diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/README.md index 4432abd3bec4..7bc3aaf6471e 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/README.md +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/README.md @@ -114,6 +114,188 @@ console.log( ndarray2array( out ) ); + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/blas/ext/base/ndarray/dtril.h" +``` + +#### stdlib_blas_ext_dtril( arrays ) + +Copies the lower triangular part of a double-precision floating-point matrix `A` to another matrix `B`. + +```c +#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 + +// Create data buffers: +double dataA[] = { 1.0, 2.0, 3.0, 4.0 }; +double dataB[] = { 0.0, 0.0, 0.0, 0.0 }; + +// Specify the array shape: +int64_t shape[] = { 2, 2 }; + +// Specify the array strides: +int64_t strides[] = { 2 * STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT, STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT }; + +// Specify the subscript index modes: +int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR, STDLIB_NDARRAY_INDEX_ERROR }; + +// Create ndarrays for A and B: +struct ndarray *A = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataA, 2, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 2, submodes ); +struct ndarray *B = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataB, 2, shape, strides, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 2, submodes ); + +// Create a scalar ndarray for the diagonal offset `k`: +int64_t k = 0; +struct ndarray *k_arr = stdlib_ndarray_allocate( STDLIB_NDARRAY_INT64, (uint8_t *)&k, 0, NULL, NULL, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 0, NULL ); + +// Extract lower triangular part: +const struct ndarray *arrays[] = { A, B, k_arr }; +stdlib_blas_ext_dtril( arrays ); +// dataB => { 1.0, 0.0, 3.0, 4.0 } + +// Free allocated memory: +stdlib_ndarray_free( A ); +stdlib_ndarray_free( B ); +stdlib_ndarray_free( k_arr ); +``` + +The function accepts the following arguments: + +- **arrays**: `[in] struct ndarray**` list containing a two-dimensional input ndarray `A`, a two-dimensional output ndarray `B`, and a zero-dimensional scalar ndarray `k`. + +```c +void stdlib_blas_ext_dtril( const struct ndarray *arrays[] ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/blas/ext/base/ndarray/dtril.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: + double dataA[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 }; + double dataB[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; + + // Specify the number of array dimensions: + const int64_t ndims = 2; + + // Specify the array shape: + int64_t shape[] = { 3, 3 }; + + // Specify the array strides: + int64_t strides[] = { 3*STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT, STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT }; + + // Specify the byte offset: + const int64_t offset = 0; + + // Specify the array order: + const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR; + + // Specify the index mode: + const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR; + + // Specify the subscript index modes: + int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR, STDLIB_NDARRAY_INDEX_ERROR }; + const int64_t nsubmodes = 2; + + // Create ndarrays for A and B: + struct ndarray *A = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataA, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + struct ndarray *B = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataB, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + + if ( A == NULL || B == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + + // Create a scalar ndarray for the diagonal offset `k`: + int64_t k = 0; + struct ndarray *k_arr = stdlib_ndarray_allocate( STDLIB_NDARRAY_INT64, (uint8_t *)&k, 0, NULL, NULL, 0, order, imode, 0, NULL ); + + if ( k_arr == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + + // Define a list of ndarrays: + const struct ndarray *arrays[] = { A, B, k_arr }; + + // Extract lower triangular part of A to B: + stdlib_blas_ext_dtril( arrays ); + + // Print the result: + int64_t M = shape[ 0 ]; + int64_t N = shape[ 1 ]; + for ( int i = 0; i < M; i++ ) { + for ( int j = 0; j < N; j++ ) { + printf( "B[ %i,%i ] = %lf\n", i, j, dataB[ (i*N)+j ] ); + } + } + + // Free allocated memory: + stdlib_ndarray_free( A ); + stdlib_ndarray_free( B ); + stdlib_ndarray_free( k_arr ); +} +``` + +
+ + + +
+ + +
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/benchmark.js index 69e70695d24e..5b9714871450 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/benchmark.js @@ -27,7 +27,7 @@ var pow = require( '@stdlib/math/base/special/pow' ); var format = require( '@stdlib/string/format' ); var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); var pkg = require( './../package.json' ).name; -var dtril = require( './../lib' ); +var dtril = require( './../lib/main.js' ); // VARIABLES // diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/benchmark.native.js new file mode 100644 index 000000000000..c62aaeb93bbe --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/benchmark.native.js @@ -0,0 +1,115 @@ +/** +* @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 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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dtril = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( dtril instanceof Error ) +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} N - number of elements along each dimension +* @returns {Function} benchmark function +*/ +function createBenchmark( N ) { + var A = uniform( [ N, N ], -100.0, 100.0, options ); + var B = uniform( [ N, N ], -100.0, 100.0, options ); + + var k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + + return benchmark; + + /** + * Benchmark function. + * + * @private + * @param {Benchmark} b - benchmark instance + */ + function benchmark( b ) { + var out; + var i; + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + out = dtril( [ A, B, k ] ); + if ( typeof out !== 'object' ) { + b.fail( 'should return an ndarray' ); + } + } + b.toc(); + if ( isnan( out.get( i%N, i%N ) ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var min; + var max; + var N; + var f; + var i; + + min = 1; // 10^min + max = 3; // 10^max + + for ( i = min; i <= max; i++ ) { + N = pow( 10, i ); + f = createBenchmark( N ); + bench( format( '%s::native:size=%d', pkg, N*N ), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/c/Makefile new file mode 100644 index 000000000000..0756dc7da20a --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/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/dtril/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/c/benchmark.length.c new file mode 100644 index 000000000000..f48daa8102c7 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/benchmark/c/benchmark.length.c @@ -0,0 +1,204 @@ +/** +* @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/dtril.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 "dtril" +#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 [0,1). +* +* @return random number +*/ +static double rand_double( void ) { + int r = rand(); + return (double)r / ( (double)RAND_MAX + 1.0 ); +} + +/** +* Runs a benchmark. +* +* @param iterations number of iterations +* @param N matrix dimension size (N x N) +* @return elapsed time in seconds +*/ +static double benchmark( int iterations, int N ) { + enum STDLIB_NDARRAY_INDEX_MODE imode; + const struct ndarray *arrays[ 3 ]; + enum STDLIB_NDARRAY_ORDER order; + struct ndarray *k_arr; + int64_t strides[ 2 ]; + int8_t submodes[ 2 ]; + int64_t shape[ 2 ]; + int64_t nsubmodes; + struct ndarray *B; + struct ndarray *A; + int len = N * N; + int64_t offset; + double elapsed; + int64_t *dataK; + double *dataB; + double *dataA; + int64_t ndims; + double t; + int i; + + ndims = 2; + shape[ 0 ] = N; + shape[ 1 ] = N; + strides[ 0 ] = (int64_t)N * STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT; + strides[ 1 ] = STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT; + offset = 0; + order = STDLIB_NDARRAY_ROW_MAJOR; + imode = STDLIB_NDARRAY_INDEX_ERROR; + submodes[ 0 ] = imode; + submodes[ 1 ] = imode; + nsubmodes = 2; + + dataA = (double *) malloc( len * sizeof( double ) ); + dataB = (double *) malloc( len * sizeof( double ) ); + for ( i = 0; i < len; i++ ) { + dataA[ i ] = ( rand_double() * 200.0 ) - 100.0; + dataB[ i ] = ( rand_double() * 200.0 ) - 100.0; + } + + // cppcheck-suppress invalidPointerCast + A = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataA, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + // cppcheck-suppress invalidPointerCast + B = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataB, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + + arrays[ 0 ] = A; + arrays[ 1 ] = B; + + dataK = (int64_t *) malloc( sizeof( int64_t ) ); + dataK[ 0 ] = 0; + // cppcheck-suppress invalidPointerCast + k_arr = stdlib_ndarray_allocate( STDLIB_NDARRAY_INT64, (uint8_t *)dataK, 0, NULL, NULL, 0, order, imode, 0, NULL ); + + arrays[ 2 ] = k_arr; + + t = tic(); + for ( i = 0; i < iterations; i++ ) { + stdlib_blas_ext_dtril( arrays ); + } + elapsed = tic() - t; + + stdlib_ndarray_free( A ); + stdlib_ndarray_free( B ); + stdlib_ndarray_free( k_arr ); + free( dataA ); + free( dataB ); + free( dataK ); + + return elapsed; +} + +/** +* Main execution sequence. +*/ +int main( void ) { + double elapsed; + int count; + int iter; + int len; + int N; + int i; + int j; + + // Use the current time to seed the random number generator: + srand( time( NULL ) ); + + print_version(); + count = 0; + for ( i = MIN; i <= MAX; i++ ) { + len = pow( 10, i ); + N = (int)sqrt( (double)len ); + iter = ITERATIONS / pow( 10, i-1 ); + for ( j = 0; j < REPEATS; j++ ) { + count += 1; + printf( "# c::%s:size=%d\n", NAME, len ); + elapsed = benchmark( iter, N ); + print_results( iter, elapsed ); + printf( "ok %d benchmark finished\n", count ); + } + } + print_summary( count, count ); +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/binding.gyp b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/binding.gyp new file mode 100644 index 000000000000..0d6508a12e99 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/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/dtril/examples/c/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/examples/c/Makefile new file mode 100644 index 000000000000..c8f8e9a1517b --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/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/dtril/examples/c/example.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/examples/c/example.c new file mode 100644 index 000000000000..58c027c9e2a4 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/examples/c/example.c @@ -0,0 +1,97 @@ +/** +* @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/dtril.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: + double dataA[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 }; + double dataB[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 }; + + // Specify the number of array dimensions: + const int64_t ndims = 2; + + // Specify the array shape: + int64_t shape[] = { 3, 3 }; + + // Specify the array strides: + int64_t strides[] = { 3*STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT, STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT }; + + // Specify the byte offset: + const int64_t offset = 0; + + // Specify the array order: + const enum STDLIB_NDARRAY_ORDER order = STDLIB_NDARRAY_ROW_MAJOR; + + // Specify the index mode: + const enum STDLIB_NDARRAY_INDEX_MODE imode = STDLIB_NDARRAY_INDEX_ERROR; + + // Specify the subscript index modes: + int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR, STDLIB_NDARRAY_INDEX_ERROR }; + const int64_t nsubmodes = 2; + + // Create ndarrays for A and B: + // cppcheck-suppress invalidPointerCast + struct ndarray *A = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataA, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + + // cppcheck-suppress invalidPointerCast + struct ndarray *B = stdlib_ndarray_allocate( STDLIB_NDARRAY_FLOAT64, (uint8_t *)dataB, ndims, shape, strides, offset, order, imode, nsubmodes, submodes ); + + if ( A == NULL || B == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + + // Create a scalar ndarray for the diagonal offset `k`: + int64_t k = 0; + // cppcheck-suppress invalidPointerCast + struct ndarray *k_arr = stdlib_ndarray_allocate( STDLIB_NDARRAY_INT64, (uint8_t *)&k, 0, NULL, NULL, 0, order, imode, 0, NULL ); + + if ( k_arr == NULL ) { + fprintf( stderr, "Error allocating memory.\n" ); + exit( 1 ); + } + + // Define a list of ndarrays: + const struct ndarray *arrays[] = { A, B, k_arr }; + + // Extract lower triangular part of A to B: + stdlib_blas_ext_dtril( arrays ); + + // Print the result: + int64_t M = shape[ 0 ]; + int64_t N = shape[ 1 ]; + for ( int i = 0; i < M; i++ ) { + for ( int j = 0; j < N; j++ ) { + printf( "B[ %i,%i ] = %lf\n", i, j, dataB[ (i*N)+j ] ); + } + } + + // Free allocated memory: + stdlib_ndarray_free( A ); + stdlib_ndarray_free( B ); + stdlib_ndarray_free( k_arr ); +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/include.gypi b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/include.gypi new file mode 100644 index 000000000000..bee8d41a2caf --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/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 Float64Matrix = require( '@stdlib/ndarray/matrix/float64' ); +* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +* +* var A = new Float64Matrix( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ); +* var B = new Float64Matrix( [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ); +* +* var k = scalar2ndarray( 0, { +* 'dtype': 'generic' +* }); +* +* var out = dtril( [ A, B, k ] ); +* // returns [ [ 1.0, 0.0 ], [ 3.0, 4.0 ] ] +* +* var bool = ( out === B ); +* // returns true +*/ +function dtril( arrays ) { + var A = arrays[ 0 ]; + var B = arrays[ 1 ]; + var k = ndarraylike2scalar( arrays[ 2 ] ); + addon( getData( A ), serialize( A ), getData( B ), serialize( B ), k ); + return B; +} + + +// EXPORTS // + +module.exports = dtril; diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/manifest.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/manifest.json new file mode 100644 index 000000000000..6a78e1f3c010 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/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/dtril", + "@stdlib/ndarray/ctor", + "@stdlib/ndarray/base/napi/addon-arguments", + "@stdlib/napi/export", + "@stdlib/napi/argv", + "@stdlib/napi/argv-int64" + ] + }, + { + "task": "benchmark", + "wasm": false, + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/blas/base/shared", + "@stdlib/blas/ext/base/dtril", + "@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/dtril", + "@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/dtril", + "@stdlib/ndarray/ctor" + ] + } + ] +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/package.json index c2ba0a785eef..e570d652b837 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/package.json +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/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/dtril/src/Makefile b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/src/Makefile new file mode 100644 index 000000000000..2caf905cedbe --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/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/dtril/src/addon.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/src/addon.c new file mode 100644 index 000000000000..fe93f59b8082 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/src/addon.c @@ -0,0 +1,81 @@ +/** +* @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/dtril.h" +#include "stdlib/ndarray/ctor.h" +#include "stdlib/ndarray/base/napi/addon_arguments.h" +#include "stdlib/napi/export.h" +#include "stdlib/napi/argv_int64.h" +#include "stdlib/napi/argv.h" +#include "stdlib/ndarray/index_modes.h" +#include "stdlib/ndarray/orders.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, 5 ); + + // Process provided arguments: + struct ndarray *arrays[ 2 ]; + napi_value err; + napi_status status = stdlib_ndarray_napi_addon_arguments( env, argv, 4, 2, arrays, &err ); + assert( status == napi_ok ); + if ( err != NULL ) { + status = napi_throw( env, err ); + assert( status == napi_ok ); + return NULL; + } + + STDLIB_NAPI_ARGV_INT64( env, k, argv, 4 ); + + // Create a scalar ndarray for the diagonal offset `k`: + struct ndarray *k_arr = stdlib_ndarray_allocate( STDLIB_NDARRAY_INT64, (uint8_t *)&k, 0, NULL, NULL, 0, STDLIB_NDARRAY_ROW_MAJOR, STDLIB_NDARRAY_INDEX_ERROR, 0, NULL ); + if ( k_arr == NULL ) { + stdlib_ndarray_free( arrays[ 0 ] ); + stdlib_ndarray_free( arrays[ 1 ] ); + status = napi_throw_error( env, NULL, "memory allocation error" ); + 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 ], + k_arr + }; + + // Perform computation: + stdlib_blas_ext_dtril( arr ); + + // Free allocated memory: + stdlib_ndarray_free( arrays[ 0 ] ); + stdlib_ndarray_free( arrays[ 1 ] ); + stdlib_ndarray_free( k_arr ); + + return NULL; +} + +STDLIB_NAPI_MODULE_EXPORT_FCN( addon ) diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/src/main.c b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/src/main.c new file mode 100644 index 000000000000..09ef3ae6b5ca --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/src/main.c @@ -0,0 +1,41 @@ +/** +* @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/dtril.h" +#include "stdlib/blas/ext/base/dtril.h" +#include "stdlib/ndarray/ctor.h" +#include "stdlib/blas/base/shared.h" + +/** +* Copies the lower triangular part of a double-precision floating-point matrix to another matrix. +* +* @param arrays list containing input and output ndarrays +*/ +void stdlib_blas_ext_dtril( const struct ndarray *arrays[] ) { + const struct ndarray *A = arrays[ 0 ]; + const struct ndarray *B = arrays[ 1 ]; + const struct ndarray *k_arr = arrays[ 2 ]; + + CBLAS_INT M = stdlib_ndarray_dimension( A, 0 ); + CBLAS_INT N = stdlib_ndarray_dimension( A, 1 ); + + // Extract the scalar diagonal offset: + CBLAS_INT k = (CBLAS_INT)*(int64_t *)stdlib_ndarray_data( k_arr ); + + API_SUFFIX(stdlib_strided_dtril_ndarray)( M, N, k, (const double *)stdlib_ndarray_data( A ), stdlib_ndarray_stride_elements( A, 0 ), stdlib_ndarray_stride_elements( A, 1 ), stdlib_ndarray_offset_elements( A ), (double *)stdlib_ndarray_data( B ), stdlib_ndarray_stride_elements( B, 0 ), stdlib_ndarray_stride_elements( B, 1 ), stdlib_ndarray_offset_elements( B ) ); +} diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.js index 1b9b338db094..6e144de3e398 100644 --- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.js +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.js @@ -21,31 +21,16 @@ // MODULES // var tape = require( 'tape' ); -var isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' ); -var Float64Array = require( '@stdlib/array/float64' ); -var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); -var ndarray = require( '@stdlib/ndarray/base/ctor' ); -var getData = require( '@stdlib/ndarray/data-buffer' ); +var proxyquire = require( 'proxyquire' ); +var IS_BROWSER = require( '@stdlib/assert/is-browser' ); var dtril = require( './../lib' ); -// FUNCTIONS // +// VARIABLES // -/** -* 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' ); -} +var opts = { + 'skip': IS_BROWSER +}; // TESTS // @@ -56,182 +41,37 @@ tape( 'main export is a function', function test( t ) { t.end(); }); -tape( 'the function has an arity of 1', function test( t ) { - t.strictEqual( dtril.length, 1, 'has expected arity' ); - t.end(); -}); - -tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k=0)', function test( t ) { - var expected; - var Abuf; - var Bbuf; - var A; - var B; - var k; - var v; - - Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); - Bbuf = new Float64Array( 9 ); - A = matrix( Abuf, 3, 3, 3, 1, 0 ); - B = matrix( Bbuf, 3, 3, 3, 1, 0 ); - - k = scalar2ndarray( 0, { - 'dtype': 'generic' - }); - v = dtril( [ A, B, k ] ); - - expected = new Float64Array( [ 1.0, 0.0, 0.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0 ] ); - t.strictEqual( v, B, 'returns expected value' ); - t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); - t.end(); -}); - -tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k>0)', function test( t ) { - var expected; - var Abuf; - var Bbuf; - var A; - var B; - var k; - var v; - - Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); - Bbuf = new Float64Array( 9 ); - A = matrix( Abuf, 3, 3, 3, 1, 0 ); - B = matrix( Bbuf, 3, 3, 3, 1, 0 ); - - k = scalar2ndarray( 1, { - 'dtype': 'generic' - }); - v = dtril( [ A, B, k ] ); - - expected = new Float64Array( [ 1.0, 2.0, 0.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); - t.strictEqual( v, B, 'returns expected value' ); - t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); - t.end(); -}); - -tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k<0)', function test( t ) { - var expected; - var Abuf; - var Bbuf; - var A; - var B; - var k; - var v; - - Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); - Bbuf = new Float64Array( 9 ); - A = matrix( Abuf, 3, 3, 3, 1, 0 ); - B = matrix( Bbuf, 3, 3, 3, 1, 0 ); - - k = scalar2ndarray( -1, { - 'dtype': 'generic' +tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) { + var dtril = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire }); - v = dtril( [ A, B, k ] ); - expected = new Float64Array( [ 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 7.0, 8.0, 0.0 ] ); - t.strictEqual( v, B, 'returns expected value' ); - t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.strictEqual( dtril, mock, 'returns expected value' ); t.end(); -}); -tape( 'the function copies the lower triangular part of a two-dimensional ndarray (column-major, k=0)', function test( t ) { - var expected; - var Abuf; - var Bbuf; - var A; - var B; - var k; - var v; - - Abuf = new Float64Array( [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ] ); - Bbuf = new Float64Array( 9 ); - A = matrix( Abuf, 3, 3, 1, 3, 0 ); - B = matrix( Bbuf, 3, 3, 1, 3, 0 ); - - k = scalar2ndarray( 0, { - 'dtype': 'generic' - }); - v = dtril( [ A, B, k ] ); + function tryRequire() { + return mock; + } - expected = new Float64Array( [ 1.0, 4.0, 7.0, 0.0, 5.0, 8.0, 0.0, 0.0, 9.0 ] ); - t.strictEqual( v, B, 'returns expected value' ); - t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); - t.end(); + function mock() { + // Mock... + } }); -tape( 'the function supports non-square matrices (row-major)', function test( t ) { - var expected; - var Abuf; - var Bbuf; - var A; - var B; - var k; - var v; - - Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); - Bbuf = new Float64Array( 6 ); - A = matrix( Abuf, 2, 3, 3, 1, 0 ); - B = matrix( Bbuf, 2, 3, 3, 1, 0 ); - - k = scalar2ndarray( 0, { - 'dtype': 'generic' - }); - v = dtril( [ A, B, k ] ); +tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) { + var dtril; + var main; - expected = new Float64Array( [ 1.0, 0.0, 0.0, 4.0, 5.0, 0.0 ] ); - t.strictEqual( v, B, 'returns expected value' ); - t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); - t.end(); -}); + main = require( './../lib/main.js' ); -tape( 'the function supports ndarrays having non-zero offsets', function test( t ) { - var expected; - var Abuf; - var Bbuf; - var A; - var B; - var k; - var v; - - Abuf = new Float64Array( [ 99.0, 1.0, 2.0, 3.0, 4.0 ] ); - Bbuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); - A = matrix( Abuf, 2, 2, 2, 1, 1 ); - B = matrix( Bbuf, 2, 2, 2, 1, 1 ); - - k = scalar2ndarray( 0, { - 'dtype': 'generic' + dtril = proxyquire( './../lib', { + '@stdlib/utils/try-require': tryRequire }); - v = dtril( [ A, B, k ] ); - expected = new Float64Array( [ 0.0, 1.0, 0.0, 3.0, 4.0 ] ); - t.strictEqual( v, B, 'returns expected value' ); - t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.strictEqual( dtril, main, 'returns expected value' ); t.end(); -}); -tape( 'the function leaves elements outside of the copied region unchanged', function test( t ) { - var expected; - var Abuf; - var Bbuf; - var A; - var B; - var k; - var v; - - Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); - Bbuf = new Float64Array( [ -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0 ] ); - A = matrix( Abuf, 3, 3, 3, 1, 0 ); - B = matrix( Bbuf, 3, 3, 3, 1, 0 ); - - k = scalar2ndarray( 0, { - 'dtype': 'generic' - }); - v = dtril( [ A, B, k ] ); - - expected = new Float64Array( [ 1.0, -1.0, -1.0, 4.0, 5.0, -1.0, 7.0, 8.0, 9.0 ] ); - t.strictEqual( v, B, 'returns expected value' ); - t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); - t.end(); + function tryRequire() { + return new Error( 'Cannot find module' ); + } }); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.main.js new file mode 100644 index 000000000000..52434b352c15 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.main.js @@ -0,0 +1,237 @@ +/** +* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var dtril = require( './../lib/main.js' ); + + +// FUNCTIONS // + +/** +* 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 dtril, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', function test( t ) { + t.strictEqual( dtril.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k=0)', function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 0.0, 0.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k>0)', function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( 1, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 2.0, 0.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k<0)', function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( -1, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 7.0, 8.0, 0.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (column-major, k=0)', function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 1, 3, 0 ); + B = matrix( Bbuf, 3, 3, 1, 3, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 4.0, 7.0, 0.0, 5.0, 8.0, 0.0, 0.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports non-square matrices (row-major)', function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); + Bbuf = new Float64Array( 6 ); + A = matrix( Abuf, 2, 3, 3, 1, 0 ); + B = matrix( Bbuf, 2, 3, 3, 1, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 0.0, 0.0, 4.0, 5.0, 0.0 ] ); + t.strictEqual( v, B, '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 Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 99.0, 1.0, 2.0, 3.0, 4.0 ] ); + Bbuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + A = matrix( Abuf, 2, 2, 2, 1, 1 ); + B = matrix( Bbuf, 2, 2, 2, 1, 1 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 0.0, 1.0, 0.0, 3.0, 4.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function leaves elements outside of the copied region unchanged', function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( [ -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0 ] ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, -1.0, -1.0, 4.0, 5.0, -1.0, 7.0, 8.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.native.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.native.js new file mode 100644 index 000000000000..f995c71e4bc3 --- /dev/null +++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dtril/test/test.native.js @@ -0,0 +1,246 @@ +/** +* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); +var ndarray = require( '@stdlib/ndarray/base/ctor' ); +var getData = require( '@stdlib/ndarray/data-buffer' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// VARIABLES // + +var dtril = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( dtril instanceof Error ) +}; + + +// FUNCTIONS // + +/** +* 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 dtril, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 1', opts, function test( t ) { + t.strictEqual( dtril.length, 1, 'has expected arity' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k=0)', opts, function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 0.0, 0.0, 4.0, 5.0, 0.0, 7.0, 8.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k>0)', opts, function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( 1, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 2.0, 0.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (row-major, k<0)', opts, function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( -1, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 0.0, 0.0, 0.0, 4.0, 0.0, 0.0, 7.0, 8.0, 0.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function copies the lower triangular part of a two-dimensional ndarray (column-major, k=0)', opts, function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 4.0, 7.0, 2.0, 5.0, 8.0, 3.0, 6.0, 9.0 ] ); + Bbuf = new Float64Array( 9 ); + A = matrix( Abuf, 3, 3, 1, 3, 0 ); + B = matrix( Bbuf, 3, 3, 1, 3, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 4.0, 7.0, 0.0, 5.0, 8.0, 0.0, 0.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports non-square matrices (row-major)', opts, function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); + Bbuf = new Float64Array( 6 ); + A = matrix( Abuf, 2, 3, 3, 1, 0 ); + B = matrix( Bbuf, 2, 3, 3, 1, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, 0.0, 0.0, 4.0, 5.0, 0.0 ] ); + t.strictEqual( v, B, '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 Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 99.0, 1.0, 2.0, 3.0, 4.0 ] ); + Bbuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] ); + A = matrix( Abuf, 2, 2, 2, 1, 1 ); + B = matrix( Bbuf, 2, 2, 2, 1, 1 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 0.0, 1.0, 0.0, 3.0, 4.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +}); + +tape( 'the function leaves elements outside of the copied region unchanged', opts, function test( t ) { + var expected; + var Abuf; + var Bbuf; + var A; + var B; + var k; + var v; + + Abuf = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0 ] ); + Bbuf = new Float64Array( [ -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0, -1.0 ] ); + A = matrix( Abuf, 3, 3, 3, 1, 0 ); + B = matrix( Bbuf, 3, 3, 3, 1, 0 ); + + k = scalar2ndarray( 0, { + 'dtype': 'generic' + }); + v = dtril( [ A, B, k ] ); + + expected = new Float64Array( [ 1.0, -1.0, -1.0, 4.0, 5.0, -1.0, 7.0, 8.0, 9.0 ] ); + t.strictEqual( v, B, 'returns expected value' ); + t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' ); + t.end(); +});