 routine to perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+* BLAS level 2 routine to perform one of the matrix-vector operations `x = A*x` or `x = A^T*x` for a triangular matrix `A`.
 *
 * @module @stdlib/blas/base/ndarray/dtrmv
 *
 * @example
+* var Float64Matrix = require( '@stdlib/ndarray/matrix/float64' );
 * var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
-* var Float64Array = require( '@stdlib/array/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+* var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+* var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 * var dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
 *
+* var A = new Float64Matrix( [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] );
 * var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
-* var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
+* var uplo = scalar2ndarray( resolveTriangle( 'upper' ), {
+*     'dtype': 'int32'
+* });
+* var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+*     'dtype': 'int32'
+* });
+* var diag = scalar2ndarray( resolveDiagonal( 'unit' ), {
+*     'dtype': 'int32'
+* });
+*
+* var out = dtrmv( [ A, x, uplo, trans, diag ] );
 * // returns <ndarray>[ 14.0, 8.0, 3.0 ]
 *
 * var bool = ( out === x );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
index b74d7e152b52..22ccdc5ddedf 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
@@ -20,46 +20,81 @@
 
 // MODULES //
 
-var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getShape = require( '@stdlib/ndarray/base/shape' );
+var getStrides = require( '@stdlib/ndarray/base/strides' );
 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/dtrmv' ).ndarray;
 
 
 // MAIN //
 
 /**
-* Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
+* Performs one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is a one-dimensional ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.
 *
 * ## Notes
 *
 * -   The function expects the following ndarrays:
 *
-*     -   a one-dimensional input ndarray.
-*     -   a two-dimensional input ndarray.
+*     -   a two-dimensional input ndarray corresponding to `A`.
+*     -   a one-dimensional input/output ndarray corresponding to `x`.
+*     -   a zero-dimensional ndarray specifying whether `A` is an upper or lower triangular matrix.
+*     -   a zero-dimensional ndarray specifying whether `A` should be transposed, conjugate-transposed, or not transposed.
+*     -   a zero-dimensional ndarray specifying whether `A` has a unit or non-unit diagonal.
 *
 * @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
 * @returns {Object} output ndarray
 *
 * @example
+* var Float64Matrix = require( '@stdlib/ndarray/matrix/float64' );
 * var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
-* var ndarray = require( '@stdlib/ndarray/base/ctor' );
-* var Float64Array = require( '@stdlib/array/float64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+* var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+* var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 *
+* var A = new Float64Matrix( [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] );
 * var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] );
-* var A = new ndarray( 'float64', new Float64Array( [ 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 out = dtrmv( [ x, A ] );
+* var uplo = scalar2ndarray( resolveTriangle( 'upper' ), {
+*     'dtype': 'int32'
+* });
+* var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+*     'dtype': 'int32'
+* });
+* var diag = scalar2ndarray( resolveDiagonal( 'unit' ), {
+*     'dtype': 'int32'
+* });
+*
+* var z = dtrmv( [ A, x, uplo, trans, diag ] );
 * // returns <ndarray>[ 14.0, 8.0, 3.0 ]
 *
-* var bool = ( out === x );
+* var bool = ( z === x );
 * // returns true
 */
 function dtrmv( arrays ) {
-	var x = arrays[ 0 ];
-	var A = arrays[ 1 ];
-	strided( 'upper', 'no-transpose', 'non-unit', numelDimension( A, 0 ), getData( A ), getStride( A, 0 ), getStride( A, 1 ), getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ) );
+	var trans;
+	var uplo;
+	var diag;
+	var sh;
+	var st;
+	var A;
+	var x;
+
+	A = arrays[ 0 ];
+	x = arrays[ 1 ];
+
+	uplo = ndarraylike2scalar( arrays[ 2 ] );
+	trans = ndarraylike2scalar( arrays[ 3 ] );
+	diag = ndarraylike2scalar( arrays[ 4 ] );
+
+	sh = getShape( A, false );
+	st = getStrides( A, false );
+
+	strided( uplo, trans, diag, sh[ 0 ], getData( A ), st[ 0 ], st[ 1 ], getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ) );
+
 	return x;
 }
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json
index 63f91815d546..85872658afd1 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/package.json
@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/blas/base/ndarray/dtrmv",
   "version": "0.0.0",
-  "description": "Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x`, where `x` is an `N` element ndarray and `A` is an `N` by `N` unit, or non-unit, upper or lower triangular matrix.",
+  "description": "Perform one of the matrix-vector operations `x = A*x` or `x = A^T*x` for a triangular matrix `A`.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
index d4e97c38d0a4..a4b75a3fd013 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
@@ -23,8 +23,12 @@
 var tape = require( 'tape' );
 var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
 var Float64Array = require( '@stdlib/array/float64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var getData = require( '@stdlib/ndarray/data-buffer' );
+var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
+var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
+var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
 var dtrmv = require( './../lib' );
 
 
@@ -73,8 +77,11 @@ tape( 'the function has an arity of 1', function test( t ) {
 	t.end();
 });
 
-tape( 'the function performs the matrix-vector operation `x = A*x`', function test( t ) {
+tape( 'the function performs the matrix-vector operation `x = A*x` (upper)', function test( t ) {
 	var expected;
+	var trans;
+	var uplo;
+	var diag;
 	var xbuf;
 	var Abuf;
 	var x;
@@ -85,8 +92,17 @@ tape( 'the function performs the matrix-vector operation `x = A*x`', function te
 	Abuf = new Float64Array( [ 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( resolveTriangle( 'upper' ), {
+		'dtype': 'int32'
+	});
+	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+		'dtype': 'int32'
+	});
+	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), {
+		'dtype': 'int32'
+	});
 
-	v = dtrmv( [ x, A ] );
+	v = dtrmv( [ A, x, uplo, trans, diag ] );
 
 	expected = new Float64Array( [ 14.0, 28.0, 27.0 ] );
 	t.strictEqual( v, x, 'returns expected value' );
@@ -95,8 +111,113 @@ tape( 'the function performs the matrix-vector operation `x = A*x`', function te
 	t.end();
 });
 
-tape( 'the function supports ndarrays having non-unit strides', function test( t ) {
+tape( 'the function performs the matrix-vector operation `x = A*x` (lower)', function test( t ) {
 	var expected;
+	var trans;
+	var uplo;
+	var diag;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	Abuf = new Float64Array( [ 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( resolveTriangle( 'lower' ), {
+		'dtype': 'int32'
+	});
+	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+		'dtype': 'int32'
+	});
+	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), {
+		'dtype': 'int32'
+	});
+
+	v = dtrmv( [ A, x, uplo, trans, diag ] );
+
+	expected = new Float64Array( [ 1.0, 14.0, 50.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `x = A^T*x`', function test( t ) {
+	var expected;
+	var trans;
+	var uplo;
+	var diag;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	Abuf = new Float64Array( [ 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( resolveTriangle( 'upper' ), {
+		'dtype': 'int32'
+	});
+	trans = scalar2ndarray( resolveTranspose( 'transpose' ), {
+		'dtype': 'int32'
+	});
+	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), {
+		'dtype': 'int32'
+	});
+
+	v = dtrmv( [ A, x, uplo, trans, diag ] );
+
+	expected = new Float64Array( [ 1.0, 12.0, 42.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports specifying that `A` has a unit diagonal', function test( t ) {
+	var expected;
+	var trans;
+	var uplo;
+	var diag;
+	var xbuf;
+	var Abuf;
+	var x;
+	var A;
+	var v;
+
+	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+	Abuf = new Float64Array( [ 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( resolveTriangle( 'upper' ), {
+		'dtype': 'int32'
+	});
+	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+		'dtype': 'int32'
+	});
+	diag = scalar2ndarray( resolveDiagonal( 'unit' ), {
+		'dtype': 'int32'
+	});
+
+	v = dtrmv( [ A, x, uplo, trans, diag ] );
+
+	expected = new Float64Array( [ 14.0, 20.0, 3.0 ] );
+	t.strictEqual( v, x, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-unit strides (upper)', function test( t ) {
+	var expected;
+	var trans;
+	var uplo;
+	var diag;
 	var xbuf;
 	var Abuf;
 	var x;
@@ -115,7 +236,17 @@ tape( 'the function supports ndarrays having non-unit strides', function test( t
 	Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
 	A = matrix( Abuf, 3, 3, 1, 0 );
 
-	v = dtrmv( [ x, A ] );
+	uplo = scalar2ndarray( resolveTriangle( 'upper' ), {
+		'dtype': 'int32'
+	});
+	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+		'dtype': 'int32'
+	});
+	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), {
+		'dtype': 'int32'
+	});
+
+	v = dtrmv( [ A, x, uplo, trans, diag ] );
 
 	expected = new Float64Array( [ 14.0, 0.0, 28.0, 0.0, 27.0 ] );
 	t.strictEqual( v, x, 'returns expected value' );
@@ -123,8 +254,11 @@ tape( 'the function supports ndarrays having non-unit strides', function test( t
 	t.end();
 });
 
-tape( 'the function supports ndarrays having negative strides', function test( t ) {
+tape( 'the function supports ndarrays having negative strides (lower)', function test( t ) {
 	var expected;
+	var trans;
+	var uplo;
+	var diag;
 	var xbuf;
 	var Abuf;
 	var x;
@@ -141,16 +275,29 @@ tape( 'the function supports ndarrays having negative strides', function test( t
 	Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
 	A = matrix( Abuf, 3, 3, 1, 0 );
 
-	v = dtrmv( [ x, A ] );
+	uplo = scalar2ndarray( resolveTriangle( 'lower' ), {
+		'dtype': 'int32'
+	});
+	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+		'dtype': 'int32'
+	});
+	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), {
+		'dtype': 'int32'
+	});
+
+	v = dtrmv( [ A, x, uplo, trans, diag ] );
 
-	expected = new Float64Array( [ 27.0, 28.0, 14.0 ] );
+	expected = new Float64Array( [ 50.0, 14.0, 1.0 ] );
 	t.strictEqual( v, x, 'returns expected value' );
 	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
 	t.end();
 });
 
-tape( 'the function supports ndarrays having non-zero offsets', function test( t ) {
+tape( 'the function supports ndarrays having non-zero offsets (upper)', function test( t ) {
 	var expected;
+	var trans;
+	var uplo;
+	var diag;
 	var xbuf;
 	var Abuf;
 	var x;
@@ -182,7 +329,17 @@ tape( 'the function supports ndarrays having non-zero offsets', function test( t
 	]);
 	A = matrix( Abuf, 3, 3, 1, 2 );
 
-	v = dtrmv( [ x, A ] );
+	uplo = scalar2ndarray( resolveTriangle( 'upper' ), {
+		'dtype': 'int32'
+	});
+	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), {
+		'dtype': 'int32'
+	});
+	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), {
+		'dtype': 'int32'
+	});
+
+	v = dtrmv( [ A, x, uplo, trans, diag ] );
 
 	expected = new Float64Array([
 		0.0,

From 4fb62d6eca7cf207a03fe88b664263e220a6b9ea Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 16 Aug 2026 12:50:09 +0530
Subject: [PATCH 3/4] fix: use correct signature

---
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: 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/dtrmv/README.md | 10 ++++++-
 .../base/ndarray/dtrmv/benchmark/benchmark.js | 28 +++++++++++++------
 .../blas/base/ndarray/dtrmv/examples/index.js | 10 ++++++-
 .../blas/base/ndarray/dtrmv/lib/main.js       |  6 ++--
 4 files changed, 39 insertions(+), 15 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
index f7d00807e906..29067c616d28 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/README.md
@@ -98,10 +98,12 @@ 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 resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
+var dtriu = require( '@stdlib/blas/ext/base/ndarray/dtriu' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dtrmv = require( '@stdlib/blas/base/ndarray/dtrmv' );
 
@@ -112,13 +114,19 @@ var eopts = {
     'dtype': 'int32'
 };
 
-var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var M = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var A = zeros( [ 3, 3 ], opts );
 var x = discreteUniform( [ 3 ], 0, 10, opts );
 
 var uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts );
 var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts );
 var diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts );
 
+var k = scalar2ndarray( 0, {
+    'dtype': 'generic'
+});
+dtriu( [ M, A, k ] );
+
 var out = dtrmv( [ A, x, uplo, trans, diag ] );
 console.log( ndarray2array( out ) );
 ```
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
index 46193d1579a2..304bfa223953 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
@@ -22,12 +22,14 @@
 
 var bench = require( '@stdlib/bench' );
 var ones = require( '@stdlib/ndarray/ones' );
+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' );
 var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
+var dtriu = require( '@stdlib/blas/ext/base/ndarray/dtriu' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var dtrmv = require( './../lib' );
@@ -49,18 +51,26 @@ var eopts = {
 * Creates a benchmark function.
 *
 * @private
-* @param {PositiveInteger} len - array length
+* @param {PositiveInteger} N - number of elements along each dimension
 * @returns {Function} benchmark function
 */
-function createBenchmark( len ) {
+function createBenchmark( N ) {
 	var trans;
 	var uplo;
 	var diag;
+	var M;
 	var A;
+	var k;
 	var x;
 
-	A = ones( [ len, len ], options );
-	x = ones( [ len ], options );
+	M = ones( [ N, N ], options );
+	A = zeros( [ N, N ], options );
+	k = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	dtriu( [ M, A, k ] );
+
+	x = ones( [ N ], options );
 
 	uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts );
 	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts );
@@ -86,7 +96,7 @@ function createBenchmark( len ) {
 			}
 		}
 		b.toc();
-		if ( isnan( z.get( i%len ) ) ) {
+		if ( isnan( z.get( i%N ) ) ) {
 			b.fail( 'should not return NaN' );
 		}
 		b.pass( 'benchmark finished' );
@@ -103,9 +113,9 @@ function createBenchmark( len ) {
 * @private
 */
 function main() {
-	var len;
 	var min;
 	var max;
+	var N;
 	var f;
 	var i;
 
@@ -113,9 +123,9 @@ function main() {
 	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 );
+		N = pow( 10, i );
+		f = createBenchmark( N );
+		bench( format( '%s:size=%d', pkg, N*N ), f );
 	}
 }
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
index 9bc4f6dbbf25..ecb13b0a1bb9 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/examples/index.js
@@ -19,10 +19,12 @@
 'use strict';
 
 var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 var resolveTriangle = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' );
 var resolveTranspose = require( '@stdlib/blas/base/transpose-operation-resolve-enum' );
 var resolveDiagonal = require( '@stdlib/blas/base/diagonal-type-resolve-enum' );
+var dtriu = require( '@stdlib/blas/ext/base/ndarray/dtriu' );
 var ndarray2array = require( '@stdlib/ndarray/to-array' );
 var dtrmv = require( './../lib' );
 
@@ -33,12 +35,18 @@ var eopts = {
 	'dtype': 'int32'
 };
 
-var A = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var M = discreteUniform( [ 3, 3 ], 0, 10, opts );
+var A = zeros( [ 3, 3 ], opts );
 var x = discreteUniform( [ 3 ], 0, 10, opts );
 
 var uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts );
 var trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts );
 var diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts );
 
+var k = scalar2ndarray( 0, {
+	'dtype': 'generic'
+});
+dtriu( [ M, A, k ] );
+
 var out = dtrmv( [ A, x, uplo, trans, diag ] );
 console.log( ndarray2array( out ) );
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
index 22ccdc5ddedf..64a5fe2c86d8 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/lib/main.js
@@ -20,7 +20,7 @@
 
 // MODULES //
 
-var getShape = require( '@stdlib/ndarray/base/shape' );
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
 var getStrides = require( '@stdlib/ndarray/base/strides' );
 var getStride = require( '@stdlib/ndarray/base/stride' );
 var getOffset = require( '@stdlib/ndarray/base/offset' );
@@ -78,7 +78,6 @@ function dtrmv( arrays ) {
 	var trans;
 	var uplo;
 	var diag;
-	var sh;
 	var st;
 	var A;
 	var x;
@@ -90,10 +89,9 @@ function dtrmv( arrays ) {
 	trans = ndarraylike2scalar( arrays[ 3 ] );
 	diag = ndarraylike2scalar( arrays[ 4 ] );
 
-	sh = getShape( A, false );
 	st = getStrides( A, false );
 
-	strided( uplo, trans, diag, sh[ 0 ], getData( A ), st[ 0 ], st[ 1 ], getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ) );
+	strided( uplo, trans, diag, numelDimension( A, 0 ), getData( A ), st[ 0 ], st[ 1 ], getOffset( A ), getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
 
 	return x;
 }

From fa15fd66b5d885fad69c13053f3fcedb5d4f5788 Mon Sep 17 00:00:00 2001
From: kaustubh <kaustubh.mp007@gmail.com>
Date: Sun, 16 Aug 2026 20:53:58 +0530
Subject: [PATCH 4/4] fix: apply suggestions

---
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: 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: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js      | 2 +-
 lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
index 304bfa223953..1b18d8850af4 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/benchmark/benchmark.js
@@ -74,7 +74,7 @@ function createBenchmark( N ) {
 
 	uplo = scalar2ndarray( resolveTriangle( 'upper' ), eopts );
 	trans = scalar2ndarray( resolveTranspose( 'no-transpose' ), eopts );
-	diag = scalar2ndarray( resolveDiagonal( 'non-unit' ), eopts );
+	diag = scalar2ndarray( resolveDiagonal( 'unit' ), eopts );
 
 	return benchmark;
 
diff --git a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
index a4b75a3fd013..cbdd21f63d9b 100644
--- a/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
+++ b/lib/node_modules/@stdlib/blas/base/ndarray/dtrmv/test/test.js
@@ -191,7 +191,7 @@ tape( 'the function supports specifying that `A` has a unit diagonal', function
 	var v;
 
 	xbuf = new Float64Array( [ 1.0, 2.0, 3.0 ] );
-	Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] );
+	Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 1.0, 6.0, 7.0, 8.0, 1.0 ] );
 	x = vector( xbuf, 3, 1, 0 );
 	A = matrix( Abuf, 3, 3, 1, 0 );
 	uplo = scalar2ndarray( resolveTriangle( 'upper' ), {