From 872c1d8f2fd02a1089480739d56ce2a650350184 Mon Sep 17 00:00:00 2001 From: Om-A-osc Date: Mon, 26 Jan 2026 01:31:24 +0530 Subject: [PATCH 1/2] feat: add stats/strided/dmadsorted --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: passed - task: lint_package_json status: passed - task: lint_repl_help status: passed - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: passed - task: lint_javascript_tests status: passed - task: lint_javascript_benchmarks status: passed - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: missing_dependencies - task: lint_c_examples status: missing_dependencies - task: lint_c_benchmarks status: missing_dependencies - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: passed - task: lint_license_headers status: passed --- --- .../stats/strided/dmadsorted/README.md | 298 ++++++++++++++++++ .../strided/dmadsorted/benchmark/benchmark.js | 103 ++++++ .../dmadsorted/benchmark/benchmark.native.js | 108 +++++++ .../dmadsorted/benchmark/benchmark.ndarray.js | 103 ++++++ .../benchmark/benchmark.ndarray.native.js | 108 +++++++ .../strided/dmadsorted/benchmark/c/Makefile | 146 +++++++++ .../dmadsorted/benchmark/c/benchmark.length.c | 192 +++++++++++ .../stats/strided/dmadsorted/binding.gyp | 170 ++++++++++ .../stats/strided/dmadsorted/docs/repl.txt | 96 ++++++ .../strided/dmadsorted/docs/types/index.d.ts | 92 ++++++ .../strided/dmadsorted/docs/types/test.ts | 157 +++++++++ .../strided/dmadsorted/examples/c/Makefile | 146 +++++++++ .../strided/dmadsorted/examples/c/example.c | 37 +++ .../strided/dmadsorted/examples/index.js | 31 ++ .../stats/strided/dmadsorted/include.gypi | 53 ++++ .../include/stdlib/stats/strided/dmadsorted.h | 45 +++ .../strided/dmadsorted/lib/dmadsorted.js | 52 +++ .../dmadsorted/lib/dmadsorted.native.js | 51 +++ .../stats/strided/dmadsorted/lib/index.js | 54 ++++ .../stats/strided/dmadsorted/lib/main.js | 35 ++ .../stats/strided/dmadsorted/lib/native.js | 35 ++ .../stats/strided/dmadsorted/lib/ndarray.js | 86 +++++ .../strided/dmadsorted/lib/ndarray.native.js | 52 +++ .../stats/strided/dmadsorted/manifest.json | 103 ++++++ .../stats/strided/dmadsorted/package.json | 77 +++++ .../stats/strided/dmadsorted/src/Makefile | 70 ++++ .../stats/strided/dmadsorted/src/addon.c | 61 ++++ .../stats/strided/dmadsorted/src/main.c | 96 ++++++ .../dmadsorted/test/test.dmadsorted.js | 194 ++++++++++++ .../dmadsorted/test/test.dmadsorted.native.js | 203 ++++++++++++ .../stats/strided/dmadsorted/test/test.js | 38 +++ .../strided/dmadsorted/test/test.ndarray.js | 191 +++++++++++ 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lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.js create mode 100644 lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.native.js diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/README.md b/lib/node_modules/@stdlib/stats/strided/dmadsorted/README.md new file mode 100644 index 000000000000..b598e44ca68a --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/README.md @@ -0,0 +1,298 @@ + + +# dmadsorted + +> Calculate the median absolute deviation for a sorted double-precision floating-point strided array. + +
+ +
+ + + +
+ +## Usage + +```javascript +var dmadsorted = require( '@stdlib/stats/strided/dmadsorted' ); +``` + +#### dmadsorted( N, x, strideX ) + +Computes the median absolute deviation for a sorted double-precision floating-point strided array `x`. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +var u = dmadsorted( x.length, x, 1 ); +// returns 1.0 + +x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); +var v = dmadsorted( x.length, x, 1 ); +// returns 1.5 +``` + +The function has the following parameters: + +- **N**: number of indexed elements. +- **x**: sorted input [`Float64Array`][@stdlib/array/float64]. +- **strideX**: index increment for `x`. + +The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the median absolute deviation of every other element in `x`, + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ); + +var v = dmadsorted( 4, x, 2 ); +// returns 2.0 +``` + +Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. + + + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ); +var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element + +var v = dmadsorted( 4, x1, 2 ); +// returns 2.0 +``` + +#### dmadsorted.ndarray( N, x, strideX, offsetX ) + +Computes the median absolute deviation of a sorted double-precision floating-point strided array using alternative indexing semantics. + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + +var v = dmadsorted.ndarray( x.length, x, 1, 0 ); +// returns 1.0 +``` + +The function has the following additional parameters: + +- **offset**: starting index for `x`. + +While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the median absolute deviation for every other value in `x` starting from the second value + +```javascript +var Float64Array = require( '@stdlib/array/float64' ); + +var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ); + +var v = dmadsorted.ndarray( 4, x, 2, 1 ); +// returns 2.0 +``` + +
+ + + +
+ +## Notes + +- If `N <= 0`, both functions return `NaN`. +- The input strided array must be sorted in either ascending or descending order. + +
+ + + +
+ +## Examples + + + +```javascript +var linspace = require( '@stdlib/array/linspace' ); +var dmadsorted = require( '@stdlib/stats/strided/dmadsorted' ); + +var options = { + 'dtype': 'float64' +}; +var x = linspace( 0.0, 10.0, 11, options ); +console.log( x ); + +var v = dmadsorted( x.length, x, 1 ); +console.log( v ); +``` + +
+ + + + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/stats/strided/dmadsorted.h" +``` + +#### stdlib_strided_dmadsorted( N, *X, strideX ) + +Computes the median absolute deviation of a sorted double-precision floating-point strided array. + +```c +const double x[] = { 1.0, 2.0, 3.0 }; + +double v = stdlib_strided_dmadsorted( 3, x, 1 ); +// returns 1.0 +``` + +The function accepts the following arguments: + +- **N**: `[in] CBLAS_INT` number of indexed elements. +- **X**: `[in] double*` input array. +- **strideX**: `[in] CBLAS_INT` stride length for `X`. + +```c +double stdlib_strided_dmadsorted( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ); +``` + +#### stdlib_strided_dmadsorted_ndarray( N, *X, strideX, offsetX ) + +Computes the median absolute deviation of a sorted double-precision floating-point strided array using alternative indexing semantics. + +```c +const double x[] = { 1.0, 2.0, 3.0 }; + +double v = stdlib_strided_dmadsorted_ndarray( 3, x, 1, 0 ); +// returns 1.0 +``` + +The function accepts the following arguments: + +- **N**: `[in] CBLAS_INT` number of indexed elements. +- **X**: `[in] double*` input array. +- **strideX**: `[in] CBLAS_INT` stride length for `X`. +- **offsetX**: `[in] CBLAS_INT` starting index for `X`. + +```c +double stdlib_strided_dmadsorted_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/stats/strided/dmadsorted.h" +#include + +int main( void ) { + // Create a strided array: + const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; + + // Specify the number of elements: + const int N = 4; + + // Specify the stride length: + const int strideX = 2; + + // Compute the median absolute deviation: + double v = stdlib_strided_dmadsorted( N, x, strideX ); + + // Print the result: + printf( "MAD: %lf\n", v ); +} +``` + +
+ + + +
+ + + + + +
+ + +## See Also + + +
+ + + + + +
+ +[@stdlib/array/float64]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float64 + +[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray + + + + + + + +
+ + diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.js new file mode 100644 index 000000000000..c1fbe99b5132 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.js @@ -0,0 +1,103 @@ +/** +* @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 bench = require( '@stdlib/bench' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var linspace = require( '@stdlib/array/linspace' ); +var format = require( '@stdlib/string/format' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var pkg = require( './../package.json' ).name; +var dmadsorted = require( './../lib/dmadsorted.js' ); + + +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = linspace( 0.0, len, len, 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 = dmadsorted( x.length, x, 1 ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( format( '%s:len=%d', pkg, len ), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.native.js new file mode 100644 index 000000000000..f4e18de2817a --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.native.js @@ -0,0 +1,108 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var linspace = require( '@stdlib/array/linspace' ); +var format = require( '@stdlib/string/format' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dmadsorted = tryRequire( resolve( __dirname, './../lib/dmadsorted.native.js' ) ); +var opts = { + 'skip': ( dmadsorted instanceof Error ) +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = linspace( 0.0, len, len, 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 = dmadsorted( x.length, x, 1 ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( format( '%s::native:len=%d', pkg, len ), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.ndarray.js new file mode 100644 index 000000000000..f39b261c8f52 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.ndarray.js @@ -0,0 +1,103 @@ +/** +* @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 bench = require( '@stdlib/bench' ); +var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var linspace = require( '@stdlib/array/linspace' ); +var format = require( '@stdlib/string/format' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var pkg = require( './../package.json' ).name; +var dmadsorted = require( './../lib/ndarray.js' ); + + +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = linspace( 0.0, len, len, 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 = dmadsorted( x.length, x, 1, 0 ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( format( '%s:ndarray:len=%d', pkg, len ), f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.ndarray.native.js new file mode 100644 index 000000000000..dff402e2ed80 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/benchmark.ndarray.native.js @@ -0,0 +1,108 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var linspace = require( '@stdlib/array/linspace' ); +var format = require( '@stdlib/string/format' ); +var pow = require( '@stdlib/math/base/special/pow' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var dmadsorted = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dmadsorted instanceof Error ) +}; +var options = { + 'dtype': 'float64' +}; + + +// FUNCTIONS // + +/** +* Creates a benchmark function. +* +* @private +* @param {PositiveInteger} len - array length +* @returns {Function} benchmark function +*/ +function createBenchmark( len ) { + var x = linspace( 0.0, len, len, 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 = dmadsorted( x.length, x, 1, 0 ); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnan( v ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); + } +} + + +// MAIN // + +/** +* Main execution sequence. +* +* @private +*/ +function main() { + var len; + var min; + var max; + var f; + var i; + + min = 1; // 10^min + max = 6; // 10^max + + for ( i = min; i <= max; i++ ) { + len = pow( 10, i ); + f = createBenchmark( len ); + bench( format( '%s::native:ndarray:len=%d', pkg, len ), opts, f ); + } +} + +main(); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/c/Makefile new file mode 100644 index 000000000000..0756dc7da20a --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/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/stats/strided/dmadsorted/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/c/benchmark.length.c new file mode 100644 index 000000000000..2a264851fa07 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/benchmark/c/benchmark.length.c @@ -0,0 +1,192 @@ +/** +* @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/stats/strided/dmadsorted.h" +#include +#include +#include +#include +#include + +#define NAME "dmadsorted" +#define ITERATIONS 10000000 +#define REPEATS 3 +#define MIN 1 +#define MAX 6 + +/** +* Prints the TAP version. +*/ +static void print_version( void ) { + printf( "TAP version 13\n" ); +} + +/** +* Prints the TAP summary. +* +* @param total total number of tests +* @param passing total number of passing tests +*/ +static void print_summary( int total, int passing ) { + printf( "#\n" ); + printf( "1..%d\n", total ); // TAP plan + printf( "# total %d\n", total ); + printf( "# pass %d\n", passing ); + printf( "#\n" ); + printf( "# ok\n" ); +} + +/** +* Prints benchmarks results. +* +* @param iterations number of iterations +* @param elapsed elapsed time in seconds +*/ +static void print_results( int iterations, double elapsed ) { + double rate = (double)iterations / elapsed; + printf( " ---\n" ); + printf( " iterations: %d\n", iterations ); + printf( " elapsed: %0.9f\n", elapsed ); + printf( " rate: %0.9f\n", rate ); + printf( " ...\n" ); +} + +/** +* Returns a clock time. +* +* @return clock time +*/ +static double tic( void ) { + struct timeval now; + gettimeofday( &now, NULL ); + return (double)now.tv_sec + (double)now.tv_usec/1.0e6; +} + + +/** +* Runs a benchmark. +* +* @param iterations number of iterations +* @param len array length +* @return elapsed time in seconds +*/ +static double benchmark1( int iterations, int len ) { + double elapsed; + double *x; + double v; + double t; + int i; + + x = (double *) malloc( len * sizeof( double ) ); + for ( i = 0; i < len; i++ ) { + x[ i ] = (double)i; + } + v = 0.0; + t = tic(); + for ( i = 0; i < iterations; i++ ) { + // cppcheck-suppress uninitvar + v = stdlib_strided_dmadsorted( len, x, 1 ); + if ( v != v ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( v != v ) { + printf( "should not return NaN\n" ); + } + free ( x ); + return elapsed; +} + +/** +* Runs a benchmark. +* +* @param iterations number of iterations +* @param len array length +* @return elapsed time in seconds +*/ +static double benchmark2( int iterations, int len ) { + double elapsed; + double *x; + double v; + double t; + int i; + + x = (double *) malloc( len * sizeof( double ) ); + for ( i = 0; i < len; i++ ) { + x[ i ] = (double)i; + } + v = 0.0; + t = tic(); + for ( i = 0; i < iterations; i++ ) { + // cppcheck-suppress uninitvar + v = stdlib_strided_dmadsorted_ndarray( len, x, 1, 0 ); + if ( v != v ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( v != v ) { + printf( "should not return NaN\n" ); + } + free( x ); + 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 = benchmark1( iter, len ); + print_results( iter, elapsed ); + printf( "ok %d benchmark finished\n", count ); + } + } + 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:ndarray:len=%d\n", NAME, len ); + elapsed = benchmark2( iter, len ); + print_results( iter, elapsed ); + printf( "ok %d benchmark finished\n", count ); + } + } + print_summary( count, count ); +} diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/binding.gyp b/lib/node_modules/@stdlib/stats/strided/dmadsorted/binding.gyp new file mode 100644 index 000000000000..0d6508a12e99 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/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/stats/strided/dmadsorted/docs/repl.txt b/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/repl.txt new file mode 100644 index 000000000000..e65aa8672f6b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/repl.txt @@ -0,0 +1,96 @@ +{{alias}}( N, x, strideX ) + Computes the median absolute deviation of a sorted double-precision + floating-point strided array. + + The input strided array must be sorted in either strictly ascending or + descending order. + + The `N` and stride parameters determine which elements in the strided array + are accessed at runtime. + + Indexing is relative to the first index. To introduce an offset, use a typed + array view. + + If `N <= 0`, the function returns `NaN`. + + Parameters + ---------- + N: integer + Number of indexed elements. + + x: Float64Array + Sorted input array. + + strideX: integer + Stride length. + + Returns + ------- + out: number + Median absolute deviation. + + Examples + -------- + // Standard Usage: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + > {{alias}}( x.length, x, 1 ) + 1.0 + + // Using `N` and stride parameters: + > x = new {{alias:@stdlib/array/float64}}( [ 1.0, 10.0, 2.0, 20.0, 3.0, + ... 30.0, 4.0, 40.0, 5.0, 50.0 ] ); + > {{alias}}( 5, x, 2 ) + 1.0 + + // Using view offsets: + > var x0 = new {{alias:@stdlib/array/float64}}( [ 10.0, 1.0, 20.0, 2.0, + ... 30.0, 3.0, 40.0, 4.0, 50.0, 5.0 ] ); + > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, + ... x0.BYTES_PER_ELEMENT*1 ); + > {{alias}}( 5, x1, 2 ) + 1.0 + + +{{alias}}.ndarray( N, x, strideX, offsetX ) + Computes the median absolute deviation of a sorted double-precision + floating-point strided array using alternative indexing semantics. + + While typed array views mandate a view offset based on the underlying + buffer, the `offset` parameter supports indexing semantics based on a + starting index. + + Parameters + ---------- + N: integer + Number of indexed elements. + + x: Float64Array + Sorted input array. + + strideX: integer + Stride length. + + offsetX: integer + Starting index. + + Returns + ------- + out: number + Median absolute deviation. + + Examples + -------- + // Standard Usage: + > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + > {{alias}}.ndarray( x.length, x, 1, 0 ) + 1.0 + + // Using offset parameter: + > var x = new {{alias:@stdlib/array/float64}}( [ 10.0, 1.0, 20.0, 2.0, + ... 30.0, 3.0, 40.0, 4.0, 50.0, 5.0 ] ); + > {{alias}}.ndarray( 5, x, 2, 1 ) + 1.0 + + See Also + -------- + diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/types/index.d.ts new file mode 100644 index 000000000000..55e6b6e6a531 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/types/index.d.ts @@ -0,0 +1,92 @@ +/* +* @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. +*/ + +// TypeScript Version: 4.1 + +/** +* Interface describing `dmadsorted`. +*/ +interface Routine { + /** + * Computes the median absolute deviation of a sorted double-precision floating-point strided array. + * + * @param N - number of indexed elements + * @param x - sorted input array + * @param strideX - stride length + * @returns median absolute deviation + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + * + * var v = dmadsorted( x.length, x, 1 ); + * // returns 1.0 + */ + ( N: number, x: Float64Array, strideX: number ): number; + + /** + * Computes the median absolute deviation of a sorted double-precision floating-point strided array using alternative indexing semantics. + * + * @param N - number of indexed elements + * @param x - sorted input array + * @param strideX - stride length + * @param offsetX - starting index + * @returns median absolute deviation + * + * @example + * var Float64Array = require( '@stdlib/array/float64' ); + * + * var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + * + * var v = dmadsorted.ndarray( x.length, x, 1, 0 ); + * // returns 1.0 + */ + ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number; +} + +/** +* Computes the median absolute deviation of a sorted double-precision floating-point strided array. +* +* @param N - number of indexed elements +* @param x - sorted input array +* @param strideX - stride length +* @returns median absolute deviation +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* +* var v = dmadsorted( x.length, x, 1 ); +* // returns 1.0 +* +* @example +* var Float64Array = require( '@stdlib/array/float64' ); +* +* var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); +* +* var v = dmadsorted.ndarray( x.length, x, 1, 0 ); +* // returns 1.0 +*/ +declare var dmadsorted: Routine; + + +// EXPORTS // + +export = dmadsorted; diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/types/test.ts b/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/types/test.ts new file mode 100644 index 000000000000..9be58d913140 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/docs/types/test.ts @@ -0,0 +1,157 @@ +/* +* @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. +*/ + +import dmadsorted = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + const x = new Float64Array( 10 ); + + dmadsorted( x.length, x, 1 ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a first argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dmadsorted( '10', x, 1 ); // $ExpectError + dmadsorted( true, x, 1 ); // $ExpectError + dmadsorted( false, x, 1 ); // $ExpectError + dmadsorted( null, x, 1 ); // $ExpectError + dmadsorted( undefined, x, 1 ); // $ExpectError + dmadsorted( [], x, 1 ); // $ExpectError + dmadsorted( {}, x, 1 ); // $ExpectError + dmadsorted( ( x: number ): number => x, x, 1 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a second argument which is not a Float64Array... +{ + const x = new Float64Array( 10 ); + + dmadsorted( x.length, 10, 1 ); // $ExpectError + dmadsorted( x.length, '10', 1 ); // $ExpectError + dmadsorted( x.length, true, 1 ); // $ExpectError + dmadsorted( x.length, false, 1 ); // $ExpectError + dmadsorted( x.length, null, 1 ); // $ExpectError + dmadsorted( x.length, undefined, 1 ); // $ExpectError + dmadsorted( x.length, [], 1 ); // $ExpectError + dmadsorted( x.length, {}, 1 ); // $ExpectError + dmadsorted( x.length, ( x: number ): number => x, 1 ); // $ExpectError +} + +// The compiler throws an error if the function is provided a third argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dmadsorted( x.length, x, '10' ); // $ExpectError + dmadsorted( x.length, x, true ); // $ExpectError + dmadsorted( x.length, x, false ); // $ExpectError + dmadsorted( x.length, x, null ); // $ExpectError + dmadsorted( x.length, x, undefined ); // $ExpectError + dmadsorted( x.length, x, [] ); // $ExpectError + dmadsorted( x.length, x, {} ); // $ExpectError + dmadsorted( x.length, x, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided an unsupported number of arguments... +{ + const x = new Float64Array( 10 ); + + dmadsorted(); // $ExpectError + dmadsorted( x.length ); // $ExpectError + dmadsorted( x.length, x ); // $ExpectError + dmadsorted( x.length, x, 1, 10 ); // $ExpectError +} + +// Attached to main export is an `ndarray` method which returns a number... +{ + const x = new Float64Array( 10 ); + + dmadsorted.ndarray( x.length, x, 1, 0 ); // $ExpectType number +} + +// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dmadsorted.ndarray( '10', x, 1, 0 ); // $ExpectError + dmadsorted.ndarray( true, x, 1, 0 ); // $ExpectError + dmadsorted.ndarray( false, x, 1, 0 ); // $ExpectError + dmadsorted.ndarray( null, x, 1, 0 ); // $ExpectError + dmadsorted.ndarray( undefined, x, 1, 0 ); // $ExpectError + dmadsorted.ndarray( [], x, 1, 0 ); // $ExpectError + dmadsorted.ndarray( {}, x, 1, 0 ); // $ExpectError + dmadsorted.ndarray( ( x: number ): number => x, x, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided a second argument which is not a Float64Array... +{ + const x = new Float64Array( 10 ); + + dmadsorted.ndarray( x.length, 10, 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, '10', 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, true, 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, false, 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, null, 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, undefined, 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, [], 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, {}, 1, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, ( x: number ): number => x, 1, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dmadsorted.ndarray( x.length, x, '10', 0 ); // $ExpectError + dmadsorted.ndarray( x.length, x, true, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, x, false, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, x, null, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, x, undefined, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, x, [], 0 ); // $ExpectError + dmadsorted.ndarray( x.length, x, {}, 0 ); // $ExpectError + dmadsorted.ndarray( x.length, x, ( x: number ): number => x, 0 ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number... +{ + const x = new Float64Array( 10 ); + + dmadsorted.ndarray( x.length, x, 1, '10' ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, true ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, false ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, null ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, undefined ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, [] ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, {} ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments... +{ + const x = new Float64Array( 10 ); + + dmadsorted.ndarray(); // $ExpectError + dmadsorted.ndarray( x.length ); // $ExpectError + dmadsorted.ndarray( x.length, x ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1 ); // $ExpectError + dmadsorted.ndarray( x.length, x, 1, 0, 10 ); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/examples/c/Makefile b/lib/node_modules/@stdlib/stats/strided/dmadsorted/examples/c/Makefile new file mode 100644 index 000000000000..c8f8e9a1517b --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/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/stats/strided/dmadsorted/examples/c/example.c b/lib/node_modules/@stdlib/stats/strided/dmadsorted/examples/c/example.c new file mode 100644 index 000000000000..7754b4d38717 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/examples/c/example.c @@ -0,0 +1,37 @@ +/** +* @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/stats/strided/dmadsorted.h" +#include + +int main( void ) { + // Create a strided array: + const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; + + // Specify the number of elements: + const int N = 4; + + // Specify the stride length: + const int strideX = 2; + + // Compute the median absolute deviation: + double v = stdlib_strided_dmadsorted( N, x, strideX ); + + // Print the result: + printf( "MAD: %lf\n", v ); +} diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/examples/index.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/examples/index.js new file mode 100644 index 000000000000..51a38133f2b1 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/examples/index.js @@ -0,0 +1,31 @@ +/** +* @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'; + +var linspace = require( '@stdlib/array/linspace' ); +var dmadsorted = require( './../lib' ); + +var options = { + 'dtype': 'float64' +}; +var x = linspace( 0.0, 10.0, 11, options ); // Example data for MAD +console.log( x ); + +var v = dmadsorted( x.length, x, 1 ); +console.log( v ); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/include.gypi b/lib/node_modules/@stdlib/stats/strided/dmadsorted/include.gypi new file mode 100644 index 000000000000..bee8d41a2caf --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/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': [ + '=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "stdmath", + "statistics", + "stats", + "mathematics", + "math", + "mad", + "median", + "absolute", + "deviation", + "dispersion", + "robust", + "sorted", + "ordered", + "strided", + "strided array", + "typed", + "array", + "float64", + "double", + "float64array" + ] +} diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/src/Makefile b/lib/node_modules/@stdlib/stats/strided/dmadsorted/src/Makefile new file mode 100644 index 000000000000..2caf905cedbe --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/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/stats/strided/dmadsorted/src/addon.c b/lib/node_modules/@stdlib/stats/strided/dmadsorted/src/addon.c new file mode 100644 index 000000000000..7fa6aa1af612 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/src/addon.c @@ -0,0 +1,61 @@ +/** +* @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/stats/strided/dmadsorted.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/napi/export.h" +#include "stdlib/napi/argv.h" +#include "stdlib/napi/argv_int64.h" +#include "stdlib/napi/argv_strided_float64array.h" +#include "stdlib/napi/create_double.h" +#include + +/** +* Receives JavaScript callback invocation data. +* +* @param env environment under which the function is invoked +* @param info callback data +* @return Node-API value +*/ +static napi_value addon( napi_env env, napi_callback_info info ) { + STDLIB_NAPI_ARGV( env, info, argv, argc, 3 ); + STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 ); + STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 ); + STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dmadsorted)( N, X, strideX ), v ); + return v; +} + +/** +* Receives JavaScript callback invocation data. +* +* @param env environment under which the function is invoked +* @param info callback data +* @return Node-API value +*/ +static napi_value addon_method( napi_env env, napi_callback_info info ) { + STDLIB_NAPI_ARGV( env, info, argv, argc, 4 ); + STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 ); + STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 ); + STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 ); + STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dmadsorted_ndarray)( N, X, strideX, offsetX ), v ); + return v; +} + +STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method ) diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/src/main.c b/lib/node_modules/@stdlib/stats/strided/dmadsorted/src/main.c new file mode 100644 index 000000000000..889f707d2288 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/src/main.c @@ -0,0 +1,96 @@ +/** +* @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/stats/strided/dmadsorted.h" +#include "stdlib/blas/base/shared.h" +#include "stdlib/strided/base/stride2offset.h" +#include "stdlib/stats/strided/dmediansorted.h" // For median calculation +#include // For qsort +#include // For fabs + +// Comparison function for qsort +static int compare_doubles( const void *a, const void *b ) { + double arg1 = *(const double*)a; + double arg2 = *(const double*)b; + if (arg1 < arg2) return -1; + if (arg1 > arg2) return 1; + return 0; +} + +/** +* Computes the median absolute deviation of a sorted double-precision floating-point strided array. +* +* @param N number of indexed elements +* @param X sorted input array +* @param strideX stride length +* @return output value (median absolute deviation) +*/ +double API_SUFFIX(stdlib_strided_dmadsorted)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ) { + const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX ); + return API_SUFFIX(stdlib_strided_dmadsorted_ndarray)( N, X, strideX, ox ); +} + +/** +* Computes the median absolute deviation of a sorted double-precision floating-point strided array using alternative indexing semantics. +* +* @param N number of indexed elements +* @param X sorted input array +* @param strideX stride length +* @param offsetX starting index for X +* @return output value (median absolute deviation) +*/ +double API_SUFFIX(stdlib_strided_dmadsorted_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) { + double median; + double *diffs; + CBLAS_INT i; + double mad; + + if ( N <= 0 ) { + return 0.0 / 0.0; // NaN + } + + // 1. Calculate the median of the input array X + median = API_SUFFIX(stdlib_strided_dmediansorted_ndarray)( N, X, strideX, offsetX ); + if ( isnan(median) ) { + return 0.0 / 0.0; // NaN + } + + // 2. Create a temporary array to store the absolute differences + diffs = (double *)malloc( N * sizeof(double) ); + if ( diffs == NULL ) { + // Handle memory allocation failure + return 0.0 / 0.0; // NaN + } + + // 3. Populate the temporary array with the absolute differences + for ( i = 0; i < N; i++ ) { + diffs[ i ] = fabs( X[ offsetX + (i * strideX) ] - median ); + } + + // 4. Sort this temporary array + qsort( diffs, N, sizeof(double), compare_doubles ); + + // 5. Calculate the median of the sorted temporary array (which are the absolute differences) + // Here, strideX for diffs is 1 and offsetX is 0 as it's a contiguous array + mad = API_SUFFIX(stdlib_strided_dmediansorted_ndarray)( N, diffs, 1, 0 ); + + // Free the allocated memory + free( diffs ); + + return mad; +} diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.dmadsorted.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.dmadsorted.js new file mode 100644 index 000000000000..fff4229cc8a4 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.dmadsorted.js @@ -0,0 +1,194 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dmadsorted = require( './../lib/dmadsorted.js' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dmadsorted, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 3', function test( t ) { + t.strictEqual( dmadsorted.length, 3, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the median absolute deviation of a sorted strided array', function test( t ) { + var x; + var v; + + // Odd number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); // median = 3.0, diffs = [ 2, 1, 0, 1, 2 ], sorted diffs = [ 0, 1, 1, 2, 2 ], MAD = 1.0 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 1.0, 'returns expected value for odd N' ); + + // Even number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // median = 3.5, diffs = [ 2.5, 1.5, 0.5, 0.5, 1.5, 2.5 ], sorted diffs = [ 0.5, 0.5, 1.5, 1.5, 2.5, 2.5 ], MAD = (1.5+1.5)/2 = 1.5 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 1.5, 'returns expected value for even N' ); + + // Array with negative values + x = new Float64Array( [ -3.0, -2.0, -1.0, 1.0, 2.0, 3.0 ] ); // median = 0.0, diffs = [ 3, 2, 1, 1, 2, 3 ], sorted diffs = [ 1, 1, 2, 2, 3, 3 ], MAD = 2.0 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 2.0, 'returns expected value for negative values' ); + + // All same values + x = new Float64Array( [ 5.0, 5.0, 5.0, 5.0, 5.0 ] ); // median = 5.0, diffs = [ 0, 0, 0, 0, 0 ], MAD = 0.0 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 0.0, 'returns expected value for all same values' ); + + x = new Float64Array( [ NaN ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for NaN input' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for all NaN input' ); + + x = new Float64Array( [ 5.0, NaN ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + x = new Float64Array( [ NaN, 5.0 ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( 0, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dmadsorted( -1, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter equal to `1`, the function returns `0`', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0 ] ); + + v = dmadsorted( 1, x, 1 ); + t.strictEqual( v, 0.0, 'returns expected value' ); // MAD of a single element is 0 + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 10.0, + 2.0, // 1 + 20.0, + 3.0, // 2 + 30.0, + 4.0, // 3 + 40.0, + 5.0, // 4 + 50.0 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, 2 ); + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 50.0, // 4 + 5.0, + 40.0, // 3 + 4.0, + 30.0, // 2 + 3.0, + 20.0, // 1 + 2.0, + 10.0, // 0 + 1.0 + ]); // Sub-array (reversed): [ 10.0, 20.0, 30.0, 40.0, 50.0 ], median = 30.0, MAD = 10.0 + + v = dmadsorted( 5, x, -2 ); + + t.strictEqual( v, 10.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( x.length, x, 0 ); // Array [ 1.0, 1.0, 1.0, 1.0, 1.0 ], median = 1.0, MAD = 0.0 + t.strictEqual( v, 0.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports view offsets', function test( t ) { + var x0; + var x1; + var v; + + x0 = new Float64Array([ + 10.0, + 1.0, // 0 + 20.0, + 2.0, // 1 + 30.0, + 3.0, // 2 + 40.0, + 4.0, // 3 + 50.0, + 5.0 // 4 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element + + v = dmadsorted( 5, x1, 2 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.dmadsorted.native.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.dmadsorted.native.js new file mode 100644 index 000000000000..a11ea567934c --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.dmadsorted.native.js @@ -0,0 +1,203 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var Float64Array = require( '@stdlib/array/float64' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// VARIABLES // + +var dmadsorted = tryRequire( resolve( __dirname, './../lib/dmadsorted.native.js' ) ); +var opts = { + 'skip': ( dmadsorted instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dmadsorted, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 3', opts, function test( t ) { + t.strictEqual( dmadsorted.length, 3, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the median absolute deviation of a sorted strided array', opts, function test( t ) { + var x; + var v; + + // Odd number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); // median = 3.0, diffs = [ 2, 1, 0, 1, 2 ], sorted diffs = [ 0, 1, 1, 2, 2 ], MAD = 1.0 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 1.0, 'returns expected value for odd N' ); + + // Even number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // median = 3.5, diffs = [ 2.5, 1.5, 0.5, 0.5, 1.5, 2.5 ], sorted diffs = [ 0.5, 0.5, 1.5, 1.5, 2.5, 2.5 ], MAD = (1.5+1.5)/2 = 1.5 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 1.5, 'returns expected value for even N' ); + + // Array with negative values + x = new Float64Array( [ -3.0, -2.0, -1.0, 1.0, 2.0, 3.0 ] ); // median = 0.0, diffs = [ 3, 2, 1, 1, 2, 3 ], sorted diffs = [ 1, 1, 2, 2, 3, 3 ], MAD = 2.0 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 2.0, 'returns expected value for negative values' ); + + // All same values + x = new Float64Array( [ 5.0, 5.0, 5.0, 5.0, 5.0 ] ); // median = 5.0, diffs = [ 0, 0, 0, 0, 0 ], MAD = 0.0 + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( v, 0.0, 'returns expected value for all same values' ); + + x = new Float64Array( [ NaN ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for NaN input' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for all NaN input' ); + + x = new Float64Array( [ 5.0, NaN ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + x = new Float64Array( [ NaN, 5.0 ] ); + v = dmadsorted( x.length, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( 0, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dmadsorted( -1, x, 1 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter equal to `1`, the function returns `0`', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0 ] ); + + v = dmadsorted( 1, x, 1 ); + t.strictEqual( v, 0.0, 'returns expected value' ); // MAD of a single element is 0 + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 10.0, + 2.0, // 1 + 20.0, + 3.0, // 2 + 30.0, + 4.0, // 3 + 40.0, + 5.0, // 4 + 50.0 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, 2 ); + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 50.0, // 4 + 5.0, + 40.0, // 3 + 4.0, + 30.0, // 2 + 3.0, + 20.0, // 1 + 2.0, + 10.0, // 0 + 1.0 + ]); // Sub-array (reversed): [ 10.0, 20.0, 30.0, 40.0, 50.0 ], median = 30.0, MAD = 10.0 + + v = dmadsorted( 5, x, -2 ); + + t.strictEqual( v, 10.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( x.length, x, 0 ); // Array [ 1.0, 1.0, 1.0, 1.0, 1.0 ], median = 1.0, MAD = 0.0 + t.strictEqual( v, 0.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports view offsets', opts, function test( t ) { + var x0; + var x1; + var v; + + x0 = new Float64Array([ + 10.0, + 1.0, // 0 + 20.0, + 2.0, // 1 + 30.0, + 3.0, // 2 + 40.0, + 4.0, // 3 + 50.0, + 5.0 // 4 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element + + v = dmadsorted( 5, x1, 2 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.js new file mode 100644 index 000000000000..edce47d54396 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.js @@ -0,0 +1,38 @@ +/** +* @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 dmadsorted = require( './../lib' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dmadsorted, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) { + t.strictEqual( typeof dmadsorted.ndarray, 'function', 'method is a function' ); + t.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.js new file mode 100644 index 000000000000..34e7471c63a7 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.js @@ -0,0 +1,191 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var Float64Array = require( '@stdlib/array/float64' ); +var dmadsorted = require( './../lib/ndarray.js' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dmadsorted, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 4', function test( t ) { + t.strictEqual( dmadsorted.length, 4, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the median absolute deviation of a sorted strided array', function test( t ) { + var x; + var v; + + // Odd number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); // median = 3.0, diffs = [ 2, 1, 0, 1, 2 ], sorted diffs = [ 0, 1, 1, 2, 2 ], MAD = 1.0 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 1.0, 'returns expected value for odd N' ); + + // Even number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // median = 3.5, diffs = [ 2.5, 1.5, 0.5, 0.5, 1.5, 2.5 ], sorted diffs = [ 0.5, 0.5, 1.5, 1.5, 2.5, 2.5 ], MAD = (1.5+1.5)/2 = 1.5 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 1.5, 'returns expected value for even N' ); + + // Array with negative values + x = new Float64Array( [ -3.0, -2.0, -1.0, 1.0, 2.0, 3.0 ] ); // median = 0.0, diffs = [ 3, 2, 1, 1, 2, 3 ], sorted diffs = [ 1, 1, 2, 2, 3, 3 ], MAD = 2.0 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 2.0, 'returns expected value for negative values' ); + + // All same values + x = new Float64Array( [ 5.0, 5.0, 5.0, 5.0, 5.0 ] ); // median = 5.0, diffs = [ 0, 0, 0, 0, 0 ], MAD = 0.0 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 0.0, 'returns expected value for all same values' ); + + x = new Float64Array( [ NaN ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for NaN input' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for all NaN input' ); + + x = new Float64Array( [ 5.0, NaN ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + x = new Float64Array( [ NaN, 5.0 ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( 0, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dmadsorted( -1, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter equal to `1`, the function returns `0`', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0 ] ); + + v = dmadsorted( 1, x, 1, 0 ); + t.strictEqual( v, 0.0, 'returns expected value' ); // MAD of a single element is 0 + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 10.0, + 2.0, // 1 + 20.0, + 3.0, // 2 + 30.0, + 4.0, // 3 + 40.0, + 5.0, // 4 + 50.0 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, 2, 0 ); + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 50.0, + 5.0, // 0 + 40.0, + 4.0, // 1 + 30.0, + 3.0, // 2 + 20.0, + 2.0, // 3 + 10.0, + 1.0 // 4 + ]); // Sub-array (reversed): [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, -2, 9 ); // start at index 9 (value 1.0) and go backwards + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`', function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( x.length, x, 0, 0 ); // Array [ 1.0, 1.0, 1.0, 1.0, 1.0 ], median = 1.0, MAD = 0.0 + t.strictEqual( v, 0.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an `offset` parameter', function test( t ) { + var x; + var v; + + x = new Float64Array([ + 10.0, + 1.0, // 0 + 20.0, + 2.0, // 1 + 30.0, + 3.0, // 2 + 40.0, + 4.0, // 3 + 50.0, + 5.0 // 4 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, 2, 1 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.native.js new file mode 100644 index 000000000000..886ea3db0b3e --- /dev/null +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/test/test.ndarray.native.js @@ -0,0 +1,200 @@ +/** +* @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 isnan = require( '@stdlib/math/base/assert/is-nan' ); +var Float64Array = require( '@stdlib/array/float64' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// VARIABLES // + +var dmadsorted = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); +var opts = { + 'skip': ( dmadsorted instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof dmadsorted, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function has an arity of 4', opts, function test( t ) { + t.strictEqual( dmadsorted.length, 4, 'has expected arity' ); + t.end(); +}); + +tape( 'the function calculates the median absolute deviation of a sorted strided array', opts, function test( t ) { + var x; + var v; + + // Odd number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); // median = 3.0, diffs = [ 2, 1, 0, 1, 2 ], sorted diffs = [ 0, 1, 1, 2, 2 ], MAD = 1.0 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 1.0, 'returns expected value for odd N' ); + + // Even number of elements + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); // median = 3.5, diffs = [ 2.5, 1.5, 0.5, 0.5, 1.5, 2.5 ], sorted diffs = [ 0.5, 0.5, 1.5, 1.5, 2.5, 2.5 ], MAD = (1.5+1.5)/2 = 1.5 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 1.5, 'returns expected value for even N' ); + + // Array with negative values + x = new Float64Array( [ -3.0, -2.0, -1.0, 1.0, 2.0, 3.0 ] ); // median = 0.0, diffs = [ 3, 2, 1, 1, 2, 3 ], sorted diffs = [ 1, 1, 2, 2, 3, 3 ], MAD = 2.0 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 2.0, 'returns expected value for negative values' ); + + // All same values + x = new Float64Array( [ 5.0, 5.0, 5.0, 5.0, 5.0 ] ); // median = 5.0, diffs = [ 0, 0, 0, 0, 0 ], MAD = 0.0 + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( v, 0.0, 'returns expected value for all same values' ); + + x = new Float64Array( [ NaN ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for NaN input' ); + + x = new Float64Array( [ NaN, NaN ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for all NaN input' ); + + x = new Float64Array( [ 5.0, NaN ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + x = new Float64Array( [ NaN, 5.0 ] ); + v = dmadsorted( x.length, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns NaN for input with NaN' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( 0, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + v = dmadsorted( -1, x, 1, 0 ); + t.strictEqual( isnan( v ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'if provided an `N` parameter equal to `1`, the function returns `0`', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0 ] ); + + v = dmadsorted( 1, x, 1, 0 ); + t.strictEqual( v, 0.0, 'returns expected value' ); // MAD of a single element is 0 + + t.end(); +}); + +tape( 'the function supports a `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 1.0, // 0 + 10.0, + 2.0, // 1 + 20.0, + 3.0, // 2 + 30.0, + 4.0, // 3 + 40.0, + 5.0, // 4 + 50.0 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, 2, 0 ); + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 50.0, + 5.0, // 0 + 40.0, + 4.0, // 1 + 30.0, + 3.0, // 2 + 20.0, + 2.0, // 3 + 10.0, + 1.0 // 4 + ]); // Sub-array (reversed): [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, -2, 9 ); // start at index 9 (value 1.0) and go backwards + + t.strictEqual( v, 1.0, 'returns expected value' ); + t.end(); +}); + +tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`', opts, function test( t ) { + var x; + var v; + + x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] ); + + v = dmadsorted( x.length, x, 0, 0 ); // Array [ 1.0, 1.0, 1.0, 1.0, 1.0 ], median = 1.0, MAD = 0.0 + t.strictEqual( v, 0.0, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function supports an `offset` parameter', opts, function test( t ) { + var x; + var v; + + x = new Float64Array([ + 10.0, + 1.0, // 0 + 20.0, + 2.0, // 1 + 30.0, + 3.0, // 2 + 40.0, + 4.0, // 3 + 50.0, + 5.0 // 4 + ]); // Sub-array: [ 1.0, 2.0, 3.0, 4.0, 5.0 ], median = 3.0, MAD = 1.0 + + v = dmadsorted( 5, x, 2, 1 ); + t.strictEqual( v, 1.0, 'returns expected value' ); + + t.end(); +}); From 2049e4939567be82947b9ecc3e9f65dc4f47bca1 Mon Sep 17 00:00:00 2001 From: Om-A-osc Date: Wed, 28 Jan 2026 16:18:46 +0530 Subject: [PATCH 2/2] fix: add missing gypfile key --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: na - task: lint_package_json status: passed - task: lint_repl_help status: na - task: lint_javascript_src status: na - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: passed - task: lint_typescript_tests status: na - task: lint_license_headers status: passed --- --- lib/node_modules/@stdlib/stats/strided/dmadsorted/package.json | 1 + 1 file changed, 1 insertion(+) diff --git a/lib/node_modules/@stdlib/stats/strided/dmadsorted/package.json b/lib/node_modules/@stdlib/stats/strided/dmadsorted/package.json index 0f605deea8ff..041e49bcf969 100644 --- a/lib/node_modules/@stdlib/stats/strided/dmadsorted/package.json +++ b/lib/node_modules/@stdlib/stats/strided/dmadsorted/package.json @@ -15,6 +15,7 @@ ], "main": "./lib", "browser": "./lib/main.js", + "gypfile": true, "directories": { "benchmark": "./benchmark", "doc": "./docs",