diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/README.md index 96ed983e7c71..5225a124c0e4 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/README.md @@ -111,6 +111,138 @@ console.log( ndarray2array( out ) ); + + +* * * + +
+ +## C APIs + +
+ +### Usage + +```c +#include "stdlib/blas/ext/base/ndarray/dwhere.h" +``` + +#### stdlib_blas_ext_dwhere( arrays ) + +Takes elements from one of two one-dimensional double-precision floating-point ndarrays depending on a condition. + +The function accepts the following arguments: + +- **arrays**: `[in] struct ndarray**` list containing the following ndarrays: + + - `[in] struct ndarray*` a one-dimensional boolean condition ndarray. + - `[in] struct ndarray*` first one-dimensional double-precision input ndarray. + - `[in] struct ndarray*` second one-dimensional double-precision input ndarray. + - `[out] struct ndarray*` a one-dimensional double-precision output ndarray. + +```c +void stdlib_blas_ext_dwhere( const struct ndarray *arrays[] ); +``` + +
+ + + +
+ +### Notes + +- The output ndarray is modified in-place. +- A nonzero condition byte selects an element from the first input ndarray; a zero byte selects an element from the second input ndarray. +- Strides and offsets in C ndarray metadata are specified in units of bytes. + +
+ + + +
+ +### Examples + +```c +/** +* @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/dwhere.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: + uint8_t dataC[] = { 1, 0, 1, 0, 1 }; + double dataX[] = { 1.0, 2.0, 3.0, 4.0, 5.0 }; + double dataY[] = { 6.0, 7.0, 8.0, 9.0, 10.0 }; + double dataOut[] = { 0.0, 0.0, 0.0, 0.0, 0.0 }; + int64_t shape[] = { 5 }; + int64_t strideC[] = { STDLIB_NDARRAY_BOOL_BYTES_PER_ELEMENT }; + int64_t stride[] = { STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT }; + int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR }; + + // Create ndarrays: + struct ndarray *condition = stdlib_ndarray_allocate( STDLIB_NDARRAY_BOOL, dataC, 1, shape, strideC, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataX, 1, shape, stride, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataY, 1, shape, stride, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataOut, 1, shape, stride, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + if ( condition == NULL || x == NULL || y == NULL || out == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + stdlib_ndarray_free( condition ); + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); + exit( 1 ); + } + const struct ndarray *arrays[] = { condition, x, y, out }; + stdlib_blas_ext_dwhere( arrays ); + for ( int i = 0; i < 5; i++ ) { + printf( "out[ %i ] = %lf\n", i, dataOut[ i ] ); + } + stdlib_ndarray_free( condition ); + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); +} +``` + +
+ + + +
+ + +
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/benchmark/benchmark.native.js new file mode 100644 index 000000000000..9dae80852b45 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/benchmark/benchmark.native.js @@ -0,0 +1,121 @@ +/** +* @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 tryRequire = require( '@stdlib/utils/try-require' ); +var bernoulli = require( '@stdlib/random/array/bernoulli' ); +var uniform = require( '@stdlib/random/uniform' ); +var BooleanVector = require( '@stdlib/ndarray/vector/bool' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var format = require( '@stdlib/string/format' ); +var pkg = require( './../package.json' ).name; +var dwhere = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( dwhere instanceof Error ) +}; + + +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - ndarray length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var condition; + var cbuf; + var out; + var x; + var y; + + cbuf = bernoulli( len, 0.5, { + 'dtype': 'uint8' + }); + condition = new BooleanVector( cbuf.buffer ); + out = uniform( [ len ], -100.0, 100.0, options ); + x = uniform( [ len ], -100.0, 100.0, options ); + y = uniform( [ len ], -100.0, 100.0, 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 = dwhere( [ condition, x, y, out ] ); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( typeof v !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + 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 = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( format( '%s:len=%d', pkg, len ), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/benchmark/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/benchmark/c/Makefile new file mode 100644 index 000000000000..0756dc7da20a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/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/dwhere/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/benchmark/c/benchmark.length.c new file mode 100644 index 000000000000..a5d160dabaeb --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/benchmark/c/benchmark.length.c @@ -0,0 +1,229 @@ +/** +* @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/dwhere.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 "dwhere" +#define ITERATIONS 1000000 +#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; +} + +/** +* 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[ 4 ]; + enum STDLIB_NDARRAY_ORDER order; + int8_t submodes[ 1 ]; + int64_t strides[ 1 ]; + int64_t strideC[ 1 ]; + int64_t shape[ 1 ]; + int64_t nsubmodes; + struct ndarray *condition; + struct ndarray *out; + struct ndarray *x; + struct ndarray *y; + int64_t offset; + double elapsed; + int64_t ndims; + uint8_t *dataC; + double *dataOut; + double *dataX; + double *dataY; + double t; + int i; + + ndims = 1; + shape[ 0 ] = len; + strides[ 0 ] = STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT; + strideC[ 0 ] = STDLIB_NDARRAY_BOOL_BYTES_PER_ELEMENT; + offset = 0; + order = STDLIB_NDARRAY_ROW_MAJOR; + imode = STDLIB_NDARRAY_INDEX_ERROR; + submodes[ 0 ] = imode; + nsubmodes = 1; + + dataC = (uint8_t *) malloc( len * sizeof( uint8_t ) ); + dataOut = (double *) malloc( len * sizeof( double ) ); + dataX = (double *) malloc( len * sizeof( double ) ); + dataY = (double *) malloc( len * sizeof( double ) ); + if ( dataC == NULL || dataX == NULL || dataY == NULL || dataOut == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + for ( i = 0; i < len; i++ ) { + dataC[ i ] = i % 2; + dataOut[ i ] = 0.0; + dataX[ i ] = random_uniform( -100.0, 100.0 ); + dataY[ i ] = random_uniform( -100.0, 100.0 ); + } + + condition = stdlib_ndarray_allocate( STDLIB_NDARRAY_BOOL, dataC, ndims, shape, strideC, offset, order, imode, nsubmodes, submodes ); + + // cppcheck-suppress invalidPointerCast + out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataOut, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + + // 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 ); + + if ( condition == NULL || x == NULL || y == NULL || out == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + arrays[ 0 ] = condition; + arrays[ 1 ] = x; + arrays[ 2 ] = y; + arrays[ 3 ] = out; + + t = tic(); + for ( i = 0; i < iterations; i++ ) { + stdlib_blas_ext_dwhere( 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( condition ); + stdlib_ndarray_free( out ); + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + free( dataC ); + free( dataOut ); + free( dataX ); + free( dataY ); + arrays[ 0 ] = NULL; + arrays[ 1 ] = NULL; + arrays[ 2 ] = NULL; + arrays[ 3 ] = 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( 10, 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/dwhere/binding.gyp b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/binding.gyp new file mode 100644 index 000000000000..0d6508a12e99 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/binding.gyp @@ -0,0 +1,170 @@ +# @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', + + # 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 + }, # 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/dwhere/examples/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/examples/c/Makefile new file mode 100644 index 000000000000..c8f8e9a1517b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/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/dwhere/examples/c/example.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/examples/c/example.c new file mode 100644 index 000000000000..434a9437fafb --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/examples/c/example.c @@ -0,0 +1,68 @@ +/** +* @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/dwhere.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: + uint8_t dataC[] = { 1, 0, 1, 0, 1 }; + double dataX[] = { 1.0, 2.0, 3.0, 4.0, 5.0 }; + double dataY[] = { 6.0, 7.0, 8.0, 9.0, 10.0 }; + double dataOut[] = { 0.0, 0.0, 0.0, 0.0, 0.0 }; + int64_t shape[] = { 5 }; + int64_t strideC[] = { STDLIB_NDARRAY_BOOL_BYTES_PER_ELEMENT }; + int64_t stride[] = { STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT }; + int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR }; + + // Create ndarrays: + struct ndarray *condition = stdlib_ndarray_allocate( STDLIB_NDARRAY_BOOL, dataC, 1, shape, strideC, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *x = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataX, 1, shape, stride, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *y = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataY, 1, shape, stride, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *out = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataOut, 1, shape, stride, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 1, submodes ); + if ( condition == NULL || x == NULL || y == NULL || out == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + stdlib_ndarray_free( condition ); + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); + exit( 1 ); + } + const struct ndarray *arrays[] = { condition, x, y, out }; + stdlib_blas_ext_dwhere( arrays ); + for ( int i = 0; i < 5; i++ ) { + printf( "out[ %i ] = %lf\n", i, dataOut[ i ] ); + } + stdlib_ndarray_free( condition ); + stdlib_ndarray_free( x ); + stdlib_ndarray_free( y ); + stdlib_ndarray_free( out ); +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/include.gypi b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/include.gypi new file mode 100644 index 000000000000..bee8d41a2caf --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/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 {boolean} whether the ndarrays can use the native interface +*/ +function canUseNative( arrays ) { + var stride; + var offset; + var last; + var data; + var arr; + var N; + var i; + + N = numelDimension( arrays[ 0 ], 0 ); + if ( !isSafeInteger( N ) || N <= 0 ) { + return false; + } + for ( i = 0; i < 4; i++ ) { + arr = arrays[ i ]; + + // Custom serialization hooks are not part of the JavaScript interface. + if ( hasProperty( arr, '__array_meta_dataview__' ) && ( !( arr instanceof ndarray ) || hasOwn( arr, '__array_meta_dataview__' ) ) ) { + return false; + } + if ( ndims( arr ) !== 1 || typeof arr.strides !== 'object' || arr.strides === null ) { + return false; + } + if ( !isSafeInteger( arr.shape[ 0 ] ) || arr.shape[ 0 ] < 0 || ( arr.order !== 'row-major' && arr.order !== 'column-major' ) ) { + return false; + } + data = getData( arr ); + if ( i === 0 ) { + if ( getDType( arr ) !== 'bool' || !isBooleanArray( data ) ) { + return false; + } + } else if ( getDType( arr ) !== 'float64' || !isFloat64Array( data ) ) { + return false; + } + stride = getStride( arr, 0 ); + offset = getOffset( arr ); + last = offset + ( ( N-1 ) * stride ); + if ( !isSafeInteger( stride ) || !isSafeInteger( offset ) || !isSafeInteger( last ) || offset < 0 || offset >= data.length || last < 0 || last >= data.length ) { + return false; + } + } + return true; +} + + +// EXPORTS // + +module.exports = canUseNative; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/lib/index.js index cbece425eda9..e39f73e60a9c 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/lib/index.js +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/lib/index.js @@ -39,9 +39,23 @@ // MODULES // +var join = require( 'path' ).join; +var tryRequire = require( '@stdlib/utils/try-require' ); +var isError = require( '@stdlib/assert/is-error' ); var main = require( './main.js' ); +// MAIN // + +var dwhere; +var tmp = tryRequire( join( __dirname, './native.js' ) ); +if ( isError( tmp ) ) { + dwhere = main; +} else { + dwhere = tmp; +} + + // EXPORTS // -module.exports = main; +module.exports = dwhere; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/lib/native.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/lib/native.js new file mode 100644 index 000000000000..eca3507249da --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/lib/native.js @@ -0,0 +1,98 @@ +/** +* @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 serialize = require( '@stdlib/ndarray/base/serialize-meta-data' ); +var reinterpretBoolean = require( '@stdlib/strided/base/reinterpret-boolean' ); +var getData = require( '@stdlib/ndarray/base/data-buffer' ); +var getDType = require( '@stdlib/ndarray/base/dtype' ); +var getShape = require( '@stdlib/ndarray/base/shape' ); +var getStride = require( '@stdlib/ndarray/base/stride' ); +var getOffset = require( '@stdlib/ndarray/base/offset' ); +var canUseNative = require( './can_use_native.js' ); +var main = require( './main.js' ); +var addon = require( './../src/addon.node' ); + + +// FUNCTIONS // + +/** +* Serializes the current view without using cached or custom metadata. +* +* @private +* @param {ndarrayLike} x - input ndarray +* @returns {DataView} serialized metadata +*/ +function metaData( x ) { + return serialize({ + 'dtype': getDType( x ), + 'shape': getShape( x, false ), + 'strides': [ getStride( x, 0 ) ], + 'offset': getOffset( x ), + 'order': x.order + }); +} + + +// MAIN // + +/** +* Takes elements from one of two one-dimensional double-precision floating-point ndarrays depending on a condition. +* +* @private +* @param {ArrayLikeObject} arrays - array-like object containing ndarrays +* @returns {ndarray} output ndarray +* +* @example +* var BooleanVector = require( '@stdlib/ndarray/vector/bool' ); +* var Float64Vector = require( '@stdlib/ndarray/vector/float64' ); +* +* var condition = new BooleanVector( [ true, false, true ] ); +* var x = new Float64Vector( [ 1.0, 2.0, 3.0 ] ); +* var y = new Float64Vector( [ 4.0, 5.0, 6.0 ] ); +* var out = new Float64Vector( 3 ); +* +* var v = dwhere( [ condition, x, y, out ] ); +* // returns [ 1.0, 5.0, 3.0 ] +*/ +function dwhere( arrays ) { + var condition; + var views; + var out; + var x; + var y; + + condition = arrays[ 0 ]; + x = arrays[ 1 ]; + y = arrays[ 2 ]; + out = arrays[ 3 ]; + views = [ condition, x, y, out ]; + if ( !canUseNative( views ) ) { + return main( views ); + } + addon( reinterpretBoolean( getData( condition ), 0 ), metaData( condition ), getData( x ), metaData( x ), getData( y ), metaData( y ), getData( out ), metaData( out ) ); // eslint-disable-line max-len + return out; +} + + +// EXPORTS // + +module.exports = dwhere; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/manifest.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/manifest.json new file mode 100644 index 000000000000..48987e4617c3 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/manifest.json @@ -0,0 +1,101 @@ +{ + "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/ndarray/ctor", + "@stdlib/ndarray/base/napi/addon-arguments", + "@stdlib/napi/export", + "@stdlib/napi/argv" + ] + }, + { + "task": "benchmark", + "wasm": false, + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@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/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/ndarray/ctor" + ] + } + ] +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/package.json index 9b72b5b1910c..7fe108c65ee8 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/package.json +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/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/dwhere/src/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/src/Makefile new file mode 100644 index 000000000000..2caf905cedbe --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/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/dwhere/src/addon.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/src/addon.c new file mode 100644 index 000000000000..a0f4167c3526 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/src/addon.c @@ -0,0 +1,64 @@ +/** +* @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/dwhere.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, 8 ); + struct ndarray *arrays[ 4 ] = { NULL, NULL, NULL, NULL }; + napi_value err; + napi_status status = stdlib_ndarray_napi_addon_arguments( env, argv, 8, 3, arrays, &err ); + assert( status == napi_ok ); + if ( err != NULL ) { + for ( int i = 0; i < 4; i++ ) { + if ( arrays[ i ] != NULL ) { + stdlib_ndarray_free( arrays[ i ] ); + } + } + status = napi_throw( env, err ); + assert( status == napi_ok ); + return NULL; + } + const struct ndarray *arr[ 4 ] = { + arrays[ 0 ], + arrays[ 1 ], + arrays[ 2 ], + arrays[ 3 ] + }; + stdlib_blas_ext_dwhere( arr ); + for ( int i = 0; i < 4; i++ ) { + stdlib_ndarray_free( arrays[ i ] ); + arrays[ i ] = NULL; + } + return NULL; +} + +STDLIB_NAPI_MODULE_EXPORT_FCN( addon ) diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/src/main.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/src/main.c new file mode 100644 index 000000000000..adc7ed2f08be --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/src/main.c @@ -0,0 +1,65 @@ +/** +* @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/dwhere.h" +#include "stdlib/ndarray/ctor.h" +#include + +/** +* Takes elements from one of two one-dimensional double-precision floating-point ndarrays depending on a condition. +* +* ## Notes +* +* - The function expects a one-dimensional boolean condition ndarray, two one-dimensional input ndarrays, and a one-dimensional output ndarray. +* - A nonzero condition byte selects the first input, matching BooleanArray storage semantics. +* +* @param arrays list containing ndarrays +*/ +void stdlib_blas_ext_dwhere( const struct ndarray *arrays[] ) { + const struct ndarray *condition = arrays[ 0 ]; + const struct ndarray *x = arrays[ 1 ]; + const struct ndarray *y = arrays[ 2 ]; + const struct ndarray *out = arrays[ 3 ]; + const int64_t N = stdlib_ndarray_dimension( condition, 0 ); + if ( N <= 0 ) { + return; + } + const int64_t strideC = stdlib_ndarray_stride_elements( condition, 0 ); + const int64_t strideX = stdlib_ndarray_stride_elements( x, 0 ); + const int64_t strideY = stdlib_ndarray_stride_elements( y, 0 ); + const int64_t strideOut = stdlib_ndarray_stride_elements( out, 0 ); + int64_t ic = stdlib_ndarray_offset_elements( condition ); + int64_t ix = stdlib_ndarray_offset_elements( x ); + int64_t iy = stdlib_ndarray_offset_elements( y ); + int64_t io = stdlib_ndarray_offset_elements( out ); + const uint8_t *dataC = stdlib_ndarray_data( condition ); + 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 ); + for ( int64_t i = 0; i < N; i++ ) { + if ( dataC[ ic ] != 0 ) { + dataOut[ io ] = dataX[ ix ]; + } else { + dataOut[ io ] = dataY[ iy ]; + } + ic += strideC; + ix += strideX; + iy += strideY; + io += strideOut; + } +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.dispatch.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.dispatch.js new file mode 100644 index 000000000000..6fcb75190d2f --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.dispatch.js @@ -0,0 +1,77 @@ +/** +* @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 proxyquire = require( 'proxyquire' ); +var IS_BROWSER = require( '@stdlib/assert/is-browser' ); +var dwhere = require( './../lib' ); + + +// VARIABLES // + +var opts = { + 'skip': IS_BROWSER +}; + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dwhere, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) { + var dwhere = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire + }); + + t.strictEqual( dwhere, mock, 'returns expected value' ); + t.end(); + + function tryRequire() { + return mock; + } + + function mock() { + // Mock... + } +}); + +tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) { + var dwhere; + var main; + + main = require( './../lib/main.js' ); + + dwhere = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire + }); + + t.strictEqual( dwhere, main, 'returns expected value' ); + t.end(); + + function tryRequire() { + return new Error( 'Cannot find module' ); + } +}); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.main.js new file mode 100644 index 000000000000..11421a925716 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.main.js @@ -0,0 +1,412 @@ +/** +* @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 BooleanArray = require( '@stdlib/array/bool' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var dwhere = require( './../lib/main.js' ); + + +// FUNCTIONS // + +/** +* Returns a one-dimensional double-precision floating-point ndarray. +* +* @private +* @param {Float64Array} buffer - underlying data buffer +* @param {NonNegativeInteger} length - number of indexed elements +* @param {integer} stride - stride length +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} one-dimensional ndarray +*/ +function vector( buffer, length, stride, offset ) { + return new ndarray( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + +/** +* Returns a one-dimensional boolean ndarray. +* +* @private +* @param {BooleanArray} buffer - underlying data buffer +* @param {NonNegativeInteger} length - number of indexed elements +* @param {integer} stride - stride length +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} one-dimensional ndarray +*/ +function bvector( buffer, length, stride, offset ) { + return new ndarray( 'bool', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dwhere, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( dwhere.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function selects elements from `x` or `y` based on a condition', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ true, false, true, false, true ] ); + xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + ybuf = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, 1, 0 ); + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + out = vector( obuf, 5, 1, 0 ); + expected = new Float64Array([ + 1.0, // x[0] + 7.0, // y[1] + 3.0, // x[2] + 9.0, // y[3] + 5.0 // x[4] + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function selects elements from `x` or `y` based on a condition (all true)', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ true, true, true, true, true ] ); + xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + ybuf = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, 1, 0 ); + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + out = vector( obuf, 5, 1, 0 ); + expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function selects elements from `x` or `y` based on a condition (all false)', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ false, false, false, false, false ] ); + xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + ybuf = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, 1, 0 ); + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + out = vector( obuf, 5, 1, 0 ); + expected = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having non-unit strides', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray([ + true, // 0 + false, + false, // 1 + true, + true, // 2 + false, + false, // 3 + true + ]); + xbuf = new Float64Array([ + 1.0, // 0 + -2.0, + 3.0, // 1 + -4.0, + 5.0, // 2 + -6.0, + 7.0, // 3 + -8.0 + ]); + ybuf = new Float64Array([ + 11.0, // 0 + -12.0, + 13.0, // 1 + -14.0, + 15.0, // 2 + -16.0, + 17.0, // 3 + -18.0 + ]); + obuf = new Float64Array( [ 0.0, 99.0, 0.0, 99.0, 0.0, 99.0, 0.0, 99.0 ] ); + c = bvector( cbuf, 4, 2, 0 ); + x = vector( xbuf, 4, 2, 0 ); + y = vector( ybuf, 4, 2, 0 ); + out = vector( obuf, 4, 2, 0 ); + expected = new Float64Array([ + 1.0, // x[0] + 99.0, + 13.0, // y[2] + 99.0, + 5.0, // x[4] + 99.0, + 17.0, // y[6] + 99.0 + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having negative strides', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray([ + true, // 4 + false, // 3 + true, // 2 + false, // 1 + true // 0 + ]); + xbuf = new Float64Array([ + 1.0, // 4 + 2.0, // 3 + 3.0, // 2 + 4.0, // 1 + 5.0 // 0 + ]); + ybuf = new Float64Array([ + 6.0, // 4 + 7.0, // 3 + 8.0, // 2 + 9.0, // 1 + 10.0 // 0 + ]); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, -1, 4 ); + x = vector( xbuf, 5, -1, 4 ); + y = vector( ybuf, 5, -1, 4 ); + out = vector( obuf, 5, -1, 4 ); + expected = new Float64Array([ + 1.0, // x[0] + 7.0, // y[1] + 3.0, // x[2] + 9.0, // y[3] + 5.0 // x[4] + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having non-zero offsets', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray([ + false, + false, + true, // 0 + false, // 1 + true, // 2 + false + ]); + xbuf = new Float64Array([ + -1.0, + -2.0, + 3.0, // 0 + 4.0, // 1 + 5.0, // 2 + -6.0 + ]); + ybuf = new Float64Array([ + -11.0, + -12.0, + 13.0, // 0 + 14.0, // 1 + 15.0, // 2 + -16.0 + ]); + obuf = new Float64Array( [ 99.0, 99.0, 0.0, 0.0, 0.0, 99.0 ] ); + c = bvector( cbuf, 3, 1, 2 ); + x = vector( xbuf, 3, 1, 2 ); + y = vector( ybuf, 3, 1, 2 ); + out = vector( obuf, 3, 1, 2 ); + expected = new Float64Array([ + 99.0, + 99.0, + 3.0, // x[2] + 14.0, // y[3] + 5.0, // x[4] + 99.0 + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having different strides and offsets', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ false, true, false, true, false, false ] ); + xbuf = new Float64Array( [ 1.0, 100.0, 2.0, 100.0, 3.0, 100.0, 4.0 ] ); + ybuf = new Float64Array( [ 40.0, 30.0, 20.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 4, -1, 4 ); + x = vector( xbuf, 4, 2, 0 ); + y = vector( ybuf, 4, -1, 3 ); + out = vector( obuf, 4, 3, 1 ); + expected = new Float64Array([ + 0.0, + 10.0, // condition[4] = false => y[3] + 0.0, + 0.0, + 2.0, // condition[3] = true => x[2] + 0.0, + 0.0, + 30.0, // condition[2] = false => y[1] + 0.0, + 0.0, + 4.0, // condition[1] = true => x[6] + 0.0 + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns the output ndarray unchanged when the input ndarrays are empty', function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [] ); + xbuf = new Float64Array( [] ); + ybuf = new Float64Array( [] ); + obuf = new Float64Array( [] ); + c = bvector( cbuf, 0, 1, 0 ); + x = vector( xbuf, 0, 1, 0 ); + y = vector( ybuf, 0, 1, 0 ); + out = vector( obuf, 0, 1, 0 ); + expected = new Float64Array( [] ); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.native.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.native.js new file mode 100644 index 000000000000..17f5df808e8f --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.native.js @@ -0,0 +1,421 @@ +/** +* @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 tryRequire = require( '@stdlib/utils/try-require' ); +var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' ); +var Float64Array = require( '@stdlib/array/float64' ); +var BooleanArray = require( '@stdlib/array/bool' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var dwhere = tryRequire( resolve( __dirname, './../lib/native.js' ) ); + + +// VARIABLES // + +var opts = { + 'skip': ( dwhere instanceof Error ) +}; + + +// FUNCTIONS // + +/** +* Returns a one-dimensional double-precision floating-point ndarray. +* +* @private +* @param {Float64Array} buffer - underlying data buffer +* @param {NonNegativeInteger} length - number of indexed elements +* @param {integer} stride - stride length +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} one-dimensional ndarray +*/ +function vector( buffer, length, stride, offset ) { + return new ndarray( 'float64', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + +/** +* Returns a one-dimensional boolean ndarray. +* +* @private +* @param {BooleanArray} buffer - underlying data buffer +* @param {NonNegativeInteger} length - number of indexed elements +* @param {integer} stride - stride length +* @param {NonNegativeInteger} offset - index offset +* @returns {ndarray} one-dimensional ndarray +*/ +function bvector( buffer, length, stride, offset ) { + return new ndarray( 'bool', buffer, [ length ], [ stride ], offset, 'row-major' ); +} + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dwhere, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', opts, function test( t ) { + t.strictEqual( dwhere.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function selects elements from `x` or `y` based on a condition', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ true, false, true, false, true ] ); + xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + ybuf = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, 1, 0 ); + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + out = vector( obuf, 5, 1, 0 ); + expected = new Float64Array([ + 1.0, // x[0] + 7.0, // y[1] + 3.0, // x[2] + 9.0, // y[3] + 5.0 // x[4] + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function selects elements from `x` or `y` based on a condition (all true)', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ true, true, true, true, true ] ); + xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + ybuf = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, 1, 0 ); + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + out = vector( obuf, 5, 1, 0 ); + expected = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function selects elements from `x` or `y` based on a condition (all false)', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ false, false, false, false, false ] ); + xbuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + ybuf = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, 1, 0 ); + x = vector( xbuf, 5, 1, 0 ); + y = vector( ybuf, 5, 1, 0 ); + out = vector( obuf, 5, 1, 0 ); + expected = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] ); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having non-unit strides', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray([ + true, // 0 + false, + false, // 1 + true, + true, // 2 + false, + false, // 3 + true + ]); + xbuf = new Float64Array([ + 1.0, // 0 + -2.0, + 3.0, // 1 + -4.0, + 5.0, // 2 + -6.0, + 7.0, // 3 + -8.0 + ]); + ybuf = new Float64Array([ + 11.0, // 0 + -12.0, + 13.0, // 1 + -14.0, + 15.0, // 2 + -16.0, + 17.0, // 3 + -18.0 + ]); + obuf = new Float64Array( [ 0.0, 99.0, 0.0, 99.0, 0.0, 99.0, 0.0, 99.0 ] ); + c = bvector( cbuf, 4, 2, 0 ); + x = vector( xbuf, 4, 2, 0 ); + y = vector( ybuf, 4, 2, 0 ); + out = vector( obuf, 4, 2, 0 ); + expected = new Float64Array([ + 1.0, // x[0] + 99.0, + 13.0, // y[2] + 99.0, + 5.0, // x[4] + 99.0, + 17.0, // y[6] + 99.0 + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having negative strides', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray([ + true, // 4 + false, // 3 + true, // 2 + false, // 1 + true // 0 + ]); + xbuf = new Float64Array([ + 1.0, // 4 + 2.0, // 3 + 3.0, // 2 + 4.0, // 1 + 5.0 // 0 + ]); + ybuf = new Float64Array([ + 6.0, // 4 + 7.0, // 3 + 8.0, // 2 + 9.0, // 1 + 10.0 // 0 + ]); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 5, -1, 4 ); + x = vector( xbuf, 5, -1, 4 ); + y = vector( ybuf, 5, -1, 4 ); + out = vector( obuf, 5, -1, 4 ); + expected = new Float64Array([ + 1.0, // x[0] + 7.0, // y[1] + 3.0, // x[2] + 9.0, // y[3] + 5.0 // x[4] + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having non-zero offsets', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray([ + false, + false, + true, // 0 + false, // 1 + true, // 2 + false + ]); + xbuf = new Float64Array([ + -1.0, + -2.0, + 3.0, // 0 + 4.0, // 1 + 5.0, // 2 + -6.0 + ]); + ybuf = new Float64Array([ + -11.0, + -12.0, + 13.0, // 0 + 14.0, // 1 + 15.0, // 2 + -16.0 + ]); + obuf = new Float64Array( [ 99.0, 99.0, 0.0, 0.0, 0.0, 99.0 ] ); + c = bvector( cbuf, 3, 1, 2 ); + x = vector( xbuf, 3, 1, 2 ); + y = vector( ybuf, 3, 1, 2 ); + out = vector( obuf, 3, 1, 2 ); + expected = new Float64Array([ + 99.0, + 99.0, + 3.0, // x[2] + 14.0, // y[3] + 5.0, // x[4] + 99.0 + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports ndarrays having different strides and offsets', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [ false, true, false, true, false, false ] ); + xbuf = new Float64Array( [ 1.0, 100.0, 2.0, 100.0, 3.0, 100.0, 4.0 ] ); + ybuf = new Float64Array( [ 40.0, 30.0, 20.0, 10.0 ] ); + obuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + c = bvector( cbuf, 4, -1, 4 ); + x = vector( xbuf, 4, 2, 0 ); + y = vector( ybuf, 4, -1, 3 ); + out = vector( obuf, 4, 3, 1 ); + expected = new Float64Array([ + 0.0, + 10.0, // condition[4] = false => y[3] + 0.0, + 0.0, + 2.0, // condition[3] = true => x[2] + 0.0, + 0.0, + 30.0, // condition[2] = false => y[1] + 0.0, + 0.0, + 4.0, // condition[1] = true => x[6] + 0.0 + ]); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns the output ndarray unchanged when the input ndarrays are empty', opts, function test( t ) { + var expected; + var actual; + var cbuf; + var obuf; + var xbuf; + var ybuf; + var out; + var c; + var x; + var y; + + cbuf = new BooleanArray( [] ); + xbuf = new Float64Array( [] ); + ybuf = new Float64Array( [] ); + obuf = new Float64Array( [] ); + c = bvector( cbuf, 0, 1, 0 ); + x = vector( xbuf, 0, 1, 0 ); + y = vector( ybuf, 0, 1, 0 ); + out = vector( obuf, 0, 1, 0 ); + expected = new Float64Array( [] ); + + actual = dwhere( [ c, x, y, out ] ); + t.strictEqual( actual, out, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( obuf, expected ), true, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.native.parity.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.native.parity.js new file mode 100644 index 000000000000..b71bcb732443 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dwhere/test/test.native.parity.js @@ -0,0 +1,433 @@ +/** +* @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 proxyquire = require( 'proxyquire' ); +var BooleanArray = require( '@stdlib/array/bool' ); +var Float64Array = require( '@stdlib/array/float64' ); +var Uint8Array = require( '@stdlib/array/uint8' ); +var ArrayBuffer = require( '@stdlib/array/buffer' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var reinterpret = require( '@stdlib/strided/base/reinterpret-boolean' ); +var serialize = require( '@stdlib/ndarray/base/serialize-meta-data' ); +var main = require( './../lib/main.js' ); + + +// VARIABLES // + +var addon = tryRequire( resolve( __dirname, './../src/addon.node' ) ); +var native = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( native instanceof Error || addon instanceof Error ) +}; + + +// FUNCTIONS // + +/** +* Returns a one-dimensional ndarray. +* +* @private +* @param {Collection} data - backing buffer +* @param {NonNegativeInteger} N - length +* @param {integer} stride - stride +* @param {NonNegativeInteger} offset - offset +* @param {string} [dtype='float64'] - dtype +* @returns {ndarray} ndarray +*/ +function vector( data, N, stride, offset, dtype ) { + return new ndarray( dtype || 'float64', data, [ N ], [ stride ], offset, 'row-major' ); +} + +/** +* Returns a wrapper recording actual calls to the compiled addon. +* +* @private +* @returns {Object} instrumented native implementation +*/ +function instrument() { + var count = 0; + var fn = proxyquire( './../lib/native.js', { + './../src/addon.node': spy + }); + return { + 'fn': fn, + 'count': calls + }; + + function spy() { + count += 1; + return addon.apply( null, arguments ); + } + + function calls() { + return count; + } +} + +/** +* Returns a guarded fixture for a set of independent strides. +* +* @private +* @param {IntegerArray} strides - strides +* @returns {Array} fixture +*/ +function fixture( strides ) { + var offset; + var arrays; + var data; + var len; + var s; + var i; + var j; + + arrays = []; + for ( i = 0; i < 4; i++ ) { + s = strides[ i ]; + len = 12; + offset = ( s < 0 ) ? 1 - ( 3*s ) : 1; + if ( i === 0 ) { + data = new Uint8Array( len ); + for ( j = 0; j < len; j++ ) { + data[ j ] = ( j % 3 === 0 ) ? 0 : 255; + } + data = new BooleanArray( data.buffer ); + } else { + data = new Float64Array( len ); + for ( j = 0; j < len; j++ ) { + if ( i === 3 ) { + data[ j ] = 1234.0; + } else if ( i === 1 ) { + data[ j ] = ( 11*j ) + 2.0; + } else { + data[ j ] = -( 7*j ) - 5.0; + } + } + } + arrays.push( vector( data, 4, s, offset, ( i === 0 ) ? 'bool' : 'float64' ) ); + } + return arrays; +} + +/** +* Returns a standard fixture. +* +* @private +* @returns {Array} fixture +*/ +function standard() { + return [ + vector( new BooleanArray( [ true, false, true ] ), 3, 1, 0, 'bool' ), + vector( new Float64Array( [ 10.0, 20.0, 30.0 ] ), 3, 1, 0 ), + vector( new Float64Array( [ 1.0, 2.0, 3.0 ] ), 3, 1, 0 ), + vector( new Float64Array( 3 ), 3, 1, 0 ) + ]; +} + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof native, 'function', 'native export is a function' ); + t.end(); +}); + +tape( 'native selection matches the elementwise operation for independent strides and preserves guards', opts, function test( t ) { + var measured; + var expected; + var strides; + var arrays; + var bytes; + var value; + var index; + var a; + var b; + var c; + var d; + var i; + + measured = instrument(); + strides = [ -3, -1, 0, 1, 2 ]; + for ( a = 0; a < strides.length; a++ ) { + for ( b = 0; b < strides.length; b++ ) { + for ( c = 0; c < strides.length; c++ ) { + for ( d = 0; d < strides.length; d++ ) { + arrays = fixture( [ strides[ a ], strides[ b ], strides[ c ], strides[ d ] ] ); + expected = new Float64Array( arrays[ 3 ].data ); + bytes = reinterpret( arrays[ 0 ].data, 0 ); + for ( i = 0; i < 4; i++ ) { + index = ( bytes[ arrays[ 0 ].offset + ( i*strides[ a ] ) ] ) ? 1 : 2; + value = arrays[ index ].data[ arrays[ index ].offset + ( i*arrays[ index ].strides[ 0 ] ) ]; + expected[ arrays[ 3 ].offset + ( i*strides[ d ] ) ] = value; + } + t.strictEqual( measured.fn( arrays ), arrays[ 3 ], 'returns the same output' ); + t.deepEqual( arrays[ 3 ].data, expected, 'selects expected elements and preserves guards' ); + } + } + } + } + t.strictEqual( measured.count(), 625, 'every typed stride fixture invokes the compiled addon' ); + t.end(); +}); + +tape( 'native selection preserves BooleanArray byte views and independent float64 byte offsets', opts, function test( t ) { + var measured; + var arrays; + var cbytes; + var obuf; + var xbuf; + var ybuf; + + measured = instrument(); + cbytes = new Uint8Array( [ 99, 0, 2, 255, 0, 1, 99 ] ); + xbuf = new Float64Array( [ 999.0, 10.0, 20.0, 30.0, 40.0, 50.0, 999.0 ] ); + ybuf = new Float64Array( [ 999.0, 1.0, 2.0, 3.0, 4.0, 5.0, 999.0 ] ); + obuf = new Float64Array( [ 999.0, 0.0, 0.0, 0.0, 0.0, 0.0, 999.0 ] ); + arrays = [ + vector( new BooleanArray( cbytes.buffer, 1, 5 ), 5, 1, 0, 'bool' ), + vector( xbuf.subarray( 1, 6 ), 5, 1, 0 ), + vector( ybuf.subarray( 1, 6 ), 5, 1, 0 ), + vector( obuf.subarray( 1, 6 ), 5, 1, 0 ) + ]; + t.strictEqual( measured.fn( arrays ), arrays[ 3 ], 'returns the original output view' ); + t.deepEqual( obuf, new Float64Array( [ 999.0, 1.0, 20.0, 30.0, 4.0, 50.0, 999.0 ] ), 'uses nonzero truthiness and preserves float64 guards' ); + t.deepEqual( cbytes, new Uint8Array( [ 99, 0, 2, 255, 0, 1, 99 ] ), 'does not modify condition bytes' ); + t.strictEqual( measured.count(), 1, 'byte-view fixture invokes the compiled addon' ); + t.end(); +}); + +tape( 'native selection copies special values from only the selected input', opts, function test( t ) { + var arrays = [ + vector( new BooleanArray( [ true, false, true, false, true ] ), 5, 1, 0, 'bool' ), + vector( new Float64Array( [ NaN, NaN, Infinity, NaN, -0.0 ] ), 5, 1, 0 ), + vector( new Float64Array( [ NaN, -Infinity, NaN, 0.0, NaN ] ), 5, 1, 0 ), + vector( new Float64Array( 5 ), 5, 1, 0 ) + ]; + native( arrays ); + t.ok( arrays[ 3 ].data[ 0 ] !== arrays[ 3 ].data[ 0 ], 'copies selected NaN' ); + t.strictEqual( arrays[ 3 ].data[ 1 ], -Infinity, 'copies negative infinity' ); + t.strictEqual( arrays[ 3 ].data[ 2 ], Infinity, 'copies positive infinity' ); + t.strictEqual( 1.0/arrays[ 3 ].data[ 3 ], Infinity, 'copies positive zero' ); + t.strictEqual( 1.0/arrays[ 3 ].data[ 4 ], -Infinity, 'copies negative zero' ); + t.end(); +}); + +tape( 'native selection preserves in-place and shifted-overlap JavaScript behavior', opts, function test( t ) { + var expected; + var actual; + var shift; + var slot; + + for ( slot = 1; slot <= 2; slot++ ) { + expected = standard(); + actual = standard(); + expected[ 3 ] = expected[ slot ]; + actual[ 3 ] = actual[ slot ]; + main( expected ); + t.strictEqual( native( actual ), actual[ 3 ], 'returns the aliased output' ); + t.deepEqual( actual[ 3 ].data, expected[ 3 ].data, 'matches in-place JavaScript behavior' ); + } + for ( shift = 0; shift <= 1; shift++ ) { + expected = standard(); + actual = standard(); + expected[ 1 ] = vector( new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] ), 3, 1, shift ); + actual[ 1 ] = vector( new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] ), 3, 1, shift ); + expected[ 3 ] = vector( expected[ 1 ].data, 3, 1, 1-shift ); + actual[ 3 ] = vector( actual[ 1 ].data, 3, 1, 1-shift ); + main( expected ); + native( actual ); + t.deepEqual( actual[ 3 ].data, expected[ 3 ].data, 'matches shifted overlapping JavaScript views' ); + } + t.end(); +}); + +tape( 'native selection reads aliased condition bytes during iteration', opts, function test( t ) { + var measured; + var buffer; + var arrays; + var bytes; + + measured = instrument(); + buffer = new ArrayBuffer( 32 ); + bytes = new Uint8Array( buffer ); + bytes.set( [ 1, 1, 0, 1 ] ); + arrays = [ + vector( new BooleanArray( buffer, 0, 4 ), 4, 1, 0, 'bool' ), + vector( new Float64Array( [ 1.0, 2.0, 3.0, 4.0 ] ), 4, 1, 0 ), + vector( new Float64Array( [ 10.0, 20.0, 30.0, 40.0 ] ), 4, 1, 0 ), + vector( new Float64Array( buffer ), 4, 1, 0 ) + ]; + measured.fn( arrays ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 1.0, 20.0, 30.0, 40.0 ] ), 'later condition reads reflect earlier output writes' ); + t.strictEqual( measured.count(), 1, 'aliased bytes invoke the compiled addon' ); + t.end(); +}); + +tape( 'native dispatch supports ndarray-like and array-like objects', opts, function test( t ) { + var measured; + var arrays; + var arg; + var i; + + measured = instrument(); + arrays = standard(); + for ( i = 0; i < arrays.length; i++ ) { + arrays[ i ] = { + 'dtype': arrays[ i ].dtype, + 'data': arrays[ i ].data, + 'shape': [ 3 ], + 'strides': [ 1 ], + 'offset': 0, + 'order': 'column-major' + }; + } + arg = { + '0': arrays[ 0 ], + '1': arrays[ 1 ], + '2': arrays[ 2 ], + '3': arrays[ 3 ], + 'length': 4 + }; + t.strictEqual( measured.fn( arg ), arrays[ 3 ], 'returns original ndarray-like output' ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 10.0, 2.0, 30.0 ] ), 'selects expected elements' ); + t.strictEqual( measured.count(), 1, 'typed ndarray-like objects invoke compiled addon' ); + t.end(); +}); + +tape( 'native dispatch retains accepted non-native buffers and metadata through JavaScript fallback', opts, function test( t ) { + var measured; + var arrays; + var i; + + measured = instrument(); + arrays = standard(); + for ( i = 1; i < 4; i++ ) { + arrays[ i ] = vector( [ i, i+1, i+2 ], 3, 1, 0 ); + } + t.strictEqual( measured.fn( arrays ), arrays[ 3 ], 'returns original ordinary-array output' ); + t.deepEqual( arrays[ 3 ].data, [ 1, 3, 3 ], 'preserves accepted ordinary backing arrays' ); + arrays = standard(); + arrays[ 1 ] = vector( new Uint8Array( [ 10, 20, 30 ] ), 3, 1, 0 ); + measured.fn( arrays ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 10.0, 2.0, 30.0 ] ), 'preserves accepted non-float64 backing buffers' ); + arrays = standard(); + arrays[ 1 ] = vector( arrays[ 1 ].data, 3, 1, 0, 'generic' ); + measured.fn( arrays ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 10.0, 2.0, 30.0 ] ), 'preserves accepted generic metadata' ); + arrays = standard(); + arrays[ 1 ] = { + 'dtype': 'float64', + 'data': arrays[ 1 ].data, + 'shape': [ 3 ] + }; + measured.fn( arrays ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 10.0, 2.0, 30.0 ] ), 'preserves inferred stride, offset and order' ); + t.strictEqual( measured.count(), 0, 'non-native compatibility cases do not invoke addon' ); + t.end(); +}); + +tape( 'native dispatch preserves JavaScript handling of serialization hooks', opts, function test( t ) { + var measured; + var arrays; + var calls; + + measured = instrument(); + calls = 0; + arrays = standard(); + arrays[ 1 ] = { + 'dtype': 'float64', + 'data': arrays[ 1 ].data, + 'shape': [ 3 ], + 'strides': [ 1 ], + 'offset': 0, + 'order': 'row-major', + '__array_meta_dataview__': hook + }; + measured.fn( arrays ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 10.0, 2.0, 30.0 ] ), 'preserves JavaScript result' ); + t.strictEqual( calls, 0, 'does not invoke custom serialization hooks' ); + t.strictEqual( measured.count(), 0, 'uses JavaScript compatibility path' ); + t.end(); + + function hook() { + calls += 1; + throw new Error( 'This hook is not part of the selection contract.' ); + } +}); + +tape( 'native selection uses current view metadata after previous serialization', opts, function test( t ) { + var measured; + var strides; + var arrays; + + measured = instrument(); + arrays = standard(); + strides = [ 1 ]; + arrays[ 1 ] = new ndarray( 'float64', new Float64Array( [ 10.0, 20.0, 30.0 ] ), [ 3 ], strides, 0, 'row-major' ); + serialize( arrays[ 1 ] ); + strides[ 0 ] = 0; + measured.fn( arrays ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 10.0, 2.0, 10.0 ] ), 'uses current stride instead of cached serialized metadata' ); + t.strictEqual( measured.count(), 1, 'uses native implementation for changed typed views' ); + t.end(); +}); + +tape( 'native dispatch retains zero-dimensional errors, including empty input combinations', opts, function test( t ) { + var measured; + var arrays; + var data; + var i; + + measured = instrument(); + for ( i = 0; i < 4; i++ ) { + arrays = standard(); + data = ( i === 0 ) ? new BooleanArray( [ true ] ) : new Float64Array( [ 1.0 ] ); + arrays[ i ] = new ndarray( ( i === 0 ) ? 'bool' : 'float64', data, [], [ 0 ], 0, 'row-major' ); + t.throws( invoke, /First argument must be an ndarray having one or more dimensions/, 'retains the zero-dimensional error' ); + } + arrays = standard(); + arrays[ 0 ] = vector( new BooleanArray( 0 ), 0, 1, 0, 'bool' ); + arrays[ 1 ] = new ndarray( 'float64', new Float64Array( [ 1.0 ] ), [], [ 0 ], 0, 'row-major' ); + t.throws( invoke, /First argument must be an ndarray having one or more dimensions/, 'validates scalar inputs before empty no-op' ); + t.strictEqual( measured.count(), 0, 'zero-dimensional inputs never enter native interface' ); + t.end(); + + function invoke() { + measured.fn( arrays ); + } +}); + +tape( 'compiled addon performs an empty no-op on documented typed buffers', opts, function test( t ) { + var arrays = [ + vector( new BooleanArray( 0 ), 0, 1, 0, 'bool' ), + vector( new Float64Array( 0 ), 0, 1, 0 ), + vector( new Float64Array( 0 ), 0, 1, 0 ), + vector( new Float64Array( [ 1234.0 ] ), 0, 1, 0 ) + ]; + addon( reinterpret( arrays[ 0 ].data, 0 ), serialize( arrays[ 0 ] ), arrays[ 1 ].data, serialize( arrays[ 1 ] ), arrays[ 2 ].data, serialize( arrays[ 2 ] ), arrays[ 3 ].data, serialize( arrays[ 3 ] ) ); + t.strictEqual( native( arrays ), arrays[ 3 ], 'returns original output for empty input' ); + t.deepEqual( arrays[ 3 ].data, new Float64Array( [ 1234.0 ] ), 'does not mutate output' ); + t.end(); +});