diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/README.md b/lib/node_modules/@stdlib/blas/base/dsbmv/README.md
new file mode 100644
index 000000000000..d8f5bde28c77
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/README.md
@@ -0,0 +1,266 @@
+
+
+# dsbmv
+
+> Perform the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+
+
+
+## Usage
+
+```javascript
+var dsbmv = require( '@stdlib/blas/base/dsbmv' );
+```
+
+#### dsbmv( order, uplo, N, K, α, A, x, LDA, sx, β, y, sy )
+
+Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+
+dsbmv( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, 1, 0.0, y, 1 );
+// y => [ 10.0, 25.0, 10.0 ]
+```
+
+The function has the following parameters:
+
+- **order**: storage layout.
+- **uplo**: specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied.
+- **N**: specifies the order of the matrix `A`.
+- **K**: specifies the number of super-diagonals of the matrix `A`
+- **α**: scalar constant.
+- **A**: packed banded form of a symmetric matrix `A` stored in linear memory as a [`Float64Array`][mdn-float64array].
+- **LDA**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+- **x**: input [`Float64Array`][mdn-float64array].
+- **sx**: index increment for `x`.
+- **β**: scalar constant.
+- **y**: output [`Float64Array`][mdn-float64array].
+- **sy**: index increment for `y`.
+
+The stride parameters determine how elements in the input arrays are accessed at runtime. For example, to iterate over the elements of `y` in reverse order,
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+
+dsbmv( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, 1, 0.0, y, -1 );
+// y => [ 10.0, 25.0, 10.0 ]
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial arrays...
+var x0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );
+var y0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+
+// Create offset views...
+var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+dsbmv( 'row-major', 'lower', 3, 1, 1.0, A, 2, x1, 1, 0.0, y1, 1 );
+// y0 => [ 0.0, 10.0, 25.0, 10.0 ]
+```
+
+#### dsbmv.ndarray( uplo, N, K, α, A, sa1, sa2, oa, x, sx, ox, β, y, sy, oy )
+
+Performs the matrix-vector operation `y = alpha*A*x + beta*y` using alternative indexing semantics where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+
+dsbmv.ndarray( 'lower', 3, 1, 1.0, A, 2, 1, 0, x, 1, 0, 0.0, y, 1, 0 );
+// y => [ 10.0, 25.0, 10.0 ]
+```
+
+The function has the following additional parameters:
+
+- **oa**: starting index for `A`.
+- **sa1**: first dimension index increment for `A`.
+- **sa2**: second dimension index increment for `A`.
+- **ox**: starting index for `x`.
+- **oy**: starting index for `y`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+var x = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );
+var y = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
+
+dsbmv.ndarray( 'lower', 3, 1, 1.0, A, 2, 1, 0, x, 1, 1, 0.0, y, 1, 1 );
+// y => [ 0.0, 10.0, 25.0, 10.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `dsbmv()` corresponds to the [BLAS][blas] level 2 function [`dsbmv`][dsbmv].
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var dsbmv = require( '@stdlib/blas/base/dsbmv' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var N = 3;
+var A = [ 1, 2, 0, 3, 4, 5 ];
+
+var x = discreteUniform( N, -10, 10, opts );
+var y = discreteUniform( N, -10, 10, opts );
+
+dsbmv.ndarray( 'upper', N, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 );
+console.log( y );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+TODO
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[blas]: http://www.netlib.org/blas
+
+[dsbmv]: https://www.netlib.org/lapack/explore-html-3.6.1/d7/d15/group__double__blas__level2_ga5c7ca036c788c5fd42e04ade0dc92d44.html
+
+[mdn-float64array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float64Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/dsbmv/benchmark/benchmark.js
new file mode 100644
index 000000000000..16f309ff62c3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/benchmark/benchmark.js
@@ -0,0 +1,105 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var dsbmv = require( './../lib/dsbmv.js' );
+
+
+// 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 = uniform( len, -10.0, 10.0, options );
+ var y = uniform( len, -10.0, 10.0, options );
+ var A = [ 0,
+ 9,
+ 10,
+ 11,
+ 12,
+ 5,
+ 1,
+ 2,
+ 0 ];
+ 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 = dsbmv( 'row-major', 'upper', len, 1.0, 1, A, 2, x, 1, 1.0, y, 1 );
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var f;
+
+ len = floor( pow( pow( 10, 1 ), 1.0/2.0 ) );
+ f = createBenchmark( len );
+ bench( pkg+':size='+(len*len), f );
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/base/dsbmv/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..45a370514c54
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/benchmark/benchmark.ndarray.js
@@ -0,0 +1,105 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var pkg = require( './../package.json' ).name;
+var dsbmv = require( './../lib/ndarray.js' );
+
+
+// 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 = uniform( len, -10.0, 10.0, options );
+ var y = uniform( len, -10.0, 10.0, options );
+ var A = [ 0,
+ 9,
+ 10,
+ 11,
+ 12,
+ 5,
+ 1,
+ 2,
+ 0 ];
+ 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 = dsbmv( 'upper', len, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 );
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( z[ i%z.length ] ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var f;
+
+ len = floor( pow( pow( 10, 1 ), 1.0/2.0 ) );
+ f = createBenchmark( len );
+ bench( pkg+':size='+(len*len), f );
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/dsbmv/docs/repl.txt
new file mode 100644
index 000000000000..ca2a3bbd020e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/docs/repl.txt
@@ -0,0 +1,168 @@
+
+{{alias}}( ord, uplo, N, K, α, A, LDA, x, sx, β, y, sy )
+ Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha`
+ and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an
+ `N` by `N` symmetric band matrix, with `K` super-diagonals.
+
+ Indexing is relative to the first index. To introduce an offset, use typed
+ array views.
+
+ If `N` is equal to `0`, the function returns `y` unchanged.
+
+ If `α` equals `0` and `β` equals `1`, the function returns `y` unchanged.
+
+ Parameters
+ ----------
+ ord: string
+ Row-major (C-style) or column-major (Fortran-style) order. Must be
+ either 'row-major' or 'column-major'.
+
+ uplo: string
+ Specifies whether the upper or lower triangular matrix of `A` is
+ supplied. Must be either 'upper' or 'lower'.
+
+ N: integer
+ Number of elements along each dimension of `A`.
+
+ K: integer
+ Number of super-diagonals of the matrix `A`.
+
+ α: number
+ Scalar constant.
+
+ A: Float64Array
+ Matrix in packed form.
+
+ LDA: integer
+ Leading dimension of the matrix `A`.
+
+ x: Float64Array
+ Input vector `x`.
+
+ sx: integer
+ Index increment for `x`.
+
+ β: number
+ Scalar constant.
+
+ y: Float64Array
+ Input/output vector `y`.
+
+ sy: integer
+ Index increment for `y`.
+
+ Returns
+ -------
+ y: Float64Array
+ Output array.
+
+ Examples
+ --------
+ // Standard usage:
+ > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0 ] );
+ > var y = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+ > {{alias}}( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, 1, 0.0, y, 1 )
+ [ 10.0, 25.0, 10.0 ]
+
+ // Advanced indexing:
+ > x = new {{alias:@stdlib/array/float64}}( [ 3.0, 2.0, 1.0 ] );
+ > y = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
+ > A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+ > {{alias}}( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, -1, 0.0, y, -1 )
+ [ 10.0, 25.0, 10.0 ]
+
+ // Using typed array views:
+ > var x0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
+ > var y0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+ > A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+ > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+ > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*1 );
+ > {{alias}}( 'row-major', 'lower', 3, 1, 1.0, A, 2, x1, 1, 0.0, y1, 1 );
+ > y0
+ [ 0.0, 10.0, 25.0, 10.0 ]
+
+
+{{alias}}.ndarray( uplo, N, K, α, A, sa1, sa2, oa, x, sx, ox, β, y, sy, oy )
+ Performs the matrix-vector operation `y = alpha*A*x + beta*y` using
+ alternative indexing semantics where `alpha` and `beta` are scalars,
+ `x` and `y` are `N` element vectors, and `A` is an `N` by `N`
+ symmetric band matrix, with `K` super-diagonals.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ uplo: string
+ Specifies whether the upper or lower triangular matrix of `A` is
+ supplied. Must be either 'upper' or 'lower'.
+
+ N: integer
+ Number of elements along each dimension of `A`.
+
+ K: integer
+ Number of super-diagonals of the matrix `A`.
+
+ α: number
+ Scalar.
+
+ A: Float64Array
+ Matrix in packed form.
+
+ sa1: integer
+ Stride of the first dimension of `A`.
+
+ sa2: integer
+ Stride of the second dimension of `A`.
+
+ oa: integer
+ Starting index for `A`.
+
+ x: Float64Array
+ Input vector `x`.
+
+ sx: integer
+ Index increment for `x`.
+
+ ox: integer
+ Starting index for `x`.
+
+ β: number
+ Scalar.
+
+ y: Float64Array
+ Input/output vector `y`.
+
+ sy: integer
+ Index increment for `y`.
+
+ oy: integer
+ Starting index for `y`.
+
+ Returns
+ -------
+ y: Float64Array
+ Output array.
+
+ Examples
+ --------
+ // Standard usage:
+ > var x = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
+ > var y = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+ > var uplo = 'lower';
+ > {{alias}}.ndarray( uplo, 3, 1, 1.0, A, 2, 1, 0, x, 1, 1, 0.0, y, 1, 1 )
+ [ 0.0, 10.0, 25.0, 10.0 ]
+
+ // Advanced indexing:
+ > var x = new {{alias:@stdlib/array/float64}}( [ 3.0, 2.0, 1.0 ] );
+ > var y = new {{alias:@stdlib/array/float64}}( [ 0.0, 0.0, 0.0 ] );
+ > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+ > var uplo = 'lower';
+ > {{alias}}.ndarray( uplo, 3, 1, 1.0, A, 2, 1, 0, x, -1, 2, 0.0, y, -1, 2 )
+ [ 10.0, 25.0, 10.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/dsbmv/docs/types/index.d.ts
new file mode 100644
index 000000000000..d7de3287b148
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/docs/types/index.d.ts
@@ -0,0 +1,133 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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
+
+///
+
+import { Layout, MatrixTriangle } from '@stdlib/types/blas';
+
+/**
+* Interface describing `dsbmv`.
+*/
+interface Routine {
+ /**
+ * Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+ *
+ * @param order - storage layout
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is being supplied
+ * @param N - number of columns in the matrix `A`
+ * @param K - number of super-diagonals of the matrix `A`
+ * @param alpha - scalar constant
+ * @param A - matrix
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @param x - first input array
+ * @param strideX - `x` stride length
+ * @param beta - scalar constant
+ * @param y - second input array
+ * @param strideY - `y` stride length
+ * @returns `y`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+ * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+ * var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+ *
+ * dsbmv( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, 1, 0.0, y, 1 );
+ * // y => [ 10.0, 25.0, 10.0 ]
+ */
+ ( order: Layout, uplo: MatrixTriangle, N: number, K: number, alpha: number, A: Float64Array, LDA: number, x: Float64Array, strideX: number, beta: number, y: Float64Array, strideY: number ): Float64Array;
+
+ /**
+ * Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+ *
+ * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is being supplied
+ * @param N - number of columns in the matrix `A`
+ * @param K - number of super-diagonals of the matrix `A`
+ * @param alpha - scalar constant
+ * @param A - packed form of a symmetric matrix `A`
+ * @param strideA1 - stride of the first dimension of `A`
+ * @param strideA2 - stride of the second dimension of `A`
+ * @param offsetA - starting index for `A`
+ * @param x - first input array
+ * @param strideX - `x` stride length
+ * @param offsetX - starting `x` index
+ * @param beta - scalar constant
+ * @param y - second input array
+ * @param strideY - `y` stride length
+ * @param offsetY - starting `y` index
+ * @returns `y`
+ *
+ * @example
+ * var Float64Array = require( '@stdlib/array/float64' );
+ *
+ * var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+ * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+ * var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+ *
+ * dsbmv( 'lower', 3, 1, 1.0, A, 2, 1, 0, x, 1, 0, 0.0, y, 1, 0 );
+ * // y => [ 10.0, 25.0, 10.0 ]
+ */
+ ndarray( uplo: MatrixTriangle, N: number, K: number, alpha: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, x: Float64Array, strideX: number, offsetX: number, beta: number, y: Float64Array, strideY: number, offsetY: number ): Float64Array;
+}
+
+/**
+* Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+*
+* @param order - storage layout
+* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is being supplied
+* @param N - number of columns in the matrix `A`
+* @param K - number of super-diagonals of the matrix `A`
+* @param alpha - scalar constant
+* @param A - packed form of a symmetric matrix `A`
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param x - first input array
+* @param strideX - `x` stride length
+* @param beta - scalar constant
+* @param y - second input array
+* @param strideY - `y` stride length
+* @returns `y`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+*
+* dsbmv( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, 1, 0.0, y, 1 );
+* // y => [ 10.0, 25.0, 10.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+*
+* dsbmv( 'lower', 3, 1, 1.0, A, 2, 1, 0, x, 1, 0, 0.0, y, 1, 0 );
+* // y => [ 10.0, 25.0, 10.0 ]
+*/
+declare var dsbmv: Routine;
+
+
+// EXPORTS //
+
+export = dsbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/dsbmv/docs/types/test.ts
new file mode 100644
index 000000000000..98198a668f2e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/docs/types/test.ts
@@ -0,0 +1,515 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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.
+*/
+
+import dsbmv = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 10, 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( true, 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( false, 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( null, 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( void 0, 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( [], 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( {}, 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( ( x: number ): number => x, 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a string...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 10, 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', true, 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', false, 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', null, 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', void 0, 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', [ '1' ], 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', {}, 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', ( x: number ): number => x, 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', '10', 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', true, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', false, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', null, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', void 0, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', [], 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', {}, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', ( x: number ): number => x, 1, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, '10', 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, true, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, false, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, null, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, void 0, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, [], 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, {}, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, ( x: number ): number => x, 1.0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, '10', A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, true, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, false, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, null, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, void 0, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, [], A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, {}, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, ( x: number ): number => x, A, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, 10, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, '10', 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, true, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, false, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, null, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, void 0, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, [ '1' ], 2, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, {}, x, 2, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, ( x: number ): number => x, 2, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, '10', x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, true, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, false, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, null, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, void 0, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, [ '1' ], x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, {}, x, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, ( x: number ): number => x, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eighth argument which is not a Float64Array...
+{
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, 10, 1, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, '10', 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, true, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, false, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, null, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, void 0, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, [ '1' ], 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, {}, 1, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, ( x: number ): number => x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, '10', 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, true, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, false, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, null, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, void 0, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, [], 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, {}, 1.0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, ( x: number ): number => x, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an tenth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, '10', y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, true, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, false, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, null, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, void 0, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, [], y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, {}, y, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, ( x: number ): number => x, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eleventh argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, 10, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, '10', 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, true, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, false, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, null, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, void 0, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, [ '1' ], 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, {}, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a twelfth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, '10' ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, true ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, false ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, null ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, void 0 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, [] ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, {} ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv(); // $ExpectError
+ dsbmv( 'row-major' ); // $ExpectError
+ dsbmv( 'row-major', 'upper' ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0 ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y ); // $ExpectError
+ dsbmv( 'row-major', 'upper', 10, 1, 1.0, A, 2, x, 1, 1.0, y, 1, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectType Float64Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 10, 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( true, 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( false, 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( null, 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( void 0, 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( [ '1' ], 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( {}, 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( ( x: number ): number => x, 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', '10', 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', true, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', false, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', null, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', void 0, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', [], 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', {}, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', ( x: number ): number => x, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, '10', 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, true, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, false, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, null, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, void 0, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, [], 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, {}, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, ( x: number ): number => x, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, '10', A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, true, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, false, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, null, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, void 0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, [], A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, {}, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, ( x: number ): number => x, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, 10, 1, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, '10', 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, true, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, false, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, null, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, void 0, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, [ '1' ], 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, {}, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, ( x: number ): number => x, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, '10', 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, true, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, false, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, null, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, void 0, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, [ '1' ], 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, {}, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, ( x: number ): number => x, 2, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, '10', 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, true, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, false, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, null, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, void 0, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, [ '1' ], 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, {}, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, ( x: number ): number => x, 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eighth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, '10', x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, true, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, false, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, null, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, void 0, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, [ '1' ], x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, {}, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, ( x: number ): number => x, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a ninth argument which is not a Float64Array...
+{
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, 10, 1, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, '10', 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, true, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, false, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, null, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, void 0, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, [ '1' ], 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, {}, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, ( x: number ): number => x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an tenth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, '10', 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, true, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, false, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, null, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, void 0, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, [], 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, {}, 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, ( x: number ): number => x, 0, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eleventh argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, '10', 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, true, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, false, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, null, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, void 0, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, [], 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, {}, 1.0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, ( x: number ): number => x, 1.0, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a twelfth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, '10', y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, true, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, false, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, null, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, void 0, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, [], y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, {}, y, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, ( x: number ): number => x, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an thirteenth argument which is not a Float64Array...
+{
+ const x = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, 10, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, '10', 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, true, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, false, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, null, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, void 0, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, [ '1' ], 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, {}, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourteenth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, '10', 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, true, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, false, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, null, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, void 0, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, [], 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, {}, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifteenth argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, '10' ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, true ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, false ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, null ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, void 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, [] ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, {} ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+ const y = new Float64Array( 10 );
+ const A = new Float64Array( 55 );
+
+ dsbmv.ndarray(); // $ExpectError
+ dsbmv.ndarray( 'upper' ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1 ); // $ExpectError
+ dsbmv.ndarray( 'upper', 10, 1, 1.0, A, 1, 2, 0, x, 1, 0, 1.0, y, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/examples/index.js b/lib/node_modules/@stdlib/blas/base/dsbmv/examples/index.js
new file mode 100644
index 000000000000..ddb966dd5808
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/examples/index.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 dsbmv = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+
+var N = 3;
+var A = [ 1.0, 2.0, 3.0, 4.0, 5.0, 0.0 ];
+
+var x = discreteUniform( N, -10, 10, opts );
+var y = discreteUniform( N, -10, 10, opts );
+
+dsbmv.ndarray( 'upper', N, 1, 1.0, A, 2, 1, 0, x, 1, 0, 1.0, y, 1, 0 );
+console.log( y );
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/lib/base.js b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/base.js
new file mode 100644
index 000000000000..e4162a0c02af
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/base.js
@@ -0,0 +1,159 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var dfill = require( '@stdlib/blas/ext/base/dfill' ).ndarray;
+var dscal = require( '@stdlib/blas/base/dscal' ).ndarray;
+var max = require( '@stdlib/math/base/special/max' );
+
+
+// MAIN //
+
+/**
+* Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+*
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
+* @param {NonNegativeInteger} K - number of super-diagonals of the matrix `A`
+* @param {number} alpha - scalar constant
+* @param {Float64Array} A - matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float64Array} x - first input array
+* @param {integer} strideX - `x` stride length
+* @param {NonNegativeInteger} offsetX - starting `x` index
+* @param {number} beta - scalar constant
+* @param {Float64Array} y - second input array
+* @param {integer} strideY - `y` stride length
+* @param {NonNegativeInteger} offsetY - starting `y` index
+* @returns {Float64Array} `y`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+*
+* dsbmv( 'lower', 3, 1, 1.0, A, 2, 1, 0, x, 1, 0, 0.0, y, 1, 0 );
+* // y => [ 10.0, 25.0, 10.0 ]
+*/
+function dsbmv( uplo, N, K, alpha, A, strideA1, strideA2, offsetA, x, strideX, offsetX, beta, y, strideY, offsetY ) { // eslint-disable-line max-params, max-len
+ var temp1;
+ var temp2;
+ var isrm;
+ var jmin;
+ var sa0;
+ var sa1;
+ var ix;
+ var iy;
+ var jx;
+ var jy;
+ var ox;
+ var oy;
+ var oa;
+ var i;
+ var j;
+
+ isrm = isRowMajor( [ strideA1, strideA2 ] );
+ if ( isrm ) {
+ sa0 = strideA2;
+ sa1 = strideA1;
+ } else {
+ sa0 = strideA1;
+ sa1 = strideA2;
+ }
+ // Form: y = beta*y
+ if ( beta !== 1.0 ) {
+ if ( beta === 0.0 ) {
+ dfill( N, 0.0, y, strideY, offsetY );
+ } else {
+ dscal( N, beta, y, strideY, offsetY );
+ }
+ }
+ if ( alpha === 0.0 ) {
+ return y;
+ }
+ ox = offsetX;
+ oy = offsetY;
+
+ // Form: y = alpha*A*x + y
+ if (
+ ( isrm && uplo === 'upper' ) ||
+ ( !isrm && uplo === 'lower' )
+ ) {
+ ix = ox;
+ iy = oy;
+ for ( i = 0; i < N; i++ ) {
+ temp1 = alpha * x[ ix ];
+ temp2 = 0.0;
+ jmin = max( 0, i - K );
+ jx = ox + ( jmin * strideX );
+ jy = oy + ( jmin * strideY );
+ for ( j = jmin; j < i; j++ ) {
+ oa = offsetA + ((i - j) * sa0);
+ y[ jy ] += temp1 * A[ oa + (j * sa1) ];
+ temp2 += x[ jx ] * A[ oa + (j * sa1) ];
+ jx += strideX;
+ jy += strideY;
+ }
+ y[ iy ] += ( temp1 * A[ offsetA + (i * sa1) ] ) + ( alpha * temp2 );
+ ix += strideX;
+ iy += strideY;
+ }
+ return y;
+ }
+
+ // ( order === 'row-major' && uplo === 'lower') || ( order === 'column-major' && uplo === 'upper' )
+ if (
+ ( isrm && uplo === 'lower' ) ||
+ ( !isrm && uplo === 'upper' )
+ ) {
+ ix = ox;
+ iy = oy;
+ for ( i = 0; i < N; i++ ) {
+ temp1 = alpha * x[ ix ];
+ temp2 = 0.0;
+ jmin = max( 0, i - K );
+ jx = ox + ( jmin * strideX );
+ jy = oy + ( jmin * strideY );
+ for ( j = jmin; j < i; j++ ) {
+ oa = offsetA + +((K + j - i) * sa0);
+ y[ jy ] += temp1 * A[ oa + (i * sa1) ];
+ temp2 += x[ jx ] * A[ oa + (i * sa1) ];
+ jx += strideX;
+ jy += strideY;
+ }
+ oa = offsetA + (K * sa0);
+ y[ iy ] += ( temp1 * A[ oa + (i * sa1) ] ) + ( alpha * temp2 );
+ ix += strideX;
+ iy += strideY;
+ }
+ return y;
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = dsbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/lib/dsbmv.js b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/dsbmv.js
new file mode 100644
index 000000000000..f4b6d7c6c16d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/dsbmv.js
@@ -0,0 +1,109 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var format = require( '@stdlib/string/format' );
+var max = require( '@stdlib/math/base/special/max' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+*
+* @param {string} order - storage layout
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied
+* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
+* @param {NonNegativeInteger} K - number of super-diagonals of the matrix `A`
+* @param {number} alpha - scalar constant
+* @param {Float64Array} A - matrix
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float64Array} x - first input array
+* @param {integer} strideX - `x` stride length
+* @param {number} beta - scalar constant
+* @param {Float64Array} y - second input array
+* @param {integer} strideY - `y` stride length
+* @throws {TypeError} first argument must be a valid order
+* @throws {TypeError} second argument must specify whether the lower or upper triangular matrix is supplied
+* @throws {RangeError} third argument must be a nonnegative integer
+* @throws {RangeError} fourth argument must be a nonnegative integer
+* @throws {RangeError} seventh argument must be greater than max(1,K)
+* @throws {RangeError} eighth argument must be non-zero
+* @throws {RangeError} eleventh argument must be non-zero
+* @returns {Float64Array} `y`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+*
+* dsbmv( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, 1, 0.0, y, 1 );
+* // y => [ 10.0, 25.0, 10.0 ]
+*/
+function dsbmv( order, uplo, N, K, alpha, A, LDA, x, strideX, beta, y, strideY ) { // eslint-disable-line max-params, max-len
+ var offsetX;
+ var offsetY;
+ var sa1;
+ var sa2;
+
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+ if ( !isMatrixTriangle( uplo ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) );
+ }
+ if ( K < 0 ) {
+ throw new RangeError( format( 'invalid argument. Fourth argument must be a nonnegative integer. Value: `%d`.', K ) );
+ }
+ if ( LDA < max( 1, K + 1 ) ) {
+ throw new RangeError( 'invalid argument. Seventh argument must be greater than or equal to ( K + 1 ). Value: `%d`.', LDA );
+ }
+ if ( strideX === 0 ) {
+ throw new RangeError( format( 'invalid argument. Eighth argument must be non-zero. Value: `%d`.', strideX ) );
+ }
+ if ( strideY === 0 ) {
+ throw new RangeError( format( 'invalid argument. Eleventh argument must be non-zero. Value: `%d`.', strideY ) );
+ }
+ offsetX = stride2offset( N, strideX );
+ offsetY = stride2offset( N, strideY );
+ if ( order === 'column-major' ) {
+ sa1 = 1;
+ sa2 = LDA;
+ } else { // order === 'row-major'
+ sa1 = LDA;
+ sa2 = 1;
+ }
+ return base( uplo, N, K, alpha, A, sa1, sa2, 0, x, strideX, offsetX, beta, y, strideY, offsetY ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dsbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/lib/index.js b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/index.js
new file mode 100644
index 000000000000..42c956160801
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/index.js
@@ -0,0 +1,72 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+*
+* @module @stdlib/blas/base/dsbmv
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dsbmv = require( '@stdlib/blas/base/dsbmv' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+*
+* dsbmv( 'row-major', 'lower', 3, 1, 1.0, A, 2, x, 1, 0.0, y, 1 );
+* // y => [ 10.0, 25.0, 10.0 ]
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+* var dsbmv = require( '@stdlib/blas/base/dsbmv' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+*
+* dsbmv.ndarray( 'lower', 3, 1, 1.0, A, 2, 1, 0, x, 1, 0, 1.0, y, 1, 0 );
+* // y => [ 10.0, 25.0, 10.0 ]
+*/
+
+// MODULES //
+
+var join = require( 'path' ).join;
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isError = require( '@stdlib/assert/is-error' );
+var main = require( './main.js' );
+
+
+// MAIN //
+
+var dsbmv;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ dsbmv = main;
+} else {
+ dsbmv = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = dsbmv;
+
+// exports: { "ndarray": "dsbmv.ndarray" }
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/lib/main.js b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/main.js
new file mode 100644
index 000000000000..171d031a6995
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var dsbmv = require( './dsbmv.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( dsbmv, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = dsbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/lib/ndarray.js b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/ndarray.js
new file mode 100644
index 000000000000..1c056635785d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/lib/ndarray.js
@@ -0,0 +1,97 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' );
+var base = require( './base.js' );
+
+
+// MAIN //
+
+/**
+* Performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.
+*
+* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced
+* @param {NonNegativeInteger} N - number of elements along each dimension of `A`
+* @param {NonNegativeInteger} K - number of super-diagonals of the matrix `A`
+* @param {number} alpha - scalar constant
+* @param {Float64Array} A - matrix
+* @param {integer} strideA1 - stride of the first dimension of `A`
+* @param {integer} strideA2 - stride of the second dimension of `A`
+* @param {NonNegativeInteger} offsetA - starting index for `A`
+* @param {Float64Array} x - first input array
+* @param {integer} strideX - `x` stride length
+* @param {NonNegativeInteger} offsetX - starting `x` index
+* @param {number} beta - scalar constant
+* @param {Float64Array} y - second input array
+* @param {integer} strideY - `y` stride length
+* @param {NonNegativeInteger} offsetY - starting `y` index
+* @throws {TypeError} first argument must specify whether to reference the lower or upper triangular matrix
+* @throws {RangeError} second argument must be a nonnegative integer
+* @throws {RangeError} third argument must be a nonnegative integer
+* @throws {RangeError} sixth argument must be greater than or equal to max(1,N)
+* @throws {RangeError} eighth argument must be non-zero
+* @throws {RangeError} twelfth argument must be non-zero
+* @returns {Float64Array} `y`
+*
+* @example
+* var Float64Array = require( '@stdlib/array/float64' );
+*
+* var A = new Float64Array( [ 1.0, 2.0, 4.0, 3.0, 5.0, 0.0 ] );
+* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float64Array( [ 0.0, 0.0, 0.0 ] );
+*
+* dsbmv( 'lower', 3, 1, 1.0, A, 2, 1, 0, x, 1, 0, 0.0, y, 1, 0 );
+* // y => [ 10.0, 25.0, 10.0 ]
+*/
+function dsbmv( uplo, N, K, alpha, A, strideA1, strideA2, offsetA, x, strideX, offsetX, beta, y, strideY, offsetY ) { // eslint-disable-line max-params, max-len
+ if ( !isMatrixTriangle( uplo ) ) {
+ throw new TypeError( 'invalid argument. First argument must specify whether to reference the lower or upper triangular matrix. Value: `%s`.', uplo );
+ }
+ if ( N < 0 ) {
+ throw new RangeError( 'invalid argument. Second argument must be a nonnegative integer. Value: `%d`.', N );
+ }
+ if ( K < 0 ) {
+ throw new RangeError( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', K );
+ }
+ if ( strideA1 === 0 ) {
+ throw new RangeError( 'invalid argument. Sixth argument must be non-zero. Value: `%d`.', strideX );
+ }
+ if ( strideA2 === 0 ) {
+ throw new RangeError( 'invalid argument. Seventh argument must be non-zero. Value: `%d`.', strideX );
+ }
+ if ( strideX === 0 ) {
+ throw new RangeError( 'invalid argument. Tenth argument must be non-zero. Value: `%d`.', strideX );
+ }
+ if ( strideY === 0 ) {
+ throw new RangeError( 'invalid argument. Fourteenth argument must be non-zero. Value: `%d`.', strideY );
+ }
+ // Check if we can early return...
+ if ( N === 0 || ( alpha === 0.0 && beta === 1.0 ) ) {
+ return y;
+ }
+ return base( uplo, N, K, alpha, A, strideA1, strideA2, offsetA, x, strideX, offsetX, beta, y, strideY, offsetY ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = dsbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/package.json b/lib/node_modules/@stdlib/blas/base/dsbmv/package.json
new file mode 100644
index 000000000000..610e2b8d1bf0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/package.json
@@ -0,0 +1,68 @@
+{
+ "name": "@stdlib/blas/base/dsbmv",
+ "version": "0.0.0",
+ "description": "Perform the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals.",
+ "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",
+ "dsbmv",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "float64",
+ "double",
+ "float64array"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_complex_access_pattern.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_complex_access_pattern.json
new file mode 100644
index 000000000000..17ef1b0c01ae
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_complex_access_pattern.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 2.0,
+ "strideX": -2,
+ "offsetX": 4,
+ "strideY": -3,
+ "offsetY": 6,
+ "LDA": 2,
+ "A": [ 0.0, 0.0, 2.0, 4.0, 0.0, 0.0, 1.0, 0.0, 2.0, 5.0, 0.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 0.0, 0.0 ],
+ [ 1.0, 5.0, 0.0 ],
+ [ 0.0, 2.0, 6.0 ]
+ ],
+ "x": [ 1.0, 0.0, 1.0, 0.0, 1.0 ],
+ "y": [ 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0 ],
+ "strideA1": 3,
+ "strideA2": 2,
+ "offsetA": 3,
+ "y_out": [ 9.0, 0.0, 0.0, 5.0, 0.0, 0.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_l.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_l.json
new file mode 100644
index 000000000000..241b0bc121ff
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_l.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "lower",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 4.0, 1.0, 5.0, 2.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 4.0, 0.0, 0.0 ],
+ [ 1.0, 5.0, 0.0 ],
+ [ 0.0, 2.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 1,
+ "strideA2": 2,
+ "offsetA": 0,
+ "y_out": [ 6.0, 9.0, 9.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_oa.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_oa.json
new file mode 100644
index 000000000000..4d1f893e93f1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_oa.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 0.0, 4.0, 1.0, 5.0, 2.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 1,
+ "strideA2": 2,
+ "offsetA": 1,
+ "y_out": [ 6.0, 9.0, 9.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1_sa2.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1_sa2.json
new file mode 100644
index 000000000000..ad0fe6859c11
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1_sa2.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 0.0, 0.0, 1.0, 5.0, 0.0, 0.0, 0.0, 2.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 3,
+ "strideA2": 2,
+ "offsetA": 0,
+ "y_out": [ 1.0, 6.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1_sa2n.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1_sa2n.json
new file mode 100644
index 000000000000..f60e55374156
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1_sa2n.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 0.0, 0.0, 1.0, 5.0, 0.0, 0.0, 0.0, 2.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": -3,
+ "strideA2": 2,
+ "offsetA": 8,
+ "y_out": [ 1.0, 6.0, 1.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1n_sa2.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1n_sa2.json
new file mode 100644
index 000000000000..f60e55374156
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1n_sa2.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 0.0, 0.0, 1.0, 5.0, 0.0, 0.0, 0.0, 2.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": -3,
+ "strideA2": 2,
+ "offsetA": 8,
+ "y_out": [ 1.0, 6.0, 1.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1n_sa2n.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1n_sa2n.json
new file mode 100644
index 000000000000..d6c95104fece
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_sa1n_sa2n.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 0.0, 0.0, 1.0, 5.0, 0.0, 0.0, 0.0, 2.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": -3,
+ "strideA2": -2,
+ "offsetA": 8,
+ "y_out": [ 1.0, 6.0, 1.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_u.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_u.json
new file mode 100644
index 000000000000..7d5b2d7bc4f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_u.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 1.0, 5.0, 2.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 1,
+ "strideA2": 2,
+ "offsetA": 0,
+ "y_out": [ 6.0, 9.0, 9.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xnyn.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xnyn.json
new file mode 100644
index 000000000000..a7587c40042e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xnyn.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": -1,
+ "offsetX": 2,
+ "strideY": -1,
+ "offsetY": 2,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 1.0, 5.0, 2.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 1,
+ "strideA2": 2,
+ "offsetA": 0,
+ "y_out": [ 9.0, 9.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xnyp.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xnyp.json
new file mode 100644
index 000000000000..9c807ae01541
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xnyp.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": -1,
+ "offsetX": 2,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 1.0, 5.0, 2.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 1,
+ "strideA2": 2,
+ "offsetA": 0,
+ "y_out": [ 6.0, 9.0, 9.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xpyn.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xpyn.json
new file mode 100644
index 000000000000..b96212e621be
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xpyn.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": -1,
+ "offsetY": 2,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 1.0, 5.0, 2.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 1,
+ "strideA2": 2,
+ "offsetA": 0,
+ "y_out": [ 9.0, 9.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xpyp.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xpyp.json
new file mode 100644
index 000000000000..7d5b2d7bc4f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/column_major_xpyp.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "column-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 4.0, 1.0, 5.0, 2.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 1.0, 0.0 ],
+ [ 0.0, 5.0, 2.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 1,
+ "strideA2": 2,
+ "offsetA": 0,
+ "y_out": [ 6.0, 9.0, 9.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_complex_access_pattern.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_complex_access_pattern.json
new file mode 100644
index 000000000000..c6d14fe29af2
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_complex_access_pattern.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 2.0,
+ "strideX": -2,
+ "offsetX": 4,
+ "strideY": -3,
+ "offsetY": 6,
+ "LDA": 2,
+ "A": [ 0.0, 0.0, 2.0, 4.0, 0.0, 0.0, 1.0, 0.0, 2.0, 5.0, 0.0, 6.0 ],
+ "A_mat": [
+ [ 4.0, 0.0, 0.0 ],
+ [ 1.0, 5.0, 0.0 ],
+ [ 0.0, 2.0, 6.0 ]
+ ],
+ "x": [ 1.0, 0.0, 1.0, 0.0, 1.0 ],
+ "y": [ 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 3,
+ "offsetA": 3,
+ "y_out": [ 13.0, 0.0, 0.0, 10.0, 0.0, 0.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_l.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_l.json
new file mode 100644
index 000000000000..1920fefeefae
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_l.json
@@ -0,0 +1,26 @@
+
+{
+ "uplo": "lower",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 4.0, 5.0, 6.0, 1.0, 2.0, 0.0 ],
+ "A_mat": [
+ [ 4.0, 0.0, 0.0 ],
+ [ 1.0, 5.0, 0.0 ],
+ [ 0.0, 2.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "y_out": [ 12.0, 10.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_oa.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_oa.json
new file mode 100644
index 000000000000..f5d1fa454f72
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_oa.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 0.0, 2.0, 5.0, 1.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 1,
+ "y_out": [ 3.0, 9.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1_sa2.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1_sa2.json
new file mode 100644
index 000000000000..5270bedf2bf0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1_sa2.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 1.0, 4.0, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 3,
+ "offsetA": 0,
+ "y_out": [ 5.0, 8.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1_sa2n.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1_sa2n.json
new file mode 100644
index 000000000000..8e9303457c81
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1_sa2n.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 0.0, 1.0, 4.0, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": -3,
+ "offsetA": 8,
+ "y_out": [ 7.0, 7.0, 2.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1n_sa2.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1n_sa2.json
new file mode 100644
index 000000000000..fc6669d89f17
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1n_sa2.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 0.0, 1.0, 4.0, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": -2,
+ "strideA2": 3,
+ "offsetA": 2,
+ "y_out": [ 1.0, 5.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1n_sa2n.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1n_sa2n.json
new file mode 100644
index 000000000000..847c3e0ad274
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_sa1n_sa2n.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 0.0, 1.0, 4.0, 0.0, 0.0, 2.0, 5.0, 0.0, 0.0, 6.0, 0.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": -2,
+ "strideA2": -3,
+ "offsetA": 8,
+ "y_out": [ 3.0, 6.0, 2.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_u.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_u.json
new file mode 100644
index 000000000000..56b10ad0eb34
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_u.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 2.0, 5.0, 1.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "y_out": [ 3.0, 9.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xnyn.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xnyn.json
new file mode 100644
index 000000000000..de666189bc4e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xnyn.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": -1,
+ "offsetX": 2,
+ "strideY": -1,
+ "offsetY": 2,
+ "LDA": 2,
+ "A": [ 0.0, 2.0, 5.0, 1.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "y_out": [ 6.0, 9.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xnyp.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xnyp.json
new file mode 100644
index 000000000000..595302e9a6c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xnyp.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": -1,
+ "offsetX": 2,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 2.0, 5.0, 1.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "y_out": [ 3.0, 9.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xpyn.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xpyn.json
new file mode 100644
index 000000000000..6832804f92f4
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xpyn.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": -1,
+ "offsetY": 2,
+ "LDA": 2,
+ "A": [ 0.0, 2.0, 5.0, 1.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "y_out": [ 6.0, 9.0, 3.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xpyp.json b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xpyp.json
new file mode 100644
index 000000000000..56b10ad0eb34
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/fixtures/row_major_xpyp.json
@@ -0,0 +1,25 @@
+{
+ "uplo": "upper",
+ "order": "row-major",
+ "N": 3,
+ "K": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "strideX": 1,
+ "offsetX": 0,
+ "strideY": 1,
+ "offsetY": 0,
+ "LDA": 2,
+ "A": [ 0.0, 2.0, 5.0, 1.0, 4.0, 6.0 ],
+ "A_mat": [
+ [ 1.0, 2.0, 0.0 ],
+ [ 0.0, 4.0, 5.0 ],
+ [ 0.0, 0.0, 6.0 ]
+ ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "strideA1": 2,
+ "strideA2": 1,
+ "offsetA": 0,
+ "y_out": [ 3.0, 9.0, 6.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.dsbmv.js b/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.dsbmv.js
new file mode 100644
index 000000000000..7435ba2d478a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.dsbmv.js
@@ -0,0 +1,592 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dsbmv = require( './../lib/dsbmv.js' );
+
+
+// FIXTURES //
+
+var rl = require( './fixtures/row_major_l.json' );
+var ru = require( './fixtures/row_major_u.json' );
+var rxpyp = require( './fixtures/row_major_xpyp.json' );
+var rxnyp = require( './fixtures/row_major_xnyp.json' );
+var rxpyn = require( './fixtures/row_major_xpyn.json' );
+var rxnyn = require( './fixtures/row_major_xnyn.json' );
+
+var cl = require( './fixtures/column_major_l.json' );
+var cu = require( './fixtures/column_major_u.json' );
+var cxpyp = require( './fixtures/column_major_xpyp.json' );
+var cxnyp = require( './fixtures/column_major_xnyp.json' );
+var cxpyn = require( './fixtures/column_major_xpyn.json' );
+var cxnyn = require( './fixtures/column_major_xnyn.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dsbmv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 12', function test( t ) {
+ t.strictEqual( dsbmv.length, 12, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( value, rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.LDA, new Float64Array( rl.x ), rl.strideX, rl.beta, new Float64Array( rl.y ), rl.strideY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.order, value, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.LDA, new Float64Array( rl.x ), rl.strideX, rl.beta, new Float64Array( rl.y ), rl.strideY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid third argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.order, rl.uplo, value, rl.K, rl.alpha, new Float64Array( rl.A ), rl.LDA, new Float64Array( rl.x ), rl.strideX, rl.beta, new Float64Array( rl.y ), rl.strideY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid fourth argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.order, rl.uplo, rl.N, value, rl.alpha, new Float64Array( rl.A ), 3, new Float64Array( rl.x ), rl.strideX, rl.beta, new Float64Array( rl.y ), rl.strideY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid seventh argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 1
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.order, rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), value, new Float64Array( rl.x ), rl.strideX, rl.beta, new Float64Array( rl.y ), rl.strideY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid ninth argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.order, rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.LDA, new Float64Array( rl.x ), value, rl.beta, new Float64Array( rl.y ), rl.strideY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid twelfth argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.order, rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.LDA, new Float64Array( rl.x ), rl.strideX, rl.beta, new Float64Array( rl.y ), value );
+ };
+ }
+});
+
+tape( 'the function performs matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals (row-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ expected = new Float64Array( rl.y_out );
+
+ out = dsbmv( rl.order, rl.uplo, rl.N, rl.K, rl.alpha, a, rl.LDA, x, rl.strideX, rl.beta, y, rl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals (column-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cl.A );
+ x = new Float64Array( cl.x );
+ y = new Float64Array( cl.y );
+
+ expected = new Float64Array( cl.y_out );
+
+ out = dsbmv( cl.order, cl.uplo, cl.N, cl.K, cl.alpha, a, cl.LDA, x, cl.strideX, cl.beta, y, cl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals (row-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( ru.A );
+ x = new Float64Array( ru.x );
+ y = new Float64Array( ru.y );
+
+ expected = new Float64Array( ru.y_out );
+
+ out = dsbmv( ru.order, ru.uplo, ru.N, ru.K, ru.alpha, a, ru.LDA, x, ru.strideX, ru.beta, y, ru.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals (column-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cu.A );
+ x = new Float64Array( cu.x );
+ y = new Float64Array( cu.y );
+
+ expected = new Float64Array( cu.y_out );
+
+ out = dsbmv( cu.order, cu.uplo, cu.N, cu.K, cu.alpha, a, cu.LDA, x, cu.strideX, cu.beta, y, cu.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the second input vector', function test( t ) {
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ out = dsbmv( rl.order, rl.uplo, rl.N, rl.K, rl.alpha, a, rl.LDA, x, rl.strideX, rl.beta, y, rl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constants are zero and unity, respectively, the function returns the second input vector unchanged (row-major)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ expected = new Float64Array( rl.y );
+
+ out = dsbmv( rl.order, rl.uplo, 0, rl.K, rl.alpha, a, rl.LDA, x, rl.strideX, rl.beta, y, rl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ out = dsbmv( rl.order, rl.uplo, rl.N, rl.K, 0.0, a, rl.LDA, x, rl.strideX, 1.0, y, rl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constants are zero and unity, respectively, the function returns the second input vector unchanged (column-major)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cl.A );
+ x = new Float64Array( cl.x );
+ y = new Float64Array( cl.y );
+
+ expected = new Float64Array( cl.y );
+
+ out = dsbmv( cl.order, cl.uplo, 0, cl.K, cl.alpha, a, cl.LDA, x, cl.strideX, cl.beta, y, cl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ out = dsbmv( cl.order, cl.uplo, cl.N, cl.K, 0.0, a, cl.LDA, x, cl.strideX, 1.0, y, cl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (row-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( ru.A );
+ x = new Float64Array( ru.x );
+ y = new Float64Array( ru.y );
+
+ expected = new Float64Array( ru.y.length );
+
+ out = dsbmv( ru.order, ru.uplo, ru.N, ru.K, 0.0, a, ru.LDA, x, ru.strideX, 0.0, y, ru.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (row-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ expected = new Float64Array( rl.y.length );
+
+ out = dsbmv( rl.order, rl.uplo, rl.N, rl.K, 0.0, a, rl.LDA, x, rl.strideX, 0.0, y, rl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (column-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cu.A );
+ x = new Float64Array( cu.x );
+ y = new Float64Array( cu.y );
+
+ expected = new Float64Array( cu.y.length );
+
+ out = dsbmv( cu.order, cu.uplo, cu.N, cu.K, 0.0, a, cu.LDA, x, cu.strideX, 0.0, y, cu.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (column-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cl.A );
+ x = new Float64Array( cl.x );
+ y = new Float64Array( cl.y );
+
+ expected = new Float64Array( cl.y.length );
+
+ out = dsbmv( cl.order, cl.uplo, cl.N, cl.K, 0.0, a, cl.LDA, x, cl.strideX, 0.0, y, cl.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric band matrix, with `K` super-diagonals (row-major, sx=1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxpyp.A );
+ x = new Float64Array( rxpyp.x );
+ y = new Float64Array( rxpyp.y );
+
+ expected = new Float64Array( rxpyp.y_out );
+
+ out = dsbmv( rxpyp.order, rxpyp.uplo, rxpyp.N, rxpyp.K, rxpyp.alpha, a, rxpyp.LDA, x, rxpyp.strideX, rxpyp.beta, y, rxpyp.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` banded symmetric matrix (column-major, sx=1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxpyp.A );
+ x = new Float64Array( cxpyp.x );
+ y = new Float64Array( cxpyp.y );
+
+ expected = new Float64Array( cxpyp.y_out );
+
+ out = dsbmv( cxpyp.order, cxpyp.uplo, cxpyp.N, cxpyp.K, cxpyp.alpha, a, cxpyp.LDA, x, cxpyp.strideX, cxpyp.beta, y, cxpyp.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` banded symmetric matrix (row-major, sx=-1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxnyp.A );
+ x = new Float64Array( rxnyp.x );
+ y = new Float64Array( rxnyp.y );
+
+ expected = new Float64Array( rxnyp.y_out );
+
+ out = dsbmv( rxnyp.order, rxnyp.uplo, rxnyp.N, rxnyp.K, rxnyp.alpha, a, rxnyp.LDA, x, rxnyp.strideX, rxnyp.beta, y, rxnyp.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` banded symmetric matrix (column-major, sx=-1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxnyp.A );
+ x = new Float64Array( cxnyp.x );
+ y = new Float64Array( cxnyp.y );
+
+ expected = new Float64Array( cxnyp.y_out );
+
+ out = dsbmv( cxnyp.order, cxnyp.uplo, cxnyp.N, cxnyp.K, cxnyp.alpha, a, cxnyp.LDA, x, cxnyp.strideX, cxnyp.beta, y, cxnyp.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` banded symmetric matrix (row-major, sx=1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxpyn.A );
+ x = new Float64Array( rxpyn.x );
+ y = new Float64Array( rxpyn.y );
+
+ expected = new Float64Array( rxpyn.y_out );
+
+ out = dsbmv( rxpyn.order, rxpyn.uplo, rxpyn.N, rxpyn.K, rxpyn.alpha, a, rxpyn.LDA, x, rxpyn.strideX, rxpyn.beta, y, rxpyn.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` banded symmetric matrix (column-major, sx=1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxpyn.A );
+ x = new Float64Array( cxpyn.x );
+ y = new Float64Array( cxpyn.y );
+
+ expected = new Float64Array( cxpyn.y_out );
+
+ out = dsbmv( cxpyn.order, cxpyn.uplo, cxpyn.N, cxpyn.K, cxpyn.alpha, a, cxpyn.LDA, x, cxpyn.strideX, cxpyn.beta, y, cxpyn.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` banded symmetric matrix (row-major, sx=-1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxnyn.A );
+ x = new Float64Array( rxnyn.x );
+ y = new Float64Array( rxnyn.y );
+
+ expected = new Float64Array( rxnyn.y_out );
+
+ out = dsbmv( rxnyn.order, rxnyn.uplo, rxnyn.N, rxnyn.K, rxnyn.alpha, a, rxnyn.LDA, x, rxnyn.strideX, rxnyn.beta, y, rxnyn.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` banded symmetric matrix (column-major, sx=-1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxnyn.A );
+ x = new Float64Array( cxnyn.x );
+ y = new Float64Array( cxnyn.y );
+
+ expected = new Float64Array( cxnyn.y_out );
+
+ out = dsbmv( cxnyn.order, cxnyn.uplo, cxnyn.N, cxnyn.K, cxnyn.alpha, a, cxnyn.LDA, x, cxnyn.strideX, cxnyn.beta, y, cxnyn.strideY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.js b/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.js
new file mode 100644
index 000000000000..1b88e9373fc2
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var dsbmv = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dsbmv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof dsbmv.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var dsbmv = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dsbmv, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var dsbmv;
+ var main;
+
+ main = require( './../lib/dsbmv.js' );
+
+ dsbmv = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( dsbmv, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.ndarray.js
new file mode 100644
index 000000000000..b90539fcbb23
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/dsbmv/test/test.ndarray.js
@@ -0,0 +1,841 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable max-len */
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var Float64Array = require( '@stdlib/array/float64' );
+var dsbmv = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var rap = require( './fixtures/row_major_complex_access_pattern.json' );
+var roa = require( './fixtures/row_major_oa.json' );
+var rsa1sa2 = require( './fixtures/row_major_sa1_sa2.json' );
+var rsa1nsa2 = require( './fixtures/row_major_sa1n_sa2.json' );
+var rsa1sa2n = require( './fixtures/row_major_sa1_sa2n.json' );
+var rsa1nsa2n = require( './fixtures/row_major_sa1n_sa2n.json' );
+var rl = require( './fixtures/row_major_l.json' );
+var ru = require( './fixtures/row_major_u.json' );
+var rxpyp = require( './fixtures/row_major_xpyp.json' );
+var rxnyp = require( './fixtures/row_major_xnyp.json' );
+var rxpyn = require( './fixtures/row_major_xpyn.json' );
+var rxnyn = require( './fixtures/row_major_xnyn.json' );
+
+var cap = require( './fixtures/column_major_complex_access_pattern.json' );
+var coa = require( './fixtures/column_major_oa.json' );
+var csa1sa2 = require( './fixtures/column_major_sa1_sa2.json' );
+var csa1nsa2 = require( './fixtures/column_major_sa1n_sa2.json' );
+var csa1sa2n = require( './fixtures/column_major_sa1_sa2n.json' );
+var csa1nsa2n = require( './fixtures/column_major_sa1n_sa2n.json' );
+var cl = require( './fixtures/column_major_l.json' );
+var cu = require( './fixtures/column_major_u.json' );
+var cxpyp = require( './fixtures/column_major_xpyp.json' );
+var cxnyp = require( './fixtures/column_major_xnyp.json' );
+var cxpyn = require( './fixtures/column_major_xpyn.json' );
+var cxnyn = require( './fixtures/column_major_xnyn.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof dsbmv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 15', function test( t ) {
+ t.strictEqual( dsbmv.length, 15, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided an invalid first argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 'beep',
+ 'boop'
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( value, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.strideA1, rl.strideA2, rl.offsetA, new Float64Array( rl.x ), rl.strideX, rl.offsetX, rl.beta, new Float64Array( rl.y ), rl.strideY, rl.offsetY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid second argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.uplo, value, rl.K, rl.alpha, new Float64Array( rl.A ), rl.strideA1, rl.strideA2, rl.offsetA, new Float64Array( rl.x ), rl.strideX, rl.offsetX, rl.beta, new Float64Array( rl.y ), rl.strideY, rl.offsetY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid third argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ -1,
+ -2,
+ -3
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.uplo, rl.N, value, rl.alpha, new Float64Array( rl.A ), rl.strideA1, rl.strideA2, rl.offsetA, new Float64Array( rl.x ), rl.strideX, rl.offsetX, rl.beta, new Float64Array( rl.y ), rl.strideY, rl.offsetY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid sixth argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), value, rl.strideA2, rl.offsetA, new Float64Array( rl.x ), rl.strideX, rl.offsetX, rl.beta, new Float64Array( rl.y ), rl.strideY, rl.offsetY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid seventh argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.strideA1, value, rl.offsetA, new Float64Array( rl.x ), rl.strideX, rl.offsetX, rl.beta, new Float64Array( rl.y ), rl.strideY, rl.offsetY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid tenth argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.strideA1, rl.strideA2, rl.offsetA, new Float64Array( rl.x ), value, rl.offsetX, rl.beta, new Float64Array( rl.y ), rl.strideY, rl.offsetY );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided an invalid fourteenth argument', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 0
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ dsbmv( rl.uplo, rl.N, rl.K, rl.alpha, new Float64Array( rl.A ), rl.strideA1, rl.strideA2, rl.offsetA, new Float64Array( rl.x ), rl.strideX, rl.offsetX, rl.beta, new Float64Array( rl.y ), value, rl.offsetY );
+ };
+ }
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ expected = new Float64Array( rl.y_out );
+
+ out = dsbmv( rl.uplo, rl.N, rl.K, rl.alpha, a, rl.strideA1, rl.strideA2, rl.offsetA, x, rl.strideX, rl.offsetX, rl.beta, y, rl.strideY, rl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cl.A );
+ x = new Float64Array( cl.x );
+ y = new Float64Array( cl.y );
+
+ expected = new Float64Array( cl.y_out );
+
+ out = dsbmv( cl.uplo, cl.N, cl.K, cl.alpha, a, cl.strideA1, cl.strideA2, cl.offsetA, x, cl.strideX, cl.offsetX, cl.beta, y, cl.strideY, cl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( ru.A );
+ x = new Float64Array( ru.x );
+ y = new Float64Array( ru.y );
+
+ expected = new Float64Array( ru.y_out );
+
+ out = dsbmv( ru.uplo, ru.N, ru.K, ru.alpha, a, ru.strideA1, ru.strideA2, ru.offsetA, x, ru.strideX, ru.offsetX, ru.beta, y, ru.strideY, ru.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cu.A );
+ x = new Float64Array( cu.x );
+ y = new Float64Array( cu.y );
+
+ expected = new Float64Array( cu.y_out );
+
+ out = dsbmv( cu.uplo, cu.N, cu.K, cu.alpha, a, cu.strideA1, cu.strideA2, cu.offsetA, x, cu.strideX, cu.offsetX, cu.beta, y, cu.strideY, cu.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the second input vector', function test( t ) {
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ out = dsbmv( rl.uplo, rl.N, rl.K, rl.alpha, a, rl.strideA1, rl.strideA2, rl.offsetA, x, rl.strideX, rl.offsetX, rl.beta, y, rl.strideY, rl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constants are zero and unity, respectively, the function returns the second input vector unchanged (row-major)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ expected = new Float64Array( rl.y );
+
+ out = dsbmv( rl.uplo, 0, rl.K, rl.alpha, a, rl.strideA1, rl.strideA2, rl.offsetA, x, rl.strideX, rl.offsetX, rl.beta, y, rl.strideY, rl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ out = dsbmv( rl.uplo, rl.N, rl.K, 0.0, a, rl.strideA1, rl.strideA2, rl.offsetA, x, rl.strideX, rl.offsetX, 1.0, y, rl.strideY, rl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `N` is zero or the scalar constants are zero and unity, respectively, the function returns the second input vector unchanged (column-major)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cl.A );
+ x = new Float64Array( cl.x );
+ y = new Float64Array( cl.y );
+
+ expected = new Float64Array( cl.y );
+
+ out = dsbmv( cl.uplo, 0, cl.K, cl.alpha, a, cl.strideA1, cl.strideA2, cl.offsetA, x, cl.strideX, cl.offsetX, cl.beta, y, cl.strideY, cl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ out = dsbmv( cl.uplo, cl.N, cl.K, 0.0, a, cl.strideA1, cl.strideA2, cl.offsetA, x, cl.strideX, cl.offsetX, 1.0, y, cl.strideY, cl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (row-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( ru.A );
+ x = new Float64Array( ru.x );
+ y = new Float64Array( ru.y );
+
+ expected = new Float64Array( ru.y.length );
+
+ out = dsbmv( ru.uplo, ru.N, ru.K, 0.0, a, ru.strideA1, ru.strideA2, ru.offsetA, x, ru.strideX, ru.offsetX, 0.0, y, ru.strideY, ru.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (row-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rl.A );
+ x = new Float64Array( rl.x );
+ y = new Float64Array( rl.y );
+
+ expected = new Float64Array( rl.y.length );
+
+ out = dsbmv( rl.uplo, rl.N, rl.K, 0.0, a, rl.strideA1, rl.strideA2, rl.offsetA, x, rl.strideX, rl.offsetX, 0.0, y, rl.strideY, rl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (column-major, upper)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cu.A );
+ x = new Float64Array( cu.x );
+ y = new Float64Array( cu.y );
+
+ expected = new Float64Array( cu.y.length );
+
+ out = dsbmv( cu.uplo, cu.N, cu.K, 0.0, a, cu.strideA1, cu.strideA2, cu.offsetA, x, cu.strideX, cu.offsetX, 0.0, y, cu.strideY, cu.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'when `α` is zero, the function scales the second input vector (column-major, lower)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cl.A );
+ x = new Float64Array( cl.x );
+ y = new Float64Array( cl.y );
+
+ expected = new Float64Array( cl.y.length );
+
+ out = dsbmv( cl.uplo, cl.N, cl.K, 0, a, cl.strideA1, cl.strideA2, cl.offsetA, x, cl.strideX, cl.offsetX, 0.0, y, cl.strideY, cl.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, oa=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( roa.A );
+ x = new Float64Array( roa.x );
+ y = new Float64Array( roa.y );
+
+ expected = new Float64Array( roa.y_out );
+
+ out = dsbmv( roa.uplo, roa.N, roa.K, roa.alpha, a, roa.strideA1, roa.strideA2, roa.offsetA, x, roa.strideX, roa.offsetX, roa.beta, y, roa.strideY, roa.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, oa=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( coa.A );
+ x = new Float64Array( coa.x );
+ y = new Float64Array( coa.y );
+
+ expected = new Float64Array( coa.y_out );
+
+ out = dsbmv( coa.uplo, coa.N, coa.K, coa.alpha, a, coa.strideA1, coa.strideA2, coa.offsetA, x, coa.strideX, coa.offsetX, coa.beta, y, coa.strideY, coa.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sa1=2, sa2=3)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rsa1sa2.A );
+ x = new Float64Array( rsa1sa2.x );
+ y = new Float64Array( rsa1sa2.y );
+
+ expected = new Float64Array( rsa1sa2.y_out );
+
+ out = dsbmv( rsa1sa2.uplo, rsa1sa2.N, rsa1sa2.K, rsa1sa2.alpha, a, rsa1sa2.strideA1, rsa1sa2.strideA2, rsa1sa2.offsetA, x, rsa1sa2.strideX, rsa1sa2.offsetX, rsa1sa2.beta, y, rsa1sa2.strideY, rsa1sa2.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sa1=3, sa2=2)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( csa1sa2.A );
+ x = new Float64Array( csa1sa2.x );
+ y = new Float64Array( csa1sa2.y );
+
+ expected = new Float64Array( csa1sa2.y_out );
+
+ out = dsbmv( csa1sa2.uplo, csa1sa2.N, csa1sa2.K, csa1sa2.alpha, a, csa1sa2.strideA1, csa1sa2.strideA2, csa1sa2.offsetA, x, csa1sa2.strideX, csa1sa2.offsetX, csa1sa2.beta, y, csa1sa2.strideY, csa1sa2.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sa1=-2, sa2=3)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rsa1nsa2.A );
+ x = new Float64Array( rsa1nsa2.x );
+ y = new Float64Array( rsa1nsa2.y );
+
+ expected = new Float64Array( rsa1nsa2.y_out );
+
+ out = dsbmv( rsa1nsa2.uplo, rsa1nsa2.N, rsa1nsa2.K, rsa1nsa2.alpha, a, rsa1nsa2.strideA1, rsa1nsa2.strideA2, rsa1nsa2.offsetA, x, rsa1nsa2.strideX, rsa1nsa2.offsetX, rsa1nsa2.beta, y, rsa1nsa2.strideY, rsa1nsa2.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sa1=-3, sa2=2)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( csa1nsa2.A );
+ x = new Float64Array( csa1nsa2.x );
+ y = new Float64Array( csa1nsa2.y );
+
+ expected = new Float64Array( csa1nsa2.y_out );
+
+ out = dsbmv( csa1nsa2.uplo, csa1nsa2.N, csa1nsa2.K, csa1nsa2.alpha, a, csa1nsa2.strideA1, csa1nsa2.strideA2, csa1nsa2.offsetA, x, csa1nsa2.strideX, csa1nsa2.offsetX, csa1nsa2.beta, y, csa1nsa2.strideY, csa1nsa2.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sa1=2, sa2=-3)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rsa1sa2n.A );
+ x = new Float64Array( rsa1sa2n.x );
+ y = new Float64Array( rsa1sa2n.y );
+
+ expected = new Float64Array( rsa1sa2n.y_out );
+
+ out = dsbmv( rsa1sa2n.uplo, rsa1sa2n.N, rsa1sa2n.K, rsa1sa2n.alpha, a, rsa1sa2n.strideA1, rsa1sa2n.strideA2, rsa1sa2n.offsetA, x, rsa1sa2n.strideX, rsa1sa2n.offsetX, rsa1sa2n.beta, y, rsa1sa2n.strideY, rsa1sa2n.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sa1=3, sa2=-2)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( csa1sa2n.A );
+ x = new Float64Array( csa1sa2n.x );
+ y = new Float64Array( csa1sa2n.y );
+
+ expected = new Float64Array( csa1sa2n.y_out );
+
+ out = dsbmv( csa1sa2n.uplo, csa1sa2n.N, csa1sa2n.K, csa1sa2n.alpha, a, csa1sa2n.strideA1, csa1sa2n.strideA2, csa1sa2n.offsetA, x, csa1sa2n.strideX, csa1sa2n.offsetX, csa1sa2n.beta, y, csa1sa2n.strideY, csa1sa2n.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sa1=-2, sa2=-3)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rsa1nsa2n.A );
+ x = new Float64Array( rsa1nsa2n.x );
+ y = new Float64Array( rsa1nsa2n.y );
+
+ expected = new Float64Array( rsa1nsa2n.y_out );
+
+ out = dsbmv( rsa1nsa2n.uplo, rsa1nsa2n.N, rsa1nsa2n.K, rsa1nsa2n.alpha, a, rsa1nsa2n.strideA1, rsa1nsa2n.strideA2, rsa1nsa2n.offsetA, x, rsa1nsa2n.strideX, rsa1nsa2n.offsetX, rsa1nsa2n.beta, y, rsa1nsa2n.strideY, rsa1nsa2n.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sa1=-3, sa2=-2)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( csa1nsa2n.A );
+ x = new Float64Array( csa1nsa2n.x );
+ y = new Float64Array( csa1nsa2n.y );
+
+ expected = new Float64Array( csa1nsa2n.y_out );
+
+ out = dsbmv( csa1nsa2n.uplo, csa1nsa2n.N, csa1nsa2n.K, csa1nsa2n.alpha, a, csa1nsa2n.strideA1, csa1nsa2n.strideA2, csa1nsa2n.offsetA, x, csa1nsa2n.strideX, csa1nsa2n.offsetX, csa1nsa2n.beta, y, csa1nsa2n.strideY, csa1nsa2n.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sx=1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxpyp.A );
+ x = new Float64Array( rxpyp.x );
+ y = new Float64Array( rxpyp.y );
+
+ expected = new Float64Array( rxpyp.y_out );
+
+ out = dsbmv( rxpyp.uplo, rxpyp.N, rxpyp.K, rxpyp.alpha, a, rxpyp.strideA1, rxpyp.strideA2, rxpyp.offsetA, x, rxpyp.strideX, rxpyp.offsetX, rxpyp.beta, y, rxpyp.strideY, rxpyp.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sx=1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxpyp.A );
+ x = new Float64Array( cxpyp.x );
+ y = new Float64Array( cxpyp.y );
+
+ expected = new Float64Array( cxpyp.y_out );
+
+ out = dsbmv( cxpyp.uplo, cxpyp.N, cxpyp.K, cxpyp.alpha, a, cxpyp.strideA1, cxpyp.strideA2, cxpyp.offsetA, x, cxpyp.strideX, cxpyp.offsetX, cxpyp.beta, y, cxpyp.strideY, cxpyp.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sx=1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxpyn.A );
+ x = new Float64Array( rxpyn.x );
+ y = new Float64Array( rxpyn.y );
+
+ expected = new Float64Array( rxpyn.y_out );
+
+ out = dsbmv( rxpyn.uplo, rxpyn.N, rxpyn.K, rxpyn.alpha, a, rxpyn.strideA1, rxpyn.strideA2, rxpyn.offsetA, x, rxpyn.strideX, rxpyn.offsetX, rxpyn.beta, y, rxpyn.strideY, rxpyn.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sx=1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxpyn.A );
+ x = new Float64Array( cxpyn.x );
+ y = new Float64Array( cxpyn.y );
+
+ expected = new Float64Array( cxpyn.y_out );
+
+ out = dsbmv( cxpyn.uplo, cxpyn.N, cxpyn.K, cxpyn.alpha, a, cxpyn.strideA1, cxpyn.strideA2, cxpyn.offsetA, x, cxpyn.strideX, cxpyn.offsetX, cxpyn.beta, y, cxpyn.strideY, cxpyn.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sx=-1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxnyp.A );
+ x = new Float64Array( rxnyp.x );
+ y = new Float64Array( rxnyp.y );
+
+ expected = new Float64Array( rxnyp.y_out );
+
+ out = dsbmv( rxnyp.uplo, rxnyp.N, rxnyp.K, rxnyp.alpha, a, rxnyp.strideA1, rxnyp.strideA2, rxnyp.offsetA, x, rxnyp.strideX, rxnyp.offsetX, rxnyp.beta, y, rxnyp.strideY, rxnyp.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sx=-1, sy=1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxnyp.A );
+ x = new Float64Array( cxnyp.x );
+ y = new Float64Array( cxnyp.y );
+
+ expected = new Float64Array( cxnyp.y_out );
+
+ out = dsbmv( cxnyp.uplo, cxnyp.N, cxnyp.K, cxnyp.alpha, a, cxnyp.strideA1, cxnyp.strideA2, cxnyp.offsetA, x, cxnyp.strideX, cxnyp.offsetX, cxnyp.beta, y, cxnyp.strideY, cxnyp.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (row-major, sx=-1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rxnyn.A );
+ x = new Float64Array( rxnyn.x );
+ y = new Float64Array( rxnyn.y );
+
+ expected = new Float64Array( rxnyn.y_out );
+
+ out = dsbmv( rxnyn.uplo, rxnyn.N, rxnyn.K, rxnyn.alpha, a, rxnyn.strideA1, rxnyn.strideA2, rxnyn.offsetA, x, rxnyn.strideX, rxnyn.offsetX, rxnyn.beta, y, rxnyn.strideY, rxnyn.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function performs the matrix-vector operation `y = alpha*A*x + beta*y` where `alpha` and `beta` are scalars, `x` and `y` are `n` element vectors, and `A` is an `n` by `n` banded symmetric matrix (column-major, sx=-1, sy=-1)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cxnyn.A );
+ x = new Float64Array( cxnyn.x );
+ y = new Float64Array( cxnyn.y );
+
+ expected = new Float64Array( cxnyn.y_out );
+
+ out = dsbmv( cxnyn.uplo, cxnyn.N, cxnyn.K, cxnyn.alpha, a, cxnyn.strideA1, cxnyn.strideA2, cxnyn.offsetA, x, cxnyn.strideX, cxnyn.offsetX, cxnyn.beta, y, cxnyn.strideY, cxnyn.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (row-major)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( rap.A );
+ x = new Float64Array( rap.x );
+ y = new Float64Array( rap.y );
+
+ expected = new Float64Array( rap.y_out );
+
+ out = dsbmv( rap.uplo, rap.N, rap.K, rap.alpha, a, rap.strideA1, rap.strideA2, rap.offsetA, x, rap.strideX, rap.offsetX, rap.beta, y, rap.strideY, rap.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports complex access patterns (column-major)', function test( t ) {
+ var expected;
+ var out;
+ var a;
+ var x;
+ var y;
+
+ a = new Float64Array( cap.A );
+ x = new Float64Array( cap.x );
+ y = new Float64Array( cap.y );
+
+ expected = new Float64Array( cap.y_out );
+
+ out = dsbmv( cap.uplo, cap.N, cap.K, cap.alpha, a, cap.strideA1, cap.strideA2, cap.offsetA, x, cap.strideX, cap.offsetX, cap.beta, y, cap.strideY, cap.offsetY );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.deepEqual( y, expected, 'returns expected value' );
+
+ t.end();
+});