diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/README.md b/lib/node_modules/@stdlib/blas/base/dsyr2k/README.md new file mode 100644 index 000000000000..174fa62f2a49 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/README.md @@ -0,0 +1,258 @@ + + +# dsyr2k + +> Perform one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. + +
+ +## Usage + +```javascript +var dsyr2k = require( '@stdlib/blas/base/dsyr2k' ); +``` + +#### dsyr2k( ord, uplo, trans, N, K, α, A, lda, B, ldb, β, C, ldc ) + +Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); + +dsyr2k( 'row-major', 'upper', 'no-transpose', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 ); +// C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +``` + +The function has the following parameters: + +- **ord**: storage layout. +- **uplo**: specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied. +- **trans**: specifies whether `C` should be transposed, conjugate-transposed, or not transposed. +- **N**: order of the matrix `C`. +- **K**: number of columns or number of rows of the matrices `A` and `B`. +- **α**: scalar constant. +- **A**: first input matrix stored in linear memory as a [`Float64Array`][mdn-float64array]. +- **lda**: stride of the first dimension of `A` (leading dimension of `A`). +- **B**: second input matrix stored in linear memory as a [`Float64Array`][mdn-float64array]. +- **ldb**: stride of the first dimension of `B` (leading dimension of `B`). +- **β**: scalar constant. +- **C**: third input matrix stored in linear memory as a [`Float64Array`][mdn-float64array]. +- **ldc**: stride of the first dimension of `C` (leading dimension of `C`). + +The stride parameters determine how elements in the input arrays are accessed at runtime. For example, to perform matrix multiplication of two subarrays + + + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 4.0, 5.0, 6.0, 0.0, 0.0, 0.0, 7.0, 8.0, 9.0 ] ); +var B = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 0.0, 0.0, 4.0, 5.0, 6.0, 0.0, 0.0, 0.0, 7.0, 8.0, 9.0 ] ); +var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); + +dsyr2k( 'row-major', 'upper', 'no-transpose', 3, 3, 1.0, A, 6, B, 6, 1.0, C, 3 ); +// C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +``` + + + +#### dsyr2k.ndarray( uplo, trans, N, K, α, A, sa1, sa2, oa, B, sb1, sb2, ob, β, C, sc1, sc2, oc ) + +Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C`, using alternative indexing semantics and where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); + +dsyr2k.ndarray( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 ); +// C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +``` + +The function has the following additional parameters: + +- **sa1**: stride of the first dimension of `A`. +- **sa2**: stride of the second dimension of `A`. +- **oa**: starting index for `A`. +- **sb1**: stride of the first dimension of `B`. +- **sb2**: stride of the second dimension of `B`. +- **ob**: starting index for `B`. +- **sc1**: stride of the first dimension of `C`. +- **sc2**: stride of the second dimension of `C`. +- **oc**: starting index for `C`. + +While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var A = new Float64Array( [ 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +var B = new Float64Array( [ 0.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +var C = new Float64Array( [ 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); + +dsyr2k.ndarray( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 1, B, 3, 1, 2, 1.0, C, 3, 1, 3 ); +// C => [ 0.0, 0.0, 0.0, 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +``` + +
+ + + +
+ +## Notes + +- `dsyr2k()` corresponds to the [BLAS][blas] level 3 function [`dsyr2k`][blas-dsyr2k]. + +
+ + + +
+ +## Examples + + + +```javascript +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var dsyr2k = require( '@stdlib/blas/base/dsyr2k' ); + +var opts = { + 'dtype': 'float64' +}; + +var N = 4; + +var A = discreteUniform( N*N, 0, 10, opts ); // 4x4 +var B = discreteUniform( N*N, 0, 10, opts ); // 4x4 +var C = discreteUniform( N*N, 0, 10, opts ); // 4x4 + +dsyr2k( 'row-major', 'lower', 'no-transpose', N, N, 1.0, A, N, B, N, 1.0, C, N ); +console.log( C ); + +dsyr2k.ndarray( 'lower', 'no-transpose', N, N, 1.0, A, N, 1, 0, B, N, 1, 0, 1.0, C, N, 1, 0 ); +console.log( C ); +``` + +
+ + + + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/blas/base/dsyr2k.h" +``` + +#### TODO + +TODO. + +```c +TODO +``` + +TODO + +```c +TODO +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +TODO +``` + +
+ + + +
+ + + + + + + + + + + + + + diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/benchmark/benchmark.js new file mode 100644 index 000000000000..a11bb364fbd0 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/benchmark/benchmark.js @@ -0,0 +1,105 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var pkg = require( './../package.json' ).name; +var dsyr2k = require( './../lib/dsyr2k.js' ); + + +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} N - array dimension size +* @returns {Function} benchmark function +*/ +function createBenchmark( N ) { + var A = uniform( N*N, -10.0, 10.0, options ); + var B = uniform( N*N, -10.0, 10.0, options ); + var C = uniform( N*N, -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 = dsyr2k( 'row-major', 'lower', 'no-transpose', N, N, 1.0, A, N, B, N, 1.0, C, N ); + 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 = floor( pow( pow( 10, i ), 1.0/2.0 ) ); + f = createBenchmark( len ); + bench( pkg+':size='+(len*len), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/benchmark/benchmark.ndarray.js new file mode 100644 index 000000000000..3d0f2862c0da --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/benchmark/benchmark.ndarray.js @@ -0,0 +1,106 @@ + +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var pkg = require( './../package.json' ).name; +var dsyr2k = require( './../lib/ndarray.js' ); + + +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} N - array dimension size +* @returns {Function} benchmark function +*/ +function createBenchmark( N ) { + var A = uniform( N*N, -10.0, 10.0, options ); + var B = uniform( N*N, -10.0, 10.0, options ); + var C = uniform( N*N, -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 = dsyr2k( 'lower', 'no-transpose', N, N, 1.0, A, N, 1, 0, B, N, 1, 0, 1.0, C, N, 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 = floor( pow( pow( 10, i ), 1.0/2.0 ) ); + f = createBenchmark( len ); + bench( pkg+':ndarray:size='+(len*len), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/repl.txt new file mode 100644 index 000000000000..6af43f865e35 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/repl.txt @@ -0,0 +1,164 @@ + +{{alias}}( ord, uplo, trans, N, K, α, A, lda, B, ldb, β, C, ldc ) + Performs one of the symmetric rank `2K` operations + `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` + where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and + `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` + matrices in the second case. + + Indexing is relative to the first index. To introduce an offset, use typed + array views. + + If `N` is equal to `0`, the function returns `C` unchanged. + + If `α` or `K` equals `0` and `β` equals `1`, the function returns `C` + unchanged. + + Parameters + ---------- + ord: string + Row-major (C-style) or column-major (Fortran-style) order. + + uplo: string + Specifies whether `A` is an upper or lower triangular matrix. + + trans: string + Specifies whether `C` should be transposed, conjugate-transposed, or + not transposed. + + N: integer + Number of elements along each dimension of `C`. + + K: integer + Number of columns or number of rows of the matrices `A` and `B`. + + α: number + Scalar constant. + + A: Float64Array + First matrix. + + lda: integer + Stride of the first dimension of `A` (a.k.a., leading dimension of the + matrix `A`). + + B: Float64Array + Second matrix. + + ldb: integer + Stride of the first dimension of `B` (a.k.a., leading dimension of the + matrix `B`). + + β: number + Scalar constant. + + C: Float64Array + Third matrix. + + ldc: integer + Stride of the first dimension of `C` (a.k.a., leading dimension of the + matrix `C`). + + Returns + ------- + C: Float64Array + Third matrix. + + Examples + -------- + // Standard usage: + > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] ); + > var B = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] ); + > var C = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 0.0, 4.0 ] ); + > var ord = 'row-major'; + > var uplo = 'upper'; + > var trans = 'no-transpose'; + > {{alias}}( ord, uplo, trans, 2, 2, 1.0, A, 2, B, 2, 1.0, C, 2 ) + [ 11.0, 24.0, 0.0, 54.0 ] + + +{{alias}}.ndarray( uplo,trans,N,K,α,A,sa1,sa2,oa,B,sb1,sb2,ob,β,C,sc1,sc2,oc ) + Performs one of the symmetric rank `2K` operations + `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C`, + using alternative indexing semantics and where `α` and `β` are scalars, + `C` is an `N` by `N` symmetric matrix and A` and `B` are `N` by `K` + matrices in the first case and `K` by `N` matrices in the second case. + + While typed array views mandate a view offset based on the underlying + buffer, the offset parameters support indexing semantics based on starting + indices. + + Parameters + ---------- + uplo: string + Specifies whether `A` is an upper or lower triangular matrix. + + trans: string + Specifies whether `C` should be transposed, conjugate-transposed, or + not ransposed. + + N: integer + Number of elements along each dimension of `C`. + + K: integer + Number of columns or number of rows of the matrices `A` and `B`. + + α: number + Scalar constant. + + A: Float64Array + First matrix. + + sa1: integer + Stride of the first dimension of `A`. + + sa2: integer + Stride of the second dimension of `A`. + + oa: integer + Starting index for `A`. + + B: Float64Array + Second matrix. + + sb1: integer + Stride of the first dimension of `B`. + + sb2: integer + Stride of the second dimension of `B`. + + ob: integer + Starting index for `B`. + + β: number + Scalar constant. + + C: Float64Array + Third matrix. + + sc1: integer + Stride of the first dimension of `C`. + + sc2: integer + Stride of the second dimension of `C`. + + oc: integer + Starting index for `C`. + + Returns + ------- + C: Float64Array + Third matrix. + + Examples + -------- + > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] ); + > var B = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0 ] ); + > var C = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 0.0, 4.0 ] ); + > var uplo = 'upper'; + > var trans = 'no-transpose'; + > {{alias}}.ndarray( uplo,trans,2,2,1.0,A,2,1,0,B,2,1,0,1.0,C,2,1,0 ) + [ 11.0, 24.0, 0.0, 54.0 ] + + See Also + -------- diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/types/index.d.ts new file mode 100644 index 000000000000..d2d4a59d0de9 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/types/index.d.ts @@ -0,0 +1,135 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +// TypeScript Version: 4.1 + +/// + +import { Layout, MatrixTriangle, TransposeOperation } from '@stdlib/types/blas'; + +/** +* Interface describing `dsyr2k`. +*/ +interface Routine { + /** + * Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. + * + * @param order - storage layout + * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied + * @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed + * @param N - order of the matrix `C` + * @param K - number of columns or number of rows of the matrices `A` and `B` + * @param alpha - scalar constant + * @param A - first matrix + * @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`) + * @param B - second matrix + * @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`) + * @param beta - scalar constant + * @param C - third matrix + * @param LDC - stride of the first dimension of `C` (a.k.a., leading dimension of the matrix `C`) + * @returns `C` + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + * var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + * var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); + * + * dsyr2k( 'row-major', 'upper', 'no-transpose', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 ); + * // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] + */ + ( order: Layout, uplo: MatrixTriangle, trans: TransposeOperation, N: number, K: number, alpha: number, A: Float64Array, LDA: number, B: Float64Array, LDB: number, beta: number, C: Float64Array, LDC: number ): Float64Array; + + /** + * Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C`, using alternative indexing semantics and where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. + * + * @param order - storage layout + * @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied + * @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed + * @param N - order of the matrix `C` + * @param K - number of columns or number of rows of the matrices `A` and `B` + * @param alpha - scalar constant + * @param A - first matrix + * @param strideA1 - stride of the first dimension of `A` + * @param strideA2 - stride of the second dimension of `A` + * @param offsetA - starting index for `A` + * @param beta - scalar constant + * @param C - third matrix + * @param strideC1 - stride of the first dimension of `C` + * @param strideC2 - stride of the second dimension of `C` + * @param offsetC - starting index for `C` + * @returns `C` + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + * var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + * var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); + * + * dsyr2k( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 ); + * // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] + */ + ndarray( uplo: MatrixTriangle, trans: TransposeOperation, N: number, K: number, alpha: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number, B: Float64Array, strideB1: number, strideB2: number, offsetB: number, beta: number, C: Float64Array, strideC1: number, strideC2: number, offsetC: number ): Float64Array; +} + +/** +* Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. +* +* @param order - storage layout +* @param uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied +* @param trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed +* @param N - order of the matrix `C` +* @param K - number of columns or number of rows of the matrices `A` and `B` +* @param alpha - scalar constant +* @param A - first matrix +* @param LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`) +* @param B - second matrix +* @param LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`) +* @param beta - scalar constant +* @param C - third matrix +* @param LDC - stride of the first dimension of `C` (a.k.a., leading dimension of the matrix `C`) +* @returns `C` +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); +* +* dsyr2k( 'row-major', 'upper', 'no-transpose', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 ); +* // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); +* +* dsyr2k.ndarray( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 ); +* // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +*/ +declare var dsyr2k: Routine; + + +// EXPORTS // + +export = dsyr2k; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/types/test.ts b/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/types/test.ts new file mode 100644 index 000000000000..ec7d86dc4cb6 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/docs/types/test.ts @@ -0,0 +1,584 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +import dsyr2k = require( './index' ); + + +// TESTS // + +// The function returns a Float64Array... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectType Float64Array +} + +// The compiler throws an error if the function is provided a first argument which is not a string... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 10, 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( true, 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( false, 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( null, 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( undefined, 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( [], 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( {}, 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( ( A: number ): number => A, 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a second argument which is not a string... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 10, 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', true, 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', false, 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', null, 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', undefined, 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', [ '1' ], 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', {}, 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', ( A: number ): number => A, 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a third argument which is not a string... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 10, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', true, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', false, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', null, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', undefined, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', [ '1' ], 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', {}, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', ( A: number ): number => A, 5, B, 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a fourth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', '10', 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', true, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', false, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', null, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', undefined, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', [], 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', {}, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', ( A: number ): number => A, 5, B, 5, 1.0, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a fifth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, '10', 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, true, 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, false, 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, null, 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, undefined, 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, [], 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, {}, 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, ( A: number ): number => A, 5, B, 5, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a sixth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, '10', A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, true, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, false, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, null, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, undefined, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, [], A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, {}, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, ( A: number ): number => A, A, 5, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an seventh argument which is not a Float64Array... +{ + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, 10, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, '10', 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, true, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, false, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, null, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, undefined, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, [ '1' ], 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, {}, 5, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, ( A: number ): number => A, 5, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a eighth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, '10', B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, true, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, false, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, null, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, undefined, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, [], B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, {}, B, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, ( A: number ): number => A, B, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a ninth argument which is not a Float64Array... +{ + const A = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, '10', 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, true, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, false, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, null, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, undefined, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, [], 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, {}, 5, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, ( A: number ): number => A, 5, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a tenth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, '10', 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, true, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, false, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, null, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, undefined, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, [], 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, {}, 1.0, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, ( A: number ): number => A, 1.0, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a eleventh argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, '10', C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, true, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, false, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, null, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, undefined, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, [], C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, {}, C, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, ( A: number ): number => A, C, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a twelfth argument which is not a Float64Array... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, 10, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, '10', 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, true, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, false, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, null, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, undefined, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, [ '1' ], 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, {}, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, ( A: number ): number => A, 5 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an thirteenth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, '10' ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, true ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, false ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, null ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, undefined ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, [] ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, {} ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, ( A: number ): number => A ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k(); // $ExpectError + dsyr2k( 'row-major' ); // $ExpectError + dsyr2k( 'row-major', 'lower' ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose' ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0 ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C ); // $ExpectError + dsyr2k( 'row-major', 'lower', 'no-transpose', 5, 5, 1.0, A, 5, B, 5, 1.0, C, 5, 10 ); // $ExpectError +} + +// Attached to main export is an `ndarray` method which returns a Float64Array... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectType Float64Array +} + +// The compiler throws an error if the function is provided a first argument which is not a string... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 10, 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( true, 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( false, 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( null, 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( undefined, 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( [ '1' ], 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( {}, 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( ( A: number ): number => A, 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a second argument which is not a string... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 10, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', true, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', false, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', null, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', undefined, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', [ '1' ], 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', {}, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', ( A: number ): number => A, 5, 1, 0, B, 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a third argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', '10', 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', true, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', false, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', null, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', undefined, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', [], 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', {}, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', ( A: number ): number => A, 5, 1, 0, B, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a fourth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, '10', 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, true, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, false, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, null, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, undefined, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, [], 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, {}, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, ( A: number ): number => A, 5, 1, 0, B, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a fifth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, '10', A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, true, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, false, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, null, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, undefined, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, [], A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, {}, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, ( A: number ): number => A, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a sixth argument which is not a Float64Array... +{ + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, 10, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, '10', 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, true, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, false, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, null, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, undefined, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, [ '1' ], 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, {}, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, ( A: number ): number => A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an seventh argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, '10', 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, true, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, false, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, null, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, undefined, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, [], 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, {}, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, ( A: number ): number => A, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an eighth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, '10', 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, true, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, false, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, null, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, undefined, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, [], 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, {}, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, ( A: number ): number => A, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an ninth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, '10', B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, true, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, false, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, null, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, undefined, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, [], B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, {}, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, ( A: number ): number => A, B, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an tenth argument which is not a Float64Array... +{ + const A = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, 10, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, '10', 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, true, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, false, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, null, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, undefined, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, [], 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, {}, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, ( A: number ): number => A, 5, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an eleventh argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, '10', 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, true, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, false, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, null, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, undefined, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, [], 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, {}, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, ( A: number ): number => A, 1, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a twelfth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, '10', 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, true, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, false, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, null, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, undefined, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, [], 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, {}, 0, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, ( A: number ): number => A, 0, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a thirteenth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, '10', 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, true, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, false, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, null, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, undefined, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, [], 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, {}, 1.0, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, ( A: number ): number => A, 1.0, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a fourteenth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, '10', C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, true, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, false, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, null, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, undefined, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, [], C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, {}, C, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, ( A: number ): number => A, C, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided an fifteenth argument which is not a Float64Array... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, 10, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, '10', 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, true, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, false, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, null, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, undefined, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, [ '1' ], 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, {}, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, ( A: number ): number => A, 5, 1, 0, B, 5, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a sixteenth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, '10', 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, true, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, false, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, null, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, undefined, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, [], 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, {}, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, ( A: number ): number => A, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a seventeenth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, '10', 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, true, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, false, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, null, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, undefined, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, [], 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, {}, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, ( A: number ): number => A, 0 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a eighteenth argument which is not a number... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, '10' ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, true ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, false ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, null ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, undefined ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, [] ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, {} ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, ( A: number ): number => A ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments... +{ + const A = new Float64Array( 25 ); + const B = new Float64Array( 25 ); + const C = new Float64Array( 25 ); + + dsyr2k.ndarray(); // $ExpectError + dsyr2k.ndarray( 'lower' ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose' ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1 ); // $ExpectError + dsyr2k.ndarray( 'lower', 'no-transpose', 5, 5, 1.0, A, 5, 1, 0, B, 5, 1, 0, 1.0, C, 5, 1, 0, 10 ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/examples/index.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/examples/index.js new file mode 100644 index 000000000000..0fe910c8bbee --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/examples/index.js @@ -0,0 +1,38 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +var discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); +var dsyr2k = require( './../lib' ); + +var opts = { + 'dtype': 'float64' +}; + +var N = 4; + +var A = discreteUniform( N*N, 0, 10, opts ); // 4x4 +var B = discreteUniform( N*N, 0, 10, opts ); // 4x4 +var C = discreteUniform( N*N, 0, 10, opts ); // 4x4 + +dsyr2k( 'row-major', 'lower', 'no-transpose', N, N, 1.0, A, N, B, N, 1.0, C, N ); +console.log( C ); + +dsyr2k.ndarray( 'lower', 'no-transpose', N, N, 1.0, A, N, 1, 0, B, N, 1, 0, 1.0, C, N, 1, 0 ); +console.log( C ); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/base.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/base.js new file mode 100644 index 000000000000..430ff9ffa204 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/base.js @@ -0,0 +1,331 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +/* eslint-disable max-len, max-params */ + +'use strict'; + +// MODULES // + +var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' ); + + +// FUNCTIONS // + +/** +* Fills a upper or lower triangular part of a matrix with zeros. +* +* @private +* @param {string} uplo - specifies whether the upper or lower triangular part of the matrix should be referenced +* @param {NonNegativeInteger} N - order of the matrix +* @param {Float64Array} X - matrix to fill +* @param {integer} strideX1 - stride of the first dimension of `X` +* @param {integer} strideX2 - stride of the second dimension of `X` +* @param {NonNegativeInteger} offsetX - starting index for `X` +* @returns {Float64Array} input matrix +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* +* zeros( 'lower', 3, X, 3, 1, 0 ); +* // X => [ 0.0, 2.0, 3.0, 0.0, 0.0, 6.0, 0.0, 0.0, 0.0 ] +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* +* zeros( 'lower', 3, X, 1, 3, 0 ); +* // X => [ 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 7.0, 8.0, 0.0 ] +*/ +function zeros( uplo, N, X, strideX1, strideX2, offsetX ) { // TODO: consider moving to a separate package + var isrm; + var idx; + var x0; + var x1; + var i1; + var i0; + + isrm = isRowMajor( [ strideX1, strideX2 ] ); + + if ( isrm ) { + x0 = strideX2; // stride for innermost loop + x1 = strideX1; // stride for outermost loop + } else { // column-major + x0 = strideX1; // stride for innermost loop + x1 = strideX2; // stride for outermost loop + } + if ( + ( isrm && uplo === 'upper' ) || ( !isrm && uplo === 'lower' ) + ) { + for ( i1 = 0; i1 < N; i1++ ) { + for ( i0 = i1; i0 < N; i0++ ) { + idx = offsetX + ( i1 * x1 ) + ( i0 * x0 ); + X[ idx ] = 0.0; + } + } + return X; + } + // ( isrm && uplo === 'lower' ) || ( !isrm && uplo === 'upper' ) + for ( i1 = 0; i1 < N; i1++ ) { + for ( i0 = 0; i0 <= i1; i0++ ) { + idx = offsetX + ( i1 * x1 ) + ( i0 * x0 ); + X[ idx ] = 0.0; + } + } + return X; +} + +/** +* Scales each element in a the upper or lower triangular part of matrix by a scalar `β`. +* +* @private +* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix should be referenced +* @param {NonNegativeInteger} N - order of the matrix +* @param {number} beta - scalar +* @param {Float64Array} X - matrix to fill +* @param {integer} strideX1 - stride of the first dimension of `X` +* @param {integer} strideX2 - stride of the second dimension of `X` +* @param {NonNegativeInteger} offsetX - starting index for `X` +* @returns {Float64Array} input matrix +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* +* scal( 'lower', 3, 5.0, X, 3, 1, 0 ); +* // X => [ 5.0, 2.0, 3.0, 20.0, 25.0, 6.0, 35.0, 40.0, 45.0 ] +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var X = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* +* scal( 'lower', 3, 5.0, X, 1, 2, 0 ); +* // X => [ 5.0, 10.0, 15.0, 20.0, 25.0, 6.0, 35.0, 8.0, 9.0 ] +*/ +function scal( uplo, N, beta, X, strideX1, strideX2, offsetX ) { // TODO: consider moving to a separate package + var isrm; + var idx; + var x0; + var x1; + var i1; + var i0; + + isrm = isRowMajor( [ strideX1, strideX2 ] ); + + if ( isrm ) { + x0 = strideX2; // stride for innermost loop + x1 = strideX1; // stride for outermost loop + } else { + x0 = strideX1; // stride for innermost loop + x1 = strideX2; // stride for outermost loop + } + if ( + ( isrm && uplo === 'upper' ) || ( !isrm && uplo === 'lower' ) + ) { + for ( i1 = 0; i1 < N; i1++ ) { + for ( i0 = i1; i0 < N; i0++ ) { + idx = offsetX + ( i1 * x1 ) + ( i0 * x0 ); + X[ idx ] *= beta; + } + } + return X; + } + // ( isrm && uplo === 'lower' ) || ( !isrm && uplo === 'upper' ) + for ( i1 = 0; i1 < N; i1++ ) { + for ( i0 = 0; i0 <= i1; i0++ ) { + idx = offsetX + ( i1 * x1 ) + ( i0 * x0 ); + X[ idx ] *= beta; + } + } + return X; +} + + +// MAIN // + +/** +* Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. +* +* @private +* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied +* @param {string} trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed +* @param {NonNegativeInteger} N - order of the matrix `C` +* @param {NonNegativeInteger} K - number of columns or number of rows of the matrices `A` and `B` +* @param {number} alpha - scalar constant +* @param {Float64Array} A - first matrix +* @param {integer} strideA1 - stride of the first dimension of `A` +* @param {integer} strideA2 - stride of the second dimension of `A` +* @param {NonNegativeInteger} offsetA - starting index for `A` +* @param {Float64Array} B - second matrix +* @param {integer} strideB1 - stride of the first dimension of `B` +* @param {integer} strideB2 - stride of the second dimension of `B` +* @param {NonNegativeInteger} offsetB - starting index for `B` +* @param {number} beta - scalar constant +* @param {Float64Array} C - third matrix +* @param {integer} strideC1 - stride of the first dimension of `C` +* @param {integer} strideC2 - stride of the second dimension of `C` +* @param {NonNegativeInteger} offsetC - starting index for `C` +* @returns {Float64Array} `C` +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); +* +* dsyr2k( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 ); +* // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +*/ +function dsyr2k( uplo, trans, N, K, alpha, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB, beta, C, strideC1, strideC2, offsetC ) { + var isrma; + var sa0; + var sa1; + var sb0; + var sb1; + var sc0; + var sc1; + var oa1; + var oa2; + var ob1; + var ob2; + var idx; + var tmp; + var oa; + var ob; + var i2; + var i1; + var i0; + + isrma = isRowMajor( [ strideA1, strideA2 ] ); + + if ( N === 0 || ( ( beta === 1.0 ) && ( ( alpha === 0.0 ) || ( K === 0 ) ) ) ) { + return C; + } + if ( isrma ) { + sa0 = strideA2; + sa1 = strideA1; + sb0 = strideB2; + sb1 = strideB1; + sc0 = strideC2; + sc1 = strideC1; + } else { + sa0 = strideA1; + sa1 = strideA2; + sb0 = strideB1; + sb1 = strideB2; + sc0 = strideC1; + sc1 = strideC2; + } + if ( beta === 0.0 ) { + zeros( uplo, N, C, strideC1, strideC2, offsetC ); + } else if ( beta !== 1.0 ) { + scal( uplo, N, beta, C, strideC1, strideC2, offsetC ); + } + if ( alpha === 0.0 ) { + return C; + } + oa = offsetA; + ob = offsetB; + if ( + ( isrma && trans === 'no-transpose' && uplo === 'upper' ) || + ( !isrma && trans !== 'no-transpose' && uplo === 'lower' ) + ) { + for ( i2 = 0; i2 < N; i2++ ) { + for ( i1 = i2; i1 < N; i1++ ) { + tmp = 0.0; + for ( i0 = 0; i0 < K; i0++ ) { + oa1 = oa + ( i2 * sa1 ) + ( i0 * sa0 ); + ob1 = ob + ( i1 * sb1 ) + ( i0 * sb0 ); + ob2 = ob + ( i2 * sb1 ) + ( i0 * sb0 ); + oa2 = oa + ( i1 * sa1 ) + ( i0 * sa0 ); + tmp += ( A[ oa1 ] * B[ ob1 ] ) + ( B[ ob2 ] * A[ oa2 ] ); + } + idx = offsetC + ( i2 * sc1 ) + ( i1 * sc0 ); + C[ idx ] += alpha * tmp; + } + } + return C; + } + if ( + ( isrma && trans === 'no-transpose' && uplo === 'lower' ) || + ( !isrma && trans !== 'no-transpose' && uplo === 'upper' ) + ) { + for ( i2 = 0; i2 < N; i2++ ) { + for ( i1 = 0; i1 <= i2; i1++ ) { + tmp = 0.0; + for ( i0 = 0; i0 < K; i0++ ) { + oa1 = oa + ( i2 * sa1 ) + ( i0 * sa0 ); + ob1 = ob + ( i1 * sb1 ) + ( i0 * sb0 ); + ob2 = ob + ( i2 * sb1 ) + ( i0 * sb0 ); + oa2 = oa + ( i1 * sa1 ) + ( i0 * sa0 ); + tmp += ( A[ oa1 ] * B[ ob1 ] ) + ( B[ ob2 ] * A[ oa2 ] ); + } + idx = offsetC + ( i2 * sc1 ) + ( i1 * sc0 ); + C[ idx ] += alpha * tmp; + } + } + return C; + } + if ( + ( isrma && trans !== 'no-transpose' && uplo === 'upper' ) || + ( !isrma && trans === 'no-transpose' && uplo === 'lower' ) + ) { + for ( i2 = 0; i2 < N; i2++ ) { + for ( i1 = i2; i1 < N; i1++ ) { + tmp = 0.0; + for ( i0 = 0; i0 < K; i0++ ) { + oa1 = oa + ( i0 * sa1 ) + ( i2 * sa0 ); + ob1 = ob + ( i0 * sb1 ) + ( i1 * sb0 ); + ob2 = ob + ( i0 * sb1 ) + ( i2 * sb0 ); + oa2 = oa + ( i0 * sa1 ) + ( i1 * sa0 ); + tmp += ( A[ oa1 ] * B[ ob1 ] ) + ( B[ ob2 ] * A[ oa2 ] ); + } + idx = offsetC + ( i2 * sc1 ) + ( i1 * sc0 ); + C[ idx ] += alpha * tmp; + } + } + return C; + } + // ( isrma && trans !== 'no-transpose' && uplo === 'lower' ) || ( !isrma && trans === 'no-transpose' && uplo === 'upper' ) + for ( i2 = 0; i2 < N; i2++ ) { + for ( i1 = 0; i1 <= i2; i1++ ) { + tmp = 0.0; + for ( i0 = 0; i0 < K; i0++ ) { + oa1 = oa + ( i0 * sa1 ) + ( i2 * sa0 ); + ob1 = ob + ( i0 * sb1 ) + ( i1 * sb0 ); + ob2 = ob + ( i0 * sb1 ) + ( i2 * sb0 ); + oa2 = oa + ( i0 * sa1 ) + ( i1 * sa0 ); + tmp += ( A[ oa1 ] * B[ ob1 ] ) + ( B[ ob2 ] * A[ oa2 ] ); + } + idx = offsetC + ( i2 * sc1 ) + ( i1 * sc0 ); + C[ idx ] += alpha * tmp; + } + } + return C; +} + + +// EXPORTS // + +module.exports = dsyr2k; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/dsyr2k.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/dsyr2k.js new file mode 100644 index 000000000000..a157e0bb5e30 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/dsyr2k.js @@ -0,0 +1,130 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var max = require( '@stdlib/math/base/special/fast/max' ); +var isLayout = require( '@stdlib/blas/base/assert/is-layout' ); +var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' ); +var isMatrixTranspose = require( '@stdlib/blas/base/assert/is-transpose-operation' ); +var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' ); +var format = require( '@stdlib/string/format' ); +var base = require( './base.js' ); + + +// MAIN // + +/** +* Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. +* +* @param {string} order - storage layout +* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied +* @param {string} trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed +* @param {NonNegativeInteger} N - order of the matrix `C` +* @param {NonNegativeInteger} K - number of columns or number of rows of the matrices `A` and `B` +* @param {number} alpha - scalar constant +* @param {Float64Array} A - first matrix +* @param {PositiveInteger} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`) +* @param {Float64Array} B - second matrix +* @param {PositiveInteger} LDB - stride of the first dimension of `B` (a.k.a., leading dimension of the matrix `B`) +* @param {number} beta - scalar constant +* @param {Float64Array} C - third matrix +* @param {PositiveInteger} LDC - stride of the first dimension of `C` (a.k.a., leading dimension of the matrix `C`) +* @throws {TypeError} first argument must be a valid order +* @throws {TypeError} second argument must be a valid side +* @throws {TypeError} third argument must specify whether the lower or upper triangular matrix is supplied. +* @throws {RangeError} fourth argument must be a nonnegative integer +* @throws {RangeError} fifth argument must be a nonnegative integer +* @throws {RangeError} eighth argument must be greater than or equal to max(1,N) when `A` is not transposed and max(1,K) otherwise +* @throws {RangeError} tenth argument must be greater than or equal to max(1,N) when `A` is not transposed and max(1,K) otherwise +* @throws {RangeError} thirteenth argument must be greater than or equal to max(1,N) +* @returns {Float64Array} `C` +* +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); +* +* dsyr2k( 'row-major', 'upper', 'no-transpose', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 ); +* // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +*/ +function dsyr2k( order, uplo, trans, N, K, alpha, A, LDA, B, LDB, beta, C, LDC ) { // eslint-disable-line max-params + var nrowsa; + var iscm; + var sa1; + var sa2; + var sb1; + var sb2; + var sc1; + var sc2; + + if ( !isLayout( order ) ) { + throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) ); + } + if ( !isMatrixTriangle( uplo ) ) { + throw new TypeError( format( 'invalid argument. Second argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) ); + } + if ( !isMatrixTranspose( trans ) ) { + throw new TypeError( format( 'invalid argument. Third argument must be a valid transpose operation. Value: `%s`.', trans ) ); + } + if ( N < 0 ) { + throw new RangeError( format( 'invalid argument. Fourth argument must be a nonnegative integer. Value: `%d`.', N ) ); + } + if ( K < 0 ) { + throw new RangeError( format( 'invalid argument. Fifth argument must be a nonnegative integer. Value: `%d`.', K ) ); + } + if ( trans === 'no-transpose' ) { + nrowsa = N; + } else { + nrowsa = K; + } + if ( LDA < max( 1, nrowsa ) ) { + throw new RangeError( format( 'invalid argument. Eighth argument must be greater than or equal to max(1,%d). Value: `%d`.', nrowsa, LDA ) ); + } + if ( LDB < max( 1, nrowsa ) ) { + throw new RangeError( format( 'invalid argument. Tenth argument must be greater than or equal to max(1,%d). Value: `%d`.', nrowsa, LDB ) ); + } + if ( LDC < max( 1, N ) ) { + throw new RangeError( format( 'invalid argument. Thirteenth argument must be greater than or equal to max(1,%d). Value: `%d`.', N, LDC ) ); + } + iscm = isColumnMajor( order ); + if ( iscm ) { + sa1 = 1; + sa2 = LDA; + sb1 = 1; + sb2 = LDB; + sc1 = 1; + sc2 = LDC; + } else { // order === 'row-major' + sa1 = LDA; + sa2 = 1; + sb1 = LDB; + sb2 = 1; + sc1 = LDC; + sc2 = 1; + } + return base( uplo, trans, N, K, alpha, A, sa1, sa2, 0, B, sb1, sb2, 0, beta, C, sc1, sc2, 0 ); // eslint-disable-line max-len +} + + +// EXPORTS // + +module.exports = dsyr2k; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/index.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/index.js new file mode 100644 index 000000000000..f1e759fee939 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/index.js @@ -0,0 +1,72 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +/** +* BLAS level 3 routine to perform one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. +* +* @module @stdlib/blas/base/dsyr2k +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var dsyr2k = require( '@stdlib/blas/base/dsyr2k' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); +* +* dsyr2k( 'row-major', 'upper', 'no-transpose', 3, 3, 1.0, A, 3, B, 3, 1.0, C, 3 ); +* // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* var dsyr2k = require( '@stdlib/blas/base/dsyr2k' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); +* +* dsyr2k.ndarray( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 ); +* // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +*/ + +// 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 dsyr2k; +var tmp = tryRequire( join( __dirname, './native.js' ) ); +if ( isError( tmp ) ) { + dsyr2k = main; +} else { + dsyr2k = tmp; +} + + +// EXPORTS // + +module.exports = dsyr2k; + +// exports: { "ndarray": "dsyr2k.ndarray" } diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/main.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/main.js new file mode 100644 index 000000000000..c77f5e1ea0a9 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/main.js @@ -0,0 +1,36 @@ + +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' ); +var dsyr2k = require( './dsyr2k.js' ); +var ndarray = require( './ndarray.js' ); + + +// MAIN // + +setReadOnly( dsyr2k, 'ndarray', ndarray ); + + +// EXPORTS // + +module.exports = dsyr2k; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/ndarray.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/ndarray.js new file mode 100644 index 000000000000..59642a206f80 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/lib/ndarray.js @@ -0,0 +1,95 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' ); +var isMatrixTranspose = require( '@stdlib/blas/base/assert/is-transpose-operation' ); +var format = require( '@stdlib/string/format' ); +var base = require( './base.js' ); + + +// MAIN // + +/** +* Performs one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matrices in the second case. +* +* @private +* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `C` is supplied +* @param {string} trans - specifies whether `A` should be transposed, conjugate-transposed, or not transposed +* @param {NonNegativeInteger} N - order of the matrix `C` +* @param {NonNegativeInteger} K - number of columns or number of rows of the matrices `A` and `B` +* @param {number} alpha - scalar constant +* @param {Float64Array} A - first matrix +* @param {integer} strideA1 - stride of the first dimension of `A` +* @param {integer} strideA2 - stride of the second dimension of `A` +* @param {NonNegativeInteger} offsetA - starting index for `A` +* @param {Float64Array} B - second matrix +* @param {integer} strideB1 - stride of the first dimension of `B` +* @param {integer} strideB2 - stride of the second dimension of `B` +* @param {NonNegativeInteger} offsetB - starting index for `B` +* @param {number} beta - scalar constant +* @param {Float64Array} C - third matrix +* @param {integer} strideC1 - stride of the first dimension of `C` +* @param {integer} strideC2 - stride of the second dimension of `C` +* @param {NonNegativeInteger} offsetC - starting index for `C` +* @throws {TypeError} first argument must be a valid side +* @throws {TypeError} second argument must specify whether the lower or upper triangular matrix is supplied. +* @throws {RangeError} third argument must be a nonnegative integer +* @throws {RangeError} fourth argument must be a nonnegative integer +* @throws {RangeError} sixteenth argument must be non-zero +* @throws {RangeError} seventeenth argument must be non-zero +* @returns {Float64Array} `C` +* +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var B = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); +* var C = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 4.0, 5.0, 0.0, 0.0, 6.0 ] ); +* +* dsyr2k( 'upper', 'no-transpose', 3, 3, 1.0, A, 3, 1, 0, B, 3, 1, 0, 1.0, C, 3, 1, 0 ); +* // C => [ 29.0, 66.0, 103.0, 0.0, 158.0, 249.0, 0.0, 0.0, 394.0 ] +*/ +function dsyr2k( uplo, trans, N, K, alpha, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB, beta, C, strideC1, strideC2, offsetC ) { // eslint-disable-line max-params, max-len + if ( !isMatrixTriangle( uplo ) ) { + throw new TypeError( format( 'invalid argument. First argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) ); + } + if ( !isMatrixTranspose( trans ) ) { + throw new TypeError( format( 'invalid argument. Second argument must be a valid transpose operation. Value: `%s`.', trans ) ); + } + if ( N < 0 ) { + throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) ); + } + if ( K < 0 ) { + throw new RangeError( format( 'invalid argument. Fourth argument must be a nonnegative integer. Value: `%d`.', K ) ); + } + if ( strideC1 === 0 ) { + throw new RangeError( format( 'invalid argument. Sixteenth argument must be non-zero. Value: `%d`.', strideC1 ) ); + } + if ( strideC2 === 0 ) { + throw new RangeError( format( 'invalid argument. Seventeenth argument must be non-zero. Value: `%d`.', strideC2 ) ); + } + return base( uplo, trans, N, K, alpha, A, strideA1, strideA2, offsetA, B, strideB1, strideB2, offsetB, beta, C, strideC1, strideC2, offsetC ); // eslint-disable-line max-len +} + + +// EXPORTS // + +module.exports = dsyr2k; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/package.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/package.json new file mode 100644 index 000000000000..501b86760988 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/package.json @@ -0,0 +1,68 @@ +{ + "name": "@stdlib/blas/base/dsyr2k", + "version": "0.0.0", + "description": "Perform one of the symmetric rank `2K` operations `C = α*A*B**T + C = α*B*A**T + β*C` or `C = α*A**T*B + α*B**T*A + β*C` where `α` and `β` are scalars, `C` is an `N` by `N` symmetric matrix and `A` and `B` are `N` by `K` matrices in the first case and `K` by `N` matricesin the second case.", + "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 3", + "dsyr2k", + "linear", + "algebra", + "subroutines", + "array", + "ndarray", + "float64", + "double", + "float64array" + ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_l_nt.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_l_nt.json new file mode 100644 index 000000000000..cc2394ed08b9 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_l_nt.json @@ -0,0 +1,36 @@ +{ + "uplo": "lower", + "trans": "no-transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 0.0, 0.0 ], + [ 1.0, 1.0, 0.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideC1": 1, + "strideC2": 3, + "offsetC": 0, + "C_out": [ 13.0, 22.0, 31.0, 0.0, 31.0, 40.0, 0.0, 0.0, 49.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_l_t.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_l_t.json new file mode 100644 index 000000000000..98d01d66c297 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_l_t.json @@ -0,0 +1,36 @@ +{ + "uplo": "lower", + "trans": "transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 0.0, 0.0 ], + [ 1.0, 1.0, 0.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideC1": 1, + "strideC2": 3, + "offsetC": 0, + "C_out": [ 25.0, 28.0, 31.0, 0.0, 31.0, 34.0, 0.0, 0.0, 37.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_u_nt.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_u_nt.json new file mode 100644 index 000000000000..964b4606db7a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_u_nt.json @@ -0,0 +1,36 @@ +{ + "uplo": "upper", + "trans": "no-transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0 ], + "C_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 0.0, 1.0, 1.0 ], + [ 0.0, 0.0, 1.0 ] + ], + "strideC1": 1, + "strideC2": 3, + "offsetC": 0, + "C_out": [ 13.0, 0.0, 0.0, 22.0, 31.0, 0.0, 31.0, 40.0, 49.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_u_t.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_u_t.json new file mode 100644 index 000000000000..78c2d343a169 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_cc_u_t.json @@ -0,0 +1,36 @@ +{ + "uplo": "upper", + "trans": "transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0 ], + "C_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 0.0, 1.0, 1.0 ], + [ 0.0, 0.0, 1.0 ] + ], + "strideC1": 1, + "strideC2": 3, + "offsetC": 0, + "C_out": [ 25.0, 0.0, 0.0, 28.0, 31.0, 0.0, 31.0, 34.0, 37.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_l_nt.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_l_nt.json new file mode 100644 index 000000000000..2f20f826b89c --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_l_nt.json @@ -0,0 +1,36 @@ +{ + "uplo": "lower", + "trans": "no-transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0 ], + "C_mat": [ + [ 1.0, 0.0, 0.0 ], + [ 1.0, 1.0, 0.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideC1": 3, + "strideC2": 1, + "offsetC": 0, + "C_out": [ 13.0, 0.0, 0.0, 22.0, 31.0, 0.0, 31.0, 40.0, 49.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_l_t.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_l_t.json new file mode 100644 index 000000000000..42f7469d5c93 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_l_t.json @@ -0,0 +1,36 @@ +{ + "uplo": "lower", + "trans": "transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0 ], + "C_mat": [ + [ 1.0, 0.0, 0.0 ], + [ 1.0, 1.0, 0.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideC1": 3, + "strideC2": 1, + "offsetC": 0, + "C_out": [ 25.0, 0.0, 0.0, 28.0, 31.0, 0.0, 31.0, 34.0, 37.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_u_nt.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_u_nt.json new file mode 100644 index 000000000000..5760cfc7e83f --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_u_nt.json @@ -0,0 +1,36 @@ +{ + "uplo": "upper", + "trans": "no-transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 0.0, 1.0, 1.0 ], + [ 0.0, 0.0, 1.0 ] + ], + "strideC1": 3, + "strideC2": 1, + "offsetC": 0, + "C_out": [ 13.0, 22.0, 31.0, 0.0, 31.0, 40.0, 0.0, 0.0, 49.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_u_t.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_u_t.json new file mode 100644 index 000000000000..2b53255fc809 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_cb_rc_u_t.json @@ -0,0 +1,36 @@ +{ + "uplo": "upper", + "trans": "transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 1, + "strideB2": 3, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 0.0, 1.0, 1.0 ], + [ 0.0, 0.0, 1.0 ] + ], + "strideC1": 3, + "strideC2": 1, + "offsetC": 0, + "C_out": [ 25.0, 28.0, 31.0, 0.0, 31.0, 34.0, 0.0, 0.0, 37.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_rb_cc_l_nt.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_rb_cc_l_nt.json new file mode 100644 index 000000000000..505e729a46cd --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_rb_cc_l_nt.json @@ -0,0 +1,36 @@ +{ + "uplo": "lower", + "trans": "no-transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 1, + "strideA2": 3, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 3, + "strideB2": 1, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 0.0, 0.0 ], + [ 1.0, 1.0, 0.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideC1": 1, + "strideC2": 3, + "offsetC": 0, + "C_out": [ 13.0, 22.0, 31.0, 0.0, 31.0, 40.0, 0.0, 0.0, 49.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_rb_cc_l_t.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_rb_cc_l_t.json new file mode 100644 index 000000000000..93d31b5d3921 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/ca_rb_cc_l_t.json @@ -0,0 +1,36 @@ +{ + "uplo": "lower", + "trans": "transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 4.0, 7.0, 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5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "strideA1": 3, + "strideA2": 1, + "offsetA": 0, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "strideB1": 3, + "strideB2": 1, + "offsetB": 0, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 0.0, 1.0, 1.0 ], + [ 0.0, 0.0, 1.0 ] + ], + "strideC1": 3, + "strideC2": 1, + "offsetC": 0, + "C_out": [ 25.0, 28.0, 31.0, 0.0, 31.0, 34.0, 0.0, 0.0, 37.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_l_nt.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_l_nt.json new file mode 100644 index 000000000000..f9410f3618ec --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_l_nt.json @@ -0,0 +1,31 @@ +{ + "order": "row-major", + "uplo": "lower", + "trans": "no-transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "lda": 3, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "ldb": 3, + "beta": 1.0, + "C": [ 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0 ], + "C_mat": [ + [ 1.0, 0.0, 0.0 ], + [ 1.0, 1.0, 0.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "ldc": 3, + "C_out": [ 13.0, 0.0, 0.0, 22.0, 31.0, 0.0, 31.0, 40.0, 49.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_l_t.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_l_t.json new file mode 100644 index 000000000000..245a3b0f5ba2 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_l_t.json @@ -0,0 +1,31 @@ +{ + "order": "row-major", + "uplo": "lower", + "trans": "transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "lda": 3, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "ldb": 3, + "beta": 1.0, + "C": [ 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0, 1.0 ], + "C_mat": [ + [ 1.0, 0.0, 0.0 ], + [ 1.0, 1.0, 0.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "ldc": 3, + "C_out": [ 25.0, 0.0, 0.0, 28.0, 31.0, 0.0, 31.0, 34.0, 37.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_u_nt.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_u_nt.json new file mode 100644 index 000000000000..6ec4053ddca1 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_u_nt.json @@ -0,0 +1,31 @@ +{ + "order": "row-major", + "uplo": "upper", + "trans": "no-transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "lda": 3, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "ldb": 3, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 0.0, 1.0, 1.0 ], + [ 0.0, 0.0, 1.0 ] + ], + "ldc": 3, + "C_out": [ 13.0, 22.0, 31.0, 0.0, 31.0, 40.0, 0.0, 0.0, 49.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_u_t.json b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_u_t.json new file mode 100644 index 000000000000..11719119fd02 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/fixtures/row_major_u_t.json @@ -0,0 +1,31 @@ +{ + "order": "row-major", + "uplo": "upper", + "trans": "transpose", + "N": 3, + "K": 3, + "alpha": 1.0, + "A": [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ], + "A_mat": [ + [ 1.0, 2.0, 3.0 ], + [ 4.0, 5.0, 6.0 ], + [ 7.0, 8.0, 9.0 ] + ], + "lda": 3, + "B": [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ], + "B_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ], + [ 1.0, 1.0, 1.0 ] + ], + "ldb": 3, + "beta": 1.0, + "C": [ 1.0, 1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0 ], + "C_mat": [ + [ 1.0, 1.0, 1.0 ], + [ 0.0, 1.0, 1.0 ], + [ 0.0, 0.0, 1.0 ] + ], + "ldc": 3, + "C_out": [ 25.0, 28.0, 31.0, 0.0, 31.0, 34.0, 0.0, 0.0, 37.0 ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.dsyr2k.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.dsyr2k.js new file mode 100644 index 000000000000..f6a05e0fd4c0 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.dsyr2k.js @@ -0,0 +1,671 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +/* eslint-disable max-len */ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dscal = require( '@stdlib/blas/base/dscal' ); +var dsyr2k = require( './../lib/dsyr2k.js' ); + + +// FIXTURES // + +var clnt = require( './fixtures/column_major_l_nt.json' ); +var cunt = require( './fixtures/column_major_u_nt.json' ); +var clt = require( './fixtures/column_major_l_t.json' ); +var cut = require( './fixtures/column_major_u_t.json' ); + +var rlnt = require( './fixtures/row_major_l_nt.json' ); +var runt = require( './fixtures/row_major_u_nt.json' ); +var rlt = require( './fixtures/row_major_l_t.json' ); +var rut = require( './fixtures/row_major_u_t.json' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dsyr2k, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 13', function test( t ) { + t.strictEqual( dsyr2k.length, 13, 'returns expected value' ); + t.end(); +}); + +tape( 'the function throws an error if provided an invalid first argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + 'foo', + 'bar', + 'beep', + 'boop' + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( value, data.uplo, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid second argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + 'foo', + 'bar', + 'beep', + 'boop' + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.order, value, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid third argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + 'foo', + 'bar', + 'beep', + 'boop' + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.order, data.uplo, value, data.N, data.K, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid fourth argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + -1, + -2, + -3 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.order, data.uplo, data.trans, value, data.K, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid fifth argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + -1, + -2, + -3 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.order, data.uplo, data.trans, value, data.K, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid eighth argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + 2, + 1, + 0, + -1, + -2, + -3 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), value, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), data.ldc ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid tenth argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + 2, + 1, + 0, + -1, + -2, + -3 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), value, data.beta, new Float64Array( data.C ), data.ldc ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid thirteenth argument', function test( t ) { + var values; + var data; + var i; + + data = rlnt; + + values = [ + 2, + 1, + 0, + -1, + -2, + -3 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), data.lda, new Float64Array( data.B ), data.ldb, data.beta, new Float64Array( data.C ), value ); + }; + } +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row-major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rlnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column-major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = clnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row-major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = runt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column-major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row-major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rlt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column-major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = clt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row-major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column-major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function returns a reference to the third input matrix (row-major)', function test( t ) { + var data; + var out; + var a; + var b; + var c; + + data = rut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.end(); +}); + +tape( 'the function returns a reference to the third input matrix (column-major)', function test( t ) { + var data; + var out; + var a; + var b; + var c; + + data = cut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.end(); +}); + +tape( 'if `N` is `0`, the function returns the third input matrix unchanged (row-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C ); + + out = dsyr2k( data.order, data.uplo, data.trans, 0, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is `0`, the function returns the third input matrix unchanged (column-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C ); + + out = dsyr2k( data.order, data.uplo, data.trans, 0, data.K, data.alpha, a, data.lda, b, data.ldb, data.beta, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` or `K` is `0` and `β` is `1`, the function returns the third input matrix unchanged (row-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, 0.0, a, data.lda, b, data.ldb, 1.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, 0, data.alpha, a, data.lda, b, data.ldb, 1.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` or `K` is `0` and `β` is `1`, the function returns the third input matrix unchanged (column-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, 0.0, a, data.lda, b, data.ldb, 1.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, 0, data.alpha, a, data.lda, b, data.ldb, 1.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` is `0` and `β` is `0`, the function returns the third input matrix filled with zeros (row-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( c.length ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, 0.0, a, data.lda, b, data.ldb, 0.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` is `0` and `β` is `0`, the function returns the third input matrix filled with zeros (column-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( c.length ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, 0.0, a, data.lda, b, data.ldb, 0.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` is `0` and `β` is neither `0` nor `1`, the function returns the third input matrix scaled by `β` (row-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = dscal( c.length, 10.0, new Float64Array( c ), 1 ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, 0.0, a, data.lda, b, data.ldb, 10.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` is `0` and `β` is neither `0` nor `1`, the function returns the third input matrix scaled by `β` (column-major)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = dscal( c.length, 10.0, new Float64Array( c ), 1 ); + + out = dsyr2k( data.order, data.uplo, data.trans, data.N, data.K, 0.0, a, data.lda, b, data.ldb, 10.0, c, data.ldc ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.js new file mode 100644 index 000000000000..2074ac107e97 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.js @@ -0,0 +1,82 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var proxyquire = require( 'proxyquire' ); +var IS_BROWSER = require( '@stdlib/assert/is-browser' ); +var dsyr2k = 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 dsyr2k, '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 dsyr2k.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 dsyr2k = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire + }); + + t.strictEqual( dsyr2k, 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 dsyr2k; + var main; + + main = require( './../lib/dsyr2k.js' ); + + dsyr2k = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire + }); + + t.strictEqual( dsyr2k, main, 'returns expected value' ); + t.end(); + + function tryRequire() { + return new Error( 'Cannot find module' ); + } +}); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.ndarray.js new file mode 100644 index 000000000000..844cad197722 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2k/test/test.ndarray.js @@ -0,0 +1,1414 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +/* eslint-disable max-len */ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dscal = require( '@stdlib/blas/base/dscal' ); +var dsyr2k = require( './../lib/ndarray.js' ); + + +// FIXTURES // + +var cacbcclnt = require( './fixtures/ca_cb_cc_l_nt.json' ); +var cacbcclt = require( './fixtures/ca_cb_cc_l_t.json' ); +var cacbccunt = require( './fixtures/ca_cb_cc_u_nt.json' ); +var cacbccut = require( './fixtures/ca_cb_cc_u_t.json' ); +var cacbrclnt = require( './fixtures/ca_cb_rc_l_nt.json' ); +var cacbrclt = require( './fixtures/ca_cb_rc_l_t.json' ); +var cacbrcunt = require( './fixtures/ca_cb_rc_u_nt.json' ); +var cacbrcut = require( './fixtures/ca_cb_rc_u_t.json' ); +var carbcclnt = require( './fixtures/ca_rb_cc_l_nt.json' ); +var carbcclt = require( './fixtures/ca_rb_cc_l_t.json' ); +var carbccunt = require( './fixtures/ca_rb_cc_u_nt.json' ); +var carbccut = require( './fixtures/ca_rb_cc_u_t.json' ); +var carbrclnt = require( './fixtures/ca_rb_rc_l_nt.json' ); +var carbrclt = require( './fixtures/ca_rb_rc_l_t.json' ); +var carbrcunt = require( './fixtures/ca_rb_rc_u_nt.json' ); +var carbrcut = require( './fixtures/ca_rb_rc_u_t.json' ); + +var racbcclnt = require( './fixtures/ra_cb_cc_l_nt.json' ); +var racbcclt = require( './fixtures/ra_cb_cc_l_t.json' ); +var racbccunt = require( './fixtures/ra_cb_cc_u_nt.json' ); +var racbccut = require( './fixtures/ra_cb_cc_u_t.json' ); +var racbrclnt = require( './fixtures/ra_cb_rc_l_nt.json' ); +var racbrclt = require( './fixtures/ra_cb_rc_l_t.json' ); +var racbrcunt = require( './fixtures/ra_cb_rc_u_nt.json' ); +var racbrcut = require( './fixtures/ra_cb_rc_u_t.json' ); +var rarbcclnt = require( './fixtures/ra_rb_cc_l_nt.json' ); +var rarbcclt = require( './fixtures/ra_rb_cc_l_t.json' ); +var rarbccunt = require( './fixtures/ra_rb_cc_u_nt.json' ); +var rarbccut = require( './fixtures/ra_rb_cc_u_t.json' ); +var rarbrclnt = require( './fixtures/ra_rb_rc_l_nt.json' ); +var rarbrclt = require( './fixtures/ra_rb_rc_l_t.json' ); +var rarbrcunt = require( './fixtures/ra_rb_rc_u_nt.json' ); +var rarbrcut = require( './fixtures/ra_rb_rc_u_t.json' ); + +var rarbrcuntsa1sa2 = require( './fixtures/ra_rb_rc_u_nt_sa1_sa2.json' ); +var rarbrcuntsa1nsa2 = require( './fixtures/ra_rb_rc_u_nt_sa1n_sa2.json' ); +var rarbrcuntsa1sa2n = require( './fixtures/ra_rb_rc_u_nt_sa1_sa2n.json' ); +var rarbrcuntsa1nsa2n = require( './fixtures/ra_rb_rc_u_nt_sa1n_sa2n.json' ); +var rarbrcuntsb1sb2 = require( './fixtures/ra_rb_rc_u_nt_sb1_sb2.json' ); +var rarbrcuntsb1nsb2 = require( './fixtures/ra_rb_rc_u_nt_sb1n_sb2.json' ); +var rarbrcuntsb1sb2n = require( './fixtures/ra_rb_rc_u_nt_sb1_sb2n.json' ); +var rarbrcuntsb1nsb2n = require( './fixtures/ra_rb_rc_u_nt_sb1n_sb2n.json' ); +var rarbrcltsc1sc2 = require( './fixtures/ra_rb_rc_l_t_sc1_sc2.json' ); +var rarbrcltsc1nsc2 = require( './fixtures/ra_rb_rc_l_t_sc1n_sc2.json' ); +var rarbrcltsc1sc2n = require( './fixtures/ra_rb_rc_l_t_sc1_sc2n.json' ); +var rarbrcltsc1nsc2n = require( './fixtures/ra_rb_rc_l_t_sc1n_sc2n.json' ); +var rarbrclntoa = require( './fixtures/ra_rb_rc_l_nt_oa.json' ); +var rarbrclntob = require( './fixtures/ra_rb_rc_l_nt_ob.json' ); +var rarbrclntoc = require( './fixtures/ra_rb_rc_l_nt_oc.json' ); +var cap = require( './fixtures/ra_rb_rc_l_nt_complex_access_pattern.json' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dsyr2k, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 18', function test( t ) { + t.strictEqual( dsyr2k.length, 18, 'returns expected value' ); + t.end(); +}); + +tape( 'the function throws an error if provided an invalid first argument', function test( t ) { + var values; + var data; + var i; + + data = rarbrclnt; + + values = [ + 'foo', + 'bar', + 'beep', + 'boop' + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( value, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid second argument', function test( t ) { + var values; + var data; + var i; + + data = rarbrclnt; + + values = [ + 'foo', + 'bar', + 'beep', + 'boop' + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.uplo, value, data.N, data.K, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid third argument', function test( t ) { + var values; + var data; + var i; + + data = rarbrclnt; + + values = [ + -1, + -2, + -3 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.uplo, data.trans, value, data.K, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid fourth argument', function test( t ) { + var values; + var data; + var i; + + data = rarbrclnt; + + values = [ + -1, + -2, + -3 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.uplo, data.trans, value, data.K, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, data.strideC2, data.offsetC ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid sixteenth argument', function test( t ) { + var values; + var data; + var i; + + data = rarbrclnt; + + values = [ + 0 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), value, data.strideC2, data.offsetC ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid seventeenth argument', function test( t ) { + var values; + var data; + var i; + + data = rarbrclnt; + + values = [ + 0 + ]; + + for ( i = 0; i < values.length; i++ ) { + t.throws( badValue( values[ i ] ), RangeError, 'throws an error when provided ' + values[ i ] ); + } + t.end(); + + function badValue( value ) { + return function badValue() { + dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA, new Float64Array( data.B ), data.strideB1, data.strideB2, data.offsetB, data.beta, new Float64Array( data.C ), data.strideC1, value, data.offsetC ); + }; + } +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, column_major, column_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbcclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, column_major, column_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbccunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, column_major, column_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbcclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, column_major, column_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbccut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, column_major, row_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbrclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, column_major, row_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbrcunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, column_major, row_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbrclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, column_major, row_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cacbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, row_major, column_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbcclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, row_major, column_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbccunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, row_major, column_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbcclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, row_major, column_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbccut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, row_major, row_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbrclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (column_major, row_major, row_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbrcunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, row_major, row_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbrclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (column_major, row_major, row_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = carbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, column_major, column_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbcclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, column_major, column_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbccunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, column_major, column_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbcclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, column_major, column_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbccut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, column_major, row_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbrclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, column_major, row_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbrcunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, column_major, row_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbrclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, column_major, row_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = racbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, row_major, column_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbcclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, row_major, column_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbccunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, row_major, column_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbcclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, row_major, column_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbccut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, row_major, row_major, lower, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A*B**T + C = α*B*A**T + β*C` (row_major, row_major, row_major, upper, no-transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcunt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, row_major, row_major, lower, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrclt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function performs the matrix-matrix operation `C = α*A**T*B + α*B**T*A + β*C` (row_major, row_major, row_major, upper, transpose)', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function returns a reference to the third input matrix', function test( t ) { + var data; + var out; + var a; + var b; + var c; + + data = rarbrclnt; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.end(); +}); + +tape( 'if `N` is `0`, the function returns the third input matrix unchanged', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C ); + + out = dsyr2k( data.uplo, data.trans, 0, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` or `K` is `0` and `β` is `1`, the function returns the third input matrix unchanged', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, 0.0, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, 1.0, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + out = dsyr2k( data.uplo, data.trans, data.N, 0, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, 1.0, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` is `0` and `β` is `0`, the function returns the third input matrix filled with zeros', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( c.length ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, 0.0, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, 0.0, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `α` is `0` and `β` is neither `0` nor `1`, the function returns the third input matrix scaled by `β`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcut; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = dscal( c.length, 10.0, new Float64Array( c ), 1 ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, 0.0, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, 10.0, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying the strides of the first and second dimensions of `A`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsa1sa2; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative stride for the first dimension of `A`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsa1nsa2; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative stride for the second dimension of `A`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsa1sa2n; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports negative strides for `A`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsa1nsa2n; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports specifying an offset parameter for `A`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrclntoa; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports specifying the strides of the first and second dimensions of `B`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsb1sb2; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative stride for the first dimension of `B`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsb1nsb2; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative stride for the second dimension of `B`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsb1sb2n; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports negative strides for `B`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcuntsb1nsb2n; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports specifying an offset parameter for `B`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrclntob; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports specifying the strides of the first and second dimensions of `C`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcltsc1sc2; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative stride for the first dimension of `C`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcltsc1nsc2; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative stride for the second dimension of `C`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcltsc1sc2n; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports negative strides for `C`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrcltsc1nsc2n; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports specifying an offset parameter for `C`', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = rarbrclntoc; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports complex access patterns', function test( t ) { + var expected; + var data; + var out; + var a; + var b; + var c; + + data = cap; + + a = new Float64Array( data.A ); + b = new Float64Array( data.B ); + c = new Float64Array( data.C ); + + expected = new Float64Array( data.C_out ); + + out = dsyr2k( data.uplo, data.trans, data.N, data.K, data.alpha, a, data.strideA1, data.strideA2, data.offsetA, b, data.strideB1, data.strideB2, data.offsetB, data.beta, c, data.strideC1, data.strideC2, data.offsetC ); + t.strictEqual( out, c, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + t.end(); +});