diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/README.md b/lib/node_modules/@stdlib/blas/base/ssbmv/README.md
new file mode 100644
index 000000000000..bc380f1c3a45
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/README.md
@@ -0,0 +1,313 @@
+
+
+# ssbmv
+
+> Perform one of the matrix-vector operations `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 matrix, with k super-diagonals.
+
+
+
+## Usage
+
+```javascript
+var ssbmv = require( '@stdlib/blas/base/ssbmv' );
+```
+
+#### ssbmv( ord, uplo, N, k, a, A, LDA, x, sx, b, y, sy )
+
+Performs one of the matrix-vector operations `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 matrix, with k super-diagonals.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var uplo = 'L';
+var order = 'row-major';
+
+var N = 3;
+var k = 1;
+var lda = 3;
+
+var alpha = 1.0;
+var beta = 0.0;
+
+var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+var y = new Float32Array( [ 0.0, 0.0, 0.0 ] );
+
+ssbmv( order, uplo, N, k, alpha, A, lda, x, 1, beta, y, 1 );
+// y => [ 3.0, 6.0, 4.0 ]
+```
+
+The function has the following parameters:
+
+- **ord**: storage layout.
+- **uplo**: specifies the operation to be performed.
+- **N**: specifies the order of the matrix `A`.
+- **k**: number of super-diagonals.
+- **a**: scalar constant.
+- **A**: matrix of coefficients [`Float32Array`][mdn-float32array].
+- **lda**: stride of the first dimension of `A` (leading dimension of `A`).
+- **x**: input [`Float32Array`][mdn-float32array].
+- **sx**: index increment for `x`.
+- **b**: scalar constant.
+- **y**: output [`Float32Array`][mdn-float32array].
+- **sy**: index increment for `y`.
+
+The stride parameters determine how operations are performed. For example, to
+perform one of the matrix-vector operations starting from the second index of `x`,
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var uplo = 'U';
+var order = 'row-major';
+
+var N = 3;
+var k = 1;
+var lda = 3;
+
+var alpha = 2.0;
+var beta = 1.0;
+
+var A = new Float32Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] );
+var x = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+var y = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+
+ssbmv( order, uplo, N, k, alpha, A, lda, x, -1, beta, y, 1 );
+// y => [ 9.0, 36.0, 25.0 ]
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+// Initial arrays...
+var x0 = new Float32Array( [ 1.0, 1.0, 1.0, 1.0 ] );
+var y0 = new Float32Array( [ 1.0, 1.0, 1.0, 1.0 ] );
+var A = new Float32Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] );
+
+// Create offset views...
+var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 1st element
+var y1 = new Float32Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 1st element
+
+ssbmv( 'row-major', 'U', 3, 1, 1.0, A, 3, x1, -1, 1.0, y1, -1 );
+// y0 => [ 1.0, 9.0, 10.0, 3.0 ]
+```
+
+#### ssbmv.ndarray( ord, uplo, N, k, a, A, LDA, x, sx, ox, b, y, sy, oy )
+
+Performs one of the matrix-vector operations `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 matrix, with k super-diagonals using alternative indexing semantics.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var uplo = 'U';
+var order = 'row-major';
+
+var N = 3;
+var k = 1;
+var lda = 3;
+
+var alpha = 2.0;
+var beta = 1.0;
+
+var A = new Float32Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] );
+var x = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+var y = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+
+ssbmv.ndarray( order, uplo, N, k, alpha, A, lda, x, -1, 2, beta, y, 1, 0 );
+// y => [ 9.0, 36.0, 25.0 ]
+```
+
+The function has the following additional parameters:
+
+- **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, to perform operation with given `x` and `y` offset values`,...,
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var uplo = 'L';
+var order = 'row-major';
+
+var N = 3;
+var k = 1;
+var lda = 3;
+
+var alpha = 1.0;
+var beta = 1.0;
+
+var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+var y = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+
+ssbmv.ndarray( order, uplo, N, k, alpha, A, lda, x, -1, 2, beta, y, -1, 2 );
+// y => [ 5.0, 7.0, 4.0 ]
+```
+
+
+
+
+
+
+
+## Notes
+
+- `ssbmv()` corresponds to the [BLAS][blas] level 2 function [`ssbmv`][ssbmv].
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ssbmv = require( '@stdlib/blas/base/ssbmv' );
+
+var opts = {
+ 'dtype': 'float32'
+};
+
+var uplo = 'U';
+
+var N = 3;
+var k = 1;
+var lda = 3;
+
+var alpha = 1;
+var beta = 1;
+
+var A = discreteUniform( N*N, 0, 255, opts );
+
+var x = discreteUniform( N, 0, 255, opts );
+var y = discreteUniform( N, 0, 255, opts );
+
+ssbmv.ndarray( 'row-major', uplo, N, k, alpha, A, lda, x, 1, 0, beta, y, 1, 0 );
+console.log( y );
+
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/blas/base/ssbmv.h"
+```
+
+#### TODO
+
+TODO.
+
+```c
+TODO
+```
+
+TODO
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+TODO
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[blas]: http://www.netlib.org/blas
+
+[ssbmv]: https://netlib.org/lapack/explore-html/d2/d94/ssbmv_8f.html
+
+[mdn-float32array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Float32Array
+
+[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/ssbmv/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/ssbmv/benchmark/benchmark.js
new file mode 100644
index 000000000000..2370f87fc0be
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/benchmark/benchmark.js
@@ -0,0 +1,104 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 pkg = require( './../package.json' ).name;
+var ssbmv = require( './../lib/ssbmv.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// 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 = uniform( len*len, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var z;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = ssbmv( 'row-major', 'U', len, 1, 1.0, A, len, 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 min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 4; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( pkg+':len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/base/ssbmv/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..9002151288e1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/benchmark/benchmark.ndarray.js
@@ -0,0 +1,104 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 pkg = require( './../package.json' ).name;
+var ssbmv = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// 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 = uniform( len*len, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var z;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ z = ssbmv( 'row-major', 'U', len, 1, 1.0, A, len, 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 min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 4; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( pkg+':ndarray:len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/ssbmv/docs/repl.txt
new file mode 100644
index 000000000000..c2c1ddb306a8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/docs/repl.txt
@@ -0,0 +1,165 @@
+
+{{alias}}( od, uplo, N, k, a, A, lda, x, sx, b, y, sy )
+ Perform one of the matrix-vector operations `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 matrix, with k super-diagonals.
+
+ The stride parameters determine how operations are performed.
+
+ 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 `a` equals `0` and b equals `1`, the function returns `y`
+ unchanged.
+
+ Parameters
+ ----------
+ od: string
+ Row-major (C-style) or column-major (Fortran-style) oder.
+
+ uplo: string
+ Specifies whether `A` is upper or lower triangular matrix.
+
+ N: integer
+ Specifies the order of the matrix `A`.
+
+ k: integer
+ Specifies the number of super-diagonals.
+
+ a: number
+ Scalar.
+
+ A: Float32Array
+ Matrix.
+
+ lda: integer
+ Leading dimension.
+
+ x: Float32Array
+ Input vector `x`.
+
+ sx: integer
+ Index increment for `x`.
+
+ b: number
+ Scalar.
+
+ y: Float32Array
+ Input/output vector `y`.
+
+ sy: integer
+ Index increment for `y`.
+
+ Returns
+ -------
+ y: Float32Array
+ Output array.
+
+ Examples
+ --------
+ // Standard usage:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > {{alias}}( 'row-major', 'U', 2, 1, 1.0, A, 2, x, 1, 1.0, y, 1 )
+ [ 6.0, 7.0 ]
+
+ // Advanced indexing:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > {{alias}}( 'row-major', 'U', 2, 1, 1.0, A, 2, x, -1, 1.0, y, -1 )
+ [ 7.0, 6.0 ]
+
+ // Using typed array views:
+ > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var y0 = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 0.0, 3.0 ] );
+ > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*0 );
+ > var y1 = new {{alias:@stdlib/array/float32}}( y0.buffer, y0.BYTES_PER_ELEMENT*0 );
+ > {{alias}}( 'row-major', 'U', 2, 1, 1.0, A, 2, x1, 1, 1.0, y1, 1 )
+ > y0
+ [ 3.0, 6.0 ]
+
+
+{{alias}}.ndarray( od, uplo, N, k, a, A, lda, x, sx, ox, b, y, sy, oy )
+ Perform one of the matrix-vector operations `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 matrix, with k super-diagonals using alternative
+ indexing semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ od: string
+ Row-major (C-style) or column-major (Fortran-style) oder.
+
+ uplo: string
+ Specifies whether `A` is upper or lower triangular matrix.
+
+ N: integer
+ Specifies the order of the matrix `A`.
+
+ k: integer
+ Specifies the number of super-diagonals.
+
+ a: number
+ Scalar.
+
+ A: Float32Array
+ Matrix.
+
+ lda: integer
+ Leading dimension.
+
+ x: Float32Array
+ Input vector `x`.
+
+ sx: integer
+ Index increment for `x`.
+
+ ox: integer
+ Starting index for `x`.
+
+ b: number
+ Scalar.
+
+ y: Float32Array
+ Input/output vector `y`.
+
+ sy: integer
+ Index increment for `y`.
+
+ oy: integer
+ Starting index for `y`.
+
+ Returns
+ -------
+ y: Float32Array
+ Output array.
+
+ Examples
+ --------
+ // Standard usage:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > var od = 'row-major';
+ > {{alias}}.ndarray( od, 'U', 2, 1, 1.0, A, 2, x, 1, 0, 1.0, y, 1, 0 )
+ [ 6.0, 7.0 ]
+
+ // Advanced indexing:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var y = new {{alias:@stdlib/array/float32}}( [ 1.0, 1.0 ] );
+ > var A = new {{alias:@stdlib/array/float32}}( [ 1.0, 2.0, 3.0, 4.0 ] );
+ > var od = 'row-major';
+ > {{alias}}.ndarray( od, 'U', 2, 1, 1.0, A, 2, x, -1, 1, 1.0, y, -1, 1 )
+ [ 7.0, 6.0 ]
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/ssbmv/docs/types/index.d.ts
new file mode 100644
index 000000000000..46be7abf29c8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/docs/types/index.d.ts
@@ -0,0 +1,168 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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
+
+/**
+* Interface describing `ssbmv`.
+*/
+interface Routine {
+ /**
+ * Performs one of the matrix-vector operations `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 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
+ * @param alpha - scalar constant
+ * @param A - matrix of coefficients
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @param x - an `M` element vector
+ * @param strideX - `x` stride length
+ * @param beta - scalar constant
+ * @param y - an `N` element vector
+ * @param strideY - `y` stride length
+ * @returns output array `y`
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var uplo = 'L';
+ * var order = 'row-major';
+ *
+ * var N = 3;
+ * var k = 1;
+ * var lda = 3;
+ *
+ * var alpha = 1.0;
+ * var beta = 0.0;
+ *
+ * var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+ * var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+ * var y = new Float32Array( [ 0.0, 0.0, 0.0 ] );
+ *
+ * ssbmv( order, uplo, N, k, alpha, A, lda, x, 1, beta, y, 1 );
+ * // y => [ 3.0, 6.0, 4.0 ]
+ */
+ ( order: string, uplo: string, N: number, k: number, alpha: number, A: Float32Array, LDA: number, x: Float32Array, strideX: number, beta: number, y: Float32Array, strideY: number ): Float32Array;
+
+ /**
+ * Performs one of the matrix-vector operations `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 matrix, with k super-diagonals using alternative indexing semantics.
+ *
+ * @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
+ * @param alpha - scalar constant
+ * @param A - matrix of coefficients
+ * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+ * @param x - an `M` element vector
+ * @param strideX - `x` stride length
+ * @param offsetX - `x` index offset
+ * @param beta - scalar constant
+ * @param y - an `N` element vector
+ * @param strideY - `y` stride length
+ * @param offsetY - `y` index offset
+ * @returns output array `y`
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var uplo = 'L';
+ * var order = 'row-major';
+ *
+ * var N = 3;
+ * var k = 1;
+ * var lda = 3;
+ *
+ * var alpha = 1.0;
+ * var beta = 0.0;
+ *
+ * var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+ * var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+ * var y = new Float32Array( [ 0.0, 0.0, 0.0 ] );
+ *
+ * ssbmv.ndarray( order, uplo, N, k, alpha, A, lda, x, 1, 0, beta, y, 1, 0 );
+ * // y => [ 3.0, 6.0, 4.0 ]
+ */
+ ndarray( order: string, uplo: string, N: number, k: number, alpha: number, A: Float32Array, LDA: number, x: Float32Array, strideX: number, offsetX: number, beta: number, y: Float32Array, strideY: number, offsetY: number ): Float32Array;
+}
+
+/**
+* Performs one of the matrix-vector operations `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 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
+* @param alpha - scalar constant
+* @param A - matrix of coefficients
+* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param x - an `M` element vector
+* @param strideX - `x` stride length
+* @param beta - scalar constant
+* @param y - an `N` element vector
+* @param strideY - `y` stride length
+* @returns output array `y`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var uplo = 'U';
+* var order = 'row-major';
+*
+* var N = 3;
+* var k = 1;
+* var lda = 3;
+*
+* var alpha = 2.0;
+* var beta = 1.0;
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] );
+* var x = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+*
+* ssbmv( order, uplo, N, k, alpha, A, lda, x, -1, beta, y, 1 );
+* // y => [ 9.0, 36.0, 25.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var uplo = 'U';
+* var order = 'row-major';
+*
+* var N = 3;
+* var k = 1;
+* var lda = 3;
+*
+* var alpha = 2.0;
+* var beta = 1.0;
+*
+* var A = new Float32Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] );
+* var x = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+* var y = new Float32Array( [ 1.0, 2.0, 3.0 ] );
+*
+* ssbmv.ndarray( order, uplo, N, alpha, A, lda, x, -1, 2, beta, y, 1, 0 );
+* // y => [ 9.0, 36.0, 25.0 ]
+*/
+declare var ssbmv: Routine;
+
+
+// EXPORTS //
+
+export = ssbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/ssbmv/docs/types/test.ts
new file mode 100644
index 000000000000..bd28d198d093
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/docs/types/test.ts
@@ -0,0 +1,500 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 ssbmv = require( './index' );
+
+
+// TESTS //
+
+// The function returns a Float32Array...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectType Float32Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 10, 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( true, 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( false, 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( null, 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( undefined, 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( [], 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( {}, 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( ( x: number ): number => x, 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a character...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 10, 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', true, 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', false, 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', null, 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', undefined, 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', [ '1' ], 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', {}, 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', ( x: number ): number => x, 10, 1, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', '10', 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', true, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', false, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', null, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', undefined, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', [], 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', {}, 1, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', ( x: number ): number => x, 1, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, '10', 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, true, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, false, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, null, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, undefined, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, [], 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, {}, 1.0, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, ( x: number ): number => x, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, '10', A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, true, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, false, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, null, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, undefined, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, [], A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, {}, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, ( x: number ): number => x, A, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fsixth argument which is not a Float32Array...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, 10, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, '10', 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, true, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, false, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, null, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, undefined, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, [ '1' ], 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, {}, 10, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, ( x: number ): number => x, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, '10', x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, true, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, false, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, null, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, undefined, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, [], x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, {}, x, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 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 Float32Array...
+{
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, 10, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, '10', 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, true, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, false, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, null, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, undefined, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, [ '1' ], 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, {}, 1, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, ( 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, '10', 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, true, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, false, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, null, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, undefined, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, [], 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, {}, 1.0, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, ( x: number ): number => x, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, '10', y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, true, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, false, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, null, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, undefined, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, [], y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, {}, y, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, 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 Float32Array...
+{
+ const x = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, 10, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, '10', 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, true, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, false, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, null, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, undefined, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, [ '1' ], 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, {}, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, '10' ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, true ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, false ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, null ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, undefined ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, [] ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, {} ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv(); // $ExpectError
+ ssbmv( 'row-major' ); // $ExpectError
+ ssbmv( 'row-major', 'U' ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0 ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y ); // $ExpectError
+ ssbmv( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 1.0, y, 1, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a Float32Array...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectType Float32Array
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a string...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 10, 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( true, 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( false, 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( null, 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( undefined, 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( [], 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( {}, 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( ( x: number ): number => x, 'U', 10, 1, 1.0, A, 10, 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 character...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 10, 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', true, 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', false, 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', null, 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', undefined, 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', [ '1' ], 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', {}, 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', ( x: number ): number => x, 10, 1, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', '10', 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', true, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', false, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', null, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', undefined, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', [], 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', {}, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', ( x: number ): number => x, 1, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, '10', 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, true, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, false, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, null, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, undefined, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, [], 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, {}, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, ( x: number ): number => x, 1.0, A, 10, 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 number...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, '10', A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, true, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, false, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, null, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, undefined, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, [], A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, {}, A, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, ( x: number ): number => x, A, 10, 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 Float32Array...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, 10, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, '10', 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, true, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, false, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, null, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, undefined, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, [ '1' ], 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, {}, 10, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, ( x: number ): number => x, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, '10', x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, true, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, false, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, null, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, undefined, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, [], x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, {}, x, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, ( x: number ): number => x, 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 Float32Array...
+{
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, 10, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, '10', 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, true, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, false, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, null, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, undefined, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, [ '1' ], 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, {}, 1, 0, 1.0, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, ( x: number ): number => 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 number...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, '10', 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, true, 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, false, 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, null, 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, undefined, 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, [], 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, {}, 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, ( x: number ): number => x, 0, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a tenth argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, '10', 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, true, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, false, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, null, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, undefined, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, [], 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, {}, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, ( x: number ): number => x, 1.0, y, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a eleventh argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, '10', y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, true, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, false, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, null, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, undefined, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, [], y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, {}, y, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, ( x: number ): number => x, y, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a twelfth argument which is not a Float32Array...
+{
+ const x = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, 10, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, '10', 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, true, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, false, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, null, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, undefined, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, [ '1' ], 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, {}, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a thirteenth argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, '10', 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, true, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, false, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, null, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, undefined, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, [], 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, {}, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourteenth argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, '10' ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, true ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, false ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, null ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, undefined ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, [] ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, {} ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, 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 Float32Array( 10 );
+ const y = new Float32Array( 10 );
+ const A = new Float32Array( 20 );
+
+ ssbmv.ndarray(); // $ExpectError
+ ssbmv.ndarray( 'row-major' ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U' ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1 ); // $ExpectError
+ ssbmv.ndarray( 'row-major', 'U', 10, 1, 1.0, A, 10, x, 1, 0, 1.0, y, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/examples/index.js b/lib/node_modules/@stdlib/blas/base/ssbmv/examples/index.js
new file mode 100644
index 000000000000..d87d771cf38e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/examples/index.js
@@ -0,0 +1,45 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 */ // FIXME
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var ssbmv = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float32'
+};
+
+var uplo = 'U';
+
+var N = 3;
+var k = 1;
+var lda = 3;
+
+var alpha = 1;
+var beta = 1;
+
+var A = discreteUniform( N*N, 0, 255, opts );
+
+var x = discreteUniform( N, 0, 255, opts );
+var y = discreteUniform( N, 0, 255, opts );
+
+ssbmv.ndarray( 'row-major', uplo, N, k, alpha, A, lda, x, 1, 0, beta, y, 1, 0 );
+console.log( y );
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/lib/index.js b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/index.js
new file mode 100644
index 000000000000..53dcb8bca2fe
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/index.js
@@ -0,0 +1,92 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* BLAS level 2 routine to perform one of the matrix-vector operations `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/ssbmv
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ssbmv = require( '@stdlib/blas/base/ssbmv' );
+*
+* var uplo = 'L';
+* var order = 'row-major';
+*
+* var N = 3;
+* var k = 1;
+* var lda = 3;
+*
+* var alpha = 1.0;
+* var beta = 0.0;
+*
+* var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+* var y = new Float32Array( [ 0.0, 0.0, 0.0 ] );
+*
+* ssbmv( order, uplo, N, k, alpha, A, lda, x, 1, beta, y, 1 );
+* // y => [ 3.0, 6.0, 4.0 ]
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+* var ssbmv = require( '@stdlib/blas/base/ssbmv' );
+*
+* var uplo = 'L';
+* var order = 'row-major';
+*
+* var N = 3;
+* var k = 1;
+* var lda = 3;
+*
+* var alpha = 1.0;
+* var beta = 0.0;
+*
+* var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+* var y = new Float32Array( [ 0.0, 0.0, 0.0 ] );
+*
+* ssbmv.ndarray( order, uplo, N, k, alpha, A, lda, x, 1, 0, beta, y, 1, 0 );
+* // y => [ 3.0, 6.0, 4.0 ]
+*/
+
+// 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 ssbmv;
+var tmp = tryRequire( join( __dirname, './native.js' ) );
+if ( isError( tmp ) ) {
+ ssbmv = main;
+} else {
+ ssbmv = tmp;
+}
+
+
+// EXPORTS //
+
+module.exports = ssbmv;
+
+// exports: { "ndarray": "ssbmv.ndarray" }
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/lib/main.js b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/main.js
new file mode 100644
index 000000000000..187287892c9d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/main.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 ssbmv = require( './ssbmv.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( ssbmv, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = ssbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/lib/ndarray.js b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/ndarray.js
new file mode 100644
index 000000000000..ac293be58b64
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/ndarray.js
@@ -0,0 +1,243 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 */ // FIXME
+
+'use strict';
+
+// MODULES //
+
+var max = require( '@stdlib/math/base/special/max' );
+var min = require( '@stdlib/math/base/special/min' );
+
+// MAIN //
+
+/**
+* Performs one of the matrix-vector operations `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 being supplied
+* @param {NonNegativeInteger} N - specifies the order of matrix `A`
+* @param {NonNegativeInteger} k - number of super-diagonals
+* @param {number} alpha - scalar constant
+* @param {Float32Array} A - matrix of coefficients
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float32Array} x - first input array
+* @param {integer} strideX - `x` stride length
+* @param {NonNegativeInteger} offsetX - `x` starting index
+* @param {number} beta - scalar constant
+* @param {Float32Array} y - second input array
+* @param {integer} strideY - `y` stride length
+* @param {NonNegativeInteger} offsetY - `y` starting index
+* @returns {Float32Array} `y`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var uplo = 'L';
+* var order = 'row-major';
+*
+* var N = 3;
+* var k = 1;
+* var lda = 3;
+*
+* var alpha = 1.0;
+* var beta = 0.0;
+*
+* var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+* var y = new Float32Array( [ 0.0, 0.0, 0.0 ] );
+*
+* ssbmv( order, uplo, N, k, alpha, A, lda, x, 1, beta, y, 1 );
+* // y => [ 3.0, 6.0, 4.0 ]
+*/
+function ssbmv( order, uplo, N, k, alpha, A, LDA, x, strideX, offsetX, beta, y, strideY, offsetY ) {
+ var kplus1;
+ var temp1;
+ var temp2;
+ var info;
+ var ix;
+ var iy;
+ var jx;
+ var jy;
+ var kx;
+ var ky;
+ var i;
+ var j;
+ var l;
+
+ info = 0;
+ if( uplo.toUpperCase() !== 'U' && uplo.toUpperCase() !== 'L' ) {
+ info = 1;
+ } else if( N < 0 ) {
+ info = 2;
+ } else if( k < 0 ) {
+ info = 3;
+ } else if( LDA < ( k + 1 ) ) {
+ info = 6;
+ } else if( strideX === 0 ) {
+ info = 8;
+ } else if( strideY === 0 ) {
+ info = 11;
+ }
+ if( info !== 0 ) {
+ throw new Error( 'ssbmv()::invalid input argument. On input, value of info must be 0. Value provided: ' + info + '.' );
+ }
+ // Quick return if possible:
+
+ if( N === 0 || ( alpha === 0.0 && beta === 1.0 ) ) {
+ return y;
+ }
+ // Set up the start points in `x` and `y` if the stride is negative...
+
+ kx = offsetX;
+ ky = offsetY;
+ // Start the operations...
+
+ if( beta !== 1.0 ) {
+ if( strideY === 1 ) {
+ if( beta === 0.0 ) {
+ for( i = 0; i < N; i++ ) {
+ y[ i ] = 0.0;
+ }
+ } else {
+ for( i = 0; i < N; i++ ) {
+ y[ i ] *= beta;
+ }
+ }
+ } else {
+ iy = ky;
+ if( beta === 0.0 ) {
+ for( i = 0; i < N; i++ ) {
+ y[ iy ] = 0.0;
+ iy += strideY;
+ }
+ } else {
+ for( i = 0; i < N; i++ ) {
+ y[ iy ] *= beta;
+ iy += strideY;
+ }
+ }
+ }
+ }
+ if( alpha === 0.0 ) {
+ return y;
+ }
+ if( uplo.toUpperCase() === 'U' ) {
+ // Form `y` when `A` is stored in upper triangle
+
+ kplus1 = k;
+ if( strideX === 1 && strideY === 1 ) {
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ j ];
+ temp2 = 0.0;
+ l = kplus1 - j;
+ for( i = max( 0, j - k ); i < j; i++ ) {
+ if( order === 'row-major' ) {
+ y[ i ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ i ];
+ } else {
+ y[ i ] += temp1 * A[ ( l + i ) + j * LDA ];
+ temp2 += A[ ( l + i ) + j * LDA ] * x[ i ];
+ }
+ }
+ y[ j ] += temp1 * A[ kplus1 * LDA + j ] + alpha * temp2;
+ }
+ } else {
+ jx = kx;
+ jy = ky;
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ jx ];
+ temp2 = 0.0;
+ ix = kx;
+ iy = ky;
+ l = kplus1 - j;
+ for( i = max( 0, j - k ); i < j; i++ ) {
+ if( order === 'row-major' ) {
+ y[ iy ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ ix ];
+ } else {
+ y[ iy ] += temp1 * A[ ( l + i ) + j * LDA ];
+ temp2 += A[ ( l + i ) + j * LDA ] * x[ ix ];
+ }
+ ix += strideX;
+ iy += strideY;
+ }
+ y[ jy ] += temp1 * A[ kplus1 * LDA + j ] + alpha * temp2;
+ jx += strideX;
+ jy += strideY;
+ if( j >= k ) {
+ kx += strideX;
+ ky += strideY;
+ }
+ }
+ }
+ } else {
+ // Form `y` when `A` is stored in lower triangle
+
+ if( strideX === 1 && strideY === 1 ) {
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ j ];
+ temp2 = 0.0;
+ y[ j ] += temp1 * A[ j ];
+ l = ( - j );
+ for( i = j + 1; i < min( N, j + k + 1 ); i++ ) {
+ if( order === 'row-major' ) {
+ y[ i ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ i ];
+ } else {
+ y[ i ] += temp1 * A[ j * LDA + ( l + i ) ];
+ temp2 += A[ j * LDA + ( l + i ) ] * x[ i ];
+ }
+ }
+ y[ j ] += + alpha * temp2;
+ }
+ } else {
+ jx = kx;
+ jy = ky;
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ jx ];
+ temp2 = 0.0;
+ y[ jy ] += temp1 * A[ j ];
+ l = ( - j );
+ ix = jx;
+ iy = jy;
+ for( i = j + 1; i < min( N, j + k + 1 ); i++ ) {
+ ix += strideX;
+ iy += strideY;
+ if( order === 'row-major' ) {
+ y[ iy ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ ix ];
+ } else {
+ y[ iy ] += temp1 * A[ j * LDA + ( l + i ) ];
+ temp2 += A[ j * LDA + ( l + i ) ] * x[ ix ];
+ }
+ }
+ y[ jy ] += alpha * temp2;
+ jx += strideX;
+ jy += strideY;
+ }
+ }
+ }
+ return y;
+}
+
+
+// EXPORTS //
+
+module.exports = ssbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/lib/ssbmv.js b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/ssbmv.js
new file mode 100644
index 000000000000..d97a1d3bb096
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/lib/ssbmv.js
@@ -0,0 +1,249 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 */ // FIXME
+
+'use strict';
+
+// MODULES //
+
+var max = require( '@stdlib/math/base/special/max' );
+var min = require( '@stdlib/math/base/special/min' );
+
+// MAIN //
+
+/**
+* Performs one of the matrix-vector operations `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 being supplied
+* @param {NonNegativeInteger} N - specifies the order of matrix `A`
+* @param {NonNegativeInteger} k - number of super-diagonals
+* @param {number} alpha - scalar constant
+* @param {Float32Array} A - matrix of coefficients
+* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
+* @param {Float32Array} x - first input array
+* @param {integer} strideX - `x` stride length
+* @param {number} beta - scalar constant
+* @param {Float32Array} y - second input array
+* @param {integer} strideY - `y` stride length
+* @returns {Float32Array} `y`
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var uplo = 'L';
+* var order = 'row-major';
+*
+* var N = 3;
+* var k = 1;
+* var lda = 3;
+*
+* var alpha = 1.0;
+* var beta = 0.0;
+*
+* var A = new Float32Array( [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ] );
+* var x = new Float32Array( [ 1.0, 1.0, 1.0 ] );
+* var y = new Float32Array( [ 0.0, 0.0, 0.0 ] );
+*
+* ssbmv( order, uplo, N, k, alpha, A, lda, x, 1, beta, y, 1 );
+* // y => [ 3.0, 6.0, 4.0 ]
+*/
+function ssbmv( order, uplo, N, k, alpha, A, LDA, x, strideX, beta, y, strideY ) {
+ var kplus1;
+ var temp1;
+ var temp2;
+ var info;
+ var ix;
+ var iy;
+ var jx;
+ var jy;
+ var kx;
+ var ky;
+ var i;
+ var j;
+ var l;
+
+ info = 0;
+ if( uplo.toUpperCase() !== 'U' && uplo.toUpperCase() !== 'L' ) {
+ info = 1;
+ } else if( N < 0 ) {
+ info = 2;
+ } else if( k < 0 ) {
+ info = 3;
+ } else if( LDA < ( k + 1 ) ) {
+ info = 6;
+ } else if( strideX === 0 ) {
+ info = 8;
+ } else if( strideY === 0 ) {
+ info = 11;
+ }
+ if( info !== 0 ) {
+ throw new Error( 'ssbmv()::invalid input argument. On input, value of info must be 0. Value provided: ' + info + '.' );
+ }
+ // Quick return if possible:
+
+ if( N === 0 || ( alpha === 0.0 && beta === 1.0 ) ) {
+ return y;
+ }
+ // Set up the start points in `x` and `y` if the stride is negative...
+
+ if( strideX > 0 ) {
+ kx = 0;
+ } else {
+ kx = ( 1 - N ) * strideX;
+ }
+ if( strideY > 0 ) {
+ ky = 0;
+ } else {
+ ky = ( 1 - N ) * strideY;
+ }
+ // Start the operations...
+
+ if( beta !== 1.0 ) {
+ if( strideY === 1 ) {
+ if( beta === 0.0 ) {
+ for( i = 0; i < N; i++ ) {
+ y[ i ] = 0.0;
+ }
+ } else {
+ for( i = 0; i < N; i++ ) {
+ y[ i ] *= beta;
+ }
+ }
+ } else {
+ iy = ky;
+ if( beta === 0.0 ) {
+ for( i = 0; i < N; i++ ) {
+ y[ iy ] = 0.0;
+ iy += strideY;
+ }
+ } else {
+ for( i = 0; i < N; i++ ) {
+ y[ iy ] *= beta;
+ iy += strideY;
+ }
+ }
+ }
+ }
+ if( alpha === 0.0 ) {
+ return y;
+ }
+ if( uplo.toUpperCase() === 'U' ) {
+ // Form `y` when `A` is stored in upper triangle
+
+ kplus1 = k;
+ if( strideX === 1 && strideY === 1 ) {
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ j ];
+ temp2 = 0.0;
+ l = kplus1 - j;
+ for( i = max( 0, j - k ); i < j; i++ ) {
+ if( order === 'row-major' ) {
+ y[ i ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ i ];
+ } else {
+ y[ i ] += temp1 * A[ ( l + i ) + j * LDA ];
+ temp2 += A[ ( l + i ) + j * LDA ] * x[ i ];
+ }
+ }
+ y[ j ] += temp1 * A[ kplus1 * LDA + j ] + alpha * temp2;
+ }
+ } else {
+ jx = kx;
+ jy = ky;
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ jx ];
+ temp2 = 0.0;
+ ix = kx;
+ iy = ky;
+ l = kplus1 - j;
+ for( i = max( 0, j - k ); i < j; i++ ) {
+ if( order === 'row-major' ) {
+ y[ iy ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ ix ];
+ } else {
+ y[ iy ] += temp1 * A[ ( l + i ) + j * LDA ];
+ temp2 += A[ ( l + i ) + j * LDA ] * x[ ix ];
+ }
+ ix += strideX;
+ iy += strideY;
+ }
+ y[ jy ] += temp1 * A[ kplus1 * LDA + j ] + alpha * temp2;
+ jx += strideX;
+ jy += strideY;
+ if( j >= k ) {
+ kx += strideX;
+ ky += strideY;
+ }
+ }
+ }
+ } else {
+ // Form `y` when `A` is stored in lower triangle
+
+ if( strideX === 1 && strideY === 1 ) {
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ j ];
+ temp2 = 0.0;
+ y[ j ] += temp1 * A[ j ];
+ l = ( - j );
+ for( i = j + 1; i < min( N, j + k + 1 ); i++ ) {
+ if( order === 'row-major' ) {
+ y[ i ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ i ];
+ } else {
+ y[ i ] += temp1 * A[ j * LDA + ( l + i ) ];
+ temp2 += A[ j * LDA + ( l + i ) ] * x[ i ];
+ }
+ }
+ y[ j ] += + alpha * temp2;
+ }
+ } else {
+ jx = kx;
+ jy = ky;
+ for( j = 0; j < N; j++ ) {
+ temp1 = alpha * x[ jx ];
+ temp2 = 0.0;
+ y[ jy ] += temp1 * A[ j ];
+ l = ( - j );
+ ix = jx;
+ iy = jy;
+ for( i = j + 1; i < min( N, j + k + 1 ); i++ ) {
+ ix += strideX;
+ iy += strideY;
+ if( order === 'row-major' ) {
+ y[ iy ] += temp1 * A[ ( l + i ) * LDA + j ];
+ temp2 += A[ ( l + i ) * LDA + j ] * x[ ix ];
+ } else {
+ y[ iy ] += temp1 * A[ j * LDA + ( l + i ) ];
+ temp2 += A[ j * LDA + ( l + i ) ] * x[ ix ];
+ }
+ }
+ y[ jy ] += alpha * temp2;
+ jx += strideX;
+ jy += strideY;
+ }
+ }
+ }
+ return y;
+}
+
+
+// EXPORTS //
+
+module.exports = ssbmv;
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/package.json b/lib/node_modules/@stdlib/blas/base/ssbmv/package.json
new file mode 100644
index 000000000000..77914f76d045
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/package.json
@@ -0,0 +1,68 @@
+{
+ "name": "@stdlib/blas/base/ssbmv",
+ "version": "0.0.0",
+ "description": "Perform one of the matrix-vector operations `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",
+ "ssbmv",
+ "linear",
+ "algebra",
+ "subroutines",
+ "array",
+ "ndarray",
+ "float32",
+ "float",
+ "float32array"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..308c3be89c85
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/REQUIRE
@@ -0,0 +1,2 @@
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xnyn.json b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xnyn.json
new file mode 100644
index 000000000000..f73c098aba6c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xnyn.json
@@ -0,0 +1,15 @@
+{
+ "uplo": "L",
+ "order": "row-major",
+ "N": 3,
+ "k": 1,
+ "alpha": 1.0,
+ "beta": 1.0,
+ "lda": 3,
+ "strideX": -1,
+ "strideY": -1,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 1.0, 1.0 ],
+ "y_out": [ 5.0, 7.0, 4.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xnyp.json b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xnyp.json
new file mode 100644
index 000000000000..ceec07849032
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xnyp.json
@@ -0,0 +1,15 @@
+{
+ "uplo": "U",
+ "order": "row-major",
+ "N": 3,
+ "k": 1,
+ "alpha": 2.0,
+ "beta": 1.0,
+ "lda": 3,
+ "strideX": -1,
+ "strideY": 1,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ],
+ "x": [ 1.0, 2.0, 3.0 ],
+ "y": [ 1.0, 2.0, 3.0 ],
+ "y_out": [ 9.0, 36.0, 25.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xoyt.json b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xoyt.json
new file mode 100644
index 000000000000..04e0e0669697
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xoyt.json
@@ -0,0 +1,15 @@
+{
+ "uplo": "U",
+ "order": "row-major",
+ "N": 3,
+ "k": 1,
+ "alpha": 2.0,
+ "beta": 1.0,
+ "lda": 3,
+ "strideX": 1,
+ "strideY": 2,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ],
+ "x": [ 1.0, 2.0, 3.0 ],
+ "y": [ 1.0, 2.0, 3.0 ],
+ "y_out": [ 9.0, 2.0, 41.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xpyn.json b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xpyn.json
new file mode 100644
index 000000000000..d8c10502b5f6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xpyn.json
@@ -0,0 +1,15 @@
+{
+ "uplo": "U",
+ "order": "row-major",
+ "N": 3,
+ "k": 1,
+ "alpha": 2.0,
+ "beta": 1.0,
+ "lda": 3,
+ "strideX": 1,
+ "strideY": -1,
+ "A": [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 1.0, 2.0, 3.0 ],
+ "y_out": [ 17.0, 20.0, 7.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xpyp.json b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xpyp.json
new file mode 100644
index 000000000000..457fef676c5f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/fixtures/julia/strides_xpyp.json
@@ -0,0 +1,15 @@
+{
+ "uplo": "L",
+ "order": "row-major",
+ "N": 3,
+ "k": 1,
+ "alpha": 1.0,
+ "beta": 0.0,
+ "lda": 3,
+ "strideX": 1,
+ "strideY": 1,
+ "A": [ 1.0, 0.0, 0.0, 2.0, 4.0, 0.0, 3.0, 5.0, 6.0 ],
+ "x": [ 1.0, 1.0, 1.0 ],
+ "y": [ 0.0, 0.0, 0.0 ],
+ "y_out": [ 3.0, 6.0, 4.0 ]
+}
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.js b/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.js
new file mode 100644
index 000000000000..997024f0d260
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 ssbmv = 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 ssbmv, '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 ssbmv.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 ssbmv = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( ssbmv, 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 ssbmv;
+ var main;
+
+ main = require( './../lib/ssbmv.js' );
+
+ ssbmv = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( ssbmv, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.ndarray.js
new file mode 100644
index 000000000000..31ffb5c8c02d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.ndarray.js
@@ -0,0 +1,321 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 Float32Array = require( '@stdlib/array/float32' );
+var EPS = require( '@stdlib/constants/float32/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var ssbmv = require( './../lib/ndarray.js' );
+
+
+// FIXTURES //
+
+var stridexoyt = require( './fixtures/julia/strides_xoyt.json' );
+var stridexpyp = require( './fixtures/julia/strides_xpyp.json' );
+var stridexnyp = require( './fixtures/julia/strides_xnyp.json' );
+var stridexpyn = require( './fixtures/julia/strides_xpyn.json' );
+var stridexnyn = require( './fixtures/julia/strides_xnyn.json' );
+
+
+// FUNCTIONS //
+
+/**
+* Tests for element-wise approximate equality.
+*
+* @private
+* @param {Object} t - test object
+* @param {Collection} actual - actual values
+* @param {Collection} expected - expected values
+* @param {number} rtol - relative tolerance
+*/
+function isApprox( t, actual, expected, rtol ) {
+ var delta;
+ var tol;
+ var i;
+
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ for ( i = 0; i < expected.length; i++ ) {
+ if ( actual[ i ] === expected[ i ] ) {
+ t.strictEqual( actual[ i ], expected[ i ], 'returns expected value' );
+ } else {
+ delta = abs( actual[ i ] - expected[ i ] );
+ tol = rtol * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. actual: '+actual[ i ]+'. expected: '+expected[ i ]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof ssbmv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 14', function test( t ) {
+ t.strictEqual( ssbmv.length, 14, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs one of the matrix-vector operations matrix-vector operations `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 matrix, with k super-diagonals, with k super-diagonals (sx=1, sy=1)', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexpyp.order;
+ uplo = stridexpyp.uplo;
+
+ n = stridexpyp.N;
+ lda = stridexpyp.lda;
+ k = stridexpyp.k;
+
+ strideX = stridexpyp.strideX;
+ strideY = stridexpyp.strideY;
+
+ alpha = stridexpyp.alpha;
+ beta = stridexpyp.beta;
+
+ a = new Float32Array( stridexpyp.A );
+ x = new Float32Array( stridexpyp.x );
+ y = new Float32Array( stridexpyp.y );
+
+ expected = new Float32Array( stridexpyp.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, 0, beta, y, strideY, 0 ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs one of the matrix-vector operations matrix-vector operations `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 matrix, with k super-diagonals (sx=1, sy=2)', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexoyt.order;
+ uplo = stridexoyt.uplo;
+
+ n = stridexoyt.N;
+ lda = stridexoyt.lda;
+ k = stridexpyp.k;
+
+ strideX = stridexoyt.strideX;
+ strideY = stridexoyt.strideY;
+
+ alpha = stridexoyt.alpha;
+ beta = stridexoyt.beta;
+
+ a = new Float32Array( stridexoyt.A );
+ x = new Float32Array( stridexoyt.x );
+ y = new Float32Array( stridexoyt.y );
+
+ expected = new Float32Array( stridexoyt.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, 0, beta, y, strideY, 0 ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports an `x` offset', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexnyp.order;
+ uplo = stridexnyp.uplo;
+
+ n = stridexnyp.N;
+ k = stridexnyp.k;
+ lda = stridexnyp.lda;
+
+ strideX = stridexnyp.strideX;
+ strideY = stridexnyp.strideY;
+
+ alpha = stridexnyp.alpha;
+ beta = stridexnyp.beta;
+
+ a = new Float32Array( stridexnyp.A );
+ x = new Float32Array( stridexnyp.x );
+ y = new Float32Array( stridexnyp.y );
+
+ expected = new Float32Array( stridexnyp.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, 2, beta, y, strideY, 0 ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a `y` offset', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexpyn.order;
+ uplo = stridexpyn.uplo;
+
+ n = stridexpyn.N;
+ k = stridexpyn.k;
+ lda = stridexpyn.lda;
+
+ strideX = stridexpyn.strideX;
+ strideY = stridexpyn.strideY;
+
+ alpha = stridexpyn.alpha;
+ beta = stridexpyn.beta;
+
+ a = new Float32Array( stridexpyn.A );
+ x = new Float32Array( stridexpyn.x );
+ y = new Float32Array( stridexpyn.y );
+
+ expected = new Float32Array( stridexpyn.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, 0, beta, y, strideY, 2 ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns a reference to the second input array', function test( t ) {
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexpyp.order;
+ uplo = stridexpyp.uplo;
+
+ n = stridexpyp.N;
+ k = stridexpyp.k;
+ lda = stridexpyp.lda;
+
+ strideX = stridexpyp.strideX;
+ strideY = stridexpyp.strideY;
+
+ alpha = stridexpyp.alpha;
+ beta = stridexpyp.beta;
+
+ a = new Float32Array( stridexpyp.A );
+ x = new Float32Array( stridexpyp.x );
+ y = new Float32Array( stridexpyp.y );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, 0, beta, y, strideY, 0 ); // eslint-disable-line max-len
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports complex access patterns', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexnyn.order;
+ uplo = stridexnyn.uplo;
+
+ n = stridexnyn.N;
+ k = stridexnyn.k;
+ lda = stridexnyn.lda;
+
+ strideX = stridexnyn.strideX;
+ strideY = stridexnyn.strideY;
+
+ alpha = stridexnyn.alpha;
+ beta = stridexnyn.beta;
+
+ a = new Float32Array( stridexnyn.A );
+ x = new Float32Array( stridexnyn.x );
+ y = new Float32Array( stridexnyn.y );
+
+ expected = new Float32Array( stridexnyn.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, 2, beta, y, strideY, 2 ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.ssbmv.js b/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.ssbmv.js
new file mode 100644
index 000000000000..ef643d3c6151
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/base/ssbmv/test/test.ssbmv.js
@@ -0,0 +1,321 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2024 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 Float32Array = require( '@stdlib/array/float32' );
+var EPS = require( '@stdlib/constants/float32/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var ssbmv = require( './../lib/ssbmv.js' );
+
+
+// FIXTURES //
+
+var stridexoyt = require( './fixtures/julia/strides_xoyt.json' );
+var stridexpyp = require( './fixtures/julia/strides_xpyp.json' );
+var stridexnyp = require( './fixtures/julia/strides_xnyp.json' );
+var stridexpyn = require( './fixtures/julia/strides_xpyn.json' );
+var stridexnyn = require( './fixtures/julia/strides_xnyn.json' );
+
+
+// FUNCTIONS //
+
+/**
+* Tests for element-wise approximate equality.
+*
+* @private
+* @param {Object} t - test object
+* @param {Collection} actual - actual values
+* @param {Collection} expected - expected values
+* @param {number} rtol - relative tolerance
+*/
+function isApprox( t, actual, expected, rtol ) {
+ var delta;
+ var tol;
+ var i;
+
+ t.strictEqual( actual.length, expected.length, 'returns expected value' );
+ for ( i = 0; i < expected.length; i++ ) {
+ if ( actual[ i ] === expected[ i ] ) {
+ t.strictEqual( actual[ i ], expected[ i ], 'returns expected value' );
+ } else {
+ delta = abs( actual[ i ] - expected[ i ] );
+ tol = rtol * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. actual: '+actual[ i ]+'. expected: '+expected[ i ]+'. delta: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof ssbmv, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 12', function test( t ) {
+ t.strictEqual( ssbmv.length, 12, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs one of the matrix-vector operations matrix-vector operations `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 matrix, with k super-diagonals, with k super-diagonals (sx=1, sy=1)', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexpyp.order;
+ uplo = stridexpyp.uplo;
+
+ n = stridexpyp.N;
+ lda = stridexpyp.lda;
+ k = stridexpyp.k;
+
+ strideX = stridexpyp.strideX;
+ strideY = stridexpyp.strideY;
+
+ alpha = stridexpyp.alpha;
+ beta = stridexpyp.beta;
+
+ a = new Float32Array( stridexpyp.A );
+ x = new Float32Array( stridexpyp.x );
+ y = new Float32Array( stridexpyp.y );
+
+ expected = new Float32Array( stridexpyp.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, beta, y, strideY ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function performs one of the matrix-vector operations matrix-vector operations `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 matrix, with k super-diagonals (sx=1, sy=2)', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexoyt.order;
+ uplo = stridexoyt.uplo;
+
+ n = stridexoyt.N;
+ lda = stridexoyt.lda;
+ k = stridexpyp.k;
+
+ strideX = stridexoyt.strideX;
+ strideY = stridexoyt.strideY;
+
+ alpha = stridexoyt.alpha;
+ beta = stridexoyt.beta;
+
+ a = new Float32Array( stridexoyt.A );
+ x = new Float32Array( stridexoyt.x );
+ y = new Float32Array( stridexoyt.y );
+
+ expected = new Float32Array( stridexoyt.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, beta, y, strideY ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function a negative `x` stride', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexnyp.order;
+ uplo = stridexnyp.uplo;
+
+ n = stridexnyp.N;
+ lda = stridexnyp.lda;
+ k = stridexnyp.k;
+
+ strideX = stridexnyp.strideX;
+ strideY = stridexnyp.strideY;
+
+ alpha = stridexnyp.alpha;
+ beta = stridexnyp.beta;
+
+ a = new Float32Array( stridexnyp.A );
+ x = new Float32Array( stridexnyp.x );
+ y = new Float32Array( stridexnyp.y );
+
+ expected = new Float32Array( stridexnyp.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, beta, y, strideY ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative `y` stride', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexpyn.order;
+ uplo = stridexpyn.uplo;
+
+ n = stridexpyn.N;
+ lda = stridexpyn.lda;
+ k = stridexpyn.k;
+
+ strideX = stridexpyn.strideX;
+ strideY = stridexpyn.strideY;
+
+ alpha = stridexpyn.alpha;
+ beta = stridexpyn.beta;
+
+ a = new Float32Array( stridexpyn.A );
+ x = new Float32Array( stridexpyn.x );
+ y = new Float32Array( stridexpyn.y );
+
+ expected = new Float32Array( stridexpyn.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, beta, y, strideY ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns a reference to the second input array', function test( t ) {
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexpyp.order;
+ uplo = stridexpyp.uplo;
+
+ n = stridexpyp.N;
+ lda = stridexpyp.lda;
+ k = stridexpyp.k;
+
+ strideX = stridexpyp.strideX;
+ strideY = stridexpyp.strideY;
+
+ alpha = stridexpyp.alpha;
+ beta = stridexpyp.beta;
+
+ a = new Float32Array( stridexpyp.A );
+ x = new Float32Array( stridexpyp.x );
+ y = new Float32Array( stridexpyp.y );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, beta, y, strideY ); // eslint-disable-line max-len
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports complex access patterns', function test( t ) {
+ var expected;
+ var strideX;
+ var strideY;
+ var alpha;
+ var order;
+ var beta;
+ var uplo;
+ var lda;
+ var out;
+ var a;
+ var k;
+ var n;
+ var x;
+ var y;
+
+ order = stridexnyn.order;
+ uplo = stridexnyn.uplo;
+
+ n = stridexnyn.N;
+ lda = stridexnyn.lda;
+ k = stridexnyn.k;
+
+ strideX = stridexnyn.strideX;
+ strideY = stridexnyn.strideY;
+
+ alpha = stridexnyn.alpha;
+ beta = stridexnyn.beta;
+
+ a = new Float32Array( stridexnyn.A );
+ x = new Float32Array( stridexnyn.x );
+ y = new Float32Array( stridexnyn.y );
+
+ expected = new Float32Array( stridexnyn.y_out );
+
+ out = ssbmv( order, uplo, n, k, alpha, a, lda, x, strideX, beta, y, strideY ); // eslint-disable-line max-len
+ isApprox( t, y, expected, 2.0 );
+ t.strictEqual( out, y, 'returns expected value' );
+ t.end();
+});