diff --git a/lib/node_modules/@stdlib/blas/base/dspr/README.md b/lib/node_modules/@stdlib/blas/base/dspr/README.md index eb930c6c66a8..9f41fae6bbf8 100644 --- a/lib/node_modules/@stdlib/blas/base/dspr/README.md +++ b/lib/node_modules/@stdlib/blas/base/dspr/README.md @@ -51,7 +51,7 @@ The function has the following parameters: - **N**: number of elements along each dimension of `A`. - **α**: scalar constant. - **x**: input [`Float64Array`][mdn-float64array]. -- **sx**: index increment for `x`. +- **sx**: stride length for `x`. - **AP**: packed form of a symmetric matrix `A` stored as a [`Float64Array`][mdn-float64array]. The stride parameters determine how elements in the input arrays are accessed at runtime. For example, to iterate over the elements of `x` in reverse order, @@ -101,7 +101,7 @@ dspr.ndarray( 'row-major', 'lower', 3, 1.0, x, 1, 0, AP, 1, 0 ); The function has the following additional parameters: - **ox**: starting index for `x`. -- **sap**: `AP` stride length. +- **sap**: stride length for `AP`. - **oap**: starting index for `AP`. While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, @@ -183,21 +183,64 @@ console.log( AP ); ### Usage ```c -TODO +#include "stdlib/blas/base/dspr.h" ``` -#### TODO +#### c_dspr( layout, uplo, N, alpha, \*X, sx, \*AP ) -TODO. +Performs the symmetric rank 1 operation `A = α*x*x^T + A` where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. ```c -TODO +#include "stdlib/blas/base/shared.h" + +double AP[] = { 1.0, 2.0, 3.0, 1.0, 2.0, 1.0 }; +const double x[] = { 1.0, 2.0, 3.0 }; + +c_dspr( CblasRowMajor, CblasUpper, 3, 1.0, x, 1, AP ); ``` -TODO +The function accepts the following arguments: + +- **layout**: `[in] CBLAS_LAYOUT` storage layout. +- **uplo**: `[in] CBLAS_UPLO` specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied. +- **N**: `[in] CBLAS_INT` number of elements along each dimension of `A`. +- **alpha**: `[in] double` scalar constant. +- **X**: `[in] double*` input vector. +- **sx**: `[in] CBLAS_INT` stride length for `X`. +- **AP**: `[inout] double*` packed form of a symmetric matrix `A`. + +```c +void c_dspr( const CBLAS_LAYOUT layout, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *x, const CBLAS_INT strideX, double *ap ) +``` + +#### c_dspr_ndarray( layout, uplo, N, alpha, \*X, sx, \*AP, sap, offsetAP ) + +Performs the symmetric rank 1 operation `A = α*x*x^T + A`, using alternative indexing semantics and where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. + +```c +#include "stdlib/blas/base/shared.h" + +double AP[] = { 1.0, 2.0, 3.0, 1.0, 2.0, 1.0 }; +const double x[] = { 1.0, 2.0, 3.0 }; + +c_dspr_ndarray( CblasRowMajor, CblasUpper, 3, 1.0, x, 1, AP, 1, 0 ); +``` + +The function accepts the following arguments: + +- **layout**: `[in] CBLAS_LAYOUT` storage layout. +- **uplo**: `[in] CBLAS_UPLO` specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied. +- **N**: `[in] CBLAS_INT` number of elements along each dimension of `A`. +- **alpha**: `[in] double` scalar constant. +- **X**: `[in] double*` input vector. +- **sx**: `[in] CBLAS_INT` stride length for `X`. +- **ox**: `[in] CBLAS_INT` starting index for `x`. +- **AP**: `[inout] double*` packed form of a symmetric matrix `A`. +- **sap**: `[in] CBLAS_INT` stride length for `AP`. +- **offsetAP**: `[in] CBLAS_INT` starting index for `AP`. ```c -TODO +void c_dspr_ndarray( const CBLAS_LAYOUT layout, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *x, const CBLAS_INT strideX, const CBLAS_INT offsetX, double *ap, const CBLAS_INT strideAP, const CBLAS_INT offsetAP ) ``` @@ -219,7 +262,34 @@ TODO ### Examples ```c -TODO +#include "stdlib/blas/base/dspr.h" +#include "stdlib/blas/base/shared.h" +#include + +int main( void ) { + // Create strided arrays: + double AP[] = { 1.0, 2.0, 3.0, 1.0, 2.0, 1.0 }; + const double x[] = { 1.0, 2.0, 3.0 }; + + // Specify the number of elements along each dimension of `A`: + const int N = 3; + + // Perform the symmetric rank 1 operation `A = α*x*x^T + A`: + c_dspr( CblasRowMajor, CblasUpper, N, 1.0, x, 1, AP ); + + // Print the result: + for ( int i = 0; i < N*(N+1)/2; i++ ) { + printf( "AP[ %i ] = %f\n", i, AP[ i ] ); + } + + // Perform the symmetric rank 1 operation `A = α*x*x^T + A` using alternative indexing semantics: + c_dspr_ndarray( CblasRowMajor, CblasUpper, N, 1.0, x, 1, 0, AP, 1, 0 ); + + // Print the result: + for ( int i = 0; i < N*(N+1)/2; i++ ) { + printf( "AP[ %i ] = %f\n", i, AP[ i ] ); + } +} ``` diff --git a/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.js index b58be056c17f..b0b2e060882a 100644 --- a/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.js @@ -85,9 +85,9 @@ function createBenchmark( N ) { * @private */ function main() { - var len; var min; var max; + var N; var f; var i; @@ -95,9 +95,9 @@ function main() { max = 6; // 10^max for ( i = min; i <= max; i++ ) { - len = floor( pow( pow( 10, i ), 1.0/2.0 ) ); - f = createBenchmark( len ); - bench( pkg+':size='+( len * ( len + 1 ) / 2 ), f ); + N = floor( pow( pow( 10, i ), 1.0/2.0 ) ); + f = createBenchmark( N ); + bench( pkg+':size='+( N * ( N + 1 ) / 2 ), f ); } } diff --git a/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.native.js new file mode 100644 index 000000000000..dae3727e67e0 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.native.js @@ -0,0 +1,109 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dspr = tryRequire( resolve( __dirname, './../lib/dspr.native.js' ) ); +var opts = { + 'skip': ( dspr 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 AP = uniform( N * ( N + 1 ) / 2, -10.0, 10.0, options ); + var x = uniform( N, -10.0, 10.0, options ); + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var z; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + z = dspr( 'row-major', 'upper', N, 1.0, x, 1, AP ); + 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 + 1 ) / 2 ), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.ndarray.js index e551208abd39..bb9887931fc0 100644 --- a/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.ndarray.js +++ b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.ndarray.js @@ -85,9 +85,9 @@ function createBenchmark( N ) { * @private */ function main() { - var len; var min; var max; + var N; var f; var i; @@ -95,9 +95,9 @@ function main() { max = 6; // 10^max for ( i = min; i <= max; i++ ) { - len = floor( pow( pow( 10, i ), 1.0/2.0 ) ); - f = createBenchmark( len ); - bench( pkg+':ndarray:size='+( len * ( len + 1 ) / 2 ), f ); + N = floor( pow( pow( 10, i ), 1.0/2.0 ) ); + f = createBenchmark( N ); + bench( pkg+':ndarray:size='+( N * ( N + 1 ) / 2 ), f ); } } diff --git a/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.ndarray.native.js new file mode 100644 index 000000000000..55366006c6cb --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/benchmark.ndarray.native.js @@ -0,0 +1,109 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var floor = require( '@stdlib/math/base/special/floor' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dspr = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dspr 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 AP = uniform( N * ( N + 1 ) / 2, -10.0, 10.0, options ); + var x = uniform( N, -10.0, 10.0, options ); + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var z; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + z = dspr( 'row-major', 'upper', N, 1.0, x, 1, 0, AP, 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 + 1 ) / 2 ), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/base/dspr/benchmark/c/Makefile b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/c/Makefile new file mode 100644 index 000000000000..cce2c865d7ad --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/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.length.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/dspr/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/c/benchmark.length.c new file mode 100644 index 000000000000..e8a1df133a38 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/benchmark/c/benchmark.length.c @@ -0,0 +1,179 @@ +/** +* @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/dspr.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/blas/ext/base/dfill.h" +#include +#include +#include +#include +#include + +#define NAME "dspr" +#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 AP[ N*(N+1)/2 ]; + double x[ N ]; + double t; + int i; + + stdlib_strided_dfill( N, 1.0, x, 1 ); + stdlib_strided_dfill( N*(N+1)/2, 1.0, AP, 1 ); + t = tic(); + for ( i = 0; i < iterations; i++ ) { + c_dspr( CblasRowMajor, CblasUpper, N, 1.0, x, 1, AP ); + if ( AP[ i%N ] != AP[ i%N ] ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( AP[ i%N ] != AP[ i%N ] ) { + 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 AP[ N*(N+1)/2 ]; + double x[ N ]; + double t; + int i; + + stdlib_strided_dfill( N, 1.0, x, 1 ); + stdlib_strided_dfill( N*(N+1)/2, 1.0, AP, 1 ); + t = tic(); + for ( i = 0; i < iterations; i++ ) { + c_dspr_ndarray( CblasRowMajor, CblasUpper, N, 1.0, x, 1, 0, AP, 1, 0 ); + if ( AP[ i%N ] != AP[ i%N ] ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( AP[ i%N ] != AP[ i%N ] ) { + printf( "should not return NaN\n" ); + } + return elapsed; +} + +/** +* Main execution sequence. +*/ +int main( void ) { + double elapsed; + int count; + int iter; + int N; + int i; + int j; + + // 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:N=%d\n", NAME, 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:N=%d\n", NAME, 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/dspr/binding.gyp b/lib/node_modules/@stdlib/blas/base/dspr/binding.gyp new file mode 100644 index 000000000000..08de71a2020e --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/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/dspr/docs/repl.txt b/lib/node_modules/@stdlib/blas/base/dspr/docs/repl.txt index 7bb0921b6230..f66ec1db43e1 100644 --- a/lib/node_modules/@stdlib/blas/base/dspr/docs/repl.txt +++ b/lib/node_modules/@stdlib/blas/base/dspr/docs/repl.txt @@ -1,5 +1,5 @@ -{{alias}}( ord, uplo, N, α, x, sx, AP ) +{{alias}}( order, uplo, N, α, x, sx, AP ) Performs the symmetric rank 1 operation `A = α*x*x^T + A` where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. @@ -12,7 +12,7 @@ Parameters ---------- - ord: string + order: string Row-major (C-style) or column-major (Fortran-style) order. Must be either 'row-major' or 'column-major'. @@ -48,7 +48,7 @@ [ 2.0, 3.0, 4.0 ] -{{alias}}.ndarray( ord, uplo, N, α, x, sx, ox, AP, sap, oap ) +{{alias}}.ndarray( order, uplo, N, α, x, sx, ox, AP, sap, oap ) Performs the symmetric rank 1 operation `A = α*x*x^T + A` using alternative indexing semantics and where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. @@ -59,7 +59,7 @@ Parameters ---------- - ord: string + order: string Row-major (C-style) or column-major (Fortran-style) order. Must be either 'row-major' or 'column-major'. @@ -100,9 +100,9 @@ -------- > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 1.0 ] ); > var AP = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0 ] ); - > var ord = 'row-major'; + > var order = 'row-major'; > var uplo = 'upper'; - > {{alias}}.ndarray( ord, uplo, 2, 1.0, x, 1, 0, AP, 1, 0 ) + > {{alias}}.ndarray( order, uplo, 2, 1.0, x, 1, 0, AP, 1, 0 ) [ 2.0, 3.0, 4.0 ] See Also diff --git a/lib/node_modules/@stdlib/blas/base/dspr/examples/c/Makefile b/lib/node_modules/@stdlib/blas/base/dspr/examples/c/Makefile new file mode 100644 index 000000000000..25ced822f96a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/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/dspr/examples/c/example.c b/lib/node_modules/@stdlib/blas/base/dspr/examples/c/example.c new file mode 100644 index 000000000000..6e19d8a07630 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/examples/c/example.c @@ -0,0 +1,46 @@ +/** +* @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/dspr.h" +#include "stdlib/blas/base/shared.h" +#include + +int main( void ) { + // Create strided arrays: + double AP[] = { 1.0, 2.0, 3.0, 1.0, 2.0, 1.0 }; + const double x[] = { 1.0, 2.0, 3.0 }; + + // Specify the number of elements along each dimension of `A`: + const int N = 3; + + // Perform the symmetric rank 1 operation `A = α*x*x^T + A`: + c_dspr( CblasRowMajor, CblasUpper, N, 1.0, x, 1, AP ); + + // Print the result: + for ( int i = 0; i < N*(N+1)/2; i++ ) { + printf( "AP[ %i ] = %f\n", i, AP[ i ] ); + } + + // Perform the symmetric rank 1 operation `A = α*x*x^T + A` using alternative indexing semantics: + c_dspr_ndarray( CblasRowMajor, CblasUpper, N, 1.0, x, 1, 0, AP, 1, 0 ); + + // Print the result: + for ( int i = 0; i < N*(N+1)/2; i++ ) { + printf( "AP[ %i ] = %f\n", i, AP[ i ] ); + } +} diff --git a/lib/node_modules/@stdlib/blas/base/dspr/include.gypi b/lib/node_modules/@stdlib/blas/base/dspr/include.gypi new file mode 100644 index 000000000000..4217944b5d20 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/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 x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); +* +* dspr( 'row-major', 'upper', 3, 1.0, x, 1, AP ); +* // AP => [ 2.0, 4.0, 6.0, 5.0, 8.0, 10.0 ] +*/ +function dspr( order, uplo, N, alpha, x, strideX, AP ) { + if ( !isLayout( order ) ) { + throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) ); + } + if ( !isMatrixTriangle( uplo ) ) { + throw new TypeError( format( 'invalid argument. Second argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) ); + } + if ( N < 0 ) { + throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) ); + } + if ( strideX === 0 ) { + throw new RangeError( format( 'invalid argument. Sixth argument must be non-zero. Value: `%d`.', strideX ) ); + } + // Check if we can early return... + if ( N === 0 || alpha === 0.0 ) { + return AP; + } + addon( resolveOrder( order ), resolveUplo( uplo ), N, alpha, x, strideX, AP ); // eslint-disable-line max-len + return AP; +} + + +// EXPORTS // + +module.exports = dspr; diff --git a/lib/node_modules/@stdlib/blas/base/dspr/lib/native.js b/lib/node_modules/@stdlib/blas/base/dspr/lib/native.js new file mode 100644 index 000000000000..708ed13525a2 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/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 dspr = require( './dspr.native.js' ); +var ndarray = require( './ndarray.native.js' ); + + +// MAIN // + +setReadOnly( dspr, 'ndarray', ndarray ); + + +// EXPORTS // + +module.exports = dspr; diff --git a/lib/node_modules/@stdlib/blas/base/dspr/lib/ndarray.js b/lib/node_modules/@stdlib/blas/base/dspr/lib/ndarray.js index c99c99a0e305..a115f2fb8599 100644 --- a/lib/node_modules/@stdlib/blas/base/dspr/lib/ndarray.js +++ b/lib/node_modules/@stdlib/blas/base/dspr/lib/ndarray.js @@ -73,6 +73,7 @@ function dspr( order, uplo, N, alpha, x, strideX, offsetX, AP, strideAP, offsetA if ( strideAP === 0 ) { throw new RangeError( format( 'invalid argument. Ninth argument must be non-zero. Value: `%d`.', strideAP ) ); } + // Check if we can early return... if ( N === 0 || alpha === 0.0 ) { return AP; } diff --git a/lib/node_modules/@stdlib/blas/base/dspr/lib/ndarray.native.js b/lib/node_modules/@stdlib/blas/base/dspr/lib/ndarray.native.js new file mode 100644 index 000000000000..11b1fd4c38c6 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/lib/ndarray.native.js @@ -0,0 +1,86 @@ +/** +* @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 format = require( '@stdlib/string/format' ); +var addon = require( './../src/addon.node' ); + +/** +* Performs the symmetric rank 1 operation `A = α*x*x^T + A` where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. +* +* @param {string} order - storage layout +* @param {string} uplo - specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied +* @param {NonNegativeInteger} N - number of elements along each dimension of `A` +* @param {number} alpha - scalar +* @param {Float64Array} x - input vector +* @param {integer} strideX - `x` stride length +* @param {NonNegativeInteger} offsetX - starting index for `x` +* @param {Float64Array} AP - packed form of a symmetric matrix `A` +* @param {integer} strideAP - `AP` stride length +* @param {NonNegativeInteger} offsetAP - starting index for `AP` +* @throws {TypeError} first argument must be a valid order +* @throws {TypeError} second argument must specify whether the lower or upper triangular matrix is supplied +* @throws {RangeError} third argument must be a nonnegative integer +* @throws {RangeError} sixth argument must be non-zero +* @throws {RangeError} ninth argument must be non-zero +* @returns {Float64Array} `AP` +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var AP = new Float64Array( [ 1.0, 2.0, 3.0, 1.0, 2.0, 1.0 ] ); // => [ [ 1.0, 2.0, 3.0 ], [ 0.0, 1.0, 2.0 ], [ 0.0, 0.0, 1.0 ] ] +* var x = new Float64Array( [ 1.0, 2.0, 3.0 ] ); +* +* dspr( 'row-major', 'upper', 3, 1.0, x, 1, 0, AP, 1, 0 ); +* // AP => [ 2.0, 4.0, 6.0, 5.0, 8.0, 10.0 ] +*/ +function dspr( order, uplo, N, alpha, x, strideX, offsetX, AP, strideAP, offsetAP ) { // eslint-disable-line max-len + if ( !isLayout( order ) ) { + throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) ); + } + if ( !isMatrixTriangle( uplo ) ) { + throw new TypeError( format( 'invalid argument. Second argument must specify whether the lower or upper triangular matrix is supplied. Value: `%s`.', uplo ) ); + } + if ( N < 0 ) { + throw new RangeError( format( 'invalid argument. Third argument must be a nonnegative integer. Value: `%d`.', N ) ); + } + if ( strideX === 0 ) { + throw new RangeError( format( 'invalid argument. Sixth argument must be non-zero. Value: `%d`.', strideX ) ); + } + if ( strideAP === 0 ) { + throw new RangeError( format( 'invalid argument. Ninth argument must be non-zero. Value: `%d`.', strideAP ) ); + } + // Check if we can early return... + if ( N === 0 || alpha === 0.0 ) { + return AP; + } + addon.ndarray( resolveOrder( order ), resolveUplo( uplo ), N, alpha, x, strideX, offsetX, AP, strideAP, offsetAP ); // eslint-disable-line max-len + return AP; +} + + +// EXPORTS // + +module.exports = dspr; diff --git a/lib/node_modules/@stdlib/blas/base/dspr/manifest.json b/lib/node_modules/@stdlib/blas/base/dspr/manifest.json new file mode 100644 index 000000000000..9baf6af51df9 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/manifest.json @@ -0,0 +1,465 @@ +{ + "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 + } + ], + "confs": [ + { + "task": "build", + "os": "linux", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array" + ] + }, + { + "task": "benchmark", + "os": "linux", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "linux", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + 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"@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "linux", + "blas": "openblas", + "wasm": false, + "src": [ + "./src/dspr_cblas.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lopenblas", + "-lpthread" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset" + ] + }, + + { + "task": "build", + "os": "mac", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array" + ] + }, + { + "task": "benchmark", + "os": "mac", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "mac", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset" + ] + }, + + { + "task": "build", + "os": "mac", + "blas": "apple_accelerate_framework", + "wasm": false, + "src": [ + "./src/dspr_cblas.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lblas" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array" + ] + }, + { + "task": "benchmark", + "os": "mac", + "blas": "apple_accelerate_framework", + "wasm": false, + "src": [ + "./src/dspr_cblas.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lblas" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "mac", + "blas": "apple_accelerate_framework", + "wasm": false, + "src": [ + "./src/dspr_cblas.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lblas" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset" + ] + }, + + { + "task": "build", + "os": "mac", + "blas": "openblas", + "wasm": false, + "src": [ + "./src/dspr_cblas.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lopenblas", + "-lpthread" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array" + ] + }, + { + "task": "benchmark", + "os": "mac", + "blas": "openblas", + "wasm": false, + "src": [ + "./src/dspr_cblas.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lopenblas", + "-lpthread" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/blas/ext/base/dfill" + ] + }, + { + "task": "examples", + "os": "mac", + "blas": "openblas", + "wasm": false, + "src": [ + "./src/dspr_cblas.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [ + "-lopenblas", + "-lpthread" + ], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset" + ] + }, + + { + "task": "build", + "os": "win", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64", + "@stdlib/napi/argv-int32", + "@stdlib/napi/argv-double", + "@stdlib/napi/argv-strided-float64array" + ] + }, + { + "task": "benchmark", + "os": "win", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset" + ] + }, + { + "task": "examples", + "os": "win", + "blas": "", + "wasm": false, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset", + "@stdlib/blas/ext/base/dfill" + ] + }, + + { + "task": "build", + "os": "", + "blas": "", + "wasm": true, + "src": [ + "./src/dspr.c", + "./src/dspr_ndarray.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/strided/base/stride2offset" + ] + } + ] +} diff --git a/lib/node_modules/@stdlib/blas/base/dspr/package.json b/lib/node_modules/@stdlib/blas/base/dspr/package.json index e753e0dabcf1..cb2d7caea065 100644 --- a/lib/node_modules/@stdlib/blas/base/dspr/package.json +++ b/lib/node_modules/@stdlib/blas/base/dspr/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/dspr/src/Makefile b/lib/node_modules/@stdlib/blas/base/dspr/src/Makefile new file mode 100644 index 000000000000..7733b6180cb4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/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/dspr/src/addon.c b/lib/node_modules/@stdlib/blas/base/dspr/src/addon.c new file mode 100644 index 000000000000..878832620148 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/src/addon.c @@ -0,0 +1,84 @@ +/** +* @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/dspr.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 + +/** +* 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 ) { + STDLIB_NAPI_ARGV( env, info, argv, argc, 7 ); + + 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_DOUBLE( env, alpha, argv, 3 ); + + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 4 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, AP, N*(N+1)/2, 1, argv, 6 ); + + API_SUFFIX(c_dspr)( layout, uplo, N, alpha, X, strideX, AP ); + + 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, 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, offsetX, argv, 6 ); + STDLIB_NAPI_ARGV_INT64( env, strideAP, argv, 8 ); + STDLIB_NAPI_ARGV_INT64( env, offsetAP, argv, 9 ); + + STDLIB_NAPI_ARGV_DOUBLE( env, alpha, argv, 3 ); + + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 4 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, AP, N*(N+1)/2, strideAP, argv, 7 ); + + API_SUFFIX(c_dspr_ndarray)( layout, uplo, N, alpha, X, strideX, offsetX, AP, strideAP, offsetAP ); + + return NULL; +} + +STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method ) diff --git a/lib/node_modules/@stdlib/blas/base/dspr/src/dspr.c b/lib/node_modules/@stdlib/blas/base/dspr/src/dspr.c new file mode 100644 index 000000000000..dd9f91d38591 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/src/dspr.c @@ -0,0 +1,38 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +#include "stdlib/blas/base/dspr.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/strided/base/stride2offset.h" + +/** +* Performs the symmetric rank 1 operation `A = α*x*x^T + A` where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. +* +* @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 input vector +* @param strideX `X` stride length +* @param AP packed form of a symmetric matrix `A` +*/ +void API_SUFFIX(c_dspr)( const CBLAS_LAYOUT layout, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, double *AP ) { + const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX ); + API_SUFFIX(c_dspr_ndarray)( layout, uplo, N, alpha, X, strideX, ox, AP, 1, 0 ); + return; +} diff --git a/lib/node_modules/@stdlib/blas/base/dspr/src/dspr_cblas.c b/lib/node_modules/@stdlib/blas/base/dspr/src/dspr_cblas.c new file mode 100644 index 000000000000..402aea873c61 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/src/dspr_cblas.c @@ -0,0 +1,36 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2025 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +#include "stdlib/blas/base/dspr.h" +#include "stdlib/blas/base/dspr_cblas.h" +#include "stdlib/blas/base/shared.h" + +/** +* Performs the symmetric rank 1 operation `A = α*x*x^T + A` where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. +* +* @param layout storage layout +* @param uplo specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied +* @param N number of elements along each dimension of `A` +* @param alpha scalar constant +* @param X input vector +* @param strideX `x` stride length +* @param AP packed form of a symmetric matrix `A` +*/ +void API_SUFFIX(c_dspr)( const CBLAS_LAYOUT layout, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, double *AP ) { + API_SUFFIX(cblas_dspr)( layout, uplo, N, alpha, X, strideX, AP ); +} diff --git a/lib/node_modules/@stdlib/blas/base/dspr/src/dspr_ndarray.c b/lib/node_modules/@stdlib/blas/base/dspr/src/dspr_ndarray.c new file mode 100644 index 000000000000..802dc8fb75ba --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/src/dspr_ndarray.c @@ -0,0 +1,88 @@ +/** +* @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/dspr.h" +#include "stdlib/blas/base/shared.h" + +/** +* Performs the symmetric rank 1 operation `A = α*x*x^T + A`, using alternative indexing semantics and where `α` is a scalar, `x` is an `N` element vector, and `A` is an `N` by `N` symmetric matrix supplied in packed form. +* +* @param uplo specifies whether the upper or lower triangular part of the symmetric matrix `A` is supplied +* @param N number of elements along each dimension of `A` +* @param alpha scalar constant +* @param X input vector +* @param strideX `X` stride length +* @param offsetX starting index of `x` +* @param AP packed form of a symmetric matrix `A` +* @param strideAP stride of the first dimension of `AP` +* @param offsetAP starting index of `AP` +*/ +void API_SUFFIX(c_dspr_ndarray)( const CBLAS_LAYOUT layout, const CBLAS_UPLO uplo, const CBLAS_INT N, const double alpha, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, double *AP, const CBLAS_INT strideAP, const CBLAS_INT offsetAP ) { + CBLAS_INT iap; + CBLAS_INT ix0; + CBLAS_INT ix1; + CBLAS_INT i0; + CBLAS_INT i1; + CBLAS_INT kk; + CBLAS_INT ox; + double tmp; + + if ( N == 0 || alpha == 0.0 ) { + return; + } + ox = offsetX; + kk = offsetAP; + if ( + ( layout == CblasRowMajor && uplo == CblasLower ) || + ( layout == CblasColMajor && uplo == CblasUpper ) + ) { + ix1 = ox; + for ( i1 = 0; i1 < N; i1++ ) { + if ( X[ ix1 ] != 0.0 ) { + tmp = alpha * X[ ix1 ]; + ix0 = ox; + iap = kk; + for ( i0 = 0; i0 <= i1; i0++ ) { + AP[ iap ] += X[ ix0 ] * tmp; + ix0 += strideX; + iap += strideAP; + } + } + ix1 += strideX; + kk += ( i1 + 1 ) * strideAP; + } + return; + } + // ( layout == CblasColMajor && uplo == CblasLower ) || ( layout == CblasRowMajor && uplo == CblasUpper ) + ix1 = ox; + for ( i1 = 0; i1 < N; i1++ ) { + if ( X[ ix1 ] != 0.0 ) { + tmp = alpha * X[ ix1 ]; + ix0 = ix1; + iap = kk; + for ( i0 = 0; i0 < N - i1; i0++ ) { + AP[ iap ] += X[ ix0 ] * tmp; + ix0 += strideX; + iap += strideAP; + } + } + ix1 += strideX; + kk += ( N - i1 ) * strideAP; + } + return; +} diff --git a/lib/node_modules/@stdlib/blas/base/dspr/test/test.dspr.native.js b/lib/node_modules/@stdlib/blas/base/dspr/test/test.dspr.native.js new file mode 100644 index 000000000000..bf12ca4073a6 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/test/test.dspr.native.js @@ -0,0 +1,398 @@ +/** +* @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 rl = require( './fixtures/row_major_l.json' ); +var ru = require( './fixtures/row_major_u.json' ); +var rxp = require( './fixtures/row_major_xp.json' ); +var rxn = require( './fixtures/row_major_xn.json' ); + +var cl = require( './fixtures/column_major_l.json' ); +var cu = require( './fixtures/column_major_u.json' ); +var cxp = require( './fixtures/column_major_xp.json' ); +var cxn = require( './fixtures/column_major_xn.json' ); + + +// VARIABLES // + +var dspr = tryRequire( resolve( __dirname, './../lib/dspr.native.js' ) ); +var opts = { + 'skip': ( dspr instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dspr, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 7', opts, function test( t ) { + t.strictEqual( dspr.length, 7, '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 = rl; + + 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() { + dspr( value, data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.AP ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid second argument', opts, function test( t ) { + var values; + var data; + var i; + + data = rl; + + 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() { + dspr( data.order, value, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.AP ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid third argument', opts, function test( t ) { + var values; + var data; + var i; + + data = rl; + + 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() { + dspr( data.order, data.uplo, value, data.alpha, new Float64Array( data.x ), data.strideX, data.AP ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid sixth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = rl; + + 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() { + dspr( data.order, data.uplo, data.N, data.alpha, new Float64Array( data.x ), value, data.AP ); + }; + } +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (row-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = rl; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (column-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cl; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (row-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = ru; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (column-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cu; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns a reference to the packed form of a symmetric matrix `A`', opts, function test( t ) { + var data; + var out; + var ap; + var x; + + data = rl; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or `α` is zero, respectively, the function returns `AP` unchanged (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = ru; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP ); + + out = dspr( data.order, data.uplo, 0, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + out = dspr( data.order, data.uplo, data.N, 0.0, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or `α` is zero, respectively, the function returns `AP` unchanged (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cu; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP ); + + out = dspr( data.order, data.uplo, 0, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + out = dspr( data.order, data.uplo, data.N, 0.0, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `x` stride (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = rxp; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `x` stride (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cxp; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = rxn; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = cxn; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, ap ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/base/dspr/test/test.ndarray.native.js b/lib/node_modules/@stdlib/blas/base/dspr/test/test.ndarray.native.js new file mode 100644 index 000000000000..cacaf870f540 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/base/dspr/test/test.ndarray.native.js @@ -0,0 +1,641 @@ +/** +* @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 rl = require( './fixtures/row_major_l.json' ); +var ru = require( './fixtures/row_major_u.json' ); +var rxp = require( './fixtures/row_major_xp.json' ); +var rxn = require( './fixtures/row_major_xn.json' ); +var rox = require( './fixtures/row_major_ox.json' ); +var rsap = require( './fixtures/row_major_sap.json' ); +var rsapn = require( './fixtures/row_major_sapn.json' ); +var roap = require( './fixtures/row_major_oap.json' ); +var rcap = require( './fixtures/row_major_complex_access_pattern.json' ); + +var cl = require( './fixtures/column_major_l.json' ); +var cu = require( './fixtures/column_major_u.json' ); +var cxp = require( './fixtures/column_major_xp.json' ); +var cxn = require( './fixtures/column_major_xn.json' ); +var cox = require( './fixtures/column_major_ox.json' ); +var csap = require( './fixtures/column_major_sap.json' ); +var csapn = require( './fixtures/column_major_sapn.json' ); +var coap = require( './fixtures/column_major_oap.json' ); +var ccap = require( './fixtures/column_major_complex_access_pattern.json' ); + + +// VARIABLES // + +var dspr = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dspr instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dspr, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 10', opts, function test( t ) { + t.strictEqual( dspr.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 = rl; + + 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() { + dspr( value, data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, data.AP, data.strideAP, data.offsetAP ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid second argument', opts, function test( t ) { + var values; + var data; + var i; + + data = rl; + + 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() { + dspr( data.order, value, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, data.AP, data.strideAP, data.offsetAP ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid third argument', opts, function test( t ) { + var values; + var data; + var i; + + data = rl; + + 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() { + dspr( data.order, data.uplo, value, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetX, data.AP, data.strideAP, data.offsetAP ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid sixth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = rl; + + 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() { + dspr( data.order, data.uplo, data.N, data.alpha, new Float64Array( data.x ), value, data.offsetx, data.AP, data.strideAP, data.offsetAP ); + }; + } +}); + +tape( 'the function throws an error if provided an invalid ninth argument', opts, function test( t ) { + var values; + var data; + var i; + + data = rl; + + 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() { + dspr( data.order, data.uplo, data.N, data.alpha, new Float64Array( data.x ), data.strideX, data.offsetx, data.AP, value, data.offsetAP ); + }; + } +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (row-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = rl; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (column-major, lower)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cl; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (row-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = ru; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the symmetric rank 1 operation `A = α*A*x*x^T + A` (column-major, upper)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cu; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns a reference to the packed form of a symmetric matrix `A`', opts, function test( t ) { + var data; + var out; + var ap; + var x; + + data = rl; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or `α` is zero, respectively, the function returns `AP` unchanged (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = ru; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP ); + + out = dspr( data.order, data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + out = dspr( data.order, data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'if `N` is zero or `α` is zero, respectively, the function returns `AP` unchanged (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cu; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP ); + + out = dspr( data.order, data.uplo, 0, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + out = dspr( data.order, data.uplo, data.N, 0.0, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( ap, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `x` stride (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = rxp; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an `x` stride (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = cxp; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = rxn; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = cxn; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = rox; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = cox; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a stride for `AP` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = rsap; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a stride for `AP` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = csap; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative stride for `AP` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = rsapn; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying a negative stride for `AP` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = csapn; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an offset for `AP` (row-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = roap; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports specifying an offset for `AP` (column-major)', opts, function test( t ) { + var expected; + var data; + var out; + var ap; + var x; + + data = coap; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = rcap; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, '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 ap; + var x; + + data = ccap; + + ap = new Float64Array( data.AP ); + x = new Float64Array( data.x ); + + expected = new Float64Array( data.AP_out ); + + out = dspr( data.order, data.uplo, data.N, data.alpha, x, data.strideX, data.offsetX, ap, data.strideAP, data.offsetAP ); + t.strictEqual( out, ap, 'returns expected value' ); + t.deepEqual( out, expected, 'returns expected value' ); + + t.end(); +});