diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/README.md b/lib/node_modules/@stdlib/blas/base/dsyr2/README.md index a94a443ea293..b4c40e38087f 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/README.md +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/README.md @@ -37,12 +37,12 @@ Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`, where `α ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); +var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); -// A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] +// A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] ``` The function has the following parameters: @@ -52,9 +52,9 @@ The function has the following parameters: - **N**: number of elements along each dimension of `A`. - **α**: scalar constant. - **x**: first input [`Float64Array`][mdn-float64array]. -- **sx**: index increment for `x`. +- **sx**: stride length for `x`. - **y**: second input [`Float64Array`][mdn-float64array]. -- **sy**: index increment for `y`. +- **sy**: stride length for `y`. - **A**: input matrix stored in linear memory as a [`Float64Array`][mdn-float64array]. - **lda**: stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`). @@ -63,12 +63,12 @@ The stride parameters determine how elements in the input arrays are accessed at ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); +var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); dsyr2( 'row-major', 'upper', 3, 1.0, x, 2, y, 1, A, 3 ); -// A => [ 3.0, 7.0, 11.0, 0.0, 13.0, 21.0, 0.0, 0.0, 31.0 ] +// A => [ 3.0, 7.0, 11.0, 2.0, 13.0, 21.0, 3.0, 2.0, 31.0 ] ``` Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. @@ -81,14 +81,14 @@ var Float64Array = require( '@stdlib/array/float64' ); // Initial arrays... var x0 = new Float64Array( [ 0.0, 1.0, 1.0, 1.0 ] ); var y0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] ); -var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); +var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // Create offset views... var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); // start at 2nd element dsyr2( 'row-major', 'upper', 3, 1.0, x1, 1, y1, 1, A, 3 ); -// A => [ 3.0, 5.0, 7.0, 0.0, 5.0, 7.0, 0.0, 0.0, 7.0 ] +// A => [ 3.0, 5.0, 7.0, 2.0, 5.0, 7.0, 3.0, 2.0, 7.0 ] ``` #### dsyr2.ndarray( uplo, N, α, x, sx, ox, y, sy, oy, A, sa1, sa2, oa ) @@ -98,12 +98,12 @@ Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`, using alt ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); +var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); dsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 ); -// A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] +// A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] ``` The function has the following additional parameters: @@ -119,12 +119,12 @@ While [`typed array`][mdn-typed-array] views mandate a view offset based on the ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); +var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); dsyr2.ndarray( 'upper', 3, 1.0, x, -2, 4, y, 1, 0, A, 3, 1, 0 ); -// A => [ 11.0, 15.0, 19.0, 0.0, 13.0, 13.0, 0.0, 0.0, 7.0 ] +// A => [ 11.0, 15.0, 19.0, 2.0, 13.0, 13.0, 3.0, 2.0, 7.0 ] ``` @@ -158,12 +158,19 @@ var opts = { var N = 3; -var A = ones( N*N, opts.dtype ); +// Create N-by-N symmetric matrices: +var A1 = ones( N*N, opts.dtype ); +var A2 = ones( N*N, opts.dtype ); + +// Create random vectors: var x = discreteUniform( N, -10.0, 10.0, opts ); var y = discreteUniform( N, -10.0, 10.0, opts ); -dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); -console.log( A ); +dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A1, 3 ); +console.log( A1 ); + +dsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A2, 3, 1, 0 ); +console.log( A2 ); ``` @@ -193,21 +200,74 @@ console.log( A ); ### Usage ```c -TODO +#include "stdlib/blas/base/dsyr2.h" +``` + +#### c_dsyr2( order, uplo, N, alpha, \*X, sx, \*Y, sy, \*A, LDA ) + +Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix. + +```c +#include "stdlib/blas/base/shared.h" + +double A[] = { 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 }; +const double x[] = { 1.0, 2.0, 3.0 }; +const double y[] = { 1.0, 2.0, 3.0 }; + +c_dsyr2( CblasColMajor, CblasUpper, 3, 1.0, x, 1, y, 1, A, 3 ); ``` -#### TODO +The function accepts the following arguments: -TODO. +- **order**: `[in] CBLAS_LAYOUT` storage layout. +- **uplo**: `[in] CBLAS_UPLO` specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced. +- **N**: `[in] CBLAS_INT` number of elements along each dimension of `A`. +- **alpha**: `[in] double` scalar constant. +- **X**: `[in] double*` first input array. +- **strideX**: `[in] CBLAS_INT` stride length for `X`. +- **Y**: `[in] double*` second input array. +- **strideY**: `[in] CBLAS_INT` stride length for `Y`. +- **A**: `[inout] double*` input matrix. +- **LDA**: `[in] CBLAS_INT` stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`). ```c -TODO +void c_dsyr2( const CBLAS_LAYOUT order, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY, double *A, const CBLAS_INT LDA ) +``` + + + +#### c_dsyr2_ndarray( uplo, N, alpha, \*X, sx, ox, \*Y, sy, oy, \*A, sa1, sa2, oa ) + +Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`, using alternative indexing semantics and where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix. + +```c +#include "stdlib/blas/base/shared.h" + +double A[] = { 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 }; +const double x[] = { 1.0, 2.0, 3.0 }; +const double y[] = { 1.0, 2.0, 3.0 }; + +c_dsyr2_ndarray( CblasUpper, 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 ); ``` -TODO +The function accepts the following arguments: + +- **uplo**: `[in] CBLAS_UPLO` specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced. +- **N**: `[in] CBLAS_INT` number of elements along each dimension of `A`. +- **alpha**: `[in] double` scalar constant. +- **X**: `[in] double*` first input array. +- **sx**: `[in] CBLAS_INT` stride length for `X`. +- **ox**: `[in] CBLAS_INT` starting index for `X`. +- **Y**: `[in] double` second input array. +- **sy**: `[in] CBLAS_INT` stride length for `Y`. +- **oy**: `[in] CBLAS_INT` starting index for `Y`. +- **A**: `[inout] double*` input matrix. +- **sa1**: `[in] CBLAS_INT` stride of the first dimension of `A`. +- **sa2**: `[in] CBLAS_INT` stride of the second dimension of `A`. +- **oa**: `[in] CBLAS_INT` starting index for `A`. ```c -TODO +void c_dsyr2_ndarray( const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const double *Y, CBLAS_INT strideY, const CBLAS_INT offsetY, double *A, const CBLAS_INT strideA1, const CBLAS_INT strideA2, const CBLAS_INT offsetA ) ``` @@ -229,7 +289,47 @@ TODO ### Examples ```c -TODO +#include "stdlib/blas/base/dsyr2.h" +#include "stdlib/blas/base/shared.h" +#include + +int main( void ) { + // Define 3x3 symmetric matrices stored in row-major layout: + double A1[ 3*3 ] = { + 1.0, 2.0, 3.0, + 2.0, 1.0, 2.0, + 3.0, 2.0, 1.0 + }; + + double A2[ 3*3 ] = { + 1.0, 2.0, 3.0, + 2.0, 1.0, 2.0, + 3.0, 2.0, 1.0 + }; + + // Define `x` and `y` vectors: + const double x[ 3 ] = { 1.0, 2.0, 3.0 }; + const double y[ 3 ] = { 1.0, 2.0, 3.0 }; + + // Specify the number of elements along each dimension of `A1` and `A2`: + const int N = 3; + + // Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`: + c_dsyr2( CblasColMajor, CblasUpper, N, 1.0, x, 1, y, 1, A1, N ); + + // Print the result: + for ( int i = 0; i < N*N; i++ ) { + printf( "A1[ %i ] = %lf\n", i, A1[ i ] ); + } + + // Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` using alternative indexing semantics: + c_dsyr2_ndarray( CblasUpper, N, 1.0, x, 1, 0, y, 1, 0, A2, N, 1, 0 ); + + // Print the result: + for ( int i = 0; i < N*N; i++ ) { + printf( "A2[ %i ] = %lf\n", i, A2[ i ] ); + } +} ``` diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/benchmark.native.js new file mode 100644 index 000000000000..0ce3799353f6 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/benchmark.native.js @@ -0,0 +1,110 @@ +/** +* @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 resolve = require( 'path' ).resolve; +var bench = require( '@stdlib/bench' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var ones = require( '@stdlib/array/ones' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dsyr2 = tryRequire( resolve( __dirname, './../lib/dsyr2.native.js' ) ); +var opts = { + 'skip': ( dsyr2 instanceof Error ) +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} N - number of elements along each dimension +* @returns {Function} benchmark function +*/ +function createBenchmark( N ) { + var x = ones( N, options.dtype ); + var y = ones( N, options.dtype ); + var A = ones( N*N, options.dtype ); + 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 = dsyr2( 'row-major', 'upper', N, 1.0, x, 1, y, 1, A, 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 min; + var max; + var N; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + N = floor( pow( pow( 10, i ), 1.0/2.0 ) ); + f = createBenchmark( N ); + bench( pkg+'::native:size='+(N*N), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/benchmark.ndarray.native.js new file mode 100644 index 000000000000..534af4370389 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/benchmark.ndarray.native.js @@ -0,0 +1,110 @@ +/** +* @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 resolve = require( 'path' ).resolve; +var bench = require( '@stdlib/bench' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var ones = require( '@stdlib/array/ones' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dsyr2 = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dsyr2 instanceof Error ) +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} N - number of elements along each dimension +* @returns {Function} benchmark function +*/ +function createBenchmark( N ) { + var x = ones( N, options.dtype ); + var y = ones( N, options.dtype ); + var A = ones( N*N, options.dtype ); + 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 = dsyr2( 'upper', N, 1.0, x, 1, 0, y, 1, 0, A, 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 min; + var max; + var N; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + N = floor( pow( pow( 10, i ), 1.0/2.0 ) ); + f = createBenchmark( N ); + bench( pkg+'::native:ndarray:size='+(N*N), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/c/Makefile b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/c/Makefile new file mode 100644 index 000000000000..a4bd7b38fd74 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @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. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + +# Define the program used for compiling C source files: +ifdef C_COMPILER + CC := $(C_COMPILER) +else + CC := gcc +endif + +# Define the command-line options when compiling C files: +CFLAGS ?= \ + -std=c99 \ + -O3 \ + -Wall \ + -pedantic + +# Determine whether to generate position independent code ([1][1], [2][2]). +# +# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options +# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option +ifeq ($(OS), WINNT) + fPIC ?= +else + fPIC ?= -fPIC +endif + +# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`): +INCLUDE ?= + +# List of source files: +SOURCE_FILES ?= + +# List of libraries (e.g., `-lopenblas -lpthread`): +LIBRARIES ?= + +# List of library paths (e.g., `-L /foo/bar -L /beep/boop`): +LIBPATH ?= + +# List of C targets: +c_targets := benchmark.out + + +# RULES # + +#/ +# Compiles source files. +# +# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`) +# @param {string} [CFLAGS] - C compiler options +# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make +# +# @example +# make all +#/ +all: $(c_targets) + +.PHONY: all + +#/ +# Compiles C source files. +# +# @private +# @param {string} CC - C compiler (e.g., `gcc`) +# @param {string} CFLAGS - C compiler options +# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`) +# @param {string} SOURCE_FILES - list of source files +# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`) +# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`) +#/ +$(c_targets): %.out: %.c + $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES) + +#/ +# Runs compiled benchmarks. +# +# @example +# make run +#/ +run: $(c_targets) + $(QUIET) ./$< + +.PHONY: run + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: + $(QUIET) -rm -f *.o *.out + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/c/benchmark.c new file mode 100644 index 000000000000..7605a9f065f7 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/benchmark/c/benchmark.c @@ -0,0 +1,183 @@ +/** +* @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. +*/ + +#include "stdlib/blas/base/dsyr2.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/blas/ext/base/dfill.h" +#include +#include +#include +#include +#include + +#define NAME "dsyr2" +#define ITERATIONS 10000000 +#define REPEATS 3 +#define MIN 1 +#define MAX 6 + +/** +* Prints the TAP version. +*/ +static void print_version( void ) { + printf( "TAP version 13\n" ); +} + +/** +* Prints the TAP summary. +* +* @param total total number of tests +* @param passing total number of passing tests +*/ +static void print_summary( int total, int passing ) { + printf( "#\n" ); + printf( "1..%d\n", total ); // TAP plan + printf( "# total %d\n", total ); + printf( "# pass %d\n", passing ); + printf( "#\n" ); + printf( "# ok\n" ); +} + +/** +* Prints benchmarks results. +* +* @param iterations number of iterations +* @param elapsed elapsed time in seconds +*/ +static void print_results( int iterations, double elapsed ) { + double rate = (double)iterations / elapsed; + printf( " ---\n" ); + printf( " iterations: %d\n", iterations ); + printf( " elapsed: %0.9f\n", elapsed ); + printf( " rate: %0.9f\n", rate ); + printf( " ...\n" ); +} + +/** +* Returns a clock time. +* +* @return clock time +*/ +static double tic( void ) { + struct timeval now; + gettimeofday( &now, NULL ); + return (double)now.tv_sec + (double)now.tv_usec/1.0e6; +} + +/** +* Runs a benchmark. +* +* @param iterations number of iterations +* @param N array dimension size +* @return elapsed time in seconds +*/ +static double benchmark1( int iterations, int N ) { + double elapsed; + double A[ N*N ]; + double x[ N ]; + double y[ N ]; + double t; + int i; + + stdlib_strided_dfill( N, 1.0, x, 1 ); + stdlib_strided_dfill( N, 1.0, y, 1 ); + stdlib_strided_dfill( N*N, 1.0, A, 1 ); + t = tic(); + for ( i = 0; i < iterations; i++ ) { + c_dsyr2( CblasRowMajor, CblasUpper, N, 1.0, x, 1, y, 1, A, N ); + if ( A[ i%(N*2) ] != A[ i%(N*2) ] ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( A[ i%(N*2) ] != A[ i%(N*2) ] ) { + printf( "should not return NaN\n" ); + } + return elapsed; +} + +/** +* Runs a benchmark. +* +* @param iterations number of iterations +* @param N array dimension size +* @return elapsed time in seconds +*/ +static double benchmark2( int iterations, int N ) { + double elapsed; + double A[ N*N ]; + double x[ N ]; + double y[ N ]; + double t; + int i; + + stdlib_strided_dfill( N, 1.0, x, 1 ); + stdlib_strided_dfill( N, 1.0, y, 1 ); + stdlib_strided_dfill( N*N, 1.0, A, 1 ); + t = tic(); + for ( i = 0; i < iterations; i++ ) { + c_dsyr2_ndarray( CblasUpper, N, 1.0, x, 1, 0, y, 1, 0, A, N, 1, 0 ); + if ( A[ i%(N*2) ] != A[ i%(N*2) ] ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( A[ i%(N*2) ] != A[ i%(N*2) ] ) { + printf( "should not return NaN\n" ); + } + return elapsed; +} + +/** +* Main execution sequence. +*/ +int main( void ) { + double elapsed; + int count; + int iter; + int i; + int j; + int N; + + // Use the current time to seed the random number generator: + srand( time( NULL ) ); + + print_version(); + count = 0; + for ( i = MIN; i <= MAX; i++ ) { + N = floor( pow( pow( 10, i ), 1.0/2.0 ) ); + iter = ITERATIONS / pow( 10, i-1 ); + for ( j = 0; j < REPEATS; j++ ) { + count += 1; + printf( "# c::%s:size=%d\n", NAME, N*N ); + elapsed = benchmark1( iter, N ); + print_results( iter, elapsed ); + printf( "ok %d benchmark finished\n", count ); + } + for ( j = 0; j < REPEATS; j++ ) { + count += 1; + printf( "# c::%s:ndarray:size=%d\n", NAME, N*N ); + elapsed = benchmark2( iter, N ); + print_results( iter, elapsed ); + printf( "ok %d benchmark finished\n", count ); + } + } + print_summary( count, count ); +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/binding.gyp b/lib/node_modules/@stdlib/blas/base/dsyr2/binding.gyp new file mode 100644 index 000000000000..08de71a2020e --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/binding.gyp @@ -0,0 +1,265 @@ +# @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. + +# A `.gyp` file for building a Node.js native add-on. +# +# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md +# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md +{ + # List of files to include in this file: + 'includes': [ + './include.gypi', + ], + + # Define variables to be used throughout the configuration for all targets: + 'variables': { + # Target name should match the add-on export name: + 'addon_target_name%': 'addon', + + # Fortran compiler (to override -Dfortran_compiler=): + 'fortran_compiler%': 'gfortran', + + # Fortran compiler flags: + 'fflags': [ + # Specify the Fortran standard to which a program is expected to conform: + '-std=f95', + + # Indicate that the layout is free-form source code: + '-ffree-form', + + # Aggressive optimization: + '-O3', + + # Enable commonly used warning options: + '-Wall', + + # Warn if source code contains problematic language features: + '-Wextra', + + # Warn if a procedure is called without an explicit interface: + '-Wimplicit-interface', + + # Do not transform names of entities specified in Fortran source files by appending underscores (i.e., don't mangle names, thus allowing easier usage in C wrappers): + '-fno-underscoring', + + # Warn if source code contains Fortran 95 extensions and C-language constructs: + '-pedantic', + + # Compile but do not link (output is an object file): + '-c', + ], + + # Set variables based on the host OS: + 'conditions': [ + [ + 'OS=="win"', + { + # Define the object file suffix: + 'obj': 'obj', + }, + { + # Define the object file suffix: + 'obj': 'o', + } + ], # end condition (OS=="win") + ], # end conditions + }, # end variables + + # Define compile targets: + 'targets': [ + + # Target to generate an add-on: + { + # The target name should match the add-on export name: + 'target_name': '<(addon_target_name)', + + # Define dependencies: + 'dependencies': [], + + # Define directories which contain relevant include headers: + 'include_dirs': [ + # Local include directory: + '<@(include_dirs)', + ], + + # List of source files: + 'sources': [ + '<@(src_files)', + ], + + # Settings which should be applied when a target's object files are used as linker input: + 'link_settings': { + # Define libraries: + 'libraries': [ + '<@(libraries)', + ], + + # Define library directories: + 'library_dirs': [ + '<@(library_dirs)', + ], + }, + + # C/C++ compiler flags: + 'cflags': [ + # Enable commonly used warning options: + '-Wall', + + # Aggressive optimization: + '-O3', + ], + + # C specific compiler flags: + 'cflags_c': [ + # Specify the C standard to which a program is expected to conform: + '-std=c99', + ], + + # C++ specific compiler flags: + 'cflags_cpp': [ + # Specify the C++ standard to which a program is expected to conform: + '-std=c++11', + ], + + # Linker flags: + 'ldflags': [], + + # Apply conditions based on the host OS: + 'conditions': [ + [ + 'OS=="mac"', + { + # Linker flags: + 'ldflags': [ + '-undefined dynamic_lookup', + '-Wl,-no-pie', + '-Wl,-search_paths_first', + ], + }, + ], # end condition (OS=="mac") + [ + 'OS!="win"', + { + # C/C++ flags: + 'cflags': [ + # Generate platform-independent code: + '-fPIC', + ], + }, + ], # end condition (OS!="win") + ], # end conditions + + # Define custom build actions for particular inputs: + 'rules': [ + { + # Define a rule for processing Fortran files: + 'extension': 'f', + + # Define the pathnames to be used as inputs when performing processing: + 'inputs': [ + # Full path of the current input: + '<(RULE_INPUT_PATH)' + ], + + # Define the outputs produced during processing: + 'outputs': [ + # Store an output object file in a directory for placing intermediate results (only accessible within a single target): + '<(INTERMEDIATE_DIR)/<(RULE_INPUT_ROOT).<(obj)' + ], + + # Define the rule for compiling Fortran based on the host OS: + 'conditions': [ + [ + 'OS=="win"', + + # Rule to compile Fortran on Windows: + { + 'rule_name': 'compile_fortran_windows', + 'message': 'Compiling Fortran file <(RULE_INPUT_PATH) on Windows...', + + 'process_outputs_as_sources': 0, + + # Define the command-line invocation: + 'action': [ + '<(fortran_compiler)', + '<@(fflags)', + '<@(_inputs)', + '-o', + '<@(_outputs)', + ], + }, + + # Rule to compile Fortran on non-Windows: + { + 'rule_name': 'compile_fortran_linux', + 'message': 'Compiling Fortran file <(RULE_INPUT_PATH) on Linux...', + + 'process_outputs_as_sources': 1, + + # Define the command-line invocation: + 'action': [ + '<(fortran_compiler)', + '<@(fflags)', + '-fPIC', # generate platform-independent code + '<@(_inputs)', + '-o', + '<@(_outputs)', + ], + } + ], # end condition (OS=="win") + ], # end conditions + }, # end rule (extension=="f") + ], # end rules + }, # end target <(addon_target_name) + + # Target to copy a generated add-on to a standard location: + { + 'target_name': 'copy_addon', + + # Declare that the output of this target is not linked: + 'type': 'none', + + # Define dependencies: + 'dependencies': [ + # Require that the add-on be generated before building this target: + '<(addon_target_name)', + ], + + # Define a list of actions: + 'actions': [ + { + 'action_name': 'copy_addon', + 'message': 'Copying addon...', + + # Explicitly list the inputs in the command-line invocation below: + 'inputs': [], + + # Declare the expected outputs: + 'outputs': [ + '<(addon_output_dir)/<(addon_target_name).node', + ], + + # Define the command-line invocation: + 'action': [ + 'cp', + '<(PRODUCT_DIR)/<(addon_target_name).node', + '<(addon_output_dir)/<(addon_target_name).node', + ], + }, + ], # end actions + }, # end target copy_addon + ], # end targets +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/dsyr2/docs/repl.txt index c72246eb7aac..2dea7d6a6012 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/docs/repl.txt +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/docs/repl.txt @@ -52,11 +52,28 @@ Examples -------- + // Standard usage: > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] ); > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] ); - > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 0.0, 2.0 ] ); + > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, 1.0 ] ); > {{alias}}( 'row-major', 'upper', 2, 1.0, x, 1, y, 1, A, 2 ) - [ 3.0, 4.0, 0.0, 4.0 ] + [ 3.0, 4.0, 2.0, 3.0 ] + + // Advanced indexing: + > x = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] ); + > y = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] ); + > A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, 1.0 ] ); + > {{alias}}( 'row-major', 'upper', 2, 1.0, x, -1, y, -1, A, 2 ) + [ 3.0, 4.0, 2.0, 3.0 ] + + // Using typed array views: + > var x0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 1.0 ] ); + > var y0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 1.0 ] ); + > A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, 1.0 ] ); + > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); + > var y1 = new {{alias:@stdlib/array/float64}}( y0.buffer, y0.BYTES_PER_ELEMENT*1 ); + > {{alias}}( 'row-major', 'upper', 2, 1.0, x, 1, y, 1, A, 2 ) + [ 3.0, 4.0, 2.0, 3.0 ] {{alias}}.ndarray( uplo, N, α, x, sx, ox, y, sy, oy, A, sa1, sa2, oa ) @@ -119,9 +136,9 @@ -------- > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] ); > var y = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] ); - > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 0.0, 2.0 ] ); + > var A = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 2.0, 1.0 ] ); > {{alias}}.ndarray( 'upper', 2, 1.0, x, 1, 0, y, 1, 0, A, 2, 1, 0 ) - [ 3.0, 4.0, 0.0, 4.0 ] + [ 3.0, 4.0, 2.0, 3.0 ] See Also -------- diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/base/dsyr2/docs/types/index.d.ts index 7a9b874990be..7956c6bfa931 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/docs/types/index.d.ts @@ -44,12 +44,12 @@ interface Routine { * @example * var Float64Array = require( '@stdlib/array/float64' ); * - * var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] + * var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); - * // A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] + * // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] */ ( order: Layout, uplo: MatrixTriangle, N: number, alpha: number, x: Float64Array, strideX: number, y: Float64Array, strideY: number, A: Float64Array, LDA: number ): Float64Array; @@ -74,12 +74,12 @@ interface Routine { * @example * var Float64Array = require( '@stdlib/array/float64' ); * - * var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] + * var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 ); - * // A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] + * // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] */ ndarray( uplo: MatrixTriangle, N: number, alpha: number, x: Float64Array, strideX: number, offsetX: number, y: Float64Array, strideY: number, offsetY: number, A: Float64Array, strideA1: number, strideA2: number, offsetA: number ): Float64Array; } @@ -102,22 +102,22 @@ interface Routine { * @example * var Float64Array = require( '@stdlib/array/float64' ); * -* var A = new Float64Array( [ 1.0, 0.0, 0.0, 2.0, 1.0, 0.0, 3.0, 2.0, 1.0 ] ); +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2( 'column-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); -* // A => [ 3.0, 0.0, 0.0, 6.0, 9.0, 0.0, 9.0, 14.0, 19.0 ] +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] * * @example * var Float64Array = require( '@stdlib/array/float64' ); * -* var A = new Float64Array( [ 1.0, 1.0, 1.0, 0.0, 2.0, 2.0, 0.0, 0.0, 3.0 ] ); +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 1, 3, 0 ); -* // A => [ 3.0, 0.0, 0.0, 6.0, 9.0, 0.0, 9.0, 14.0, 19.0 ] +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] */ declare var dsyr2: Routine; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/examples/c/Makefile b/lib/node_modules/@stdlib/blas/base/dsyr2/examples/c/Makefile new file mode 100644 index 000000000000..25ced822f96a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/examples/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @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. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + +# Define the program used for compiling C source files: +ifdef C_COMPILER + CC := $(C_COMPILER) +else + CC := gcc +endif + +# Define the command-line options when compiling C files: +CFLAGS ?= \ + -std=c99 \ + -O3 \ + -Wall \ + -pedantic + +# Determine whether to generate position independent code ([1][1], [2][2]). +# +# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options +# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option +ifeq ($(OS), WINNT) + fPIC ?= +else + fPIC ?= -fPIC +endif + +# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`): +INCLUDE ?= + +# List of source files: +SOURCE_FILES ?= + +# List of libraries (e.g., `-lopenblas -lpthread`): +LIBRARIES ?= + +# List of library paths (e.g., `-L /foo/bar -L /beep/boop`): +LIBPATH ?= + +# List of C targets: +c_targets := example.out + + +# RULES # + +#/ +# Compiles source files. +# +# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`) +# @param {string} [CFLAGS] - C compiler options +# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make +# +# @example +# make all +#/ +all: $(c_targets) + +.PHONY: all + +#/ +# Compiles C source files. +# +# @private +# @param {string} CC - C compiler (e.g., `gcc`) +# @param {string} CFLAGS - C compiler options +# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`) +# @param {string} SOURCE_FILES - list of source files +# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`) +# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`) +#/ +$(c_targets): %.out: %.c + $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES) + +#/ +# Runs compiled examples. +# +# @example +# make run +#/ +run: $(c_targets) + $(QUIET) ./$< + +.PHONY: run + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: + $(QUIET) -rm -f *.o *.out + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/examples/c/example.c b/lib/node_modules/@stdlib/blas/base/dsyr2/examples/c/example.c new file mode 100644 index 000000000000..aab0d43b67da --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/examples/c/example.c @@ -0,0 +1,59 @@ +/** +* @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. +*/ + +#include "stdlib/blas/base/dsyr2.h" +#include "stdlib/blas/base/shared.h" +#include + +int main( void ) { + // Define 3x3 symmetric matrices stored in row-major layout: + double A1[ 3*3 ] = { + 1.0, 2.0, 3.0, + 2.0, 1.0, 2.0, + 3.0, 2.0, 1.0 + }; + + double A2[ 3*3 ] = { + 1.0, 2.0, 3.0, + 2.0, 1.0, 2.0, + 3.0, 2.0, 1.0 + }; + + // Define `x` and `y` vectors: + const double x[ 3 ] = { 1.0, 2.0, 3.0 }; + const double y[ 3 ] = { 1.0, 2.0, 3.0 }; + + // Specify the number of elements along each dimension of `A1` and `A2`: + const int N = 3; + + // Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`: + c_dsyr2( CblasColMajor, CblasUpper, N, 1.0, x, 1, y, 1, A1, N ); + + // Print the result: + for ( int i = 0; i < N*N; i++ ) { + printf( "A1[ %i ] = %lf\n", i, A1[ i ] ); + } + + // Perform the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` using alternative indexing semantics: + c_dsyr2_ndarray( CblasUpper, N, 1.0, x, 1, 0, y, 1, 0, A2, N, 1, 0 ); + + // Print the result: + for ( int i = 0; i < N*N; i++ ) { + printf( "A2[ %i ] = %lf\n", i, A2[ i ] ); + } +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/examples/index.js b/lib/node_modules/@stdlib/blas/base/dsyr2/examples/index.js index d8e405b8335e..fabd7886fdfe 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/examples/index.js +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/examples/index.js @@ -28,9 +28,16 @@ var opts = { var N = 3; -var A = ones( N*N, opts.dtype ); +// Define N-by-N symmetric matrices: +var A1 = ones( N*N, opts.dtype ); +var A2 = ones( N*N, opts.dtype ); + +// Create random vectors: var x = discreteUniform( N, -10.0, 10.0, opts ); var y = discreteUniform( N, -10.0, 10.0, opts ); -dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); -console.log( A ); +dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A1, 3 ); +console.log( A1 ); + +dsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A2, 3, 1, 0 ); +console.log( A2 ); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/include.gypi b/lib/node_modules/@stdlib/blas/base/dsyr2/include.gypi new file mode 100644 index 000000000000..4217944b5d20 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/include.gypi @@ -0,0 +1,70 @@ +# @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. + +# A GYP include file for building a Node.js native add-on. +# +# Note that nesting variables is required due to how GYP processes a configuration. Any variables defined within a nested 'variables' section is defined in the outer scope. Thus, conditions in the outer variable scope are free to use these variables without running into "variable undefined" errors. +# +# Main documentation: +# +# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md +# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md +# +# Variable nesting hacks: +# +# [3]: https://chromium.googlesource.com/external/skia/gyp/+/master/common_variables.gypi +# [4]: https://src.chromium.org/viewvc/chrome/trunk/src/build/common.gypi?revision=127004 +{ + # Define variables to be used throughout the configuration for all targets: + 'variables': { + 'variables': { + # Host BLAS library (to override -Dblas=): + 'blas%': '', + + # Path to BLAS library (to override -Dblas_dir=): + 'blas_dir%': '', + }, # end variables + + # Source directory: + 'src_dir': './src', + + # Include directories: + 'include_dirs': [ + '<@(blas_dir)', + ' [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 ); -* // A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] */ function dsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params var tmp1; @@ -66,7 +66,7 @@ function dsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, str var sa1; var i0; var i1; - var oa; + var ia; var ox; var oy; @@ -92,13 +92,14 @@ function dsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, str if ( ( x[ ix1 ] !== 0.0 ) || ( y[ iy1 ] !== 0.0 ) ) { tmp1 = alpha * y[ iy1 ]; tmp2 = alpha * x[ ix1 ]; - oa = offsetA + (sa1*i1); + ia = offsetA + ( sa1*i1 ); ix0 = ox; iy0 = oy; for ( i0 = 0; i0 <= i1; i0++ ) { - A[ oa+(sa0*i0) ] += ( x[ ix0 ] * tmp1 ) + ( y[ iy0 ] * tmp2 ); // eslint-disable-line max-len + A[ ia ] += ( x[ ix0 ] * tmp1 ) + ( y[ iy0 ] * tmp2 ); ix0 += strideX; iy0 += strideY; + ia += sa0; } } ix1 += strideX; @@ -111,13 +112,14 @@ function dsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, str if ( ( x[ ix1 ] !== 0.0 ) || ( y[ iy1 ] !== 0.0 ) ) { tmp1 = alpha * y[ iy1 ]; tmp2 = alpha * x[ ix1 ]; - oa = offsetA + (sa1*i1); + ia = offsetA + ( sa1*i1 ) + ( sa0*i1 ); ix0 = ix1; iy0 = iy1; for ( i0 = i1; i0 < N; i0++ ) { - A[ oa+(sa0*i0) ] += ( x[ ix0 ] * tmp1 ) + ( y[ iy0 ] * tmp2 ); + A[ ia ] += ( x[ ix0 ] * tmp1 ) + ( y[ iy0 ] * tmp2 ); ix0 += strideX; iy0 += strideY; + ia += sa0; } } ix1 += strideX; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/dsyr2.js b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/dsyr2.js index 8921f2922059..67082192f95d 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/dsyr2.js +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/dsyr2.js @@ -20,11 +20,11 @@ // MODULES // -var max = require( '@stdlib/math/base/special/fast/max' ); +var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' ); var isLayout = require( '@stdlib/blas/base/assert/is-layout' ); var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' ); -var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' ); var stride2offset = require( '@stdlib/strided/base/stride2offset' ); +var max = require( '@stdlib/math/base/special/fast/max' ); var format = require( '@stdlib/string/format' ); var base = require( './base.js' ); @@ -37,7 +37,7 @@ var base = require( './base.js' ); * @param {string} order - storage layout * @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced * @param {NonNegativeInteger} N - number of elements along each dimension of `A` -* @param {number} alpha - scalar +* @param {number} alpha - scalar constant * @param {Float64Array} x - first input vector * @param {integer} strideX - `x` stride length * @param {Float64Array} y - second input vector @@ -48,18 +48,19 @@ var base = require( './base.js' ); * @throws {TypeError} second argument must specify whether to reference the lower or upper triangular matrix * @throws {RangeError} third argument must be a nonnegative integer * @throws {RangeError} sixth argument must be non-zero -* @throws {RangeError} eighth argument must be greater than or equal to max(1,N) +* @throws {RangeError} eighth argument must be non-zero +* @throws {RangeError} tenth argument must be a valid stride * @returns {Float64Array} `A` * * @example * var Float64Array = require( '@stdlib/array/float64' ); * -* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); -* // A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] */ function dsyr2( order, uplo, N, alpha, x, strideX, y, strideY, A, LDA ) { var sa1; @@ -85,6 +86,7 @@ function dsyr2( order, uplo, N, alpha, x, strideX, y, strideY, A, LDA ) { if ( LDA < max( 1, N ) ) { throw new RangeError( format( 'invalid argument. Tenth argument must be greater than or equal to max(1,%d). Value: `%d`.', N, LDA ) ); } + // Check if we can early return... if ( N === 0 || alpha === 0.0 ) { return A; } diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/dsyr2.native.js b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/dsyr2.native.js new file mode 100644 index 000000000000..0909b4f44b03 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/dsyr2.native.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 isLayout = require( '@stdlib/blas/base/assert/is-layout' ); +var isMatrixTriangle = require( '@stdlib/blas/base/assert/is-matrix-triangle' ); +var resolveOrder = require( '@stdlib/blas/base/layout-resolve-enum' ); +var resolveUplo = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' ); +var max = require( '@stdlib/math/base/special/fast/max' ); +var format = require( '@stdlib/string/format' ); +var addon = require( './../src/addon.node' ); + + +// MAIN // + +/** +* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix. +* +* @param {string} order - storage layout +* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced +* @param {NonNegativeInteger} N - number of elements along each dimension of `A` +* @param {number} alpha - scalar constant +* @param {Float64Array} x - first input vector +* @param {integer} strideX - `x` stride length +* @param {Float64Array} y - second input vector +* @param {integer} strideY - `y` stride length +* @param {Float64Array} A - input matrix +* @param {integer} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`) +* @throws {TypeError} first argument must be a valid order +* @throws {TypeError} second argument must specify whether to reference the lower or upper triangular matrix +* @throws {RangeError} third argument must be a nonnegative integer +* @throws {RangeError} sixth argument must be non-zero +* @throws {RangeError} eighth argument must be non-zero +* @throws {RangeError} tenth argument must be a valid stride +* @returns {Float64Array} `A` +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] +* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); +* var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); +* +* dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] +*/ +function dsyr2( order, uplo, N, alpha, x, strideX, y, strideY, A, LDA ) { + 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 to reference the lower or upper triangular matrix. Value: `%s`.', uplo ) ); + } + if ( N < 0 ) { + throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) ); + } + if ( strideX === 0 ) { + throw new RangeError( format( 'invalid argument. Sixth argument must be non-zero. Value: `%d`.', strideX ) ); + } + if ( strideY === 0 ) { + throw new RangeError( format( 'invalid argument. Eighth argument must be non-zero. Value: `%d`.', strideX ) ); + } + if ( LDA < max( 1, N ) ) { + throw new RangeError( format( 'invalid argument. Tenth argument must be greater than or equal to max(1,%d). Value: `%d`.', N, LDA ) ); + } + // Check if we can early return... + if ( N === 0 || alpha === 0.0 ) { + return A; + } + addon( resolveOrder( order ), resolveUplo( uplo ), N, alpha, x, strideX, y, strideY, A, LDA ); // eslint-disable-line max-len + return A; +} + + +// EXPORTS // + +module.exports = dsyr2; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/index.js b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/index.js index 9fe8f4c79320..5b59606fed84 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/index.js +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/index.js @@ -27,23 +27,23 @@ * var Float64Array = require( '@stdlib/array/float64' ); * var dsyr2 = require( '@stdlib/blas/base/dsyr2' ); * -* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2( 'row-major', 'upper', 3, 1.0, x, 1, y, 1, A, 3 ); -* // A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] * * @example * var Float64Array = require( '@stdlib/array/float64' ); * var dsyr2 = require( '@stdlib/blas/base/dsyr2' ); * -* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2.ndarray( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 ); -* // A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] */ // MODULES // diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/native.js b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/native.js new file mode 100644 index 000000000000..eba705c8948d --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/native.js @@ -0,0 +1,35 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' ); +var dsyr2 = require( './dsyr2.native.js' ); +var ndarray = require( './ndarray.native.js' ); + + +// MAIN // + +setReadOnly( dsyr2, 'ndarray', ndarray ); + + +// EXPORTS // + +module.exports = dsyr2; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/ndarray.js b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/ndarray.js index c25ad46f8fb7..fef831f9c081 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/ndarray.js +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/ndarray.js @@ -32,7 +32,7 @@ var base = require( './base.js' ); * * @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced * @param {NonNegativeInteger} N - number of elements along each dimension of `A` -* @param {number} alpha - scalar +* @param {number} alpha - scalar constant * @param {Float64Array} x - first input vector * @param {integer} strideX - `x` stride length * @param {NonNegativeInteger} offsetX - starting index for `x` @@ -54,12 +54,12 @@ var base = require( './base.js' ); * @example * var Float64Array = require( '@stdlib/array/float64' ); * -* var A = new Float64Array( [ 1.0, 2.0, 3.0, 0.0, 1.0, 2.0, 0.0, 0.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] * var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); * * dsyr2( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 ); -* // A => [ 3.0, 6.0, 9.0, 0.0, 9.0, 14.0, 0.0, 0.0, 19.0 ] +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] */ function dsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params if ( !isMatrixTriangle( uplo ) ) { @@ -80,6 +80,7 @@ function dsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, str if ( strideA2 === 0 ) { throw new RangeError( format( 'invalid argument. Twelfth argument must be non-zero. Value: `%d`.', strideA2 ) ); } + // Check if we can early return... if ( N === 0 || alpha === 0.0 ) { return A; } diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/lib/ndarray.native.js b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/ndarray.native.js new file mode 100644 index 000000000000..eaed2eb08069 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/lib/ndarray.native.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 resolveUplo = require( '@stdlib/blas/base/matrix-triangle-resolve-enum' ); +var format = require( '@stdlib/string/format' ); +var addon = require( './../src/addon.node' ); + + +// MAIN // + +/** +* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix. +* +* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced +* @param {NonNegativeInteger} N - number of elements along each dimension of `A` +* @param {number} alpha - scalar constant +* @param {Float64Array} x - first input vector +* @param {integer} strideX - `x` stride length +* @param {NonNegativeInteger} offsetX - starting index for `x` +* @param {Float64Array} y - second input vector +* @param {integer} strideY - `y` stride length +* @param {NonNegativeInteger} offsetY - starting index for `y` +* @param {Float64Array} A - input 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` +* @throws {TypeError} first argument must specify whether to reference the lower or upper triangular matrix +* @throws {RangeError} second argument must be a nonnegative integer +* @throws {RangeError} fifth argument must be non-zero +* @throws {RangeError} eighth argument must be non-zero +* @throws {RangeError} eleventh argument must be non-zero +* @throws {RangeError} twelfth argument must be non-zero +* @returns {Float64Array} `A` +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var A = new Float64Array( [ 1.0, 2.0, 3.0, 2.0, 1.0, 2.0, 3.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 2.0, 1.0, 2.0 ], [ 3.0, 2.0, 1.0 ] ] +* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); +* var y = new Float64Array( [ 1.0, 2.0, 3.0 ] ); +* +* dsyr2( 'upper', 3, 1.0, x, 1, 0, y, 1, 0, A, 3, 1, 0 ); +* // A => [ 3.0, 6.0, 9.0, 2.0, 9.0, 14.0, 3.0, 2.0, 19.0 ] +*/ +function dsyr2( uplo, N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ) { // eslint-disable-line max-len, max-params + if ( !isMatrixTriangle( uplo ) ) { + throw new TypeError( format( 'invalid argument. First argument must specify whether the reference the lower or upper triangular matrix. Value: `%s`.', uplo ) ); + } + if ( N < 0 ) { + throw new RangeError( format( 'invalid argument. Second argument must be a nonnegative integer. Value: `%d`.', N ) ); + } + if ( strideX === 0 ) { + throw new RangeError( format( 'invalid argument. Fifth argument must be non-zero. Value: `%d`.', strideX ) ); + } + if ( strideY === 0 ) { + throw new RangeError( format( 'invalid argument. Eighth argument must be non-zero. Value: `%d`.', strideY ) ); + } + if ( strideA1 === 0 ) { + throw new RangeError( format( 'invalid argument. Eleventh argument must be non-zero. Value: `%d`.', strideA1 ) ); + } + if ( strideA2 === 0 ) { + throw new RangeError( format( 'invalid argument. Twelfth argument must be non-zero. Value: `%d`.', strideA2 ) ); + } + // Check if we can early return... + if ( N === 0 || alpha === 0.0 ) { + return A; + } + addon.ndarray( resolveUplo( uplo ), N, alpha, x, strideX, offsetX, y, strideY, offsetY, A, strideA1, strideA2, offsetA ); // eslint-disable-line max-len + return A; +} + + +// EXPORTS // + +module.exports = dsyr2; diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/manifest.json b/lib/node_modules/@stdlib/blas/base/dsyr2/manifest.json new file mode 100644 index 000000000000..e439a390a64c --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/manifest.json @@ -0,0 +1,509 @@ +{ + "options": { + "task": "build", + "os": "linux", + "blas": "", + "wasm": false + }, + "fields": [ + { + "field": "src", + "resolve": true, + "relative": true + }, + { + "field": "include", + "resolve": true, + "relative": true + }, + { + "field": "libraries", + "resolve": false, + "relative": false + }, + { + "field": "libpath", + "resolve": true, + "relative": false + } + ], + 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"build", + "os": "mac", + "blas": "", + "wasm": false, + "src": [ + "./src/dsyr2.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array", + "@stdlib/napi/argv-strided-float64array2d" + ] + }, + { + "task": "benchmark", + "os": "mac", + "blas": "", + "wasm": false, + "src": [ + "./src/dsyr2.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "mac", + "blas": "", + "wasm": false, + "src": [ + "./src/dsyr2.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major" + ] + }, + + { + "task": "build", + "os": "mac", + "blas": "apple_accelerate_framework", + "wasm": false, + "src": [ + "./src/dsyr2_cblas.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lblas" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array", + "@stdlib/napi/argv-strided-float64array2d" + ] + }, + { + "task": "benchmark", + "os": "mac", + "blas": "apple_accelerate_framework", + "wasm": false, + "src": [ + "./src/dsyr2_cblas.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lblas" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "mac", + "blas": "apple_accelerate_framework", + "wasm": false, + "src": [ + "./src/dsyr2_cblas.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lblas" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major" + ] + }, + + { + "task": "build", + "os": "mac", + "blas": "openblas", + "wasm": false, + "src": [ + "./src/dsyr2_cblas.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lopenblas", + "-lpthread" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array", + "@stdlib/napi/argv-strided-float64array2d" + ] + }, + { + "task": "benchmark", + "os": "mac", + "blas": "openblas", + "wasm": false, + "src": [ + "./src/dsyr2_cblas.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lopenblas", + "-lpthread" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "mac", + "blas": "openblas", + "wasm": false, + "src": [ + "./src/dsyr2_cblas.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lopenblas", + "-lpthread" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major" + ] + }, + + { + "task": "build", + "os": "win", + "blas": "", + "wasm": false, + "src": [ + "./src/dsyr2.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array", + "@stdlib/napi/argv-strided-float64array2d" + ] + }, + { + "task": "benchmark", + "os": "win", + "blas": "", + "wasm": false, + "src": [ + "./src/dsyr2.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "win", + "blas": "", + "wasm": false, + "src": [ + "./src/dsyr2.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major" + ] + }, + + { + "task": "build", + "os": "", + "blas": "", + "wasm": true, + "src": [ + "./src/dsyr2.c", + "./src/dsyr2_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/base/xerbla", + "@stdlib/strided/base/stride2offset", + "@stdlib/ndarray/base/assert/is-row-major" + ] + } + ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/package.json b/lib/node_modules/@stdlib/blas/base/dsyr2/package.json index a98704dd8ba8..cebe22452ed2 100644 --- a/lib/node_modules/@stdlib/blas/base/dsyr2/package.json +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/package.json @@ -14,11 +14,14 @@ } ], "main": "./lib", + "gypfile": true, "directories": { "benchmark": "./benchmark", "doc": "./docs", "example": "./examples", + "include": "./include", "lib": "./lib", + "src": "./src", "test": "./test" }, "types": "./docs/types", diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/src/Makefile b/lib/node_modules/@stdlib/blas/base/dsyr2/src/Makefile new file mode 100644 index 000000000000..7733b6180cb4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/src/Makefile @@ -0,0 +1,70 @@ +#/ +# @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. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + + +# RULES # + +#/ +# Removes generated files for building an add-on. +# +# @example +# make clean-addon +#/ +clean-addon: + $(QUIET) -rm -f *.o *.node + +.PHONY: clean-addon + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: clean-addon + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/src/addon.c b/lib/node_modules/@stdlib/blas/base/dsyr2/src/addon.c new file mode 100644 index 000000000000..f3ace4ab9ea2 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/src/addon.c @@ -0,0 +1,101 @@ +/** +* @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. +*/ + +#include "stdlib/blas/base/dsyr2.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/napi/export.h" +#include "stdlib/napi/argv.h" +#include "stdlib/napi/argv_int64.h" +#include "stdlib/napi/argv_int32.h" +#include "stdlib/napi/argv_double.h" +#include "stdlib/napi/argv_strided_float64array.h" +#include "stdlib/napi/argv_strided_float64array2d.h" +#include + +/** +* Receives JavaScript callback invocation data. +* +* @param env environment under which the function is invoked +* @param info callback data +* @return Node-API value +*/ +static napi_value addon( napi_env env, napi_callback_info info ) { + CBLAS_INT sa1; + CBLAS_INT sa2; + + STDLIB_NAPI_ARGV( env, info, argv, argc, 10 ); + + STDLIB_NAPI_ARGV_INT32( env, layout, argv, 0 ); + STDLIB_NAPI_ARGV_INT32( env, uplo, argv, 1 ); + + STDLIB_NAPI_ARGV_INT64( env, N, argv, 2 ); + STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 5 ); + STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 7 ); + STDLIB_NAPI_ARGV_INT64( env, LDA, argv, 9 ); + + STDLIB_NAPI_ARGV_DOUBLE( env, alpha, argv, 3 ); + + if ( layout == CblasColMajor ) { + sa1 = 1; + sa2 = LDA; + } else { // layout === CblasRowMajor + sa1 = LDA; + sa2 = 1; + } + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 4 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 6 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY2D( env, A, N, N, sa1, sa2, argv, 8 ); + + API_SUFFIX(c_dsyr2)( layout, uplo, N, alpha, X, strideX, Y, strideY, A, LDA ); + + return NULL; +} + +/** +* Receives JavaScript callback invocation data. +* +* @param env environment under which the function is invoked +* @param info callback data +* @return Node-API value +*/ +static napi_value addon_method( napi_env env, napi_callback_info info ) { + STDLIB_NAPI_ARGV( env, info, argv, argc, 13 ); + + STDLIB_NAPI_ARGV_INT32( env, uplo, argv, 0 ); + + STDLIB_NAPI_ARGV_INT64( env, N, argv, 1 ); + STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 4 ); + STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 5 ); + STDLIB_NAPI_ARGV_INT64( env, strideY, argv, 7 ); + STDLIB_NAPI_ARGV_INT64( env, offsetY, argv, 8 ); + STDLIB_NAPI_ARGV_INT64( env, strideA1, argv, 10 ); + STDLIB_NAPI_ARGV_INT64( env, strideA2, argv, 11 ); + STDLIB_NAPI_ARGV_INT64( env, offsetA, argv, 12 ); + + STDLIB_NAPI_ARGV_DOUBLE( env, alpha, argv, 2 ); + + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 3 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, Y, N, strideY, argv, 6 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY2D( env, A, N, N, strideA1, strideA2, argv, 9 ); + + API_SUFFIX(c_dsyr2_ndarray)( uplo, N, alpha, X, strideX, offsetX, Y, strideY, offsetY, A, strideA1, strideA2, offsetA ); + + return NULL; +} + +STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method ) diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2.c b/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2.c new file mode 100644 index 000000000000..d7f9e2a7b659 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2.c @@ -0,0 +1,91 @@ +/** +* @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. +*/ + +#include "stdlib/blas/base/dsyr2.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/blas/base/xerbla.h" +#include "stdlib/strided/base/stride2offset.h" + +/** +* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix. +* +* @param layout storage layout +* @param uplo specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced +* @param N number of elements along each dimension of `A` +* @param alpha scalar constant +* @param X first input vector +* @param strideX `X` stride length +* @param Y second input vector +* @param strideY `Y` stride length +* @param A input matrix +* @param LDA stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`) +*/ +void API_SUFFIX(c_dsyr2)( const CBLAS_LAYOUT layout, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY, double *A, const CBLAS_INT LDA ) { + CBLAS_INT vala; + CBLAS_INT sa1; + CBLAS_INT sa2; + CBLAS_INT ox; + CBLAS_INT oy; + + // Perform input argument validation... + if ( layout != CblasRowMajor && layout != CblasColMajor ) { + c_xerbla( 1, "c_dsyr2", "Error: invalid argument. First argument must be a valid layout. Value: `%d`.", layout ); + return; + } + if ( uplo != CblasLower && uplo != CblasUpper ) { + c_xerbla( 2, "c_dsyr2", "Error: invalid argument. Second argument must specify whether to reference the lower or upper triangular matrix. Value: `%d`.", uplo ); + return; + } + if ( N < 0 ) { + c_xerbla( 3, "c_dsyr2", "Error: invalid argument. Third argument must be a nonnegative integer. Value: `%d`.", N ); + return; + } + if ( strideX == 0 ) { + c_xerbla( 6, "c_dsyr2", "Error: invalid argument. Sixth argument must be nonzero. Value: `%d`.", strideX ); + return; + } + if ( strideY == 0 ) { + c_xerbla( 8, "c_dsyr2", "Error: invalid argument. Eighth argument must be nonzero. Value: `%d`.", strideX ); + return; + } + // max(1, N) + if ( N < 1 ) { + vala = 1; + } else { + vala = N; + } + if ( LDA < vala ) { + c_xerbla( 10, "c_dsyr2", "Error: invalid argument. Tenth argument must be greater than or equal to max(1,%d). Value: `%d`.", vala, LDA ); + return; + } + // Check whether we can avoid computation altogether... + if ( N == 0 || alpha == 0.0 ) { + return; + } + if ( layout == CblasColMajor ) { + sa1 = 1; + sa2 = LDA; + } else { // layout === CblasRowMajor + sa1 = LDA; + sa2 = 1; + } + ox = stdlib_strided_stride2offset( N, strideX ); + oy = stdlib_strided_stride2offset( N, strideY ); + API_SUFFIX(c_dsyr2_ndarray)( uplo, N, alpha, X, strideX, ox, Y, strideY, oy, A, sa1, sa2, 0 ); + return; +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2_cblas.c b/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2_cblas.c new file mode 100644 index 000000000000..fbbdc5edf56b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2_cblas.c @@ -0,0 +1,39 @@ +/** +* @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. +*/ + +#include "stdlib/blas/base/dsyr2.h" +#include "stdlib/blas/base/dsyr2_cblas.h" +#include "stdlib/blas/base/shared.h" + +/** +* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix. +* +* @param layout storage layout +* @param uplo specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced +* @param N number of elements along each dimension of `A` +* @param alpha scalar constant +* @param x first input vector +* @param strideX `X` stride length +* @param y second input vector +* @param strideY `Y` stride length +* @param A input matrix +* @param LDA stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`) +*/ +void API_SUFFIX(c_dsyr2)( const CBLAS_LAYOUT layout, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, const double *Y, const CBLAS_INT strideY, double *A, const CBLAS_INT LDA ) { + API_SUFFIX(cblas_dsyr2)( layout, uplo, N, alpha, X, strideX, Y, strideY, A, LDA ); +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2_ndarray.c b/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2_ndarray.c new file mode 100644 index 000000000000..8de38edab45d --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/src/dsyr2_ndarray.c @@ -0,0 +1,148 @@ +/** +* @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. +*/ + +#include "stdlib/blas/base/dsyr2.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/blas/base/xerbla.h" +#include "stdlib/ndarray/base/assert/is_row_major.h" + +/** +* Performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A`, using alternative indexing semantics and where `α` is a scalar, `x` and `y` are `N` element vectors, and `A` is an `N` by `N` symmetric matrix. +* +* @param uplo specifies whether the upper or lower triangular part of the symmetric matrix `A` should be referenced +* @param N number of elements along each dimension of `A` +* @param alpha scalar constant +* @param X first input vector +* @param strideX `X` stride length +* @param offsetX starting index of `X` +* @param Y second input vector +* @param strideY `Y` stride length +* @param offsetY starting index of `Y` +* @param A input matrix +* @param strideA1 stride of the first dimension of `A` +* @param strideA2 stride of the second dimension of `A` +* @param offsetA starting index of `A` +*/ +void API_SUFFIX(c_dsyr2_ndarray)( const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const double *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY, double *A, const CBLAS_INT strideA1, const CBLAS_INT strideA2, const CBLAS_INT offsetA ) { + int64_t sa[ 2 ]; + CBLAS_INT isrm; + CBLAS_INT ix0; + CBLAS_INT ix1; + CBLAS_INT iy0; + CBLAS_INT iy1; + CBLAS_INT sa0; + CBLAS_INT sa1; + CBLAS_INT i0; + CBLAS_INT i1; + CBLAS_INT ia; + CBLAS_INT ox; + CBLAS_INT oy; + double tmp1; + double tmp2; + + // Note on variable naming convention: S#, ix#, iy#, i# where # corresponds to the loop number, with `0` being the innermost loop... + + // Perform input argument validation... + if ( uplo != CblasLower && uplo != CblasUpper ) { + c_xerbla( 1, "c_dsyr2_ndarray", "Error: invalid argument. First argument must specify whether to reference the lower or upper triangular matrix. Value: `%d`.", uplo ); + return; + } + if ( N < 0 ) { + c_xerbla( 2, "c_dsyr2_ndarray", "Error: invalid argument. Second argument must be a nonnegative integer. Value: `%d`.", N ); + return; + } + if ( strideX == 0 ) { + c_xerbla( 5, "c_dsyr2_ndarray", "Error: invalid argument. Fifth argument must be nonzero. Value: `%d`.", strideX ); + return; + } + if ( strideY == 0 ) { + c_xerbla( 8, "c_dsyr2_ndarray", "Error: invalid argument. Eighth argument must be nonzero. Value: `%d`.", strideY ); + return; + } + if ( strideA1 == 0 ) { + c_xerbla( 11, "c_dsyr2_ndarray", "Error: invalid argument. Eleventh argument must be nonzero. Value: `%d`.", strideA1 ); + return; + } + if ( strideA2 == 0 ) { + c_xerbla( 12, "c_dsyr2_ndarray", "Error: invalid argument. Twelfth argument must be nonzero. Value: `%d`.", strideA2 ); + return; + } + // Check whether we can avoid computation altogether... + if ( N == 0 || alpha == 0.0 ) { + return; + } + // Extract loop variables for purposes of loop interchange: dimensions and loop offset (pointer) increments... + sa[ 0 ] = strideA1; + sa[ 1 ] = strideA2; + isrm = stdlib_ndarray_is_row_major( 2, sa ); + if ( isrm ) { + // For row-major matrices, the last dimension has the fastest changing index... + sa0 = strideA2; // stride for innermost loop + sa1 = strideA1; // stride for outermost loop + } else { // isColMajor + // For column-major matrices, the first dimension has the fastest changing index... + sa0 = strideA1; // stride for innermost loop + sa1 = strideA2; // stride for outermost loop + } + ox = offsetX; + oy = offsetY; + ix1 = ox; + iy1 = oy; + if ( + ( isrm && uplo == CblasLower ) || + ( !isrm && uplo == CblasUpper ) + ) { + for ( i1 = 0; i1 < N; i1++ ) { + if ( ( X[ ix1 ] != 0.0 ) || ( Y[ iy1 ] != 0.0 ) ) { + tmp1 = alpha * Y[ iy1 ]; + tmp2 = alpha * X[ ix1 ]; + ia = offsetA + ( sa1*i1 ); + ix0 = ox; + iy0 = oy; + for ( i0 = 0; i0 <= i1; i0++ ) { + A[ ia ] += ( X[ ix0 ] * tmp1 ) + ( Y[ iy0 ] * tmp2 ); + ix0 += strideX; + iy0 += strideY; + ia += sa0; + } + } + ix1 += strideX; + iy1 += strideY; + } + return; + } + // ( isrm && uplo == CblasUpper ) || ( !isrm && uplo == CblasLower ) + for ( i1 = 0; i1 < N; i1++ ) { + if ( ( X[ ix1 ] != 0.0 ) || ( Y[ iy1 ] != 0.0 ) ) { + tmp1 = alpha * Y[ iy1 ]; + tmp2 = alpha * X[ ix1 ]; + ia = offsetA + ( sa1*i1 ) + ( sa0*i1 ); + ix0 = ix1; + iy0 = iy1; + for ( i0 = i1; i0 < N; i0++ ) { + A[ ia ] += ( X[ ix0 ] * tmp1 ) + ( Y[ iy0 ] * tmp2 ); + ix0 += strideX; + iy0 += strideY; + ia += sa0; + } + } + ix1 += strideX; + iy1 += strideY; + } + return; +} diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/test/test.dsyr2.native.js b/lib/node_modules/@stdlib/blas/base/dsyr2/test/test.dsyr2.native.js new file mode 100644 index 000000000000..22584d231bb1 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/test/test.dsyr2.native.js @@ -0,0 +1,615 @@ +/** +* @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 resolve = require( 'path' ).resolve; +var tape = require( 'tape' ); +var Float64Array = require( '@stdlib/array/float64' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// FIXTURES // + +var ru = require( './fixtures/row_major_u.json' ); +var rl = require( './fixtures/row_major_l.json' ); +var rx0 = require( './fixtures/row_major_x0.json' ); +var rxpyp = require( './fixtures/row_major_xpyp.json' ); +var rxnyp = require( './fixtures/row_major_xnyp.json' ); +var rxpyn = require( './fixtures/row_major_xpyn.json' ); +var rxnyn = require( './fixtures/row_major_xnyn.json' ); + +var cu = require( './fixtures/column_major_u.json' ); +var cl = require( './fixtures/column_major_l.json' ); +var cx0 = require( './fixtures/column_major_x0.json' ); +var cxpyp = require( './fixtures/column_major_xpyp.json' ); +var cxnyp = require( './fixtures/column_major_xnyp.json' ); +var cxpyn = require( './fixtures/column_major_xpyn.json' ); +var cxnyn = require( './fixtures/column_major_xnyn.json' ); + + +// VARIABLES // + +var dsyr2 = tryRequire( resolve( __dirname, './../lib/dsyr2.native.js' ) ); +var opts = { + 'skip': ( dsyr2 instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dsyr2, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 10', opts, function test( t ) { + t.strictEqual( dsyr2.length, 10, 'returns expected value' ); + t.end(); +}); + +tape( 'the function throws an error if provided an invalid first argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( value, data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, new Float64Array( data.y ), data.strideY, new Float64Array( data.A ), data.lda ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid second argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.order, value, data.N, data.alpha, new Float64Array( data.x ), data.strideX, new Float64Array( data.y ), data.strideY, new Float64Array( data.A ), data.lda ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid third argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.order, data.uplo, value, data.alpha, new Float64Array( data.x ), data.strideX, new Float64Array( data.y ), data.strideY, new Float64Array( data.A ), data.lda ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid sixth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.order, data.uplo, data.N, data.alpha, new Float64Array( data.x ), value, new Float64Array( data.y ), data.strideY, new Float64Array( data.A ), data.lda ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid eighth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.order, data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, new Float64Array( data.y ), value, new Float64Array( data.A ), data.lda ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid tenth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.order, data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, new Float64Array( data.y ), data.strideY, new Float64Array( data.A ), value ); + }; + } +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = ru; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cu; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, zero-vector)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rx0; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, zero-vector)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cx0; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns a reference to the input matrix `A`', opts, function test( t ) { + var data; + var out; + var a; + var x; + var y; + + data = ru; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A ); + + out = dsyr2( data.order, data.uplo, 0, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + out = dsyr2( data.order, data.uplo, data.N, 0.0, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A ); + + out = dsyr2( data.order, data.uplo, 0, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + out = dsyr2( data.order, data.uplo, data.N, 0.0, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying strides (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxpyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying strides (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxpyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `x` stride (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxnyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `x` stride (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxnyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `y` stride (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxpyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `y` stride (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxpyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports complex access patterns (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxnyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports complex access patterns (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxnyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.order, data.uplo, data.N, data.alpha, x, data.strideX, y, data.strideY, a, data.lda ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/base/dsyr2/test/test.ndarray.native.js b/lib/node_modules/@stdlib/blas/base/dsyr2/test/test.ndarray.native.js new file mode 100644 index 000000000000..ef796b3f6105 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dsyr2/test/test.ndarray.native.js @@ -0,0 +1,991 @@ +/** +* @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 resolve = require( 'path' ).resolve; +var tape = require( 'tape' ); +var Float64Array = require( '@stdlib/array/float64' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// FIXTURES // + +var ru = require( './fixtures/row_major_u.json' ); +var rl = require( './fixtures/row_major_l.json' ); +var rx0 = require( './fixtures/row_major_x0.json' ); +var rxpyp = require( './fixtures/row_major_xpyp.json' ); +var rxnyp = require( './fixtures/row_major_xnyp.json' ); +var rxpyn = require( './fixtures/row_major_xpyn.json' ); +var rxnyn = require( './fixtures/row_major_xnyn.json' ); +var roa = require( './fixtures/row_major_oa.json' ); +var rox = require( './fixtures/row_major_ox.json' ); +var roy = require( './fixtures/row_major_oy.json' ); +var rsa1sa2 = require( './fixtures/row_major_sa1_sa2.json' ); +var rsa1nsa2 = require( './fixtures/row_major_sa1n_sa2.json' ); +var rsa1sa2n = require( './fixtures/row_major_sa1_sa2n.json' ); +var rsa1nsa2n = require( './fixtures/row_major_sa1n_sa2n.json' ); +var rcap = require( './fixtures/row_major_complex_access_pattern.json' ); + +var cu = require( './fixtures/column_major_u.json' ); +var cl = require( './fixtures/column_major_l.json' ); +var cx0 = require( './fixtures/column_major_x0.json' ); +var cxpyp = require( './fixtures/column_major_xpyp.json' ); +var cxnyp = require( './fixtures/column_major_xnyp.json' ); +var cxpyn = require( './fixtures/column_major_xpyn.json' ); +var cxnyn = require( './fixtures/column_major_xnyn.json' ); +var coa = require( './fixtures/column_major_oa.json' ); +var cox = require( './fixtures/column_major_ox.json' ); +var coy = require( './fixtures/column_major_oy.json' ); +var csa1sa2 = require( './fixtures/column_major_sa1_sa2.json' ); +var csa1nsa2 = require( './fixtures/column_major_sa1n_sa2.json' ); +var csa1sa2n = require( './fixtures/column_major_sa1_sa2n.json' ); +var csa1nsa2n = require( './fixtures/column_major_sa1n_sa2n.json' ); +var ccap = require( './fixtures/column_major_complex_access_pattern.json' ); + + +// VARIABLES // + +var dsyr2 = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dsyr2 instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dsyr2, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 13', opts, function test( t ) { + t.strictEqual( dsyr2.length, 13, 'returns expected value' ); + t.end(); +}); + +tape( 'the function throws an error if provided an invalid first argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( value, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, new Float64Array( data.y ), data.strideY, data.offsetY, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid second argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.uplo, value, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, new Float64Array( data.y ), data.strideY, data.offsetY, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid fifth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.uplo, data.N, data.alpha, new Float64Array( data.x ), value, data.offsetX, new Float64Array( data.y ), data.strideY, data.offsetY, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid eighth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, new Float64Array( data.y ), value, data.offsetY, new Float64Array( data.A ), data.strideA1, data.strideA2, data.offsetA ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid eleventh argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, new Float64Array( data.y ), data.strideY, data.offsetY, new Float64Array( data.A ), value, data.strideA2, data.offsetA ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid twelfth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = ru; + + 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() { + dsyr2( data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, new Float64Array( data.y ), data.strideY, data.offsetY, new Float64Array( data.A ), data.strideA1, value, data.offsetA ); + }; + } +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = ru; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cu; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (row-major, zero-vector)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rx0; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function performs the symmetric rank 2 operation `A = α*x*y^T + α*y*x^T + A` (column-major, zero-vector)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cx0; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns a reference to the input matrix `A`', opts, function test( t ) { + var data; + var out; + var a; + var x; + var y; + + data = ru; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A ); + + out = dsyr2( data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + out = dsyr2( data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or the scalar constant is zero, the function returns the input matrix `A` unchanged (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cl; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A ); + + out = dsyr2( data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + out = dsyr2( data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( a, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying the strides for the first and the second dimensions of `A` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rsa1sa2; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying the strides for the first and the second dimensions of `A` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = csa1sa2; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, '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` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rsa1nsa2; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, '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` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = csa1nsa2; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, '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` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rsa1sa2n; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, '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` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = csa1sa2n; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports negative strides for `A` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rsa1nsa2n; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports negative strides for `A` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = csa1nsa2n; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `A` offset (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = roa; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `A` offset (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = coa; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying `x` and `y` strides (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxpyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying `x` and `y` strides (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxpyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `x` stride (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxnyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `x` stride (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxnyp; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `y` stride (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxpyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative `y` stride (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxpyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying negative strides for `x` and `y` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rxnyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying negative strides for `x` and `y` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cxnyn; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `x` offset (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rox; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `x` offset (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = cox; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a `y` offset (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = roy; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a `y` offset (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = coy; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports complex access patterns (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = rcap; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports complex access patterns (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var a; + var x; + var y; + + data = ccap; + + a = new Float64Array( data.A ); + x = new Float64Array( data.x ); + y = new Float64Array( data.y ); + + expected = new Float64Array( data.A_out ); + + out = dsyr2( data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, y, data.strideY, data.offsetY, a, data.strideA1, data.strideA2, data.offsetA ); + t.strictEqual( out, a, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +});