diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md index f6a6f9b254df..006c77a3bb83 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md @@ -113,6 +113,126 @@ console.log( ndarray2array( v ) ); + + +* * * + +
+ +## C APIs + +
+ +### Usage + +```c +#include "stdlib/blas/ext/base/ndarray/dcartesian_product.h" +``` + +#### stdlib_blas_ext_dcartesian_product( arrays ) + +Computes the Cartesian product for two double-precision floating-point ndarrays and stores each pair in a row of a two-dimensional output ndarray. + +The function accepts the following arguments: + +- **arrays**: `[in] struct ndarray**` list containing two one-dimensional input ndarrays and a two-dimensional output ndarray. + +```c +void stdlib_blas_ext_dcartesian_product( const struct ndarray *arrays[] ); +``` + +
+ + + +
+ +### Notes + +- For inputs of lengths `M` and `N`, the output ndarray should have shape `[M*N, 2]`. +- The first column contains elements from the first input and the second column contains elements from the second input. +- If `M <= 0` or `N <= 0`, the output ndarray is unchanged. +- C ndarray strides and offsets are specified in bytes. The function supports independently strided input and output views. + +
+ + + +
+ +### Examples + +```c +#include "stdlib/blas/ext/base/ndarray/dcartesian_product.h" +#include "stdlib/ndarray/ctor.h" +#include "stdlib/ndarray/dtypes.h" +#include "stdlib/ndarray/index_modes.h" +#include "stdlib/ndarray/orders.h" +#include "stdlib/ndarray/base/bytes_per_element.h" +#include +#include +#include + +int main( void ) { + // Create data buffers: + const double dataX[] = { 1.0, 2.0 }; + const double dataY[] = { 3.0, 4.0, 5.0 }; + double dataOut[ 12 ]; + + // Specify input and output shapes: + int64_t shapeX[] = { 2 }; + int64_t shapeY[] = { 3 }; + int64_t shapeOut[] = { 6, 2 }; + + // Specify byte strides: + int64_t strides[] = { STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT }; + int64_t stridesOut[] = { + 2 * STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT, + STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT + }; + + const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR; + const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR; + int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR }; + + // Create input and output ndarrays: + // cppcheck-suppress invalidPointerCast + struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataX, 1, shapeX, strides, 0, order, imode, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataY, 1, shapeY, strides, 0, order, imode, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataOut, 2, shapeOut, stridesOut, 0, order, imode, 1, submodes ); + if ( x == NULL || y == NULL || out == NULL ) { + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + + const struct ndarray *arrays[] = { x, y, out }; + stdlib_blas_ext_dcartesian_product( arrays ); + + // Print the resulting pairs: + for ( int i = 0; i < 6; i++ ) { + printf( "out[ %i ] = ( %lf, %lf )\n", i, dataOut[ i*2 ], dataOut[ (i*2)+1 ] ); + } + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); +} +``` + +
+ + + +
+ + +
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.native.js new file mode 100644 index 000000000000..f3ce03bd5583 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.native.js @@ -0,0 +1,116 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/uniform' ); +var zeros = require( '@stdlib/ndarray/zeros' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var format = require( '@stdlib/string/format' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dcartesianProduct = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( dcartesianProduct instanceof Error ) +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var out; + var x; + var y; + + x = uniform( [ len ], -100.0, 100.0, options ); + y = uniform( [ len ], -100.0, 100.0, options ); + out = zeros( [ len*len, 2 ], options ); + + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var v; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + v = dcartesianProduct( [ x, y, out ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( isnan( v.get( i%(len*len), i%2 ) ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 3; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( format( '%s::native:len=%d', pkg, len ), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/c/Makefile new file mode 100644 index 000000000000..0756dc7da20a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2026 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/ext/base/ndarray/dcartesian-product/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/c/benchmark.length.c new file mode 100644 index 000000000000..674fc3f388a2 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/c/benchmark.length.c @@ -0,0 +1,231 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/ext/base/ndarray/dcartesian_product.h" +#include "stdlib/ndarray/ctor.h" +#include "stdlib/ndarray/dtypes.h" +#include "stdlib/ndarray/index_modes.h" +#include "stdlib/ndarray/orders.h" +#include "stdlib/ndarray/base/bytes_per_element.h" +#include +#include +#include +#include +#include +#include + +#define NAME "dcartesian-product" +#define ITERATIONS 1000000 +#define REPEATS 3 +#define MIN 1 +#define MAX 3 + +/** +* 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; +} + +/** +* Generates a random number on the interval [min,max). +* +* @param min minimum value (inclusive) +* @param max maximum value (exclusive) +* @return random number +*/ +static double random_uniform( const double min, const double max ) { + double v = (double)rand() / ( (double)RAND_MAX + 1.0 ); + return min + ( v*(max-min) ); +} + +/** +* Runs a benchmark. +* +* @param iterations number of iterations +* @param len array length +* @return elapsed time in seconds +*/ +static double benchmark( int iterations, int len ) { + enum STDLIB_NDARRAY_INDEX_MODE imode; + const struct ndarray *arrays[ 3 ]; + enum STDLIB_NDARRAY_ORDER order; + int8_t submodes[ 1 ]; + int64_t strides[ 1 ]; + int64_t shape[ 1 ]; + int64_t shapeOut[ 2 ]; + int64_t stridesOut[ 2 ]; + int64_t nsubmodes; + struct ndarray *x; + struct ndarray *y; + struct ndarray *out; + int64_t offset; + double elapsed; + int64_t ndims; + double *dataX; + double *dataY; + double *dataOut; + double t; + int i; + + ndims = 1; + shape[ 0 ] = len; + shapeOut[ 0 ] = (int64_t)len * len; + shapeOut[ 1 ] = 2; + stridesOut[ 0 ] = 2 * STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT; + stridesOut[ 1 ] = STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT; + strides[ 0 ] = STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT; + offset = 0; + order = STDLIB_NDARRAY_ROW_MAJOR; + imode = STDLIB_NDARRAY_INDEX_ERROR; + submodes[ 0 ] = imode; + nsubmodes = 1; + + dataX = (double *) malloc( len * sizeof( double ) ); + dataY = (double *) malloc( len * sizeof( double ) ); + dataOut = (double *) malloc( (size_t)len * len * 2 * sizeof( double ) ); + if ( dataX == NULL || dataY == NULL || dataOut == NULL ) { + free( dataX ); + free( dataY ); + free( dataOut ); + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + for ( i = 0; i < len; i++ ) { + dataX[ i ] = random_uniform( -100.0, 100.0 ); + dataY[ i ] = random_uniform( -100.0, 100.0 ); + } + + // cppcheck-suppress invalidPointerCast + x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataX, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + + // cppcheck-suppress invalidPointerCast + y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataY, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + + // cppcheck-suppress invalidPointerCast + out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataOut, 2, shapeOut, stridesOut, offset, order, imode, nsubmodes, submodes ); + if ( x == NULL || y == NULL || out == NULL ) { + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); + free( dataX ); + free( dataY ); + free( dataOut ); + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + + arrays[ 0 ] = x; + arrays[ 1 ] = y; + arrays[ 2 ] = out; + + t = tic(); + for ( i = 0; i < iterations; i++ ) { + stdlib_blas_ext_dcartesian_product( arrays ); + if ( dataOut[ 0 ] != dataOut[ 0 ] ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( dataOut[ 0 ] != dataOut[ 0 ] ) { + printf( "should not return NaN\n" ); + } + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); + free( dataX ); + free( dataY ); + free( dataOut ); + arrays[ 0 ] = NULL; + arrays[ 1 ] = NULL; + arrays[ 2 ] = NULL; + + return elapsed; +} + +/** +* Main execution sequence. +*/ +int main( void ) { + double elapsed; + int count; + int iter; + int len; + 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++ ) { + len = pow( 10, i ); + iter = ITERATIONS / pow( 100, i-1 ); + for ( j = 0; j < REPEATS; j++ ) { + count += 1; + printf( "# c::%s:len=%d\n", NAME, len ); + elapsed = benchmark( iter, len ); + print_results( iter, elapsed ); + printf( "ok %d benchmark finished\n", count ); + } + } + print_summary( count, count ); +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/binding.gyp b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/binding.gyp new file mode 100644 index 000000000000..60dce9d0b31a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/binding.gyp @@ -0,0 +1,265 @@ +# @license Apache-2.0 +# +# Copyright (c) 2026 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/ext/base/ndarray/dcartesian-product/examples/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/c/Makefile new file mode 100644 index 000000000000..c8f8e9a1517b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2026 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/ext/base/ndarray/dcartesian-product/examples/c/example.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/c/example.c new file mode 100644 index 000000000000..31bf90545826 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/c/example.c @@ -0,0 +1,78 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/ext/base/ndarray/dcartesian_product.h" +#include "stdlib/ndarray/ctor.h" +#include "stdlib/ndarray/dtypes.h" +#include "stdlib/ndarray/index_modes.h" +#include "stdlib/ndarray/orders.h" +#include "stdlib/ndarray/base/bytes_per_element.h" +#include +#include +#include + +int main( void ) { + // Create data buffers: + const double dataX[] = { 1.0, 2.0 }; + const double dataY[] = { 3.0, 4.0, 5.0 }; + double dataOut[ 12 ]; + + // Specify input and output shapes: + int64_t shapeX[] = { 2 }; + int64_t shapeY[] = { 3 }; + int64_t shapeOut[] = { 6, 2 }; + + // Specify byte strides: + int64_t strides[] = { STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT }; + int64_t stridesOut[] = { + 2 * STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT, + STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT + }; + + const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR; + const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR; + int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR }; + + // Create input and output ndarrays: + // cppcheck-suppress invalidPointerCast + struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataX, 1, shapeX, strides, 0, order, imode, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataY, 1, shapeY, strides, 0, order, imode, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataOut, 2, shapeOut, stridesOut, 0, order, imode, 1, submodes ); + if ( x == NULL || y == NULL || out == NULL ) { + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + + const struct ndarray *arrays[] = { x, y, out }; + stdlib_blas_ext_dcartesian_product( arrays ); + + // Print the resulting pairs: + for ( int i = 0; i < 6; i++ ) { + printf( "out[ %i ] = ( %lf, %lf )\n", i, dataOut[ i*2 ], dataOut[ (i*2)+1 ] ); + } + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/include.gypi b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/include.gypi new file mode 100644 index 000000000000..bee8d41a2caf --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/include.gypi @@ -0,0 +1,53 @@ +# @license Apache-2.0 +# +# Copyright (c) 2026 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. +# +# Main documentation: +# +# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md +# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md +{ + # Define variables to be used throughout the configuration for all targets: + 'variables': { + # Source directory: + 'src_dir': './src', + + # Include directories: + 'include_dirs': [ + '} arrays - array-like object containing ndarrays +* @returns {Object} output ndarray +* +* @example +* var Float64Vector = require( '@stdlib/ndarray/vector/float64' ); +* var zeros = require( '@stdlib/ndarray/zeros' ); +* +* var x = new Float64Vector( [ 1.0, 2.0 ] ); +* var y = new Float64Vector( [ 3.0, 4.0 ] ); +* var out = zeros( [ 4, 2 ], { +* 'dtype': 'float64' +* }); +* +* var v = dcartesianProduct( [ x, y, out ] ); +* // returns [ [ 1.0, 3.0 ], [ 1.0, 4.0 ], [ 2.0, 3.0 ], [ 2.0, 4.0 ] ] +* +* var bool = ( v === out ); +* // returns true +*/ +function dcartesianProduct( arrays ) { + var out; + var x; + var y; + + x = arrays[ 0 ]; + y = arrays[ 1 ]; + out = arrays[ 2 ]; + addon( getData( x ), serialize( x ), getData( y ), serialize( y ), getData( out ), serialize( out ) ); // eslint-disable-line max-len + return out; +} + + +// EXPORTS // + +module.exports = dcartesianProduct; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/manifest.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/manifest.json new file mode 100644 index 000000000000..6ef310688a6c --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/manifest.json @@ -0,0 +1,110 @@ +{ + "options": { + "task": "build", + "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", + "wasm": false, + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/ext/base/dcartesian-product", + "@stdlib/ndarray/ctor", + "@stdlib/ndarray/base/napi/addon-arguments", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/create-double" + ] + }, + { + "task": "benchmark", + "wasm": false, + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/ext/base/dcartesian-product", + "@stdlib/ndarray/ctor", + "@stdlib/ndarray/dtypes", + "@stdlib/ndarray/index-modes", + "@stdlib/ndarray/orders", + "@stdlib/ndarray/base/bytes-per-element" + ] + }, + { + "task": "examples", + "wasm": false, + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/ext/base/dcartesian-product", + "@stdlib/ndarray/ctor", + "@stdlib/ndarray/dtypes", + "@stdlib/ndarray/index-modes", + "@stdlib/ndarray/orders", + "@stdlib/ndarray/base/bytes-per-element" + ] + }, + { + "task": "", + "wasm": true, + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/ext/base/dcartesian-product", + "@stdlib/ndarray/ctor" + ] + } + ] +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json index 2659392304cd..1debca941de1 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json @@ -14,11 +14,15 @@ } ], "main": "./lib", + "browser": "./lib/main.js", + "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/ext/base/ndarray/dcartesian-product/src/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/src/Makefile new file mode 100644 index 000000000000..2caf905cedbe --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/src/Makefile @@ -0,0 +1,70 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2026 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/ext/base/ndarray/dcartesian-product/src/addon.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/src/addon.c new file mode 100644 index 000000000000..c35949a585a9 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/src/addon.c @@ -0,0 +1,70 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/ext/base/ndarray/dcartesian_product.h" +#include "stdlib/ndarray/ctor.h" +#include "stdlib/ndarray/base/napi/addon_arguments.h" +#include "stdlib/napi/export.h" +#include "stdlib/napi/argv.h" +#include +#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, 6 ); + + // Process provided arguments: + struct ndarray *arrays[ 3 ] = { NULL, NULL, NULL }; + napi_value err; + napi_status status = stdlib_ndarray_napi_addon_arguments( env, argv, 6, 2, arrays, &err ); + assert( status == napi_ok ); + if ( err != NULL ) { + stdlib_ndarray_free( arrays[ 0 ] ); + stdlib_ndarray_free( arrays[ 1 ] ); + stdlib_ndarray_free( arrays[ 2 ] ); + status = napi_throw( env, err ); + assert( status == napi_ok ); + return NULL; + } + // Create a const-qualified view of the argument pointer list: + const struct ndarray *arr[ 3 ] = { + arrays[ 0 ], + arrays[ 1 ], + arrays[ 2 ] + }; + // Perform computation: + stdlib_blas_ext_dcartesian_product( arr ); + + // Free allocated memory: + stdlib_ndarray_free( arrays[ 0 ] ); + stdlib_ndarray_free( arrays[ 1 ] ); + stdlib_ndarray_free( arrays[ 2 ] ); + arrays[ 0 ] = NULL; + arrays[ 1 ] = NULL; + arrays[ 2 ] = NULL; + + return NULL; +} + +STDLIB_NAPI_MODULE_EXPORT_FCN( addon ) diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/src/main.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/src/main.c new file mode 100644 index 000000000000..d1d5feefc3b7 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/src/main.c @@ -0,0 +1,53 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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/ext/base/ndarray/dcartesian_product.h" +#include "stdlib/blas/ext/base/dcartesian_product.h" +#include "stdlib/ndarray/ctor.h" +#include "stdlib/blas/base/shared.h" + +/** +* Computes the Cartesian product for two double-precision floating-point ndarrays. +* +* ## Notes +* +* - The function expects two one-dimensional input ndarrays and a two-dimensional output ndarray. +* - Pairs are stored as rows, with the first and second elements in the first and second columns. +* +* @param arrays list containing ndarrays +*/ +void stdlib_blas_ext_dcartesian_product( const struct ndarray *arrays[] ) { + const struct ndarray *x = arrays[ 0 ]; + const struct ndarray *y = arrays[ 1 ]; + const struct ndarray *out = arrays[ 2 ]; + + const CBLAS_INT M = stdlib_ndarray_dimension( x, 0 ); + const CBLAS_INT N = stdlib_ndarray_dimension( y, 0 ); + const CBLAS_INT strideX = stdlib_ndarray_stride_elements( x, 0 ); + const CBLAS_INT offsetX = stdlib_ndarray_offset_elements( x ); + const CBLAS_INT strideY = stdlib_ndarray_stride_elements( y, 0 ); + const CBLAS_INT offsetY = stdlib_ndarray_offset_elements( y ); + const CBLAS_INT strideOut1 = stdlib_ndarray_stride_elements( out, 0 ); + const CBLAS_INT strideOut2 = stdlib_ndarray_stride_elements( out, 1 ); + const CBLAS_INT offsetOut = stdlib_ndarray_offset_elements( out ); + + const double *dataX = (const double *)stdlib_ndarray_data( x ); + const double *dataY = (const double *)stdlib_ndarray_data( y ); + double *dataOut = (double *)stdlib_ndarray_data( out ); + API_SUFFIX(stdlib_strided_dcartesian_product_ndarray)( M, N, dataX, strideX, offsetX, dataY, strideY, offsetY, dataOut, strideOut1, strideOut2, offsetOut ); +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js index 3073159e2c99..2f7ed56d4707 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js @@ -186,7 +186,16 @@ tape( 'if provided `M` or `N` less than or equal to `0`, the function returns th var y; var v; - out = matrix( new Float64Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ), 4, 2, 2, 1, 0 ); + out = matrix( new Float64Array([ + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ]), 4, 2, 2, 1, 0 ); expected = new Float64Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ); x = vector( new Float64Array( [ 1.0, 2.0 ] ), 0, 1, 0 ); @@ -259,7 +268,18 @@ tape( 'the function supports ndarrays having non-zero offsets', function test( t v = dcartesianProduct( [ x, y, out ] ); - expected = new Float64Array( [ 0.0, 0.0, 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] ); + expected = new Float64Array([ + 0.0, + 0.0, + 1.0, + 3.0, + 1.0, + 4.0, + 2.0, + 3.0, + 2.0, + 4.0 + ]); t.strictEqual( v, out, 'returns expected value' ); t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); t.end(); @@ -283,3 +303,209 @@ tape( 'the function supports output ndarrays with negative strides', function te t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); t.end(); }); + +tape( 'the function combines independent input views with padded output rows and reversed columns', function test( t ) { + var expected; + var dataOut; + var dataX; + var dataY; + var out; + var x; + var y; + var v; + + dataX = new Float64Array( [ 91.0, 1.0, 92.0, 2.0, 93.0 ] ); + dataY = new Float64Array( [ 94.0, 4.0, 95.0, 3.0, 96.0 ] ); + dataOut = new Float64Array( 21 ); + dataOut.fill( -99.0 ); + x = vector( dataX, 2, 2, 1 ); + y = vector( dataY, 2, -2, 3 ); + out = matrix( dataOut, 4, 2, 5, -2, 3 ); + v = dcartesianProduct( [ x, y, out ] ); + + // The logical rows are [1,3], [1,4], [2,3], [2,4]: + expected = new Float64Array([ + -99.0, + 3.0, + -99.0, + 1.0, + -99.0, + -99.0, + 4.0, + -99.0, + 1.0, + -99.0, + -99.0, + 3.0, + -99.0, + 2.0, + -99.0, + -99.0, + 4.0, + -99.0, + 2.0, + -99.0, + -99.0 + ]); + t.strictEqual( v, out, 'returns the output ndarray' ); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'writes pairs at the selected indices and preserves guards' ); + t.strictEqual( isSameFloat64Array( dataX, new Float64Array( [ 91.0, 1.0, 92.0, 2.0, 93.0 ] ) ), true, 'preserves the first input' ); + t.strictEqual( isSameFloat64Array( dataY, new Float64Array( [ 94.0, 4.0, 95.0, 3.0, 96.0 ] ) ), true, 'preserves the second input' ); + t.end(); +}); + +tape( 'the function supports padded column-major outputs with independent row and column strides', function test( t ) { + var expected; + var dataOut; + var out; + var x; + var y; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + dataOut = new Float64Array( 20 ); + dataOut.fill( -99.0 ); + out = new ndarray( 'float64', dataOut, [ 4, 2 ], [ 2, 11 ], 1, 'column-major' ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + -99.0, + 1.0, + -99.0, + 1.0, + -99.0, + 2.0, + -99.0, + 2.0, + -99.0, + -99.0, + -99.0, + -99.0, + 3.0, + -99.0, + 4.0, + -99.0, + 3.0, + -99.0, + 4.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'writes padded columns and preserves guards' ); + t.end(); +}); + +tape( 'the function supports outputs with both dimensions reversed', function test( t ) { + var expected; + var dataOut; + var out; + var x; + var y; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + dataOut = new Float64Array( 12 ); + dataOut.fill( -99.0 ); + out = matrix( dataOut, 4, 2, -3, -1, 10 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + 4.0, + 2.0, + -99.0, + 3.0, + 2.0, + -99.0, + 4.0, + 1.0, + -99.0, + 3.0, + 1.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'supports two negative output strides' ); + t.end(); +}); + +tape( 'the function supports zero input strides and array-like argument collections', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 99.0, 7.0 ] ), 2, 0, 1 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + v = dcartesianProduct({ + '0': x, + '1': y, + '2': out, + 'length': 3 + }); + + expected = new Float64Array( [ 7.0, 3.0, 7.0, 4.0, 7.0, 3.0, 7.0, 4.0 ] ); + t.strictEqual( v, out, 'returns the output ndarray' ); + t.strictEqual( isSameFloat64Array( getData( out ), expected ), true, 'repeats the selected input value' ); + t.end(); +}); + +tape( 'the function respects byte offsets of input and output typed-array views', function test( t ) { + var expected; + var dataOut; + var dataX; + var dataY; + var out; + var x; + var y; + + dataX = new Float64Array( [ 99.0, 1.0, 2.0, 99.0 ] ); + dataY = new Float64Array( [ 99.0, 3.0, 4.0, 99.0 ] ); + dataOut = new Float64Array( 12 ); + dataOut.fill( -99.0 ); + x = vector( new Float64Array( dataX.buffer, 8, 2 ), 2, -1, 1 ); + y = vector( new Float64Array( dataY.buffer, 8, 2 ), 2, 1, 0 ); + out = matrix( new Float64Array( dataOut.buffer, 16, 8 ), 4, 2, 2, 1, 0 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + -99.0, + -99.0, + 2.0, + 3.0, + 2.0, + 4.0, + 1.0, + 3.0, + 1.0, + 4.0, + -99.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'combines buffer byte offsets and logical ndarray offsets' ); + t.end(); +}); + +tape( 'the function copies NaN, infinities, and signed zero without arithmetic', function test( t ) { + var expected; + var out; + var x; + var y; + + x = vector( new Float64Array( [ NaN, -0.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ Infinity, -Infinity ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + NaN, + Infinity, + NaN, + -Infinity, + -0.0, + Infinity, + -0.0, + -Infinity + ]); + t.strictEqual( isSameFloat64Array( getData( out ), expected ), true, 'copies each input component unchanged' ); + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.main.js new file mode 100644 index 000000000000..37d0cc0ddee4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.main.js @@ -0,0 +1,511 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 The Stdlib Authors. +* +* Licensed under the Apache License, Version 2.0 (the "License"); +* you may not use this file except in compliance with the License. +* You may obtain a copy of the License at +* +* http://www.apache.org/licenses/LICENSE-2.0 +* +* Unless required by applicable law or agreed to in writing, software +* distributed under the License is distributed on an "AS IS" BASIS, +* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +* See the License for the specific language governing permissions and +* limitations under the License. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' ); +var Float64Array = require( '@stdlib/array/float64' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var dcartesianProduct = require( './../lib/main.js' ); + + +// FUNCTIONS // + +/** +* Returns a one-dimensional ndarray. +* +* @private +* @param {Collection} buffer - underlying data buffer +* @param {NonNegativeInteger} N - number of elements +* @param {integer} stride - stride +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} one-dimensional ndarray +*/ +function vector( buffer, N, stride, offset ) { + return new ndarray( 'float64', buffer, [ N ], [ stride ], offset, 'row-major' ); +} + +/** +* Returns a two-dimensional ndarray. +* +* @private +* @param {Collection} buffer - underlying data buffer +* @param {NonNegativeInteger} M - number of rows +* @param {NonNegativeInteger} N - number of columns +* @param {integer} stride0 - stride of the first dimension +* @param {integer} stride1 - stride of the second dimension +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} two-dimensional ndarray +*/ +function matrix( buffer, M, N, stride0, stride1, offset ) { + return new ndarray( 'float64', buffer, [ M, N ], [ stride0, stride1 ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dcartesianProduct, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( dcartesianProduct.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (row-major)', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (row-major, M=3, N=2)', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0, 3.0 ] ), 3, 1, 0 ); + y = vector( new Float64Array( [ 4.0, 5.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 12 ), 6, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + 1.0, + 4.0, + 1.0, + 5.0, + 2.0, + 4.0, + 2.0, + 5.0, + 3.0, + 4.0, + 3.0, + 5.0 + ]); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (row-major, M=1, N=1)', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 5.0 ] ), 1, 1, 0 ); + y = vector( new Float64Array( [ 7.0 ] ), 1, 1, 0 ); + out = matrix( new Float64Array( 2 ), 1, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 5.0, 7.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (column-major)', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 1, 4, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 4.0, 3.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function returns a reference to the output ndarray', function test( t ) { + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + t.strictEqual( v, out, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided `M` or `N` less than or equal to `0`, the function returns the output ndarray unchanged', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + out = matrix( new Float64Array([ + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ]), 4, 2, 2, 1, 0 ); + expected = new Float64Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 0, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 0, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports input ndarrays with strides', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 0.0, 2.0, 0.0 ] ), 2, 2, 0 ); + y = vector( new Float64Array( [ 3.0, 0.0, 4.0, 0.0 ] ), 2, 2, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports input ndarrays with negative strides', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 2.0, 1.0 ] ), 2, -1, 1 ); + y = vector( new Float64Array( [ 4.0, 3.0 ] ), 2, -1, 1 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports ndarrays having non-zero offsets', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 99.0, 1.0, 2.0 ] ), 2, 1, 1 ); + y = vector( new Float64Array( [ 99.0, 3.0, 4.0 ] ), 2, 1, 1 ); + out = matrix( new Float64Array( 10 ), 4, 2, 2, 1, 2 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + 0.0, + 0.0, + 1.0, + 3.0, + 1.0, + 4.0, + 2.0, + 3.0, + 2.0, + 4.0 + ]); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports output ndarrays with negative strides', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, -2, 1, 6 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 2.0, 4.0, 2.0, 3.0, 1.0, 4.0, 1.0, 3.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function combines independent input views with padded output rows and reversed columns', function test( t ) { + var expected; + var dataOut; + var dataX; + var dataY; + var out; + var x; + var y; + var v; + + dataX = new Float64Array( [ 91.0, 1.0, 92.0, 2.0, 93.0 ] ); + dataY = new Float64Array( [ 94.0, 4.0, 95.0, 3.0, 96.0 ] ); + dataOut = new Float64Array( 21 ); + dataOut.fill( -99.0 ); + x = vector( dataX, 2, 2, 1 ); + y = vector( dataY, 2, -2, 3 ); + out = matrix( dataOut, 4, 2, 5, -2, 3 ); + v = dcartesianProduct( [ x, y, out ] ); + + // The logical rows are [1,3], [1,4], [2,3], [2,4]: + expected = new Float64Array([ + -99.0, + 3.0, + -99.0, + 1.0, + -99.0, + -99.0, + 4.0, + -99.0, + 1.0, + -99.0, + -99.0, + 3.0, + -99.0, + 2.0, + -99.0, + -99.0, + 4.0, + -99.0, + 2.0, + -99.0, + -99.0 + ]); + t.strictEqual( v, out, 'returns the output ndarray' ); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'writes pairs at the selected indices and preserves guards' ); + t.strictEqual( isSameFloat64Array( dataX, new Float64Array( [ 91.0, 1.0, 92.0, 2.0, 93.0 ] ) ), true, 'preserves the first input' ); + t.strictEqual( isSameFloat64Array( dataY, new Float64Array( [ 94.0, 4.0, 95.0, 3.0, 96.0 ] ) ), true, 'preserves the second input' ); + t.end(); +}); + +tape( 'the function supports padded column-major outputs with independent row and column strides', function test( t ) { + var expected; + var dataOut; + var out; + var x; + var y; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + dataOut = new Float64Array( 20 ); + dataOut.fill( -99.0 ); + out = new ndarray( 'float64', dataOut, [ 4, 2 ], [ 2, 11 ], 1, 'column-major' ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + -99.0, + 1.0, + -99.0, + 1.0, + -99.0, + 2.0, + -99.0, + 2.0, + -99.0, + -99.0, + -99.0, + -99.0, + 3.0, + -99.0, + 4.0, + -99.0, + 3.0, + -99.0, + 4.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'writes padded columns and preserves guards' ); + t.end(); +}); + +tape( 'the function supports outputs with both dimensions reversed', function test( t ) { + var expected; + var dataOut; + var out; + var x; + var y; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + dataOut = new Float64Array( 12 ); + dataOut.fill( -99.0 ); + out = matrix( dataOut, 4, 2, -3, -1, 10 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + 4.0, + 2.0, + -99.0, + 3.0, + 2.0, + -99.0, + 4.0, + 1.0, + -99.0, + 3.0, + 1.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'supports two negative output strides' ); + t.end(); +}); + +tape( 'the function supports zero input strides and array-like argument collections', function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 99.0, 7.0 ] ), 2, 0, 1 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + v = dcartesianProduct({ + '0': x, + '1': y, + '2': out, + 'length': 3 + }); + + expected = new Float64Array( [ 7.0, 3.0, 7.0, 4.0, 7.0, 3.0, 7.0, 4.0 ] ); + t.strictEqual( v, out, 'returns the output ndarray' ); + t.strictEqual( isSameFloat64Array( getData( out ), expected ), true, 'repeats the selected input value' ); + t.end(); +}); + +tape( 'the function respects byte offsets of input and output typed-array views', function test( t ) { + var expected; + var dataOut; + var dataX; + var dataY; + var out; + var x; + var y; + + dataX = new Float64Array( [ 99.0, 1.0, 2.0, 99.0 ] ); + dataY = new Float64Array( [ 99.0, 3.0, 4.0, 99.0 ] ); + dataOut = new Float64Array( 12 ); + dataOut.fill( -99.0 ); + x = vector( new Float64Array( dataX.buffer, 8, 2 ), 2, -1, 1 ); + y = vector( new Float64Array( dataY.buffer, 8, 2 ), 2, 1, 0 ); + out = matrix( new Float64Array( dataOut.buffer, 16, 8 ), 4, 2, 2, 1, 0 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + -99.0, + -99.0, + 2.0, + 3.0, + 2.0, + 4.0, + 1.0, + 3.0, + 1.0, + 4.0, + -99.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'combines buffer byte offsets and logical ndarray offsets' ); + t.end(); +}); + +tape( 'the function copies NaN, infinities, and signed zero without arithmetic', function test( t ) { + var expected; + var out; + var x; + var y; + + x = vector( new Float64Array( [ NaN, -0.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ Infinity, -Infinity ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + NaN, + Infinity, + NaN, + -Infinity, + -0.0, + Infinity, + -0.0, + -Infinity + ]); + t.strictEqual( isSameFloat64Array( getData( out ), expected ), true, 'copies each input component unchanged' ); + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.native.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.native.js new file mode 100644 index 000000000000..3986a7193be5 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.native.js @@ -0,0 +1,520 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2026 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 tape = require( 'tape' ); +var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' ); +var Float64Array = require( '@stdlib/array/float64' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// VARIABLES // + +var dcartesianProduct = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( dcartesianProduct instanceof Error ) +}; + + +// FUNCTIONS // + +/** +* Returns a one-dimensional ndarray. +* +* @private +* @param {Collection} buffer - underlying data buffer +* @param {NonNegativeInteger} N - number of elements +* @param {integer} stride - stride +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} one-dimensional ndarray +*/ +function vector( buffer, N, stride, offset ) { + return new ndarray( 'float64', buffer, [ N ], [ stride ], offset, 'row-major' ); +} + +/** +* Returns a two-dimensional ndarray. +* +* @private +* @param {Collection} buffer - underlying data buffer +* @param {NonNegativeInteger} M - number of rows +* @param {NonNegativeInteger} N - number of columns +* @param {integer} stride0 - stride of the first dimension +* @param {integer} stride1 - stride of the second dimension +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} two-dimensional ndarray +*/ +function matrix( buffer, M, N, stride0, stride1, offset ) { + return new ndarray( 'float64', buffer, [ M, N ], [ stride0, stride1 ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dcartesianProduct, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', opts, function test( t ) { + t.strictEqual( dcartesianProduct.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (row-major)', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (row-major, M=3, N=2)', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0, 3.0 ] ), 3, 1, 0 ); + y = vector( new Float64Array( [ 4.0, 5.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 12 ), 6, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + 1.0, + 4.0, + 1.0, + 5.0, + 2.0, + 4.0, + 2.0, + 5.0, + 3.0, + 4.0, + 3.0, + 5.0 + ]); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (row-major, M=1, N=1)', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 5.0 ] ), 1, 1, 0 ); + y = vector( new Float64Array( [ 7.0 ] ), 1, 1, 0 ); + out = matrix( new Float64Array( 2 ), 1, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 5.0, 7.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function computes the Cartesian product (column-major)', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 1, 4, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 4.0, 3.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function returns a reference to the output ndarray', opts, function test( t ) { + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + t.strictEqual( v, out, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided `M` or `N` less than or equal to `0`, the function returns the output ndarray unchanged', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + out = matrix( new Float64Array([ + 3.0, + 4.0, + 5.0, + 6.0, + 7.0, + 8.0, + 9.0, + 10.0 + ]), 4, 2, 2, 1, 0 ); + expected = new Float64Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 0, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 0, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports input ndarrays with strides', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 0.0, 2.0, 0.0 ] ), 2, 2, 0 ); + y = vector( new Float64Array( [ 3.0, 0.0, 4.0, 0.0 ] ), 2, 2, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports input ndarrays with negative strides', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 2.0, 1.0 ] ), 2, -1, 1 ); + y = vector( new Float64Array( [ 4.0, 3.0 ] ), 2, -1, 1 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports ndarrays having non-zero offsets', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 99.0, 1.0, 2.0 ] ), 2, 1, 1 ); + y = vector( new Float64Array( [ 99.0, 3.0, 4.0 ] ), 2, 1, 1 ); + out = matrix( new Float64Array( 10 ), 4, 2, 2, 1, 2 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + 0.0, + 0.0, + 1.0, + 3.0, + 1.0, + 4.0, + 2.0, + 3.0, + 2.0, + 4.0 + ]); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports output ndarrays with negative strides', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, -2, 1, 6 ); + + v = dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array( [ 2.0, 4.0, 2.0, 3.0, 1.0, 4.0, 1.0, 3.0 ] ); + t.strictEqual( v, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function combines independent input views with padded output rows and reversed columns', opts, function test( t ) { + var expected; + var dataOut; + var dataX; + var dataY; + var out; + var x; + var y; + var v; + + dataX = new Float64Array( [ 91.0, 1.0, 92.0, 2.0, 93.0 ] ); + dataY = new Float64Array( [ 94.0, 4.0, 95.0, 3.0, 96.0 ] ); + dataOut = new Float64Array( 21 ); + dataOut.fill( -99.0 ); + x = vector( dataX, 2, 2, 1 ); + y = vector( dataY, 2, -2, 3 ); + out = matrix( dataOut, 4, 2, 5, -2, 3 ); + v = dcartesianProduct( [ x, y, out ] ); + + // The logical rows are [1,3], [1,4], [2,3], [2,4]: + expected = new Float64Array([ + -99.0, + 3.0, + -99.0, + 1.0, + -99.0, + -99.0, + 4.0, + -99.0, + 1.0, + -99.0, + -99.0, + 3.0, + -99.0, + 2.0, + -99.0, + -99.0, + 4.0, + -99.0, + 2.0, + -99.0, + -99.0 + ]); + t.strictEqual( v, out, 'returns the output ndarray' ); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'writes pairs at the selected indices and preserves guards' ); + t.strictEqual( isSameFloat64Array( dataX, new Float64Array( [ 91.0, 1.0, 92.0, 2.0, 93.0 ] ) ), true, 'preserves the first input' ); + t.strictEqual( isSameFloat64Array( dataY, new Float64Array( [ 94.0, 4.0, 95.0, 3.0, 96.0 ] ) ), true, 'preserves the second input' ); + t.end(); +}); + +tape( 'the function supports padded column-major outputs with independent row and column strides', opts, function test( t ) { + var expected; + var dataOut; + var out; + var x; + var y; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + dataOut = new Float64Array( 20 ); + dataOut.fill( -99.0 ); + out = new ndarray( 'float64', dataOut, [ 4, 2 ], [ 2, 11 ], 1, 'column-major' ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + -99.0, + 1.0, + -99.0, + 1.0, + -99.0, + 2.0, + -99.0, + 2.0, + -99.0, + -99.0, + -99.0, + -99.0, + 3.0, + -99.0, + 4.0, + -99.0, + 3.0, + -99.0, + 4.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'writes padded columns and preserves guards' ); + t.end(); +}); + +tape( 'the function supports outputs with both dimensions reversed', opts, function test( t ) { + var expected; + var dataOut; + var out; + var x; + var y; + + x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + dataOut = new Float64Array( 12 ); + dataOut.fill( -99.0 ); + out = matrix( dataOut, 4, 2, -3, -1, 10 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + 4.0, + 2.0, + -99.0, + 3.0, + 2.0, + -99.0, + 4.0, + 1.0, + -99.0, + 3.0, + 1.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'supports two negative output strides' ); + t.end(); +}); + +tape( 'the function supports zero input strides and array-like argument collections', opts, function test( t ) { + var expected; + var out; + var x; + var y; + var v; + + x = vector( new Float64Array( [ 99.0, 7.0 ] ), 2, 0, 1 ); + y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + v = dcartesianProduct({ + '0': x, + '1': y, + '2': out, + 'length': 3 + }); + + expected = new Float64Array( [ 7.0, 3.0, 7.0, 4.0, 7.0, 3.0, 7.0, 4.0 ] ); + t.strictEqual( v, out, 'returns the output ndarray' ); + t.strictEqual( isSameFloat64Array( getData( out ), expected ), true, 'repeats the selected input value' ); + t.end(); +}); + +tape( 'the function respects byte offsets of input and output typed-array views', opts, function test( t ) { + var expected; + var dataOut; + var dataX; + var dataY; + var out; + var x; + var y; + + dataX = new Float64Array( [ 99.0, 1.0, 2.0, 99.0 ] ); + dataY = new Float64Array( [ 99.0, 3.0, 4.0, 99.0 ] ); + dataOut = new Float64Array( 12 ); + dataOut.fill( -99.0 ); + x = vector( new Float64Array( dataX.buffer, 8, 2 ), 2, -1, 1 ); + y = vector( new Float64Array( dataY.buffer, 8, 2 ), 2, 1, 0 ); + out = matrix( new Float64Array( dataOut.buffer, 16, 8 ), 4, 2, 2, 1, 0 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + -99.0, + -99.0, + 2.0, + 3.0, + 2.0, + 4.0, + 1.0, + 3.0, + 1.0, + 4.0, + -99.0, + -99.0 + ]); + t.strictEqual( isSameFloat64Array( dataOut, expected ), true, 'combines buffer byte offsets and logical ndarray offsets' ); + t.end(); +}); + +tape( 'the function copies NaN, infinities, and signed zero without arithmetic', opts, function test( t ) { + var expected; + var out; + var x; + var y; + + x = vector( new Float64Array( [ NaN, -0.0 ] ), 2, 1, 0 ); + y = vector( new Float64Array( [ Infinity, -Infinity ] ), 2, 1, 0 ); + out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 ); + dcartesianProduct( [ x, y, out ] ); + + expected = new Float64Array([ + NaN, + Infinity, + NaN, + -Infinity, + -0.0, + Infinity, + -0.0, + -Infinity + ]); + t.strictEqual( isSameFloat64Array( getData( out ), expected ), true, 'copies each input component unchanged' ); + t.end(); +});